diff --git a/.cppcheck_suppressions b/.cppcheck_suppressions
index 5b140152e7f08..3c2cdb8aafb20 100644
--- a/.cppcheck_suppressions
+++ b/.cppcheck_suppressions
@@ -1,20 +1,17 @@
+*:*/test/*
+
 arrayIndexThenCheck
-assignBoolToFloat
 checkersReport
 constParameterPointer
 constParameterReference
 constStatement
 constVariable
-constVariablePointer
 constVariableReference
 containerOutOfBounds
 cstyleCast
-ctuOneDefinitionRuleViolation
-current_deleted_index
 duplicateAssignExpression
 duplicateBranch
 duplicateBreak
-duplicateCondition
 duplicateExpression
 funcArgNamesDifferent
 functionConst
@@ -23,37 +20,28 @@ invalidPointerCast
 knownConditionTrueFalse
 missingInclude
 missingIncludeSystem
-multiCondition
 noConstructor
 noExplicitConstructor
 noValidConfiguration
-obstacle_cruise_planner
 passedByValue
 preprocessorErrorDirective
-redundantAssignment
 redundantContinue
-redundantIfRemove
 redundantInitialization
 returnByReference
-selfAssignment
 shadowArgument
 shadowFunction
 shadowVariable
-stlFindInsert
 syntaxError
 uninitMemberVar
 unknownMacro
 unmatchedSuppression
-unpreciseMathCall
 unreadVariable
-unsignedLessThanZero
 unusedFunction
 unusedScopedObject
 unusedStructMember
 unusedVariable
 useInitializationList
 useStlAlgorithm
-uselessCallsSubstr
 uselessOverride
 variableScope
 virtualCallInConstructor
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 45fc1dd5176d6..ade750db259b9 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1,11 +1,15 @@
 ### Automatically generated from package.xml ###
 common/autoware_ad_api_specs/** isamu.takagi@tier4.jp ryohsuke.mitsudome@tier4.jp
 common/autoware_auto_common/** opensource@apex.ai satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+common/autoware_grid_map_utils/** maxime.clement@tier4.jp
+common/autoware_motion_utils/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 common/autoware_overlay_rviz_plugin/autoware_mission_details_overlay_rviz_plugin/** ahmed.ebrahim@leodrive.ai
 common/autoware_overlay_rviz_plugin/autoware_overlay_rviz_plugin/** khalil@leodrive.ai
 common/autoware_perception_rviz_plugin/** opensource@apex.ai satoshi.tanaka@tier4.jp shunsuke.miura@tier4.jp taiki.tanaka@tier4.jp takeshi.miura@tier4.jp yoshi.ri@tier4.jp
 common/autoware_point_types/** taichi.higashide@tier4.jp
+common/autoware_test_utils/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp takamasa.horibe@tier4.jp zulfaqar.azmi@tier4.jp
 common/autoware_testing/** adam.dabrowski@robotec.ai satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+common/autoware_universe_utils/** mamoru.sobue@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 common/bag_time_manager_rviz_plugin/** taiki.tanaka@tier4.jp
 common/component_interface_specs/** isamu.takagi@tier4.jp yukihiro.saito@tier4.jp
 common/component_interface_tools/** isamu.takagi@tier4.jp
@@ -16,10 +20,8 @@ common/geography_utils/** koji.minoda@tier4.jp
 common/global_parameter_loader/** ryohsuke.mitsudome@tier4.jp
 common/glog_component/** takamasa.horibe@tier4.jp
 common/goal_distance_calculator/** taiki.tanaka@tier4.jp
-common/grid_map_utils/** maxime.clement@tier4.jp
 common/interpolation/** fumiya.watanabe@tier4.jp takayuki.murooka@tier4.jp
 common/kalman_filter/** koji.minoda@tier4.jp takeshi.ishita@tier4.jp yukihiro.saito@tier4.jp
-common/motion_utils/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 common/object_recognition_utils/** satoshi.tanaka@tier4.jp shunsuke.miura@tier4.jp takayuki.murooka@tier4.jp yoshi.ri@tier4.jp
 common/osqp_interface/** fumiya.watanabe@tier4.jp maxime.clement@tier4.jp satoshi.ota@tier4.jp takayuki.murooka@tier4.jp
 common/path_distance_calculator/** isamu.takagi@tier4.jp
@@ -30,7 +32,6 @@ common/signal_processing/** ali.boyali@tier4.jp fumiya.watanabe@tier4.jp kyoichi
 common/tensorrt_common/** dan.umeda@tier4.jp manato.hirabayashi@tier4.jp
 common/tier4_adapi_rviz_plugin/** hiroki.ota@tier4.jp isamu.takagi@tier4.jp kosuke.takeuchi@tier4.jp
 common/tier4_api_utils/** isamu.takagi@tier4.jp
-common/tier4_autoware_utils/** mamoru.sobue@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 common/tier4_camera_view_rviz_plugin/** makoto.ybauta@tier4.jp uken.ryu@tier4.jp
 common/tier4_datetime_rviz_plugin/** isamu.takagi@tier4.jp
 common/tier4_localization_rviz_plugin/** isamu.takagi@tier4.jp takamasa.horibe@tier4.jp
@@ -50,24 +51,23 @@ control/autoware_external_cmd_selector/** fumiya.watanabe@tier4.jp satoshi.ota@t
 control/autoware_joy_controller/** fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 control/autoware_lane_departure_checker/** kyoichi.sugahara@tier4.jp makoto.kurihara@tier4.jp zulfaqar.azmi@tier4.jp
 control/autoware_mpc_lateral_controller/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
+control/autoware_operation_mode_transition_manager/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 control/autoware_pid_longitudinal_controller/** mamoru.sobue@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
+control/autoware_pure_pursuit/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
+control/autoware_shift_decider/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 control/autoware_smart_mpc_trajectory_follower/** kosuke.takeuchi@tier4.jp masayuki.aino@proxima-ai-tech.com takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
+control/autoware_trajectory_follower_base/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
+control/autoware_trajectory_follower_node/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 control/autoware_vehicle_cmd_gate/** takamasa.horibe@tier4.jp tomoya.kimura@tier4.jp
 control/control_performance_analysis/** berkay@leodrive.ai fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 control/obstacle_collision_checker/** fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
-control/operation_mode_transition_manager/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 control/predicted_path_checker/** berkay@leodrive.ai
-control/autoware_smart_mpc_trajectory_follower/** masayuki.aino@proxima-ai-tech.com
-control/autoware_trajectory_follower_base/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
-control/pure_pursuit/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
-control/shift_decider/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
-control/autoware_trajectory_follower_node/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
-evaluator/control_evaluator/** daniel.sanchez@tier4.jp takayuki.murooka@tier4.jp
+evaluator/autoware_control_evaluator/** daniel.sanchez@tier4.jp takayuki.murooka@tier4.jp
+evaluator/autoware_planning_evaluator/** kyoichi.sugahara@tier4.jp maxime.clement@tier4.jp
 evaluator/diagnostic_converter/** kyoichi.sugahara@tier4.jp maxime.clement@tier4.jp takamasa.horibe@tier4.jp
 evaluator/kinematic_evaluator/** dominik.jargot@robotec.ai fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 evaluator/localization_evaluator/** dominik.jargot@robotec.ai koji.minoda@tier4.jp
 evaluator/perception_online_evaluator/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp kotaro.uetake@tier4.jp kyoichi.sugahara@tier4.jp shunsuke.miura@tier4.jp yoshi.ri@tier4.jp
-evaluator/planning_evaluator/** kyoichi.sugahara@tier4.jp maxime.clement@tier4.jp
 launch/tier4_autoware_api_launch/** isamu.takagi@tier4.jp ryohsuke.mitsudome@tier4.jp
 launch/tier4_control_launch/** takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 launch/tier4_localization_launch/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
@@ -78,21 +78,20 @@ launch/tier4_sensing_launch/** yukihiro.saito@tier4.jp
 launch/tier4_simulator_launch/** keisuke.shima@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 launch/tier4_system_launch/** fumihito.ito@tier4.jp tetsuhiro.kawaguchi@tier4.jp
 launch/tier4_vehicle_launch/** yukihiro.saito@tier4.jp
+localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
+localization/autoware_landmark_based_localizer/autoware_landmark_manager/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/autoware_pose_covariance_modifier/** melike@leodrive.ai
 localization/ekf_localizer/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp takamasa.horibe@tier4.jp takeshi.ishita@tier4.jp yamato.ando@tier4.jp
 localization/geo_pose_projector/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/gyro_odometer/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
-localization/landmark_based_localizer/ar_tag_based_localizer/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
-localization/landmark_based_localizer/landmark_manager/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/localization_error_monitor/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/localization_util/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/ndt_scan_matcher/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/pose2twist/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
-localization/pose_estimator_arbiter/** kento.yabuuchi.2@tier4.jp
+localization/pose_estimator_arbiter/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/pose_initializer/** anh.nguyen.2@tier4.jp isamu.takagi@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/pose_instability_detector/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/stop_filter/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
-localization/tree_structured_parzen_estimator/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/twist2accel/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp koji.minoda@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/yabloc/yabloc_common/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
 localization/yabloc/yabloc_image_processing/** anh.nguyen.2@tier4.jp kento.yabuuchi.2@tier4.jp masahiro.sakamoto@tier4.jp ryu.yamamoto@tier4.jp shintaro.sakoda@tier4.jp taiki.yamada@tier4.jp yamato.ando@tier4.jp
@@ -146,71 +145,58 @@ perception/traffic_light_map_based_detector/** shunsuke.miura@tier4.jp tao.zhong
 perception/traffic_light_multi_camera_fusion/** shunsuke.miura@tier4.jp tao.zhong@tier4.jp
 perception/traffic_light_occlusion_predictor/** shunsuke.miura@tier4.jp tao.zhong@tier4.jp
 perception/traffic_light_visualization/** tao.zhong@tier4.jp yukihiro.saito@tier4.jp
-planning/autoware_behavior_path_avoidance_by_lane_change_module/** fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/** kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp takayuki.murooka@tier4.jp yuki.takagi@tier4.jp
-planning/autoware_behavior_path_external_request_lane_change_module/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_path_goal_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_path_lane_change_module/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_path_planner_common/** daniel.sanchez@tier4.jp fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp maxime.clement@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_path_side_shift_module/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_path_start_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_path_static_obstacle_avoidance_module/** fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_velocity_blind_spot_module/** mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_intersection_module/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_occlusion_spot_module/** shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_planner/** kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp makoto.kurihara@tier4.jp mamoru.sobue@tier4.jp maxime.clement@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_planner_common/** fumiya.watanabe@tier4.jp isamu.takagi@tier4.jp mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_run_out_module/** kosuke.takeuchi@tier4.jp makoto.kurihara@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_stop_line_module/** fumiya.watanabe@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp zhe.shen@tier4.jp
-planning/autoware_behavior_velocity_template_module/** daniel.sanchez@tier4.jp
-planning/autoware_behavior_velocity_traffic_light_module/** mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_virtual_traffic_light_module/** kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_walkway_module/** satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 planning/autoware_costmap_generator/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_external_velocity_limit_selector/** satoshi.ota@tier4.jp shinnosuke.hirakawa@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
 planning/autoware_freespace_planner/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_freespace_planning_algorithms/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_mission_planner/** isamu.takagi@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp ryohsuke.mitsudome@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_objects_of_interest_marker_interface/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp zulfaqar.azmi@tier4.jp
+planning/autoware_obstacle_cruise_planner/** kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp takayuki.murooka@tier4.jp yuki.takagi@tier4.jp
 planning/autoware_path_optimizer/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_path_smoother/** maxime.clement@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_planning_test_manager/** kyoichi.sugahara@tier4.jp takamasa.horibe@tier4.jp
 planning/autoware_planning_topic_converter/** kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp
 planning/autoware_planning_validator/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp
 planning/autoware_remaining_distance_time_calculator/** ahmed.ebrahim@leodrive.ai
+planning/autoware_route_handler/** alqudah.mohammad@tier4.jp fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp takayuki.murooka@tier4.jp zulfaqar.azmi@tier4.jp
 planning/autoware_rtc_interface/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp taiki.tanaka@tier4.jp
 planning/autoware_scenario_selector/** fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 planning/autoware_static_centerline_generator/** kosuke.takeuchi@tier4.jp takayuki.murooka@tier4.jp
 planning/autoware_surround_obstacle_checker/** go.sakayori@tier4.jp satoshi.ota@tier4.jp
 planning/autoware_velocity_smoother/** fumiya.watanabe@tier4.jp makoto.kurihara@tier4.jp satoshi.ota@tier4.jp takamasa.horibe@tier4.jp
-planning/behavior_path_planner/** fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_behavior_path_sampling_planner_module/** daniel.sanchez@tier4.jp maxime.clement@tier4.jp
-planning/autoware_behavior_path_side_shift_module/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_path_start_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_path_side_shift_module/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/behavior_path_start_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_blind_spot_module/** mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_crosswalk_module/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp yuki.takagi@tier4.jp
-planning/behavior_velocity_detection_area_module/** kyoichi.sugahara@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/behavior_velocity_dynamic_obstacle_stop_module/** mamoru.sobue@tier4.jp maxime.clement@tier4.jp
-planning/behavior_velocity_no_drivable_lane_module/** ahmed.ebrahim@leodrive.ai fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_no_stopping_area_module/** kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_occlusion_spot_module/** shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_planner_common/** fumiya.watanabe@tier4.jp isamu.takagi@tier4.jp mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
-planning/autoware_behavior_velocity_run_out_module/** kosuke.takeuchi@tier4.jp makoto.kurihara@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
-planning/behavior_velocity_speed_bump_module/** mdogru@leodrive.ai shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/** fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/** kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp takayuki.murooka@tier4.jp yuki.takagi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_lane_change_module/** alqudah.mohammad@tier4.jp fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_planner/** fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_planner_common/** daniel.sanchez@tier4.jp fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp maxime.clement@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/** daniel.sanchez@tier4.jp maxime.clement@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_side_shift_module/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_start_planner_module/** daniel.sanchez@tier4.jp kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/** fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp zulfaqar.azmi@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/** mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp yuki.takagi@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/** kyoichi.sugahara@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/** ahmed.ebrahim@leodrive.ai fumiya.watanabe@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takamasa.horibe@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/** kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/** shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_planner/** kosuke.takeuchi@tier4.jp kyoichi.sugahara@tier4.jp makoto.kurihara@tier4.jp mamoru.sobue@tier4.jp maxime.clement@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/** fumiya.watanabe@tier4.jp isamu.takagi@tier4.jp mamoru.sobue@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/** kosuke.takeuchi@tier4.jp makoto.kurihara@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomohito.ando@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/** fumiya.watanabe@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp zhe.shen@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/** daniel.sanchez@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/** mamoru.sobue@tier4.jp satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/** kosuke.takeuchi@tier4.jp shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/** satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
+planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/** mdogru@leodrive.ai shumpei.wakabayashi@tier4.jp tomoya.kimura@tier4.jp
+planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/** mamoru.sobue@tier4.jp maxime.clement@tier4.jp
 planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/** maxime.clement@tier4.jp
 planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/** maxime.clement@tier4.jp shumpei.wakabayashi@tier4.jp takayuki.murooka@tier4.jp tomoya.kimura@tier4.jp
 planning/motion_velocity_planner/autoware_motion_velocity_planner_common/** maxime.clement@tier4.jp
 planning/motion_velocity_planner/autoware_motion_velocity_planner_node/** maxime.clement@tier4.jp
-planning/autoware_objects_of_interest_marker_interface/** fumiya.watanabe@tier4.jp kosuke.takeuchi@tier4.jp zulfaqar.azmi@tier4.jp
-planning/autoware_obstacle_cruise_planner/** kosuke.takeuchi@tier4.jp satoshi.ota@tier4.jp takayuki.murooka@tier4.jp yuki.takagi@tier4.jp
 planning/obstacle_stop_planner/** berkay@leodrive.ai bnk@leodrive.ai satoshi.ota@tier4.jp shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp tomoya.kimura@tier4.jp
-planning/planning_test_utils/** kyoichi.sugahara@tier4.jp mamoru.sobue@tier4.jp takamasa.horibe@tier4.jp zulfaqar.azmi@tier4.jp
-planning/planning_validator/** kosuke.takeuchi@tier4.jp takamasa.horibe@tier4.jp
-planning/autoware_route_handler/** fumiya.watanabe@tier4.jp go.sakayori@tier4.jp kosuke.takeuchi@tier4.jp mamoru.sobue@tier4.jp takayuki.murooka@tier4.jp zulfaqar.azmi@tier4.jp
-planning/rtc_interface/** fumiya.watanabe@tier4.jp kyoichi.sugahara@tier4.jp satoshi.ota@tier4.jp taiki.tanaka@tier4.jp
-planning/rtc_replayer/** fumiya.watanabe@tier4.jp taiki.tanaka@tier4.jp
 planning/sampling_based_planner/autoware_bezier_sampler/** maxime.clement@tier4.jp
 planning/sampling_based_planner/autoware_frenet_planner/** maxime.clement@tier4.jp
 planning/sampling_based_planner/autoware_path_sampler/** maxime.clement@tier4.jp
@@ -254,9 +240,9 @@ system/system_monitor/** fumihito.ito@tier4.jp tetsuhiro.kawaguchi@tier4.jp
 system/topic_state_monitor/** ryohsuke.mitsudome@tier4.jp
 system/velodyne_monitor/** fumihito.ito@tier4.jp
 tools/reaction_analyzer/** berkay@leodrive.ai
-vehicle/autoware_accel_brake_map_calibrator/** taiki.tanaka@tier4.jp takeshi.miura@tier4.jp tomoya.kimura@tier4.jp
+vehicle/autoware_accel_brake_map_calibrator/** eiki.nagata.2@tier4.jp taiki.tanaka@tier4.jp takeshi.miura@tier4.jp tomoya.kimura@tier4.jp
 vehicle/autoware_external_cmd_converter/** eiki.nagata.2@tier4.jp takamasa.horibe@tier4.jp
-vehicle/autoware_raw_vehicle_cmd_converter/** makoto.kurihara@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp
+vehicle/autoware_raw_vehicle_cmd_converter/** makoto.kurihara@tier4.jp sho.iwasawa.2@tier4.jp taiki.tanaka@tier4.jp takamasa.horibe@tier4.jp
 vehicle/autoware_steer_offset_estimator/** taiki.tanaka@tier4.jp
 vehicle/autoware_vehicle_info_utils/** shumpei.wakabayashi@tier4.jp taiki.tanaka@tier4.jp tomoya.kimura@tier4.jp
 
diff --git a/.github/sync-files.yaml b/.github/sync-files.yaml
index 5b60a371abd93..263df86438787 100644
--- a/.github/sync-files.yaml
+++ b/.github/sync-files.yaml
@@ -18,6 +18,14 @@
     - source: .github/workflows/pre-commit-optional.yaml
     - source: .github/workflows/semantic-pull-request.yaml
     - source: .github/workflows/spell-check-differential.yaml
+      pre-commands: |
+        sd "        with:\n" "        with:\n          local-cspell-json: .cspell.json\n" {source}
+    - source: .github/workflows/spell-check-differential.yaml
+      dest: .github/workflows/spell-check-daily.yaml
+      pre-commands: |
+        sd "spell-check-differential" "spell-check-daily" {source}
+        sd "        with:\n" "        with:\n          local-cspell-json: .cspell.json\n          incremental-files-only: false\n" {source}
+        sd "on:\n  pull_request:\n" "on:\n  schedule:\n    - cron: 0 0 * * *\n  workflow_dispatch:\n" {source}
     - source: .github/workflows/sync-files.yaml
     - source: .clang-format
     - source: .markdown-link-check.json
@@ -31,39 +39,9 @@
 
 - repository: autowarefoundation/autoware_common
   files:
-    - source: .github/workflows/build-and-test.yaml
-      pre-commands: |
-        sd "container: ros:(\w+)" "container: ghcr.io/autowarefoundation/autoware-universe:\$1-latest" {source}
-
-        sd -s 'container: ${{ matrix.container }}' 'container: ${{ matrix.container }}${{ matrix.container-suffix }}' {source}
-        sd -- \
-        "       include:" \
-        "       container-suffix:
-                  - \"\"
-                  - -cuda
-                include:" {source}
-    - source: .github/workflows/build-and-test-differential-self-hosted.yaml
+    - source: .github/workflows/clang-tidy-differential.yaml
       pre-commands: |
-        sd "container: ros:(\w+)" "container: ghcr.io/autowarefoundation/autoware-universe:\$1-latest" {source}
-
-        sd -s 'container: ${{ matrix.container }}' 'container: ${{ matrix.container }}${{ matrix.container-suffix }}' {source}
-        sd -- \
-        "       include:" \
-        "       container-suffix:
-                  - \"\"
-                  - -cuda
-                include:" {source}
-    - source: .github/workflows/build-and-test-self-hosted.yaml
-      pre-commands: |
-        sd "container: ros:(\w+)" "container: ghcr.io/autowarefoundation/autoware-universe:\$1-latest" {source}
-
-        sd -s 'container: ${{ matrix.container }}' 'container: ${{ matrix.container }}${{ matrix.container-suffix }}' {source}
-        sd -- \
-        "       include:" \
-        "       container-suffix:
-                  - \"\"
-                  - -cuda
-                include:" {source}
+        sd 'container: ros:(\w+)' 'container: ghcr.io/autowarefoundation/autoware:latest-prebuilt-cuda' {source}
     - source: .github/workflows/check-build-depends.yaml
     - source: .github/workflows/clang-tidy-pr-comments.yaml
     - source: .github/workflows/clang-tidy-pr-comments-manually.yaml
diff --git a/.github/workflows/build-and-test-arm64.yaml b/.github/workflows/build-and-test-daily-arm64.yaml
similarity index 79%
rename from .github/workflows/build-and-test-arm64.yaml
rename to .github/workflows/build-and-test-daily-arm64.yaml
index c9a4b46874e18..ee9caae26e5d6 100644
--- a/.github/workflows/build-and-test-arm64.yaml
+++ b/.github/workflows/build-and-test-daily-arm64.yaml
@@ -1,4 +1,4 @@
-name: build-and-test-arm64
+name: build-and-test-daily-arm64
 
 on:
   schedule:
@@ -6,7 +6,7 @@ on:
   workflow_dispatch:
 
 jobs:
-  build-and-test-arm64:
+  build-and-test-daily-arm64:
     runs-on: [self-hosted, linux, ARM64]
     container: ${{ matrix.container }}${{ matrix.container-suffix }}
     strategy:
@@ -24,6 +24,8 @@ jobs:
     steps:
       - name: Check out repository
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
 
       - name: Show disk space before the tasks
         run: df -h
@@ -45,11 +47,21 @@ jobs:
 
       - name: Test
         if: ${{ steps.get-self-packages.outputs.self-packages != '' }}
+        id: test
         uses: autowarefoundation/autoware-github-actions/colcon-test@v1
         with:
           rosdistro: ${{ matrix.rosdistro }}
           target-packages: ${{ steps.get-self-packages.outputs.self-packages }}
           build-depends-repos: ${{ matrix.build-depends-repos }}
 
+      - name: Upload coverage to CodeCov
+        if: ${{ steps.test.outputs.coverage-report-files != '' }}
+        uses: codecov/codecov-action@v4
+        with:
+          files: ${{ steps.test.outputs.coverage-report-files }}
+          fail_ci_if_error: false
+          verbose: true
+          flags: total-arm64
+
       - name: Show disk space after the tasks
         run: df -h
diff --git a/.github/workflows/build-and-test-daily.yaml b/.github/workflows/build-and-test-daily.yaml
new file mode 100644
index 0000000000000..50e259053de46
--- /dev/null
+++ b/.github/workflows/build-and-test-daily.yaml
@@ -0,0 +1,67 @@
+name: build-and-test-daily
+
+on:
+  schedule:
+    - cron: 0 0 * * *
+  workflow_dispatch:
+
+jobs:
+  build-and-test-daily:
+    runs-on: [self-hosted, linux, X64]
+    container: ${{ matrix.container }}${{ matrix.container-suffix }}
+    strategy:
+      fail-fast: false
+      matrix:
+        rosdistro:
+          - humble
+        container-suffix:
+          - ""
+          - -cuda
+        include:
+          - rosdistro: humble
+            container: ghcr.io/autowarefoundation/autoware:latest-prebuilt
+            build-depends-repos: build_depends.repos
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Show disk space before the tasks
+        run: df -h
+
+      - name: Remove exec_depend
+        uses: autowarefoundation/autoware-github-actions/remove-exec-depend@v1
+
+      - name: Get self packages
+        id: get-self-packages
+        uses: autowarefoundation/autoware-github-actions/get-self-packages@v1
+
+      - name: Build
+        if: ${{ steps.get-self-packages.outputs.self-packages != '' }}
+        uses: autowarefoundation/autoware-github-actions/colcon-build@v1
+        with:
+          rosdistro: ${{ matrix.rosdistro }}
+          target-packages: ${{ steps.get-self-packages.outputs.self-packages }}
+          build-depends-repos: ${{ matrix.build-depends-repos }}
+
+      - name: Test
+        if: ${{ steps.get-self-packages.outputs.self-packages != '' }}
+        id: test
+        uses: autowarefoundation/autoware-github-actions/colcon-test@v1
+        with:
+          rosdistro: ${{ matrix.rosdistro }}
+          target-packages: ${{ steps.get-self-packages.outputs.self-packages }}
+          build-depends-repos: ${{ matrix.build-depends-repos }}
+
+      - name: Upload coverage to CodeCov
+        if: ${{ steps.test.outputs.coverage-report-files != '' }}
+        uses: codecov/codecov-action@v4
+        with:
+          files: ${{ steps.test.outputs.coverage-report-files }}
+          fail_ci_if_error: false
+          verbose: true
+          flags: total
+
+      - name: Show disk space after the tasks
+        run: df -h
diff --git a/.github/workflows/build-and-test-differential-arm64.yaml b/.github/workflows/build-and-test-differential-arm64.yaml
index d6e49eaabc5bd..8f333a3ab22d1 100644
--- a/.github/workflows/build-and-test-differential-arm64.yaml
+++ b/.github/workflows/build-and-test-differential-arm64.yaml
@@ -5,18 +5,18 @@ on:
     types:
       - opened
       - synchronize
+      - reopened
       - labeled
-  workflow_dispatch:
 
 jobs:
-  prevent-no-label-execution:
-    uses: autowarefoundation/autoware-github-actions/.github/workflows/prevent-no-label-execution.yaml@v1
+  make-sure-label-is-present:
+    uses: autowarefoundation/autoware-github-actions/.github/workflows/make-sure-label-is-present.yaml@v1
     with:
       label: type:arm64
 
   build-and-test-differential-arm64:
-    needs: prevent-no-label-execution
-    if: ${{ needs.prevent-no-label-execution.outputs.run == 'true' }}
+    needs: make-sure-label-is-present
+    if: ${{ needs.make-sure-label-is-present.outputs.result == 'true' }}
     runs-on: [self-hosted, linux, ARM64]
     container: ${{ matrix.container }}${{ matrix.container-suffix }}
     strategy:
@@ -32,10 +32,14 @@ jobs:
             container: ghcr.io/autowarefoundation/autoware:latest-prebuilt
             build-depends-repos: build_depends.repos
     steps:
-      - name: Check out repository
+      - name: Set PR fetch depth
+        run: echo "PR_FETCH_DEPTH=$(( ${{ github.event.pull_request.commits }} + 1 ))" >> "${GITHUB_ENV}"
+
+      - name: Checkout PR branch and all PR commits
         uses: actions/checkout@v4
         with:
-          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.sha }}
+          fetch-depth: ${{ env.PR_FETCH_DEPTH }}
 
       - name: Show disk space before the tasks
         run: df -h
@@ -56,6 +60,7 @@ jobs:
           build-depends-repos: ${{ matrix.build-depends-repos }}
 
       - name: Test
+        id: test
         if: ${{ steps.get-modified-packages.outputs.modified-packages != '' }}
         uses: autowarefoundation/autoware-github-actions/colcon-test@v1
         with:
@@ -63,5 +68,14 @@ jobs:
           target-packages: ${{ steps.get-modified-packages.outputs.modified-packages }}
           build-depends-repos: ${{ matrix.build-depends-repos }}
 
+      - name: Upload coverage to CodeCov
+        if: ${{ steps.test.outputs.coverage-report-files != '' }}
+        uses: codecov/codecov-action@v4
+        with:
+          files: ${{ steps.test.outputs.coverage-report-files }}
+          fail_ci_if_error: false
+          verbose: true
+          flags: differential-arm64
+
       - name: Show disk space after the tasks
         run: df -h
diff --git a/.github/workflows/build-and-test-differential.yaml b/.github/workflows/build-and-test-differential.yaml
index 6745976aa543a..e789b8744f03d 100644
--- a/.github/workflows/build-and-test-differential.yaml
+++ b/.github/workflows/build-and-test-differential.yaml
@@ -5,17 +5,22 @@ on:
     types:
       - opened
       - synchronize
+      - reopened
       - labeled
 
+env:
+  CC: /usr/lib/ccache/gcc
+  CXX: /usr/lib/ccache/g++
+
 jobs:
-  prevent-no-label-execution:
-    uses: autowarefoundation/autoware-github-actions/.github/workflows/prevent-no-label-execution.yaml@v1
+  make-sure-label-is-present:
+    uses: autowarefoundation/autoware-github-actions/.github/workflows/make-sure-label-is-present.yaml@v1
     with:
       label: tag:run-build-and-test-differential
 
   build-and-test-differential:
-    needs: prevent-no-label-execution
-    if: ${{ needs.prevent-no-label-execution.outputs.run == 'true' }}
+    needs: make-sure-label-is-present
+    if: ${{ needs.make-sure-label-is-present.outputs.result == 'true' }}
     runs-on: ubuntu-latest
     container: ${{ matrix.container }}${{ matrix.container-suffix }}
     strategy:
@@ -31,10 +36,14 @@ jobs:
             container: ghcr.io/autowarefoundation/autoware:latest-prebuilt
             build-depends-repos: build_depends.repos
     steps:
-      - name: Check out repository
+      - name: Set PR fetch depth
+        run: echo "PR_FETCH_DEPTH=$(( ${{ github.event.pull_request.commits }} + 1 ))" >> "${GITHUB_ENV}"
+
+      - name: Checkout PR branch and all PR commits
         uses: actions/checkout@v4
         with:
-          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.sha }}
+          fetch-depth: ${{ env.PR_FETCH_DEPTH }}
 
       - name: Show disk space before the tasks
         run: df -h
@@ -46,6 +55,25 @@ jobs:
         id: get-modified-packages
         uses: autowarefoundation/autoware-github-actions/get-modified-packages@v1
 
+      - name: Create ccache directory
+        run: |
+          mkdir -p ${CCACHE_DIR}
+          du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
+      - name: Attempt to restore ccache
+        uses: actions/cache/restore@v4
+        with:
+          path: |
+            /root/.ccache
+          key: ccache-main-${{ runner.arch }}-${{ matrix.rosdistro }}-${{ github.event.pull_request.base.sha }}
+          restore-keys: |
+            ccache-main-${{ runner.arch }}-${{ matrix.rosdistro }}-
+
+      - name: Show ccache stats before build
+        run: du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
       - name: Build
         if: ${{ steps.get-modified-packages.outputs.modified-packages != '' }}
         uses: autowarefoundation/autoware-github-actions/colcon-build@v1
@@ -54,6 +82,10 @@ jobs:
           target-packages: ${{ steps.get-modified-packages.outputs.modified-packages }}
           build-depends-repos: ${{ matrix.build-depends-repos }}
 
+      - name: Show ccache stats after build
+        run: du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
       - name: Test
         id: test
         if: ${{ steps.get-modified-packages.outputs.modified-packages != '' }}
@@ -65,7 +97,7 @@ jobs:
 
       - name: Upload coverage to CodeCov
         if: ${{ steps.test.outputs.coverage-report-files != '' }}
-        uses: codecov/codecov-action@v3
+        uses: codecov/codecov-action@v4
         with:
           files: ${{ steps.test.outputs.coverage-report-files }}
           fail_ci_if_error: false
diff --git a/.github/workflows/build-and-test.yaml b/.github/workflows/build-and-test.yaml
index 85c531a02fca9..0c56d12800888 100644
--- a/.github/workflows/build-and-test.yaml
+++ b/.github/workflows/build-and-test.yaml
@@ -2,13 +2,16 @@ name: build-and-test
 
 on:
   push:
-  schedule:
-    - cron: 0 0 * * *
+    branches:
+      - main
   workflow_dispatch:
 
+env:
+  CC: /usr/lib/ccache/gcc
+  CXX: /usr/lib/ccache/g++
+
 jobs:
   build-and-test:
-    if: ${{ github.event_name != 'push' || github.ref_name == github.event.repository.default_branch }}
     runs-on: [self-hosted, linux, X64]
     container: ${{ matrix.container }}${{ matrix.container-suffix }}
     strategy:
@@ -17,7 +20,6 @@ jobs:
         rosdistro:
           - humble
         container-suffix:
-          - ""
           - -cuda
         include:
           - rosdistro: humble
@@ -26,6 +28,8 @@ jobs:
     steps:
       - name: Check out repository
         uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
 
       - name: Show disk space before the tasks
         run: df -h
@@ -37,6 +41,31 @@ jobs:
         id: get-self-packages
         uses: autowarefoundation/autoware-github-actions/get-self-packages@v1
 
+      - name: Create ccache directory
+        run: |
+          mkdir -p ${CCACHE_DIR}
+          du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
+      - name: Attempt to restore ccache
+        uses: actions/cache/restore@v4
+        with:
+          path: |
+            /root/.ccache
+          key: ccache-main-${{ runner.arch }}-${{ matrix.rosdistro }}-${{ github.sha }}
+          restore-keys: |
+            ccache-main-${{ runner.arch }}-${{ matrix.rosdistro }}-
+
+      - name: Limit ccache size
+        run: |
+          rm -f "${CCACHE_DIR}/ccache.conf"
+          echo -e "# Set maximum cache size\nmax_size = 600MB" >> "${CCACHE_DIR}/ccache.conf"
+        shell: bash
+
+      - name: Show ccache stats before build
+        run: du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
       - name: Build
         if: ${{ steps.get-self-packages.outputs.self-packages != '' }}
         uses: autowarefoundation/autoware-github-actions/colcon-build@v1
@@ -45,6 +74,19 @@ jobs:
           target-packages: ${{ steps.get-self-packages.outputs.self-packages }}
           build-depends-repos: ${{ matrix.build-depends-repos }}
 
+      - name: Show ccache stats after build
+        run: du -sh ${CCACHE_DIR} && ccache -s
+        shell: bash
+
+      # Only keep save the -cuda version because cuda packages covers non-cuda packages too
+      - name: Push the ccache cache
+        if: matrix.container-suffix == '-cuda'
+        uses: actions/cache/save@v4
+        with:
+          path: |
+            /root/.ccache
+          key: ccache-main-${{ runner.arch }}-${{ matrix.rosdistro }}-${{ github.sha }}
+
       - name: Test
         if: ${{ steps.get-self-packages.outputs.self-packages != '' }}
         id: test
@@ -56,7 +98,7 @@ jobs:
 
       - name: Upload coverage to CodeCov
         if: ${{ steps.test.outputs.coverage-report-files != '' }}
-        uses: codecov/codecov-action@v3
+        uses: codecov/codecov-action@v4
         with:
           files: ${{ steps.test.outputs.coverage-report-files }}
           fail_ci_if_error: false
diff --git a/.github/workflows/cancel-previous-workflows.yaml b/.github/workflows/cancel-previous-workflows.yaml
index 1da4d24966de9..44983f7deadcb 100644
--- a/.github/workflows/cancel-previous-workflows.yaml
+++ b/.github/workflows/cancel-previous-workflows.yaml
@@ -8,7 +8,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Cancel previous runs
-        uses: styfle/cancel-workflow-action@0.12.0
+        uses: styfle/cancel-workflow-action@0.12.1
         with:
           workflow_id: all
           all_but_latest: true
diff --git a/.github/workflows/check-build-depends.yaml b/.github/workflows/check-build-depends.yaml
index c790c2132d71e..81618a1db0eea 100644
--- a/.github/workflows/check-build-depends.yaml
+++ b/.github/workflows/check-build-depends.yaml
@@ -20,7 +20,7 @@ jobs:
             build-depends-repos: build_depends.repos
     steps:
       - name: Check out repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
 
       - name: Remove exec_depend
         uses: autowarefoundation/autoware-github-actions/remove-exec-depend@v1
diff --git a/.github/workflows/clang-tidy-differential.yaml b/.github/workflows/clang-tidy-differential.yaml
index 26c5314d4b119..a59287a6d9b37 100644
--- a/.github/workflows/clang-tidy-differential.yaml
+++ b/.github/workflows/clang-tidy-differential.yaml
@@ -5,24 +5,29 @@ on:
     types:
       - opened
       - synchronize
+      - reopened
       - labeled
 
 jobs:
-  prevent-no-label-execution:
-    uses: autowarefoundation/autoware-github-actions/.github/workflows/prevent-no-label-execution.yaml@v1
+  make-sure-label-is-present:
+    uses: autowarefoundation/autoware-github-actions/.github/workflows/make-sure-label-is-present.yaml@v1
     with:
       label: tag:run-clang-tidy-differential
 
   clang-tidy-differential:
-    needs: prevent-no-label-execution
-    if: ${{ needs.prevent-no-label-execution.outputs.run == 'true' }}
+    needs: make-sure-label-is-present
+    if: ${{ needs.make-sure-label-is-present.outputs.result == 'true' }}
     runs-on: ubuntu-latest
     container: ghcr.io/autowarefoundation/autoware:latest-prebuilt-cuda
     steps:
-      - name: Check out repository
+      - name: Set PR fetch depth
+        run: echo "PR_FETCH_DEPTH=$(( ${{ github.event.pull_request.commits }} + 1 ))" >> "${GITHUB_ENV}"
+
+      - name: Checkout PR branch and all PR commits
         uses: actions/checkout@v4
         with:
-          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.sha }}
+          fetch-depth: ${{ env.PR_FETCH_DEPTH }}
 
       - name: Show disk space before the tasks
         run: df -h
@@ -36,7 +41,7 @@ jobs:
 
       - name: Get modified files
         id: get-modified-files
-        uses: tj-actions/changed-files@v35
+        uses: tj-actions/changed-files@v42
         with:
           files: |
             **/*.cpp
@@ -51,3 +56,6 @@ jobs:
           target-files: ${{ steps.get-modified-files.outputs.all_changed_files }}
           clang-tidy-config-url: https://raw.githubusercontent.com/autowarefoundation/autoware/main/.clang-tidy
           build-depends-repos: build_depends.repos
+
+      - name: Show disk space after the tasks
+        run: df -h
diff --git a/.github/workflows/clang-tidy-pr-comments-manually.yaml b/.github/workflows/clang-tidy-pr-comments-manually.yaml
index 87f939fe8b72f..9bccd972becde 100644
--- a/.github/workflows/clang-tidy-pr-comments-manually.yaml
+++ b/.github/workflows/clang-tidy-pr-comments-manually.yaml
@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
 
       - name: Download analysis results
         run: |
@@ -36,7 +36,7 @@ jobs:
 
       - name: Check out PR head
         if: ${{ steps.check-fixes-yaml-existence.outputs.exists == 'true' }}
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
         with:
           repository: ${{ steps.set-variables.outputs.pr-head-repo }}
           ref: ${{ steps.set-variables.outputs.pr-head-ref }}
diff --git a/.github/workflows/clang-tidy-pr-comments.yaml b/.github/workflows/clang-tidy-pr-comments.yaml
index 0f6db69dfedd4..baaa0fb8e7744 100644
--- a/.github/workflows/clang-tidy-pr-comments.yaml
+++ b/.github/workflows/clang-tidy-pr-comments.yaml
@@ -13,7 +13,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
 
       - name: Download analysis results
         run: |
@@ -37,7 +37,7 @@ jobs:
 
       - name: Check out PR head
         if: ${{ steps.check-fixes-yaml-existence.outputs.exists == 'true' }}
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
         with:
           repository: ${{ steps.set-variables.outputs.pr-head-repo }}
           ref: ${{ steps.set-variables.outputs.pr-head-ref }}
diff --git a/.github/workflows/delete-closed-pr-docs.yaml b/.github/workflows/delete-closed-pr-docs.yaml
index eb211766c49dd..b7b009fb00263 100644
--- a/.github/workflows/delete-closed-pr-docs.yaml
+++ b/.github/workflows/delete-closed-pr-docs.yaml
@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
         with:
           fetch-depth: 0
 
diff --git a/.github/workflows/deploy-docs.yaml b/.github/workflows/deploy-docs.yaml
index e5967b0d50c67..b48d70dbacb0c 100644
--- a/.github/workflows/deploy-docs.yaml
+++ b/.github/workflows/deploy-docs.yaml
@@ -30,7 +30,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v3
         with:
           fetch-depth: 0
           ref: ${{ github.event.pull_request.head.sha }}
diff --git a/.github/workflows/pre-commit-autoupdate.yaml b/.github/workflows/pre-commit-autoupdate.yaml
new file mode 100644
index 0000000000000..23b403f2a52af
--- /dev/null
+++ b/.github/workflows/pre-commit-autoupdate.yaml
@@ -0,0 +1,37 @@
+name: pre-commit-autoupdate
+
+on:
+  schedule:
+    - cron: 0 0 * * *
+  workflow_dispatch:
+
+jobs:
+  check-secret:
+    uses: autowarefoundation/autoware-github-actions/.github/workflows/check-secret.yaml@v1
+    secrets:
+      secret: ${{ secrets.APP_ID }}
+
+  pre-commit-autoupdate:
+    needs: check-secret
+    if: ${{ needs.check-secret.outputs.set == 'true' }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Generate token
+        id: generate-token
+        uses: tibdex/github-app-token@v2
+        with:
+          app_id: ${{ secrets.APP_ID }}
+          private_key: ${{ secrets.PRIVATE_KEY }}
+
+      - name: Run pre-commit-autoupdate
+        uses: autowarefoundation/autoware-github-actions/pre-commit-autoupdate@v1
+        with:
+          token: ${{ steps.generate-token.outputs.token }}
+          pre-commit-config: .pre-commit-config.yaml
+          pr-labels: |
+            tag:bot
+            tag:pre-commit-autoupdate
+          pr-branch: pre-commit-autoupdate
+          pr-title: "ci(pre-commit): autoupdate"
+          pr-commit-message: "ci(pre-commit): autoupdate"
+          auto-merge-method: squash
diff --git a/.github/workflows/pre-commit.yaml b/.github/workflows/pre-commit.yaml
index 33c00ee1066ae..c724885fcb3e4 100644
--- a/.github/workflows/pre-commit.yaml
+++ b/.github/workflows/pre-commit.yaml
@@ -10,7 +10,7 @@ jobs:
     steps:
       - name: Generate token
         id: generate-token
-        uses: tibdex/github-app-token@v1
+        uses: tibdex/github-app-token@v2
         with:
           app_id: ${{ secrets.APP_ID }}
           private_key: ${{ secrets.PRIVATE_KEY }}
diff --git a/.github/workflows/spell-check-partial.yaml b/.github/workflows/spell-check-daily.yaml
similarity index 88%
rename from .github/workflows/spell-check-partial.yaml
rename to .github/workflows/spell-check-daily.yaml
index cf5eaa71e5741..dcee449abc728 100644
--- a/.github/workflows/spell-check-partial.yaml
+++ b/.github/workflows/spell-check-daily.yaml
@@ -1,13 +1,12 @@
-name: spell-check-partial
+name: spell-check-daily
 
 on:
-  pull_request:
   schedule:
     - cron: 0 0 * * *
   workflow_dispatch:
 
 jobs:
-  spell-check-partial:
+  spell-check-daily:
     runs-on: ubuntu-latest
     steps:
       - name: Check out repository
@@ -16,6 +15,6 @@ jobs:
       - name: Run spell-check
         uses: autowarefoundation/autoware-github-actions/spell-check@v1
         with:
-          cspell-json-url: https://raw.githubusercontent.com/tier4/autoware-spell-check-dict/main/.cspell.json
           local-cspell-json: .cspell.json
           incremental-files-only: false
+          cspell-json-url: https://raw.githubusercontent.com/tier4/autoware-spell-check-dict/main/.cspell.json
diff --git a/.github/workflows/spell-check-differential.yaml b/.github/workflows/spell-check-differential.yaml
new file mode 100644
index 0000000000000..ee9d451ba9b9e
--- /dev/null
+++ b/.github/workflows/spell-check-differential.yaml
@@ -0,0 +1,17 @@
+name: spell-check-differential
+
+on:
+  pull_request:
+
+jobs:
+  spell-check-differential:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+
+      - name: Run spell-check
+        uses: autowarefoundation/autoware-github-actions/spell-check@v1
+        with:
+          local-cspell-json: .cspell.json
+          cspell-json-url: https://raw.githubusercontent.com/tier4/autoware-spell-check-dict/main/.cspell.json
diff --git a/.github/workflows/sync-files.yaml b/.github/workflows/sync-files.yaml
index 5025e6c8bd7a7..51e523b8031bf 100644
--- a/.github/workflows/sync-files.yaml
+++ b/.github/workflows/sync-files.yaml
@@ -18,7 +18,7 @@ jobs:
     steps:
       - name: Generate token
         id: generate-token
-        uses: tibdex/github-app-token@v1
+        uses: tibdex/github-app-token@v2
         with:
           app_id: ${{ secrets.APP_ID }}
           private_key: ${{ secrets.PRIVATE_KEY }}
diff --git a/.github/workflows/update-codeowners-from-packages.yaml b/.github/workflows/update-codeowners-from-packages.yaml
index 7898dfe09177a..8b3d2407fbc75 100644
--- a/.github/workflows/update-codeowners-from-packages.yaml
+++ b/.github/workflows/update-codeowners-from-packages.yaml
@@ -18,7 +18,7 @@ jobs:
     steps:
       - name: Generate token
         id: generate-token
-        uses: tibdex/github-app-token@v1
+        uses: tibdex/github-app-token@v2
         with:
           app_id: ${{ secrets.APP_ID }}
           private_key: ${{ secrets.PRIVATE_KEY }}
diff --git a/.gitignore b/.gitignore
index 5ce2c268169c8..757d2d8a09bed 100644
--- a/.gitignore
+++ b/.gitignore
@@ -13,3 +13,6 @@ log/
 
 # Python
 *.pyc
+
+#prettier
+node_modules/
diff --git a/.markdownlint.yaml b/.markdownlint.yaml
index babaaa1f1586d..7b7359fe0cdc4 100644
--- a/.markdownlint.yaml
+++ b/.markdownlint.yaml
@@ -7,5 +7,6 @@ MD029:
   style: ordered
 MD033: false
 MD041: false
+MD045: false
 MD046: false
 MD049: false
diff --git a/.pre-commit-config-optional.yaml b/.pre-commit-config-optional.yaml
index 3b43f9ae1139d..8c9345e15f064 100644
--- a/.pre-commit-config-optional.yaml
+++ b/.pre-commit-config-optional.yaml
@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/tcort/markdown-link-check
-    rev: v3.11.2
+    rev: v3.12.2
     hooks:
       - id: markdown-link-check
         args: [--quiet, --config=.markdown-link-check.json]
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a5ca7b6cf37fa..823ff516c1dc7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -3,7 +3,7 @@ ci:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.6.0
     hooks:
       - id: check-json
       - id: check-merge-conflict
@@ -18,18 +18,18 @@ repos:
         args: [--markdown-linebreak-ext=md]
 
   - repo: https://github.com/igorshubovych/markdownlint-cli
-    rev: v0.33.0
+    rev: v0.41.0
     hooks:
       - id: markdownlint
         args: [-c, .markdownlint.yaml, --fix]
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.0.0-alpha.6
+    rev: v4.0.0-alpha.8
     hooks:
       - id: prettier
 
   - repo: https://github.com/adrienverge/yamllint
-    rev: v1.30.0
+    rev: v1.35.1
     hooks:
       - id: yamllint
 
@@ -44,29 +44,29 @@ repos:
       - id: sort-package-xml
 
   - repo: https://github.com/shellcheck-py/shellcheck-py
-    rev: v0.9.0.2
+    rev: v0.10.0.1
     hooks:
       - id: shellcheck
 
   - repo: https://github.com/scop/pre-commit-shfmt
-    rev: v3.6.0-2
+    rev: v3.8.0-1
     hooks:
       - id: shfmt
         args: [-w, -s, -i=4]
 
   - repo: https://github.com/pycqa/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
 
   - repo: https://github.com/psf/black
-    rev: 23.3.0
+    rev: 24.4.2
     hooks:
       - id: black
         args: [--line-length=100]
 
   - repo: https://github.com/pre-commit/mirrors-clang-format
-    rev: v16.0.0
+    rev: v18.1.6
     hooks:
       - id: clang-format
         types_or: [c++, c, cuda]
@@ -79,7 +79,7 @@ repos:
         exclude: .cu
 
   - repo: https://github.com/python-jsonschema/check-jsonschema
-    rev: 0.23.2
+    rev: 0.28.5
     hooks:
       - id: check-metaschema
         files: ^.+/schema/.*schema\.json$
diff --git a/common/.pages b/common/.pages
index 7d17018e2762b..7a87ae2711e10 100644
--- a/common/.pages
+++ b/common/.pages
@@ -7,16 +7,16 @@ nav:
   - 'Common Libraries':
     - 'autoware_auto_common':
       - 'comparisons': common/autoware_auto_common/design/comparisons
+    - 'autoware_grid_map_utils': common/autoware_grid_map_utils
     - 'autoware_point_types': common/autoware_point_types
     - 'Cuda Utils': common/cuda_utils
     - 'Geography Utils': common/geography_utils
     - 'Global Parameter Loader': common/global_parameter_loader/Readme
     - 'Glog Component': common/glog_component
-    - 'grid_map_utils': common/grid_map_utils
     - 'interpolation': common/interpolation
     - 'Kalman Filter': common/kalman_filter
-    - 'Motion Utils': common/motion_utils
-    - 'Vehicle Utils': common/motion_utils/docs/vehicle/vehicle
+    - 'Motion Utils': common/autoware_motion_utils
+    - 'Vehicle Utils': common/autoware_motion_utils/docs/vehicle/vehicle
     - 'Object Recognition Utils': common/object_recognition_utils
     - 'OSQP Interface': common/osqp_interface/design/osqp_interface-design
     - 'Perception Utils': common/perception_utils
@@ -25,7 +25,7 @@ nav:
       - 'Introduction': common/signal_processing
       - 'Butterworth Filter': common/signal_processing/documentation/ButterworthFilter
     - 'TensorRT Common': common/tensorrt_common
-    - 'tier4_autoware_utils': common/tier4_autoware_utils
+    - 'autoware_universe_utils': common/autoware_universe_utils
     - 'traffic_light_utils': common/traffic_light_utils
     - 'TVM Utility':
       - 'Introduction': common/tvm_utility
diff --git a/common/README.md b/common/README.md
index 95b8973a66b2b..05f85de61286e 100644
--- a/common/README.md
+++ b/common/README.md
@@ -12,5 +12,5 @@ The Autoware.Universe Common folder consists of common and testing libraries tha
 
 Some of the commonly used libraries are:
 
-1. `tier4_autoware_utils`
-2. `motion_utils`
+1. `autoware_universe_utils`
+2. `autoware_motion_utils`
diff --git a/common/grid_map_utils/CMakeLists.txt b/common/autoware_grid_map_utils/CMakeLists.txt
similarity index 96%
rename from common/grid_map_utils/CMakeLists.txt
rename to common/autoware_grid_map_utils/CMakeLists.txt
index 0fbb34e94e688..677b59a93a514 100644
--- a/common/grid_map_utils/CMakeLists.txt
+++ b/common/autoware_grid_map_utils/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.5)
-project(grid_map_utils)
+project(autoware_grid_map_utils)
 
 if(NOT CMAKE_CXX_STANDARD)
   set(CMAKE_CXX_STANDARD 17)
diff --git a/common/grid_map_utils/README.md b/common/autoware_grid_map_utils/README.md
similarity index 76%
rename from common/grid_map_utils/README.md
rename to common/autoware_grid_map_utils/README.md
index f3c6ae5d879be..34adfe230cf78 100644
--- a/common/grid_map_utils/README.md
+++ b/common/autoware_grid_map_utils/README.md
@@ -19,18 +19,18 @@ More details on the scan line algorithm can be found in the References.
 
 ## API
 
-The `grid_map_utils::PolygonIterator` follows the same API as the original [`grid_map::PolygonIterator`](https://docs.ros.org/en/kinetic/api/grid_map_core/html/classgrid__map_1_1PolygonIterator.html).
+The `autoware::grid_map_utils::PolygonIterator` follows the same API as the original [`grid_map::PolygonIterator`](https://docs.ros.org/en/kinetic/api/grid_map_core/html/classgrid__map_1_1PolygonIterator.html).
 
 ## Assumptions
 
-The behavior of the `grid_map_utils::PolygonIterator` is only guaranteed to match the `grid_map::PolygonIterator` if edges of the polygon do not _exactly_ cross any cell center.
+The behavior of the `autoware::grid_map_utils::PolygonIterator` is only guaranteed to match the `grid_map::PolygonIterator` if edges of the polygon do not _exactly_ cross any cell center.
 In such a case, whether the crossed cell is considered inside or outside of the polygon can vary due to floating precision error.
 
 ## Performances
 
-Benchmarking code is implemented in `test/benchmarking.cpp` and is also used to validate that the `grid_map_utils::PolygonIterator` behaves exactly like the `grid_map::PolygonIterator`.
+Benchmarking code is implemented in `test/benchmarking.cpp` and is also used to validate that the `autoware::grid_map_utils::PolygonIterator` behaves exactly like the `grid_map::PolygonIterator`.
 
-The following figure shows a comparison of the runtime between the implementation of this package (`grid_map_utils`) and the original implementation (`grid_map`).
+The following figure shows a comparison of the runtime between the implementation of this package (`autoware_grid_map_utils`) and the original implementation (`grid_map`).
 The time measured includes the construction of the iterator and the iteration over all indexes and is shown using a logarithmic scale.
 Results were obtained varying the side size of a square grid map with `100 <= n <= 1000` (size=`n` means a grid of `n x n` cells),
 random polygons with a number of vertices `3 <= m <= 100` and with each parameter `(n,m)` repeated 10 times.
diff --git a/common/grid_map_utils/include/grid_map_utils/polygon_iterator.hpp b/common/autoware_grid_map_utils/include/autoware_grid_map_utils/polygon_iterator.hpp
similarity index 95%
rename from common/grid_map_utils/include/grid_map_utils/polygon_iterator.hpp
rename to common/autoware_grid_map_utils/include/autoware_grid_map_utils/polygon_iterator.hpp
index 4f2e149a50f72..9bb82e7be50ea 100644
--- a/common/grid_map_utils/include/grid_map_utils/polygon_iterator.hpp
+++ b/common/autoware_grid_map_utils/include/autoware_grid_map_utils/polygon_iterator.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
-#define GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
+#ifndef AUTOWARE_GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
+#define AUTOWARE_GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
 
 #include "grid_map_core/TypeDefs.hpp"
 
@@ -24,7 +24,7 @@
 #include <utility>
 #include <vector>
 
-namespace grid_map_utils
+namespace autoware::grid_map_utils
 {
 
 /// @brief Representation of a polygon edge made of 2 vertices
@@ -124,6 +124,6 @@ class PolygonIterator
   int current_col_;
   int current_to_col_;
 };
-}  // namespace grid_map_utils
+}  // namespace autoware::grid_map_utils
 
-#endif  // GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
+#endif  // AUTOWARE_GRID_MAP_UTILS__POLYGON_ITERATOR_HPP_
diff --git a/common/grid_map_utils/media/runtime_comparison.png b/common/autoware_grid_map_utils/media/runtime_comparison.png
similarity index 100%
rename from common/grid_map_utils/media/runtime_comparison.png
rename to common/autoware_grid_map_utils/media/runtime_comparison.png
diff --git a/common/grid_map_utils/package.xml b/common/autoware_grid_map_utils/package.xml
similarity index 90%
rename from common/grid_map_utils/package.xml
rename to common/autoware_grid_map_utils/package.xml
index 6e63271d56750..d8344b08f2341 100644
--- a/common/grid_map_utils/package.xml
+++ b/common/autoware_grid_map_utils/package.xml
@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>grid_map_utils</name>
+  <name>autoware_grid_map_utils</name>
   <version>0.0.0</version>
   <description>Utilities for the grid_map library</description>
   <maintainer email="maxime.clement@tier4.jp">Maxime CLEMENT</maintainer>
@@ -10,10 +10,10 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>grid_map_core</depend>
   <depend>grid_map_cv</depend>
   <depend>libopencv-dev</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/grid_map_utils/src/polygon_iterator.cpp b/common/autoware_grid_map_utils/src/polygon_iterator.cpp
similarity index 98%
rename from common/grid_map_utils/src/polygon_iterator.cpp
rename to common/autoware_grid_map_utils/src/polygon_iterator.cpp
index d2a738a971263..1360ad6e6c255 100644
--- a/common/grid_map_utils/src/polygon_iterator.cpp
+++ b/common/autoware_grid_map_utils/src/polygon_iterator.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "grid_map_utils/polygon_iterator.hpp"
+#include "autoware_grid_map_utils/polygon_iterator.hpp"
 
 #include "grid_map_core/GridMap.hpp"
 #include "grid_map_core/Polygon.hpp"
@@ -22,7 +22,7 @@
 #include <functional>
 #include <utility>
 
-namespace grid_map_utils
+namespace autoware::grid_map_utils
 {
 
 std::vector<Edge> PolygonIterator::calculateSortedEdges(const grid_map::Polygon & polygon)
@@ -214,4 +214,4 @@ PolygonIterator & PolygonIterator::operator++()
 {
   return current_line_ >= intersections_per_line_.size();
 }
-}  // namespace grid_map_utils
+}  // namespace autoware::grid_map_utils
diff --git a/common/grid_map_utils/test/benchmark.cpp b/common/autoware_grid_map_utils/test/benchmark.cpp
similarity index 94%
rename from common/grid_map_utils/test/benchmark.cpp
rename to common/autoware_grid_map_utils/test/benchmark.cpp
index c8e352ce5d185..a63ed9985fef1 100644
--- a/common/grid_map_utils/test/benchmark.cpp
+++ b/common/autoware_grid_map_utils/test/benchmark.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware_grid_map_utils/polygon_iterator.hpp"
 #include "grid_map_core/TypeDefs.hpp"
 #include "grid_map_cv/GridMapCvConverter.hpp"
 #include "grid_map_cv/GridMapCvProcessing.hpp"
-#include "grid_map_utils/polygon_iterator.hpp"
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <grid_map_core/iterators/PolygonIterator.hpp>
 #include <grid_map_cv/grid_map_cv.hpp>
 #include <opencv2/core.hpp>
 #include <opencv2/highgui.hpp>
 #include <opencv2/imgproc.hpp>
 #include <opencv2/opencv.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <algorithm>
 #include <fstream>
@@ -46,7 +46,7 @@ int main(int argc, char * argv[])
   result_file
     << "#Size PolygonVertices PolygonIndexes grid_map_utils_constructor grid_map_utils_iteration "
        "grid_map_constructor grid_map_iteration\n";
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stopwatch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stopwatch;
 
   constexpr auto nb_iterations = 10;
   constexpr auto polygon_side_vertices =
@@ -116,7 +116,7 @@ int main(int argc, char * argv[])
           polygon.addVertex(base_polygon.getVertex(idx) + offset);
         }
         stopwatch.tic("gmu_ctor");
-        grid_map_utils::PolygonIterator grid_map_utils_iterator(map, polygon);
+        autoware::grid_map_utils::PolygonIterator grid_map_utils_iterator(map, polygon);
         grid_map_utils_constructor_duration += stopwatch.toc("gmu_ctor");
         stopwatch.tic("gm_ctor");
         grid_map::PolygonIterator grid_map_iterator(map, polygon);
@@ -143,8 +143,8 @@ int main(int argc, char * argv[])
         if (diff || visualize) {
           // Prepare images of the cells selected by the two PolygonIterators
           auto gridmap = map;
-          for (grid_map_utils::PolygonIterator iterator(map, polygon); !iterator.isPastEnd();
-               ++iterator)
+          for (autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
+               !iterator.isPastEnd(); ++iterator)
             map.at("layer", *iterator) = 100;
           for (grid_map::PolygonIterator iterator(gridmap, polygon); !iterator.isPastEnd();
                ++iterator)
diff --git a/common/grid_map_utils/test/test_polygon_iterator.cpp b/common/autoware_grid_map_utils/test/test_polygon_iterator.cpp
similarity index 92%
rename from common/grid_map_utils/test/test_polygon_iterator.cpp
rename to common/autoware_grid_map_utils/test/test_polygon_iterator.cpp
index f39d080d7cad5..1646586853800 100644
--- a/common/grid_map_utils/test/test_polygon_iterator.cpp
+++ b/common/autoware_grid_map_utils/test/test_polygon_iterator.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "grid_map_utils/polygon_iterator.hpp"
+#include "autoware_grid_map_utils/polygon_iterator.hpp"
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <grid_map_core/iterators/PolygonIterator.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 // gtest
 #include <gtest/gtest.h>
@@ -45,7 +45,7 @@ TEST(PolygonIterator, FullCover)
   polygon.addVertex(Position(100.0, -100.0));
   polygon.addVertex(Position(-100.0, -100.0));
 
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
 
   EXPECT_FALSE(iterator.isPastEnd());
   EXPECT_EQ(0, (*iterator)(0));
@@ -83,7 +83,7 @@ TEST(PolygonIterator, Outside)
   polygon.addVertex(Position(101.0, 99.0));
   polygon.addVertex(Position(99.0, 99.0));
 
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
 
   EXPECT_TRUE(iterator.isPastEnd());
 }
@@ -100,7 +100,7 @@ TEST(PolygonIterator, Square)
   polygon.addVertex(Position(1.0, -1.5));
   polygon.addVertex(Position(-1.0, -1.5));
 
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
 
   EXPECT_FALSE(iterator.isPastEnd());
   EXPECT_EQ(3, (*iterator)(0));
@@ -146,7 +146,7 @@ TEST(PolygonIterator, TopLeftTriangle)
   polygon.addVertex(Position(40.1, 20.4));
   polygon.addVertex(Position(-40.1, -20.6));
 
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
 
   EXPECT_FALSE(iterator.isPastEnd());
   EXPECT_EQ(0, (*iterator)(0));
@@ -170,7 +170,7 @@ TEST(PolygonIterator, MoveMap)
   polygon.addVertex(Position(0.9, 1.6));
   polygon.addVertex(Position(0.9, -1.6));
   polygon.addVertex(Position(6.1, -1.6));
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
 
   EXPECT_FALSE(iterator.isPastEnd());
   EXPECT_EQ(6, (*iterator)(0));
@@ -213,7 +213,7 @@ TEST(PolygonIterator, Difference)
   polygon.addVertex(Position(2.5, 2.5));
   polygon.addVertex(Position(-2.5, 2.5));
   polygon.addVertex(Position(-2.5, -2.5));
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
   grid_map::PolygonIterator gm_iterator(map, polygon);
   bool diff = false;
   while (!iterator.isPastEnd() && !gm_iterator.isPastEnd()) {
@@ -231,7 +231,7 @@ TEST(PolygonIterator, Difference)
   polygon.addVertex(Position(2.5, 2.1));
   polygon.addVertex(Position(-2.5, 2.5));
   polygon.addVertex(Position(-2.5, -2.9));
-  iterator = grid_map_utils::PolygonIterator(map, polygon);
+  iterator = autoware::grid_map_utils::PolygonIterator(map, polygon);
   gm_iterator = grid_map::PolygonIterator(map, polygon);
   diff = false;
   while (!iterator.isPastEnd() && !gm_iterator.isPastEnd()) {
@@ -256,7 +256,7 @@ TEST(PolygonIterator, SelfCrossingPolygon)
   polygon.addVertex(Position(2.5, -2.9));
   polygon.addVertex(Position(-2.5, 2.5));
   polygon.addVertex(Position(-2.5, -2.5));
-  grid_map_utils::PolygonIterator iterator(map, polygon);
+  autoware::grid_map_utils::PolygonIterator iterator(map, polygon);
   grid_map::PolygonIterator gm_iterator(map, polygon);
 
   const std::vector<Index> expected_indexes = {
diff --git a/common/motion_utils/CMakeLists.txt b/common/autoware_motion_utils/CMakeLists.txt
similarity index 55%
rename from common/motion_utils/CMakeLists.txt
rename to common/autoware_motion_utils/CMakeLists.txt
index cd81f16685d72..4c36ef2f4e70d 100644
--- a/common/motion_utils/CMakeLists.txt
+++ b/common/autoware_motion_utils/CMakeLists.txt
@@ -1,12 +1,12 @@
 cmake_minimum_required(VERSION 3.14)
-project(motion_utils)
+project(autoware_motion_utils)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
 
 find_package(Boost REQUIRED)
 
-ament_auto_add_library(motion_utils SHARED
+ament_auto_add_library(autoware_motion_utils SHARED
   DIRECTORY src
 )
 
@@ -15,10 +15,10 @@ if(BUILD_TESTING)
 
   file(GLOB_RECURSE test_files test/**/*.cpp)
 
-  ament_add_ros_isolated_gtest(test_motion_utils ${test_files})
+  ament_add_ros_isolated_gtest(test_autoware_motion_utils ${test_files})
 
-  target_link_libraries(test_motion_utils
-    motion_utils
+  target_link_libraries(test_autoware_motion_utils
+    autoware_motion_utils
   )
 endif()
 
diff --git a/common/motion_utils/README.md b/common/autoware_motion_utils/README.md
similarity index 97%
rename from common/motion_utils/README.md
rename to common/autoware_motion_utils/README.md
index fd18540a9d0cf..df4808a6f68d7 100644
--- a/common/motion_utils/README.md
+++ b/common/autoware_motion_utils/README.md
@@ -114,4 +114,4 @@ const double length_from_ego_to_obj = calcSignedArcLength(points, ego_pose, ego_
 
 Some of the template functions in `trajectory.hpp` are mostly used for specific types (`autoware_planning_msgs::msg::PathPoint`, `autoware_planning_msgs::msg::PathPoint`, `autoware_planning_msgs::msg::TrajectoryPoint`), so they are exported as `extern template` functions to speed-up compilation time.
 
-`motion_utils.hpp` header file was removed because the source files that directly/indirectly include this file took a long time for preprocessing.
+`autoware_motion_utils.hpp` header file was removed because the source files that directly/indirectly include this file took a long time for preprocessing.
diff --git a/common/motion_utils/docs/vehicle/vehicle.md b/common/autoware_motion_utils/docs/vehicle/vehicle.md
similarity index 96%
rename from common/motion_utils/docs/vehicle/vehicle.md
rename to common/autoware_motion_utils/docs/vehicle/vehicle.md
index c768e6115731c..32cbf6be28dcc 100644
--- a/common/motion_utils/docs/vehicle/vehicle.md
+++ b/common/autoware_motion_utils/docs/vehicle/vehicle.md
@@ -36,7 +36,7 @@ bool isVehicleStopped(const double stop_duration)
 Necessary includes:
 
 ```c++
-#include <tier4_autoware_utils/vehicle/vehicle_state_checker.hpp>
+#include <autoware/universe_utils/vehicle/vehicle_state_checker.hpp>
 ```
 
 1.Create a checker instance.
@@ -116,7 +116,7 @@ bool isVehicleStoppedAtStopPoint(const double stop_duration)
 Necessary includes:
 
 ```c++
-#include <tier4_autoware_utils/vehicle/vehicle_state_checker.hpp>
+#include <autoware/universe_utils/vehicle/vehicle_state_checker.hpp>
 ```
 
 1.Create a checker instance.
diff --git a/common/motion_utils/include/motion_utils/constants.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/constants.hpp
similarity index 74%
rename from common/motion_utils/include/motion_utils/constants.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/constants.hpp
index 63a3439a34b8a..9c1f7c876e73e 100644
--- a/common/motion_utils/include/motion_utils/constants.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/constants.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__CONSTANTS_HPP_
-#define MOTION_UTILS__CONSTANTS_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__CONSTANTS_HPP_
+#define AUTOWARE__MOTION_UTILS__CONSTANTS_HPP_
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 constexpr double overlap_threshold = 0.1;
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__CONSTANTS_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__CONSTANTS_HPP_
diff --git a/common/motion_utils/include/motion_utils/distance/distance.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/distance/distance.hpp
similarity index 79%
rename from common/motion_utils/include/motion_utils/distance/distance.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/distance/distance.hpp
index 0a0d00fc9f260..308528954eccc 100644
--- a/common/motion_utils/include/motion_utils/distance/distance.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/distance/distance.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__DISTANCE__DISTANCE_HPP_
-#define MOTION_UTILS__DISTANCE__DISTANCE_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__DISTANCE__DISTANCE_HPP_
+#define AUTOWARE__MOTION_UTILS__DISTANCE__DISTANCE_HPP_
 
 #include <algorithm>
 #include <cmath>
@@ -22,12 +22,12 @@
 #include <tuple>
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 std::optional<double> calcDecelDistWithJerkAndAccConstraints(
   const double current_vel, const double target_vel, const double current_acc, const double acc_min,
   const double jerk_acc, const double jerk_dec);
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__DISTANCE__DISTANCE_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__DISTANCE__DISTANCE_HPP_
diff --git a/common/motion_utils/include/motion_utils/factor/velocity_factor_interface.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/factor/velocity_factor_interface.hpp
similarity index 85%
rename from common/motion_utils/include/motion_utils/factor/velocity_factor_interface.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/factor/velocity_factor_interface.hpp
index 077c66f9dd6bc..30eca6927db34 100644
--- a/common/motion_utils/include/motion_utils/factor/velocity_factor_interface.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/factor/velocity_factor_interface.hpp
@@ -13,8 +13,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
-#define MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
+#define AUTOWARE__MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
 
 #include <autoware_adapi_v1_msgs/msg/planning_behavior.hpp>
 #include <autoware_adapi_v1_msgs/msg/velocity_factor.hpp>
@@ -24,7 +24,7 @@
 #include <string>
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 using autoware_adapi_v1_msgs::msg::PlanningBehavior;
 using autoware_adapi_v1_msgs::msg::VelocityFactor;
@@ -49,6 +49,6 @@ class VelocityFactorInterface
   VelocityFactor velocity_factor_{};
 };
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__FACTOR__VELOCITY_FACTOR_INTERFACE_HPP_
diff --git a/common/motion_utils/include/motion_utils/marker/marker_helper.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/marker/marker_helper.hpp
similarity index 88%
rename from common/motion_utils/include/motion_utils/marker/marker_helper.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/marker/marker_helper.hpp
index 0604eee65372a..4679e3d9aba91 100644
--- a/common/motion_utils/include/motion_utils/marker/marker_helper.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/marker/marker_helper.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
-#define MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
+#define AUTOWARE__MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
 
 #include <rclcpp/time.hpp>
 
@@ -21,7 +21,7 @@
 
 #include <string>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 using geometry_msgs::msg::Pose;
 
@@ -48,6 +48,6 @@ visualization_msgs::msg::MarkerArray createDeletedSlowDownVirtualWallMarker(
 
 visualization_msgs::msg::MarkerArray createDeletedDeadLineVirtualWallMarker(
   const rclcpp::Time & now, const int32_t id);
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__MARKER__MARKER_HELPER_HPP_
diff --git a/common/motion_utils/include/motion_utils/marker/virtual_wall_marker_creator.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/marker/virtual_wall_marker_creator.hpp
similarity index 89%
rename from common/motion_utils/include/motion_utils/marker/virtual_wall_marker_creator.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/marker/virtual_wall_marker_creator.hpp
index be5a70ed7ffc9..07fcbd9840c88 100644
--- a/common/motion_utils/include/motion_utils/marker/virtual_wall_marker_creator.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/marker/virtual_wall_marker_creator.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
-#define MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
+#define AUTOWARE__MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
 
 #include <rclcpp/time.hpp>
 
@@ -25,7 +25,7 @@
 #include <unordered_map>
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 
 /// @brief type of virtual wall associated with different marker styles and namespace
@@ -76,6 +76,6 @@ class VirtualWallMarkerCreator
   /// @param now current time to be used for displaying the markers
   visualization_msgs::msg::MarkerArray create_markers(const rclcpp::Time & now = rclcpp::Time());
 };
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__MARKER__VIRTUAL_WALL_MARKER_CREATOR_HPP_
diff --git a/common/motion_utils/include/motion_utils/resample/resample.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/resample/resample.hpp
similarity index 98%
rename from common/motion_utils/include/motion_utils/resample/resample.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/resample/resample.hpp
index 91322360ce5b8..19328179932c4 100644
--- a/common/motion_utils/include/motion_utils/resample/resample.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/resample/resample.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
-#define MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
+#define AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
 
 #include "autoware_planning_msgs/msg/path.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -21,7 +21,7 @@
 
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 /**
  * @brief A resampling function for a path(points). Note that in a default setting, position xy are
@@ -234,6 +234,6 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
   const bool use_akima_spline_for_xy = false, const bool use_lerp_for_z = true,
   const bool use_zero_order_hold_for_twist = true,
   const bool resample_input_trajectory_stop_point = true);
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_HPP_
diff --git a/common/motion_utils/include/motion_utils/resample/resample_utils.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/resample/resample_utils.hpp
similarity index 69%
rename from common/motion_utils/include/motion_utils/resample/resample_utils.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/resample/resample_utils.hpp
index fb151ec56b085..5d622c54da452 100644
--- a/common/motion_utils/include/motion_utils/resample/resample_utils.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/resample/resample_utils.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
-#define MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
+#define AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
 
-#include "tier4_autoware_utils/system/backtrace.hpp"
+#include "autoware/universe_utils/system/backtrace.hpp"
 
-#include <motion_utils/constants.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/constants.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <vector>
 
@@ -29,7 +29,7 @@ constexpr double close_s_threshold = 1e-6;
 
 static inline rclcpp::Logger get_logger()
 {
-  constexpr const char * logger{"motion_utils.resample_utils"};
+  constexpr const char * logger{"autoware_motion_utils.resample_utils"};
   return rclcpp::get_logger(logger);
 }
 
@@ -42,7 +42,7 @@ bool validate_size(const T & points)
 template <class T>
 bool validate_resampling_range(const T & points, const std::vector<double> & resampling_intervals)
 {
-  const double points_length = motion_utils::calcArcLength(points);
+  const double points_length = autoware::motion_utils::calcArcLength(points);
   return points_length >= resampling_intervals.back();
 }
 
@@ -50,9 +50,9 @@ template <class T>
 bool validate_points_duplication(const T & points)
 {
   for (size_t i = 0; i < points.size() - 1; ++i) {
-    const auto & curr_pt = tier4_autoware_utils::getPoint(points.at(i));
-    const auto & next_pt = tier4_autoware_utils::getPoint(points.at(i + 1));
-    const double ds = tier4_autoware_utils::calcDistance2d(curr_pt, next_pt);
+    const auto & curr_pt = autoware::universe_utils::getPoint(points.at(i));
+    const auto & next_pt = autoware::universe_utils::getPoint(points.at(i + 1));
+    const double ds = autoware::universe_utils::calcDistance2d(curr_pt, next_pt);
     if (ds < close_s_threshold) {
       return false;
     }
@@ -67,27 +67,27 @@ bool validate_arguments(const T & input_points, const std::vector<double> & resa
   // Check size of the arguments
   if (!validate_size(input_points)) {
     RCLCPP_DEBUG(get_logger(), "invalid argument: The number of input points is less than 2");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
   if (!validate_size(resampling_intervals)) {
     RCLCPP_DEBUG(
       get_logger(), "invalid argument: The number of resampling intervals is less than 2");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
   // Check resampling range
   if (!validate_resampling_range(input_points, resampling_intervals)) {
     RCLCPP_DEBUG(get_logger(), "invalid argument: resampling interval is longer than input points");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
   // Check duplication
   if (!validate_points_duplication(input_points)) {
     RCLCPP_DEBUG(get_logger(), "invalid argument: input points has some duplicated points");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
@@ -100,23 +100,23 @@ bool validate_arguments(const T & input_points, const double resampling_interval
   // Check size of the arguments
   if (!validate_size(input_points)) {
     RCLCPP_DEBUG(get_logger(), "invalid argument: The number of input points is less than 2");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
   // check resampling interval
-  if (resampling_interval < motion_utils::overlap_threshold) {
+  if (resampling_interval < autoware::motion_utils::overlap_threshold) {
     RCLCPP_DEBUG(
       get_logger(), "invalid argument: resampling interval is less than %f",
-      motion_utils::overlap_threshold);
-    tier4_autoware_utils::print_backtrace();
+      autoware::motion_utils::overlap_threshold);
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
   // Check duplication
   if (!validate_points_duplication(input_points)) {
     RCLCPP_DEBUG(get_logger(), "invalid argument: input points has some duplicated points");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     return false;
   }
 
@@ -124,4 +124,4 @@ bool validate_arguments(const T & input_points, const double resampling_interval
 }
 }  // namespace resample_utils
 
-#endif  // MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__RESAMPLE__RESAMPLE_UTILS_HPP_
diff --git a/common/motion_utils/include/motion_utils/trajectory/conversion.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/conversion.hpp
similarity index 94%
rename from common/motion_utils/include/motion_utils/trajectory/conversion.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/trajectory/conversion.hpp
index 8d009730a925d..d4f88c17c4d70 100644
--- a/common/motion_utils/include/motion_utils/trajectory/conversion.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/conversion.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
-#define MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
+#define AUTOWARE__MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
 
 #include "autoware_planning_msgs/msg/detail/path__struct.hpp"
 #include "autoware_planning_msgs/msg/detail/trajectory__struct.hpp"
@@ -23,7 +23,7 @@
 
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 using TrajectoryPoints = std::vector<autoware_planning_msgs::msg::TrajectoryPoint>;
 
@@ -115,6 +115,6 @@ inline tier4_planning_msgs::msg::PathWithLaneId convertToPathWithLaneId(
   return output;
 }
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__TRAJECTORY__CONVERSION_HPP_
diff --git a/common/motion_utils/include/motion_utils/trajectory/interpolation.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/interpolation.hpp
similarity index 79%
rename from common/motion_utils/include/motion_utils/trajectory/interpolation.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/trajectory/interpolation.hpp
index 0a0b14cb7488d..5272478cccd78 100644
--- a/common/motion_utils/include/motion_utils/trajectory/interpolation.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/interpolation.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
-#define MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
+#define AUTOWARE__MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "tier4_planning_msgs/msg/path_with_lane_id.hpp"
@@ -25,7 +25,7 @@
 #include <algorithm>
 #include <limits>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 /**
  * @brief An interpolation function that finds the closest interpolated point on the trajectory from
@@ -73,24 +73,24 @@ geometry_msgs::msg::Pose calcInterpolatedPose(const T & points, const double tar
   }
 
   if (points.size() < 2 || target_length < 0.0) {
-    return tier4_autoware_utils::getPose(points.front());
+    return autoware::universe_utils::getPose(points.front());
   }
 
   double accumulated_length = 0;
   for (size_t i = 0; i < points.size() - 1; ++i) {
-    const auto & curr_pose = tier4_autoware_utils::getPose(points.at(i));
-    const auto & next_pose = tier4_autoware_utils::getPose(points.at(i + 1));
-    const double length = tier4_autoware_utils::calcDistance3d(curr_pose, next_pose);
+    const auto & curr_pose = autoware::universe_utils::getPose(points.at(i));
+    const auto & next_pose = autoware::universe_utils::getPose(points.at(i + 1));
+    const double length = autoware::universe_utils::calcDistance3d(curr_pose, next_pose);
     if (accumulated_length + length > target_length) {
       const double ratio = (target_length - accumulated_length) / std::max(length, 1e-6);
-      return tier4_autoware_utils::calcInterpolatedPose(curr_pose, next_pose, ratio);
+      return autoware::universe_utils::calcInterpolatedPose(curr_pose, next_pose, ratio);
     }
     accumulated_length += length;
   }
 
-  return tier4_autoware_utils::getPose(points.back());
+  return autoware::universe_utils::getPose(points.back());
 }
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__TRAJECTORY__INTERPOLATION_HPP_
diff --git a/common/motion_utils/include/motion_utils/trajectory/path_with_lane_id.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/path_with_lane_id.hpp
similarity index 86%
rename from common/motion_utils/include/motion_utils/trajectory/path_with_lane_id.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/trajectory/path_with_lane_id.hpp
index d6d4fbf559323..0d875e636bad5 100644
--- a/common/motion_utils/include/motion_utils/trajectory/path_with_lane_id.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/path_with_lane_id.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
-#define MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
+#define AUTOWARE__MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
 
 #include "tier4_planning_msgs/msg/path_with_lane_id.hpp"
 #include <geometry_msgs/msg/point.hpp>
 
 #include <optional>
 #include <utility>
-namespace motion_utils
+namespace autoware::motion_utils
 {
 std::optional<std::pair<size_t, size_t>> getPathIndexRangeWithLaneId(
   const tier4_planning_msgs::msg::PathWithLaneId & path, const int64_t target_lane_id);
@@ -41,6 +41,6 @@ size_t findNearestSegmentIndexFromLaneId(
 tier4_planning_msgs::msg::PathWithLaneId convertToRearWheelCenter(
   const tier4_planning_msgs::msg::PathWithLaneId & path, const double rear_to_cog,
   const bool enable_last_point_compensation = true);
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__TRAJECTORY__PATH_WITH_LANE_ID_HPP_
diff --git a/common/motion_utils/include/motion_utils/trajectory/trajectory.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/trajectory.hpp
similarity index 90%
rename from common/motion_utils/include/motion_utils/trajectory/trajectory.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/trajectory/trajectory.hpp
index 3715f466e7684..da37d04550f5e 100644
--- a/common/motion_utils/include/motion_utils/trajectory/trajectory.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/trajectory/trajectory.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
-#define MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
+#define AUTOWARE__MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/geometry/pose_deviation.hpp"
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/system/backtrace.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/system/backtrace.hpp"
 
 #include <Eigen/Geometry>
 #include <rclcpp/logging.hpp>
@@ -35,11 +35,11 @@
 #include <utility>
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 static inline rclcpp::Logger get_logger()
 {
-  constexpr const char * logger{"motion_utils.trajectory"};
+  constexpr const char * logger{"autoware_motion_utils.trajectory"};
   return rclcpp::get_logger(logger);
 }
 
@@ -51,8 +51,8 @@ template <class T>
 void validateNonEmpty(const T & points)
 {
   if (points.empty()) {
-    tier4_autoware_utils::print_backtrace();
-    throw std::invalid_argument("[motion_utils] validateNonEmpty(): Points is empty.");
+    autoware::universe_utils::print_backtrace();
+    throw std::invalid_argument("[autoware_motion_utils] validateNonEmpty(): Points is empty.");
   }
 }
 
@@ -72,23 +72,24 @@ extern template void validateNonEmpty<std::vector<autoware_planning_msgs::msg::T
 template <class T>
 void validateNonSharpAngle(
   const T & point1, const T & point2, const T & point3,
-  const double angle_threshold = tier4_autoware_utils::pi / 4)
+  const double angle_threshold = autoware::universe_utils::pi / 4)
 {
-  const auto p1 = tier4_autoware_utils::getPoint(point1);
-  const auto p2 = tier4_autoware_utils::getPoint(point2);
-  const auto p3 = tier4_autoware_utils::getPoint(point3);
+  const auto p1 = autoware::universe_utils::getPoint(point1);
+  const auto p2 = autoware::universe_utils::getPoint(point2);
+  const auto p3 = autoware::universe_utils::getPoint(point3);
 
   const std::vector vec_1to2 = {p2.x - p1.x, p2.y - p1.y, p2.z - p1.z};
   const std::vector vec_3to2 = {p2.x - p3.x, p2.y - p3.y, p2.z - p3.z};
   const auto product = std::inner_product(vec_1to2.begin(), vec_1to2.end(), vec_3to2.begin(), 0.0);
 
-  const auto dist_1to2 = tier4_autoware_utils::calcDistance3d(p1, p2);
-  const auto dist_3to2 = tier4_autoware_utils::calcDistance3d(p3, p2);
+  const auto dist_1to2 = autoware::universe_utils::calcDistance3d(p1, p2);
+  const auto dist_3to2 = autoware::universe_utils::calcDistance3d(p3, p2);
 
   constexpr double epsilon = 1e-3;
   if (std::cos(angle_threshold) < product / dist_1to2 / dist_3to2 + epsilon) {
-    tier4_autoware_utils::print_backtrace();
-    throw std::invalid_argument("[motion_utils] validateNonSharpAngle(): Too sharp angle.");
+    autoware::universe_utils::print_backtrace();
+    throw std::invalid_argument(
+      "[autoware_motion_utils] validateNonSharpAngle(): Too sharp angle.");
   }
 }
 
@@ -105,10 +106,10 @@ std::optional<bool> isDrivingForward(const T & points)
   }
 
   // check the first point direction
-  const auto & first_pose = tier4_autoware_utils::getPose(points.at(0));
-  const auto & second_pose = tier4_autoware_utils::getPose(points.at(1));
+  const auto & first_pose = autoware::universe_utils::getPose(points.at(0));
+  const auto & second_pose = autoware::universe_utils::getPose(points.at(1));
 
-  return tier4_autoware_utils::isDrivingForward(first_pose, second_pose);
+  return autoware::universe_utils::isDrivingForward(first_pose, second_pose);
 }
 
 extern template std::optional<bool>
@@ -134,10 +135,10 @@ std::optional<bool> isDrivingForwardWithTwist(const T & points_with_twist)
     return std::nullopt;
   }
   if (points_with_twist.size() == 1) {
-    if (0.0 < tier4_autoware_utils::getLongitudinalVelocity(points_with_twist.front())) {
+    if (0.0 < autoware::universe_utils::getLongitudinalVelocity(points_with_twist.front())) {
       return true;
     }
-    if (0.0 > tier4_autoware_utils::getLongitudinalVelocity(points_with_twist.front())) {
+    if (0.0 > autoware::universe_utils::getLongitudinalVelocity(points_with_twist.front())) {
       return false;
     }
     return std::nullopt;
@@ -181,8 +182,8 @@ T removeOverlapPoints(const T & points, const size_t start_idx = 0)
 
   constexpr double eps = 1.0E-08;
   for (size_t i = start_idx + 1; i < points.size(); ++i) {
-    const auto prev_p = tier4_autoware_utils::getPoint(dst.back());
-    const auto curr_p = tier4_autoware_utils::getPoint(points.at(i));
+    const auto prev_p = autoware::universe_utils::getPoint(dst.back());
+    const auto curr_p = autoware::universe_utils::getPoint(points.at(i));
     if (std::abs(prev_p.x - curr_p.x) < eps && std::abs(prev_p.y - curr_p.y) < eps) {
       continue;
     }
@@ -298,7 +299,7 @@ size_t findNearestIndex(const T & points, const geometry_msgs::msg::Point & poin
   size_t min_idx = 0;
 
   for (size_t i = 0; i < points.size(); ++i) {
-    const auto dist = tier4_autoware_utils::calcSquaredDistance2d(points.at(i), point);
+    const auto dist = autoware::universe_utils::calcSquaredDistance2d(points.at(i), point);
     if (dist < min_dist) {
       min_dist = dist;
       min_idx = i;
@@ -350,13 +351,13 @@ std::optional<size_t> findNearestIndex(
   size_t min_idx = 0;
 
   for (size_t i = 0; i < points.size(); ++i) {
-    const auto squared_dist = tier4_autoware_utils::calcSquaredDistance2d(points.at(i), pose);
+    const auto squared_dist = autoware::universe_utils::calcSquaredDistance2d(points.at(i), pose);
     if (squared_dist > max_squared_dist || squared_dist >= min_squared_dist) {
       continue;
     }
 
-    const auto yaw =
-      tier4_autoware_utils::calcYawDeviation(tier4_autoware_utils::getPose(points.at(i)), pose);
+    const auto yaw = autoware::universe_utils::calcYawDeviation(
+      autoware::universe_utils::getPose(points.at(i)), pose);
     if (std::fabs(yaw) > max_yaw) {
       continue;
     }
@@ -405,10 +406,10 @@ double calcLongitudinalOffsetToSegment(
 {
   if (seg_idx >= points.size() - 1) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       ": Failed to calculate longitudinal offset because the given segment index is out of the "
       "points size.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::out_of_range(error_message);
     }
@@ -434,9 +435,9 @@ double calcLongitudinalOffsetToSegment(
 
   if (seg_idx >= overlap_removed_points.size() - 1) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       ": Longitudinal offset calculation is not supported for the same points.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::runtime_error(error_message);
     }
@@ -447,8 +448,8 @@ double calcLongitudinalOffsetToSegment(
     return std::nan("");
   }
 
-  const auto p_front = tier4_autoware_utils::getPoint(overlap_removed_points.at(seg_idx));
-  const auto p_back = tier4_autoware_utils::getPoint(overlap_removed_points.at(seg_idx + 1));
+  const auto p_front = autoware::universe_utils::getPoint(overlap_removed_points.at(seg_idx));
+  const auto p_back = autoware::universe_utils::getPoint(overlap_removed_points.at(seg_idx + 1));
 
   const Eigen::Vector3d segment_vec{p_back.x - p_front.x, p_back.y - p_front.y, 0};
   const Eigen::Vector3d target_vec{p_target.x - p_front.x, p_target.y - p_front.y, 0};
@@ -596,9 +597,9 @@ double calcLateralOffset(
 
   if (overlap_removed_points.size() == 1) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       ": Lateral offset calculation is not supported for the same points.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::runtime_error(error_message);
     }
@@ -613,8 +614,8 @@ double calcLateralOffset(
   const auto p_front_idx = (p_indices > seg_idx) ? seg_idx : p_indices;
   const auto p_back_idx = p_front_idx + 1;
 
-  const auto p_front = tier4_autoware_utils::getPoint(overlap_removed_points.at(p_front_idx));
-  const auto p_back = tier4_autoware_utils::getPoint(overlap_removed_points.at(p_back_idx));
+  const auto p_front = autoware::universe_utils::getPoint(overlap_removed_points.at(p_front_idx));
+  const auto p_back = autoware::universe_utils::getPoint(overlap_removed_points.at(p_back_idx));
 
   const Eigen::Vector3d segment_vec{p_back.x - p_front.x, p_back.y - p_front.y, 0.0};
   const Eigen::Vector3d target_vec{p_target.x - p_front.x, p_target.y - p_front.y, 0.0};
@@ -669,9 +670,9 @@ double calcLateralOffset(
 
   if (overlap_removed_points.size() == 1) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       ": Lateral offset calculation is not supported for the same points.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::runtime_error(error_message);
     }
@@ -723,7 +724,7 @@ double calcSignedArcLength(const T & points, const size_t src_idx, const size_t
 
   double dist_sum = 0.0;
   for (size_t i = src_idx; i < dst_idx; ++i) {
-    dist_sum += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i + 1));
+    dist_sum += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i + 1));
   }
   return dist_sum;
 }
@@ -771,7 +772,7 @@ std::vector<double> calcSignedArcLengthPartialSum(
   double dist_sum = 0.0;
   partial_dist.push_back(dist_sum);
   for (size_t i = src_idx; i < dst_idx - 1; ++i) {
-    dist_sum += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i + 1));
+    dist_sum += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i + 1));
     partial_dist.push_back(dist_sum);
   }
   return partial_dist;
@@ -958,10 +959,10 @@ std::vector<double> calcCurvature(const T & points)
   }
 
   for (size_t i = 1; i < points.size() - 1; ++i) {
-    const auto p1 = tier4_autoware_utils::getPoint(points.at(i - 1));
-    const auto p2 = tier4_autoware_utils::getPoint(points.at(i));
-    const auto p3 = tier4_autoware_utils::getPoint(points.at(i + 1));
-    curvature_vec.at(i) = (tier4_autoware_utils::calcCurvature(p1, p2, p3));
+    const auto p1 = autoware::universe_utils::getPoint(points.at(i - 1));
+    const auto p2 = autoware::universe_utils::getPoint(points.at(i));
+    const auto p3 = autoware::universe_utils::getPoint(points.at(i + 1));
+    curvature_vec.at(i) = (autoware::universe_utils::calcCurvature(p1, p2, p3));
   }
   curvature_vec.at(0) = curvature_vec.at(1);
   curvature_vec.at(curvature_vec.size() - 1) = curvature_vec.at(curvature_vec.size() - 2);
@@ -996,12 +997,13 @@ std::vector<std::pair<double, double>> calcCurvatureAndArcLength(const T & point
   std::vector<std::pair<double, double>> curvature_arc_length_vec;
   curvature_arc_length_vec.emplace_back(0.0, 0.0);
   for (size_t i = 1; i < points.size() - 1; ++i) {
-    const auto p1 = tier4_autoware_utils::getPoint(points.at(i - 1));
-    const auto p2 = tier4_autoware_utils::getPoint(points.at(i));
-    const auto p3 = tier4_autoware_utils::getPoint(points.at(i + 1));
-    const double curvature = tier4_autoware_utils::calcCurvature(p1, p2, p3);
-    const double arc_length = tier4_autoware_utils::calcDistance2d(points.at(i - 1), points.at(i)) +
-                              tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i + 1));
+    const auto p1 = autoware::universe_utils::getPoint(points.at(i - 1));
+    const auto p2 = autoware::universe_utils::getPoint(points.at(i));
+    const auto p3 = autoware::universe_utils::getPoint(points.at(i + 1));
+    const double curvature = autoware::universe_utils::calcCurvature(p1, p2, p3);
+    const double arc_length =
+      autoware::universe_utils::calcDistance2d(points.at(i - 1), points.at(i)) +
+      autoware::universe_utils::calcDistance2d(points.at(i), points.at(i + 1));
     curvature_arc_length_vec.emplace_back(curvature, arc_length);
   }
   curvature_arc_length_vec.emplace_back(0.0, 0.0);
@@ -1073,10 +1075,10 @@ std::optional<geometry_msgs::msg::Point> calcLongitudinalOffsetPoint(
 
   if (points.size() - 1 < src_idx) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       " error: The given source index is out of the points size. Failed to calculate longitudinal "
       "offset.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::out_of_range(error_message);
     }
@@ -1092,7 +1094,7 @@ std::optional<geometry_msgs::msg::Point> calcLongitudinalOffsetPoint(
   }
 
   if (src_idx + 1 == points.size() && offset == 0.0) {
-    return tier4_autoware_utils::getPoint(points.at(src_idx));
+    return autoware::universe_utils::getPoint(points.at(src_idx));
   }
 
   if (offset < 0.0) {
@@ -1108,12 +1110,12 @@ std::optional<geometry_msgs::msg::Point> calcLongitudinalOffsetPoint(
     const auto & p_front = points.at(i);
     const auto & p_back = points.at(i + 1);
 
-    const auto dist_segment = tier4_autoware_utils::calcDistance2d(p_front, p_back);
+    const auto dist_segment = autoware::universe_utils::calcDistance2d(p_front, p_back);
     dist_sum += dist_segment;
 
     const auto dist_res = offset - dist_sum;
     if (dist_res <= 0.0) {
-      return tier4_autoware_utils::calcInterpolatedPoint(
+      return autoware::universe_utils::calcInterpolatedPoint(
         p_back, p_front, std::abs(dist_res / dist_segment));
     }
   }
@@ -1204,10 +1206,10 @@ std::optional<geometry_msgs::msg::Pose> calcLongitudinalOffsetPose(
 
   if (points.size() - 1 < src_idx) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       " error: The given source index is out of the points size. Failed to calculate longitudinal "
       "offset.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::out_of_range(error_message);
     }
@@ -1221,7 +1223,7 @@ std::optional<geometry_msgs::msg::Pose> calcLongitudinalOffsetPose(
   }
 
   if (src_idx + 1 == points.size() && offset == 0.0) {
-    return tier4_autoware_utils::getPose(points.at(src_idx));
+    return autoware::universe_utils::getPose(points.at(src_idx));
   }
 
   if (offset < 0.0) {
@@ -1234,12 +1236,12 @@ std::optional<geometry_msgs::msg::Pose> calcLongitudinalOffsetPose(
       const auto & p_front = reverse_points.at(i);
       const auto & p_back = reverse_points.at(i + 1);
 
-      const auto dist_segment = tier4_autoware_utils::calcDistance2d(p_front, p_back);
+      const auto dist_segment = autoware::universe_utils::calcDistance2d(p_front, p_back);
       dist_sum += dist_segment;
 
       const auto dist_res = -offset - dist_sum;
       if (dist_res <= 0.0) {
-        return tier4_autoware_utils::calcInterpolatedPose(
+        return autoware::universe_utils::calcInterpolatedPose(
           p_back, p_front, std::abs(dist_res / dist_segment),
           set_orientation_from_position_direction);
       }
@@ -1251,12 +1253,12 @@ std::optional<geometry_msgs::msg::Pose> calcLongitudinalOffsetPose(
       const auto & p_front = points.at(i);
       const auto & p_back = points.at(i + 1);
 
-      const auto dist_segment = tier4_autoware_utils::calcDistance2d(p_front, p_back);
+      const auto dist_segment = autoware::universe_utils::calcDistance2d(p_front, p_back);
       dist_sum += dist_segment;
 
       const auto dist_res = offset - dist_sum;
       if (dist_res <= 0.0) {
-        return tier4_autoware_utils::calcInterpolatedPose(
+        return autoware::universe_utils::calcInterpolatedPose(
           p_front, p_back, 1.0 - std::abs(dist_res / dist_segment),
           set_orientation_from_position_direction);
       }
@@ -1356,8 +1358,8 @@ std::optional<size_t> insertTargetPoint(
     return {};
   }
 
-  const auto p_front = tier4_autoware_utils::getPoint(points.at(seg_idx));
-  const auto p_back = tier4_autoware_utils::getPoint(points.at(seg_idx + 1));
+  const auto p_front = autoware::universe_utils::getPoint(points.at(seg_idx));
+  const auto p_back = autoware::universe_utils::getPoint(points.at(seg_idx + 1));
 
   try {
     validateNonSharpAngle(p_front, p_target, p_back);
@@ -1367,9 +1369,9 @@ std::optional<size_t> insertTargetPoint(
   }
 
   const auto overlap_with_front =
-    tier4_autoware_utils::calcDistance2d(p_target, p_front) < overlap_threshold;
+    autoware::universe_utils::calcDistance2d(p_target, p_front) < overlap_threshold;
   const auto overlap_with_back =
-    tier4_autoware_utils::calcDistance2d(p_target, p_back) < overlap_threshold;
+    autoware::universe_utils::calcDistance2d(p_target, p_back) < overlap_threshold;
 
   const auto is_driving_forward = isDrivingForward(points);
   if (!is_driving_forward) {
@@ -1379,31 +1381,31 @@ std::optional<size_t> insertTargetPoint(
   geometry_msgs::msg::Pose target_pose;
   {
     const auto p_base = is_driving_forward.value() ? p_back : p_front;
-    const auto pitch = tier4_autoware_utils::calcElevationAngle(p_target, p_base);
-    const auto yaw = tier4_autoware_utils::calcAzimuthAngle(p_target, p_base);
+    const auto pitch = autoware::universe_utils::calcElevationAngle(p_target, p_base);
+    const auto yaw = autoware::universe_utils::calcAzimuthAngle(p_target, p_base);
 
     target_pose.position = p_target;
-    target_pose.orientation = tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, yaw);
+    target_pose.orientation = autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, yaw);
   }
 
   auto p_insert = points.at(seg_idx);
-  tier4_autoware_utils::setPose(target_pose, p_insert);
+  autoware::universe_utils::setPose(target_pose, p_insert);
 
   geometry_msgs::msg::Pose base_pose;
   {
     const auto p_base = is_driving_forward.value() ? p_front : p_back;
-    const auto pitch = tier4_autoware_utils::calcElevationAngle(p_base, p_target);
-    const auto yaw = tier4_autoware_utils::calcAzimuthAngle(p_base, p_target);
+    const auto pitch = autoware::universe_utils::calcElevationAngle(p_base, p_target);
+    const auto yaw = autoware::universe_utils::calcAzimuthAngle(p_base, p_target);
 
-    base_pose.position = tier4_autoware_utils::getPoint(p_base);
-    base_pose.orientation = tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, yaw);
+    base_pose.position = autoware::universe_utils::getPoint(p_base);
+    base_pose.orientation = autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, yaw);
   }
 
   if (!overlap_with_front && !overlap_with_back) {
     if (is_driving_forward.value()) {
-      tier4_autoware_utils::setPose(base_pose, points.at(seg_idx));
+      autoware::universe_utils::setPose(base_pose, points.at(seg_idx));
     } else {
-      tier4_autoware_utils::setPose(base_pose, points.at(seg_idx + 1));
+      autoware::universe_utils::setPose(base_pose, points.at(seg_idx + 1));
     }
     points.insert(points.begin() + seg_idx + 1, p_insert);
     return seg_idx + 1;
@@ -1537,9 +1539,9 @@ std::optional<size_t> insertTargetPoint(
   const double target_length =
     insert_point_length - calcSignedArcLength(points, src_segment_idx, *segment_idx);
   const double ratio = std::clamp(target_length / segment_length, 0.0, 1.0);
-  const auto p_target = tier4_autoware_utils::calcInterpolatedPoint(
-    tier4_autoware_utils::getPoint(points.at(*segment_idx)),
-    tier4_autoware_utils::getPoint(points.at(*segment_idx + 1)), ratio);
+  const auto p_target = autoware::universe_utils::calcInterpolatedPoint(
+    autoware::universe_utils::getPoint(points.at(*segment_idx)),
+    autoware::universe_utils::getPoint(points.at(*segment_idx + 1)), ratio);
 
   return insertTargetPoint(*segment_idx, p_target, points, overlap_threshold);
 }
@@ -1643,7 +1645,7 @@ std::optional<size_t> insertStopPoint(
   }
 
   for (size_t i = *stop_idx; i < points_with_twist.size(); ++i) {
-    tier4_autoware_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
+    autoware::universe_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
   }
 
   return stop_idx;
@@ -1685,9 +1687,9 @@ std::optional<size_t> insertStopPoint(
 
   double accumulated_length = 0;
   for (size_t i = 0; i < points_with_twist.size() - 1; ++i) {
-    const auto curr_pose = tier4_autoware_utils::getPose(points_with_twist.at(i));
-    const auto next_pose = tier4_autoware_utils::getPose(points_with_twist.at(i + 1));
-    const double length = tier4_autoware_utils::calcDistance2d(curr_pose, next_pose);
+    const auto curr_pose = autoware::universe_utils::getPose(points_with_twist.at(i));
+    const auto next_pose = autoware::universe_utils::getPose(points_with_twist.at(i + 1));
+    const double length = autoware::universe_utils::calcDistance2d(curr_pose, next_pose);
     if (accumulated_length + length + overlap_threshold > distance_to_stop_point) {
       const double insert_length = distance_to_stop_point - accumulated_length;
       return insertStopPoint(i, insert_length, points_with_twist, overlap_threshold);
@@ -1747,7 +1749,7 @@ std::optional<size_t> insertStopPoint(
   }
 
   for (size_t i = *stop_idx; i < points_with_twist.size(); ++i) {
-    tier4_autoware_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
+    autoware::universe_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
   }
 
   return stop_idx;
@@ -1786,15 +1788,15 @@ std::optional<size_t> insertStopPoint(
   const size_t stop_seg_idx, const geometry_msgs::msg::Point & stop_point, T & points_with_twist,
   const double overlap_threshold = 1e-3)
 {
-  const auto insert_idx =
-    motion_utils::insertTargetPoint(stop_seg_idx, stop_point, points_with_twist, overlap_threshold);
+  const auto insert_idx = autoware::motion_utils::insertTargetPoint(
+    stop_seg_idx, stop_point, points_with_twist, overlap_threshold);
 
   if (!insert_idx) {
     return std::nullopt;
   }
 
   for (size_t i = insert_idx.value(); i < points_with_twist.size(); ++i) {
-    tier4_autoware_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
+    autoware::universe_utils::setLongitudinalVelocity(0.0, points_with_twist.at(i));
   }
 
   return insert_idx;
@@ -1834,8 +1836,8 @@ std::optional<size_t> insertDecelPoint(
 
   for (size_t i = insert_idx.value(); i < points_with_twist.size(); ++i) {
     const auto & original_velocity =
-      tier4_autoware_utils::getLongitudinalVelocity(points_with_twist.at(i));
-    tier4_autoware_utils::setLongitudinalVelocity(
+      autoware::universe_utils::getLongitudinalVelocity(points_with_twist.at(i));
+    autoware::universe_utils::setLongitudinalVelocity(
       std::min(original_velocity, velocity), points_with_twist.at(i));
   }
 
@@ -1858,30 +1860,30 @@ void insertOrientation(T & points, const bool is_driving_forward)
 {
   if (is_driving_forward) {
     for (size_t i = 0; i < points.size() - 1; ++i) {
-      const auto & src_point = tier4_autoware_utils::getPoint(points.at(i));
-      const auto & dst_point = tier4_autoware_utils::getPoint(points.at(i + 1));
-      const double pitch = tier4_autoware_utils::calcElevationAngle(src_point, dst_point);
-      const double yaw = tier4_autoware_utils::calcAzimuthAngle(src_point, dst_point);
-      tier4_autoware_utils::setOrientation(
-        tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, yaw), points.at(i));
+      const auto & src_point = autoware::universe_utils::getPoint(points.at(i));
+      const auto & dst_point = autoware::universe_utils::getPoint(points.at(i + 1));
+      const double pitch = autoware::universe_utils::calcElevationAngle(src_point, dst_point);
+      const double yaw = autoware::universe_utils::calcAzimuthAngle(src_point, dst_point);
+      autoware::universe_utils::setOrientation(
+        autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, yaw), points.at(i));
       if (i == points.size() - 2) {
         // Terminal orientation is same as the point before it
-        tier4_autoware_utils::setOrientation(
-          tier4_autoware_utils::getPose(points.at(i)).orientation, points.at(i + 1));
+        autoware::universe_utils::setOrientation(
+          autoware::universe_utils::getPose(points.at(i)).orientation, points.at(i + 1));
       }
     }
   } else {
     for (size_t i = points.size() - 1; i >= 1; --i) {
-      const auto & src_point = tier4_autoware_utils::getPoint(points.at(i));
-      const auto & dst_point = tier4_autoware_utils::getPoint(points.at(i - 1));
-      const double pitch = tier4_autoware_utils::calcElevationAngle(src_point, dst_point);
-      const double yaw = tier4_autoware_utils::calcAzimuthAngle(src_point, dst_point);
-      tier4_autoware_utils::setOrientation(
-        tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, yaw), points.at(i));
+      const auto & src_point = autoware::universe_utils::getPoint(points.at(i));
+      const auto & dst_point = autoware::universe_utils::getPoint(points.at(i - 1));
+      const double pitch = autoware::universe_utils::calcElevationAngle(src_point, dst_point);
+      const double yaw = autoware::universe_utils::calcAzimuthAngle(src_point, dst_point);
+      autoware::universe_utils::setOrientation(
+        autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, yaw), points.at(i));
     }
     // Initial orientation is same as the point after it
-    tier4_autoware_utils::setOrientation(
-      tier4_autoware_utils::getPose(points.at(1)).orientation, points.at(0));
+    autoware::universe_utils::setOrientation(
+      autoware::universe_utils::getPose(points.at(1)).orientation, points.at(0));
   }
 }
 
@@ -1906,14 +1908,14 @@ template <class T>
 void removeFirstInvalidOrientationPoints(T & points, const double max_yaw_diff = M_PI_2)
 {
   for (auto itr = points.begin(); std::next(itr) != points.end();) {
-    const auto p1 = tier4_autoware_utils::getPose(*itr);
-    const auto p2 = tier4_autoware_utils::getPose(*std::next(itr));
+    const auto p1 = autoware::universe_utils::getPose(*itr);
+    const auto p2 = autoware::universe_utils::getPose(*std::next(itr));
     const double yaw1 = tf2::getYaw(p1.orientation);
     const double yaw2 = tf2::getYaw(p2.orientation);
 
     if (
-      max_yaw_diff < std::abs(tier4_autoware_utils::normalizeRadian(yaw1 - yaw2)) ||
-      !tier4_autoware_utils::isDrivingForward(p1, p2)) {
+      max_yaw_diff < std::abs(autoware::universe_utils::normalizeRadian(yaw1 - yaw2)) ||
+      !autoware::universe_utils::isDrivingForward(p1, p2)) {
       points.erase(std::next(itr));
       return;
     } else {
@@ -2066,9 +2068,9 @@ size_t findFirstNearestIndexWithSoftConstraints(
     bool is_within_constraints = false;
     for (size_t i = 0; i < points.size(); ++i) {
       const auto squared_dist =
-        tier4_autoware_utils::calcSquaredDistance2d(points.at(i), pose.position);
-      const auto yaw =
-        tier4_autoware_utils::calcYawDeviation(tier4_autoware_utils::getPose(points.at(i)), pose);
+        autoware::universe_utils::calcSquaredDistance2d(points.at(i), pose.position);
+      const auto yaw = autoware::universe_utils::calcYawDeviation(
+        autoware::universe_utils::getPose(points.at(i)), pose);
 
       if (squared_dist_threshold < squared_dist || yaw_threshold < std::abs(yaw)) {
         if (is_within_constraints) {
@@ -2099,7 +2101,7 @@ size_t findFirstNearestIndexWithSoftConstraints(
     bool is_within_constraints = false;
     for (size_t i = 0; i < points.size(); ++i) {
       const auto squared_dist =
-        tier4_autoware_utils::calcSquaredDistance2d(points.at(i), pose.position);
+        autoware::universe_utils::calcSquaredDistance2d(points.at(i), pose.position);
 
       if (squared_dist_threshold < squared_dist) {
         if (is_within_constraints) {
@@ -2229,13 +2231,13 @@ std::optional<double> calcDistanceToForwardStopPoint(
   }
 
   const auto nearest_segment_idx =
-    motion_utils::findNearestSegmentIndex(points_with_twist, pose, max_dist, max_yaw);
+    autoware::motion_utils::findNearestSegmentIndex(points_with_twist, pose, max_dist, max_yaw);
 
   if (!nearest_segment_idx) {
     return std::nullopt;
   }
 
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(
+  const auto stop_idx = autoware::motion_utils::searchZeroVelocityIndex(
     points_with_twist, *nearest_segment_idx + 1, points_with_twist.size());
 
   if (!stop_idx) {
@@ -2276,9 +2278,9 @@ T cropForwardPoints(
   }
 
   double sum_length =
-    -motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
+    -autoware::motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
   for (size_t i = target_seg_idx + 1; i < points.size(); ++i) {
-    sum_length += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    sum_length += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (forward_length < sum_length) {
       const size_t end_idx = i;
       return T{points.begin(), points.begin() + end_idx};
@@ -2316,9 +2318,9 @@ T cropBackwardPoints(
   }
 
   double sum_length =
-    -motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
+    -autoware::motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
   for (int i = target_seg_idx; 0 < i; --i) {
-    sum_length -= tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    sum_length -= autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (sum_length < -backward_length) {
       const size_t begin_idx = i;
       return T{points.begin() + begin_idx, points.end()};
@@ -2415,9 +2417,9 @@ double calcYawDeviation(
 
   if (overlap_removed_points.size() <= 1) {
     const std::string error_message(
-      "[motion_utils] " + std::string(__func__) +
+      "[autoware_motion_utils] " + std::string(__func__) +
       " Given points size is less than 2. Failed to calculate yaw deviation.");
-    tier4_autoware_utils::print_backtrace();
+    autoware::universe_utils::print_backtrace();
     if (throw_exception) {
       throw std::runtime_error(error_message);
     }
@@ -2430,12 +2432,12 @@ double calcYawDeviation(
 
   const size_t seg_idx = findNearestSegmentIndex(overlap_removed_points, pose.position);
 
-  const double path_yaw = tier4_autoware_utils::calcAzimuthAngle(
-    tier4_autoware_utils::getPoint(overlap_removed_points.at(seg_idx)),
-    tier4_autoware_utils::getPoint(overlap_removed_points.at(seg_idx + 1)));
+  const double path_yaw = autoware::universe_utils::calcAzimuthAngle(
+    autoware::universe_utils::getPoint(overlap_removed_points.at(seg_idx)),
+    autoware::universe_utils::getPoint(overlap_removed_points.at(seg_idx + 1)));
   const double pose_yaw = tf2::getYaw(pose.orientation);
 
-  return tier4_autoware_utils::normalizeRadian(pose_yaw - path_yaw);
+  return autoware::universe_utils::normalizeRadian(pose_yaw - path_yaw);
 }
 
 extern template double calcYawDeviation<std::vector<autoware_planning_msgs::msg::PathPoint>>(
@@ -2485,6 +2487,6 @@ extern template bool isTargetPointFront<std::vector<autoware_planning_msgs::msg:
   const geometry_msgs::msg::Point & base_point, const geometry_msgs::msg::Point & target_point,
   const double threshold = 0.0);
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__TRAJECTORY__TRAJECTORY_HPP_
diff --git a/common/motion_utils/include/motion_utils/vehicle/vehicle_state_checker.hpp b/common/autoware_motion_utils/include/autoware/motion_utils/vehicle/vehicle_state_checker.hpp
similarity index 88%
rename from common/motion_utils/include/motion_utils/vehicle/vehicle_state_checker.hpp
rename to common/autoware_motion_utils/include/autoware/motion_utils/vehicle/vehicle_state_checker.hpp
index 859bbdcc851ea..f1d5677d61f70 100644
--- a/common/motion_utils/include/motion_utils/vehicle/vehicle_state_checker.hpp
+++ b/common/autoware_motion_utils/include/autoware/motion_utils/vehicle/vehicle_state_checker.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
-#define MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
+#ifndef AUTOWARE__MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
+#define AUTOWARE__MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -23,7 +23,7 @@
 
 #include <deque>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 
 using autoware_planning_msgs::msg::Trajectory;
@@ -77,6 +77,6 @@ class VehicleArrivalChecker : public VehicleStopChecker
 
   void onTrajectory(const Trajectory::ConstSharedPtr msg);
 };
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
 
-#endif  // MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
+#endif  // AUTOWARE__MOTION_UTILS__VEHICLE__VEHICLE_STATE_CHECKER_HPP_
diff --git a/common/motion_utils/media/ego_nearest_search.svg b/common/autoware_motion_utils/media/ego_nearest_search.svg
similarity index 100%
rename from common/motion_utils/media/ego_nearest_search.svg
rename to common/autoware_motion_utils/media/ego_nearest_search.svg
diff --git a/common/motion_utils/media/segment.svg b/common/autoware_motion_utils/media/segment.svg
similarity index 100%
rename from common/motion_utils/media/segment.svg
rename to common/autoware_motion_utils/media/segment.svg
diff --git a/common/motion_utils/package.xml b/common/autoware_motion_utils/package.xml
similarity index 92%
rename from common/motion_utils/package.xml
rename to common/autoware_motion_utils/package.xml
index 21471a4a6a75e..81fec78b04812 100644
--- a/common/motion_utils/package.xml
+++ b/common/autoware_motion_utils/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>motion_utils</name>
+  <name>autoware_motion_utils</name>
   <version>0.1.0</version>
-  <description>The motion_utils package</description>
+  <description>The autoware_motion_utils package</description>
   <maintainer email="satoshi.ota@tier4.jp">Satoshi Ota</maintainer>
   <maintainer email="takayuki.murooka@tier4.jp">Takayuki Murooka</maintainer>
   <!-- reviewer-->
@@ -23,6 +23,7 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>builtin_interfaces</depend>
   <depend>geometry_msgs</depend>
@@ -31,7 +32,6 @@
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/common/motion_utils/src/distance/distance.cpp b/common/autoware_motion_utils/src/distance/distance.cpp
similarity index 98%
rename from common/motion_utils/src/distance/distance.cpp
rename to common/autoware_motion_utils/src/distance/distance.cpp
index 3ac37bbc7733b..d31e7ec709810 100644
--- a/common/motion_utils/src/distance/distance.cpp
+++ b/common/autoware_motion_utils/src/distance/distance.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/distance/distance.hpp"
+#include "autoware/motion_utils/distance/distance.hpp"
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 namespace
 {
@@ -269,4 +269,4 @@ std::optional<double> calcDecelDistWithJerkAndAccConstraints(
 
   return calcDecelDistPlanType3(current_vel, target_vel, current_acc, jerk_acc);
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/factor/velocity_factor_interface.cpp b/common/autoware_motion_utils/src/factor/velocity_factor_interface.cpp
similarity index 86%
rename from common/motion_utils/src/factor/velocity_factor_interface.cpp
rename to common/autoware_motion_utils/src/factor/velocity_factor_interface.cpp
index 6878c056b6f7a..e405cdb655c02 100644
--- a/common/motion_utils/src/factor/velocity_factor_interface.cpp
+++ b/common/autoware_motion_utils/src/factor/velocity_factor_interface.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <motion_utils/factor/velocity_factor_interface.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/factor/velocity_factor_interface.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <autoware_planning_msgs/msg/path_point.hpp>
 #include <autoware_planning_msgs/msg/trajectory_point.hpp>
 #include <tier4_planning_msgs/msg/path_point_with_lane_id.hpp>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 template <class PointType>
 void VelocityFactorInterface::set(
@@ -31,7 +31,7 @@ void VelocityFactorInterface::set(
   velocity_factor_.behavior = behavior_;
   velocity_factor_.pose = stop_pose;
   velocity_factor_.distance =
-    static_cast<float>(motion_utils::calcSignedArcLength(points, curr_point, stop_point));
+    static_cast<float>(autoware::motion_utils::calcSignedArcLength(points, curr_point, stop_point));
   velocity_factor_.status = status;
   velocity_factor_.detail = detail;
 }
@@ -46,4 +46,4 @@ template void VelocityFactorInterface::set<autoware_planning_msgs::msg::Trajecto
   const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> &, const Pose &, const Pose &,
   const VelocityFactorStatus, const std::string &);
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/marker/marker_helper.cpp b/common/autoware_motion_utils/src/marker/marker_helper.cpp
similarity index 86%
rename from common/motion_utils/src/marker/marker_helper.cpp
rename to common/autoware_motion_utils/src/marker/marker_helper.cpp
index 6e9c45adc241b..388c7102b825c 100644
--- a/common/motion_utils/src/marker/marker_helper.cpp
+++ b/common/autoware_motion_utils/src/marker/marker_helper.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
 
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <visualization_msgs/msg/marker_array.hpp>
 
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createDeletedDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createDeletedDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 using visualization_msgs::msg::MarkerArray;
 
 namespace
@@ -85,14 +85,14 @@ inline visualization_msgs::msg::MarkerArray createDeletedVirtualWallMarkerArray(
 }
 }  // namespace
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 visualization_msgs::msg::MarkerArray createStopVirtualWallMarker(
   const geometry_msgs::msg::Pose & pose, const std::string & module_name, const rclcpp::Time & now,
   const int32_t id, const double longitudinal_offset, const std::string & ns_prefix,
   const bool is_driving_forward)
 {
-  const auto pose_with_offset = tier4_autoware_utils::calcOffsetPose(
+  const auto pose_with_offset = autoware::universe_utils::calcOffsetPose(
     pose, longitudinal_offset * (is_driving_forward ? 1.0 : -1.0), 0.0, 0.0);
   return createVirtualWallMarkerArray(
     pose_with_offset, module_name, ns_prefix + "stop_", now, id,
@@ -104,7 +104,7 @@ visualization_msgs::msg::MarkerArray createSlowDownVirtualWallMarker(
   const int32_t id, const double longitudinal_offset, const std::string & ns_prefix,
   const bool is_driving_forward)
 {
-  const auto pose_with_offset = tier4_autoware_utils::calcOffsetPose(
+  const auto pose_with_offset = autoware::universe_utils::calcOffsetPose(
     pose, longitudinal_offset * (is_driving_forward ? 1.0 : -1.0), 0.0, 0.0);
   return createVirtualWallMarkerArray(
     pose_with_offset, module_name, ns_prefix + "slow_down_", now, id,
@@ -116,7 +116,7 @@ visualization_msgs::msg::MarkerArray createDeadLineVirtualWallMarker(
   const int32_t id, const double longitudinal_offset, const std::string & ns_prefix,
   const bool is_driving_forward)
 {
-  const auto pose_with_offset = tier4_autoware_utils::calcOffsetPose(
+  const auto pose_with_offset = autoware::universe_utils::calcOffsetPose(
     pose, longitudinal_offset * (is_driving_forward ? 1.0 : -1.0), 0.0, 0.0);
   return createVirtualWallMarkerArray(
     pose_with_offset, module_name, ns_prefix + "dead_line_", now, id,
@@ -140,4 +140,4 @@ visualization_msgs::msg::MarkerArray createDeletedDeadLineVirtualWallMarker(
 {
   return createDeletedVirtualWallMarkerArray("dead_line_", now, id);
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/marker/virtual_wall_marker_creator.cpp b/common/autoware_motion_utils/src/marker/virtual_wall_marker_creator.cpp
similarity index 86%
rename from common/motion_utils/src/marker/virtual_wall_marker_creator.cpp
rename to common/autoware_motion_utils/src/marker/virtual_wall_marker_creator.cpp
index 34aae096ffa9e..4fecaea1bb838 100644
--- a/common/motion_utils/src/marker/virtual_wall_marker_creator.cpp
+++ b/common/autoware_motion_utils/src/marker/virtual_wall_marker_creator.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/marker/virtual_wall_marker_creator.hpp"
+#include "autoware/motion_utils/marker/virtual_wall_marker_creator.hpp"
 
-#include "motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 
 void VirtualWallMarkerCreator::cleanup()
@@ -55,13 +55,13 @@ visualization_msgs::msg::MarkerArray VirtualWallMarkerCreator::create_markers(
   for (const auto & virtual_wall : virtual_walls_) {
     switch (virtual_wall.style) {
       case stop:
-        create_fn = motion_utils::createStopVirtualWallMarker;
+        create_fn = autoware::motion_utils::createStopVirtualWallMarker;
         break;
       case slowdown:
-        create_fn = motion_utils::createSlowDownVirtualWallMarker;
+        create_fn = autoware::motion_utils::createSlowDownVirtualWallMarker;
         break;
       case deadline:
-        create_fn = motion_utils::createDeadLineVirtualWallMarker;
+        create_fn = autoware::motion_utils::createDeadLineVirtualWallMarker;
         break;
     }
     auto markers = create_fn(
@@ -85,4 +85,4 @@ visualization_msgs::msg::MarkerArray VirtualWallMarkerCreator::create_markers(
   cleanup();
   return marker_array;
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/resample/resample.cpp b/common/autoware_motion_utils/src/resample/resample.cpp
similarity index 87%
rename from common/motion_utils/src/resample/resample.cpp
rename to common/autoware_motion_utils/src/resample/resample.cpp
index 4a4e8dff1e4ad..baf1c534a8a00 100644
--- a/common/motion_utils/src/resample/resample.cpp
+++ b/common/autoware_motion_utils/src/resample/resample.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
 
+#include "autoware/motion_utils/resample/resample_utils.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/zero_order_hold.hpp"
-#include "motion_utils/resample/resample_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 std::vector<geometry_msgs::msg::Point> resamplePointVector(
   const std::vector<geometry_msgs::msg::Point> & points,
@@ -50,7 +50,7 @@ std::vector<geometry_msgs::msg::Point> resamplePointVector(
   for (size_t i = 1; i < points.size(); ++i) {
     const auto & prev_pt = points.at(i - 1);
     const auto & curr_pt = points.at(i);
-    const double ds = tier4_autoware_utils::calcDistance2d(prev_pt, curr_pt);
+    const double ds = autoware::universe_utils::calcDistance2d(prev_pt, curr_pt);
     input_arclength.push_back(ds + input_arclength.back());
     x.push_back(curr_pt.x);
     y.push_back(curr_pt.y);
@@ -91,19 +91,19 @@ std::vector<geometry_msgs::msg::Point> resamplePointVector(
   const std::vector<geometry_msgs::msg::Point> & points, const double resample_interval,
   const bool use_akima_spline_for_xy, const bool use_lerp_for_z)
 {
-  const double input_length = motion_utils::calcArcLength(points);
+  const double input_length = autoware::motion_utils::calcArcLength(points);
 
   std::vector<double> resampling_arclength;
   for (double s = 0.0; s < input_length; s += resample_interval) {
     resampling_arclength.push_back(s);
   }
   if (resampling_arclength.empty()) {
-    std::cerr << "[motion_utils]: resampling arclength is empty" << std::endl;
+    std::cerr << "[autoware_motion_utils]: resampling arclength is empty" << std::endl;
     return points;
   }
 
   // Insert terminal point
-  if (input_length - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (input_length - resampling_arclength.back() < autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = input_length;
   } else {
     resampling_arclength.push_back(input_length);
@@ -118,7 +118,7 @@ std::vector<geometry_msgs::msg::Pose> resamplePoseVector(
   const bool use_lerp_for_z)
 {
   // Remove overlap points for resampling
-  const auto points = motion_utils::removeOverlapPoints(points_raw);
+  const auto points = autoware::motion_utils::removeOverlapPoints(points_raw);
 
   // validate arguments
   if (!resample_utils::validate_arguments(points, resampled_arclength)) {
@@ -144,8 +144,8 @@ std::vector<geometry_msgs::msg::Pose> resamplePoseVector(
   }
 
   const bool is_driving_forward =
-    tier4_autoware_utils::isDrivingForward(points.at(0), points.at(1));
-  motion_utils::insertOrientation(resampled_points, is_driving_forward);
+    autoware::universe_utils::isDrivingForward(points.at(0), points.at(1));
+  autoware::motion_utils::insertOrientation(resampled_points, is_driving_forward);
 
   // Initial orientation is depend on the initial value of the resampled_arclength
   // when backward driving
@@ -160,19 +160,19 @@ std::vector<geometry_msgs::msg::Pose> resamplePoseVector(
   const std::vector<geometry_msgs::msg::Pose> & points, const double resample_interval,
   const bool use_akima_spline_for_xy, const bool use_lerp_for_z)
 {
-  const double input_length = motion_utils::calcArcLength(points);
+  const double input_length = autoware::motion_utils::calcArcLength(points);
 
   std::vector<double> resampling_arclength;
   for (double s = 0.0; s < input_length; s += resample_interval) {
     resampling_arclength.push_back(s);
   }
   if (resampling_arclength.empty()) {
-    std::cerr << "[motion_utils]: resampling arclength is empty" << std::endl;
+    std::cerr << "[autoware_motion_utils]: resampling arclength is empty" << std::endl;
     return points;
   }
 
   // Insert terminal point
-  if (input_length - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (input_length - resampling_arclength.back() < autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = input_length;
   } else {
     resampling_arclength.push_back(input_length);
@@ -203,9 +203,9 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
           std::fabs(distance_to_resampling_point - resampling_arclength.at(j - 1));
         const double dist_to_following_point =
           std::fabs(resampling_arclength.at(j) - distance_to_resampling_point);
-        if (dist_to_prev_point < motion_utils::overlap_threshold) {
+        if (dist_to_prev_point < autoware::motion_utils::overlap_threshold) {
           resampling_arclength.at(j - 1) = distance_to_resampling_point;
-        } else if (dist_to_following_point < motion_utils::overlap_threshold) {
+        } else if (dist_to_following_point < autoware::motion_utils::overlap_threshold) {
           resampling_arclength.at(j) = distance_to_resampling_point;
         } else {
           resampling_arclength.insert(
@@ -260,7 +260,7 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
     const auto & prev_pt = input_path.points.at(i - 1).point;
     const auto & curr_pt = input_path.points.at(i).point;
     const double ds =
-      tier4_autoware_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
+      autoware::universe_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
     input_arclength.push_back(ds + input_arclength.back());
     input_pose.push_back(curr_pt.pose);
     v_lon.push_back(curr_pt.longitudinal_velocity_mps);
@@ -271,7 +271,7 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
   }
 
   if (input_arclength.back() < resampling_arclength.back()) {
-    std::cerr << "[motion_utils]: resampled path length is longer than input path length"
+    std::cerr << "[autoware_motion_utils]: resampled path length is longer than input path length"
               << std::endl;
     return input_path;
   }
@@ -328,8 +328,9 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
   }
 
   if (interpolated_pose.size() != resampling_arclength.size()) {
-    std::cerr << "[motion_utils]: Resampled pose size is different from resampled arclength"
-              << std::endl;
+    std::cerr
+      << "[autoware_motion_utils]: Resampled pose size is different from resampled arclength"
+      << std::endl;
     return input_path;
   }
 
@@ -369,19 +370,19 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
     transformed_input_path.at(i) = input_path.points.at(i).point;
   }
   // compute path length
-  const double input_path_len = motion_utils::calcArcLength(transformed_input_path);
+  const double input_path_len = autoware::motion_utils::calcArcLength(transformed_input_path);
 
   std::vector<double> resampling_arclength;
   for (double s = 0.0; s < input_path_len; s += resample_interval) {
     resampling_arclength.push_back(s);
   }
   if (resampling_arclength.empty()) {
-    std::cerr << "[motion_utils]: resampling arclength is empty" << std::endl;
+    std::cerr << "[autoware_motion_utils]: resampling arclength is empty" << std::endl;
     return input_path;
   }
 
   // Insert terminal point
-  if (input_path_len - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (input_path_len - resampling_arclength.back() < autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = input_path_len;
   } else {
     resampling_arclength.push_back(input_path_len);
@@ -390,7 +391,7 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
   // Insert stop point
   if (resample_input_path_stop_point) {
     const auto distance_to_stop_point =
-      motion_utils::calcDistanceToForwardStopPoint(transformed_input_path, 0);
+      autoware::motion_utils::calcDistanceToForwardStopPoint(transformed_input_path, 0);
     if (distance_to_stop_point && !resampling_arclength.empty()) {
       for (size_t i = 1; i < resampling_arclength.size(); ++i) {
         if (
@@ -400,9 +401,9 @@ tier4_planning_msgs::msg::PathWithLaneId resamplePath(
             std::fabs(*distance_to_stop_point - resampling_arclength.at(i - 1));
           const double dist_to_following_point =
             std::fabs(resampling_arclength.at(i) - *distance_to_stop_point);
-          if (dist_to_prev_point < motion_utils::overlap_threshold) {
+          if (dist_to_prev_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i - 1) = *distance_to_stop_point;
-          } else if (dist_to_following_point < motion_utils::overlap_threshold) {
+          } else if (dist_to_following_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i) = *distance_to_stop_point;
           } else {
             resampling_arclength.insert(resampling_arclength.begin() + i, *distance_to_stop_point);
@@ -449,7 +450,7 @@ autoware_planning_msgs::msg::Path resamplePath(
     const auto & prev_pt = input_path.points.at(i - 1);
     const auto & curr_pt = input_path.points.at(i);
     const double ds =
-      tier4_autoware_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
+      autoware::universe_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
     input_arclength.push_back(ds + input_arclength.back());
     input_pose.push_back(curr_pt.pose);
     v_lon.push_back(curr_pt.longitudinal_velocity_mps);
@@ -478,8 +479,9 @@ autoware_planning_msgs::msg::Path resamplePath(
   const auto interpolated_heading_rate = lerp(heading_rate);
 
   if (interpolated_pose.size() != resampled_arclength.size()) {
-    std::cerr << "[motion_utils]: Resampled pose size is different from resampled arclength"
-              << std::endl;
+    std::cerr
+      << "[autoware_motion_utils]: Resampled pose size is different from resampled arclength"
+      << std::endl;
     return input_path;
   }
 
@@ -510,19 +512,19 @@ autoware_planning_msgs::msg::Path resamplePath(
     return input_path;
   }
 
-  const double input_path_len = motion_utils::calcArcLength(input_path.points);
+  const double input_path_len = autoware::motion_utils::calcArcLength(input_path.points);
 
   std::vector<double> resampling_arclength;
   for (double s = 0.0; s < input_path_len; s += resample_interval) {
     resampling_arclength.push_back(s);
   }
   if (resampling_arclength.empty()) {
-    std::cerr << "[motion_utils]: resampling arclength is empty" << std::endl;
+    std::cerr << "[autoware_motion_utils]: resampling arclength is empty" << std::endl;
     return input_path;
   }
 
   // Insert terminal point
-  if (input_path_len - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (input_path_len - resampling_arclength.back() < autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = input_path_len;
   } else {
     resampling_arclength.push_back(input_path_len);
@@ -531,7 +533,7 @@ autoware_planning_msgs::msg::Path resamplePath(
   // Insert stop point
   if (resample_input_path_stop_point) {
     const auto distance_to_stop_point =
-      motion_utils::calcDistanceToForwardStopPoint(input_path.points, 0);
+      autoware::motion_utils::calcDistanceToForwardStopPoint(input_path.points, 0);
     if (distance_to_stop_point && !resampling_arclength.empty()) {
       for (size_t i = 1; i < resampling_arclength.size(); ++i) {
         if (
@@ -541,9 +543,9 @@ autoware_planning_msgs::msg::Path resamplePath(
             std::fabs(*distance_to_stop_point - resampling_arclength.at(i - 1));
           const double dist_to_following_point =
             std::fabs(resampling_arclength.at(i) - *distance_to_stop_point);
-          if (dist_to_prev_point < motion_utils::overlap_threshold) {
+          if (dist_to_prev_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i - 1) = *distance_to_stop_point;
-          } else if (dist_to_following_point < motion_utils::overlap_threshold) {
+          } else if (dist_to_following_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i) = *distance_to_stop_point;
           } else {
             resampling_arclength.insert(resampling_arclength.begin() + i, *distance_to_stop_point);
@@ -603,7 +605,7 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
     const auto & prev_pt = input_trajectory.points.at(i - 1);
     const auto & curr_pt = input_trajectory.points.at(i);
     const double ds =
-      tier4_autoware_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
+      autoware::universe_utils::calcDistance2d(prev_pt.pose.position, curr_pt.pose.position);
     input_arclength.push_back(ds + input_arclength.back());
     input_pose.push_back(curr_pt.pose);
     v_lon.push_back(curr_pt.longitudinal_velocity_mps);
@@ -641,8 +643,9 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
   const auto interpolated_time_from_start = lerp(time_from_start);
 
   if (interpolated_pose.size() != resampled_arclength.size()) {
-    std::cerr << "[motion_utils]: Resampled pose size is different from resampled arclength"
-              << std::endl;
+    std::cerr
+      << "[autoware_motion_utils]: Resampled pose size is different from resampled arclength"
+      << std::endl;
     return input_trajectory;
   }
 
@@ -675,19 +678,22 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
     return input_trajectory;
   }
 
-  const double input_trajectory_len = motion_utils::calcArcLength(input_trajectory.points);
+  const double input_trajectory_len =
+    autoware::motion_utils::calcArcLength(input_trajectory.points);
 
   std::vector<double> resampling_arclength;
   for (double s = 0.0; s < input_trajectory_len; s += resample_interval) {
     resampling_arclength.push_back(s);
   }
   if (resampling_arclength.empty()) {
-    std::cerr << "[motion_utils]: resampling arclength is empty" << std::endl;
+    std::cerr << "[autoware_motion_utils]: resampling arclength is empty" << std::endl;
     return input_trajectory;
   }
 
   // Insert terminal point
-  if (input_trajectory_len - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (
+    input_trajectory_len - resampling_arclength.back() <
+    autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = input_trajectory_len;
   } else {
     resampling_arclength.push_back(input_trajectory_len);
@@ -696,7 +702,7 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
   // Insert stop point
   if (resample_input_trajectory_stop_point) {
     const auto distance_to_stop_point =
-      motion_utils::calcDistanceToForwardStopPoint(input_trajectory.points, 0);
+      autoware::motion_utils::calcDistanceToForwardStopPoint(input_trajectory.points, 0);
     if (distance_to_stop_point && !resampling_arclength.empty()) {
       for (size_t i = 1; i < resampling_arclength.size(); ++i) {
         if (
@@ -706,9 +712,9 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
             std::fabs(*distance_to_stop_point - resampling_arclength.at(i - 1));
           const double dist_to_following_point =
             std::fabs(resampling_arclength.at(i) - *distance_to_stop_point);
-          if (dist_to_prev_point < motion_utils::overlap_threshold) {
+          if (dist_to_prev_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i - 1) = *distance_to_stop_point;
-          } else if (dist_to_following_point < motion_utils::overlap_threshold) {
+          } else if (dist_to_following_point < autoware::motion_utils::overlap_threshold) {
             resampling_arclength.at(i) = *distance_to_stop_point;
           } else {
             resampling_arclength.insert(resampling_arclength.begin() + i, *distance_to_stop_point);
@@ -724,4 +730,4 @@ autoware_planning_msgs::msg::Trajectory resampleTrajectory(
     use_zero_order_hold_for_twist);
 }
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/trajectory/conversion.cpp b/common/autoware_motion_utils/src/trajectory/conversion.cpp
similarity index 94%
rename from common/motion_utils/src/trajectory/conversion.cpp
rename to common/autoware_motion_utils/src/trajectory/conversion.cpp
index e3a221c61a2a7..368d3e0fbbb75 100644
--- a/common/motion_utils/src/trajectory/conversion.cpp
+++ b/common/autoware_motion_utils/src/trajectory/conversion.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 
 #include <algorithm>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 /**
  * @brief Convert std::vector<autoware_planning_msgs::msg::TrajectoryPoint> to
@@ -51,4 +51,4 @@ std::vector<autoware_planning_msgs::msg::TrajectoryPoint> convertToTrajectoryPoi
   return output;
 }
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/trajectory/interpolation.cpp b/common/autoware_motion_utils/src/trajectory/interpolation.cpp
similarity index 82%
rename from common/motion_utils/src/trajectory/interpolation.cpp
rename to common/autoware_motion_utils/src/trajectory/interpolation.cpp
index 13df39daab59d..4a9eaeca58d30 100644
--- a/common/motion_utils/src/trajectory/interpolation.cpp
+++ b/common/autoware_motion_utils/src/trajectory/interpolation.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/interpolation.hpp"
+#include "autoware/motion_utils/trajectory/interpolation.hpp"
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "interpolation/linear_interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 TrajectoryPoint calcInterpolatedPoint(
   const Trajectory & trajectory, const geometry_msgs::msg::Pose & target_pose,
@@ -37,14 +37,15 @@ TrajectoryPoint calcInterpolatedPoint(
     return trajectory.points.front();
   }
 
-  const size_t segment_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    trajectory.points, target_pose, dist_threshold, yaw_threshold);
+  const size_t segment_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      trajectory.points, target_pose, dist_threshold, yaw_threshold);
 
   // Calculate interpolation ratio
   const auto & curr_pt = trajectory.points.at(segment_idx);
   const auto & next_pt = trajectory.points.at(segment_idx + 1);
-  const auto v1 = tier4_autoware_utils::point2tfVector(curr_pt, next_pt);
-  const auto v2 = tier4_autoware_utils::point2tfVector(curr_pt, target_pose);
+  const auto v1 = autoware::universe_utils::point2tfVector(curr_pt, next_pt);
+  const auto v2 = autoware::universe_utils::point2tfVector(curr_pt, target_pose);
   if (v1.length2() < 1e-3) {
     return curr_pt;
   }
@@ -57,7 +58,7 @@ TrajectoryPoint calcInterpolatedPoint(
 
   // pose interpolation
   interpolated_point.pose =
-    tier4_autoware_utils::calcInterpolatedPose(curr_pt, next_pt, clamped_ratio);
+    autoware::universe_utils::calcInterpolatedPose(curr_pt, next_pt, clamped_ratio);
 
   // twist interpolation
   if (use_zero_order_hold_for_twist) {
@@ -105,14 +106,15 @@ PathPointWithLaneId calcInterpolatedPoint(
     return path.points.front();
   }
 
-  const size_t segment_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, target_pose, dist_threshold, yaw_threshold);
+  const size_t segment_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, target_pose, dist_threshold, yaw_threshold);
 
   // Calculate interpolation ratio
   const auto & curr_pt = path.points.at(segment_idx);
   const auto & next_pt = path.points.at(segment_idx + 1);
-  const auto v1 = tier4_autoware_utils::point2tfVector(curr_pt.point, next_pt.point);
-  const auto v2 = tier4_autoware_utils::point2tfVector(curr_pt.point, target_pose);
+  const auto v1 = autoware::universe_utils::point2tfVector(curr_pt.point, next_pt.point);
+  const auto v2 = autoware::universe_utils::point2tfVector(curr_pt.point, target_pose);
   if (v1.length2() < 1e-3) {
     return curr_pt;
   }
@@ -125,7 +127,7 @@ PathPointWithLaneId calcInterpolatedPoint(
 
   // pose interpolation
   interpolated_point.point.pose =
-    tier4_autoware_utils::calcInterpolatedPose(curr_pt.point, next_pt.point, clamped_ratio);
+    autoware::universe_utils::calcInterpolatedPose(curr_pt.point, next_pt.point, clamped_ratio);
 
   // twist interpolation
   if (use_zero_order_hold_for_twist) {
@@ -145,4 +147,4 @@ PathPointWithLaneId calcInterpolatedPoint(
 
   return interpolated_point;
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/trajectory/path_with_lane_id.cpp b/common/autoware_motion_utils/src/trajectory/path_with_lane_id.cpp
similarity index 88%
rename from common/motion_utils/src/trajectory/path_with_lane_id.cpp
rename to common/autoware_motion_utils/src/trajectory/path_with_lane_id.cpp
index 4c86135811003..cd8de63f56c1d 100644
--- a/common/motion_utils/src/trajectory/path_with_lane_id.cpp
+++ b/common/autoware_motion_utils/src/trajectory/path_with_lane_id.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include <algorithm>
 #include <utility>
 #include <vector>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 
 std::optional<std::pair<size_t, size_t>> getPathIndexRangeWithLaneId(
@@ -116,15 +116,15 @@ tier4_planning_msgs::msg::PathWithLaneId convertToRearWheelCenter(
 
     // apply beta to CoG pose
     geometry_msgs::msg::Pose cog_pose_with_beta;
-    cog_pose_with_beta.position = tier4_autoware_utils::getPoint(path.points.at(i));
+    cog_pose_with_beta.position = autoware::universe_utils::getPoint(path.points.at(i));
     cog_pose_with_beta.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(yaw_vec.at(i) - beta);
+      autoware::universe_utils::createQuaternionFromYaw(yaw_vec.at(i) - beta);
 
     const auto rear_pose =
-      tier4_autoware_utils::calcOffsetPose(cog_pose_with_beta, -rear_to_cog, 0.0, 0.0);
+      autoware::universe_utils::calcOffsetPose(cog_pose_with_beta, -rear_to_cog, 0.0, 0.0);
 
     // update pose
-    tier4_autoware_utils::setPose(rear_pose, cog_path.points.at(i));
+    autoware::universe_utils::setPose(rear_pose, cog_path.points.at(i));
   }
 
   // compensate for the last pose
@@ -136,4 +136,4 @@ tier4_planning_msgs::msg::PathWithLaneId convertToRearWheelCenter(
 
   return cog_path;
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/trajectory/trajectory.cpp b/common/autoware_motion_utils/src/trajectory/trajectory.cpp
similarity index 99%
rename from common/motion_utils/src/trajectory/trajectory.cpp
rename to common/autoware_motion_utils/src/trajectory/trajectory.cpp
index 42c750e3c109f..5d536c0772fea 100644
--- a/common/motion_utils/src/trajectory/trajectory.cpp
+++ b/common/autoware_motion_utils/src/trajectory/trajectory.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 
 //
@@ -599,4 +599,4 @@ template bool isTargetPointFront<std::vector<autoware_planning_msgs::msg::Trajec
   const geometry_msgs::msg::Point & base_point, const geometry_msgs::msg::Point & target_point,
   const double threshold);
 
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/src/vehicle/vehicle_state_checker.cpp b/common/autoware_motion_utils/src/vehicle/vehicle_state_checker.cpp
similarity index 88%
rename from common/motion_utils/src/vehicle/vehicle_state_checker.cpp
rename to common/autoware_motion_utils/src/vehicle/vehicle_state_checker.cpp
index 900a652033f28..e2a4754a5653e 100644
--- a/common/motion_utils/src/vehicle/vehicle_state_checker.cpp
+++ b/common/autoware_motion_utils/src/vehicle/vehicle_state_checker.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/vehicle/vehicle_state_checker.hpp"
+#include "autoware/motion_utils/vehicle/vehicle_state_checker.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
 #include <string>
 
-namespace motion_utils
+namespace autoware::motion_utils
 {
 VehicleStopCheckerBase::VehicleStopCheckerBase(rclcpp::Node * node, double buffer_duration)
 : clock_(node->get_clock()), logger_(node->get_logger())
@@ -118,18 +118,18 @@ bool VehicleArrivalChecker::isVehicleStoppedAtStopPoint(const double stop_durati
   }
 
   const auto & p = odometry_ptr_->pose.pose.position;
-  const auto idx = motion_utils::searchZeroVelocityIndex(trajectory_ptr_->points);
+  const auto idx = autoware::motion_utils::searchZeroVelocityIndex(trajectory_ptr_->points);
 
   if (!idx) {
     return false;
   }
 
-  return std::abs(motion_utils::calcSignedArcLength(trajectory_ptr_->points, p, idx.value())) <
-         th_arrived_distance_m;
+  return std::abs(autoware::motion_utils::calcSignedArcLength(
+           trajectory_ptr_->points, p, idx.value())) < th_arrived_distance_m;
 }
 
 void VehicleArrivalChecker::onTrajectory(const Trajectory::ConstSharedPtr msg)
 {
   trajectory_ptr_ = msg;
 }
-}  // namespace motion_utils
+}  // namespace autoware::motion_utils
diff --git a/common/motion_utils/test/src/distance/test_distance.cpp b/common/autoware_motion_utils/test/src/distance/test_distance.cpp
similarity index 96%
rename from common/motion_utils/test/src/distance/test_distance.cpp
rename to common/autoware_motion_utils/test/src/distance/test_distance.cpp
index 5bcb2c26fe1bd..f6d6a9cc4dafd 100644
--- a/common/motion_utils/test/src/distance/test_distance.cpp
+++ b/common/autoware_motion_utils/test/src/distance/test_distance.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/motion_utils/distance/distance.hpp"
 #include "gtest/gtest.h"
-#include "motion_utils/distance/distance.hpp"
 namespace
 {
-using motion_utils::calcDecelDistWithJerkAndAccConstraints;
+using autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints;
 
 constexpr double epsilon = 1e-3;
 
diff --git a/common/motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp b/common/autoware_motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp
similarity index 89%
rename from common/motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp
rename to common/autoware_motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp
index 7019a5425ac2e..5e2e0cc4bdf02 100644
--- a/common/motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp
+++ b/common/autoware_motion_utils/test/src/marker/test_virtual_wall_marker_creator.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/motion_utils/marker/virtual_wall_marker_creator.hpp"
 #include "gtest/gtest.h"
-#include "motion_utils/marker/virtual_wall_marker_creator.hpp"
 namespace
 {
 constexpr auto wall_ns_suffix = "_virtual_wall";
@@ -38,9 +38,9 @@ bool has_ns_id(
 
 TEST(VirtualWallMarkerCreator, oneWall)
 {
-  motion_utils::VirtualWall wall;
-  motion_utils::VirtualWallMarkerCreator creator;
-  wall.style = motion_utils::VirtualWallType::stop;
+  autoware::motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWallMarkerCreator creator;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   wall.pose.position.x = 1.0;
   wall.pose.position.y = 2.0;
   creator.add_virtual_wall(wall);
@@ -63,16 +63,16 @@ TEST(VirtualWallMarkerCreator, oneWall)
 
 TEST(VirtualWallMarkerCreator, manyWalls)
 {
-  motion_utils::VirtualWall wall;
-  motion_utils::VirtualWallMarkerCreator creator;
-  wall.style = motion_utils::VirtualWallType::stop;
+  autoware::motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWallMarkerCreator creator;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   wall.ns = "ns1_";
   creator.add_virtual_wall(wall);
   creator.add_virtual_wall(wall);
   creator.add_virtual_wall(wall);
   wall.ns = "ns2_";
   creator.add_virtual_wall(wall);
-  wall.style = motion_utils::VirtualWallType::slowdown;
+  wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   wall.ns = "ns2_";
   creator.add_virtual_wall(wall);
   creator.add_virtual_wall(wall);
@@ -80,7 +80,7 @@ TEST(VirtualWallMarkerCreator, manyWalls)
   creator.add_virtual_wall(wall);
   creator.add_virtual_wall(wall);
   creator.add_virtual_wall(wall);
-  wall.style = motion_utils::VirtualWallType::deadline;
+  wall.style = autoware::motion_utils::VirtualWallType::deadline;
   wall.ns = "ns1_";
   creator.add_virtual_wall(wall);
   wall.ns = "ns2_";
diff --git a/common/motion_utils/test/src/resample/test_resample.cpp b/common/autoware_motion_utils/test/src/resample/test_resample.cpp
similarity index 97%
rename from common/motion_utils/test/src/resample/test_resample.cpp
rename to common/autoware_motion_utils/test/src/resample/test_resample.cpp
index ef374f0b484db..62db1b665d07a 100644
--- a/common/motion_utils/test/src/resample/test_resample.cpp
+++ b/common/autoware_motion_utils/test/src/resample/test_resample.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/constants.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/motion_utils/constants.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 #include <gtest/internal/gtest-port.h>
@@ -27,13 +27,13 @@
 
 namespace
 {
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
+using autoware::universe_utils::transformPoint;
 using autoware_planning_msgs::msg::Path;
 using autoware_planning_msgs::msg::PathPoint;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
-using tier4_autoware_utils::transformPoint;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
@@ -177,8 +177,8 @@ std::vector<double> generateArclength(const size_t num_points, const double inte
 
 TEST(resample_vector_pose, resample_by_same_interval)
 {
+  using autoware::motion_utils::resamplePoseVector;
   using geometry_msgs::msg::Pose;
-  using motion_utils::resamplePoseVector;
 
   std::vector<Pose> path(10);
   for (size_t i = 0; i < 10; ++i) {
@@ -220,7 +220,7 @@ TEST(resample_vector_pose, resample_by_same_interval)
 
 TEST(resample_path_with_lane_id, resample_path_by_vector)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
   // Output is same as input
   {
     auto path = generateTestPathWithLaneId(10, 1.0, 3.0, 1.0, 0.01);
@@ -251,7 +251,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector)
 
     // Change the last point orientation
     path.points.back() = generateTestPathPointWithLaneId(
-      9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01, true, {9});
+      9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01, true, {9});
     {
       const auto resampled_path = resamplePath(path, resampled_arclength);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -276,7 +276,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = path.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
       EXPECT_NEAR(p.point.pose.position.x, ans_p.point.pose.position.x, epsilon);
       EXPECT_NEAR(p.point.pose.position.y, ans_p.point.pose.position.y, epsilon);
       EXPECT_NEAR(p.point.pose.position.z, ans_p.point.pose.position.z, epsilon);
@@ -540,14 +540,14 @@ TEST(resample_path_with_lane_id, resample_path_by_vector)
 
 TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   {
     tier4_planning_msgs::msg::PathWithLaneId path;
     path.points.resize(10);
     for (size_t i = 0; i < 10; ++i) {
       path.points.at(i) = generateTestPathPointWithLaneId(
-        i * 1.0, 0.0, 0.0, tier4_autoware_utils::pi, i * 1.0, i * 0.5, i * 0.1, false,
+        i * 1.0, 0.0, 0.0, autoware::universe_utils::pi, i * 1.0, i * 0.5, i * 0.1, false,
         {static_cast<int64_t>(i)});
     }
     path.points.back().point.is_final = true;
@@ -639,7 +639,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
       }
     }
 
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI);
     for (size_t i = 0; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i).point;
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -659,7 +659,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
     }
     path.points.back().point.is_final = true;
     path.points.at(0).point.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
+      autoware::universe_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
     std::vector<double> resampled_arclength = {0.0, 1.2, 1.5, 5.3, 7.5, 9.0};
 
     const auto resampled_path = resamplePath(path, resampled_arclength);
@@ -750,7 +750,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
 
     // Initial Orientation
     {
-      const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
       const auto p = resampled_path.points.at(0).point;
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
       EXPECT_NEAR(p.pose.orientation.y, ans_quat.y, epsilon);
@@ -758,7 +758,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
       EXPECT_NEAR(p.pose.orientation.w, ans_quat.w, epsilon);
     }
 
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI);
     for (size_t i = 1; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i).point;
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -771,7 +771,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_backward)
 
 TEST(resample_path_with_lane_id, resample_path_by_vector_non_default)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   // Lerp x, y
   {
@@ -919,7 +919,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_non_default)
     }
 
     const double pitch = std::atan(1.0);
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
     for (size_t i = 0; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i).point;
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -1009,7 +1009,7 @@ TEST(resample_path_with_lane_id, resample_path_by_vector_non_default)
 
 TEST(resample_path_with_lane_id, resample_path_by_same_interval)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   // Same point resampling
   {
@@ -1045,7 +1045,7 @@ TEST(resample_path_with_lane_id, resample_path_by_same_interval)
     }
     // Change the last point orientation
     path.points.back() = generateTestPathPointWithLaneId(
-      9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01, true, {9});
+      9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01, true, {9});
     {
       const auto resampled_path = resamplePath(path, 1.0);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -1070,7 +1070,7 @@ TEST(resample_path_with_lane_id, resample_path_by_same_interval)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = path.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(0.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(0.0);
       EXPECT_NEAR(p.point.pose.position.x, ans_p.point.pose.position.x, epsilon);
       EXPECT_NEAR(p.point.pose.position.y, ans_p.point.pose.position.y, epsilon);
       EXPECT_NEAR(p.point.pose.position.z, ans_p.point.pose.position.z, epsilon);
@@ -1194,7 +1194,7 @@ TEST(resample_path_with_lane_id, resample_path_by_same_interval)
     path.points.at(0).point.longitudinal_velocity_mps = 5.0;
     path.points.back().point.is_final = true;
 
-    const double ds = 1.0 - motion_utils::overlap_threshold;
+    const double ds = 1.0 - autoware::motion_utils::overlap_threshold;
     const auto resampled_path = resamplePath(path, ds);
     for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
       const auto p = resampled_path.points.at(i);
@@ -1564,7 +1564,7 @@ TEST(resample_path_with_lane_id, resample_path_by_same_interval)
 
 TEST(resample_path, resample_path_by_vector)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
   // Output is same as input
   {
     auto path = generateTestPath<Path>(10, 1.0, 3.0, 1.0, 0.01);
@@ -1590,7 +1590,7 @@ TEST(resample_path, resample_path_by_vector)
 
     // Change the last point orientation
     path.points.back() =
-      generateTestPathPoint(9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01);
+      generateTestPathPoint(9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01);
     {
       const auto resampled_path = resamplePath(path, resampled_arclength);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -1610,7 +1610,7 @@ TEST(resample_path, resample_path_by_vector)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = path.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
       EXPECT_NEAR(p.pose.position.x, ans_p.pose.position.x, epsilon);
       EXPECT_NEAR(p.pose.position.y, ans_p.pose.position.y, epsilon);
       EXPECT_NEAR(p.pose.position.z, ans_p.pose.position.z, epsilon);
@@ -1812,7 +1812,7 @@ TEST(resample_path, resample_path_by_vector)
 
 TEST(resample_path, resample_path_by_vector_backward)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   {
     autoware_planning_msgs::msg::Path path;
@@ -1884,7 +1884,7 @@ TEST(resample_path, resample_path_by_vector_backward)
       EXPECT_NEAR(p.heading_rate_rps, 0.9, epsilon);
     }
 
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI);
     for (size_t i = 0; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i);
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -1902,7 +1902,7 @@ TEST(resample_path, resample_path_by_vector_backward)
       path.points.at(i) = generateTestPathPoint(i * 1.0, 0.0, 0.0, M_PI, i * 1.0, i * 0.5, i * 0.1);
     }
     path.points.at(0).pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
+      autoware::universe_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
     std::vector<double> resampled_arclength = {0.0, 1.2, 1.5, 5.3, 7.5, 9.0};
 
     const auto resampled_path = resamplePath(path, resampled_arclength);
@@ -1969,7 +1969,7 @@ TEST(resample_path, resample_path_by_vector_backward)
 
     // Initial Orientation
     {
-      const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI + M_PI / 3.0);
       const auto p = resampled_path.points.at(0);
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
       EXPECT_NEAR(p.pose.orientation.y, ans_quat.y, epsilon);
@@ -1977,7 +1977,7 @@ TEST(resample_path, resample_path_by_vector_backward)
       EXPECT_NEAR(p.pose.orientation.w, ans_quat.w, epsilon);
     }
 
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromYaw(M_PI);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromYaw(M_PI);
     for (size_t i = 1; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i);
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -1990,7 +1990,7 @@ TEST(resample_path, resample_path_by_vector_backward)
 
 TEST(resample_path, resample_path_by_vector_non_default)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   // Lerp x, y
   {
@@ -2103,7 +2103,7 @@ TEST(resample_path, resample_path_by_vector_non_default)
     }
 
     const double pitch = std::atan(1.0);
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
     for (size_t i = 0; i < resampled_path.points.size(); ++i) {
       const auto p = resampled_path.points.at(i);
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -2175,7 +2175,7 @@ TEST(resample_path, resample_path_by_vector_non_default)
 
 TEST(resample_path, resample_path_by_same_interval)
 {
-  using motion_utils::resamplePath;
+  using autoware::motion_utils::resamplePath;
 
   // Same point resampling
   {
@@ -2205,7 +2205,7 @@ TEST(resample_path, resample_path_by_same_interval)
 
     // Change the last point orientation
     path.points.back() =
-      generateTestPathPoint(9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01);
+      generateTestPathPoint(9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01);
     {
       const auto resampled_path = resamplePath(path, 1.0);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -2225,7 +2225,7 @@ TEST(resample_path, resample_path_by_same_interval)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = path.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
       EXPECT_NEAR(p.pose.position.x, ans_p.pose.position.x, epsilon);
       EXPECT_NEAR(p.pose.position.y, ans_p.pose.position.y, epsilon);
       EXPECT_NEAR(p.pose.position.z, ans_p.pose.position.z, epsilon);
@@ -2321,7 +2321,7 @@ TEST(resample_path, resample_path_by_same_interval)
     }
     path.points.at(0).longitudinal_velocity_mps = 5.0;
 
-    const double ds = 1.0 - motion_utils::overlap_threshold;
+    const double ds = 1.0 - autoware::motion_utils::overlap_threshold;
     const auto resampled_path = resamplePath(path, ds);
     for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
       const auto p = resampled_path.points.at(i);
@@ -2633,7 +2633,7 @@ TEST(resample_path, resample_path_by_same_interval)
 
 TEST(resample_trajectory, resample_trajectory_by_vector)
 {
-  using motion_utils::resampleTrajectory;
+  using autoware::motion_utils::resampleTrajectory;
   // Output is same as input
   {
     auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 3.0, 1.0, 0.01, 0.5);
@@ -2660,7 +2660,7 @@ TEST(resample_trajectory, resample_trajectory_by_vector)
 
     // Change the last point orientation
     traj.points.back() = generateTestTrajectoryPoint(
-      9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01, 0.5);
+      9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01, 0.5);
     {
       const auto resampled_path = resampleTrajectory(traj, resampled_arclength);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -2681,7 +2681,7 @@ TEST(resample_trajectory, resample_trajectory_by_vector)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = traj.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
       EXPECT_NEAR(p.pose.position.x, ans_p.pose.position.x, epsilon);
       EXPECT_NEAR(p.pose.position.y, ans_p.pose.position.y, epsilon);
       EXPECT_NEAR(p.pose.position.z, ans_p.pose.position.z, epsilon);
@@ -2891,7 +2891,7 @@ TEST(resample_trajectory, resample_trajectory_by_vector)
 
 TEST(resample_trajectory, resample_trajectory_by_vector_non_default)
 {
-  using motion_utils::resampleTrajectory;
+  using autoware::motion_utils::resampleTrajectory;
 
   // Lerp x, y
   {
@@ -3013,7 +3013,7 @@ TEST(resample_trajectory, resample_trajectory_by_vector_non_default)
     }
 
     const double pitch = std::atan(1.0);
-    const auto ans_quat = tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
+    const auto ans_quat = autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, 0.0);
     for (size_t i = 0; i < resampled_traj.points.size(); ++i) {
       const auto p = resampled_traj.points.at(i);
       EXPECT_NEAR(p.pose.orientation.x, ans_quat.x, epsilon);
@@ -3090,7 +3090,7 @@ TEST(resample_trajectory, resample_trajectory_by_vector_non_default)
 
 TEST(resample_trajectory, resample_trajectory_by_same_interval)
 {
-  using motion_utils::resampleTrajectory;
+  using autoware::motion_utils::resampleTrajectory;
 
   // Same point resampling
   {
@@ -3122,7 +3122,7 @@ TEST(resample_trajectory, resample_trajectory_by_same_interval)
 
     // Change the last point orientation
     traj.points.back() = generateTestTrajectoryPoint(
-      9.0, 0.0, 0.0, tier4_autoware_utils::pi / 3.0, 3.0, 1.0, 0.01, 0.5);
+      9.0, 0.0, 0.0, autoware::universe_utils::pi / 3.0, 3.0, 1.0, 0.01, 0.5);
     {
       const auto resampled_path = resampleTrajectory(traj, 1.0);
       for (size_t i = 0; i < resampled_path.points.size() - 1; ++i) {
@@ -3143,7 +3143,7 @@ TEST(resample_trajectory, resample_trajectory_by_same_interval)
 
       const auto p = resampled_path.points.back();
       const auto ans_p = traj.points.back();
-      const auto ans_quat = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+      const auto ans_quat = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
       EXPECT_NEAR(p.pose.position.x, ans_p.pose.position.x, epsilon);
       EXPECT_NEAR(p.pose.position.y, ans_p.pose.position.y, epsilon);
       EXPECT_NEAR(p.pose.position.z, ans_p.pose.position.z, epsilon);
@@ -3246,7 +3246,7 @@ TEST(resample_trajectory, resample_trajectory_by_same_interval)
     }
     traj.points.at(0).longitudinal_velocity_mps = 5.0;
 
-    const double ds = 1.0 - motion_utils::overlap_threshold;
+    const double ds = 1.0 - autoware::motion_utils::overlap_threshold;
     const auto resampled_traj = resampleTrajectory(traj, ds);
     for (size_t i = 0; i < resampled_traj.points.size() - 1; ++i) {
       const auto p = resampled_traj.points.at(i);
diff --git a/common/motion_utils/test/src/test_motion_utils.cpp b/common/autoware_motion_utils/test/src/test_motion_utils.cpp
similarity index 100%
rename from common/motion_utils/test/src/test_motion_utils.cpp
rename to common/autoware_motion_utils/test/src/test_motion_utils.cpp
diff --git a/common/motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp b/common/autoware_motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp
similarity index 91%
rename from common/motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp
rename to common/autoware_motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp
index 7aae860b76533..dc828e885af64 100644
--- a/common/motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp
+++ b/common/autoware_motion_utils/test/src/trajectory/benchmark_calcLateralOffset.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
 #include <gtest/gtest.h>
 #include <gtest/internal/gtest-port.h>
@@ -22,9 +22,9 @@
 
 namespace
 {
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
 using autoware_planning_msgs::msg::Trajectory;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
 
 constexpr double epsilon = 1e-6;
 
@@ -66,7 +66,7 @@ TEST(trajectory_benchmark, DISABLED_calcLateralOffset)
   std::default_random_engine e1(r());
   std::uniform_real_distribution<double> uniform_dist(0.0, 1000.0);
 
-  using motion_utils::calcLateralOffset;
+  using autoware::motion_utils::calcLateralOffset;
 
   const auto traj = generateTestTrajectory<Trajectory>(1000, 1.0, 0.0, 0.0, 0.1);
   constexpr auto nb_iteration = 10000;
diff --git a/common/motion_utils/test/src/trajectory/test_interpolation.cpp b/common/autoware_motion_utils/test/src/trajectory/test_interpolation.cpp
similarity index 97%
rename from common/motion_utils/test/src/trajectory/test_interpolation.cpp
rename to common/autoware_motion_utils/test/src/trajectory/test_interpolation.cpp
index 90b11e535c486..b4b60ff403048 100644
--- a/common/motion_utils/test/src/trajectory/test_interpolation.cpp
+++ b/common/autoware_motion_utils/test/src/trajectory/test_interpolation.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/interpolation.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 #include <gtest/internal/gtest-port.h>
@@ -27,11 +27,11 @@
 
 namespace
 {
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
+using autoware::universe_utils::transformPoint;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
-using tier4_autoware_utils::transformPoint;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
@@ -124,7 +124,7 @@ T generateTestPath(
 
 TEST(Interpolation, interpolate_path_for_trajectory)
 {
-  using motion_utils::calcInterpolatedPoint;
+  using autoware::motion_utils::calcInterpolatedPoint;
 
   {
     autoware_planning_msgs::msg::Trajectory traj;
@@ -348,7 +348,7 @@ TEST(Interpolation, interpolate_path_for_trajectory)
 
 TEST(Interpolation, interpolate_path_for_path)
 {
-  using motion_utils::calcInterpolatedPoint;
+  using autoware::motion_utils::calcInterpolatedPoint;
 
   {
     tier4_planning_msgs::msg::PathWithLaneId path;
@@ -540,7 +540,7 @@ TEST(Interpolation, interpolate_path_for_path)
 
 TEST(Interpolation, interpolate_points_with_length)
 {
-  using motion_utils::calcInterpolatedPose;
+  using autoware::motion_utils::calcInterpolatedPose;
 
   {
     autoware_planning_msgs::msg::Trajectory traj;
diff --git a/common/motion_utils/test/src/trajectory/test_path_with_lane_id.cpp b/common/autoware_motion_utils/test/src/trajectory/test_path_with_lane_id.cpp
similarity index 91%
rename from common/motion_utils/test/src/trajectory/test_path_with_lane_id.cpp
rename to common/autoware_motion_utils/test/src/trajectory/test_path_with_lane_id.cpp
index 6dd60c499d181..62e4ac74cb639 100644
--- a/common/motion_utils/test/src/trajectory/test_path_with_lane_id.cpp
+++ b/common/autoware_motion_utils/test/src/trajectory/test_path_with_lane_id.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <gtest/gtest.h>
 
@@ -22,7 +22,7 @@
 
 namespace
 {
-using tier4_autoware_utils::createPoint;
+using autoware::universe_utils::createPoint;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
@@ -31,7 +31,7 @@ geometry_msgs::msg::Pose createPose(
 {
   geometry_msgs::msg::Pose p;
   p.position = createPoint(x, y, z);
-  p.orientation = tier4_autoware_utils::createQuaternionFromRPY(roll, pitch, yaw);
+  p.orientation = autoware::universe_utils::createQuaternionFromRPY(roll, pitch, yaw);
   return p;
 }
 
@@ -54,7 +54,7 @@ PathWithLaneId generateTestPathWithLaneId(const size_t num_points, const double
 
 TEST(path_with_lane_id, getPathIndexRangeWithLaneId)
 {
-  using motion_utils::getPathIndexRangeWithLaneId;
+  using autoware::motion_utils::getPathIndexRangeWithLaneId;
   using tier4_planning_msgs::msg::PathWithLaneId;
 
   // Usual cases
@@ -99,8 +99,8 @@ TEST(path_with_lane_id, getPathIndexRangeWithLaneId)
 
 TEST(path_with_lane_id, findNearestIndexFromLaneId)
 {
-  using motion_utils::findNearestIndexFromLaneId;
-  using motion_utils::findNearestSegmentIndexFromLaneId;
+  using autoware::motion_utils::findNearestIndexFromLaneId;
+  using autoware::motion_utils::findNearestSegmentIndexFromLaneId;
 
   const auto path = generateTestPathWithLaneId(10, 1.0);
 
@@ -164,7 +164,7 @@ TEST(path_with_lane_id, findNearestIndexFromLaneId)
 // NOTE: This test is temporary for the current implementation.
 TEST(path_with_lane_id, convertToRearWheelCenter)
 {
-  using motion_utils::convertToRearWheelCenter;
+  using autoware::motion_utils::convertToRearWheelCenter;
 
   PathWithLaneId path;
 
diff --git a/common/motion_utils/test/src/trajectory/test_trajectory.cpp b/common/autoware_motion_utils/test/src/trajectory/test_trajectory.cpp
similarity index 95%
rename from common/motion_utils/test/src/trajectory/test_trajectory.cpp
rename to common/autoware_motion_utils/test/src/trajectory/test_trajectory.cpp
index 9ebc712b3bf1a..4ff9b2a33ca13 100644
--- a/common/motion_utils/test/src/trajectory/test_trajectory.cpp
+++ b/common/autoware_motion_utils/test/src/trajectory/test_trajectory.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 #include <gtest/internal/gtest-port.h>
@@ -28,9 +28,9 @@ namespace
 {
 using autoware_planning_msgs::msg::Trajectory;
 using TrajectoryPointArray = std::vector<autoware_planning_msgs::msg::TrajectoryPoint>;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
-using tier4_autoware_utils::transformPoint;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
+using autoware::universe_utils::transformPoint;
 
 constexpr double epsilon = 1e-6;
 
@@ -94,7 +94,7 @@ void updateTrajectoryVelocityAt(T & points, const size_t idx, const double vel)
 
 TEST(trajectory, validateNonEmpty)
 {
-  using motion_utils::validateNonEmpty;
+  using autoware::motion_utils::validateNonEmpty;
 
   // Empty
   EXPECT_THROW(validateNonEmpty(Trajectory{}.points), std::invalid_argument);
@@ -106,8 +106,8 @@ TEST(trajectory, validateNonEmpty)
 
 TEST(trajectory, validateNonSharpAngle_DefaultThreshold)
 {
+  using autoware::motion_utils::validateNonSharpAngle;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::validateNonSharpAngle;
 
   TrajectoryPoint p1;
   p1.pose = createPose(0.0, 0.0, 0.0, 0.0, 0.0, 0.0);
@@ -135,9 +135,9 @@ TEST(trajectory, validateNonSharpAngle_DefaultThreshold)
 
 TEST(trajectory, validateNonSharpAngle_SetThreshold)
 {
+  using autoware::motion_utils::validateNonSharpAngle;
+  using autoware::universe_utils::pi;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::validateNonSharpAngle;
-  using tier4_autoware_utils::pi;
 
   TrajectoryPoint p1;
   p1.pose = createPose(0.0, 0.0, 0.0, 0.0, 0.0, 0.0);
@@ -165,7 +165,7 @@ TEST(trajectory, validateNonSharpAngle_SetThreshold)
 
 TEST(trajectory, searchZeroVelocityIndex)
 {
-  using motion_utils::searchZeroVelocityIndex;
+  using autoware::motion_utils::searchZeroVelocityIndex;
 
   // Empty
   EXPECT_FALSE(searchZeroVelocityIndex(Trajectory{}.points));
@@ -244,7 +244,7 @@ TEST(trajectory, searchZeroVelocityIndex)
 
 TEST(trajectory, searchZeroVelocityIndex_from_pose)
 {
-  using motion_utils::searchZeroVelocityIndex;
+  using autoware::motion_utils::searchZeroVelocityIndex;
 
   // No zero velocity point
   {
@@ -307,7 +307,7 @@ TEST(trajectory, searchZeroVelocityIndex_from_pose)
 
 TEST(trajectory, findNearestIndex_Pos_StraightTrajectory)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -338,7 +338,7 @@ TEST(trajectory, findNearestIndex_Pos_StraightTrajectory)
 
 TEST(trajectory, findNearestIndex_Pos_CurvedTrajectory)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 0.0, 0.0, 0.1);
 
@@ -348,7 +348,7 @@ TEST(trajectory, findNearestIndex_Pos_CurvedTrajectory)
 
 TEST(trajectory, findNearestIndex_Pose_NoThreshold)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -374,7 +374,7 @@ TEST(trajectory, findNearestIndex_Pose_NoThreshold)
 
 TEST(trajectory, findNearestIndex_Pose_DistThreshold)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -390,7 +390,7 @@ TEST(trajectory, findNearestIndex_Pose_DistThreshold)
 
 TEST(trajectory, findNearestIndex_Pose_YawThreshold)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto max_d = std::numeric_limits<double>::max();
@@ -409,7 +409,7 @@ TEST(trajectory, findNearestIndex_Pose_YawThreshold)
 
 TEST(trajectory, findNearestIndex_Pose_DistAndYawThreshold)
 {
-  using motion_utils::findNearestIndex;
+  using autoware::motion_utils::findNearestIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -423,7 +423,7 @@ TEST(trajectory, findNearestIndex_Pose_DistAndYawThreshold)
 
 TEST(trajectory, findNearestSegmentIndex)
 {
-  using motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::findNearestSegmentIndex;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -463,7 +463,7 @@ TEST(trajectory, findNearestSegmentIndex)
 
 TEST(trajectory, calcLongitudinalOffsetToSegment_StraightTrajectory)
 {
-  using motion_utils::calcLongitudinalOffsetToSegment;
+  using autoware::motion_utils::calcLongitudinalOffsetToSegment;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const bool throw_exception = true;
@@ -513,7 +513,7 @@ TEST(trajectory, calcLongitudinalOffsetToSegment_StraightTrajectory)
 
 TEST(trajectory, calcLongitudinalOffsetToSegment_CurveTrajectory)
 {
-  using motion_utils::calcLongitudinalOffsetToSegment;
+  using autoware::motion_utils::calcLongitudinalOffsetToSegment;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 0.0, 0.0, 0.1);
 
@@ -525,7 +525,7 @@ TEST(trajectory, calcLongitudinalOffsetToSegment_CurveTrajectory)
 
 TEST(trajectory, calcLateralOffset)
 {
-  using motion_utils::calcLateralOffset;
+  using autoware::motion_utils::calcLateralOffset;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const bool throw_exception = true;
@@ -566,7 +566,7 @@ TEST(trajectory, calcLateralOffset)
 
 TEST(trajectory, calcLateralOffset_without_segment_idx)
 {
-  using motion_utils::calcLateralOffset;
+  using autoware::motion_utils::calcLateralOffset;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const bool throw_exception = true;
@@ -627,7 +627,7 @@ TEST(trajectory, calcLateralOffset_without_segment_idx)
 
 TEST(trajectory, calcLateralOffset_CurveTrajectory)
 {
-  using motion_utils::calcLateralOffset;
+  using autoware::motion_utils::calcLateralOffset;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 0.0, 0.0, 0.1);
 
@@ -638,7 +638,7 @@ TEST(trajectory, calcLateralOffset_CurveTrajectory)
 
 TEST(trajectory, calcSignedArcLengthFromIndexToIndex)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -661,7 +661,7 @@ TEST(trajectory, calcSignedArcLengthFromIndexToIndex)
 
 TEST(trajectory, calcSignedArcLengthFromPointToIndex)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -690,7 +690,7 @@ TEST(trajectory, calcSignedArcLengthFromPointToIndex)
 
 TEST(trajectory, calcSignedArcLengthFromIndexToPoint)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -719,7 +719,7 @@ TEST(trajectory, calcSignedArcLengthFromIndexToPoint)
 
 TEST(trajectory, calcSignedArcLengthFromPointToPoint)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -782,7 +782,7 @@ TEST(trajectory, calcSignedArcLengthFromPointToPoint)
 
 TEST(trajectory, calcArcLength)
 {
-  using motion_utils::calcArcLength;
+  using autoware::motion_utils::calcArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -795,7 +795,7 @@ TEST(trajectory, calcArcLength)
 
 TEST(trajectory, convertToTrajectory)
 {
-  using motion_utils::convertToTrajectory;
+  using autoware::motion_utils::convertToTrajectory;
 
   // Size check
   {
@@ -807,7 +807,7 @@ TEST(trajectory, convertToTrajectory)
 
 TEST(trajectory, convertToTrajectoryPointArray)
 {
-  using motion_utils::convertToTrajectoryPointArray;
+  using autoware::motion_utils::convertToTrajectoryPointArray;
 
   const auto traj_input = generateTestTrajectory<Trajectory>(100, 1.0);
   const auto traj = convertToTrajectoryPointArray(traj_input);
@@ -823,7 +823,7 @@ TEST(trajectory, convertToTrajectoryPointArray)
 
 TEST(trajectory, calcDistanceToForwardStopPointFromIndex)
 {
-  using motion_utils::calcDistanceToForwardStopPoint;
+  using autoware::motion_utils::calcDistanceToForwardStopPoint;
 
   auto traj_input = generateTestTrajectory<Trajectory>(100, 1.0, 3.0);
   traj_input.points.at(50).longitudinal_velocity_mps = 0.0;
@@ -881,7 +881,7 @@ TEST(trajectory, calcDistanceToForwardStopPointFromIndex)
 
 TEST(trajectory, calcDistanceToForwardStopPointFromPose)
 {
-  using motion_utils::calcDistanceToForwardStopPoint;
+  using autoware::motion_utils::calcDistanceToForwardStopPoint;
 
   auto traj_input = generateTestTrajectory<Trajectory>(100, 1.0, 3.0);
   traj_input.points.at(50).longitudinal_velocity_mps = 0.0;
@@ -965,7 +965,7 @@ TEST(trajectory, calcDistanceToForwardStopPointFromPose)
 
 TEST(trajectory, calcDistanceToForwardStopPoint_DistThreshold)
 {
-  using motion_utils::calcDistanceToForwardStopPoint;
+  using autoware::motion_utils::calcDistanceToForwardStopPoint;
 
   auto traj_input = generateTestTrajectory<Trajectory>(100, 1.0, 3.0);
   traj_input.points.at(50).longitudinal_velocity_mps = 0.0;
@@ -1009,8 +1009,8 @@ TEST(trajectory, calcDistanceToForwardStopPoint_DistThreshold)
 
 TEST(trajectory, calcDistanceToForwardStopPoint_YawThreshold)
 {
-  using motion_utils::calcDistanceToForwardStopPoint;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::motion_utils::calcDistanceToForwardStopPoint;
+  using autoware::universe_utils::deg2rad;
 
   const auto max_d = std::numeric_limits<double>::max();
   auto traj_input = generateTestTrajectory<Trajectory>(100, 1.0, 3.0);
@@ -1061,10 +1061,10 @@ TEST(trajectory, calcDistanceToForwardStopPoint_YawThreshold)
 
 TEST(trajectory, calcLongitudinalOffsetPointFromIndex)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPoint;
-  using motion_utils::calcSignedArcLength;
-  using tier4_autoware_utils::getPoint;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPoint;
+  using autoware::motion_utils::calcSignedArcLength;
+  using autoware::universe_utils::getPoint;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -1137,11 +1137,11 @@ TEST(trajectory, calcLongitudinalOffsetPointFromIndex)
 
 TEST(trajectory, calcLongitudinalOffsetPointFromPoint)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPoint;
-  using motion_utils::calcSignedArcLength;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::getPoint;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPoint;
+  using autoware::motion_utils::calcSignedArcLength;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::getPoint;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -1215,10 +1215,10 @@ TEST(trajectory, calcLongitudinalOffsetPointFromPoint)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromIndex)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using motion_utils::calcSignedArcLength;
-  using tier4_autoware_utils::getPoint;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::motion_utils::calcSignedArcLength;
+  using autoware::universe_utils::getPoint;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -1299,10 +1299,10 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromIndex)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromIndex_quatInterpolation)
 {
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::universe_utils::deg2rad;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using tier4_autoware_utils::deg2rad;
 
   Trajectory traj{};
 
@@ -1385,10 +1385,10 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromIndex_quatInterpolation)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromIndex_quatSphericalInterpolation)
 {
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::universe_utils::deg2rad;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using tier4_autoware_utils::deg2rad;
 
   Trajectory traj{};
 
@@ -1477,11 +1477,11 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromIndex_quatSphericalInterpolation)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromPoint)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using motion_utils::calcSignedArcLength;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::getPoint;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::motion_utils::calcSignedArcLength;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::getPoint;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -1563,12 +1563,12 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromPoint)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromPoint_quatInterpolation)
 {
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::motion_utils::calcLongitudinalOffsetToSegment;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using motion_utils::calcLongitudinalOffsetToSegment;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
 
   Trajectory traj{};
 
@@ -1637,12 +1637,12 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromPoint_quatInterpolation)
 
 TEST(trajectory, calcLongitudinalOffsetPoseFromPoint_quatSphericalInterpolation)
 {
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::calcLongitudinalOffsetPose;
+  using autoware::motion_utils::calcLongitudinalOffsetToSegment;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::calcArcLength;
-  using motion_utils::calcLongitudinalOffsetPose;
-  using motion_utils::calcLongitudinalOffsetToSegment;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
 
   Trajectory traj{};
 
@@ -1715,13 +1715,13 @@ TEST(trajectory, calcLongitudinalOffsetPoseFromPoint_quatSphericalInterpolation)
 
 TEST(trajectory, insertTargetPoint)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -1928,19 +1928,19 @@ TEST(trajectory, insertTargetPoint)
 
 TEST(trajectory, insertTargetPoint_Reverse)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternionFromYaw;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   constexpr double overlap_threshold = 1e-4;
   auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   for (size_t i = 0; i < traj.points.size(); ++i) {
-    traj.points.at(i).pose.orientation = createQuaternionFromYaw(tier4_autoware_utils::pi);
+    traj.points.at(i).pose.orientation = createQuaternionFromYaw(autoware::universe_utils::pi);
   }
   const auto total_length = calcArcLength(traj.points);
 
@@ -1986,13 +1986,13 @@ TEST(trajectory, insertTargetPoint_Reverse)
 
 TEST(trajectory, insertTargetPoint_OverlapThreshold)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   constexpr double overlap_threshold = 1e-4;
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
@@ -2079,13 +2079,13 @@ TEST(trajectory, insertTargetPoint_OverlapThreshold)
 
 TEST(trajectory, insertTargetPoint_Length)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -2317,13 +2317,13 @@ TEST(trajectory, insertTargetPoint_Length)
 
 TEST(trajectory, insertTargetPoint_Length_Without_Target_Point)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -2503,13 +2503,13 @@ TEST(trajectory, insertTargetPoint_Length_Without_Target_Point)
 
 TEST(trajectory, insertTargetPoint_Length_Without_Target_Point_Non_Zero_Start_Idx)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -2733,13 +2733,13 @@ TEST(trajectory, insertTargetPoint_Length_Without_Target_Point_Non_Zero_Start_Id
 
 TEST(trajectory, insertTargetPoint_Negative_Length_Without_Target_Point_Non_Zero_Start_Idx)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -2920,13 +2920,13 @@ TEST(trajectory, insertTargetPoint_Negative_Length_Without_Target_Point_Non_Zero
 
 TEST(trajectory, insertTargetPoint_Length_from_a_pose)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertTargetPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertTargetPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
   const auto total_length = calcArcLength(traj.points);
@@ -3272,13 +3272,13 @@ TEST(trajectory, insertTargetPoint_Length_from_a_pose)
 
 TEST(trajectory, insertStopPoint_from_a_source_index)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertStopPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertStopPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 10.0);
 
@@ -3527,13 +3527,13 @@ TEST(trajectory, insertStopPoint_from_a_source_index)
 
 TEST(trajectory, insertStopPoint_from_front_point)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertStopPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertStopPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 10.0);
 
@@ -3724,13 +3724,13 @@ TEST(trajectory, insertStopPoint_from_front_point)
 
 TEST(trajectory, insertStopPoint_from_a_pose)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertStopPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertStopPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 10.0);
   const auto total_length = calcArcLength(traj.points);
@@ -4110,13 +4110,13 @@ TEST(trajectory, insertStopPoint_from_a_pose)
 
 TEST(trajectory, insertStopPoint_with_pose_and_segment_index)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertStopPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getPose;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertStopPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getPose;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 3.0);
   const auto total_length = calcArcLength(traj.points);
@@ -4354,12 +4354,12 @@ TEST(trajectory, insertStopPoint_with_pose_and_segment_index)
 
 TEST(trajectory, insertDecelPoint_from_a_point)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::findNearestSegmentIndex;
-  using motion_utils::insertDecelPoint;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::getLongitudinalVelocity;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::findNearestSegmentIndex;
+  using autoware::motion_utils::insertDecelPoint;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::getLongitudinalVelocity;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 10.0);
   const auto total_length = calcArcLength(traj.points);
@@ -4444,9 +4444,9 @@ TEST(trajectory, insertDecelPoint_from_a_point)
 
 TEST(trajectory, findFirstNearestIndexWithSoftConstraints)
 {
-  using motion_utils::findFirstNearestIndexWithSoftConstraints;
-  using motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
-  using tier4_autoware_utils::pi;
+  using autoware::motion_utils::findFirstNearestIndexWithSoftConstraints;
+  using autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
+  using autoware::universe_utils::pi;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -4970,7 +4970,7 @@ TEST(trajectory, findFirstNearestIndexWithSoftConstraints)
 
 TEST(trajectory, calcSignedArcLengthFromPointAndSegmentIndexToPointAndSegmentIndex)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -5040,7 +5040,7 @@ TEST(trajectory, calcSignedArcLengthFromPointAndSegmentIndexToPointAndSegmentInd
 
 TEST(trajectory, calcSignedArcLengthFromPointAndSegmentIndexToPointIndex)
 {
-  using motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::calcSignedArcLength;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0);
 
@@ -5119,7 +5119,7 @@ TEST(trajectory, calcSignedArcLengthFromPointAndSegmentIndexToPointIndex)
 
 TEST(trajectory, removeOverlapPoints)
 {
-  using motion_utils::removeOverlapPoints;
+  using autoware::motion_utils::removeOverlapPoints;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 1.0);
   const auto removed_traj = removeOverlapPoints(traj.points, 0);
@@ -5246,101 +5246,101 @@ TEST(trajectory, removeOverlapPoints)
 
 TEST(trajectory, cropForwardPoints)
 {
-  using motion_utils::cropForwardPoints;
+  using autoware::motion_utils::cropForwardPoints;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 1.0);
 
   {  // Normal case
     const auto cropped_traj_points =
-      cropForwardPoints(traj.points, tier4_autoware_utils::createPoint(1.5, 1.5, 0.0), 1, 4.8);
+      cropForwardPoints(traj.points, autoware::universe_utils::createPoint(1.5, 1.5, 0.0), 1, 4.8);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(7));
   }
 
   {  // Forward length is longer than points arc length.
     const auto cropped_traj_points =
-      cropForwardPoints(traj.points, tier4_autoware_utils::createPoint(1.5, 1.5, 0.0), 1, 10.0);
+      cropForwardPoints(traj.points, autoware::universe_utils::createPoint(1.5, 1.5, 0.0), 1, 10.0);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(10));
   }
 
   {  // Point is on the previous segment
     const auto cropped_traj_points =
-      cropForwardPoints(traj.points, tier4_autoware_utils::createPoint(1.0, 1.0, 0.0), 0, 2.5);
+      cropForwardPoints(traj.points, autoware::universe_utils::createPoint(1.0, 1.0, 0.0), 0, 2.5);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 
   {  // Point is on the next segment
     const auto cropped_traj_points =
-      cropForwardPoints(traj.points, tier4_autoware_utils::createPoint(1.0, 1.0, 0.0), 1, 2.5);
+      cropForwardPoints(traj.points, autoware::universe_utils::createPoint(1.0, 1.0, 0.0), 1, 2.5);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 }
 
 TEST(trajectory, cropBackwardPoints)
 {
-  using motion_utils::cropBackwardPoints;
+  using autoware::motion_utils::cropBackwardPoints;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 1.0);
 
   {  // Normal case
     const auto cropped_traj_points =
-      cropBackwardPoints(traj.points, tier4_autoware_utils::createPoint(8.5, 8.5, 0.0), 8, 4.8);
+      cropBackwardPoints(traj.points, autoware::universe_utils::createPoint(8.5, 8.5, 0.0), 8, 4.8);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(6));
   }
 
   {  // Backward length is longer than points arc length.
-    const auto cropped_traj_points =
-      cropBackwardPoints(traj.points, tier4_autoware_utils::createPoint(8.5, 8.5, 0.0), 8, 10.0);
+    const auto cropped_traj_points = cropBackwardPoints(
+      traj.points, autoware::universe_utils::createPoint(8.5, 8.5, 0.0), 8, 10.0);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(10));
   }
 
   {  // Point is on the previous segment
     const auto cropped_traj_points =
-      cropBackwardPoints(traj.points, tier4_autoware_utils::createPoint(8.0, 8.0, 0.0), 7, 2.5);
+      cropBackwardPoints(traj.points, autoware::universe_utils::createPoint(8.0, 8.0, 0.0), 7, 2.5);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 
   {  // Point is on the next segment
     const auto cropped_traj_points =
-      cropBackwardPoints(traj.points, tier4_autoware_utils::createPoint(8.0, 8.0, 0.0), 8, 2.5);
+      cropBackwardPoints(traj.points, autoware::universe_utils::createPoint(8.0, 8.0, 0.0), 8, 2.5);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 }
 
 TEST(trajectory, cropPoints)
 {
-  using motion_utils::cropPoints;
+  using autoware::motion_utils::cropPoints;
 
   const auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 1.0);
 
   {  // Normal case
     const auto cropped_traj_points =
-      cropPoints(traj.points, tier4_autoware_utils::createPoint(3.5, 3.5, 0.0), 3, 2.3, 1.2);
+      cropPoints(traj.points, autoware::universe_utils::createPoint(3.5, 3.5, 0.0), 3, 2.3, 1.2);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(3));
   }
 
   {  // Length is longer than points arc length.
     const auto cropped_traj_points =
-      cropPoints(traj.points, tier4_autoware_utils::createPoint(3.5, 3.5, 0.0), 3, 10.0, 10.0);
+      cropPoints(traj.points, autoware::universe_utils::createPoint(3.5, 3.5, 0.0), 3, 10.0, 10.0);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(10));
   }
 
   {  // Point is on the previous segment
     const auto cropped_traj_points =
-      cropPoints(traj.points, tier4_autoware_utils::createPoint(3.0, 3.0, 0.0), 2, 2.2, 1.9);
+      cropPoints(traj.points, autoware::universe_utils::createPoint(3.0, 3.0, 0.0), 2, 2.2, 1.9);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 
   {  // Point is on the next segment
     const auto cropped_traj_points =
-      cropPoints(traj.points, tier4_autoware_utils::createPoint(3.0, 3.0, 0.0), 3, 2.2, 1.9);
+      cropPoints(traj.points, autoware::universe_utils::createPoint(3.0, 3.0, 0.0), 3, 2.2, 1.9);
     EXPECT_EQ(cropped_traj_points.size(), static_cast<size_t>(4));
   }
 }
 
 TEST(Trajectory, removeFirstInvalidOrientationPoints)
 {
-  using motion_utils::insertOrientation;
-  using motion_utils::removeFirstInvalidOrientationPoints;
+  using autoware::motion_utils::insertOrientation;
+  using autoware::motion_utils::removeFirstInvalidOrientationPoints;
 
   const double max_yaw_diff = M_PI_2;
 
@@ -5357,7 +5357,7 @@ TEST(Trajectory, removeFirstInvalidOrientationPoints)
       EXPECT_EQ(traj.points.at(i), modified_traj.points.at(i));
       const double yaw1 = tf2::getYaw(modified_traj.points.at(i).pose.orientation);
       const double yaw2 = tf2::getYaw(modified_traj.points.at(i + 1).pose.orientation);
-      const double yaw_diff = std::abs(tier4_autoware_utils::normalizeRadian(yaw1 - yaw2));
+      const double yaw_diff = std::abs(autoware::universe_utils::normalizeRadian(yaw1 - yaw2));
       EXPECT_LE(yaw_diff, max_yaw_diff);
     }
   };
@@ -5365,8 +5365,7 @@ TEST(Trajectory, removeFirstInvalidOrientationPoints)
   auto traj = generateTestTrajectory<Trajectory>(10, 1.0, 1.0);
 
   // no invalid points
-  testRemoveInvalidOrientationPoints(
-    traj, [](Trajectory &) {}, traj.points.size());
+  testRemoveInvalidOrientationPoints(traj, [](Trajectory &) {}, traj.points.size());
 
   // invalid point at the end
   testRemoveInvalidOrientationPoints(
@@ -5393,8 +5392,8 @@ TEST(Trajectory, removeFirstInvalidOrientationPoints)
 
 TEST(trajectory, calcYawDeviation)
 {
+  using autoware::motion_utils::calcYawDeviation;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::calcYawDeviation;
 
   constexpr double tolerance = 1e-3;
 
@@ -5420,9 +5419,9 @@ TEST(trajectory, calcYawDeviation)
 
 TEST(trajectory, isTargetPointFront)
 {
+  using autoware::motion_utils::isTargetPointFront;
+  using autoware::universe_utils::createPoint;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using motion_utils::isTargetPointFront;
-  using tier4_autoware_utils::createPoint;
 
   // Generate test trajectory
   const auto trajectory = generateTestTrajectory<Trajectory>(10, 1.0);
diff --git a/common/motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp b/common/autoware_motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp
similarity index 98%
rename from common/motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp
rename to common/autoware_motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp
index 540aef70cc1f4..b2d2f3a2e8003 100644
--- a/common/motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp
+++ b/common/autoware_motion_utils/test/src/vehicle/test_vehicle_state_checker.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/vehicle/vehicle_state_checker.hpp"
+#include "autoware/motion_utils/vehicle/vehicle_state_checker.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "test_vehicle_state_checker_helper.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -32,12 +32,12 @@ constexpr double STOP_DURATION_THRESHOLD_600_MS = 0.6;
 constexpr double STOP_DURATION_THRESHOLD_800_MS = 0.8;
 constexpr double STOP_DURATION_THRESHOLD_1000_MS = 1.0;
 
-using motion_utils::VehicleArrivalChecker;
-using motion_utils::VehicleStopChecker;
+using autoware::motion_utils::VehicleArrivalChecker;
+using autoware::motion_utils::VehicleStopChecker;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternion;
+using autoware::universe_utils::createTranslation;
 using nav_msgs::msg::Odometry;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternion;
-using tier4_autoware_utils::createTranslation;
 
 class CheckerNode : public rclcpp::Node
 {
diff --git a/common/motion_utils/test/src/vehicle/test_vehicle_state_checker_helper.hpp b/common/autoware_motion_utils/test/src/vehicle/test_vehicle_state_checker_helper.hpp
similarity index 100%
rename from common/motion_utils/test/src/vehicle/test_vehicle_state_checker_helper.hpp
rename to common/autoware_motion_utils/test/src/vehicle/test_vehicle_state_checker_helper.hpp
diff --git a/common/autoware_test_utils/CMakeLists.txt b/common/autoware_test_utils/CMakeLists.txt
index 91adf935445b4..6a12539d06cbf 100644
--- a/common/autoware_test_utils/CMakeLists.txt
+++ b/common/autoware_test_utils/CMakeLists.txt
@@ -15,11 +15,10 @@ target_link_libraries(mock_data_parser
 )
 
 if(BUILD_TESTING)
-  ament_add_ros_isolated_gtest(test_mock_data_parser
-    test/test_mock_data_parser.cpp)
-
-  target_link_libraries(test_mock_data_parser
-    mock_data_parser)
+  ament_auto_add_gtest(test_autoware_test_utils
+    test/test_mock_data_parser.cpp
+    test/test_autoware_test_manager.cpp
+  )
 endif()
 
 ament_auto_package(INSTALL_TO_SHARE
diff --git a/common/autoware_test_utils/include/autoware_test_utils/autoware_test_utils.hpp b/common/autoware_test_utils/include/autoware_test_utils/autoware_test_utils.hpp
index 6b77bb4c24931..d7de1397bfaac 100644
--- a/common/autoware_test_utils/include/autoware_test_utils/autoware_test_utils.hpp
+++ b/common/autoware_test_utils/include/autoware_test_utils/autoware_test_utils.hpp
@@ -15,15 +15,12 @@
 #ifndef AUTOWARE_TEST_UTILS__AUTOWARE_TEST_UTILS_HPP_
 #define AUTOWARE_TEST_UTILS__AUTOWARE_TEST_UTILS_HPP_
 
-#include "ament_index_cpp/get_package_share_directory.hpp"
-#include "rclcpp/rclcpp.hpp"
-
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <component_interface_specs/planning.hpp>
 #include <lanelet2_extension/io/autoware_osm_parser.hpp>
 #include <lanelet2_extension/projection/mgrs_projector.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/operation_mode_state.hpp>
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
@@ -51,7 +48,7 @@
 #include <limits>
 #include <memory>
 #include <string>
-#include <utility>
+#include <unordered_map>
 #include <vector>
 
 namespace autoware::test_utils
@@ -66,6 +63,8 @@ using autoware_planning_msgs::msg::Trajectory;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using RouteSections = std::vector<autoware_planning_msgs::msg::LaneletSegment>;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::PoseStamped;
@@ -74,8 +73,6 @@ using nav_msgs::msg::OccupancyGrid;
 using nav_msgs::msg::Odometry;
 using sensor_msgs::msg::PointCloud2;
 using tf2_msgs::msg::TFMessage;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
 using tier4_planning_msgs::msg::Scenario;
 using unique_identifier_msgs::msg::UUID;
 
@@ -174,6 +171,45 @@ LaneletRoute makeNormalRoute();
  */
 OccupancyGrid makeCostMapMsg(size_t width = 150, size_t height = 150, double resolution = 0.2);
 
+/**
+ * @brief Get the absolute path to the lanelet map file.
+ *
+ * This function retrieves the absolute path to a lanelet map file located in the
+ * package's share directory under the "test_map" folder.
+ *
+ * @param package_name The name of the package containing the map file.
+ * @param map_filename The name of the map file.
+ * @return A string representing the absolute path to the lanelet map file.
+ */
+std::string get_absolute_path_to_lanelet_map(
+  const std::string & package_name, const std::string & map_filename);
+
+/**
+ * @brief Get the absolute path to the route file.
+ *
+ * This function retrieves the absolute path to a route file located in the
+ * package's share directory under the "test_route" folder.
+ *
+ * @param package_name The name of the package containing the route file.
+ * @param route_filename The name of the route file.
+ * @return A string representing the absolute path to the route file.
+ */
+std::string get_absolute_path_to_route(
+  const std::string & package_name, const std::string & route_filename);
+
+/**
+ * @brief Get the absolute path to the config file.
+ *
+ * This function retrieves the absolute path to a route file located in the
+ * package's share directory under the "config" folder.
+ *
+ * @param package_name The name of the package containing the route file.
+ * @param route_filename The name of the config file.
+ * @return A string representing the absolute path to the config file.
+ */
+std::string get_absolute_path_to_config(
+  const std::string & package_name, const std::string & config_filename);
+
 /**
  * @brief Creates a LaneletMapBin message from a Lanelet map file.
  *
@@ -477,6 +513,62 @@ void publishToTargetNode(
   autoware::test_utils::spinSomeNodes(test_node, target_node, repeat_count);
 }
 
+/**
+ * @brief Manages publishing and subscribing to ROS topics for testing Autoware.
+ *
+ * The AutowareTestManager class provides utility functions to facilitate
+ * the publishing of messages to specified topics and the setting up of
+ * subscribers to listen for messages on specified topics. This class
+ * simplifies the setup of test environments in Autoware.
+ */
+class AutowareTestManager
+{
+public:
+  AutowareTestManager()
+  {
+    test_node_ = std::make_shared<rclcpp::Node>("autoware_test_manager_node");
+  }
+
+  template <typename MessageType>
+  void test_pub_msg(
+    rclcpp::Node::SharedPtr target_node, const std::string & topic_name, MessageType & msg)
+  {
+    if (publishers_.find(topic_name) == publishers_.end()) {
+      auto publisher = test_node_->create_publisher<MessageType>(topic_name, 10);
+      publishers_[topic_name] = std::static_pointer_cast<rclcpp::PublisherBase>(publisher);
+    }
+
+    auto publisher =
+      std::dynamic_pointer_cast<rclcpp::Publisher<MessageType>>(publishers_[topic_name]);
+
+    autoware::test_utils::publishToTargetNode(test_node_, target_node, topic_name, publisher, msg);
+    RCLCPP_INFO(test_node_->get_logger(), "Published message on topic '%s'", topic_name.c_str());
+  }
+
+  template <typename MessageType>
+  void set_subscriber(
+    const std::string & topic_name,
+    std::function<void(const typename MessageType::ConstSharedPtr)> callback)
+  {
+    if (subscribers_.find(topic_name) == subscribers_.end()) {
+      std::shared_ptr<rclcpp::Subscription<MessageType>> subscriber;
+      autoware::test_utils::createSubscription<MessageType>(
+        test_node_, topic_name, callback, subscriber);
+      subscribers_[topic_name] = std::static_pointer_cast<rclcpp::SubscriptionBase>(subscriber);
+    } else {
+      RCLCPP_WARN(test_node_->get_logger(), "Subscriber %s already set.", topic_name.c_str());
+    }
+  }
+
+protected:
+  // Publisher
+  std::unordered_map<std::string, std::shared_ptr<rclcpp::PublisherBase>> publishers_;
+  std::unordered_map<std::string, std::shared_ptr<rclcpp::SubscriptionBase>> subscribers_;
+
+  // Node
+  rclcpp::Node::SharedPtr test_node_;
+};  // class AutowareTestManager
+
 }  // namespace autoware::test_utils
 
 #endif  // AUTOWARE_TEST_UTILS__AUTOWARE_TEST_UTILS_HPP_
diff --git a/common/autoware_test_utils/package.xml b/common/autoware_test_utils/package.xml
index 555345c1d9105..778b9a42ca207 100644
--- a/common/autoware_test_utils/package.xml
+++ b/common/autoware_test_utils/package.xml
@@ -19,6 +19,7 @@
   <depend>autoware_map_msgs</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>component_interface_specs</depend>
   <depend>component_interface_utils</depend>
@@ -29,7 +30,6 @@
   <depend>tf2_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tier4_api_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>tier4_v2x_msgs</depend>
   <depend>unique_identifier_msgs</depend>
diff --git a/common/autoware_test_utils/src/autoware_test_utils.cpp b/common/autoware_test_utils/src/autoware_test_utils.cpp
index c7435be5afcec..563350dbe53cc 100644
--- a/common/autoware_test_utils/src/autoware_test_utils.cpp
+++ b/common/autoware_test_utils/src/autoware_test_utils.cpp
@@ -12,7 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_test_utils/autoware_test_utils.hpp"
+#include <ament_index_cpp/get_package_share_directory.hpp>
+#include <autoware_test_utils/autoware_test_utils.hpp>
+#include <rclcpp/clock.hpp>
+#include <rclcpp/executors/single_threaded_executor.hpp>
+#include <rclcpp/logging.hpp>
+#include <rclcpp/node.hpp>
+
+#include <utility>
+
 namespace autoware::test_utils
 {
 
@@ -103,6 +111,27 @@ OccupancyGrid makeCostMapMsg(size_t width, size_t height, double resolution)
   return costmap_msg;
 }
 
+std::string get_absolute_path_to_lanelet_map(
+  const std::string & package_name, const std::string & map_filename)
+{
+  const auto dir = ament_index_cpp::get_package_share_directory(package_name);
+  return dir + "/test_map/" + map_filename;
+}
+
+std::string get_absolute_path_to_route(
+  const std::string & package_name, const std::string & route_filename)
+{
+  const auto dir = ament_index_cpp::get_package_share_directory(package_name);
+  return dir + "/test_route/" + route_filename;
+}
+
+std::string get_absolute_path_to_config(
+  const std::string & package_name, const std::string & config_filename)
+{
+  const auto dir = ament_index_cpp::get_package_share_directory(package_name);
+  return dir + "/config/" + config_filename;
+}
+
 LaneletMapBin make_map_bin_msg(
   const std::string & absolute_path, const double center_line_resolution)
 {
@@ -122,12 +151,8 @@ LaneletMapBin make_map_bin_msg(
 
 LaneletMapBin makeMapBinMsg()
 {
-  const auto autoware_test_utils_dir =
-    ament_index_cpp::get_package_share_directory("autoware_test_utils");
-  const auto lanelet2_path = autoware_test_utils_dir + "/test_map/lanelet2_map.osm";
-  double center_line_resolution = 5.0;
-
-  return make_map_bin_msg(lanelet2_path, center_line_resolution);
+  return make_map_bin_msg(
+    get_absolute_path_to_lanelet_map("autoware_test_utils", "lanelet2_map.osm"));
 }
 
 Odometry makeOdometry(const double shift)
@@ -251,9 +276,8 @@ void updateNodeOptions(
 
 PathWithLaneId loadPathWithLaneIdInYaml()
 {
-  const auto autoware_test_utils_dir =
-    ament_index_cpp::get_package_share_directory("autoware_test_utils");
-  const auto yaml_path = autoware_test_utils_dir + "/config/path_with_lane_id_data.yaml";
+  const auto yaml_path =
+    get_absolute_path_to_config("autoware_test_utils", "path_with_lane_id_data.yaml");
   YAML::Node yaml_node = YAML::LoadFile(yaml_path);
   PathWithLaneId path_msg;
 
diff --git a/common/autoware_test_utils/test/test_autoware_test_manager.cpp b/common/autoware_test_utils/test/test_autoware_test_manager.cpp
new file mode 100644
index 0000000000000..688ec9df9ad42
--- /dev/null
+++ b/common/autoware_test_utils/test/test_autoware_test_manager.cpp
@@ -0,0 +1,71 @@
+// Copyright 2024 TIER IV
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "autoware_test_utils/autoware_test_utils.hpp"
+
+#include <rclcpp/rclcpp.hpp>
+
+#include <std_msgs/msg/string.hpp>
+
+#include <gtest/gtest.h>
+
+class RelayNode : public rclcpp::Node
+{
+public:
+  RelayNode() : Node("relay_node")
+  {
+    subscription_ = this->create_subscription<std_msgs::msg::String>(
+      "input_topic", 10, [this](const std_msgs::msg::String::ConstSharedPtr msg) {
+        RCLCPP_INFO(this->get_logger(), "Received message: %s", msg->data.c_str());
+        auto new_msg = std::make_shared<std_msgs::msg::String>();
+        new_msg->data = msg->data;
+        publisher_->publish(*new_msg);
+      });
+
+    publisher_ = this->create_publisher<std_msgs::msg::String>("output_topic", 10);
+  }
+
+private:
+  rclcpp::Subscription<std_msgs::msg::String>::SharedPtr subscription_;
+  rclcpp::Publisher<std_msgs::msg::String>::SharedPtr publisher_;
+};
+
+TEST(AutowareTestManagerTest, TestRelayNode)
+{
+  rclcpp::init(0, nullptr);
+
+  const std::string input_topic_name = "input_topic";
+  const std::string output_topic_name = "output_topic";
+
+  // Setup target node and its test manager
+  auto target_node = std::make_shared<RelayNode>();
+  auto manager = std::make_shared<autoware::test_utils::AutowareTestManager>();
+
+  // Setup subscriber for test manager
+  std::string received_msg;
+  manager->set_subscriber<std_msgs::msg::String>(
+    "output_topic",
+    [&received_msg](const std_msgs::msg::String::ConstSharedPtr msg) { received_msg = msg->data; });
+
+  // Publish a message to the relay node
+  std_msgs::msg::String msg;
+  msg.data = "Hello, Relay!";
+  manager->test_pub_msg<std_msgs::msg::String>(target_node, input_topic_name, msg);
+
+  // Spin to process callbacks
+  rclcpp::spin_some(target_node);
+
+  // Check that the message was relayed and received by the test node
+  EXPECT_EQ(received_msg, "Hello, Relay!");
+}
diff --git a/common/autoware_test_utils/test_map/overlap_map.osm b/common/autoware_test_utils/test_map/overlap_map.osm
new file mode 100644
index 0000000000000..d4fec4f72aeaa
--- /dev/null
+++ b/common/autoware_test_utils/test_map/overlap_map.osm
@@ -0,0 +1,974 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<osm generator="VMB">
+  <MetaInfo format_version="1" map_version="3"/>
+  <node id="162" lat="34.9872342562183" lon="138.84960721644543">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3726.718"/>
+    <tag k="local_y" v="73739.9093"/>
+    <tag k="ele" v="19.455"/>
+  </node>
+  <node id="163" lat="34.98721011765842" lon="138.84962348745134">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3728.1457"/>
+    <tag k="local_y" v="73737.1998"/>
+    <tag k="ele" v="19.439"/>
+  </node>
+  <node id="165" lat="34.9872473713738" lon="138.84963594834815">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3729.3722"/>
+    <tag k="local_y" v="73741.3076"/>
+    <tag k="ele" v="19.455"/>
+  </node>
+  <node id="166" lat="34.987223232771086" lon="138.84965221715873">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3730.7997"/>
+    <tag k="local_y" v="73738.5981"/>
+    <tag k="ele" v="19.439"/>
+  </node>
+  <node id="169" lat="34.987189675406476" lon="138.8496372682262">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3729.3549"/>
+    <tag k="local_y" v="73734.9052"/>
+    <tag k="ele" v="19.4003"/>
+  </node>
+  <node id="170" lat="34.987202788635926" lon="138.84966599359646">
+    <tag k="mgrs_code" v="54SUD037737"/>
+    <tag k="local_x" v="3732.0085"/>
+    <tag k="local_y" v="73736.3033"/>
+    <tag k="ele" v="19.4003"/>
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+    <tag k="location" v="urban"/>
+    <tag k="one_way" v="yes"/>
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+    <member type="way" role="left" ref="344"/>
+    <member type="way" role="right" ref="343"/>
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+    <tag k="subtype" v="road"/>
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diff --git a/common/tier4_autoware_utils/CMakeLists.txt b/common/autoware_universe_utils/CMakeLists.txt
similarity index 69%
rename from common/tier4_autoware_utils/CMakeLists.txt
rename to common/autoware_universe_utils/CMakeLists.txt
index 9cb54e52362a5..9e86ddeb60692 100644
--- a/common/tier4_autoware_utils/CMakeLists.txt
+++ b/common/autoware_universe_utils/CMakeLists.txt
@@ -1,12 +1,12 @@
 cmake_minimum_required(VERSION 3.14)
-project(tier4_autoware_utils)
+project(autoware_universe_utils)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
 
 find_package(Boost REQUIRED)
 
-ament_auto_add_library(tier4_autoware_utils SHARED
+ament_auto_add_library(autoware_universe_utils SHARED
   src/geometry/geometry.cpp
   src/geometry/pose_deviation.cpp
   src/geometry/boost_polygon_utils.cpp
@@ -23,10 +23,10 @@ if(BUILD_TESTING)
 
   file(GLOB_RECURSE test_files test/**/*.cpp)
 
-  ament_add_ros_isolated_gtest(test_tier4_autoware_utils ${test_files})
+  ament_add_ros_isolated_gtest(test_autoware_universe_utils ${test_files})
 
-  target_link_libraries(test_tier4_autoware_utils
-    tier4_autoware_utils
+  target_link_libraries(test_autoware_universe_utils
+    autoware_universe_utils
   )
 endif()
 
diff --git a/common/autoware_universe_utils/README.md b/common/autoware_universe_utils/README.md
new file mode 100644
index 0000000000000..22b9355b09635
--- /dev/null
+++ b/common/autoware_universe_utils/README.md
@@ -0,0 +1,9 @@
+# autoware_universe_utils
+
+## Purpose
+
+This package contains many common functions used by other packages, so please refer to them as needed.
+
+## For developers
+
+`autoware_universe_utils.hpp` header file was removed because the source files that directly/indirectly include this file took a long time for preprocessing.
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_geometry.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_geometry.hpp
similarity index 84%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_geometry.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_geometry.hpp
index d986d0f23fc85..a0e24c68b7918 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_geometry.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_geometry.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
-#define TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
 
 #include <boost/geometry/core/cs.hpp>
 #include <boost/geometry/geometries/geometries.hpp>
@@ -25,7 +25,7 @@
 
 #include <geometry_msgs/msg/point.hpp>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 // 2D
 struct Point2d;
@@ -93,12 +93,12 @@ inline Point3d fromMsg(const geometry_msgs::msg::Point & msg)
   point.z() = msg.z;
   return point;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-BOOST_GEOMETRY_REGISTER_POINT_2D(                                       // NOLINT
-  tier4_autoware_utils::Point2d, double, cs::cartesian, x(), y())       // NOLINT
-BOOST_GEOMETRY_REGISTER_POINT_3D(                                       // NOLINT
-  tier4_autoware_utils::Point3d, double, cs::cartesian, x(), y(), z())  // NOLINT
-BOOST_GEOMETRY_REGISTER_RING(tier4_autoware_utils::LinearRing2d)        // NOLINT
+BOOST_GEOMETRY_REGISTER_POINT_2D(                                           // NOLINT
+  autoware::universe_utils::Point2d, double, cs::cartesian, x(), y())       // NOLINT
+BOOST_GEOMETRY_REGISTER_POINT_3D(                                           // NOLINT
+  autoware::universe_utils::Point3d, double, cs::cartesian, x(), y(), z())  // NOLINT
+BOOST_GEOMETRY_REGISTER_RING(autoware::universe_utils::LinearRing2d)        // NOLINT
 
-#endif  // TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_GEOMETRY_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_polygon_utils.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_polygon_utils.hpp
similarity index 85%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_polygon_utils.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_polygon_utils.hpp
index 665e959ed2460..1313ec558fe01 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/boost_polygon_utils.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/boost_polygon_utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
-#define TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 #include <autoware_perception_msgs/msg/detected_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -24,7 +24,7 @@
 
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 bool isClockwise(const Polygon2d & polygon);
 Polygon2d inverseClockwise(const Polygon2d & polygon);
@@ -47,6 +47,6 @@ Polygon2d toFootprint(
   const double base_to_rear, const double width);
 double getArea(const autoware_perception_msgs::msg::Shape & shape);
 Polygon2d expandPolygon(const Polygon2d & input_polygon, const double offset);
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__GEOMETRY__BOOST_POLYGON_UTILS_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/geometry.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/geometry.hpp
similarity index 97%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/geometry.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/geometry/geometry.hpp
index 334df8f32af91..87c06dfd9cf08 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/geometry.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/geometry.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__GEOMETRY__GEOMETRY_HPP_
-#define TIER4_AUTOWARE_UTILS__GEOMETRY__GEOMETRY_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__GEOMETRY__GEOMETRY_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__GEOMETRY__GEOMETRY_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/math/normalization.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
 
 #include <exception>
 #include <string>
@@ -96,7 +96,7 @@ inline void doTransform(
 #endif
 }  // namespace tf2
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <class T>
 geometry_msgs::msg::Point getPoint(const T & p)
@@ -577,6 +577,6 @@ std::optional<geometry_msgs::msg::Point> intersect(
   const geometry_msgs::msg::Point & p1, const geometry_msgs::msg::Point & p2,
   const geometry_msgs::msg::Point & p3, const geometry_msgs::msg::Point & p4);
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__GEOMETRY__GEOMETRY_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__GEOMETRY__GEOMETRY_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/pose_deviation.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/pose_deviation.hpp
similarity index 82%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/pose_deviation.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/geometry/pose_deviation.hpp
index dfa678eaa07d9..c3a602caf4232 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/geometry/pose_deviation.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/geometry/pose_deviation.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
-#define TIER4_AUTOWARE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
 
 #include <geometry_msgs/msg/point.hpp>
 #include <geometry_msgs/msg/pose.hpp>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 struct PoseDeviation
 {
@@ -39,6 +39,6 @@ double calcYawDeviation(
 PoseDeviation calcPoseDeviation(
   const geometry_msgs::msg::Pose & base_pose, const geometry_msgs::msg::Pose & target_pose);
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__GEOMETRY__POSE_DEVIATION_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/constants.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/constants.hpp
similarity index 74%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/constants.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/constants.hpp
index 984fa04016b57..f06770c2925c7 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/constants.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/constants.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__CONSTANTS_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__CONSTANTS_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__CONSTANTS_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__CONSTANTS_HPP_
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 constexpr double pi = 3.14159265358979323846;  // To be replaced by std::numbers::pi in C++20
 constexpr double gravity = 9.80665;
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__CONSTANTS_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__CONSTANTS_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/normalization.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/normalization.hpp
similarity index 79%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/normalization.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/normalization.hpp
index 1eb32f33886cf..16af7f44415cc 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/normalization.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/normalization.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__NORMALIZATION_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__NORMALIZATION_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__NORMALIZATION_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__NORMALIZATION_HPP_
 
-#include "tier4_autoware_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
 
 #include <cmath>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 inline double normalizeDegree(const double deg, const double min_deg = -180)
 {
@@ -45,6 +45,6 @@ inline double normalizeRadian(const double rad, const double min_rad = -pi)
   return value - std::copysign(2 * pi, value);
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__NORMALIZATION_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__NORMALIZATION_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/range.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/range.hpp
similarity index 89%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/range.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/range.hpp
index 957a6f4e729e5..ed0ef455bfcfe 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/range.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/range.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__RANGE_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__RANGE_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__RANGE_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__RANGE_HPP_
 
 #include <cmath>
 #include <limits>
 #include <stdexcept>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <class T>
 std::vector<T> arange(const T start, const T stop, const T step = 1)
@@ -73,6 +73,6 @@ std::vector<double> linspace(const T start, const T stop, const size_t num)
   return out;
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__RANGE_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__RANGE_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/sin_table.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/sin_table.hpp
similarity index 76%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/sin_table.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/sin_table.hpp
index bea3b1e0ecb46..e87d8a2e5fc40 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/sin_table.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/sin_table.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__SIN_TABLE_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__SIN_TABLE_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__SIN_TABLE_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__SIN_TABLE_HPP_
 
 #include <cstddef>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 constexpr size_t sin_table_size = 32769;
@@ -25,6 +25,6 @@ constexpr size_t discrete_arcs_num_90 = 32768;
 constexpr size_t discrete_arcs_num_360 = 131072;
 extern const float g_sin_table[sin_table_size];
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__SIN_TABLE_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__SIN_TABLE_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/trigonometry.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/trigonometry.hpp
similarity index 73%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/trigonometry.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/trigonometry.hpp
index 4901e28472acb..19a59523c7f08 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/trigonometry.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/trigonometry.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__TRIGONOMETRY_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__TRIGONOMETRY_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__TRIGONOMETRY_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__TRIGONOMETRY_HPP_
 
 #include <utility>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 float sin(float radian);
@@ -26,6 +26,6 @@ float cos(float radian);
 
 std::pair<float, float> sin_and_cos(float radian);
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__TRIGONOMETRY_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__TRIGONOMETRY_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/unit_conversion.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/math/unit_conversion.hpp
similarity index 74%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/math/unit_conversion.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/math/unit_conversion.hpp
index 38a0a7696775a..36ce8e9f39514 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/math/unit_conversion.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/math/unit_conversion.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__MATH__UNIT_CONVERSION_HPP_
-#define TIER4_AUTOWARE_UTILS__MATH__UNIT_CONVERSION_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__MATH__UNIT_CONVERSION_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__MATH__UNIT_CONVERSION_HPP_
 
-#include "tier4_autoware_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 constexpr double deg2rad(const double deg)
 {
@@ -36,6 +36,6 @@ constexpr double mps2kmph(const double mps)
 {
   return mps * 3600.0 / 1000.0;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__MATH__UNIT_CONVERSION_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__MATH__UNIT_CONVERSION_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_publisher.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_publisher.hpp
similarity index 82%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_publisher.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_publisher.hpp
index 0750b6894debe..acd82995b1d84 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_publisher.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_publisher.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
 
-#include "tier4_autoware_utils/ros/debug_traits.hpp"
+#include "autoware/universe_utils/ros/debug_traits.hpp"
 
 #include <rclcpp/publisher_base.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -25,14 +25,15 @@
 #include <string>
 #include <unordered_map>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 namespace debug_publisher
 {
 template <
   class T_msg, class T,
   std::enable_if_t<
-    tier4_autoware_utils::debug_traits::is_debug_message<T_msg>::value, std::nullptr_t> = nullptr>
+    autoware::universe_utils::debug_traits::is_debug_message<T_msg>::value, std::nullptr_t> =
+    nullptr>
 T_msg toDebugMsg(const T & data, const rclcpp::Time & stamp)
 {
   T_msg msg;
@@ -72,6 +73,6 @@ class DebugPublisher
   const char * ns_;
   std::unordered_map<std::string, std::shared_ptr<rclcpp::PublisherBase>> pub_map_;
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_PUBLISHER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_traits.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_traits.hpp
similarity index 89%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_traits.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_traits.hpp
index 345e49079eede..8420f930e0ce9 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/debug_traits.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/debug_traits.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__DEBUG_TRAITS_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__DEBUG_TRAITS_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_TRAITS_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_TRAITS_HPP_
 
 #include <tier4_debug_msgs/msg/bool_stamped.hpp>
 #include <tier4_debug_msgs/msg/float32_multi_array_stamped.hpp>
@@ -28,7 +28,7 @@
 
 #include <type_traits>
 
-namespace tier4_autoware_utils::debug_traits
+namespace autoware::universe_utils::debug_traits
 {
 template <typename T>
 struct is_debug_message : std::false_type
@@ -84,6 +84,6 @@ template <>
 struct is_debug_message<tier4_debug_msgs::msg::StringStamped> : std::true_type
 {
 };
-}  // namespace tier4_autoware_utils::debug_traits
+}  // namespace autoware::universe_utils::debug_traits
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__DEBUG_TRAITS_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__DEBUG_TRAITS_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/logger_level_configure.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/logger_level_configure.hpp
similarity index 80%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/logger_level_configure.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/logger_level_configure.hpp
index 5aee3a251dad2..b1b11d33ab448 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/logger_level_configure.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/logger_level_configure.hpp
@@ -22,12 +22,12 @@
 
 // =============== How to use ===============
 // ___In your_node.hpp___
-// #include "tier4_autoware_utils/ros/logger_level_configure.hpp"
+// #include "autoware/universe_utils/ros/logger_level_configure.hpp"
 // class YourNode : public rclcpp::Node {
 //   ...
 //
 //   // Define logger_configure as a node class member variable
-//   std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+//   std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 // }
 //
 // ___In your_node.cpp___
@@ -38,14 +38,14 @@
 //   logger_configure_ = std::make_unique<LoggerLevelConfigure>(this);
 // }
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
 
 #include "logging_demo/srv/config_logger.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 class LoggerLevelConfigure
 {
@@ -64,5 +64,5 @@ class LoggerLevelConfigure
     const ConfigLogger::Response::SharedPtr response);
 };
 
-}  // namespace tier4_autoware_utils
-#endif  // TIER4_AUTOWARE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
+}  // namespace autoware::universe_utils
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__LOGGER_LEVEL_CONFIGURE_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/marker_helper.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/marker_helper.hpp
similarity index 89%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/marker_helper.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/marker_helper.hpp
index c00c3c1c364df..6991962c420d1 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/marker_helper.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/marker_helper.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__MARKER_HELPER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__MARKER_HELPER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__MARKER_HELPER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__MARKER_HELPER_HPP_
 
 #include <rclcpp/time.hpp>
 
@@ -22,7 +22,7 @@
 #include <optional>
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 inline geometry_msgs::msg::Point createMarkerPosition(double x, double y, double z)
 {
@@ -76,6 +76,6 @@ void appendMarkerArray(
   visualization_msgs::msg::MarkerArray * marker_array,
   const std::optional<rclcpp::Time> & current_time = {});
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__MARKER_HELPER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__MARKER_HELPER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_covariance.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_covariance.hpp
similarity index 90%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_covariance.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_covariance.hpp
index 4ebf81d4bfda5..ff957a878440e 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_covariance.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_covariance.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__MSG_COVARIANCE_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__MSG_COVARIANCE_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__MSG_COVARIANCE_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__MSG_COVARIANCE_HPP_
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 namespace xyz_covariance_index
 {
@@ -115,6 +115,6 @@ enum XYZ_UPPER_COV_IDX {
   Z_Z = 5,
 };
 }  // namespace xyz_upper_covariance_index
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__MSG_COVARIANCE_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__MSG_COVARIANCE_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_operation.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_operation.hpp
similarity index 79%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_operation.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_operation.hpp
index 4ac5dc05204f9..5ac3441dd2fc4 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/msg_operation.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/msg_operation.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__MSG_OPERATION_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__MSG_OPERATION_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__MSG_OPERATION_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__MSG_OPERATION_HPP_
 
 #include "geometry_msgs/msg/quaternion.hpp"
 
-// NOTE: Do not use tier4_autoware_utils namespace
+// NOTE: Do not use autoware_universe_utils namespace
 namespace geometry_msgs
 {
 namespace msg
@@ -28,4 +28,4 @@ Quaternion operator-(Quaternion a, Quaternion b) noexcept;
 }  // namespace msg
 }  // namespace geometry_msgs
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__MSG_OPERATION_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__MSG_OPERATION_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/parameter.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/parameter.hpp
similarity index 78%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/parameter.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/parameter.hpp
index ac9b124a02cdb..89846688d365d 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/parameter.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/parameter.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__PARAMETER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__PARAMETER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__PARAMETER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__PARAMETER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <class T>
 T getOrDeclareParameter(rclcpp::Node & node, const std::string & name)
@@ -30,6 +30,6 @@ T getOrDeclareParameter(rclcpp::Node & node, const std::string & name)
 
   return node.declare_parameter<T>(name);
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__PARAMETER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__PARAMETER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/pcl_conversion.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/pcl_conversion.hpp
similarity index 90%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/pcl_conversion.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/pcl_conversion.hpp
index c66a63eb1ac51..7fab38790921a 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/pcl_conversion.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/pcl_conversion.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__PCL_CONVERSION_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__PCL_CONVERSION_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__PCL_CONVERSION_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__PCL_CONVERSION_HPP_
 
 #include <pcl/common/transforms.h>
 #include <pcl_conversions/pcl_conversions.h>
 
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 /**
  * @brief a faster implementation of converting sensor_msgs::msg::PointCloud2 to
@@ -67,6 +67,6 @@ void transformPointCloudFromROSMsg(
   }
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__PCL_CONVERSION_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__PCL_CONVERSION_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/polling_subscriber.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/polling_subscriber.hpp
similarity index 92%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/polling_subscriber.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/polling_subscriber.hpp
index d0b6dfac2dcff..1b7ea0bd69951 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/polling_subscriber.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/polling_subscriber.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -23,9 +23,16 @@
 #include <type_traits>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
+inline rclcpp::SensorDataQoS SingleDepthSensorQoS()
+{
+  rclcpp::SensorDataQoS qos;
+  qos.get_rmw_qos_profile().depth = 1;
+  return qos;
+}
+
 template <typename T, int N = 1, typename Enable = void>
 class InterProcessPollingSubscriber;
 
@@ -152,6 +159,6 @@ class InterProcessPollingSubscriber<T, N, typename std::enable_if<(N >= 2)>::typ
   };
 };
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__POLLING_SUBSCRIBER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/processing_time_publisher.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/processing_time_publisher.hpp
similarity index 86%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/processing_time_publisher.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/processing_time_publisher.hpp
index 80d394a1c200e..96cddc595a5b9 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/processing_time_publisher.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/processing_time_publisher.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -23,7 +23,7 @@
 #include <sstream>
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 class ProcessingTimePublisher
 {
@@ -62,6 +62,6 @@ class ProcessingTimePublisher
     return oss.str();
   }
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__PROCESSING_TIME_PUBLISHER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/published_time_publisher.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/published_time_publisher.hpp
similarity index 92%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/published_time_publisher.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/published_time_publisher.hpp
index 21705cab9a962..60112d9e83cf3 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/published_time_publisher.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/published_time_publisher.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -26,7 +26,7 @@
 #include <string>
 #include <utility>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 class PublishedTimePublisher
@@ -109,6 +109,6 @@ class PublishedTimePublisher
   // store them for each different publisher of the node
   std::map<rmw_gid_t, rclcpp::Publisher<PublishedTime>::SharedPtr, GidCompare> publishers_;
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__PUBLISHED_TIME_PUBLISHER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/self_pose_listener.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/self_pose_listener.hpp
similarity index 77%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/self_pose_listener.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/self_pose_listener.hpp
index 8148392ecda3b..cdcf78a9c5edc 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/self_pose_listener.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/self_pose_listener.hpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
 #include <memory>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 class SelfPoseListener
 {
@@ -53,6 +53,6 @@ class SelfPoseListener
 private:
   TransformListener transform_listener_;
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__SELF_POSE_LISTENER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/transform_listener.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/transform_listener.hpp
similarity index 91%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/transform_listener.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/transform_listener.hpp
index 96b1cc6ea6ccc..e053ef3668034 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/transform_listener.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/transform_listener.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -26,7 +26,7 @@
 #include <memory>
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 class TransformListener
 {
@@ -82,6 +82,6 @@ class TransformListener
   std::shared_ptr<tf2_ros::Buffer> tf_buffer_;
   std::shared_ptr<tf2_ros::TransformListener> tf_listener_;
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__TRANSFORM_LISTENER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/update_param.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/update_param.hpp
similarity index 80%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/update_param.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/update_param.hpp
index 36abcc11175e1..bebb38af0b261 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/update_param.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/update_param.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__UPDATE_PARAM_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__UPDATE_PARAM_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__UPDATE_PARAM_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__UPDATE_PARAM_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
 #include <string>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <class T>
 bool updateParam(const std::vector<rclcpp::Parameter> & params, const std::string & name, T & value)
@@ -37,6 +37,6 @@ bool updateParam(const std::vector<rclcpp::Parameter> & params, const std::strin
   value = itr->template get_value<T>();
   return true;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__UPDATE_PARAM_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__UPDATE_PARAM_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/uuid_helper.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/uuid_helper.hpp
similarity index 87%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/uuid_helper.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/uuid_helper.hpp
index efb5564bdaa71..62c9f75f3f233 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/uuid_helper.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/uuid_helper.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__UUID_HELPER_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__UUID_HELPER_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__UUID_HELPER_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__UUID_HELPER_HPP_
 
 #include <unique_identifier_msgs/msg/uuid.hpp>
 
@@ -23,7 +23,7 @@
 #include <random>
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 inline unique_identifier_msgs::msg::UUID generateUUID()
 {
@@ -58,6 +58,6 @@ inline unique_identifier_msgs::msg::UUID toUUIDMsg(const boost::uuids::uuid & id
   return ros_uuid;
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__UUID_HELPER_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__UUID_HELPER_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/wait_for_param.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/ros/wait_for_param.hpp
similarity index 84%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/ros/wait_for_param.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/ros/wait_for_param.hpp
index 67a1249c5b042..1faaaa861b1c4 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/ros/wait_for_param.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/ros/wait_for_param.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
-#define TIER4_AUTOWARE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -21,7 +21,7 @@
 #include <memory>
 #include <string>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <class T>
 T waitForParam(
@@ -47,6 +47,6 @@ T waitForParam(
 
   return {};
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__ROS__WAIT_FOR_PARAM_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/system/backtrace.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/system/backtrace.hpp
similarity index 71%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/system/backtrace.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/system/backtrace.hpp
index c784d71ad5060..0b025160bacf8 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/system/backtrace.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/system/backtrace.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__SYSTEM__BACKTRACE_HPP_
-#define TIER4_AUTOWARE_UTILS__SYSTEM__BACKTRACE_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__SYSTEM__BACKTRACE_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__SYSTEM__BACKTRACE_HPP_
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 void print_backtrace();
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__SYSTEM__BACKTRACE_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__SYSTEM__BACKTRACE_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/system/stop_watch.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/system/stop_watch.hpp
similarity index 87%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/system/stop_watch.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/system/stop_watch.hpp
index 0d804e797936c..eb5cb546b8c7f 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/system/stop_watch.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/system/stop_watch.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__SYSTEM__STOP_WATCH_HPP_
-#define TIER4_AUTOWARE_UTILS__SYSTEM__STOP_WATCH_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__SYSTEM__STOP_WATCH_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__SYSTEM__STOP_WATCH_HPP_
 
 #include <chrono>
 #include <string>
 #include <unordered_map>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <
   class OutputUnit = std::chrono::seconds, class InternalUnit = std::chrono::microseconds,
@@ -58,6 +58,6 @@ class StopWatch
 
   std::unordered_map<std::string, Time> t_start_;
 };
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__SYSTEM__STOP_WATCH_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__SYSTEM__STOP_WATCH_HPP_
diff --git a/common/tier4_autoware_utils/include/tier4_autoware_utils/transform/transforms.hpp b/common/autoware_universe_utils/include/autoware/universe_utils/transform/transforms.hpp
similarity index 85%
rename from common/tier4_autoware_utils/include/tier4_autoware_utils/transform/transforms.hpp
rename to common/autoware_universe_utils/include/autoware/universe_utils/transform/transforms.hpp
index ea88ea7624216..8a92116b426ec 100644
--- a/common/tier4_autoware_utils/include/tier4_autoware_utils/transform/transforms.hpp
+++ b/common/autoware_universe_utils/include/autoware/universe_utils/transform/transforms.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TIER4_AUTOWARE_UTILS__TRANSFORM__TRANSFORMS_HPP_
-#define TIER4_AUTOWARE_UTILS__TRANSFORM__TRANSFORMS_HPP_
+#ifndef AUTOWARE__UNIVERSE_UTILS__TRANSFORM__TRANSFORMS_HPP_
+#define AUTOWARE__UNIVERSE_UTILS__TRANSFORM__TRANSFORMS_HPP_
 
 #include <Eigen/Core>
 #include <rclcpp/rclcpp.hpp>
@@ -21,7 +21,7 @@
 #include <pcl/common/transforms.h>
 #include <pcl/point_cloud.h>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <typename PointT>
 void transformPointCloud(
@@ -46,6 +46,6 @@ void transformPointCloud(
     pcl::transformPointCloud(cloud_in, cloud_out, transform);
   }
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
-#endif  // TIER4_AUTOWARE_UTILS__TRANSFORM__TRANSFORMS_HPP_
+#endif  // AUTOWARE__UNIVERSE_UTILS__TRANSFORM__TRANSFORMS_HPP_
diff --git a/common/tier4_autoware_utils/package.xml b/common/autoware_universe_utils/package.xml
similarity index 93%
rename from common/tier4_autoware_utils/package.xml
rename to common/autoware_universe_utils/package.xml
index 334ee226a5f22..de0461b5a841d 100644
--- a/common/tier4_autoware_utils/package.xml
+++ b/common/autoware_universe_utils/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>tier4_autoware_utils</name>
+  <name>autoware_universe_utils</name>
   <version>0.1.0</version>
-  <description>The tier4_autoware_utils package</description>
+  <description>The autoware_universe_utils package</description>
   <maintainer email="takamasa.horibe@tier4.jp">Takamasa Horibe</maintainer>
   <maintainer email="takayuki.murooka@tier4.jp">Takayuki Murooka</maintainer>
   <maintainer email="mamoru.sobue@tier4.jp">Mamoru Sobue</maintainer>
diff --git a/common/tier4_autoware_utils/src/geometry/boost_polygon_utils.cpp b/common/autoware_universe_utils/src/geometry/boost_polygon_utils.cpp
similarity index 85%
rename from common/tier4_autoware_utils/src/geometry/boost_polygon_utils.cpp
rename to common/autoware_universe_utils/src/geometry/boost_polygon_utils.cpp
index 01e02d1cf0038..da3da42cbc41b 100644
--- a/common/tier4_autoware_utils/src/geometry/boost_polygon_utils.cpp
+++ b/common/autoware_universe_utils/src/geometry/boost_polygon_utils.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <boost/geometry/geometry.hpp>
 
@@ -23,8 +23,8 @@
 namespace
 {
 namespace bg = boost::geometry;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
 void appendPointToPolygon(Polygon2d & polygon, const geometry_msgs::msg::Point & geom_point)
 {
@@ -68,7 +68,7 @@ double getCircleArea(const geometry_msgs::msg::Vector3 & dimensions)
 }
 }  // namespace
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 bool isClockwise(const Polygon2d & polygon)
 {
@@ -123,16 +123,16 @@ Polygon2d toPolygon2d(
   Polygon2d polygon;
 
   if (shape.type == autoware_perception_msgs::msg::Shape::BOUNDING_BOX) {
-    const auto point0 = tier4_autoware_utils::calcOffsetPose(
+    const auto point0 = autoware::universe_utils::calcOffsetPose(
                           pose, shape.dimensions.x / 2.0, shape.dimensions.y / 2.0, 0.0)
                           .position;
-    const auto point1 = tier4_autoware_utils::calcOffsetPose(
+    const auto point1 = autoware::universe_utils::calcOffsetPose(
                           pose, -shape.dimensions.x / 2.0, shape.dimensions.y / 2.0, 0.0)
                           .position;
-    const auto point2 = tier4_autoware_utils::calcOffsetPose(
+    const auto point2 = autoware::universe_utils::calcOffsetPose(
                           pose, -shape.dimensions.x / 2.0, -shape.dimensions.y / 2.0, 0.0)
                           .position;
-    const auto point3 = tier4_autoware_utils::calcOffsetPose(
+    const auto point3 = autoware::universe_utils::calcOffsetPose(
                           pose, shape.dimensions.x / 2.0, -shape.dimensions.y / 2.0, 0.0)
                           .position;
 
@@ -168,7 +168,7 @@ Polygon2d toPolygon2d(
       appendPointToPolygon(polygon, abs_point);
     }
   } else {
-    throw std::logic_error("The shape type is not supported in tier4_autoware_utils.");
+    throw std::logic_error("The shape type is not supported in autoware_universe_utils.");
   }
 
   // NOTE: push back the first point in order to close polygon
@@ -179,24 +179,24 @@ Polygon2d toPolygon2d(
   return isClockwise(polygon) ? polygon : inverseClockwise(polygon);
 }
 
-tier4_autoware_utils::Polygon2d toPolygon2d(
+autoware::universe_utils::Polygon2d toPolygon2d(
   const autoware_perception_msgs::msg::DetectedObject & object)
 {
-  return tier4_autoware_utils::toPolygon2d(
+  return autoware::universe_utils::toPolygon2d(
     object.kinematics.pose_with_covariance.pose, object.shape);
 }
 
-tier4_autoware_utils::Polygon2d toPolygon2d(
+autoware::universe_utils::Polygon2d toPolygon2d(
   const autoware_perception_msgs::msg::TrackedObject & object)
 {
-  return tier4_autoware_utils::toPolygon2d(
+  return autoware::universe_utils::toPolygon2d(
     object.kinematics.pose_with_covariance.pose, object.shape);
 }
 
-tier4_autoware_utils::Polygon2d toPolygon2d(
+autoware::universe_utils::Polygon2d toPolygon2d(
   const autoware_perception_msgs::msg::PredictedObject & object)
 {
-  return tier4_autoware_utils::toPolygon2d(
+  return autoware::universe_utils::toPolygon2d(
     object.kinematics.initial_pose_with_covariance.pose, object.shape);
 }
 
@@ -206,13 +206,17 @@ Polygon2d toFootprint(
 {
   Polygon2d polygon;
   const auto point0 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, base_to_front, width / 2.0, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(base_link_pose, base_to_front, width / 2.0, 0.0)
+      .position;
   const auto point1 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, base_to_front, -width / 2.0, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(base_link_pose, base_to_front, -width / 2.0, 0.0)
+      .position;
   const auto point2 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, -base_to_rear, -width / 2.0, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(base_link_pose, -base_to_rear, -width / 2.0, 0.0)
+      .position;
   const auto point3 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, -base_to_rear, width / 2.0, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(base_link_pose, -base_to_rear, width / 2.0, 0.0)
+      .position;
 
   appendPointToPolygon(polygon, point0);
   appendPointToPolygon(polygon, point1);
@@ -233,7 +237,7 @@ double getArea(const autoware_perception_msgs::msg::Shape & shape)
     return getPolygonArea(shape.footprint);
   }
 
-  throw std::logic_error("The shape type is not supported in tier4_autoware_utils.");
+  throw std::logic_error("The shape type is not supported in autoware_universe_utils.");
 }
 
 // NOTE: The number of vertices on the expanded polygon by boost::geometry::buffer
@@ -268,4 +272,4 @@ Polygon2d expandPolygon(const Polygon2d & input_polygon, const double offset)
   boost::geometry::correct(expanded_polygon);
   return expanded_polygon;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/geometry/geometry.cpp b/common/autoware_universe_utils/src/geometry/geometry.cpp
similarity index 98%
rename from common/tier4_autoware_utils/src/geometry/geometry.cpp
rename to common/autoware_universe_utils/src/geometry/geometry.cpp
index b88646b73dd7c..1f4fd318e227b 100644
--- a/common/tier4_autoware_utils/src/geometry/geometry.cpp
+++ b/common/autoware_universe_utils/src/geometry/geometry.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <Eigen/Geometry>
 
@@ -32,7 +32,7 @@ void fromMsg(const geometry_msgs::msg::PoseStamped & msg, tf2::Stamped<tf2::Tran
 }
 }  // namespace tf2
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 geometry_msgs::msg::Vector3 getRPY(const geometry_msgs::msg::Quaternion & quat)
 {
@@ -208,7 +208,7 @@ geometry_msgs::msg::Point32 transformPoint(
 {
   const auto point =
     geometry_msgs::build<geometry_msgs::msg::Point>().x(point32.x).y(point32.y).z(point32.z);
-  const auto transformed_point = tier4_autoware_utils::transformPoint(point, pose);
+  const auto transformed_point = autoware::universe_utils::transformPoint(point, pose);
   return geometry_msgs::build<geometry_msgs::msg::Point32>()
     .x(transformed_point.x)
     .y(transformed_point.y)
@@ -383,4 +383,4 @@ std::optional<geometry_msgs::msg::Point> intersect(
   return intersect_point;
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/geometry/pose_deviation.cpp b/common/autoware_universe_utils/src/geometry/pose_deviation.cpp
similarity index 92%
rename from common/tier4_autoware_utils/src/geometry/pose_deviation.cpp
rename to common/autoware_universe_utils/src/geometry/pose_deviation.cpp
index dda8afb974d26..77849e73f5dfd 100644
--- a/common/tier4_autoware_utils/src/geometry/pose_deviation.cpp
+++ b/common/autoware_universe_utils/src/geometry/pose_deviation.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/pose_deviation.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
 
-#include "tier4_autoware_utils/math/normalization.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 
 #include <tf2/utils.h>
 
@@ -28,7 +28,7 @@
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 double calcLateralDeviation(
@@ -82,4 +82,4 @@ PoseDeviation calcPoseDeviation(
 
   return deviation;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/math/sin_table.cpp b/common/autoware_universe_utils/src/math/sin_table.cpp
similarity index 99%
rename from common/tier4_autoware_utils/src/math/sin_table.cpp
rename to common/autoware_universe_utils/src/math/sin_table.cpp
index 0657c2303226f..ce021869176ee 100644
--- a/common/tier4_autoware_utils/src/math/sin_table.cpp
+++ b/common/autoware_universe_utils/src/math/sin_table.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/sin_table.hpp"
+#include "autoware/universe_utils/math/sin_table.hpp"
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 const float g_sin_table[sin_table_size] = {
@@ -8212,4 +8212,4 @@ const float g_sin_table[sin_table_size] = {
   0.9999999816164293f, 0.9999999896592414f, 0.9999999954041073f, 0.9999999988510269f,
   1.0000000000000000f};
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/math/trigonometry.cpp b/common/autoware_universe_utils/src/math/trigonometry.cpp
similarity index 81%
rename from common/tier4_autoware_utils/src/math/trigonometry.cpp
rename to common/autoware_universe_utils/src/math/trigonometry.cpp
index 0ce65c7aa5bc8..586b9075ba6d5 100644
--- a/common/tier4_autoware_utils/src/math/trigonometry.cpp
+++ b/common/autoware_universe_utils/src/math/trigonometry.cpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/trigonometry.hpp"
+#include "autoware/universe_utils/math/trigonometry.hpp"
 
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/math/sin_table.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/sin_table.hpp"
 
 #include <cmath>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 float sin(float radian)
 {
-  float degree = radian * (180.f / static_cast<float>(tier4_autoware_utils::pi)) *
+  float degree = radian * (180.f / static_cast<float>(autoware::universe_utils::pi)) *
                  (discrete_arcs_num_360 / 360.f);
   size_t idx =
     (static_cast<int>(std::round(degree)) % discrete_arcs_num_360 + discrete_arcs_num_360) %
@@ -46,13 +46,13 @@ float sin(float radian)
 
 float cos(float radian)
 {
-  return sin(radian + static_cast<float>(tier4_autoware_utils::pi) / 2.f);
+  return sin(radian + static_cast<float>(autoware::universe_utils::pi) / 2.f);
 }
 
 std::pair<float, float> sin_and_cos(float radian)
 {
   constexpr float tmp =
-    (180.f / static_cast<float>(tier4_autoware_utils::pi)) * (discrete_arcs_num_360 / 360.f);
+    (180.f / static_cast<float>(autoware::universe_utils::pi)) * (discrete_arcs_num_360 / 360.f);
   const float degree = radian * tmp;
   size_t idx =
     (static_cast<int>(std::round(degree)) % discrete_arcs_num_360 + discrete_arcs_num_360) %
@@ -72,4 +72,4 @@ std::pair<float, float> sin_and_cos(float radian)
   }
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/ros/logger_level_configure.cpp b/common/autoware_universe_utils/src/ros/logger_level_configure.cpp
similarity index 93%
rename from common/tier4_autoware_utils/src/ros/logger_level_configure.cpp
rename to common/autoware_universe_utils/src/ros/logger_level_configure.cpp
index d764299290d05..d517b81b93224 100644
--- a/common/tier4_autoware_utils/src/ros/logger_level_configure.cpp
+++ b/common/autoware_universe_utils/src/ros/logger_level_configure.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
 
 #include <rcutils/logging.h>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 LoggerLevelConfigure::LoggerLevelConfigure(rclcpp::Node * node) : ros_logger_(node->get_logger())
 {
@@ -58,4 +58,4 @@ void LoggerLevelConfigure::onLoggerConfigService(
   return;
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/ros/marker_helper.cpp b/common/autoware_universe_utils/src/ros/marker_helper.cpp
similarity index 94%
rename from common/tier4_autoware_utils/src/ros/marker_helper.cpp
rename to common/autoware_universe_utils/src/ros/marker_helper.cpp
index fda997edc83db..507be41dea7bb 100644
--- a/common/tier4_autoware_utils/src/ros/marker_helper.cpp
+++ b/common/autoware_universe_utils/src/ros/marker_helper.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 visualization_msgs::msg::Marker createDefaultMarker(
@@ -68,4 +68,4 @@ void appendMarkerArray(
   }
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/src/ros/msg_operation.cpp b/common/autoware_universe_utils/src/ros/msg_operation.cpp
similarity index 92%
rename from common/tier4_autoware_utils/src/ros/msg_operation.cpp
rename to common/autoware_universe_utils/src/ros/msg_operation.cpp
index cc1a59317a8e0..02c24b2a6cb33 100644
--- a/common/tier4_autoware_utils/src/ros/msg_operation.cpp
+++ b/common/autoware_universe_utils/src/ros/msg_operation.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/ros/msg_operation.hpp"
+#include "autoware/universe_utils/ros/msg_operation.hpp"
 
 #include <tf2/utils.h>
 
@@ -22,7 +22,7 @@
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
-// NOTE: Do not use tier4_autoware_utils namespace
+// NOTE: Do not use autoware_universe_utils namespace
 namespace geometry_msgs
 {
 namespace msg
diff --git a/common/tier4_autoware_utils/src/system/backtrace.cpp b/common/autoware_universe_utils/src/system/backtrace.cpp
similarity index 85%
rename from common/tier4_autoware_utils/src/system/backtrace.cpp
rename to common/autoware_universe_utils/src/system/backtrace.cpp
index 343f200296cad..7af91bdcc60dc 100644
--- a/common/tier4_autoware_utils/src/system/backtrace.cpp
+++ b/common/autoware_universe_utils/src/system/backtrace.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/system/backtrace.hpp"
+#include "autoware/universe_utils/system/backtrace.hpp"
 
 #include "rclcpp/rclcpp.hpp"
 
@@ -23,7 +23,7 @@
 #include <sstream>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 void print_backtrace()
@@ -44,9 +44,9 @@ void print_backtrace()
   for (int i = 1; i < addrlen; i++) {
     ss << "   @   " << symbol_list[i] << std::endl;
   }
-  RCLCPP_DEBUG_STREAM(rclcpp::get_logger("tier4_autoware_utils"), ss.str());
+  RCLCPP_DEBUG_STREAM(rclcpp::get_logger("autoware_universe_utils"), ss.str());
 
   free(symbol_list);
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
diff --git a/common/tier4_autoware_utils/test/src/geometry/test_boost_geometry.cpp b/common/autoware_universe_utils/test/src/geometry/test_boost_geometry.cpp
similarity index 88%
rename from common/tier4_autoware_utils/test/src/geometry/test_boost_geometry.cpp
rename to common/autoware_universe_utils/test/src/geometry/test_boost_geometry.cpp
index 4e5483935da00..7c688e1982838 100644
--- a/common/tier4_autoware_utils/test/src/geometry/test_boost_geometry.cpp
+++ b/common/autoware_universe_utils/test/src/geometry/test_boost_geometry.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 #include <boost/geometry/geometry.hpp>
 
@@ -20,8 +20,8 @@
 
 namespace bg = boost::geometry;
 
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Point3d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Point3d;
 
 TEST(boost_geometry, boost_geometry_distance)
 {
@@ -54,7 +54,7 @@ TEST(boost_geometry, to_2d)
 
 TEST(boost_geometry, toMsg)
 {
-  using tier4_autoware_utils::toMsg;
+  using autoware::universe_utils::toMsg;
 
   {
     const Point3d p(1.0, 2.0, 3.0);
@@ -68,7 +68,7 @@ TEST(boost_geometry, toMsg)
 
 TEST(boost_geometry, fromMsg)
 {
-  using tier4_autoware_utils::fromMsg;
+  using autoware::universe_utils::fromMsg;
 
   geometry_msgs::msg::Point p_msg;
   p_msg.x = 1.0;
diff --git a/common/tier4_autoware_utils/test/src/geometry/test_boost_polygon_utils.cpp b/common/autoware_universe_utils/test/src/geometry/test_boost_polygon_utils.cpp
similarity index 95%
rename from common/tier4_autoware_utils/test/src/geometry/test_boost_polygon_utils.cpp
rename to common/autoware_universe_utils/test/src/geometry/test_boost_polygon_utils.cpp
index 7689544bd79cc..4b75e8130a253 100644
--- a/common/tier4_autoware_utils/test/src/geometry/test_boost_polygon_utils.cpp
+++ b/common/autoware_universe_utils/test/src/geometry/test_boost_polygon_utils.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <boost/geometry/geometry.hpp>
 
 #include <gtest/gtest.h>
 
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Polygon2d;
 
 namespace
 {
@@ -39,7 +39,7 @@ geometry_msgs::msg::Pose createPose(const double x, const double y, const double
   p.position.x = x;
   p.position.y = y;
   p.position.z = 0.0;
-  p.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  p.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
 
   return p;
 }
@@ -47,7 +47,7 @@ geometry_msgs::msg::Pose createPose(const double x, const double y, const double
 
 TEST(boost_geometry, boost_isClockwise)
 {
-  using tier4_autoware_utils::isClockwise;
+  using autoware::universe_utils::isClockwise;
 
   // empty
   Polygon2d empty_polygon;
@@ -72,8 +72,8 @@ TEST(boost_geometry, boost_isClockwise)
 
 TEST(boost_geometry, boost_inverseClockwise)
 {
-  using tier4_autoware_utils::inverseClockwise;
-  using tier4_autoware_utils::isClockwise;
+  using autoware::universe_utils::inverseClockwise;
+  using autoware::universe_utils::isClockwise;
 
   // empty
   Polygon2d empty_polygon;
@@ -100,7 +100,7 @@ TEST(boost_geometry, boost_inverseClockwise)
 TEST(boost_geometry, boost_rotatePolygon)
 {
   constexpr double epsilon = 1e-6;
-  using tier4_autoware_utils::rotatePolygon;
+  using autoware::universe_utils::rotatePolygon;
 
   // empty
   geometry_msgs::msg::Polygon empty_polygon;
@@ -130,7 +130,7 @@ TEST(boost_geometry, boost_rotatePolygon)
 
 TEST(boost_geometry, boost_toPolygon2d)
 {
-  using tier4_autoware_utils::toPolygon2d;
+  using autoware::universe_utils::toPolygon2d;
 
   {  // bounding box
     const double x = 1.0;
@@ -206,7 +206,7 @@ TEST(boost_geometry, boost_toPolygon2d)
 
 TEST(boost_geometry, boost_toFootprint)
 {
-  using tier4_autoware_utils::toFootprint;
+  using autoware::universe_utils::toFootprint;
 
   // from base link
   {
@@ -234,7 +234,7 @@ TEST(boost_geometry, boost_toFootprint)
 
 TEST(boost_geometry, boost_getArea)
 {
-  using tier4_autoware_utils::getArea;
+  using autoware::universe_utils::getArea;
 
   {  // bounding box
     const double x = 1.0;
@@ -290,7 +290,7 @@ TEST(boost_geometry, boost_getArea)
 
 TEST(boost_geometry, boost_expandPolygon)
 {
-  using tier4_autoware_utils::expandPolygon;
+  using autoware::universe_utils::expandPolygon;
 
   {  // box with a certain offset
     Polygon2d box_poly{{{-1.0, -1.0}, {-1.0, 1.0}, {1.0, 1.0}, {1.0, -1.0}, {-1.0, -1.0}}};
diff --git a/common/tier4_autoware_utils/test/src/geometry/test_geometry.cpp b/common/autoware_universe_utils/test/src/geometry/test_geometry.cpp
similarity index 90%
rename from common/tier4_autoware_utils/test/src/geometry/test_geometry.cpp
rename to common/autoware_universe_utils/test/src/geometry/test_geometry.cpp
index b492da2d72e88..194cd7d503d12 100644
--- a/common/tier4_autoware_utils/test/src/geometry/test_geometry.cpp
+++ b/common/autoware_universe_utils/test/src/geometry/test_geometry.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <geometry_msgs/msg/point32.hpp>
 
@@ -25,7 +25,7 @@ constexpr double epsilon = 1e-6;
 
 TEST(geometry, getPoint)
 {
-  using tier4_autoware_utils::getPoint;
+  using autoware::universe_utils::getPoint;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -114,7 +114,7 @@ TEST(geometry, getPoint)
 
 TEST(geometry, getPose)
 {
-  using tier4_autoware_utils::getPose;
+  using autoware::universe_utils::getPose;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -203,7 +203,7 @@ TEST(geometry, getPose)
 
 TEST(geometry, getLongitudinalVelocity)
 {
-  using tier4_autoware_utils::getLongitudinalVelocity;
+  using autoware::universe_utils::getLongitudinalVelocity;
 
   const double velocity = 1.0;
 
@@ -222,7 +222,7 @@ TEST(geometry, getLongitudinalVelocity)
 
 TEST(geometry, setPose)
 {
-  using tier4_autoware_utils::setPose;
+  using autoware::universe_utils::setPose;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -292,9 +292,9 @@ TEST(geometry, setPose)
 
 TEST(geometry, setOrientation)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::setOrientation;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::setOrientation;
 
   geometry_msgs::msg::Pose p;
   const auto orientation = createQuaternionFromRPY(deg2rad(30), deg2rad(30), deg2rad(30));
@@ -308,7 +308,7 @@ TEST(geometry, setOrientation)
 
 TEST(geometry, setLongitudinalVelocity)
 {
-  using tier4_autoware_utils::setLongitudinalVelocity;
+  using autoware::universe_utils::setLongitudinalVelocity;
 
   const double velocity = 1.0;
 
@@ -327,7 +327,7 @@ TEST(geometry, setLongitudinalVelocity)
 
 TEST(geometry, createPoint)
 {
-  using tier4_autoware_utils::createPoint;
+  using autoware::universe_utils::createPoint;
 
   const geometry_msgs::msg::Point p_out = createPoint(1.0, 2.0, 3.0);
   EXPECT_DOUBLE_EQ(p_out.x, 1.0);
@@ -337,7 +337,7 @@ TEST(geometry, createPoint)
 
 TEST(geometry, createQuaternion)
 {
-  using tier4_autoware_utils::createQuaternion;
+  using autoware::universe_utils::createQuaternion;
 
   // (0.18257419, 0.36514837, 0.54772256, 0.73029674) is normalized quaternion of (1, 2, 3, 4)
   const geometry_msgs::msg::Quaternion q_out =
@@ -350,7 +350,7 @@ TEST(geometry, createQuaternion)
 
 TEST(geometry, createTranslation)
 {
-  using tier4_autoware_utils::createTranslation;
+  using autoware::universe_utils::createTranslation;
 
   const geometry_msgs::msg::Vector3 v_out = createTranslation(1.0, 2.0, 3.0);
   EXPECT_DOUBLE_EQ(v_out.x, 1.0);
@@ -360,8 +360,8 @@ TEST(geometry, createTranslation)
 
 TEST(geometry, createQuaternionFromRPY)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
 
   {
     const auto q_out = createQuaternionFromRPY(0, 0, 0);
@@ -390,8 +390,8 @@ TEST(geometry, createQuaternionFromRPY)
 
 TEST(geometry, createQuaternionFromYaw)
 {
-  using tier4_autoware_utils::createQuaternionFromYaw;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::deg2rad;
 
   {
     const auto q_out = createQuaternionFromYaw(0);
@@ -420,9 +420,9 @@ TEST(geometry, createQuaternionFromYaw)
 
 TEST(geometry, calcElevationAngle)
 {
-  using tier4_autoware_utils::calcElevationAngle;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcElevationAngle;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
 
   {
     const auto p1 = createPoint(1.0, 1.0, 1.0);
@@ -468,9 +468,9 @@ TEST(geometry, calcElevationAngle)
 
 TEST(geometry, calcAzimuthAngle)
 {
-  using tier4_autoware_utils::calcAzimuthAngle;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcAzimuthAngle;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::deg2rad;
 
   {
     const auto p1 = createPoint(0.0, 0.0, 9.0);
@@ -521,7 +521,7 @@ TEST(geometry, calcAzimuthAngle)
 
 TEST(geometry, calcDistance2d)
 {
-  using tier4_autoware_utils::calcDistance2d;
+  using autoware::universe_utils::calcDistance2d;
 
   geometry_msgs::msg::Point point;
   point.x = 1.0;
@@ -538,7 +538,7 @@ TEST(geometry, calcDistance2d)
 
 TEST(geometry, calcSquaredDistance2d)
 {
-  using tier4_autoware_utils::calcSquaredDistance2d;
+  using autoware::universe_utils::calcSquaredDistance2d;
 
   geometry_msgs::msg::Point point;
   point.x = 1.0;
@@ -555,7 +555,7 @@ TEST(geometry, calcSquaredDistance2d)
 
 TEST(geometry, calcDistance3d)
 {
-  using tier4_autoware_utils::calcDistance3d;
+  using autoware::universe_utils::calcDistance3d;
 
   geometry_msgs::msg::Point point;
   point.x = 1.0;
@@ -572,9 +572,9 @@ TEST(geometry, calcDistance3d)
 
 TEST(geometry, getRPY)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getRPY;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getRPY;
 
   {
     const double ans_roll = deg2rad(5);
@@ -610,9 +610,9 @@ TEST(geometry, getRPY)
 
 TEST(geometry, getRPY_wrapper)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::getRPY;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::getRPY;
 
   {
     const double ans_roll = deg2rad(45);
@@ -652,9 +652,9 @@ TEST(geometry, getRPY_wrapper)
 
 TEST(geometry, transform2pose)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::transform2pose;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::transform2pose;
 
   {
     geometry_msgs::msg::Transform transform;
@@ -703,9 +703,9 @@ TEST(geometry, transform2pose)
 
 TEST(geometry, pose2transform)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::pose2transform;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::pose2transform;
 
   {
     geometry_msgs::msg::Pose pose;
@@ -756,9 +756,9 @@ TEST(geometry, pose2transform)
 
 TEST(geometry, point2tfVector)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::point2tfVector;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::point2tfVector;
 
   // Point
   {
@@ -823,11 +823,11 @@ TEST(geometry, point2tfVector)
 
 TEST(geometry, transformPoint)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::Point2d;
-  using tier4_autoware_utils::Point3d;
-  using tier4_autoware_utils::transformPoint;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::Point2d;
+  using autoware::universe_utils::Point3d;
+  using autoware::universe_utils::transformPoint;
 
   {
     const Point2d p(1.0, 2.0);
@@ -916,9 +916,9 @@ TEST(geometry, transformPoint)
 
 TEST(geometry, transformPose)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::transformPose;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::transformPose;
 
   geometry_msgs::msg::Pose pose;
   pose.position.x = 2.0;
@@ -967,9 +967,9 @@ TEST(geometry, transformPose)
 
 TEST(geometry, inverseTransformPose)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::inverseTransformPose;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::inverseTransformPose;
 
   geometry_msgs::msg::Pose pose;
   pose.position.x = 2.0;
@@ -1018,10 +1018,10 @@ TEST(geometry, inverseTransformPose)
 
 TEST(geometry, inverseTransformPoint)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::inverseTransformPoint;
-  using tier4_autoware_utils::inverseTransformPose;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::inverseTransformPoint;
+  using autoware::universe_utils::inverseTransformPose;
 
   geometry_msgs::msg::Pose pose_transform;
   pose_transform.position.x = 1.0;
@@ -1050,10 +1050,10 @@ TEST(geometry, inverseTransformPoint)
 
 TEST(geometry, transformVector)
 {
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::MultiPoint3d;
-  using tier4_autoware_utils::transformVector;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::MultiPoint3d;
+  using autoware::universe_utils::transformVector;
 
   {
     const MultiPoint3d ps{{1.0, 2.0, 3.0}, {2.0, 3.0, 4.0}};
@@ -1078,51 +1078,51 @@ TEST(geometry, transformVector)
 
 TEST(geometry, calcCurvature)
 {
-  using tier4_autoware_utils::calcCurvature;
+  using autoware::universe_utils::calcCurvature;
   // Straight Line
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(1.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p3 = tier4_autoware_utils::createPoint(2.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(1.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p3 = autoware::universe_utils::createPoint(2.0, 0.0, 0.0);
     EXPECT_DOUBLE_EQ(calcCurvature(p1, p2, p3), 0.0);
   }
 
   // Clockwise Curved Road with a 1[m] radius
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(1.0, 1.0, 0.0);
-    geometry_msgs::msg::Point p3 = tier4_autoware_utils::createPoint(2.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(1.0, 1.0, 0.0);
+    geometry_msgs::msg::Point p3 = autoware::universe_utils::createPoint(2.0, 0.0, 0.0);
     EXPECT_DOUBLE_EQ(calcCurvature(p1, p2, p3), -1.0);
   }
 
   // Clockwise Curved Road with a 5[m] radius
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(5.0, 5.0, 0.0);
-    geometry_msgs::msg::Point p3 = tier4_autoware_utils::createPoint(10.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(5.0, 5.0, 0.0);
+    geometry_msgs::msg::Point p3 = autoware::universe_utils::createPoint(10.0, 0.0, 0.0);
     EXPECT_DOUBLE_EQ(calcCurvature(p1, p2, p3), -0.2);
   }
 
   // Counter-Clockwise Curved Road with a 1[m] radius
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(-1.0, 1.0, 0.0);
-    geometry_msgs::msg::Point p3 = tier4_autoware_utils::createPoint(-2.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(-1.0, 1.0, 0.0);
+    geometry_msgs::msg::Point p3 = autoware::universe_utils::createPoint(-2.0, 0.0, 0.0);
     EXPECT_DOUBLE_EQ(calcCurvature(p1, p2, p3), 1.0);
   }
 
   // Counter-Clockwise Curved Road with a 5[m] radius
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(-5.0, 5.0, 0.0);
-    geometry_msgs::msg::Point p3 = tier4_autoware_utils::createPoint(-10.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(-5.0, 5.0, 0.0);
+    geometry_msgs::msg::Point p3 = autoware::universe_utils::createPoint(-10.0, 0.0, 0.0);
     EXPECT_DOUBLE_EQ(calcCurvature(p1, p2, p3), 0.2);
   }
 
   // Give same points
   {
-    geometry_msgs::msg::Point p1 = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    geometry_msgs::msg::Point p2 = tier4_autoware_utils::createPoint(1.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p1 = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    geometry_msgs::msg::Point p2 = autoware::universe_utils::createPoint(1.0, 0.0, 0.0);
     ASSERT_ANY_THROW(calcCurvature(p1, p1, p1));
     ASSERT_ANY_THROW(calcCurvature(p1, p1, p2));
     ASSERT_ANY_THROW(calcCurvature(p1, p2, p1));
@@ -1132,11 +1132,11 @@ TEST(geometry, calcCurvature)
 
 TEST(geometry, calcOffsetPose)
 {
-  using tier4_autoware_utils::calcOffsetPose;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternion;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcOffsetPose;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternion;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
 
   // Only translation
   {
@@ -1224,12 +1224,12 @@ TEST(geometry, calcOffsetPose)
 
 TEST(geometry, isDrivingForward)
 {
-  using tier4_autoware_utils::calcInterpolatedPoint;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternion;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
-  using tier4_autoware_utils::isDrivingForward;
+  using autoware::universe_utils::calcInterpolatedPoint;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternion;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
+  using autoware::universe_utils::isDrivingForward;
 
   const double epsilon = 1e-3;
 
@@ -1286,8 +1286,8 @@ TEST(geometry, isDrivingForward)
 
 TEST(geometry, calcInterpolatedPoint)
 {
-  using tier4_autoware_utils::calcInterpolatedPoint;
-  using tier4_autoware_utils::createPoint;
+  using autoware::universe_utils::calcInterpolatedPoint;
+  using autoware::universe_utils::createPoint;
 
   {
     const auto src_point = createPoint(0.0, 0.0, 0.0);
@@ -1343,11 +1343,11 @@ TEST(geometry, calcInterpolatedPoint)
 
 TEST(geometry, calcInterpolatedPose)
 {
-  using tier4_autoware_utils::calcInterpolatedPose;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternion;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcInterpolatedPose;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternion;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
   const double epsilon = 1e-3;
 
   // Position Interpolation
@@ -1527,11 +1527,11 @@ TEST(geometry, calcInterpolatedPose)
 
 TEST(geometry, calcInterpolatedPose_with_Spherical_Interpolation)
 {
-  using tier4_autoware_utils::calcInterpolatedPose;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternion;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcInterpolatedPose;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternion;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
   const double epsilon = 1e-3;
 
   // Position Interpolation
@@ -1675,7 +1675,7 @@ TEST(geometry, calcInterpolatedPose_with_Spherical_Interpolation)
 
 TEST(geometry, getTwist)
 {
-  using tier4_autoware_utils::createVector3;
+  using autoware::universe_utils::createVector3;
 
   geometry_msgs::msg::Vector3 velocity = createVector3(1.0, 2.0, 3.0);
   geometry_msgs::msg::Vector3 angular = createVector3(0.1, 0.2, 0.3);
@@ -1691,7 +1691,7 @@ TEST(geometry, getTwist)
 
   // getTwist
   {
-    auto t_out = tier4_autoware_utils::createTwist(velocity, angular);
+    auto t_out = autoware::universe_utils::createTwist(velocity, angular);
     EXPECT_DOUBLE_EQ(t_out.linear.x, twist.linear.x);
     EXPECT_DOUBLE_EQ(t_out.linear.y, twist.linear.y);
     EXPECT_DOUBLE_EQ(t_out.linear.z, twist.linear.z);
@@ -1703,32 +1703,32 @@ TEST(geometry, getTwist)
 
 TEST(geometry, getTwistNorm)
 {
-  using tier4_autoware_utils::createVector3;
+  using autoware::universe_utils::createVector3;
   geometry_msgs::msg::TwistWithCovariance twist_with_covariance;
   twist_with_covariance.twist = geometry_msgs::build<geometry_msgs::msg::Twist>()
                                   .linear(createVector3(3.0, 4.0, 0.0))
                                   .angular(createVector3(0.1, 0.2, 0.3));
-  EXPECT_NEAR(tier4_autoware_utils::calcNorm(twist_with_covariance.twist.linear), 5.0, epsilon);
+  EXPECT_NEAR(autoware::universe_utils::calcNorm(twist_with_covariance.twist.linear), 5.0, epsilon);
 }
 
 TEST(geometry, isTwistCovarianceValid)
 {
-  using tier4_autoware_utils::createVector3;
+  using autoware::universe_utils::createVector3;
   geometry_msgs::msg::TwistWithCovariance twist_with_covariance;
   twist_with_covariance.twist = geometry_msgs::build<geometry_msgs::msg::Twist>()
                                   .linear(createVector3(1.0, 2.0, 3.0))
                                   .angular(createVector3(0.1, 0.2, 0.3));
 
-  EXPECT_EQ(tier4_autoware_utils::isTwistCovarianceValid(twist_with_covariance), false);
+  EXPECT_EQ(autoware::universe_utils::isTwistCovarianceValid(twist_with_covariance), false);
 
   twist_with_covariance.covariance.at(0) = 1.0;
-  EXPECT_EQ(tier4_autoware_utils::isTwistCovarianceValid(twist_with_covariance), true);
+  EXPECT_EQ(autoware::universe_utils::isTwistCovarianceValid(twist_with_covariance), true);
 }
 
 TEST(geometry, intersect)
 {
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::intersect;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::intersect;
 
   {  // Normally crossing
     const auto p1 = createPoint(0.0, -1.0, 0.0);
diff --git a/common/tier4_autoware_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp b/common/autoware_universe_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp
similarity index 91%
rename from common/tier4_autoware_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp
rename to common/autoware_universe_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp
index 5c55a09af95b1..4ed1c5497c6ae 100644
--- a/common/tier4_autoware_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp
+++ b/common/autoware_universe_utils/test/src/geometry/test_path_with_lane_id_geometry.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <gtest/gtest.h>
 
 TEST(geometry, getPoint_PathWithLaneId)
 {
-  using tier4_autoware_utils::getPoint;
+  using autoware::universe_utils::getPoint;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -36,7 +36,7 @@ TEST(geometry, getPoint_PathWithLaneId)
 
 TEST(geometry, getPose_PathWithLaneId)
 {
-  using tier4_autoware_utils::getPose;
+  using autoware::universe_utils::getPose;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -66,7 +66,7 @@ TEST(geometry, getPose_PathWithLaneId)
 
 TEST(geometry, getLongitudinalVelocity_PathWithLaneId)
 {
-  using tier4_autoware_utils::getLongitudinalVelocity;
+  using autoware::universe_utils::getLongitudinalVelocity;
 
   const double velocity = 1.0;
 
@@ -77,7 +77,7 @@ TEST(geometry, getLongitudinalVelocity_PathWithLaneId)
 
 TEST(geometry, setPose_PathWithLaneId)
 {
-  using tier4_autoware_utils::setPose;
+  using autoware::universe_utils::setPose;
 
   const double x_ans = 1.0;
   const double y_ans = 2.0;
@@ -109,7 +109,7 @@ TEST(geometry, setPose_PathWithLaneId)
 
 TEST(geometry, setLongitudinalVelocity_PathWithLaneId)
 {
-  using tier4_autoware_utils::setLongitudinalVelocity;
+  using autoware::universe_utils::setLongitudinalVelocity;
 
   const double velocity = 1.0;
 
diff --git a/common/tier4_autoware_utils/test/src/geometry/test_pose_deviation.cpp b/common/autoware_universe_utils/test/src/geometry/test_pose_deviation.cpp
similarity index 78%
rename from common/tier4_autoware_utils/test/src/geometry/test_pose_deviation.cpp
rename to common/autoware_universe_utils/test/src/geometry/test_pose_deviation.cpp
index 76e742edde59c..c9a5c2cec4fac 100644
--- a/common/tier4_autoware_utils/test/src/geometry/test_pose_deviation.cpp
+++ b/common/autoware_universe_utils/test/src/geometry/test_pose_deviation.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/geometry/pose_deviation.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 
 TEST(geometry, pose_deviation)
 {
-  using tier4_autoware_utils::calcPoseDeviation;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::calcPoseDeviation;
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::deg2rad;
 
   geometry_msgs::msg::Pose pose1;
   pose1.position.x = 1.0;
diff --git a/common/tier4_autoware_utils/test/src/math/test_constants.cpp b/common/autoware_universe_utils/test/src/math/test_constants.cpp
similarity index 84%
rename from common/tier4_autoware_utils/test/src/math/test_constants.cpp
rename to common/autoware_universe_utils/test/src/math/test_constants.cpp
index 80db5414a30f4..6c449834157b0 100644
--- a/common/tier4_autoware_utils/test/src/math/test_constants.cpp
+++ b/common/autoware_universe_utils/test/src/math/test_constants.cpp
@@ -12,20 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
 
 #include <gtest/gtest.h>
 
 TEST(constants, pi)
 {
-  using tier4_autoware_utils::pi;
+  using autoware::universe_utils::pi;
 
   EXPECT_DOUBLE_EQ(pi, 3.14159265358979323846);
 }
 
 TEST(constants, gravity)
 {
-  using tier4_autoware_utils::gravity;
+  using autoware::universe_utils::gravity;
 
   EXPECT_DOUBLE_EQ(gravity, 9.80665);
 }
diff --git a/common/tier4_autoware_utils/test/src/math/test_normalization.cpp b/common/autoware_universe_utils/test/src/math/test_normalization.cpp
similarity index 94%
rename from common/tier4_autoware_utils/test/src/math/test_normalization.cpp
rename to common/autoware_universe_utils/test/src/math/test_normalization.cpp
index 0ae15ea320850..ae7f3cd7a7a4c 100644
--- a/common/tier4_autoware_utils/test/src/math/test_normalization.cpp
+++ b/common/autoware_universe_utils/test/src/math/test_normalization.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/normalization.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 
 #include <gtest/gtest.h>
 
 TEST(normalization, normalizeDegree)
 {
-  using tier4_autoware_utils::normalizeDegree;
+  using autoware::universe_utils::normalizeDegree;
 
   // -180 <= deg < 180
   {
@@ -51,7 +51,7 @@ TEST(normalization, normalizeDegree)
 
 TEST(normalization, normalizeRadian)
 {
-  using tier4_autoware_utils::normalizeRadian;
+  using autoware::universe_utils::normalizeRadian;
 
   // -M_PI <= deg < M_PI
   {
diff --git a/common/tier4_autoware_utils/test/src/math/test_range.cpp b/common/autoware_universe_utils/test/src/math/test_range.cpp
similarity index 96%
rename from common/tier4_autoware_utils/test/src/math/test_range.cpp
rename to common/autoware_universe_utils/test/src/math/test_range.cpp
index 429c08938949f..12be5b646957b 100644
--- a/common/tier4_autoware_utils/test/src/math/test_range.cpp
+++ b/common/autoware_universe_utils/test/src/math/test_range.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/range.hpp"
+#include "autoware/universe_utils/math/range.hpp"
 
 #include <gtest/gtest.h>
 
@@ -44,7 +44,7 @@ void expect_eq_vector(const std::vector<int> & input, const std::vector<int> & e
 
 TEST(arange_Test, arange_double)
 {
-  using tier4_autoware_utils::arange;
+  using autoware::universe_utils::arange;
 
   // general cases
   {
@@ -82,7 +82,7 @@ TEST(arange_Test, arange_double)
 
 TEST(arange_Test, arange_float)
 {
-  using tier4_autoware_utils::arange;
+  using autoware::universe_utils::arange;
 
   // general cases
   {
@@ -121,7 +121,7 @@ TEST(arange_Test, arange_float)
 
 TEST(arange_Test, arange_int)
 {
-  using tier4_autoware_utils::arange;
+  using autoware::universe_utils::arange;
 
   // general cases
   {
@@ -154,7 +154,7 @@ TEST(arange_Test, arange_int)
 
 TEST(test_linspace, linspace_double)
 {
-  using tier4_autoware_utils::linspace;
+  using autoware::universe_utils::linspace;
 
   // general cases
   {
@@ -182,7 +182,7 @@ TEST(test_linspace, linspace_double)
 
 TEST(test_linspace, linspace_float)
 {
-  using tier4_autoware_utils::linspace;
+  using autoware::universe_utils::linspace;
 
   // general cases
   {
@@ -211,7 +211,7 @@ TEST(test_linspace, linspace_float)
 
 TEST(test_linspace, linspace_int)
 {
-  using tier4_autoware_utils::linspace;
+  using autoware::universe_utils::linspace;
 
   // general cases
   {
diff --git a/common/tier4_autoware_utils/test/src/math/test_trigonometry.cpp b/common/autoware_universe_utils/test/src/math/test_trigonometry.cpp
similarity index 69%
rename from common/tier4_autoware_utils/test/src/math/test_trigonometry.cpp
rename to common/autoware_universe_utils/test/src/math/test_trigonometry.cpp
index d7106fd823682..b55b27a34a6ac 100644
--- a/common/tier4_autoware_utils/test/src/math/test_trigonometry.cpp
+++ b/common/autoware_universe_utils/test/src/math/test_trigonometry.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/math/trigonometry.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/math/trigonometry.hpp"
 
 #include <gtest/gtest.h>
 
@@ -21,31 +21,31 @@
 
 TEST(trigonometry, sin)
 {
-  float x = 4.f * tier4_autoware_utils::pi / 128.f;
+  float x = 4.f * autoware::universe_utils::pi / 128.f;
   for (int i = 0; i < 128; i++) {
     EXPECT_TRUE(
       std::abs(
         std::sin(x * static_cast<float>(i)) -
-        tier4_autoware_utils::sin(x * static_cast<float>(i))) < 10e-5);
+        autoware::universe_utils::sin(x * static_cast<float>(i))) < 10e-5);
   }
 }
 
 TEST(trigonometry, cos)
 {
-  float x = 4.f * tier4_autoware_utils::pi / 128.f;
+  float x = 4.f * autoware::universe_utils::pi / 128.f;
   for (int i = 0; i < 128; i++) {
     EXPECT_TRUE(
       std::abs(
         std::cos(x * static_cast<float>(i)) -
-        tier4_autoware_utils::cos(x * static_cast<float>(i))) < 10e-5);
+        autoware::universe_utils::cos(x * static_cast<float>(i))) < 10e-5);
   }
 }
 
 TEST(trigonometry, sin_and_cos)
 {
-  float x = 4.f * tier4_autoware_utils::pi / 128.f;
+  float x = 4.f * autoware::universe_utils::pi / 128.f;
   for (int i = 0; i < 128; i++) {
-    const auto sin_and_cos = tier4_autoware_utils::sin_and_cos(x * static_cast<float>(i));
+    const auto sin_and_cos = autoware::universe_utils::sin_and_cos(x * static_cast<float>(i));
     EXPECT_TRUE(std::abs(std::sin(x * static_cast<float>(i)) - sin_and_cos.first) < 10e-7);
     EXPECT_TRUE(std::abs(std::cos(x * static_cast<float>(i)) - sin_and_cos.second) < 10e-7);
   }
diff --git a/common/tier4_autoware_utils/test/src/math/test_unit_conversion.cpp b/common/autoware_universe_utils/test/src/math/test_unit_conversion.cpp
similarity index 85%
rename from common/tier4_autoware_utils/test/src/math/test_unit_conversion.cpp
rename to common/autoware_universe_utils/test/src/math/test_unit_conversion.cpp
index 9b689d1257932..605b0e7d3c5a6 100644
--- a/common/tier4_autoware_utils/test/src/math/test_unit_conversion.cpp
+++ b/common/autoware_universe_utils/test/src/math/test_unit_conversion.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 
-using tier4_autoware_utils::pi;
+using autoware::universe_utils::pi;
 
 TEST(unit_conversion, deg2rad)
 {
-  using tier4_autoware_utils::deg2rad;
+  using autoware::universe_utils::deg2rad;
 
   EXPECT_DOUBLE_EQ(deg2rad(-720), -4 * pi);
   EXPECT_DOUBLE_EQ(deg2rad(0), 0);
@@ -33,7 +33,7 @@ TEST(unit_conversion, deg2rad)
 
 TEST(unit_conversion, rad2deg)
 {
-  using tier4_autoware_utils::rad2deg;
+  using autoware::universe_utils::rad2deg;
 
   EXPECT_DOUBLE_EQ(rad2deg(-4 * pi), -720);
   EXPECT_DOUBLE_EQ(rad2deg(0), 0);
@@ -46,7 +46,7 @@ TEST(unit_conversion, rad2deg)
 
 TEST(unit_conversion, kmph2mps)
 {
-  using tier4_autoware_utils::kmph2mps;
+  using autoware::universe_utils::kmph2mps;
 
   EXPECT_DOUBLE_EQ(kmph2mps(0), 0);
   EXPECT_DOUBLE_EQ(kmph2mps(36), 10);
@@ -56,7 +56,7 @@ TEST(unit_conversion, kmph2mps)
 
 TEST(unit_conversion, mps2kmph)
 {
-  using tier4_autoware_utils::mps2kmph;
+  using autoware::universe_utils::mps2kmph;
 
   EXPECT_DOUBLE_EQ(mps2kmph(0), 0);
   EXPECT_DOUBLE_EQ(mps2kmph(10), 36);
diff --git a/common/tier4_autoware_utils/test/src/ros/test_published_time_publisher.cpp b/common/autoware_universe_utils/test/src/ros/test_published_time_publisher.cpp
similarity index 95%
rename from common/tier4_autoware_utils/test/src/ros/test_published_time_publisher.cpp
rename to common/autoware_universe_utils/test/src/ros/test_published_time_publisher.cpp
index 133cb01f9b348..f9c0bd45c4fb4 100644
--- a/common/tier4_autoware_utils/test/src/ros/test_published_time_publisher.cpp
+++ b/common/autoware_universe_utils/test/src/ros/test_published_time_publisher.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_internal_msgs/msg/published_time.hpp>
 #include <std_msgs/msg/header.hpp>
@@ -24,7 +24,7 @@ class PublishedTimePublisherWithSubscriptionTest : public ::testing::Test
 {
 protected:
   std::shared_ptr<rclcpp::Node> node_{nullptr};
-  std::shared_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_ptr_{
+  std::shared_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_ptr_{
     nullptr};
 
   std::shared_ptr<rclcpp::Publisher<std_msgs::msg::Header>> first_test_publisher_ptr_{nullptr};
@@ -70,7 +70,7 @@ class PublishedTimePublisherWithSubscriptionTest : public ::testing::Test
 
     // Create a PublishedTimePublisher
     published_time_publisher_ptr_ =
-      std::make_shared<tier4_autoware_utils::PublishedTimePublisher>(node_.get());
+      std::make_shared<autoware::universe_utils::PublishedTimePublisher>(node_.get());
 
     // Create the first subscriber
     first_test_subscriber_ptr_ =
@@ -98,7 +98,7 @@ class PublishedTimePublisherWithoutSubscriptionTest : public ::testing::Test
 {
 protected:
   std::shared_ptr<rclcpp::Node> node_{nullptr};
-  std::shared_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_ptr_{
+  std::shared_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_ptr_{
     nullptr};
 
   std::shared_ptr<rclcpp::Publisher<std_msgs::msg::Header>> first_test_publisher_ptr_{nullptr};
@@ -135,7 +135,7 @@ class PublishedTimePublisherWithoutSubscriptionTest : public ::testing::Test
 
     // Create a PublishedTimePublisher
     published_time_publisher_ptr_ =
-      std::make_shared<tier4_autoware_utils::PublishedTimePublisher>(node_.get());
+      std::make_shared<autoware::universe_utils::PublishedTimePublisher>(node_.get());
 
     rclcpp::spin_some(node_);
   }
diff --git a/common/tier4_autoware_utils/test/src/system/test_stop_watch.cpp b/common/autoware_universe_utils/test/src/system/test_stop_watch.cpp
similarity index 91%
rename from common/tier4_autoware_utils/test/src/system/test_stop_watch.cpp
rename to common/autoware_universe_utils/test/src/system/test_stop_watch.cpp
index cb201ab0dd5ec..55e10e9bd2ffd 100644
--- a/common/tier4_autoware_utils/test/src/system/test_stop_watch.cpp
+++ b/common/autoware_universe_utils/test/src/system/test_stop_watch.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
 #include <gtest/gtest.h>
 
@@ -21,7 +21,7 @@
 
 TEST(system, StopWatch_sec)
 {
-  using tier4_autoware_utils::StopWatch;
+  using autoware::universe_utils::StopWatch;
 
   StopWatch<std::chrono::seconds> stop_watch;
 
@@ -50,7 +50,7 @@ TEST(system, StopWatch_sec)
 
 TEST(system, StopWatch_msec)
 {
-  using tier4_autoware_utils::StopWatch;
+  using autoware::universe_utils::StopWatch;
 
   StopWatch<std::chrono::milliseconds> stop_watch;
 
diff --git a/common/tier4_autoware_utils/test/src/test_autoware_utils.cpp b/common/autoware_universe_utils/test/src/test_autoware_utils.cpp
similarity index 100%
rename from common/tier4_autoware_utils/test/src/test_autoware_utils.cpp
rename to common/autoware_universe_utils/test/src/test_autoware_utils.cpp
diff --git a/common/tier4_autoware_utils/test/src/transform/test_transform.cpp b/common/autoware_universe_utils/test/src/transform/test_transform.cpp
similarity index 85%
rename from common/tier4_autoware_utils/test/src/transform/test_transform.cpp
rename to common/autoware_universe_utils/test/src/transform/test_transform.cpp
index aae8cc22ea9fb..2935600c9f446 100644
--- a/common/tier4_autoware_utils/test/src/transform/test_transform.cpp
+++ b/common/autoware_universe_utils/test/src/transform/test_transform.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tier4_autoware_utils/transform/transforms.hpp"
+#include "autoware/universe_utils/transform/transforms.hpp"
 
 #include <gtest/gtest.h>
 #include <pcl/point_cloud.h>
@@ -31,7 +31,7 @@ TEST(system, transform_point_cloud)
     42301.179688, -0.001429, -0.017543, 0.999845, -3.157415, 0.000000, 0.000000, 0.000000, 1.000000;
 
   pcl::PointCloud<pcl::PointXYZI> cloud_transformed;
-  tier4_autoware_utils::transformPointCloud(cloud, cloud_transformed, transform);
+  autoware::universe_utils::transformPointCloud(cloud, cloud_transformed, transform);
 
   pcl::PointXYZI pt1_gt(89603.187500, 42270.878906, -13.056946, 4);
 
@@ -52,8 +52,9 @@ TEST(system, empty_point_cloud)
 
   pcl::PointCloud<pcl::PointXYZI> cloud_transformed;
 
-  EXPECT_NO_THROW(tier4_autoware_utils::transformPointCloud(cloud, cloud_transformed, transform));
+  EXPECT_NO_THROW(
+    autoware::universe_utils::transformPointCloud(cloud, cloud_transformed, transform));
   EXPECT_NO_FATAL_FAILURE(
-    tier4_autoware_utils::transformPointCloud(cloud, cloud_transformed, transform));
+    autoware::universe_utils::transformPointCloud(cloud, cloud_transformed, transform));
   EXPECT_EQ(cloud_transformed.size(), 0ul);
 }
diff --git a/common/component_interface_utils/include/component_interface_utils/rclcpp.hpp b/common/component_interface_utils/include/component_interface_utils/rclcpp.hpp
index 32b6b6ca2565c..8099bea36784e 100644
--- a/common/component_interface_utils/include/component_interface_utils/rclcpp.hpp
+++ b/common/component_interface_utils/include/component_interface_utils/rclcpp.hpp
@@ -94,8 +94,7 @@ class NodeAdaptor
     C & cli, S & srv, CallbackGroup group, std::optional<double> timeout = std::nullopt) const
   {
     init_cli(cli);
-    init_srv(
-      srv, [cli, timeout](auto req, auto res) { *res = *cli->call(req, timeout); }, group);
+    init_srv(srv, [cli, timeout](auto req, auto res) { *res = *cli->call(req, timeout); }, group);
   }
 
   /// Create a subscription wrapper.
diff --git a/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator.hpp b/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator.hpp
index 3329c1349b707..69c8840b39421 100644
--- a/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator.hpp
+++ b/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator.hpp
@@ -15,8 +15,8 @@
 #ifndef GOAL_DISTANCE_CALCULATOR__GOAL_DISTANCE_CALCULATOR_HPP_
 #define GOAL_DISTANCE_CALCULATOR__GOAL_DISTANCE_CALCULATOR_HPP_
 
+#include <autoware/universe_utils/geometry/pose_deviation.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/pose_deviation.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
 #include <geometry_msgs/msg/pose_stamped.hpp>
@@ -25,7 +25,7 @@
 
 namespace goal_distance_calculator
 {
-using tier4_autoware_utils::PoseDeviation;
+using autoware::universe_utils::PoseDeviation;
 
 struct Param
 {
diff --git a/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator_node.hpp b/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator_node.hpp
index 680c4a3cdfff1..602688ffe51d7 100644
--- a/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator_node.hpp
+++ b/common/goal_distance_calculator/include/goal_distance_calculator/goal_distance_calculator_node.hpp
@@ -17,9 +17,10 @@
 
 #include "goal_distance_calculator/goal_distance_calculator.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
 #include <geometry_msgs/msg/pose_stamped.hpp>
@@ -44,25 +45,18 @@ class GoalDistanceCalculatorNode : public rclcpp::Node
 
 private:
   // Subscriber
-  rclcpp::Subscription<geometry_msgs::msg::PoseStamped>::SharedPtr sub_initial_pose_;
-  tier4_autoware_utils::SelfPoseListener self_pose_listener_;
-  rclcpp::Subscription<autoware_planning_msgs::msg::LaneletRoute>::SharedPtr sub_route_;
-
-  // Data Buffer
-  geometry_msgs::msg::PoseStamped::ConstSharedPtr current_pose_;
-  autoware_planning_msgs::msg::LaneletRoute::SharedPtr route_;
-
-  // Callback
-  void onRoute(const autoware_planning_msgs::msg::LaneletRoute::ConstSharedPtr & msg);
+  autoware::universe_utils::SelfPoseListener self_pose_listener_;
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::LaneletRoute>
+    sub_route_{this, "/planning/mission_planning/route"};
 
   // Publisher
-  tier4_autoware_utils::DebugPublisher debug_publisher_;
+  autoware::universe_utils::DebugPublisher debug_publisher_;
 
   // Timer
   rclcpp::TimerBase::SharedPtr timer_;
 
-  bool isDataReady();
-  bool isDataTimeout();
+  bool tryGetCurrentPose(geometry_msgs::msg::PoseStamped::ConstSharedPtr current_pose);
+  bool tryGetRoute(autoware_planning_msgs::msg::LaneletRoute::ConstSharedPtr route);
   void onTimer();
 
   // Parameter
@@ -70,8 +64,6 @@ class GoalDistanceCalculatorNode : public rclcpp::Node
   Param param_;
 
   // Core
-  Input input_;
-  Output output_;
   std::unique_ptr<GoalDistanceCalculator> goal_distance_calculator_;
 };
 }  // namespace goal_distance_calculator
diff --git a/common/goal_distance_calculator/package.xml b/common/goal_distance_calculator/package.xml
index eb71dc45f31a3..04ea8a37a5053 100644
--- a/common/goal_distance_calculator/package.xml
+++ b/common/goal_distance_calculator/package.xml
@@ -11,10 +11,10 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/goal_distance_calculator/src/goal_distance_calculator.cpp b/common/goal_distance_calculator/src/goal_distance_calculator.cpp
index 719baef283791..a577d43675224 100755
--- a/common/goal_distance_calculator/src/goal_distance_calculator.cpp
+++ b/common/goal_distance_calculator/src/goal_distance_calculator.cpp
@@ -21,7 +21,7 @@ Output GoalDistanceCalculator::update(const Input & input)
   Output output{};
 
   output.goal_deviation =
-    tier4_autoware_utils::calcPoseDeviation(input.route->goal_pose, input.current_pose->pose);
+    autoware::universe_utils::calcPoseDeviation(input.route->goal_pose, input.current_pose->pose);
 
   return output;
 }
diff --git a/common/goal_distance_calculator/src/goal_distance_calculator_node.cpp b/common/goal_distance_calculator/src/goal_distance_calculator_node.cpp
index ab1c35e246719..24d54ee2fcf87 100644
--- a/common/goal_distance_calculator/src/goal_distance_calculator_node.cpp
+++ b/common/goal_distance_calculator/src/goal_distance_calculator_node.cpp
@@ -14,9 +14,9 @@
 
 #include "goal_distance_calculator/goal_distance_calculator_node.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <rclcpp/timer.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <tier4_debug_msgs/msg/float64_stamped.hpp>
 
@@ -33,12 +33,6 @@ GoalDistanceCalculatorNode::GoalDistanceCalculatorNode(const rclcpp::NodeOptions
   self_pose_listener_(this),
   debug_publisher_(this, "goal_distance_calculator")
 {
-  using std::placeholders::_1;
-
-  static constexpr std::size_t queue_size = 1;
-  rclcpp::QoS durable_qos(queue_size);
-  durable_qos.transient_local();
-
   // Node Parameter
   node_param_.update_rate = declare_parameter<double>("update_rate");
   node_param_.oneshot = declare_parameter<bool>("oneshot");
@@ -47,11 +41,6 @@ GoalDistanceCalculatorNode::GoalDistanceCalculatorNode(const rclcpp::NodeOptions
   goal_distance_calculator_ = std::make_unique<GoalDistanceCalculator>();
   goal_distance_calculator_->setParam(param_);
 
-  // Subscriber
-  sub_route_ = create_subscription<autoware_planning_msgs::msg::LaneletRoute>(
-    "/planning/mission_planning/route", queue_size,
-    [&](const autoware_planning_msgs::msg::LaneletRoute::SharedPtr msg_ptr) { route_ = msg_ptr; });
-
   // Wait for first self pose
   self_pose_listener_.waitForFirstPose();
 
@@ -62,53 +51,54 @@ GoalDistanceCalculatorNode::GoalDistanceCalculatorNode(const rclcpp::NodeOptions
   goal_distance_calculator_ = std::make_unique<GoalDistanceCalculator>();
 }
 
-bool GoalDistanceCalculatorNode::isDataReady()
+bool GoalDistanceCalculatorNode::tryGetCurrentPose(
+  geometry_msgs::msg::PoseStamped::ConstSharedPtr current_pose)
 {
-  if (!current_pose_) {
-    RCLCPP_INFO_THROTTLE(
-      this->get_logger(), *this->get_clock(), 5000, "waiting for current_pose...");
-    return false;
-  }
-
-  if (!route_) {
-    RCLCPP_INFO_THROTTLE(this->get_logger(), *this->get_clock(), 5000, "waiting for route msg...");
-    return false;
-  }
-
+  auto current_pose_tmp = self_pose_listener_.getCurrentPose();
+  if (!current_pose_tmp) return false;
+  current_pose = current_pose_tmp;
   return true;
 }
 
-bool GoalDistanceCalculatorNode::isDataTimeout()
+bool GoalDistanceCalculatorNode::tryGetRoute(
+  autoware_planning_msgs::msg::LaneletRoute::ConstSharedPtr route)
 {
-  constexpr double th_pose_timeout = 1.0;
-  const auto pose_time_diff = rclcpp::Time(current_pose_->header.stamp) - now();
-  if (pose_time_diff.seconds() > th_pose_timeout) {
-    RCLCPP_WARN_THROTTLE(this->get_logger(), *this->get_clock(), 1000, "pose is timeout...");
-    return true;
-  }
-  return false;
+  auto route_tmp = sub_route_.takeData();
+  if (!route_tmp) return false;
+  route = route_tmp;
+  return true;
 }
 
 void GoalDistanceCalculatorNode::onTimer()
 {
-  current_pose_ = self_pose_listener_.getCurrentPose();
+  Input input = Input();
 
-  if (!isDataReady()) {
+  if (!tryGetCurrentPose(input.current_pose)) {
+    RCLCPP_INFO_THROTTLE(
+      this->get_logger(), *this->get_clock(), 5000, "waiting for current_pose...");
     return;
   }
 
-  if (isDataTimeout()) {
+  if (!tryGetRoute(input.route)) {
+    RCLCPP_INFO_THROTTLE(this->get_logger(), *this->get_clock(), 5000, "waiting for route msg...");
     return;
   }
 
-  input_.current_pose = current_pose_;
-  input_.route = route_;
+  // Check pose timeout
+  {
+    constexpr double th_pose_timeout = 1.0;
+    const auto pose_time_diff = rclcpp::Time(input.current_pose->header.stamp) - now();
+    if (pose_time_diff.seconds() > th_pose_timeout) {
+      RCLCPP_WARN_THROTTLE(this->get_logger(), *this->get_clock(), 1000, "pose is timeout...");
+      return;
+    }
+  }
 
-  output_ = goal_distance_calculator_->update(input_);
+  Output output = goal_distance_calculator_->update(input);
 
   {
-    using tier4_autoware_utils::rad2deg;
-    const auto & deviation = output_.goal_deviation;
+    using autoware::universe_utils::rad2deg;
+    const auto & deviation = output.goal_deviation;
 
     debug_publisher_.publish<tier4_debug_msgs::msg::Float64Stamped>(
       "deviation/lateral", deviation.lateral);
diff --git a/common/interpolation/include/interpolation/spline_interpolation.hpp b/common/interpolation/include/interpolation/spline_interpolation.hpp
index f5befefeae9da..38e7b3fed5b8b 100644
--- a/common/interpolation/include/interpolation/spline_interpolation.hpp
+++ b/common/interpolation/include/interpolation/spline_interpolation.hpp
@@ -15,8 +15,8 @@
 #ifndef INTERPOLATION__SPLINE_INTERPOLATION_HPP_
 #define INTERPOLATION__SPLINE_INTERPOLATION_HPP_
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "interpolation/interpolation_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <algorithm>
 #include <cmath>
diff --git a/common/interpolation/include/interpolation/spline_interpolation_points_2d.hpp b/common/interpolation/include/interpolation/spline_interpolation_points_2d.hpp
index 653d6c61d05b6..398d841c54710 100644
--- a/common/interpolation/include/interpolation/spline_interpolation_points_2d.hpp
+++ b/common/interpolation/include/interpolation/spline_interpolation_points_2d.hpp
@@ -53,7 +53,7 @@ class SplineInterpolationPoints2d
   {
     std::vector<geometry_msgs::msg::Point> points_inner;
     for (const auto & p : points) {
-      points_inner.push_back(tier4_autoware_utils::getPoint(p));
+      points_inner.push_back(autoware::universe_utils::getPoint(p));
     }
     calcSplineCoefficientsInner(points_inner);
   }
diff --git a/common/interpolation/package.xml b/common/interpolation/package.xml
index 6be04482da3ee..bb4af924dd252 100644
--- a/common/interpolation/package.xml
+++ b/common/interpolation/package.xml
@@ -11,7 +11,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
-  <depend>tier4_autoware_utils</depend>
+  <depend>autoware_universe_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/interpolation/src/spline_interpolation_points_2d.cpp b/common/interpolation/src/spline_interpolation_points_2d.cpp
index 61c60df7a8984..4d6d1639f2ac7 100644
--- a/common/interpolation/src/spline_interpolation_points_2d.cpp
+++ b/common/interpolation/src/spline_interpolation_points_2d.cpp
@@ -118,7 +118,7 @@ geometry_msgs::msg::Pose SplineInterpolationPoints2d::getSplineInterpolatedPose(
   geometry_msgs::msg::Pose pose;
   pose.position = getSplineInterpolatedPoint(idx, s);
   pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(getSplineInterpolatedYaw(idx, s));
+    autoware::universe_utils::createQuaternionFromYaw(getSplineInterpolatedYaw(idx, s));
   return pose;
 }
 
diff --git a/common/interpolation/test/src/test_spline_interpolation.cpp b/common/interpolation/test/src/test_spline_interpolation.cpp
index 94baf50992cf5..d3cb2d6d3060b 100644
--- a/common/interpolation/test/src/test_spline_interpolation.cpp
+++ b/common/interpolation/test/src/test_spline_interpolation.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "interpolation/spline_interpolation.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <gtest/gtest.h>
 
diff --git a/common/interpolation/test/src/test_spline_interpolation_points_2d.cpp b/common/interpolation/test/src/test_spline_interpolation_points_2d.cpp
index 09973826387a2..4013832220cd8 100644
--- a/common/interpolation/test/src/test_spline_interpolation_points_2d.cpp
+++ b/common/interpolation/test/src/test_spline_interpolation_points_2d.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <gtest/gtest.h>
 
@@ -25,7 +25,7 @@ constexpr double epsilon = 1e-6;
 
 TEST(spline_interpolation, splineYawFromPoints)
 {
-  using tier4_autoware_utils::createPoint;
+  using autoware::universe_utils::createPoint;
 
   {  // straight
     std::vector<geometry_msgs::msg::Point> points;
@@ -96,7 +96,7 @@ TEST(spline_interpolation, splineYawFromPoints)
 
 TEST(spline_interpolation, SplineInterpolationPoints2d)
 {
-  using tier4_autoware_utils::createPoint;
+  using autoware::universe_utils::createPoint;
 
   // curve
   std::vector<geometry_msgs::msg::Point> points;
@@ -199,8 +199,8 @@ TEST(spline_interpolation, SplineInterpolationPoints2d)
 
 TEST(spline_interpolation, SplineInterpolationPoints2dPolymorphism)
 {
+  using autoware::universe_utils::createPoint;
   using autoware_planning_msgs::msg::TrajectoryPoint;
-  using tier4_autoware_utils::createPoint;
 
   std::vector<geometry_msgs::msg::Point> points;
   points.push_back(createPoint(-2.0, -10.0, 0.0));
diff --git a/common/object_recognition_utils/include/object_recognition_utils/matching.hpp b/common/object_recognition_utils/include/object_recognition_utils/matching.hpp
index e9b924023f62e..ae50227df1166 100644
--- a/common/object_recognition_utils/include/object_recognition_utils/matching.hpp
+++ b/common/object_recognition_utils/include/object_recognition_utils/matching.hpp
@@ -15,9 +15,9 @@
 #ifndef OBJECT_RECOGNITION_UTILS__MATCHING_HPP_
 #define OBJECT_RECOGNITION_UTILS__MATCHING_HPP_
 
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 #include "object_recognition_utils/geometry.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
 
 #include <boost/geometry.hpp>
 
@@ -28,7 +28,7 @@
 
 namespace object_recognition_utils
 {
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Polygon2d;
 // minimum area to avoid division by zero
 static const double MIN_AREA = 1e-6;
 
@@ -37,7 +37,7 @@ inline double getConvexShapeArea(const Polygon2d & source_polygon, const Polygon
   boost::geometry::model::multi_polygon<Polygon2d> union_polygons;
   boost::geometry::union_(source_polygon, target_polygon, union_polygons);
 
-  tier4_autoware_utils::Polygon2d hull;
+  autoware::universe_utils::Polygon2d hull;
   boost::geometry::convex_hull(union_polygons, hull);
   return boost::geometry::area(hull);
 }
@@ -67,9 +67,9 @@ inline double getUnionArea(const Polygon2d & source_polygon, const Polygon2d & t
 template <class T1, class T2>
 double get2dIoU(const T1 source_object, const T2 target_object, const double min_union_area = 0.01)
 {
-  const auto source_polygon = tier4_autoware_utils::toPolygon2d(source_object);
+  const auto source_polygon = autoware::universe_utils::toPolygon2d(source_object);
   if (boost::geometry::area(source_polygon) < MIN_AREA) return 0.0;
-  const auto target_polygon = tier4_autoware_utils::toPolygon2d(target_object);
+  const auto target_polygon = autoware::universe_utils::toPolygon2d(target_object);
   if (boost::geometry::area(target_polygon) < MIN_AREA) return 0.0;
 
   const double intersection_area = getIntersectionArea(source_polygon, target_polygon);
@@ -84,9 +84,9 @@ double get2dIoU(const T1 source_object, const T2 target_object, const double min
 template <class T1, class T2>
 double get2dGeneralizedIoU(const T1 & source_object, const T2 & target_object)
 {
-  const auto source_polygon = tier4_autoware_utils::toPolygon2d(source_object);
+  const auto source_polygon = autoware::universe_utils::toPolygon2d(source_object);
   if (boost::geometry::area(source_polygon) < MIN_AREA) return 0.0;
-  const auto target_polygon = tier4_autoware_utils::toPolygon2d(target_object);
+  const auto target_polygon = autoware::universe_utils::toPolygon2d(target_object);
   if (boost::geometry::area(target_polygon) < MIN_AREA) return 0.0;
 
   const double intersection_area = getIntersectionArea(source_polygon, target_polygon);
@@ -100,10 +100,10 @@ double get2dGeneralizedIoU(const T1 & source_object, const T2 & target_object)
 template <class T1, class T2>
 double get2dPrecision(const T1 source_object, const T2 target_object)
 {
-  const auto source_polygon = tier4_autoware_utils::toPolygon2d(source_object);
+  const auto source_polygon = autoware::universe_utils::toPolygon2d(source_object);
   const double source_area = boost::geometry::area(source_polygon);
   if (source_area < MIN_AREA) return 0.0;
-  const auto target_polygon = tier4_autoware_utils::toPolygon2d(target_object);
+  const auto target_polygon = autoware::universe_utils::toPolygon2d(target_object);
   if (boost::geometry::area(target_polygon) < MIN_AREA) return 0.0;
 
   const double intersection_area = getIntersectionArea(source_polygon, target_polygon);
@@ -115,9 +115,9 @@ double get2dPrecision(const T1 source_object, const T2 target_object)
 template <class T1, class T2>
 double get2dRecall(const T1 source_object, const T2 target_object)
 {
-  const auto source_polygon = tier4_autoware_utils::toPolygon2d(source_object);
+  const auto source_polygon = autoware::universe_utils::toPolygon2d(source_object);
   if (boost::geometry::area(source_polygon) < MIN_AREA) return 0.0;
-  const auto target_polygon = tier4_autoware_utils::toPolygon2d(target_object);
+  const auto target_polygon = autoware::universe_utils::toPolygon2d(target_object);
   const double target_area = boost::geometry::area(target_polygon);
   if (target_area < MIN_AREA) return 0.0;
 
diff --git a/common/object_recognition_utils/include/object_recognition_utils/predicted_path_utils.hpp b/common/object_recognition_utils/include/object_recognition_utils/predicted_path_utils.hpp
index 1cd838e090560..72e70185d553b 100644
--- a/common/object_recognition_utils/include/object_recognition_utils/predicted_path_utils.hpp
+++ b/common/object_recognition_utils/include/object_recognition_utils/predicted_path_utils.hpp
@@ -15,7 +15,7 @@
 #ifndef OBJECT_RECOGNITION_UTILS__PREDICTED_PATH_UTILS_HPP_
 #define OBJECT_RECOGNITION_UTILS__PREDICTED_PATH_UTILS_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_path.hpp>
 #include <geometry_msgs/msg/pose.hpp>
diff --git a/common/object_recognition_utils/package.xml b/common/object_recognition_utils/package.xml
index fdf73e6b26057..e7eaea96907f2 100644
--- a/common/object_recognition_utils/package.xml
+++ b/common/object_recognition_utils/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>libboost-dev</depend>
@@ -24,7 +25,6 @@
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/object_recognition_utils/src/predicted_path_utils.cpp b/common/object_recognition_utils/src/predicted_path_utils.cpp
index fe9499b4eec33..e26c9e6a7e1ea 100644
--- a/common/object_recognition_utils/src/predicted_path_utils.cpp
+++ b/common/object_recognition_utils/src/predicted_path_utils.cpp
@@ -38,7 +38,7 @@ boost::optional<geometry_msgs::msg::Pose> calcInterpolatedPose(
     if (relative_time - epsilon < time_step * path_idx) {
       const double offset = relative_time - time_step * (path_idx - 1);
       const double ratio = std::clamp(offset / time_step, 0.0, 1.0);
-      return tier4_autoware_utils::calcInterpolatedPose(prev_pt, pt, ratio, false);
+      return autoware::universe_utils::calcInterpolatedPose(prev_pt, pt, ratio, false);
     }
   }
 
@@ -90,7 +90,7 @@ autoware_perception_msgs::msg::PredictedPath resamplePredictedPath(
 
   // Set Position
   for (size_t i = 0; i < resampled_size; ++i) {
-    const auto p = tier4_autoware_utils::createPoint(
+    const auto p = autoware::universe_utils::createPoint(
       interpolated_x.at(i), interpolated_y.at(i), interpolated_z.at(i));
     resampled_path.path.at(i).position = p;
     resampled_path.path.at(i).orientation = interpolated_quat.at(i);
diff --git a/common/object_recognition_utils/test/src/test_conversion.cpp b/common/object_recognition_utils/test/src/test_conversion.cpp
index 378f9a1245746..a9b462f9ec4c4 100644
--- a/common/object_recognition_utils/test/src/test_conversion.cpp
+++ b/common/object_recognition_utils/test/src/test_conversion.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_recognition_utils/conversion.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <gtest/gtest.h>
 
diff --git a/common/object_recognition_utils/test/src/test_matching.cpp b/common/object_recognition_utils/test/src/test_matching.cpp
index 2ad34c3ae6bbe..6005ac8d1efbc 100644
--- a/common/object_recognition_utils/test/src/test_matching.cpp
+++ b/common/object_recognition_utils/test/src/test_matching.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_recognition_utils/matching.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <autoware_perception_msgs/msg/detected_object.hpp>
 
 #include <gtest/gtest.h>
 
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Point3d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Point3d;
 
 constexpr double epsilon = 1e-06;
 
@@ -30,7 +30,7 @@ geometry_msgs::msg::Pose createPose(const double x, const double y, const double
 {
   geometry_msgs::msg::Pose p;
   p.position = geometry_msgs::build<geometry_msgs::msg::Point>().x(x).y(y).z(0.0);
-  p.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  p.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
   return p;
 }
 }  // namespace
diff --git a/common/object_recognition_utils/test/src/test_predicted_path_utils.cpp b/common/object_recognition_utils/test/src/test_predicted_path_utils.cpp
index 3dc3a8bcba3f7..305a1173acf12 100644
--- a/common/object_recognition_utils/test/src/test_predicted_path_utils.cpp
+++ b/common/object_recognition_utils/test/src/test_predicted_path_utils.cpp
@@ -12,23 +12,23 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
 
 #include <gtest/gtest.h>
 
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Point3d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Point3d;
 
 constexpr double epsilon = 1e-06;
 
 namespace
 {
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
+using autoware::universe_utils::transformPoint;
 using autoware_perception_msgs::msg::PredictedPath;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
-using tier4_autoware_utils::transformPoint;
 
 geometry_msgs::msg::Pose createPose(
   double x, double y, double z, double roll, double pitch, double yaw)
@@ -62,10 +62,10 @@ PredictedPath createTestPredictedPath(
 
 TEST(predicted_path_utils, testCalcInterpolatedPose)
 {
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::deg2rad;
   using object_recognition_utils::calcInterpolatedPose;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::createQuaternionFromYaw;
-  using tier4_autoware_utils::deg2rad;
 
   const auto path = createTestPredictedPath(100, 0.1, 1.0);
 
@@ -128,10 +128,10 @@ TEST(predicted_path_utils, testCalcInterpolatedPose)
 
 TEST(predicted_path_utils, resamplePredictedPath_by_vector)
 {
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::deg2rad;
   using object_recognition_utils::resamplePredictedPath;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::createQuaternionFromYaw;
-  using tier4_autoware_utils::deg2rad;
 
   const auto path = createTestPredictedPath(10, 1.0, 1.0);
 
@@ -205,10 +205,10 @@ TEST(predicted_path_utils, resamplePredictedPath_by_vector)
 
 TEST(predicted_path_utils, resamplePredictedPath_by_sampling_time)
 {
+  using autoware::universe_utils::createQuaternionFromRPY;
+  using autoware::universe_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::deg2rad;
   using object_recognition_utils::resamplePredictedPath;
-  using tier4_autoware_utils::createQuaternionFromRPY;
-  using tier4_autoware_utils::createQuaternionFromYaw;
-  using tier4_autoware_utils::deg2rad;
 
   const auto path = createTestPredictedPath(10, 1.0, 1.0);
 
diff --git a/common/path_distance_calculator/package.xml b/common/path_distance_calculator/package.xml
index 0ccc6419b13de..1921cbb1c4a20 100644
--- a/common/path_distance_calculator/package.xml
+++ b/common/path_distance_calculator/package.xml
@@ -10,11 +10,11 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/path_distance_calculator/src/path_distance_calculator.cpp b/common/path_distance_calculator/src/path_distance_calculator.cpp
index 798f5df70c596..833c806cdd6db 100644
--- a/common/path_distance_calculator/src/path_distance_calculator.cpp
+++ b/common/path_distance_calculator/src/path_distance_calculator.cpp
@@ -14,7 +14,7 @@
 
 #include "path_distance_calculator.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <algorithm>
 #include <chrono>
@@ -25,15 +25,12 @@
 PathDistanceCalculator::PathDistanceCalculator(const rclcpp::NodeOptions & options)
 : Node("path_distance_calculator", options), self_pose_listener_(this)
 {
-  sub_path_ = create_subscription<autoware_planning_msgs::msg::Path>(
-    "~/input/path", rclcpp::QoS(1),
-    [this](const autoware_planning_msgs::msg::Path::SharedPtr msg) { path_ = msg; });
   pub_dist_ =
     create_publisher<tier4_debug_msgs::msg::Float64Stamped>("~/output/distance", rclcpp::QoS(1));
 
   using std::chrono_literals::operator""s;
   timer_ = rclcpp::create_timer(this, get_clock(), 1s, [this]() {
-    const auto path = path_;
+    const auto path = sub_path_.takeData();
     const auto pose = self_pose_listener_.getCurrentPose();
     if (!pose) {
       RCLCPP_WARN_THROTTLE(get_logger(), *get_clock(), 5000, "no pose");
@@ -48,8 +45,8 @@ PathDistanceCalculator::PathDistanceCalculator(const rclcpp::NodeOptions & optio
       return;
     }
 
-    const double distance =
-      motion_utils::calcSignedArcLength(path->points, pose->pose.position, path->points.size() - 1);
+    const double distance = autoware::motion_utils::calcSignedArcLength(
+      path->points, pose->pose.position, path->points.size() - 1);
 
     tier4_debug_msgs::msg::Float64Stamped msg;
     msg.stamp = pose->header.stamp;
diff --git a/common/path_distance_calculator/src/path_distance_calculator.hpp b/common/path_distance_calculator/src/path_distance_calculator.hpp
index 838afb903c55f..6624f316401df 100644
--- a/common/path_distance_calculator/src/path_distance_calculator.hpp
+++ b/common/path_distance_calculator/src/path_distance_calculator.hpp
@@ -15,8 +15,9 @@
 #ifndef PATH_DISTANCE_CALCULATOR_HPP_
 #define PATH_DISTANCE_CALCULATOR_HPP_
 
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
 
 #include <autoware_planning_msgs/msg/path.hpp>
 #include <tier4_debug_msgs/msg/float64_stamped.hpp>
@@ -27,11 +28,11 @@ class PathDistanceCalculator : public rclcpp::Node
   explicit PathDistanceCalculator(const rclcpp::NodeOptions & options);
 
 private:
-  rclcpp::Subscription<autoware_planning_msgs::msg::Path>::SharedPtr sub_path_;
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::Path>
+    sub_path_{this, "~/input/path"};
   rclcpp::Publisher<tier4_debug_msgs::msg::Float64Stamped>::SharedPtr pub_dist_;
   rclcpp::TimerBase::SharedPtr timer_;
-  tier4_autoware_utils::SelfPoseListener self_pose_listener_;
-  autoware_planning_msgs::msg::Path::SharedPtr path_;
+  autoware::universe_utils::SelfPoseListener self_pose_listener_;
 };
 
 #endif  // PATH_DISTANCE_CALCULATOR_HPP_
diff --git a/common/tier4_adapi_rviz_plugin/CMakeLists.txt b/common/tier4_adapi_rviz_plugin/CMakeLists.txt
index 1cf1ca95b852e..f06ab33823a3f 100644
--- a/common/tier4_adapi_rviz_plugin/CMakeLists.txt
+++ b/common/tier4_adapi_rviz_plugin/CMakeLists.txt
@@ -12,6 +12,7 @@ set(CMAKE_INCLUDE_CURRENT_DIR ON)
 ament_auto_add_library(${PROJECT_NAME} SHARED
   src/route_tool.cpp
   src/route_panel.cpp
+  src/state_panel.cpp
   src/door_panel.cpp
 )
 
diff --git a/common/tier4_adapi_rviz_plugin/icons/classes/StatePanel.png b/common/tier4_adapi_rviz_plugin/icons/classes/StatePanel.png
new file mode 100644
index 0000000000000..6a67573717ae1
Binary files /dev/null and b/common/tier4_adapi_rviz_plugin/icons/classes/StatePanel.png differ
diff --git a/common/tier4_adapi_rviz_plugin/package.xml b/common/tier4_adapi_rviz_plugin/package.xml
index 19f8857984354..3f8c34be318d1 100644
--- a/common/tier4_adapi_rviz_plugin/package.xml
+++ b/common/tier4_adapi_rviz_plugin/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_ad_api_specs</depend>
+  <depend>autoware_vehicle_msgs</depend>
   <depend>component_interface_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>libqt5-core</depend>
@@ -21,6 +22,8 @@
   <depend>rclcpp</depend>
   <depend>rviz_common</depend>
   <depend>rviz_default_plugins</depend>
+  <depend>tier4_external_api_msgs</depend>
+  <depend>tier4_planning_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/common/tier4_adapi_rviz_plugin/plugins/plugin_description.xml b/common/tier4_adapi_rviz_plugin/plugins/plugin_description.xml
index 8b095c0e7d037..0b4f00bd56278 100644
--- a/common/tier4_adapi_rviz_plugin/plugins/plugin_description.xml
+++ b/common/tier4_adapi_rviz_plugin/plugins/plugin_description.xml
@@ -8,6 +8,10 @@
     <description>RoutePanel</description>
   </class>
 
+  <class type="tier4_adapi_rviz_plugins::StatePanel" base_class_type="rviz_common::Panel">
+    <description>StatePanel</description>
+  </class>
+
   <class type="tier4_adapi_rviz_plugins::DoorPanel" base_class_type="rviz_common::Panel">
     <description>DoorPanel</description>
   </class>
diff --git a/common/tier4_adapi_rviz_plugin/src/state_panel.cpp b/common/tier4_adapi_rviz_plugin/src/state_panel.cpp
new file mode 100644
index 0000000000000..982c8fa166b7d
--- /dev/null
+++ b/common/tier4_adapi_rviz_plugin/src/state_panel.cpp
@@ -0,0 +1,637 @@
+//
+//  Copyright 2020 TIER IV, Inc. All rights reserved.
+//
+//  Licensed under the Apache License, Version 2.0 (the "License");
+//  you may not use this file except in compliance with the License.
+//  You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+//  Unless required by applicable law or agreed to in writing, software
+//  distributed under the License is distributed on an "AS IS" BASIS,
+//  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//  See the License for the specific language governing permissions and
+//  limitations under the License.
+//
+
+#include "state_panel.hpp"
+
+#include <QGridLayout>
+#include <QHBoxLayout>
+#include <QHeaderView>
+#include <QString>
+#include <QVBoxLayout>
+#include <rviz_common/display_context.hpp>
+
+#include <memory>
+#include <string>
+
+inline std::string Bool2String(const bool var)
+{
+  return var ? "True" : "False";
+}
+
+namespace tier4_adapi_rviz_plugins
+{
+
+StatePanel::StatePanel(QWidget * parent) : rviz_common::Panel(parent)
+{
+  // Gear
+  auto * gear_prefix_label_ptr = new QLabel("GEAR: ");
+  gear_prefix_label_ptr->setAlignment(Qt::AlignRight | Qt::AlignVCenter);
+  gear_label_ptr_ = new QLabel("INIT");
+  gear_label_ptr_->setAlignment(Qt::AlignCenter);
+  auto * gear_layout = new QHBoxLayout;
+  gear_layout->addWidget(gear_prefix_label_ptr);
+  gear_layout->addWidget(gear_label_ptr_);
+
+  // Velocity Limit
+  velocity_limit_button_ptr_ = new QPushButton("Send Velocity Limit");
+  pub_velocity_limit_input_ = new QSpinBox();
+  pub_velocity_limit_input_->setRange(-100.0, 100.0);
+  pub_velocity_limit_input_->setValue(0.0);
+  pub_velocity_limit_input_->setSingleStep(5.0);
+  connect(velocity_limit_button_ptr_, SIGNAL(clicked()), this, SLOT(onClickVelocityLimit()));
+
+  // Emergency Button
+  emergency_button_ptr_ = new QPushButton("Set Emergency");
+  connect(emergency_button_ptr_, SIGNAL(clicked()), this, SLOT(onClickEmergencyButton()));
+
+  // Layout
+  auto * v_layout = new QVBoxLayout;
+  auto * velocity_limit_layout = new QHBoxLayout();
+  v_layout->addWidget(makeOperationModeGroup());
+  v_layout->addWidget(makeControlModeGroup());
+  {
+    auto * h_layout = new QHBoxLayout();
+    h_layout->addWidget(makeRoutingGroup());
+    h_layout->addWidget(makeLocalizationGroup());
+    h_layout->addWidget(makeMotionGroup());
+    h_layout->addWidget(makeFailSafeGroup());
+    v_layout->addLayout(h_layout);
+  }
+
+  v_layout->addLayout(gear_layout);
+  velocity_limit_layout->addWidget(velocity_limit_button_ptr_);
+  velocity_limit_layout->addWidget(pub_velocity_limit_input_);
+  velocity_limit_layout->addWidget(new QLabel("  [km/h]"));
+  velocity_limit_layout->addWidget(emergency_button_ptr_);
+  v_layout->addLayout(velocity_limit_layout);
+  setLayout(v_layout);
+}
+
+QGroupBox * StatePanel::makeOperationModeGroup()
+{
+  auto * group = new QGroupBox("OperationMode");
+  auto * grid = new QGridLayout;
+
+  operation_mode_label_ptr_ = new QLabel("INIT");
+  operation_mode_label_ptr_->setAlignment(Qt::AlignCenter);
+  operation_mode_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(operation_mode_label_ptr_, 0, 0, 0, 1);
+
+  auto_button_ptr_ = new QPushButton("AUTO");
+  auto_button_ptr_->setCheckable(true);
+  connect(auto_button_ptr_, SIGNAL(clicked()), SLOT(onClickAutonomous()));
+  grid->addWidget(auto_button_ptr_, 0, 1);
+
+  stop_button_ptr_ = new QPushButton("STOP");
+  stop_button_ptr_->setCheckable(true);
+  connect(stop_button_ptr_, SIGNAL(clicked()), SLOT(onClickStop()));
+  grid->addWidget(stop_button_ptr_, 0, 2);
+
+  local_button_ptr_ = new QPushButton("LOCAL");
+  local_button_ptr_->setCheckable(true);
+  connect(local_button_ptr_, SIGNAL(clicked()), SLOT(onClickLocal()));
+  grid->addWidget(local_button_ptr_, 1, 1);
+
+  remote_button_ptr_ = new QPushButton("REMOTE");
+  remote_button_ptr_->setCheckable(true);
+  connect(remote_button_ptr_, SIGNAL(clicked()), SLOT(onClickRemote()));
+  grid->addWidget(remote_button_ptr_, 1, 2);
+
+  group->setLayout(grid);
+  return group;
+}
+
+QGroupBox * StatePanel::makeControlModeGroup()
+{
+  auto * group = new QGroupBox("AutowareControl");
+  auto * grid = new QGridLayout;
+
+  control_mode_label_ptr_ = new QLabel("INIT");
+  control_mode_label_ptr_->setAlignment(Qt::AlignCenter);
+  control_mode_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(control_mode_label_ptr_, 0, 0);
+
+  enable_button_ptr_ = new QPushButton("Enable");
+  enable_button_ptr_->setCheckable(true);
+  connect(enable_button_ptr_, SIGNAL(clicked()), SLOT(onClickAutowareControl()));
+  grid->addWidget(enable_button_ptr_, 0, 1);
+
+  disable_button_ptr_ = new QPushButton("Disable");
+  disable_button_ptr_->setCheckable(true);
+  connect(disable_button_ptr_, SIGNAL(clicked()), SLOT(onClickDirectControl()));
+  grid->addWidget(disable_button_ptr_, 0, 2);
+
+  group->setLayout(grid);
+  return group;
+}
+
+QGroupBox * StatePanel::makeRoutingGroup()
+{
+  auto * group = new QGroupBox("Routing");
+  auto * grid = new QGridLayout;
+
+  routing_label_ptr_ = new QLabel("INIT");
+  routing_label_ptr_->setAlignment(Qt::AlignCenter);
+  routing_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(routing_label_ptr_, 0, 0);
+
+  clear_route_button_ptr_ = new QPushButton("Clear Route");
+  clear_route_button_ptr_->setCheckable(true);
+  connect(clear_route_button_ptr_, SIGNAL(clicked()), SLOT(onClickClearRoute()));
+  grid->addWidget(clear_route_button_ptr_, 1, 0);
+
+  group->setLayout(grid);
+  return group;
+}
+
+QGroupBox * StatePanel::makeLocalizationGroup()
+{
+  auto * group = new QGroupBox("Localization");
+  auto * grid = new QGridLayout;
+
+  localization_label_ptr_ = new QLabel("INIT");
+  localization_label_ptr_->setAlignment(Qt::AlignCenter);
+  localization_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(localization_label_ptr_, 0, 0);
+
+  init_by_gnss_button_ptr_ = new QPushButton("Init by GNSS");
+  connect(init_by_gnss_button_ptr_, SIGNAL(clicked()), SLOT(onClickInitByGnss()));
+  grid->addWidget(init_by_gnss_button_ptr_, 1, 0);
+
+  group->setLayout(grid);
+  return group;
+}
+
+QGroupBox * StatePanel::makeMotionGroup()
+{
+  auto * group = new QGroupBox("Motion");
+  auto * grid = new QGridLayout;
+
+  motion_label_ptr_ = new QLabel("INIT");
+  motion_label_ptr_->setAlignment(Qt::AlignCenter);
+  motion_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(motion_label_ptr_, 0, 0);
+
+  accept_start_button_ptr_ = new QPushButton("Accept Start");
+  accept_start_button_ptr_->setCheckable(true);
+  connect(accept_start_button_ptr_, SIGNAL(clicked()), SLOT(onClickAcceptStart()));
+  grid->addWidget(accept_start_button_ptr_, 1, 0);
+
+  group->setLayout(grid);
+  return group;
+}
+
+QGroupBox * StatePanel::makeFailSafeGroup()
+{
+  auto * group = new QGroupBox("FailSafe");
+  auto * grid = new QGridLayout;
+
+  mrm_state_label_ptr_ = new QLabel("INIT");
+  mrm_state_label_ptr_->setAlignment(Qt::AlignCenter);
+  mrm_state_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(mrm_state_label_ptr_, 0, 0);
+
+  mrm_behavior_label_ptr_ = new QLabel("INIT");
+  mrm_behavior_label_ptr_->setAlignment(Qt::AlignCenter);
+  mrm_behavior_label_ptr_->setStyleSheet("border:1px solid black;");
+  grid->addWidget(mrm_behavior_label_ptr_, 1, 0);
+
+  group->setLayout(grid);
+  return group;
+}
+
+void StatePanel::onInitialize()
+{
+  using std::placeholders::_1;
+
+  raw_node_ = this->getDisplayContext()->getRosNodeAbstraction().lock()->get_raw_node();
+
+  // Operation Mode
+  sub_operation_mode_ = raw_node_->create_subscription<OperationModeState>(
+    "/api/operation_mode/state", rclcpp::QoS{1}.transient_local(),
+    std::bind(&StatePanel::onOperationMode, this, _1));
+
+  client_change_to_autonomous_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/change_to_autonomous");
+
+  client_change_to_stop_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/change_to_stop");
+
+  client_change_to_local_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/change_to_local");
+
+  client_change_to_remote_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/change_to_remote");
+
+  client_enable_autoware_control_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/enable_autoware_control");
+
+  client_enable_direct_control_ =
+    raw_node_->create_client<ChangeOperationMode>("/api/operation_mode/disable_autoware_control");
+
+  // Routing
+  sub_route_ = raw_node_->create_subscription<RouteState>(
+    "/api/routing/state", rclcpp::QoS{1}.transient_local(),
+    std::bind(&StatePanel::onRoute, this, _1));
+
+  client_clear_route_ = raw_node_->create_client<ClearRoute>("/api/routing/clear_route");
+
+  // Localization
+  sub_localization_ = raw_node_->create_subscription<LocalizationInitializationState>(
+    "/api/localization/initialization_state", rclcpp::QoS{1}.transient_local(),
+    std::bind(&StatePanel::onLocalization, this, _1));
+
+  client_init_by_gnss_ =
+    raw_node_->create_client<InitializeLocalization>("/api/localization/initialize");
+
+  // Motion
+  sub_motion_ = raw_node_->create_subscription<MotionState>(
+    "/api/motion/state", rclcpp::QoS{1}.transient_local(),
+    std::bind(&StatePanel::onMotion, this, _1));
+
+  client_accept_start_ = raw_node_->create_client<AcceptStart>("/api/motion/accept_start");
+
+  // FailSafe
+  sub_mrm_ = raw_node_->create_subscription<MRMState>(
+    "/api/fail_safe/mrm_state", rclcpp::QoS{1}.transient_local(),
+    std::bind(&StatePanel::onMRMState, this, _1));
+
+  // Others
+  sub_gear_ = raw_node_->create_subscription<autoware_vehicle_msgs::msg::GearReport>(
+    "/vehicle/status/gear_status", 10, std::bind(&StatePanel::onShift, this, _1));
+
+  sub_emergency_ = raw_node_->create_subscription<tier4_external_api_msgs::msg::Emergency>(
+    "/api/autoware/get/emergency", 10, std::bind(&StatePanel::onEmergencyStatus, this, _1));
+
+  client_emergency_stop_ = raw_node_->create_client<tier4_external_api_msgs::srv::SetEmergency>(
+    "/api/autoware/set/emergency");
+
+  pub_velocity_limit_ = raw_node_->create_publisher<tier4_planning_msgs::msg::VelocityLimit>(
+    "/planning/scenario_planning/max_velocity_default", rclcpp::QoS{1}.transient_local());
+}
+
+void StatePanel::onOperationMode(const OperationModeState::ConstSharedPtr msg)
+{
+  auto changeButtonState = [this](
+                             QPushButton * button, const bool is_desired_mode_available,
+                             const uint8_t current_mode = OperationModeState::UNKNOWN,
+                             const uint8_t desired_mode = OperationModeState::STOP) {
+    if (is_desired_mode_available && current_mode != desired_mode) {
+      activateButton(button);
+    } else {
+      deactivateButton(button);
+    }
+  };
+
+  QString text = "";
+  QString style_sheet = "";
+  // Operation Mode
+  switch (msg->mode) {
+    case OperationModeState::AUTONOMOUS:
+      text = "AUTONOMOUS";
+      style_sheet = "background-color: #00FF00;";  // green
+      break;
+
+    case OperationModeState::LOCAL:
+      text = "LOCAL";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    case OperationModeState::REMOTE:
+      text = "REMOTE";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    case OperationModeState::STOP:
+      text = "STOP";
+      style_sheet = "background-color: #FFA500;";  // orange
+      break;
+
+    default:
+      text = "UNKNOWN";
+      style_sheet = "background-color: #FF0000;";  // red
+      break;
+  }
+
+  if (msg->is_in_transition) {
+    text += "\n(TRANSITION)";
+  }
+
+  updateLabel(operation_mode_label_ptr_, text, style_sheet);
+
+  // Control Mode
+  if (msg->is_autoware_control_enabled) {
+    updateLabel(control_mode_label_ptr_, "Enable", "background-color: #00FF00;");  // green
+  } else {
+    updateLabel(control_mode_label_ptr_, "Disable", "background-color: #FFFF00;");  // yellow
+  }
+
+  // Button
+  changeButtonState(
+    auto_button_ptr_, msg->is_autonomous_mode_available, msg->mode, OperationModeState::AUTONOMOUS);
+  changeButtonState(
+    stop_button_ptr_, msg->is_stop_mode_available, msg->mode, OperationModeState::STOP);
+  changeButtonState(
+    local_button_ptr_, msg->is_local_mode_available, msg->mode, OperationModeState::LOCAL);
+  changeButtonState(
+    remote_button_ptr_, msg->is_remote_mode_available, msg->mode, OperationModeState::REMOTE);
+
+  changeButtonState(enable_button_ptr_, !msg->is_autoware_control_enabled);
+  changeButtonState(disable_button_ptr_, msg->is_autoware_control_enabled);
+}
+
+void StatePanel::onRoute(const RouteState::ConstSharedPtr msg)
+{
+  QString text = "";
+  QString style_sheet = "";
+  switch (msg->state) {
+    case RouteState::UNSET:
+      text = "UNSET";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    case RouteState::SET:
+      text = "SET";
+      style_sheet = "background-color: #00FF00;";  // green
+      break;
+
+    case RouteState::ARRIVED:
+      text = "ARRIVED";
+      style_sheet = "background-color: #FFA500;";  // orange
+      break;
+
+    case RouteState::CHANGING:
+      text = "CHANGING";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    default:
+      text = "UNKNOWN";
+      style_sheet = "background-color: #FF0000;";  // red
+      break;
+  }
+
+  updateLabel(routing_label_ptr_, text, style_sheet);
+
+  if (msg->state == RouteState::SET) {
+    activateButton(clear_route_button_ptr_);
+  } else {
+    deactivateButton(clear_route_button_ptr_);
+  }
+}
+
+void StatePanel::onLocalization(const LocalizationInitializationState::ConstSharedPtr msg)
+{
+  QString text = "";
+  QString style_sheet = "";
+  switch (msg->state) {
+    case LocalizationInitializationState::UNINITIALIZED:
+      text = "UNINITIALIZED";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    case LocalizationInitializationState::INITIALIZING:
+      text = "INITIALIZING";
+      style_sheet = "background-color: #FFA500;";  // orange
+      break;
+
+    case LocalizationInitializationState::INITIALIZED:
+      text = "INITIALIZED";
+      style_sheet = "background-color: #00FF00;";  // green
+      break;
+
+    default:
+      text = "UNKNOWN";
+      style_sheet = "background-color: #FF0000;";  // red
+      break;
+  }
+
+  updateLabel(localization_label_ptr_, text, style_sheet);
+}
+
+void StatePanel::onMotion(const MotionState::ConstSharedPtr msg)
+{
+  QString text = "";
+  QString style_sheet = "";
+  switch (msg->state) {
+    case MotionState::STARTING:
+      text = "STARTING";
+      style_sheet = "background-color: #FFFF00;";  // yellow
+      break;
+
+    case MotionState::STOPPED:
+      text = "STOPPED";
+      style_sheet = "background-color: #FFA500;";  // orange
+      break;
+
+    case MotionState::MOVING:
+      text = "MOVING";
+      style_sheet = "background-color: #00FF00;";  // green
+      break;
+
+    default:
+      text = "UNKNOWN";
+      style_sheet = "background-color: #FF0000;";  // red
+      break;
+  }
+
+  updateLabel(motion_label_ptr_, text, style_sheet);
+
+  if (msg->state == MotionState::STARTING) {
+    activateButton(accept_start_button_ptr_);
+  } else {
+    deactivateButton(accept_start_button_ptr_);
+  }
+}
+
+void StatePanel::onMRMState(const MRMState::ConstSharedPtr msg)
+{
+  // state
+  {
+    QString text = "";
+    QString style_sheet = "";
+    switch (msg->state) {
+      case MRMState::NONE:
+        text = "NONE";
+        style_sheet = "background-color: #00FF00;";  // green
+        break;
+
+      case MRMState::MRM_OPERATING:
+        text = "MRM_OPERATING";
+        style_sheet = "background-color: #FFA500;";  // orange
+        break;
+
+      case MRMState::MRM_SUCCEEDED:
+        text = "MRM_SUCCEEDED";
+        style_sheet = "background-color: #FFFF00;";  // yellow
+        break;
+
+      case MRMState::MRM_FAILED:
+        text = "MRM_FAILED";
+        style_sheet = "background-color: #FF0000;";  // red
+        break;
+
+      default:
+        text = "UNKNOWN";
+        style_sheet = "background-color: #FF0000;";  // red
+        break;
+    }
+
+    updateLabel(mrm_state_label_ptr_, text, style_sheet);
+  }
+
+  // behavior
+  {
+    QString text = "";
+    QString style_sheet = "";
+    switch (msg->behavior) {
+      case MRMState::NONE:
+        text = "NONE";
+        style_sheet = "background-color: #00FF00;";  // green
+        break;
+
+      case MRMState::PULL_OVER:
+        text = "PULL_OVER";
+        style_sheet = "background-color: #FFFF00;";  // yellow
+        break;
+
+      case MRMState::COMFORTABLE_STOP:
+        text = "COMFORTABLE_STOP";
+        style_sheet = "background-color: #FFFF00;";  // yellow
+        break;
+
+      case MRMState::EMERGENCY_STOP:
+        text = "EMERGENCY_STOP";
+        style_sheet = "background-color: #FFA500;";  // orange
+        break;
+
+      default:
+        text = "UNKNOWN";
+        style_sheet = "background-color: #FF0000;";  // red
+        break;
+    }
+
+    updateLabel(mrm_behavior_label_ptr_, text, style_sheet);
+  }
+}
+
+void StatePanel::onShift(const autoware_vehicle_msgs::msg::GearReport::ConstSharedPtr msg)
+{
+  switch (msg->report) {
+    case autoware_vehicle_msgs::msg::GearReport::PARK:
+      gear_label_ptr_->setText("PARKING");
+      break;
+    case autoware_vehicle_msgs::msg::GearReport::REVERSE:
+      gear_label_ptr_->setText("REVERSE");
+      break;
+    case autoware_vehicle_msgs::msg::GearReport::DRIVE:
+      gear_label_ptr_->setText("DRIVE");
+      break;
+    case autoware_vehicle_msgs::msg::GearReport::NEUTRAL:
+      gear_label_ptr_->setText("NEUTRAL");
+      break;
+    case autoware_vehicle_msgs::msg::GearReport::LOW:
+      gear_label_ptr_->setText("LOW");
+      break;
+  }
+}
+
+void StatePanel::onEmergencyStatus(
+  const tier4_external_api_msgs::msg::Emergency::ConstSharedPtr msg)
+{
+  current_emergency_ = msg->emergency;
+  if (msg->emergency) {
+    emergency_button_ptr_->setText(QString::fromStdString("Clear Emergency"));
+    emergency_button_ptr_->setStyleSheet("background-color: #FF0000;");
+  } else {
+    emergency_button_ptr_->setText(QString::fromStdString("Set Emergency"));
+    emergency_button_ptr_->setStyleSheet("background-color: #00FF00;");
+  }
+}
+
+void StatePanel::onClickVelocityLimit()
+{
+  auto velocity_limit = std::make_shared<tier4_planning_msgs::msg::VelocityLimit>();
+  velocity_limit->max_velocity = pub_velocity_limit_input_->value() / 3.6;
+  pub_velocity_limit_->publish(*velocity_limit);
+}
+
+void StatePanel::onClickAutonomous()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_change_to_autonomous_);
+}
+void StatePanel::onClickStop()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_change_to_stop_);
+}
+void StatePanel::onClickLocal()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_change_to_local_);
+}
+void StatePanel::onClickRemote()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_change_to_remote_);
+}
+void StatePanel::onClickAutowareControl()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_enable_autoware_control_);
+}
+void StatePanel::onClickDirectControl()
+{
+  callServiceWithoutResponse<ChangeOperationMode>(client_enable_direct_control_);
+}
+
+void StatePanel::onClickClearRoute()
+{
+  callServiceWithoutResponse<ClearRoute>(client_clear_route_);
+}
+
+void StatePanel::onClickInitByGnss()
+{
+  callServiceWithoutResponse<InitializeLocalization>(client_init_by_gnss_);
+}
+
+void StatePanel::onClickAcceptStart()
+{
+  callServiceWithoutResponse<AcceptStart>(client_accept_start_);
+}
+
+void StatePanel::onClickEmergencyButton()
+{
+  using tier4_external_api_msgs::msg::ResponseStatus;
+  using tier4_external_api_msgs::srv::SetEmergency;
+
+  auto request = std::make_shared<SetEmergency::Request>();
+  request->emergency = !current_emergency_;
+
+  RCLCPP_INFO(raw_node_->get_logger(), request->emergency ? "Set Emergency" : "Clear Emergency");
+
+  client_emergency_stop_->async_send_request(
+    request, [this](rclcpp::Client<SetEmergency>::SharedFuture result) {
+      const auto & response = result.get();
+      if (response->status.code == ResponseStatus::SUCCESS) {
+        RCLCPP_INFO(raw_node_->get_logger(), "service succeeded");
+      } else {
+        RCLCPP_WARN(
+          raw_node_->get_logger(), "service failed: %s", response->status.message.c_str());
+      }
+    });
+}
+
+}  // namespace tier4_adapi_rviz_plugins
+
+#include <pluginlib/class_list_macros.hpp>
+PLUGINLIB_EXPORT_CLASS(tier4_adapi_rviz_plugins::StatePanel, rviz_common::Panel)
diff --git a/common/tier4_adapi_rviz_plugin/src/state_panel.hpp b/common/tier4_adapi_rviz_plugin/src/state_panel.hpp
new file mode 100644
index 0000000000000..b30494772061e
--- /dev/null
+++ b/common/tier4_adapi_rviz_plugin/src/state_panel.hpp
@@ -0,0 +1,206 @@
+//
+//  Copyright 2020 TIER IV, Inc. All rights reserved.
+//
+//  Licensed under the Apache License, Version 2.0 (the "License");
+//  you may not use this file except in compliance with the License.
+//  You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+//  Unless required by applicable law or agreed to in writing, software
+//  distributed under the License is distributed on an "AS IS" BASIS,
+//  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//  See the License for the specific language governing permissions and
+//  limitations under the License.
+//
+
+#ifndef STATE_PANEL_HPP_
+#define STATE_PANEL_HPP_
+
+#include <QGroupBox>
+#include <QLabel>
+#include <QLayout>
+#include <QPushButton>
+#include <QSpinBox>
+#include <QTableWidget>
+#include <rclcpp/rclcpp.hpp>
+#include <rviz_common/panel.hpp>
+
+#include <autoware_adapi_v1_msgs/msg/localization_initialization_state.hpp>
+#include <autoware_adapi_v1_msgs/msg/motion_state.hpp>
+#include <autoware_adapi_v1_msgs/msg/mrm_state.hpp>
+#include <autoware_adapi_v1_msgs/msg/operation_mode_state.hpp>
+#include <autoware_adapi_v1_msgs/msg/route_state.hpp>
+#include <autoware_adapi_v1_msgs/srv/accept_start.hpp>
+#include <autoware_adapi_v1_msgs/srv/change_operation_mode.hpp>
+#include <autoware_adapi_v1_msgs/srv/clear_route.hpp>
+#include <autoware_adapi_v1_msgs/srv/initialize_localization.hpp>
+#include <autoware_vehicle_msgs/msg/gear_report.hpp>
+#include <tier4_external_api_msgs/msg/emergency.hpp>
+#include <tier4_external_api_msgs/srv/set_emergency.hpp>
+#include <tier4_planning_msgs/msg/velocity_limit.hpp>
+
+#include <memory>
+
+namespace tier4_adapi_rviz_plugins
+{
+
+class StatePanel : public rviz_common::Panel
+{
+  using OperationModeState = autoware_adapi_v1_msgs::msg::OperationModeState;
+  using ChangeOperationMode = autoware_adapi_v1_msgs::srv::ChangeOperationMode;
+  using RouteState = autoware_adapi_v1_msgs::msg::RouteState;
+  using ClearRoute = autoware_adapi_v1_msgs::srv::ClearRoute;
+  using LocalizationInitializationState =
+    autoware_adapi_v1_msgs::msg::LocalizationInitializationState;
+  using InitializeLocalization = autoware_adapi_v1_msgs::srv::InitializeLocalization;
+  using MotionState = autoware_adapi_v1_msgs::msg::MotionState;
+  using AcceptStart = autoware_adapi_v1_msgs::srv::AcceptStart;
+  using MRMState = autoware_adapi_v1_msgs::msg::MrmState;
+
+  Q_OBJECT
+
+public:
+  explicit StatePanel(QWidget * parent = nullptr);
+  void onInitialize() override;
+
+public Q_SLOTS:  // NOLINT for Qt
+  void onClickAutonomous();
+  void onClickStop();
+  void onClickLocal();
+  void onClickRemote();
+  void onClickAutowareControl();
+  void onClickDirectControl();
+  void onClickClearRoute();
+  void onClickInitByGnss();
+  void onClickAcceptStart();
+  void onClickVelocityLimit();
+  void onClickEmergencyButton();
+
+protected:
+  // Layout
+  QGroupBox * makeOperationModeGroup();
+  QGroupBox * makeControlModeGroup();
+  QGroupBox * makeRoutingGroup();
+  QGroupBox * makeLocalizationGroup();
+  QGroupBox * makeMotionGroup();
+  QGroupBox * makeFailSafeGroup();
+
+  void onShift(const autoware_vehicle_msgs::msg::GearReport::ConstSharedPtr msg);
+  void onEmergencyStatus(const tier4_external_api_msgs::msg::Emergency::ConstSharedPtr msg);
+
+  rclcpp::Node::SharedPtr raw_node_;
+  rclcpp::Subscription<autoware_vehicle_msgs::msg::GearReport>::SharedPtr sub_gear_;
+  rclcpp::Client<tier4_external_api_msgs::srv::SetEmergency>::SharedPtr client_emergency_stop_;
+  rclcpp::Subscription<tier4_external_api_msgs::msg::Emergency>::SharedPtr sub_emergency_;
+  rclcpp::Publisher<tier4_planning_msgs::msg::VelocityLimit>::SharedPtr pub_velocity_limit_;
+
+  // Operation Mode
+  QLabel * operation_mode_label_ptr_{nullptr};
+  QPushButton * stop_button_ptr_{nullptr};
+  QPushButton * auto_button_ptr_{nullptr};
+  QPushButton * local_button_ptr_{nullptr};
+  QPushButton * remote_button_ptr_{nullptr};
+
+  rclcpp::Subscription<OperationModeState>::SharedPtr sub_operation_mode_;
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_change_to_autonomous_;
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_change_to_stop_;
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_change_to_local_;
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_change_to_remote_;
+
+  // Control Mode
+  QLabel * control_mode_label_ptr_{nullptr};
+  QPushButton * enable_button_ptr_{nullptr};
+  QPushButton * disable_button_ptr_{nullptr};
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_enable_autoware_control_;
+  rclcpp::Client<ChangeOperationMode>::SharedPtr client_enable_direct_control_;
+
+  // Functions
+  void onOperationMode(const OperationModeState::ConstSharedPtr msg);
+  void changeOperationMode(const rclcpp::Client<ChangeOperationMode>::SharedPtr client);
+
+  // Routing
+  QLabel * routing_label_ptr_{nullptr};
+  QPushButton * clear_route_button_ptr_{nullptr};
+
+  rclcpp::Subscription<RouteState>::SharedPtr sub_route_;
+  rclcpp::Client<ClearRoute>::SharedPtr client_clear_route_;
+
+  void onRoute(const RouteState::ConstSharedPtr msg);
+
+  // Localization
+  QLabel * localization_label_ptr_{nullptr};
+  QPushButton * init_by_gnss_button_ptr_{nullptr};
+
+  rclcpp::Subscription<LocalizationInitializationState>::SharedPtr sub_localization_;
+  rclcpp::Client<InitializeLocalization>::SharedPtr client_init_by_gnss_;
+
+  void onLocalization(const LocalizationInitializationState::ConstSharedPtr msg);
+
+  // Motion
+  QLabel * motion_label_ptr_{nullptr};
+  QPushButton * accept_start_button_ptr_{nullptr};
+
+  rclcpp::Subscription<MotionState>::SharedPtr sub_motion_;
+  rclcpp::Client<AcceptStart>::SharedPtr client_accept_start_;
+
+  void onMotion(const MotionState::ConstSharedPtr msg);
+
+  // FailSafe
+  QLabel * mrm_state_label_ptr_{nullptr};
+  QLabel * mrm_behavior_label_ptr_{nullptr};
+
+  rclcpp::Subscription<MRMState>::SharedPtr sub_mrm_;
+
+  void onMRMState(const MRMState::ConstSharedPtr msg);
+
+  // Others
+  QPushButton * velocity_limit_button_ptr_;
+  QLabel * gear_label_ptr_;
+
+  QSpinBox * pub_velocity_limit_input_;
+  QPushButton * emergency_button_ptr_;
+
+  bool current_emergency_{false};
+
+  template <typename T>
+  void callServiceWithoutResponse(const typename rclcpp::Client<T>::SharedPtr client)
+  {
+    auto req = std::make_shared<typename T::Request>();
+
+    RCLCPP_DEBUG(raw_node_->get_logger(), "client request");
+
+    if (!client->service_is_ready()) {
+      RCLCPP_DEBUG(raw_node_->get_logger(), "client is unavailable");
+      return;
+    }
+
+    client->async_send_request(req, [this](typename rclcpp::Client<T>::SharedFuture result) {
+      RCLCPP_DEBUG(
+        raw_node_->get_logger(), "Status: %d, %s", result.get()->status.code,
+        result.get()->status.message.c_str());
+    });
+  }
+
+  static void updateLabel(QLabel * label, QString text, QString style_sheet)
+  {
+    label->setText(text);
+    label->setStyleSheet(style_sheet);
+  }
+
+  static void activateButton(QAbstractButton * button)
+  {
+    button->setChecked(false);
+    button->setEnabled(true);
+  }
+
+  static void deactivateButton(QAbstractButton * button)
+  {
+    button->setChecked(true);
+    button->setEnabled(false);
+  }
+};
+
+}  // namespace tier4_adapi_rviz_plugins
+
+#endif  // STATE_PANEL_HPP_
diff --git a/common/tier4_autoware_utils/README.md b/common/tier4_autoware_utils/README.md
deleted file mode 100644
index ffcc414cd76ce..0000000000000
--- a/common/tier4_autoware_utils/README.md
+++ /dev/null
@@ -1,9 +0,0 @@
-# tier4_autoware_utils
-
-## Purpose
-
-This package contains many common functions used by other packages, so please refer to them as needed.
-
-## For developers
-
-`tier4_autoware_utils.hpp` header file was removed because the source files that directly/indirectly include this file took a long time for preprocessing.
diff --git a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display.hpp b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display.hpp
index ab6a0b25fd3b4..ef5663f024c8d 100644
--- a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display.hpp
+++ b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display.hpp
@@ -61,22 +61,22 @@ void visualizeBound(
     const auto [normal_vector_angle, adaptive_width] = [&]() -> std::pair<float, float> {
       if (i == 0) {
         return std::make_pair(
-          tier4_autoware_utils::calcAzimuthAngle(bound.at(i), bound.at(i + 1)) + M_PI_2, width);
+          autoware::universe_utils::calcAzimuthAngle(bound.at(i), bound.at(i + 1)) + M_PI_2, width);
       }
       if (i == bound.size() - 1) {
         return std::make_pair(
-          tier4_autoware_utils::calcAzimuthAngle(bound.at(i - 1), bound.at(i)) + M_PI_2, width);
+          autoware::universe_utils::calcAzimuthAngle(bound.at(i - 1), bound.at(i)) + M_PI_2, width);
       }
       const auto & prev_p = bound.at(i - 1);
       const auto & curr_p = bound.at(i);
       const auto & next_p = bound.at(i + 1);
 
-      const float curr_to_prev_angle = tier4_autoware_utils::calcAzimuthAngle(curr_p, prev_p);
-      const float curr_to_next_angle = tier4_autoware_utils::calcAzimuthAngle(curr_p, next_p);
+      const float curr_to_prev_angle = autoware::universe_utils::calcAzimuthAngle(curr_p, prev_p);
+      const float curr_to_next_angle = autoware::universe_utils::calcAzimuthAngle(curr_p, next_p);
       const float normal_vector_angle = (curr_to_prev_angle + curr_to_next_angle) / 2.0;
 
       const float diff_angle =
-        tier4_autoware_utils::normalizeRadian(normal_vector_angle - curr_to_next_angle);
+        autoware::universe_utils::normalizeRadian(normal_vector_angle - curr_to_next_angle);
       if (diff_angle == 0.0) {
         return std::make_pair(normal_vector_angle, width);
       }
diff --git a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display_base.hpp b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display_base.hpp
index 9cb710c239029..25f890799465d 100644
--- a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display_base.hpp
+++ b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/path/display_base.hpp
@@ -86,8 +86,8 @@ bool validateFloats(const typename T::ConstSharedPtr & msg_ptr)
 {
   for (auto && path_point : msg_ptr->points) {
     if (
-      !rviz_common::validateFloats(tier4_autoware_utils::getPose(path_point)) &&
-      !rviz_common::validateFloats(tier4_autoware_utils::getLongitudinalVelocity(path_point))) {
+      !rviz_common::validateFloats(autoware::universe_utils::getPose(path_point)) &&
+      !rviz_common::validateFloats(autoware::universe_utils::getLongitudinalVelocity(path_point))) {
       return false;
     }
   }
@@ -358,8 +358,8 @@ class AutowarePathBaseDisplay : public rviz_common::MessageFilterDisplay<T>
 
     for (size_t point_idx = 0; point_idx < msg_ptr->points.size(); point_idx++) {
       const auto & path_point = msg_ptr->points.at(point_idx);
-      const auto & pose = tier4_autoware_utils::getPose(path_point);
-      const auto & velocity = tier4_autoware_utils::getLongitudinalVelocity(path_point);
+      const auto & pose = autoware::universe_utils::getPose(path_point);
+      const auto & velocity = autoware::universe_utils::getLongitudinalVelocity(path_point);
 
       // path
       if (property_path_view_.getBool()) {
@@ -454,9 +454,9 @@ class AutowarePathBaseDisplay : public rviz_common::MessageFilterDisplay<T>
           (point_idx != msg_ptr->points.size() - 1) ? point_idx + 1 : point_idx;
 
         const auto & prev_path_pos =
-          tier4_autoware_utils::getPose(msg_ptr->points.at(prev_idx)).position;
+          autoware::universe_utils::getPose(msg_ptr->points.at(prev_idx)).position;
         const auto & next_path_pos =
-          tier4_autoware_utils::getPose(msg_ptr->points.at(next_idx)).position;
+          autoware::universe_utils::getPose(msg_ptr->points.at(next_idx)).position;
 
         Ogre::Vector3 position;
         position.x = pose.position.x;
@@ -466,7 +466,8 @@ class AutowarePathBaseDisplay : public rviz_common::MessageFilterDisplay<T>
         node->setPosition(position);
 
         rviz_rendering::MovableText * text = slope_texts_.at(point_idx);
-        const double slope = tier4_autoware_utils::calcElevationAngle(prev_path_pos, next_path_pos);
+        const double slope =
+          autoware::universe_utils::calcElevationAngle(prev_path_pos, next_path_pos);
 
         std::stringstream ss;
         ss << std::fixed << std::setprecision(2) << slope;
@@ -510,7 +511,7 @@ class AutowarePathBaseDisplay : public rviz_common::MessageFilterDisplay<T>
 
     for (size_t p_idx = 0; p_idx < msg_ptr->points.size(); p_idx++) {
       const auto & point = msg_ptr->points.at(p_idx);
-      const auto & pose = tier4_autoware_utils::getPose(point);
+      const auto & pose = autoware::universe_utils::getPose(point);
       // footprint
       if (property_footprint_view_.getBool()) {
         Ogre::ColourValue color;
diff --git a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/utils.hpp b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/utils.hpp
index 94943a25f6a64..7e99af8b9efb6 100644
--- a/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/utils.hpp
+++ b/common/tier4_planning_rviz_plugin/include/tier4_planning_rviz_plugin/utils.hpp
@@ -15,8 +15,8 @@
 #ifndef TIER4_PLANNING_RVIZ_PLUGIN__UTILS_HPP_
 #define TIER4_PLANNING_RVIZ_PLUGIN__UTILS_HPP_
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 
 #include <tf2/utils.h>
 
@@ -29,7 +29,7 @@ bool isDrivingForward(const T points_with_twist, size_t target_idx)
 
   // 1. check velocity
   const double target_velocity =
-    tier4_autoware_utils::getLongitudinalVelocity(points_with_twist.at(target_idx));
+    autoware::universe_utils::getLongitudinalVelocity(points_with_twist.at(target_idx));
   if (epsilon < target_velocity) {
     return true;
   } else if (target_velocity < -epsilon) {
@@ -46,13 +46,13 @@ bool isDrivingForward(const T points_with_twist, size_t target_idx)
   const size_t first_idx = is_last_point ? target_idx - 1 : target_idx;
   const size_t second_idx = is_last_point ? target_idx : target_idx + 1;
 
-  const auto first_pose = tier4_autoware_utils::getPose(points_with_twist.at(first_idx));
-  const auto second_pose = tier4_autoware_utils::getPose(points_with_twist.at(second_idx));
+  const auto first_pose = autoware::universe_utils::getPose(points_with_twist.at(first_idx));
+  const auto second_pose = autoware::universe_utils::getPose(points_with_twist.at(second_idx));
   const double first_traj_yaw = tf2::getYaw(first_pose.orientation);
   const double driving_direction_yaw =
-    tier4_autoware_utils::calcAzimuthAngle(first_pose.position, second_pose.position);
+    autoware::universe_utils::calcAzimuthAngle(first_pose.position, second_pose.position);
   if (
-    std::abs(tier4_autoware_utils::normalizeRadian(first_traj_yaw - driving_direction_yaw)) <
+    std::abs(autoware::universe_utils::normalizeRadian(first_traj_yaw - driving_direction_yaw)) <
     M_PI_2) {
     return true;
   }
diff --git a/common/tier4_planning_rviz_plugin/package.xml b/common/tier4_planning_rviz_plugin/package.xml
index 95edcb7a96c56..e42d8c5a05a12 100644
--- a/common/tier4_planning_rviz_plugin/package.xml
+++ b/common/tier4_planning_rviz_plugin/package.xml
@@ -11,12 +11,13 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>libqt5-core</depend>
   <depend>libqt5-gui</depend>
   <depend>libqt5-widgets</depend>
-  <depend>motion_utils</depend>
   <depend>qtbase5-dev</depend>
   <depend>rclcpp</depend>
   <depend>rviz_common</depend>
@@ -24,7 +25,6 @@
   <depend>rviz_rendering</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/tier4_system_rviz_plugin/package.xml b/common/tier4_system_rviz_plugin/package.xml
index bd72ecf97def4..bd888fb085960 100644
--- a/common/tier4_system_rviz_plugin/package.xml
+++ b/common/tier4_system_rviz_plugin/package.xml
@@ -11,6 +11,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>libqt5-core</depend>
   <depend>libqt5-gui</depend>
@@ -19,7 +20,6 @@
   <depend>rviz_common</depend>
   <depend>rviz_default_plugins</depend>
   <depend>rviz_ogre_vendor</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/common/tier4_vehicle_rviz_plugin/package.xml b/common/tier4_vehicle_rviz_plugin/package.xml
index 922ebd2c5e318..69057701886cb 100644
--- a/common/tier4_vehicle_rviz_plugin/package.xml
+++ b/common/tier4_vehicle_rviz_plugin/package.xml
@@ -10,6 +10,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>libqt5-core</depend>
   <depend>libqt5-gui</depend>
@@ -18,7 +19,6 @@
   <depend>rviz_common</depend>
   <depend>rviz_default_plugins</depend>
   <depend>rviz_ogre_vendor</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.cpp b/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.cpp
index 3b3810a782a91..1d884d01065fa 100644
--- a/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.cpp
+++ b/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.cpp
@@ -231,14 +231,14 @@ void AccelerationMeterDisplay::updateVisualization()
   inner_arc_.y0 = line_width_ / 2.0;
   inner_arc_.x1 = w;
   inner_arc_.y1 = h;
-  inner_arc_.start_angle = tier4_autoware_utils::rad2deg(min_range_theta - M_PI);
-  inner_arc_.end_angle = tier4_autoware_utils::rad2deg(max_range_theta - min_range_theta);
+  inner_arc_.start_angle = autoware::universe_utils::rad2deg(min_range_theta - M_PI);
+  inner_arc_.end_angle = autoware::universe_utils::rad2deg(max_range_theta - min_range_theta);
   outer_arc_.x0 = w * 3 / 8;
   outer_arc_.y0 = h * 3 / 8;
   outer_arc_.x1 = w / 4;
   outer_arc_.y1 = h / 4;
-  outer_arc_.start_angle = tier4_autoware_utils::rad2deg(min_range_theta - M_PI);
-  outer_arc_.end_angle = tier4_autoware_utils::rad2deg(max_range_theta - min_range_theta);
+  outer_arc_.start_angle = autoware::universe_utils::rad2deg(min_range_theta - M_PI);
+  outer_arc_.end_angle = autoware::universe_utils::rad2deg(max_range_theta - min_range_theta);
 }
 
 }  // namespace rviz_plugins
diff --git a/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.hpp b/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.hpp
index 8a962cea575e8..03fef97f536a5 100644
--- a/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.hpp
+++ b/common/tier4_vehicle_rviz_plugin/src/tools/acceleration_meter.hpp
@@ -21,11 +21,11 @@
 #ifndef Q_MOC_RUN
 #include "jsk_overlay_utils.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <rviz_common/properties/color_property.hpp>
 #include <rviz_common/properties/float_property.hpp>
 #include <rviz_common/properties/int_property.hpp>
 #include <rviz_common/ros_topic_display.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <geometry_msgs/msg/accel_with_covariance_stamped.hpp>
 #endif
@@ -67,8 +67,8 @@ private Q_SLOTS:
 private:
   static constexpr float meter_min_acceleration_ = -10.0f;
   static constexpr float meter_max_acceleration_ = 10.0f;
-  static constexpr float meter_min_angle_ = tier4_autoware_utils::deg2rad(40.f);
-  static constexpr float meter_max_angle_ = tier4_autoware_utils::deg2rad(320.f);
+  static constexpr float meter_min_angle_ = autoware::universe_utils::deg2rad(40.f);
+  static constexpr float meter_max_angle_ = autoware::universe_utils::deg2rad(320.f);
   static constexpr int line_width_ = 2;
   static constexpr int hand_width_ = 4;
   struct Line  // for drawLine
diff --git a/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.cpp b/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.cpp
index 5a9f7e602efc7..8f7348c87be3c 100644
--- a/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.cpp
+++ b/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.cpp
@@ -212,14 +212,14 @@ void ConsoleMeterDisplay::updateVisualization()
   inner_arc_.y0 = line_width_ / 2.0;
   inner_arc_.x1 = w;
   inner_arc_.y1 = h;
-  inner_arc_.start_angle = tier4_autoware_utils::rad2deg(min_range_theta - M_PI);
-  inner_arc_.end_angle = tier4_autoware_utils::rad2deg(max_range_theta - min_range_theta);
+  inner_arc_.start_angle = autoware::universe_utils::rad2deg(min_range_theta - M_PI);
+  inner_arc_.end_angle = autoware::universe_utils::rad2deg(max_range_theta - min_range_theta);
   outer_arc_.x0 = w * 3 / 8;
   outer_arc_.y0 = h * 3 / 8;
   outer_arc_.x1 = w / 4;
   outer_arc_.y1 = h / 4;
-  outer_arc_.start_angle = tier4_autoware_utils::rad2deg(min_range_theta - M_PI);
-  outer_arc_.end_angle = tier4_autoware_utils::rad2deg(max_range_theta - min_range_theta);
+  outer_arc_.start_angle = autoware::universe_utils::rad2deg(min_range_theta - M_PI);
+  outer_arc_.end_angle = autoware::universe_utils::rad2deg(max_range_theta - min_range_theta);
 }
 
 }  // namespace rviz_plugins
diff --git a/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.hpp b/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.hpp
index 8f1a62fc35361..98cf8bbae4228 100644
--- a/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.hpp
+++ b/common/tier4_vehicle_rviz_plugin/src/tools/console_meter.hpp
@@ -21,12 +21,12 @@
 #ifndef Q_MOC_RUN
 #include "jsk_overlay_utils.hpp"
 
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <rviz_common/properties/color_property.hpp>
 #include <rviz_common/properties/float_property.hpp>
 #include <rviz_common/properties/int_property.hpp>
 #include <rviz_common/ros_topic_display.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <autoware_vehicle_msgs/msg/velocity_report.hpp>
 #endif
@@ -63,10 +63,10 @@ private Q_SLOTS:
   // QImage hud_;
 
 private:
-  static constexpr float meter_min_velocity_ = tier4_autoware_utils::kmph2mps(0.f);
-  static constexpr float meter_max_velocity_ = tier4_autoware_utils::kmph2mps(60.f);
-  static constexpr float meter_min_angle_ = tier4_autoware_utils::deg2rad(40.f);
-  static constexpr float meter_max_angle_ = tier4_autoware_utils::deg2rad(320.f);
+  static constexpr float meter_min_velocity_ = autoware::universe_utils::kmph2mps(0.f);
+  static constexpr float meter_max_velocity_ = autoware::universe_utils::kmph2mps(60.f);
+  static constexpr float meter_min_angle_ = autoware::universe_utils::deg2rad(40.f);
+  static constexpr float meter_max_angle_ = autoware::universe_utils::deg2rad(320.f);
   static constexpr int line_width_ = 2;
   static constexpr int hand_width_ = 4;
   struct Line  // for drawLine
diff --git a/common/traffic_light_recognition_marker_publisher/package.xml b/common/traffic_light_recognition_marker_publisher/package.xml
index 2b65c5b868313..71a3e5238b388 100644
--- a/common/traffic_light_recognition_marker_publisher/package.xml
+++ b/common/traffic_light_recognition_marker_publisher/package.xml
@@ -14,11 +14,11 @@
 
   <depend>autoware_map_msgs</depend>
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/common/tvm_utility/example/yolo_v2_tiny/main.cpp b/common/tvm_utility/example/yolo_v2_tiny/main.cpp
index 8fd0cde3c306d..38b3355ca38ba 100644
--- a/common/tvm_utility/example/yolo_v2_tiny/main.cpp
+++ b/common/tvm_utility/example/yolo_v2_tiny/main.cpp
@@ -120,7 +120,6 @@ class PostProcessorYoloV2Tiny : public tvm_utility::pipeline::PostProcessor<std:
     // Parse human readable names for the classes
     std::ifstream label_file{label_filename};
     if (!label_file.good()) {
-      std::string label_filename = label_filename;
       throw std::runtime_error("unable to open label file:" + label_filename);
     }
     std::string line{};
@@ -131,7 +130,6 @@ class PostProcessorYoloV2Tiny : public tvm_utility::pipeline::PostProcessor<std:
     // Get anchor values for this network from the anchor file
     std::ifstream anchor_file{anchor_filename};
     if (!anchor_file.good()) {
-      std::string anchor_filename = anchor_filename;
       throw std::runtime_error("unable to open anchor file:" + anchor_filename);
     }
     std::string first{};
diff --git a/control/autoware_autonomous_emergency_braking/CMakeLists.txt b/control/autoware_autonomous_emergency_braking/CMakeLists.txt
index 7f38e4387b452..85290c6c66730 100644
--- a/control/autoware_autonomous_emergency_braking/CMakeLists.txt
+++ b/control/autoware_autonomous_emergency_braking/CMakeLists.txt
@@ -12,11 +12,18 @@ include_directories(
   ${PCL_INCLUDE_DIRS}
 )
 
+ament_auto_add_library(autoware_autonomous_emergency_braking_helpers SHARED
+  include/autoware/autonomous_emergency_braking/utils.hpp
+  src/utils.cpp
+)
+
 set(AEB_NODE ${PROJECT_NAME}_node)
 ament_auto_add_library(${AEB_NODE} SHARED
+  include/autoware/autonomous_emergency_braking/node.hpp
   src/node.cpp
 )
 
+target_link_libraries(${AEB_NODE} autoware_autonomous_emergency_braking_helpers)
 rclcpp_components_register_node(${AEB_NODE}
   PLUGIN "autoware::motion::control::autonomous_emergency_braking::AEB"
   EXECUTABLE ${PROJECT_NAME}
diff --git a/control/autoware_autonomous_emergency_braking/README.md b/control/autoware_autonomous_emergency_braking/README.md
index 23f4476d9659d..2f3f5f08d4156 100644
--- a/control/autoware_autonomous_emergency_braking/README.md
+++ b/control/autoware_autonomous_emergency_braking/README.md
@@ -14,8 +14,6 @@ This module has following assumptions.
 
 - The current speed and angular velocity can be obtained from the sensors of the ego vehicle, and it uses point cloud as obstacles.
 
-![aeb_range](./image/range.drawio.svg)
-
 ### IMU path generation: steering angle vs IMU's angular velocity
 
 Currently, the IMU-based path is generated using the angular velocity obtained by the IMU itself. It has been suggested that the steering angle could be used instead onf the angular velocity.
@@ -34,38 +32,6 @@ Steering angle:
 
 For the moment, there are no plans to implement the steering angle on the path creation process of the AEB module.
 
-### Limitations
-
-- AEB might not be able to react with obstacles that are close to the ground. It depends on the performance of the pre-processing methods applied to the point cloud.
-
-- Longitudinal acceleration information obtained from sensors is not used due to the high amount of noise.
-
-- The accuracy of the predicted path created from sensor data depends on the accuracy of sensors attached to the ego vehicle.
-
-## Parameters
-
-| Name                              | Unit   | Type   | Description                                                                                                                                                                                     | Default value |
-| :-------------------------------- | :----- | :----- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------ |
-| publish_debug_pointcloud          | [-]    | bool   | flag to publish the point cloud used for debugging                                                                                                                                              | false         |
-| use_predicted_trajectory          | [-]    | bool   | flag to use the predicted path from the control module                                                                                                                                          | true          |
-| use_imu_path                      | [-]    | bool   | flag to use the predicted path generated by sensor data                                                                                                                                         | true          |
-| detection_range_min_height        | [m]    | double | minimum hight of detection range used for avoiding the ghost brake by false positive point clouds                                                                                               | 0.0           |
-| detection_range_max_height_margin | [m]    | double | margin for maximum hight of detection range used for avoiding the ghost brake by false positive point clouds. `detection_range_max_height = vehicle_height + detection_range_max_height_margin` | 0.0           |
-| voxel_grid_x                      | [m]    | double | down sampling parameters of x-axis for voxel grid filter                                                                                                                                        | 0.05          |
-| voxel_grid_y                      | [m]    | double | down sampling parameters of y-axis for voxel grid filter                                                                                                                                        | 0.05          |
-| voxel_grid_z                      | [m]    | double | down sampling parameters of z-axis for voxel grid filter                                                                                                                                        | 100000.0      |
-| min_generated_path_length         | [m]    | double | minimum distance for a predicted path generated by sensors                                                                                                                                      | 0.5           |
-| expand_width                      | [m]    | double | expansion width of the ego vehicle for the collision check                                                                                                                                      | 0.1           |
-| longitudinal_offset               | [m]    | double | longitudinal offset distance for collision check                                                                                                                                                | 2.0           |
-| t_response                        | [s]    | double | response time for the ego to detect the front vehicle starting deceleration                                                                                                                     | 1.0           |
-| a_ego_min                         | [m/ss] | double | maximum deceleration value of the ego vehicle                                                                                                                                                   | -3.0          |
-| a_obj_min                         | [m/ss] | double | maximum deceleration value of objects                                                                                                                                                           | -3.0          |
-| imu_prediction_time_horizon       | [s]    | double | time horizon of the predicted path generated by sensors                                                                                                                                         | 1.5           |
-| imu_prediction_time_interval      | [s]    | double | time interval of the predicted path generated by sensors                                                                                                                                        | 0.1           |
-| mpc_prediction_time_horizon       | [s]    | double | time horizon of the predicted path generated by mpc                                                                                                                                             | 1.5           |
-| mpc_prediction_time_interval      | [s]    | double | time interval of the predicted path generated by mpc                                                                                                                                            | 0.1           |
-| aeb_hz                            | [-]    | double | frequency at which AEB operates per second                                                                                                                                                      | 10            |
-
 ## Inner-workings / Algorithms
 
 AEB has the following steps before it outputs the emergency stop signal.
@@ -120,29 +86,29 @@ Furthermore, a 2D convex hull is created around each detected cluster, the verti
 
 #### Rigorous filtering
 
-After Noise filtering, it performs a geometric collision check to determine whether the filtered obstacles/hull vertices actually have possibility to collide with the ego vehicle. In this check, the ego vehicle is represented as a rectangle, and the point cloud obstacles are represented as points. Only the vertices with a possibility of collision are kept.
+After Noise filtering, the module performs a geometric collision check to determine whether the filtered obstacles/hull vertices actually have possibility to collide with the ego vehicle. In this check, the ego vehicle is represented as a rectangle, and the point cloud obstacles are represented as points. Only the vertices with a possibility of collision are kept. Finally, the vertex that is closest to the ego vehicle is chosen as the candidate for collision checking: Since rss distance is used to judge if a collision will happen or not, if the closest vertex to the ego is deemed to be safe, the rest of the vertices (and the points in the clusters) will also be safe.
 
 ![rigorous_filtering](./image/obstacle_filtering_2.drawio.svg)
 
-Finally, the vertex that is closest to the ego vehicle is chosen as the candidate for collision checking: Since rss distance is used to judge if a collision will happen or not, if the closest vertex to the ego is deemed to be safe, the rest of the vertices (and the points in the clusters) will also be safe.
-
 #### Obstacle velocity estimation
 
-Once the position of the closest obstacle/point is determined, the AEB modules uses the history of previously detected objects to estimate the closest object speed using the following equations:
+Once the position of the closest obstacle/point is determined, the AEB modules uses the history of previously detected objects to estimate the closest object relative speed using the following equations:
 
 $$
-d_{t} = o_{time stamp} - prev_{time stamp}
+d_{t} = t_{1} - t_{0}
 $$
 
 $$
-d_{pos} = norm(o_{pos} - prev_{pos})
+d_{x} = norm(o_{x} - prev_{x})
 $$
 
 $$
-v_{norm} = d_{pos} / d_{t}
+v_{norm} = d_{x} / d_{t}
 $$
 
-Where $o_{time stamp}$ and $prev_{time stamp}$ are the timestamps of the point clouds used to detect the current closest object and the closest object of the previous point cloud frame, and $o_{pos}$ and $prev_{pos}$ are the positions of those objects, respectively.
+Where $t_{1}$ and $t_{0}$ are the timestamps of the point clouds used to detect the current closest object and the closest object of the previous point cloud frame, and $o_{x}$ and $prev_{x}$ are the positions of those objects, respectively.
+
+![relative_speed](./image/object_relative_speed.drawio.svg)
 
 Finally, the velocity vector is compared against the ego's predicted path to get the longitudinal velocity $v_{obj}$:
 
@@ -150,12 +116,13 @@ $$
 v_{obj} = v_{norm} * Cos(yaw_{diff}) + v_{ego}
 $$
 
-where $yaw_{diff}$ is the difference in yaw between the ego path and the displacement vector $$v_{pos} = o_{pos} - prev_{pos} $$ and $v_{ego}$ is the ego's speed, which accounts for the movement of points caused by the ego moving and not the object.
-All these equations are performed disregarding the z axis (in 2D).
+where $yaw_{diff}$ is the difference in yaw between the ego path and the displacement vector $$v_{pos} = o_{pos} - prev_{pos} $$ and $v_{ego}$ is the ego's current speed, which accounts for the movement of points caused by the ego moving and not the object. All these equations are performed disregarding the z axis (in 2D).
 
-### 4. Collision check with target obstacles
+Note that, the object velocity is calculated against the ego's current movement direction. If the object moves in the opposite direction to the ego's movement, the object velocity is set to 0 m/s. That is because the RSS distance calculation assumes the ego and the object move in the same direction and it cannot deal with negative velocities.
 
-In the fourth step, it checks the collision with filtered obstacles using RSS distance. RSS is formulated as:
+### 4. Collision check with target obstacles using RSS distance
+
+In the fourth step, it checks the collision with the closest obstacle point using RSS distance. RSS distance is formulated as:
 
 $$
 d = v_{ego}*t_{response} + v_{ego}^2/(2*a_{min}) - v_{obj}^2/(2*a_{obj_{min}}) + offset
@@ -168,3 +135,66 @@ where $v_{ego}$ and $v_{obj}$ is current ego and obstacle velocity, $a_{min}$ an
 ### 5. Send emergency stop signals to `/diagnostics`
 
 If AEB detects collision with point cloud obstacles in the previous step, it sends emergency signal to `/diagnostics` in this step. Note that in order to enable emergency stop, it has to send ERROR level emergency. Moreover, AEB user should modify the setting file to keep the emergency level, otherwise Autoware does not hold the emergency state.
+
+## Use cases
+
+### Front vehicle suddenly brakes
+
+The AEB can activate when a vehicle in front suddenly brakes, and a collision is detected by the AEB module. Provided the distance between the ego vehicle and the front vehicle is large enough and the ego’s emergency acceleration value is high enough, it is possible to avoid or soften collisions with vehicles in front that suddenly brake. NOTE: the acceleration used by the AEB to calculate rss_distance is NOT necessarily the acceleration used by the ego while doing an emergency brake. The acceleration used by the real vehicle can be tuned by changing the [mrm_emergency stop jerk and acceleration values](https://github.com/tier4/autoware_launch/blob/d1b2688f2788acab95bb9995d72efd7182e9006a/autoware_launch/config/system/mrm_emergency_stop_operator/mrm_emergency_stop_operator.param.yaml#L4).
+
+![front vehicle collision prevention](./image/front_vehicle_collision.drawio.svg)
+
+### Stop for objects that appear suddenly
+
+When an object appears suddenly, the AEB can act as a fail-safe to stop the ego vehicle when other modules fail to detect the object on time. If sudden object cut ins are expected, it might be useful for the AEB module to detect collisions of objects BEFORE they enter the real ego vehicle path by increasing the `expand_width` parameter.
+
+![occluded object collision prevention](./image/occluded_space.drawio.svg)
+
+### Preventing Collisions with rear objects
+
+The AEB module can also prevent collisions when the ego vehicle is moving backwards.
+
+![backward driving](./image/backward-driving.drawio.svg)
+
+### Preventing collisions in case of wrong Odometry (IMU path only)
+
+When vehicle odometry information is faulty, it is possible that the MPC fails to predict a correct path for the ego vehicle. If the MPC predicted path is wrong, collision avoidance will not work as intended on the planning modules. However, the AEB’s IMU path does not depend on the MPC and could be able to predict a collision when the other modules cannot. As an example you can see a figure of a hypothetical case in which the MPC path is wrong and only the AEB’s IMU path detects a collision.
+
+![backward driving](./image/wrong-mpc.drawio.svg)
+
+## Parameters
+
+| Name                              | Unit   | Type   | Description                                                                                                                                                                                     | Default value |
+| :-------------------------------- | :----- | :----- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------ |
+| publish_debug_pointcloud          | [-]    | bool   | flag to publish the point cloud used for debugging                                                                                                                                              | false         |
+| use_predicted_trajectory          | [-]    | bool   | flag to use the predicted path from the control module                                                                                                                                          | true          |
+| use_imu_path                      | [-]    | bool   | flag to use the predicted path generated by sensor data                                                                                                                                         | true          |
+| use_object_velocity_calculation   | [-]    | bool   | flag to use the object velocity calculation. If set to false, object velocity is set to 0 [m/s]                                                                                                 | true          |
+| detection_range_min_height        | [m]    | double | minimum hight of detection range used for avoiding the ghost brake by false positive point clouds                                                                                               | 0.0           |
+| detection_range_max_height_margin | [m]    | double | margin for maximum hight of detection range used for avoiding the ghost brake by false positive point clouds. `detection_range_max_height = vehicle_height + detection_range_max_height_margin` | 0.0           |
+| voxel_grid_x                      | [m]    | double | down sampling parameters of x-axis for voxel grid filter                                                                                                                                        | 0.05          |
+| voxel_grid_y                      | [m]    | double | down sampling parameters of y-axis for voxel grid filter                                                                                                                                        | 0.05          |
+| voxel_grid_z                      | [m]    | double | down sampling parameters of z-axis for voxel grid filter                                                                                                                                        | 100000.0      |
+| min_generated_path_length         | [m]    | double | minimum distance for a predicted path generated by sensors                                                                                                                                      | 0.5           |
+| expand_width                      | [m]    | double | expansion width of the ego vehicle for the collision check                                                                                                                                      | 0.1           |
+| longitudinal_offset               | [m]    | double | longitudinal offset distance for collision check                                                                                                                                                | 2.0           |
+| t_response                        | [s]    | double | response time for the ego to detect the front vehicle starting deceleration                                                                                                                     | 1.0           |
+| a_ego_min                         | [m/ss] | double | maximum deceleration value of the ego vehicle                                                                                                                                                   | -3.0          |
+| a_obj_min                         | [m/ss] | double | maximum deceleration value of objects                                                                                                                                                           | -3.0          |
+| imu_prediction_time_horizon       | [s]    | double | time horizon of the predicted path generated by sensors                                                                                                                                         | 1.5           |
+| imu_prediction_time_interval      | [s]    | double | time interval of the predicted path generated by sensors                                                                                                                                        | 0.1           |
+| mpc_prediction_time_horizon       | [s]    | double | time horizon of the predicted path generated by mpc                                                                                                                                             | 1.5           |
+| mpc_prediction_time_interval      | [s]    | double | time interval of the predicted path generated by mpc                                                                                                                                            | 0.1           |
+| aeb_hz                            | [-]    | double | frequency at which AEB operates per second                                                                                                                                                      | 10            |
+
+## Limitations
+
+- AEB might not be able to react with obstacles that are close to the ground. It depends on the performance of the pre-processing methods applied to the point cloud.
+
+- Longitudinal acceleration information obtained from sensors is not used due to the high amount of noise.
+
+- The accuracy of the predicted path created from sensor data depends on the accuracy of sensors attached to the ego vehicle.
+
+- Currently, the module calculates thee closest object velocity if it goes in the same direction as the ego vehicle, otherwise the velocity is set to 0 m/s since RSS distance calculation does not use negative velocities.
+
+![aeb_range](./image/range.drawio.svg)
diff --git a/control/autoware_autonomous_emergency_braking/config/autonomous_emergency_braking.param.yaml b/control/autoware_autonomous_emergency_braking/config/autonomous_emergency_braking.param.yaml
index 68a42383feb1f..344d076197170 100644
--- a/control/autoware_autonomous_emergency_braking/config/autonomous_emergency_braking.param.yaml
+++ b/control/autoware_autonomous_emergency_braking/config/autonomous_emergency_braking.param.yaml
@@ -3,6 +3,9 @@
     # Ego path calculation
     use_predicted_trajectory: true
     use_imu_path: false
+    use_pointcloud_data: true
+    use_predicted_object_data: true
+    use_object_velocity_calculation: true
     min_generated_path_length: 0.5
     imu_prediction_time_horizon: 1.5
     imu_prediction_time_interval: 0.1
diff --git a/control/autoware_autonomous_emergency_braking/image/backward-driving.drawio.svg b/control/autoware_autonomous_emergency_braking/image/backward-driving.drawio.svg
new file mode 100644
index 0000000000000..4897078d28f00
--- /dev/null
+++ b/control/autoware_autonomous_emergency_braking/image/backward-driving.drawio.svg
@@ -0,0 +1,218 @@
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"
+          />
+        </switch>
+      </g>
+    </g>
+    <g>
+      <rect x="108.84" y="258" width="380" height="40" fill="none" stroke="none" pointer-events="all"/>
+    </g>
+    <g>
+      <g transform="translate(-0.5 -0.5)">
+        <switch>
+          <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
+            <div
+              xmlns="http://www.w3.org/1999/xhtml"
+              style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 1px; height: 1px; padding-top: 278px; margin-left: 299px;"
+            >
+              <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
+                <div style="display: inline-block; font-size: 18px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: nowrap;">
+                  Cropping the Point Cloud with extended path
+                </div>
               </div>
             </div>
-          </div>
-        </foreignObject>
-        <text x="140" y="289" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="12px" text-anchor="middle">Ignore point behind the ego vehicle</text>
-      </switch>
+          </foreignObject>
+          <image
+            x="120.5"
+            y="267.5"
+            width="357"
+            height="26.5"
+            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diff --git a/control/autoware_autonomous_emergency_braking/image/obstacle_filtering_2.drawio.svg b/control/autoware_autonomous_emergency_braking/image/obstacle_filtering_2.drawio.svg
index d0340892aa5e9..1d12fe233ad8e 100644
--- a/control/autoware_autonomous_emergency_braking/image/obstacle_filtering_2.drawio.svg
+++ b/control/autoware_autonomous_emergency_braking/image/obstacle_filtering_2.drawio.svg
@@ -1,32 +1,365 @@
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"
+          />
+        </switch>
+      </g>
+    </g>
+    <g>
+      <rect x="0" y="0" width="600" height="40" fill="none" stroke="none" pointer-events="all"/>
+    </g>
+    <g>
+      <g transform="translate(-0.5 -0.5)">
+        <switch>
+          <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
+            <div
+              xmlns="http://www.w3.org/1999/xhtml"
+              style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 1px; height: 1px; padding-top: 20px; margin-left: 300px;"
+            >
+              <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
+                <div style="display: inline-block; font-size: 18px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: nowrap;">
+                  Filter out points outside clusters and get a 2D convex hull of each cluster
+                </div>
+              </div>
+            </div>
+          </foreignObject>
+          <image
+            x="11"
+            y="9.5"
+            width="578"
+            height="26.5"
+            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"
+          />
+        </switch>
+      </g>
+    </g>
+    <g>
+      <rect x="142" y="268" width="370" height="40" fill="none" stroke="none" pointer-events="all"/>
+    </g>
+    <g>
+      <g transform="translate(-0.5 -0.5)">
+        <switch>
+          <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
+            <div
+              xmlns="http://www.w3.org/1999/xhtml"
+              style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 1px; height: 1px; padding-top: 288px; margin-left: 327px;"
+            >
+              <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
+                <div style="display: inline-block; font-size: 18px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: nowrap;">
+                  Find the closest vertex of the convex hull(s)
+                </div>
+              </div>
+            </div>
+          </foreignObject>
+          <image
+            x="154"
+            y="277.5"
+            width="346"
+            height="26.5"
+            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"
+          />
+        </switch>
+      </g>
+    </g>
+  </g>
+</svg>
diff --git a/control/autoware_autonomous_emergency_braking/image/rss_check.drawio.svg b/control/autoware_autonomous_emergency_braking/image/rss_check.drawio.svg
index 71d6e6ff8932c..2d1716519631d 100644
--- a/control/autoware_autonomous_emergency_braking/image/rss_check.drawio.svg
+++ b/control/autoware_autonomous_emergency_braking/image/rss_check.drawio.svg
@@ -1,76 +1,134 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<!-- Do not edit this file with editors other than diagrams.net -->
+<!-- Do not edit this file with editors other than draw.io -->
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 <svg
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index 0000000000000..a829cb60ec7d6
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"
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+                        width="70px;"
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+                  </div>
+                </div>
+              </div>
+            </foreignObject>
+            <image
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+              y="12.5"
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+            width="34"
+            height="15.75"
+            xlink:href="data:image/png;base64,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"
+          />
+        </switch>
+      </g>
+    </g>
+  </g>
+</svg>
diff --git a/control/autoware_autonomous_emergency_braking/include/autoware_autonomous_emergency_braking/node.hpp b/control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/node.hpp
similarity index 85%
rename from control/autoware_autonomous_emergency_braking/include/autoware_autonomous_emergency_braking/node.hpp
rename to control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/node.hpp
index aca096aac1d82..8c454d5d583b6 100644
--- a/control/autoware_autonomous_emergency_braking/include/autoware_autonomous_emergency_braking/node.hpp
+++ b/control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/node.hpp
@@ -12,17 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
-#define AUTOWARE_AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
+#ifndef AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
+#define AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
 
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <pcl_ros/transforms.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
 
+#include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
 #include <autoware_system_msgs/msg/autoware_state.hpp>
 #include <autoware_vehicle_msgs/msg/velocity_report.hpp>
@@ -59,15 +60,18 @@ using nav_msgs::msg::Odometry;
 using sensor_msgs::msg::Imu;
 using sensor_msgs::msg::PointCloud2;
 using PointCloud = pcl::PointCloud<pcl::PointXYZ>;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware::vehicle_info_utils::VehicleInfo;
 using diagnostic_updater::DiagnosticStatusWrapper;
 using diagnostic_updater::Updater;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
 using Path = std::vector<geometry_msgs::msg::Pose>;
 using Vector3 = geometry_msgs::msg::Vector3;
+using autoware_perception_msgs::msg::PredictedObject;
+using autoware_perception_msgs::msg::PredictedObjects;
+
 struct ObjectData
 {
   rclcpp::Time stamp;
@@ -176,6 +180,13 @@ class CollisionDataKeeper
   std::optional<double> calcObjectSpeedFromHistory(
     const ObjectData & closest_object, const Path & path, const double current_ego_speed)
   {
+    // in case the object comes from predicted objects info, we reuse the speed.
+    if (closest_object.velocity > 0.0) {
+      this->setPreviousObjectData(closest_object);
+      this->updateVelocityHistory(closest_object.velocity, closest_object.stamp);
+      return this->getMedianObstacleVelocity();
+    }
+
     if (this->checkPreviousObjectDataExpired()) {
       this->setPreviousObjectData(closest_object);
       this->resetVelocityHistory();
@@ -196,7 +207,8 @@ class CollisionDataKeeper
       const double p_yaw = std::atan2(p_dy, p_dx);
       const double p_vel = p_dist / p_dt;
 
-      const auto nearest_idx = motion_utils::findNearestIndex(path, nearest_collision_point);
+      const auto nearest_idx =
+        autoware::motion_utils::findNearestIndex(path, nearest_collision_point);
       const auto & nearest_path_pose = path.at(nearest_idx);
       // When the ego moves backwards, the direction of movement axis is reversed
       const auto & traj_yaw = (current_ego_speed > 0.0)
@@ -229,27 +241,22 @@ class CollisionDataKeeper
   rclcpp::Clock::SharedPtr clock_;
 };
 
-static rclcpp::SensorDataQoS SingleDepthSensorQoS()
-{
-  rclcpp::SensorDataQoS qos;
-  qos.get_rmw_qos_profile().depth = 1;
-  return qos;
-}
-
 class AEB : public rclcpp::Node
 {
 public:
   explicit AEB(const rclcpp::NodeOptions & node_options);
 
   // subscriber
-  tier4_autoware_utils::InterProcessPollingSubscriber<PointCloud2> sub_point_cloud_{
-    this, "~/input/pointcloud", SingleDepthSensorQoS()};
-  tier4_autoware_utils::InterProcessPollingSubscriber<VelocityReport> sub_velocity_{
+  autoware::universe_utils::InterProcessPollingSubscriber<PointCloud2> sub_point_cloud_{
+    this, "~/input/pointcloud", autoware::universe_utils::SingleDepthSensorQoS()};
+  autoware::universe_utils::InterProcessPollingSubscriber<VelocityReport> sub_velocity_{
     this, "~/input/velocity"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Imu> sub_imu_{this, "~/input/imu"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Trajectory> sub_predicted_traj_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Imu> sub_imu_{this, "~/input/imu"};
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> sub_predicted_traj_{
     this, "~/input/predicted_trajectory"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<AutowareState> sub_autoware_state_{
+  autoware::universe_utils::InterProcessPollingSubscriber<PredictedObjects> predicted_objects_sub_{
+    this, "~/input/objects"};
+  autoware::universe_utils::InterProcessPollingSubscriber<AutowareState> sub_autoware_state_{
     this, "/autoware/state"};
   // publisher
   rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::SharedPtr pub_obstacle_pointcloud_;
@@ -281,6 +288,10 @@ class AEB : public rclcpp::Node
     std::vector<ObjectData> & objects,
     const pcl::PointCloud<pcl::PointXYZ>::Ptr obstacle_points_ptr);
 
+  void createObjectDataUsingPredictedObjects(
+    const Path & ego_path, const std::vector<Polygon2d> & ego_polys,
+    std::vector<ObjectData> & objects);
+
   void cropPointCloudWithEgoFootprintPath(
     const std::vector<Polygon2d> & ego_polys, pcl::PointCloud<pcl::PointXYZ>::Ptr filtered_objects);
 
@@ -304,6 +315,7 @@ class AEB : public rclcpp::Node
   VelocityReport::ConstSharedPtr current_velocity_ptr_{nullptr};
   Vector3::SharedPtr angular_velocity_ptr_{nullptr};
   Trajectory::ConstSharedPtr predicted_traj_ptr_{nullptr};
+  PredictedObjects::ConstSharedPtr predicted_objects_ptr_{nullptr};
   AutowareState::ConstSharedPtr autoware_state_{nullptr};
 
   tf2_ros::Buffer tf_buffer_{get_clock()};
@@ -319,6 +331,9 @@ class AEB : public rclcpp::Node
   bool publish_debug_pointcloud_;
   bool use_predicted_trajectory_;
   bool use_imu_path_;
+  bool use_pointcloud_data_;
+  bool use_predicted_object_data_;
+  bool use_object_velocity_calculation_;
   double path_footprint_extra_margin_;
   double detection_range_min_height_;
   double detection_range_max_height_margin_;
@@ -344,4 +359,4 @@ class AEB : public rclcpp::Node
 };
 }  // namespace autoware::motion::control::autonomous_emergency_braking
 
-#endif  // AUTOWARE_AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
+#endif  // AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__NODE_HPP_
diff --git a/control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/utils.hpp b/control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/utils.hpp
new file mode 100644
index 0000000000000..64bedd2163912
--- /dev/null
+++ b/control/autoware_autonomous_emergency_braking/include/autoware/autonomous_emergency_braking/utils.hpp
@@ -0,0 +1,88 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__UTILS_HPP_
+#define AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__UTILS_HPP_
+
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+
+#include <autoware_perception_msgs/msg/predicted_objects.hpp>
+#include <geometry_msgs/msg/point.hpp>
+#include <geometry_msgs/msg/pose.hpp>
+
+#include <boost/geometry/algorithms/correct.hpp>
+
+#include <tf2/utils.h>
+#ifdef ROS_DISTRO_GALACTIC
+#include <tf2_eigen/tf2_eigen.h>
+#include <tf2_geometry_msgs/tf2_geometry_msgs.h>
+#else
+#include <tf2_eigen/tf2_eigen.hpp>
+
+#include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
+#endif
+
+#include <vector>
+
+namespace autoware::motion::control::autonomous_emergency_braking::utils
+{
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware_perception_msgs::msg::PredictedObject;
+using autoware_perception_msgs::msg::PredictedObjects;
+using geometry_msgs::msg::Point;
+using geometry_msgs::msg::Pose;
+using geometry_msgs::msg::TransformStamped;
+
+/**
+ * @brief Apply a transform to a predicted object
+ * @param input the predicted object
+ * @param transform_stamped the tf2 transform
+ */
+PredictedObject transformObjectFrame(
+  const PredictedObject & input, geometry_msgs::msg::TransformStamped transform_stamped);
+
+/**
+ * @brief Get the predicted objects polygon as a geometry polygon
+ * @param current_pose the predicted object's pose
+ * @param obj_shape the object's shape
+ */
+Polygon2d convertPolygonObjectToGeometryPolygon(
+  const Pose & current_pose, const autoware_perception_msgs::msg::Shape & obj_shape);
+
+/**
+ * @brief Get the predicted objects cylindrical shape as a geometry polygon
+ * @param current_pose the predicted object's pose
+ * @param obj_shape the object's shape
+ */
+Polygon2d convertCylindricalObjectToGeometryPolygon(
+  const Pose & current_pose, const autoware_perception_msgs::msg::Shape & obj_shape);
+
+/**
+ * @brief Get the predicted objects bounding box shape as a geometry polygon
+ * @param current_pose the predicted object's pose
+ * @param obj_shape the object's shape
+ */
+Polygon2d convertBoundingBoxObjectToGeometryPolygon(
+  const Pose & current_pose, const double & base_to_front, const double & base_to_rear,
+  const double & base_to_width);
+
+/**
+ * @brief Get the predicted object's shape as a geometry polygon
+ * @param obj the object
+ */
+Polygon2d convertObjToPolygon(const PredictedObject & obj);
+}  // namespace autoware::motion::control::autonomous_emergency_braking::utils
+
+#endif  // AUTOWARE__AUTONOMOUS_EMERGENCY_BRAKING__UTILS_HPP_
diff --git a/control/autoware_autonomous_emergency_braking/launch/autoware_autonomous_emergency_braking.launch.xml b/control/autoware_autonomous_emergency_braking/launch/autoware_autonomous_emergency_braking.launch.xml
index 75b1a9dcf822d..fe0df41ca89c7 100644
--- a/control/autoware_autonomous_emergency_braking/launch/autoware_autonomous_emergency_braking.launch.xml
+++ b/control/autoware_autonomous_emergency_braking/launch/autoware_autonomous_emergency_braking.launch.xml
@@ -5,6 +5,7 @@
   <arg name="input_imu" default="/sensing/imu/imu_data"/>
   <arg name="input_odometry" default="/localization/kinematic_state"/>
   <arg name="input_predicted_trajectory" default="/control/trajectory_follower/lateral/predicted_trajectory"/>
+  <arg name="input_objects" default="/perception/object_recognition/objects"/>
 
   <node pkg="autoware_autonomous_emergency_braking" exec="autoware_autonomous_emergency_braking" name="autonomous_emergency_braking" output="screen">
     <!-- load config files -->
@@ -15,5 +16,6 @@
     <remap from="~/input/imu" to="$(var input_imu)"/>
     <remap from="~/input/odometry" to="$(var input_odometry)"/>
     <remap from="~/input/predicted_trajectory" to="$(var input_predicted_trajectory)"/>
+    <remap from="~/input/objects" to="$(var input_objects)"/>
   </node>
 </launch>
diff --git a/control/autoware_autonomous_emergency_braking/package.xml b/control/autoware_autonomous_emergency_braking/package.xml
index 0404eec7ca308..c822adb510805 100644
--- a/control/autoware_autonomous_emergency_braking/package.xml
+++ b/control/autoware_autonomous_emergency_braking/package.xml
@@ -15,13 +15,14 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pcl_conversions</depend>
   <depend>pcl_ros</depend>
@@ -34,7 +35,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/control/autoware_autonomous_emergency_braking/src/node.cpp b/control/autoware_autonomous_emergency_braking/src/node.cpp
index 1d977b58e9ceb..fca3341680997 100644
--- a/control/autoware_autonomous_emergency_braking/src/node.cpp
+++ b/control/autoware_autonomous_emergency_braking/src/node.cpp
@@ -12,16 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_autonomous_emergency_braking/node.hpp"
-
+#include <autoware/autonomous_emergency_braking/node.hpp>
+#include <autoware/autonomous_emergency_braking/utils.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
+
+#include <geometry_msgs/msg/polygon.hpp>
 
 #include <boost/geometry/algorithms/convex_hull.hpp>
+#include <boost/geometry/algorithms/correct.hpp>
+#include <boost/geometry/algorithms/intersection.hpp>
 #include <boost/geometry/algorithms/within.hpp>
 #include <boost/geometry/strategies/agnostic/hull_graham_andrew.hpp>
 
@@ -46,6 +50,7 @@
 
 namespace autoware::motion::control::autonomous_emergency_braking
 {
+using autoware::motion::control::autonomous_emergency_braking::utils::convertObjToPolygon;
 using diagnostic_msgs::msg::DiagnosticStatus;
 namespace bg = boost::geometry;
 
@@ -70,33 +75,37 @@ Polygon2d createPolygon(
 
   appendPointToPolygon(
     polygon,
-    tier4_autoware_utils::calcOffsetPose(base_pose, longitudinal_offset, width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(base_pose, longitudinal_offset, width, 0.0).position);
   appendPointToPolygon(
     polygon,
-    tier4_autoware_utils::calcOffsetPose(base_pose, longitudinal_offset, -width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(base_pose, longitudinal_offset, -width, 0.0).position);
   appendPointToPolygon(
-    polygon, tier4_autoware_utils::calcOffsetPose(base_pose, -rear_overhang, -width, 0.0).position);
+    polygon,
+    autoware::universe_utils::calcOffsetPose(base_pose, -rear_overhang, -width, 0.0).position);
   appendPointToPolygon(
-    polygon, tier4_autoware_utils::calcOffsetPose(base_pose, -rear_overhang, width, 0.0).position);
+    polygon,
+    autoware::universe_utils::calcOffsetPose(base_pose, -rear_overhang, width, 0.0).position);
 
   appendPointToPolygon(
     polygon,
-    tier4_autoware_utils::calcOffsetPose(next_pose, longitudinal_offset, width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(next_pose, longitudinal_offset, width, 0.0).position);
   appendPointToPolygon(
     polygon,
-    tier4_autoware_utils::calcOffsetPose(next_pose, longitudinal_offset, -width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(next_pose, longitudinal_offset, -width, 0.0).position);
   appendPointToPolygon(
-    polygon, tier4_autoware_utils::calcOffsetPose(next_pose, -rear_overhang, -width, 0.0).position);
+    polygon,
+    autoware::universe_utils::calcOffsetPose(next_pose, -rear_overhang, -width, 0.0).position);
   appendPointToPolygon(
-    polygon, tier4_autoware_utils::calcOffsetPose(next_pose, -rear_overhang, width, 0.0).position);
+    polygon,
+    autoware::universe_utils::calcOffsetPose(next_pose, -rear_overhang, width, 0.0).position);
 
-  polygon = tier4_autoware_utils::isClockwise(polygon)
+  polygon = autoware::universe_utils::isClockwise(polygon)
               ? polygon
-              : tier4_autoware_utils::inverseClockwise(polygon);
+              : autoware::universe_utils::inverseClockwise(polygon);
 
   Polygon2d hull_polygon;
   bg::convex_hull(polygon, hull_polygon);
-
+  bg::correct(hull_polygon);
   return hull_polygon;
 }
 
@@ -120,6 +129,9 @@ AEB::AEB(const rclcpp::NodeOptions & node_options)
   publish_debug_pointcloud_ = declare_parameter<bool>("publish_debug_pointcloud");
   use_predicted_trajectory_ = declare_parameter<bool>("use_predicted_trajectory");
   use_imu_path_ = declare_parameter<bool>("use_imu_path");
+  use_pointcloud_data_ = declare_parameter<bool>("use_pointcloud_data");
+  use_predicted_object_data_ = declare_parameter<bool>("use_predicted_object_data");
+  use_object_velocity_calculation_ = declare_parameter<bool>("use_object_velocity_calculation");
   path_footprint_extra_margin_ = declare_parameter<double>("path_footprint_extra_margin");
   detection_range_min_height_ = declare_parameter<double>("detection_range_min_height");
   detection_range_max_height_margin_ =
@@ -163,10 +175,14 @@ AEB::AEB(const rclcpp::NodeOptions & node_options)
 rcl_interfaces::msg::SetParametersResult AEB::onParameter(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
   updateParam<bool>(parameters, "publish_debug_pointcloud", publish_debug_pointcloud_);
   updateParam<bool>(parameters, "use_predicted_trajectory", use_predicted_trajectory_);
   updateParam<bool>(parameters, "use_imu_path", use_imu_path_);
+  updateParam<bool>(parameters, "use_pointcloud_data", use_pointcloud_data_);
+  updateParam<bool>(parameters, "use_predicted_object_data", use_predicted_object_data_);
+  updateParam<bool>(
+    parameters, "use_object_velocity_calculation", use_object_velocity_calculation_);
   updateParam<double>(parameters, "path_footprint_extra_margin", path_footprint_extra_margin_);
   updateParam<double>(parameters, "detection_range_min_height", detection_range_min_height_);
   updateParam<double>(
@@ -291,13 +307,31 @@ bool AEB::fetchLatestData()
     return missing("ego velocity");
   }
 
-  const auto pointcloud_ptr = sub_point_cloud_.takeData();
-  if (!pointcloud_ptr) {
-    return missing("object pointcloud message");
+  if (use_pointcloud_data_) {
+    const auto pointcloud_ptr = sub_point_cloud_.takeData();
+    if (!pointcloud_ptr) {
+      return missing("object pointcloud message");
+    }
+
+    onPointCloud(pointcloud_ptr);
+    if (!obstacle_ros_pointcloud_ptr_) {
+      return missing("object pointcloud");
+    }
+  } else {
+    obstacle_ros_pointcloud_ptr_.reset();
   }
-  onPointCloud(pointcloud_ptr);
-  if (!obstacle_ros_pointcloud_ptr_) {
-    return missing("object pointcloud");
+
+  if (use_predicted_object_data_) {
+    predicted_objects_ptr_ = predicted_objects_sub_.takeData();
+    if (!predicted_objects_ptr_) {
+      return missing("predicted objects");
+    }
+  } else {
+    predicted_objects_ptr_.reset();
+  }
+
+  if (!obstacle_ros_pointcloud_ptr_ && !predicted_objects_ptr_) {
+    return missing("object detection method (pointcloud or predicted objects)");
   }
 
   const auto imu_ptr = sub_imu_.takeData();
@@ -374,31 +408,39 @@ bool AEB::checkCollision(MarkerArray & debug_markers)
                            const auto & path, const colorTuple & debug_colors,
                            const std::string & debug_ns,
                            pcl::PointCloud<pcl::PointXYZ>::Ptr filtered_objects) {
-    // Crop out Pointcloud using an extra wide ego path
-    const auto expanded_ego_polys =
-      generatePathFootprint(path, expand_width_ + path_footprint_extra_margin_);
-    cropPointCloudWithEgoFootprintPath(expanded_ego_polys, filtered_objects);
-
     // Check which points of the cropped point cloud are on the ego path, and get the closest one
-    std::vector<ObjectData> objects_from_point_clusters;
     const auto ego_polys = generatePathFootprint(path, expand_width_);
-    const auto current_time = obstacle_ros_pointcloud_ptr_->header.stamp;
-    createObjectDataUsingPointCloudClusters(
-      path, ego_polys, current_time, objects_from_point_clusters, filtered_objects);
+    auto objects = std::invoke([&]() {
+      std::vector<ObjectData> objects;
+      // Crop out Pointcloud using an extra wide ego path
+      if (use_pointcloud_data_) {
+        const auto expanded_ego_polys =
+          generatePathFootprint(path, expand_width_ + path_footprint_extra_margin_);
+        cropPointCloudWithEgoFootprintPath(expanded_ego_polys, filtered_objects);
+        const auto current_time = obstacle_ros_pointcloud_ptr_->header.stamp;
+        createObjectDataUsingPointCloudClusters(
+          path, ego_polys, current_time, objects, filtered_objects);
+      }
+      if (use_predicted_object_data_) {
+        createObjectDataUsingPredictedObjects(path, ego_polys, objects);
+      }
+      return objects;
+    });
 
     // Get only the closest object and calculate its speed
     const auto closest_object_point = std::invoke([&]() -> std::optional<ObjectData> {
-      const auto closest_object_point_itr = std::min_element(
-        objects_from_point_clusters.begin(), objects_from_point_clusters.end(),
-        [](const auto & o1, const auto & o2) {
+      const auto closest_object_point_itr =
+        std::min_element(objects.begin(), objects.end(), [](const auto & o1, const auto & o2) {
           return o1.distance_to_object < o2.distance_to_object;
         });
 
-      if (closest_object_point_itr == objects_from_point_clusters.end()) {
+      if (closest_object_point_itr == objects.end()) {
         return std::nullopt;
       }
-      const auto closest_object_speed = collision_data_keeper_.calcObjectSpeedFromHistory(
-        *closest_object_point_itr, path, current_v);
+      const auto closest_object_speed = (use_object_velocity_calculation_)
+                                          ? collision_data_keeper_.calcObjectSpeedFromHistory(
+                                              *closest_object_point_itr, path, current_v)
+                                          : std::make_optional<double>(0.0);
       if (!closest_object_speed.has_value()) {
         return std::nullopt;
       }
@@ -410,8 +452,8 @@ bool AEB::checkCollision(MarkerArray & debug_markers)
     {
       const auto [color_r, color_g, color_b, color_a] = debug_colors;
       addMarker(
-        this->get_clock()->now(), path, ego_polys, objects_from_point_clusters,
-        closest_object_point, color_r, color_g, color_b, color_a, debug_ns, debug_markers);
+        this->get_clock()->now(), path, ego_polys, objects, closest_object_point, color_r, color_g,
+        color_b, color_a, debug_ns, debug_markers);
     }
     // check collision using rss distance
     return (closest_object_point.has_value())
@@ -453,9 +495,9 @@ bool AEB::checkCollision(MarkerArray & debug_markers)
 
   // Debug print
   if (!filtered_objects->empty() && publish_debug_pointcloud_) {
-    const auto filtered_objects_ros_pointcloud_ptr_ = std::make_shared<PointCloud2>();
-    pcl::toROSMsg(*filtered_objects, *filtered_objects_ros_pointcloud_ptr_);
-    pub_obstacle_pointcloud_->publish(*filtered_objects_ros_pointcloud_ptr_);
+    const auto filtered_objects_ros_pointcloud_ptr = std::make_shared<PointCloud2>();
+    pcl::toROSMsg(*filtered_objects, *filtered_objects_ros_pointcloud_ptr);
+    pub_obstacle_pointcloud_->publish(*filtered_objects_ros_pointcloud_ptr);
   }
   return has_collision;
 }
@@ -485,8 +527,8 @@ Path AEB::generateEgoPath(const double curr_v, const double curr_w)
   double curr_y = 0.0;
   double curr_yaw = 0.0;
   geometry_msgs::msg::Pose ini_pose;
-  ini_pose.position = tier4_autoware_utils::createPoint(curr_x, curr_y, 0.0);
-  ini_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(curr_yaw);
+  ini_pose.position = autoware::universe_utils::createPoint(curr_x, curr_y, 0.0);
+  ini_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(curr_yaw);
   path.push_back(ini_pose);
 
   if (std::abs(curr_v) < 0.1) {
@@ -502,23 +544,23 @@ Path AEB::generateEgoPath(const double curr_v, const double curr_w)
     curr_y = curr_y + curr_v * std::sin(curr_yaw) * dt;
     curr_yaw = curr_yaw + curr_w * dt;
     geometry_msgs::msg::Pose current_pose;
-    current_pose.position = tier4_autoware_utils::createPoint(curr_x, curr_y, 0.0);
-    current_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(curr_yaw);
-    if (tier4_autoware_utils::calcDistance2d(path.back(), current_pose) < 1e-3) {
+    current_pose.position = autoware::universe_utils::createPoint(curr_x, curr_y, 0.0);
+    current_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(curr_yaw);
+    if (autoware::universe_utils::calcDistance2d(path.back(), current_pose) < 1e-3) {
       continue;
     }
     path.push_back(current_pose);
   }
 
   // If path is shorter than minimum path length
-  while (motion_utils::calcArcLength(path) < min_generated_path_length_) {
+  while (autoware::motion_utils::calcArcLength(path) < min_generated_path_length_) {
     curr_x = curr_x + curr_v * std::cos(curr_yaw) * dt;
     curr_y = curr_y + curr_v * std::sin(curr_yaw) * dt;
     curr_yaw = curr_yaw + curr_w * dt;
     geometry_msgs::msg::Pose current_pose;
-    current_pose.position = tier4_autoware_utils::createPoint(curr_x, curr_y, 0.0);
-    current_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(curr_yaw);
-    if (tier4_autoware_utils::calcDistance2d(path.back(), current_pose) < 1e-3) {
+    current_pose.position = autoware::universe_utils::createPoint(curr_x, curr_y, 0.0);
+    current_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(curr_yaw);
+    if (autoware::universe_utils::calcDistance2d(path.back(), current_pose) < 1e-3) {
       continue;
     }
     path.push_back(current_pose);
@@ -568,6 +610,93 @@ std::vector<Polygon2d> AEB::generatePathFootprint(
   return polygons;
 }
 
+void AEB::createObjectDataUsingPredictedObjects(
+  const Path & ego_path, const std::vector<Polygon2d> & ego_polys,
+  std::vector<ObjectData> & object_data_vector)
+{
+  if (predicted_objects_ptr_->objects.empty()) return;
+
+  const double current_ego_speed = current_velocity_ptr_->longitudinal_velocity;
+  const auto & objects = predicted_objects_ptr_->objects;
+  const auto & stamp = predicted_objects_ptr_->header.stamp;
+
+  // Ego position
+  const auto current_p = [&]() {
+    const auto & first_point_of_path = ego_path.front();
+    const auto & p = first_point_of_path.position;
+    return autoware::universe_utils::createPoint(p.x, p.y, p.z);
+  }();
+
+  auto get_object_tangent_velocity =
+    [&](const PredictedObject & predicted_object, const auto & obj_pose) {
+      const double obj_vel_norm = std::hypot(
+        predicted_object.kinematics.initial_twist_with_covariance.twist.linear.x,
+        predicted_object.kinematics.initial_twist_with_covariance.twist.linear.y);
+
+      const auto obj_yaw = tf2::getYaw(obj_pose.orientation);
+      const auto obj_idx = autoware::motion_utils::findNearestIndex(ego_path, obj_pose.position);
+      const auto path_yaw = (current_ego_speed > 0.0)
+                              ? tf2::getYaw(ego_path.at(obj_idx).orientation)
+                              : tf2::getYaw(ego_path.at(obj_idx).orientation) + M_PI;
+      return obj_vel_norm * std::cos(obj_yaw - path_yaw);
+    };
+
+  geometry_msgs::msg::TransformStamped transform_stamped{};
+  try {
+    transform_stamped = tf_buffer_.lookupTransform(
+      "base_link", predicted_objects_ptr_->header.frame_id, stamp,
+      rclcpp::Duration::from_seconds(0.5));
+  } catch (tf2::TransformException & ex) {
+    RCLCPP_ERROR_STREAM(get_logger(), "[AEB] Failed to look up transform from base_link to map");
+    return;
+  }
+
+  // Check which objects collide with the ego footprints
+  std::for_each(objects.begin(), objects.end(), [&](const auto & predicted_object) {
+    // get objects in base_link frame
+    const auto t_predicted_object =
+      utils::transformObjectFrame(predicted_object, transform_stamped);
+    const auto & obj_pose = t_predicted_object.kinematics.initial_pose_with_covariance.pose;
+    const auto obj_poly = convertObjToPolygon(t_predicted_object);
+    const double obj_tangent_velocity = get_object_tangent_velocity(t_predicted_object, obj_pose);
+
+    for (const auto & ego_poly : ego_polys) {
+      // check collision with 2d polygon
+      std::vector<Point2d> collision_points_bg;
+      bg::intersection(ego_poly, obj_poly, collision_points_bg);
+      if (collision_points_bg.empty()) continue;
+
+      // Create an object for each intersection point
+      bool collision_points_added{false};
+      for (const auto & collision_point : collision_points_bg) {
+        const auto obj_position =
+          autoware::universe_utils::createPoint(collision_point.x(), collision_point.y(), 0.0);
+        const double obj_arc_length =
+          autoware::motion_utils::calcSignedArcLength(ego_path, current_p, obj_position);
+        if (std::isnan(obj_arc_length)) continue;
+
+        // If the object is behind the ego, we need to use the backward long offset. The
+        // distance should be a positive number in any case
+        const bool is_object_in_front_of_ego = obj_arc_length > 0.0;
+        const double dist_ego_to_object =
+          (is_object_in_front_of_ego) ? obj_arc_length - vehicle_info_.max_longitudinal_offset_m
+                                      : obj_arc_length + vehicle_info_.min_longitudinal_offset_m;
+
+        ObjectData obj;
+        obj.stamp = stamp;
+        obj.position = obj_position;
+        obj.velocity = (obj_tangent_velocity > 0.0) ? obj_tangent_velocity : 0.0;
+        obj.distance_to_object = std::abs(dist_ego_to_object);
+        object_data_vector.push_back(obj);
+        collision_points_added = true;
+      }
+      // The ego polygons are in order, so the first intersection points found are the closest
+      // points. It is not necessary to continue iterating the ego polys for the same object.
+      if (collision_points_added) break;
+    }
+  });
+}
+
 void AEB::createObjectDataUsingPointCloudClusters(
   const Path & ego_path, const std::vector<Polygon2d> & ego_polys, const rclcpp::Time & stamp,
   std::vector<ObjectData> & objects, const pcl::PointCloud<pcl::PointXYZ>::Ptr obstacle_points_ptr)
@@ -615,13 +744,13 @@ void AEB::createObjectDataUsingPointCloudClusters(
   const auto current_p = [&]() {
     const auto & first_point_of_path = ego_path.front();
     const auto & p = first_point_of_path.position;
-    return tier4_autoware_utils::createPoint(p.x, p.y, p.z);
+    return autoware::universe_utils::createPoint(p.x, p.y, p.z);
   }();
 
   for (const auto & p : *points_belonging_to_cluster_hulls) {
-    const auto obj_position = tier4_autoware_utils::createPoint(p.x, p.y, p.z);
+    const auto obj_position = autoware::universe_utils::createPoint(p.x, p.y, p.z);
     const double obj_arc_length =
-      motion_utils::calcSignedArcLength(ego_path, current_p, obj_position);
+      autoware::motion_utils::calcSignedArcLength(ego_path, current_p, obj_position);
     if (std::isnan(obj_arc_length)) continue;
 
     // If the object is behind the ego, we need to use the backward long offset. The distance should
@@ -683,36 +812,38 @@ void AEB::addMarker(
   const double color_r, const double color_g, const double color_b, const double color_a,
   const std::string & ns, MarkerArray & debug_markers)
 {
-  auto path_marker = tier4_autoware_utils::createDefaultMarker(
+  auto path_marker = autoware::universe_utils::createDefaultMarker(
     "base_link", current_time, ns + "_path", 0L, Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(0.2, 0.2, 0.2),
-    tier4_autoware_utils::createMarkerColor(color_r, color_g, color_b, color_a));
+    autoware::universe_utils::createMarkerScale(0.2, 0.2, 0.2),
+    autoware::universe_utils::createMarkerColor(color_r, color_g, color_b, color_a));
   path_marker.points.resize(path.size());
   for (size_t i = 0; i < path.size(); ++i) {
     path_marker.points.at(i) = path.at(i).position;
   }
   debug_markers.markers.push_back(path_marker);
 
-  auto polygon_marker = tier4_autoware_utils::createDefaultMarker(
+  auto polygon_marker = autoware::universe_utils::createDefaultMarker(
     "base_link", current_time, ns + "_polygon", 0, Marker::LINE_LIST,
-    tier4_autoware_utils::createMarkerScale(0.03, 0.0, 0.0),
-    tier4_autoware_utils::createMarkerColor(color_r, color_g, color_b, color_a));
+    autoware::universe_utils::createMarkerScale(0.03, 0.0, 0.0),
+    autoware::universe_utils::createMarkerColor(color_r, color_g, color_b, color_a));
   for (const auto & poly : polygons) {
     for (size_t dp_idx = 0; dp_idx < poly.outer().size(); ++dp_idx) {
       const auto & boost_cp = poly.outer().at(dp_idx);
       const auto & boost_np = poly.outer().at((dp_idx + 1) % poly.outer().size());
-      const auto curr_point = tier4_autoware_utils::createPoint(boost_cp.x(), boost_cp.y(), 0.0);
-      const auto next_point = tier4_autoware_utils::createPoint(boost_np.x(), boost_np.y(), 0.0);
+      const auto curr_point =
+        autoware::universe_utils::createPoint(boost_cp.x(), boost_cp.y(), 0.0);
+      const auto next_point =
+        autoware::universe_utils::createPoint(boost_np.x(), boost_np.y(), 0.0);
       polygon_marker.points.push_back(curr_point);
       polygon_marker.points.push_back(next_point);
     }
   }
   debug_markers.markers.push_back(polygon_marker);
 
-  auto object_data_marker = tier4_autoware_utils::createDefaultMarker(
+  auto object_data_marker = autoware::universe_utils::createDefaultMarker(
     "base_link", current_time, ns + "_objects", 0, Marker::SPHERE_LIST,
-    tier4_autoware_utils::createMarkerScale(0.5, 0.5, 0.5),
-    tier4_autoware_utils::createMarkerColor(color_r, color_g, color_b, color_a));
+    autoware::universe_utils::createMarkerScale(0.5, 0.5, 0.5),
+    autoware::universe_utils::createMarkerColor(color_r, color_g, color_b, color_a));
   for (const auto & e : objects) {
     object_data_marker.points.push_back(e.position);
   }
@@ -721,11 +852,11 @@ void AEB::addMarker(
   // Visualize planner type text
   if (closest_object.has_value()) {
     const auto & obj = closest_object.value();
-    const auto color = tier4_autoware_utils::createMarkerColor(0.95, 0.95, 0.95, 0.999);
-    auto closest_object_velocity_marker_array = tier4_autoware_utils::createDefaultMarker(
+    const auto color = autoware::universe_utils::createMarkerColor(0.95, 0.95, 0.95, 0.999);
+    auto closest_object_velocity_marker_array = autoware::universe_utils::createDefaultMarker(
       "base_link", obj.stamp, ns + "_closest_object_velocity", 0,
       visualization_msgs::msg::Marker::TEXT_VIEW_FACING,
-      tier4_autoware_utils::createMarkerScale(0.0, 0.0, 0.7), color);
+      autoware::universe_utils::createMarkerScale(0.0, 0.0, 0.7), color);
     closest_object_velocity_marker_array.pose.position = obj.position;
     const auto ego_velocity = current_velocity_ptr_->longitudinal_velocity;
     closest_object_velocity_marker_array.text =
@@ -739,10 +870,10 @@ void AEB::addMarker(
 
 void AEB::addCollisionMarker(const ObjectData & data, MarkerArray & debug_markers)
 {
-  auto point_marker = tier4_autoware_utils::createDefaultMarker(
+  auto point_marker = autoware::universe_utils::createDefaultMarker(
     "base_link", data.stamp, "collision_point", 0, Marker::SPHERE,
-    tier4_autoware_utils::createMarkerScale(0.3, 0.3, 0.3),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 0.3));
+    autoware::universe_utils::createMarkerScale(0.3, 0.3, 0.3),
+    autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 0.3));
   point_marker.pose.position = data.position;
   debug_markers.markers.push_back(point_marker);
 }
diff --git a/control/autoware_autonomous_emergency_braking/src/utils.cpp b/control/autoware_autonomous_emergency_braking/src/utils.cpp
new file mode 100644
index 0000000000000..c284ee3c99dbb
--- /dev/null
+++ b/control/autoware_autonomous_emergency_braking/src/utils.cpp
@@ -0,0 +1,150 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <autoware/autonomous_emergency_braking/utils.hpp>
+
+namespace autoware::motion::control::autonomous_emergency_braking::utils
+{
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware_perception_msgs::msg::PredictedObject;
+using autoware_perception_msgs::msg::PredictedObjects;
+using geometry_msgs::msg::Point;
+using geometry_msgs::msg::Pose;
+using geometry_msgs::msg::TransformStamped;
+using geometry_msgs::msg::Vector3;
+
+PredictedObject transformObjectFrame(
+  const PredictedObject & input, geometry_msgs::msg::TransformStamped transform_stamped)
+{
+  PredictedObject output = input;
+  const auto & linear_twist = input.kinematics.initial_twist_with_covariance.twist.linear;
+  const auto & angular_twist = input.kinematics.initial_twist_with_covariance.twist.angular;
+  const auto & pose = input.kinematics.initial_pose_with_covariance.pose;
+
+  geometry_msgs::msg::Pose t_pose;
+  Vector3 t_linear_twist;
+  Vector3 t_angular_twist;
+
+  tf2::doTransform(pose, t_pose, transform_stamped);
+  tf2::doTransform(linear_twist, t_linear_twist, transform_stamped);
+  tf2::doTransform(angular_twist, t_angular_twist, transform_stamped);
+
+  output.kinematics.initial_pose_with_covariance.pose = t_pose;
+  output.kinematics.initial_twist_with_covariance.twist.linear = t_linear_twist;
+  output.kinematics.initial_twist_with_covariance.twist.angular = t_angular_twist;
+  return output;
+}
+
+Polygon2d convertPolygonObjectToGeometryPolygon(
+  const Pose & current_pose, const autoware_perception_msgs::msg::Shape & obj_shape)
+{
+  Polygon2d object_polygon;
+  tf2::Transform tf_map2obj;
+  fromMsg(current_pose, tf_map2obj);
+  const auto obj_points = obj_shape.footprint.points;
+  object_polygon.outer().reserve(obj_points.size() + 1);
+  for (const auto & obj_point : obj_points) {
+    tf2::Vector3 obj(obj_point.x, obj_point.y, obj_point.z);
+    tf2::Vector3 tf_obj = tf_map2obj * obj;
+    object_polygon.outer().emplace_back(tf_obj.x(), tf_obj.y());
+  }
+  object_polygon.outer().push_back(object_polygon.outer().front());
+  boost::geometry::correct(object_polygon);
+
+  return object_polygon;
+}
+
+Polygon2d convertCylindricalObjectToGeometryPolygon(
+  const Pose & current_pose, const autoware_perception_msgs::msg::Shape & obj_shape)
+{
+  Polygon2d object_polygon;
+
+  const double obj_x = current_pose.position.x;
+  const double obj_y = current_pose.position.y;
+
+  constexpr int N = 20;
+  const double r = obj_shape.dimensions.x / 2;
+  object_polygon.outer().reserve(N + 1);
+  for (int i = 0; i < N; ++i) {
+    object_polygon.outer().emplace_back(
+      obj_x + r * std::cos(2.0 * M_PI / N * i), obj_y + r * std::sin(2.0 * M_PI / N * i));
+  }
+
+  object_polygon.outer().push_back(object_polygon.outer().front());
+  boost::geometry::correct(object_polygon);
+
+  return object_polygon;
+}
+
+Polygon2d convertBoundingBoxObjectToGeometryPolygon(
+  const Pose & current_pose, const double & base_to_front, const double & base_to_rear,
+  const double & base_to_width)
+{
+  const auto mapped_point = [](const double & length_scalar, const double & width_scalar) {
+    tf2::Vector3 map;
+    map.setX(length_scalar);
+    map.setY(width_scalar);
+    map.setZ(0.0);
+    map.setW(1.0);
+    return map;
+  };
+
+  // set vertices at map coordinate
+  const tf2::Vector3 p1_map = std::invoke(mapped_point, base_to_front, -base_to_width);
+  const tf2::Vector3 p2_map = std::invoke(mapped_point, base_to_front, base_to_width);
+  const tf2::Vector3 p3_map = std::invoke(mapped_point, -base_to_rear, base_to_width);
+  const tf2::Vector3 p4_map = std::invoke(mapped_point, -base_to_rear, -base_to_width);
+
+  // transform vertices from map coordinate to object coordinate
+  tf2::Transform tf_map2obj;
+  tf2::fromMsg(current_pose, tf_map2obj);
+  const tf2::Vector3 p1_obj = tf_map2obj * p1_map;
+  const tf2::Vector3 p2_obj = tf_map2obj * p2_map;
+  const tf2::Vector3 p3_obj = tf_map2obj * p3_map;
+  const tf2::Vector3 p4_obj = tf_map2obj * p4_map;
+
+  Polygon2d object_polygon;
+  object_polygon.outer().reserve(5);
+  object_polygon.outer().emplace_back(p1_obj.x(), p1_obj.y());
+  object_polygon.outer().emplace_back(p2_obj.x(), p2_obj.y());
+  object_polygon.outer().emplace_back(p3_obj.x(), p3_obj.y());
+  object_polygon.outer().emplace_back(p4_obj.x(), p4_obj.y());
+
+  object_polygon.outer().push_back(object_polygon.outer().front());
+  boost::geometry::correct(object_polygon);
+
+  return object_polygon;
+}
+
+Polygon2d convertObjToPolygon(const PredictedObject & obj)
+{
+  Polygon2d object_polygon{};
+  if (obj.shape.type == autoware_perception_msgs::msg::Shape::CYLINDER) {
+    object_polygon = utils::convertCylindricalObjectToGeometryPolygon(
+      obj.kinematics.initial_pose_with_covariance.pose, obj.shape);
+  } else if (obj.shape.type == autoware_perception_msgs::msg::Shape::BOUNDING_BOX) {
+    const double & length_m = obj.shape.dimensions.x / 2;
+    const double & width_m = obj.shape.dimensions.y / 2;
+    object_polygon = utils::convertBoundingBoxObjectToGeometryPolygon(
+      obj.kinematics.initial_pose_with_covariance.pose, length_m, length_m, width_m);
+  } else if (obj.shape.type == autoware_perception_msgs::msg::Shape::POLYGON) {
+    object_polygon = utils::convertPolygonObjectToGeometryPolygon(
+      obj.kinematics.initial_pose_with_covariance.pose, obj.shape);
+  } else {
+    throw std::runtime_error("Unsupported shape type");
+  }
+  return object_polygon;
+}
+}  // namespace autoware::motion::control::autonomous_emergency_braking::utils
diff --git a/control/autoware_control_validator/CMakeLists.txt b/control/autoware_control_validator/CMakeLists.txt
index 1a4119e47a723..2b25b5b984c12 100644
--- a/control/autoware_control_validator/CMakeLists.txt
+++ b/control/autoware_control_validator/CMakeLists.txt
@@ -11,7 +11,7 @@ ament_auto_add_library(autoware_control_validator_helpers SHARED
 
 # control validator
 ament_auto_add_library(autoware_control_validator_component SHARED
-  include/autoware_control_validator/control_validator.hpp
+  include/autoware/control_validator/control_validator.hpp
   src/control_validator.cpp
 )
 target_link_libraries(autoware_control_validator_component autoware_control_validator_helpers)
diff --git a/control/autoware_control_validator/include/autoware_control_validator/control_validator.hpp b/control/autoware_control_validator/include/autoware/control_validator/control_validator.hpp
similarity index 85%
rename from control/autoware_control_validator/include/autoware_control_validator/control_validator.hpp
rename to control/autoware_control_validator/include/autoware/control_validator/control_validator.hpp
index 2e31de295f1f2..ecb46aee123e3 100644
--- a/control/autoware_control_validator/include/autoware_control_validator/control_validator.hpp
+++ b/control/autoware_control_validator/include/autoware/control_validator/control_validator.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
-#define AUTOWARE_CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
+#ifndef AUTOWARE__CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
+#define AUTOWARE__CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
 
-#include "autoware_control_validator/debug_marker.hpp"
+#include "autoware/control_validator/debug_marker.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 #include "autoware_control_validator/msg/control_validator_status.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
 
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -69,9 +69,9 @@ class ControlValidator : public rclcpp::Node
   void setStatus(DiagnosticStatusWrapper & stat, const bool & is_ok, const std::string & msg);
 
   rclcpp::Subscription<Trajectory>::SharedPtr sub_predicted_traj_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
     this, "~/input/kinematics"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Trajectory> sub_reference_traj_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> sub_reference_traj_{
     this, "~/input/reference_trajectory"};
   rclcpp::Publisher<ControlValidatorStatus>::SharedPtr pub_status_;
   rclcpp::Publisher<visualization_msgs::msg::MarkerArray>::SharedPtr pub_markers_;
@@ -98,4 +98,4 @@ class ControlValidator : public rclcpp::Node
 };
 }  // namespace autoware::control_validator
 
-#endif  // AUTOWARE_CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
+#endif  // AUTOWARE__CONTROL_VALIDATOR__CONTROL_VALIDATOR_HPP_
diff --git a/control/autoware_control_validator/include/autoware_control_validator/debug_marker.hpp b/control/autoware_control_validator/include/autoware/control_validator/debug_marker.hpp
similarity index 91%
rename from control/autoware_control_validator/include/autoware_control_validator/debug_marker.hpp
rename to control/autoware_control_validator/include/autoware/control_validator/debug_marker.hpp
index cde596ed7e1ab..c03ecb46b8117 100644
--- a/control/autoware_control_validator/include/autoware_control_validator/debug_marker.hpp
+++ b/control/autoware_control_validator/include/autoware/control_validator/debug_marker.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
-#define AUTOWARE_CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
+#ifndef AUTOWARE__CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
+#define AUTOWARE__CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -57,4 +57,4 @@ class ControlValidatorDebugMarkerPublisher
   }
 };
 
-#endif  // AUTOWARE_CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
+#endif  // AUTOWARE__CONTROL_VALIDATOR__DEBUG_MARKER_HPP_
diff --git a/control/autoware_control_validator/include/autoware_control_validator/utils.hpp b/control/autoware_control_validator/include/autoware/control_validator/utils.hpp
similarity index 84%
rename from control/autoware_control_validator/include/autoware_control_validator/utils.hpp
rename to control/autoware_control_validator/include/autoware/control_validator/utils.hpp
index 69faa2fbe4abc..375ad557d02df 100644
--- a/control/autoware_control_validator/include/autoware_control_validator/utils.hpp
+++ b/control/autoware_control_validator/include/autoware/control_validator/utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_CONTROL_VALIDATOR__UTILS_HPP_
-#define AUTOWARE_CONTROL_VALIDATOR__UTILS_HPP_
+#ifndef AUTOWARE__CONTROL_VALIDATOR__UTILS_HPP_
+#define AUTOWARE__CONTROL_VALIDATOR__UTILS_HPP_
 
-#include <motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/conversion.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -26,11 +26,11 @@
 
 namespace autoware::control_validator
 {
+using autoware::motion_utils::convertToTrajectory;
+using autoware::motion_utils::convertToTrajectoryPointArray;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
 using geometry_msgs::msg::Pose;
-using motion_utils::convertToTrajectory;
-using motion_utils::convertToTrajectoryPointArray;
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
 
 void shiftPose(Pose & pose, double longitudinal);
@@ -52,4 +52,4 @@ double calcMaxLateralDistance(
   const Trajectory & trajectory, const Trajectory & predicted_trajectory);
 }  // namespace autoware::control_validator
 
-#endif  // AUTOWARE_CONTROL_VALIDATOR__UTILS_HPP_
+#endif  // AUTOWARE__CONTROL_VALIDATOR__UTILS_HPP_
diff --git a/control/autoware_control_validator/package.xml b/control/autoware_control_validator/package.xml
index 2059308ef9029..71fefafbaffb1 100644
--- a/control/autoware_control_validator/package.xml
+++ b/control/autoware_control_validator/package.xml
@@ -20,15 +20,15 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <build_depend>rosidl_default_generators</build_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/control/autoware_control_validator/src/control_validator.cpp b/control/autoware_control_validator/src/control_validator.cpp
index 7e4a86d42598e..4c8ca3c831824 100644
--- a/control/autoware_control_validator/src/control_validator.cpp
+++ b/control/autoware_control_validator/src/control_validator.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_control_validator/control_validator.hpp"
+#include "autoware/control_validator/control_validator.hpp"
 
-#include "autoware_control_validator/utils.hpp"
+#include "autoware/control_validator/utils.hpp"
 
 #include <memory>
 #include <string>
diff --git a/control/autoware_control_validator/src/debug_marker.cpp b/control/autoware_control_validator/src/debug_marker.cpp
index 9ef2786c0aef6..d5d8644515ab1 100644
--- a/control/autoware_control_validator/src/debug_marker.cpp
+++ b/control/autoware_control_validator/src/debug_marker.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_control_validator/debug_marker.hpp"
+#include "autoware/control_validator/debug_marker.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <memory>
 #include <string>
@@ -48,7 +48,7 @@ void ControlValidatorDebugMarkerPublisher::pushPoseMarker(
 void ControlValidatorDebugMarkerPublisher::pushPoseMarker(
   const geometry_msgs::msg::Pose & pose, const std::string & ns, int id)
 {
-  using tier4_autoware_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerColor;
 
   // append arrow marker
   std_msgs::msg::ColorRGBA color;
@@ -64,9 +64,9 @@ void ControlValidatorDebugMarkerPublisher::pushPoseMarker(
   {
     color = createMarkerColor(0.0, 0.0, 1.0, 0.999);
   }
-  Marker marker = tier4_autoware_utils::createDefaultMarker(
+  Marker marker = autoware::universe_utils::createDefaultMarker(
     "map", node_->get_clock()->now(), ns, getMarkerId(ns), Marker::ARROW,
-    tier4_autoware_utils::createMarkerScale(0.2, 0.1, 0.3), color);
+    autoware::universe_utils::createMarkerScale(0.2, 0.1, 0.3), color);
   marker.lifetime = rclcpp::Duration::from_seconds(0.2);
   marker.pose = pose;
 
@@ -76,10 +76,10 @@ void ControlValidatorDebugMarkerPublisher::pushPoseMarker(
 void ControlValidatorDebugMarkerPublisher::pushWarningMsg(
   const geometry_msgs::msg::Pose & pose, const std::string & msg)
 {
-  visualization_msgs::msg::Marker marker = tier4_autoware_utils::createDefaultMarker(
+  visualization_msgs::msg::Marker marker = autoware::universe_utils::createDefaultMarker(
     "map", node_->get_clock()->now(), "warning_msg", 0, Marker::TEXT_VIEW_FACING,
-    tier4_autoware_utils::createMarkerScale(0.0, 0.0, 1.0),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.1, 0.1, 0.999));
+    autoware::universe_utils::createMarkerScale(0.0, 0.0, 1.0),
+    autoware::universe_utils::createMarkerColor(1.0, 0.1, 0.1, 0.999));
   marker.lifetime = rclcpp::Duration::from_seconds(0.2);
   marker.pose = pose;
   marker.text = msg;
@@ -90,8 +90,8 @@ void ControlValidatorDebugMarkerPublisher::pushVirtualWall(const geometry_msgs::
 {
   const auto now = node_->get_clock()->now();
   const auto stop_wall_marker =
-    motion_utils::createStopVirtualWallMarker(pose, "control_validator", now, 0);
-  tier4_autoware_utils::appendMarkerArray(stop_wall_marker, &marker_array_virtual_wall_, now);
+    autoware::motion_utils::createStopVirtualWallMarker(pose, "control_validator", now, 0);
+  autoware::universe_utils::appendMarkerArray(stop_wall_marker, &marker_array_virtual_wall_, now);
 }
 
 void ControlValidatorDebugMarkerPublisher::publish()
diff --git a/control/autoware_control_validator/src/utils.cpp b/control/autoware_control_validator/src/utils.cpp
index e7cace049af6e..821d64c3af6e6 100644
--- a/control/autoware_control_validator/src/utils.cpp
+++ b/control/autoware_control_validator/src/utils.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_control_validator/utils.hpp"
+#include "autoware/control_validator/utils.hpp"
 
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <memory>
 #include <string>
@@ -37,8 +37,8 @@ void insertPointInPredictedTrajectory(
   TrajectoryPoints & modified_trajectory, const Pose & reference_pose,
   const TrajectoryPoints & predicted_trajectory)
 {
-  const auto point_to_interpolate =
-    motion_utils::calcInterpolatedPoint(convertToTrajectory(predicted_trajectory), reference_pose);
+  const auto point_to_interpolate = autoware::motion_utils::calcInterpolatedPoint(
+    convertToTrajectory(predicted_trajectory), reference_pose);
   modified_trajectory.insert(modified_trajectory.begin(), point_to_interpolate);
 }
 
@@ -59,8 +59,8 @@ bool removeFrontTrajectoryPoint(
   bool predicted_trajectory_point_removed = false;
   for (const auto & point : predicted_trajectory_points) {
     if (
-      motion_utils::calcLongitudinalOffsetToSegment(trajectory_points, 0, point.pose.position) <
-      0.0) {
+      autoware::motion_utils::calcLongitudinalOffsetToSegment(
+        trajectory_points, 0, point.pose.position) < 0.0) {
       modified_trajectory_points.erase(modified_trajectory_points.begin());
 
       predicted_trajectory_point_removed = true;
@@ -75,7 +75,7 @@ bool removeFrontTrajectoryPoint(
 Trajectory alignTrajectoryWithReferenceTrajectory(
   const Trajectory & trajectory, const Trajectory & predicted_trajectory)
 {
-  const auto last_seg_length = motion_utils::calcSignedArcLength(
+  const auto last_seg_length = autoware::motion_utils::calcSignedArcLength(
     trajectory.points, trajectory.points.size() - 2, trajectory.points.size() - 1);
 
   // If no overlapping between trajectory and predicted_trajectory, return empty trajectory
@@ -85,9 +85,9 @@ Trajectory alignTrajectoryWithReferenceTrajectory(
   // predicted_trajectory:                           p1------------------pN
   // trajectory:             t1------------------tN
   const bool & is_p_n_before_t1 =
-    motion_utils::calcLongitudinalOffsetToSegment(
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(
       trajectory.points, 0, predicted_trajectory.points.back().pose.position) < 0.0;
-  const bool & is_p1_behind_t_n = motion_utils::calcLongitudinalOffsetToSegment(
+  const bool & is_p1_behind_t_n = autoware::motion_utils::calcLongitudinalOffsetToSegment(
                                     trajectory.points, trajectory.points.size() - 2,
                                     predicted_trajectory.points.front().pose.position) -
                                     last_seg_length >
@@ -149,12 +149,12 @@ double calcMaxLateralDistance(
     alignTrajectoryWithReferenceTrajectory(reference_trajectory, predicted_trajectory);
   double max_dist = 0;
   for (const auto & point : alined_predicted_trajectory.points) {
-    const auto p0 = tier4_autoware_utils::getPoint(point);
+    const auto p0 = autoware::universe_utils::getPoint(point);
     // find nearest segment
     const size_t nearest_segment_idx =
-      motion_utils::findNearestSegmentIndex(reference_trajectory.points, p0);
-    const double temp_dist = std::abs(
-      motion_utils::calcLateralOffset(reference_trajectory.points, p0, nearest_segment_idx));
+      autoware::motion_utils::findNearestSegmentIndex(reference_trajectory.points, p0);
+    const double temp_dist = std::abs(autoware::motion_utils::calcLateralOffset(
+      reference_trajectory.points, p0, nearest_segment_idx));
     if (temp_dist > max_dist) {
       max_dist = temp_dist;
     }
diff --git a/control/autoware_external_cmd_selector/include/autoware_external_cmd_selector/external_cmd_selector_node.hpp b/control/autoware_external_cmd_selector/include/autoware/external_cmd_selector/external_cmd_selector_node.hpp
similarity index 95%
rename from control/autoware_external_cmd_selector/include/autoware_external_cmd_selector/external_cmd_selector_node.hpp
rename to control/autoware_external_cmd_selector/include/autoware/external_cmd_selector/external_cmd_selector_node.hpp
index 1517ca83ad1f0..464ca0be8c163 100644
--- a/control/autoware_external_cmd_selector/include/autoware_external_cmd_selector/external_cmd_selector_node.hpp
+++ b/control/autoware_external_cmd_selector/include/autoware/external_cmd_selector/external_cmd_selector_node.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
-#define AUTOWARE_EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
+#ifndef AUTOWARE__EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
+#define AUTOWARE__EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
 
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <diagnostic_updater/update_functions.hpp>
@@ -103,4 +103,4 @@ class ExternalCmdSelector : public rclcpp::Node
   diagnostic_updater::Updater updater_{this};
 };
 }  // namespace autoware::external_cmd_selector
-#endif  // AUTOWARE_EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
+#endif  // AUTOWARE__EXTERNAL_CMD_SELECTOR__EXTERNAL_CMD_SELECTOR_NODE_HPP_
diff --git a/control/autoware_external_cmd_selector/src/autoware_external_cmd_selector/external_cmd_selector_node.cpp b/control/autoware_external_cmd_selector/src/autoware_external_cmd_selector/external_cmd_selector_node.cpp
index 59a8caa5c1568..4156f54025d35 100644
--- a/control/autoware_external_cmd_selector/src/autoware_external_cmd_selector/external_cmd_selector_node.cpp
+++ b/control/autoware_external_cmd_selector/src/autoware_external_cmd_selector/external_cmd_selector_node.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_external_cmd_selector/external_cmd_selector_node.hpp"
+#include "autoware/external_cmd_selector/external_cmd_selector_node.hpp"
 
 #include <tier4_auto_msgs_converter/tier4_auto_msgs_converter.hpp>
 
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_controller.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_controller.hpp
similarity index 89%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_controller.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_controller.hpp
index 88371455def62..fd2d89f446dbb 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_controller.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_controller.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONTROLLER_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONTROLLER_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONTROLLER_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONTROLLER_HPP_
 
-#include "autoware_joy_controller/joy_converter/joy_converter_base.hpp"
+#include "autoware/joy_controller/joy_converter/joy_converter_base.hpp"
 
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
 
 #include <autoware_control_msgs/msg/control.hpp>
 #include <autoware_vehicle_msgs/msg/engage.hpp>
@@ -70,9 +70,9 @@ class AutowareJoyControllerNode : public rclcpp::Node
   rclcpp::CallbackGroup::SharedPtr callback_group_services_;
 
   // Subscriber
-  tier4_autoware_utils::InterProcessPollingSubscriber<sensor_msgs::msg::Joy> sub_joy_{
+  autoware::universe_utils::InterProcessPollingSubscriber<sensor_msgs::msg::Joy> sub_joy_{
     this, "input/joy"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
     this, "input/odometry"};
 
   rclcpp::Time last_joy_received_time_;
@@ -122,4 +122,4 @@ class AutowareJoyControllerNode : public rclcpp::Node
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONTROLLER_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONTROLLER_HPP_
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/ds4_joy_converter.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/ds4_joy_converter.hpp
similarity index 92%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/ds4_joy_converter.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/ds4_joy_converter.hpp
index 7cfac1af8662b..26878e1bd73cb 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/ds4_joy_converter.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/ds4_joy_converter.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
 
-#include "autoware_joy_controller/joy_converter/joy_converter_base.hpp"
+#include "autoware/joy_controller/joy_converter/joy_converter_base.hpp"
 
 #include <algorithm>
 
@@ -92,4 +92,4 @@ class DS4JoyConverter : public JoyConverterBase
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__DS4_JOY_CONVERTER_HPP_
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/g29_joy_converter.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/g29_joy_converter.hpp
similarity index 91%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/g29_joy_converter.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/g29_joy_converter.hpp
index a36ad3a580287..ea253e86305b7 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/g29_joy_converter.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/g29_joy_converter.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
 
-#include "autoware_joy_controller/joy_converter/joy_converter_base.hpp"
+#include "autoware/joy_controller/joy_converter/joy_converter_base.hpp"
 
 namespace autoware::joy_controller
 {
@@ -90,4 +90,4 @@ class G29JoyConverter : public JoyConverterBase
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__G29_JOY_CONVERTER_HPP_
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/joy_converter_base.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/joy_converter_base.hpp
similarity index 86%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/joy_converter_base.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/joy_converter_base.hpp
index 98a8b799d71a9..fa6081721511c 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/joy_converter_base.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/joy_converter_base.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
 
 #include <sensor_msgs/msg/joy.hpp>
 
@@ -52,4 +52,4 @@ class JoyConverterBase
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__JOY_CONVERTER_BASE_HPP_
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/p65_joy_converter.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/p65_joy_converter.hpp
similarity index 90%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/p65_joy_converter.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/p65_joy_converter.hpp
index a6f51cb95b44d..aebe38433e219 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/p65_joy_converter.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/p65_joy_converter.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
 
-#include "autoware_joy_controller/joy_converter/joy_converter_base.hpp"
+#include "autoware/joy_controller/joy_converter/joy_converter_base.hpp"
 
 #include <algorithm>
 
@@ -78,4 +78,4 @@ class P65JoyConverter : public JoyConverterBase
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__P65_JOY_CONVERTER_HPP_
diff --git a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/xbox_joy_converter.hpp b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/xbox_joy_converter.hpp
similarity index 90%
rename from control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/xbox_joy_converter.hpp
rename to control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/xbox_joy_converter.hpp
index 776b0c98b7835..9d0c53b3e42cf 100644
--- a/control/autoware_joy_controller/include/autoware_joy_controller/joy_converter/xbox_joy_converter.hpp
+++ b/control/autoware_joy_controller/include/autoware/joy_controller/joy_converter/xbox_joy_converter.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
-#define AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
+#ifndef AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
+#define AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
 
-#include "autoware_joy_controller/joy_converter/joy_converter_base.hpp"
+#include "autoware/joy_controller/joy_converter/joy_converter_base.hpp"
 
 #include <algorithm>
 
@@ -78,4 +78,4 @@ class XBOXJoyConverter : public JoyConverterBase
 };
 }  // namespace autoware::joy_controller
 
-#endif  // AUTOWARE_JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
+#endif  // AUTOWARE__JOY_CONTROLLER__JOY_CONVERTER__XBOX_JOY_CONVERTER_HPP_
diff --git a/control/autoware_joy_controller/package.xml b/control/autoware_joy_controller/package.xml
index 10e33d5d6564a..3a9acf07a35bf 100644
--- a/control/autoware_joy_controller/package.xml
+++ b/control/autoware_joy_controller/package.xml
@@ -17,6 +17,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>joy</depend>
@@ -26,7 +27,6 @@
   <depend>sensor_msgs</depend>
   <depend>std_srvs</depend>
   <depend>tier4_api_utils</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_control_msgs</depend>
   <depend>tier4_external_api_msgs</depend>
 
diff --git a/control/autoware_joy_controller/src/joy_controller_node.cpp b/control/autoware_joy_controller/src/joy_controller_node.cpp
index 2491893a2806c..cab15c93d753f 100644
--- a/control/autoware_joy_controller/src/joy_controller_node.cpp
+++ b/control/autoware_joy_controller/src/joy_controller_node.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_joy_controller/joy_controller.hpp"
-#include "autoware_joy_controller/joy_converter/ds4_joy_converter.hpp"
-#include "autoware_joy_controller/joy_converter/g29_joy_converter.hpp"
-#include "autoware_joy_controller/joy_converter/p65_joy_converter.hpp"
-#include "autoware_joy_controller/joy_converter/xbox_joy_converter.hpp"
+#include "autoware/joy_controller/joy_controller.hpp"
+#include "autoware/joy_controller/joy_converter/ds4_joy_converter.hpp"
+#include "autoware/joy_controller/joy_converter/g29_joy_converter.hpp"
+#include "autoware/joy_controller/joy_converter/p65_joy_converter.hpp"
+#include "autoware/joy_controller/joy_converter/xbox_joy_converter.hpp"
 
 #include <tier4_api_utils/tier4_api_utils.hpp>
 
@@ -151,6 +151,10 @@ namespace autoware::joy_controller
 void AutowareJoyControllerNode::onJoy()
 {
   const auto msg = sub_joy_.takeData();
+  if (!msg) {
+    return;
+  }
+
   last_joy_received_time_ = msg->header.stamp;
   if (joy_type_ == "G29") {
     joy_ = std::make_shared<const G29JoyConverter>(*msg);
@@ -198,6 +202,10 @@ void AutowareJoyControllerNode::onOdometry()
   }
 
   const auto msg = sub_odom_.takeData();
+  if (!msg) {
+    return;
+  }
+
   auto twist = std::make_shared<geometry_msgs::msg::TwistStamped>();
   twist->header = msg->header;
   twist->twist = msg->twist.twist;
diff --git a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker.hpp b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker.hpp
similarity index 91%
rename from control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker.hpp
rename to control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker.hpp
index e29623bf69891..b43a7d0d0369a 100644
--- a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker.hpp
+++ b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
-#define AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
+#ifndef AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
+#define AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/pose_deviation.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <rosidl_runtime_cpp/message_initialization.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/pose_deviation.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -47,12 +47,12 @@
 
 namespace autoware::lane_departure_checker
 {
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::PoseDeviation;
+using autoware::universe_utils::Segment2d;
 using autoware_planning_msgs::msg::LaneletRoute;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::PoseDeviation;
-using tier4_autoware_utils::Segment2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
 typedef boost::geometry::index::rtree<Segment2d, boost::geometry::index::rstar<16>> SegmentRtree;
@@ -122,7 +122,7 @@ class LaneDepartureChecker
   std::vector<std::pair<double, lanelet::Lanelet>> getLaneletsFromPath(
     const lanelet::LaneletMapPtr lanelet_map_ptr, const PathWithLaneId & path) const;
 
-  std::optional<tier4_autoware_utils::Polygon2d> getFusedLaneletPolygonForPath(
+  std::optional<autoware::universe_utils::Polygon2d> getFusedLaneletPolygonForPath(
     const lanelet::LaneletMapPtr lanelet_map_ptr, const PathWithLaneId & path) const;
 
   bool checkPathWillLeaveLane(
@@ -172,4 +172,4 @@ class LaneDepartureChecker
 };
 }  // namespace autoware::lane_departure_checker
 
-#endif  // AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
+#endif  // AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_HPP_
diff --git a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker_node.hpp b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker_node.hpp
similarity index 81%
rename from control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker_node.hpp
rename to control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker_node.hpp
index d37ef30d6b8e8..e6421b2af84bb 100644
--- a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/lane_departure_checker_node.hpp
+++ b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/lane_departure_checker_node.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
-#define AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
+#ifndef AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
+#define AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
 
-#include "autoware_lane_departure_checker/lane_departure_checker.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
+#include "autoware/lane_departure_checker/lane_departure_checker.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/processing_time_publisher.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/processing_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
@@ -67,15 +67,15 @@ class LaneDepartureCheckerNode : public rclcpp::Node
 
 private:
   // Subscriber
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<LaneletMapBin> sub_lanelet_map_bin_{
+  autoware::universe_utils::InterProcessPollingSubscriber<LaneletMapBin> sub_lanelet_map_bin_{
     this, "~/input/lanelet_map_bin", rclcpp::QoS{1}.transient_local()};
-  tier4_autoware_utils::InterProcessPollingSubscriber<LaneletRoute> sub_route_{
+  autoware::universe_utils::InterProcessPollingSubscriber<LaneletRoute> sub_route_{
     this, "~/input/route"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Trajectory> sub_reference_trajectory_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> sub_reference_trajectory_{
     this, "~/input/reference_trajectory"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Trajectory> sub_predicted_trajectory_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> sub_predicted_trajectory_{
     this, "~/input/predicted_trajectory"};
 
   // Data Buffer
@@ -99,8 +99,8 @@ class LaneDepartureCheckerNode : public rclcpp::Node
   void onPredictedTrajectory(const Trajectory::ConstSharedPtr msg);
 
   // Publisher
-  tier4_autoware_utils::DebugPublisher debug_publisher_{this, "~/debug"};
-  tier4_autoware_utils::ProcessingTimePublisher processing_time_publisher_{this};
+  autoware::universe_utils::DebugPublisher debug_publisher_{this, "~/debug"};
+  autoware::universe_utils::ProcessingTimePublisher processing_time_publisher_{this};
 
   // Timer
   rclcpp::TimerBase::SharedPtr timer_;
@@ -157,4 +157,4 @@ class LaneDepartureCheckerNode : public rclcpp::Node
 };
 }  // namespace autoware::lane_departure_checker
 
-#endif  // AUTOWARE_LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
+#endif  // AUTOWARE__LANE_DEPARTURE_CHECKER__LANE_DEPARTURE_CHECKER_NODE_HPP_
diff --git a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/util/create_vehicle_footprint.hpp b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/util/create_vehicle_footprint.hpp
similarity index 89%
rename from control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/util/create_vehicle_footprint.hpp
rename to control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/util/create_vehicle_footprint.hpp
index c85e37212b16f..4435f282054ad 100644
--- a/control/autoware_lane_departure_checker/include/autoware_lane_departure_checker/util/create_vehicle_footprint.hpp
+++ b/control/autoware_lane_departure_checker/include/autoware/lane_departure_checker/util/create_vehicle_footprint.hpp
@@ -25,12 +25,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
-#define AUTOWARE_LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
+#ifndef AUTOWARE__LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
+#define AUTOWARE__LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
 
 #include <Eigen/Dense>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <tf2/utils.h>
 
@@ -63,4 +63,4 @@ inline FootprintMargin calcFootprintMargin(
   return FootprintMargin{Cov_xy_vehicle(0, 0) * scale, Cov_xy_vehicle(1, 1) * scale};
 }
 
-#endif  // AUTOWARE_LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
+#endif  // AUTOWARE__LANE_DEPARTURE_CHECKER__UTIL__CREATE_VEHICLE_FOOTPRINT_HPP_
diff --git a/control/autoware_lane_departure_checker/package.xml b/control/autoware_lane_departure_checker/package.xml
index 7a08cd2907120..2a08db7288568 100644
--- a/control/autoware_lane_departure_checker/package.xml
+++ b/control/autoware_lane_departure_checker/package.xml
@@ -14,14 +14,15 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>boost</depend>
   <depend>diagnostic_updater</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -29,7 +30,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker.cpp b/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker.cpp
index 5e90df6773b87..132eba8dde0c9 100644
--- a/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker.cpp
+++ b/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_lane_departure_checker/lane_departure_checker.hpp"
+#include "autoware/lane_departure_checker/lane_departure_checker.hpp"
 
-#include "autoware_lane_departure_checker/util/create_vehicle_footprint.hpp"
+#include "autoware/lane_departure_checker/util/create_vehicle_footprint.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -30,12 +30,12 @@
 #include <algorithm>
 #include <vector>
 
-using motion_utils::calcArcLength;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::MultiPolygon2d;
-using tier4_autoware_utils::Point2d;
+using autoware::motion_utils::calcArcLength;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::MultiPolygon2d;
+using autoware::universe_utils::Point2d;
 
 namespace
 {
@@ -102,7 +102,7 @@ Output LaneDepartureChecker::update(const Input & input)
 {
   Output output{};
 
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
 
   output.trajectory_deviation = calcTrajectoryDeviation(
     *input.reference_trajectory, input.current_odom->pose.pose, param_.ego_nearest_dist_threshold,
@@ -169,9 +169,9 @@ PoseDeviation LaneDepartureChecker::calcTrajectoryDeviation(
   const Trajectory & trajectory, const geometry_msgs::msg::Pose & pose, const double dist_threshold,
   const double yaw_threshold)
 {
-  const auto nearest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto nearest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     trajectory.points, pose, dist_threshold, yaw_threshold);
-  return tier4_autoware_utils::calcPoseDeviation(trajectory.points.at(nearest_idx).pose, pose);
+  return autoware::universe_utils::calcPoseDeviation(trajectory.points.at(nearest_idx).pose, pose);
 }
 
 TrajectoryPoints LaneDepartureChecker::resampleTrajectory(
@@ -183,8 +183,8 @@ TrajectoryPoints LaneDepartureChecker::resampleTrajectory(
   for (size_t i = 1; i < trajectory.points.size() - 1; ++i) {
     const auto & point = trajectory.points.at(i);
 
-    const auto p1 = tier4_autoware_utils::fromMsg(resampled.back().pose.position);
-    const auto p2 = tier4_autoware_utils::fromMsg(point.pose.position);
+    const auto p1 = autoware::universe_utils::fromMsg(resampled.back().pose.position);
+    const auto p2 = autoware::universe_utils::fromMsg(point.pose.position);
 
     if (boost::geometry::distance(p1.to_2d(), p2.to_2d()) > interval) {
       resampled.push_back(point);
@@ -205,8 +205,8 @@ TrajectoryPoints LaneDepartureChecker::cutTrajectory(
   for (size_t i = 1; i < trajectory.size(); ++i) {
     const auto & point = trajectory.at(i);
 
-    const auto p1 = tier4_autoware_utils::fromMsg(cut.back().pose.position);
-    const auto p2 = tier4_autoware_utils::fromMsg(point.pose.position);
+    const auto p1 = autoware::universe_utils::fromMsg(cut.back().pose.position);
+    const auto p2 = autoware::universe_utils::fromMsg(point.pose.position);
     const auto points_distance = boost::geometry::distance(p1.to_2d(), p2.to_2d());
 
     const auto remain_distance = length - total_length;
@@ -251,7 +251,7 @@ std::vector<LinearRing2d> LaneDepartureChecker::createVehicleFootprints(
   std::vector<LinearRing2d> vehicle_footprints;
   for (const auto & p : trajectory) {
     vehicle_footprints.push_back(
-      transformVector(local_vehicle_footprint, tier4_autoware_utils::pose2transform(p.pose)));
+      transformVector(local_vehicle_footprint, autoware::universe_utils::pose2transform(p.pose)));
   }
 
   return vehicle_footprints;
@@ -267,8 +267,8 @@ std::vector<LinearRing2d> LaneDepartureChecker::createVehicleFootprints(
   // Create vehicle footprint on each Path point
   std::vector<LinearRing2d> vehicle_footprints;
   for (const auto & p : path.points) {
-    vehicle_footprints.push_back(
-      transformVector(local_vehicle_footprint, tier4_autoware_utils::pose2transform(p.point.pose)));
+    vehicle_footprints.push_back(transformVector(
+      local_vehicle_footprint, autoware::universe_utils::pose2transform(p.point.pose)));
   }
 
   return vehicle_footprints;
@@ -322,16 +322,18 @@ std::vector<std::pair<double, lanelet::Lanelet>> LaneDepartureChecker::getLanele
     lanelet_map_ptr->laneletLayer, footprint_hull_basic_polygon, 0.0);
 }
 
-std::optional<tier4_autoware_utils::Polygon2d> LaneDepartureChecker::getFusedLaneletPolygonForPath(
+std::optional<autoware::universe_utils::Polygon2d>
+LaneDepartureChecker::getFusedLaneletPolygonForPath(
   const lanelet::LaneletMapPtr lanelet_map_ptr, const PathWithLaneId & path) const
 {
   const auto lanelets_distance_pair = getLaneletsFromPath(lanelet_map_ptr, path);
-  auto to_polygon2d = [](const lanelet::BasicPolygon2d & poly) -> tier4_autoware_utils::Polygon2d {
-    tier4_autoware_utils::Polygon2d p;
+  auto to_polygon2d =
+    [](const lanelet::BasicPolygon2d & poly) -> autoware::universe_utils::Polygon2d {
+    autoware::universe_utils::Polygon2d p;
     auto & outer = p.outer();
 
     for (const auto & p : poly) {
-      tier4_autoware_utils::Point2d p2d(p.x(), p.y());
+      autoware::universe_utils::Point2d p2d(p.x(), p.y());
       outer.push_back(p2d);
     }
     boost::geometry::correct(p);
@@ -339,15 +341,15 @@ std::optional<tier4_autoware_utils::Polygon2d> LaneDepartureChecker::getFusedLan
   };
 
   // Fuse lanelets into a single BasicPolygon2d
-  auto fused_lanelets = [&]() -> std::optional<tier4_autoware_utils::Polygon2d> {
+  auto fused_lanelets = [&]() -> std::optional<autoware::universe_utils::Polygon2d> {
     if (lanelets_distance_pair.empty()) return std::nullopt;
-    tier4_autoware_utils::MultiPolygon2d lanelet_unions;
-    tier4_autoware_utils::MultiPolygon2d result;
+    autoware::universe_utils::MultiPolygon2d lanelet_unions;
+    autoware::universe_utils::MultiPolygon2d result;
 
     for (size_t i = 0; i < lanelets_distance_pair.size(); ++i) {
       const auto & route_lanelet = lanelets_distance_pair.at(i).second;
       const auto & p = route_lanelet.polygon2d().basicPolygon();
-      tier4_autoware_utils::Polygon2d poly = to_polygon2d(p);
+      autoware::universe_utils::Polygon2d poly = to_polygon2d(p);
       boost::geometry::union_(lanelet_unions, poly, result);
       lanelet_unions = result;
       result.clear();
diff --git a/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker_node.cpp b/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker_node.cpp
index f95ae0f4ac2ed..427cf0898470e 100644
--- a/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker_node.cpp
+++ b/control/autoware_lane_departure_checker/src/lane_departure_checker_node/lane_departure_checker_node.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_lane_departure_checker/lane_departure_checker_node.hpp"
+#include "autoware/lane_departure_checker/lane_departure_checker_node.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/route_checker.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_segment.hpp>
 
@@ -31,7 +31,7 @@
 #include <utility>
 #include <vector>
 
-using tier4_autoware_utils::rad2deg;
+using autoware::universe_utils::rad2deg;
 
 namespace
 {
@@ -251,7 +251,7 @@ bool LaneDepartureCheckerNode::isDataValid()
 void LaneDepartureCheckerNode::onTimer()
 {
   std::map<std::string, double> processing_time_map;
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
   stop_watch.tic("Total");
 
   current_odom_ = sub_odom_.takeData();
@@ -453,9 +453,9 @@ void LaneDepartureCheckerNode::checkTrajectoryDeviation(
 
 visualization_msgs::msg::MarkerArray LaneDepartureCheckerNode::createMarkerArray() const
 {
-  using tier4_autoware_utils::createDefaultMarker;
-  using tier4_autoware_utils::createMarkerColor;
-  using tier4_autoware_utils::createMarkerScale;
+  using autoware::universe_utils::createDefaultMarker;
+  using autoware::universe_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerScale;
 
   visualization_msgs::msg::MarkerArray marker_array;
 
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/lowpass_filter.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/lowpass_filter.hpp
similarity index 95%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/lowpass_filter.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/lowpass_filter.hpp
index 73cef7cddda39..8a32d06c8066e 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/lowpass_filter.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/lowpass_filter.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
 
 #include <algorithm>
 #include <cmath>
@@ -102,4 +102,4 @@ namespace MoveAverageFilter
 bool filt_vector(const int num, std::vector<double> & u);
 }  // namespace MoveAverageFilter
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__LOWPASS_FILTER_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc.hpp
similarity index 97%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc.hpp
index 03abae66e4986..058eb45bfaaff 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_HPP_
-
-#include "autoware_mpc_lateral_controller/lowpass_filter.hpp"
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
-#include "autoware_mpc_lateral_controller/steering_predictor.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_HPP_
+
+#include "autoware/mpc_lateral_controller/lowpass_filter.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
+#include "autoware/mpc_lateral_controller/steering_predictor.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include "autoware_control_msgs/msg/lateral.hpp"
@@ -525,4 +525,4 @@ class MPC
 };  // class MPC
 }  // namespace autoware::motion::control::mpc_lateral_controller
 
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_lateral_controller.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_lateral_controller.hpp
similarity index 90%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_lateral_controller.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_lateral_controller.hpp
index 50ab923f5b4d6..09399d1fa2dce 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_lateral_controller.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_lateral_controller.hpp
@@ -12,16 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
-
-#include "autoware_mpc_lateral_controller/mpc.hpp"
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
-#include "autoware_mpc_lateral_controller/mpc_utils.hpp"
-#include "autoware_mpc_lateral_controller/steering_offset/steering_offset.hpp"
-#include "autoware_trajectory_follower_base/lateral_controller_base.hpp"
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
+
+#include "autoware/mpc_lateral_controller/mpc.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_utils.hpp"
+#include "autoware/mpc_lateral_controller/steering_offset/steering_offset.hpp"
+#include "autoware/trajectory_follower_base/lateral_controller_base.hpp"
 #include "rclcpp/rclcpp.hpp"
 
+#include <diagnostic_updater/diagnostic_updater.hpp>
+
 #include "autoware_control_msgs/msg/lateral.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "autoware_vehicle_msgs/msg/steering_report.hpp"
@@ -52,7 +54,8 @@ class MpcLateralController : public trajectory_follower::LateralControllerBase
 {
 public:
   /// \param node Reference to the node used only for the component and parameter initialization.
-  explicit MpcLateralController(rclcpp::Node & node);
+  explicit MpcLateralController(
+    rclcpp::Node & node, std::shared_ptr<diagnostic_updater::Updater> diag_updater);
   virtual ~MpcLateralController();
 
 private:
@@ -63,6 +66,9 @@ class MpcLateralController : public trajectory_follower::LateralControllerBase
   rclcpp::Publisher<Float32MultiArrayStamped>::SharedPtr m_pub_debug_values;
   rclcpp::Publisher<Float32Stamped>::SharedPtr m_pub_steer_offset;
 
+  std::shared_ptr<diagnostic_updater::Updater>
+    diag_updater_{};  // Diagnostic updater for publishing diagnostic data.
+
   //!< @brief parameters for path smoothing
   TrajectoryFilteringParam m_trajectory_filtering_param;
 
@@ -87,9 +93,16 @@ class MpcLateralController : public trajectory_follower::LateralControllerBase
   // Flag indicating whether to keep the steering control until it converges.
   bool m_keep_steer_control_until_converged;
 
+  // MPC solver checker.
+  bool m_is_mpc_solved{true};
+
   // trajectory buffer for detecting new trajectory
   std::deque<Trajectory> m_trajectory_buffer;
 
+  void setStatus(diagnostic_updater::DiagnosticStatusWrapper & stat);
+
+  void setupDiag();
+
   std::unique_ptr<MPC> m_mpc;  // MPC object for trajectory following.
 
   // Check is mpc output converged
@@ -281,4 +294,4 @@ class MpcLateralController : public trajectory_follower::LateralControllerBase
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
 
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_LATERAL_CONTROLLER_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_trajectory.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_trajectory.hpp
similarity index 91%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_trajectory.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_trajectory.hpp
index 4a0ae16bc9b1c..b761aa9f19d23 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_trajectory.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_trajectory.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include "geometry_msgs/msg/point.hpp"
 
@@ -117,7 +117,7 @@ class MPCTrajectory
       point.pose.position.x = x.at(i);
       point.pose.position.y = y.at(i);
       point.pose.position.z = z.at(i);
-      point.pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw.at(i));
+      point.pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw.at(i));
       point.longitudinal_velocity_mps = vx.at(i);
       points.push_back(point);
     }
@@ -125,4 +125,4 @@ class MPCTrajectory
   }
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_TRAJECTORY_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_utils.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_utils.hpp
similarity index 97%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_utils.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_utils.hpp
index e97a004438e4b..87f6c0064a2b8 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/mpc_utils.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/mpc_utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
 
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
@@ -26,7 +26,7 @@
 #include "tf2_geometry_msgs/tf2_geometry_msgs.hpp"
 #endif
 
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -230,4 +230,4 @@ void update_param(
 
 }  // namespace MPCUtils
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__MPC_UTILS_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp
similarity index 89%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp
index 6447437d6c274..9756d547c97ff 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
 
 #include <Eigen/Core>
 
@@ -51,4 +51,4 @@ class QPSolverInterface
   virtual double getObjVal() const { return 0.0; }
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_INTERFACE_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp
similarity index 89%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp
index 8c81092960097..1e1295cb06b1e 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
 
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
 #include "osqp_interface/osqp_interface.hpp"
 #include "rclcpp/rclcpp.hpp"
 
@@ -62,4 +62,4 @@ class QPSolverOSQP : public QPSolverInterface
   rclcpp::Logger logger_;
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_OSQP_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp
similarity index 87%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp
index 15c8137b78890..79d7d25aeff91 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
 
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_interface.hpp"
 
 namespace autoware::motion::control::mpc_lateral_controller
 {
@@ -62,4 +62,4 @@ class QPSolverEigenLeastSquareLLT : public QPSolverInterface
 private:
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__QP_SOLVER__QP_SOLVER_UNCONSTRAINT_FAST_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_offset/steering_offset.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_offset/steering_offset.hpp
similarity index 84%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_offset/steering_offset.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_offset/steering_offset.hpp
index 707c1ce56a9a6..f5e357ddc717b 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_offset/steering_offset.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_offset/steering_offset.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
 
 #include <geometry_msgs/msg/twist.hpp>
 
@@ -45,4 +45,4 @@ class SteeringOffsetEstimator
   double steering_offset_ = 0.0;
 };
 
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_OFFSET__STEERING_OFFSET_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_predictor.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_predictor.hpp
similarity index 92%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_predictor.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_predictor.hpp
index 0c5f04497d058..474c98bfa13b2 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/steering_predictor.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/steering_predictor.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
 
 #include "rclcpp/rclcpp.hpp"
 
@@ -81,4 +81,4 @@ class SteeringPredictor
 
 }  // namespace autoware::motion::control::mpc_lateral_controller
 
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__STEERING_PREDICTOR_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp
similarity index 93%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp
index 20787b1f281b5..654b7665f942a 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp
@@ -44,10 +44,10 @@
  * Tracking", Robotics Institute, Carnegie Mellon University, February 2009.
  */
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/LU>
@@ -122,4 +122,4 @@ class DynamicsBicycleModel : public VehicleModelInterface
   double m_cr;    //!< @brief rear cornering power [N/rad]
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_DYNAMICS_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp
similarity index 91%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp
index 91d3ea826c7d3..d638142daa844 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp
@@ -38,10 +38,10 @@
  *
  */
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/LU>
@@ -106,4 +106,4 @@ class KinematicsBicycleModel : public VehicleModelInterface
   double m_steer_tau;  //!< @brief steering time constant for 1d-model [s]
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp
similarity index 89%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp
index 5731a2025d833..83d0f8f9c1ae1 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp
@@ -35,10 +35,10 @@
  *
  */
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/LU>
@@ -102,5 +102,5 @@ class KinematicsBicycleModelNoDelay : public VehicleModelInterface
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
 // clang-format off
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_NO_DELAY_HPP_  // NOLINT
 // clang-format on
diff --git a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp
similarity index 93%
rename from control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp
rename to control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp
index 9e2d14184d5e7..1b3db8fb3f80f 100644
--- a/control/autoware_mpc_lateral_controller/include/autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp
+++ b/control/autoware_mpc_lateral_controller/include/autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
-#define AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#ifndef AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#define AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
 
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
 
 #include <Eigen/Core>
 
@@ -149,4 +149,4 @@ class VehicleModelInterface
     const MPCTrajectory & reference_trajectory, const double dt) const = 0;
 };
 }  // namespace autoware::motion::control::mpc_lateral_controller
-#endif  // AUTOWARE_MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#endif  // AUTOWARE__MPC_LATERAL_CONTROLLER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
diff --git a/control/autoware_mpc_lateral_controller/package.xml b/control/autoware_mpc_lateral_controller/package.xml
index 1e250dd89ce3f..e25352797a0d0 100644
--- a/control/autoware_mpc_lateral_controller/package.xml
+++ b/control/autoware_mpc_lateral_controller/package.xml
@@ -18,8 +18,10 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_trajectory_follower_base</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_msgs</depend>
@@ -27,14 +29,12 @@
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/control/autoware_mpc_lateral_controller/src/lowpass_filter.cpp b/control/autoware_mpc_lateral_controller/src/lowpass_filter.cpp
index e3bbe78e2428b..bd90b2aa896f6 100644
--- a/control/autoware_mpc_lateral_controller/src/lowpass_filter.cpp
+++ b/control/autoware_mpc_lateral_controller/src/lowpass_filter.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/lowpass_filter.hpp"
+#include "autoware/mpc_lateral_controller/lowpass_filter.hpp"
 
 #include <vector>
 
diff --git a/control/autoware_mpc_lateral_controller/src/mpc.cpp b/control/autoware_mpc_lateral_controller/src/mpc.cpp
index e6fa2ce3c0102..b6ddba60490d6 100644
--- a/control/autoware_mpc_lateral_controller/src/mpc.cpp
+++ b/control/autoware_mpc_lateral_controller/src/mpc.cpp
@@ -12,22 +12,22 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc.hpp"
+#include "autoware/mpc_lateral_controller/mpc.hpp"
 
-#include "autoware_mpc_lateral_controller/mpc_utils.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_utils.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 #include "interpolation/linear_interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
 
 #include <algorithm>
 #include <limits>
 
 namespace autoware::motion::control::mpc_lateral_controller
 {
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::normalizeRadian;
-using tier4_autoware_utils::rad2deg;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::normalizeRadian;
+using autoware::universe_utils::rad2deg;
 
 MPC::MPC(rclcpp::Node & node)
 {
@@ -166,10 +166,11 @@ void MPC::setReferenceTrajectory(
   const Trajectory & trajectory_msg, const TrajectoryFilteringParam & param,
   const Odometry & current_kinematics)
 {
-  const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    trajectory_msg.points, current_kinematics.pose.pose, ego_nearest_dist_threshold,
-    ego_nearest_yaw_threshold);
-  const double ego_offset_to_segment = motion_utils::calcLongitudinalOffsetToSegment(
+  const size_t nearest_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      trajectory_msg.points, current_kinematics.pose.pose, ego_nearest_dist_threshold,
+      ego_nearest_yaw_threshold);
+  const double ego_offset_to_segment = autoware::motion_utils::calcLongitudinalOffsetToSegment(
     trajectory_msg.points, nearest_seg_idx, current_kinematics.pose.pose.position);
 
   const auto mpc_traj_raw = MPCUtils::convertToMPCTrajectory(trajectory_msg);
@@ -183,7 +184,7 @@ void MPC::setReferenceTrajectory(
   }
 
   const auto is_forward_shift =
-    motion_utils::isDrivingForward(mpc_traj_resampled.toTrajectoryPoints());
+    autoware::motion_utils::isDrivingForward(mpc_traj_resampled.toTrajectoryPoints());
 
   // if driving direction is unknown, use previous value
   m_is_forward_shift = is_forward_shift ? is_forward_shift.value() : m_is_forward_shift;
@@ -243,7 +244,7 @@ void MPC::setReferenceTrajectory(
 
 void MPC::resetPrevResult(const SteeringReport & current_steer)
 {
-  // Consider limit. The prev value larger than limitation brakes the optimization constraint and
+  // Consider limit. The prev value larger than limitation breaks the optimization constraint and
   // results in optimization failure.
   const float steer_lim_f = static_cast<float>(m_steer_lim);
   m_raw_steer_cmd_prev = std::clamp(current_steer.steering_tire_angle, -steer_lim_f, steer_lim_f);
@@ -389,9 +390,10 @@ MPCTrajectory MPC::applyVelocityDynamicsFilter(
     return input;
   }
 
-  const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    autoware_traj.points, current_kinematics.pose.pose, ego_nearest_dist_threshold,
-    ego_nearest_yaw_threshold);
+  const size_t nearest_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      autoware_traj.points, current_kinematics.pose.pose, ego_nearest_dist_threshold,
+      ego_nearest_yaw_threshold);
 
   MPCTrajectory output = input;
   MPCUtils::dynamicSmoothingVelocity(
@@ -499,7 +501,7 @@ MPCMatrix MPC::generateMPCMatrix(
     // get reference input (feed-forward)
     m_vehicle_model_ptr->setCurvature(ref_smooth_k);
     m_vehicle_model_ptr->calculateReferenceInput(Uref);
-    if (std::fabs(Uref(0, 0)) < tier4_autoware_utils::deg2rad(m_param.zero_ff_steer_deg)) {
+    if (std::fabs(Uref(0, 0)) < autoware::universe_utils::deg2rad(m_param.zero_ff_steer_deg)) {
       Uref(0, 0) = 0.0;  // ignore curvature noise
     }
     m.Uref_ex.block(i * DIM_U, 0, DIM_U, 1) = Uref;
@@ -676,7 +678,7 @@ double MPC::getPredictionDeltaTime(
 {
   // Calculate the time min_prediction_length ahead from current_pose
   const auto autoware_traj = MPCUtils::convertToAutowareTrajectory(input);
-  const size_t nearest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const size_t nearest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     autoware_traj.points, current_kinematics.pose.pose, ego_nearest_dist_threshold,
     ego_nearest_yaw_threshold);
   double sum_dist = 0;
diff --git a/control/autoware_mpc_lateral_controller/src/mpc_lateral_controller.cpp b/control/autoware_mpc_lateral_controller/src/mpc_lateral_controller.cpp
index cf8a4ed5a251b..43acbb862b573 100644
--- a/control/autoware_mpc_lateral_controller/src/mpc_lateral_controller.cpp
+++ b/control/autoware_mpc_lateral_controller/src/mpc_lateral_controller.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc_lateral_controller.hpp"
-
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
+#include "autoware/mpc_lateral_controller/mpc_lateral_controller.hpp"
+
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "tf2/utils.h"
 #include "tf2_ros/create_timer_ros.h"
 
@@ -35,13 +35,16 @@
 namespace autoware::motion::control::mpc_lateral_controller
 {
 
-MpcLateralController::MpcLateralController(rclcpp::Node & node)
+MpcLateralController::MpcLateralController(
+  rclcpp::Node & node, std::shared_ptr<diagnostic_updater::Updater> diag_updater)
 : clock_(node.get_clock()), logger_(node.get_logger().get_child("lateral_controller"))
 {
   const auto dp_int = [&](const std::string & s) { return node.declare_parameter<int>(s); };
   const auto dp_bool = [&](const std::string & s) { return node.declare_parameter<bool>(s); };
   const auto dp_double = [&](const std::string & s) { return node.declare_parameter<double>(s); };
 
+  diag_updater_ = diag_updater;
+
   m_mpc = std::make_unique<MPC>(node);
 
   m_mpc->m_ctrl_period = node.get_parameter("ctrl_period").as_double();
@@ -152,6 +155,8 @@ MpcLateralController::MpcLateralController(rclcpp::Node & node)
 
   m_mpc->setLogger(logger_);
   m_mpc->setClock(clock_);
+
+  setupDiag();
 }
 
 MpcLateralController::~MpcLateralController()
@@ -227,6 +232,24 @@ std::shared_ptr<SteeringOffsetEstimator> MpcLateralController::createSteerOffset
   return steering_offset_;
 }
 
+void MpcLateralController::setStatus(diagnostic_updater::DiagnosticStatusWrapper & stat)
+{
+  if (m_is_mpc_solved) {
+    stat.summary(diagnostic_msgs::msg::DiagnosticStatus::OK, "MPC succeeded.");
+  } else {
+    const std::string error_msg = "The MPC solver failed. Call MRM to stop the car.";
+    stat.summary(diagnostic_msgs::msg::DiagnosticStatus::ERROR, error_msg);
+  }
+}
+
+void MpcLateralController::setupDiag()
+{
+  auto & d = diag_updater_;
+  d->setHardwareID("mpc_lateral_controller");
+
+  d->add("MPC_solve_checker", [&](auto & stat) { setStatus(stat); });
+}
+
 trajectory_follower::LateralOutput MpcLateralController::run(
   trajectory_follower::InputData const & input_data)
 {
@@ -255,12 +278,16 @@ trajectory_follower::LateralOutput MpcLateralController::run(
   const bool is_mpc_solved = m_mpc->calculateMPC(
     m_current_steering, m_current_kinematic_state, ctrl_cmd, predicted_traj, debug_values);
 
+  m_is_mpc_solved = is_mpc_solved;  // for diagnostic updater
+
+  diag_updater_->force_update();
+
   // reset previous MPC result
   // Note: When a large deviation from the trajectory occurs, the optimization stops and
   // the vehicle will return to the path by re-planning the trajectory or external operation.
   // After the recovery, the previous value of the optimization may deviate greatly from
   // the actual steer angle, and it may make the optimization result unstable.
-  if (!is_mpc_solved) {
+  if (!is_mpc_solved || !is_under_control) {
     m_mpc->resetPrevResult(m_current_steering);
   } else {
     setSteeringToHistory(ctrl_cmd);
@@ -408,7 +435,7 @@ bool MpcLateralController::isStoppedState() const
   // for the stop state judgement. However, it has been removed since the steering
   // control was turned off when approaching/exceeding the stop line on a curve or
   // emergency stop situation and it caused large tracking error.
-  const size_t nearest = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const size_t nearest = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     m_current_trajectory.points, m_current_kinematic_state.pose.pose, m_ego_nearest_dist_threshold,
     m_ego_nearest_yaw_threshold);
 
@@ -497,7 +524,7 @@ bool MpcLateralController::isMpcConverged()
 
   // Find the maximum and minimum values of the steering angle in the past 1 second.
   double min_steering_value = m_mpc_steering_history[0].first.steering_tire_angle;
-  double max_steering_value = m_mpc_steering_history[0].first.steering_tire_angle;
+  double max_steering_value = min_steering_value;
   for (size_t i = 1; i < m_mpc_steering_history.size(); i++) {
     if (m_mpc_steering_history.at(i).first.steering_tire_angle < min_steering_value) {
       min_steering_value = m_mpc_steering_history.at(i).first.steering_tire_angle;
@@ -616,7 +643,7 @@ bool MpcLateralController::isTrajectoryShapeChanged() const
   // TODO(Horibe): update implementation to check trajectory shape around ego vehicle.
   // Now temporally check the goal position.
   for (const auto & trajectory : m_trajectory_buffer) {
-    const auto change_distance = tier4_autoware_utils::calcDistance2d(
+    const auto change_distance = autoware::universe_utils::calcDistance2d(
       trajectory.points.back().pose, m_current_trajectory.points.back().pose);
     if (change_distance > m_new_traj_end_dist) {
       return true;
@@ -633,8 +660,8 @@ bool MpcLateralController::isValidTrajectory(const Trajectory & traj) const
       !isfinite(p.pose.orientation.w) || !isfinite(p.pose.orientation.x) ||
       !isfinite(p.pose.orientation.y) || !isfinite(p.pose.orientation.z) ||
       !isfinite(p.longitudinal_velocity_mps) || !isfinite(p.lateral_velocity_mps) ||
-      !isfinite(p.lateral_velocity_mps) || !isfinite(p.heading_rate_rps) ||
-      !isfinite(p.front_wheel_angle_rad) || !isfinite(p.rear_wheel_angle_rad)) {
+      !isfinite(p.heading_rate_rps) || !isfinite(p.front_wheel_angle_rad) ||
+      !isfinite(p.rear_wheel_angle_rad)) {
       return false;
     }
   }
diff --git a/control/autoware_mpc_lateral_controller/src/mpc_trajectory.cpp b/control/autoware_mpc_lateral_controller/src/mpc_trajectory.cpp
index e84e6cf79a25a..842689527c847 100644
--- a/control/autoware_mpc_lateral_controller/src/mpc_trajectory.cpp
+++ b/control/autoware_mpc_lateral_controller/src/mpc_trajectory.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
 
 namespace autoware::motion::control::mpc_lateral_controller
 {
diff --git a/control/autoware_mpc_lateral_controller/src/mpc_utils.cpp b/control/autoware_mpc_lateral_controller/src/mpc_utils.cpp
index 1a0062372eb22..37eb47ab0396e 100644
--- a/control/autoware_mpc_lateral_controller/src/mpc_utils.cpp
+++ b/control/autoware_mpc_lateral_controller/src/mpc_utils.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc_utils.hpp"
+#include "autoware/mpc_lateral_controller/mpc_utils.hpp"
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/normalization.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -42,9 +42,9 @@ double calcLongitudinalOffset(
 
 namespace MPCUtils
 {
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::createQuaternionFromYaw;
-using tier4_autoware_utils::normalizeRadian;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::createQuaternionFromYaw;
+using autoware::universe_utils::normalizeRadian;
 
 double calcDistance2d(const MPCTrajectory & trajectory, const size_t idx1, const size_t idx2)
 {
@@ -240,7 +240,7 @@ std::vector<double> calcTrajectoryCurvature(
     p2.y = traj.y.at(curr_idx);
     p3.y = traj.y.at(next_idx);
     try {
-      curvature_vec.at(curr_idx) = tier4_autoware_utils::calcCurvature(p1, p2, p3);
+      curvature_vec.at(curr_idx) = autoware::universe_utils::calcCurvature(p1, p2, p3);
     } catch (...) {
       std::cerr << "[MPC] 2 points are too close to calculate curvature." << std::endl;
       curvature_vec.at(curr_idx) = 0.0;
@@ -281,7 +281,7 @@ Trajectory convertToAutowareTrajectory(const MPCTrajectory & input)
     p.pose.position.x = input.x.at(i);
     p.pose.position.y = input.y.at(i);
     p.pose.position.z = input.z.at(i);
-    p.pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(input.yaw.at(i));
+    p.pose.orientation = autoware::universe_utils::createQuaternionFromYaw(input.yaw.at(i));
     p.longitudinal_velocity_mps =
       static_cast<decltype(p.longitudinal_velocity_mps)>(input.vx.at(i));
     output.points.push_back(p);
@@ -346,7 +346,7 @@ bool calcNearestPoseInterp(
     return false;
   }
 
-  *nearest_index = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  *nearest_index = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     autoware_traj.points, self_pose, max_dist, max_yaw);
   const size_t traj_size = traj.size();
 
@@ -389,7 +389,7 @@ bool calcNearestPoseInterp(
   prev_traj_point.x = traj.x.at(prev);
   prev_traj_point.y = traj.y.at(prev);
   const double traj_seg_length =
-    tier4_autoware_utils::calcDistance2d(prev_traj_point, next_traj_point);
+    autoware::universe_utils::calcDistance2d(prev_traj_point, next_traj_point);
   /* if distance between two points are too close */
   if (traj_seg_length < 1.0E-5) {
     nearest_pose->position.x = traj.x.at(*nearest_index);
@@ -460,7 +460,7 @@ void extendTrajectoryInYawDirection(
   const double dt = interval / extend_vel;
   const size_t num_extended_point = static_cast<size_t>(extend_dist / interval);
   for (size_t i = 0; i < num_extended_point; ++i) {
-    extended_pose = tier4_autoware_utils::calcOffsetPose(extended_pose, x_offset, 0.0, 0.0);
+    extended_pose = autoware::universe_utils::calcOffsetPose(extended_pose, x_offset, 0.0, 0.0);
     traj.push_back(
       extended_pose.position.x, extended_pose.position.y, extended_pose.position.z, traj.yaw.back(),
       extend_vel, traj.k.back(), traj.smooth_k.back(), traj.relative_time.back() + dt);
diff --git a/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_osqp.cpp b/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_osqp.cpp
index 66981b0c5c6d4..66a7dcacbeae1 100644
--- a/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_osqp.cpp
+++ b/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_osqp.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
 
 #include <string>
 #include <vector>
diff --git a/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_unconstraint_fast.cpp b/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_unconstraint_fast.cpp
index 315e29d063aad..5c69c176a1858 100644
--- a/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_unconstraint_fast.cpp
+++ b/control/autoware_mpc_lateral_controller/src/qp_solver/qp_solver_unconstraint_fast.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
 
 #include <Eigen/Dense>
 
diff --git a/control/autoware_mpc_lateral_controller/src/steering_offset/steering_offset.cpp b/control/autoware_mpc_lateral_controller/src/steering_offset/steering_offset.cpp
index 6425d5da5e941..63c0c097c2ca1 100644
--- a/control/autoware_mpc_lateral_controller/src/steering_offset/steering_offset.cpp
+++ b/control/autoware_mpc_lateral_controller/src/steering_offset/steering_offset.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/steering_offset/steering_offset.hpp"
+#include "autoware/mpc_lateral_controller/steering_offset/steering_offset.hpp"
 
 #include <algorithm>
 #include <iostream>
diff --git a/control/autoware_mpc_lateral_controller/src/steering_predictor.cpp b/control/autoware_mpc_lateral_controller/src/steering_predictor.cpp
index 759a36a16de62..7683d2f8153ff 100644
--- a/control/autoware_mpc_lateral_controller/src/steering_predictor.cpp
+++ b/control/autoware_mpc_lateral_controller/src/steering_predictor.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/steering_predictor.hpp"
+#include "autoware/mpc_lateral_controller/steering_predictor.hpp"
 
 namespace autoware::motion::control::mpc_lateral_controller
 {
diff --git a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_dynamics.cpp b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_dynamics.cpp
index d5272c48fcbdf..b5fa3ef1ea275 100644
--- a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_dynamics.cpp
+++ b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_dynamics.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
 
 #include <algorithm>
 
diff --git a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
index 97bcafb161cb0..32d97a783627c 100644
--- a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
+++ b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
 
 #include <cmath>
 
diff --git a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.cpp b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.cpp
index d2857d8b42182..824dc25220482 100644
--- a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.cpp
+++ b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
 
 #include <cmath>
 
diff --git a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_interface.cpp b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_interface.cpp
index e1b17d3d96278..78cf8ba63b59b 100644
--- a/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_interface.cpp
+++ b/control/autoware_mpc_lateral_controller/src/vehicle_model/vehicle_model_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_interface.hpp"
 
 namespace autoware::motion::control::mpc_lateral_controller
 {
diff --git a/control/autoware_mpc_lateral_controller/test/test_lowpass_filter.cpp b/control/autoware_mpc_lateral_controller/test/test_lowpass_filter.cpp
index bfb695cdeee8a..a642976efc497 100644
--- a/control/autoware_mpc_lateral_controller/test/test_lowpass_filter.cpp
+++ b/control/autoware_mpc_lateral_controller/test/test_lowpass_filter.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/lowpass_filter.hpp"
+#include "autoware/mpc_lateral_controller/lowpass_filter.hpp"
 #include "gtest/gtest.h"
 
 #include <vector>
diff --git a/control/autoware_mpc_lateral_controller/test/test_mpc.cpp b/control/autoware_mpc_lateral_controller/test/test_mpc.cpp
index 3fd4b010852c0..c4a67552a6083 100644
--- a/control/autoware_mpc_lateral_controller/test/test_mpc.cpp
+++ b/control/autoware_mpc_lateral_controller/test/test_mpc.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc.hpp"
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
-#include "autoware_mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
-#include "autoware_mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
+#include "autoware/mpc_lateral_controller/mpc.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_osqp.hpp"
+#include "autoware/mpc_lateral_controller/qp_solver/qp_solver_unconstraint_fast.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_dynamics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
+#include "autoware/mpc_lateral_controller/vehicle_model/vehicle_model_bicycle_kinematics_no_delay.hpp"
 #include "gtest/gtest.h"
 #include "rclcpp/rclcpp.hpp"
 
diff --git a/control/autoware_mpc_lateral_controller/test/test_mpc_utils.cpp b/control/autoware_mpc_lateral_controller/test/test_mpc_utils.cpp
index b55435dffd024..2f6b93139cbd2 100644
--- a/control/autoware_mpc_lateral_controller/test/test_mpc_utils.cpp
+++ b/control/autoware_mpc_lateral_controller/test/test_mpc_utils.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_mpc_lateral_controller/mpc_trajectory.hpp"
-#include "autoware_mpc_lateral_controller/mpc_utils.hpp"
+#include "autoware/mpc_lateral_controller/mpc_trajectory.hpp"
+#include "autoware/mpc_lateral_controller/mpc_utils.hpp"
 #include "gtest/gtest.h"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
diff --git a/control/autoware_operation_mode_transition_manager/package.xml b/control/autoware_operation_mode_transition_manager/package.xml
index c93b38c537a73..de514e70a0f2e 100644
--- a/control/autoware_operation_mode_transition_manager/package.xml
+++ b/control/autoware_operation_mode_transition_manager/package.xml
@@ -13,16 +13,16 @@
   <build_depend>rosidl_default_generators</build_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>component_interface_specs</depend>
   <depend>component_interface_utils</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_control_msgs</depend>
   <depend>tier4_system_msgs</depend>
   <depend>tier4_vehicle_msgs</depend>
diff --git a/control/autoware_operation_mode_transition_manager/src/node.hpp b/control/autoware_operation_mode_transition_manager/src/node.hpp
index 0cacb083fc293..d69d79f9640d8 100644
--- a/control/autoware_operation_mode_transition_manager/src/node.hpp
+++ b/control/autoware_operation_mode_transition_manager/src/node.hpp
@@ -18,10 +18,10 @@
 #include "compatibility.hpp"
 #include "state.hpp"
 
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 #include <component_interface_specs/system.hpp>
 #include <component_interface_utils/rclcpp.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
 
 #include <memory>
 #include <unordered_map>
@@ -49,10 +49,10 @@ class OperationModeTransitionManager : public rclcpp::Node
     const ChangeOperationModeAPI::Service::Response::SharedPtr response);
 
   using ControlModeCommandType = ControlModeCommand::Request::_mode_type;
-  tier4_autoware_utils::InterProcessPollingSubscriber<ControlModeReport> sub_control_mode_report_{
-    this, "control_mode_report"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<OperationModeState> sub_gate_operation_mode_{
-    this, "gate_operation_mode"};
+  autoware::universe_utils::InterProcessPollingSubscriber<ControlModeReport>
+    sub_control_mode_report_{this, "control_mode_report"};
+  autoware::universe_utils::InterProcessPollingSubscriber<OperationModeState>
+    sub_gate_operation_mode_{this, "gate_operation_mode"};
   rclcpp::Client<ControlModeCommand>::SharedPtr cli_control_mode_;
   rclcpp::Publisher<ModeChangeBase::DebugInfo>::SharedPtr pub_debug_info_;
   rclcpp::TimerBase::SharedPtr timer_;
diff --git a/control/autoware_operation_mode_transition_manager/src/state.cpp b/control/autoware_operation_mode_transition_manager/src/state.cpp
index 4eaf0ddf8e764..31cd32e6311a9 100644
--- a/control/autoware_operation_mode_transition_manager/src/state.cpp
+++ b/control/autoware_operation_mode_transition_manager/src/state.cpp
@@ -16,9 +16,9 @@
 
 #include "util.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/geometry/pose_deviation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/pose_deviation.hpp>
 
 #include <algorithm>
 #include <cmath>
@@ -26,9 +26,9 @@
 namespace autoware::operation_mode_transition_manager
 {
 
-using motion_utils::findNearestIndex;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcYawDeviation;
+using autoware::motion_utils::findNearestIndex;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcYawDeviation;
 
 AutonomousMode::AutonomousMode(rclcpp::Node * node)
 : logger_(node->get_logger()), clock_(node->get_clock())
@@ -126,7 +126,7 @@ bool AutonomousMode::isModeChangeCompleted()
 
   // check for lateral deviation
   const auto dist_deviation =
-    motion_utils::calcLateralOffset(trajectory_.points, kinematics_.pose.pose.position);
+    autoware::motion_utils::calcLateralOffset(trajectory_.points, kinematics_.pose.pose.position);
   if (std::isnan(dist_deviation)) {
     RCLCPP_INFO(logger_, "Not stable yet: lateral offset calculation failed.");
     return unstable();
@@ -138,7 +138,7 @@ bool AutonomousMode::isModeChangeCompleted()
 
   // check for yaw deviation
   const auto yaw_deviation =
-    motion_utils::calcYawDeviation(trajectory_.points, kinematics_.pose.pose);
+    autoware::motion_utils::calcYawDeviation(trajectory_.points, kinematics_.pose.pose);
   if (std::isnan(yaw_deviation)) {
     RCLCPP_INFO(logger_, "Not stable yet: lateral offset calculation failed.");
     return unstable();
diff --git a/control/autoware_pid_longitudinal_controller/README.md b/control/autoware_pid_longitudinal_controller/README.md
index 9929d955e5ba7..b147b3b795391 100644
--- a/control/autoware_pid_longitudinal_controller/README.md
+++ b/control/autoware_pid_longitudinal_controller/README.md
@@ -212,8 +212,8 @@ AutonomouStuff Lexus RX 450h for under 40 km/h driving.
 | max_d_effort                          | double | max value of acceleration with d gain                                                                                                                              | 0.0           |
 | min_d_effort                          | double | min value of acceleration with d gain                                                                                                                              | 0.0           |
 | lpf_vel_error_gain                    | double | gain of low-pass filter for velocity error                                                                                                                         | 0.9           |
-| enable_integration_at_low_speed       | bool   | Whether to enable integration of acceleration errors when the vehicle speed is lower than `current_vel_threshold_pid_integration` or not.                          |
-| current_vel_threshold_pid_integration | double | Velocity error is integrated for I-term only when the absolute value of current velocity is larger than this parameter. [m/s]                                      |
+| enable_integration_at_low_speed       | bool   | Whether to enable integration of acceleration errors when the vehicle speed is lower than `current_vel_threshold_pid_integration` or not.                          | false         |
+| current_vel_threshold_pid_integration | double | Velocity error is integrated for I-term only when the absolute value of current velocity is larger than this parameter. [m/s]                                      | 0.5           |
 | time_threshold_before_pid_integration | double | How much time without the vehicle moving must past to enable PID error integration. [s]                                                                            | 5.0           |
 | brake_keeping_acc                     | double | If `enable_brake_keeping_before_stop` is true, a certain acceleration is kept during DRIVE state before the ego stops [m/s^2] See [Brake keeping](#brake-keeping). | 0.2           |
 
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/debug_values.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/debug_values.hpp
similarity index 93%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/debug_values.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/debug_values.hpp
index bd682f9566134..e8834665de3ec 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/debug_values.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/debug_values.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
 
 #include <array>
 #include <cstddef>
@@ -93,4 +93,4 @@ class DebugValues
 };
 }  // namespace autoware::motion::control::pid_longitudinal_controller
 
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__DEBUG_VALUES_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp
similarity index 88%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp
index 171571b493774..a36a0b4eefccd 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
 
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spherical_linear_interpolation.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "tf2/utils.h"
 
 #include <Eigen/Core>
@@ -87,12 +87,13 @@ std::pair<TrajectoryPoint, size_t> lerpTrajectoryPoint(
   const T & points, const Pose & pose, const double max_dist, const double max_yaw)
 {
   TrajectoryPoint interpolated_point;
-  const size_t seg_idx =
-    motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(points, pose, max_dist, max_yaw);
+  const size_t seg_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    points, pose, max_dist, max_yaw);
 
   const double len_to_interpolated =
-    motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, pose.position);
-  const double len_segment = motion_utils::calcSignedArcLength(points, seg_idx, seg_idx + 1);
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, pose.position);
+  const double len_segment =
+    autoware::motion_utils::calcSignedArcLength(points, seg_idx, seg_idx + 1);
   const double interpolate_ratio = std::clamp(len_to_interpolated / len_segment, 0.0, 1.0);
 
   {
@@ -155,4 +156,4 @@ geometry_msgs::msg::Pose findTrajectoryPoseAfterDistance(
 }  // namespace longitudinal_utils
 }  // namespace autoware::motion::control::pid_longitudinal_controller
 
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LONGITUDINAL_CONTROLLER_UTILS_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/lowpass_filter.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/lowpass_filter.hpp
similarity index 89%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/lowpass_filter.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/lowpass_filter.hpp
index a743be573cf60..081e78e2de214 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/lowpass_filter.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/lowpass_filter.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
 
 #include <algorithm>
 #include <cmath>
@@ -63,4 +63,4 @@ class LowpassFilter1d
   }
 };
 }  // namespace autoware::motion::control::pid_longitudinal_controller
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__LOWPASS_FILTER_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid.hpp
similarity index 94%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid.hpp
index 8323e35b5da27..42138ecc1fb8c 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_HPP_
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_HPP_
 
 #include <vector>
 
@@ -91,4 +91,4 @@ class PIDController
 };
 }  // namespace autoware::motion::control::pid_longitudinal_controller
 
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid_longitudinal_controller.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid_longitudinal_controller.hpp
similarity index 94%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid_longitudinal_controller.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid_longitudinal_controller.hpp
index 98882509aaceb..9291d538b022f 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/pid_longitudinal_controller.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/pid_longitudinal_controller.hpp
@@ -12,22 +12,22 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
-
-#include "autoware_pid_longitudinal_controller/debug_values.hpp"
-#include "autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp"
-#include "autoware_pid_longitudinal_controller/lowpass_filter.hpp"
-#include "autoware_pid_longitudinal_controller/pid.hpp"
-#include "autoware_pid_longitudinal_controller/smooth_stop.hpp"
-#include "autoware_trajectory_follower_base/longitudinal_controller_base.hpp"
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
+
+#include "autoware/pid_longitudinal_controller/debug_values.hpp"
+#include "autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp"
+#include "autoware/pid_longitudinal_controller/lowpass_filter.hpp"
+#include "autoware/pid_longitudinal_controller/pid.hpp"
+#include "autoware/pid_longitudinal_controller/smooth_stop.hpp"
+#include "autoware/trajectory_follower_base/longitudinal_controller_base.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "diagnostic_updater/diagnostic_updater.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
 #include "tf2_ros/buffer.h"
 #include "tf2_ros/transform_listener.h"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/Geometry>
@@ -50,10 +50,10 @@
 
 namespace autoware::motion::control::pid_longitudinal_controller
 {
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 using autoware_adapi_v1_msgs::msg::OperationModeState;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
 using visualization_msgs::msg::Marker;
 
 namespace trajectory_follower = ::autoware::motion::control::trajectory_follower;
@@ -408,4 +408,4 @@ class PidLongitudinalController : public trajectory_follower::LongitudinalContro
 };
 }  // namespace autoware::motion::control::pid_longitudinal_controller
 
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__PID_LONGITUDINAL_CONTROLLER_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/smooth_stop.hpp b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/smooth_stop.hpp
similarity index 95%
rename from control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/smooth_stop.hpp
rename to control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/smooth_stop.hpp
index e433fd158026b..e84b44d95c886 100644
--- a/control/autoware_pid_longitudinal_controller/include/autoware_pid_longitudinal_controller/smooth_stop.hpp
+++ b/control/autoware_pid_longitudinal_controller/include/autoware/pid_longitudinal_controller/smooth_stop.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
-#define AUTOWARE_PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
+#ifndef AUTOWARE__PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
+#define AUTOWARE__PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
 
 #include "rclcpp/rclcpp.hpp"
 
@@ -112,4 +112,4 @@ class SmoothStop
 };
 }  // namespace autoware::motion::control::pid_longitudinal_controller
 
-#endif  // AUTOWARE_PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
+#endif  // AUTOWARE__PID_LONGITUDINAL_CONTROLLER__SMOOTH_STOP_HPP_
diff --git a/control/autoware_pid_longitudinal_controller/package.xml b/control/autoware_pid_longitudinal_controller/package.xml
index a84083eae2725..91d77e454b7ff 100644
--- a/control/autoware_pid_longitudinal_controller/package.xml
+++ b/control/autoware_pid_longitudinal_controller/package.xml
@@ -20,8 +20,10 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_trajectory_follower_base</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_msgs</depend>
@@ -29,13 +31,11 @@
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/control/autoware_pid_longitudinal_controller/src/longitudinal_controller_utils.cpp b/control/autoware_pid_longitudinal_controller/src/longitudinal_controller_utils.cpp
index 0d8707afccad8..5eb6c87e063eb 100644
--- a/control/autoware_pid_longitudinal_controller/src/longitudinal_controller_utils.cpp
+++ b/control/autoware_pid_longitudinal_controller/src/longitudinal_controller_utils.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp"
+#include "autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp"
 
 #include "tf2/LinearMath/Matrix3x3.h"
 #include "tf2/LinearMath/Quaternion.h"
@@ -58,12 +58,12 @@ bool isValidTrajectory(const Trajectory & traj)
 double calcStopDistance(
   const Pose & current_pose, const Trajectory & traj, const double max_dist, const double max_yaw)
 {
-  const auto stop_idx_opt = motion_utils::searchZeroVelocityIndex(traj.points);
+  const auto stop_idx_opt = autoware::motion_utils::searchZeroVelocityIndex(traj.points);
 
   const size_t end_idx = stop_idx_opt ? *stop_idx_opt : traj.points.size() - 1;
-  const size_t seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  const size_t seg_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     traj.points, current_pose, max_dist, max_yaw);
-  const double signed_length_on_traj = motion_utils::calcSignedArcLength(
+  const double signed_length_on_traj = autoware::motion_utils::calcSignedArcLength(
     traj.points, current_pose.position, seg_idx, traj.points.at(end_idx).pose.position,
     std::min(end_idx, traj.points.size() - 2));
 
@@ -93,7 +93,7 @@ double getPitchByTraj(
 
   const auto [prev_idx, next_idx] = [&]() {
     for (size_t i = start_idx + 1; i < trajectory.points.size(); ++i) {
-      const double dist = tier4_autoware_utils::calcDistance3d(
+      const double dist = autoware::universe_utils::calcDistance3d(
         trajectory.points.at(start_idx), trajectory.points.at(i));
       if (dist > wheel_base) {
         // calculate pitch from trajectory between rear wheel (nearest) and front center (i)
@@ -105,7 +105,7 @@ double getPitchByTraj(
       std::min(start_idx, trajectory.points.size() - 2), trajectory.points.size() - 1);
   }();
 
-  return tier4_autoware_utils::calcElevationAngle(
+  return autoware::universe_utils::calcElevationAngle(
     trajectory.points.at(prev_idx).pose.position, trajectory.points.at(next_idx).pose.position);
 }
 
@@ -166,7 +166,7 @@ geometry_msgs::msg::Pose findTrajectoryPoseAfterDistance(
   double remain_dist = distance;
   geometry_msgs::msg::Pose p = trajectory.points.back().pose;
   for (size_t i = src_idx; i < trajectory.points.size() - 1; ++i) {
-    const double dist = tier4_autoware_utils::calcDistance3d(
+    const double dist = autoware::universe_utils::calcDistance3d(
       trajectory.points.at(i).pose, trajectory.points.at(i + 1).pose);
     if (remain_dist < dist) {
       if (remain_dist <= 0.0) {
diff --git a/control/autoware_pid_longitudinal_controller/src/pid.cpp b/control/autoware_pid_longitudinal_controller/src/pid.cpp
index 6d2c61f639746..64ffdce8a4243 100644
--- a/control/autoware_pid_longitudinal_controller/src/pid.cpp
+++ b/control/autoware_pid_longitudinal_controller/src/pid.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/pid.hpp"
+#include "autoware/pid_longitudinal_controller/pid.hpp"
 
 #include <algorithm>
 #include <memory>
diff --git a/control/autoware_pid_longitudinal_controller/src/pid_longitudinal_controller.cpp b/control/autoware_pid_longitudinal_controller/src/pid_longitudinal_controller.cpp
index 4cca525f6ebf3..78c7ccf832514 100644
--- a/control/autoware_pid_longitudinal_controller/src/pid_longitudinal_controller.cpp
+++ b/control/autoware_pid_longitudinal_controller/src/pid_longitudinal_controller.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/pid_longitudinal_controller.hpp"
+#include "autoware/pid_longitudinal_controller/pid_longitudinal_controller.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/normalization.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -465,10 +465,10 @@ PidLongitudinalController::ControlData PidLongitudinalController::getControlData
 
   // check if the deviation is worth emergency
   m_diagnostic_data.trans_deviation =
-    tier4_autoware_utils::calcDistance2d(current_interpolated_pose.first, current_pose);
+    autoware::universe_utils::calcDistance2d(current_interpolated_pose.first, current_pose);
   const bool is_dist_deviation_large =
     m_state_transition_params.emergency_state_traj_trans_dev < m_diagnostic_data.trans_deviation;
-  m_diagnostic_data.rot_deviation = std::abs(tier4_autoware_utils::normalizeRadian(
+  m_diagnostic_data.rot_deviation = std::abs(autoware::universe_utils::normalizeRadian(
     tf2::getYaw(current_interpolated_pose.first.pose.orientation) -
     tf2::getYaw(current_pose.orientation)));
   const bool is_yaw_deviation_large =
@@ -509,11 +509,11 @@ PidLongitudinalController::ControlData PidLongitudinalController::getControlData
   // ==========================================================================================
   // Remove overlapped points after inserting the interpolated points
   control_data.interpolated_traj.points =
-    motion_utils::removeOverlapPoints(control_data.interpolated_traj.points);
-  control_data.nearest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+    autoware::motion_utils::removeOverlapPoints(control_data.interpolated_traj.points);
+  control_data.nearest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     control_data.interpolated_traj.points, nearest_point.pose, m_ego_nearest_dist_threshold,
     m_ego_nearest_yaw_threshold);
-  control_data.target_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  control_data.target_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     control_data.interpolated_traj.points, target_point.pose, m_ego_nearest_dist_threshold,
     m_ego_nearest_yaw_threshold);
 
@@ -594,7 +594,7 @@ void PidLongitudinalController::updateControlState(const ControlData & control_d
     stop_dist > p.drive_state_stop_dist + p.drive_state_offset_stop_dist;
   const bool departure_condition_from_stopped = stop_dist > p.drive_state_stop_dist;
 
-  // NOTE: the same velocity threshold as motion_utils::searchZeroVelocity
+  // NOTE: the same velocity threshold as autoware::motion_utils::searchZeroVelocity
   static constexpr double vel_epsilon = 1e-3;
 
   // Let vehicle start after the steering is converged for control accuracy
@@ -605,7 +605,7 @@ void PidLongitudinalController::updateControlState(const ControlData & control_d
     auto marker = createDefaultMarker(
       "map", clock_->now(), "stop_reason", 0, Marker::TEXT_VIEW_FACING,
       createMarkerScale(0.0, 0.0, 1.0), createMarkerColor(1.0, 1.0, 1.0, 0.999));
-    marker.pose = tier4_autoware_utils::calcOffsetPose(
+    marker.pose = autoware::universe_utils::calcOffsetPose(
       m_current_kinematic_state.pose.pose, m_wheel_base + m_front_overhang,
       m_vehicle_width / 2 + 2.0, 1.5);
     marker.text = "steering not\nconverged";
@@ -971,7 +971,7 @@ PidLongitudinalController::Motion PidLongitudinalController::keepBrakeBeforeStop
   }
   const auto traj = control_data.interpolated_traj;
 
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(traj.points);
+  const auto stop_idx = autoware::motion_utils::searchZeroVelocityIndex(traj.points);
   if (!stop_idx) {
     return output_motion;
   }
diff --git a/control/autoware_pid_longitudinal_controller/src/smooth_stop.cpp b/control/autoware_pid_longitudinal_controller/src/smooth_stop.cpp
index 9d8ad05235f11..cb87157fe1114 100644
--- a/control/autoware_pid_longitudinal_controller/src/smooth_stop.cpp
+++ b/control/autoware_pid_longitudinal_controller/src/smooth_stop.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/smooth_stop.hpp"
+#include "autoware/pid_longitudinal_controller/smooth_stop.hpp"
 
 #include <experimental/optional>  // NOLINT
 
diff --git a/control/autoware_pid_longitudinal_controller/test/test_longitudinal_controller_utils.cpp b/control/autoware_pid_longitudinal_controller/test/test_longitudinal_controller_utils.cpp
index de4d32008aa28..3c547e762bce6 100644
--- a/control/autoware_pid_longitudinal_controller/test/test_longitudinal_controller_utils.cpp
+++ b/control/autoware_pid_longitudinal_controller/test/test_longitudinal_controller_utils.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/longitudinal_controller_utils.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/pid_longitudinal_controller/longitudinal_controller_utils.hpp"
 #include "gtest/gtest.h"
 #include "interpolation/spherical_linear_interpolation.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
 #include "tf2/LinearMath/Quaternion.h"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
diff --git a/control/autoware_pid_longitudinal_controller/test/test_pid.cpp b/control/autoware_pid_longitudinal_controller/test/test_pid.cpp
index 0e3e0c70945dc..a125707f3867f 100644
--- a/control/autoware_pid_longitudinal_controller/test/test_pid.cpp
+++ b/control/autoware_pid_longitudinal_controller/test/test_pid.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/pid.hpp"
+#include "autoware/pid_longitudinal_controller/pid.hpp"
 #include "gtest/gtest.h"
 
 #include <vector>
diff --git a/control/autoware_pid_longitudinal_controller/test/test_smooth_stop.cpp b/control/autoware_pid_longitudinal_controller/test/test_smooth_stop.cpp
index 4f4fbb2354fa1..a6d03b8032fe6 100644
--- a/control/autoware_pid_longitudinal_controller/test/test_smooth_stop.cpp
+++ b/control/autoware_pid_longitudinal_controller/test/test_smooth_stop.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pid_longitudinal_controller/smooth_stop.hpp"
+#include "autoware/pid_longitudinal_controller/smooth_stop.hpp"
 #include "gtest/gtest.h"
 #include "rclcpp/rclcpp.hpp"
 
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit.hpp
similarity index 94%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit.hpp
index 7998cbefa4e39..4b16d2bf5717d 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit.hpp
@@ -27,8 +27,8 @@
  * limitations under the License.
  */
 
-#ifndef AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
-#define AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
+#define AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -85,4 +85,4 @@ class PurePursuit
 
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp
similarity index 90%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp
index f5c6ff50712eb..16cb6471deb2c 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp
@@ -27,19 +27,19 @@
  * limitations under the License.
  */
 
-#ifndef AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
-#define AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
+#define AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit.hpp"
-#include "autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp"
-#include "autoware_trajectory_follower_base/lateral_controller_base.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp"
+#include "autoware/trajectory_follower_base/lateral_controller_base.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2_ros/buffer.h"
 #include "tf2_ros/transform_listener.h"
 
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/conversion.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include "autoware_control_msgs/msg/lateral.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -176,4 +176,4 @@ class PurePursuitLateralController : public LateralControllerBase
 
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_LATERAL_CONTROLLER_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_node.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_node.hpp
similarity index 83%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_node.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_node.hpp
index 1a67dbe1a178b..58ce03a0dbf26 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_node.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_node.hpp
@@ -27,15 +27,15 @@
  * limitations under the License.
  */
 
-#ifndef AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
-#define AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
+#define AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit.hpp"
-#include "autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp"
 
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
 
 #include <autoware_control_msgs/msg/lateral.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -78,10 +78,10 @@ class PurePursuitNode : public rclcpp::Node
 
 private:
   // Subscriber
-  tier4_autoware_utils::SelfPoseListener self_pose_listener_{this};
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::Trajectory>
+  autoware::universe_utils::SelfPoseListener self_pose_listener_{this};
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::Trajectory>
     sub_trajectory_{this, "input/reference_trajectory"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
     sub_current_odometry_{this, "input/current_odometry"};
 
   autoware_planning_msgs::msg::Trajectory::ConstSharedPtr trajectory_;
@@ -126,4 +126,4 @@ class PurePursuitNode : public rclcpp::Node
 
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_NODE_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp
similarity index 89%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp
index e5fe80d9dc68c..ffe328b225d61 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp
@@ -27,8 +27,8 @@
  * limitations under the License.
  */
 
-#ifndef AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
-#define AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
+#define AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <visualization_msgs/msg/marker.hpp>
@@ -44,4 +44,4 @@ visualization_msgs::msg::Marker createTrajectoryCircleMarker(
   const geometry_msgs::msg::Point & target, const geometry_msgs::msg::Pose & current_pose);
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__AUTOWARE_PURE_PURSUIT_VIZ_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/interpolate.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/interpolate.hpp
similarity index 91%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/interpolate.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/interpolate.hpp
index eb7703b56c1a2..01d64fe83c54f 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/interpolate.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/interpolate.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
-#define AUTOWARE_PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
+#define AUTOWARE__PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
 
 #include <cmath>
 #include <iostream>
@@ -52,4 +52,4 @@ class SplineInterpolate
 };
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__UTIL__INTERPOLATE_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/marker_helper.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/marker_helper.hpp
similarity index 93%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/marker_helper.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/marker_helper.hpp
index d265ab751313a..694a9f9ed0ce5 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/marker_helper.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/marker_helper.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
-#define AUTOWARE_PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
+#define AUTOWARE__PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -104,4 +104,4 @@ inline void appendMarkerArray(
 }
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__UTIL__MARKER_HELPER_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/planning_utils.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/planning_utils.hpp
similarity index 96%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/planning_utils.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/planning_utils.hpp
index e5f7072435c9c..229cc6654c868 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/planning_utils.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/planning_utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
-#define AUTOWARE_PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
+#define AUTOWARE__PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
 
 #define EIGEN_MPL2_ONLY
 
@@ -141,4 +141,4 @@ geometry_msgs::msg::Quaternion getQuaternionFromYaw(const double _yaw);
 }  // namespace planning_utils
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__UTIL__PLANNING_UTILS_HPP_
diff --git a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/tf_utils.hpp b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/tf_utils.hpp
similarity index 94%
rename from control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/tf_utils.hpp
rename to control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/tf_utils.hpp
index b5b635feebcc7..05701f678dc3a 100644
--- a/control/autoware_pure_pursuit/include/autoware_pure_pursuit/util/tf_utils.hpp
+++ b/control/autoware_pure_pursuit/include/autoware/pure_pursuit/util/tf_utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PURE_PURSUIT__UTIL__TF_UTILS_HPP_
-#define AUTOWARE_PURE_PURSUIT__UTIL__TF_UTILS_HPP_
+#ifndef AUTOWARE__PURE_PURSUIT__UTIL__TF_UTILS_HPP_
+#define AUTOWARE__PURE_PURSUIT__UTIL__TF_UTILS_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -94,4 +94,4 @@ inline boost::optional<geometry_msgs::msg::PoseStamped> getCurrentPose(
 }  // namespace tf_utils
 }  // namespace autoware::pure_pursuit
 
-#endif  // AUTOWARE_PURE_PURSUIT__UTIL__TF_UTILS_HPP_
+#endif  // AUTOWARE__PURE_PURSUIT__UTIL__TF_UTILS_HPP_
diff --git a/control/autoware_pure_pursuit/package.xml b/control/autoware_pure_pursuit/package.xml
index 138eda06926b5..fc5c0e41a15a0 100644
--- a/control/autoware_pure_pursuit/package.xml
+++ b/control/autoware_pure_pursuit/package.xml
@@ -15,13 +15,14 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_trajectory_follower_base</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>boost</depend>
   <depend>geometry_msgs</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -31,7 +32,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.cpp
index ba1d97bf66d28..803a6ef1e8617 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.cpp
@@ -28,11 +28,11 @@
  * limitations under the License.
  */
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp"
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp"
-#include "autoware_pure_pursuit/util/planning_utils.hpp"
-#include "autoware_pure_pursuit/util/tf_utils.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp"
+#include "autoware/pure_pursuit/util/planning_utils.hpp"
+#include "autoware/pure_pursuit/util/tf_utils.hpp"
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
@@ -141,7 +141,7 @@ TrajectoryPoint PurePursuitLateralController::calcNextPose(
   const double ds, TrajectoryPoint & point, Lateral cmd) const
 {
   geometry_msgs::msg::Transform transform;
-  transform.translation = tier4_autoware_utils::createTranslation(ds, 0.0, 0.0);
+  transform.translation = autoware::universe_utils::createTranslation(ds, 0.0, 0.0);
   transform.rotation =
     planning_utils::getQuaternionFromYaw(((tan(cmd.steering_tire_angle) * ds) / param_.wheel_base));
   TrajectoryPoint output_p;
@@ -158,17 +158,17 @@ void PurePursuitLateralController::setResampledTrajectory()
 {
   // Interpolate with constant interval distance.
   std::vector<double> out_arclength;
-  const auto input_tp_array = motion_utils::convertToTrajectoryPointArray(trajectory_);
-  const auto traj_length = motion_utils::calcArcLength(input_tp_array);
+  const auto input_tp_array = autoware::motion_utils::convertToTrajectoryPointArray(trajectory_);
+  const auto traj_length = autoware::motion_utils::calcArcLength(input_tp_array);
   for (double s = 0; s < traj_length; s += param_.resampling_ds) {
     out_arclength.push_back(s);
   }
-  trajectory_resampled_ =
-    std::make_shared<autoware_planning_msgs::msg::Trajectory>(motion_utils::resampleTrajectory(
-      motion_utils::convertToTrajectory(input_tp_array), out_arclength));
+  trajectory_resampled_ = std::make_shared<autoware_planning_msgs::msg::Trajectory>(
+    autoware::motion_utils::resampleTrajectory(
+      autoware::motion_utils::convertToTrajectory(input_tp_array), out_arclength));
   trajectory_resampled_->points.back() = trajectory_.points.back();
   trajectory_resampled_->header = trajectory_.header;
-  output_tp_array_ = motion_utils::convertToTrajectoryPointArray(*trajectory_resampled_);
+  output_tp_array_ = autoware::motion_utils::convertToTrajectoryPointArray(*trajectory_resampled_);
 }
 
 double PurePursuitLateralController::calcCurvature(const size_t closest_idx)
@@ -202,10 +202,10 @@ double PurePursuitLateralController::calcCurvature(const size_t closest_idx)
   double current_curvature = 0.0;
 
   try {
-    current_curvature = tier4_autoware_utils::calcCurvature(
-      tier4_autoware_utils::getPoint(trajectory_resampled_->points.at(prev_idx)),
-      tier4_autoware_utils::getPoint(trajectory_resampled_->points.at(closest_idx)),
-      tier4_autoware_utils::getPoint(trajectory_resampled_->points.at(next_idx)));
+    current_curvature = autoware::universe_utils::calcCurvature(
+      autoware::universe_utils::getPoint(trajectory_resampled_->points.at(prev_idx)),
+      autoware::universe_utils::getPoint(trajectory_resampled_->points.at(closest_idx)),
+      autoware::universe_utils::getPoint(trajectory_resampled_->points.at(next_idx)));
   } catch (std::exception const & e) {
     // ...code that handles the error...
     RCLCPP_WARN(rclcpp::get_logger("pure_pursuit"), "%s", e.what());
@@ -268,8 +268,8 @@ void PurePursuitLateralController::averageFilterTrajectory(
 
 boost::optional<Trajectory> PurePursuitLateralController::generatePredictedTrajectory()
 {
-  const auto closest_idx_result =
-    motion_utils::findNearestIndex(output_tp_array_, current_odometry_.pose.pose, 3.0, M_PI_4);
+  const auto closest_idx_result = autoware::motion_utils::findNearestIndex(
+    output_tp_array_, current_odometry_.pose.pose, 3.0, M_PI_4);
 
   if (!closest_idx_result) {
     return boost::none;
@@ -427,7 +427,7 @@ boost::optional<PpOutput> PurePursuitLateralController::calcTargetCurvature(
   // Calculate target point for velocity/acceleration
 
   const auto closest_idx_result =
-    motion_utils::findNearestIndex(output_tp_array_, pose, 3.0, M_PI_4);
+    autoware::motion_utils::findNearestIndex(output_tp_array_, pose, 3.0, M_PI_4);
   if (!closest_idx_result) {
     RCLCPP_ERROR(logger_, "cannot find closest waypoint");
     return {};
@@ -439,7 +439,7 @@ boost::optional<PpOutput> PurePursuitLateralController::calcTargetCurvature(
   // calculate the lateral error
 
   const double lateral_error =
-    motion_utils::calcLateralOffset(trajectory_resampled_->points, pose.position);
+    autoware::motion_utils::calcLateralOffset(trajectory_resampled_->points, pose.position);
 
   // calculate the current curvature
 
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_node.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_node.cpp
index 23ce643e18eed..9a3b90b86b98e 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_node.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_node.cpp
@@ -28,11 +28,11 @@
  * limitations under the License.
  */
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit_node.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_node.hpp"
 
-#include "autoware_pure_pursuit/pure_pursuit_viz.hpp"
-#include "autoware_pure_pursuit/util/planning_utils.hpp"
-#include "autoware_pure_pursuit/util/tf_utils.hpp"
+#include "autoware/pure_pursuit/pure_pursuit_viz.hpp"
+#include "autoware/pure_pursuit/util/planning_utils.hpp"
+#include "autoware/pure_pursuit/util/tf_utils.hpp"
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_viz.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_viz.cpp
index 0a2f5fd92a0eb..ceb4601ce2d1e 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_viz.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit/autoware_pure_pursuit_viz.cpp
@@ -28,10 +28,10 @@
  * limitations under the License.
  */
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit_viz.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_viz.hpp"
 
-#include "autoware_pure_pursuit/util/marker_helper.hpp"
-#include "autoware_pure_pursuit/util/planning_utils.hpp"
+#include "autoware/pure_pursuit/util/marker_helper.hpp"
+#include "autoware/pure_pursuit/util/planning_utils.hpp"
 
 #include <vector>
 
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/autoware_pure_pursuit.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/autoware_pure_pursuit.cpp
index 25a3334eb26f8..ed9579f296fea 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/autoware_pure_pursuit.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/autoware_pure_pursuit.cpp
@@ -27,9 +27,9 @@
  * limitations under the License.
  */
 
-#include "autoware_pure_pursuit/autoware_pure_pursuit.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit.hpp"
 
-#include "autoware_pure_pursuit/util/planning_utils.hpp"
+#include "autoware/pure_pursuit/util/planning_utils.hpp"
 
 #include <limits>
 #include <memory>
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/interpolate.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/interpolate.cpp
index 8d7078c87cf39..62f5f7a5737c9 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/interpolate.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/interpolate.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pure_pursuit/util/interpolate.hpp"
+#include "autoware/pure_pursuit/util/interpolate.hpp"
 
 #include <algorithm>
 #include <vector>
diff --git a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/planning_utils.cpp b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/planning_utils.cpp
index bed6fafcf5bfd..71c48fb35e998 100644
--- a/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/planning_utils.cpp
+++ b/control/autoware_pure_pursuit/src/autoware_pure_pursuit_core/planning_utils.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_pure_pursuit/util/planning_utils.hpp"
+#include "autoware/pure_pursuit/util/planning_utils.hpp"
 
 #include <limits>
 #include <utility>
diff --git a/control/autoware_shift_decider/include/autoware_shift_decider/autoware_shift_decider.hpp b/control/autoware_shift_decider/include/autoware/shift_decider/autoware_shift_decider.hpp
similarity index 78%
rename from control/autoware_shift_decider/include/autoware_shift_decider/autoware_shift_decider.hpp
rename to control/autoware_shift_decider/include/autoware/shift_decider/autoware_shift_decider.hpp
index 4702ef17e49bf..c7ce822d1ac18 100644
--- a/control/autoware_shift_decider/include/autoware_shift_decider/autoware_shift_decider.hpp
+++ b/control/autoware_shift_decider/include/autoware/shift_decider/autoware_shift_decider.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
-#define AUTOWARE_SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
+#ifndef AUTOWARE__SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
+#define AUTOWARE__SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
 
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -43,11 +43,11 @@ class ShiftDecider : public rclcpp::Node
   void initTimer(double period_s);
 
   rclcpp::Publisher<autoware_vehicle_msgs::msg::GearCommand>::SharedPtr pub_shift_cmd_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_control_msgs::msg::Control>
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_control_msgs::msg::Control>
     sub_control_cmd_{this, "input/control_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_system_msgs::msg::AutowareState>
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_system_msgs::msg::AutowareState>
     sub_autoware_state_{this, "input/state"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_vehicle_msgs::msg::GearReport>
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_vehicle_msgs::msg::GearReport>
     sub_current_gear_{this, "input/current_gear"};
 
   rclcpp::TimerBase::SharedPtr timer_;
@@ -62,4 +62,4 @@ class ShiftDecider : public rclcpp::Node
 };
 }  // namespace autoware::shift_decider
 
-#endif  // AUTOWARE_SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
+#endif  // AUTOWARE__SHIFT_DECIDER__AUTOWARE_SHIFT_DECIDER_HPP_
diff --git a/control/autoware_shift_decider/package.xml b/control/autoware_shift_decider/package.xml
index 40708c2c73cf1..ebe86ddaac6d6 100644
--- a/control/autoware_shift_decider/package.xml
+++ b/control/autoware_shift_decider/package.xml
@@ -15,10 +15,10 @@
 
   <depend>autoware_control_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_cppcheck</test_depend>
   <test_depend>ament_cmake_cpplint</test_depend>
diff --git a/control/autoware_shift_decider/src/autoware_shift_decider.cpp b/control/autoware_shift_decider/src/autoware_shift_decider.cpp
index 91345376c2681..846eaabee4b88 100644
--- a/control/autoware_shift_decider/src/autoware_shift_decider.cpp
+++ b/control/autoware_shift_decider/src/autoware_shift_decider.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_shift_decider/autoware_shift_decider.hpp"
+#include "autoware/shift_decider/autoware_shift_decider.hpp"
 
 #include <rclcpp/timer.hpp>
 
diff --git a/control/autoware_smart_mpc_trajectory_follower/autoware_smart_mpc_trajectory_follower/scripts/drive_controller.py b/control/autoware_smart_mpc_trajectory_follower/autoware_smart_mpc_trajectory_follower/scripts/drive_controller.py
index 228b0c37c5e7b..3877f7177720b 100644
--- a/control/autoware_smart_mpc_trajectory_follower/autoware_smart_mpc_trajectory_follower/scripts/drive_controller.py
+++ b/control/autoware_smart_mpc_trajectory_follower/autoware_smart_mpc_trajectory_follower/scripts/drive_controller.py
@@ -560,12 +560,12 @@ def update_input_queue(
                     np.array(time_stamp), np.array(steer_history)
                 )
 
-                self.acc_input_queue[
-                    drive_functions.acc_ctrl_queue_size - acc_num :
-                ] = acc_interpolate(time_stamp_acc)
-                self.steer_input_queue[
-                    drive_functions.steer_ctrl_queue_size - steer_num :
-                ] = steer_interpolate(time_stamp_steer)
+                self.acc_input_queue[drive_functions.acc_ctrl_queue_size - acc_num :] = (
+                    acc_interpolate(time_stamp_acc)
+                )
+                self.steer_input_queue[drive_functions.steer_ctrl_queue_size - steer_num :] = (
+                    steer_interpolate(time_stamp_steer)
+                )
 
                 if (
                     acc_num == drive_functions.acc_ctrl_queue_size
diff --git a/control/autoware_smart_mpc_trajectory_follower/package.xml b/control/autoware_smart_mpc_trajectory_follower/package.xml
index a05f06cd865ff..01b9478aeeaee 100644
--- a/control/autoware_smart_mpc_trajectory_follower/package.xml
+++ b/control/autoware_smart_mpc_trajectory_follower/package.xml
@@ -21,15 +21,15 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>pybind11_vendor</depend>
   <depend>python3-scipy</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <exec_depend>ros2launch</exec_depend>
 
diff --git a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/input_data.hpp b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/input_data.hpp
similarity index 87%
rename from control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/input_data.hpp
rename to control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/input_data.hpp
index 679f6334b7187..25ff7c21c38c0 100644
--- a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/input_data.hpp
+++ b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/input_data.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
 
 #include "autoware_adapi_v1_msgs/msg/operation_mode_state.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -33,4 +33,4 @@ struct InputData
 };
 }  // namespace autoware::motion::control::trajectory_follower
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_BASE__INPUT_DATA_HPP_
diff --git a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/lateral_controller_base.hpp b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/lateral_controller_base.hpp
similarity index 78%
rename from control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/lateral_controller_base.hpp
rename to control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/lateral_controller_base.hpp
index f3501336928a3..891b3982ddf49 100644
--- a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/lateral_controller_base.hpp
+++ b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/lateral_controller_base.hpp
@@ -12,17 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
 
-#include "autoware_trajectory_follower_base/input_data.hpp"
-#include "autoware_trajectory_follower_base/sync_data.hpp"
+#include "autoware/trajectory_follower_base/input_data.hpp"
+#include "autoware/trajectory_follower_base/sync_data.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include "autoware_control_msgs/msg/lateral.hpp"
 
 #include <boost/optional.hpp>
-
 namespace autoware::motion::control::trajectory_follower
 {
 struct LateralOutput
@@ -44,4 +43,4 @@ class LateralControllerBase
 
 }  // namespace autoware::motion::control::trajectory_follower
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LATERAL_CONTROLLER_BASE_HPP_
diff --git a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/longitudinal_controller_base.hpp b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/longitudinal_controller_base.hpp
similarity index 79%
rename from control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/longitudinal_controller_base.hpp
rename to control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/longitudinal_controller_base.hpp
index b0f715692d079..176141572d6a8 100644
--- a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/longitudinal_controller_base.hpp
+++ b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/longitudinal_controller_base.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
 
-#include "autoware_trajectory_follower_base/input_data.hpp"
-#include "autoware_trajectory_follower_base/sync_data.hpp"
+#include "autoware/trajectory_follower_base/input_data.hpp"
+#include "autoware/trajectory_follower_base/sync_data.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include "autoware_control_msgs/msg/longitudinal.hpp"
@@ -46,4 +46,4 @@ class LongitudinalControllerBase
 
 }  // namespace autoware::motion::control::trajectory_follower
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_BASE__LONGITUDINAL_CONTROLLER_BASE_HPP_
diff --git a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/sync_data.hpp b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/sync_data.hpp
similarity index 83%
rename from control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/sync_data.hpp
rename to control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/sync_data.hpp
index 6034719241430..494423c7f01ac 100644
--- a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/sync_data.hpp
+++ b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/sync_data.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
 
 namespace autoware::motion::control::trajectory_follower
 {
@@ -30,4 +30,4 @@ struct LongitudinalSyncData
 
 }  // namespace autoware::motion::control::trajectory_follower
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_BASE__SYNC_DATA_HPP_
diff --git a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/visibility_control.hpp b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/visibility_control.hpp
similarity index 88%
rename from control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/visibility_control.hpp
rename to control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/visibility_control.hpp
index 1a50424ebec43..7eb71d6d0d9aa 100644
--- a/control/autoware_trajectory_follower_base/include/autoware_trajectory_follower_base/visibility_control.hpp
+++ b/control/autoware_trajectory_follower_base/include/autoware/trajectory_follower_base/visibility_control.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
 
 ////////////////////////////////////////////////////////////////////////////////
 #if defined(__WIN32)
@@ -34,4 +34,4 @@
 #error "Unsupported Build Configuration"
 #endif
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_BASE__VISIBILITY_CONTROL_HPP_
diff --git a/control/autoware_trajectory_follower_base/package.xml b/control/autoware_trajectory_follower_base/package.xml
index 283ab791c1ef9..fa8f5847d6c31 100644
--- a/control/autoware_trajectory_follower_base/package.xml
+++ b/control/autoware_trajectory_follower_base/package.xml
@@ -21,7 +21,9 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_msgs</depend>
@@ -29,14 +31,12 @@
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/control/autoware_trajectory_follower_base/src/lateral_controller_base.cpp b/control/autoware_trajectory_follower_base/src/lateral_controller_base.cpp
index ce5c521089328..f5839fb4bc944 100644
--- a/control/autoware_trajectory_follower_base/src/lateral_controller_base.cpp
+++ b/control/autoware_trajectory_follower_base/src/lateral_controller_base.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_trajectory_follower_base/lateral_controller_base.hpp"
+#include "autoware/trajectory_follower_base/lateral_controller_base.hpp"
 
 namespace autoware::motion::control::trajectory_follower
 {
diff --git a/control/autoware_trajectory_follower_base/src/longitudinal_controller_base.cpp b/control/autoware_trajectory_follower_base/src/longitudinal_controller_base.cpp
index 8fac86b3883a1..a8303fc82235e 100644
--- a/control/autoware_trajectory_follower_base/src/longitudinal_controller_base.cpp
+++ b/control/autoware_trajectory_follower_base/src/longitudinal_controller_base.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_trajectory_follower_base/longitudinal_controller_base.hpp"
+#include "autoware/trajectory_follower_base/longitudinal_controller_base.hpp"
 
 namespace autoware::motion::control::trajectory_follower
 {
diff --git a/control/autoware_trajectory_follower_node/CMakeLists.txt b/control/autoware_trajectory_follower_node/CMakeLists.txt
index cca8267d4d3be..945d3224d76e5 100644
--- a/control/autoware_trajectory_follower_node/CMakeLists.txt
+++ b/control/autoware_trajectory_follower_node/CMakeLists.txt
@@ -6,7 +6,7 @@ autoware_package()
 
 set(CONTROLLER_NODE controller_node)
 ament_auto_add_library(${CONTROLLER_NODE} SHARED
-  include/autoware_trajectory_follower_node/controller_node.hpp
+  include/autoware/trajectory_follower_node/controller_node.hpp
   src/controller_node.cpp
 )
 
@@ -18,7 +18,7 @@ rclcpp_components_register_node(${CONTROLLER_NODE}
 # simple trajectory follower
 set(SIMPLE_TRAJECTORY_FOLLOWER_NODE simple_trajectory_follower)
 ament_auto_add_library(${SIMPLE_TRAJECTORY_FOLLOWER_NODE} SHARED
-  include/autoware_trajectory_follower_node/simple_trajectory_follower.hpp
+  include/autoware/trajectory_follower_node/simple_trajectory_follower.hpp
   src/simple_trajectory_follower.cpp
 )
 
diff --git a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/controller_node.hpp b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/controller_node.hpp
similarity index 74%
rename from control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/controller_node.hpp
rename to control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/controller_node.hpp
index cd6ddf427d005..a5f8665328f34 100644
--- a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/controller_node.hpp
+++ b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/controller_node.hpp
@@ -12,24 +12,25 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
-
-#include "autoware_trajectory_follower_base/lateral_controller_base.hpp"
-#include "autoware_trajectory_follower_base/longitudinal_controller_base.hpp"
-#include "autoware_trajectory_follower_node/visibility_control.hpp"
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
+
+#include "autoware/trajectory_follower_base/lateral_controller_base.hpp"
+#include "autoware/trajectory_follower_base/longitudinal_controller_base.hpp"
+#include "autoware/trajectory_follower_node/visibility_control.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
 #include "tf2_ros/buffer.h"
 #include "tf2_ros/transform_listener.h"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/Geometry>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <diagnostic_updater/diagnostic_updater.hpp>
 
 #include "autoware_control_msgs/msg/control.hpp"
 #include "autoware_control_msgs/msg/longitudinal.hpp"
@@ -54,8 +55,8 @@ using trajectory_follower::LongitudinalOutput;
 namespace trajectory_follower_node
 {
 
+using autoware::universe_utils::StopWatch;
 using autoware_adapi_v1_msgs::msg::OperationModeState;
-using tier4_autoware_utils::StopWatch;
 using tier4_debug_msgs::msg::Float64Stamped;
 
 namespace trajectory_follower = ::autoware::motion::control::trajectory_follower;
@@ -73,24 +74,29 @@ class TRAJECTORY_FOLLOWER_PUBLIC Controller : public rclcpp::Node
   double timeout_thr_sec_;
   boost::optional<LongitudinalOutput> longitudinal_output_{boost::none};
 
+  std::shared_ptr<diagnostic_updater::Updater> diag_updater_ =
+    std::make_shared<diagnostic_updater::Updater>(
+      this);  // Diagnostic updater for publishing diagnostic data.
+
   std::shared_ptr<trajectory_follower::LongitudinalControllerBase> longitudinal_controller_;
   std::shared_ptr<trajectory_follower::LateralControllerBase> lateral_controller_;
 
   // Subscribers
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::Trajectory>
+  autoware::universe_utils::InterProcessPollingSubscriber<autoware_planning_msgs::msg::Trajectory>
     sub_ref_path_{this, "~/input/reference_trajectory"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odometry_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odometry_{
     this, "~/input/current_odometry"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_vehicle_msgs::msg::SteeringReport>
+  autoware::universe_utils::InterProcessPollingSubscriber<
+    autoware_vehicle_msgs::msg::SteeringReport>
     sub_steering_{this, "~/input/current_steering"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     geometry_msgs::msg::AccelWithCovarianceStamped>
     sub_accel_{this, "~/input/current_accel"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<OperationModeState> sub_operation_mode_{
+  autoware::universe_utils::InterProcessPollingSubscriber<OperationModeState> sub_operation_mode_{
     this, "~/input/current_operation_mode"};
 
   // Publishers
@@ -129,9 +135,9 @@ class TRAJECTORY_FOLLOWER_PUBLIC Controller : public rclcpp::Node
     const trajectory_follower::InputData & input_data,
     const trajectory_follower::LateralOutput & lat_out) const;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   void publishProcessingTime(
     const double t_ms, const rclcpp::Publisher<Float64Stamped>::SharedPtr pub);
@@ -142,4 +148,4 @@ class TRAJECTORY_FOLLOWER_PUBLIC Controller : public rclcpp::Node
 }  // namespace trajectory_follower_node
 }  // namespace autoware::motion::control
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_NODE__CONTROLLER_NODE_HPP_
diff --git a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/simple_trajectory_follower.hpp b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/simple_trajectory_follower.hpp
similarity index 80%
rename from control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/simple_trajectory_follower.hpp
rename to control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/simple_trajectory_follower.hpp
index 094f6fb74f2ad..c23128ebfb695 100644
--- a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/simple_trajectory_follower.hpp
+++ b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/simple_trajectory_follower.hpp
@@ -12,10 +12,10 @@
 //  See the License for the specific language governing permissions and
 //  limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
 
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -44,9 +44,9 @@ class SimpleTrajectoryFollower : public rclcpp::Node
   ~SimpleTrajectoryFollower() = default;
 
 private:
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
     this, "~/input/kinematics"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Trajectory> sub_trajectory_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> sub_trajectory_{
     this, "~/input/trajectory"};
   rclcpp::Publisher<Control>::SharedPtr pub_cmd_;
   rclcpp::TimerBase::SharedPtr timer_;
@@ -67,4 +67,4 @@ class SimpleTrajectoryFollower : public rclcpp::Node
 
 }  // namespace simple_trajectory_follower
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_NODE__SIMPLE_TRAJECTORY_FOLLOWER_HPP_
diff --git a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/visibility_control.hpp b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/visibility_control.hpp
similarity index 88%
rename from control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/visibility_control.hpp
rename to control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/visibility_control.hpp
index 8f25e1a815538..c38c2ab03629c 100644
--- a/control/autoware_trajectory_follower_node/include/autoware_trajectory_follower_node/visibility_control.hpp
+++ b/control/autoware_trajectory_follower_node/include/autoware/trajectory_follower_node/visibility_control.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
-#define AUTOWARE_TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
+#ifndef AUTOWARE__TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
+#define AUTOWARE__TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
 
 ////////////////////////////////////////////////////////////////////////////////
 #if defined(__WIN32)
@@ -34,4 +34,4 @@
 #error "Unsupported Build Configuration"
 #endif
 
-#endif  // AUTOWARE_TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
+#endif  // AUTOWARE__TRAJECTORY_FOLLOWER_NODE__VISIBILITY_CONTROL_HPP_
diff --git a/control/autoware_trajectory_follower_node/package.xml b/control/autoware_trajectory_follower_node/package.xml
index 0726b919d387e..55ac989ad4a58 100644
--- a/control/autoware_trajectory_follower_node/package.xml
+++ b/control/autoware_trajectory_follower_node/package.xml
@@ -21,17 +21,17 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_mpc_lateral_controller</depend>
   <depend>autoware_pid_longitudinal_controller</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_pure_pursuit</depend>
   <depend>autoware_trajectory_follower_base</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <exec_depend>ros2launch</exec_depend>
diff --git a/control/autoware_trajectory_follower_node/src/controller_node.cpp b/control/autoware_trajectory_follower_node/src/controller_node.cpp
index 09a8bd4e9506d..c1e5fe646cdaa 100644
--- a/control/autoware_trajectory_follower_node/src/controller_node.cpp
+++ b/control/autoware_trajectory_follower_node/src/controller_node.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_trajectory_follower_node/controller_node.hpp"
+#include "autoware/trajectory_follower_node/controller_node.hpp"
 
-#include "autoware_mpc_lateral_controller/mpc_lateral_controller.hpp"
-#include "autoware_pid_longitudinal_controller/pid_longitudinal_controller.hpp"
-#include "autoware_pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
+#include "autoware/mpc_lateral_controller/mpc_lateral_controller.hpp"
+#include "autoware/pid_longitudinal_controller/pid_longitudinal_controller.hpp"
+#include "autoware/pure_pursuit/autoware_pure_pursuit_lateral_controller.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -39,7 +39,8 @@ Controller::Controller(const rclcpp::NodeOptions & node_options) : Node("control
     getLateralControllerMode(declare_parameter<std::string>("lateral_controller_mode"));
   switch (lateral_controller_mode) {
     case LateralControllerMode::MPC: {
-      lateral_controller_ = std::make_shared<mpc_lateral_controller::MpcLateralController>(*this);
+      lateral_controller_ =
+        std::make_shared<mpc_lateral_controller::MpcLateralController>(*this, diag_updater_);
       break;
     }
     case LateralControllerMode::PURE_PURSUIT: {
@@ -80,9 +81,10 @@ Controller::Controller(const rclcpp::NodeOptions & node_options) : Node("control
       this, get_clock(), period_ns, std::bind(&Controller::callbackTimerControl, this));
   }
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 Controller::LateralControllerMode Controller::getLateralControllerMode(
@@ -222,10 +224,10 @@ void Controller::publishDebugMarker(
 
   // steer converged marker
   {
-    auto marker = tier4_autoware_utils::createDefaultMarker(
+    auto marker = autoware::universe_utils::createDefaultMarker(
       "map", this->now(), "steer_converged", 0, visualization_msgs::msg::Marker::TEXT_VIEW_FACING,
-      tier4_autoware_utils::createMarkerScale(0.0, 0.0, 1.0),
-      tier4_autoware_utils::createMarkerColor(1.0, 1.0, 1.0, 0.99));
+      autoware::universe_utils::createMarkerScale(0.0, 0.0, 1.0),
+      autoware::universe_utils::createMarkerColor(1.0, 1.0, 1.0, 0.99));
     marker.pose = input_data.current_odometry.pose.pose;
 
     std::stringstream ss;
diff --git a/control/autoware_trajectory_follower_node/src/simple_trajectory_follower.cpp b/control/autoware_trajectory_follower_node/src/simple_trajectory_follower.cpp
index e34c67b72d30f..95082e608d50f 100644
--- a/control/autoware_trajectory_follower_node/src/simple_trajectory_follower.cpp
+++ b/control/autoware_trajectory_follower_node/src/simple_trajectory_follower.cpp
@@ -12,19 +12,19 @@
 //  See the License for the specific language governing permissions and
 //  limitations under the License.
 
-#include "autoware_trajectory_follower_node/simple_trajectory_follower.hpp"
+#include "autoware/trajectory_follower_node/simple_trajectory_follower.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/pose_deviation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/pose_deviation.hpp>
 
 #include <algorithm>
 
 namespace simple_trajectory_follower
 {
 
-using motion_utils::findNearestIndex;
-using tier4_autoware_utils::calcLateralDeviation;
-using tier4_autoware_utils::calcYawDeviation;
+using autoware::motion_utils::findNearestIndex;
+using autoware::universe_utils::calcLateralDeviation;
+using autoware::universe_utils::calcYawDeviation;
 
 SimpleTrajectoryFollower::SimpleTrajectoryFollower(const rclcpp::NodeOptions & options)
 : Node("simple_trajectory_follower", options)
diff --git a/control/autoware_trajectory_follower_node/test/test_controller_node.cpp b/control/autoware_trajectory_follower_node/test/test_controller_node.cpp
index 0ef35b222d4a1..e0dc5ede906a9 100644
--- a/control/autoware_trajectory_follower_node/test/test_controller_node.cpp
+++ b/control/autoware_trajectory_follower_node/test/test_controller_node.cpp
@@ -13,7 +13,7 @@
 // limitations under the License.
 
 #include "ament_index_cpp/get_package_share_directory.hpp"
-#include "autoware_trajectory_follower_node/controller_node.hpp"
+#include "autoware/trajectory_follower_node/controller_node.hpp"
 #include "fake_test_node/fake_test_node.hpp"
 #include "gtest/gtest.h"
 #include "rclcpp/rclcpp.hpp"
diff --git a/control/autoware_vehicle_cmd_gate/package.xml b/control/autoware_vehicle_cmd_gate/package.xml
index f67d01a5593ae..60bbf23f9d5a8 100644
--- a/control/autoware_vehicle_cmd_gate/package.xml
+++ b/control/autoware_vehicle_cmd_gate/package.xml
@@ -17,18 +17,18 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>component_interface_specs</depend>
   <depend>component_interface_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_srvs</depend>
   <depend>tier4_api_utils</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_control_msgs</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_external_api_msgs</depend>
diff --git a/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.cpp b/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.cpp
index e8902c9dbf5b3..87e79f59bc356 100644
--- a/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.cpp
+++ b/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.cpp
@@ -14,8 +14,8 @@
 
 #include "vehicle_cmd_gate.hpp"
 
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "marker_helper.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
 #include <rclcpp/logging.hpp>
 #include <tier4_api_utils/tier4_api_utils.hpp>
@@ -87,6 +87,37 @@ VehicleCmdGate::VehicleCmdGate(const rclcpp::NodeOptions & node_options)
   external_emergency_stop_heartbeat_sub_ = create_subscription<Heartbeat>(
     "input/external_emergency_stop_heartbeat", 1,
     std::bind(&VehicleCmdGate::onExternalEmergencyStopHeartbeat, this, _1));
+  gate_mode_sub_ = create_subscription<GateMode>(
+    "input/gate_mode", 1, std::bind(&VehicleCmdGate::onGateMode, this, _1));
+  engage_sub_ = create_subscription<EngageMsg>(
+    "input/engage", 1, std::bind(&VehicleCmdGate::onEngage, this, _1));
+  kinematics_sub_ = create_subscription<Odometry>(
+    "/localization/kinematic_state", 1,
+    [this](Odometry::SharedPtr msg) { current_kinematics_ = *msg; });
+  acc_sub_ = create_subscription<AccelWithCovarianceStamped>(
+    "input/acceleration", 1, [this](AccelWithCovarianceStamped::SharedPtr msg) {
+      current_acceleration_ = msg->accel.accel.linear.x;
+    });
+  steer_sub_ = create_subscription<SteeringReport>(
+    "input/steering", 1,
+    [this](SteeringReport::SharedPtr msg) { current_steer_ = msg->steering_tire_angle; });
+  operation_mode_sub_ = create_subscription<OperationModeState>(
+    "input/operation_mode", rclcpp::QoS(1).transient_local(),
+    [this](const OperationModeState::SharedPtr msg) { current_operation_mode_ = *msg; });
+  mrm_state_sub_ = create_subscription<MrmState>(
+    "input/mrm_state", 1, std::bind(&VehicleCmdGate::onMrmState, this, _1));
+
+  // Subscriber for auto
+  auto_control_cmd_sub_ = create_subscription<Control>(
+    "input/auto/control_cmd", 1, std::bind(&VehicleCmdGate::onAutoCtrlCmd, this, _1));
+
+  // Subscriber for external
+  remote_control_cmd_sub_ = create_subscription<Control>(
+    "input/external/control_cmd", 1, std::bind(&VehicleCmdGate::onRemoteCtrlCmd, this, _1));
+
+  // Subscriber for emergency
+  emergency_control_cmd_sub_ = create_subscription<Control>(
+    "input/emergency/control_cmd", 1, std::bind(&VehicleCmdGate::onEmergencyCtrlCmd, this, _1));
 
   // Parameter
   use_emergency_handling_ = declare_parameter<bool>("use_emergency_handling");
@@ -179,9 +210,10 @@ VehicleCmdGate::VehicleCmdGate(const rclcpp::NodeOptions & node_options)
   timer_pub_status_ = rclcpp::create_timer(
     this, get_clock(), period_ns, std::bind(&VehicleCmdGate::publishStatus, this));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 
   // Parameter Callback
   set_param_res_ =
@@ -191,7 +223,7 @@ VehicleCmdGate::VehicleCmdGate(const rclcpp::NodeOptions & node_options)
 rcl_interfaces::msg::SetParametersResult VehicleCmdGate::onParameter(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
   // Parameter
   updateParam<bool>(parameters, "use_emergency_handling", use_emergency_handling_);
   updateParam<bool>(
@@ -291,10 +323,9 @@ bool VehicleCmdGate::isDataReady()
 }
 
 // for auto
-void VehicleCmdGate::onAutoCtrlCmd()
+void VehicleCmdGate::onAutoCtrlCmd(Control::ConstSharedPtr msg)
 {
-  const auto msg = auto_control_cmd_sub_.takeData();
-  if (msg) auto_commands_.control = *msg;
+  auto_commands_.control = *msg;
 
   if (current_gate_mode_.data == GateMode::AUTO) {
     publishControlCommands(auto_commands_);
@@ -302,10 +333,9 @@ void VehicleCmdGate::onAutoCtrlCmd()
 }
 
 // for remote
-void VehicleCmdGate::onRemoteCtrlCmd()
+void VehicleCmdGate::onRemoteCtrlCmd(Control::ConstSharedPtr msg)
 {
-  const auto msg = remote_control_cmd_sub_.takeData();
-  if (msg) remote_commands_.control = *msg;
+  remote_commands_.control = *msg;
 
   if (current_gate_mode_.data == GateMode::EXTERNAL) {
     publishControlCommands(remote_commands_);
@@ -313,10 +343,9 @@ void VehicleCmdGate::onRemoteCtrlCmd()
 }
 
 // for emergency
-void VehicleCmdGate::onEmergencyCtrlCmd()
+void VehicleCmdGate::onEmergencyCtrlCmd(Control::ConstSharedPtr msg)
 {
-  const auto msg = emergency_control_cmd_sub_.takeData();
-  if (msg) emergency_commands_.control = *msg;
+  emergency_commands_.control = *msg;
 
   if (use_emergency_handling_ && is_system_emergency_) {
     publishControlCommands(emergency_commands_);
@@ -325,25 +354,7 @@ void VehicleCmdGate::onEmergencyCtrlCmd()
 
 void VehicleCmdGate::onTimer()
 {
-  onGateMode();
-
-  const auto msg_kinematics = kinematics_sub_.takeData();
-  if (msg_kinematics) current_kinematics_ = *msg_kinematics;
-
-  const auto msg_acceleration = acc_sub_.takeData();
-  if (msg_acceleration) current_acceleration_ = msg_acceleration->accel.accel.linear.x;
-
-  const auto msg_steer = steer_sub_.takeData();
-  if (msg_steer) current_steer_ = msg_steer->steering_tire_angle;
-
-  const auto msg_operation_mode = operation_mode_sub_.takeData();
-  if (msg_operation_mode) current_operation_mode_ = *msg_operation_mode;
-
-  onMrmState();
-
   // Subscriber for auto
-  onAutoCtrlCmd();
-
   const auto msg_auto_command_turn_indicator = auto_turn_indicator_cmd_sub_.takeData();
   if (msg_auto_command_turn_indicator)
     auto_commands_.turn_indicator = *msg_auto_command_turn_indicator;
@@ -355,8 +366,6 @@ void VehicleCmdGate::onTimer()
   if (msg_auto_command_gear) auto_commands_.gear = *msg_auto_command_gear;
 
   // Subscribe for external
-  onRemoteCtrlCmd();
-
   const auto msg_remote_command_turn_indicator = remote_turn_indicator_cmd_sub_.takeData();
   if (msg_remote_command_turn_indicator)
     remote_commands_.turn_indicator = *msg_remote_command_turn_indicator;
@@ -369,8 +378,6 @@ void VehicleCmdGate::onTimer()
   if (msg_remote_command_gear) remote_commands_.gear = *msg_remote_command_gear;
 
   // Subscribe for emergency
-  onEmergencyCtrlCmd();
-
   const auto msg_emergency_command_hazard_light = emergency_hazard_light_cmd_sub_.takeData();
   if (msg_emergency_command_hazard_light)
     emergency_commands_.hazard_light = *msg_emergency_command_hazard_light;
@@ -378,8 +385,6 @@ void VehicleCmdGate::onTimer()
   const auto msg_emergency_command_gear = emergency_gear_cmd_sub_.takeData();
   if (msg_emergency_command_gear) emergency_commands_.gear = *msg_emergency_command_gear;
 
-  onEngage();
-
   updater_.force_update();
 
   if (!isDataReady()) {
@@ -705,12 +710,10 @@ void VehicleCmdGate::onExternalEmergencyStopHeartbeat(
   external_emergency_stop_heartbeat_received_time_ = std::make_shared<rclcpp::Time>(this->now());
 }
 
-void VehicleCmdGate::onGateMode()
+void VehicleCmdGate::onGateMode(GateMode::ConstSharedPtr msg)
 {
-  const auto msg = gate_mode_sub_.takeData();
-  if (!msg) return;
-
   const auto prev_gate_mode = current_gate_mode_;
+  current_gate_mode_ = *msg;
 
   if (current_gate_mode_.data != prev_gate_mode.data) {
     RCLCPP_INFO(
@@ -719,10 +722,9 @@ void VehicleCmdGate::onGateMode()
   }
 }
 
-void VehicleCmdGate::onEngage()
+void VehicleCmdGate::onEngage(EngageMsg::ConstSharedPtr msg)
 {
-  const auto msg = engage_sub_.takeData();
-  if (msg) is_engaged_ = msg->engage;
+  is_engaged_ = msg->engage;
 }
 
 void VehicleCmdGate::onEngageService(
@@ -732,11 +734,8 @@ void VehicleCmdGate::onEngageService(
   response->status = tier4_api_utils::response_success();
 }
 
-void VehicleCmdGate::onMrmState()
+void VehicleCmdGate::onMrmState(MrmState::ConstSharedPtr msg)
 {
-  const auto msg = mrm_state_sub_.takeData();
-  if (!msg) return;
-
   is_system_emergency_ =
     (msg->state == MrmState::MRM_OPERATING || msg->state == MrmState::MRM_SUCCEEDED ||
      msg->state == MrmState::MRM_FAILED) &&
@@ -829,7 +828,8 @@ void VehicleCmdGate::checkExternalEmergencyStop(diagnostic_updater::DiagnosticSt
   } else if (is_external_emergency_stop_) {
     status.level = DiagnosticStatus::ERROR;
     status.message =
-      "external_emergency_stop is required. Please call `clear_external_emergency_stop` service to "
+      "external_emergency_stop is required. Please call `clear_external_emergency_stop` service "
+      "to "
       "clear state.";
   } else {
     status.level = DiagnosticStatus::OK;
diff --git a/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.hpp b/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.hpp
index 5ca8db5497e59..42e28d633d16b 100644
--- a/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.hpp
+++ b/control/autoware_vehicle_cmd_gate/src/vehicle_cmd_gate.hpp
@@ -16,17 +16,17 @@
 #define VEHICLE_CMD_GATE_HPP_
 
 #include "adapi_pause_interface.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
 #include "moderate_stop_interface.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
 #include "vehicle_cmd_filter.hpp"
 
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <autoware_vehicle_cmd_gate/msg/is_filter_activated.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/mrm_state.hpp>
 #include <autoware_adapi_v1_msgs/msg/operation_mode_state.hpp>
@@ -81,7 +81,7 @@ using nav_msgs::msg::Odometry;
 using EngageMsg = autoware_vehicle_msgs::msg::Engage;
 using EngageSrv = tier4_external_api_msgs::srv::Engage;
 
-using motion_utils::VehicleStopChecker;
+using autoware::motion_utils::VehicleStopChecker;
 struct Commands
 {
   Control control;
@@ -119,22 +119,16 @@ class VehicleCmdGate : public rclcpp::Node
     const std::vector<rclcpp::Parameter> & parameters);
   // Subscription
   rclcpp::Subscription<Heartbeat>::SharedPtr external_emergency_stop_heartbeat_sub_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<GateMode> gate_mode_sub_{
-    this, "input/gate_mode"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<OperationModeState> operation_mode_sub_{
-    this, "input/operation_mode", rclcpp::QoS(1).transient_local()};
-  tier4_autoware_utils::InterProcessPollingSubscriber<MrmState> mrm_state_sub_{
-    this, "input/mrm_state"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> kinematics_sub_{
-    this, "/localization/kinematic_state"};  // for filter
-  tier4_autoware_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped> acc_sub_{
-    this, "input/acceleration"};  // for filter
-  tier4_autoware_utils::InterProcessPollingSubscriber<SteeringReport> steer_sub_{
-    this, "input/steering"};  // for filter
-
-  void onGateMode();
+  rclcpp::Subscription<GateMode>::SharedPtr gate_mode_sub_;
+  rclcpp::Subscription<OperationModeState>::SharedPtr operation_mode_sub_;
+  rclcpp::Subscription<MrmState>::SharedPtr mrm_state_sub_;
+  rclcpp::Subscription<Odometry>::SharedPtr kinematics_sub_;             // for filter
+  rclcpp::Subscription<AccelWithCovarianceStamped>::SharedPtr acc_sub_;  // for filter
+  rclcpp::Subscription<SteeringReport>::SharedPtr steer_sub_;            // for filter
+
+  void onGateMode(GateMode::ConstSharedPtr msg);
   void onExternalEmergencyStopHeartbeat(Heartbeat::ConstSharedPtr msg);
-  void onMrmState();
+  void onMrmState(MrmState::ConstSharedPtr msg);
 
   bool is_engaged_;
   bool is_system_emergency_ = false;
@@ -160,37 +154,34 @@ class VehicleCmdGate : public rclcpp::Node
 
   // Subscriber for auto
   Commands auto_commands_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Control> auto_control_cmd_sub_{
-    this, "input/auto/control_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<TurnIndicatorsCommand>
+  rclcpp::Subscription<Control>::SharedPtr auto_control_cmd_sub_;
+  autoware::universe_utils::InterProcessPollingSubscriber<TurnIndicatorsCommand>
     auto_turn_indicator_cmd_sub_{this, "input/auto/turn_indicators_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<HazardLightsCommand>
+  autoware::universe_utils::InterProcessPollingSubscriber<HazardLightsCommand>
     auto_hazard_light_cmd_sub_{this, "input/auto/hazard_lights_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<GearCommand> auto_gear_cmd_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<GearCommand> auto_gear_cmd_sub_{
     this, "input/auto/gear_cmd"};
-  void onAutoCtrlCmd();
+  void onAutoCtrlCmd(Control::ConstSharedPtr msg);
 
   // Subscription for external
   Commands remote_commands_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Control> remote_control_cmd_sub_{
-    this, "input/external/control_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<TurnIndicatorsCommand>
+  rclcpp::Subscription<Control>::SharedPtr remote_control_cmd_sub_;
+  autoware::universe_utils::InterProcessPollingSubscriber<TurnIndicatorsCommand>
     remote_turn_indicator_cmd_sub_{this, "input/external/turn_indicators_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<HazardLightsCommand>
+  autoware::universe_utils::InterProcessPollingSubscriber<HazardLightsCommand>
     remote_hazard_light_cmd_sub_{this, "input/external/hazard_lights_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<GearCommand> remote_gear_cmd_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<GearCommand> remote_gear_cmd_sub_{
     this, "input/external/gear_cmd"};
-  void onRemoteCtrlCmd();
+  void onRemoteCtrlCmd(Control::ConstSharedPtr msg);
 
   // Subscription for emergency
   Commands emergency_commands_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Control> emergency_control_cmd_sub_{
-    this, "input/emergency/control_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<HazardLightsCommand>
+  rclcpp::Subscription<Control>::SharedPtr emergency_control_cmd_sub_;
+  autoware::universe_utils::InterProcessPollingSubscriber<HazardLightsCommand>
     emergency_hazard_light_cmd_sub_{this, "input/emergency/hazard_lights_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<GearCommand> emergency_gear_cmd_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<GearCommand> emergency_gear_cmd_sub_{
     this, "input/emergency/gear_cmd"};
-  void onEmergencyCtrlCmd();
+  void onEmergencyCtrlCmd(Control::ConstSharedPtr msg);
 
   // Parameter
   bool use_emergency_handling_;
@@ -216,10 +207,10 @@ class VehicleCmdGate : public rclcpp::Node
     const SetEmergency::Response::SharedPtr response);
 
   // TODO(Takagi, Isamu): deprecated
-  tier4_autoware_utils::InterProcessPollingSubscriber<EngageMsg> engage_sub_{this, "input/engage"};
+  rclcpp::Subscription<EngageMsg>::SharedPtr engage_sub_;
   rclcpp::Service<Trigger>::SharedPtr srv_external_emergency_stop_;
   rclcpp::Service<Trigger>::SharedPtr srv_clear_external_emergency_stop_;
-  void onEngage();
+  void onEngage(EngageMsg::ConstSharedPtr msg);
   bool onSetExternalEmergencyStopService(
     const std::shared_ptr<rmw_request_id_t> req_header, const Trigger::Request::SharedPtr req,
     const Trigger::Response::SharedPtr res);
@@ -270,9 +261,9 @@ class VehicleCmdGate : public rclcpp::Node
   MarkerArray createMarkerArray(const IsFilterActivated & filter_activated);
   void publishMarkers(const IsFilterActivated & filter_activated);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 
 }  // namespace autoware::vehicle_cmd_gate
diff --git a/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_core.hpp b/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_core.hpp
index 6ecf453bf7ab3..db0afc134ff79 100644
--- a/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_core.hpp
+++ b/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_core.hpp
@@ -15,11 +15,11 @@
 #ifndef CONTROL_PERFORMANCE_ANALYSIS__CONTROL_PERFORMANCE_ANALYSIS_CORE_HPP_
 #define CONTROL_PERFORMANCE_ANALYSIS__CONTROL_PERFORMANCE_ANALYSIS_CORE_HPP_
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "control_performance_analysis/control_performance_analysis_utils.hpp"
 #include "control_performance_analysis/msg/driving_monitor_stamped.hpp"
 #include "control_performance_analysis/msg/error_stamped.hpp"
 #include "control_performance_analysis/msg/float_stamped.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include <Eigen/Core>
 #include <rclcpp/time.hpp>
diff --git a/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_node.hpp b/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_node.hpp
index 73d48db6400a5..b359eb16387db 100644
--- a/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_node.hpp
+++ b/control/control_performance_analysis/include/control_performance_analysis/control_performance_analysis_node.hpp
@@ -19,9 +19,9 @@
 #include "control_performance_analysis/msg/driving_monitor_stamped.hpp"
 #include "control_performance_analysis/msg/error_stamped.hpp"
 
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <signal_processing/lowpass_filter_1d.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
 
 #include <autoware_control_msgs/msg/control.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
diff --git a/control/control_performance_analysis/package.xml b/control/control_performance_analysis/package.xml
index b18fb8c98ccdc..878136d837678 100644
--- a/control/control_performance_analysis/package.xml
+++ b/control/control_performance_analysis/package.xml
@@ -25,12 +25,13 @@
   <build_depend>builtin_interfaces</build_depend>
 
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -40,7 +41,6 @@
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <exec_depend>builtin_interfaces</exec_depend>
   <exec_depend>global_parameter_loader</exec_depend>
diff --git a/control/control_performance_analysis/src/control_performance_analysis_core.cpp b/control/control_performance_analysis/src/control_performance_analysis_core.cpp
index 51c818205e047..5f72c8ea316bd 100644
--- a/control/control_performance_analysis/src/control_performance_analysis_core.cpp
+++ b/control/control_performance_analysis/src/control_performance_analysis_core.cpp
@@ -14,8 +14,8 @@
 
 #include "control_performance_analysis/control_performance_analysis_core.hpp"
 
-#include "motion_utils/trajectory/interpolation.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/interpolation.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -86,7 +86,7 @@ std::pair<bool, int32_t> ControlPerformanceAnalysisCore::findClosestPrevWayPoint
     return std::make_pair(false, std::numeric_limits<int32_t>::quiet_NaN());
   }
 
-  const auto closest_segment = motion_utils::findNearestSegmentIndex(
+  const auto closest_segment = autoware::motion_utils::findNearestSegmentIndex(
     current_trajectory_ptr_->points, *current_vec_pose_ptr_,
     p_.acceptable_max_distance_to_waypoint_, p_.acceptable_max_yaw_difference_rad_);
 
@@ -158,7 +158,7 @@ bool ControlPerformanceAnalysisCore::calculateErrorVars()
 
   // Compute the yaw angle error.
   const double heading_yaw_error =
-    tier4_autoware_utils::calcYawDeviation(pose_interp_wp, *current_vec_pose_ptr_);
+    autoware::universe_utils::calcYawDeviation(pose_interp_wp, *current_vec_pose_ptr_);
 
   // Set the values of ErrorMsgVars.
 
@@ -174,7 +174,7 @@ bool ControlPerformanceAnalysisCore::calculateErrorVars()
   const double Vx = odom_history_ptr_->at(odom_size - 2).twist.twist.linear.x;
 
   // Current acceleration calculation
-  const auto ds = tier4_autoware_utils::calcDistance2d(
+  const auto ds = autoware::universe_utils::calcDistance2d(
     odom_history_ptr_->at(odom_size - 1).pose.pose, odom_history_ptr_->at(odom_size - 2).pose.pose);
 
   const double vel_mean = (odom_history_ptr_->at(odom_size - 1).twist.twist.linear.x +
@@ -371,7 +371,8 @@ std::optional<int32_t> ControlPerformanceAnalysisCore::findCurveRefIdx()
   }
 
   auto fun_distance_cond = [this](auto point_t) {
-    const double dist = tier4_autoware_utils::calcDistance2d(point_t.pose, *interpolated_pose_ptr_);
+    const double dist =
+      autoware::universe_utils::calcDistance2d(point_t.pose, *interpolated_pose_ptr_);
     return dist > p_.wheelbase_;
   };
 
@@ -390,7 +391,7 @@ std::optional<int32_t> ControlPerformanceAnalysisCore::findCurveRefIdx()
 std::pair<bool, Pose> ControlPerformanceAnalysisCore::calculateClosestPose()
 {
   const auto interp_point =
-    motion_utils::calcInterpolatedPoint(*current_trajectory_ptr_, *current_vec_pose_ptr_);
+    autoware::motion_utils::calcInterpolatedPoint(*current_trajectory_ptr_, *current_vec_pose_ptr_);
 
   const double interp_steering_angle = std::atan(p_.wheelbase_ * estimateCurvature());
 
@@ -442,7 +443,7 @@ double ControlPerformanceAnalysisCore::estimateCurvature()
 
   // Compute arc-length ds between 2 points.
   const double ds_arc_length =
-    tier4_autoware_utils::calcDistance2d(front_axleWP_pose_prev, front_axleWP_pose);
+    autoware::universe_utils::calcDistance2d(front_axleWP_pose_prev, front_axleWP_pose);
 
   // Define waypoints 10 meters behind the rear axle if exist.
   // If not exist, we will take the first point of the
@@ -461,7 +462,7 @@ double ControlPerformanceAnalysisCore::estimateCurvature()
   // We compute a curvature estimate from these points.
   double estimated_curvature = 0.0;
   try {
-    estimated_curvature = tier4_autoware_utils::calcCurvature(
+    estimated_curvature = autoware::universe_utils::calcCurvature(
       points.at(loc_of_back_idx).pose.position, points.at(idx_curve_ref_wp).pose.position,
       points.at(loc_of_forward_idx).pose.position);
   } catch (...) {
@@ -486,7 +487,7 @@ double ControlPerformanceAnalysisCore::estimatePurePursuitCurvature()
   const double look_ahead_distance_pp = std::max(p_.wheelbase_, 2 * Vx);
 
   auto fun_distance_cond = [this, &look_ahead_distance_pp](auto point_t) {
-    const double dist = tier4_autoware_utils::calcDistance2d(point_t, *interpolated_pose_ptr_);
+    const double dist = autoware::universe_utils::calcDistance2d(point_t, *interpolated_pose_ptr_);
     return dist > look_ahead_distance_pp;
   };
 
diff --git a/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker.hpp b/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker.hpp
index efaefd765e793..8cce8b88a0e7f 100644
--- a/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker.hpp
+++ b/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker.hpp
@@ -15,8 +15,8 @@
 #ifndef OBSTACLE_COLLISION_CHECKER__OBSTACLE_COLLISION_CHECKER_HPP_
 #define OBSTACLE_COLLISION_CHECKER__OBSTACLE_COLLISION_CHECKER_HPP_
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory.hpp>
 #include <geometry_msgs/msg/pose_stamped.hpp>
@@ -35,7 +35,7 @@
 
 namespace obstacle_collision_checker
 {
-using tier4_autoware_utils::LinearRing2d;
+using autoware::universe_utils::LinearRing2d;
 
 struct Param
 {
diff --git a/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker_node.hpp b/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker_node.hpp
index 9d79a0facac95..b08ecccd57282 100644
--- a/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker_node.hpp
+++ b/control/obstacle_collision_checker/include/obstacle_collision_checker/obstacle_collision_checker_node.hpp
@@ -17,13 +17,13 @@
 
 #include "obstacle_collision_checker/obstacle_collision_checker.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/processing_time_publisher.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/processing_time_publisher.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory.hpp>
 #include <geometry_msgs/msg/pose_stamped.hpp>
@@ -48,8 +48,8 @@ class ObstacleCollisionCheckerNode : public rclcpp::Node
 
 private:
   // Subscriber
-  std::shared_ptr<tier4_autoware_utils::SelfPoseListener> self_pose_listener_;
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::SelfPoseListener> self_pose_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
   rclcpp::Subscription<sensor_msgs::msg::PointCloud2>::SharedPtr sub_obstacle_pointcloud_;
   rclcpp::Subscription<autoware_planning_msgs::msg::Trajectory>::SharedPtr
     sub_reference_trajectory_;
@@ -72,8 +72,8 @@ class ObstacleCollisionCheckerNode : public rclcpp::Node
   void onOdom(const nav_msgs::msg::Odometry::SharedPtr msg);
 
   // Publisher
-  std::shared_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
-  std::shared_ptr<tier4_autoware_utils::ProcessingTimePublisher> time_publisher_;
+  std::shared_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
+  std::shared_ptr<autoware::universe_utils::ProcessingTimePublisher> time_publisher_;
 
   // Timer
   rclcpp::TimerBase::SharedPtr timer_;
diff --git a/control/obstacle_collision_checker/package.xml b/control/obstacle_collision_checker/package.xml
index 795302abe75f4..45b142fe601fe 100644
--- a/control/obstacle_collision_checker/package.xml
+++ b/control/obstacle_collision_checker/package.xml
@@ -19,6 +19,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>boost</depend>
   <depend>diagnostic_updater</depend>
@@ -33,7 +34,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker.cpp b/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker.cpp
index a844fe6a50cbf..9fb3657b957c7 100644
--- a/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker.cpp
+++ b/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker.cpp
@@ -14,12 +14,12 @@
 
 #include "obstacle_collision_checker/obstacle_collision_checker.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <pcl_ros/transforms.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -90,7 +90,7 @@ ObstacleCollisionChecker::ObstacleCollisionChecker(rclcpp::Node & node)
 Output ObstacleCollisionChecker::update(const Input & input)
 {
   Output output;
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
 
   // resample trajectory by braking distance
   constexpr double min_velocity = 0.01;
@@ -131,8 +131,9 @@ autoware_planning_msgs::msg::Trajectory ObstacleCollisionChecker::resampleTrajec
   for (size_t i = 1; i < trajectory.points.size() - 1; ++i) {
     const auto & point = trajectory.points.at(i);
 
-    const auto p1 = tier4_autoware_utils::fromMsg(resampled.points.back().pose.position).to_2d();
-    const auto p2 = tier4_autoware_utils::fromMsg(point.pose.position).to_2d();
+    const auto p1 =
+      autoware::universe_utils::fromMsg(resampled.points.back().pose.position).to_2d();
+    const auto p2 = autoware::universe_utils::fromMsg(point.pose.position).to_2d();
 
     if (boost::geometry::distance(p1, p2) > interval) {
       resampled.points.push_back(point);
@@ -154,8 +155,8 @@ autoware_planning_msgs::msg::Trajectory ObstacleCollisionChecker::cutTrajectory(
   for (size_t i = 1; i < trajectory.points.size(); ++i) {
     const auto & point = trajectory.points.at(i);
 
-    const auto p1 = tier4_autoware_utils::fromMsg(cut.points.back().pose.position);
-    const auto p2 = tier4_autoware_utils::fromMsg(point.pose.position);
+    const auto p1 = autoware::universe_utils::fromMsg(cut.points.back().pose.position);
+    const auto p2 = autoware::universe_utils::fromMsg(point.pose.position);
     const auto points_distance = boost::geometry::distance(p1.to_2d(), p2.to_2d());
 
     const auto remain_distance = length - total_length;
@@ -197,8 +198,8 @@ std::vector<LinearRing2d> ObstacleCollisionChecker::createVehicleFootprints(
   std::vector<LinearRing2d> vehicle_footprints;
   for (const auto & p : trajectory.points) {
     vehicle_footprints.push_back(
-      tier4_autoware_utils::transformVector<tier4_autoware_utils::LinearRing2d>(
-        local_vehicle_footprint, tier4_autoware_utils::pose2transform(p.pose)));
+      autoware::universe_utils::transformVector<autoware::universe_utils::LinearRing2d>(
+        local_vehicle_footprint, autoware::universe_utils::pose2transform(p.pose)));
   }
 
   return vehicle_footprints;
@@ -221,7 +222,7 @@ std::vector<LinearRing2d> ObstacleCollisionChecker::createVehiclePassingAreas(
 LinearRing2d ObstacleCollisionChecker::createHullFromFootprints(
   const LinearRing2d & area1, const LinearRing2d & area2)
 {
-  tier4_autoware_utils::MultiPoint2d combined;
+  autoware::universe_utils::MultiPoint2d combined;
   for (const auto & p : area1) {
     combined.push_back(p);
   }
@@ -256,7 +257,7 @@ bool ObstacleCollisionChecker::hasCollision(
 {
   for (const auto & point : obstacle_pointcloud.points) {
     if (boost::geometry::within(
-          tier4_autoware_utils::Point2d{point.x, point.y}, vehicle_footprint)) {
+          autoware::universe_utils::Point2d{point.x, point.y}, vehicle_footprint)) {
       RCLCPP_WARN(
         rclcpp::get_logger("obstacle_collision_checker"),
         "[ObstacleCollisionChecker] Collide to Point x: %f y: %f", point.x, point.y);
diff --git a/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker_node.cpp b/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker_node.cpp
index 402123c81d361..9af5fe24b17ea 100644
--- a/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker_node.cpp
+++ b/control/obstacle_collision_checker/src/obstacle_collision_checker_node/obstacle_collision_checker_node.cpp
@@ -14,10 +14,10 @@
 
 #include "obstacle_collision_checker/obstacle_collision_checker_node.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <memory>
 #include <string>
@@ -70,8 +70,8 @@ ObstacleCollisionCheckerNode::ObstacleCollisionCheckerNode(const rclcpp::NodeOpt
   obstacle_collision_checker_->setParam(param_);
 
   // Subscriber
-  self_pose_listener_ = std::make_shared<tier4_autoware_utils::SelfPoseListener>(this);
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  self_pose_listener_ = std::make_shared<autoware::universe_utils::SelfPoseListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
 
   sub_obstacle_pointcloud_ = create_subscription<sensor_msgs::msg::PointCloud2>(
     "input/obstacle_pointcloud", rclcpp::SensorDataQoS(),
@@ -86,8 +86,9 @@ ObstacleCollisionCheckerNode::ObstacleCollisionCheckerNode(const rclcpp::NodeOpt
     "input/odometry", 1, std::bind(&ObstacleCollisionCheckerNode::onOdom, this, _1));
 
   // Publisher
-  debug_publisher_ = std::make_shared<tier4_autoware_utils::DebugPublisher>(this, "debug/marker");
-  time_publisher_ = std::make_shared<tier4_autoware_utils::ProcessingTimePublisher>(this);
+  debug_publisher_ =
+    std::make_shared<autoware::universe_utils::DebugPublisher>(this, "debug/marker");
+  time_publisher_ = std::make_shared<autoware::universe_utils::ProcessingTimePublisher>(this);
 
   // Diagnostic Updater
   updater_.setHardwareID("obstacle_collision_checker");
@@ -282,9 +283,9 @@ void ObstacleCollisionCheckerNode::checkLaneDeparture(
 
 visualization_msgs::msg::MarkerArray ObstacleCollisionCheckerNode::createMarkerArray() const
 {
-  using tier4_autoware_utils::createDefaultMarker;
-  using tier4_autoware_utils::createMarkerColor;
-  using tier4_autoware_utils::createMarkerScale;
+  using autoware::universe_utils::createDefaultMarker;
+  using autoware::universe_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerScale;
 
   visualization_msgs::msg::MarkerArray marker_array;
 
diff --git a/control/predicted_path_checker/include/predicted_path_checker/collision_checker.hpp b/control/predicted_path_checker/include/predicted_path_checker/collision_checker.hpp
index 2a7a552c1973d..e2c76bec24860 100644
--- a/control/predicted_path_checker/include/predicted_path_checker/collision_checker.hpp
+++ b/control/predicted_path_checker/include/predicted_path_checker/collision_checker.hpp
@@ -15,15 +15,15 @@
 #ifndef PREDICTED_PATH_CHECKER__COLLISION_CHECKER_HPP_
 #define PREDICTED_PATH_CHECKER__COLLISION_CHECKER_HPP_
 
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
-#include <motion_utils/trajectory/conversion.hpp>
-#include <motion_utils/trajectory/interpolation.hpp>
 #include <predicted_path_checker/debug_marker.hpp>
 #include <predicted_path_checker/utils.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <nav_msgs/msg/odometry.hpp>
@@ -45,12 +45,12 @@ namespace autoware::motion::control::predicted_path_checker
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::TransformStamped;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 using PointArray = std::vector<geometry_msgs::msg::Point>;
 
 namespace bg = boost::geometry;
diff --git a/control/predicted_path_checker/include/predicted_path_checker/debug_marker.hpp b/control/predicted_path_checker/include/predicted_path_checker/debug_marker.hpp
index 02ade624d630c..0f537d52cee06 100644
--- a/control/predicted_path_checker/include/predicted_path_checker/debug_marker.hpp
+++ b/control/predicted_path_checker/include/predicted_path_checker/debug_marker.hpp
@@ -31,9 +31,9 @@
 
 #define EIGEN_MPL2_ONLY
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <eigen3/Eigen/Core>
 #include <eigen3/Eigen/Geometry>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 namespace autoware::motion::control::predicted_path_checker
 {
@@ -52,12 +52,12 @@ class PredictedPathCheckerDebugNode
   ~PredictedPathCheckerDebugNode() {}
 
   bool pushPolygon(
-    const tier4_autoware_utils::Polygon2d & polygon, const double z, const PolygonType & type);
+    const autoware::universe_utils::Polygon2d & polygon, const double z, const PolygonType & type);
 
   bool pushPolygon(const std::vector<Eigen::Vector3d> & polygon, const PolygonType & type);
 
   bool pushPolyhedron(
-    const tier4_autoware_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
+    const autoware::universe_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
     const PolygonType & type);
 
   bool pushPolyhedron(const std::vector<Eigen::Vector3d> & polyhedron, const PolygonType & type);
diff --git a/control/predicted_path_checker/include/predicted_path_checker/predicted_path_checker_node.hpp b/control/predicted_path_checker/include/predicted_path_checker/predicted_path_checker_node.hpp
index 6c4832a0dac3e..b3afcded60438 100644
--- a/control/predicted_path_checker/include/predicted_path_checker/predicted_path_checker_node.hpp
+++ b/control/predicted_path_checker/include/predicted_path_checker/predicted_path_checker_node.hpp
@@ -15,17 +15,17 @@
 #ifndef PREDICTED_PATH_CHECKER__PREDICTED_PATH_CHECKER_NODE_HPP_
 #define PREDICTED_PATH_CHECKER__PREDICTED_PATH_CHECKER_NODE_HPP_
 
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <component_interface_specs/control.hpp>
 #include <component_interface_utils/rclcpp.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
-#include <motion_utils/trajectory/conversion.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <predicted_path_checker/collision_checker.hpp>
 #include <predicted_path_checker/utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -50,11 +50,11 @@ namespace autoware::motion::control::predicted_path_checker
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObjects;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::TransformStamped;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 
 struct NodeParam
 {
@@ -88,7 +88,7 @@ class PredictedPathCheckerNode : public rclcpp::Node
   rclcpp::CallbackGroup::SharedPtr group_cli_;
 
   // Subscriber
-  std::shared_ptr<tier4_autoware_utils::SelfPoseListener> self_pose_listener_;
+  std::shared_ptr<autoware::universe_utils::SelfPoseListener> self_pose_listener_;
   rclcpp::Subscription<PredictedObjects>::SharedPtr sub_dynamic_objects_;
   rclcpp::Subscription<autoware_planning_msgs::msg::Trajectory>::SharedPtr
     sub_reference_trajectory_;
diff --git a/control/predicted_path_checker/include/predicted_path_checker/utils.hpp b/control/predicted_path_checker/include/predicted_path_checker/utils.hpp
index d9299f09dfb6b..6f5c0e5cdb883 100644
--- a/control/predicted_path_checker/include/predicted_path_checker/utils.hpp
+++ b/control/predicted_path_checker/include/predicted_path_checker/utils.hpp
@@ -15,10 +15,10 @@
 #ifndef PREDICTED_PATH_CHECKER__UTILS_HPP_
 #define PREDICTED_PATH_CHECKER__UTILS_HPP_
 
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <interpolation/linear_interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -39,6 +39,8 @@
 namespace utils
 {
 
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
@@ -47,8 +49,6 @@ using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::TransformStamped;
 using std_msgs::msg::Header;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 using PointArray = std::vector<geometry_msgs::msg::Point>;
 
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
diff --git a/control/predicted_path_checker/package.xml b/control/predicted_path_checker/package.xml
index 911344c578414..153d11107a8cb 100644
--- a/control/predicted_path_checker/package.xml
+++ b/control/predicted_path_checker/package.xml
@@ -12,8 +12,10 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>boost</depend>
   <depend>component_interface_specs</depend>
@@ -21,7 +23,6 @@
   <depend>diagnostic_updater</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -31,7 +32,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_control_msgs</depend>
   <depend>tier4_external_api_msgs</depend>
   <depend>tier4_planning_msgs</depend>
diff --git a/control/predicted_path_checker/src/predicted_path_checker_node/collision_checker.cpp b/control/predicted_path_checker/src/predicted_path_checker_node/collision_checker.cpp
index 7d392571546b4..7771f59d15454 100644
--- a/control/predicted_path_checker/src/predicted_path_checker_node/collision_checker.cpp
+++ b/control/predicted_path_checker/src/predicted_path_checker_node/collision_checker.cpp
@@ -14,8 +14,8 @@
 
 #include "predicted_path_checker/collision_checker.hpp"
 
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <rclcpp/logging.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <memory>
 #include <utility>
@@ -80,12 +80,12 @@ CollisionChecker::checkTrajectoryForCollision(
       double distance_to_current = std::numeric_limits<double>::max();
       double distance_to_history = std::numeric_limits<double>::max();
       if (found_collision_at_dynamic_objects) {
-        distance_to_current = tier4_autoware_utils::calcDistance2d(
+        distance_to_current = autoware::universe_utils::calcDistance2d(
           p_front, found_collision_at_dynamic_objects.get().first);
       }
       if (found_collision_at_history) {
         distance_to_history =
-          tier4_autoware_utils::calcDistance2d(p_front, found_collision_at_history.get().first);
+          autoware::universe_utils::calcDistance2d(p_front, found_collision_at_history.get().first);
       } else {
         predicted_object_history_.clear();
       }
@@ -140,7 +140,7 @@ CollisionChecker::checkObstacleHistory(
     bool is_init = false;
     std::pair<geometry_msgs::msg::Point, PredictedObject> nearest_collision_object_with_point;
     for (const auto & p : collision_points_in_history) {
-      double norm = tier4_autoware_utils::calcDistance2d(p.first, base_pose);
+      double norm = autoware::universe_utils::calcDistance2d(p.first, base_pose);
       if (norm < min_norm || !is_init) {
         min_norm = norm;
         nearest_collision_object_with_point = p;
diff --git a/control/predicted_path_checker/src/predicted_path_checker_node/debug_marker.cpp b/control/predicted_path_checker/src/predicted_path_checker_node/debug_marker.cpp
index 3fb7b69d531c0..3fae5e38e7ede 100644
--- a/control/predicted_path_checker/src/predicted_path_checker_node/debug_marker.cpp
+++ b/control/predicted_path_checker/src/predicted_path_checker_node/debug_marker.cpp
@@ -14,29 +14,29 @@
 
 #include "predicted_path_checker/debug_marker.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
 #else
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <memory>
 #include <vector>
 
-using motion_utils::createDeletedStopVirtualWallMarker;
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::createDeletedStopVirtualWallMarker;
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 
 namespace autoware::motion::control::predicted_path_checker
 {
@@ -51,7 +51,7 @@ PredictedPathCheckerDebugNode::PredictedPathCheckerDebugNode(
 }
 
 bool PredictedPathCheckerDebugNode::pushPolygon(
-  const tier4_autoware_utils::Polygon2d & polygon, const double z, const PolygonType & type)
+  const autoware::universe_utils::Polygon2d & polygon, const double z, const PolygonType & type)
 {
   std::vector<Eigen::Vector3d> eigen_polygon;
   for (const auto & point : polygon.outer()) {
@@ -82,7 +82,7 @@ bool PredictedPathCheckerDebugNode::pushPolygon(
 }
 
 bool PredictedPathCheckerDebugNode::pushPolyhedron(
-  const tier4_autoware_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
+  const autoware::universe_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
   const PolygonType & type)
 {
   std::vector<Eigen::Vector3d> eigen_polyhedron;
diff --git a/control/predicted_path_checker/src/predicted_path_checker_node/predicted_path_checker_node.cpp b/control/predicted_path_checker/src/predicted_path_checker_node/predicted_path_checker_node.cpp
index 38717a1849ad9..d8cf5c34bf535 100644
--- a/control/predicted_path_checker/src/predicted_path_checker_node/predicted_path_checker_node.cpp
+++ b/control/predicted_path_checker/src/predicted_path_checker_node/predicted_path_checker_node.cpp
@@ -14,11 +14,11 @@
 
 #include "predicted_path_checker/predicted_path_checker_node.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <tf2_eigen/tf2_eigen.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -67,7 +67,7 @@ PredictedPathCheckerNode::PredictedPathCheckerNode(const rclcpp::NodeOptions & n
     declare_parameter("collision_checker_params.chattering_threshold", 0.2);
 
   // Subscriber
-  self_pose_listener_ = std::make_shared<tier4_autoware_utils::SelfPoseListener>(this);
+  self_pose_listener_ = std::make_shared<autoware::universe_utils::SelfPoseListener>(this);
 
   sub_dynamic_objects_ = create_subscription<PredictedObjects>(
     "~/input/objects", rclcpp::SensorDataQoS(),
@@ -241,8 +241,9 @@ void PredictedPathCheckerNode::onTimer()
 
   // Convert to trajectory array
 
-  TrajectoryPoints predicted_trajectory_array = motion_utils::convertToTrajectoryPointArray(
-    motion_utils::resampleTrajectory(cut_trajectory, node_param_.resample_interval));
+  TrajectoryPoints predicted_trajectory_array =
+    autoware::motion_utils::convertToTrajectoryPointArray(
+      autoware::motion_utils::resampleTrajectory(cut_trajectory, node_param_.resample_interval));
 
   // Filter the objects
 
@@ -322,7 +323,7 @@ void PredictedPathCheckerNode::onTimer()
   // trajectory or not
 
   const auto reference_trajectory_array =
-    motion_utils::convertToTrajectoryPointArray(*reference_trajectory_);
+    autoware::motion_utils::convertToTrajectoryPointArray(*reference_trajectory_);
 
   const auto is_discrete_point =
     isItDiscretePoint(reference_trajectory_array, predicted_trajectory_array.at(stop_idx));
@@ -366,10 +367,11 @@ TrajectoryPoints PredictedPathCheckerNode::trimTrajectoryFromSelfPose(
 {
   TrajectoryPoints output{};
 
-  const size_t min_distance_index = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-                                      input, self_pose, node_param_.ego_nearest_dist_threshold,
-                                      node_param_.ego_nearest_yaw_threshold) +
-                                    1;
+  const size_t min_distance_index =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      input, self_pose, node_param_.ego_nearest_dist_threshold,
+      node_param_.ego_nearest_yaw_threshold) +
+    1;
 
   for (size_t i = min_distance_index; i < input.size(); ++i) {
     output.push_back(input.at(i));
@@ -385,9 +387,9 @@ bool PredictedPathCheckerNode::isThereStopPointOnReferenceTrajectory(
     trimTrajectoryFromSelfPose(reference_trajectory_array, current_pose_.get()->pose);
 
   const auto nearest_stop_point_on_ref_trajectory =
-    motion_utils::findNearestIndex(trimmed_reference_trajectory_array, pose);
+    autoware::motion_utils::findNearestIndex(trimmed_reference_trajectory_array, pose);
 
-  const auto stop_point_on_trajectory = motion_utils::searchZeroVelocityIndex(
+  const auto stop_point_on_trajectory = autoware::motion_utils::searchZeroVelocityIndex(
     trimmed_reference_trajectory_array, 0, *nearest_stop_point_on_ref_trajectory);
 
   return !!stop_point_on_trajectory;
@@ -425,18 +427,18 @@ bool PredictedPathCheckerNode::isItDiscretePoint(
   const TrajectoryPoints & reference_trajectory, const TrajectoryPoint & collision_point) const
 {
   const auto nearest_segment =
-    motion_utils::findNearestSegmentIndex(reference_trajectory, collision_point.pose);
+    autoware::motion_utils::findNearestSegmentIndex(reference_trajectory, collision_point.pose);
 
   const auto nearest_point = utils::calcInterpolatedPoint(
     reference_trajectory, collision_point.pose.position, *nearest_segment, false);
 
-  const auto distance = tier4_autoware_utils::calcDistance2d(
+  const auto distance = autoware::universe_utils::calcDistance2d(
     nearest_point.pose.position, collision_point.pose.position);
 
   const auto yaw_diff =
-    std::abs(tier4_autoware_utils::calcYawDeviation(nearest_point.pose, collision_point.pose));
+    std::abs(autoware::universe_utils::calcYawDeviation(nearest_point.pose, collision_point.pose));
   return distance >= node_param_.distinct_point_distance_threshold ||
-         yaw_diff >= tier4_autoware_utils::deg2rad(node_param_.distinct_point_yaw_threshold);
+         yaw_diff >= autoware::universe_utils::deg2rad(node_param_.distinct_point_yaw_threshold);
 }
 
 Trajectory PredictedPathCheckerNode::cutTrajectory(
@@ -452,8 +454,8 @@ Trajectory PredictedPathCheckerNode::cutTrajectory(
   for (size_t i = 1; i < trajectory.points.size(); ++i) {
     const auto & point = trajectory.points.at(i);
 
-    const auto p1 = tier4_autoware_utils::fromMsg(cut.points.back().pose.position);
-    const auto p2 = tier4_autoware_utils::fromMsg(point.pose.position);
+    const auto p1 = autoware::universe_utils::fromMsg(cut.points.back().pose.position);
+    const auto p2 = autoware::universe_utils::fromMsg(point.pose.position);
     const auto points_distance = boost::geometry::distance(p1.to_2d(), p2.to_2d());
 
     const auto remain_distance = length - total_length;
@@ -480,7 +482,7 @@ Trajectory PredictedPathCheckerNode::cutTrajectory(
     cut.points.push_back(point);
     total_length += points_distance;
   }
-  motion_utils::removeOverlapPoints(cut.points);
+  autoware::motion_utils::removeOverlapPoints(cut.points);
 
   return cut;
 }
@@ -499,7 +501,7 @@ size_t PredictedPathCheckerNode::insertStopPoint(
   TrajectoryPoints & trajectory, const geometry_msgs::msg::Point collision_point)
 {
   const auto nearest_collision_segment =
-    motion_utils::findNearestSegmentIndex(trajectory, collision_point);
+    autoware::motion_utils::findNearestSegmentIndex(trajectory, collision_point);
 
   const auto nearest_collision_point =
     utils::calcInterpolatedPoint(trajectory, collision_point, nearest_collision_segment, true);
@@ -526,7 +528,7 @@ std::pair<double, double> PredictedPathCheckerNode::calculateProjectedVelAndAcc(
   const auto velocity_obj = object.kinematics.initial_twist_with_covariance.twist.linear.x;
   const auto acceleration_obj =
     object.kinematics.initial_acceleration_with_covariance.accel.linear.x;
-  const auto k = std::cos(tier4_autoware_utils::normalizeRadian(
+  const auto k = std::cos(autoware::universe_utils::normalizeRadian(
     tf2::getYaw(orientation_obj) - tf2::getYaw(orientation_stop_point)));
   const auto projected_velocity = velocity_obj * k;
   const auto projected_acceleration = acceleration_obj * k;
@@ -553,10 +555,10 @@ void PredictedPathCheckerNode::filterObstacles(
 
     // Check is it near to trajectory
     const double max_length = utils::calcObstacleMaxLength(object.shape);
-    const size_t seg_idx = motion_utils::findNearestSegmentIndex(
+    const size_t seg_idx = autoware::motion_utils::findNearestSegmentIndex(
       traj, object.kinematics.initial_pose_with_covariance.pose.position);
-    const auto p_front = tier4_autoware_utils::getPoint(traj.at(seg_idx));
-    const auto p_back = tier4_autoware_utils::getPoint(traj.at(seg_idx + 1));
+    const auto p_front = autoware::universe_utils::getPoint(traj.at(seg_idx));
+    const auto p_back = autoware::universe_utils::getPoint(traj.at(seg_idx + 1));
     const auto & p_target = object.kinematics.initial_pose_with_covariance.pose.position;
     const Eigen::Vector3d segment_vec{p_back.x - p_front.x, p_back.y - p_front.y, 0.0};
     const Eigen::Vector3d target_vec{p_target.x - p_front.x, p_target.y - p_front.y, 0.0};
diff --git a/control/predicted_path_checker/src/predicted_path_checker_node/utils.cpp b/control/predicted_path_checker/src/predicted_path_checker_node/utils.cpp
index a9c3e2b24f9a5..d750f3aa07248 100644
--- a/control/predicted_path_checker/src/predicted_path_checker_node/utils.cpp
+++ b/control/predicted_path_checker/src/predicted_path_checker_node/utils.cpp
@@ -21,10 +21,10 @@
 namespace utils
 {
 
-using motion_utils::findFirstNearestIndexWithSoftConstraints;
-using motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::getRPY;
+using autoware::motion_utils::findFirstNearestIndexWithSoftConstraints;
+using autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::getRPY;
 
 // Utils Functions
 Polygon2d createOneStepPolygon(
@@ -38,40 +38,42 @@ Polygon2d createOneStepPolygon(
   const double rear_overhang = vehicle_info.rear_overhang_m;
 
   {  // base step
-    appendPointToPolygon(
-      polygon, tier4_autoware_utils::calcOffsetPose(base_step_pose, longitudinal_offset, width, 0.0)
-                 .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, longitudinal_offset, -width, 0.0)
+      autoware::universe_utils::calcOffsetPose(base_step_pose, longitudinal_offset, width, 0.0)
         .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, -rear_overhang, -width, 0.0).position);
+      autoware::universe_utils::calcOffsetPose(base_step_pose, longitudinal_offset, -width, 0.0)
+        .position);
     appendPointToPolygon(
-      polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, -rear_overhang, width, 0.0).position);
+      polygon, autoware::universe_utils::calcOffsetPose(base_step_pose, -rear_overhang, -width, 0.0)
+                 .position);
+    appendPointToPolygon(
+      polygon, autoware::universe_utils::calcOffsetPose(base_step_pose, -rear_overhang, width, 0.0)
+                 .position);
   }
 
   {  // next step
-    appendPointToPolygon(
-      polygon, tier4_autoware_utils::calcOffsetPose(next_step_pose, longitudinal_offset, width, 0.0)
-                 .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, longitudinal_offset, -width, 0.0)
+      autoware::universe_utils::calcOffsetPose(next_step_pose, longitudinal_offset, width, 0.0)
         .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, -rear_overhang, -width, 0.0).position);
+      autoware::universe_utils::calcOffsetPose(next_step_pose, longitudinal_offset, -width, 0.0)
+        .position);
     appendPointToPolygon(
-      polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, -rear_overhang, width, 0.0).position);
+      polygon, autoware::universe_utils::calcOffsetPose(next_step_pose, -rear_overhang, -width, 0.0)
+                 .position);
+    appendPointToPolygon(
+      polygon, autoware::universe_utils::calcOffsetPose(next_step_pose, -rear_overhang, width, 0.0)
+                 .position);
   }
 
-  polygon = tier4_autoware_utils::isClockwise(polygon)
+  polygon = autoware::universe_utils::isClockwise(polygon)
               ? polygon
-              : tier4_autoware_utils::inverseClockwise(polygon);
+              : autoware::universe_utils::inverseClockwise(polygon);
 
   Polygon2d hull_polygon;
   boost::geometry::convex_hull(polygon, hull_polygon);
@@ -95,8 +97,8 @@ TrajectoryPoint calcInterpolatedPoint(
   // Calculate interpolation ratio
   const auto & curr_pt = trajectory.at(segment_idx);
   const auto & next_pt = trajectory.at(segment_idx + 1);
-  const auto v1 = tier4_autoware_utils::point2tfVector(curr_pt, next_pt);
-  const auto v2 = tier4_autoware_utils::point2tfVector(curr_pt, target_point);
+  const auto v1 = autoware::universe_utils::point2tfVector(curr_pt, next_pt);
+  const auto v2 = autoware::universe_utils::point2tfVector(curr_pt, target_point);
   if (v1.length2() < 1e-3) {
     return curr_pt;
   }
@@ -109,7 +111,7 @@ TrajectoryPoint calcInterpolatedPoint(
 
   // pose interpolation
   interpolated_point.pose =
-    tier4_autoware_utils::calcInterpolatedPose(curr_pt, next_pt, clamped_ratio);
+    autoware::universe_utils::calcInterpolatedPose(curr_pt, next_pt, clamped_ratio);
 
   // twist interpolation
   if (use_zero_order_hold_for_twist) {
@@ -158,7 +160,7 @@ std::pair<size_t, TrajectoryPoint> findStopPoint(
 
   for (size_t i = collision_idx; i > 0; i--) {
     distance_point_to_collision =
-      motion_utils::calcSignedArcLength(trajectory_array, i - 1, collision_idx);
+      autoware::motion_utils::calcSignedArcLength(trajectory_array, i - 1, collision_idx);
     if (distance_point_to_collision >= desired_distance_base_link_to_collision) {
       stop_segment_idx = i - 1;
       found_stop_point = true;
@@ -174,8 +176,8 @@ std::pair<size_t, TrajectoryPoint> findStopPoint(
                      base_point.pose.position.x - next_point.pose.position.x,
                      base_point.pose.position.y - next_point.pose.position.y));
 
-    geometry_msgs::msg::Pose interpolated_pose =
-      tier4_autoware_utils::calcInterpolatedPose(base_point.pose, next_point.pose, ratio, false);
+    geometry_msgs::msg::Pose interpolated_pose = autoware::universe_utils::calcInterpolatedPose(
+      base_point.pose, next_point.pose, ratio, false);
     TrajectoryPoint output;
     output.set__pose(interpolated_pose);
     return std::make_pair(stop_segment_idx, output);
@@ -194,7 +196,7 @@ bool isInBrakeDistance(
     return false;
   }
 
-  const auto distance_to_obstacle = motion_utils::calcSignedArcLength(
+  const auto distance_to_obstacle = autoware::motion_utils::calcSignedArcLength(
     trajectory, trajectory.front().pose.position, trajectory.at(stop_idx).pose.position);
 
   const double distance_in_delay = relative_velocity * delay_time_sec +
@@ -247,7 +249,7 @@ double getNearestPointAndDistanceForPredictedObject(
   bool is_init = false;
 
   for (const auto & p : points) {
-    double norm = tier4_autoware_utils::calcDistance2d(p, base_pose);
+    double norm = autoware::universe_utils::calcDistance2d(p, base_pose);
     if (norm < min_norm || !is_init) {
       min_norm = norm;
       *nearest_collision_point = p;
@@ -369,7 +371,7 @@ Polygon2d convertObjToPolygon(const PredictedObject & obj)
 
 bool isFrontObstacle(const Pose & ego_pose, const geometry_msgs::msg::Point & obstacle_pos)
 {
-  const auto yaw = tier4_autoware_utils::getRPY(ego_pose).z;
+  const auto yaw = autoware::universe_utils::getRPY(ego_pose).z;
   const Eigen::Vector2d base_pose_vec(std::cos(yaw), std::sin(yaw));
   const Eigen::Vector2d obstacle_vec(
     obstacle_pos.x - ego_pose.position.x, obstacle_pos.y - ego_pose.position.y);
@@ -401,7 +403,7 @@ void getCurrentObjectPose(
   PredictedObject & predicted_object, const rclcpp::Time & obj_base_time,
   const rclcpp::Time & current_time)
 {
-  const double yaw = tier4_autoware_utils::getRPY(
+  const double yaw = autoware::universe_utils::getRPY(
                        predicted_object.kinematics.initial_pose_with_covariance.pose.orientation)
                        .z;
   const double vx = predicted_object.kinematics.initial_twist_with_covariance.twist.linear.x;
@@ -412,8 +414,8 @@ void getCurrentObjectPose(
   const double delta_yaw =
     predicted_object.kinematics.initial_twist_with_covariance.twist.angular.z * dt;
   geometry_msgs::msg::Transform transform;
-  transform.translation = tier4_autoware_utils::createTranslation(ds, 0.0, 0.0);
-  transform.rotation = tier4_autoware_utils::createQuaternionFromRPY(0.0, 0.0, yaw);
+  transform.translation = autoware::universe_utils::createTranslation(ds, 0.0, 0.0);
+  transform.rotation = autoware::universe_utils::createQuaternionFromRPY(0.0, 0.0, yaw);
 
   tf2::Transform tf_pose;
   tf2::Transform tf_offset;
@@ -422,8 +424,8 @@ void getCurrentObjectPose(
   tf2::toMsg(tf_pose * tf_offset, predicted_object.kinematics.initial_pose_with_covariance.pose);
   predicted_object.kinematics.initial_twist_with_covariance.twist.linear.x += ax * dt;
   predicted_object.kinematics.initial_pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromRPY(
-      0.0, 0.0, tier4_autoware_utils::normalizeRadian(yaw + delta_yaw));
+    autoware::universe_utils::createQuaternionFromRPY(
+      0.0, 0.0, autoware::universe_utils::normalizeRadian(yaw + delta_yaw));
 }
 
 }  // namespace utils
diff --git a/evaluator/control_evaluator/CMakeLists.txt b/evaluator/autoware_control_evaluator/CMakeLists.txt
similarity index 50%
rename from evaluator/control_evaluator/CMakeLists.txt
rename to evaluator/autoware_control_evaluator/CMakeLists.txt
index b97a14e29cdcd..189745349a592 100644
--- a/evaluator/control_evaluator/CMakeLists.txt
+++ b/evaluator/autoware_control_evaluator/CMakeLists.txt
@@ -1,18 +1,19 @@
 cmake_minimum_required(VERSION 3.14)
-project(control_evaluator)
+project(autoware_control_evaluator)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
 
 find_package(pluginlib REQUIRED)
 
-ament_auto_add_library(${PROJECT_NAME}_node SHARED
-  src/${PROJECT_NAME}_node.cpp
+ament_auto_add_library(control_evaluator_node SHARED
+  src/control_evaluator_node.cpp
+  src/metrics/deviation_metrics.cpp
 )
 
-rclcpp_components_register_node(${PROJECT_NAME}_node
+rclcpp_components_register_node(control_evaluator_node
   PLUGIN "control_diagnostics::controlEvaluatorNode"
-  EXECUTABLE ${PROJECT_NAME}
+  EXECUTABLE control_evaluator
 )
 
 
diff --git a/evaluator/control_evaluator/README.md b/evaluator/autoware_control_evaluator/README.md
similarity index 100%
rename from evaluator/control_evaluator/README.md
rename to evaluator/autoware_control_evaluator/README.md
diff --git a/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/control_evaluator_node.hpp b/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/control_evaluator_node.hpp
new file mode 100644
index 0000000000000..279bada80e1b9
--- /dev/null
+++ b/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/control_evaluator_node.hpp
@@ -0,0 +1,94 @@
+// Copyright 2024 Tier IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef AUTOWARE__CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
+#define AUTOWARE__CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
+
+#include "autoware/control_evaluator/metrics/deviation_metrics.hpp"
+
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <rclcpp/rclcpp.hpp>
+
+#include <diagnostic_msgs/msg/diagnostic_array.hpp>
+#include <nav_msgs/msg/odometry.hpp>
+
+#include <array>
+#include <deque>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+namespace control_diagnostics
+{
+
+using autoware_planning_msgs::msg::Trajectory;
+using diagnostic_msgs::msg::DiagnosticArray;
+using diagnostic_msgs::msg::DiagnosticStatus;
+using geometry_msgs::msg::Point;
+using geometry_msgs::msg::Pose;
+using nav_msgs::msg::Odometry;
+
+/**
+ * @brief Node for control evaluation
+ */
+class controlEvaluatorNode : public rclcpp::Node
+{
+public:
+  explicit controlEvaluatorNode(const rclcpp::NodeOptions & node_options);
+  void removeOldDiagnostics(const rclcpp::Time & stamp);
+  void removeDiagnosticsByName(const std::string & name);
+  void addDiagnostic(const DiagnosticStatus & diag, const rclcpp::Time & stamp);
+  void updateDiagnosticQueue(
+    const DiagnosticArray & input_diagnostics, const std::string & function,
+    const rclcpp::Time & stamp);
+
+  DiagnosticStatus generateLateralDeviationDiagnosticStatus(
+    const Trajectory & traj, const Point & ego_point);
+  DiagnosticStatus generateYawDeviationDiagnosticStatus(
+    const Trajectory & traj, const Pose & ego_pose);
+  std::optional<DiagnosticStatus> generateStopDiagnosticStatus(
+    const DiagnosticArray & diag, const std::string & function_name);
+
+  DiagnosticStatus generateAEBDiagnosticStatus(const DiagnosticStatus & diag);
+
+  void onDiagnostics(const DiagnosticArray::ConstSharedPtr diag_msg);
+  void onTimer();
+
+private:
+  // The diagnostics cycle is faster than timer, and each node publishes diagnostic separately.
+  // takeData() in onTimer() with a polling subscriber will miss a topic, so save all topics with
+  // onDiagnostics().
+  rclcpp::Subscription<DiagnosticArray>::SharedPtr control_diag_sub_;
+
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> odometry_sub_{
+    this, "~/input/odometry"};
+  autoware::universe_utils::InterProcessPollingSubscriber<Trajectory> traj_sub_{
+    this, "~/input/trajectory"};
+
+  rclcpp::Publisher<DiagnosticArray>::SharedPtr metrics_pub_;
+
+  // Calculator
+  // Metrics
+  std::deque<rclcpp::Time> stamps_;
+
+  // queue for diagnostics and time stamp
+  std::deque<std::pair<DiagnosticStatus, rclcpp::Time>> diag_queue_;
+  const std::vector<std::string> target_functions_ = {"autonomous_emergency_braking"};
+
+  rclcpp::TimerBase::SharedPtr timer_;
+};
+}  // namespace control_diagnostics
+
+#endif  // AUTOWARE__CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
diff --git a/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/metrics/deviation_metrics.hpp b/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/metrics/deviation_metrics.hpp
new file mode 100644
index 0000000000000..94fbd53532e7d
--- /dev/null
+++ b/evaluator/autoware_control_evaluator/include/autoware/control_evaluator/metrics/deviation_metrics.hpp
@@ -0,0 +1,48 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef AUTOWARE__CONTROL_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
+#define AUTOWARE__CONTROL_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
+
+#include <autoware_planning_msgs/msg/trajectory.hpp>
+#include <autoware_planning_msgs/msg/trajectory_point.hpp>
+
+namespace control_diagnostics
+{
+namespace metrics
+{
+using autoware_planning_msgs::msg::Trajectory;
+using geometry_msgs::msg::Point;
+using geometry_msgs::msg::Pose;
+
+/**
+ * @brief calculate lateral deviation of the given trajectory from the reference trajectory
+ * @param [in] ref reference trajectory
+ * @param [in] point input point
+ * @return lateral deviation
+ */
+double calcLateralDeviation(const Trajectory & traj, const Point & point);
+
+/**
+ * @brief calculate yaw deviation of the given trajectory from the reference trajectory
+ * @param [in] traj input trajectory
+ * @param [in] pose input pose
+ * @return yaw deviation
+ */
+double calcYawDeviation(const Trajectory & traj, const Pose & pose);
+
+}  // namespace metrics
+}  // namespace control_diagnostics
+
+#endif  // AUTOWARE__CONTROL_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
diff --git a/evaluator/autoware_control_evaluator/launch/control_evaluator.launch.xml b/evaluator/autoware_control_evaluator/launch/control_evaluator.launch.xml
new file mode 100644
index 0000000000000..e119f1787d21b
--- /dev/null
+++ b/evaluator/autoware_control_evaluator/launch/control_evaluator.launch.xml
@@ -0,0 +1,15 @@
+<launch>
+  <arg name="input/diagnostics" default="/diagnostics"/>
+  <arg name="input/odometry" default="/localization/kinematic_state"/>
+  <arg name="input/trajectory" default="/planning/scenario_planning/trajectory"/>
+  <!-- control evaluator -->
+  <group>
+    <node name="control_evaluator" exec="control_evaluator" pkg="autoware_control_evaluator">
+      <param from="$(find-pkg-share autoware_control_evaluator)/param/control_evaluator.defaults.yaml"/>
+      <remap from="~/input/diagnostics" to="$(var input/diagnostics)"/>
+      <remap from="~/input/odometry" to="$(var input/odometry)"/>
+      <remap from="~/input/trajectory" to="$(var input/trajectory)"/>
+      <remap from="~/metrics" to="/diagnostic/control_evaluator/metrics"/>
+    </node>
+  </group>
+</launch>
diff --git a/evaluator/control_evaluator/package.xml b/evaluator/autoware_control_evaluator/package.xml
similarity index 83%
rename from evaluator/control_evaluator/package.xml
rename to evaluator/autoware_control_evaluator/package.xml
index 10686e9b73761..49631c566eaf5 100644
--- a/evaluator/control_evaluator/package.xml
+++ b/evaluator/autoware_control_evaluator/package.xml
@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>control_evaluator</name>
+  <name>autoware_control_evaluator</name>
   <version>0.1.0</version>
   <description>ROS 2 node for evaluating control</description>
   <maintainer email="daniel.sanchez@tier4.jp">Daniel SANCHEZ</maintainer>
@@ -14,10 +14,14 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
+  <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
+  <!-- <depend>nav_msgs</depend> -->
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/evaluator/control_evaluator/param/control_evaluator.defaults.yaml b/evaluator/autoware_control_evaluator/param/control_evaluator.defaults.yaml
similarity index 100%
rename from evaluator/control_evaluator/param/control_evaluator.defaults.yaml
rename to evaluator/autoware_control_evaluator/param/control_evaluator.defaults.yaml
diff --git a/evaluator/autoware_control_evaluator/src/control_evaluator_node.cpp b/evaluator/autoware_control_evaluator/src/control_evaluator_node.cpp
new file mode 100644
index 0000000000000..ce749e6e8d5eb
--- /dev/null
+++ b/evaluator/autoware_control_evaluator/src/control_evaluator_node.cpp
@@ -0,0 +1,180 @@
+// Copyright 2024 Tier IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "autoware/control_evaluator/control_evaluator_node.hpp"
+
+#include <fstream>
+#include <iostream>
+#include <map>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+namespace control_diagnostics
+{
+controlEvaluatorNode::controlEvaluatorNode(const rclcpp::NodeOptions & node_options)
+: Node("control_evaluator", node_options)
+{
+  using std::placeholders::_1;
+  control_diag_sub_ = create_subscription<DiagnosticArray>(
+    "~/input/diagnostics", 1, std::bind(&controlEvaluatorNode::onDiagnostics, this, _1));
+
+  // Publisher
+  metrics_pub_ = create_publisher<DiagnosticArray>("~/metrics", 1);
+
+  // Timer callback to publish evaluator diagnostics
+  using namespace std::literals::chrono_literals;
+  timer_ =
+    rclcpp::create_timer(this, get_clock(), 100ms, std::bind(&controlEvaluatorNode::onTimer, this));
+}
+
+void controlEvaluatorNode::removeOldDiagnostics(const rclcpp::Time & stamp)
+{
+  constexpr double KEEP_TIME = 1.0;
+  diag_queue_.erase(
+    std::remove_if(
+      diag_queue_.begin(), diag_queue_.end(),
+      [stamp](const std::pair<diagnostic_msgs::msg::DiagnosticStatus, rclcpp::Time> & p) {
+        return (stamp - p.second).seconds() > KEEP_TIME;
+      }),
+    diag_queue_.end());
+}
+
+void controlEvaluatorNode::removeDiagnosticsByName(const std::string & name)
+{
+  diag_queue_.erase(
+    std::remove_if(
+      diag_queue_.begin(), diag_queue_.end(),
+      [&name](const std::pair<diagnostic_msgs::msg::DiagnosticStatus, rclcpp::Time> & p) {
+        return p.first.name.find(name) != std::string::npos;
+      }),
+    diag_queue_.end());
+}
+
+void controlEvaluatorNode::addDiagnostic(
+  const diagnostic_msgs::msg::DiagnosticStatus & diag, const rclcpp::Time & stamp)
+{
+  diag_queue_.push_back(std::make_pair(diag, stamp));
+}
+
+void controlEvaluatorNode::updateDiagnosticQueue(
+  const DiagnosticArray & input_diagnostics, const std::string & function,
+  const rclcpp::Time & stamp)
+{
+  const auto it = std::find_if(
+    input_diagnostics.status.begin(), input_diagnostics.status.end(),
+    [&function](const diagnostic_msgs::msg::DiagnosticStatus & diag) {
+      return diag.name.find(function) != std::string::npos;
+    });
+  if (it != input_diagnostics.status.end()) {
+    removeDiagnosticsByName(it->name);
+    addDiagnostic(*it, input_diagnostics.header.stamp);
+  }
+
+  removeOldDiagnostics(stamp);
+}
+
+void controlEvaluatorNode::onDiagnostics(const DiagnosticArray::ConstSharedPtr diag_msg)
+{
+  // add target diagnostics to the queue and remove old ones
+  for (const auto & function : target_functions_) {
+    updateDiagnosticQueue(*diag_msg, function, now());
+  }
+}
+
+DiagnosticStatus controlEvaluatorNode::generateAEBDiagnosticStatus(const DiagnosticStatus & diag)
+{
+  DiagnosticStatus status;
+  status.level = status.OK;
+  status.name = diag.name;
+  diagnostic_msgs::msg::KeyValue key_value;
+  key_value.key = "decision";
+  const bool is_emergency_brake = (diag.level == DiagnosticStatus::ERROR);
+  key_value.value = (is_emergency_brake) ? "stop" : "none";
+  status.values.push_back(key_value);
+
+  return status;
+}
+
+DiagnosticStatus controlEvaluatorNode::generateLateralDeviationDiagnosticStatus(
+  const Trajectory & traj, const Point & ego_point)
+{
+  const double lateral_deviation = metrics::calcLateralDeviation(traj, ego_point);
+
+  DiagnosticStatus status;
+  status.level = status.OK;
+  status.name = "lateral_deviation";
+  diagnostic_msgs::msg::KeyValue key_value;
+  key_value.key = "metric_value";
+  key_value.value = std::to_string(lateral_deviation);
+  status.values.push_back(key_value);
+
+  return status;
+}
+
+DiagnosticStatus controlEvaluatorNode::generateYawDeviationDiagnosticStatus(
+  const Trajectory & traj, const Pose & ego_pose)
+{
+  const double yaw_deviation = metrics::calcYawDeviation(traj, ego_pose);
+
+  DiagnosticStatus status;
+  status.level = status.OK;
+  status.name = "yaw_deviation";
+  diagnostic_msgs::msg::KeyValue key_value;
+  key_value.key = "metric_value";
+  key_value.value = std::to_string(yaw_deviation);
+  status.values.push_back(key_value);
+
+  return status;
+}
+
+void controlEvaluatorNode::onTimer()
+{
+  DiagnosticArray metrics_msg;
+  const auto traj = traj_sub_.takeData();
+  const auto odom = odometry_sub_.takeData();
+
+  // generate decision diagnostics from input diagnostics
+  for (const auto & function : target_functions_) {
+    const auto it = std::find_if(
+      diag_queue_.begin(), diag_queue_.end(),
+      [&function](const std::pair<diagnostic_msgs::msg::DiagnosticStatus, rclcpp::Time> & p) {
+        return p.first.name.find(function) != std::string::npos;
+      });
+    if (it == diag_queue_.end()) {
+      continue;
+    }
+    // generate each decision diagnostics
+    // - AEB decision
+    if (it->first.name.find("autonomous_emergency_braking") != std::string::npos) {
+      metrics_msg.status.push_back(generateAEBDiagnosticStatus(it->first));
+    }
+  }
+
+  // calculate deviation metrics
+  if (odom && traj && !traj->points.empty()) {
+    const Pose ego_pose = odom->pose.pose;
+    metrics_msg.status.push_back(
+      generateLateralDeviationDiagnosticStatus(*traj, ego_pose.position));
+    metrics_msg.status.push_back(generateYawDeviationDiagnosticStatus(*traj, ego_pose));
+  }
+
+  metrics_msg.header.stamp = now();
+  metrics_pub_->publish(metrics_msg);
+}
+}  // namespace control_diagnostics
+
+#include "rclcpp_components/register_node_macro.hpp"
+RCLCPP_COMPONENTS_REGISTER_NODE(control_diagnostics::controlEvaluatorNode)
diff --git a/evaluator/autoware_control_evaluator/src/metrics/deviation_metrics.cpp b/evaluator/autoware_control_evaluator/src/metrics/deviation_metrics.cpp
new file mode 100644
index 0000000000000..689291da09f6d
--- /dev/null
+++ b/evaluator/autoware_control_evaluator/src/metrics/deviation_metrics.cpp
@@ -0,0 +1,42 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "autoware/control_evaluator/metrics/deviation_metrics.hpp"
+
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
+
+namespace control_diagnostics
+{
+namespace metrics
+{
+using autoware_planning_msgs::msg::Trajectory;
+
+double calcLateralDeviation(const Trajectory & traj, const Point & point)
+{
+  const size_t nearest_index = autoware::motion_utils::findNearestIndex(traj.points, point);
+  return std::abs(
+    autoware::universe_utils::calcLateralDeviation(traj.points[nearest_index].pose, point));
+}
+
+double calcYawDeviation(const Trajectory & traj, const Pose & pose)
+{
+  const size_t nearest_index = autoware::motion_utils::findNearestIndex(traj.points, pose.position);
+  return std::abs(
+    autoware::universe_utils::calcYawDeviation(traj.points[nearest_index].pose, pose));
+}
+
+}  // namespace metrics
+}  // namespace control_diagnostics
diff --git a/evaluator/autoware_planning_evaluator/CMakeLists.txt b/evaluator/autoware_planning_evaluator/CMakeLists.txt
new file mode 100644
index 0000000000000..848b10e392316
--- /dev/null
+++ b/evaluator/autoware_planning_evaluator/CMakeLists.txt
@@ -0,0 +1,36 @@
+cmake_minimum_required(VERSION 3.14)
+project(autoware_planning_evaluator)
+
+find_package(autoware_cmake REQUIRED)
+autoware_package()
+
+find_package(pluginlib REQUIRED)
+
+ament_auto_add_library(planning_evaluator_node SHARED
+  DIRECTORY src
+)
+
+rclcpp_components_register_node(planning_evaluator_node
+  PLUGIN "planning_diagnostics::PlanningEvaluatorNode"
+  EXECUTABLE planning_evaluator
+)
+
+rclcpp_components_register_node(planning_evaluator_node
+  PLUGIN "planning_diagnostics::MotionEvaluatorNode"
+  EXECUTABLE motion_evaluator
+)
+
+if(BUILD_TESTING)
+  ament_add_ros_isolated_gtest(test_planning_evaluator
+    test/test_planning_evaluator_node.cpp
+  )
+  target_link_libraries(test_planning_evaluator
+    planning_evaluator_node
+  )
+endif()
+
+ament_auto_package(
+  INSTALL_TO_SHARE
+    param
+    launch
+)
diff --git a/evaluator/planning_evaluator/README.md b/evaluator/autoware_planning_evaluator/README.md
similarity index 100%
rename from evaluator/planning_evaluator/README.md
rename to evaluator/autoware_planning_evaluator/README.md
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/deviation_metrics.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/deviation_metrics.hpp
similarity index 91%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/deviation_metrics.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/deviation_metrics.hpp
index 02464207801cb..8d7cfbd30d604 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/deviation_metrics.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/deviation_metrics.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
-#define PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
 
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -80,4 +80,4 @@ Stat<double> calcYawDeviation(const Pose & base_pose, const Pose & target_pose);
 }  // namespace metrics
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__DEVIATION_METRICS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/metric.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metric.hpp
similarity index 96%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/metric.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metric.hpp
index e1ec69dbaef5c..c0313ed0727dd 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/metric.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metric.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__METRIC_HPP_
-#define PLANNING_EVALUATOR__METRICS__METRIC_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__METRIC_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__METRIC_HPP_
 
 #include <iostream>
 #include <string>
@@ -131,4 +131,4 @@ static struct CheckCorrectMaps
 }  // namespace details
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS__METRIC_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__METRIC_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/metrics_utils.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metrics_utils.hpp
similarity index 83%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/metrics_utils.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metrics_utils.hpp
index e3280187ccef7..2ade316ba7ad5 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/metrics_utils.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/metrics_utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
-#define PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
 
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -40,4 +40,4 @@ size_t getIndexAfterDistance(const Trajectory & traj, const size_t curr_id, cons
 }  // namespace utils
 }  // namespace metrics
 }  // namespace planning_diagnostics
-#endif  // PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__METRICS_UTILS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/obstacle_metrics.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/obstacle_metrics.hpp
similarity index 86%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/obstacle_metrics.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/obstacle_metrics.hpp
index 062ace8747253..c4d468b4dacd5 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/obstacle_metrics.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/obstacle_metrics.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
-#define PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
 
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_perception_msgs/msg/predicted_objects.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -48,4 +48,4 @@ Stat<double> calcTimeToCollision(
 }  // namespace metrics
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__OBSTACLE_METRICS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/stability_metrics.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/stability_metrics.hpp
similarity index 83%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/stability_metrics.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/stability_metrics.hpp
index e6ae9222d4bb9..f1e93380d34d6 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/stability_metrics.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/stability_metrics.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
-#define PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
 
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 
@@ -44,4 +44,4 @@ Stat<double> calcLateralDistance(const Trajectory & traj1, const Trajectory & tr
 }  // namespace metrics
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__STABILITY_METRICS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics/trajectory_metrics.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/trajectory_metrics.hpp
similarity index 90%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics/trajectory_metrics.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/trajectory_metrics.hpp
index e88864016ca84..14a6a5c451619 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics/trajectory_metrics.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics/trajectory_metrics.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
-#define PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
 
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -87,4 +87,4 @@ Stat<double> calcTrajectoryJerk(const Trajectory & traj);
 }  // namespace metrics
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS__TRAJECTORY_METRICS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/metrics_calculator.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics_calculator.hpp
similarity index 90%
rename from evaluator/planning_evaluator/include/planning_evaluator/metrics_calculator.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics_calculator.hpp
index 99ec5b787706b..f500a435edba1 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/metrics_calculator.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/metrics_calculator.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
-#define PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
-#include "planning_evaluator/metrics/metric.hpp"
-#include "planning_evaluator/parameters.hpp"
-#include "planning_evaluator/stat.hpp"
+#ifndef AUTOWARE__PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
+#include "autoware/planning_evaluator/metrics/metric.hpp"
+#include "autoware/planning_evaluator/parameters.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 
 #include "autoware_perception_msgs/msg/predicted_objects.hpp"
 #include "autoware_planning_msgs/msg/pose_with_uuid_stamped.hpp"
@@ -104,4 +104,4 @@ class MetricsCalculator
 
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__METRICS_CALCULATOR_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/motion_evaluator_node.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/motion_evaluator_node.hpp
similarity index 86%
rename from evaluator/planning_evaluator/include/planning_evaluator/motion_evaluator_node.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/motion_evaluator_node.hpp
index 8e2561e3eaf0f..ed9c975436ba5 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/motion_evaluator_node.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/motion_evaluator_node.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
-#define PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
 
-#include "planning_evaluator/metrics_calculator.hpp"
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/metrics_calculator.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2_ros/buffer.h"
 #include "tf2_ros/transform_listener.h"
@@ -71,4 +71,4 @@ class MotionEvaluatorNode : public rclcpp::Node
 };
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__MOTION_EVALUATOR_NODE_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/parameters.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/parameters.hpp
similarity index 83%
rename from evaluator/planning_evaluator/include/planning_evaluator/parameters.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/parameters.hpp
index fb4acb53888f2..cd894fecc2331 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/parameters.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/parameters.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__PARAMETERS_HPP_
-#define PLANNING_EVALUATOR__PARAMETERS_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__PARAMETERS_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__PARAMETERS_HPP_
 
-#include "planning_evaluator/metrics/metric.hpp"
+#include "autoware/planning_evaluator/metrics/metric.hpp"
 
 #include <array>
 
@@ -46,4 +46,4 @@ struct Parameters
 
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__PARAMETERS_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__PARAMETERS_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/planning_evaluator_node.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/planning_evaluator_node.hpp
similarity index 92%
rename from evaluator/planning_evaluator/include/planning_evaluator/planning_evaluator_node.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/planning_evaluator_node.hpp
index e02f833a67291..0121425c15d1d 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/planning_evaluator_node.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/planning_evaluator_node.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
-#define PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
 
-#include "planning_evaluator/metrics_calculator.hpp"
-#include "planning_evaluator/stat.hpp"
+#include "autoware/planning_evaluator/metrics_calculator.hpp"
+#include "autoware/planning_evaluator/stat.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2_ros/buffer.h"
 #include "tf2_ros/transform_listener.h"
@@ -119,4 +119,4 @@ class PlanningEvaluatorNode : public rclcpp::Node
 };
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__PLANNING_EVALUATOR_NODE_HPP_
diff --git a/evaluator/planning_evaluator/include/planning_evaluator/stat.hpp b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/stat.hpp
similarity index 93%
rename from evaluator/planning_evaluator/include/planning_evaluator/stat.hpp
rename to evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/stat.hpp
index ce03aea7669b4..5f63f29a96f26 100644
--- a/evaluator/planning_evaluator/include/planning_evaluator/stat.hpp
+++ b/evaluator/autoware_planning_evaluator/include/autoware/planning_evaluator/stat.hpp
@@ -15,8 +15,8 @@
 #include <iostream>
 #include <limits>
 
-#ifndef PLANNING_EVALUATOR__STAT_HPP_
-#define PLANNING_EVALUATOR__STAT_HPP_
+#ifndef AUTOWARE__PLANNING_EVALUATOR__STAT_HPP_
+#define AUTOWARE__PLANNING_EVALUATOR__STAT_HPP_
 
 namespace planning_diagnostics
 {
@@ -90,4 +90,4 @@ std::ostream & operator<<(std::ostream & os, const Stat<T> & stat)
 
 }  // namespace planning_diagnostics
 
-#endif  // PLANNING_EVALUATOR__STAT_HPP_
+#endif  // AUTOWARE__PLANNING_EVALUATOR__STAT_HPP_
diff --git a/evaluator/planning_evaluator/launch/motion_evaluator.launch.xml b/evaluator/autoware_planning_evaluator/launch/motion_evaluator.launch.xml
similarity index 57%
rename from evaluator/planning_evaluator/launch/motion_evaluator.launch.xml
rename to evaluator/autoware_planning_evaluator/launch/motion_evaluator.launch.xml
index d6cf76da860dc..6558d0b568c94 100644
--- a/evaluator/planning_evaluator/launch/motion_evaluator.launch.xml
+++ b/evaluator/autoware_planning_evaluator/launch/motion_evaluator.launch.xml
@@ -1,7 +1,7 @@
 <launch>
   <arg name="input/twist" default="/localization/twist"/>
 
-  <node name="motion_evaluator" exec="motion_evaluator" pkg="planning_evaluator" output="screen">
+  <node name="motion_evaluator" exec="motion_evaluator" pkg="autoware_planning_evaluator" output="screen">
     <remap from="~/input/twist" to="$(var input/twist)"/>
   </node>
 </launch>
diff --git a/evaluator/planning_evaluator/launch/planning_evaluator.launch.xml b/evaluator/autoware_planning_evaluator/launch/planning_evaluator.launch.xml
similarity index 88%
rename from evaluator/planning_evaluator/launch/planning_evaluator.launch.xml
rename to evaluator/autoware_planning_evaluator/launch/planning_evaluator.launch.xml
index 4f36a614b5d09..2e358f6272379 100644
--- a/evaluator/planning_evaluator/launch/planning_evaluator.launch.xml
+++ b/evaluator/autoware_planning_evaluator/launch/planning_evaluator.launch.xml
@@ -7,8 +7,8 @@
 
   <!-- planning evaluator -->
   <group>
-    <node name="planning_evaluator" exec="planning_evaluator" pkg="planning_evaluator">
-      <param from="$(find-pkg-share planning_evaluator)/param/planning_evaluator.defaults.yaml"/>
+    <node name="planning_evaluator" exec="planning_evaluator" pkg="autoware_planning_evaluator">
+      <param from="$(find-pkg-share autoware_planning_evaluator)/param/planning_evaluator.defaults.yaml"/>
       <remap from="~/input/odometry" to="$(var input/odometry)"/>
       <remap from="~/input/trajectory" to="$(var input/trajectory)"/>
       <remap from="~/input/reference_trajectory" to="$(var input/reference_trajectory)"/>
diff --git a/evaluator/planning_evaluator/package.xml b/evaluator/autoware_planning_evaluator/package.xml
similarity index 90%
rename from evaluator/planning_evaluator/package.xml
rename to evaluator/autoware_planning_evaluator/package.xml
index cf91d7077d609..5bd500f200eac 100644
--- a/evaluator/planning_evaluator/package.xml
+++ b/evaluator/autoware_planning_evaluator/package.xml
@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>planning_evaluator</name>
+  <name>autoware_planning_evaluator</name>
   <version>0.1.0</version>
   <description>ROS 2 node for evaluating planners</description>
   <maintainer email="maxime.clement@tier4.jp">Maxime CLEMENT</maintainer>
@@ -13,19 +13,19 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/evaluator/planning_evaluator/param/planning_evaluator.defaults.yaml b/evaluator/autoware_planning_evaluator/param/planning_evaluator.defaults.yaml
similarity index 100%
rename from evaluator/planning_evaluator/param/planning_evaluator.defaults.yaml
rename to evaluator/autoware_planning_evaluator/param/planning_evaluator.defaults.yaml
diff --git a/evaluator/planning_evaluator/src/metrics/deviation_metrics.cpp b/evaluator/autoware_planning_evaluator/src/metrics/deviation_metrics.cpp
similarity index 68%
rename from evaluator/planning_evaluator/src/metrics/deviation_metrics.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics/deviation_metrics.cpp
index e403b8415938d..8ce8a009652d8 100644
--- a/evaluator/planning_evaluator/src/metrics/deviation_metrics.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics/deviation_metrics.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics/deviation_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/deviation_metrics.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/geometry/pose_deviation.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
 
 namespace planning_diagnostics
 {
@@ -37,9 +37,10 @@ Stat<double> calcLateralDeviation(const Trajectory & ref, const Trajectory & tra
    * need more precise calculation, e.g., lateral distance from spline of the reference traj
    */
   for (TrajectoryPoint p : traj.points) {
-    const size_t nearest_index = motion_utils::findNearestIndex(ref.points, p.pose.position);
-    stat.add(
-      tier4_autoware_utils::calcLateralDeviation(ref.points[nearest_index].pose, p.pose.position));
+    const size_t nearest_index =
+      autoware::motion_utils::findNearestIndex(ref.points, p.pose.position);
+    stat.add(autoware::universe_utils::calcLateralDeviation(
+      ref.points[nearest_index].pose, p.pose.position));
   }
   return stat;
 }
@@ -56,8 +57,9 @@ Stat<double> calcYawDeviation(const Trajectory & ref, const Trajectory & traj)
    * need more precise calculation, e.g., yaw distance from spline of the reference traj
    */
   for (TrajectoryPoint p : traj.points) {
-    const size_t nearest_index = motion_utils::findNearestIndex(ref.points, p.pose.position);
-    stat.add(tier4_autoware_utils::calcYawDeviation(ref.points[nearest_index].pose, p.pose));
+    const size_t nearest_index =
+      autoware::motion_utils::findNearestIndex(ref.points, p.pose.position);
+    stat.add(autoware::universe_utils::calcYawDeviation(ref.points[nearest_index].pose, p.pose));
   }
   return stat;
 }
@@ -72,7 +74,8 @@ Stat<double> calcVelocityDeviation(const Trajectory & ref, const Trajectory & tr
 
   // TODO(Maxime CLEMENT) need more precise calculation
   for (TrajectoryPoint p : traj.points) {
-    const size_t nearest_index = motion_utils::findNearestIndex(ref.points, p.pose.position);
+    const size_t nearest_index =
+      autoware::motion_utils::findNearestIndex(ref.points, p.pose.position);
     stat.add(p.longitudinal_velocity_mps - ref.points[nearest_index].longitudinal_velocity_mps);
   }
   return stat;
@@ -81,21 +84,21 @@ Stat<double> calcVelocityDeviation(const Trajectory & ref, const Trajectory & tr
 Stat<double> calcLongitudinalDeviation(const Pose & base_pose, const Point & target_point)
 {
   Stat<double> stat;
-  stat.add(std::abs(tier4_autoware_utils::calcLongitudinalDeviation(base_pose, target_point)));
+  stat.add(std::abs(autoware::universe_utils::calcLongitudinalDeviation(base_pose, target_point)));
   return stat;
 }
 
 Stat<double> calcLateralDeviation(const Pose & base_pose, const Point & target_point)
 {
   Stat<double> stat;
-  stat.add(std::abs(tier4_autoware_utils::calcLateralDeviation(base_pose, target_point)));
+  stat.add(std::abs(autoware::universe_utils::calcLateralDeviation(base_pose, target_point)));
   return stat;
 }
 
 Stat<double> calcYawDeviation(const Pose & base_pose, const Pose & target_pose)
 {
   Stat<double> stat;
-  stat.add(std::abs(tier4_autoware_utils::calcYawDeviation(base_pose, target_pose)));
+  stat.add(std::abs(autoware::universe_utils::calcYawDeviation(base_pose, target_pose)));
   return stat;
 }
 }  // namespace metrics
diff --git a/evaluator/planning_evaluator/src/metrics/metrics_utils.cpp b/evaluator/autoware_planning_evaluator/src/metrics/metrics_utils.cpp
similarity index 88%
rename from evaluator/planning_evaluator/src/metrics/metrics_utils.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics/metrics_utils.cpp
index 974f30223bff8..e17cfd98b27da 100644
--- a/evaluator/planning_evaluator/src/metrics/metrics_utils.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics/metrics_utils.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics/trajectory_metrics.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/planning_evaluator/metrics/trajectory_metrics.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 namespace planning_diagnostics
 {
 namespace metrics
 {
 namespace utils
 {
+using autoware::universe_utils::calcDistance2d;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::calcDistance2d;
 
 size_t getIndexAfterDistance(const Trajectory & traj, const size_t curr_id, const double distance)
 {
diff --git a/evaluator/planning_evaluator/src/metrics/obstacle_metrics.cpp b/evaluator/autoware_planning_evaluator/src/metrics/obstacle_metrics.cpp
similarity index 93%
rename from evaluator/planning_evaluator/src/metrics/obstacle_metrics.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics/obstacle_metrics.cpp
index af4508a370ab6..3cdaf3d7eaaae 100644
--- a/evaluator/planning_evaluator/src/metrics/obstacle_metrics.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics/obstacle_metrics.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics/obstacle_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/obstacle_metrics.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <Eigen/Core>
 
@@ -27,8 +27,8 @@ namespace planning_diagnostics
 {
 namespace metrics
 {
+using autoware::universe_utils::calcDistance2d;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::calcDistance2d;
 
 Stat<double> calcDistanceToObstacle(const PredictedObjects & obstacles, const Trajectory & traj)
 {
diff --git a/evaluator/planning_evaluator/src/metrics/stability_metrics.cpp b/evaluator/autoware_planning_evaluator/src/metrics/stability_metrics.cpp
similarity index 68%
rename from evaluator/planning_evaluator/src/metrics/stability_metrics.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics/stability_metrics.cpp
index c963c5e46aa43..4d1c02faa406f 100644
--- a/evaluator/planning_evaluator/src/metrics/stability_metrics.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics/stability_metrics.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics/stability_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/stability_metrics.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <Eigen/Core>
 
@@ -41,7 +41,8 @@ Stat<double> calcFrechetDistance(const Trajectory & traj1, const Trajectory & tr
 
   for (size_t i = 0; i < traj1.points.size(); ++i) {
     for (size_t j = 0; j < traj2.points.size(); ++j) {
-      const double dist = tier4_autoware_utils::calcDistance2d(traj1.points[i], traj2.points[j]);
+      const double dist =
+        autoware::universe_utils::calcDistance2d(traj1.points[i], traj2.points[j]);
       if (i > 0 && j > 0) {
         ca(i, j) = std::max(std::min(ca(i - 1, j), std::min(ca(i - 1, j - 1), ca(i, j - 1))), dist);
       } else if (i > 0 /*&& j == 0*/) {
@@ -64,27 +65,29 @@ Stat<double> calcLateralDistance(const Trajectory & traj1, const Trajectory & tr
     return stat;
   }
   for (const auto & point : traj2.points) {
-    const auto p0 = tier4_autoware_utils::getPoint(point);
+    const auto p0 = autoware::universe_utils::getPoint(point);
     // find nearest segment
-    const size_t nearest_segment_idx = motion_utils::findNearestSegmentIndex(traj1.points, p0);
+    const size_t nearest_segment_idx =
+      autoware::motion_utils::findNearestSegmentIndex(traj1.points, p0);
     double dist;
     // distance to segment
     if (
       nearest_segment_idx == traj1.points.size() - 2 &&
-      motion_utils::calcLongitudinalOffsetToSegment(traj1.points, nearest_segment_idx, p0) >
-        tier4_autoware_utils::calcDistance2d(
+      autoware::motion_utils::calcLongitudinalOffsetToSegment(
+        traj1.points, nearest_segment_idx, p0) >
+        autoware::universe_utils::calcDistance2d(
           traj1.points[nearest_segment_idx], traj1.points[nearest_segment_idx + 1])) {
       // distance to last point
-      dist = tier4_autoware_utils::calcDistance2d(traj1.points.back(), p0);
+      dist = autoware::universe_utils::calcDistance2d(traj1.points.back(), p0);
     } else if (  // NOLINT
-      nearest_segment_idx == 0 &&
-      motion_utils::calcLongitudinalOffsetToSegment(traj1.points, nearest_segment_idx, p0) <= 0) {
+      nearest_segment_idx == 0 && autoware::motion_utils::calcLongitudinalOffsetToSegment(
+                                    traj1.points, nearest_segment_idx, p0) <= 0) {
       // distance to first point
-      dist = tier4_autoware_utils::calcDistance2d(traj1.points.front(), p0);
+      dist = autoware::universe_utils::calcDistance2d(traj1.points.front(), p0);
     } else {
       // orthogonal distance
-      const auto p1 = tier4_autoware_utils::getPoint(traj1.points[nearest_segment_idx]);
-      const auto p2 = tier4_autoware_utils::getPoint(traj1.points[nearest_segment_idx + 1]);
+      const auto p1 = autoware::universe_utils::getPoint(traj1.points[nearest_segment_idx]);
+      const auto p2 = autoware::universe_utils::getPoint(traj1.points[nearest_segment_idx + 1]);
       dist = std::abs((p2.x - p1.x) * (p1.y - p0.y) - (p1.x - p0.x) * (p2.y - p1.y)) /
              std::sqrt((p2.x - p1.x) * (p2.x - p1.x) + (p2.y - p1.y) * (p2.y - p1.y));
     }
diff --git a/evaluator/planning_evaluator/src/metrics/trajectory_metrics.cpp b/evaluator/autoware_planning_evaluator/src/metrics/trajectory_metrics.cpp
similarity index 94%
rename from evaluator/planning_evaluator/src/metrics/trajectory_metrics.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics/trajectory_metrics.cpp
index 53265872bffa8..4526865ced97d 100644
--- a/evaluator/planning_evaluator/src/metrics/trajectory_metrics.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics/trajectory_metrics.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics/trajectory_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/trajectory_metrics.hpp"
 
-#include "planning_evaluator/metrics/metrics_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/planning_evaluator/metrics/metrics_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 namespace planning_diagnostics
 {
 namespace metrics
 {
-using tier4_autoware_utils::calcCurvature;
-using tier4_autoware_utils::calcDistance2d;
+using autoware::universe_utils::calcCurvature;
+using autoware::universe_utils::calcDistance2d;
 
 Stat<double> calcTrajectoryInterval(const Trajectory & traj)
 {
diff --git a/evaluator/planning_evaluator/src/metrics_calculator.cpp b/evaluator/autoware_planning_evaluator/src/metrics_calculator.cpp
similarity index 88%
rename from evaluator/planning_evaluator/src/metrics_calculator.cpp
rename to evaluator/autoware_planning_evaluator/src/metrics_calculator.cpp
index 38113513dbad2..8658a666b4976 100644
--- a/evaluator/planning_evaluator/src/metrics_calculator.cpp
+++ b/evaluator/autoware_planning_evaluator/src/metrics_calculator.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/metrics_calculator.hpp"
+#include "autoware/planning_evaluator/metrics_calculator.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "planning_evaluator/metrics/deviation_metrics.hpp"
-#include "planning_evaluator/metrics/obstacle_metrics.hpp"
-#include "planning_evaluator/metrics/stability_metrics.hpp"
-#include "planning_evaluator/metrics/trajectory_metrics.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/planning_evaluator/metrics/deviation_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/obstacle_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/stability_metrics.hpp"
+#include "autoware/planning_evaluator/metrics/trajectory_metrics.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 namespace planning_diagnostics
 {
 std::optional<Stat<double>> MetricsCalculator::calculate(
@@ -122,7 +122,8 @@ Trajectory MetricsCalculator::getLookaheadTrajectory(
     return traj;
   }
 
-  const auto ego_index = motion_utils::findNearestSegmentIndex(traj.points, ego_pose_.position);
+  const auto ego_index =
+    autoware::motion_utils::findNearestSegmentIndex(traj.points, ego_pose_.position);
   Trajectory lookahead_traj;
   lookahead_traj.header = traj.header;
   double dist = 0.0;
@@ -131,7 +132,7 @@ Trajectory MetricsCalculator::getLookaheadTrajectory(
   auto prev_point_it = curr_point_it;
   while (curr_point_it != traj.points.end() && dist <= max_dist_m && time <= max_time_s) {
     lookahead_traj.points.push_back(*curr_point_it);
-    const auto d = tier4_autoware_utils::calcDistance2d(
+    const auto d = autoware::universe_utils::calcDistance2d(
       prev_point_it->pose.position, curr_point_it->pose.position);
     dist += d;
     if (prev_point_it->longitudinal_velocity_mps != 0.0) {
diff --git a/evaluator/planning_evaluator/src/motion_evaluator_node.cpp b/evaluator/autoware_planning_evaluator/src/motion_evaluator_node.cpp
similarity index 98%
rename from evaluator/planning_evaluator/src/motion_evaluator_node.cpp
rename to evaluator/autoware_planning_evaluator/src/motion_evaluator_node.cpp
index 9a103890d53ac..a5320ef28cbec 100644
--- a/evaluator/planning_evaluator/src/motion_evaluator_node.cpp
+++ b/evaluator/autoware_planning_evaluator/src/motion_evaluator_node.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/motion_evaluator_node.hpp"
+#include "autoware/planning_evaluator/motion_evaluator_node.hpp"
 
 #include <fstream>
 #include <iostream>
diff --git a/evaluator/planning_evaluator/src/planning_evaluator_node.cpp b/evaluator/autoware_planning_evaluator/src/planning_evaluator_node.cpp
similarity index 99%
rename from evaluator/planning_evaluator/src/planning_evaluator_node.cpp
rename to evaluator/autoware_planning_evaluator/src/planning_evaluator_node.cpp
index 039991d54a846..103e14c73f26d 100644
--- a/evaluator/planning_evaluator/src/planning_evaluator_node.cpp
+++ b/evaluator/autoware_planning_evaluator/src/planning_evaluator_node.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "planning_evaluator/planning_evaluator_node.hpp"
+#include "autoware/planning_evaluator/planning_evaluator_node.hpp"
 
 #include "boost/lexical_cast.hpp"
 
diff --git a/evaluator/planning_evaluator/test/test_planning_evaluator_node.cpp b/evaluator/autoware_planning_evaluator/test/test_planning_evaluator_node.cpp
similarity index 98%
rename from evaluator/planning_evaluator/test/test_planning_evaluator_node.cpp
rename to evaluator/autoware_planning_evaluator/test/test_planning_evaluator_node.cpp
index e87b5c8ad35b7..14f8338acfed4 100644
--- a/evaluator/planning_evaluator/test/test_planning_evaluator_node.cpp
+++ b/evaluator/autoware_planning_evaluator/test/test_planning_evaluator_node.cpp
@@ -18,7 +18,7 @@
 #include "rclcpp/time.hpp"
 #include "tf2_ros/transform_broadcaster.h"
 
-#include <planning_evaluator/planning_evaluator_node.hpp>
+#include <autoware/planning_evaluator/planning_evaluator_node.hpp>
 
 #include "autoware_perception_msgs/msg/predicted_objects.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -50,7 +50,8 @@ class EvalTest : public ::testing::Test
     rclcpp::init(0, nullptr);
 
     rclcpp::NodeOptions options;
-    const auto share_dir = ament_index_cpp::get_package_share_directory("planning_evaluator");
+    const auto share_dir =
+      ament_index_cpp::get_package_share_directory("autoware_planning_evaluator");
     options.arguments(
       {"--ros-args", "--params-file", share_dir + "/param/planning_evaluator.defaults.yaml"});
 
diff --git a/evaluator/control_evaluator/include/control_evaluator/control_evaluator_node.hpp b/evaluator/control_evaluator/include/control_evaluator/control_evaluator_node.hpp
deleted file mode 100644
index 3a3ba47d88e03..0000000000000
--- a/evaluator/control_evaluator/include/control_evaluator/control_evaluator_node.hpp
+++ /dev/null
@@ -1,61 +0,0 @@
-// Copyright 2024 Tier IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#ifndef CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
-#define CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
-
-#include "rclcpp/rclcpp.hpp"
-
-#include "diagnostic_msgs/msg/diagnostic_array.hpp"
-
-#include <array>
-#include <deque>
-#include <memory>
-#include <string>
-#include <vector>
-
-namespace control_diagnostics
-{
-
-using diagnostic_msgs::msg::DiagnosticArray;
-using diagnostic_msgs::msg::DiagnosticStatus;
-
-/**
- * @brief Node for control evaluation
- */
-class controlEvaluatorNode : public rclcpp::Node
-{
-public:
-  explicit controlEvaluatorNode(const rclcpp::NodeOptions & node_options);
-
-  /**
-   * @brief publish the given metric statistic
-   */
-  DiagnosticStatus generateDiagnosticStatus(const bool is_emergency_brake) const;
-  void onDiagnostics(const DiagnosticArray::ConstSharedPtr diag_msg);
-  void onTimer();
-
-private:
-  rclcpp::Subscription<DiagnosticArray>::SharedPtr control_diag_sub_;
-  rclcpp::Publisher<DiagnosticArray>::SharedPtr metrics_pub_;
-
-  // Calculator
-  // Metrics
-  std::deque<rclcpp::Time> stamps_;
-  DiagnosticArray metrics_msg_;
-  rclcpp::TimerBase::SharedPtr timer_;
-};
-}  // namespace control_diagnostics
-
-#endif  // CONTROL_EVALUATOR__CONTROL_EVALUATOR_NODE_HPP_
diff --git a/evaluator/control_evaluator/launch/control_evaluator.launch.xml b/evaluator/control_evaluator/launch/control_evaluator.launch.xml
deleted file mode 100644
index 75012791888a6..0000000000000
--- a/evaluator/control_evaluator/launch/control_evaluator.launch.xml
+++ /dev/null
@@ -1,12 +0,0 @@
-<launch>
-  <arg name="input/diagnostics" default="/diagnostics"/>
-
-  <!-- control evaluator -->
-  <group>
-    <node name="control_evaluator" exec="control_evaluator" pkg="control_evaluator">
-      <param from="$(find-pkg-share control_evaluator)/param/control_evaluator.defaults.yaml"/>
-      <remap from="~/input/diagnostics" to="$(var input/diagnostics)"/>
-      <remap from="~/metrics" to="/diagnostic/control_evaluator/metrics"/>
-    </node>
-  </group>
-</launch>
diff --git a/evaluator/control_evaluator/src/control_evaluator_node.cpp b/evaluator/control_evaluator/src/control_evaluator_node.cpp
deleted file mode 100644
index d575a35a2389f..0000000000000
--- a/evaluator/control_evaluator/src/control_evaluator_node.cpp
+++ /dev/null
@@ -1,86 +0,0 @@
-// Copyright 2024 Tier IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "control_evaluator/control_evaluator_node.hpp"
-
-#include <fstream>
-#include <iostream>
-#include <map>
-#include <memory>
-#include <string>
-#include <utility>
-#include <vector>
-
-namespace control_diagnostics
-{
-controlEvaluatorNode::controlEvaluatorNode(const rclcpp::NodeOptions & node_options)
-: Node("control_evaluator", node_options)
-{
-  using std::placeholders::_1;
-
-  control_diag_sub_ = create_subscription<DiagnosticArray>(
-    "~/input/diagnostics", 1, std::bind(&controlEvaluatorNode::onDiagnostics, this, _1));
-
-  // Publisher
-  metrics_pub_ = create_publisher<DiagnosticArray>("~/metrics", 1);
-
-  // Timer callback to publish evaluator diagnostics
-  using namespace std::literals::chrono_literals;
-  timer_ =
-    rclcpp::create_timer(this, get_clock(), 100ms, std::bind(&controlEvaluatorNode::onTimer, this));
-}
-
-DiagnosticStatus controlEvaluatorNode::generateDiagnosticStatus(const bool is_emergency_brake) const
-{
-  DiagnosticStatus status;
-  status.level = status.OK;
-  status.name = "autonomous_emergency_braking";
-  diagnostic_msgs::msg::KeyValue key_value;
-  key_value.key = "decision";
-  key_value.value = (is_emergency_brake) ? "stop" : "none";
-  status.values.push_back(key_value);
-  return status;
-}
-
-void controlEvaluatorNode::onTimer()
-{
-  if (!metrics_msg_.status.empty()) {
-    metrics_pub_->publish(metrics_msg_);
-    metrics_msg_.status.clear();
-  }
-}
-
-void controlEvaluatorNode::onDiagnostics(const DiagnosticArray::ConstSharedPtr diag_msg)
-{
-  const auto start = now();
-  const auto aeb_status =
-    std::find_if(diag_msg->status.begin(), diag_msg->status.end(), [](const auto & status) {
-      const bool aeb_found = status.name.find("autonomous_emergency_braking") != std::string::npos;
-      return aeb_found;
-    });
-
-  if (aeb_status == diag_msg->status.end()) return;
-
-  const bool is_emergency_brake = (aeb_status->level == DiagnosticStatus::ERROR);
-  metrics_msg_.header.stamp = now();
-  metrics_msg_.status.emplace_back(generateDiagnosticStatus(is_emergency_brake));
-
-  const auto runtime = (now() - start).seconds();
-  RCLCPP_DEBUG(get_logger(), "control evaluation calculation time: %2.2f ms", runtime * 1e3);
-}
-
-}  // namespace control_diagnostics
-
-#include "rclcpp_components/register_node_macro.hpp"
-RCLCPP_COMPONENTS_REGISTER_NODE(control_diagnostics::controlEvaluatorNode)
diff --git a/evaluator/kinematic_evaluator/include/kinematic_evaluator/parameters.hpp b/evaluator/kinematic_evaluator/include/kinematic_evaluator/parameters.hpp
index a2de980336e5d..dada46f44292f 100644
--- a/evaluator/kinematic_evaluator/include/kinematic_evaluator/parameters.hpp
+++ b/evaluator/kinematic_evaluator/include/kinematic_evaluator/parameters.hpp
@@ -27,7 +27,7 @@ namespace kinematic_diagnostics
 struct Parameters
 {
   std::array<bool, static_cast<size_t>(Metric::SIZE)> metrics{};  // default values to false
-};                                                                // struct Parameters
+};  // struct Parameters
 
 }  // namespace kinematic_diagnostics
 
diff --git a/evaluator/kinematic_evaluator/package.xml b/evaluator/kinematic_evaluator/package.xml
index 1b62b06e57c9f..3642e0cf94604 100644
--- a/evaluator/kinematic_evaluator/package.xml
+++ b/evaluator/kinematic_evaluator/package.xml
@@ -18,6 +18,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
@@ -26,7 +27,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/evaluator/kinematic_evaluator/test/test_kinematic_evaluator_node.cpp b/evaluator/kinematic_evaluator/test/test_kinematic_evaluator_node.cpp
index 314bace43eb59..51e6113aea999 100644
--- a/evaluator/kinematic_evaluator/test/test_kinematic_evaluator_node.cpp
+++ b/evaluator/kinematic_evaluator/test/test_kinematic_evaluator_node.cpp
@@ -67,9 +67,7 @@ class EvalTest : public ::testing::Test
     tf_broadcaster_ = std::make_unique<tf2_ros::TransformBroadcaster>(dummy_node);
   }
 
-  ~EvalTest() override
-  { /*rclcpp::shutdown();*/
-  }
+  ~EvalTest() override { /*rclcpp::shutdown();*/ }
 
   void setTargetMetric(kinematic_diagnostics::Metric metric)
   {
diff --git a/evaluator/localization_evaluator/include/localization_evaluator/parameters.hpp b/evaluator/localization_evaluator/include/localization_evaluator/parameters.hpp
index 46cdf2e77bf11..d8328fe62b3ed 100644
--- a/evaluator/localization_evaluator/include/localization_evaluator/parameters.hpp
+++ b/evaluator/localization_evaluator/include/localization_evaluator/parameters.hpp
@@ -27,7 +27,7 @@ namespace localization_diagnostics
 struct Parameters
 {
   std::array<bool, static_cast<size_t>(Metric::SIZE)> metrics{};  // default values to false
-};                                                                // struct Parameters
+};  // struct Parameters
 
 }  // namespace localization_diagnostics
 
diff --git a/evaluator/localization_evaluator/package.xml b/evaluator/localization_evaluator/package.xml
index ac52f9fe94d5e..8d3b788a2b8d9 100644
--- a/evaluator/localization_evaluator/package.xml
+++ b/evaluator/localization_evaluator/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
@@ -22,7 +23,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/evaluator/perception_online_evaluator/include/perception_online_evaluator/utils/marker_utils.hpp b/evaluator/perception_online_evaluator/include/perception_online_evaluator/utils/marker_utils.hpp
index b05bb5e1d8ad3..9c49605d944b5 100644
--- a/evaluator/perception_online_evaluator/include/perception_online_evaluator/utils/marker_utils.hpp
+++ b/evaluator/perception_online_evaluator/include/perception_online_evaluator/utils/marker_utils.hpp
@@ -30,11 +30,11 @@
 namespace marker_utils
 {
 
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObject;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using std_msgs::msg::ColorRGBA;
-using tier4_autoware_utils::Polygon2d;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
 
diff --git a/evaluator/perception_online_evaluator/package.xml b/evaluator/perception_online_evaluator/package.xml
index d64d3a5ec4957..082a9bc2d1366 100644
--- a/evaluator/perception_online_evaluator/package.xml
+++ b/evaluator/perception_online_evaluator/package.xml
@@ -17,14 +17,15 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>glog</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>object_recognition_utils</depend>
   <depend>pluginlib</depend>
@@ -32,7 +33,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/evaluator/perception_online_evaluator/src/metrics/detection_count.cpp b/evaluator/perception_online_evaluator/src/metrics/detection_count.cpp
index 047d278334eb1..5859bf055d4aa 100644
--- a/evaluator/perception_online_evaluator/src/metrics/detection_count.cpp
+++ b/evaluator/perception_online_evaluator/src/metrics/detection_count.cpp
@@ -14,17 +14,17 @@
 
 #include "perception_online_evaluator/metrics/detection_count.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
 #include "perception_online_evaluator/utils/objects_filtering.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 namespace perception_diagnostics
 {
 namespace metrics
 {
-using tier4_autoware_utils::toHexString;
+using autoware::universe_utils::toHexString;
 
 bool isCountObject(
   const std::uint8_t classification, const std::unordered_map<uint8_t, ObjectParameter> & params)
diff --git a/evaluator/perception_online_evaluator/src/metrics/deviation_metrics.cpp b/evaluator/perception_online_evaluator/src/metrics/deviation_metrics.cpp
index 7a9435444c065..d5ac88613fa83 100644
--- a/evaluator/perception_online_evaluator/src/metrics/deviation_metrics.cpp
+++ b/evaluator/perception_online_evaluator/src/metrics/deviation_metrics.cpp
@@ -14,10 +14,10 @@
 
 #include "perception_online_evaluator/metrics/deviation_metrics.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/geometry/pose_deviation.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/pose_deviation.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 namespace perception_diagnostics
 {
@@ -30,9 +30,10 @@ double calcLateralDeviation(const std::vector<Pose> & ref_path, const Pose & tar
     return 0.0;
   }
 
-  const size_t nearest_index = motion_utils::findNearestIndex(ref_path, target_pose.position);
+  const size_t nearest_index =
+    autoware::motion_utils::findNearestIndex(ref_path, target_pose.position);
   return std::abs(
-    tier4_autoware_utils::calcLateralDeviation(ref_path[nearest_index], target_pose.position));
+    autoware::universe_utils::calcLateralDeviation(ref_path[nearest_index], target_pose.position));
 }
 
 double calcYawDeviation(const std::vector<Pose> & ref_path, const Pose & target_pose)
@@ -41,8 +42,9 @@ double calcYawDeviation(const std::vector<Pose> & ref_path, const Pose & target_
     return 0.0;
   }
 
-  const size_t nearest_index = motion_utils::findNearestIndex(ref_path, target_pose.position);
-  return std::abs(tier4_autoware_utils::calcYawDeviation(ref_path[nearest_index], target_pose));
+  const size_t nearest_index =
+    autoware::motion_utils::findNearestIndex(ref_path, target_pose.position);
+  return std::abs(autoware::universe_utils::calcYawDeviation(ref_path[nearest_index], target_pose));
 }
 
 std::vector<double> calcPredictedPathDeviation(
@@ -54,9 +56,9 @@ std::vector<double> calcPredictedPathDeviation(
     return {};
   }
   for (const Pose & p : pred_path.path) {
-    const size_t nearest_index = motion_utils::findNearestIndex(ref_path, p.position);
+    const size_t nearest_index = autoware::motion_utils::findNearestIndex(ref_path, p.position);
     deviations.push_back(
-      tier4_autoware_utils::calcDistance2d(ref_path[nearest_index].position, p.position));
+      autoware::universe_utils::calcDistance2d(ref_path[nearest_index].position, p.position));
   }
 
   return deviations;
diff --git a/evaluator/perception_online_evaluator/src/metrics_calculator.cpp b/evaluator/perception_online_evaluator/src/metrics_calculator.cpp
index cc455445ca9f8..212af8711a62e 100644
--- a/evaluator/perception_online_evaluator/src/metrics_calculator.cpp
+++ b/evaluator/perception_online_evaluator/src/metrics_calculator.cpp
@@ -14,17 +14,17 @@
 
 #include "perception_online_evaluator/metrics_calculator.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_recognition_utils/object_classification.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 namespace perception_diagnostics
 {
+using autoware::universe_utils::inverseTransformPoint;
 using object_recognition_utils::convertLabelToString;
-using tier4_autoware_utils::inverseTransformPoint;
 
 std::optional<MetricsMap> MetricsCalculator::calculate(const Metric & metric) const
 {
@@ -238,7 +238,7 @@ MetricStatMap MetricsCalculator::calcLateralDeviationMetrics(
     Stat<double> stat{};
     const auto stamp = rclcpp::Time(objects.header.stamp);
     for (const auto & object : objects.objects) {
-      const auto uuid = tier4_autoware_utils::toHexString(object.object_id);
+      const auto uuid = autoware::universe_utils::toHexString(object.object_id);
       if (!hasPassedTime(uuid, stamp)) {
         continue;
       }
@@ -267,7 +267,7 @@ MetricStatMap MetricsCalculator::calcYawDeviationMetrics(
     Stat<double> stat{};
     const auto stamp = rclcpp::Time(objects.header.stamp);
     for (const auto & object : objects.objects) {
-      const auto uuid = tier4_autoware_utils::toHexString(object.object_id);
+      const auto uuid = autoware::universe_utils::toHexString(object.object_id);
       if (!hasPassedTime(uuid, stamp)) {
         continue;
       }
@@ -326,7 +326,7 @@ PredictedPathDeviationMetrics MetricsCalculator::calcPredictedPathDeviationMetri
 
   const auto stamp = objects.header.stamp;
   for (const auto & object : objects.objects) {
-    const auto uuid = tier4_autoware_utils::toHexString(object.object_id);
+    const auto uuid = autoware::universe_utils::toHexString(object.object_id);
     const auto predicted_paths = object.kinematics.predicted_paths;
     for (size_t i = 0; i < predicted_paths.size(); i++) {
       const auto predicted_path = predicted_paths[i];
@@ -350,7 +350,7 @@ PredictedPathDeviationMetrics MetricsCalculator::calcPredictedPathDeviationMetri
         const auto history_pose = history_object.kinematics.initial_pose_with_covariance.pose;
         const Pose & p = predicted_path.path[j];
         const double distance =
-          tier4_autoware_utils::calcDistance2d(p.position, history_pose.position);
+          autoware::universe_utils::calcDistance2d(p.position, history_pose.position);
         deviation_map_for_paths[uuid][i].push_back(distance);
 
         // Save debug information
@@ -424,7 +424,7 @@ MetricStatMap MetricsCalculator::calcYawRateMetrics(const ClassObjectsMap & clas
     const auto stamp = rclcpp::Time(objects.header.stamp);
 
     for (const auto & object : objects.objects) {
-      const auto uuid = tier4_autoware_utils::toHexString(object.object_id);
+      const auto uuid = autoware::universe_utils::toHexString(object.object_id);
       if (!hasPassedTime(uuid, stamp)) {
         continue;
       }
@@ -444,7 +444,7 @@ MetricStatMap MetricsCalculator::calcYawRateMetrics(const ClassObjectsMap & clas
         tf2::getYaw(previous_object.kinematics.initial_pose_with_covariance.pose.orientation);
       // Calculate the absolute difference between current_yaw and previous_yaw
       const double yaw_diff =
-        std::abs(tier4_autoware_utils::normalizeRadian(current_yaw - previous_yaw));
+        std::abs(autoware::universe_utils::normalizeRadian(current_yaw - previous_yaw));
       // The yaw difference is flipped if the angle is larger than 90 degrees
       const double yaw_diff_flip_fixed = std::min(yaw_diff, M_PI - yaw_diff);
       const double yaw_rate = yaw_diff_flip_fixed / time_diff;
@@ -494,7 +494,7 @@ void MetricsCalculator::setPredictedObjects(
 
   // store objects to check deviation
   {
-    using tier4_autoware_utils::toHexString;
+    using autoware::universe_utils::toHexString;
     for (const auto & object : objects.objects) {
       std::string uuid = toHexString(object.object_id);
       updateObjects(uuid, current_stamp_, object);
@@ -557,7 +557,7 @@ void MetricsCalculator::updateHistoryPath()
         const auto current_pose = object.kinematics.initial_pose_with_covariance.pose;
         const auto prev_pose = prev_object.kinematics.initial_pose_with_covariance.pose;
         const auto velocity =
-          tier4_autoware_utils::calcDistance2d(current_pose.position, prev_pose.position) /
+          autoware::universe_utils::calcDistance2d(current_pose.position, prev_pose.position) /
           time_diff;
         if (velocity < parameters_->stopped_velocity_threshold) {
           continue;
@@ -603,9 +603,9 @@ std::vector<Pose> MetricsCalculator::generateHistoryPathWithPrev(
 std::vector<Pose> MetricsCalculator::averageFilterPath(
   const std::vector<Pose> & path, const size_t window_size) const
 {
-  using tier4_autoware_utils::calcAzimuthAngle;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::calcAzimuthAngle;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::createQuaternionFromYaw;
 
   std::vector<Pose> filtered_path;
   filtered_path.reserve(path.size());  // Reserve space to avoid reallocations
@@ -645,7 +645,7 @@ std::vector<Pose> MetricsCalculator::averageFilterPath(
     if (i > 0) {
       const double azimuth = calcAzimuthAngle(path.at(i - 1).position, path.at(i).position);
       const double yaw = tf2::getYaw(path.at(i).orientation);
-      if (tier4_autoware_utils::normalizeRadian(yaw - azimuth) > M_PI_2) {
+      if (autoware::universe_utils::normalizeRadian(yaw - azimuth) > M_PI_2) {
         continue;
       }
     }
@@ -662,7 +662,7 @@ std::vector<Pose> MetricsCalculator::averageFilterPath(
       const double azimuth_to_prev = calcAzimuthAngle((it - 2)->position, (it - 1)->position);
       const double azimuth_to_current = calcAzimuthAngle((it - 1)->position, it->position);
       if (
-        std::abs(tier4_autoware_utils::normalizeRadian(azimuth_to_prev - azimuth_to_current)) >
+        std::abs(autoware::universe_utils::normalizeRadian(azimuth_to_prev - azimuth_to_current)) >
         M_PI_2) {
         it = filtered_path.erase(it);
         continue;
diff --git a/evaluator/perception_online_evaluator/src/perception_online_evaluator_node.cpp b/evaluator/perception_online_evaluator/src/perception_online_evaluator_node.cpp
index 2933afdab3d08..63d635af4ffdf 100644
--- a/evaluator/perception_online_evaluator/src/perception_online_evaluator_node.cpp
+++ b/evaluator/perception_online_evaluator/src/perception_online_evaluator_node.cpp
@@ -14,12 +14,12 @@
 
 #include "perception_online_evaluator/perception_online_evaluator_node.hpp"
 
+#include "autoware/universe_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "perception_online_evaluator/utils/marker_utils.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include "boost/lexical_cast.hpp"
 
@@ -156,7 +156,7 @@ void PerceptionOnlineEvaluatorNode::publishDebugMarker()
     for (auto & marker : added.markers) {
       marker.lifetime = rclcpp::Duration::from_seconds(1.5);
     }
-    tier4_autoware_utils::appendMarkerArray(added, &marker);
+    autoware::universe_utils::appendMarkerArray(added, &marker);
   };
 
   const auto & p = parameters_->debug_marker_parameters;
@@ -236,7 +236,7 @@ void PerceptionOnlineEvaluatorNode::publishDebugMarker()
 rcl_interfaces::msg::SetParametersResult PerceptionOnlineEvaluatorNode::onParameter(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   auto & p = parameters_;
 
@@ -305,8 +305,8 @@ rcl_interfaces::msg::SetParametersResult PerceptionOnlineEvaluatorNode::onParame
 
 void PerceptionOnlineEvaluatorNode::initParameter()
 {
-  using tier4_autoware_utils::getOrDeclareParameter;
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::getOrDeclareParameter;
+  using autoware::universe_utils::updateParam;
 
   auto & p = parameters_;
 
diff --git a/evaluator/perception_online_evaluator/src/utils/marker_utils.cpp b/evaluator/perception_online_evaluator/src/utils/marker_utils.cpp
index eddeadc331101..a7a697c4efff6 100644
--- a/evaluator/perception_online_evaluator/src/utils/marker_utils.cpp
+++ b/evaluator/perception_online_evaluator/src/utils/marker_utils.cpp
@@ -14,11 +14,11 @@
 
 #include "perception_online_evaluator/utils/marker_utils.hpp"
 
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include <lanelet2_core/primitives/CompoundPolygon.h>
 #include <lanelet2_core/primitives/Lanelet.h>
@@ -28,13 +28,13 @@
 
 namespace marker_utils
 {
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using std_msgs::msg::ColorRGBA;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 void addFootprintMarker(
@@ -46,13 +46,13 @@ void addFootprintMarker(
   const double base_to_rear = vehicle_info.rear_overhang_m;
 
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, -half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, -half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, -half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, -half_width, 0.0).position);
   marker.points.push_back(marker.points.front());
 }
 
@@ -167,7 +167,7 @@ std_msgs::msg::ColorRGBA createColorFromString(const std::string & str)
   const auto r = (hash & 0xFF) / 255.0;
   const auto g = ((hash >> 8) & 0xFF) / 255.0;
   const auto b = ((hash >> 16) & 0xFF) / 255.0;
-  return tier4_autoware_utils::createMarkerColor(r, g, b, 0.5);
+  return autoware::universe_utils::createMarkerColor(r, g, b, 0.5);
 }
 
 MarkerArray createObjectPolygonMarkerArray(
@@ -182,7 +182,7 @@ MarkerArray createObjectPolygonMarkerArray(
 
   const double z = object.kinematics.initial_pose_with_covariance.pose.position.z;
   const double height = object.shape.dimensions.z;
-  const auto polygon = tier4_autoware_utils::toPolygon2d(
+  const auto polygon = autoware::universe_utils::toPolygon2d(
     object.kinematics.initial_pose_with_covariance.pose, object.shape);
   for (const auto & p : polygon.outer()) {
     marker.points.push_back(createPoint(p.x(), p.y(), z - height / 2));
diff --git a/evaluator/perception_online_evaluator/test/test_perception_online_evaluator_node.cpp b/evaluator/perception_online_evaluator/test/test_perception_online_evaluator_node.cpp
index 3db487f3167ae..e2ab22be2b61b 100644
--- a/evaluator/perception_online_evaluator/test/test_perception_online_evaluator_node.cpp
+++ b/evaluator/perception_online_evaluator/test/test_perception_online_evaluator_node.cpp
@@ -16,8 +16,8 @@
 #include "rclcpp/time.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <perception_online_evaluator/perception_online_evaluator_node.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <autoware_perception_msgs/msg/object_classification.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -43,7 +43,7 @@ using ObjectClassification = autoware_perception_msgs::msg::ObjectClassification
 using nav_msgs::msg::Odometry;
 using TFMessage = tf2_msgs::msg::TFMessage;
 
-using tier4_autoware_utils::generateUUID;
+using autoware::universe_utils::generateUUID;
 
 constexpr double epsilon = 1e-6;
 
diff --git a/evaluator/planning_evaluator/CMakeLists.txt b/evaluator/planning_evaluator/CMakeLists.txt
deleted file mode 100644
index 4b643b3c85e44..0000000000000
--- a/evaluator/planning_evaluator/CMakeLists.txt
+++ /dev/null
@@ -1,43 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-project(planning_evaluator)
-
-find_package(autoware_cmake REQUIRED)
-autoware_package()
-
-find_package(pluginlib REQUIRED)
-
-ament_auto_add_library(${PROJECT_NAME}_node SHARED
-  src/metrics_calculator.cpp
-  src/${PROJECT_NAME}_node.cpp
-  src/motion_evaluator_node.cpp
-  src/metrics/deviation_metrics.cpp
-  src/metrics/metrics_utils.cpp
-  src/metrics/obstacle_metrics.cpp
-  src/metrics/stability_metrics.cpp
-  src/metrics/trajectory_metrics.cpp
-)
-
-rclcpp_components_register_node(${PROJECT_NAME}_node
-  PLUGIN "planning_diagnostics::PlanningEvaluatorNode"
-  EXECUTABLE ${PROJECT_NAME}
-)
-
-rclcpp_components_register_node(${PROJECT_NAME}_node
-  PLUGIN "planning_diagnostics::MotionEvaluatorNode"
-  EXECUTABLE motion_evaluator
-)
-
-if(BUILD_TESTING)
-  ament_add_ros_isolated_gtest(test_${PROJECT_NAME}
-    test/test_planning_evaluator_node.cpp
-  )
-  target_link_libraries(test_${PROJECT_NAME}
-    ${PROJECT_NAME}_node
-  )
-endif()
-
-ament_auto_package(
-  INSTALL_TO_SHARE
-    param
-    launch
-)
diff --git a/launch/tier4_control_launch/launch/control.launch.py b/launch/tier4_control_launch/launch/control.launch.py
index 02ad160164c32..1cf3cb5b44656 100644
--- a/launch/tier4_control_launch/launch/control.launch.py
+++ b/launch/tier4_control_launch/launch/control.launch.py
@@ -148,6 +148,7 @@ def launch_setup(context, *args, **kwargs):
             ("~/input/velocity", "/vehicle/status/velocity_status"),
             ("~/input/imu", "/sensing/imu/imu_data"),
             ("~/input/odometry", "/localization/kinematic_state"),
+            ("~/input/objects", "/perception/object_recognition/objects"),
             (
                 "~/input/predicted_trajectory",
                 "/control/trajectory_follower/lateral/predicted_trajectory",
@@ -374,12 +375,14 @@ def launch_setup(context, *args, **kwargs):
 
     # control evaluator
     control_evaluator_component = ComposableNode(
-        package="control_evaluator",
+        package="autoware_control_evaluator",
         plugin="control_diagnostics::controlEvaluatorNode",
         name="control_evaluator",
         remappings=[
             ("~/input/diagnostics", "/diagnostics"),
-            ("~/output/metrics", "~/metrics"),
+            ("~/input/odometry", "/localization/kinematic_state"),
+            ("~/input/trajectory", "/planning/scenario_planning/trajectory"),
+            ("~/metrics", "/diagnostic/control_evaluator/metrics"),
         ],
     )
 
diff --git a/launch/tier4_control_launch/package.xml b/launch/tier4_control_launch/package.xml
index 699c39f8afa63..cf94e37955516 100644
--- a/launch/tier4_control_launch/package.xml
+++ b/launch/tier4_control_launch/package.xml
@@ -11,13 +11,13 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <exec_depend>autoware_control_evaluator</exec_depend>
   <exec_depend>autoware_external_cmd_converter</exec_depend>
   <exec_depend>autoware_external_cmd_selector</exec_depend>
   <exec_depend>autoware_lane_departure_checker</exec_depend>
   <exec_depend>autoware_shift_decider</exec_depend>
   <exec_depend>autoware_trajectory_follower_node</exec_depend>
   <exec_depend>autoware_vehicle_cmd_gate</exec_depend>
-  <exec_depend>control_evaluator</exec_depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/launch/tier4_localization_launch/launch/pose_twist_estimator/ar_tag_based_localizer.launch.xml b/launch/tier4_localization_launch/launch/pose_twist_estimator/ar_tag_based_localizer.launch.xml
index 225c7ab9d1146..e3ee69fb02b20 100644
--- a/launch/tier4_localization_launch/launch/pose_twist_estimator/ar_tag_based_localizer.launch.xml
+++ b/launch/tier4_localization_launch/launch/pose_twist_estimator/ar_tag_based_localizer.launch.xml
@@ -3,7 +3,7 @@
   <group>
     <arg name="input_image"/>
 
-    <include file="$(find-pkg-share ar_tag_based_localizer)/launch/ar_tag_based_localizer.launch.xml">
+    <include file="$(find-pkg-share autoware_ar_tag_based_localizer)/launch/ar_tag_based_localizer.launch.xml">
       <arg name="input_lanelet2_map" value="/map/vector_map"/>
       <arg name="input_image" value="$(var input_image)"/>
       <arg name="input_camera_info" value="/sensing/camera/traffic_light/camera_info"/>
diff --git a/launch/tier4_localization_launch/package.xml b/launch/tier4_localization_launch/package.xml
index d0046acf294b5..150744bbae4a7 100644
--- a/launch/tier4_localization_launch/package.xml
+++ b/launch/tier4_localization_launch/package.xml
@@ -18,8 +18,8 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
-  <exec_depend>ar_tag_based_localizer</exec_depend>
   <exec_depend>automatic_pose_initializer</exec_depend>
+  <exec_depend>autoware_ar_tag_based_localizer</exec_depend>
   <exec_depend>eagleye_geo_pose_fusion</exec_depend>
   <exec_depend>eagleye_gnss_converter</exec_depend>
   <exec_depend>eagleye_rt</exec_depend>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detection.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/detection.launch.xml
index 7e389f5790051..228b4c89f95d3 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/detection.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/detection.launch.xml
@@ -1,200 +1,280 @@
 <?xml version="1.0"?>
 <launch>
-  <!-- Interface parameters -->
-  <arg name="mode" default="lidar" description="options: `camera_lidar_radar_fusion`, `camera_lidar_fusion`, `lidar_radar_fusion`, `lidar` or `radar`"/>
+  <!-- Pipeline junctions -->
+  <arg name="mode" description="options: `camera_lidar_radar_fusion`, `camera_lidar_fusion`, `lidar_radar_fusion`, `lidar` or `radar`"/>
+  <arg name="lidar_detection_model" description="options: `transfusion`, `centerpoint`, `apollo`, `pointpainting`, `clustering`"/>
+  <arg name="use_object_filter" description="use object filter"/>
+  <arg name="objects_filter_method" description="options: `lanelet_filter` or `position_filter`"/>
+  <arg name="use_pointcloud_map" description="use pointcloud map filter"/>
+  <arg name="use_detection_by_tracker"/>
+  <arg name="use_validator" description="use obstacle_pointcloud based validator"/>
+  <arg name="objects_validation_method" description="options: `obstacle_pointcloud` or `occupancy_grid`"/>
+  <arg name="use_low_intensity_cluster_filter"/>
 
-  <!-- Lidar parameters -->
+  <!-- Lidar interfaces -->
   <arg name="input/pointcloud"/>
-  <arg name="lidar_detection_model" default="centerpoint" description="options: `transfusion`, `centerpoint`, `apollo`, `pointpainting`, `clustering`"/>
-  <arg name="use_object_filter" default="true" description="use object filter"/>
-  <arg name="pointcloud_container_name" default="pointcloud_container"/>
+  <arg name="input/pointcloud_map/pointcloud" default="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud" default="/perception/obstacle_segmentation/pointcloud"/>
+  <arg name="node/pointcloud_container"/>
 
-  <!-- Camera parameters -->
-  <arg name="image_raw0" default="/image_raw" description="image raw topic name"/>
-  <arg name="camera_info0" default="/camera_info" description="camera info topic name"/>
-  <arg name="image_raw1" default=""/>
-  <arg name="camera_info1" default=""/>
-  <arg name="image_raw2" default=""/>
-  <arg name="camera_info2" default=""/>
-  <arg name="image_raw3" default=""/>
-  <arg name="camera_info3" default=""/>
-  <arg name="image_raw4" default=""/>
-  <arg name="camera_info4" default=""/>
-  <arg name="image_raw5" default=""/>
-  <arg name="camera_info5" default=""/>
-  <arg name="image_raw6" default=""/>
-  <arg name="camera_info6" default=""/>
-  <arg name="image_raw7" default=""/>
-  <arg name="camera_info7" default=""/>
-  <arg name="image_number" default="1" description="choose image raw number(1-8)"/>
+  <!-- Camera interfaces -->
+  <arg name="number_of_cameras"/>
+  <arg name="input/camera0/image"/>
+  <arg name="input/camera0/info"/>
+  <arg name="input/camera0/rois"/>
+  <arg name="input/camera1/image"/>
+  <arg name="input/camera1/info"/>
+  <arg name="input/camera1/rois"/>
+  <arg name="input/camera2/image"/>
+  <arg name="input/camera2/info"/>
+  <arg name="input/camera2/rois"/>
+  <arg name="input/camera3/image"/>
+  <arg name="input/camera3/info"/>
+  <arg name="input/camera3/rois"/>
+  <arg name="input/camera4/image"/>
+  <arg name="input/camera4/info"/>
+  <arg name="input/camera4/rois"/>
+  <arg name="input/camera5/image"/>
+  <arg name="input/camera5/info"/>
+  <arg name="input/camera5/rois"/>
+  <arg name="input/camera6/image"/>
+  <arg name="input/camera6/info"/>
+  <arg name="input/camera6/rois"/>
+  <arg name="input/camera7/image"/>
+  <arg name="input/camera7/info"/>
+  <arg name="input/camera7/rois"/>
 
-  <!-- Radar parameters -->
-  <arg name="input/radar" default="/sensing/radar/detected_objects"/>
+  <!-- Radar interfaces -->
+  <arg name="input/radar"/>
 
-  <!-- Camera-Lidar-Radar fusion based detection -->
-  <group if="$(eval '&quot;$(var mode)&quot;==&quot;camera_lidar_radar_fusion&quot;')">
+  <!-- Module switching -->
+  <arg name="switch/detector/camera_lidar" default="false"/>
+  <arg name="switch/detector/lidar_dnn" default="false"/>
+  <arg name="switch/detector/lidar_rule" default="false"/>
+  <arg name="switch/detector/radar" default="false"/>
+  <arg name="switch/detector/radar_only" default="false"/>
+  <arg name="switch/detector/tracker_based" default="false"/>
+  <let name="switch/detector/tracker_based" value="true" if="$(var use_detection_by_tracker)"/>
+
+  <arg name="switch/merger/camera_lidar_radar" default="false"/>
+  <arg name="switch/merger/camera_lidar" default="false"/>
+  <arg name="switch/merger/lidar_radar" default="false"/>
+  <arg name="switch/merger/lidar" default="false"/>
+
+  <group scoped="false" if="$(eval '&quot;$(var mode)&quot;==&quot;camera_lidar_radar_fusion&quot;')">
+    <let name="switch/detector/camera_lidar" value="true"/>
+    <let name="switch/detector/lidar_dnn" value="true"/>
+    <let name="switch/detector/radar" value="true"/>
+    <let name="switch/merger/camera_lidar_radar" value="true"/>
+  </group>
+  <group scoped="false" if="$(eval '&quot;$(var mode)&quot;==&quot;camera_lidar_fusion&quot;')">
+    <let name="switch/detector/camera_lidar" value="true"/>
+    <let name="switch/detector/lidar_dnn" value="true"/>
+    <let name="switch/merger/camera_lidar" value="true"/>
+  </group>
+  <group scoped="false" if="$(eval '&quot;$(var mode)&quot;==&quot;lidar_radar_fusion&quot;')">
+    <let name="switch/detector/lidar_dnn" value="true"/>
+    <let name="switch/detector/lidar_rule" value="true"/>
+    <let name="switch/detector/radar" value="true"/>
+    <let name="switch/merger/lidar_radar" value="true"/>
+  </group>
+  <group scoped="false" if="$(eval '&quot;$(var mode)&quot;==&quot;lidar&quot;')">
+    <let name="switch/detector/lidar_dnn" value="true"/>
+    <let name="switch/detector/lidar_rule" value="true"/>
+    <let name="switch/merger/lidar" value="true"/>
+  </group>
+  <group scoped="false" if="$(eval '&quot;$(var mode)&quot;==&quot;radar&quot;')">
+    <let name="switch/detector/radar_only" value="true"/>
+    <let name="switch/detector/tracker_based" value="false"/>
+  </group>
+
+  <!-- Detector -->
+  <group if="$(var switch/detector/camera_lidar)">
     <!-- Camera-Lidar detectors -->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml">
+      <arg name="number_of_cameras" value="$(var number_of_cameras)"/>
+      <arg name="input/camera0/image" value="$(var input/camera0/image)"/>
+      <arg name="input/camera0/info" value="$(var input/camera0/info)"/>
+      <arg name="input/camera0/rois" value="$(var input/camera0/rois)"/>
+      <arg name="input/camera1/image" value="$(var input/camera1/image)"/>
+      <arg name="input/camera1/info" value="$(var input/camera1/info)"/>
+      <arg name="input/camera1/rois" value="$(var input/camera1/rois)"/>
+      <arg name="input/camera2/image" value="$(var input/camera2/image)"/>
+      <arg name="input/camera2/info" value="$(var input/camera2/info)"/>
+      <arg name="input/camera2/rois" value="$(var input/camera2/rois)"/>
+      <arg name="input/camera3/image" value="$(var input/camera3/image)"/>
+      <arg name="input/camera3/info" value="$(var input/camera3/info)"/>
+      <arg name="input/camera3/rois" value="$(var input/camera3/rois)"/>
+      <arg name="input/camera4/image" value="$(var input/camera4/image)"/>
+      <arg name="input/camera4/info" value="$(var input/camera4/info)"/>
+      <arg name="input/camera4/rois" value="$(var input/camera4/rois)"/>
+      <arg name="input/camera5/image" value="$(var input/camera5/image)"/>
+      <arg name="input/camera5/info" value="$(var input/camera5/info)"/>
+      <arg name="input/camera5/rois" value="$(var input/camera5/rois)"/>
+      <arg name="input/camera6/image" value="$(var input/camera6/image)"/>
+      <arg name="input/camera6/info" value="$(var input/camera6/info)"/>
+      <arg name="input/camera6/rois" value="$(var input/camera6/rois)"/>
+      <arg name="input/camera7/image" value="$(var input/camera7/image)"/>
+      <arg name="input/camera7/info" value="$(var input/camera7/info)"/>
+      <arg name="input/camera7/rois" value="$(var input/camera7/rois)"/>
       <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
-      <arg name="image_raw0" value="$(var image_raw0)"/>
-      <arg name="camera_info0" value="$(var camera_info0)"/>
-      <arg name="image_raw1" value="$(var image_raw1)"/>
-      <arg name="camera_info1" value="$(var camera_info1)"/>
-      <arg name="image_raw2" value="$(var image_raw2)"/>
-      <arg name="camera_info2" value="$(var camera_info2)"/>
-      <arg name="image_raw3" value="$(var image_raw3)"/>
-      <arg name="camera_info3" value="$(var camera_info3)"/>
-      <arg name="image_raw4" value="$(var image_raw4)"/>
-      <arg name="camera_info4" value="$(var camera_info4)"/>
-      <arg name="image_raw5" value="$(var image_raw5)"/>
-      <arg name="camera_info5" value="$(var camera_info5)"/>
-      <arg name="image_raw6" value="$(var image_raw6)"/>
-      <arg name="camera_info6" value="$(var camera_info6)"/>
-      <arg name="image_raw7" value="$(var image_raw7)"/>
-      <arg name="camera_info7" value="$(var camera_info7)"/>
-      <arg name="image_number" value="$(var image_number)"/>
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
+      <arg name="node/pointcloud_container" value="$(var node/pointcloud_container)"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
       <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
       <arg name="use_roi_based_cluster" value="$(var use_roi_based_cluster)"/>
       <arg name="detection_by_tracker_param_path" value="$(var detection_by_tracker_param_path)"/>
+      <arg name="use_low_intensity_cluster_filter" value="$(var use_low_intensity_cluster_filter)"/>
     </include>
+  </group>
+  <group if="$(var switch/detector/lidar_dnn)">
     <!-- Lidar dnn-based detectors-->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml">
       <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
+      <arg name="node/pointcloud_container" value="$(var node/pointcloud_container)"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
     </include>
-    <!-- Radar detector-->
-    <group>
-      <push-ros-namespace namespace="radar"/>
-      <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/radar_detector.launch.xml">
-        <arg name="input/radar" value="$(var input/radar)"/>
-        <arg name="output/objects" value="far_objects"/>
-        <arg name="radar_lanelet_filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
-        <arg name="radar_crossing_objects_noise_filter_param_path" value="$(var object_recognition_detection_radar_crossing_objects_noise_filter_param_path)"/>
-        <arg name="object_velocity_splitter_param_path" value="$(var object_recognition_detection_object_velocity_splitter_radar_fusion_param_path)"/>
-        <arg name="object_range_splitter_param_path" value="$(var object_recognition_detection_object_range_splitter_radar_fusion_param_path)"/>
-        <arg name="radar_object_clustering_param_path" value="$(var radar_object_clustering_param_path)"/>
-      </include>
-    </group>
-    <!-- Object merger -->
+  </group>
+  <group if="$(var switch/detector/lidar_rule)">
+    <!-- Lidar rule-based detectors-->
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml">
+      <arg name="node/pointcloud_container" value="$(var node/pointcloud_container)"/>
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
+      <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
+      <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
+    </include>
+  </group>
+  <group if="$(var switch/detector/radar)">
+    <!-- Radar detector/filter, in case of sensor fusion-->
+    <push-ros-namespace namespace="radar"/>
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/radar_filter.launch.xml">
+      <arg name="input/radar" value="$(var input/radar)"/>
+      <arg name="output/objects" value="far_objects"/>
+      <arg name="radar_lanelet_filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
+      <arg name="radar_crossing_objects_noise_filter_param_path" value="$(var object_recognition_detection_radar_crossing_objects_noise_filter_param_path)"/>
+      <arg name="object_velocity_splitter_param_path" value="$(var object_recognition_detection_object_velocity_splitter_radar_fusion_param_path)"/>
+      <arg name="object_range_splitter_param_path" value="$(var object_recognition_detection_object_range_splitter_radar_fusion_param_path)"/>
+      <arg name="radar_object_clustering_param_path" value="$(var radar_object_clustering_param_path)"/>
+    </include>
+  </group>
+  <group if="$(var switch/detector/radar_only)">
+    <!-- Radar detector/filter, in case of radar only -->
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/radar_filter.launch.xml">
+      <arg name="input/radar" value="$(var input/radar)"/>
+      <arg name="output/objects" value="objects"/>
+      <arg name="radar_lanelet_filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
+      <arg name="radar_crossing_objects_noise_filter_param_path" value="$(var object_recognition_detection_radar_crossing_objects_noise_filter_param_path)"/>
+      <arg name="object_velocity_splitter_param_path" value="$(var object_recognition_detection_object_velocity_splitter_radar_param_path)"/>
+      <arg name="object_range_splitter_param_path" value="$(var object_recognition_detection_object_range_splitter_radar_param_path)"/>
+      <arg name="radar_object_clustering_param_path" value="$(var radar_object_clustering_param_path)"/>
+    </include>
+  </group>
+  <!-- DetectionByTracker -->
+  <group if="$(var switch/detector/tracker_based)">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/tracker_based_detector.launch.xml">
+      <arg name="detection_by_tracker_param_path" value="$(var object_recognition_detection_detection_by_tracker_param)"/>
+    </include>
+  </group>
+
+  <!-- Merger -->
+  <group if="$(var switch/merger/camera_lidar_radar)">
+    <!-- Camera-Lidar-Radar merger -->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/merger/camera_lidar_radar_merger.launch.xml">
-      <arg name="image_raw0" value="$(var image_raw0)"/>
-      <arg name="camera_info0" value="$(var camera_info0)"/>
-      <arg name="image_raw1" value="$(var image_raw1)"/>
-      <arg name="camera_info1" value="$(var camera_info1)"/>
-      <arg name="image_raw2" value="$(var image_raw2)"/>
-      <arg name="camera_info2" value="$(var camera_info2)"/>
-      <arg name="image_raw3" value="$(var image_raw3)"/>
-      <arg name="camera_info3" value="$(var camera_info3)"/>
-      <arg name="image_raw4" value="$(var image_raw4)"/>
-      <arg name="camera_info4" value="$(var camera_info4)"/>
-      <arg name="image_raw5" value="$(var image_raw5)"/>
-      <arg name="camera_info5" value="$(var camera_info5)"/>
-      <arg name="image_raw6" value="$(var image_raw6)"/>
-      <arg name="camera_info6" value="$(var camera_info6)"/>
-      <arg name="image_raw7" value="$(var image_raw7)"/>
-      <arg name="camera_info7" value="$(var camera_info7)"/>
-      <arg name="image_number" value="$(var image_number)"/>
+      <arg name="number_of_cameras" value="$(var number_of_cameras)"/>
+      <arg name="input/camera0/image" value="$(var input/camera0/image)"/>
+      <arg name="input/camera0/info" value="$(var input/camera0/info)"/>
+      <arg name="input/camera0/rois" value="$(var input/camera0/rois)"/>
+      <arg name="input/camera1/image" value="$(var input/camera1/image)"/>
+      <arg name="input/camera1/info" value="$(var input/camera1/info)"/>
+      <arg name="input/camera1/rois" value="$(var input/camera1/rois)"/>
+      <arg name="input/camera2/image" value="$(var input/camera2/image)"/>
+      <arg name="input/camera2/info" value="$(var input/camera2/info)"/>
+      <arg name="input/camera2/rois" value="$(var input/camera2/rois)"/>
+      <arg name="input/camera3/image" value="$(var input/camera3/image)"/>
+      <arg name="input/camera3/info" value="$(var input/camera3/info)"/>
+      <arg name="input/camera3/rois" value="$(var input/camera3/rois)"/>
+      <arg name="input/camera4/image" value="$(var input/camera4/image)"/>
+      <arg name="input/camera4/info" value="$(var input/camera4/info)"/>
+      <arg name="input/camera4/rois" value="$(var input/camera4/rois)"/>
+      <arg name="input/camera5/image" value="$(var input/camera5/image)"/>
+      <arg name="input/camera5/info" value="$(var input/camera5/info)"/>
+      <arg name="input/camera5/rois" value="$(var input/camera5/rois)"/>
+      <arg name="input/camera6/image" value="$(var input/camera6/image)"/>
+      <arg name="input/camera6/info" value="$(var input/camera6/info)"/>
+      <arg name="input/camera6/rois" value="$(var input/camera6/rois)"/>
+      <arg name="input/camera7/image" value="$(var input/camera7/image)"/>
+      <arg name="input/camera7/info" value="$(var input/camera7/info)"/>
+      <arg name="input/camera7/rois" value="$(var input/camera7/rois)"/>
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
+      <arg name="use_radar_tracking_fusion" value="$(var use_radar_tracking_fusion)"/>
+      <arg name="use_detection_by_tracker" value="$(var use_detection_by_tracker)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
       <arg name="use_object_filter" value="$(var use_object_filter)"/>
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="use_validator" value="$(var use_validator)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
       <arg name="roi_detected_object_fusion_param_path" value="$(var roi_detected_object_fusion_param_path)"/>
     </include>
   </group>
 
-  <!-- Camera-Lidar fusion based detection -->
-  <group if="$(eval '&quot;$(var mode)&quot;==&quot;camera_lidar_fusion&quot;')">
-    <!-- Camera-Lidar detectors -->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml">
-      <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
-      <arg name="image_raw0" value="$(var image_raw0)"/>
-      <arg name="camera_info0" value="$(var camera_info0)"/>
-      <arg name="image_raw1" value="$(var image_raw1)"/>
-      <arg name="camera_info1" value="$(var camera_info1)"/>
-      <arg name="image_raw2" value="$(var image_raw2)"/>
-      <arg name="camera_info2" value="$(var camera_info2)"/>
-      <arg name="image_raw3" value="$(var image_raw3)"/>
-      <arg name="camera_info3" value="$(var camera_info3)"/>
-      <arg name="image_raw4" value="$(var image_raw4)"/>
-      <arg name="camera_info4" value="$(var camera_info4)"/>
-      <arg name="image_raw5" value="$(var image_raw5)"/>
-      <arg name="camera_info5" value="$(var camera_info5)"/>
-      <arg name="image_raw6" value="$(var image_raw6)"/>
-      <arg name="camera_info6" value="$(var camera_info6)"/>
-      <arg name="image_raw7" value="$(var image_raw7)"/>
-      <arg name="camera_info7" value="$(var camera_info7)"/>
-      <arg name="image_number" value="$(var image_number)"/>
-      <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
-      <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
-      <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
-      <arg name="use_roi_based_cluster" value="$(var use_roi_based_cluster)"/>
-      <arg name="detection_by_tracker_param_path" value="$(var detection_by_tracker_param_path)"/>
-    </include>
-    <!-- Lidar dnn-based detectors-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml">
-      <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
-      <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
-    </include>
-    <!-- Object merger -->
+  <group if="$(var switch/merger/camera_lidar)">
+    <!-- Camera-Lidar merger -->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/merger/camera_lidar_merger.launch.xml">
-      <arg name="image_raw0" value="$(var image_raw0)"/>
-      <arg name="camera_info0" value="$(var camera_info0)"/>
-      <arg name="image_raw1" value="$(var image_raw1)"/>
-      <arg name="camera_info1" value="$(var camera_info1)"/>
-      <arg name="image_raw2" value="$(var image_raw2)"/>
-      <arg name="camera_info2" value="$(var camera_info2)"/>
-      <arg name="image_raw3" value="$(var image_raw3)"/>
-      <arg name="camera_info3" value="$(var camera_info3)"/>
-      <arg name="image_raw4" value="$(var image_raw4)"/>
-      <arg name="camera_info4" value="$(var camera_info4)"/>
-      <arg name="image_raw5" value="$(var image_raw5)"/>
-      <arg name="camera_info5" value="$(var camera_info5)"/>
-      <arg name="image_raw6" value="$(var image_raw6)"/>
-      <arg name="camera_info6" value="$(var camera_info6)"/>
-      <arg name="image_raw7" value="$(var image_raw7)"/>
-      <arg name="camera_info7" value="$(var camera_info7)"/>
-      <arg name="image_number" value="$(var image_number)"/>
+      <arg name="number_of_cameras" value="$(var number_of_cameras)"/>
+      <arg name="input/camera0/image" value="$(var input/camera0/image)"/>
+      <arg name="input/camera0/info" value="$(var input/camera0/info)"/>
+      <arg name="input/camera0/rois" value="$(var input/camera0/rois)"/>
+      <arg name="input/camera1/image" value="$(var input/camera1/image)"/>
+      <arg name="input/camera1/info" value="$(var input/camera1/info)"/>
+      <arg name="input/camera1/rois" value="$(var input/camera1/rois)"/>
+      <arg name="input/camera2/image" value="$(var input/camera2/image)"/>
+      <arg name="input/camera2/info" value="$(var input/camera2/info)"/>
+      <arg name="input/camera2/rois" value="$(var input/camera2/rois)"/>
+      <arg name="input/camera3/image" value="$(var input/camera3/image)"/>
+      <arg name="input/camera3/info" value="$(var input/camera3/info)"/>
+      <arg name="input/camera3/rois" value="$(var input/camera3/rois)"/>
+      <arg name="input/camera4/image" value="$(var input/camera4/image)"/>
+      <arg name="input/camera4/info" value="$(var input/camera4/info)"/>
+      <arg name="input/camera4/rois" value="$(var input/camera4/rois)"/>
+      <arg name="input/camera5/image" value="$(var input/camera5/image)"/>
+      <arg name="input/camera5/info" value="$(var input/camera5/info)"/>
+      <arg name="input/camera5/rois" value="$(var input/camera5/rois)"/>
+      <arg name="input/camera6/image" value="$(var input/camera6/image)"/>
+      <arg name="input/camera6/info" value="$(var input/camera6/info)"/>
+      <arg name="input/camera6/rois" value="$(var input/camera6/rois)"/>
+      <arg name="input/camera7/image" value="$(var input/camera7/image)"/>
+      <arg name="input/camera7/info" value="$(var input/camera7/info)"/>
+      <arg name="input/camera7/rois" value="$(var input/camera7/rois)"/>
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
       <arg name="use_object_filter" value="$(var use_object_filter)"/>
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="use_validator" value="$(var use_validator)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
+      <arg name="use_detection_by_tracker" value="$(var use_detection_by_tracker)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
     </include>
   </group>
 
-  <!-- Lidar-Radar fusion based detection -->
-  <group if="$(eval '&quot;$(var mode)&quot;==&quot;lidar_radar_fusion&quot;')">
-    <!-- Radar detector-->
-    <group>
-      <push-ros-namespace namespace="radar"/>
-      <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/radar_detector.launch.xml">
-        <arg name="input/radar" value="$(var input/radar)"/>
-        <arg name="output/objects" value="far_objects"/>
-        <arg name="radar_lanelet_filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
-        <arg name="radar_crossing_objects_noise_filter_param_path" value="$(var object_recognition_detection_radar_crossing_objects_noise_filter_param_path)"/>
-        <arg name="object_velocity_splitter_param_path" value="$(var object_recognition_detection_object_velocity_splitter_radar_fusion_param_path)"/>
-        <arg name="object_range_splitter_param_path" value="$(var object_recognition_detection_object_range_splitter_radar_fusion_param_path)"/>
-        <arg name="radar_object_clustering_param_path" value="$(var radar_object_clustering_param_path)"/>
-      </include>
-    </group>
-    <!-- Lidar dnn-based detectors-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml">
-      <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
-      <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
-    </include>
-    <!-- Lidar rule-based detectors-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml">
-      <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
-      <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
-    </include>
-    <!-- Lidar object merger -->
+  <group if="$(var switch/merger/lidar_radar)">
+    <!-- Lidar object merger-->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/merger/lidar_merger.launch.xml">
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
       <arg name="output/objects" value="lidar/objects"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
+      <arg name="use_detection_by_tracker" value="$(var use_detection_by_tracker)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
       <arg name="use_object_filter" value="$(var use_object_filter)"/>
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="use_validator" value="$(var use_validator)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
     </include>
     <!-- Lidar-Radar object merger-->
     <include file="$(find-pkg-share radar_fusion_to_detected_object)/launch/radar_object_fusion_to_detected_object.launch.xml">
@@ -204,38 +284,19 @@
     </include>
   </group>
 
-  <!-- Lidar based detection -->
-  <group if="$(eval '&quot;$(var mode)&quot;==&quot;lidar&quot;')">
-    <!-- Lidar dnn-based detectors-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml">
-      <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
-      <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
-    </include>
-    <!-- Lidar rule-based detectors-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml">
-      <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
-      <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
-    </include>
-    <!-- Lidar object merger -->
+  <group if="$(var switch/merger/lidar)">
+    <!-- Lidar object merger-->
     <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/merger/lidar_merger.launch.xml">
+      <arg name="input/pointcloud_map/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
+      <arg name="input/obstacle_segmentation/pointcloud" value="$(var input/obstacle_segmentation/pointcloud)"/>
+      <arg name="output/objects" value="objects"/>
       <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
+      <arg name="use_detection_by_tracker" value="$(var use_detection_by_tracker)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
       <arg name="use_object_filter" value="$(var use_object_filter)"/>
-    </include>
-  </group>
-
-  <!-- Radar based detection -->
-  <group if="$(eval '&quot;$(var mode)&quot;==&quot;radar&quot;')">
-    <!-- Radar detector-->
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detector/radar_detector.launch.xml">
-      <arg name="input/radar" value="$(var input/radar)"/>
-      <arg name="output/objects" value="objects"/>
-      <arg name="radar_lanelet_filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
-      <arg name="radar_crossing_objects_noise_filter_param_path" value="$(var object_recognition_detection_radar_crossing_objects_noise_filter_param_path)"/>
-      <arg name="object_velocity_splitter_param_path" value="$(var object_recognition_detection_object_velocity_splitter_radar_param_path)"/>
-      <arg name="object_range_splitter_param_path" value="$(var object_recognition_detection_object_range_splitter_radar_param_path)"/>
-      <arg name="radar_object_clustering_param_path" value="$(var radar_object_clustering_param_path)"/>
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="use_validator" value="$(var use_validator)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
     </include>
   </group>
 </launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml
index 6294df64279a5..3c8480038f320 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/camera_lidar_detector.launch.xml
@@ -2,104 +2,105 @@
 <launch>
   <!-- Lidar parameters -->
   <arg name="input/pointcloud"/>
-  <arg name="input/obstacle_segmentation/pointcloud" default="/perception/obstacle_segmentation/pointcloud"/>
-  <arg name="pointcloud_container_name" default="pointcloud_container"/>
+  <arg name="input/pointcloud_map/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud"/>
+  <arg name="node/pointcloud_container"/>
 
   <!-- Lidar + Camera detector parameters -->
-  <arg name="lidar_detection_model" default="centerpoint" description="options: `centerpoint`, `apollo`, `pointpainting`, `clustering`"/>
-  <arg name="use_roi_based_cluster" default="false"/>
-  <arg name="use_low_intensity_cluster_filter" default="false"/>
+  <arg name="lidar_detection_model" description="options: `centerpoint`, `apollo`, `pointpainting`, `clustering`"/>
+  <arg name="use_roi_based_cluster"/>
+  <arg name="use_low_intensity_cluster_filter"/>
 
   <!-- Camera parameters -->
-  <arg name="image_raw0" default="/image_raw" description="image raw topic name"/>
-  <arg name="camera_info0" default="/camera_info" description="camera info topic name"/>
-  <arg name="detection_rois0" default="/perception/object_recognition/detection/rois0" description="detection rois output topic name"/>
-  <arg name="image_raw1" default="/image_raw1"/>
-  <arg name="camera_info1" default="/camera_info1"/>
-  <arg name="detection_rois1" default="/perception/object_recognition/detection/rois1"/>
-  <arg name="image_raw2" default="/image_raw2"/>
-  <arg name="camera_info2" default="/camera_info2"/>
-  <arg name="detection_rois2" default="/perception/object_recognition/detection/rois2"/>
-  <arg name="image_raw3" default="/image_raw3"/>
-  <arg name="camera_info3" default="/camera_info3"/>
-  <arg name="detection_rois3" default="/perception/object_recognition/detection/rois3"/>
-  <arg name="image_raw4" default="/image_raw4"/>
-  <arg name="camera_info4" default="/camera_info4"/>
-  <arg name="detection_rois4" default="/perception/object_recognition/detection/rois4"/>
-  <arg name="image_raw5" default="/image_raw5"/>
-  <arg name="camera_info5" default="/camera_info5"/>
-  <arg name="detection_rois5" default="/perception/object_recognition/detection/rois5"/>
-  <arg name="image_raw6" default="/image_raw6"/>
-  <arg name="camera_info6" default="/camera_info6"/>
-  <arg name="detection_rois6" default="/perception/object_recognition/detection/rois6"/>
-  <arg name="image_raw7" default="/image_raw7"/>
-  <arg name="camera_info7" default="/camera_info7"/>
-  <arg name="detection_rois7" default="/perception/object_recognition/detection/rois7"/>
-  <arg name="image_number" default="1" description="choose image raw number(1-8)"/>
+  <arg name="number_of_cameras"/>
+  <arg name="input/camera0/image"/>
+  <arg name="input/camera0/info"/>
+  <arg name="input/camera0/rois"/>
+  <arg name="input/camera1/image"/>
+  <arg name="input/camera1/info"/>
+  <arg name="input/camera1/rois"/>
+  <arg name="input/camera2/image"/>
+  <arg name="input/camera2/info"/>
+  <arg name="input/camera2/rois"/>
+  <arg name="input/camera3/image"/>
+  <arg name="input/camera3/info"/>
+  <arg name="input/camera3/rois"/>
+  <arg name="input/camera4/image"/>
+  <arg name="input/camera4/info"/>
+  <arg name="input/camera4/rois"/>
+  <arg name="input/camera5/image"/>
+  <arg name="input/camera5/info"/>
+  <arg name="input/camera5/rois"/>
+  <arg name="input/camera6/image"/>
+  <arg name="input/camera6/info"/>
+  <arg name="input/camera6/rois"/>
+  <arg name="input/camera7/image"/>
+  <arg name="input/camera7/info"/>
+  <arg name="input/camera7/rois"/>
 
   <!-- Jetson AGX -->
   <!-- <include file="$(find-pkg-share tensorrt_yolox)/launch/multiple_yolox.launch.xml">
-    <arg name="image_raw0" value="$(var image_raw0)"/>
-    <arg name="image_raw1" value="$(var image_raw1)"/>
-    <arg name="image_raw2" value="$(var image_raw2)"/>
-    <arg name="image_raw3" value="$(var image_raw3)"/>
-    <arg name="image_raw4" value="$(var image_raw4)"/>
-    <arg name="image_raw5" value="$(var image_raw5)"/>
-    <arg name="image_raw6" value="$(var image_raw6)"/>
-    <arg name="image_raw7" value="$(var image_raw7)"/>
-    <arg name="image_number" value="$(var image_number)"/>
+    <arg name="image_raw0" value="$(var input/camera0/image)"/>
+    <arg name="image_raw1" value="$(var input/camera1/image)"/>
+    <arg name="image_raw2" value="$(var input/camera2/image)"/>
+    <arg name="image_raw3" value="$(var input/camera3/image)"/>
+    <arg name="image_raw4" value="$(var input/camera4/image)"/>
+    <arg name="image_raw5" value="$(var input/camera5/image)"/>
+    <arg name="image_raw6" value="$(var input/camera6/image)"/>
+    <arg name="image_raw7" value="$(var input/camera7/image)"/>
+    <arg name="image_number" value="$(var number_of_cameras)"/>
   </include> -->
 
   <!-- PointPainting -->
   <group if="$(eval &quot;'$(var lidar_detection_model)'=='pointpainting'&quot;)">
     <push-ros-namespace namespace="pointpainting"/>
     <include file="$(find-pkg-share image_projection_based_fusion)/launch/pointpainting_fusion.launch.xml">
-      <arg name="input/camera_info0" value="$(var camera_info0)"/>
-      <arg name="input/rois0" value="$(var detection_rois0)"/>
-      <arg name="input/camera_info1" value="$(var camera_info1)"/>
-      <arg name="input/rois1" value="$(var detection_rois1)"/>
-      <arg name="input/camera_info2" value="$(var camera_info2)"/>
-      <arg name="input/rois2" value="$(var detection_rois2)"/>
-      <arg name="input/camera_info3" value="$(var camera_info3)"/>
-      <arg name="input/rois3" value="$(var detection_rois3)"/>
-      <arg name="input/camera_info4" value="$(var camera_info4)"/>
-      <arg name="input/rois4" value="$(var detection_rois4)"/>
-      <arg name="input/camera_info5" value="$(var camera_info5)"/>
-      <arg name="input/rois5" value="$(var detection_rois5)"/>
-      <arg name="input/camera_info6" value="$(var camera_info6)"/>
-      <arg name="input/rois6" value="$(var detection_rois6)"/>
-      <arg name="input/camera_info7" value="$(var camera_info7)"/>
-      <arg name="input/rois7" value="$(var detection_rois7)"/>
-      <arg name="input/rois_number" value="$(var image_number)"/>
-      <arg name="input/image0" value="$(var image_raw0)"/>
-      <arg name="input/image1" value="$(var image_raw1)"/>
-      <arg name="input/image2" value="$(var image_raw2)"/>
-      <arg name="input/image3" value="$(var image_raw3)"/>
-      <arg name="input/image4" value="$(var image_raw4)"/>
-      <arg name="input/image5" value="$(var image_raw5)"/>
-      <arg name="input/image6" value="$(var image_raw6)"/>
-      <arg name="input/image7" value="$(var image_raw7)"/>
+      <arg name="input/rois_number" value="$(var number_of_cameras)"/>
+      <arg name="input/rois0" value="$(var input/camera0/rois)"/>
+      <arg name="input/rois1" value="$(var input/camera1/rois)"/>
+      <arg name="input/rois2" value="$(var input/camera2/rois)"/>
+      <arg name="input/rois3" value="$(var input/camera3/rois)"/>
+      <arg name="input/rois4" value="$(var input/camera4/rois)"/>
+      <arg name="input/rois5" value="$(var input/camera5/rois)"/>
+      <arg name="input/rois6" value="$(var input/camera6/rois)"/>
+      <arg name="input/rois7" value="$(var input/camera7/rois)"/>
+      <arg name="input/camera_info0" value="$(var input/camera0/info)"/>
+      <arg name="input/camera_info1" value="$(var input/camera1/info)"/>
+      <arg name="input/camera_info2" value="$(var input/camera2/info)"/>
+      <arg name="input/camera_info3" value="$(var input/camera3/info)"/>
+      <arg name="input/camera_info4" value="$(var input/camera4/info)"/>
+      <arg name="input/camera_info5" value="$(var input/camera5/info)"/>
+      <arg name="input/camera_info6" value="$(var input/camera6/info)"/>
+      <arg name="input/camera_info7" value="$(var input/camera7/info)"/>
+      <arg name="input/image0" value="$(var input/camera0/image)"/>
+      <arg name="input/image1" value="$(var input/camera1/image)"/>
+      <arg name="input/image2" value="$(var input/camera2/image)"/>
+      <arg name="input/image3" value="$(var input/camera3/image)"/>
+      <arg name="input/image4" value="$(var input/camera4/image)"/>
+      <arg name="input/image5" value="$(var input/camera5/image)"/>
+      <arg name="input/image6" value="$(var input/camera6/image)"/>
+      <arg name="input/image7" value="$(var input/camera7/image)"/>
       <arg name="input/pointcloud" value="$(var input/pointcloud)"/>
       <arg name="output/objects" value="objects"/>
+
       <arg name="model_name" value="$(var lidar_detection_model)"/>
       <arg name="model_path" value="$(var pointpainting_model_path)"/>
       <arg name="model_param_path" value="$(var lidar_model_param_path)/pointpainting.param.yaml"/>
       <arg name="ml_package_param_path" value="$(var model_path)/pointpainting_ml_package.param.yaml"/>
       <arg name="class_remapper_param_path" value="$(var model_path)/detection_class_remapper.param.yaml"/>
-
       <arg name="use_pointcloud_container" value="true"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+      <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
     </include>
   </group>
 
   <!-- Pointcloud filter -->
   <group>
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/pointcloud_map_filter.launch.py">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/pointcloud_map_filter.launch.py">
       <arg name="input_topic" value="$(var input/obstacle_segmentation/pointcloud)"/>
       <arg name="output_topic" value="pointcloud_map_filtered/pointcloud"/>
       <arg name="use_intra_process" value="true"/>
       <arg name="use_multithread" value="true"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+      <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
     </include>
   </group>
@@ -111,7 +112,7 @@
       <let name="euclidean_cluster_output" value="euclidean_cluster/clusters" if="$(var use_roi_based_cluster)"/>
       <let name="euclidean_cluster_output" value="clusters" unless="$(var use_roi_based_cluster)"/>
       <include file="$(find-pkg-share euclidean_cluster)/launch/voxel_grid_based_euclidean_cluster.launch.xml">
-        <arg name="input_pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud"/>
+        <arg name="input_pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
         <arg name="output_clusters" value="$(var euclidean_cluster_output)"/>
         <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
       </include>
@@ -122,32 +123,32 @@
       <push-ros-namespace namespace="roi_cluster"/>
       <group>
         <include file="$(find-pkg-share image_projection_based_fusion)/launch/roi_pointcloud_fusion.launch.xml" if="$(var use_roi_based_cluster)">
-          <arg name="input/camera_info0" value="$(var camera_info0)"/>
-          <arg name="input/rois0" value="$(var detection_rois0)"/>
-          <arg name="input/camera_info1" value="$(var camera_info1)"/>
-          <arg name="input/rois1" value="$(var detection_rois1)"/>
-          <arg name="input/camera_info2" value="$(var camera_info2)"/>
-          <arg name="input/rois2" value="$(var detection_rois2)"/>
-          <arg name="input/camera_info3" value="$(var camera_info3)"/>
-          <arg name="input/rois3" value="$(var detection_rois3)"/>
-          <arg name="input/camera_info4" value="$(var camera_info4)"/>
-          <arg name="input/rois4" value="$(var detection_rois4)"/>
-          <arg name="input/camera_info5" value="$(var camera_info5)"/>
-          <arg name="input/rois5" value="$(var detection_rois5)"/>
-          <arg name="input/camera_info6" value="$(var camera_info6)"/>
-          <arg name="input/rois6" value="$(var detection_rois6)"/>
-          <arg name="input/camera_info7" value="$(var camera_info7)"/>
-          <arg name="input/rois7" value="$(var detection_rois7)"/>
-          <arg name="input/rois_number" value="$(var image_number)"/>
-          <arg name="input/image0" value="$(var image_raw0)"/>
-          <arg name="input/image1" value="$(var image_raw1)"/>
-          <arg name="input/image2" value="$(var image_raw2)"/>
-          <arg name="input/image3" value="$(var image_raw3)"/>
-          <arg name="input/image4" value="$(var image_raw4)"/>
-          <arg name="input/image5" value="$(var image_raw5)"/>
-          <arg name="input/image6" value="$(var image_raw6)"/>
-          <arg name="input/image7" value="$(var image_raw7)"/>
-          <arg name="input/pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud"/>
+          <arg name="input/rois_number" value="$(var number_of_cameras)"/>
+          <arg name="input/rois0" value="$(var input/camera0/rois)"/>
+          <arg name="input/rois1" value="$(var input/camera1/rois)"/>
+          <arg name="input/rois2" value="$(var input/camera2/rois)"/>
+          <arg name="input/rois3" value="$(var input/camera3/rois)"/>
+          <arg name="input/rois4" value="$(var input/camera4/rois)"/>
+          <arg name="input/rois5" value="$(var input/camera5/rois)"/>
+          <arg name="input/rois6" value="$(var input/camera6/rois)"/>
+          <arg name="input/rois7" value="$(var input/camera7/rois)"/>
+          <arg name="input/camera_info0" value="$(var input/camera0/info)"/>
+          <arg name="input/camera_info1" value="$(var input/camera1/info)"/>
+          <arg name="input/camera_info2" value="$(var input/camera2/info)"/>
+          <arg name="input/camera_info3" value="$(var input/camera3/info)"/>
+          <arg name="input/camera_info4" value="$(var input/camera4/info)"/>
+          <arg name="input/camera_info5" value="$(var input/camera5/info)"/>
+          <arg name="input/camera_info6" value="$(var input/camera6/info)"/>
+          <arg name="input/camera_info7" value="$(var input/camera7/info)"/>
+          <arg name="input/image0" value="$(var input/camera0/image)"/>
+          <arg name="input/image1" value="$(var input/camera1/image)"/>
+          <arg name="input/image2" value="$(var input/camera2/image)"/>
+          <arg name="input/image3" value="$(var input/camera3/image)"/>
+          <arg name="input/image4" value="$(var input/camera4/image)"/>
+          <arg name="input/image5" value="$(var input/camera5/image)"/>
+          <arg name="input/image6" value="$(var input/camera6/image)"/>
+          <arg name="input/image7" value="$(var input/camera7/image)"/>
+          <arg name="input/pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
           <arg name="output_clusters" value="clusters"/>
           <arg name="param_path" value="$(var roi_pointcloud_fusion_param_path)"/>
         </include>
@@ -178,32 +179,32 @@
       <!-- euclidean clustering -->
       <group>
         <include file="$(find-pkg-share image_projection_based_fusion)/launch/roi_cluster_fusion.launch.xml">
-          <arg name="input/camera_info0" value="$(var camera_info0)"/>
-          <arg name="input/rois0" value="$(var detection_rois0)"/>
-          <arg name="input/camera_info1" value="$(var camera_info1)"/>
-          <arg name="input/rois1" value="$(var detection_rois1)"/>
-          <arg name="input/camera_info2" value="$(var camera_info2)"/>
-          <arg name="input/rois2" value="$(var detection_rois2)"/>
-          <arg name="input/camera_info3" value="$(var camera_info3)"/>
-          <arg name="input/rois3" value="$(var detection_rois3)"/>
-          <arg name="input/camera_info4" value="$(var camera_info4)"/>
-          <arg name="input/rois4" value="$(var detection_rois4)"/>
-          <arg name="input/camera_info5" value="$(var camera_info5)"/>
-          <arg name="input/rois5" value="$(var detection_rois5)"/>
-          <arg name="input/camera_info6" value="$(var camera_info6)"/>
-          <arg name="input/rois6" value="$(var detection_rois6)"/>
-          <arg name="input/camera_info7" value="$(var camera_info7)"/>
-          <arg name="input/rois7" value="$(var detection_rois7)"/>
-          <arg name="input/rois_number" value="$(var image_number)"/>
+          <arg name="input/rois_number" value="$(var number_of_cameras)"/>
+          <arg name="input/rois0" value="$(var input/camera0/rois)"/>
+          <arg name="input/rois1" value="$(var input/camera1/rois)"/>
+          <arg name="input/rois2" value="$(var input/camera2/rois)"/>
+          <arg name="input/rois3" value="$(var input/camera3/rois)"/>
+          <arg name="input/rois4" value="$(var input/camera4/rois)"/>
+          <arg name="input/rois5" value="$(var input/camera5/rois)"/>
+          <arg name="input/rois6" value="$(var input/camera6/rois)"/>
+          <arg name="input/rois7" value="$(var input/camera7/rois)"/>
+          <arg name="input/camera_info0" value="$(var input/camera0/info)"/>
+          <arg name="input/camera_info1" value="$(var input/camera1/info)"/>
+          <arg name="input/camera_info2" value="$(var input/camera2/info)"/>
+          <arg name="input/camera_info3" value="$(var input/camera3/info)"/>
+          <arg name="input/camera_info4" value="$(var input/camera4/info)"/>
+          <arg name="input/camera_info5" value="$(var input/camera5/info)"/>
+          <arg name="input/camera_info6" value="$(var input/camera6/info)"/>
+          <arg name="input/camera_info7" value="$(var input/camera7/info)"/>
+          <arg name="input/image0" value="$(var input/camera0/image)"/>
+          <arg name="input/image1" value="$(var input/camera1/image)"/>
+          <arg name="input/image2" value="$(var input/camera2/image)"/>
+          <arg name="input/image3" value="$(var input/camera3/image)"/>
+          <arg name="input/image4" value="$(var input/camera4/image)"/>
+          <arg name="input/image5" value="$(var input/camera5/image)"/>
+          <arg name="input/image6" value="$(var input/camera6/image)"/>
+          <arg name="input/image7" value="$(var input/camera7/image)"/>
           <arg name="input/clusters" value="$(var input/clustering)"/>
-          <arg name="input/image0" value="$(var image_raw0)"/>
-          <arg name="input/image1" value="$(var image_raw1)"/>
-          <arg name="input/image2" value="$(var image_raw2)"/>
-          <arg name="input/image3" value="$(var image_raw3)"/>
-          <arg name="input/image4" value="$(var image_raw4)"/>
-          <arg name="input/image5" value="$(var image_raw5)"/>
-          <arg name="input/image6" value="$(var image_raw6)"/>
-          <arg name="input/image7" value="$(var image_raw7)"/>
           <arg name="output/clusters" value="clusters"/>
           <arg name="param_path" value="$(var roi_cluster_fusion_param_path)"/>
         </include>
@@ -234,12 +235,4 @@
       </group>
     </group>
   </group>
-
-  <!-- DetectionByTracker -->
-  <group if="$(var use_detection_by_tracker)">
-    <push-ros-namespace namespace="detection_by_tracker"/>
-    <include file="$(find-pkg-share detection_by_tracker)/launch/detection_by_tracker.launch.xml">
-      <arg name="detection_by_tracker_param_path" value="$(var object_recognition_detection_detection_by_tracker_param)"/>
-    </include>
-  </group>
 </launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml
index 274b39be681b8..ab34cc49dd2f6 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_dnn_detector.launch.xml
@@ -2,6 +2,7 @@
 <launch>
   <!-- Lidar parameters -->
   <arg name="input/pointcloud"/>
+  <arg name="node/pointcloud_container"/>
   <arg name="lidar_detection_model" default="centerpoint" description="options: `transfusion`, `centerpoint`, `apollo`, `clustering`"/>
 
   <!-- Lidar detector centerpoint parameters -->
@@ -27,7 +28,7 @@
         <arg name="class_remapper_param_path" value="$(var lidar_model_param_path)/detection_class_remapper.param.yaml"/>
 
         <arg name="use_pointcloud_container" value="true"/>
-        <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+        <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
       </include>
     </group>
   </group>
@@ -48,7 +49,7 @@
         <arg name="class_remapper_param_path" value="$(var centerpoint_model_path)/detection_class_remapper.param.yaml"/>
 
         <arg name="use_pointcloud_container" value="true"/>
-        <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+        <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
       </include>
     </group>
   </group>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml
index 0fabd5e98e45f..819a6337138a1 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/lidar_rule_detector.launch.xml
@@ -1,17 +1,19 @@
 <?xml version="1.0"?>
 <launch>
   <!-- Lidar parameters -->
-  <arg name="input/obstacle_segmentation/pointcloud" default="/perception/obstacle_segmentation/pointcloud"/>
-  <arg name="pointcloud_container_name" default="pointcloud_container"/>
+  <arg name="input/pointcloud_map/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud"/>
+  <arg name="node/pointcloud_container"/>
+  <arg name="use_pointcloud_map"/>
 
   <!-- Pointcloud filter -->
   <group>
-    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/pointcloud_map_filter.launch.py">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/pointcloud_map_filter.launch.py">
       <arg name="input_topic" value="$(var input/obstacle_segmentation/pointcloud)"/>
       <arg name="output_topic" value="pointcloud_map_filtered/pointcloud"/>
       <arg name="use_intra_process" value="true"/>
       <arg name="use_multithread" value="true"/>
-      <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+      <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
       <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
     </include>
   </group>
@@ -21,12 +23,12 @@
     <push-ros-namespace namespace="clustering"/>
     <group>
       <include file="$(find-pkg-share euclidean_cluster)/launch/voxel_grid_based_euclidean_cluster.launch.xml">
-        <arg name="input_pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud"/>
+        <arg name="input_pointcloud" value="$(var input/pointcloud_map/pointcloud)"/>
         <arg name="output_clusters" value="clusters"/>
         <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
 
         <arg name="use_pointcloud_container" value="true"/>
-        <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+        <arg name="pointcloud_container_name" value="$(var node/pointcloud_container)"/>
       </include>
     </group>
 
@@ -45,12 +47,4 @@
       </include>
     </group>
   </group>
-
-  <!-- DetectionByTracker -->
-  <group if="$(var use_detection_by_tracker)">
-    <push-ros-namespace namespace="detection_by_tracker"/>
-    <include file="$(find-pkg-share detection_by_tracker)/launch/detection_by_tracker.launch.xml">
-      <arg name="detection_by_tracker_param_path" value="$(var object_recognition_detection_detection_by_tracker_param)"/>
-    </include>
-  </group>
 </launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/tracker_based_detector.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/tracker_based_detector.launch.xml
new file mode 100644
index 0000000000000..0efe7444fcba5
--- /dev/null
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/detector/tracker_based_detector.launch.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0"?>
+<launch>
+  <!-- DetectionByTracker -->
+  <group>
+    <push-ros-namespace namespace="detection_by_tracker"/>
+    <include file="$(find-pkg-share detection_by_tracker)/launch/detection_by_tracker.launch.xml">
+      <arg name="detection_by_tracker_param_path" value="$(var object_recognition_detection_detection_by_tracker_param)"/>
+    </include>
+  </group>
+</launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_filter.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_filter.launch.xml
new file mode 100644
index 0000000000000..d7bbcb01472eb
--- /dev/null
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_filter.launch.xml
@@ -0,0 +1,25 @@
+<?xml version="1.0"?>
+<launch>
+  <!-- Pipeline junctions -->
+  <arg name="objects_filter_method" default="lanelet_filter" description="options: `lanelet_filter` or `position_filter`"/>
+
+  <!-- external interfaces -->
+  <arg name="input/objects"/>
+  <arg name="output/objects"/>
+
+  <!-- Filter -->
+  <group if="$(eval &quot;'$(var objects_filter_method)'=='lanelet_filter'&quot;)">
+    <include file="$(find-pkg-share detected_object_validation)/launch/object_lanelet_filter.launch.xml">
+      <arg name="input/object" value="$(var input/objects)"/>
+      <arg name="output/object" value="$(var output/objects)"/>
+      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_lanelet_filter_param_path)"/>
+    </include>
+  </group>
+  <group if="$(eval &quot;'$(var objects_filter_method)'=='position_filter'&quot;)">
+    <include file="$(find-pkg-share detected_object_validation)/launch/object_position_filter.launch.xml">
+      <arg name="input/object" value="$(var input/objects)"/>
+      <arg name="output/object" value="$(var output/objects)"/>
+      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_position_filter_param_path)"/>
+    </include>
+  </group>
+</launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_validator.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_validator.launch.xml
new file mode 100644
index 0000000000000..9a09ad2871e85
--- /dev/null
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/object_validator.launch.xml
@@ -0,0 +1,26 @@
+<?xml version="1.0"?>
+<launch>
+  <!-- Pipeline junctions -->
+  <arg name="objects_validation_method" description="options: `obstacle_pointcloud` or `occupancy_grid`"/>
+
+  <!-- external interfaces -->
+  <arg name="input/obstacle_pointcloud" description="Only required when 'obstacle_pointcloud'"/>
+  <arg name="input/objects"/>
+  <arg name="output/objects"/>
+
+  <!-- Validator -->
+  <group if="$(eval &quot;'$(var objects_validation_method)'=='obstacle_pointcloud'&quot;)">
+    <include file="$(find-pkg-share detected_object_validation)/launch/obstacle_pointcloud_based_validator.launch.xml">
+      <arg name="input/detected_objects" value="$(var input/objects)"/>
+      <arg name="input/obstacle_pointcloud" value="$(var input/obstacle_pointcloud)"/>
+      <arg name="output/objects" value="$(var output/objects)"/>
+      <arg name="obstacle_pointcloud_based_validator_param_path" value="$(var object_recognition_detection_obstacle_pointcloud_based_validator_param_path)"/>
+    </include>
+  </group>
+  <group if="$(eval &quot;'$(var objects_validation_method)'=='occupancy_grid'&quot;)">
+    <include file="$(find-pkg-share detected_object_validation)/launch/occupancy_grid_based_validator.launch.xml">
+      <arg name="input/detected_objects" value="$(var input/objects)"/>
+      <arg name="output/objects" value="$(var output/objects)"/>
+    </include>
+  </group>
+</launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/pointcloud_map_filter.launch.py b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/pointcloud_map_filter.launch.py
similarity index 100%
rename from launch/tier4_perception_launch/launch/object_recognition/detection/pointcloud_map_filter.launch.py
rename to launch/tier4_perception_launch/launch/object_recognition/detection/filter/pointcloud_map_filter.launch.py
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/radar_detector.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/radar_filter.launch.xml
similarity index 84%
rename from launch/tier4_perception_launch/launch/object_recognition/detection/detector/radar_detector.launch.xml
rename to launch/tier4_perception_launch/launch/object_recognition/detection/filter/radar_filter.launch.xml
index b09684281d33a..fe7ab70e9331e 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/detector/radar_detector.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/filter/radar_filter.launch.xml
@@ -1,14 +1,17 @@
 <?xml version="1.0"?>
 <launch>
-  <arg name="input/radar" default="/sensing/radar/detected_objects"/>
-  <arg name="output/objects" default="far_objects"/>
+  <!-- Parameters -->
   <arg name="radar_crossing_objects_noise_filter_param_path"/>
   <arg name="object_velocity_splitter_param_path" default="$(var object_recognition_detection_object_velocity_splitter_radar_param_path)"/>
   <arg name="object_range_splitter_param_path" default="$(var object_recognition_detection_object_range_splitter_radar_param_path)"/>
-  <arg name="radar_lanelet_filtering_range_param" default="$(find-pkg-share detected_object_validation)/config/object_lanelet_filter.param.yaml"/>
+  <arg name="radar_lanelet_filtering_range_param_path" default="$(find-pkg-share detected_object_validation)/config/object_lanelet_filter.param.yaml"/>
   <arg name="radar_object_clustering_param_path" default="$(find-pkg-share radar_object_clustering)/config/radar_object_clustering.param.yaml"/>
 
-  <!-- Detection for far dynamic objects -->
+  <!-- External interfaces -->
+  <arg name="input/radar"/>
+  <arg name="output/objects"/>
+
+  <!-- Radar filter pipeline -->
   <include file="$(find-pkg-share radar_crossing_objects_noise_filter)/launch/radar_crossing_objects_noise_filter.launch.xml">
     <arg name="input/objects" value="$(var input/radar)"/>
     <arg name="output/noise_objects" value="noise_objects"/>
@@ -33,7 +36,7 @@
   <include file="$(find-pkg-share detected_object_validation)/launch/object_lanelet_filter.launch.xml">
     <arg name="input/object" value="far_high_speed_objects"/>
     <arg name="output/object" value="lanelet_filtered_objects"/>
-    <arg name="filtering_range_param_path" value="$(var radar_lanelet_filtering_range_param_path)"/>
+    <arg name="filtering_range_param" value="$(var radar_lanelet_filtering_range_param_path)"/>
   </include>
 
   <include file="$(find-pkg-share radar_object_clustering)/launch/radar_object_clustering.launch.xml">
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_merger.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_merger.launch.xml
index 2f62e83ae0ef5..85b404ba89b1f 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_merger.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_merger.launch.xml
@@ -1,124 +1,152 @@
 <?xml version="1.0"?>
 <launch>
-  <!-- Merger parameters -->
-  <arg name="output/objects" default="objects"/>
-
-  <arg name="objects_validation_method" default="obstacle_pointcloud"/>
-  <arg name="objects_filter_method" default="lanelet_filter"/>
+  <!-- Parameters -->
   <arg name="object_recognition_detection_object_merger_data_association_matrix_param_path" default="$(find-pkg-share object_merger)/config/data_association_matrix.param.yaml"/>
   <arg name="object_recognition_detection_object_merger_distance_threshold_list_path" default="$(find-pkg-share object_merger)/config/overlapped_judge.param.yaml"/>
 
-  <arg name="use_object_filter" default="true" description="use object filter"/>
-  <arg name="use_validator" default="true" description="use obstacle_pointcloud based validator"/>
-
-  <!-- Lidar parameters -->
+  <!-- Pipeline junctions -->
   <arg name="lidar_detection_model"/>
+  <arg name="use_detection_by_tracker"/>
+
+  <arg name="use_validator"/>
+  <arg name="objects_validation_method"/>
   <arg name="use_pointcloud_map"/>
 
-  <!-- Camera late fusion -->
+  <arg name="use_object_filter" description="use object filter"/>
+  <arg name="objects_filter_method"/>
+  <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
+
+  <!-- external interfaces -->
+  <arg name="number_of_cameras"/>
+  <arg name="input/camera0/image"/>
+  <arg name="input/camera0/info"/>
+  <arg name="input/camera0/rois"/>
+  <arg name="input/camera1/image"/>
+  <arg name="input/camera1/info"/>
+  <arg name="input/camera1/rois"/>
+  <arg name="input/camera2/image"/>
+  <arg name="input/camera2/info"/>
+  <arg name="input/camera2/rois"/>
+  <arg name="input/camera3/image"/>
+  <arg name="input/camera3/info"/>
+  <arg name="input/camera3/rois"/>
+  <arg name="input/camera4/image"/>
+  <arg name="input/camera4/info"/>
+  <arg name="input/camera4/rois"/>
+  <arg name="input/camera5/image"/>
+  <arg name="input/camera5/info"/>
+  <arg name="input/camera5/rois"/>
+  <arg name="input/camera6/image"/>
+  <arg name="input/camera6/info"/>
+  <arg name="input/camera6/rois"/>
+  <arg name="input/camera7/image"/>
+  <arg name="input/camera7/info"/>
+  <arg name="input/camera7/rois"/>
+  <arg name="input/pointcloud_map/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud"/>
+  <arg name="input/lidar_ml/objects" default="$(var lidar_detection_model)/objects"/>
+  <arg name="input/lidar_rule/objects" default="clustering/camera_lidar_fusion/objects"/>
+  <arg name="input/detection_by_tracker/objects" default="detection_by_tracker/objects"/>
+  <arg name="output/objects" default="objects"/>
+
+  <!-- internal interfaces -->
+  <let name="camera_roi_fusion/input/objects" value="$(var input/lidar_ml/objects)"/>
+  <let name="camera_roi_fusion/output/objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+
+  <let name="validator/input/objects" value="$(var camera_roi_fusion/output/objects)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/pointcloud_map/pointcloud)" if="$(var use_pointcloud_map)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
+  <let name="validator/output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+
+  <let name="merger1/input/objects0" value="$(var validator/output/objects)" if="$(var use_validator)"/>
+  <let name="merger1/input/objects0" value="$(var input/lidar_ml/objects)" unless="$(var use_validator)"/>
+  <let name="merger1/input/objects1" value="$(var input/lidar_rule/objects)"/>
+  <let name="merger1/output/objects" value="$(var output/objects)" if="$(var without_dbt_and_filter)"/>
+  <let name="merger1/output/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var without_dbt_and_filter)"/>
+
+  <let name="merger2/input/objects0" value="$(var merger1/output/objects)"/>
+  <let name="merger2/input/objects1" value="$(var input/detection_by_tracker/objects)"/>
+  <let name="merger2/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
+  <let name="merger2/output/objects" value="$(var output/objects)" unless="$(var use_object_filter)"/>
+
+  <let name="filter/input/objects" value="$(var merger2/output/objects)" if="$(var use_detection_by_tracker)"/>
+  <let name="filter/input/objects" value="$(var merger1/output/objects)" unless="$(var use_detection_by_tracker)"/>
+  <let name="filter/output/objects" value="$(var output/objects)"/>
+
+  <!-- Camera ROI fusion -->
   <group>
-    <let name="target_objects" value="$(var lidar_detection_model)/objects"/>
     <include file="$(find-pkg-share image_projection_based_fusion)/launch/roi_detected_object_fusion.launch.xml">
-      <arg name="input/camera_info0" value="$(var camera_info0)"/>
-      <arg name="input/rois0" value="$(var detection_rois0)"/>
-      <arg name="input/camera_info1" value="$(var camera_info1)"/>
-      <arg name="input/rois1" value="$(var detection_rois1)"/>
-      <arg name="input/camera_info2" value="$(var camera_info2)"/>
-      <arg name="input/rois2" value="$(var detection_rois2)"/>
-      <arg name="input/camera_info3" value="$(var camera_info3)"/>
-      <arg name="input/rois3" value="$(var detection_rois3)"/>
-      <arg name="input/camera_info4" value="$(var camera_info4)"/>
-      <arg name="input/rois4" value="$(var detection_rois4)"/>
-      <arg name="input/camera_info5" value="$(var camera_info5)"/>
-      <arg name="input/rois5" value="$(var detection_rois5)"/>
-      <arg name="input/camera_info6" value="$(var camera_info6)"/>
-      <arg name="input/rois6" value="$(var detection_rois6)"/>
-      <arg name="input/camera_info7" value="$(var camera_info7)"/>
-      <arg name="input/rois7" value="$(var detection_rois7)"/>
-      <arg name="input/rois_number" value="$(var image_number)"/>
-      <arg name="input/image0" value="$(var image_raw0)"/>
-      <arg name="input/image1" value="$(var image_raw1)"/>
-      <arg name="input/image2" value="$(var image_raw2)"/>
-      <arg name="input/image3" value="$(var image_raw3)"/>
-      <arg name="input/image4" value="$(var image_raw4)"/>
-      <arg name="input/image5" value="$(var image_raw5)"/>
-      <arg name="input/image6" value="$(var image_raw6)"/>
-      <arg name="input/image7" value="$(var image_raw7)"/>
-      <arg name="input/objects" value="$(var target_objects)"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+      <arg name="input/rois_number" value="$(var number_of_cameras)"/>
+      <arg name="input/rois0" value="$(var input/camera0/rois)"/>
+      <arg name="input/rois1" value="$(var input/camera1/rois)"/>
+      <arg name="input/rois2" value="$(var input/camera2/rois)"/>
+      <arg name="input/rois3" value="$(var input/camera3/rois)"/>
+      <arg name="input/rois4" value="$(var input/camera4/rois)"/>
+      <arg name="input/rois5" value="$(var input/camera5/rois)"/>
+      <arg name="input/rois6" value="$(var input/camera6/rois)"/>
+      <arg name="input/rois7" value="$(var input/camera7/rois)"/>
+      <arg name="input/camera_info0" value="$(var input/camera0/info)"/>
+      <arg name="input/camera_info1" value="$(var input/camera1/info)"/>
+      <arg name="input/camera_info2" value="$(var input/camera2/info)"/>
+      <arg name="input/camera_info3" value="$(var input/camera3/info)"/>
+      <arg name="input/camera_info4" value="$(var input/camera4/info)"/>
+      <arg name="input/camera_info5" value="$(var input/camera5/info)"/>
+      <arg name="input/camera_info6" value="$(var input/camera6/info)"/>
+      <arg name="input/camera_info7" value="$(var input/camera7/info)"/>
+      <arg name="input/image0" value="$(var input/camera0/image)"/>
+      <arg name="input/image1" value="$(var input/camera1/image)"/>
+      <arg name="input/image2" value="$(var input/camera2/image)"/>
+      <arg name="input/image3" value="$(var input/camera3/image)"/>
+      <arg name="input/image4" value="$(var input/camera4/image)"/>
+      <arg name="input/image5" value="$(var input/camera5/image)"/>
+      <arg name="input/image6" value="$(var input/camera6/image)"/>
+      <arg name="input/image7" value="$(var input/camera7/image)"/>
+      <arg name="input/objects" value="$(var camera_roi_fusion/input/objects)"/>
+      <arg name="output/objects" value="$(var camera_roi_fusion/output/objects)"/>
       <arg name="param_path" value="$(var roi_detected_object_fusion_param_path)"/>
     </include>
   </group>
 
   <!-- Validator -->
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='obstacle_pointcloud'&quot;)">
-    <let name="validator/input/obstacle_pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud" if="$(var use_pointcloud_map)"/>
-    <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/obstacle_pointcloud_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+  <group if="$(var use_validator)">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_validator.launch.xml">
       <arg name="input/obstacle_pointcloud" value="$(var validator/input/obstacle_pointcloud)"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
-      <arg name="obstacle_pointcloud_based_validator_param_path" value="$(var object_recognition_detection_obstacle_pointcloud_based_validator_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='occupancy_grid'&quot;)">
-    <include file="$(find-pkg-share detected_object_validation)/launch/occupancy_grid_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/objects"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+      <arg name="input/objects" value="$(var validator/input/objects)"/>
+      <arg name="output/objects" value="$(var validator/output/objects)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
     </include>
   </group>
 
-  <!-- Merger -->
+  <!-- 1st merger: camera_lidar_fusion + lidar cluster-->
   <group>
-    <!-- 1st merger to merge camera_lidar_fusion + ML lidar detection-->
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/validation/objects" if="$(var use_validator)"/>
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/objects" unless="$(var use_validator)"/>
-    <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
-    <let name="merger/output/objects" value="$(var output/objects)" if="$(var without_dbt_and_filter)"/>
-    <let name="merger/output/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var without_dbt_and_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="$(var merger/input/objects)"/>
-      <arg name="input/object1" value="clustering/camera_lidar_fusion/objects"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
+      <arg name="input/object0" value="$(var merger1/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger1/input/objects1)"/>
+      <arg name="output/object" value="$(var merger1/output/objects)"/>
       <arg name="priority_mode" value="0"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
+  <!-- 2nd merger: + detection_by_tracker -->
   <group if="$(var use_detection_by_tracker)">
-    <!-- 2nd merger to merge detection_by_tracker -->
-    <let name="merger/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
-    <let name="merger/output/objects" value="$(var output/objects)" unless="$(var use_object_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="$(var lidar_detection_model)_roi_cluster_fusion/objects"/>
-      <arg name="input/object1" value="detection_by_tracker/objects"/>
+      <arg name="input/object0" value="$(var merger2/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger2/input/objects1)"/>
+      <arg name="output/object" value="$(var merger2/output/objects)"/>
       <arg name="priority_mode" value="0"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
   <!-- Filter -->
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='lanelet_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_lanelet_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output/objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_lanelet_filter_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='position_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_position_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output/objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_position_filter_param_path)"/>
+  <group>
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_filter.launch.xml" if="$(var use_object_filter)">
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="input/objects" value="$(var filter/input/objects)"/>
+      <arg name="output/objects" value="$(var filter/output/objects)"/>
     </include>
   </group>
 </launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_radar_merger.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_radar_merger.launch.xml
index b4d19c9052a63..16ec8f8fbd573 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_radar_merger.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/camera_lidar_radar_merger.launch.xml
@@ -1,150 +1,186 @@
 <?xml version="1.0"?>
 <launch>
-  <!-- Merger parameters -->
-  <arg name="output/objects" default="objects"/>
-
-  <arg name="objects_validation_method" default="obstacle_pointcloud"/>
-  <arg name="objects_filter_method" default="lanelet_filter"/>
+  <!-- Parameters -->
   <arg name="object_recognition_detection_object_merger_data_association_matrix_param_path" default="$(find-pkg-share object_merger)/config/data_association_matrix.param.yaml"/>
   <arg name="object_recognition_detection_object_merger_distance_threshold_list_path" default="$(find-pkg-share object_merger)/config/overlapped_judge.param.yaml"/>
-
-  <arg name="use_object_filter" default="true" description="use object filter"/>
-  <arg name="use_validator" default="true" description="use obstacle_pointcloud based validator"/>
-  <arg name="use_near_radar_fusion" default="false"/>
   <arg name="far_object_merger_sync_queue_size" default="20"/>
 
-  <!-- Filter output name. Switch output topic name by 'use_radar_tracking_fusion' parameter defined in perception.launch -->
-  <let name="output_of_filtered_objects" value="$(var output/objects)" if="$(var use_radar_tracking_fusion)"/>
-  <let name="output_of_filtered_objects" value="near_objects" unless="$(var use_radar_tracking_fusion)"/>
-
-  <!-- Lidar parameters -->
+  <!-- Pipeline junctions -->
   <arg name="lidar_detection_model"/>
+  <arg name="use_radar_tracking_fusion"/>
+  <arg name="use_detection_by_tracker"/>
+  <arg name="use_near_radar_fusion" default="false"/>
+
+  <arg name="use_validator"/>
+  <arg name="objects_validation_method"/>
   <arg name="use_pointcloud_map"/>
 
+  <arg name="use_object_filter" description="use object filter"/>
+  <arg name="objects_filter_method"/>
+  <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
+
+  <!-- external interfaces -->
+  <arg name="number_of_cameras"/>
+  <arg name="input/camera0/image"/>
+  <arg name="input/camera0/info"/>
+  <arg name="input/camera0/rois"/>
+  <arg name="input/camera1/image"/>
+  <arg name="input/camera1/info"/>
+  <arg name="input/camera1/rois"/>
+  <arg name="input/camera2/image"/>
+  <arg name="input/camera2/info"/>
+  <arg name="input/camera2/rois"/>
+  <arg name="input/camera3/image"/>
+  <arg name="input/camera3/info"/>
+  <arg name="input/camera3/rois"/>
+  <arg name="input/camera4/image"/>
+  <arg name="input/camera4/info"/>
+  <arg name="input/camera4/rois"/>
+  <arg name="input/camera5/image"/>
+  <arg name="input/camera5/info"/>
+  <arg name="input/camera5/rois"/>
+  <arg name="input/camera6/image"/>
+  <arg name="input/camera6/info"/>
+  <arg name="input/camera6/rois"/>
+  <arg name="input/camera7/image"/>
+  <arg name="input/camera7/info"/>
+  <arg name="input/camera7/rois"/>
+  <arg name="input/pointcloud_map/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud"/>
+  <arg name="input/lidar_ml/objects" default="$(var lidar_detection_model)/objects"/>
+  <arg name="input/lidar_rule/objects" default="clustering/camera_lidar_fusion/objects"/>
+  <arg name="input/radar_near/objects" default="radar/noise_filtered_objects"/>
+  <arg name="input/radar_far/objects" default="radar/far_objects"/>
+  <arg name="input/detection_by_tracker/objects" default="detection_by_tracker/objects"/>
+  <arg name="output/objects" default="objects"/>
+
+  <!-- internal interfaces -->
+  <let name="radar_objects_fusion/input/objects" value="$(var input/lidar_ml/objects)"/>
+  <let name="radar_objects_fusion/input/radars" value="$(var input/radar_near/objects)"/>
+  <let name="radar_objects_fusion/output/objects" value="radar_fusion/objects"/>
+
+  <let name="camera_roi_fusion/input/objects" value="$(var radar_objects_fusion/output/objects)" if="$(var use_near_radar_fusion)"/>
+  <let name="camera_roi_fusion/input/objects" value="$(var input/lidar_ml/objects)" unless="$(var use_near_radar_fusion)"/>
+  <let name="camera_roi_fusion/output/objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+
+  <let name="validator/input/objects" value="$(var camera_roi_fusion/output/objects)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/pointcloud_map/pointcloud)" if="$(var use_pointcloud_map)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
+  <let name="validator/output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+
+  <let name="merger1/input/objects0" value="$(var validator/output/objects)" if="$(var use_validator)"/>
+  <let name="merger1/input/objects0" value="$(var input/lidar_ml/objects)" unless="$(var use_validator)"/>
+  <let name="merger1/input/objects1" value="$(var input/lidar_rule/objects)"/>
+  <let name="merger1/output/objects" value="$(var output/objects)" if="$(var without_dbt_and_filter)"/>
+  <let name="merger1/output/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var without_dbt_and_filter)"/>
+
+  <let name="merger2/input/objects0" value="$(var merger1/output/objects)"/>
+  <let name="merger2/input/objects1" value="$(var input/detection_by_tracker/objects)"/>
+  <let name="merger2/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
+  <let name="merger2/output/objects" value="$(var output/objects)" unless="$(var use_object_filter)"/>
+
+  <let name="filter/input/objects" value="$(var merger2/output/objects)" if="$(var use_detection_by_tracker)"/>
+  <let name="filter/input/objects" value="$(var merger1/output/objects)" unless="$(var use_detection_by_tracker)"/>
+  <let name="filter/output/objects" value="$(var output/objects)"/>
+
+  <let name="merger3/input/objects0" value="near_objects"/>
+  <let name="merger3/input/objects1" value="$(var input/radar_far/objects)"/>
+  <let name="merger3/output/objects" value="$(var output/objects)"/>
+
   <!-- Radar fusion -->
   <group>
     <include file="$(find-pkg-share radar_fusion_to_detected_object)/launch/radar_object_fusion_to_detected_object.launch.xml" if="$(var use_near_radar_fusion)">
-      <arg name="input/objects" value="$(var lidar_detection_model)/objects"/>
-      <arg name="input/radars" value="radar/noise_filtered_objects"/>
-      <arg name="output/objects" value="radar_fusion/objects"/>
+      <arg name="input/objects" value="$(var radar_objects_fusion/input/objects)"/>
+      <arg name="input/radars" value="$(var radar_objects_fusion/input/radars)"/>
+      <arg name="output/objects" value="$(var radar_objects_fusion/output/objects)"/>
     </include>
   </group>
 
-  <!-- Camera late fusion -->
+  <!-- Camera ROI fusion -->
   <group>
-    <let name="target_objects" value="radar_fusion/objects" if="$(var use_near_radar_fusion)"/>
-    <let name="target_objects" value="$(var lidar_detection_model)/objects" unless="$(var use_near_radar_fusion)"/>
     <include file="$(find-pkg-share image_projection_based_fusion)/launch/roi_detected_object_fusion.launch.xml">
-      <arg name="input/camera_info0" value="$(var camera_info0)"/>
-      <arg name="input/rois0" value="$(var detection_rois0)"/>
-      <arg name="input/camera_info1" value="$(var camera_info1)"/>
-      <arg name="input/rois1" value="$(var detection_rois1)"/>
-      <arg name="input/camera_info2" value="$(var camera_info2)"/>
-      <arg name="input/rois2" value="$(var detection_rois2)"/>
-      <arg name="input/camera_info3" value="$(var camera_info3)"/>
-      <arg name="input/rois3" value="$(var detection_rois3)"/>
-      <arg name="input/camera_info4" value="$(var camera_info4)"/>
-      <arg name="input/rois4" value="$(var detection_rois4)"/>
-      <arg name="input/camera_info5" value="$(var camera_info5)"/>
-      <arg name="input/rois5" value="$(var detection_rois5)"/>
-      <arg name="input/camera_info6" value="$(var camera_info6)"/>
-      <arg name="input/rois6" value="$(var detection_rois6)"/>
-      <arg name="input/camera_info7" value="$(var camera_info7)"/>
-      <arg name="input/rois7" value="$(var detection_rois7)"/>
-      <arg name="input/rois_number" value="$(var image_number)"/>
-      <arg name="input/image0" value="$(var image_raw0)"/>
-      <arg name="input/image1" value="$(var image_raw1)"/>
-      <arg name="input/image2" value="$(var image_raw2)"/>
-      <arg name="input/image3" value="$(var image_raw3)"/>
-      <arg name="input/image4" value="$(var image_raw4)"/>
-      <arg name="input/image5" value="$(var image_raw5)"/>
-      <arg name="input/image6" value="$(var image_raw6)"/>
-      <arg name="input/image7" value="$(var image_raw7)"/>
-      <arg name="input/objects" value="$(var target_objects)"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+      <arg name="input/rois_number" value="$(var number_of_cameras)"/>
+      <arg name="input/rois0" value="$(var input/camera0/rois)"/>
+      <arg name="input/rois1" value="$(var input/camera1/rois)"/>
+      <arg name="input/rois2" value="$(var input/camera2/rois)"/>
+      <arg name="input/rois3" value="$(var input/camera3/rois)"/>
+      <arg name="input/rois4" value="$(var input/camera4/rois)"/>
+      <arg name="input/rois5" value="$(var input/camera5/rois)"/>
+      <arg name="input/rois6" value="$(var input/camera6/rois)"/>
+      <arg name="input/rois7" value="$(var input/camera7/rois)"/>
+      <arg name="input/camera_info0" value="$(var input/camera0/info)"/>
+      <arg name="input/camera_info1" value="$(var input/camera1/info)"/>
+      <arg name="input/camera_info2" value="$(var input/camera2/info)"/>
+      <arg name="input/camera_info3" value="$(var input/camera3/info)"/>
+      <arg name="input/camera_info4" value="$(var input/camera4/info)"/>
+      <arg name="input/camera_info5" value="$(var input/camera5/info)"/>
+      <arg name="input/camera_info6" value="$(var input/camera6/info)"/>
+      <arg name="input/camera_info7" value="$(var input/camera7/info)"/>
+      <arg name="input/image0" value="$(var input/camera0/image)"/>
+      <arg name="input/image1" value="$(var input/camera1/image)"/>
+      <arg name="input/image2" value="$(var input/camera2/image)"/>
+      <arg name="input/image3" value="$(var input/camera3/image)"/>
+      <arg name="input/image4" value="$(var input/camera4/image)"/>
+      <arg name="input/image5" value="$(var input/camera5/image)"/>
+      <arg name="input/image6" value="$(var input/camera6/image)"/>
+      <arg name="input/image7" value="$(var input/camera7/image)"/>
+      <arg name="input/objects" value="$(var camera_roi_fusion/input/objects)"/>
+      <arg name="output/objects" value="$(var camera_roi_fusion/output/objects)"/>
       <arg name="param_path" value="$(var roi_detected_object_fusion_param_path)"/>
     </include>
   </group>
 
   <!-- Validator -->
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='obstacle_pointcloud'&quot;)">
-    <let name="validator/input/obstacle_pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud" if="$(var use_pointcloud_map)"/>
-    <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/obstacle_pointcloud_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/roi_fusion/objects"/>
+  <group if="$(var use_validator)">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_validator.launch.xml">
       <arg name="input/obstacle_pointcloud" value="$(var validator/input/obstacle_pointcloud)"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
-      <arg name="obstacle_pointcloud_based_validator_param_path" value="$(var object_recognition_detection_obstacle_pointcloud_based_validator_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='occupancy_grid'&quot;)">
-    <include file="$(find-pkg-share detected_object_validation)/launch/occupancy_grid_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/objects"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+      <arg name="input/objects" value="$(var validator/input/objects)"/>
+      <arg name="output/objects" value="$(var validator/output/objects)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
     </include>
   </group>
 
-  <!-- Merger -->
+  <!-- 1st merger -->
   <group>
-    <!-- 1st merger to merge camera_lidar_fusion + ML lidar detection-->
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/validation/objects" if="$(var use_validator)"/>
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/objects" unless="$(var use_validator)"/>
-    <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
-    <let name="merger/output/objects" value="near_objects" if="$(var without_dbt_and_filter)"/>
-    <let name="merger/output/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var without_dbt_and_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="$(var merger/input/objects)"/>
-      <arg name="input/object1" value="clustering/camera_lidar_fusion/objects"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
+      <arg name="input/object0" value="$(var merger1/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger1/input/objects1)"/>
+      <arg name="output/object" value="$(var merger1/output/objects)"/>
       <arg name="priority_mode" value="0"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
+  <!-- 2nd merger: + detection_by_tracker -->
   <group if="$(var use_detection_by_tracker)">
-    <!-- 2nd merger to merge detection_by_tracker -->
-    <let name="merger/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
-    <let name="merger/output/objects" value="near_objects" unless="$(var use_object_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="$(var lidar_detection_model)_roi_cluster_fusion/objects"/>
-      <arg name="input/object1" value="detection_by_tracker/objects"/>
+      <arg name="input/object0" value="$(var merger2/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger2/input/objects1)"/>
+      <arg name="output/object" value="$(var merger2/output/objects)"/>
       <arg name="priority_mode" value="0"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
   <!-- Filter -->
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='lanelet_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_lanelet_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output_of_filtered_objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_lanelet_filter_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='position_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="$(var lidar_detection_model)_roi_cluster_fusion/objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_position_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output_of_filtered_objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_position_filter_param_path)"/>
+  <group>
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_filter.launch.xml" if="$(var use_object_filter)">
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="input/objects" value="$(var filter/input/objects)"/>
+      <arg name="output/objects" value="$(var filter/output/objects)"/>
     </include>
   </group>
 
+  <!-- 3rd merger: + radar -->
   <!-- Merge far_objects and near_objects in detection stage.
       Control parameter 'use_radar_tracking_fusion' should defined in perception.launch.xml -->
   <group unless="$(var use_radar_tracking_fusion)">
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="near_objects"/>
-      <arg name="input/object1" value="radar/far_objects"/>
-      <arg name="output/object" value="$(var output/objects)"/>
+      <arg name="input/object0" value="$(var merger3/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger3/input/objects1)"/>
+      <arg name="output/object" value="$(var merger3/output/objects)"/>
       <arg name="priority_mode" value="0"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/lidar_merger.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/lidar_merger.launch.xml
index 0ecc89c8743e8..c82de41a28b50 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/detection/merger/lidar_merger.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/detection/merger/lidar_merger.launch.xml
@@ -1,89 +1,90 @@
 <?xml version="1.0"?>
 <launch>
-  <!-- Merger parameters -->
-  <arg name="output/objects" default="objects"/>
-
-  <arg name="objects_validation_method" default="obstacle_pointcloud"/>
-  <arg name="objects_filter_method" default="lanelet_filter"/>
+  <!-- Parameters -->
   <arg name="object_recognition_detection_object_merger_data_association_matrix_param_path" default="$(find-pkg-share object_merger)/config/data_association_matrix.param.yaml"/>
   <arg name="object_recognition_detection_object_merger_distance_threshold_list_path" default="$(find-pkg-share object_merger)/config/overlapped_judge.param.yaml"/>
 
-  <arg name="use_object_filter" default="true" description="use object filter"/>
-  <arg name="use_validator" default="true" description="use obstacle_pointcloud based validator"/>
-
-  <!-- Lidar parameters -->
+  <!-- Pipeline junctions -->
   <arg name="lidar_detection_model"/>
+  <arg name="use_detection_by_tracker"/>
+
+  <arg name="use_validator" description="use obstacle_pointcloud based validator"/>
+  <arg name="objects_validation_method"/>
   <arg name="use_pointcloud_map"/>
 
+  <arg name="use_object_filter" description="use object filter"/>
+  <arg name="objects_filter_method"/>
+  <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
+
+  <!-- external interfaces -->
+  <arg name="input/pointcloud_map/pointcloud"/>
+  <arg name="input/obstacle_segmentation/pointcloud"/>
+  <arg name="input/lidar_ml/objects" default="$(var lidar_detection_model)/objects"/>
+  <arg name="input/lidar_rule/objects" default="clustering/objects"/>
+  <arg name="input/detection_by_tracker/objects" default="detection_by_tracker/objects"/>
+  <arg name="output/objects"/>
+
+  <!-- internal interfaces -->
+  <let name="validator/input/objects" value="$(var input/lidar_ml/objects)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/pointcloud_map/pointcloud)" if="$(var use_pointcloud_map)"/>
+  <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
+  <let name="validator/output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+
+  <let name="merger1/input/objects0" value="$(var validator/output/objects)" if="$(var use_validator)"/>
+  <let name="merger1/input/objects0" value="$(var input/lidar_ml/objects)" unless="$(var use_validator)"/>
+  <let name="merger1/input/objects1" value="$(var input/lidar_rule/objects)"/>
+  <let name="merger1/output/objects" value="$(var output/objects)" if="$(var without_dbt_and_filter)"/>
+  <let name="merger1/output/objects" value="temporary_merged_objects" unless="$(var without_dbt_and_filter)"/>
+
+  <let name="merger2/input/objects0" value="$(var merger1/output/objects)"/>
+  <let name="merger2/input/objects1" value="$(var input/detection_by_tracker/objects)"/>
+  <let name="merger2/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
+  <let name="merger2/output/objects" value="$(var output/objects)" unless="$(var use_object_filter)"/>
+
+  <let name="filter/input/objects" value="$(var merger2/output/objects)" if="$(var use_detection_by_tracker)"/>
+  <let name="filter/input/objects" value="$(var merger1/output/objects)" unless="$(var use_detection_by_tracker)"/>
+  <let name="filter/output/objects" value="$(var output/objects)"/>
+
   <!-- Validator -->
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='obstacle_pointcloud'&quot;)">
-    <let name="validator/input/obstacle_pointcloud" value="/perception/object_recognition/detection/pointcloud_map_filtered/pointcloud" if="$(var use_pointcloud_map)"/>
-    <let name="validator/input/obstacle_pointcloud" value="$(var input/obstacle_segmentation/pointcloud)" unless="$(var use_pointcloud_map)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/obstacle_pointcloud_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/objects"/>
+  <group if="$(var use_validator)">
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_validator.launch.xml">
       <arg name="input/obstacle_pointcloud" value="$(var validator/input/obstacle_pointcloud)"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
-      <arg name="obstacle_pointcloud_based_validator_param_path" value="$(var object_recognition_detection_obstacle_pointcloud_based_validator_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_validation_method)'=='occupancy_grid'&quot;)">
-    <include file="$(find-pkg-share detected_object_validation)/launch/occupancy_grid_based_validator.launch.xml" if="$(var use_validator)">
-      <arg name="input/detected_objects" value="$(var lidar_detection_model)/objects"/>
-      <arg name="output/objects" value="$(var lidar_detection_model)/validation/objects"/>
+      <arg name="input/objects" value="$(var validator/input/objects)"/>
+      <arg name="output/objects" value="$(var validator/output/objects)"/>
+      <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
     </include>
   </group>
 
-  <!-- Merger -->
+  <!-- 1st merger: ML detection + pointcloud cluster -->
   <group>
-    <!-- 1st merger to merge clustering + ML lidar detection-->
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/validation/objects" if="$(var use_validator)"/>
-    <let name="merger/input/objects" value="$(var lidar_detection_model)/objects" unless="$(var use_validator)"/>
-    <let name="without_dbt_and_filter" value="$(eval &quot;'$(var use_detection_by_tracker)'=='false' and '$(var use_object_filter)'=='false' &quot;)"/>
-    <let name="merger/output/objects" value="temporary_merged_objects" unless="$(var without_dbt_and_filter)"/>
-    <let name="merger/output/objects" value="$(var output/objects)" if="$(var without_dbt_and_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="$(var merger/input/objects)"/>
-      <arg name="input/object1" value="clustering/objects"/>
+      <arg name="input/object0" value="$(var merger1/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger1/input/objects1)"/>
+      <arg name="output/object" value="$(var merger1/output/objects)"/>
       <arg name="priority_mode" value="2"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
+  <!-- 2nd merger: + detection_by_tracker -->
   <group if="$(var use_detection_by_tracker)">
-    <!-- 2nd merger to merge detection_by_tracker -->
-    <let name="merger/output/objects" value="objects_before_filter" if="$(var use_object_filter)"/>
-    <let name="merger/output/objects" value="$(var output/objects)" unless="$(var use_object_filter)"/>
     <include file="$(find-pkg-share object_merger)/launch/object_association_merger.launch.xml">
-      <arg name="input/object0" value="temporary_merged_objects"/>
-      <arg name="input/object1" value="detection_by_tracker/objects"/>
+      <arg name="input/object0" value="$(var merger2/input/objects0)"/>
+      <arg name="input/object1" value="$(var merger2/input/objects1)"/>
+      <arg name="output/object" value="$(var merger2/output/objects)"/>
       <arg name="priority_mode" value="0"/>
-      <arg name="output/object" value="$(var merger/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_detection_object_merger_data_association_matrix_param_path)"/>
       <arg name="distance_threshold_list_path" value="$(var object_recognition_detection_object_merger_distance_threshold_list_path)"/>
     </include>
   </group>
 
   <!-- Filter -->
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='lanelet_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="temporary_merged_objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_lanelet_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output/objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_lanelet_filter_param_path)"/>
-    </include>
-  </group>
-
-  <group if="$(eval &quot;'$(var objects_filter_method)'=='position_filter'&quot;)">
-    <let name="filter/input/objects" value="objects_before_filter" if="$(var use_detection_by_tracker)"/>
-    <let name="filter/input/objects" value="temporary_merged_objects" unless="$(var use_detection_by_tracker)"/>
-    <include file="$(find-pkg-share detected_object_validation)/launch/object_position_filter.launch.xml" if="$(var use_object_filter)">
-      <arg name="input/object" value="$(var filter/input/objects)"/>
-      <arg name="output/object" value="$(var output/objects)"/>
-      <arg name="filtering_range_param" value="$(var object_recognition_detection_object_position_filter_param_path)"/>
+  <group>
+    <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/filter/object_filter.launch.xml" if="$(var use_object_filter)">
+      <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
+      <arg name="input/objects" value="$(var filter/input/objects)"/>
+      <arg name="output/objects" value="$(var filter/output/objects)"/>
     </include>
   </group>
 </launch>
diff --git a/launch/tier4_perception_launch/launch/object_recognition/tracking/tracking.launch.xml b/launch/tier4_perception_launch/launch/object_recognition/tracking/tracking.launch.xml
index cf11c65ac805c..b8172daa616fa 100644
--- a/launch/tier4_perception_launch/launch/object_recognition/tracking/tracking.launch.xml
+++ b/launch/tier4_perception_launch/launch/object_recognition/tracking/tracking.launch.xml
@@ -1,41 +1,50 @@
 <?xml version="1.0"?>
 <launch>
-  <arg name="mode" default="lidar" description="options: `camera_lidar_radar_fusion`, `camera_lidar_fusion`, `lidar_radar_fusion`, `lidar` or `radar`"/>
-
   <!-- Radar Tracking and Merger parameters -->
-  <arg name="use_radar_tracking_fusion" default="false" description="use radar tracking fusion"/>
-  <arg name="radar_tracker_input" default="/perception/object_recognition/detection/radar/far_objects"/>
-  <arg name="radar_tracker_output" default="/perception/object_recognition/tracking/radar/far_objects"/>
   <arg name="object_recognition_tracking_radar_object_tracker_data_association_matrix_param_path" description="association param file for radar far object tracking"/>
   <arg name="object_recognition_tracking_radar_object_tracker_tracking_setting_param_path" description="tracking setting param file for radar far object tracking"/>
   <arg name="object_recognition_tracking_radar_object_tracker_node_param_path" description="node param file for radar far object tracking"/>
   <arg name="object_recognition_tracking_object_merger_data_association_matrix_param_path" description="association param file for radar and lidar object merger"/>
   <arg name="object_recognition_tracking_object_merger_node_param_path" description="node param file for radar and lidar object merger"/>
 
-  <!-- Run without tracking merger-->
-  <group unless="$(var use_radar_tracking_fusion)">
-    <!--multi object tracking-->
-    <include file="$(find-pkg-share multi_object_tracker)/launch/multi_object_tracker.launch.xml">
-      <arg name="data_association_matrix_path" value="$(var object_recognition_tracking_multi_object_tracker_data_association_matrix_param_path)"/>
-      <arg name="input_channels_path" value="$(var object_recognition_tracking_multi_object_tracker_input_channels_param_path)"/>
-      <arg name="tracker_setting_path" value="$(var object_recognition_tracking_multi_object_tracker_node_param_path)"/>
-    </include>
-  </group>
+  <!-- Pipeline junctions -->
+  <arg name="mode" default="lidar" description="options: `camera_lidar_radar_fusion`, `camera_lidar_fusion`, `lidar_radar_fusion`, `lidar` or `radar`"/>
+  <arg name="use_radar_tracking_fusion" default="false" description="use radar tracking fusion"/>
+  <let name="use_radar_tracking_fusion" value="false" if="$(eval '&quot;$(var mode)&quot;!=&quot;camera_lidar_radar_fusion&quot;')"/>
+
+  <!-- External interface -->
+  <arg name="input/detection_input_channels" default="['detected_objects']"/>
+  <!-- detection_input_channels: Input channels for multi object tracker, reference: multi_object_tracker/config/input_channels.param.yaml -->
+  <arg name="input/radar/objects" default="/perception/object_recognition/detection/radar/far_objects"/>
+  <arg name="output/objects" default="/perception/object_recognition/tracking/objects"/>
+
+  <!-- Internal interface -->
+  <let name="radar_tracker/input/objects" value="$(var input/radar/objects)"/>
+  <let name="radar_tracker/output/objects" value="/perception/object_recognition/tracking/radar/far_objects"/>
+
+  <let name="multi_object_tracker/input/selected_input_channels" value="$(var input/detection_input_channels)"/>
+  <let name="multi_object_tracker/output/objects" value="$(var output/objects)" unless="$(var use_radar_tracking_fusion)"/>
+  <let name="multi_object_tracker/output/objects" value="/perception/object_recognition/tracking/near_objects" if="$(var use_radar_tracking_fusion)"/>
+
+  <let name="tracker_merger/input/main_objects" value="$(var multi_object_tracker/output/objects)"/>
+  <let name="tracker_merger/input/sub_objects" value="$(var radar_tracker/output/objects)"/>
+  <let name="tracker_merger/output/objects" value="$(var output/objects)"/>
+
+  <!--Multi object tracking-->
+  <include file="$(find-pkg-share multi_object_tracker)/launch/multi_object_tracker.launch.xml">
+    <arg name="selected_input_channels" value="$(var multi_object_tracker/input/selected_input_channels)"/>
+    <arg name="output" value="$(var multi_object_tracker/output/objects)"/>
+    <arg name="data_association_matrix_path" value="$(var object_recognition_tracking_multi_object_tracker_data_association_matrix_param_path)"/>
+    <arg name="input_channels_path" value="$(var object_recognition_tracking_multi_object_tracker_input_channels_param_path)"/>
+    <arg name="tracker_setting_path" value="$(var object_recognition_tracking_multi_object_tracker_node_param_path)"/>
+  </include>
 
   <!-- Run with tracking merger to add far radar information -->
   <group if="$(var use_radar_tracking_fusion)">
-    <!--multi object tracking for near objects-->
-    <include file="$(find-pkg-share multi_object_tracker)/launch/multi_object_tracker.launch.xml">
-      <arg name="data_association_matrix_path" value="$(var object_recognition_tracking_multi_object_tracker_data_association_matrix_param_path)"/>
-      <arg name="input_channels_path" value="$(var object_recognition_tracking_multi_object_tracker_input_channels_param_path)"/>
-      <arg name="tracker_setting_path" value="$(var object_recognition_tracking_multi_object_tracker_node_param_path)"/>
-      <arg name="output" value="/perception/object_recognition/tracking/near_objects"/>
-    </include>
-
     <!--radar long range dynamic object tracking-->
     <include file="$(find-pkg-share radar_object_tracker)/launch/radar_object_tracker.launch.xml">
-      <arg name="input" value="$(var radar_tracker_input)"/>
-      <arg name="output" value="$(var radar_tracker_output)"/>
+      <arg name="input" value="$(var radar_tracker/input/objects)"/>
+      <arg name="output" value="$(var radar_tracker/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_tracking_radar_object_tracker_data_association_matrix_param_path)"/>
       <arg name="tracker_setting_path" value="$(var object_recognition_tracking_radar_object_tracker_tracking_setting_param_path)"/>
       <arg name="radar_object_tracker_param_path" value="$(var object_recognition_tracking_radar_object_tracker_node_param_path)"/>
@@ -43,9 +52,9 @@
 
     <!--tracking object merger to merge near objects and far objects -->
     <include file="$(find-pkg-share tracking_object_merger)/launch/decorative_tracker_merger.launch.xml">
-      <arg name="input/main_object" value="/perception/object_recognition/tracking/near_objects"/>
-      <arg name="input/sub_object" value="$(var radar_tracker_output)"/>
-      <arg name="output" value="/perception/object_recognition/tracking/objects"/>
+      <arg name="input/main_object" value="$(var tracker_merger/input/main_objects)"/>
+      <arg name="input/sub_object" value="$(var tracker_merger/input/sub_objects)"/>
+      <arg name="output" value="$(var tracker_merger/output/objects)"/>
       <arg name="data_association_matrix_path" value="$(var object_recognition_tracking_object_merger_data_association_matrix_param_path)"/>
       <arg name="node_param_file_path" value="$(var object_recognition_tracking_object_merger_node_param_path)"/>
     </include>
diff --git a/launch/tier4_perception_launch/launch/obstacle_segmentation/ground_segmentation/ground_segmentation.launch.py b/launch/tier4_perception_launch/launch/obstacle_segmentation/ground_segmentation/ground_segmentation.launch.py
index a307b192d7caa..25fb1e6ac6c4d 100644
--- a/launch/tier4_perception_launch/launch/obstacle_segmentation/ground_segmentation/ground_segmentation.launch.py
+++ b/launch/tier4_perception_launch/launch/obstacle_segmentation/ground_segmentation/ground_segmentation.launch.py
@@ -501,9 +501,11 @@ def launch_setup(context, *args, **kwargs):
     components.extend(
         pipeline.create_single_frame_obstacle_segmentation_components(
             input_topic=LaunchConfiguration("input/pointcloud"),
-            output_topic=pipeline.single_frame_obstacle_seg_output
-            if pipeline.use_single_frame_filter or pipeline.use_time_series_filter
-            else pipeline.output_topic,
+            output_topic=(
+                pipeline.single_frame_obstacle_seg_output
+                if pipeline.use_single_frame_filter or pipeline.use_time_series_filter
+                else pipeline.output_topic
+            ),
         )
     )
 
@@ -512,18 +514,20 @@ def launch_setup(context, *args, **kwargs):
         components.extend(
             pipeline.create_single_frame_outlier_filter_components(
                 input_topic=pipeline.single_frame_obstacle_seg_output,
-                output_topic=relay_topic
-                if pipeline.use_time_series_filter
-                else pipeline.output_topic,
+                output_topic=(
+                    relay_topic if pipeline.use_time_series_filter else pipeline.output_topic
+                ),
                 context=context,
             )
         )
     if pipeline.use_time_series_filter:
         components.extend(
             pipeline.create_time_series_outlier_filter_components(
-                input_topic=relay_topic
-                if pipeline.use_single_frame_filter
-                else pipeline.single_frame_obstacle_seg_output,
+                input_topic=(
+                    relay_topic
+                    if pipeline.use_single_frame_filter
+                    else pipeline.single_frame_obstacle_seg_output
+                ),
                 output_topic=pipeline.output_topic,
             )
         )
diff --git a/launch/tier4_perception_launch/launch/perception.launch.xml b/launch/tier4_perception_launch/launch/perception.launch.xml
index 62404a7deb43a..8f0513bcd5446 100644
--- a/launch/tier4_perception_launch/launch/perception.launch.xml
+++ b/launch/tier4_perception_launch/launch/perception.launch.xml
@@ -77,6 +77,7 @@
   <arg name="use_pointcloud_map" default="true" description="use pointcloud map in detection"/>
   <arg name="use_low_height_cropbox" default="true" description="use low height crop filter in clustering"/>
   <arg name="use_object_filter" default="true" description="use object filter"/>
+  <arg name="objects_filter_method" default="lanelet_filter" description="options: `lanelet_filter` or `position_filter`"/>
   <arg name="use_roi_based_cluster" default="true" description="use roi_based_cluster in clustering"/>
   <arg name="use_low_intensity_cluster_filter" default="true" description="use low_intensity_cluster_filter in clustering"/>
   <arg
@@ -85,12 +86,12 @@
     description="if use_empty_dynamic_object_publisher:=true, /perception/object_recognition/objects topic has an empty DynamicObjectArray"
   />
   <arg name="pointcloud_container_name" default="pointcloud_container"/>
-  <arg name="objects_filter_method" default="lanelet_filter"/>
-  <arg name="objects_validation_method" default="obstacle_pointcloud"/>
+  <arg name="use_object_validator" default="true" description="use obstacle_pointcloud based object validator"/>
+  <arg name="objects_validation_method" default="obstacle_pointcloud" description="options: `obstacle_pointcloud` or `occupancy_grid`"/>
   <arg name="use_perception_online_evaluator" default="false" description="use perception online evaluator"/>
 
   <!-- Traffic light recognition parameters -->
-  <arg name="use_traffic_light_recognition" default="true"/>
+  <arg name="use_traffic_light_recognition" default="false"/>
   <arg name="traffic_light_recognition/enable_fine_detection" default="true"/>
   <arg name="traffic_light_recognition/fusion_only" default="false"/>
   <arg name="traffic_light_image_number" default="1" description="choose traffic light image raw number(1-2)"/>
@@ -115,12 +116,13 @@
   <!-- Whether to use detection by tracker -->
   <arg name="use_detection_by_tracker" default="true"/>
 
-  <!-- Radar long range integration methods -->
+  <!-- Radar parameters -->
   <arg
     name="use_radar_tracking_fusion"
     default="true"
     description="if use_radar_tracking_fusion:=true, radar information is merged in tracking launch. Otherwise, radar information is merged in detection launch."
   />
+  <arg name="input/radar" default="/sensing/radar/detected_objects"/>
 
   <!-- Downsample pointcloud for perception usage -->
   <arg name="downsample_perception_common_pointcloud" default="false"/>
@@ -186,25 +188,35 @@
         <push-ros-namespace namespace="detection"/>
         <include file="$(find-pkg-share tier4_perception_launch)/launch/object_recognition/detection/detection.launch.xml">
           <arg name="mode" value="$(var mode)"/>
-          <arg name="input/pointcloud" value="$(var perception_pointcloud)"/>
           <arg name="lidar_detection_model" value="$(var lidar_detection_model)"/>
-          <arg name="image_raw0" value="$(var image_raw0)"/>
-          <arg name="camera_info0" value="$(var camera_info0)"/>
-          <arg name="image_raw1" value="$(var image_raw1)"/>
-          <arg name="camera_info1" value="$(var camera_info1)"/>
-          <arg name="image_raw2" value="$(var image_raw2)"/>
-          <arg name="camera_info2" value="$(var camera_info2)"/>
-          <arg name="image_raw3" value="$(var image_raw3)"/>
-          <arg name="camera_info3" value="$(var camera_info3)"/>
-          <arg name="image_raw4" value="$(var image_raw4)"/>
-          <arg name="camera_info4" value="$(var camera_info4)"/>
-          <arg name="image_raw5" value="$(var image_raw5)"/>
-          <arg name="camera_info5" value="$(var camera_info5)"/>
-          <arg name="image_raw6" value="$(var image_raw6)"/>
-          <arg name="camera_info6" value="$(var camera_info6)"/>
-          <arg name="image_raw7" value="$(var image_raw7)"/>
-          <arg name="camera_info7" value="$(var camera_info7)"/>
-          <arg name="image_number" value="$(var image_number)"/>
+          <arg name="number_of_cameras" value="$(var image_number)"/>
+          <arg name="input/camera0/image" value="$(var image_raw0)"/>
+          <arg name="input/camera0/info" value="$(var camera_info0)"/>
+          <arg name="input/camera0/rois" value="$(var detection_rois0)"/>
+          <arg name="input/camera1/image" value="$(var image_raw1)"/>
+          <arg name="input/camera1/info" value="$(var camera_info1)"/>
+          <arg name="input/camera1/rois" value="$(var detection_rois1)"/>
+          <arg name="input/camera2/image" value="$(var image_raw2)"/>
+          <arg name="input/camera2/info" value="$(var camera_info2)"/>
+          <arg name="input/camera2/rois" value="$(var detection_rois2)"/>
+          <arg name="input/camera3/image" value="$(var image_raw3)"/>
+          <arg name="input/camera3/info" value="$(var camera_info3)"/>
+          <arg name="input/camera3/rois" value="$(var detection_rois3)"/>
+          <arg name="input/camera4/image" value="$(var image_raw4)"/>
+          <arg name="input/camera4/info" value="$(var camera_info4)"/>
+          <arg name="input/camera4/rois" value="$(var detection_rois4)"/>
+          <arg name="input/camera5/image" value="$(var image_raw5)"/>
+          <arg name="input/camera5/info" value="$(var camera_info5)"/>
+          <arg name="input/camera5/rois" value="$(var detection_rois5)"/>
+          <arg name="input/camera6/image" value="$(var image_raw6)"/>
+          <arg name="input/camera6/info" value="$(var camera_info6)"/>
+          <arg name="input/camera6/rois" value="$(var detection_rois6)"/>
+          <arg name="input/camera7/image" value="$(var image_raw7)"/>
+          <arg name="input/camera7/info" value="$(var camera_info7)"/>
+          <arg name="input/camera7/rois" value="$(var detection_rois7)"/>
+          <arg name="input/pointcloud" value="$(var perception_pointcloud)"/>
+          <arg name="node/pointcloud_container" value="$(var pointcloud_container_name)"/>
+          <arg name="input/radar" value="$(var input/radar)"/>
           <arg name="sync_param_path" value="$(var object_recognition_detection_fusion_sync_param_path)"/>
           <arg name="roi_cluster_fusion_param_path" value="$(var object_recognition_detection_roi_cluster_fusion_param_path)"/>
           <arg name="roi_pointcloud_fusion_param_path" value="$(var object_recognition_detection_roi_pointcloud_fusion_param_path)"/>
@@ -217,10 +229,15 @@
           <arg name="radar_object_clustering_param_path" value="$(var object_recognition_detection_radar_object_clustering_param_path)"/>
           <arg name="detection_by_tracker_param_path" value="$(var object_recognition_detection_detection_by_tracker_param)"/>
 
+          <arg name="use_detection_by_tracker" value="$(var use_detection_by_tracker)"/>
+          <arg name="use_validator" value="$(var use_object_validator)"/>
+          <arg name="objects_validation_method" value="$(var objects_validation_method)"/>
+          <arg name="use_radar_tracking_fusion" value="$(var use_radar_tracking_fusion)"/>
           <arg name="use_pointcloud_map" value="$(var use_pointcloud_map)"/>
           <arg name="use_low_height_cropbox" value="$(var use_low_height_cropbox)"/>
+          <arg name="use_low_intensity_cluster_filter" value="$(var use_low_intensity_cluster_filter)"/>
           <arg name="use_object_filter" value="$(var use_object_filter)"/>
-          <arg name="pointcloud_container_name" value="$(var pointcloud_container_name)"/>
+          <arg name="objects_filter_method" value="$(var objects_filter_method)"/>
           <arg name="use_roi_based_cluster" value="$(var use_roi_based_cluster)"/>
         </include>
       </group>
@@ -238,6 +255,7 @@
           <arg name="object_recognition_tracking_radar_object_tracker_node_param_path" value="$(var object_recognition_tracking_radar_object_tracker_node_param_path)"/>
           <arg name="object_recognition_tracking_object_merger_data_association_matrix_param_path" value="$(var object_recognition_tracking_object_merger_data_association_matrix_param_path)"/>
           <arg name="object_recognition_tracking_object_merger_node_param_path" value="$(var object_recognition_tracking_object_merger_node_param_path)"/>
+          <arg name="use_radar_tracking_fusion" value="$(var use_radar_tracking_fusion)"/>
         </include>
       </group>
 
diff --git a/launch/tier4_planning_launch/launch/planning.launch.xml b/launch/tier4_planning_launch/launch/planning.launch.xml
index 1d01732454daf..e71253c8a978b 100644
--- a/launch/tier4_planning_launch/launch/planning.launch.xml
+++ b/launch/tier4_planning_launch/launch/planning.launch.xml
@@ -41,7 +41,7 @@
 
     <!-- planning evaluator -->
     <group>
-      <include file="$(find-pkg-share planning_evaluator)/launch/planning_evaluator.launch.xml"/>
+      <include file="$(find-pkg-share autoware_planning_evaluator)/launch/planning_evaluator.launch.xml"/>
     </group>
 
     <!-- mission remaining distance and time calculator -->
diff --git a/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/behavior_planning/behavior_planning.launch.xml b/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/behavior_planning/behavior_planning.launch.xml
index 9121be27825aa..3deff32d6e297 100644
--- a/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/behavior_planning/behavior_planning.launch.xml
+++ b/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/behavior_planning/behavior_planning.launch.xml
@@ -33,7 +33,6 @@
   <arg name="launch_run_out_module" default="true"/>
   <arg name="launch_speed_bump_module" default="true"/>
   <arg name="launch_no_drivable_lane_module" default="true"/>
-  <arg name="launch_dynamic_obstacle_stop_module" default="true"/>
 
   <arg name="launch_module_list_end" default="&quot;&quot;]"/>
 
@@ -168,11 +167,6 @@
     value="$(eval &quot;'$(var behavior_velocity_planner_launch_modules)' + 'autoware::behavior_velocity_planner::NoDrivableLaneModulePlugin, '&quot;)"
     if="$(var launch_no_drivable_lane_module)"
   />
-  <let
-    name="behavior_velocity_planner_launch_modules"
-    value="$(eval &quot;'$(var behavior_velocity_planner_launch_modules)' + 'autoware::behavior_velocity_planner::DynamicObstacleStopModulePlugin, '&quot;)"
-    if="$(var launch_dynamic_obstacle_stop_module)"
-  />
   <let name="behavior_velocity_planner_launch_modules" value="$(eval &quot;'$(var behavior_velocity_planner_launch_modules)' + '$(var launch_module_list_end)'&quot;)"/>
 
   <node_container pkg="rclcpp_components" exec="$(var container_type)" name="behavior_planning_container" namespace="" args="" output="both">
@@ -256,7 +250,6 @@
       <param from="$(var behavior_velocity_planner_run_out_module_param_path)"/>
       <param from="$(var behavior_velocity_planner_speed_bump_module_param_path)"/>
       <param from="$(var behavior_velocity_planner_no_drivable_lane_module_param_path)"/>
-      <param from="$(var behavior_velocity_planner_dynamic_obstacle_stop_module_param_path)"/>
       <!-- composable node config -->
       <extra_arg name="use_intra_process_comms" value="false"/>
     </composable_node>
diff --git a/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/motion_planning/motion_planning.launch.xml b/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/motion_planning/motion_planning.launch.xml
index 94f641200868e..ae43c2d81efb6 100644
--- a/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/motion_planning/motion_planning.launch.xml
+++ b/launch/tier4_planning_launch/launch/scenario_planning/lane_driving/motion_planning/motion_planning.launch.xml
@@ -2,9 +2,9 @@
   <arg name="interface_input_topic" default="/planning/scenario_planning/lane_driving/behavior_planning/path"/>
   <arg name="interface_output_topic" default="/planning/scenario_planning/lane_driving/trajectory"/>
 
+  <arg name="launch_dynamic_obstacle_stop_module" default="true"/>
   <arg name="launch_out_of_lane_module" default="true"/>
   <arg name="launch_obstacle_velocity_limiter_module" default="true"/>
-  <!-- <arg name="launch_dynamic_obstacle_stop_module" default="true"/> -->
   <arg name="launch_module_list_end" default="&quot;&quot;]"/>
 
   <!-- assemble launch config for motion velocity planner -->
@@ -19,11 +19,11 @@
     value="$(eval &quot;'$(var motion_velocity_planner_launch_modules)' + 'autoware::motion_velocity_planner::ObstacleVelocityLimiterModule, '&quot;)"
     if="$(var launch_obstacle_velocity_limiter_module)"
   />
-  <!-- <let -->
-  <!--   name="motion_velocity_planner_launch_modules" -->
-  <!--   value="$(eval &quot;'$(var motion_velocity_planner_launch_modules)' + 'motion_velocity_planner::DynamicObstacleStopModule, '&quot;)" -->
-  <!--   if="$(var launch_dynamic_obstacle_stop_module)" -->
-  <!-- /> -->
+  <let
+    name="motion_velocity_planner_launch_modules"
+    value="$(eval &quot;'$(var motion_velocity_planner_launch_modules)' + 'autoware::motion_velocity_planner::DynamicObstacleStopModule, '&quot;)"
+    if="$(var launch_dynamic_obstacle_stop_module)"
+  />
   <let name="motion_velocity_planner_launch_modules" value="$(eval &quot;'$(var motion_velocity_planner_launch_modules)' + '$(var launch_module_list_end)'&quot;)"/>
 
   <node_container pkg="rclcpp_components" exec="$(var container_type)" name="motion_planning_container" namespace="" args="" output="screen">
@@ -140,6 +140,7 @@
         <param from="$(var velocity_smoother_param_path)"/>
         <param from="$(var motion_velocity_planner_velocity_smoother_type_param_path)"/>
         <param from="$(var motion_velocity_planner_param_path)"/>
+        <param from="$(var motion_velocity_planner_dynamic_obstacle_stop_module_param_path)"/>
         <param from="$(var motion_velocity_planner_out_of_lane_module_param_path)"/>
         <param from="$(var motion_velocity_planner_obstacle_velocity_limiter_param_path)"/>
         <!-- <param from="$(var motion_velocity_planner_template_param_path)"/> -->
diff --git a/launch/tier4_planning_launch/package.xml b/launch/tier4_planning_launch/package.xml
index 03f12b43a6f85..1c65c975bc5bf 100644
--- a/launch/tier4_planning_launch/package.xml
+++ b/launch/tier4_planning_launch/package.xml
@@ -66,6 +66,7 @@
   <exec_depend>autoware_mission_planner</exec_depend>
   <exec_depend>autoware_obstacle_cruise_planner</exec_depend>
   <exec_depend>autoware_path_optimizer</exec_depend>
+  <exec_depend>autoware_planning_evaluator</exec_depend>
   <exec_depend>autoware_planning_topic_converter</exec_depend>
   <exec_depend>autoware_planning_validator</exec_depend>
   <exec_depend>autoware_remaining_distance_time_calculator</exec_depend>
@@ -74,7 +75,6 @@
   <exec_depend>autoware_velocity_smoother</exec_depend>
   <exec_depend>glog_component</exec_depend>
   <exec_depend>obstacle_stop_planner</exec_depend>
-  <exec_depend>planning_evaluator</exec_depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/launch/tier4_simulator_launch/launch/simulator.launch.xml b/launch/tier4_simulator_launch/launch/simulator.launch.xml
index 2ffd2a701fb65..97b07410d108a 100644
--- a/launch/tier4_simulator_launch/launch/simulator.launch.xml
+++ b/launch/tier4_simulator_launch/launch/simulator.launch.xml
@@ -147,7 +147,7 @@
   <!-- Diagnostic Converter -->
   <group if="$(var launch_diagnostic_converter)">
     <node name="diagnostic_converter" exec="diagnostic_converter" pkg="diagnostic_converter" output="screen">
-      <param name="diagnostic_topics" value="[/diagnostic/planning_evaluator/metrics, /diagnostics_err]"/>
+      <param name="diagnostic_topics" value="[/diagnostic/planning_evaluator/metrics, /diagnostic/control_evaluator/metrics, /diagnostics_err]"/>
     </node>
   </group>
 
diff --git a/localization/landmark_based_localizer/README.md b/localization/autoware_landmark_based_localizer/README.md
similarity index 100%
rename from localization/landmark_based_localizer/README.md
rename to localization/autoware_landmark_based_localizer/README.md
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/CMakeLists.txt b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/CMakeLists.txt
similarity index 96%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/CMakeLists.txt
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/CMakeLists.txt
index a8435fa056847..8b2487ef79ea9 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/CMakeLists.txt
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.14)
-project(ar_tag_based_localizer)
+project(autoware_ar_tag_based_localizer)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/README.md b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/README.md
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/README.md
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/README.md
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/config/ar_tag_based_localizer.param.yaml b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/config/ar_tag_based_localizer.param.yaml
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/config/ar_tag_based_localizer.param.yaml
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/config/ar_tag_based_localizer.param.yaml
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/ar_tag_image.png b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/ar_tag_image.png
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/ar_tag_image.png
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/ar_tag_image.png
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/sample_result.png b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/sample_result.png
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/sample_result.png
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/sample_result.png
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/sample_result_in_awsim.png b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/sample_result_in_awsim.png
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/doc_image/sample_result_in_awsim.png
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/doc_image/sample_result_in_awsim.png
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml
similarity index 82%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml
index 34602ca70daf4..dd9956acce748 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/launch/ar_tag_based_localizer.launch.xml
@@ -1,5 +1,5 @@
 <launch>
-  <arg name="param_file" default="$(find-pkg-share ar_tag_based_localizer)/config/ar_tag_based_localizer.param.yaml"/>
+  <arg name="param_file" default="$(find-pkg-share autoware_ar_tag_based_localizer)/config/ar_tag_based_localizer.param.yaml"/>
   <arg name="node_name" default="ar_tag_based_localizer"/>
 
   <!-- Topic names -->
@@ -14,7 +14,7 @@
   <arg name="debug_mapped_tag" default="~/debug/mapped_tag"/>
   <arg name="debug_detected_tag" default="~/debug/detected_tag"/>
 
-  <node pkg="ar_tag_based_localizer" exec="ar_tag_based_localizer_node" name="$(var node_name)" output="both">
+  <node pkg="autoware_ar_tag_based_localizer" exec="autoware_ar_tag_based_localizer_node" name="$(var node_name)" output="both">
     <remap from="~/input/lanelet2_map" to="$(var input_lanelet2_map)"/>
     <remap from="~/input/image" to="$(var input_image)"/>
     <remap from="~/input/camera_info" to="$(var input_camera_info)"/>
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/package.xml b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/package.xml
similarity index 88%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/package.xml
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/package.xml
index 90fdd2fee31f4..bf40719d7a5e6 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/package.xml
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>ar_tag_based_localizer</name>
+  <name>autoware_ar_tag_based_localizer</name>
   <version>0.0.0</version>
-  <description>The ar_tag_based_localizer package</description>
+  <description>The autoware_ar_tag_based_localizer package</description>
   <maintainer email="shintaro.sakoda@tier4.jp">Shintaro Sakoda</maintainer>
   <maintainer email="masahiro.sakamoto@tier4.jp">Masahiro Sakamoto</maintainer>
   <maintainer email="yamato.ando@tier4.jp">Yamato Ando</maintainer>
@@ -18,9 +18,9 @@
 
   <depend>ament_index_cpp</depend>
   <depend>aruco</depend>
+  <depend>autoware_landmark_manager</depend>
   <depend>cv_bridge</depend>
   <depend>diagnostic_msgs</depend>
-  <depend>landmark_manager</depend>
   <depend>lanelet2_extension</depend>
   <depend>localization_util</depend>
   <depend>rclcpp</depend>
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/schema/ar_tag_based_localizer.schema.json b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/schema/ar_tag_based_localizer.schema.json
similarity index 100%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/schema/ar_tag_based_localizer.schema.json
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/schema/ar_tag_based_localizer.schema.json
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.cpp b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.cpp
similarity index 98%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.cpp
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.cpp
index 0ea40690d9f4d..c39969fb3cc5f 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.cpp
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.cpp
@@ -62,7 +62,7 @@
 #include <tf2_eigen/tf2_eigen.hpp>
 #endif
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 ArTagBasedLocalizer::ArTagBasedLocalizer(const rclcpp::NodeOptions & options)
 : rclcpp::Node("ar_tag_based_localizer", options), cam_info_received_(false)
@@ -185,7 +185,7 @@ void ArTagBasedLocalizer::image_callback(const Image::ConstSharedPtr & msg)
     pose_array_msg.header.frame_id = "map";
     for (const Landmark & landmark : landmarks) {
       const Pose detected_marker_on_map =
-        tier4_autoware_utils::transformPose(landmark.pose, self_pose);
+        autoware::universe_utils::transformPose(landmark.pose, self_pose);
       pose_array_msg.poses.push_back(detected_marker_on_map);
     }
     detected_tag_pose_pub_->publish(pose_array_msg);
@@ -194,7 +194,7 @@ void ArTagBasedLocalizer::image_callback(const Image::ConstSharedPtr & msg)
   // calc new_self_pose
   const Pose new_self_pose =
     landmark_manager_.calculate_new_self_pose(landmarks, self_pose, consider_orientation_);
-  const Pose diff_pose = tier4_autoware_utils::inverseTransformPose(new_self_pose, self_pose);
+  const Pose diff_pose = autoware::universe_utils::inverseTransformPose(new_self_pose, self_pose);
   const double distance =
     std::hypot(diff_pose.position.x, diff_pose.position.y, diff_pose.position.z);
 
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.hpp b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.hpp
similarity index 98%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.hpp
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.hpp
index f00621b3c520a..9826c04e3a86f 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/src/ar_tag_based_localizer.hpp
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/src/ar_tag_based_localizer.hpp
@@ -45,7 +45,7 @@
 #ifndef AR_TAG_BASED_LOCALIZER_HPP_
 #define AR_TAG_BASED_LOCALIZER_HPP_
 
-#include "landmark_manager/landmark_manager.hpp"
+#include "autoware/landmark_manager/landmark_manager.hpp"
 #include "localization_util/smart_pose_buffer.hpp"
 
 #include <rclcpp/rclcpp.hpp>
diff --git a/localization/landmark_based_localizer/ar_tag_based_localizer/test/test.cpp b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/test/test.cpp
similarity index 96%
rename from localization/landmark_based_localizer/ar_tag_based_localizer/test/test.cpp
rename to localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/test/test.cpp
index d62c2b38b6cd1..295737ed723a5 100644
--- a/localization/landmark_based_localizer/ar_tag_based_localizer/test/test.cpp
+++ b/localization/autoware_landmark_based_localizer/autoware_ar_tag_based_localizer/test/test.cpp
@@ -30,7 +30,7 @@ class TestArTagBasedLocalizer : public ::testing::Test
   void SetUp() override
   {
     const std::string yaml_path =
-      ament_index_cpp::get_package_share_directory("ar_tag_based_localizer") +
+      ament_index_cpp::get_package_share_directory("autoware_ar_tag_based_localizer") +
       "/config/ar_tag_based_localizer.param.yaml";
 
     rcl_params_t * params_st = rcl_yaml_node_struct_init(rcl_get_default_allocator());
diff --git a/localization/landmark_based_localizer/landmark_manager/CMakeLists.txt b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/CMakeLists.txt
similarity index 92%
rename from localization/landmark_based_localizer/landmark_manager/CMakeLists.txt
rename to localization/autoware_landmark_based_localizer/autoware_landmark_manager/CMakeLists.txt
index 1b57e5cc89018..6c67ff7a320e8 100644
--- a/localization/landmark_based_localizer/landmark_manager/CMakeLists.txt
+++ b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.14)
-project(landmark_manager)
+project(autoware_landmark_manager)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
diff --git a/localization/landmark_based_localizer/landmark_manager/include/landmark_manager/landmark_manager.hpp b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/include/autoware/landmark_manager/landmark_manager.hpp
similarity index 91%
rename from localization/landmark_based_localizer/landmark_manager/include/landmark_manager/landmark_manager.hpp
rename to localization/autoware_landmark_based_localizer/autoware_landmark_manager/include/autoware/landmark_manager/landmark_manager.hpp
index 7c1a3f656dd66..3fc6505e72c31 100644
--- a/localization/landmark_based_localizer/landmark_manager/include/landmark_manager/landmark_manager.hpp
+++ b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/include/autoware/landmark_manager/landmark_manager.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
-#define LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
+#ifndef AUTOWARE__LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
+#define AUTOWARE__LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
 
 #include "lanelet2_extension/localization/landmark.hpp"
 
@@ -61,4 +61,4 @@ class LandmarkManager
 
 }  // namespace landmark_manager
 
-#endif  // LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
+#endif  // AUTOWARE__LANDMARK_MANAGER__LANDMARK_MANAGER_HPP_
diff --git a/localization/landmark_based_localizer/landmark_manager/package.xml b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/package.xml
similarity index 91%
rename from localization/landmark_based_localizer/landmark_manager/package.xml
rename to localization/autoware_landmark_based_localizer/autoware_landmark_manager/package.xml
index 4e080c0362c07..1471b5182def8 100644
--- a/localization/landmark_based_localizer/landmark_manager/package.xml
+++ b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>landmark_manager</name>
+  <name>autoware_landmark_manager</name>
   <version>0.0.0</version>
-  <description>The landmark_manager package</description>
+  <description>The autoware_landmark_manager package</description>
   <maintainer email="shintaro.sakoda@tier4.jp">Shintaro Sakoda</maintainer>
   <maintainer email="masahiro.sakamoto@tier4.jp">Masahiro Sakamoto</maintainer>
   <maintainer email="yamato.ando@tier4.jp">Yamato Ando</maintainer>
diff --git a/localization/landmark_based_localizer/landmark_manager/src/landmark_manager.cpp b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/src/landmark_manager.cpp
similarity index 96%
rename from localization/landmark_based_localizer/landmark_manager/src/landmark_manager.cpp
rename to localization/autoware_landmark_based_localizer/autoware_landmark_manager/src/landmark_manager.cpp
index a808a6428f682..2fa0fdbdb315d 100644
--- a/localization/landmark_based_localizer/landmark_manager/src/landmark_manager.cpp
+++ b/localization/autoware_landmark_based_localizer/autoware_landmark_manager/src/landmark_manager.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "landmark_manager/landmark_manager.hpp"
+#include "autoware/landmark_manager/landmark_manager.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "lanelet2_extension/utility/message_conversion.hpp"
 #include "localization_util/util_func.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <Eigen/Core>
 #include <tf2_eigen/tf2_eigen.hpp>
@@ -161,7 +161,7 @@ geometry_msgs::msg::Pose LandmarkManager::calculate_new_self_pose(
 
     // convert base_link to map
     const Pose detected_landmark_on_map =
-      tier4_autoware_utils::transformPose(detected_landmark_on_base_link, self_pose);
+      autoware::universe_utils::transformPose(detected_landmark_on_base_link, self_pose);
 
     // match to map
     if (landmarks_map_.count(landmark.id) == 0) {
@@ -171,7 +171,7 @@ geometry_msgs::msg::Pose LandmarkManager::calculate_new_self_pose(
     // check all poses
     for (const Pose mapped_landmark_on_map : landmarks_map_.at(landmark.id)) {
       // check distance
-      const double curr_distance = tier4_autoware_utils::calcDistance3d(
+      const double curr_distance = autoware::universe_utils::calcDistance3d(
         mapped_landmark_on_map.position, detected_landmark_on_map.position);
       if (curr_distance > min_distance) {
         continue;
diff --git a/localization/landmark_based_localizer/doc_image/consider_orientation.drawio.svg b/localization/autoware_landmark_based_localizer/doc_image/consider_orientation.drawio.svg
similarity index 100%
rename from localization/landmark_based_localizer/doc_image/consider_orientation.drawio.svg
rename to localization/autoware_landmark_based_localizer/doc_image/consider_orientation.drawio.svg
diff --git a/localization/landmark_based_localizer/doc_image/lanelet2_data_structure.drawio.svg b/localization/autoware_landmark_based_localizer/doc_image/lanelet2_data_structure.drawio.svg
similarity index 100%
rename from localization/landmark_based_localizer/doc_image/lanelet2_data_structure.drawio.svg
rename to localization/autoware_landmark_based_localizer/doc_image/lanelet2_data_structure.drawio.svg
diff --git a/localization/landmark_based_localizer/doc_image/node_diagram.drawio.svg b/localization/autoware_landmark_based_localizer/doc_image/node_diagram.drawio.svg
similarity index 100%
rename from localization/landmark_based_localizer/doc_image/node_diagram.drawio.svg
rename to localization/autoware_landmark_based_localizer/doc_image/node_diagram.drawio.svg
diff --git a/localization/landmark_based_localizer/doc_image/principle.png b/localization/autoware_landmark_based_localizer/doc_image/principle.png
similarity index 100%
rename from localization/landmark_based_localizer/doc_image/principle.png
rename to localization/autoware_landmark_based_localizer/doc_image/principle.png
diff --git a/localization/autoware_pose_covariance_modifier/README.md b/localization/autoware_pose_covariance_modifier/README.md
index 392df9caca6eb..b834bc88116a3 100644
--- a/localization/autoware_pose_covariance_modifier/README.md
+++ b/localization/autoware_pose_covariance_modifier/README.md
@@ -156,8 +156,8 @@ the [pose_twist_estimator.launch.xml](../../launch/tier4_localization_launch/lau
 The parameters are set
 in [config/pose_covariance_modifier.param.yaml](config/pose_covariance_modifier.param.yaml) .
 
-{{ json_to_markdown("
-localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json") }}
+{{ json_to_markdown(
+  "localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json") }}
 
 ## FAQ
 
diff --git a/localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json b/localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json
index 02cf301d731b1..53fc040adc026 100644
--- a/localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json
+++ b/localization/autoware_pose_covariance_modifier/schema/pose_covariance_modifier.schema.json
@@ -2,66 +2,68 @@
   "$schema": "http://json-schema.org/draft-07/schema#",
   "title": "Pose Covariance Modifier Node Parameters",
   "type": "object",
-  "actual_parameters": {
-    "type": "object",
-    "properties": {
-      "threshold_gnss_stddev_yaw_deg_max": {
-        "type": "number",
-        "default": 0.3,
-        "description": "If GNSS yaw standard deviation values are larger than this, trust only NDT"
-      },
-      "threshold_gnss_stddev_z_max": {
-        "type": "number",
-        "default": 0.1,
-        "description": "If GNSS position Z standard deviation values are larger than this, trust only NDT"
-      },
-      "threshold_gnss_stddev_xy_bound_lower": {
-        "type": "number",
-        "default": 0.1,
-        "description": "If GNSS position XY standard deviation values are lower than this, trust only GNSS"
-      },
-      "threshold_gnss_stddev_xy_bound_upper": {
-        "type": "number",
-        "default": 0.25,
-        "description": "If GNSS position XY standard deviation values are higher than this, trust only NDT"
-      },
-      "ndt_std_dev_bound_lower": {
-        "type": "number",
-        "default": 0.15,
-        "description": "Lower bound value for standard deviation of NDT positions (x, y, z) when used with GNSS"
-      },
-      "ndt_std_dev_bound_upper": {
-        "type": "number",
-        "default": 0.3,
-        "description": "Upper bound value for standard deviation of NDT positions (x, y, z) when used with GNSS"
-      },
-      "gnss_pose_timeout_sec": {
-        "type": "number",
-        "default": 1.0,
-        "description": "If GNSS data is not received for this duration, trust only NDT"
+  "definitions": {
+    "pose_covariance_modifier": {
+      "type": "object",
+      "properties": {
+        "threshold_gnss_stddev_yaw_deg_max": {
+          "type": "number",
+          "default": 0.3,
+          "description": "If GNSS yaw standard deviation values are larger than this, trust only NDT"
+        },
+        "threshold_gnss_stddev_z_max": {
+          "type": "number",
+          "default": 0.1,
+          "description": "If GNSS position Z standard deviation values are larger than this, trust only NDT"
+        },
+        "threshold_gnss_stddev_xy_bound_lower": {
+          "type": "number",
+          "default": 0.1,
+          "description": "If GNSS position XY standard deviation values are lower than this, trust only GNSS"
+        },
+        "threshold_gnss_stddev_xy_bound_upper": {
+          "type": "number",
+          "default": 0.25,
+          "description": "If GNSS position XY standard deviation values are higher than this, trust only NDT"
+        },
+        "ndt_std_dev_bound_lower": {
+          "type": "number",
+          "default": 0.15,
+          "description": "Lower bound value for standard deviation of NDT positions (x, y, z) when used with GNSS"
+        },
+        "ndt_std_dev_bound_upper": {
+          "type": "number",
+          "default": 0.3,
+          "description": "Upper bound value for standard deviation of NDT positions (x, y, z) when used with GNSS"
+        },
+        "gnss_pose_timeout_sec": {
+          "type": "number",
+          "default": 1.0,
+          "description": "If GNSS data is not received for this duration, trust only NDT"
+        },
+        "enable_debug_topics": {
+          "type": "boolean",
+          "default": true,
+          "description": "Publish additional debug topics"
+        }
       },
-      "enable_debug_topics": {
-        "type": "boolean",
-        "default": true,
-        "description": "Publish additional debug topics"
-      }
-    },
-    "required": [
-      "threshold_gnss_stddev_yaw_deg_max",
-      "threshold_gnss_stddev_z_max",
-      "threshold_gnss_stddev_xy_bound_lower",
-      "threshold_gnss_stddev_xy_bound_upper",
-      "gnss_pose_timeout_sec",
-      "enable_debug_topics"
-    ],
-    "additionalProperties": false
+      "required": [
+        "threshold_gnss_stddev_yaw_deg_max",
+        "threshold_gnss_stddev_z_max",
+        "threshold_gnss_stddev_xy_bound_lower",
+        "threshold_gnss_stddev_xy_bound_upper",
+        "gnss_pose_timeout_sec",
+        "enable_debug_topics"
+      ],
+      "additionalProperties": false
+    }
   },
   "properties": {
     "/**": {
       "type": "object",
       "properties": {
         "ros__parameters": {
-          "$ref": "#/actual_parameters"
+          "$ref": "#/definitions/pose_covariance_modifier"
         }
       },
       "required": ["ros__parameters"],
diff --git a/localization/ekf_localizer/include/ekf_localizer/ekf_localizer.hpp b/localization/ekf_localizer/include/ekf_localizer/ekf_localizer.hpp
index b78e9b1ee0469..65003f5fe9864 100644
--- a/localization/ekf_localizer/include/ekf_localizer/ekf_localizer.hpp
+++ b/localization/ekf_localizer/include/ekf_localizer/ekf_localizer.hpp
@@ -20,10 +20,10 @@
 #include "ekf_localizer/hyper_parameters.hpp"
 #include "ekf_localizer/warning.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_array.hpp>
 #include <geometry_msgs/msg/pose_array.hpp>
@@ -142,7 +142,7 @@ class EKFLocalizer : public rclcpp::Node
   std::shared_ptr<tf2_ros::TransformBroadcaster> tf_br_;
 
   //!< @brief logger configure module
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   //!< @brief  extended kalman filter instance.
   std::unique_ptr<EKFModule> ekf_module_;
@@ -236,7 +236,7 @@ class EKFLocalizer : public rclcpp::Node
     const std_srvs::srv::SetBool::Request::SharedPtr req,
     std_srvs::srv::SetBool::Response::SharedPtr res);
 
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
 
   friend class EKFLocalizerTestSuite;  // for test code
 };
diff --git a/localization/ekf_localizer/package.xml b/localization/ekf_localizer/package.xml
index dad1b0e730711..07efca6339b98 100644
--- a/localization/ekf_localizer/package.xml
+++ b/localization/ekf_localizer/package.xml
@@ -23,6 +23,7 @@
 
   <build_depend>eigen</build_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>fmt</depend>
   <depend>geometry_msgs</depend>
@@ -33,7 +34,6 @@
   <depend>std_srvs</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/localization/ekf_localizer/src/covariance.cpp b/localization/ekf_localizer/src/covariance.cpp
index fc16abf429d93..4655ea8a89855 100644
--- a/localization/ekf_localizer/src/covariance.cpp
+++ b/localization/ekf_localizer/src/covariance.cpp
@@ -14,10 +14,10 @@
 
 #include "ekf_localizer/covariance.hpp"
 
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
 #include "ekf_localizer/state_index.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
 
-using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
 
 std::array<double, 36> ekf_covariance_to_pose_message_covariance(const Matrix6d & P)
 {
diff --git a/localization/ekf_localizer/src/ekf_localizer.cpp b/localization/ekf_localizer/src/ekf_localizer.cpp
index 8e7121ec73a12..11fa2b6713a52 100644
--- a/localization/ekf_localizer/src/ekf_localizer.cpp
+++ b/localization/ekf_localizer/src/ekf_localizer.cpp
@@ -18,11 +18,11 @@
 #include "ekf_localizer/string.hpp"
 #include "ekf_localizer/warning_message.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/msg_covariance.hpp>
 #include <rclcpp/duration.hpp>
 #include <rclcpp/logging.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/msg_covariance.hpp>
 
 #include <fmt/core.h>
 
@@ -96,7 +96,7 @@ EKFLocalizer::EKFLocalizer(const rclcpp::NodeOptions & node_options)
     std::shared_ptr<rclcpp::Node>(this, [](auto) {}));
 
   ekf_module_ = std::make_unique<EKFModule>(warning_, params_);
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 
   z_filter_.set_proc_dev(params_.z_filter_proc_dev);
   roll_filter_.set_proc_dev(params_.roll_filter_proc_dev);
@@ -264,7 +264,7 @@ void EKFLocalizer::timer_tf_callback()
   const rclcpp::Time current_time = this->now();
 
   geometry_msgs::msg::TransformStamped transform_stamped;
-  transform_stamped = tier4_autoware_utils::pose2transform(
+  transform_stamped = autoware::universe_utils::pose2transform(
     ekf_module_->get_current_pose(current_time, z, roll, pitch, false), "base_link");
   transform_stamped.header.stamp = current_time;
   tf_br_->sendTransform(transform_stamped);
@@ -436,9 +436,9 @@ void EKFLocalizer::update_simple_1d_filters(
 {
   double z = pose.pose.pose.position.z;
 
-  const auto rpy = tier4_autoware_utils::getRPY(pose.pose.pose.orientation);
+  const auto rpy = autoware::universe_utils::getRPY(pose.pose.pose.orientation);
 
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   double z_dev = pose.pose.covariance[COV_IDX::Z_Z] * static_cast<double>(smoothing_step);
   double roll_dev = pose.pose.covariance[COV_IDX::ROLL_ROLL] * static_cast<double>(smoothing_step);
   double pitch_dev =
@@ -454,9 +454,9 @@ void EKFLocalizer::init_simple_1d_filters(
 {
   double z = pose.pose.pose.position.z;
 
-  const auto rpy = tier4_autoware_utils::getRPY(pose.pose.pose.orientation);
+  const auto rpy = autoware::universe_utils::getRPY(pose.pose.pose.orientation);
 
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   double z_dev = pose.pose.covariance[COV_IDX::Z_Z];
   double roll_dev = pose.pose.covariance[COV_IDX::ROLL_ROLL];
   double pitch_dev = pose.pose.covariance[COV_IDX::PITCH_PITCH];
diff --git a/localization/ekf_localizer/src/ekf_module.cpp b/localization/ekf_localizer/src/ekf_module.cpp
index 8703d8754eaaf..ba6b7dedca82c 100644
--- a/localization/ekf_localizer/src/ekf_module.cpp
+++ b/localization/ekf_localizer/src/ekf_module.cpp
@@ -22,8 +22,8 @@
 #include "ekf_localizer/state_transition.hpp"
 #include "ekf_localizer/warning_message.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/msg_covariance.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/msg_covariance.hpp>
 
 #include <fmt/core.h>
 #include <tf2/LinearMath/Quaternion.h>
@@ -65,7 +65,7 @@ void EKFModule::initialize(
   x(IDX::VX) = 0.0;
   x(IDX::WZ) = 0.0;
 
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   p(IDX::X, IDX::X) = initial_pose.pose.covariance[COV_IDX::X_X];
   p(IDX::Y, IDX::Y) = initial_pose.pose.covariance[COV_IDX::Y_Y];
   p(IDX::YAW, IDX::YAW) = initial_pose.pose.covariance[COV_IDX::YAW_YAW];
@@ -97,13 +97,13 @@ geometry_msgs::msg::PoseStamped EKFModule::get_current_pose(
   Pose current_ekf_pose;
   current_ekf_pose.header.frame_id = params_.pose_frame_id;
   current_ekf_pose.header.stamp = current_time;
-  current_ekf_pose.pose.position = tier4_autoware_utils::createPoint(x, y, z);
+  current_ekf_pose.pose.position = autoware::universe_utils::createPoint(x, y, z);
   if (get_biased_yaw) {
     current_ekf_pose.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromRPY(roll, pitch, biased_yaw);
+      autoware::universe_utils::createQuaternionFromRPY(roll, pitch, biased_yaw);
   } else {
     current_ekf_pose.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromRPY(roll, pitch, yaw);
+      autoware::universe_utils::createQuaternionFromRPY(roll, pitch, yaw);
   }
   return current_ekf_pose;
 }
@@ -285,7 +285,7 @@ bool EKFModule::measurement_update_pose(
 geometry_msgs::msg::PoseWithCovarianceStamped EKFModule::compensate_pose_with_z_delay(
   const PoseWithCovariance & pose, const double delay_time)
 {
-  const auto rpy = tier4_autoware_utils::getRPY(pose.pose.pose.orientation);
+  const auto rpy = autoware::universe_utils::getRPY(pose.pose.pose.orientation);
   const double dz_delay = kalman_filter_.getXelement(IDX::VX) * delay_time * std::sin(-rpy.y);
   PoseWithCovariance pose_with_z_delay;
   pose_with_z_delay = pose;
diff --git a/localization/ekf_localizer/src/measurement.cpp b/localization/ekf_localizer/src/measurement.cpp
index 4533bacbee991..faf8768938b7d 100644
--- a/localization/ekf_localizer/src/measurement.cpp
+++ b/localization/ekf_localizer/src/measurement.cpp
@@ -14,8 +14,8 @@
 
 #include "ekf_localizer/measurement.hpp"
 
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
 #include "ekf_localizer/state_index.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
 
 Eigen::Matrix<double, 3, 6> pose_measurement_matrix()
 {
@@ -38,7 +38,7 @@ Eigen::Matrix3d pose_measurement_covariance(
   const std::array<double, 36ul> & covariance, const size_t smoothing_step)
 {
   Eigen::Matrix3d r;
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   r << covariance.at(COV_IDX::X_X), covariance.at(COV_IDX::X_Y), covariance.at(COV_IDX::X_YAW),
     covariance.at(COV_IDX::Y_X), covariance.at(COV_IDX::Y_Y), covariance.at(COV_IDX::Y_YAW),
     covariance.at(COV_IDX::YAW_X), covariance.at(COV_IDX::YAW_Y), covariance.at(COV_IDX::YAW_YAW);
@@ -49,7 +49,7 @@ Eigen::Matrix2d twist_measurement_covariance(
   const std::array<double, 36ul> & covariance, const size_t smoothing_step)
 {
   Eigen::Matrix2d r;
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   r << covariance.at(COV_IDX::X_X), covariance.at(COV_IDX::X_YAW), covariance.at(COV_IDX::YAW_X),
     covariance.at(COV_IDX::YAW_YAW);
   return r * static_cast<double>(smoothing_step);
diff --git a/localization/gyro_odometer/include/gyro_odometer/gyro_odometer_core.hpp b/localization/gyro_odometer/include/gyro_odometer/gyro_odometer_core.hpp
index f85640ab2c523..f1f7214c3b848 100644
--- a/localization/gyro_odometer/include/gyro_odometer/gyro_odometer_core.hpp
+++ b/localization/gyro_odometer/include/gyro_odometer/gyro_odometer_core.hpp
@@ -15,10 +15,10 @@
 #ifndef GYRO_ODOMETER__GYRO_ODOMETER_CORE_HPP_
 #define GYRO_ODOMETER__GYRO_ODOMETER_CORE_HPP_
 
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "gyro_odometer/diagnostics_module.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -43,7 +43,7 @@ namespace autoware::gyro_odometer
 class GyroOdometerNode : public rclcpp::Node
 {
 private:
-  using COV_IDX = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
 
 public:
   explicit GyroOdometerNode(const rclcpp::NodeOptions & node_options);
@@ -67,8 +67,8 @@ class GyroOdometerNode : public rclcpp::Node
   rclcpp::Publisher<geometry_msgs::msg::TwistWithCovarianceStamped>::SharedPtr
     twist_with_covariance_pub_;
 
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   std::string output_frame_;
   double message_timeout_sec_;
diff --git a/localization/gyro_odometer/package.xml b/localization/gyro_odometer/package.xml
index 575f6a2d74837..faa64a1313ebb 100644
--- a/localization/gyro_odometer/package.xml
+++ b/localization/gyro_odometer/package.xml
@@ -17,6 +17,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>fmt</depend>
   <depend>geometry_msgs</depend>
@@ -25,7 +26,6 @@
   <depend>sensor_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/localization/gyro_odometer/src/gyro_odometer_core.cpp b/localization/gyro_odometer/src/gyro_odometer_core.cpp
index 0ec479770740f..c661f63d91535 100644
--- a/localization/gyro_odometer/src/gyro_odometer_core.cpp
+++ b/localization/gyro_odometer/src/gyro_odometer_core.cpp
@@ -33,7 +33,7 @@ namespace autoware::gyro_odometer
 
 std::array<double, 9> transform_covariance(const std::array<double, 9> & cov)
 {
-  using COV_IDX = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
 
   double max_cov = std::max({cov[COV_IDX::X_X], cov[COV_IDX::Y_Y], cov[COV_IDX::Z_Z]});
 
@@ -52,8 +52,8 @@ GyroOdometerNode::GyroOdometerNode(const rclcpp::NodeOptions & node_options)
   vehicle_twist_arrived_(false),
   imu_arrived_(false)
 {
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 
   vehicle_twist_sub_ = create_subscription<geometry_msgs::msg::TwistWithCovarianceStamped>(
     "vehicle/twist_with_covariance", rclcpp::QoS{100},
@@ -208,8 +208,8 @@ void GyroOdometerNode::concat_gyro_and_odometer()
     gyro.angular_velocity_covariance = transform_covariance(gyro.angular_velocity_covariance);
   }
 
-  using COV_IDX_XYZ = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
-  using COV_IDX_XYZRPY = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX_XYZ = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX_XYZRPY = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
 
   // calc mean, covariance
   double vx_mean = 0;
diff --git a/localization/localization_error_monitor/include/localization_error_monitor/localization_error_monitor.hpp b/localization/localization_error_monitor/include/localization_error_monitor/localization_error_monitor.hpp
index 53f243520742f..a178a305f6d12 100644
--- a/localization/localization_error_monitor/include/localization_error_monitor/localization_error_monitor.hpp
+++ b/localization/localization_error_monitor/include/localization_error_monitor/localization_error_monitor.hpp
@@ -16,8 +16,8 @@
 #define LOCALIZATION_ERROR_MONITOR__LOCALIZATION_ERROR_MONITOR_HPP_
 
 #include <Eigen/Dense>
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_array.hpp>
 #include <nav_msgs/msg/odometry.hpp>
@@ -43,7 +43,7 @@ class LocalizationErrorMonitor : public rclcpp::Node
 
   rclcpp::TimerBase::SharedPtr timer_;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   double scale_;
   double error_ellipse_size_;
diff --git a/localization/localization_error_monitor/package.xml b/localization/localization_error_monitor/package.xml
index 0138451b069e4..681da7e57c6c5 100644
--- a/localization/localization_error_monitor/package.xml
+++ b/localization/localization_error_monitor/package.xml
@@ -20,13 +20,13 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>eigen</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/localization/localization_error_monitor/src/localization_error_monitor.cpp b/localization/localization_error_monitor/src/localization_error_monitor.cpp
index 04bb37a85e41b..204afa7bdec2f 100644
--- a/localization/localization_error_monitor/src/localization_error_monitor.cpp
+++ b/localization/localization_error_monitor/src/localization_error_monitor.cpp
@@ -55,7 +55,7 @@ LocalizationErrorMonitor::LocalizationErrorMonitor(const rclcpp::NodeOptions & o
 
   diag_pub_ = this->create_publisher<diagnostic_msgs::msg::DiagnosticArray>("/diagnostics", 10);
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 visualization_msgs::msg::Marker LocalizationErrorMonitor::create_ellipse_marker(
diff --git a/localization/localization_util/CMakeLists.txt b/localization/localization_util/CMakeLists.txt
index fe65077d89649..9a9086314f42e 100644
--- a/localization/localization_util/CMakeLists.txt
+++ b/localization/localization_util/CMakeLists.txt
@@ -7,6 +7,7 @@ autoware_package()
 ament_auto_add_library(localization_util SHARED
   src/util_func.cpp
   src/smart_pose_buffer.cpp
+  src/tree_structured_parzen_estimator.cpp
 )
 
 if(BUILD_TESTING)
@@ -15,6 +16,11 @@ if(BUILD_TESTING)
     test/test_smart_pose_buffer.cpp
     src/smart_pose_buffer.cpp
   )
+
+  ament_auto_add_gtest(test_tpe
+    test/test_tpe.cpp
+    src/tree_structured_parzen_estimator.cpp
+  )
 endif()
 
 ament_auto_package(
diff --git a/localization/localization_util/README.md b/localization/localization_util/README.md
index a3e980464d0c6..a7daea33e0273 100644
--- a/localization/localization_util/README.md
+++ b/localization/localization_util/README.md
@@ -1,5 +1,5 @@
 # localization_util
 
-`localization_util`` is a localization utility package.
+`localization_util` is a localization utility package.
 
 This package does not have a node, it is just a library.
diff --git a/localization/tree_structured_parzen_estimator/include/tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp b/localization/localization_util/include/localization_util/tree_structured_parzen_estimator.hpp
similarity index 71%
rename from localization/tree_structured_parzen_estimator/include/tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp
rename to localization/localization_util/include/localization_util/tree_structured_parzen_estimator.hpp
index 30d36e7150113..ee25ac175c0b4 100644
--- a/localization/tree_structured_parzen_estimator/include/tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp
+++ b/localization/localization_util/include/localization_util/tree_structured_parzen_estimator.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef TREE_STRUCTURED_PARZEN_ESTIMATOR__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
-#define TREE_STRUCTURED_PARZEN_ESTIMATOR__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
+#ifndef LOCALIZATION_UTIL__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
+#define LOCALIZATION_UTIL__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
 
 /*
 A implementation of tree-structured parzen estimator (TPE)
@@ -56,19 +56,20 @@ class TreeStructuredParzenEstimator
 
   TreeStructuredParzenEstimator() = delete;
   TreeStructuredParzenEstimator(
-    const Direction direction, const int64_t n_startup_trials,
-    const std::vector<double> & sample_mean, const std::vector<double> & sample_stddev);
+    const Direction direction, const int64_t n_startup_trials, std::vector<double> sample_mean,
+    std::vector<double> sample_stddev);
   void add_trial(const Trial & trial);
-  Input get_next_input() const;
+  [[nodiscard]] Input get_next_input() const;
 
 private:
-  static constexpr double MAX_GOOD_RATE = 0.10;
-  static constexpr int64_t N_EI_CANDIDATES = 100;
+  static constexpr double max_good_rate = 0.10;
+  static constexpr int64_t n_ei_candidates = 100;
 
   static std::mt19937_64 engine;
 
-  double compute_log_likelihood_ratio(const Input & input) const;
-  double log_gaussian_pdf(const Input & input, const Input & mu, const Input & sigma) const;
+  [[nodiscard]] double compute_log_likelihood_ratio(const Input & input) const;
+  [[nodiscard]] static double log_gaussian_pdf(
+    const Input & input, const Input & mu, const Input & sigma);
 
   std::vector<Trial> trials_;
   int64_t above_num_;
@@ -80,4 +81,4 @@ class TreeStructuredParzenEstimator
   Input base_stddev_;
 };
 
-#endif  // TREE_STRUCTURED_PARZEN_ESTIMATOR__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
+#endif  // LOCALIZATION_UTIL__TREE_STRUCTURED_PARZEN_ESTIMATOR_HPP_
diff --git a/localization/localization_util/package.xml b/localization/localization_util/package.xml
index fa8da2aa1231a..bb1ca3123ad27 100644
--- a/localization/localization_util/package.xml
+++ b/localization/localization_util/package.xml
@@ -17,6 +17,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>fmt</depend>
   <depend>geometry_msgs</depend>
   <depend>nav_msgs</depend>
@@ -29,7 +30,6 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_localization_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/localization/tree_structured_parzen_estimator/src/tree_structured_parzen_estimator.cpp b/localization/localization_util/src/tree_structured_parzen_estimator.cpp
similarity index 86%
rename from localization/tree_structured_parzen_estimator/src/tree_structured_parzen_estimator.cpp
rename to localization/localization_util/src/tree_structured_parzen_estimator.cpp
index c81962c14f61c..aab78f0aaec71 100644
--- a/localization/tree_structured_parzen_estimator/src/tree_structured_parzen_estimator.cpp
+++ b/localization/localization_util/src/tree_structured_parzen_estimator.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp"
+#include "localization_util/tree_structured_parzen_estimator.hpp"
 
 #include <algorithm>
 #include <cassert>
@@ -23,14 +23,14 @@
 std::mt19937_64 TreeStructuredParzenEstimator::engine(std::random_device{}());
 
 TreeStructuredParzenEstimator::TreeStructuredParzenEstimator(
-  const Direction direction, const int64_t n_startup_trials,
-  const std::vector<double> & sample_mean, const std::vector<double> & sample_stddev)
+  const Direction direction, const int64_t n_startup_trials, std::vector<double> sample_mean,
+  std::vector<double> sample_stddev)
 : above_num_(0),
   direction_(direction),
   n_startup_trials_(n_startup_trials),
   input_dimension_(INDEX_NUM),
-  sample_mean_(sample_mean),
-  sample_stddev_(sample_stddev)
+  sample_mean_(std::move(sample_mean)),
+  sample_stddev_(std::move(sample_stddev))
 {
   if (sample_mean_.size() != ANGLE_Z) {
     std::cerr << "sample_mean size is invalid" << std::endl;
@@ -56,8 +56,9 @@ void TreeStructuredParzenEstimator::add_trial(const Trial & trial)
   std::sort(trials_.begin(), trials_.end(), [this](const Trial & lhs, const Trial & rhs) {
     return (direction_ == Direction::MAXIMIZE ? lhs.score > rhs.score : lhs.score < rhs.score);
   });
-  above_num_ =
-    std::min({static_cast<int64_t>(10), static_cast<int64_t>(trials_.size() * MAX_GOOD_RATE)});
+  above_num_ = std::min(
+    {static_cast<int64_t>(10),
+     static_cast<int64_t>(static_cast<double>(trials_.size()) * max_good_rate)});
 }
 
 TreeStructuredParzenEstimator::Input TreeStructuredParzenEstimator::get_next_input() const
@@ -88,7 +89,7 @@ TreeStructuredParzenEstimator::Input TreeStructuredParzenEstimator::get_next_inp
 
   Input best_input;
   double best_log_likelihood_ratio = std::numeric_limits<double>::lowest();
-  for (int64_t i = 0; i < N_EI_CANDIDATES; i++) {
+  for (int64_t i = 0; i < n_ei_candidates; i++) {
     Input input(input_dimension_);
     input[TRANS_X] = dist_normal_trans_x(engine);
     input[TRANS_Y] = dist_normal_trans_y(engine);
@@ -107,7 +108,7 @@ TreeStructuredParzenEstimator::Input TreeStructuredParzenEstimator::get_next_inp
 
 double TreeStructuredParzenEstimator::compute_log_likelihood_ratio(const Input & input) const
 {
-  const int64_t n = trials_.size();
+  const auto n = static_cast<int64_t>(trials_.size());
 
   // The above KDE and the below KDE are calculated respectively, and the ratio is the criteria to
   // select best sample.
@@ -117,11 +118,11 @@ double TreeStructuredParzenEstimator::compute_log_likelihood_ratio(const Input &
   for (int64_t i = 0; i < n; i++) {
     const double log_p = log_gaussian_pdf(input, trials_[i].input, base_stddev_);
     if (i < above_num_) {
-      const double w = 1.0 / above_num_;
+      const double w = 1.0 / static_cast<double>(above_num_);
       const double log_w = std::log(w);
       above_logs.push_back(log_p + log_w);
     } else {
-      const double w = 1.0 / (n - above_num_);
+      const double w = 1.0 / static_cast<double>(n - above_num_);
       const double log_w = std::log(w);
       below_logs.push_back(log_p + log_w);
     }
@@ -129,10 +130,9 @@ double TreeStructuredParzenEstimator::compute_log_likelihood_ratio(const Input &
 
   auto log_sum_exp = [](const std::vector<double> & log_vec) {
     const double max = *std::max_element(log_vec.begin(), log_vec.end());
-    double sum = 0.0;
-    for (const double log_v : log_vec) {
-      sum += std::exp(log_v - max);
-    }
+    double sum = std::accumulate(
+      log_vec.begin(), log_vec.end(), 0.0,
+      [max](double total, double log_v) { return total + std::exp(log_v - max); });
     return max + std::log(sum);
   };
 
@@ -147,14 +147,14 @@ double TreeStructuredParzenEstimator::compute_log_likelihood_ratio(const Input &
 }
 
 double TreeStructuredParzenEstimator::log_gaussian_pdf(
-  const Input & input, const Input & mu, const Input & sigma) const
+  const Input & input, const Input & mu, const Input & sigma)
 {
   const double log_2pi = std::log(2.0 * M_PI);
   auto log_gaussian_pdf_1d = [&](const double diff, const double sigma) {
     return -0.5 * log_2pi - std::log(sigma) - (diff * diff) / (2.0 * sigma * sigma);
   };
 
-  const int64_t n = input.size();
+  const auto n = static_cast<int64_t>(input.size());
 
   double result = 0.0;
   for (int64_t i = 0; i < n; i++) {
diff --git a/localization/tree_structured_parzen_estimator/test/test_tpe.cpp b/localization/localization_util/test/test_tpe.cpp
similarity index 64%
rename from localization/tree_structured_parzen_estimator/test/test_tpe.cpp
rename to localization/localization_util/test/test_tpe.cpp
index f8a697878d6a3..fd9afe8b2a75f 100644
--- a/localization/tree_structured_parzen_estimator/test/test_tpe.cpp
+++ b/localization/localization_util/test/test_tpe.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp"
+#include "localization_util/tree_structured_parzen_estimator.hpp"
 
 #include <gtest/gtest.h>
 
@@ -20,7 +20,7 @@ TEST(TreeStructuredParzenEstimatorTest, TPE_is_better_than_random_search_on_sphe
 {
   auto sphere_function = [](const TreeStructuredParzenEstimator::Input & input) {
     double value = 0.0;
-    const int64_t n = input.size();
+    const auto n = static_cast<int64_t>(input.size());
     for (int64_t i = 0; i < n; i++) {
       const double v = input[i] * 10;
       value += v * v;
@@ -28,26 +28,23 @@ TEST(TreeStructuredParzenEstimatorTest, TPE_is_better_than_random_search_on_sphe
     return value;
   };
 
-  constexpr int64_t kOuterTrialsNum = 20;
-  constexpr int64_t kInnerTrialsNum = 200;
+  constexpr int64_t k_outer_trials_num = 20;
+  constexpr int64_t k_inner_trials_num = 200;
   std::cout << std::fixed;
   std::vector<double> mean_scores;
-  const int64_t n_startup_trials = kInnerTrialsNum / 10;
-  const std::string method = ((n_startup_trials == kInnerTrialsNum) ? "Random" : "TPE");
+  std::vector<double> sample_mean(5, 0.0);
+  std::vector<double> sample_stddev{1.0, 1.0, 0.1, 0.1, 0.1};
 
-  const std::vector<double> sample_mean(5, 0.0);
-  const std::vector<double> sample_stddev{1.0, 1.0, 0.1, 0.1, 0.1};
-
-  for (const int64_t n_startup_trials : {kInnerTrialsNum, kInnerTrialsNum / 2}) {
-    const std::string method = ((n_startup_trials == kInnerTrialsNum) ? "Random" : "TPE");
+  for (const int64_t n_startup_trials : {k_inner_trials_num, k_inner_trials_num / 2}) {
+    const std::string method = ((n_startup_trials == k_inner_trials_num) ? "Random" : "TPE");
 
     std::vector<double> scores;
-    for (int64_t i = 0; i < kOuterTrialsNum; i++) {
+    for (int64_t i = 0; i < k_outer_trials_num; i++) {
       double best_score = std::numeric_limits<double>::lowest();
       TreeStructuredParzenEstimator estimator(
         TreeStructuredParzenEstimator::Direction::MAXIMIZE, n_startup_trials, sample_mean,
         sample_stddev);
-      for (int64_t trial = 0; trial < kInnerTrialsNum; trial++) {
+      for (int64_t trial = 0; trial < k_inner_trials_num; trial++) {
         const TreeStructuredParzenEstimator::Input input = estimator.get_next_input();
         const double score = -sphere_function(input);
         estimator.add_trial({input, score});
@@ -57,13 +54,12 @@ TEST(TreeStructuredParzenEstimatorTest, TPE_is_better_than_random_search_on_sphe
     }
 
     const double sum = std::accumulate(scores.begin(), scores.end(), 0.0);
-    const double mean = sum / scores.size();
+    const double mean = sum / static_cast<double>(scores.size());
     mean_scores.push_back(mean);
-    double sq_sum = 0.0;
-    for (const double score : scores) {
-      sq_sum += (score - mean) * (score - mean);
-    }
-    const double stddev = std::sqrt(sq_sum / scores.size());
+    double sq_sum = std::accumulate(
+      scores.begin(), scores.end(), 0.0,
+      [mean](double total, double score) { return total + (score - mean) * (score - mean); });
+    const double stddev = std::sqrt(sq_sum / static_cast<double>(scores.size()));
 
     std::cout << method << ", mean = " << mean << ", stddev = " << stddev << std::endl;
   }
diff --git a/localization/ndt_scan_matcher/README.md b/localization/ndt_scan_matcher/README.md
index 8049104e8f2f5..48ce49d2bcaa9 100644
--- a/localization/ndt_scan_matcher/README.md
+++ b/localization/ndt_scan_matcher/README.md
@@ -266,7 +266,7 @@ initial_pose_offset_model_x & initial_pose_offset_model_y must have the same num
 | ------------------------------------------------ | -------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------- | --------------------------------------------------------------------------------------------------- |
 | `topic_time_stamp`                               | the time stamp of input topic                                                          | none                                                                                                                                                                                                                                                                                                                                                                     | none                          | no                                                                                                  |
 | `sensor_points_size`                             | the size of sensor points                                                              | the size is 0                                                                                                                                                                                                                                                                                                                                                            | none                          | yes                                                                                                 |
-| `sensor_points_delay_time_sec`                   | the delay time of sensor points                                                        | the time is **longer** than `validation.lidar_topic_timeout_sec`                                                                                                                                                                                                                                                                                                         | none                          | yes                                                                                                 |
+| `sensor_points_delay_time_sec`                   | the delay time of sensor points                                                        | the time is **longer** than `sensor_points.timeout_sec`                                                                                                                                                                                                                                                                                                                  | none                          | yes                                                                                                 |
 | `is_succeed_transform_sensor_points`             | whether transform sensor points is succeed or not                                      | none                                                                                                                                                                                                                                                                                                                                                                     | failed                        | yes                                                                                                 |
 | `sensor_points_max_distance`                     | the max distance of sensor points                                                      | the max distance is **shorter** than `sensor_points.required_distance`                                                                                                                                                                                                                                                                                                   | none                          | yes                                                                                                 |
 | `is_activated`                                   | whether the node is in the "activate" state or not                                     | not "activate" state                                                                                                                                                                                                                                                                                                                                                     | none                          | if `is_activated` is false, then estimation is not executed and `skipping_publish_num` is set to 0. |
@@ -280,9 +280,9 @@ initial_pose_offset_model_x & initial_pose_offset_model_y must have the same num
 | `nearest_voxel_transformation_likelihood`        | the score of how well the map aligns with the sensor points                            | the score is **smaller** than `score_estimation.converged_param_nearest_voxel_transformation_likelihood` (only in the case of `score_estimation.converged_param_type` is 1=NEAREST_VOXEL_TRANSFORMATION_LIKELIHOOD)                                                                                                                                                      | none                          | yes                                                                                                 |
 | `nearest_voxel_transformation_likelihood_diff`   | the nvtl score difference for the current ndt optimization                             | none                                                                                                                                                                                                                                                                                                                                                                     | none                          | no                                                                                                  |
 | `nearest_voxel_transformation_likelihood_before` | the nvtl score before the current ndt optimization                                     | none                                                                                                                                                                                                                                                                                                                                                                     | none                          | no                                                                                                  |
-| `distance_initial_to_result`                     | the distance between the position before convergence processing and the position after | the distance is **longer** than 3                                                                                                                                                                                                                                                                                                                                        | none                          | no                                                                                                  |
+| `distance_initial_to_result`                     | the distance between the position before convergence processing and the position after | the distance is **longer** than `validation.initial_to_result_distance_tolerance_m`                                                                                                                                                                                                                                                                                      | none                          | no                                                                                                  |
 | `execution_time`                                 | the time for convergence processing                                                    | the time is **longer** than `validation.critical_upper_bound_exe_time_ms`                                                                                                                                                                                                                                                                                                | none                          | no                                                                                                  |
-| `skipping_publish_num`                           | the number of times rejected estimation results consecutively                          | the number of times is 5 or more                                                                                                                                                                                                                                                                                                                                         | none                          | -                                                                                                   |
+| `skipping_publish_num`                           | the number of times rejected estimation results consecutively                          | the number of times is `validation.skipping_publish_num` or more                                                                                                                                                                                                                                                                                                         | none                          | -                                                                                                   |
 
 ※The `sensor_points_callback` shares the same callback group as the `trigger_node_service` and `ndt_align_service`. Consequently, if the initial pose estimation takes too long, this diagnostic may become stale.
 
diff --git a/localization/ndt_scan_matcher/config/ndt_scan_matcher.param.yaml b/localization/ndt_scan_matcher/config/ndt_scan_matcher.param.yaml
index ec80a0ef79c69..f62329b8bdb6d 100644
--- a/localization/ndt_scan_matcher/config/ndt_scan_matcher.param.yaml
+++ b/localization/ndt_scan_matcher/config/ndt_scan_matcher.param.yaml
@@ -12,6 +12,9 @@
 
 
     sensor_points:
+      # Tolerance of timestamp difference between current time and sensor pointcloud. [sec]
+      timeout_sec: 1.0
+
       # Required distance of input sensor points. [m]
       # If the max distance of input sensor points is lower than this value, the scan matching will not be performed.
       required_distance: 10.0
@@ -52,18 +55,21 @@
 
 
     validation:
-      # Tolerance of timestamp difference between current time and sensor pointcloud. [sec]
-      lidar_topic_timeout_sec: 1.0
-
       # Tolerance of timestamp difference between initial_pose and sensor pointcloud. [sec]
       initial_pose_timeout_sec: 1.0
 
       # Tolerance of distance difference between two initial poses used for linear interpolation. [m]
       initial_pose_distance_tolerance_m: 10.0
 
+      # Tolerance of distance difference from initial pose to result pose. [m]
+      initial_to_result_distance_tolerance_m: 3.0
+
       # The execution time which means probably NDT cannot matches scans properly. [ms]
       critical_upper_bound_exe_time_ms: 100.0
 
+      # Tolerance for the number of times rejected estimation results consecutively
+      skipping_publish_num: 5
+
 
     score_estimation:
       # Converged param type
diff --git a/localization/ndt_scan_matcher/include/ndt_scan_matcher/hyper_parameters.hpp b/localization/ndt_scan_matcher/include/ndt_scan_matcher/hyper_parameters.hpp
index 7002b4bf43a73..e488b49393d48 100644
--- a/localization/ndt_scan_matcher/include/ndt_scan_matcher/hyper_parameters.hpp
+++ b/localization/ndt_scan_matcher/include/ndt_scan_matcher/hyper_parameters.hpp
@@ -40,6 +40,7 @@ struct HyperParameters
 
   struct SensorPoints
   {
+    double timeout_sec{};
     double required_distance{};
   } sensor_points{};
 
@@ -54,10 +55,11 @@ struct HyperParameters
 
   struct Validation
   {
-    double lidar_topic_timeout_sec{};
     double initial_pose_timeout_sec{};
     double initial_pose_distance_tolerance_m{};
+    double initial_to_result_distance_tolerance_m{};
     double critical_upper_bound_exe_time_ms{};
+    int64_t skipping_publish_num{};
   } validation{};
 
   struct ScoreEstimation
@@ -97,6 +99,7 @@ struct HyperParameters
     frame.ndt_base_frame = node->declare_parameter<std::string>("frame.ndt_base_frame");
     frame.map_frame = node->declare_parameter<std::string>("frame.map_frame");
 
+    sensor_points.timeout_sec = node->declare_parameter<double>("sensor_points.timeout_sec");
     sensor_points.required_distance =
       node->declare_parameter<double>("sensor_points.required_distance");
 
@@ -115,14 +118,16 @@ struct HyperParameters
     initial_pose_estimation.n_startup_trials =
       node->declare_parameter<int64_t>("initial_pose_estimation.n_startup_trials");
 
-    validation.lidar_topic_timeout_sec =
-      node->declare_parameter<double>("validation.lidar_topic_timeout_sec");
     validation.initial_pose_timeout_sec =
       node->declare_parameter<double>("validation.initial_pose_timeout_sec");
     validation.initial_pose_distance_tolerance_m =
       node->declare_parameter<double>("validation.initial_pose_distance_tolerance_m");
+    validation.initial_to_result_distance_tolerance_m =
+      node->declare_parameter<double>("validation.initial_to_result_distance_tolerance_m");
     validation.critical_upper_bound_exe_time_ms =
       node->declare_parameter<double>("validation.critical_upper_bound_exe_time_ms");
+    validation.skipping_publish_num =
+      node->declare_parameter<int64_t>("validation.skipping_publish_num");
 
     const int64_t converged_param_type_tmp =
       node->declare_parameter<int64_t>("score_estimation.converged_param_type");
diff --git a/localization/ndt_scan_matcher/include/ndt_scan_matcher/map_update_module.hpp b/localization/ndt_scan_matcher/include/ndt_scan_matcher/map_update_module.hpp
index 2bcb6f4cf6fb8..ac913b128b5f1 100644
--- a/localization/ndt_scan_matcher/include/ndt_scan_matcher/map_update_module.hpp
+++ b/localization/ndt_scan_matcher/include/ndt_scan_matcher/map_update_module.hpp
@@ -20,9 +20,9 @@
 #include "ndt_scan_matcher/hyper_parameters.hpp"
 #include "ndt_scan_matcher/particle.hpp"
 
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
 
 #include <autoware_map_msgs/srv/get_differential_point_cloud_map.hpp>
 #include <geometry_msgs/msg/pose_with_covariance_stamped.hpp>
diff --git a/localization/ndt_scan_matcher/include/ndt_scan_matcher/ndt_scan_matcher_core.hpp b/localization/ndt_scan_matcher/include/ndt_scan_matcher/ndt_scan_matcher_core.hpp
index cbd2797c57922..2f3eb82b1c217 100644
--- a/localization/ndt_scan_matcher/include/ndt_scan_matcher/ndt_scan_matcher_core.hpp
+++ b/localization/ndt_scan_matcher/include/ndt_scan_matcher/ndt_scan_matcher_core.hpp
@@ -22,8 +22,8 @@
 #include "ndt_scan_matcher/hyper_parameters.hpp"
 #include "ndt_scan_matcher/map_update_module.hpp"
 
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_array.hpp>
 #include <geometry_msgs/msg/pose_array.hpp>
@@ -203,7 +203,7 @@ class NDTScanMatcher : public rclcpp::Node
   std::unique_ptr<DiagnosticsModule> diagnostics_ndt_align_;
   std::unique_ptr<DiagnosticsModule> diagnostics_trigger_node_;
   std::unique_ptr<MapUpdateModule> map_update_module_;
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   HyperParameters param_;
 };
diff --git a/localization/ndt_scan_matcher/package.xml b/localization/ndt_scan_matcher/package.xml
index b62e810926331..c69836d77c825 100644
--- a/localization/ndt_scan_matcher/package.xml
+++ b/localization/ndt_scan_matcher/package.xml
@@ -19,6 +19,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>fmt</depend>
   <depend>geometry_msgs</depend>
@@ -37,10 +38,8 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_localization_msgs</depend>
-  <depend>tree_structured_parzen_estimator</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_cppcheck</test_depend>
diff --git a/localization/ndt_scan_matcher/schema/sub/sensor_points.json b/localization/ndt_scan_matcher/schema/sub/sensor_points.json
index 68a0b40f8f94e..12bda6fb38d24 100644
--- a/localization/ndt_scan_matcher/schema/sub/sensor_points.json
+++ b/localization/ndt_scan_matcher/schema/sub/sensor_points.json
@@ -5,13 +5,19 @@
     "sensor_points": {
       "type": "object",
       "properties": {
+        "timeout_sec": {
+          "type": "number",
+          "description": "Tolerance of timestamp difference between current time and sensor pointcloud. [sec]",
+          "default": 1.0,
+          "minimum": 0.0
+        },
         "required_distance": {
           "type": "number",
           "description": "Required distance of input sensor points [m]. If the max distance of input sensor points is lower than this value, the scan matching will not be performed.",
           "default": "10.0"
         }
       },
-      "required": ["required_distance"],
+      "required": ["timeout_sec", "required_distance"],
       "additionalProperties": false
     }
   }
diff --git a/localization/ndt_scan_matcher/schema/sub/validation.json b/localization/ndt_scan_matcher/schema/sub/validation.json
index 5ad40ceb99577..c1168d733ff9d 100644
--- a/localization/ndt_scan_matcher/schema/sub/validation.json
+++ b/localization/ndt_scan_matcher/schema/sub/validation.json
@@ -5,12 +5,6 @@
     "validation": {
       "type": "object",
       "properties": {
-        "lidar_topic_timeout_sec": {
-          "type": "number",
-          "description": "Tolerance of timestamp difference between current time and sensor pointcloud. [sec]",
-          "default": 1.0,
-          "minimum": 0.0
-        },
         "initial_pose_timeout_sec": {
           "type": "number",
           "description": "Tolerance of timestamp difference between initial_pose and sensor pointcloud. [sec]",
@@ -23,18 +17,31 @@
           "default": 10.0,
           "minimum": 0.0
         },
+        "initial_to_result_distance_tolerance_m": {
+          "type": "number",
+          "description": "Tolerance of distance difference from initial pose to result pose. [m]",
+          "default": 3.0,
+          "minimum": 0.0
+        },
         "critical_upper_bound_exe_time_ms": {
           "type": "number",
           "description": "The execution time which means probably NDT cannot matches scans properly. [ms]",
           "default": 100.0,
           "minimum": 0.0
+        },
+        "skipping_publish_num": {
+          "type": "number",
+          "description": "Tolerance for the number for times rejected estimation results consecutively.",
+          "default": 5,
+          "minimum": 1
         }
       },
       "required": [
-        "lidar_topic_timeout_sec",
         "initial_pose_timeout_sec",
         "initial_pose_distance_tolerance_m",
-        "critical_upper_bound_exe_time_ms"
+        "initial_to_result_distance_tolerance_m",
+        "critical_upper_bound_exe_time_ms",
+        "skipping_publish_num"
       ],
       "additionalProperties": false
     }
diff --git a/localization/ndt_scan_matcher/src/ndt_scan_matcher_core.cpp b/localization/ndt_scan_matcher/src/ndt_scan_matcher_core.cpp
index e84d6709c3151..ca486a320d9dc 100644
--- a/localization/ndt_scan_matcher/src/ndt_scan_matcher_core.cpp
+++ b/localization/ndt_scan_matcher/src/ndt_scan_matcher_core.cpp
@@ -15,12 +15,12 @@
 #include "ndt_scan_matcher/ndt_scan_matcher_core.hpp"
 
 #include "localization_util/matrix_type.hpp"
+#include "localization_util/tree_structured_parzen_estimator.hpp"
 #include "localization_util/util_func.hpp"
 #include "ndt_scan_matcher/particle.hpp"
-#include "tree_structured_parzen_estimator/tree_structured_parzen_estimator.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
 
 #include <pcl_conversions/pcl_conversions.h>
 
@@ -210,7 +210,7 @@ NDTScanMatcher::NDTScanMatcher(const rclcpp::NodeOptions & options)
   diagnostics_trigger_node_ =
     std::make_unique<DiagnosticsModule>(this, "trigger_node_service_status");
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 void NDTScanMatcher::callback_timer()
@@ -300,12 +300,11 @@ void NDTScanMatcher::callback_sensor_points(
     callback_sensor_points_main(sensor_points_msg_in_sensor_frame);
 
   // check skipping_publish_num
-  static size_t skipping_publish_num = 0;
-  const size_t error_skipping_publish_num = 5;
+  static int64_t skipping_publish_num = 0;
   skipping_publish_num =
     ((is_succeed_scan_matching || !is_activated_) ? 0 : (skipping_publish_num + 1));
   diagnostics_scan_points_->add_key_value("skipping_publish_num", skipping_publish_num);
-  if (skipping_publish_num >= error_skipping_publish_num) {
+  if (skipping_publish_num >= param_.validation.skipping_publish_num) {
     std::stringstream message;
     message << "skipping_publish_num exceed limit (" << skipping_publish_num << " times).";
     diagnostics_scan_points_->update_level_and_message(
@@ -340,11 +339,11 @@ bool NDTScanMatcher::callback_sensor_points_main(
     (this->now() - sensor_points_msg_in_sensor_frame->header.stamp).seconds();
   diagnostics_scan_points_->add_key_value(
     "sensor_points_delay_time_sec", sensor_points_delay_time_sec);
-  if (sensor_points_delay_time_sec > param_.validation.lidar_topic_timeout_sec) {
+  if (sensor_points_delay_time_sec > param_.sensor_points.timeout_sec) {
     std::stringstream message;
     message << "sensor points is experiencing latency."
             << "The delay time is " << sensor_points_delay_time_sec << "[sec] "
-            << "(the tolerance is " << param_.validation.lidar_topic_timeout_sec << "[sec]).";
+            << "(the tolerance is " << param_.sensor_points.timeout_sec << "[sec]).";
     diagnostics_scan_points_->update_level_and_message(
       diagnostic_msgs::msg::DiagnosticStatus::WARN, message.str());
 
@@ -578,8 +577,7 @@ bool NDTScanMatcher::callback_sensor_points_main(
   const auto distance_initial_to_result = static_cast<double>(
     norm(interpolation_result.interpolated_pose.pose.pose.position, result_pose_msg.position));
   diagnostics_scan_points_->add_key_value("distance_initial_to_result", distance_initial_to_result);
-  const double warn_distance_initial_to_result = 3.0;
-  if (distance_initial_to_result > warn_distance_initial_to_result) {
+  if (distance_initial_to_result > param_.validation.initial_to_result_distance_tolerance_m) {
     std::stringstream message;
     message << "distance_initial_to_result is too large (" << distance_initial_to_result
             << " [m]).";
@@ -617,7 +615,7 @@ bool NDTScanMatcher::callback_sensor_points_main(
 
   pcl::shared_ptr<pcl::PointCloud<PointSource>> sensor_points_in_map_ptr(
     new pcl::PointCloud<PointSource>);
-  tier4_autoware_utils::transformPointCloud(
+  autoware::universe_utils::transformPointCloud(
     *sensor_points_in_baselink_frame, *sensor_points_in_map_ptr, ndt_result.pose);
   publish_point_cloud(sensor_ros_time, param_.frame.map_frame, sensor_points_in_map_ptr);
 
@@ -673,10 +671,10 @@ void NDTScanMatcher::transform_sensor_measurement(
   }
 
   const geometry_msgs::msg::PoseStamped target_to_source_pose_stamped =
-    tier4_autoware_utils::transform2pose(transform);
+    autoware::universe_utils::transform2pose(transform);
   const Eigen::Matrix4f base_to_sensor_matrix =
     pose_to_matrix4f(target_to_source_pose_stamped.pose);
-  tier4_autoware_utils::transformPointCloud(
+  autoware::universe_utils::transformPointCloud(
     *sensor_points_input_ptr, *sensor_points_output_ptr, base_to_sensor_matrix);
 }
 
@@ -688,7 +686,7 @@ void NDTScanMatcher::publish_tf(
   result_pose_stamped_msg.header.frame_id = param_.frame.map_frame;
   result_pose_stamped_msg.pose = result_pose_msg;
   tf2_broadcaster_.sendTransform(
-    tier4_autoware_utils::pose2transform(result_pose_stamped_msg, param_.frame.ndt_base_frame));
+    autoware::universe_utils::pose2transform(result_pose_stamped_msg, param_.frame.ndt_base_frame));
 }
 
 void NDTScanMatcher::publish_pose(
@@ -732,7 +730,7 @@ void NDTScanMatcher::publish_marker(
   marker.header.frame_id = param_.frame.map_frame;
   marker.type = visualization_msgs::msg::Marker::ARROW;
   marker.action = visualization_msgs::msg::Marker::ADD;
-  marker.scale = tier4_autoware_utils::createMarkerScale(0.3, 0.1, 0.1);
+  marker.scale = autoware::universe_utils::createMarkerScale(0.3, 0.1, 0.1);
   int i = 0;
   marker.ns = "result_pose_matrix_array";
   marker.action = visualization_msgs::msg::Marker::ADD;
@@ -761,7 +759,7 @@ void NDTScanMatcher::publish_initial_to_result(
 {
   geometry_msgs::msg::PoseStamped initial_to_result_relative_pose_stamped;
   initial_to_result_relative_pose_stamped.pose =
-    tier4_autoware_utils::inverseTransformPose(result_pose_msg, initial_pose_cov_msg.pose.pose);
+    autoware::universe_utils::inverseTransformPose(result_pose_msg, initial_pose_cov_msg.pose.pose);
   initial_to_result_relative_pose_stamped.header.stamp = sensor_ros_time;
   initial_to_result_relative_pose_stamped.header.frame_id = param_.frame.map_frame;
   initial_to_result_relative_pose_pub_->publish(initial_to_result_relative_pose_stamped);
@@ -1070,8 +1068,8 @@ geometry_msgs::msg::PoseWithCovarianceStamped NDTScanMatcher::align_pose(
     const pclomp::NdtResult ndt_result = ndt_ptr_->getResult();
 
     Particle particle(
-      initial_pose, matrix4f_to_pose(ndt_result.pose), ndt_result.transform_probability,
-      ndt_result.iteration_num);
+      initial_pose, matrix4f_to_pose(ndt_result.pose),
+      ndt_result.nearest_voxel_transformation_likelihood, ndt_result.iteration_num);
     particle_array.push_back(particle);
     push_debug_markers(marker_array, get_clock()->now(), param_.frame.map_frame, particle, i);
     if (
@@ -1093,7 +1091,7 @@ geometry_msgs::msg::PoseWithCovarianceStamped NDTScanMatcher::align_pose(
     tpe.add_trial(TreeStructuredParzenEstimator::Trial{result, ndt_result.transform_probability});
 
     auto sensor_points_in_map_ptr = std::make_shared<pcl::PointCloud<PointSource>>();
-    tier4_autoware_utils::transformPointCloud(
+    autoware::universe_utils::transformPointCloud(
       *ndt_ptr_->getInputSource(), *sensor_points_in_map_ptr, ndt_result.pose);
     publish_point_cloud(
       initial_pose_with_cov.header.stamp, param_.frame.map_frame, sensor_points_in_map_ptr);
@@ -1103,6 +1101,13 @@ geometry_msgs::msg::PoseWithCovarianceStamped NDTScanMatcher::align_pose(
     std::begin(particle_array), std::end(particle_array),
     [](const Particle & lhs, const Particle & rhs) { return lhs.score < rhs.score; });
 
+  if (
+    best_particle_ptr->score <
+    param_.score_estimation.converged_param_nearest_voxel_transformation_likelihood)
+    RCLCPP_WARN_STREAM(
+      this->get_logger(),
+      "Initial Pose Estimation is Unstable. Score is " << best_particle_ptr->score);
+
   geometry_msgs::msg::PoseWithCovarianceStamped result_pose_with_cov_msg;
   result_pose_with_cov_msg.header.stamp = initial_pose_with_cov.header.stamp;
   result_pose_with_cov_msg.header.frame_id = param_.frame.map_frame;
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/grid_key.hpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/grid_key.hpp
index c366a7f02f4fe..b4ad7111e4ba0 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/grid_key.hpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/grid_key.hpp
@@ -30,7 +30,7 @@ struct GridKey
   GridKey() : x(0), y(0) {}
   GridKey(float x, float y) : x(std::floor(x / unit_length)), y(std::floor(y / unit_length)) {}
 
-  pcl::PointXYZ get_center_point() const
+  [[nodiscard]] pcl::PointXYZ get_center_point() const
   {
     pcl::PointXYZ xyz;
     xyz.x = unit_length * (static_cast<float>(x) + 0.5f);
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.cpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.cpp
index 72071b23b467f..4b0188a1638f6 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.cpp
@@ -20,6 +20,11 @@
 
 #include <pcl_conversions/pcl_conversions.h>
 
+#include <memory>
+#include <string>
+#include <unordered_map>
+#include <vector>
+
 namespace pose_estimator_arbiter::rule_helper
 {
 PcdOccupancy::PcdOccupancy(int pcd_density_upper_threshold, int pcd_density_lower_threshold)
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.hpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.hpp
index e5eb4ff091a31..098704e11aba9 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.hpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pcd_occupancy.hpp
@@ -24,6 +24,8 @@
 #include <pcl/point_cloud.h>
 #include <pcl/point_types.h>
 
+#include <string>
+
 namespace pose_estimator_arbiter::rule_helper
 {
 class PcdOccupancy
@@ -34,7 +36,7 @@ class PcdOccupancy
 public:
   explicit PcdOccupancy(int pcd_density_upper_threshold, int pcd_density_lower_threshold);
 
-  MarkerArray debug_marker_array() const;
+  [[nodiscard]] MarkerArray debug_marker_array() const;
   void init(PointCloud2::ConstSharedPtr msg);
   bool ndt_can_operate(
     const geometry_msgs::msg::Point & position, std::string * optional_message = nullptr) const;
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.cpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.cpp
index 4eea34f9ae1ee..df7f9c6c1035f 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.cpp
@@ -33,14 +33,14 @@ using BoostPolygon = boost::geometry::model::polygon<BoostPoint>;
 
 struct PoseEstimatorArea::Impl
 {
-  explicit Impl(rclcpp::Logger logger) : logger_(logger) {}
+  explicit Impl(const rclcpp::Logger & logger) : logger_(logger) {}
   std::multimap<std::string, BoostPolygon> bounding_boxes_;
 
   void init(HADMapBin::ConstSharedPtr msg);
-  bool within(
+  [[nodiscard]] bool within(
     const geometry_msgs::msg::Point & point, const std::string & pose_estimator_name) const;
 
-  MarkerArray debug_marker_array() const { return marker_array_; }
+  [[nodiscard]] MarkerArray debug_marker_array() const { return marker_array_; }
 
 private:
   rclcpp::Logger logger_;
@@ -105,7 +105,7 @@ void PoseEstimatorArea::Impl::init(HADMapBin::ConstSharedPtr msg)
     marker.color.set__r(1.0f).set__g(1.0f).set__b(0.0f).set__a(1.0f);
     marker.ns = subtype;
     marker.header.frame_id = "map";
-    marker.id = marker_array_.markers.size();
+    marker.id = static_cast<int>(marker_array_.markers.size());
 
     // Enqueue the vertices of the polygon to bounding box and visualization marker
     BoostPolygon poly;
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.hpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.hpp
index 392219b2281e1..74843c66a4eba 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.hpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/rule_helper/pose_estimator_area.hpp
@@ -40,10 +40,10 @@ class PoseEstimatorArea
   // This is assumed to be called only once in the vector map callback.
   void init(const HADMapBin::ConstSharedPtr msg);
 
-  bool within(
+  [[nodiscard]] bool within(
     const geometry_msgs::msg::Point & point, const std::string & pose_estimator_name) const;
 
-  MarkerArray debug_marker_array() const;
+  [[nodiscard]] MarkerArray debug_marker_array() const;
 
 private:
   struct Impl;
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.cpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.cpp
index 4c3829316230b..3a565e7f2e4df 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.cpp
@@ -14,19 +14,23 @@
 
 #include "pose_estimator_arbiter/switch_rule/pcd_map_based_rule.hpp"
 
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
+
+#include <utility>
 
 namespace pose_estimator_arbiter::switch_rule
 {
 PcdMapBasedRule::PcdMapBasedRule(
-  rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
-  const std::shared_ptr<const SharedData> shared_data)
-: BaseSwitchRule(node), running_estimator_list_(running_estimator_list), shared_data_(shared_data)
+  rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
+  std::shared_ptr<const SharedData> shared_data)
+: BaseSwitchRule(node),
+  running_estimator_list_(std::move(running_estimator_list)),
+  shared_data_(std::move(shared_data))
 {
   const int pcd_density_upper_threshold =
-    tier4_autoware_utils::getOrDeclareParameter<int>(node, "pcd_density_upper_threshold");
+    autoware::universe_utils::getOrDeclareParameter<int>(node, "pcd_density_upper_threshold");
   const int pcd_density_lower_threshold =
-    tier4_autoware_utils::getOrDeclareParameter<int>(node, "pcd_density_lower_threshold");
+    autoware::universe_utils::getOrDeclareParameter<int>(node, "pcd_density_lower_threshold");
 
   pcd_occupancy_ = std::make_unique<rule_helper::PcdOccupancy>(
     pcd_density_upper_threshold, pcd_density_lower_threshold);
@@ -63,14 +67,14 @@ std::unordered_map<PoseEstimatorType, bool> PcdMapBasedRule::update()
       {PoseEstimatorType::eagleye, false},
       {PoseEstimatorType::artag, false},
     };
-  } else {
-    debug_string_ = "Enable yabloc: ";
-    return {
-      {PoseEstimatorType::ndt, false},
-      {PoseEstimatorType::yabloc, true},
-      {PoseEstimatorType::eagleye, false},
-      {PoseEstimatorType::artag, false}};
   }
+
+  debug_string_ = "Enable yabloc: ";
+  return {
+    {PoseEstimatorType::ndt, false},
+    {PoseEstimatorType::yabloc, true},
+    {PoseEstimatorType::eagleye, false},
+    {PoseEstimatorType::artag, false}};
 }
 
 }  // namespace pose_estimator_arbiter::switch_rule
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.hpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.hpp
index 23fd0f812f700..ab4d18dcad66a 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.hpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/pcd_map_based_rule.hpp
@@ -31,7 +31,7 @@ class PcdMapBasedRule : public BaseSwitchRule
 {
 public:
   PcdMapBasedRule(
-    rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
+    rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
     const std::shared_ptr<const SharedData> shared_data);
 
   std::unordered_map<PoseEstimatorType, bool> update() override;
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.cpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.cpp
index 675842662acf8..dffb738e87685 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.cpp
@@ -16,12 +16,16 @@
 
 #include <magic_enum.hpp>
 
+#include <utility>
+
 namespace pose_estimator_arbiter::switch_rule
 {
 VectorMapBasedRule::VectorMapBasedRule(
-  rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
-  const std::shared_ptr<const SharedData> shared_data)
-: BaseSwitchRule(node), running_estimator_list_(running_estimator_list), shared_data_(shared_data)
+  rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
+  std::shared_ptr<const SharedData> shared_data)
+: BaseSwitchRule(node),
+  running_estimator_list_(std::move(running_estimator_list)),
+  shared_data_(std::move(shared_data))
 {
   pose_estimator_area_ = std::make_unique<rule_helper::PoseEstimatorArea>(node.get_logger());
 
diff --git a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.hpp b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.hpp
index e3360f9692f86..83723a346054b 100644
--- a/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.hpp
+++ b/localization/pose_estimator_arbiter/example_rule/src/pose_estimator_arbiter/switch_rule/vector_map_based_rule.hpp
@@ -32,8 +32,8 @@ class VectorMapBasedRule : public BaseSwitchRule
 {
 public:
   VectorMapBasedRule(
-    rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
-    const std::shared_ptr<const SharedData> shared_data);
+    rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
+    std::shared_ptr<const SharedData> shared_data);
 
   std::unordered_map<PoseEstimatorType, bool> update() override;
 
diff --git a/localization/pose_estimator_arbiter/example_rule/test/test_pcd_map_based_rule.cpp b/localization/pose_estimator_arbiter/example_rule/test/test_pcd_map_based_rule.cpp
index 5febfa403363e..f53e01dc9c548 100644
--- a/localization/pose_estimator_arbiter/example_rule/test/test_pcd_map_based_rule.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/test/test_pcd_map_based_rule.cpp
@@ -19,10 +19,10 @@
 
 #include <unordered_set>
 
-class MockNode : public ::testing::Test
+class PcdMapBasedRuleMockNode : public ::testing::Test
 {
 protected:
-  virtual void SetUp()
+  void SetUp() override
   {
     rclcpp::init(0, nullptr);
     node = std::make_shared<rclcpp::Node>("test_node");
@@ -46,10 +46,10 @@ class MockNode : public ::testing::Test
   std::shared_ptr<pose_estimator_arbiter::SharedData> shared_data_;
   std::shared_ptr<pose_estimator_arbiter::switch_rule::PcdMapBasedRule> rule_;
 
-  virtual void TearDown() { rclcpp::shutdown(); }
+  void TearDown() override { rclcpp::shutdown(); }
 };
 
-TEST_F(MockNode, pcdMapBasedRule)
+TEST_F(PcdMapBasedRuleMockNode, pcdMapBasedRule)
 {
   // Create dummy pcd and set
   {
diff --git a/localization/pose_estimator_arbiter/example_rule/test/test_rule_helper.cpp b/localization/pose_estimator_arbiter/example_rule/test/test_rule_helper.cpp
index beda4d720b7f6..0001ce674a2e8 100644
--- a/localization/pose_estimator_arbiter/example_rule/test/test_rule_helper.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/test/test_rule_helper.cpp
@@ -28,10 +28,10 @@
 
 #include <unordered_set>
 
-class MockNode : public ::testing::Test
+class RuleHelperMockNode : public ::testing::Test
 {
 protected:
-  virtual void SetUp()
+  void SetUp() override
   {
     rclcpp::init(0, nullptr);
     node = std::make_shared<rclcpp::Node>("test_node");
@@ -39,10 +39,10 @@ class MockNode : public ::testing::Test
 
   std::shared_ptr<rclcpp::Node> node{nullptr};
 
-  virtual void TearDown() { rclcpp::shutdown(); }
+  void TearDown() override { rclcpp::shutdown(); }
 };
 
-TEST_F(MockNode, poseEstimatorArea)
+TEST_F(RuleHelperMockNode, poseEstimatorArea)
 {
   auto create_polygon3d = []() -> lanelet::Polygon3d {
     lanelet::Polygon3d polygon;
@@ -73,7 +73,7 @@ TEST_F(MockNode, poseEstimatorArea)
   EXPECT_FALSE(pose_estimator_area.within(Point().set__x(-5).set__y(-5).set__z(0), "yabloc"));
 }
 
-TEST_F(MockNode, pcdOccupancy)
+TEST_F(RuleHelperMockNode, pcdOccupancy)
 {
   using pose_estimator_arbiter::rule_helper::PcdOccupancy;
   const int pcd_density_upper_threshold = 20;
@@ -89,7 +89,7 @@ TEST_F(MockNode, pcdOccupancy)
   EXPECT_FALSE(pcd_occupancy.ndt_can_operate(point, &message));
 }
 
-TEST_F(MockNode, gridKey)
+TEST_F(RuleHelperMockNode, gridKey)
 {
   using pose_estimator_arbiter::rule_helper::GridKey;
   EXPECT_TRUE(GridKey(10., -5.) == GridKey(10., -10.));
diff --git a/localization/pose_estimator_arbiter/example_rule/test/test_vector_map_based_rule.cpp b/localization/pose_estimator_arbiter/example_rule/test/test_vector_map_based_rule.cpp
index 66d867883272b..a4fd91365f433 100644
--- a/localization/pose_estimator_arbiter/example_rule/test/test_vector_map_based_rule.cpp
+++ b/localization/pose_estimator_arbiter/example_rule/test/test_vector_map_based_rule.cpp
@@ -24,10 +24,10 @@
 
 #include <unordered_set>
 
-class MockNode : public ::testing::Test
+class VectorMapBasedRuleMockNode : public ::testing::Test
 {
 protected:
-  virtual void SetUp()
+  void SetUp() override
   {
     rclcpp::init(0, nullptr);
     node = std::make_shared<rclcpp::Node>("test_node");
@@ -49,10 +49,10 @@ class MockNode : public ::testing::Test
   std::shared_ptr<pose_estimator_arbiter::SharedData> shared_data_;
   std::shared_ptr<pose_estimator_arbiter::switch_rule::VectorMapBasedRule> rule_;
 
-  virtual void TearDown() { rclcpp::shutdown(); }
+  void TearDown() override { rclcpp::shutdown(); }
 };
 
-TEST_F(MockNode, vectorMapBasedRule)
+TEST_F(VectorMapBasedRuleMockNode, vectorMapBasedRule)
 {
   // Create dummy lanelet2 and set
   {
diff --git a/localization/pose_estimator_arbiter/package.xml b/localization/pose_estimator_arbiter/package.xml
index 70896d93d9cb8..4880e048ea392 100644
--- a/localization/pose_estimator_arbiter/package.xml
+++ b/localization/pose_estimator_arbiter/package.xml
@@ -4,7 +4,13 @@
   <name>pose_estimator_arbiter</name>
   <version>0.1.0</version>
   <description>The arbiter of multiple pose estimators</description>
+  <maintainer email="yamato.ando@tier4.jp">Yamato Ando</maintainer>
   <maintainer email="kento.yabuuchi.2@tier4.jp">Kento Yabuuchi</maintainer>
+  <maintainer email="masahiro.sakamoto@tier4.jp">Masahiro Sakamoto</maintainer>
+  <maintainer email="anh.nguyen.2@tier4.jp">NGUYEN Viet Anh</maintainer>
+  <maintainer email="taiki.yamada@tier4.jp">Taiki Yamada</maintainer>
+  <maintainer email="shintaro.sakoda@tier4.jp">Shintaro Sakoda</maintainer>
+  <maintainer email="ryu.yamamoto@tier4.jp">Ryu Yamamoto</maintainer>
   <license>Apache License 2.0</license>
   <author email="kento.yabuuchi.2@tier4.jp">Kento Yabuuchi</author>
 
@@ -13,6 +19,7 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
@@ -24,7 +31,6 @@
   <depend>sensor_msgs</depend>
   <depend>std_msgs</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>ublox_msgs</depend>
   <depend>visualization_msgs</depend>
   <depend>yabloc_particle_filter</depend>
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter.hpp
index fda77ec877482..013b4b38f9ef6 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter.hpp
@@ -19,8 +19,8 @@
 #include "pose_estimator_arbiter/stopper/base_stopper.hpp"
 #include "pose_estimator_arbiter/switch_rule/base_switch_rule.hpp"
 
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_array.hpp>
 #include <geometry_msgs/msg/pose_with_covariance_stamped.hpp>
@@ -53,7 +53,7 @@ class PoseEstimatorArbiter : public rclcpp::Node
   // Set of running pose estimators specified by ros param `pose_sources`
   const std::unordered_set<PoseEstimatorType> running_estimator_list_;
   // Configuration to allow changing the log level by service
-  const std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  const std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   // This is passed to several modules (stoppers & rule) so that all modules can access common data
   // without passing them as arguments. Also, modules can register subscriber callbacks through
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter_core.cpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter_core.cpp
index 67c555227976d..8e25628d6e0fc 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter_core.cpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_arbiter_core.cpp
@@ -46,7 +46,7 @@ PoseEstimatorArbiter::PoseEstimatorArbiter(const rclcpp::NodeOptions & options)
 : rclcpp::Node("pose_estimator_arbiter", options),
   running_estimator_list_(parse_estimator_name_args(
     declare_parameter<std::vector<std::string>>("pose_sources"), get_logger())),
-  logger_configure_(std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this))
+  logger_configure_(std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this))
 {
   // Shared data
   shared_data_ = std::make_shared<SharedData>();
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_type.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_type.hpp
index edf12537198a3..d78bfeb05b4f0 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_type.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/pose_estimator_type.hpp
@@ -18,6 +18,6 @@
 namespace pose_estimator_arbiter
 {
 enum class PoseEstimatorType : int { ndt = 1, yabloc = 2, eagleye = 4, artag = 8 };
-}
+}  // namespace pose_estimator_arbiter
 
 #endif  // POSE_ESTIMATOR_ARBITER__POSE_ESTIMATOR_TYPE_HPP_
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/shared_data.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/shared_data.hpp
index a72dc5585877b..0d3dbfab11cbe 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/shared_data.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/shared_data.hpp
@@ -30,29 +30,29 @@ namespace pose_estimator_arbiter
 template <typename T>
 struct CallbackInvokingVariable
 {
-  CallbackInvokingVariable() {}
+  CallbackInvokingVariable() = default;
 
-  explicit CallbackInvokingVariable(T initial_data) : value(initial_data) {}
+  explicit CallbackInvokingVariable(T initial_data) : value_(initial_data) {}
 
   // Set data and invoke all callbacks
   void set_and_invoke(T new_value)
   {
-    value = new_value;
+    value_ = new_value;
 
     // Call all callbacks with the new value
-    for (const auto & callback : callbacks) {
-      callback(value.value());
+    for (const auto & callback : callbacks_) {
+      callback(value_.value());
     }
   }
 
   // Same as std::optional::has_value()
-  bool has_value() const { return value.has_value(); }
+  bool has_value() const { return value_.has_value(); }
 
   // Same as std::optional::value()
-  const T operator()() const { return value.value(); }
+  T operator()() const { return value_.value(); }
 
   // Register callback function which is invoked when set_and_invoke() is called
-  void register_callback(std::function<void(T)> callback) const { callbacks.push_back(callback); }
+  void register_callback(std::function<void(T)> callback) const { callbacks_.push_back(callback); }
 
   // Create subscription callback function which is used as below:
   //   auto subscriber = create_subscription<T>("topic_name", 10,
@@ -64,10 +64,10 @@ struct CallbackInvokingVariable
 
 private:
   // The latest data
-  std::optional<T> value{std::nullopt};
+  std::optional<T> value_{std::nullopt};
 
   // These functions are expected not to change the value variable
-  mutable std::vector<std::function<void(T)>> callbacks;
+  mutable std::vector<std::function<void(T)>> callbacks_;
 };
 
 // This structure is handed to several modules as shared_ptr so that all modules can access data.
@@ -80,7 +80,7 @@ struct SharedData
   using HADMapBin = autoware_map_msgs::msg::LaneletMapBin;
   using InitializationState = autoware_adapi_v1_msgs::msg::LocalizationInitializationState;
 
-  SharedData() {}
+  SharedData() = default;
 
   // Used for stoppers
   CallbackInvokingVariable<PoseCovStamped::ConstSharedPtr> eagleye_output_pose_cov;
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/base_stopper.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/base_stopper.hpp
index fc2242a0b27e9..d64592a12308e 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/base_stopper.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/base_stopper.hpp
@@ -20,6 +20,7 @@
 #include <rclcpp/rclcpp.hpp>
 
 #include <memory>
+#include <utility>
 
 namespace pose_estimator_arbiter::stopper
 {
@@ -28,11 +29,16 @@ class BaseStopper
 public:
   using SharedPtr = std::shared_ptr<BaseStopper>;
 
-  explicit BaseStopper(rclcpp::Node * node, const std::shared_ptr<const SharedData> shared_data)
-  : logger_(node->get_logger()), shared_data_(shared_data)
+  explicit BaseStopper(rclcpp::Node * node, std::shared_ptr<const SharedData> shared_data)
+  : logger_(node->get_logger()), shared_data_(std::move(shared_data))
   {
   }
 
+  virtual ~BaseStopper() = default;
+  BaseStopper(const BaseStopper & other) = default;
+  BaseStopper(BaseStopper && other) noexcept = default;
+  BaseStopper & operator=(const BaseStopper & other) = default;
+  BaseStopper & operator=(BaseStopper && other) noexcept = default;
   void enable() { set_enable(true); }
   void disable() { set_enable(false); }
 
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_artag.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_artag.hpp
index 72a3f5412add0..f334983f33aad 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_artag.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_artag.hpp
@@ -29,7 +29,7 @@ class StopperArTag : public BaseStopper
   using SetBool = std_srvs::srv::SetBool;
 
 public:
-  explicit StopperArTag(rclcpp::Node * node, const std::shared_ptr<const SharedData> shared_data)
+  explicit StopperArTag(rclcpp::Node * node, const std::shared_ptr<const SharedData> & shared_data)
   : BaseStopper(node, shared_data)
   {
     ar_tag_is_enabled_ = true;
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_eagleye.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_eagleye.hpp
index 12bbe8c9769a1..cc800ad6bdee4 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_eagleye.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_eagleye.hpp
@@ -27,7 +27,8 @@ class StopperEagleye : public BaseStopper
   using PoseCovStamped = geometry_msgs::msg::PoseWithCovarianceStamped;
 
 public:
-  explicit StopperEagleye(rclcpp::Node * node, const std::shared_ptr<const SharedData> shared_data)
+  explicit StopperEagleye(
+    rclcpp::Node * node, const std::shared_ptr<const SharedData> & shared_data)
   : BaseStopper(node, shared_data)
   {
     eagleye_is_enabled_ = true;
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_ndt.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_ndt.hpp
index dacea02f77bde..3b7c083ea31e3 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_ndt.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_ndt.hpp
@@ -27,7 +27,7 @@ class StopperNdt : public BaseStopper
   using PointCloud2 = sensor_msgs::msg::PointCloud2;
 
 public:
-  explicit StopperNdt(rclcpp::Node * node, const std::shared_ptr<const SharedData> shared_data)
+  explicit StopperNdt(rclcpp::Node * node, const std::shared_ptr<const SharedData> & shared_data)
   : BaseStopper(node, shared_data)
   {
     ndt_is_enabled_ = true;
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_yabloc.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_yabloc.hpp
index 2cd8b66f4ffd4..808a5bf9407ca 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_yabloc.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/stopper/stopper_yabloc.hpp
@@ -29,7 +29,7 @@ class StopperYabLoc : public BaseStopper
   using SetBool = std_srvs::srv::SetBool;
 
 public:
-  explicit StopperYabLoc(rclcpp::Node * node, const std::shared_ptr<const SharedData> shared_data)
+  explicit StopperYabLoc(rclcpp::Node * node, const std::shared_ptr<const SharedData> & shared_data)
   : BaseStopper(node, shared_data)
   {
     yabloc_is_enabled_ = true;
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/base_switch_rule.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/base_switch_rule.hpp
index 5770f18efa32c..95d10c2b741a8 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/base_switch_rule.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/base_switch_rule.hpp
@@ -40,12 +40,16 @@ class BaseSwitchRule
   }
 
   virtual ~BaseSwitchRule() = default;
+  BaseSwitchRule(const BaseSwitchRule & other) = default;
+  BaseSwitchRule(BaseSwitchRule && other) noexcept = default;
+  BaseSwitchRule & operator=(const BaseSwitchRule & other) = default;
+  BaseSwitchRule & operator=(BaseSwitchRule && other) noexcept = default;
   virtual std::unordered_map<PoseEstimatorType, bool> update() = 0;
   virtual std::string debug_string() { return std::string{}; }
   virtual MarkerArray debug_marker_array() { return MarkerArray{}; }
 
 protected:
-  rclcpp::Logger get_logger() const { return *logger_ptr_; }
+  [[nodiscard]] rclcpp::Logger get_logger() const { return *logger_ptr_; }
   std::shared_ptr<rclcpp::Logger> logger_ptr_{nullptr};
 };
 
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.cpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.cpp
index 2b2e325c3d94b..aebad094a0eca 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.cpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.cpp
@@ -19,14 +19,15 @@
 #include <memory>
 #include <string>
 #include <unordered_map>
+#include <utility>
 #include <vector>
 
 namespace pose_estimator_arbiter::switch_rule
 {
 EnableAllRule::EnableAllRule(
-  rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
-  const std::shared_ptr<const SharedData>)
-: BaseSwitchRule(node), running_estimator_list_(running_estimator_list)
+  rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
+  const std::shared_ptr<const SharedData> &)
+: BaseSwitchRule(node), running_estimator_list_(std::move(running_estimator_list))
 {
 }
 
diff --git a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.hpp b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.hpp
index 568226985b2ff..63142b0e662e1 100644
--- a/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.hpp
+++ b/localization/pose_estimator_arbiter/src/pose_estimator_arbiter/switch_rule/enable_all_rule.hpp
@@ -29,10 +29,8 @@ class EnableAllRule : public BaseSwitchRule
 {
 public:
   EnableAllRule(
-    rclcpp::Node & node, const std::unordered_set<PoseEstimatorType> & running_estimator_list,
-    const std::shared_ptr<const SharedData> shared_data);
-
-  virtual ~EnableAllRule() = default;
+    rclcpp::Node & node, std::unordered_set<PoseEstimatorType> running_estimator_list,
+    const std::shared_ptr<const SharedData> & shared_data);
 
   std::unordered_map<PoseEstimatorType, bool> update() override;
 
diff --git a/localization/pose_initializer/package.xml b/localization/pose_initializer/package.xml
index 58968828bc2fa..5f3ea72f7d400 100644
--- a/localization/pose_initializer/package.xml
+++ b/localization/pose_initializer/package.xml
@@ -19,15 +19,15 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>component_interface_specs</depend>
   <depend>component_interface_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>map_height_fitter</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_localization_msgs</depend>
 
   <test_depend>ament_cmake_cppcheck</test_depend>
diff --git a/localization/pose_initializer/src/pose_initializer/pose_initializer_core.cpp b/localization/pose_initializer/src/pose_initializer/pose_initializer_core.cpp
index 1111547b393e7..7d75a1fc80f2e 100644
--- a/localization/pose_initializer/src/pose_initializer/pose_initializer_core.cpp
+++ b/localization/pose_initializer/src/pose_initializer/pose_initializer_core.cpp
@@ -56,7 +56,7 @@ PoseInitializer::PoseInitializer(const rclcpp::NodeOptions & options)
     stop_check_duration_ = declare_parameter<double>("stop_check_duration");
     stop_check_ = std::make_unique<StopCheckModule>(this, stop_check_duration_ + 1.0);
   }
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 
   change_state(State::Message::UNINITIALIZED);
 
diff --git a/localization/pose_initializer/src/pose_initializer/pose_initializer_core.hpp b/localization/pose_initializer/src/pose_initializer/pose_initializer_core.hpp
index d80fb26fdd41f..a813ec6459810 100644
--- a/localization/pose_initializer/src/pose_initializer/pose_initializer_core.hpp
+++ b/localization/pose_initializer/src/pose_initializer/pose_initializer_core.hpp
@@ -15,10 +15,10 @@
 #ifndef POSE_INITIALIZER__POSE_INITIALIZER_CORE_HPP_
 #define POSE_INITIALIZER__POSE_INITIALIZER_CORE_HPP_
 
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
 #include <component_interface_specs/localization.hpp>
 #include <component_interface_utils/rclcpp.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
 
 #include <geometry_msgs/msg/pose_with_covariance_stamped.hpp>
 
@@ -55,7 +55,7 @@ class PoseInitializer : public rclcpp::Node
   std::unique_ptr<StopCheckModule> stop_check_;
   std::unique_ptr<EkfLocalizationTriggerModule> ekf_localization_trigger_;
   std::unique_ptr<NdtLocalizationTriggerModule> ndt_localization_trigger_;
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
   double stop_check_duration_;
 
   void change_node_trigger(bool flag, bool need_spin = false);
diff --git a/localization/pose_initializer/src/pose_initializer/stop_check_module.hpp b/localization/pose_initializer/src/pose_initializer/stop_check_module.hpp
index 86c68b4a2dbb4..31f04029bd00e 100644
--- a/localization/pose_initializer/src/pose_initializer/stop_check_module.hpp
+++ b/localization/pose_initializer/src/pose_initializer/stop_check_module.hpp
@@ -15,13 +15,13 @@
 #ifndef POSE_INITIALIZER__STOP_CHECK_MODULE_HPP_
 #define POSE_INITIALIZER__STOP_CHECK_MODULE_HPP_
 
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <geometry_msgs/msg/pose_with_covariance_stamped.hpp>
 #include <geometry_msgs/msg/twist_with_covariance_stamped.hpp>
 
-class StopCheckModule : public motion_utils::VehicleStopCheckerBase
+class StopCheckModule : public autoware::motion_utils::VehicleStopCheckerBase
 {
 public:
   StopCheckModule(rclcpp::Node * node, double buffer_duration);
diff --git a/localization/pose_instability_detector/include/autoware/pose_instability_detector/pose_instability_detector.hpp b/localization/pose_instability_detector/include/autoware/pose_instability_detector/pose_instability_detector.hpp
index 0a55a5005dde1..febff8c2ee244 100644
--- a/localization/pose_instability_detector/include/autoware/pose_instability_detector/pose_instability_detector.hpp
+++ b/localization/pose_instability_detector/include/autoware/pose_instability_detector/pose_instability_detector.hpp
@@ -50,8 +50,8 @@ class PoseInstabilityDetector : public rclcpp::Node
   };
 
   explicit PoseInstabilityDetector(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
-  ThresholdValues calculate_threshold(double interval_sec);
-  void dead_reckon(
+  ThresholdValues calculate_threshold(double interval_sec) const;
+  static void dead_reckon(
     PoseStamped::SharedPtr & initial_pose, const rclcpp::Time & end_time,
     const std::deque<TwistWithCovarianceStamped> & twist_deque, Pose::SharedPtr & estimated_pose);
 
@@ -60,7 +60,7 @@ class PoseInstabilityDetector : public rclcpp::Node
   void callback_twist(TwistWithCovarianceStamped::ConstSharedPtr twist_msg_ptr);
   void callback_timer();
 
-  std::deque<TwistWithCovarianceStamped> clip_out_necessary_twist(
+  static std::deque<TwistWithCovarianceStamped> clip_out_necessary_twist(
     const std::deque<TwistWithCovarianceStamped> & twist_buffer, const rclcpp::Time & start_time,
     const rclcpp::Time & end_time);
 
@@ -76,8 +76,6 @@ class PoseInstabilityDetector : public rclcpp::Node
   // parameters
   const double timer_period_;  // [sec]
 
-  ThresholdValues threshold_values_;
-
   const double heading_velocity_maximum_;                 // [m/s]
   const double heading_velocity_scale_factor_tolerance_;  // [%]
 
diff --git a/localization/pose_instability_detector/package.xml b/localization/pose_instability_detector/package.xml
index d658d1c2d437f..04e9747d3723b 100644
--- a/localization/pose_instability_detector/package.xml
+++ b/localization/pose_instability_detector/package.xml
@@ -18,6 +18,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>ament_index_cpp</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>nav_msgs</depend>
@@ -25,7 +26,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_cppcheck</test_depend>
diff --git a/localization/pose_instability_detector/src/pose_instability_detector.cpp b/localization/pose_instability_detector/src/pose_instability_detector.cpp
index fa7b2ecf16562..28398588809eb 100644
--- a/localization/pose_instability_detector/src/pose_instability_detector.cpp
+++ b/localization/pose_instability_detector/src/pose_instability_detector.cpp
@@ -14,7 +14,7 @@
 
 #include "autoware/pose_instability_detector/pose_instability_detector.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 
@@ -118,21 +118,21 @@ void PoseInstabilityDetector::callback_timer()
   prev_pose->header = prev_odometry_->header;
   prev_pose->pose = prev_odometry_->pose.pose;
 
-  Pose::SharedPtr DR_pose = std::make_shared<Pose>();
-  dead_reckon(prev_pose, latest_odometry_time, twist_buffer_, DR_pose);
+  Pose::SharedPtr dr_pose = std::make_shared<Pose>();
+  dead_reckon(prev_pose, latest_odometry_time, twist_buffer_, dr_pose);
 
   // compare dead reckoning pose and latest_odometry_
   const Pose latest_ekf_pose = latest_odometry_->pose.pose;
-  const Pose ekf_to_DR = tier4_autoware_utils::inverseTransformPose(*DR_pose, latest_ekf_pose);
-  const geometry_msgs::msg::Point pos = ekf_to_DR.position;
-  const auto [ang_x, ang_y, ang_z] = quat_to_rpy(ekf_to_DR.orientation);
+  const Pose ekf_to_dr = autoware::universe_utils::inverseTransformPose(*dr_pose, latest_ekf_pose);
+  const geometry_msgs::msg::Point pos = ekf_to_dr.position;
+  const auto [ang_x, ang_y, ang_z] = quat_to_rpy(ekf_to_dr.orientation);
   const std::vector<double> values = {pos.x, pos.y, pos.z, ang_x, ang_y, ang_z};
 
   // publish diff_pose for debug
   PoseStamped diff_pose;
   diff_pose.header.stamp = latest_odometry_time;
   diff_pose.header.frame_id = "base_link";
-  diff_pose.pose = ekf_to_DR;
+  diff_pose.pose = ekf_to_dr;
   diff_pose_pub_->publish(diff_pose);
 
   // publish diagnostics
@@ -178,7 +178,7 @@ void PoseInstabilityDetector::callback_timer()
 }
 
 PoseInstabilityDetector::ThresholdValues PoseInstabilityDetector::calculate_threshold(
-  double interval_sec)
+  double interval_sec) const
 {
   // Calculate maximum longitudinal difference
   const double longitudinal_difference =
@@ -229,7 +229,7 @@ PoseInstabilityDetector::ThresholdValues PoseInstabilityDetector::calculate_thre
   const double yaw_difference = roll_difference;
 
   // Set thresholds
-  ThresholdValues result_values;
+  ThresholdValues result_values{};
   result_values.position_x = longitudinal_difference + pose_estimator_longitudinal_tolerance_;
   result_values.position_y = lateral_difference + pose_estimator_lateral_tolerance_;
   result_values.position_z = vertical_difference + pose_estimator_vertical_tolerance_;
diff --git a/localization/tree_structured_parzen_estimator/CMakeLists.txt b/localization/tree_structured_parzen_estimator/CMakeLists.txt
deleted file mode 100644
index 7b687a12a003c..0000000000000
--- a/localization/tree_structured_parzen_estimator/CMakeLists.txt
+++ /dev/null
@@ -1,23 +0,0 @@
-cmake_minimum_required(VERSION 3.14)
-project(tree_structured_parzen_estimator)
-
-find_package(autoware_cmake REQUIRED)
-autoware_package()
-
-ament_auto_add_library(tree_structured_parzen_estimator SHARED
-  src/tree_structured_parzen_estimator.cpp
-)
-
-if(BUILD_TESTING)
-  find_package(ament_cmake_gtest REQUIRED)
-  ament_add_gtest(test_tpe
-    test/test_tpe.cpp
-    src/tree_structured_parzen_estimator.cpp
-  )
-  target_include_directories(test_tpe PRIVATE include)
-  target_link_libraries(test_tpe)
-endif()
-
-ament_auto_package(
-  INSTALL_TO_SHARE
-)
diff --git a/localization/tree_structured_parzen_estimator/README.md b/localization/tree_structured_parzen_estimator/README.md
deleted file mode 100644
index 2b21e65929485..0000000000000
--- a/localization/tree_structured_parzen_estimator/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# tree_structured_parzen_estimator
-
-`tree_structured_parzen_estimator`` is a package for black-box optimization.
-
-This package does not have a node, it is just a library.
diff --git a/localization/tree_structured_parzen_estimator/package.xml b/localization/tree_structured_parzen_estimator/package.xml
deleted file mode 100644
index 96d2b9ecf54cc..0000000000000
--- a/localization/tree_structured_parzen_estimator/package.xml
+++ /dev/null
@@ -1,26 +0,0 @@
-<?xml version="1.0"?>
-<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
-<package format="3">
-  <name>tree_structured_parzen_estimator</name>
-  <version>0.1.0</version>
-  <description>The tree_structured_parzen_estimator package</description>
-  <maintainer email="yamato.ando@tier4.jp">Yamato Ando</maintainer>
-  <maintainer email="masahiro.sakamoto@tier4.jp">Masahiro Sakamoto</maintainer>
-  <maintainer email="shintaro.sakoda@tier4.jp">Shintaro Sakoda</maintainer>
-  <maintainer email="kento.yabuuchi.2@tier4.jp">Kento Yabuuchi</maintainer>
-  <maintainer email="anh.nguyen.2@tier4.jp">NGUYEN Viet Anh</maintainer>
-  <maintainer email="taiki.yamada@tier4.jp">Taiki Yamada</maintainer>
-  <maintainer email="ryu.yamamoto@tier4.jp">Ryu Yamamoto</maintainer>
-  <license>Apache License 2.0</license>
-  <author email="shintaro.sakoda@tier4.jp">Shintaro Sakoda</author>
-
-  <buildtool_depend>ament_cmake_auto</buildtool_depend>
-  <buildtool_depend>autoware_cmake</buildtool_depend>
-
-  <test_depend>ament_cmake_cppcheck</test_depend>
-  <test_depend>ament_lint_auto</test_depend>
-
-  <export>
-    <build_type>ament_cmake</build_type>
-  </export>
-</package>
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/camera_info_subscriber.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/camera_info_subscriber.hpp
index f26a63ebd6317..e8bcdf98025cc 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/camera_info_subscriber.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/camera_info_subscriber.hpp
@@ -31,17 +31,17 @@ class CameraInfoSubscriber
 
   explicit CameraInfoSubscriber(rclcpp::Node * node);
 
-  bool is_camera_info_ready() const;
+  [[nodiscard]] bool is_camera_info_ready() const;
 
-  bool is_camera_info_nullopt() const;
+  [[nodiscard]] bool is_camera_info_nullopt() const;
 
-  Eigen::Vector2i size() const;
+  [[nodiscard]] Eigen::Vector2i size() const;
 
-  Eigen::Matrix3f intrinsic() const;
+  [[nodiscard]] Eigen::Matrix3f intrinsic() const;
 
   // This member function DOES NOT check isCameraInfoReady()
   // If it it not ready, throw bad optional access
-  std::string get_frame_id() const;
+  [[nodiscard]] std::string get_frame_id() const;
 
 private:
   rclcpp::Subscription<CameraInfo>::SharedPtr sub_info_;
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/color.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/color.hpp
index 219c50f387cb5..447c101fd520a 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/color.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/color.hpp
@@ -31,25 +31,28 @@ struct Color
   }
 
   explicit Color(const cv::Scalar & rgb, float a = 1.0f)
-  : r(rgb[2] / 255.f), g(rgb[1] / 255.f), b(rgb[0] / 255.f), a(a)
+  : r(static_cast<float>(rgb[2]) / 255.f),
+    g(static_cast<float>(rgb[1]) / 255.f),
+    b(static_cast<float>(rgb[0]) / 255.f),
+    a(a)
   {
   }
 
-  operator uint32_t() const
+  explicit operator uint32_t() const
   {
     union uchar4_uint32 {
       uint8_t rgba[4];
       uint32_t u32;
     };
-    uchar4_uint32 tmp;
+    uchar4_uint32 tmp{};
     tmp.rgba[0] = static_cast<uint8_t>(r * 255);
     tmp.rgba[1] = static_cast<uint8_t>(g * 255);
     tmp.rgba[2] = static_cast<uint8_t>(b * 255);
     tmp.rgba[3] = static_cast<uint8_t>(a * 255);
     return tmp.u32;
   }
-  operator const cv::Scalar() const { return cv::Scalar(255 * b, 255 * g, 255 * r); }
-  operator const std_msgs::msg::ColorRGBA() const
+  explicit operator cv::Scalar() const { return {255 * b, 255 * g, 255 * r}; }
+  explicit operator std_msgs::msg::ColorRGBA() const
   {
     std_msgs::msg::ColorRGBA rgba;
     rgba.a = a;
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/gamma_converter.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/gamma_converter.hpp
index 98c082e125547..9802c0abe4acd 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/gamma_converter.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/gamma_converter.hpp
@@ -27,7 +27,8 @@ class GammaConverter
   {
     lut_ = cv::Mat(1, 256, CV_8UC1);
     for (int i = 0; i < 256; i++) {
-      lut_.at<uchar>(0, i) = 256 * std::pow(i / 256.f, gamma);
+      lut_.at<uchar>(0, i) =
+        static_cast<unsigned char>(256 * std::pow(static_cast<float>(i) / 256.f, gamma));
     }
   }
 
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/ground_plane.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/ground_plane.hpp
index 62a3695a9852f..61798ae6a4f04 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/ground_plane.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/ground_plane.hpp
@@ -46,39 +46,39 @@ struct GroundPlane
     }
   }
 
-  float height() const { return xyz.z(); }
+  [[nodiscard]] float height() const { return xyz.z(); }
 
-  Eigen::Quaternionf align_with_slope(const Eigen::Quaternionf & q) const
+  [[nodiscard]] Eigen::Quaternionf align_with_slope(const Eigen::Quaternionf & q) const
   {
     return Eigen::Quaternionf{align_with_slope(q.toRotationMatrix())};
   }
 
-  Eigen::Matrix3f align_with_slope(const Eigen::Matrix3f & R) const
+  [[nodiscard]] Eigen::Matrix3f align_with_slope(const Eigen::Matrix3f & R) const
   {
-    Eigen::Matrix3f R_;
+    Eigen::Matrix3f r;
     Eigen::Vector3f rz = this->normal;
     Eigen::Vector3f azimuth = R * Eigen::Vector3f::UnitX();
     Eigen::Vector3f ry = (rz.cross(azimuth)).normalized();
     Eigen::Vector3f rx = ry.cross(rz);
-    R_.col(0) = rx;
-    R_.col(1) = ry;
-    R_.col(2) = rz;
-    return R_;
+    r.col(0) = rx;
+    r.col(1) = ry;
+    r.col(2) = rz;
+    return r;
   }
 
-  Sophus::SE3f align_with_slope(const Sophus::SE3f & pose) const
+  [[nodiscard]] Sophus::SE3f align_with_slope(const Sophus::SE3f & pose) const
   {
     return {align_with_slope(pose.rotationMatrix()), pose.translation()};
   }
 
-  Eigen::Affine3f align_with_slope(const Eigen::Affine3f & pose) const
+  [[nodiscard]] Eigen::Affine3f align_with_slope(const Eigen::Affine3f & pose) const
   {
-    Eigen::Matrix3f R = pose.rotation();
+    Eigen::Matrix3f r = pose.rotation();
     Eigen::Vector3f t = pose.translation();
-    return Eigen::Translation3f(t) * align_with_slope(R);
+    return Eigen::Translation3f(t) * align_with_slope(r);
   }
 
-  Float32Array msg() const
+  [[nodiscard]] Float32Array msg() const
   {
     Float32Array array;
     for (int i = 0; i < 3; i++) array.data.push_back(xyz(i));
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/filter/moving_averaging.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/filter/moving_averaging.hpp
index 5b62c8fb79c33..aa90e52920ea5 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/filter/moving_averaging.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/filter/moving_averaging.hpp
@@ -32,7 +32,7 @@ class MovingAveraging
 
     Eigen::Vector3f mean = Eigen::Vector3f::Zero();
     for (const Eigen::Vector3f & v : buffer_) mean += v;
-    mean /= buffer_.size();
+    mean /= static_cast<float>(buffer_.size());
 
     return mean.normalized();
   }
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/ground_server.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/ground_server.hpp
index 92e5d939d0b7e..e8f7e6e081e43 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/ground_server.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/ground_server.hpp
@@ -61,8 +61,8 @@ class GroundServer : public rclcpp::Node
 
 private:
   const bool force_zero_tilt_;
-  const float R;
-  const int K;
+  const float R_;
+  const int K_;
 
   // Subscriber
   rclcpp::Subscription<LaneletMapBin>::SharedPtr sub_map_;
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/util.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/util.hpp
index fe3285fb08e8a..8d9dc06447d62 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/util.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/ground_server/util.hpp
@@ -26,12 +26,14 @@
 
 namespace yabloc::ground_server
 {
-void upsample_line_string(
+void inline upsample_line_string(
   const lanelet::ConstPoint3d & from, const lanelet::ConstPoint3d & to,
   pcl::PointCloud<pcl::PointXYZ>::Ptr cloud)
 {
-  Eigen::Vector3f f(from.x(), from.y(), from.z());
-  Eigen::Vector3f t(to.x(), to.y(), to.z());
+  Eigen::Vector3f f(
+    static_cast<float>(from.x()), static_cast<float>(from.y()), static_cast<float>(from.z()));
+  Eigen::Vector3f t(
+    static_cast<float>(to.x()), static_cast<float>(to.y()), static_cast<float>(to.z()));
   float length = (t - f).norm();
   Eigen::Vector3f d = (t - f).normalized();
   for (float l = 0; l < length; l += 0.5f) {
@@ -41,7 +43,8 @@ void upsample_line_string(
   }
 };
 
-std::vector<int> merge_indices(const std::vector<int> & indices1, const std::vector<int> & indices2)
+std::vector<int> inline merge_indices(
+  const std::vector<int> & indices1, const std::vector<int> & indices2)
 {
   std::unordered_set<int> set;
   for (int i : indices1) set.insert(i);
diff --git a/localization/yabloc/yabloc_common/include/yabloc_common/ll2_decomposer/ll2_decomposer.hpp b/localization/yabloc/yabloc_common/include/yabloc_common/ll2_decomposer/ll2_decomposer.hpp
index b044ae985c6c0..6956a7a7b04bb 100644
--- a/localization/yabloc/yabloc_common/include/yabloc_common/ll2_decomposer/ll2_decomposer.hpp
+++ b/localization/yabloc/yabloc_common/include/yabloc_common/ll2_decomposer/ll2_decomposer.hpp
@@ -54,17 +54,18 @@ class Ll2Decomposer : public rclcpp::Node
 
   void on_map(const LaneletMapBin & msg);
 
-  pcl::PointNormal to_point_normal(
-    const lanelet::ConstPoint3d & from, const lanelet::ConstPoint3d & to) const;
+  static pcl::PointNormal to_point_normal(
+    const lanelet::ConstPoint3d & from, const lanelet::ConstPoint3d & to);
 
-  pcl::PointCloud<pcl::PointNormal> split_line_strings(
+  static pcl::PointCloud<pcl::PointNormal> split_line_strings(
     const lanelet::ConstLineStrings3d & line_strings);
 
   pcl::PointCloud<pcl::PointXYZL> load_bounding_boxes(const lanelet::PolygonLayer & polygons) const;
 
-  lanelet::ConstLineStrings3d extract_specified_line_string(
-    const lanelet::LineStringLayer & line_strings, const std::set<std::string> & visible_labels);
-  lanelet::ConstPolygons3d extract_specified_polygon(
+  static lanelet::ConstLineStrings3d extract_specified_line_string(
+    const lanelet::LineStringLayer & line_string_layer,
+    const std::set<std::string> & visible_labels);
+  static lanelet::ConstPolygons3d extract_specified_polygon(
     const lanelet::PolygonLayer & polygon_layer, const std::set<std::string> & visible_labels);
 
   MarkerArray make_sign_marker_msg(
diff --git a/localization/yabloc/yabloc_common/package.xml b/localization/yabloc/yabloc_common/package.xml
index d4c8b71fa6b66..18038d80fbfca 100644
--- a/localization/yabloc/yabloc_common/package.xml
+++ b/localization/yabloc/yabloc_common/package.xml
@@ -17,6 +17,7 @@
   <buildtool_depend>rosidl_default_generators</buildtool_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>cv_bridge</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_core</depend>
@@ -29,7 +30,6 @@
   <depend>sophus</depend>
   <depend>std_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/localization/yabloc/yabloc_common/src/camera_info_subscriber.cpp b/localization/yabloc/yabloc_common/src/camera_info_subscriber.cpp
index 33a2279767107..222389c32ef31 100644
--- a/localization/yabloc/yabloc_common/src/camera_info_subscriber.cpp
+++ b/localization/yabloc/yabloc_common/src/camera_info_subscriber.cpp
@@ -51,8 +51,8 @@ Eigen::Matrix3f CameraInfoSubscriber::intrinsic() const
   if (!opt_info_.has_value()) {
     throw std::runtime_error("camera_info is not ready but it's accessed");
   }
-  const Eigen::Matrix3d Kd_t = Eigen::Map<const Eigen::Matrix<double, 3, 3>>(opt_info_->k.data());
-  return Kd_t.cast<float>().transpose();
+  const Eigen::Matrix3d kd_t = Eigen::Map<const Eigen::Matrix<double, 3, 3>>(opt_info_->k.data());
+  return kd_t.cast<float>().transpose();
 }
 
 }  // namespace yabloc::common
diff --git a/localization/yabloc/yabloc_common/src/color.cpp b/localization/yabloc/yabloc_common/src/color.cpp
index 485f655bd4151..6889f7238fb93 100644
--- a/localization/yabloc/yabloc_common/src/color.cpp
+++ b/localization/yabloc/yabloc_common/src/color.cpp
@@ -19,7 +19,9 @@ namespace yabloc::common::color_scale
 Color rainbow(float value)
 {
   // clang-format off
-  float r = 1.0f, g = 1.0f, b = 1.0f;
+  float r = 1.0f;
+  float g = 1.0f;
+  float b = 1.0f;
   value = std::clamp(value, 0.0f, 1.0f);
   if (value < 0.25f) {
     r = 0; g = 4 * (value);
@@ -40,18 +42,12 @@ Color hsv_to_rgb(float h_, float s_, float v_)
   const float max = v_;
   const float min = max * (1.0f - s_);
 
-  if (h < 60)
-    return {max, h / 60 * (max - min) + min, min};
-  else if (h < 120)
-    return {(120 - h) / 60 * (max - min) + min, max, min};
-  else if (h < 180)
-    return {min, max, (h - 120) / 60 * (max - min) + min};
-  else if (h < 240)
-    return {min, (240 - h) / 60 * (max - min) + min, max};
-  else if (h < 300)
-    return {(h - 240) / 60 * (max - min) + min, min, max};
-  else
-    return {max, min, (360 - h) / 60 * (max - min) + min};
+  if (h < 60) return {max, h / 60 * (max - min) + min, min};
+  if (h < 120) return {(120 - h) / 60 * (max - min) + min, max, min};
+  if (h < 180) return {min, max, (h - 120) / 60 * (max - min) + min};
+  if (h < 240) return {min, (240 - h) / 60 * (max - min) + min, max};
+  if (h < 300) return {(h - 240) / 60 * (max - min) + min, min, max};
+  return {max, min, (360 - h) / 60 * (max - min) + min};
 }
 
 Color blue_red(float value)
diff --git a/localization/yabloc/yabloc_common/src/cv_decompress.cpp b/localization/yabloc/yabloc_common/src/cv_decompress.cpp
index dc232488e147c..bf26908c9f0b0 100644
--- a/localization/yabloc/yabloc_common/src/cv_decompress.cpp
+++ b/localization/yabloc/yabloc_common/src/cv_decompress.cpp
@@ -28,16 +28,16 @@ cv::Mat decompress_image(const sensor_msgs::msg::CompressedImage & compressed_im
   cv::Mat raw_image;
 
   const std::string & format = compressed_img.format;
-  const std::string encoding = format.substr(0, format.find(";"));
+  const std::string encoding = format.substr(0, format.find(';'));
 
-  constexpr int DECODE_GRAY = 0;
-  constexpr int DECODE_RGB = 1;
+  constexpr int decode_gray = 0;
+  constexpr int decode_rgb = 1;
 
   bool encoding_is_bayer = encoding.find("bayer") != std::string::npos;
   if (!encoding_is_bayer) {
-    return cv::imdecode(cv::Mat(compressed_img.data), DECODE_RGB);
+    return cv::imdecode(cv::Mat(compressed_img.data), decode_rgb);
   }
-  raw_image = cv::imdecode(cv::Mat(compressed_img.data), DECODE_GRAY);
+  raw_image = cv::imdecode(cv::Mat(compressed_img.data), decode_gray);
 
   // TODO(KYabuuchi) integrate with implementation in the sensing/perception component
   if (encoding == "bayer_rggb8") {
diff --git a/localization/yabloc/yabloc_common/src/extract_line_segments.cpp b/localization/yabloc/yabloc_common/src/extract_line_segments.cpp
index 9940dca1fd62b..f440c5da683a3 100644
--- a/localization/yabloc/yabloc_common/src/extract_line_segments.cpp
+++ b/localization/yabloc/yabloc_common/src/extract_line_segments.cpp
@@ -20,8 +20,8 @@ pcl::PointCloud<pcl::PointNormal> extract_near_line_segments(
   const pcl::PointCloud<pcl::PointNormal> & line_segments, const Sophus::SE3f & transform,
   const float max_range)
 {
-  constexpr double sqrt_two = 1.41421356237309504880;
-  const Eigen::Vector3f pose_vector = transform.translation();
+  const double sqrt_two = 1.41421356237309504880;
+  const Eigen::Vector3f & pose_vector = transform.translation();
 
   // All line segments contained in a square with max_range on one side must be taken out,
   // so pick up those that are closer than the **diagonals** of the square.
@@ -42,11 +42,9 @@ pcl::PointCloud<pcl::PointNormal> extract_near_line_segments(
   };
 
   pcl::PointCloud<pcl::PointNormal> dst;
-  for (const pcl::PointNormal & pn : line_segments) {
-    if (check_intersection(pn)) {
-      dst.push_back(pn);
-    }
-  }
+  std::copy_if(
+    line_segments.begin(), line_segments.end(), std::back_inserter(dst),
+    [check_intersection](const auto & pn) { return check_intersection(pn); });
   return dst;
 }
 
diff --git a/localization/yabloc/yabloc_common/src/ground_server/ground_server_core.cpp b/localization/yabloc/yabloc_common/src/ground_server/ground_server_core.cpp
index d2d1929991442..1366ecaebccf1 100644
--- a/localization/yabloc/yabloc_common/src/ground_server/ground_server_core.cpp
+++ b/localization/yabloc/yabloc_common/src/ground_server/ground_server_core.cpp
@@ -28,13 +28,15 @@
 #include <pcl/sample_consensus/model_types.h>
 #include <pcl/segmentation/sac_segmentation.h>
 
+#include <cmath>
+
 namespace yabloc::ground_server
 {
 GroundServer::GroundServer(const rclcpp::NodeOptions & options)
 : Node("ground_server", options),
   force_zero_tilt_(declare_parameter<bool>("force_zero_tilt")),
-  R(declare_parameter<int>("R")),
-  K(declare_parameter<int>("K"))
+  R_(static_cast<float>(declare_parameter<int>("R"))),
+  K_(static_cast<int>(declare_parameter<int>("K")))
 {
   using std::placeholders::_1;
   using std::placeholders::_2;
@@ -147,8 +149,8 @@ float GroundServer::estimate_height_simply(const geometry_msgs::msg::Point & poi
 {
   // NOTE: Sometimes it might give not-accurate height
   constexpr float sq_radius = 3.0 * 3.0;
-  const float x = point.x;
-  const float y = point.y;
+  const auto x = static_cast<float>(point.x);
+  const auto y = static_cast<float>(point.y);
 
   float height = std::numeric_limits<float>::infinity();
   for (const auto & p : cloud_->points) {
@@ -186,12 +188,12 @@ std::vector<int> GroundServer::estimate_inliers_by_ransac(const std::vector<int>
 GroundServer::GroundPlane GroundServer::estimate_ground(const Point & point)
 {
   // Because height_filter_ is always initialized, getValue does not return nullopt
-  const float predicted_z = height_filter_.getValue().value();
-  const pcl::PointXYZ xyz(point.x, point.y, predicted_z);
+  const float predicted_z = static_cast<float>(height_filter_.getValue().value());
+  const pcl::PointXYZ xyz(static_cast<float>(point.x), static_cast<float>(point.y), predicted_z);
 
   std::vector<int> raw_indices;
   std::vector<float> distances;
-  kdtree_->nearestKSearch(xyz, K, raw_indices, distances);
+  kdtree_->nearestKSearch(xyz, K_, raw_indices, distances);
 
   std::vector<int> indices = estimate_inliers_by_ransac(raw_indices);
 
@@ -206,7 +208,7 @@ GroundServer::GroundPlane GroundServer::estimate_ground(const Point & point)
 
   // NOTE: I forgot why I don't use coefficients computed by SACSegmentation
   Eigen::Vector4f plane_parameter;
-  float curvature;
+  float curvature = NAN;
   pcl::solvePlaneParameters(covariance, centroid, plane_parameter, curvature);
   Eigen::Vector3f normal = plane_parameter.topRows(3).normalized();
 
@@ -229,15 +231,16 @@ GroundServer::GroundPlane GroundServer::estimate_ground(const Point & point)
   const Eigen::Vector3f filt_normal = normal_filter_.update(normal);
 
   GroundPlane plane;
-  plane.xyz = Eigen::Vector3f(point.x, point.y, predicted_z);
+  plane.xyz =
+    Eigen::Vector3f(static_cast<float>(point.x), static_cast<float>(point.y), predicted_z);
   plane.normal = filt_normal;
 
   // Compute z value by intersection of estimated plane and orthogonal line
   {
     Eigen::Vector3f center = centroid.topRows(3);
     float inner = center.dot(plane.normal);
-    float px_nx = point.x * plane.normal.x();
-    float py_ny = point.y * plane.normal.y();
+    float px_nx = static_cast<float>(point.x) * plane.normal.x();
+    float py_ny = static_cast<float>(point.y) * plane.normal.y();
     plane.xyz.z() = (inner - px_nx - py_ny) / plane.normal.z();
   }
 
diff --git a/localization/yabloc/yabloc_common/src/ground_server/polygon_operation.cpp b/localization/yabloc/yabloc_common/src/ground_server/polygon_operation.cpp
index d4b134cf3a203..5ce6804c7bdc6 100644
--- a/localization/yabloc/yabloc_common/src/ground_server/polygon_operation.cpp
+++ b/localization/yabloc/yabloc_common/src/ground_server/polygon_operation.cpp
@@ -31,9 +31,9 @@ pcl::PointCloud<pcl::PointXYZ> sample_from_polygons(const lanelet::PolygonLayer
   for (const lanelet::ConstPolygon3d & polygon : polygons) {
     for (const lanelet::ConstPoint3d & p : polygon) {
       pcl::PointXYZ xyz;
-      xyz.x = p.x();
-      xyz.y = p.y();
-      xyz.z = p.z();
+      xyz.x = static_cast<float>(p.x());
+      xyz.y = static_cast<float>(p.y());
+      xyz.z = static_cast<float>(p.z());
       raw_cloud.push_back(xyz);
     }
   }
@@ -45,9 +45,9 @@ void push_back_line(
 {
   Eigen::Vector3f f = from.getVector3fMap();
   Eigen::Vector3f t = to.getVector3fMap();
-  const float L = (f - t).norm();
+  const float vec_len = (f - t).norm();
 
-  for (float l = 0.f; l < L; l += 0.25f) {
+  for (float l = 0.f; l < vec_len; l += 0.25f) {
     Eigen::Vector3f xyz = f + (t - f) * l;
     dst_cloud.emplace_back(xyz.x(), xyz.y(), xyz.z());
   }
@@ -56,19 +56,20 @@ void push_back_line(
 void push_back_contour(
   pcl::PointCloud<pcl::PointXYZ> & dst_cloud, const pcl::PointCloud<pcl::PointXYZ> & vertices)
 {
-  const int N = vertices.size();
-  for (int i = 0; i < N - 1; ++i) {
+  const int n = static_cast<int>(vertices.size());
+  for (int i = 0; i < n - 1; ++i) {
     push_back_line(dst_cloud, vertices.at(i), vertices.at(i + 1));
   }
-  push_back_line(dst_cloud, vertices.at(0), vertices.at(N - 1));
+  push_back_line(dst_cloud, vertices.at(0), vertices.at(n - 1));
 }
 
 pcl::PointCloud<pcl::PointXYZ> shrink_vertices(
   const pcl::PointCloud<pcl::PointXYZ> & vertices, float rate)
 {
-  Eigen::Vector3f center = Eigen::Vector3f::Zero();
-  for (const pcl::PointXYZ p : vertices) center += p.getVector3fMap();
-  center /= vertices.size();
+  Eigen::Vector3f center = std::accumulate(
+    vertices.begin(), vertices.end(), Eigen::Vector3f::Zero().eval(),
+    [](const Eigen::Vector3f & acc, const pcl::PointXYZ & p) { return acc + p.getVector3fMap(); });
+  center /= static_cast<float>(vertices.size());
 
   pcl::PointCloud<pcl::PointXYZ> dst_cloud;
   for (const pcl::PointXYZ p : vertices) {
diff --git a/localization/yabloc/yabloc_common/src/ll2_decomposer/ll2_decomposer_core.cpp b/localization/yabloc/yabloc_common/src/ll2_decomposer/ll2_decomposer_core.cpp
index 1126d6260b911..3ea23ded92efa 100644
--- a/localization/yabloc/yabloc_common/src/ll2_decomposer/ll2_decomposer_core.cpp
+++ b/localization/yabloc/yabloc_common/src/ll2_decomposer/ll2_decomposer_core.cpp
@@ -14,8 +14,8 @@
 
 #include "yabloc_common/ll2_decomposer/ll2_decomposer.hpp"
 
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 #include <yabloc_common/pub_sub.hpp>
 
 #include <geometry_msgs/msg/polygon.hpp>
@@ -44,7 +44,7 @@ Ll2Decomposer::Ll2Decomposer(const rclcpp::NodeOptions & options) : Node("ll2_to
     [this](const std::string & param_name, std::set<std::string> & labels) -> void {
     this->template declare_parameter<std::vector<std::string>>(param_name);
     auto label_array = get_parameter(param_name).as_string_array();
-    for (auto l : label_array) labels.insert(l);
+    for (const auto & l : label_array) labels.insert(l);
   };
 
   load_lanelet2_labels("road_marking_labels", road_marking_labels_);
@@ -86,14 +86,14 @@ pcl::PointCloud<pcl::PointXYZL> Ll2Decomposer::load_bounding_boxes(
 
   for (const lanelet::ConstPolygon3d & polygon : polygons) {
     if (!polygon.hasAttribute(lanelet::AttributeName::Type)) continue;
-    lanelet::Attribute attr = polygon.attribute(lanelet::AttributeName::Type);
+    const lanelet::Attribute & attr = polygon.attribute(lanelet::AttributeName::Type);
     if (bounding_box_labels_.count(attr.value()) == 0) continue;
 
     for (const lanelet::ConstPoint3d & p : polygon) {
       pcl::PointXYZL xyzl;
-      xyzl.x = p.x();
-      xyzl.y = p.y();
-      xyzl.z = p.z();
+      xyzl.x = static_cast<float>(p.x());
+      xyzl.y = static_cast<float>(p.y());
+      xyzl.z = static_cast<float>(p.z());
       xyzl.label = index;
       cloud.push_back(xyzl);
     }
@@ -151,7 +151,7 @@ lanelet::ConstLineStrings3d Ll2Decomposer::extract_specified_line_string(
   lanelet::ConstLineStrings3d line_strings;
   for (const lanelet::ConstLineString3d & line : line_string_layer) {
     if (!line.hasAttribute(lanelet::AttributeName::Type)) continue;
-    lanelet::Attribute attr = line.attribute(lanelet::AttributeName::Type);
+    const lanelet::Attribute & attr = line.attribute(lanelet::AttributeName::Type);
     if (visible_labels.count(attr.value()) == 0) continue;
     line_strings.push_back(line);
   }
@@ -164,7 +164,7 @@ lanelet::ConstPolygons3d Ll2Decomposer::extract_specified_polygon(
   lanelet::ConstPolygons3d polygons;
   for (const lanelet::ConstPolygon3d & polygon : polygon_layer) {
     if (!polygon.hasAttribute(lanelet::AttributeName::Type)) continue;
-    lanelet::Attribute attr = polygon.attribute(lanelet::AttributeName::Type);
+    const lanelet::Attribute & attr = polygon.attribute(lanelet::AttributeName::Type);
     if (visible_labels.count(attr.value()) == 0) continue;
     polygons.push_back(polygon);
   }
@@ -172,15 +172,15 @@ lanelet::ConstPolygons3d Ll2Decomposer::extract_specified_polygon(
 }
 
 pcl::PointNormal Ll2Decomposer::to_point_normal(
-  const lanelet::ConstPoint3d & from, const lanelet::ConstPoint3d & to) const
+  const lanelet::ConstPoint3d & from, const lanelet::ConstPoint3d & to)
 {
   pcl::PointNormal pn;
-  pn.x = from.x();
-  pn.y = from.y();
-  pn.z = from.z();
-  pn.normal_x = to.x();
-  pn.normal_y = to.y();
-  pn.normal_z = to.z();
+  pn.x = static_cast<float>(from.x());
+  pn.y = static_cast<float>(from.y());
+  pn.z = static_cast<float>(from.z());
+  pn.normal_x = static_cast<float>(to.x());
+  pn.normal_y = static_cast<float>(to.y());
+  pn.normal_z = static_cast<float>(to.z());
   return pn;
 }
 
@@ -198,7 +198,7 @@ Ll2Decomposer::MarkerArray Ll2Decomposer::make_sign_marker_msg(
     marker.header.frame_id = "map";
     marker.header.stamp = get_clock()->now();
     marker.type = Marker::LINE_STRIP;
-    marker.color = tier4_autoware_utils::createMarkerColor(0.6f, 0.6f, 0.6f, 0.999f);
+    marker.color = autoware::universe_utils::createMarkerColor(0.6f, 0.6f, 0.6f, 0.999f);
     marker.scale.x = 0.1;
     marker.ns = ns;
     marker.id = id++;
@@ -228,7 +228,7 @@ Ll2Decomposer::MarkerArray Ll2Decomposer::make_polygon_marker_msg(
     marker.header.frame_id = "map";
     marker.header.stamp = get_clock()->now();
     marker.type = Marker::LINE_STRIP;
-    marker.color = tier4_autoware_utils::createMarkerColor(0.4f, 0.4f, 0.8f, 0.999f);
+    marker.color = autoware::universe_utils::createMarkerColor(0.4f, 0.4f, 0.8f, 0.999f);
     marker.scale.x = 0.2;
     marker.ns = ns;
     marker.id = id++;
diff --git a/localization/yabloc/yabloc_common/src/pose_conversions.cpp b/localization/yabloc/yabloc_common/src/pose_conversions.cpp
index 6ad914eeaf916..374871bc96f0c 100644
--- a/localization/yabloc/yabloc_common/src/pose_conversions.cpp
+++ b/localization/yabloc/yabloc_common/src/pose_conversions.cpp
@@ -37,8 +37,11 @@ Eigen::Affine3f pose_to_affine(const geometry_msgs::msg::Pose & pose)
 {
   const auto pos = pose.position;
   const auto ori = pose.orientation;
-  Eigen::Translation3f t(pos.x, pos.y, pos.z);
-  Eigen::Quaternionf q(ori.w, ori.x, ori.y, ori.z);
+  Eigen::Translation3f t(
+    static_cast<float>(pos.x), static_cast<float>(pos.y), static_cast<float>(pos.z));
+  Eigen::Quaternionf q(
+    static_cast<float>(ori.w), static_cast<float>(ori.x), static_cast<float>(ori.y),
+    static_cast<float>(ori.z));
   return t * q;
 }
 
@@ -46,8 +49,11 @@ Sophus::SE3f pose_to_se3(const geometry_msgs::msg::Pose & pose)
 {
   auto ori = pose.orientation;
   auto pos = pose.position;
-  Eigen::Quaternionf q(ori.w, ori.x, ori.y, ori.z);
-  Eigen::Vector3f t(pos.x, pos.y, pos.z);
+  Eigen::Quaternionf q(
+    static_cast<float>(ori.w), static_cast<float>(ori.x), static_cast<float>(ori.y),
+    static_cast<float>(ori.z));
+  Eigen::Vector3f t(
+    static_cast<float>(pos.x), static_cast<float>(pos.y), static_cast<float>(pos.z));
   return {q, t};
 }
 
diff --git a/localization/yabloc/yabloc_common/src/static_tf_subscriber.cpp b/localization/yabloc/yabloc_common/src/static_tf_subscriber.cpp
index baf93ad295e9c..3aeaefad12629 100644
--- a/localization/yabloc/yabloc_common/src/static_tf_subscriber.cpp
+++ b/localization/yabloc/yabloc_common/src/static_tf_subscriber.cpp
@@ -35,26 +35,26 @@ std::optional<Sophus::SE3f> StaticTfSubscriber::se3f(
 std::optional<Eigen::Affine3f> StaticTfSubscriber::operator()(
   const std::string & frame_id, const std::string & parent_frame_id)
 {
-  std::optional<Eigen::Affine3f> extrinsic_{std::nullopt};
+  std::optional<Eigen::Affine3f> extrinsic{std::nullopt};
   try {
     geometry_msgs::msg::TransformStamped ts =
       tf_buffer_->lookupTransform(parent_frame_id, frame_id, tf2::TimePointZero);
     Eigen::Vector3f p;
-    p.x() = ts.transform.translation.x;
-    p.y() = ts.transform.translation.y;
-    p.z() = ts.transform.translation.z;
+    p.x() = static_cast<float>(ts.transform.translation.x);
+    p.y() = static_cast<float>(ts.transform.translation.y);
+    p.z() = static_cast<float>(ts.transform.translation.z);
 
     Eigen::Quaternionf q;
-    q.w() = ts.transform.rotation.w;
-    q.x() = ts.transform.rotation.x;
-    q.y() = ts.transform.rotation.y;
-    q.z() = ts.transform.rotation.z;
-    extrinsic_ = Eigen::Affine3f::Identity();
-    extrinsic_->translation() = p;
-    extrinsic_->matrix().topLeftCorner(3, 3) = q.toRotationMatrix();
-  } catch (tf2::TransformException & ex) {
+    q.w() = static_cast<float>(ts.transform.rotation.w);
+    q.x() = static_cast<float>(ts.transform.rotation.x);
+    q.y() = static_cast<float>(ts.transform.rotation.y);
+    q.z() = static_cast<float>(ts.transform.rotation.z);
+    extrinsic = Eigen::Affine3f::Identity();
+    extrinsic->translation() = p;
+    extrinsic->matrix().topLeftCorner(3, 3) = q.toRotationMatrix();
+  } catch (const tf2::TransformException & ex) {
   }
-  return extrinsic_;
+  return extrinsic;
 }
 
 }  // namespace yabloc::common
diff --git a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/graph_segment/histogram.hpp b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/graph_segment/histogram.hpp
index c3ac2475f7e08..18b06b08cb55e 100644
--- a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/graph_segment/histogram.hpp
+++ b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/graph_segment/histogram.hpp
@@ -27,7 +27,7 @@ struct Histogram
   EIGEN_MAKE_ALIGNED_OPERATOR_NEW
   explicit Histogram(int bin = 10) : bin(bin) { data = Eigen::MatrixXf::Zero(3, bin); }
 
-  Eigen::MatrixXf eval() const
+  [[nodiscard]] Eigen::MatrixXf eval() const
   {
     float sum = data.sum();
     if (sum < 1e-6f) throw std::runtime_error("invalid division");
@@ -37,7 +37,9 @@ struct Histogram
   void add(const cv::Vec3b & rgb)
   {
     for (int ch = 0; ch < 3; ++ch) {
-      int index = std::clamp(static_cast<int>(rgb[ch] * bin / 255.f), 0, bin - 1);
+      int index = std::clamp(
+        static_cast<int>(static_cast<float>(rgb[ch]) * static_cast<float>(bin) / 255.f), 0,
+        bin - 1);
       data(ch, index) += 1.0f;
     }
   }
diff --git a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/lanelet2_overlay/lanelet2_overlay.hpp b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/lanelet2_overlay/lanelet2_overlay.hpp
index 7d644376ba591..d6d737a2808c4 100644
--- a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/lanelet2_overlay/lanelet2_overlay.hpp
+++ b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/lanelet2_overlay/lanelet2_overlay.hpp
@@ -76,7 +76,7 @@ class Lanelet2Overlay : public rclcpp::Node
   void draw_overlay(
     const cv::Mat & image, const std::optional<Pose> & pose, const rclcpp::Time & stamp);
   void draw_overlay_line_segments(
-    cv::Mat & image, const Pose & pose, const LineSegments & line_segments);
+    cv::Mat & image, const Pose & pose, const LineSegments & near_segments);
 
   void make_vis_marker(const LineSegments & ls, const Pose & pose, const rclcpp::Time & stamp);
 };
diff --git a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/line_segment_detector/line_segment_detector.hpp b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/line_segment_detector/line_segment_detector.hpp
index 761c581200369..7da51cc5daf35 100644
--- a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/line_segment_detector/line_segment_detector.hpp
+++ b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/line_segment_detector/line_segment_detector.hpp
@@ -51,8 +51,8 @@ class LineSegmentDetector : public rclcpp::Node
 
   cv::Ptr<cv::LineSegmentDetector> line_segment_detector_;
 
-  std::vector<cv::Mat> remove_too_outer_elements(
-    const cv::Mat & lines, const cv::Size & size) const;
+  static std::vector<cv::Mat> remove_too_outer_elements(
+    const cv::Mat & lines, const cv::Size & size);
   void on_image(const sensor_msgs::msg::Image & msg);
   void execute(const cv::Mat & image, const rclcpp::Time & stamp);
 };
diff --git a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/segment_filter/segment_filter.hpp b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/segment_filter/segment_filter.hpp
index c8f036f2b12de..6b76db6751d26 100644
--- a/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/segment_filter/segment_filter.hpp
+++ b/localization/yabloc/yabloc_image_processing/include/yabloc_image_processing/segment_filter/segment_filter.hpp
@@ -63,14 +63,14 @@ class SegmentFilter : public rclcpp::Node
   bool define_project_func();
 
   pcl::PointCloud<pcl::PointNormal> project_lines(
-    const pcl::PointCloud<pcl::PointNormal> & lines, const std::set<int> & indices,
+    const pcl::PointCloud<pcl::PointNormal> & points, const std::set<int> & indices,
     bool negative = false) const;
 
-  std::set<int> filter_by_mask(
+  static std::set<int> filter_by_mask(
     const cv::Mat & mask, const pcl::PointCloud<pcl::PointNormal> & edges);
 
   cv::Point2i to_cv_point(const Eigen::Vector3f & v) const;
-  void execute(const PointCloud2 & msg1, const Image & msg2);
+  void execute(const PointCloud2 & line_segments_msg, const Image & segment_msg);
 
   bool is_near_element(const pcl::PointNormal & pn, pcl::PointNormal & truncated_pn) const;
 };
diff --git a/localization/yabloc/yabloc_image_processing/package.xml b/localization/yabloc/yabloc_image_processing/package.xml
index 416acfdc76a16..453ae58b9b33b 100644
--- a/localization/yabloc/yabloc_image_processing/package.xml
+++ b/localization/yabloc/yabloc_image_processing/package.xml
@@ -16,13 +16,13 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>cv_bridge</depend>
   <depend>pcl_conversions</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>sensor_msgs</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
   <depend>yabloc_common</depend>
 
diff --git a/localization/yabloc/yabloc_image_processing/src/graph_segment/graph_segment_core.cpp b/localization/yabloc/yabloc_image_processing/src/graph_segment/graph_segment_core.cpp
index f8d4c74dd5bf8..9539e44f61276 100644
--- a/localization/yabloc/yabloc_image_processing/src/graph_segment/graph_segment_core.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/graph_segment/graph_segment_core.cpp
@@ -15,9 +15,9 @@
 #include "yabloc_image_processing/graph_segment/graph_segment.hpp"
 #include "yabloc_image_processing/graph_segment/histogram.hpp"
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <opencv4/opencv2/highgui.hpp>
 #include <opencv4/opencv2/imgproc.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 #include <yabloc_common/cv_decompress.hpp>
 #include <yabloc_common/pub_sub.hpp>
 
@@ -25,8 +25,9 @@ namespace yabloc::graph_segment
 {
 GraphSegment::GraphSegment(const rclcpp::NodeOptions & options)
 : Node("graph_segment", options),
-  target_height_ratio_(declare_parameter<float>("target_height_ratio")),
-  target_candidate_box_width_(declare_parameter<int>("target_candidate_box_width"))
+  target_height_ratio_(static_cast<float>(declare_parameter<float>("target_height_ratio"))),
+  target_candidate_box_width_(
+    static_cast<int>(declare_parameter<int>("target_candidate_box_width")))
 {
   using std::placeholders::_1;
 
@@ -38,8 +39,8 @@ GraphSegment::GraphSegment(const rclcpp::NodeOptions & options)
   pub_debug_image_ = create_publisher<Image>("~/debug/segmented_image", 10);
 
   const double sigma = declare_parameter<double>("sigma");
-  const float k = declare_parameter<float>("k");
-  const int min_size = declare_parameter<double>("min_size");
+  const float k = static_cast<float>(declare_parameter<float>("k"));
+  const int min_size = static_cast<int>(declare_parameter<double>("min_size"));
   segmentation_ = cv::ximgproc::segmentation::createGraphSegmentation(sigma, k, min_size);
 
   // additional area pickup module
@@ -52,16 +53,20 @@ GraphSegment::GraphSegment(const rclcpp::NodeOptions & options)
 cv::Vec3b random_hsv(int index)
 {
   // It generates colors that are not too bright or too vivid, but rich in hues.
-  double base = static_cast<double>(index);
-  return cv::Vec3b(std::fmod(base * 0.7, 1.0) * 180, 0.7 * 255, 0.5 * 255);
+  auto base = static_cast<double>(index);
+  return {
+    static_cast<unsigned char>(std::fmod(base * 0.7, 1.0) * 180),
+    static_cast<unsigned char>(0.7 * 255), static_cast<unsigned char>(0.5 * 255)};
 };
 
 int GraphSegment::search_most_road_like_class(const cv::Mat & segmented) const
 {
-  const int W = target_candidate_box_width_;
-  const float R = target_height_ratio_;
-  cv::Point2i target_px(segmented.cols * 0.5, segmented.rows * R);
-  cv::Rect2i rect(target_px + cv::Point2i(-W, -W), target_px + cv::Point2i(W, W));
+  const int bw = target_candidate_box_width_;
+  const float r = target_height_ratio_;
+  cv::Point2i target_px(
+    static_cast<int>(static_cast<float>(segmented.cols) * 0.5),
+    static_cast<int>(static_cast<float>(segmented.rows) * r));
+  cv::Rect2i rect(target_px + cv::Point2i(-bw, -bw), target_px + cv::Point2i(bw, bw));
 
   std::unordered_map<int, int> areas;
   std::unordered_set<int> candidates;
@@ -69,7 +74,7 @@ int GraphSegment::search_most_road_like_class(const cv::Mat & segmented) const
     const int * seg_ptr = segmented.ptr<int>(h);
     for (int w = 0; w < segmented.cols; w++) {
       int key = seg_ptr[w];
-      if (areas.count(key) == 0) areas[key] = 0;
+      areas.try_emplace(key, 0);
       areas[key]++;
       if (rect.contains(cv::Point2i{w, h})) candidates.insert(key);
     }
@@ -93,7 +98,7 @@ void GraphSegment::on_image(const Image & msg)
   cv::resize(image, resized, cv::Size(), 0.5, 0.5);
 
   // Execute graph-based segmentation
-  tier4_autoware_utils::StopWatch stop_watch;
+  autoware::universe_utils::StopWatch stop_watch;
   cv::Mat segmented;
   segmentation_->processImage(resized, segmented);
   RCLCPP_INFO_STREAM(get_logger(), "segmentation time: " << stop_watch.toc() * 1000 << "[ms]");
@@ -111,8 +116,8 @@ void GraphSegment::on_image(const Image & msg)
   cv::Mat debug_image = cv::Mat::zeros(resized.size(), CV_8UC3);
   for (int h = 0; h < resized.rows; h++) {
     // NOTE: Accessing through ptr() is faster than at()
-    cv::Vec3b * const debug_image_ptr = debug_image.ptr<cv::Vec3b>(h);
-    uchar * const output_image_ptr = output_image.ptr<uchar>(h);
+    auto * const debug_image_ptr = debug_image.ptr<cv::Vec3b>(h);
+    auto * const output_image_ptr = output_image.ptr<uchar>(h);
     const int * const segmented_image_ptr = segmented.ptr<int>(h);
 
     for (int w = 0; w < resized.cols; w++) {
@@ -148,10 +153,10 @@ void GraphSegment::draw_and_publish_image(
 
   // Draw target rectangle
   {
-    const int W = target_candidate_box_width_;
-    const float R = target_height_ratio_;
-    cv::Point2i target(size.width / 2, size.height * R);
-    cv::Rect2i rect(target + cv::Point2i(-W, -W), target + cv::Point2i(W, W));
+    const int w = target_candidate_box_width_;
+    const float r = target_height_ratio_;
+    cv::Point2i target(size.width / 2, static_cast<int>(static_cast<float>(size.height) * r));
+    cv::Rect2i rect(target + cv::Point2i(-w, -w), target + cv::Point2i(w, w));
     cv::rectangle(show_image, rect, cv::Scalar::all(0), 2);
   }
 
diff --git a/localization/yabloc/yabloc_image_processing/src/graph_segment/similar_area_searcher.cpp b/localization/yabloc/yabloc_image_processing/src/graph_segment/similar_area_searcher.cpp
index 85ce9e354362a..c7bf41bff459b 100644
--- a/localization/yabloc/yabloc_image_processing/src/graph_segment/similar_area_searcher.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/graph_segment/similar_area_searcher.cpp
@@ -37,7 +37,7 @@ std::set<int> SimilarAreaSearcher::search(
 
   for (int h = 0; h < rgb_image.rows; h++) {
     const int * seg_ptr = segmented.ptr<int>(h);
-    const cv::Vec3b * rgb_ptr = rgb_image.ptr<cv::Vec3b>(h);
+    const auto * rgb_ptr = rgb_image.ptr<cv::Vec3b>(h);
 
     for (int w = 0; w < rgb_image.cols; w++) {
       int key = seg_ptr[w];
diff --git a/localization/yabloc/yabloc_image_processing/src/lanelet2_overlay/lanelet2_overlay_core.cpp b/localization/yabloc/yabloc_image_processing/src/lanelet2_overlay/lanelet2_overlay_core.cpp
index 107d861364038..d31b19406e320 100644
--- a/localization/yabloc/yabloc_image_processing/src/lanelet2_overlay/lanelet2_overlay_core.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/lanelet2_overlay/lanelet2_overlay_core.cpp
@@ -72,11 +72,11 @@ void Lanelet2Overlay::on_image(const sensor_msgs::msg::Image & msg)
   // Search synchronized pose
   float min_abs_dt = std::numeric_limits<float>::max();
   std::optional<Pose> synched_pose{std::nullopt};
-  for (auto pose : pose_buffer_) {
+  for (const auto & pose : pose_buffer_) {
     auto dt = (rclcpp::Time(pose.header.stamp) - stamp);
     auto abs_dt = std::abs(dt.seconds());
     if (abs_dt < min_abs_dt) {
-      min_abs_dt = abs_dt;
+      min_abs_dt = static_cast<float>(abs_dt);
       synched_pose = pose.pose;
     }
   }
@@ -93,19 +93,17 @@ void Lanelet2Overlay::on_line_segments(const PointCloud2 & msg)
   // Search synchronized pose
   float min_dt = std::numeric_limits<float>::max();
   geometry_msgs::msg::PoseStamped synched_pose;
-  for (auto pose : pose_buffer_) {
+  for (const auto & pose : pose_buffer_) {
     auto dt = (rclcpp::Time(pose.header.stamp) - stamp);
     auto abs_dt = std::abs(dt.seconds());
     if (abs_dt < min_dt) {
-      min_dt = abs_dt;
+      min_dt = static_cast<float>(abs_dt);
       synched_pose = pose;
     }
   }
   if (min_dt > 0.1) return;
   auto latest_pose_stamp = rclcpp::Time(pose_buffer_.back().header.stamp);
 
-  std::vector<int> a;
-
   LineSegments line_segments_cloud;
   pcl::fromROSMsg(msg, line_segments_cloud);
   make_vis_marker(line_segments_cloud, synched_pose.pose, stamp);
@@ -139,32 +137,35 @@ void Lanelet2Overlay::draw_overlay_line_segments(
   if (!camera_extrinsic_.has_value()) return;
   if (!info_.has_value()) return;
 
-  Eigen::Matrix3f K =
+  Eigen::Matrix3f k =
     Eigen::Map<Eigen::Matrix<double, 3, 3> >(info_->k.data()).cast<float>().transpose();
-  Eigen::Affine3f T = camera_extrinsic_.value();
+  Eigen::Affine3f t = camera_extrinsic_.value();
 
   Eigen::Affine3f transform = ground_plane_.align_with_slope(common::pose_to_affine(pose));
 
-  auto projectLineSegment =
-    [K, T, transform](
+  auto project_line_segment =
+    [k, t, transform](
       const Eigen::Vector3f & p1,
       const Eigen::Vector3f & p2) -> std::tuple<bool, cv::Point2i, cv::Point2i> {
-    Eigen::Vector3f from_camera1 = K * T.inverse() * transform.inverse() * p1;
-    Eigen::Vector3f from_camera2 = K * T.inverse() * transform.inverse() * p2;
-    constexpr float EPSILON = 0.1f;
-    bool p1_is_visible = from_camera1.z() > EPSILON;
-    bool p2_is_visible = from_camera2.z() > EPSILON;
+    Eigen::Vector3f from_camera1 = k * t.inverse() * transform.inverse() * p1;
+    Eigen::Vector3f from_camera2 = k * t.inverse() * transform.inverse() * p2;
+    constexpr float epsilon = 0.1f;
+    bool p1_is_visible = from_camera1.z() > epsilon;
+    bool p2_is_visible = from_camera2.z() > epsilon;
     if ((!p1_is_visible) && (!p2_is_visible)) return {false, cv::Point2i{}, cv::Point2i{}};
 
-    Eigen::Vector3f uv1, uv2;
+    Eigen::Vector3f uv1;
+    Eigen::Vector3f uv2;
     if (p1_is_visible) uv1 = from_camera1 / from_camera1.z();
     if (p2_is_visible) uv2 = from_camera2 / from_camera2.z();
 
     if ((p1_is_visible) && (p2_is_visible))
-      return {true, cv::Point2i(uv1.x(), uv1.y()), cv::Point2i(uv2.x(), uv2.y())};
+      return {
+        true, cv::Point2i(static_cast<int>(uv1.x()), static_cast<int>(uv1.y())),
+        cv::Point2i(static_cast<int>(uv2.x()), static_cast<int>(uv2.y()))};
 
     Eigen::Vector3f tangent = from_camera2 - from_camera1;
-    float mu = (EPSILON - from_camera1.z()) / (tangent.z());
+    float mu = (epsilon - from_camera1.z()) / (tangent.z());
     if (!p1_is_visible) {
       from_camera1 = from_camera1 + mu * tangent;
       uv1 = from_camera1 / from_camera1.z();
@@ -173,11 +174,13 @@ void Lanelet2Overlay::draw_overlay_line_segments(
       from_camera2 = from_camera1 + mu * tangent;
       uv2 = from_camera2 / from_camera2.z();
     }
-    return {true, cv::Point2i(uv1.x(), uv1.y()), cv::Point2i(uv2.x(), uv2.y())};
+    return {
+      true, cv::Point2i(static_cast<int>(uv1.x()), static_cast<int>(uv1.y())),
+      cv::Point2i(static_cast<int>(uv2.x()), static_cast<int>(uv2.y()))};
   };
 
   for (const pcl::PointNormal & pn : near_segments) {
-    auto [success, u1, u2] = projectLineSegment(pn.getVector3fMap(), pn.getNormalVector3fMap());
+    auto [success, u1, u2] = project_line_segment(pn.getVector3fMap(), pn.getNormalVector3fMap());
     if (success) cv::line(image, u1, u2, cv::Scalar(0, 255, 255), 2);
   }
 }
@@ -197,7 +200,8 @@ void Lanelet2Overlay::make_vis_marker(
   marker.color.a = 0.7f;
 
   for (const auto pn : ls) {
-    geometry_msgs::msg::Point p1, p2;
+    geometry_msgs::msg::Point p1;
+    geometry_msgs::msg::Point p2;
     p1.x = pn.x;
     p1.y = pn.y;
     p1.z = pn.z;
diff --git a/localization/yabloc/yabloc_image_processing/src/line_segment_detector/line_segment_detector_core.cpp b/localization/yabloc/yabloc_image_processing/src/line_segment_detector/line_segment_detector_core.cpp
index c613642628499..c5cec31e24844 100644
--- a/localization/yabloc/yabloc_image_processing/src/line_segment_detector/line_segment_detector_core.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/line_segment_detector/line_segment_detector_core.cpp
@@ -14,8 +14,8 @@
 
 #include "yabloc_image_processing/line_segment_detector/line_segment_detector.hpp"
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <opencv4/opencv2/imgproc.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 #include <yabloc_common/cv_decompress.hpp>
 #include <yabloc_common/pub_sub.hpp>
 
@@ -53,7 +53,7 @@ void LineSegmentDetector::execute(const cv::Mat & image, const rclcpp::Time & st
 
   cv::Mat lines;
   {
-    tier4_autoware_utils::StopWatch stop_watch;
+    autoware::universe_utils::StopWatch stop_watch;
     line_segment_detector_->detect(gray_image, lines);
     if (lines.size().width != 0) {
       line_segment_detector_->drawSegments(gray_image, lines);
@@ -67,7 +67,8 @@ void LineSegmentDetector::execute(const cv::Mat & image, const rclcpp::Time & st
   std::vector<cv::Mat> filtered_lines = remove_too_outer_elements(lines, image.size());
 
   for (const cv::Mat & xy_xy : filtered_lines) {
-    Eigen::Vector3f xy1, xy2;
+    Eigen::Vector3f xy1;
+    Eigen::Vector3f xy2;
     xy1 << xy_xy.at<float>(0), xy_xy.at<float>(1), 0;
     xy2 << xy_xy.at<float>(2), xy_xy.at<float>(3), 0;
     pcl::PointNormal pn;
@@ -79,7 +80,7 @@ void LineSegmentDetector::execute(const cv::Mat & image, const rclcpp::Time & st
 }
 
 std::vector<cv::Mat> LineSegmentDetector::remove_too_outer_elements(
-  const cv::Mat & lines, const cv::Size & size) const
+  const cv::Mat & lines, const cv::Size & size)
 {
   std::vector<cv::Rect2i> rect_vector;
   rect_vector.emplace_back(0, 0, size.width, 3);
diff --git a/localization/yabloc/yabloc_image_processing/src/line_segments_overlay/line_segments_overlay_core.cpp b/localization/yabloc/yabloc_image_processing/src/line_segments_overlay/line_segments_overlay_core.cpp
index 7e06de81fbd18..70e1bf2d6e6e2 100644
--- a/localization/yabloc/yabloc_image_processing/src/line_segments_overlay/line_segments_overlay_core.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/line_segments_overlay/line_segments_overlay_core.cpp
@@ -30,11 +30,11 @@ LineSegmentsOverlay::LineSegmentsOverlay(const rclcpp::NodeOptions & options)
   using std::placeholders::_1;
 
   auto cb_image = std::bind(&LineSegmentsOverlay::on_image, this, _1);
-  auto cb_line_segments_ = std::bind(&LineSegmentsOverlay::on_line_segments, this, _1);
+  auto cb_line_segments = std::bind(&LineSegmentsOverlay::on_line_segments, this, _1);
 
   sub_image_ = create_subscription<Image>("~/input/image_raw", 10, cb_image);
   sub_line_segments_ =
-    create_subscription<PointCloud2>("~/input/line_segments", 10, cb_line_segments_);
+    create_subscription<PointCloud2>("~/input/line_segments", 10, cb_line_segments);
 
   pub_debug_image_ = create_publisher<Image>("~/debug/image_with_colored_line_segments", 10);
 }
@@ -73,8 +73,7 @@ void LineSegmentsOverlay::on_line_segments(const PointCloud2::ConstSharedPtr & l
   LineSegments line_segments_cloud;
   pcl::fromROSMsg(*line_segments_msg, line_segments_cloud);
 
-  for (size_t index = 0; index < line_segments_cloud.size(); ++index) {
-    const LineSegment & pn = line_segments_cloud.at(index);
+  for (auto & pn : line_segments_cloud) {
     Eigen::Vector3f xy1 = pn.getVector3fMap();
     Eigen::Vector3f xy2 = pn.getNormalVector3fMap();
 
@@ -83,7 +82,9 @@ void LineSegmentsOverlay::on_line_segments(const PointCloud2::ConstSharedPtr & l
       color = cv::Scalar(0, 0, 255);  // Red
     }
 
-    cv::line(image, cv::Point(xy1(0), xy1(1)), cv::Point(xy2(0), xy2(1)), color, 2);
+    cv::line(
+      image, cv::Point(static_cast<int>(xy1(0)), static_cast<int>(xy1(1))),
+      cv::Point(static_cast<int>(xy2(0)), static_cast<int>(xy2(1))), color, 2);
   }
 
   common::publish_image(*pub_debug_image_, image, stamp);
diff --git a/localization/yabloc/yabloc_image_processing/src/segment_filter/segment_filter_core.cpp b/localization/yabloc/yabloc_image_processing/src/segment_filter/segment_filter_core.cpp
index df0aa7d65c617..b844fb69285b5 100644
--- a/localization/yabloc/yabloc_image_processing/src/segment_filter/segment_filter_core.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/segment_filter/segment_filter_core.cpp
@@ -25,11 +25,11 @@ namespace yabloc::segment_filter
 {
 SegmentFilter::SegmentFilter(const rclcpp::NodeOptions & options)
 : Node("segment_filter", options),
-  image_size_(declare_parameter<int>("image_size")),
-  max_range_(declare_parameter<float>("max_range")),
-  min_segment_length_(declare_parameter<float>("min_segment_length")),
-  max_segment_distance_(declare_parameter<float>("max_segment_distance")),
-  max_lateral_distance_(declare_parameter<float>("max_lateral_distance")),
+  image_size_(static_cast<int>(declare_parameter<int>("image_size"))),
+  max_range_(static_cast<float>(declare_parameter<float>("max_range"))),
+  min_segment_length_(static_cast<float>(declare_parameter<float>("min_segment_length"))),
+  max_segment_distance_(static_cast<float>(declare_parameter<float>("max_segment_distance"))),
+  max_lateral_distance_(static_cast<float>(declare_parameter<float>("max_lateral_distance"))),
   info_(this),
   synchro_subscriber_(this, "~/input/line_segments_cloud", "~/input/graph_segmented"),
   tf_subscriber_(this->get_clock())
@@ -47,9 +47,12 @@ SegmentFilter::SegmentFilter(const rclcpp::NodeOptions & options)
 
 cv::Point2i SegmentFilter::to_cv_point(const Eigen::Vector3f & v) const
 {
-  cv::Point pt;
-  pt.x = -v.y() / max_range_ * image_size_ * 0.5f + image_size_ / 2;
-  pt.y = -v.x() / max_range_ * image_size_ * 0.5f + image_size_;
+  cv::Point2i pt;
+  pt.x = static_cast<int>(
+    -v.y() / max_range_ * static_cast<float>(image_size_) * 0.5f +
+    static_cast<float>(image_size_) / 2.0);
+  pt.y = static_cast<int>(
+    -v.x() / max_range_ * static_cast<float>(image_size_) * 0.5f + static_cast<float>(image_size_));
   return pt;
 }
 
@@ -149,7 +152,7 @@ void SegmentFilter::execute(const PointCloud2 & line_segments_msg, const Image &
       pcl::PointXYZLNormal pln;
       pln.getVector3fMap() = pn.getVector3fMap();
       pln.getNormalVector3fMap() = pn.getNormalVector3fMap();
-      if (indices.count(index) > 0)
+      if (indices.count(static_cast<int>(index)) > 0)
         pln.label = 255;
       else
         pln.label = 0;
@@ -194,7 +197,7 @@ std::set<ushort> get_unique_pixel_value(cv::Mat & image)
   auto last = std::unique(begin, image.end<ushort>());
   std::sort(begin, last);
   last = std::unique(begin, last);
-  return std::set<ushort>(begin, last);
+  return {begin, last};
 }
 
 pcl::PointCloud<pcl::PointNormal> SegmentFilter::project_lines(
@@ -204,9 +207,9 @@ pcl::PointCloud<pcl::PointNormal> SegmentFilter::project_lines(
   pcl::PointCloud<pcl::PointNormal> projected_points;
   for (size_t index = 0; index < points.size(); ++index) {
     if (negative) {
-      if (indices.count(index) > 0) continue;
+      if (indices.count(static_cast<int>(index)) > 0) continue;
     } else {
-      if (indices.count(index) == 0) continue;
+      if (indices.count(static_cast<int>(index)) == 0) continue;
     }
 
     pcl::PointNormal truncated_pn = points.at(index);
@@ -254,9 +257,10 @@ std::set<int> SegmentFilter::filter_by_mask(
     auto & pn = edges.at(i);
     Eigen::Vector3f p1 = pn.getVector3fMap();
     Eigen::Vector3f p2 = pn.getNormalVector3fMap();
-    cv::Scalar color = cv::Scalar::all(i + 1);
+    cv::Scalar color = cv::Scalar::all(static_cast<double>(i + 1));
     cv::line(
-      line_image, cv::Point2i(p1.x(), p1.y()), cv::Point2i(p2.x(), p2.y()), color, 1,
+      line_image, cv::Point2i(static_cast<int>(p1.x()), static_cast<int>(p1.y())),
+      cv::Point2i(static_cast<int>(p2.x()), static_cast<int>(p2.y())), color, 1,
       cv::LineTypes::LINE_4);
   }
 
@@ -275,7 +279,7 @@ std::set<int> SegmentFilter::filter_by_mask(
   // Extract edges within masks
   std::set<int> reliable_indices;
   for (size_t i = 0; i < edges.size(); i++) {
-    if (pixel_values.count(i + 1) != 0) reliable_indices.insert(i);
+    if (pixel_values.count(i + 1) != 0) reliable_indices.insert(static_cast<int>(i));
   }
 
   return reliable_indices;
diff --git a/localization/yabloc/yabloc_image_processing/src/undistort/undistort_node.cpp b/localization/yabloc/yabloc_image_processing/src/undistort/undistort_node.cpp
index 0714b6c8091c8..5590387e5ba26 100644
--- a/localization/yabloc/yabloc_image_processing/src/undistort/undistort_node.cpp
+++ b/localization/yabloc/yabloc_image_processing/src/undistort/undistort_node.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <opencv4/opencv2/calib3d.hpp>
 #include <opencv4/opencv2/core.hpp>
 #include <opencv4/opencv2/imgproc.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 #include <yabloc_common/cv_decompress.hpp>
 #include <yabloc_common/pub_sub.hpp>
 
@@ -39,8 +39,8 @@ class UndistortNode : public rclcpp::Node
 
   explicit UndistortNode(const rclcpp::NodeOptions & options)
   : Node("undistort", options),
-    OUTPUT_WIDTH(declare_parameter<int>("width")),
-    OVERRIDE_FRAME_ID(declare_parameter<std::string>("override_frame_id"))
+    OUTPUT_WIDTH_(static_cast<int>(declare_parameter<int>("width"))),
+    OVERRIDE_FRAME_ID_(declare_parameter<std::string>("override_frame_id"))
   {
     using std::placeholders::_1;
 
@@ -63,8 +63,8 @@ class UndistortNode : public rclcpp::Node
   }
 
 private:
-  const int OUTPUT_WIDTH;
-  const std::string OVERRIDE_FRAME_ID;
+  const int OUTPUT_WIDTH_;
+  const std::string OVERRIDE_FRAME_ID_;
 
   rclcpp::Subscription<Image>::SharedPtr sub_image_;
   rclcpp::Subscription<CompressedImage>::SharedPtr sub_compressed_image_;
@@ -74,29 +74,33 @@ class UndistortNode : public rclcpp::Node
   std::optional<CameraInfo> info_{std::nullopt};
   std::optional<CameraInfo> scaled_info_{std::nullopt};
 
-  cv::Mat undistort_map_x, undistort_map_y;
+  cv::Mat undistort_map_x_, undistort_map_y_;
 
   void make_remap_lut()
   {
     if (!info_.has_value()) return;
-    cv::Mat K = cv::Mat(cv::Size(3, 3), CV_64FC1, reinterpret_cast<void *>(info_->k.data()));
-    cv::Mat D = cv::Mat(cv::Size(5, 1), CV_64FC1, reinterpret_cast<void *>(info_->d.data()));
-    cv::Size size(info_->width, info_->height);
+    cv::Mat k = cv::Mat(cv::Size(3, 3), CV_64FC1, info_->k.data());
+    cv::Mat d = cv::Mat(cv::Size(5, 1), CV_64FC1, info_->d.data());
+    cv::Size size(static_cast<int>(info_->width), static_cast<int>(info_->height));
 
     cv::Size new_size = size;
-    if (OUTPUT_WIDTH > 0)
-      new_size = cv::Size(OUTPUT_WIDTH, 1.0f * OUTPUT_WIDTH / size.width * size.height);
+    if (OUTPUT_WIDTH_ > 0)
+      // set new_size along with aspect ratio
+      new_size = cv::Size(
+        OUTPUT_WIDTH_, static_cast<int>(
+                         static_cast<float>(OUTPUT_WIDTH_) *
+                         (static_cast<float>(size.height) / static_cast<float>(size.width))));
 
-    cv::Mat new_K = cv::getOptimalNewCameraMatrix(K, D, size, 0, new_size);
+    cv::Mat new_k = cv::getOptimalNewCameraMatrix(k, d, size, 0, new_size);
 
     cv::initUndistortRectifyMap(
-      K, D, cv::Mat(), new_K, new_size, CV_32FC1, undistort_map_x, undistort_map_y);
+      k, d, cv::Mat(), new_k, new_size, CV_32FC1, undistort_map_x_, undistort_map_y_);
 
     scaled_info_ = sensor_msgs::msg::CameraInfo{};
-    scaled_info_->k.at(0) = new_K.at<double>(0, 0);
-    scaled_info_->k.at(2) = new_K.at<double>(0, 2);
-    scaled_info_->k.at(4) = new_K.at<double>(1, 1);
-    scaled_info_->k.at(5) = new_K.at<double>(1, 2);
+    scaled_info_->k.at(0) = new_k.at<double>(0, 0);
+    scaled_info_->k.at(2) = new_k.at<double>(0, 2);
+    scaled_info_->k.at(4) = new_k.at<double>(1, 1);
+    scaled_info_->k.at(5) = new_k.at<double>(1, 2);
     scaled_info_->k.at(8) = 1;
     scaled_info_->d.resize(5);
     scaled_info_->width = new_size.width;
@@ -106,12 +110,12 @@ class UndistortNode : public rclcpp::Node
   void remap_and_publish(const cv::Mat & image, const std_msgs::msg::Header & header)
   {
     cv::Mat undistorted_image;
-    cv::remap(image, undistorted_image, undistort_map_x, undistort_map_y, cv::INTER_LINEAR);
+    cv::remap(image, undistorted_image, undistort_map_x_, undistort_map_y_, cv::INTER_LINEAR);
 
     // Publish CameraInfo
     {
       scaled_info_->header = info_->header;
-      if (OVERRIDE_FRAME_ID != "") scaled_info_->header.frame_id = OVERRIDE_FRAME_ID;
+      if (!OVERRIDE_FRAME_ID_.empty()) scaled_info_->header.frame_id = OVERRIDE_FRAME_ID_;
       pub_info_->publish(scaled_info_.value());
     }
 
@@ -119,8 +123,8 @@ class UndistortNode : public rclcpp::Node
     {
       cv_bridge::CvImage bridge;
       bridge.header.stamp = header.stamp;
-      if (OVERRIDE_FRAME_ID != "")
-        bridge.header.frame_id = OVERRIDE_FRAME_ID;
+      if (!OVERRIDE_FRAME_ID_.empty())
+        bridge.header.frame_id = OVERRIDE_FRAME_ID_;
       else
         bridge.header.frame_id = header.frame_id;
       bridge.encoding = "bgr8";
@@ -134,7 +138,7 @@ class UndistortNode : public rclcpp::Node
     if (!info_.has_value()) {
       return;
     }
-    if (undistort_map_x.empty()) {
+    if (undistort_map_x_.empty()) {
       make_remap_lut();
     }
 
@@ -143,7 +147,7 @@ class UndistortNode : public rclcpp::Node
       sub_compressed_image_.reset();
     }
 
-    tier4_autoware_utils::StopWatch stop_watch;
+    autoware::universe_utils::StopWatch stop_watch;
     remap_and_publish(common::decompress_to_cv_mat(msg), msg.header);
     RCLCPP_INFO_STREAM(get_logger(), "image undistort: " << stop_watch.toc() << "[ms]");
   }
@@ -153,11 +157,11 @@ class UndistortNode : public rclcpp::Node
     if (!info_.has_value()) {
       return;
     }
-    if (undistort_map_x.empty()) {
+    if (undistort_map_x_.empty()) {
       make_remap_lut();
     }
 
-    tier4_autoware_utils::StopWatch stop_watch;
+    autoware::universe_utils::StopWatch stop_watch;
     remap_and_publish(common::decompress_to_cv_mat(msg), msg.header);
     RCLCPP_INFO_STREAM(get_logger(), "image undistort: " << stop_watch.toc() << "[ms]");
   }
diff --git a/localization/yabloc/yabloc_monitor/CMakeLists.txt b/localization/yabloc/yabloc_monitor/CMakeLists.txt
index aa1515661b2f6..7267cda53714f 100644
--- a/localization/yabloc/yabloc_monitor/CMakeLists.txt
+++ b/localization/yabloc/yabloc_monitor/CMakeLists.txt
@@ -4,12 +4,16 @@ project(yabloc_monitor)
 find_package(autoware_cmake REQUIRED)
 autoware_package()
 
-ament_auto_add_executable(yabloc_monitor
-  src/yabloc_monitor_node.cpp
+ament_auto_add_library(${PROJECT_NAME}
   src/yabloc_monitor_core.cpp
   src/availability_module.cpp
 )
-ament_target_dependencies(yabloc_monitor)
+
+rclcpp_components_register_node(${PROJECT_NAME}
+  PLUGIN "YabLocMonitor"
+  EXECUTABLE ${PROJECT_NAME}_node
+  EXECUTOR SingleThreadedExecutor
+)
 
 ament_auto_package(
   INSTALL_TO_SHARE
diff --git a/localization/yabloc/yabloc_monitor/launch/yabloc_monitor.launch.xml b/localization/yabloc/yabloc_monitor/launch/yabloc_monitor.launch.xml
index cf9f73977d35d..3073208e2e1a2 100644
--- a/localization/yabloc/yabloc_monitor/launch/yabloc_monitor.launch.xml
+++ b/localization/yabloc/yabloc_monitor/launch/yabloc_monitor.launch.xml
@@ -1,7 +1,7 @@
 <launch>
   <arg name="param_file" default="$(find-pkg-share yabloc_monitor)/config/yabloc_monitor.param.yaml"/>
 
-  <node name="yabloc_monitor" pkg="yabloc_monitor" exec="yabloc_monitor" output="screen">
+  <node pkg="yabloc_monitor" exec="yabloc_monitor_node" output="both">
     <param from="$(var param_file)"/>
     <remap from="~/input/yabloc_pose" to="/localization/pose_estimator/yabloc/pf/pose"/>
   </node>
diff --git a/localization/yabloc/yabloc_monitor/package.xml b/localization/yabloc/yabloc_monitor/package.xml
index 22a5d0eded6b6..a42a734dbab31 100644
--- a/localization/yabloc/yabloc_monitor/package.xml
+++ b/localization/yabloc/yabloc_monitor/package.xml
@@ -20,6 +20,7 @@
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
+  <depend>rclcpp_components</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.cpp b/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.cpp
index 876b86fd2bc9e..31e6ec9c51e7a 100644
--- a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.cpp
+++ b/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.cpp
@@ -18,7 +18,8 @@
 
 #include <memory>
 
-YabLocMonitor::YabLocMonitor() : Node("yabloc_monitor"), updater_(this)
+YabLocMonitor::YabLocMonitor(const rclcpp::NodeOptions & options)
+: Node("yabloc_monitor", options), updater_(this)
 {
   updater_.setHardwareID(get_name());
   updater_.add("yabloc_status", this, &YabLocMonitor::update_diagnostics);
@@ -46,3 +47,6 @@ void YabLocMonitor::update_diagnostics(diagnostic_updater::DiagnosticStatusWrapp
     stat.summary(diagnostic_msgs::msg::DiagnosticStatus::ERROR, "NG");
   }
 }
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(YabLocMonitor)
diff --git a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.hpp b/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.hpp
index 8b8b937da205b..5dd46d63de6f2 100644
--- a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.hpp
+++ b/localization/yabloc/yabloc_monitor/src/yabloc_monitor_core.hpp
@@ -25,7 +25,7 @@
 class YabLocMonitor : public rclcpp::Node
 {
 public:
-  YabLocMonitor();
+  explicit YabLocMonitor(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
 
 private:
   void update_diagnostics(diagnostic_updater::DiagnosticStatusWrapper & stat);
diff --git a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_node.cpp b/localization/yabloc/yabloc_monitor/src/yabloc_monitor_node.cpp
deleted file mode 100644
index 9b58325c852ea..0000000000000
--- a/localization/yabloc/yabloc_monitor/src/yabloc_monitor_node.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// Copyright 2023 TIER IV
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_monitor_core.hpp"
-
-#include <memory>
-
-int main(int argc, char ** argv)
-{
-  rclcpp::init(argc, argv);
-  rclcpp::NodeOptions node_options;
-  auto node = std::make_shared<YabLocMonitor>();
-
-  rclcpp::spin(node);
-
-  return 0;
-}
diff --git a/localization/yabloc/yabloc_particle_filter/CMakeLists.txt b/localization/yabloc/yabloc_particle_filter/CMakeLists.txt
index 1284c52690795..ac122d0b86f98 100644
--- a/localization/yabloc/yabloc_particle_filter/CMakeLists.txt
+++ b/localization/yabloc/yabloc_particle_filter/CMakeLists.txt
@@ -11,9 +11,6 @@ find_package(PCL REQUIRED)
 # Sophus
 find_package(Sophus REQUIRED)
 
-# glog
-find_package(glog REQUIRED)
-
 # GeographicLib
 find_package(PkgConfig)
 find_path(GeographicLib_INCLUDE_DIR GeographicLib/Config.h
@@ -38,8 +35,7 @@ rosidl_generate_interfaces(${PROJECT_NAME}
 )
 
 # ===================================================
-# Libraries
-# correction library
+# Correction library
 ament_auto_add_library(
   abstract_corrector
   SHARED
@@ -60,6 +56,7 @@ ament_auto_add_library(predictor
 target_include_directories(predictor SYSTEM PRIVATE ${PCL_INCLUDE_DIRS})
 target_link_libraries(predictor Sophus::Sophus ${PCL_LIBRARIES})
 
+# ===================================================
 # ros2idl typesupport
 if(${rosidl_cmake_VERSION} VERSION_LESS 2.5.0)
   rosidl_target_interfaces(abstract_corrector ${PROJECT_NAME} "rosidl_typesupport_cpp")
@@ -70,48 +67,45 @@ else()
   target_link_libraries(predictor "${cpp_typesupport_target}")
 endif()
 
-# Cost map Library
-ament_auto_add_library(ll2_cost_map
-  SHARED
-  src/ll2_cost_map/hierarchical_cost_map.cpp
-  src/ll2_cost_map/direct_cost_map.cpp
-)
-target_include_directories(ll2_cost_map PUBLIC include)
-target_include_directories(ll2_cost_map SYSTEM PRIVATE ${EIGEN3_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS})
-target_link_libraries(ll2_cost_map ${PCL_LIBRARIES})
-
 # ===================================================
 # Executables
 # Predictor
-ament_auto_add_executable(predictor_node
-  src/prediction/predictor_node.cpp
-)
-target_link_libraries(predictor_node predictor)
-
-# Visualizer
-ament_auto_add_executable(particle_visualize
-  src/common/particle_visualize_node.cpp
+rclcpp_components_register_node(predictor
+  PLUGIN "yabloc::modularized_particle_filter::Predictor"
+  EXECUTABLE yabloc_predictor_node
+  EXECUTOR SingleThreadedExecutor
 )
 
 # GNSS corrector
-set(TARGET gnss_particle_corrector_node)
-ament_auto_add_executable(${TARGET}
-  src/gnss_corrector/gnss_corrector_node.cpp
-  src/gnss_corrector/gnss_corrector_core.cpp)
+set(TARGET gnss_particle_corrector)
+ament_auto_add_library(${TARGET}
+  src/gnss_corrector/gnss_corrector_core.cpp
+)
 target_include_directories(${TARGET} PUBLIC include)
 target_include_directories(${TARGET} PUBLIC SYSTEM ${GeographicLib_INCLUDE_DIRS} ${EIGEN3_INCLUDE_DIRS})
-target_link_libraries(${TARGET} Sophus::Sophus)
+target_link_libraries(${TARGET} abstract_corrector Sophus::Sophus)
+rclcpp_components_register_node(${TARGET}
+  PLUGIN "yabloc::modularized_particle_filter::GnssParticleCorrector"
+  EXECUTABLE yabloc_gnss_particle_corrector_node
+  EXECUTOR SingleThreadedExecutor
+)
 
 # Camera corrector
-set(TARGET camera_particle_corrector_node)
-ament_auto_add_executable(${TARGET}
-  src/camera_corrector/camera_particle_corrector_node.cpp
+set(TARGET camera_particle_corrector)
+ament_auto_add_library(${TARGET}
+  src/ll2_cost_map/hierarchical_cost_map.cpp
+  src/ll2_cost_map/direct_cost_map.cpp
   src/camera_corrector/filter_line_segments.cpp
   src/camera_corrector/logit.cpp
   src/camera_corrector/camera_particle_corrector_core.cpp)
 target_include_directories(${TARGET} PUBLIC include)
 target_include_directories(${TARGET} SYSTEM PRIVATE ${EIGEN3_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS})
-target_link_libraries(${TARGET} Sophus::Sophus ${PCL_LIBRARIES} glog::glog)
+target_link_libraries(${TARGET} abstract_corrector Sophus::Sophus ${PCL_LIBRARIES})
+rclcpp_components_register_node(${TARGET}
+  PLUGIN "yabloc::modularized_particle_filter::CameraParticleCorrector"
+  EXECUTABLE yabloc_camera_particle_corrector_node
+  EXECUTOR SingleThreadedExecutor
+)
 
 # ===================================================
 # TEST
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp
index 59a163a8cc0a1..4ca8c01b3be64 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp
@@ -33,7 +33,7 @@
 
 namespace yabloc::modularized_particle_filter
 {
-cv::Point2f cv2pt(const Eigen::Vector3f v);
+cv::Point2f cv2pt(const Eigen::Vector3f & v);
 float abs_cos(const Eigen::Vector3f & t, float deg);
 
 class CameraParticleCorrector : public modularized_particle_filter::AbstractCorrector
@@ -49,7 +49,7 @@ class CameraParticleCorrector : public modularized_particle_filter::AbstractCorr
   using Bool = std_msgs::msg::Bool;
   using String = std_msgs::msg::String;
   using SetBool = std_srvs::srv::SetBool;
-  CameraParticleCorrector();
+  explicit CameraParticleCorrector(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
 
 private:
   const float min_prob_;
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/logit.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/logit.hpp
index caf93abd0028f..0b2954dd46ba5 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/logit.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/camera_corrector/logit.hpp
@@ -18,15 +18,6 @@
 namespace yabloc
 {
 float logit_to_prob(float logit, float gain = 1.0f);
-
-/**
- * Convert probability to logit
- * This function is much faster than logit_to_prob() because it refers to pre-computed table
- *
- * @param[in] prob
- * @return logit
- */
-float prob_to_logit(float prob);
 }  // namespace yabloc
 
 #endif  // YABLOC_PARTICLE_FILTER__CAMERA_CORRECTOR__LOGIT_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/mean.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/mean.hpp
index e6af4f0d76d49..4e2c6cd8a842c 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/mean.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/mean.hpp
@@ -20,18 +20,13 @@
 
 #include <geometry_msgs/msg/pose.hpp>
 
-namespace yabloc
-{
-namespace modularized_particle_filter
+namespace yabloc::modularized_particle_filter
 {
 geometry_msgs::msg::Pose get_mean_pose(
   const yabloc_particle_filter::msg::ParticleArray & particle_array);
 
 Eigen::Matrix3f std_of_distribution(
   const yabloc_particle_filter::msg::ParticleArray & particle_array);
-
-float std_of_weight(const yabloc_particle_filter::msg::ParticleArray & particle_array);
-}  // namespace modularized_particle_filter
-}  // namespace yabloc
+}  // namespace yabloc::modularized_particle_filter
 
 #endif  // YABLOC_PARTICLE_FILTER__COMMON__MEAN_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/prediction_util.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/prediction_util.hpp
index 6059f16826c98..140f1553b88ee 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/prediction_util.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/prediction_util.hpp
@@ -22,14 +22,12 @@
 #include <random>
 #include <vector>
 
-namespace yabloc
+namespace yabloc::modularized_particle_filter::util
 {
-namespace modularized_particle_filter::util
-{
-std::random_device seed_gen;
-std::default_random_engine engine(seed_gen());
+inline std::random_device seed_gen;
+inline std::default_random_engine engine(seed_gen());
 
-Eigen::Vector2d nrand_2d(const Eigen::Matrix2d cov)
+inline Eigen::Vector2d nrand_2d(const Eigen::Matrix2d & cov)
 {
   Eigen::JacobiSVD<Eigen::Matrix2d> svd;
   svd.compute(cov, Eigen::ComputeFullU | Eigen::ComputeFullV);
@@ -50,7 +48,7 @@ T nrand(T std)
   return dist(engine);
 }
 
-double normalize_radian(const double rad, const double min_rad = -M_PI)
+inline double normalize_radian(const double rad, const double min_rad = -M_PI)
 {
   const auto max_rad = min_rad + 2 * M_PI;
 
@@ -63,6 +61,5 @@ double normalize_radian(const double rad, const double min_rad = -M_PI)
   return value - std::copysign(2 * M_PI, value);
 }
 
-}  // namespace modularized_particle_filter::util
-}  // namespace yabloc
+}  // namespace yabloc::modularized_particle_filter::util
 #endif  // YABLOC_PARTICLE_FILTER__COMMON__PREDICTION_UTIL_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/visualize.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/visualize.hpp
index f1ecf35e81761..3b35d1a9a0da6 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/visualize.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/common/visualize.hpp
@@ -21,9 +21,7 @@
 #include <std_msgs/msg/color_rgba.hpp>
 #include <visualization_msgs/msg/marker_array.hpp>
 
-namespace yabloc
-{
-namespace modularized_particle_filter
+namespace yabloc::modularized_particle_filter
 {
 class ParticleVisualizer
 {
@@ -37,9 +35,7 @@ class ParticleVisualizer
 
 private:
   rclcpp::Publisher<MarkerArray>::SharedPtr pub_marker_array_;
-  std_msgs::msg::ColorRGBA compute_color(float value);
 };
-}  // namespace modularized_particle_filter
-}  // namespace yabloc
+}  // namespace yabloc::modularized_particle_filter
 
 #endif  // YABLOC_PARTICLE_FILTER__COMMON__VISUALIZE_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/abstract_corrector.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/abstract_corrector.hpp
index 31363742576fd..33802bd666440 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/abstract_corrector.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/abstract_corrector.hpp
@@ -26,9 +26,7 @@
 #include <optional>
 #include <string>
 
-namespace yabloc
-{
-namespace modularized_particle_filter
+namespace yabloc::modularized_particle_filter
 {
 class AbstractCorrector : public rclcpp::Node
 {
@@ -36,7 +34,7 @@ class AbstractCorrector : public rclcpp::Node
   using Particle = yabloc_particle_filter::msg::Particle;
   using ParticleArray = yabloc_particle_filter::msg::ParticleArray;
 
-  explicit AbstractCorrector(const std::string & node_name);
+  explicit AbstractCorrector(const std::string & node_name, const rclcpp::NodeOptions & options);
 
 protected:
   const float acceptable_max_delay_;  // [sec]
@@ -55,7 +53,6 @@ class AbstractCorrector : public rclcpp::Node
 private:
   void on_particle_array(const ParticleArray & particle_array);
 };
-}  // namespace modularized_particle_filter
-}  // namespace yabloc
+}  // namespace yabloc::modularized_particle_filter
 
 #endif  // YABLOC_PARTICLE_FILTER__CORRECTION__ABSTRACT_CORRECTOR_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/correction_util.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/correction_util.hpp
deleted file mode 100644
index 2c2f10bf7ad2e..0000000000000
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/correction/correction_util.hpp
+++ /dev/null
@@ -1,35 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#ifndef YABLOC_PARTICLE_FILTER__CORRECTION__CORRECTION_UTIL_HPP_
-#define YABLOC_PARTICLE_FILTER__CORRECTION__CORRECTION_UTIL_HPP_
-
-#include "rclcpp/rclcpp.hpp"
-#include "yabloc_particle_filter/msg/particle_array.hpp"
-
-#include <boost/circular_buffer.hpp>
-
-#include <optional>
-
-namespace yabloc
-{
-namespace modularized_particle_filter
-{
-std::optional<yabloc_particle_filter::msg::ParticleArray> find_synced_particles(
-  boost::circular_buffer<yabloc_particle_filter::msg::ParticleArray> circular_buffer,
-  rclcpp::Time time);
-}
-}  // namespace yabloc
-
-#endif  // YABLOC_PARTICLE_FILTER__CORRECTION__CORRECTION_UTIL_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/gnss_particle_corrector.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/gnss_particle_corrector.hpp
index b5a8d40594ee8..05423a46ffbd7 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/gnss_particle_corrector.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/gnss_particle_corrector.hpp
@@ -38,7 +38,7 @@ class GnssParticleCorrector : public AbstractCorrector
   using MarkerArray = visualization_msgs::msg::MarkerArray;
   using Float32 = std_msgs::msg::Float32;
 
-  GnssParticleCorrector();
+  explicit GnssParticleCorrector(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
 
 private:
   const float mahalanobis_distance_threshold_;
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/weight_manager.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/weight_manager.hpp
index 791f65eb9b835..f22662a188355 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/weight_manager.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/gnss_corrector/weight_manager.hpp
@@ -35,41 +35,48 @@ struct WeightManager
     }
   };
 
-  Parameter for_fixed_;
-  Parameter for_not_fixed_;
+  Parameter for_fixed_{};
+  Parameter for_not_fixed_{};
 
   explicit WeightManager(rclcpp::Node * node)
   {
-    for_fixed_.flat_radius_ = node->declare_parameter<float>("for_fixed/flat_radius");
-    for_fixed_.max_radius_ = node->declare_parameter<float>("for_fixed/max_radius");
-    for_fixed_.min_weight_ = node->declare_parameter<float>("for_fixed/min_weight");
-    for_fixed_.max_weight_ = node->declare_parameter<float>("for_fixed/max_weight");
+    for_fixed_.flat_radius_ =
+      static_cast<float>(node->declare_parameter<float>("for_fixed/flat_radius"));
+    for_fixed_.max_radius_ =
+      static_cast<float>(node->declare_parameter<float>("for_fixed/max_radius"));
+    for_fixed_.min_weight_ =
+      static_cast<float>(node->declare_parameter<float>("for_fixed/min_weight"));
+    for_fixed_.max_weight_ =
+      static_cast<float>(node->declare_parameter<float>("for_fixed/max_weight"));
     for_fixed_.compute_coeff();
 
-    for_not_fixed_.flat_radius_ = node->declare_parameter<float>("for_not_fixed/flat_radius");
-    for_not_fixed_.max_radius_ = node->declare_parameter<float>("for_not_fixed/max_radius");
-    for_not_fixed_.min_weight_ = node->declare_parameter<float>("for_not_fixed/min_weight");
-    for_not_fixed_.max_weight_ = node->declare_parameter<float>("for_not_fixed/max_weight");
+    for_not_fixed_.flat_radius_ =
+      static_cast<float>(node->declare_parameter<float>("for_not_fixed/flat_radius"));
+    for_not_fixed_.max_radius_ =
+      static_cast<float>(node->declare_parameter<float>("for_not_fixed/max_radius"));
+    for_not_fixed_.min_weight_ =
+      static_cast<float>(node->declare_parameter<float>("for_not_fixed/min_weight"));
+    for_not_fixed_.max_weight_ =
+      static_cast<float>(node->declare_parameter<float>("for_not_fixed/max_weight"));
     for_not_fixed_.compute_coeff();
   }
 
-  float normal_pdf(float distance, const Parameter & param) const
+  [[nodiscard]] static float normal_pdf(float distance, const Parameter & param)
   {
     // NOTE: This is not exact normal distribution because of no scale factor depending on sigma
     float d = std::clamp(std::abs(distance) - param.flat_radius_, 0.f, param.max_radius_);
     return param.max_weight_ * std::exp(-param.coeff_ * d * d);
   }
 
-  float normal_pdf(float distance, bool is_rtk_fixed) const
+  [[nodiscard]] float normal_pdf(float distance, bool is_rtk_fixed) const
   {
     if (is_rtk_fixed) {
       return normal_pdf(distance, for_fixed_);
-    } else {
-      return normal_pdf(distance, for_not_fixed_);
     }
+    return normal_pdf(distance, for_not_fixed_);
   }
 
-  float inverse_normal_pdf(float prob, const Parameter & param) const
+  [[nodiscard]] static float inverse_normal_pdf(float prob, const Parameter & param)
   {
     prob = (param.max_weight_ - param.min_weight_) * prob + param.min_weight_;
 
@@ -78,13 +85,12 @@ struct WeightManager
     return param.flat_radius_ + std::sqrt(-std::log(prob / param.max_weight_) / param.coeff_);
   }
 
-  float inverse_normal_pdf(float prob, bool is_rtk_fixed) const
+  [[nodiscard]] float inverse_normal_pdf(float prob, bool is_rtk_fixed) const
   {
     if (is_rtk_fixed) {
       return inverse_normal_pdf(prob, for_fixed_);
-    } else {
-      return inverse_normal_pdf(prob, for_not_fixed_);
     }
+    return inverse_normal_pdf(prob, for_not_fixed_);
   }
 };
 }  // namespace yabloc::modularized_particle_filter
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/direct_cost_map.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/direct_cost_map.hpp
index 5f56b8f079cd1..8169719a21f3b 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/direct_cost_map.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/direct_cost_map.hpp
@@ -20,9 +20,6 @@
 namespace yabloc
 {
 cv::Mat direct_cost_map(const cv::Mat & cost_map, const cv::Mat & intensity);
-
-cv::Mat visualize_direction_map(const cv::Mat & cost_map);
-
 }  // namespace yabloc
 
 #endif  // YABLOC_PARTICLE_FILTER__LL2_COST_MAP__DIRECT_COST_MAP_HPP_
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/hierarchical_cost_map.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/hierarchical_cost_map.hpp
index 32d579c4ab595..d6cc4553e29bc 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/hierarchical_cost_map.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/ll2_cost_map/hierarchical_cost_map.hpp
@@ -37,34 +37,37 @@ namespace yabloc
 {
 struct Area
 {
-  Area() {}
+  Area() = default;
   explicit Area(const Eigen::Vector2f & v)
   {
-    if (unit_length_ < 0) {
+    if (unit_length < 0) {
       throw_error();
     }
-    x = static_cast<int>(std::floor(v.x() / unit_length_));
-    y = static_cast<int>(std::floor(v.y() / unit_length_));
+    x = static_cast<int>(std::floor(v.x() / unit_length));
+    y = static_cast<int>(std::floor(v.y() / unit_length));
   }
 
-  Eigen::Vector2f real_scale() const { return {x * unit_length_, y * unit_length_}; }
+  [[nodiscard]] Eigen::Vector2f real_scale() const
+  {
+    return {static_cast<float>(x) * unit_length, static_cast<float>(y) * unit_length};
+  }
 
-  std::array<Eigen::Vector2f, 2> real_scale_boundary() const
+  [[nodiscard]] std::array<Eigen::Vector2f, 2> real_scale_boundary() const
   {
     std::array<Eigen::Vector2f, 2> boundary;
     boundary.at(0) = real_scale();
-    boundary.at(1) = real_scale() + Eigen::Vector2f(unit_length_, unit_length_);
+    boundary.at(1) = real_scale() + Eigen::Vector2f(unit_length, unit_length);
     return boundary;
   };
 
-  void throw_error() const
+  static void throw_error()
   {
     std::cerr << "Area::unit_length_ is not initialized" << std::endl;
     throw std::runtime_error("invalid Area::unit_length");
   }
-  int x, y;
-  static float unit_length_;
-  static float image_size_;
+  int x{}, y{};
+  static float unit_length;
+  static float image_size;
 
   friend bool operator==(const Area & one, const Area & other)
   {
@@ -129,7 +132,7 @@ class HierarchicalCostMap
   rclcpp::Logger logger_;
   std::optional<float> height_{std::nullopt};
 
-  common::GammaConverter gamma_converter{4.0f};
+  common::GammaConverter gamma_converter_{4.0f};
 
   std::unordered_map<Area, bool, Area> map_accessed_;
 
@@ -138,7 +141,7 @@ class HierarchicalCostMap
   std::vector<BgPolygon> bounding_boxes_;
   std::unordered_map<Area, cv::Mat, Area> cost_maps_;
 
-  cv::Point to_cv_point(const Area & are, const Eigen::Vector2f) const;
+  cv::Point to_cv_point(const Area & area, const Eigen::Vector2f & p) const;
   void build_map(const Area & area);
 
   cv::Mat create_available_area_image(const Area & area) const;
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/predictor.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/predictor.hpp
index e02393ee14db6..b619ed524affd 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/predictor.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/predictor.hpp
@@ -49,7 +49,7 @@ class Predictor : public rclcpp::Node
   using Marker = visualization_msgs::msg::Marker;
   using SetBool = std_srvs::srv::SetBool;
 
-  Predictor();
+  explicit Predictor(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
 
 private:
   // The number of particles of particle filter
@@ -106,7 +106,7 @@ class Predictor : public rclcpp::Node
   void initialize_particles(const PoseCovStamped & initialpose);
   //
   void update_with_dynamic_noise(
-    ParticleArray & particle_array, const TwistCovStamped & twist, double dt);
+    ParticleArray & particle_array, const TwistCovStamped & twist, double dt) const;
   //
   void publish_mean_pose(const geometry_msgs::msg::Pose & mean_pose, const rclcpp::Time & stamp);
   void publish_range_marker(const Eigen::Vector3f & pos, const Eigen::Vector3f & tangent);
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampler.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampler.hpp
index f2a517216020a..7b3aa8553f90e 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampler.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampler.hpp
@@ -22,10 +22,10 @@
 
 namespace yabloc::modularized_particle_filter
 {
-class resampling_skip_exception : public std::runtime_error
+class ResamplingSkipException : public std::runtime_error
 {
 public:
-  explicit resampling_skip_exception(const char * message) : runtime_error(message) {}
+  explicit ResamplingSkipException(const char * message) : runtime_error(message) {}
 };
 
 class RetroactiveResampler
@@ -56,9 +56,10 @@ class RetroactiveResampler
   int latest_resampling_generation_;
 
   // Random generator from 0 to 1
-  double random_from_01_uniformly() const;
+  [[nodiscard]] static double random_from_01_uniformly();
   // Check the sanity of the particles obtained from the particle corrector.
-  bool check_weighted_particles_validity(const ParticleArray & weighted_particles) const;
+  [[nodiscard]] bool check_weighted_particles_validity(
+    const ParticleArray & weighted_particles) const;
 };
 }  // namespace yabloc::modularized_particle_filter
 
diff --git a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampling_history.hpp b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampling_history.hpp
index 5b24ee96d6df5..6c1e9737c3f0d 100644
--- a/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampling_history.hpp
+++ b/localization/yabloc/yabloc_particle_filter/include/yabloc_particle_filter/prediction/resampling_history.hpp
@@ -35,7 +35,7 @@ class ResamplingHistory
     }
   }
 
-  bool check_history_validity() const
+  [[nodiscard]] bool check_history_validity() const
   {
     for (auto & generation : resampling_history_) {
       bool result = std::any_of(generation.begin(), generation.end(), [this](int x) {
diff --git a/localization/yabloc/yabloc_particle_filter/launch/yabloc_particle_filter.launch.xml b/localization/yabloc/yabloc_particle_filter/launch/yabloc_particle_filter.launch.xml
index 5dd483f142174..b544a6c2516ca 100644
--- a/localization/yabloc/yabloc_particle_filter/launch/yabloc_particle_filter.launch.xml
+++ b/localization/yabloc/yabloc_particle_filter/launch/yabloc_particle_filter.launch.xml
@@ -4,7 +4,7 @@
   <arg name="twist_cov_for_prediction" default="/localization/twist_estimator/twist_with_covariance"/>
   <let name="output_weighted_particles" value="weighted_particles"/>
   <let name="output_particles_marker_array" value="predicted_particles_marker"/>
-  <node pkg="yabloc_particle_filter" exec="predictor_node" name="particle_predictor" output="screen" args="--ros-args --log-level info">
+  <node pkg="yabloc_particle_filter" exec="yabloc_predictor_node" output="both">
     <param from="$(var predictor_param_path)"/>
 
     <remap from="~/input/initialpose" to="$(var input_initialpose)"/>
@@ -25,7 +25,7 @@
   <arg name="input_projected_line_segments_cloud" default="/localization/pose_estimator/yabloc/image_processing/projected_line_segments_cloud"/>
   <arg name="input_ll2_road_marking" default="/localization/pose_estimator/yabloc/map/ll2_road_marking"/>
   <arg name="input_ll2_bounding_box" default="/localization/pose_estimator/yabloc/map/ll2_bounding_box"/>
-  <node pkg="yabloc_particle_filter" exec="camera_particle_corrector_node" name="camera_corrector" output="screen" args="--ros-args --log-level warn">
+  <node pkg="yabloc_particle_filter" exec="yabloc_camera_particle_corrector_node" output="both">
     <param from="$(var camera_particle_corrector_param_path)"/>
 
     <remap from="~/input/predicted_particles" to="predicted_particles"/>
@@ -46,7 +46,7 @@
   </node>
 
   <!-- gnss correction -->
-  <node pkg="yabloc_particle_filter" exec="gnss_particle_corrector_node" name="gnss_corrector" output="screen" args="--ros-args --log-level warn">
+  <node pkg="yabloc_particle_filter" exec="yabloc_gnss_particle_corrector_node" output="both">
     <param from="$(var gnss_particle_corrector_param_path)"/>
 
     <remap from="~/input/predicted_particles" to="predicted_particles"/>
diff --git a/localization/yabloc/yabloc_particle_filter/package.xml b/localization/yabloc/yabloc_particle_filter/package.xml
index 66c0d8af8865c..8e2b98d10931b 100644
--- a/localization/yabloc/yabloc_particle_filter/package.xml
+++ b/localization/yabloc/yabloc_particle_filter/package.xml
@@ -17,9 +17,10 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>rosidl_default_generators</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
-  <depend>glog</depend>
   <depend>rclcpp</depend>
+  <depend>rclcpp_components</depend>
   <depend>sensor_msgs</depend>
   <depend>sophus</depend>
   <depend>std_msgs</depend>
@@ -27,7 +28,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
   <depend>yabloc_common</depend>
 
diff --git a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_core.cpp b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_core.cpp
index e28d70fddc246..d6a38e7b97b96 100644
--- a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_core.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_core.cpp
@@ -15,9 +15,9 @@
 #include "yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp"
 #include "yabloc_particle_filter/camera_corrector/logit.hpp"
 
+#include <autoware/universe_utils/math/trigonometry.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <opencv4/opencv2/imgproc.hpp>
-#include <tier4_autoware_utils/math/trigonometry.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 #include <yabloc_common/color.hpp>
 #include <yabloc_common/pose_conversions.hpp>
 #include <yabloc_common/pub_sub.hpp>
@@ -25,13 +25,15 @@
 
 #include <pcl_conversions/pcl_conversions.h>
 
+#include <cmath>
+
 namespace yabloc::modularized_particle_filter
 {
 
-CameraParticleCorrector::CameraParticleCorrector()
-: AbstractCorrector("camera_particle_corrector"),
-  min_prob_(declare_parameter<float>("min_prob")),
-  far_weight_gain_(declare_parameter<float>("far_weight_gain")),
+CameraParticleCorrector::CameraParticleCorrector(const rclcpp::NodeOptions & options)
+: AbstractCorrector("camera_particle_corrector", options),
+  min_prob_(static_cast<float>(declare_parameter<float>("min_prob"))),
+  far_weight_gain_(static_cast<float>(declare_parameter<float>("far_weight_gain"))),
   cost_map_(this)
 {
   using std::placeholders::_1;
@@ -98,7 +100,8 @@ CameraParticleCorrector::split_line_segments(const PointCloud2 & msg)
 {
   LineSegments all_line_segments_cloud;
   pcl::fromROSMsg(msg, all_line_segments_cloud);
-  LineSegments reliable_cloud, iffy_cloud;
+  LineSegments reliable_cloud;
+  LineSegments iffy_cloud;
   {
     for (const auto & p : all_line_segments_cloud) {
       if (p.label == 0)
@@ -111,7 +114,7 @@ CameraParticleCorrector::split_line_segments(const PointCloud2 & msg)
   auto [good_cloud, bad_cloud] = filt(iffy_cloud);
   {
     cv::Mat debug_image = cv::Mat::zeros(800, 800, CV_8UC3);
-    auto draw = [&debug_image](LineSegments & cloud, cv::Scalar color) -> void {
+    auto draw = [&debug_image](const LineSegments & cloud, const cv::Scalar & color) -> void {
       for (const auto & line : cloud) {
         const Eigen::Vector3f p1 = line.getVector3fMap();
         const Eigen::Vector3f p2 = line.getNormalVector3fMap();
@@ -130,7 +133,7 @@ CameraParticleCorrector::split_line_segments(const PointCloud2 & msg)
 
 void CameraParticleCorrector::on_line_segments(const PointCloud2 & line_segments_msg)
 {
-  tier4_autoware_utils::StopWatch stop_watch;
+  autoware::universe_utils::StopWatch stop_watch;
   const rclcpp::Time stamp = line_segments_msg.header.stamp;
   std::optional<ParticleArray> opt_array = this->get_synchronized_particle_array(stamp);
   if (!opt_array.has_value()) {
@@ -162,7 +165,7 @@ void CameraParticleCorrector::on_line_segments(const PointCloud2 & line_segments
     }
   }
 
-  cost_map_.set_height(mean_pose.position.z);
+  cost_map_.set_height(static_cast<float>(mean_pose.position.z));
 
   if (publish_weighted_particles) {
     for (auto & particle : weighted_particles.particles) {
@@ -187,8 +190,7 @@ void CameraParticleCorrector::on_line_segments(const PointCloud2 & line_segments
 
   // DEBUG: just visualization
   {
-    Pose mean_pose = get_mean_pose(weighted_particles);
-    Sophus::SE3f transform = common::pose_to_se3(mean_pose);
+    Sophus::SE3f transform = common::pose_to_se3(get_mean_pose(weighted_particles));
 
     pcl::PointCloud<pcl::PointXYZI> cloud = evaluate_cloud(
       common::transform_line_segments(line_segments_cloud, transform), transform.translation());
@@ -199,20 +201,19 @@ void CameraParticleCorrector::on_line_segments(const PointCloud2 & line_segments
     pcl::PointCloud<pcl::PointXYZRGB> rgb_cloud;
     pcl::PointCloud<pcl::PointXYZRGB> rgb_iffy_cloud;
 
-    float max_score = 0;
-    for (const auto p : cloud) {
-      max_score = std::max(max_score, std::abs(p.intensity));
-    }
+    float max_score = std::accumulate(
+      cloud.begin(), cloud.end(), 0.0f,
+      [](float max_score, const auto & p) { return std::max(max_score, std::abs(p.intensity)); });
     for (const auto p : cloud) {
       pcl::PointXYZRGB rgb;
       rgb.getVector3fMap() = p.getVector3fMap();
-      rgb.rgba = common::color_scale::blue_red(p.intensity / max_score);
+      rgb.rgba = static_cast<uint32_t>(common::color_scale::blue_red(p.intensity / max_score));
       rgb_cloud.push_back(rgb);
     }
     for (const auto p : iffy_cloud) {
       pcl::PointXYZRGB rgb;
       rgb.getVector3fMap() = p.getVector3fMap();
-      rgb.rgba = common::color_scale::blue_red(p.intensity / max_score);
+      rgb.rgba = static_cast<uint32_t>(common::color_scale::blue_red(p.intensity / max_score));
       rgb_iffy_cloud.push_back(rgb);
     }
 
@@ -256,9 +257,9 @@ void CameraParticleCorrector::on_ll2(const PointCloud2 & ll2_msg)
 
 float abs_cos(const Eigen::Vector3f & t, float deg)
 {
-  const float radian = deg * M_PI / 180.0;
+  const auto radian = static_cast<float>(deg * M_PI / 180.0);
   Eigen::Vector2f x(t.x(), t.y());
-  Eigen::Vector2f y(tier4_autoware_utils::cos(radian), tier4_autoware_utils::sin(radian));
+  Eigen::Vector2f y(autoware::universe_utils::cos(radian), autoware::universe_utils::sin(radian));
   x.normalize();
   return std::abs(x.dot(y));
 }
@@ -276,7 +277,7 @@ float CameraParticleCorrector::compute_logit(
 
       // NOTE: Close points are prioritized
       float squared_norm = (p - self_position).topRows(2).squaredNorm();
-      float gain = exp(-far_weight_gain_ * squared_norm);  // 0 < gain < 1
+      float gain = std::exp(-far_weight_gain_ * squared_norm);  // 0 < gain < 1
 
       const CostMapValue v3 = cost_map_.at(p.topRows(2));
 
@@ -285,9 +286,10 @@ float CameraParticleCorrector::compute_logit(
         continue;
       }
       if (pn.label == 0) {  // posteriori
-        logit += 0.2f * gain * (abs_cos(tangent, v3.angle) * v3.intensity - 0.5f);
+        logit +=
+          0.2f * gain * (abs_cos(tangent, static_cast<float>(v3.angle)) * v3.intensity - 0.5f);
       } else {  // apriori
-        logit += gain * (abs_cos(tangent, v3.angle) * v3.intensity - 0.5f);
+        logit += gain * (abs_cos(tangent, static_cast<float>(v3.angle)) * v3.intensity - 0.5f);
       }
     }
   }
@@ -307,11 +309,14 @@ pcl::PointCloud<pcl::PointXYZI> CameraParticleCorrector::evaluate_cloud(
 
       // NOTE: Close points are prioritized
       float squared_norm = (p - self_position).topRows(2).squaredNorm();
-      float gain = std::exp(-far_weight_gain_ * squared_norm);
 
       CostMapValue v3 = cost_map_.at(p.topRows(2));
       float logit = 0;
-      if (!v3.unmapped) logit = gain * (abs_cos(tangent, v3.angle) * v3.intensity - 0.5f);
+      if (!v3.unmapped) {
+        float gain = std::exp(-far_weight_gain_ * squared_norm);
+
+        logit = gain * (abs_cos(tangent, static_cast<float>(v3.angle)) * v3.intensity - 0.5f);
+      }
 
       pcl::PointXYZI xyzi(logit_to_prob(logit, 10.f));
       xyzi.getVector3fMap() = p;
@@ -321,3 +326,6 @@ pcl::PointCloud<pcl::PointXYZI> CameraParticleCorrector::evaluate_cloud(
   return cloud;
 }
 }  // namespace yabloc::modularized_particle_filter
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(yabloc::modularized_particle_filter::CameraParticleCorrector)
diff --git a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_node.cpp b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_node.cpp
deleted file mode 100644
index 01378f05a0ac8..0000000000000
--- a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/camera_particle_corrector_node.cpp
+++ /dev/null
@@ -1,31 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_particle_filter/camera_corrector/camera_particle_corrector.hpp"
-
-#include <glog/logging.h>
-
-int main(int argc, char * argv[])
-{
-  if (!google::IsGoogleLoggingInitialized()) {
-    google::InitGoogleLogging(argv[0]);
-    google::InstallFailureSignalHandler();
-  }
-
-  namespace mpf = yabloc::modularized_particle_filter;
-  rclcpp::init(argc, argv);
-  rclcpp::spin(std::make_shared<mpf::CameraParticleCorrector>());
-  rclcpp::shutdown();
-  return 0;
-}
diff --git a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/filter_line_segments.cpp b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/filter_line_segments.cpp
index 3f782d85aec43..105f72920a6de 100644
--- a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/filter_line_segments.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/filter_line_segments.cpp
@@ -22,33 +22,35 @@
 
 namespace yabloc::modularized_particle_filter
 {
-cv::Point2f cv2pt(const Eigen::Vector3f v)
+cv::Point2f cv2pt(const Eigen::Vector3f & v)
 {
-  const float METRIC_PER_PIXEL = 0.05;
-  const float IMAGE_RADIUS = 400;
-  return {-v.y() / METRIC_PER_PIXEL + IMAGE_RADIUS, -v.x() / METRIC_PER_PIXEL + 2 * IMAGE_RADIUS};
+  const float metric_per_pixel = 0.05;
+  const float image_radius = 400;
+  return {-v.y() / metric_per_pixel + image_radius, -v.x() / metric_per_pixel + 2 * image_radius};
 }
 
 float normalized_atan2(const Eigen::Vector3f & t, float deg)
 {
-  float diff = std::atan2(t.y(), t.x()) - deg * M_PI / 180;
-  diff = std::fmod(diff, M_PI);
+  auto diff = static_cast<float>(std::atan2(t.y(), t.x()) - deg * M_PI / 180);
+  diff = static_cast<float>(std::fmod(diff, M_PI));
 
   if (diff < 0) diff = -diff;
 
   if (diff < M_PI_2) {
-    return 1 - diff / M_PI_2;
-  } else if (diff < M_PI) {
-    return diff / M_PI_2 - 1;
-  } else {
-    throw std::runtime_error("invalid cos");
+    return static_cast<float>(1.0 - diff / M_PI_2);
   }
+
+  if (diff < M_PI) {
+    return static_cast<float>(diff / M_PI_2 - 1.0);
+  }
+  throw std::runtime_error("invalid cos");
 }
 
 std::pair<CameraParticleCorrector::LineSegments, CameraParticleCorrector::LineSegments>
 CameraParticleCorrector::filt(const LineSegments & iffy_lines)
 {
-  LineSegments good, bad;
+  LineSegments good;
+  LineSegments bad;
   if (!latest_pose_.has_value()) {
     throw std::runtime_error("latest_pose_ is nullopt");
   }
@@ -67,7 +69,7 @@ CameraParticleCorrector::filt(const LineSegments & iffy_lines)
     for (float distance = 0; distance < length; distance += 0.1f) {
       Eigen::Vector3f px = pose * (p2 + tangent * distance);
       CostMapValue v3 = cost_map_.at(px.topRows(2));
-      float cos2 = normalized_atan2(pose.so3() * tangent, v3.angle);
+      float cos2 = normalized_atan2(pose.so3() * tangent, static_cast<float>(v3.angle));
       score += (cos2 * v3.intensity);
       count++;
 
@@ -77,7 +79,7 @@ CameraParticleCorrector::filt(const LineSegments & iffy_lines)
       // rgb_cloud.push_back(rgb);
     }
 
-    if (score / count > 0.5f) {
+    if (score / static_cast<float>(count) > 0.5f) {
       good.push_back(line);
     } else {
       bad.push_back(line);
diff --git a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/logit.cpp b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/logit.cpp
index d8bb5690b6fc4..65b7039e25051 100644
--- a/localization/yabloc/yabloc_particle_filter/src/camera_corrector/logit.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/camera_corrector/logit.cpp
@@ -27,7 +27,7 @@ struct ProbToLogitTable
   ProbToLogitTable()
   {
     for (int i = 0; i < 100; ++i) {
-      float p = i / 100.0f;
+      float p = static_cast<float>(i) / 100.0f;
       table_.at(i) = std::log(p / std::max(1 - p, 1e-6f));
     }
   }
@@ -37,7 +37,7 @@ struct ProbToLogitTable
     return table_.at(index);
   }
 
-  std::array<float, 100> table_;
+  std::array<float, 100> table_{};
 } prob_to_logit_table;
 
 }  // namespace
@@ -47,9 +47,4 @@ float logit_to_prob(float logit, float gain)
   return 1.f / (1 + std::exp(-gain * logit));
 }
 
-float prob_to_logit(float prob)
-{
-  return prob_to_logit_table(prob);
-}
-
 }  // namespace yabloc
diff --git a/localization/yabloc/yabloc_particle_filter/src/common/mean.cpp b/localization/yabloc/yabloc_particle_filter/src/common/mean.cpp
index 0710c8c4dca64..1a0ef05508c76 100644
--- a/localization/yabloc/yabloc_particle_filter/src/common/mean.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/common/mean.cpp
@@ -70,7 +70,9 @@ geometry_msgs::msg::Pose get_mean_pose(
     mean_pose.position.y += particle.pose.position.y * normalized_weight;
     mean_pose.position.z += particle.pose.position.z * normalized_weight;
 
-    double yaw{0.0}, pitch{0.0}, roll{0.0};
+    double yaw{0.0};
+    double pitch{0.0};
+    double roll{0.0};
     tf2::getEulerYPR(particle.pose.orientation, yaw, pitch, roll);
 
     rolls.push_back(roll);
@@ -93,43 +95,25 @@ Eigen::Matrix3f std_of_distribution(const yabloc_particle_filter::msg::ParticleA
 {
   using Particle = yabloc_particle_filter::msg::Particle;
   auto ori = get_mean_pose(array).orientation;
-  Eigen::Quaternionf orientation(ori.w, ori.x, ori.y, ori.z);
-  float invN = 1.f / array.particles.size();
+  Eigen::Quaternionf orientation(
+    static_cast<float>(ori.w), static_cast<float>(ori.x), static_cast<float>(ori.y),
+    static_cast<float>(ori.z));
+  float inv_n = 1.f / static_cast<float>(array.particles.size());
   Eigen::Vector3f mean = Eigen::Vector3f::Zero();
   for (const Particle & p : array.particles) {
     Eigen::Affine3f affine = common::pose_to_affine(p.pose);
     mean += affine.translation();
   }
-  mean *= invN;
+  mean *= inv_n;
 
   Eigen::Matrix3f sigma = Eigen::Matrix3f::Zero();
   for (const Particle & p : array.particles) {
     Eigen::Affine3f affine = common::pose_to_affine(p.pose);
     Eigen::Vector3f d = affine.translation() - mean;
     d = orientation.conjugate() * d;
-    sigma += (d * d.transpose()) * invN;
+    sigma += (d * d.transpose()) * inv_n;
   }
 
   return sigma;
 }
-
-float std_of_weight(const yabloc_particle_filter::msg::ParticleArray & particle_array)
-{
-  using Particle = yabloc_particle_filter::msg::Particle;
-
-  const float invN = 1.f / particle_array.particles.size();
-  float mean = 0;
-  for (const Particle & p : particle_array.particles) {
-    mean += p.weight;
-  }
-  mean *= invN;
-
-  float sigma = 0.0;
-  for (const Particle & p : particle_array.particles) {
-    sigma += (p.weight - mean) * (p.weight - mean);
-  }
-  sigma *= invN;
-
-  return std::sqrt(sigma);
-}
 }  // namespace yabloc::modularized_particle_filter
diff --git a/localization/yabloc/yabloc_particle_filter/src/common/particle_visualize_node.cpp b/localization/yabloc/yabloc_particle_filter/src/common/particle_visualize_node.cpp
index e6e59a836f6db..48f2041595a77 100644
--- a/localization/yabloc/yabloc_particle_filter/src/common/particle_visualize_node.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/common/particle_visualize_node.cpp
@@ -30,7 +30,8 @@ class ParticleVisualize : public rclcpp::Node
   using Marker = visualization_msgs::msg::Marker;
   using MarkerArray = visualization_msgs::msg::MarkerArray;
 
-  ParticleVisualize() : Node("particle_visualize")
+  explicit ParticleVisualize(const rclcpp::NodeOptions & options = rclcpp::NodeOptions())
+  : Node("particle_visualize", options)
   {
     using std::placeholders::_1;
     // Subscriber
@@ -38,36 +39,12 @@ class ParticleVisualize : public rclcpp::Node
       "/particle_array", 10, std::bind(&ParticleVisualize::on_particles, this, _1));
 
     // Publisher
-    pub_marker_array = this->create_publisher<MarkerArray>("/marker_array", 10);
+    pub_marker_array_ = this->create_publisher<MarkerArray>("/marker_array", 10);
   }
 
 private:
   rclcpp::Subscription<ParticleArray>::SharedPtr sub_particles_;
-  rclcpp::Publisher<MarkerArray>::SharedPtr pub_marker_array;
-
-  std_msgs::msg::ColorRGBA compute_color(float value) const
-  {
-    float r = 1.0f, g = 1.0f, b = 1.0f;
-    // clang-format off
-    value = std::clamp(value, 0.0f, 1.0f);
-    if (value < 0.25f) {
-      r = 0; g = 4 * (value);
-    } else if (value < 0.5f) {
-      r = 0; b = 1 + 4 * (0.25f - value);
-    } else if (value < 0.75f) {
-      r = 4 * (value - 0.5f); b = 0;
-    } else {
-      g = 1 + 4 * (0.75f - value); b = 0;
-    }
-    // clang-format on
-
-    std_msgs::msg::ColorRGBA rgba;
-    rgba.r = r;
-    rgba.g = g;
-    rgba.b = b;
-    rgba.a = 1.0f;
-    return rgba;
-  }
+  rclcpp::Publisher<MarkerArray>::SharedPtr pub_marker_array_;
 
   void on_particles(const ParticleArray & msg)
   {
@@ -101,16 +78,10 @@ class ParticleVisualize : public rclcpp::Node
       marker.pose.position.z = p.pose.position.z;
       marker_array.markers.push_back(marker);
     }
-    pub_marker_array->publish(marker_array);
+    pub_marker_array_->publish(marker_array);
   }
 };
 }  // namespace yabloc::modularized_particle_filter
 
-int main(int argc, char * argv[])
-{
-  rclcpp::init(argc, argv);
-
-  rclcpp::spin(std::make_shared<yabloc::modularized_particle_filter::ParticleVisualize>());
-  rclcpp::shutdown();
-  return 0;
-}
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(yabloc::modularized_particle_filter::ParticleVisualize)
diff --git a/localization/yabloc/yabloc_particle_filter/src/common/visualize.cpp b/localization/yabloc/yabloc_particle_filter/src/common/visualize.cpp
index 888baf0bea0ac..17b22757b4bc5 100644
--- a/localization/yabloc/yabloc_particle_filter/src/common/visualize.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/common/visualize.cpp
@@ -33,7 +33,7 @@ void ParticleVisualizer::publish(const ParticleArray & msg)
   float min = minmax_weight.first->weight;
   float max = minmax_weight.second->weight;
   max = std::max(max, min + 1e-7f);
-  auto boundWeight = [min, max](float raw) -> float { return (raw - min) / (max - min); };
+  auto bound_weight = [min, max](float raw) -> float { return (raw - min) / (max - min); };
 
   int id = 0;
   for (const Particle & p : msg.particles) {
@@ -46,7 +46,7 @@ void ParticleVisualizer::publish(const ParticleArray & msg)
     marker.scale.y = 0.1;
     marker.scale.z = 0.1;
     marker.color =
-      static_cast<std_msgs::msg::ColorRGBA>(common::color_scale::rainbow(boundWeight(p.weight)));
+      static_cast<std_msgs::msg::ColorRGBA>(common::color_scale::rainbow(bound_weight(p.weight)));
     marker.pose.orientation = p.pose.orientation;
     marker.pose.position.x = p.pose.position.x;
     marker.pose.position.y = p.pose.position.y;
diff --git a/localization/yabloc/yabloc_particle_filter/src/correction/abstract_corrector.cpp b/localization/yabloc/yabloc_particle_filter/src/correction/abstract_corrector.cpp
index f8db1a561f333..1c8e2f5976a1d 100644
--- a/localization/yabloc/yabloc_particle_filter/src/correction/abstract_corrector.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/correction/abstract_corrector.cpp
@@ -16,9 +16,10 @@
 
 namespace yabloc::modularized_particle_filter
 {
-AbstractCorrector::AbstractCorrector(const std::string & node_name)
-: Node(node_name),
-  acceptable_max_delay_(declare_parameter<float>("acceptable_max_delay")),
+AbstractCorrector::AbstractCorrector(
+  const std::string & node_name, const rclcpp::NodeOptions & options)
+: Node(node_name, options),
+  acceptable_max_delay_(static_cast<float>(declare_parameter<float>("acceptable_max_delay"))),
   visualize_(declare_parameter<bool>("visualize")),
   logger_(rclcpp::get_logger("abstract_corrector"))
 {
diff --git a/localization/yabloc/yabloc_particle_filter/src/correction/correction_util.cpp b/localization/yabloc/yabloc_particle_filter/src/correction/correction_util.cpp
deleted file mode 100644
index 67ca4f5add947..0000000000000
--- a/localization/yabloc/yabloc_particle_filter/src/correction/correction_util.cpp
+++ /dev/null
@@ -1,38 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_particle_filter/correction/correction_util.hpp"
-
-namespace yabloc::modularized_particle_filter
-{
-std::optional<yabloc_particle_filter::msg::ParticleArray> find_synced_particles(
-  boost::circular_buffer<yabloc_particle_filter::msg::ParticleArray> circular_buffer,
-  rclcpp::Time time)
-{
-  for (int i{1}; i < static_cast<int>(circular_buffer.size()); i++) {
-    if (rclcpp::Time(circular_buffer[i].header.stamp) < time) {
-      return circular_buffer[i];
-    }
-  }
-  if (0 < static_cast<int>(circular_buffer.size())) {
-    RCLCPP_WARN_STREAM(
-      rclcpp::get_logger("modularized_particle_filter.correction_util"),
-      "the sensor data is too old: "
-        << rclcpp::Time(circular_buffer[static_cast<int>(circular_buffer.size()) - 1].header.stamp)
-               .seconds() -
-             time.seconds());
-  }
-  return std::nullopt;
-}
-}  // namespace yabloc::modularized_particle_filter
diff --git a/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_core.cpp b/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_core.cpp
index e8c8890561a7f..1ccb24bfbea5c 100644
--- a/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_core.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_core.cpp
@@ -19,9 +19,10 @@
 
 namespace yabloc::modularized_particle_filter
 {
-GnssParticleCorrector::GnssParticleCorrector()
-: AbstractCorrector("gnss_particle_corrector"),
-  mahalanobis_distance_threshold_(declare_parameter<float>("mahalanobis_distance_threshold")),
+GnssParticleCorrector::GnssParticleCorrector(const rclcpp::NodeOptions & options)
+: AbstractCorrector("gnss_particle_corrector", options),
+  mahalanobis_distance_threshold_(
+    static_cast<float>(declare_parameter<float>("mahalanobis_distance_threshold"))),
   weight_manager_(this)
 {
   using std::placeholders::_1;
@@ -61,7 +62,8 @@ void GnssParticleCorrector::on_pose(const PoseCovStamped::ConstSharedPtr pose_ms
   const rclcpp::Time stamp = pose_msg->header.stamp;
   const auto & position = pose_msg->pose.pose.position;
   Eigen::Vector3f gnss_position;
-  gnss_position << position.x, position.y, position.z;
+  gnss_position << static_cast<float>(position.x), static_cast<float>(position.y),
+    static_cast<float>(position.z);
 
   constexpr bool is_rtk_fixed = false;
   process(gnss_position, stamp, is_rtk_fixed);
@@ -96,7 +98,6 @@ void GnssParticleCorrector::process(
   // Compute travel distance from last update position
   // If the distance is too short, skip weighting
   {
-    Eigen::Vector3f mean_position = common::pose_to_affine(mean_pose).translation();
     if ((mean_position - last_mean_position_).squaredNorm() > 1) {
       this->set_weighted_particle_array(weighted_particles);
       last_mean_position_ = mean_position;
@@ -113,12 +114,12 @@ void GnssParticleCorrector::publish_marker(const Eigen::Vector3f & position, boo
   using namespace std::literals::chrono_literals;
   using Point = geometry_msgs::msg::Point;
 
-  auto drawCircle = [](std::vector<Point> & points, float radius) -> void {
-    const int N = 10;
-    for (int theta = 0; theta < 2 * N + 1; theta++) {
+  auto draw_circle = [](std::vector<Point> & points, float radius) -> void {
+    const int n = 10;
+    for (int theta = 0; theta < 2 * n + 1; theta++) {
       geometry_msgs::msg::Point pt;
-      pt.x = radius * std::cos(theta * M_PI / N);
-      pt.y = radius * std::sin(theta * M_PI / N);
+      pt.x = radius * std::cos(theta * M_PI / n);
+      pt.y = radius * std::sin(theta * M_PI / n);
       points.push_back(pt);
     }
   };
@@ -135,11 +136,11 @@ void GnssParticleCorrector::publish_marker(const Eigen::Vector3f & position, boo
     marker.pose.position.y = position.y();
     marker.pose.position.z = latest_height_.data;
 
-    float prob = i / 4.0f;
+    float prob = static_cast<float>(i) / 4.0f;
     marker.color = static_cast<std_msgs::msg::ColorRGBA>(common::color_scale::rainbow(prob));
     marker.color.a = 0.5f;
     marker.scale.x = 0.1;
-    drawCircle(marker.points, weight_manager_.inverse_normal_pdf(prob, is_rtk_fixed));
+    draw_circle(marker.points, weight_manager_.inverse_normal_pdf(prob, is_rtk_fixed));
     array_msg.markers.push_back(marker);
   }
   marker_pub_->publish(array_msg);
@@ -151,7 +152,7 @@ GnssParticleCorrector::ParticleArray GnssParticleCorrector::weight_particles(
   ParticleArray weighted_particles{predicted_particles};
 
   for (auto & particle : weighted_particles.particles) {
-    float distance = static_cast<float>(
+    auto distance = static_cast<float>(
       std::hypot(particle.pose.position.x - pose.x(), particle.pose.position.y - pose.y()));
     particle.weight = weight_manager_.normal_pdf(distance, is_rtk_fixed);
   }
@@ -160,3 +161,6 @@ GnssParticleCorrector::ParticleArray GnssParticleCorrector::weight_particles(
 }
 
 }  // namespace yabloc::modularized_particle_filter
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(yabloc::modularized_particle_filter::GnssParticleCorrector)
diff --git a/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_node.cpp b/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_node.cpp
deleted file mode 100644
index 6d76fd295ac02..0000000000000
--- a/localization/yabloc/yabloc_particle_filter/src/gnss_corrector/gnss_corrector_node.cpp
+++ /dev/null
@@ -1,24 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_particle_filter/gnss_corrector/gnss_particle_corrector.hpp"
-
-int main(int argc, char * argv[])
-{
-  namespace mpf = yabloc::modularized_particle_filter;
-  rclcpp::init(argc, argv);
-  rclcpp::spin(std::make_shared<mpf::GnssParticleCorrector>());
-  rclcpp::shutdown();
-  return 0;
-}
diff --git a/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/direct_cost_map.cpp b/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/direct_cost_map.cpp
index 7da87e8050ebe..c6359a8c8f5fc 100644
--- a/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/direct_cost_map.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/direct_cost_map.cpp
@@ -18,14 +18,14 @@ namespace yabloc
 {
 cv::Mat direct_cost_map(const cv::Mat & cost_map, const cv::Mat & intensity)
 {
-  constexpr int MAX_INT = std::numeric_limits<int>::max();
+  constexpr int max_int = std::numeric_limits<int>::max();
 
   std::vector<std::vector<int>> distances;
   distances.resize(cost_map.rows);
   for (int i = 0; i < cost_map.rows; i++) {
     distances.at(i).resize(cost_map.cols);
-    std::fill(distances.at(i).begin(), distances.at(i).end(), MAX_INT);
-    const uchar * intensity_ptr = intensity.ptr<uchar>(i);
+    std::fill(distances.at(i).begin(), distances.at(i).end(), max_int);
+    const auto * intensity_ptr = intensity.ptr<uchar>(i);
     for (int j = 0; j < cost_map.cols; j++) {
       if (intensity_ptr[j] == 0) distances.at(i).at(j) = 0;
     }
@@ -36,7 +36,7 @@ cv::Mat direct_cost_map(const cv::Mat & cost_map, const cv::Mat & intensity)
   // Forward
   for (int r = 1; r < cost_map.rows; r++) {
     const uchar * upper_ptr = dst.ptr<uchar>(r - 1);
-    uchar * current_ptr = dst.ptr<uchar>(r);
+    auto * current_ptr = dst.ptr<uchar>(r);
 
     for (int c = 1; c < cost_map.cols; c++) {
       int up = distances.at(r - 1).at(c);
@@ -56,7 +56,7 @@ cv::Mat direct_cost_map(const cv::Mat & cost_map, const cv::Mat & intensity)
   // Backward
   for (int r = cost_map.rows - 2; r >= 0; r--) {
     const uchar * downer_ptr = dst.ptr<uchar>(r + 1);
-    uchar * current_ptr = dst.ptr<uchar>(r);
+    auto * current_ptr = dst.ptr<uchar>(r);
 
     for (int c = cost_map.cols - 2; c >= 0; c--) {
       int down = distances.at(r + 1).at(c);
@@ -76,24 +76,6 @@ cv::Mat direct_cost_map(const cv::Mat & cost_map, const cv::Mat & intensity)
   return dst;
 }
 
-cv::Mat visualize_direction_map(const cv::Mat & cost_map)
-{
-  cv::Mat s = 255 * cv::Mat::ones(cost_map.size(), CV_8UC1);
-  cv::Mat v = 255 * cv::Mat::ones(cost_map.size(), CV_8UC1);
-  cv::Mat hsv, rgb;
-  cv::merge(std::vector<cv::Mat>{cost_map, s, v}, hsv);
-  cv::cvtColor(hsv, rgb, cv::COLOR_HSV2BGR);
-
-  for (int r = 0; r < cost_map.rows; r++) {
-    const uchar * src_ptr = cost_map.ptr<uchar>(r);
-    cv::Vec3b * dst_ptr = rgb.ptr<cv::Vec3b>(r);
-    for (int c = 0; c < cost_map.cols; c++) {
-      if (src_ptr[c] == 0) dst_ptr[c] = cv::Vec3b(0, 0, 0);
-    }
-  }
-  return rgb;
-}
-
 }  // namespace yabloc
 
 // #include <opencv4/opencv2/highgui.hpp>
diff --git a/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/hierarchical_cost_map.cpp b/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/hierarchical_cost_map.cpp
index 62d8ed826b373..4f03e3d26ecb6 100644
--- a/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/hierarchical_cost_map.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/ll2_cost_map/hierarchical_cost_map.cpp
@@ -16,28 +16,28 @@
 
 #include "yabloc_particle_filter/ll2_cost_map/direct_cost_map.hpp"
 
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <opencv4/opencv2/highgui.hpp>
 #include <opencv4/opencv2/imgproc.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <boost/geometry/geometry.hpp>
 
 namespace yabloc
 {
-float Area::unit_length_ = -1;
+float Area::unit_length = -1;
 
 HierarchicalCostMap::HierarchicalCostMap(rclcpp::Node * node)
-: max_range_(node->declare_parameter<float>("max_range")),
-  image_size_(node->declare_parameter<int>("image_size")),
+: max_range_(static_cast<float>(node->declare_parameter<float>("max_range"))),
+  image_size_(static_cast<float>(node->declare_parameter<int>("image_size"))),
   max_map_count_(10),
   logger_(node->get_logger())
 {
-  Area::unit_length_ = max_range_;
-  float gamma = node->declare_parameter<float>("gamma");
-  gamma_converter.reset(gamma);
+  Area::unit_length = max_range_;
+  float gamma = static_cast<float>(node->declare_parameter<float>("gamma"));
+  gamma_converter_.reset(gamma);
 }
 
-cv::Point2i HierarchicalCostMap::to_cv_point(const Area & area, const Eigen::Vector2f p) const
+cv::Point2i HierarchicalCostMap::to_cv_point(const Area & area, const Eigen::Vector2f & p) const
 {
   Eigen::Vector2f relative = p - area.real_scale();
   float px = relative.x() / max_range_ * image_size_;
@@ -59,7 +59,7 @@ CostMapValue HierarchicalCostMap::at(const Eigen::Vector2f & position)
 
   cv::Point2i tmp = to_cv_point(key, position);
   cv::Vec3b b3 = cost_maps_.at(key).ptr<cv::Vec3b>(tmp.y)[tmp.x];
-  return {b3[0] / 255.f, b3[1], b3[2] == 1};
+  return {static_cast<float>(b3[0]) / 255.f, b3[1], b3[2] == 1};
 }
 
 void HierarchicalCostMap::set_height(float height)
@@ -103,10 +103,13 @@ void HierarchicalCostMap::build_map(const Area & area)
 {
   if (!cloud_.has_value()) return;
 
-  cv::Mat image = 255 * cv::Mat::ones(cv::Size(image_size_, image_size_), CV_8UC1);
-  cv::Mat orientation = cv::Mat::zeros(cv::Size(image_size_, image_size_), CV_8UC1);
+  cv::Mat image =
+    255 *
+    cv::Mat::ones(cv::Size(static_cast<int>(image_size_), static_cast<int>(image_size_)), CV_8UC1);
+  cv::Mat orientation =
+    cv::Mat::zeros(cv::Size(static_cast<int>(image_size_), static_cast<int>(image_size_)), CV_8UC1);
 
-  auto cvPoint = [this, area](const Eigen::Vector3f & p) -> cv::Point {
+  auto cv_point = [this, area](const Eigen::Vector3f & p) -> cv::Point {
     return this->to_cv_point(area, p.topRows(2));
   };
 
@@ -117,12 +120,12 @@ void HierarchicalCostMap::build_map(const Area & area)
       if (std::abs(pn.normal_z - *height_) > 4) continue;
     }
 
-    cv::Point2i from = cvPoint(pn.getVector3fMap());
-    cv::Point2i to = cvPoint(pn.getNormalVector3fMap());
+    cv::Point2i from = cv_point(pn.getVector3fMap());
+    cv::Point2i to = cv_point(pn.getNormalVector3fMap());
 
-    float radian = std::atan2(from.y - to.y, from.x - to.x);
+    auto radian = static_cast<float>(std::atan2(from.y - to.y, from.x - to.x));
     if (radian < 0) radian += M_PI;
-    float degree = radian * 180 / M_PI;
+    auto degree = static_cast<float>(radian * 180 / M_PI);
 
     cv::line(image, from, to, cv::Scalar::all(0), 1);
     cv::line(orientation, from, to, cv::Scalar::all(degree), 1);
@@ -142,7 +145,7 @@ void HierarchicalCostMap::build_map(const Area & area)
 
   cv::Mat directed_cost_map;
   cv::merge(
-    std::vector<cv::Mat>{gamma_converter(distance), whole_orientation, available_area},
+    std::vector<cv::Mat>{gamma_converter_(distance), whole_orientation, available_area},
     directed_cost_map);
 
   cost_maps_[area] = directed_cost_map;
@@ -169,13 +172,14 @@ HierarchicalCostMap::MarkerArray HierarchicalCostMap::show_map_range() const
     marker.header.frame_id = "map";
     marker.id = id++;
     marker.type = Marker::LINE_STRIP;
-    marker.color = tier4_autoware_utils::createMarkerColor(0, 0, 1.0f, 1.0f);
+    marker.color = autoware::universe_utils::createMarkerColor(0, 0, 1.0f, 1.0f);
     marker.scale.x = 0.1;
     Eigen::Vector2f xy = area.real_scale();
     marker.points.push_back(point_msg(xy.x(), xy.y()));
-    marker.points.push_back(point_msg(xy.x() + area.unit_length_, xy.y()));
-    marker.points.push_back(point_msg(xy.x() + area.unit_length_, xy.y() + area.unit_length_));
-    marker.points.push_back(point_msg(xy.x(), xy.y() + area.unit_length_));
+    marker.points.push_back(point_msg(xy.x() + yabloc::Area::unit_length, xy.y()));
+    marker.points.push_back(
+      point_msg(xy.x() + yabloc::Area::unit_length, xy.y() + yabloc::Area::unit_length));
+    marker.points.push_back(point_msg(xy.x(), xy.y() + yabloc::Area::unit_length));
     marker.points.push_back(point_msg(xy.x(), xy.y()));
     array_msg.markers.push_back(marker);
   }
@@ -188,27 +192,33 @@ cv::Mat HierarchicalCostMap::get_map_image(const Pose & pose)
   //   return cv::Mat::zeros(cv::Size(image_size_, image_size_), CV_8UC3);
 
   Eigen::Vector2f center;
-  center << pose.position.x, pose.position.y;
+  center << static_cast<float>(pose.position.x), static_cast<float>(pose.position.y);
 
-  float w = pose.orientation.w;
-  float z = pose.orientation.z;
-  Eigen::Matrix2f R = Eigen::Rotation2Df(2.f * std::atan2(z, w) - M_PI_2).toRotationMatrix();
+  auto w = static_cast<float>(pose.orientation.w);
+  auto z = static_cast<float>(pose.orientation.z);
+  Eigen::Matrix2f r =
+    Eigen::Rotation2Df(static_cast<float>(2.f * std::atan2(z, w) - M_PI_2)).toRotationMatrix();
 
-  auto toVector2f = [this, center, R](float h, float w) -> Eigen::Vector2f {
+  auto to_vector2f = [this, center, r](float h, float w) -> Eigen::Vector2f {
     Eigen::Vector2f offset;
     offset.x() = (w / this->image_size_ - 0.5f) * this->max_range_ * 1.5f;
     offset.y() = -(h / this->image_size_ - 0.5f) * this->max_range_ * 1.5f;
-    return center + R * offset;
+    return center + r * offset;
   };
 
-  cv::Mat image = cv::Mat::zeros(cv::Size(image_size_, image_size_), CV_8UC3);
-  for (int w = 0; w < image_size_; w++) {
-    for (int h = 0; h < image_size_; h++) {
-      CostMapValue v3 = this->at(toVector2f(h, w));
+  cv::Mat image =
+    cv::Mat::zeros(cv::Size(static_cast<int>(image_size_), static_cast<int>(image_size_)), CV_8UC3);
+  for (int w_index = 0; static_cast<float>(w_index) < image_size_; w_index++) {
+    for (int h_index = 0; static_cast<float>(h_index) < image_size_; h_index++) {
+      CostMapValue v3 =
+        this->at(to_vector2f(static_cast<float>(h_index), static_cast<float>(w_index)));
       if (v3.unmapped)
-        image.at<cv::Vec3b>(h, w) = cv::Vec3b(v3.angle, 255 * v3.intensity, 50);
+        image.at<cv::Vec3b>(h_index, w_index) =
+          cv::Vec3b(v3.angle, static_cast<unsigned char>(255 * v3.intensity), 50);
       else
-        image.at<cv::Vec3b>(h, w) = cv::Vec3b(v3.angle, 255 * v3.intensity, 255 * v3.intensity);
+        image.at<cv::Vec3b>(h_index, w_index) = cv::Vec3b(
+          v3.angle, static_cast<unsigned char>(255 * v3.intensity),
+          static_cast<unsigned char>(255 * v3.intensity));
     }
   }
 
@@ -235,7 +245,8 @@ void HierarchicalCostMap::erase_obsolete()
 
 cv::Mat HierarchicalCostMap::create_available_area_image(const Area & area) const
 {
-  cv::Mat available_area = cv::Mat::zeros(cv::Size(image_size_, image_size_), CV_8UC1);
+  cv::Mat available_area =
+    cv::Mat::zeros(cv::Size(static_cast<int>(image_size_), static_cast<int>(image_size_)), CV_8UC1);
   if (bounding_boxes_.empty()) return available_area;
 
   // Define current area
diff --git a/localization/yabloc/yabloc_particle_filter/src/prediction/predictor.cpp b/localization/yabloc/yabloc_particle_filter/src/prediction/predictor.cpp
index 764ef88bbde18..701a2b8763fa3 100644
--- a/localization/yabloc/yabloc_particle_filter/src/prediction/predictor.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/prediction/predictor.cpp
@@ -31,12 +31,15 @@
 namespace yabloc::modularized_particle_filter
 {
 
-Predictor::Predictor()
-: Node("predictor"),
-  number_of_particles_(declare_parameter<int>("num_of_particles")),
-  resampling_interval_seconds_(declare_parameter<float>("resampling_interval_seconds")),
-  static_linear_covariance_(declare_parameter<float>("static_linear_covariance")),
-  static_angular_covariance_(declare_parameter<float>("static_angular_covariance")),
+Predictor::Predictor(const rclcpp::NodeOptions & options)
+: Node("predictor", options),
+  number_of_particles_(static_cast<int>(declare_parameter<int>("num_of_particles"))),
+  resampling_interval_seconds_(
+    static_cast<float>(declare_parameter<float>("resampling_interval_seconds"))),
+  static_linear_covariance_(
+    static_cast<float>(declare_parameter<float>("static_linear_covariance"))),
+  static_angular_covariance_(
+    static_cast<float>(declare_parameter<float>("static_angular_covariance"))),
   cov_xx_yy_{this->template declare_parameter<std::vector<double>>("cov_xx_yy")}
 {
   tf2_broadcaster_ = std::make_unique<tf2_ros::TransformBroadcaster>(*this);
@@ -93,11 +96,11 @@ void Predictor::on_trigger_service(
     RCLCPP_INFO_STREAM(get_logger(), "yabloc particle filter is deactivated");
   }
 
-  const bool before_activated_ = yabloc_activated_;
+  const bool before_activated = yabloc_activated_;
   yabloc_activated_ = request->data;
   response->success = true;
 
-  if (yabloc_activated_ && (!before_activated_)) {
+  if (yabloc_activated_ && (!before_activated)) {
     RCLCPP_INFO_STREAM(get_logger(), "restart particle filter");
     if (latest_ekf_pose_ptr_) {
       on_initial_pose(latest_ekf_pose_ptr_);
@@ -113,10 +116,11 @@ void Predictor::on_initial_pose(const PoseCovStamped::ConstSharedPtr initialpose
   // Publish initial pose marker
   auto position = initialpose->pose.pose.position;
   Eigen::Vector3f pos_vec3f;
-  pos_vec3f << position.x, position.y, position.z;
+  pos_vec3f << static_cast<float>(position.x), static_cast<float>(position.y),
+    static_cast<float>(position.z);
 
   auto orientation = initialpose->pose.pose.orientation;
-  float theta = 2 * std::atan2(orientation.z, orientation.w);
+  auto theta = static_cast<float>(2 * std::atan2(orientation.z, orientation.w));
   Eigen::Vector3f tangent;
   tangent << std::cos(theta), std::sin(theta), 0;
 
@@ -152,7 +156,7 @@ void Predictor::initialize_particles(const PoseCovStamped & initialpose)
     pose.position.x += noise.x();
     pose.position.y += noise.y();
 
-    float noised_yaw = util::normalize_radian(yaw + util::nrand(yaw_std));
+    auto noised_yaw = static_cast<float>(util::normalize_radian(yaw + util::nrand(yaw_std)));
     pose.orientation.w = std::cos(noised_yaw / 2.0);
     pose.orientation.x = 0.0;
     pose.orientation.y = 0.0;
@@ -184,14 +188,14 @@ void Predictor::on_twist_cov(const TwistCovStamped::ConstSharedPtr twist_cov)
 }
 
 void Predictor::update_with_dynamic_noise(
-  ParticleArray & particle_array, const TwistCovStamped & twist, double dt)
+  ParticleArray & particle_array, const TwistCovStamped & twist, double dt) const
 {
   // linear & angular velocity
-  const float linear_x = twist.twist.twist.linear.x;
-  const float angular_z = twist.twist.twist.angular.z;
+  const auto linear_x = static_cast<float>(twist.twist.twist.linear.x);
+  const auto angular_z = static_cast<float>(twist.twist.twist.angular.z);
   // standard deviation of linear & angular velocity
-  const float std_linear_x = std::sqrt(twist.twist.covariance[6 * 0 + 0]);
-  const float std_angular_z = std::sqrt(twist.twist.covariance[6 * 5 + 5]);
+  const auto std_linear_x = static_cast<float>(std::sqrt(twist.twist.covariance[6 * 0 + 0]));
+  const auto std_angular_z = static_cast<float>(std::sqrt(twist.twist.covariance[6 * 5 + 5]));
   // 1[rad/s] = 60[deg/s]
   // 1[m/s] = 3.6[km/h]
   const float truncated_angular_std =
@@ -272,7 +276,7 @@ void Predictor::on_weighted_particles(const ParticleArray::ConstSharedPtr weight
   try {
     particle_array =
       resampler_ptr_->add_weight_retroactively(particle_array, *weighted_particles_ptr);
-  } catch (const resampling_skip_exception & e) {
+  } catch (const ResamplingSkipException & e) {
     // Do nothing (just skipping the resample())
     RCLCPP_INFO_STREAM(this->get_logger(), "skipped resampling");
   }
@@ -284,16 +288,16 @@ void Predictor::on_weighted_particles(const ParticleArray::ConstSharedPtr weight
     // Exit if previous resampling time is not valid.
     if (!previous_resampling_time_opt_.has_value()) {
       previous_resampling_time_opt_ = current_time;
-      throw resampling_skip_exception("previous resampling time is not valid");
+      throw ResamplingSkipException("previous resampling time is not valid");
     }
 
     if (current_time - previous_resampling_time_opt_.value() <= resampling_interval_seconds_) {
-      throw resampling_skip_exception("it is not time to resample");
+      throw ResamplingSkipException("it is not time to resample");
     }
 
     particle_array = resampler_ptr_->resample(particle_array);
     previous_resampling_time_opt_ = current_time;
-  } catch (const resampling_skip_exception & e) {
+  } catch (const ResamplingSkipException & e) {
     void();
     // Do nothing (just skipping the resample())
   }
@@ -397,7 +401,7 @@ Predictor::PoseCovStamped Predictor::rectify_initial_pose(
   msg.pose.pose.orientation.z = std::sin(theta / 2);
 
   Eigen::Matrix2f cov;
-  cov << cov_xx_yy_.at(0), 0, 0, cov_xx_yy_.at(1);
+  cov << static_cast<float>(cov_xx_yy_.at(0)), 0, 0, static_cast<float>(cov_xx_yy_.at(1));
   Eigen::Rotation2D r(theta);
   cov = r * cov * r.inverse();
 
@@ -411,3 +415,6 @@ Predictor::PoseCovStamped Predictor::rectify_initial_pose(
 }
 
 }  // namespace yabloc::modularized_particle_filter
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(yabloc::modularized_particle_filter::Predictor)
diff --git a/localization/yabloc/yabloc_particle_filter/src/prediction/predictor_node.cpp b/localization/yabloc/yabloc_particle_filter/src/prediction/predictor_node.cpp
deleted file mode 100644
index 81c756908b0f8..0000000000000
--- a/localization/yabloc/yabloc_particle_filter/src/prediction/predictor_node.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_particle_filter/prediction/predictor.hpp"
-
-#include <rclcpp/rclcpp.hpp>
-
-#include <memory>
-
-int main(int argc, char ** argv)
-{
-  namespace mpf = yabloc::modularized_particle_filter;
-  rclcpp::init(argc, argv);
-  rclcpp::spin(std::make_shared<mpf::Predictor>());
-  rclcpp::shutdown();
-  return 0;
-}
diff --git a/localization/yabloc/yabloc_particle_filter/src/prediction/resampler.cpp b/localization/yabloc/yabloc_particle_filter/src/prediction/resampler.cpp
index cc4cbc3730e0c..c8c3971ba85b2 100644
--- a/localization/yabloc/yabloc_particle_filter/src/prediction/resampler.cpp
+++ b/localization/yabloc/yabloc_particle_filter/src/prediction/resampler.cpp
@@ -65,7 +65,7 @@ RetroactiveResampler::ParticleArray RetroactiveResampler::add_weight_retroactive
 {
   if (!check_weighted_particles_validity(weighted_particles)) {
     RCLCPP_ERROR_STREAM(logger_, "weighted_particles has invalid data");
-    throw resampling_skip_exception("weighted_particles has invalid data");
+    throw ResamplingSkipException("weighted_particles has invalid data");
   }
 
   // Initialize corresponding index lookup table
@@ -143,7 +143,7 @@ RetroactiveResampler::ParticleArray RetroactiveResampler::resample(
     // Copy particle to resampled variable
     resampled_particles.particles[m] = predicted_particles.particles[predicted_particle_index];
     // Reset weight uniformly
-    resampled_particles.particles[m].weight = num_of_particles_inv;
+    resampled_particles.particles[m].weight = static_cast<float>(num_of_particles_inv);
     // Make history
     resampling_history_[latest_resampling_generation_][m] = predicted_particle_index;
   }
@@ -157,7 +157,7 @@ RetroactiveResampler::ParticleArray RetroactiveResampler::resample(
   return resampled_particles;
 }
 
-double RetroactiveResampler::random_from_01_uniformly() const
+double RetroactiveResampler::random_from_01_uniformly()
 {
   static std::default_random_engine engine(0);
   std::uniform_real_distribution<double> dist(0.0, 1.0);
diff --git a/localization/yabloc/yabloc_particle_filter/test/src/test_resampler.cpp b/localization/yabloc/yabloc_particle_filter/test/src/test_resampler.cpp
index 124b0500e010e..915237b2b125c 100644
--- a/localization/yabloc/yabloc_particle_filter/test/src/test_resampler.cpp
+++ b/localization/yabloc/yabloc_particle_filter/test/src/test_resampler.cpp
@@ -22,20 +22,20 @@ namespace mpf = yabloc::modularized_particle_filter;
 using Particle = yabloc_particle_filter::msg::Particle;
 using ParticleArray = yabloc_particle_filter::msg::ParticleArray;
 
-constexpr int PARTICLE_COUNT = 10;
-constexpr int HISTORY_SIZE = 10;
+constexpr int particle_count = 10;
+constexpr int history_size = 10;
 
 TEST(ResamplerTestSuite, outOfHistory)
 {
-  mpf::RetroactiveResampler resampler(PARTICLE_COUNT, HISTORY_SIZE);
+  mpf::RetroactiveResampler resampler(particle_count, history_size);
   ParticleArray predicted;
   ParticleArray weighted;
 
   predicted.header.stamp = rclcpp::Time(0);
   predicted.id = 0;
   weighted.id = 0;
-  predicted.particles.resize(PARTICLE_COUNT);
-  weighted.particles.resize(PARTICLE_COUNT);
+  predicted.particles.resize(particle_count);
+  weighted.particles.resize(particle_count);
   for (auto & p : predicted.particles) p.weight = 1;
   for (auto & p : weighted.particles) p.weight = 1;
 
@@ -64,7 +64,7 @@ TEST(ResamplerTestSuite, outOfHistory)
   }
 
   // Iterate resampling to fill all history
-  for (int t = 0; t < HISTORY_SIZE; ++t) {
+  for (int t = 0; t < history_size; ++t) {
     auto resampled = resampler.resample(predicted);
     EXPECT_EQ(resampled.id, t + 1);
     predicted = resampled;
@@ -85,26 +85,26 @@ TEST(ResamplerTestSuite, outOfHistory)
 
 TEST(ResamplerTestSuite, simpleResampling)
 {
-  mpf::RetroactiveResampler resampler(PARTICLE_COUNT, HISTORY_SIZE);
+  mpf::RetroactiveResampler resampler(particle_count, history_size);
 
   ParticleArray predicted;
   predicted.header.stamp = rclcpp::Time(0);
-  predicted.particles.resize(PARTICLE_COUNT);
+  predicted.particles.resize(particle_count);
   predicted.id = 0;
-  for (int i = 0; i < PARTICLE_COUNT; ++i) predicted.particles.at(i).weight = 1;
+  for (int i = 0; i < particle_count; ++i) predicted.particles.at(i).weight = 1;
 
   ParticleArray weighted;
-  weighted.particles.resize(PARTICLE_COUNT);
+  weighted.particles.resize(particle_count);
 
   // Update by uniform distribution
   {
     // Weight
     weighted.id = 0;
-    for (int i = 0; i < PARTICLE_COUNT; ++i) weighted.particles.at(i).weight = 0.5;
+    for (int i = 0; i < particle_count; ++i) weighted.particles.at(i).weight = 0.5;
     ParticleArray array1 = resampler.add_weight_retroactively(predicted, weighted);
 
     // All weights must be equal
-    for (const auto & p : array1.particles) EXPECT_NEAR(p.weight, 1.0 / PARTICLE_COUNT, 1e-3);
+    for (const auto & p : array1.particles) EXPECT_NEAR(p.weight, 1.0 / particle_count, 1e-3);
 
     // Resample
     predicted = array1;
@@ -117,10 +117,10 @@ TEST(ResamplerTestSuite, simpleResampling)
   {
     // Weight
     weighted.id = 0;
-    for (int i = 0; i < PARTICLE_COUNT; ++i) {
+    for (int i = 0; i < particle_count; ++i) {
       auto & p = predicted.particles.at(i);
       auto & q = weighted.particles.at(i);
-      if (i < PARTICLE_COUNT / 2) {
+      if (i < particle_count / 2) {
         p.pose.position.x = 1;
         q.weight = 2.0;
       } else {
@@ -131,12 +131,12 @@ TEST(ResamplerTestSuite, simpleResampling)
     ParticleArray array1 = resampler.add_weight_retroactively(predicted, weighted);
 
     // All weight must match with following expectation
-    for (int i = 0; i < PARTICLE_COUNT; ++i) {
+    for (int i = 0; i < particle_count; ++i) {
       const auto & p = array1.particles.at(i);
-      if (i < PARTICLE_COUNT / 2) {
-        EXPECT_NEAR(p.weight, 2.0 / 1.5 / PARTICLE_COUNT, 1e-3f);
+      if (i < particle_count / 2) {
+        EXPECT_NEAR(p.weight, 2.0 / 1.5 / particle_count, 1e-3f);
       } else {
-        EXPECT_NEAR(p.weight, 1.0 / 1.5 / PARTICLE_COUNT, 1e-3f);
+        EXPECT_NEAR(p.weight, 1.0 / 1.5 / particle_count, 1e-3f);
       }
     }
 
@@ -146,32 +146,33 @@ TEST(ResamplerTestSuite, simpleResampling)
     predicted = resampled;
     EXPECT_EQ(predicted.id, 2);
 
-    int centroid = 0;
-    for (const auto & p : predicted.particles) centroid += p.pose.position.x;
+    int centroid = std::accumulate(
+      predicted.particles.begin(), predicted.particles.end(), 0,
+      [](int sum, const auto & p) { return sum + static_cast<int>(p.pose.position.x); });
     EXPECT_GT(centroid, 0);
   }
 }
 
 TEST(ResamplerTestSuite, resamplingWithRetrogression)
 {
-  mpf::RetroactiveResampler resampler(PARTICLE_COUNT, HISTORY_SIZE);
+  mpf::RetroactiveResampler resampler(particle_count, history_size);
 
   ParticleArray predicted;
   predicted.header.stamp = rclcpp::Time(0);
-  predicted.particles.resize(PARTICLE_COUNT);
+  predicted.particles.resize(particle_count);
   predicted.id = 0;
 
-  for (int i = 0; i < PARTICLE_COUNT; ++i) {
+  for (int i = 0; i < particle_count; ++i) {
     auto & p = predicted.particles.at(i);
     p.weight = 1.0;
-    if (i < PARTICLE_COUNT / 2)
+    if (i < particle_count / 2)
       p.pose.position.x = 1;
     else
       p.pose.position.x = -1;
   }
 
   // Fill all history with biased weighted particles
-  for (int p = 0; p < HISTORY_SIZE; ++p) {
+  for (int p = 0; p < history_size; ++p) {
     auto resampled = resampler.resample(predicted);
     predicted = resampled;
     EXPECT_EQ(predicted.id, p + 1);
@@ -179,18 +180,17 @@ TEST(ResamplerTestSuite, resamplingWithRetrogression)
 
   // Update by ancient measurement
   {
-    double before_centroid = 0;
-    for (const auto & p : predicted.particles) {
-      before_centroid += p.pose.position.x * p.weight;
-    }
+    double before_centroid = std::accumulate(
+      predicted.particles.begin(), predicted.particles.end(), 0.0,
+      [](double sum, const auto & p) { return sum + p.pose.position.x * p.weight; });
 
     // Weight
     ParticleArray weighted;
-    weighted.particles.resize(PARTICLE_COUNT);
+    weighted.particles.resize(particle_count);
     weighted.id = 1;  // ancient generation id
-    for (int i = 0; i < PARTICLE_COUNT; ++i) {
+    for (int i = 0; i < particle_count; ++i) {
       auto & q = weighted.particles.at(i);
-      if (i < PARTICLE_COUNT / 2) {
+      if (i < particle_count / 2) {
         q.weight = 2.0;
       } else {
         q.weight = 1.0;
@@ -199,10 +199,10 @@ TEST(ResamplerTestSuite, resamplingWithRetrogression)
 
     predicted = resampler.add_weight_retroactively(predicted, weighted);
 
-    double after_centroid = 0;
-    for (const auto & p : predicted.particles) {
-      after_centroid += p.pose.position.x * p.weight;
-    }
+    double after_centroid = std::accumulate(
+      predicted.particles.begin(), predicted.particles.end(), 0.0,
+      [](double sum, const auto & p) { return sum + p.pose.position.x * p.weight; });
+
     EXPECT_TRUE(after_centroid > before_centroid);
   }
 }
diff --git a/localization/yabloc/yabloc_pose_initializer/CMakeLists.txt b/localization/yabloc/yabloc_pose_initializer/CMakeLists.txt
index 91b272b413c4c..2e6d31ae2f12b 100644
--- a/localization/yabloc/yabloc_pose_initializer/CMakeLists.txt
+++ b/localization/yabloc/yabloc_pose_initializer/CMakeLists.txt
@@ -20,18 +20,22 @@ find_package(OpenCV REQUIRED)
 # ===================================================
 # Executable
 # Camera
-set(TARGET camera_pose_initializer_node)
-ament_auto_add_executable(${TARGET}
+ament_auto_add_library(${PROJECT_NAME}
   src/camera/lane_image.cpp
   src/camera/marker_module.cpp
   src/camera/projector_module.cpp
   src/camera/semantic_segmentation.cpp
-  src/camera/camera_pose_initializer_core.cpp
-  src/camera/camera_pose_initializer_node.cpp)
-target_include_directories(${TARGET} PUBLIC include)
-target_include_directories(${TARGET} SYSTEM PRIVATE ${EIGEN3_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS})
-target_link_libraries(${TARGET} ${PCL_LIBRARIES} Sophus::Sophus)
-ament_target_dependencies(${TARGET} OpenCV)
+  src/camera/camera_pose_initializer_core.cpp)
+target_include_directories(${PROJECT_NAME} PUBLIC include)
+target_include_directories(${PROJECT_NAME} SYSTEM PRIVATE ${EIGEN3_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS})
+target_link_libraries(${PROJECT_NAME} ${PCL_LIBRARIES} Sophus::Sophus)
+ament_target_dependencies(${PROJECT_NAME} OpenCV)
+
+rclcpp_components_register_node(${PROJECT_NAME}
+  PLUGIN "yabloc::CameraPoseInitializer"
+  EXECUTABLE ${PROJECT_NAME}_node
+  EXECUTOR MultiThreadedExecutor
+)
 
 # ===================================================
 ament_auto_package(INSTALL_TO_SHARE config launch)
diff --git a/localization/yabloc/yabloc_pose_initializer/include/yabloc_pose_initializer/camera/camera_pose_initializer.hpp b/localization/yabloc/yabloc_pose_initializer/include/yabloc_pose_initializer/camera/camera_pose_initializer.hpp
index 979d1b370699e..eb2942a76e5df 100644
--- a/localization/yabloc/yabloc_pose_initializer/include/yabloc_pose_initializer/camera/camera_pose_initializer.hpp
+++ b/localization/yabloc/yabloc_pose_initializer/include/yabloc_pose_initializer/camera/camera_pose_initializer.hpp
@@ -43,7 +43,7 @@ class CameraPoseInitializer : public rclcpp::Node
   using LaneletMapBin = autoware_map_msgs::msg::LaneletMapBin;
   using RequestPoseAlignment = tier4_localization_msgs::srv::PoseWithCovarianceStamped;
 
-  CameraPoseInitializer();
+  explicit CameraPoseInitializer(const rclcpp::NodeOptions & options = rclcpp::NodeOptions());
 
 private:
   const int angle_resolution_;
diff --git a/localization/yabloc/yabloc_pose_initializer/launch/yabloc_pose_initializer.launch.xml b/localization/yabloc/yabloc_pose_initializer/launch/yabloc_pose_initializer.launch.xml
index 83c2c8fe09287..964cc61420b9c 100644
--- a/localization/yabloc/yabloc_pose_initializer/launch/yabloc_pose_initializer.launch.xml
+++ b/localization/yabloc/yabloc_pose_initializer/launch/yabloc_pose_initializer.launch.xml
@@ -2,7 +2,7 @@
   <arg name="data_path" default="$(env HOME)/autoware_data"/>
   <arg name="model_path" default="$(var data_path)/yabloc_pose_initializer/saved_model/model_float32.pb"/>
 
-  <node name="camera_pose_initializer_node" pkg="yabloc_pose_initializer" exec="camera_pose_initializer_node" output="screen" args="--ros-args --log-level info">
+  <node pkg="yabloc_pose_initializer" exec="yabloc_pose_initializer_node" output="both">
     <param from="$(var camera_pose_initializer_param_path)"/>
     <param name="model_path" value="$(var model_path)"/>
     <remap from="~/input/camera_info" to="/localization/pose_estimator/yabloc/image_processing/undistorted/camera_info"/>
diff --git a/localization/yabloc/yabloc_pose_initializer/package.xml b/localization/yabloc/yabloc_pose_initializer/package.xml
index 7ed16c9a8b82d..22e9bdd0dd553 100644
--- a/localization/yabloc/yabloc_pose_initializer/package.xml
+++ b/localization/yabloc/yabloc_pose_initializer/package.xml
@@ -22,6 +22,7 @@
   <depend>lanelet2_extension</depend>
   <depend>libopencv-dev</depend>
   <depend>rclcpp</depend>
+  <depend>rclcpp_components</depend>
   <depend>sensor_msgs</depend>
   <depend>tier4_localization_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_core.cpp b/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_core.cpp
index 083e7dd5bcd43..dd97ea2ad888f 100644
--- a/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_core.cpp
+++ b/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_core.cpp
@@ -26,8 +26,9 @@
 
 namespace yabloc
 {
-CameraPoseInitializer::CameraPoseInitializer()
-: Node("camera_pose_initializer"), angle_resolution_(declare_parameter<int>("angle_resolution"))
+CameraPoseInitializer::CameraPoseInitializer(const rclcpp::NodeOptions & options)
+: Node("camera_pose_initializer", options),
+  angle_resolution_(declare_parameter<int>("angle_resolution"))
 {
   using std::placeholders::_1;
   using std::placeholders::_2;
@@ -216,3 +217,6 @@ CameraPoseInitializer::PoseCovStamped CameraPoseInitializer::create_rectified_in
 }
 
 }  // namespace yabloc
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(yabloc::CameraPoseInitializer)
diff --git a/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_node.cpp b/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_node.cpp
deleted file mode 100644
index 2bcfe073351f8..0000000000000
--- a/localization/yabloc/yabloc_pose_initializer/src/camera/camera_pose_initializer_node.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "yabloc_pose_initializer/camera/camera_pose_initializer.hpp"
-
-int main(int argc, char * argv[])
-{
-  rclcpp::init(argc, argv);
-  auto node = std::make_shared<yabloc::CameraPoseInitializer>();
-  rclcpp::executors::MultiThreadedExecutor executor;
-  executor.add_node(node);
-  executor.spin();
-  rclcpp::shutdown();
-  return 0;
-}
diff --git a/map/map_loader/README.md b/map/map_loader/README.md
index 21bd39303250f..a30bfa1a8f633 100644
--- a/map/map_loader/README.md
+++ b/map/map_loader/README.md
@@ -150,6 +150,9 @@ Please see [tier4_autoware_msgs/msg/MapProjectorInfo.msg](https://github.com/tie
 
 {{ json_to_markdown("map/map_loader/schema/lanelet2_map_loader.schema.json") }}
 
+`use_waypoints` decides how to handle a centerline.
+This flag enables to use the `overwriteLaneletsCenterlineWithWaypoints` function instead of `overwriteLaneletsCenterline`. Please see [the document of the lanelet2_extension package](https://github.com/autowarefoundation/autoware_common/blob/main/tmp/lanelet2_extension/docs/lanelet2_format_extension.md#centerline) in detail.
+
 ---
 
 ## lanelet2_map_visualization
diff --git a/map/map_loader/config/lanelet2_map_loader.param.yaml b/map/map_loader/config/lanelet2_map_loader.param.yaml
index b830e038f1de2..48152605ec0a2 100755
--- a/map/map_loader/config/lanelet2_map_loader.param.yaml
+++ b/map/map_loader/config/lanelet2_map_loader.param.yaml
@@ -1,4 +1,5 @@
 /**:
   ros__parameters:
-    center_line_resolution: 5.0         # [m]
+    center_line_resolution: 5.0                 # [m]
+    use_waypoints: true                         # "centerline" in the Lanelet2 map will be used as a "waypoints" tag.
     lanelet2_map_path: $(var lanelet2_map_path) # The lanelet2 map path
diff --git a/map/map_loader/schema/lanelet2_map_loader.schema.json b/map/map_loader/schema/lanelet2_map_loader.schema.json
index fa2b4d363ff92..aae295f847ab2 100644
--- a/map/map_loader/schema/lanelet2_map_loader.schema.json
+++ b/map/map_loader/schema/lanelet2_map_loader.schema.json
@@ -11,13 +11,18 @@
           "description": "Resolution of the Lanelet center line [m]",
           "default": "5.0"
         },
+        "use_waypoints": {
+          "type": "boolean",
+          "description": "If true, `centerline` in the Lanelet2 map will be used as a `waypoints` tag.",
+          "default": true
+        },
         "lanelet2_map_path": {
           "type": "string",
           "description": "The lanelet2 map path pointing to the .osm file",
           "default": ""
         }
       },
-      "required": ["center_line_resolution", "lanelet2_map_path"],
+      "required": ["center_line_resolution", "use_waypoints", "lanelet2_map_path"],
       "additionalProperties": false
     }
   },
diff --git a/map/map_loader/src/lanelet2_map_loader/lanelet2_map_loader_node.cpp b/map/map_loader/src/lanelet2_map_loader/lanelet2_map_loader_node.cpp
index b097e1809a385..ee89ad571b90a 100644
--- a/map/map_loader/src/lanelet2_map_loader/lanelet2_map_loader_node.cpp
+++ b/map/map_loader/src/lanelet2_map_loader/lanelet2_map_loader_node.cpp
@@ -63,6 +63,7 @@ Lanelet2MapLoaderNode::Lanelet2MapLoaderNode(const rclcpp::NodeOptions & options
 
   declare_parameter<std::string>("lanelet2_map_path");
   declare_parameter<double>("center_line_resolution");
+  declare_parameter<bool>("use_waypoints");
 }
 
 void Lanelet2MapLoaderNode::on_map_projector_info(
@@ -70,6 +71,7 @@ void Lanelet2MapLoaderNode::on_map_projector_info(
 {
   const auto lanelet2_filename = get_parameter("lanelet2_map_path").as_string();
   const auto center_line_resolution = get_parameter("center_line_resolution").as_double();
+  const auto use_waypoints = get_parameter("use_waypoints").as_bool();
 
   // load map from file
   const auto map = load_map(lanelet2_filename, *msg);
@@ -79,7 +81,11 @@ void Lanelet2MapLoaderNode::on_map_projector_info(
   }
 
   // overwrite centerline
-  lanelet::utils::overwriteLaneletsCenterline(map, center_line_resolution, false);
+  if (use_waypoints) {
+    lanelet::utils::overwriteLaneletsCenterlineWithWaypoints(map, center_line_resolution, false);
+  } else {
+    lanelet::utils::overwriteLaneletsCenterline(map, center_line_resolution, false);
+  }
 
   // create map bin msg
   const auto map_bin_msg = create_map_bin_msg(map, lanelet2_filename, now());
diff --git a/map/map_loader/src/pointcloud_map_loader/pointcloud_map_loader_node.cpp b/map/map_loader/src/pointcloud_map_loader/pointcloud_map_loader_node.cpp
index bacbabe60a719..349fc2954fe28 100644
--- a/map/map_loader/src/pointcloud_map_loader/pointcloud_map_loader_node.cpp
+++ b/map/map_loader/src/pointcloud_map_loader/pointcloud_map_loader_node.cpp
@@ -67,12 +67,8 @@ PointCloudMapLoaderNode::PointCloudMapLoaderNode(const rclcpp::NodeOptions & opt
       std::make_unique<PointcloudMapLoaderModule>(this, pcd_paths, publisher_name, true);
   }
 
-  std::map<std::string, PCDFileMetadata> pcd_metadata_dict;
-  try {
-    pcd_metadata_dict = getPCDMetadata(pcd_metadata_path, pcd_paths);
-  } catch (std::runtime_error & e) {
-    RCLCPP_ERROR_STREAM(get_logger(), e.what());
-  }
+  // Parse the metadata file and get the map of (absolute pcd path, pcd file metadata)
+  auto pcd_metadata_dict = getPCDMetadata(pcd_metadata_path, pcd_paths);
 
   if (enable_partial_load) {
     partial_map_loader_ = std::make_unique<PartialMapLoaderModule>(this, pcd_metadata_dict);
@@ -89,8 +85,25 @@ std::map<std::string, PCDFileMetadata> PointCloudMapLoaderNode::getPCDMetadata(
   const std::string & pcd_metadata_path, const std::vector<std::string> & pcd_paths) const
 {
   if (fs::exists(pcd_metadata_path)) {
+    std::set<std::string> missing_pcd_names;
     auto pcd_metadata_dict = loadPCDMetadata(pcd_metadata_path);
-    pcd_metadata_dict = replaceWithAbsolutePath(pcd_metadata_dict, pcd_paths);
+
+    pcd_metadata_dict = replaceWithAbsolutePath(pcd_metadata_dict, pcd_paths, missing_pcd_names);
+
+    // Warning if some segments are missing
+    if (!missing_pcd_names.empty()) {
+      std::ostringstream oss;
+
+      oss << "The following segment(s) are missing from the input PCDs: ";
+
+      for (auto & fname : missing_pcd_names) {
+        oss << std::endl << fname;
+      }
+
+      RCLCPP_ERROR_STREAM(get_logger(), oss.str());
+      throw std::runtime_error("Missing PCD segments. Exiting map loader...");
+    }
+
     return pcd_metadata_dict;
   } else if (pcd_paths.size() == 1) {
     // An exception when using a single file PCD map so that the users do not have to provide
diff --git a/map/map_loader/src/pointcloud_map_loader/utils.cpp b/map/map_loader/src/pointcloud_map_loader/utils.cpp
index 2430ce74e3e8b..96f9d114ed265 100644
--- a/map/map_loader/src/pointcloud_map_loader/utils.cpp
+++ b/map/map_loader/src/pointcloud_map_loader/utils.cpp
@@ -50,16 +50,28 @@ std::map<std::string, PCDFileMetadata> loadPCDMetadata(const std::string & pcd_m
 
 std::map<std::string, PCDFileMetadata> replaceWithAbsolutePath(
   const std::map<std::string, PCDFileMetadata> & pcd_metadata_path,
-  const std::vector<std::string> & pcd_paths)
+  const std::vector<std::string> & pcd_paths, std::set<std::string> & missing_pcd_names)
 {
+  // Initially, assume all segments are missing
+  for (auto & it : pcd_metadata_path) {
+    missing_pcd_names.insert(it.first);
+  }
+
   std::map<std::string, PCDFileMetadata> absolute_path_map;
   for (const auto & path : pcd_paths) {
     std::string filename = path.substr(path.find_last_of("/\\") + 1);
     auto it = pcd_metadata_path.find(filename);
     if (it != pcd_metadata_path.end()) {
       absolute_path_map[path] = it->second;
+
+      // If a segment was found from the pcd paths, remove
+      // it from the missing segments
+      missing_pcd_names.erase(filename);
     }
   }
+
+  // The remaining segments in the @missing_pcd are were not
+  // found from the pcd paths, which means they are missing
   return absolute_path_map;
 }
 
diff --git a/map/map_loader/src/pointcloud_map_loader/utils.hpp b/map/map_loader/src/pointcloud_map_loader/utils.hpp
index 62d0b34e516e3..29d9a24d7b0e7 100644
--- a/map/map_loader/src/pointcloud_map_loader/utils.hpp
+++ b/map/map_loader/src/pointcloud_map_loader/utils.hpp
@@ -22,6 +22,7 @@
 #include <yaml-cpp/yaml.h>
 
 #include <map>
+#include <set>
 #include <string>
 #include <vector>
 
@@ -39,7 +40,7 @@ struct PCDFileMetadata
 std::map<std::string, PCDFileMetadata> loadPCDMetadata(const std::string & pcd_metadata_path);
 std::map<std::string, PCDFileMetadata> replaceWithAbsolutePath(
   const std::map<std::string, PCDFileMetadata> & pcd_metadata_path,
-  const std::vector<std::string> & pcd_paths);
+  const std::vector<std::string> & pcd_paths, std::set<std::string> & missing_pcd_names);
 
 bool cylinderAndBoxOverlapExists(
   const double center_x, const double center_y, const double radius,
diff --git a/map/map_loader/test/lanelet2_map_loader_launch.test.py b/map/map_loader/test/lanelet2_map_loader_launch.test.py
index f1aa9e0efe922..9f9a59f565e3f 100644
--- a/map/map_loader/test/lanelet2_map_loader_launch.test.py
+++ b/map/map_loader/test/lanelet2_map_loader_launch.test.py
@@ -34,7 +34,13 @@ def generate_test_description():
     lanelet2_map_loader = Node(
         package="map_loader",
         executable="lanelet2_map_loader",
-        parameters=[{"lanelet2_map_path": lanelet2_map_path, "center_line_resolution": 5.0}],
+        parameters=[
+            {
+                "lanelet2_map_path": lanelet2_map_path,
+                "center_line_resolution": 5.0,
+                "use_waypoints": True,
+            }
+        ],
     )
 
     context = {}
diff --git a/map/map_loader/test/test_replace_with_absolute_path.cpp b/map/map_loader/test/test_replace_with_absolute_path.cpp
index 10680e05103ce..f61dd188f0679 100644
--- a/map/map_loader/test/test_replace_with_absolute_path.cpp
+++ b/map/map_loader/test/test_replace_with_absolute_path.cpp
@@ -36,7 +36,8 @@ TEST(ReplaceWithAbsolutePathTest, BasicFunctionality)
     {"/home/user/pcd/file2.pcd", {{-1, -2, -3}, {-4, -5, -6}}},
   };
 
-  auto result = replaceWithAbsolutePath(pcd_metadata_path, pcd_paths);
+  std::set<std::string> missing_pcd_names;
+  auto result = replaceWithAbsolutePath(pcd_metadata_path, pcd_paths, missing_pcd_names);
   ASSERT_THAT(result, ContainerEq(expected));
 }
 
@@ -53,8 +54,9 @@ TEST(ReplaceWithAbsolutePathTest, NoMatchingFiles)
   };
 
   std::map<std::string, PCDFileMetadata> expected = {};
+  std::set<std::string> missing_pcd_names;
 
-  auto result = replaceWithAbsolutePath(pcd_metadata_path, pcd_paths);
+  auto result = replaceWithAbsolutePath(pcd_metadata_path, pcd_paths, missing_pcd_names);
   ASSERT_THAT(result, ContainerEq(expected));
 }
 
diff --git a/map/map_projection_loader/src/map_projection_loader.cpp b/map/map_projection_loader/src/map_projection_loader.cpp
index 383051e8f67a5..e5b95b613b0d1 100644
--- a/map/map_projection_loader/src/map_projection_loader.cpp
+++ b/map/map_projection_loader/src/map_projection_loader.cpp
@@ -33,13 +33,9 @@ tier4_map_msgs::msg::MapProjectorInfo load_info_from_yaml(const std::string & fi
     msg.vertical_datum = data["vertical_datum"].as<std::string>();
     msg.mgrs_grid = data["mgrs_grid"].as<std::string>();
 
-  } else if (msg.projector_type == tier4_map_msgs::msg::MapProjectorInfo::LOCAL_CARTESIAN_UTM) {
-    msg.vertical_datum = data["vertical_datum"].as<std::string>();
-    msg.map_origin.latitude = data["map_origin"]["latitude"].as<double>();
-    msg.map_origin.longitude = data["map_origin"]["longitude"].as<double>();
-    msg.map_origin.altitude = data["map_origin"]["altitude"].as<double>();
-
-  } else if (msg.projector_type == tier4_map_msgs::msg::MapProjectorInfo::TRANSVERSE_MERCATOR) {
+  } else if (
+    msg.projector_type == tier4_map_msgs::msg::MapProjectorInfo::LOCAL_CARTESIAN_UTM ||
+    msg.projector_type == tier4_map_msgs::msg::MapProjectorInfo::TRANSVERSE_MERCATOR) {
     msg.vertical_datum = data["vertical_datum"].as<std::string>();
     msg.map_origin.latitude = data["map_origin"]["latitude"].as<double>();
     msg.map_origin.longitude = data["map_origin"]["longitude"].as<double>();
diff --git a/map/map_projection_loader/test/test_load_info_from_lanelet2_map.cpp b/map/map_projection_loader/test/test_load_info_from_lanelet2_map.cpp
index fdfe96434fe0d..7d66388c1a91e 100644
--- a/map/map_projection_loader/test/test_load_info_from_lanelet2_map.cpp
+++ b/map/map_projection_loader/test/test_load_info_from_lanelet2_map.cpp
@@ -41,7 +41,7 @@ void save_dummy_mgrs_lanelet2_map(const std::string & mgrs_coord, const std::str
 
   file << "<?xml version=\"1.0\"?>\n";
   file << "<osm version=\"0.6\" generator=\"lanelet2\">\n";
-  file << "  <node id=\"1\" lat=\"" << lat << "\" lon=\"" << lon << "\"/>\n";
+  file << R"(  <node id="1" lat=")" << lat << "\" lon=\"" << lon << "\"/>\n";
   file << "</osm>";
 
   file.close();
diff --git a/perception/autoware_crosswalk_traffic_light_estimator/include/autoware_crosswalk_traffic_light_estimator/node.hpp b/perception/autoware_crosswalk_traffic_light_estimator/include/autoware_crosswalk_traffic_light_estimator/node.hpp
index de53d78d7f782..8efb90cc87c89 100644
--- a/perception/autoware_crosswalk_traffic_light_estimator/include/autoware_crosswalk_traffic_light_estimator/node.hpp
+++ b/perception/autoware_crosswalk_traffic_light_estimator/include/autoware_crosswalk_traffic_light_estimator/node.hpp
@@ -15,9 +15,9 @@
 #ifndef AUTOWARE_CROSSWALK_TRAFFIC_LIGHT_ESTIMATOR__NODE_HPP_
 #define AUTOWARE_CROSSWALK_TRAFFIC_LIGHT_ESTIMATOR__NODE_HPP_
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/traffic_light_group_array.hpp>
@@ -39,10 +39,10 @@
 namespace autoware::crosswalk_traffic_light_estimator
 {
 
+using autoware::universe_utils::DebugPublisher;
+using autoware::universe_utils::StopWatch;
 using autoware_map_msgs::msg::LaneletMapBin;
 using autoware_planning_msgs::msg::LaneletRoute;
-using tier4_autoware_utils::DebugPublisher;
-using tier4_autoware_utils::StopWatch;
 using tier4_debug_msgs::msg::Float64Stamped;
 using TrafficSignal = autoware_perception_msgs::msg::TrafficLightGroup;
 using TrafficSignalArray = autoware_perception_msgs::msg::TrafficLightGroupArray;
diff --git a/perception/autoware_crosswalk_traffic_light_estimator/package.xml b/perception/autoware_crosswalk_traffic_light_estimator/package.xml
index d844ea27b52b5..18b0b8a41264f 100644
--- a/perception/autoware_crosswalk_traffic_light_estimator/package.xml
+++ b/perception/autoware_crosswalk_traffic_light_estimator/package.xml
@@ -15,10 +15,10 @@
   <depend>autoware_map_msgs</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>lanelet2_extension</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/autoware_map_based_prediction/include/map_based_prediction/map_based_prediction_node.hpp b/perception/autoware_map_based_prediction/include/map_based_prediction/map_based_prediction_node.hpp
index 27c2a5079f441..ce1c587cc3b01 100644
--- a/perception/autoware_map_based_prediction/include/map_based_prediction/map_based_prediction_node.hpp
+++ b/perception/autoware_map_based_prediction/include/map_based_prediction/map_based_prediction_node.hpp
@@ -15,18 +15,18 @@
 #ifndef MAP_BASED_PREDICTION__MAP_BASED_PREDICTION_NODE_HPP_
 #define MAP_BASED_PREDICTION__MAP_BASED_PREDICTION_NODE_HPP_
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "map_based_prediction/path_generator.hpp"
 #include "tf2/LinearMath/Quaternion.h"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -116,6 +116,7 @@ struct PredictionTimeHorizon
 
 using LaneletsData = std::vector<LaneletData>;
 using ManeuverProbability = std::unordered_map<Maneuver, float>;
+using autoware::universe_utils::StopWatch;
 using autoware_map_msgs::msg::LaneletMapBin;
 using autoware_perception_msgs::msg::ObjectClassification;
 using autoware_perception_msgs::msg::PredictedObject;
@@ -129,7 +130,6 @@ using autoware_perception_msgs::msg::TrafficLightElement;
 using autoware_perception_msgs::msg::TrafficLightGroup;
 using autoware_perception_msgs::msg::TrafficLightGroupArray;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::StopWatch;
 using tier4_debug_msgs::msg::StringStamped;
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
 class MapBasedPredictionNode : public rclcpp::Node
@@ -143,12 +143,12 @@ class MapBasedPredictionNode : public rclcpp::Node
   rclcpp::Publisher<visualization_msgs::msg::MarkerArray>::SharedPtr pub_debug_markers_;
   rclcpp::Subscription<TrackedObjects>::SharedPtr sub_objects_;
   rclcpp::Subscription<LaneletMapBin>::SharedPtr sub_map_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<TrafficLightGroupArray> sub_traffic_signals_{
-    this, "/traffic_signals"};
+  autoware::universe_utils::InterProcessPollingSubscriber<TrafficLightGroupArray>
+    sub_traffic_signals_{this, "/traffic_signals"};
 
   // debug publisher
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
 
   // Object History
   std::unordered_map<std::string, std::deque<ObjectData>> road_users_history;
@@ -169,7 +169,7 @@ class MapBasedPredictionNode : public rclcpp::Node
     const std::vector<rclcpp::Parameter> & parameters);
 
   // Pose Transform Listener
-  tier4_autoware_utils::TransformListener transform_listener_{this};
+  autoware::universe_utils::TransformListener transform_listener_{this};
 
   // Path Generator
   std::shared_ptr<PathGenerator> path_generator_;
@@ -221,7 +221,7 @@ class MapBasedPredictionNode : public rclcpp::Node
   bool match_lost_and_appeared_crosswalk_users_;
   bool remember_lost_crosswalk_users_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // Member Functions
   void mapCallback(const LaneletMapBin::ConstSharedPtr msg);
@@ -314,8 +314,8 @@ class MapBasedPredictionNode : public rclcpp::Node
   inline std::vector<double> calcTrajectoryCurvatureFrom3Points(
     const TrajectoryPoints & trajectory, size_t idx_dist)
   {
-    using tier4_autoware_utils::calcCurvature;
-    using tier4_autoware_utils::getPoint;
+    using autoware::universe_utils::calcCurvature;
+    using autoware::universe_utils::getPoint;
 
     if (trajectory.size() < 3) {
       const std::vector<double> k_arr(trajectory.size(), 0.0);
diff --git a/perception/autoware_map_based_prediction/package.xml b/perception/autoware_map_based_prediction/package.xml
index 3671c1a01b0a2..37bb7aafb01bf 100644
--- a/perception/autoware_map_based_prediction/package.xml
+++ b/perception/autoware_map_based_prediction/package.xml
@@ -14,17 +14,17 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>glog</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>unique_identifier_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/perception/autoware_map_based_prediction/src/debug.cpp b/perception/autoware_map_based_prediction/src/debug.cpp
index 0c58d4aae1638..bd40ee0981c0e 100644
--- a/perception/autoware_map_based_prediction/src/debug.cpp
+++ b/perception/autoware_map_based_prediction/src/debug.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "map_based_prediction/map_based_prediction_node.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 namespace autoware::map_based_prediction
 {
@@ -29,7 +29,7 @@ visualization_msgs::msg::Marker MapBasedPredictionNode::getDebugMarker(
   marker.type = visualization_msgs::msg::Marker::CUBE;
   marker.action = visualization_msgs::msg::Marker::ADD;
   marker.pose = object.kinematics.pose_with_covariance.pose;
-  marker.scale = tier4_autoware_utils::createMarkerScale(3.0, 1.0, 1.0);
+  marker.scale = autoware::universe_utils::createMarkerScale(3.0, 1.0, 1.0);
 
   // Color by maneuver
   double r = 0.0;
@@ -42,7 +42,7 @@ visualization_msgs::msg::Marker MapBasedPredictionNode::getDebugMarker(
   } else {
     b = 1.0;
   }
-  marker.color = tier4_autoware_utils::createMarkerColor(r, g, b, 0.8);
+  marker.color = autoware::universe_utils::createMarkerColor(r, g, b, 0.8);
 
   return marker;
 }
diff --git a/perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp b/perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp
index 20d532d7127d7..f505cb7cc5592 100644
--- a/perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp
+++ b/perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp
@@ -14,16 +14,16 @@
 
 #include "map_based_prediction/map_based_prediction_node.hpp"
 
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <interpolation/linear_interpolation.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 
@@ -92,10 +92,10 @@ double calcAbsLateralOffset(
   for (size_t i = 0; i < boundary_path.size(); ++i) {
     const double x = boundary_line[i].x();
     const double y = boundary_line[i].y();
-    boundary_path[i] = tier4_autoware_utils::createPoint(x, y, 0.0);
+    boundary_path[i] = autoware::universe_utils::createPoint(x, y, 0.0);
   }
 
-  return std::fabs(motion_utils::calcLateralOffset(boundary_path, search_pose.position));
+  return std::fabs(autoware::motion_utils::calcLateralOffset(boundary_path, search_pose.position));
 }
 
 /**
@@ -218,7 +218,7 @@ double calcAbsYawDiffBetweenLaneletAndObject(
   const double lane_yaw =
     lanelet::utils::getLaneletAngle(lanelet, object.kinematics.pose_with_covariance.pose.position);
   const double delta_yaw = object_yaw - lane_yaw;
-  const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+  const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
   const double abs_norm_delta = std::fabs(normalized_delta_yaw);
   return abs_norm_delta;
 }
@@ -418,7 +418,7 @@ boost::optional<CrosswalkEdgePoints> isReachableCrosswalkEdgePoints(
 
   const auto & obj_pos = object.kinematics.pose_with_covariance.pose.position;
   const auto & obj_vel = object.kinematics.twist_with_covariance.twist.linear;
-  const auto yaw = tier4_autoware_utils::getRPY(object.kinematics.pose_with_covariance.pose).z;
+  const auto yaw = autoware::universe_utils::getRPY(object.kinematics.pose_with_covariance.pose).z;
 
   lanelet::BasicPoint2d obj_pos_as_lanelet(obj_pos.x, obj_pos.y);
   if (boost::geometry::within(obj_pos_as_lanelet, target_crosswalk.polygon2d().basicPolygon())) {
@@ -529,7 +529,7 @@ bool hasPotentialToReach(
 {
   const auto & obj_pos = object.kinematics.pose_with_covariance.pose.position;
   const auto & obj_vel = object.kinematics.twist_with_covariance.twist.linear;
-  const auto yaw = tier4_autoware_utils::getRPY(object.kinematics.pose_with_covariance.pose).z;
+  const auto yaw = autoware::universe_utils::getRPY(object.kinematics.pose_with_covariance.pose).z;
 
   constexpr double stop_velocity_th = 0.14;  // [m/s]
   const auto estimated_velocity = std::hypot(obj_vel.x, obj_vel.y);
@@ -547,16 +547,16 @@ bool hasPotentialToReach(
         const double pedestrian_to_crosswalk_left_direction =
           std::atan2(left_point.y() - obj_pos.y, left_point.x() - obj_pos.x);
         return std::make_pair(
-          tier4_autoware_utils::normalizeRadian(
+          autoware::universe_utils::normalizeRadian(
             pedestrian_to_crosswalk_right_direction - pedestrian_to_crosswalk_center_direction),
-          tier4_autoware_utils::normalizeRadian(
+          autoware::universe_utils::normalizeRadian(
             pedestrian_to_crosswalk_left_direction - pedestrian_to_crosswalk_center_direction));
       }();
 
   const double pedestrian_heading_rel_direction = [&]() {
     const double pedestrian_heading_direction =
       std::atan2(obj_vel.x * std::sin(yaw), obj_vel.x * std::cos(yaw));
-    return tier4_autoware_utils::normalizeRadian(
+    return autoware::universe_utils::normalizeRadian(
       pedestrian_heading_direction - pedestrian_to_crosswalk_center_direction);
   }();
 
@@ -658,7 +658,7 @@ ObjectClassification::_label_type changeLabelForPrediction(
       if (within_road_lanelet) return ObjectClassification::MOTORCYCLE;
 
       constexpr float high_speed_threshold =
-        tier4_autoware_utils::kmph2mps(25.0);  // High speed bicycle 25 km/h
+        autoware::universe_utils::kmph2mps(25.0);  // High speed bicycle 25 km/h
       // calc abs speed from x and y velocity
       const double abs_speed = std::hypot(
         object.kinematics.twist_with_covariance.twist.linear.x,
@@ -673,7 +673,7 @@ ObjectClassification::_label_type changeLabelForPrediction(
     case ObjectClassification::PEDESTRIAN: {
       const bool within_road_lanelet = withinRoadLanelet(object, lanelet_map_ptr_, true);
       const float max_velocity_for_human_mps =
-        tier4_autoware_utils::kmph2mps(25.0);  // Max human being motion speed is 25km/h
+        autoware::universe_utils::kmph2mps(25.0);  // Max human being motion speed is 25km/h
       const double abs_speed = std::hypot(
         object.kinematics.twist_with_covariance.twist.linear.x,
         object.kinematics.twist_with_covariance.twist.linear.y);
@@ -859,13 +859,15 @@ MapBasedPredictionNode::MapBasedPredictionNode(const rclcpp::NodeOptions & node_
   pub_debug_markers_ =
     this->create_publisher<visualization_msgs::msg::MarkerArray>("maneuver", rclcpp::QoS{1});
   processing_time_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "map_based_prediction");
+    std::make_unique<autoware::universe_utils::DebugPublisher>(this, "map_based_prediction");
 
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
   set_param_res_ = this->add_on_set_parameters_callback(
     std::bind(&MapBasedPredictionNode::onParam, this, std::placeholders::_1));
 
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
 }
@@ -873,7 +875,7 @@ MapBasedPredictionNode::MapBasedPredictionNode(const rclcpp::NodeOptions & node_
 rcl_interfaces::msg::SetParametersResult MapBasedPredictionNode::onParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   updateParam(parameters, "max_lateral_accel", max_lateral_accel_);
   updateParam(parameters, "min_acceleration_before_curve", min_acceleration_before_curve_);
@@ -1008,14 +1010,14 @@ void MapBasedPredictionNode::objectsCallback(const TrackedObjects::ConstSharedPt
     if (
       label_for_prediction == ObjectClassification::PEDESTRIAN ||
       label_for_prediction == ObjectClassification::BICYCLE) {
-      const std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+      const std::string object_id = autoware::universe_utils::toHexString(object.object_id);
       current_crosswalk_users.emplace(object_id, object);
     }
   }
   std::unordered_set<std::string> predicted_crosswalk_users_ids;
 
   for (const auto & object : in_objects->objects) {
-    std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+    std::string object_id = autoware::universe_utils::toHexString(object.object_id);
     TrackedObject transformed_object = object;
 
     // transform object frame if it's based on map frame
@@ -1034,7 +1036,7 @@ void MapBasedPredictionNode::objectsCallback(const TrackedObjects::ConstSharedPt
     switch (label) {
       case ObjectClassification::PEDESTRIAN:
       case ObjectClassification::BICYCLE: {
-        std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+        std::string object_id = autoware::universe_utils::toHexString(object.object_id);
         if (match_lost_and_appeared_crosswalk_users_) {
           object_id = tryMatchNewObjectToDisappeared(object_id, current_crosswalk_users);
         }
@@ -1337,11 +1339,11 @@ bool MapBasedPredictionNode::isIntersecting(
   const geometry_msgs::msg::Point & point1, const geometry_msgs::msg::Point & point2,
   const lanelet::ConstPoint3d & point3, const lanelet::ConstPoint3d & point4)
 {
-  const auto p1 = tier4_autoware_utils::createPoint(point1.x, point1.y, 0.0);
-  const auto p2 = tier4_autoware_utils::createPoint(point2.x, point2.y, 0.0);
-  const auto p3 = tier4_autoware_utils::createPoint(point3.x(), point3.y(), 0.0);
-  const auto p4 = tier4_autoware_utils::createPoint(point4.x(), point4.y(), 0.0);
-  const auto intersection = tier4_autoware_utils::intersect(p1, p2, p3, p4);
+  const auto p1 = autoware::universe_utils::createPoint(point1.x, point1.y, 0.0);
+  const auto p2 = autoware::universe_utils::createPoint(point2.x, point2.y, 0.0);
+  const auto p3 = autoware::universe_utils::createPoint(point3.x(), point3.y(), 0.0);
+  const auto p4 = autoware::universe_utils::createPoint(point4.x(), point4.y(), 0.0);
+  const auto intersection = autoware::universe_utils::intersect(p1, p2, p3, p4);
   return intersection.has_value();
 }
 
@@ -1489,7 +1491,7 @@ void MapBasedPredictionNode::updateObjectData(TrackedObject & object)
   // Compute yaw angle from the velocity and position of the object
   const auto & object_pose = object.kinematics.pose_with_covariance.pose;
   const auto & object_twist = object.kinematics.twist_with_covariance.twist;
-  const auto future_object_pose = tier4_autoware_utils::calcOffsetPose(
+  const auto future_object_pose = autoware::universe_utils::calcOffsetPose(
     object_pose, object_twist.linear.x * 0.1, object_twist.linear.y * 0.1, 0.0);
 
   // assumption: the object vx is much larger than vy
@@ -1508,15 +1510,16 @@ void MapBasedPredictionNode::updateObjectData(TrackedObject & object)
         tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation);
       // flip the angle
       object.kinematics.pose_with_covariance.pose.orientation =
-        tier4_autoware_utils::createQuaternionFromYaw(tier4_autoware_utils::pi + original_yaw);
+        autoware::universe_utils::createQuaternionFromYaw(
+          autoware::universe_utils::pi + original_yaw);
       break;
     }
     default: {
-      const auto updated_object_yaw =
-        tier4_autoware_utils::calcAzimuthAngle(object_pose.position, future_object_pose.position);
+      const auto updated_object_yaw = autoware::universe_utils::calcAzimuthAngle(
+        object_pose.position, future_object_pose.position);
 
       object.kinematics.pose_with_covariance.pose.orientation =
-        tier4_autoware_utils::createQuaternionFromYaw(updated_object_yaw);
+        autoware::universe_utils::createQuaternionFromYaw(updated_object_yaw);
       break;
     }
   }
@@ -1533,7 +1536,7 @@ void MapBasedPredictionNode::removeStaleTrafficLightInfo(
     const bool isDisappeared = std::none_of(
       in_objects->objects.begin(), in_objects->objects.end(),
       [&it](autoware_perception_msgs::msg::TrackedObject obj) {
-        return tier4_autoware_utils::toHexString(obj.object_id) == it->first.first;
+        return autoware::universe_utils::toHexString(obj.object_id) == it->first.first;
       });
     if (isDisappeared) {
       it = stopped_times_against_green_.erase(it);
@@ -1642,7 +1645,7 @@ bool MapBasedPredictionNode::checkCloseLaneletCondition(
 
   // If the object is in the objects history, we check if the target lanelet is
   // inside the current lanelets id or following lanelets
-  const std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  const std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   if (road_users_history.count(object_id) != 0) {
     const std::vector<lanelet::ConstLanelet> & possible_lanelet =
       road_users_history.at(object_id).back().future_possible_lanelets;
@@ -1660,7 +1663,7 @@ bool MapBasedPredictionNode::checkCloseLaneletCondition(
   const double lane_yaw = lanelet::utils::getLaneletAngle(
     lanelet.second, object.kinematics.pose_with_covariance.pose.position);
   const double delta_yaw = object_yaw - lane_yaw;
-  const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+  const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
   const double abs_norm_delta = std::fabs(normalized_delta_yaw);
 
   // Step3. Check if the closest lanelet is valid, and add all
@@ -1687,7 +1690,7 @@ float MapBasedPredictionNode::calculateLocalLikelihood(
   const double obj_yaw = tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation);
   const double lane_yaw = lanelet::utils::getLaneletAngle(current_lanelet, obj_point);
   const double delta_yaw = obj_yaw - lane_yaw;
-  const double abs_norm_delta_yaw = std::fabs(tier4_autoware_utils::normalizeRadian(delta_yaw));
+  const double abs_norm_delta_yaw = std::fabs(autoware::universe_utils::normalizeRadian(delta_yaw));
 
   // compute lateral distance
   const auto centerline = current_lanelet.centerline();
@@ -1697,7 +1700,7 @@ float MapBasedPredictionNode::calculateLocalLikelihood(
     converted_centerline.push_back(converted_p);
   }
   const double lat_dist =
-    std::fabs(motion_utils::calcLateralOffset(converted_centerline, obj_point));
+    std::fabs(autoware::motion_utils::calcLateralOffset(converted_centerline, obj_point));
 
   // Compute Chi-squared distributed (Equation (8) in the paper)
   const double sigma_d = sigma_lateral_offset_;  // Standard Deviation for lateral position
@@ -1716,7 +1719,7 @@ void MapBasedPredictionNode::updateRoadUsersHistory(
   const std_msgs::msg::Header & header, const TrackedObject & object,
   const LaneletsData & current_lanelets_data)
 {
-  std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   const auto current_lanelets = getLanelets(current_lanelets_data);
 
   ObjectData single_object_data;
@@ -1725,7 +1728,8 @@ void MapBasedPredictionNode::updateRoadUsersHistory(
   single_object_data.future_possible_lanelets = current_lanelets;
   single_object_data.pose = object.kinematics.pose_with_covariance.pose;
   const double object_yaw = tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation);
-  single_object_data.pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(object_yaw);
+  single_object_data.pose.orientation =
+    autoware::universe_utils::createQuaternionFromYaw(object_yaw);
   single_object_data.time_delay = std::fabs((this->get_clock()->now() - header.stamp).seconds());
   single_object_data.twist = object.kinematics.twist_with_covariance.twist;
 
@@ -1929,7 +1933,7 @@ Maneuver MapBasedPredictionNode::predictObjectManeuver(
     throw std::logic_error("Lane change detection method is invalid.");
   }();
 
-  const std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  const std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   if (road_users_history.count(object_id) == 0) {
     return current_maneuver;
   }
@@ -1968,7 +1972,7 @@ Maneuver MapBasedPredictionNode::predictObjectManeuverByTimeToLaneChange(
   const double /*object_detected_time*/)
 {
   // Step1. Check if we have the object in the buffer
-  const std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  const std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   if (road_users_history.count(object_id) == 0) {
     return Maneuver::LANE_FOLLOW;
   }
@@ -2039,7 +2043,7 @@ Maneuver MapBasedPredictionNode::predictObjectManeuverByLatDiffDistance(
   const double /*object_detected_time*/)
 {
   // Step1. Check if we have the object in the buffer
-  const std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  const std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   if (road_users_history.count(object_id) == 0) {
     return Maneuver::LANE_FOLLOW;
   }
@@ -2077,7 +2081,7 @@ Maneuver MapBasedPredictionNode::predictObjectManeuverByLatDiffDistance(
   for (const auto & lanelet : prev_lanelets) {
     const double lane_yaw = lanelet::utils::getLaneletAngle(lanelet, prev_pose.position);
     const double delta_yaw = tf2::getYaw(prev_pose.orientation) - lane_yaw;
-    const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+    const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
     if (normalized_delta_yaw < closest_prev_yaw) {
       closest_prev_yaw = normalized_delta_yaw;
       prev_lanelet = lanelet;
@@ -2087,7 +2091,7 @@ Maneuver MapBasedPredictionNode::predictObjectManeuverByLatDiffDistance(
   // Step4. Check if the vehicle has changed lane
   const auto current_lanelet = current_lanelet_data.lanelet;
   const auto current_pose = object.kinematics.pose_with_covariance.pose;
-  const double dist = tier4_autoware_utils::calcDistance2d(prev_pose, current_pose);
+  const double dist = autoware::universe_utils::calcDistance2d(prev_pose, current_pose);
   lanelet::routing::LaneletPaths possible_paths =
     routing_graph_ptr_->possiblePaths(prev_lanelet, dist + 2.0, 0, false);
   bool has_lane_changed = true;
@@ -2172,8 +2176,8 @@ geometry_msgs::msg::Pose MapBasedPredictionNode::compensateTimeDelay(
   const double curr_yaw = prev_yaw + wz * dt;
 
   geometry_msgs::msg::Pose current_pose;
-  current_pose.position = tier4_autoware_utils::createPoint(curr_x, curr_y, curr_z);
-  current_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(curr_yaw);
+  current_pose.position = autoware::universe_utils::createPoint(curr_x, curr_y, curr_z);
+  current_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(curr_yaw);
 
   return current_pose;
 }
@@ -2185,10 +2189,10 @@ double MapBasedPredictionNode::calcRightLateralOffset(
   for (size_t i = 0; i < boundary_path.size(); ++i) {
     const double x = boundary_line[i].x();
     const double y = boundary_line[i].y();
-    boundary_path[i] = tier4_autoware_utils::createPoint(x, y, 0.0);
+    boundary_path[i] = autoware::universe_utils::createPoint(x, y, 0.0);
   }
 
-  return std::fabs(motion_utils::calcLateralOffset(boundary_path, search_pose.position));
+  return std::fabs(autoware::motion_utils::calcLateralOffset(boundary_path, search_pose.position));
 }
 
 double MapBasedPredictionNode::calcLeftLateralOffset(
@@ -2200,7 +2204,7 @@ double MapBasedPredictionNode::calcLeftLateralOffset(
 void MapBasedPredictionNode::updateFuturePossibleLanelets(
   const TrackedObject & object, const lanelet::routing::LaneletPaths & paths)
 {
-  std::string object_id = tier4_autoware_utils::toHexString(object.object_id);
+  std::string object_id = autoware::universe_utils::toHexString(object.object_id);
   if (road_users_history.count(object_id) == 0) {
     return;
   }
@@ -2327,7 +2331,7 @@ std::vector<PosePath> MapBasedPredictionNode::convertPathType(
 
           const double lane_yaw = std::atan2(
             current_p.position.y - prev_p.position.y, current_p.position.x - prev_p.position.x);
-          current_p.orientation = tier4_autoware_utils::createQuaternionFromYaw(lane_yaw);
+          current_p.orientation = autoware::universe_utils::createQuaternionFromYaw(lane_yaw);
           converted_path.push_back(current_p);
           prev_p = current_p;
         }
@@ -2349,7 +2353,7 @@ std::vector<PosePath> MapBasedPredictionNode::convertPathType(
         // Prevent from inserting same points
         if (!converted_path.empty()) {
           const auto last_p = converted_path.back();
-          const double tmp_dist = tier4_autoware_utils::calcDistance2d(last_p, current_p);
+          const double tmp_dist = autoware::universe_utils::calcDistance2d(last_p, current_p);
           if (tmp_dist < 1e-6) {
             prev_p = current_p;
             continue;
@@ -2358,7 +2362,7 @@ std::vector<PosePath> MapBasedPredictionNode::convertPathType(
 
         const double lane_yaw = std::atan2(
           current_p.position.y - prev_p.position.y, current_p.position.x - prev_p.position.x);
-        current_p.orientation = tier4_autoware_utils::createQuaternionFromYaw(lane_yaw);
+        current_p.orientation = autoware::universe_utils::createQuaternionFromYaw(lane_yaw);
         converted_path.push_back(current_p);
         prev_p = current_p;
       }
@@ -2366,7 +2370,7 @@ std::vector<PosePath> MapBasedPredictionNode::convertPathType(
 
     // Resample Path
     const auto resampled_converted_path =
-      motion_utils::resamplePoseVector(converted_path, reference_path_resolution_);
+      autoware::motion_utils::resamplePoseVector(converted_path, reference_path_resolution_);
     converted_paths.push_back(resampled_converted_path);
   }
 
@@ -2398,7 +2402,7 @@ bool MapBasedPredictionNode::isDuplicated(
   for (const auto & prev_predicted_path : predicted_paths) {
     const auto prev_path_end = prev_predicted_path.path.back().position;
     const auto current_path_end = predicted_path.path.back().position;
-    const double dist = tier4_autoware_utils::calcDistance2d(prev_path_end, current_path_end);
+    const double dist = autoware::universe_utils::calcDistance2d(prev_path_end, current_path_end);
     if (dist < CLOSE_PATH_THRESHOLD) {
       return true;
     }
@@ -2447,10 +2451,11 @@ bool MapBasedPredictionNode::calcIntentionToCrossWithTrafficSignal(
     return elem_opt ? elem_opt.value().color : TrafficLightElement::UNKNOWN;
   }();
 
-  const auto key = std::make_pair(tier4_autoware_utils::toHexString(object.object_id), signal_id);
+  const auto key =
+    std::make_pair(autoware::universe_utils::toHexString(object.object_id), signal_id);
   if (
     signal_color == TrafficLightElement::GREEN &&
-    tier4_autoware_utils::calcNorm(object.kinematics.twist_with_covariance.twist.linear) <
+    autoware::universe_utils::calcNorm(object.kinematics.twist_with_covariance.twist.linear) <
       threshold_velocity_assumed_as_stopping_) {
     stopped_times_against_green_.try_emplace(key, this->get_clock()->now());
 
diff --git a/perception/autoware_map_based_prediction/src/path_generator.cpp b/perception/autoware_map_based_prediction/src/path_generator.cpp
index 873219ffcf130..aeb1b0fedd33f 100644
--- a/perception/autoware_map_based_prediction/src/path_generator.cpp
+++ b/perception/autoware_map_based_prediction/src/path_generator.cpp
@@ -14,9 +14,9 @@
 
 #include "map_based_prediction/path_generator.hpp"
 
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <interpolation/spline_interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <algorithm>
 
@@ -49,8 +49,9 @@ PredictedPath PathGenerator::generatePathToTargetPoint(
   const auto arrival_time = pedestrian_to_entry_point.norm() / velocity;
 
   const auto pedestrian_to_entry_point_normalized = pedestrian_to_entry_point.normalized();
-  const auto pedestrian_to_entry_point_orientation = tier4_autoware_utils::createQuaternionFromYaw(
-    std::atan2(pedestrian_to_entry_point_normalized.y(), pedestrian_to_entry_point_normalized.x()));
+  const auto pedestrian_to_entry_point_orientation =
+    autoware::universe_utils::createQuaternionFromYaw(std::atan2(
+      pedestrian_to_entry_point_normalized.y(), pedestrian_to_entry_point_normalized.x()));
 
   for (double dt = 0.0; dt < arrival_time + ep; dt += sampling_time_interval_) {
     geometry_msgs::msg::Pose world_frame_pose;
@@ -92,10 +93,11 @@ PredictedPath PathGenerator::generatePathForCrosswalkUser(
   const auto arrival_time = pedestrian_to_entry_point.norm() / velocity;
 
   const auto pedestrian_to_entry_point_normalized = pedestrian_to_entry_point.normalized();
-  const auto pedestrian_to_entry_point_orientation = tier4_autoware_utils::createQuaternionFromYaw(
-    std::atan2(pedestrian_to_entry_point_normalized.y(), pedestrian_to_entry_point_normalized.x()));
+  const auto pedestrian_to_entry_point_orientation =
+    autoware::universe_utils::createQuaternionFromYaw(std::atan2(
+      pedestrian_to_entry_point_normalized.y(), pedestrian_to_entry_point_normalized.x()));
   const auto entry_to_exit_point_normalized = entry_to_exit_point.normalized();
-  const auto entry_to_exit_point_orientation = tier4_autoware_utils::createQuaternionFromYaw(
+  const auto entry_to_exit_point_orientation = autoware::universe_utils::createQuaternionFromYaw(
     std::atan2(entry_to_exit_point_normalized.y(), entry_to_exit_point_normalized.x()));
 
   for (double dt = 0.0; dt < duration + ep; dt += sampling_time_interval_) {
@@ -172,7 +174,7 @@ PredictedPath PathGenerator::generateStraightPath(
   path.time_step = rclcpp::Duration::from_seconds(sampling_time_interval_);
   path.path.reserve(static_cast<size_t>((duration) / sampling_time_interval_));
   for (double dt = 0.0; dt < duration; dt += sampling_time_interval_) {
-    const auto future_obj_pose = tier4_autoware_utils::calcOffsetPose(
+    const auto future_obj_pose = autoware::universe_utils::calcOffsetPose(
       object_pose, object_twist.linear.x * dt, object_twist.linear.y * dt, 0.0);
     path.path.push_back(future_obj_pose);
   }
@@ -185,7 +187,7 @@ PredictedPath PathGenerator::generatePolynomialPath(
   const double lateral_duration, const double speed_limit) const
 {
   // Get current Frenet Point
-  const double ref_path_len = motion_utils::calcArcLength(ref_path);
+  const double ref_path_len = autoware::motion_utils::calcArcLength(ref_path);
   const auto current_point = getFrenetPoint(object, ref_path, speed_limit, duration);
 
   // Step1. Set Target Frenet Point
@@ -317,7 +319,7 @@ PosePath PathGenerator::interpolateReferencePath(
     base_path_y.at(i) = base_path.at(i).position.y;
     base_path_z.at(i) = base_path.at(i).position.z;
     if (i > 0) {
-      base_path_s.at(i) = base_path_s.at(i - 1) + tier4_autoware_utils::calcDistance2d(
+      base_path_s.at(i) = base_path_s.at(i - 1) + autoware::universe_utils::calcDistance2d(
                                                     base_path.at(i - 1), base_path.at(i));
     }
   }
@@ -342,16 +344,16 @@ PosePath PathGenerator::interpolateReferencePath(
   for (size_t i = 0; i < interpolate_num - 1; ++i) {
     geometry_msgs::msg::Pose interpolated_pose;
     const auto current_point =
-      tier4_autoware_utils::createPoint(spline_ref_path_x.at(i), spline_ref_path_y.at(i), 0.0);
-    const auto next_point = tier4_autoware_utils::createPoint(
+      autoware::universe_utils::createPoint(spline_ref_path_x.at(i), spline_ref_path_y.at(i), 0.0);
+    const auto next_point = autoware::universe_utils::createPoint(
       spline_ref_path_x.at(i + 1), spline_ref_path_y.at(i + 1), 0.0);
-    const double yaw = tier4_autoware_utils::calcAzimuthAngle(current_point, next_point);
-    interpolated_pose.position = tier4_autoware_utils::createPoint(
+    const double yaw = autoware::universe_utils::calcAzimuthAngle(current_point, next_point);
+    interpolated_pose.position = autoware::universe_utils::createPoint(
       spline_ref_path_x.at(i), spline_ref_path_y.at(i), spline_ref_path_z.at(i));
-    interpolated_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+    interpolated_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
     interpolated_path.at(i) = interpolated_pose;
   }
-  interpolated_path.back().position = tier4_autoware_utils::createPoint(
+  interpolated_path.back().position = autoware::universe_utils::createPoint(
     spline_ref_path_x.back(), spline_ref_path_y.back(), spline_ref_path_z.back());
   interpolated_path.back().orientation = interpolated_path.at(interpolate_num - 2).orientation;
 
@@ -373,14 +375,15 @@ PredictedPath PathGenerator::convertToPredictedPath(
     const auto & frenet_point = frenet_predicted_path.at(i);
 
     // Converted Pose
-    auto predicted_pose = tier4_autoware_utils::calcOffsetPose(ref_pose, 0.0, frenet_point.d, 0.0);
+    auto predicted_pose =
+      autoware::universe_utils::calcOffsetPose(ref_pose, 0.0, frenet_point.d, 0.0);
     predicted_pose.position.z = object.kinematics.pose_with_covariance.pose.position.z;
     if (i == 0) {
       predicted_pose.orientation = object.kinematics.pose_with_covariance.pose.orientation;
     } else {
-      const double yaw = tier4_autoware_utils::calcAzimuthAngle(
+      const double yaw = autoware::universe_utils::calcAzimuthAngle(
         predicted_path.path.at(i - 1).position, predicted_pose.position);
-      predicted_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+      predicted_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
     }
     predicted_path.path.at(i) = predicted_pose;
   }
@@ -395,9 +398,10 @@ FrenetPoint PathGenerator::getFrenetPoint(
   FrenetPoint frenet_point;
   const auto obj_point = object.kinematics.pose_with_covariance.pose.position;
 
-  const size_t nearest_segment_idx = motion_utils::findNearestSegmentIndex(ref_path, obj_point);
-  const double l =
-    motion_utils::calcLongitudinalOffsetToSegment(ref_path, nearest_segment_idx, obj_point);
+  const size_t nearest_segment_idx =
+    autoware::motion_utils::findNearestSegmentIndex(ref_path, obj_point);
+  const double l = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+    ref_path, nearest_segment_idx, obj_point);
   const float vx = static_cast<float>(object.kinematics.twist_with_covariance.twist.linear.x);
   const float vy = static_cast<float>(object.kinematics.twist_with_covariance.twist.linear.y);
   const float obj_yaw =
@@ -476,8 +480,9 @@ FrenetPoint PathGenerator::getFrenetPoint(
   const float acceleration_adjusted_velocity_x = get_acceleration_adjusted_velocity(vx, ax);
   const float acceleration_adjusted_velocity_y = get_acceleration_adjusted_velocity(vy, ay);
 
-  frenet_point.s = motion_utils::calcSignedArcLength(ref_path, 0, nearest_segment_idx) + l;
-  frenet_point.d = motion_utils::calcLateralOffset(ref_path, obj_point);
+  frenet_point.s =
+    autoware::motion_utils::calcSignedArcLength(ref_path, 0, nearest_segment_idx) + l;
+  frenet_point.d = autoware::motion_utils::calcLateralOffset(ref_path, obj_point);
   frenet_point.s_vel = acceleration_adjusted_velocity_x * std::cos(delta_yaw) -
                        acceleration_adjusted_velocity_y * std::sin(delta_yaw);
   frenet_point.d_vel = acceleration_adjusted_velocity_x * std::sin(delta_yaw) +
diff --git a/perception/cluster_merger/include/cluster_merger/node.hpp b/perception/cluster_merger/include/cluster_merger/node.hpp
index f36116378af78..a60a76f1c2ef0 100644
--- a/perception/cluster_merger/include/cluster_merger/node.hpp
+++ b/perception/cluster_merger/include/cluster_merger/node.hpp
@@ -15,11 +15,11 @@
 #ifndef CLUSTER_MERGER__NODE_HPP_
 #define CLUSTER_MERGER__NODE_HPP_
 
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "message_filters/subscriber.h"
 #include "message_filters/sync_policies/approximate_time.h"
 #include "message_filters/synchronizer.h"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include "tier4_perception_msgs/msg/detected_objects_with_feature.hpp"
 
@@ -59,7 +59,7 @@ class ClusterMergerNode : public rclcpp::Node
   std::string output_frame_id_;
 
   std::vector<rclcpp::Subscription<DetectedObjectsWithFeature>::SharedPtr> sub_objects_array{};
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   void objectsCallback(
     const DetectedObjectsWithFeature::ConstSharedPtr & input_objects0_msg,
diff --git a/perception/cluster_merger/package.xml b/perception/cluster_merger/package.xml
index 220837bfd7e4e..17455dc27b6cc 100644
--- a/perception/cluster_merger/package.xml
+++ b/perception/cluster_merger/package.xml
@@ -12,12 +12,12 @@
 
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>message_filters</depend>
   <depend>object_recognition_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
   <build_depend>autoware_cmake</build_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/compare_map_segmentation/CMakeLists.txt b/perception/compare_map_segmentation/CMakeLists.txt
index d56cb3fb31584..a76b0fc56e2a0 100644
--- a/perception/compare_map_segmentation/CMakeLists.txt
+++ b/perception/compare_map_segmentation/CMakeLists.txt
@@ -44,7 +44,7 @@ ament_target_dependencies(compare_map_segmentation
   rclcpp
   rclcpp_components
   sensor_msgs
-  tier4_autoware_utils
+  autoware_universe_utils
   autoware_map_msgs
   nav_msgs
 )
diff --git a/perception/compare_map_segmentation/package.xml b/perception/compare_map_segmentation/package.xml
index ca427db9811ba..7403dc0713475 100644
--- a/perception/compare_map_segmentation/package.xml
+++ b/perception/compare_map_segmentation/package.xml
@@ -18,6 +18,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>grid_map_pcl</depend>
   <depend>grid_map_ros</depend>
   <depend>nav_msgs</depend>
@@ -26,7 +27,6 @@
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/perception/compare_map_segmentation/src/distance_based_compare_map_filter_nodelet.cpp b/perception/compare_map_segmentation/src/distance_based_compare_map_filter_nodelet.cpp
index 0f870d37c0de1..2962ba1e28a75 100644
--- a/perception/compare_map_segmentation/src/distance_based_compare_map_filter_nodelet.cpp
+++ b/perception/compare_map_segmentation/src/distance_based_compare_map_filter_nodelet.cpp
@@ -109,8 +109,8 @@ DistanceBasedCompareMapFilterComponent::DistanceBasedCompareMapFilterComponent(
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "distance_based_compare_map_filter");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/compare_map_segmentation/src/voxel_based_approximate_compare_map_filter_nodelet.cpp b/perception/compare_map_segmentation/src/voxel_based_approximate_compare_map_filter_nodelet.cpp
index 7ad479a6e74bd..e14ae7d55a1d4 100644
--- a/perception/compare_map_segmentation/src/voxel_based_approximate_compare_map_filter_nodelet.cpp
+++ b/perception/compare_map_segmentation/src/voxel_based_approximate_compare_map_filter_nodelet.cpp
@@ -72,8 +72,8 @@ VoxelBasedApproximateCompareMapFilterComponent::VoxelBasedApproximateCompareMapF
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ =
       std::make_unique<DebugPublisher>(this, "voxel_based_approximate_compare_map_filter");
diff --git a/perception/compare_map_segmentation/src/voxel_based_compare_map_filter_nodelet.cpp b/perception/compare_map_segmentation/src/voxel_based_compare_map_filter_nodelet.cpp
index 595336145dabd..449ae76181bc6 100644
--- a/perception/compare_map_segmentation/src/voxel_based_compare_map_filter_nodelet.cpp
+++ b/perception/compare_map_segmentation/src/voxel_based_compare_map_filter_nodelet.cpp
@@ -31,8 +31,8 @@ VoxelBasedCompareMapFilterComponent::VoxelBasedCompareMapFilterComponent(
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "voxel_based_compare_map_filter");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/compare_map_segmentation/src/voxel_distance_based_compare_map_filter_nodelet.cpp b/perception/compare_map_segmentation/src/voxel_distance_based_compare_map_filter_nodelet.cpp
index f169e2069aee7..0a660bfffd7fb 100644
--- a/perception/compare_map_segmentation/src/voxel_distance_based_compare_map_filter_nodelet.cpp
+++ b/perception/compare_map_segmentation/src/voxel_distance_based_compare_map_filter_nodelet.cpp
@@ -101,8 +101,8 @@ VoxelDistanceBasedCompareMapFilterComponent::VoxelDistanceBasedCompareMapFilterC
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ =
       std::make_unique<DebugPublisher>(this, "voxel_distance_based_compare_map_filter");
diff --git a/perception/detected_object_feature_remover/include/detected_object_feature_remover/detected_object_feature_remover.hpp b/perception/detected_object_feature_remover/include/detected_object_feature_remover/detected_object_feature_remover.hpp
index 424ff87cbc0d7..02e4c9c3ca29a 100644
--- a/perception/detected_object_feature_remover/include/detected_object_feature_remover/detected_object_feature_remover.hpp
+++ b/perception/detected_object_feature_remover/include/detected_object_feature_remover/detected_object_feature_remover.hpp
@@ -15,8 +15,8 @@
 #ifndef DETECTED_OBJECT_FEATURE_REMOVER__DETECTED_OBJECT_FEATURE_REMOVER_HPP_
 #define DETECTED_OBJECT_FEATURE_REMOVER__DETECTED_OBJECT_FEATURE_REMOVER_HPP_
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <tier4_perception_msgs/msg/detected_objects_with_feature.hpp>
@@ -36,7 +36,7 @@ class DetectedObjectFeatureRemover : public rclcpp::Node
 private:
   rclcpp::Subscription<DetectedObjectsWithFeature>::SharedPtr sub_;
   rclcpp::Publisher<DetectedObjects>::SharedPtr pub_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
   void objectCallback(const DetectedObjectsWithFeature::ConstSharedPtr input);
   void convert(const DetectedObjectsWithFeature & objs_with_feature, DetectedObjects & objs);
 };
diff --git a/perception/detected_object_feature_remover/package.xml b/perception/detected_object_feature_remover/package.xml
index 4beafa18d5146..9eb47e0e69557 100644
--- a/perception/detected_object_feature_remover/package.xml
+++ b/perception/detected_object_feature_remover/package.xml
@@ -11,9 +11,9 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/perception/detected_object_feature_remover/src/detected_object_feature_remover.cpp b/perception/detected_object_feature_remover/src/detected_object_feature_remover.cpp
index c5f977a4a3354..3fe9e6fde8683 100644
--- a/perception/detected_object_feature_remover/src/detected_object_feature_remover.cpp
+++ b/perception/detected_object_feature_remover/src/detected_object_feature_remover.cpp
@@ -23,7 +23,8 @@ DetectedObjectFeatureRemover::DetectedObjectFeatureRemover(const rclcpp::NodeOpt
   pub_ = this->create_publisher<DetectedObjects>("~/output", rclcpp::QoS(1));
   sub_ = this->create_subscription<DetectedObjectsWithFeature>(
     "~/input", 1, std::bind(&DetectedObjectFeatureRemover::objectCallback, this, _1));
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void DetectedObjectFeatureRemover::objectCallback(
diff --git a/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_lanelet_filter.hpp b/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_lanelet_filter.hpp
index fa28362d85fe8..9b9894d56a424 100644
--- a/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_lanelet_filter.hpp
+++ b/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_lanelet_filter.hpp
@@ -17,11 +17,11 @@
 
 #include "detected_object_validation/utils/utils.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
@@ -35,10 +35,10 @@
 
 namespace object_lanelet_filter
 {
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
 class ObjectLaneletFilterNode : public rclcpp::Node
 {
@@ -52,7 +52,7 @@ class ObjectLaneletFilterNode : public rclcpp::Node
   rclcpp::Publisher<autoware_perception_msgs::msg::DetectedObjects>::SharedPtr object_pub_;
   rclcpp::Subscription<autoware_map_msgs::msg::LaneletMapBin>::SharedPtr map_sub_;
   rclcpp::Subscription<autoware_perception_msgs::msg::DetectedObjects>::SharedPtr object_sub_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_{nullptr};
 
   lanelet::LaneletMapPtr lanelet_map_ptr_;
   lanelet::ConstLanelets road_lanelets_;
@@ -89,7 +89,7 @@ class ObjectLaneletFilterNode : public rclcpp::Node
     const autoware_perception_msgs::msg::DetectedObject & object);
   geometry_msgs::msg::Polygon setFootprint(const autoware_perception_msgs::msg::DetectedObject &);
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 
 }  // namespace object_lanelet_filter
diff --git a/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_position_filter.hpp b/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_position_filter.hpp
index 02ec00fe0457f..ea70d62fd952d 100644
--- a/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_position_filter.hpp
+++ b/perception/detected_object_validation/include/detected_object_validation/detected_object_filter/object_position_filter.hpp
@@ -17,9 +17,9 @@
 
 #include "detected_object_validation/utils/utils.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
@@ -54,7 +54,7 @@ class ObjectPositionFilterNode : public rclcpp::Node
   utils::FilterTargetLabel filter_target_;
   bool isObjectInBounds(const autoware_perception_msgs::msg::DetectedObject & object) const;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 
 }  // namespace object_position_filter
diff --git a/perception/detected_object_validation/include/detected_object_validation/obstacle_pointcloud_based_validator/obstacle_pointcloud_based_validator.hpp b/perception/detected_object_validation/include/detected_object_validation/obstacle_pointcloud_based_validator/obstacle_pointcloud_based_validator.hpp
index 5362dab62432a..47685dec7dbdc 100644
--- a/perception/detected_object_validation/include/detected_object_validation/obstacle_pointcloud_based_validator/obstacle_pointcloud_based_validator.hpp
+++ b/perception/detected_object_validation/include/detected_object_validation/obstacle_pointcloud_based_validator/obstacle_pointcloud_based_validator.hpp
@@ -19,9 +19,9 @@
 
 #include "detected_object_validation/obstacle_pointcloud_based_validator/debugger.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
@@ -131,7 +131,7 @@ class ObstaclePointCloudBasedValidator : public rclcpp::Node
   rclcpp::Publisher<autoware_perception_msgs::msg::DetectedObjects>::SharedPtr objects_pub_;
   message_filters::Subscriber<autoware_perception_msgs::msg::DetectedObjects> objects_sub_;
   message_filters::Subscriber<sensor_msgs::msg::PointCloud2> obstacle_pointcloud_sub_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_{nullptr};
   tf2_ros::Buffer tf_buffer_;
   tf2_ros::TransformListener tf_listener_;
 
@@ -145,7 +145,7 @@ class ObstaclePointCloudBasedValidator : public rclcpp::Node
   std::shared_ptr<Debugger> debugger_;
   bool using_2d_validator_;
   std::unique_ptr<Validator> validator_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
 private:
   void onObjectsAndObstaclePointCloud(
diff --git a/perception/detected_object_validation/include/detected_object_validation/occupancy_grid_based_validator/occupancy_grid_based_validator.hpp b/perception/detected_object_validation/include/detected_object_validation/occupancy_grid_based_validator/occupancy_grid_based_validator.hpp
index 62c3e43d8e730..beb8faf5db1a3 100644
--- a/perception/detected_object_validation/include/detected_object_validation/occupancy_grid_based_validator/occupancy_grid_based_validator.hpp
+++ b/perception/detected_object_validation/include/detected_object_validation/occupancy_grid_based_validator/occupancy_grid_based_validator.hpp
@@ -15,11 +15,11 @@
 #ifndef DETECTED_OBJECT_VALIDATION__OCCUPANCY_GRID_BASED_VALIDATOR__OCCUPANCY_GRID_BASED_VALIDATOR_HPP_
 #define DETECTED_OBJECT_VALIDATION__OCCUPANCY_GRID_BASED_VALIDATOR__OCCUPANCY_GRID_BASED_VALIDATOR_HPP_
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
 #include <opencv2/opencv.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <nav_msgs/msg/occupancy_grid.hpp>
@@ -43,7 +43,7 @@ class OccupancyGridBasedValidator : public rclcpp::Node
   message_filters::Subscriber<nav_msgs::msg::OccupancyGrid> occ_grid_sub_;
   tf2_ros::Buffer tf_buffer_;
   tf2_ros::TransformListener tf_listener_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   typedef message_filters::sync_policies::ApproximateTime<
     autoware_perception_msgs::msg::DetectedObjects, nav_msgs::msg::OccupancyGrid>
diff --git a/perception/detected_object_validation/package.xml b/perception/detected_object_validation/package.xml
index c48785438324c..7abfbe6625f01 100644
--- a/perception/detected_object_validation/package.xml
+++ b/perception/detected_object_validation/package.xml
@@ -19,6 +19,7 @@
 
   <depend>autoware_map_msgs</depend>
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>message_filters</depend>
@@ -30,7 +31,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/detected_object_validation/src/object_lanelet_filter.cpp b/perception/detected_object_validation/src/object_lanelet_filter.cpp
index 05c5426944ec7..cc3a600783a8f 100644
--- a/perception/detected_object_validation/src/object_lanelet_filter.cpp
+++ b/perception/detected_object_validation/src/object_lanelet_filter.cpp
@@ -14,10 +14,10 @@
 
 #include "detected_object_validation/detected_object_filter/object_lanelet_filter.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <object_recognition_utils/object_recognition_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <boost/geometry/algorithms/convex_hull.hpp>
 #include <boost/geometry/algorithms/disjoint.hpp>
@@ -63,8 +63,9 @@ ObjectLaneletFilterNode::ObjectLaneletFilterNode(const rclcpp::NodeOptions & nod
     "output/object", rclcpp::QoS{1});
 
   debug_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "object_lanelet_filter");
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+    std::make_unique<autoware::universe_utils::DebugPublisher>(this, "object_lanelet_filter");
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void ObjectLaneletFilterNode::mapCallback(
@@ -236,7 +237,8 @@ bool ObjectLaneletFilterNode::isObjectOverlapLanelets(
     const auto footprint = setFootprint(object);
     for (const auto & point : footprint.points) {
       const geometry_msgs::msg::Point32 point_transformed =
-        tier4_autoware_utils::transformPoint(point, object.kinematics.pose_with_covariance.pose);
+        autoware::universe_utils::transformPoint(
+          point, object.kinematics.pose_with_covariance.pose);
       polygon.outer().emplace_back(point_transformed.x, point_transformed.y);
     }
     polygon.outer().push_back(polygon.outer().front());
@@ -245,7 +247,8 @@ bool ObjectLaneletFilterNode::isObjectOverlapLanelets(
     // if object do not have bounding box, check each footprint is inside polygon
     for (const auto & point : object.shape.footprint.points) {
       const geometry_msgs::msg::Point32 point_transformed =
-        tier4_autoware_utils::transformPoint(point, object.kinematics.pose_with_covariance.pose);
+        autoware::universe_utils::transformPoint(
+          point, object.kinematics.pose_with_covariance.pose);
       geometry_msgs::msg::Pose point2d;
       point2d.position.x = point_transformed.x;
       point2d.position.y = point_transformed.y;
@@ -295,7 +298,7 @@ bool ObjectLaneletFilterNode::isSameDirectionWithLanelets(
     const double lane_yaw = lanelet::utils::getLaneletAngle(
       lanelet, object.kinematics.pose_with_covariance.pose.position);
     const double delta_yaw = object_velocity_yaw - lane_yaw;
-    const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+    const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
     const double abs_norm_delta_yaw = std::fabs(normalized_delta_yaw);
 
     if (abs_norm_delta_yaw < filter_settings_.lanelet_direction_filter_velocity_yaw_threshold) {
diff --git a/perception/detected_object_validation/src/object_position_filter.cpp b/perception/detected_object_validation/src/object_position_filter.cpp
index 278b4829cae40..dccff8a6ccc67 100644
--- a/perception/detected_object_validation/src/object_position_filter.cpp
+++ b/perception/detected_object_validation/src/object_position_filter.cpp
@@ -42,7 +42,8 @@ ObjectPositionFilterNode::ObjectPositionFilterNode(const rclcpp::NodeOptions & n
     "input/object", rclcpp::QoS{1}, std::bind(&ObjectPositionFilterNode::objectCallback, this, _1));
   object_pub_ = this->create_publisher<autoware_perception_msgs::msg::DetectedObjects>(
     "output/object", rclcpp::QoS{1});
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void ObjectPositionFilterNode::objectCallback(
diff --git a/perception/detected_object_validation/src/obstacle_pointcloud_based_validator.cpp b/perception/detected_object_validation/src/obstacle_pointcloud_based_validator.cpp
index 0dd3c1ed08f15..fbb3f863be7c4 100644
--- a/perception/detected_object_validation/src/obstacle_pointcloud_based_validator.cpp
+++ b/perception/detected_object_validation/src/obstacle_pointcloud_based_validator.cpp
@@ -14,8 +14,8 @@
 
 #include "detected_object_validation/obstacle_pointcloud_based_validator/obstacle_pointcloud_based_validator.hpp"
 
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 #include <object_recognition_utils/object_recognition_utils.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -33,7 +33,7 @@ namespace obstacle_pointcloud_based_validator
 {
 namespace bg = boost::geometry;
 using Shape = autoware_perception_msgs::msg::Shape;
-using Polygon2d = tier4_autoware_utils::Polygon2d;
+using Polygon2d = autoware::universe_utils::Polygon2d;
 
 Validator::Validator(PointsNumThresholdParam & points_num_threshold_param)
 {
@@ -96,8 +96,8 @@ std::optional<size_t> Validator2D::getPointCloudWithinObject(
 {
   std::vector<pcl::Vertices> vertices_array;
   pcl::Vertices vertices;
-  Polygon2d poly2d =
-    tier4_autoware_utils::toPolygon2d(object.kinematics.pose_with_covariance.pose, object.shape);
+  Polygon2d poly2d = autoware::universe_utils::toPolygon2d(
+    object.kinematics.pose_with_covariance.pose, object.shape);
   if (bg::is_empty(poly2d)) return std::nullopt;
 
   pcl::PointCloud<pcl::PointXYZ>::Ptr poly3d(new pcl::PointCloud<pcl::PointXYZ>);
@@ -211,8 +211,8 @@ std::optional<size_t> Validator3D::getPointCloudWithinObject(
   auto const object_height = object.shape.dimensions.x;
   auto z_min = object_position.z - object_height / 2.0f;
   auto z_max = object_position.z + object_height / 2.0f;
-  Polygon2d poly2d =
-    tier4_autoware_utils::toPolygon2d(object.kinematics.pose_with_covariance.pose, object.shape);
+  Polygon2d poly2d = autoware::universe_utils::toPolygon2d(
+    object.kinematics.pose_with_covariance.pose, object.shape);
   if (bg::is_empty(poly2d)) return std::nullopt;
 
   pcl::PointCloud<pcl::PointXYZ>::Ptr poly3d(new pcl::PointCloud<pcl::PointXYZ>);
@@ -304,12 +304,13 @@ ObstaclePointCloudBasedValidator::ObstaclePointCloudBasedValidator(
 
   objects_pub_ = create_publisher<autoware_perception_msgs::msg::DetectedObjects>(
     "~/output/objects", rclcpp::QoS{1});
-  debug_publisher_ = std::make_unique<tier4_autoware_utils::DebugPublisher>(
+  debug_publisher_ = std::make_unique<autoware::universe_utils::DebugPublisher>(
     this, "obstacle_pointcloud_based_validator");
 
   const bool enable_debugger = declare_parameter<bool>("enable_debugger", false);
   if (enable_debugger) debugger_ = std::make_shared<Debugger>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 void ObstaclePointCloudBasedValidator::onObjectsAndObstaclePointCloud(
   const autoware_perception_msgs::msg::DetectedObjects::ConstSharedPtr & input_objects,
diff --git a/perception/detected_object_validation/src/occupancy_grid_based_validator.cpp b/perception/detected_object_validation/src/occupancy_grid_based_validator.cpp
index 792483eeebf81..b8682a6e56b3b 100644
--- a/perception/detected_object_validation/src/occupancy_grid_based_validator.cpp
+++ b/perception/detected_object_validation/src/occupancy_grid_based_validator.cpp
@@ -14,9 +14,9 @@
 
 #include "detected_object_validation/occupancy_grid_based_validator/occupancy_grid_based_validator.hpp"
 
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 #include <object_recognition_utils/object_classification.hpp>
 #include <object_recognition_utils/object_recognition_utils.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
 
 #include <boost/optional.hpp>
 
@@ -33,7 +33,7 @@
 namespace occupancy_grid_based_validator
 {
 using Shape = autoware_perception_msgs::msg::Shape;
-using Polygon2d = tier4_autoware_utils::Polygon2d;
+using Polygon2d = autoware::universe_utils::Polygon2d;
 
 OccupancyGridBasedValidator::OccupancyGridBasedValidator(const rclcpp::NodeOptions & node_options)
 : rclcpp::Node("occupancy_grid_based_validator", node_options),
@@ -52,7 +52,8 @@ OccupancyGridBasedValidator::OccupancyGridBasedValidator(const rclcpp::NodeOptio
 
   mean_threshold_ = declare_parameter<float>("mean_threshold", 0.6);
   enable_debug_ = declare_parameter<bool>("enable_debug", false);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void OccupancyGridBasedValidator::onObjectsAndOccGrid(
@@ -106,8 +107,8 @@ std::optional<cv::Mat> OccupancyGridBasedValidator::getMask(
   const auto & resolution = occupancy_grid.info.resolution;
   const auto & origin = occupancy_grid.info.origin;
   std::vector<cv::Point> pixel_vertices;
-  Polygon2d poly2d =
-    tier4_autoware_utils::toPolygon2d(object.kinematics.pose_with_covariance.pose, object.shape);
+  Polygon2d poly2d = autoware::universe_utils::toPolygon2d(
+    object.kinematics.pose_with_covariance.pose, object.shape);
 
   bool is_polygon_within_image = true;
   for (const auto & p : poly2d.outer()) {
diff --git a/perception/detection_by_tracker/include/detection_by_tracker/debugger.hpp b/perception/detection_by_tracker/include/detection_by_tracker/debugger.hpp
index 51e93bfea33dd..0169082a2253a 100644
--- a/perception/detection_by_tracker/include/detection_by_tracker/debugger.hpp
+++ b/perception/detection_by_tracker/include/detection_by_tracker/debugger.hpp
@@ -15,13 +15,13 @@
 #ifndef DETECTION_BY_TRACKER__DEBUGGER_HPP_
 #define DETECTION_BY_TRACKER__DEBUGGER_HPP_
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <euclidean_cluster/euclidean_cluster.hpp>
 #include <euclidean_cluster/utils.hpp>
 #include <euclidean_cluster/voxel_grid_based_euclidean_cluster.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <shape_estimation/shape_estimator.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <autoware_perception_msgs/msg/tracked_objects.hpp>
@@ -60,9 +60,9 @@ class Debugger
     divided_objects_pub_ = node->create_publisher<autoware_perception_msgs::msg::DetectedObjects>(
       "debug/divided_objects", 1);
     processing_time_publisher_ =
-      std::make_unique<tier4_autoware_utils::DebugPublisher>(node, "detection_by_tracker");
+      std::make_unique<autoware::universe_utils::DebugPublisher>(node, "detection_by_tracker");
     stop_watch_ptr_ =
-      std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+      std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
     this->startStopWatch();
   }
 
@@ -103,8 +103,8 @@ class Debugger
   rclcpp::Publisher<autoware_perception_msgs::msg::DetectedObjects>::SharedPtr merged_objects_pub_;
   rclcpp::Publisher<autoware_perception_msgs::msg::DetectedObjects>::SharedPtr divided_objects_pub_;
   // debug publisher
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
 
   autoware_perception_msgs::msg::DetectedObjects removeFeature(
     const tier4_perception_msgs::msg::DetectedObjectsWithFeature & input)
diff --git a/perception/detection_by_tracker/include/detection_by_tracker/detection_by_tracker_core.hpp b/perception/detection_by_tracker/include/detection_by_tracker/detection_by_tracker_core.hpp
index d0e5cc8436ec8..d6d030aadb000 100644
--- a/perception/detection_by_tracker/include/detection_by_tracker/detection_by_tracker_core.hpp
+++ b/perception/detection_by_tracker/include/detection_by_tracker/detection_by_tracker_core.hpp
@@ -18,12 +18,12 @@
 #include "detection_by_tracker/debugger.hpp"
 #include "detection_by_tracker/utils.hpp"
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <euclidean_cluster/euclidean_cluster.hpp>
 #include <euclidean_cluster/utils.hpp>
 #include <euclidean_cluster/voxel_grid_based_euclidean_cluster.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <shape_estimation/shape_estimator.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <autoware_perception_msgs/msg/tracked_objects.hpp>
@@ -84,7 +84,7 @@ class DetectionByTracker : public rclcpp::Node
 
   detection_by_tracker::utils::TrackerIgnoreLabel tracker_ignore_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   void setMaxSearchRange();
 
diff --git a/perception/detection_by_tracker/package.xml b/perception/detection_by_tracker/package.xml
index dae58f2d7da78..52d4d3fcdd7a2 100644
--- a/perception/detection_by_tracker/package.xml
+++ b/perception/detection_by_tracker/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>euclidean_cluster</depend>
   <depend>libpcl-all-dev</depend>
@@ -24,7 +25,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/detection_by_tracker/src/detection_by_tracker_core.cpp b/perception/detection_by_tracker/src/detection_by_tracker_core.cpp
index 8ee6cc2739b43..4e502b359120d 100644
--- a/perception/detection_by_tracker/src/detection_by_tracker_core.cpp
+++ b/perception/detection_by_tracker/src/detection_by_tracker_core.cpp
@@ -16,8 +16,8 @@
 
 #include "object_recognition_utils/object_recognition_utils.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <chrono>
 #include <memory>
@@ -61,7 +61,7 @@ boost::optional<ReferenceYawInfo> getReferenceYawInfo(const uint8_t label, const
   const bool is_vehicle =
     Label::CAR == label || Label::TRUCK == label || Label::BUS == label || Label::TRAILER == label;
   if (is_vehicle) {
-    return ReferenceYawInfo{yaw, tier4_autoware_utils::deg2rad(30)};
+    return ReferenceYawInfo{yaw, autoware::universe_utils::deg2rad(30)};
   } else {
     return boost::none;
   }
@@ -136,9 +136,9 @@ bool TrackerHandler::estimateTrackedObjects(
     estimated_object.kinematics.pose_with_covariance.pose.position.y =
       y + vx * std::sin(yaw) * dt.seconds();
     estimated_object.kinematics.pose_with_covariance.pose.position.z = z;
-    const float yaw_hat = tier4_autoware_utils::normalizeRadian(yaw + wz * dt.seconds());
+    const float yaw_hat = autoware::universe_utils::normalizeRadian(yaw + wz * dt.seconds());
     estimated_object.kinematics.pose_with_covariance.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(yaw_hat);
+      autoware::universe_utils::createQuaternionFromYaw(yaw_hat);
     output.objects.push_back(estimated_object);
   }
   return true;
@@ -177,7 +177,8 @@ DetectionByTracker::DetectionByTracker(const rclcpp::NodeOptions & node_options)
   cluster_ = std::make_shared<euclidean_cluster::VoxelGridBasedEuclideanCluster>(
     false, 10, 10000, 0.7, 0.3, 0);
   debugger_ = std::make_shared<Debugger>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void DetectionByTracker::setMaxSearchRange()
@@ -283,7 +284,7 @@ void DetectionByTracker::divideUnderSegmentedObjects(
 
     for (const auto & initial_object : in_cluster_objects.feature_objects) {
       // search near object
-      const float distance = tier4_autoware_utils::calcDistance2d(
+      const float distance = autoware::universe_utils::calcDistance2d(
         tracked_object.kinematics.pose_with_covariance.pose,
         initial_object.object.kinematics.pose_with_covariance.pose);
       if (max_search_range < distance) {
@@ -419,7 +420,7 @@ void DetectionByTracker::mergeOverSegmentedObjects(
 
     pcl::PointCloud<pcl::PointXYZ> pcl_merged_cluster;
     for (const auto & initial_object : in_cluster_objects.feature_objects) {
-      const float distance = tier4_autoware_utils::calcDistance2d(
+      const float distance = autoware::universe_utils::calcDistance2d(
         tracked_object.kinematics.pose_with_covariance.pose,
         initial_object.object.kinematics.pose_with_covariance.pose);
 
diff --git a/perception/elevation_map_loader/include/elevation_map_loader/elevation_map_loader_node.hpp b/perception/elevation_map_loader/include/elevation_map_loader/elevation_map_loader_node.hpp
index 88f7bf4a9c2a9..fda0fcddc1bc7 100644
--- a/perception/elevation_map_loader/include/elevation_map_loader/elevation_map_loader_node.hpp
+++ b/perception/elevation_map_loader/include/elevation_map_loader/elevation_map_loader_node.hpp
@@ -15,12 +15,12 @@
 #ifndef ELEVATION_MAP_LOADER__ELEVATION_MAP_LOADER_NODE_HPP_
 #define ELEVATION_MAP_LOADER__ELEVATION_MAP_LOADER_NODE_HPP_
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <filters/filter_chain.hpp>
 #include <grid_map_core/GridMap.hpp>
 #include <grid_map_pcl/GridMapPclLoader.hpp>
 #include <grid_map_ros/GridMapRosConverter.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include "tier4_external_api_msgs/msg/map_hash.hpp"
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
diff --git a/perception/elevation_map_loader/package.xml b/perception/elevation_map_loader/package.xml
index 26412539d8571..afbd88da84bde 100644
--- a/perception/elevation_map_loader/package.xml
+++ b/perception/elevation_map_loader/package.xml
@@ -12,11 +12,12 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_grid_map_utils</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>grid_map_cv</depend>
   <depend>grid_map_pcl</depend>
   <depend>grid_map_ros</depend>
-  <depend>grid_map_utils</depend>
   <depend>lanelet2_extension</depend>
   <depend>libpcl-all-dev</depend>
   <depend>pcl_conversions</depend>
@@ -25,7 +26,6 @@
   <depend>rosbag2_storage_default_plugins</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_external_api_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/elevation_map_loader/src/elevation_map_loader_node.cpp b/perception/elevation_map_loader/src/elevation_map_loader_node.cpp
index afb85fc9318de..3b249e45ae194 100644
--- a/perception/elevation_map_loader/src/elevation_map_loader_node.cpp
+++ b/perception/elevation_map_loader/src/elevation_map_loader_node.cpp
@@ -14,12 +14,12 @@
 
 #include "elevation_map_loader/elevation_map_loader_node.hpp"
 
+#include <autoware_grid_map_utils/polygon_iterator.hpp>
 #include <grid_map_core/GridMap.hpp>
 #include <grid_map_cv/InpaintFilter.hpp>
 #include <grid_map_pcl/GridMapPclLoader.hpp>
 #include <grid_map_pcl/helpers.hpp>
 #include <grid_map_ros/GridMapRosConverter.hpp>
-#include <grid_map_utils/polygon_iterator.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <rclcpp/logger.hpp>
@@ -356,7 +356,7 @@ void ElevationMapLoaderNode::inpaintElevationMap(const float radius)
   // Convert elevation layer to OpenCV image to fill in holes.
   // Get the inpaint mask (nonzero pixels indicate where values need to be filled in).
   namespace bg = boost::geometry;
-  using tier4_autoware_utils::Point2d;
+  using autoware::universe_utils::Point2d;
 
   elevation_map_.add("inpaint_mask", 0.0);
 
@@ -382,8 +382,8 @@ void ElevationMapLoaderNode::inpaintElevationMap(const float radius)
       for (const auto & p : lane_polygon) {
         polygon.addVertex(grid_map::Position(p[0], p[1]));
       }
-      for (grid_map_utils::PolygonIterator iterator(elevation_map_, polygon); !iterator.isPastEnd();
-           ++iterator) {
+      for (autoware::grid_map_utils::PolygonIterator iterator(elevation_map_, polygon);
+           !iterator.isPastEnd(); ++iterator) {
         if (!elevation_map_.isValid(*iterator, layer_name_)) {
           elevation_map_.at("inpaint_mask", *iterator) = 1.0;
         }
diff --git a/perception/euclidean_cluster/src/euclidean_cluster_node.cpp b/perception/euclidean_cluster/src/euclidean_cluster_node.cpp
index 746ef1bafb583..f986b0334935f 100644
--- a/perception/euclidean_cluster/src/euclidean_cluster_node.cpp
+++ b/perception/euclidean_cluster/src/euclidean_cluster_node.cpp
@@ -38,9 +38,10 @@ EuclideanClusterNode::EuclideanClusterNode(const rclcpp::NodeOptions & options)
   cluster_pub_ = this->create_publisher<tier4_perception_msgs::msg::DetectedObjectsWithFeature>(
     "output", rclcpp::QoS{1});
   debug_pub_ = this->create_publisher<sensor_msgs::msg::PointCloud2>("debug/clusters", 1);
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   debug_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "euclidean_cluster");
+    std::make_unique<autoware::universe_utils::DebugPublisher>(this, "euclidean_cluster");
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
 }
diff --git a/perception/euclidean_cluster/src/euclidean_cluster_node.hpp b/perception/euclidean_cluster/src/euclidean_cluster_node.hpp
index 16e179b2512d3..92f10696d17dc 100644
--- a/perception/euclidean_cluster/src/euclidean_cluster_node.hpp
+++ b/perception/euclidean_cluster/src/euclidean_cluster_node.hpp
@@ -16,9 +16,9 @@
 
 #include "euclidean_cluster/euclidean_cluster.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
@@ -41,8 +41,8 @@ class EuclideanClusterNode : public rclcpp::Node
   rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::SharedPtr debug_pub_;
 
   std::shared_ptr<EuclideanCluster> cluster_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace euclidean_cluster
diff --git a/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.cpp b/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.cpp
index 7e6a456561900..e9425095a3b0d 100644
--- a/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.cpp
+++ b/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.cpp
@@ -42,8 +42,9 @@ VoxelGridBasedEuclideanClusterNode::VoxelGridBasedEuclideanClusterNode(
   cluster_pub_ = this->create_publisher<tier4_perception_msgs::msg::DetectedObjectsWithFeature>(
     "output", rclcpp::QoS{1});
   debug_pub_ = this->create_publisher<sensor_msgs::msg::PointCloud2>("debug/clusters", 1);
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
-  debug_publisher_ = std::make_unique<tier4_autoware_utils::DebugPublisher>(
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
+  debug_publisher_ = std::make_unique<autoware::universe_utils::DebugPublisher>(
     this, "voxel_grid_based_euclidean_cluster");
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
diff --git a/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.hpp b/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.hpp
index 18330b5f12074..b0c5d0e5a7fbf 100644
--- a/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.hpp
+++ b/perception/euclidean_cluster/src/voxel_grid_based_euclidean_cluster_node.hpp
@@ -16,9 +16,9 @@
 
 #include "euclidean_cluster/voxel_grid_based_euclidean_cluster.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
@@ -41,8 +41,8 @@ class VoxelGridBasedEuclideanClusterNode : public rclcpp::Node
   rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::SharedPtr debug_pub_;
 
   std::shared_ptr<VoxelGridBasedEuclideanCluster> cluster_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace euclidean_cluster
diff --git a/perception/ground_segmentation/include/ground_segmentation/scan_ground_filter_nodelet.hpp b/perception/ground_segmentation/include/ground_segmentation/scan_ground_filter_nodelet.hpp
index 314c9cfb97a75..3ae41173a7a7d 100644
--- a/perception/ground_segmentation/include/ground_segmentation/scan_ground_filter_nodelet.hpp
+++ b/perception/ground_segmentation/include/ground_segmentation/scan_ground_filter_nodelet.hpp
@@ -280,9 +280,9 @@ class ScanGroundFilterComponent : public pointcloud_preprocessor::Filter
   rcl_interfaces::msg::SetParametersResult onParameter(const std::vector<rclcpp::Parameter> & p);
 
   // debugger
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
 
 public:
   EIGEN_MAKE_ALIGNED_OPERATOR_NEW
diff --git a/perception/ground_segmentation/src/scan_ground_filter_nodelet.cpp b/perception/ground_segmentation/src/scan_ground_filter_nodelet.cpp
index e638baba12521..7853aa400b6a5 100644
--- a/perception/ground_segmentation/src/scan_ground_filter_nodelet.cpp
+++ b/perception/ground_segmentation/src/scan_ground_filter_nodelet.cpp
@@ -14,10 +14,10 @@
 
 #include "ground_segmentation/scan_ground_filter_nodelet.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <memory>
 #include <string>
@@ -25,12 +25,12 @@
 
 namespace ground_segmentation
 {
+using autoware::universe_utils::calcDistance3d;
+using autoware::universe_utils::deg2rad;
+using autoware::universe_utils::normalizeDegree;
+using autoware::universe_utils::normalizeRadian;
 using autoware::vehicle_info_utils::VehicleInfoUtils;
 using pointcloud_preprocessor::get_param;
-using tier4_autoware_utils::calcDistance3d;
-using tier4_autoware_utils::deg2rad;
-using tier4_autoware_utils::normalizeDegree;
-using tier4_autoware_utils::normalizeRadian;
 
 ScanGroundFilterComponent::ScanGroundFilterComponent(const rclcpp::NodeOptions & options)
 : Filter("ScanGroundFilter", options)
@@ -79,8 +79,8 @@ ScanGroundFilterComponent::ScanGroundFilterComponent(const rclcpp::NodeOptions &
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ = std::make_unique<DebugPublisher>(this, "scan_ground_filter");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/image_projection_based_fusion/CMakeLists.txt b/perception/image_projection_based_fusion/CMakeLists.txt
index 0f4cb7112f74a..b6dfbaf402cc8 100644
--- a/perception/image_projection_based_fusion/CMakeLists.txt
+++ b/perception/image_projection_based_fusion/CMakeLists.txt
@@ -127,6 +127,7 @@ if(TRT_AVAIL AND CUDA_AVAIL AND CUDNN_AVAIL)
 
   ament_auto_add_library(pointpainting_lib SHARED
     src/pointpainting_fusion/node.cpp
+    src/pointpainting_fusion/pointcloud_densification.cpp
     src/pointpainting_fusion/pointpainting_trt.cpp
     src/pointpainting_fusion/voxel_generator.cpp
   )
diff --git a/perception/image_projection_based_fusion/include/image_projection_based_fusion/fusion_node.hpp b/perception/image_projection_based_fusion/include/image_projection_based_fusion/fusion_node.hpp
index a2a78c99cd5ba..df8bf66433300 100644
--- a/perception/image_projection_based_fusion/include/image_projection_based_fusion/fusion_node.hpp
+++ b/perception/image_projection_based_fusion/include/image_projection_based_fusion/fusion_node.hpp
@@ -15,10 +15,10 @@
 #ifndef IMAGE_PROJECTION_BASED_FUSION__FUSION_NODE_HPP_
 #define IMAGE_PROJECTION_BASED_FUSION__FUSION_NODE_HPP_
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <image_projection_based_fusion/debugger.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <sensor_msgs/msg/camera_info.hpp>
@@ -138,8 +138,8 @@ class FusionNode : public rclcpp::Node
   float filter_scope_max_z_;
 
   /** \brief processing time publisher. **/
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace image_projection_based_fusion
diff --git a/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/pointcloud_densification.hpp b/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/pointcloud_densification.hpp
new file mode 100644
index 0000000000000..03609eb18e689
--- /dev/null
+++ b/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/pointcloud_densification.hpp
@@ -0,0 +1,72 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef IMAGE_PROJECTION_BASED_FUSION__POINTPAINTING_FUSION__POINTCLOUD_DENSIFICATION_HPP_
+#define IMAGE_PROJECTION_BASED_FUSION__POINTPAINTING_FUSION__POINTCLOUD_DENSIFICATION_HPP_
+
+#include <tf2_ros/buffer.h>
+#include <tf2_ros/transform_listener.h>
+#ifdef ROS_DISTRO_GALACTIC
+#include <tf2_sensor_msgs/tf2_sensor_msgs.h>
+#else
+#include <tf2_sensor_msgs/tf2_sensor_msgs.hpp>
+#endif
+
+#include <lidar_centerpoint/preprocess/pointcloud_densification.hpp>
+
+#include <list>
+#include <string>
+#include <utility>
+
+namespace image_projection_based_fusion
+{
+struct PointCloudWithTransform
+{
+  sensor_msgs::msg::PointCloud2 pointcloud_msg;
+  Eigen::Affine3f affine_past2world;
+};
+
+class PointCloudDensification
+{
+public:
+  explicit PointCloudDensification(const centerpoint::DensificationParam & param);
+
+  bool enqueuePointCloud(
+    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer);
+
+  double getCurrentTimestamp() const { return current_timestamp_; }
+  Eigen::Affine3f getAffineWorldToCurrent() const { return affine_world2current_; }
+  std::list<PointCloudWithTransform>::iterator getPointCloudCacheIter()
+  {
+    return pointcloud_cache_.begin();
+  }
+  bool isCacheEnd(std::list<PointCloudWithTransform>::iterator iter)
+  {
+    return iter == pointcloud_cache_.end();
+  }
+  unsigned int pointcloud_cache_size() const { return param_.pointcloud_cache_size(); }
+
+private:
+  void enqueue(const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine);
+  void dequeue();
+
+  centerpoint::DensificationParam param_;
+  double current_timestamp_{0.0};
+  Eigen::Affine3f affine_world2current_;
+  std::list<PointCloudWithTransform> pointcloud_cache_;
+};
+
+}  // namespace image_projection_based_fusion
+
+#endif  // IMAGE_PROJECTION_BASED_FUSION__POINTPAINTING_FUSION__POINTCLOUD_DENSIFICATION_HPP_
diff --git a/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/voxel_generator.hpp b/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/voxel_generator.hpp
old mode 100755
new mode 100644
index d0f44b9d58706..4cdca8e49ac7e
--- a/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/voxel_generator.hpp
+++ b/perception/image_projection_based_fusion/include/image_projection_based_fusion/pointpainting_fusion/voxel_generator.hpp
@@ -15,19 +15,35 @@
 #ifndef IMAGE_PROJECTION_BASED_FUSION__POINTPAINTING_FUSION__VOXEL_GENERATOR_HPP_
 #define IMAGE_PROJECTION_BASED_FUSION__POINTPAINTING_FUSION__VOXEL_GENERATOR_HPP_
 
+#include <image_projection_based_fusion/pointpainting_fusion/pointcloud_densification.hpp>
+#include <lidar_centerpoint/preprocess/pointcloud_densification.hpp>
 #include <lidar_centerpoint/preprocess/voxel_generator.hpp>
 
 #include <bitset>
+#include <memory>
 #include <vector>
 
 namespace image_projection_based_fusion
 {
-class VoxelGenerator : public centerpoint::VoxelGenerator
+
+class VoxelGenerator
 {
 public:
-  using centerpoint::VoxelGenerator::VoxelGenerator;
+  explicit VoxelGenerator(
+    const centerpoint::DensificationParam & param, const centerpoint::CenterPointConfig & config);
+
+  bool enqueuePointCloud(
+    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer);
+
+  std::size_t generateSweepPoints(std::vector<float> & points);
+
+protected:
+  std::unique_ptr<PointCloudDensification> pd_ptr_{nullptr};
 
-  std::size_t generateSweepPoints(std::vector<float> & points) override;
+  centerpoint::CenterPointConfig config_;
+  std::array<float, 6> range_;
+  std::array<int, 3> grid_size_;
+  std::array<float, 3> recip_voxel_size_;
 };
 }  // namespace image_projection_based_fusion
 
diff --git a/perception/image_projection_based_fusion/include/image_projection_based_fusion/roi_detected_object_fusion/node.hpp b/perception/image_projection_based_fusion/include/image_projection_based_fusion/roi_detected_object_fusion/node.hpp
index a59b6992c5328..65e03c6bc6316 100644
--- a/perception/image_projection_based_fusion/include/image_projection_based_fusion/roi_detected_object_fusion/node.hpp
+++ b/perception/image_projection_based_fusion/include/image_projection_based_fusion/roi_detected_object_fusion/node.hpp
@@ -15,8 +15,8 @@
 #ifndef IMAGE_PROJECTION_BASED_FUSION__ROI_DETECTED_OBJECT_FUSION__NODE_HPP_
 #define IMAGE_PROJECTION_BASED_FUSION__ROI_DETECTED_OBJECT_FUSION__NODE_HPP_
 
+#include "autoware/universe_utils/ros/debug_publisher.hpp"
 #include "image_projection_based_fusion/fusion_node.hpp"
-#include "tier4_autoware_utils/ros/debug_publisher.hpp"
 
 #include "autoware_perception_msgs/msg/object_classification.hpp"
 
diff --git a/perception/image_projection_based_fusion/include/image_projection_based_fusion/utils/utils.hpp b/perception/image_projection_based_fusion/include/image_projection_based_fusion/utils/utils.hpp
index 0b6497135612e..ffa1666396a1d 100644
--- a/perception/image_projection_based_fusion/include/image_projection_based_fusion/utils/utils.hpp
+++ b/perception/image_projection_based_fusion/include/image_projection_based_fusion/utils/utils.hpp
@@ -34,10 +34,10 @@
 
 #include "image_projection_based_fusion/fusion_node.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include "autoware_perception_msgs/msg/shape.hpp"
 #include "tier4_perception_msgs/msg/detected_object_with_feature.hpp"
diff --git a/perception/image_projection_based_fusion/package.xml b/perception/image_projection_based_fusion/package.xml
index c1bd85cb945de..8d5a2ef1fe519 100644
--- a/perception/image_projection_based_fusion/package.xml
+++ b/perception/image_projection_based_fusion/package.xml
@@ -18,6 +18,7 @@
 
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_point_types</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>cv_bridge</depend>
   <depend>euclidean_cluster</depend>
   <depend>image_transport</depend>
@@ -33,7 +34,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_ros</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
diff --git a/perception/image_projection_based_fusion/src/fusion_node.cpp b/perception/image_projection_based_fusion/src/fusion_node.cpp
index fa2dcd2b0e7e1..20273fd1de547 100644
--- a/perception/image_projection_based_fusion/src/fusion_node.cpp
+++ b/perception/image_projection_based_fusion/src/fusion_node.cpp
@@ -130,8 +130,8 @@ FusionNode<TargetMsg3D, ObjType, Msg2D>::FusionNode(
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, get_name());
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/image_projection_based_fusion/src/pointpainting_fusion/node.cpp b/perception/image_projection_based_fusion/src/pointpainting_fusion/node.cpp
index 24ff1245813ac..7973c22cc1d78 100644
--- a/perception/image_projection_based_fusion/src/pointpainting_fusion/node.cpp
+++ b/perception/image_projection_based_fusion/src/pointpainting_fusion/node.cpp
@@ -16,6 +16,8 @@
 
 #include "autoware_point_types/types.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
 #include <image_projection_based_fusion/utils/geometry.hpp>
 #include <image_projection_based_fusion/utils/utils.hpp>
 #include <lidar_centerpoint/centerpoint_config.hpp>
@@ -23,8 +25,6 @@
 #include <lidar_centerpoint/ros_utils.hpp>
 #include <lidar_centerpoint/utils.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
 
 #include <omp.h>
 
diff --git a/perception/image_projection_based_fusion/src/pointpainting_fusion/pointcloud_densification.cpp b/perception/image_projection_based_fusion/src/pointpainting_fusion/pointcloud_densification.cpp
new file mode 100644
index 0000000000000..9edf6a73cd59b
--- /dev/null
+++ b/perception/image_projection_based_fusion/src/pointpainting_fusion/pointcloud_densification.cpp
@@ -0,0 +1,103 @@
+// Copyright 2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "image_projection_based_fusion/pointpainting_fusion/pointcloud_densification.hpp"
+
+#include <pcl_ros/transforms.hpp>
+
+#include <boost/optional.hpp>
+
+#include <pcl_conversions/pcl_conversions.h>
+#ifdef ROS_DISTRO_GALACTIC
+#include <tf2_eigen/tf2_eigen.h>
+#else
+#include <tf2_eigen/tf2_eigen.hpp>
+#endif
+
+#include <string>
+#include <utility>
+
+namespace
+{
+boost::optional<geometry_msgs::msg::Transform> getTransform(
+  const tf2_ros::Buffer & tf_buffer, const std::string & target_frame_id,
+  const std::string & source_frame_id, const rclcpp::Time & time)
+{
+  try {
+    geometry_msgs::msg::TransformStamped transform_stamped;
+    transform_stamped = tf_buffer.lookupTransform(
+      target_frame_id, source_frame_id, time, rclcpp::Duration::from_seconds(0.5));
+    return transform_stamped.transform;
+  } catch (tf2::TransformException & ex) {
+    RCLCPP_WARN_STREAM(rclcpp::get_logger("lidar_centerpoint"), ex.what());
+    return boost::none;
+  }
+}
+
+Eigen::Affine3f transformToEigen(const geometry_msgs::msg::Transform & t)
+{
+  Eigen::Affine3f a;
+  a.matrix() = tf2::transformToEigen(t).matrix().cast<float>();
+  return a;
+}
+
+}  // namespace
+
+namespace image_projection_based_fusion
+{
+PointCloudDensification::PointCloudDensification(const centerpoint::DensificationParam & param)
+: param_(param)
+{
+}
+
+bool PointCloudDensification::enqueuePointCloud(
+  const sensor_msgs::msg::PointCloud2 & pointcloud_msg, const tf2_ros::Buffer & tf_buffer)
+{
+  const auto header = pointcloud_msg.header;
+
+  if (param_.pointcloud_cache_size() > 1) {
+    auto transform_world2current =
+      getTransform(tf_buffer, header.frame_id, param_.world_frame_id(), header.stamp);
+    if (!transform_world2current) {
+      return false;
+    }
+    auto affine_world2current = transformToEigen(transform_world2current.get());
+
+    enqueue(pointcloud_msg, affine_world2current);
+  } else {
+    enqueue(pointcloud_msg, Eigen::Affine3f::Identity());
+  }
+
+  dequeue();
+
+  return true;
+}
+
+void PointCloudDensification::enqueue(
+  const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine_world2current)
+{
+  affine_world2current_ = affine_world2current;
+  current_timestamp_ = rclcpp::Time(msg.header.stamp).seconds();
+  PointCloudWithTransform pointcloud = {msg, affine_world2current.inverse()};
+  pointcloud_cache_.push_front(pointcloud);
+}
+
+void PointCloudDensification::dequeue()
+{
+  if (pointcloud_cache_.size() > param_.pointcloud_cache_size()) {
+    pointcloud_cache_.pop_back();
+  }
+}
+
+}  // namespace image_projection_based_fusion
diff --git a/perception/image_projection_based_fusion/src/pointpainting_fusion/pointpainting_trt.cpp b/perception/image_projection_based_fusion/src/pointpainting_fusion/pointpainting_trt.cpp
index d44620995c61b..c1e431ed83c99 100644
--- a/perception/image_projection_based_fusion/src/pointpainting_fusion/pointpainting_trt.cpp
+++ b/perception/image_projection_based_fusion/src/pointpainting_fusion/pointpainting_trt.cpp
@@ -14,10 +14,10 @@
 
 #include "image_projection_based_fusion/pointpainting_fusion/pointpainting_trt.hpp"
 
+#include <autoware/universe_utils/math/constants.hpp>
 #include <image_projection_based_fusion/pointpainting_fusion/preprocess_kernel.hpp>
 #include <lidar_centerpoint/centerpoint_config.hpp>
 #include <lidar_centerpoint/network/scatter_kernel.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
 
 #include <iostream>
 #include <memory>
diff --git a/perception/image_projection_based_fusion/src/pointpainting_fusion/voxel_generator.cpp b/perception/image_projection_based_fusion/src/pointpainting_fusion/voxel_generator.cpp
index ea10cb1237436..cb3fc33d3e022 100755
--- a/perception/image_projection_based_fusion/src/pointpainting_fusion/voxel_generator.cpp
+++ b/perception/image_projection_based_fusion/src/pointpainting_fusion/voxel_generator.cpp
@@ -18,6 +18,32 @@
 
 namespace image_projection_based_fusion
 {
+
+VoxelGenerator::VoxelGenerator(
+  const centerpoint::DensificationParam & param, const centerpoint::CenterPointConfig & config)
+: config_(config)
+{
+  pd_ptr_ = std::make_unique<PointCloudDensification>(param);
+  range_[0] = config.range_min_x_;
+  range_[1] = config.range_min_y_;
+  range_[2] = config.range_min_z_;
+  range_[3] = config.range_max_x_;
+  range_[4] = config.range_max_y_;
+  range_[5] = config.range_max_z_;
+  grid_size_[0] = config.grid_size_x_;
+  grid_size_[1] = config.grid_size_y_;
+  grid_size_[2] = config.grid_size_z_;
+  recip_voxel_size_[0] = 1 / config.voxel_size_x_;
+  recip_voxel_size_[1] = 1 / config.voxel_size_y_;
+  recip_voxel_size_[2] = 1 / config.voxel_size_z_;
+}
+
+bool VoxelGenerator::enqueuePointCloud(
+  const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer)
+{
+  return pd_ptr_->enqueuePointCloud(input_pointcloud_msg, tf_buffer);
+}
+
 size_t VoxelGenerator::generateSweepPoints(std::vector<float> & points)
 {
   Eigen::Vector3f point_current, point_past;
diff --git a/perception/image_projection_based_fusion/src/roi_pointcloud_fusion/node.cpp b/perception/image_projection_based_fusion/src/roi_pointcloud_fusion/node.cpp
index cb462e103a216..ea5c2005bdd46 100644
--- a/perception/image_projection_based_fusion/src/roi_pointcloud_fusion/node.cpp
+++ b/perception/image_projection_based_fusion/src/roi_pointcloud_fusion/node.cpp
@@ -42,14 +42,14 @@ RoiPointCloudFusionNode::RoiPointCloudFusionNode(const rclcpp::NodeOptions & opt
   cluster_debug_pub_ = this->create_publisher<sensor_msgs::msg::PointCloud2>("debug/clusters", 1);
 }
 
-void RoiPointCloudFusionNode::preprocess(__attribute__((unused))
-                                         sensor_msgs::msg::PointCloud2 & pointcloud_msg)
+void RoiPointCloudFusionNode::preprocess(
+  __attribute__((unused)) sensor_msgs::msg::PointCloud2 & pointcloud_msg)
 {
   return;
 }
 
-void RoiPointCloudFusionNode::postprocess(__attribute__((unused))
-                                          sensor_msgs::msg::PointCloud2 & pointcloud_msg)
+void RoiPointCloudFusionNode::postprocess(
+  __attribute__((unused)) sensor_msgs::msg::PointCloud2 & pointcloud_msg)
 {
   const auto objects_sub_count = pub_objects_ptr_->get_subscription_count() +
                                  pub_objects_ptr_->get_intra_process_subscription_count();
diff --git a/perception/image_projection_based_fusion/src/utils/utils.cpp b/perception/image_projection_based_fusion/src/utils/utils.cpp
index 950c73bc2fb6d..2e997f3e8e60f 100644
--- a/perception/image_projection_based_fusion/src/utils/utils.cpp
+++ b/perception/image_projection_based_fusion/src/utils/utils.cpp
@@ -70,7 +70,7 @@ void closest_cluster(
     std::memcpy(&point.y, &cluster.data[i * point_step + y_offset], sizeof(float));
     std::memcpy(&point.z, &cluster.data[i * point_step + z_offset], sizeof(float));
 
-    point_data.distance = tier4_autoware_utils::calcDistance2d(center, point);
+    point_data.distance = autoware::universe_utils::calcDistance2d(center, point);
     point_data.orig_index = i;
     points_data.push_back(point_data);
   }
@@ -258,7 +258,7 @@ pcl::PointXYZ getClosestPoint(const pcl::PointCloud<pcl::PointXYZ> & cluster)
   pcl::PointXYZ orig_point = pcl::PointXYZ(0.0, 0.0, 0.0);
   for (std::size_t i = 0; i < cluster.points.size(); ++i) {
     pcl::PointXYZ point = cluster.points.at(i);
-    double dist_closest_point = tier4_autoware_utils::calcDistance2d(point, orig_point);
+    double dist_closest_point = autoware::universe_utils::calcDistance2d(point, orig_point);
     if (min_dist > dist_closest_point) {
       min_dist = dist_closest_point;
       closest_point = pcl::PointXYZ(point.x, point.y, point.z);
diff --git a/perception/lidar_apollo_instance_segmentation/CMakeLists.txt b/perception/lidar_apollo_instance_segmentation/CMakeLists.txt
index c4c73927ad255..462e9d22f9da2 100644
--- a/perception/lidar_apollo_instance_segmentation/CMakeLists.txt
+++ b/perception/lidar_apollo_instance_segmentation/CMakeLists.txt
@@ -8,7 +8,7 @@ find_package(pcl_conversions REQUIRED)
 find_package(rclcpp REQUIRED)
 find_package(rclcpp_components REQUIRED)
 find_package(tf2_eigen REQUIRED)
-find_package(tier4_autoware_utils REQUIRED)
+find_package(autoware_universe_utils REQUIRED)
 find_package(tier4_debug_msgs REQUIRED)
 find_package(tier4_perception_msgs REQUIRED)
 
@@ -40,7 +40,7 @@ target_include_directories(${PROJECT_NAME} PRIVATE
   "$<INSTALL_INTERFACE:include/${PROJECT_NAME}>"
   ${cuda_utils_INCLUDE_DIRS}
   ${pcl_conversions_INCLUDE_DIRS}
-  ${tier4_autoware_utils_INCLUDE_DIRS}
+  ${autoware_universe_utils_INCLUDE_DIRS}
   ${autoware_perception_msgs_INCLUDE_DIRS}
 )
 
diff --git a/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/detector.hpp b/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/detector.hpp
index ca2ae95149e9a..1e5966f5751af 100644
--- a/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/detector.hpp
+++ b/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/detector.hpp
@@ -19,11 +19,11 @@
 #include "feature_generator.hpp"
 #include "lidar_apollo_instance_segmentation/node.hpp"
 
+#include <autoware/universe_utils/transform/transforms.hpp>
 #include <cuda_utils/cuda_unique_ptr.hpp>
 #include <cuda_utils/stream_unique_ptr.hpp>
 #include <tensorrt_common/tensorrt_common.hpp>
 #include <tf2_eigen/tf2_eigen.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
 
 #include <tf2_ros/buffer_interface.h>
 #include <tf2_ros/transform_listener.h>
diff --git a/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/node.hpp b/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/node.hpp
index 0ed5f37b6fa14..f159f125677c4 100644
--- a/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/node.hpp
+++ b/perception/lidar_apollo_instance_segmentation/include/lidar_apollo_instance_segmentation/node.hpp
@@ -17,9 +17,9 @@
 
 #include "lidar_apollo_instance_segmentation/debugger.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <sensor_msgs/msg/point_cloud2.hpp>
 #include <tier4_perception_msgs/msg/detected_objects_with_feature.hpp>
@@ -47,8 +47,8 @@ class LidarInstanceSegmentationNode : public rclcpp::Node
   std::shared_ptr<LidarInstanceSegmentationInterface> detector_ptr_;
   std::shared_ptr<Debugger> debugger_ptr_;
   void pointCloudCallback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr msg);
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 
 public:
   explicit LidarInstanceSegmentationNode(const rclcpp::NodeOptions & node_options);
diff --git a/perception/lidar_apollo_instance_segmentation/package.xml b/perception/lidar_apollo_instance_segmentation/package.xml
index c5b3dbb9c0585..1157b7575933c 100755
--- a/perception/lidar_apollo_instance_segmentation/package.xml
+++ b/perception/lidar_apollo_instance_segmentation/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>ament_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>cuda_utils</depend>
   <depend>libpcl-all-dev</depend>
   <depend>pcl_conversions</depend>
@@ -20,7 +21,6 @@
   <depend>rclcpp_components</depend>
   <depend>tensorrt_common</depend>
   <depend>tf2_eigen</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_perception_msgs</depend>
 
diff --git a/perception/lidar_apollo_instance_segmentation/src/detector.cpp b/perception/lidar_apollo_instance_segmentation/src/detector.cpp
index 236f0998ab21f..b704bab39338a 100644
--- a/perception/lidar_apollo_instance_segmentation/src/detector.cpp
+++ b/perception/lidar_apollo_instance_segmentation/src/detector.cpp
@@ -88,7 +88,8 @@ bool LidarApolloInstanceSegmentation::transformCloud(
         target_frame_, input.header.frame_id, input.header.stamp, std::chrono::milliseconds(500));
       Eigen::Matrix4f affine_matrix =
         tf2::transformToEigen(transform_stamped.transform).matrix().cast<float>();
-      tier4_autoware_utils::transformPointCloud(pcl_input, pcl_transformed_cloud, affine_matrix);
+      autoware::universe_utils::transformPointCloud(
+        pcl_input, pcl_transformed_cloud, affine_matrix);
       transformed_cloud.header.frame_id = target_frame_;
       pcl_transformed_cloud.header.frame_id = target_frame_;
     } catch (tf2::TransformException & ex) {
@@ -103,7 +104,7 @@ bool LidarApolloInstanceSegmentation::transformCloud(
   pcl::PointCloud<pcl::PointXYZI> pointcloud_with_z_offset;
   Eigen::Affine3f z_up_translation(Eigen::Translation3f(0, 0, z_offset));
   Eigen::Matrix4f z_up_transform = z_up_translation.matrix();
-  tier4_autoware_utils::transformPointCloud(
+  autoware::universe_utils::transformPointCloud(
     pcl_transformed_cloud, pcl_transformed_cloud, z_up_transform);
 
   pcl::toROSMsg(pcl_transformed_cloud, transformed_cloud);
diff --git a/perception/lidar_apollo_instance_segmentation/src/node.cpp b/perception/lidar_apollo_instance_segmentation/src/node.cpp
index 5bf8ed0d027e5..93b2f3344de99 100644
--- a/perception/lidar_apollo_instance_segmentation/src/node.cpp
+++ b/perception/lidar_apollo_instance_segmentation/src/node.cpp
@@ -16,8 +16,8 @@
 
 #include "lidar_apollo_instance_segmentation/detector.hpp"
 
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 namespace lidar_apollo_instance_segmentation
 {
@@ -28,8 +28,8 @@ LidarInstanceSegmentationNode::LidarInstanceSegmentationNode(
   using std::placeholders::_1;
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "lidar_apollo_instance_segmentation");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/lidar_apollo_segmentation_tvm/package.xml b/perception/lidar_apollo_segmentation_tvm/package.xml
index 54b4e5d4b7836..643a331e54a5a 100755
--- a/perception/lidar_apollo_segmentation_tvm/package.xml
+++ b/perception/lidar_apollo_segmentation_tvm/package.xml
@@ -14,6 +14,7 @@
   <build_depend>libpcl-all-dev</build_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>pcl_conversions</depend>
   <depend>rclcpp</depend>
@@ -21,7 +22,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
   <depend>tvm_utility</depend>
   <depend>tvm_vendor</depend>
diff --git a/perception/lidar_apollo_segmentation_tvm/src/lidar_apollo_segmentation_tvm.cpp b/perception/lidar_apollo_segmentation_tvm/src/lidar_apollo_segmentation_tvm.cpp
index 85f0a69356d55..e78cd57b3a4a1 100644
--- a/perception/lidar_apollo_segmentation_tvm/src/lidar_apollo_segmentation_tvm.cpp
+++ b/perception/lidar_apollo_segmentation_tvm/src/lidar_apollo_segmentation_tvm.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <autoware/universe_utils/transform/transforms.hpp>
 #include <baidu_cnn/inference_engine_tvm_config.hpp>
 #include <lidar_apollo_segmentation_tvm/feature_map.hpp>
 #include <lidar_apollo_segmentation_tvm/lidar_apollo_segmentation_tvm.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
 #include <tvm_utility/pipeline.hpp>
 
 #include <memory>
@@ -147,7 +147,7 @@ void ApolloLidarSegmentation::transformCloud(
         tf_buffer_->lookupTransform(target_frame_, input.header.frame_id, time_point);
       Eigen::Matrix4f affine_matrix =
         tf2::transformToEigen(transform_stamped.transform).matrix().cast<float>();
-      tier4_autoware_utils::transformPointCloud(
+      autoware::universe_utils::transformPointCloud(
         in_cluster, transformed_cloud_cluster, affine_matrix);
       transformed_cloud_cluster.header.frame_id = target_frame_;
     } else {
@@ -158,7 +158,7 @@ void ApolloLidarSegmentation::transformCloud(
     if (z_offset != 0) {
       Eigen::Affine3f z_up_translation(Eigen::Translation3f(0, 0, z_offset));
       Eigen::Matrix4f z_up_transform = z_up_translation.matrix();
-      tier4_autoware_utils::transformPointCloud(
+      autoware::universe_utils::transformPointCloud(
         transformed_cloud_cluster, transformed_cloud_cluster, z_up_transform);
     }
 
diff --git a/perception/lidar_apollo_segmentation_tvm/src/log_table.cpp b/perception/lidar_apollo_segmentation_tvm/src/log_table.cpp
index a4b967de2e9bc..de2f1734e0733 100644
--- a/perception/lidar_apollo_segmentation_tvm/src/log_table.cpp
+++ b/perception/lidar_apollo_segmentation_tvm/src/log_table.cpp
@@ -46,7 +46,7 @@ float calcApproximateLog(float num)
       return log_table.data[integer_num];
     }
   }
-  return std::log(1.0f + num);
+  return std::log1p(num);
 }
 }  // namespace lidar_apollo_segmentation_tvm
 }  // namespace perception
diff --git a/perception/lidar_centerpoint/README.md b/perception/lidar_centerpoint/README.md
index 04457b63e1a9e..fa42655b6ca1f 100644
--- a/perception/lidar_centerpoint/README.md
+++ b/perception/lidar_centerpoint/README.md
@@ -64,12 +64,207 @@ ros2 launch lidar_centerpoint lidar_centerpoint.launch.xml model_name:=centerpoi
 
 You can download the onnx format of trained models by clicking on the links below.
 
-- Centerpoint : [pts_voxel_encoder_centerpoint.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint.onnx), [pts_backbone_neck_head_centerpoint.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint.onnx)
+- Centerpoint: [pts_voxel_encoder_centerpoint.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint.onnx), [pts_backbone_neck_head_centerpoint.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint.onnx)
 - Centerpoint tiny: [pts_voxel_encoder_centerpoint_tiny.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint_tiny.onnx), [pts_backbone_neck_head_centerpoint_tiny.onnx](https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint_tiny.onnx)
 
 `Centerpoint` was trained in `nuScenes` (~28k lidar frames) [8] and TIER IV's internal database (~11k lidar frames) for 60 epochs.
 `Centerpoint tiny` was trained in `Argoverse 2` (~110k lidar frames) [9] and TIER IV's internal database (~11k lidar frames) for 20 epochs.
 
+## Training CenterPoint Model and Deploying to the Autoware
+
+### Overview
+
+This guide provides instructions on training a CenterPoint model using the **mmdetection3d** repository
+and seamlessly deploying it within Autoware.
+
+### Installation
+
+#### Install prerequisites
+
+**Step 1.** Download and install Miniconda from the [official website](https://mmpretrain.readthedocs.io/en/latest/get_started.html).
+
+**Step 2.** Create a conda virtual environment and activate it
+
+```bash
+conda create --name train-centerpoint python=3.8 -y
+conda activate train-centerpoint
+```
+
+**Step 3.** Install PyTorch
+
+Please ensure you have PyTorch installed, and compatible with CUDA 11.6, as it is a requirement for current Autoware.
+
+```bash
+conda install pytorch==1.13.1 torchvision==0.14.1 pytorch-cuda=11.6 -c pytorch -c nvidia
+```
+
+#### Install mmdetection3d
+
+**Step 1.** Install MMEngine, MMCV, and MMDetection using MIM
+
+```bash
+pip install -U openmim
+mim install mmengine
+mim install 'mmcv>=2.0.0rc4'
+mim install 'mmdet>=3.0.0rc5, <3.3.0'
+```
+
+**Step 2.** Install mmdetection3d forked repository
+
+Introduced several valuable enhancements in our fork of the mmdetection3d repository.
+Notably, we've made the PointPillar z voxel feature input optional to maintain compatibility with the original paper.
+In addition, we've integrated a PyTorch to ONNX converter and a T4 format reader for added functionality.
+
+```bash
+git clone https://github.com/autowarefoundation/mmdetection3d.git
+cd mmdetection3d
+pip install -v -e .
+```
+
+#### Use Training Repository with Docker
+
+Alternatively, you can use Docker to run the mmdetection3d repository. We provide a Dockerfile to build a Docker image with the mmdetection3d repository and its dependencies.
+
+Clone fork of the mmdetection3d repository
+
+```bash
+git clone https://github.com/autowarefoundation/mmdetection3d.git
+```
+
+Build the Docker image by running the following command:
+
+```bash
+cd mmdetection3d
+docker build -t mmdetection3d -f docker/Dockerfile .
+```
+
+Run the Docker container:
+
+```bash
+docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmdetection3d/data mmdetection3d
+```
+
+### Preparing NuScenes dataset for training
+
+**Step 1.** Download the NuScenes dataset from the [official website](https://www.nuscenes.org/download) and extract the dataset to a folder of your choice.
+
+**Note:** The NuScenes dataset is large and requires significant disk space. Ensure you have enough storage available before proceeding.
+
+**Step 2.** Create a symbolic link to the dataset folder
+
+```bash
+ln -s /path/to/nuscenes/dataset/ /path/to/mmdetection3d/data/nuscenes/
+```
+
+**Step 3.** Prepare the NuScenes data by running:
+
+```bash
+cd mmdetection3d
+python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes
+```
+
+### Training CenterPoint with NuScenes Dataset
+
+#### Prepare the config file
+
+The configuration file that illustrates how to train the CenterPoint model with the NuScenes dataset is
+located at `mmdetection3d/projects/AutowareCenterPoint/configs`. This configuration file is a derived version of
+[this centerpoint configuration file](https://github.com/autowarefoundation/mmdetection3d/blob/5c0613be29bd2e51771ec5e046d89ba3089887c7/configs/centerpoint/centerpoint_pillar02_second_secfpn_head-circlenms_8xb4-cyclic-20e_nus-3d.py)
+from mmdetection3D.
+In this custom configuration, the **use_voxel_center_z parameter** is set as **False** to deactivate the z coordinate of the voxel center,
+aligning with the original paper's specifications and making the model compatible with Autoware. Additionally, the filter size is set as **[32, 32]**.
+
+The CenterPoint model can be tailored to your specific requirements by modifying various parameters within the configuration file.
+This includes adjustments related to preprocessing operations, training, testing, model architecture, dataset, optimizer, learning rate scheduler, and more.
+
+#### Start training
+
+```bash
+python tools/train.py projects/AutowareCenterPoint/configs/centerpoint_custom.py --work-dir ./work_dirs/centerpoint_custom
+```
+
+#### Evaluation of the trained model
+
+For evaluation purposes, we have included a sample dataset captured from the vehicle which consists of the following LiDAR sensors:
+1 x Velodyne VLS128, 4 x Velodyne VLP16, and 1 x Robosense RS Bpearl. This dataset comprises 600 LiDAR frames and encompasses 5 distinct classes, 6905 cars, 3951 pedestrians,
+75 cyclists, 162 buses, and 326 trucks 3D annotation. In the sample dataset, frames are annotated as 2 frames for each second. You can employ this dataset for a wide range of purposes,
+including training, evaluation, and fine-tuning of models. It is organized in the T4 format.
+
+##### Download the sample dataset
+
+```bash
+wget https://autoware-files.s3.us-west-2.amazonaws.com/dataset/lidar_detection_sample_dataset.tar.gz
+#Extract the dataset to a folder of your choice
+tar -xvf lidar_detection_sample_dataset.tar.gz
+#Create a symbolic link to the dataset folder
+ln -s /PATH/TO/DATASET/ /PATH/TO/mmdetection3d/data/tier4_dataset/
+```
+
+##### Prepare dataset and evaluate trained model
+
+Create `.pkl` files for training, evaluation, and testing.
+
+The dataset was formatted according to T4Dataset specifications, with 'sample_dataset' designated as one of its versions.
+
+```bash
+python tools/create_data.py T4Dataset --root-path data/sample_dataset/ --out-dir data/sample_dataset/ --extra-tag T4Dataset --version sample_dataset --annotation-hz 2
+```
+
+Run evaluation
+
+```bash
+python tools/test.py projects/AutowareCenterPoint/configs/centerpoint_custom_test.py /PATH/OF/THE/CHECKPOINT  --task lidar_det
+```
+
+Evaluation results could be relatively low because of the e to variations in sensor modalities between the sample dataset
+and the training dataset. The model's training parameters are originally tailored to the NuScenes dataset, which employs a single lidar
+sensor positioned atop the vehicle. In contrast, the provided sample dataset comprises concatenated point clouds positioned at
+the base link location of the vehicle.
+
+### Deploying CenterPoint model to Autoware
+
+#### Convert CenterPoint PyTorch model to ONNX Format
+
+The lidar_centerpoint implementation requires two ONNX models as input the voxel encoder and the backbone-neck-head of the CenterPoint model, other aspects of the network,
+such as preprocessing operations, are implemented externally. Under the fork of the mmdetection3d repository,
+we have included a script that converts the CenterPoint model to Autoware compatible ONNX format.
+You can find it in `mmdetection3d/projects/AutowareCenterPoint` file.
+
+```bash
+python projects/AutowareCenterPoint/centerpoint_onnx_converter.py --cfg projects/AutowareCenterPoint/configs/centerpoint_custom.py --ckpt work_dirs/centerpoint_custom/YOUR_BEST_MODEL.pth --work-dir ./work_dirs/onnx_models
+```
+
+#### Create the config file for the custom model
+
+Create a new config file named **centerpoint_custom.param.yaml** under the config file directory of the lidar_centerpoint node. Sets the parameters of the config file like
+point_cloud_range, point_feature_size, voxel_size, etc. according to the training config file.
+
+```yaml
+/**:
+  ros__parameters:
+    class_names: ["CAR", "TRUCK", "BUS", "BICYCLE", "PEDESTRIAN"]
+    point_feature_size: 4
+    max_voxel_size: 40000
+    point_cloud_range: [-51.2, -51.2, -3.0, 51.2, 51.2, 5.0]
+    voxel_size: [0.2, 0.2, 8.0]
+    downsample_factor: 1
+    encoder_in_feature_size: 9
+    # post-process params
+    circle_nms_dist_threshold: 0.5
+    iou_nms_target_class_names: ["CAR"]
+    iou_nms_search_distance_2d: 10.0
+    iou_nms_threshold: 0.1
+    yaw_norm_thresholds: [0.3, 0.3, 0.3, 0.3, 0.0]
+```
+
+#### Launch the lidar_centerpoint node
+
+```bash
+cd /YOUR/AUTOWARE/PATH/Autoware
+source install/setup.bash
+ros2 launch lidar_centerpoint lidar_centerpoint.launch.xml  model_name:=centerpoint_custom  model_path:=/PATH/TO/ONNX/FILE/
+```
+
 ### Changelog
 
 #### v1 (2022/07/06)
@@ -144,3 +339,14 @@ Example:
 [v1-head-centerpoint]: https://awf.ml.dev.web.auto/perception/models/centerpoint/v1/pts_backbone_neck_head_centerpoint.onnx
 [v1-encoder-centerpoint-tiny]: https://awf.ml.dev.web.auto/perception/models/centerpoint/v1/pts_voxel_encoder_centerpoint_tiny.onnx
 [v1-head-centerpoint-tiny]: https://awf.ml.dev.web.auto/perception/models/centerpoint/v1/pts_backbone_neck_head_centerpoint_tiny.onnx
+
+## Acknowledgment: deepen.ai's 3D Annotation Tools Contribution
+
+Special thanks to [Deepen AI](https://www.deepen.ai/) for providing their 3D Annotation tools, which have been instrumental in creating our sample dataset.
+
+## Legal Notice
+
+_The nuScenes dataset is released publicly for non-commercial use under the Creative
+Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License.
+Additional Terms of Use can be found at <https://www.nuscenes.org/terms-of-use>.
+To inquire about a commercial license please contact <nuscenes@motional.com>._
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/centerpoint_trt.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/centerpoint_trt.hpp
index 8cf250be0c049..55157f70fcfc3 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/centerpoint_trt.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/centerpoint_trt.hpp
@@ -15,15 +15,14 @@
 #ifndef LIDAR_CENTERPOINT__CENTERPOINT_TRT_HPP_
 #define LIDAR_CENTERPOINT__CENTERPOINT_TRT_HPP_
 
-#include <lidar_centerpoint/cuda_utils.hpp>
-#include <lidar_centerpoint/network/network_trt.hpp>
-#include <lidar_centerpoint/postprocess/postprocess_kernel.hpp>
-#include <lidar_centerpoint/preprocess/voxel_generator.hpp>
-
-#include <sensor_msgs/msg/point_cloud2.hpp>
-
-#include <pcl/point_cloud.h>
-#include <pcl/point_types.h>
+#include "lidar_centerpoint/cuda_utils.hpp"
+#include "lidar_centerpoint/network/network_trt.hpp"
+#include "lidar_centerpoint/postprocess/postprocess_kernel.hpp"
+#include "lidar_centerpoint/preprocess/voxel_generator.hpp"
+#include "pcl/point_cloud.h"
+#include "pcl/point_types.h"
+
+#include "sensor_msgs/msg/point_cloud2.hpp"
 
 #include <memory>
 #include <string>
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/cuda_utils.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/cuda_utils.hpp
index 5ab26d75a0a41..efe3bbb9a5482 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/cuda_utils.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/cuda_utils.hpp
@@ -42,7 +42,7 @@
 #ifndef LIDAR_CENTERPOINT__CUDA_UTILS_HPP_
 #define LIDAR_CENTERPOINT__CUDA_UTILS_HPP_
 
-#include <cuda_runtime_api.h>
+#include "cuda_runtime_api.h"
 
 #include <memory>
 #include <sstream>
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/detection_class_remapper.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/detection_class_remapper.hpp
index cd1a0e58e115e..d961dd998af76 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/detection_class_remapper.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/detection_class_remapper.hpp
@@ -17,10 +17,10 @@
 
 #include <Eigen/Core>
 
-#include <autoware_perception_msgs/msg/detected_object_kinematics.hpp>
-#include <autoware_perception_msgs/msg/detected_objects.hpp>
-#include <autoware_perception_msgs/msg/object_classification.hpp>
-#include <autoware_perception_msgs/msg/shape.hpp>
+#include "autoware_perception_msgs/msg/detected_object_kinematics.hpp"
+#include "autoware_perception_msgs/msg/detected_objects.hpp"
+#include "autoware_perception_msgs/msg/object_classification.hpp"
+#include "autoware_perception_msgs/msg/shape.hpp"
 
 #include <vector>
 
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/network/network_trt.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/network/network_trt.hpp
index 639aa0ba8bad3..1bf77248efe08 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/network/network_trt.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/network/network_trt.hpp
@@ -15,8 +15,8 @@
 #ifndef LIDAR_CENTERPOINT__NETWORK__NETWORK_TRT_HPP_
 #define LIDAR_CENTERPOINT__NETWORK__NETWORK_TRT_HPP_
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <lidar_centerpoint/network/tensorrt_wrapper.hpp>
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "lidar_centerpoint/network/tensorrt_wrapper.hpp"
 
 #include <vector>
 
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/network/scatter_kernel.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/network/scatter_kernel.hpp
index 3dd00c25fd9e7..ad5e222ce01e8 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/network/scatter_kernel.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/network/scatter_kernel.hpp
@@ -15,8 +15,8 @@
 #ifndef LIDAR_CENTERPOINT__NETWORK__SCATTER_KERNEL_HPP_
 #define LIDAR_CENTERPOINT__NETWORK__SCATTER_KERNEL_HPP_
 
-#include <cuda.h>
-#include <cuda_runtime_api.h>
+#include "cuda.h"
+#include "cuda_runtime_api.h"
 
 namespace centerpoint
 {
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/network/tensorrt_wrapper.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/network/tensorrt_wrapper.hpp
index 7f55ab6f5e414..4af5aac7ff7fe 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/network/tensorrt_wrapper.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/network/tensorrt_wrapper.hpp
@@ -15,10 +15,9 @@
 #ifndef LIDAR_CENTERPOINT__NETWORK__TENSORRT_WRAPPER_HPP_
 #define LIDAR_CENTERPOINT__NETWORK__TENSORRT_WRAPPER_HPP_
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <tensorrt_common/tensorrt_common.hpp>
-
-#include <NvInfer.h>
+#include "NvInfer.h"
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "tensorrt_common/tensorrt_common.hpp"
 
 #include <iostream>
 #include <memory>
@@ -32,7 +31,7 @@ class TensorRTWrapper
 public:
   explicit TensorRTWrapper(const CenterPointConfig & config);
 
-  ~TensorRTWrapper();
+  virtual ~TensorRTWrapper();
 
   bool init(
     const std::string & onnx_path, const std::string & engine_path, const std::string & precision);
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/node.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/node.hpp
index fa9c84c41b394..154ff97cdb887 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/node.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/node.hpp
@@ -15,14 +15,14 @@
 #ifndef LIDAR_CENTERPOINT__NODE_HPP_
 #define LIDAR_CENTERPOINT__NODE_HPP_
 
+#include "lidar_centerpoint/centerpoint_trt.hpp"
+#include "lidar_centerpoint/detection_class_remapper.hpp"
 #include "lidar_centerpoint/postprocess/non_maximum_suppression.hpp"
 
-#include <lidar_centerpoint/centerpoint_trt.hpp>
-#include <lidar_centerpoint/detection_class_remapper.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_object_kinematics.hpp>
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
@@ -62,11 +62,11 @@ class LidarCenterPointNode : public rclcpp::Node
   std::unique_ptr<CenterPointTRT> detector_ptr_{nullptr};
 
   // debugger
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 
 }  // namespace centerpoint
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/circle_nms_kernel.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/circle_nms_kernel.hpp
index cd2d71d33806d..5b55636a3eec4 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/circle_nms_kernel.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/circle_nms_kernel.hpp
@@ -15,9 +15,8 @@
 #ifndef LIDAR_CENTERPOINT__POSTPROCESS__CIRCLE_NMS_KERNEL_HPP_
 #define LIDAR_CENTERPOINT__POSTPROCESS__CIRCLE_NMS_KERNEL_HPP_
 
-#include <lidar_centerpoint/utils.hpp>
-
-#include <thrust/device_vector.h>
+#include "lidar_centerpoint/utils.hpp"
+#include "thrust/device_vector.h"
 
 namespace centerpoint
 {
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/postprocess_kernel.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/postprocess_kernel.hpp
index d790e896dea9a..e15d3022c947c 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/postprocess_kernel.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/postprocess/postprocess_kernel.hpp
@@ -15,12 +15,11 @@
 #ifndef LIDAR_CENTERPOINT__POSTPROCESS__POSTPROCESS_KERNEL_HPP_
 #define LIDAR_CENTERPOINT__POSTPROCESS__POSTPROCESS_KERNEL_HPP_
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <lidar_centerpoint/utils.hpp>
-
-#include <cuda.h>
-#include <cuda_runtime_api.h>
-#include <thrust/device_vector.h>
+#include "cuda.h"
+#include "cuda_runtime_api.h"
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "lidar_centerpoint/utils.hpp"
+#include "thrust/device_vector.h"
 
 #include <vector>
 
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/pointcloud_densification.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/pointcloud_densification.hpp
index 209fc74e6c58f..c1d6a6b060955 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/pointcloud_densification.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/pointcloud_densification.hpp
@@ -15,17 +15,19 @@
 #ifndef LIDAR_CENTERPOINT__PREPROCESS__POINTCLOUD_DENSIFICATION_HPP_
 #define LIDAR_CENTERPOINT__PREPROCESS__POINTCLOUD_DENSIFICATION_HPP_
 
-#include <tf2_ros/buffer.h>
-#include <tf2_ros/transform_listener.h>
-#ifdef ROS_DISTRO_GALACTIC
-#include <tf2_sensor_msgs/tf2_sensor_msgs.h>
-#else
-#include <tf2_sensor_msgs/tf2_sensor_msgs.hpp>
-#endif
+#include "tf2_ros/buffer.h"
+#include "tf2_ros/transform_listener.h"
 
 #include <list>
 #include <string>
 #include <utility>
+#ifdef ROS_DISTRO_GALACTIC
+#include "tf2_sensor_msgs/tf2_sensor_msgs.h"
+#else
+#include "tf2_sensor_msgs/tf2_sensor_msgs.hpp"
+#endif
+
+#include "lidar_centerpoint/cuda_utils.hpp"
 
 namespace centerpoint
 {
@@ -48,7 +50,10 @@ class DensificationParam
 
 struct PointCloudWithTransform
 {
-  sensor_msgs::msg::PointCloud2 pointcloud_msg;
+  cuda::unique_ptr<float[]> points_d{nullptr};
+  std_msgs::msg::Header header;
+  size_t num_points{0};
+  size_t point_step{0};
   Eigen::Affine3f affine_past2world;
 };
 
@@ -58,7 +63,8 @@ class PointCloudDensification
   explicit PointCloudDensification(const DensificationParam & param);
 
   bool enqueuePointCloud(
-    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer);
+    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer,
+    cudaStream_t stream);
 
   double getCurrentTimestamp() const { return current_timestamp_; }
   Eigen::Affine3f getAffineWorldToCurrent() const { return affine_world2current_; }
@@ -73,7 +79,8 @@ class PointCloudDensification
   unsigned int pointcloud_cache_size() const { return param_.pointcloud_cache_size(); }
 
 private:
-  void enqueue(const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine);
+  void enqueue(
+    const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine, cudaStream_t stream);
   void dequeue();
 
   DensificationParam param_;
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/preprocess_kernel.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/preprocess_kernel.hpp
index 9488b67475509..3abcd89cb5c55 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/preprocess_kernel.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/preprocess_kernel.hpp
@@ -15,11 +15,15 @@
 #ifndef LIDAR_CENTERPOINT__PREPROCESS__PREPROCESS_KERNEL_HPP_
 #define LIDAR_CENTERPOINT__PREPROCESS__PREPROCESS_KERNEL_HPP_
 
-#include <cuda.h>
-#include <cuda_runtime_api.h>
+#include "cuda.h"
+#include "cuda_runtime_api.h"
 
 namespace centerpoint
 {
+cudaError_t generateSweepPoints_launch(
+  const float * input_points, size_t points_size, int input_point_step, float time_lag,
+  const float * transform, int num_features, float * output_points, cudaStream_t stream);
+
 cudaError_t generateVoxels_random_launch(
   const float * points, size_t points_size, float min_x_range, float max_x_range, float min_y_range,
   float max_y_range, float min_z_range, float max_z_range, float pillar_x_size, float pillar_y_size,
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/voxel_generator.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/voxel_generator.hpp
index be15d51e91715..3ade5e677cdbe 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/voxel_generator.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/preprocess/voxel_generator.hpp
@@ -15,10 +15,10 @@
 #ifndef LIDAR_CENTERPOINT__PREPROCESS__VOXEL_GENERATOR_HPP_
 #define LIDAR_CENTERPOINT__PREPROCESS__VOXEL_GENERATOR_HPP_
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <lidar_centerpoint/preprocess/pointcloud_densification.hpp>
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "lidar_centerpoint/preprocess/pointcloud_densification.hpp"
 
-#include <sensor_msgs/msg/point_cloud2.hpp>
+#include "sensor_msgs/msg/point_cloud2.hpp"
 
 #include <memory>
 #include <vector>
@@ -31,10 +31,11 @@ class VoxelGeneratorTemplate
   explicit VoxelGeneratorTemplate(
     const DensificationParam & param, const CenterPointConfig & config);
 
-  virtual std::size_t generateSweepPoints(std::vector<float> & points) = 0;
+  virtual std::size_t generateSweepPoints(float * d_points, cudaStream_t stream) = 0;
 
   bool enqueuePointCloud(
-    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer);
+    const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer,
+    cudaStream_t stream);
 
 protected:
   std::unique_ptr<PointCloudDensification> pd_ptr_{nullptr};
@@ -50,7 +51,7 @@ class VoxelGenerator : public VoxelGeneratorTemplate
 public:
   using VoxelGeneratorTemplate::VoxelGeneratorTemplate;
 
-  std::size_t generateSweepPoints(std::vector<float> & points) override;
+  std::size_t generateSweepPoints(float * d_points, cudaStream_t stream) override;
 };
 
 }  // namespace centerpoint
diff --git a/perception/lidar_centerpoint/include/lidar_centerpoint/ros_utils.hpp b/perception/lidar_centerpoint/include/lidar_centerpoint/ros_utils.hpp
index e33d86cd0aba7..484fbcfd36657 100644
--- a/perception/lidar_centerpoint/include/lidar_centerpoint/ros_utils.hpp
+++ b/perception/lidar_centerpoint/include/lidar_centerpoint/ros_utils.hpp
@@ -17,12 +17,9 @@
 
 // ros packages cannot be included from cuda.
 
-#include <lidar_centerpoint/utils.hpp>
+#include "lidar_centerpoint/utils.hpp"
 
-#include <autoware_perception_msgs/msg/detected_object_kinematics.hpp>
-#include <autoware_perception_msgs/msg/detected_objects.hpp>
-#include <autoware_perception_msgs/msg/object_classification.hpp>
-#include <autoware_perception_msgs/msg/shape.hpp>
+#include "autoware_perception_msgs/msg/detected_objects.hpp"
 
 #include <string>
 #include <vector>
diff --git a/perception/lidar_centerpoint/lib/centerpoint_trt.cpp b/perception/lidar_centerpoint/lib/centerpoint_trt.cpp
index 2804e172b73fa..6f379167b0e71 100644
--- a/perception/lidar_centerpoint/lib/centerpoint_trt.cpp
+++ b/perception/lidar_centerpoint/lib/centerpoint_trt.cpp
@@ -14,10 +14,11 @@
 
 #include "lidar_centerpoint/centerpoint_trt.hpp"
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <lidar_centerpoint/network/scatter_kernel.hpp>
-#include <lidar_centerpoint/preprocess/preprocess_kernel.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "lidar_centerpoint/network/scatter_kernel.hpp"
+#include "lidar_centerpoint/preprocess/preprocess_kernel.hpp"
+
+#include <autoware/universe_utils/math/constants.hpp>
 
 #include <iostream>
 #include <memory>
@@ -130,14 +131,11 @@ bool CenterPointTRT::detect(
 bool CenterPointTRT::preprocess(
   const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer)
 {
-  bool is_success = vg_ptr_->enqueuePointCloud(input_pointcloud_msg, tf_buffer);
+  bool is_success = vg_ptr_->enqueuePointCloud(input_pointcloud_msg, tf_buffer, stream_);
   if (!is_success) {
     return false;
   }
-  const auto count = vg_ptr_->generateSweepPoints(points_);
-  CHECK_CUDA_ERROR(cudaMemcpyAsync(
-    points_d_.get(), points_.data(), count * config_.point_feature_size_ * sizeof(float),
-    cudaMemcpyHostToDevice, stream_));
+  const auto count = vg_ptr_->generateSweepPoints(points_d_.get(), stream_);
   CHECK_CUDA_ERROR(cudaMemsetAsync(num_voxels_d_.get(), 0, sizeof(unsigned int), stream_));
   CHECK_CUDA_ERROR(
     cudaMemsetAsync(voxels_buffer_d_.get(), 0, voxels_buffer_size_ * sizeof(float), stream_));
diff --git a/perception/lidar_centerpoint/lib/detection_class_remapper.cpp b/perception/lidar_centerpoint/lib/detection_class_remapper.cpp
index ecfbb4360ecf0..9805fc7a661d1 100644
--- a/perception/lidar_centerpoint/lib/detection_class_remapper.cpp
+++ b/perception/lidar_centerpoint/lib/detection_class_remapper.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <lidar_centerpoint/detection_class_remapper.hpp>
+#include "lidar_centerpoint/detection_class_remapper.hpp"
 
 namespace centerpoint
 {
diff --git a/perception/lidar_centerpoint/lib/network/scatter_kernel.cu b/perception/lidar_centerpoint/lib/network/scatter_kernel.cu
index 09cc83bf606fe..f139e230426ca 100644
--- a/perception/lidar_centerpoint/lib/network/scatter_kernel.cu
+++ b/perception/lidar_centerpoint/lib/network/scatter_kernel.cu
@@ -13,8 +13,7 @@
 // limitations under the License.
 
 #include "lidar_centerpoint/network/scatter_kernel.hpp"
-
-#include <lidar_centerpoint/utils.hpp>
+#include "lidar_centerpoint/utils.hpp"
 
 namespace
 {
diff --git a/perception/lidar_centerpoint/lib/network/tensorrt_wrapper.cpp b/perception/lidar_centerpoint/lib/network/tensorrt_wrapper.cpp
index 91fcce9a80f78..bdfde42a12a02 100644
--- a/perception/lidar_centerpoint/lib/network/tensorrt_wrapper.cpp
+++ b/perception/lidar_centerpoint/lib/network/tensorrt_wrapper.cpp
@@ -14,7 +14,7 @@
 
 #include "lidar_centerpoint/network/tensorrt_wrapper.hpp"
 
-#include <NvOnnxParser.h>
+#include "NvOnnxParser.h"
 
 #include <fstream>
 #include <memory>
diff --git a/perception/lidar_centerpoint/lib/postprocess/circle_nms_kernel.cu b/perception/lidar_centerpoint/lib/postprocess/circle_nms_kernel.cu
index 398e75a55c44b..c208eefe135fb 100644
--- a/perception/lidar_centerpoint/lib/postprocess/circle_nms_kernel.cu
+++ b/perception/lidar_centerpoint/lib/postprocess/circle_nms_kernel.cu
@@ -21,12 +21,10 @@ Written by Shaoshuai Shi
 All Rights Reserved 2019-2020.
 */
 
+#include "lidar_centerpoint/cuda_utils.hpp"
 #include "lidar_centerpoint/postprocess/circle_nms_kernel.hpp"
-
-#include <lidar_centerpoint/cuda_utils.hpp>
-#include <lidar_centerpoint/utils.hpp>
-
-#include <thrust/host_vector.h>
+#include "lidar_centerpoint/utils.hpp"
+#include "thrust/host_vector.h"
 
 namespace
 {
diff --git a/perception/lidar_centerpoint/lib/postprocess/non_maximum_suppression.cpp b/perception/lidar_centerpoint/lib/postprocess/non_maximum_suppression.cpp
index d4d7b1379776a..16f4fc89bbcd6 100644
--- a/perception/lidar_centerpoint/lib/postprocess/non_maximum_suppression.cpp
+++ b/perception/lidar_centerpoint/lib/postprocess/non_maximum_suppression.cpp
@@ -14,9 +14,10 @@
 
 #include "lidar_centerpoint/postprocess/non_maximum_suppression.hpp"
 
-#include "object_recognition_utils/geometry.hpp"
-#include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <object_recognition_utils/geometry.hpp>
+#include <object_recognition_utils/object_recognition_utils.hpp>
+
 namespace centerpoint
 {
 
@@ -48,7 +49,7 @@ bool NonMaximumSuppression::isTargetPairObject(
   }
 
   const auto search_sqr_dist_2d = params_.search_distance_2d_ * params_.search_distance_2d_;
-  const auto sqr_dist_2d = tier4_autoware_utils::calcSquaredDistance2d(
+  const auto sqr_dist_2d = autoware::universe_utils::calcSquaredDistance2d(
     object_recognition_utils::getPose(object1), object_recognition_utils::getPose(object2));
   return sqr_dist_2d <= search_sqr_dist_2d;
 }
diff --git a/perception/lidar_centerpoint/lib/postprocess/postprocess_kernel.cu b/perception/lidar_centerpoint/lib/postprocess/postprocess_kernel.cu
index 34bbd2811041c..12835bab038a6 100644
--- a/perception/lidar_centerpoint/lib/postprocess/postprocess_kernel.cu
+++ b/perception/lidar_centerpoint/lib/postprocess/postprocess_kernel.cu
@@ -13,12 +13,10 @@
 // limitations under the License.
 
 #include "lidar_centerpoint/postprocess/circle_nms_kernel.hpp"
-
-#include <lidar_centerpoint/postprocess/postprocess_kernel.hpp>
-
-#include <thrust/count.h>
-#include <thrust/device_vector.h>
-#include <thrust/sort.h>
+#include "lidar_centerpoint/postprocess/postprocess_kernel.hpp"
+#include "thrust/count.h"
+#include "thrust/device_vector.h"
+#include "thrust/sort.h"
 
 namespace
 {
diff --git a/perception/lidar_centerpoint/lib/preprocess/pointcloud_densification.cpp b/perception/lidar_centerpoint/lib/preprocess/pointcloud_densification.cpp
index 66c348fda50b4..2859d58d8f669 100644
--- a/perception/lidar_centerpoint/lib/preprocess/pointcloud_densification.cpp
+++ b/perception/lidar_centerpoint/lib/preprocess/pointcloud_densification.cpp
@@ -14,20 +14,19 @@
 
 #include "lidar_centerpoint/preprocess/pointcloud_densification.hpp"
 
-#include <pcl_ros/transforms.hpp>
+#include "pcl_conversions/pcl_conversions.h"
+#include "pcl_ros/transforms.hpp"
 
-#include <boost/optional.hpp>
+#include "boost/optional.hpp"
 
-#include <pcl_conversions/pcl_conversions.h>
+#include <string>
+#include <utility>
 #ifdef ROS_DISTRO_GALACTIC
-#include <tf2_eigen/tf2_eigen.h>
+#include "tf2_eigen/tf2_eigen.h"
 #else
-#include <tf2_eigen/tf2_eigen.hpp>
+#include "tf2_eigen/tf2_eigen.hpp"
 #endif
 
-#include <string>
-#include <utility>
-
 namespace
 {
 boost::optional<geometry_msgs::msg::Transform> getTransform(
@@ -61,7 +60,8 @@ PointCloudDensification::PointCloudDensification(const DensificationParam & para
 }
 
 bool PointCloudDensification::enqueuePointCloud(
-  const sensor_msgs::msg::PointCloud2 & pointcloud_msg, const tf2_ros::Buffer & tf_buffer)
+  const sensor_msgs::msg::PointCloud2 & pointcloud_msg, const tf2_ros::Buffer & tf_buffer,
+  cudaStream_t stream)
 {
   const auto header = pointcloud_msg.header;
 
@@ -73,9 +73,9 @@ bool PointCloudDensification::enqueuePointCloud(
     }
     auto affine_world2current = transformToEigen(transform_world2current.get());
 
-    enqueue(pointcloud_msg, affine_world2current);
+    enqueue(pointcloud_msg, affine_world2current, stream);
   } else {
-    enqueue(pointcloud_msg, Eigen::Affine3f::Identity());
+    enqueue(pointcloud_msg, Eigen::Affine3f::Identity(), stream);
   }
 
   dequeue();
@@ -84,12 +84,24 @@ bool PointCloudDensification::enqueuePointCloud(
 }
 
 void PointCloudDensification::enqueue(
-  const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine_world2current)
+  const sensor_msgs::msg::PointCloud2 & msg, const Eigen::Affine3f & affine_world2current,
+  cudaStream_t stream)
 {
   affine_world2current_ = affine_world2current;
   current_timestamp_ = rclcpp::Time(msg.header.stamp).seconds();
-  PointCloudWithTransform pointcloud = {msg, affine_world2current.inverse()};
-  pointcloud_cache_.push_front(pointcloud);
+
+  assert(sizeof(uint8_t) * msg.width * msg.height * msg.point_step % sizeof(float) == 0);
+  auto points_d = cuda::make_unique<float[]>(
+    sizeof(uint8_t) * msg.width * msg.height * msg.point_step / sizeof(float));
+  CHECK_CUDA_ERROR(cudaMemcpyAsync(
+    points_d.get(), msg.data.data(), sizeof(uint8_t) * msg.width * msg.height * msg.point_step,
+    cudaMemcpyHostToDevice, stream));
+
+  PointCloudWithTransform pointcloud = {
+    std::move(points_d), msg.header, msg.width * msg.height, msg.point_step,
+    affine_world2current.inverse()};
+
+  pointcloud_cache_.push_front(std::move(pointcloud));
 }
 
 void PointCloudDensification::dequeue()
diff --git a/perception/lidar_centerpoint/lib/preprocess/preprocess_kernel.cu b/perception/lidar_centerpoint/lib/preprocess/preprocess_kernel.cu
index 218aaee125c02..4e78176739c26 100644
--- a/perception/lidar_centerpoint/lib/preprocess/preprocess_kernel.cu
+++ b/perception/lidar_centerpoint/lib/preprocess/preprocess_kernel.cu
@@ -28,9 +28,11 @@
  * limitations under the License.
  */
 
+#include "lidar_centerpoint/cuda_utils.hpp"
 #include "lidar_centerpoint/preprocess/preprocess_kernel.hpp"
+#include "lidar_centerpoint/utils.hpp"
 
-#include <lidar_centerpoint/utils.hpp>
+#include <cassert>
 
 namespace
 {
@@ -41,6 +43,51 @@ const std::size_t ENCODER_IN_FEATURE_SIZE = 9;  // the same as encoder_in_featur
 
 namespace centerpoint
 {
+
+__global__ void generateSweepPoints_kernel(
+  const float * input_points, size_t points_size, int input_point_step, float time_lag,
+  const float * transform_array, int num_features, float * output_points)
+{
+  int point_idx = blockIdx.x * blockDim.x + threadIdx.x;
+  if (point_idx >= points_size) return;
+
+  const float input_x = input_points[point_idx * input_point_step + 0];
+  const float input_y = input_points[point_idx * input_point_step + 1];
+  const float input_z = input_points[point_idx * input_point_step + 2];
+
+  // transform_array is expected to be column-major
+  output_points[point_idx * num_features + 0] = transform_array[0] * input_x +
+                                                transform_array[4] * input_y +
+                                                transform_array[8] * input_z + transform_array[12];
+  output_points[point_idx * num_features + 1] = transform_array[1] * input_x +
+                                                transform_array[5] * input_y +
+                                                transform_array[9] * input_z + transform_array[13];
+  output_points[point_idx * num_features + 2] = transform_array[2] * input_x +
+                                                transform_array[6] * input_y +
+                                                transform_array[10] * input_z + transform_array[14];
+  output_points[point_idx * num_features + 3] = time_lag;
+}
+
+cudaError_t generateSweepPoints_launch(
+  const float * input_points, size_t points_size, int input_point_step, float time_lag,
+  const float * transform_array, int num_features, float * output_points, cudaStream_t stream)
+{
+  auto transform_d = cuda::make_unique<float[]>(16);
+  CHECK_CUDA_ERROR(cudaMemcpyAsync(
+    transform_d.get(), transform_array, 16 * sizeof(float), cudaMemcpyHostToDevice, stream));
+
+  dim3 blocks((points_size + 256 - 1) / 256);
+  dim3 threads(256);
+  assert(num_features == 4);
+
+  generateSweepPoints_kernel<<<blocks, threads, 0, stream>>>(
+    input_points, points_size, input_point_step, time_lag, transform_d.get(), num_features,
+    output_points);
+
+  cudaError_t err = cudaGetLastError();
+  return err;
+}
+
 __global__ void generateVoxels_random_kernel(
   const float * points, size_t points_size, float min_x_range, float max_x_range, float min_y_range,
   float max_y_range, float min_z_range, float max_z_range, float pillar_x_size, float pillar_y_size,
diff --git a/perception/lidar_centerpoint/lib/preprocess/voxel_generator.cpp b/perception/lidar_centerpoint/lib/preprocess/voxel_generator.cpp
index 07a1a2de725f5..e90474fa07327 100644
--- a/perception/lidar_centerpoint/lib/preprocess/voxel_generator.cpp
+++ b/perception/lidar_centerpoint/lib/preprocess/voxel_generator.cpp
@@ -14,7 +14,12 @@
 
 #include "lidar_centerpoint/preprocess/voxel_generator.hpp"
 
-#include <sensor_msgs/point_cloud2_iterator.hpp>
+#include "lidar_centerpoint/centerpoint_trt.hpp"
+#include "lidar_centerpoint/preprocess/preprocess_kernel.hpp"
+
+#include "sensor_msgs/point_cloud2_iterator.hpp"
+
+#include <type_traits>
 
 namespace centerpoint
 {
@@ -38,35 +43,40 @@ VoxelGeneratorTemplate::VoxelGeneratorTemplate(
 }
 
 bool VoxelGeneratorTemplate::enqueuePointCloud(
-  const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer)
+  const sensor_msgs::msg::PointCloud2 & input_pointcloud_msg, const tf2_ros::Buffer & tf_buffer,
+  cudaStream_t stream)
 {
-  return pd_ptr_->enqueuePointCloud(input_pointcloud_msg, tf_buffer);
+  return pd_ptr_->enqueuePointCloud(input_pointcloud_msg, tf_buffer, stream);
 }
 
-std::size_t VoxelGenerator::generateSweepPoints(std::vector<float> & points)
+std::size_t VoxelGenerator::generateSweepPoints(float * points_d, cudaStream_t stream)
 {
-  Eigen::Vector3f point_current, point_past;
-  size_t point_counter{};
+  size_t point_counter = 0;
   for (auto pc_cache_iter = pd_ptr_->getPointCloudCacheIter(); !pd_ptr_->isCacheEnd(pc_cache_iter);
        pc_cache_iter++) {
-    auto pc_msg = pc_cache_iter->pointcloud_msg;
+    auto sweep_num_points = pc_cache_iter->num_points;
+    auto point_step = pc_cache_iter->point_step;
     auto affine_past2current =
       pd_ptr_->getAffineWorldToCurrent() * pc_cache_iter->affine_past2world;
     float time_lag = static_cast<float>(
-      pd_ptr_->getCurrentTimestamp() - rclcpp::Time(pc_msg.header.stamp).seconds());
-
-    for (sensor_msgs::PointCloud2ConstIterator<float> x_iter(pc_msg, "x"), y_iter(pc_msg, "y"),
-         z_iter(pc_msg, "z");
-         x_iter != x_iter.end(); ++x_iter, ++y_iter, ++z_iter) {
-      point_past << *x_iter, *y_iter, *z_iter;
-      point_current = affine_past2current * point_past;
+      pd_ptr_->getCurrentTimestamp() - rclcpp::Time(pc_cache_iter->header.stamp).seconds());
 
-      points.at(point_counter * config_.point_feature_size_) = point_current.x();
-      points.at(point_counter * config_.point_feature_size_ + 1) = point_current.y();
-      points.at(point_counter * config_.point_feature_size_ + 2) = point_current.z();
-      points.at(point_counter * config_.point_feature_size_ + 3) = time_lag;
-      ++point_counter;
+    if (point_counter + sweep_num_points > CAPACITY_POINT) {
+      RCLCPP_WARN_STREAM(
+        rclcpp::get_logger("lidar_centerpoint"),
+        "Requested number of points exceeds the maximum capacity. Current points = "
+          << point_counter);
+      break;
     }
+
+    static_assert(std::is_same<decltype(affine_past2current.matrix()), Eigen::Matrix4f &>::value);
+    static_assert(!Eigen::Matrix4f::IsRowMajor, "matrices should be col-major.");
+    generateSweepPoints_launch(
+      pc_cache_iter->points_d.get(), sweep_num_points, point_step / sizeof(float), time_lag,
+      affine_past2current.matrix().data(), config_.point_feature_size_,
+      points_d + config_.point_feature_size_ * point_counter, stream);
+
+    point_counter += sweep_num_points;
   }
   return point_counter;
 }
diff --git a/perception/lidar_centerpoint/lib/ros_utils.cpp b/perception/lidar_centerpoint/lib/ros_utils.cpp
index 9be77b67e26dc..039d340cc2dc4 100644
--- a/perception/lidar_centerpoint/lib/ros_utils.cpp
+++ b/perception/lidar_centerpoint/lib/ros_utils.cpp
@@ -14,9 +14,9 @@
 
 #include "lidar_centerpoint/ros_utils.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/constants.hpp"
 
 namespace centerpoint
 {
@@ -50,14 +50,14 @@ void box3DToDetectedObject(
 
   // pose and shape
   // mmdet3d yaw format to ros yaw format
-  float yaw = -box3d.yaw - tier4_autoware_utils::pi / 2;
+  float yaw = -box3d.yaw - autoware::universe_utils::pi / 2;
   obj.kinematics.pose_with_covariance.pose.position =
-    tier4_autoware_utils::createPoint(box3d.x, box3d.y, box3d.z);
+    autoware::universe_utils::createPoint(box3d.x, box3d.y, box3d.z);
   obj.kinematics.pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(yaw);
+    autoware::universe_utils::createQuaternionFromYaw(yaw);
   obj.shape.type = autoware_perception_msgs::msg::Shape::BOUNDING_BOX;
   obj.shape.dimensions =
-    tier4_autoware_utils::createTranslation(box3d.length, box3d.width, box3d.height);
+    autoware::universe_utils::createTranslation(box3d.length, box3d.width, box3d.height);
   if (has_variance) {
     obj.kinematics.has_position_covariance = has_variance;
     obj.kinematics.pose_with_covariance.covariance = convertPoseCovarianceMatrix(box3d);
@@ -102,7 +102,7 @@ uint8_t getSemanticType(const std::string & class_name)
 
 std::array<double, 36> convertPoseCovarianceMatrix(const Box3D & box3d)
 {
-  using POSE_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using POSE_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   std::array<double, 36> pose_covariance{};
   pose_covariance[POSE_IDX::X_X] = box3d.x_variance;
   pose_covariance[POSE_IDX::Y_Y] = box3d.y_variance;
@@ -113,7 +113,7 @@ std::array<double, 36> convertPoseCovarianceMatrix(const Box3D & box3d)
 
 std::array<double, 36> convertTwistCovarianceMatrix(const Box3D & box3d)
 {
-  using POSE_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using POSE_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   std::array<double, 36> twist_covariance{};
   twist_covariance[POSE_IDX::X_X] = box3d.vel_x_variance;
   twist_covariance[POSE_IDX::Y_Y] = box3d.vel_y_variance;
diff --git a/perception/lidar_centerpoint/package.xml b/perception/lidar_centerpoint/package.xml
index 3077aa2ac2e24..280e2219fb1f1 100644
--- a/perception/lidar_centerpoint/package.xml
+++ b/perception/lidar_centerpoint/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>object_recognition_utils</depend>
   <depend>pcl_ros</depend>
   <depend>python3-open3d</depend>
@@ -22,7 +23,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/perception/lidar_centerpoint/src/node.cpp b/perception/lidar_centerpoint/src/node.cpp
index b9415ba898d14..8bf62e3e0168b 100644
--- a/perception/lidar_centerpoint/src/node.cpp
+++ b/perception/lidar_centerpoint/src/node.cpp
@@ -14,17 +14,7 @@
 
 #include "lidar_centerpoint/node.hpp"
 
-#include <lidar_centerpoint/centerpoint_config.hpp>
-#include <lidar_centerpoint/preprocess/pointcloud_densification.hpp>
-#include <lidar_centerpoint/ros_utils.hpp>
-#include <lidar_centerpoint/utils.hpp>
-#include <pcl_ros/transforms.hpp>
-
-#ifdef ROS_DISTRO_GALACTIC
-#include <tf2_geometry_msgs/tf2_geometry_msgs.h>
-#else
-#include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
-#endif
+#include "pcl_ros/transforms.hpp"
 
 #include <Eigen/Dense>
 #include <Eigen/Geometry>
@@ -33,6 +23,17 @@
 #include <string>
 #include <vector>
 
+#ifdef ROS_DISTRO_GALACTIC
+#include "tf2_geometry_msgs/tf2_geometry_msgs.h"
+#else
+#include "tf2_geometry_msgs/tf2_geometry_msgs.hpp"
+#endif
+
+#include "lidar_centerpoint/centerpoint_config.hpp"
+#include "lidar_centerpoint/preprocess/pointcloud_densification.hpp"
+#include "lidar_centerpoint/ros_utils.hpp"
+#include "lidar_centerpoint/utils.hpp"
+
 namespace centerpoint
 {
 LidarCenterPointNode::LidarCenterPointNode(const rclcpp::NodeOptions & node_options)
@@ -117,8 +118,8 @@ LidarCenterPointNode::LidarCenterPointNode(const rclcpp::NodeOptions & node_opti
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ = std::make_unique<DebugPublisher>(this, "lidar_centerpoint");
     stop_watch_ptr_->tic("cyclic_time");
@@ -129,7 +130,8 @@ LidarCenterPointNode::LidarCenterPointNode(const rclcpp::NodeOptions & node_opti
     RCLCPP_INFO(this->get_logger(), "TensorRT engine is built and shutdown node.");
     rclcpp::shutdown();
   }
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void LidarCenterPointNode::pointCloudCallback(
diff --git a/perception/lidar_centerpoint/test/test_postprocess_kernel.hpp b/perception/lidar_centerpoint/test/test_postprocess_kernel.hpp
index d0c9123da9e77..8f35b98119afe 100644
--- a/perception/lidar_centerpoint/test/test_postprocess_kernel.hpp
+++ b/perception/lidar_centerpoint/test/test_postprocess_kernel.hpp
@@ -31,17 +31,17 @@ class PostprocessKernelTest : public testing::Test
   void SetUp() override;
   void TearDown() override;
 
-  cudaStream_t stream_{nullptr};
+  cudaStream_t stream_{};
 
-  std::unique_ptr<PostProcessCUDA> postprocess_cuda_ptr_;
-  std::unique_ptr<centerpoint::CenterPointConfig> config_ptr_;
+  std::unique_ptr<PostProcessCUDA> postprocess_cuda_ptr_{};
+  std::unique_ptr<centerpoint::CenterPointConfig> config_ptr_{};
 
-  cuda::unique_ptr<float[]> head_out_heatmap_d_;
-  cuda::unique_ptr<float[]> head_out_offset_d_;
-  cuda::unique_ptr<float[]> head_out_z_d_;
-  cuda::unique_ptr<float[]> head_out_dim_d_;
-  cuda::unique_ptr<float[]> head_out_rot_d_;
-  cuda::unique_ptr<float[]> head_out_vel_d_;
+  cuda::unique_ptr<float[]> head_out_heatmap_d_{};
+  cuda::unique_ptr<float[]> head_out_offset_d_{};
+  cuda::unique_ptr<float[]> head_out_z_d_{};
+  cuda::unique_ptr<float[]> head_out_dim_d_{};
+  cuda::unique_ptr<float[]> head_out_rot_d_{};
+  cuda::unique_ptr<float[]> head_out_vel_d_{};
 };
 
 }  // namespace centerpoint
diff --git a/perception/lidar_centerpoint/test/test_preprocess_kernel.hpp b/perception/lidar_centerpoint/test/test_preprocess_kernel.hpp
index 57ff51966a417..1a3e850026886 100644
--- a/perception/lidar_centerpoint/test/test_preprocess_kernel.hpp
+++ b/perception/lidar_centerpoint/test/test_preprocess_kernel.hpp
@@ -28,7 +28,7 @@ class PreprocessKernelTest : public testing::Test
   void SetUp() override;
   void TearDown() override;
 
-  cudaStream_t stream_{nullptr};
+  cudaStream_t stream_{};
 
   std::size_t max_voxel_size_{};
   std::size_t max_point_in_voxel_size_{};
diff --git a/perception/lidar_centerpoint/test/test_voxel_generator.cpp b/perception/lidar_centerpoint/test/test_voxel_generator.cpp
index 5b0b3cd112e6c..6bded105536dc 100644
--- a/perception/lidar_centerpoint/test/test_voxel_generator.cpp
+++ b/perception/lidar_centerpoint/test/test_voxel_generator.cpp
@@ -14,9 +14,9 @@
 
 #include "test_voxel_generator.hpp"
 
-#include <sensor_msgs/point_cloud2_iterator.hpp>
+#include "gtest/gtest.h"
 
-#include <gtest/gtest.h>
+#include "sensor_msgs/point_cloud2_iterator.hpp"
 
 void VoxelGeneratorTest::SetUp()
 {
@@ -95,6 +95,8 @@ void VoxelGeneratorTest::SetUp()
   transform2_ = transform1_;
   transform2_.header.stamp = cloud2_->header.stamp;
   transform2_.transform.translation.x = world_origin_x + delta_pointcloud_x_;
+
+  cudaStreamCreate(&stream_);
 }
 
 void VoxelGeneratorTest::TearDown()
@@ -117,8 +119,17 @@ TEST_F(VoxelGeneratorTest, SingleFrame)
   points.resize(capacity_ * config.point_feature_size_);
   std::fill(points.begin(), points.end(), std::nan(""));
 
-  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_);
-  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points);
+  auto points_d = cuda::make_unique<float[]>(capacity_ * config.point_feature_size_);
+  cudaMemcpy(
+    points_d.get(), points.data(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyHostToDevice);
+
+  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_, stream_);
+  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points_d.get(), stream_);
+
+  cudaMemcpy(
+    points.data(), points_d.get(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyDeviceToHost);
 
   EXPECT_TRUE(status1);
   EXPECT_EQ(points_per_pointcloud_, generated_points_num);
@@ -155,9 +166,18 @@ TEST_F(VoxelGeneratorTest, TwoFramesNoTf)
   points.resize(capacity_ * config.point_feature_size_);
   std::fill(points.begin(), points.end(), std::nan(""));
 
-  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_);
-  bool status2 = voxel_generator.enqueuePointCloud(*cloud2_, *tf2_buffer_);
-  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points);
+  auto points_d = cuda::make_unique<float[]>(capacity_ * config.point_feature_size_);
+  cudaMemcpy(
+    points_d.get(), points.data(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyHostToDevice);
+
+  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_, stream_);
+  bool status2 = voxel_generator.enqueuePointCloud(*cloud2_, *tf2_buffer_, stream_);
+  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points_d.get(), stream_);
+
+  cudaMemcpy(
+    points.data(), points_d.get(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyDeviceToHost);
 
   EXPECT_FALSE(status1);
   EXPECT_FALSE(status2);
@@ -180,12 +200,21 @@ TEST_F(VoxelGeneratorTest, TwoFrames)
   points.resize(capacity_ * config.point_feature_size_);
   std::fill(points.begin(), points.end(), std::nan(""));
 
+  auto points_d = cuda::make_unique<float[]>(capacity_ * config.point_feature_size_);
+  cudaMemcpy(
+    points_d.get(), points.data(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyHostToDevice);
+
   tf2_buffer_->setTransform(transform1_, "authority1");
   tf2_buffer_->setTransform(transform2_, "authority1");
 
-  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_);
-  bool status2 = voxel_generator.enqueuePointCloud(*cloud2_, *tf2_buffer_);
-  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points);
+  bool status1 = voxel_generator.enqueuePointCloud(*cloud1_, *tf2_buffer_, stream_);
+  bool status2 = voxel_generator.enqueuePointCloud(*cloud2_, *tf2_buffer_, stream_);
+  std::size_t generated_points_num = voxel_generator.generateSweepPoints(points_d.get(), stream_);
+
+  cudaMemcpy(
+    points.data(), points_d.get(), capacity_ * config.point_feature_size_ * sizeof(float),
+    cudaMemcpyDeviceToHost);
 
   EXPECT_TRUE(status1);
   EXPECT_TRUE(status2);
diff --git a/perception/lidar_centerpoint/test/test_voxel_generator.hpp b/perception/lidar_centerpoint/test/test_voxel_generator.hpp
index 8fb7d8dffa44d..48355b8a331ba 100644
--- a/perception/lidar_centerpoint/test/test_voxel_generator.hpp
+++ b/perception/lidar_centerpoint/test/test_voxel_generator.hpp
@@ -33,34 +33,36 @@ class VoxelGeneratorTest : public testing::Test
   void TearDown() override;
 
   // These need to be public so that they can be accessed in the test cases
-  rclcpp::Node::SharedPtr node_;
+  rclcpp::Node::SharedPtr node_{};
 
-  std::unique_ptr<sensor_msgs::msg::PointCloud2> cloud1_, cloud2_;
-  geometry_msgs::msg::TransformStamped transform1_, transform2_;
+  std::unique_ptr<sensor_msgs::msg::PointCloud2> cloud1_{}, cloud2_{};
+  geometry_msgs::msg::TransformStamped transform1_{}, transform2_{};
 
-  std::unique_ptr<centerpoint::DensificationParam> densification_param_ptr_;
-  std::unique_ptr<centerpoint::CenterPointConfig> config_ptr_;
+  std::unique_ptr<centerpoint::DensificationParam> densification_param_ptr_{};
+  std::unique_ptr<centerpoint::CenterPointConfig> config_ptr_{};
 
-  std::unique_ptr<tf2_ros::Buffer> tf2_buffer_;
+  std::unique_ptr<tf2_ros::Buffer> tf2_buffer_{};
 
-  std::string world_frame_;
-  std::string lidar_frame_;
-  std::size_t points_per_pointcloud_;
-  std::size_t capacity_;
-  double delta_pointcloud_x_;
+  std::string world_frame_{};
+  std::string lidar_frame_{};
+  std::size_t points_per_pointcloud_{};
+  std::size_t capacity_{};
+  double delta_pointcloud_x_{};
 
-  std::size_t class_size_;
-  float point_feature_size_;
-  std::size_t max_voxel_size_;
+  std::size_t class_size_{};
+  float point_feature_size_{};
+  std::size_t max_voxel_size_{};
 
-  std::vector<double> point_cloud_range_;
-  std::vector<double> voxel_size_;
-  std::size_t downsample_factor_;
-  std::size_t encoder_in_feature_size_;
-  float score_threshold_;
-  float circle_nms_dist_threshold_;
-  std::vector<double> yaw_norm_thresholds_;
-  bool has_variance_;
+  std::vector<double> point_cloud_range_{};
+  std::vector<double> voxel_size_{};
+  std::size_t downsample_factor_{};
+  std::size_t encoder_in_feature_size_{};
+  float score_threshold_{};
+  float circle_nms_dist_threshold_{};
+  std::vector<double> yaw_norm_thresholds_{};
+  bool has_variance_{};
+
+  cudaStream_t stream_{};
 };
 
 #endif  // TEST_VOXEL_GENERATOR_HPP_
diff --git a/perception/lidar_centerpoint_tvm/include/lidar_centerpoint_tvm/node.hpp b/perception/lidar_centerpoint_tvm/include/lidar_centerpoint_tvm/node.hpp
index 7a7d3ff3f1f15..88a43139908a7 100644
--- a/perception/lidar_centerpoint_tvm/include/lidar_centerpoint_tvm/node.hpp
+++ b/perception/lidar_centerpoint_tvm/include/lidar_centerpoint_tvm/node.hpp
@@ -15,11 +15,11 @@
 #ifndef LIDAR_CENTERPOINT_TVM__NODE_HPP_
 #define LIDAR_CENTERPOINT_TVM__NODE_HPP_
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <lidar_centerpoint_tvm/centerpoint_tvm.hpp>
 #include <lidar_centerpoint_tvm/visibility_control.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_object_kinematics.hpp>
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
@@ -59,9 +59,9 @@ class LIDAR_CENTERPOINT_TVM_PUBLIC LidarCenterPointTVMNode : public rclcpp::Node
   std::unique_ptr<CenterPointTVM> detector_ptr_{nullptr};
 
   // debugger
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
 };
 
 }  // namespace lidar_centerpoint_tvm
diff --git a/perception/lidar_centerpoint_tvm/lib/centerpoint_tvm.cpp b/perception/lidar_centerpoint_tvm/lib/centerpoint_tvm.cpp
index 2e0f9ad28bfb6..91f727448b76a 100644
--- a/perception/lidar_centerpoint_tvm/lib/centerpoint_tvm.cpp
+++ b/perception/lidar_centerpoint_tvm/lib/centerpoint_tvm.cpp
@@ -14,12 +14,12 @@
 
 #include "lidar_centerpoint_tvm/centerpoint_tvm.hpp"
 
+#include <autoware/universe_utils/math/constants.hpp>
 #include <centerpoint_backbone/inference_engine_tvm_config.hpp>
 #include <centerpoint_backbone/preprocessing_inference_engine_tvm_config.hpp>
 #include <centerpoint_encoder/inference_engine_tvm_config.hpp>
 #include <lidar_centerpoint_tvm/centerpoint_config.hpp>
 #include <lidar_centerpoint_tvm/preprocess/generate_features.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
 #include <tvm_utility/pipeline.hpp>
 
 #include <iostream>
diff --git a/perception/lidar_centerpoint_tvm/lib/ros_utils.cpp b/perception/lidar_centerpoint_tvm/lib/ros_utils.cpp
index cde4b0fe4112d..94639d71e66c0 100644
--- a/perception/lidar_centerpoint_tvm/lib/ros_utils.cpp
+++ b/perception/lidar_centerpoint_tvm/lib/ros_utils.cpp
@@ -14,8 +14,8 @@
 
 #include "lidar_centerpoint_tvm/ros_utils.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
 
 namespace autoware
 {
@@ -65,14 +65,14 @@ void box3DToDetectedObject(
 
   // pose and shape
   // mmdet3d yaw format to ros yaw format
-  float yaw = -box3d.yaw - tier4_autoware_utils::pi / 2;
+  float yaw = -box3d.yaw - autoware::universe_utils::pi / 2;
   obj.kinematics.pose_with_covariance.pose.position =
-    tier4_autoware_utils::createPoint(box3d.x, box3d.y, box3d.z);
+    autoware::universe_utils::createPoint(box3d.x, box3d.y, box3d.z);
   obj.kinematics.pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(yaw);
+    autoware::universe_utils::createQuaternionFromYaw(yaw);
   obj.shape.type = autoware_perception_msgs::msg::Shape::BOUNDING_BOX;
   obj.shape.dimensions =
-    tier4_autoware_utils::createTranslation(box3d.length, box3d.width, box3d.height);
+    autoware::universe_utils::createTranslation(box3d.length, box3d.width, box3d.height);
 
   // twist
   if (has_twist) {
diff --git a/perception/lidar_centerpoint_tvm/package.xml b/perception/lidar_centerpoint_tvm/package.xml
index eac9bc3d2bf45..c71a27e4a1677 100644
--- a/perception/lidar_centerpoint_tvm/package.xml
+++ b/perception/lidar_centerpoint_tvm/package.xml
@@ -12,13 +12,13 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>pcl_ros</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tvm_utility</depend>
   <depend>tvm_vendor</depend>
 
diff --git a/perception/lidar_centerpoint_tvm/src/node.cpp b/perception/lidar_centerpoint_tvm/src/node.cpp
index 288b8d59aec21..9cf82b1c6bcae 100644
--- a/perception/lidar_centerpoint_tvm/src/node.cpp
+++ b/perception/lidar_centerpoint_tvm/src/node.cpp
@@ -94,8 +94,8 @@ LidarCenterPointTVMNode::LidarCenterPointTVMNode(const rclcpp::NodeOptions & nod
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ = std::make_unique<DebugPublisher>(this, "lidar_centerpoint_tvm");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/lidar_transfusion/include/lidar_transfusion/lidar_transfusion_node.hpp b/perception/lidar_transfusion/include/lidar_transfusion/lidar_transfusion_node.hpp
index 86303618d7877..a82013fac6ce7 100644
--- a/perception/lidar_transfusion/include/lidar_transfusion/lidar_transfusion_node.hpp
+++ b/perception/lidar_transfusion/include/lidar_transfusion/lidar_transfusion_node.hpp
@@ -21,10 +21,10 @@
 #include "lidar_transfusion/transfusion_trt.hpp"
 #include "lidar_transfusion/visibility_control.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_object_kinematics.hpp>
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
@@ -63,10 +63,10 @@ class LIDAR_TRANSFUSION_PUBLIC LidarTransfusionNode : public rclcpp::Node
   std::unique_ptr<TransfusionTRT> detector_ptr_{nullptr};
 
   // debugger
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_pub_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_pub_{nullptr};
 };
 }  // namespace lidar_transfusion
 
diff --git a/perception/lidar_transfusion/include/lidar_transfusion/transfusion_trt.hpp b/perception/lidar_transfusion/include/lidar_transfusion/transfusion_trt.hpp
index a94c3c1871136..0a9ea413dc30d 100644
--- a/perception/lidar_transfusion/include/lidar_transfusion/transfusion_trt.hpp
+++ b/perception/lidar_transfusion/include/lidar_transfusion/transfusion_trt.hpp
@@ -24,7 +24,7 @@
 #include "lidar_transfusion/utils.hpp"
 #include "lidar_transfusion/visibility_control.hpp"
 
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <sensor_msgs/msg/point_cloud2.hpp>
 
@@ -83,7 +83,7 @@ class LIDAR_TRANSFUSION_PUBLIC TransfusionTRT
 
   std::unique_ptr<NetworkTRT> network_trt_ptr_{nullptr};
   std::unique_ptr<VoxelGenerator> vg_ptr_{nullptr};
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
   std::unique_ptr<PreprocessCuda> pre_ptr_{nullptr};
   std::unique_ptr<PostprocessCuda> post_ptr_{nullptr};
diff --git a/perception/lidar_transfusion/lib/postprocess/non_maximum_suppression.cpp b/perception/lidar_transfusion/lib/postprocess/non_maximum_suppression.cpp
index c1179a3f6673d..dd12c52970d38 100644
--- a/perception/lidar_transfusion/lib/postprocess/non_maximum_suppression.cpp
+++ b/perception/lidar_transfusion/lib/postprocess/non_maximum_suppression.cpp
@@ -14,9 +14,9 @@
 
 #include "lidar_transfusion/postprocess/non_maximum_suppression.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <object_recognition_utils/geometry.hpp>
 #include <object_recognition_utils/object_recognition_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 namespace lidar_transfusion
 {
@@ -49,7 +49,7 @@ bool NonMaximumSuppression::isTargetPairObject(
   }
 
   const auto search_sqr_dist_2d = params_.search_distance_2d_ * params_.search_distance_2d_;
-  const auto sqr_dist_2d = tier4_autoware_utils::calcSquaredDistance2d(
+  const auto sqr_dist_2d = autoware::universe_utils::calcSquaredDistance2d(
     object_recognition_utils::getPose(object1), object_recognition_utils::getPose(object2));
   return sqr_dist_2d <= search_sqr_dist_2d;
 }
diff --git a/perception/lidar_transfusion/lib/ros_utils.cpp b/perception/lidar_transfusion/lib/ros_utils.cpp
index 0ecb34faf732d..ef5c45c339b64 100644
--- a/perception/lidar_transfusion/lib/ros_utils.cpp
+++ b/perception/lidar_transfusion/lib/ros_utils.cpp
@@ -14,9 +14,9 @@
 
 #include "lidar_transfusion/ros_utils.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
 #include <object_recognition_utils/object_recognition_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
 
 namespace lidar_transfusion
 {
@@ -49,14 +49,14 @@ void box3DToDetectedObject(
 
   // pose and shape
   // mmdet3d yaw format to ros yaw format
-  float yaw = box3d.yaw + tier4_autoware_utils::pi / 2;
+  float yaw = box3d.yaw + autoware::universe_utils::pi / 2;
   obj.kinematics.pose_with_covariance.pose.position =
-    tier4_autoware_utils::createPoint(box3d.x, box3d.y, box3d.z);
+    autoware::universe_utils::createPoint(box3d.x, box3d.y, box3d.z);
   obj.kinematics.pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(yaw);
+    autoware::universe_utils::createQuaternionFromYaw(yaw);
   obj.shape.type = autoware_perception_msgs::msg::Shape::BOUNDING_BOX;
   obj.shape.dimensions =
-    tier4_autoware_utils::createTranslation(box3d.length, box3d.width, box3d.height);
+    autoware::universe_utils::createTranslation(box3d.length, box3d.width, box3d.height);
 }
 
 uint8_t getSemanticType(const std::string & class_name)
diff --git a/perception/lidar_transfusion/lib/transfusion_trt.cpp b/perception/lidar_transfusion/lib/transfusion_trt.cpp
index c876c0906162b..d940b83c12cb4 100644
--- a/perception/lidar_transfusion/lib/transfusion_trt.cpp
+++ b/perception/lidar_transfusion/lib/transfusion_trt.cpp
@@ -17,7 +17,7 @@
 #include "lidar_transfusion/preprocess/preprocess_kernel.hpp"
 #include "lidar_transfusion/transfusion_config.hpp"
 
-#include <tier4_autoware_utils/math/constants.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
 
 #include <iostream>
 #include <memory>
@@ -37,7 +37,8 @@ TransfusionTRT::TransfusionTRT(
   network_trt_ptr_->init(
     network_param.onnx_path(), network_param.engine_path(), network_param.trt_precision());
   vg_ptr_ = std::make_unique<VoxelGenerator>(densification_param, config_, stream_);
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   stop_watch_ptr_->tic("processing/inner");
   initPtr();
 
diff --git a/perception/lidar_transfusion/package.xml b/perception/lidar_transfusion/package.xml
index 29643d0957eb1..ffbe091b998e5 100644
--- a/perception/lidar_transfusion/package.xml
+++ b/perception/lidar_transfusion/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>launch_ros</depend>
   <depend>object_recognition_utils</depend>
   <depend>pcl_ros</depend>
@@ -22,7 +23,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/lidar_transfusion/src/lidar_transfusion_node.cpp b/perception/lidar_transfusion/src/lidar_transfusion_node.cpp
index 9313015002973..e3ea6b3780de8 100644
--- a/perception/lidar_transfusion/src/lidar_transfusion_node.cpp
+++ b/perception/lidar_transfusion/src/lidar_transfusion_node.cpp
@@ -94,12 +94,12 @@ LidarTransfusionNode::LidarTransfusionNode(const rclcpp::NodeOptions & options)
   objects_pub_ = this->create_publisher<autoware_perception_msgs::msg::DetectedObjects>(
     "~/output/objects", rclcpp::QoS(1));
 
-  published_time_pub_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_pub_ = std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ = std::make_unique<DebugPublisher>(this, this->get_name());
     stop_watch_ptr_->tic("cyclic");
diff --git a/perception/multi_object_tracker/include/multi_object_tracker/debugger/debug_object.hpp b/perception/multi_object_tracker/include/multi_object_tracker/debugger/debug_object.hpp
index c685024d6ef8b..7c1b814258bcf 100644
--- a/perception/multi_object_tracker/include/multi_object_tracker/debugger/debug_object.hpp
+++ b/perception/multi_object_tracker/include/multi_object_tracker/debugger/debug_object.hpp
@@ -17,8 +17,8 @@
 
 #include "multi_object_tracker/tracker/model/tracker_base.hpp"
 
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include "unique_identifier_msgs/msg/uuid.hpp"
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
diff --git a/perception/multi_object_tracker/include/multi_object_tracker/debugger/debugger.hpp b/perception/multi_object_tracker/include/multi_object_tracker/debugger/debugger.hpp
index 9ab5576faccd8..3019f16ada7c9 100644
--- a/perception/multi_object_tracker/include/multi_object_tracker/debugger/debugger.hpp
+++ b/perception/multi_object_tracker/include/multi_object_tracker/debugger/debugger.hpp
@@ -17,11 +17,11 @@
 
 #include "multi_object_tracker/debugger/debug_object.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <diagnostic_updater/publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <autoware_perception_msgs/msg/tracked_objects.hpp>
@@ -56,7 +56,7 @@ class TrackerDebugger
   rclcpp::Node & node_;
   rclcpp::Publisher<autoware_perception_msgs::msg::TrackedObjects>::SharedPtr
     debug_tentative_objects_pub_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
   rclcpp::Publisher<visualization_msgs::msg::MarkerArray>::SharedPtr debug_objects_markers_pub_;
 
   diagnostic_updater::Updater diagnostic_updater_;
diff --git a/perception/multi_object_tracker/include/multi_object_tracker/multi_object_tracker_core.hpp b/perception/multi_object_tracker/include/multi_object_tracker/multi_object_tracker_core.hpp
index 569bc4f43a3d4..4c1ccced1bcf7 100644
--- a/perception/multi_object_tracker/include/multi_object_tracker/multi_object_tracker_core.hpp
+++ b/perception/multi_object_tracker/include/multi_object_tracker/multi_object_tracker_core.hpp
@@ -73,7 +73,7 @@ class MultiObjectTracker : public rclcpp::Node
 
   // debugger
   std::unique_ptr<TrackerDebugger> debugger_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // publish timer
   rclcpp::TimerBase::SharedPtr publish_timer_;
diff --git a/perception/multi_object_tracker/package.xml b/perception/multi_object_tracker/package.xml
index 4e2696700bfdc..67f56273e79c5 100644
--- a/perception/multi_object_tracker/package.xml
+++ b/perception/multi_object_tracker/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>eigen</depend>
   <depend>glog</depend>
@@ -24,7 +25,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>unique_identifier_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/multi_object_tracker/src/data_association/data_association.cpp b/perception/multi_object_tracker/src/data_association/data_association.cpp
index 0ff3188e069f2..013137aa8b82c 100644
--- a/perception/multi_object_tracker/src/data_association/data_association.cpp
+++ b/perception/multi_object_tracker/src/data_association/data_association.cpp
@@ -52,8 +52,8 @@ double getFormedYawAngle(
   const geometry_msgs::msg::Quaternion & tracker_quat, const bool distinguish_front_or_back = true)
 {
   const double measurement_yaw =
-    tier4_autoware_utils::normalizeRadian(tf2::getYaw(measurement_quat));
-  const double tracker_yaw = tier4_autoware_utils::normalizeRadian(tf2::getYaw(tracker_quat));
+    autoware::universe_utils::normalizeRadian(tf2::getYaw(measurement_quat));
+  const double tracker_yaw = autoware::universe_utils::normalizeRadian(tf2::getYaw(tracker_quat));
   const double angle_range = distinguish_front_or_back ? M_PI : M_PI_2;
   const double angle_step = distinguish_front_or_back ? 2.0 * M_PI : M_PI;
   // Fixed measurement_yaw to be in the range of +-90 or 180 degrees of X_t(IDX::YAW)
@@ -170,7 +170,7 @@ Eigen::MatrixXd DataAssociation::calcScoreMatrix(
         (*tracker_itr)->getTrackedObject(measurements.header.stamp, tracked_object);
 
         const double max_dist = max_dist_matrix_(tracker_label, measurement_label);
-        const double dist = tier4_autoware_utils::calcDistance2d(
+        const double dist = autoware::universe_utils::calcDistance2d(
           measurement_object.kinematics.pose_with_covariance.pose.position,
           tracked_object.kinematics.pose_with_covariance.pose.position);
 
@@ -183,7 +183,7 @@ Eigen::MatrixXd DataAssociation::calcScoreMatrix(
         if (passed_gate) {
           const double max_area = max_area_matrix_(tracker_label, measurement_label);
           const double min_area = min_area_matrix_(tracker_label, measurement_label);
-          const double area = tier4_autoware_utils::getArea(measurement_object.shape);
+          const double area = autoware::universe_utils::getArea(measurement_object.shape);
           if (area < min_area || max_area < area) passed_gate = false;
         }
         // angle gate
diff --git a/perception/multi_object_tracker/src/debugger/debug_object.cpp b/perception/multi_object_tracker/src/debugger/debug_object.cpp
index e6a0b6242a168..fe6d3d5c75564 100644
--- a/perception/multi_object_tracker/src/debugger/debug_object.cpp
+++ b/perception/multi_object_tracker/src/debugger/debug_object.cpp
@@ -236,8 +236,9 @@ void TrackerObjectDebugger::draw(
       stream << std::fixed << std::setprecision(0) << object_data_front.existence_vector[i] * 100;
       existence_probability_text += channel_names_[i] + stream.str() + ":";
     }
-    existence_probability_text =
-      existence_probability_text.substr(0, existence_probability_text.size() - 1);
+    if (!existence_probability_text.empty()) {
+      existence_probability_text.pop_back();
+    }
     existence_probability_text += "\n" + object_data_front.uuid_str.substr(0, 6);
 
     text_marker.text = existence_probability_text;
diff --git a/perception/multi_object_tracker/src/debugger/debugger.cpp b/perception/multi_object_tracker/src/debugger/debugger.cpp
index 7b4f9d717a927..a3ece17eab112 100644
--- a/perception/multi_object_tracker/src/debugger/debugger.cpp
+++ b/perception/multi_object_tracker/src/debugger/debugger.cpp
@@ -24,7 +24,7 @@ TrackerDebugger::TrackerDebugger(rclcpp::Node & node, const std::string & frame_
   // initialize debug publishers
   if (debug_settings_.publish_processing_time) {
     processing_time_publisher_ =
-      std::make_unique<tier4_autoware_utils::DebugPublisher>(&node_, "multi_object_tracker");
+      std::make_unique<autoware::universe_utils::DebugPublisher>(&node_, "multi_object_tracker");
   }
 
   if (debug_settings_.publish_tentative_objects) {
diff --git a/perception/multi_object_tracker/src/multi_object_tracker_core.cpp b/perception/multi_object_tracker/src/multi_object_tracker_core.cpp
index 70433f16125c9..54255e706e35a 100644
--- a/perception/multi_object_tracker/src/multi_object_tracker_core.cpp
+++ b/perception/multi_object_tracker/src/multi_object_tracker_core.cpp
@@ -199,7 +199,8 @@ MultiObjectTracker::MultiObjectTracker(const rclcpp::NodeOptions & node_options)
   // Debugger
   debugger_ = std::make_unique<TrackerDebugger>(*this, world_frame_id_);
   debugger_->setObjectChannels(input_names_short);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void MultiObjectTracker::onTrigger()
diff --git a/perception/multi_object_tracker/src/tracker/model/bicycle_tracker.cpp b/perception/multi_object_tracker/src/tracker/model/bicycle_tracker.cpp
index b54c9b832b0cf..05e06107c2247 100644
--- a/perception/multi_object_tracker/src/tracker/model/bicycle_tracker.cpp
+++ b/perception/multi_object_tracker/src/tracker/model/bicycle_tracker.cpp
@@ -20,9 +20,9 @@
 
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -57,9 +57,9 @@ BicycleTracker::BicycleTracker(
 
   // Initialize parameters
   // measurement noise covariance: detector uncertainty + ego vehicle motion uncertainty
-  double r_stddev_x = 0.5;                                  // in vehicle coordinate [m]
-  double r_stddev_y = 0.4;                                  // in vehicle coordinate [m]
-  double r_stddev_yaw = tier4_autoware_utils::deg2rad(30);  // in map coordinate [rad]
+  double r_stddev_x = 0.5;                                      // in vehicle coordinate [m]
+  double r_stddev_y = 0.4;                                      // in vehicle coordinate [m]
+  double r_stddev_yaw = autoware::universe_utils::deg2rad(30);  // in map coordinate [rad]
   ekf_params_.r_cov_x = std::pow(r_stddev_x, 2.0);
   ekf_params_.r_cov_y = std::pow(r_stddev_y, 2.0);
   ekf_params_.r_cov_yaw = std::pow(r_stddev_yaw, 2.0);
@@ -102,8 +102,8 @@ BicycleTracker::BicycleTracker(
 
   // Set motion limits
   {
-    constexpr double max_vel = tier4_autoware_utils::kmph2mps(80);  // [m/s] maximum velocity
-    constexpr double max_slip = 30;                                 // [deg] maximum slip angle
+    constexpr double max_vel = autoware::universe_utils::kmph2mps(80);  // [m/s] maximum velocity
+    constexpr double max_slip = 30;                                     // [deg] maximum slip angle
     motion_model_.setMotionLimits(max_vel, max_slip);  // maximum velocity and slip angle
   }
 
@@ -126,7 +126,7 @@ BicycleTracker::BicycleTracker(
       constexpr double p0_stddev_x = 0.8;  // in object coordinate [m]
       constexpr double p0_stddev_y = 0.5;  // in object coordinate [m]
       constexpr double p0_stddev_yaw =
-        tier4_autoware_utils::deg2rad(25);  // in map coordinate [rad]
+        autoware::universe_utils::deg2rad(25);  // in map coordinate [rad]
       constexpr double p0_cov_x = p0_stddev_x * p0_stddev_x;
       constexpr double p0_cov_y = p0_stddev_y * p0_stddev_y;
       constexpr double p0_cov_yaw = p0_stddev_yaw * p0_stddev_yaw;
@@ -145,14 +145,15 @@ BicycleTracker::BicycleTracker(
 
     if (!object.kinematics.has_twist_covariance) {
       constexpr double p0_stddev_vel =
-        tier4_autoware_utils::kmph2mps(1000);  // in object coordinate [m/s]
+        autoware::universe_utils::kmph2mps(1000);  // in object coordinate [m/s]
       vel_cov = std::pow(p0_stddev_vel, 2.0);
     } else {
       vel_cov = object.kinematics.twist_with_covariance.covariance[utils::MSG_COV_IDX::X_X];
     }
 
     const double slip = 0.0;
-    const double p0_stddev_slip = tier4_autoware_utils::deg2rad(5);  // in object coordinate [rad/s]
+    const double p0_stddev_slip =
+      autoware::universe_utils::deg2rad(5);  // in object coordinate [rad/s]
     const double slip_cov = std::pow(p0_stddev_slip, 2.0);
 
     // initialize motion model
@@ -327,7 +328,7 @@ bool BicycleTracker::getTrackedObject(
   const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
   const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
   object.shape.footprint =
-    tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+    autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
 
   return true;
 }
diff --git a/perception/multi_object_tracker/src/tracker/model/big_vehicle_tracker.cpp b/perception/multi_object_tracker/src/tracker/model/big_vehicle_tracker.cpp
index ebf5a977ed44a..4414d8a21ca01 100644
--- a/perception/multi_object_tracker/src/tracker/model/big_vehicle_tracker.cpp
+++ b/perception/multi_object_tracker/src/tracker/model/big_vehicle_tracker.cpp
@@ -20,9 +20,9 @@
 
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -58,10 +58,10 @@ BigVehicleTracker::BigVehicleTracker(
 
   // Initialize parameters
   // measurement noise covariance: detector uncertainty + ego vehicle motion uncertainty
-  float r_stddev_x = 0.5;                                  // in vehicle coordinate [m]
-  float r_stddev_y = 0.4;                                  // in vehicle coordinate [m]
-  float r_stddev_yaw = tier4_autoware_utils::deg2rad(20);  // in map coordinate [rad]
-  float r_stddev_vel = 1.0;                                // in object coordinate [m/s]
+  float r_stddev_x = 0.5;                                      // in vehicle coordinate [m]
+  float r_stddev_y = 0.4;                                      // in vehicle coordinate [m]
+  float r_stddev_yaw = autoware::universe_utils::deg2rad(20);  // in map coordinate [rad]
+  float r_stddev_vel = 1.0;                                    // in object coordinate [m/s]
   ekf_params_.r_cov_x = std::pow(r_stddev_x, 2.0);
   ekf_params_.r_cov_y = std::pow(r_stddev_y, 2.0);
   ekf_params_.r_cov_yaw = std::pow(r_stddev_yaw, 2.0);
@@ -70,7 +70,7 @@ BigVehicleTracker::BigVehicleTracker(
   // velocity deviation threshold
   //   if the predicted velocity is close to the observed velocity,
   //   the observed velocity is used as the measurement.
-  velocity_deviation_threshold_ = tier4_autoware_utils::kmph2mps(10);  // [m/s]
+  velocity_deviation_threshold_ = autoware::universe_utils::kmph2mps(10);  // [m/s]
 
   // OBJECT SHAPE MODEL
   if (object.shape.type == autoware_perception_msgs::msg::Shape::BOUNDING_BOX) {
@@ -120,8 +120,8 @@ BigVehicleTracker::BigVehicleTracker(
 
   // Set motion limits
   {
-    constexpr double max_vel = tier4_autoware_utils::kmph2mps(100);  // [m/s] maximum velocity
-    constexpr double max_slip = 30;                                  // [deg] maximum slip angle
+    constexpr double max_vel = autoware::universe_utils::kmph2mps(100);  // [m/s] maximum velocity
+    constexpr double max_slip = 30;                                      // [deg] maximum slip angle
     motion_model_.setMotionLimits(max_vel, max_slip);  // maximum velocity and slip angle
   }
 
@@ -144,7 +144,7 @@ BigVehicleTracker::BigVehicleTracker(
       constexpr double p0_stddev_x = 1.5;  // in object coordinate [m]
       constexpr double p0_stddev_y = 0.5;  // in object coordinate [m]
       constexpr double p0_stddev_yaw =
-        tier4_autoware_utils::deg2rad(25);  // in map coordinate [rad]
+        autoware::universe_utils::deg2rad(25);  // in map coordinate [rad]
       constexpr double p0_cov_x = p0_stddev_x * p0_stddev_x;
       constexpr double p0_cov_y = p0_stddev_y * p0_stddev_y;
       constexpr double p0_cov_yaw = p0_stddev_yaw * p0_stddev_yaw;
@@ -163,14 +163,15 @@ BigVehicleTracker::BigVehicleTracker(
 
     if (!object.kinematics.has_twist_covariance) {
       constexpr double p0_stddev_vel =
-        tier4_autoware_utils::kmph2mps(1000);  // in object coordinate [m/s]
+        autoware::universe_utils::kmph2mps(1000);  // in object coordinate [m/s]
       vel_cov = std::pow(p0_stddev_vel, 2.0);
     } else {
       vel_cov = object.kinematics.twist_with_covariance.covariance[utils::MSG_COV_IDX::X_X];
     }
 
     const double slip = 0.0;
-    const double p0_stddev_slip = tier4_autoware_utils::deg2rad(5);  // in object coordinate [rad/s]
+    const double p0_stddev_slip =
+      autoware::universe_utils::deg2rad(5);  // in object coordinate [rad/s]
     const double slip_cov = std::pow(p0_stddev_slip, 2.0);
 
     // initialize motion model
@@ -422,7 +423,7 @@ bool BigVehicleTracker::getTrackedObject(
   const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
   const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
   object.shape.footprint =
-    tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+    autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
 
   return true;
 }
diff --git a/perception/multi_object_tracker/src/tracker/model/normal_vehicle_tracker.cpp b/perception/multi_object_tracker/src/tracker/model/normal_vehicle_tracker.cpp
index 3b6f644614d9b..1fff1a13add65 100644
--- a/perception/multi_object_tracker/src/tracker/model/normal_vehicle_tracker.cpp
+++ b/perception/multi_object_tracker/src/tracker/model/normal_vehicle_tracker.cpp
@@ -20,9 +20,9 @@
 
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -58,10 +58,10 @@ NormalVehicleTracker::NormalVehicleTracker(
 
   // Initialize parameters
   // measurement noise covariance: detector uncertainty + ego vehicle motion uncertainty
-  float r_stddev_x = 0.5;                                  // in vehicle coordinate [m]
-  float r_stddev_y = 0.4;                                  // in vehicle coordinate [m]
-  float r_stddev_yaw = tier4_autoware_utils::deg2rad(20);  // in map coordinate [rad]
-  float r_stddev_vel = 1.0;                                // in object coordinate [m/s]
+  float r_stddev_x = 0.5;                                      // in vehicle coordinate [m]
+  float r_stddev_y = 0.4;                                      // in vehicle coordinate [m]
+  float r_stddev_yaw = autoware::universe_utils::deg2rad(20);  // in map coordinate [rad]
+  float r_stddev_vel = 1.0;                                    // in object coordinate [m/s]
   ekf_params_.r_cov_x = std::pow(r_stddev_x, 2.0);
   ekf_params_.r_cov_y = std::pow(r_stddev_y, 2.0);
   ekf_params_.r_cov_yaw = std::pow(r_stddev_yaw, 2.0);
@@ -70,7 +70,7 @@ NormalVehicleTracker::NormalVehicleTracker(
   // velocity deviation threshold
   //   if the predicted velocity is close to the observed velocity,
   //   the observed velocity is used as the measurement.
-  velocity_deviation_threshold_ = tier4_autoware_utils::kmph2mps(10);  // [m/s]
+  velocity_deviation_threshold_ = autoware::universe_utils::kmph2mps(10);  // [m/s]
 
   // OBJECT SHAPE MODEL
   if (object.shape.type == autoware_perception_msgs::msg::Shape::BOUNDING_BOX) {
@@ -121,8 +121,8 @@ NormalVehicleTracker::NormalVehicleTracker(
 
   // Set motion limits
   {
-    constexpr double max_vel = tier4_autoware_utils::kmph2mps(100);  // [m/s] maximum velocity
-    constexpr double max_slip = 30;                                  // [deg] maximum slip angle
+    constexpr double max_vel = autoware::universe_utils::kmph2mps(100);  // [m/s] maximum velocity
+    constexpr double max_slip = 30;                                      // [deg] maximum slip angle
     motion_model_.setMotionLimits(max_vel, max_slip);  // maximum velocity and slip angle
   }
 
@@ -145,7 +145,7 @@ NormalVehicleTracker::NormalVehicleTracker(
       constexpr double p0_stddev_x = 1.0;  // in object coordinate [m]
       constexpr double p0_stddev_y = 0.3;  // in object coordinate [m]
       constexpr double p0_stddev_yaw =
-        tier4_autoware_utils::deg2rad(25);  // in map coordinate [rad]
+        autoware::universe_utils::deg2rad(25);  // in map coordinate [rad]
       constexpr double p0_cov_x = p0_stddev_x * p0_stddev_x;
       constexpr double p0_cov_y = p0_stddev_y * p0_stddev_y;
       constexpr double p0_cov_yaw = p0_stddev_yaw * p0_stddev_yaw;
@@ -164,14 +164,15 @@ NormalVehicleTracker::NormalVehicleTracker(
 
     if (!object.kinematics.has_twist_covariance) {
       constexpr double p0_stddev_vel =
-        tier4_autoware_utils::kmph2mps(1000);  // in object coordinate [m/s]
+        autoware::universe_utils::kmph2mps(1000);  // in object coordinate [m/s]
       vel_cov = std::pow(p0_stddev_vel, 2.0);
     } else {
       vel_cov = object.kinematics.twist_with_covariance.covariance[utils::MSG_COV_IDX::X_X];
     }
 
     const double slip = 0.0;
-    const double p0_stddev_slip = tier4_autoware_utils::deg2rad(5);  // in object coordinate [rad/s]
+    const double p0_stddev_slip =
+      autoware::universe_utils::deg2rad(5);  // in object coordinate [rad/s]
     const double slip_cov = std::pow(p0_stddev_slip, 2.0);
 
     // initialize motion model
@@ -424,7 +425,7 @@ bool NormalVehicleTracker::getTrackedObject(
   const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
   const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
   object.shape.footprint =
-    tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+    autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
 
   return true;
 }
diff --git a/perception/multi_object_tracker/src/tracker/model/pedestrian_tracker.cpp b/perception/multi_object_tracker/src/tracker/model/pedestrian_tracker.cpp
index 6c8198b51ecd0..887810066f038 100644
--- a/perception/multi_object_tracker/src/tracker/model/pedestrian_tracker.cpp
+++ b/perception/multi_object_tracker/src/tracker/model/pedestrian_tracker.cpp
@@ -20,9 +20,9 @@
 
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -57,9 +57,9 @@ PedestrianTracker::PedestrianTracker(
 
   // Initialize parameters
   // measurement noise covariance
-  float r_stddev_x = 0.4;                                  // [m]
-  float r_stddev_y = 0.4;                                  // [m]
-  float r_stddev_yaw = tier4_autoware_utils::deg2rad(30);  // [rad]
+  float r_stddev_x = 0.4;                                      // [m]
+  float r_stddev_y = 0.4;                                      // [m]
+  float r_stddev_yaw = autoware::universe_utils::deg2rad(30);  // [rad]
   ekf_params_.r_cov_x = std::pow(r_stddev_x, 2.0);
   ekf_params_.r_cov_y = std::pow(r_stddev_y, 2.0);
   ekf_params_.r_cov_yaw = std::pow(r_stddev_yaw, 2.0);
@@ -86,18 +86,18 @@ PedestrianTracker::PedestrianTracker(
 
   // Set motion model parameters
   {
-    constexpr double q_stddev_x = 0.5;                                  // [m/s]
-    constexpr double q_stddev_y = 0.5;                                  // [m/s]
-    constexpr double q_stddev_yaw = tier4_autoware_utils::deg2rad(20);  // [rad/s]
-    constexpr double q_stddev_vx = 9.8 * 0.3;                           // [m/(s*s)]
-    constexpr double q_stddev_wz = tier4_autoware_utils::deg2rad(30);   // [rad/(s*s)]
+    constexpr double q_stddev_x = 0.5;                                      // [m/s]
+    constexpr double q_stddev_y = 0.5;                                      // [m/s]
+    constexpr double q_stddev_yaw = autoware::universe_utils::deg2rad(20);  // [rad/s]
+    constexpr double q_stddev_vx = 9.8 * 0.3;                               // [m/(s*s)]
+    constexpr double q_stddev_wz = autoware::universe_utils::deg2rad(30);   // [rad/(s*s)]
     motion_model_.setMotionParams(q_stddev_x, q_stddev_y, q_stddev_yaw, q_stddev_vx, q_stddev_wz);
   }
 
   // Set motion limits
   motion_model_.setMotionLimits(
-    tier4_autoware_utils::kmph2mps(100), /* [m/s] maximum velocity */
-    30.0                                 /* [deg/s] maximum turn rate */
+    autoware::universe_utils::kmph2mps(100), /* [m/s] maximum velocity */
+    30.0                                     /* [deg/s] maximum turn rate */
   );
 
   // Set initial state
@@ -121,7 +121,7 @@ PedestrianTracker::PedestrianTracker(
       constexpr double p0_stddev_x = 2.0;  // in object coordinate [m]
       constexpr double p0_stddev_y = 2.0;  // in object coordinate [m]
       constexpr double p0_stddev_yaw =
-        tier4_autoware_utils::deg2rad(1000);  // in map coordinate [rad]
+        autoware::universe_utils::deg2rad(1000);  // in map coordinate [rad]
       constexpr double p0_cov_x = p0_stddev_x * p0_stddev_x;
       constexpr double p0_cov_y = p0_stddev_y * p0_stddev_y;
       constexpr double p0_cov_yaw = p0_stddev_yaw * p0_stddev_yaw;
@@ -140,9 +140,9 @@ PedestrianTracker::PedestrianTracker(
 
     if (!object.kinematics.has_twist_covariance) {
       constexpr double p0_stddev_vel =
-        tier4_autoware_utils::kmph2mps(120);  // in object coordinate [m/s]
+        autoware::universe_utils::kmph2mps(120);  // in object coordinate [m/s]
       constexpr double p0_stddev_wz =
-        tier4_autoware_utils::deg2rad(360);  // in object coordinate [rad/s]
+        autoware::universe_utils::deg2rad(360);  // in object coordinate [rad/s]
       vel_cov = std::pow(p0_stddev_vel, 2.0);
       wz_cov = std::pow(p0_stddev_wz, 2.0);
     } else {
@@ -323,7 +323,7 @@ bool PedestrianTracker::getTrackedObject(
     const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
     const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
     object.shape.footprint =
-      tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+      autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
   }
 
   return true;
diff --git a/perception/multi_object_tracker/src/tracker/model/unknown_tracker.cpp b/perception/multi_object_tracker/src/tracker/model/unknown_tracker.cpp
index f15d5042a2316..8e484623ef0aa 100644
--- a/perception/multi_object_tracker/src/tracker/model/unknown_tracker.cpp
+++ b/perception/multi_object_tracker/src/tracker/model/unknown_tracker.cpp
@@ -16,9 +16,9 @@
 
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -67,8 +67,8 @@ UnknownTracker::UnknownTracker(
 
   // Set motion limits
   motion_model_.setMotionLimits(
-    tier4_autoware_utils::kmph2mps(60), /* [m/s] maximum velocity, x */
-    tier4_autoware_utils::kmph2mps(60)  /* [m/s] maximum velocity, y */
+    autoware::universe_utils::kmph2mps(60), /* [m/s] maximum velocity, x */
+    autoware::universe_utils::kmph2mps(60)  /* [m/s] maximum velocity, y */
   );
 
   // Set initial state
@@ -107,8 +107,8 @@ UnknownTracker::UnknownTracker(
     }
 
     if (!object.kinematics.has_twist_covariance) {
-      constexpr double p0_stddev_vx = tier4_autoware_utils::kmph2mps(10);  // [m/s]
-      constexpr double p0_stddev_vy = tier4_autoware_utils::kmph2mps(10);  // [m/s]
+      constexpr double p0_stddev_vx = autoware::universe_utils::kmph2mps(10);  // [m/s]
+      constexpr double p0_stddev_vy = autoware::universe_utils::kmph2mps(10);  // [m/s]
       const double p0_cov_vx = std::pow(p0_stddev_vx, 2.0);
       const double p0_cov_vy = std::pow(p0_stddev_vy, 2.0);
       twist_cov[utils::MSG_COV_IDX::X_X] = p0_cov_vx;
diff --git a/perception/multi_object_tracker/src/tracker/motion_model/bicycle_motion_model.cpp b/perception/multi_object_tracker/src/tracker/motion_model/bicycle_motion_model.cpp
index ef8a45f608098..f21855c2356ef 100644
--- a/perception/multi_object_tracker/src/tracker/motion_model/bicycle_motion_model.cpp
+++ b/perception/multi_object_tracker/src/tracker/motion_model/bicycle_motion_model.cpp
@@ -21,8 +21,8 @@
 #include "multi_object_tracker/tracker/motion_model/motion_model_base.hpp"
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
@@ -60,8 +60,8 @@ void BicycleMotionModel::setDefaultParams()
     lr_min);
 
   // set motion limitations
-  constexpr double max_vel = tier4_autoware_utils::kmph2mps(100);  // [m/s] maximum velocity
-  constexpr double max_slip = 30.0;                                // [deg] maximum slip angle
+  constexpr double max_vel = autoware::universe_utils::kmph2mps(100);  // [m/s] maximum velocity
+  constexpr double max_slip = 30.0;                                    // [deg] maximum slip angle
   setMotionLimits(max_vel, max_slip);
 
   // set prediction parameters
@@ -79,13 +79,13 @@ void BicycleMotionModel::setMotionParams(
   // set process noise covariance parameters
   motion_params_.q_stddev_acc_long = q_stddev_acc_long;
   motion_params_.q_stddev_acc_lat = q_stddev_acc_lat;
-  motion_params_.q_stddev_yaw_rate_min = tier4_autoware_utils::deg2rad(q_stddev_yaw_rate_min);
-  motion_params_.q_stddev_yaw_rate_max = tier4_autoware_utils::deg2rad(q_stddev_yaw_rate_max);
+  motion_params_.q_stddev_yaw_rate_min = autoware::universe_utils::deg2rad(q_stddev_yaw_rate_min);
+  motion_params_.q_stddev_yaw_rate_max = autoware::universe_utils::deg2rad(q_stddev_yaw_rate_max);
   motion_params_.q_cov_slip_rate_min =
-    std::pow(tier4_autoware_utils::deg2rad(q_stddev_slip_rate_min), 2.0);
+    std::pow(autoware::universe_utils::deg2rad(q_stddev_slip_rate_min), 2.0);
   motion_params_.q_cov_slip_rate_max =
-    std::pow(tier4_autoware_utils::deg2rad(q_stddev_slip_rate_max), 2.0);
-  motion_params_.q_max_slip_angle = tier4_autoware_utils::deg2rad(q_max_slip_angle);
+    std::pow(autoware::universe_utils::deg2rad(q_stddev_slip_rate_max), 2.0);
+  motion_params_.q_max_slip_angle = autoware::universe_utils::deg2rad(q_max_slip_angle);
 
   constexpr double minimum_wheel_pos = 0.01;  // minimum of 0.01m
   if (lf_min < minimum_wheel_pos || lr_min < minimum_wheel_pos) {
@@ -103,7 +103,7 @@ void BicycleMotionModel::setMotionLimits(const double & max_vel, const double &
 {
   // set motion limitations
   motion_params_.max_vel = max_vel;
-  motion_params_.max_slip = tier4_autoware_utils::deg2rad(max_slip);
+  motion_params_.max_slip = autoware::universe_utils::deg2rad(max_slip);
 }
 
 bool BicycleMotionModel::initialize(
@@ -252,7 +252,7 @@ bool BicycleMotionModel::limitStates()
   Eigen::MatrixXd P_t(DIM, DIM);
   ekf_.getX(X_t);
   ekf_.getP(P_t);
-  X_t(IDX::YAW) = tier4_autoware_utils::normalizeRadian(X_t(IDX::YAW));
+  X_t(IDX::YAW) = autoware::universe_utils::normalizeRadian(X_t(IDX::YAW));
   if (!(-motion_params_.max_vel <= X_t(IDX::VEL) && X_t(IDX::VEL) <= motion_params_.max_vel)) {
     X_t(IDX::VEL) = X_t(IDX::VEL) < 0 ? -motion_params_.max_vel : motion_params_.max_vel;
   }
diff --git a/perception/multi_object_tracker/src/tracker/motion_model/ctrv_motion_model.cpp b/perception/multi_object_tracker/src/tracker/motion_model/ctrv_motion_model.cpp
index 9e8327e381057..79ce6e5dbb61c 100644
--- a/perception/multi_object_tracker/src/tracker/motion_model/ctrv_motion_model.cpp
+++ b/perception/multi_object_tracker/src/tracker/motion_model/ctrv_motion_model.cpp
@@ -21,8 +21,8 @@
 #include "multi_object_tracker/tracker/motion_model/motion_model_base.hpp"
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
@@ -40,17 +40,17 @@ CTRVMotionModel::CTRVMotionModel() : MotionModel(), logger_(rclcpp::get_logger("
 void CTRVMotionModel::setDefaultParams()
 {
   // process noise covariance
-  constexpr double q_stddev_x = 0.5;                                  // [m/s]
-  constexpr double q_stddev_y = 0.5;                                  // [m/s]
-  constexpr double q_stddev_yaw = tier4_autoware_utils::deg2rad(20);  // [rad/s]
-  constexpr double q_stddev_vel = 9.8 * 0.3;                          // [m/(s*s)]
-  constexpr double q_stddev_wz = tier4_autoware_utils::deg2rad(30);   // [rad/(s*s)]
+  constexpr double q_stddev_x = 0.5;                                      // [m/s]
+  constexpr double q_stddev_y = 0.5;                                      // [m/s]
+  constexpr double q_stddev_yaw = autoware::universe_utils::deg2rad(20);  // [rad/s]
+  constexpr double q_stddev_vel = 9.8 * 0.3;                              // [m/(s*s)]
+  constexpr double q_stddev_wz = autoware::universe_utils::deg2rad(30);   // [rad/(s*s)]
 
   setMotionParams(q_stddev_x, q_stddev_y, q_stddev_yaw, q_stddev_vel, q_stddev_wz);
 
   // set motion limitations
-  constexpr double max_vel = tier4_autoware_utils::kmph2mps(10);  // [m/s] maximum velocity
-  constexpr double max_wz = 30.0;                                 // [deg] maximum yaw rate
+  constexpr double max_vel = autoware::universe_utils::kmph2mps(10);  // [m/s] maximum velocity
+  constexpr double max_wz = 30.0;                                     // [deg] maximum yaw rate
   setMotionLimits(max_vel, max_wz);
 
   // set prediction parameters
@@ -74,7 +74,7 @@ void CTRVMotionModel::setMotionLimits(const double & max_vel, const double & max
 {
   // set motion limitations
   motion_params_.max_vel = max_vel;
-  motion_params_.max_wz = tier4_autoware_utils::deg2rad(max_wz);
+  motion_params_.max_wz = autoware::universe_utils::deg2rad(max_wz);
 }
 
 bool CTRVMotionModel::initialize(
@@ -220,7 +220,7 @@ bool CTRVMotionModel::limitStates()
   Eigen::MatrixXd P_t(DIM, DIM);
   ekf_.getX(X_t);
   ekf_.getP(P_t);
-  X_t(IDX::YAW) = tier4_autoware_utils::normalizeRadian(X_t(IDX::YAW));
+  X_t(IDX::YAW) = autoware::universe_utils::normalizeRadian(X_t(IDX::YAW));
   if (!(-motion_params_.max_vel <= X_t(IDX::VEL) && X_t(IDX::VEL) <= motion_params_.max_vel)) {
     X_t(IDX::VEL) = X_t(IDX::VEL) < 0 ? -motion_params_.max_vel : motion_params_.max_vel;
   }
diff --git a/perception/multi_object_tracker/src/tracker/motion_model/cv_motion_model.cpp b/perception/multi_object_tracker/src/tracker/motion_model/cv_motion_model.cpp
index a9ad03e7875c5..8b3e9014f52d7 100644
--- a/perception/multi_object_tracker/src/tracker/motion_model/cv_motion_model.cpp
+++ b/perception/multi_object_tracker/src/tracker/motion_model/cv_motion_model.cpp
@@ -21,8 +21,8 @@
 #include "multi_object_tracker/tracker/motion_model/motion_model_base.hpp"
 #include "multi_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <tf2/utils.h>
 
@@ -49,8 +49,8 @@ void CVMotionModel::setDefaultParams()
   setMotionParams(q_stddev_x, q_stddev_y, q_stddev_vx, q_stddev_vy);
 
   // set motion limitations
-  constexpr double max_vx = tier4_autoware_utils::kmph2mps(60);  // [m/s] maximum x velocity
-  constexpr double max_vy = tier4_autoware_utils::kmph2mps(60);  // [m/s] maximum y velocity
+  constexpr double max_vx = autoware::universe_utils::kmph2mps(60);  // [m/s] maximum x velocity
+  constexpr double max_vy = autoware::universe_utils::kmph2mps(60);  // [m/s] maximum y velocity
   setMotionLimits(max_vx, max_vy);
 
   // set prediction parameters
diff --git a/perception/object_merger/include/object_merger/node.hpp b/perception/object_merger/include/object_merger/node.hpp
index 7fb9bae7d9986..2f5918a9c7f17 100644
--- a/perception/object_merger/include/object_merger/node.hpp
+++ b/perception/object_merger/include/object_merger/node.hpp
@@ -17,10 +17,10 @@
 
 #include "object_merger/data_association/data_association.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 
@@ -84,10 +84,10 @@ class ObjectAssociationMergerNode : public rclcpp::Node
   } overlapped_judge_param_;
 
   // debug publisher
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace object_association
 
diff --git a/perception/object_merger/package.xml b/perception/object_merger/package.xml
index 82a6399c09ba7..0340a477936b8 100644
--- a/perception/object_merger/package.xml
+++ b/perception/object_merger/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>mussp</depend>
   <depend>object_recognition_utils</depend>
@@ -21,7 +22,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/object_merger/src/object_association_merger/data_association/data_association.cpp b/perception/object_merger/src/object_association_merger/data_association/data_association.cpp
index 3abecd80178c0..c32fe480ff4af 100644
--- a/perception/object_merger/src/object_association_merger/data_association/data_association.cpp
+++ b/perception/object_merger/src/object_association_merger/data_association/data_association.cpp
@@ -14,10 +14,10 @@
 
 #include "object_merger/data_association/data_association.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_merger/data_association/solver/gnn_solver.hpp"
 #include "object_merger/utils/utils.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <algorithm>
 #include <list>
@@ -31,8 +31,8 @@ double getFormedYawAngle(
   const geometry_msgs::msg::Quaternion & quat0, const geometry_msgs::msg::Quaternion & quat1,
   const bool distinguish_front_or_back = true)
 {
-  const double yaw0 = tier4_autoware_utils::normalizeRadian(tf2::getYaw(quat0));
-  const double yaw1 = tier4_autoware_utils::normalizeRadian(tf2::getYaw(quat1));
+  const double yaw0 = autoware::universe_utils::normalizeRadian(tf2::getYaw(quat0));
+  const double yaw1 = autoware::universe_utils::normalizeRadian(tf2::getYaw(quat1));
   const double angle_range = distinguish_front_or_back ? M_PI : M_PI_2;
   const double angle_step = distinguish_front_or_back ? 2.0 * M_PI : M_PI;
   // Fixed yaw0 to be in the range of +-90 or 180 degrees of yaw1
@@ -133,7 +133,7 @@ Eigen::MatrixXd DataAssociation::calcScoreMatrix(
       double score = 0.0;
       if (can_assign_matrix_(object1_label, object0_label)) {
         const double max_dist = max_dist_matrix_(object1_label, object0_label);
-        const double dist = tier4_autoware_utils::calcDistance2d(
+        const double dist = autoware::universe_utils::calcDistance2d(
           object0.kinematics.pose_with_covariance.pose.position,
           object1.kinematics.pose_with_covariance.pose.position);
 
diff --git a/perception/object_merger/src/object_association_merger/node.cpp b/perception/object_merger/src/object_association_merger/node.cpp
index a4a74f5c763fb..5077268731955 100644
--- a/perception/object_merger/src/object_association_merger/node.cpp
+++ b/perception/object_merger/src/object_association_merger/node.cpp
@@ -14,9 +14,9 @@
 
 #include "object_merger/node.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_merger/utils/utils.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <boost/optional.hpp>
 
@@ -43,7 +43,7 @@ bool isUnknownObjectOverlapped(
   const double distance_threshold = distance_threshold_map.at(
     object_recognition_utils::getHighestProbLabel(known_object.classification));
   const double sq_distance_threshold = std::pow(distance_threshold, 2.0);
-  const double sq_distance = tier4_autoware_utils::calcSquaredDistance2d(
+  const double sq_distance = autoware::universe_utils::calcSquaredDistance2d(
     unknown_object.kinematics.pose_with_covariance.pose,
     known_object.kinematics.pose_with_covariance.pose);
   if (sq_distance_threshold < sq_distance) return false;
@@ -121,11 +121,13 @@ ObjectAssociationMergerNode::ObjectAssociationMergerNode(const rclcpp::NodeOptio
 
   // Debug publisher
   processing_time_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "object_association_merger");
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+    std::make_unique<autoware::universe_utils::DebugPublisher>(this, "object_association_merger");
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void ObjectAssociationMergerNode::objectsCallback(
diff --git a/perception/object_velocity_splitter/package.xml b/perception/object_velocity_splitter/package.xml
index a0ffe5e802801..32fd5b2ff6337 100644
--- a/perception/object_velocity_splitter/package.xml
+++ b/perception/object_velocity_splitter/package.xml
@@ -13,10 +13,10 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <build_depend>autoware_cmake</build_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/object_velocity_splitter/src/object_velocity_splitter_node/object_velocity_splitter_node.cpp b/perception/object_velocity_splitter/src/object_velocity_splitter_node/object_velocity_splitter_node.cpp
index 2e496d7ee2ed6..e15871d18840f 100644
--- a/perception/object_velocity_splitter/src/object_velocity_splitter_node/object_velocity_splitter_node.cpp
+++ b/perception/object_velocity_splitter/src/object_velocity_splitter_node/object_velocity_splitter_node.cpp
@@ -14,7 +14,7 @@
 
 #include "object_velocity_splitter/object_velocity_splitter_node.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <memory>
 #include <string>
@@ -74,7 +74,7 @@ void ObjectVelocitySplitterNode::onObjects(const DetectedObjects::ConstSharedPtr
 
   for (const auto & object : objects_data_->objects) {
     if (
-      std::abs(tier4_autoware_utils::calcNorm(
+      std::abs(autoware::universe_utils::calcNorm(
         object.kinematics.twist_with_covariance.twist.linear)) < node_param_.velocity_threshold) {
       low_speed_objects.objects.emplace_back(object);
     } else {
diff --git a/perception/occupancy_grid_map_outlier_filter/include/occupancy_grid_map_outlier_filter/occupancy_grid_map_outlier_filter_nodelet.hpp b/perception/occupancy_grid_map_outlier_filter/include/occupancy_grid_map_outlier_filter/occupancy_grid_map_outlier_filter_nodelet.hpp
index 0faa40255a1ca..ae6d7a34fca2a 100644
--- a/perception/occupancy_grid_map_outlier_filter/include/occupancy_grid_map_outlier_filter/occupancy_grid_map_outlier_filter_nodelet.hpp
+++ b/perception/occupancy_grid_map_outlier_filter/include/occupancy_grid_map_outlier_filter/occupancy_grid_map_outlier_filter_nodelet.hpp
@@ -17,9 +17,9 @@
 
 #include "pointcloud_preprocessor/filter.hpp"
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <pcl/common/impl/common.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 #include <nav_msgs/msg/occupancy_grid.hpp>
@@ -120,9 +120,9 @@ class OccupancyGridMapOutlierFilterComponent : public rclcpp::Node
 
   // Debugger
   std::shared_ptr<Debugger> debugger_ptr_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // ROS Parameters
   std::string map_frame_;
diff --git a/perception/occupancy_grid_map_outlier_filter/package.xml b/perception/occupancy_grid_map_outlier_filter/package.xml
index dafd73f38faef..0e920549eb728 100644
--- a/perception/occupancy_grid_map_outlier_filter/package.xml
+++ b/perception/occupancy_grid_map_outlier_filter/package.xml
@@ -17,6 +17,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>image_transport</depend>
@@ -37,7 +38,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_pcl_extensions</depend>
 
diff --git a/perception/occupancy_grid_map_outlier_filter/src/occupancy_grid_map_outlier_filter_nodelet.cpp b/perception/occupancy_grid_map_outlier_filter/src/occupancy_grid_map_outlier_filter_nodelet.cpp
index bbd138030d76f..f62a3f7e689fc 100644
--- a/perception/occupancy_grid_map_outlier_filter/src/occupancy_grid_map_outlier_filter_nodelet.cpp
+++ b/perception/occupancy_grid_map_outlier_filter/src/occupancy_grid_map_outlier_filter_nodelet.cpp
@@ -14,10 +14,10 @@
 
 #include "occupancy_grid_map_outlier_filter/occupancy_grid_map_outlier_filter_nodelet.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <boost/optional.hpp>
 
@@ -73,7 +73,7 @@ geometry_msgs::msg::PoseStamped getPoseStamped(
     RCLCPP_WARN_THROTTLE(
       rclcpp::get_logger("occupancy_grid_map_outlier_filter"), clock, 5000, "%s", ex.what());
   }
-  return tier4_autoware_utils::transform2pose(tf_stamped);
+  return autoware::universe_utils::transform2pose(tf_stamped);
 }
 
 boost::optional<char> getCost(
@@ -225,8 +225,8 @@ OccupancyGridMapOutlierFilterComponent::OccupancyGridMapOutlierFilterComponent(
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "occupancy_grid_map_outlier_filter");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/fusion/synchronized_grid_map_fusion_node.hpp b/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/fusion/synchronized_grid_map_fusion_node.hpp
index 19311559a3e7d..84ca13c8b1881 100644
--- a/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/fusion/synchronized_grid_map_fusion_node.hpp
+++ b/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/fusion/synchronized_grid_map_fusion_node.hpp
@@ -20,10 +20,10 @@
 #include "probabilistic_occupancy_grid_map/updater/occupancy_grid_map_log_odds_bayes_filter_updater.hpp"
 #include "probabilistic_occupancy_grid_map/updater/occupancy_grid_map_updater_interface.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <builtin_interfaces/msg/time.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <nav_msgs/msg/occupancy_grid.hpp>
 #include <sensor_msgs/msg/laser_scan.hpp>
@@ -85,8 +85,8 @@ class GridMapFusionNode : public rclcpp::Node
   rclcpp::Publisher<nav_msgs::msg::OccupancyGrid>::SharedPtr fused_map_pub_;
   rclcpp::Publisher<nav_msgs::msg::OccupancyGrid>::SharedPtr single_frame_pub_;
   std::vector<rclcpp::Subscription<nav_msgs::msg::OccupancyGrid>::SharedPtr> grid_map_subs_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{};
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{};
 
   // Topics manager
   std::size_t num_input_topics_{1};
diff --git a/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.hpp b/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.hpp
index 93486e0ca56af..1d119102dc28d 100644
--- a/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.hpp
+++ b/perception/probabilistic_occupancy_grid_map/include/probabilistic_occupancy_grid_map/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.hpp
@@ -19,11 +19,11 @@
 #include "probabilistic_occupancy_grid_map/updater/occupancy_grid_map_binary_bayes_filter_updater.hpp"
 #include "probabilistic_occupancy_grid_map/updater/occupancy_grid_map_updater_interface.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <builtin_interfaces/msg/time.hpp>
 #include <laser_geometry/laser_geometry.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <sensor_msgs/msg/laser_scan.hpp>
 #include <sensor_msgs/point_cloud2_iterator.hpp>
@@ -68,8 +68,8 @@ class PointcloudBasedOccupancyGridMapNode : public rclcpp::Node
   rclcpp::Publisher<OccupancyGrid>::SharedPtr occupancy_grid_map_pub_;
   message_filters::Subscriber<PointCloud2> obstacle_pointcloud_sub_;
   message_filters::Subscriber<PointCloud2> raw_pointcloud_sub_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{};
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{};
 
   std::shared_ptr<Buffer> tf2_{std::make_shared<Buffer>(get_clock())};
   std::shared_ptr<TransformListener> tf2_listener_{std::make_shared<TransformListener>(*tf2_)};
diff --git a/perception/probabilistic_occupancy_grid_map/launch/pointcloud_based_occupancy_grid_map.launch.py b/perception/probabilistic_occupancy_grid_map/launch/pointcloud_based_occupancy_grid_map.launch.py
index c58e747f84af2..0e84e4860fdf3 100644
--- a/perception/probabilistic_occupancy_grid_map/launch/pointcloud_based_occupancy_grid_map.launch.py
+++ b/perception/probabilistic_occupancy_grid_map/launch/pointcloud_based_occupancy_grid_map.launch.py
@@ -101,15 +101,19 @@ def launch_setup(context, *args, **kwargs):
             remappings=[
                 (
                     "~/input/obstacle_pointcloud",
-                    LaunchConfiguration("input/obstacle_pointcloud")
-                    if not downsample_input_pointcloud
-                    else "obstacle/downsample/pointcloud",
+                    (
+                        LaunchConfiguration("input/obstacle_pointcloud")
+                        if not downsample_input_pointcloud
+                        else "obstacle/downsample/pointcloud"
+                    ),
                 ),
                 (
                     "~/input/raw_pointcloud",
-                    LaunchConfiguration("input/raw_pointcloud")
-                    if not downsample_input_pointcloud
-                    else "raw/downsample/pointcloud",
+                    (
+                        LaunchConfiguration("input/raw_pointcloud")
+                        if not downsample_input_pointcloud
+                        else "raw/downsample/pointcloud"
+                    ),
                 ),
                 ("~/output/occupancy_grid_map", LaunchConfiguration("output")),
             ],
diff --git a/perception/probabilistic_occupancy_grid_map/package.xml b/perception/probabilistic_occupancy_grid_map/package.xml
index 3efed07535504..d8ae702ef60ca 100644
--- a/perception/probabilistic_occupancy_grid_map/package.xml
+++ b/perception/probabilistic_occupancy_grid_map/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>eigen3_cmake_module</depend>
   <depend>grid_map_costmap_2d</depend>
   <depend>grid_map_msgs</depend>
@@ -31,7 +32,6 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tf2_sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <exec_depend>pointcloud_preprocessor</exec_depend>
diff --git a/perception/probabilistic_occupancy_grid_map/src/fusion/synchronized_grid_map_fusion_node.cpp b/perception/probabilistic_occupancy_grid_map/src/fusion/synchronized_grid_map_fusion_node.cpp
index f191a23eb8e65..fa93db802b0ce 100644
--- a/perception/probabilistic_occupancy_grid_map/src/fusion/synchronized_grid_map_fusion_node.cpp
+++ b/perception/probabilistic_occupancy_grid_map/src/fusion/synchronized_grid_map_fusion_node.cpp
@@ -142,8 +142,8 @@ GridMapFusionNode::GridMapFusionNode(const rclcpp::NodeOptions & node_options)
 
   // debug tools
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ = std::make_unique<DebugPublisher>(this, "synchronized_grid_map_fusion");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_fixed.cpp b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_fixed.cpp
index 2722f2ef98249..d4e177209f99d 100644
--- a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_fixed.cpp
+++ b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_fixed.cpp
@@ -17,9 +17,9 @@
 #include "probabilistic_occupancy_grid_map/cost_value.hpp"
 #include "probabilistic_occupancy_grid_map/utils/utils.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <grid_map_costmap_2d/grid_map_costmap_2d.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <sensor_msgs/point_cloud2_iterator.hpp>
 
@@ -55,9 +55,9 @@ void OccupancyGridMapFixedBlindSpot::updateWithPointCloud(
   const PointCloud2 & raw_pointcloud, const PointCloud2 & obstacle_pointcloud,
   const Pose & robot_pose, const Pose & scan_origin)
 {
-  constexpr double min_angle = tier4_autoware_utils::deg2rad(-180.0);
-  constexpr double max_angle = tier4_autoware_utils::deg2rad(180.0);
-  constexpr double angle_increment = tier4_autoware_utils::deg2rad(0.1);
+  constexpr double min_angle = autoware::universe_utils::deg2rad(-180.0);
+  constexpr double max_angle = autoware::universe_utils::deg2rad(180.0);
+  constexpr double angle_increment = autoware::universe_utils::deg2rad(0.1);
   const size_t angle_bin_size = ((max_angle - min_angle) / angle_increment) + size_t(1 /*margin*/);
 
   // Transform from base_link to map frame
diff --git a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_projective.cpp b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_projective.cpp
index eae66eb90355b..79fc6e8c40b5e 100644
--- a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_projective.cpp
+++ b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/occupancy_grid_map_projective.cpp
@@ -17,10 +17,10 @@
 #include "probabilistic_occupancy_grid_map/cost_value.hpp"
 #include "probabilistic_occupancy_grid_map/utils/utils.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <grid_map_costmap_2d/grid_map_costmap_2d.hpp>
 #include <grid_map_ros/grid_map_ros.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <sensor_msgs/point_cloud2_iterator.hpp>
 
@@ -56,9 +56,9 @@ void OccupancyGridMapProjectiveBlindSpot::updateWithPointCloud(
   const PointCloud2 & raw_pointcloud, const PointCloud2 & obstacle_pointcloud,
   const Pose & robot_pose, const Pose & scan_origin)
 {
-  constexpr double min_angle = tier4_autoware_utils::deg2rad(-180.0);
-  constexpr double max_angle = tier4_autoware_utils::deg2rad(180.0);
-  constexpr double angle_increment = tier4_autoware_utils::deg2rad(0.1);
+  constexpr double min_angle = autoware::universe_utils::deg2rad(-180.0);
+  constexpr double max_angle = autoware::universe_utils::deg2rad(180.0);
+  constexpr double angle_increment = autoware::universe_utils::deg2rad(0.1);
   const size_t angle_bin_size = ((max_angle - min_angle) / angle_increment) + size_t(1 /*margin*/);
 
   // Transform from base_link to map frame
diff --git a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.cpp b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.cpp
index 96afb0f2e852c..d019280aefda0 100644
--- a/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.cpp
+++ b/perception/probabilistic_occupancy_grid_map/src/pointcloud_based_occupancy_grid_map/pointcloud_based_occupancy_grid_map_node.cpp
@@ -19,9 +19,9 @@
 #include "probabilistic_occupancy_grid_map/pointcloud_based_occupancy_grid_map/occupancy_grid_map_projective.hpp"
 #include "probabilistic_occupancy_grid_map/utils/utils.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <nav_msgs/msg/occupancy_grid.hpp>
 
@@ -119,8 +119,8 @@ PointcloudBasedOccupancyGridMapNode::PointcloudBasedOccupancyGridMapNode(
 
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ =
       std::make_unique<DebugPublisher>(this, "pointcloud_based_occupancy_grid_map");
diff --git a/perception/probabilistic_occupancy_grid_map/src/utils/utils.cpp b/perception/probabilistic_occupancy_grid_map/src/utils/utils.cpp
index 8009a503167ea..209207fe10f34 100644
--- a/perception/probabilistic_occupancy_grid_map/src/utils/utils.cpp
+++ b/perception/probabilistic_occupancy_grid_map/src/utils/utils.cpp
@@ -14,7 +14,7 @@
 
 #include "probabilistic_occupancy_grid_map/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <string>
 
@@ -50,7 +50,7 @@ void transformPointcloud(
   const sensor_msgs::msg::PointCloud2 & input, const geometry_msgs::msg::Pose & pose,
   sensor_msgs::msg::PointCloud2 & output)
 {
-  const auto transform = tier4_autoware_utils::pose2transform(pose);
+  const auto transform = autoware::universe_utils::pose2transform(pose);
   Eigen::Matrix4f tf_matrix = tf2::transformToEigen(transform).matrix().cast<float>();
 
   pcl_ros::transformPointCloud(tf_matrix, input, output);
@@ -96,7 +96,7 @@ geometry_msgs::msg::Pose getPose(
   geometry_msgs::msg::TransformStamped tf_stamped;
   tf_stamped = tf2.lookupTransform(
     target_frame, source_header.frame_id, source_header.stamp, rclcpp::Duration::from_seconds(0.5));
-  pose = tier4_autoware_utils::transform2pose(tf_stamped.transform);
+  pose = autoware::universe_utils::transform2pose(tf_stamped.transform);
   return pose;
 }
 
@@ -108,7 +108,7 @@ geometry_msgs::msg::Pose getPose(
   geometry_msgs::msg::TransformStamped tf_stamped;
   tf_stamped =
     tf2.lookupTransform(target_frame, source_frame, stamp, rclcpp::Duration::from_seconds(0.5));
-  pose = tier4_autoware_utils::transform2pose(tf_stamped.transform);
+  pose = autoware::universe_utils::transform2pose(tf_stamped.transform);
   return pose;
 }
 
diff --git a/perception/radar_crossing_objects_noise_filter/package.xml b/perception/radar_crossing_objects_noise_filter/package.xml
index 2cfe2528a8bbd..0db40b24e809c 100644
--- a/perception/radar_crossing_objects_noise_filter/package.xml
+++ b/perception/radar_crossing_objects_noise_filter/package.xml
@@ -15,12 +15,12 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <build_depend>autoware_cmake</build_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/radar_crossing_objects_noise_filter/src/radar_crossing_objects_noise_filter_node/radar_crossing_objects_noise_filter_node.cpp b/perception/radar_crossing_objects_noise_filter/src/radar_crossing_objects_noise_filter_node/radar_crossing_objects_noise_filter_node.cpp
index a3f4d2a6ce9d0..2f5884c04ce37 100644
--- a/perception/radar_crossing_objects_noise_filter/src/radar_crossing_objects_noise_filter_node/radar_crossing_objects_noise_filter_node.cpp
+++ b/perception/radar_crossing_objects_noise_filter/src/radar_crossing_objects_noise_filter_node/radar_crossing_objects_noise_filter_node.cpp
@@ -14,8 +14,8 @@
 
 #include "radar_crossing_objects_noise_filter/radar_crossing_objects_noise_filter_node.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/normalization.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 
 #include <tf2/utils.h>
 
@@ -124,14 +124,14 @@ rcl_interfaces::msg::SetParametersResult RadarCrossingObjectsNoiseFilterNode::on
 
 bool RadarCrossingObjectsNoiseFilterNode::isNoise(const DetectedObject & object)
 {
-  const double velocity =
-    std::abs(tier4_autoware_utils::calcNorm(object.kinematics.twist_with_covariance.twist.linear));
+  const double velocity = std::abs(
+    autoware::universe_utils::calcNorm(object.kinematics.twist_with_covariance.twist.linear));
   const double object_angle = tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation);
   const double object_position_angle = std::atan2(
     object.kinematics.pose_with_covariance.pose.position.y,
     object.kinematics.pose_with_covariance.pose.position.x);
   const double crossing_yaw =
-    tier4_autoware_utils::normalizeRadian(object_angle - object_position_angle);
+    autoware::universe_utils::normalizeRadian(object_angle - object_position_angle);
 
   if (
     velocity > node_param_.velocity_threshold &&
diff --git a/perception/radar_crossing_objects_noise_filter/test/test_radar_crossing_objects_noise_filter/test_radar_crossing_objects_filter_is_noise.cpp b/perception/radar_crossing_objects_noise_filter/test/test_radar_crossing_objects_noise_filter/test_radar_crossing_objects_filter_is_noise.cpp
index a1c432d9f47b3..44ccaae8ee7fc 100644
--- a/perception/radar_crossing_objects_noise_filter/test/test_radar_crossing_objects_noise_filter/test_radar_crossing_objects_filter_is_noise.cpp
+++ b/perception/radar_crossing_objects_noise_filter/test/test_radar_crossing_objects_noise_filter/test_radar_crossing_objects_filter_is_noise.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 #include "radar_crossing_objects_noise_filter/radar_crossing_objects_noise_filter_node.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
 
 #include <geometry_msgs/msg/point32.hpp>
 
@@ -48,9 +48,9 @@ TEST(RadarCrossingObjectsFilter, IsNoise)
 {
   rclcpp::init(0, nullptr);
   {
-    auto velocity = tier4_autoware_utils::createVector3(40.0, 30.0, 0.0);
-    auto position = tier4_autoware_utils::createPoint(1.0, 0.0, 0.0);
-    auto orientation = tier4_autoware_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
+    auto velocity = autoware::universe_utils::createVector3(40.0, 30.0, 0.0);
+    auto position = autoware::universe_utils::createPoint(1.0, 0.0, 0.0);
+    auto orientation = autoware::universe_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
     auto object = get_object(velocity, position, orientation);
     {
       double velocity_threshold = 40.0;
@@ -81,9 +81,9 @@ TEST(RadarCrossingObjectsFilter, IsNoise)
   }
 
   {
-    auto velocity = tier4_autoware_utils::createVector3(40.0, 30.0, 0.0);
-    auto position = tier4_autoware_utils::createPoint(1.0, 2.0, 0.0);
-    auto orientation = tier4_autoware_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
+    auto velocity = autoware::universe_utils::createVector3(40.0, 30.0, 0.0);
+    auto position = autoware::universe_utils::createPoint(1.0, 2.0, 0.0);
+    auto orientation = autoware::universe_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
     auto object = get_object(velocity, position, orientation);
     {
       double velocity_threshold = 40.0;
@@ -112,9 +112,9 @@ TEST(RadarCrossingObjectsFilter, IsNoise)
   }
 
   {
-    auto velocity = tier4_autoware_utils::createVector3(24.0, 18.0, 0.0);
-    auto position = tier4_autoware_utils::createPoint(1.0, 0.0, 0.0);
-    auto orientation = tier4_autoware_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
+    auto velocity = autoware::universe_utils::createVector3(24.0, 18.0, 0.0);
+    auto position = autoware::universe_utils::createPoint(1.0, 0.0, 0.0);
+    auto orientation = autoware::universe_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
     auto object = get_object(velocity, position, orientation);
     {
       double velocity_threshold = 40.0;
@@ -143,9 +143,9 @@ TEST(RadarCrossingObjectsFilter, IsNoise)
   }
 
   {
-    auto velocity = tier4_autoware_utils::createVector3(24.0, 18.0, 0.0);
-    auto position = tier4_autoware_utils::createPoint(1.0, 2.0, 0.0);
-    auto orientation = tier4_autoware_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
+    auto velocity = autoware::universe_utils::createVector3(24.0, 18.0, 0.0);
+    auto position = autoware::universe_utils::createPoint(1.0, 2.0, 0.0);
+    auto orientation = autoware::universe_utils::createQuaternion(1.0, 1.0, 1.0, 0.0);
     auto object = get_object(velocity, position, orientation);
     {
       double velocity_threshold = 40.0;
diff --git a/perception/radar_fusion_to_detected_object/include/radar_fusion_to_detected_object/radar_fusion_to_detected_object.hpp b/perception/radar_fusion_to_detected_object/include/radar_fusion_to_detected_object/radar_fusion_to_detected_object.hpp
index 716d4ee8b05ff..cd7e7de6b2ff4 100644
--- a/perception/radar_fusion_to_detected_object/include/radar_fusion_to_detected_object/radar_fusion_to_detected_object.hpp
+++ b/perception/radar_fusion_to_detected_object/include/radar_fusion_to_detected_object/radar_fusion_to_detected_object.hpp
@@ -15,8 +15,8 @@
 #ifndef RADAR_FUSION_TO_DETECTED_OBJECT__RADAR_FUSION_TO_DETECTED_OBJECT_HPP_
 #define RADAR_FUSION_TO_DETECTED_OBJECT__RADAR_FUSION_TO_DETECTED_OBJECT_HPP_
 
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 #include "rclcpp/logger.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
 #include <Eigen/Geometry>
@@ -32,14 +32,14 @@
 
 namespace radar_fusion_to_detected_object
 {
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::Point2d;
 using autoware_perception_msgs::msg::DetectedObject;
 using autoware_perception_msgs::msg::DetectedObjects;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::PoseWithCovariance;
 using geometry_msgs::msg::Twist;
 using geometry_msgs::msg::TwistWithCovariance;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::Point2d;
 
 class RadarFusionToDetectedObject
 {
diff --git a/perception/radar_fusion_to_detected_object/package.xml b/perception/radar_fusion_to_detected_object/package.xml
index 4fe51b1002b15..aa0711f1cc6ce 100644
--- a/perception/radar_fusion_to_detected_object/package.xml
+++ b/perception/radar_fusion_to_detected_object/package.xml
@@ -16,13 +16,13 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>message_filters</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_common</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/perception/radar_fusion_to_detected_object/src/radar_fusion_to_detected_object.cpp b/perception/radar_fusion_to_detected_object/src/radar_fusion_to_detected_object.cpp
index 6a170386917e7..5a0c1b5412312 100644
--- a/perception/radar_fusion_to_detected_object/src/radar_fusion_to_detected_object.cpp
+++ b/perception/radar_fusion_to_detected_object/src/radar_fusion_to_detected_object.cpp
@@ -15,8 +15,8 @@
 
 #include "radar_fusion_to_detected_object/radar_fusion_to_detected_object.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -29,14 +29,14 @@
 
 namespace radar_fusion_to_detected_object
 {
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::Point2d;
 using autoware_perception_msgs::msg::DetectedObject;
 using autoware_perception_msgs::msg::DetectedObjects;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::PoseWithCovariance;
 using geometry_msgs::msg::Twist;
 using geometry_msgs::msg::TwistWithCovariance;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::Point2d;
 
 void RadarFusionToDetectedObject::setParam(const Param & param)
 {
@@ -136,7 +136,7 @@ RadarFusionToDetectedObject::Output RadarFusionToDetectedObject::update(
 bool RadarFusionToDetectedObject::hasTwistCovariance(
   const TwistWithCovariance & twist_with_covariance)
 {
-  using IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   auto covariance = twist_with_covariance.covariance;
   if (covariance[IDX::X_X] == 0.0 && covariance[IDX::Y_Y] == 0.0 && covariance[IDX::Z_Z] == 0.0) {
     return false;
@@ -151,11 +151,11 @@ bool RadarFusionToDetectedObject::isYawCorrect(
   const DetectedObject & object, const TwistWithCovariance & twist_with_covariance,
   const double & yaw_threshold)
 {
-  const double twist_yaw = tier4_autoware_utils::normalizeRadian(
+  const double twist_yaw = autoware::universe_utils::normalizeRadian(
     std::atan2(twist_with_covariance.twist.linear.y, twist_with_covariance.twist.linear.x));
-  const double object_yaw = tier4_autoware_utils::normalizeRadian(
+  const double object_yaw = autoware::universe_utils::normalizeRadian(
     tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation));
-  const double diff_yaw = tier4_autoware_utils::normalizeRadian(twist_yaw - object_yaw);
+  const double diff_yaw = autoware::universe_utils::normalizeRadian(twist_yaw - object_yaw);
   if (std::abs(diff_yaw) < yaw_threshold) {
     return true;
   } else if (M_PI - yaw_threshold < std::abs(diff_yaw)) {
@@ -174,10 +174,12 @@ RadarFusionToDetectedObject::filterRadarWithinObject(
 {
   std::vector<RadarInput> outputs{};
 
-  tier4_autoware_utils::Point2d object_size{object.shape.dimensions.x, object.shape.dimensions.y};
+  autoware::universe_utils::Point2d object_size{
+    object.shape.dimensions.x, object.shape.dimensions.y};
   LinearRing2d object_box = createObject2dWithMargin(object_size, param_.bounding_box_margin);
-  object_box = tier4_autoware_utils::transformVector(
-    object_box, tier4_autoware_utils::pose2transform(object.kinematics.pose_with_covariance.pose));
+  object_box = autoware::universe_utils::transformVector(
+    object_box,
+    autoware::universe_utils::pose2transform(object.kinematics.pose_with_covariance.pose));
 
   for (const auto & radar : (*radars)) {
     Point2d radar_point{
@@ -212,10 +214,10 @@ TwistWithCovariance RadarFusionToDetectedObject::estimateTwist(
   Eigen::Vector2d vec_min_distance(0.0, 0.0);
   if (param_.velocity_weight_min_distance > 0.0) {
     auto comp_func = [&](const RadarInput & a, const RadarInput & b) {
-      return tier4_autoware_utils::calcSquaredDistance2d(
+      return autoware::universe_utils::calcSquaredDistance2d(
                a.pose_with_covariance.pose.position,
                object.kinematics.pose_with_covariance.pose.position) <
-             tier4_autoware_utils::calcSquaredDistance2d(
+             autoware::universe_utils::calcSquaredDistance2d(
                b.pose_with_covariance.pose.position,
                object.kinematics.pose_with_covariance.pose.position);
     };
diff --git a/perception/radar_object_clustering/README.md b/perception/radar_object_clustering/README.md
index 5133ddbdbb4ad..8f936ce61a1f3 100644
--- a/perception/radar_object_clustering/README.md
+++ b/perception/radar_object_clustering/README.md
@@ -83,13 +83,13 @@ These are used in `isSameObject` function as below.
 bool RadarObjectClusteringNode::isSameObject(
   const DetectedObject & object_1, const DetectedObject & object_2)
 {
-  const double angle_diff = std::abs(tier4_autoware_utils::normalizeRadian(
+  const double angle_diff = std::abs(autoware::universe_utils::normalizeRadian(
     tf2::getYaw(object_1.kinematics.pose_with_covariance.pose.orientation) -
     tf2::getYaw(object_2.kinematics.pose_with_covariance.pose.orientation)));
   const double velocity_diff = std::abs(
     object_1.kinematics.twist_with_covariance.twist.linear.x -
     object_2.kinematics.twist_with_covariance.twist.linear.x);
-  const double distance = tier4_autoware_utils::calcDistance2d(
+  const double distance = autoware::universe_utils::calcDistance2d(
     object_1.kinematics.pose_with_covariance.pose.position,
     object_2.kinematics.pose_with_covariance.pose.position);
 
diff --git a/perception/radar_object_clustering/package.xml b/perception/radar_object_clustering/package.xml
index 44d99032380cf..c7666d2c5701e 100644
--- a/perception/radar_object_clustering/package.xml
+++ b/perception/radar_object_clustering/package.xml
@@ -15,13 +15,13 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>object_recognition_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <build_depend>autoware_cmake</build_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/radar_object_clustering/src/radar_object_clustering_node/radar_object_clustering_node.cpp b/perception/radar_object_clustering/src/radar_object_clustering_node/radar_object_clustering_node.cpp
index a659a1411dbf9..339ab21741d29 100644
--- a/perception/radar_object_clustering/src/radar_object_clustering_node/radar_object_clustering_node.cpp
+++ b/perception/radar_object_clustering/src/radar_object_clustering_node/radar_object_clustering_node.cpp
@@ -14,9 +14,9 @@
 
 #include "radar_object_clustering/radar_object_clustering_node.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
 
 #include <tf2/utils.h>
 
@@ -179,13 +179,13 @@ void RadarObjectClusteringNode::onObjects(const DetectedObjects::ConstSharedPtr
 bool RadarObjectClusteringNode::isSameObject(
   const DetectedObject & object_1, const DetectedObject & object_2)
 {
-  const double angle_diff = std::abs(tier4_autoware_utils::normalizeRadian(
+  const double angle_diff = std::abs(autoware::universe_utils::normalizeRadian(
     tf2::getYaw(object_1.kinematics.pose_with_covariance.pose.orientation) -
     tf2::getYaw(object_2.kinematics.pose_with_covariance.pose.orientation)));
   const double velocity_diff = std::abs(
     object_1.kinematics.twist_with_covariance.twist.linear.x -
     object_2.kinematics.twist_with_covariance.twist.linear.x);
-  const double distance = tier4_autoware_utils::calcDistance2d(
+  const double distance = autoware::universe_utils::calcDistance2d(
     object_1.kinematics.pose_with_covariance.pose.position,
     object_2.kinematics.pose_with_covariance.pose.position);
 
diff --git a/perception/radar_object_tracker/include/radar_object_tracker/utils/radar_object_tracker_utils.hpp b/perception/radar_object_tracker/include/radar_object_tracker/utils/radar_object_tracker_utils.hpp
index aaffea3d5c3ab..e1c33c022e427 100644
--- a/perception/radar_object_tracker/include/radar_object_tracker/utils/radar_object_tracker_utils.hpp
+++ b/perception/radar_object_tracker/include/radar_object_tracker/utils/radar_object_tracker_utils.hpp
@@ -34,9 +34,9 @@
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <autoware_perception_msgs/msg/tracked_object.hpp>
 
diff --git a/perception/radar_object_tracker/package.xml b/perception/radar_object_tracker/package.xml
index 4eb09a1def6a2..c3c4b33946b56 100644
--- a/perception/radar_object_tracker/package.xml
+++ b/perception/radar_object_tracker/package.xml
@@ -15,6 +15,7 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>glog</depend>
   <depend>kalman_filter</depend>
@@ -26,7 +27,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
   <depend>unique_identifier_msgs</depend>
   <depend>yaml-cpp</depend>
diff --git a/perception/radar_object_tracker/src/data_association/data_association.cpp b/perception/radar_object_tracker/src/data_association/data_association.cpp
index bd1860e6b0136..b308f62a24dfa 100644
--- a/perception/radar_object_tracker/src/data_association/data_association.cpp
+++ b/perception/radar_object_tracker/src/data_association/data_association.cpp
@@ -55,8 +55,8 @@ double getFormedYawAngle(
   const geometry_msgs::msg::Quaternion & tracker_quat, const bool distinguish_front_or_back = true)
 {
   const double measurement_yaw =
-    tier4_autoware_utils::normalizeRadian(tf2::getYaw(measurement_quat));
-  const double tracker_yaw = tier4_autoware_utils::normalizeRadian(tf2::getYaw(tracker_quat));
+    autoware::universe_utils::normalizeRadian(tf2::getYaw(measurement_quat));
+  const double tracker_yaw = autoware::universe_utils::normalizeRadian(tf2::getYaw(tracker_quat));
   const double angle_range = distinguish_front_or_back ? M_PI : M_PI_2;
   const double angle_step = distinguish_front_or_back ? 2.0 * M_PI : M_PI;
   // Fixed measurement_yaw to be in the range of +-90 or 180 degrees of X_t(IDX::YAW)
@@ -203,7 +203,7 @@ Eigen::MatrixXd DataAssociation::calcScoreMatrix(
       double score = 0.0;
       if (can_assign_matrix_(tracker_label, measurement_label)) {
         const double max_dist = max_dist_matrix_(tracker_label, measurement_label);
-        const double dist = tier4_autoware_utils::calcDistance2d(
+        const double dist = autoware::universe_utils::calcDistance2d(
           measurement_object.kinematics.pose_with_covariance.pose.position,
           tracked_object.kinematics.pose_with_covariance.pose.position);
 
@@ -221,7 +221,7 @@ Eigen::MatrixXd DataAssociation::calcScoreMatrix(
         if (passed_gate) {
           const double max_area = max_area_matrix_(tracker_label, measurement_label);
           const double min_area = min_area_matrix_(tracker_label, measurement_label);
-          const double area = tier4_autoware_utils::getArea(measurement_object.shape);
+          const double area = autoware::universe_utils::getArea(measurement_object.shape);
           if (area < min_area || max_area < area) {
             passed_gate = false;
           }
diff --git a/perception/radar_object_tracker/src/tracker/model/constant_turn_rate_motion_tracker.cpp b/perception/radar_object_tracker/src/tracker/model/constant_turn_rate_motion_tracker.cpp
index c2088858b76c5..e1603fbfab702 100644
--- a/perception/radar_object_tracker/src/tracker/model/constant_turn_rate_motion_tracker.cpp
+++ b/perception/radar_object_tracker/src/tracker/model/constant_turn_rate_motion_tracker.cpp
@@ -20,8 +20,8 @@
 
 #include "radar_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -209,7 +209,7 @@ void ConstantTurnRateMotionTracker::loadDefaultModelParameters(const std::string
   // limitation
   // (TODO): this may be written in another yaml file based on classify result
   const float max_speed_kmph = config["default"]["limit"]["max_speed"].as<float>();  // [km/h]
-  max_vx_ = tier4_autoware_utils::kmph2mps(max_speed_kmph);                          // [m/s]
+  max_vx_ = autoware::universe_utils::kmph2mps(max_speed_kmph);                      // [m/s]
 }
 
 bool ConstantTurnRateMotionTracker::predict(const rclcpp::Time & time)
@@ -393,7 +393,7 @@ bool ConstantTurnRateMotionTracker::measureWithPose(
 
     Eigen::MatrixXd Y_yaw = Eigen::MatrixXd::Zero(1, 1);
     const auto yaw = [&] {
-      auto obj_yaw = tier4_autoware_utils::normalizeRadian(
+      auto obj_yaw = autoware::universe_utils::normalizeRadian(
         tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation));
       while (M_PI_2 <= yaw_state - obj_yaw) {
         obj_yaw = obj_yaw + M_PI;
@@ -617,7 +617,7 @@ bool ConstantTurnRateMotionTracker::getTrackedObject(
     const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
     const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
     object.shape.footprint =
-      tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+      autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
   }
 
   return true;
diff --git a/perception/radar_object_tracker/src/tracker/model/linear_motion_tracker.cpp b/perception/radar_object_tracker/src/tracker/model/linear_motion_tracker.cpp
index ce9ddef6ea993..1bc548fa7a951 100644
--- a/perception/radar_object_tracker/src/tracker/model/linear_motion_tracker.cpp
+++ b/perception/radar_object_tracker/src/tracker/model/linear_motion_tracker.cpp
@@ -20,8 +20,8 @@
 
 #include "radar_object_tracker/utils/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <bits/stdc++.h>
 #include <tf2/LinearMath/Matrix3x3.h>
@@ -237,8 +237,8 @@ void LinearMotionTracker::loadDefaultModelParameters(const std::string & path)
   // limitation
   // (TODO): this may be written in another yaml file based on classify result
   const float max_speed_kmph = config["default"]["limit"]["max_speed"].as<float>();  // [km/h]
-  max_vx_ = tier4_autoware_utils::kmph2mps(max_speed_kmph);                          // [m/s]
-  max_vy_ = tier4_autoware_utils::kmph2mps(max_speed_kmph);                          // [rad/s]
+  max_vx_ = autoware::universe_utils::kmph2mps(max_speed_kmph);                      // [m/s]
+  max_vy_ = autoware::universe_utils::kmph2mps(max_speed_kmph);                      // [rad/s]
 }
 
 bool LinearMotionTracker::predict(const rclcpp::Time & time)
@@ -682,7 +682,7 @@ bool LinearMotionTracker::getTrackedObject(
     const auto origin_yaw = tf2::getYaw(object_.kinematics.pose_with_covariance.pose.orientation);
     const auto ekf_pose_yaw = tf2::getYaw(pose_with_cov.pose.orientation);
     object.shape.footprint =
-      tier4_autoware_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
+      autoware::universe_utils::rotatePolygon(object.shape.footprint, origin_yaw - ekf_pose_yaw);
   }
 
   return true;
diff --git a/perception/radar_object_tracker/src/utils/radar_object_tracker_utils.cpp b/perception/radar_object_tracker/src/utils/radar_object_tracker_utils.cpp
index 57d7b5a21fa94..ba2500a60beff 100644
--- a/perception/radar_object_tracker/src/utils/radar_object_tracker_utils.cpp
+++ b/perception/radar_object_tracker/src/utils/radar_object_tracker_utils.cpp
@@ -81,10 +81,10 @@ bool checkCloseLaneletCondition(
   double object_motion_yaw = object_yaw;
   bool velocity_is_reverted = object.kinematics.twist_with_covariance.twist.linear.x < 0.0;
   if (velocity_is_reverted) {
-    object_motion_yaw = tier4_autoware_utils::normalizeRadian(object_yaw + M_PI);
+    object_motion_yaw = autoware::universe_utils::normalizeRadian(object_yaw + M_PI);
   }
   const double delta_yaw = object_motion_yaw - lane_yaw;
-  const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+  const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
   const double abs_norm_delta_yaw = std::fabs(normalized_delta_yaw);
 
   if (abs_norm_delta_yaw > max_angle_diff_from_lane) {
@@ -134,14 +134,14 @@ bool hasValidVelocityDirectionToLanelet(
   const double object_vel_y = object.kinematics.twist_with_covariance.twist.linear.y;
   const double object_vel_yaw = std::atan2(object_vel_y, object_vel_x);
   const double object_vel_yaw_global =
-    tier4_autoware_utils::normalizeRadian(object_yaw + object_vel_yaw);
+    autoware::universe_utils::normalizeRadian(object_yaw + object_vel_yaw);
   const double object_vel = std::hypot(object_vel_x, object_vel_y);
 
   for (const auto & lanelet : lanelets) {
     const double lane_yaw = lanelet::utils::getLaneletAngle(
       lanelet, object.kinematics.pose_with_covariance.pose.position);
     const double delta_yaw = object_vel_yaw_global - lane_yaw;
-    const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
+    const double normalized_delta_yaw = autoware::universe_utils::normalizeRadian(delta_yaw);
 
     const double lane_vel = object_vel * std::sin(normalized_delta_yaw);
     if (std::fabs(lane_vel) < max_lateral_velocity) {
diff --git a/perception/radar_tracks_msgs_converter/include/radar_tracks_msgs_converter/radar_tracks_msgs_converter_node.hpp b/perception/radar_tracks_msgs_converter/include/radar_tracks_msgs_converter/radar_tracks_msgs_converter_node.hpp
index 59c9e5e579772..30d02c90b0594 100644
--- a/perception/radar_tracks_msgs_converter/include/radar_tracks_msgs_converter/radar_tracks_msgs_converter_node.hpp
+++ b/perception/radar_tracks_msgs_converter/include/radar_tracks_msgs_converter/radar_tracks_msgs_converter_node.hpp
@@ -15,8 +15,8 @@
 #ifndef RADAR_TRACKS_MSGS_CONVERTER__RADAR_TRACKS_MSGS_CONVERTER_NODE_HPP_
 #define RADAR_TRACKS_MSGS_CONVERTER__RADAR_TRACKS_MSGS_CONVERTER_NODE_HPP_
 
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include "autoware_perception_msgs/msg/detected_objects.hpp"
 #include "autoware_perception_msgs/msg/object_classification.hpp"
@@ -64,7 +64,7 @@ class RadarTracksMsgsConverterNode : public rclcpp::Node
   // Subscriber
   rclcpp::Subscription<RadarTracks>::SharedPtr sub_radar_{};
   rclcpp::Subscription<Odometry>::SharedPtr sub_odometry_{};
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   // Callback
   void onRadarTracks(const RadarTracks::ConstSharedPtr msg);
diff --git a/perception/radar_tracks_msgs_converter/package.xml b/perception/radar_tracks_msgs_converter/package.xml
index f4b8ea496897f..ad0257dbbd726 100644
--- a/perception/radar_tracks_msgs_converter/package.xml
+++ b/perception/radar_tracks_msgs_converter/package.xml
@@ -16,6 +16,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>nav_msgs</depend>
   <depend>radar_msgs</depend>
@@ -24,7 +25,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/perception/radar_tracks_msgs_converter/src/radar_tracks_msgs_converter_node/radar_tracks_msgs_converter_node.cpp b/perception/radar_tracks_msgs_converter/src/radar_tracks_msgs_converter_node/radar_tracks_msgs_converter_node.cpp
index 234f430d6fb81..36f4d3cd3da90 100644
--- a/perception/radar_tracks_msgs_converter/src/radar_tracks_msgs_converter_node/radar_tracks_msgs_converter_node.cpp
+++ b/perception/radar_tracks_msgs_converter/src/radar_tracks_msgs_converter_node/radar_tracks_msgs_converter_node.cpp
@@ -14,9 +14,9 @@
 
 #include "radar_tracks_msgs_converter/radar_tracks_msgs_converter_node.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
 
 #include <tf2/utils.h>
 
@@ -92,7 +92,7 @@ RadarTracksMsgsConverterNode::RadarTracksMsgsConverterNode(const rclcpp::NodeOpt
   sub_odometry_ = create_subscription<Odometry>(
     "~/input/odometry", rclcpp::QoS{1},
     std::bind(&RadarTracksMsgsConverterNode::onTwist, this, _1));
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
 
   // Publisher
   pub_tracked_objects_ = create_publisher<TrackedObjects>("~/output/radar_tracked_objects", 1);
@@ -261,7 +261,7 @@ TrackedObjects RadarTracksMsgsConverterNode::convertRadarTrackToTrackedObjects()
     }
 
     // yaw angle (vehicle heading) is obtained from ground velocity
-    double yaw = tier4_autoware_utils::normalizeRadian(
+    double yaw = autoware::universe_utils::normalizeRadian(
       std::atan2(compensated_velocity.y, compensated_velocity.x));
 
     // kinematics setting
@@ -273,7 +273,7 @@ TrackedObjects RadarTracksMsgsConverterNode::convertRadarTrackToTrackedObjects()
     // velocity of object is defined in the object coordinate
     // heading is obtained from ground velocity
     kinematics.pose_with_covariance.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(yaw);
+      autoware::universe_utils::createQuaternionFromYaw(yaw);
     // longitudinal velocity is the length of the velocity vector
     // lateral velocity is zero, use default value
     kinematics.twist_with_covariance.twist.linear.x = std::sqrt(
@@ -334,8 +334,8 @@ geometry_msgs::msg::Vector3 RadarTracksMsgsConverterNode::compensateVelocityEgoM
 std::array<double, 36> RadarTracksMsgsConverterNode::convertPoseCovarianceMatrix(
   const radar_msgs::msg::RadarTrack & radar_track)
 {
-  using POSE_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
-  using RADAR_IDX = tier4_autoware_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
+  using POSE_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using RADAR_IDX = autoware::universe_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
   std::array<double, 36> pose_covariance{};
   pose_covariance[POSE_IDX::X_X] = radar_track.position_covariance[RADAR_IDX::X_X];
   pose_covariance[POSE_IDX::X_Y] = radar_track.position_covariance[RADAR_IDX::X_Y];
@@ -351,8 +351,8 @@ std::array<double, 36> RadarTracksMsgsConverterNode::convertPoseCovarianceMatrix
 std::array<double, 36> RadarTracksMsgsConverterNode::convertTwistCovarianceMatrix(
   const radar_msgs::msg::RadarTrack & radar_track)
 {
-  using POSE_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
-  using RADAR_IDX = tier4_autoware_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
+  using POSE_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using RADAR_IDX = autoware::universe_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
   std::array<double, 36> twist_covariance{};
   twist_covariance[POSE_IDX::X_X] = radar_track.velocity_covariance[RADAR_IDX::X_X];
   twist_covariance[POSE_IDX::X_Y] = radar_track.velocity_covariance[RADAR_IDX::X_Y];
@@ -368,8 +368,8 @@ std::array<double, 36> RadarTracksMsgsConverterNode::convertTwistCovarianceMatri
 std::array<double, 36> RadarTracksMsgsConverterNode::convertAccelerationCovarianceMatrix(
   const radar_msgs::msg::RadarTrack & radar_track)
 {
-  using POSE_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
-  using RADAR_IDX = tier4_autoware_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
+  using POSE_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using RADAR_IDX = autoware::universe_utils::xyz_upper_covariance_index::XYZ_UPPER_COV_IDX;
   std::array<double, 36> acceleration_covariance{};
   acceleration_covariance[POSE_IDX::X_X] = radar_track.acceleration_covariance[RADAR_IDX::X_X];
   acceleration_covariance[POSE_IDX::X_Y] = radar_track.acceleration_covariance[RADAR_IDX::X_Y];
diff --git a/perception/raindrop_cluster_filter/include/raindrop_cluster_filter/low_intensity_cluster_filter/low_intensity_cluster_filter.hpp b/perception/raindrop_cluster_filter/include/raindrop_cluster_filter/low_intensity_cluster_filter/low_intensity_cluster_filter.hpp
index 86a790e208012..b3ebc4d916947 100644
--- a/perception/raindrop_cluster_filter/include/raindrop_cluster_filter/low_intensity_cluster_filter/low_intensity_cluster_filter.hpp
+++ b/perception/raindrop_cluster_filter/include/raindrop_cluster_filter/low_intensity_cluster_filter/low_intensity_cluster_filter.hpp
@@ -17,9 +17,9 @@
 
 #include "detected_object_validation/utils/utils.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <tier4_perception_msgs/msg/detected_objects_with_feature.hpp>
 
@@ -68,9 +68,9 @@ class LowIntensityClusterFilter : public rclcpp::Node
   utils::FilterTargetLabel filter_target_;
 
   // debugger
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_{
     nullptr};
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_ptr_{nullptr};
 };
 
 }  // namespace low_intensity_cluster_filter
diff --git a/perception/raindrop_cluster_filter/package.xml b/perception/raindrop_cluster_filter/package.xml
index 492b789239d54..bff3f71db6f04 100644
--- a/perception/raindrop_cluster_filter/package.xml
+++ b/perception/raindrop_cluster_filter/package.xml
@@ -12,6 +12,7 @@
 
   <buildtool_depend>ament_cmake</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
+  <depend>autoware_universe_utils</depend>
   <depend>detected_object_validation</depend>
   <depend>lanelet2_extension</depend>
   <depend>message_filters</depend>
@@ -24,7 +25,6 @@
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/raindrop_cluster_filter/raindrop_cluster_filter.md b/perception/raindrop_cluster_filter/raindrop_cluster_filter.md
index 175bbd00a93ea..e92e645f7a3e8 100644
--- a/perception/raindrop_cluster_filter/raindrop_cluster_filter.md
+++ b/perception/raindrop_cluster_filter/raindrop_cluster_filter.md
@@ -26,22 +26,22 @@ Mainly this focuses on filtering out unknown objects with very low intensity poi
 
 ### Core Parameters
 
-| Name                              | Type  | Default Value                                           | Description                                   |
-| --------------------------------- | ----- | ------------------------------------------------------- | --------------------------------------------- |
-| `filter_target_label.UNKNOWN`     | bool  | false                                                   | If true, unknown objects are filtered.        |
-| `filter_target_label.CAR`         | bool  | false                                                   | If true, car objects are filtered.            |
-| `filter_target_label.TRUCK`       | bool  | false                                                   | If true, truck objects are filtered.          |
-| `filter_target_label.BUS`         | bool  | false                                                   | If true, bus objects are filtered.            |
-| `filter_target_label.TRAILER`     | bool  | false                                                   | If true, trailer objects are filtered.        |
-| `filter_target_label.MOTORCYCLE`  | bool  | false                                                   | If true, motorcycle objects are filtered.     |
-| `filter_target_label.BICYCLE`     | bool  | false                                                   | If true, bicycle objects are filtered.        |
-| `filter_target_label.PEDESTRIAN`  | bool  | false                                                   | If true, pedestrian objects are filtered.     |
-| `max_x`                           | float | 60.00                                                   | Maximum of x of the filter effective range    |
-| `min_x`                           | float | -20.00                                                  | Minimum of x of the filter effective range    |
-| `max_y`                           | float | 20.00                                                   | Maximum of y of the filter effective range    |
-| `min_y`                           | float | -20.00                                                  | Minium of y of the filter effective range     |
-| `intensity_threshold`             | float | 1.0                                                     | The threshold of average intensity for filter |
-| `existence_probability_threshold` | float | The existence probability threshold to apply the filter |
+| Name                              | Type  | Default Value | Description                                             |
+| --------------------------------- | ----- | ------------- | ------------------------------------------------------- |
+| `filter_target_label.UNKNOWN`     | bool  | false         | If true, unknown objects are filtered.                  |
+| `filter_target_label.CAR`         | bool  | false         | If true, car objects are filtered.                      |
+| `filter_target_label.TRUCK`       | bool  | false         | If true, truck objects are filtered.                    |
+| `filter_target_label.BUS`         | bool  | false         | If true, bus objects are filtered.                      |
+| `filter_target_label.TRAILER`     | bool  | false         | If true, trailer objects are filtered.                  |
+| `filter_target_label.MOTORCYCLE`  | bool  | false         | If true, motorcycle objects are filtered.               |
+| `filter_target_label.BICYCLE`     | bool  | false         | If true, bicycle objects are filtered.                  |
+| `filter_target_label.PEDESTRIAN`  | bool  | false         | If true, pedestrian objects are filtered.               |
+| `max_x`                           | float | 60.00         | Maximum of x of the filter effective range              |
+| `min_x`                           | float | -20.00        | Minimum of x of the filter effective range              |
+| `max_y`                           | float | 20.00         | Maximum of y of the filter effective range              |
+| `min_y`                           | float | -20.00        | Minium of y of the filter effective range               |
+| `intensity_threshold`             | float | 1.0           | The threshold of average intensity for filter           |
+| `existence_probability_threshold` | float | 0.2           | The existence probability threshold to apply the filter |
 
 ## Assumptions / Known limits
 
diff --git a/perception/raindrop_cluster_filter/src/low_intensity_cluster_filter.cpp b/perception/raindrop_cluster_filter/src/low_intensity_cluster_filter.cpp
index 5c47b61eaa0a3..4772c355ec0b6 100644
--- a/perception/raindrop_cluster_filter/src/low_intensity_cluster_filter.cpp
+++ b/perception/raindrop_cluster_filter/src/low_intensity_cluster_filter.cpp
@@ -14,8 +14,8 @@
 
 #include "raindrop_cluster_filter/low_intensity_cluster_filter/low_intensity_cluster_filter.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <pcl_ros/transforms.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <sensor_msgs/point_cloud2_iterator.hpp>
 
@@ -52,8 +52,8 @@ LowIntensityClusterFilter::LowIntensityClusterFilter(const rclcpp::NodeOptions &
     "output/objects", rclcpp::QoS{1});
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ptr_ =
       std::make_unique<DebugPublisher>(this, "low_intensity_cluster_filter_node");
@@ -85,8 +85,8 @@ void LowIntensityClusterFilter::objectCallback(
   geometry_msgs::msg::Pose max_pose;
   max_pose.position.x = max_x_;
   max_pose.position.y = max_y_;
-  auto min_ranged_transformed = tier4_autoware_utils::transformPose(min_range, transform_stamp);
-  auto max_range_transformed = tier4_autoware_utils::transformPose(max_pose, transform_stamp);
+  auto min_ranged_transformed = autoware::universe_utils::transformPose(min_range, transform_stamp);
+  auto max_range_transformed = autoware::universe_utils::transformPose(max_pose, transform_stamp);
   for (const auto & feature_object : input_msg->feature_objects) {
     const auto & object = feature_object.object;
     const auto & label = object.classification.front().label;
diff --git a/perception/shape_estimation/lib/corrector/utils.cpp b/perception/shape_estimation/lib/corrector/utils.cpp
index af42400dcc065..1332647b0f1f4 100644
--- a/perception/shape_estimation/lib/corrector/utils.cpp
+++ b/perception/shape_estimation/lib/corrector/utils.cpp
@@ -14,7 +14,7 @@
 
 #include "shape_estimation/corrector/utils.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <tf2/LinearMath/Matrix3x3.h>
 #include <tf2/LinearMath/Quaternion.h>
@@ -246,9 +246,9 @@ bool correctWithDefaultValue(
 
   // correct to set long length is x, short length is y
   if (shape.dimensions.x < shape.dimensions.y) {
-    geometry_msgs::msg::Vector3 rpy = tier4_autoware_utils::getRPY(pose.orientation);
+    geometry_msgs::msg::Vector3 rpy = autoware::universe_utils::getRPY(pose.orientation);
     rpy.z = rpy.z + M_PI_2;
-    pose.orientation = tier4_autoware_utils::createQuaternionFromRPY(rpy.x, rpy.y, rpy.z);
+    pose.orientation = autoware::universe_utils::createQuaternionFromRPY(rpy.x, rpy.y, rpy.z);
     double temp = shape.dimensions.x;
     shape.dimensions.x = shape.dimensions.y;
     shape.dimensions.y = temp;
diff --git a/perception/shape_estimation/package.xml b/perception/shape_estimation/package.xml
index e91a399baa076..8eab542036177 100644
--- a/perception/shape_estimation/package.xml
+++ b/perception/shape_estimation/package.xml
@@ -12,6 +12,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>libopencv-dev</depend>
   <depend>libpcl-all-dev</depend>
@@ -21,7 +22,6 @@
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_cmake_gtest</test_depend>
diff --git a/perception/shape_estimation/src/node.cpp b/perception/shape_estimation/src/node.cpp
index c20308ca0b6d1..5719cd97b3ed5 100644
--- a/perception/shape_estimation/src/node.cpp
+++ b/perception/shape_estimation/src/node.cpp
@@ -14,8 +14,8 @@
 
 #include "shape_estimation/shape_estimator.hpp"
 
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <node.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <autoware_perception_msgs/msg/object_classification.hpp>
 
@@ -54,11 +54,13 @@ ShapeEstimationNode::ShapeEstimationNode(const rclcpp::NodeOptions & node_option
     std::make_unique<ShapeEstimator>(use_corrector, use_filter, use_boost_bbox_optimizer);
 
   processing_time_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "shape_estimation");
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+    std::make_unique<autoware::universe_utils::DebugPublisher>(this, "shape_estimation");
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 static autoware_perception_msgs::msg::ObjectClassification::_label_type get_label(
@@ -112,7 +114,7 @@ void ShapeEstimationNode::callback(const DetectedObjectsWithFeature::ConstShared
     if (use_vehicle_reference_yaw_ && is_vehicle) {
       ref_yaw_info = ReferenceYawInfo{
         static_cast<float>(tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation)),
-        tier4_autoware_utils::deg2rad(10)};
+        autoware::universe_utils::deg2rad(10)};
     }
     if (use_vehicle_reference_shape_size_ && is_vehicle) {
       ref_shape_size_info = ReferenceShapeSizeInfo{object.shape, ReferenceShapeSizeInfo::Mode::Min};
diff --git a/perception/shape_estimation/src/node.hpp b/perception/shape_estimation/src/node.hpp
index a3788668ef6ae..807f12e39b025 100644
--- a/perception/shape_estimation/src/node.hpp
+++ b/perception/shape_estimation/src/node.hpp
@@ -17,10 +17,10 @@
 
 #include "shape_estimation/shape_estimator.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/detected_objects.hpp>
 #include <tier4_perception_msgs/msg/detected_objects_with_feature.hpp>
@@ -35,11 +35,11 @@ class ShapeEstimationNode : public rclcpp::Node
   // ros
   rclcpp::Publisher<DetectedObjectsWithFeature>::SharedPtr pub_;
   rclcpp::Subscription<DetectedObjectsWithFeature>::SharedPtr sub_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // debug publisher
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
 
   void callback(const DetectedObjectsWithFeature::ConstSharedPtr input_msg);
 
diff --git a/perception/simple_object_merger/include/simple_object_merger/simple_object_merger_node.hpp b/perception/simple_object_merger/include/simple_object_merger/simple_object_merger_node.hpp
index 223272b64d716..d25eef20cc676 100644
--- a/perception/simple_object_merger/include/simple_object_merger/simple_object_merger_node.hpp
+++ b/perception/simple_object_merger/include/simple_object_merger/simple_object_merger_node.hpp
@@ -15,8 +15,8 @@
 #ifndef SIMPLE_OBJECT_MERGER__SIMPLE_OBJECT_MERGER_NODE_HPP_
 #define SIMPLE_OBJECT_MERGER__SIMPLE_OBJECT_MERGER_NODE_HPP_
 
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include "autoware_perception_msgs/msg/detected_objects.hpp"
 
@@ -47,7 +47,7 @@ class SimpleObjectMergerNode : public rclcpp::Node
   // Subscriber
   rclcpp::Subscription<DetectedObjects>::SharedPtr sub_objects_{};
   std::vector<rclcpp::Subscription<DetectedObjects>::SharedPtr> sub_objects_array{};
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   // Callback
   void onData(const DetectedObjects::ConstSharedPtr msg, size_t array_number);
diff --git a/perception/simple_object_merger/package.xml b/perception/simple_object_merger/package.xml
index 4586efe53f2e7..487155bffd102 100644
--- a/perception/simple_object_merger/package.xml
+++ b/perception/simple_object_merger/package.xml
@@ -13,10 +13,10 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <build_depend>autoware_cmake</build_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/simple_object_merger/src/simple_object_merger_node/simple_object_merger_node.cpp b/perception/simple_object_merger/src/simple_object_merger_node/simple_object_merger_node.cpp
index fabf06595970c..faa531560ba09 100644
--- a/perception/simple_object_merger/src/simple_object_merger_node/simple_object_merger_node.cpp
+++ b/perception/simple_object_merger/src/simple_object_merger_node/simple_object_merger_node.cpp
@@ -98,7 +98,7 @@ SimpleObjectMergerNode::SimpleObjectMergerNode(const rclcpp::NodeOptions & node_
   }
 
   // Subscriber
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
   sub_objects_array.resize(input_topic_size);
   objects_data_.resize(input_topic_size);
 
diff --git a/perception/tensorrt_yolox/include/tensorrt_yolox/tensorrt_yolox_node.hpp b/perception/tensorrt_yolox/include/tensorrt_yolox/tensorrt_yolox_node.hpp
index fc396ae4b3473..6044148a932ae 100644
--- a/perception/tensorrt_yolox/include/tensorrt_yolox/tensorrt_yolox_node.hpp
+++ b/perception/tensorrt_yolox/include/tensorrt_yolox/tensorrt_yolox_node.hpp
@@ -15,12 +15,12 @@
 #ifndef TENSORRT_YOLOX__TENSORRT_YOLOX_NODE_HPP_
 #define TENSORRT_YOLOX__TENSORRT_YOLOX_NODE_HPP_
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <image_transport/image_transport.hpp>
 #include <opencv2/opencv.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <tensorrt_yolox/tensorrt_yolox.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <sensor_msgs/msg/image.hpp>
 #include <std_msgs/msg/header.hpp>
@@ -63,8 +63,8 @@ class TrtYoloXNode : public rclcpp::Node
 
   LabelMap label_map_;
   std::unique_ptr<tensorrt_yolox::TrtYoloX> trt_yolox_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace tensorrt_yolox
diff --git a/perception/tensorrt_yolox/src/tensorrt_yolox.cpp b/perception/tensorrt_yolox/src/tensorrt_yolox.cpp
index ea7857c3768aa..11f68f580acc2 100644
--- a/perception/tensorrt_yolox/src/tensorrt_yolox.cpp
+++ b/perception/tensorrt_yolox/src/tensorrt_yolox.cpp
@@ -956,7 +956,7 @@ void TrtYoloX::generateYoloxProposals(
         objects.push_back(obj);
       }
     }  // class loop
-  }    // point anchor loop
+  }  // point anchor loop
 }
 
 void TrtYoloX::qsortDescentInplace(ObjectArray & face_objects, int left, int right) const
diff --git a/perception/tensorrt_yolox/src/tensorrt_yolox_node.cpp b/perception/tensorrt_yolox/src/tensorrt_yolox_node.cpp
index c1c4c42741cee..4ee18b99e4bc6 100644
--- a/perception/tensorrt_yolox/src/tensorrt_yolox_node.cpp
+++ b/perception/tensorrt_yolox/src/tensorrt_yolox_node.cpp
@@ -31,9 +31,9 @@ TrtYoloXNode::TrtYoloXNode(const rclcpp::NodeOptions & node_options)
 {
   {
     stop_watch_ptr_ =
-      std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+      std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ =
-      std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "tensorrt_yolox");
+      std::make_unique<autoware::universe_utils::DebugPublisher>(this, "tensorrt_yolox");
     stop_watch_ptr_->tic("cyclic_time");
     stop_watch_ptr_->tic("processing_time");
   }
diff --git a/perception/tracking_object_merger/include/tracking_object_merger/decorative_tracker_merger.hpp b/perception/tracking_object_merger/include/tracking_object_merger/decorative_tracker_merger.hpp
index 7fe4d3a06decc..3683ba02b38cd 100644
--- a/perception/tracking_object_merger/include/tracking_object_merger/decorative_tracker_merger.hpp
+++ b/perception/tracking_object_merger/include/tracking_object_merger/decorative_tracker_merger.hpp
@@ -19,10 +19,10 @@
 #include "tracking_object_merger/utils/tracker_state.hpp"
 #include "tracking_object_merger/utils/utils.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/tracked_objects.hpp>
 #include <std_msgs/msg/header.hpp>
@@ -86,8 +86,8 @@ class DecorativeTrackerMergerNode : public rclcpp::Node
   // debug object publisher
   rclcpp::Publisher<autoware_perception_msgs::msg::TrackedObjects>::SharedPtr debug_object_pub_;
   bool publish_interpolated_sub_objects_;
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> processing_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> processing_time_publisher_;
 
   /* handle objects */
   std::unordered_map<MEASUREMENT_STATE, std::function<void(TrackedObject &, const TrackedObject &)>>
@@ -106,7 +106,7 @@ class DecorativeTrackerMergerNode : public rclcpp::Node
   // tracker default settings
   TrackerStateParameter tracker_state_parameter_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // merge policy (currently not used)
   struct
diff --git a/perception/tracking_object_merger/include/tracking_object_merger/utils/utils.hpp b/perception/tracking_object_merger/include/tracking_object_merger/utils/utils.hpp
index be53f69ff74cb..1778e09da5cd9 100644
--- a/perception/tracking_object_merger/include/tracking_object_merger/utils/utils.hpp
+++ b/perception/tracking_object_merger/include/tracking_object_merger/utils/utils.hpp
@@ -17,8 +17,8 @@
 #ifndef TRACKING_OBJECT_MERGER__UTILS__UTILS_HPP_
 #define TRACKING_OBJECT_MERGER__UTILS__UTILS_HPP_
 
-// #include <tier4_autoware_utils/tier4_autoware_utils.hpp>
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+// #include <autoware/universe_utils/autoware_universe_utils.hpp>
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/perception/tracking_object_merger/package.xml b/perception/tracking_object_merger/package.xml
index d5904571cec6e..370f5beb3e3b3 100644
--- a/perception/tracking_object_merger/package.xml
+++ b/perception/tracking_object_merger/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>glog</depend>
   <depend>mussp</depend>
@@ -22,7 +23,6 @@
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/tracking_object_merger/src/data_association/data_association.cpp b/perception/tracking_object_merger/src/data_association/data_association.cpp
index 21bb1b46cb14a..4d10a415df7da 100644
--- a/perception/tracking_object_merger/src/data_association/data_association.cpp
+++ b/perception/tracking_object_merger/src/data_association/data_association.cpp
@@ -14,8 +14,8 @@
 
 #include "tracking_object_merger/data_association/data_association.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "object_recognition_utils/object_recognition_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 #include "tracking_object_merger/data_association/solver/gnn_solver.hpp"
 #include "tracking_object_merger/utils/utils.hpp"
 
@@ -31,8 +31,8 @@ double getFormedYawAngle(
   const geometry_msgs::msg::Quaternion & quat0, const geometry_msgs::msg::Quaternion & quat1,
   const bool distinguish_front_or_back = true)
 {
-  const double yaw0 = tier4_autoware_utils::normalizeRadian(tf2::getYaw(quat0));
-  const double yaw1 = tier4_autoware_utils::normalizeRadian(tf2::getYaw(quat1));
+  const double yaw0 = autoware::universe_utils::normalizeRadian(tf2::getYaw(quat0));
+  const double yaw1 = autoware::universe_utils::normalizeRadian(tf2::getYaw(quat1));
   const double angle_range = distinguish_front_or_back ? M_PI : M_PI_2;
   const double angle_step = distinguish_front_or_back ? 2.0 * M_PI : M_PI;
   // Fixed yaw0 to be in the range of +-90 or 180 degrees of yaw1
@@ -183,7 +183,7 @@ double DataAssociation::calcScoreBetweenObjects(
   double score = 0.0;
   if (can_assign_matrix_(object1_label, object0_label)) {
     const double max_dist = max_dist_matrix_(object1_label, object0_label);
-    const double dist = tier4_autoware_utils::calcDistance2d(
+    const double dist = autoware::universe_utils::calcDistance2d(
       object0.kinematics.pose_with_covariance.pose.position,
       object1.kinematics.pose_with_covariance.pose.position);
 
diff --git a/perception/tracking_object_merger/src/decorative_tracker_merger.cpp b/perception/tracking_object_merger/src/decorative_tracker_merger.cpp
index 30762d4a21231..99dccab3ff72c 100644
--- a/perception/tracking_object_merger/src/decorative_tracker_merger.cpp
+++ b/perception/tracking_object_merger/src/decorative_tracker_merger.cpp
@@ -155,12 +155,14 @@ DecorativeTrackerMergerNode::DecorativeTrackerMergerNode(const rclcpp::NodeOptio
   set3dDataAssociation("radar-radar", data_association_map_);
 
   // debug publisher
-  processing_time_publisher_ =
-    std::make_unique<tier4_autoware_utils::DebugPublisher>(this, "decorative_object_merger_node");
-  stop_watch_ptr_ = std::make_unique<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>>();
+  processing_time_publisher_ = std::make_unique<autoware::universe_utils::DebugPublisher>(
+    this, "decorative_object_merger_node");
+  stop_watch_ptr_ =
+    std::make_unique<autoware::universe_utils::StopWatch<std::chrono::milliseconds>>();
   stop_watch_ptr_->tic("cyclic_time");
   stop_watch_ptr_->tic("processing_time");
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void DecorativeTrackerMergerNode::set3dDataAssociation(
diff --git a/perception/tracking_object_merger/src/utils/utils.cpp b/perception/tracking_object_merger/src/utils/utils.cpp
index 343c9d9711032..e981ef09a21b0 100644
--- a/perception/tracking_object_merger/src/utils/utils.cpp
+++ b/perception/tracking_object_merger/src/utils/utils.cpp
@@ -280,7 +280,7 @@ bool objectsHaveSameMotionDirections(const TrackedObject & main_obj, const Track
   // diff of motion yaw angle
   const auto motion_yaw_diff = std::fabs(main_motion_yaw - sub_motion_yaw);
   const auto normalized_motion_yaw_diff =
-    tier4_autoware_utils::normalizeRadian(motion_yaw_diff);  // -pi ~ pi
+    autoware::universe_utils::normalizeRadian(motion_yaw_diff);  // -pi ~ pi
   // evaluate if motion yaw angle is same
   constexpr double yaw_threshold = M_PI / 4.0;  // 45 deg
   if (std::abs(normalized_motion_yaw_diff) < yaw_threshold) {
@@ -305,7 +305,7 @@ bool objectsYawIsReverted(const TrackedObject & main_obj, const TrackedObject &
   const auto sub_yaw = tf2::getYaw(sub_obj.kinematics.pose_with_covariance.pose.orientation);
   // calc yaw diff
   const auto yaw_diff = std::fabs(main_yaw - sub_yaw);
-  const auto normalized_yaw_diff = tier4_autoware_utils::normalizeRadian(yaw_diff);  // -pi ~ pi
+  const auto normalized_yaw_diff = autoware::universe_utils::normalizeRadian(yaw_diff);  // -pi ~ pi
   // evaluate if yaw is reverted
   constexpr double yaw_threshold = M_PI / 2.0;  // 90 deg
   if (std::abs(normalized_yaw_diff) >= yaw_threshold) {
diff --git a/perception/traffic_light_classifier/src/nodelet.cpp b/perception/traffic_light_classifier/src/nodelet.cpp
index 89ba30a8b71c2..6378a98fdc8cc 100644
--- a/perception/traffic_light_classifier/src/nodelet.cpp
+++ b/perception/traffic_light_classifier/src/nodelet.cpp
@@ -157,6 +157,9 @@ void TrafficLightClassifierNodelet::imageRoiCallback(
 
 bool TrafficLightClassifierNodelet::is_harsh_backlight(const cv::Mat & img) const
 {
+  if (img.empty()) {
+    return false;
+  }
   cv::Mat y_cr_cb;
   cv::cvtColor(img, y_cr_cb, cv::COLOR_RGB2YCrCb);
 
diff --git a/perception/traffic_light_map_based_detector/package.xml b/perception/traffic_light_map_based_detector/package.xml
index de0f62829cf18..e72cac75cd809 100644
--- a/perception/traffic_light_map_based_detector/package.xml
+++ b/perception/traffic_light_map_based_detector/package.xml
@@ -15,6 +15,7 @@
 
   <depend>autoware_map_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>image_geometry</depend>
   <depend>lanelet2_extension</depend>
@@ -25,7 +26,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/perception/traffic_light_map_based_detector/src/node.cpp b/perception/traffic_light_map_based_detector/src/node.cpp
index 465ab5f85d9a7..7750bf642516a 100644
--- a/perception/traffic_light_map_based_detector/src/node.cpp
+++ b/perception/traffic_light_map_based_detector/src/node.cpp
@@ -14,11 +14,11 @@
 
 #include "traffic_light_map_based_detector/node.hpp"
 
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <lanelet2_core/Exceptions.h>
 #include <lanelet2_core/geometry/Point.h>
@@ -512,9 +512,10 @@ void MapBasedDetector::getVisibleTrafficLights(
     double max_angle_range;
     if (pedestrian_tl_id_.find(traffic_light.id()) != pedestrian_tl_id_.end()) {
       max_angle_range =
-        tier4_autoware_utils::deg2rad(config_.pedestrian_traffic_light_max_angle_range);
+        autoware::universe_utils::deg2rad(config_.pedestrian_traffic_light_max_angle_range);
     } else {
-      max_angle_range = tier4_autoware_utils::deg2rad(config_.car_traffic_light_max_angle_range);
+      max_angle_range =
+        autoware::universe_utils::deg2rad(config_.car_traffic_light_max_angle_range);
     }
     // traffic light bottom left
     const auto & tl_bl = traffic_light.front();
@@ -530,7 +531,7 @@ void MapBasedDetector::getVisibleTrafficLights(
       }
 
       // check angle range
-      const double tl_yaw = tier4_autoware_utils::normalizeRadian(
+      const double tl_yaw = autoware::universe_utils::normalizeRadian(
         std::atan2(tl_br.y() - tl_bl.y(), tl_br.x() - tl_bl.x()) + M_PI_2);
 
       // get direction of z axis
@@ -538,7 +539,7 @@ void MapBasedDetector::getVisibleTrafficLights(
       tf2::Matrix3x3 camera_rotation_matrix(tf_map2camera.getRotation());
       camera_z_dir = camera_rotation_matrix * camera_z_dir;
       double camera_yaw = std::atan2(camera_z_dir.y(), camera_z_dir.x());
-      camera_yaw = tier4_autoware_utils::normalizeRadian(camera_yaw);
+      camera_yaw = autoware::universe_utils::normalizeRadian(camera_yaw);
       if (!isInAngleRange(tl_yaw, camera_yaw, max_angle_range)) {
         continue;
       }
diff --git a/perception/traffic_light_occlusion_predictor/include/traffic_light_occlusion_predictor/occlusion_predictor.hpp b/perception/traffic_light_occlusion_predictor/include/traffic_light_occlusion_predictor/occlusion_predictor.hpp
index 7e2825197f3a7..c14a5d56dc5d4 100644
--- a/perception/traffic_light_occlusion_predictor/include/traffic_light_occlusion_predictor/occlusion_predictor.hpp
+++ b/perception/traffic_light_occlusion_predictor/include/traffic_light_occlusion_predictor/occlusion_predictor.hpp
@@ -16,10 +16,10 @@
 #ifndef TRAFFIC_LIGHT_OCCLUSION_PREDICTOR__OCCLUSION_PREDICTOR_HPP_
 #define TRAFFIC_LIGHT_OCCLUSION_PREDICTOR__OCCLUSION_PREDICTOR_HPP_
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/pcl_conversion.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <tf2_eigen/tf2_eigen.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/pcl_conversion.hpp>
 
 #include <sensor_msgs/msg/point_cloud2.hpp>
 #include <tier4_perception_msgs/msg/traffic_light_roi_array.hpp>
diff --git a/perception/traffic_light_occlusion_predictor/package.xml b/perception/traffic_light_occlusion_predictor/package.xml
index 47077ce342621..9a701548092d9 100644
--- a/perception/traffic_light_occlusion_predictor/package.xml
+++ b/perception/traffic_light_occlusion_predictor/package.xml
@@ -13,6 +13,7 @@
   <build_depend>autoware_cmake</build_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>image_geometry</depend>
   <depend>lanelet2_extension</depend>
@@ -24,7 +25,6 @@
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
   <depend>traffic_light_utils</depend>
 
diff --git a/perception/traffic_light_occlusion_predictor/src/nodelet.cpp b/perception/traffic_light_occlusion_predictor/src/nodelet.cpp
index ddd4e52d5248a..1a2eaa6c4d941 100644
--- a/perception/traffic_light_occlusion_predictor/src/nodelet.cpp
+++ b/perception/traffic_light_occlusion_predictor/src/nodelet.cpp
@@ -14,11 +14,11 @@
 
 #include "traffic_light_occlusion_predictor/nodelet.hpp"
 
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <lanelet2_core/Exceptions.h>
 #include <lanelet2_core/geometry/Point.h>
diff --git a/perception/traffic_light_occlusion_predictor/src/occlusion_predictor.cpp b/perception/traffic_light_occlusion_predictor/src/occlusion_predictor.cpp
index 6f96913420bad..6515a515397da 100644
--- a/perception/traffic_light_occlusion_predictor/src/occlusion_predictor.cpp
+++ b/perception/traffic_light_occlusion_predictor/src/occlusion_predictor.cpp
@@ -102,7 +102,7 @@ void CloudOcclusionPredictor::predict(
   pcl::PointCloud<pcl::PointXYZ> cloud_camera;
   // points within roi
   pcl::PointCloud<pcl::PointXYZ> cloud_roi;
-  tier4_autoware_utils::transformPointCloudFromROSMsg(*cloud_msg, cloud_camera, camera2cloud);
+  autoware::universe_utils::transformPointCloudFromROSMsg(*cloud_msg, cloud_camera, camera2cloud);
 
   filterCloud(cloud_camera, roi_tls, roi_brs, cloud_roi);
 
diff --git a/planning/.pages b/planning/.pages
index 5fe671a3629cc..3c868628198a8 100644
--- a/planning/.pages
+++ b/planning/.pages
@@ -1,40 +1,39 @@
 nav:
   - 'Introduction': planning
   - 'Behavior Path Planner':
-    - 'About Behavior Path': planning/autoware_behavior_path_planner
+    - 'About Behavior Path': planning/behavior_path_planner/autoware_behavior_path_planner
     - 'Concept':
-        - 'Planner Manager': planning/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design
-        - 'Scene Module Interface': planning/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design
-        - 'Path Generation': planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_path_generation_design
-        - 'Collision Assessment/Safety Check': planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_safety_check
-        - 'Dynamic Drivable Area': planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_drivable_area_design
-        - 'Turn Signal': planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_turn_signal_design
+        - 'Planner Manager': planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design
+        - 'Scene Module Interface': planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design
+        - 'Path Generation': planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_path_generation_design
+        - 'Collision Assessment/Safety Check': planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_safety_check
+        - 'Dynamic Drivable Area': planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_drivable_area_design
+        - 'Turn Signal': planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_turn_signal_design
     - 'Scene Module':
-        - 'Avoidance by Lane Change': planning/autoware_behavior_path_avoidance_by_lane_change_module
-        - 'Dynamic Obstacle Avoidance': planning/autoware_behavior_path_dynamic_obstacle_avoidance_module
-        - 'Goal Planner': planning/autoware_behavior_path_goal_planner_module
-        - 'Lane Change': planning/autoware_behavior_path_lane_change_module
-        - 'Side Shift': planning/autoware_behavior_path_side_shift_module
-        - 'Start Planner': planning/autoware_behavior_path_start_planner_module
-        - 'Static Obstacle Avoidance': planning/autoware_behavior_path_static_obstacle_avoidance_module
+        - 'Avoidance by Lane Change': planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module
+        - 'Dynamic Obstacle Avoidance': planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module
+        - 'Goal Planner': planning/behavior_path_planner/autoware_behavior_path_goal_planner_module
+        - 'Lane Change': planning/behavior_path_planner/autoware_behavior_path_lane_change_module
+        - 'Side Shift': planning/behavior_path_planner/autoware_behavior_path_side_shift_module
+        - 'Start Planner': planning/behavior_path_planner/autoware_behavior_path_start_planner_module
+        - 'Static Obstacle Avoidance': planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module
   - 'Behavior Velocity Planner':
-    - 'About Behavior Velocity': planning/autoware_behavior_velocity_planner
-    - 'Template for Custom Module': planning/autoware_behavior_velocity_template_module
+    - 'About Behavior Velocity': planning/behavior_velocity_planner/autoware_behavior_velocity_planner
+    - 'Template for Custom Module': planning/behavior_velocity_planner/autoware_behavior_velocity_template_module
     - 'Available Module':
-        - 'Blind Spot': planning/autoware_behavior_velocity_blind_spot_module
-        - 'Crosswalk': planning/autoware_behavior_velocity_crosswalk_module
+        - 'Blind Spot': planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module
+        - 'Crosswalk': planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module
         - 'Detection Area': planning/behavior_velocity_detection_area_module
-        - 'Dynamic Obstacle Stop': planning/behavior_velocity_dynamic_obstacle_stop_module
-        - 'Intersection': planning/autoware_behavior_velocity_intersection_module
-        - 'No Drivable Lane': planning/behavior_velocity_no_drivable_lane_module
-        - 'No Stopping Area': planning/autoware_behavior_velocity_no_stopping_area_module
-        - 'Occlusion Spot': planning/autoware_behavior_velocity_occlusion_spot_module
-        - 'Run Out': planning/autoware_behavior_velocity_run_out_module
-        - 'Speed Bump': planning/behavior_velocity_speed_bump_module
-        - 'Stop Line': planning/autoware_behavior_velocity_stop_line_module
-        - 'Traffic Light': planning/autoware_behavior_velocity_traffic_light_module
-        - 'Virtual Traffic Light': planning/autoware_behavior_velocity_virtual_traffic_light_module
-        - 'Walkway': planning/autoware_behavior_velocity_walkway_module
+        - 'Intersection': planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module
+        - 'No Drivable Lane': planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module
+        - 'No Stopping Area': planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module
+        - 'Occlusion Spot': planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module
+        - 'Run Out': planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module
+        - 'Speed Bump': planning/behavior_velocity_planner/behavior_velocity_speed_bump_module
+        - 'Stop Line': planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module
+        - 'Traffic Light': planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module
+        - 'Virtual Traffic Light': planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module
+        - 'Walkway': planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module
   - 'Parking':
     - 'Freespace Planner':
       - 'About Freespace Planner': planning/autoware_freespace_planner
@@ -64,6 +63,7 @@ nav:
     - 'Motion Velocity Planner':
       - 'About Motion Velocity Planner': planning/motion_velocity_planner/autoware_motion_velocity_planner_node/
       - 'Available Modules':
+        - 'Dynamic Obstacle Stop': planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/
         - 'Out of Lane': planning/motion_velocity_planner/autoware_motion_velocity_planner_out_of_lane_module/
         - 'Obstacle Velocity Limiter': planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/
     - 'Velocity Smoother':
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/avoidance_design.fig.drawio.svg b/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/avoidance_design.fig.drawio.svg
deleted file mode 100644
index d0563e9f2f542..0000000000000
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/avoidance_design.fig.drawio.svg
+++ /dev/null
@@ -1,668 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!-- Do not edit this file with editors other than diagrams.net -->
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-  xmlns="http://www.w3.org/2000/svg"
-  xmlns:xlink="http://www.w3.org/1999/xlink"
-  version="1.1"
-  width="1367px"
-  height="1029px"
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SAJDiX0+fJpL9gJMPFj5yNddvFYID2CXvkoG+Kptr7Q4LLGPgq+yppST6+JkHkFOhd38hVwAfBxcHfIhX4hr7GFh9KrDdDnGQ5+xtrUak97Fk9SqNfv+NuQO+iNomTjfd+s72Um9UNvQLyY5eGSAN7WlanDfSh9vnq2CzM5gZ49AQaveNPakNM177Adz882zguZLu8iwwK0hiZmPiV9lFVmjXkQT4XX3vGcnwhdOVvKR1mieXHSDOW5LYEz1FD+yhMTAaRW3uNz0pCVoLVDet2U7QBk/HwFnOlIE0EsLgzQ7CcWyvekhbpaA/BPdfsqyypbdU5DbZW+siqqVkDD7xtrKSQDuO55ziB3SroGfBzOFWiEysIa8tSZuRR75FNfypZPqcA5tdfOHnj+P4mNVwzclrIvvGzkihqtkYbRDTCrphBtEBdH5kWrkg+9gFzlrXEtUH4FxJp2QXQHjrvB81lh4Al08iY3iV918i619uJAnYWQ8VdZ5326PBaadBI8xL6tNbXRrfKwDzgQlRnojQn9yfuBjnMT44GBNWDg0gf/4WxBK+7SZ4t0hi0zGRWW8xHbij60zb6Jp9Qfn+C7rugGsfe4sfPXiyRzb4KZSamRXXg6B3300OCgDRAtumcLsNne3JdrFRiQcwS4ov6lXusb6IaHnneBR79917icWhdDNPIapxdrHyb2dmptwWrIl3ghM2A9wE7Qhu/MI3WpyfueJdddQHLwsmtoA+Ta+poAYKRBfks60rMGT8SPHpotVAbwLht2DOkL6y6r1CJJ2b8Z3EQ3Ns08Uv861unWVIj66Cs2L0PhyWOeRXU5qXYzyWs1Rd38vNlDVX3y8HqADJc1Wy3tyiRDnOHFDvKYZpxAf1o4zMd9VgEOIkqNHNqJbvuufsJCOcSqwc8qvj88j5zqIbYi4AzwYyG677K6+bEvv9r1GZPMQ/JHrGXGxQHvSRWq76X1dt2l5+vGqBvc8URksQN5fJBWO4LuikrzOAGmgX6Mx32LCZu92ur5lvp6y03XJI16aFELNNm1yPBHquFJXuwAn0EcMqtipI99R4jwxYKxWvCZU8UvGDXJLg7VjzlDiR5yDvggQzaJPnH2q+eHjrJZo3sZOJKbawO88oIfnk+xsezUxEVuyndFQYdADBDQ8tx4tremTsuQN4DnDDD7zlF+x4YzJBpwn6J838sa9MMkPdSCZrWwNYivdp1w+EtdxWCmYY2T75+VLixtiDCCLDUv3H8GHMpvuKuvkr2BN6zfi6ZeVw2+Qr7feBjx0oZ+D44Gt/VCsPjBX0faxxMNTPDumhCII9CyXmHiXerVCcTHewxjX3W/1CdDURqC7u2Rzwz0pUX5XaK5/3ALIzRgT64hlkbAy/GBh6qpwA/o19QAjdaZGKfLVQFadE9Ba9J4wtmwjtulzyf+SrQipVEvdqgOwc/GsS3Bl8kF5OwVTxGWfTWlyE1KE95ZkcUzHu3/PEc0a+ReMuQx9j2X3C14RuDsmoUDB568YmM876l+B6w4qNUFdE6dSCOe1yd8mrlUAGduzVlHJrek59fqftkUwPdf42XIbCgqe/CJqZPt/XzlQW1j3/TBN1n4ftEpeDBi/DIfJtZjLCKXtF+Yo12aZANgmAG4LbuN/WZTy3kCvn3amq798JVzmwWUTW3AQ6rPsZBp2SWnZIos4PZzmeEsPSybSuikNGJTiegC2tEFrbEhZoTyfnD2QpuyvRxzNhrAkVbZ/4yLj1yWvjzsQ0Ue8wYV0+ucqaKk3CBIQv1xDNpiAIwDvTgG0IcD5LYtVxdPrZ4dkTGDzCBtXDJJoyLt+ZRoVONWZpUmRWxEX/Ns52vSA14wcwXts0Cv2hRye54jiifwtDbKOR9+wW6UJEb0U06UhoJ4u9wU6NiYvoG25AfQlYT4nxrgMWcO/jp2Sja8c1vtBPijwsJGkr0YeUYOctINE8ucBuMi4e5ta9TTDjxMkT6Dp2/voGN0Gui7DOvTr/OcO6bBs6AoMX6Mw6MljdzEk2J8ejtR4xKX8zXQx/A8wJB6wNq/yvvyNUboVXj6Dpi84JaKiMHfq2xt4IB88JCv8aRfyx4wTTj+nnJUQu5Wzfe5FEP64EkCcvtLvGskntdaHvN13HPdVJMYC6kZ4AJw8AI8SS5WZ8hDRXYpeKPpZQRtQwsftA3SfNZhX2VJKkzI1TFmh+VCNGpVcDXsRe2UGdQPRVsYZ5t2Q03saMQhG4ntjxBnbTLh3b5HHRfkz+PZ/YxxD++QWHq7tclHYqsJPM6tEuhSdO2tMsZXGNuesYUBObwG37rGPQ9jNm6rDt031tEsgzEiU53lxjJPLAO0AmhTffyGxS13pL+8phb/+O6/fE5y7QrF9K9eG3BE/4wjBnqimcKg4TMVrE/pjMUI8KTn98SGvJ10zbJhooZmFYpILI52qoevOaILj3vtqp4ZCTtfwQNqyPeA9KCxuSvjvp64rxrmQ5yZLotnnT3h+Nd5WNyioGhRn3z1Y4wAuVbLrmp8M27UQx+a4O0MRdvrjo0XPM/XmfX822Dn8XcKeq7KpMCWdHcZz0Rwu8aCj6Q7Q7xGpGjcqKLz/CzaVO2Y5318T5laSVMHquHrdGLgsCPvERtpYII+eLv9OT+W3/MD6r7BHXARr4Pt/bIGjO+Y/2bv6NuJ+8c5xm/qvkyK8M2iTJvgk2+gx0CL+ldG68e6HgGESdOs1nvfWYO+ccC3xRCX5317XOStWpQt+OcQ5VsbvKrH870febHhPFVCcvnLPDDjrl/4pvu9jzt+LbrvPkUDHnRbi5mxYTKaDT1unXVxuGzAy00YqTimJE0MskhEBB4it8vQPeWmAvyqMfirVPSVCd61yIVvqok0jA3ron+zSS8/wPcbZY/yP3TUzzqVc9dNWvSo2xXi5qay6I4bCT7EgVhTFLjsHQfOff6882+T1OQJU74BHQxq5wz4FoUkI6Ka4hPog8e6AyqbtQn8lMzaloQvoCP4sYTwSbsLaKE3kwqVFm1r0Zln7W88+0MMXkuIm/hwudL2D81XefIuvNzehSqZtdlDb8zaKm/kjtkgOPxhAxoAxQFKQG/sSshJ0JsJM0YU0zX4aWcitnQZcIMIABpCJHJ72O21Wpf9cIuRXrMGBdLDXWzmV+qxK9U/zAP0+Jd5gCNwpOyTTj101ZUF7U35o059GQBfI9zkp601DAlrF6lhgNdDuLSGef62qSbs5e1yXd6fp5RpP9HyEfNncP8WeHgYC+OaNHo9z3ekIWZppt2i068MYq9APC686Jz38vXXOYqyj+ySodUjj1OEuqq7ncC33eiED3NefJXVwrjz1MKAPUNI5nUh7wU0qUxTXQfQ5h439Um18bQL3TrWnJTUH0mIOtnJFYdnKQ97e2b2KSezPxzmuVQiONsfLqBJecv/el0vYSb6eQ7ofpnrgLfGwAFTFzjAVgxaKrHlHYMOSoPLCXBrqGxSpyEvONettAnoQt0UWu+AL/3Syxfftei8FuRFO9AsPbYiIz4s13yesxP1AR9APx6WYuepp0pXNujBX8YW4hNUcCKU+4e3ezHAW8jqc90msTfG7aHZHPCTUnnrhdQuZHT0DrmDeQti3VSAOT7ocXQnAuIEbPU8XwDYsitBnxWh2zAD6hVikrQm4B/AgvdyJf4YbyHP/0pH5Y1vA12HD26jltK8xSPvj8acszDGTzDGneLuOrbfjMJ8M1T3vCj0zP2VrYIl5ITvpFa0i61lF/ccsHeIUlQXZRsZzJbvX2Vt027Gv5sza0bQDa+lSUAL5aBloyMJWqsMIov9yV84NxzKLYy9+4XN20IkZjqvCTTt+KmLw3wSnm+VSD34657aQ1/wzzmLFdVuApwAvPdm7vyIsPYy58Kda76lqLUrg4sKGAYHUS5QfaKcp6CTIWYUk+kzaHos4zbqBbsYoIn+wld+ziOMhUk+94t88yERxNjIS0Me8FSZaXczAe9SPu8LAr9cNLEBMWcm7Dimul3sWXzL70sCOpkWYnEjGnHwO8Bp6Miy7/O9856WddG9TcQjDTXebhLVQgXzPPVw/YV/V+DVDGmg/uuaUYlLvRPc3FoEPK/v5KD/pYgwmfO1H7I0AO7x/O+6F/ztvN6W5FZ7kwappZ1cBfQxCQY3psxKtb4rVn/s22GquhGwCK0LTwVVgxwMKq4E3OMaYkmTSzz5UD/zp7yo2OWhewdlXf7Y+wGxBN7xCfojpu3C2Xl1A/5sIfmQpsZQqKnWDDBf9QpzA92xz42KVgZ4e492arMXS8kNOQJuatDbJ27XGcQ4+yqL7XvoG9AZsdGCxxgOUPYx7wwbMHb4RZuOKWjgX+rWUqP2El0/le2zszXWJ8jTj8qsk1KT495rrcI3Hmv0O9BwawYeK6HxCbxsVnWOy2h+3wU6kAHvCh/6r2HgJ9xdAjpT9RHERrQB3+juBcSPMEHP/5VeQac/6/mxBg04ECs/xZb5JPr8Chx/Br6jO+Ywkqm+9Gqr8AgmBrkQ5B4qM7rOczJxwK78cImpzwvcyZzZblhQrlWrB5xxVhjzGmbdP2JjO3ufdmlVXTWmPXhpCx//tLaA0Ab0KsLt8NhT0UuI2yKb4zU57UKyLdHnfG8GPjAtJ3dehwmofjEYH754+bxITbmqDDPb2ugmw8hOLW0wqmnJzFl7vnPjsiiYs2aaU2XzWDX5tfIHJjU/VVRbCjG7MPQvmLw2NsbQP/Y+fMdDivwc/JQIfFsE6ClOQZsYCIGOtqSlHcW5w8OZ03Qxz0PvfNLkLWmBf7M9+B/QCm5qRJxn6sZ79wM8yjHnGDBmDEkgrbL5nl829et1aQwEN8lUdvwjbuKRBWA+v9VRz/v5QJcbZCK7nTjbVUcOOPPNKqxvBVuMKpSLXcCnXUaMOBvuPEic8n4eMYI4CpZ2rNWDKzUJ6jUz5FaxMSs60Fi9NnZUJdTHThqgQxkwi/vkxnzskm54grZRZufTvnu7Ql0++ywNFPpRB1Ra7ea9FHmf29R+eIfzHfwpaDvlxSGJmDXPx8sh9i8BCXlcIrwA37VTgCUFf3M4kgg0T7sL0Rp8r5X6KsSNfv/cA9O+XZXWi9ggw95H52pa26Inc6x1P2GvIOu8G++8iUxsvt3TqZYiq9fEMBvApYaIy3YXDgvAsDtHCmC4HWnA7zuKdCXIrepkUrTLKNfKLFt5EwFvyZTbgB47ReXDfxnQz7uEalAo4G39oxnDmFWBbPaHs8UDqHuwnsDfchrii2SJjZv1VIEvJoxvEo2NqnGtCmnKGT+Vtusl8z5GX91z+ziC1nnCoE0e8zaqj08SsC/1xznmY2q+2FvbvedNBFFeP8U2n3iPjB0nPeh0k/fK3FHI+8Plg7aXT41RNbz/Y29PfCs+9xetTzDmwCnxA6NAez3foCzgK51SAbrWfLkl87pUi880ROCjn53Ui0ZpXJ4SsRSxHhbgiQooZwtxvis6FIK3DxjoDdngw9asTdCWc65B/1zuFL095vRO8/gU98sHxF5YdMsDNfATxMcT+MJTLoYJmy/AJVHOuLrLLnqvemIqDxmKGY7SxCzs1sacFLglBfR/h7Xr5uDlmQD87smZ2uvv/DXPUVU+cJJFLAk5IsTwLplx21jRJj5AmynkrKfqjfHmFAZqSz3Us5bbhVG7neQ9Z+B8wK+mHelTD5jMcl4T8M95G3UEJQbkevNYr8QePlS6vYr2EpVC7aQYOmKTo5qxgcZTSRnonuMtuS9XqnXAwCwN1oP7sOSUd2jDMv8mIF9A14XKxITYeAAsh9gYbBjzfs+ih69ECceGtHIjZrPOi1BqkicVKJH0EJnts4F9p9vYZCtWy3PVrxfY5BfSSMrC9iT7waGmdPZs2QEPvsJnTsTyWDZvi6LFLnhByJnzY50I4pgzJpbvKWg8lX3TPrkGnTP7lG7piky+b4zYSY1Lt8tcDZpzBXFk7xhoF9u14w4ZW9DtqT3PJcdWSd1zmkHOcZ0Wh7MNBH99jJfUb1fIMUselu8CxnY7+cDh4JF9jMFjmCm0jRsLC9qScsPpK9Dc3FYDpXpddUvQHJVBreOddOjOjbMhmTwWrXaoWAZ5tr7m7fjQ2Kf4Ps/7EyNFn/NNogzGe9mAH7wvzdIyz2Uv4/1hmUlbX+Y42a3OTt4nDjFRixssQXsfIE48hoZ0R91R+MM78aNZd0wQvIh6+P6Yt+Hi2d5rOaluGVcdd6jtTrkxFrGQo0Tre9qgUPRRQz0U5p1j5DS5Kuo6eAJdaud3bgI2B/EVeOUCODvPCTNpKKs6XCQH3NqY6rF2E+3SJUtYfaw0ivea4IpiVk31ei8IcMti3IdcwBiFG0Oe0h5fAJcWsZ2fqKfbXMtDaa4dRSMfo9l/qg8uolh5HMbkYuEsMZX/3adcS6p5Lo6nXZaPKZJ9ChqHeQo0DtqRkF3jHnhXKMhheYB4vGPgtx2vs5wNV470BvS/xMI5S/E8Qp6GlT0kmNcRaGa36p4tlbkPD9vGFuRiBvg+ua3qogH7apUICRkK3mrCxj7gZ2jZpUS8L6bZ9+ArtthIWsBPRhA1LmcsOIzzeYpXl3neOtsaixMz+RkjRcr+eHrMY1cNCQo+c555+7Z/JYFXJ60ywnd+cqIdG7nt38puMKmV2Izybdy/3QVDrzFyDYrcLJ2Se9zgE+lqo7wvCymUToOozpt2AX3wWE8ZoV/hM3K3NnC9749FONiJrdHGGCWbiAE8aIHuWrOuslLQ0IrdFlD3J9Dwr8xXgGcceC8HH4EjYs/zcjXkb3UqfNxz7S7KkD3mN4ZcaMTY27xXyORdVGyNNws3+Wfep/OcQHChRQg6W0P/6trcCxNBnr1XIqJs3lcZokih+gDYDJ6VtDBOryJTdgU6teK1IdDx4b9eSxq9K0Od4wYlrFVEhnqXZFE3Yznt2XXOKZm1p6LjO9UuprgbChn6ztZ6PpFwXrPgqGpwW3mtXXguYEsdF6Z73tjuhacXDPH0mPsy4ob7itZaeS3UORnhPr3z9FPVY1NRfVPwzb7372kLDloP8T6Uu5yqRoGWiVty3UyRp+yXSabnReyzSQWQB93ZKPo6ZsH6BurdfOQXmwDLu2eDimgRB+NH4eGg1KiIe+zAeEy7MBmlcBaxrj9EB17drl9VOFgqbG84uM37zQ5QT3svjDHuzDbvboA7JKCmOlKIHxU4+LvGNt7GwhoP7H4+KYpwKeb9QS83ZuKZe6+FqOtiAj9rRiINBlSa+oh7yfGMf51vQJudFGlZBMsB4gE0whDuQrnZ02TaB7lTtd/3HogijCLIPfCbl34nLnFxX552Hj4Dr+fcqkVio+OnB9P+jbYkTBqi9yHxGeNJ1VSnHavzmOKOMNCUWm6hp7/t6aQyxhluc1M+1s3B950n8EouFfkobX6OYVxzq/4oA3wss2iEyN0xyJk0zB0hEGfaHyubXMCvn2M26LyNQRskgLMDSZhvc6q3oh05nupdaS1fQRs95hx8OuVTYcsPCR4o6XXBzfqsxABac+TCT+6FhyRoxDYXOI7bZCy7KK588DUCOM7CMTPdXInlU9nzYk/5ITGgnzMUSuS2wAWJaEny2A9Q0jdnzwdXzfh9uFwq3+RYQxZksoghXsHv3WIjH0EP2fsM+NhaXGOhEuzfbuD/PkoEnkG/2BurJpX5dgVPaW0Nw1YNibb3s5WmS/LAqF16ScrD0sRisaAtYFrA7cqvLSbODvikmPHIS6lCKkyMoovuW/DM4GG2vF/fgbtlwuLrzkfm1lKreQ8aaDe/4pLhbm1XVJqqkY85h7v0eJgK547tGMaDT1QfwctGFxk4BHeQR5YzSj+3Sq2DvI8shoAx+hfQwvEJ22+2DCJGrGFRGkRXNLpXFOLacM5VYHZsAq9pDI890m3Zv9zLzp9omCzmtc8qk3rfLnfA36Oa5/c7doLctPdN5MTmmyU8dCUNX+X92uBeVFT8OHGrWiQMtKnmwBv5BP4Q2Be4itfvDLL+4b+KBtfYUAnw4aGY1Duo/hZ0zLC1TB3zId5Yg04t8i6pegetEIMXcqrD2YE6Xjf20WZs9MGT7fLWn9fnFoAlhrTXi1zXLWD0JNvv++fvaQg6t9FRFfC44kNPQMfGfW2qcO3Ejczipp0g9g+iISGeog40/5XOXqOXT4q2YzW5OGfLYxzKFncjj9NnIxbLFeDgae/VoP3V4rH3APRZhldn8CcqxxnZcEO/g2ZETCAJY+QRhqIYfGCSYUIDREszqhMWeaVd26ldW6pnTtXhhs9zoaKdpJeMSTcOUNdxF9Y2JMWDl48cdCnw+6sU0QfgScI5wkmr/YSxRdEorJroFBtjRsXlgq1oPqMAnpGfgXf7hPIcdC34DlQLNq4AU9yiGzvBjAngzhRs2EofP9aJ0N6PaMLMjxJ8VG7wp8qD+EIyqDp/JJPOQed3wvOvIsQZ82tWaX5J2Eir1tkQYbqUR8B19bjL5ADPvs7nLaruckpMvKGM3Urz+5msbQpag0Mc5Jyskja/id5F4P+H1NTbOCMfSVOPpFta5SR12UY2/TzvpSSZ3J3U9RFTCXxfk9SCejCUxRS1ArW3wlKMtTC2IXusjYZxiG7b6eWW0prtMnZVnjvvY4hjg59BU0SpcZtIC5wb3GyB1HreS52b6xMxtabd5WleI90YZxunl7yw62Sepy7nM1aaoG/rde5jn4NXts5TPqFjPu9FC32rEMuxROhWzWsvwbCWwtyUjBnpalmXnnrNO+DoRrexThYqI2dMo1b1bk01mdIJfClyP5iIHGqRATA2U518jFdaWJcUW6goW/8K/uuqjKUTUwZ8qm7giy+i9Z1ckBVuQUQHkdhTdUgz8Hc2X+c0Br0Yzd4wUsHxWnZ6QTkBra4o8PsumSRogsca/UXEbWQUSHfgIz+qBny8lp0MhmvlIQtyzkhBj87rg1sTD2WDnsD3Ici1e2nJSwGeIxb6HovcVq10doIvIDcs1UKudDXhzRv4G/P73tTcqN/B+x14U8/rv4ucut3WrBYqxOt8InYCpkC2qt359Vr2bKJs3sMEin16O+WtA3U4OtspXlS+vFZWfJVNnXFTWYDbB+GtTfBADw1gYzNZVCGqlcdGzC6pmtfgO84gBkHDcfdzHiccZDrJCxZmtu+YjafWrrj7gXV7Ap2o1eoCeTd2VKszaONuPhdUafDcQb1gAfp+5rG0I/CVzycZKGMvIP5N1BVTO21gbOmMuQI8Z2d+SA45i+q2Muo6Fk7MJ1XnFG33MPa5gLqZgyk6x90F2gAMAIwGjkZDl3fR9/VKbLqaCsAtkZxAj4MGezlVjf4oOuigDnwRjV6JAJ9vEogq4uD+DVR+HW6nfNbVT4DXh/i+vGNPE+p/YnGOLV7EXN2xIBy0+cN/HbbgsSuLrMinx1daUvCp1LeVBZ4odC9qig2IlblMp/D9KbWcQQTc2vfJVIG/iD10l+HgxJ7LMCihHRtNaigH/DPZ9xET6fmRXyl4yRAwJk8aJIpgPRJ2AV2BmWzUIhfLm+qwIZhCSeffiZncN1MCWgBtciu5pYCvSnCHsGE1K+xEo2yHojrtySv3KiNvXhY4+74mNWLPjSGqoI/RNefoyHsSElt7lI3RPqsdwZagBRSYIeUqzQ0uTE9N4GtDvgZNCRwcncqMBGW3JBxQn/vIK/yabu2opnTGUuQ+9s+n/kWkDDS7DUgUcLmj/olZBvBEtcihH9J2uEKM4TLTm/hwCaqQF1hcJsD7AvRPIpvoFWv3KDwMHtjJttObXbHxnPfumqCXBWDiQ0eRXOcQAwpLa9jJQN6U/7zgvRvuPReLTz3v3qGP/IKqD+E7d6mPi4TKQ+qjK2A5UXp9FX19r/xni3B+JfP8SCdpGahNyqL5rPDjvENQGGdjY6Jtkrl2ol0TemGVZHKhhKrhs80CcIfCcdIWwaPmPXPzWYKLP+/BYg2ibN5LYA7pnoHPzfC1DN/uciJnbspznimTBt/P+Jh5dzZBWzY5ZYAHzpS32JbGJSv9eW/VfH5knPPSgLhOBUdE8dhSVFnxvB/TXwJ3r2+k1Q016gZ4hWDQfHJ1dqQYoj2YgPSwTB7eYUfxfBbqIjVxKuMG/p4k8NwGOHazA74R8/6lIHrC5uf8R1uZ87lovMGa2GVLmjR4M+czKHGALqUBnH1Y6j1y86qB/AiPZjHhx9yXBXx8yOe9M1oFoJMO3CSg7eoL+JAC+i0sg2GH02WSUnalXIdJV7uVKY9ELEXSool3NWQgsB3D1zjU+U6Yfd6OJvflJmbgtRCpH9om4eQgAIsKK+rg1aJexMuePFGGm6QFPNBvI+hNvrHkOxWOViEXVeMuWCjXopEH0Ky3WEcIeOyQAnrjCb/u9WALXvPNpE6xMB+c4kLfTbntmpjG16pJTOh7wgRwWLt0iAk8GzgZt31LmQy85RqwA/w1x69pqw9x42655eQwpikNgGN8ZyiFgv4eugJ0El4tvT3LH+vmKXgB8K2ADj0zWMA1FigH/oW+hVhp1Nd5Pp2RNiLKdP1Yv1y3dn4XwsQ7MUxVVqc7f2xxC9HSI49a2k6st5Gaej5LtwJt//Bfnuzz+7yPFeL0lQStQeGOPWhumcmP3AKs03WXdNJlYQz4MUjWvd35FM17McHXHu8M8CKezw8xfgd8P8R2dFd+e0ssnuTzXqEmesz37hiaz9EjHhuXE+jfy7x+CFrVAE8GfXc8xR16ggi3uf1mcQ/vsI072uDrdkK9Cqop7iUB/Qv+hliUqli0zw782tmF0U70L9D38jH3tdsaS8lDYrEOHaDv8vnsKKZrAzQEo8baIjS/ii5KOFJDZWnQBAT8OdbQf68KfFnBB6FC14w1Zwklr/sG+Jjjm0SJXRm+KcLocZ5oEkG0woHkiU2K2MdTEeIgb0FHMN3u5nM34IQ5q5t9v554NsC4u2nFloLa5En2g4aYtyB7ix0HTjMHHQeXKLbMd9ENRWoc78r8vj/qdU9BB81n87vbyKa3uwguoN3dDM96s9V9BXo8EYa5MZxDarQOb15sQqN1ZSmjtHSIG8IBswjptcV7TIpeucnkspzp6z4j3o5F9SPmwccAr8MYAhZR8P6AG8CVZFWmFzNp5DnhgLA+2sZUt9KQ55QruzB4NGvjmL6YZQ8u1yANs+W67KRdBCovATsTEUH5JE5N/NgvukjNKC5aPmOULc3aIZM8Vz4CRhveK2PcFa1pAAadgBM5nySSoXurDCfDPd4qYyxokJvgbUBTL9eykcArswdAlzhQPc7muZ/v50anuInt1Bih3qBHgvFGbd8Q4rZIes4Ef7Er2x+r9uaUfnUTgdkCZ113ImoTKwqpf3FjcEHscMFJo1b7RolytXRpt7iCTjiCouhIennE4ZZ1w2ZewwBf3eaWeSr4eiraMSytOi0n5NIsHgnCiAgEeC7BZ6AFz6JWZJGA9ntJpjNmQ042brQ1IA77aiE75Zf2kKqWc3A8jzWOEYs6Sxq3T8F/xz2+EyMCnqlAu8Q2ncjnue0ccA60WF1m7ja3Bwxc48M4Z8pLFtCDOblfGmmz2fdj4iM79kcx74PPs/ksYf5Y1zNUS45q0uCP5dOOrm3a6ZVsE1N23Ep6GSctT1VHIJcikvBoXnORefp8LdtLVK0uDbfGG/x6xxEDtB8hp7THu7EVIRuFrgX43scZnyPjNd7PZ4GC6ALct91n+F50cpN3NQcOv/FWb1S3vu+ofAW/kJYQq6RXI/y/VYdLLsXlTALJyubtWkz+DfTyWiLV0lAZu2xt0NXy/JhzkJ4/bibfhPgL9515ZKiCOBisfAIMbHxrr4+TFO2NefWcP0Fqgd429Fkapk0MrtW0tpRfTyowbiV1zbSpU9Apl7hlZiwQB/46PHhZocHYt/IO2b0mfeSDvntl8zxS74LPc8ZCkFOcaeDMepdTuaoY0XP7qpkXDNkCttcStA+1B0dk5MZWl5wFsVPpOoZYiypOHrqXJk01AZN8lF7s7DWOseVPiakSypwosarb9r5MduzNxA1OK8+tgQvbiqunGA33HUpupa5u8nMdQtbAN3auI51n7X0ex5zh3Y6yB1deIU7X81muFLRlGgyrymPgo8bzzlM+teQCt8crePHXqlO7zcRfd8HlndNkUYZ8ihE/F+nzKQVdH2f+uGMSxndc5dPbYidATwkOPrx9tCshYd3kTTzSRrW4i1hh1FceSnNe60gtAh4HxcyvTrGH1xVw+F5rFrcSNCAxVdPaDEHcGktQ5ctmax/BX+UOeBgmQaPM/ks27mPd/F1SGGc9GKKTdxZGGvdkA5gBvsU54V5CPdAZMMUEvWVs7KPDPZ6UlJ8V5HM8vYB/A28ncKI8/sHZ5VhR4FkYl8qTtlhddtJG/OFTuOXfwDOOhY5HBV4XOOO+F8yKJy3ntZ+duHRkqu4yGw7YWOrYcgwyvYyyW18xq+74vtQQhwbOhk5mmskuh/xFHQ2jVHbLXKXLhwaIC9GeYhu/Vwh8vLd2wD9ZJdUfG5Ncd/y4AB0UMIZ5Yqm1AH4A/yopvJZ27eBgucUoiiTcTzuSzX+nIaGukbeg2YP57z6454rqx94eR4h6iBFaEIYcrGdNuEzBf+dpFq1ia6yB3xyF+DvEP6Hd8QZefqTgiQSNsOjJnU3RWJj5fE72NefKTFgEeBjfUjrnUX4v2PhoV1BBbpDWWIAvT0RAoF9qFnOIr2Ap40YZCWg4zpx4/hsMwn8btxO7Ajctiil2yuBiYY0Xua0QcATC7M3m5pBjE2dFR2hsxQ72yAOjImrkpyobgEERx6BE4nY9buzcFAw7RVfTEjTqjkMdjMgH7jsqy2whJ+qy0dBmDD7BvTBUs4LVl7xXC+JfADf4bmvWu9QwL3uBHu2qpV1vE2vsKZIIeAw+D24yn41vXFCLPmgj9563S1BSuGbIXcQ+WrDusuYanKMtZTyxk+pdRDP82XZq1mfRIQfidEgblVSt8yhrnP/e0edam2EyNdXvZN6XGZiBsvCK+FJWbZ3Fnt5xv16UFrJVFxnQt0HRfztbwmh05C2+JS1OCJNPW+P5pEIC/rydz+6ui6Z66F5o+3IAb02VB7rJwwvVa5ZnUQY6YeRGbNJ5jg1wV9LP8z+NFA5NtYQYxG76Oe8Fvqh/MYnNBXgwRIxhlwvkxOHRyaFFMuSPebZ6J7D5uVfY1Aaoz5x1qiAmDwC3bKgr56w1d8HoMX8s8gytFNLeThAPxudd9qB7DeedC98SOnoXwDWFR2recvA9M/cOuuTosY8orUR0LnzzqWTJKe6P5h4NhzSsOXhte+dFEnLxPHOYDJhDO7BePnoiXG6xz5/SDOHYrvtykl3KBzMHfQ46z9tYyMMMGE5EHwnVj70itz34THheFLPjtWToozSGupqSK2ARIGc8FdN63IPP2gWKp6Ia930dgtfrIR+vaSg3EBfblD0vaMB3qWiBs8ZI8GElfNmnk5Qbw3+sjdrscJ5KATjqjzTuwfA3US595wPKGyuvmrDJTqyRuoB82PegHSfXzTWpRQc6oOO7pDVJ3Gkue+LmvZ52/tuJtuRUdosFjD9WUOGHBsiNS520R5tP61PZ5k48RUbpo3veOTVomEMZ5nfw5jkGfN6HEWi4OtxTlVd6yPfZPCa6Bf1KIA89IZYQS2aPUX0tgIN2GUKprx+abSNAv5VN/cEt3rEQ8M8aFnsUtXtPGixz1ySo7YS9XcumuiqLLBLTnc8vO4X5+ffTrLzLx9LU0BbuMgbayFY32QK/3JdDFcAzffnAjRVhyq2sCO29eZ3aJQl4P/BSIBoSp6Lxfdaf+bwfIBxi0bEpDrELHhDPXjpeXaCtyWkfjElsLJ+qUOPt/Rl8Ujtxf7wTrxaKPvbbnC0lpEXn9bJQ3kpPa9A9K9zHt8riztYAX+Gpp4RdgNvRbh/OZxoHvadurfrkhCf/VLDzJNPLAjdvTm6MFkWDzg9LhsOB5HzYbW3+mNM7VBrrfccsbBJD0Rw0rz7sO2SlCHkwFhfp1SjJohz0W0666JYb9Svo3GFjR5Kx2zU1BtD+TgpjFaQU1zHSqTg8g15fpoAzbZzVwyPmcXqe9h0XhYgOpEMU3Ne16nPQf5EXcwQYtL7xELdQ3jk+AF+ZEjwnWad0/ttN3JR+PZ85OqsptmNI+8JyCgweT/aqgBwkJf2+5/adWPVraqJzSrkW1HfibmGBL0YQg++FeVyIfjDTQH/kprspJn5TPr5szMhJwE+A5+uLCbjL4zuF6ktl60im55H76gja7xzroU7N+uG/un2AR4xag7SOVSFpssDxK4hNqBePV88W8VS2tcCPgJapbJURiuZzc7uqvZyAv7bKxifVYAu4VKpWjoWhzhg4iVpsTC19Ia0pv+cykrb0QRwFz05lmJx6kV9wfUpBS+49gkSHLeF9+7sGMqsn6mM3t6OP3EaestSNg6+RHtZFFzVzfuCAL+b9DRuDfJ7Fn+d8Hrm8tW4LEfIOOJxDH95ijcgeuea8N05SeMZ8pliQkIRqIRhKGcKvpFvWRZjYe1rndH4+QhtqOaxiErRnuyDzuR/9tsg1GxNNto+5SsgDjzJNYxFd+OrZAd44wJhTjuYz+/UCtIcvTYRT4CrA2EGx+ghujAMubESwAH+AGsBra94ijaf4tAeM2lPoFwtZJEO07MzHWbN7FdYu7/WKZYNLjQhJS/HCdDER+JQGplXQmkiGIpytx5Kp+95zg9LAbnxfMhrKd8bJ7KOOtAdG6vQ96S7n3AYc791j3mJDduwxt5zzkHiii6dUcxtwpuH+EjTF2ANe7Kg5vAvRjqA9a8V0Glv1CVMJnLA8JcIJuc8H3GHE/OVHovkT7i4tERfw6Iok5ptFA+VtzPX3vSKc6fn852uq9U36+ElaeMuCwQefCJqcPxWBtEvEeQE8DPp7JWfcYaMptd7FgG8Qk1nc1LXI+CLleCqsy5pM4D8MEzD6xeBCPfYRWRI8luoSS1DsYGOIWFb7pW9aZUiuhYnvTFwCAvxCLN8sM3km7SWIMykh1wVn464M3RwwZCE6Y4IcsSsuwSM7tWh0Xhr8vp//kthXH0oKONaDLhPG/HcdRGFBZvUkr7z2CprcAC6+zmsIkOs5RdoAP3dQ7dlWgd4kLWFlENmgcb14PoPRVHfKX+6qc95pE9t78O/4sHzgocjNo6k0WpWTtkSTO/M+qcpeTyJsr7HPk81Un0FbNPN6Wj6pWEI+UMEt6D8DM5MDZ6ywoV/j+2VeR8lmrQC4YcWWPEh0hL66PdYCiiogbd6oC20QqIWXq2qiee0CvBX52KEXuxS4LWl13074nfVRztrYTgOnhZjty2AIsI+y0qo/EvDJSQv9assWT5DPFK+Ax2vcoMecHvRCDr6bgA82vX0ocyqcEWfgtalyyPzswJlAP9W7kPS8U3cC5oIJs87Z2SksklZapyWrZdFdBtACRZVVdtxFdUznM0rA9wCzDw+7D7gFemJBG/4uRbQFlWYUE4bByRcwXrf9Ydkz318oO6oF4BMTagO6fWJNtMOGagG334v07GysYcV9vBLZ8P9R9W7bjfJK1/AtsTEZ7cNgEBgbEYQ2oDNAHiFGYGITG3P1fynrcd7vP1ijez3dHXalWXNKVbOi1P68smjZAdbghrcvXVke7HYDuuobNJdHgXtxDti0m98YxwR0Zk1X/Q06E/RXMlDIS5hy2ob/PClyR+rOYbqjtcN/QNsf1IAKHOsrKbu9DK21QF0ISu61vsKa4jm1/Rl4UNnEMlaxf1d957VR951R5cP9PvGIK8j5myNEw3FtH+ysdyLwk1roADjwMR+I6e9x62Dvwjf9MDVsLDJ1w6b/YfrzjmiK2/Vg4xriLaFCZrmzPReD9SCReqa09Q7WvDnFny7Z3UDr47yOW/gZyXc15s+slGvKpekBLyhov4wmCWDTV+vA+nFyx7z75uvfqz4qPa5dVOy2sGY/VxzIkHJ/gL/vVW6HAYN2xf+89NJC4954EhXxu0McsydlLTWaSsEkzd1qzYptX1PUnaL8iR1izto7MnR9Dvr+rz9F4H0+TgiHW5/HudmXnzkoENoDv472m1PIDaZ+AM5JYgHAB8RXQn3kWt+xkFepyQforeNJeLCWkwSP/oThfVbup1PpCWdseeXlWlGNcncqIOZp475bufNYeUl+Uis5Mo48iPmg0YDjLppaSyd87EDh+2nB4NoDTgpLXRmrPNajgkbbN8BDdCrfn4xCzHHQkNZfbc/mVGpOexkoV+eKJkj0xJHhZqnEVMI9CCa8M/CvMg2977xX95T6aW7qjIxPUoijIiIJj9TIdHIpQqxhXXew5mCdEdlGyBEC/eFhQz9BF06xcrtnPeqFO+29LpMfrqdr5SjfnB+Dwn9I0bqFkzA+JBJb6JtGxIIc3VelqqhluZJ/XrOAf0D8xLWu3JNOVsi7+jSqV03Fbz8eDhfTY7WykG9yDvklmryirEAjyzQLNZZjN6WutlJnG7TD/pqxxxP4XEAc70xs9AUcq0r5+4bYnQPYeiNhaNGV2I3wfrIoeb3DB6ybA+Ti4FTMVFA/Pw3kflzVzeRPJchbxo12Bm7k2MarpU8Hz8RccXD7lYnbXYTJF+SwAfLSvbHsOwmre7Mm1xz4R7bbknoIX7WOX1mAfor+81nZXZ6VF+Bh+2cTqEixKSVuVwKXm2XJVrwm9Ukrmls6BA3wFIh5ct17SnfdwVbf7arNXgms+cSCe7wfLJydqBxEz19846h067KAa4UA45AqGwScjaKgOed2MQCXiKbeeGSCPuta0XVV2f1UA9m34xQ2VlLkvST1+R24s2YqVsMptDMV2h2x9y4eu9VwiFcfhwjDB8SNb/oFFKyVqkcP4MYPc0JJQANnojI+j0M78koVc5SvhFT97UERniXvIIYnAVxlIQGGHN1bxaquCqkLaFinsmwNXPGFhx8E8KyJpzdBTc3x9igDUlLErv/17HjAd2Ju3Wy4vQz4lDmXdUH/ZPVo6mXVckJoqr7mDjTMd24RWw43m4bpBjR81QTc9Ma+tN6KhfFLso0/6Y5Hln1wcHEKcFwxkpDQeCV+PgD3uhpWG3xTAussJNb+IeOuxqChsJU807J3U+AMcrjYYiBDNSj3tJshdry8Dbu/2lQCi1DqCjhqbnq4vo2reM6SkJ33Hi+nTRupShl/jlKtBcMX0DlxFnoHoMiASaCjoy2DHJJj0LGZ6U8rIfW9+lAZDhjK/6vVv3mFhX/a2LB/0G6/9VF7t7Xf7znwafWczzXau1lhfDq6DHhHlEXkW/W5zXUIWIYuwFWzX39yqnd8mHQOocDWZFeg/N5SP0xH8qoXzVWovgvI0632NYkwPYVLWozyDjEEqms6t5ps0sFO4XvPlKGnivijHh6rsjSDbwo8dpsCV0mA6ZwbG/hUpC84BNxlCfCs6TsLPl89CJQ65NAEZJLOgiBWOekX33hA5A7eGU/SqmTXFKELXHefrkkF8foNWOGxs2+nkezUar4dhudFb4yZfaXqUUNMFz3ECpUX2v/F/ELddGlCbDVIBqC/CoqkAK7iNzFijY3sGrCo0mqXhkkMf8/0ztq5pXJY3csp9j9kUC2mDhbW8IeI0qVykt3BWkBbzBmL/bUJ1eG1Z14AfwbeV+eOqpmreWWpkTrpI+PdWJddrXRuyRJ9tMFvr91bzbZuurst7bBZCAJtPia3Rsw7NYSbfIV8GshO6skn1r8FdH8C+urlcXeT4vE8Mdv4fodqSO0MkSll841HEyusm5s+/90PK97j3ZwAG7F4rHx1Rs8i2D9ISXz4Rmk+XMxVjL/mB47yjdGNLJIfgH0bGr3qo25wX51XR3v3CByhgmxalTo+ONadxUnZllgQxBcJ3LpYcVm4/gKxwWtY20U8CQyZVezmvkGwpvsuNHmsZfNTIVKBTooIWyr+3I6v58qBRwA/BG31+Uxj05a6yMbaO2nxz8Y6IbVO4hT0dS0mzsd0UV+zrl2Spgx4hZa7xpqtCnBWiUWcvv5BvlHspPkdMGFoaZfyYvs64ziCDrlB7vsCzoabsLdSu72KuLOAi23UuduRXmWtS2TVL0FlJVV6bjcE/juPkgePOw3x4wOr/uEuvIez39ewhuXIjYdndXT4BL9/1VRY5uzkFOaP1k5fvZ+gIfx7/twCA96bXl+/YuZcv0vTkDgkBu3AHktlo/kUtA8Z9B4J2ZVSPhBxueJQBc2IdSogAbsqr8/ydTbapaA5cGgB7smd8bzAVmr8mt8M/wMeWrYUB9zZWsxFklGtj04ywjpGJEhSuPcc25OTrrlzML31w5bnjh6Bm5+LcPOE5wLOtLzOOAhod6KY6hTyacUgN6ztogbt12K7Ypp7BHhWNXYOt9WzocSmQ/cGevMBeGRqXIbCSl1VbJ32/O4xRDQLu4h8GR+1/a9XHF7bVy3xsRXopw1QrJC0yZnvpW1qT7xQrQSR86eVw89TloeBLye1RXaAkd8t1dTEPLx3+yTId2pNLg3tL86RC5oszmn/VNyc2+2BN2xfHJtJyLeN3S4taLRqTe5NuF256GwRKp+4qct79QUxWOMxSQGbTK/PDHqH4hiQf0hYpfERsBJy07YvGGh1V841NU5slQM5XBSlnF91DtLy7KKff4BPAR52S0Xhmv2CawffWpYkNVcM4voMmaCmvH+mzjy2Z2xlu5t9cMnIYP20gSorq/VUqfs6WnLFiVQcjy3nQR1Or7MAG7QCaHPvUPTAySi/iHPq5a6EDOsbz/GYfP3Pc/AUPoALLA5G5qz/ccexWg+OskEzwYoi3+3wz+bR/qrCT8hHc8DF55IOy0eNtP3i83W0uR6dPfA07UmbB2qYNnS3ddnKr60jTX2rBv6dpf0sBecR8DfQW/oLmO6auoQKButtNzPQnYScFawP9MTGH/ysLyKy7sTWr+di7aqe8N0D6cwPbE0/IlLHX08V2j/aEJleV+NjYadfW1qPuMf9w3COHeRW93SWxYl2Fgvef+MVOO+zHrpdYf2z215eCpTYKXvllNkqBuXw1Z/awI/gr8fGhyDt87VZyRcBbiatyXionoGT8dbu0oP1eAA2YQxaDrjpoeZ6bq1lwpHeQ3yGNQgOFloeAcZVrbgATb1/aQdY/4zv5l1GW1gJ8tfHFvJEDDyvYmfcAy5e1e7fPT2nNjbP5+D/1u0c4TX1pJaR6fc7cfk0Wq9mcN013NQ0uRb9NMuv7eW/5zq3g41/vSGYPkh4P6ZfFfQfb3UFP7X1zF4d8KaNHE2fL49y41sNei21PLOHEhI+7dlZRWb/GveWq0Av8pJt8mIeKwZ8KMBfr5hvnSkgzAKMS1gd6ATi7IeEui6sJZKh6XdFkNNwQGl4rziBd+QBr0pW4N0Os5SWrl5Ts6cV6k1R/APeps5qlE8+7q8FvKujM3/8cZth2kEcHYoIFIS12PkZ28qCOOCJjUvCSUxSsiYBDjeb3IH32z9A+6Dh6FT3mpMcfhZrenI5hcicsS/p2oX5+Hk/WhoDHo1p+f7iNv2pn+LCMZ7daClifyZWQuFduyeOf7JySoCjfktbPhqLh9iZfYhN4N7hcgIOUCD1xoD/QpznnOkndWy3sdDT9I4cna1IgUdVYhu+rkXPfGptvueD2nMhjcZlypprwdKFOZdr6rbXtq82+ZnMxCYzHj6fWUj8FukiF4nAfQdJNMlz01lJ8xWUlFuN6szhHTWgciTVL24TFNFlQ9GnJ0f8c3QvbhsB1qF3mwUSdK9+AF+3G4etEuGRxK0N3EhUzuw1GjR4WQG2ekarDpWoIAfNUwVXVKzDRFh34P0Vfc4vnNe57dcyZI9GJE+lPx+8VKwqZg+f0dyu7246QIzGqGuEtdRBe81o6hYQurX43DQRmrBWxxO8S6H1wihwOsE/JPMu3JpjOnaDXMn/aQfLkyJ6AC5y4/u2ZKannT2s09AV7Yq/GrZ3pOjubT97qu8B/5c7HvhPPiqc9+ie6s5Xlr3LxT+jryDm98AhCWiMBB/dyanP+fUvDs+gDf7reRRIXqRGHWOcF6XpNa4gp+MEcGmtnaTKBbriaNKQ24AvyCwd35eDi+9N0Nk4knnt6mezA4wdvLwx5xWhl0HuRq89c2qjaxPKRJi9cEv9etK1VpeB9jFeLZqN3b4eLqaT+iMruVOEuj9Y/1zQAStzMQGeBFxqmlrdr9Vz60JKuhQlOhTxHrQ0s8X48jIFjBoS42Fs/KhF+7y5EDe24FN2WNU5dbwoZ0tSnPePU+DfBIccbnrd4tCqOJrSUZfAG2vAq4vxoQeOJ1M3uWcC4m/8fBg/HcH//L7uguWrGphXDF3eDMQuon8u65l3cE1PAmS8M/8i/fxIhcaFMPVu/bUARIdrbvIeyyLaPOHf1srMYGDoxsepM37ZaWT23KYxdeWLsy10NP2Y2ygDvpVTvgAn3/DoH2j5vV2saA/vJIe0UHDQL8aDnbv7DWFerSJVtkzbGLRiutvW1Vn2h5VAjlWiosSp12QukJTAysP/q/vaLo1uN3XIdw27PGG9dhzhErhSWZTwHIivBcehtOYrZklAeVIywFTgDqPpM85F990E8sKjy5I6C+iz3jqFshBcx5hJlobdS+t1NExSyBWjqa2CZ/R41B2BL9c58IUm1J1k/IcPeAfYskJc1HXpP6ieMGiCC6X7a12aHi9SN87jWffokv+e+bcP4+HeUrljcfhayz4BrlAPaK0o8JKQpDJGH6BJXYI6wrm/y0B3yF6NOO5we+4Oxcp7YryJY60V1w5oqtB48VGkolOEN1QDXveWI7Xx7NhOLfzMV8xX/3n0G1+Jyn4H7pFYyvgJBXuviPbPo8u/QQOmbTRZpg+xdpNr5Uw3uBHCowpy3aeZ6eQw1Lop8o1nlwau8j/PBft9/f9pc9b9eh3V/WaFdZ4pV+agnc6VtdzSs7wQc27hXu4k1t7huf0mrqzaQZle/4XDd6zj1pImj4lfD8CBhUkNWHQ59eioqDSeGa/+lOBotUvhdlGKOmDIXaiiqW5o5fDh0zGxT8+KU9BdjYMlRf6zHeD9FNuCCfwtSqmzUDuK+pBXlp3s9U8O6+Q0JOlxlRQwwPS5vuoc+pb7AeDarh6SmDJ+b2z+VQ+hw8POBj7stno6VKUU1cgzwVDWjHyiYprZYHPMDH6mKxu8XTHkHkXEBb0dZGFSSGcSkBNBcy2v5/IqB3WV+24TSlI1LFq5+HiKkk1uG39ZwHBBQGvM3ynEMe/nUZ7bK7zntxRVG1q2d6o/7wfLe7Qj39NoCUwdSoZMD3L4zDnPJPUvr9jIeAv81VoUsyMxKMktfsBUflFb74tRI4WmjofMY0F+VVF1P43vm3Tt7205dfSMFxHBChfK5yH630yTkSPT18FsNDUgKBS7vPbM9y3HHPIs8EvPrlb0aHWnq/H9yVf9Bhh4yNgGfjbRzTDbqrfX9qwcepZdA0ySgZyj8aeVoXZzeJpZAxPwOAVsOAXeJzd13z9E+DfX7H4K+JepWUktXFKIPTH6cduni6lBFToBLEQZRTghCHSKlayM3ZbWzAIJkmcbLvNJJztl4YqG3g92k+zooJ20klTR3hUxMJWYvfIXasLkyNg8pwGq6bDdk7WToGUgd3w+IV5n/rV1i8HDGdIWHaZRoGRWJf8A/beR+mIpV03p0N0xyzd1wIwvxBnwQTemtuCM1trmL4wK075zTgyPB+NJR5lLXS1qtsVw/5aKzfn88p0Lu2dmZgWaVuAEGxZdHLp2Axm7HxKEgMgYlhcOGm3OtZOsgnyRnomudXI/DS+Pu9udRLAOi9k9BSqD54iVtTf+CEJE0n7ldFht34xpfRq4w0b8XZQ6N2eKRTmRBjCkHXKLGe+JWBZq1CDnOYHvb/q/Hqb+5NVbQaJ0pWcyQMxx46lajdV66mdBo8eVWUuKV5lkkYxOAU4x1bHxj6zM/CELHakz3VNn8o42JJlgv4F7PTKkcsHUpbFwAFhvNM3L3yYtbA33p94gNnxW4iI1NXArDkXPWTsCvp1xDHmgzqL+AbwS8El77eovhf0b10GGUIoRc4GLEBayZxvgETQsr868Yy6pqt57xbwFmagQofdWaD8z/iOy9OOTRoBvNhCshdAzaLoAu000kyyadwXDZ7zuLYJQQIyPBno3vUWgkG1U9eSm7ImCZvhW4TI2DqKA2fGrpqKi7wtwo4sUqXu0zbmFKqnAX9WqizoyXkd+BLmBsBJlckyAG3Xf+fCwD8+55L0+yp6nCnQPDedEPecpjXEqIj4CDwGulEAueNUezKywOAFNdZThZsWoAy0AWiJQO+PPi+mn2/TGl/vTgXXinc7qS8UXF/L9BviH8TR5w2XXc0p+cmByuTPvse1f8bBxzTwWUWyfh7V76eUn66ulHZJj0dt2Fv56rKcSoVtOW6cSROZf/4Dlgn7ge0ex1jvBNyv67gG8fTlpVdP4fSWrMuuQE8FH4JHwrnWchQvkXbbh/zcXxnjpUnGWHmbLBrvpE3Der3sPtWfgcGNu17YvsUVKyDvwIEmHz+EDlEHWrjlovdk+ujJumC2biK1ZPFlpiZ1m4DIfrIcKZ+8Euft11gbPk5oascaejjLyrmpFXe12OIsvwD9wVJUX0AezlzuKVBaZeJ+66cp123tAJbV/sFtQFn7QOB0RQ/dVQD5k9pRQR0VttL0DOXrVYj2L31phvSMjrEVxgRyJA272q52FKTMLI1a7QnNea1NJ5UWs787wN+B5Pj2622rQ+Q9C+YH0/bM5cykCfazZxq2GZWkhyk8lDl64wYP3K4lAvzh4n0PMt9QHXrGxTyGnql+OeJiqk1Aj4LFdU30+xcT0W7nk/Fv7uFZDb+XwM1WkVz7ou7KlDz8TcMx4q3crd+Sr3mZv+EJlQV7W/ZNyvc/HDhWhPRyf80er5XJc9Zfp989X8pELZbcjrFBIUfkA2LGStLHRvfqCNd5PXnGWh7S3o9/+sLNMlPu5Zmx69WS5ael33MWpOU9hz98zZAc0w7FB+M14GteaTNSyvxj1d6Cb4E1uUT4mHUO64jFGOSVacuRxUyNKPzeppVF19h/1iAMV8oT1r3OH21Kt3Tdg+wH3dgaYejedcdjl14JJi9DcaIv5aE0rE7mVCuxVK/fq1RegT/cn4y0ZyayICYdcAdq7oyLon2k5ZRXTyPTm0ej2wvlH7cyAQ/pWCLvmQffGosUv+ORD7D2bUg/8nOzYQFARwX30CQOsugvBd8WIPcDWr8btgfeT79/e+EDmeE1M71soY9lngT8yhF69gcaP9doMlwV4UY3P3RtodRvW2b2B++T9v4epBa/E45HC74GfXUXZO//VqtKC6wLifuSx/8X67XfaJz9FNLP0zN2cV0vhqA8zF+21Z57FzJLh9grL8SbRJ+RawiC/5w0gLOQO42d/OZWTxDbEGGJObe1XxtVOaVjawOXhfce8RDOB6EmdLTkNlydol3Md9RvqbAvloFf9hl1brV2NyQ4EgANrKITU4GWRbdcItKyT7A8Wv9NBfdd6sjiTX4Ilx9QhGx7yjA0ooaYHluNLVl4MHsUVcDIyYAS8j55GtBrP2FdsHFfQFlqmks3GhsA/jRJwobPwSrpUG/025aYGm60VaETuS2ez8FHaqqweKSI3EXd5wbb66LYeFUlBHWnh5zZtYu6kzpxlofXiNndpo75dyU8zYNxw5DcW/6Hn0IGILdX4DvEAWhRJJ7WVa3oKW8qH/Fe/6HN+VtNh1SF30bUNOpc95wPwlg4Lzyp68nGi/huGJ/jvWqBotQMxnctROkWA72mQXkmIHBKz9bBWV9Dpxltggfi4K52umfDeILb2Ek3yxGRWx37cFHOdCg5fQ5cENGDdd1+Qt7LTmZg9pNf+oQOc80EiUFSh6e3uelZ2TxLOb9yyE+OlAblxVtG2S3tlzip3dd8+0sj0VodeNfAIcs3zFHcot/F3dcbhwQLW7GxWFpMCMMXUqrzqiB6Anz/KnXatS6Y62tqMkayJ1Fe72/aGMwjgy9L4MAyfLi/Jw/TEtsP2kLtYmL0KPsLPdCCrD3xOe3nJuCSwNrkqcVRwWRbOnyf8GY+4bF3ATQtweLBl22+frOQ+g9g+6XfA0yQoNN7RQJq6/Ueuu4gD7wV+g06MfzVIXyqKNwV9v+NwKskoHzScrMZCYa6nb+X81Tlo6WwpvH+eCx2SVSN439NJ2AdVEilB5TXWxElpVKu/Pw3zUZT4O0XGH8R4qO9NvQvEp6kfSGYyLEhyJdiA36g72RS4JeTm15mUZiGfQEcDJin4FqEDOe4Ofw78U3fE6RKp8yUT1bP++p33MGA7sdJx+qrXT8OfA2DsSeGgOC22N8LQANpBtGd2Legv5udpv01esVFYUgpUPTIh7dRBkF/0E7SIl1v/wwHQP8Zn+UiAM0thZqopM6dzk0WJBVwqZBZH8J070AEJscnhaP364D7y57zJim3UUP3x0l/GhxG+35Favc1jHbWcbdRZHguKZzVgKkaCud1ZNUQsrN8rF1tSUXLMV1mm+rIS0e1hJebwTXPgHxqwLhIUkyxOPlSxPQre/s0mUGK5E62d2ukOB0tijiaGS5Lm1jRxyFky/vQKW21OnE9mNqUMLxaLfbtyZp8685qLdgP5x89dbr75DZfTejIzmYY5aVfuc9q9OMAqojkCnr0DflIbHnl0Oh/ysv6dg4qSCPL7EfLNBHmPc7O3Jf45xxU0xZCDDus+Wna70oFMB8ezlaUfwPOTdPRlahiN8c53X76pc54bnRHNToOQ12q/qjipVH97cLF8yH6/SV19P0WeS/p5w0bguI6H22H5puKxpGiCDKp8iPuFwHfLqc5oCEwWoTtogyRdYa2w11yYmVXO9CO1/0ZG323FlhVnFQBnvqbPrVuNl83RfocoYfdMYHkqbi62LIsF2iaDmrMgsdi503Swc4kua/u1vQP+eqdwGZTr04zqQAj8x21AL1aAhZ06k3M6LFjE00/j4u5gaUlcIDXIf2Ysf+QDr7K4+4ZY5pWFzVwaafpPpI2rgqlrasku/9oes6ArTig08y7gzxNC3Nd8h9umMZyyt5eD/f6sRz9XcXKXQwLYnVxr4LY0UmeQ8wcc5FcJqrBmsLKftyvw60AW/9xT6NHc6r5bqu7Mmmmx6gzWUQTa4ZBG6aPq//ZtIM5AGw+6UtrUsyRflbNUOfDDRugDaHbUxlMOf9/n5VTQQB2r58wgRlkhpljwzqMORrLHN1bqtBkJfM/ETvvZhzX6Vgn1cXDw64yjr9134Jjy0IC+yYdPSzpdB3kgrITHs9KvQB8VMkzcWkxXwBgueGi1QmMK+hDWnf71WEOf9u95JtrbKQRr6/DO9FoDX7RSq3qtr7vxOQNcnyFWo+LMJ4qIX5XpA/JqL8TlmUafVqvNrr3H4d9+4DjpM+qXlS2D1EaitYivEJbK1QNxlCWpfKvtygY9pvN+CkDHvXphTM2rTaPuJ7eZlfccZ2Hng66CdUEyWIdfDd2DbuJBpZNDE+MFh9YD9Otbs+IzyPU7YHmdMpzkPU6aMF1b2zfzBF1q7oHzDXCI1znsF2DmrkXIanrlpSGpGz7NnKWOQPAeuPKrQZVw76Y3CufD9H06JzEOOm32jH73FCJVQxbYk9LMhZMfIkidjNmgP8nmaBn+/jcXZjV9uNUojd8xJvHkkMjsJ20j7lZPDPwTeEhwdIHXOduxcmxTd/ndrsD7RlkY35xM9GaW1XB0+C92y7NvPOvdE8U/p3FiMu7/PLhYKY0f2y238A50ep+LyYyzB9Altlr5NxkBXxloFgZcThifrkTWYxLUOr8X1jJJofpiuKx1NNc4RFTB2q84+jmV3b3p8aPg+HWtiK78CtxkNb5AWLdXHuq61ZeH6bZjgQ+/Ik+5Sc9GeVOr/5Ny/4BLfOVsIhzycmFtkdIyya0txIz+gXXzhl1ExTCPNII8NPBXrYiTP7cj6NOBuIAxtiogXolyZuCmpKSD1pTNWRraV+Iabxv5ViC1F0OSwsrbwJr8Ss2MP4vdsTMHrViSwpbnalVWys36loV0/mp7Ehm8PwpByorul6LXQe7YX6dSj2R4LCT6XBqaRFVvfCcIr57bLKPK1Pl9AWc/HtzurepvC2H2UaHOy00/Uz93zLIf5Dm7RHxCluN/vYFmHwPyU2BmkVcM7pDBNax5ImYu7QivqeQ7aWamMbUA79u1PS9r40sRINChmyvgzoHFGhgHvmDAwZz1NvBP2Qz7e035ruqT1xnHTpRKHCx7rvv0Xvfq57j6hTL+X0F7JQj4FXzrU29m96n+pJMPwFhY33u4u2TFNk9ahoHb+Hvguxd1zp0mYnfpko9G51dayoFFyd9ZtkToRw5KHl0ewDoDXXN5YCFHES3/zSrQfSumEqRb2dqfj5xPwDjJgzJ+qXt8IL+/Vk9Y50fQVAUZ4DqOXpUGLs7kVP8/fRy19dsP55Mz9mgMzH7VXTEQ4EDIzGo5qIibcxrGHfta9dJPR9IXZVIUfL9pI+/alkkFmvxWMOZCft4xnpj5j74ou6ixiKiFfPnP96SfdgVHID5BFzrpImllFe7782BzUvRYN/AtzDzUxia8HoHDPOdChF2Y2v7uYMNaEF5cOxLUxZLICO0oT+LGSu4VTw6klwfuPF77bLygHVZmiouj59TGP3WZ2mKYKqNr2/F9qcvkQsTcZ6DLWD8lkKd6uPcJ2719CuRXDjxMFbPEKH2Aji7bfoK8hTa5qyLBPj1C+asewIcUEAL/vtUl/oJ7dY+WLAqWXluIrAZNRaVlVyOS8KE7qnKyCwQ6F3Jyw6Yf8usp45seo7ecK0uF/T13Zp6bM5hztaG/cy3In3cEtZId4ORF/bfPeXAmCzu4MljKBrnKKNHE3luSJz+mRimN0Y2IX3+AH0nTa6M5I+K3LhAWCDL7DbcUMjdoVFsNXdnS5LV/2LX603AwW6KuSp//FtCkvBnM3GIuTtTgo13RIPR+e1B7ZTUUfwF2p4Rhzc6qT/vpfoovVmX7e9Dqx1M0oZrqwdRUtiHgSqi+//b0Iu7XsUbM5hUdzHk/Pp9C+VMNwLhc4oOumQG3f0AzlYaP1i7wXLY42PFG4NcRDVEsLcRqmiRpnwL3R1llTUd69gsyMrvgfzrlIw35rQ3hOpbcGC/n2p6Oebl/kGEbtq7yihjHaiSwnMw8PelIDVEpEqc158xjuDKHHwrX/8lK3NelHrA132hMcuxYrpk/rKL+r84h1f21OYfX0+Al8DMw09LUd20KAfqQLX0R6oDGl2cbSk/GUpDwn0UjO2iiLiJsFrXr+4WzTG2AE6y7oAnRkQ0z6BR+JmXosP/zuDvUEX6SnhS13Vts7RhfyRdkxgmDTsrHfOWrf6g58eFXLMTiS4RZzgiofRvwiCBYSxGERJFGwO11uMCvDw55npS4hvdwBf74f146zjxRW8VCyOUUp5uDjUVLNZO2f80QjtpAeqBZaRvaP5J5T+L6e2XOXoo5rC30wVjSV4I9ycA3dATuCToxK4A/MpVmpYpN78rrDDHv5+MJ4USK6lqcNWER1iK8PAvaPuv1/Q4xNzeh3pl8XcSdh53fnrnUzKIERvuBbfRFii3GnAQHW65Vvx2AB3wUvzMU+7V1bps/nI+AB62KS+pnxZl8FWe0h7x4UYgDlUA2g28o+q3Zl92c0N4Frfal2OV+EsmF0U8LtHHPTN+v8Lxq5G7Nu7IuzWwTtcgBOzT+8/y8gk4KRaxJcU58Gso9sfAq7YkQG1+anpOabY2n/QEwE7Qz6UCTSmrpmjCyMzPqqO3jDHQDfM89OcsqH8gPB/2L0ZQUvYoq2r32bQD5gYc6PBSj2rf99pxFWLYDA704hcT5t3AXZZB/LRmTN/w13xjDBDAjJZoAbwee6+K+WJmplXDhG8d1IEs8dulJT7KhfG2tV668GQ9yu4k0y897l/XzLFjCzcxoLuasoElZrxqeKXkW565vVv94CpFMz/hOGe5Y/wk6D7RYoGPQrogE/mrmB52Q2WtKxsJCm6b882gdIQaX+oyPGft8NNbGksBncmZ8G/fXekBZ40h6GuaZgjZNIzMLp9tBmrcEVzXk619MMz6DDbPDeuWTQD7wQh6b+SvYQh4V6rVX+VujnoaeY/ajCdxLRfUKTNmCfD1KixPB9qY2+E7G7sy1/4DV/J0z7rdIDjLo76lLvpROTW1/KgT6naWO+/RZDFsbUOZWufLlzfIGa8HMJTunzh7ugz2r3vR5pIsa5OV/vpfbBIPGI3G7oRS+PpCBZqxWyMsr/LcrEQT0ZyJpCDy5l/bvXCLr4QmOqspCaz78cTZHRriuqV8XwCcUcMfKWsrW2QK+bqcmmma43ZUHnVPB+wXcS+phvhRl/ih6XnNmf2dClk0EWBQTqmJ/n444bHX6BE4pa4qoHP3XucOjZta1duzAaJ6mND0G6EC+5p9ULLEq8RG+t5+KOcUclxnonRPTPzl7bKTN/VOEK3juM6b+lyxuj8ZpbeMkZ2Y95WXiN8O2gG/6wl5ghP+uYuBFEVTXdEVF41gPFtnyNPwDXEvvYtg8G2vrpgjPbCSziP2qEQ+rDT+9ol+8DLJwrbUNa+GRC34pEL5hrcWp2OqGVR7p8et8GfIBKsjaL1JoV7moBw7kAp7bGeuejcaBRK3TUg6YN7nwfvyKzdejreE9YdL2wL/i8EnYgiCPxPKsgBMSDPgrsUYTEyRn1vTaFwXOpXZFf9nQHgMP8W8E4axw1FL1nNeU6BaCL3d9B/fJ0Jz3d76ytaDGFUWfW70HbE+vR2u7mHoA41mjzioQu+1IgyTFK8bMnV51y76ykwUwdmn6DtgUqYjpF7erBzsDpzpzrIyfONcZi6RT2MTMCy0MlyG9+sDic1N8/Tf3lSYXKkBH9Fvg/oq35/0KOiVphPfCQ04o7uiZs6pfdoCHwEs7mrvAYY2PT6+OtZ10/+N0tjw6s020DxoXrWaGNKjoK4+sZwYyO6fcVQH5aUr+hcU854PMin77Bvj7Wl/n9szNmYbxlnoqrromALyIZkKF7cs16QTrQEd5HH49F6G6i5HbjPpFHXaV8VZsIvQETgM6AcUtRYVxkVQhqgBjLRGZXhJMXhpWWp9mBoPxhfgoegTPkJr+zYxRvU/Xd7s5+2d4d6Uwc7Mi+YScf+cifABvDKijUDvun2L0OdY8yUL+nQu01g4JKy5ZgUjRWuiF89/VSiA/yUTF041DlkvPkMf67q2JkwfnbFPoZC166TVnNIihdwXNbchtEbNUV5y5U4nQg1h/A04d4zO3TO0uhyubGj7jyyTE/9UsVYCBskQxcTRv2HIGnbCvS/jfc97wde+qVbsV8yZp6w9Zqo9mBLSj3RdD/Xo6d7gx3iZiWwFecu5gM7/+o0Hc7EkWtdACYvj/6lICaeZPAabM/n8z1MyszP1vL9Ju+998z8sj476uR7MjqTbcmjxz5qeETCF/HFPjD0vDRwbIUOhPeDYOYhB4a2/mFD1e+zYi5VN5inrAX56QiK2gMO/V4B1OtFtZVF0rWE9mjyKHnGfmmwP/xKyY38QIax75OfBFXkSb+9FKQHvO7gHWZib4Po2AwkQLbez0xTfeQJ9p0LR9YacefGebMiIhb21YaHpgplyeZYd5AjqCO40rcy66kpb7VYBWOa6gzYYlouP0rJwJcue2SJn6qajZh0AVZQuozr+aJR8YI8WW8S/17pzyysyjhO+6HBzyAeko5xHgt/FRdpav2szS6Ik5o7205/YugySXrHdN70cmkqPx/uWRmQno/UhhW6rMvZR39O9slKJjgxATTHbs/P44MSnSCPgFQxDrgBWCJCeq4ftATu+lKQQJT2yiJzNzIpwONMKmltsW7GYXY+9VKzb+xNei+Ocy4KugTV9aLyzs8JmX5F7YSdYy75oXtwX45UgCZDQKMIBuxWMS5YN9YM7WMrULpJRB7YQr6OyDpP0dh+jnYPGsdfSdCYRh7XwXpbzkjlcdne5Vf3injj0cHX3NYsBf/nkH/mXmBHvUfb8XscF9Ph3dLqh6Upo+RsD8pQ6Vnfc6zZ3LcrCme2Wj4/G5rUHPhMDZbRHaPvzehuuBrv2rj0rEqAcaSNAipu4ioYB/ZqYRA00X1TRfs8gu8pGnAtiqBE1u9DTg8SpXgLY1B44wn2nAw9RRsuB+VISeL2MdSoddcZA/T6H9qnMo61iiUwx5qWSOKMnYah5XQp6xeDzMLKtKTznkSESRwoA/JbXshQxwTaY2qbV38qHrTJ82G7oQeCsivLPobv45ReRYOTdP6df8r/mDr+hSWxubAvPOKC5Tx9S5VGsqVC+dLTwTurMxdKhWS1pyntP3hQlrYcNlUavyG4pQ7XRvrEx2THTXfFiujaUYaNhrCxqUuPqVK7u0mIuiT3iK1FSIOWLid89vob0GvWiXdUgyZYduGuCLCJVLR72AEr7LUO3U2G/o0H1IBx3bst3AtR45RZdmBc7oTj22lFWV+LW/YUMu3RQlcyuzFx89bG7L37qvZrCTQii3oKSnq9oBZ1ywmZ0abbmgSWZ6ktSYzGbXFfOpP0LmVsbDKeqflU4sYifXSoe/sw9etT0kyO/Ykc4BMA0wogdOa+bOLZALUN7z+RTOMY5A4UXTPePwHrnkwN2EBBxLh/wuNRbFinr13DqnALRwnD8JcD9l+ledzvRlvPY3XPg5G8ymjIXaynbbS8Medx5jCphUg+7BrZjOde9F1aB3zbl7nCg87pjsWz0d2ar7xvbPadAdcKCsLAjh2sBwrAp4VuWSAN/gxl+1WBXgQ8ktzwG+Mde8XWqHz8JoIFdPrESzoNWTcD8AHDTecIDJ4aYVRv8T429WZVHi1qHulMULRt+tZuisgn06oCnN/NcNjvSLs5FqnD7w+X1DgkQb/cic5fY7z2qA9zCSJBeanIq5qtgyZqGG7504IszvhUMQO6ulWP0v5ezthnmoiHVVW+FDliSqet0RO98o/VeLZcO6hRyn4d7xswaelMZJkDuqNP7P8BYOhY2BC8s673/PngJu+z3l/rlxCMSqCumodqInSwXahoIyIqWyWuffs3ZUClrf4X/9RPNHUczXup8TBrk848T0Ne5BHozp2mUp1RHwlLs867mNSAy8yGbGZ3zgmgagfGN5yIDLZ3F1J+FE0rHTtXF3Af3flCSrzrlDRPo6y4bcwK38jHcqQFwOfDl9zaC/EwQYMRUIVXDPCejK42Fl95bJDayle42SDvJUAMx9L1eSc92FqZgk8MifNlBxhnxfPeenHKWLreVP66VhYkNcbAh6zVlMbOBwQRuhfa47wcVjJeGsU46A6pCbjJPuFPiyYviD0nfjp5HwCEkZqQcwRAp6fqDD/FOzagPfNMKMvGrMrsBDq9YlwPdR1AT5o7b0IQeOSUJEqOljZjxkVmhmbkfwrMJ4e+ejH0NsH09sqYD/hwT+vAm9jqPkGzC+YC4qizOBa4Em6ZcXRiV5X1nSwvC9+ZOPgB4cOKDujpjiYx2FVu7uN3gwvvTp0jrYIiuCmEbsxHHNrXRpOEStxcvGQrvmOcvG7Gv0emAl/1BUXoX4v/0oFqcrFduJ8qQ4RXuHlJOjnKQw/Yt1uQeds/gVxQPoyawaOcQ7Erk9PXiPIaXLY6F/+xN+2gji1LFDYE5u3u/hZ/zzCAd9yl4e/jOrGOqkwN+YbcnpnF5VNInirANsTx7gq5nHuiMRaGaj9AF3ZG/2oz0EWmc+OtJtYH3RMw5PZ35Nh//xQ7yb83rg8MqlMLN3/voCIq6bEb7xKJ/4a85NDYeAMBCiu0O+3BchP6txusK9DA0CPTNqu0bTCLhsEySfMiAVxBRh4e88ook4HQPs/D64+8XMmj0+//3NrTgNxMahZ2Z43mvId+lzTsg5NP7AlZl7QJjhnjaV3K9U3N6ZmTeA/H1twyqL5VAHnQ38HziHJ5oQeNOw7aldXaW7B70J9x/+zXjy+Ai62556NiSXNno4tJ+/WZTEDSOH1O4+SAi8rFQpYHvMnnN5QlNgvCZOgbxJwWNaVp7Qym7dvZX2+0c1+kUWfZoZB25jLQFj3uscFrjWxhYBeuLAn4D3hEXc3XDITdfoprEYrAF0yGmSpzG/NGdFil5fCbsB58b+wc6dow05QavziX56begx/LVlrSuf7YBoyv0jQe+vM/qgjfEtX8OHGNjD7BmSAHSdlt91zAfVYx8jHJz0RFO7gvfawZqTXa4VBg4Un6KONAMnRUAkWZNnLZTGGmfGAyoNP616gLXqzK/zLwvy9ZI7WtLR+LOBPrBuT4Hezbw6Urh8bKw5gnzyKBwbpVF+JaDPQRN65Kz3MsivIn53gFPDetk4teNdasgxSrdmnlhkPLYa9rfn0Oc6Mf0N2JyPQY4AdASMHkO3gvWhHD7KgJ8LxDOJUHSwuws+Kx+4JmGl1jXXvLbU1IS9dwoqWLfkf/XZg40EJWvNkwQP06vmlvBywrA2iaTE+HX/NxN0/+S7GfLGEqajXlk5QTymxkO9kuFyzksf186SAk+wGsCn3E1iyEtJ6sAKcPWPdNUXs5N944DO7W+vnHKV1nKs1vYOvLUDnUCqVVaFhSRzuweLFeRz0Pij9jOWWrXVL62d+LDmYgGrCPTnmtsayRB5gnFcWHwEnLngqNvVgfmeHqICvzSRW/fJqkLyBc/g5zb6qQeS0CBfC0fugA/Sk1j6xtkGnM2BGEloetrg/h54xZAUNAV9MTZw/Up0Xy1SgfEOpWgyHq7GexswQb8w6kKRpsBdE25heEYF+kDfKuvzoQT/AUzcnEZJGg08YTX+6L4FWRxijtBT+G9ztNFCAgnrYP+sV77htLtVmiAc6/3B+vegEe+B/77OHe5pORWKyRH47VKEqAPdn0hEbCK22dHK7/X53cYW/ubnTtQBj+sSv3HAP0y7ifc2M/uTMvIk5IGHCpe5GLRU1vbZsvkOui3OR/U3lxN4pqmd3Zue78L442ieQv7CBOX36rwH/c9gvSs/52auWe5Q4IGmJ1UU20iAfJVfc4+f2/W4Jh+t7liK8ofRECyE/HtGFv3rXbpdW5uY2WVmP9f0FFyI9WkdHPmDi/nruBIXsriDQ208IY2rumgAd+ve3gP33dXh9odEelecmZuFyKztHYHr1Yj0sAb3tcYucf7m0HUHZzsWSMeV6cmM9zZwQNmGc66ihUFMvzXDchch4BVwwFP/sIvi9sjdKWjOiVYlL0APZaBjVhIDuxjmXEb4u7WSADLoHRQ3ya3/6yei9t6Ttr7RgN2PLv/tDTQzslREGHBZtz1XCwk3HnDIRQHuNMWWy/hiUXgXckxCMUwWrE/zzZ4pEHTO7Dto0g5H7TMNYX2G+nV2E1MxxWrwCrOHXznqmY+VhwMdNTazQcMCTmkrt7AvnRtgsZkf5yM26JDbuDuuMi4cM+fYfoJ+8/CKvkBXIy6Wp9RqqgHzm0C+9oh2GZeaCvsIeduTZ79vOFo566+5mXEHiRV42O1o+0afvlVivhXR5Skouxu/Dgp5+eDYX4yBcqZ+LRB5pqjzQRPHFPg9N/XaOn31fz2LkNlV2T8aBjl/7J587b18JSK3EAOdfEthLUmNzgfHnD1Ic14Pmgd0Cpvo/zxw5ik/w7qioQucamrp3k3FNuSWnBr74hZ9/vIjAi34z4bvlap+WblIH7mWErPOpeFET8w2MwEYGbaZKnFSDMnC+vDZcuM3i25M7De55mMNuEwpjqU9dYDTuFlDwF20Y738Zjb+m8vZAkOqXE1lPN1VdHueTG36OYnlis8iwEPlTvnp69+91egmB9BP8eQC53iD2KS/vdBmb4prWMu6PgE3xbYfKAQak6EH1mxD4r+eYrcIt4d8kFyUKIH8rRmVX7zf22plduGC/hsTypx/oGH1k2tAQQs4qkWMp2UHGpm0FIG+1+dU6KWxtpUYvEhF8M1jvgduhVv652UK2h/dWmQmCXHCQ7TnA94zrsPDc/uDe/tbUHzBoR2/PDBSNMVssANazNr4ZmAH8KXYOulZFdLh+9ZJYF2TXQbawtRtF2x56eXyuIYO3OO3gvwJ8YYyBvm7JEs94OK0296bcH40FmQkAZlnN5vO9TezF3WwtjdMmc2MjtTdnRvPI5scc42O1ALMBxw39fS1s3nl5a+s5Ht4Jzp3ZFzbOjtFyE+5ulOz5wRRcVi7SzpoUkT/4N+1XoHChxpRD7nMNb26YjfbgClcDZZ1cKdzweQVYnIVA5mADT6L6OXPNiPIIaHqZ800h7UqGdb+HfTXhdDOzdd3rwKcom7/oONkPEW/DC/ggicHx7oWEe8k8I2U+ksLugHwoDwxjGm4XU7hzZJCVk385933AXx7MVwH8l5JevY0vmZYVw/VTwnEKzc1F8wy9SSpB3wQeMEcksGypUii1Jxtm55WawFcwvsGNDMd0UiG7knKbsEW8ONifn2voQEdYGbgtEMiCs6R6Z9vRCKLQJY14FszkjgDFOZRaAMnPTegm3O3cjFoZsD2FLuTm4uNW9v7FYfMTd0KcgYGLshH4I6b1vnb+/pOIR/kznZP2N4S5oQf1hIGDUH6f6scucsi4LW9BBmmLDGARnG2wvSetyv5oKK6nwbgZ6v6OVrqx2CcinWndlsPrnP9z1fmpb/WfECJqX8goXyTZegyplzmINBdfC9Y64COSUUM2q+UM/ASAWr4mpcp5Av2aMLFT3vum7oJqpPLqZcTRftnXn7ea7aNgNc/KP2r7QHMIWXOvFA5XaBG/wf4j094NymBFjr6C/AlqYAvg46FHLs3s+6twumdBmgHsNyiAK3K4txrADdqqinZzXvmdMB/ulyJbQH87jVj1wV+WxofuCzEJBfzk43dNY2lrANQ6nYnmmJOZCgfKlbApTYOtdNN7pIdZWZ6phwrmgBeLWUhJs4GUKiR7Fl5gfsB7TIsD6BCr3MiDzQByRA5Yi1JypOe9crwlQ8cYch785cKqg2sdTPHh0v3/SED3Nf64kgG/LGfD8xwk1CFRTRdUsjvp1iGKWgv7OIS1niq+MuL4HaVuznFu62Zr2xn0XTLYmzmeHskCu/pin73xtRo/GUsq462OBNmr0F/cxdFrERvGE2Xg6UcESe31Mp/z1Yrh7mVtf06jd2m/r86816WuJTCe+DBzEvSmMfT5hQmWLB/99PuBrkZ54KTq6IkL4zvvK0vzMyLPutrLbz+NKAe1sTGnHlAnpMZI2tV3MzZ8ncTycR4eryuRR3QRMKe69hPCgSpy9K9WjtyipOkdjpz3kQhPzMzi4MAVvLf2dP+t+liEb3yKeApaN5V2jzJe+0dLVQrSxl/fJxby7fZHf7vWpgD58VuMrRaG/+s/ERRpALmto7OTW/jaew9+HLPeje/kRAX6ahEUfLc1IfytfKAL6NiheceFiLFkucOxJ8tP4BzHlLr8aiH/8vL8mvbVwPBOEJ7tvYOp4g2DuBqtLcra3oDLXil8I4U6sLWwpJZKqrj0Euj7YY9bzaO7GuB3l0Z7x+pmRNjJ2f4/o+UdqTm1VqP7IXzPryz7yyco4wlS7b7B7w4+WiGy5OCRoHYy4sI8nyP7iRiC3nOe1CE94xtv0G/emwA7mYB5kSpc3TICMzVUcN2+fWicLA2319E+lUjvcD/P0C+nvIB4iPiOQvwDlMUskABepESR8lOjvp/559C+4qhIA0fNuD5+eiSTHAdUMuYrVVXPOofYEIejckkQ1KZvRlTw/va+8LAA5vAh4jvdiJMrJyrb9DgUp27QMT6p7EJZg6fKjv5ADwHnktQGxJHhPzMf2cJJ8Ep7iLgR660CWHAtgoG35Jx+BxTQNn82qucCssmCsk71bqQK2ibqAMuCZoHdB9haFOECpu9LIjyJbVVTIepwC4y57PJwWZOoX3KkOxAt3jYQWXBUUGYOXec35TdW5Vlv/b09jUjZ8nxvh54n/czrMF0gbxOJdtfRcBXAvFWA75mJV5qJgFv2UIFOYI+m0U4i6p8B92Xr/AZEsK6pRV4zJn8znliYveQhdOrB+HJrIUXGnjlc9vL580BCvGEa0/SmeD7kuA0mLqK9NG6l+XUf5p+k5WyfHN0Lm5D+Qdwuo/TyFPiGB2n7xL0PxNqb3jP0fr87X/+q1tG/g+PlEt7MqQ2dykjPg/yp+H5JEqMv7IkTvfILe6zYuvjEB1yxlkaTWtebLMUYcTdcEnN3B3XH0DPxbWGOPyfz60nwtuff1TBZSWC9MHHvYtXeayRrozvF2gdltMkaxzEivO7V1NQao4HnIB//39EnVuXqjqzhv8SB+kxvZwIAVFiE3KA3AFxNEJAWmlFfv2uzL3s72KO0auXNoekqp43qVTV7L4hLg9riAfEkjkBczus0mH99gHfobRgpudcqbR/kLx958/74FtQGs1+bpFWRVeHRG1AervLxXZThapVFgJ2bo91YOpTadR0KDKdLE+ArlI0ppdPTPqWg0+9nEzzuah9lQP4FbbkKZ9+TvFvDsypKlRYB82qLjPDwxw0IdiQDjegF3nVk+/SQRn4phRi8gox0vRGfFWmAEePPlK73Vfgn+oX+J9wZhBvfWLZUS76hQntnlHjmL7z7zWiHPRLNpoa/RMXwx+XF6aOK+9Bb9mgpyAOPk0duB0w3e3E7g+gnHs6zE+TpwjMmrFe78uVD8pqXNA1MXZaYH4lD6+5q9FfC+zyXUvH1LRM81VbbNw/JUzt3ApvSqP0tANe+NezEA8HmIOngFMVSZc76eOwIng3Ez6ubZjD2IvQ1J/jO9XhPdc6pRF+pqL3uAaWAe38ZuxcLOCr5xeBOaXC5R/3GP5R/R+vdiyXFeBvdn/sfICfqZ/hHvgIhOR5TPKGLZ+mLjGDyYytq9m1eEqLf9LIu4Kfx7VAeWO/z/jMueI8OI/X52FlrirQjofTk9vI5wjdTK8pCvQrgmRJafIEhpRsMPtbUoNGoaCxnFJjXXftq4ZnyQpECPVfNPQ6IhbQLWYP673eO88NQzof+FAOLQKW35/F1WIOPmZiOeIQV8RGNwZjXVqNlXNg7WG/gHaiyubHc3+HeEPM3lsAtjJnlg0+DWfKTa2Ds/2s4r826K93/aifOgY2cVK7uoA+oqikAegz599eWcdC+yMrlOklDP5phpioy9oxvLVZTkL2MB/1Gdjh/+v9yhLG65+uAS5tMW9D4KUDaPl3r7EVg8c7OuV6Yghi6tNVcMd4CBfQHCDReVEWymfcJ5JPbeqQfenIzblDXcNkd+7hXsa25/a/tRcO95cq1kakCx/A87L51/s4ffuo6cxQcgqfwOGSnLifmV7MVTR38GpB9/yx6hgYuOMnGqmTKFq77m3bzHuls01JS7CPZCNjXoqYO5Rjh3O1w4b2bQXzWl6I+/W/+jYOAt0IftvZtoojW7ooAWb3TT+xlCUHtspvc7YWfMdytAjEpj8OaNSRILXLGKaN8GLQUWBzf241Nee2k+LE4JXHe4drPuWFemuimXV6qSh+Vpa6ctYmDfr7Kjv+CXwCsQ00DgXt0yNU9ZqDvce84A9gZ7gH8/fnsQ4TW3Jk6iy4POpfcI8FdwiBzyfnIbs13P+t9VEN8ojjxIHxSkFDRFLYJic7P2v/B3yVzQvpn0e1z4HLac+9M1xS6f0Li+VZguZREB+BV/rja/ZT9q8279XsA5/yGZitzWrnt19bCH76mmueNLs/4OfwsdSa/us/OnKIQSQ2+x/gV0NQzCgP/rrnUQdk7EEfb4+sX16q36LcnUCzoofi0iNW+i+nn/Zeee5Ly9RBf8cvrFtLdvoF9yGV5QGjYOtoLZOps2/yZeoVL9Kx1qOzccp/72T/xF37VKJdGwi0Vb8cylWKfAA/60LccvGUFtmzHnDBbXwEZnjXMHkpHq7M9tvUJaBf+M1UMspDvhhfRP71T+ZVZSsK+nXNXn9euMMXTPVLFP4xtcOXimwb5kJQDujzPBhuJK+0Q9fSum6UWOYzsOI734ZoX2LTu9nyLBV6Qdl/vdSQVLXtf+OBpA1vL/noO40TenmEP7iLKYUrpyFuSewPmWNL0Hsb8KMZ0+oIAvQB/AV6P7ylNswf8ZtnHteMo3PPy6xI9vy13ctwWbJCSzGiII/aobnMjyZURdY1bs2VX0NMlI7nglY5EhbeckZO6jWPgoOOg7ivLLOPCHzgXjfAfyfOyTu3x82Zt6vGKVSuz/Nw6x+t2eS5IhFNJS98yfp2X9oqkzb+ERpRbMu2HCTlQeOxy8yBdHegca9pOPHKwmA3epeZ+rpM5sA4TmbNb573pLVdwCads6lFYLWIdRL0BLNSZ/qB56Twd7JTmL3AP0/nQpUZl+C32pabnl02iSjwMHaVc7ClVYv5JxME/B5GR0fBeAKdBvxty1wUpg+xWjOd/NTW08koOTZsKnFvDxTpRBaNJ6L5pMbkgTti10BFwGF2Fcm9ctIFdxw0lP4o4T5N/d7abj+wWSNZe5fq8Mai37MwI+h+XA1/rHREN4itbaUBU2grFf9ycdAWJqrB3CpBO5UwLj+4AC5Efz3K8I6MmVd2ZKxd2dX51uzLa2CPhY9olb3Xwd+BmC5/64qUECdNnj1o6qFe/Y/mXz8DbafO3qFusiiXABO3H1nXmlqvK3flICgZc9CpGee9OZcpe53D8/l0t/0gfO8dXHWthh5iJT+di6T/9b1MHw8mfov9QoZ2JSMfQc9ZVUC8RswLaKafppC7lClBOh1JJBeJ2FOM5AJ26fACeM5uCyAdp0HTqeq0L/psIRTdgOX3wFrf771ss58hLbvKLBOTWkYKbtYTy/MwS2zhPtXtJo3bfVokdwZsxAbvO4WxI+E2TYNE5hdgX9bYoHexov4O2MqrXd86rlxWA9vgUb1zib1at6McEOamGgJwE2iO4bjiMg30IKKv5/nyxyFO8nG09McBFD0GngSu4PCdvP7Hqu2L6NaXpsbM5f6QUfbIo8z09hmqIslAA/6vd5W1Hc7x39vRhfsIUcw0CmXQppkD9hW130f76gqOPOmApnbVyjn/kMyzqUtm/JrtGniPduWGdaa/butQZ3KppZ10KM3ZxyR1vt487x3d/imdPyDiQDM58wA66iI7pDnw/JlPAXOmC0SaU2XzSXBFibWQspgq5iaZCrDInOQuYgLXaB5qwMdKeK00fenZ3GfGRoZfFr0DP72qAN2b4e5JPYHn9S+mbjXR6BNYyjmzLT64zRPmyh6HrU1072A30cD8pjfKdy22qIrIKQXwTAOUgJZHELNETtPX0UnmvGvfuvKbd/iVi6QDHn+mWmlu+1RaBJ8LYKNI/VRj6aq+X1UIXKlNrEuwiib73D8X3i8dBU5VbFvRtZ1ZMbV5EII+27gSmX4k0x586tv3puCfwB+VNzFOJ0r/rnXoga9R5vzkFb6/UzaZOMyBf9plRXMFMeoc6JcMeU5ithHDYoEvlyoun3IgvYyTklqm1wFwr42fR4f/9lHNhnQ9uMSX8dci3eSRrf4IXAncvH2SAT8anqwnMXvEwXE67E1dxBcfdMYjnqY6MT3D3HOcvBgK7XPno3JIIJb6VyWs55ljklq/e/Qn+rq7oAGcJuJPYJkrxFJNmNeeCtPRb5lqnmg6LKja3ZfKxjTrTS+Gvxs6KkZDAvyfAXu3VdNPOy5KUzNUN5YFPmq/5Gy+Q5x75y3/ZC5OZT/14HODxvRMi7ldIzVWDk6bHg3S1VZO0Qh8T8uCBNWocuW2Hfhec0YNnZnkaRxaoK9nauuTBC7GunmYHPdULJ/AMO86t07V370mJKZ+B8Qc7mUDP1I2wz1hH/ilEJy4FTV7vfrD5EsDjx0EVfeG8bixPF8UxM/sxOzffcqxvRzXEvyyV/HLbOqp+3UQ/uaLnsI/MN+8hYbtoqytlGL7ymyfNDY/pFbzVKPCQCmD6ZVAi2lMC7aWwFjcTYRCwILDsiMMEcHaHcT3f2dE/tV3sGzwL2qkv7VZZivVflYPpm6T2ijQrBX4ec6wy1dS1hG3ziGeVO8VanhalannIZTp0TqezPnJVT0a/XVjQWt6iHyavrZHV2rs2Esq9DcdvA/FsvfZwPW4QlxziYdFA/GDX3Hv7UGzHJvY7CunoI/Sm7TkYjSq7JesFolNLI9WvXo18URooHwR8E+G1Hda6EPJgP97YvpdEdD9UzPYb+4t6W4+1g7CjOs27WfddEls+lcS0MiiJ0f47oP06HJmoF4Fv5IxWSlos8bULrEVxFbJG6oFcTVjIbrzyEtBD6X1Km3Q1KCk2/f6fJ862YoD3DL23OSgGxpNEvic5KP+4Y4qScQfFUIX0JWIxHu7drwT8P2VCHyhgyzh2l6j91Y5tliYHJMezaAF3Yz2Do+T8cTfa7D3VwUaFcbPPtPEZRH4KGf6IOAzpU4ojdAMPERyx3sAl+xYkFnnyNQA91Jm8W+8lk+Rb0FXJViO6rMOpyvY+f7MsrXiXxuwT7ux1dv37lLrboHfSErXX4DbO8lJQoRkaU80CVpzfuqWmn6V1rJIazrkljea/n1pBAzX864akKyL68rAnsUIPBAqOxXbRxomcG2Vnpn93kPsybD1Tf3lNGjvoOcpAeZkCNukTx/ngR848idTm4wW140QoJucZgX/b3oK28BDr9rRBWMQZ3pUKCdxuWN6L2qTk5OVbupw9zcH5i5G/qCUCxklaQ7xEfwRyVZuU65gwixTM6KcgvZjTnKteetTC3xYMUnaz1Hj/DG9e2c6zK1c9xszDsCix7pQlIIChOcuK+Dn93hxBxxt0IPusF3m2PO5l5/m3C6wDKgxfk3jr7VizevgeD/M4Rj8Ca+F/Mm77AVvyyYDsrGtXtW/Hirk0jCbnPW0Bz09Y6d85Yj8rs+zcJEn0/fMsQdQSx639g7E9UDQpDR1y1gs4Z0TBnHbUc78pKAr817dqh2wSj85oGAght1Bz0++6vavVO/dmpaPrMcIdMXPSfzu0VegjZFgWEinTbg5i3a5L9gtb9mAfNCyM+jFAzXrTs7drOFQZhYF2NLTIvVEj6ujY/peb1y4zpKO8oQv276BUZPRHmx/ax9X9l4HgN/D3OF8R0T7wcKNy3p4/td24MHeSa3lxaPUo+v+Zc6kpRoXpeYCfOslNe3NOMJASc+jq1fCtc3C+Qjs+6zcqRImjsGcIevf3763Z3juytikNTkwa3phcrKtBMMYf4LWO4B97Sq2zbG1edbhTGioT1RsXqXDN7jwfWa1nRynRxPNZo8uV/0MGg6TpkCfwJPg3/SbN9amV7iJdV5RYHOTI97bN5MTebA2L9BsWW6pHVn9tQGeMz2OpSvBZ/Svik0H2hNTa81J7WYtNY6Vq2eZz8WJ++v5sq0aB/5zzN55sJdzD99xk5D2UyKCv7czT07MWUDSS/BBaoXYZXKzFt5JktmINA6+03Bajvb0zXs7JBpiNeg5NuBF2fIgNN8TN3wC/6WiIx+Z1f68z8KYPm+ZRsvBBkZbmxU7rYbYVML9WGmX7JpO0nJM7iBQ7dKediScA3GZLZgnoxBEgCIC/ljiBgHxghpXLvhOkyPObJYJ71CCnb6vlTpeYvzyv76AYW8fbd+GeO6eolmWdnvEY8spxOpGqDzj6Q2032eFWhfuj2H014F5lavV71LGl0o3qxzujskHyewpJx3w9ijfsZJKF425qwdm6mBawNjITylvXLAjZPay4bl85ZBEFPyn6b+eJECPxkF9bfOOcRwpyrtzJL9rlLrAPw8e+7PoEn2OgTstDN7tN7/XAga9sxXica9C0AsZG9SFrG2WDQpUWludglaTELmU6zgfeqsBbXCiuD9a3kcDxJGxJGbAIWfkh+cIR2n43OCgXA6mT0nwdzV5+G/9lVvPNWPKUqjdsL58pFaylMI25wyWFHjun0al5KIGafo9f+aoXUg/t3XhgxZWWb2acwOkrYcN6EWkFcR5aZve21NGi2RneP03rxJmAhNeD0wTmX2sOpKb1GlDMirU9N6VRyiG56Np1z+b7q8t12SiFuhceGYS4gQUYIoZcWkc3lShwCzlVfXaw7rlpr52Y0/vNfML462pl/JDLPC0kQ1jRxjo6RaP/Fpb+0fJ1DXnbZ4KcqmL/kEAFmQUgt9tQ671Ugu9QrwydUiwctDV1D9lYob4ilYRoCPE1ffasgtzI6UMgAxihwIeAf0D81G7dCR7Ia6W4Nhthq9bOeBRRsqpwunwLzcedBENOGAqioBZC26Z/X6jOdnmAPYlO5KkgTnF+1tr8ZUNWku28YBr48r2N5UgC+i/52HVp2ZFFjfrdkF5I87TrLcBG4ZOVcBnQ12yLrVFWG7M+eCGJb5c2+gUt58Z/XrkFqjhLknS6LcmRiIDs+5jP4ClBoiRn2xs7MwBO2UQm/rJhzGpcnZ/UJZEtPce2E5fZEUlzN80dYg5Ay7ZCPawwrP26idzcFUN4VI55N5E9k6E6L2+scfOMmf9Yta6IsF0f2ag5ZmSjCIhraVNY+UB10gylF4afD2V09/Af55qp01BD26ANwJlYZl3Km06U1MqGU3OSAk8ITr+Q0J1evuNEsaDMDVRt71VjrynlLwwwodTga85sI3k+m74gQhV1Pb1abQgF+pT9HpPaUJo3M6pni6YJhw0rCx5QprAN2rnQ0UEYvpv38DVMAPYsP4372PfkSYG7mb7FGh45s3jJNirHMgOF6l1tCZRdaVTX+Ydjs0aYxsBaw78NZvey6GIYRREswEGjxoqS1X0azMmb+0A1JU5HMH3KOiv3kvJMDmV86/uTM/H1hYR6KTI/hED57Xrw/gkU430kQzqydgdYhrwhdh+Zo665wVaILbcgUn2VTh3cL+sKpJ3rIxVb4ucJQLi9g1H7aOkiV9ZpoK1Am25xGCzB0JbSQSwA5Wz6S2UdqUNerNqCnOGGMZN6D0zubDOsjM5AJW7XyoWPrOVgFaVb7/h05AL+NwKY742Gh/PIzpSGC+wNXkS5MDDpEwHBONjzkECF/SToI5OqoLfTyanODLr9fqWFXitLGIxYfozIu/M0bGKMluw3z4+RRokZcam8NxDzHrNeWbxH7Czjhd+IC10qC20EUhfK6pKHKij6Q4k8nmfWoqcO04yZ3ZAQz2AvXbADwHEhShFSdywpass3Jt+Cu98URnrTxy3V8xQWkc4rLpkybpWlNbi0sB35do7OOIF1pozC3xroZec8xH4YqBU3zNre6CgtzOqCLe8I7AO8LKy0oBXoIluFGL1O7+XRniDe2sBL76KSIma42sT2jnoZE47/AJfcK1Go6ktqxReCHpTYmf7kK6aeG+t8ByHfzWtEWjn0JbEnuZs5FnVZW4Vg+8rfmMK8KL6VyNGdc3jtNt+m3NkdMhcFred8T/UVqWIQd9oPAGPeGpAcA38qMDH565fGm44d6rH/3+exlYr6A2mvyXl7ZmiQ0nTt593zkKXZ1NXvTNnOjPQo+BtumyTrvhHWtm/NVb5mnvMtnsazQEJmg1GoVd1zSYP2zWz7ka/HUF8fQKvu0T8Wdig76DjT0dLlji03+faSDpO3VmE4HuIzfu2BM1EaaeWevxr+mW5NEwiuA9NHP2UbA92Opt+Eydh6kyGxOIjilJzTs/U8u4nhi2TL8W8gy2zskNSjuz1G7+EDjLmmdpdB8E8ocSWSpScYA6SPLKl4fY8tH0WpRtgmu4UqYhF2q9sPac8eYHf5YxmS8O4VfG/Vq2zZ01JwSy7PA+LVzv2e43ocIJ5argP5mFYm7WDIJlOEJsEzHiwIbuk/dKsLQWe6huUPglD7TlsHJhf8ynkD5NnXBfZC3zUS3XK8Lx15ukLGLhQ4XKtR3z8teWxBZ+ncNVjS8Sg+ZwJIjTpYf4IHgNdXraL6tpj2mEOOtVhwg4hNnhp14KemNAZ4kYT8dnUB6jH6dBY2jW1NoEuV7j1ONO/Oe2XOtAhcRUuR64zV8d4kC0JPa8Wz9s50JGyEocFEE+4qS80rQ2wvwS/AAqfNXH2TN3kVeryZWoHiUAxuPdLY7XTuUdaBntT//cdK/cKke90+GN6C77SQe7Lwe4UzHnK7Kti3k3RDJimf56Fl2MnaU3dWGDXG/zcKfDJlan1HE+LqS0mxHKQSF/Iv34mBMFnHCzs//ZT7k7epS/e4QvMmR/F/y6py4e0SGxgwJ8aYm2p/VyFlun3HDbh3jnaoI8C5NDAfKeBOE300UnXU/gFOq89UeTD86AjXvcLxBNgQV69czgbCtf4t5eNIjwgRjVw80CuuP/zUPzqCJ2safjHPjjkVVvPW+2yF7Ph/VC2yePJoSKxsLWwlCoHtO8A8W4DXLWC/Sxs1K/S+uX5Tc1wBIwP2h9N5UjchuMA/JjVOCquBn7CDCeV5gcZphvmthS0weMcT6Y2yI+g+gZx+ps7oCWju3UeGjBOtFCm5jqUBbjYh4TY/N9zRZiBPu/lLh/1hoql5OF0SYelIjG68FD6tWWbXEymBlLUAph4VSIb/ePRRGAxQYyQBUWJL/oJ1TEZKeJHiPET1fJew/wBfnnvL++Y6wegbVDOyUkM+FlrxEtBWMN0lxfqSnvDpPjT1PeuIixwpHs5bL2Do255mOxgvIpqKN2zWWenaqaB/lBI7lUIKiEmO9Ov+b9racVQBs/wmTpok1FtaglJ4kK8ijloOvRBwwWYHI1sbCc8+gUXdlr3SwLPO9VCJbLHvrLaTHT6wgvl1oBrtfPlYmBFxrafqkfvNVhTR8jsN3zjVc8E+RNzIFoMtuYr0ZUtU1pMGY6k2fNyq+DrxsPZFkFzo07owYhYUrelCNohK5QPGmSnHJmnVHciMn0FrUfO/rz3fGG+yukUbvfE/IuUnwtgWhhngmCym8K+AXKPFn/UA7/KAkDS2fpqbFtiaQpvFHgVy7pjj+NrNr3QPxRr73UQPoj7L/eAm34ob22e70wvsunjHLc72mVW3aFMue0KPnZRbIHxbGE0Zdv09gXGzfRKyNIArTxsPInIUkWhDe/1ALrQPg9bAXPRyguTBzlfhW69OvrtRXvk1gZs3tRlSXyq1cP09KGCPEDX5MRpy4a23wRikMnpOAs0peF0rLg8NlFrcq+uFFifxRLsS8Mcl3eYL698wDvgevD8C0SF375L8M4UCA5gBK6+jzYo0mG54c5/YWBBFoQ3GN8B95uVIGXylx6ik13JvF06JCwbQLshsItQgkbgD9AGlANb8oDcibN5Vci3gSfefh5nVvOsRrQjwCvAt3412HeIPzGN/YitckNHsw+RHBSfQAe1UWPrllnTN7BqXIHvrVmyN1kcKSc/KianFE0INJ/pm/fNVsx4gd75vc9TzGzQFCtzJ0Zj9Kx67qXA0pRnNrU1xD5TJbBlNZsq9ZoHNiYXFVkrCdJHY309lLW1TX/YqsOfaahB2KPLafcHOE5vgNfuEI/e62zlcVVevdvuMXD60ZlsKThoXlWZfV0SPm0ebeMmJA8ymrozyUtG+GJqXsJ4ZVVkLdhu84PL4HpJe9bKJa7/qqykr63kLouJyCh5nwHf1ZZ3kausGvAt54F0J6pTzpYfHoHHX5WVa/0oIRbAWOiS4gy0lYvBO595e0gjtqQdc0w+xtnEokB66eX+bIY/qyyyh8mqPmv9Xu+94BU964Fc+JC8at3cRAeKhKu7pOUDbOuuxP1ZDvsFi+kDuP9Bu/2zGvZ2Ct9TAXZSUyXF0Rw0UpqyLVJW6Eht6oYkrHFActnvNaL5ktrpw9SkbVz5ee70N+vvz1TM4FlDVzIP2GI50FHuT9TXNWilg2NbwDRHziHu23jH0XQEXT/WTJXgcUx951MVEsmcOc+RqU37m7/hMxfzpk8KZaM1703uk4oyC+IFIjfwCTQT85WDdqCDujMO8bOfBSkmt4627MylIMPiZiaeidnKaLKADROw+xMP8ZPYkpNev/uNYqMNiFhkLtpDHqiSabDRYb6nEYlg3C55f31W1gL6B9MSeAk0kaeCL/sk8JMFyWez+kVml7apW1D2BJ/ZDBzWuOAPRxlOuIrxu7/DAq6gqxF7ZYMXHB0Fk20SvE8+gRNvmP9da3YFBfW1njjKaxpuQP8XZGilsv2PA+iZZvC6kvtDs5s/sNvfRKy/YZ75jPI00zoSQ/ubS9yIFq6TPli07SstrzLglIzqgjV+VqYicE9C7raxqTENMV6c2NMrB/zCDqpAH/oqVhtT8xzm49pweaeOeuYuBEPQIUAFmA+/eeaYj357jvBRxiHEjBJ0hW+n1jKB1rhUK9zbSmzg6QjizoW605qy5Fg74U31GXD/Hnir1Uq3DutCU5flX15DM4SmD8sF/t9Vrb/5h25jqTAD+jL9t8vB9M68r7LfPI4uMbU5HM6z53nEQg3JkncYYsIG5mK2qZ3nRkXyJx9Rq5wWZqJMiN2W6UoqTL8cGTWmxo97Qv47T08zk5sf4P0Z9PuJ4Tv4him1WppRP6vE9krF3qstlZl6LaBfLVlIS4T2Ne/bE7CuLPvkwVnoQdyB5/1yapisJcS53OFF5qrYnIv471oLaAwtYnxhq3/NbXVvkG6bKHEzsY2kix+N4D9ZZ+pQyv/qEclBxF83PMD4oOSbBxg3HXpRtqzAoS9pteLMTH3hRTPaxrmLf3OJ0xG53ALbK9SUO7KCcfVoD9cemaUoaBVHQ7zMXhVTr5rvN2DTUcU1UkJXGOyRUL2DOH+Dt5w2TvIpOnKA7+R1fH2lCO8Jbd+94W7g8+H3fCQ6CWk4f0ihZEMlcLt9qAV3GzfxiLB9kwPMAx5x0CrAookc21veIx8L70faRrfZK+GmR4IiuE8Yp3iuur+3PEbvXJGUQ8zJVz7QyD6kA9mU7oRJCPy/JgnR/iBHf3+KOD6+tkR1ZDyZLtlj8mqcZWL5NhUaWcAZS+O04XHVH2I3m896oG8+6GBX5m++z8KA79nIsO1Tl2zMnlDu/FnS0EvAlk4m/77u/3jSsmywY4+Pf2+C4gIi86PpypV1pg+FBZoD4lj8L1fGOlPg+jHzQGceTK1oWSRvPnyVhV6BA0/gD1vTd64aEFzfu1cB2+CB7IAbT6bPcW7We5A595vCNSemRraQnpterRbppwf81YoU+IYD4gHfSkZlde7hfbJJ/8blAP6vky5g3yDu2oBbW587Nim7Lzd32iW19x4w90RoMuerdtPYt8Am2vQ1M0axVQcmTxHmJvJvMppuJz6Z/UVJuoSzDphc/9ZabIGNkjoC6cTSDQ/Vyey5pPbfFzDokNrqqLrEpsBrEPc+gPUW0w8uHbGdBjD2AX9w0D7nYSq5Nb1SF+JoACwe7hcZzWFO9x7EtjdHfQCDzjmVmern6mjOqlP5IVA7iFEBo6CK2ypsAt2mjAxEyzVFpg50urAYXRmDGFP8fZmct9zs73XJAbPrDfz3rda4M74Ga/JeSxnyEOZL2B4PDlvNOaZyTfqjxdyjQ+5VnMSnyHpibWoCzjLrviw6hi9uIZ9Zy4tQuReI20yTA9b8yNHflZj+tai8VcMMnJdaKm7fc+ObXO7OiTXPTKANxHjWBNnmYH89zsj/PHGIsT0fgeM+05h5p4LrWk8a4oc5A0ikyOzGlhvV/3FPEbGB2e5nhAs17FeZb2PzGRVt37kips7ST2U9TT/jAfjhcGaZRZi95AFba/B/LJ+f0pwFiJXZzyyo1ZpzmkvGZlSNPhHRrEkovYqjvrmYPLLFT8ckr5y5UIXvU5S9z+x/C01MH5GkWsNnvoL/7JENjH2qQ5RLN0HEsXdS6JyJ3gMONFX9n6DNqoxtL+z/9wI4vtzd1HneTmEyihCYxUYneLdJHl5X/nteDz7Degd0a16Kqwf2/GrGCUHs7wkvN5jLEPx4nOdzR3ZbAf7NBRaPjk5v0ZAtQqAReDKqQM401kL/qxMiwGYcHEuIS8xVNFve69jngL8wzOnUrG2OeAfPSHNrm58CvqcsSaQdWsAVMA7awxbviJjHc5fQjHnyHJiaIPeFDHxsevg9l2Meba0qXHw2tK8afJF0kP/W5opp3gyLB376x+inmkmvdNr03H09KAPbtZJT4wLrOh5Eoq93Lehnas5AgP7jDDiLLSN3vx5kxTvT992cO4H4/4ldfpF2sntfC/THPQXt16y6AHY0dfRjOSwrj2UHOkGmq3odbf/nrP+CH8LBOd+OZDV10pLJrLU1fbox+0JVtKXE3J9lD+d4MrUv/ApUSx1+vedGB/MBMYhZlW5PIlZ3zlsN/uehovJVuu2uAUdORrSmol+aEfu1QHfpbHuI/wxbald1CZahFhAXKWiPI7a2sh6SmQRS17Gfmr6n7zVYMpgeZhKfQun/qzf02lpg9ykLuJvHvumZW+HQcnJX7UEzkFTvPcb9B+i2MRsy0GfpjQb9Wq9+1YTJgSOU5MVkatbdKrPmOv6elf40WhGY/0cwU+4IDeKy5eaEuHInB9i3l52PgKUimJcLHrSNe0JqJIfa1be6MzFaelRsE2VpCf7dL4ftZ+2AZ3MwSQvQv8zmbz6sQ+xwLWPVoY3ipk432D27Pk1PLemiqWIQc+Ie3rGec/DPMHYfwJDgMdr5FPy9Vbbewbz6dxYxGwjho/IrjU6NpQm73G+N+N3LjqvLn6VC10ceoAHmt1sVOgYbeKp4yuVgh2mnX0crux0tO2GvP94p/3MjqP1IXeYdrfJJe0SOZr5dtgeltcVdWabD1WUBsXGsP2TB3/qrb/TkMnilMIcPot9+YxvseeUwt5GbjSTnoefTcHrxKFxyhC3QWR/YmYK084+i45lafWD26YFdZdWhF6bavzSMpBXSE3wedNvXe30jJmPoCgbxPr8/qfBGsPmc9cqcd/ZVbxcqbCUwOxUDyarVN/uZJy5seVxxfipUkvYSgdYIQGsvJUcwf+09dZpF2ddVRYiehVe8fVQuJPwuEU2wNznOB4oSnInJpuDPs16BXU2TOfOlNIkY8MpxBS3e82epe5dp7OdM+7jfOmfROmKUH+nqz2n3165gDhFnmzf9/s02D9EnTjpsrTSWlFItIBZ/EwfvwEcsTYfLUpOZDabGdvgEf8jI5Q+8rUWkDmkF4/3BkRbjMiU92jQu2CAFv903HrO8pyF5bIXvWtwO7iDyc19WDv+mwuRMlkDGqMy1z8x6J9jqdDB9QfvWKsW84W7iVJetdVz7Nbtsh3ORPI/O5pYW8p6DP2LhwqSeIolQyEEngQZ/x68LAdquhkRyJ3uk5mQMw3BN8P99MjSgXUAnao58p3T/gjZZDsD5t9TVnyq6vuoRp7mNDvAv5a6PD074yLqWl6zdCIS9Ct4A69P3XttAgO+UaN36sjV9uQ+5qSna393M1HV83V/UnnRNfbDN/pXbwBwRunDdFpTZGq/qaGKtYBjisj1g0N2YPW1giZKHKFTMpspK3jVnjsDsScbb78wFe+qxm/VbH95zKwtyyHi6AV9zwqB5RDjRqvCjzMYQr8zaqr3JxZ+XYeqUyUc16CXvm01lcc50v9CIQ6w3e1j4PV6v0qzvQvxs+okSF98xMMLRDe0GwXQYgceAl9LdlsI/Tjja5RHpm7gdZKfBz3wtSnjVYfURKzhmYFc4xCSPtNmX/uSm5pC1f9tXQZ15p5ytJlbiUQ6KpVePc8QgruKd0NcF5si3chN64o1TRUC2KGlLljxVyGnukEPlhk4GWiG1/mxIoHdptHmQvv3OnWkAPKAcGO+dV0lc1OVdv9SgsaVIzLk2Jw+SGbhaVLRZ1fpli0AmzejD34JoB76fw/2wAYHmRG5lk6Qp1LeM5IPZyaVekzyP1AxjeOD9/OSm09F7DTZ62mBPDvhXCzizF1wGmSB2OiQdC7WXiasDuqQD23yURbvULrMob7xzhD6wxdY8nBG3FifTU5iGpkJY+SJBclWuzhsWuvCcv/WjKuHdMkqKOuA5xMUlZ5PNB9xKiq+ZlRSl1a7YAm/HQScxtgHbzUCrbE6h6S2RLEcYD4gRewXvlw0mb937FsV0PVPuV8z0kuBvDeuY3jq1m+h07ZcTJT9qwJkCBkoZjB1VPn7NRSUy0AjcLgfbqTWwRmxqHE95s8JnL3/AH5Q3ipgjw60Erp+ygpgzDBupk0caybePulFrm+FAf5/D7JYN9sCEtJseBU3vlRBTfnD4BfPZ9AuBMXX+WJnAR4bamQzeklvtj7SWMdXJUlE5NqBsMfCz6R1KCxRhlrjlgN/5G07eL4/zSG6pWZ/RGKWBMmdxWu4kxamQ6dHduwfwtyfUWv/WQRhoZ2emlZVUrPMPp8IHTiQpD+255ioVnF8YRON09IMc5hmMxVs7eFJA6LW0VVnymIHN18AHrLcsHs6fjPOgtiRKI+Bvp03KQvWmuplycQXcGRPmWWL0gbOSPbfDDRvbIB+UZM4ykkJ+q0KloCHfZ/ZBU99XHOkVu/rn4FwfMN7WWeg4dSAGcPaghV+qYZvSaPFOcF/ERugcZHAHpnbonwfW0/G4Kgl+4KSYt6GdqbXs99icXXH2Nl+Td92Djfx3Fv7pnqgqjs70FKYmpps5J8EeoAOcI3CphCmVwxg3lz8bIDyHgaYFtZNWgQqAjUoylC52SxOzyuPrjw0avj3r6+boaPBj77oi9xsRJfjaSZ+jpJcRe+QQR8y6ezliWTEbOMtzmEM0s5CoogTVUXsgl23IVvQAHytKZxtB7D8c3NarncwSwxbVod6cw+vtaBPT3/5tX9Kc1cXMHvJB7zNbBqxAP7jzP4SeAjbyuBFtIOO/r5pNMnOS79L0qHd4Dhxhzlwd6gDvpdg8GqrGJmirxkGB6PxLzaeXpI0rxLtP8TyfA7QHzp2byF4Orn8ThXZB/x6bANn12riMmfruuAKGvDF76ujrzyIGlagerbmWLxUoXBYmX3VjH6zerVze0t4TB1v9lJzdTtT/X9+lyPhOiN2WJIoTkQc+qZ3lh8aKikC/WBC+gPO/cSFf2ej78L4+ZPhcmtfcgQ8RzdAmamw3wNP2ieoZYkueD82adyZf0mZVuH2fAb+w0Fqa0L7zLnlVcbak0X2p3CTnOoO3jzg8j6BRb8FcB3bWHotxkelyA3rYL3Wzki551sAfYA8laLcTLpKCuvtbSuWNrIpKh7/XD48VT58lZSsT9uNMgaQLXpR9a4PtHIlQL15MhDqmnu+UZbQNwebtit1f8P/HpuAfDbCjKJQ55/sJ2mCvHH0VTBeZDYzj4CB3vHedwCPoC4+7zWL6a1fId3kOfEH9EXz8vbL9Z87mqKTA9U5LQC8gNtgHbnkrsHXPhf7OinbCQWYL3d9SjVmpk0/u6lAUpKvDmUqt3n0ePYjVmBQQh4XizZpZwCbfeQFaAyWVGmw3N7lCiAeMTwHEETvjJFZ24wBDScqal3L9ex3KzvQfzopmPcP7Fr3eNEiezj34hs5/6y9OIw3vQSLQi5LZbW7y6UngP07cF9nK9wolFomAn5E+Vg56gOZdTP0XLmRacr0DreCBLlrOxdeDh9Ihruqy/G6BfVoQx2fK23fel5MKsjkJ/uTjhM+9LcnKbeC4z/OY2pVI5jTc3rmYEWPJqQLPxsbyhS1vJhFo2gCTSjyXDMalHFCrGCpNbYXaBp//2oL98Dvoinc+wAview+YDH65Ab+kzL6kS8FOjm5546MGtcRNjeNBrXJRhRzUkPCGy8zY73HlP2nvXQVHkanvmQb/9dAYNmuqVX7e/XFq68/bH9qkJ0G+apy7wM/A3zhCO9AFEBpCSxX+AcaYcsFjMQD70b1XF4jn7iSIwAR4066d7YGIKTI58JyiQlrzlA+YpjxpzwV/NUy//fwGD+2h4up4jnRmepcqna0nKj/VIDfZZQaGSRfSLztg96qK9s9yaOHdqekc4h+5oqm0sNn3ZhBDv7mlTmavNO/tSfVJBLPIhzfxu+aAbdA17t7OLPDNiKd8QKDByzWPvBvh/ufR+dez+tE48giMteFhO+UWAK2l58ZCJyXse96FK1x3ZabGv01yGfHJ1E6tYD6bPrq/aw6sX3mRedTkG4WtKXklS9qSjM0j+NYb5n7MeBI0qzRn6x34eSdN/a//rwUyZoUiaiWfxPqzZty3AHqt0pnvdNV9ZnqcD9Zbw4ZHu01ysX3JyOgh2WJL/oA2+KGg5c2aT44QF7vtd2aVK4nTFwH7gHGdlKn3v+pIgq4zfeOyAVnSwRnExpWtZAeC0TkP6JT/7hPNp8ZF5BxPUmifAtM9S9fvcxviSIgL0OWMocT0AMp5wXfc2thl7+3MOh/dbU8VJ5+mByHoH6sK1THX/KhYY2PKXGJ6bNp/rYP9ex52Z2wBdyQ9OjMpBc8khxjlyiQdtc0LrWtTcQu0GWN64IEfQtwAu0gqHJAyt+yHeQbQksDP/gj2YPqtWKCFrhT1T2b8/v/yAYrTbobYxK1Uy4+T+HqKyEbnaDF7fMCLvCAuISwkn7lrcj+uYHdk4a8tVmvqQZzKleCHinngN0Oz93szZ1zAfyEqrBen2Kbdb32AC7zfQLqkzVhyzYblXvXpqxZ8Vzn3G/jpE8RQLUOUQ9x7cdBMOfUfDcTdjPMb6CHr4Jqamsst7fEn6OoTAy1o6lkqJDPlKoAn9L9apqOyeG+nZEQHEYNvccgTtM1cD/D+GRqorebDypxMbCzQRx9HxzM1QBzqpBsZIV5FW+AtFaRRO8mod2jUVqWNfVo0pu4Fqu3kXTvdpvb1Rkcyg48balCBIlx2spAn0PofFN7/uegXiHj06GZLY+r6cvQC9qbY8UR6mUuBTE2N5gExkRCbmTo1nQhN/GoPEINkNvyOV3rmaMx7L4F3gPI1u53ZHT6PXjCbAukst6MrbRXNr5J9mfxPGJdpKdkSlczUxkhc4LpIMHUR2pz/lBAHzHkYTMDH2qV1tfP4673OtheRsivLPh5dZeqJ9Cm4hNxCVdPbLoFnEUJhU6NKsfkOevQggadw5LXK9IYO50QUaF/b7cPktgpxvzUjFqBXHtya79hqNor1b+1gK4gblBFsarqJaKnAUl9gL3k2qDjXbZTGoS1in1bct5mFy8rpHxWbIuD6lfQTCF0diTAJs0LvwNemMG6dGmGODJN77uQE7/q3zwgGRsnggTOOOesToH50lWATJwHKMuIzxP6rEPB7a1syXZrc/UAI0IWOOjbDlshBXvMRdF4vT8TU/eyvC7DyvzPkDTyT7N+aaGaEohPYM/AgOTHX56lzNXX6dRUtYb36nyT6skqmnjAGP0Y1UqY0aCKbFf2NW9tB0d5NX1u7joDpGTwfNX0eFwK6dqCrOW/+rkd0f9QuuRwdsuQDihu39QUjjzxCG+6Ga1qgru4nL3W/HoeV5MDnn6AXbBL961F4zXoJs7CBeQTvFebAcW032Gqd1NSgiZVMI+zUvf3e19udOb83oMuIO80sVhnElYtgs6i5qc9M4sqcdYhBR9kQoxEaQVsPpwAFpq1fNeo9cyet+v5V9pvXSWi4N03hOzZwzCflZh/9t0/xQ3apR0wPyEKtVa+DnJKBAYNlDnBIZN/BJmYBnEbZMteh/YK5kDTOdsjcJDFnuWsLImCPOrClsnZmVIIXbWxSgR/aV/18L/+3tgyxCIeZZWrntBsxcpMHcVfhPBEG1im2abm2LxziOdf6DjHcMnWym64dwI9XaXh/pc72Bnxjydh/YfChNEL44PKkovwuuVopSt+8MQFTRfDeWrDZsqH6p0FkJro3vQdXs9fHO9QLpEzXctBp5AhxKs2tpKXhvGPWDHNl2Zd9MgveSjy2JUH8kQIn5pYnqSW9jLfvdbYHMLFb29qvXb6hbuo2PDV5PuBPQEMMUhwtfE87fKkRFtJNSpN/IYrWOontibq9RfgkiYVKyqXMgNdSh0+c4as0NYAj/pk6yfsdEjJMXVVcTb+BHGKyT0NEKk1S0PWgTMyZQv5JXewZH6xWTFQ8+Qq0Bfj/Iu35bPLXsFgcps3ZkSmuqS5Kd78wkd1Srst68N45txEfIa6G6GbO/Zx7U292up+75ESsduUh7qSdPdSgUlPjS2i8AR/li7idTc9H0Gb3JkJFYzUrxOvv8+V+y3pTPBqH8Ly7mja32nqfJ5pLGpOxstWE2TTlon/Vo+/xCJihI0Mj0AVY5JLr0oa/KUEbiCqUj3xo27zwg6zfbw6rHmrRUuDI5wkhiNmWm2r0IDZHeY88gsjveQcYz1YwGB+G47oHyrW8Po22KGXS1O00vbZ2hisZ8G1m2F2oohz3EMuSlVuJqSeSmPNLOEajOafQRN6+WrUkY2jxMTE+9F334Frm206O8sh1+mBseye8/YS/ac6enYBePWV599ramnPApmdTWa3twpiCK/510mEPGhbZaTHJKiSIwXxugMqJmHE6mH0j5WD7dy/Arbl+UdbOkoZP6WqzVUj4Wj44Sp3SMfk4ewdijpOZ/abojyfi65N0GK7tszpEuwYYvQIvQjT+5D0huJcd6KpnKtRHRpMg77fv+hs7DHyoEJlqpx1LuF5mmT4m5rwEItzCT9olqaT9jRUkrS30NL0seKDAf7DnKUx+pLXfpGu6yBzee779rh1Tw2GagfePKSOjqYv7Xqus7MbUKzJx1lI2zIkQj03IdzDnvDNwZ2P80gD81vOn0KrDwySqWAXw+wvrn5YC3jmH016F6CmQrEyexLlXO7ChsYaf8fBbOz07X+YMfPoT+C5nndSpizfUmZbcSZgKVccd08fty5wBledhOebAaCUHXztgj9jqmIKihDBl5WA9jYU17/TawDsQ3d4j/fxRWu96ejO8v8msW6+EtVamzamlqWKDGtMgueZh86rZ/kU0CbnJQWD3BfSQz9HkgAb5yXkrmjFbRT5/N9H1lqMJwdy3KkSOypwZs9qF99t3PltHnQQTe3IxxOGyAPsM9bF0kxtw18L5/+911sN0xQHMT55BXPzzOLy2e9Mf5xSVt6Mj3/XNUxklDn/NScm2JsnMPQk0yeDdt/1uVcP1ppBaUsFtUOA2zrd78H3Wv96QJv9p2GzytbydQgRcYnkq3w6V0ZuD3OWivIE/edTmrL4zvUAj24p+uQrY8bC2WnSqPAGNvf2G4so35zqY6b3OUABMZux9ZM5ievhkZT/daUTu8Lke5qTGLvg8iFi4Q89m5OZMYV8OvfG532dNHO72wMGTOWMPdr9M0lp+a5hkfWjD/L5VbF4k/9qcAnzFLAM+8fbg82x4X6KhflJF4Dt7+QO6qgUOXs6dftSjfOZx+To6m+W4preTIBMwpqd6olXIR5bPDGLUbz7AYUVHGjJPrjJoKH8Syh48Rp3qF8PPKXA5lQ4Rp8ibc7OeYsvOlEivQ2ZRW3ccbIaNBKcIt+B7bHimHjSqybvWnOvnOZLvvC+Rjr7pDb+Kvg1OoR6Y0e8DcrkLLGgpnnOUEBFaoLdQpvF6Crfg02dUr8Be/3oVJoeaASeDvoHfpTWMG+gKU+vuUgWozF3ytuUnH9Ed/jnwLCcJJJVx7ZWWB2JS7xprXsSgg9oJl3yUI42TA7FIVIE+UFG44DgZz12rq05pGvtPxfkl5z7YOq5As+eiSMYm+q33RZSLYT6BOi3wJyn4fA7wQ8QkpAV/UoeY+mhejvTO1NSDKUxFIE+nmPvU5C3Ce4R5vzmF6QPm4YEKjx2tu2v6jOGVp+XAN+fd/a2XbVPPqizCFxuTFzPztwBCAcWbct9rXHzPbJ7hNRmVw7WyyofSjcnh63KA4KprJ+aUFlkb4EdgRDGBn9t7oIHvEv1dMW+X2pqG954URT7Kd1svh/sDb+cc197U4/hQNhqw8/U4rv5w2t1dZiHcOMvnwfXdamj9CuIi6FokAnWsrP0zBT7P+9mv7L2reu9T8YQJLfvKWqZfW7Z1oBwPWDJpufvXAd6ocpuDd1N22rfmjP5MNfN4qDtity8Y1wNh05GzOQeePDKEbzlLPv/VuSwg7HaanTjQFPty2GU7izF5r6Us3FWfzYiqTOAUxmI5i7kDPnR56L2oHTpNYdZwseCCp+BZwb9sddMnjohIznp5YFb6zDu044y0pq9JJv48wQ5FHqOYrHoBbfker7l20NwM4Qv+rU08mT2SJ3HmquxaTsL2drDKmwjnuQI+rR3+KNd/ZxwGbGU2MHFHrNTlqD2a3kP/zgUFzPq33lJoT/TJk/bb9/oGJatPIcZS4PdbHt2tbMBXJrYUNKzILTUwm1tnlNmk53lVoBF8VXSG+QZ+tatHnjUxMKuLohK0XVZw0HcQ1anpsWd7mY0KsvL3eSKbMUkp6Ic6wj+sgznI/U8Z6SxlYGP9UpWDt3IqTW2TGFgwoGJC5zBcVP/1yjp1U3TvsWg2vdeTNCgdXuiY93ML8/2aDaA/kXzrFIDYlpS6vdau6bEK/NgTAe/wB6NWZx2QfuSVJrdf9vOV25lLXbSpeDvTeMKptTU9211l+6bOBsTKJTjFpj5sckxjksA7uZnajb/npBxzlqIdQV/jrAtXw2wClc/mcn+UI5Gn3QzaTn3Az48U+Ah4Ysqt50aJ9lDRL+B8bMM7J+AvNmpIrfy1zYFZUFWQXca4Kzv9u5Zi6iOeCnTKI+DsIDlxpATQ9U8dLR91sHezwdSt3e4lxXf876zH5EN8HGSfLSlV2vSMqEFDgG4vlN1y5TI3B4I/c12J4fmqbfx+rg2l/SNbFVMcH8B/+SXDruj0t1zVbHIN+OjLSqNF0b/mvP6Bu8nhHDd26UokmGfxTu3A95n6pLumYA5wAvif+cIDnfHg75Pq3/NfJHVIRoPk0dj7TeW2c/b6A/Y8VTKenuB9xqbXYzOoFfSblw/zmFtTQoDZGwuZmsEwLzY2C/oN67V17vtNxqZDY2PZBBB/Y2nJTr51yqY2va6jbAF6iWSEY+D2E+iIK/jwh4mVwNS3RqilYfOGWFuId1+mJ9QDYgfYnb2WoBvAhxRA/xZoOXiYREuYM7mrn6KfTf73ex7eTc4tN+e8R1/Q8F99XQ469m4ywNmI9pkjScOJqdtCOOJpdtmmmZP4oI3FwU480BAPMWzHvCO3UmuXRqHHTY0IgT3uoFvm/PZDjOFaR3gno8lOqbSaq2jBtempNZZrs/o+j7MVg8cy57rSzjACzPt/Xb7wPi3+j6mz7VJUV/72V+JBeo0vByEgSmxCHiDvgLgaISCttCKf/q7MPvb/PmfN2rv36lFIKlXXL6lUyb2MeHkO73bdz04a2S2JNM06c++nBY78uxEUve1wyJlHG4FZrX2nXPketBlEFAUKM7Rp8bXKAlhpNDUKSNL0MqkEyeoRUGhAJ4K+llMkYW2Ty+E1R2DrD1lcFxaB1uj1jVn9hlrt+54Ub0K1o2BPJZeXKvZX7OBJ9u0L+N2CWLtmA1nOo5wZbx7A8xQjeHexRSJOgspJEtDw8McydpLyjmekQKxm2x/sqB+1gg5z/vxf3YOCcAk2mBcSkbD0zohtRND2CmyutHQP3OVnDqxV2nspx4Q4U5UL9H1G062k6gAcz5mlpirAPO/t6OBAfGRtDCxyPYVyf2bsvacXkbhFONRRGuoyE6pjobJra+8om5ciUq3Sqm8Q5xXwY26hJBPtg/bJS0WYVs5i7gM6ZN1vyDA/GEfA4KFzHoFtTM3sYfPgvH/nOVzzIQG/AHotXNKc/gX7BX8Yog+JYD46/0Qo2ucWXhrOkbTMPauEEKZNH8QdtyDGMPTInTnJh69nEydLLpLwVOxB1yQcPhP00u85LM9DG1XInCssY84V6EgOWmH/KDudE9BbwFDws77IAn9LG4mjo+1q/B8DODIFlcfkiIW0CSM9otVuFo3V3+oARRkF1WyT8X2+nILvSa3Eaxg/skIHTec/K5OXEk0b+M0ud7avpr87CvwusHDLEWphPMOMef45gmew/iww1gXTyUdpp14mdA+xzzN9o8TQbmqwkf+9F6rNvedVZjyaTW5/CDw34SHdAP8kabR30oIwXkBkYM+ndBCQc/uqRr8EJjV59iPreFqtiFPB75RdLdWhw386JzUnadaZ/vYmYPm6d0S/zZjwXNAo15PgPayz14n9eaZDsjN5+uDBCy7QDwnvC2bSqxl/AGfFymZu07WvnKUvEW7Lo6mF78isHmyhRPLAHC8l+NH32U3VzyWNnmA1PcSn/fPgmL5KZs+KIFMTJ9WgncfE9IGyIL49ZCz31fAF40pciDE3GJMfytl61sA4lvaUBv8Ktl0Bd8L7J5ml3wyQ56J1Qf8DEJt9/fYiR/JxRupwDnrP1F43tYrZ7s8G4u3H8bXNcpe/mnxr7ueVeZCuIpIfKZMnBssMOAoULUwnxR0wRJAOpraket+h60vHLljsA9tqU/tYnjspmLMtcispYDx5pa8WsMFaujiCmLEoYHw62FPD0e3EZnkquH8e5gxiA8sdO097XDY8KWthV6Y3ikDX99nNvRksm9r4gyJkUbBJc99LmvOskPhp6JnnBhZUkljJvYozJxv1IGP/XhofGiUR6JSiYtattqddbmqMIT868X95oI+s+3qKIXyvL1gX6MaRnjLgBCL6B3VVzqz5uwQ/UDvLAnH5Ske/aBj+BIYj4IOpoHIH2qGXTNO603GD8JqNpkdG2wpQnrkLtuQAhw73zdF5vt9r4RDfqdWD0mkPeAw3ItKdCI1m856wvudTkNBzPpte6nkamZ/9SSFMz/0kRewLcZnvlTPrJlB3uuKDudvKerKHMWG8g/cf9Ps8BVUD5jxEp6rgI/iGSjCIzzYOTK3FtOP7s0agIxL36CyHipXPzNlbUiwzoaBDmc3Ssf3GnaqU6SFi+7bR9Ir7ZcZ9hDWyZfB732FgXXKrwyRX0dSmesIq6B8nlEx5SK6p0C0xffO6vYVd/Vmx7WfqTBvw9wcZtFoF+g7z2pVaphSVdiXwD2isI7PJEWL1NQ/ZJmfbt3ZwWIS/Dd8Bw7hVD34hSjLgAX6mOgT93wM7Bf/uymg5p+L5YtG0OzgmPxP3wMXARa0Q/WKdkH83PWvrkbk4xi+hfdCYE4KPebMNZYJYRxvJ2tnadZw4JTOxnxegZeB7wTZi0Cimj9o4BanpiSs0xBz0DTxuY6Y2WTHlIixvzVo+uS2xGjU8UwKc2Lwah+S5M73jF2hBfQUd81IMMyGsW16g+WzybHWzUXE7cHsqQcOmmZiAy7ZJPeoFouuDuclRUe6BfrpW4XMF3YskzUyvnmvptk7TJT7EjCDnvzUxYpOHXbE5aJD8zFxiNFx0jvWx1EmSIwSkoU+CzWEV7h0ilhFiBqojr6iQL5jpiyHuq+mLeRYoS4VElcaHskAeGxR8l3erou37zuNcWROuAkKa0E6ZHa75mACbT6aGCUr7KSDAsP9y4bo9cMrGwv965yYt7fxYrv6pCXCZCw3rYR6rKHRTge4Hm6RA31llZa+G43fdHlODbwdrQ2TjXxviWNUgbXLXplMsxblIYmLrTrmTL3pvzk0NysFOOE9OpLeWbEWf+YgWHIH2GhtbaP4SzJw9JPvSAQ4FRSiCd/35WRysqyUYucM4B0RsD4ISlg6e0dmVQpMtWbOwvr2UTFmZVglB6bO0/emsTRWBGWVWG5xHrQlDEWXt7QhegVM1ZMMe7MnfgbZ+M9sKPHLi43RM2TyZepCYJy8YR4lthGFev/OifWJrvzn3CjV6ikC9ljW/3mTHwD7827lQDg0QVmLZwDq4UbHcwHe6pT3tWed/s0C+/QZn3b8zMcO3L671q7HwnejeAxm6wSufQJePuZ5mUfhhA75N7e6btAA9z9AqB3uX9X9WEvtx2t8f545szqD9D7a/h+cOalveGme+vfccDqaWuOV5WNwf6dp4594CX/9nkb057/dbJZAExYZwzG7SncqjhYHZWpcz9JPD+PCBQHxMBHC7Jy0lSzZdcgZyaQU/BfpK9vK9pzdKZn/iWEPst/cK6FN0pZtRVVUOsphWz/PQepihq+lNjp3n49+9kp6YWt3X4+sPjBmWZr8PtNWHpKo/vO63o8PBhuC5zd4n/c1b/sa7mZ25ymWBTJ2VoQktKx8nQUf2ULRca45yk9eHEbBHp314hgR4GOK7enC2gGr9+pfrA/rJ9O0I/tOBiKigXBnyMzmQN4t+nDtTk6sdlDY5VehaD9e1cu4b3EunGfSuhIB0Knx4Y3UEVgDtCkQIeqW0rys2fR1WzIi1Wc7RfAA9Boy9fJ7FH+/o4PAkJkpZ8vZRoFsa5xyaHoj8m1jeg60SfO7+WRaSVHZrYcp/wN3PeQe4IpZWcbaRtlxZaD1IhwbR7Z8ymsB/JB/ApMANliPt6VJRfqRgTYyrd57eIp12yobpSh11kp1/BQYOakeDFvGqFCUJ+CxUj1/PCvTDOfI2rEgG0I7HbNi2ECPlOfb7kvemhhkC386rMClL3Ya5s5i9Mgps/s4juosQ3q1IIPbhVjoaWJb0NUquJfjAujA6AM0lMMp5UMAm09wI06ND5WXXQgwAzTpOrOoTBOw6qQD9iMEOBFseGQMvYNljE/3Wdo5zOxnwqHcqIh3ukoGIJKqFYkebDIJtVzZOB3iOPh2wrh3vw/Q7PViml988mPrKwHaPoxM+wF8QHPAfsLM7d2DFr+2pXokFPPC2jaN6bW/U/ruWwvTITYYjfAa1W1ZbPD2ufMav7YF3zAVtXOIAYjyH1e4Sl9EE2K5cZSTTE9vuVdc68jIvp3y+NYHUwI6PiirnFHnv/Y306IJODL5uKuQnYNpnNcpvLLYcmDRmBU7x5Q/4B1LllxnnQ+gpETrgX/JMbCtY5nbpWC864isZySajPoWxaHOTYxr05t4kcNPm93y57r4M42vggKAJZ/sceg8c4Chz+SfWpZtzDfwqUxFLnK/6AOuDnMP5Uo5/X/UoHxxxc8KzKlPzRKhvIIOUDsrO+nSTd/gJ+ue3R4ay9QRjeoIYWpxAd4BWQw33A9Krb+YstuiVh/X0I3pN03BmbNVOxfnO5F/nWvZE6E+IPWXTT4eMm/r6JFHCu6lI9zRIdtzx3jqFn7X+Sam6CKQmHm1vxNRL1PDHxjcYBzt1p/a4/vUw6LfUeS4He3IyYDM1WO6JJmmVm1qOEyggTPPCN+PZl/kfVyBgCZMD9X+1dA50TDfcWvKafjn5gKu64B8y0pt8ZZuGza4YlsDUaTlF6piH83yi5PNMMapDj5aWbcG6B+3S3ojdgLLEohyeoJ+lk/JWAn08sjF8jyFubHTFltyZXLV6TYpm1Tv2+rPkETAHxTbrp7mieChpc6v43q4HjUra0pK1HY1QJiNui3zOVIc/S+07MB+vckDg25Y7dcnF1DB+n40y1PoE8cNZLJr20x502EYEuKtDecnHlubDfK3tzAZmj0CHHHKL7wlo8ozZLyZwC/q/F6G645hcaluh0ko2dT8bnbxwiIVV4b95gwLjjeWqnrxDH5XDIWZ/WRh8CxdE1xb54bb6pmIbVaGKwR6+G7D1ksmltsFP8WnXjD7wYst5IUVK/Z4CW6dhuKYhmbhFOuK075zbGBZJW448qMLe4pb6TqMkJAh8KMQE0aOnpPxbmQLj/eSdC35Iw42bFaB36NeTRmDDL+A52//gLglzzefaRgHYxYmH4RNYGYPWuvz6Dcta/+2hMm+DQxyXnXKkTm4NBb0fI3qwOCEhKtOerCa/RzqyIy4RDZO9ovsXtvWHiizwjXsPdNkpG/48ifNnVY4nz8yw7m+t4Cp15QO08Gxq2h8c2eerLM9oehEXxsVqwQdPIfixlDHgTMf+aF4zJ+ZM15l/zlFmlQXe5wxPMmC3tMNDY02vpmtW4swUWOFG+vnt5z+4kzyxw5519NwonnjcTpImBj61LC8FXVU7WBLny64GvmeW9VAd2Z2YnIiLBLchvsbp61xonsfXB7WuYIfLdwZ+C1jUAa2OMta/zx1G4LdQFOipXne7ilRGumTmvLRrQUrQAs+S83s+mJydf3sKmdm/TQM9pUCEyuFPfJmdqutdyf/the/gM4Y8SAbgku/UTVca2e/93n/1Q1UM7xxpJC2EmPUEm8Wmn+l/925B1yjwi0dn8zA9mrMX6NLXHxd0XcZCG2Ptmz2IterURQ7y0AToM91tU1CxwxE4B7P23afYleMEuqu/Vfl84jEBf7gBlmQ3ytXtjHywCeDOaPsS0bQCt5h+XU8e/7VOsR7OXZtR5/msi9TDsOYpWBUW0+kUkEixJZWmtuQo33dvH01QApfN4EnbH4LMOQXQixsuOayXspcQCzGqxB300NfmsIYbtiYpcO0lc5Z9VYSg1cA3v+afJtq2B1eGZ94WZ61WYXzY4A2M6fc+AOYoOVAXtUxoomKcKkd/AFuHcgifEIetasTP2m0rJUwfjO1FcFLRqE1Bn75Mc+dqRDYFJua96ipT04DrHAhjc4rBv2oFPip5+94QWH6fDe0sTX2Gkcfw85MIeTX9tEB7fWY2vFfRXlIHM255CTA7MfvR4Jcd8Ao/RKMFIv4iw4nRgBSVuWvULy0VcylNTY71fdY2t421/cEI5TiezFXJf7UMwIZMXdiwtKaEi7kymhX8PUyoFBxNN4i17ilQoLXImNp+Wln2Pe1tlhXKpTa55b2XQQz9MLk+wBfv/MMnKzLTh1XI3Z9nFW4Xtjag65jHQl3Udqvhd5eU8ql0vJj/6+33d3OwtmGt+YVFyWo0XynkCfetx6lv8qeKpsOnCrRyrdueDfN7DOOSNWvTZR4Jy1f92lqS7R81s1GO+MPkE3LxXFRxddIYu7Du93I0VYa8ombA2ByUuzWnajVnDSSvLHXDtvqkoWKg5RHotajsy/edx4Kb2r297mRoF2qcekKBY1eUV4GPiGPq+iui2LbA1nLkPT+a3ARKk0/MpDzDQMG8mXsWAwl0L6ip19p+UAsDkyzkzGE+2PLm3osI9E9uS1hZ7YmE5EPR8JUzcgUt+iGdZK6A1bgzg30T4E7ZnmM8pp2/rweIwvC5oPmTVCezXPHd5PKchXZgnB/57s8Kcwv+cfPm+Qt2fbt8bX9SjjQLQgfHySdj4Mc75lCKUh7rAza12GjqVkJGTS8PsG5a4LFWjfun6tmj7NHUsM3S9C2hTvpKKUmlmxQsSl069u/6AE6FSNEMywmvyQnz9ojD/Q3++YkdPKgx+U61/yERuXAgGlMbEXf7RxrLDzq0V8W/btgiH/D389QlA/CXn1q8IjYP0ujLq2N8r3/58L5C/F1Khm0ehxbwHXAUsXA4f9ds3p+jtsVcfrOuNzVKdrVlamwiRMTdavo5Bj3WpoWf1yb+WUkLvu15sFoPWA+DXj2Bxj6x/+tbwYFTlrNuEXD7nSGIg7GpM2M5yiULdqYjdkxNmcnPXXItXzNoVz42bDE1Tlxpt0E2KifvEw3rszV1AZRFLgRND1KgNBtMX0PvfZ8oAP/YpuJfv+a9sv2+CaeBu/5PHZN9akMs53IytaOAZ1g9tJsKbJz0wPvx1RNj4vBOvYB1ZRWbXozyBuslAXuGiEMO5qiijrbv+KXP+YzOYYvqiOcH6+7xPokgBkeZrZc0kvDcbQZUENOR3JtwOaTRktH+z5PaagIbKkFTQ5xX36q3P9JodrLBcphYXLDBkEGMljb+/a5MTOBj9XpY/R/gjJw714fQaBRBuKTARKBjaaM5qge7INH1kVP/BhwEayrBquiXJuSxtLYVcMcxNX1oR7RL436FtRdIcy8UXu69ljPLzqqwhTivTS0pwzPH2kWg3eapRjLB/Rb4TIlME8NSvYrUs2TJ0tBkygv8ymD8YKWZ3uozNncQY2n65FRnJmNjS8RVv/kbmHmyGmyPWXgExs7geXLJvlyWb1cc9otA/NZECubdt0RoNLF/IabupNP6oPmeDSBFbXn4AHG8Lvwr0Yo1lBxojP6thdoJ32eIP6Dvy8rcNRlkDH5go8CPV1oeqqjV/3LB+6fNkC/w4FHglCfwns8ouihrHkG39yb3hDlqI0c0KkuNDSgkZpNEdNohnLmZTd5nN3fwoTaxVCj69puIKcn6P27mqB+s+w1FfEc7tDnzEGIDrFKkN3WETS+WE474odL7J8TIzzwkP9l/9Q5tYAVzzzHJGX9UFjfn2W8f9QS/+/yvr7D1AlZ+HG1zJ4uHTSdvogCuAd2ZxtwtXf2k4dJzawuxjkzlSk65jceDWxqNdmQmL2LYL+AbcrXiz6bHdhVOV9rp9/nXM0VKipCtoOXB50l+HnHF4nZSa+8KLu8mt6C0/X3m8FxwFTXO9HMKpAfP9wM89pENnpaXP96J2U+Imf/q6IsBNFEH8cH2w1P+Phu9eyU1Op5DPPZ32TBJiK8YmNpjnASikEtT7B3M/eLgJl7e84mF5Gp6kmZM39hKRsmADoDnRGTqAdxtk1cB8feB1wY4unyo4Xcf2zkFyZVR0oMt7Zph7qrBMmcyHHR9l1mkPNgkajj8vVUl5xAPJzR9l84k5Lp3SLhfj2u5qYS14cCq9TCXvAOLRqg09QZLh5hc1XcODMy4d+QcWIOp5cSTJ+jOOxfJZ7mWD2D9srb1KK3WVfF0rO2rCzNplZQ71E4OB4iJwCKjqfnZUB6VdlvwUXei29vpsDw4aMjSTd55X8DtnKhQFRVPbqJvXsC2Hl39Fg+bhVpLXAtcsjC1Bfd/YMI+wDcZnqgy5o1kzF6c41EMWy1NH1TatgA/CcRB4EuIGbttW9nyrR0W6ZCktkkAa6aXKwdb835Ah2FpLQJ8whHHOIax9Bo7eaRsPvJ8vnJrDhj/eoE+PAFWWjQw9+zKGw+k6XO1mvuF8l/+hv/KXJK+9w/BBvZi8NxaLBv4rB7WYEwd7KvQS8xeLazzBbSjn4YyBw17PYWJIyN7IrH/YNYM6zG95U5i+kO9gOsf4POBx54vjv7eJDL5Rc07h9M+x9mm5PiDBsoCOzW5mb0M+CyHzUtethNhRi9PR3WZSya81+E1HxoLYWBWAbHNliK7KcueeXh9gj67mb62achPzQqR2s4eRwu/c4lJ6khPFn8fpOeYOwjGcG9VHAGPL0sutkE1Ziv4iRy0dMJR+3EqgGJG4IBOlRD77tmaHPCo7QpsqIlb/9xPpt40aVySgZ8HJlx+dYq5g12t7RXW8ZxHnp07Xk54u1PmrgpqTXWsQIEPpE6yE2Jb0iK71RHEsQ7eqcDB0bq/KCX7JsCfJFpAgzVL1as470mSF80z637rYlGIbc8G2O5fDcEOxQcXdfDWiTR1tygPq/Du1lGyB7bb0ZF/HF7bDtjKzzt+aC7bjpp6Ih3+BP4Bn6BDXPi26NhNdftbyeX1vJvfNn9ptP8k8eRIYc9YkCsesSUDeOIx9PhlOxNbOVW0tHmAi7J/PkDCwPovgYPL56nQZSpKt+5Ah8ZSHqz5R5l6NyF/5Wjqm9VoYvy2eW2eKafZBv5epVbJIHaShpEuM72F3OnbnEc1cbqRHb+b3MT6sh1IjEOi9Qv07piv5MPUmzpHMmbxXy9zw0caTceyX0olFkat+W0bH9jxWoJ8w15XviKrHHUMHOs1wr6VFIPGlS/i+kvNNha93C05oCiNyU0ItDb94qUD+pEcqEJPKGU4qREeRICyE1cB7dU1D7fvswCfjpgdIDLVDnBXKB/l6JteRigN26DSLcFi+Ug7/smpdImWn7hP5mycrkrYQR7zHWgHS/azD7FYH2wN7IKOYA+SW8ThjuXSWL9r+AfAOrayId7Gfl93vtOMvZ3a/MZh5TNqarLaumIz8EO6ACNsKgeTRoOWDWdSB+0kUfnkA3qVWj9BG1IZJjxjbXIKJTuZ/MTAf98pXjCoKmDJjiFT5699qR70QQ9r001SrFGbu+AzYpUTa0nPo5Sgi0dY+9/Afwm3+JGLKQIdOROO7hKZnrKlB9+3B63lsn5+nEDP/O+9TifqLxRpiBxTLpj+kb3X1iKJVcyvpd6buiO3xrk7aYDB/+9dJv7cYH1uajSBX/pjYaE3wBAQ/6XJV9xIpiX48SuxS+ccTqmph/b2G+AHNUOJYMKymhg9qjUB3brNwb/N5cXkYmOiinApnadzhihvxisTXMA7H01/y9RCdxW1FnCsI615A59Fak1i0PKaOnZaU/bmqIMY5oRwoJlAHpg7hafIjkraPOpotjKH2SpAKY3+OI1mKzBXZ2oVg+YrGJX3HPWvRhBXMG+qtBpBo/mpnmYmto4wefKhIqYeznvvC3Tlw9QaMX3om05dU6d1uQt6hi0JaPwQ+CiD75DngHyeGYZYoJ85EGmN9DMDXk2DdhXAlbxoXKyJn0eTLcLpiVf9ja0kO7rTWxM9RGz6aqWPrLc2p6B18bCwJtaTiPtHlc/fKXAtt6YL6J/M3AnFbMuUBm0hrFsq5jt3m9c534bg60+K4ktquMbZvCjPXudh+VGM//ZPAV1VsN47USoXWCtXrplFHQ48/rVm1tUx9Yia0DumEXdr7m/kQO5pgCoKuhxi+g9xE585uswj7FRWuJGx2jHQQdid5pSZPHH57oPwIyE+yqB3qyAxPUZM/z9MWQa+bgKikQ7jaGTD3OdBfzsPiYVNfydTid+y06wz+RftRvZbB/RTLyFOn5GMDrCKhek/1v93Tvs+dzgzb8kj0yseJyxElhlP4HBz5/5J1xT+n5k9zA+IgQ8Wc/uwth4Fbs7HFjPGw3Nneqz7A8TYj8PKR9alG9CleeY2NjC2g/+vRtCRcv19WJOMCi9MLVunl7t3LnxT33XNg68Hia8LxNKFsmmlnRlsvKdRMpSOgvWrTX25rlyVyftx1IA7FRPwj/5TXbbwjPinHPj77MZWq+7OWsc14g/T37EeyFFc5p4B2zPw1zWfiGAKxsXYl/yE9VWQEX/XunTJSOJTaLvpoGLgRxsXvDOMeeaKntkCv5EtwLfsd33R5LtZeZqbXne9NwLfTbmtynJYvk3fP2ViCMeHEwKNEchbvrZRyhrQXaYO/sSxhrkpppC76IPBmjqx7XAC9lKI46qQvCrQm3vNv9tcaGAyvlaDt5h+vQK8AovBnxbks479Cnjmnkb2nRXI5P0At3qfJscI9NZdaklVSMC3JLSJDEsqWLNqxhZ/wbhfBf+9T3RodtvLedheVNAiFugTDcjlaPEdc9Mn5fiejdzPY32FWDFVw3RhoFPPHGKo24KNWa/U5QVoyn3qlhuV/7mlwPDVCB6yYFaa//Hy/M9bL+NysHcY+A7YEFSqfvJ4b1emV47rBzAjNB/uD1W0JzESoOgkP4FmyIC/TY3Co62G027LU5YQ0IMDmOXjFFoPsDV9CrdWauqiBORdR9pohgR3oekDYYFOdRrXH46WN8uu/WyK5HUEnwFzJkrtZ2UPHODMgxr1IPrNeh5JJobnwleenIHT8PrXbiL7AkwWMWu5UgfE+O9ZwN0paRvJELQ38Bex9LeMm41gz4V1YK/F9GARmUFvUU5LrxzIZ77qD1PHOYN1lHZJwAf5abivcZKZhV/eiXOvMX3O87lQ/dVTnRx/fW/MvCokVj7YOBuelum91Yzkk0XmLHB5pRy4ieLPOjB3e/xv9ZphXZMiHdOlNpXG3OlTFchRUXqjK7uVPflpUJth6+tWdiSrxXsfYBZH4B56+eMwJD/AV/zIggDzfoE/4gI4YqWgNQ6WuvDwa2GXrSWieWDDEktblnLQmwzin8xNXXLTqQz8Zv7HztzEgXEHt7FlnPu/OZxn8KUZeO7a2jy5G26yEeYXlY8DRDiKpjS3tt/1mpj8+Rn0x+1oJcesn2PaNRvmmj2irxXYpOIR/jkXU58GyQ/45z1ZTW+o64a4f9/5vSln0+5ctG0T3Zdz0bzMbn4Vh4uZ61M47SBWLwrBmK6IgFYA1tBVznmUdX8XgiS859LKYgLG5wse2gWe9ZZyP4D4/oQYdD/r3x4ZPhV8X0XgR61kgs+XEF/v54G9anPvcCSga4FFQlxSR/aVy1PQXjvsqlNmeUuK+CHjyQn87JONCChtC3yYhMCPBcu3ceUgv1rR+9x8luF0qsJpJaZ/lZ0gGctvspYLc+yVhdsjxJZb404kN/m6o8kvR8lZ91Yek6uMUIydr5tk4aYOCcoRjohNptxssDmI0wiZn9857bcc1gIfFKhD9YPBYritX6mpMUzl8TwmItP+I+9R1VjTrqR/nWpEInOW15kmVxUuLRZeIXvrce4Q/D3yquypAMbOVdiCVle04fJ9b9Tc1zI95V0BjF33BBNre22QjjHzrmnBj+e4PaYCMcVw0CBFqObHhsnbwZamI6kFDHEk6OqVrF94iEHPIiIFDs+DZbF+e+T9b1/OOYM11DD2ZGClWNiYaWTuwpCyL21Yq6cMIEw6/JTbcq5tDHHQ66Wrl9SZSO3YJoe5A00FMSf54AKF4J+jrJD3UyyfaYylitPfvErwQxR0m5WjzAMNBrrY/v7Xk3D1exERegp80P7tR94Rh434B94jYgMelc3pOWqHemwpM3nMXUs4+GpYAxvcL0g5sioFMES0vHl+Vk471kJX6YpLztuf44pXMU53tRI/A97Cltcp4dG8x5vS5ZjEqctWFYmizUAPInN33sRGZpt7tsmpickdYmtgaramYv+i4fW9vna4974JTXKwJxvsfEOi5wb+bgVz35IR2aWdLdL+66QITQ1NSpjzjAT6AvH1quz2B7jeTfX+2bA/LmjktkF8Mv0r+WBXYCesCb7e8/UB+iqsAj6VwjZ3L145ZR4J1C6l5VKO3GGh93kq2EOO1w0P+TXrkvQclTCCf11m6V3Wo6tymhe1sU+EIrUNttjztupafnSvNzk27/hlcpUE75DZAzTnP87R7POsPnA5EHacfNbr1wbmcZIX4AjgPvg9l0d3i7P9Wl1mAyM3MkKkAKI9g0/iYEM0+lrNGabp71Yh/83ze+CxoELAARxPvNubTm7RObQJoebfZWVyu4629lh0Xai7X3j05Z6E/qjH6WlYkwfmXu5UmvrOIv57o/lsn3iS5czGlZiDnKJ33hevuUybrq1YoW95h+gZgS7U/EV6vRLQHScxizxoo5KjgIBdiz75bOJ2l9n6UDvWi4+qBK455pFeYS3aVSh/hJbAJuDrOzJUFnlr8yuNVC7jvxbVwH+BPtauv5q9zEonSTU2Txy2L/aaH9RRqF7bpwrnPo3ab0X9a9XbOrcRryheQEMuXOMHMJ0lxFQ2wtRr/rNR7m9dR9NfvAD9ooELP3I7SbJeZcAIOA+XrgZOJDE6EZE+pBu+QL/euB3aFZMI/H/OY+SXXLXVbi5xmCSk5+LM22fN+lsj2ntNNfjP3/WFzH4yDxLQU+mDO+Zujv7ATuuDdl1Az021eD4bRHLc2169alo6uqWRt+f99JMVJK7Xv86JtwvVySu19y5h6ZMzJSt3bwMn4mpI3zHlamo15GHmHRzvdFxVdlx1lg+6TTvfMv0Jz8HeOzoyNz1uSfzXAa1yYI4Xgd6cZSA3pT0Bg7YvjvyPdPRL5dgdX0mCX/cNdntHFfhthx18B831v5r9mPyP1+sxe2FbEenimwL9lXLdQiwC7Ul8iVCbuuRB7OQg1xCobRlVvj2aXCIVJp8EeIRFwGxR8g38dmvG9H2WXVXwHkYHnYfGEaN/oYPtgca8MLctM5dtcqt55UVr7iO1VdwAH+9d0HoZtbYezHta21NVF1/Pk7CvJ97c1MgZ6LDH0UUZdwhhzvTmqLW2SJGN8Kbo7xO7f1e2u0McJ63q5bMCZqn6fmXmrMn9csXY/pTr/mXuaJTgJc+DTRWzHhDL+dFBVhq2qTA5R4FKRdcmwOngH3/PYR85eGQVblw+LDC2yktdxYE728a5WmnvIdB6OxqoD2WhVYKuhj+f9HW/1ZzvGlhBJu+3tLYV6JMn6Jd706sN5UlOtNZH0Hw8vr7vcZi6TLDmt1dg+GMeo7bm2G/y7Uztr02zyhmY+JFr058keeVaeeex9EBHeebMiqKWV3ZqVa45w1t0E4UWBhaqXfSsQIcRqhI6zO9zPfAyKG0KsC0uTf7w5ui2ssy3P/QFbBe2luT9LWVTWxbqWdsc2A4fyQgaH4G12e2xDhQTMUY0lKdziAIBzyXCJSzNvWDLo0zw93fFMIdLFWBpahBh5BMGijg3dUp1cmI2xClhL+Z8LB3aqTFdIAJ0An28AAOUB1u1GW9BL5IZ9C2sq22srCXI2PKpOAKW3i7MDX9rwlfOElSFwrUDgzzoS7kiW9nIylbpUooRi/obCf9szujL4SN5Vsx7wDj4uenhspq+cTZnAny/QHEj/tzAZ/2Yeo+5dXUIa585oPubAUS0fUg2m1r4OXW+FoipsaknwF2VUdDh50J90jHBmMoA+DGRa2qp4c+j6rc+6/dP0pUPk1siqf8hQ+acu2TEHX6Vo14yDbqiIL+9q0zfqTyU8HcT8FELxF9OmbO9pCLJ4ZlkCXGKW5jCfD9EAeM6Il0Jk5+Jdmcm7argD2rLXWqhuWGbDfAF2G/mpH3jMvjv2JreuvJSRYqWtia58Dwx4Evl4u9K8JtyPD/Nt58i+PvA4XailKTcncamQD1jkvMCg68kpv4/xKJwqfs5ApuTxDJdPNFM+CTqOHtW/5c/7x6t5ybX/lxHdlFSxdNQCtr/ccH34pr9sSF+/CiqdrnAJWalDeNNGW1c0J5Jo9FnY2VWZXnorBMJWpRWHGl52frE9lPQOD65/HnvObTV5e6pwfQCbDshEoj70jY9WoA3OzzILA2+XjUwDV61bfKdmi4B/4VK03MnF/96BGlzFkQLozkwAm3alkLtTf72wZle+DK/bWMUjO+k8CxsdidGs4dmV9jFDujQk9JAu538yQN/gP8uqMYzHzZLbnnkhKbPDFi9dtgDYnPQMMSImKuDffVIdPcathxEp2LgzOqd0w5zNKSWjVWceece7GeQ+lzgD8pIotgy/ZeLrzrgw2vpylJxgmtOPqm4Wqd4ykjcrqdCMpN/xQfvpx68OUXNCnrtmxQaV9Zvj6ebHBRT7hQe1vKmAh2mSIGoVwj0/gia4ZqZ3oACfPvlz0uAb2S7eYK5vynLA80o/9Ubgpj2cwq+NobRzK0l0Nag15NLHU8Htb57E9w3GUsymKNbZScFt9kDmK3KXVyURVvQFW/U4LW1zlzBLPfc8U1TsM2JeQcaw1yCzz84vQP6OWSMZ//lMesBfO7T3KnLBhN7k3cODAYt6AE3UTagsnKTmRdqPvcT5aCDKluDR2iTc5B6GN6LheTONFkI8zD4EPDhodFtV9zzH2zuLvVfTlokkg/bT95x+J+Kzui3J1dJxvYGfHLLx6+VFCrM+d/b0dnYxN4/JbAVxI6Uoa+FxBMMK3bAvqjQam/qE3ML9aQAvaLlEXRcbmqGV1xD1J8+OVtmTNETxvHNAMs5VlflphsJ2kIWumhCewW7OoLoOEnw+SzEVakJMEECPk8HJOb7JmxJztAI8bkvRVuYfkdco43owPf0oJwZvjK2PP/Ls9y+8yoTYLk9vH9+Ztuh6cA+hKkn00K0lhfQSp/ERQXEq5NyEtxELSi8hIpYLefLvKMd8LSwB44Q+Jr2QYetBp7f017/iCHBZ6afCuz0zWx5DGPsKMHMbdv+uqmRPCiO96z3EhG1aRMkfVa0prbEhgeSn0FfH6x2kmLaHFeTQ4h96egQ+O3aaO7ViBdNYXo3INpoSWtbvvdFTe3GOxF3J31ts5LhhLLU1OS5gE0A/2+Au67PNDI9rdu1dvceaIonZZl1cCerLIi5c7CAzQ7AHF7ZEbdB/Q1H3soRDkWYeCLy3v4wOAu8gtYuILa0Z9M7pG8PYsic0vHG45p5bO1fpwjG0y03lbWk2NU+7tSTcgI+MHyZGtrpkJzq/t/YOODXWOq2njJ3ZwKdQ2x/az2WMtCdjoKYLj9OwJanODlmrozg2Y4wy2m1qhPLtxWJZoh97Akxu+SW2YciVkrZE97fbUDRgk78yFfT69Yrc7cFFp6Y6pdN5U7v85RvGZs7peVyCtC+Ao0La/eEh8lpRlhrq/4uXfZsAsTTQibZiHJsJQNoLAti2pXYwF2dHDj7ss+h5QLfj/AdUTlkwKj4RgskVbh/+/kY272HLWnTMPVK3fbUbSuTkyYLaXJQrqmzWHwgsSpKD9aQgPdJU5q4sO6dVDC31ihM7dYrTb2CNb3xUA55tGgey2sJnwLM8+beK9h4RkJvOMX7xwkxN+tDmNsJOE0WeaB+qu7vhps6i6s8ZaZehMA/1JFM0r0H/uSFRWbJDiEW2h/s383/6cgLgirtVxloS7z+3jf/V5MQ5pmkcRtQ288aF1EcJCG2SWvOV5t+vrCAZOD7n0p4Xcp0QqN5PVrS3CkI6hCRDGIxQX8fHPRyHkEkciWG+LszPYrK8bcX0k5SCeuKvEB/uWUnTzB3K3PJJ6wnUhdSKNrbsP4G8A8XHv5ZJVIrE8srGxsrFQs+IxVUgyzKfs5L6gPva78JG9B7dlKy69rQ7L2WcVbovmZ3hwN7qRWkm+Cnhv5dMf1aIL4CE/BH7UqTP3LN3GzF7Pk6WN5LadB/TpIoR9+ky3neyRGzDTDdBIzO5ybkEnQd4eh3X7Sr2HYsxfzTcNA50XStQOvTiBwz6g/g078PDvjHCNnVbssPFv85d6ptQn1sBg/sajrkAXsyYXlGX2bWEgqNA9CSpp6+m7LkChrnty/MGd5XWqAaguSjockxtczdLdKlBQ7TiGwwsywWJ1fJcSytzcKoMrWV7QbiJgeNyXpl/M6mEXaUhnPAe/sKNjDUNob59p8VetdovT8xm3UV9o80QBaM9SUbW302BQad1AXObolFQJP9WYDOnqW4PpkNa66fJfCxqCzw0brV3PVl0y8XzvbPsybAlqpVSLeljQn/res4HzCTiQrNGYOp89dmWUd+RMcXmFtRRVuYp+uGRtvCMFqFUAR+RBDkH4GLe2BAYMo5qgP8AXHQPYWYS3s6UY0GNhIL+O7/P/9iELODxrLcqvh6gCbmoEOeptZwLpCgztYFDV4JiNklrH7QrTkTWsDnfWR9CTYyrecOlWKw7+do1vVoeA39gJ+5S9DrEFMXcwb5tnlYqx6LwF+u+oOChiCmv0v8tckj5rIIn7iNx4bhJ3Ps6NzPR+x+3dKCZ5mzvZm6cZTJtWQwV9bSlS783BEO/ts+uErkFG1w17/vIW7Ky3ZUlkYkksBh+/VgEbAh9GlqzZQi2ZNo8aqwfGCxiKPzZeqaOJjyqhySidjwuWHbc7O5Pk5g9xw4jTOe318Qa03/MGrG5J07h52ndUL4+K9HhIWtmvocuCLmGsPfU+bs8oUdArqdlM2KC7Bz0HBzkTrXNXX2T3NuzpkEdpcLjSevFnbGKcbgk3Np2VXzf/ek5hzmrmRTn3F8AAa8wTyN3LLXKm77tLcv+W72xW4Lv2f2/dlad41b6tCS2l+Bt25gsxU8/0cFvFXZZEeY9HmHTD/HUnVgy132ziMCKtGMr3sHi7bLw8SVu7sFWnufufuXKHQs+uWQ97qCtWzyYxbVkQz0i3NwdE6irycO1KN0tcicFnRECGOwfzCwK/aahWRteIbnfO9jm96FNMA/1TCxfz0N3OwpUVue45aaO2pMQKTtpxB0QZ6u7UaEipVdY9dBCxxCAhGojxRhj3RJToFxzX0FhszZVvo8h1um2PUdv/Z1F3pStx+46JejY7+aUdoCZoVbCwGNOIO+Ehi47sRUwvrG3PWVudu450Dp49qOZGf2Xq8e+N898IRj9piOrh4ObuM0dmOZnnO/McVOMHNm8JW6rSPkV7a5T0EegmYbMuzN/YOb1PoFax7WjvdsIt2q3mbUnIcGfMg6lZ0C8p0H2YMDH5+H9KFCdKmNPujJiUJcfTObOYuB2CnTAH+fR9mlqzowirrKlbqm6EF6dSE8efyvjkhQj+3Ai6SVKyH16jPQqTZoTQY+/Dst/B+IS/hcpHY2TJT1wEPFbz5bmq2tOZMjoMN+aqREKsiT9onpE8BI793SWM2s6B0R9rbsn2YuBdPpv59N/17wyBF11KHp1ZhyH/hh61Dr+agsa6HAomxs3+fLmLMWlKu/EZftB8vvD0zJICOVA3vcqrh5Evh+xZJ7CfGropJWAzAImjKTy1e7fmhyyjPQ0MDZYIuqyFzgb6flTShvFCltxuw3N3VAL4zISC2+L8V2I03NqXi/ZPb1WYvNM+32tuKyAh1+zRgXuUsEKNBLXXDwKa1fi//qiOCBPxt9ffFhXmqEFjwmTxY+bTao3/sO3Gp/zuNfYCD8Aqbcm/pDwB/y4KieuZMDfFNg4FuOzN2Y+WT6GDa2HwGX7I4u+ckgjmFrDz4DBynP7Hz3x8NOeWP6aoMvu9Yx+u1pov71NOEngsIXK/Qsi8xLIQaRQedUeMd8kGnVa4/Sdq/yP57h39JqE87Rh3RkW8XslV+2Ye7cPdZvBxxlJjviJeIEWCXdNFr91j4SNMkre0IsnlB5mTEZPAYMvMtG8oOpujLRLKVGpQo1klGyA113b0YdAYV7kiI312AQqAddRm5gy0QUwBgBBhsqVzlsbk3gv/cBbBU1G2KZDvY8OPcoVaZ3ZIhS1ukdH4BuV7WemSQw1pKYGiTj/pG74YM7vXsSX7eG/blV49UmoIVh3kD78ewUgp+NVHIWLc9H1L/3AeTuzwa/4I/TukB5stawfkOIHSY3l7UD222DjAGb0uSOh+WkgOfOw+wcXE2puXdl7qXvZmTqEOaFtCEWauDCu4Sf+Wtb0TF57xG58vLHSi9/NrXJi9rdn2rlce6mrypCIRH2DWy7B22z5tbkszEhoIGeVdFG9GL6Pk47uv51Uj29wIL2HMIYEdNAHBKWWp1Okd7lKHn73iSl7fMUqCuP+etcXN26SFAVLVUTAyN1+FaFpt5rf+NMnUg/pXSYMGjNuI4x+NgkbZiMKuatDYxpXUxWxmbOO/lshknKkI/wHO+9Za5e8w9/zZQgMuUWbgXo21SgXWXuZGv1IIPKMiq5qYVWBerYRHLBKHw2sd+ZXoXEvtoc6QNwITqPU5YL75UN8pp1fip60rLg73tv2ao7BQgFmtXk67MMeNvzG/Zczb3eU5TYctyDdfiyDhMsGbmaev3UUujM9xuzl5cz01teTXiYp4ZPYCPmLpA9VrCqKtCK5rzlzb3SWRJiT0cc8guOkhf4xBP4l89zwRbu8pyE0yPVyY8ogEOc6ZO6MgZd9qkgfpVUJaCVA474DLpC0wHxM1cjyAuZC02AeU39qff5ckVsjESUWCnYg9LtvhlDR1Hf7Im70iUbiO8i1+WNR8uufs1PMYKWQUkkrS0D3bk/WJlr6qCkMJc8IkGF+MjDdAHCceTq32j/W58tN2dSjeXtm8LvcwutFW8rCvN1HnCi+nSpwRenrrKP1lSchwTWA3o01uKdYmBOZO684Vdtt4fMFCp2Zl6JOc5Gs2+vNiryKuLq7s0bTUdyYKHHOZ6mMyVppqeeOdN/dzP7KWb9xI6v2T+Yex1RCzFMVcBVJS70lIabtQL+q/r947C2SWnOG2P1cYKvTSNs9nqto7W8Y6WrXtuPg7X9BF3Yn4fp0aDsUfc8bLjCTcQXRclINHakkPcTaC1pq7mJkQS/dzO3t0HP9+Dnno3QlgD/LOJpKDv+CYra3HcoTY3y/31XCNrn1NgqM/cjSlPLnjcv8FirYOpaR4tVxdP30ZrTPODAU55TFyg8MfuHuI0H78uafmobnjpNzB4k4BmP9+7Bbc2+iSciyz446ZtttDT14bpsI8HyeTjdME+OuU5yApwm+wXzuNmc+6d9yu9uZfYix9QwnZ8VzYbB89WMy+Pqb+D5S+AuR+YQ660EHdxpqDjvSyb3//uuKQ/3nuDyh7t7W4ZgZ0HvYmaPrGt7TBvwkd73Oci8cyctBvZDOvRj7qiaczJzpwHGbKamH27IjyxoL+dOr//y4HfbQ2n7S8VJ995bFpR0svAHiLHuCXyUihv7X9ylSWr2NWGmtIS5MHvL56H9rkZiAy/YjCfiDDFGBD46h/KpBntUa2v6lB/T19ZhunmcTU8cG7+ZLc4GJTFoeDxcQTcsL2C+m2DLB3b+uGmIL5mpu160KUNyUw1bDDHILfslOHchrLU2UDwx838F5unIuncFMudtfxcGuo5rnYJGe8cvplbgQhfGpr9vaG+9uB06eEUHBSyR77Y/MAaoGmB99pLmIWbn0KOgjx7UWT5rB3w2mxzu2EMOrgjGLzkXSQ9TbxFX8nPhFxAf3j7qWId8AV3oy/jvrVp1kAr54gLWpq13oKP/5YnzHi8k3r+Awe3K8Y7l6G9OqC2I60ekxxvQf7cz+ADizB+0R5dToDFfk/hoJSHukzdHmd7MS8Ylz0NTH3i5m33eM9veG6v9IMjU7VYu6OKWgc8A//+SaMqbgpCyJ+ys20Q51w3o+PnffvKY7M7gv5Rtygr+W1/mfPu9z/YDfuX7xDD4KlJRnYHun0KwCY+7pi/xZGcWuvCLqfGHivPo85PQRcP54SSmVYQyZ1oXZPSnf/cjdvPQdPyUCRXnxdeNdn6fOvjjf9/1SaIpweHWl1Zoeg+EDKEsDT2c2gjB73bg4z/xDsyaJx3t9g68+y4fNq6Ktg7o4h1emcmJC7CTfJz7dg+6Z5MHOMNBG5PuawU98c6fn3CvFvgMYBt9EWMGNrR3lMk1FexR7/48mqF8UPT1ABZ5nkdm54K5J7RfZEcOUnhL3jU3Arqcha0tgv0rvWx/UnPvs9/cQMPHpwi/9+f9ZmwLBhzUXLaPegS26/UBdzqlunlRnVxBLwdViEaYZ1IBN8N7g3b1PqoI4p07/Uiq3aMrN6YqYWq3Q73+9WR8dTO3f5WWXCo2vX3U0lhkEmIy/Zo+TujLnJHkwC2TgHcCDl1r3b4g8rpi2D9SpLzGQmMzePZJXG9YeLs0lImKbNCToPGLFvzjfWUauXQ3i1ORDEos7/2NINOgbxze/quVGCJYQeY+FvgWhGBsmlvpTP45wOaG3anqt6De9rd8JaFg2x4H3OHDxhMjp1kxXcpi6soOfZra1DXduzXC5oz5fU/qQzE7hrhB+Yo56ZcfbpFv8Iu2qZlTh6FT9glWjLtgbzmlaEcoZimsLRXOLX3NnohDp4pDtwlKSwwc9Nr9RXp7SYdtXFtL2wzoN9dROoTT8F/elgM+EfhHrdXItcmvFizxCMMBaKm1sZEFLHKUYWLXLu9OhRrhnW+5pU616RFmt+Fh9fegOU1N3blhajT9GTJnfo8h6Lb20Yg5pZwDpyRB1ctTZREftM0kuF7Al+AT1/cmbB/loIGH55JRNcH37eH3J8LQhQG1SW3uiE6P0ux7FNMn2MlJRovp5SH+912gzaYCfF9J0RTmFnymmzDq4pmvbVqDh89XvyotciKxL82dlHxYNsRVlyokmDoQ02K88mGhsPZfme43daQtxSbWaP8HmGlztN97X3cvzbeYsBkmDOOSMxhH+0AYjHWfhJIhUq2ISphR4GErt4kw9WIPry3LI2Tuf2Y50hYPlIBYoNOVLEAMTuMqXRbJE+btACz3e1e6Yfe1CcC7xvyhEKHnONk3UetxR484nDJmJbYIl7saNfgK9QDt/IB4rbMxBcaf7yntge9aWPtcyuFpc7Nnr/GHyVA/QZyAtffmKNv0zz26eiqF9ylidckGnOYrxNxhCmGd3zMbX/iAx5qRvcm7hPhxV678AN10U+HyvxwnbXKc/p1HGe3O9dSKaPFqLmk96PdeZX7u56oJF1D2z4fp11aPfx1Z4Gst0hdo2ELE5ud2LFkb58O2zXvyBF0tBcrWWuC51H5yjhREOQWxApS3Rm31/5i6ti5Fda37l7hIjfaxEQKixCLkAnkD4iiEgJRSivz6b6XOsc/3sMfu6otCsjLXnMnKXG5yoiESqet/gqZ6n42+YK19HyxS1pTbJdc/+Tjd0hgJGi4BrEkrd+THwSZeU6DvHDgXzGtBkTQ8Kwe+OORx25WAowe7NXtwa20ruxl6m3M5pFSZ+5n/ah0PbubRwKc5beM6NPcLOckFTlmIMv5bVwDZskvtSk8Q7CpJI/5paubNPQESa+9MNWuoLoHvz2mUfJ8vf27U6jenfAv8CHWgCx7vvUocQ+5EGuJWgg6cY3LZtrhTvtGY51E6qp+OdFX2Od47B9v/PLzum2qV5l7fs+kg4kajckOIOZmVDo4hDndVX96AFzrmTnTN2Luu8gVj81svT7rS9O3d1RFOcdgCVwAtwkCDRqB17GzNNIrKAbhprwRfQesieFur3ACnkKD7ynw1NWgqMH17FNNXwJiqEjblnX7zqOxgeZdz7M/Ak7G5/2T61NGu/axCwK8Omz4IldGaZyS7GqGPSmBRUh2ISMEz8ZyO+vbLPW3/W4itR62rBVqiV0FS5aIl54G/PYLWhssSdBfGVlLQlfsZ5+aM+iFf90XE6M7j5KcJ9HCKW4cCh/71TaX7pRJXpylCj0X7FxWTr2ycHS3kZ8wOf70xLDIDh9rnr/kd8z2Pns5ZoKNapZWPaiDATdL474sUyYP1+Gi0g+ndBzromMbpKiCvA6/5SC2UAo+8Cj7dFMLPE/9yaMh7rtUNx2oxnvFk2L5OcfLWDp9smFLm8ENZhE+GjNZvNkYnqWD/PBfS+OQJZrzPOnQRPaxqZ+nKwR7S3d0FTvxhzs+AP53SKFslz5yDC0Rr1T3R5Vqaetd/OuW+5Kx/skDdamsblsPEifO0MuCklP9duL13MpgrGervZphDxkifr8kuY7jCWh9zB/Jk1yJp2aeKtRZkVEEG+2n6G0HGs6nV7mFdv/c3LMYU4BG608gLMdUT5N4fDjyoLiaISbuqeW/Jyx/7FDPPALTxiYU4AKz8s5reuFTwzzwi7sGy15y3VuqgK1kxUkyWbAAdxrz3d0Gkz1dCSSYLgjJ4HtMnhkY4T8P5xEdsvGp/8MAeqmMO/l1PSZJH0j86oXXm/uVgqV02ftnSRc+zsI9Hqz00oXbTUSbZoF284vhfrgzVBcfThgx6R6Ivu3YwzvtFCtBk2eBljbW9s5V3oCFBU9jZ0fEOPNDTmU8E4uUpqY9FTwoqbK/SCH6d5BLWpYKsIDvgbly9Y4PVob2SYbofV3U1e9MpaH8W+EKGdweA6kVHn4jInk2tGkGQAzieVYgXabcfmLfXs1ZZFTIbxnsuaWj612oV2mPO8JKGW52z9s1tQqr1s9HmHA0/iLBJxtFYC2up3OtKRrVnQpal3Ualtd/ImFds0M55nFLJVFRB/sn6P3YDjBHWbJWu6AXc6CYgtmu7tPN+umAu3/VsvLGSmK3kE2K6aBySKWH3pVBUmZuIXDvwfU6jG6dk01z3xqVKVQ2TMx9//TZOlTDnH3rJrcbi0TxCvrnnltGgoEkGwCjIL+9z8xz5kB/JSkNJzl0rc5rIBhZaPiYPwAgE89sqy9uJgb1Y2Dt5IWcpZgwcrqehurPeWqmbviDWrcPa7iHPaMgHn4xdXRjfUgIevWt70qg1fHWh7t8bYQq0uBpK5j0hlhCNE7+y7JJYy5K5iNS9DYxjOwFnCPIxfDABMBrqQx0xp7LRtyi4Z+65qyIJgEt0gsqnYM2736hl9qgkx/5vfV4QboxvcRU3lgwI5MmFnjh5ySipmjXh8DOMufJKU1/Ltk8xPC0ReTodzRnD/FkZf0ukCe4XIgMJWsw/ZP3/PD9T68tR5tx5lZFA7Y7pJBQaJTJINqWLBWi3oinMnWxVGV9a4mx3mPMqM93mfnuETQURBJsutNKZQ8I4zNPc5uHiNJENGuHffm+Zmtp7saWmRijt949ak1cjpJ8NG4dzDJygMZ5uLmixLGMQI2vbptaCm1H1KSKosaUWXD2Bzy514R9/zysjPfNBz6l1fZTdv9rUTNp6n13mH9U1Lym2i4l+FWvGmOenyP8p2fajBCwAfnrP2fV2CjdOuptjc6eXrT6uoumgnAlwKqFNv2WqU7um6x9kRUvqlDYX6ZsD3Kqwdcw9QEX/ekA9P2i+zTgtTd3oBXf96yQaF5u7OdHzWUFsQBy1uWP6X/TWiQHPoskVuBWp8/nKIuDAMdmXI2iDcb/i/o+prXuv5cWcD/P47+bgNjdzZomF3dU9cCQ0Se76C3O8T1hXP/AZNu3tJ+81NucG5yj0Spf3iuL2HGFm9syPgNI8xlICLop8lvCeT27zf75zjP0BRvLrD8MrATg0kkj2amouc4+BuBl/emDNS82nGTASsDRdIVd84ND+lMDZD065OTgSl9Yf4HF2zvtWNo5d0Jh/qoLbJ/Rvn60/Qe5IzZ3hTmrsAp5HJsdL52jBM/XzgzteSwNpN/n8SN1kAK6CKu6H52Gyq8j0QTD+o+2xchbAnq8HjRubjpPOgcPU+dam8dubBebLyR4He+qBZ0vTX57Y/owL3jLOf2iUXMpBbkxPoHPYeOcO4hHmGyP0k/VfLuZYniLun4GLnlBmxuvjaKkfCdpbIXP/RAMnmN64IVS4X2qdmr3Arlm/PBXpb4jpg+qfbmpPoMdKm4yYC9C2Irzatakj75GkbgjcVn/gNbSqMHvgSH2cInU7RZ4LWvvGo3KDtf/R2O99gLuDe57JkK8VPGPF0YZ3yQL5CjCRm735JxUScjDo4XW/AUACbYllrYF7htvf2sea7wFX2ovp5VL3X1YaIMA3Apn6awO8J2bDP9+DffWax4Ylr3pYJp5vPyXVnvEWrbQeQEv3lfBuLLJpqnvL9D4qKcGpTiIFfJoXyOjhG2eT6XlLmWU9WUzWlKKAMrShYwsc+J9PIPxdLwHtlVT068Hi6YNSbGp9IKN+bZp+huxZOqafVGruS64JUYV0sOnFPO5tc3e46iBmbUQhz/yIIbyBvgfNlKTVyg/nfulpx9975pZkOueFFidh8xP7Wipr+ml6eUvDPzYdCEvZvIG1ykvT66xoS2apMmXJdxPCO2vgUxZ8ztoGjS5vZmeC0vSWdv5izlsk0ikNZ+8f74V88XvXTuu2RrythcxLyiHW+d244TKNjU7cgIbrUzED4dFHrFvCXfUBQ3onYQJjo8fM/Vok/FkaQZxHnkMp3xt+JC5z/NaVJbOXypndUzxhEsgDvWyDalA98GlpPKRE2F5g3tAJeDXrfPg4P8GUzxAXmNnXp6milRE8G5MeFlgSS16Biywnip1y2L/w/+4hHlPX9EZXe9XhlznnKPvtvnZ4xEz9pqVemCK7tFSbDio3dXvEwabK51VHxM4sU9utWm7mCJEj8PJ9HU92PciPKjQ9X8xzy3fM21zzHWeLTFH7ncZJwcw5frjFoK+AQ3FuvJNAZ6KMtkjt/jiH10yI03r5wNdcTL89G3DgRxn174xmGxUC79F/n6BdHwSRZ7rbvvcPPXN+eDYuo7vtBmLy3liefx7SZ+VM5Tn+gjxDUrmbGY5MT2n4vZ49WPD1ELF0TH8ZNaJUdWTinUob0D/nKDHcFlImgdxKkIz/1dxaVPOUMDRWiBfMWjbAi3JicqdIemBGPnNaCpxoPThbWgHmVvz6ypxwZTa/ymF7yARagd+9AGuOytoAP5juwAExd4kvrUmcmf3en78Q4K/AZW7SSWLBf3uA01Nkl6Bd/XPgh6ZWTSB1N3XWNSWsco0zOvpRVCemRwGoKF1byffR2axnLR+pmD5q2hZVh7PM9YtzV765jXOwNk5towJ4kqSOXeYjKCQL95glcbXbUmzzO2BOpyzCSp69YL4v3PIYzNd36rS6MvsBlocqxtYqan9gjVxhXOImDm+M4xHG5r1X+S0BiesBdE9h/MOU8ScPG6pOeEw64Gwv4P5H2jUPbLYHeBsdnWUPOD0CSg6gI/dyaNtsWAo2+vjMQ4/2OKjDJBURaSvdzub+/1t/mXsWkH9FWSQcdHBZF7LkA/C3mDv1Wr7O5o6e2W+JyZTaGjcRLCONi9+e0OzL9J4IKtG/xNivpm8dD/yiKr5cU99w4ulSin97RJvcmS4ZaKyy5ynkb9MzdZdaCa1swvMIByySJegbXQs9lvrrpqwpBl0XkFjtS9FWoAEQN5hF/W/pAv/uU4/HbchDNJ/79mH6YrwxikSQBy/zR2ORlLrTei6URZGKRC+Bh9n/PZOapAJ2VnE9EyuZQO+bvbhVFm0soqsnw4nTSH+Uhk8wGzhgW3DRTopyK2PPN49y6oh/pP0sRId/QH8w2TVWdQH+Q+Fd4r83NQIaCfldRV9r3UngH/qaQsQfnAV4vR1ArktUnNwBX/y0n8Iz0m1T6ANxW1kN7TPl+H038FJDXqXD1mr4lGWdXomr01SA7hd323hEwFhVpwKwy/4La4z/+sOK0OtVdH+UDtcHV23qwfs4g7zFEc+I0KYfViTYEuWu6YeVvOs34lPMvV/fYs03ipdLnd9XwZMxY0uAY7YxFZjlZZsRq3mdTC924y/fexZZ/Q/IL9faBj3NfVi35OO4tjg3tQccw/yiAVsefD/+r/66P2Acfv038s4/GZ2X2Qpl1t1NV+A6KLSkwKc0Yp65w1cJiXOYQojZSHDjvxJ68E7ZaffHPQXYnM2ZOwbGt/UjXfGPiky9vXrXLSeMp+Yc4dF0oNsFKo0b4Yl5UR7Ivo71DbShRQv/mmpVpYHe8DEF3oXm3z4kTv8AjB7yji3USW/mjDe1ni62UYcFP6ndbNVr8vOODR7OM+c+KR0U1YNqqw7Nprck16oFjrQ5gP5KXZ6w3Z9Hxn3TPwx42ZQdV/i/4zlyuD/JZb40g40E7zc0Ih3gbtvE8A4WkgQ44X/fixDQy5ynFqzDF2iB3KzBc9gKiczd8MzUQD1KMT0z2zhLyx9uo4Vp0orozy0fvE9YHzfQ03s2tqWg2q6RP+UUrye0t4z/rwjv7xppWJPYkl1pn8KlI7HeUceyztE8sVhfBEvGE1Mr5OONuT8P+syBvJ0CXh3pmrks/+NWo4S8hYuqlxww7paJr6dak498BT6Gkm/Ax//5mA0Ty4CbkmF7O6zMVayxWAw4vGJeF+2rQv4NF82LOeTnVGQvtWpBBA9B76VELHeIF0J6LRqbz1Rsn2ftt7U7BYB3jAA35OO/u2ZPiBmzr0UakdCaciEd0HpU70FDDkSg77rACXCYuAohlwkVZVyeUq7HOiArPGfHCuA4Y/ZiiLmg2YQC/Q/vVDLKXD7ynbnT/75PlNtTUjlKAv6JzJXuCZmzeEkUwh1AMfAhvWDrj5ta8He4XIROijMEgQjnT6FbMx445erInactC180RWnuonlVqD7ZqD/l+K8f/Q3mpstDZWqkEsjBDwb6OetI18S6wP32A3Bt5iPwxoL/nmsd1/2TFuaZ/t7OgwqAAz+aQIe5xbPcmX/rHbNRJ6fw6ubFFJfi3Y/+/qhj/xO4wsQCnQO+v6T5NXB5PCyD6MlVcO7ifrOBz1qMj1JeKJcY/4QROE/Izf5Re4rR7ehM7n98qCekGL5JWyaEouwUJO+95Q/QOXtseg9D9qFjuZ47dsNc9genvUi22Cfg1OfYX8kgAVNMvvxrVcL0WwV8Fdc1N3Iwkh8nUZr1x3Mh48z2P2prys9De1RCvfunOMDjTg1rMejI4xl4V1aQR2WjK2iKU46SQ9Ynybnze9wvjzwurdQlMPH9Kl1OgC1cD4ZTauQBt3ikPXB8qwR+mEhil66gvUPROw5nmJm/K+8zT9mtOOvWPdp+gZmXlt2XrcRigfY+VQJQGeKlgaykItBjUfJxsJuliojxx62ONo9o3BZZMd0F81bIG7boW016/mCDfK8v0AvNYjwyDtbspmzCNYXsisIb6LJNZv91uNBXIQBPOaKZ2J4g53agaXego1gl+IXFzD2sZE8EcMTLjM/Mu5zFEjQIRbxHIkX+WzuMJVNH0JKWQNdVhfhS91PKer0XgXRpPy05LVfuqLtygGF0GBgQ5FDdRuno67IjPcz1Wnb4u44WYBaZxy9/HjKSlxL4cRXLD9BT+Tvms44L/ppTHOodMb2eGH5mzhRJ+F4Wg2wWGvgI/iFh/+IdORCE9ryYrjlNNyVN9tyd9iQGbm+jPluTPBPehbDkULkoy3hiQX5+xwZoysyT/XIh1h+rssiPpPjA4/1DwbhyK9GAkZ/liC/nSAOCo14UCDj/3m2KdGlA/1PdAz/yCjlym0WTZky1WcFvgoF+jUzdv35/V3t0yIovkOtiYDkdyoUw5zbJiRWEsg6Jc4g+eK9bbEvAOFnSeA/vvbQKJUfAC+OT1WU9iiH+HpgBl3C+LBqhktgqOGsYe6bee18VcPKHMrV/rp5AhxaNtfcUxB7gZJWH9scJdEYK8ai6tm+Am6bW1xP3MjoF6cvsHavg7+YU2j6JZPbr/2AnJ2mTrA7tqHY5kq/tm88vx5W9gEdNjaPDKpQJDlRRrzxtkHSBgxxogaN6N5cQU04d4h9Ta8oKdOd8+slHeL7B1OMAf7Pwp+kDkEKeVsPmSRlxzRkdt8l7DPuyS4C9L5lkBLif59KhrWhoAxfk5q7xSkPin2KZnMXEBctWUxPCR2RBHrhyiyOGsvVUTDjtvRVi5SJjZp0EqeBzL6d8m+Fw++6XPcLcHUGX0KrzS+lMd5g3UYVJIAfjH2L6damcRTPHA/ntHZcVamwiksMYrkeLY8BXRwRqg6O5p47HDBbwdf84ByplyOdNvn3fC4hZ1w6Yfll4bW6MLeXRUZMqQvsMiJJ3/NggfmQREU3Ef7iTPTHMy2k3H2n4XGmQbQhgco3Qk6DwySLQE2vvwXcw6cj+vJslYN5b63Wsn1AeJeRserWM/Y2Y+7tCUVokFbV6F3T7RfaZI1ASUS53MOefxtOCBjgi4X1NbdkTZ17pOD1h7TwkBQ3BOT3x9ibDecocyd7n5pTjDxmGN8rsUK7km6C9S62lq0x9oYA56KexdvUjG/kFNMOrHkELa5keLE7zrk1zFBofwzW3WpL3+0WI0MlNN9EiKUmcBHnRvveIBj42LsQXoUJBJv9jN/1WqgD40oCAsygM3w86ilc55SfAaVg/96fi0suc5Fjy9kcFXDcuxAdXIXCwC+mlWzrkXiHd16L9VGJ+nyEGpTOhrPdmHJmzBbyAvhkyZ+NI4c2pfXVJp/u8S4ZyaHeS8R/B7BMf25SHkgjjUTds7+lAXgpiw9ynhnWG616BZph+alt+G6+Qd51eam0r5mAYgz+mr0VOCn9Hw6tVOXYH2P7R2OQA+eFUORh0sOyqYQ4Y4hkfeshkfJSAuVWgizNP3XpoJY+Mlx3aAQoB98E3wNF/fVSzXh45Uxdq+NJqeqcDkvIpyHv8kY9tIMPlnvYY+MXXs7JATdg6PgkvLEeZNwFuU80LDPpJCPty7oFLIXQXg93WXEUwjtJ4eL5rloy/4LlLPks2WcYLFzjYf2qm+q3x9r/Bry/ZCHw7Chfgt3k1mrvO/noO8BP462da+CeOMPA5O6sdREq2sQFuO1pwyHN+fgqTd/3hodGlRwsCcYvjFE0XZjyVe31Vzp+n8ZkDnb4TvHGOq/wwHIkynZ57y6Xm7sKYvGDt8jTfXoz/hgz0CvyXwNwCJ1PHJkSLFOg9hm06akxpMlAHA3aC5i72oDk2r5IjK9V/b5XYfosQcRkmIE/VpbTmltr+sxbbAvLUkVrSzy5bEMBJa7wylU2wGNo162FsGWlLF71j/nhYsS8Qd4hGPuRbhPsvD7jvsbRKp7bLG+RJXe3mHg8cxjUDrGtP+Uoo6JUH8A6LMIhxu3zmMXvVXEo6kle6tp/A928E6VO9qjdnuzbWFtbA3U6FskRHqpO5ZzVkT3GZT8rWPoFcW7O7B595J6jcZMy26qC1z9HeA6z6UePk1QH+AXzfyQAZT8u5dNtbbnrduDI7i+atYbuDpRNOk77un8AvCM2c+dgU6HEugMObfowwZryA2XTCWzpOuRStAI6/5nbSUTaBJg5ftaXcXOMxZcmDdeUr7+QzHcw+i9JZP73xkBLTrxT5fqnlnQ57t+ya5UTbknf4mAbSY2w7ARbGrMcLRtI3vcYzx1uYm5ATVT+AY3fT99jU92KHl3UxXWDWWRP8fbCRfwqh3zHf56Yfbj/94Lh9UYFOGXB/4AmsGSFHWuXrBFoPOPszZVf4LOCmjr0/UfLMVgxrEzStxh6z+xW4JAIt4asQcsfqe+fQhhyiGY/sd92XaJinQQPFygk9NiZRHaHvauQnwYxTbOIBB06kg6omUMBzs6Xpkw/1e56M8kZMU2NNgMv4m5lzzAh41LB9Soh17rY/53DCZOTvetEXxN/tjHRFGEYVcA/IIZ+VNQ0yuhv/GMg1bS/HNjrY/kR69soEZk0hIeehXf26u5iDfl81JwV5niI9nziR1IZ4Gq9u1oP+Qf/6p5R8WMbS/jL11jHgSt7QJMDF9BCivf2nD5FHcmsKab88s94+VJF9OBttGiNcITxWtuEzuOUB0cRq92olDPTDC+ZuYKF3Sp3/9ZIQEa9qfV1qUOI1e645+gv/KVeMvZvD0+e91zdsyiCnHwUtnxI00gklM+QwDmv/2LigsVfZg47ak0EXtdviXMxRqhsbdCw6C2S/9xyIPXml+OPkA+hbeJbjSu489l0cq7ZG5Am6ahXj9UHR9IHdKRZR4qRa41o3mzrMQFvoJ+H+FSPCc0dXfPA4HqeihLUOOfCRhs0bo0RlGtg42xj4JIfckZ97jjP69TgP9uHglJCs8JNT5J0i0LbAZ+qRZyfa29i5/qd2i5YutsnFnH2YezTGE/YctIwYnzNTq+7889O7yBHnOagRitAI/M7ocmrqQyEmQc9q/z/eYVqDmvYw5fmZtjxzGq8ZbKfsNMUC2ycEa3SQCQW9B2t9L8IF/o0azLNUwb/6qAdoZX1w8Qvi+1Tn83/uC1nqSYbkpIbepsJmPGQ2Bf5ydDxtag6I8d4NjJf69MDGHzeGGLlsP/NCZpQ3t9TGuHJbUa2+ZsX1vZeSloygBt5Huj4C3h/yWGfGU0yN+kTiyaMCNHTftpWrPiHnHsjaamV8WRAwKKTLOiAx4JipK3v81pvpyU6NTowyWM/kBZjw5vP5OUYdf20PWJQwLl+u7G3bnNGwOIG8icrSWQh2vFVZoUcGb6hhbefxl53pvfHXX2rTkYQiE5fHtEeyosnIC9Bo1h8nc5NRUfley25l/3VJwT9UnC4VmmbILjPw86ruUsDyZag7qVOzU6N9fGLZ86wTz/TTAj5hGZ7H8vkDVnZv/ERMrQAxDi6of4J2+hDhBBOgyv/Vs+FPNrbdCfQAzedZsZkwt2XA6zCLPFDCOAe9sDbDdFIODgATWhXDWnanLAfNQzTgW4xyJb483M+96aZk+h0JkRg9Ye6zv32/Tb/K3nhelZ36xCsOZKFo7uoV8vvxXOCOOtcnFfBzf7/x+HoT8O6qM70Y2hie59fX9tezhhrP/r9POsqSx9NFIPRRatClcfI+y76WXF9SZu6+TqXq7ReNfYxpulJn+UgLxJX1dQOdvQM83+WD/c3dfsNjklCaOtLUeLrqWo6gM7XBjOZVoXY2XTdgRF+l7Rvfzbd2SNhgdHv/qga2ViPqlD31lE9Dtsprrsn9FPDNwfjCjqDzo+x2eJl+q6D/zb3QMZGnwnh78g9ZQOxS44UlvZTujV9XC9opOufz+9y8a8T9Cfr2CFwllGK6wSjuz0LdgZd91vB0J8p/cDh3GeOFiNo8F8rsV7ckgvHToZOZel6rXZX++zAeQKnjvZohGXDQPmW+ZWR491KfEQvaOVu521zm5My8b9FLnA/THXc6qP7jC7LJhCxBPxag67MmSAjukhJ0FS11ZrFw/sHD9mR6fnCNQngWyE8ceBS8oxW+cit5n3HAOyVu7qQvpnl4KnDKGH7Ad+5ymx8Ix5EQcwCY8mP6Lp2HJclE65Y9An6f3GsnOdHVx6BD13w174u+Bbp6FfXNvf4lHTFtin+enz9cTxV3lqfxn8htvCltGZVj8lOH8qrc8nUee+dcKFyBXqzNqYTwUH3ZfuTD5kFCG5+CdqxCHgrQg7CeSzGQSunpTkdViGF5ALq8PUw85WQ32u+teljuSiTfjS2nzEqB2eMb6P9XxZKqGRSrXOQSZ7Gr11ZkLv7JXDIp0H85a60q4lpp9qjD+cKH7YVY02Iwo179E4zzO1c+K1h3BDQk8C3BGegf3c6gQ61KLLhZzVnF9Ck0SivXd86AB5zxx8Fa8lNEPmqH/wAOu7hvjId6h63tRx3qhWgcQW7tldmTYv+8CMacA2/YbTWLCZGW6dPArWZNGAkA90xttzMtgAsM9FAGmj2sWOOkSOaZNh7DepNpWGeiJcSyN00P0sH1Q4Hw48RmJkLLNDP658GVu2SntIQc3C7K9F7TCvIptnnRv4yfUBUhU/u8/HpMmn2NIoGch3xgFz3t9QH4nlVREnHX3AWa9hQ065npTa3xkRdmj5z/qzFrVp7QqDf3egJl/30pxzN7iKB70InZ6Dtfkxdwz4iHxt4YRaQwPZZS0EoQ51zd086HOOJhbnyzkFqaoN/IAlRKb/r5wtwP9rum/SmpKs4Dt8+IL9WofqSw/QYBh2CcAI73wCc83O3NfkKm4Pc48J/GTtaUSYhYb85HXoGAAQ7ENmftf6TM1BguQCjaljhtUjrJu9Zx00Ra1kztml+PEPKZ2tpl0dWlr62Trs1NcuC0XfvTAOYdre2VFbj8T23P8sJruZT51lMifSix3VDUdtyRy4nJbz7MuOqwD7z0X11KPqTLwc2epViO2cDMPfnuXPip6jTMA3+Cdh8OTlLmkd1Xhb7ytb8Bpqyn3f12Lqbf++r1Kh8N+/MoB7xput5tbB4fVvg+Nl0rjd7aPDIeaURPyTlqxTnEz7IgJWhQ4EP+gWvmgI5+5CCNsqJ3GpCopEOT6bOb28CH49as3RuFPI55G5RCfkDce40L2juSTsbITz3K9/nypxwSO3WwVQ3ThzlbwMGXd47lRQV7+ySSgg9Pm1rXB4s2t9QNnSZGqdloqgAbq4BMmVD+r7d6SBBwFmDPDDQRbwGL7rDGSwV54p2XJVsivDaPlKJ7s349ju708cubLD4yloTnyx/QyOUDm/OTODWakZi9NUr3dmlhXgsU8pVUdFAT8AKH9uq77o3PCp8qZzGevf+46HEF7ryb94fXDO9PHBVg079gaqJ5Q2OZiEJtOCMn0JB+tip2ZrAWXMTZyky91xP06CrEcuM2PCfEyqngp7M5C+JTWHH/29QOvbV5xU1P7CU7WH8s7spDNVhO07cZ6ErEV15WnF9Il7BqgCgtuJ0NcwgqB1UU+7BGZrWiKwcsIiHzqvh3nezSAHJL0X5zS3XnYfv9Tzv0iBqPgDpEU+Mmnuld0wzbqmFtVq3w3BQ4Q0gkdpYc9MqOjHg2OTrl1+W4ZqYHHOiYecKafJ+Br5MIszpMPB6EjmD8DprprZep0rwFHb8yB8Ys5D0FXU9inKbAbw5Wy3CEB8gZRQ4vQ0EfZJyfUirNrfdPbrUY4ikydytrU5dok3vK2idzku/axWZt2A2//utTXFFZph0hTVRu8shzQf+M3CUDzGGVs22Y0XIBfjHnrsmDvp2GianFYzJC+7KTGxHiu4LcLTp+ScMFE1h7jQXrLextEs0Qm/+0nqZD+6QFYbRQ5r6xQ3pbZEPyNP7Taeyb+uO7KAAnx3LJGXmU/fTRWLCWaebK8WpB/H0Cj3rU3dfCiuRQGnzWk+Q2mg9rb0su33spE6zxiQbN4xTay+H15wFcquKhviiqZmCzoGlCq4nQDfR22LiKNlablTas5d70tedLE6IbxEZZ9vhDAT9mqP2Rq2zTcVrKNSGGk7+5DawNCjwkgvVY8C4D3sz3irfsHGrb9JY/0wzWHKxQyL1N4Rvt9wG881QFfpYJW5fAfXmYjDJsXjJSMmfJoiL8KlcVqFX1TfSPA1DIqw6jsE4pyan1tRKe2hlTI7PIESOIFUfhE2o5aB277pdj7ehbxacD5drNx/bIeu4xhkjW+Q4LQw8zeaKuwse1zTKqf84sfcdGCblsLNlUZsXXCjnyo4kbW7naVqM5+59wOhApQulVTrkwV5eQS0Ef8Z9mAJ0/2Dtz14fE/i53fS6dGdUcf3A7NPeOEeRucRLp2zviKth8MvvWkrIF1sq9/O3HxrsmlMR4euZ6miGPEhokR2kbz7R5SkP7Zfp/nVm2ZFwLwMELGVRRi9DBImESIZyGzGjfgGn09hXJJeJ5WfjfZEwKyA0v4CN5JbayBv51Lv5aGVDc0uIHNXBcWtkCassiiGxkR5yG+sZHY2SaJDndO43xMw0XwjXn0laF6r9utSXfvj3fMB68jsli/CVqszdqPPJs0lV2Y+rfIdbmm0LyQTvg6DzZ41D7p1Ah1v3d0C7RsKpBF355wAdvGUNBavaQAtBZLvAT1//EffvPRxoP86sJE5y7Upt+algYT3p9y3Qylmvrq90WkCMJ06A9NF2ScAQqnepn1vUbEkL+ge8EHNunhbJF+LRhvbxAU1kq9iXW6lU6rXznFNAlOekRr2D9QuwfiFBz5WrCHD2ATrrDz7eK2QVouCC3GpuNwKiG7aFivZNptsFDKzNBCmJnxnMBRkT6Wa8SiDdkeqGxvnzHoQM85aVisweudwCyFnMQasS8O9rJQvI/Tzz6G1N3UweA/XE7MUtz0FFWGugx7T1c9o3xGo/zUTImUC9MbQpPOHOvLigSpzLV9P/5rru5M/Ebn84yg+b5zKgsgAMgZdmYRKQ/5dtTanlu6f59Yoj/GvJ0zSdcd82NxW1+hu8EzDgCrznAGrvLgjzkSDDwjV3DE4gk7x3za16ED17wHWj3hwKuV41GT5E4d9CAYz3zQsecyp6u7SV15cDybdo43k+Vb2+mS7cY5ltpX1+1SHopEOQEhRQ8x7m/r5mLEuYs730A/2hdl4rvNzkHbWLZlypoBwG8EIflIx2mT+xMVjMAJ6a4y9bQMT4OPPL2VdH6Ndvuz5ftJ2ZbUjm/NU4DA66SvuaLjDLv6Cy/XkrvewHmbhp2pXMO8CsFvBWXeZCd2nE2r8bDropsH/TUMWfZKy+mvHYUERzhiqFbZvEg61p4E7koVC4Cye4MYqyx7M88zP7bi0f/83ZWRVv918v+lXZ4D1n+Afpdn0XqgRZJyUgONFo2EC8IcomuISZF99cpV9Jyuy0VW5LKhrwJfF8Ee5cOHmiHdpCxykuHO/mI32eI9sHybmfd3jgHzQH5i1nhjQlvR63trSokocLrz0VyN94+lTkTH4xWnQo2zDmxQVOghFJgasC546ZAP6kmQ8ba5SyuC+iMjeL4+Mb5tG93uUbXU8ghD7Il60LgMCTguzkDLckqWyXwZ+ZOJ+jwZM9svCPhcqoRoNugtLKWi1wJolR9VuMUE9AHpQP8WSxFqdEn/J33nvlMOv+YFvLeuOQbhvrKhmR/AixmbIpFl0gAeefMW+Nb96zNvTlbSgpcoHHM+dF8YpdtmtnoUzp2VbEFcjOM3K83l7xVQ2szMf+rB2jEnzXL/yymTkSgvZfHwKN7va8R6ih8Yj76t9xCn/g1fytLcdBjWkTI9Ap/ATcXSmjgOVPAafvMe4wofAaPJwsEE+O9Z+6qvPunvKqO2zn3dxXkRuLYE+X8AzD4BjyeM1sRQvX3mScj7/88AM9Tas6VQjxkFOLC0odfD2w7eRxc/4ojtcsRiWobr7KQHHKz5C56a9gHH0ETISkAp9Jz0O7qwv+simQC6eyCnpJ0xEXaL0tqPKwjDbqRp6Xb5sBT73VE5lpkwF/0/YT89bDy7gDR9YtDa1tWwC0Z12+PhTgbfvvIB5lRLp3uWVQ+qSBDLvBPE05P4++C4wTGYhtwwErApxg0midR6tBoumCEEuAqaWmTNHOMj/TyQyPLFWNpH+3/X7d8f1Yudv7rYQIa5Gr8P7kMvZ3q+TcWukyRJuexsc79NjTYjl0f8+AvcKevpe4TiDt/qte9C3O1Iy7/zp0ES62G2tZ+yjypLO+tl4PUxUudbyvuJl3masjzOIY8IkEvm5gteG+bPgQHac0+rJ97Vuis+u0lZfpdhE6FgKOswH8iyQ8W2WOqMwHrUcL6AMwErYn9t64U4ZRga/8smboBhz7RQLkVSm/K7j0Z87gCbQ6sO5SF+oR37E/izyuDPAaz/wmsJq0D+XGw9sDT9AcJsl9e0Ayyyoveo6s+SN6+740mci2fVRyaPi/sjMxJh7xJyGLGx5z33C871NOerSQwtS/6AzjVKTX9JQHXQYtFFVNXqmUOuqlXiCyluU+tuV0FaAccbc+Zeu9jhzXi5qxsyYNwwxByeZ/4KU1uDZMrjJG5+2SBBgMsn65m/70O9CvNtz2xeW5qhXLQs8RBj7QgPo3UD450lPa2JoV/y2iSmJ5kbw0LWgx4b7s5BaHpfRhBXi5NrX7OFnS0ZJByjJildoDvr8qc54QJZHxUgQ767f/AXX4TFHhrwBc66ORkeuIMX0vuZIuMk97sWb7fiw/pq2HemsJ84ZBslLNZgXvZmT2hc1g+zwgHOVNT6u6fSiy8ieUjjea7sjjPHWXGOEhDbJwjb+WYJFS3e8YIr4HLl+NUCd2+dQqMVbJUu/vz3GHgIToQwPtMXGK2sMayXuXYDuewfVSGizB9Oos2AA0VcpvoJtYXaZlehL2nHOWeC18DnoQU8jT8m2c6YtCl/ptvFJTLXkT6qJzFrWkbVH17Av5ggXYegXOgPN/uqf3lnsy9BO7v0679YR3+OKzGD0d52NYagHphDpcHu3dgrhlxZh+4rJ+PPOBav2Pjh4ToWfVK4/y+yQqFTa+8U3hd6lGux19vs9JO46vpDXnP+3nfjNMHE5kjaPOkTGUq2s6pLRfcIytlEzH9eGDcYE2guYQ1frT/eXB9A77Q2pkcGU+cvbauRNOVAUYp00PPIp8noT1RXG/N0HsstBkx+1MRTkhPzPnNxvS8IOH0yaO7dza9w4GXSHMnPnzejJ+aKPB7HyAwPBRyZQk51JEB+mamvnGYT8T0JQK9wSzPZy7oOdGbvYccB63GDr7XReqeQa/Vbrk5rOnjuDZLjTQoVNCo2r+oLt0c3PKh4n++jhKUtXUqpgMPPeNZKaXlRSlLfkC77iE+kyqSmgXtUUL+r0W5OSF9KbvEFwyebZDDuesfWITATZbu6MheuZl35sDxBWGmrxy3/t1D3GRs88yAa55Cwup+fwO++SPZtuC6dKvgr2Nq9kj85VYuauVue2P878piHDcR72rRTqmtPmlIrrXb2zTmV8KsFwZeWDtzAmveoh167+lNLEyerMcOY88XdycsY8SVq1bgF30KWAw8pgeeLfMwiU1fazWSvaDaTfvEygu+lkNvKWva8+Drd/8QW1u3AS5XdT7JQAtwodx/uDEmR8hzPqwPj0VTlcd+DDgh8GDTZvQdstsKwchLDfhYDhphvjc96z6ZmAToJZk6iFUa2eY2TWaR+dzLBPjS7eBsdR16C2jz9xnHQIR2Gbp6Z4pbOmBYWbzLA1/kjC9iUKCVCGgen1KKQXqmCx4ROV/mHuJaVMNzNb0Jfs/Hutb0IDa11JtS66Ki8qOJSMm7d68W0wMhoUAi+jzaL6fddi4puwEPukn4rsrBIczRiI3fV+xTbrU24Eh4HmSqLDmJcAadjm3G8YPD/OAgfOYjGbjwEO+IDVr0h0fyHYd2edlq4EEZDXQEutfgzgB4nDd98iiL9qekfqgCHKoOszyQvOogp0QqPWv2Ko3jhNje8u7vTVL+edbTiovGkWa/2PkD+K+Pxmv9X91XmFgpYGTaKcjzV1cBT1a8Hep++TmL6Rv4TneiaKytpK3YnNe7bVFb8MyR6Yczscbc0xuSG2b2E8YC5UInzPjQ/vqRJoj0/zxnLqcI+CZtzc4HPD+/1bR/AN9fzV0KPODy6Oo7fW2/U8t2G0ZmMfJvWvz2sfLMnQ3gSXE2kl0qvNbc8xUDKur/3LOnsHYRoLT/zsuVnVl570WgFw9ZDxqYAY+leKh6e2wA6ypGNOCtAzliVwm75SFgVZSuOWj4My1fuZhfgFeSOJjRsQXMkRowM8Ghh5vhD/By9d87CDNr4naE8atMX69qxFUq7Kei+5WGE2jIbUCGP2s6QhICXZqz7cSEvRCmRojvIA/DDbaQRdbWhvyxa0KP4nBbNJrH5947nntVGO/l955emW/LkhNSAufPO1Rkl/sTC680vSBKWBFV3D64jY1naw+5sksLP6/Dpc1ddeIFDnmELnXnj8CBVtqRjFACPB11apjNyccecOCtHWCe20ODZJlpfOVaLZjNgottWA/NDXT8jrDSgnWeGB9rVqCPEjJbE6kH5W2XI9MHru3PESEE8ArHqmdankgEPLYwHvroAM/4xvmcje1TRe0ecvnIqZ/ikY85SsKDtY1AN7q0x1xGOoB8VOC1vbGweeJRVaB1BOvtGxn/urTwH3WoM8jJSxVwDmMUGg2nQm3uUPy7G8icVpp+B6VOb1ln6nq0VQKOAvbBfKOIOro9i2Vn8jpopop2rZtqH7gGYBSfTB0LEgjQJkYVE8bXWFqQfxwRY6qsJ+Rb+T5f3uRaFZmwb7WYPeIQBjxyL4spEf0EWhY/CXw+5HRTzW404pTG2NxbPtAAE1yojAvgw4w/cXzdwHqqcmH2R9Cx6fGUMd2S//UnMmebMbfuXmN6Lrvhk3OVlFb2qsL5BDryogLgRrHpQd47lROC7kSHVKRWxlVB49YRReuA1jA5+ElREp9RUmKKJhltNoz6zJyBvev0ci2PlJMVu/1yNNjZvb3CvJ9mREcesAd2p6sqpoCtCPTc1iMu+jb+/KfC77mlWC0W4M7TWIMigGcHLPEOsu9tAuuVof95z8IzQH7l5u7TDtbCHjiNVxsfvRATiBWzl36AnPIJumk8RxC3qN/QYYL86K2lK3fAfSH+k+Xg3E2P+vBoLaRydXWwp6oxNTPD/2IDU+bWsY9rnT1olLnpKksZ9DYWXxtzvwvH2gGuUjSdOlUFrHs39OQw7/LX3ArgjBW/2vnqa9BrMYvUAXK1Zh25QrZ9Zv0Mepe9z4nK3zoiZ0q4c91I4BZK+ydq7rjFbQ443imOErNXQgfllrbfqYj09WWOudOspq71FHodt+BZEOjdgdDSaoC//n0QV19rwR4y5O+6lM88aDbUVC33s+mpHLLQ7HFmD+ABGfCvNbWbTQ3vXlnGT4iDok2+c+Bw0vQSAJVYCVg3BfDIAnfAUZ2jS3oYhyOPvA9Yb8b7/F3n4KixhayqT+n6dcsp/y6ZxNK628TdWxCziAfkeLTQrrS+noAPiJo6w0hh44l+Fjaq7SmgMZoZs8s0tAvGmcuD0vTN3JteLWx936+cXwc3dc5c5WfhaRnxLB+WHSi2Z2obj/kFqKfEwOc+5UquDW21DPgPrAAOXFzS1/ydhxPLejyrHoYjVvM5MB4Pus2pbDNLj/n/zm5WMWy9OkKPhmPQqXenHNojc2V3jtGRBTwqedKfw/nB+7mC/359pCFmV2pZrhLJUDuJOa9zFdrbVWgfQN9OzJZMxq1/sDmnrv/e7x0bdn+JHjJQkHSQ3x6Nm0RCX29CS2L8zk6RumcDhy+Z02pl63nAoC3L2xmkAnAYR5l+K7bOSp38KMBlYCii6RKUCnRn/eKdi+mtzT/OfQi5oHWA14TA5I7ngvCGIuDKHPNo6krjRSuM35ea887v82K6pgi0a8EF5I5H7QIDFHNbh7xronZTrb4APPHTsE3qggF//NdLwjOeDaZ/WBr3T3nZfueWt686nOJVXeQ40fS1feEVdDNr08pOEKxdU/87Mkpa4H6+6ctQmT3RQUqx+2Pzy59NtkLuNT26bcKA3/33ve6L7NqkWfFMA3hvjR9VmGTnMLmDfsRNXD6O9gQrKSlpKB3gzulx9emJpi5md8gfSUV6uzX+YKlQS2Vd1xqel+sv06fpIV9b4xfw//vQZcDOnyeU4BwBLnXNreyvtuhldtaA+QKyo+MNB2cJj6t8nC/bCVT0w9RTQz5eynwmJL46xGpRHbaiGfFUG9/m3n4AxyYsat7aYUcCucMrLgWTLo+TNOM4AE72o9j+lTrJeAZtVFk6apzpITX5rin+ppaZw6RgaDrVemK0IAtgYSlC2QJG+rL42uBA7c6xvLF/Zzf3BbRLa+4xQF4mEjCaj/yHFcnuHMmYOuRi8n0ttnNTfC0Z9RHuVZtbyyMf9INoHmbs+gRc93POM8hzbh4lu1PQflKBw9LSzxLW9nsfG7t6yQrUwucdAYeySvxZ6KqIuswp8L5PAth3Drem/+vDnLvK3R/zfjntMtOL28sj/pTx1QP9C/Mzr6rz/abw22rlt0rjTmj1Pmv7prCmIB/6ldUvxOJX4BkxvFMvTS8xwGTQUy7kTG76ITDBHVXIkVptW446zlcUmP1YUZA1HTxb0tDlCCPCpqmmSYHtzAF28N6fX5poCXDPZyKWW+aC5IlbDH8eAmZPrEOfB1eXpUC3PJxR7qgWtBbj1OyhJcCw0OYcWpaIpqvUJeS1eTzHbEntZKgC3621f00B0d81gRlg20n8eTQwl/XYbEAzkxRyNdayEML7ONr+0tDSU6/ZYeNfC1iZBfltSeGbTrs/mzqyXjJsC2buz2q08GF5qLG8sU7NoCJcPn6978OG2FIH4LgdX+Xr3PleE6ebE9UbWIMptv3q3PEPetn2J9oW9cBLWbQ7zidh/MXrIqkqlxQNJQl2AZuZXR1cP1G0NTWD0e+5xCj/twcLP5cMeC8j/gn93RwA0UiAUzXKoXQgjuC5UlraErVTbnr2IsAI40ejv5zG0uYcN04t4PKddM1phrmBx4QMiLNE+e/d139+5hs2kAFzPzR9CM6hx2ANfzbAN4j+epxDCb/fA8b1Dhs8waM/1sFtuwzwkg3Tno17D7RdRKOv5ej0LynkILTp4QuaXmPgQtkvx3jvmVO392SAjScGkVp/VnGyTxl2GcU0y+dNDeOS9sC5R1RWIdmT3R2wO9Ggm2jKtj889iMa+0M1aHoK9JVHiwufeStXlFc9aEbr33wFWa9sMoQvSjXKLEwyC3Fp444M3oNHbURH5eE++aw1SYmNnilDMO73B19bWTv8wIeppPaUml62dWR3qWhtaSWnGuYi7QFXXf3Py7Tsbal48sFsGAsXH0+xhhAH/mqRBbj/9WijEPRJogp/rFeIVaNVhfdqLtt9nc8XFpuzsvkoXTSDVqLwrKYjRHViM693f54Na98c+5Uz71JqNKT90jWO7jI2P6QF7yUkcCD7CTwxKHtS0XB5yj7zKo5O7DInoE0XeC+CY/wDcXkw8wYpL4McG5cC4l2oDv7OgVv4v/rrbljP82BqMBxpvA8D0PBBaRGUhqDmQL/kfG9noo0Uk59VgWRuo9fR2rwgn0ZpPg+Ahxscm34c6tIgEkNO/qar/gaqY7wbh1y377V8B3rfpYNa6lh95+zXD3OlEegUa94xbeqS1QzvHFX9dKD99ddLGPd/YL3+dQ+v7Q9wpZD9x+/wStFfLw+9mQ74B7SHrBwN6X26vnG+dtWk2Izw0I4QC/iM/tMHHMbWo868y2zFgGsMiuL+bHyHO9CMfTux0dSCyyl9/Xny+Mutc/h+0x2smFLymquT4MBL7Fc1TO9z8/1hRdOZcqnCJTjFcsXWfQOxioCjf6pAy6znk+z1q0L4VkX2WrsaA18Lf88rB8tWvLcaS4Jea92qmMYT5yfIzVpS9UFpm9Hi7Vl9f2VDD/H25yUGG3Tw7MH3EbPHAGuxEqEXMtQS4iSQy01bDMjFDIVViHze+WHt3DfGf+0sZtOv9g5alxPHPrEV0gPTYRqVa2rZ71qRMnvNwJsw5JAWn4okVJG8nHk7K/F1g3g4SVuBxp/2KWgbyN1MjDhIaQLciTilIYJDC2o/dFOIMjFKwKclIC7opN5+KQr8TV/fdV+3swb9XmS26MIlF5aTASuBNbDirlwaiPVcyDsTyPRUERnz9lmvUWPjiJraS9qWaX/dVOzupJybO8SYjujOIQfkVGnK1E7a+p2Xw7wDjn2ZGeTAgTjtq+nta2V5uYqWDxZPHbFNf9jtQYzJowm5e2KI5T3w+QKZ3lYnzJK0EbbBo2/Se+bOyb7kpFegw8ydwTr857+xa0zPe3tauWXPEItarSQgQfgE/c/STsZVR0rgt5yCHs47FJ9MndVrvmU2QlU4FcpGOStIQZHygVdDHLaktNUnZ+0BdD1w6u1bVx5ToW3G8ALYkoCmpEe39VXM1kqovRAJz7Tp1pOAJkgelCdD08lrI4B99bg8uAp0P7ab3dxVjveA+bidItsrqd7JdW+R8evZDMv7nOhaO0Zr+ajS+7Uapw8ekYrb8gfGR5YOs5oh6UmhyDlqFua0kxJPJ7f2j3MBGikEvtrfn+fCJ6pLLnhMrieOyzzGUcpbgfP7jdv/eo1BbuAVjiUSRbZix5accgGaDZ3yPy9qEz/v5zln6idzp2PTb27Yspy0Izrt7RR36Fs5pZN3esJDwtSvV631+u9+YqgG4AJUve+NPk/M+s/949hwT+lUAfYBQNOT8Uu1k5e0eA78FDRZGysG2iNcdqTQPXVQaM4BDtbT1AaeTsGXDZ9t57EcDu7X/zH1bc2N6lq3f4mLScWPTUBgbOQgdAG9AXIFg8DEJjbm15+prO18p3at2qtXd8cYSeMiTY3plIX/JF0I8/Mvl3gAPskPLr8rc+duREQU6LtymwfoMVLq6UIKf0hj1JtsmxyxRzmUVmq40m1L8z3Av3/miFg4aEGj/9tIhBkxOe2uObu/gW70X/w1YvYA7kV9E/ZuGrRRw7adGpawEm0uI2bRYfmpu0QcI7lXVrs7ONvp4CTr3p3cvfV+VW67g/e4yQGkcK+TjIVrbb0/VNi+lRa3wVe99GGaD2Qx/QtOyAf+2T1MT/q0J3ZNQduNoE06pDH4kIrp/7Kcf3vTok+F5FgzPOYoNBmcobT0gTqTBG7NKp2k4PEXGqq1+euvN/+e44kIVSJKZO0mu2aVQdVJSfgU5+ZsrVdu6aAriSWvKSnEiGQzfHk1N7VGJKxD+4Nr0MUFumY8uYKn/Qble1fM68xarrrklSHpmT4uaXhZAC9ZLeYVr37527PJ2YpsUG3Dp6S2wXs4m82Rk0OD1B040sKRd5dRG4MG8YjdPrDDrvVYunjgTtMxD8Z5LNf+IejfWZuXMvCWOgGOb0fghhtGygPNWlYUKKzTpu7gUbkoF73ewJywSFxeZYhiLMgPi75s4KeMCFLJVV5IOBcy2q5Y9LBe2kde4JvJDf/bBwi/ntXI1ppqSw1TRWhSssGes2Ex/Xh/SJy5VUxAR2Uri7+sym4/6/FyZ0FrcvsRZzM55TMsStMvZZI1mwMzL2H9hU0OvN8lr3O9XUXlWhbyUrstOpmzK7G9st992Idb5XOe9fKiou0FDx6TwOnSaZEMLY84Jqu23cP4WGxVd2IlP2YvGsTbWA6WA5zuSeTjevjL1E1ZBH6ma88npOTembuyS7JjqI9sSMoqmruUgncJ+UY9t84pYJum4E/Tt5fn2/wYta7SEjwQ/2arBBxLrMptgQu2FwbPWNptXAIuvvaI8mjJ1Yr8ysEFC3oYP+tJTP8w9gXPNt3TDp+l5YFWUVKw9iKdflN3/1biEK9x7LQapKgFjKGtQYe155InF3O/izBU1RbacfbKxZppzpO7ilIv41qClwc/rT/SSBMOGlNZtpUNSWX2pRrguFLwDgOOAf5egZ9y0Dihov4BWwajm6voiExD78HtRKQwZhL0vkBfr3ujog63lmBsTSnBTSgD2vPPI1u6ysVHCRhHmbfhCNlHauq4pa6HyyNFfMCFemCRaNm/b0zmVi5Ct+TlBmQBLwdzF9fLa7e8w/d8ceX9COisqLJLDX6n31ncSTYZWybAVl/E7VzF/+45+3qAZyrAu0sS8kxE+qMJtxEwg9kn2kmHUNarQxXOUWXZrGYaNLq9YI1ZWfx7zcNHyhOP2ZMoTe3tsAQNTxwc6Gta+BGs+7PQ+AFQ/Ww65Yt+frB+Fsz0LkatTwY113w6E5F81OHGy1y9y4b20AT+SE1dp4Vj4uDX/mFW8qlkoX1PxcWtnakTsSJMzBFHpicx2fNVLaeQPahuBXiKI+Nqr2z/2ESzy4fQqxCyGoZN7deVDSZbVg+kbwk/z1bOcKkc9NKit7ooNzjfYj60PyrSGY129zz6cjFtR0a1IwLwtCHoqI45pqasYvMAWggfnlszyi6s1Yl3EvSO/KhB18iChJWrfG5yRQLuK+S/zokiInbPo4kxH/0NtkjPu53Jc19U19qnYjIZZy3lmXsa1R6wospcwKcu3Zw4HjOTKdkTloPGa2CW4IB8iEg66QjeMeivqbDbHKFXnt5GDl+rFHyuw/JeD22YPrcJeH/3aHJPC90eBbaBUw7EZAQU7IkBJ7Dg1lFMNO+5DfM2J/z3TkIqrTmlpsKs2C1STF4ak1QE6JV/2HJnfuzt/937pCm8Fc0qpEHhTZMQtmamZ2ygfkxvFsNNpcb9McAzOHLQVfICY7LJo/cVMBPx8+1a8d39WOADC7dl0/mHnP/tAwDq9tcjMndAtj0vZHewSNFobc6H7HxEu8omMw6S8siRV3WNC1h239tfz9LaRmqYP0EDgSPtrzB+IWjdfr+qa2XDCOrLCpgSpY732p+vCAM/5qjn3t5Z0kKy1KbPDE6J62/APwvQ3PjI8BG02DfnvqdWfGsc7wne7kcy4EmEFslNj4XHUkegW7kiwNuBqecEvVwI/VcHm5mb87XGrYj7NY+Ua7KkJdOPDIwh6WAumsytXpbg4fzURWNpqUtF+eHUpw/O+Z52aM84P+Ro8nHBH4rht7yfSAXz/2R0pVhemRiHhiMMc/rTZOGkztf1xEpXOS2tQslzYfwygfWHNkKbvoK7KxlQxZzpJw2Tw0nLthnaCDzpeurtmHJ9FuhyNdl2FS29sshcGv/V6ova9CYfWoKHady7PE1DdAfte9tboUeBv/PVf9Q9gT+TPmuxwDxXVyUQAd24AY4KuVDneuBD2vHvum9nTNmaOaBdetyyHgnw6686h6gJJ8bDdG1MxvParpRtTT1VL3qeCGEBXuDzwTFrjiywjiWJ1E9d4Dsd5p/cWTbNx23DXVya3hEl/2dL0OIy9j/KARit+Loeg78+WYEYG4dH/QrrdM2ZDR7WfqMhdhsXpw2VHvig79rBtDT39iNTG7txwJOvom8vWNhnYjytI4kAJb13kq6Olo+9o1IegI8BzjFnAi+cB51Ksv7hEuqndWTvsKuzDPTA3vT5Fvo3q/QY+IfMJocSCCa1tgNg84e5F5SH20/4XFd06T3Vl/tpRM/Dyo/ViGE8/IyN5ZWCb375lIxJeurUvumQB3prOJjk0NFvRThT0+ek1igjDHwVbTxuCu+tywZ0c8CKaeZocmpmuSeuKHNkiLm/NzWtuMucKrJs+bHNGPqbGx8ktG91tHNA/69lrzZ11EpuqY/fPptja8NzfxzBtYK3ux7sbFMH/57SvTxPrL+CXisB+3xmoSAz348lkwrBB9jhIxXexOzEzB300mwwt75hPYcY+RYF7FEavgj/cpQ9zVSoGds65mKS5GM+40geAL8QeLnP/W8+h/pkETLZ5d4R5vsJySPo4HNplQ9TVww8uXD3j5ffmpVP4O2qsp+eTYSDCjUbzPSAw5ZUFj5Q+Dfw0gS0HnARKBXkS4XUKpB/Bn32Rk39kuGbFfFjCDzOpuQUa18Gu1U6fD4N+IUbvmQJBYw09xQOtZ446N9AWu1bBm+77u3F9G4EbjmY823Sz2HN4R2yNsdWC5jvIfDL2mTM0J4IEU2MdMmIQ8A0VoImnxKs//qo3hq7pWnUHnh0s2HtxnJFv3oRfF+V2cafcGlymqsC51Xhi7zwr0avCp05uUAH0Nt0b6l7CSMKmO1UbtIDXrPGQsfGWjrKNi8t6pveYLU1g26Hj1r9e93vNkykT+K0Fxapj1M4HTO79+h5dpnpL92DR9Dyg4zmjAjdwDeCfng89062qaIH6EtwxLrt9ja6Afaj7Hn7y2nPRtOz1X+rgp3J4wYdgQEXU/coNm467B58VKUckKkrbqXpLcrUnofznTJQlXyqpDmTD9u+HKZJgiYFDbaRbHoDbf2j2LuN8/fXHiwubTnBd173q94wx5tA04KH2D5PIe5TJ1kE4GQqlhiDRgMOdzJbidP5tpZu21L9734qwv+yNcedi8G7KSE/AR+PMAa2DLBm8fR6hxtsqm7dxFHn28PUF6oOPbGpMddywrrVZm6LQGLwqAXmvz7dz6zE+HSsCr2rNWjh4nLlY3/lDt8dVnwHT/WWdsmsBM7yyH55oqIBdFC2xvkH6CPgD/Cvz2YwvXo1BQwy2QvFqWieoGVkOmZ3xnXY2OgBvjwzZ2yAVVYO3pBFnlcKYD/9zzZ9dzLxvhxWEpps0/99ltWg5kojJUDOcxJ6A6jgkCD8ptx+AW7ZmbSZVLdvp8HyDs7tkVsyBC485qME/+inmKHO9O5LV27Rzt9jFzSCtbtXiLvNcxvkbPs6azsCRmnas4e0QJs7aE8s+yA1n2XXcuUQfBKa1oHJ1ph2FDQFYH4Ba4mYvU0yJhko75Bok6PMb3tb2zTkVxnpDQl7u+zLB3DWy5ufc93emDMHp4DfyArv10aYWeCFRn8SvHdwOJ9rR2YZyzbgSSfgmyO8qZbGKGlCxJWN22zYSvArH6yfzmm09SprCfMBRcBrRQVe8+X1sJAptVqeI1XlWo9U+xcSoblh8yJGH1dDY1Us3ZBhkaUw97SbTSP4Dp73x9Rncmc7c9AoDfAj6Upzz6mvkUplDFgYTwsfbn89W0HXzSVgIh4a4Ac5MxczFvFDzbaHY1TaapzO4EvGU69C8Be84VPAnG1S9wkIfJvmg0eIyYQdbJ9Yal+J5Qwe/4Pb6lAX6BM058t/PXIdWvWI2ak3WNh7zbBxQBt+VCFOS9O/MZw5YPsTNKDT2KlZD7nJYhCdtGi0jQ+2rk6ssUkA39edeLYm5j5C0HTMZMsUJjPoxV+gAUwfvztxf3MnVhUtKwcNaPKOMwvdy45c0ujxIHGSNhFo9yF7gM6QJu8pNfd5YnwEn/CszzdHFj7KQ/ydda0Ezf1b2yr4337UR20tGPSXbzJysZi7ujf3BUMbR+p3b0sMfHek2QrePIN1zgRwMx3bFhDByjmhJ96b7rRvGfNQypWoIyTr0X9UvDE1MqLmf71oo8wCDkH6k2nyTZ5zz8x+NCofXPQPXvCSRhP4G9WKgi+l09tyRLi0OHgob98ECOb4u1sXlwWv+mnuaJt9viMjpEGS5shnwMv+H/bahABfdMDxJRVzlmn/eDRntqJFuPB3ZYf3tWPfRLSNjsIuj8B3edQGtTuVoIcvNFAr8IwP6+x6cJTm4MjTFVlKsysJ2NrAd/zfZ62mn1jmyre64J/7VUZZgaPT+O+BXdMXQmPTL6DW2mTtdCeg3nSAn9ovrrTIvooyB4N+Y2v7TSzA/H77k/aXJ+jDKg23a2q9r+XA/84QRQy+ynjk1WgVL+Bs9mvQMZSRc8Px0+TCZLy/53qSx3ChaR/ajdPecGAuHHJzfwK8ZrKafCDw5nvQlJQXE/AqvzItM9L/edgUtOBK7NBk1eRk2B5rF8bVRpfSAT/FMcybhTLGXWqyliloNcBJWF9X4+sAX+Af9ciHhORC+4RNOYylC/4kPUU8VDAXmX71Nr1ZsI5+sDWNzYpEg5SPe9n+9g9ioA1HQvnYZkQoUqGEg3+5EjHpXEyg45TVjNjU/rRViCY5TEJZOKpNXW/s93XxtckEAX2YvDTbpQFc4eN0O1EO+O5nh/VrY2p/aCQ/CVsMxzjwMy4NTygZyBP3lw2z9MHcc6Z9swFGnAnTG1VMAw3IHdbG9FsHYTiHzb+c89IbtT2Z3DSbWssbjZZvapk8N61PvB0qR4XU1nzvbA+ZeDwwu3i16WW04mM92IukUpueT2Qt7yfarg3MGPCfPhHvmyP4g6pLf8/mXp6oojjdu7s74YBDg/c8OOUCaz6Ed3ZlPfdNFovgScYFenLhRVWES9AlYea0pFl71+Txshg+y/SzZa3J6yuIldxLSpbfnCy2vGo496YPFx570Aw4piGg5qhv2aDS2r1c6xj+K+NXzIlnMAT4bTi46EeO7XKC8ZB9q2VPPk7mTDb+gvVlfwN/zlWRfGRUAmq08OfV6w7djQ07K9fqIcV0oYMXA3+7qdV7mKonaKH/evCGyy6PNoC/icsFqEakXXO3V6HdhnxsgyZW1d7icVn4Og3bOw5kl4ahJ/V0Aaz4y6oiwLcM3k3p4EfTkzxb+0feyagsEpHbOgTsLOvB7KXwBdvZ48j9UFm2L13e46i9EY4GXqRXWE9j2fFICH6rndmuA24Tu/WV276yI6618w5+MbGq6H2Tcm7ONv1Kmzz75cl68ED9YvymJj0G95nwuldChHyRsCoJJWkzJBZ87zvo2J/SRlPlEAe8xBl8PGhl9J126HU/RZCBL+C1wIcChvfLk+vpecpvXhPZV+DCK+7Vs6HEaizv2rjhU1leTKLHHeY3+CkCfh2DTrx4OehFrpm505WCz7Eqk4UglOmV/OLlN9AnCQ5Npge6gW2kwCVnvKrN3vE+VdTaKfhtcz5Wi9nKOh0obrpbAUEGmZ0jkgHuMxJtH2ms3BNTQ859wZ33B6aJB/zj1/+Xtwxj4kvTPxK8TEijm2vqDcA7gPTULrjrSXL55NbOgnEBr6tFBsAFfLvWXA97d8pVrOC3Woyjx4avrYdRaZu7wpInXjVcPGK/+mSB1+6S84lLHzgto2w+ZmL7duqZLTt+NH2y0rg98iiJ05hg8KxrOqR26fCEFFhUzC6BRXdmroD2NHvR33k+Z7DWhalzkHySZc9fWfePvavPgDdL3ssK1uFPxTAhYhsRXm4IQlkz2CPoRRv3Hs/N/dde2qWYL/k40dKZfTL2mxPjK6w/mIX/u6czgpqP/b3BTZOD/7/PIqnDg9xVCbXhCYfUO4boXnMO350vNXw/ylWKLW+TWvCeebLnjo0yy+toLJdG7x6wjv3f78Vmr3ET4PHWhVW/yqK0pJAs///utVUxv1Wi36gQeCjaJo3tWyroYQ73LvinQZr+elQjGSoP+CpR/GsF/PnklFSA9RXgcCdi7uSabQBTJWh9UoWcZKbsIDb3Nl9Z9zeXFaD5oqUw/cdyJ/kE6HRrbnL0FG/EQkCf9U2MdD203jG/bbilDiScE8DgKx0W++BsP7h1cbMVayr4+bCqO4/4ue74pgLfAnryhb1VJvBP5kwInlOkpp92rAFXpOlVNlLxtSiEwiYMr6CRbhXoTTpywS14o6hNKkcuRGhT8z2mkT3VrupzXloixHHZ+Ug69pH3f/7rUg7Krtj2lp3nz9T5WjjoW+JMI+9gro/68xjZFxECH4WaKRgJ+HMI9PxU8mRStkpOgcyaUdsnpBLlZhseNe7eVV5l833l7q6Zq4s//nL/LcBmoNQuS9YnC+iGhQ2TV5tzTebJRqBPwJAVMKDLRu2nRZuBI16qSF2zjnzCWuBMEDu3lrm2tkMzbC+gxWhlJfty3G0U+N/XWVuzqkvaKdABKfjj26MWtoY5AVpKZizcfoLuWahuv8FLdCBDM9xvWx4Y3b4dqj65HAtYl9EGuAr/AH9+ZMXkYGvLG03eUjajjId/dQ6wvt6U9r9hXblVKKU0+74BONsOJSwmF+YiUY+tiUs5Z52iNExo4/qjilunHvoV/Bx4//RKua5ARz6BO6/U6a9Hqj/ywtS6/uXptY0G/bjuzO/Jg7vz5JgMpiaqGv24HtA37pr1yPWVUQJSGOcZw7/9xUhs6l19eurtN0r7tR4v9uH57vLBuJakODjLIOLyeurIqx4b3hPywSe9ncIkVV26Vq4fSuTvmgLlTbGzeYhd+H4HFdpVvsL7LPSAOXiMsdwwF/5eJ9Pa0ePxY/7MLNBNUSKBs8y9+FyJaWBMHV6arbbC54nhjrkc5gn2G1i3am0ttWp0Yhs3NXrivH2r7eTtKLTOIy0Bd0y+yoWCDy2tJRVdG3FueDG7Vv2Mj8j/zDVKaJxcYDRe2Dub/OdaS6JsWe1XcHP9/KCrngBHvdyBOddLF3fK5B57MJft/2X63YGvitxO+vRje84tbe7GmbueNnZhPbullY1kPg1ySv96FM4dYM9GIHTL7NADXbs0nTrszR3ETqPa8hJzfpV3nFPNHXMuUWu/oM7lqmj6ZLZalLOFeS1NPfRI6T+LWZsN6Uzf0ZkT8G/S+evJdRAU96mN7uYulfjtqYiWGvE94LZoQv2dw1wD/V9RG/unniT5sODKTZe6+M0SCzMKupj6VrX6WDnzt0LYFcAX8P9j7voJ+b+sqlKGW7eJgHcDBAtqoYADNym2N2r2U8EzppzcmavSvEPPuvsCXYCv8J5LBuucu8ASljRn8lfqIpqZSnDQ8LA2cGMt097kKPavXurgO5HpN7sFn4sKk9OXWm2batSVMA2kZaoDcA/aqUyZzUDPeFRMSWZ9gadtbGbhXd7bUY4wzDfbT3uvMjln9QDuOdyOTW9yRvDLVyYlh3kZgGZ1PI8DF4LOMhlsEWO6y7i/yynvTQZGHrIraG9Yy7dFmvqiiLklPDct5E2NOMxc4tY2F3uHyxr4sYqSGTDmN5/vdY9DiWRWrP0+hXokcatp3O6JaB/SnmJm8Se3/e+UaTfT09rE7e635wbFhdmfgvni1gxfctBw1NS3O/OzdnmWWgq8nP2Acf/tmfG/7zWBb38Db9FVdrgomnSNw3t47uQU8rIJkm8cJMdjxCmo2k1jOp44KK9MykDfu2qVKS1ICJpgJk57L/t0BU2ckvP2Q4Xphvfg6ZB+nQWYz+3yDk97a4rh53znNMnK57zLrKQtBTzbMIH/wRH4uUujUXRkJltRcyx4lgkFuJGu8L0sitLNKfTeuIVxNfIdXv1BavWm7L9z2IIN2eM0LCMLNc9swCmkInNfGfDHz5m0WSxtlc8/ciBT6Ww2FQe9wm7gJ1pKxSKyEbmm3x2zSCvob34RYUKB3lVvewvFjfvKMYO5GyWwZkLwC1g2o5IM/Mze1jcSqGf+nD+4WBIuZHSKkj0opY/GnJPphDemFxnXdmNNSR20M1/xyLoelBKfGo6COm498JofuGd/eZWc/rOl8UTIF3JUARlVCnj6U2kVchfnTWD6EBKZ23gGfx414F/oSESO0EpDJElvb2pQTMA9OethHYr5h4jlm7n+8cTQVem/+o2PjKmCnGcftE9i+mM0YitlgabG1HAymZ7C0BLRDHza7k7hhEg4bdJwKmrWFiQwva18Dl5V0tCL+NjfST8LzBVww29tVycEep1J5amzAUxKOixM3lsLnvHdSfPtz0k83INlOyKWO2JLXCF1Nrx84mivLHQ5Rq0DOBk1qzk947K0v1bsainCm21yWTBo7yM12SvyNTc6NuqSP2/2UcwOteWuBj2xX/0879FH5qKz4fXTOJm9KNCPzQL8kx0cfFC9bbKHYQ5xB/49/e1fW/xb9q7R4mxN+b97PczXY7796/+1Bw4wWQxN12zEoFdYoANeE3ha3eWWN9aO8k2edWbrqNaAqHy6EWTuaIGfXfGb2X86Id/UTL+l/XZXdeiguHTB1/BqbJzc2r54uVMD84D/0cHFdzqiK2hX94RMzvf7g6D2g44lYCZvOWgR3OkIW0v2m/2MEOgBnpn6HkLxG2jmQWntAH8N9eiDH0vGUjR39rGtXtrG5IPSVWXHWH6woP2RERnK8zaVhfysTC+7DjxdL3268nMK67a0PEA9nQD+XIm1jYBrYf6Siyha4HY8C6GP3ElXRVWCGZ6bSL1qU1tuba+mql2M7YoL0OwOOjeid3mANGfLIcu3DkcobT62XeruVu5K8HfJlAOnNjG/NkWygH9/1CvKUlau8L4LZU+2uRsgRXo/WJvXGceP4qCttdoJjRzglKWh/r3+mMEXmNxIPxKUdNTm4D3bT0Gb9eDMnzVnK2jAM2AfYb1n6u2/ZQe40SfUnP2UbLky018IPMSpQK/1dSUsKdNhewOs5QwhdHD4Pgc93xQ+OxU7rwJ+4WMSy7AFbweMZfY8UBsI04ckNO+1dVihP6t+iaRQIh8yqxKzyQD/NL3RQV+8vMOkKIb1lzxMjjOM7Vma+7tdkhCB/Kbz93W+xaLYbQhv0QEcH8yfHnM/Bkx1gMuuom+t2kVRE2KcUznnBTrikQzZmOh8xR7M3JeO2v/uYzjeWcbtkq6gaUZZUoZcEvhvrGiZ6L0k7+EdDh4vzS7Nb46+/E7NuIIHzYbmAevDyhjReTjjfNiesyK7SgeNKpxDQfUrj8jFoIH21nJRAsaakpyYe6daR2mojuARz2nYLHu7uYOG6dVADkfq7zMNCgPJjxPwVdVPn2bvSQw24NY2PRXaVXFS/Wa8i4fpf/jaZ9tkDpJNNF/huWE24gsO4e10cmqEtsG3HbNhezyBHzyZWkQmp1OEndKV58ZWJfDRCnr5YcYypX7PECFpoDMS8Jty2iuMC5PhX98liQfVmnxXaYHGGBJO1tQhbmNlXWoJWFfg8T6ObFmOfEpF/G9j0msBJyTneoFJ+BSR7rjRhjE5K97aNJoBI9WQ29NzbzWg0fhrHv6XVWiZFIvfWkaz32+yg59VAb7RJhfC9MXU5OLI5iemfpqA6NJNroAm8F30nvS9Ryy1gO7lFJ47c/0gAx2ccnwWse9jNr/ujGw46I/s904S2qSBBF6dXG76QIhlFoW2AT/fTN7Y3tp+gO7IQLPl9er3mAJXhS3lAlg1lK7sFBHn25pq+Q2YPdRcl9moOvJ/PUArFYNWHpY9qBaXMbQDrOvyWFNpqf/ukQL/nZC8CK4OmeYpDfFNBiQkw/apRj6Bzk+5aHdZ/36VQ9ubGtlcfDlG/0ubf+Yf7y89v6MRaNZCXvD47w64k+CeHyrrZtOBl4B34/5524BviUm4cwADD9U4wTOgY7Pu7qXTmGzViVkPB4+9XXO+khEJ0D+EDsm11v8AQ+z/3UO83U2OHfBoCVqkV317FlHqwbi8kX46sA7bqtOOGCazr3yjferkBWaUX65ilHjvLA+B+C7j+MZ4EiqtYMwwp2H5AC16aELOMv7qrTNflTM9mDD1uclbybagIcqFuBN4gQzW7Bb8qvoGfn9U+W2pQr1nw1wQC/x7wNyawtyLZQ9cBjhMYlo0S3U2vRq+HNwDVo6tU3Z/+b2ArSiuwPKATo0A4xbwbG4dyrAElAf90vI4IaVLLGqhrgnkT86Qk+lwgd+f01Ae87F/wmf6FU0WTP1NMwDmufD3B7WIHoEPeM3Dmcv1nwX6KC2B43jBf2rXj/aODLP8tp46c1+abYC7wZclGbzLLI+TklqPZ2N6tmiVs5i3uVD+qWs/azQdsDXD+LVLDhgHf/9Bu7960Wfjmj7izZrH7QY87oaYur9RdsdYLTRK6DHmgo8TpyvBtdueFSVFHl6WhvOhtHFFRGL2mkUa2VcmtCuFx5oA/wDX9yU8dybe/zJ14We+yRXZqZM46XP7mVP4dYfASU681sTKKSG1ZX+ac3gcojtl7/Bc6f00eEtqyxbmzmK0eENNLSHoOWdzN3kwpk4/7TCYNPm6N+qabEjweZYquOQwE+ou4bCuHiekez60e9C03+auFryyJy+Uub/AG7fd4IB7mdmz17woV3w8Aa/mhb+ru/RB+AWwlM8EVjF4qtcdH4d1JGmG8omZMj19x2p4X/KuXYTGbirA74vlbM4XlWPuxmmXIx/0jJ2xAnBqJU4tVJ71l7USpSUHeVbjNDLH0wdYg2TdbeqIvzwRqXpNCSN9aem5EWSmg/GDHitHBN4M5YD/V8D0t7JTbf7cniV7d2ikgrLwL8Ty8sZZrs2afFch8VONYZi4JAjNfFQHqnWfWvzFXz4f/T0pTC3+FowEQsRKHg0wVQZKuNL+VZk7yK4CbdziI+ciMzfaozZggFU54xPwKjzj1OeDPZp+L0J4sO5gYmvSZ2wOgJM+/rSNkLkMAXdg6TFXmvz1G4vwCl4T/AqhmY1c8Pe3xuId1eSuTA2HZfdswCV3AHGRMlm7+oTUG2YJL5lOmAPv3MIfKt9qFpG/fqMgQ306LKCVTXYyRmU+XwG3HjBOC9PyeQp3a1q0Bst1OXhVNTw2WCfJbx2aDaSGZJcWGoQRfpDf/iomD24OmjG0lLl/bm3+MhZEqFlF2yLnSZBrfQPdBuNQbpiFPnk8aXPfjIxThzvUg0/8YcybRZf0gEmiMY2qGfdqjkxP8l9uFqjNf/NyUPY4It/jGpV/axnGCbTLRtkcJhgaM5bsWc8jLhLEwdeCxzsqa84rlD6VK9s8wq45r2RUlaeez6AXl9z5rQOYCFI3FXqkGZMZ5kzAkbzV69992Ao0cQz6IQct07JhuhLtLzAnLMB+0NLL79lazS5XqS9PPiwXETfX03n7Bs/8X1/jSBuXK0TfPHMLOabfFTV1TYUuGW9T0HQvbx4QLuEd66Sxf3s8O+A9B2ypW+oslelhneoEfDNHxEmYom15pGyF4d81XXg1/c+O0WzupzzSj/kT9MFQWaHJbM3AR72lVjvLcPuqJbZFfLGp+PLAQ4Tm7nwKqzWlX3ZtTQfl7DwMuEALvmOFj9PBvjNLmZ/tEFMfsLbWb0/i8Gaxj9vagLbMBf5M1yQp7aTlI7xzMb0yPw0H2Y3ur6euv2JzB7jwzf0iS/btDO/Cr8DDqKL9Tlfd0yhbyzV9HBmhtc5seEFP09cC5qiHwV3TEfD+d43OS2YrL42nAXT+6yz7J10Nfu2MB/sw+rF2U8B95XHU3EW+3dTOtssH5XPQooB8TzL6PRHv15L7IYlCO9cmJ4vvTHbpMVpMzqqHVy2xjf2Dm8Lv+6/9qGMj7M9s5Hk59MClyVN1vlXa6JN24DFBW0itrzCf+qrgb43gsN5swOEEfCYRgMU9aJ47aMBA9PNNWnNbR4qkonUp/HdwGnvAoFc9wCT7ZEmZ+q/HYRF6It55bP1nH2yUA66dCZo2Ak19UxDZFMxJB91WMVrSwTN5zqy0bCIdZbrg5Kcoe5xCtTCbWyVFB9ZvKXX6v5xA+PMg+uQOnjkx+UInzq28k2Fj+isIvjeZXaVzWWShjiQMF8Dmz0x8gQfnm4zhru7lB2i36qT1VPf8pwR+OwYIfHb7KQO+I/HfvYCJRMAEfZLx0Evr8/tS0fShrNumDpGpZflOY5g3/bTU1A+pYzoStjvs4v4UtkdTHXui/mceecDk/9yc96vsbTf92HIl7B8xNqBf/jKdfBogWF+oSNn2yUJuc9u/k+jhHuOLC/P+IgJ1qGx8zEHzmj4aB6v06q7tpGDPU3Rb8cq8gzuh0iLPY9j2GRBcHu2A+4hvtG3Zla+zNp13ZjdkdniXfJuamsOqs1PHNge3BA7vYX6q72PwtTnYl5V36AaeJOfAuxj4th65Q12sq94mGUsX7hAvZZ5g4cNTQfIGPrsS/V//Za2GSZxAY5wCNDWOqavThLvhSp5zJlcSnkaYU/BZx4JXx8Jg+0QbKj/SCBQym8sj0/MxnO9pgHPpeG8p8PPenhzV/dcT78j9/lUDU5oMh3h6y4bFUobHf/vLcwya4BP4ucyd5FFaCzaZm6kL75ryc6MTN+1hPg29uUuRchf4fuxX8Oa6sROsbOWDpgtOIwINQl59fKbKJVE+zOau+Aq6C+YvcCrCl/844p93sJML0+Qo3fYJZBfKmINDT8gRyRb8Q3CiZIU5SZuBCPChfW1PHWgEmTr2PT2/O/i8fdVimV5FAWNLSyPumdyusmjPTOCi6vwzG/895SptPGpEwq+HCvFbHS6PalCScHIHTfvg7LIogR/M9bnJbakLnGaw2DPe9pJNecP+zs3NPc8jBw/ELX0Dp3PMg8QSkbyY3ETCMGhkdc969IRxk5kl7xVo4mawsyYwfYz8R2UlJWb2U1J8q4aNW9n6Ulnb33syvxgj7Fc25gY0AGXODrw3yk4Bz6rxa61G8iM0cJLJWWfsUWlFwHOfxZjBPFc6j+wKR3wPPuFeWbLLqZ+J3vuBtf3B+8QFb18w8BdVOEUwH15n2aAFuQ8a8oOt5Aee8c30gVX8smCXfx5FO/Ledkr7nwuekuNBZqDPcvjZHY4Y+CkMrtp7M/fDKJgi1cuJcjnVbK7yfvkoh8Sjhvn+xyn7J2iprgFPaNtVj6008DHgaSCYtIlGwKUmzzd95AO6phEME4MxZd7aUGADq9+wonRN7XeuMzdHWObRNjJcTzvgwlXnFFj/dV6Z2dkKWsdtxPyWC3gOrg8Z6HrgVQzP/JtveOJ+emK2w+LLJo1b0Dx8j0HT1SEfK1fNzJz/WBvwTWQ0d1hIuAVsnWXDthNouNd4gc+3ixTpCXykmw7WciySDYE/R1zQHPnsKuA/0qMZGO8J7/Vbsa2riuQJGvjIxPxp+kKcdPLBrTk5xaB3RRuZe93EnkzFw28t6+uzTjE+n8x9q6K8ct54qpgqtfqdNLeVXPj5qzqc2HasRftsaAJa8d+z6dprthILxpbWkbb2FjFnhtXv/rTVwhgmbxQBhgd+qNa/3gS6tv0f0mFWO/iDRdMH8DtLiy9XhOh2yuchH7zNEbW7pkjIic131ZNU6iSVoT1UMcY1S9zSmkJ4B2Xdb39I5IWCSs6A+UEHZ/S5fe19gQ5sHBFybvbVcoZtwI4bt7Zh5sK4duYOJRp/7yMXbch6b1cDV4MWO8t8O1VxsjaBphltmQhVlvHGacIJAWcETYRBaXD39H8ZyOBR8cBpeRcRH2C97k/RpBtn2/MQbzKafMpfjtmAh7NHk7tWO1rKTh/LQu/NuULN9TMTfGhWbe4xTGx4gHeDtee8W3mvWWZNr7tL18rRJQ/wdITFCHMo4kV7rK15zUb0ZMzcG/3Nw85MLy/iJoDNmVMW4BF+eySTt4O1JVxYFuD+rQKXCJrZScPdg1rMAo8f5OJvbnzAOjZ51rucS5eF8wjayc1NPw7OQ8Ylk8jU+IWLDDcLYMsH/M27EtazitQn4NhAAu0zl1TSZII6mydohTgfWsxhLUtheuhuX/lRZ9C2Grxvf7Au1ilq42xsPFn4FDzAD/AykyPujwXbgLcDnpwTwFbwHzAeQ7mBOQHPN3VpNFtE4ykXzQMXcj6apPN+d80c0gPXvu4uXXHQftaOfS1Z7zYOs5tQl6dI7gjz8roneRrrjzzAY+mCt1jxt6DK21tLJod31+AtcP0gTd5LmLjAp1lmfGxkPcpRf8rxsoJmfOE8Bvy0TY/5GoWWHBOP0X9OHTGXUdI3CC9cY91oc4/j/ZmObUHHi/dbb9+1Kw4aN7WI6SktOJdaIFWk5+2tsbHpof2jIhVjB72y0y3F5kmw29Iw0ytdwZxDbcqTWz7wDXBbqvrfGkDn4GqrhnWeMs6rCBThWNpHBuvOrPqBZzIw91iwAN75OJm+kMKrBHt/NPTVt93k1KUWBX98GvWiYtlRZyI5/MdTuMX/9VbSVeMkKy5IcRpazVf5s7c29ypqr7KfLZMnaTLkm0ij/LyljSVJPpCCu6WNnZ1D+9c+23zm1pcDXvWskBxyy8tMbmAVJWnT+beK4iPMyx3+2LI00GFG/bWJPKEK0M5MgkZED24lMu1LSxR+kaNkqYXmsIYPuFOadjID3f36LNCxno2HLy+nmIHHm4CGWh4Te7+au7+yk44tgJ/e5HMmZN1ZGBQO18BhXeJXun/UXH1LnhS5jSoy6Hsa6U1qWQ5xd27t8h7G8TUP36oeJRXMxYNjZww8sTn7znnrpjGa0mFrZTbo/EDyGlxJySRr1n9PKpIPZcF30pjAGrMBe3PwLeY8/K4cnVUWioFL4D0niEbkdQ/xJw83zxywAjxaeOr1pkZyAi8/lODhYP7OkpG15skRfO6u4jtb8vamYiSk9jEeiQXr53A0eyAwXyVTS8anDXiBM+mzh0Q64UX/mvMPGkp+BN5JAUtA9/rmnRJm+g8twLTyCP51B745SK0pz23QoPYkc4ZoCp4n7SeTbfqZh+Qne84Di7zjadjGv/veIXIpI2aMX7hxL8V2gb8H6+i3fg10maasyzaA64ybbBZLHmnsd6DhetDXJTb9R/olEQgwEeaDBD7hHbmJXt1hjla5xSVG/j3TPKe9dZcifH2vTNnI9BsnVYg8kz0AmmnESIewDttyRGfqeI9c2DvS+WUTSM/0aKoc8gNaKMaWwZa2ALdll3yKcQGa2NoK0CsVcOvMwva77l59zeYL7dtz2vmAJQ+HUpyBbwIFmBxxKE3vYURR/5C9d+UrufA4yZqQExLic9nbeTqC97OW+dSb/YzN/QSKGND6snflE3fyo7H1PXfZyy9HpwIXDPgo5YDoPVmyMbw2Bf+gga/r6OYcGb4ot3nmQWPRMSlkMQ2qY1cytMRkalUm03Ygn+BZPimsC8CeYw1eHjhnqAdt8PV1N/CHur4NPC1TwEuTcdsIXKVOkvBh1mnhVynfLbj3wipsHoDzQeZwZs68cI8T2ZPfc1iYA525c0q7RIrBDkQAa82BFc34D3iN194XKBTvWoXSZFH95P9lKBwwTxJ4Tz/wSqx8bcPasVaTCV870oLPv+BI7mvkO/WoCA5+zxjh77SHUngP0Khm/9jJ48T0mC1EuHP/cANNfmb7M+8yl/3m3E5YuTzIxonhIsF4yKyDI0sBuho0gKzHr01tas8HXmUdf2DBbCG2Fvn13HLKaLZmq4Jx0uesx10D8+d11tYIAutL3/i6e4CuTWVn5jV4mX5+Zsy+gC8EDUlQypE5GxiBPLAQ3rR3eicNiM56VSqrTfIue7LYB02ib4AbI42295JxN7f+su7PFHy3Mj0uA9CH8aTN3gMZQ/Cj4YMW2PTz9UjoHarAR2KcSAbMBX4sqrjJ88KCsBvM0/5ZAydVlCPQOIMM8Ddncsd0+TAZv/933yHxuck7M/1KqXJKaxsz9r7B4c6DtffIrG0Ac/4HPivl4e5ereibIf9MTF+AAnm1xcOsw98qJuC3EMyraTwKa8kLzIW4rWn4eM2NuWKzD36pq8Rj03B+ZShbgDe+cQzvJtpafPxnzh3m2vSLGxTgc7YwmryVgGmyuHgialwWy2tJ8YcsQnNm4+RR8jR3d9MOX/br7rW+AJO1ufeTcl0uBye75iuzjhE8U7j5zaqXhdGOyOG9d1NcgR9vmQonrbreFfE/0GYlaLQEmbsNFVJrM4bO3uQFI2ayDbPD/91BALCDOepegPPMeZqOT7H8PhbEUvriHYsMfNDmgdfkkPaz2bfsVZ+ZPYGgtt6fpFA/BJk6XLSWz1lL97LWo3QY+u15hAlSTz5mf318DI5L7gOPMK+m6JMXaiGRGvmwfFa6fILffzCqg2r1x1P8ZdfhfKyD0N47HjcaQfDkDjz/NHuTR+6/Ae+7isucruRbOrxoxOtu+2019fynMNwAnoLWIhEBBVQhnhOxBZ1IUNXbIQ/ltR62gttGC88eaPcHQyTJgROBiXTGEOCBjVJgIZN5IWOswU1ONEBx3pGX/3rgnsSVTfa5rUy/R3SCsU/NuXWfVFUAfnHEH1XMJSgn8Pfva8ZIfxLbqLGze2bOzkcZihg0rIvNXlKIR2x62QpYe+AxJfzc6VWnR0vxMLX6feZyUcJc5W4COH1x4PvuT8Lc65YfucPXKiB70usLcfrHwdlZDLRFw9qJ00RWzvbCaDvlXDPQ6y4Z5h2PSAzf8FC7/v9qe25Pqdvyd++xR3fTfyYVF4fG6plbGvxu7whYA6ZPUuW0e8EeTxifD+roQ94nB4X4rVnV29H0iAbflVIFmDFfpKWQ+M1T9PFJ9y//tQHvBly93aWhRtye7qAHJ96rTTYSk1ey1KMOlIWLymHXtEhW2ZcLaAbwxukKPM/4wEnVbxcKHuSk8VsdeRq0CKeF6auVwXwmr9rvx6/XjvSBcJ0p0yfN9H0BXw7PhEzPzFN+s0UYWlWYfPJRz2Z/nscXx+Q1mH23318HMgKNDNp1m4l8NhwLaIUZjNUbEclrz1w3RejWVMHzTUVtstUc/p1ZGTznJEuu0NHkLqLWO5ga1rh9gJ71xDBz8FmhiJKdclqZOxPoOP6ZGQeFwoWNwOGc07xA5h7KSwM86gJhbON7NVhPUP42H4jktvzt31nz6QYy9r+6Szd0wP+D9/u3ZM5jFQi3UpusQq/6rQ9Yzb1gkhPk96Z/WmOrCcZUwHt9+cqqMdnJSGJCsyvV/ABra85HrYFf99WgTK1kyq3J5Nk+Kmeej0FCT1qdm0DZGLz1Meb5SZiek9Nb3nNUiYWnQZvwEE17k8HEdq+58ZExU8dnMup1K1eya0bgQT2VNFq8w/8wp3TkN2N6qK32YnQq+J0AvGNXWxuHR9vvrG9zQHliakTrogFukUntTvjU2/A+1F+dOYt2wNtKy7B8nlgLWg2bfASR64mZfcVUzAXomFYIy4Y5a/ZWPRBl7Aj6kZheGKB9BNjAxloq1euKhBo0QXsglLegYftKo9f+Iaw5npWj6euWvImBjPQ8r407jWmhYY1O+Wn4emIrudTj9DiB5z7pDH7t/ZDA3A2Hz9H8LMC3leL9idkC+kTnB6u8Ko59mNNSav26Q/c8Fe1AXbwxfUT4ILsDaJhSJFWzJl3OHuthRX1VEJhD/kNwyRVrP/erckhMeGnpNSsm0He9dTL3NhzUZWPr5qE95qBbc5awY/iXRxSW3OTAJzQbk6lBZp/R3H3AfiqWCp75kEe3axonPXzvz0q0US0SCe9W8lgGoksWDNqWWslqsi7Bf4KLkCWsq4EiDNwA2jb662kyg18LgDOykhFa6uQAmNbWDppN70xpN08h9J7G2gWs6E2dAfCYz11s1x0nbM3c0oWx6b0oHVOXBb5Vu+RaBbsrsaeoQgj46etVL3psxOLifDb1cz8HG91TKk1+9U89bO4ssue0aymsrwJ0n8mLcepYXWrwA9Ug7ymTPmOAfWHvSdfcPSE3VijQ4e1PGs1ERttjBhrif+PlqWj5MX3QlbDfTlFbwHh+YsfWuOdLOTAvX/m+6TWtOApw1NoUkUlw1MM8sjElV+oAGoX9A9DRhjl4ZZad5FxN5o6JGuVvH9HXOWwK7/4UNddsmEZ45y52TC2HCqTbuCbfHTto+N1zAPQ4DQlVsOblxw1UxmYFPx8wlq7wPws+6e2w6iMdZXykaK9W8jiJdIOH/jU3htzGCLTU9UT9A8hMdELNJuXtj8xnm4kpU+YZYO7W/cWr83mAOZGxj/fNMZreMG2PuH/3SOyfq5i46rx1m+HLoW5vqxAtR+BWRv/6FNtUo8XUbxwsuzDfF6SuJ/XX4xhoq4qmb+p+eZXjfTb99IR1dC5hTtAVMxyZ7CpylkXmsBXpXO8WxnFl8q5pP/+AtnWZg8LSurwwitBhSzGzD8zhS8pmGPtJNxaJTn3rywj0gNlPLEx9UPJx6jFtYBrAG57SPgmxo4DXm0dWkDO30HzS7Z7bO4tbHvhUBHMVpSfA9NeZ72HFVl7srg3D11NE9tzZPoAvNqzwExVNVjo0sI6nKR0mnZtsuZGDzkZ2ZSNw5u9ryZOi4SQGH2XXoNGOIl3zwX6Anv7MNVmA81/9bkreYURA75fWxLE9YdAcD/ACkkTy4yjQ0fQ5AJ0JWsTUaWMC34GVdPesXXzhLMGst92yI2+ngTCGEPiSlgP+3Jm13FJLBQ0if/2/8rBdiDUbrC/yDsTJ4IWUeRN4RaqGi7W3/RW0cgee1aJhyxvQianb5qXd7ojb/rABVYC/QWM8O9o9ZdB7Auk0pUly4gjMn/rrW3GweFuumtZscVj0ZQn6ZUngBibCp4qTfd57exn/3gEAzNZxHpem9llIFzyRBg82JDvQAj+gwUvWe6AhpgCw5QKeccfHNj7x9i8fgNmyqD9+ewBF8LNWCiMOvshuXMA6R9sVVTnwbE7M3WXdihPoYzXsVlNnyIALlUZEsSRKw+UDxmkiPWiTHrSzsINj7D+J/qszv2b9lNYBn/DID8CLx8pW4AnQRwNeJF3lT/PcYvA+DLAtzMFL8962Kz5dS45GGJtvWFUHyUguC/+cUfm2dydTf26e2QNkSGn4d+8G/HF/rbukVyIZMZPgmaZIFChn1nxuQC+DbnewqzXvZAffDXTYvMtGfAM9YKlYOpgmeWUnUe76fQ4KjVrbFPgJsA0jcwfkNPx9L6fs0sexkAXr5KfpQ2I6B4M2At0wAwYmbVY0HunRno/KTR30KXpk5hGr1xaliHxkPWBRkezx2j/xCr4hAN/FPMKLL/BWzK6H8lX7vclW+ckBVcH3Gzx0Srbz5KCv0rlt6hhvwBdwtvol1tIXUemV+TvMDa+EzzqkVukxG9avyRIOSAFjBLqcVMZfyef7ggNyhEF9efP7kf7zQLtz0KStpKrHLAOPt7FK9+tJuqSqwW+k0bTnz/c7CVDWIHzOYxU3TN/AR3ynAm2UBZ6IcZMbmaa2fz2xZAffPaxDcj+yv3wA0FxkA75qSV28q3U7NOC/gbuPMHa9Av1bduCEXXJhtmIU6YcIL7B2+Sx6y5IB2xyDf6uptSNh5taAJCrOLMDWW93b8LNKWxX6lUcEemha0n7p05jviEYRE/osXRmoMTmmZu+JEVhr4C2c3sID6G2mgZBBgzJuE468sjeeE4W8Tz7qGNQD/XpwrT4a8GRpeHnQkLzOic6CJaValQZMjRsu+wYlVwXemg2tnztqgfleCK0i0csFngXWD3A3S1opvjYs2l6AA45c4DG10JXDGksjbLL/OGCruVflmrq/l7YBPEINIwt1d4vJM+T0n/uLh6BdYF7sQX8cqkjLtFe3nMoy68z5Ao7Kwu+4493SANl5RL6JDe+TIdMbbywdD3hjc8er/zgi8qoVMdpiPjgTY87SwnMBfpjemciTlk4q0zOyN7nx8ycfko8mvG3oAOs30FEDGFzFgGc2HsADjXuLbKRjJ8pgv0t+hOnHNGqB1789vady0EFabc6Neln9RQI7SGpqGjOYnS3LdBLhSL6ZcZCuHwgGOsrcWwTHK02vNtCQUniWyQloAlligT/zaGcbvQ1+OqyG9LWWf5RIPayB80Xzm/Pzq6XBM5Xg0Y4f85sQ8Nwj/j7R9js3/bRNRETR3E8BwdT20X5twWfs7N86Kj09uDPvwJMu0i0fSnjpif31ogVfIj9z5M+Chssx35ocmZIGSVr2nqUoBr/Ms4ML2izmpYgB8YOkAn+1whpAwN8CeOIM3viRF+WDOIsUoekvhHcswD8Vb99O57+cpR8yqPUU80+GwHOu+CYdYLgueYL332HWUhl5FyU0qgMUn8LJgs/YVwFipo8pt1OLMZJVz3lq2BSfArNLkbi4kysXNvgCLMTwt1f56+MY6j3wXF5uSwo6ci96bwKsyZXgcc1AOwCKnvrJtHrdnCIcw5pYctOT1p5SxhHH45dj+hjz0PJgrlwAN2/75xYU/vSUz+1rz0GA7nlmK0rYsLTEsvPG1fzE8MpDdU2FufckCzxso9Jkv6D2QGPyBE1ViiC5pLZ+Y7Z+Mv7/mPq27VZ1ptlX4mAy4stpg8DYiCB0AN0B8ggBgYlNbMzT71bW5/z7ao01E8cc1NVVUnc139crlnlBrlxowh3jdWqvtGhDuLf/m1Osf333eBK2cVPI6AxcpAY1xoftBx4R5DpTO/K+JPrgHt1/d84m+Dl6gJbdZF/bL9lz442/yXpvEYW6MhTnZMUfpf3vjn1+UetfTnlT42XDginMhfEFUH3Tl/fTmjhl0V4yh//UjBSQu4+qk+hs1IT43dvgxOKDmd2SWO0B3o6EHHgE3kSBh4laaLv+mgcSBNdz1LzOU7rajk+ghZJ64ETZuwBwuhSo1WdzBhxsS+Ji0CXqetZcJhCbWd888iDweNf2oBV2WE++mUuYMwXvGh9Vn4BGvi2MgSZ0YY0Py+u75qTAlIVqPkegCwJcAjZ9SdbOYpABtnduY2k/NzOrzXmw4fWsJcycmRSle3RKl1poxJqPUsvvvN+ylJuZr8hI2JYBCtBCr69+IqBVa93pPe7LDQk80NmINK4iZ+ALxvNDUU1UpLlC8E7WOMwKZcG6xLnuTW8RyoUny/5gg84uINbyRquyZpMt0VSC1vppkHqtw/C3HrRTgKEyz4ED5HT3cXrezJyjZ0OlXTn6JzHnep1+5sO0gXf9AKwbxBAnuelBtRb6u6762YMYfpY03qh+eaMUQZrku/xvNsH835zUURHIFf87QyJpBWqgCaaqCex7I7atKtACGvdCne2ppqWbCSTIr58CcSrgsrXx/3fiWDneT+JqCnrljUbllfufV4F2+I9j++qYFMRN9GSVXeucufw2vWjMxriOkrXmn6ADZ4eurZMX+mb6M5nbRqChHdlveykmF7Txl7KmrkY8PDP7Oy9Uno3qw8xFAwx68Y2ockiYhpZHYZ2mzDN1xhNHzGNBZomhxSRM1rOvk4rvTtQicRrqD8DcpGQ6FcVlyZm9U52OIJcDhs4X3m9/gHew2uL70uVlBtn8FV+YeTgf4x9TD6Y0vDyX95mZj9hxKwl6c34xVlZ5TfN5nwbAtdfmTlH2KCnopUCyumPPyt4NUjDgGZPHhRedI1zh/fYOWH2vNfn7LiU2dsb4SqP4WvN4qaztoaRkrs3cDY5zEvI1A90lKXPpEHg1rNdKsGdmPbzG2t5yN6bVKCnoFJQHGpM+Nj4hX+dIwrNm7tH6m5d9aPjBoz3noKk3HPQs8Hpt5n007N3jUWxmiy/ElZDFPOO3H3I3foIat+kKMcC4K/jFNWcfhvNjvUOpkN/nYI5hzYaZwBvg0dNL6+GIF42v92c2SRy0I9cxAU0oSM8ZE6TIneXER3w/mrlIDjmdA/SWjM2jsT89Ebb3NNg6pIg7UrQt8KM7d+yerjudGF8jm7CTvXudtaUJVT+gXW9Gc9NgXrA7uQqwhcL6OiNkk6jNmnB5YltZCqkr4fFKuuR6tMmN+Rk8V93Vrixrt3FBiyVs5YMa8VseHLyT87BK569WJMjtcqViyZiL08RRc+00G4i1wzngxvs7qRz5Y840axHbtMPDeZC46hI3CbQngFPXonnWhZ5yF88MtFnTJXdpzkRGfhOIWJT+7UcBw5KbVByspG9Z47c8sRHK2GGBPPl91vAsrNgyfqun5zYz/onwTLTMzZzg9iPrgUsLcjn7mWVm5gBml6D1nMTujVeRzQZdAh47f5qIJndKcUQinGOU/VenKWTcOJsHFokNujIztcIckTfgfoJrQGC23WXa+EGauX2lmXHsAO7tae+dqCvD0yrtHLhyjtBdhdtXruxA103nAITqcwtrrw0qH/u0Z0BS+AdhZt6YdEQnI/7br9O+QY6/KXcCrQXfHpJWhGzJnTmuAgn3v6WNaFfQFrtqRHvKpeb8z0uHJevO1BaEsvi8S1/3pEMH0KeL6IBLhvj7v7o6gGQdeIDroJ084814Oxc8r8Wn3YQ2z5E+NP3hDnxoJE57TBm+g168A44SavevZ9ifnIubcQI8g2syqjtx5lNjT3vD8YAP3BLgd7g/WMQiNHc0KJG5bJhsgQf5tS2/6Egi5ph5q8D/TN8znx4Qa6BHdIk5CjP+6k+Z96A9bRxqq0KmH8q+1xB/3G2cKiIecGKrsrSVWUsAXD0trcXN9XSHlOYnDHLnuBOgh9o8LM288p6ASpF+XFQB92QUs6THNhnb6dULI0e1IeHnHXAB1/1EeTRlgrage4EHmJm5obQA43UTIUQhP1XhwuviYtNoIlm/WDhcKrG/mXlJOWiKEjMMnAjUut61VZjY1Jn2r/3D8/B5PVlkMvXwR8cum/y2Ar8OTe1OMgBKuxy0N0agSSLDq2q7fUoeG+55ajq1oXT35M8tfO+np5jKq8Ducj/eCB84KtxDZv15z4LuxnfckyW3PA76vicB6IwRPSoWF3xEN8jB5dHBz9zCiyriBY/614MjjSQ+j4mbuS1E15yAtgdyrn9KV94w5JUm0FU5kjtz/uaaxfCcS4ihXcXlsWHJVbApaAT/qtjBzm20Y70MEstjUl8egA1JGvWPZtRShMvlLNB3bS1PNra7SrQLfBblbIqb4HI/2sCz7MuaFC8/h7k9ox7eSTtz03sH6Yt38U0Aczt3gH8rHytGdsank5m5RvbUi0J+8d70vWz3Z1gPOcK80RKYvV64cwOd0hrP4bRGk+QaL6X9mvE0Uww5rrS2oIdtiKneAfwBTEMd5O4eC27XfW/XLr5WdvzNrPl45sqm++0hFdOV9gh4Lemb4XPJeh3kCBgf8BHsXizAhizrSVXz6bXPplnIezPz8/i8PahjvOm3OeWNR3lc0egA3OSwgNb4Nl54zPjFfM0/cF+TdPgNU+XR8Z8NOe+rdvAh0QiCN/4hljcnAe5UoQsyktcZh0yGx7UW2xA4/y1npir2E3LvPMP1YuAy0dHaXoCbJbSYiiY8bOgoL3jQxvg2YExSHMR9Q1WcBu8bxSd0FonpA7snprdDmN5o9NJEVyLUVbH3Z9Id3GpYbmb2ZOMsNsRTmTg35zwGT9zFYYM+gWtBjhiRXzJ+qb62GwGaHvQPVX5gY+dyh+/Q2NdFQ9vS1L4pn7lq8F61xJa5EyoeVxpu/Rp0MWCSmRfZlX1LgbcvgF9z7cs7cFonY3rInWZNus9H4xJgGfHjaP9zqdOCDpMxYOFJhnpvciGHd8sZn1VPXj0IlnJs0DcoMnh8XOOLYAq42GTqZk3euEtrs0nWdjh38aMcpxsv0C1HSuN8+wROHNI+eDQDe9SMxykifuPgGDROVIEOq7p+w/rkdRaAACuX7DnfFfDJxFl4QuOMgG5IC/INOoSnxe6jYr8n6sdzpBxl6Q1b0V4V/KCe85cIMhf3ZlZs8jxaXtcA1omOeaAhQIjiWHby1Rdgn8O5Iq7OT468i95eT2u5qCh4wHV9CQoYwyFP+hJirbziAngQRYejBbpm1FXlTtW5j9MKuAzw3zSDrEms92fDtgnc9zcgRm/Oj164UfH+UWu955H2yMgPkGODEjgQLozfFVpw0bjSz2yBPtcEyZPk7QezMD0zc863uddmNnShgt89vqGNlUXukOeySkBkaDIBT3v1Vrwla2Pma/SJbXpm7A549C7jzNSnQKyQA3ViW+W3e51vx9LhkjjTG/B3NzGzdlxiVxr3GSsffJg+IA7silnP2pwB7+eBOt6HCOPXvk2UOeSj7tW+QiDkhm1KxbvpY3ojoTZ9Wm8p+remLI5Y4Jm8FwqNnyKUXmIZvaB64Ho4DeO0GWUGep2YNUwtvjOzSNj+dj2u+nWWLelAvkGDsmokgXKkxfXOwR1wjgHiJro8z0V8YT2nZuaZqX0Tvec1iJ9SLq8S9JN0lq/KBf1cSEsK4E0Fyfnz/YojUwcM2prHf++L91OfOHwCLjjmYrrAGksxaNTMRn5uSbiWzTN3CMnsFq5/qTLI83ycQtJlngwOj8YnMdXTW9IZ1mL6vtBEHHWDeP2gYfPMKF5euRIgwPgb3pQFsdsDDPYTg9yVSWs7JWPgAHf0zlpJbnzXjdfocxvQoQc8N/7m20cS2j9JpEZYly2naEyC+ftk4305tGZe0RcT/9ejqoItaMHdyTQvSRtFoB+f1aAGyOsWdt6tTEgiA1TmA7zbQonK4kUOMY2/ZnOG/W18mSAHOTzqAae1I0Afyv3NOVnY1Loc1f7PP2omHUlSwEk54h1c83cVlFfQb5EI8I9irQBe0WYFYKLQoJU/jTYx+4W7zMwX1Ydf/8qjvRtxmAEX5qAM46+yk1zwKZTO+zXT+IXzGehc0FzoLaX4K+UEshkG/rGcqqFdeIi6zJmKzHgdQKw0oMcy429qtSHow/G0xsejG8tEEE6/IC7ceJYDunGxnX9rBge7Sgb50rC97FACeaJNId8m4e2R0tjM4L7gXovcjnHeS0kCvMLntYjiJ9X8ikW8UF+aPpSPKmzWxuFH2aMPyFt9QtGOMO6Dtp/qsHnk3e7lYXIXPHGJQLICDM663Vc5xBXWcXsObtbvHoLxK7al0XmTtM35Kn7CU0ww3/1PDyOeOdZCmPfBRv1R9ksFXxfi0ItYoT1gb+Mrp1ARmHom0nBOpc1/82i9okUF9rfxr5GD94aLCdDB62m0S3PfeJS2eeJkNguA7orlICghVW9TiuITheeQCb0yGxX1KoEjBa/6w0iG+L+aigjBusB3wwlrBhFS8Bh0HOB3e8j9xM0LOZSrfmMh0sAcHcgqdu600dElZg/R1DbFOf33MDO9yX4L3LDdHF3gd/300ilVSeNd5XK3om2gRullppZ9AJ4L+Z2izyUJk2dNQSUVh//NrpKw/todC+BnSC3UeMHR3YYMStY9aJDn+/K718kn43lOkwj/+RKb+ei5rY8lP2zqyFiYx0I6EGf804EcdGqKNjc1tcCHfnIbd8DfP0BxHSoeQ65asNEKjWM7Ilh+yhF05YrvKjo8MZouaTQdBZcvbZ6bumnIkaDf8Fvp4IlDnpWhOceNGbfZUrrM+AbIcvACiB9QdO8raM4Par27wDlcIeSGCk+fI56W7N09Olt+cicrDRqP6PJB9KsX5rYAD7udVn2i5uRsje+QdQpqocj4s5a9jWtHH7JeRsBfzayUU8WQlQSkyEZkfAOS0sIE+A7kZ/i9MbiCFkuVj+YK8fZk/9cL+tqPEiH/pg764gOyTE757TcrUNUgfats1ZUu6B+OQIs3DyYmQgdF4UXu2Li7Q7ya+pji+Hw3M1dAR/IfELkB5vyr1NMXCZdfb/bXnl5mqaPJ23DdO2z6UEM08r7NcBhjMag3bDzE2XZzDpfN6XnzeKc3OMIk1yRl4WyntLchH21qp7W4tcB9Nfd6UJeMTR4BnptBvnztpQCjywHbhmZVLddqAN1Xiv27Bfz/cTQePlqeSoeYfGkBV8BZYfbw44vxcKnZPBqfKR7iod4D/waOU1vtF1ybFIPOQVEBh8evWseNHH6xEtcWfpouCWCH3u8eZJdcTy5wyU7tzZ4E4LDZk0B/exJs+7snkaLkiZ3MK7W6NQPqT2uzOdrEgSjJqKl39j9fnI3lwNNq13iVGv8LOQBG9MrvHYIuT7Zy+BQye2ehsncI+OC9Ao4K2D2nhbIajcO8669pOKHfPjpuevhVUUc7mfQSV/v3u3mXf3tfoK0FimPWmy4ZRcjQg3Zi9smZBxHqATvLBfRbxRybQV66V789IlKKTpbMQUdMmSVdwuoV8zNqZSpaG3TDz9HJ3ArWZcb+vDELDJqdF20M61afh/cHXGOY9/qgQO/gwY5qhh40fDjnQe8x4JDB4zqwrdrnl6RvQ97tfoxXLXN1wX5rW/F3Pcyb80CudaTa0rFf+ivJjBcwmj6UZR+I8W5adz/wvMLUj52yI+VZaNPJDu9xt2AnvtYM9J5or4A1bzXbWJAHdqkfPLI1eVAtS8JuwI0lScM2lAKwXv/5R3nMWkI2xg4JS4+vcSG4SkHnbirLvoKWKM/72czySMhgrzXwqcoiog6NZyxHpbjA34+PdYC8ytl+57o1MxKf2G7TKkRzEi7rmU0v7SDOjFSNI/3TSgpTT107xhceNHin2TlYbni/9bDGwMptBhpsTAa7Taz2px4Al+DNnUPIcc52PHeIwnOE5+s9pLCn/LlNBDKzPP50ytwUyFP+p0eGwyNxP81+n5NG+Ap/6y2jOhM0NpOfPRZeVuMlznJYu4CtPNSSBqVVBxoJHz9zpn3gTaPab695OMVJYAMnmV0yvL/2o+5k5UkeMI8J1NY+AfyLn9yaWBLGj0ZPh9JGb3noOYr2Zg771LhTBrr9Q607HwOpPlkbWwCvqEG3VGMbQ/xMZU9c4PnwzACnff7yJZaqSzx4VkfQPjgfd1iJmYhwfhAfMWa8TAJvQ221T8aJcme2IH7XEp5jHiDErcMzj3aXM8VVGu1uotNl1mnOIO4qYd/gnd2q/8Petgl4bvprZZFd02Dj5EUCmiYm3LErJYAjWdL4C5dmD6HpZSxdbLz4XdBQF+BWaS68A/alqcH45QikQ//5YjjkjdI4NbVxr+8qgcc0OgDdqxIO/JqZ3p4CCebooe64BhaiGeRBBs8pDzz4fs/GLjzv8Z8lTU8vk57Sn2Z2gFf7/0DzkJIjyWiArixoQ+XGz7817+BXPUbUOO0O1ikz+814VU/Q9T+Nr+YmutxTNlNp6oD7ZTBzm6hjZkvxL2zFHRH6UJp80Mu8QeSCkTK1HQWFaxWD9/LhvIpw4+BI/8A7/64KTjAwhircdqA67vBvKUEEKd5m8K6NtxSq10/gPyjhhalNU0SO/Hb2VcpFdq2B/9fsYebVLZQTnoytQxF68flv+Py9dhJXUG7JwOzf4aPx1AMMsbh4XxqxXXlo9pK5w/j01vjApfNfrw+cQO5OnGZzHg92mt+8qriAJgYtpaWT08OSg67gAXmdfy1mrkopiJ0NcsNHzLA10SqU4dFplrOYcwmaHVNNhQ7c89huqggD91TC7MEqY8EdoJ3Kt1+yaAtWTPkZ+D7kJ+dc7C5c4P7oTC9+OON+fqiOT6BNrqyffxJLB5XwCrXiL1FMx6ZQCbwHQjRyZZAtHHgZCawN9bO1iXZfVMiwsg82cEEEOpkAzpszYwG6/AnfSRo2vfbZAJ1I0XDZAR/MAQvDRkyihLxgZveWDjL93BtiwTtD8fXMPAQ4PRFrRkLoSx6ogCPccq5/IM5L5e6ucM8SYhS0jbKZiyoaxq8aGHh/oNQtLSurveWusvKRrcrhu5Mdd8rGgjrbj7r79HLj5wH6lketzs38m68b5O1Py9QmEHivxOHDWcf66HhVYtmgZbnMXPyV+/LVW/HFRknzDt0Sa+7OBZpBe52ArzwwjxcRQT4BPgOctIX8mOXsYjy9ZWK3mtiqpxoLWENlM8aHJtRjJRpbRKgTgQxE9w/4eZyAwvmrWYI4TaiPs8bfTbz7XJNQMgU6Q0ZsLbt+BWz6kpD7eIeY8WOQo8z/zkRCTM/DFq48sAD7ZcIUaDF+44W81l3jJis+VPnf7Ko7Caafc2cmtNi78wjrOvCMn8abssxZiKlhel9FoV1uoUtD430axLHy2yLRuzsLF+DudqcGzye2fpq9MqoRr1b+wYPFxxF7AMN96UrvzLbGD+qYuNKhZr8b6SfrOWYaeLQA7Oj1twoaF9ufLi3IW+WamRkQ8WMJef73LPYImJ2mfu+qQR6Nb2bW4SxhkL+KmMN6fO1v7FUUX+ioNRNxyQHXGTN62fTVe2Wjyb4Z+Mz7+WhMj2kB2sr4K9lyEbAeMrGVdCyfbJh7uKYHKKknaPaMImknHYnoaDin/JvnW2t1okjbROtHJbYI62liv34LbaasYFG2/gLd8sQBzqSzRBDrjpkhmQl0Ywj3ma1Gwbb3fJVV1W8p5OMPbEtENGGlRk7Wzy+dcmsEp8KPq8TUoY3InPXkwvgCOa2sAnVPEJqIkOZ6L8B3o1+P2sAG3aO48bvNg8NSFYEDXMP0/BQVn1LuSwwx3GIE+q9vXtymzB114Ex5pr+81Lucm/1RzZOTM/HjivbliGbQSra0tF+FzMp7O0tcc5a55XTdAUcJntglb/n421tME3u61/0CPNjsoTePutevPSJXCeQk6z94foipqLFNv4uMuEyD6Q738pYUpl8OF3nPPeAwpv4N4iCm+fgP8Bb4CmBZaea7s2ylLke53T6OtiYlsBQF+EIG9qqpML5WFfCHXHWQR80uMMSMYhfznSgftnMNAcjZ/I2Z6UufMQ3kvfr1fp1ugPNjGiC7cWIvjeQH4epK8+0PrJ0L6HVzvp4l6K/HRwDeHrN+e0uC91X6qCWOjhWs6azbWRVgBuSHn0STiDEdpqh9o/A0gR+CtpwuwHtS0H45cMcxcbGX9ajMwyXLRjIq5u0Tsf2Q9vTSRDK34mfm6KLyybPm+KYAT5NV2aDpehzaFtx3C7rqmDnyBzKcXQ43G/Sd5LYKE2GmGExVs2pTa9zmYgs6aM4Jgmtly6N0JrOH8+I2H9UYnxL3sGDL5pC3N5DXzf79U0GuVWI5igEZ3TGVg3VlUfIse9BmI7GTHstz33rcRoCXuwHwFvgk8SgjI2HZg+y3JRsW2+ypvPZSkrAVtdtyAvwO9yhMwgl4oCxAvXqZ07pqRR9nyjEVcQrX81N1gUutFjI4Oqb5u2fm92XU+I0kbmNmIQbeLQGuUA7Br4cY8KGXdriVY+kcHTXlwGzOBXnygN1NrYZc+ZIMai6/tptUTFbiy4xEB0vCu6jC+dis8ZNZ01KK+dFEwKsEDusVBcSP8dECfcDjEOKZN4H3qmfrFVXdWRDLePIn1m1T9TpJfP1RuZ9uOeiOQTxRN9hkg55qS7cQV5ec4wn4bFVDvADHP6aCTJCP2srd+bXNIQ5tpCwvMH3qjf/v5fn5LMd/Xg74L3TiYebxepA+5Pk7cy/Pk/W5AqaINDT3A9GHygdgvMDwjKqwrZidgCbUP3DvB8wvdhppzIMWODK5l2J6S9Y4yunny5MQnncbiqJdz0N8BwxE50JbZkoYd7YddeWILW1LewcaIAZ+6LlAFIpkDexmIMAVD87RZVY9vFtKoxNwlpNytjGD9Qk8KW5sHHMfvfxFU1gnP/A3jf/rpvEx5Ta8U2F/MBs4i1C+mSEPsURB01VN7x1rWxrvXox9FKn1sOGRynKHmHqAmxSJm8JapxFOWD+FimMfOMtrD7YTHBVNyHk+6jXpkZm5+c3tna5d4poZhKY3H3hlno/tnun+CpjUlxbaq8DmUiyR7Ekl+4nmQftT2WqDHeBUTnKXHcEl6PKqV399iKpv/XLN7pmt97Jv3MzZHkv+aWphK6VxnPBmyW1gnEW7Ex36qcd45cP0Zmo3TF2D4rsf02uBC77g8eIIrX8A60zfuyYduZj+ov991w4LNcGaSbKBADfcPgX8LbLq79ycOwQz6OTpOzd8hCK/cvAmCeSJ2hc7ZxMudeYIhPYQl2PGtqCX+H++WKixSt6m0ten/Ovlj327H62t6QGxsX+4mzkXieM9myHWQnjHczj/4iN93gAh1ZuZa5EE26uE9XPWU5UMC29G+WR+TBsRY9B5R+AbfuID3yvw15nuIJfvXnuVH2lo6qBsSdZg5XyKqiieKo4hc5OE9O0hGeIB8K+nfWIRJ7CA35egpSV+vjuNS6ak3/6kvnoDHj4S4Ewnt337PfMeONxinCeh/T/sva3Nilaq+ZP6mqm+vKu1vNNhOUGO0ok52+iRR/vlwQPjI4lG2oOWEL0jIrxvbPmW93MqA3Qshb6ebNmVfWzVBSRdAZxbTMCZ9eYvVzLu/s7tcZBPg2VuQjnxwDZ9LrTxiblHNxPLhvm7pQIeJtddySnR5vxVisnOVnRTVBqPzy8RTV4CubYOA0dw8g183m76l//8bcmMn5XT8pLqHPAFWHicVjy2gBvh3Nm4v3Meh23WjBxytz2Vpo7OwodSLDPw7Q/aA49xbp6ZoUGcKSHhNpLhkpozWFiPqFrb44v35lF7bDQuqgC07KAl6G+CneU7eb57pveLa4jTcAoTfVgkmzzFQeJF5b2y0Afw+5805B4N3p3U/3xg13ioEV332xH0p8V7IrJh+9oHmKTzec1B51VsbnOkb8arMfF3M0VK4rC855yUwk+uMrCest8i44cngUll/WGtR2X2e6WCd6jYdG2iT7tyMSV2ezF9FMa/ia/ti9usvAMGa/bIgynP+8n4IZM0nEM2KrsK0T535ifgSZy5zQbwxlJmvtXIj9QBzFuDpeQqPTPtAwdixlOfB8C1zb68G5/OUWP2l1766w4K6o51S0sKCqhgjyZcgNeQNNckVpqEQsyMR1rm+mDndLfDoCsqN/HKou3o2A6S6Qvw+WOy7qI0vMB1NC4TOG+cjckTGz789cJQaU0PWC9jXcgHxBkBfYZkwCc68v5MlQM5YIC8EtYhr4gDHIJzR4YSNH3/EKgx3gKyZtMoLeCtGrPM7tdcqA/maspsVZWavfLXXQQWsBTrLjV5MjQ9TH02XDfwyTkvh/itEtJ4wJgZJb55JorHx1/fED8uzlyZPfEEtMNahzOv7ZgxG4OWaHHlzBPwrQn+/4W9YWlplrmBBbiMlL44JSfPJJgPxE+shjMrG9Tlf/1Eg+mWS/fzf+crov0yZwAieED+lpesx34dySddiZU76MAtEpQDf0hdvuqjfozvKqwbr+7jr0ZPWvr9ggH7JayP3NFzpqdvvqrKeAhWUfu/PYc5qZj+aawWlGXbAp4w45meCm+T6QPox/nnTAF7bQ08C790yu/5fYV+90oKGaooLyaS8swpLchFTCI26BNjLZagcwRvZzO3O+8f1yRqM1CeV2L9N6+yLpJHtZo5uaBph8eTiknC70DOvr32HPJ62DLJYeWNasMNblitnxYk5KO8wXN6a0JCygE49sins3/wSME2eACOXaCucfBH4vCWRBfQfMrM5Mv5qh3qZ5vjE2IXODbwlNc+9lEYv2ekk0zEI9M6PVnNpjbe4H75SET8lq2qLQslZLe7As4SamZ9CQR6+f2JEWfAqcz+V5GN8Vj7bVyK5gm8uso4d7nd2BX687g7lNZUVOvOa4Tp02wXotsv3OGbMN6LVpwSioMUMDV3WwJ6sZW2TGFd7hNmtjXijo0T6FsEyp8XjPNrSqWZdTnnFo9rxg03eWm9OxneHyLQgrmNI5FuQaecJCudjM2wXpuHoPykmJzN/HaO5KN5bi8Nwgw0fpZGylI+nhIue9nxLrPiXSJ0cQ7/62ngwdQC7r/OOK5k+LSE2R/X0jazuAkyOIKeTTjnjP9bG5PzCvQDefB6fG7fQMMMsue7JJyLUry7SSdn5rQtXdlydC+eGPHzDKk8KXYrA9wTevfKX8DP/21SxImMPoFnkJ46My2Bm2I2PZuCd7+eFX4Dmt34Km6PZg68gp9LGjiA4xfgnaHogHv55Kt02JLYwM/D9q3+2hrf7RSexYuLAjYuofHbPLnlM9FTeQbNC3lfNH35gDxxhbj/UhF7Vp3EHNJXDRw+Ac4K15wmwfQtYRVLa2tm7b5Vvp5F4P2cu/hkahCxG+MKlNlf3ZezdGLwgBcsu9LhOmcx4ELj5IgweA/G49pL9++wdpKNedZJx13IAyfWb+DfZzd3OOjk2dQU6nJsN8CdTY/f9ejugPe1M/Db19oYcMidikvgSO0p9Xcx62WeDAQ1o0YCdHJFd1+QB2wh7JUH6M4058oun5Xm5rzvqeD9ZqOpbn88pRs8cIRj0cmL2YypLY9I/++M/glrAZ4XaIuOt5XNnHMnDapEkMM9NhoN2BIRxl29N3ve7HFGh6eZG9RYqmJ9v6boc62F+m7MGnYOV2pZoK83D+bKG+jGBQv+xze4i1bJDjY2M1m5mrCpfUUacgx/ZOacKJSmZ+veFESIHrlmF5KL2C+ZuuXO+0Lcdq/W+Ja4vG3YvKE9AYE7HRvKPNWhR2Px16yWO3WWPR/bnFi98W4xtfu+soO75P0quvjWBCongjkpEDfMIJ722w8eZCsd1SO3MKLU9BnFAe4ONvA7pxKBLXX8Df9+5db2wCL0Ok/5Oa3NowFuCBpnaLrmih1454Xp7+6BF3kL5KavI3xDbsciD9GHCPkxRbsC3vtYFbzKRKupjR6gPVw8qgzyuKn8fCPRLuKDjXgwvzjAzzlU38kIOXa43BvGT7z3ulqr/ujIBx6W3x5WPiyytuSuGW4b4OAf9XB50nA7Vb2pz1emhqiEOP/BwB2zL8AAK4Y1qQA84w2g+f/qRW+PJNCnisbp2fSKWPA+x7YjzDuqYfvRaIhFFufKksejrbvS1pQIa8FIpmbWA+SZU831KQGdw4BHpJA/syKWwL3LqpewRtQb0/LF55fE9BiFPSByvBO9zTjdbUBvRdmIlibgcRUoehY8x13/YEN8IbAWqfk9NxYKuI3o9NQY33rgT9XYb9IiBr2hTD+sy/p4JBZ/9QVEqcDPmn6uDGJWBu1XQtsBa8O5ccAsJeGZS1MRD9cJ/BwdAT98xrwY8PIgwvcHtcx89IdTOezJbJ6ffWZXwYRrTd5y4Fqib199iGau5jdwvgcLQa0F6ngO3r3SlvCzeMUcVCbEN9znTrkqqaOLjYX+qmn7cUaNU43tkRoPCYHDBDhqtuou0yqt7SlkA/+BFf0h/OZv3yYfsCMgTo/OpysjNahAIk5bKiLAPIY/CNo5ps6sHLldj8z045jaTLu03lfJm6fpvSeg9+E98xJWbu0qUlvolmt+OtnkCZr+VW8j0ghic1g6LDLj74rOgc3OveVSmy8nu/09N2M9TrJOWUnXPMuOedTVadUdTEVaK0V8ypyNLaN/3pnzE7XmJ3++r9hChhnuANte37UBvAvycL4p0A5HyM80aE1t/hcROqcFToAzfZc8Nh4KP5WJPdM74pOfo73rzkixTGxFZm1zsd++JSH5qHVi0UF9n6P+Sv3eA85IXnvLNd0dMkFsHvEAh1tSM7JATm9rMe8xA45jsU0zKqfs+jspyMQEvKOgfNSgC2C9L5VD4pLjKA22Vl5weR7kCXJcin/nNQM2F384/+CcMGrmXAX2iQxbwDhV5AP/ygOMVRe4bNi2JUcCcM2DfLk0fLqAzrpLtnWoWIyjosc69VMF/I2IFvH+cm3ojme9TWBleWetX3NG7s1+e6gHb8ptBbHWPErmHYz3dUKDTRXa69GdNOW8gu8HEQG/M7QDpQk8x/aWOIDt8F6VmI8s8NbaJt8pNT3OMql8jmtOBsiDr7ObjHXsng+3BbTx8SwW4E7IzIv6SIrETYMlFwxfWIFutcBvgCNR9nXz5Bqb+pzS1APzIbHk17uVRhD7oY6oiE0tpZV8bXvJvLyytq+ZJu7R4oOI2L3pdkseEKtk6A2z7Y+yG+vkxjbk95AVPDQeVMmKwiq/eSmLE+7/M16/F8C1ALjoSiBpGf6Zay3FiNpG3Jw0kFY+vubRz4zpFti+dpWzZLk9zedh+oAsi+sek9yR9nEtnSqfs9ycm/v/HNK3xqPOyfdbM3lLSwpvjOLvxFcTD4k5k8C529gNVR+1I0eK0KvfoSX9/MYo97DdfhCrzRJ3d6uf2++T9e6e3OkjQeiAV+BgPV9yNK2yw3C9cYH9ncMd/kzCzQZiHgkzk+E5SxK0RTOgI+69qhkgN2r90ikQt/yNIfY4QuwcXdUdVwW5BEW/58cDsU9mj8PVp9LxdoobLg73HE6iEt6VF7qqgOySkFiNvjzNFHHQVLZ00JLAW6oozxWaXng4nEOQJR06gr7Hxhs0EbBGfNDXDqwF4/FWkDvjwSrG6QOwRNRhW9XC7uF3QFMcPNCuK+ihE9f4kQdTRQVwJ1e5LMg8yKGY+y9v55tLgmlIQ28Pa2IGjnY05/WA1xAbCNb/1lRFd8JXLfAEBnxvo1ZQNJ3eZYMsKW8j/JxTQA8HtOaaD1sz//kphukbd7vu149tTV71bAsZ0NP0meZBy85ftyUrCE9Bd1H3YPGouTPUu0fHvjfWNCXa1FzcPNAmy3nY3PNgXs75dgPryVGAtQmHtSL0pfLxd+qD3rfN/NA/31R2tOFv9C2nfVwdLd0rvtNS6+eZx4UKEC0tOwetj6ilDmaGOfBbcrQ+HS62Fu2lBzrv1FDd1czTJNIkXzXkM3s899s3FmwWqsmrtiev+MVruMxBNzzrsT1ktMUkIDvcb9dG989s+ITYBSUaZg7ju54LTpsQPTO3HSrAmjPiJeRAnWvDzR9X7AdOPQZu7vIB9zjglv2HvZlGXziADwjVM+NFABmG8cns57aZtdyBo/pJsF2Vy1cRehvQCMC3eFgDZjU8caRYHpBlh7rfOGcEGgYwz/RZVQXOK6oBs/96OYMM9PHvDJIQ+GwkzTwfM3/NbvrEykZtl+5lc7KIa+b2ssB+o6DBG2sJMjFT2renfJCJqZ3Nh88NFbPx3zPefXfB2tz4J5mektcZh+h5fnRUm0c6A11sBvZcuDNfygKenI92yrrdcdQGTGw7uuIDg581lp00K35SU7sGGgY0R0IYZtj/3GRrcwf87kAXnRKfIJXPLzzUpYCcy7VshO3X0e53tmz5nL+osL8E1V/wuT0XLZfwnDPr1zcr55F6sud2SNZ/nhrwBbjWvuL6burNTk58AT73cXLQlEQyBg6bvPoC4Lkan68PU6eR8l0Hv4uJPT0Tphwy4qAZ5BsNEJaWjImLCMQyvFLgAl9bXLuQ+EylHwPe4Ge2WnmHQ5SQsb8bzx4A2wtwlZd28ACD3l6eGBBnrGZLz91pTKN/K9WTz3v7WSHgO2ISuXsAPoOnhgZ34x9SDtiqg8Ahw9TiMHBVMCUKxePJ5THgigO5IzYzTl77ANya7HJ4NwM9VsjxVmo8Y/x/G+BAX3mHozPahZlli9yB3BQScg5ar4rkj6LAfZ3WTfMZN+H2VAv5XYc8zoQezXuH58DOoHGo+Hy+niFooB0O2mvmcjMHJwTe47MBFs+46+HZ8Dq/PQTKnqSXF+AwJ4bwjWrgrCOijNmzmU/A+vnGuZ6bCE11MD8S1so8jJk5/yCrDl58Pu/UUfTAR6maSn1ZSlPT1utKoR2tQ2AFxVQIthxqZ16OKxH5iHU1tFpaelc5MWJ+axGhQBAC/gez4BZgdb59q4LPexJOA/16zaC5mT0yUKrZ3XgLnyB/nVwCOolsMMSZ6qWZ2dbWtvEqBcUB8SUBl0vnsZYrz5tgA4iyezN1uxDnP2mI3k6WZcmIu6LgDubkUHevGda/NWZ27TATvxje+dV4BBAzj06YrLgQ4DZfkh+uJxv0Rfe58K93j+iDB/neJy5zkn6qgJuY2p572ekUU/UDyxK09fbn9++s2StXfii2Bcw8XCHGsRoW4DRTebLjwXi/Je7hChwmID5o3P/meQEaAdVltm08koELOjjffuEV3zOmACdaDHwBdMznM7PRPmeLmbvy0imgXZINH3gLf/tJ1tbKRXshkD9qjr8S+KOYBmvi2CEe+KNh8ciYNF6KIfCO53mUonYC0NCL6f8MeHG4Vy678wiJCj7But1Ps39/7aXczTzZk73bE39nV+uOncfJeDPMKshc4CWAediVmpu9P+u/uY/IB05bEY7vwCVo7uCfRk84/7o9Kqo2ZPx3rVB7bALCErFFJLBfPcUi4y2SYmsT1IIWkzZIcAsYt5VoXmaasFzLADDWpT0qK8E3Wb5tZfd550U8p2amE2AY6KUo7/WeImCZlN9BI+Kjy29HB3gJRa990QQw4UEHtJiePJDwwIFwBe/9CNprTQOOkmBaSb9gzm4bPqJTiibAVJmU626UzkyzAXTpft7kzNtxWBQlI4Oy7JL3xPQBbjCzXnVEIzCPmQbTN2DR5tz1Hul2Zq7SQvgk6tHUCfNMDnKVGjiErTfEjvc5b+zcWszZsC2HNuUOessKyamZ6ddvD6bzWAXem6kjJgHWL9yAmEKE/rsDZ0HU3l2pMw1nzTvgclWWz3bdX5asR4MIuNl/9tNiN2WQ0zLGD1VwuAIPZXlovKBgbVjay9hyw6G+vzwXGspfNRVD5iKRuYHb9MjsWYe1syDpeARrQssh/mYd/6hXMvCoPeYD6YkN2iOIjzKQYW01G4zMHIpkIaO+wzqPeQD6stMD/LerutiR/qsee37UgalT41HG9Am0r/EAXmGlj6THs8q3H1QQ4wfx3/kIgmeElFvq2Pg9tE2BEHBkyJ9o4JCuIC/YxlMXeBusCZnVbumS7s8n8A24cNHQwwMHW3FmkxYB6rJuJyA2DtwhBXCYCLhqJ/6by/msXB3xHlckmA2PEongEdyjJjYOciYv8AwY6A0zAxP0cqshZl58nuCQf2XAx6U1fyvr/a6K9udkbXc5+vfMzKy08HBPnNLUcFsEyf4cQeQjZVW2foMsCTjTGl4dgEYb8Nq+nZ5z9zsHCD5DhvLehK85WTfgRsAbQlym0cRMD6bx8hY+t0FzDRC7J1PXyPbv8JnNM+d6r762I2gUl4TLlfkJ8OrDBvTarPzkbnoeE63JeTjcic7M7Gd0dF61WLAOHc8BbC9OtrZYyA3H20COGirHdksrXho2jbmF/bInAw0Wei6UQyPTU8wxiUBDR+1buWJc/s58bS95pwNGd8bLIP7tVYnaF2frU9q61aq5onxWurk2obKB/x6bLj5AjvCFRq1pZmM07s/hxezJubkTgM7j4kyNb+0CPB54Itt2iZ08qkDvIFdA/us3xl+IFe1rz3ytVgTvlae1Na3cCdaz2Gzk3ry7pSDiYubxluQJGB3qMV/LZ+M3biPUIgS6ZsDYac/7cgBNboHe6pDfaNlW+rfnQ0ufR8aD+lWLdbSJ8f5wIB6JoLsScsOpAi5PzblBryYq5AT5EoEOueQO5AqNOB7UgY/8KnviM6F94PQ5cNqoKSSGvx8zC64DkCqB1VTqZPlbh4ABqenH2BuuGGcsWOK8mGA9AVe27K+04EfgBS1oToGdtgXN/cXg+uG+45zHgRgWDJrkkIe3+7nbPXCnXTyQuPbVE/7GoCj7m5VJQu+Dj/Kp3N2QF3ELf68k7uWaiWWSw5bBz1bsoBvoA0tarQPXcspX6UFsH0gkHVi7Xm1mboef9zz63Mh+O5eidKTpKfFbT+o/356oAr0tgtg6Aq+UzPtI3Par5tMCWGHmk6wsMGv/cQWO/iFBw8F3zondDnKEaxKJB9gywP1ghnYdRw3kAlKlvj6Wduvkw/uTrjvx4vPHVaLzuKsU3YF25Q/I4cPvnnKoS0YlY9acC6bCKlRChnIws5hAf5qzibTu8WrOJs4U2L37ea37JSX956McFlhBwZqi4FGx9qVhnQaRJ4UnzKJ4yKPJOnfK9C2avt4D74INaIBv0EVIFLKCvNJWiHxh0LMngzEWPpXABStrIqWYb+ceS+Iw4NfW9ffJcYOdfzWcC+2noOzwhKOY1k77wIgAf7WvSaAubERj5ahrEiU29tWKhzbH7k7C58fGWUYa2m3VEeO5vfuP8yyj1GhDex1WwENBew7l+Opfvpm9/GPOUAEcEzcB4HY/5Vmn3LqYhGAPpxzlPRMTK/upzASa83W35CLu8xXePbxbMZKJgF4A7nuqEV8qH10q693NbJnnLjZzw4pXbWrlMzuBXJyw+KsRpj4KG6XQMStOIabyjKoSD/EIvCyotP5pODFz6mAdlW5C4596bTPV2z/5MHtm3ldmAV5YW5+EcZI4ywBa6fUMHT5OH7IwfUaI5uGUHtd2rX10OnMZko60pN8KwE+ch8Y/C4nz8OmmQntCk1h0gCGDmTPR3LEjQcPpn5ODbWajN973z/N+Br73f3OlSR9bzI7v1AGtGOAN6eeYu+qZD9rPnHlvZrUSYU8Y9GnukoQX7UIdFUn28AjngFLZpi60xrapQ118HGAPuB5gHFprl1wE++vZH6se75Ph5jW2PBC0e7I+FqZHTwTlUiENKineNPZlUcCCIObyRizALbzwHHBWBd4JMGuqbD6xQhfceAoFy1UW0j6Hpn7Shn9jf5rozGaUm753S9li0GXNmZP72j/zXZ4PLZEIGX5EFdUp7xVgLHmALrfUsLma/Y86aksumg0Rj8fv2dqAjoRlz+pp6qrjb+X+8Xk38ePlHKKCDjwWBWgcikVZ7Mp81LxyeQn4viv59PitJR/0CvEWid72gSvGpWjvzJJr0smqtJYbdXcic3R5pjzPIeYa0HYKyRf23rg1b87M+0kYPomOZISSpUYQo+PUGz+lJLCedaQ/mMbA87e5dGzH9MIKs3/B9RHi/JSMGp7ar29/etaSMrEA98JJPsrDWZDX+ddPzWOvdHdHEm7WxGJmPuYP7tmiogY4A1nO7HYFDmI8tAvmtAHkbkx8HlI23epfH/IL4OZuMfMik2E787E9nCGVVvB5EbANcJjXM7SrXmOCguXsk5XB5xszh7FvQatPcH/TT0JbzSM+5jbx4dkMxJFvmTXdqGhvptek6ZtHY9mBMnWYQuXGpxO04QbWHAIdGwOGvWpuzcw1m4O2FxE6lv3yzOBuKCcY+JE+jzihhUzOFJlnL6kfXCkjKWAK8GJTN8me1PSmrnFaagVMZJ7Zqo+QD4WZB5wDTjGqX/sb96O7e6sZ32cusGU77oVmXla0Ox5MAvK5kEjbNPQSrKdUReRu6laIaGCtAs5AzCdmrs5glyyMh9LtQdu1l2SYBMTXhfdSA56/vsujvjkr97xmhLVTZBuI1yfoyCUbeKeYvEmLHJJIj8nwvlb7OaL5NqstvJheM+W0IdftETg3Zc5yT0O2EMeDqGktxZA23vhGV7zeF7M4pYw9eYT3sldr45paz3ZUoY5IuI0hRh+VG0tSyJG46FGzbUtGFDEed7SYZuZArgjMTBD9w/mOmVq32uUn3G9HwTRwffTaP/zJx90DKIGF3cmB3LrHo16bvg2OwDeMzmTWVjCXfGDL+CThSlC9b7628OzIkoSalhr418g7zrwksdCzHEHPBPyZuIl7pu2bma/zOicy87ngXjz89W6uOTGzwBXcH8RXmxcIcp9NjzboykBK5WsrpTLBnVqAz3RCAOcwe5MB5NdQz7UInmkYR+eohGu/3CnDTAbeq8bMqTteNoh/5FHwUEG7oz25qEjB9ZGf0ppj2TVeYnmbciU2CSC3uMR4VT0SMV1gnZOqnyvMFtO/ZzN0sRMqd6XVO8Bp1ybqnyXfveqW95lQe7WimUZTX1nIBm1+kDbKVJetlcOttGg944Vbwdo4d/8eXPxvtjo8Z+XH35kws53gvaDP9czjy3ElVe1oR/I4hesG/qdf/V/D2fiz83Y4WptHYm3L3I29xEf90Z2upmeVc2RmnpwwBVUG+a0eVUaBYCs3HmWQOExnd/UFGoS1Zu93VwXoJLWaScjc0omDHOlX/qI0n2euzdnZ7k32G9v04XNLPkqxveFRIhwuCNaUY/aZq3A70V5taIjexIAJFrjLHWuRPT5iMf1aYGUdYLzFEybwhTl4B/zhVfeFTm7rJCN+SI4Xuaqr4eMqnwM5GF+J6XDWqAIu+wV4KjOt1iQMFsWA24VY4mG5QBynTCMJOvOLaP1NV2WDZjlh1kZ0mGQSqld8vcmA2ZXBhqD9gbx+r0fcpqauzSUz42jliHQMOD628A1yb18N7Z1G7YUG5AicuGQDcSu/2ciodWF9i1T0d2Ybr5Od8c174uf21de2oRxBztql5L957FhBnCW9BdpOHs8dv1ZO4uSmJ8TmtzqYC+BPC3BD4/Bmg9bcSOf9brxDAIM3wtTu0v4ubQ2scHvBhSyV2740rFaWKkioDynb3I9Odj+LZSX+7pFwTDPGnFJMwDeXgTrL48y2D16Q7uy37Tm01irY+ml+W1LjG9hPvpnTU9vTSfjoQYLNg+reYuJvlt8JI+Ak5j0UuuQhl9hq71xYz0S3b7Ud75Lo4gGD26ScEDJma+kGVxzGudpvJ8YwYGHwkFofVDCFVUEKoiE38cm0TX9I0IJN9+dL/J1Eu0sl+A/kLWpqlbGwq5qrMBnIQ3ByTCDbJ4AheIwfwGePoE1vpWO/lQXoHn548J6D/thJYeq/isaGtRAJf0dFoR0FOtycU73uqx62owS9BGupN3V33OQ9lzu1OZMP5h/C4j3hct9Y8xPu4yLDxa+Cpcwt/QFc57t24hsR2aMRfMCQa8XYCtFvWxFNZi7mJuP4tR8lpIvNjFTj6Qw5wjbnHUOy7qrGVR9l781p6MF9bBlBWhgve/G1zQDfQZf0m3NvB4DXb2n0e+4RnZHe1D6vjOdR3e02KsCj8Rt7xRcT6AB5CfRo63P0+cARXwBbp9wBPO3ITnRYmr41Gca3vGtPZY894LJvwAEr9fuMtZey7QXW/v08lnYzHDy64p86Qsk5bEvj5f2qaS9/+3huj1rjlmv8kVMVpHxHkuD98esj1ffemVkWjdCVWp8ONjMebAyZUhdsmC85A47tq1MSEcxDWIMCZ+dR9USYPrrW1En+b7bO7J9D1eXB3CZGWYT2Cs/sCthjgXpjdbCtIAdGJGhcBty3prs7djFmWu1A8wAH3T6bQm2kboFnfMKz2XaKKnNaZmpjTT9x8f9xmxa4hsyGzZIKWZi94saPe3gG+izYXUZcAGPhLLrcqzFZOOKz6NpjbQOWMcIUrPd65acGsjnox5MYOVXuv4VZdp+Aeq8jfs2KPx/pU+a2Gt7Rd92DtgZqjmnrmVlZdDTVJp7xptrIfNsrZnrMZ8R5D7gzM9AN98rUGveemesM63TrZQNzT/au/a3LDBpLFAfQ83/1URmGT5WD3JEQrr+Xe+rKJ0GQV+3pCrc8Nmj6hgxyq1wUlJykZN1loM9T1nuc0PbZ9MnCujjNATuyQd3Oxmd5MHUq5CryOTP69H/fxXMr1s0XfOdz+1NbcVZqbleWdWWd+mhC+yvZz4Wkqq2cmea97WGkjrnuAX+Rh1c+mXlxRyseS9ND7vTGlcEj4WHNBOgRqu6ik6/9eY4dyKfFp5lXHJ+e25ntt26+/39MXV13qsqy/Ut8SEZ8jEqDKE1o+gP6DWhHEBokShT59bc6a5tzH/Y4Z6+dFRGqZs1JV816twznxouEONrfj1bnHZzVlQzkyPsoVcKmwLMt2SOrXPimDizn1K0vSdCkZi9XvKjc9OaKndLU4a/9Dt3vjKSPMOisQVJeStF8QhysaCgR2U4NPJOUa57xToes01BTRzP7sBBQ6sVzvf3twQBMJzv8A/wB0jXqgNU68nwz96CQwd9OZOAgxhsLdJ7B5d4D2PjlNmfgNk9z3aqNGN41mu1qs28acjr+t5OBft1ZOJpdOqUa5KeE/27uBcvWA3eLZ2F/LczdJFX78edhgjs9S+e2QD36iXUUli5+w5SPRS4BU9YBsea4CrpH6dwexiv21Cpc0OIKnMf+5fv25huHZk4J71mANfDChaHikbnoguH71vbXS8OGta2aU7gJuB8JqHMup7/v5x+EeQ/Vz3MhuM7ECDosvbMdfE8zG+7ys3RIXIbNlXcjBeyJlR97oE+v2PQl9ReobeOdL6g0u7NfGjbumzwxu0s640EM1A8wy+hfyB+ofbwR/fqchZcH5xcXsKlk1uTgUJHUJqKi2C2M93pnPEH9J9Vf90o3q5Q2N+BmIhuMxzN5nXGEoOk9YtlLZvFbzby26pTgwg6JjibgzU7MZZBahtOi0sxxcFv+7nQufYKN59xJR+atcn5ic3QC/U9tGQIWWXW3voPeJ6yLX5ztM865AzqDwzU/FciMmDNX7ICtbdcWpWRf9np7Equ57FBJxWpRIjIeJ6YfZKrZlIqweCb+eiz7i5ctsc2o/KQIbjvcOeBMcI/+em53pbuxMluFUP/2ZTBZUHcPZv6v3GnjLmR8Ty7SVi5o4rfj0rinVo9xW1vZdtLE3WyBh7iM2ZRRf6Vc/Saf6+aEmhJ4/rX0H87Rjl7n5lMJukzosYHMHKVdmP6nHPLdPL8naP1JhL5XDvwz3kGM039+bZALWxV0DtRQD+pyoGg0gY5Cpme7NrMaiI+pg/2TL5OsfXnpADfW/Ba33dN4E+Nh5MBry8xuLpzKEbcyKrv6zvINTa0vl+UQi0w/oO6yYjCb1czOChnXzphWnZ0xNwKdN5m9SyJbeEpbLiD3X+++jMcP3Cc90IEHmTNZZa5j0ZFD1o0P0N/XZBdl2Frfgb90vJtF7EAt5A2ltrqQ4OtRuVEqu4cDjPVedTwGLVLGS2HFZnvRb7/Rn+/cNWOgR62J8JwbXy2WhM232b1KehvXvhIx1MDq96wDyap/2NxWx1PAY+LKBnRiWPvSeNySmiIGyDSxfDTzLyvGppiHTV8Hr5iH2i9qwzH7UzfvklD+chbuTzdOI6tktXt0CaoW0KyuLoAjxRAvjNHCqfov42PXH+zRy7r5fsqmQ+2vPbVoN6Xkp3bhwtsPJ/Ojv965TCjgL9FEF385LnJXnd/tahffs/N/fV051M9FYdCet9QBfd4rO2Ud4AfUM4dczSwL3I8C9NdTDvu5hniE+tQdQe/HNF6qBb/0V1fmavPr9xV4j5J5uN5194Th/dEdz0dA0yT/uh6etwU0awkxvxOQW0qse5lv0syZuzhozDnTFgd8Olj8Lcne7ez57tKhuJudXIDPr/wCBT3+SNpBXHd3DLwkNd7MAvjAgjix0F06CgMuhIyhHA/EvJenmfA+T1B3TnrzVnbdQmmTltS89+V91vJZIT0Dt0fMGbnxUHudwwLG+ixXxqMdtIp517VaZDi2KtxI5ZNWOXsbdN+uEuom7a+n2E6d4jLmgfF3BYbsX2YZ1Pea6oi56Gkcm4WwXMAsw1lvWOjXZ/1UxkeY66u08Ba0TEis/Up240oZX0C+d5JsjbjxygoVE2wc6t53K4RnHKIsbrXp2bsX1vuT9fjH7EWh4gJa0PNjHT+4pS0F9fq/z7JOFDRui4Df4UfZNS0183aO8Z73OhVe5hOL7vz57pk9zrIfP2kPWlbXxl/2LWGPp9xJm2TTRdANhRjPIA+uGdQ60L4zDewsBq7zej9v9t9lAbqDZveqPpKgYUEfe6Ar4ztwHYsM4zbZqd54TKuWHMvzuxv38QoHxn/X7o8W2qv2y+PBxYvtzaMOmg1dUFv6WseDdCSNXrhxr/wGeKw0LN9TturZrliynXqj7u9MPq12us9MbAqvS8SYy5AkZqc8Y3JfdasFfkaTEDApxPvaWYNu3wN+W3e4974IuKaW/eoJJDWDYrargd/oyWjp49N4SAESnterg1u4oPMeWG982m4KwkDL+sTPqOTFov3TIH/fqxKLPIyHbslVkhjvqkUZP6uLCtL5FPztAd8fHPnP05Mq4+lZJjv8FMKOge/ZgLGU9uuOWBMW/dzhXE2SNyVg5hvNL//OSjnwjX++PRz3Zu4cp3KQErS2XfTWk/rj673NLoFaAXlruAlIeBlXWt0O1teKajWCdmaSkTyzPBEbzhGmqwJUbDqMt9OODL9+JoPaZ4E3pOL9KndRWeV4xcxuWTcyM8H7ov3zPZiA+5t9ggfg1wfj2s1DfyGIXDPg4jQgz8yyFtmpJ9SOn0LM38TVZkOgxbsGSz0e2Y6kxEceYG7P3c4uuW+rvBmVtQ6lGGfRTa8+PdAUCFVsehTOyiq374AFZIE4QFgomvJRlMF8NLsS6wB4gRt1fNA/UNuPDEGM5cphetwqrcsKeAjp1gYjHxA7Q+Y0UDzQdxLIV9+XI8V0qUTswhPdVMKaS0Sm2MyYCfSGg4bgDpteSxv4rNmLnImQXyqbpOWuvqfm7D7Ud/pc+9IeH7LvPNKxK+gPEOtmF858pm3x4qITN+/JuGYF8A5grlbpY+BPM896yUl/W9Uh8YrezN+pVJjdeEL2mMpcBHKhoW92FX9Xi8S/e+v6i0t36skcU3Mus9jJ66klr8+iuItazNEzC2ZSBTypqfQyrT7Lnl947tusu80xx0cBPOWUK7s2u7hDHqULMh48GfC8bb3onwTxAbcN1MPpnPbFqta/uxcP9YD+ekVODDSTTzaUzbg2/oOUsFLzc9FGfRakRo961AGd7c9P0dVWaRPzSu/IOpVWXK0Elzdl8zgbvuZUzJ7oUqsKzL4SAlp049X9q4fzBhwAeDs3hJJs5Q7FNSVTba0eJAfu2d2eaSvF0YHIdJCngLdTipOix4S40REPhmsrVIUbLXy7jf0RVc6EBCpmueP7jHJdDX86Zcwc/gZagzAn2oKOgHrPUQExAHxxTvLNW6ovgPvpSjqRE1sexEC3gJ68Q4yMzOU/xOwRCNVQhnCdizzEIjXvzSVcu4574M3Z+vVu+bsyfVHB3EkHN6TVzzLAwK3mC+DDLDQ6kg4/Y07OhYVm7OCdeRdduMCl8sLscB2Nd0vt8L363fmhDcfJD6DXcbA2WWLF7f51TlTGPT7w3cZlAq7fHw9p9zAerzQ2mdKqtraRmXGN4fn87g7OfOPF3AiGkNEWl4PTWWnXGA+vQLEpS0Gx4TYC7IdrbAGTlvp1D3/3rhf25qeweY5bqPbcX6oQobqHn11wm+0+7jVSgPcqpmKeTpzrsgXOE/oriMMwDn59dPcQC6vSJUEtiCOY3nLID+42kJnR63tBnRl90GQT70D7OLUr8o9FAL8WnTqaOQ62oAz4N/Cn9Vxl7zPw3k1lowvnUZOZvS6LvLE8Ml4ltyInHHiHOAn/Wjtmb6AUMf/jvWZ/2HywHjbz16BHbAc/jdfB3jo4zV2yJmTtphNabStzdiK8t0Lc7LJtPiGXt6bPTmjNgLMcSRh53OzDHRCtkH4Q+BwzN4SH6M+nooJ6VPfxnYf6E7S5DX8HdH6UGN8yAjUWeIxXccAvt/kkgYqAMvjqOb2JAXQzj57FwGze8dupW28SXw/mTLcegC+DBiVUdtR59QNMZqZmVP3eqZ7rpXIUK9l4kznEtfEhFTonLm54F3kyaC6xVXvK1xKw4SFQE9JcAZe0zzIYt1XQFJm7IZnVkKNjdpwQBpwuUv/z4k6omXf1AW+o0kR/OdgZbeLYe4n0lSNidOeudOCvCkLosoGHp3LQVweqOyf21z4PyYbw5lhqrAlwYYKkSE1PgPFsQpuCt397wD3QCQbv7qbfmkKMqt6+JGJ+Zv3kJmbWoVWs6rwI4qCIB3IWA9+yNvKAt3Ux3cDzVDOmtY2X2szgl4BZzHiknHYRLaxGy16/vFniWkSFzKMN6J8+pb5D+dcqyzf3zOaCDrqt+XgA7OlLN3oqqO3C//XyM3Mddwb5iDMoUyHqj66/Mv9N7Jqm5JxBvN1Jm96pli8+b59646c3r0BjvfarPSDT7pL6C8Tak/foKWjUs8Czuf64gyZNqd18K0sfRP9YSeAep/M6BkqzOto4wQ7aE8hZqPUeZ80qHtIXPxSQK7gMJOhle1ft0DfrvD0L7KQS/F73Xxa3Gqjp3Lxheipam94hn2zXP6WfLkdL//aJKbY2vreA6xwQbR0zilsWTBJTPmdh9PIyDat+f6WtHGNNEOYfMwvGRwZ5YfYFpCyCnJzMLu4lZvITcME/dZ4AXXRIh497Cd+HM3IE9LCTfMwI13MNscgH3p9QvfBAP0qHvXDDgro1Ykvxij3mWExt1Wkag34CriwyZs6NtYPZ+l4h0NUB/hHIt6ibLiVtjpyhM88RKXvgIb0dV46NCJuHw4K9UiuRddGGuH+fNYAm6KhfPKswfahg5eEeODXF91gQzB0vp0K/KTEy0wsNIFyCjvzhVjGLQZmelMjMKsZaedwFBt6ZvZljiLv3uwL9UaON0VOvubZPslPfEJsxbdMrfMeN8dwqLT0DvzzUne8Bxs+ZK7eJj4+gRd6wXV+Nj3Gc188kjH7kohN2XvvAd+6xHUPtKlanoLiDJvlvB+ifZ9rbaVdcE1ovquM6Bu3LHMKIAzqkR6AiVFFzFRwt2677yTra4/5gbyRf4jvpJu+46DET9iF1/ttD3WJHdXZX9d43xM693K4d3o2vWnlMbRVx0KJih4Js4NScASY08qhvm7o2pz0qlNnJ55NPafZSWbOZIUsoJ+iE0DMReGtm9nnvgQ7iLVxTe3QK4JhkL3f4GofoxbFNbxxcg52WPukLO4oYj7aErc3+tDvgFYf7BzktY+B7Ky7g3g4cOHpsmTpM8oYUWjanQHYJI5gKdeVC/dsjlm+ucR+F6fDXH/Vm9mwRy7/C/15S0LZVoK3C9FlArSxp6pp+HJljoCm4kAF2JYoBL+x9ItYj8X2v5HvDj7YQj3Hh3GzMLyuoFR3UT7PnMibW+hUbTA7pA+7vhXWdI4ArkOF3rvRwEqDNmPGg2zyBP+BKp142YKhBUlRIDrUd3RIh9ziPn4VWMQ8334SpSxwwu0ZfVyG+XNGi+ymYL394SJswA+5X2HqqO0l4Z1+BS0xkwPtqGG28Q3fcdyuzl8LM0VWWhjhXO8xknAJjqEX9gBp6SXv1w3d4r6hq6p1CmN1M5/yBQ468uA12HsYf+ciDm03/m/NlyMxd45z5TZsazcMROwX8cApwXDtywD7eEuQ/qNk1QqNV0Rt/OGyVLgbeO4/GM/EENcP8vnjXvM5hU7iWBHDXrd3Ype74Q8Ivm+SkixkGAWfee5IHdpldcR2m5myKyYvxkSGW2sYBKYW/tyqmVrFFrHhn+gK54AvkeKdJGUyfWLw8TKZIudEdal4IfOcKtftSLMqNu+gbL9qOndHNGPdBt96SQO/jRe3jbjz/9v34o5ZMHeUA9cexKVwPfKfVI867X+8X41fJrL1N3eKF87TSjfmsoOZ6UAxQvOfh7/kUw4Dh+Ab53wnAeeM3Qp01jRdmZyzaAu/sQLe6iYi2MrDf0ryRtd3kptcx4zirrPTOzlOeIP3S5scackZZ8PPmzCpUZ5Lv7Swn2PQZwPNxqBgDc5Zkdn2VgTpXVH5CfE+EsgXiBe5B4UiKHTHIfelentgBfmjem7XAFXpkAa68+AY62E1U+dYKu9rDLpprhszOgwPoI/dk+mA4d1K7YcBXbNWbXkG1qqz1NRPRJfGhVmr/Khe+rVz8zOjGxb39Ddj0XS8fVrLj+mj/7UOcueu7WONQaOJn2QQ6nv+bA2VNAapuYEP0WTjeJVsah8C/px3asa5ZVLBOKMROZkm/3O1XmaXPeNcc4Hf7JY90HDaE7KSuh+Z17jBLMwO5i590iQ7ZgubS8eIT4G1lgyQT41HamzM3Mz1+/TwN7CG7qKuyyXgHC+CoZgZSg2Y5n/IN/683n9Jw08bO2hEodtjy5znTnlp0VcJzRG9d46BxOJKxmRPMdpuCsdssGD4IPfZm94LcNavC/phTGkXcjnaxFT0xWz3q3PgUWfcTb1jpFMYz/JMhfqwQaOfee/WY9bWDQEMaP8cJsGoaioHY0tYBpjouLfRdZGu76HWe5vgTuMtUBdLo0x949hrqKq/aiEOstgq4M/Bi8s9PsVsdn9OPok0H2uZ1Rj9UOXZAe27g91/LDviD8LC0VSjNziV3M9XLZhLtF1QJ8uvbc3iuHYP1NY1daXaCP98X5r+vjgt642EK9Zm5dPh6YN0EoP0I1uhv5/hJIwa1Abi6Z8vO6xmwpLRVb4ABVwUxnwU6qxyESvS7Cy6TfQS8qn7EfLOUfMw44K3Z6630xc18CUBidgZ4OafRhQfeWx3++X63MY3CMlifRS5/4p1aeK/xabi4ULu2x6VziODt7551m0DtNX35Zs/TOlWOLNXwAbxnNn5wFzl8zCfdfGahnk8MON5gfBdtXAfT367n0/ndo8AJS7NHO+er0m+e1AZ1EkRXDIFkdsQDv4yPNhSw/nav6Wauw/2dLAory94ZP0flRw+Ix5Sx8cLNHnShfoBnsTJv4DmPrxkfnAq9Vwt8X4h1mkcB4PhP2gFH5cgHLBx5R86lY3ocmiVtm+sJbXqIuZlZ73a9oD3olhJbZkUeuVY+sHqoGYCdsdm/Aziwgwx9nUmFJZJwKWorOmn2INyA15hdXy4H5M9c7Iu8MLg4EsZlnWtOEbOYHwNni3hl2QmzotFwPRHiFNOmAI16l05txdZjwT7quJCvfuxHSqV/QiRVbePUoPMAs1rjUV04ZietTqGGIdBshCzdnQagUYTake37o+abieakAF5lK9DEGdr8lKyYY/P+nY8TaOAzRWPMtusXx/45uooVw37BtvHrJwRiRJc+uwO2+zUjCXPmC+STzPrGPYV8rxyzz0L5J0qm0vQEh80lCWUM+pSrzqMp5Dhw5s8yNPtj5SAYf+WXroYUKiEmDNSB2Zl7QumKByQBvcs4aBvOzSQSpmW2BuSaSNoB1/K9Hup/Vwsp6pwE1aJDaTdzwsmTa9DK/drscvWSXHbADV59DjtpzmE1LtOOb1M2XSQaQZdHSenyH9W/O4rKb/hHy0E+sb+fja49GA/igRPQMA+z4xR4+Eb48D3seJH9O2gpnqQ5mWK2TjhvXu8qOzqQlYkvuDcYfvI7BcyilgVahZszM6vQbCZ9Y2Z8ygOgB7bwqm61qAU/4K6RrB+REGafmU1AZ6QF4GuxmN/N+7q7eFKjF+8lgL3tiUVWYat96n48zW5ouOaJWvGKBtLMZPal1jtOVWl2lhOKHqmr0pqTn9qBnOrWWdHZE95BMWYrs88mYC7KTwJT4OZvZuf2S1fWw+ZY29L0VM9VrzRrZVMHoPF1dAVOxCuO37gTzdj4bQLWAy8ErvzbL/9JBhUCHwirpdmzZXPJLNBXIV4oimcVREeGxjNZ/vLraT4HeEJZ2wg4X8NiiH1lPGWzyanbwgF8soD0FrRXIV9Q9juHaL1fY5e/Vcu/9xci1wi+T2LmpVUXXY4uT47PdZQw4Gzb9dvrPcBxqa/AmT5B3xHg8VB/JPBA/x5bjemtlGRgz1NbPwmKGF7Sq6CdhdviGT+nBC/YScyZBMQb4K2XOsyBOnz+7zxtkC7EHX/t47h5FPCwbEFXDZrK9sPs6FmJ7dr0wT2gBjnmnA13+lrDn9e56bV+zNTMjLYNAT7jHC1+hHz9yTRozV6PZnOY2TNeo48Vt8aD7OqXv2h4tLwL72f660Pm2wL0zZvwQfd2t9+ztEJz0F0KNJWJw/3zZOZpTV8g8I4M8pY6j4cUUwK1ujs6kgF3Omf6MtNls8rY+A0Y/OpLKSCerdMWdEJYgw73Lvh8uyaQL9UObeNfL3pvMd4QfOe7VUhC6s+gM0GboottZlkyavbuqBu35a3oOvsI+VLRj9/9idz4cLT6b/4r2cmu7LRH6SZhCBRDi0HPXVaxi5iAOJTO3mKCLMBnblCj3yjwYqpB57qbT84gzqB+m/pRGM7jAi66aFf3aogB0zPUbAuuX+fmD6LxFmrHhvsIdL86skDd0w4PEFeoDqJzZk0PbI9D1nkrsgPkstBRhAg4A+9TZ46Aw81M6AsOpKNacybWINCUT7yQtLTxSrkvnJ82lTPhrHtYhGnKXXRUoK+kg64UuADvLOAUm0bppodcdVKLFAkij8zhNrXQD9SMG4fazwMcncx5mA3asiXGo4yBbglUi8xve3k6HeEeHqH2LTxARt8AF0VT4erE1MrCxXfQ7LzkkoidbEyechvUHZcNpaCbWHTDgligzx5SM5v28NytEZ7l5gc4Q54t0e4k/mal43hQz8RXHdQq4+/9GTsg04xPT7+6A5dJ4252EnEDzJ0vshuftPfviRgdwaO3lDcjcAa4hiioxJfp/XkrGHAqVz5rHR0Be4qq/9uRYR/tyFItMz2BEXX4lvRjLy0Pnndq0VwGoKW6tGucErHZzEtzm9sijN6ybG3O7t6ODjN73udTzrvTIL8FaIujS3hMYxuwweyNfmnYn6KTtAwbm7nkDBhkAy+/izYFlv4OeuMGnNj+YWhvdu1tiNnPRfkNA79K+CY13uRJfnGVNaWUArd38I8IyJ26eE+Ab1aO/ay79auv8jPxkWV0br0jP1UAf6aLh/RHdto1BbE4Sof6DnrOlWfj+9v8kN88S13JmwfO3u/AlbXqVFuf1wK0vOQt1Llwb2YAApF/zAKpFxf9KYW3OrjxHTQEBn1h9kJ+F/beNvN6pMOb2MFvgH2PdJEF394Ws58I6uWDanwurfEei9890m0Vbm6JsJ+8w9dYILcMNwg01CdHf7vhGPChBJtzJMh53t0eMpRnoy2q/uFkxkky6B7qOfHKr73C3nhwSVyGUSkDDHm298QQu9UAWsafFwUMtLAeTxZ+PLEdDZnmzv97b1NAzckKFvnYJ1e6k1v4Z1/0BgOIqJzoEzRxU4ebwPgQG3+iWGPjd2nOqJDa/XpRxFmwXqrAAo0xSjxsBuDcW9wqQlyNMutvdumHPaeZhMR4rMVCeAU8W4sL+6r8RmdI/uCleMRIF8eF3GtXXssd1AmKnErLjIcbWQnghIvvxuEG1+fJKX3N6vDiVqK44764V65+fS/jv/Z7toApkcBDNLXmBzmvf1SLV4TZB2pLUQkJOIaBtKosXSLIAzwXQqeVg9tTty4qEa1iQAnglXHMbLvaaRQH4+9sofHK/A8PXRz4s+hX3tH+gGvh+zr/ehBnXkDDf6qWd0nw9cT5xyPLpVWeb17msqdk0QIY+gl691yLNTF7VTndO2SB3BWdmbEfkxzb5Q6vmLt/cVGvGvB35vsWDy6gQT5cBRwzbruZ+PYDdGZYLg3lO0mzvCkzm4Ge00XqNs9T38jUql3RQa2kDdRatkoEXEOrfiB/vuPhA/j9tKnFnw8MPbgR1F2Z1sHImAsxoLslEZZXB0hX/rwCTXFWwYw4izqoOyBzEMU2f8NOFMF9P5aWvVS9Pgr9u+MXcjPaMQe4P2A5VIut4uj1fj6u8wh4rzZeZiHgFeBiJLDFQd8V82FBP6fePmSiocTFY0GxnzkTxE0EnFHGCuLO7Bwuxe+en57ueEq54WTyWKMI9F/xrBz96tPbZVzuIDaPlN0spdOVCIALLfgndc2ZNnqyfg+CZzUTpM1+n1th9qvkEeQJyHYtV1D3cJZvUGZ2/1gTI8HeLTPTF8nNO/NWdPPrjCOgneSpA3XA9q+VBfeao+/U5d+Mgo7oIhT70a2E2FXh5X4AvDs+jZ841ObOeHlxuA/kEgt8UWK+q5ycIf8uiZ9eiZkD7ZRdDup11sZUG2EzT37SH1dpPEQX9S23oHlBtTHgC9LeOGqnW5xLRK1mwv5E8HPtG7+so6td0ObXVPgzd7o78ELIQx7L3osq4397nt54/9entzmJeVuzxhOQe/FQwGc233g7pclu89sPxZhlznxuuDV1i2wOoJ5kD7pN67MM1rfK3cB9mQTwHWrmgGpfjpXp0cum77KNPHimr5mRlg2Ks17eSDcGxRLRE5VFtRRX1V887PACOPibgpqesDWWgdeDnsgLwAyigdcN8HwHTCAm94Ut32K3m7kbbUAP3uKOSNESyRb96mkfoSb89urB9aSAlbTq55wM/PVereHOdADd/3lwiZ8wQmK0WaBWhwSRJEH6hoN1duq7uwAcETuES3FzY6dwgYlPp1ymgurXXphn6c9nQvePLNCO2QVXOA0BDTpkls2B4/txYI+sn7YZ5Gtq8REUngX56LLhw6sX8l1BvaeuvByWCPLa3mTiay7D8Voi1NbMy2n418+WYqewT+hyr3vUkzDyY0TOxJmy4jmJ0jI7j2V+Yvo7FtbMu+kK+v77xDCRThMBF5yV0GE5IFR0KgKu8TA+2qDNgsxqmNKoyYLp9bwSPvBLzPQB69hLB9UbrSutNSY23lU6Epmwb4zqFXwbt1jkW4KkQ3aor3IdkSFeTm1k+j7PLGQu7m8OB+wEzYvM3FfprxzlvrjotDXvNZStpjjwMoG+TN/bvdo1DqfFwuG+xYPszZkktbWZ3XwAh5jwoC5kaNzYhyvVxMyx4rKTmOhGJjxepRYWxfAxl/wL8OX9hb3AuTRRu4bJNgqZ2b+hcQO6GurYeikW7dYuBj7beFW/Av06mbl5fcpH4OMfqypPAYPxNw3jhXHmVNubK9lqKQN8SPz1neSgj/zxhVFXNVxMDh6qYLwk2zWrqPFmru/xYnasy989tnhh9inQZTnoMLa+LMCpgeV4ONHokYACFD75TpnxilAbDHSEmXcdzvQGus2l/vrFe00P3Ko2Hn/ZO2AesbKAO0cnNb5Qv7N4HEis9OexNH7ZA+K1i0yX+rV2xwfe6enoeE91frdrvXHqfh0ZXpqZ/R2t+kz5B+CaevV9YR4ADg4an7oGNNEcxlAPT5q7GZUI9NZC/OkOmmzGQxMCN+8zjoh0QSfkzErgHoKuuHCHNGRRxlPuJ3bH3YnZQ8bJGzDyQ0b/9jx2aZ56BUcd6ATgl5cVbzuH9/gB+nhFeQPYcHkCp1thgT9T5j+5q/Pf3dtitpljb0+95Ykcbere0xS0sWCzdeJNA9y4qcKv50mgV2/qmQd2UFvvoDVASmtdCKirwCEERQTEvrcUvf8E/jQVjGxi3wPt0MRkiEpFMYfadJPsa1WavT58BH2/eSuHD6uG2o81g3y0A9bpF8cehUY75ch7SuW2hvoXs/FYCK8s+jmr7M18cMc7pXoCSf8oWQHfMfopoFYRISdu76/wcyXO+dnMVkG9vMtgXn7nqhepgTdKbv+dL1+Y35gdmU/8vDmlpbCgPAX95Mk8vleBcmvLsuG+Qz0kbdnVC0N6lC5AES1WXEvjjxIAf2t+PSFtfCysrxnitwS8mYAvmvdsrz3g/nEBbb9ws2cihzJkmBewhHcn5QonNOorPYZZ7tsn2hh+AFxVv4kWsMb+Wsz5L17qFRW22fltztFuJf0wfiKUb9cJMXUK6uLrXQpw9Qye0YVCLUp8iLeQNGwxM84K8q4AnBgPRDNLgq46dRHUL/12cGVW76Rj+sM5x7tfL8wBF//8NopVsvtwMfDSOlTkxPgLDy0aMgt4kS+f08a876q76C6365s8T1kF8Q95451QJOtchUkov1WvN3LZ7CpLPrMF6lSugQf6VtoTV+X1PWNRXpszucV4KRN08r1XD4xdaXw4CXzL9DhBLfwU2/cr828zt7BHGL9yM4Nm+m/gGYtOhWmLu5Nvf4NWtTHSe+qgQ6GjW+qss/Tfe9Ko8gE8OwX6AnkY9MPrPYCk6nqw8EH4GPKrwRTVz4pNeylIWrXNFeIZrjlqAB/f6ufkpkvsMqpcHCLT5+hDnkBt3YyFsG2oN6Yf4ww8oTd7hirmeSLAr+eFalYD1+V2GRBQbOzBKfomvg+6Bv/EVF2MJwbr9Ta1GtMz8gk17gHaYgZ82sk+Knj/vlCK9AmYLHCqt7gDbtTvXeFP38UgfyoHvbjNU/rEK5z5gruHVTrA1RZ8puYM4TkdzGyd2SdQG/9qoT4hXxqT72QYbzGVF2a9W8oiVj1EvG6bjOnmLq33Z9ETizgp1An8+wxevSI16O9Tju/Z8juz818fnlxhKrtMzFDP+KwC6wm1d6zZmGVstrFj/Yuz3l8x08Pk/vLFMgv3DrO4LocGgz4j5v1Lwtn/2zXmDey5/ik08DsnuheWl5S+f804jxggdN3b5gyxVYCHRWeH0pwJgS6JW+5JwADmIshDfzlaqGE2h0cQJZATT9yBoNPkJjT/28lVgo4jluedGNGJQP7B8l3pr7+Vk15piLa12bPXazM19cN2e5f09pT1usMCfZ+61TPu03vMFVdi2qd9k0l4/tQdJTxjbu43b18a9uYoX9/SfgK+jDYJ7awjsC3zBowGZJMxy+wr/IG4+TwZvp5HcI8VpozwOG861krQ6HC/OrSC+/msnchnIjqIbozLHQFU27sJVcnrPVttTi57s082vme+HaV5MVMmP+sOaRmiPXBYJ23Nrhgec4Fm4GdmnseXOe4ru/Dq53olQHcwsf4sXWSBPn8yf8643z0JlZ/GX+VVK825LmCv8ZskGK6//s11GzQQOYNOyqVOn0keHU6mL9vloGixTnL+ZvZZZm70DZo1TvnekwJ9pq7cEo4t0A0zQNMb1Ik9qJXX+40D7YCHduuc/L4PBE3Tbi5ZMJ+hNpk5U+BfoE2FekjEOeiSLbFjN7Vit/IlLSw9GHO9uGsaiIlnzNZLzNSPCJHFQ/h8pGeJ5Os9QELdiANXKWqq+5opjCl+KvFYVXAvIOYiiJ3PEvGDAM3Dh81UBhAnDiqBoxxrNi014E4VPIyvrvGluxxcBrqZreqO/JTs3TpY+z//KOA0q7LX9nFhVmWndonUj9J8KG00SpsfylAfCPPtDGFZdOQCOjpT7gZVkP/wjB+m1ysJNSUc7YDLQu2u7djso9DKO7U8Jn3610tcadVzFy9Vh3dsaEALYwv7xCHBuFJsOsbGH25X28V5DXi0mjHkhgil8ZXL4pDHp2HTcme9rXlsvOonaUdbEuqwhp89AUVNmPfivUPc+l7a6x8absSps8/APOVpwG//+jc3WbagnOXqknbr7Snk9sHxbnF/myu6v0MNG6mAT7emJjO+7ojnsRUtxusMGPdViS+79P96sQ7cV8C79J0D/852eol38RX/7l/hOrPGoHJ5XFL8ZvwbpNl5Dhw7W5oigxqZhHsbOFMnQ2Z8EM7ASzexBTzSxXkGtSx1bMxa9joLcLKdyuOcSOAIqXRVBNzuG3hrlwTzXAuyUii1WK9IyjShOUqEwAF8Vk7tTS/Dy3Kw9PjfngszV38/tcT0+aZ1GEGN5zHN+essAHBDnWv/n3dEGawcM18JsRZloA0z9/LkebeCe34A7oc5aHTgIT98x65V7gMf3YPW91aqTz3SjyTJdQPXA3xURma/F4E04f7Le3bCRd/cGCNbTElWds13uZM3eA46C2RvdDv3NWBss0vtXx57Sc/vK+yj1vQEn7h26ja9Gl0Ra2VmhHuyXfux7Tu4awbQzw4L1q9Z6Simmwj3My260cxveEd742fAowRw5OOib2Z6i5o+EKG9BOF9Peh9aSZUh81FtJsYBPm9pDyMw6iP7aYpfTzQfENiGvmJf3sAl3hph1/fejOXg4Vt9nAHnGKGu/WzFugGfBg+G5udRRy06Qpqvqs44ZWL4XdOMhH6zew5JgJn6aIIcWRBF02OpsclN54/5Amf9cqvOPO5D9iAlLjdFY0uiRhboWVKrfktzUecoK8VtpBrznKU1la5bK4kR2E9+JYamFuZfjweeZmOokyjI3AOm/kkF93cKLinMf2LjdbskK9E6gCO7xjkM3Czvgob0EG3e+K/zwabpaUY5SNSC19x2l2PFsfUaqB+Af8PZHeCGDba7+BYq2IA9qsbxCBGeQ751I2v2FgU58csTK2C2XsR2NFxAb0KvA00vwc1MwJtM1RniOW+WOFhfMPPtZlz3lEbX48O5KKtvLhfuZhGAdMS7ivfMLMTbVCj8QopLPyKja2Zr/v1ifNRLIb4CdjdSeDRae99x7R26HPtZC1nWUsi2cXXjDUSd/yJ/fGuxN4qXZkQ4KnZwh7Zor8rf/3kXJr7eChFNMWd98KNpnJRWfHoyi25At4DdWxy4s7Oqs5+VK2/sKCBfJtKYqkMo/EgAXOAOy0CyQiDDONOB7XRPkJN2sl8A0rq646dBvB4cy7yaAd89uV1f4fau6sC3WU8WvFl751EA6xtLYFXg9ZQdzObzpkHWLApDw75kTvkEmDCcW+vQMNPWEAI99Nn7Ns+cwFDWHMxPdNJDiwbNMzBml9aj54oPkoUddwnuvTHoznPjxfgp4z0FdRyiG1RBzat/RlVTAm6qBL0mQ9aAzE25rXxSwi4qZOTAi15CuWP7FQAsU2N74P0/2olSjnaYtRs8a9flP3APd9Xw4cjjT+7z3Ut2B1y4Efk5BmjKOW+v9C26VNXDcABTJ/lArxmZsPeK6wIE4re1BIvkPtL2iuZ+fj1vtctLH6RQrXEshO4T/vMaoaDjcKDnT4K2/RaNT5tCc2cJqxZlMQUsJCnxmvhLREX77CoDluPxfianAJknfzCgu/8AzFXxN24rfzx9bxAD0bPJBhjwCMLNGKOfT3AP1fjwwOZsBwX3+WdzMvW9LubXR9Q4ynGUDsPCnKhAj0OatOciX0m2Ttotnh1XJojYHWq+IYojX/+cH4Y7cRHuLI8G3Qg1Dnpxs93+Nz1wLuZxqFsi+VrlWTriMLvKv33lWT6CdzOhVRajs7lDrytlxoVhSBGz5idFjZwuw4Ympf13uu8cl+yaIOXjyfr5kNmzi16bpveckXlg4O+joOI1v145+Ldgtww78+6GPCP2gTq4N6lAoXAcR3a6icP0JzZjV0PzFFMQ/7ZXuai196KbdFuflKBIxIAJxbGVx3rDH3cld94cpAH3qGF5Y0EbhzwpTH7Hllq8NjhbbLr7CRv3gAXPeys7nLHg7STzcFFcP/xNltwQezxxTc01M+HwXRlvPkWtALuaTxYbBp0LoPvV1BAyh73cE/e2C4y2A2cSn+SoHaYxkczG0gtWWQ7knI2flLU3Angt7S1rENextbjda5n5sqtyiHfMddnqO8L0ZjVvopw6z9P/mqVcWmlObLxoKLSJqtTf1kdHRWA7l9h4XVVj3IJ9Vmy+Vy2e+/o8LffXtXW9IBGK9Ajr8/KT2LKS9oQZqlcCKjDberSAE2xkOfMNec4qBNQB0EvucyKLhnUFYiB2fT8xHS/EiHfAg8dgZ+6NYrIicN34XgsHYIFcL46xK8z3ytBesFW08iAz8abnXfqJ+7RNw9RIk0/I8Q5HmSucmbLwfSJG9wDfGb2pWAzAj4MtW8qEnM+DRFb777cEn3NtP1wK6u4C7R5ab2AhVEaO6AbKOjpfvUooY5J3yap8BrAPyZbAt903Mu2W0hPAuBlnhK1XVF2xy2D3J2bAmqIORMoWpWWFicgZpnZRVhybHriX2cc5e9ZiJiupbAps0eWdebchU/V7gNyaRpKtIkzZ4J6KkFXTnEJtUA91y3x5S5DkeDCa0mHmTlAwnwjYpf3KohXJ9oAjkRJ2o1/78wrG33WoEUoxBsDjmD2VksN9W4BfFqAb2bvS4KIy8LOzZy1SF20GO/hU86fwLd+FFuPgkcDFx2gIGjnRWVxfrkbf37glLvD8vK6n95OoMczyzM7eHyxa56klW/UwShh789T/292FrRmZnatQozPhU200pBnovaghu9lgH4yYebCilXZMldk757q5zPoq/C0Qy33168zXy3F3k6z9RvRX3dlyW/AMFdZCLMQp1LXwGunLMlVRJaP5dTfnhkbUynWrjA7HoYoM+8W1AAqMLjclUti7I5uKqaEIB9+3gOM/JuVvlUhsQuBITea5uisbdWqXY3IG+iTog7wDvjwkuRfDtQkegJuVLsj6GObSvjOgo8/1TDC8+8sqT+Ab6lvNjDQFxziBRAA8ujU4Zef3jN2PIt1CGLRi9UC5U+rJXuavQrzGchTe7S0+9svaulSdV6rgvlW7VRQhXoFub86WF8eaPp71UXAXQmRQfo8LoWDF2VnLv/ELf+v7+tmYahJWQfczh+Lov9acHh5pNbsFgA2RRfZcQB5iz5c4n8ZL7pW0cLsDrHKvPZkqO41QlOdy0ka7+2+XkBz7VLGH3TQRQbcvezs1zu9IjFzcGHkABey4Rm/ca47M6fHepxg+L4nyOl/uzNVphx8yDq9FFZzMZ4xsT+OWESgk9YzsXy79tdSgl6MrXGogrXkju8a34mXdhBtZDjTIc1BW7j8qfzpXmvIsRb1KYXP3UVRYX9YlfGi6dHWzPimWq9w4N2rXHtFJ0u4pxNz6qsE/Qma8FIiKapBWsx/2AdXvjh2ziwdVZaStd7EaYuuXKTXxI92apBpxqaNsmxf6g1wmK+n2CmnBt56dEFvDrID3aeBEwP9VCsRwJ311Q3iesUE3OcB2AUfmzqYX32wl5p2HnBXK9npRgXAUp+3VaWxNI5aJLtZkuMJ2zwqQ3TO8rGItZyOFtpkfuqeuq+V5Jt9bWZmw98ZH6sy3sHA80FrepWZ5RJ/38t48rdc+6tTK0GfkC0T0wX+DGqe9lLnfca98fmfdzEyXqikqHbmPdXYSDPn239d4e/Ndf5hn3rp1RzHJ0QO2HjIMWBYvZ6Z1b1478QddiW2ChVVCe3fryehxoxFKXYb0BBQd6naqw75mTuaXWwPBjy6duyO8stD9fxQCW38927ivLbS59SxPDqWA8e/+lCg7/93vlymoEQPSxMnbLqIfBNkObpS4U0Fx/fMl6KGz8sc0IJ8A/gsb4D/K+PXUbdqrHTzXffGU1aHJ2R8VjjKsvW97CJOBRlwvrcp3bx2xNsSNTfsjHvF5GeyU+MpjH5YP+bA86/VsglLrozn6p7t2Aq06gprwgreZBLtZ2LDc7EmM8tmmXdIsmuKupPGIwpjRKYyN7s+/npFJirm66+vSMtT0COLCoxOkq7K1onxT4PvFwMejVm3DiiSLWN2BHF5O3XFHdPCo864qk2vI5sAD+Y3yr4AQz0MnE/Q315+/zXz6EiBzkoAx6LxFbACn0AzQj38wVD3amvvAI8eklzy+rxO5Pn9Wu2+bCkkcI9iTqhOxHbtnkCvM/Zu1zR1QDf4WQCa+LwOM7gGoetX/QKu/nGXz9/+ykWF8ZP6eAtc9J7AZ8P1+9UivSKbvpOgySr/8iS6XilUeCdKDlX2bmX0w+yaML4ih3L77nH4u/TX057HoO+LrEtfGnYn8tTsmPUy0EkMqj1zUFIBg+DOw4ZY6Qq7e8JnfZrzIHgipmYfT1o1p27tJTvsU2vt1zYHDQDfSftOKtZ9siP84ES+8NMHaNWXF/eKcWV2fD6YZa0IYnPt+Eu2iz5B+zignfNMf1gc7qtgtlVq/oQaAZiMo6L9+u27xBZgbsfHCjVhZny3fr3//mlHGTb7TJD/vT/Mo+jE+EUEU1LlX9e0bTq+pPBcuGV0AbHkBBxMil41Zc9/+TvU4iMG3sgWDLwrXRn/4sqXR2XrYwUMK9OqTJfNA3Chy7IpesVGxdBMB1TWVgf3PvpWSE1Ky7OZdQR9TWMKNan/ckEDPrJQ5RL0LIMYScL9VQ7dA56rW+n4UYgxzxxUql46mYWatF8bE8RvAXzy7x6aPazLBjQcGeRzcuu+9koLuLuPJIOaC7nJBYpXJEeguPUWanjEOHFTV9q1ox9ZjscY/h8D7kgFWwG8niUb3xLAy9iV36UYL69cBu6T1D5gya5paSjvdb6BWOZD5fDhFMhRMv4kPHJFvzaaxSK7KAB+uMSCXIn/WFXdl1fbmxu1+CrTxFe29M38SKUvFu3eH/B3Xs9rl3aNPlFtgQb6NH4dVEyT9D0pfMCHFs8HmySgoRrQxbM5n60QmivgGindZGQBtA7QATRJUnWejCGKqrzRLPxYlf3tgYXOmR5fszCp6qcr8DH3BPlXBShXbNqm55tbtepbhbIsXbJj5tzXRreMyj3oRo/746327Z8ann+V45BBDLHBzPversDx/nkqQ45TvonU8Hf+ZSfA8zMG2t7lS0HJDLh8TXLjc7K2xA7DNepVtl0DCjP48y9zPrj89j36qU18r1TZDfjTHNPAA540HbBL9mX7Afk6A3dVK9yT1/t58x7gdqIqZnC/KSdeZXoNBlALoIWJkNycbcTdwwZuCtjyZZc9MHQXl4VW+2LQToYgBp2Hk2p0o0yGR+PNHtQecAS/3Mlv08f5OoetfYmzIfopg+ZS21AbQuxjtPk+7cib2acCz3eV5ORRg6YHHnqugUdQqLuHhcxxjvcVld+AnSHgsnMCWlgtaGbPqZfB+8Idrs3s9otHGQ5CtX6STt+Opv4HBDBBeaRPn4AVvPTre5yrfSJ8i/HGJe5YskGNvHtAfbBb2ttuOWgpkZrjwF8dLe+t6sgFO/OT9t5bzKbX85pxMIfVQkxteJqdWrGD4LvB72ubb7N3irpkJTpvAr2iQV48+CCR9PWl9jlSZt9Xvy4k3Wzh3roEmZ1jnaNcmRcdSQtmD6nFX+ewZxqSg9IFPAecV2z0ZPB75t5X3VTyDuLK9KgNGwu+757RjUXhM2tLB4WzLg/WCGxIwjUiOwkILgAkCld9Z0FUZHmTxwhEEmcvDftDQyiG/mh6UNIyB0ywG1z5WByf04YD58RQa0hXg57UWSHQo+oaR5nelGx9hues+bKZT8KeFUKs3hWAkVyfQB/C83pUtPEqJl8eJgvbNfg/j6BnFeDvOiQQh5vbcdELfF5o+vZLcQNOtYc61VnVeR2XwXRIXfwts7VHIH9Uj8eTeY9pPTyGfDP7RQtaOGYXbkm711nASuRyifvIZr4+EKd2QCc2wH9C2TZTYXPTS7AoC3CiR4e6JatS47MK7FU5fDjA0XhtRY5C4ygDzy7aDwcwB3Ofu8p4FVrvv5/9OstOQEKaudATaAi5Q2YmeFFLk5IwCsx1ga570lZtzftAc3aZaf5Tce6VILrN/Chw9IJv16AB1RP0agbPIDihzVX6jQ08BWocer0zH2vH+6Rt5FGb3CozX6cJlX4Ug8b+rtroSbfT7vC8ORncx6KP4nRprMLenGtbUdOHVg9olQqZntov68Q337HenGVIWqHH6ddXtfufHyxH4xJ39regEeiC5gwxfIXrXpUo2lHEzxnzilOwesC1nKt+3cA927BB/hBGLgQUYGH7NmjVVWbZMeTdBgu483rUouVFyiK4Ivx6RwSSPHXijtwF5b0QewsPY3ywx4zbkAcC/1C3CdPeo0o0byY3qy594E4GxeKvON0w4d9sqAn9qSe/34P6pk9HN8RpFoghXDrqpc3NeeJs9nKpwUzcqh8exne2g5zmkp3CL0va2DYefsabvULAK5jx/AcstjSiHSHwuTFomSETtUUtkhHLXgF3brKuuZeOvsfsL5ezwlqzjMUezWUDtczsgrSEIEFmX56lJmVFQbsgJM1kFuPRdxnWV9DNkGoEtLnUqWU7lR7h+TL76PBv3plz/EiacwXAQo8K9bdjF+9IB88qKH3gpD3JAOdvB8hhGqzfYsNrg5HEXRTj1rdqbfo4Nt9mVxRgB2at7FWINDPe+M/JwrvawZa3Uq46m14qGcC18r93ejPp+bNGmyULcXGwZXAC7W/2PUqE9zyQmyQEteh2j2LZO1BHmgxh4xnYVENtl1S/qV5/m331wFXe4F4/a9871oAJgAvTSeslY8X84lEJv8yqTR3ajxnRHzYPJg/48R73mpqZS8B1wDdZZEMT1Ga23pqi1N3sheBnNWiKe2vOdIO5xiJhtX1wkAW6BjRb48gleuP2q69yupXDlycYYEbQuDj/ArxvstOwcTH9sOIAj6Y3GGp1IgYyYYd4tZmNWhTwfTkrPS6Z/7s3ey9dqAMD+anDjYN3HzPmI+Qtisph/4rDA+S8mY/Lse9tGPC8WkeDQhj4xLud6k0j3XGiejNzH5TuoHc1s+ySqbH0o8LMcKUDpjI0fvrkyt09BE1UFp23q6zVUy6b6ZTXf/OV1W7zPDq2mdkzsQFauemScHwW/btHxHrm5j1r96/XOg5s4x1sziDPbHuzMTI7XAiF2LsJ2nzD85PU99pi2RyzQDU13zjMml962UkZKch2vU0CrSWDnGazpXYExb22S8BQtkMLxOhWbiePm3ePrfaAH1nkDDzGYp7Y3p4pHzfGp1qFRBIruktn2hUMI8i7VLD1Kw6PxDGz7WavmwYOhd0KtDVwSh63eluFsQM19A78cJWAviD/fLfymqKwblFTmrrP8ZMb7qixI1u1B4x/k9bNrVt8LllUEsCVF2crGTJ8faZsvJaOjUobj6B9ICabjDJ9kYIgrqGm2+iTD6YPbf8EbbCLWw6yE3XcsZ6QSRHoh/zkWx7UzzPkJPCE/YoD3iW+esVhXDnjnDIUZAKeuTNPkKusdDd5kZsdOHJMIX+AOcsYPkft9C0znrlddMk4vgnd3ADnPyXzUrMjOV7IQKl6qwOdFouEWIoizDcvHmVOb8+0fzdzNquCmTnJwopR5wG39k+CRxlIDkBEwLnGeFHsKr9elec13MnGVqBL4u36h1jeyBe+U4G0K3uzSoxXkenv7ZR/2nWv7/UNnNbjBqeE6TtlK+yPcRzMm4qBLuvnbfacUr5oD3KNKuOr2a+f9Q7q747YcRsvJ4EEc+VeBfvluKimcMiq9iO/FPxmevmw++rHhrj9jxMDnwCshe/EPDOL+QO5+4xD4Dut1MBlzRwOAj4NHAc7EPtDvJ0+a9Q4Zi+pGiSG2m9y3eyT+pGdfa6GqGfbCXKevO5hUiLAqJBnRdf4eCE+MI7PDKlUhNEtFrhLfC8B3Igw08YL+8qC2irNjHg3Rcn2/f5/TH1dl6q48/VX4kV6HS+PQkCU2IS8QO6AsBohIK20Ip/+qfT8PP/nYmbWzJxuMVR27Z1U7SqHljJQ2XhVH/hy90C3u4kmH9zMd+CcZ/39fQ5gVX79gPgYIKeJo/E6E6l9FumTX7bwnYtHtdYe8I6+6eKc218bqSVk4yktnfau/NSCV3qAOCkx8CKGdjjr4j0o+54CLzV+F+do977X+1CczIUmCwmNx2MLfB9P52B7+G9e7F8LNNANcs65HOJz0knj3QqxtKDKkucs8IDhkTwbko0UmElTcxyAtu/5WXQtqVfFgJ+8a+cMrpS1UKS2PMAFBeskX8Z7WURkUj0z8xM+q2H6yC5zKlfY48xjiY0/1AosaGjNjBiprO13ZamDOecxM2Y4VxvZEQ350s0i/r6HPahg+6LhBnQBRyXjUbEWHuiNmaGvp+y3L2mnG+mrLqP45+TGGWDDt7xsPWb6mfK/oK+9nyz8cvF+/j45dyuLNKYd5CbLnJ0Ua0rR+7yXqgCdIYc7HHJNc5kdwP0fRY0n7PJQbJlO7pTA776py9wmTnGTDtuI/fwCPhcyy/Q8man1eCkYsdkwpVWEp9rHP5XzO5fVa7J3bMzMzHnEEQin4XAr4O0fVz41pl48QsfSslzO0PVoBc+aox28I5FyiZtud276lsFfZaXlvQyN79nV+CEuqTOb2rr23cNQ5eh9J6UBQz8JQ5CDQYuMJFVRYOp0U8hHcyImIMzaApx5iRDnLN+5Jexb0HVtzbxn5egTsxHkhHhKV3PPISPILyc+7mxQn1cWai5g7/7vs+TRUh8ZjQWsd4Ihn5hcBNy8hRUBbr7tJORVrGunDIFb+8AaR+5W9K9jztBrJ5bniOc0TBcV8gMT0wT6La9GWDthhwnkZRbE7728MTMpma3zLNvOlZBXns1DLbQQYzxyru3a3T2Uw4PMIaw29aNIIXiXAeTfrh4WXAn+0wzTCQvyaoRn7j5lpc2ZgpnJNPX1yN/eLC+VE+M1HTY5F8B77hz1TpOTb8GU/29+om/un2WYwrvhAn0rB39QRiIJeSfzW+P/l8pgeckQvYRAnOQYK0djPujf2dH/agJ1/5JR6pbZFpe99mnwBThke6DVARsV6OXrk/UoOuc7SLIcckfqpEK5ZQQYj662OacsAatSumtpb7SJN1dU/TRh757MlPkgfscGMMLDjfe64I49VbamqYgfdRgP2C9c0HrAQ+Iz9pPH2Q8e8G4fBcWgUVKPOfZPwXeA2zvb1BvWzE4Th8+g+bwk4MaX85z26YOO6RsPb8llBg2WPkDfAUezD6Z/23gpYM2j2icpDdt7OVx/aw1OzvVm5g2drK25w2+PKzP1tmY290norxuNzGzMg505pp9vupyjAHhDfHjfScG7P8n91uhAllibJRvRHX7PxxntIOfrSEYYcgfKmcYx398fVcf/8ykc0xcOyQP322/gaB4GbkTsGBndkgXLoni/lg7aY319z140vbmvekXfCec7yIP0tOIFA39OeOJmGvncmVrgRRmFzAF6/1gPxAYuMiVcSRziz8Ime+mqDgvuMPFnc7J3H/CeQZ8sWI3ou6bv7zVfcQj6wt4lNDJ1efMJkpWH8+nY0Dhr8lanufpJYN1g/2MZxqhBGvQ0Bh68K2Xw9SgFYE+vomrA50Src+ZqF/Q4YCr6KayWNMH23dt+La2lS5g9VgPpCjZHsB8i0FWXigF/Z55fI3kCvXnCnCSgB55mHjbEN3w7NZPXdsS9fjSBipuAP0D3ema+A6OmfzsOsn7CdcDftd+H6jV/gz54phZ8jiU/gOPGtTY+tctkaktL0NOA5VeaxwPoJSF8tFB0eGRB6qW2BEz/uoGW/TkHssTDEgDPiWsKvK7jvEZcMFCLby5aImx6DDEWk4T8cyqZB6mFZ3IwPn/eWGp5IBTvC+frBbFFig7pGj6vBqhLfDUcIQbTcQc5b3pix+vhZ0tzvoG7wiKofrH83znADnCmq4Z5z/y2M9qCRK1V2/LaROjCaZtXK0m50ftijnGvOHDnI/D0SYwTwUP6kPluUwgZnrmKYA0FHdFY5Pp1BqxKXEKaERXvvFyI67OG75aaGddUneH9eJUA/cNVLkw9e6j7SitTty3JYK9JaC3A8l/ZyjvZqw3kbNgvaIDVuYLeIaJDwP9s68xiDXmCVXn7b94NyWPAsZiyvr00XWFXrP7P864DXTbEl5OlrKJLIHcz06P4g9cvtwowF0Fhw9670LW3gC+TMleW6HYTszznZOnvLPhazyF2mz59f9ZHNbCbet1fyZo8YT/eikFdK/r1OlrLg4NmluxgcA3WnW1O6+FGNCZczJfK9MMzeWfBsoIGAJ6DH+f9/VYK7QBffNR5LAq26OPr/s5f9yYDrYfirhjT28kBHdXbdvqaC+ADHuvtAnSQx7hCpcvXzI6Jckj525dKv26mPovCnyupKk2ZAxHey5ylnIGjA3eIz9ndS61/98vfTARrYrey6FOvuWxDEaK1WAnwFQI5hIRH4GaQ4y+nlcOfmfPjqgspuNdE7XtGdckDLbPIzK8JFurD5zuxL8TWP4ctEJ3kX192Eij488RK+iUsXF0oW/agB76pMxGh4wt27AvusKdEe6Hjbja9gNJBbaGngOpJQnz6sHbPcq2fCbtCbk1ewCGwtIqlcLnxav58n8ECv/NEAKTPxeY+6qmCuUjC9ifrY5sjjgFrP6qR58CPQA+0J4iloonIqCwSsN7LEsaWpucTF8DPmQcMG29AG20a4xcb2rSk7zmP9w0Ry6FB8pXYkzyH3DlThfmoYpnLoO7/uNSSv3Vcp9efVXF1x2aWe1c42OWpvMwvbPGVdfi7dmMC+cVvwvSVDjgyPSOg+Fvgbf9q9dVruwEdYPy5QI/CCgK+JJftN3fTBw7bvupNrXa7UeEs616zhuNHwYlV+uxxtGsnHWYz6ysrA3I972dGfONprS7FENsUsBx3+o2HHc1xLh17LF5/HGotq/B7jwOOK0a6ZGzbIpttLpZnwaeD6ZOA5302aJc0zP7lqmeKpmJADqyFQ2kbgG5/NKECDdI/hV/cQE+9PfyjdFCjgOdOxTRIdNicmb1S0DncRd94RffK4dd0xIyvZMqCrSWjqyu5ZPDOnxDzJ2JrXI9kZFwPMlQkszxd2ZLUnNMa9h9wr3cfx7MU21dDd8ariCYDKc8RPgCujWbed5FPphcbdv/B4pfZLXRgVR3i0tUeRaRMjO9E2JoZMii1OOT7wK2Fl9bAAWtWPFN3F0n2D3v9erBvzcglaC+S+PyKRfvgDNbNrW9YawrPaHpvNnUIe9iWdwnvFIuDp/wDcJg/j8SpN4nzXEGD2sAZfmft/FcH1c7mrBqw972XTe0V+l9f9ZqtbAUOfMssMyckTgq2sZrhywJuoBWVgFGyENxMI1Cnxo/TZEBJGcIX5IhCvKblHritsEcV6Q/u/AFduCOQh9/9REPdYcz9xFWWjWBPbn59OPkuMJryHLQZAR5h6pAac0fG/jwBq87Y1kXibIsanocFyQOeYTi5ABEB3inQNGbOBvf1HWfbuOnn913Ao9bwtVAPunDzOgd8T3LyYfyES4s9gBseTusug58H1VZsZFQ8Cns3YN7fJN29yigBHfZlM4aN398j07BHhs2m0V8P+DNm/p1Xhc/3XcANO6mZFWCDJo5+66cGmUn096lcfCsZOkkbnWC/gz4MFjx4dg0cogAtWAX1QtadDfu3hbC/cAf4NegIQrXgmmS0K1ZBdY+j3XvurekD/ZSAnzTY/m82iyTNYNPKinlpbT+Ya2bRe/DvpqfC9KpgCrnnE/PABi0UFzS2AXceiYgR6PsQOPSmBNygHN2P626S9D0jfl6L4Y/VhOQDYt4HnDn9d5bFzZn1dyl4Uodyw4LeM+dVdJCmxv7X2x60w67x/3rYLh7C1K29tsBx+CfT7T0BuId49FMhIZbRm9s8aOC1ZccemYVAF/9dcF5vhK9PoE9myVFyFnLKdEzJoE8EaDrTiBKuc8JmWY67tAzakA1tx13g8uJ6I/TvRtHdjC1ZFMPzhR30r08qWXcuZHPC891F+ciurTZN7DgjOhaE8yvwUwS5v+Vr6pAo/qz5dBX5X7scIXfbZpY8cQEfx0Isl6IHzRp4FHK7maf0gQHTSuftBwsxLjab1MxR7SfUBIeFhl9PNhwespdBZcd7tu4OaQ7cqdeRGFFJLd1C7jRn/rR0d/CzoO/FNoV185s8ZqB9rQTVTuJinUSgDa1/vYFEhPyTrG1b7ec+YdZNUPWt1r8bbP+1Soo6THmc9YBZDnBkbXpUzaQFHRLrj1Ui1CtXL2QkWaF3k6lFPVmg0AAzpHW3QZPF3HrXHoCuBGpg/IyT0NTHLkMZ7WJi84uM4m8hlrkWW6+0SCEo9qXWN4rUsRHtKxH8YepL4dl+qE0m6k4d9ds0e90351A9eMA3zP/PZ+vNo/ja38q1NT3bPnC0pe7rG7cDRw7t5mgRwXoZJhrnlX3wCnhHqf7rAt+YyvDLSzv0A5zQUR3zalj3c/ibG35KHwFAPG+lb2bJ/asXtUqmgBerz6y/ridXFdJn3jn/emVuS2lYPNQQrErIn0pYVhWoBzY+uvstIuETNAPzpJg22ap3dScH7hORCu3jYAnUZd6YaSMs8N7a3MznWDL7Crgxz5UGFYrSNXE844rzSPx6bZiiIsQ992v4vVvrvP+zZsMft7LwVXVKEBF/m9qXk2PusJYns/mpQTg2HpuJWOw6aN8ekmtJ/76EubPdzzbwx5RFcq1BQ6n+uTLI0RL2+Zn2C8TVj0KEQKgQ6sdJExUbnCMG69mrNc7hn58Zm4LS/+uw/mmDLopVl6xZnvzzF4U1d3jUrpRPH6AdbqADDiXin5IDbg7PWxXEi3IWXvTkhENkFb28SDQZXfISaApr45Xio/vv3IQBJ5WTvmD9blTUGxbFwLjYv/oNPmAHtHFZugodre2V5XF5cmA/jrD6Wt8VxDa1SFLCjqGghyHPHqRLzjRAorbUmfrMLjWHd/T1bAbjY49yOkKe5a2PbdKCdnrH4aPpIe9BBidOb1Fmf+OonTJb/ki+G5XY2GXetiS/OqBXfCbi9cwksCg+qUjy0tQDdu1eBeoj6zDsAZNXvlZYz4j0EnjxwU2Hr7f37CoQL5SvN0n/Z8FCowR4IPZ3IulJmFjoo7psd2ZqBKw66FadnmwO+DR9NAzvDF4n+Zd3FqBZw/p1ptqHfPoo9QE0DcAz/3qcOX/3IFh1oN3fOXM+6CyuZmqrEn6/RyDPnc1M8EDtU8EcEx8457Zimxd8D0/mZJIdPD/loJ96F4M+A92ZAI5wwJWAdGRKGZlLht99AafytyamvTfh3FZmVp5Ac+3zSTJ8LVYMPBflvz059nTIRo1K28zRweR3toslf2c1KQHrthbw3DIpIzPzYTeWlu2buKzXf3OK0wztQEODhrNIxG3QWJYmskMPxvhBZPOOhMAPuvZShlNJNbIajXxq60mJq532Swt64FI53l5EZC26r0fqGn9XnVJOjmex9JUI3jHfntzEASyzjQ+GQnHLg+sjZciHv1AVcEhVv73Vc0PjXK3JUjHT465pY3inH39nPO5Br4RCqBflkBsF+Tw6S1b06FL5pM0u27dPhTb+0udQ3gXkQcIZfG7iSBFfKXu6SuC5snd3yBmHKiBZSlHWhN6nqUUvxvjH3G3XIniywAJNud0r62nObXDTfb2AgwfmvLd2tt5bEwGXFkdH3jHf4ZMFWEkRNbNlIIcWCnh5aiFe5pw1nU5lZyqW22/Iwwsd25+qi+dff90ccCZYChHIHWiWn4x5OImuxm8tYoN6n9vILIhd4NQnyEU+5NeYdTIlNF0z0+PPJosMqqt5vILwGzONr9SCB+/JjZjakiGxlM1p0+PJzLDGgdxgv+3xfs7h32+FRg9AX/tfzMP/Ad16hj1zSrrDk+xnSwzeWoeI1dZszm8jwKcL9YG3iLlsBP4B/pQ1/eZBer4vOw6ay/PNWV8ScVQCrwHsTeoe9oajomrdvbX5GfjgQbncBT77wr33Y2bjZY5Kyny30gDeef/H+AXZCWpz6bcDxH1frjwt178vM8s+Ac5c9feVDQh0Br8DtrepM4NSnL3aPawCsOSdl/kQv8govbLb0XI086Gut5OzcTLIlsn61wMtSOk4BVmucCrUiINtAHnifDb+uyhmtVvbql9EafMSg3gBHLth/7AkQPNTyyMkjN/fa1JO+sSAeVmPNhVojwZ4K3C0kPikqzvk16PRo/jUcNRSHT8BD0HHFIAd9guPys2G+UN0agE+2oIuXZoxefFQt8anpMyNtvvnK+LRoXdKrT4Kl8SlS3LsxJRF8D04/2YBHovetsoRbwRXe5rzGXAohPezqTT5wJAHz36bsH6ri9e2a4J2Q0dT+61PlUso0/KE7eSNG4ezj14QH2tlkVNhyfHo2DvF/rhlsN3hkTlH6+4Uw9QlxuNo5a/Kld+gdQno4bwZ4qfqgDO7XMroa5P5yQP2MMnWXch643vUfmZieWuiydQTAt/4ACZuelR4zc3U9JiUGvU0n1rglW2N9IWFoPiHyfjPZ0WHr4BZr2bYWMrBVDqgcQH7MtPn6PNNEliOGCDvBOhYBtM75ltsbXO+31rJfnuugAXXA0aFE6fN4JF0hKd29UFxnAveEhosN4nQWgr2hNjZV0HLMdtKJSAP5rtn1nttmk83gpAEnrJym5Mq+ldn3mWuihJh6ryXMYP3C5q1Nf7bpQZeMJr+O+TznoskankjQCaClgSQdMj4370C8PBv3OMbxEysWL8hTroAF+ogDhnox7LO8fssxTpHnFarwsC9CtHDnhZxnA3TAlx6yHrSgTZM4Qk/Es2njDHAdm+iAFvU1JhqQgHXoprrgOt4bHoC+kTmJVv22FowjXgsw39zK15Zb7yVdoBx19WcwXB7d5Bsu9TR32cpPFTzxHgWpSqP8RHQmLPNpuzRvdbtq+BTmg32tbDmAni2kKCfzJlHJq6Ps0+ImUmH/b9vDvACTWiBGvskgwfY0v7wPH0lLv+sKMGw/73EmoD//3kJP3k2FAnF64V3waOKdqUMuYQcM0qImJppi9lKK53AP0H3iuUDMOuzcP55LBwK18zOkPmZfm2kM33j8cv0qYcZaApqeedGqLzMth/GD67hf29yiJ2TBU8TSAm49Z1wAvk12EB87jJLR2mOLkenZbjT/u8svxX9m2ENnKrlHdrA7+9rV9oYuG5mamgsT8qR7LCFvKMd2MZ/VO63sEbmXlj9VOFyhygdTU8l65B3ZtcnYHGfBPJcrC1SA7uVTuvw8M87Dk/A95Oiaz/Ua/6k9t/N0dUfTaeOEP0Ldn/r/S4EeKDsyCfnJOFIF5ALNxz0SRb9NQ49YxnMgULGVxLJMtwuSUd6OsZXwLgcNNvwjkPFyF6u3MUhlplj+Ljhizj5777yap8h4o0PkRBTVPewruFMzoHnAS6Ys97Q7C1Tc0FoDPpGHQHlSux4TqV3FybwxGy0/uPYub7xMHCLHO1NXVIzfNnnUBPAO+CxtUsH++O/2VbeU4XPjfHONvPcG7F0BHQS68mRCjOnw1oKwIXMeboJ4LNieMyiXUvCt1fw3T2z9hvyOT9Z6Kz01y112JqZXso9vIf99oOOBPTV3+XkGE+lP8vptb2cVrZkXJszlp9GQN6z4hvriweP/losQq4a+hu878HUSZyc/t2jmh4d43cOMTyixfhq1ZEcIM5eKuc62d8fqt/cSlrboAcD6qbGw/dEhLc7I4wE48AreQ778cPM9qMBR8l+duUgLTO7Eriyc/Z37/P5/pzNZ8h5K0ZkOVn9JrVangRXCwu1sm5XMBfdiZhMjYutVtkJNpl5UXbjS4vlu4/aT70mm181m80cmYfhYWaOF3XmkvD4XFHcvnkURe2dRrWjKHspF/KDmO8N5y/IEQ9qfHSd7ZFTyBGALeUI2N3PCRu/HGpdl0psKeTCJ813FxGorhl339SeeJLzjnS7WeUtJqF8n2+8ONp9Vz15JkI7WdR2zNZzNu4mOWyAC9glcxBrOBFFF8eJQwYZMTOjJuW9NndvpbKWiHToA3Lo9SwQwXriIkfA9ey16dCe+P/mjBQcqT1gIgGtQVgOWM45Iz7GCTt4GfxMM9h7+HwHMKmoBvtZr62pLYVYkA4Jtj8VLxxp8om7kzT0NBcKcBQPZf/L97PSIe87RDvJ5QG0a8/YHKUOKk09NmXEzPX1OOIh1TuW+GZWDDE+Op+AcXee46gBLIfYA5WsSdn3sKa/8/WQdP5smgjSBlMbFU4tsfE7LwO/Mj7keJf2aKrgl9dmXzCbZMHdkavuOMNpM7afgK1XEpF9vX49To6+QuzbgFmsBP0P3MiRlxkCiWgz+xfid5O4mhav+Qdy/vvenGRssYAfZNWa2k3XfgIDeJxceVMWt3GHBxzyfRbGNhukfWbpqzZa0t8B1m2/qantsb5uDTo8jhY816BvIpKO0lPP/R2R/ZThbpe+Y0MG9oEDC8B9a6uBiJMzXdTlzwLc5awG28z+sgVtP4lFuqb3PnjAHsz/MlohaMyMrYivdT9/MIFenOmxZqkrQEtU3ZeXiA1w+nc/7HxKTa2M8X9yJkHDbQQ8MOe+ShisUBUWpkcCMHg6yk4DL5jSKpABxPguc5kNn+cZTq3MNJ3B47g3M5u3G4H0zLneV9a8AY3g/7u76dSes+Uj7XDK+PRdmr2Z/87W+6j8wClRbLxnzN3hM6Ff8E+SkR59kHAbSuOLA7oI+P9FGQ3jslWYuAgPt0yTE9a7teHtew6CC1xTcyrN3PKugPUrnckrOXfKQablGHuUtgvutS55e86i1Pgo+icLgzaNI8whSNfdS1ltXIXTdA6mXeXYS+roU8H0PrFbL7X/+dtca4hXMycsCQE/ci5q4ADV0IqT++Vkr21s+l9E0HvM1QteyTEbFly6oC9z0Nl5v7I1LoGv7c3sutLZPM2MSdCXXh3hO+zzPHPf9w73RY0kkejqNax30sFoJtKnzOvoEGuuZSwEcEg0uQmaxjLs7QqUAs+2AwZNnHYtLVbUqlxLGaoA9k8M3wf40hxnq5klb+7S/vX5/kCiLRtuZmnNm7QjQbWaesl2AR5xSkL0WTm/cQZctuU82EIsy2OD1FGGoHHZ9jPJ0RX2oF+MvUsGfQTNOZQREcRGJ7r2dhmi9zwOu1rlnNlqX5m5LzyOqx7yX9iyzDc+UncPi3ikkfYkIx8sXEbIy4sIli7JJ6tw+fVk3DKH7WzuK89UQ2x9PZpRmlndm7OPnaojbw4A2o8fqPFttiC39N434KFfWoAhtL1XQ/+C7ya5XcOuKB7YnPPtt5/VYGqhJOjC+pZd/txq0AzE9M4AVpRDHGW6f4F2uZS27uj6z0MSJZftlYfwhIABpmYksXiH3QPgkPwWI+TocPoBJeYqp+1opwfh715MKFNP5p45Nj0zRdn1oFYxLpyFJMan+7I1z9jSAfa3/6830KVolxaD90q6OJdUZRJNzsklJfCnnlN0Bq48YkZuat2xEr6XcuaxEBrwXgoZTLoK7I7aLfCNJcVCQk5SpbTZq7CWp9I8Kum/ma1Zo+O8juC5V2zukFvsEw36Z/mt9+zSpbz8sbKRDAr0Bg10C2hnzm4KNeqnEBxyDflRIbo0kbZUNKUsih+mt4aFxsOOfFLRv883vKaLd/BcYxUZfhbn4jJ/88v24+Qsn/B8DwbfDWLQeDlkKlB+GUg7Gexv419+jvQnD73jOZJxIzy7sGMzl/goxjgljHuVRo86bN+1xPcMIcA51VYCuExvWXRo18bXr9NKnidr+ag6eVE5DhI2lYb/ga5eaBd/sC4GvRNjHmIG3KTgDvrmAm9Ad2XMmvaQO3kpFl6G+t1b8Qm8qBWDzgCDn7xXU8MPNuzPRK3kh1jLkI5XhwsbUVub++cfiFs/ZTFwLmVJP76buXJHyBCYYkdmszlnh/wHMfuaLanNfat89wYCfzFebhzXe3gvXezDXqFs8GKsVX60EqM0N5SxjenxYSxYT26cK199NzoBzji9DA8zM97Sju+ZTzAN77esx7gWy4a7scNADb7f11lYDzleb5VAQ8Z3kOe4qa/6UQj2eKdH7LR23bWBsjFoRgWa4uDQ8OkA3ix0wA+udXqO2r2ZxVy7OElhJ7JoGjK/dbJRnxut3z4wfmbuXJFysmDOjT6GZ8pKO46I0z4EJXnheN7JgTwFXKy2bCb66Zxak1+i+smQPsheJWV2tyVDsaJozALN2ChjYhevMw9eYvinl1uOgDW5cYjHmBf5JGo+ddyxswZpmQVyw/lvLbm5v1+Axy6iM3c5llv3yx7e36EUqIfvQBKnd+BnMNN6SQXPKwH5RKiI9f/Xk1XbKGXCPoiOrRVNLcB9Ugwqry3PJ4NtYqCE/DieqYzgmY/1iiK5xm0zAN6PiGevWXC7WEzrV2XOblErjI8M782MQjUmTvDey4z1CLEen9gY27Cv0tpvU+CWLY90jq22aHL4NHfaUQH8Q9iQ3/imdiFXO1MBa1sQBxRs2DrAQbyU7r75ANx8mFzJrqBtph44afC+h1XjwcH91vj8fsiVEBrtJOu1Q9Z2TzrCy0CjjKki85UN2JjQqDAz4w+mhz5bVZJ1Xw5opw3E+zcO2qDx+a3pmHWmOE0gWhLr3xlRzi3joBenTP+F+NZdNeq9oMimOUkhPl/E2qaEAzF+zUPy2gLO6B88ToXwyaXq42eyYilBqWDUnkAP+SqMOTFe3KCvWd8yQvWbH3ZnM1epUwcVej8ni3w2QiZlvy0Yaj9YpHeJFXflZV4z+2r6493fM3s+9XJsv1Nmc9Aa3Ny1S8eeC5q8Gm1wo6WyQ0Plt6O5S3tz0UbjPOvjE+25TCw5FQ75zqx2AX2dccvbmXtF2D+5eWYc7Y4lkhOsZyGMH5HeEXjXn5mNz3UnXREuz9omG7WCfhQxoQz4Xhes/9ZwsDtBjSfsDHxld/r1KjUzGkNkHy07h1wtMm3m6dofpg+ROPGT+bsxGRavsDFtAnzOQP9UI/aMfzHogc/UrW3ab1uIEU5y/a4XpcAXdkcHAZ/ledrtsnTQi+lLob1Hhd9awMsYvPMltVAIWAa5a37C78fAj9oyUMeaSlr2CDQY8BGbhLU1OaBgQIfivPa/HDJO77oUS64B/Cw6l8HB5UMb0Q49Mhdj5arF8CAuZEEQgRwae2WEbLLqvbnz4Ejuee/5EE85HdWG5vWTozbgwC7gOTpgwppZGDTEv8+CmNQBNj7bNnBx0HjGO9Tc5zVDu8f7bZRQ7dca38UQE8DYhLAWw2eMeEQJHbycWByy7Bxh5j3FsMhzDt9n5JgxMy/dnDm23btPSrI/No1iKYOt8f85167x5ektzlpginOSav1dIb4wTRbI+cA1dz+KxqTOp6J2p33lkFma2B/U/mjxG3DWNhULOoNWS7W6yz7957WY8vYqOoT4AFoq224aQQLQ42ZGeki0hD0eF8Ajdth6PrIIVnbVWa1li6m26uhwK5wY+ACmyoYc6Jj+r3hT636TMHhqjRa+yrfXh0sZyuUoWRLpD9B0m0zvjKfMh3KMHy/WydhvsCWNN1vIHO9m7vBBt/CMoZAPHkuA41Tr4XEW7UmCxisD29xhmJp7p6AY8F+97+ijJFRzuaqeMP0kutUNm3dZ9NerQn4lDHAZODxo1ifEiTZni1TIErRQQoPnA3KKBK6dAa4N/83KnPozrW2mawf7XMLff0hgvXHePtnkisPNpna2r3Qk3PT6kWG6w58NSq7KopdX7Mcle23LeoU8ymNWUPVTW22Yjco7Wtbm5IA8DbYH4MT+70zyFX80Yb9K4GeSyzf22iQAnS/+LE1gy/ry51lDrgcstyE3Fak9HWAdH6wzHMzg9tPMY/koKdYcmbrJZQ85i9a9dcO5NH7mx0LEFzwEm4yrGYvtDTD0PTfQ9EfJWmx/eE9CgRA+WpulzgmvKS8yPnnY0gT+f1jmO1x2xsuN4PKyDc7BLBNbztWKd9kImhn4kXTVDDomqdFkMyd4VMx4nsf9O38RSsbCStds8O7EBl493F+QAwGL/niZ6YMMVSf8+Ao6jLAxNdx5qqz42gT8VTpft8qeohq0DvCoa+1j0NmkL63Uhty9AQ3oAMd/8/nzmS2WuddLbTxD/hrV/m4DL2N0WFwMuJb1Xlo5esyc5wKc6VMCcitYG9m3d8jTWZVfn+mqptSSQD/RgwSIQPwB5+O99JmDu8P7bHlDIp3y9XA7i6VTuXQq2OmV5h4TE696mzUssIA70oLdn3jkH1LY3xgpu3LRWrkEcqI6VcjMU0anbJSIRqQ42RDHNt7JtfVpj95ajzccZ3jUn2WPR9AiHL5zco4IBJ7l/XdWg4GTXzfY/dpQvy3oIKnUbQk4b1V6ykFraxbwG/DBNtM6yUKUwK4yZzAz5LE1Gfn7fvmV2rHDg3g+B1uP6zhMHTWn/XzhwHaLfsIkKl5Vzy3G2Sul5NH0uEsNjgSezaKvG/DoY0N3c9kbb3hs8tO5ctVLoNYqhBJVtHvzQyl8mddIC2XXCxYI9jNaaic+AaexaahjwAEGOYhyhItsNd4ziXeykUst4/tqfJ6xDdod9DRKSoa48bxhwddCgRlVlg1rfXjnZUnWXQg665D+ntPzrOzVkjrb3HgFEz4VZQScMcIO4JfHR3LGIZozjefSIkHBtpkMNT8Lb1/oqSx4e09Eqw2/TAQvs6h3Sja/5xPd2e9sGrljOU5Mnb2pJ0jz3VIxLk9Wazfs7p3cwj2uuzSD/AfxWvLAS2SXmNkO96T3HqD9rxWzLHieRYbylThyksBfeY/h+e13zAv4DhuqSQHP3Bu/dDrwT/Kr66cy6+1j6czGJ/WQmZ5ZoW6lo8bK8aLSBc0OOV0ytiSUrL93xSK+gihnwlc6HQOId35VwfZd58AawBcWJcAdLUsGOqj8+IDNXE0aG380Fx75lgjFiJlLqfmptltfOeqkQj4mvvaJn641RO/Z9N+gelN0mCjQSMAlrwmzWQka8/+/82W+nkH3n5s+Dk6veQUetjNzcylSexX2roz6B436jaJ/X8c1tlOW3ng0laS3r0mOZ+5qXwTPJc1xCPv+BxQyAwxLfs8ohP324CKJbsMmlIAfGvIcFwndmZrbq5krUDp4k9IvRwoywt4gFVvsTNemH3phqz6BjnupcH4Qi72AI8EeAX7C4F2ZWXnOHdZpNv0/71yJjX+OqQksrDblnTwIFksacFmJ+4sM2xb221oDx27MbCbWRqzjZQOaurIAxvfzjo/qbmZVMvdqEfgc4LZPiO00EfoISuAie/KeX4lLpjHWoPkHMyujtStm/xQ2swT6eyMUsmqwjUBfY+Clo9T4VFpeWYawmYyvvq9743dLndqha/oiYdyrUIbputsZP62UzW226vKNh4mD16MzGW9Pc/dgK/a1AH+ajZYDTjhWrF1YLzkJQdvm6pGE85SBNjza0y7Lp1ttxUW16uloE+M5C1Hy1/SQPaQwNSSgBPv27acHGogUlYUn4DOfGGEMe4SnQ3xko0aCFaBblzvoEoZDwjMu4bvuYsjh92aMn7IPjJ7kwCBAuxNeWAT0grUkoe0A5/yufX0C3vTGQ1pyLs5oCpW4G9zugYfGxt+8EJA98tjc31oQo0HTAb4Yj3oB2s6Jh2KITZ2HDzr0CTz5Tjg+Vo5tnez4BTl0SoHjgbY7p8P23/khtw8bplUP3IJlgww457uG61G6u0ch2l9P3NQx9RXbH9b9tRWABu34WQ7TNQUc42xrYUemZpAVpapPqDqDtvxs9C4ViHPsXt93vksVYQz5baPcr1fCW8ny6QCBa2O3PYC2inHX/jC929eIjEJALnBsG7iolMPdBt77KdBuBq60Mb1VyiI7ZXmwznzgIQmBF2xqXrzvzV843PpnYXq1va6MNPB0thav+VWCBjF9i2aeYYPiTvQt4Ony65NAfeCYlkdEbw9JHv9U606b3k/QSDvam/lI5Kzy1IPNY/b++45jOfN2qYZtB4rPzAU8VMDFlanBEPELr7wsfbYBDLAKhz0ob7XspayourPX3fh8LY3Y3GANPmAlcG1JM2vxCrw8lrb+lDn3EvHulb5vmgieCTBKrrsfgnRKLETOCHhXzixzW1I5yeNk4agc/ji0+3K5i9NzhOA9xB5zTJ+l/YD3P9JQnqpg+T4H+MXZ0jNXptjh5/+bd2N6V6aU7f9szqhYmqjdi1AOZz8Wif56FM5SlOP0rBy1sNAbYV89C6a+FZMt8ORjyuGNClBMA55BN5Qi8DKRbZdzqDw1yqKBL5sM8n2XbfpKnSbHQcrQWVF8OTryVNCDJX/zHXyGbq/nYGE0NL4Z/BskzEuu8SxC0L8hftFgOgBX5SpsEUGtW3WxraLJNf4HsD/2LPzn0Tph6+AmwfyZhORY6LZoOsBqTs6V/vVMjrNemjsqmYzAH3KSn8VzTYTkIsekQcbjeLolOS8A31fZL/skb7u62xlvfyvlXw9sk/c5AK3WVldj7yT93a32c4vZUtLs/mhGPQGH60xPTCYObjN4+pzXVkPRgANOcD71AKWTQArwDw3AtzeZg2B9SUtC7nM2WaXxJ7zM7/7lG+Y74FVxbmpey+GwmvkJyUpeCikzH9VJnO2hRBMFrfxZQk7hZma7yxPjf4xd2RaDvCRWC+kY1mSY8jNtJw5rnfnyKvbwWfpfDx0ll+10dNpYBGifjPCWUbpIV59rW6400DvaBQtgEQcdaTxYcWJ9ObQ3MzXIB8lbJKM4yKLrgnuJZdTeQIvSJpu5YO0VC/sCfPOdv77ZmKy1Y//wYHKwuwvESMpixFrkyAUd0EpLfWYocUuGb9xRBLhLDvrWP7ox8FH7pXi7Kc3zDca3ADDe8Y7wbnHm2INcAS/D5V3fe6GXeS1sULUaESXQHTDxp2LTCuL69js9I9h2DLU2X/86pl8gGYOltGTMnH7DuY7SoR1PoF0T8VsPFTMdfxcjmUAzX8tB/XBhv+8djMddoUT9KnL0TPuNk9nkO3VmxGh8S5nCVTQBdyOuCqd9KYCD9sCdeu+lAu8h9c7KQq8vnYVB/v/GjDyJtf0GjulCbEa8R7Lp/83l9MUIGnbAj9SF/aMJaKS4F1o9a6HNOY7R1ivrbQ16ycwVfVX2DiXGg4QHT9qnqxgg15s5PxbwLKZ/lCAZvF+KO71mgixHq35jr83D5dN4ZqWjFBBXWRlIVK3od9Z24//eaWDIyRKe6Qkc85OHtcWspWRMn1O6S9MedEoQ7zIb3YmOr4LNU80gn0fkcHK2PuNvjn1/0HCbMeP1gTArxuJVrDii43RpcrO/ig215gS0aZKIw+sMOHtmgZMN7aUYTa1wHCtW22XQnsUwDbiPd3I8OEd3N0GOOAHvsDJO3vtrIcx6Hm11kyNodF+nyge9wOMQOHCkOuOhEjvJ+vUoKZmyDtaXEohXfGv4lyuy2UrZNEoQOLB7M+4nK+i/Q9Ip4BnTJrMW4EDt2/8QsNR+cjdw01VHdY9mUI1pZu4vqeZmdrYEnVfa5r7AjpOOm14AkfgklB25ldpMZNw9iN65kO+t2vLM7FiUiSlifIooaCNO/8025QnkeNBm/NdXzGc2iJ9jOXxtTu5km9oUyI9aRLht2GJmWRCizf1Q8awGm8M6y8KyIxXaH/A+HSHI51lot+CxbXo708FOKEiQf7zXOjwNdgoB2BnGGWAvolxbSdT6QkCWdpSZ8XFLB+N//au/jQcKAo5x5zxuk7ywihWAxSeJfM0XyGk7GW7Nvf5KLeVXzvLud4hSq14Kzfdl753M3RmD/yKNb4TN6cmWn8L4cg/WCsr1XI7aOufEEgHRhRObOYU4zXVgZigzM0HM2gKXWG5nH5szMJDqcQZ59M17Z+AVaRNwBPnh1HTyRfVhU0V8PbrByp3ixYFzJqP6Uc4y8f38AA0Yw55+gka61yK2zexEeLXMVMQqO1gg11mAp6np0Tb1g6znb/8NfA5sS/XzGXOMj+aePuBPYEE+Yym8q8Oz1uheDnZXUsmlJvvKMbUR29vRWbSy1LWwFG5AV1JLbxRPDS9PZHQADStFAXmCRjv/314ep4UNykqQHrnFEenwQQUt6MjEg/d4oMDpE/u6kH5zo3myECuG9TVeteROIG8xt14hDn3gwwTwGvaVBn6K1tSCHUP7B0f/vMV2JJg6ddneK39X4EEelY1JKeZA+u2PqRmvXW6BTvQYwosI8C3xv2BvqU+GdpCb+b1hm1ejD2619h7kYacG3GTd4QY8E3QbeZarfNctf5NR9aAVXvUY21lgzzz4899slv/VsTKRPoq8dU6g54s18KqVa+qYQVET4pH6AE2ZQgz1yv+9y7okOn4WXP+cIbfLfOqOzj+vxam2+VTnBL4rSc1dAu3/uMVlCwoRIeDZZ+wiG/hgXK/F88y2PyRsN2f4fDP/4OT2Tp1zMyuJpLpYMOVHMwtE6uBBgnqV4/VRR9P7szqFvrwkiJ+l3p0yVw2QB+5JeHVJBAwxaFvjwktXXEoeT2zFP4p5CXHjvMq/3Oo1j2dWAJYos8OPJWhRaqOf1MIH7Md347dX+f/uAoralYAzxoMET9JudcZkCJzmqkQrspx4tUuc5rJNCGNP4DYQa/GxDLc6288daJ4gAR0qo2nOQtC3XbqWDikUh3fvoyG1SEeD+D0j3pHWdC5Bw1BrioT446Zd/SwZEjSEXO637jmKT6l7gG98f0pn9qgtPeBx5zqKcdpznPTTjQp9zxzyyHjL6qGVKkq8lMUvyD051erf/qo1MXXrR8h/FzYkS4XivfDRE/iyr4KJZxbk7sAe6lXtmg7p0kch6KaxtPisQjIwZ1lNXRJjW4d05Bsy+NwMfAbcyJTwDoX7932H+H201Jqx+FAD5yJU60rHruzb/dno6px5DHCV7bd3FslUjdzGg16avHgo+++jAYygPvNOlmdmCuzg/0+VmWvGpp3x9Cr4343M3zVL9wcOQdMMng2cM6vXZAM52ZHjDtOL6Ye0Z8m2fhng8GRPTIX6xCE2MGoZ4aanpdXU1aA/pqupDy1psiZr6krIY1VwfzVUXtLuX88+cE08KJO3rYXgCDmgp4e69z6BH55KbXphyUuGeKn7qRS8tuvQvgD/PieCSN7PT87uHnD7PnN0Xgm0IYBVgGE8dWSR0H4t2OL841EBin/91RyPVuGf19FqPzIOPJ3ppQB+BXvMOtrBmjDpqqA2PR5LrbWP+4lCrICWRZ+ASW4l4t48o4IMAPqqLYfJoi571vm/nseVosBqujZJLWT6dGfjvSJtJYSZYwvYw3viQM4tk9CDd8A1xOBcWqoFnuvjSNuVD/o6iAPgufeSbTMykEA6OKn6tpfw34oRvfXXq0bTSpzJN9ORVLAVxHC9TrHUMXNwk2dF04XwwqFo+uHWFTL4789vCOA4HjYrX9U3tQKH2ABbIcREP0MO2wIe2DMzZ5yRevfeuklnenZQRjS/pKb2FXgtc9GNU4hpP/5J2dKa3iqFJCBn2wGu8DokK+n+PipBzFp8mt4L7Kre4LXx2y/ZFGViuwEN50gbvX3n9injvui9Kx1qB/jEVQrQi8J7nkNyzUJ1zpyt6cTjVSQd2eEh2Rsfx63Ea/Iore1N9PxCrSXmIArNOiZ5b2EG+xDVm+MKvFe/Z6nP6Wnduclr60jauyXoHDUWdhIu+mTHczGQZ00VY6bvmf+e3QDv/9pgjoqj9fU4uWxtembOHy152dpEyE7pr0UBn5R+sCSW/dNE75nj95uypKwHO0hs4P2O8RjgFrvMkYq0TPv0qVZiAV/CIihuPNS7Cv19SEa6gu9c0Kz3JtQt6LRHLXCS9MguUTsajUU0Yo3QHR2WN0YRwBUH8IcmkTYeVyVopl+/jTpEsgptc157JoF6AL/xEscbygFdsI0eKeSnymqxZF5JemxmYQA/WH54DjQsmHkd/AGeu/1IIvSeA76UPtkINJ0om5Nz3lpGj1Q5/ixpbUlTX2HZQN13hbLaHe/jPAuvT6HbqbC8jDM7FXl7ZRYveW8bTzhGcnWtB2+tHMVFqKy6J+/e9o+CAgfy1Vx05KMcyEV18pOir0cWTmY2ocfXVsLeN/PsrqWzzWuH54DNP8B5dgXwWBUdbIiZZ+VO2TlqezEiuwHtzLXOs/wv7Of/u18+M/sEzyWlxV2l26EathsSpMvR5m7p3Bc6cgqxssAaF2m/Lc8hJ41YxkSjfQFay9SHJJq01IkzZs6Zo9gFze6bO6SzD3ufyvc5m5OIVvIxviY8DmRmZnjLH9YBBrh4UlTSQkgGuHCuQxnwfmsXNIZn3p3h+S8V4jlwyhw08b4Ktkhq0CustViObWbObzuVyDx+z63YJOPVyVydJ6hFoPOOKpwh57cOR3/XmvF7QplT8raoO+RkPjKza89Fth1UoC9Vrmi2csrG2sy6HZmtMhLEBQ+2O8qIQ0MbstDftx/RzXjNqw54oM8vZVe79Yg3KvQ8EiUbQHUH9vadvrZ+2sc+xMmrjNSjeM0+769r2aWWEFKqQN04vOPTWixnYTky5LYIiW08PwtG/u2vmgGb7YHnRpMHZHmPA6TJWD9r+Oxz8OWWI/EAByYG+wr75LvpAF+s6U5F+1TGt8TUIY4yq0K9UKrMrEQKPAT2PU5JtkW8b9939CnkA6rCxGsoP0u3TShg4slBrQznsNG7Bw9tUUVsZcNmEXz6hj9ry0juqG5/khWJgmOeWC3oBNI3vvTOHPI86L4KnoCLpcdB++4NvKc5cHQ9AfduIRfxGbDoWkZfXmX6LNnd9A9dzUwl5QawTm0BCsitjfetswW910JsKUTznVtZd9hL6Jb0PAOePcoI+wlvXQxY8a5N5YPlCIgP4NY9texTxlrOBQeM0Q+QpjfgT7dymN2MTQtwZpECsled2tVRG2eAAzIvnnL/B3RGsJ65dEUPnIGhEjvwvYM5Mz1D//ssLbhs6wGXdQ57L7gCT2HmDhNxJn1qxSK19OOMyEcTqSvxuVN1XFcdIqBe89ToEl8eYU8HzCWfZbAQcpknauqRup2mA95Bvv93/2X6OJp82oCCufG+WKtx+uBoSrJ+Ck8r96rQ1Hc+bxT2QNVP8uRItwyLtXA4CBMVZsFyojlPMz+58cjcleoooTg3tdWVi3ozn/vdd8NBd2S2/q7DjUN8EmDH1NNj0CtyOEcoMHsi01hW5oyOtpoHlumxdJu+XxQ9PKX714EohrxNJjlMPBk0aVh8hDz+KN0dBt7+xihBs/lHDfErW9s1o+2EI5wIAVju6u/MedpMy5x3CDiUEtXw5ZFxV8gRdQXkb+niXlE80rEl5i4zo7yrhzvo0l1Swg6kebDAGr1rv5faJh/KmTmxY8lY4UF+S7gDOeM1G2/hVFrtWKzxK+2Ym7CppYN6yn76SVcU8C4OCuOv7dgHNqIThuxHwyk2s4jZivos16Lq4nc/UVcJuyzc+IdS0Lj0v9qNxMbHJMKiHAFDkTb1GCdsYVdEPbyTNjKcG9bIbYIZ1kCdGPudH2Z8o3nC7JsS+nlcyabg8dCE1jvm/cqyS9Cke2KhPR4Bd4P4kejphIHHsOjLUo66Ale5FeLpnOyvl+jlIgMzj2EHz/3rd3MUY/Ci9K8DOXQBjvSo/Nb+9ZK0f31+3rVz/tnMZOfTMXN3HY4OK+gNWhtvIb7biGHqsgAR4CPwfDI7WcCjnPpVQSDUYsnx4OUFRbmgB2CUE/x3478Rh8zUkvUEs/CPXYnnOw43qTAzA60FcNVqED5JthxJryRwhQxy5Ah69LsMeCzt4CZF/0xNbAyTT9fa4/mkE7dtmaW/CeNzoycHsNjCa/0AvrM572cvceV7DZ3Cgd+8ckf09iVzUgty59l4SlY+KFItR6F1UENcsF//VLlpeoQhzlpYHzMTPi46fSX5l1cCR2R9+1vHnAqiMx9/Ah//nQP01kRZNqfn/d0xPvMUXVfjy5MMywEPhQO4/GrEltDc9E1N99rBs/F2JoPdnsPDBn5/hi15wu5ElCAn4+XIuRxrhp4M9intg6Wy35xtzqS1nUAXXCVSuejQWeSKFUK7ieCfCTfzhrH929vu7sI6T61yaD85fBcRLOZefq04f3FHU+D5t4pjrwlxCXE2lsPmBTGQwvt/z6M//ldLNXuF+HKJAP7N9VgM3gI5IUqHYENdycmoZda3F+a3I11TK+2Nz3lyM/33MiBhk+96+TJ9xdenDKYNYM6VW/axHLVH+PT2GB9IiEGdxZfCnF3pw5O4oBoCzSqGv5kVx6nonWa4A8fXoCnlCPizSy2OkkDe6AC5cPz7ktafJTN18AjtGh8FwPEOoM1wZtmysOP3feVEHIVh3SfIUzfgkcdqlU4SQb73lVPS3SG73F9ZyE2+LnEo45Rtj6yPE9BJ18yxowS4Z5oDvjkYk2FiIiqeR0t7JcOoBC1MneXd12afVnWjtF5LZgFHmyEfK7/x01sqplM2xn4VmNkrcQh6pGP077Ps1TEb+lVZaizz+Frm8gUa3oX90Vc9Mn0RGeTcUwVAyBwd11z9q3OQLv/mIx+qjsGelxYb8R00JWjGrS8t0FCgS4tebwjT5r73XjNzvxrfJeAx4NdvL0ZhmSpUNJMcZ2eBLcAqH/LNg6Pd2Az/vD78TLQG+80d6b4cYs/c+SjIH0Ued7/zh1/b1PjjnBE2k/7k0WHAk9AE6xSqPH4ULkoBj3fcxikFaQI/98wGWUIOfwA/vdQjep+zQW5jTpX9WfHaP+goX8DZPgWKgYvubGZ8t632JnKEAPsS+M6t0nhTZHePD1N8dArLeIcAZ9QJfBD+n6cr22+PZ/a1JHbbJUH69sd+NiP+f0yda3equtf2vxIH6agvF0JAlFhCDpB3QBxFCJQqVeTTPzPdf3s/Y+y117FVSeacvyuZhwtD7fMUJXsz6y/rSGlqRk6FuSNBT2n6AQ1thQMOvqs1fW1z1mG/dD49w2yYpm6+27plwds8Jk4e9Q8eoxK0p5lxsJfsL3/+JmkSZs40n+M2pAV8Leht3Mm3cpQ+sLqdCx6mwf5R2T54snnTOKhTzxl4Z3+ngZlSOb+pfnmjBemBQb1UsCvYnFWOoF8GDXH7pVNum9K6XXOHX1kOPDCGLtiRozTJqPNuGd9pzuzUiB9cl6ATTS1Kej8zTzajXCudueeBE2DRtby8W9kT7IzjqqTkCHq5yIb3Bw37Vw+TB121yWPtG2t2qujdrQr0Uw1bko7TAezxS6AQbBm0ebD3Kvq5SaPtKrUOOMJebZNI5PM3KXq3YapSgR/lXHume2RdMBvi+JEJ9bprA7aUBGwFoi4J0r4l0prtdJU5fP6odnEKusb0NfXFOD1woCl2li7/7R2Bf0Cj5QpNTjrMbS3kBjj9jXHCTP0UvL9Kju2RUf3SKUsFojJ7bhcelk+Zb0GTgwcytb9isZWtcSW8Ux7z0uh+0F7fHD7o//LfCGioa7WmV+yGz6yQYIt7EKGLBj+P85GYnlimF/H4Wi8ZNa7RBafg0+Nx0pe0tLFol9/auU6GDU2ulBN+MHf+PaeVA5rdWTSLTb9w8PdDaoHm8zPalpXR52tqn2nyVgq8qcPkkHXyNdfsKXVjgZaiKt9mVT5viAA21YmEZ7bj/GulgV9ylJTw5z53ZVEz70vG/iXv/jmlPWXAUPQUyegcTuYeas4HG/wmMz0pTf7S8P/NaztkzA4zSjwqpjS73O4ien+WA3kSYG8WJx1FqDvv5qqKkwmjZKps7TWjj5VFSM64Bf4QOGJr5riBXtc84/ham7rWAvayIN9H5y9nycNiieDfJAfL23MbbXJniqv436Pkzb22+Bfs7QT4CjTBdMXa747uHv7ul4O/q6A391J7En2u2dq+KZvnElimcsOlHMH2ei8Gm3jlYlWSeXEzEjOrJ6vY7Cmx3JiDOGjhiFueoMXk094+kgHHqvcO8OcJ+J1NHmlgly0rXcUx1V+S4xVe07D2SRW9A5/tnjk6or183esda2cG/dWKfFh4GpYPGiCBRyREB1pMeDPsD216mgKDPGo+xVIkP7iYbofnNqzg6TBrezP59/kwA5yDfs23DsTvnmr9qIZPi1ufr7PK69ElBzNTsnb0NV91WQtyMzUZZDQ56urWRKGTXua0Ytph8ZeZ89ISpMCHtQ4LcQ46JaRmRiDDoDfJHlj1KIJwI0FVns15Yuy/ehLeqVtalYC15HLHzOzgni2mfwPEMsY1qD7m5WCPNqzjPY1BV/at3wTpwh3wXY6dnJESkj3cnE9mpnwH7OgCiP43p9PkO8Fz/jvvHfFbJXSqrNDoK/sM35wGbQgaft88Z3Ye0IUgzY/WbaOi7dhoda/53joJfgN2ha+dOeiehPPwKQPgwqGF+IPjDGK0FFuRO9vXvd6BicdGMR2xSO/pMI08kFiE2xVHDzPHd5cP24WyhSq793iADgzYjq2tdRZ4p+x2J2i/AX7zVfHPzS4zo1b/YCvxjva/DbUnnIKtv3QKxBdkauW4meXYS1PT0JM19WQQWnX/aaUav4EtyDzce3U+DzyWFxVZC7BplqJmYZHyYa8WoGWrXPtPKRbvbG5NQjuHpzxBTHzNhlsb3oOfI1cZtajWKlCj/zzHvZMG5HYKVJaO2fNoTfeG+ieB0MP0msr1dKm0vtSiPZWX7fPgyK+DhZC0+QH8/BHr6Stzykducng1ep1veHWRXE0tSDqGj5rqsoFYx5nSqZYLQ1PJ4tJNR1I1lvckIzFzE4Y8SiJTK5/ZE2tC7wP27Vib+SNFGxG7f1RIJXWBIumEDzxi/Xqts1YDd7Fdd9iBtflgTNqgB4Pa1RcRJzloe5GZPsjhVDQByU2dRY7Ad4WmvrY0s8zKUvzvjLbni3QmmtrE1ClcmcB72EOvXP0KeKXgI4L3iXPw6aR05Qfs0ztEdMSB8fDQXknRPuABVinYFAWnD/q7Vw56sjE5njVezpTnInqA1iI/plenGBAvgYPKArXVQP7ylpntB2djdyLBR2cx86mvjH4CW9gBXvlbbuq5h/aeDfA+LHwv2fzIHHhWYe80cbLJLa9N+4TB2jFiEacKPp2q88d8RE7VexCVppd9RbLHt3OHNrzXbwdX344u1pk1f3E2P88ds5sY382sLnnZZpjiiSFtckI9OZCjYvtrFUqB4zY6RWgBLQccgkPsJsAs/pfgKqqGx9/cwMwK7wcH39huxuae7txPoHDhge62Exf7NYVnIN2kAz1vnYupO7MN8OD2ow6UmeE2nSE2M2uJBJsOLJzKzOE30D1P4G2LRNMKzP3SlWCK7bd07LQ0dYCxmZWALT5KoObWxbCrFC/N+f0qxd5NV1jXUN7rMPWOz7lTA9Ys9CxiTTfTZ0CCTzmJ/ZMFijCmQsplL139umvLwb+85cCmp1CdjvCOQRsZ1nsTgo/Y8nYmVznVmhFnGkmfXIChRnOWc1h7U2v+IyIpgbE2Un+uqauOp+ITbGgyPfxAa7YRdl51iDenjtoH/N01LfSSIv6G1/BROZ93eN+4dHAGTNVBnLbTrm15Ua5pDL+2kwI4R4i+deUoIXa3O9kvmbLQPoPPC9q7o0JXoCHGVLxmZc4X2ZkzHt/EqMM5mi81lR9AI46MJ0b7d/vo+j6PWz9nzEt7G6cUCymkTcWnk/f9tQl1cLRxQsdkpZH+UTZoZcvuOAN2jCBud395lTNlcwzx8pC56EILdTqhFoPW9yD+jqC9OBf6B2IJzR3ZMQ26guMiNzPsO7+QFj/iaHIhes1ZQb5Sjb6lmaNut890BzEP6WfDX3e+c3sq9Ftp61hEm1Ux7Bxd8K2XuaDW+xU7zR34emDcz6WZuQdRmQ6hI0NgJNPXyWoe5z6ZTB5qZZmeyfvr0ZFO3vEB4hKRu3fgHsxfmkjFU0BW2OMun2q3tfjFzJXFoFWQ6WGQ1Y5cUm1oI3SPqzzCWvXAF7/9lFnEL+lKIJRKR4IfZG7olYO5J0ZH3qMTGbk88Vcf6dmiIzlxlz34isrcnh6lzSMxph518SVzG+D99Nk42qUoEcTSecO2pg/dDwa+U1RpSRtPru0H8DjDbO4bREQVYwbP8yRNvgqw4ottsIW7xvZPGZdDxWSvIkxzi3R1tORiwBB/l7F09R7Ww1JIw/eRZTnyk+gJbYr9Bp5QSQwH9XgDWoiaPsvgzyUPNWGO3QLr/cVlGvubbMQZMbVdlhcK7eOTIJhyPqkVAXfoS8YBzSN7KU1OZ+Gf+JrAe+RgdzLO3eRe6Wnga+tTsbXOPDF9PlvayQ/QvKgS04tFN+BnVtMPLxuIlwatDbrO5Q6KSq6A1+CfCk+kXJoaDviBbdMHUUCY5p261JbsswGtnErzXDlz+ueJqYG5qMh5slBnu9Ru8nqGdqNNr1+88M7fQ8zmDeiPhmpRu0SADi1ORfZUNHvyAjtmRjOn+ClivzOMkPX2QYVeTyzbqtzUYcUUg28EBpwfjTmbc9WHtPCr7sbPCj+AffMFsVrkiG3SXkeyICizfYoRxD63vdPQWs9Ux6Y3EnCu6Y20S2kJHP1fbyTY8z/NADGIZVYV3tyMyS/F1Acd+4eZ8/I6IwK2L2XX/vyXr4aHg7Oksn9fUkc+JJUij5NS6n4jWWnTka/sMqM63IbYxrvKUQH46Q3VOMp7DXr0ZgkBmgqF3tHVIWhbh/J/f3OK1eXd5MC1tABfoT+fTddbwLJlTVtbdgRVNk9EgarMnXyC/nmp1XamBy8bW//c602mEw/s5AvW7obBb7NwmeDHxxnsJgWFibu/+0oXW/PaDJ5VoemNMns0deRsSCIB7H6OsamN/QIKPmKmr4L6ADtTRAR6UMvchU772uUbUfgz+OK1EZ+r6nX126MwTnZq7K0T+ztLyVNH786htIEPNhUF7Rwrcg6RmzP0VQ/WM4PYAjrWL1343HFiAUfP4A8j8I0dMDhsVCQrYJsS9Jbpxa8oKhp3shTbmrXpGlq+WHSVbLMBe7vXwMoV46ALQHP0SZoNE+IIfTNHt3k073lPJBsRxDDT30vuQMN7XGzbSrQ2trSX9XzXIEnTXoG9SsyHjWP6E5wD/bJlwws7KtqU2KaHxPvjtz8Tl5tyNPaGD4KangT2VyOSD2VnXga8kA3Aql12zVZT67y4nCeMsSTIqB5yB3xKMfVneIbwPYRi7393iFm+NTkFP9jlFWF4aiIv4Jf5aGrbebQ8qud8w1p9gJ+wSvuffe50TouWUASq3tq7pZaJ6WXAAtBOuZmp2l7rSK1Mh2bG5r20//rqb6ibbk4F/yYml8fFHQO9A1+TZUKWstAn0fmm7tn09nkSnZh+7+PBkmPlfLnY9JXavYO26T0cqDQPW9B8Mj2Cfz0+t3fJ7FIg/aoLYOfdDRixdEHvXlJgVowmj3D4teWV9aDvwGoxMecZiJj5DDY3s3Roes86XslIfitmWdVvTrHSpfA6Fn26J+5Ppoa2ZO1X1YWvs8of3ktx4qUnhsXhth9WQbY5AxwdjC91uD6smX1wpZlFoM2Zx9GZptQu78Sy7ipgHrBhCB5wgdgWCSG/8TCtxJIp6xunXPkANvDqs/SjBN8cVnWA+HySznaTDjLM4GsxSmLwGXeAr03NtroCnjs61oZabfjffET5Q6KE8fHTBt0UNjH3T2y+mXO1oxV6jT2dsmFe2fiaKz1bwFwQ2eV3FX3+NytJJKyJbmu5mt5fJGdx9jxFuAJm4insyaOTfB1XBb5L/5AQgdafvvJePkWY6Fpswb+0oHn3K4N4WRWwHvDz/14rrCydyLA0M7ZOEvleytWmAoCpL/MMun8nQGtlI/lo+sX0DrsCqFlVb/orTksqSAL+DvzG1OVM6jrEC+XoO3MWB/foLgYtQC+9fFQF8bcXMS+5mE5pF26IqV9022/WeyHv2w3oZZpyH+x8ueSaF2c+pVwnAwu0rPiU1T0PcYxbBWyWuTI3+cigHXbZ+m8RXWZB/PzrA3PuYE+N7HrKZw/b0yUHLV6aPtYDz07B/q4EOgH3OGdW3sviy5bDllDeFszBD7ziEj5/TLveO0U3c6e4qamZxYtbPCRCjsoDHffKP0zU2GZc+2+pBZ9pUKyxZCWLf/d62KwHh5k5qwK7exc7yYy7zOMDmkCrHfkaOg1Er9zWEBszC+LArooQBnQ4Slubs0u/cm7PEzDDK3+j6b23pr85xEoG0GgPXnwu8LNoeraAdhWVsMtzATrCIeM5yhbsQtwfP5cG2I4MGvTuPOdB8lNzdSGc3OiIj83Q38+RRHWR2TJ89dSd/TNCkenHhOP9hvbIJcDbwAQbbmYN8/bAVrwHvNawNh85lQNowAj2ZMIj3RE2Q4zhNDMJvo534325ORcIYtSWiE7/l0cWeq+aRzPH1jF5oIrZHtbEEyhbywEFagAfdJkzFd5sFqPHwbEtWiRxU+ATvC4BP1FxpL8bG6VmRlfK249s7U19TlePreAsIbU1EWbxV1+sb+DXfb5KLQ0NOY3V2ASTfp5h20/A6YjS3jojH9jC3zV2uWl+55HIhQ5koVYD8eNXi3xz6+alkR4a7VdNKBcVEFjN9liPfz2rJzM36n+9by5Nj00UuEoXLQ0FxfrcfiutbvCzIwpyTYevR8mS37mcqgtdlW+tE0V2A34nHaZSXGYHjxDXTZ+SIZlYn2RZR16vZWY8MWZhRi3uZZ0vpS0nU9Nccz8hXH0LxvU5Undp6UPGYP8FxKX5fM1FWzYWHllHBqJLD+J0xpm3EtAOAqKN5D6ufudh4lcu8V4ESZiiz4VoEqb9F+gtXgLzWbnNzZ2cEELNFNaDhaZu2szbxMc0ao90RaARpkM9JpPSe+CKZWSDfpaOyjILkRyUMOcoadDfa1G524am18w5Rj8iRhYPUdvstqcSNAcfkemd5kK8nxuTyyUWBCyTgnb08IpsyVoPs5uVO6QFLdwCjzMF/NJEagIdnJ8DzkBPvc4PQzOTMCv0T36Zl3NIGNGT5La8UvfzUblTZfo11OaeMEoc2m8zks9v6QA6xJH8rMkh79CH3M0fHIjMsG8mTF4sBz+dPVmhC1Ek/ze7KlrgQWu3giesotZivSSNmVsWJfmJkRCc54WOEniNA/e2pr+mT+LpeQ6THwrPmodsk3XJUUVsOXFC6CCDE08O4IO+covZoK9fenmXD7ZUzrwzNRbl2FI24o9qzMw9fAGsf6kvW1eh0swXXiuHC9A5D1bAbuDKrRhoFDH1zZBkkvF7bScdBi0IvtI2vUOxxTbMRi/7OjaU2znjLg+nHOLQxEXiQ8wIQUcJ0AYPYk0jcMddocYD5vBV7IMeeF+x4BGOtjszKwLWG8G6PGsnBJ+hTkTz9lyUJt4GwACvs5Qh70ieCX3E/fZY2pPpv/skQwo2jR+gId2MthPsqTvnrTB51FWRHBrG0xKeRdVjv6TJqRwnqp7bwMyXwtHcqzAJGOgevJsjwJ4XH8JHwkHG7P6MVPR7571yG7sJcC+nhPGAa3n7bybuQtTgSRWWsAf8hIPPZ672agh0qp90WfArG4jpj7lJReuSUO94sHdS8f7i3svRVWu6YgQ6HPYNvh1sP82BT1LdYhwTMxfcOzH4LwJvGSJfhssD5F5sYkzuzIgwbziJ7Yz79i0NpBa9J3BUPs9Dv5wDZjPNXzntKfjxjZlldViZe77crnVRPghC7lnMJ9V7bcNlxPrHJkX7jdBoJwSH/Qe2OiZP7LZ9jaaCd/j7ZO4Qtf6tB/qdRy88poJ0rfhrPtE8EI4R+F3/91wTAUNz5DOUWsAQhRin8vduLZosDOvGgMNZqJPz+GVyiVKw3W/w7cCOGvjs8yoCU4mwhMDRoCw0+L3HHUf2K7fHU6i/MqtdzqPM8n475yPbyIisdPXvJheOBYiTFd4vs0MeJoXJWwe+rvBu69SDp+m6X1Kqd6nw6BF4ksdsTd1k4qZWI0xcaZPXfeVR2XoFDehVTkuAsW+N2G5EtHHPvUz+m4k27avhc626dm1c0Izw/zyQu+PauqDle7Bf8ETtk1zeHyeGW9AZK7NsmYYc/FpomT7Qr5gC+mA9s2UFHqclW4KDxf3SaH8mO1qYvIqtrm0ynUJY1YC7NWgQzDxKi8bkSt1STng+tvM50h8QNx0FvleO+ifrzHk5PCHwpf97rbFhGqVg/9wFbQDrrDSSzJnmNLJW3m9ZQxPTd2GXFUSATr0T2KOCJkyiyc4t2XOdbkjoZecetaBJwJ8pAcyWMufdzpgmjcv+ZklUwd5mxlZQclJMlvD5l8YB/gQePzy3npntk7nJYGamqCjp60B9VK7uQLM9KXjQ1FpAG6qyhseWu9PbKdy2wLx7jsjb0dqs8NqvXJEStEBAOvWtAv1s1uwJzOTDmqZAxsnBWSBomz7AS1Br/lGCVmJIByZPCHTPo1lNrS6a+bq36wjea7idmw5Px7XcyNC+gQ4MGP/r62jVPFzLHsjVQUQVaKkZWrIiKWVIHqZupRFcsmjK8i7pIMb89tSCmD/h39nM5IOu4ZOsCFS11nzsbRZubOCeLg9Vnv7O1kpemuiLUGyYLUqjeeG28kTUpg1KDb9g3ocLLKeZIO1krr5mjl5SsFiw54GHPFJj4sKaDHgwM1cS1MQogjh8KYXZ6+gN1vrGqP/qD5AcIJ5yob5LNr9VFH0Ak5g571PpeLHJiWrivX2w27ku/hk9pWUPr8n0zTBQDnaSB/2dBfKjMvOb2Pa76WdbmZmCCG3qfu5r8OGvPV8ZBgq0n0ZeUYU8T2P/cC4aW7kSGJDsOPe/S7d/5OBfgD3SnNl72pvep8AiHXmmwyKJYz1qnT0ylgjj14mZMbOqN8o1q4fl5TeGCsGfcg7sTNZzf9tUbE4rSsxMteBcKIfGLf5vNqcMGlZeSz0969i/1L20QUs8mQt6oje9g1QgbR40djJRTnI6NsBU+KJ6Nb1yRbjz+VDBP6uK3hflgqAfYXdbJWgG4L0usVRszq8Xc+dn+s1vwDY3oGftOvh3rWM1gg88URtD7MFgo7ISwzYRiHfALjseARP09ks7CNJhR8bZ0kRorkyvJioPZFRjzt7voKx0zlrXzJimoIorgZM0bO/5WK5Nh550/LLBl3zU45dLdfM8rHojOpU2XcKV42kemuYq6BWXH4wlYzNgc2eT82H6rW0GPWXjqHG4sxzKwvSsBtbqFSKFfAO/v4e4fqd25inT75khH/jzG0feXY6JjR1ty+fcgRZIcJ+5J9G+7hBBC4cLDc2MbPkEbfVtamlYP9841z+8QxZzeUGfWy1+Mw9vT9CDFivaOLORdY5anIGWL51pwxlwmNN2fPX3KVUFG7yROvCnKHu87jjggZp5LokUk5UOtlXHyTfEhozGE/6dT2L6ca3a9B35+NU4DnojdluZfoOlTtpcJ3faczNHDtb4t0eQdbR4n8efV+kk+8x+1afMMeyGFFP01Qj7DvscNG/L81C2J6FOLJ4g5ktAevwsqQI/PSfnwoe9b5ucazfn5Jmj9gk6IBYC0VOop6PjHbmLvGz0xzq0GbeS156XzG6Pp1gXaQf8RPm+oQqevbwebKTBXnwBe4MLSbOC70zeGGf9sxn9IO/TlTGZ0XwbqsgCX5Y+UwT299/58JIW0032y9qMqH+di+Zm1lVv63xEH3QEjSm8mAoEGtgLgdEk2Ete6cRwWytj3qaOPmVsXmXgx+dAnuiw3ZXgpUgUPqpoTlIbVWm4FMpSu0rLgVlfr30YH8GjSAd1uf3P5fltcx7AryCw1bUFm2/uoNjKzG6njO8hjnnffEjkwfLAysmuCZJIxTKtIsvGMb/mhV5g7U/AlfQMvqoW89fB/b/83pL6i9EnRLwvjdBFHSSge/ED+IHkGp5el4AOJeCDcQq6+CoZ9upe76ve3Bdz0APJE+Jozy34vBp9gab+wl1Lgb9voLOIsubXWQpK+9DORGipHsscdA4J0qVxp1PqTI+aYbviQOaj/6jy377BLfDcBUwqS4N/rpkb0JiZf6s/HxwMb0Ue6TAjPNh32v27AzfSOlKv3NSfE5NeJeSltqcZd705v9Dy8m5jMX2plZOGSYLZ0h8daeYwOXWgx7LwOyXwM8u3BxFNc2lp62juANk2bS7biTg3c665weGSYnd65QTatW6f4O+ARz831FJSxKoHVvzm4dZtVg0xZcpAB7O08z8YamNztiBi3J9j8ijB58L7upq8mmrI7tiW5XH1BQYff+6B1gd45uPfnGIb+P7ZdGoVY7uphuZBUZKCDngqiMEpmoSZqw52vSv59GbmiOWB70tgQMlD90zJl4jwLAd0V2H24D1KQCt5QGR3OiAPuG6mu/e/PoEYfm/606i191KabgT192WX9DIuHxCrZW2ZnMN2p/olzUb1kwnYO8N2AQ79Tq3+cQo+N+d8NrlEbt2VTlMw28zsVsOcnym/1tErF2v2zyZPPcAM83KTBxC7neWWF2a+I37IyILny8GnK6BnM0t9MrUXazokHxDzFxzpL2IlY2lNYVWAPYXK1Kt9SwRMF/uns1YfJEp+XmxzBB2FB/5NRrzJbdCdhbSbOHSY0PDE0Vc2Jh/5b+/Z9uPcw2sC7qfxb68u05MHbBmtsG+svC8toZPkHNkmD3PX9NtrKkr74OgXs1W54y2mdxWx2gEH/fVg2dpoh9LYL9g8if3yxNP7eWwDFpW2oP9Mbn5IonZM19bU7TjncfoWvemdoZ9gjE852OjokINgj6vgyatP+6My73v954HPBM0gh7z//J1PBBzqQJw1fUYG4NSNGLSdd+W9eW5PmVsuNcJ+nc+RuXdSY/os+wX23naF9btWRRtka3qvh8zouFctDJAXn0BXrXIkuOn215yiwPQkIqAHQI9sagox2Jpd7kxlIzJbDg8bF6itB/uQ6qn6zdvgoMF6mTfMy1XEZ4amKOc8MJX12PFeufoEmPi74T46AP/hHviaIiByFINN09wFf2LrhWrsZIKMlPoHWbTjYfULOZj6g2QDvhQT3eZpT0hlMwf0V0VHcoDn+wGawJXD3/nhTegS+Litam5mYveO6X9Brd6s01z3XFa99BRPQP8il4IGk6b3dUg21Mx9i9RPE/AbMOjxzJVPhcdzYUv6e3bmG/3ZN9b2dQZ7PFrem5mTg1HCJexdPpJJ8WlHzdf3y/GMEAPuTEQAjAGMS6LUzG90Si2fKeNOOfpHNSSHzPXFGWJSZeHfPsa/tZ+67cvf7Ijf14Jfg781tf4cH6XOVsHVYnqyS96WJJYfmVBm/krMIcLKAL2dYklL8N8lby+Soe5MQ5uv5cJXkxDVujWbPs4Bv6T2BKyn+7JoXtxr5qFVzEX8tx+2Nmfn+Jjp5Ao2mlCNAHFM/CQ0FaZ/ipfz3s6rIknTrnlCPD2yEO8Em0Pg6Qx8ynfGyAoaEJuaH2pqqovp1bfnfzmX3NR9vtUW+TisfGwKv8wj0pu51tItQSup4ISMEkYfqYOC43Pr1kNpnQvmgP79Tp9b01PCPlPlq92M5UAeeRw+wMe8KXv6u1+W1PSs2/Zlz4Os0yHEDdBrn0/Q+1lmJyMD3S0t9HUK2lCtrYf7KYe9ipRYvJrD73lybFDj5JHUsmNL08sH7K+Ehcl6pvJZwwq/cirMLLe6SO2zNjPGuCMKjate+TzgQ6b5hBH6OnOem3oHPrRaRPbhd5Yc5cDwdgHPq62d5dgAf6g1eTsXhMggdGrNrlU/VQ1g7cuWs2IidIR9V/jfGcSEOkB+NWpi7iZrNkcVMChHKKNBaFcucbEALgffzmKNuW0qy+WQOd5Hbf+7VlrtzmHbihBbVWj3RxvtWM9fPB9lFj9Ixwtk3A6c4Qpeb6wstWe6TbizPXLRxmQg4FMnwTRPSgZ+o/e+QW46VW/dU7FcFO1Bk8D6umzDe84zXa4ComrOdHIOlxcDYGr7dzG0jA76CDaFuCY96z1kmkYaV1U54A/gF6zHS1OgO3XxQgq/4M77ko2ciiF5VmBbv3MPBHlrOp8SQaJySK81MPEp+luvDcTUMRWNo+y2+82H5toDrXoSvendWj6VY5t+OiP43qW0+QQU/DhF3IXPsSim2rOWEIPtpwznXTWUHtg3B60G6gt9ge7rgf9fZ8tZzlXIHHQlY79wR7ZVIU1vuaDi+kO6wN5UfYHWhhj/tTLgRzlOJOO8F7BnZI/YwbKu3GoWEtotL/QzH6e50Yn+ndNktyUewhdjO5i2+zzAHmO3Vcaywj0pctCMTbQdS0fCGsqnmX9ddUlUDaDdL7cNMJ/p9XEFXt0rwf6bK21/bZpO9hAL17OY19LMYV7xIVvRq++BjWmzlKvy8OX9UTl8UEP7VY6Jo0Lvidfe5aBRUi5BGuhcrtr0vdL1+Lngy7YVVGdV31xNDnoe4ep8ed+Ujs7zYnpLAx+Z2Q6q+KsnCjPaZqeAF2qQiQAKUcM2IKY3gatT1mePo5u4HDQU7EF4z+hecT+F53QDlh9ZnyAaEucUaQeWaaECzxmVdxVjo00X0xu3idXLz3/kcTJS/WUD033XhanX/2fOBlEeZ96JgmwceUw02pCRdyQs7+chvIpxik+Fn9EIFRis5mhp08Pzt2eoCkpPUvwjHUVMLngdv+o45oqPX8+qKDeyZ15p++CvpkfD+OFobZ+sX4Crtx9Mfz7J2PaVO0Fk1k/Vf64l+7KJOetYW35mSZ5HdnsCdsot7yF6M5dcmj5rBQu91/lhmV9miUHPnKiZwbLFJw6xcZWHo/1pNEeSi7mSJjuQNZsUDLge/zl1gUSlJy1o+8QuGRuwfY7k1HDFmhXnJeemhjnM+8Xi1l8eUWtGDssVeF5svQbiIHWnTR59LXhoD8xJOkpbu7qAfo62Q0MTBz/noaSlg0X7EEW7qUfyQ42esP67OwXG8AmYPoE4K/rtnlrLi+dHxrwkd5Ifc/+utAZeNbOqw4egyRE/t8fUKe9sbY/AmtrM4SDh1x3ijKnTcajYBrXpoo2SwvRnSwMEMUCRxm3cg0VoKfAuHfGrPwDF/bKvVg66USMWho/8d5ZY6vAOPZuCL2edPKlWSx3y11nOSkPpK/FY6giX1Ca/HFy76FrDs67Ytuexn7HAdPTZu/9fvZ6fauDpVbNT6GGwqW9Td5iCHs+6vUX6+Xhw1Z2zhJueOKD9eyHaOeu/gN3bAZ7/AvvTr9hkZsFCLGpMjROVK/jRXpke8ceKk/J/r3WS0WTTwVTdzvfUgphq5kGssD+K5Ja7RNTR0nJz5yUUobYGe58Nhx5L08cf9pt53/C9GQ/RG2P6h4E+qIy2YPgb9I7Jw3/xxvOwogvX/zz4LKYmsVVOu6Md7riFZtHPfim46XmQkB59MUQmMzcH/H1OhaoInw5NON3r59yWvTqmke2Bf0lTqi7MnE2E85oJ76+vfjNABCvCu4i5KwLVNYONcaeeOJb3g2O3EA03ZhJg6si33J4O2WhqFf17Dc/STFXJuIZ4qzA82ztx+RfoKjdjvVsNJKZMfgBPvno6/VdHMyKHjxM7uGY+EeyBMbSBwwmjUtZ28mb6btSdLk+BvCiWdODn0SmaKcSHidh+jCOTqzAfmthPMpOr5uCUciBBqiIcvM6jZucMEf34nL+Ui/SZkW/RcYlDr+MhFrUzbxQzvSr5mxhTS/7Ow26NnvYMN2Fbu2mPZ+CE03l4LIKFFotsamw9s0wvLvnD7enlNzrQMo9m5R8mfwf4Yl87mwU+10YKzz0ayxxUDu5iqno9wvokxE7uzdg4FZoup9AeyDil58iy0gFFzN0vGRBJKWybP7d56uzv5nz0VVth7qJhNzlkSHrVqw50sw2a4Ae09Ufz20MuvTb00+IjNmeVmBVTmDF+zIbSVcCBKlrW0uXfsAd7bPxJh21KVSijZGbR3gM981ovqx5CWEd2x6tMm3CbZR3/EUwFGUcL7L20ifB3tX4+QZ/6dYy+4bl+/95Z9epaDnJD+u29snGempyxoTW90KzSzK4JQW84wGXO/DrH3kP8PR5sAqyJwypcjqX1ueRDaMleOnVPEnM23KzltdH6IvN5EcAtOcM3EupKOZJmffI8rqWTB+oO/rGE2FCaPr+NaCwC34WM5K+W84yypaaf8CM55rHp84GvoofYHmhg9xJ0yH7B/bYDfQvqfmvjMXmkLAWGQnkNPhd3/dJo/gC7lHmh4Pku7Bx6B6rBWnqIAix73SHugAVHHCcV71t0tPYbZuMPcnm3jvY/OxsI6Ba+gP1eFNcVRiTBXKVMMJtHGtHo/VFyf4+L9sQj0BKu7oDFDyaPFhQo+HJkZbb665dyZjOqYiTB995Fj5OGaZICowuOzVmQBfs0p2NSNSvosphEEGPMmqGDsxU57M2saDszP9mcqddum50vc4ZN36XIu5bAveDbXvlRvz3qUmsyfeQO4FPGvFcTEZjW1pYI5hVpH7oZN3mC05rZmSW78gF6/6fRZqY4LoFDJOnQVYg5MfdSFfN8eEiLcoGjO8zBt75874dA5E6YtTk8Z+8c6A0bp01lwyegmQ3relJhe2UdPI/QTGM1c9qyB3blM7PaO47wR2nNX4wS03ftRES5oSsGfgNmXsmdrn4K+uj1Wpema+yD9e4xxAPwmRZDyQ7saj3YCWiR3uNaftTD9JZftk66Ns+yl99Zl4GdyFPjqm+6u9m0/50ruildaeYT+lj7cT7gKF3xYnjppb/UKGVjK3zabZ1qmBzTX+Scm5olrvHldk07E699QS11bTjwOf/3PI+mDqP1aIHmo4uvTTSVdLCuJ1CGoOHxf2dj5NLstkF6mf+v56cD+oOC4rXRhlqWXVnJg8dJdDSz4gf7gQdZKQqef8g8nM8BdtmTDKDhmZoriF+g2WbptJWZv5av6MHCpQNeAB/SrpUjV9Mv4ZUHS1dl+j/8KFe1B6f3Ds/td40mrMAPpKYP8TDfs17ZJJpkVXDcROqtZItsnO1CQ/VVC3VKjZeKk5DZU8sj9Ei5evzuw7X9qRh+nQPscbggsIeqQdKqrcQ7c7UHfX86C1zIfrOqyzYA/9VV1pLVTjI31uSmzuxXsUpNPDLnX8B1MR8I6N7No+5762A3jzRUwJ08Tp2/fssVKwhqVpkJrkbiJlKE++d5mI/cCt18TVyqk652gEPR56q6f04esisFlVZRoKl+6U5RZh/WcoXH4Ei2/dX256C3G1hvsFWarn89gso8xI/KAp+r0YmaPjgBjnFXXk1PbT6gSo7lE9tyc+4wAf7yasa7dG0HHCb4FE6Z+VmEqpdoOtCwNXmU3m89WYD3pqZE/vUVuV0Pa3I9OAo4g0PMV2+g9WkmHpvMQqAH9CrY77yQCOToFyiMKGNAkkiJVNhahDIHXTmL0Z8l6HTQ7kO9qhv4MZG7fp7b5IqZ99LmjBTtSGD7YQrr89tL2+YV9Uvi4O860isD/VaK7bG21EQBIUkxsdryflKtjoaA8s73BTJ505N/2s05Bo2thPwui8kmYDWncH7Fr7QU1lP8akcvBn9TlZxktZVtVKgGHqMLcbSNQ9KB/zoeLdvMtb//r8faAhY4lVzdQA/SegDm/Z2P/vmgrjlnngcehF7Z878ZhaB9sRhhk4fwye3ExYHeU8YeJAhtWaRLNeq2jt6vlWiDfNU/lQX+js3zGU1fpMA+u2zLE5I3U3fKxRyWDr+WPJlxJL+EBo0oplcerEkh8wgwBthnW0Uag8a24fVMn7lUmhkcHSciSmAPPMwd6MqpOooxOeWmZmzkFegrM/fd5LL3wIK2cgkFhojrUG9otC3z3fzqz2antkqPVga+52ujCm3XlAS1NucHwB+aOYZvOAM7WtUKjHAvGf+m/XYCfzTldvJBaEsIM7O6jSaQ3XmQIbjRPe0hNsf+PR/+8hzmhql9itBHWUinBI1xHvAxhy9T1Ew8I7cSfC/rLYeF+gP0W1d17dvBSo4m//1stImLrd89jgg6mxmC7t4SnFSS++beKG7s8qWXR9xJcSpwSVbkM7Eda4gnzHT5019rE8i5EbaZNz9X4BNzzseG4RL0+r7qPTdHiccdnJ2pBrvFQWp8K2sp6MZIhqBVIY6yUb3Y5g07yabskQ3+H3jNt8qeFJkrZxnqn3NBolpPqB60lVO5MfmAJ9oyGcscNHXMBm1mmFVlPwEf+CdM0ffvnAsxk4pxAtxnrkNf2kEQ3VpkRMAqiV0VwO5xexGo/C+Hmf+vV98w6VosaT4k3n+9Prb5GSyXrhKD7o0y0DQn9G9pKNgq6JXcUi1zydcRnjUHDffyh0JwD/ggk8Oyq5A56+QaWHLD+HSsQ3zI4+RDmdiQzz4Zky/gNrex0g0rUNL04YOyrX20p6kJ+YlzGREkQQ9In0RaQ8wLIUa97gLAbj6B4+wENNMPaMeTGHiCIzvJmdyA73ObjoxAXTtm6ZPi+A42T04COFyEm6Mz/WDjvwJdqN3ckc7sRW+PYxQSCwNvbVvSty8Newf7bTOTB4G4J4VKM+63zfBu5qUthJOR2TJvNAnLLrEY44h1COeozfkAvFuomAsFPms7Z/n2m4LmNvNlf+e3RdMR/NzhxMjrfMPLxTZkYTI0DDRIpwlEvUMaebLqtxFGauKMlKSfzPlhaeaUpkEbZdbjmoOOl2z6IIhjRX3Q1a1d980C//5OR55h2zfz/6YT/+vtvJSUS+qGbjP6v719KKyBqfURv3Mrtakxn4AxW4ijprcYkRHmIiw9M+uoAk7KLtsLQZPPLC/iPH0AaeASGKpi+gjrYGbQv+ZKP2qb96ntUzKw337557i5y9F3pfbNXKnvfO2vFQfG6NsDrPk1HcOV8+ye2Qluer4B5l0qsN9TlKTgIwv4mhFigJYdr5o4eSq2ffX7Gnhka9i70TmcTV/CXcpmimnmgu+9yzgDH6Av5WVOSV/eQY97ENed0vYdUK8uHcwZ0v6ejRL8FArT3YyADVHGTD++qQUSFyn/2/M32embEHZaUXU354XALqUw54maBGDXo1o/r2cWPtI1fRCKvBz8wTkuHTES5xS3PNXyqTp4lo51BX/iH9Z2bJBiv3NhHFPXI1/1KUst7D3m8iHy7am0uVuOKGDDHMmATPAcM9BK4OdQXun+CSzfsd0NYtJmgzUOc2CUvL/dS6vZNAJ95JRElQtrbv3O1nRLbepr+IsPgf9IVpq598BMZn6rHPh4KthaDa0GOw1K9g7r45s59AkDXc8szisxz3ywT6XJH1n3T6GTMkXyANp4hvf5oTSBJwLW4NjAp/OLDz+qMYmbOHxiBx1YiK/gLyy+A+YRHjx7sjZOizKtfzK3reoB9MIwF0dbCrAveooWM5fxBLb+xq2JcTZzAeya6mSueWbxlZsamVevjwcdZHnebUNz/qKCvQvx6cYL0Pdamp7vVRXz4MyTQkT6BJo7U3ZjGHJiYfsorS3o0PaN6BQil2ZVx541RA5qt0dSJMLwcrP++5szgi3QKUESAP+MXLcnUCg2+M77GVhHRFyzaKmImQc3th8kUkkeycF0FsRDMjWOd6vGtgO+11X+fq3d0s0jHaSdHkDLZGVvx9j9evW3sZuY46rXG7WqQaB2TQcvA06YzjT06lHb3EEWHsB/cx2Qfv8QYmPm2sRK7K2MeR+prc39Yat479HhfTG9cITJZRvwI7enhTl/eQ5RhSZgXbmpHPyT2/h6FiQDv0WkJe8KJcdMp05lo/9mfzB4zr858Fst+vlOVrD5UIpctIiHX0tW+CfGlvYkliV1bND2e8vMt3ndjYKeX0xvTLyGK+ztp+mXA9yRQDydMzGfTnEizwx/i96ujisahcA2RejQDEsP7zEuBTJ3lnM5WE86tG+lDaTseAmzZsp/60aX9PUMpZgc/DS1rXuPIISoWLB0cEFgHYX4nVEgwb5jYNilsvcPiuDf9QnoDWTxiG8OdriRIXsyioCXk4+jw4B1txj37XwA35cWf/fL15z6P/C+e2YRYBggGgf0XcTjTGy/Di7uufNwDlZj0Xhv+vZcGjQ9Uuo74IAdUjSWOSPCAhV1OBWmJwh2OaxLi2k4H9KR3cv17xzgKJE2eSU3iOnC7D3a6Q2JpH8Kmgflid8Eyce5bz/Og/puntvffDcltkUVYwzr+dNE+JKH+kYg1h8diJYhucv+/Yn7PdAeISf2dz5flJbtgj8ogFOA5fB0RgBcRfIE++KEmz7b2q8dPcGPe+7oBTSkONp4d3C2OxUmCPbDN7f1WnXSryxl+gNS6djgO8Hvgz5NxV8/c0bC0GNRupi83d+5HtH2JIAjRWgXtPBnOqIbhX2Ie3VvwnaBZ/hfj5JBL3mhPoB909RunKqfv4CtbmeIyyzGJ4i3Dh+Tnez+5sKwsmsT2aOUxaD4TD9Yylzgr5UU8uvohGBs6VW58nQOEjsd+UHstj+Sy1gBw5yK6Ys6Mz84oEkGAnuGa0J1n7u9VfemryXoOPfVu+/mHRw0yGi7/505QFHJHJxkon3Lo62AteF4WPhvLzh7iuvYX0xd7u/s3JhbYOtTw74eIvDXXKhWjP/sPLyZfIOPJsgeWPM3pfmrbpQCJ5Ma4jE865WwBbScfgAzcNA0jPVzKEC/kQhNaYi+2IAOmTUHokAH0EUhDtq9mU2fhvsVuJ6DH8ypwGmVb99AK13lbnZrlPzl6kubb0SEgNE+vdLyUtCHtzpEwGkk4oNumxAfM8ewzVKyAR/YANjB0Dd1+BumiVVHoXeO+LOkny4V0zMPvf5EyUnl8zeHWAPE+NJfh3Og9hWzyTlk8N58jOEzAJfFaTijnKIrfNaQBO1ODsA7wJ8VQreSTUtuLS5fUV9FqgJdveYxic/h5IHuz3k/adM7rhbbJA+3L020ya1mLUdyrPTeOtp+hIEfUzexTE46i+VwBpYCf1/RkNgsnkCNlI/S2V4zc7f5nNd6mN2MsmtlleCL7Qd8xuMJPndpyQXivZvCc3id6fFIpqCnJDzHkEPMNIwFnEKEaH/IwB9k2M6Vq2OJyIOamu9eXc/AxQppnAcYM7Y91K5ease+g/ZoYV9F9bq3s7GxgSG/K+CP17nN0dFlxf+554B5ksoj+GavumyjOmo7FbbPgwM8T0FnRpYHTL1hA4HPanJqpVNTZJ8YxEqu3Tp62NUwJTxQAWbqOxOgIUDDSbZ9cdQxdfAbHachj9nVnOuB13XUcAPe8wqBPp/gL7t6AN9SsAfTiZ8P2/Yc6ePB4Ws5qJuKpS164ANh3ylrw6P1eKTBv2sF2qeJ1Z467HXni5U7fbMgvIKu1DWs2cGRphe0Yb0DH1UpB7ycA7w/OI9N3U+eiLE2WgVs5QdY+cCteWPynUoHE2l0Jrz337vVJ+y78GGlw19u6r1yskeF9o+qn8Y6wDNo4h8ek10N+7/q9s+64Af4rJfzOH3VvH1w15egq3rQGAEFv52j0sJrtqYOMPzK7HPPMfCzrQr5OIvkafrDvnK/JfW/qtByYc/yqlM248lJ9huv0tOtjjb3NJbOKfRyHkPcNT0Dho2pXbOBqB4qAt3k+hYW7MmjZDmu2V253GXwHkSI9zmbbsBXr/Ooey5s8OPI5FXkdWQ/Trutd3DlmDu/NeEsc5IwLcK11CpWDnqjunyArwLHAnZpfG6BbmYGgyq4qQuPacjBt2qTn3Nrwvdnbv3pr5/UHJn1dgS6jB5tBVqrBbYjd+zqQUXeUQ39NV2V6eFySzvwkJFtzos2OTL9cOG5R6htkL7kqy9q1tqgJWkFewaYhh+BLlkk/+aagU+6mt6qwEJuo5lTh/IjR2Y2SXNXwacNuneobTPbQr2dAmYLQQqMkkGtugXt551DD2L7fqkcIvNh2gB7fkm+t8E/zOeohc/hvWLlW40Q49bNZrvtjvZ8AH1pGQYDrVTVT9P7mIfZfz0IV9PHADSuZWaSVb2Cd6esspf7qsM4Fz2QwjzC3vFhf+xo7ONqsM18k9dZ5VcVzTIFnw0c+KhDtaYhxMzI5K7MT7ISUffJwG05V0gtadE7pEdSFG1MNWgrCnrI9HfLtyxde5de5i7vk07G/oTHCWLCknNneukvH7Q+7Bs8pkIGasVRxsE6BtCTHRLgb36U09/TKDG6dz1YoEkLlatVUiGmA8T5K/iSKgNmKG0c5FFSEbfNKkreZAG+lU8Vscq/enPF25vQv7NBbRZ9WWczWzhGoHuYfbSmijrTE5s6alsnQCl3Zqkj6KGocRN5YvDGLXKrQtCto5ndQXZgiwX4U9CdJIH9g5Sdbf54QydRZXJmLX06i60FGmLhSI3Y1vA1OMpRcspp8iBC7yprutfR9qOykw287nTu/CofyTVF+FKzrYSYsEu5vwEuvlNHgw+ay6bI/vrBwl7qm3yuqJUgEn7aavduqmP/1zekjXOR5NjhLS0+r8C1KeyIFjhjlbvtIy2S9WhtPB4RzDiyTR+ERk+WoNpJhxb4LLNP6G+umc47VaZ2f6Xr5yNzPGDV6YfbCTCRHqWZxyXkT+YoMEJfA49dTR4pC/we4mt3RjrMLJsyTnrY25j26JgVyFNUesBqT+UsrbL0qw6xYmtylNa7yyJzHwxaZLcdUvvrrrq2yuMWwZqzEpBRdftNCfoBXveHB8ytVrDDIH2KWL6RYX4CK8bAaUkeowOOpuuJ/9tkXB5Vl3ov3ysGPZt592dm2yn4K6zb8uhk96r79ywLsgPdP4LmdkXIv5iYkyZECbGxD35l4izxckb8k0gCFXo/ZZFQM4OvXkMXg3bGDjwZkb5iSn9wCeyn35q3NxXiZ7kyT+k2k+OXqTHNc8vLf2dh0tDN8+3MC/BBtDV9XgIaeaD8sHWmMgXmuBG3XFKxSG5twaYJU0W5wHvEr7zlPIZ15OpZ7eY3zHBgzsTz/muhzm3z2/evkBAv2Z1F5ve2x23spfB5SICqkuFjanNOo+QttfZWZSoxHGXmw5v+B28iRreGkxcfhs0oJXD7gQftW7ailZqcYgRMGu43iksrHyc3Y3itmPwgFsRAKr9y0/+Y4VANzb3sMckj+KwI4bNGO97LvrKIT6J5Ef3jWff41UPyCMzQKdo/gBJ+JE3ypiBRKZi527XB/vfwWs8K9hgu2nsdcr+x7ESgxjFzpEWEw9xpnhlFC3XlRgh5JxZ+Enfv1Lx/ArUvVZ/8zXiStv+FtT+B7QGv759gA/4J8aQcEJOa78zdKet5bObdEcfeN8P7VYapo0BnE+GBn/y3/Oa0j5/X0szds5I5s1RiehCzEdiAT687xAFih4vheVOWPRjX31jrB+tbavL2SjEhsKME9P5Xw8xZAP4q85tLrGmprIfDCz2DXnBBZw7liJ9ZgSfsgMHZv/0sze+DU/7+yt+4Arcbn/zM9XTIgSNyk1fqzDiN5g7817XSKfBqKyBGaC7erzkDUmSWY/o3lOIG1i5dpaWf8WluBOhJC9ZaK4gHBJGVRyLcv9jmwS3gkj5zgUVSFuIeP99d2ilgdf4AdtukzqxNjSwd7KwCfVv3WqjnFmKq9wCqoSUzPfB4LtcUbAriymC/gX/Btc5An+FIDfb+Zct4IE9qkVaFwAij8iT4jmyccO62m9LUb8WhA6z1xKt+yyj/KJ2FAeesBHx/BesPnGylXXoHfyBOXAqpVUaDT4g6+qMa2xX872sf+nm8N/ejsDdST2q2UB168L3uJ+bh0+7d5LLvCDAmCQkDheelXQg6ELyCtWUi3pu5W5OC6Aj8JE7RAms6uamLQEmY2WEE1P5fzSMVaHIhluuamR7Oc68G8kM18Jiz3CSfPhhY9/9eO6XutAInQuRHWelwh2r5zUxvRwZ7JOaI7G5OZXFWhWoHsb8ADUqV89cz7f9R9W7breJM2/YpsTAZ05shIDA2chBagPYAeQSDwMQmNubo/1L6cd7v3+gxumdnxgaVqq5bqoULsSbjAt04aGnYYyn4wg0e8IpjXaXRb/9ylMJam1kxNW19+F5ZGk2xjObzKbyZfmF3EYHv4i3mo29ynHrgMb8S3lU6MyXOa4b17Um5ObtWG8asKwvtD7XyVOjLBjSUyRv9SBGylfN4NNF8zDrgpXHnpfH0JOF0M3Pyml6NrDA5C8yVtvJwnD2BJmLTgyMVOyc7zy+t95RuS/k4HRpLjc04gWYlY6pxz7qvh/ETGIFPHvCtAY1i5rk1lGTgJ2YSka4Gblfn7b5ZWzOrOsxocmyc3UI7k4PLHo3rQ1z8y4M9n4p2I3s8Ad990IgXMmCg+ZSoYb+UWjt5NL+BQPOUxRzVg07R7Fmzywae4a0CyZOBbjE1muV5m9UQ+4Chq5on13QwM594Wg7ydZed1/xiZf3Swzp+HtwWiT75KBm7UnsyNR1hFRJT//JhepjXjkaw5yNlahOASbl9WUpbglazKzNP9oR6+G7JTkb8TaLMToPS9BF7nTm4taMgHmJeibZUDsdGp/Fo+zAcQwZ9ycDGOcKWdJFuNLYgVnOm9bkS1krzeQDNS8thnuSwVI32gRcI+Afjv5PxBCgJXPqqQYhr0J0QX6dmfXeB6S50lTaHGKJi/JR278IqH05CLb/1k8B2wAQVpQmsKIY9ImUTfl3NDHnF9A/Y7k8p+MPk69aMr1Vo7yh73X/dNiKePriJ2wEa61UFJ9Y7oGl0xr+szEUXMiQRPIufMSRxuJzZiNeUylAF8H4/5qBirU97SRkwOe9IaViHjO13Zk0Q61EsNH/l9oR0WIIjn1aMpE377Fqu+ChGc38B8Qv0Ta7lITfzlFe5E+cZtGS2HGNfYser4J++tspn018sbEszG5xlXD/AljuID27FUrcJ+tf+Wo+Rua9N3vJAnjHoQdBV36fx/d50mjUFc1IH4s3oFylbnIO1dZogdY/03cn6CVhkGjILIW771qk39Rh+Ufdbna/JNxOEAJuBO05efOgfA9/lnKzGzhr2b1HR7UEQW3ngCzaSt9Lci1AERKc4RIO+FsmVO+0m63WQxzghsb9jbAnTwZxlkrF8bnPQ81TxiSvbf2YjeZ3Pw3csvTzMvL3jIdOvqenlD3ZbTig2M8WsCqxQdeobF/7m4OIpRQSwVrfEaa+V2Dxw0djlSszc1bEBdgCMBl2Kb3LYIsn9H9A8f3MDZUyC2kqCfMUb7rZVs6Jsb5mzaa33awMMJUNByZCetwkuMisV26IZ7PJ3BuSauaCTC+6A7RfgEOPkR4CPwsXFlSIJS6oi1f+dOQzwzEJGuwXbX5vTsHTVx3ZJnX8ecf6BFg6foGnNOaZFzMwcqj4bpiFeqRbbybAHjXAMyWJm7gH33VOagDLCTyXUWMV8xrE0jPfKJTbam8lh96SOCuAdAxuanlf4pw7aR8WmjKxJXru8zEO+qy17w3p9l2gH8bntBLOLkvp+qqewduw10wjMkERVoMpqRHFlYXDkfP/HouxmNTw50KjdlV1rAy8R6eA81W1+6sFXgv1mltxAzAgZeAnatRFYMuiZeaSsjdhA+soGv01JAu/nAdrBNXMN0mGBGE6AJV5zwOdnE6BEuo3TFOin5L7FBnsvnfZMQr7JIwTxHzQalbFgCux0ulfRPwt8GuANoqm1PPZrapn514RqlwKfnlByFsK+VAYxxT9Q9up1zuZWDianwcuos7mq7t2c95teSN+sy565UBtgdtODLsgHbmp+znTYPYBtH6A398CrG6nbt98+u666sX7a1xpDkAIP6uIdsYjRh687egR6oKg4Afuy76kIlxMH/rI0xKUbcLveEYrO2MrAbxFgDN1nY+uBdh5pr0zvvgRrZGZ4EMlRXzrTPXcmaeYsgP/q2YB2DdKv3mKwmIgySj5rC5lCgyO8vyvY+KGO+bVZeZH2ZKCa6NOIQ4LeQZclFxGVrlyB2VFbYthblY2+c4if4HN3x5C3uauvoLm/wf8dm0K97hCtxsyLcPknxFe7KUC/RZOZ59TJQd6lICN2M1vG+s4pj9IY5U0/BzXw1WEF7uDtFZ6zVCOX+Xl7xyPYhhsC6+A2DdCUMQ1e9u9s2fS5uFa2NDkfS1Mkz1q0lzRoHtiengw+o1xBO/KdS1Y0g12eiTsVpo65gj186vCjHIjV9LcldbO7AgYS5m6w668Nb2xgUQE88trLk7ITkyNigX5NcmRmmNtvTbi1Tz3Z4IhPpFDXrOc3cy9KzMxdsVlL29c51aYn6Sdd+Qbo5n5wJCuB105B6IDNz/kANOaip+nr+jqrNLPpgWscMAsH9PiV2e93WrR+3qMg79qHEAplLEGmPho7xFb663HS05o6m/VgupoMpZ06DPzp15UC97BIdiV8Pu7agvdcgw566ZRHSlFRFgzWZHqjnX8pKepz933FPX/IHnR6ON+4sM/mLCsNLbcedXA09WQceDVIurQgR6LVGzDIMY8TeXAvj6MgGgsOOgZd1Pqq1zM+g5eg+cv9is8pQ4HQ2aNe8Y1EcoRn7Rpgy2qUGR4s08H3LvPtIIaNDXHhQk0Pm54Emdt7TGfXg/N1B/+Tge4DmzZ1FPrDsOv/ngv2gn+QJr/aCR0a8L0c/W+ISwcV2pEU8PVt0G4jwSkCTcIJ7GXbqxDPq0j5vJjIkau4QaC13ITXHELd2F5rC/uwjyxi+8BOrzyi2x32dY57G+x8e6PC/qmR4Si5Az47K8TNPIRZdEkndAucG3rpiv6v3rJ7By2hr8rmHjDTB7f5pXSTRPUqx11iehmbM6ZXb7GkiZmTWUm8twnw1uI2+mJmNf0w0HLqOQ9i9I1eN9OSQevLb97Dd3AnTFfV1sBQOEiXfAA/IdSc9vKzZnZJP7ZZ3l/gPatDVvzlOn6fPoBXbB9BLDG1PR3oqlKyrXc6//Mkh787tk9F208+9PYRYnDjKnP2tuLn3JcUO2mAyzrqVyG0I4Ylb2I/2lv4nPU7b2+3BRF/572h8XGpI/PUISF11cAGSUmkgSOmXcNAOwJjQjw7gy7PwX4TaZl6wNbMkb81kZbcUh+Z23ZKbOPKQaY3+cexkFU6cviOJkc3+etze+p2ntKYgQ2uja0Dwv3w91yGXa75mjm00GXebwVodtw4pteVvygzO8eaZjMLDmz+O+veVxoQO+cQ9Fz/o+wahwXqmgtYa/ZXy3kGH7gDvuIVVRde+Gm1kjfwtT959zt7bMXW9o302gImtU6UuMCWT97xJXPUDvaFrsfMxQNbVTi1MsA8B7Rpwrllo95UPQMvsbz6SKfAZAEd8Hik+gCcdwceMSfx36nTLrXF7txCi4zNPYM+iEhjGsDPmFnFTL0BlzqmHgBs/cwsPGQ2Af2efDbx15KPxAN+bE9h8oopA0fJA8dkrQMVQdztmsF6AL+DZvcS0AS8iRTgNeHgXyjrEYH3APtEAWdqsFGVQcxYyyEp9+7vWRkTEf4Az1SUQwPg0lbcefWQnD+Io62chY9Glw+G2pEMaCMtNZdcBrUtacMlpRSsx1nOmZ3wSuuIhDN4HpSZ+XmwfsXBbuwUuL5i8kMy5pw0+WDMO6RowqZH5v8+K6gsbeZwfSuGP1jID41RBcCGoOMO4K9bFYG9WBrL1Z+yAr7zyhaTZ8N6CYJF5YxDpAtMs7rMaTR6azoZZuN0O+bzNwO/d8y3r7nSd9BLP6YOtNThUo/Jg67MyvuHmYkO/CDH3GqfDfIP2TB/Nl3pyYJgHrzbzJovop965pTX3OpNbffhGCabvPPNXX1A7a8HsUIv75sXR4WYyh0GGwRmvbM4scuh1YzZFXaTuxrhnQy7jenpw4aprQfv0/AN679cQXtL6PIK8cAthfWgcXiX5vyIog0flsspbC80+GXRv3MAfp5NNbCZufwB2sov192VnrfewZpN76gIdGxk/IHpVdUAPyvdhsBymtvyh2idpxHeHVE7gW0GTSjvvMeg4yCuxsmCY276FL36irTEJc96RX5ta8xRtoCPMhWrtzrEHrDsGx04sAzo6QJ1LLSn2gWf6Ca0DmVYu9rUElc5YFFtahvGd4vF2K5HblXhvw0p2lvZyZc/dInAjEUTahAeGoa/iSb7hqFFjDzJTayNtN08Z3OedwNd+TwV5EL016a2vFEV0scdNnNPQyG2GPTtPbMnF5DmrdT8jQgySbF5zUEAHaLQEel0D9wO3EpPYWN6TKRmpgN3EIN9ZotiujPXR6kFhCa8e2Z6M0c4gljkH0zeqM3PsAYot3gAbDLJfveoUBJlnd5BjH6xaCdCOzyG84VzX5t+oiUlO8rTBfwS7EP7E342TWM/qGyf1xEilatK2BcYbN07MV7gfmppnMTHWKJT0caw6zdVRHrQMYI4yFdF+9JfyYlrq9bM4pH2pAB+EttU6N1GRqDnCuAlNykII7s8aBNu/XOAuZYmut15Bz5sSLIq9KK0B7YaewfeqVO7yTe1JnfvyKqJyrsskj+2ge//IJF1L4cJ4q+qTJU3sLXGIRhLkHhHMQkSph7wzJt0TB4Wymm3u0t4eD6Ud1E09725gQnlkQa6oBEKm2FjYXOe3/kmF+Vlh+UeYpKycAvxsSR2uh6e/67HQrm0N7NL7Dk9zx58gmNy2FNuanpBu67tz2HltFmlYJY5E0YAazwHngT/Y3dH/rUe7Ox5+GW89qXNbYH8HxF5z9M4MVMrX5s+GGtzBWYCLY2mygadOmzPNfj5etCripIjZ15HCnZvTI6x4wEbPOxTZO7eQf9Rohnij7IDpRJz8ztf+aK2mVfQWHNZDttQmnlS1PT9I5+KtynssXPatY48b3e1fr/yqFmrjnjM3l2Boa5ynB7NqA4q5usp9CbVkTcxSucYaEeO8grcUlIneeW0T8zkLcKfqRF3Vaie5t4l77WnzrMN2jmTbOdkQu7kYOYjm/4lnCpxgzVHUT4ks2KP595CF+NLwYeHwGN2M/QuaOpesTZu1vZ1r2dXHEvwmUkNPqnu1Q33yQJKEPzC9KFAP4EGilLtf1YRGjkjoAtCG/YWSgfdCmCtHKFUiNQ6FfiNhDfgBj8qx+SmxOwRpC3u4j87rGkLCha5JypBu+mycrZvIm53lC2hGrZTBfolG9QRWLGqI3XJRDvQTueNq4fyPIOeSDbE+fIghvh5uHjHGHfUzCZgS6lAvJMhfe2vgY4JM7OQszW0JcOwdksE/u47s3bX/XObm171wsxbprg4gfaoLXIGLffTFOR24qanCbw7tph+bnRvJUUzeP5/NSfkmQpeGbt+xS8OmgG48Ihj0Nur6X9t33Lq58DjpOQ72NszMAP8K0+SJrQd8NOYjdMgwxDseRIVRd+gf03dAmsi2y5tct1b5MKjqYe9IJv+r5bTI0IROba7umhlSXd32mHDiyyluif2xfjmK3X0KBjmJ9T6JZNERSrncVsAiCTEkr6Z3SRDlWdsKzOGpYrTu3ITzLrkQ/BX3+/bI+/kJ6c+rAui5aood6fuNO4cFZLFTE9qOt4L4VWgN+81mwJuTz+iQzcBmiEbdQd8lld2EhOG9zhKNmrYPIBFz2wNPRm24kjbV/4GapzFPkbAcw6/iZ6Ye9SiKaYP0emoLti1Ar+Y9zP889ikwW6TjxgJpKNyJRCT5aQ4qMkwtbHI7qaunTOUmxxJgXDHQaOBbb/ON+ZcT+jEsKcKkoIuT5tAzbXLRbkmEGPb595FeRp+Lczl1yNPvVOYXlPTwQChpxp90TC9nHrTTwwVtc2nI+Jz6WTXkk15yrZHTv96EVzrkF9OfOfk1s4Tg7mvZc+TCB9ESFGJJQaWyplYokyEV+xq2K16bfreolptKtSiXGwP3Mz94cpKw3JpBtAoFnx+ob+bTpUKmO6VO4et3fPgNo+q55/wc7l0Gy8Vnl9RP0lBS+IwIfB9YL8jycDTMtaaXB7QIOhe9coxd/85x6vQ8lOF893kn51GHlDHDmBfpqA7XrmpfgMqiI0qbaIG/PLWIs+tmfd9BWYCPcnP9cqfKS3d08cWNG475ah8UvBLFSVIdfzCCu7THgkz7zgbCDP2kHJdVGxGJ+Szsm9ePsqCOOo0QQb8gHVWtLkAXgJNv2LQSdXq7wE2Hdnbn5n9dQfGsGAfjanrQxTwgRPRAHbLYP+Z3oA7bhPdaAm0Dt9jJNdStJeMza9crDVn/R1bc5Y5aM8R2gE7mNp7vLfs+fQ7t4ZUFexjtvpdHc1r5YDthhL2tTk3RpxBDE/XcAP/79AgBeukLAr833S6Yx/bneiXvzMi2bWfKbAe8A+HNX00PRpr+rUyU0Ho8D0wfkjD7RF01ZA7wAZ9uwHfl54iHgK7atNDUOmvK3cvEPPw5bDuTC40MNd8OGk+gGb8O9M7RuhWisnCsbzSPvW40z7l8/aUkWLwTpc8RqW5d2UB+VaDKtJoMnXD91p4M6XJ8zTICxXoTQTlAiw7p7ot2ZBUsGc72pEZ268ekrBeNvKYgyLG1SfoT9BC/5zGMCFSVT7q8ST0JrV0cIyBw5hcGjZfQGc8gLk6EatjXvRONmwXAkxQa54C0/VHc+7ZI6sxuSXjX15Kqaz+Cv7ncIzfPVizT9b5KXdmpvjOkjZKSqtfySrvzJmPOUv2ZmY4sctHXrTAVCTECDiBbdfc5RXrcdpQOTHr8iyFDX4Dl6LfvWLKIUeml4I8ZOYswjY9BxtPRLZFwHemtv8G/0Bs6BeIIXnD/lnKSkZi8TM3c1J5ewDdeQU/emlYsiruc5OLAGsiQYtcc1hX7nivfikOtUNXmZ6YptbX/bUhBKyR1QPPwG77k5iuxyCheEg3zMz77mf4BWhDXb4p13dH9NuBO3jfuJc7C94fKcQWsKMSBy2ghQ8KM/k7g927kwatccOWdsGnp0fGo9pKwV/zT0VLm5o5tc85IH25YKfxqOMxqX0zD8I9de+PCj4T9pSdPrc/MkSml3tyDCdehXzMTL6v8/W6J/qpB/YAHfM80n7DQiBRd9qcotYpXb4jVuaamt3yOT85S13G311q+rUabZbP7d71R0VhnU0PUOD08rnNmufW9EF5w2t/3Ttmlht68YbpexyTQjncRbbs3u2Mvj9x0T+U8IA/+//YlLasGjDHA9e5SH541HoVu7h7CyMyzPrE+w03PbV72KkRup4g5srz/DB1Cdj9u+PYHJzMM73xKobPeMWPI9XwuxrrxDw/DaeSB6pgAUelBXo4SHAmpqEeyU4IWLtQ49r6d6fM/gE2m3JNQjmC5+nxA7zV0jiJ6ez9ymkPKvj71EYCfm9Xi9QBfwVP6vtppCbw1xf4nHvVSVkP2wLek1dx2DMF3ksH9HD/tYI/XcV564v43akQv9WRZ9Yip6N6y5j9Ie2/vEqcF0qCve2oi+dKTAUtQO/1poft7gk+pCLWludoOpDnHOWjjDLD79z/EMDJma077HxtjhwvIlxuIHC6PMRErRA7otRJbU34OL3O9K5SZBCTv8w9vpkxdActVsn44lbutK/cy2+fYTPDIh34+TTitBYolS4iSlhXHuoKh62V28mbioGL3OQHdD7YtAd+Wx2BfW+wFn9nepgtFu5kV4p5OKLEqZwpqaLNE8doZtHteerRoRzQBPv8o3RUmefgh9fWBt3+wQo/EgV4h4Kbc7dHFXlD3UmdDuQmOlDvDFhA2K/9tTALpeC3YjMbGHzIo9TkB3jWzEGtTI8wOiyase3F1IjAWvYUOJxb7e4USV6tpm9RS4ELHumg7qQjfk61mef4eQoTU8sqifPi+duz6nsH1nuiLnprNFpx4B/BNwvg9ZxrXmHhRSeEypqyq+TTjAvyLYeNIzlf6p678D0DUBOBmQ3AnPB6FImp+RIiIi7sP5YNPHz5KMYehh02dfhvg20OsZCBf1CHbGiLHGE7/7g9BdcM2+EiY38pLVPriFcZfzks2n7SSGlu3QyzXkDXQkDBwKfTna9JYPpsZfyv7wEoDHSs0bTUTO8zu3+AFjuaPD0sbBcX74+TICuOtg+qSUo0sDuXFjBbLBD6yYW9J67fQpy18Ch7cy5ABog1odrwVS5H3loy+Ks3HxuKyhNPFhZ/eYS+u2zlHovf7yz0vHRMF5PnXLsIKWcWOU2CMv+35CH65tb2Av7+An5DwuebPj626lRa8mYjRmXuMHJG8YVF8pVTITmSlmLmTqQdsYM90SegPVLwg/0Ksex+6tuhBD6pzf0r8xZzJsGHZAFuWZrYP+QuOjRga7SHlyV0C7FwwaEyszYId/0DFX97WZt5FtnafhMHF/Wq73s7dBgl+2bcuSnwuixMPuMSpiN5Qqw1PYVjgsDvgW7lMdgk7a294XSxYOBciM2qhf2CVY+vwGB2KZbvV24PNnPBhpt1EjY5jZfNwbJXajR2L/28kKu0MpP36R8jntZIH42WP42hx/vtR8l0RVe+EvBllYUcFegPNibAfM16ii4QYyf43ehVn3KW3Jdk+GdBzDN90R+1LStgPfiOeIetZa2j3VKOepd12GqQb5GAPYEJQDfLoXZaJpGfGM0BPJ1V0W7l/RSAP3gKilnjzAP7v/i11jQ5gx1yPiwPyb82pn8j17s7t2Z4ppkK5rXNQM6lC3HKRVkToM9qbZ061maGREXApzUxCqRLqmPoHdSqzyZLHN5yT9f39cT56y57Aj58sPCfY3q44t7cZT3uxGF2HicCuOHcxMmRhIrRGDskRj18h5nZGB2jdkqd3/vyQQTJBTSX6bm8a0bSUeDGRmxM7vwTuOsVvyjh7e4YmViDzJzczxrJC/jTFY/qO9eozLjfl8P2mw7ET/sJ4oV9VbH/wUXL5ZB5p573LFBhHfRP3mebrFcd6xR8Bu8pbW+5vrxqHvfSkkeV/3Oxs9mYe8zKhn3PthFwQGvur0uh4tKSs6ldyJlkxPTOLKZ7zlpOdeuVYrtA7MzhXY8ixDfY8898DG3QuJtMWA4w519v53olbSMenhr5CMy+aag6nrqvtSr4g7q7lQ5bYHaMmOllPk5r404Jg/2zt7MnvLcURzjLg6RKI7Jn2s/UYKOyJxWNL8thbQ8QQ1/P9VFzv2C8/TzmNxeD9pYc99Rps2pQC+2/zDt6g3eRCdOHdeV6b0+hiPlbY/fAD0rCLvsE3XA5hsAjQiIWT0ar8NJO1ibgZd2lr/rKaxq3mIdtmFJ5M/WUqjDzXfBPZZf31E7y1Jkw4cj0t/9WNhdmJkY9aE+AXznS3VX2002OUuM1XfM4e1a6MXMTVyyIrm125yN+3d3gOlQHysvrSajNMbJTDrpN2ZMEjuqxAA4rcMki28wgkcABTtWVT2Agm9npQi28MpOvCwQmeh2Dj95RiLuC+8CjpsdEAj+hX/M4Km7/9q7SLPi6mnmypcBPFRBas4lntB2BKVvQnvsmYtZJv1+bcdpg0f7IfJulzm4hzr+Fx+/WMdZtZbdlOiB90tKDvSSr+H3T9OrF834ebrzGSjagBb45U5/KJkEzJAfl8oQNXws8a0vG0BJ6yghqzB4195VvEvxGanIBGS+AEwjXX09YuxD2dEpj/8GsHrT2Y1M//+anFEqUtnSMPk+WGli0Ru2UaW2TsaU0QEUTzZ+nQAJFK9MrPhcDKmoz6zCyFlaghaJpr1AIa4A+JdfPUyFlHrWkGeYHd8KF9eh1n/Kgw5SB7vZJNG1I1H4rt70Rqirwh7kQ3rMGHakc76ehmjXCY03gTylVOg9tj9qY1GFv1nnZu3ykluKNZT2qeLocnttv8Odt2f8x29spIIcs39piID8502digb/M5w/OvEmEbX/iulKFJDWTHhaYAPd+qKBxU7acS+B4LuQx70z97+SQaCG1tfyADzxnzjbJbXXG/favfpmI3cqG7U/FknPZJzfwUT+gq2J2njuTUwKcvDO5iMA1Pzg3d7ZtxPTU/s2RXlFrziZOA2fmHkUZPQz+rhqRqct9E7165emh5td29a1y7Cu8fzO/EpvZjlygCwY2x6wl2ZA80o45TYxNP3OU8cxJC7CE1Zw9t6KODT/iCdvTd/OxtVnfmzvEPfuNi+h/tbdzJnSSNz35qfnFkSJ0IXan4KsMa4Itqgx0PE5Dz2f/zUl1WE9I6mQL1RDXQHPWUeKXFvCrM3GIgR3471AA7wkz06q3n+XQ8hezVZRvGGqTfOARY/rDzFNpuPxuOh/sEbtgZ5cUoXMeLaKKeULENjJ9Awk8eorCB2bbK47Uowm9MhMJV3Zmge/JGbwe1oOuXsmLo0JK0U6t/i5H6EGFPdWm9tz0LzLcNCaHVCehtPlHXpCH7JcKbL6sA+7w880hYqmqAld57Kem/gC4625yS0iBVsKQZ/KxgYVePupZFjoi3J/2jsn8TAhx2VNGpvYhAQb7eko3aStLb5oxOecDrJOYzOwTNy3IQpA8cgs4jOrhVBCttAqkkxSkaEOwxzZnyR14/lUb2NarycXCQaYRfCaPcos9cNQ84PuY+csW+N2+YrIEnthkwHAV2B/EtRF0/3/1KNGCQTMsx2Kya00eR2E9Sp5kYphsakNcttSLe8FnNsCWFzOfJAB98QNhHJ5rSRpLLr99rJ32njn/7BP9zanxTkxd+CBbZc6VitI9WNKHZ+5PUWNX+W0F3VTUXQKM7A/AJF2Zz6/PsnMBTyMmmtO2BB36SMECKZuYCsmFPLdzXbQOcRadAhdIV20wcEDezwVnODpGuhJFZp1if8AxvnJm73PuL/tVOScaril6f4rh6+V73f1zPsIe3WEB2oR+OfDdDwRiE44kgX8PYF+CLudWbQMfxmZ2pE5BTwIjEpk7JfDwxjoAvx5cWMtud6VWuclH/9jE3GHmjp/+3bVFdVwuDEm3OW+fNSKYdS0mlJzT8zbOIxmDA4+a3tzJ/vZgBZ/6m4PTNr1nznPBd93uKW95ZS0fPOxtYXpKFqRKw+xh8i73Nnn1JNS/Xe+75KaGxAPfBDrNaGJ9A5u9ctOXoedL6vqPSqtJ2argzoT2Vgp6ZtmdRlmCj33Krn+YWR9N/u8uKXJE4F9rcVuBs7NGv+6kZlnyL9j/aj1YKs8579OA/KQoIbVLcFm0R2J5FY7m3/rm0lkuFedHiFK6DtSdMT7Vz+0PxOI9R1OUualFEEbliGQ1WIsI5E8lXrXSt4e0eMd7zHmhRz5ooNXUrV31Az5kkv38e6/KemANK+HgDALO/j2otTP1MnZqT3sxcpNvc8UWv9c94vDdTN+ea2MTkWlp5sK87r90Hc6k4hhiw/wgaOfsLfhcW14V6B/afTmmRgPexQT77EipvyjElxNtHRr+zrp/VCFY7mDmzu5AR5Wbo6lXX/WOd6jjHTDSyF/aoU01uZfObJleWFW+jUg/03xVTy7wd8PaEOLoXK/ZZm/ruYq2EwE6P523WWndTM7MnPJ3mwrwzzFzqZV6GOnu4BJLBP2aR8rN2N8dx6Zxdha2G+/g9haOyOeRLZEAxjnYcpLAXLXDHWxyDtZ2J8EupJUgybBful9rXWgO3L5hgXkm7ogwddMn2EdxcXEnAxb1Gx6p1z2sw0LQGDS7lvZ0KAWv6iLZK8fM8iEeBZAVI3MFTd5yLvfSnuK9tZj+8qCwUnOHnPIYZ6VjLcSywybyjrKY9tixQwY8UQmdARP85c9jdwpPoJUP7nQ0dWKnwduc+imD32WDLuYkQIQa/2SRso4WRkf5nRY+q1zCyufNpusOKFQK5qKBxLAvn/MZ08Y9Mv7NPmafRn/zK0tWaHEKdrZcw5WJWfAR2IKiDJ5Fp4Bie9e/EpR8wt5NZDSZGU5uY9kB7PGeIMN0/EOuwLiwz08U3+CZY1MzxCx7gj1JzLnE65yNw97n9sQr0DRVpGzwe8Bd6Mf0vaMIXYjwCtApoFX0dzNMLF81psUUNSN+0PDyX7+VQMcV6EOy+iGNcJH1xPTJWpsI/9Dwj3uL3Jkj+dx2uW77zGHXpkCZFFsCuprh0HvkPLVqh+xrtmRg4x9m3hHutFQfs6M62BFj8mjiaT4NdgAR8Io/tt3eze6nUO8ZQh4V82teW1aPk0ORqRXlq4jsNzFmNi78mUcL4sLbAN8Bx5auOM9vjesTGaWLitqiybfB4fnPA31r8m+8U0dwxpLvKshc0OfesUgfdSDNvedLE91KxjeV9e9RwV4lon023N9VK85r2j5N3zgaeptjcbGadbdh7pSWrhZk4G09AiMLPBMrmcWwbTFEmco2cw7Bltn0LdfMOn5sN1WPX/kAjwZJ01u5g2fq8ceMK+ffHRiQ1IPXVzYvqyFJ6Hk7sF4FBwu0Wc+/wT8dwS5W8O8Q4x8mD03C93lS8JjABRPswZw5WNIBO1mHXz1MvLQ3s7Zh3R1i1R+3Jbe8MWXzDDo1BG7ApfX1ODJCT2Pq0gKbeV3efzX+PlfczLVTQvQkNechYMe6HuG96ewuOn3DwIzwLl7a4QKsmoHvGUBb7fNBrUrob9N/+Ihgf7joAHpjA5r5UppOTwNCrP+9BxI83Jh5K/scYl0FMUZaaCxBTgA/MnjHh5KDjlvTB9X8xYdX4L7u1LUdM7PAQQuc+G5DQjNfHn8cBQF/Ej4Y6CARtyG3pruI1D2N8eHUlR4b0ZIiHjaanEGTOKa3U+mSRQy2Jm4b5VrvyvH9dTcKwDcdcsdz9rYcaQz6Fn3ZGJk6N2nlrqkXbJxmDA3T+BnES1b4AfAJWCZwtwDGcR5XNZozaGV451DqpIAYCLH63YG9vKutfy87zFTvxdTMx9bK1KvuqSPDSrRZZk9n7Ep8Gv458C4Fs7XpP3397zxK7o7hDbjAX3iAOLZTkxPDaW98w0LSiNzyYfc8xjI6Uf6qa5N53F6rUJdlr90KSZIO893kjJ7Gyd/b/gf4nTQDf1pa3kNSvGssrzjFiZUKDkzaxmW//JjJCzRQT+rcrgL0MMRcUqHympr5StR/xRQiWCLxCijgJFPVEyoK5lawZ1W4eCk3s8plfxrBY4V6U1vbmFuK5Vz/qL53UwH8AUq+GbVWYJWNM1+O+XxRUXatO30Wox+ZHoqvnIpmNTmiEtW2HwMb7OA5fphjXw5mhsyqv48R6Ajw2/WYlClrTY9kB7QHZs+tDbFQ12JK83gCjidhI+YL4Tt4ntuVDFIAow6gvV/1euJU4Ae8xxT8SckclGdmZvHoAzc/Nv/1WTL9gduUDsjBo7oD24ncQQLe00fWqw+MsAMMdjhR/wJ2c+E9DxrdA0/q8hSGVmr95Zgtaig90ZFMDXrORr8tgTsY7CcCnjhdd1fcoU8Ka4zD9oMxYvrduyzkO2pysQDIay3P4POuzG030ty7Mi4yU79mSyJCT5hetC8WLZm67y2ZZgPo5sG2sWg/MfhtRTHY+Q1snty5M4fg/91G/HtkbrMB7ulT6/F45a9B+B4xaA9Yu/kUJk/TA+HIsekdZDFbvd5hiAu0VOZOL+B7WoRPwfFHZZFrY/2zuLPxmBU6UvupRP4VtKPOKVpTi2vTGxwYGIH+eubr11I729TMpVXjzjVzerjT30/dl306z6+4vOCRp3JFVjrcVlFgXK/MTl09ZgwVwNszrFVFhqQyEwjBfwDzq0s+Xu6YYVG6vEzB5rEzA38oq+69iwibK/iBS60TmTmtbsb/u+MArnZNL2PgruQ0qk0VE1B97ys2d+zWdsfj8nqkvl9ZKKlGdTM1MBnjFIcPh5lqO0fbe/dyB3/cpUN2VZw7smt/WCQdUUyXrH/dL9+sTKR3jPzLqUufOZrOoMGW1PQv7poF5PhZFiY3erfQ0AZ/0SKIjXE5Jh+qw28Y+LMaEx+Y6+c3H8lazuBvbRZoH7DZy8bdpv6/mVyeMsMRab+kq8+Y5e0OK3bzAO/SwI9A33qsQHeBLi+OepAwtaiWZd2FzjHfugT0Ao44sA1awQcz4NTjifbeUSy96tCucv7uRve5SA4E3hY5zyW3dq5ycHFYkaDAP42DzIwl15zZVJb3oziZSrFs8tDum5BYjPuhXOUEPmtPabjk8HdTw8ZaYz72DnCFZvarVnqmvJ937PxvAQ50KPCnijTN7GYBrqxMzn8TawnskmBX2TwE3ainG9UI/EF2xQ6mxi8rZ/mEmHgUmvyQTh+kg0yOg5nJIOrAf/UHWJjDZ7bqB3MuKzBQkiJzF70tgHFx7vJz7cjlYIFvdbzvtAf/3eufusMus6Y3YNWpErObMm56K7aNi8amKzfKAg6g2Sa3wCtz/IpfglOpwQ/8lB3ZmZuCdFimusg2YM/ZEWIivI/b6Qz+BWxSdskRYs5nPaBPiGlW8zQ19da9tomPI3hvYhJV75m7U7+2+Cf4o+CE+IsPr8yaKx5OiDlbv2FJR2DN1cfNlk7o8t52eL+Yme7a3JtCrJtzhh8NBx1uyYvgelcFalbOllOEgzo0cxH+PVSUlKxLevjvwcxI/t9nxaaGprZuS9OjN/ChWkWTrEH1QRxbwc7Xytpa+Pfeab6dQnzNC2Qd3NQhg9ow0Zp+Ip1cuZk/v0JMOZSsnVShHzTywCswIKvp5aOe3J16wdoEOO0qO+RVhbJpSPxTb20YAtjVyZupJaWc8DQGTQsaFVN8rSw+1kX/ZK7ua31Z00APHGCyoclwGvhNFsTkonEWkVdeyne2hs6px2+l6YU1SDuz9aMJETuhZHMKeEStFnYN2lfCnquiNT2ywc/bsMvsIjW9VRjWaSx3GdU5+GiRsY35M85Y+qzAX5v8nxcD1CH8qs7fnfqkz22i806a/vEPQX1QH6osR82r4stLXVVKdrEwawMGVndEemkQMOLA9w0w/ylAHdXhmtm9rYaHe4xV1AidGu/68r0KtYtAsjy4CeegMWrWb/Le23GXm31cmTtkYOWuKqY3M2cWm/s7+FnFJowtkNouaMAIlRV6d9MuofUAHou2O9BipueIfdLqdSd1l6h0ZC95HZl+8eQsKPowiUInpFLThZ4F6qzi9IlFejWzt2tm/+QrufJCPkCDu9LmfiPaA44eZvYFfMdJNpbepSsGP+P/AEu8/MYjLXpP9gsw1pSKAX2XOXA2Kz3Vt89q2Gz2KwM9jM4sBk088rJhM06BaJpB6yZQV4jYFyESz8xPxWZWQoTs0tS0dOFdCVwcxat+2cyk9AYat201Egbr3WKbOaLXDDTOmaz8duI+qO42ohHE+0K2MtouREz3alWREp7hzw8mtt+1yJ6ZS7rMkasIYDvbpu+9/Elp+9rLn6DtIxOnSY8PKd3dSyZl7nBTLxqlkTfzonkeA2OnidX0v+dNR3z+Z+aux8dA7xVTm8z27bzncf6xjbCz3cPaeU2/dLDHnkyzv9w5qacnjmSBI1LVwANqUF5uKVo74GddFDEdPoDBYC8kbe1ib29l5v5mUyHywZ3Hk696OYXIlajtSwelFdMB1nxt3K+NjPXAxrb8s/kR0xT2b/Och5QpwQOd8F4WsDc2GHxepeWO9JLkRXvNn/PIQkUyK0Emn07aoQXfMuBaR7DHIt69O3WoFsnxRkSNV4V2iYe/WhhS2Wa+j+lnhK7KRW908Eaivx4lsI2IkyoX81OghGDdEtCOXTVcninzMvAj6OB+uY3Jv45JVQ67ex6CxZ5nsrcVrLEMRW/qW5ZXv2VPUuKYvo7A1cCbfFMW6iYF2McATN/5nJ3nb9Box2MALDckZnZByPiUnkJyzDvsQCz+TgMumeOlKb/YTfd1bWxtm97zDbstKe1fz/Xzn+4gEC/S+8GWA3dUnkee9duXifVeihrQXtkG7PHtmP9z6vV9TV0eqDjzsIVX8FsamC4i8JmnAAfVIPPTx21l/XYBbXk8ONbrs+6gP8acyWPVcVyDnTagt3G/fWsgVu6tZI+dfql7lVcrWmGdRerIMbP5sYoY+IDNIsDHSsFNn9x7RtvvvcMH2UEEDk0NnX4Cx7zOUm7ZqBN4V3Pm8ADiVXEyPfgBSFO3vCumrSNlV9KRj2r8gtjytdKI3dUqv/n4da2AbQ8rkZX9ft27flYPk8nsf5YuCgXSMxna78pFf7xBrCWC55GnGPRcgeL8d+6ir6sxc0CjZDySftlnC/xZKzRawG5X3oULxBdaCjsA/bVhnbIOzjQeA0QxQxBjvScP/H2NtDR7+sXYDdVdNixgDUvJx3DhbsJ4kQTVmNq0t64nRtLGfV/zkd9xLPdMt0x06qcSW9PbE3OaELb6YYr0G8TSCwmATa0kLZk9glbAxwi9znundOCy7ti9HlXyWxsSeVNu7a50DJ0qxKBx9SJC65ojgpUznUW+fUsd1asxdX/PH6jJMcA/pwK1Mm6tjII2H32ffWx/wOfztOtfMeUnHxr7FH7dj/BODq4aRPc7u+IMcfLIwrYr9c7ilmWVTHcUtXEaJDtg/ZupO0vF4pVcvZG+vZdgp6Jrw2PMF4jPwMzTXEf2pYnsV8+ZgDv/vz61sLXk1Dhkaqzkw5xNMkuZ94uAbT6r8d0BniDmDol3/FrF4JdjRImNFqL9Qx3jXR3oY+MsAWi5c249zAzQ13y9pY7VLXMWn486ZKzdA7MfUoGCprjcuS6tytaFiHuP0dYFVrIgHqangNxAR7fSlZiE9ttpwG8U1tX0pDnGU3bqEG6AEWsuqYr71xlsLwq5OaJ2B6z5duT+b/0W6JtP/l/91jfR6HxiGDR6cgctkXCBl2pt+9z0jEc6aGzVgh3Cb01Q7niyYTvP5L4rt7yC3d4EI6/1KnGQxJyhD2W35GC3F+7887D2LYm+rsAebmnyj7iuaksneNBjDjGD94lgDPy+Y5v+SB/cRpfcmSrZ+XvQllFlzi9WoC3X/xaR96qhQyfKq9TmLR+yRdL3tSnkQUVSnCIzO0vpis0ffFC7bOCPepCyNDXjVkJVp98g/od4bH9SsbsqIYdjIG9yMHWfO6eKG9AYBNGIvGqKgZ2/VqlbsED1A0zXEiv1KmE5GcReHP671uO7a7ovVZapv9S4HJarqQcz/RiPDNM8VnvgpRD23ocKvZHrr5XYamFcJtnQeOUwv+JyYLr7mtw8GcmPY+ALzmVmck/APjalmeNSTL99wOFnEGbbj2bVVRUQdrA8n3X6k6yh8ZcXCXpUUN4eQROw0Hvb261lCEr129d6wV66rXLcrQ3os3J4AH/8M/UDFndVRwc0lvbOycXWUc9tlAI1HZm9SEteVSen3MWWfN7upCtXFu1W0FAWjzyv0TrHHB/AZn5UxF59YFZu7tps0DLn+SjZPJVucqOFL3KnFU2RLU0xuSTWGOLfLWWaqPC2OYpkSmP4OS0tNixV5dycerA3oJVs2Dufvzkw4faRRvaNi3+v/Pnl4Hih1F+WYIiLgDgN+GzB/j0xK236sX3C+ze5Me7R3CEyvZF9AnZm7J2/MYpEVeioFLdFOtzNh/kzD8h3ZZNHzommAR9NDeVLp2D2sFi0RWkBO1MDW3a6rEJtm1k1lenZZM3fjU5uoO/HrCeS03dgo5bIaNpkoiW1DYAgSJVZ/Gzq2aXdBhmzh1OMYzN7JBfey89/ZEx/AJvMbJiC0lVnMI4He85B1bXHUz7/GJ7noUTgB551wCA+Tz+njpl5B3egmaRG7+tJkKLpZ3+/EgvHXzaN5Ux628JCTc3/m5tq/d5ZhE3w7pgeS42wWdmD/Y89cLQ/kY85oP12zlECe5NtsMsv8BuHtDNzpNGdMw/zkJt+6BbsVVeZ+mP28MydmIJ1BYJ/5VSYGWrlkZMbGXio7CRgDE2plWRm/gvVfprBbjm42OHx++PgXkzPVqdxksPJ9I4PZ+dgAZMw281o6IgCL6Ape8y+vIPDrFPofQJLveKXzXplA5v9ENGOabR75hHwhDVn5l4Emzr2YfpMbbBnR8H3naYaWEiC7aQgOiuRmD7ijyaA+MczF68Yqw5ZOaznEWytGfoNBq3z0pUpShfsePum823wH+fUnRKZ365HAc8gUMY+/m0gtm0Oq7ZUaD2zkUNc9+P92mr2/Gd6xVI+kIPk8rumiVcKoptOpriH+BXLWIZ/MxcepJOt6CRvII43a/kEO/3OOrw0wvKIo716TcCPLV0a66UEm02jLSbIzMHle5ZvRxrgWI2gmCLgjxUHggNXBhhiiodOI/aq8W8+LP+tJ4mnSAJbVBD3a7Y8jwXwBVdh40zBqUhK4PqQrhKYIFzKfiKsn0I6WGvTs+spUhfTS1b1cjETsIjoV9GrsrKmS+nKEljrxfPAk+Ud9JibO+gbOChOOcSHj+01tX1gvwT0sp5VUF7LlYP+TtcUJSbd15HcR/WwgTXDkjskYoZJ+yXKXCB85H/XbGty920q2pfNG/2H0ggd83BbwpodSAGfFWXANjo7hqbvv0oa2Psk3H4fkUQ8n1k1aJH3kjXj+7PsdZ9SbGZBfoAeAw0sN7LwlybSpBY2sC16vcNZDMvlt0atawcytnkFjEEYPzCOA+agz//ubuaPNNAV+MmeIv/jxMCv9ZxT29/IMHtk/YRhL19pMe1U+Fhxb085l5JHKdjX9pXf66W2fqQc070FMdLkvWhN4Q2F2MEZG/m1NrkSJh+a8gR4V4CP1XhAP3nHn9jy3srV37D4cmcfcyZX4ihTrwDfG/4/6Fi/B9Yjrzv6I9uGaZQteYwX+J5v9aA/m2FxQY+ytFdIFPxSMoIgNtrAuhn8DKl5sgPffi+dzXJil41C6Jv06Em65l7H4bVatVFyGvyAW7Lkr69+NmyTGnRBiiT4T23uko7ALLC+GJh3Y8nfO1B7yIOW5G7SZozfq2imeZ+AImznjM2POprfgD0+TN8lJeyFgdSFyApxtY33zvLay580ChczB5maXtwR+gbm/jnSxku1alUQ3o8F8BTYbi2UEEAX4Kc3jGH7FCS8YcpqQvDPhfrhLsnL87bF1P9MhWWf+sdVnbc65e3Hn99Y/Y67fteMmIFOLtNemvOf7NSbfAK+l+BrOKCa6a0HMQEYXSOOZJFZctfYyVvtSh90s8eHpQV9NGCnxfDzsJbIkdbv/cMrj2iRY/kALswhxmcV8HhdTFXpck25+qGW5cK79ZoufB5WbNNVvalo55Jw8hRvSwlseXDMd5zfSJfA/+9XiP8ZHss7aNg7LhIqR/bKF71jYDWgxXs1kj0N4N1ZnuRWf2+c3TN1kx/xsb2oQvK9Bb7b9KQcw4eAvZ0W/Hawmcl9PDQoMT1af0D/4DRSdxHKH+AbSkxOS/CaK327Zp00a+OeNJqyzv+9p6jWL9OvR5RF66ZFMpnvBu/agZj9AM4fmyGxcuAsHiagq00dUUJS0YKvQlaTbycJugyLeWlGX2L3r98XxmPvHGm7S8OkBd/yU1GTw5Y8Zb8lvAdbdzRwO19pjC6lZrATCOxGPDJLE9AarLLIlJ3nQ2Pz3UlMhzSUZ/DBkvWav+5b/vdZOYumKRc4xwPEq4/5pihiytQ/x/IJeyqmsfZEoTo1ygF8yQD6vZRdW6Qi/D1DyEN7hx0C8W2uKldzNgJjARtmGlW5e3Ead3rp5QePFg8z4qdOYp2AfUUkNY7kgYzpVa3Zo3aSxxH8p4hL91S0Fgesp+xhg48YMd1t4BlBo2t9eN5clW9l6nwBD7U/1dje0+c/F5TKq9eijUGfVTbypasewIfUNCzB6OII4B+I/JhEZj6ITGv9fj8GXKa9B4yyuR6czdXkOqcf2+QIm1g6CGHRQowP1wrxBzzbLM9bmRev+bA3Z+/Az2kfHU3PH5a5tAvvFSOz0bQpn6qU7lbYJ4uMMCnHKa3P/0CXNx4OvjYQYxxZTCtm81wP0w/4OY+APz1FE62ttjq4EnSKevH8g/agwW21O43pAnF9U9LezAxcysKHvxsumWNr+H4xNudxVM580Hm6ou8Tb928QwUwCGhYb3+KPAoarFUazSfDjf3yTcfe5eHyv7yv2+Zgv8N6yAJi+kAH2zLvXNrsma+krNnGM/vPzK0jwL5NjG4q4hCPPYAOXZZsu8+sDPyl7KpoAasFHcDkTVBVEUcOBHwYjtBLV2ISvHuVToLMInmzJhAVPAZ63ZIDlznYuwiTGxvsCDg7kJG9yXuUlOKfkwf8SnrLS6O5Ivz9WTu/+cGzcmRWBSVwXXvLncT0LnrlcGqmteGyC2hg2DPtdxVPt1rzKx99BDpjk0fp0gzNHfQ87DXzPNlax/3mpH2wkS2w6HZ3Yi1TekopUqQUiw0ca0Hc0xA3vZr+5W+sVZ89afQF2mj2ZX8Dpbj8x2nhzjr+9pIp73WRvEH0/CCgf6TTWJkLPjpUaQ164RSiY+liYD2dyRjfCfhVFmng3unJeutOXPSayWU1lg4ETY5Vh1NM9Ywje5/ZvAKmfquD1K1iXQjTP67fPurQviiq7HKYzFxQ01/+TYy4Sq2FkjHRpg8wdSdLjGamULrmEZY1Va/zjY0aUq9xPDNHoILlXkQANuhifSyae7nqCGKbmTpzIJysJ0QW0DRLNfq6siWqo0mb/L/9GoLOg5/X/UId8BumBxsnd+VOZu1eWs8x85ub4WH6yM9cT6y0ZCAD3KWW2W/kTLtyU4sUeGnjUYrXfLAZ6Ian6PyHGqZNU7RpA3u5YtschzPhbuvnZrZvjxysIdYN4V8vUwqqSz63T8EWq+LSzQbPP4Lehv24Z2wGzTJJeKff9TDH0tp+MGF6VU65DIm583k7OMQF/Xpn2v9QjjezOKGnQPewj468bx/Z//W4AxsCVip8X7DEzIVBzbAdQbt/V8KeGPj3dERL7oANU/yZdkgDoT8ZKt1G42fm8B95nsM8TkyNTL+3FmD0ZCBRaWM9feJOP/8/ps61S1Hca/tfiYPUal82QkCU2IQcIO+AuAohIKWUIp/+2an5W/ezZvWa6aluhRz2/l3JPgB+vXsU3uHzU8WWQBbAiLTflFbjMWse0pB/cIb8HH4xm+eZlv+IVhVGzSL69iCRvNQUPagVWiTem/yRn/s1FcgPU5f74LSZ7ElK3Ow9hl+wV6t81Zdm2MM+In4VAEixzU31yjkx8xlTmgKrqpg96Zo9uIl/5z4HRr1hJHfApG4q+HwAPgBde6qj7aDi6ZmbmnBj8jhT9NYpzjkmwPitV2vcN4O8nGO/SJ2t5q/ZJvl8pZcZrFcbUW3ilTACD3GtQh7gcPk6j7JIo419EkmlItmmtgKGk6c08ANguAQP86Vy5fscwKpeW3ECOydGVZ77zabpzclw9iKD2ceIKJYcMw7rwyH3rED7c/h8MbGgsvPBlm+Aw5BggmAuWh+e4QQ894+s+qsZGdAQGshl+/bLp3OxX8w6OodbQhmewL4npj2xyZ+X0RaxmGwq9umCtrTMPQNwsF+H4TOPUcpf202quQssvgP/cW0YejbaJ2rFVQXPX2ngb9d/91E157P657zJucMYf5qY3PUMfHoW3g386xe2fUu5ze1/df8c+My+zucPuZsvp2i6mfhqEenbcfV93ofeuQthzSZFA0pfdo0H9uWtzVcaLR91T+4nYWL4ubkrrVQ4fZ9jPjQRgQGahrz3Fra2WHToCr7M9HkacEASyv3Y1FvG0aJN73e+8hI04YvFEvRge6M9jIGFkrfdSPvrU8Kyzin/x6P742g6SMdXU/ty5dZi0cjkZW8/sPHLdO/WzLtxW5m+vWm+7t1TkHzTfqnSUTnnYZszJ4nLkWQcNEIJYyFH8ub5noInoYJbTH+aGgjshCZOIuUBO2cSmD51rxZGus/ZXNYDMOCQWadoeycBN/3HHtTUEuGfLhe84L1NU+vqqRA03rAH5vTtw+v+u78w2DaG/oI+9T/OAXuQkWPeLw/BP+182HrVwLOjdd8AU0YVTzY5wifR4UvtokwIHYDWZdRKcKPJjjLLcI2JPXrgfmtXI7CXkO9acKCj+aVG6MhRImEvHEoBXF0QfRKE5Vpm504HNSpBV3trSU3dlhnmOHXOvak7teDU5gXpyCkblpgVpi5Ucqqpb+66HTaaOHXyP/81X6hFOm7y4MDPHV2iOTAQG6eHFFikGunSRnnW/9ytZVUnHzCHu1TcHfA9LbGe8L3tRq7YPbjXjanJisVmlUWyk4F/YIV8qNF/xzoeSso5cfb2KVomhdpXE5IUc1jrnWzNOSVj0j4PiZ2GEzuCDcZCLtKZcTnIDK+J9XNv0U8f1dr+y0PwlbCHiYnrAlZUIbPz3fyO/b6cB3Qr+8TH1pxUpp4IRxPY2iUX232DwDaMfl/Tv0+Yp+uZ65lbchaF74kR0Xqw7IPDq7pjYOOAW6z9T4/XJrqux7XNsqK5iVjrt9ZrKDEd4xdsNMKQUNjnlYx0de54ZnoDKHF/0RC4RSwUtI6pmXaXop0aNu3ScJmInh4KpS/O8engTObO3s1D/a3Ab8pVgx3i7/ND4DNteivOZCQzjK/p9WqLIb0dLH1rrGU1epzH5j7+j6eYffovP3nOYU4+KPVN/IOpidxhwR6iwN8C/IoM2yod5g6DzyHOn3dMha56OyqdLc+sVqcFaVnIcd0RF97lKgSJ8ljRKtK07PlRjdgFvb6hVPo55yFHoYtd3+gSU8xkx9ikiRW6DVWDAldLoj8uBfv5PgfIe/sBvvEmV5+DHr4SsSVs6MF3a0mcfjV9IRqED8ryEuBU0FxzebDUpeo0ZR0ZKkdR0xelKfwgNXqyw8Qwb96rEIcT+FvvzQDVGbWbdCDPUugBfPxYW3vQemrlPTqeBXnVQl7zAOwH2+pznDzPTB5gvdlp3yZgXZ2y43YTyS8SLi+lPz3SKQFK0q670qv7+5pe5jcDgJ5q1xNNnsr99Jrd3eWmP56FTE8fYAd1kx0Hmyy/yW4uG2vys47cgNO/TkVyKgX4Im3ipNAxE6CdO/WdujKAOQdSURPXOsjF5n0XoEnc3yqxBU6cTE8ZGxjKrfq5rSO5KI6qkvqPXCcU+HIPevyIw+YhomWTdeULODYv7dbj/bykMEOVi+7Zinel81wYb5PMRaaH6/s8ilRCP5hjB3m4wHfoHqMENWwbEo3K2sYbRttVDt4mo6AXV/JFrczLOvjuLr1VhbpkAwH9AW9qc8nsv6+KXV/csR6NndA82oJvxu/7ZQlzHFRhsyHc1IRQXgraO6ckPTjbF/BGTwucZ6JlrJM7xXlCBrLnGuW52zwJa4N8bDzQX/vG5DeKNj6uKEnR303uyJD1+2fGvDdj73GosmZQuWFzGqebdP05s/boiHfK9THTaJ/CSsmpZKDlLkebWOA9jiaOSsYK2FaiUoMjstExZxp82PwPI24p209IIXOp/759ypWzJWtivuOh6fO1f6ZMJlnf25mjLtRGSDr6AcyyY324IcC/ONQO0TInOjF3SgjmxMTcHjlHsYnJMn3jTS4p41jz8GqR39iDOSBgF0QR3nIb1nsB1h20XKrbQITYKV1JYM6cDDgvB0ZtrNJNabamQ7aWY7uQnpj6CLoe+cXkZYBd+SIU52pEXMSgQ3qw34N+x36vrMDHytkCq/H7wf2Eda6dvPM1C1ubO9MX2MUJj1KmhXyJQPk0VJqOqM3d6SmDJE97+aCsfKTAxLnpJ3y5P+qu/c4NMQGQgQB8n298k2jKVadgP7XZ0Q0d6lytOggfaYHlEfgp+y9mMwfe701PUgx8f3DDTc2mSVD5Ao0J+wRT0VsvafLEBTf1yW9nYexiEjWFeutKnsZ4rse9qcmBql4JioB1LODdAWuBYMx/etqhjppakb008adfaYFOjeDfpTXtYIx92EMYm/yh8fOhGB/kiF9poGEd/mjid03dfyfa26Y/Kmh4YWIegFn2JVclcKNzhNVE89kR0ebGAtMwSu1PIluo3X6f2QT6mQzgd/KGZg/Ql4+Dy55E46sc2xMr0K2x1VH15M3YN1gvramb0ZhefZScGOyrBvwORdwzdQQabuomJ1WzJrwRtsRh8qoKfVO8BC3pUxOLULrTTiHMzwOw6SBpau6sHAxaS1t8lO/43g0P/t7OhV5B96ew8UVFk686VP05ejql2M6ZPc25i0uj79T41wGGGVU/baoYLK/rvyrRPvhPrTvcleM0EGs2eZVrs9tO1NQIcqfxfX7Y9PjK4ZnqwPRc3lgV7Brm6ML0RKh7/KzoX/cAtgdHajquWojB2lSjOpp8s8ruPdB75cFBK3Dfi/3UoZtgDeH2vLubuurH2lne/SutClY2PEuIo8nEZHuC8V0Fdv0cA9NTPsB7RFzIL0l7F7N2gx1kpX3j8iJ78o6E8OwjYclGmp7rYvuvcsJXNaQwhotzNn1E3Os7D3HPwtA7Wu1Cwbf/xGA60uQrLyXX300g52YwvY0SKcLSrgWaG+A0qac076esDtpvNZjcT++JB27XJqaD+xfYL/9qnhxMXXIG9vvtU+A9o2qcTsBzrwr4nPfqQ4Tei8d6anrQhUyPgiMgcaJLZzryAK1k1BsaY5ux5dpw+Fxrv+bx1NIudblFLmTYFnXPNyWbgfKm35jbjGNWrRwYJXuegGGAwcNzgcEmYRfYpqTx32fmYKzcnxoYvamBk4YevHZicjC/T4GyWTRVTcRZ2aFDGs0zjjWBNSBgH4BG9t51RfaVbtMm7peU752fmLFeRbUFNnX0HyX/60ons09UuaT4fNWF39YFxmfWWibHBSwgJmuyCEbmzFmq2lFPw6kUJRNozS94pg2O5Xsv63rgiwTtoIAjsenjw+aIMDwSR0fSUQcVIm7iGZmzh3WGgzPDc3aZ9bnnh4z6voqzDUf8miKic5P3Gycu+BPw0v5OhtkGtP/7DHZ3cJ5uw8DfjtpuOrTLOHlxrTw1JIOMkIW5XoHJNeiifyZXrgH/KMVSNgX6wDrZnUPQiZRbR0viBhhYBf4XtdnG9AFksUpyh7/vONg5tO+nEAepibaPidH0thyvz8yV3/wyv8pRonRoK74mqYysV/7anhSSOmUqgrG6ZU5jgYYFksf9uQ+fKmCvvF9kM+DyXDQu7MN3bqDdDNPu6CRhrY3OabwT/zR3oUNWEDd3NDx3uVEByUrNrHpAST40T/AXO8xlyIX6rsBDSpauZacvRGBMuuSAg/aBnRnkmOcp4NVfbT5Obi3uz0pMr0zIthpbabgetHZGi+Tnvl/En8/GLl80QjyP8A14w6KmPiMztahIDKwK4++D3U0oaNRAMW8H83fIYT4btnTv895zTP4B7jo5aEp4/hK+MzjFvkMEs6kz3w9Ws4CCjlQ0W6Lfb9JCOycEugrYX5r4VOtzAUbpZaBwSfV4EqUlAn2AOQHt3cLn/Mb2FKBhf2JcVa/LNJKjjKRhK2CYBH4yU24nYcaNbdxeT6FG4Be8nE8kX9Vy4sDRvB1yUd4qlLQctV+mRkpq6mo6CYExBG5f3vcp5Y8/6qUgHSoZB4UtpOktmps+YCLwZT7Ydu1OJeh/kVqfT1jnHMaQq4gnqYXAMpmeXLbH+uRLciVVrEEL67ECGC6FJ5U1hW9tnrqJl1kw/5x/kX7/Un1o08vcnk3V7DCxwMc/zvHPWaVbB38d1s+XbJRWxjOXhckR92xjTsZ5oD/SIJlBl6xlr76AAQtTSRi002/vYBxPHbFUCvpvXweyP3d4Xw1gM2n5qGJ9I/k2SFd2M3X8U2AT7HzapobI8QVawJU/ZynMaTagu7/waxuxyxaevd+IXo+kR1ei299cM9gvoyoY6C2+AZv4YAh/M9AJoC954+BMxAh8W+gerPbWgPZNBf4u+62bCrtjRVty6/PRwDOUfAJX638cXbXjEQEOzF6n3ZYBO77rHszn3iPNKO3G2mzwqCz4c4c0/vuohswF3xhKIbO6SwZQjq90/bTS159NvZs/xOBNwKIl/I37iZNvyfEO9EYLc/tPWcw7vrbXJv9zA+n/vnf4iRtR2ofpxR9n0yOskF0zePKsmQ1aKGbhMpwE2glx37BB/6vj0oE/s8lH4iqKjmzl3QF4qhyzFxZtwfR0UcHeNvEyWJCKjm+7Mcf5mDDF5EWEdgyaKiC83Z1463KeObnrA8PgL4X8ScRAARYx7Qee4FAcmNcIh2QjRv8Lnhf2ANscHGBW+wrMmLRp773EyNbS/e2H+IA9dcDMewjd9oJPJejOlwDtV2mEmIWPwPd9OsD3Of0LA+unaG+llvLxoB7nCEkR7Z+lqZ/7+vP4iV+Np4I6HjoFyGbWlLFh+1t/HjzcehZ2VQXtVFJ8MT2MU4oFaMSTtMAPdWpuQKM1cfNQEczZ5Q7vu1/PCJ7rNcO61XdY4x4VEuY06WSxd4E9nrTwcR7oMlvbt0/5qX2ZFcAPlNxKDbyCgAJA55zDeZ/bOCcjLgUiTmrqm7otAh91EiMxNZC6tLjeQK9apYmZjbWuhu0x621GKHePjtxgm5xI/84bna8ChQ5Hjaf6ZdOs+FKD/0qLcIH/fuWm37mxnAPJ5Gh6S2kX7PuhMrHr4u42JmaPkn0dbXPcpy4R7c6whLQW8OMokq/5u8rnd4+MFvyGls5yYlodpZOkZJBTHW4fMtKZes0n6aqjiJmTh2BdQfNgsA+H17ZSUWIdXvOHHK4W+ChzzxSQIjkaVqnEnMCvNlu1I7r3PRHsrwFtZMTBBhD4b5JXMMf58HRBRHDVy4/U8l6pYxfngMfA/GFt6gRwWJEUsdpOsqrfohpWRFkw78SmA9iEDni2IOJ6A6a4kAK/z4jiGkmXRqkH+kznbNlg14+kO5maz0ha9lEF2lfg/3Pbn4BDuKnxDH5Ui3D2G62tKvw08TIbEW0fTdjYYtgOJFx+YhpJTO6iX96M7eEY++DnEGNzkAuVg9b1a5vblZUsjcYLFdsiE3OZm3h/BnYkbsAvYAoeyz7z9intbCViPoDf8Q8OpvC8i2Jbn/Zq17DNo7J+7+inSng7POqRMcvKeTLAejd5bw91+XMz93u5tQ2zsXkAC+qMgR50VAa27JYDF5pMAJiTjXLIq6HtS8STS+NEYEvFlY1esDb+Eee3Ruurca4P2usjoRrG8NNt4vaCYxQDwVbHVbmlZduk85M00vKMlHd02+IUozwVUjc/dWJb4Bh7YqsC35eU8DlUBm2QhlOLIwnjLt952SfQTAJ3vCJsBi283LjQQebcH3m4X0pLe3VHZN3pHY73Sw7+Lbf2Dmj/Y82SA3fxVFvzkjtbBLproZbsWKevoMk2gqm+Ab0levKOFdGgS05qzG6NS0CLqhPvwqfQ/teJkWPuXN16bG/wfF3jJmnOvCDvmqUZPpdzuABx7G3W21flTJ2J4z1FCrMQdGAEetRqHmyUryr4PRftOYNv6r2ehgljYC9++o/bpemdLUwecYWYI8BG5Rp5ZOQBfJapZ+KCvcWgcfszTZC4mJhTyc5964KexqpPChptZzroE+7n3xqSSoNXjex7JWzb9Ngwd9agg1shthfgGnJ0eArMPwuWLOq/PjYOifj+FPOZB6aWmskX4FrQT4cEZFbR3lQQS4EVd01+t8Hv/eZ/nfj0j2spVNyusLaRdGx65qauN6xuJFuwEasY+L90kNU5+HxIC92BgXVNZZQXbcZdv1CuKumw9Exg0O74BJzjUfAmQKt7ZZN37FxEI8XE2AZ5MREYx7mk5ABaEagOE25iruLQow7eNyGv6DClaYe+Tb1sGctMjabaa+NJyo1/hHGddhgomK7Iyro2P7rYr8LfWveXTIPd74mVOkkMvGv99BLu24kNpi5uO2adtsFHHFOTMy3CVXamJ7FflAyt3EXjiTW3ivr/8pA4QJ3l0ZzHrsnAAt/CDnvUsEL/N1+gr3RGbJxkGiWwNuJsxBfwlaYG/Ov4ujvARvNPjHQPPBrrK9n9cU9B8yCFjo/O7NVuuz9r+SGDpG3YLEnByypaHjLgQ9l7Szro9/mGp4ISxgDFZ2bu15KRW4sAjsCi8x955xMFticb/z7PsNaPjuXJiJi4uDsV2OHRlouO3cBHXzElXhNtY/hzbp1vw9xWCXbuTuXot6+Ed26ccshsvJoKKP2Nx+C3Y7k29v55WFs3X5HJX83AfpuzGxiXvVcHfgC+9EXAJ0u690r76paaF6CZnGpIPlTQgs3gr8baksya37V0wPeQnVxlzqyZ1A4x54/w/jg1fR9z0R54mPBT2LpSt6W09Re2Eo8P6sD79HVGviwZ6XG4vanQc2gxPc7FhHnkneoo2dUhCdOOv+sD+GnYGs/0Kmlim34xwFSF4tdnai2jiDn8XCPacd1QspzE5LPhJz6U5SFucfj5OrpyakJ7A9/rNB055VR9NVab1Zp8mTqGzUreZ+YnHP7ZACt9Nas/YO5/4Mh0UNI77pqcKFhXr/mIwarW0XRNA7VpBjIcrdSW4H+zAmsctqdTZPeE4kqI9AU+w6WsLUiceScqJ9zJ9x1H2gAznqL5O40nEzkL7Jt6qdOiSsg4tZMX2NU8s/CJgtYWwks4g7GB/ZybArE2rA83XU0cNhn0F4xhCr/+NdYSmHpr564daP8b3+ukAr0oJ8Tc0ZBYdXmYOCmIv8zVNqNGr/pW2YOmon+9epB52ZVetiIn7+17Y6uP3HA3+wM889NTUpixhDmXLAIWMzuL/19c5QmRr8w2Z8X6WFnzBe/moIk5+Gc9ZxZohjXzlO0fmAWzCopQ7eaiDsD+DSZOaZY1+PMT7b2js3FNzr50UURHcsSMXCmaeun6v7W4Bdo/Zezvc4d85DphVe9dqji5gi8C/gotoJQdzCCT+R9XcuKYe3TgnqjRSX8OZFwNDJgrsbkDMGcplAm9A42WgP28ShNf13vyzRuCc16FiBCb5MDHVjawGy0+N8zZPlKx0KYnGrS9nzo6yrnvC+qbukVxtpYeprzHHVBev+1hjjYZ217zwbs3gyZ1dH2k9t/HwbLfWq+E+S5pzL/oKEG8Ng/OEaGglam5b4yRJJd5baiP6tjkk5BX5WwxR2pXO+olrRmzFSfm7EQUqhRFC8oVI7KSvQDnDO//1Ti/fZc2hC0vHODdYUVUjpNvzlkObr+A/bVPHLSx3TxknNgpBTveqxj8n4b548BHSR7L4OCif7AeykzgNQ8SN0dJdAo9sNnh64RQwTv+ZgD74E6SiPuNOAvoeWW6Jd9OoR1RYChsXZ881rCjkn0DFqjkKDB5DThqi3wAPRq0KY9MvTE7M3XMsCZhad098GMHEt1XYIC9yn/zUxjsJUrEdswLiQSTzmENnQx4PKXsxhzSHe3kCjYqlKMmpoZrPWoGPGubyr64AJ3mLBJsryZi/8rs9oWBqUp7b2J896DMc1Ko9zkb6GoTF6cLQfnCojapTd50lGg2eI/U8Ypq6F8VgrnQyk/HfmWmt2D0ZykHPGQDnoGTX5xiJCPDH/Cpsc5JBLYG2AT2Vobt31o6J9CC5TkuYc7UMx33Jnb4dQ6fK+G98X20GlEvIl1imCXVz2s9JJUUC6rdhADFW+Ww3bOfvpRTD6zhHS2pT4jvmhHDGkWaBPitK4HJ/ElZMmQUebW1LaibWQpGnXLmVRHaMY5tPE6Xqvu7nIH7yl6vtGevamSPZtU76aRr7bSgN5LgYOlQWSiqHTTWLno0pm6RNb/j9Kam8J+mTjS8w1VFWxt0AiGjIqz3QvDrSdbJTPBkPEdt3IjGkfYUVAOK4bkmHJi6LfqquDa5+sM54mBz1E32eJMH5Lsy7PravtmGA9s8YQ4OtTOHObxLLvRGFsgDW9NnDr+TUcvKalk6JLocG6u0tqZPj6ZO6MmCbSTHDPTSVRiu68nAeAt7OumyAlg01OmZ/vZs9cCWe0fbv56B2WTfxqClgQ0tN4W1lvZyBFvyrxSSVa58AiMczsCuoGGOpdVeOfiQpldh3oH2imAu+4mWwEjnOJF86DciwLwR3lvD5qANQNv+8aQ5a7T/bkz9ypRdF+KgODc9F93JSWOSGp3fdM0K/kyroLfxAIDr8LIOmHVCmIOWL8EOeynbBuDvTJxB3oSg7bj+zYctKbMqPplcZRP/dJdR/yp14pxh3EvW2CnnxZn+taq+vNWxqTUjqRjsyylU38c1s/IA2cB7LyABz/AJ6b3MpFyla/vVmDoy9Jd7MaayFbF/P1NUwPgxFpK27Hq3AlqEf3Jz5sdj38WxylnYlgcrmRWa/oleVge794CMQO/q7zPS+0ZPFTB5TC2s0377BJMYwbu93+tL9hOG/X5qQnSh1P/C/Xb5iVMY8TeLvLRBCcq6ZABtDlrSerFBx0xMFyW2ngr3tihKsDOtDTww1XE7CN5+pR0muZ08+ajBGP/mm79Aj1wa0Bq8L9esSHJeTKwJn6+T8CSxEl/CXgUfkBFnxg1FWly2wAdzKJB/yKwEuDYR3JICmMWDcbwCN5YNzGXOZsa1qiqHve1GJ5kdS/25nFgbmnq58Hwf5hxMhNcHDvitZotdoTYvbU1JDL5mTcIM6NrERYueJ42ldoz+vUmHaOxsHmRNHLDR3wdbtcTZ/mvYb96o13Ce1uBLTA0M6vocm/inGM31gHfKRiVo44+yIyQHHa1W/1gx2IM9aEvqnzKOC5O/DPzyTe0WmA24z+Lw+XKutR9K/XcBvfG+o18aR/s/TBb7ixRezGCdM6p7WH9LZbOfeJmzyWV2+bcKTI2t/Vqt7cqpxFjY5n6R5r08NWhaGrdNq5UnYvQH4ArgU/RTF+Gt9bJeE+ya2pCmDhyimWNZSqCdcjht2NVmhQLGUkMTJMcqVpoG7e2skxSera0H22lWjM/9EuCY42rsN1WvP4DbcFb4Jzr6q4qW9c3YWT8Ds4B9XfVXaiUvZc7XQJNwE9c+/Hli0Dw48F0QuF0uZAJcBUxCNmoMN8CaX42buTRQNkcauGbbqbV/nCL5AE3y4uFiNZS/v8vNxTw0vSQZb1sSly4fuM6cpAIP4sA8sbrjm4Zpc++TkUCPedS8YO+GZ/bHPvdzVenSwpftUVrJcIT9xsakaxz1RUwvkVgiUiTp+96BO15l6ogpLgUBg15pUwczXM8x/odpZsle5qDBhpLp76zvN6DPRBP7r2yVpjd0lw+lB++8Af+DSD5bpicAs/lYFtcXaAGXxfrdT8pRQ+pyiirQOQg06Qu0q67GqTz3hNHBq6jlfZzCxMaWumGRTHKwlpJdnUrzCuwsMPeMGPigfLAPpZildGRxcGzBf3LQ7pZ0f2OJNfiCHawZTvuEw3MlPOScdG2fCiyU/XdJxXyRI+h9ShxgXlN7Oa3F1sQPlhnV0SlmphYqzFnykcM6zLR/aYR9KkEPproEHv61hzOF1Ykt2Kf51qrd8FZqU3NGodLRMEaIcbYMFMYI28lSMX7hK+4YEA34QSct5AG09J04YD8j2FNcm/q4h2wFhusM91grc9rf+gA42mxOIT81sekFXd5w2CwiTNzS2jgV+M6zuf++bGHPk75kvZv3U3wKgY9dsii7Taowe+Q2PgITw/5uoxSVVm61Yw42nYb63ymc33WkbwwljkRsEeDlco7+VRTx3GmB+ZYnjFsPeqfjpn8qbFHC/+sfemZbcS7afyxuBackKanpV4optlInH4lkYW9XcXtQP/mKyfvuZoK1/lELy2Gcf/NCL8AlSynQ2ITwySMJSNQ/c/a0M4o+uGXnYPd3oPsLmOcrsewP0BIYdCe8rxdxU+9Q2B6swwgIyyPD85aN/B2b6jWawCf6p3q3BR5rwT4wUzftZnovVr2pbQl6fjefQHOfGltvYC8stXt9EZY+CcK4duwStNZFdfsNQ9OaFqWNQ41ZuM2O1tQyKt/3ek5uN2upka14D3/OT4Fml0xMoPu9kXZqdx6eCx7a/Li2H3K3dQ/O9ABmOlT29I/ZU8pH9pK9V+TIx/kwjZWjfMIQyhis8fDPTQ6bt4b9Tt3JO4N1L7XvVIPyQcenpu9kPtzB7pliWvhZuv6mKgjwaPtlclUa+EwS2QT+7YLdlrW+LlWQbUrmWSwiFqZtBTx9qKPlX/p/9QFegm1PArUo7Xggdn9+aseWa29iZV8pkARHodFQiEU8ywe1/8nH5vx+ik1/mFaUfdLXnV7PAy7xut+k+dZLRw6MzKyj9XkTvfWb/8X67b968Ka8V56KyUfm9i5oHHK0iQMc2Zqa6pxtv+HnH+d8m6ZRQkWQHGqqwtox3U90oURywww/OMP66CQrRpOA57fzWJc5e+fdzPIcENB6+sapf6WxGg+uehCHE6x92iAYS+Hdcxs42DK15fBGRhPFBU8F8GeVz0PtLC+zJ+DnTwFrHVhzBdtsi2j2JAKfIj7f51EdsVuKgx58B7yv5mHWIc4jvstdlalIT/D9CeE4PQVtRwPQmSPPqsEGzYezPMT//su7TzeH1+zBXuqrQE0nrpDJgaI9rDHrt/7GbHoGpQPmyrq6VbA39VXvsBZmGf5Z5aAPGe8tWugXY7Krh83N9AWHZ2Dg3+1yuD5413vK9WEdXTemVtI5boC9fcPkoEJVlua/Pe8I2IqkMvf/jqlXLB9sJA/Yo3tzFnsOZQH6ypeRZ/qFr2nYCjmih4pmUSNdmVgO3ktTjeojHxOhKI6zzu+xIB4W28PRbU3tkDdHZYTyPfgETaLGoqYPRj9HP73DVt+cTM18KNeyM3keigP7HQTY6hwBPfXbiJm4LFcFqjD1H9sCNFl2RgkseGlT53qTjCxVsX9/F69DvJr6ng14Xt7P3w2SwPL3VYytiQEB+2g0gBRyRaC1SCiZDtgwm3qiu8q+WjLu7RL2OR0nZmJHKAP/bPGCGhtg/dnksH7edsPEw+cCf6tx77GVZPB7arr7pqCIc9hb0mlN1u8JfNuhGT4tISbNRp3nDsKVtfGqgJN0IISzaQ+2dUgt8Nij+hK7+QOe/pnHvz1okpJNQCs4Pu3uLl7NOaqKcNc/jo4+iZhcK+p/1GPv1mC/YM+Sc9d+40HjSiemHuKmtEBLM3LPRh9VA7mDbbcYm8BDkMMZ5pdo/ptTfEaIKqGDUssA2FmwOLmA750rG3/h2KfAzGE2tl/wvSVxyb965eIM+qIZkx1zkxk0ielDswBPLylTVjn+Ba5YzM+r2vafWE/v3CWrGqZ/Uqcr6AnO+/2S2u1k+l+f+ynP2YRgr6LSvVrc0R9gC64ySrySql5c7i7YgSw3h3TwfeBPlsrlR4n4nWuYTWfv1GhCjVv+9nkUwFDpgEIFvHw2VZzBMSg79BrRRpnAT+ZsLC5ah1qLJBzBCkN5vpI9t0iUhksi3baDtXNsGLqnBdnkzpZQaytzShhj8xforDdHPRgnWWrmV0z3RmjJDf8zLnLNnVyHtunxfIZ90XTymnNzLoyitG+7NGr31e5uYfCLDPxixf44ZEVfeZF85yueDha/VFol2SjfbGPzWJapZe/OId6xXpr6xz583kWNnwvs7UGIZFQ8dMDO/2t2f2zupI+DTewfRuA6zgaVnGPJym7/IJ02FohJy9Qq3iaYgWXtfuMBAuksbaZRYWzKKcCHSnw+y9UH/Q1zgDKHa26BVpgbx16PztLVHHnclkfRLz4Lp5SM7GcewPYKHnrm7OsK81HBzzPV23fjB946BWxlSk2fpaD9ztZPi8SqYIwfczQBV+CbKKQPe2ThLCG1NXllMYlznDkE7W/1CNzWe8An2wdD4GsZ+gZfOhmNxUe8qcQ2Oge/NipKQW/RGNSbTipYX50qTJxCBpo/dE7F9QFjaZ/Ep3cyNcGHBGzT8o9q4MxVmy65UcoRasJwzbvmhaNZyyGpRAe2ISa9pGSQYPfe8WzAAG4mwLavamled/unXyL1c4k0Yb31PBVtC/axOloew6bW9+BZKui9WiTxmdnf5oT0FPOcx9OGhE/v3G+cM1UfzdDOpVBu2ifv2LmPmv/0/fnKR00qsHHSSaRCf58Z65+wrqfSLt3q9ecG1PDKnOcqGdj/+NM7d9pW9sQbMXMaNC42OQ4BvgA7fpt+nWp3f8lAoZSS/8Vj31/YamwGbKpW/XFcdSTz++YUNw7mbQJ+pYS5zYFn9cEFfjf1hcR8B2t9o6/t8cT1DXx3i/vpBZZpAb8GPIw/zj170bXNQBNdcK/fjH2jYrml/XKq+2wj2XZfsq3V6P5Jxr+bDDiH9wmoCcSAGZMc+F10ZEh7PJ4KBHMqbWl5d1K0OdG9d2KwvyiuqJjXc+9tpMnwCr13XOWKw+mK+y07D1z+1PAX4aY2vdz7rVMhf38uJK7j64oHPDYCHZtoKyjNNmchp6zHV9P3kYZ8qqI5qUEJZ5T34OeuOLL/YVOfdEicdzx2s+7tmic/MbkskN+5/rTwqOOyQ6eK49fR2u5TCjok+KmFfmhieQL1+QLdxRq6dw/W57NBvo1hDecaY6ablfZ2zDVwEJoKPnjvM9g7H4gWAg/U8cqK3R+g3cMT+8kf2suVeIRPt4ypl4kjAL071hZ/gE0elJ7+HS31IQt4tkibuv6m3itNY8zBDzm0uG5MjSwe4HfurcdQ+KwosU1P0/SnVo02rGKpUd4MG2JTI9DyQlO/k3eqOud/YL89nRR8XKlT2BN8D/b9WjkyqqO2Be0/yRFzk1lPhfdM+3cNyfvD1EajlPv1Cj51UKQC1sit5Ar6OBJar4xnD8wTt7bxs3a8nXxt3aOFQNNuS2DpuWQKbPKnewqIqVP/kOPfpew98PcTrGsecOs3NlUe3KlVSNsy3z6A3cBCqS8l9iafiYG982C8ssbhuXS5h4dwQ8Tcyl7deE+uROif+gKwQx41/P2js+3TLkE/9RHzbWjO+RoY4bdfTm10k4islYt86iIw3ZxL8JuMbRbG8bWyeqe2pwOLkc00PioBj9XPLR7QKe+xzhGH9aWlNH2Q9E99B9yspBJj+KK8dM6F/s3X4w5q+SBvaZHsa2vzNFXMKqAE5eiXMjXTOtPHt/SAQfPU2m4OlrdJY/6dxqAHR9C97NPNBYqPoGnzy3zhNvxZmtiwxl7lqr9Mx8z3GJbDPOeWnBkwuyqQyT291+J+UyHvUqEXwhSuBrRkFqxHTXaETUkTomMJoFHTHvz4QmW4ebGBgMZePB7z6OCE63lUXb0qt+l/71Ni4MYupckj60NgagIsxG3YsysR5JLrJGIhiirun8qelAopBzuLD75Qp4HpcZnaTChCQHfBO2fgJ+/w3Qu1ZsZ7mwPvIRHo7/de5jY6VFHbcQp7ZOVI6faYOdfH8TV3Jz6ZHPux5kqDf+Al2OAqVAfWqwOsf5x1MhUIByVLeD6ADbNCi8XNC9bJvyrCR9DYccOmd/35tOn/PFW4sNzWNLf6l3K8KRtwwp1+wwsVZpZlgf7BTUAelc02wEst2P8N6e1nLXQmej7VEbbZT9/WqTJ5XdKeImAbr3b9Y6N/6wOssjD6vq1EgV6V5oy8wJdbfAd/D/ibmNrAB9wvA1uRC+N9pxas5LG9YLf0UuuPuRvYA4E7RifWQX+rNHbADjyafO7S8GpTLd/1HDYZ86ZGLKSylWHArDFxZP3Wz3QC+rO50RWZOt4OH3tTkwg43cwBAo4mP3GlvC+dRpgY0L8vZW1DbOMP2Ku94r4D64Oc6Luf7/2Rrgg07LTBNNkTYCR8mW18+XMrx/3DnOcfnXbOizbJeALMZFeNrR910IL2Kh/Ynb5T27+fRQsWlX83QebJUQ5NUC6plS5y8A45Ld9aD2y8b51h1Jq1fDA9fRt2xswmQngVaIIL2LBXTeW9FLYDBPHvFE0r2BawDyZHdJuCj/qoaPg4RV5Wd1wzIHnqYmL6egIHDgdbv8/ZkmZAQgIJ52E7AuddeeHfYQ3ZKXAths8px2xzYl6Uxz9nqt91l764ibNnfzYi9DpTH/dc/Oj5DY37NbX1vXG1qF2Tw5auuWO/tcMmL8AmX+b+HC1T7eKC6XYtC18QTgLJicd/aoCAfg5SsKlbpkQP+jwzcUauirHLYA/WztXkEG6qfrkK4DSpmycxvRlDYnp3zW9tLkKeK2r2mFzg7zt8SCJYjTAukmba709sO/MIsZJ5DomnALO7zd0GbNBs+udSNfpebc3Owf3rNMMWfDW6KpfjfPwEnU2+BZvf8TbfwPkn4HVdr+GtWT83pY0Y6VtTFz5OEfhQAFUpMOVr+MwD5KSBjmnk/dwbcFvdsZCVCkw/dzPeclO52Wriyxr6udZh8zoX/N3Lzza1ROjIBxZLzKIf/v+vB+HF5H1iLyvUP+ChJxvbDdgcF+bylAPRnMckh334XTFcVF1yqtb9porZBriDEPCfP3WbbTXn42/figsZE2C9TxfWzgv8M82dhQth2aZPXq2BF6x5k/OffJQYxv4i0H6Vgc5Yl/A0stZTAPYr7F0Yry8YnxLsFiMhP5179ZKDfcnc6X138+SBD8yhbrBHiioE7SO869GZv0sx30jfmByerzyy+zz0Kuxka2WxDYu2wEe85Yi0pne1FEChkYTxlTfMtgx0w0mM5r6tdOj62wchkZEsmC27uri6osffddzcQHvHEjRRqfGQhySEOTkCv3SZ4x1xbxM6apPnhH57LpjeVq8Z5RzbxNUtrE92DtFdBQR8r0x+fUqBnvA+4P+3FfioAFvThlnbm8nc472MzkNCm1XtGqvxVKHnE0pNTMWKo+mRctIDbR7psLWpO8lzdLVOQs11tHznoX1Lmb2m62+MWcxGRBu2tdkYLjScK8VL4HjYGxSBYN4eiGgvfPW/TE163GFWaeaBrXqUNtnA/MZ5pKQyOUqsldxFh1KABgf2V4i5lLav3E3Qey+fwv1LauIqrU+gB/IGNQvs9SlnLXxmS80ZErzDB4nRt8mOa/iUpDGwo60C1WvBeg5rABhZk6wK5NcJ+SdgEVyFbQhcMOFRveMPHyfQeLWlYMFPqdknpZ2wvIN902naUAxaDE0lVzfgGcrtdmq6pFOmF16McB55FXfU0dQYZ4b7wE7IEAlSJM/MsicW6g3R7Tu2B0kXxXiAeWbSTaOklJFK0rU9nuNEmHqteZiavm0jK0w+jql51zx5gW5pAFStVS5hTQDHeun691at/gJsfTR92ynok7rHU+b85mTJulfGXm/SvrdKnkxp38AzqSgNe4uIpedF+FK2PPBhKypOItA8Nh+wA5aZpQwhFWGgqeQEdvGfyQElIGrkwFwc47UEbXOKfu8rteztmYzm/IpkNFq883h1zz1GNdV5bWUezEkoYj3Ugs+gvw+82Ju7dtNXI8n+1+e2dhCqYjKDnvSAiyw1yI8q9hcGTH+w3zVn5n+N2AYH069v1byxtlcFrI0LfgHb5SrD8WH7gYt0IfwKa2BjkQH0EMP4FCYPaXE/p592VeAStIal6H49ulOPTd3B//L2JTzXu5+vfTJxIDHfK/A5kvIsG2bgdwm8tzCGeng2+Q9sypeI90vKZEAZ2CSNuibWM2Zg74u/a8WRMPdRDbwzsTl8nwx/4uvd600Vv7V0QKfAeDB7ZD0xegCdQ3uugEHqQbosNjU9J6saWpuH7XAeYeRe2+tJgIfuTa/664aFS0p32wzYXp/AXzPHMyW8Uc2nUq0yPoW//dr8mktGiwSEZ9IzXlrY5EczNVGkQBtJVvefoBnsgjif1n/abbmmoI1gd51MzRDcqV3qwPNaU2biTmA92cSZkny4uowlJrf6HR81152vlam9VSTAmfOhMnl/Tuo0OvkArTA3jkdBA30QFHqlbXpHyJlb+IOtSV/Zkw28vDlxwkRYenTAYJtCW5p+d4EfKcsOZey/ed6v7E8bx+1O6t8a7ygzPVcEzhhQsOlLXZn9HuEvUy8170GuRjAGI/GY6+fnqP2G8TvUIQ7LwWbZynsW2gMtJv8cE2Pf3v7rXx4in6+JA+8DNtjz1PC5gbX0T0S6gD1/Odrg27vUxCyL82A5tFdf2PpcK2aHnKKoRp8P1pEvZQGdCE1Iz/OG2RFo85nwEOyD/eaoRzkaK8fjqtdJHU5hCpqnEnJfDn+ss8mzRslXRttLHn/+L3fp/gJf84+I7ZE603hcm5t815PiKuWjNLb4BrYESCm1GvD775hAUbSyElsTq5LWw4JLDVrBVYvUbZx36Psc6mMmPJIWOGABGoEXmKkbeXxtffKTYyJvTSB1bmoFu0mR2vunDP93j16QAv9/cQ7UMjFT6sF7TXjc6nycbOxYljnnOoNNqwwF9QvMR2pRkZxA+1vnAXxOTALF9g53ZnzW/AXv+FGHdgr2PzwPn0+hUSEjpKV465S7q0xtezHTnPHAxF/kq6ktgrxm7Tdg42lp+mP2tict/QXr4AicTzM3e2KxdIRtv0uLvWrUO42lj+ArMnrZ7k8B9sAO+dRplxyRt+0FO8E/RIxO3E1EBvql6kGCRss/JZag4i1tUHLMNV74aPpvqLSJ+JOPyOJsvpp/g6/9V65J17iwKthcMqF3TWR/E5o9QJMWYpjfZ7DfnEp21go05BSCD73XnHuwvzlfJc3DJOb5PDdsuZG1NTmgAxX2NwdGFSMaas6cc8ejMwU6zO92JexN7krQtKqDOblWPDP1RH/r9jDwJxTpSYX2N7Pbmdo6gr3uA0O0wOhJPvois/ErNec74dbUUJLS/J9+/2pWmcoh+cCoXWumU1P/ooG9A17nG3zJ4zzye22Rdw44gj+yZE6yh3V6FMAomdHbw5yZWM0KLNI5AtsEPv4kJMwZLpveDgUHRh2WXa4lkqJt5UpyEaGffl8plY/M2LZQdsBcbu1Y7zypbzY2Dzn6H2AHy7rgMFdeYHwCaEbX5N8p689GaraCTWoJ+HvF5Hfutg7o6gLsx75egek4eVHmbZggryoiCCzzpAoTQ+BfiJDRr53vr1btmPhi0mcc5eB3H+dw+ZfZCZKj+pax1lyrOzDWwKN5lw1er1zkwf8zfdVNP4B7heSxCZCJP7v89/v2iAtYk7HGpo/Wb3wvTxaqgfv75JEP+qvqSaGcyTfnjZUz/9TWFqHpm+k9jSb+0fcaLaT3nNz08h2eG2LqOgte5Z2OAbtOrEMIfB3mvSnZkrztYQl8ccsK9I+GreHvfWbrUiBZNax91o72mK0R+G0ibS2raOuwGOeg454q4v+oxuaMfFaiXJp1D3yBcDqA9kR/XaMTKSX/CMvecUQjOLY1323dks1fmF2fKYI9YxOwb8lKw+03j0v7YG3/gd8saez7aretDnZCwGoUNTBzDbY5158LMPgj0+nKbb+EkRlEIbPKTe1TIN8MYJ0K4Bq3JbnTtseVtERkFuwrP+/RDsZ8AL97ALsI+1j+ay7zB1/7G6PNIim7AS+WBycBrQykxmx64vpIY/4q+yk8s1mmTvZgo/++JxoEe64M3ovEfAFd/5ELm1HkOwq1hzTwsaSp27hgJ+PsVdLMnEU7B8taYB0uMuKvo+0blnEEMlV/t8BrfJ+LvYs5u+EOtO9r/q1vkwZoIwr9ovrT1HRKU2d6NUMyGDtCg89NLtKH0P5Qoatb0+ROHOD6iFtg9xzQ4CvVwDZR6oDqKsnl7uU28LfgiFuld1iVR23yrrMU0xjZ4ENHHGu/caVD2N6VxWSD/bYFau9pL5e0n5N6/OtlNhHnGJSHK49Mq51g5e3Mtk8KdkXuZlYJ0Lbi+syH+UXFdD86jYdf97ft3Zhaegz54Ee9xMTllSY3STew7+YdD3VFwgnXKMnAdrPK1HWwtgczNrRPssaGPc6TqGJJWMXpBrS75AVoCPC7R7ffHK3td/NT0eW/eyIBvI9DHp9B01Bmf3B3b6XRnOOi3QEvpadQApd57MzJAM/omhjOCmlONHnioPVKYZuarQEDZQv6ZqhMX0BrKkrKT83aOMAyb51ig467m76PptYb2OFDupt1E6qDueM+gB8lXXupwu3pLPSDItzlNqeZaDcZVRyDnylBh5+BTVnweUsL0OO9Z/pOL2DLQ5gb9+hcrV+2sbZfNfh0qgkDn346ReVi+t1lg8Z80KA3vOfBlS/cq51y8BP2YpixZCWW903G9AHaxsPO/nWKsidoW10W8I6X7Uvx9gIjQURE3vUBZCq4B3y0gZ8V+dh2Ajxe3v11lW14PKnScaoax/SwIlNtelyDaQBuBH0D6zLob6Bxv/Buzqip1Vr05s7pzmL5oexwYVoeBDDM+46+EjAW/Z+H0tdXNgD/BOQkV/5RW58O3/15ZiJp0+GntuYO9M+ehn9s2GNRHSMN/PA0Z7XAiTtqesnHLWLWhGCt+BVCD+bKXeqq9zm2TWxZ8JB/A2tMpsYXc2bCCrxnTEbwnnc+Gg5IX1Vv2abvNBUa5mLmvN8+c5jjOtx+cRPzRLXNOba4NVeVI9FZPJ3alosCH/C+kzox5JjzQF70L9CLd1YkoDlasH342XR7O1/9U8m8VyM+l7KTE3xeAHbfSVf5DVp1ZpeZnvL5Dsz5Ldf2q2Zc4n5ZDi7YtYAbH/OOgfF4P8lGALO5psdaC3Oyf50HW1cBuROKspIlsXLaoHKmY8bmDGudE+4vJUcTjn1RR96+6fwDjSZ07k1f5fB2MP0b1/AlOrypw9/8ryf42yv8Pq6iWadsTjOHuCLy/FOkexaQ1PSjlrYcq04fa9v3wN+cysHE4YQO+CIfNLKANboo219wuESEK1L1SFQUmdzLB+ze9xheq8JPzrH6R2y/OoXzUUWKwfeGwIEbYKhrJRLYy+FDdp8wX3iTmv4zzqdj7DwLeNZ06jvTxMRQPk4FToRunXLQoNzbD+ngHPjr/V1ZhfCd2NmNgB6tRti7jHM2oKBh86MR2iJFs/AeyKlDjFmck5B5meaCjaDNQ8mU6y919OmBJmcVx6BvlrxZ8UfuEHlwewdUy69PkQUqqstc4nBrstdbc75UsdDN2dQxFxx0b07Ek5YXfmDuG6izZEfX/4D5LHLwpaZmbU33t4OrL/KnR8JyO5ucdsf7okVr0d98vdlJx89bHS3HzAINPtgJt5ICnvtm+sNh1lp5x27NICMyqpJYyFbU/6BA3edRVWCvmBDei3GyyML/krw1IYtXQtPlxPAD/AXY4fatK01eeMc1QcAZlFmqFaPPG4pE7voi1yTKemCZEb34gF7U8r4ERXmjZdsE4U11xKlf85RbbMmjiWXwrPkg08pJH7UGf8GSksCcvvM4alMHw2h7qlLB0hcf1c7wtWDLWAt7OlPFmNaD0JOUcb+WdvNkBe+yn+rf/o2YSvV0/yLcnA/JEdjh565BuiAMRhJmwDdvTaTG/bPkwLrc70Aj789xO58KvyJjtpyAganLwcbpjnb8eh6eq7SWfTV+PmpTaztKQhOXXdotayz0qkc8VHxaTqgVR+dzPaH9E9bzm6PYuSAdaFqwv3JQQWI3Y+go1n6BxhvNXQmJ1LWJpMfAvlW7P8BKfDgJ9SVNbV6w7cTaHks3+S4dlFd9A7p+ejTcT9Vla6WXP9bB/b+aGGDHO8WmqNLkIzU1qtFkEdhP5Rhuqsu2IkV75SvsCXu6gR0HrtCRiUfGoA3KEbsSpQ6xphew8AHW5MH09IB9eKktGzfmHHls37b3UAls4tE/cGhjc0fPTexwoZ65kwTU0gwPc3oSoL94eSs7UpFo2uNufzvFzaY0MYHhdZUxsB0yNcjbf2qVwG/tAvYhAgZOKlT+Xz091M51rL5piHqqS+ApPoA/8omzeYC+OZkeTqD3PRnOdo70qRlNraW2hLXo0MDUftyG0m2/wF58A0+Cz7i7wIdx7qoC9M//4+rbuhuFlWb/EheTFT8OMQJjSw5CF9AbIK9gEJjYjo359aeVvZ39rfMwD5mZ2FzU1VVSdzXNvOm1D3AR8Xxh7tZplsi+xwOHdQOxpv4z9w+0njNfVRKiKvlasQ3JeHR1WdQ8qQl/99D/O/8wgXywCF+dj6K9annrcEfb3EeX2qXBn04x6sR7M8J3qEPUSl4A5/fW14q1tPzdF02nhimXJY1TumGHe3E7DgFmvYHnpyTftD9w79uaB0vdm90B3gVNmotIzhdl7Oyhv9kfUzmgg4zmN9Akd+Dqno5VBnoXM5HNxHN9PcxZ5aj9UZZ3yFNRtckulQlDwcSn2jTAh6y2D4JsFFuWr3HGUU89mmWGfORj6R0FedUebOpx+4TPLPVoRtDFAouQHO3ED1gjqv9a2Ki733qByPZnkoUh/DhGLs4cNNqeTVz0KwXruHGCi47aXAPa2rpYHNve2rbTxeu7rksDuaC2e+T57efA0qpCkMuA85bO+73x2g7bmRu2Dzk2hbLTTEQfgPK2cykvlXf1cWGiKgq2DPLefolWO1+/6WKCPI1SCqpFxMHf2c3OEycMmE37VDW9SkGP7EGHbrkRXdnrVe3BGt+kFDQjrxf9iYf5WRbmEzR5wEy7z6Nohe38zpis4BqGjIMej93DAemCDe/PmjcvvVwBz6u4mHIBXIG5phfCzogjcea1oe3PszWf9aDfmucN3o5zof1tbARKmnjlHAHL8t6dqzjNqdvMtdfGe4+mDafVERkDenOnTfnaq3wKR5zLwd3ZWW7ZgjLcGVaPaDoak5b9HNajWgmvXyQHDbuob+ABpdVRMr49aweda64p5LkS3osjTLjL7LmNMVcq19+Vs3IPKHzNhZkh521zY1rA0m3mTCk8u+jIjGlsj9o4HUA37AWsGdCHj5JD7rezdQfgk/3W4b5BWT/1pSsudWT2pL/llVtegPtkcggo4Fqkx79YLjBoNc70QwwKUdNcGkZ/gMoDvill8/3eb0PZkzDn6Uh5wAVXHLi8Bzk85SJkPHYvuTCAz3qGXENKQ8Ij758NCudm1AR0/Cu+uIy/4DrXoC/IHfgU8Jd/s/DcFPKmA+sdntf7CrTVoqW6M78JjqPJmoKvsPN1t/0PzJmHUrSdslp4mIUeU9AZQbxfUMnQ9JMvfx7j/BDN22YgTjk8HCFvw3Ho76AtdxT4SyZRWDvKp56+Z9YruUdJ7vQPyNU77IKmLpDtiTg3nIBeQQ5oolaidKaW78j3leA0lNJ9xXKy80xSDXPIBvTNosyX0e2TyPSu/HAEnigqx5QySs8YclkVG3S0dWERSZv+Zn1vgROQVbPgO4m2CyCAfzytf/buJHRBf3h+XfLh/FqHoLFDv/awBxrQ9gC4ynm4zFmDHl3/1Kebsf6KO+eGedJ+5K55NiKduTf7agwjuM+p5OKZeUFMI+DDhrLSI6gWiFY+GUlEx6OZXr3twJWBHwM31chYLQKchsqySAVZ/vmgR8usEwmNZ2b5DGjIR416VyUkrwrCQZ/9gCa5Ab+LGQsfoncXEWkJHOwmewM/ry+gEV5n2VPmKgYYvVeLJtyd9odotToK/WnnEML3HnaOiZuIr2pOnVpeVxXoJrkhfi1pIrnIgPu/QU7+2bk014voahffIZ7d/SIGW8OIE/06y84yHvTZmD2OPV1JbutC9YWMUwG8jZegqg/5GjDi+iz79Ra0cgYY/gn6eDoisdKmn5t+HVcoFWKj4R0B5+95cBSTzIevmTHd1z191VQ8Mke4kFO+MzkBN8YBrKVHI7Z3ywfFc824hzh8B21MaKfYew3XadajDY9utgZyrqSRtqbY1rRb7Q/va5DMLNa7nAxEUYe+emFONYOUCLwGsLQgY9qSCLDCpA/7TkA7fMponddiushhOltPrZq3kYzP3s6dTmwgve151525H/l6ZEzccKJ+eCJwVbRKD2vQ/s3rGdo+qUDFjq/7qQV+BFzyAdwCIgrWQo3U1dZ7a+AF6rQmzPz7b51K6AB7eit9Bb+vJ9798w4JaDh3AjwMMHADcwQ+VMdmVPKvz/e7LnQAvHcHHODRRMBqxXQDnR5Xg4up3xIxTqUcVFYXU66ftwE0tQf3890McwB6GjiI2MmuVZXnONmAV5Av+2O+XrijJsgN0/+ZhQS6FMFzVhdsSIuFfpRD/7BzsIQBPGJtB/jOGiHy0uiVhnetAXjgWaqDDHa6X62U9fcdp23VhVUN3IQiPe9d5Yoh+LD1brmc/jib4inGfTCKvr9IWO+6/3LLRXD4SGrrLBsXFEq8Wpigm3LUWSbFmX+snw28J+sfpXv3B3gyriNiZ5ouNfAhNqo7HtJZDbckc6PXeeXNvm8N6lZG03a/pH1uc1PSehVTwIFSW2/zqMTXQhYz0y7td06AgSeMoNM2eUS2x/jW1ovyuIP80oPsyLYPOVCn2WCfefZE9nVufoNwbFzANU5Zar2cSM1trZJhufUuKERZjirZu6F/SKhsePDfel502C/mZ+8g9uvyIt/9jJmJxi3wC4Nxvv7R8XY58NkToHFffTfAVwbC1E81Tm/5ok60Jw4uJgDA66USmduA3N9750AgsVXA+Vg0hSJa3VkS3vBGDXvPnZXn+Kx3ufUjxdbHZQCduBj4DJ3jWLz4/O+8VtlrSovezwEzmyhN8379DetgLu3coFgZ7D0c6qQ+cEtCozQUG9LxJHyDf5/K37oAYLxD0GlEs5qZofHbazkQorxgpzbo9V3n0rU96KLN+/+cE2X/4ZZvx46KxnufudvGkKPyxiX572zrjfmQXWoA959yBK7C6EIdM/MN9wEXfmpP/eChWSoW2VqHi4r/Zge/5Waqcuc6c4mu8G3nhm3no5y6amlRbggm49n2lHmNr1fS1nB6JKglOh2kuml7oiBvc230lhpSZmPI6j61ezFFs4iY+lPJir9arG/M8KN0s2durOf0jeSgY6i3th7MdqbaRva3pNrYGSWU5wzF+aDbzBcjdc0hGw1wb9PC/3k2Hfar5/pEh/Squswt+8e8c+w0gb997INGqcM9DHrLbHEM+TBSUeXwR1PQfbkgt+nNHr7/Rg26wvWwzHJ3j35A7ios1quRPoVn3GoDWlOaOLdzbzfEnqIctK3v8Uj1Otc7FqKoZLbkUjwBb5NDIQLik8fe23rYN2U1qgHe/EWhcCRchXgEntpfl+Oo3L03GbVRc+6gCrRinMfK1WNrfd37zCU/9aDsvPqXn3m49wijXTg2sePlHPmQxyjrr4ABqicSrXgnPmlMDpJP8jj+81WhvkkfWG/cz3IhhCxqIVHrAvfp8h7ddg45NMWX/zszor8+VXx7rcOT/rB9edYb8XZlkBvZMIXq9L5kLmB6vh4waJrcN+5uafd0EIu0uyBOE1C+vSjn6ub9bcpN5traMhKRaGdnqkbls17sTJkWgHv9qnWc2bDeAY4IEgWgDiB/+LYXLPgQXHxTV9EmpnvVCY/5huIEFQe5XkAvikr2juZznBc0tn3TwClnLAxm0RUwNQhKfxso0Fs8Ri/vo6zxVqCm9f4Y6UOdkL5GLSb5mghOgLNFz+NI72Vn+yhUyxzgdMONZB3Ekz91B+7MAm0fzNYMGZHXaLrQ0QyHIh2PEBfMoK7y/mabhjvn6lcOCkpnPhMZbDLeylreip2HXdDV/AjrK/9496voywfN7Ggv/TkOjzug7Qrwqcg7dajcaRBONO+d1tYc7POl9ShPzzzBSzmK8nU2epDCK5/AM0VakY8rcNAWomJyya9vZPhWd9xlAkX54KZ0E+bNhgOjsP7Y7fPY9yseIR+UGuShcChHWC35+6qR7wGRbXJIRKqc9jUHQdm9aDlk7jEOPusNXurB3UK+P+jTesRyUrh3VoeYUGHrQdC/exPdZlyQrPYExnaWADepjgNad+mByK+V3ogT8afU9plpkaY4/qsx6yHjTGREnNmemI3x+aZfSqf9LCX6AWwAnvbuHDcmIDFRzNawbsSKjBQwOrhxpxUc0YN23APpoocedVsNX89KgBbldDj2rbdf/vz0PL7BTzwCADnkRJ7vd5Xf3ojF0FFw7ilVj1O+d9TMT+8+PNcVcGLER2HqKHpWzjvoFkLoJlrqSL0dovOSWXcnQ3PrV30cvlxpHWv+WxPYFMDH/fOTd7TCsjU8pqSyvig+mbG/fShhdszFLiu2D8jHXEkFcQ88IkpX2tU70mnf9rYe+zXo63ZlfaQr0BDMoR6LXAJ5/1Wb+gRMwpVHztpTgnjT83gCjgua/tdLxFG4tHtaJg2rRJ8VCGvlQj6VelcBz7R8TjjK1mH6BHj1cWicujCsgTzCo8kDTLN7La8z3xNbhNg5blb2X/fMsX735gP44ZONdo4twuWwToBnb+uC8qYTb9ibD8TAGnLVDrSVm8fAmZ2AQP41wlXyIPuHQqm788Mge64z0MKv7/qtVVS9VjhKl7JrU8ZvFzLczpUvLjRqR86BmwJWwX3v64E86YaegDd6Vdfc7azAvbeaIZ9YL80Y8IrAdTGIjVF5wKNAR1f93/zlyp5VQnxcQGcXAgEPH0jGl/ZR8/l+lOlMRr2njCrlmv64EU7FjJMPbdc8144olMqdCHikyYBjuNli/RjUuHPStha6VUjsq56/+OHnIVF30pNJxFfX8hNawHstpowmouRxYJgvHIiZWfj0d16brXeph1sFWifMQKNqO5+vUHau7tuxmCwXkdpDokl0xz2zOoB2eellhVRgN5KpEwgduZfaD2Pg5SPvzYU7BsE7tBN7MYPcwHuXlcAv67jtucR+I80ll/op+5Q0v9hGvdqZPiTcP3O/HtSb053357f81O75iT3i2dmRx0Hgur+9HWM7z5Qy0BwYcxc0APoGjbTgMbpLiH7QFHvNjcejbLb7XThGb6DDu7prCd98+cDDrpnT3CFjCMH/9pZXJWvvkCPapnex4I6DkR7y5xpAon1TG3MF3ezW8Uwq6cygiXclbxbuGj932m+I16Ha/LvsHEpEh5BypkcVrekO8KTuTcYlPQB2vu4L1gBgb5eOudfOUpADiW5pFWk7S4vjYRaVZ2aIk0MVcZ/LechF6gkZ3cWIDirZzsCDrmRwQUsIfIxJRYbZlOM06igleBNy6/XyqnPgqHQIaN3GMQUt0EP47SfElayjrwdgmi/ElJa9Mbwnn7Rr9zvP7QHPWClXs7YzzvncHjtNsa0pRdTJkYpzYWdVAycfJ8hB6+1fzRLwEdVnXmNaJrpfjfBUNu97aIdHEQtEFmqoi6N51DK4C2/a6Nh5NH7v5QPBdrYAZ6BoTAh8aBWAzj7tnbW0/YjC0FMOcfbf+/qwM7rgnUR1fIPPifxahKdqzBa86e/A3397kayuI3YmtJ23yNNDOeioiRXoW1WqxQQUtGUJ+TaTwIIM/VY+d5qFZHjIgrz/6yl+UpMue1/EjNGoMeRa+sJvvPST9bZs4nrRC8WVnz7wEsHKTLnsg30DMQqcAfKg8jWCB2Jo+JuvxmZFI7s/ogotRUo7mrHuNY/+NjJfAQ4amg3rnA0prF/QVN12qRfIqbz9hLVxwUM76o26H3vn2fi2boU8MM9WuksJXcLy+LEuOURqbUD3Gy00cBHgk7Lm5YL/N2/0ogZ0E8j2p6ldbc5PMcyf9XgGjXMN9gvkWBlYT/APNahQOWmYdcLVEjBCkId26Ie2Hj6x2NHT2voSZdjJQA+4Epsz6Bo8W7/rFx6KeB6qQnxkDtlmrPXVyBfWl74sqNJ8/a0WdWsSpIDtXiA3J0czLTvndudx5vBR2T6f73IwJPNA3xv493jdQg57E0gdSH694C59+Tqea9u72eHV3nlADqGoid1PLjNn734968TOCMouwCGJjlsOaxX43O0bYgv4CTwtpN0KvptsyAlybVZKfCmd7I6Z6ZQAwjkEn/A8XvUbrfXtBg27+fXf3GR3PQTAMyAvGnTBkTtkRfpUHf0BDWnPuXPQ7aY6rROGvu7aAU2eACd13CjjCHIwcOiiPR2K80KTUAnWLgf0Vwcb7b3AU3z+EHJuuaCfVb72qo2ydaiA3eE360yX++JAeGvP13/+c96hMOHobD2Wmj57sKT0KdKVglTYbIipe/3B0NbuQQ755q8GJoM1fbFnQ/A5n1KYAXsIro28VY67ZePUQVz1EAt7KtdxJt8f1vOG216pJIScrq/ET4vjgC9aRsA/xLa0806YVpUb4iMyKY7+5ppBXuYX4NzWc+ae9ySvEKgZ7gLeGdBpBtZZa5ro6y6i+V4WaG/PrrWb9jxfF7vFzi9WEeHwxr30O8vXGXCZwp5Xyd7WWKqd6P68gh9NvHV59DUfN2ll5zkdRHvFI73wSNtZ53fRo3vprDHlpMrl1s6aBD5ZrnIO8TC2KOvPq+x0e9beLWm885OMYsVddAJFaepNeKtc9Kp19O3Mwt3z9tNYHrBJe1qUM3BKJ+9IC/I0UXztVEU72FrEQ0w/4frHY4QMaDt24GePbgCNOgFaw9i5ZRsar98yjj2ZtFfIh6Bv2ld/5afyEcibaQbetyMe9yGvn+qRfrNBd4BTV9BcG9DtbxULz3k/M5Kow7EIe9BOWyzXbS6nM0EaYUQZ89I30Zs77d3vemgegLMU8vV/+fz1Xjm3Dy5dU0GOpAB2vNDfmW9sP9xKe25cLXZv7ublnkaQn+6Z9WjnaM/+vz2KGunPQxz5JaDBgYUBEaY7xOXjiPTfDGspytWxQKFOoiCHLKjlnCqJcjH0Hh+RauLHwqJZ0qS/Y9B4DdLyaOeDJJDzRvVkUTvQJDVHkEQ6mhAT4Qxc+vF7HrbRBnT131yYfGwvTN4uFWiuCrjNASGeuSk+RmlGe/FDBV5JSQpQz8mxow85pkiMbUbsvD3b8xVlKwpaQxftTxUp0IX00giqjgwh7ADndsVLw4bVpj3zqKWwNs8NDwYez2OeTOkxMYRL8aNlfyfPNbIebfA+VqCTqJ0TYeutBOgIatAd3ov1y17KRSPRBzvSo2eTCJRLF7jQ+nVGD2vpt89mAezucDw9dDzd7TxOyMEM1uZc+1sPsJ7no340LL2xSDnHuHUpawcs0Z54ty7zeh/y1eUQBX7TQe4v0B13ureeDJA3XvWi1ofc+uIYLVEgE3EQDEXY+sMidcJFmjQM8AfwUBniSjszyJnO9dIHQCmvTYFhDbRUeauLisWJus2d2vpEoe6q2LrYIRTLP58Kyz0m4dtJ5khkLFtAV3c4Cn5g7cO6NiWT6sMq1NIJWhJZbwxs90i3WWfnHf7Wp/WyEJmdywQc/Anc4I0V+tL4X6Ah2g/gcn/7bOr0vqqSCatu61M3lJj1Aeh5u8/XkUFkosiAc5zve/8f/Jm8nT1XWL7sPE7gW/RSjeLbevBkjhvzPuVHxleEzwdRkGuFzFgOf94RH1UvLnVssmMSWm+kEdg4aHuR5bYvo0MX1m9XVudhuEsVuX3tNV6VoDfluYnw0RXwOuJeNOc+sK0e2flWohGKwp8N/Km0oK8a6ZXugVsjvbfekdR6AEhtcZxyl7bU4vsY7puNOVQ+nuuNInbe986F9BNrxj3KKxFK2q9J068X5k9R9VvXTj6PHb/XcL218z9vFu5Pha3LOTDyqH1aNAJBXLXftXQLyJG/taj6ebO156taprfcWfmahcOB9w4GLqwciJNiEhVqSwmaPC/MW/m89cyZr7hTK45euvIK3MMJZEc5s7Nj4yAmfWT7iYtD1AaVN0vQzd91wl21RLD26QC6P+cdCnae2lWu9WCYVmKgBH+8L4y1W31avzUnwEkBudJzga+b1/5GRiWiQroPeG4z6EcP+Mh95yN3v1AHMww5HJRXdHYPzFxrvs5U73Y6afsDopFGaMcLZD3LDLzvVenqB0Z2PmQLuAtcyUU/ahSvWCZ0mA8lcNS60IY/17Pyt0+amBbuwVSOA3wHL3kSVnVMBsCoTlp/T8D2Y6zysu9XdU9KeMfXnReUDTMr4PI56x93krRiv2SXculfmuhNczrmtvYlvxXCWWc8CnqehPBe3BNoqRm0yKWC+5DFl8MGA/z+PDcifMt7pOpRYBE5Plvape5Xz0Ni7KzVT8rRw+5vEHmeySJenmlAr0KsWEg08K2dl4K+7udDrH+yYV6I++9+3Kj2ONzGXJpv0U893ugf9lwvVOgT5sBE4wlD7IsmTh3StYFKpi6PprkuSGmdPP+Pd8RT5jeGfbIpTfnAUrjY+lrE6mDPAusuHFiBUBXrX00LGeuZew1oFhI3iyYySUu24XZvm2h7TjtqBFDwSTcUmB0Zamee+Ua/zrJl6eiCJSSpEXYhb+FKmi2NvxY7/1MmzayR3VfDQRWnAY7nE/PRXjJU1FIMCiLraM/1vNYHrffgTuBiT33n/vTk3tQDj7R7Gq+a2w32Wpr7qZdz24+15k1/dTQXIx6ci0Towj1YA8/3BdY/rM3wo5SOw72H13RtTx07Azpckfgmj4XIIZ9l9XAjcB0P4MP7sl+vtJmyV3wd4e9tf0JlPcXMFB/i7KlF9sjjlT38d6tCOcLhTr5RlYi2jp2du/fVj+IaEQlYL4Nd6f7WxbqV3ZtzbM/vFIAG+JtV+zqTapJwFkNA6vj6qMfe+m6+1QUqiM9dPfCl3sCdyWDOPFhbp9uBRcJRHp/rhfRsEU4prV+8UMBfDfdboXwxCwfdm7iVx4jcIR5esz9We9B1e5cskI956aFfn8Zfn4n/eH3YycI/UrSyLrIHNwi4+8rf+2EKei8HXK8wmq6gCQbrNUx6FXGhd7XbTiRJ7zxJC+Aer/z1jUc+U584x34S9riiApyv2L8F+C0C3rDJgUFCHIPivi1lQa9qk65++4wHhWWMWuGJN+FCSuxbuzf9XRfGZRJwmrt5bqZTVfx5mZb5uH1omf4on8THDi25t/4oBZkrF3SxdwvkoMfSoDOsRgEc7QNiCbjmrSecxlxqBXzbAU0WE9ZmtmaaDtZDfeuKXn03UTo0Y/rCeVouKasjPudjWAFebXXkitIzN9rpx7Enq2pAErDikbttXnPgjbF1kcSLMk1gJ41UJj2QYe1grqwnVFQnKCu71Klj0IiuMjRu//yIuGiVSkQEvOXSSPLEkvRNl15L9m+GOId31iI6Wo8LUmZPgB0W/lB5XcjzJuFZ5BC/xXFDR9nPnR4M8DeTNG47lm6Yg46a+HB7PcNz7Sgq+tbPTHihi3Eaka6qTn/XQmfAAoSKWiw+1hfxcZ2Jl7Ldor6x+LrXXnnPh+ay9/X2KMR952aXhtsaoshhIznpQXmi2N5hFb7OAjLbMyoSiI2P670cs5mxMFLc3WWidPiGXIBvOCyiOGNfnoq5o9h2wc/bqRqmt73nvolYDYQHUqKvi/Dm8Jhwh3kPl57e3XzsHxDzrz29febcCHFMBEjy1oBeJlyNzFUhPP8COPnGeutVPbynsVm4ndHKp0icblc9nJccdDjwxkgZO3sKryx/lQWgjqPzJiYV9eaHEOLlVRVXsG5prDE15mHrZErp3iR3s6MJ49/6dxPuQGN6dezeSTyfIf4+dJIq0PeOHrYQ59O9dq5P4LAKYhszaeetvD9IRHa4vz1FpF79yxJyR19HbmDruo4GdIDflrSgXRUHK+4BN1m2l733ftdLP8sOFGRPnnyhaT0Eb8TZXpQJf2wPgI7048C+VsoLsnqcvqkQPw3kHWn066ztA3IZrMJ5JkkI/Bw9+ND7KuFztXxdyj74hvz+WfrARa3PGGuB5OOnjgzkD2EqW6/ri7AZgM8L0pPTLRVx65MIbWT0+J3foRl51dvAZ6UHHNNSdEYKaaskpkFYIzVPk9JxndrWKbv0Jx/a1SG/BTyiPuOzg5fmWULc1l267Jz3uXTa00Fkd9kZXAr9pnsxHblre4BeM3bPHHAOuHBxjGkHnHyqGXBqBrz+tA7VgD3t6Q+2kEc1hgchEXBq1ZGNmbGMLscBObKgUZU0zpGlmDok1gVJLO8RtoclCT8OYsr/l1PIfu+G9ozLld1/zomAG20ziCEC93iw83oM6UjkuHWsAQ/0z87XcOvI3znZim10piJEmuHhMsjVx0RX8DtX0NB5/ny/7Fz1v/PKTQm6XfR5tPXtHJmda4a9J745IoVk2qXR7fsQO6u9bx0WWlQl6pQZtRAT3pRAUjvvl6xXIM11Cn+HgUMbDBy9Aql3kLchhzh41fbsnrdODsGZRPoAcZzsvYDvnusfzYC/Cqu3IY8hFO2X9nSMzrbP8sJ8A+skJVKen7JrrXfmjkoRA+/cqM0/Vz3XFcQH54n6wf1fv3mfGzu7a33ioyqorRddKDt2yrVzbirAmOMGbZlsJ9UJuV/MYw8a057T2FoKNgSR9XGp/a97FU1bPerK7muLTXQhSMP340V47cvDH3QUOZMReHxPQ+24nfVlYIKsKNreqexX/5lxDX8/gE5Kzs6vh5Y8Pw7FBBiu04yvT+pjjfEoUtCTH7kRGN6pWxbpM1uE4ih8nd10Ow8wblALPl1BZ6kKfr7Ui+HcaeC+phbW3IUnLaWAE4xfIdLCeyamATj0owbMOwKHPSC1lR06KeC1JC6fh1j5TWz5gnLqov3TldxP30BT/85sxZtwlXHAs4hDHLlveGPfmcJ1MkXMoA/gFC0fgcP35rd3mQCPr8f0DprwViVb0IF2NkwG+k9xzNpWscbu37603ukQEw7PrGXx7UGZuB0K+kaB6zT9/C2KaQHtT44RKoEzgTYzI3AEJ3e1hHxm+y/i2tM0F2JPOfnIE5FX3rRUEWI4gufhZksevfx7b3tmyqAswpZvqK/6ube+sDlSWT7+m0VXrqp4fcJDkP/6s8G15Dyo8kUnwAWIMvhRRTPcg4BnHU50Y8/3ogfk9hz48T3zy1n44Ws2XNeM0dxIeO+G7kncQxyV3g7wvnLVNxnUDniE94vzozHCsfuGqOegYdiwRsDhQe0hyLPoLvrGK/ktq6IghvWExLC65B7hxLQvDxNVjniGWIBgoHamx/4YT2kF/7MqsK+RflaemmH9/1Te+lGjFPQpdnhCqY5XLuhQwu3c1FFbm6ycO+mzku4HkVuvim9IF8ih3p8/wGfTmzZH+iZG+uA92QGn+saD9f+baTPMduZjVQ7X2e59VIXBua9NM6KVNMp6fd6wDC5lYbzcND6PTVQ6gSIb0fLffdT1hUp9eZ2n1EW6kz3wOz494FkpwJb2sCln5uBH2bvU7u3zMX3LZNA2G9CvguImQuPOcYPKEV4V9auD1MAETJK5U5R7wDNFuBI8PcD10Wz59zoLgHjTo5LrCFRKCTjp1X2bHvL16Ti2MWizTnW6s+fLwLVAa6Un8lwfpMXphC+QT3HO1UOzNseCfFYcsrHt4enptVwohnzqYaRf+2wFddMAOMUe9Hil83dHAubgDb7nHveFncXUPy6yOAegZfaVk0J+Ehn2vh66R1tR8IWMKdzXrchNurP+RSrSFXF1CbzRzkT5gXf8wkN2iN2kWUKiFrGvzZfXFEbU8XwtRZtkY6gkZDXIv1e775tv+EXC/4c4aGtXbRpGnzohgkh3KhkCnlB6CmKyiebP43D1CGhc24Py3+9yLScB/gl8UveYhX2OCD3amcdoSo8mNcBHc+ZObt5PSsl5qXx1oCicmddu6LBmRwmpxZtCzcRFm7NLQVHvnPYO8e8ouz+3+fMiOGWn9UnHzgLx8wB25fFN45EOcKuguzwKboeocQEfosr8u2cM5VmHH7VPTF3osrQ9JolKMA+oYJF3kKW7d2iOO8AoQZUGbZzBin/h/LGA6xUp1c7c1TY/RjQ4QN6Ed+zVrtnyjlxJQgqGJtDx6YfwEGKJbnmPPrOi9XU0MyEDY3uOWVze9352x4vm/OP9ok7vTr35mw+7UBfe75IFoiC5FmrKPee3Bp+5qDvKyGXWd8BvJ+oD4/bsTPtpl8m2z+PIV25IxZheKq+d1aZlzVjedUd7yJHP2jGr3Jk+6MdrPtH1IdmXA2snBH1eVR250Mi85R+3mxzmfbOgtzr5eu48cuUfa4i3+Qo55A1ykINN6zX9Oti79rm3zxwJv3I1/Cy8vE8zwLdHxkVI+J+PdNpIyFM+9hp/mvSQfkjz5VJJWi3Pd7pgHz6b2XlS9QI8Qp5hfadO3gfk9xxEiryBZyDiR6C92yEf3FZ7IrXe85CDPw6SO8cRvbwIbL3cPvfoj3DPS9Z9PSDeboe4bUHfP4lTPjJYo1WB9tbDTrDs3vj6rQQhlbuA1X1wyh2NS8ufovmBx/AO69IAP+JkQ6La/KeP9FWPzaO0kjJ98iLta3m9g9YAdJ3PEJeAoas7iURU9bdV5bmYgZpoerXF/nnVIMBV1D6rHvJqjEG3RQHwKvj3s3sA9smdttIb7pe9eeFhcBxWHmDuT9a1ZxnpFax4tffV2Pj0hsdJQS79PBTwO8MUNF34of308euhwVqCeyIYJ20tRWb7krVcz4235tzm5qI9wbU9q+HrhRuV5O8XPsxlVugkH9u2ic/uzm1vwGPZ8beeN534GLaAQYNKzoGQt0z56Alr8QlamuS/15SusD8ZwBrQ2PNeIpIKOSt4p1fd8RceXkFXOqAn4R29P/LFFA2fWO6qTx3P+xopRkQKeaRlMtY30B1XacRvfT3kxcDOtMx8QCZnvc2clPM+ANI4k2aE++khn3LxYTX/6wxRGyN/5xpwFdZ2ngDgNWjNp51tWItwElbXFPSHDnRrzyXL/raTgOeKGdA11ifJZZkRf74kTEKcDjrQUgNmYpdx/cKNqOIINWI65848S5Re66h9HAv0DblpZbmwSMxTydZUqN3VBSI5aoJj336wKChr6/HbiaKyHsLcxHwkkNEgtkS7Y8bWb4h95f7tpVy5c+NHMX3kRXhRniuOsVllvVCNN52pMys+TKvaQfdD1Nr62u9jpHFu2g86TPBsIQKH6YGdaZRJmh6jKagNaHo7f1GKb8hmE+i211k2qeBmQIUMeYESwMo2P91i0k8dLcog37R5LR3QecCP7Kw6Hqh6Y5hGhDHHzu1VueRa1S7gvKui//VWTxsq6eZYNItk5tUzkuoNAXRGwMPFCYuJVH37I6JbxYarSxmC3L6yXqU/2FPl3qMZT1JfD7erMIoee9pmnc4axy0rgSrQizjraFeyaJGbkMI9t2W+fvUvPyF/9rzbXo4b4qgNCo8sLDgD9mNECHozV5FLK7muBFdJJaJLBfcI3Go8FhRn/GshEnB2036rMVu4Jz4gH5FDZM68s/PDpifJ169cOTAP+yzCKz3gO49dzhce7B3sHHi0OiTtnvAgzd3UOmX/5A75ASY3Kal+mo1+y7rycjT9HbTLj/Xqxl00H4cv78DJN2iaTxE97sz566NH6reWBDvYtXh+UxBfV+y41q/3G/d21pl2q+F2g7y1YtEcCqFyoLlMDDQ6RoE8milSm9LjCajXYWvngvaqSInuSQU57Yn53xm9LGUgc2/mkGukNFo28XpVDmmlo5U9nyrL8d8jcwmiBZFVQfZq0DvQhxy4Wyvy9RX3QZaLNAe+Imo5dwcB+awgFzECYjjE3/l/NdL0gAQBfo85cEPqtR/l6brsIccde+vravsgyU0loVRD8KOM8WrQ9mLRVbkIArFCAJt+mN8Hx5gQ9XHb1dy4NSuX2uZ2rkU1pq/5XxLWZ3WUbgnYUDYL8eCdWp8LXjmT9VX+OfL3+RfTk/PMfMg7i7lgp0U6ohuMIkcwIpl0LT9Ja9DkR0ZXPKIrJr7mA6wb2t/+p2E9yhqZ3oETewI0G1vCFC8hxBK606jd5D6aRTwHdk9cDJDj+1tp50PQBK8OH7cVaIEfsSHx0dYbjWYGdEWwdpNa0Dt+3mQ+BK/6qC1mJFaofFoPp50zJaCdr3hUk4pNSjeaclufKprA1gYSz/0WsTKStw8yuB5eGjt/zSEMeEhCShzBe2PkAnF9P/KvS219TtCfh+R/+QQg7FDa860Tsb2DwOHKQXzCe7wegAscuOtAHkOA/a7wjfVSBawRq8yAQuHutrE6iJlh7/5b6q5NjsBja8kBa3ofb149dNelNmlpfcUzSUPGQdfzecQR8jn61eHd3jctcJy2SuzEQg06FDC2ECd4UkoANijQ/xy+E3LYBPpy4WPmK8TvkMcGOazfyP/qln8AmTtYA2PeCyyHNtFsG+iPm2SjuAJjXprCckcTVg75yLowoKe1nbVyA4yqrB8QxAlwB34nXumCrgiPcD+id1zAO6e28eb++dx+Nm54I9JUsAKBKRmncqy/yjvoZF3kgE+ZVJ6tQcn7uWrk7V4h6xq89avcxkZj5yeY0rmtOE+zyjcu6FtcstDy2lIAf6wAL1/3JWwNqrN+a3yCmQ/afrDzEKcDG2lWeuTRcH2tme5qrrqyEHEtbQ0uzanBK+7Qb7J8Abc5Ozs3vO8ces16lJUC5bnET+CnP4y9fL9vXMTvHoNnCNyclEwhiO0Hc8OQdtuFWk/kaIqrjemYU96rHnj66bbSGz3kibZmcWeyabuj7aHlikBuoXpE36D8W8id3/WAEu7g1z62nY3Ss4X0tZfCs3QrCnjEuV6anhyAWQAO05WSBOKP3ms+Abdx7RzVodk0l70XrJhne4/nQC3h+ThOXHnA8+EaM94m2MOQp/+8jzoSfUGMAAe1vS4bDhopeMscktHn2tY4Ej1O13KI7JwByH+greWXQwpiOUulIM5AW6gcYl+7oKEikYNGhFwtIi4NKJEtCAs0v/Qyi94DPZBSMf1ddto9FOJyYLYPDt+ZbwoKeZMC9pTetGAn4MKfTpbjiUHcpJlOwHPsrKYkM6D9ImVr+CbgGCNggJBWk3n6hRttM4pTE6eV6tC5juFpyaAHzLgKPiV5lD3tvHaehBw7a9DGt4zFIio7+qSgOWE9/HrAHLs2qwRZKtHeuQecvbN9mv2TyBaEYPM3845ajdeTqR77J+TaWA4BJqy9Vo77O0tCjdt552y9YyKux0JMB54y7k05O90C3KeffEQHKvoF+BpStiYctBDEOpIslBVokMxvX7VzGPTpFTRPD39f6AUxHd8OjR8e8JJ29QI47aaggqcb3MsdtEIFOg20XnjPAQPsfhlgnkO89rsaVVl2bYSf63MzzD+0sP1M7gDX9+pD9EiBYpkg0CNrBvy2BA69NDzYANfacul+ZAvKYd0Br0xjBWuCJOnb7zx04Hh4NAnosKJhoEd8mue8dUrQFeq59o4f61sp0a4xf7NNU2IAiQdaql64wqE+/Okl6CzBCfDDdc78sNp5KRDbdd8UEGdS851j9lUk9nTQF9pHDu9pWPrtWPGvBy90VLvatecOxwRJuI5XLRZQLRHJTQ9PpPEaz3hlMTkM8J2Nega9IlnSXlS/7o4dKo+Q+45DAJw6W+RobP2lCzGpag7xENE3201VDmog8nEHjPaBU32C3n/xeamK8rn38eOYmB509hsvTFaPYgt5toVYcPNIR796Z8CXyiAlBWVVNDHhlQ/gSptMRDMXyj0k1GXy5qjT9cEl5BTWPrIi3Mjo9sJelDNq44WIYX2jrno0Q/vJrS/csH3kAtl6slGO5Fb50dP2QepBpXJU1utvKPupAu28a1Bo55CXkFM2yi2fKg5OjQT1wG93nTQvbvPAwvZHz0XGypkXyI5SjbJ8bX2ydoSbM+Q0e6bskJ5ssPVFYTo59rcTRMNSJ5OqfRED/7duL0gNxu5534QExPlYO6WgtEbty/fArZyb2T9vP7LvXb3QTvLrghfslSNq6yS8Vs/bAFr8XG+ylQbuAddxzgq0EW47APdipDfno6QRkLhU83k6WF8nMy3ADX6oJ76FXL/WxoQL4gKOAx9CxM6bVOP5ATohAk1+1b54EwkoC7u3PUA+cKhTGg78ZbWifTBzVwza365o9w/i+rocpdjpUYcKrp9K0HtL23MUvnqlOeDtfb/YHhX6LG3N1ce7m6PSB0z04Powl0TJzZeT/daRkbfKQwflapb3775K4A06DwhwdcBRW5JebzB349IzJQHdDLEInKp99Yz4WTFxnLSfTJ6dvZtZj/1NBtzyEH8FpTH72k9NNoj90aBRDvRBR8j/zsxIoVqatDHgBNyXfgNO9GyW8CBQu8o6bOtSfLhPk0v3VXvgAsYwLeleRuJROaXtZ/smo7CTe/u9BzjvCdt7BmzCJKCtvuuP9wuJJ3zsvu6gh+F5tZ91ny15bD3i1U727Sx7/Qbr0j3EAVMuffFezCNNcz49iN0vM8rkIgS+0X4ImZLaEAfywwRrepMnZ6fkkwvX0lFve2fweXavlMWgbDrSY2dl529w3bdLxfogB+3DF2r9w19rftpDDjjIgEmjQO+aJ+Pvd5mvs+OmHepOKWp7oJDa1S6/yy7zDsgcZBQMdWJ2VJ7d3HAbT8AfaJfZc0vgoWzRm3LAfg1rQUTTK6d4PBIJ4O3T5vKD+AfY0lbY384C9BroROAi57vg4qPq3V09THeyAY3ZB0/47Nn6BMI69w/A7TULM+23cXa6DU3SPLIB7jeZPLu396ozx5Cj6aDueZSeFcRX7VzvwCNu2XAb5Iis1/kZuDOTwG9EEQ66X5/w8uu9ENk+N+WSrUi2PpX2nDNaAXZfm/zdeoyFDHi64M1rH9uv3HSsPAxrrsXKm5gcyIUOdLHvvJLzHfReqq0vPTORGMM844ZZ7zsQfG88wT5w7lWz6JIu6A505LPm6bdk9JMNE8XAlWoxvXrNHvDcZtDYXROB9occkcfNSsTArxAOsIeWGk1F7cwFlrMBrfPkLmHVIALIQwkZy2fmTy7gvG9nDx6ZLgCXsbDx0ZMn9TSrpHnVLd9zzzUKcLzqBIfP+wCoGUoDIvU//BL4xDojLCytRzL9WIP2Wm90rH7KcUoh/jvhtLh53gLd2TrhNVx7uJDn9dffBnIaL/vAfe0DcKZGMk5PPiDMB8jwPvquF/oJGvNedqVDYpTQfo4rp7/TXoTEKR07f1M7aSwRDbhBV9yRH8B9p4nbTCzhG8RsBhj9ViFxqET6qu+F9W/mvE9PEJdvlN/OOV+bOk5T5gRpyb5ciBeI/9tDJSgsC+Af3NbJPALep/smMRJ7OmBI3I4bCvkqdYlAT1gTJWiAIl+aWXIUvfZ7Qdt8CK6A927njPEZrsvHztURG9QBzyHNRjyFIK1CpqSyfSsXtGjr2+qKQgM/5MgY+J4cOIw6DpPJN4Tj4eyAjpG6a2nmpK+awEM2rK/Ue7fnpadSRitsJ4WJFBieKLDfGoq0r71g0VyFjZyS4xhu4Pd9WtC5GXSYLWqCPHspXeU3A2kbQ755lEb2HBaoL8Tlq7fiuto5bVIOqyfw5Um7X061hA7kAatRAsgpuO7n37ou4G4XwI1LadRHMzgBPG9Z+WJSTgr8EL7PN30eTw+IzTO15zHFRLTj2t7GF0YdGq4o8J/7Md7eCeBz/rE2uCtX8Cy8ZtOSX3/5iOwzV32KWIQZVw9syEoP866Ksa2hrQ6xK6hRb1KkBPjwo+KQ76PWyVk256Cf/vRXf9tRO38TchL1Srun9EZ8De9/+zwUailNOZeAVWpDWjwoH8MzB/6z5z1JAau+S1hnuTvZGhMXOOgHG3/9EkEbkAvx0y7zxf9qv/vr3PTuXqOpsnUlJeBubspHzuD9jO1C5frScLuPT1c4oo8cMq6QU66GIGZDmjGXTMc4WEiM77LAD+EZO+u81737Jlm6yk7XlyZSTY+fdXSLytPNPXJ+4QLdGjsjEt4Pg/V4iEVWWj8Rh1alaK+HeF4YolG5EOA2fKk5vkOu+cw9s1GDOGAXuPmG3umQDri3/mztK1euDmI6AQYgyD8r1d8C5Ye9RMCpNmZh9kx03K4AAzf1oFEjZ1LzW0sK/LSz4Bpuyr0/TbSjnCLz3zpnNdSe+DxE766E5165aPc6a2NCCRpPvbQefBvQn3Ct8Kyz39mlAvtScofHwCn441ku/Uw94JAFCoGnn7JCd8TwC6zhn2ZJI8jhn3byaskDjkdyBnyL+aBedZV7yNk7AbGhoscd1sZ976zucnAfjTT2vAPJjfYO+fuFM3SnxTTQiHgQ2+cD4Ev+fPdlbNzMuYH2V29qIXb2XX8c5qIu/lmnvuB4eu2L3tIqQQecgHYAfkojA5ITfVfyy827tgNtNuYdOQl7HhOjlAA6Wu9AlhghpTtDjvuEZxTlvuhs7xzxw5I6wbUUvcfj0hf9mmTD64zjBu9Vf9SbyIeY7rOefGQO6G0+4cPHmsG7tZwX1r24Zv3tehzSqD7dEAZ+YM8uNacrmqisLFKcF9r2FSXHhJwA60vgbtZf8wM4/KtelLIk/SQbkYMGyTLQIDrWT+0I0Jmtd+SBEe70I4E35hvq21pX7iFBHJ0TX1yqqPVJv4LrDRJaYMir5Fm6+gTKfGa9UNj6D8q/+vkK4m7ON20E3GJrZ+LkmwjW48M/WJ0WayVjVPz2UrGwbwZbA2r3srVHnPWI45aT6Gbd2PdwJZeqSK1HsF/mtzfN9E/tUHzcvHr2r77tdTn2OhASqXrTz8D5ARfRmBkkOEKVRqB1NtGj8aNVviCXF6GHF5I2qHFyg2jucjdPUFp1qdAbXcJV9MoA4/TNJKOry/vpxbEfogDNX6Bd6U8xj1zAtvmKN4pjN+wUt33emY/9zFFF5OkiLfIBNK9Iz5iVoI/guxK8Ah5quCGHrCN3hiafRWc/42SjEngbsX59VyqL6Gk9MGvfVLCSpgppO+vtWie2jwRtmPXHGDQX8Qz6W1yJCHckEVkFmM/j8wo4XnrkqVTRzamTbKk7qy0jVxVK1Et6Ix16rfmYLCioo/fffsrSpRvQuqn1eVewPnE/I7LR1stSVZ2yxZzwnYrauXilVL1C+oNE6772yZMNCta9vtcCeaJTO8DnAq7zAjztxaPgc9OgilyrQSK738uX7G7jUg/XhXrzdefryfoDaLfNISfOlSSTMCLITXvCm3Q+xmsE+CRBg9qJM7Z/FmWGbilKH4BJS1YI8T+O/fBZATq0Bz7XXy/cucVcrpNDgVj+hOcXb13c2dmE6RN0w/2I0hBvNCentbJ7m8DtZh3Trdj8mzn6Z8/rrji+qYoLdkjS7Bj9nd3Yeg4OOf0MWvROBscTXu9V8cNTMbrWfvbAwEGx9U5lRGQ8+Mh67GVjODNXfYA2+2D2nNd8OXpjnhhyKX7e/MPH7YydaWt/5vLVd3Pbc9vn5ZH5OE5vttfIgpRdY2r85++e6y3E86oe0xT06weWKZZR+1EnNANmfLL3oTcE8M96JK9hrYpS8SCrZLuAptvkrgg0LNHXPjbh2fOAVCikCSUvHzJR+xxyX9ajp9WRUqj+KPAld8S1dG5Jw93W9g/anobaSxPqAS/cGLcRYkOMmqmhe+EABvzO6gEu8n/eF2BygA16az7WHC/b4Ai8EpjU3voq1zGp6j54qxZVgE4vG6nmnQsBzKy3r5pBvyRNFOyyoXUPm/AGvCvPHDfAkfjgkNOBi0Y5Mn8z4mkU9CJSblVEAem2HhkRXJ+IaAcY7+pDLtSWeSuvlOuxydce9YKAbNqY+dMD8Plt56W3fHAP1Zjdq4Fu94sqaw46vV9vGgcHAoWvPo5v7a1ZY9+hn7rKI58K8juOgpCzxt8/1xn8vgdqhHJbOx+vBwxYAbHWwnWkpKd3eHJVPbgfGRc+78IfJZTVCwfgbx6s+/z4cfuby8kiGtaGOtgle2EI4xBTumg/qnyt6kScGTNc+V8r4A0fgDefjCnZMGT0iM6QoSBf2Xo4YT26PrkMfmjyNcPakaV3S0D7nbVDpj+MMvosR7KF5xMpP90fC/7QqB0gD29rbh5iNMj6Mx1FtOB+jVhPbb90CFyPZyztSFH+nrNbrQG6q9+7/UMbPBPQ+4BhD9sL8sJeyVcPDu80d252tgzbO+u3+vRufdbf9s/bDXLnthpVdOBf/jF6v+880IQ9YJkR3/CdaeMhzkC7sojkMk5nmy/hHbTwPr5BR/kHpl/v66NJhK3ZFGRAn3RYhxWsk3ykI04MJl76xgxJKmN2v70gCKHc6nADmsWH+B2BrzuA0Tw968j1gQ8V2GRPyOXA6ctLA2rI1pa/vivj0055zeMg24Pu1A20Z2E9FnTEg3ygfu1OcdmJw94F7TbY/RbQocjOCruZ0hCfJqgsx+xSC+vFMPWgJVUzKABpUAM8oHv/bybysl9MT4Zs1u4/O3Nr1Zxup3okCiOqSm5nr14XhdoDFtZjSNs+qbcmCVkmREw9GmruLM2Y7nFBhRjV6QiYViXNpepTu1/4s1vQqw7W1SL8PiT9ozKwehOTAcfKfv290L878dvvHegh4BYD5JBUIj1DDhPEFfsKTSgfxcX6fxHgvKCrEz7cznRoOd+0Dvmdz4mGsndfdUSSeuYTgzqso9nJx7ZQsfsBz0PmozrnPYJ8k35ALkKlsP6X+gC42wLf+hEm3cIaLYADPIhpGXVpZDGkSci53nzNnM+uHAF/BvflA9MCc51+65SZZX/capOT7XPXBQL+0BLgnmMdu1Im/UqO6cyZbqsNyqoE9ObIH1y6qzoKKikI0yN2WTIRagT8noFVBdjY/3n3KdDbnxKoc/1c33D3Hy/5qvtagd69lqxZ6r4JSm8yuMdBBXHBeAD5h6Lat/xjC9o4PQDGj7X/b7XzyErK5gl8/lFFxhE+tn2mr1pH20Oe8SGAle/afdSKPAH3/BC0KiQDiDfAzy3+WKvSs+cxrZ0P7+aS2HrasCmiR95rxC1/lPNPtTEZaJWQoa9Ab9RDxqtV2ZvXMyy55/p5pDbUegn35gY54xN0apIDpc763/NFcWRkgM+uOOjC0t/60rQViyYp4WeRw7V1+gS6TQBnEI2jg6ZvZ+FH/4+pc9tuVVe69StxMGnx5cBGYGxEEDqA7gC5hYDAxCY25ul3Ket35r4Yba025khsUKnX13WoulIYxXzlr3Mp/Tm0KS/Il9mHlM5MTJ39NNzG0qzh7H1paphSyOfAPFdJVdUAW9aUVASBz/+aac7hv1s8VlaLcu7vSF8ufN9eEnvq+UgW4gavOEywVmsd6rZe8Y0FGjzm5mr66gG/OJDXJbDpD8wrjJ35B7zxHvJ6lu/moQLGo5b9jff6DQt8519buwZPSoV9UwjtSPfvroQM04C89mHXs77cS8duIYesiSs1eLdVjBevMn02wfTB+G2yob+e1vYC+XRglufTYOub/aN0jxZpLcfGwjuhs7sYJ1PDvW9GvCF7v2I2TxjzXue+xjyISa7jG3eQrEb0IBY8o8aoHFtaI2BHYfaRY7P3tjnakL954NV7njbOYmrGTNgib7znCxm5Q/vpCHPsAjrDzVqKiOKhpPy1lhKTHmXKuVm1mD1mE8pGf6IiXkBHipx5pfraJpDXS+Bji+l+pQMxd1htzolfDVtBCgLcGncEcZ1wvy1d/0cVSkAsczVsr8yeXp5okPD5J5e/sd32fmaTx5zZ9II+JiG5VeClMJoeDeVt8tx+sx5b9eqv2I53wDU2INcd9LUzlQhMH1Hwvw8ZEHNuMqy6w8rg8ziaXvspJ2xrzBDwcwDc6qgvCjkDO+iSRpmrGMwTfQF+nroEPFcalvbJNWfjkg28v15ZyV0V2AGNCs75XJXDtFPWYXMu9JUzPMsu8U4O/5vLpxW8ndH2YqrU3gfSlG/N17vZcQaeeVyV05i1nJQ6E/gM5hCYz8ryHtL57aW+aWzN6e7dpVZm1/ryEMM0SDF9n4PWyzgW1Fled4qftGg/RKD6xon9c5gtibPxTO83bPZQn++WEBcLfPgG+Ehn1NxLnULwrgJm/3x6vns17eE5Px/mRpgaD5bpO4PdZiPY1gGv5WCxvOYXphSfBNWiMuMB/AseVlOGGHhK4znSpuvvXMyRyG/L+etmev68Nav6gMwygWeH8Z6qavznpYzn9ZhZbG0d0NcrcGRPQ1Jk1ut+5W1Du+beMP7dwJhmbjxVDF+zlQCvE/i8+GHOEEm2fIFuP48uzB/B1nKMjQeXhKOxNr1+Qu8Amn0A/YjUWNqpSB4VsDlo2CNH0+vMUlSZ2sgCOGSIpcmbZn233pOiZvNScT7nHYy1CJZyJG/non2Ab3bztYW8RyBmFlKt7YgD20qCeDg52x9axBlwZUzH3ztXrbmX9X/PZUneOjAPYjYcnpAnl8ppgX0JOrmm30d85yHa5VbjnXc30AXiA1v3FOZF7SJi1nXP+bt7tMgmYXjHtTomA5d1x8z5lz0upq8c4RfPW83KdVoENnjz08lWY6WD33plGeVp7izf2HlcTzYBnlHxefB+qpFkoONFLi526cYQfc0VvNT9HMQ6CRafWTDDGDlJu73Bz3zUnLx6fxxVeNvUrLcqu3UbjoDTyEid/imteVdF7QX8y/NsepyNqif99qccdNugyfToA62fTM94LURsgXZ+1ZTbpbN5pmKqSt0sStweR+fxV/fbrEHi4HOjwK0BZ00pa0kC2ko1D7lLvmHsH7zfrGfaXs/gVs8RiapgCWukcB3MX3TgTxL+9tR4NgUCNxDzrIgf9ZA4wI4iZ7fXZ1GIuxFH8SJFYMP7oQ1tbeDTjINnSfqNzVwpuBl3U/npf/sDbymTp/OYOEfrYongcIexebBedubOfTnynRjUKRvVERikwMHyXz0ix7Kq3tyrkR9NFFhUy1Ls5uJ3b9pCa1VMZs/6DmwOc1T9JJZ3MT5U7jnNHcvUq1kVW3yFeM77iQK/okyYXgGtyTcJeLSXhx0bpgL+3D6FLiEeEXCpLap94zWj9k42gneggOklIzrmVXB5Al8/6tB65q5/h7i2uUYr6Vor6VEMPjSHMR3N+ZCqU6QRZOXB/PqsMheHRzn68FmqPVrgs8AL5Hxy6DCDXgUbiPUHZqa/KX5WBZ9wr+8Sqajh0qGrDKWjJQ9wlWu5S3oMIBJrZsV7Gn1add+iFMX/3fPt7Y1yYyTEAj4G8mM4ixRlz3KQX6WDbN4jlgYB+BOYP46pGaXemhFU/DkfIE5Opdl7KkBpgszU/fYTDn4AcmDpeBEb2Uba+nWOKClXzVQ4EYh5q2a2oJzc8OAtXJT3M3C2sts38KofoK8bvG/uFP7+aGV3RnFv6h2nzH4r+7mnSOY5+rSPkMVESDrQzaSy5Jw7cfq3D7uX4VlnDzXo/TmUY8l01SC1IS5ilSB2tvJ7aU8iL5IH8MaaBp8246YvMp4k/1wrgSC67bwegjt12KY2PgjmWbX+u9Z7NYIH/Tt/CPyhq05ngsYIOKk7az89D8kziQjEQfJUkX/iK1rLvneTkXzlg9wnVumQKC6TYfuRW3jJXR5JG0+5i5GZP7iflnxVZWX6sSL92qPvyoLY557fE7Y9ZWK6g2d8MluXoNf3bMjWepxM3Slzds30m3FE/m5hFHiyaOfa+LNIPQT43ybAnLH4QMS7XVF8pDaI5XN7Pf7Xf/nLnHHH7uWZmPN1lP/2mMzDbE3Z5AOvzeC9F4CZXa3BU3zNEKPElS7GpSsrIqYc76Wr+uWNUgQpDPjGzdy8n7Lc9GJHwUYNc/HSeSawL3t7bcLHRkWSVStKM53YcpR38OkOLpq77JhTFwT4zJxtw6cm3NpVgL8anjwyi5SS+1ru+2s9Bk7DJgf3+NL0W8mCCZR4etVz2OGenzKePZqgFfXAbEr/rbL7XCH2gjMDZtlt55TNNzZy+Dc3Jw+33xVjEJP4xKyNuYUueRRbpQWKOiwJ8MtE93ySw+YqNV+4ft1dmq/J8905d+SSWC1w3uZ5HpAtivaYBsj+XesHHsrMvhTDprdRK/j0A8+mTQ957KgRO9mTMOBb+s9jQbahfftNLbmUNnjZvgHilC8WhfiSfTL6GLigVPRzyUxfTa7ZCWheaHQB1owrt900AvTVNveWA7s2d4J7SfEoReWoufpf3bSKRtJhCC11qKYqOJha5GXK/+vJ1fQykKZve4RCEZpzPIm5T3hJwZNnA27BXz9h0Fu62+LE4jvI+2sdkY9aZ09TS5q7+oeG/MjCrSlFu8vZHAHP5pXLy3PHMfzblycqztFvT0nX1PA4OeAJB3P2a8swVx+qKJ8Zuy2Nix2Is5B3cV9rLfPw060pgs8jp9xSMe3875pmVxZNIuslycyqOW8j0qFe6OZ1l9OqtI6ysbmedXuv7Wwxva+UNcFcIUslEpf3nxbZvV+Vq9JSq7C2zFrSlCdUR/BcARvatgbtqEFTMEc70ysJtMeV+RZyPB/z8P31We3JuqwNxAL4ZnKmcUoCyMsWz08O8KXVXnMub7WYpmRoS1aAzq3xVYSoMmv65qxUHnGrjsDVu3qTw/jAd/gxfZpl8bnmEXIhN7+0l5QMzXng5WUxcSLUoXYUA31YVaDAq8F7CNSVODoUAQRMEY+gIyHkD5s5y4n17NmAHgmN3d89RyofNYPYGbERcUlC8CLh9nUeYMFDrButymb9Xdv/XQNiHTJ1rk0/w1KiKTzZOgNVaWtLi0yXj3OIrGyMQT8koYVe6IiHhKkn78gqi3+me6vPO5TnkFvqkL/2HY61aH3az3sm9NgMmnCxxArhSYSm18y7OdMpIQdC/JMgBx0qbX7I9/gtE9uWDt4K47U3/bYhL31xt12a9XPlw5Kf+wbU6mA1A36tfYFPbZ2SXVzgFqcJdEJNjfKe3xpberkdOPA7wcWZtX6+y9iyb6xpqRDekRFnOWebKvQc6thvdaEryEhPpf2fdI9vZ9GSXMQXxqbXHqJ3tBtgqy2Fd/mTROiSO/D9mNfn9qclenwvB1N7EjigUyIZYS7DMxuJrQIem9KNVLOH6V0GXnxlGkiGm3VTc5a6vROndzD9O8/mNFxfwHOMmY5zVTQu6JKTIj85h+BhV/Jdgd4lgb1vwuRarmSQ3T+g1d4zF6qTfbKaelLA2ENKFcS7XGTY+qmQG9C6tuwxxoH1Vzsd5pZ3Lv49QNfg3egCcogtgHXU1/tdrtk9GRYGviBI+vhN5vNUCn3KWRxldvxRfc3Asbo0azi1rTJg8ODMyaay7AfkTk+yVlej/+pb4VT9An4Y5cpqidJtClrhQVzGRztYIeffUuCKxG6fGZdLYvspD+w3BV4NR/wgTZ3sEG0Y8C6jbVkJfKltHdXCdrIujkghgZL5q55DS9nE4ec8riVYqxlyUBsCU7U8mDBlccgEBy5Tc+IsU+0kwAH+ZM5EiAI8NPMG1eGn2Jv9aL2XzmXlSH8BM0R4BJ4IPdDzv/sOV1D9WAz80qw+q/efVxKg37pU0vldSyGQC33DUCdn2iT9whNb3+D9DOXvWrmfAOfZQuiBFrhgQWvn0WHJnRbyR/MwtXlqpuX/fdamDsFTc9D1qL+berx0r0JuTV8JcL0w9Qvs5n89SuypIEM7soFoyfRBhOVdOhPMInLBYuroXh4boR6mL6Ja9aX6rd/OfbIPXrExpkJDnrAsFS6gzbGQqw5gbo/AVzDmNkvz7WT2/8uxjfKifWv2n/dzF+9YOEeZRruTxY85zOVmT96aoPRUbzkYqDSJmk2a37z6v3NExvuGZ2aPeXG4n1y1OWtglMD+wKvv1tZtqUIMuQbmRkC+TK2cnKsx53osxWxhsZ3VONnAOA7f3Z5nyhPwRQvwXsZRsNTM3H1mL0+EmQVe15IeGeOSAXPCtJnyfHsFXhwwJaHqWioddM8dBbyBGQ68QBbTjurpR/ELEP3twVfNs1GbHjXH2kaFdGafIHWlwsvZil/nba75GAd8jIGHtFnzuZ6sm8e6ZElDmWA9zZCXxzrqwed92lU4dSJQuWCgjYVOyXB50LHdy0Ka3rUw8jwpnfkJuW4Bf+ZCvCRs9V9nYPa1zWUekIWwFuIaxiOcIC/5H9WwMXf/UmBhG1jkCPll06zAaQwvDcRd5ZCSg8ciEYIc0rKKAuMjjsAzPc39zHPYPCAeXYjNF/duQBfuZcEFCx6LHLZfUpMPqvUd/OZH4/KL7JCgwwRM4x84qJNgfJc788JWWXK73dSOdjJnm9VaQZiVK3fwLdnNB27hC+u9Exnm1znzuQq31zyQuybUUUP9I0HAZUKBr59/z/uK4Hf/VKShEubuI8y97hyQigbbSPDDcqbqYs7YNIXf5aM5I5w8OZoyiF/I0XGfOMmrN5yTgl6KId6bXk0VU4RDNDSDWoH13Jy1X01hzoyiMS18VwaJTVefKPN3IQkryAl49HnZg/9EfIUYX4jp07bGPKHZhnNSlqP669nKVh0Dr5ie9H7tyoJa8ZE7S4K/zDo9GcjI7xy0SQRxBjpyFFHmqVEu4B/NPQCjK5usb90KoVMdmhp+UqR7lTPHy2WANcTW6/7yBnJNyFA7KcjZpm4BPJOshaa1nTjAY8esLx8VR11po0fDvLiivll/oGe2oLMmG4KIcx6z68mNQ/DQK9u3j6ZTuHH6VT3nt5N7+esRn4/8qy4gh1pxiyno1KoO5xEYusChGmOhRj5UgXTKr63dUGzy5VfTEdSwWDYj6Aeb7sDgJAkfdjW0iMDcPyOfnBnk8gBDniKvexwLPO8e4i+sCtxVgbl134JjmlbwAewMvqZm84Zb1oaLtmo65Jh7VzXyn5zZvgJ/B7n5p1mTq3TaLgd2acDfS1vucxCOrNc4G9Rr/ysydw9IoDnkP85AdUnkO5Xpk+xI08frIxO6k0K3p7VfVH8xta3hWcuNXNuBdHwCXokhx7Y1n1Y88A/QAC8Np5gHfEMta8UrP778csLw6Wi3VDkS/CJ4weGwkYFhFT4wZNaRG/vML3fTe+/kfj64AD6LMlcAK+fBu4styLfwueDhSface5gHD8B/XZk+UFR9iFGmfwxgxwPn7a5y2qjS6HSG2AJt3tXONNU9zwVXES/+2ZyiC9trihH4b9TGsgCvFrQpK7hskHyTkaLcAU7Yc6bcADSSnEQUfzTBX8+FC4G5xIfmmoTTKocpJRr1fOUJ+FAkxBZyCBGQg7nYkzBz4k0D8Qlx+J0zvKOcoKToXQnMTsY2F3tp1ytozV56HCly5qbninydZ7uDsF8SKo+ltUT5in/XppLVx2nwe9fO3NfA2XhYTO3P2vWr/OsdPHBbZTQ2LX1vVRFnebBdKnMWsPcgH3Pget3VZl/8OR/ZgP7qOtb7NjlZyNRC8MzaBPDKR8MlwzCjjNYm6HI9uuRD9nyUFjB9GFdinG7nvf6pv25OY/XXSrS7JAI+7FVh7pvJwfPKwauSkHzXq/w7i5UX2VrabUo1fxLBywaEJRPeUkLCZMW0T9zPTYrw8ffe2/7Tw64cMNelGrwTL/yysvRd2Wgov94fjbVszlTmNFQwEzHor/w5rc3f3fbENT3oeUcZcWGOX+Xa35n+d8+75p4H6osVWBDqZ9jW15LyA3jNLrf1SCxJjGdj8L9ijL/JqCbsmnW15M7BtINPhlzzzyod/dINjh19IRGzG2tOIEpEGsSEuTGpA8Mq+huvxPT6o5DfOYe8pFa041ZbQi4BlfaP1eqDNmRPbk8PoXVJxglRYO6Sqxv83MdZx686ZuToYp9pdSwdb1LR1AHD7HOxjNKefMj9cWJqjYj/Ow8VTQ/JGqu28Aha7vORM7knE8wvU4O+B15sU4EhiRLwstvQ3KXIaP9at/GzEVcVs1c6yJ/EbWPgKfDefsR6DsnQ/5Gmfqkz5aT/fJ4c+LwieEAMbBJdLpJPPzgHr2P2IfakIqBXxCJxvkdvZ8PBFuQR/arROn+RlbzRYkp5mF1za4b8MN+VM9tqmPPcwnbNEksJ7PEOPMfYwqzwAtHFHYzFAw8S3ou/oUIVfC93VGzHkzVZjKEJNM9nduxTHb/uqPrS9cMKuAn8yCll81Rx0EbX9HOYaA4xxl18Au+F633cMtBasw5+Difwvr2VW0hWbLaygiQwnPs6nD3iHJ7JYGrjHp6yaB+0375ificC5sC8a+V4seHvH9gydQCBRB1szvJCzohRXvgh7hGC34mxxZ41A7Zj00fFtmbv+sFGsqc9xEzfyjKfx8rC10ZPWMEsBc1/5eUiDZpHpuWpdlEMjPSsISqyfllqsT01LjK94iB3g++KSCf3fluFhl2XBfx+mKyqpZ3ulWX/3znLi5XwKZRA4yb+KuviVf/VI9qD5xSqIzEJPKcW4N2/5re6QxrYHHxmdjUvp1p7yEjoTSHfroNlolbiKN5sEoH6pFBOtvbeOZJtVhyWtMCSdepeu/yIXfWdoPh1FutI2Mwyy3qC5zJ8fQQXmoIHikS43eNgis5B8Mz75VlRVDUFqOogb6Xrm16J19xZOHD0DVirStGnoxAH70zAb0qPAt9z5/OO2fblv75EJKk0b6OQljlXT5k3mt5HLMw8EK4L+OQd572brDohq+Rnftgka/IkvKUJ7Z+sj3PwaTRH+vdcPAVPrcJtlpmriANGzYhe52BPki2UWO0XG1r+2xNDoBI04iA5+aL2xCpTj7QLrslKllQ8NirE+4yrZ+aUGxibPBXZIoNyzQM7Pu9LrxZ4qhyT60q3NOclwlcfhLnK+4uVixklv7Uh8GR6PZ0Dbw+eL1fAHrkNtEP1jUNeS4OlbIQ5ww5jG/BCWWh3NnWSImxiwyI9xEuEFuWSQ/Vb2zT+kbx9raW8iZF0ipseWCXkt/aCe/7BIfum+5ZJGDNqX9ZKKDcViVWOpS3Qvw22VHdasw3knlNiH1a5236cntsgpe1PYuq5hprVQew1u3cHD7dXHO4UQj3wDfh94OfAfuahvmU9X4CbQYsgTyMZUmv+Br9xoiieVRA/IOdeCCM5ePk3aqkCQP67FsSq9eTUEXNK8Pjn4eYl4C/kf/tEKegh6BSnpm5ZtspnFWxTNnJHhMbzqryJUAu+/qLCuAUefgjOvxse0999Pj7BlIgnatZArI1bR5/WOTx4SjdPSuG7wnhzQV5rRLgKsMhHfK97gkEfKC2QIGySPILnEBA3ghxY1zxPK7Kww9/A311BX2GuTqaengu5l+VDDD5pBo6YXn3Ey6aXP6a3AXix1x3wwDwnsHFRDYpnA+RHN7lmkMOPz3kwPTFAF2gTTOzkNhtgvpxYF1PHdsNc1LExfoI3jtIQ9BI8ETD+SUAMUae1EtE+VOA9Gge9POw1jeQN99vvxtkuwFhAS5BKIA+QrjRn9UXF8R1YdzoLO6ndqQRPcZPaZ+AR+9pBDGjCx5Z9EF/vHg34yiA3YxdZpcvcureHk4veXhx13m0TyDV2aW1/uDUPJxtn4NF/sg7ZzJwnd9s9Y0sBfj/LQ2lltvqAPDACL+0YPZj9IkJG4LiRfPMAeGPfrr/9Rg1XjcSB/Ppac/DwAAzQY1mFxIZ3+wX5Enh7vtCIPyjDMeuIlewDtxJLXkdqwcH7hoA+ZC5hZv+T9njCqzop1/TLahZgc0L7/glxdCl/e+Qur/NRdg5zqCrUDtvTvQoe1jlYDhzFOO9xWtvZhiIilamDBL4UPCTmq2/6qDLgXAbvJIPnSai1fQPkt0VIorwgD/K8PfLBPiqkIWbR63xvW/WBqV30wGvjnhmp+DB3bJ+AdpOcwbxtdjPkMuUm2h+aji0iBP0J0Q1y+2LqYcNcO5YDAe7zgffY2ljbQxLGLOO+BI375ZT/+yymnGWuUGxVGnS00JEQ6ADeH1izNe+/hXw/N4zojDaP2tnOrF/SxNpGph4sFnpIIF7Lp6m7goeq56ZpzBvl01IVck4gr0OO/dvzrQdFcIQjIHOYK8ovHe5xy7s3Di5oH4Pn/rTKwQ4kInkTkKRc/8H7WRIitpuyj6smIvN570vcEytf4YWH2zu8031JwQsL0NF+/uPeiskDdraBuTUBfnQFjV0qB9+qNQadwc+8SBbQsbccKYtS/5szNJYW5EaNMOg8/F7pY2HjJFATEGTQMNvwlFuH7Z5a5vvOrzXzKisk6O5CGVd+XuA9X5UgIw6wtcTE5SdpBw/gRNT02Nz5tjE1u9N4JkJPyegXeUdSBdgkxRxnLtd1aENO10fGJPiET0ty/3X2wMoh96dF7KXR510MbKmANRSXWtmlzU2vqpAteFiWSpi6APEswdvh4t8iAs83BU1rxEPIKzKH+dtYbcICbtbyv85cR5nOPDAzr9i4ZsB+Zi+tLmLjBzD4YJFw/MOBqwAkDzm4bcb5WOq4rO3L1fSA5GyJlPVpZ9ZUgg93IQ7tI3CMNH0VKS5q4BQ5aAHP8K2Y93/rojdzjscxvcQgrk7nkVv58L6Uzu1RrQHkdNKRsDWaHNVOfzULipAvnmxMHrlt6mj2C3g2N+OZi/fEB789sMBLZQh+qJ8jTuMPsv+r6dRBzq6UozRZM/s8oi8YX69kHoZfc6TgXzCPwzpCnugnIeGZTE9mtdumuIgvaQE8JGwBGjgluv2Sw9LjkT3Bt/CsAE9DIcsFf/0rnczBhIafDguYpXpJMxvRc7A9niP1IEy7vEcxH0jKmOcnvFx4j58qImZNackj/6MpfDtnhJgam9RVF27FWebYLO/akbr+IKL+NV6SmHscq/IaiJ/fu0oCRVXkT1J4NuTKb8ib3cl6t9Rq7mb4trIOD1M7QLEFWNPypNYedaZnvvIPJm6bk+2/NX2y0NWvIJ7he/7VW3akK31OyVIzDHMUOGBApWSfDxUlT+W2M1vh/XEZZxZ+gB8+1Q754mt8yZnXE86cs5AVjGEouFoqrRcKnp47c3EGP/2/dba/cw4PxuMFGKzFvI1N1VwYIVML7sb36i1F08X0VCXOXHIYc3OGpg4Qr1C/AZZ5VAV/k/A8lf5nHa2FU+BGPqg4QWoBnrhWjO9xr1+6wZij80zoDR+VxCF4BYQgX2KYC+/AsBMjRQvQnFgJeK7G5j8M/D3dzUPGCMw17CUwq9Rg//5W8HqnBsnJ1NsFDerp182mEXpxVAvxNMsuxqJol2QsrwqU9Girr6qP3axrTbUs6+jqgWj9ne//mbPxThrKQx60G8q2l5Ozuaa08Rhi19JGEo8Y5irH4NXeGksWacRfuvFb2xn0luXMDhJG7uY8X0Zjr+aJfXLjFSPsp2KbZ/b0A5raJoKbOqq3yuFZPSy3xNk8sYW+80HHXPQL/QJWdP2OA7fJUKfn8O/s94h3WycN2v60ajc1fZiL1gXdJ/kgnXxVThLxMeUxkeMUAesGpo+d1MQrB9mzSGPV8SDjUyEo6IAwtQO1IJ2Gd3Uwd5s5jJl86UZm1sgLH+FwAU+qIwJzpCxUa87fnBz1kTmxlTmBx/d6kisxvVispotteE7ExHIHvvtuLHCwLvi7vdQQY1bDiScGyKmdP5zW9qXztyqYwTvijxppv3FiLdg2BL6F58dtbR+ACwmp+/7KootbWu0JPIxTOp8r67HNXaLLIYC5DXy6Nw4PvrtGIREoNPVwJHwO6M1rD7E9udgG1pmrAQ9qJLnpM9rs4xt87om58UM9t18lw5FclU9t/1BrSRqX74R4PPLO3EVGVc3jW1XgvAraS+3wo4pimrkIxpWI8//HAOAx9pnrmzXIpNn7+9IhG+DFN+DFZx1NV7rvrWb183xPFsxRlDIUKgp5zIZMzjwJfFLk6GD6Y+4acHG8I27JezulSJyc/gk5+MXYiAQa1TbCYpglNt4b+EMU040VuMvsODJneAVTY25pTkVrejofqz0qzZiDpnXACT2hMmWWvkkXITySubTlg4OXKV19BU169QyyxLCN1Z4klbDtTPNTrtUJfJRDBr4Am6180FcRJHY12FPZcVM/ZKXDYqvfewtE4ODgnDk6kMD2pcX9pvsEfm4/Mu1/qOFikX384nkfB9IX8G3OwBHwkw7w5066oMdjDIw/M9C5fW7WkHt+k/vSZiJ58AH5wI9dXkxuqXVHwVmDTzY9KUx1Rg3vc1CmTu2wpIz/e51p/6qGGH6emDOPXTZMh7M5172XGOZ+zPbY9FRzaQB+ZgRfyf8t0iabZOQ2GVGCR5k06ODScALu5gH4YUcNhzuwusX15z3Nt6Ic+7+9ANDAqSnAJbkylQNusekx6SAKefieMo2IeF8oeFXWl/fS8ljJ5mdt4RVkZoV5n2YD6StIR5RJD/xTkFmmp7mp28G/KmbO1m5fa0QlFZjV+8Nafm1NTWPg+3fgsM87eN4W3gEvx8lhYVyKfeDh4rKBeebU1pbn+2CBuNsBQ6wYvFRJUX5c/Sfdwc/bUvCufNC9JrJvXjHfK1peT6uKaip5JYA7GbpUSP9KCw/1G3P5klBCKy6Lxtk44NfFOSS7RBBMe8RLjQJpQ/wNMG/z7T439T7G2NSsM/UyI2Dzv7nMXTXUbtw34RKddXwsmekLpFs8gIcpyBsLlg/T/5XsfSvXyV1E/rUGowDf0SvzLcUdepieR6CpT+DBhdm6rQYiyR5A2WkR4fp1bpnmFgF2NL3+VE6C+J6HmZc5oOsOSmornmtbW0rjt6Njg857p4Sa+rfZgwoJeVgeKQOPxf0fjPw9EfOcj3507lpfrgn44m1/cqZXTslA399+1yeAt0o97UyNKrb3Sx4yGzz53nSAJyO/4jXusKnPa/Eh3cv+9JwXGdgs2W3fKsruR6ttT8+bnX9twVPM4M76K99tfyAvda89jpLyhD+3BTFn/gP7ae7wAKv9EM0tQv0RfK9sEJ5r+s/ONQJjz6+Qn0ne+VUmNg9g6rHR8i0riKwt/cCILMTM//2n8T1zOfqvM2bFeUBfkLdJw3VVOzZwtfpgWoI38o7n8OaCv0mTIu7B2yJgo59UoBw8y6kOtgjzKQfWeoIJ2wG3+zDH/CpUNvivHem9nXLAEznEfe0h1pC5/ncnDj+pO7mmxg3V/o2z8pH3mw23ZS9dvdQCfCnkqhoYwdwZ52Pbm/NOtJCJqR+suuZ+dOalFMuDFPJbmnWg53ZJ958v3fgdR9ApKzc1Irv26xziknQoU6N0Gvd/94tq8FaJM33TwXur+tszD00fqRg4lsRJL70a5jTl5Aq8sK/t9oGtw7MqUMKL1sbi8jq/sQKfCuCru+k7Lig2eeQ7Kcy58vaDjv+3//+13WViDjOt/TOHDOy2TmnZTzFMK3jcLDU9JTUu4e9NAegNHkhcI/JId/Mbpy/uvW2qwG6z4XGvxeNJ+xKoiZcYcgmJYnGGcZV79VBivjfWAuzkxTWNL5m4LcSZnPPXnFQueZb/24PMTS1nSoG8QNpM3Uuy+h+mh9TL6wEXlMBO4CljkovAyfN5zKh/NWebqGv6h8kYGAFc/zavCk3Ic3aZZcfmzvJxxZujG0cZvG9TI6Wipu/1FsYWfyU6cCoep5X+W9/Yq8D+glzlpsJyM9CNKtz6Yrf9TlZzL5+nNbvBXAkgv5KddA534IWW6vgN8vQAfslNUNwS0Hnsmnr82IFx/WIQ8xUqF9JPH7X7t479RosWMkQMugKcu/q90rEraDtX3B/qfWYDc08510XGliCjOAO+0Ynz6ZKo2dDunycH/g1eP1SjSk0f8KPDH+YecRUmq+nbjSEn/p2rDNUV+OIHPC8lnGzqvvWkZe7mTSPukmfuTloEuOCR7oEwHpU1MWA6YE3wK8CJpj+MtMsNkIZdr8jcU0nOqOXS/ryTEE21jV/v8MScpQJPGgKnBqU1x8BFizmzWTK94wieScBccOwI/EuYiQWBd4jx0LvmPjzkLuC5bdKwxmJjYJ+Fx1mAvHyNHchHT15gDwfW60ygB/r5NOdTK8RxGuGnEEuhQvTGgOfrwNT+52FZxAX8rqXm0w4POAWK2gGzIoJknxdohnwW17bcwXyYGuYRFbZUWbJl7sEixd+aXgypl8OznJpC35KxpQn3Ce9jQUfkJfwT+NvUA/FaHpFH0jXPsoPPLS4r3UNeBu8vjG8d4P2IJcVrS6TpaR1Np0aDYuvyAV745VMCtmYWtcoNsG5Q9f1dgCHLCnRX7GD2FjMlTD3KxwaoFrR9O1SjyvNgSyD/zIT7k+JqUMEFiLaFf9fA98Gzub8j9miGnLnBu3n9i3kan7iYdOXKt8aVGe3broZcjYGVqkgeeKfSozU9mZDAUcCxSO248/6sqC9EJDVMQBtH2Z0ObSa/5qgcL/e80FG6V4c8PGx4sLzqinzJSIbgXWAeHzzT54OsyIY5HJNOktr0jBynMhX4LRnaXPZ6PILXEHt5Mz09gCMvmTXl4M2uNTW1fpGrtAKBmGGamH6HKKbdXw1/0QygqZY31RE392laGWFOIt8DBlmPLsqAky06bK4nWx/MfeAc2CWN/KV+vjsk9EY5Hmw8xh91QdrMjWfzztNg2pQscc9UZudwesUhAQZJGUOm3725a+cnHAXA3HkGCZMYnXOWD5hLTyJamxfolq1xCd5hNv8+ETFvhKmBtbTVqlAF8Z2CXqh+zuSIrtKs1Y5/ddr73NFDTg9LHs6jdP+ZumD3zC5tGC+piliYnnl0mCoC/qhccXJamQV+pK976eer7DE3fTHmnUC/awE3k3sqTbQQG/voeI+S//VCegPeBc0iYW37JdttwRtf7KbonyX/rWdyxOHvuYA8szQwCAHNlCMfgxVTJZrCB1/4z5Urz6WNZeX6C8ypTd2Ze6MIy/7TTsPldT7KqvcxpWHwLJ3yjimHHDm5jP6e63MqcGRq7a0UaZ0KGWSOd8+EPpr71VWkpYymSAmZSX25VvveOzneb31fHGw7YB+v1v5Pvptf/YlW0+sDW4rR/nKlIXMY8i2YYgewUKu01Jix7Yda/4Gnmg6U+/sKKaf8mkvwSDG8M/hMfwHvIphA5kyMRfkB4nNruqbzBvE95Pe/vpxVx4vS1oMMvcL0vgIWMfcNrlVo83PUQ/xNlqntAnnrqPL3K494W1PuNOP0LW1/xGYVz2ELKFZKh7kFX5H81iPq/q3golPyH0ch3Eku9v5TQk6APD+Z+vNJuDybvYLc8XgCjz1pkFiqwM+SxnnF5vxo2Y+jtbGBRYJkNf1/lo7Sg2vOHwBjcd5vNyIq76CRCx75K+YPJFy8KsjuwI/AthDj45SebHKqOkxyxDYVxEE5Zmvm4um8u4F3QFkyxIWp5wyatoAmxXnYVgQ8OdVcKpGsirfluY+B//Rsena94vCsfVK5Om/W2Jf2wTK+ETy5Bi6sVJG44Am6PPIdCbGjTPwAhyRclhTiILEW5+Tq8rTy4xkGUz63diLQmHPsyg70C/xt89+5L0ZovKss1fKAHHm4BZ2f3Aw4iYL/ObqtqNCnV42tK3R8P67oWkKeE/3WzXhp8s/M+7kVPbqUNLOO62E9A5+fxQTxr1zIL1wM2Wu/8s7BPp7ZjGBcpnxVdhos9Bzwe0rlKVuxBTr93eyZU3cElYX/kY2mH5gu6qhl+Vpa9WjOFx3sFFjL3A3DDu6Yjg+1q2Z4R0MTLK97AVbytWVJ711M39PSQhGP5McRfJYs/Mn0Qwfv/mDOw0qZtPmq+5Sq6Ry+P8reCxj9t6HuYVXD3Jcd8jK7/WpCrBtq+siAh2P2I3Nfdx5vHszLN9AeTIw3B+7gkR82/WLuBHsVxEIN+nvu0EdOpdX8xiLxaDFlJAyc46pzU68FfkcPnuyHidkxe63Aw9Mvs1HfpVq94lAoi1kSNF6wpUr6dqaD9WCWrlI2DTSKLxXT5o4zZC7pqUBbZ4HWmoNOdfG+CqapEvEV4uJkfByxEKnM2VQ0hY2z3Sf2NGX/9eTCwDB2iiAH7VHGGYZxxzpnZv8QFzCOXd7jD9CKDz5iXFvyLTfrV258g+/2xjX4PiAi+LmVg5c3HrnRn9cElDuhpgYT+PG/tcrbei7geR3Sgye6SapPjHHAmTiAPLOpWOznhb9IK35kbAZx3nIa8B5yT5e7+p7p6U0WelVM+dWA/axfBO38A3D7DrzxKRF2WI1/9aN+6r73wIjv4Dvu4Vku1FoE5OGKI2CGAHSUIlRbsy0L/NEg9avvoCFjQ+UM1Lg7OXyXdw08ifyqBIyr2/J6368k+rec863pXPpaB+C5PlwJu9y5C69eJ1blKN2siDF2cVM+PUURf1QdecIcruoBfajBQ8Sai5L7B/x8f5yDyUmeM+QhlKgAcp3zfm2Y/knh3dGIrHR4f7HNtaEKlQ66qq73xDiJpGg2oHWrqdsjxjYprfhUMbVIRwvKlpPqZZev3Gs4RrUun2pfws9dnsChViK4qdx+rwf1XRXcwnuzJvZXr9JKQtvPTZ8Qhs3eLU0ZIqAzYEubBQcLJuBROUI73KlK2gTlTmvWo03dRE+IGTyrLEs7DjLXnMmGUBOEZx0SoBEFdtqqtP5qEQBv+xY33aSBd+rQ21S7La6s7IqBubD7CczJnZo3azl4Hnge0/v7mQzEOq3kSTRb+XMe4LN3OLCPKuSL0f6Ggu973ixq+20Cn/+ay0xgW1Hwus9tlrjT1Aj0XXLTuDmeMs4PnLeCCLSY/Q/KgElo7LNegj/nz/Oen8rOH3ihY9DiMA22H9JGMe8lzxhehJhO+bC81ipTso93tdmzcPTF1OSlZp2QyUrZbQds9uDONuOh8jMBf3qYh0xy4D6fBuhRm64VtH2qTh7NfruCuMiE9w3fBbSUf1XgvZVL/s4SU9BoYLErL/rN7727fJsCwz8p9c06wyYP4wh+lqdIbmTnn8ga93KQLOn0bM57NyvwYNF6p+ftrvJtnrgkI3t5lxyd4P9LyD8vjjK6x5nmJe+9mDn2CJ7kklumJ5qmFeUxKficrODPTX1YYceN1XISkgd2+He1b9wqmmCW/Hsk/ed6Wlssd+8edjyd9/Gzdn3RsMNfjfEEqYcQXlhFShOj39zvlPAKGprr5jKsuZ5hjG9p8GmpIR65i1LJDlc5XixZIEIida2Yp1nQbkpXeQyYjq7BWq1kk2udQP7969UCfHSv+6nCoRdVAQlxaF/Z2uqc8j3kEJqj6af67fl4ALYmPGEeO1nbWX6BB9/jgQ/JFfiOMptbwuwad7hsTOWGcHlI8FRiN7/O20y5zU/nwm+Bm7/zfAveqk3BZ0rSfd4bK/49+wEaBvodnxLQNvAaNHkCT31tryIH5lsbUx9xp3r+Jcbsfkb+lwKuKce2E0FpN//VufVyB3PwrJxaLWt69pDM+wGyuxMX2EpPd4jTDjTR1Jr2k15B+jw4JwvnoIlHbl0c3t9gTpFn3etNqfGeFv88DLGHo/aDh/ORUPTXL0BE0w949wG85RfXscV6dM++bhZ4/l3uclNHuMue2yAbW2C+Tw/GHmIT2aYXnVpVX7vTcARdPDnbHeOmdvHGhlhvlc03iWVrHv7VJHyC54YciNk5BOaIYr+xJtOnlJQdT0ArZjJOMRGNA7+/AE04Gq3N2bsHTBTCjLXzYLqAbnQyxFESap87+kOOpZuyhYpwPp2D+eX1SG3us6PskXGSE8vUuDe9szUXwCDlGpu7yD2OJMIwVxOq25zxO7VxD9PhqgqwlUK7tdhWaQRxNOKPzDZdq1SP83mA/JDB+3ndu/mu4XmbMLhnHY9Nvxjw5zY8T1IX064O5yWnOIRYdICLXDnGQ0XLZ7rb7uQw0aprD+YMlgzNfimyK3N3wybxmbVhzew3YiVPxbz/q/Vxe1ajT88IvylmM/q1HdM9TnkYL9jlm8pBh8o0wxDSEWZtdTcD39n7zOXAwhM+2T4/C8WJFV+Bt1pFwX9RrXPLS1lPdM5bAvPodXdpB1wJPIrAz8hLwjaP86BMv70No74H73VJ+cX0TrFgrK7wrqaKoaIK5LdayQHyNkiR/92YGnNf84S14vg3bxzWsvh0mj54ZJDvX2f1y16DZ9W7zEZH6mwv0tq2FUJv5k4axIx1LrRLA8JoMM35EBt2SyFrLMqJc8gR4P5angcyrwK2ZJARiLPkDZ9IEy684dxL6R9Hgd/1eLOXFeS5iQLWVGIrMmdbAleWeaScppjaWqgy0ahUw7ZoCilwgd5o/+mcI38ou1am1L8B07zBuyjLkRzOjDgYmX4CcVHzPz6MgDVNvyEOvrfnVkxo7/nAet/nQh3E6P/UQ3tTtLeOzueqwocD/GFVwqzdASvuzY0ocqMhL7GFKsDkUVncV1/vxj9ZKkK+Gsq/81HJCEQw+kPWyTdsvd85MCyxPu+MtroKH3e+ZxbNZ56Kw9oE6Lvq/IzAPIN532ag4/D8drKaOyUB5BEYCwdY+bmFPAu+zbFvSfi3XwmcdHiKULW4n24wn1Nu+71E5VKukubOvCF94CVhZie8Ldiqd81gJ5BXYazYmpi+kPvAAQ4heWB5YIuqRkyDMn0mnGVVUXAFBXxx1AE0apUaaRHpkYjPu0Q+MKF+S1x+B8xheNiWYs+BL+IIKAn8vW7rDg8wNwoVlvczi7+AH2wRtNW5KJ/g1weYc29Z97mBschZ5L/29VpgYrOfVPLQ3B+f4zPiHfBYcA49JMWMgP0f0vVpAvOqhic+WuC7XTQmpt6XuUejm4UO4DU6lDX7wyKYNnuQtBFqaQZ9Ar4v/lg0MD6xxRjYnIzaBa1+njkuasocoKsP0alv6fIU92poCu5kI3CbeKxNoShjOkxQaZn7uQl83zpUvHb5hQkbfI+a6CBLYJtXTadE2dOOFvHN6AY824aKKc4sAi7v3TmDB8ph/tf9/AFztCtNPXqG2qxnwGsEgQ+6cjse4Vn25r4tN33jIMbVPrvXRk+KYFPTv/vml7RAjzOaKmnBfDF9GceJJgP+yqPPqxTxBfxPAu8QieJimz2hNHhsWDCZ86yaBvONueAjQzLk4vOhwtZvxn9rE6onvEPgSLzh7usex5yVEJ841Cce3mwKDHMCZ876GJ7Ljs9jaZEiTuQeHc45+CMOfAHzukI+Kxm3wTd0xJJfjet/iACfcoRn0/uzGuZOCHStx8aq3b91bATjHOYwh3Mru4NHs2oav6kwNnsqluAKeArHOfU1XYEJnXaHC3/kNowTzBPId+DZ/UPjPGCMQRKCuMqA45shWBrnYOr8OPS/Xs8WaO0PDWwLgyuUHZqS/P2Jn3Nw7lRHuO+zUBUwEAw0x0siae6rp5Xu4b373zCmT/DNP1IAHIMXI0h+5L0cK/ti1850a1a8UeH0qnO7AluYOkmmFmQAOfvGuGKskD9nreB3xz7oDMsdC/yV9hRqkzqwlxqRS7qbA2LOGkQEcjUS2eq3wFUtHdW+jhj4FstSIzCDw1+6oSXbpnQ0fUsgFjpm43z7w8bL/Wi69bgoyTqd1sBxtODk6JAfc/ZGhJokHE2ET5wLOwJ9YUJsb3nEJbCGJ3q0Eo1h0uErF/qVv3LS2z95QW45InMqVAbewGucBVXhNqx7/k0EfzKHzxjxRDB+FX0cyT3/IC7xm9UHX4lixeTKKQJetwXo71sVxH5lqU0TTGk9yNedxwsNt/fcjqNkxBMeD84ZMRgLmIoWz7CjnvVz/t+aw57LXEuYX8n93HtvpdXGjdCYRK1HelIyd0qbCD6s5/vGuVh0/88qB7O6qV9x+Nb0t4cKtgTyIJfs/UGHiZ+Lf9eTffGI3Wogb10WZGYuAa7YRpSXHuQoD5uaVjTzWFgCT8eXRgdPuYKrsLFfAcfy8HPJ4HkxaMRLN7KV2ERsHdJvDzzcIurKWzaoY8PQkBV6z9wEOHP75C4/VHs+S97exEBMfhrhN/VVr1g1LKXava/AAd9MqB0T2dL07Qj09c07//80Cp7JJqwKuHd0bEtEPq0KUwdaWsACpCxMXSeYA6y0uZs5gs09oT5J2GMFP1ZmPTqWDB1lUD6qyI+pyz9oqD8qhGOFZAQatmfjX//lWTo9/JxlkQEJCfmfrtkziSamBl6ev7adcoilCnZVIykTt7kKU++AyV3lyiQVzKutLTL+W3ZYgDdH5wC8n40O4L2GxpKbZDe/7jsMmJmKHXEggffPX/NXOX7eVfHpJqFXNGh6Y4L/1J36amzOKufdVgiYbI82wNUrdcol65qH7G/m/bWS9u7Jen/INU6SyH9LKMZ5VP6tA1AEbG4dPJj634rGB6WzTb0qme9VRcGjnyAPQC4c+F47Av6AL/oxDAHvz0mEBz7I258sjpqv2TWfBbG+o67SoDsfR7f0Tit/1fva4Pz2hDnRJ6w9QR44ZcP2A3zLRfXz3dRDzlz0wXtTO+DTqQItiDuVmamT7aJ9xeZJUf9EAzlkw6yz1fRkNPcYl1tj/AtoStIvr5yS8r65cmfWx1VectGW5aqPWRG/Aa/cIYdeExt8J+gcmDIHdGrM7d5qmF5I5N9+1zPWf1eIx0WM2pehZSVrv+DR1zVHGMBqpYP6WzNPTb2IaPJ/a90PPczVqaSm3nw+JzBvTtUKRM2xyekfSW9ffnu2F5ObRhPm1hIaz5RYmKZF+Tg6pv7idAc+SRiolKmfjW11+dMNNl8q0A3wet+JdQOPZMYqcXG4ZaDfiIdLoLgySzlPYIyRMoxBcw9Jp8Lfu4H5+7USi5048Q/pMpuEUwYed6yj9iYjHFLr7w6CPjnNhoOPJc42Ufpg9uG8WpM4seTEqCqEqQNKA7fe+x9kaE+Qj+Hvy2tj+phB7jZ7BfAenDTUEXxexpCP4blhDnpm/8CpVv7aC8gpa3PQp1bt24gz6WScPfAaAJslD2wHplfjAbjjnlum9+zBZuifjVdfA5NC9kEHZRHwNu03DiBnh9LUajpAPhjAaz3rjj0aYIjX/GLRtDnvwGOMkyPzm3fuYg3vzly3DXnRPBTXroS/Kx27quzprYkaME/YdJg7SK0k6OQ3i0hSj+AhCkTEsICG2dHvXjKXuh7/vbT3I4/kTIGLzgFfGoHsfCw9yMttAxpzRqqXrrJFFD9z97LiNd6nIi5gXn2rAoxZR1zgIYd1McnsgwtzmJdcb2hwuDZF8+QrsFQwv2LjVFLFiBtr8DAZdeYRvkybcrIpewXvzNyTkRPkjnvK/a9k9Q+gs8CpwHP60xO6f2LT81PMhfFl0tJZKt6vNPIX5swTp9mjpvJ11tGr+hniGtTMia/Ar98poAPX6kvskZVR/7sUCHzXO+RByN1ssYDTTB2daxPgC7znMisg/4vtzAoU1s7lWjKV/69nIdkcXb4DH/nS3jYvfF6z5XIeLDsZyKEcAxe06kdRaU5K5tKxgUXkV03Bh/fvm6ZLrlKDXhbBcnT/dy9RdsnmZD1ciBlchfMb621a234qBu9WFe2rxy7LTE0LwATQwxsebPDldlWvwJmOqTfbP/N8Fmdz57zL7uDNQH+QgLHv6y42/QNk3ceggYu54+tgww/MnDfljtJ4OtrIYuvfnUcJz/KTjfpam7PADjnlEeJHJ3nkVvBIROlxcArwPu7SinfgA1zSowsxa4RshueQNxJJSQabqOBxrQoiIdec6gjnySg/VMSPmaNfdzl38J0QM/UtEfZlIG8l5NXS4idp/EGAqLRM/U1CldA3zJTVwDsvB2zOQFYZ29rZEFNz1y0ROEpQtuBOjcnQ8nI9bFjRQxTrvzuPuZ4EidQdB2rPwLNDjFnU/mf2hmPwTzP4MVeY+xdfW5tzX6tisthzG2Zcf3GuKhbEx3OXLCVtMd3rb7X2Vx5aK7y/TuWzlzH8uivNzqa3YtRb2EEY/CD4xY1r5mUS4uTkKuPbvk1vvvoL/nQN+Hof8pdsgV1/TL1z1QHRhNl6shuvFDghe57y4ObRIdhI7Y+g2q917AexeQa+0wHO63CIdsou19puL6DujqlFLAa5SDHlYIVSiXjwW5fH2qyNCBam/Q748Z5ZkAk4z/IeC4J8Cc+oOdsG2SC7s3jlyrmQezLwYFrM+cUacdByBWPbr4rh5bhCbPb2CZh9KEfw1cGCjjY3NVtH8N0xHmZZW/KhKPp/TF1dd6M6sv1LfJis9mMTIzA2chD6AL0BYgWDIMQmNubX35L7OHPXPMxMn9OJDVW79paqdk3USS0coVn0swcaDGHKR6JBz7v8lcsCcwU8wRcQM23JP4G7QYxY22MiPi8sjFPAcZq5/aUJ7ZPoSKk0xKeTLq8dyoXxag3tUYb8himx0pEfuE4W4xuaMR4ndvo6gw1UsNAk+m+vqft1PzHrLiNg9iKemx1/ywL99JU6rPiNjTjD/YQqpwUu1dqF1iu3vE4Nnic6wEPgMZjigr9vA2JtMfCEibu/3izvioLsd+I3Zv3ZmKmAg8MhP6cNYHpB7No95Tg5MdJD9TyX4deloWY25L4phD2Z2XAm5rWJdFR3Zj8RW7CZZRzisuqBpzCJkvB3r/QkA8ACG2Goo++Vo4/Gm6iivfFNuzSalKBlTR/TCDX/bvzzlKP3auUMXhGrnNhgwyJAwpDz3IPmcOsd8Ut4H5jXjxPirnJ/PeGDql/uidk1tYKO1OZ+1d8l2bbI3rfAdOUd8u0GOfteDGquRHA7uNIy8/sJ8CSZc0zCZGXGp9f+e5ccNCaHfNe98QLRUCs2aYdf3n1Qd8kd/uytXP0U8BrDs/oiY9zJfjmrQCPAP8ig9q1i5B1qtEMEaJFge+aA79TBqQpkwAJcpn3spywGtaDOwKE3tVW7zfsfi+nfnsCLGNIb06Qt9FSwzr/S8x9Xul9emdeXxPlayr6/swA0bLh3FUdJ6Wxbkeub8WKoe4+LEf6wV6JGuix4cWFmjrPv14pyiP/tTzP8zuvNbICKyOP3opNEOnFeCEiBkRhfjg/gV2sSoTeQhleC4g86bO8Ni4vaab9UHgNnsgUWgPnA/UuoSSowno3SzJfe8K7fNON0zrR6nVXa2Qr6G1QzNt4LfbACPoJWji8ZZHiRy//2pFw38PlG6qJDGbZ2Pcr3Sv+1E1DY1CaHctVfNQsgp2u36oJHw4tNsZIyteJZdOrVe/DsI8nMXXKIdTkqCXUb3v8UH53Nmvbwj87b4OCmF2J2/fVxWIXc7JZbjE9J5RrP+NhPVo5Ah4FOqK2T6bNx5TcOZUB5jGjwu9s0VCL+AQ3bUgSvNrBxw80snSLw7zyIA7wqmPoyRIjb6tAAbss8XjIXX0tnvlLHYypo2yScM7XGmo8+Sl3QHgPoWshybkPEhi8PrqujQvu7jtRKVymzwftIsnkjhv2dCwUMXnGaJxfIZ3JCMS2RPB5c5pqdEsB5ZoFQWzmQH4F+TxAqCEdmN8oD2NOEB7Vhu79O9T/v9EflAr+FzyeitkvNve8g6UlgDzutVD3KeO/59UDuFavtOuAh74ynuJxVeL1gLU/we2VmtcYT5gMYdgt64nl+eGIKCIq8VvzzdcfR8sF7qFCKoy2/0x6fZadYFX4BByAeBZ5xYlDvRsVL1u6bro2hhgR8hx7ZLjXnQ53xlgBOtaPn66V4bI/NCPx75ZKGW50JhVLRvviGk0WxA/z4B7Q+6ALNGpSsAtWXYpSEmDOskNlpDnrMbiXRpJdcugJpJAJyJQbvcxlK2oLqhu88tlYx+k4Zmt3aJCw6PIGueu3xSU+UPaRIPRHokETIA5x+zutVtjpihj4yC/IX6Tvt0JAJnlCBz9icca04TUJ5VdZyrkIiGpZ4zPiPB+qtXnFH7QkD93jU+e8zPJ3et1qYztLeRmkPcbfjG26hERjKglEsGORmrac2C3lcsv2mstBR2rHPstnO3GSTdT3gBCpSp53TnOyPljwKZkjg00M7pvmvh4l/2vlH4zfCbIxBT7rckocsJBbE10NRNT/vV5AqKz29Qb12y0hvgI+Xxhk/sexn32sGmgO+8wg17SN7/3N5nmXqzwdoza4GqvDiG8AH4jL8Az+DX7BIH5DTfbkLHvg8f9Dsz63ify9HZ387rr3VcP/7aPs2X+tbuaIe/sw+5cBbeeBygR05fl6AJxA+kG+6Qq0NPUdE+NWrD7WgtUFzbmrGUTqSHOrXkmoze4WjKtg4EBdzOgCXD9rc+HDWITqVOoA8/7Rk5LfPmWga2xQp4+kXi4hvsmAraIAJCD9zTv06W0bKeGrm5EoD+16FZkcX3wMGmTsmC/itzLRv9gKwMnjOudFEtGf+mFN4P0Qx+1tQ4MEWJPlj7irkR6m5m3I8ISPyLbSys2B5ed3varFw4ManagRMGsjEgz8eyKLv0tUnLLY0teRXxaQnh80Dvp8UrIZ8nErAp6CEz49HviNcvkNuyswmd25NR6gTpxL4I35sUZVdX2cpG+5iyKzW3Plpbrda0mTJduqj6gmjD+P3wHFD/15oz1OW63vK8bHOyZFZMuWBxKVNTkRPpeqXBzUeAf9850z/4tQMfMxE/4rDFT7XpWHTDffXR2nmd2weE1sf5apBV6traksmxPTsZcZRvwAOgu5uY9DcmdnBWLIvw+1vGdN92qEf0UHdCNs7j6bMeAxXXL/upI5S60fqbPNG1LaKpl06zFDp24ey8OHoFs89oKfdfgHN5gJnvUABeEhKInjHjDtoroH/SyFvwEGnzOwuEK3IDEZD5cx66RUu/v7lbIE91GbP+KrnZIB677S9AL1ROzZOclwenfjGrNSmq/4GLm/OAOdGtMZj3DUztKDRPzJE7oR5J27ZwLHrGwvmlkVfC7U01K/fffR27cQtHvRS5P5PFrGVhN6R9cZvaL6kK/qpKUmgtt7rx9ZuoMYl+muRaMqTkXwX/TaVY7KBmnYkHT/iVQmxa8Oqk13K44GM+AS5/aopa5lLp6L4VuTFhVu45KzdAMZ9KBZj+bzra7kMl7y05bFeA/docVoM6FYOMdQuvZQWDxPBN4DJbZr7Y2XhubLULF3k1jmKWY9fHJuAtn7nDNFE8zsfpnthJw81wBew0w3E7SVbZZI59wcX6Cuh5E4HwEBb6tQhgbK+vNpCHtPtd0L5lwhBy5h+DMgh4LiIC22nI35pvTEz9x9i6gvB0Ynqnjl2Vo/ojbvoeBLWUrr8QFh8oKB+qEV8SdmaDXKsrdbhYXDB6NNOxjjOkD8Al8T8vOVN4J3xCtqF8e8q+vUW88vQeGB/eSLbAger4e+2LuvrTY3iM2fKPjpEsw5wj7dTNqqgGdsBsPqjDnXf9BgQ2N8nVpxj423H5lsKWk4OKbxbadXWH7cZvNc5wCgpIqk5X9ftlXD+Tju1wZH6Jj0D/JDnhJodO37I+/hII/aAej0azxOWQyygNiD99q3M466wicc6XGTCe9RDLGrmaXhOFhl+e5bWEuov6Nc70X6fOfEH1O+eA94/97vuZF5Qn5Xj1IHWLGS42aSUDCwgqZk/wbnMZafveETfGdRHKQILagR813hTDIXZLxipX6/7652Yec0wsAvenuUOd2bHMsvbTI4cara8FWIm8I6zpos93BuXArsDLKQZ5ZoPS6/C+Kdg+xu87iux8Qjv8qDY1yNhmIAGuBWMv86jDqXAP9yW90Js76zf3pQLOuY831RH7Oe5pomxfjowzkB/xJdGyLvpHTb7i6Gufjdd7UC9vh3Wvx7bfa6gqWnDp/fEbedToHd899qRAbqyD24y+2MT0PnYNT3Z5MHh6Zu96lnfpiwCRNqRmbj8J3XudjFi/2C1mwrqGO8Dmwn5nTikw9Ziszw+lfB+QOvF2EZX4KmJmd/8jfnBLgFrgU+0m9LBe+DnxovaMrOOGeJlms1LLdS71MQ57VrA2O1Us21Whcrcc5zgGeaJ6WMNvdZoOKnVA94XP6zJSnatD/XzpSv9wpbTCX16B3MGFchH/f7ndrS2ZsdJZLyzGXwGAbVcBZAWrh+SHGB+Bb41EL8KJDf7+YgzH7NOF+kwxdWqr2zHb7XYkhL4cJWrl4+ZDe8HJ2tt0VGdzL6WJpxBD+IMsCZmuXKpAIgPFocC76keV/jdaio6YDZMvQmKT4njbRoUw9/YdjLbbrANvKS3KbNj1gxzKVD/6iXeUTPr0sczs3gJGPVgmnsVaN2S2TfJFQN8dWsbmJS4O4D1Duh9yJ85qm3tSz1NpRM84Hl8yzFdSM8nwdLHwcZp1i+dzI1XKPp4aQeGkoWx1AG+euVBf4f6U2aWzU1PnAItSVeoSQ5f8WB6e3qPIZ1C5OB6nO41MnPB8ShHvJZWGwPXIBkz/pU8MbqNjhOw79/+jVIO+NRE8al4zBgw4mj+frNLN3I0vsrTTM3duWPvSWj2VMi86ZGoXCKZazxYpysR22s1wPtk26Hu5PsRNGUt5vf6vE1JJ+9JIPsXjwLMiXEkY6iNvGHKxSFw52hak1BHlcU2mbnTNbNTnHwxd3pjCDDs/JwFtGk/30EDe3L0vaNVrywKPOCplOWBW4P2gZ8J+fu7K7Ose7tjqF0A+3DhqH2TtwvED3C86+bo3K2j5V2zHE3cikETbwl1eIA5Wuqch2neOkwgUo97N3XwOQnsfRVC/XemDaS+Dbzuo+7J+jpzgFgrjEceGZDFhV2kuhVQ96B2bx9lFO8l5VfWt3YVkERZdsl703u55HW//TqBrgHua95bxvNWiF4OKuiNdxjoFj1im7+X5z8vDftd5LxMRO2lLiqFruF9frlqMOeZhXfKtm/NGKMUiOoRclP0Xxs+8kPK4HeBHpL9FTSnTpogfTS6fTQs9YC3Pk6Gt3Fp/DVD4OCv++UcQ4yJ4X6XqD0k4d2tUW0XGs+sU1Zi+wux1U+S1xc2olHa/q00u8ftdgDtpFNrXkA3etL+vFO7vad97YJuKxJn6YBz5ZUjeeGSl9Z7HNd2TkR6q3ZkhzmoRngO5p4j64DvWu17veOChVofbG3T6OtChLqXtn4AN/iQzrZLLO8NuNJdhVg//SqivVMOU8IyiP9++WjC39mlXR3GFs/jMmHbn9r+ezeNjk3EHzWbr7UbH5WrcRZwTHL1g9Hkp+d5gN/vZ9YMsUr2PPq6VQO7qZUv5pnLcJKmDylB8UZ1/r0Kllds2EmHnYOjx1OwgRcvZWVN35BfFvCzt6P911JMT5kLPwnqI6NxB7wiqLnfY3N/lM3fgMvHzMzgMeWkrs9TeATP/fIC4p2b3QL311zbXFjbvZnhL3rvUYX4WyFtZ9ayZvYE9XfZMYZc2uMv4G7vAvSMpBA1g+XKCN5z1G/Kfm7raP9gxuvyfYsyiqLkAbWA9jZotVMTWC8u6lOISGVtXEnx4ySw8duGOpm4J7a9m1kyYvv7ciR70cW8dOxL0stJiC3w01iABgENiIH3A07tyFqHeOLsbieI59wx3uTTTeXtC3vbg9t+//NFQ5GK9tYp0iWnmCYOaks275JOQu7rXHDIwQ6n9TBFdJe4DUruoKdQLaDeDfyQOIWZ48iZ87lCTcDAs0jhyBS+y4sD2JhNmHMSMGcLqKmE2c9Y2s8ezlQMdi6jScNnyauwLSE/fDG2I2gVSwyernbtheR+bnYVJDtfcNY7qt+bvp0LAd7OhnnH+PSaGTll8JzKnfpiw3aqoA6XwMGU7SfAf76l2HjJ0C7G84QBJ052BAQC8GLnj1UM24SJWFb9EjTwCGpnnkgfewm8JmanT30DCrqt7PjFAXaZsHvQpMVzr5np42XMUdl2Nc8AcAQw9eue9fcbDr9WNmAPcFhnZkebKDbM8qJmeHqJ3QVqf0oWX0RvdNndagbdcSEHCd/39buAK3wT418ipqHqgIeh+IR3emqQfmNd4B2dqTy6z7uzN4hfj+x4UQ/LW9p7KIE6ecrxV8Isl5/nIhkYcF7JM8aBG5CjoH/vxkvzhVGg2c64X+4U/h7kLpfOvKlXFJbhFlfZ9udo720p2pADzyShjE/Az8goj8nKZxF4N7WL39mo5jri4rCSoUL4onplq1B+A+e24H3vXvNECWB1TWtP7fAO9LGA3L5m79cVdBQ+OEtqPIcNjyLI+CkCFx9rV4Zb7/j4Y3rYy2Rll2pMV9BFEofko3xcjf/0DLUn5yzwSmf74jbfwE96EqCnz3lp5nc04ZBXH+X4+ahAOwLehlmkH0nXFtWAurTzR2K8cqy72wA/NHuNnzsvdZuUo3Gs5ProfrpHBwcqQBsW/PrBnkotQ8Dnm2Sz4R4XKXhpZuTKfuMeAZnYkNxkP3UiND4W/IdYHoK8cWvQVUe7/YFcIJyRWAb2jDXULuC5z35sqA3FYB/q/+3yu3ChLpzFlGh5LHu7rwL1w61tSEN8Bo4OfK1dK2t7q/PaS3Z6Qy1v8/S9GvEOapuWoF2Obn9JhpirYHMH/ufxgW2w2TkWshV49mvGxzpxwCCEANs48BfTZ8dcwBV4BvJudqYlwFGVO+1wyFNIAu8UyaTstUepfyL5tIF6Eynn6iadf6bWHBLekiyQXZZDTXYsV0W/O6w5cB7AVpIRsb9LjmgqNOIr4BKbqdlhVoAOTJypgGf7AbzkTIBHFw5/E8wWmNY3LviqaLJSWjt1wMej2+bPeyxr6qve2yXst/cbp+ZsqVcXqHl3MsR7bFnWScxrxSZPssnMi3Zsh+fMaW1svA+gclQCX5Ici4rNq/GZ5j32MsgR7HgL8KfJ9AhkOlmLUZuZ5fsv73Vwmur4CjXkm+RaNvnUHy3C5ShBrVmQq+QM37tLnOQGGiUXlHSAdw9uqQ8eTt/M7h+NqB+1PcVQRs6Gn8iVJ8TVH5RtVuM787pPYWG9AZ45AdffJaGdc8AOwNUQeH1p5mZLazmY+c1EG20RH3C/zUXXAuJJFwdtVHS9V0LOYwFc1Y53mbX9rtyWJsyzM9uP4Ge9amVcBfG1FMGD93Nf6M8lCee5dFv34OAb6wgG7Wp21V1PQh4wm7+AQ6/GH0BEe/h3pyjNJ2ocDGmHEjGgBPjUJDTpaTT9MAe90f/tROZmb2rB1LUOt2e6qiCJyJLpvw8MPAVy1MzNcAy1y/RWQOyBhucg8lCX2AHERNvLsfB49LmRw+ZWA6bXLsoxsyVo86BY8dN/4HUuSm3pYUttVA/1hhEXavCmZugBGj1sRo1LS+75OGk8xt8UNNAplC28zw3kRVE4ZlbH9J/FIaPyvXYAB0R7Sy2MIK4BC/Sp5p+v2IjqLrZKx5z5AF/Y+bIZMVUhRxnfW8Dt3UL/N3u7xqcK6VuR47uyWsil+0MO1uZoy31q2ZMI4z4VE3AXtqmeMyaqh9q6N17Rr1mYeghM79AbiQB9c3wBbpRTdr8RGn+XVB4B91Ga44xZLWNG24EuI738KrSCZ9J6Tec7NWrflNlZnstU7TQGHeECxtllMJv+sxe38Ti8v+O6t2uBoC6oAXC2g5ovoXbegakRszsMNNigKI7IM0YXlOV4L/TXBkN9hXi7iiEeGq4OJ9TuGrFFQk8tgfdtZoNrChn23/mGDNp3wLITYHhcDx6iWi+pJinEV0JDU2O0xpAnyYon6si3xP57OVrt9QB6jRqV4apeCO9MA90ywELlfEFsyVOZc1qLr5Uz+YpDi0IOQryfGbPfpNYFpnoyfSZmlysf/XNy3v6cAnvMBi8uNGHPDQoar/D9M9bboId8kJvYPzh30M14ZVbcE9FOxJ3W0uE/8F1e80QJpcirTG8Xm+4VaFvgcHbRxQlwU5tAvaWd0izyH9gmDyKAgzHZ1XxKE47u5bDsmfbPtaN+arbchJAhPO/nDudG85M09UL87q56k8NWQx6cGngPlbN8VQ6KIGY5duywdCVi4nohDo6gNrTZoENsT9LspCMOEUmg3qU93SBOzBzwWyXiCwvaG+6wKGyMOfXd0kWvOfqlcJZDk3PecJ+Z+kRGcmbiuW9oD7n0gwfMGTxbCSiaOJat+GS4+lLme+dg/30I6h/rQe7NDMbhuW+B3+q+3SdUXnlv3Y82fvGNlgme0nwP2D37Tcdd0J7/eg0Mv3ufv0HHA776ZcPkyPkkE8v08ijf6JeiV+81u1rN6Ifc3d+YWMbMkjt4Nom0lPF4jqAulf+PR30X9qdF19irxbRju/7SBPYAccnZWlipiIMseM7VmFkD0H3wp8OEmt7a0JWfK4efQBMP2b9zGqBrxapCFVNGSBL9u6d9nbM9dxjT/YOuek3ZdoJsv2bjX0+ZeTtHT5zjb4glwnY+wCDfsB1ozOg5k/XGzP6+3uwuID+FrYxfEMejLjLgso3xsrOwmY189XDeFUvsFJgv6Ei7ctFz71+i/VYEKq6GegPveccibR0d5VVc0rID8Q787ZTvbeOdryJ0hFhPqhE4OPBwPPD90SkW4BZOMyqC2a//xgGqapqF9kfZq4gP9u1oTVKGsQdaNRa54XnLlYZ3QA47ytzW+zejgDU8hzvg4HsjepeH2FMhejRdfyt1cTm6oG8N36N4Y7wAXucbR6f32Pv2q+zxAtqrrCDuQLWs3G0HwOlbBdEPGrzHwKlBj1+Jc11UuP2COLFANzqF2y/Gp6kJlliFk+nnpaDZblKkG3iPBeiVX75RDMsXz7WLrQkDrzyVu+LCch1XaIprjt+YW98bRHLQk5KFoLl54TDgjwT4M3Ux42ezK4l88c63y9UfcbANZNA7p2iKQMukZCheOG/Xg208bLNk7B9kuC9JoAWN0Fw5m0vye3eDr00wfTBrCasRn+u1fWOR8cbXB+pMa4Y4cI2NQ2h7E/DnpaMvmMY5zvtb4Wyvv7x3AL5j9iPsAMV5W2AU+ylVDmg6F3T5EbDIeMbyiuvoABgHnMPPeuNbxCMGuUsQ/sAc6dP71fgdgi6brjSHOB2CS2Pm9vhLE13NOdQgoIYX56sNTO9UmJ1A8DGNx3dBSa+o35Yjx8ry9szSFnymbx5cbXHefieD/d/+erOP4etBnfZYMdKW8F2xcTIa8Adn9u/cKLemTWFDPe2kBq3ngc58yFx9kJ3fpoM6JQNnxWM2u7p/Co4Z6GOgQvIN3teX0MGNOO1s/PurYXnQiOByUJ5y+Q+P/m6qYbPBkX713H5j46fEMRKQe6nx1h+fZxRLlQOXQ0hyMwPBY07z+pEO/S119m5JEWTd3jE9McljK4CHJ/D7XGpN7yk8E9zH72ZOuBkwIzv5uqMvE6jn0laj2S+XciSzKHWJC9zK1C/gfAn/+9zTdLSVh11/Aq7zKHJtlxAPJehOyOuH0RLKbosDxKwUMjsF7YfIiw1xsfFpet1/LUn2xyvzOAIMfHpomT2LJ9RvsuETtJP9djKzh1xleMfvVejFdIyhrmieOYuTUFLi0b9xNqMSTQHJth/F488GeJZXIxnXkG+A3dkvRiEdmh4GiIUf0aUbc65+cEiuBgl6yb4czI5R4/tNQcOt5mxFPcpdeq/t9ks67Y8ye6z6eKJUG89N4BlezAPy3uy4C7nb1aE3v86jzBlKuSM667/sbMSzcua5hjqZDNqrd9zDvepKF/JPfHrl4HlZrr0MJTfG0JGM2iZAn1jXblLLAw4x5fUYB03v3TI3thXoBzr++lRY1DLngnwse+tWm/vXvI0oMKCU6TtojUdhtztly6AJIV469q+2We0GOMMxzdFYDwjiqr2XAt7HSABXzD5MsivHmALXPHIUv/Zk/dTul51ADQQ8mgF5iuMKuNjFm9qJUxKAdsy2LuuSW4L2t2bQ38YLSLJlUw/bJcuRgLpV8mFpTV+sGmIJXN8CLvphvEjKvrDq4aUr5zTpyYzftx9JhCGv9Bu1lh0LprLa+T1DZGyQvLFxunGXiFrzkuWyJSvmyei/FXyagb9+kx7d2KAXieD5cnTAuv05hbbFs/n/+5k//3cJegS+O3Bo1KfWFvRV4hDX/5GD2eo9X9mqXZGDBmbaeAbC+wJM2hk/Fu0Qzheo9TuoI5sTk5wPrfEtPh2dxAK8XMpw8+LzG1NHcW72vnxa8LCBF8dmNmcA3VdSx+iYeQb+1IJe/iAMO/AzWy4A58J6TTrJlaW/GJOYiBTixnjbx1Bj1FszTt8qML65E/l9hg46yA6/1SzWoot9HKQL158bbnyLuJ9xLcf6PO/Y6vvmTAhqF2F5vGtyvNKd6T/7vAHXBm27jSCmH/A7WD1OH0LLqeRTUln8dw84h09WscSpWP8oI3IGzN+AHt2rncr/eTOnpmdpJ/V+U2gfHx074kKPPNve1c7/qDq8JHY7yN5w+z/3k/BKZrcWtv5c1Ai8zp1eZw5u1d+dE1M/ZT6dEwcXoDkubE1vlZYUSFEGNSNJoHqcdoED2tJtdHwCXL3jsR0yU4cteZGWZ0GFuTU9eQNeOT9/99iexUgcNb7uU67u0Vq6Jv/ygONaTV/cMojp2rkDL5/OKeA9HfhPYeEp6VFZO+bd93YTWK7xuDZntKBF7cJM8wTbrs7mTmic8DUwWvGdjhgwifynU+YengfKmNrgwLtQ7pMTUpGZHwMuGTBq+qv1RoVeLkxNDNEX/LY00XI+2KTlmsfZsGDQvU7RFQ8+YuAQGrQ5CUgU3+Fnt03k/86bl5a1yZies7A9Htf6cnQMLhDgwRPUeLmmHYf3HX/gCHDd7OQc4dvp+AZ6MWId3yRuO2Gzf0rXdzpcvcrkScTuZmbM9PYCP3x5R0yceRi0zndiTx/0PBdmfrUO0kdtdtuMBDeaQY7A8wuMd5N9Ia6+J2Nxw485lWYHkqN3Zu6eaHmVSLUE6nnl7B8QI23txh+1s7zq8iXrt6Dyv+AdbPvS/fuQkTxXKyI11DrAuqnccQxI8ygRshqa3I4O5Gwo98a3Ittxv+yDewk5noT4O+unI8TWzux4Ai1zhdfzQ4Lf/eac0fgHdEMGnPcA9f9EICck1GTaAx93Exf04xvtU49BpJc9eihrMT7XabIjYynIQ3XkHWr97eDwIlv5ngzcFsGM4Bmbe5FTZiev8/kIW1fA7NmWbruvhz+Gq4aFHW8qwDohtnc+JHZi4RvUvrTp+S47zw5w15k59aUSf57zeqClztyOv/EgN02PMc37uwqWIjG76Qb98me71gJ/YTa/Hx1NMju+V9a8ZA7keDSd2Yos3vMVNNkPfIYVtNab2GlzVnQ+ruSoBl42nTI75NxUqOgUbo2/zrnpPm/G4xrygHEav7QerTnowJFD/eEFfJdHQX2LiO2FiD+OFMwqVjk3wnKpw2fAn0dpfLoG1AL3P5c7dJV9CzwsPgJn3MHP/smsxOhBqPExqwauqf3rqesw1ObA3Y1nZ2l6+EED64P19ZAjjuoOr3WPgAcmF2x5O7nzi3InadXXruiBJ+dSKsoh1qb70bEA2b0AdD7kOB6oI0sZWDcS6dfvshTkGkfISXr8VlB+qWxlN0x33EFCWfDO+ukCOXVTZnTMbt9Lc1Y3co+J+abEnwsbrEcF/K0ZZVBy/ywj0+dIDpTubWK3OemX15lDR6zaq0KyFj3+AVzZQRzE6aBJidqhfO6fMbHNNqABw8R4ynN0VSJYAOse8A5beCar6NU3DiafU5zV9t6ioi2B4/La7Vdizb+7g4vBMz1ckrvP3Sq92Q9frHgvc58at80UFBEf9YMw9JXpqQD9bxX6334UwZTZqesCnwpPKPbwPy1fcK1Ts+sZaqaFneTFAQYWKrcZDN+Jzd2il2h0pNbVTpnxkNNm//l7xmJztmC0whfU7iQZ29mcExb98r+8NjPj0eed6JaYed6a+w8Gv6sM5hfHhn93uVChmemHY8FmTVc/ICz2OVtIwk09gzrqtimN8NX48MAzXAGPfNl7o/GZMecSkBVm8/IjGdqJD+x2yr8MryISuItyya8/m4ymWe5IWQbWpbY8XQq1A115b3LSPu+ao9o2e2sKrYQK91DH1KmGOgyffxBsLo52vZ6Qv8ci3jPjXeuaPV2BVYbtrWCqS0f96qvktbjfjZbJOr0Dzb/jqF+TnH9Rg3XOfsm48Y+YKAHs4OwKsaWA9yU2df0DA91XUQl5jzQLF8jqxQXOvrBIpiBSbcL9k9ih4HW2DNUAGPH2mw77FZstPVzP5h5Whn9c0wcLWAsVOvUw8jG2J8hB/i3EAhqRdIA1U2KhiYdbCfEAGMQ/Dtaf9bmvTX+twB0uppb+973O9dMXX35XwX09WlN6dKeA7aCmuv6b8V4rR+0cHzNhob2ruv2GdsYbOSaUtmZauZVsunDAXNC1swjZxfjoVIM3mB3UInzy+Vf/fHF0tv0pQj+qAz5iK5QOgNcZYJdlvAzijdDcTpB+xzsZNe9bDwfqVILaTFy0zzp5pIzdJPAC0GWPkhHArHoFNdVXxteA4uG4vnYhzZ0Kzd3BX8ect8GbBP2uk+Kx3dRiCzUJtBJTR3hG74B5LdH9BnK3o/rv5eiqTj49dHHSoEnINZ5wuHlAbcKlLu5GUx6fdfl/nk7w737VUdzxjixEeN3BWoweTMnqj4ziM47aL6gXstKpjZ0ZNC43etnha+FVlABezDwJ4oMIkdnPnRPg9s85A+Do8K4Z5MRrngjwCN7WGF8p+zQenVfM9nfgLl9F39sJ2+Jm+OMwx4bn9txVvmA9pWm+X2k/z4DbCegbl67+ClrSlt1fwBMc0w5LZqXGCyQ/PLbfL03039ld2gwxJ0wDl4mL0g3uDbODtEdFQtvhYLeeFJPmUCuo4ay52Wirj5WVPBJhnwGjTtIGLcSQ2/SxFOHdJdZS8lyF2fv8Omd7o0L+FMZnbiAcn6+blC2G6y6lmyzV+3VzEugMGuBLBQRTZnyE4w9mQx211EiF59QuzzLgJoLXi/EoFqEcBHDpcmjzMtD3g9W/9PJVjemm0QQluxiXDKOD618AU/2UBiu3p596J2cRJA5HeGfORwFTQ6pb3YRxbHb+pSI+E9C0LMeHhAaPbDVe9PxR8/jKdbGokL1w/h3qPs5GeeKdessceW5YPPBcgvb2vFMwe9i6X5pOlnUkncopbrW1uRFTS82eUIosplszWngtLduBiuQ1vW18fxgd8I2iCeJofs0TQW60R9ZjKgHDScds0BZObS1Hs29VPWPeNrtIjM7cE+DvcsVanv94ZqcEPFQb6Jr5/wu8t+8KKi/VCHQgirG1TUrXD2sqX70iVhWqax2AjBfTDdumtrRYQYxlEQEeQebUUYjlvUW6v3cO9QJ47MAjn7LOX5SAd9LD77T7ezoAxzA9/+F1KcV2Bf6QYE3eS45e/aIEsOsuA+Pxpi/EmW8il+eDW6+UKvNdT5mwZ2DNbg2RV7/Pd9NN+axV/ZcFn3+hob4KVLtylJck3IaZ9XUTLN4lAd6bfSdkF/96cB1svUJJj7mILcM7gZedaYfeQW/nUkBMDVCPqa+bQHoN5xts7Y3n611ZZg+nt57CCTc98oitC/P8AZcsxXjSBMj025s9Fy/PmZAyiCmhHoWZcwJ+Vzvoziko5Vy5icUJKOc9xHlrdlaeQnySw9cCuPoBXH3BCE8n1N6yaHpLXR9qkzoZPVrn+0s6/J67v+qy8QONsYaaivQh7YFrAPOSuSSVhd3auoNOZWYf7je25mPSe29MxwkZ5mNKyRvk78gsDDHzuVSm10dg0EZ/vVMea9DGWRIpxNn06oO9qM4/P8/kejmZXoYTxEhmoZUGydqMymWCbU7B9kDftx8QD2ly3vY8iFNmxS18HgL59mXmAFKe3qE+j5xhvwmxIAOJFPu84/DXOyKto974fgOG9pfT+1wk2Ywk5E9hB/cqUJQgtlSml9a52sD79iRKHwYbqWX03d6rnfaa7PyMhMA9Xe5mA/l+emn0Mkp6MtKO/94FpP309dyNuUNm25ql+k+LdxCHZkd8D88d/iRxJz8DHUCj2qXutJp+KdPrlRht6Bb3E+hRwESUMu2aenmKPtfa5jvJSdvwV+/B1cFRYmccc8CnC+nwD/CYooZYZTv2qCJ+ru2vRSCD2BJLJz5jt4Wa/Xet6LO/1OzqaAsauHTYmHmYiwz0RUIMEMrPyY4DLpIXx+4Y8Bw17k2PyzdeccrDPcQhgjxOLulKENVTXzlqz0LPbsK2A0ZyKSk/1KZWrX4O/GJRK56pHb8L9mXmB0bgnxfQdQKHLeTc/Jq72VU2ZGq/hbiDZ5TLtXbUgUaBZVwWJBQowPYrcf134L13PJCp6toEtLM5W7qxEHSpOb/Z+R22YsCbxcOjtmtz3tb5nIz7pTFs8z+t1+jplAAyN6O5G9YlRYFr9gRmlv569vhyzKCUmTMF00d0Kq3CPRmfc+DkpTWbPUXGm9/k27HRwUJ1jCT9uwE+XZCd7x2c7csv5XkeKPtgYaOPWYjfzJ494GoO4fqbWOoLh8w29zPAIVYVIlSFky53OqTPGQxAlv5usyC4g+alTKAZ/nlZvW+BB8NTMPfpffs7C2P+t7lNTQJJa7Z1q0BvmC482X8uWX+1FdTSyokzqpOlMT5T1nN+JTlxfEu1qd+oNzuDuOjvHJAHePgdUxVXjvxh7vR92unXM/wGvZ7w6K/pY5Ml6KZEtC137EOip3st5rnm000KndZCOySYv2WucuA3J4ICy9Qb0qOlQtLsQfOKwX5kQX1P3rdfqePF1U4DHpLX+WHMu5hSpHFtdsmGE6igKedmHmTFiD3vfacCdLmrmOUxFyGIr5hGPejqZVaWBvKgCrO7Js2NDqs3arA22FWBXD83ZUd8xsjrfB4T4O/0vP15cezC5UVtY4+GZo9p/TwrM56PlcU/QI0kmG3PJbBWbMO7sKYjt9FNBbYk2TwkO2T6G4Eke3ntaq54m6i+fZ33RknXmv5jeCaAS473wI8/F+oCP4zqRxPJc2L7xtttwOLT9DB1GJikEmbvMbezgF1kSCSJ4jdCkw2G+MPwd2prOjUjzuB7Rzz67XN4cO0nkOf8JO63RGOvzPl34RRu1pszYxtwP8ZJvzinHbzZ960Lz9cB3v/cbcpRcC96WwK/vZXiz4310wD8G/grX4BDPHCAHyrHL94bCR7cml084PO/s19AZ10PyuxnLQtbDWKUB6iR18z1M7rrb7KLL8kobZxjwYRdgs4vKYPPGMwB8LGCWfWqOlKU/dacXwXm/Od170DZ3sU7X6RWeinXvxuIYcChfmHDUha58ow/Oem9a+0sZoYvrZk5U5ilBE1RDF+bxPTJM4JPbMtLl5udrM9zVbMbNrFb0GHyt8+cuIWZ7EgqB7kYNGWWF97R/rxzHj/PzBiXJ7JTOzkmN+VOU/bfObiZu4CaPJVsNjtV4bvise6nMu0Xs1f52+wkg5x8pM6rH3seqeN1ZJB+0tv3zE6W0jb7NlqdDDEzfTlJROYC9DLU6E01Fg/gyXtMYxvq1DGLCid1pp9m/HsnSBuN/pMN9p26moAWHkCTnMzuvhdnk8aTsmPGh7+UocxKNz40kGsitBPIxQtwm7hB8M/FZHaLXES4ZUmoRD1wT+jpkER/XZlP9nMXoGucLGPj+EeAG2RNb3bIey9ucwM9dWj65FZHeJGW9rIBd6kbl9RO7vBdzPlcCZyUJ1Q7xunk4MamjxgbHnnaQe3g01eV8/PRiYtm93mjgpi+y02J+gfU7o6Ev54YENeb+0nIgvV/VmZ6JyJO1RC/NUPLuZi+BOIF/K434JrnLNo/63JifDdGv6cjcOneM7OXlIvZ7BkVVUiKin9d5Ph3gdi9kFy9ekUAhexrtYu/6hDlAmqs4vibaHQSYQsxjS9pP39J22+Z+GM3wg4gViCOgk0VqVix9syD6Zy6eiND60Foa+OQzwUnxHia0DB1k1W+6nKWWvMBuDERFLt4nHgTokvptAfA1E7tYoc7Eyp3GP55m2bPGvEJP2/xOUec9vCLu8CuRv4Dn7WkwXR47orROis5KUukAtXz11nlIXsA1xsAfK0lAqalq8cclqi9/rtzTt1CA51gc0KHZWfmBSX3s4Syu9IYsGXeQU1wnrxU428mABjFlFWupsyZWPk+5xRq+IuLQg4m0mpjlUP+UpTTEJn9EilxFDD7+VF0UpRUZ5LzRyaut4NjnmXyKPrNpjJ3hDq5gw70gRvGmWO/N8a/tOsvItKrqY3mvOp1HmV0PHCDmzFdrsTCK71f5U59PO9mIpML8huw/ZpZZra93SU2Njvn9rVLJmLypzfnAPLL7PsW43QWFF1k1F8Arx+p236f3re/tRJ4Y4hNr73+Wp8eC7bxX8Ol6oBHARc4Onhiuxpqlz9VI7qyZ/8YPtCc37IQuKTpebFjnwZQtXqblauZL/FvSa5uRCiZvW9fvLd4nlvlLWY9+hHwe+teSunMH1lAnCzkGrTLBviHRUPjp2pmo/xTs8NhRmunQeRIER+rAPBrsE1P2TXpkcus2UuYpKWzfJiZz9d9SgZ16+gyD3KhzwZ0THXqHNfE5aDTE8ebcbAdyPufO9X6B2ezeYtmZsvJOqkr0Hw155QDD6d9G5jeIbqTX6Dyy8QiSZHrE7D0V8wfQOMhiXRBXIxZcL0BvwSsWL5Ts/Mw4jZ2mWv8VJXuvXqNv549eNy0XMuS9xh0HXkoMZHE2qws/LMhAZ6wjpka4x8+Kn1i3ovPi4bx9hSQ5OASCbxuLR4zcBck6I53gBu+2KXmxgh0TBsZPxTT44Dt9lK4wZ0JoyOvHrzr+1NPiNmGGHaB+w6gD87czJqI7eueaDF7vmXeAp7p74MNrJcbfbb94L3eca1P9dh6oPMDiKegicyZsPEWg3fCidmR5oCWvJc8fYieGWcvBHFyLSM5wH+kosjiSL487vIkT80OmFy8zx98JVnF/csJOIQKW5S5LWho8lWMPuCwd1E7pZuR9HIlmFBg+13bg54bzKytQHEmwrlLxGxmJmTGIDZ3fz2GYvcXD5HuCo7GzCV5LfgGnhxogG0H0fGvjxnytRxTF/LnIrT/UzG5cFd3rGvnE9fPPpP/cjbBlAQpRbuUT0K5+JY4pvegfeVXUDn/9X5QfDg4Uww1UpBs6ybwb2RiiRq2pVk/icz4cbmta7xzqBtDjYVn7oJa4f4b7xXGYr4XGnQSaNQD/Gnt9g+om7oOphdn60UGNdyWXcYWARh/57u4OIk/FrWM96ryzfPgxv933K9QzTdJxOdnTkJdoavxYFYrs+ub7FEK1erHzMEBhpaJk15qKza76V58Y1F2zEn3d8VruwBMgTyGcOx51mi8UX0ssz7G2TBjJe7Av6azNHd6iHxT++/t2SMqvJSOqjta6CMV8YYOZsZnb/bZ74jB5BG/+kWn0prM/rpBniE3+N+HQO05GfBXJuIPyRYb98DiXH2TAe6qnv+IwHio7dfssXXw+/zMP+MFSAe2Alt7+qyqYX8/0We/VMJW/zX/5bCA9NjVGOvPC3HlIcnhiTj6vUFtJhnUe+vLSfRfF/TktUb4wqP9DUcIsvmPzSDjACN6CbqpePyxU3O+a/ih/rtyx7JZPx+KVb5msgYhUGambFiYwmf/YzzoHNYvF2WDHs3JBx8mUQ5bR/ab22+tHDwE+ISUBl4E8ubfLp77pnZbXPbTLmMe1B/QIUKbPXevGYQZ8s2BzxyKEFsNbbXovZUOs2X6/2inxyQ0THZvHVfkiCDua8bvoFE/ZGAfKmF6AeUmCxazQwd4tjdXPUbV2BZP3zPq35r/9emVoKnWugPsCSdejH8NdzFeUUcx1Dbp4wPLSc47qNtCpiXwCm7N2VPLO9OXWtVGCMnqcHNTnTlje50LbU+Ec59HRpXGL98e02/3UQ3TBnLoPTN9egJFjZCo6GWadfwoHc4KF3HjgZECB0ks++1g4gLyLMlJzEaVJCsKuDl7G33glz6BPLT+82yYzLztS6ekrgK+APnt9DbUaE4HbSVmF+Kg7cJCtujjpLC2D87mrDI/XwCE2moPuuWb570DKsmrI9ApZk/CTiL1mN8TMwfH9ZJYUAz64pVffeLIMhnJArX2TPj+Ye5M/u2S4gcpVAnohP/j6565l2iG4JFa2xvoxRu39CEbEfBkFYMWH83dWq31jQzbVUUxxLMN3PXva5eErbR/Uvb+kmTbUQh1l2N/S8b4fBIQ2459PhrPHNPT4UxpArWCdww0AxdSFLcEsK90tqzOtit1fXNCN8mufRchQs1OHajhpSz+vbupQCsaLxrQG9joZZZPgbJaBHXMUZ36EKEE/WiZXdxvjY5FOhCHB/NUr/VSOrOrrMUq1pjJwQZ+mbg0nLG5r8XBfT2xdgWs/+1bTkLiJI5dqgEyOQBm5rSPIgO+gQCDnHbh5k4xJCw15wMcXQ4unjlqEdeykHacl9aXJcP+/jqXrHZtynuU4165XJNL4hD5v/oFnHrYWk0Yp0zMuhx0mDkauFCcNuHnXWjcFR3RdEQiWfdQg6e4RvJfj+DYuzWHvOhQfNqhH+5ocx5xycQ2TrTfSbMbIv/dufAtqN8Z7gU8AkB2lqAW/3HISN4r3T+Yqx+AaevzrARqapLLO3C8laB2L2j6oDSmoGV7wEDIrWlmw9w1kUaFo8/UQbuE/e4o7E8BH7grh//uUgGDCpvlPMssfuHM62gUeBVFfuW2wL9wQoPtm9n9DJzalc7iF4P2QaeeReffGzMTg9R3weOb8RVT4QxxOf16EtZsO+LhDjEV3J7nR8N8rDmaAKeMxtEV1GTFP80M5OO48jc+AsZwQIyBgx7a7iqqzT3lVzLYtAmkZqgNSaeuDeWkstskoa85juu95iqVYu/Wpk85gvracePz9FVHKABc4qdgjipLfQFmkoONgA9KaWbzS3O+w2TMOOCQ2O6zETg66CoVFXYSYr8M1JUG3jUT6tW/YR9s7ilU2GUou4MzCxrwA1l5AloRZT3kWj+hzIF86OH7shjxXGc8wPDM4lMZAhO3tkz2qc0CfTc7tSvTZzFOXcZ9l4QqSoLfe/PCeBEZT/CEQ3wyby367RujuDdetKf3P7dmbPcMNFUTgh4BbcF2fGI0dRjgTzLw9xp4sfEeYv948FfaG92yZOqxTcuovRlvs1ccAjdxm56kbNfiDPQw8DVPcZ3WWnp1uIWY1nezmyd9/DGfowTs/pHs080oOXErHszdrhj9i+mVJjkCPcAtqMfAjRHLTA3syWv+K8aDzuiYOoWYoyb0jiWPd3To70203wCX+3fn1xmOFrsZItc6VB8VI2aXZ1yNoA1DD/QsP5lzMeO9iVmc18CfodYBLyIyc17+bDNpAhv4PEelNZv+qzjt26xkSBLqt2lnzvUnorSOCrfNkv7+OEU4FyJdyHm7qUPyZnwVjw5KSuvzn+eSwwvatWbPxw9orB6+12sf/VK7cg/1ZlG7lhY2OdQjL0tbZcmw3KWtnQSpL+MHmexkTwUG/JVdSZH5HlYWtHniJPc6iCFL9aTMDsygPYl/vkwtH6VO+e9sxU6N+D1l6XMulDJAMeOrYcu74CiE2ppXETk3UE9LtuhKg2YJ7afnXaEhB1f8w5/zyNyucrNzHSpWaGZc/t5xXwOeAl7ufv2+/uupYhvQrveUfS5Qi1ZheKU5W85BR5pTl07b1RojZpFjTdW32edBGIkh1xnw2hU7IIIAk9IVEM7xjjjUSRmRC7a58X176S/jI7yREGtN0MqK2ZsmVDoLAfdFfMP9EjbZ1qNrfztadi47mSdi6jPgEDyXBekA6xFoVevPAlgMPPPTkYG+Vk8PKx4m7Ot+4vgVh10lvAh4X6Fovya0deodiYH7zyUlb9X7tq8G/AZws09H+PzB9g76feKQnebexvRogo5/r/uJZnmbZ8N2riz+JUARMLbtudnPQNGLz3PGpo2M8FoafzcqTdybuTrD9Twi0EgFcg+W56a9DTgC+o7pB7Ew5RovRGx3ypzTnucMNIZozF6K/O9aiQT0rz4e7LikFnn1HtCCE1aYMxDAVNwhCCJCSK+5QJ9rw+MwocwqHajHznJKunY6QnQkzvY7Q2iq+8/LKVgk1uR5jlz2z37SliLjF+AFzY5fqvB3X5tmnAOuLIaX22r93DSg3erB65UDn0H7F450KJAGXPEdnBPR9FcXcxyDvs0ODt9lwXZSaxxWA8QgVfB5+EbQ2KW87YuVP3uHXhyg6ZI1C5JV7cz+LAUxgIb6DJqZqQnqLIGHvEkt/H6ibX+0fnsocoi7EerIruD6UdroG3ASeHncZq7v864NGAP9M5DYnKm/uGiaT4QCLiiGUWap62H1dcJwVK6JnezwooCXSgufgaN5rEuWclUFF6CzV41rsdjwjhMcTaAniNGRxn/e5pQ9gMHFoHGu6fqaa5uvlaN3p+yPBXU4TDn/LjWIgZ5kWQhRHSLgRkoUtu8WTMfEmh8FI62k2vjAENW3nfGByQJMCid4cNPrZtcX44tUGk8IYGLU+Z1r24N616rnZobezhBfeL81HkB5IVIPtKjZTS/w6H+ARsqB19mVJjfy2Bp9/K5c/wA8IYAalCXU+CVvN9X418y/G61HpC0hZ9IX3zB9JGXG44V2vkURdqt+irKxvSYD6FuzI4FLq4Q69vQMjYobfLKIuUikdr3UTuwJriMySsxtQrP37Z5ay/+f7bCB673eF6cGY3LZlhE/V3wiKWhcOvprFcWHykahytsLYzKC72E3ITdbVTLm+iHEAC/F5t7kyqE7fUpc/wJ8DfRRavydOzlsHCkQaF3+6qn4KMf4WBvfgsd8NHtSy5w94HdJ/H69QVxamOsQO4RD7QkVld/ZiuKDKx+4k4ZXHbJBJvD9dMLRFTAkLC1rPQX4w/w5tv7YJE9ezxAD5ri49/wyiq9Jp7KSyqJagaNZOuYB6tg45QlwpXSAHNbt814cniFnjr0UWm6Aj5v+vjtomLkaloEIfD6FHOFwW6SgCyl/+cHOu9JN3cKCzNXTT9W3d2JdXeNrx4T0QSeOhC1hjeINd4A35/xRh/Lb+GU3/RZjuy2VO0ngsMBtWhdUfAC8AD5Peql14Zzy587cF+9FlTOjulNvDcO3qotlQckK3IlRtnhQKw7JoG5ZADnB+J6v+wvlfJ/tzDwrB44mi+Z9Oxwff9zE7CsblquypJkJAT078zJX14zGr/d1KQbgqDymUquuXnmO2QJx0YKit0FjfC4nqllhtx8UtcmJguY5/1kTwDLWE1/wKUqHaazOfx7NUAD3N+91a1Rvrsb4Ugt4dzv/pb+WzI1Bc6JU0frp38ii4tmPneW9TWxAKKc9gy4F7J+FCrlmvSxSZza7Lm/EsXcsb/uMK7dyWp/mCLhWfIT/9kzvtAQuTjR6nbMRzL4siLa25LXxS8G1mcnj7RFzcjR1oxgMh+Me5PqRuJDXepoqYZO6l/QUBgtB+J6wueODucs2t36+hpp0l4zdEutug1Z73bWRyio2LLxeSvhZqeZHhWR4XPWj7nic7fA7Drz3LPeh5vl5yTlNbeB0QdxCrrRJv7GAT6anwE7gexYQI3lj7hMGDhpRZemo7uV567+eoek3fM6o9s+Z7c6ctXERx3yYylTvrcrx5HFFXel+wnOazqTDpeg/7YNldj+kDnXjReT7ldloL/Ngk5mZLM2DggGfdo3/b/u6C2CYeTgb7B9zlpTp/2Pq27ZU1bV2X4mDVCsvByUBUUIRcoDcAaEVQkBKLUWefvfUXNa/L0Zrc401p0ro+Q5JP+gwc4d7lt+cqu/emDMvOVsGFgabg61DCR4k2Zlyc2xmHJUqeL/jAt0Ak94k0mZPBDVwE7H3liz8pzkrwcCxf/ewwTymwDRqffkvw1GxmeV1TQYekN/7d/BjKHbl5A/g+4eUy2tl4zeGZt6E3QVib1Vh3PGCuIpxH3zfMxVznAweqMjb696hAq4w5yUreOL/Zr9pZROkNbU68FIaVNi/Debl/WDN4EfUpnJAtyNTs9eZNs8+KWbgzhhh4Nzj86ZlGJdJvv0R03nFlvpod3/9vlwgyk6K7keF8lHq2cwg9sErcFFkdxp1Nut1WtpxCHo/xVYshbnHo8jc7dzyXo+iB/3DuKk/3yhg68Ra5jZAN/itbwdrizK2vPThUA58rWh8BI+bmbqC3z4VtHuj0/xDon8WjuQl3eGffOUst27gcYiEtT234GEbh5wkjYHvyCGb5JHYcgYvG+P135O7ujJzTCFuX3lfJRt0ygAtlI1vShv+mNPE3L0JNOdm9ugAeN//M3siywTx86i5EHB4WaFSKX7rUK3jc+tAbH22p62ZpW1Xo+eDLsjq6Qw8dH2dVaaAez2JEKUI9DX1v/HAH3mg7qCbPqT+tzmY6dXGt4Xd5mgnvzMzak7S+nTDhPtjZcXfotCfIngsB8fmjeGNCJu5GwvsmzBztq87xAz01SiHLewNzVVw+24cNLIgxtJFui00ziFewPNbjZnzLW6SOhpXg37VE4PW7xxJ91b+8b5JKaYtAk2rAycp0Lmd9h6F3/t3LhppnY+aSkFKbM3XXMewWfklZ91HaSPQ3oHphYiU5cXcQnc2IC8bIJICHgj4brnzzw0DDcJlrITqzDkJoQSbGrpkMH0G//qlyCZcCg4Yl1hI1jvfzKovYQ13wC827E2vFPw7d7bHTGwpHU1Pc27u4OF9kAtwR1SNHQE9UCoWTy3gXB3qQqLhIoSEOIxB2Mevmqwj6BrTt6nEHO2yAeFsVBfC0DfnypM2XyraJdloZuHyqR6DZzXB+7QwKDp/zLU5Pzc99kED9I2pRdoklskxxbBpfvu9cdB2rx53D7n7d28HewA8nJOpOySWZ4udf6XAv9kUbOQoTY75Z8nmH9ACY2nuJ5EfMC0/agbvKeBzq2O7Gm5WUnRmVsCzXOMN4MhInMxN3L88802NkLm3HkCP/eYUHa2t6b3kSvi3wIf+V49u7qq53DVDeYF9AN4reJIBA4/ZWRrOFnfnQWjQNWZdiu4TYt2lGu1T0HCH9W8+bJbTzK348P/V6W8ztUo/t82em6tynB1ifZlYF+D7xmYHGkh3sElinrJ30MV4n7Eto4F3AQ1NCWAJaIRBUVzk09y3gfc6Mz8wHdwP4BvzqHNlodw2+HIOz+2KBTFzgH97ohHwFuDLP9ueUA57FvhwJvDeCfNiafEgH8kJvH8G+9s5uvOV7vjN9LkCjSoxVf/DjSv4MmnOoYps6rxW/3Oo7YOXR1M5grbqkVeOni1N799+b9dm3hM/P2Xk//YKAI3466WkkKD99EIjBe8Ex5h/LdnIlnzsFnBmr5h3+CBN34drxuM3zMhn06OMuv+eNee7CiFzLkqyXh3EkNwrB68prBdoBiKtbSQZ6OJAm76HGWFsBR96qRyPCzZD7MdxJeIF/18vnVRMMq9H9QG+ZMNMz94dRkLMoZl1YvK/j7Z/V0Vp+iadW+HdmyJeTH6vyT2G5zF1+peM2YEIvQSwELCq+25Dk4MEWjK4sWT3x8tPvDZO7sy3xFE6GexvOeEQiPJCrBn8EaA8ixHg/icfgHspBwf0z1FcetT0lnO2OXbPDriZDWjTfcUGu+SlbXqcCsTBn8s05fjlzYV0Y1Y5oJUjxSsL35h1Bh7ePtNdaYP2wmWPMS6wLK3NRY62zXbJXZyul6OtZx48HtImGV6Ti2KemZP+RpGK08DzG2Z7KigdNsavO8Ss7OMdQ5goR5n+6aAB5rMCHMQIZbkVJ8A1JTVzRy1rQ+wOsP/3/0cYKdhvwMvIv7RDx9hO43bni8TuHsz99xADaNuBQJTuX7k9fcr9BY+eg5H+IA6/8R5VuYtwGgwujWAvMHzCTnetkDZzS8H9WR6mwKfDu3dckwc3dy8Ofquof85d6Ug9AFpoW3zc/OOKD/BuX3lfp6MLezJUGHy4SxEazXwwPnXM6Gzy8e6q/msDv6FPg07j8IbUuGUMfCqzjL9AG1HMkQi8SDo3izvbUNnZUg83eAOAK8ymbPp6eb0y42fQyjP4zvnb9DaQ/d5tIrVPpuQJ7x7Lcb4c3fNdaP9ZM5yBLwnErpuZIz8aPiyJzQf4O19ZxGeG48zsMviNRk+zqLvWXL7OiAp4dyb3+w7/7j4VX5eDnV1A/4bKaN8A70AzpYcVn8koPcy6tAlMfk5nUcB4GXrZcc0uNf1aKq6iOtge2nHvYnueq6D0KJ83Av31dZwzCx/NkCnQNj3lenO0gnvC1cnce9HBmzDbfpcjc2XELODOSaFO8JGbOwMP+ObzYJNdO7yDVog/uFgu1em6EeOcgvf7ySfV54y8enF/UjMnK+wcTsuVn64efPelDjx0cIjL7fmY8fnEd7Dr7GAVPR6OFtuARhdm5lc1bJbc+a2VXCrQIZzNc8Z1QEE/mN6B2PpylNj+X4+FAoWY4XM2opROe8AgzI6WfZGhtR7dwW13sq/1+c6t5Yqdrzv4yxx0fYp7bKcMvKyOQ85nqkYVK5ccqSMZaNR7M5h6rGRDmT2+ahDgnZje9Q/Qc+cEVloUyUbpGQO+88pFV26dbaFnkQTbS9InT6w7Vg7zQQKvCKZ9DD6ztvBZ/tac8DmJSKK0vydWcwfvXoGOe9WnXPIAn9jH+8KCmaW56eVYbpIoPiQrQfXIzDw8c88wS7sD3zr3uamLhd2Y9YF7dDnmEzkSrk/V7mvFYTyrYU7qUcpqNPeOeCPAI/7pjSKWhqOqFZjIjc2M+CwFrjs+r+DZ7XMCHJg7/AQ6lbdIP1OEJAFcI456yt9ZRPoH8LoTAeB2sJh7o5sSwD9OstbD9pBP59de/gQfqkuryxMUf7JwOwMvfCvH5HGRjNgmB5NfQAf/p7FtSQF3V+CujIZ8xHacMJM776pvYiFBOL/LInGqtbsR3i1Hq6tIoF/n2DfQ0o/E3BE4+wcTi08jPTWwniZHo2bnS5m/31Ox3yRjec9gDybWHjDTfqOjDZ5rLhszOXJH9lnvZ/R0O2DwbSQsLWx3x6Qv79TpXtomAy8RkOhsSTPLeFJmRtQP8Dh4xg44lEzg996wi1KI80wIc6eIj2URg5/T4uh4fWl6pA3xnu9il1EegH4eSNh94oGt1USmxnpf/rRo8L7K03YyM13wqpLans+N9TD17w/43um4dg9KlRC9dmrr/X4ws3AswLKRJHIlMXZMH59h5VFMQbfNCVLazKjlCLAY8bGN/Ffv2W9uaXlY+ZEN86bu1U4AKlUc1hChBHzopRzOSytg/UO05mFzqV3AB0cVDTO9cbqestilliI46EDjbIM8nF082D/Jb82xzFoa/6/30dUDP3DKBhwBf0vg0IVp8oD4ugvQ0MqxCbZlZ2aE5Y7XJeNtxK7vJW58bNwEeGt54ODr/t99qLpnp5uTPN+fSgCXrs1d9o2Xh++vs5SL8VagCSOzLyvgpMZiDx7GBxZCNFry/z+TCKpeZQ3yUzN/pob3BrgaUYgpiTLwuaALqY+YFX9mQ/YQgXqCJ3STXr36b6wiBK+ru1O2+rGaOl+uOuWBDZirVr6aGaIZxN3Z5QyJxPHOpcsr5miWRsrUmOvEKVfw4M9SbK94khwXZBAsnuvgdmRM/VDBXvd6DuiWI5liE2eOKIwX0HsSfdmM3R5il23a0/u9dOd7Y/O1DtTb0T5fwONRYnVnJUjeatQRxJc64GdZyLLicmxMnUCAWQaanBd/emOi3ORczk86zA8xLqa2cGajmXMzR7CGZxZ8PUwvUTOHAltb+Fz0358AdRD/Oxl4n2koszzoLqbf3XH1P8kAEnGQSOz4UQXJ8qoZkX3gCCp3bBousE6fZPfPwwI9q/Bqzjk+wIv5DWIbHsQcW53pu3YlI38mwGvGI4O3ccpepbDitAmR1QjdZQx/53ZptwHnZOped212lr9fcBB4+OP9nqzJb68ajLrvxPado9PYApUXFfFbxTDgqb7ljP+0LFl5wctkVWltg6+2rk8VLFyIjYfH5QZYkipne6AQBzLAr/0VAj5ZdBd/JwN7CB3vzBmP0bxi0KCj8a62OeiU2OVhNxPdVXJFoILVnjg3N3c2C/hy2EegaQb0kXF8qBhnsvePiTXcQWNnpeP93ZunEfAbH0D18lNK5Tk5vV8qG3/UOrnkWqPa1uf6uY1yAXqNm3ym3zxL25wNtKOX4VGCpuNHPCx3c3dIC3mlDHkEyUUNUpNIv/rbPMGn0XKKh6M9w7ueczneLuD/AtCm90YMDmjMS11wwIjrA3TkJ99lF/A7og47pnaJq4JsycN4qU63PUS85i4/EZeMNVt0Ccif0uZVM3LhAgP/ged8Xu9iImEVorKxlkPCuqfQOM4jeAbugy/Fg+kB2Qh7qqPBzO8MQCd/pmzj/Z6Rc31P2LIqJx5FyEFb7x+g5D94NP/pqP9qwL23GjDD/HNbENJM5ATveeE77hxXLaogsYk7f3CKlipcBBYPMxdj4pGmbLiBH7r5KY0pKL0PNminsjQFvXMgDJds+MurPFdOfEwifMGDutawR0ggv7m4debMqg1sM0sua0PFlLBxHd4mc74lJu1A3MjMzDFGOgQdf5SrfGuofDbMeyQTAexdbrzocKv9V132f3njY7aB31HisOvy1fTXINccdp4q9Bt4tidZSZcNPM7FdjZn3UcbdP4uc2k/bPKdPyYUC/AtnD9vmgYQf6EdleCI8eSL3JpfZ8tPwynZ5N+TE/hr079LbDeJHQDWalE7ttHI38nUOIkG/46Gx2Ht0pZ2HUWENQWH58WIujxrIu0kVnwgTry2kcorRD7aYDnnQ/A6+/qoORqkg64sPLsp4E4zeg86Ng8FsQzaBHgFD60AnBzPl+z5fsdR4nEXNN4KnnZQaWrurnv8pnr1MDOi6mnWLfXfMtifwGmZ4bMXHpIRPdtQlg1oMPDoveiTOw5Rn/eItKE3Ha1lrCM/l5Y6w3PC7+enOt/OwM+XZkLH2pbHGiQpeNhNKRaeaVj/1X8SIELgL9ASf3nLpQwW8JG/dYf3dkdoyzzQU1c74fi7sVTPJrUBjfTGBKkS+/wEf7omvS/NLFbglqPpuZ9b9l2g84WDX8goOhiPW3PQk4icK9g7r3uidiif3AEfDJ6bOeiGnVhLatwcDrMC87KQ4pefuL4BVp5xPyx0jc20rzwb5bOeCGNahod1eILWNHewJ9rLH7ErXeCLBFDdfWFvsttf0hCPba93JTMnFjPFRUzyPruXhXqjpq6QJ2b+4E87DL/9A/KdesPW/EPXxMahBqyW15J54GlvWgQzVvaXW+q9RyeTP/tXX2nqRTYt63wc+SErAsvMfVMaPHUU2A1bwPMRmYweA/35mUY6hXW71NZsfu2hFN7Y8vlgfJWpHZTRPGQ2CGDLzpg2NY/4oxq2rzuOLANMb5zF1IkVtEcnzvZ3ylRScXKphN5lJk+Kx5OylN+OW9B+2z6Pvrx2lHvY62sqPEQHawUNfwIfl4AeEhn3TRY3YJb67WP8vzXcSKb2eTTHpZjLapy/echMj+OVWvsntbK7GmczO4Nk1vZQDuqbccCQgpSVeLfAO/T19LUxZw8H099Zd6ABlFfm27fKVTIT6puG+nUGW8H+/YQ1oqCJdclBiw6w/42fDL0rCRbQabrDZs5A2GE+2NeUqamlOkzG35pVlLj73943uTPDfpQpW+UqTC/eUMoE9PnBUi88fGY98KDoJPDTQB11JH0nW25qCvlJ0OEih+2PckpbMLyWOfw2pzvywj+Bxr7WoefAOssWdDUvsAv7IMhg3bGOK9AcZb77cvjweD0XYQMBJgHPuQPGEvJIQ+kcnu9mHqyVcGJqA8/JNJ/AtxyaCKf1xJ5mRlML+MqoHHmIpjQ0HsH0D8rsxCFDSnWGVzM7hfh5T15n5n5tx2dqfS2N6dNmbcwMgoMYlkPl4rOAGEsC+1YX89pMXXU0d2dCXxsXNHU47009s9EgVANGW2THdhIwR+fkdMvAFxfEAf4b5Ot8I24s7omAHLkzPCnTFslvPXZswHBl+q9fFU3A46MRs/nQuNpowVMe7C3J+F2IL9Nfamx2iDZRcue2AixU1+Pz/cHYYnEK+HLaor+aLMbPzJ5jZdlvLMgs5nRvqVh+0kLC3o4/CI1dEYKHAY1a2l+PVic2vEOer7FoBc9zDX6951RNci9dLcVuWKuPbWh0u6kbKK3b68zhDBouZD1zEj6Luggc0xOymkCjOF8XNunP/+UmTKA1aD6CJ59MDZgCSx4bH2lqATYt6sLM0hM3XGjZqznHgvcIn7y1BOV/PVpZjwBvZ3i/Hq35cMkGtakjhLFmGwnYJsf9mua3W7Lunzy0TZ+SazbE5p3wJlhQPg6LqaNWvPvMQFcdXVz9Nw9HWhLwjTHr5Zcd2IfARyqC55FtaD1ZBPEguEOLGf9Xb47HEjwe4OEgwMdWgVeAjvLwEDwODvAlQmVSkJlqtQMvY+bM9ZjdPhnyF4q+HGz95cCsoD/OnN0CPiI73+EAvAivc9ArbozKMbg0Zt5mAepsQCN38SPvZVhRVIginsHvzWzwXFZ0Mw5xIJ3tSoetUzlXB2I55aAlKrF9nYuC10VVKq4bzLasHr9Ww5l0iO9Ukwv8nUds5LWw18C3iBTho7S6CTA0V+beb9VlBdiQiAWYroN9Xt5zHljVFF8Bq+GZlRTCe50DYMDIHPhEquH8TIr9SvrymdtdQsEfJcDRaiUP8JVmluKlpOh0dNWZuLrPx713hGfPbNgVWh+ojfKD+wW6COXt6Ta2KCZ4h0Oi8SsfIJIuudawfnzgVTIQbc4KE8ec7cZPOSxe42yPdNfcga+LkndJo30zT+tsemVkrnTavjuX1P9p2BbwHXxAEXuKmrNNrNuBXCBGXzXFBOK7alF2T02OEpsJPCPgiKl15KQO4sTMyKOuDPLCJ22BPsWwPVVFdwJv9catm9U4xE2C2x54GLwxc8vhYYPPfUvpv4XuiPncl3eIM5OcsOueeN27YvCSJuTf3MIbZi0fovCvaQSM12MOcU1oIGUTmHov7tfwjonJM96hDFvLUQk0NLS75sOclRP4m0lOpaXdNiDZi7+w6HA+kewAXisJ3sEjNyu2fYu6/x70afr9YNApgB+9P1TPm8mvDX97QRe/OhP0vYfAb7oQr2XL44Gi2c/dfyuJQB8yHBH6V0MHMU3uTURuLEQkRWRoHJzDO41Mxxj6y8nkmA3m/sLeN9z/zlYcJ4M+wnr3pv9qjtQkGDNzhteEorfE2lwy+AOeNGNB/AFxMr/u2vjv2sSduRfiAk18AB3I4kVOw1Pt4o10bqLdyU/ADYeEpduasyjaZWTUG9mzO17Jm+C4UmN5wXZ5VxaOmnHZ5xpd8igGDzS/4pCY+ZU4kuZz36qegzf4d284nvIV36phgLUhnwL0Rsv9t4PtX7H4sgTnLBvtEVP9Q1lMExc0X5SBfx1W0OBv4BEc+t8d2Com9boL2JSaHHOxxP9hKbNFQb6xyYljsS12ErwJd0R4ftBgPrYhsUvL82Ctj/nHFvhVn6qBX6m1fSMO+qzs+dfzVpp3JPzdM5fK0eSPKzUfm8CcoeI8t/SDitj0hNAYNHz6cfUOqxryoltM/hSL9hvYfw/wtZYK1Q30hwcr9qxC3SVcTYkTW7WwFm56zjDeVZZ9ynr9qhk5qtB2zPwM0XdLbmcLcd6Xdlh4At+phAVxSd5qzjeCd2ErroC3tgu6pRC/82bwpiziN4MjWb7dgf/6qMOHqwpzJjp3qelxzORLb+BaxM9sADwO4zIbFy16JbKVD6YfN3XwTz51rhzgHRjcH6xN23PY0z5sSjxlPfE56EpzlklHZZMPwN7QslvzjDtiN1ouoHted6PPPOj6+mNLJXAHP70vKiitUmdPMrI1t33gZ+C9SC+8J6v5b1Nu+iHhqxo2Fx6BQnPUIxc8q935U4gF1phnybC5Q4x6DUUdnv6+Sxwd0H+FyakAjw6/qRIxeLa9x4Plo+zZE/ycAzrnws0tuvVwqHM7Hp/bXEW6yAp9Bz8Kas/0kPh6AG79iCH2iOkzRfmJOTeb2/yFUUnG/20Yg7ga5iArsoekYFNceUsQmWsxs8T0LAz1sWKYg5aN81Fh8EheTfegOruDKvx9Pmye4EffYN20qV9MVhU3DrzvQa1VoV7761a6A/weFdbGs/Zx8XvOA2t4tFEqd4ATDrkerAT8mX7wSVMSSZNDfT246i0rVJBzP23H5HF0Ortyg3s9XG0WyM8GyT3edVG9vurarp45z2ej/iSu8ohFXMHI2ZzLK2sbKLNmoBdqB6MkmsFX6bUGDVIOpKKRLwBvrJoinOz8qra2T2KZOWTceMc3EnUJmzCjhXzxsgXPuCan2yFB2qHB9gQaMAB+/KhF+VCORkfYc4wT0xXnN8fPKBYz6zQ1eWHiem9H9GnOi9UU8+p0vSTrsJD+695qFSaCHPjp9jrT27D+6ylo96xHsqejd5Owzm345arT+70VnvFAA2i/QoX7ex5clwS0Zj2dLb4ivzE1RY79nQ2gS083XE56zk7vm1ZnS7kGFxEFS1n83X/ZeaBFHkjbxLupvW7HLiVUfSvRHVlACEZm5g12QY2moJm/6wk+R3cLH2M/CR9rIuZ7Gu2fCeAno2SfB8tPO34tUpQXwCDQSPpv5ng+7e9mr2TO1vRLuFeiG3MR34k1G42zaaL4iovkWZ62WTV0WaLnb0GBEz62BBxs1xalVdk8Ay4F73cDHWVj7sSMIsOpEnzr8NIALHelYAK0QGjf8PTv2bI4PDho4YE+CogOc4b725e0B5XiELudvi4yGLzmdGN1b/I9ZQdaKKRC5SrgGQnnXPGvFVveDzDzqv7mjFy9XAMrOpsnrLXF+cxyC3Q4YBYZH5s03CbYuj6yMb6Clz0lH7fvpMfGO5g7lY20bPt3vq6wLofnjZaDVzWBZ4Om29RrPOda/cBzvnjZTAyfwOsVxO5WHpJzBTjcFL85tT1GapPReK+etyEt0IGBnxAaNlSADg3zPsCPmd7KG5O/Rk1PgBHbde+fGCJWHoLHAB3X7DrndT7PtfYPZn2txmjcUk0YNEtn8iNRHqBrCWuYO8kFItg9uv6a73wvE7dABHEGGgj8FLygAI1q+PLycZuSsetFsGVsfH9IZm+S4f3vuwA9WcsRvEtYC+CHhHkD+BJytG4jaImysmIHvNdnG24PmHfXBPbXwW4W0HBTHuEKPv8uwWdx+F2gL/Os8CPpYELDbQVYXWRuHLzylithn2vRuC36t+QRArxGM9b8gXW3ybUvG3v+KC0pVf5uU3iHmNkXBnsDU56JgKd5gO1k6kBTylly8KTaTwGrTc5gIQvg3mGu/rDXMTlV5Aaa9cGGAeIXzYSaey+dZxbOM2Z5DZr3VGMfvLRsByQpm69UmH6jX0tiw8r89kCYQYsFLviuLAfNgPu9dbT/PRuBXuc2fsbBLwccfFL8UUGc4x2CX0T8lm0r4BnYuw3w1OAItHelzi6gTULZ84QxxVnv51UAjAe4x4TJ4SJRbhNEOYpbQe5VwV0R/eXb2NLFXe7G30eXLaXrFyyc7ZrpngVfsM/9SBUm91rPTdBljUt+sN0t2OQOi+25iviz5PEmpdxKdzolQ8cyW7PfmhEX4baQ5u74da831lw7zZTdS5dEqSDPxO4QPI8kjr2IwvS5jv1SoI6Acgd8veHhvAEdA/po9oETbLXzbdAjHnH5qVp5Wq3kUnJpl3Ynkr5DNOpenuh6dMu1CW9XAv6t4eWzseYQfOhVAurWBcnoOqy1hefcYNhwE8kOAXfMKZ3+LTW859I292XS1OZ8A3dm1CZeKba5qVfNLBsBv7xiI+dT1+UWMbrlAev8AV72xJFOKoixhNngt+MHaFPQdJxDHF+pE984/GpZdE8xEcC7wGGD2h8siH0b9zy4DTLffpJApZTGRdn/zTf/Nr2OQKN+YpdtFOv2hr/rHm1wCIsQ3PxKJF6+6wYusKeG2wzv/JmtJCFF95OBLwZdETSrvlXAIcrMeAN9koaZjVf1RrgOwLu/NEBHAuLSkT/FoD7NfK4U6bKhgKIDGepoHkpTSx6c3Xqwc2W9b3g0O5LvN43phB7gA2PJRrAbBVeuUzq4oLffyh4YiM2/d1Zt8aexE1MzgMXNpuw25IKMTa/ocfWBy7eFmtQ3N3wy2lpE5b1ii5MMe/jf77YAdBAC+D+S5cGyQfvbtFwH7+DqTY3mt3xcWM0yV4nr67zXzFb5UYFnqR3+Ab4rTW+qXJ8Xc5YFnLvnK7sAl6w5P1smf6OyzpcUMDDfoXODzMy15QifMaSwP0W4bKRmDzPjFFTGG8T1yp/b13mUzMbtrrKWcwa6VQ6KsUjLnGnApznOnQU8LXgDNuPE4ZEISpuwOSTCe6SgFhPYX9LEfP6+HmxV1H33SIISNCygga2rbNg+WmG/cIPWCC1kxM86wN90RZ9qXHaVrbyD0x1YcEOl8XfjHLSMWwr0oRD61oTsThDoNWt7oD0igNmkcjAFnt0Bx1a5sAvgeQ7r5LXD3wzrihXIq8arBZqyIsPtI4+AKZC8JFovUpO7BMyqT9elHOB7mI7LAf2XexzysBTaSThwOMczN51BrKXInduuiv49ao4Nzul2UK87DgKr8qCAfZVjB1nvozSYcyb0JhtvUTahrBJeUvf8VDPPFSE6HGw9l66sktBacopD8AFWNWw/yvHxbAV6E7s9+EZl8ixFPXZeo/lrVuYPoRyn4bvLQvCGlp1XvQKu6w4Ync3MD7e0+IcqAptHgcfHLSPBwiG6rnnfOXWwnHKHWNUoL2xVEeha8PXNQnWztKbmDfmSjDP7O8e28LF2PK8O5g6DzpUDB62gozwHrNzxsEK6AO/6U40dagIF+8f35I4LainZBio29x4y3H5Xo71nwvbSYFtUIcL1hHaM+jkfOP/DqKG5lGyRmdZvoMkPRqeBZhyrEKOq2C+SzYKBLm7YdmXB+XG0v7wKflsVKogxsjHzA6rxHfwLCkq2XTItj4J53ywi/sG63U1O9isOgYdyMcb/9ekJbp50/ZOpGQbs2pfDAHoP9FUU37MedcpRJ879rrH1t+E04Izn0fKco5uA19CFiuJdStGTF3jTiPiQBrc9CzZ/+QBt4IF+4CKzUaQ459mgP3/72ubbMaEQ36t/S3l3l9HXmkdqFKZHkau6Wg8bMqELd8jCQrmA5ktrbnK07b7dyZCbHmTitpPcf3nYG5mUDb6Nwnv2K/A1DfBgzcwcT+/B4UcBvuaAdScS2Bk8R1K6pZO4Z3Om7EvTSxp0mghsX4T81ASECp1tQN858Lw8idSlHcvXHYfdTHGYFjgFn/9Zifk7AY0tPm5jKxbd2APomOYid3uPiv2dTZ2sTK1SEU84DJ65pRLZq6U5vTu5+2WloeR4XLjpYaUC9c126ENw/JqXvWl5l5EdHhpndlSQQQzyS2PjM2OIiaG8lDqGf+hy4K6fqpcai68lGyDWBw9Lh9NKo5QWcScdO+XuP1uu/hHi8ijGGcH6xCXzXrgBeFuCj4b3TvHmaHKgKP/GztnJnK9Hyq5uI4iZqfgGsVmxYOb5ynljN49yalyOUJozD/HIx5R5oC0QztZf7xcn1jJkJkZY96pB4KyAB6PZpQqaJwu3voq4rMOug3ju5UqmRmPQ+cyiQYfUQFJpq1tl2d950ZUy6HQ+2B9q9U2nnqeEVwjeAfYQIfA+btTiiDgvT3Q7K2ZZTSDjBvEFvM2DD7cDdzYPWTRuzmMb/m6FPYMaC5nesCkJurQU8ZrRvZsP4AvHWwfr9CbH2aoj+Q34NlfB4pKwM32SJZ5eNVnXe/a8Ou24nNsCdHaodfJ89xIkr6CZfPgjjo5dGu+bO/ZIV57ViHiAlRflbEHfcATbJG9MfXwPHLFDoKP0ztQip1QtCuEfUvzNbT+l0fyT5e+mJo0QxzN9Pc25/pGcbrbJH+SBfQHnNedr56jwvMC/Az6DmP5oby27bZil31Iufyrx5TVic1Fs+QRlupi5JCzcu6LnL/4CLLuCp0QT71HGh+WVu0iU7lbB1QexOgzvbhZUf5veF8LMioPHwa76Blyejhbwq+ZIjKpqVlLQ8Xb8xQL6z8y1/a4i/KonWpqQ27Xrw95AwAnzkRZ+WfUmbTGxkvGxcFOjuDbgZ7MVPt9vReBltHFTRmQKfCyRIsxCG9r7h19fCRoV+NGD9TXa9KO27I//0xvwvk1+8DR/iP7fPbNAe31skybUTl5gDZgbiwI/KmFmAfDfOsTfs2AH52043yoRXLCZ5QU6tJ7iTTvFH4CrsM5b4F6JEkZez3XIOHorBX8D3Zo2E7ErKs1cX+fozBq445YG2f1gLR4LH/d81Fw5N9/0wQcuyrDjTWnQTeYuvp2SDYvMPWn3ln5ss9LhunKWB+ipvzxYFs0WXfegs+1b5kCcBl1XFwnopOaeaNMzMvDAM1waa/M8rDqn7swPjrwmZj4oePw8vA1sjT8Vmq+E88TcEamRee3H+x1T3SktXxq7rKe9p4qO1TSwKndOJc1Av3s/7aQD0/MnEQuR9te9joKHcnXA9GzqVUmjSQR6IOB9PGU2R7UVczODNx9tl7P5UFo33/TBagAn/84BAmXqG/zK9fe0SJzSwgz0ZS/H2CVoPmV6cGuEjb8TpEgenPpJuwOeRv4uAb5Oovi7MfO+BJnKwVtzcdukgY0J2zyqSbnwTl+5+pfE0QGxCGhefTTDDBlgmAx02IRo1xpUchDwJ4rBT6zShefjBAEG5dWKP4525lXTPEvWPQ4OT2qjeXo/qEdvk7DOl6IrlDu/cD7KnjdErDN4Lf+DDCpUyD/UDhetNrOawcPY6NA4fKbjVgP+fdNJSbYj323UXIDfHfDmwAXITFB4sv7fpnK2IR90cHSHBy9mYLS/PoGBGj1Xuc2mDUjMdvzMuAJ/3P0kWr0lE3+Tp60NnrViA/qWU/AgK4LdFhemR62YfAdiy2tp56pheTKw0iSI0zSMb+2ITWH/RxPYrzPzQ/NffpQLftkH/dolk8TtODwz0JlpFHt1yHUS3AKxUyUJsfFqT+rCcwubAy56JZ9nOryvoGcfrCAfoKNYJvau0syBGDya2uJXHUcu8IcKuzseribHzuQWQ7xsJ3gnO/CwQrGb+c0byn14Jybu8ZyKbq0ccgdc/anNHC4XdPZk5qfdNo3TARZrUbuZ1zh43+70qxfBJw49UgX4A9Q6yazrBrjlh4J+aik554WpKUCUfWzfKvBO9bhfSzMryvb3pehgJ3WfptcbaPjvisWB1NxobAc0WGbiDdOvTfJ/PYLSSp+tg0O4DJFVI5lWzxv8Vn7h4OVEOH/woHzmDrA3jc+1I0cWoA8F8cRM3/2p2+ciu6j+6159bCfMz4AfKKJTsNYOEHWEIjb85aWA15tvdbiQRnRamTwF8J1txLN2171h8PeAzT4F/Xew0b4dIabXAfRlY3ohgbfuBhF6V/iNGhuNHi5Dbc/V0SIBcGSFrQWDHnnVZR+VE6ykj2PqkDN2uwmwBXS3mTG0OGau39H02BvPsK+J2aO97BOL0GwjohhjoFZiy73S/wDPmnvbgw7uuxuz44OC9W93waMpsr8+MPj5DvqD3UtBdnXoiXx83LFAaz3qBZRd3jJgqSKupIb4ddC5YqZv85Yy0Oa5JWPOOMm5KigfHmY+VGmpK7HnTw46FTtoR53zyy/rynjtQbplUXpqIriK1Gdm6zjjZGCgnYjRTk4nmgKez50tNgG/h8rDHD3gvZoTlgsV3RkwDNGpfFY7PuEIc5pvD5UmMWX81cOEtYP35AinZA0W8ERlyeIn6NVNZjzsYMew3hVg8lCZyaBBjGF9HuS5jZvQk8olu3JSh3oEbb1rFpmb+81kk4ddSgbwbM9bwqh+5cAk1Tq4GZNdw2UJa3KsVmmDdr40lNwby/7EI97kp/cny7dz5gzmnBbVrqLE4g785j0pOFEoW5jrgwclFxX5z8wxNR16xI6MEou/+tss2Ob8v/4sOFE7fDo676C7k3urNaeO91OdwIedro/KQiFdIeYR+QBe9bBDzEw0eK+mnoqMTAA7i9/eBgdK/U1uYUKGGNEg+ZsZxLn6ThCGtZhP+eqbedY26JNP0ArP2mY2c0mWRHOJR/WGR6Oz5KV05ksDvNaMcVI6oCN3wR0weWKTLpqPq4eFumaOjmomL7APXlw5SNANMuIPXEjQL/I/HSX2DqzhDDr+lu78DfijS8tsc9+W5hNJ8/D8TMOz3RYxakFC0UBhPD5WwMsd6KlHY3LO7O6Th42Vs/iV27Pi0M7bADDczRbgoEfmzEfYZ3auQawLz86j/ZL/D2tLMbsl+GKBGvvggM7aYQv2mAXv/7MuTN0Xz8qh8xtaXg6uhueXYwkY8MpnM/35E4EspfkT9tWHGOQe1ubAeHdhDqI0wAP4WqNPl9zU2bPGofD9UpwX5fJNGnqHzO5G1YMPC+MxsXTOCtBFE8lAA5fK5q/vcisep004n2EfPSCmB7mL30zPONC5thLbj5yhsgq2tsleZ2jv0CmO2lBJU08qjTek8k0V8T13COy3uDi6ps9NXDXwpjMNa+ss/escoBzPd2WjITX9o3ZqpJZ9At8XZK5fqJ3pKWhmAnRv8LmbVEhJKBoaS4LWVX1tAVeftlbdg2YA71lFZ1utfM96Hzhv9kAjRy37q+VklavsBulDEmkbdJ1Xaog4HsM7NbMCECOuvACXnjHjQM7ziRdq37gYMIl810V8wZY9g4ecQctcsL13j458pAJVcvpykqj7bse/Oqm9tN6fpZ6zXM+4Cu0V8/iY61hy57HmCEegGZJMxHkTaYh78OgFvjExa1aoOR/0wJCOQPukMnx4eJeBv7IHxviGhMAh1O+bEb1m61xqB2GC1KUcljDRGFe8eTYcfjvDjEbDhoEGzKYS/JgE7vM/k1VS0J1TZeFTY2pyInRtmepaPSeUQpSbnlDWYiVBNyQAaBypV13AEXAP9kiXSycGLlG/NW/cxhXZJc9sVYGY8A/4ks/EJgNgpawj9F0P+tAyvIiB7BO7uRysG+x72I8QL3hY3nDAB3j3n0e3NPlpr/vlERdkKfVgH1fdE8ucoextOQQOof6erCDGJnLiK/dKxwszMwd0fFgpWGJzV9M4N9yE25uyOhf86nfW+99CQ+yszRMXcylX0ydyeZ0tz9y6XVmBwJegp/jPf63gcoNmHZ41TZ6YkwRzdclsFFAzXw80ARbcYmZGMvBnAhwtxZbWAv2v5hhfG6TEATAej4Fl+ij933kU51jIG+jDruJ8hyd9S+j/aoJP2xHnpide8gCtJCRHdukCt++UK93O9ExOspXYueCChSgBXZ7DntkIEw2RTA8WvldCvdZwJqECee3HpEeW1J0tonKl4OpNb2c52l0C/lfp2a/DeYK4CvgUgyZnCwtxmRTdVYD+Be4H/S9BI/7e8b8BDse5A8LUmsPk/+ZyXthEQmonF/j7vGI8bXTX0QLei1hG0zPyN3eOskuy0yv4GZP3EyQrB82ibMrxmsL7qNB5BX8f/J4LFB1udr4P/32R027f7LrXuSgFFcfFzu/rACWm7qASZ4fv0Jv42A5HNzE57wTbXQfvKDOeB0+4xAPfJMEWnk2lsAe0Cq5LO+ECF+ouOXlLi8Q72miROrNVcHvVStOkGOwUxbFC/zaw3hGQ/A8L47nWJEwm0NVIyraQDO/IJ+B6JCiKEqbuCedLrblF3WGtQxyzYHCaQA4cwU6cSo8wewSsPeQDf+3ls6m5yAZ8pUh/Sgd1+bBfMsB10PnHHBi8Bo0gA3KXQXw39VcplQSjbg/8n2bw/krLdmHflqmIE97/1t1/gF7+yGycmzkwZOWvnCUzk2/N++wpwEflDk5yS1U5eAAq1KUaVc5BOVMGuhc0IBnPa2ahiNhsoTutQcPZgJ+fDWf3xD17jMlPLghhzm1tCw4+W+fSVa/cg1GE2x/wMoupD8JuHIPGQZmlzVzZQvbqYWr9/pvJBZ4jAJ8g4Lstu2OBt28H0HFh96hA19WB/cyZNpz3afoUsfD9kob2N93hv7zKxpYH6Si/NLXQRUdajT5A+3mcWU6D4PcK08Gy3LR8WMWOeQq8Bw+w5Obuvte0odkD9vBHNuqP7Amfv9N70FiRQuB5huXH5DX+77sQDvRUg1ZrQsAbrrrstA1NHkYlJDBtzNikgrrgH8xaNDE5ic62NHcYoMGvyag5aJi8YcssQ5NPgCIuOJbF+fmbD2L6Vea3l94oGoq8tADcBnxWaLgojTYZRaM5b4e9YmNwPILHpsaszLnMeIRBO20P4H1CsDL/4Q7vrrlWLg2WlAgPZ4W8pkFnyR0CffO6y76ROuJVZdlXeCe4XslJMO8mNPht9LXJjeeJAg/i8ckDdikLtOIBnWA/MqLBD+u4rAdECZsvIEwcLEwvFe9bPq+mB82p1fGRjeSv35fcqZPpdwi6vEgYRpm4OoyfbTzBGgbdr/ZJQ4naQDEy6iqzz49s8o/JTj6IYzvADaixPJs8b8DZ6Pf8sYLfQSfyBM9meoC+/JfA41I0xbyB9xxXU6dp0eWA/QVzZgs0/gav/j0ZlaxsfqG27v6b8blZlHj8l9PONDxfabP8NnLN/cZCSe2SK/jXn2yCdQUP+vJEKSth/xMrWUGr2rrg9nmtWbyDODC4EIu+8xST3yK0S7Er13yX3Gk4r3jdO21BnnLoIvXx7uQUg7c7P81Ma1AODCJxPNgyAlx/1SAMucmnnb4ubZG4LCA/PMrgu377QwxyijEPPKZWXIDuRQ0CT8W7Y71Dl6r4t4KufzAeDwlVH3Scu1bMdyY80Pl6bndyQ5ny+bh99Z2T2WB7vOcB6GdSrz5w/FwK3VmVjhPQRFUL7AL+aqHTbPpGRhjNH/nkf5o5BYZHc90dyKTBB+CbADTNTd9wqyP1gEfgnA0d//L0IhGqTTP924A9fOTCC/ku2JizJuDOz8SaD80QA3/wJzV9o0y9kJmNFPmmHzUBvTeDD1lqpj1l7vO4Bl/d5cQeNmI8bySz84r7L4xieG1WM5+6CeZKjAszHb94L8Ep4TN3cJmB1iFa/yTBEtfhxvROBWOHevD9gEvWg9COZJRcwROuJVcV7OGMAd8pPhtN2pNd9soH+KnhHWUFFxXEs7IaSz3fV+x4Kfj6uBrnTzIN4HHnkodbXAXJhockExEoLkT8fCUFK/SBumDSd/tnMpl+v52JdadZtZtE2Acd9DpL+aYRDpuAb8AXaKXxiYTxAbTYoXTZSixyAr9zyafY1KgAgO/dWnRI7TR8L/ZNb1+Di6XrlzjUKOWlk7LhUY88M3vMYGEzoJc3n4/OxpYc9LA+2/k0/6gRnziLc6IBf8JlMT6vtrKL6ZlbBXHWALbC3zF82jKIyScb530itj9mviHEBMQW/Kad78EedRubm3rm1/tyW9b8zqribLkeHCIqGmwSx/IIyHceeom02CP5uJ3KghSq/wLPn9xxkTmmf08LvqcUpt4fvFqB10rrqSmUBVjCYR85eeBdwZe++kdp9vHuAdeOCpme8Xsnd/hC0L8HFwg8xDwkSOZy4kNZqE0VdhVgmenPlrOpM707UrOPkyLua2fhzW/e0HaXm/lwwfJBI/8HnO0r78vUAIIexXESXldG5bcUmf2ba6UHT03omoSlnXJJMlf5agDMcnVCInPXxbPEJVaab284xJ95IGMVlEtF9ZBzcshdEoP3LRjDL21zoWNgs+Bmsx58eK+Gw3O7wYOHKt39gO4GBz0XzSQDZcefgCuOZOonh5hNRCyaPh5bzlbQQ1EemhosZInw91xgENz03wF+GbvXvJupLcx3zYsMhgunA7y/7SW3Hhcx/bsI05EBCCazg7Uc7QVrxbC4HYDPviFONsTCZ4rQAfD6ZrwO1sFS9ShS7tmVYfwjqfwRaP93N0p2Juekmytq6iOBDymfTfy0ED/M1HTS4JGP101tdTHgAqqETUCPEOXcEOAMzVHcsd9ZCrGrHOvOqcnX2gLQ2Tsh+IP8X/7GHjybBfjZtxE5Y6eLQGclfOefzb1/aaqDeGZVro5S3j1kyJ9JKH9azp8k0gWz8DUz42QGfqsRPzN2feDp7NVo5qDfHPBoz8rt/s5FVYgOoiB+EqqiHrefNEQftR1bCfL7fAf+kt2+MY0PtcXW3NrmgCyRdIwfnJMj4AWjqG/5+V7a2GGROqtV3xWST8DyHjysgy3yyrl1QKtcGqYY2/E3Oi63avLBi/HvfNcAN3jgu8wsA5y2E2gNhGk7NQ7VcVTm27QVi4U1RnUArAVSQRbDpjS9kCYfm9oFLBKLsv/rU9GG8KqCJSopF7ltZs/rMxNmri4+KVMbEmYLLvhYGw2j4294tjOL5p8arC94UIdyuVF9N4BmmSFK32B/yWxsvMT2P2t7Hkr6l2MWEi5zMmxLzBT4UND1K15STkzfhjt4/oCGCyFhF5qeiZTiETzXWTnS9JO7ckdaJJKd6Sl/dEr74EqT3RbVWqJ8QHEj9JT9X6/gSCJUgvcy50eHlsZ+OX6t1WlbJiju89H0UITnYNoHrL9Vet6TUNpqsDfluHcTq1zLKVtBE2sZZYArpEjDGDcDjtiILkJjLVn3el+/tbJs1UfQBYmYSJ84X1bFzDmNOggmJ2py10zfTCHtlhNcswUBVl9yPoN/4XM5bL3jOiyKl2CAEc935Dt31F5aW4AQXNaufnkHh+464CBp6s026YeZ94BkaW0dbi0st2TU7OKNYNvk+LzdyyGzy2L+aBB5ikLlRJSrmjAxNcWYqlGg7liCPxTC1BRwK4d9nI2vs8rrHbSQqGAVGud8lyO7kwB42FqOeCKAFUuHHRIDjxxLx0MtaD2IoaGecMZNLYlNWOLczszOLEUJAX98zUFrwqdf8I4/qF3eq8h/Ye8+p/FMAGiUNa9s4tekLwGDy7sI372js11NzgW2tiseu1seqs+Myk/4HDPf0q75fGOW4tm4sWrQ9aBHOhkukofdvR4XLqjsmIhfz2XXGl3AK7jg1y/S+DOxfNTB7EMM55kzw6fitASRmfV7eF+NW44Ywx7aZNNs5cH8mbE5MXNzgW/eji57SDoseOi6egTWDdUtc/abv/cVgV8ayYpD0OTFbz8bMyfMJsL+aHf+AbwoaG7wvrvYzMF4VOL6SHoftb2/ZM7yyXrSyWGBOLWnOgRfZPLwaad54R+VHTyx0K9ewTlx3m0y8o0AnAO+AD82J22hTkeHg8+Pn6ogHnDwg0+AbWYG2y4eK6pKedrq0sUMuL+kZu3txmupGvBOf4L3z37z3Sh6qo+//ofAifM3Ab/EegnP5+nDyhEr/EPO8U/Du/HoSjfnHN7L74yit4M79yzQe8alDzEOnui3b+WhiZJHLTaPNDC5j7+9Je5SmP6Ht5dPOeTAMWSMV+LGNnOWQQg8SNAmzJpTNoE0cufE9Aw1s+pA888N0/eqQDFgDPhH/GgiM7trMHWk8N74MxXk29RW17v4LqL4TIY/bTOBdxuSjy3LA7tqIo7NXKsWOBP2+x3+nBNEvgn4zTY059PAMBqF9XgDreaneYETtqLc9CQUFPA5vG5A55wOjoxL3p0rAGtQtS+/zM1cHBJe7Ta8nX77q+0a8Lzs3p5uGTHns0aPWvMlAScH2uOZcPJj8JOMt0sazFHTm/6twbM2vf2KzswLCiUjb8QltySwXTyQ1z3sqTa15Nr0elpwDbxt+qZQK7nU4BWB8yLw7jMRBCeBIspSR2lJ/2APz9qKYwKaDuKVNn3mQYzd0wJ0yMj3au1SEpj59Xg4rOpVFxBzNHv1ENigaXRz2gKydzMT8w2+kxgMYhEnOUNnwU1uEBol9QUL54UKBLqbgP7AF9D7x6Tg4JG+HskY/yRI9/DbpqRgazO95i9fHTVuLe5sHO7EHxRl7tEhD9DQFsTzkzJ+Af9sNUKZ3n9jHTzASZKp7rvvBmGnCfAGYv6UhLeJAVqTnZrzsNu1oxfkg9qY873MVq9zbKLY/FENnqaDIozFLnOSpzlTKAv/Rsz9sHg8qhA4FRGQVMjcVZdJiFxzh2xmvLQBDuEZMeDPiCf1eQT+y0byCdjl57BKhHX/+67ro3HsH2J6NwfDU0T+Z+YAZThb8AiSQ4wSWahZuuBvJo1ZRD6AI1gVkJna/1yebwkbEGkj2EcWDkwNaWLxviowCHS5lMy28sJ/8dcR/+aGba8UPDLgBAKtb+ZiIWV6bIr5gwZ2UI3dFTQdeDgZAD97/GM7MFBKmPtmTqEH3AlcgSIZyRNomzTZqXNC5UYU2dKy+bWXNS7mvehVUA/zVbkoOjrayoR08PNqsRFoHwFWj6iqCx3ItXzwwEYmJ59qfahZ8kiZx8y8qmTSpl75DWJqBdx+VM8bSUDrmHunv3PRIia1s/3mq/G4mSWG2MxdshskP3ML/CLHx3wE/YHYAh7rA3hryU1PWrf7IQIL2BdFacmYusTBY2xJHdNXLx1OIeqdVw/k28JHj5OJvOYqZUfHO3BYAzNLx/irlHaXcgxcHnQFxCwgqqJJ0LGmSFZKyXdj+6Z/VwT6tQLfNRAz02MHSmTUS752PuD+67t2wPEi4VL8V4OSQZyij9IlCXD1tRkS0HDcJPqFKsC0ZPGDhLbOx45gARwEXrsUpreovrajWktnnmQPfNTjGGII/PFciP/H1Ll1KcprbfsvsZEa7WEjBEQJRcgGcgbE0RQEpZRS5Nd/Mz7Ler+DHmOtp7pLCZlzXncyN2x51zt81Ta6MYgBwJu7U5+62X91jBdWhq8ajaNl98ANyyniVT1gXn1tEfApPN/mznaz6f9yZXZyAz6+CJQ64AJtfJ4SwcgBr1jy4fZmgB3sq0BZHeZW4hPhHU5m7rcp1Fn1vjF8FMlKmbVk3pVSDVqOeBDfIASiNR/sSglC6YiZubukq3IqZ4GYy+MmeixHKzk2u+17Bo0rgQmxM30DyeX5KANzvgUs+1MM+dqAz+Eot+TXPFIbw2fgSnJ5bkwe6NDeWayn1pKga22Ewy4A7voAq6jMXAjC0Cew2EHy6u3n66rvRtDgIw/lBxWhDWtg7rDDVMiQCU2lk8AzEHLi8l5QFXOqgVO7Afcqhz30beZ2SAdiP/3rMncK5Nn34PsssI5rbbMNsfnbR6VYbGcy2AWzODLrwdwOuA2IG3EJLP1d9/oDPPWGR3/sZsUUWCBga75RFmbAX3uIv2lrdUVx1mceJReTi0as0DG98CpG1sOK3s81nsCHn8IpPxVbcGvp1fQf58BUJy15vpr7MHI/hd0B/GNPS50REV4hXmPVy1qZ84LeH/lKdBaGdttrD9jZAp32qZC/y6KJHX/7Y9+WdDBak0OsDzci+Hcn8VRV8Cxg926GyNKO3sfBli61u75GEwK7uB/ty6Nl0m8591LNrqmFHNb7YV7cbBx1X1TcnrCPr2Djm7T8rV82vekGM18QpOpCHfmTRbA2jv0ET+8UYuvTQecV21vp2u3TUXatydc5+3kd6JCE6SO3yWe9+nPb7x/tKg9HF+dY+wNQS6JC8I/xYP3yhg2alJFbW+LbCSUvjdSE4FuD8Jr3JAEezSjqwjpWZ9P3sbDs8TWLPFa62M1p62qLML4WYcdhLQ5SdJ+NJQMxTLUavNX0237fp2DQP4ISSZj+AunzwSO81KVM+DDxAhFmzhz4ObmArmDFy9blLR3JpQm6oSj/LfysBjHohNG/nhBTzkvuttbyna8JcHdo8uD/l9N+s/DgDTTGHzL2H8XgIQ46rw7nYxbxqGVkzkv+Ad/dVcPjaXKrlMndD5IlLbVtZlmZWSxy5Tn4KReD/2sGNVXrAD4cBQ0iUgn1zrexODAgK9E+5xNoyM7Oij8eduH9u//ux5XsU8GBcf7emYPrU5nb6brfNGGiwQ5Nne93y7GJZB+mP2oWoW/GLyuGzwIN7YNmuWFB3vnYfYNgf1K9NF/zXYI/qfl0bkcz92Zr5i8CK4NfcaVsSmAwd4LYM1wbqoNWpFdzflcHeK/Oky/4P2CXpCpWMwX77x2Y4yMXOGyi5XcupxLJBMxntS4hacT3pmef8bU0rB4Q54p8hBho9pRDdtTFpg9IDvspOtjMagTe1eivB+prQxDH2EUf1EZRG7WgFcHnrCQAFv/4P7a5Pal1eaThlqWBrquzHDHoMcH1RVqtA9jSveZgIZNj5lVtMYfNaCeVjXa5tX+A78BGa1CkaX7GZW1+j+gC0MZ38DuH2k5++8/XOvkBBsetHdq5qwc+zLOyCAK7hX2o5krrGvaVOWvdpfHgABPcm15JDE6mskH/8IvVjFvdCDTU1PREQl+FnhyI7SvE3Vmcf/OIDlm4XFoW3ukoV3PGVNnpU63gtwb7E0L4A/w2qkEbH6wkBj9q4mwKPjIGdvkqxonjSBofIDj8S4787hQCBJRkKcr8CrFwU0Ttb98eo0NB085kHLzTbpsfLFIql90PrgK2XtJCowxYcwY96MC7OMB/+99cM10Sa+/yVeLqjGshNisL0b5ysFuPdtqWSAIjmbPs37oAXpp5ovIi7ekH9H6V0WRfONt7bukgZ1sfl0lWjIuxu07xvw6l1aMowUcb1kHI5WVSYNB/JtsF/q2dBsmDD9uUOh5TZwxe3//NFYF3VWW/vQi46Ts30QH1p2jweJnaItRRwUH3oP2jAr+XBniGgFY2YiuJZYOOx5Jag4Mj+5COXZWv6gMD1wGXrGlkR8qyf/tIU3f6kKOy4VmeylGXYpWsBZ8odLuogVgmJyArtsBZJG1hPwota+z8c3LXl9T1aVZ2SRtPy+k8LalIrKNzgfcEMTti18OqN1n85sO5A39L03I6U4cYXTqmLNGUdcAvt43J56Fa/lD+7sVXvXrkmnmlNJb58XmDOGdq7sgTbJ1m0ZywFd6I88fLz4gVK/Dqc/uOKfLgJLOJHzSck/ZrDjLQZzJSAR/QMTf3xcjU2iYevLcfNe432L3cTU8L0AdP8F91uqYeEZZdU3+Di3loe3ThKPlsV7RTtsINvOO3NselOZ+ZXNMbHJcXc58hMoCwlv27pqGZZSYvoIc2GJn5Gn5aR7B3QvUhKYO4qq4M/VskSu3KlSvooSOlien1HoleChouPmjz9zn2pWEmJx3sPFRYAUnUDjkebOCnuMuAS51TiLpXHbBt8tEhxuvc2O56tFRZhLA/o8WpQ+tJmO0rWx+AG72il9WpJx+mVxz4lTfbPNgwmd5cH9Vg8qO8K/Bdzp7bS93zRz3wrGY2Ai1+LsQf0BLbNBfzPo27YybwSGM/EJG6KGuJQBub+sIN6NIDMCSwhYa9iw/K8d7nAAXtJQHeSYCp78D5B3hGi1q8Br03FibXlG1voKsGk2sAsZ5BHMhbllSNM3dEwJ6MrIUM7YP2ya1lOoa4ktRm3GiIP4o1cemA33fZHS/xLudatoI5vO8gHKKUnqtFiptr+jamEMvJOTEztj313DI+eKAhGeibATzznL3mCQ6eTMdpY/LmTT48Z9U1MzM3zn834Cuev3nmlg1rbnrZ6bFm3M1CL6QDW+oRV+C/uqZPn01s+ofMsj0PoBWnBw5RL8tkoPDuTF8sYDDQdPZ3ce4Ypep4dNtNhrA+cd8udtv3PkxSN/SKyLbMTMQT1UNj/72noFdAcy/Nqn/w8L9zGmtx64icIW4cC4gFJ92tYD+VmZlO7OFxCrc2HabvfEjclA1PjHyhxFK21H/fjW5Ow8s/DjiWBeYqAx01FCGeQTs9uN358P5tKqY1tfduKph9tPMH8Pwn+AvvFGHdImaliAci3B4roXLBJ+BRX5pZSNjVrxzeN7MVMaghV+4LC9gz9qsUuDm3UMZHLkjP4PMSi3F1rG1QF/A8hZMcXvfosbQP7gTrkcQN3V8Ptsn/lGCvaDzFJKTP293k9PGQ/N8sdfffo+Hy2II9YYfvwe51/bWNMCLAFMuhjjkXwV9gFRQCa/9wKvc8RiOJu1UwRYEDX/lyqVgmsAOjp8t6WD6UZT4XeJb9zgy6tiufxPjqYbAj4CuwS0y+7gxK1fQS+inO4Jt09ZQ9nuoeYg/L73LwfmqBptQx9dv27nUfhnTMe3STukth/wPVTwwHcs7F/p23DPyDwb66pCp5UNs8aITueNR57SgXEc4rNjOzV38yfdhN3kFqPa4SkbWhXQTv6yMz/dtcnxRUPgVDI2fDHZ9Jrvrh2fThNY3VO38DmX0Gto0qy5xVpWBXW3xC3RFMLq0Yr0EfHIDrUaXxU5l6hLCLW44cU1d7Gph3dOy17sH/M1yZngH4rL8FNb5en+vQ2zWie+fcnkFEggZIZqbxmfXJTz6guIi2oDHVJ7EJUj2ocjT5jaMv+YCvhAL/9+herNxX0XIBHe5zJI+UITObdA92thMBhLuSJzSaSAVu5c3zGcMR6/Wd2TIrBlQCVx9zhi2ppx8Cz5nyaZVl+Ej74frfHkBP0A4UfGJ0NJWf43xvhte97S5n0xcJ8JRFzCKOZSuxd2icfP4ytiuryrIWLBLUOt53/fXnLhjEB+ofgFv3CuzIzEeipl+U0+X115zXjrk//3dtHFuQgfM0nIva8nYnnboC6Q1HU/bKNRFsScPfO988DYhPbB94zf6qY/yVfm2/lQB+4F2CLbSA/vpqenQoSqRVYXqB6COs51mN3V25JCaUTIbPalsFysbgGzqz5jvw2Us1dqQOf2dYfxHmnSsB8TfgoKU7eD49nwTwgOk1psnhpe0Q8I2FzKy/nRgwaawpNvO06khWBwf/MNABhZkxOSYOdXUOmqGkEc9x71siRO88cyohtvIotBm7mPvYle5ud9B5T9BtKWecnSKFizNHp97k1Q13sqobpyRtOA7oCDFA6J80nmiliawGkrDnzctYkuRlYmpE73xV7zxY0PMmViX7ZuRYlTIAXZiZvcFiLOqQ0xr0LOwHU7PpAeewUwCf1SMf9hE+2q/ehJe01w7ogP9YJ9KxclAFLP4B2rs/xdO7/wbs04ctz9gxPq85ow/ikEFG/5yDHUL8es3vpYJ3Vca2V6qNLrXPwOjhYSXPg5tEvJxsGm4hnu/do/13VQHRr9kgzmPBT3OWJN/nUSmDdZWDfWCBzmowCVG2q1mfJvajqoTvHamyjronC2/uwVmOBQOGdNWtLnUmHbQqu9tVYpnBZxXFSGgaAUtEf6xqBZU0APsG/rvf8go8XrGe42K03DbcZm3Mb5yZGtX5wTXEp8jbtZY84GgGgdAFsC9k0YNWtyaTvjuKEp9TBGwUdUkjKgvsxOSnfZAzMtyUtk77vjePQUNydiYLL318YvyW2/KQntW1pvoMPg+JwbvUwd5pzlMF+4JVI+gTPbj1GWzpvx6Du5cGLsxMng5itP6sndA7IR/V4/ZbMvY+t8kaMbjAqD+k7L7zMl/JgL9p79+UBXrMmjYk1BMNuVmvWz5sz8rdW8XaerD2YB/zyESipSC72slXybv86PIPFpg+Q0g2wOaU6p+33xCvGVu5w0VCgRs3B6u7FGD8DXDJadh+QAyGfUi+VQhKyd5D/JsqiOsFcJ7fumxpdP4sdjfrNCj/hHSZlvwb3sECzPqdIdAF0fLmw520OvBpW4eNCAGLV8R+5WF18ky+ucUP7aBG0/sFOLSHPZwLKnNgx4g5s6l50EWUrmDfnTp359z6n19xExcD87JAXpXTvffho43ssem74RR5cW0jV9LOg71fwBq6OYSMwkYI9k8PqtPUOo7AtKx2u6wq/z7SEh3oYD9gX4iT5jvGJC048WE9yv/OjwcXgw7632eFzYrinAL7ueB31sTUDBXpgL9qq/us2TZJwQZOEf8AzeybXBRq5Y+MTRR+1hVnM7NoMhzcgY90CkfjAiV3GfKUW0uiEF4q+z3r+WYB5w7gI8ciAg3Yox8e6U8lkqy27AsO1Y0Mi/F3+LjqGST/zJHpL6rRq3/NmszgOxyG0AaezfS5r9KAmbpSh4faN7M+yap//QbuzWy77gmMbwneOmbmJhns5dTrEHyvKzlhmE8ZaIQVm/5tAgftDphrNx9ym1xT7YOm4h38Wxf20QFTfsHnqajpqx8Gpit521ddr8imkZqyQF3MdHRglU/w4QsdH8tx5ebe/H4adE6sJDyunS6E9SjO2GcM9/RrjnCI6xT0SwWGT0w/A5ckhZ1egS0ONPDNLFnyy/M26B1HWU00PNR5+mxDZmbeW6kFpD8md9p3U2XB7wEAqUvmmJgDnDNX8C6xlW/UoD3T5xvsr2iZ+mGMf9Tg90+M5ObOhVv6rR0OBZsOjTl11MMC2uDQgK+DyF4LTi6UpcDOiayj2dT/TPA7BxpOc830BZ7zAE65amGtq1UzEnnyxC5W6oBeFNsuNz2euH7UwAL/+6yqsKeyLZXJlCgE1x3jU9GAv2pcsHGhjI+xi0GmJJo8Hk0mL+J+CnwgIoXoED4bZ+vWWl1pQPBJX1wc6w5oZTg40k0DPeXOb3+AGHTkvh7sAVj1dqKE0DiEvYnBXvwlQ90GdPOTWOSCNTa5+AdYf/pfv0rEzbSJk+CHev13laaHv/AwC5cLXsMncaq7oLjAKHnninjU7tIm6H6aAXsc+Zxo6ZteXHJ4bMi43VDH21DQd8XYHcz5miz3C4Vv30bTVESPJ3CeEMVs6ok5c6slC7ce6ORUDEte2X4Fa/7OP8zhPfyneUBTqMiyKe84LdV/s5tD9OoBmmq1gWdJga0xeFjz3omySIVLnMES2+m43EyNXcu8orE2T0VBy5Q+RMmL01D+nv/FgUFlMyq7dUgCiAXrqNn/7qYH+B1r1YPejpGga7pJOcYKuAVe7ETZsLKSfGBbPlOKv9VZjhAfc9AU1+prNv2CK2arIxH2+14P+JHcQMN9Sp18mjOwTHg16K46dfIraMprFoYPCcoG2/4E+mIPHBLnKz+cBuKCScH+TxIeJomKOpDxqXWwvG9V5g9FZcUDqVnfveOyDZwxw34DprnB+zGzlNkGNJkHTOBUfTJRaytbCmw4zmuL/jlF2U0sJjfFtmY+TlWMU1HYXQiRr8chMfndpn+UFjGimcjNrKb3c630jD+zEFhS+3vTL68dLa9iic8ic0+EfyAO/y+nU1bwPsAXYJSfO6vu8SdBuSdDtnCkQtMXClj3gjmm1TDfqBM6p+jiqOG3ZkSfSnnkve9yoTaS4Ue9JiG2JtG6U3QKko8iah+FUNfm7AeVNX2a2c61e3F4xDH4rvg0cIhrMspEdW/1pNthOare9OefKei2B/2/3Dmn1gTij8amFxzE+svR4lchuNvoJC0CHGDDfkwfWhtPUsisNnNbXXMHPUtWsjswF8Lr30fBfXK0vOnEgKuZ9gT19xJsJ7end/7hATRSn5aaFwwtzOZmnlD9qtGHGA0+5auwVNCeOy5EFzeB6eeDO9Du+GUPI7cKvr8Tq3MESxbYl8DrS2hmrIEnjGQxL+0wv3WKJ1m3I5HZE8kHxD8X+HIp3PQpXb0/DVMO8RX4CU/M7b4K++/T9JJNuVpeM1BWopmZvQi8kQZmbti0QIy452JrckiOhTZ7xX/fO3wr5rlYkHtK/TsXepIlCoxdF45KSDhpypNHu/rXyv135fGkBQrdOpBRO+Bdc+4GYBDXzJ8qQMvA3syAbyrSS3NXOoMm9Nvhty4b4g3OCksvNZuTFrRB3vteY0vSinkoQMuanv90mCw6eN/ViiXEgEXFftYEiZkdX4BfQG381zrarVuA4m9HvBGaH1+9TjWKqP3rNwLQ0mvhkKIR9gF8s7HhFfwjrM1mqQcIU5aHs2hyM9MPxtFgoFPXxn7wmsDyvC2vu6lYpqo0cwWwbWb4FRQEP5K7U4h1Nch37sHMgZcqLmtzD9acgfRHLOu+6wlHPC/mnyySH6bHQ3ombo3wDa+S4D5BByuplIkz4FdyTsysta5AwJmDuUdi99TWohi5zJ3tu++cRaKHDb7ZN+dIldXVeE3iCrQx5uijjWQNn30FX29R7i9pOUku0HfLugFHOK8ccqmf2yMp/bEBBgKNyVrtj/Woppp3H+BbY9DL73qij8ZFIdDH5rT745EhBx/99ym/tnUzSnjeqZCBmYrQzfhcmR4L4CPwDt7HhIeLR9nsF87SNyjcsNj321gea45oMW4jYCUX9lIh6O9caWCzLqkZmSAmkXSYrqLUB9AsT6x5TfvkkQbom4WmfkD6r5oZxI+v/NEep22AgixAgE7oCs/kkghzalkW6KJLayuw9c4G23vnHnhG7zdueqUusWB/FBDPfziSo4gHuy5xxIcpyXVyqTiyme3HnIbOwdKYr/kDD90IvJEThkjBdA9cguGdpky/ZiNdVbjQ9P/6fmvmoM1JS5SaHA4b7wvOgWf1JxB8LO0kwOGfKzG+kQ9mxopUwvRJwlxZXlCXPlK9PFaOrouefBZA1Afr37WI06UR4MdLslHl9NsLjqzDmg+mKSjwBTBrA3oJD14q42qj9P7Bhk5Upc+rYfPE59dU8m+C9A/EryNgJ3DWflNpHp+KuaxZDrrf1K3JRxMASA3SAq31Pls+MIZMreAxp77PbOKJsQO/QgRoCqMtdwL0GvB3z8suN3fkxQC/i5FnbWYyAj+djC4xNSZoMjOsv5sz8+DdUmBpxPV/d8hvZquH5JGv4EfDLmyi6buJlX0Kun0+IAI2sEvLboRY5YMtsTq8PEAFu3WIqYy1MHffDPAvFyZ3nKxNtP3OHT1z7uPa0UtBuwOzf+cgWK3tH09CPVPQihD/v1JzBkRxDzHmWEd7jwis61H/FDTxaUg+2jD5pEia2eRg+62VM2l6doFW3Lst4wGw7T09owNwlcCIf7Izf+eKXM3d18FGR6LRuUCgJSOF87NfmF7l8A5Z6mzg/SVIjXKkpZ4bi3zwaOvQIEmKc/eZmRrOEH/QaGux+O+DArc1DOJfebm3rjqytfs9g+XlX4/HuY176aXD9rtZc8vMvmlKdeds+YDfDz4DXYB50xS0jplJAjo1rIS6p2hwj7Zvp+fLBvjSL0wvxWgJ1Oh17GtbEmsG9v29Q5wry/TdR8z0+DtFNj7R9p6Bvz84y3fNble6slX1vt2UeDXz05T1x2nWf3cl0PEE/qdFKDrpf47UJgegA/ZPHvU4bYoVOCTclub3vutuKpdc2Eo6xRJYxyRNhdeL0PsqqCyphaXg/gai/F6C/zA9kmHfPsCn3tLIvv5fT/rKUePtAfp5yodtljNtCWbmXqOp7ZN3TGHMUdnRQpfK/rspAiSzUp2Ls78HKQIaikBcx15hX5bK1Qus9I8YE4+b2tvS1KJNhyyC+BcnAwu6IY06Ip2OtjyhrzNB2uXt830+fzO5IU/8NdtCLBCXk67V6Ic6/1YRkJmdcdL0ielJloPv8sXIj/lox5RXDhNzLq3pIV1eEtvUk+IzG6dzBbqe64mxAF0we9yVTt582Mm+XU5fWzOz5KlKbPqW5rnpN2lpLiJvJL3h6OSCo+0H1n9dZXr4auWZnnPY+rNS8WdR0Z876GwEthEXX1snK6eS9WRv+neK8/S+QwxPwT8P+M9kpjucmi7RS12c+dRYHk2H+Q5e5s5KHuCBee2ZZKZfPbDS08yV4I4KhHiAHyJOaqMN2Py3irzBsBa1zbzd7paK/8s9AGZ4tsX208yl+q/fsnKKGHwSM7XkKMExwRCP8mbkNWitn3aYJHPJ90kQJL5mSrkuMZOgX8wEg+QHdIRPBwbrg2FVcysFnf++Q+ThbGaI8HbU32Y+ZSEWG57HU3HCCMUZMIC5T67J6h+FVlMjNs82MjVDxE8ddFc2rJU9mTpuk8eS0XNiwZ9P+Df7NIB4ZXXv+SnXNp4+6EoewKtWsYIWt7zuNHhahPMOfC/LnYRJrmP4XcBMFVhb9ap1ynbbMQv1uY26H+76H2lkrTmzNqa3JhvkVNt8qk3v8LV798QIc7G3ji7wnGksZmbHjODprNQTDBwUxZd8yO+4uF1BL4VKAJcwDH846Egk2NefOzBf+u61Q6j/LbW5l+2I6YEAetHQzvv+q1MBP0uNutydJmaYb+QJhv/2ur/S+Aev4EFjomvqy9bS92w3ax5KT44pxO1/VwX+qXj5KOIXJa/wqjA+I1F9bT9Tqr8ztnnnzl1JWa3AO75c2bMOyE/jgDZ0yZ5HWLDnn4cKBhd4hRydJa1F55JwWBiwjgxN553kOwW9ko//FuKqD8xUdmI4UdaCwUdMuWg9Ev/qFA8PU0/BDwL7r3zUV16GwOrJgzH9Qc76m7AZtAAuauB2HpA7aLe00JXFGDc1zaEak2cDXM6Z3dfCC2GvgT4F0Ijmn9wyOdrz28/HUnebg6s/s5hcj05yKcT8qI1mNPMsNXpw2l2a2Mwsae1a2JStptc3MjwVAAviwkl8Eaeg732fD8mtsHCKNTKTEItiwOI0LO/PSupYfZxiEjRjeC8QPqoQO6YmC2AoE+LPE3zf/mTyQM15T+jNJ6MzRw+DPmd4fDwba0qoWPqTwGPj8CKNyF6yi11EW2H6vmKqf/McSLx/UqooaAX4HuD33C7OgW9NDnx+JvPR8SKm9YYzdWlM/xDQ0IUlPxuWPLG7fyjxeJzO6E4haknjp1aICWIyc3ZJM7Yb6ug3z/8IcwcL7NiIpITf76lSeemIh1Z4R2Jm3DF9P4mtBfoOGA7+vR0+QePtGlsVVcmc0zCzGny9KP/aGbM3pwHQ9jztCs0fbNzYwB0/7xzpo527cpRf6To4jZkTibSksOdk6E0Nm0HL7q8nRHywupvQXcl7BG+hcrPiZqv1r9cK24bnuTQITzycBrryGUczr61Z0hVZHP3fmQPooA0Lw2vqss3R0V59Tvamj52Kuygf+aE4Ix+LZadW0LkW+P1A5a/ZwcCOMuzSfO2cNEjO8Cdr9GTSHabWMjkk0hbDdBCMvLWelLC3CmuwTuGSAKPc4WfOYU1GYLQLxO9bysy8geqqLNiXZ0TYkG9o4Hf1wL9Swb8z1MH7bF0ZS9BBfC8EYjVbZubqnsP6kqh95x9Kavs7EYH9rTwz9ZqZ0DeuSV0N21X2eoJ3W+UDUCb41xM3vdXsjrrdamaM5haCtVcfDUXewSH3dsWWsuZPVe43EIMete52LLJ/5962IDNqftkoB53l6InW9Wsp9k5tJaEU+KZQopuRxMBvFymALXteEEsBByqUrvJCGM8pUi5w4MYwiHLsrB1NHg/wmlYLfPpbO6y1ZfLm9RcHbVSZusGIF3QgbmHm/wTdp+nbIAedNM8ZbMjU39oV8Ez9YkU2pSLuEhGSohYkAB3XCzE9QXUgYvsSGOgC3+d9bnM5uMzJmaInrfp2XHBtZswUMyls00tUu5SFKx6TtTgr0FcoBQ681qs/0RH2vPsP2H0mpAROLvUm176v+uQMKvFZrN0Mlhzw5/z2h+XRJl+wLm46WmZG+aaCn9Cz6RG6LXmcbrLoZhVmNrXtL5LtwYY6J6MYVc6/pXD9DbE1+B18Be2WVePmDnGhpIMdVTbvpM4d0C1vH9VTRhY86jtFKfh0Yhj6XrmXqzI9E4ptncbqAVw21MOrJ0Zv5l03oW01gXpWDvhO0+NVqDBDKsupmdEq73RAwCFenUYLbt3fXsFY9fgHvItd/M530KPpKUnGJYL3//rdZNAWAb1NQjQrV9/FqEtgJiIG66ms/QO4Hvz6UoB25o3jmTrzj8Nz+43PckeC3x5cVsqB26Ml5sx6FBSb+8+Fhmbu+LDUttqZvhSwDqs8p0slzF1od5EhNz2jJzYyqx2wK6Ptp4mtR3ewhJkX5kpNguFec1/UlLz1F/Ayude9At9PuqJEXlPM4FO1mYvzA7HEZmfNTlybeeQV2K5WYjZzn65Z1JpZk58FNaehr9l1PfBk3JwToiL+o7TpDU/uXKM3R12ZjQ7NmQ8nYJW2D+/AWCQfOhts19ipUxSzyGJ+YAMm+ShX0kuH9cqRAXfSNQWbzheBKtOXnZm5u7CXM+VOZRsCEcNXbln17ge7KcZhTV3ptru5Ogm2ZMUfizpTkpbDQ2hiar2esIevHGJW7SbLSdyuB9ufgU0GNeY2xGUr7ZGHHXlngXqc9ODySA4CTWauss/G5c29d8yST7D9hLFp04qpr9wOAoR3lcOieW9yqibw6/mm4uABbBTUkc0Kc//jPJ5CaLcJFYM3hjhoAPjcfd53IykVrEEHvjrRbY/f54cusFEA2mEVCJeggTUNu880TDIKcYv2w3oCDiHOTAudAL+Z3ixkR8BXsOdcEXf6Ak5jYgCfHwOrO/aMgSMrm4BWUT2JqwcP/r59lFRU3+uvP2smJGsFCWuLExySM8SesuXy9b1eM7eszRObqUnUzHTar7nbXZvBsnDYXY+uHxc9/hKD/mQjmtuxMzlwoMXmCbTlW3/d8mEaaqpRyuajGNBOnrEA7TSonmMWLV1rk1k+t3aK1GT6UjHxZ6164DinWpWbmH7/n8xWn8QBzcrm2xGso4646WsFsWfwePR/ve4FJTeI10mGkFtYZo5W98MivlfCesje13WPFvD1i+mRpV6cll+ZMws2yvPBkk/wC+cUNN1J+wg0DGpsOeVO+Kw1+aIl+sFx+/aHpn58LnQXVSZVbSQHTNFn5U4J51MEXJ7yV80xF0x3sAaYgf7ZwOc+1WCH1YpfvrsaWk+N6RX2I8VxN9TPm413M3yewpTNv/kbKVMOsPCPND2czu0mH8hD8SkEn6VBR0aEV+C/lKQlxJ4+GVo0vc7aTn3Swd7+bHj6lGOHU6c7qOf8zZm3qljxdGWg+QYrQ9O7rm01Z6Esyu2MDgv4hVGNy612wf9a/AI8s+Pg22vg3mJUM3HQ60y9cfQ3+J7PnIFdWZNbhLqXFkY16EhTt13HvMjCeYHYBLyB3+fzRx6qI3H4oWVSpPa/DY9VXghMUmeemD2NEliU2d31FCPTfzjNxHQ4cXSFvfmh6L+rFOjL5AkSJymxTrzCVWc1mP7hej1CfKvZn/fesE5A4q2WZl6bAzEcwx4HHeF/mXuuXGhWG+0c+8MpIkdsc6nWHDzTq3/ako+mx9ifpe3btVgxxAGvaG3gOMSvBOV2Q+W9GH9nqfcUbKoIgftDPter5KJU3Sn852HBTR9UJJ1uNbXhTbl36Yi/wXZkxbxMhR1j0XYw9ZugBW7tiOJamDkF/uF1podAazLlgk9/c2/dgglA3AH9MwNnT5+U/30yS+XSBtXnqk9gsQlY68k5x687/9FLC9bCs/CMUtkfHVPntnWA+7+qs79vQZcRO3zUEawJTTKO0Pu+Uudn5PAVPcxs4Cb2A04xO53JHXgjp+MC3K5MPcXK7XDJGEmKgXuMy/Mp1I+K8Ylx0BxnYJvBC4tA34BdF2xPXi1kUESYgy79zeE8rOx6sHB0CrvInJGdIi+BmK5ViGpgOOD4jX0acXni5Jujwc5CFeY9/O5Yf5pZcHgEXxrOaXv2LwT9BdtL763Wsma2pqZG3v2tTzkQ4QXKxQnoMlNX8qpB5eY6MsSFtLa7RodOgaaktrWZx7lrS2ABB/cS+IgjXdExXU6xyde5bRrGK9hTe6HlT+sC9zk84YL8f3ejps93whqTBwhxsuImTzddIBb2oH0C7F7W1PEgJnKHWXrGDjE5mkUDv54ilIF+tSmfHnWMn2BzHmWdyeHVRdSBR+GX0zi/GRu1/533HihlwBf4zge1cLDnips89+n71KsJhyqQfXLhonpkfG/LEh8KxsHPL4wNXKa7bXcqbnfVA0uN24yfgZ2tLlYhe8hxfp8t8xp1NxUACcJ3YUPy2cTyde5SlRMVQ4KAKWQa6LAVPDyFqsu56XtoExxtnEYnGL73noq5q8Q2Ar9g8q/7lCY8DV91aGHR//peyYdJgxq9m1l5rc13lClLnJPczA1svm6emXGflRJ0pnzVnQNvgA5FlqndlA7wpMO/wPcuSgBLrTJLezUUnF/ViJ3KVfd62L5ze0we61jEmB5dOddRtytMbaCoLNi34JKnZxNUHnPg7zjp9WihDaPD9Wjz78qyzzxAjunvn0Y6Nr0mgOeTo6V0BhqZORL8Kew3Z37f3QAb2j5eQ/t05inlCLOzn+VWZwgPkFF7r9zE3TbIbbacKDb1Zx8V969CT//1EgQ/AszUyXMHb1j2xNqCup9Ak9oS7GCfRt5vrTRwRYaBbxuxuXJEPsH7CbniBGvUM8HNTKoJ/Dc2+qSITI+n6U4F6I9A7qtVhgX4ONDbEDfTu5k9m9ryFVuFRvf0DHoQ9MqbAdhZZaxMJB6AHwUwsANuoaxs01MAuAXnNHGbPnFbZnOuk5860FkadzPViWV6K55M/3jXn6rRurLI9GdIHrhM700/eAV7WDL81SkuiVPgYjurTV0+m0vS65H1nelZe+GgI3noYTreQPtvXfCth5Pppx39c5iNF+78WRrxxzqh5FiHs8kLOlKxZUx0mIruTE1viJX4b20O/qUWfPrIz5jxoDtkYgkYx5uiT1hLh0fu8M/XTLzQvsN76Em0BT7YP1Mm/3dfAupHcNBQXc4YvKRxjl7zxiI+stDLgDXfc+ieLVvAP5tcMttjGhNlbUlu67oObQY88Z2OdtcMFwe0xwVrf2Glv4F9BG8K4o/JMXU8iKFmZnpyxGe2UaHcFwGOQE8nylZhJaZ37tzxaCdxboPWp8nF9DzIrSVuYM1A74amZy4DRdK4uIDn+UiHYZGl6T0OfoPuLRpo1th4gJiwB/uYQaM/aiSPJMJ5zmzfzKSBr/i+u+mJsd+zYs3oHalLdrD3AogbvIF3lbs6zR1k5myZPOYYPv8mh6lksW8B3+XAGN/mrhRUgm36isL/Ds3/J3wyfXFLiDU1sNib523Qq1/qjDVeW5NXvnBNJtwP9yz0JlqGK4l5guF56hG0EE8c/JwlBW6vh85pVzXjUmv4nml97s7pMK8nUK8nDjF23Bbqa1tI+7euLTPzFBlSAejcHnzIQ4YYtMn0PDqYN8AMFXBNHfvHU7y3iaOuIuQ4LbmkxdY5IblnL+ZaPFyqnlpdCHthSG3TKwczbPqE9+8Z8fO3RJ0wPerA71UixqLoFSwj36Tw3mpLfTZnsgd+niHugN3O37md7BqW+AcXFSfRmZnu0ynSgRyAWbT+bCJv31hTyF0tGtAu7UDeZ3omr+QqKTyVk8RZWT0OzuMB7/W7ifAK3PyBrT+WAnhrz3sXm3xVk3MiSAHss6vLFn6HqclKqsbq6pRhAbH/CdtiU1ByBz93BV3w5o3Q5GsC71yki9Ji5ZMawL6sLUtN/0fAiVNo+6C7PRyrTxrpBHy/je3uYGYhnhCuzIwnM2+2GL1RlJ1O3Rzee7c3+SgFw2ehf/NFqbRTYGF5PQ0oAU55As+Zu31KxA3iLelazbsT4neh/3mV03GI7RL4vhS9D89vXdM1dJTe28AQ2JzFNAEGlgWWL1PPzOlTtv9mACv92soj+GY6YAS0NYO/GAoNtmnZuhl4ZPqoHe3Qete98aG6UodoQMGYsQSn1J/r0cbUIqCmtqYONSG2/oGfBXkJ3+f/5t1MXIQLHecej56uxj8OETPEreRa937E3e6rtmVxOmNg4NmcmTrAhZ/U/ftsqF+CDx3kKA9tSPLW4R/wsxthiKXhfiF9sjfnWxXn75qsfd2zDbNmh5/V+USBMYAxCcsXGSZHIbYfmHbAr7cN13wy3AqcVFEbngG4n1IzwxtPjWbuuw9JM4DWiEIHuPRR89Q+xf77fMMDXnDrIV1bBzxLZGrDhjvh8F6KLaERgbfJ8//qUaYVh39edaQnyiHSswcX3ddxbTfia/5QwL3E1WtrzbfCnXpR6gC0QVjbv3VtVxyBbofo2OjBMEJFh9CW3PfZcNlUlmdyqbKqB1uP+J33eEgHy2nW8J6JvX0ERQdxf2U8oRT0ihyTCJ7zoxjA34OPAu1JCmGj3/yoEtcHV6VF6DnNQBYFPv7gdG4KvCZX3kmwfvBHk7JuK6ycnzHr8ZqvR/n64kfR5bIkBS/RDXzBV8E7VgucHxwJ9qm/s6D77bMEPmeqbXKAPZsaG+bn6ViwP2tjT6aPdtdECPa/neFeETqiHR5xn1H1IGIr4Tud03GWok8XRU3fHg6cj4I0nori7JueXl6qf++JgGe7PUeTk7FOFgj265rU1JqvhA12xZCpg7kV5eDlpr+mhUx/SdNzkggk5ywawOcoUYd/7EbcHrCX3Uyw+9HxOLfkQ3K9p/ydD3Cz2nO3iNDMUsS3dne7puNSY1u6iieemfVUAPMeHVBHQwv7F2/EsBhd2TcjCRuHfKmg2jAHRYz7SO0M2yZRLkjAnA6R53aTOr/35oc2lv/N0VyTQxrNO2JJLxVb0FheyM6okC7oSGZn4Hfg3XCwP2U3AclISQaI47+9yci4/HDGD8c1kWDb9quP3Ui+2khefmOl+AeApLAQyKJniHv2sKHOzcGI1+k4idzZFv/V/fyzZIRnUk4m3qYEfHIrIIba/Naw+YsCyysnXbiLRKMvDxnoH/Dp1PR7f2uHE+eRZFNy4lMMHAhsskS4NP3FZc7C7aepJ8OO3MMq8mr965n+EKdhfgrYf8WAO9OnKRX2PaXSERBZYG/SFp67jewHDxfQcPvf2kAlhidfMaste1Zm/ixN8nrAsFLIhbh7qyzY40h/mbOGlG13WUSKwm2vvLw4Ytg++Nd8zujgHU3uBewNk+uPkbxxd1qL0MzZ5G8//ziZvJ8xtCu32tCBP1Nrs576ZGzdf24W6zO83wXijXUa7PBUzB8HxzuA/oC1BXINcKVYN+SUrfXomXkrpbIvm9pFpv5iqh0ywBq8c9rNLHLQbdWDwPcHHyEa++9KejM/5GExt9s05VRgsLPc7Q7FQIrWsovmzHVNTc5ie29B06XABWw3mzzVb0z1nQygYyiH9+Et1frbHzuhrppevYGtruf0n0P4v0d91kUO/pwMnVeJ9CqC5Fbp4Qm2ISHOOxBDE9CsK/xd0JzkkELML0D7wDs2NUGfdaw8ac5AHX5TYJpvnk9j0GuDvWHl3qtWHooy6SuafIO/vfAR9F60PTPLM/1eJgmap7Z4iGP/u431Dw43C3DlZGYBYo6Bc/S9dYCOAj/LgvQpd/NYB+T9XKDr9xtmgz9f02s1LkttdbBGJFQRuRBzrnbmezF0n8AYBxz/vRa9TioWWs3uz930o2K7ba76PehgXuDXvBzMc2cuQQ+/8w/fMwo94KJLambjlCYfTpLGqh7U+fM4OnYgtJ/Xq+9z8Fngr+9SJJaZAQR+YuSoS1WQfIOpPZnFv2SkPPXfXcIxi7bH00A+69BLpDX85rRXjmdqqeoT6mrQLwy0z1gx/VE5qC522w/Y16Tq5YfpbVy5poYFOMQiF7miGPbFRzqmVrESu7bmpLHwgbAlNHUcQli2iiZgnf+b8yiAFatxeB5t8t2g7sxshIDvztxZcIuqh9KAWS7izDZ3hv9WGgz3YjfnJ9YJ2A/7JsSC2IASUbeRELdysRWtmHAqul3u4J82kL/3XzQkfmp5bmW9+gQ+6FlasF9qsIVL7ba2OYOUpjdtr+LW0m4WtqY/WFebmc69vLTC7kj8mqtJOYP4zcw93DKlJcSy+B/4/N9Zz3fgz3sT3RwzI9j07iCv+QCJbgL/ltHKE2eI90z+KKqqhhKgmel5oskgkeInnrA63m+yoL1DxPYq/W9JHc+CfTXC2oeAnt3RWX7jcoo6F3Tgp5n5QcvJ9EG4q0A7jetfwY/ErVM9mrPs693t0bIZNcKcYXQHQnOvcLALGlZXrqm/mjIMrGVy+4vozyYduidwx5qhN9vcTM5fXQ1T18Q+Nfch1TlBxVpds0g9aJk/pFA30+esNvPh2MU76eFB2N6G+PtDSl3x1R9ZAN+rxATiODAw+mkG73WfcipRyVn31sthOt4WiMUfsEZf5nukgcmTwGHqyIHGfkbD7Ue7SmDD5IcGrQd67phyea14aKlz/sBiAg2GD9xONsWaPNSYu02k0cnsA9OvfFh++/dWmoDfxM+KSzPn25zRcPARGvSvuftKCp6c5bhxJDc5/fMqS/V9Gk2fBmA1jT7MPTv4lrzu8yfVeGE6efVATkGHnkwf5QHrt98AO00YW570DHYS6w03eU9M3U9mhmqxfd3zAQv3VHCIU/BvdPXqj5iG2zst/1mqHDawjyaIrUkTsCsL7YxHN4/FuqzKC9gIe+/5GUfSIsMszZwZwaX9vzM+0wO5xtFmwUG3wTZhoJEezZivvP/f2RZoVumgoAGNi8fkuwj8gNH2ztH+qcQ2ULCHKU38ov/7GysF726YtqC/Xv25ZG7pR4qwB4zccbEAQ5PpdU8w7hdgdqHQdG3LLqpZa+drsiuEN+NwWzTslXeUF/HFqq3HM+P+F3ansramdw+TruBkc4q7SoTyE1gMmHsL71YJtiZFwV5nJz80TB8KOJOt/obS4ZqJKX/1doZ9wKL5R636CmokIoP9XfDJSnudA9MVYNs30uv33MCL5O01Zw9XaTMHLd/Qrz+Pg+mRzacnHaYYtOCVC31t3eFKI/sDbHs187WlrQ8c4mTF1L7Y/XGBVdOq5yv46oU6sHd65QIHQbz6Pfsy5zYRH5edXE2vBxSma+Vi8K0UKIA5F0sCB4rQG8i4/Wax2lTjjCDOmb64d4FQzEuM1XMOW6FWKmTVRuZeHQSn+HeXQb7Jit9eBBj2cQ4a7sjKqRSlHzVuvjk6QK3DxQaWec9iqYHNPznle3L2V2wjAN8tBS2VcEpQzScAem3yxj6a81S30dIpa47BrzPwlfH77gZQuoPY2acxuR/WfAE+v4hBHxRqn6zU8X8zrMmgKP7M1xA2iwpbR2/aNfEqTjw2oC9qFKyprT8nu9Mgv2kgg4qxJztjc073fl9pC3pejsDiK/7AAZ5aNpj8StAS21KCFdZagu/3HVpeNlkM6699iPG4y4FMcDRNhgjMuVNBZU9Mjwawi5Pgo8kNb+Lpkq6/2uGhmD1ziAnFaE5R5K4deUleufn5tQ78T8P11JZf5p6cIBwLEPan8xTBKn9yJuE7JQchvAW0xxO7kp9KVZo5WadwCUkwOJxt3z7qBzjrJx87VwYqK2IyNNGiRWTXmZB1+vzjpMV2n7IlazmqT6+ZeGgqrPR6sLYHsHfTr7w0M+FxlIO//i8/qh4W4FCCZWl6Gv7mtGfSBj8HsYZEss44h1iOb+Dv97U9ZW04f/Excauy60/hfz0xxDAltajAXlGXjwg4Dtg95ARHpo5fbxTEafAptzZQR1jTqXXstzYPTe8M4vp1E9oF1r5djfY5i/AnaNNLPmhGQLfCOwF9283FiCT+Apbn01kMHkqdy4aFmPA+tEFfdsANBx5PuXpucRZOT/heBPj5PRfGbqmf5LwDoBi8V83NYJszVpet1d3MUGgs2GurNLV7QcaQkxW31fQxK762ucnhPkUzzs+8OLEtxUI6ptcYX9UAvi8FzbbW4jc39X4y59MO6vOvWTPdwfdEAy/mHP7Oka3aToGlMNOsOufPozPdyFjZOCS7GtgthbgmLWCIWEvgDKGGjrFhmaiFa2rrz3poncby3lrvu+bIzRCwEPq3kHA7q9jMIrZdHIbwnbso7TuvRf4Vh9pvgwF8w4zSgE/w3jMGsZSE9gc1cx7DJS7G5diMymNarQx4PeeJqY9919G7KmrBlyFLxtMD1k+kPVqoHS4QQxOIob5g3q7uu5860qAhMYKYbfpnh/UInDuAFnC8Gey6L4bE5mc9g88zMRX4HH21sb9vNHrb12ezJoQy/gCu3YAO+cajvhYj52kgD83azRlPyhrW8jX3tiS5GG4bKmxbuZVHHFOvzj9whBNy1jYvtSP7JFGD/YkhHkkONl92v/2IjrbWLJBfbER7UNSbhneL6ePW2vtn03emlNaqo0WmHNFTQEZO8bexOwqPfhr/6yXBTS9DAf5y9c+NY4P9oQcVewf00Ueq/f/Vw95czOyrqQA/CZDTsM9ZP1wZ8rti4HdghqAeW9AUE7A9SfMziYHFbtT646Zn8PH07yIHmbzjOOOw1pRcMy4X2iMMvuZ19/22L4gln+mwWcXZf0jOr0XsL+aMhI6T1b5qcKeoKhPgnX8mrwfYigwkDOHvtC4fbPCfoCMRP8O+gGfUX43w4L0j4FXSk2IuZYl/+xE1YXcFXvgwNQVppDpstU8VzZ1CcjZ5ZDIMXXP2nDF7VWHCTqCNUmbD3ueMwL4GtnkyMdjN+nfDbfzBgT9OXBW5sxW5UJQN8/S+C6BMe8Ba0ujI0/myspHsJMTVZuU57bnpJYLZqDFx2k0BPqG2yTFf/Sd81lcWog/Jh4fg/pFHG7BV7nGbBDVCq9jNn4JiJ4u8d/8N52jJDLTC9WT698O/ZVztaovErEdZHRMXr37Y9AqJqLq2Ab8UjKSg2b9OsE9J2D4YUzPEsePRwXfO/djUfjBHBqAz7xAvsaTp/Td+cYnMWVXNcEFL+SPtC6zr5io0sPZZXhX4kXxFdcNJjp3tpXWWI7G7jTqrGXS7me0X8gj0pEu+5arzylaeyeMDZf6sg73Lzu9c/ZuDBU4yE6N0t55Qckg1/DzWR8q1x8R0bcBGOMeml+8RtMFa6+kblgB0L3iBEO9zQfAp0piuwx045JNE3bnq91cW5FfYX1fwS78zx0FzfbRukuZOR1q7K0mPBvAvd2pqZiD2sL4bDqChU2uwlEWOxMHnZrc9NgyB5vTM/A12AD4BHWFlbP/kKzLzFO3W2s4svNh89N4M4PBeMhPDc2H6V+AjxKQ0NTNb++qZjg/nFPsmd3JDUXoXPfDA4D1U5Jn6ESQHgvnO1B+gAPRDVgzLkY7qYvrSVQMKlMtT0Cvv/KiajWouXDmpYcbt0GW5BTYZJzN85/OJmTwnGZxiYKxi3h0ceT6ZmeA9udb9q8ccYUNyboSWLJquhTV3XMuCrQi9zthtnuLot0/FzvQ4BZ28Ab1VMSpZxf1CMJOrc3EhzvgZoH/2qoVja+P+A+bnwaumfyAfx7W7krVa61Jfa2fmsIdyPmiOufysneRh5tYVo/3W5rOyvPN/vG4Bh+m6ef184wBfB6cIvr9j/yhmes8mizqbWCh3ykb7V2206fHn3O7cUnljVc+G/10KS3+YDKtT5GEebWNRkrfWy2qXO6A7sOmznZ//Po7WfK3sBPSjCoE7WRbkd9MLkpk5O6X/4qQ0kqKNwuvRmmoW3jYE/s4J9GfBJp/AWojRyytm3cFf5cfVf6+hnz9v96NFDsdVI7nbFiRCX+BnfVFip0D769GdztXXnyvoxoWF+zuL20363H43Infl6q9ZoOJWVE4bTgkJ5VLbfkRc0IygfTL094mtx+8M63Zk99MIdlL639yyrtTMa11JRMx3HDvwtObcjOwo8Kq0JCkC8oMjM0cVNLyFz9za1qBxrrDnGGiFRzOY2dWtB+8yqXd/ltOo3v4QfKPJrUrSUw821f+zT/AeGvs1D8zkjAXVYE6rkpupH6VOl4M9E7D5BJ6jB19yrEN1awceZwKFZEyywvF+iuHPk4fhCv7QSp3Hb/0XjkjcrD4SorNMv8mqR7oNUNf2wL6lHOHdHs18ywYpUXOwHXuwDOMD89yOrrwoTeK81A8xgFZBqC+cpJAa7Qt2WWVsanin31x9HCceH+WYcuxi2NPFOJUVTzIZhG7z8mehV1jsThzvgV2TE84D4OpNBTqGi/mVDwB88yltHtRx+8yZ/XF8zhtgSVhrs2+S6q1TZACMFnoZMEVv+BnWf8ccgByjM0F/tFG3g2cE/7TF7NztiamxORPgMjKeQi3rr5sN9vWoHXIgCMiVcyKd2W3KdhXw/go9vWNKwBg2PZqmwtmCFuVgf4ooU+cwLDONksz0OJHgU3nIvfY8BdW4vUg23XMO/MdxRQOVvHIhXWl6tzlHu/Mz2kWM/t2YM77m3L1rl9LcVh3whI+tPw9lYpiTmHOchCO/KgZ5VqbWk+IjBQKEfXlPdeeBVjtQc37YJ6bPz1dD1Ue64h8FPltBDCHh4pocaYjhZVb+5hEVclwsBuvCuMlb+H9MfWuTosrS9V/i2tF+bJSLKEVT1AXqG1BGIxRIK63Ir3+z3Md53jix48zsPdMilblyrcrbhjcF6+p+ssG370kQ4JriMxm/bOBUA+jtaw7x8GBR4CUxgZjs1gpBHDfW8jwnuj8M7CXTe+BrY3GrXbCruuB9Z84aO3gezR/7aE6gbW/XzGhT4Dnfuif1YKID4csA+gh4/OcTj3F7sNlwtJlTqy/d1/zChZow0BwTEuHFkcPNEWsbZTn4f/B1Twb2xiguw8xMfDblwBvq/raA1k3Zdp4Ej2ON07qfAUUtrekmrQGP8vN8SwqvZUWLsN4JzdWcj81KgngRBnAXCxX5OPmAZXvcm2Udzm8+b7Je696LI4inJxR0LN9E1M9M8rof1fstVXg0Yvj+vZUPKKl6wyarp2dEHWnogJb8AV3n+vVz9qiKR2wtoG88xGws8n76Lot/+2F3oGNiZOGtDB03J41F/eXeWGgF/ccSf3PF/USIH+v6Ha8ZNmbdgebmwYPReay4a8uzzp+yY6Ww7vM5AJaSjLOiMVTEerQ0Bn5z0S0JZAs4IRgQjJTOBxLBu6Tt7lQkD2bvF2rMnFruXudjmd77DJwPtFd0GksnG9wojwIiA8BQqpS01b5+bjJcBLw0le7j2ZWret99GdLvHwdjBlvA98SQKXzudxUpg0fxE87KrK3Awra667t2OD+Kwodbd3urGdsCcD7W+TM9wwBsuBAscPNB/SEiwqaYrsxXW5Jv3jUVRPfo4T64Y4Wt2oz1/MqR9WyFd/+/PHlzzXqMqx1wu3CeRSjHOmDPKmIT6lRZr0rPrnpU/uaGVBDnQ1tUBHgSY5WE6IL94F2basqdZx4tJoBn/p0GU5Wd7m0RoaBmCHr/AVrttUNI7+kgHO2rHXZRj4Xua8+H/ip62Z2G+Qp655dYOC779vhf7cErH/3/zayeXcCGLB+DD7CdioMWrXp/oSZwwv/6rP+aMVvRcz6ifhnxa6aTvJQG+4XYGgMP2kleuqCjOGHBATTEkjAGvw8c+LyMDKC54Z93TgpiroFAT6HnxkVmnJIVWZmJQvD95MS8mwD9y2hwzQh9ytWLhOWWIqRrplQAf+6QgxZvBrFvCt86Pm8W933jaLjfx+cGyfzTzJ+f7349qyE/xitnYYk/NGj/v5mvO9Tt3GPTGxrQAtKSB3G+Ocg30dGad3nXPCkpjcb2dH8XpnrP7qj3m3iO3hOV5MARDPMIcfo37947TW53FCB8MCaUjcKEc3kyBRwmam3gwKD3kF2edf4EbJkqPRfRPtioLIfSOnWBDfbX65kAdcH0zgywW3hWy72gkIVc15HufCvl9J276Wk4L3z0bcCW/GgFNgrVQPRMC1N+oOLHxkB4D7bXkzFeEx5/YDOgwD9jSuMIOMOq63fAHg5JCBw4/NGzr1I+tJno+hVzdEFm8+6tSEUY6zmft1KBvrB/rCP4oyiAbQ6uB4+0Bz+45/2MZXh5Nv6mywNW0EjMp15UEH9Lvaeu9ktHWmA5NvsG7u9oLYEtaedgS1kn3jhvEpo9pZouJY+N2ng49SBSwidM7RLOoLVBs/8mgfrFI8gVEzgHkZhQ/WfcP8wTm/LYBu1SZDovM8Z7Nuo9kbKqeWvycKkgrr77YVc2SD0DHs5IdtR6PJMxvgi2h8gBmGds/uAcsAjQR0qy54mDn64Yp8Xl+Zozrfd90Y3BBtDrlE2gRam+V/r/9g4S1BvvmPJb9Tg/deie65kHDN8aG7XlOA263rg04gtoc+08DmciksX0nevJUTtl1iEqq753AGMJNVwmFbsBhll6hnJuJXpGz3/33ta/HfGHxhL7004RObAbtVVY99SB+LuFX2MgmXc450Pdm8cTXQ5N7x70XFW8SxZRBPvK8k3OQH/boKpW0Ir9BvSUEhnYGnDGtdTzOuz3XrPbg1lToOtcGfgoNRzgJuKvImpI6WaqfXyvIzQTfffdsX0O36AapiglyaMZgA9BTD513gFD/MmHBWej1DvfDTJmevfpUhZxzqLgXUdU1Z0PnIFadd/fkWWej8AgdZ5SGLEtrJ8r5uUd9fv7yc90ji5DKmag12KpOf7z02hA66V63+m6fwLWfJR6122hboxIU/NGvefvrR1OgAp5CFyBX9Z6mH5ZKO60l5wYsYGi6SYKUZ4AImlQ6hmzB8CQXVUw1rB2zs3YkAEKU6Z7c8xLbbUHPsrvXImktkGGq+xODPG/fod5RLpnq5OGzi/rGV0l8HrOXQMZoPdIXLCx7RB1lwTO7qTiPXAZ5xSII2BKLPn0Jxky6AD8usNV1jMi7DatDOqUSs/WBpNc1ZsffmSKLtKa5zx022Rt7sSeLpSg/2ZV7WJTzx2v6eUq1OXJhuWiJwaKjq58ZOV/PVu9VY7YK7m/at3RGP79YAYm9TcRGlUhffm+33hkTOr5TQkfghH+AYjD2WmH10T3v9ApOkXo/IpHBKXSQkOyft1r2/tg/eaY8rZiuu66kE5JUJLmm7+jURqnHuLiKNZmSKxate98Ske7zBRjXDVKRKX2rQF/Cy5obbAS8Ox/u6zaBGIV2Dn4ANF9vrpuQu4BZwEnPQP0Ea0s9Ata41n5uEpD9XHyZwY67cnJ1xt7v3Ho7sCG14ZlCzzbXs+2xAPO0yLTOzJefb48+gGbcqySg61zlohVHRrdOxiqA2COU41qB+9AoOgL4jhoQIpAUwV5M3p9Pv7LcQhMEeCd3ALf+Bb99KrVoaG6gi2CH8x+NiDQLBs/Bw4LnPTVvyd6YwGcQGmEV7mdKxKqkfbBTYIvNBF6Mqrrrja0WpnQ87D/58tOY/sOCr6sfJTxwTIRLVpQ3pmRW5POaSA4y2+yAz9W07ZiniNtGWUkrmqwlQriNOCWgUwZgtYG7Jt+CWkWApz7RJWPdT0me+9quV2BY8BJaV8v3aPx45xAmZwIegr+86ghSpRczwtovxPAt9yPW9BYE/I3u4zOcb3ijO3Q7fX7InOBq00JnfW8PwNsA2kckPTfHgS9L2dujORJIk/nDVaI37rv1SdRrJo1Nip+MwTzIB5rvYknPYsx79uWjT8OYLMArKhAGzrEV6wKplFSYVO9p6fw9mRYfGEl/3ZYQ7zP9CRz2d/ulXWzgNtd6z6wK5udmT+lp3z+k7Q0AVfpSQEIWxejpv0jMeKPE0NBRVkA+nAl/rJDEX7l5nJDdA0JvkEbUmyit238gQYE3dTbeBVbeLdrxSZQMfAuuekIprrK1nd1nnvq4oKOwBVD5udUXyTJPDMQbmjrIRMbiRF4CXWWE5+LEwlI08Pngb6oz7f3PUAreuQfIPZnVpvUXMXERnE5JgaOXrNXXvWhIppyETXA9QC5Bgp+rncS6fqmT7ey3ED0JkPDw6WWOuY8qEAvi8SXf7jTvf7Be4bkNldYY0bOgFqWhnnODMcBXTokhrpi0A7MuNwBk9zXTq/CYxVtnsxvf7HlWw1XR7JTQ+XD+UBArvLPNQkF8MdYzyRMEjqNlfXm2DcHsAs0ErPrkR1JPv+WzPPBJh4laF8aTRYBv0pDcaG6HKoXjCp8AxzxSKAsaqGP0ljABgPQMqoDXWc3hu77ngtkg4ocgwx3/3ZyPU87FtXMQ8QwP0hxuYKuz04cXfM+fuSDa4IOp7oOLzGZngNyLC124ZGv56cVJeACDjco6TAwiTmvB71rZ3rW4+UJ9vaXDMGR/pudfjMYdZ4idM8owE+qvD3oIKJ7hEtumk0gS2EED2pPHvARxYsAnQb1LVc0ppFnvHZ3h8l62rV/rzo6ru9bJocFl6XyA4/v4H2f/+WXb8gol5KC4uSmXyu95wprbZ5VIYqrsbyiQYLfmk+hZxTR4EOGromsHt4Q1rUaK+viXU43viToLP/bUxyB5gs1nwcs+SDnz7d2eJzOmy1hbQ4+mSV6phhhjxpwpQqCBIM/EWu6V3QTas1IAiFwELRwfn7l+5bejSD75VaS2KYBXQFDbRZ4Vl2oFmKerrVn9LwZ3nd6aehec7vVOU2IhWzipP2od5jVHPwlbCtRUEeG5llajpOs9Eo6vY+G7XJ+uSK6GVAnUjrIjO5at2KtmxS9KfjnWu+CkpnJktmX93nZnLc+2c57sK8784NHQrAtaWbWipVZn7jYjBGmLebUnQT5eiZd/F11maN3Ydf8ZwEtsQVc17WZvAkB182fJSu8P2rqmYRe8rop+989QDZMaxWyX2SYLbgIIUVwlBTHJAoOB1PdK+AUr9pgW8wAR0r6biAjiP/BlAM3DOF/53rInNy6mLjQq2nQNueoffXPKtBnhnj78hG0l+4nyY5rzI8mSynw6axXPu9iXtnBjRbeLyC988pvPTck8QPgmkLnh0GvuPfkVd8wj+AbYcUpsGyZCj2DwN+YpxEi/f/t2NX3rC2z0aGxwRbM6T0b/QJ6cuGFzvu0lPvLBfhP2RD1UVPQTf5mj8OfBfjywDu0T0xMJF0ciLt5TUTAde1HcXF0raneMfnGDdEzB7h/DPx0qkMT8O/nSkI5oyGo8kLcAIM5tdlHs8oElLOh92ejAeIhA1jqzQKNuKrg7zUhHkHHW2m0XyF2dSltf9N8/shBV73zekcDAV7IEbhzoecQkEjGlQ8aZPxa8YiflaGWOpAxYKnxv3oBeA8sAR8Z5MtWgqLh0zPlc5sN8k/vsQPtMyK/JSWfP0AXvO9tKIDuHXjsb8LZU9cgJr28l0TuT3putYm7Us+J1HOLOfKr4XaloRTgkyna9W5C9LbkViCf3vWdu97bfFwBVVamc88foEl/S/VPV04oalzwBfsEcQIBRU3CmUhr2lWrf5VFq/0xq/0pQfmM2SoEH+OZAE/KLecOf/Zec3PX9HNGBxbmNI71nJTScPOTkkQ+bzZS75qlecCRSkGLghjcfKd0SuET7YPlLtjaL6CXgevjtuzlR7lmy3H9cTPDeJJx6k4+jmmgubBpAu7diZXp+dR70CYcmwpsxMsgxqbV+q5pn4FwxSXly6MeYsYH1wB+jmXUItSBftB5ZnUxgDd+s+1mSIja1oa51XPi8+c8APfhdYhfu/6kH9/ZqHzhO0+dJ9BdUCjI7hK4/v9xABlzhcAfZ5b601QxgSE+XRmLh5r3Lu7QQexKG6wabJuJqg+EniHOlAwBn508/NF3G4EMFcsYDjKm55MzRYHLs1fdhPu+jxpyPp/zXvxCfMsqC+evu0IT/4rAa7neXe7rnXu9S8eAczrF8HkfDUO/uf11rV59regvOd+ela4pO89mRt0UEZaJIHhKQ5lN9/Wecad7qoCrBBPnZlWH7bnuRC59zHERfGMr+P98W4HOfBh5D7gYieuJvvpn//JRdWng/Z6C3kZr8GQ7PFSBbwKvP3Aa657K8d95BSoBzmU0rz1FEMf7ead7a3PW6lo/4Nw/JsT/oCIez4svU/J4Tnr3lzO1f+kS218qQ37khvJO3N2dIgkqzNs2vAUepL6bcHm/w0ttbPxM660Br9X5dk+5Y4O9uyTCH/T5aR9tBgw6sw8rUon9ZYBW+tA1HeU4oaZAFfHZo7GWnOnmfi590OltZc177AOWGeYoaPPWX/CTvDQ34hGb3jYbk2fWuw7gyncGsSSjWM9J2emeG2S2ATXjoLLxVe+UYiv6LbvSrOAJkufG0nt4GPl5Zlb2hJiZn4a9C/oYsA3T/4uV8QfYzkHfWyRE/iXw/KARvg+2f6+LDHiu2dMdvJNQz43HTj7iiZnAh3oXfG2O4d3/kv9m499PPWhcW25BMiRyFSnm01mSd47jdpcQY9DuB+ITNVOIVY360fPkj9SYjoCHBWAVRM52FgR85Tz3rGunNFAtaCCUmfKbWBiBf+Dk+XnVdwPN+XZNw+R+WGMKPw814fyuj1pJSIEH9fe0oOvRAFyzJ+toZksaxSUG94KfcReG7Opx+sC+tI+GAbHBuef+hokBfB10Tj2K5DQ494OFyibf7GXx46ZRqyfq/KbcfeNh21gbltuySIs2zYjnl2S/SL+9VGbcySHuc2PpiFa/eo+gir+Fhe80nGzgrRk23LnpN4AH6A9tgcds5zPwJzf3jbvmdsTsn8jC77pl57giCzi0g8LJrPVenUjPDcYepzpeM803KkxwS+zyjgbAjWEZQD9QzQvQCv7QO1ditQ/4DoesazVnmFC/mXKS6RwxwxHK3lxU90SI4rIkQ3ul/mbSGIYs5wr2t61Dx84DoXdC/CaKGZX/WBEp74DXe8wNhxHxwQx49pDNLPpxaRd8gDqBuLMB3FA2V96HCPp/MxaOoAEq4NGV6fnVc5OfuLEQKyiONk6z1QMNjLy6T4zm+Ql+LEIaNetxbeHM416O/Wv2BNiimVgXmxVqpireyd6813aAAMcdZkxv/QVYqeugnWe6Cwzg15yM9F6yuDydwfQAD3MWf1T6ngs8mmvuwtUvCW/WqUc7bABLphcH2+pXrB6v9O4g4rvA2aukB38A/oF27buWeGWjNEv6uYL+tBo7cxqDPaqxXRNrsjBpf/XdCPMB91bQL8Z0BooK/oYZJaAhgaUBPxvA71xdD0gGPbeD/TU7DzcF6Pge9CH/VyP9PKw/d4iVy2mYH7KfHynzHoClPuCng0zvA1lzBbEKcALnEqwhU5NV+Qs8k6lnRVHWbxQNnTVfvyyIDTsOAgRwpG9C816qYDwa7vq+B0BE+WT1OvDHK7xrXQNY1r3eXYE4sHPA6eUqeX+FGI9IrzxsxEkaTu7RVOJE9G6B7J76AdjmbT3aiup6SGHvdS3xABrMh+/x5qID8CHraLlWY+C/2kaPhH09y07awGG+xY5tMZVewlvwObcARY90XogMZqlreA4rw0hd1ppJTDp1b3T9rs1uCDStKKbfmt6esv83D1bU280iB5HBz+XA/Q3KJq9komVd9uBD6RztbKUW4AebKILfi14MTR9PRMUPOaojixKb2K3evW6RsL0AP3VRp1oZXa65npe7lu/7KD+NApf3mr+YFfCQqlKAl7sghvh41zulG7N0aGh2yWCYeeh+s+LLPvmXJ8S3WXBx13vFa+reQGtZlGHnYLgOVXIE/ekkgTrgoHnn2oI8/Fx5b6aiRxkejAdo7A9sfT6S3nebrr/zneceLPmh91bwgd4FD4pyRbtKXa7Ap9lpl10hZv/WAzufukT7G7BjnQ/cCAI4Cbrk3dv+SIvAxtbFLbmzkKgdxI7axzV5Ij3D2mSr7FqrCrxLHWAmGVAfwKxTVNoH04PPQhSxzEQ0uQv9/uickIKJk84F2PGge/ITEv/f7mA/s8pCHBHYp7DaC2iuO1FSAcdZpN4tH6q2idg+2akDg3dagUYv+dLiPnBOncpzX1hZ36657+g77hlbIquHKSj51MN3f5agy968twnErqKlW3GXEGMOaqI7s+ai7r6eGDCHGfiDEPEUloqY/WURLsAnvYqNGcRkvX8e/2Ud9nW/c+3vlyNww5qhLOlVRQecUJ+9fbnFY7BPIg/wd28AKN1k4FFWQETfBb/V4OpdDi1gf9/AmedBu6NdDPJAjICtx8TC24wmVmJRMwH9CmdwaXxxBs52riwmENh9A1jxL/9VTLfSmucSdOep+3owXjpk+2mz7afJQox519t1l9i5+XMHvgD8/tMURXI/de0hMXApRvVAHXuitb+mhZ55MaHXHMEhGA5mkJ9Adv/ve2Vke7MSjmjGAFfDiyuAT7L154mBFzQh6PKd1zf9Deye7ZpdSxEVJQmatTnPuu8RNNbNRRxd6kLvn13+ACc6rueN0tJs7H6BZ3vffeme9gTw61EOpQF6rj9opcYzuybNtdR3jT7EduC4TO8E6ZTee34R580kxy+XFF+AHRIQX2Y08Ex4HotH7MxInORR+6FtGgXev7hcGgK+a7YkgDGIqVvOg4EGDejcHxNsZTia8gOPGcRFtaN+aTdrsvCxPWQW6ATqGsIHvq9kq3fd6VjyX49kDGiSORCVTUpvb77xxyKs75oOesom6KW77tvVeTusZ3522NZzRKQBmG2YHLTygEKXal6Wqymptp9wbkLn4i7E/nKor+d04QcCG8mNTVvZ8SUPW/7vs+B0gAd/g20seQi6vd/sAJP2Vfe10AJirgl6vIjjxlbn3DBRVsiDsDYe6Bob/PVA7SDUc9By0pKE0QVx3yotcckG5WOjufKofdfp/UlePkTYLPXu65rbek5Fqe3tt9o1Ltr9p4FK8wv4mMiBKw2ETwqZ4LF224tOxToHAnEVE1uCj/xYRCkjLYSe6Y1YoXMe7zrzeUUhRiIHHUx8PaspRBZKeTSB1ncF1fg2mPv6/Gkn0deTqsmpaaPrm3cpcBzkTxeIxXbtw/u1px5ZdG0YYH/4WLkvEzKwNR/fc7HmqhnhHXUySWgQ6P7BXPMlVYJeTRx991gX/lJb5lwZApwY3ygLPBmaOPXbG9H727bAB7vknlmxXw7TE7Q5BwzVsd4Dex21un9rh5Ru9ni7+RWhAzGWWg1rWzK85mJ/i3Az1/qudVB/JJzXFGwBFa+ZQWDf5VW/WwnxKbHMKI1YAhpyQJ3HBfEX4IW8GZrrqWPvGpig6YOF+PJPrqhvqGmIVbR4cG3qCw8NFwP8ZU+jWCEjVsTE27S4uMhIIBbINI0Q8IvZe/UQbzdmxb7utdXq2om1hPgpDekhO37nEJPK2jyaItCzbR+J3ZuEz7Tu2/RomFVCP6+lVd4Pxt5hYTvlOzU02/kX67PZ9QYxvZUU8T43Lw7wnrnyzRvwf5f4G1+ybCUWMkTx8+ai92xAi+BqnxfeMw18o1q/1pOKHbCt8USX/EThrGx5S1ZpnMJ2SED/H1aVJlxGtRXfyBAwNqCSD9Iu13YAXiCOVqnnWgF/BqTo2fLm2KVlGHoPWz7MYRPtjXIFhW+Y6RG4emYHSzP8LGhsK+BgoJX7K99BTPTBbrVNFpPLGZpLPVtnZB9VvpkOVmYKGvd15B1OFB9Jn7zrKs/AMwBvUH6KprQmnqB69wHfgHu+YqdREZxyNh34sBzSglFZeAV8Dw48CTTSsmdms+QRw8Apj2lwucsdvhzNH0uMbEFE97n9qyXOIKZknAJrMoIA9HWZKJnmnOncuy/hu5HezUDrlM3uyypXvKZ+HIj1B/xn8vII+Xm0d07Ay9NQ+fouCmL1L4H4JOEs4PfV0b683+EK2ulXzyoSdhBxPe8q6u+kFxSk9pOcNx3mmgMEoAFu14bovgT2S0FfVfB04AO6PjkTI+j1Al9YD5+fbz7qcDmjIrbZbu9UY/+OlXZloyvYgUeNIK0gdhMCvK1rhxS0EejLexrsHRqxXuf1GrW35JBd0VreBfsxdE1NWsgKWa2HC0lkKJ6IxVFu0lX47oEOC2HAo9/3GymLv2v6aZ5Yey8L5Mp+OdLoy6UDSqlq9WyrX+AaO7Fil1ngn35mJASwy1/Ww0pd4KkkKXwjsUC70Gwte3wRz0+Dge4ADP89WOW/PeC6pjkpJpYVzRVDEAItOyQQC05Bf0dmnJ+2mxziaQ88XHNu0M0+8Nt5D3wd1Qr4NgG/Os8K+BRqerw04Q/45DyhAduE723Ru2+O/czD2W0KBBgEzzFKB9PWr1Rm57x9+ZuM8FzzyYIYCP7Sr4nSu46AMwFGJWN5Z0H5FDs0ICIUYXovN1bSMh7Sx7/UeGn3d375D/ugkTt5Q6R1+eAqCEEmNoNEDnpeSOOUduzm241drTg5AvKcdjInvf8Qg7DAJ/TMtZwofMx7EZBdCzYaVHLoXzuOeYF1Hfu7t32uwukJ9n0W/LEwY/ON7OTKz5uB+0Gv99GwLia6J5qPyKjD4EZVcKn8eAscIALtCH7V+sCP02pgJti+XfVwLjrW2MD7h4kfAEff9zbE+HlWCn2DJu0TzvYI4jGOfpyDOfk1F8FB74NjCvRhu82emydoddBvoGVeu0ASM4km4LnuvlHTlbMA4mjyPIXmBXdi11j+CvrlfVe5B30mdA+VJG1PAGebwL/rHM9xpc8j8A+53czAou3yPIOdgr+vYJsBaFN/emb2NCDfucrux038zcT9Bek8e843eu6slaweS/Qtyf/6AurV+8itDOIhNdPwAnEX5TKadK2eR+neOVpmp2tyKyO44x0OKWjLpJ/iNLos4JuhjHpXEKYAp5M8kBnYQg9x/ClUvJSWA/75zi/fXrnmI7BZ7t8spgJS+22JFeN02Bx0X4ru5SuN1s+KwMLqYmLdn+yzS9PpOzekN46swHe2hzWG2Nqem/OGZ0z5da+/M6Ypbd7Y64OtcGn2D53/YkTeIbZQ4Gx/uL+4JyAqgLI3YFd/tPNynH/e4W1nBwvdaCj0DOZviJ9Vs8bwvMsHvHPjpO+/7Ms9Jd7H0XpATN2/tR5oZTzo+TXMB+wBK063N1fkGyW4c28GxyAG8nAEf9dv/4ADuYn6cgA/98Bz7+AjE+AeBT1XMp89myCeGNjmwWag04HpFPGFhs27P+V5eOmQ0spXVpx8+jipxElJb6JVebxrrNxi3+WAP4Tuu1CeDzwiQoVAiAElMeNHxc0PyvXY9GQl/gR6U1R6bolck3u+A75smG9duYIGWXnA3NJWXm6CPxpTmRsBR9z9BRb4IUFP6doE8PGFdmKhw1Q2EN90/kDSTXZcszXXXIjiUc/1yUPfJr7hyDBo6TB3EAvfszFj8AmcAP4AJz5U617XbNmJsVxOoXQPz9s1p8u+Gn+AS2e6j7BiO1DbITxTJ/cQd7JkVRM1Mdio9wu8EDi8t9f37iRgoN2k5k7vnVxYjpJAjP/AawsxfFa83/S12i/Y2jj4vElKa3kQa3MGDcyS0C0Br/rjiibZsVLn54B76PsGiuF8ke39HY3l0ezo9cTNAPCgOo3JO4f4EH18rQZVSG5yEkkB2OYCTzSyXvfqy4H6bYj1ni5FnbyQD6K8R2l6gwQeWQIOlqodUADaplN6N9LIfcaYUlYCXPCVp1XZ2+ZvxFdrrgIPkPTOKPNIGHvEjFVpuQfQjn+UoywPp50YLy4egu5oiwJi5r202b4eJyvVe3FJ0OfPjZ6lYjAeP3GXLJgGPSKNffqXd4C4brx6KbxT1F9JFLjAj0Ff+M9Mz7rRMx3DchVDcAAfWMvOt8sCl2WRrWj09kdrcwQM+YWfj0sLVGYBfukbej+qD2dsHFe8P6zi/Q4J6TdMrm2KI2Ed194GfbtPA9SCHqtOw2Vt4OdT/0fv/MyOpgJeFbRl/mk3r3p1V9cD9KBLNG/kcvt5hZ9lM3a5pr67ZF3/qNR7tynEz9DN+C7RszUfhG8g9nqvuxPQ/yPKQQNBHK1HwD7D3dZmfKloC5xDdIJe1pqC9g+TB1vjMeu8hDL/Knz8oWvrUv/ySBh+9R6+721wxzzgASZ8F7tUdK06L8bG5Sl6s6p94+UvUnmZLKgrbHnBz82g+wBzXWlszD2lwXgqJn2fv8O9y8AOW8YwI8ARD0/gWVb8vp/HB1P+Qew61wM7IKN9spGuSHldvot9ArYMfN/LDBQBOf0Gu9G7jXpZvHa0vWYIHe0pAe1zlSMrxSggjnkfdFTuSc9RpJ8OJ970jpWZQgONlIl2Xt7Ycp8RiC3AY3O9P4+h+ykQcOa4gjgcQnzBNELbatcOud9ukb6T6DfDcWUfmGGKVfzBrMtT7zZPAvkLVKkDDvau1d/m69dSryoCfECNtQELaa/gT2bqqwrRTQQ60D2aQZSydkyLOBFc/KFC5hlgPLJZUu163fsUkagVoCHvR2vaSku0gv+A9o7Npv/5tweBFQr4xGQ1ACrATVAzPJZyREqsX9da1wpHes/OfG/+wzsH3u2Q7FhajyKD96bQ8/OZ/YeHMRqDoia9U9LbE3EG2tqEmILedeYDjmKnYdNT75EH5sUaH0VVFFSCg87p4L+BgpDDDL7ioXJVFrDbBGz82eiZyYMbnSBG1KaMKQkuJyqCUxiArscfcriYdRhPh3/3Njeb2NNa6j7DqI0yW/41AQo4R5dTwZSe1wCq5az76l+1jIN4pBx4PotHYoA/8XIlbGInlpiowAF8T7MGjtnw6VIqETC/efDi3/fqa9+tEhbzzBL70hSGoJt7QlCSjC0hg7mewuVQ2fHuNJQOxFzQewLjEOt8wg1imJdG4gYx7C+FGAYc1fmvNsFtZSBdqntqgn8a9iz9eM1D4RLVGGhtII7MH9xPgLlj1ZiyT8Euq50nSj3rXjcm7ISeNeEfTDZmQ/OoDEybQaKsmFbgzNtTDzi8BQ4eim0CPJdY7P1Zep8JydgUyMG4pxTtMkNCLPDEicR6Zkyf+PFHGk2tIPR/cXajaKD3LSghdN1xgbenkc3JDi/Ewh5n3lYY1IFnFswXojba4t0XAHbyqIJ4K/vZBG3gZ6TN9CyIw8qW8vl5p9aSAUbZVfRzhff1DVp7ZYbe59hW9VbrgcYAfbMH+1l44U1pAOyayQUDf6jp4iH2b54DyvqlLDt2TArvkPh7ve88A218Rf4GbGn6AD1pIwP4U/fjiO3nnXDQDeD7gsdJZc13iLHAS7CegRigwcVpQZ+kpyvW/h7pWVbxGw/1noIHGWKwZeGyEL7Xi2vqe57ZoWFg1P/1SoB/4j1wpY708R9hl/UE2F4CLyaBtJgZdBnfHBslE0p959TFqRz2xtEwH+C/bw5wq2xhiiF2Mgt4muVeNEfGRr/o++hq+HFRCL4eiW1dfBlUY3+vdrWP4twQqDYbOwMWlKz9tRnVQQR4L3e9e+rnNAcOXY3TH90lb36o7+Pvx1XP3kMJ6A9dm6ovWWe5A05t/DxSkI4svJnEMlFiNi7wxF+0ixEGexUQL8tRZXnUOCiQuXjOClGsdyJF+fnTgTOGGN2+++ivvAj80wg4QBHJfdYnJFDAFRfUYV2fnQPvKRqi+6zwU88XwaY4HC36BHtOsyFY2Rh/Hyy9S/rrIS3zmu580MEbJzEl0jMETn781noh6CxBtpuRw7k30bQ0YEvEiJ0T+YHnwLemf5hkhyn4JwWuWHEF2Fl4eg94B1xlZPrej4hDwxQV0ddVFBNtdtiBcwCcKc2U+O/813owxaMe2mMexpaeFQrop7WcDzr3kVDQSyTeS9CaZEfXmqM/0J8637KI1bdBaxnw4RazxTOlwRmwEvSYnDGJ21MvdV1feMrnd38lcMr2gYe50D1xuraajuxcGu4e+AxCwQQ2Yyai/1mEjSC+7e1mly2CmldJXztDP177U8bkDlihMtB1YmB/NIJniOK+7JnBAu+dT2G8BztT6I+Z8oF2SqVhsM9B6+YEK8zbFXAOaf3FgStjO34KfnEJd8uTv9H7IC6v/mWCsmZoHL5Tg+z6O/BoSs4bR3SYpzx72+FfaaIzZUGcsWbNRtU1xrTIkCWncfo4Gm1EGPjy2uh6Tg62uuZr4sJ/L49GcKaDi/Do6TsLLnd7M7fMI3DRrlo1Dm6eyAr2tAjeM0zinOt1bAI4seEkHPhB2FvYD26kmCpJYuB6gah3uITv/Yt7FZKdWEo6mdjIjJLJrOIJ8ACwo+2nk4IUPQIWVl0bAg/y0vzziqnzrqu0aFde0RqkrBfATcq1ZvSBrUnXDdxwf3uIolyS3tG1sM8jcH7dHyZ0naiaimpsXWZPwel8M5vQvUuzfWRGuza+ulO9s4LHPWBI8M82jNsqgfcR1eb/3TVKURb9igB/mrX9w8PlSSz5BGz5Bq33zItkEeOXfdpp6G+TTKkEdOivMAKb0x8bYsqUD3jHQ6bv+lEa4nf/ciaZZwI+rpz1rs6NUUP3CIor4/OYgV6Cz15A7yimJkW7Vw3dNw7nmQK/bsz2kOjZMjZeasKs04h+ifV4VAW9A//bAj8HP1XvXICfr4HB9a4uq91mPZoAe4y8h3gbmh/lsCESnpVGgcUGZdW7lkrOZmljJMf2SoYAuNTehe+la9EAvza4JJ7+/wQ0+uWVw1/b/9UR3YCbBRnlUiDTd3PyZYrXTjnzDzHqNn2MSoI+gJsTBL4iw0/QUAvw5jgD7jaIEGcScK+0LzYibAs+dgOeYNJwb9ZWvOg5EJWN3/kvVhk30Jtz1NjMT/3G5gyMyW9BP+E4szDo/xhwKzg0vrzqWU1k2LRw3hDbgB36MihZcJB6V1zQu7yTAzNFxQrc86B81KHmuf/6fD1sBHC2OoeSGA3vDRJ4GXBbxAuIt5YYGutH+9ea70QLtmAdrfhZqxZxHg/w3PeSb5a61/PLfxzAuIj2bcIGsMnox8CWWbDw305JiFGAbco7SmPCyVhCnPfdxBcPTkUM6uBMwt4ErP/mfLnJAY914bmgL5T+7oDJVWKYMzVZXNpgg6/8MuiWgGXliO8nX8aIZO8aswE4wgeOknd9zKsnHD7flIwlwL844GNOQYem4d4QgQgSo7wnRhsfbN8AXp+fIq9N7OwJP18A/uBaxb9i3T+avv1NOXVR8G/W4mt/PGPyDmfPJZvOgMN7sSpMCz3zxoWoJjBXMfA/8TiC3odz/WD88UTDEgG0HXMrprl5cY96PsFrJivEQLN85Nanme/gufz5fedQwmd4wK8vzLjpmasx1jverWmsw2DLelmiaDqAZlsSf+M01C30DGTsqx77mwf8u49TJxzget+Jsay6BzHr411meoGMvC0j7Zzy+J0nMmpTXakJPhjO06l/XHNrsghrnCSanoxvtmUXxChgPH1phw2Df+dA/Hpy7gAG/Kzl0H4kZnbNDPad946ZG3FeFbpOVH2A13W6PuvfeXXZVQxokav/zDvPpgFoJI6Bv0/z0WJ3MU4jBX2M2Jeeyws2HD8gfjsItOHBhpBlBN9NmFzzgu1R4e10XwgJ8R3nc4JMz9X3Ce/7Dfiud/gOJInwxAzlw3mlUiVPSbHQ3L+2lkkW2UMW7aUCHgO8X8+OTqSB+2aYg5RjwA7vUQ5on4/Khve8rzqpc8MfiAet3vfwzi8DpuUoiCN4r+bR1Hui98Br2nvGxQXrfRsv3b/Ru/5Aj+2vjYoLzn09E/rAFQqAs0WA1QvpvkCjqjm321b2uBNm8CztQPCxfe8Bt6Td23mYrJT93LPzzanN4IysNoX4dAc9RgFz3MpfjAT8mUC8rnfoG2K+JQFH9bygakhWWWDeFK2eS1KVw9KhSKyHJ8QjkjzLwX33SgenMbYgxu6BC2WleblSiN0onzu9GwNb7q3RnI+rC2jN/mCIc8MwTvLPe9UjFziewX3zu9K5Rro8SuA+oGPHg30x82D/AAX2IYb9O1Y+4fdG1u/tZLs5EH+qcjp9VMALyahyPTeWQLzNB+dR5jMD/hccVqn0rg3gTBMizfVo42ul5MfBQC4+zz5lImWrTMsibqsxnvU+1Pe9DerdSfpCz1kYEsNfEj6dSfG1EFuB3kVC2u2dktiqIzHlrzqvOS67Rtfi3vFub+mpKaCPwTZ7M2eeD++WZ+vPtVbA/Sm71QS952OvssNbymJP30mmO/ad6D5Vc+8KH2WYygWN8kaBu7/msDOVgH07EE0WCDlJZt1Ao+I+CR2DMFQeLGEB39O9qIHeYVhBDEiAy73vAXCQ3BsrPp4oS4C7gx9i8JepELR1iN8iPYOmoi5veNtzHjyowgWzGhvs58pWqucpWZXp34U/HUmQWSVNlnxE64mJpTFFATy5f9+lnECLlWO7a/wgyaj4AFx2a1s5JJrWo+lNJbyz3FD3rPi5IpuuTf7pCq5nSc0xA59rxsCEd90Cd7dTBpyezx+lhU3QeIw+53szfL7vNw76zGvLsEAv6Xo7QxQsPa74Oxs2ebpDvxiiuwjnBHSDndL5r+r2lq4tS3c/ThqoXwb6l3FEQcd/6F5IOdAr7QLOFD4K3a21279rRRzQQ3ZaTKo+b3S+Q51ARwjrYpNdvIpQudT/MREFns8voHGzJ8TnqAIcwYWX0OcGbOXhCODBVSey2hQL8EOzIm2R2Y1DevxbP+d3nkiBZRUE9HbysmOwoyguGAN2DLS6ZkjfifvSDICna16yYNCXFeJiEoH8QBB60retFOW9WpP7wfIt4AasOm9ITXWeSr35vJcEUjVrMDYmC+rXDlXQJnp2OLBNztV3swsieJ+8jhg/KaQxC/gRhneqBmrNB6QYBm40VsClEjtwKn++Yabzm3uHji3F/b99iHvCQLcMskVhf8fKtzLL/a4j7wnPdc8G9gQuuZKRZdXKYmrFEdgxxEZF4Wl4bSydiOLLqxa1wHOyYxnbxTd0nnvCTRf1yxnv0DtPpOeKt8z0LQ7vKqPmt95Rx+Fc+YAyiM82MiZCjMltVgF8JU7TXdsmoL8q3dcGWv60+7nmveHqnQ05l/fM9hIxuHkDvIYam/m4IuNf/OKxECvobmtugXs4FdgDAT8mvmnmShWyl3p+HQY8Rwxi38Fof0+77H60dT/zRvf9/qbhBJxysz1xZTCzN+tOZTLEYGu4RWP/ru35xjYDfWKYxGAD38mhVMEAdsx5VIKGaL3ccNtkjEUdoDzvfvRO0zZ5fprgQSEnbIL37ZREDfA9j5VS9FSUVq083bdD0h1WoMXeNWbwXCqUYXyrtvOAVj2PL6ak3+i9BiUGayT88l9vSyF/q3Appd4bATws73wL24E6BfHtRDdzY06crfsrieItOc9GZaMZuMjuRN87rGeOClTiCDPJTQFx/cw79ss5eGXh3fmIOaVBTH1VJD1oh6jVE9sMQZCBVuFmAzCNXq4kAqvnnxYPp+xoA+ezy/vBzB6AAfAtg/ceOiNRX8+0aFzgG3ccoiDxdb/glJ86dtR77kG7u6RQlegCHxnLLQ3jK9gMxf6cCHYBfMLOqXe/QXPZoN15rgLynw+0ieDsedoF77y53nX1oeswSQcnr7BztMSjivYuDmPKQ8myIgB/jy0BWFcDdlXDZjp1YDv2tKJI5hCnE3iXAFJY1+H85aZHkWoPYK9gz3GYr+96gNu1DsUforIQw8Yo+c0ox3hJRjY31gYYPXr1o+h8RcrUkw0+6G3vt+qAJ/sxY7rXyY/PFd0YVO9hI94fMmbQaO13PTgr6kqIxd6bz+scxYoHaUje6jNNhR0LiJf3poh3jRHkuBdxZQdEKuFlZuDldG/UAGxZET8y0O/NIIqjTe/UcLMEOFrTT0FugZSypxFUyoPa/3r2EfjlmoSPOyicJ9hCK0L4PmAXja0+OMRUNKJdxd0H8V27DmPGlbq9ZgBR06sC3240/+kkI4Z41n0G5663fMotcJ572WOE6PL+rAjOb6gHEfFI1520Aw0VTnYqBawBDvRwdS9j7u/h3f3ouoR90iODKmmQEWJ3OPWg1yMSXgDb0R/ExTbPZ8oGdDsRtMW+uWfW8t5dda8Cdj1axr0OYicHDUuewGF6VZ0KXGTA+YQ9/QFXvydr/HHSe06C9gE8aDqaqKAQt0BfTUe7XJEpI0nYIMbkWUVTLwm+k7B5AN9859r2dPT0HqQQuAL40/RbR3QF7RQcjc0xM1EK2PWqG6p28YOPKJO7FoJL0GI/6AmJ77kluyREJefoCRw8SLi6N1w+KeAk/B0TRf/uey1EXeAOuq4S29Wr5jbeHY2lSqi6M/bjNgPESgJ/dsB/JVO04ZmTFvgGWjKD58lPY3vORmBB29kE7HQR34zYX141GqXuWR3Yv/oN3qFLyehCBiBGEJMrH3h9yLAw0Q1i8y/ayXvK2ich4IP95u/UBTMqsqfeFMv9WHMPlw+q132qaHszdR6Y7nxTjsER8LLS+fb/fZYrOXAgCrScaM6cufD+OfFLW9DEPKkv8zT+2AdrcwFuMOExcXhoioOx2QIvYBAT74jFE/ClSZqAoIYaJU1A22YugrMShm9ge//WlRClvxwOXIGe5wcd2rnhvgO8xUB2q2dNAQfdX09hqxIeMzJkmqs+QRcuzJCR3vPYjPgMZ+cB45xAI34khqNrYlTeYacKvG9kXt6fhZuOmbUp72z8eRBL2EkHb9BCNtp528pmQxqpP7rV2m7Sc9dmEgUmtfA3I1jry2/QCE5GvF1ZeK/eTeB53zK/3ashex5tKXJjer9Dp+r9tYo8lCtvC/xRQXwHKwRtGP5YyXP2MVVxGuAzZehJQCtWw+1OI9WTzn/WSm6TfhOmEf7NbdWXSo4NaZc0YsDxPUuOCIFOe/Pe4bj24EOlqfuSGQVbXbOVGQ/r1JeA+7ML2BMB5wnzYf7D4cXK+ATYyranvuVC10z7cm4AX197NMPJZOM0CbbXOZgFLHBfK/HOEwVHyzxKvuEHOw4zY5k1j604S5Hf5sCVQlzEc6JYnOu7353eBSN9qtieEDxgYL+vnXd2pnem3vWcYvCxQ7KWOkc1niJ5lrvkjb3HzEZtxh1H+IGus9X16X861wta84GHEvCtBT9oLyc9r5dOVrrd6L5s69TF4vS6k1BTpXOO4SY+GvheG2jRe0yk5gWjtCXwhXcdLOhGG2Jhy3zEdI68ZHqS34YAXsxyUL7WAvWqUuHHdrZ+LRLez391rjo3yq6SJybbUQM+SwGPcHCggI9NAfUF6HDllab6t8sPFMcNnvVarokpArwKqkKIHdvS2rQQe/5O/gRMcK/nYZAD8MLM1DU4Mj2sbUx4+dC7PJnRL3kE59sFZxFhou9/mRJF6iOP7IK3bfwmTIWAUyUbHOe0Qx+1396yFS8VU3vwk9uJocNrY6j/sDBwtGzQO+6zBfsXG0dIaygG3I3o+zNhPO5y96N7yCDeT25pspxT8c5JTXVX3iGmgy+yDBgb/LrUe4jvelcz6T/N2g6iylA9U8FfZcpO5Fq/Nw8JvCX1p0zwaQ+61zqYgeYYKR0nzIJsze220v1IhP3bb65nbgMm4j4fmYt87FJTZAg0MlKxSgo951qe9d7iTNeeAkazsL+mTO+FzBxBegexyUypsYqR2jySPCVtKrkAHAYM1XPqhtub22TY9I3cd+PanmjZL13G54sc92tZsBni3h/vp1syxMD1RQ7PpU6R9wHc6YPQ+S54G9fbTQox36TGFNTqdU93A+0xU2PBECdfceN/n7XLjPJaE0kyK2jRSh1i9tfEbCxdLyZ32VWq4JGHexfeH4ED38I72FYKoZz6T2QxK+fGArod2B6OsvPm+xSIqApiXyh8T3ycSKv5NwemGuMJheg7D93DiScO3VGbqBbCIQP+J21M4zGnnw+I19/C0PUuUtfjrMS+gE6kYL/9Xc/QOayx3kOOSE8fzRB81Lpn1BTbgxG8czdH4O02PM90sC9POM+YEI15n1fAHpFQ+Zd3QiW+A+chJ8BdkoDuAts7V76ZVcAt4Lxur7qhMMCYy7KibCsMZCaq3cF7esKzvO/ZnJo3D653/VmLc3zqfW3oCv73wf2f+6lvIIa0z4YHC9hMz2yp826Y2d53ZbTVaVSLKGL3xC96v1uVga8JQ3qvOpcd1nWmJvjre08xQaOAcwD72zVu0s+TnlOV0MnWc/hr2xuADxzITl6SVTro9Z6pvlOzXvxP17z4MgNOfNe7l+ph/9RzA/JQ7BJf7jPgbw113/eibj62v5WJgZ8ohysPEAdfwfYYZcF88kFzD64itrwA7/FBK16l9aoh0HsXv09jc6UFwDpf/pqR3ZllwjuYZ9Af+t4wyVade/u3hw7wGHCCsULsPJGcb1e2yraxXL03CtHQpVrX1ZYagZfrXtlS+NM3HVVLggDioViwtSy6vo0rwXmwt49WBnpi+U6ClolBPg+guf73WTllIpQRo+lO10W0Hwfr8ZTFf71jeS8WFOpZMHoGBwsgrsRlB1J89PQsboz1bNPe5fDrodYzVbgZNwUagY9PZVc+mDFXgv3bKTnonpXGliE18U4wVYGNP/mQGHXYZlVQgi7+dATwg/I5m3XgASeIq0TFt6MNPLVQLg7aJAnboLKUkRm4QiMTSSfV0f5xkLHx613vvHthKJODUF6cAxZSXi5kBP9h9MF6NoG+JadBkISiR8UuEAG/1qOFKxJ5vcbGkuPvxEKiUkzjHnBmXd+t4L/gZ1bII109AxP85hvbjJZmPcb6vq+qgKPp/KLgCJcqBk0S8FMxJaBjX7kZYhkPiI8D+IadWBA1OO7hoOD8sA0cA/wlLoHPrfUqgPsuq6Sm7o99Y+/AO4i7/RLqrnsRJlfgUGATiFfUbAFrd8KKfeDwcdkzq1HiVo4/EOlYXFqgGYd4YX22EL1XjgUUnzeO1PVvO+Qfn5u/RO+X8d8cey7kjro636xz9KBprsDBdIyxIL442MdD3imnCdU1jSZeK9xVo+5VYA4xnIVaezPvWjCWza8M5IONsjvAqTV9+QDK7x/X0sqAL/6rgVEKcKl5JuRHzwM8lj0qTgEr6U7mwI/OjZ6bCd+53gkBX3VOaXsDXZ2LAmJQ5FUn4oE2EWMVIr3P/ZLQWd+HwfuRC9jrTPLNe06ggdcgqYvgTGhiMA5IVrAQmOj5v94W51n2LsQV8YftWOd8zdxvf7Px6yo4dWU/gw6f/6uZfm7Sclg4KzDwSBEwvqnooIDDte+4zIGKHUsm/AZOmTFmY9B0VdhciX4/fN4Bs7+BPesc1JPqHsoVG0kUXErdI2nHfxk17nDelxNo8ZKosn5uKjhbwINloeA/xH+8722ixo8JxPKe+oueZ9kC3wMV0BpNgRXRPcJgNQ03CcRFF/7uLG3PoHxx8wA4SaD1Z+NKE+JV15t171aV3jOy9ibY6prkN9DP7/k2M+LnTZr0ny6y9F4AOYMf/sE7/kUdaKwRh9hgghRfmlefc/gR8JZj1nljRrAHXE6JXgW80LOCGzfl7soGhfM+0Dms+1HXenb/9prpWkYXFZM62NNv4y9lmW+So325y35qAaMp+H6Ig2CpfQX8x5uORgM8e9Y98Fc8ADexwDds8MNws6+L0kzCCWWAc6UFsWDndcdVvrH3AO/5Iw8/76C3/wAzOkKxdbSp/brvB0XII98+7ZhT93BmYeLg5ybLyA9Ef9MEm4opd4ujyQzg4Q99Jw6cKwbc1jlinAxmAef65qK/Zd8Wpc0ybOCeAI/FRFyZWS4pC6rXd44kqiz/DvwayfDzCXH4m3f+A2zRZsYn4PNkNPmcZAUKpc2+8e5L7+OwyNA6aT5Pedf/q5Em/ZzlfENRuNyAG81STWFGZ5/tBAfeOSaj6JpQLkz5NlYqqRT8bOXpXuhV9K1zsJRTmcH/Hwc+6n5JaxsXun+kAj76r49jWDQnLsUuBlk6zYAxRsJLW29Mq5+f19wwf4n99SDmRc+ZyvJosoUBRGptHrkZlMAdM/iMHOmZG3ZjUh/PLGh17+prVwEz2bt+41vSTzct2kdj+c9qCPry+fkQrLTwrgW9hkPAuq5aW13bVKag9xqbWdmKgKUJD+JzCb7NEPDgzAhAk7M/PS8K4iWcL3B5X0Icd/4Pe4kCW1KPpPu6JhEKM0uGbMge2Qr8aqBPZCqm9ZaeDS52SpVmcKa9ri0pr2AzRVmopeFyylYFPqr+H1fv1t2ornQN/yUOJqN92QQExkYOQgfQHSCPEBCY2MTG/Pqv5F7Oft7vYo29dq9ObEQd5lRVzbL419Wr1nADHOxG37fAJX57zPYZ5GtJdV72MzyPPOciiUoxCzEsK/DirIbYnVuQ+5zUrTtsGb1b4JmbA+StPZwxi6ybgJ8RAvBf4R/Tr63GrO2Br66ldb7Xgf/iKY/TiDDWk7n7GRq2zLnb36t+6lKIbHU4kdTlgO3Ti+mDzddypcN2kzLvYvq75eAdcrst1ICc3JIHiHE55GEvd8NHymwkbQm+8Dt76xwD9AY47l3CWyjtFh1RwgFDF/uVBxU8Ww5Z4Vhw8LHPWy3SZ12dxfJN2eGiHDymHPnE1Jjg3dTu30ejpyvg3bN0E8p7j2Pxmsu+3gH7cTpichr096lfwD8+b01sNBUIaSzw4wiPdGy7Knr2dwwQKxCLppyv8H7DjSN16TzzgIMeIgKniHgMPPPGhb2hEb6kXL2e62cPmRrrtm0CwAJWG54C5VZr4tYhIploN2TVs9ndQh2I6f/iSgb5Sp4G7xtsw23A7mpXQ77jUz140wFyHHCcKevYo7LUqKzfPapx3i8/1GYrj5OD4sjMVqeqRztiavZr6mXCCytrC7hDF8zUWlbtpHYCMdjMIICPW5Muta85R0dF/Thf0b5yIM/2S8G12efRvjSdjP5Je0RmNoFfTqh9I6Of1pEtAE8bXP9Oi/aHm/py1wPO1ELQ8lEKwICcfO9d7qVgAnXBvxqRbDLr6kF8zFQR2k2QAFYmfiXQCwN4eOBBLdovPOiWOIkG7GXuwHes5+ywflos/2OncE7AwTdqUA4HHm+4OgkwPL90lT5bRq+9tP5sam56CP5sxGA0bwH/WQm8B/U6ww1kKEinbVCNu0c1TgjOo6rA53P66o303qpOvpXFdMtWZElGWlL4heztu+q9Z/89fp+PwFMm5iwQG7CbWlN/ComFHdKKyPNed+ZZb/AhyZpOf1Xx2Ta6NJV9tk4c8HokGbxbC/Lnu2CLmdHxcw2+00995nJJXMAPLg9SrTbEbs1EIYB60/ut9lLj/Mj+zYm87tnqsf1h/d2tROKTfvrCQppeD4h7BHhDf2kQgazHaRogh3StphqnOJwwB44PNrc5RVNYr6YnBvLFCP4HsSOzcLS3iFSiv8M7ffvlKY95lxb+UuvMNrGVixA4KC8x59eMYpFbCAN+crBltGEypxmTGXK1R9mnl3KsaTh/50NmZUXqnELZcrY1veR5HWujZ294y69OO9UTcCF41rH9EkVSklE+KFNfRwYYpdMfNLJt/DXbe8v7yIG3NYNM8wfgyNV/+892bqf82Wv9aAaSNgGy6/f5WrtTkkbJJs23rzuHtrJLl/DEUytacJz4mWP6FfEPHc4L4KoHpL+76JeQr/6jZMBZQk1FyJEM8YFFn8Bwpm+wDaFi8Lv37U3Fu5sM8NwIuRLk58qyXnw5E7x9kzxczS6oNCJjilC+t2Uq7dboEq8VTyJso3Ma9+sp1pBzr3YTelkT+B91l3yQkZj7thu2IM6wNs0H/MCu0chRFoE4TSz0q+tIOzNnnnCwvx3k5TyPSE4f269qUJOZDTqC4ZCoXPbOxqHOlIAXoxOCnFaUFtFY5iOHXN8ecuBsOJqZ7EsPrxzwA9rkAs3wfl935gJiEOHOlNFwORDhjVzr/+YM5U5G23fgmj91DLhqbeNc8Koc7u6x6N2UytHUUdT7/J3avVvxyT2yxdSVzv80ndoP0meb6n87uToVkaBimxsB+8lY7wBHgxjJf7I1AV4x2VWoga9u7qcYySZoP/Lh6h7FHw9wSfmcdeuAQ+u/wM/YCjwCQyaw6yHJZc888L1DWiD+yim1Tl0RkSXVEytFIkuK+6zfvjfrzqWmtmjptsrnzux1TsMtbcRmqe3Sa0JEs4En5j6jofLI3dAT738cVUwr4PtKBUl/cACb9rvXjOrPEcmJjf597/AypfrZM6HE8pxnru1pro1+q4Z86KIv+J4dd7Y94DmpYqmrUR9PbP4WXO6ygvvS+ePlDLhijPAx4LjW/MIH/uJ6rNHITl398czxvXfnjtfWMcl4RMTBNfd9fs+NZotIdnRtlzoC/DISwP+ZdTBa8YXvUmtLZUTe9o46mrqBBF6rYtM35kH8XF740MVRCRkt9ZS1RaxDwElmnncEsOlUMYtYDVXJMW43VU/iPMKAqT8hD/D1BDzO7JcidLfkDnJqc/fseBC8Jh9i+zvEqYBY7JLTX637Y02xZFHynZu9k6bCuAKWWXvryM0uNN/8fzsrfLNPaK0CUla97kjMr0YjsgGfyjt+Fr3yK6fNpI2Pwswyd88dRLvsax6aVb00/B3m2BvAnTuIqyUe7kbXSQNCdOVYbuTzToHc0g4c6LlrYFsRBLiwXw7K1WbnqE3AlwBj7sjqfxye31VuuIU3yp3mNITcFP2eIafRMjaU3bJ+RpAL9cHeOQxp9xR6CPhNxBhBufvsB0Di/foADvdQX3Np+h4AQpnZG/ycWUD+N3YsT1H0Rfp2piu6AneYJXrpVc4DxM1DJmxHxXzkFjrWhb5nDIVHwXeGS9WdMtobq4n3GZUGS4GBQ8wbwBJpsgOuZGrX5xNKSA4sHXJAV+vzAtw4550ySnGv2Psj4tISg7dm/bIAd39kLjKakXY6ItaYWcB8u08jnSlr+YYz5WkEf66lPEbcYZb+MnHfzBpSK71IjooSnAbsysziCq4TbmZrX7mS9WSs0G45BqkHuNnfu7jIhs87PNqdmro3YL7q/Qqx1MPHKDmScLHJv/pKxzo8YaMHN5KpCv94YKsfpSNNzwVgjomXYBlmV9YrzpcOT+vi7wrnanrUIce2Zh7si0UYMKKC+NVceK8w8KEC679P3CvGBIvOYOyNR6xtIt12wNbsH6xti/v7haPQAbw6Q6y6/r9aOu3PqWM2G5ID5Ls765OhCnZ3+N3f+VMbSkNkx180tCEmTu+UlZCn/tya1eyi3V1whObUyey6a0MGXs7z6y2F72t2Kjd0Z7P/9VW66eOPJUejx0+AiSRO1anppLGfDSpQ3V+POstzxriymGd+1ujaAdZ5O43TQ9FsMbqmB4tA9NKhgrhm9qAwp7VKwcwOvPVIX/Pm8zkdAX+xs9GhOhj95Gz4s6H2ZHZ+vmejNHPwUxqFds08oxX44LZ0yi678KhtBXBmiXRheCsH3KqEuYdbjmnchnloDyzEHUHTr5YOWxubR9LOx89HQ0NL9e336R34s+nA63ZeJfpH5SCXI/RzijYPGm3PIiiBg6Fb7Wwn1ZvJ8O1OdRA/LXs2eZBy7tLBM/vCjcbj6x7gbGYmT0x9iyGZRYTT2kbk6S+RVzZmlzM1+qzbEfBnzqONvXckxvn2gwIGoBbYwegb3UXDj+2qSy84hpxatC0NE16OqFMufuFep7bxWzVY8K56iN18Vw+2psWnwwJgzS75Ae7yw6l0mMBvEJtkY80XiGkBD8/3f/1sZ4uNSQvnlglEvJqZGYTG3BMYTcnk/+y7eZOB1IAP73k0bXDRrGRNbipqx4wavdYpqDs/BtQeVaE65muSlp1yDu7nyoCn4XhnH4sG8ED6AI4GnJ/Ye5sLwCUXTIlsAB01VvLaTeDtV/ylAvyjRjPvALGatg8RGA6BgMN6wMtDCxfqm4R8z0NVAl8IamfZK3t6k9Fz788I+H+nAuCmLrFSR+2ImI1mUAvc6duUjF+4l9vho6ZJTLkujoX8xmMDXNda0l5CfkKBWnmEGZm5q+GDkdGhI9QB7q7N7pTzre4RAU7XU/BHTLVn5vUEcPPUud8Fw77p+fzvs9KUqRLwlYOFlzbAByWzZR6hHPgXxFfvwQZm1QEpqsHbSAt/Qd7+qqNpoo5uc8AiDGw9Y88ZVpR3nx5GEE/D5JtreUgteAa2efVvfNS8sUWYpLiTdxHO+TFGgM3hVM39F+KitOWFFgipuL+or+vFfE/a8Zmg9udghZYMef68B6M+PFNSpGwpKOAHYvTQhnaphl+t4A8eonM98u4UqluqNfjk+Q64HgN3COoe/EMAN7Dkwt63kvaZBT8L+FkvZeFfK7Mzow83eXS2jdpCg1rgC75fhTun7JHpad5gO/mdlTb1KxU2T604eG6Ig5lXDZilYjY7kyKzC8z0ekPeO4Ntp8DvKQ7bde9KgR/bQ2p09xGXDUpEagP+tXmi3DbIY9+C2A28Db9mRqTRy4CfvUiz8VT7j7wnR2LOX/Cj0jIVPHXy4X6hXBnd4j1g4+CpU9bPybEAxud41zpCH6nQ4zHchgTsOn3iEeXj/vMCOOmlIdljZwFfTSzwn0hALK+Q77FQPXHkwfm3p710m7tA0q1GiIdwqvlz5wNyAYt+U4dXEL+KjEtzcWW2U6/iaxvKKLmXzkxLR716ODfpiPnBTvYvjEUg5GeuX2Gh38qvuar77TcNIQevfkZi7cuuvVQh8WWMH5KanUCqOL5vjyejOzJiu3razzahw/1WdoBRx9+edtMce07f5xky9a7slayRpMAH1tLssXD9e+Pi+DQ2tybQpdl9xcWSA3Z5g++3VkJ3tF/OnEuv0WQBxlWegC+Dn1Z599eo3DyayPvVxZJ28s5Y8pYjfwds90riKc1tyE1RK7jQIe4XP6d/Fx6r78yZW8DjRVO0IuWtOKypzXoJCBhdMsOLoqVrnOXSOGdbRjujy/RRRfb/+LJbrnUEwQipG/BuC+JhSoEAVtzYN/cqx554zH3g9xsZkJ8KTjNd+80R6AcHjt+MvcdHVBKIVabHhA32I+X6liLy3D/OLPv1vgaJIOJGC83GnVePSUH6fmmC3VIO7UrFv10fYDdxZuaZkdY5cImD1X6BTeyYtQUMhr5rVx/Trr/JMPmph8VwLCB1SNRcpmZX6os7cDcZ8LD9Jq78roY2qgfdqqg3Gjhu7pJjaftnyP9OrUMT6648vK7PXsYI4rS1XRXStIp0TGJFSOTtiC2rBjgs1yRk4edGWdPjF28A/GoE/C6W3cAXjk9tgFFWkMvdTLRnFikhh5acguSYDvfHfk08EQJf5T7wkukA37E7RelCwrmrCnSuOLFKC87DxR91cb4Bt37121yV8A45l0ZHsEp7+ywd8n2iSYBRajfCNjrgYckIqZi5N5I/jHLgSUlfOZzjsd2UlpfAv3e5kIja+M4iiJudvBh9XsY80zPy/+tpV37eo+gkWqPpdK/ENgEWfyT9jNmIgGO1Iy1KeG5EK2FzsPtz07XsxP0Ent1tGF5ZiAJpyQvwMBs4UXjkrX2wrg/lqv+jK5JZR7HMfJgeNNRzTnGWW7bNnOQBPA3iEbpUQNpS4M/pmq1pj36qiDgynMjB5UMatoz2iakR/+RdOxDI7ZmNpr3Lf1S/vZ6i7Sv27jj9a3q6XKyRV/cl8EB+TiPAoJYnTmhKgPGuzPT3h8teGg1a5D+AW+Y4QMHeLh2zMxIwMvj8NKs1Iekoj098v+ICo08H8uyLp+wBQwFw4vtjeF5r4EWAEXsZyyEFHHsyfbvj7gHnmbIAt2II18wiRqd8FciX0vEuyrHZESVTZQMWsUOrclNLUH+EOE3gPRtdihee7wQ6P8C3rWackOrwdzOEC2AgONfE2j9mpxRmzg6we0eux6I3+r1JA/aixuSQIxJjhi4njmXGeCLE500EcnjGx0EDt20e1JrOLzxP4bMhrrzXtg8cXvsqDh/5kJrdLNdyQEPtpsu/Hiaj2/zHg38uIp7eDm7bN/9mJJMM8ODJ5CZTDc7nbxVZj1MM7/c5+xe++NfXkdkBDuc7jTQtwaZktMxprA5GzyEVn7bZmQtnfDgGOm+KxKPgR0fUTmlIblUXAvZUnlzRl3QSTSgDrKhQOgDes8/rqds9uENeuLeF/PUGUQqwVvIAm9o34w64CiAvrcPanoD7oA9z9rgzPRRY5kF6k6J31D89DsKZFJBQc8zJGfiToxxrwwfC6NCDVWmjZfHCh201LBPY7FJFS5x/bQfAz5C3dcgte8m4es5On8K25yG/5fzTOw3XjRLzzKwpMbN/e3v6ORbtXIttcFh3Th6rrB7mTTnMT20d4A+veXP7ny2TOxl1nvVTwEJ+bfo2w0h35LkvT7Yl9duq5195JA1/d8z9BXC8UnQY8vc0SrfxcjHfOMrugC0ve4fnwK3s07B94wF6+fJEXeKpyP6GXAhoJTkCDnz26RGBu1OsPogdXkxvWKnlDJjFpxaqqFVest7eEKNvxdgd8Nssqf/GEfZTrszMTdhY+MHGDD73tad4NvWxm0LyUb3Pb9gy+6Xhu0XAkzT/OvWqPcV8aWLcYkHyqg+9wxoumaveU6pzwMEfTajOzWCvNeCuejAz0hqQpYbf9VyQswHc8cqV37mt13J9npHZjQnxz+hPAfYv9NrEEDHCJBY0iUTvIXg/d/AxTxZg7/3CZFyuDcf7cpRhPmjgBf6di8nM6nxVvd2a/pSm+9WqysyeOBL7ZRrwjejxkAn7moqWZ8IbSyu8VxpfG1s/4N3/cEv3siemd/eLjp+24qrEEd9VsXLNXWuuAYMxtuaQvABy/yjH65n1O0cf1qPslDYzR6iC/DjUYNtg/xbgJcD65Gy0sOD3BBKRQA36APzO2lvT2Li9XZkZy2GqauAimSP9OoYYPEAOMvdwkdKHVX1T8drZevXqcN7hx3wF7F3lCHUnTnqGMhcHbQa23Zauf6P99t+su+PdTjE5mJxRAaYE7DgdbEnNnH0tEORcOA7I0MTcsaxKp6OZK9KvOwenHtGDIhSkkbIh9t4qVyeAnc0eJ05tVUm0WyhK7xlLAvhnzFySp/lWGL3egyNLPEiOY/87BcQD/NYtGQYOl93p1/YA+HwpxfZV1wNeqOcMnvvU4zHT7Y4xnGRml8YI58dIR7h/hZwD8ZkIiFP/dLSK/g5YvEgFwVUAYdcGLPCvtzjNI8whT1YNV9fGaisZ+C/b2NVrbx1sfzzF0zdwto+Di3lTpBDrWg0cSZBoGSvbv0NunlisM+rIuNKJ6Xv7Oulpk/XeU685j7ZFNSKtkP9h9Hl4DNyrmHbNql/YJk81Wk/5dsYjX6txgjiLCTF314i4OftP38HoLjn658TKDXa2nQDMBLHdBg7/n1Zwi48FYKZQXnInSSvDBa0tw+/XtUbopWO2oZHkPLpawG9NxP3JbN/NaOaw6Hwjnf45RstFuUa7CvCu1g8isiXPt4BPmVVC7ucrprRXHA/eQCPlAp6B98I33M4Wwe4beL5XLZuysLxDLEZ5qEs+ZBuIbxtB8ZvZEygj7wz2l4F92dw13ICvgNbgnBQwgskHTjs3fDpD3IH3l5DMbRPGACet5l5ZiiP93DDe/rxsY+/gC7Ph7/TovSo4O1jnWxUZX0OH2ro6T9vRwE/65EAC/wr+QyvNP8Cyq5ICN+j5Rz60c+VsCcS0M+vJBLHzC+LHVVGVNV3y2v1RVZ25C4LY0qEc8vCyB94PMQs1UQt0T01H1Di0n3NmkzCnpodBX2rIj3UxiZKb2SAS1NHW7Ig32gU5vDOwWXmAwBEfY3kvWfK6W372QZqdJrnYjhVCdl7gdwnvJKPA+UO7grhWVIUSpQhv5n6qFi1mTruBPLpLRfLU3iEGv2t1ySN2Mfv28oCjysJS9XJswu2rrxKpNXNohJzSSXpRMGNnVxICf/2n1XKtObx94eGKSta4yGBuCnkJCZScDa9QYXuXoT2dxHSA/H0TgONVITkp+kcFfKmEGPw74wN2nfXbHMP3qfUUl8IbSnfnpLFGDfdtQhuPWS06mTpv1+6w5rwJpK47tAOIujP65mkBXMHmYDsE7B1xFeHyNDT3NFxGyuVLOyJhmvunULfgqwfAX6WMTCxurdTiLgmy52wm8AZfOdujGsmguHyUA7BdZ9G8k/ywyikT27Ae2gKezWjO0WaEzw63srRI3ri/2ukHiDVmr5vh/XvVe90xImfIgxDjbQd87n7Mt84Tz3NzD4812JlFHYT5oNqD1W9wAXm4UFMGHFy5mpEBH1OHn0/F2eG2iXPeq/5lnTrsYT5RPCbf1WPOKpEsMtzumDMRo6xCO30F/naA+GpVFvdp39/lgETjJlwgQO9uZjT+9VPvyObAWWbaxHLGXe+YM/t/e6RbJANdVJAnsn4OKNsSGtorRj5Lh+WLO9sFONLXCThnKnZPPXtcpA+IzXFqLbLqyE/DUk8EmKch5PwgMXvtQ6NTWVr2O/DBVz/bUrPzXY64pZo4CnJKaau5MfpyZk8YOP3J6PRr4IN9YwsBXJdNPsTknrpJWPHzoobzRQnFDo95qFZe8cGezH6cxlWVMPPoEf7VhIfn3jNkdt4glNHd7YjkGxEKsDC6pHa2oRZ5z/6bUah5uqEdc/Ga7IBPA37NbiXtN41uC4hhS+1sPcyuYDsyOrLWO4aA+wBJvJ4LR3MoV4yp6+ccATOLFvDVremr6jhgINVbd8gxEEcXCvyDAY8EvjSTg6X2Wc/MDj5qdqrk/caqnZnnOrkyh+A09uM6vNo8/p2v9PZOQllE3NLRdzWQqS4aO/uaQ/w+v1dc7un79toUejE6BuXYXnM2l9wx25KwPEUQL+wJcjL49YoeZod849geAY6pQk/LcZrr2H/58rfprzD6QxX78wBudySR4kBv3plYJoEyR2hTAydI9a3AbB5YSODvbrNK95Ad1FMHpnGJ0cJvTS+YubdOHZvCZ43AHYzuzot/HShge3inmMfyR2qEiTjfxWDdwK4TFXkhC8JLHnzeTlodwK6fPZ9q4CVbIS+aXehcdSfI05k1B4ZTPXcIPXda/LFZjw8CqRcnirAjexqRb/iZzbNG7pha7bI2DCUVbyljZMwcoxfQeNTxzL3iSgZvkjzZsB7syAFO4v5dqV265h6scompReVkxKSywgsL2O/cjbQSdHDlcuqTCzG1NifZc6ESyA9jNbaWiuVDFiRoLJUcrPYD8IYE+3vUgend4g7glwHen59xbh15coXv98RsgCMERmDLgr+0nbMT2GaKwgdgz75Gz73S19JONqeu9ERByjya9sBNzH6Aj2PQliex3NLheofIGLD+vCFBAm8E4m549o5iG0GOW08UsDXDkPTtoi7I/GvzfIr/b402g1xLXNXnztURhU8bsRzl1wz5yNurQlUEYgwLpw2GnHMK+MXsZnnOnjneHg84MTMxDHIhcMVNuvrvaWi/bN49MdNPg/dmPyZF7QPezVLHvCc6CSjykdlLaPa5YIeEYI+MF/LKBDb3YLeDAzmKJm91NAW5Y7Rd9HNvD7enryyf18wCjEZ/dcwqGpPM2KkI5Z4zYvGg2cDvds2dv9EFplZyMHfPYD/wWcshK/6a79s3Y1uqFfADNfOovK8d22m4DKRF4mzF7+XAd7V9XkSfvHpTY8OHs/G8ybnS4EtT5eIkF5md9slb2m8g7soKuExXQ1yBOHo+xtOhYsueacAc8V+XjcC1v+YA3o+Zb57BjzG1Td+5b3bsSbDiV6+IqXLdlD1FlSBZwxhw2mlfOZqVrtxVz1pMc2+0ibPNHbPd/cgR57ZuU/B1YxvgU8jgOhxgwDcN8GV8aFCyAdwwHyzw8vF3zjeqgM0pWi57azaiOU+8Xo4qrPsFiXF3Ud3fi+AQg2hyh+eyT0EDNkMAz8ns1E+bE/1rZp0gtxFEtVpOiJv6p1vF5Ctn0/O+61WTEvB78dd2rVxJsQDfADxQQSRTlF8ZRTN2EK+19JmJkQH+OlJ+MTONIn7qy0MeQO+HxzZiMfB21F6YJlPjbB/w5tfSmqjof3cGVWy4L8Lc5bNpPIUQe8cpIsHOa9b+pli7aUJZEnhfx0jhVHgXwBZ+Jp41+4A7fJ+OvAM8mbOhjXJrXhunNXuIBO3+Lrmt9sCXf3EUxCAfuM85XTUH7PgFiKZoqDadeO+451eq2yvt0PKvDtSaXH8UVOlTT0YSWnZqmT2kchABxKsiCfPI8modPlTcrrnQSyp+dbF+UnPnGs2yNPtNHWn0181MoQWYI4Kc8q2AC5wG/pPr/ldDiESNRV2FG2YDkTR7A/SFDBAHXaO95/u4bwnujaK6bsFKXz23M/hCJB1c1ZY3syAxupMbFvaXSuCrtCcuwff+5ZytdzK6PlFq9mD1qY17ajCh2ZcakTuNJ6riyc6D3lNBAu/wj5UJCFPOr04FYGDvx2gGgB8D12o3+cAfdY/LJiKo1uQKPMY69a27B04BvlPSsR1To10Uo52Zv4ezK+VKMIn1gwK3wqaOKRZ5KvyKWfYFsMIrHvbc9FyaHVjAolXs97L4a+dGp8zF0am3NrJQWNGWn/rQIo7nEbHdncSMwYcq7HhcWtIve2766fe50Tqy/Z88lIL3nDBmNCnZr04g4/6jzLcb7maXtJNfOUU0c7Nb6hguO33zAgEu0ldRJEJ0vp1SHIC95U3hE4OHCLtuTgO+EZfscs4ewuzbzmez53Nho+9BXnpp6Zj5LQub7p4iKejKUzJonEfeETj9AzDHXbyDr8Q4q0ICeB7bcpAfJXy+6Ys2PWjwHAQ/tl0V6R/sJNeU8wR41FoNW4iN/+Y3X3ewWc/9xsIxDcjK7TbPWRvzfLZSrVazB4FyLesCf1WF7/97Dki6YueS9/lBHA0xF/VKI9N7wzDb3M2caoowZuvnpRnaPe781xlapl5OB3tRAcTqYqqwTa54/Lwwxi/52v6wMXkwa7FkzOHv8j3wVlJF7YMhgzVMPay5V0BGyjEzc7ebevW/UtaCDf21j/ns1cPnqw77VhfqWrpTdIpl1QBfK7kG+9iZPnDBR2I4cc+j7UC0XklHMuB2DiDVTlnzkBVsqQd+rDq0b+jfB3CLIO+RD//N1BsGPsxZ8z6/ahz3Wnhmdv1maiCnSGWE2d0pKG+AW5e0C5ccqaM5R/jMNANcV1GMpLN4PE4XYP1PPaJTKFHl9DbvsZlnLkpXf5cUfeeAexrnV9Ppx2iN8YAvtYBwEiVe3dtJWgDPQJMghdrxAJm5ADjHya/W5gIxJDG/1+DOuku9qkuyxtGACVqbsckB/3jLw9DNB6OpALHfWl54/sAdfD/GcL4Bz3NniYhjt1y0H4xLenD5DrjK5Rgum5QhnHG9pqb/LGyvgikOf/7MQTiaHOBkqVzTu+nTywOjj8zuSpNjHk8vfLhhA7/JAt+qIjX7n1YuUu+ky80xTqzn/i6LS7WqYz2enaqfLw1N73XUmju8WFI/UuH0UQd/nXps1qcuVi8lZdwFLjgAHllV/9vbc0mRfC+/roBJnvWXZw1KuqoD/oaUY5t+qerJsfRUpcP9vl99F87IykZ0aNhs1RTOhbd3M+cGvn4EPLmoTmeAL4+pQBYL+a8eUV2YepUiGePPOztSkC8zB3qM2K1ktt1QUkEcNL2HO8KyJS3+mvucSnbwns0MV9EvHCyXdMzkW7DbpBQh2mdsbgGXRGXxW0+Z6kA6bGzfiWMZHc3nXVfqXO2ySDbHkD13Lph9Kc+ab887ZvT1h/CSFuFF6HAhAD0g/22qAgtpI7Nv/T21gNf1Z/cUze+C7V49S1/g+0vlop5FZqcp9//VJ+0FF8mQxpjUzgS8QK0NkmafH/xseOcRukqEIvw1RxngfqrP9qkATtvfza4i46O3U+D/UP1P5/h1l0Ie864KkiyPFeD0xNS5O868LqX9BfCnCzzpWwwL4A4tTqPsOZJD3U+sWZWZp78cVuaoIaGQN1P6Ph9ybqpWwEghjlDnvu4f82tOCnKu/ZYCHq4CMla0jTCzLQwcpNaJLFdS8gFLae5LQuBeAeRnFwF6BH6O2msTJvs08M37bM3s4AnB3wxbc19m9jRBHvVZM7z20c8Qi9OLdJAkXXaro+3D9IlmFmAXhkk2pI96aDa4IEeG/jpcbAM17NYjVdeUyo0w+gD5lgCvqiR92kqbMrLUCN0ykYyNLf3Mml6zZvyEMhvgZCDt7E474JH9tvhPD8pKI12mveQnmrjp8MepXfTUoAFbiPdWcjF1/6PINkrLay3sLhX21ej7mnsneA/wu1UqC/Q7d5OG2zhH/aUuUFl1O5cOgEGY5+PBJhBDk7ID66bIzm3ZiRFZnJm+3ISa/TNCTE466CiNlnMe8BDi+JFTzCDvSPiuwDD8SvLfOSmdmdnIuL285k8oxI16hJhptcdTpL/MTicVWQucVSbdT1NXCmo38Y+IuJmZPQ9kl+bzP43TwOjD4p+8Q3kq2srstfq/fUR7C57d/nSYwUYrGks32YueHwB7P9hIaOrKvDbwnXOmnHDBPcIQgRx4X8PB6IlEyeFgc1Fad4cK3Bl+A3lTSPO+mX1O/6ffu9Y8vTw5U7e7QV5aKiR5NWDA6v+00tNhbhvgK9RuFjl+uux57wP42fQ9DNjsuCubAj0ENX2Z3lNPu+7JBs7h2IgkpiN61RCZ4d5Pu+Fyoyw0EeaFdRzeReh9K9PnX6RObSUZDSGXwYsCdDdXTuiZPr1Tx4ecKuCpELdCSA8dJ2bfcdmrax7rN4j9R6pfvd/zU2+hEtdnHwNgpkpF3jUN5BXbvtFHsWt32ol8TiCffQNmXYHPfWQD+CxVG4JaC7hWmuv/7hgGzeVILirKbF70DmARl6DpFaO8U7REnCsX+OaBhfYt0/JWc4nyXkvGQ6sa5QfPt++NJTVl8lCu8Huiq8eQuYu1luzxx+iixIKfL6aPOesRqnouq1EDd0Cr6PWrXglsDNCy9tm/OmtmyTG9NKu+GC3OE9IVpUlqckDD1Yfg6k095j0wlG8+oAvX07WK1J1yfFDASyu282oGzzOkVtNDfIi8VIR28ftcXD0okl/AudxmRFE1AnaxfXwMwY4sLYAL9cBH0xpyu9n3CFj92Vf07EN56Q/l2x9gkGLvyisX6AFMbAasueEMPUjvve43dpBvElaUC4MzJBDLCCKm1mrmsd4J+BfTRvd/MneMkXTTDeD2LHWyBXLYlAZm39lyJWa3BC29sk9GM68AfCpqQu7z4O8FePxL13Fuinal79tSGl38kd3rcLpkq0oa54+nRoKrWH1A7k4yjXzAy5E0NXyR3gAt3qv86p56T5ciSZnFxYn6e+YsD7MxMtf6G0dG5/S1S8Lob2iXWG2wB37D9OdK0ZS+9lTkvXcEnnVj0flxCr1MPvU30E/ZKcGAuytLLY3YWvAOY8BQqEZG95GvfGivJTd3OXgCPPvisPtMbDzIDz4PEZwRudc8uZ4gHkFu/D5ylebhlBLLLtOIf6cDujdM2SXFEuLHF9f84xTJMrdCi/ceIePfS8W0/8x/+fUG2KIATvHqCXzIfrZUpN4FsLoMkj3u2jCDTFh2ZGG8XZpBjYDV3mlkrxDHszxoNjXgAAUxCvC1S4F7wfd4pGwxCifXI1NTBf5Wh0mXrRK4wm8/9tCs/EP08KyOWnJh5o5mxE0vlg0YzTa9VlPU9PqYFdnCzVyoBiyA8CyM/qbmKQsXK+8hTvVygfx0YyGRabh8AT+4s8f1Dv78usd2zO4oFc6jDHVes/tDcKN1yn/Sx/XGLOC9HKGMmXrx5yYHnFEVU9qwrQ0Yywd8IGo33DSuHEW0CBKjSImtJ8ZJClM2ZxJS0K8W3FNbEXjBFx6wVTn/cCwT27Ma2o7pNstHyam1LauI59i6Q04BXgP+K3lLaIfeVLg4R+r/8Gg5POfmqf5J+3ahKNnsLbNbqH31zv1UDqdNtM2rWMcNOHU1op4XpAQ+u7K+dzJnMfNCNxkhs0/0HYd4aQqjDaE2qlcHM/cN/tpBbD+z1dSONc3665qy2YX8PBKtXr3fF8CsX4DRK66fOHUgQQuRCqVlAdxvQDTl7b5ZUZ8z9EEQXuEMwT59yo2OowvPnW8jCVgNM7xLtbw3wgNeX3rH/M9SWsQnQ/Y6w7kS+sjC2UuZh9I+W6pAfVeIs2r4Fzf4kBQksvtmNDqKbOGuHxFLV2B7LrWuS8O8RUXTEXN+y5w2byLyY3TY4b2EJGo2LPyd13s7WLYj0NmGXMEawMuCLSYvv5UjGU8MbMNNwhxNtFqx0Ykuj2HzqCMbgurW4NWbWSCgom3bCJ4TW30Bpv8+FcohK3kjHf9pQvuVU4JyZK6iCTU92eSJD4APc53De/GkJSfsTu9HM7fctxFQPg7+K6j7uaph0U3cOoDQIR9v3/duaXSmj6SYYkEl8B52gfyRYrR73bO5qZh3jCfmGXw8/jWzAX024neh2we2kmuOZKoCPdRje0ujnQMxHyLYFB/c1D0KxUtHdzyUnuySqLT5N7Mk4FNs9kV13DI7Dz//rz42KoHrsr68sAF4OGCCksklDz8tHieO2cHYmD5XmgD3QG5mQ95wcNVY3oUW/hnss00jecEQkwB7PQ5226oidJpAnhvggDnir/flQlh6PPerFehqNAgBrxr9vMcx+lxoaONmmE2P7I7QxDsV8pavxGiHFbzA04mdLSz0IetnTrvdoxFtZDTg5LCEp4BgwojRKHy9L+BvfFe7ramHJ2DXD7Y28O+21QgbYcd79noAPwGumIy0t/d7s5W+8HP4/CwPl4giBDaHAsBSUw7YtSrAT52NBdj+R4jt9H8+C0OuI6RHoonsR75iwNUSuKBih+cc4lNfz6ko+E2k23z4s5ZOcgR8uOCOO82KSROjEjjthJ25y63l/TmP9N+cnHL4Crb6ihuAS/h35uodIOJDKshX2hMbW9s3VpApHc1s6+RTy8xYt2+mr67ql9svd+gTlIc7B/j2Axep6Tkfy8GzzX5MybXZ7y0gj71wr3sKSXYM0KSQidPqcHB2j2NB3ksD/s3O4wBrwJMbQJ+PZoAY3CPTi7qDGEkqwJMZ5OKMyQ2z295obnHGSdO3VmMTXA4bj8U8fNXo05Vb4DedKM4OddFSrT6coledKG8lm2zg8Q4TaFTMu+RanYFPPojmhxxyDHC0D1qgRRSJuag5PLm7M7u52yy5KzXEoEEi/tJ2tsBHjrzTz/m7vatTOnhDanbzrTIUwFfKvrwp3q94xFfSm/tdb27c9nqK5QcOp+oYJIUcWr+K251kitcM93IAQwfGwSL7WvbNy5fzOpTiqaMh5Du1dSxXCeeD3BNwc8ihz5pw2vkp8JEdoyXkYWwJgT3cmb2XODzFRhswe6jOv6TvWwEYwuLhMpSGN/WyAv993YtmVcAHyD+dgLM5De1PzmyI89636WloLO7nMfCbMYHvFAJebu5V0H78twPBcIQLDbdvtDBaJxxnXzM7Av49Ib8o+TSlq5SAK51fLNrPxanQpYySswSuarhaCjkK7MPM55se21W6/9WBuB5ze7pTC877sZ2Y2YEXLn1K/aq0FhdspSRsYVT/vZyidIODT+A66qUJ7wILvILP7eqvq3NYFcTT0DmBvxwNf7LMTPfnUhWyBT8F7GNfgHOZN2HmeA+A18+mNpTZfsSd0HDMQ+bK5/s0+6caqndN771q9LdywDxjCmLDdkkdeK4CaxakNjUfE6fufm0ZnJ17itsvwHtlak1IFOBnzAZM/dTkkqbvvNY4zwdkYcpR5ugdEfeVPLYC/OG1Q62V+SxM7ZQ7ZjaDF5BhChoYjtdSMqDDCSVe5baRqfvlIXuc2Oe9tjxHRelaBRCrBh3/4yWAGxkgMOe6SojhlUY7siZngl5x47pALjH3G29YEODBu/tz/sTYcajdKsR9PcjSxGawU4xZwtLu74OOZnJluQPetYyGJHPbnAwTltH0U5n+PffveqShp9iCgLN+ve5SmgIXDeCqfJivmam16L92Hs4lpyZ28eqEiDDc4cSuFw4+anrpASffjtz0Oc9mbvuYvv8x9+YfdJUPHOwsEU3p8R3ej0B3yKn/aXFfIe7svLKTgDdQR0KzA7FxSKfc2m4htuovOkqqov4hXfShAtmeEPcBK+NcEMJ706tNHlknB87mDTcarxFvzVw+4PHK9AyehL6+6noMlU7T8xsdJzuP/eWUz1+pqe1zfFNFcoUzgfy79fCY2BVw4SpEWPHW1A0FcYEpDnbRFNrokDyIyRMOzjM2vdeDlwM28k5ifvFliN3LMdP6XfbAHGL1nVuTVYoFuL/kqU0g9v3d8JHjsl/OqTC9SE88YqZl7IpxUxN4w9z/xhC/BQs31J32wKU9geC/D71FbPKqf11yW9+ferxFW5g7Svhsv9Qqptb81MJshqulnMQ7uNLDQ+LUkVoVI4WyZGL6L7PBuwPXNbtwGKZ/L9j9N6MMGMFmwV8v19mL64WnsQW8hd26SCzi6pb2Mq5cTfJOdyJqfRHxTT4CNxZtiodPwLhArtlspULhMt+2wKWBAwG+6gBDgK0A17CZqz+UsCng/UGgv6/73uUolrWGcxUotZTbPu8P03ALvwtVqig9XJgdVmAXQLIBF7jS1I767JYxwIedD5wn+TB3ODn4ADzLrqHp0qB2VYD5TB2eoelVyyYkknRvLRBT9TVncjSaqinrFxIlRR2TjbSALw8TKsVUVEMSKYoiwO8tfP6E37d872Kzf3hTDgkBvNIJeDbgYejZB2tNd9797q/0sx7HucBSUIXgOwLuIoyas+ZTXmuIQZoUp779wBYZsxGsDOn7Uz8AsA2xGqc0HO3Zk5aaHZMfOSVVpflrDnio2fTiDjNn2w8yQB4dZrMLGKzW/sgYdrkDXNxCkL+ai3Q+b+BzHziSCGzwbOr9DKiRitVXDX+tsZMsc/6sxFp2KdKICfx+MvGOtjul/d/aaOPgqQ6aO3Ugro5mtm/GrFNDOfpFKhIB/EfkgzIzGvoUJCHh6q0eADVYaDlFiTiszYPGeuHId4+h+W5Ga7G51G4yNw7P6nFKXrUAOVzteuT9KXj2a5xr2z+nFN0Il1EjpisddxsmVJUNymhMHSDu75pn3c/GB8fzc2S0DPgdUAuRuh0YV5GZnyiduwP4ecQrf82NHtNhqcCvKqP7YnZH4f7Po37qYcsiX31R2ekFsCHYjIR3ae7J7AMbvI+9gz7qUAHu4B+8DwEnyw1BhuNKj4XwvUP0AXmAU6Fe9xsXUyuHvDynVE3cPtunYbHSsd2Tnn+BX25EOF0P7hQyCmyKzVMa+wPk0hHwaEeLSRI7fOT62X99qyjOqY3udbi51e/zhxgJcKb29VnHBuz6qcFoc3PP6QOeXPmKOuAKR8idz1oM5Fa7jo39PXv5hQyT4FQAT2Ht/ci2ZzOXWIt5kwdqx0S/OQqy0NWX8OctYKfXvSgy2kg8Ih9PbWZb73NT8+XPecUy7c0uFyCBtLzBmXgE+R0u2reSXVc4j/REcY9tvpPD/VJT9NV0YCNhq8GW3hkNXbPb1vQIvfxLsATivLqUrP02uBnwYUUc8Ld/8ylvIgwto49stgTKIfPSNd3kzJs4JaPZ8UHtvza3Wjtlymj5Q0z14BwQzoSZT/dXrH8102Kz751A6H7ynuHZD7HhZrej2B6Y2AZNqC+CE18IFeZDEmO2czhkhLwnhmdepEiNHQ+s3+4PK1+aLr1Tmszc+rNiSr5IT15xw65to8yZWRA9v4DPL5Wzrczd196ybAbcIXcS0ws7VP0W54FR8c4uTQg2wdSSxhigtbLyr20gi9YDnhNTWxG1Gm0i05fENQH7+O+z3stCxvWqIbMmwLfkd2Xr79QlTmq3K2bbS4VUYXRGBDX7zxebg78DN3Xzwo/3NkbU0g9qWRv4/cdaT+8ZS55a0GBXE4l1mcb9C4vOjZ4iw2HLwv+uBg98w+6qCHhc790lJRAT5TdgmTij3JXvsxRBaAHP/aGI3KuiPUDOf5PA6XlH0kpsU0Xldx1OSQY8oeLoA87nVctezF6gp15yQIZT1+7o158VcnwG+PnGorYjHfL2FimxWU5l6w1eW8CTyzc2/fYOoYBRBhqQ95QlEuwBQb52hLm6MBgv4qJC+lVDfDQ2LsrHvODRt1j8904ff9YjIh7gEAt3uqwYfE9r6oSwl1K0LRuTCbjfVxOpGPIAYsArZaFNfeic24QD9nmATyXPevWgTB2c/i+nJIHssaj7lqdcPjX6DcbOrBmXXXqjFO8BVfcQv42G1JJ2OxdsfffcQWT27/RtxuPnXOLznqfs24SisyU7kpl9Q6Ijv7VsTpkNWMGvdHMB/GjlDC/PPZtUO2WXAGdDB8A1PyQ32suEY6BW5fh5AeyTAtb5OenkaHreS+oXgH85YPb3PLRu8LyTdPCmiaYXX45rNFWANb/rQfvwfewqXMomSH5k7D8awO31sGUZ99+PYuNCfPvIzK4EkcgTb26QWyjg+a+qb20pMpe4/GDw4ylE1omfbyfWPHWZXljUaF/yEEvIP5AjznYDVlOFPMqK512ZC0zLlSvxlTOF5bDkhp8pqx33q4K02fqmZ/aETI9M6BBgDbKfbjS8347o2b94VL31whuM97bg4Qzv0Lz7T+C7NpFhu8DvKMiwu3CjMWqhr3zQGzZi61jIKHN1wh1eqtEnqvvrNlwhDM+dDUYDzGgRkA8ShisDvlbq17yD0QI9bzKt+nIErGt2qIwIsNniniLPBi6Q1ibvfl0fuEe3bJQ3sqIvFloecHzggElK16TgLpJGW509Z3H13fSyUYQ2xFKJQK9Zzhn8hgxVZJengMyNhd9OIeA2598ewEosHtH6URXkWjrqTgGvZ4/tlYbP1reD1MTnFnAInoSQTwGz2EhZKIGYZnZYPLUnamd67Xp+6uSfRHKgvIXnIm9c87OI5h5DTs86sgNcesdj+wCfQITD91/RlfbJvYq8HrDnBWLcz6nTX8DDgYciVrpkA1yAZLT1Uz61p+H6vzkp28zwKvgszeBpeIV6GzD3TrmkN/uic+4D9rSXE08OdRdaZJi/6q8ZOK00+4fCva3Lgz1JDFEdcsj+YJeLiM/W099Qe8jE9TXv8MjZYnROv3icZI17thrOkRrmQdrtkK64w2O/4miy9u4EfBWRGvi76oCzDtN77oYX1eswBcwBOfuqQhswCir21t0xunrS1cXBee01m89ZTwbqAH6OEfwvthuqNmYmksfte6X/WqRL1jxAJf2av1k/STok3wdXvwuxWasouQo9zcztF/6vjmvuQzTvZydzlAXvtWPFbzw8lF/bXoT8DeLAMbO8KC/wLITlqT7bAKZ5fk/wv6oC7pZG8xniMYU4tyNWf0np7t/+7H9acDmnf93SLm8Qc/aM8UE67HJwy9dnPXe8n4okrVbZU8cLSVfecmvBjAMKZFvf6GRJs3sg+OuUz/xkNIdasL3+1hRtxUaSQqZdVBDC79NvR2r2dcwEnmsHvNKX8IZfNXo6sgd8b8Alfy0xhHDOcl9bdlEa3fXI7GtoC3PHQPp5gLMJlIU569IV+CvwjqkA3AYcYbmZbjjpGj0wU7jY7s0+4BTxH/CXV50ozXRvYep/82jBDQOP4ZPVIF6Y+nlG/RR8XFO+c4AybsjKn3o7aRfaiqO4dsiORbjf2+3B1ByJ0cNZ5VQ5kqZmj6CbWJyi8OVf0mhGRwmmFtqZnsB6+LQMT6hcwNgd/smKxisty2JDO5GhjQmYQWnZPxAbN//ZAlIBYKmRgO/fHRGFLsQLnI4+4IJ+A7jvdUf0AfEOGLbWwBHBxjVjLBlZaGZWPXIS3NzBDs0Ifub6RyraAHLyfHzfXjHgJbbqhT62kkQoakwPnfa/lfh8KMqNnt5XShtv76hXj/SqgvbcDH881SXATRHkQXwptbSbAq0UcJPQCT31qgOb/iGrujKG/cxoVWg5Zqbno1CmByPJaAqIDF0Vl2YPwMwfc4r136WJf/uWZb0y56TbO3eSXhUYzhmwB/Vvxv5qIdemKx0R/HVZOCfAid6y1TzbZlFwXifOfciNhBWJB98+aqzWBxs88Aj/HI3WldlLNYbOL2brtxHgtOik+ZEzbzk4c/WcFxr4EXeyJCN3AK32wFvWrEDt3tFRDbiwsZ9YdJOHEqeA7eTKB1Pvyh/zd8nVA2Jsxh3t1xZ62fwNcF+V9SjI12RJo80mdf54cvjjVMLsn7AXNqLdv94ENJo79BzyDLe2azooDWjzuxZ2W8VJAhipy3nrc3d64HDbM6SeOgKq/51R/TG91MTuPeKiSNCdA7yBiKC0SL+1IM5JNiivpp93owtPkb8QmvTl+gmxAedE4N2R6omyZGKUv9UBcBcqzV6zModcK+O2FL1+5cqiBl5OQlQRICzwMUdiJ5WK1CUrpgPgeA7c48xXDO9GfddB+3ZE/ltaEMEgD5cW+F6gnNza2JAoRxKQs6lrAXcTGeAtwQAH9eFvn4P42v4Y7VM8koW7mIL9LWbm1Gi0Khaaee2Cdwpsv3VLiNGnWKcnZDR1pw3wzktjy8OzhoUac59/hs8OSneamw6B3ZHvyvFec23XPPLOuTU/VDzthcCc6n5J37fon8aWp/NO7XDEURX+gfif3CEX+nXULIKCTfLpO7XajzTi1zRGSWopz/S5QYw6QB6NK4HOgG9etiGURVypd0bvKK9igrNBCm7qmmjaqAHdpaVHZkNshp8vId5UBd9Lof/p9KxtJYp2Jvl8pus/zRLAE0c2Aq9m5WLmw2m4+d2tg7+2ZU6B18LZAWbAVcDDXCcr0+gmAeeauxdMNQc7/IB8Ko4CfchRtnA+Q6UNZ0VhxrlgXQvYKfFTBpiMy7cq2vLaaR34e6/3xTO3BV4fAkfVrrTSRzMkvfEBavpGhc1Po24brQUXE/ht6WGNImn7I+//s4W4fUtZW8DXudXOTIFLt5BbqBo2Zt78YTa5vHpT8YgWDkedQ1zMR9QeI8DWFsI1wyS1tg4XZ7furxsqEK2oSv5pbSctYMLV6CEDDwJsgz+YNQWkn5DqFzPXcyGDfQVO1Zfif/sdRDRh0UO+6/o17bff9Wr69Qj4oT4Chrk3iFDaW4APF9PU9jgK/s0E8LZwNvtG23RYzE4zxIXt1lb4kC4h3LE2DUNGZ4Wn4rdv2eyytABLfoFfwnntFsiih2OhXn1gDhU2hVwYN4wMirX5wc4gf05D7uw8Wcgh71CRhtuQB6oEnh/nVMcqBBYNvn4U0vTg/sb5NFC50SXOh+2t6qWsLIg9FOwobh8mtrJomlS43eEAeJUF+XCwCxZ+usdQHfcu8Uw/aW3pH3injDkYfE/em8Dsm766gA+8dAxffQ6JdBTwr41Xa/9+hNyDC9+C2H0pe1KZfRTECb0Tk0Z/uEidpFQDuUI02Tx7BrvWPwalfXDbt9r2v4+x2YlaLmBXX8qxLfG+/QEe+pp5ZBJ8lAu1ywT3SQF2JUJPiS3wfdO3ny51tO0gOpr6B9jmUx/yfAo9iEvbL+CvF27zR+Pot9LsjnO2cSPgvTMvLIGY8mGayxW9alLP3fXABS6V0f1GJM+EfZaB+kkt8nNiHrz3f3OI8C7cTKBUxURCTv0+xWSuhuTcMH17YoTeaPJuNY/0Dx10Tym5ZjoBjmq/+pY3jE0PitRcinmCfw8r+nclzm9c6DmbhiNSE8SNUK2faxOb+Xl+AI51r0Jv5ZFXwee9A3+PS2vJ8WM7sFH/kIGH4J8QY+XvTHHmIAQ5LuFGD3YtndQ2vUH2AfP2mLOzm4GH5y52gKPCO/97x1Fy+a+nYm0Kv8CO9252+Z16+0HBl7nYkv+PqWtbbpRXuq/EwaTGl0NA2NjIQegAugPkGmIEJo7Hxjz93+35nP3XV7t2zUxig9Tday2pD8ClsQ5uKRaxQLx5YUrS+DTBOeViSd1s6TaAzx3YKc3An3IPc55Y9R+fuDPAHPF+HXG2JXynMsrumXNeAKcG7A2X8/5GQQcYf/ougLvSmIXF//QX/JveFJ64FV7qAxaGEIs/uNuFxjVfFWgMAb8LvPPfLEXZzton30V8xR79fv7ffQrEftAfa1AaOoY4d3/Ov8F8YFvhTPTXLImwKcmjljaH7xmqRS9CdJ9cYC9OKduSCarMjXm5A+JO0Z6NLXDVwqOL8NMB110BLmTie6n6dAu+PleOmJmX5urZTzJbNBcvbkMrPzyZZHUp+v968MNK1qANd+5vX6psaYcpefbGcSfVbPrbfhFBUaayVtVCF61qsFSIy0E1aqYd8sWk/cI5GMzTu8xl8v/NAXdoVAWV+LUobqqq/DPXwNuPp/AKccGTNru0w1oUmP//tPGzQ8vuS8RbFyTmJK2xEGcA1yjw1u29wT78n7+WSk4zA/3ROtan4uesMoIo5zYQp8xG+JKnY+32LvV/r3Cec5PYRQ8dKVz57JdUPPNNCc9leGbuczbw7SBMij3Fsb8XcugMeH8GPJovbIZ4kmlc7f/ioRapzsqp3C3tBfbIAp9cgY2XNUnHYgOcwYkD6aeCEpwDi31hAK83Oj2ormcuqXXieNhDmuGsgRPmgGL/8PQjG1OOc6Ian7zOlsti0DHs2b0BSrT3gEvAswPG411zyP7Nz7thT5N26AAjApwlxuB9S9jzB9jEhS6YD3a+NY75OibpwkbjPs8AJZu1YHVmyev+a/dfnteULb8hJk+AB06ghinGuWa0TLf1KfaA11yAY6bmRDasJCv4XmG8dKPkBPg/3VqbIV7FYlhHgNf7Qm0Bi1ofPvqmE/344b02nfgYLsBv78eSnNRIy6q3B4azhq3Ux9Hkz/sbnAUHnKTG+YolYBQPP/n4+3IsqQP8OAVeEh5jttSl/aps6lXefClKwlvnp94BbODa7/3t7SjD+BBrzN8Z+eCKJtJnQyxqwRVwmUBhfs0YouY9FZs/AWhDJjnms0rQolvsTVweN+lclWSPfW+B9465Nz+ot/2ZNZbF7FIV1xm0zcB598VACzTJrxls8t/szIRpGtNrBjEJ9Khqku7x7E/Upwlzvn06BE4OWqVyAvBfHVVq7TOc7+dawEKS7RdCX+cbhpPbc66YyG6ad5kqrhx09Xvu2YNW5hvvSiE+zG1xfUgBuOHrquYhxGJ5x3xe/r4GHhBe6ON6gFjY7XHGxet+bMgd6f30BxizwU2LyPiNX12yE9mDLSVHnrqVgliE9U4DxOFSumK4+k28umeJUYWleN/v491Jrdy+GjqL567YKwJ4Am2BS/3rtRgotrGv2HsQCdZEwfOWaYK5LBAnMGYwQ2hyVNWq6qe6hSiGPoD13vlAiJJyrHz4vZMUhoTAH7XEWY/acby9c78Jz16rMgS2SnimXrnEmG9DarCfUm6w5zOlxagPWoZvNHaltNvnrL5nvoY7fdEhJa3b7YAj3YC3zzQOsCaMHm1aKvLnVongdlRdgOeaTADfHNyrtvmL9z7nsJuI/IV4+6mUwdwRnNAF3Cr8LJR7ZwtT2Un6rTWf4DFM+mbPfKOxVgTjlZTpO2BOCZge1q7Bex0H+MNHm5AiO9mA9ddX3vKebsgE8f1WF9cbaLYCtEKIc5RUst7kFmzUp1qUWPu0fpcbVoA2HwE/VqIne+oEJeiJEuIj9qoF7mRWesjumPdl/vFLsGP9qkEYmoStuBecmgW4t3P9PCjUcVqJx69H5gUa+OByBIzdLeaNe/oNbHwvVAcCpStA0+xlaXiWfHvFQu4t8EvtdIe6TFetE2AO59shZq/zDYcP89KOsSviXz5OfxOuzmQMMSSmUvXbWbv0E7AAZ9JUcjN9Uhe0s08CsM0oS55nm3suTMSxB6EDazTonRHrpbJ4n2byIspeWNmz3n0HLf3JB2dlvOCSRWkNMXioE3OouMa6gfDAs4fk8NyOXoH+nJqYqmpMq3bpzlkPvGi4onYPsQ8/9kCii303hN3VMG+YG77uiSCOyxMtzz72XaC+PhQ+48zB/C3SgZ/fwabvyFFaZ16B/QCn1r6KZblzDfA/nWC/UcAsjKulkecAZxzCXtMc+LIhXamd9FXvcD8O5D1z5p0aOkBfcqqjtMtVN4KdnHPv+s4juTnycFX8u8/C+iN8l752tW594ItyIjoClwOPK0p5BU8ELDPvogd2JuX7/6vJigwBHCp+LUfQsPmoP/LeJcdYXpHb1T4FHSwhBkil+l8zfb/mLCId7/Ecm+3Bdx5q/PMArrtTPV1x0u3MQs9Vf/1r3DDdeW6nk58erftDDHK3l5fGtyuepJ727EqBbwNj8nif7iFGrNSoKXUs2D4tsyWMpTvVxwQ0Wm+AG/y5a3WewRp98IFT3f+5gYVdaszThhgKtvTiohJw7VGXYpX7doa1zHHWtozTgnnzDu9Ri2ftnzM3cadlbG5mQ+izN0rvavWcIS9WvHffjieIa44zH2PnfkziWSfg+S5wWDW98CtQGzIKojt4F8aI/GrHFGsTg6YPSCbYtVXkYvyzW3jyLxdzKk8mPmwM1rMoBbF0v+hrrtYRcpzdQpO27D7lyeagBVbHIdiC9vxv5sL3nXomBMydar/r8I7iXw3dtS5cAp+VCg34hDqmTSqvOXUO6DQG2s8z7rRrFYgFkNhKTV0zyk471x0lhGHOHnDfDeux/256+V/uwTqsOf0wQ3AHLR60xF5kgjntV58lVytFdzlKi58VAze8sQT4epxOx57NRe/eM/HrDn69ZCMhGXirXCTm1UYq0W8N/z239sc2pkPJuCnN9hgZXpRbl3+uw8pP/9Y4W/FZh2iqdtPO4HvwAvqzScy7EfrEYnJoLakKvL8Sa1lJ7dSLxnvCDSVTufc1ntFO4CP5z/2ylbeMh3v4nL0Evsad1erffA3hKWLAnjWD36spcId//ZjXmpIuKkRwplwCTgae9NKhtbSnvMtN9GdVL+wji/74soxXuCf/reHSRLIrPIi/8cxYTCnwOlmM4Xvbdwo45Z6XLGCliZ/+AjG/PYVhMaSn6n93UN8QtzRQKRfn7WB/SuAm2iRBX0etK335ysUaYT18A/YGHNA1cTBr+3tl1PlCsd+VWM3HYfL5pgXdohMVa8TgTuIMMo8MVOoDzmxto84xzjo7qnXB4jmRZQccTjqVF8Q1oa87qUKV+m9rzxc29hcpKfbp2bR9HDCxZnrYPlqIdWZofcxZp4p0dLiGhWAaYmOeC+DW1j6AWwIvAUz1zpfjST/72R+VBB4bOjp65dwCF43px9HSWJ36W7YB7BL0pqL0kp9CAutTmKcPzHfeZ3fUOBBvs0MyAa+O7xmRd9pjX5lJGqk3bcL6ymHXgrO5Bn2FcwRbx33lwPw1SgsTTwP1Q0eV4TN/Gn7vTfhsyiRywD8reP6r7MUd/DPWC3BVAporYttmkB/aoWMmrFOMkvG4gz+nrNnIin7+mrHeXjo/M0BVjqxb/MsNboe0xDOEYvienzPie11CpHFUUl3kmL6xvr1riNP8FENMcFZZgj11q1mfKAON+25KeCKe33Jnfc7i9V0MM2ic/53bGEvkzidlJjq39elf8MW/eqDvTMUr4IgEuJdVG9BecfU4bDrA9PRmZOVWINOqEvNFya1R81Cd6BU4Ns+4WSm1mnPnOuaO/c6S66vvnJOP8kZP8kGVzqg4r9jmz0qL8+3Zs2GsAuCA+8IF+uNvZyGA5/r0oaJwlRF2kiUpj7FOMtLdxen3vfnf/n5K52pb5abV+DNf78zlBHHdfB/EHLYbzemJ8rrX+9rTiymn+vC+Tltv7f/rn1wtYF+YrxLAz8XchnspdfHMeSnPWMf4cVSrG49YQQlTrUjhM+irri189hoAe4F3hs/rLtkgD0Ld70yx2Yj5BP6E71VTSYMsTsN//djkHtazPnLSc+CTmBeUA19ofBrsPRuzCIisIDin71I7P/41UhnfJem23HHrvRMEwIsf8vTbP2LtViyzbJQ4Y4GLTYo13xnEkVTg3PBF9tT788wBpc6vxSTPeZV5fgJ9WbLvTFWL3HRJQ8IXVtIWtEQzrHvg4F9HG3agUYdKrZa2ZB4XWFOJc8dMLiSss5Tboseen5bkg9nsvSvOeaSZWgN/t8BBpr+G97d20D38/FxE4Wwc8/ou/LuwLdZu5dIbg/hHnVnVyhZFP58VJw/si5S7FLSrJLRk3XFg362Y0tpbA0dyHBBdK+qCUnLDkPN2JRPAKGcNu05L0GkjcP5X3Bjrnlx2XjCLzfS99zpLy9grfLBfxTqI3x8Flyvqy6ryCWBEdmOu7eokzYyaWY49QXk354JOhpA98Hgvi6honKmoxH3J3e4bNP/rHPt/dTaJDZphPrSKeQ3ROy6mM+hSjCFXRTQFLdSBJlLmVOFk2AV4TqLBFjgJl//F6qCG94kPpflAe6aYd3Qyr7yUjXABxCObMcAE0IPOcdCXAwnfja/FYTNBbEr/Ih/KeuwPZSdW0hk+pwYeDjxyPTVR96x3OEadPZAu4Q5d4XqgxmCJ/RDq5cvXIf/Xw5qAPlXtJgW9DHa/6Pe9N6tCXB/akivgbkzd0GncHjiXXIybrmjiInaW+aKrY9xtuPjjiCH92Dny/uzlUk6l5qFvkv9pPemTpFpyB3yV1x75qizE01PoiXiLfTuGVukrFWvO4B3qAc9W8rtOfmFNkc9jWCdiP4xP34XsGMSVSy3TOh9BN3D22fyr635pWIf1oM2wR0VkOyX0yOwEfx9WjOtcliHYDX3PxfcC/MUr+n7R8ZRKmd1/zu8lxGPv7pnxzw30eQ76Xx9H7HltdjvQZCxJX/dE34XoHbDXQ0MynAf7vLNnw3ph1tSV6moG3DF3Q9IkQcqVibm3mnUZuixxY6PyoBKzgn0tdT+FebHeNv32rmMrnnMYopABZ/jJkc6UDArPciPzABRKzos1cM3pDez+r/Fm7FU1Vjx1pUsh3ugQZ9Ie5RS3fevnsvOkuMYF9joXxDFL9uCEVbAvH3zAM6bt43/9Ab4D0OZs511vED9T8bje2zItcSYnxXk1YzepjbnnEjTKs9dl+nZURvKEeoCH00GR+0G452o0q4ZMn5rQtHJ7r3BSr4jdfQN6/gBq5YWVUhovK23eis7LnfluFjEflbipwfrZKd0DP3lr8Fx6sBbiNJ7d21ro27P36dCF3JO+Jv0jE9rZLzSqHJcdP69ffNSnGv7civXrrBLz0zqzyWdeQuyK9CD8MPmpvR1ZXdn0C9bxbDzgKsJSpVKICa5oI82bKL4cBPDkqNuClomks9aZHwdFElw16BvBhdf2P/PNmXj2WpT3Yy9z4IOJdkgI1C8xC/afqFyV9BdGpg8mjKsjnJOiPwVPPT7ojHmmKjjRTTLtRCwCrbAmEc/dZgFvu4I9DPkwlT9x3pmzhps35rkkizH3297aUbvYw7L13Gc+qUFutGE11o6BPoswL/nIf3v5EhZgZzIXZMJ6ddCygfbTh3Ys3/kh8HIiMH78912nWuAdDf1fDnqSBoL0s/RmR47kDHq+5L14tMSgzX5qRW8taA0hdA32mYFm/c769VyJa9qOZmwJexO2+2ij3lfPfNxXruP1s7FGKJutWE82ouy4UNNKP2sj1vyI/ebjNYijdNq54aoRWupSr4z4hfl3CfZeVOIX6Lo/C3C5uuV6qPrOL/pnbvF/+Wz9/LJ5sWFxPfy6iAh78v9e4Z0i+PtfKiB+ufRRAN03Peac2rfnDCiIb7WbYs5pVLmaNaO509KGhdLbZ00Pxg3M33Gn+aA6VY3hKycw0lbcQaO9STcF/HUw30JV3vWa2S7Je4szLVY18AK2QGx8XD3DISbYtAJ9egezBC6ibw2XtYnngPPukanJbfqJFmBjoBdDwPZXvujKjLYqTuFVeKzbu+RBUf/EqV84bgK86hNnaDBxjbKIcYgBk1QxaMwAZ96Bfaa2del73c971j99JNGD2wnslQfYCvymU+NPr+APJkNV9Qb4qk5ZQvZYh6mGswe64Ya9xWHfgYORy9755R0gXoDCieXSPhqH7HLvSsBHMFcE0C7FO0bg+yQBbXMFHkpZRBnd2NfdzeHI0zfdA0QN7iXj1WKGHOd4bduB/m0J7WqXpM8+3mrrFzEZs+J6Kj6vbyb+82COq7FvOFfYU4Ny4GErOtq4UhAfBDkwUMzYK/O/7/risb1lmI/7r//aRivt73F+qv/bMWN1oTL9Fm51N7Lzm6Tb0V5PzZiqZrFd0VcrvGdtPPfRvK+nwpci41tfJqwyPt7541ld+sKvyEB8LSL7buIrgzhwKJLJ7rxVYE5kMt4VuOezZ0cMnMPRJ1JlZCp0rLG32KcesN/klRsSftPhDjihi4P49eBO8JXF0geuQwr3z/yDy9bC50FsBXokkuADNIzG/pbMIWP+7AclsS/xgZ+AiY825ypzgeOnwMs2clg/TM9qwKCUnTToEIZ1/SVo8xXsveYnQooNeZ2L2iN2jlzC095xS4Z9tQTlBc5sStj15dvSA9MSwZIN7g47gUO8HDWx+yyxlPuVX4sA4ijODzqvKM5OGIJceOQi/us7+IobdCGDiNsH2H1AHbPhXvrGPZaDRsyyeD5VDujRSN9bnLM0rDFHE+sKVtqaMX/Ox9YRfH+dJSLInKAwZRgYRZgeQXfGOJ+je72X4LFbQgxTeS+T3G29vUcY9tk2J3ZubeVrG8a5zXH2yaeJ04ckeIcviQLtIAHnGuBvh4215iSWhtAQrGP1vEuVfxy+4L24/Llf1sJibFGgNzuJdcxefjc8ng9RezG2mqsB4m4Su+0QbOUz/rmrOpmAT4enVk1e5WHeH+wFcEn6eV0dxXnRMkwzZ76BaX/SU/iTK9JiTQih43MGjALsLMN9Fm29Npkf0lIiEpwT49wzz3kYZ+3T/gqxFThMRL9aP9XVIB+w1l3tk6kF/wQlfcbcA7EA95YMzz9eNT7fxgGMkumXcOQu58DLFXuIceuK3lCwhc/ic+3tlnQy8X1FTySAuNn9h9ub3ZKtqhJimBPfBJ7XlPYL+0ZrF/uFpPBOIpDeK1fk2z3yMKxLgvOUL41DS8VZKVTgs5NhOgot2M6hwJ72WIfopgx8p88c8yGVwTqSoRp+eSyWH6CrZ+bTfQu7uVuYS0mIPdcuPJKv8yiSP7WePRyH9MwF2fOScgNrkcnqknvgeyLtQINfcmXDDPwqWxj87AS46cqjxLlaE+gt9ldH9N987Hj26ef3XEuD/XC/eSJfWBkah8KTVPcWe6dvpjvEBpJjbaSloBPSuxqA9eGMXa/7d//M5a7iXSKT6Rt4qgLOmtDHGjjM9asayGexdAR0Tlr7BrQRkYV91SFesT7odNiEZ9BDS83bpdjQz2ah79wyVSTXEu+7cmlBv6XsX42WBkVEM/DtLznMpRYQi0vsq2PAvvpV60rQ3Poky26u4wBi0uuuDfS4ayY8T6+c+Z391CtXrkmMNpLUbHBduciYjt0VeJ+b9UGfW1ZyF7Tqqb81Y2gbsa4aPwTsk19HrokWLm03Zzc/pR+Aga8eXDdVatBs2wdfJPbDe8McVD3I8Qi8F2fRH+R2rgdxqQDPqAjO1WAvtCRp7pucW7BzK8vj55pm43nVlOlDRG3AsRdVUt0yUED6ZF53HLFZuny//PGfcxDwf5KEZujqtp+f/V25wh7+GjF9UyTmQoe0bz/XcuelpcG5zWot8j44AwYf8sGtZH+/18rwvasB0eR3PehXjBqEcv+rDfv22yQPqM9KnO1qovgh4RePliWHjXnDnImmJInGLKNEXFrsm+p3eV5834/jtMqcdAf8OhQEeALReRNJ0Cy/QLf3r3vYqiZ0Ur3u+fMuE+uACWhiWKPRfDQidlr5B7ifs2q8KanGbVBLvWcQu3ObdoK0N+wfWXH24mjfrQ1L4Kx+o6Yr1lccE/Izv1KW8hvwqMxdsj+oNNP2jw8YKMAetk1sHPDXkMVgj0ImeyfzxECxR/nJxCSveOu3RF4OZbo3gBGZ285iSd/bDfkuML/EITif5XVu8xDOel/AXjfe+gp4LYSUYQbP2m4s6MjvYL9I2yZdWQ2MmQTnXLIQ+CLO0tzvnfSj8tiFK5c85zMDH2249XBOBBeBv3PPM/j+S1d2dAgeuc8c4MsPNbA7jVFrXUtzsvfKP18Kt/L2i3YqPKN75pKwT+DNjiYTaHr2fUyeszEBcS32O3fERttMfXtHRebMW9+PkXlphxLzO+nJRFWv33i88gtXLHT4tWJO9wDOXsjejE18zWSkOxZZVgAW5r5NtOrhZ1u3FVNe9M9ZfDsVkRL43SlXNIT93QJnng7lT+6BzxZZYj5Wreaaq+DfTIw4fQce7uiegbj/tWSgRXBWn7R6VzjdFuzyA2dmSAW+WtKvfFjT3JqrKW3GnF+uilunVfPYYM/Xxb72K9Tvv5ZaSdBwELuxtitOVzzGOcnypIdrrcrsQU/UFcJlCvCyGiG6LIDIJVvlj7WoOOnbsV+es0DIFB2k7tqTPcHPfUNcC4FTvupGcVZXKByy5LyrjU8rFYWHTM2PZx8sMa+kM4u8pHHmhodCfeO5r5dF5A4Sr8cekljTk+GZa7HeSrC5uqRSiyyggxvBu5XM6lfPz9n0cnmes6ipBJtKmKsPqEUyUO+tJy851lJ7Iqg37CGjVNeELXrDdN6TD43nEj3WCgIO9fPXIba5Vt0dQrVbCwKYtAJ+81OD8NcQ9s0GvN/rIKqA3bugTftuFD3mhZrskIDPecC1SnsFGw1BI8gW56qOaY11FqLH2RV45meuDOsJHuvkIOYH8t/cw7qLqXqdLR9xbk8pP1oy+UaGQ/t5zfFctvX7WfvsOxvMN/Ox76Y97IBtgN4OpMqRA4/AVyuj7A3weDgCjmQjWdQInIuED1lmFxWZQ+abV04gxIprDCx3qD+vPWidBJgmMIEJ+Rme09yKxTxaC7jmfMO7SLcSawk6AzQv+ZlhAs+XUEE2+SIr4GNSqVWw9wDbYX1NyX7OlouY4tzvm+nXseqDBe9LtDM/KjyTI2FknO3rjHYuXAq6PMVeEdvMSkecyBue9TfYoxLPxnoaHwGTjqcur4AbQ5zy8e7z545+ybydO9Ea3gbzvw+KVKAhhXQgJrnsVBD9AZqraPy012IWwGm5tqR8nuPEK/e46Q6w5BvspZAX10rH01Q4lUct6Oth7rhPXvWwbsvlADYVthL42MCcfzlMZqyjLpMx1qSGG710Ce3nA7CUoQA7BJVWH2K3piMp9955VffizhMTHfsZOymXsI5/4TtvMgJmQPpXjrQshl/Ao9gW9jdpS9bxUW6ycjurEmf2Ak6V1QI88AE6MWTJdsWd9ScXDs45DbgzO+BN35mnNWIId8FGN+yw9yH2lgR8mozAAJzXPSzEiN0xcUdDWp969l0PQXWIWcXtBLzSTMbFnvxdjXMjwKZ3zWImxGVdTl/NGF9qF0SwWN2LeCI5aFLxuP6tuIkl9kj0u7Ip5evupjTx5MGaYa6pU4jvRwvauxGM/7uPEqs6hudRGngGCffevM1tPO+ctODl7xn5CLXpXXhd0Fj9kXlz0owStAilWTI9gMdV2Jv7ddeW8zSoB8uZklHmwHpa4hUe9msLweeMR8WV85OeIdaD3r0urZuemj53WsDbjNtAbaQGO3nNz2Za0He6UO85Twqktvjpc3sd9t72QoW0R5VuMtJ5BWibdkhldar8o5gm8OOPA++X5zxmvP3sAbckaCiX7QDLNwV2OBEGcyO2QnQTe7+GMnF3NAGIcMBSHtef2VWgEeHLWQJYgqAcZgnWFwAnUuuocaapHdODjuTtEJs66zsXu/xK17gHAboG9FI29r44hZyOsjZc1tT2N3PSB+BE10qYbeY4r3hIcAfl8gfvmB5tKVZKAfICzwNMOdROt5KnP5fCwxndk5t71M+82D8Sc6civhTxusiduwe4XklFYlibN+lQytyz22Dlq2/PjfqZ2ZrKE7FqA3zDod/wjueqzwPtBCe+mTBOu0chIyq6y84BTczDT1VSXfAO6/c+QItXtLhGXKWeIOz9EBMcmoU15n4ucB60mbirX+cbk7YV/Bw8ryXv0k5/6/dfd/D1exuvZjbkM97TGYddiuR+kX23NY5kojQuH6ioSXoAXYf1Z/ta3VdgL2El5q2Cdc+HCTi7xuj6OsfeAn4Av5o/Wkfjfe57NvQ+YKYVceczINx773rKInvhxfrOnLmmEamOMWi/hXZH0YEvBIBhpAaszrlaE32KPeBx70a1nhrDNHfm1x2ibYBD5Uta6Li/w8+E+Rgy4Gfw92RsLc7yAF5RTgI42l1bWTCZEtG7oFtiPF/2AUsG3Vs8N0jbPqgbxx32vt41n+sDcKq+XchLfwGNBm1dTrNO2FfrmQ3oEexPGeX93MleBIDTRS7pB96bCK6dAgKmXLoT76e3FvuQYx93p+uAb/cGc2cdNijS7bQwb9ifNRuur77EDHEWeF/UKBBu2GtvsZ913E3wOQzw9ioiFmWIOcXa4Q4Rh2Sdmzi4Yh861ZPZkMnLPtefGmf8We3kjhnbwXVo1D6Yz85g5S/buNGoC2txdxnwOcaZVPE3cCLwy7F3wVZG2NsReygAp6BtaYvchrR5XD260YHgJGQyu2dj5xzerznoXcDD7QO4xCdVaUp9E3ApX/dfZ+EwUkP4pMP0qUY8/yGgS8hzrp3GXuAkvjHP5oeIAkeSB+3ZrnE6/LeqFu4IfAHW5frV9mAtkRTYw9xg/1VB3v/trfzJaS+GIDTKZLDDA/CoXRu7O7Nhi3lfAyGsbtppb4JsbxriQeMSDRxmj/M6udVCx7EDf/4uSj0XXnqnXCwQR1YQWxys28GZbjsve+kU0HHW50mH80dwntR7w/vb3qHwMwEgA+wRl/uD0LJW5POYmL9GUVa7HclLswW+Ryjphro3X3QETOEsbJx0A35/AL98196EPUFf/jXXjn1vnPZRDW1gAOGF7d7BLgs+Zo/WAW4+zD4VtsQeAEat79qhoSGdxj51wrETO6FKNdfKkwfgH1/A0TKpppmO4C8DcK5YvnrdA3+xNwlcqyHhX7w7hP3VPE47BZy3kqFoR7sH29oX6hewEAPfne4PEs9o5AQqvKhGWuUCNICgF+wfLyDOFN7EQDMeYJ0IxJSXL79JF3QO2B3o7rQRdsJ59blyY/A77zi4B9CNSdWzT2DED9Prv/vHr3txMgHY0cx9sEW/Y1ranFl7Z4KGHPQxBKbV0zZO9iq89cs2Uqo6mm1SiD+dn48trGkGseV8O1r5F88W1OYM3CAdWGx2HOvxivV0UHRVW3HjnvxSJ20h3tKjxd5J7VI7gZKlwR7qoeD2TS7sdb/M9ICYIzXogxB4LPyGAR+REIdlj3UsrbR17U18t9iq7sGOIPYaD3zSt1khXF2X01S7+UWV2qk9G4MfhDye3pp46+6c3ivcH74BvBBYu2fHXMqtiatFnaRbLKlbKOuBKvpSo/xk8P1tTOLcS9/2TqdrVwO7o/tCmAes2aMBjdHI6dxIGQuREh1Xl1bBfkU4G/Knh+RBAr8DbheChtS1TW90TMtKTHeIWSHErq6OTK/UdYd+KaOw2ztmgP/K3ePXJSs1VZ9reEwtsTK6Hros8zqVlTTPcLZ8TLwcePbrzIEOrM58MhfIxcVUg6YLwYfvUrh1DX5Ne7fIxQw2Znett/4S4s8lk+TExczBxistw696016UnIIsSmOI4e+07y40Ei74y+b/3X99gh64gR0+GGJoYidxYqBtgK9JVhjlPhjfznVi/LyXFPtVcvHHy0+swj4DdWyv9Ym+accJIG6GDGvmgCc+8xwAgIEXbbL4py+WrROK5/23ZqEW1v5CE5sCH/2WyohCsm/AkuT4ucY81w8u9Zd8X3/nA/b6FUGmrCPH8F30HWAsu4G+HwBjbzW3ceXQOZfp9RCFr1ozKuVEi6H7aNyJcUGIjtKhLUmmBuQMtjOCxsYLSjlcJ/AfqpJJAk+tMwkYNpBp593vuR9W9fBngX0G/4RnHcnfnbe97SD+qUS/zjfuBvxAJWwAbDlVnpZqMBvs53HcTAzsP1BC52CHfg06syrTRDpXysCfqn4d8UiDrgd8VViXQz4OUb9qygniCNhV8cs7vK/PTSx/cpa4n84FZ0HW0+0xJgXnWAds/lZ+fm+d+VT13WcO7B3r2grHBV++DjROHaxuP2zsg42U/8ebCPKwQwlrHbuO8IKTEiyn7o/+Sg9l/AC9TZibKuZdbeVOW92Dr3jTPvdlj3Mglc0eCrTTcTDkGLeBQI6tgCe5gGc+clPr1pK8GxEHtcvuEDcSnL2AfW4Bb151Ae8GfPLYy0i78GyeyVipQ4iLQ72Azw7rsy4JKIR2ydxONI+10qP2+Gjwzj7J7b8e1nWSSon1RspNYK1t1dt/++YAbkc/Z3qfRa8PPJkj0DBvog9Gs3SD2JD3NgYmGJkrLTsJ/PoK34s1WFMu9GnvW1uDRmOguVD/V47j1Zv0av5x1YD58O6faweeq2zHVz/Y75Vxp2/pAU6SNjgO2VK4KejF7q2y6bLHnp4ivTKctY59qj19A1tg3NJ95VzxrK3gG5yfwdIsmVdcpDHYxYnHlqHN4fw9wKHXfcoGNMIoxu0CfHLLYkkyEVyBD0mcc4G996g3dbmYPnK3ClQvi3yxBWBTmknjFomdcyFHMdiI8d+BceUEcaIWfnvPcS6CIoyP6WsNn/OwDwmDXSB3Gk/vItYfyOF4Qi+gP6rMDx95b2PQsBFon/eDkDhv912cYh9w22cuCZgnHxnEgBrwD7SRbmKb7j39VozhvejvLy7q8k3siZK5mD9xUEFERzx3xVpKkjxrX+L4AZ8dC5s7gP/Ax93dIZmCIrIrinNqHMNVsS448BHALhCG9HoU8w44O+hrMzH15+ccu1GBA+FCQjwBjSbvmSMWzHOAtX2jnNG9A76MehZwFvhMCP//BbH+QrEPopPi/dRFy7NTwb9TAj7ck6Jw/nHbynZSO+y1hlNRUr+RBOcLnBuMn5G1EPM/MuR2pVZ4j4J1l8UA5KMnqhg7v9mkUmMNH9619lgXCN8hTQ2+uwK2dgFuzKVY+9yCTiCmf90TAe8M6jgF1mPPBfBA8PcNxIF3wMGRle2t2KQQc0C/CMZYvP6QeMZVdl88cVUb/9MSZqAuaKMEsBu1C+hatyt4dTFjCrz8p5bTh3XyxODG1RhiX+yJOVmgEpvTmByogxjbVbAuX4VvmRjmUooeOLwEf5xu1LZBs4S3pgzfMxtWZtTgi+v0wPUqf8506WA9X/PNrw5Xc3iQ8gLrsM/H3wvY9Tvm7RbJyoE1mYVPKM41BR5IeL/eASeMcmcdUe87KGB/ihjnaVlX9eDPY7qBvdgfpeG5X82Y54vn0q94eBTXSZ3sTttuqSzBHlxh4YZx46xRH1AhZioW9gF7rZ61FJJgv8EKfP3OeL+qvTnPbA/+lG7wrBZ9mJ0qB3gQzt09tQN99YEB7jS7mWODpk9vuYqXZmS6wnvWeNJH4GCgIXBPEjFsZyWuec2BHZNpX5QhlQtmhZJzdSKKnYwCP7kVj3XQjnIpfJ1yNd3a4qfXR4V8AGz0rmNCsZuZkGHI+9QeNpo1G9gHN6WSTJvMO99Bq4kDMakoqeT+pEE73QvQj3vPHSgBfwKt2SrWAzb5EL8SzntQwz9YmWhYM7YhvC0lzjsCm42DxiEaeEPFSqzhJwn4aV0N3Q402lur0l3bX99Bh2MfJaqGmYI9HDIlc/BhAjqx4JHcZcndKYB/mIW98lLCInFtA0wE4B54KrtSS8CfAppFulS9C6sRCuwTDhoy0r4NjyJYgd+G2LeiUD2wWhsJGw4qTn3MH2AnrN91M2O7gMYzYU7w4qJCq3kLMeisCDlTYsPcfWJPRvvg1Ja506h1j9ORKjV/tgP7NOT33CT5HXj2d6W+3XZYubrvncPmHLAlzYAnHPIh2D9rm1R/aax51cNGLUm/uRs74PfpfukvENsE0NAY4uO486YrrO0M8VIU5PdSedZqr/uC5783AuJVaTqIkWmtcBa4cVRxTXLHjUxyv2FfFbCV973DXnfZMebEZtYE0mMjYCb2Lc3BLukxvurGMsTtTT6s3+s+HXOPxjkPgRPov6D9lizG+NcVwrel8Mhcn1JYv/SeEb3igADP/CPx0zv9Led0yCIy8w1Jiz7YAp4OOEcXNFhU/8sF+hTKfhw2YcS8/gL4prT4FRic57ChW8E7VQu9BUwPs9OfIBtW9ybSHJTaJYtC1MsvbiNRGxpR4dzpbSPWGYcnrJ2uzrnxqlJecTYGxMHPY7/G3ons2VPI+b4pIg+H9+/gUNK/jf97dYxTlcOnPTkgRObW2z6ML2nrdD/zYVsHcHexpRFXUfSyLvzuvY1S4E8prv3GwLtBrNorSyBm4OygoAS72ddlhee3RIj4ftz8vgBe+o3351Yksms36d8sohOY6+lY/tx/Rcdh+gv8ewBOwQ5x+qVLE+Xy9x24ZSoV3jPIN+CnituO7V0d8JIeJDcKYkm0c/UBnOXL8P5hFOg4h7n1xkTGOfuNSy/APbwClMPrLEU6OGPZuKBBDyaG9yp+rZphLdkG7CIJaFFO3wxiYNVPaTP8ugG+h1iQZZxudyjlOXP0V927h2Ms/fz0Byzi93z8/LVoMCDkBEX0U/P43WxkjjntoL9C4FP3xtEbgb2uiAj2LvBAj2BvhBn4Uw5aHwSb3DeuIRAn07q4ZoCXE8Y4wzvQzu0iF1k0Iq1NFH4Um05kp595HPNxWH8oHn5B7PnCPkw6qu5Zwg6wF5rhuZtgCx86CFMTa2B/tMDZJAaQpHuDNWLwHqtKpWPTy6H29EMO5EEXOQPW47zEDxb9nC3DGrgfVJriyMMPPL8AniZ1IlzpPH3nU0Dsbp7xD4SMIAtbQp2Dn9YKZ9dRiP+WNG56bcQ1bKMctC/wR6fzDokbFGDfuRO8zns/qh7IPea5qucdBfDLTrY29+kgLoqnPjCBa9bP12rsvALWiEZpCji5khZjeTuDr/uH0sjcJynWEOaOnPNeg64GrgU822xeeXrXTjjzvvLWe4jRqe5hnz3ncuDdGWLtR+W4ddu79Q9H87eBGONLO/6+UR/HC6RvVF0jLdNTzvWHOdlTllzf8WQvH64Qf+WBe+7pdW5z7PWdxVfVypQqgVw/jAErIcoz7EkycjI5aMfwWX8L8ue299Jd5q1uEMf83EpXlnLPHBLReDWruJo1AU8ZAbNdWQBuYN12/IMpQ3dQo7EHyW7GTfNm6C7SzT3UmDW8a+OcHcC+Q66CEXjArsYeEo4+1bwLOZo/SSfuEkcBJWFINIWum8T9ksOaZbA2gK0vOxxzcZ5bbqbKMVhjdSv89K5iegJc1DvffIEmfkhgdJWT5nWkJ+rCe7pGKexxnZg34OFF5p5vWhHkYVfewx6KTqhI4p0/+GT6Oqvs9Ih2LXFu85PraewjuZk2EPq+co+JxtN/mzE8HJJ8xdSVF2V+B1f+ZkMwg4a/aeSrnrNIMFudpDvaXwcOcQm4FNbe3g5R+rL5UDjpm/ZmCdq7BJ3+4KSLtec6mKOtE1awk/0LdhVm6qm/ALsgUsO6HwH3mQBsxtgMJKX2psoMMzO+ng+xBNxlb6w3Ffz+T18srO+B9bgyvwM9nDoNT7cM4zfgKqyRC/9lIsEYB885Guz/EjJuCh3pv5VlJehf1zxn4VjUoa6WBOv8mMA7CI79g+RLw57pGKqmN5kmHXxGCPrBDsynTPHfq0x2GJepUPnSql/AH39ftGd03s+FiQMB3FEAZxDMWZMmhjVQTBdLB/w8ADZlbmJIv3fO9cU3iI6ED9gz1gl1jpsOx0wgvnHQJ2Pb60+2SRMNWryIycYs6WbnAi5F3VjHxBXuNKrh170YbIznz3hWVtnJYc7Vr731fNjYUkn78uW3I/Y/F1fsYdKbPvbpKT1D3D+0i77ppXvbOa13TNyy8dauGEiE/lfw8F2q65uS2KOQhln8vao33Zlzq7h3fuyd+MLffwXHkxXH0+9XnM/k+zoEnXznn9cz2M10AF0AawefkV2AN4O+MlE2ph0b7VtxgtiVyIQhn4/ZSo7T/iBSN0sQ6cxbEU+WScA09DvgtVTGj0LQn/6iWa8L1pOylTZjvhSNTd9bgTkKdjHKrcyp83beuoT4Eua+mSvssS7lTgrMj5BOnbgz4Il75DI1fprWI0lb1Tq1pR5w2pEvP33aQ6bOXqNmwKN1ZsTZbYA7YsysFdbBMeyVNyhuElWGH2Bjf48n9q6HeTD9jDNFVdvnM0uuCnQgAT434n5p7JFt0wQ0cQzr8eIAPmBCbMrYf/IgkT3YYt28nGo+ENCz7tKW06dSMWCo+0WTCfn637rHHJfupiI21GX3oT+/HR6fgyOp7kXUzTunCyS3HvNW2Os3e+lKFV9vzD871Pm14qd0yZIZuf+pwAFPgCe074Kj6iaWrKea0PAQk6L2p7+U00szivtRTqP0dZR77g386y689VvjzO91BIHEEqvK/83JUgPme5JMieC7PtkMZ1+bT5x/YbYy6cojIQmsj18Vv/x6rDzhuEwv2KeU5CyR/nFwt40frnIlUwZ+lytd15a8G3+6MPzZsfupk8piOuDcSDESpTba1dEf73nncgpPO8eCRjbD8USTbGCg9QMpojA9yMk9yD/3nS+dbLgWRe8uR8zjStIDW4Ab+3apsaeHY88qdl/5NqUaQKvJ6SYFyWpOzu1InLwAzUu2rhruix7aB3Cd7bEHzcdtDu+1z3yDfc3iIs5XlNCAx5TUym5BvyLIfOQuibgDmhjnqfY/uakp3vcY0i28JwcjWHWUIcnFr9UBsKRQ9IB8g4sJa4W+gUtfjkIDFpiPomd430pgLUcjdVU7k5MlvwJV6pVMUpzzgvOWz9wPX7G3lNZsgfsux1hfssW4Ral75ljQxOGuVe62TlL3sEl32Dcod2zcYp8nSd7bftbG//NgPOWgz7GPMdVlt+G9G1cD+JHz7zzWJOviB1MGkuXD864acBP9RwRCAa6CPWWSpcKzLh+7hPWr1YEb98BpZN6/58KmTiG394rbLeDMu07IeCjDa61gO/v7LRPA37GGz93+zHhq3GzhvLMspm9ZBM/h2EGWXbkHG1KqeweZroFv6FyGlkfVsvOYfyDnwPA8EBtrabJeqTLNgUdsDcAufNaqOf25CbBTlayZFtXrvrICvIXvYg58Vww2lwJfD9o4JXnZvYF29kF7X+TIvKIEJhE/z/Rk3dtQkpRTn+2Bq44Z8BBgbYtIur0QE80X6u388w34Qr735Wu/VsekOwMfT2rHBZ/uimNi3htHwpo/c3dy4U+nDOs1YhrBGk0Qxy+y1/Q43FG3y+e5thcvbZ89QKsT2tOuwpp7L+AV7/4K0MQvOwSuhAQaeOT6zfRsVbnPunhgN2GgT6yrh6ADnevWoNuVSs941yStriDOaj1038LKQlsrWx4uFawh2PkmF25R9fOplfqL9u7r/gvvUVPg1xSvb/lwvjc21HuXvGNfA+lVC+bV7n2sEQ9JJWaJfYD44KYQxwiL2gsn+Qr2cskHQ+UAvxz9eXA3ZMce/DIhXMuf3pjcfP66MwvY7RJxTGyYJZOrN+EguH4D/bIcAPMMD3uIJfQA+1GDfmw8gmfYXbXIL8CrAjRYwOzvR7GxPTvprnBtvPdmDyLa3Gx+ZoDWQs1fmYu5/VYBJx9Fws7A80IaiQfbTF/5IBzRY50PueTDNJuBbrPE0CaJV5kKvNrrQXNN+3YD/Ol9XYt4ugkeIv/LZDJlLP6pDfwL7xvA8+5yzAVaSNUKsP/Hr5V0tKoJ4MXCQi0YaBN5KAhofkEAF1l93FjgmtvFDG5nVHcBPoK+P2qxvbdYTzLqRcb2sx3ml07JUGfsfe3uH79uEN9jYcm2HruPvZ/7Gfb9/LzmWXIGvkI+qJiU7J2gSfRQlHQEvbESwJulzRfsdY5nlHykZavWt9bvXZbMVgAfeWkiDjirxJTyTQi4fK1MQos9aCYZy88MZBj2Mi5Kds9OOKstxrnGS+WDDwM3g3e8CqnLtuyqtpQ3NU5xS8Jd3geafmIPknzee/p1pnc/yO0C+wl2E4ygBcAGtnf1/gueM/2kQ7cCfN9WxTXQG+AQJenBFy+GS+zx38n3q6uBjzDx5HlDVmYuGwhrNsap3C4BW1VVr193bY+dwx7cmnn/+HYblyQa59i4EB/xrudEYs3/BHlp3gFPABlJ1CjtFA55117qZDYEHOhSU4ZRXpJrAVYgnMqrY9uDfgk1YD6o/hfvjYXIfdCgIMpCCKN2KyD+wD4nubS+cbAmO8PeIwdDnjj2bhQFDiJwzvmh8s2uOWXObokfiutPWVrg2p0P2jYEnQIIa5ZsCF65jhD3uzGDdT6S9CKjULagE8UGNLd65gUB49KxSXSdYQ8Uh35jfkC1UHrs0xD0yf2o3FP1WL8XG5K12Mfvsf4rlTxVXnfISszJ+LkbBW2LfY7tF3BZ7E+91Tjzy3E1YGfEPJm1fZrjmRKsIQFM/DjE7CK5DHQSSOwiwgbXA366ZCV5ZDY9gT4ATSPwbiCrhjRTm9eMp6vf9FRCzAUu1zHU3kLZEOtR9o5ZHTfADUeyynxYx3HrqyFNxSaNzQgx1faXGnwv79MvwEothyApbKfxfJgPBvbG7Hd+79cqeN2NfhSlCVGXc5ypTkLAhdRXyQpn2ynQazfpuR3YzDYv5Qga4wttuOknibNVG9fqrKeOGJg0SycV5gL19p4ljgc+dG0IBVa6fuU5AGe1KXPmEeKJrtw0LEBvNb6Jc5XGlWC94t2AtQJ5qS/Gkk0jfnlcskcj04QviDFTJTz3WQtonCDkQ3pi2M8w6e4mQv3cveJhz8rpm7ogq3vcx1QY4OlymD5AY7LaM1+yTx36+Y31eRzi5U171/tzXlRsOuBNDOKkxVlMABe5sDpqSuo0fXegDsO+4A+wxRffeN6/AXJuYS/2udcNOumXgtMZbAF0KjnTx9pWY6fgXRwNuszY2GUxCStvDXaa6qKc3o+DrjKw32YxRbFJUyPAfssQ4uh6ZZafXMd/udaL+cQ5HaxYn2TJIAZkASd/FgXqBzgj3mngGVCn7Hk2iXvHHO7cn3JO5F/eg90PsZOPJkZ9b1yL90kC8AH7pkbAT15nKZF2mC/80BaCnWUUB9oDDBvxDlDbg5Q9cE6PjlN0HM6Btua/HLP7UsHKAgd0W9K7AnF1JB8t5hufGPZTqSSxJc4V4v5P7pxnMDukn07A++eDxBpgcj3a7U0X3w9asroZp7EW7AY8dnPktDwQhv3LwoMMNRPrhwKelIvru+nhj/36YJxp3Pt/7oKbkgt4X5G+tIMCXBuy3pnpMIljP8dYmwR+8Anq/gt1knEyP8c+Qn1wK2I3apxfjwp7eRFW8YVssNdfoYKZcruhMWF8Azx6PC8CZ7rJ1K/Ez6wxR8TrL7noSVsGnNi81RH91v26x1knYkPfGoAhvqEn0BJlEekdjzRwSH3jpH9Q0D1MYa5oGmu805Jk25TyeUdaqHSpPbYU3v1nfkomq1klOHOL+AJncAKXZop+gW2hVnrnn+vAoE8MuoY477Ph14K9/bCWmHou1knhbBK8D90zzDnx1jh3mcJ+x00Uvh3VTx+YzSFKHcC5A/v8NXOhQ56sIf4BN/LMhgvYW6UfbU9yqZgAnRm1PJ1zb75q0b2Zx6+HhHgEtpM9/z0Kw0Lhnfh6V5TblfGubzhv47/vKrQT34EDFEeb3mrRe9xjuxpwkA7S3Tl/VsDeIyG0OiZrT36uo0KkSSN1ppK017EFrW+/274rBWGP1iOhxH7M8cpnMfb9CbbF0L34xq4SU1xJZnl8n7ON/siUeTRL+lELmrUnOVQj3fyzsxR0dHemzzvr66SIOTHAG+DLmINxqZ4zehngslZNcv0Em4f32N45sa87xIGDv8nN1qmG661+//b0SEq6OTs5Z+lRuJ+tt/KAx77DZ45MEAXcxQEbi0VJ3wCLUsCv8HjK7zgLlAOhBbzKecQ+jc0CMeCsUvrSerrxpzvdpBX1QYcNOgW+9VaQ8Ia/Ww/srRi3AZMkBr6256WmtdP6ZjN9HLn9PEq7q8XZy6wGobLeALZORU8xtxTv3Tca+zIt5pU7l+x88jfb2L+VI4sGZ9FKcq6T3s/AA1uI+3zTOwVoNBaZuHKAUyzsnca/nCOR5Q7jukNXdbJGXQdcMiXSSVWbSLdV+q434pH5P+eHXSGlm8lONIMU1M/uDU8/85Emx2EOKEkHNcxRHaUn4PhYxxOAHXq1qwnbmKwqya0AxkT9tOfO3QVMS3bO5PH39aQHeTcbsRxPP/k2M/x7CP4eH9T6kfX2xrzrJ+b8Ht+vqYmtNQLrkUyGd3GaW8wNzqla+xzPlj162sOfm37uOcbJx7rC+yxTYi6k9BUYp7TsFef/ipjMwEVvoP/nlmuKPUmLiFy1M1ctrFERUcGIBe6i8T09nB9JI9DN7qSPEKqpv31ALL3UwL2RT4ANAf7PA1WrG8SiZ6x++Rdzwwfg6ob/u5OI+CkLGrVe8Y1Eu8ta/9n/VeLe04SAfYYVtfarcb5vcjPhfdXnMZIW/CDF92An4gA32AJH/NtG1a0S99d+fdYkfNciGPYurQ/JfcVjCc9DsK9/qEdj6TBLwDeBeXvHoZ3hLd1Wmq2MgwPbyPfCnSap0qrY9LeDuuIZXQga6Vw5emIQvFrv/rLDh3G6UHrGkX08q5j8Lbxpw70rMI2ZHJIpBN5Uam/rgC/Rqu/eAe/4kXQCYu1H7mVONqxPwMtxDrtiTkeEgCfw6WTidMydVLenn1ktaX6K/Sx2lnbJXcnJ834xS7Yuh7iTOy6TmNfsUKI9GR4iw5tEXnU5XUWi9/UYfpqSdMh96uI6tX21YD6vUdvlIFPRAP6Ddn/V0W+Yxwbxvu6r8bcL8c3NEpwz5vqFAMI1yrwF/xFeFehBx1RctXnmXWKdnYtZTZ+ogYStnAp0VWUhRm+mBfk/+MqFDd0iId79Z/PBznn2VNTyZMIKe1uq6VYncq7k2T+e6MTi6gFYFgIHAx2I9zIkyUAv5crVwL8fwDIePCFBJsH/knYlPXqBMHORpfzKe9ZhX4TXfrUeLTIitzWnI/w9FdYy5lY3tQEsHEHQL9Jpye+gGbFXlvvEwWxMbRvHzpET3ywQg2ENjlhxk7ikBeZdw1seTyEvBlbpRLzybZzcuU48sjfwswx4z9U4NjyObKWG76D2cN5ejP2+ebY53zK39YSUvFnYmTpgq0n62Swd4U7wyBYyFMk6rOBhYQ3jzA93jWu2hchfdphK/3dQl/aNJ/SjJrozYDfUubqqTD8BixY+tI/j+/rNeJOP/S1EZHM8pz6W4aeIfz1tIfeCVcOpJ8fuXPSkBH0y/x9T17bdqK5sf4mLyYgfm3AzNnIjdAG9AfJoDAITx/GFrz9VznL2edhj7e52YluUas4pVc2C7A7rlKJv/+88xDYhp2oxl3qozg2e/48a8kwXAtfCOUpAAmFvjfxK8Jyt7GLIRw8dXz5B6bg81CnOv8mnzn1yDAfWHe+RQiroTy1dBRz9tYbX1vn3yFjU11KHYoDnuwAXxZqKONq3vHV2iwGSo6qGRcDdorefvDK/8Qik+ORXgD9H0AczaESIjXf0WcY1DHIh8E5FAJd+9bZ7BTblAg/N5crLIXdJQcuCdQuzsLciGoBDfWa9KGDfrghPVxUfzsDRJ+AuhezV6Vn3l5gV3m3vxfCoA3/kqB8hXnhPr1qcXt/rQyXAEUQE/LfD2rQavnPeRrCmS7QiA+JT9FmUJiVG7PnUoT+RjZ+bWukJNAaHPIl1wNgn+la/6qWSuYBc8PEfHr56YVZViRzV2KATsnxob8C5Bqw3AJy55pZxatAIGd6zPnuG26UVPiEW4JOgoeDohTSsiNuBBm8fdQz7nBMDnHvgpTi1zmwDxxC/fAOwbbtEX1k5SwCb7BD4zxrCAmJXPy4O6/1QL7QHzoznxqpODOgeeOvFbFSk9vs4UjqkfzlooBxrBh+XrgLs4ov/UUS6bOVvXQrOfbdkqYBsK7uRONfr9iDj16qBAKnj+cQGSDwW3ajA/M2sdZ+V5m/BVEbjKDqE80gtj1BHRznXRcbvEDt6xDmqORfPfgcFEfffe33iPSH2DuTFJa8GW+mkejSRuAN3Urnp5sPU5cDNHlVJz8AJDWi7rmZ03trpHXB4Azwvb6S3a8f3FbM0nusHsC6hcpVQHPQsG26//HDy9wW/7NnU7ZpF3XWPPp6Q14IuyabQhc/7DZg+5XxNICa2kPeMTihToDGBZ8G+F3nOycRY+k3jS5Axf1/x+4J9p43Q3zIkr1qsJ7dUk1K163eA94kGfOKjAO6FXh4QR72/gThzgTft5cd6tS/er2TJrk/fquPXlQTCb9wW700v2tC3JogM7I0M9tvYuJHT/M/L9JhxA9iwcmBfBi1o4gLwpQau2Sz5VS//IAdEGMcJ69FHaf0mHusEvVREWS2Zc1/YIpJm1FcQAVbBUvStj2GfxsUAsTJRF7TMqzYV771lVsJ+FlG2dbCjqLXYaBi39EQjYjPb2Hj+K9HHG+TpAcCfsj94fjZq2YHu0mikDbxEXdRxfTzwi48erTQBnTkJyMW/5/MufVyGwk2LatTw+dKhGY3VwBpp7nXF5MODjBY5WBbWqxZ9dQPtdjmUavWsf3MErEFH6KQ/mmWzVHJtA6cp9EgvoO0f1O6QA754lMtiDfiHvAjW3YFPZwvQkHfB8dzR2dj5QvmzJyNIo9pslkyqNzn5P3d/8fob9uCtMi3wDmtFxyjQth9r0FfVCNo+qlwSRa/3AuzkN22HVsYIzqwGXSxAD5MMZ2EKqUc1iU9udXfN50oFRAiH1mzsVrAO09YyPOOZK2KvKBKKdaQlj7mbYW22qy9bJ83rsnudA3y0kEEoniUnOkcPc9C0ft5nK+Clwz7pYE93342D93rkr4htYBo+rDclzKIe5NVzbolZleJMuVEi7nLQsxBZKfpmDIcJOLGJXvqrbKKNSzjW7RofvWL3vLo1owfYn92YHM7aKNpib0hAfC3MsV70SFh7JlN1JVHnwTMATvGq9Q4XrEFTHDivs77XvJNNaF6cTUGcTsIY0HYQP85laCIKUZJ6ahicwgUNxO8h1rozLow0+rOaIvSrdFXoXWt5qTOuFtCCQTOcLOA/sH7/rgxd2hfSb910VYfr172eX8SzvXus8yzJVjjXLOf/HtSFbAp5j4ruXpTRCd77E54bVW4387C1iuDPOR9B07rwFUADFSVwkUWvtI19Jei548mMd3gX1+/DyytHia1j3ZpFP4DLf2WL+eLxyuOGqkM8A8fwLsD/Z4i1lS5nW0gb1kbdalchRn/SydQ74Fw7998Vfj98zihneMf5vO8kRsq5wD6c/94LvZc/VJlWtEyjg/C/QZezQt4WAXG953fsJx/5FLFDKWoOePbsS5D6g5eqEHiOYkV7XepK/vje4/kxeuzx1lI2C/SZm+7lexCKUX8zN/dA57tFj/XQNsShOUE+3+ZW9wn8wActHddO9Jw5nFn0DHgRwn74SwNzbCQ5P2sqn/VtsG5lakE+32WRfsuLd0+EL1/HS4IeGKi9G1jn3eN92QE+Qq6xIAd9gw6A/KtEFpCLkJmTQbxQ4DvC/LE0eiU4X2d9XAOX1ZArOuCMtKjt51l9oYbqUSzVnZTdKzZu8O/lsw/+ZzbBFwUVsbMUFX0aSqbQU5sUMqKwjv1uGezG8a6y//Mgx8sbBb7BkgjrHfnWju6NnSLXexQl3elEHXOeTkX/e+/g47zV2qRREXcWdYBbLh2EIzk/97cN+99KmYqrK2jLTxmYqXbm8VljJlKc++0Xzu0BbOTKhb+pGNnid4I1yYBH4czdBP0DXrUikC98LCCuE5Jul3+reojmLJwnLdepSk6rBrh8MXbAvzc3WTzv8/Es0mNy3mtmaraYx9ZZj+ivq/i9OCQa9/WuZptH0ZM3EZHXmfmb4qT/6U9QKxlejvizhbx/ZMDX85J4eHYtQmulx9UV++/2vMubkkO+Rx4sVkWwcUG3h3pYS/Z49yDPf+L+BIyvBIQZcflLw37pQb+J6bToJLsDn/9Q7nyFvIP81OIM++/0hpkoqB3RsQVxG/3IK0cbUVVW6meDd6Kx6lu8L1hMXZQb2OfmlPX0CPL5W/+v/hD0I54nrU8C1nDPWlcGAnLr6gq8/VRE6VWY1KlHNeZuSiseuu30x6t6uiomcWtiuwBuhri94UPXgSbfc54Bxhgnk9FVxpkLr33dp9xbfveYSwtSRl7LM6xlGbAPlPQpaNuoaG2DvdAEuLAvgDtC4BjtpKhFj7CPTnKYj8AZPCVmX4TRLI5YS5Z+A/bnhzC8Vs7v3U3KQVNmEy3ZOE9ACFZ1kHtbJyIVo0edhHYuAd8n/pAjYqPAXiXY34IB3/8kfesphv0LylYS9mEB+jwZnCYmnRQdRY9fVqpXnR756eW7hJJ36Cf3Adxz5P3GylBjLtjHR7EH/fajecxfMph7M3R/ZXk6V65etTy9Ucd2szE880kMW2t9y12cJyWwfvAIe/51T5Tqcd0BrtR69NCnnQBXttsROXa6KRLltIzAfhJ5FnYZ6f/YoPGsJp4fvB/OvJwD+PkAPr/PFj+G9bpl5carg+zRFpdJ2KnTTr99iFuakEpgzU8snGxcf7TRvHn2qgNmAoe7IoYVga9yBtwumnkWkVPj6i4XaoMzQ3Bfc+R9otuDrsAezS/gtZGK6EYsvp0XXy8eZVVMOcxBfkf3aiIGYq6AGMDYglQLTPPp00uDbLgf8T5LjanDQyXy4Z/H+LpSkvZPHuXqEl4Djzz6AswNmKRRZl06Gf72BVyzWBDN9JJZosgS+nh6WNupC7qIbJ2vhRiKNTZO4/67A1YvLeueJc3PHNaj70i4Itbd4MwFseBcdH+VDfZZ9RpWX0Me+NUppAjT5b8aWsBbBfp14+GfQZfedgs1eyZsPKfL4rUt5Rr7Qgc8K2DATfHOkcV4jkcD7uoHYPPpEF6KfUxN/Vi7Wa9siI+Xr+MIvPGJAVT4b4yTEvK02wixUm6qZEA2jVFDffxyIff/bWJxbHp4FrY/VK4fMAdyoStyapMdd6gjp3SD9ccNv93ZcHcAhTzIMK/c+6x7zWS+1CPwgEGpZuwuhYP9YhHk2dCWob3bOtr9yfsiOxia5qDlYT9/VlbogZ6e68l8qSh6+n1uLfIJfHTLYxtrH1cqIS8vuG/QwYkCvdYAV2gs0I5W5mrr/fbse2Ka1y76eHlRZUWbWoZLFpp568xVGwLz4OmeDjZwBq8HnemooRsKG7Qlv/SQC1c/d0r/XjUVURNfcF6N28iL23CbcKlPjfVltyyNW7vjB8A3Oqkc0MBhS+fg2Xw7dRvAT+AxHaOCkK2rE4jV5AAchbubWxt2RI+GE+FjTnx5OkXwOmfr/rlmHxcmju82cy5vmlN4vmtSLeRH94NOKZh+K5LQ1cARqZt+FnH6qJxL2vJ5ZP/14OVuZIvB83lgxpZFeL51Y7H939nX1wq0eiZjEmvm90RGf/eJ+ShKsyPmD9Y50AyQWrJ2xezuTY0E75WSRv6ckdfl/E0Nv4Hu90XZMRKGN2bIZ2bEN410Vssuqsyv1+KnPK49Uvqw5sqhg1i1prsDz7w3S7oHPZs/vaIe64GMF1XZ2jRT6FRl1zFuDySc/WJqH9jTrUaRAWb4ErQyjcJVMXSrnIdO3v97cdFV26dDzdKMMZ9v0U+Jr/0aOBnkc8w3M+SUmPTVCvTqAr8G+wJd7QonXza2Ar5bWZcacm5wiFMJ+8DHeVeZQ4+AE+M+8rFH+xUbNzmkbOvYFujskxou10MoAGv/3flYXbOpurEBXj2Qn/uzATQUaEkebKwce7z7zV05g8WGy1ANM8ncWTZRF+GMUs0N1pm5meu/vPvuwGqvma3PkHOtwyhurVx/V317qx+X02Gis7Kru+7JRi/mfhjSKIvnnAVdp4DfFM8eDxISW6XEyq+t26IPcqnGtdnapFTAj8hSvXxgFnje7iG+hPkYXbg01zqmOeP3B+zHXMb3KxvvmZz4SgAPyR39mbF/qwwwUljd3I7wmewZcDzKYJ9T+JkTC0R5CJTJsPcSu7uD6HVPVB5C+0fnD5pS/BkJ3HNKQzynrLi5NfLubh9f1sFEZ+AyE+OhnYEkzEKvbkPALbeFfOq5oH9Oyk4LJsS1GKKwiYyHPLSZst/5RMDhH5hbRZxeQLs7oDvOoE0DPHuCnOqJXs/EIhuCfW8icnUgtnjvoLGWGYCPuMDBlsouGMW5gbDfLhVxMpf22aN2UtBcr5qlL0/HaVjEq2Wf6FsT+IuKN94+mSPIhynkM1X03Zab4cE+LgUfwisr557H/9BT4BkvdKFvoBc47BPsl6g49/ws6ELYtz/nK+HqFYe1tiO/+bhcCqYSnYhP4H8UMPq+dcyeMIGekEnOuytzIyO4HrLI/C0mklKbL21inmdyFfdO+uPyF3TNCHyjbhZ/3C0++nrYddC98vzCrNzhSRfxce5JYAzg1qpmeuBxWmW2ySon3ehed6DdiqanRHK+wlhQISRLpj+byZwawT1aioss6c/eKBXsu8HKTfe8t3hhJeAwaRi81sptwsL7Af1SXB1rp9vqUKR68iVl3aeS9nSIdV0k8JkGxNf/6jUm0ANx5uWTcDN+d/HeD713ssc6ayWgOuitF1Zu3fkGPBrjwBHRsEgxoy87rcvus5YEnrkGbXP/aActsB5wH3rTD88lHuQGAIbwTkPTk56OwFd87dAwh/cD7HFzKUw1iFeeN9vHZXjevUhxr40PWsI+gvaGf4s+WBRepfFzhb6wP7UkczYSQsIoV473oacc4hJyOle5suG79GSn0EfS+EVWfK32xdcN6yZeayhBVh6MchojZrWYiSzkkiUnV9vzckgE7MpZ1NMcAgZsOeSSHPRUXp7uONODgpZg4XDNiwuTpe8xgXepfoZ9AgV2d4YCedArz1t4J6pDnH9iar4QqqdskRPJ1YizKKNPsviQO+gH1knnYnNTvAIe2oV8msd6FBLwb9OgR8f051wsfzzu3H/4S1nd88lHT5QX731g/cKepX9ZSTIlRV64dNYhCWohGP0fDvvS/Lnuk+6qgZ3XPc1rRi7UEmTP6U3L6LO102fN7h7yTGXZWTPaId6z7bn4PUvBOjIybK7bRUs1rDds0XZumY969G4QW3vQsFFuRP88KwZ9BXGyZG73nZX6yBzPzp2050F7zUrxlsX8TAJSP19bdm855F3W//o6zlvXfHH25wbYM0qh7rCiMZ/+vbQCAR0TFEFEKJ6NuWIETnPMF1jjuDrv4+irHXHmlaDAJQUJqct6+L4cFLTUG5ypzkbyOmdz8HvCWoSZdf8L/+WH6I9VsD9nNUEuDoEzTGkMv6dvrfWu7jfXPewBEXUceE9dB3onIM5rnHEIuRA+X1WPc0wY6Q6xZ5NFz0r+1h4428f6IgN13tq+rYGbkJhGeAfLma94TGacDZmF1p0lYsy4+j5MqtyH84lGz3OMAfLVauvS57kBGyqPxJ0HGlwViyY794/dOOv4xaNkENWqp1zKWRYGtBnwhFquzplFqqJYbwuL7vbxXJNR3FvQOvA0F+HqMcO62IgObfHlAA/3aNi5T26OdYTuLHLh/4W9Ytryt1c65UH6iV5Pu0VP4nlnS74PJhX4mWmpXM1E1AJq1OHagv10buD1GfZEoX6yNisGPLB2qQvctX/6bsDPVcP7Wbvk2Dr8fpjE6oXLhTOjJg3J8O4RLnAGXUFlfms43r/RqjXtFV5TUEtnEKO32t1cd5anGjd3VBndDnw9wzNYbR3asWI91PF8hT2bUwe48LDOGtArr7yRcXolw/zdLNoooW+Za5LMcMCSOav5u1cPwgeuFO4Z4fvoz7ka/52Jm+6Bx5A91mlZ+g1iNGgsckWeiLyaBVG3c6NKfqzderBe+KUOozccYlBJSXYjj3Wu+LoQsXciI+RUa52C7p9BuxTwe88i8a/KqO9svP99nmPzwSlYe26AgzPQXYcjaAWmqr30ji0XpyKmq53z7xWHBF0+sF8rh9eq3vBs3FxZaMcVf78ehosne2H2SRo1jqKU4x3P+w20XEnt5x3hWTBTbN32RmPz0JF6w++15/OOyS97z7A/WP+vHmBBL2D/O4tp2ViRwf6AhpENAxTfl7g/9Me+FFdgxe7WqdxDQKu96AhovexQku0PNqbXerhcaLg6c+xX4CJhXEeVwGqW+cU33O1i/oKW+aTh5QQ5KC6S9KElPepQO1iXlOE8EG6nz76B3lj5GC75oj9V2E10aldtYLKdS0Gr3ukz3p1/gCPqzkVuC9jVEPOve6JPPaUfus8W+Nktd5Q5cNRX6xX87IWF89fuAdpFqh3o/M0ee3wcbimc6Qi5sn1cvK1lk//6WXCvf0jQ6aCrgHulsxjnCDjIq4Zzl4EGaMZ1jPyuFTPw9y6DOOj3UYqzIR984k7Wdz23Osh967+ViFbsePmr+vAKmONC/q12C/lSpc8pYhtT51Ze/u6L9Rn0Vbdn0auucgvRf80fa3ZgA8RIFBXW2rTO3aMYZx9fdh1FCrQLawN1r607+q+5ZIzedo63KJY7+UAKEqMX4ebcgvKjEnJcoAXwXwtyDdZPfb56l+DvH5Uwl2cMY4+ws57bhYaZoz4PHxfeWP+8gxlW1Fk9fnpUbg7kMEfz9QCxe6HRZili+ywnMUjslYAM1jwuvbLDsx4Ac3j7yhvnTHA7g63XwvPEOT7a0QR1TwsYBXj5AThxgzj7rCAmREI+Ck4XGZ9WVHo2+oPRvnqoEGtnZ1eXEexpbbDOpJWrm46Vfxh+z/T+st6IvRycRqhKsC4G1ZGSIXfrRX/tk9BrHfEFHGOrsS5vSLua+T9nrOXJqqP0DNpihXerB9A5fLBtwKgburuyKbyJwO918uvrWDPJPT7SoyrW38wZ4N+7SclLRmOsixIPEvgrAlw1F7mlnO55Rw57dKV7uoXX5STkK/2sFZ9zNaQJYN3xADjNGDluQdc0iRa/ed46OftYdZUx+8LKzpW0rpDHgOtRnI91yS1701r3czve4L24lU2Qg4LwnoVkoQlVeokc9Lt+Pu+E38iz9j91QdfCn7uRLb9e3G8s7oYmihaBV2wsXIBL163B827NgXUN2RgFQoAetjyauz938MBbUtBX6Hv89vRLPl44WbovytXIGQXuGrpAu92c/QNMm1/nvafGVUcpaM+HzmnjqCJD5gJ258QR2FdttFw9VKDj3KbfOqb3oh/syp4TzSMDMWgTo0DlDg77eMfnk7KYHvlw/yAO+lzrBGLltZd7yOMT3isCpkXseS61uYkl4hAPaPGzL6ReAbefKNbvOAa9Db+03Z1gfeJ6Oj1grTe4frCHt/rpsSDuvIeVwFq7IN2T4fder4LdlxcjsNA+u8I3SgSsFYWP3kR/rjtndd25swN5N9eluah4TmXg/0VPnSI2n7DfV3o0KXX9pz+YKMmKitAjsNcOxbtNx8tfeBKv9yLcFgVoKivrlScieOagsfa8srG35sC0pRL1ya3wlsv8rJJhBfynqnnoHPrM0q55MFeNDM8mTfTQPeDZonGu98Sf/dCbq+K/NWao49GjEO+yt3K8zzQJz6QUd8jJ2G+OtezmMHUb3oce8PuRJP+Qy3wLB9IYj7Dm7EodQhuHbHTo7fdi7tAD85DMR5aQXNuvWqxLDFpp2jnmkwxiwjOX2pAulwr0wLoA/RsJef/IZbcCLtLJMf3YOhdY80tHIhD11uBQuzs2JsrJmHl16b9p4Kug3zYc41BmqEpf2rxGf59m6tC/STDL/jzwfy7v1ekQbID7Ws9Z1QX7twKsYc/+u3EtgeNfG8dLiqVduHWJnnkSSDNxUp5xsm+BT4rBKG7Ep3B/778qAvyZDzdvH7+j98BexXpsGXeF3T7IYsKtnaaHnp+xDj03lSXcdmnKdEHtruB7tVNqN+P7Q0n62Qj9mcXpSzv+3MfI+XUXkAKWuoeE+FJ+rSSfhxx9y4rLd2ZHY8VPjwb0mXCNquX6a2vrsYn8B3FIRcLZBY3SHQKzU8WFt6PZHGI7q0fQfSHW+pk9L94fh2L9qscGjTXHOmjdVlCrtYwB/Nn/1yPy0UTphxR63/K1RYzORTisDkm3UuG/W5O0t0rec9C1E+QRH/jOqQhM3wrdA486ZVF7Bu64rcbfO6lj0xuCNd5c+LOWZgv5WoLW7IHHbiGWCAOO20pzhb2dZmH3N3fez4CbvjboK619nhDZWKH3vEsdu1BHJ6uZxAy5btfGlLcTeXE2g/MLCuk92gjrndZb0ut9tmzOxCawz9ag8e9zsfxbGqxTscyMd3Li+HXdLWnJbQL7GXJl9Af4yc89vZ4iArx7KqzKBX54bBz60g6fh2nOlFPdsD4mi6IRMAX23NdSJ8BeBNb3en01pntRmn0WgfZxNldh+6Ry+Z0MRihr7TNDt7D+C5kGl8L3JaHgsLcqHc9EwBN61SztbLNCD2G14Oz2eQJOTnfOeldwu6wmZUnWLgp9V3l7FcLfaVv1xbPXVji0uCyH+N/1IC9ObvyLWMwIvPaW88ubNKpsHu+OPv7WA1SAFf7WWdnAu1L00sPzAmKnn/L4vghuOIW4YtNM6eRne9gL7Uj//hc7GRM01TwleqCApCZiS5dzfvczC/iSMUH2nH1EXv2VDxJ7w85W884VwI3g91seYOsf0G6gtUf0NB88bfD/XyoO63XAXgMefXLpjWxYn7RbXVWYLs8aXRM5EnvCWOWx3ncP42UPOP46BzjBnpOKe7Bu3V6PniVMaO/ju7ezB3iG3Csi/40O1JLHi6uH9V/t0qVx3ldbwPMGax/sjddgvRNTcc4B152vB4vn+FACpgz2VSbmtYb/9Zt0RYE3Vty2sZelKoelcLHGVPTcmYGH4l25OmauSprQDFnxfi564MLM/4vrVInqTnshgfMyOrxbLSB6Bnm6iDWtl+7Vs7+reeZsF/LN+m51MLqE/StzE0m+VKssPLksGu4UktghjDa5A/lrUFibzUA/Xmv5dYb9+SC2OAvrbrGQeiqI/orEEFC6QwPPEPnc7zl2mdpyIp/tkl6oFN8NX7kk7KyCZ49D2NqA1W+ZwTkp9hsxYoWeQVin3JZqRUvzyUErAgcG/e5Vxeh9FfKSQgzfqzF67reW31/35h+UP3O0AxhpEaZx5kxyEJpi71cuKOOTkMC9glzCZ2ViBXnyi4p/d9FrUnG9gvjhdZzemczvRaw2zXCv+cc76HtxaUPsD/y9k7Ia5n88/Vexh07qiQbodBkFNb+dc/NnKTiwyVJE9eD5NCH3phR/d+4J51p4+0id+agY7AGq0d94IZSGKilwdskggEepT5ao+pU3KgHaTIq3Il7ZRZ8GmXXzKN5Txili2swiUqleG23/sQ7D7VFP1G8jWEMmFmL/W7Hw0j31HlMbxvkCsblkxcWqA+0A3yC13b3y4ZAxc8I5N4fBwn6ynsE6gW7qsc+GDqZDjC8WI0VCxz2jTJTiBJrxKAMCOTwqBBNHHXHAi3XZiD83zfR3Jij2x+7rBP0DvFccfsqps5k9d40RwF9x5kv0lw3plUJezB3VaSu0iFybw1jddUixjrTAPg147jEJlMsdjXUtgsbW4zDx8xZ4bsPX45P7WtFDWd1rL5+VFOcWOEq9DFfYwx98wnOl0KqHGXKsgPhvga1+3SBffwqeXgn67fx4jwyZ7ICLzB+S6VwOBvh69NPbPmZ3Xnx5WRBBXP7mDY/ZeJdmAljvAPBr1TAlWvi06E1Qm/RvEehAjuEDuFHP3M7jET2z4aIAFzZZSGnem6iV2M8RXWkf3bRjX4jxIV+loM9tP59+z8yLIg5d4MrXLKlWqgQ8tAx6rJ4gfhXokX01fN11EsE6zp8HM8P3aT3F7w49XmK2pG9bdzjTBfubYe8sOOsqMspwmy96B/Hzl/PfWbRz3osA+P0EOm3H3RB9VuwmOQGfVh9tcSmAZ+2qofvSERXP/B7BnktA/6BnfKkv+4DQrbV6sMmHWJ7xeRfKIctBdF+Nvbnx8fccAPK3lpDnljqMPvJJZcK5x2IUbuaG8H1SJVh+qxjEshN5hRCCwj7F+TRYA3OQ5KhsiBebnqVIP7JYBJz9w9qkeh/4GeRQ1HLl7xq6A/qDnwHnOuXOnTCb+9bauG0UlQK0AEu6r6fnHeiBdkixFhY+uypgz4o9zt8Y5xjP3CBHXrA/n9qgqxzTZzzKc9YBfyevnuKoGuzsWfsxAv4f3919SNQB6+8G84zZOsS7npNVOPPz/gL7RA+lj+cNl/wBfMQKHxBPew3Zhk4U+A/ot8R8AGdxIc/+f6zE+ljYy8JXA3p6/nuwAN58ar1DGZ7bsvVq63bLOORTZ51pET7IqD84t9/+q8l9AMZzUs5RLklK4y5VXH0SnENrpzVqXuyrfvUT1clpIYE5Zxbdwf6gSkTpf/UbDinVN/D3MOfpIxOkI6F13j7gOzuXPWhVDDlLTdG1EvMKa+BxVpIMwwW0KqLhNrfWs7ayl5cprH3mqYh4vAd8hnwE8XHMxD/gyein/VOjjsMSG9mNmfWcB6AK9B1J/i2H4uKycN5hje3WSbsm8CceE8MEcPv/fKSlefnAXOLazm+5IdsW+BDkuw/Gc6vhlwT7Llt+6Q+MWtr4GfDI8z4hRS74rbHapQJtACh0w/lqEjQ/RzfnKV9AG8ZFQC5kBD6Evb/L74x4Vz/WC+NpXYzDlYdrGzAp2drzDCr7ljkU4lBVkO+5skPIU+YKXHYvcX6PoFsZiFu2kCiL34H32ZkKyNshSafWNtVeiEJATKqye9XAfMLemxpHo2fAMftYE9D+leg7wFus6UX9/7VqB/LjV7coDxQVcKM1YutMubBzd95k8dcqZ6nMgMdzOZ/ZFG3bUN+VGy112b10ypcWXb5zaAdcJVGh7Vc2UJwRMJirv2zM8b5e5pP4akcd47ka5FoHcPLUJt0I+A+46df5gLNK9b4JQL9Of24y8i8NYF3+7IfN3VftAYk398aOEqyHJEnkEWu2aZ92ufDHQrZ2CzmsWDpVyPUKOGOA57/A0XrQXXVl+4OaTh5zAGvLPzbo24fs02zrrCUxEa+szCqG7vG6h+XTn4UtBD3Bsb9h07pRSp10IIsaMluNSlpnOdoTzsFQP14wz/tIJk53vNMEnIP3N280rq7VKFQxAh9Z/lzFREMaA28Wr3mjX/cM1k1bWsjh5jz94kuC/Sn8EMKel5WLtX31YCf1mA5adoMO/tj58ZJAjIbZ1CW5EV32nLtI/NYK7wXW2ZftwkqQ2obmlJHXWeVut/gBw/ppR+/pJFztiEUihwY9Alry2gTdJ/DqL4hf4Oqpn7ukUPa81CNozRhSItcEfQNz9FbmWGs3f+bH9eN5xjREBvDxdSf1cUDNxr2E9+jJEik9bRbI8ecmCm9ZoATOhgW+wqUgT0zBO8EmohcaCp9FrQNxWWVxd9zDa5l1L6sBcJwbwJLLoHl0a+Tlt56tdea3Iuy+0Zs/f/J30R2Qtwr9yAKDPsfXRuoatUA+AJeLaZ0vabKPzZYII3Ne3TIWTbDmE+zrfmenBXr/7iVJ4IteK2f96rvBHrVJj+YIOq9QcgV7z9/o3g/VuHLriZxVjx4D7YpKvaVWuILcJen4PK+9yASeoYhy9DMQ/HTTIbnt3A3oFq9qY+8DovhWTNHL7+tcHd+vh+O7kznVtXFVTpw15HH1tzL0BHk3AN25Bb2e4Aw32FsDnhnspTllw8rDk37YA7vmOQPgeSa0CDOfdalBiCngA+HSBPx1HsWLMvSwbgD4ml8DJ4JnthxYF7QD8J5AXepw82hicW9xBpczuyTG2TjPfEhh/37nU+bVk0EfvakdQsALcawjM0POuDeL/6Ws39nB3dMbx/FuteNdSSkUnhnBPraxBhly2v5QAhdk6XcxdbwR3aTs6BtiMspLk9NAyZoPq7ZXf4GnxKRPywNwJ5FsHizCWTc62LPMe62hGMMzcURdR75gsCVYSa12zG86MZ9FbLPajja19W6r43qkrl9BHh95IDgtlaoB7/ayS5kZHodAACJ0T21SoS+qEBMPcUbdr9/yo2V+dCgN7AfqKElBM6SRtswXaD+JdeQUOFNt64oAA9qzCGsRar78Ox8SPJ/Jb5mhn4dAD7VjHiKkdsO6qoKn3yTRN/JxHc6vWZm3DJBVjptVPum4se791jWDBt2mR+uKvvPEnQlhigvxfD5+EfjAsy+RGtcPXqYCOZoc1Ldw56KxvIU5oQXxLmpGV6C3cj1ErzzPsyi/1S5/cNTWTgd7DHuR1iwznQHu+9UI7WalOjaQbxTLlkOkvuvpdKvHrqvhexRWds1tgO5wwFlrfgHvn3PvQ/XADePTAvviVevoqLLyeGy7sPYxi9Nt8QA9I55nMMDRV6vGwNO0VSXQUxMnY7jquxmje2GJADh0ztzQwdpUIVJFl85jXEnmoK+xuOIZLerT13mU4rrnTNRNHCUElHsd0WvzPDOPVtizwAYCjE5RnGel0W/UMb6eoqiWsJ1xpq7Ufm2rPXx3rEFO/l+t/wZydlg7v/dEX0VoZA1rjH28LDpZ2fJndYjpQ2GeH8QHsxXkYfPkVbrEs8L0bxtH1yxonSLpsJ/Zb2O9gL7d1I/LN03g++OcHPxf8X7WcvOqxTpDzqlg7SPtdhPwkYENuO7RuA9B1zmmgjwiDmX+YCZVtdsNOQc+BYqxWbqtjNdOLcN7G6hC9TQBDfTqE7YOgrhFQu2W/c4orKpxXYIWBazGXNPt5Ihzu/7zpO7FVzOsvwvZxXuhxnzBe4cUcPH9pvrM1ZC3AJ84DdGv4k5ap9s2to+eUB8E679DM+GcnFfNLTteCGhOynC+sjN/NRGZW8Ba9ALlSXYnUXjeCx/vd05N4u+3lg14mKLnvRB96gAu72onfxRSFznPrGYQGeQ81M9bFQqh7V8PkxHr/Guuz01fWY0UyyE2bzl84izMrmJY3bSr33S4WdWDR3Pb/EX/ExkOK+xnZ7Y5NlG6hTyyhRg+QSypdvLPRdBaDehwZUTOjHn1FP+sL85LjsQjd81ja2WPTJoQZ182rulqO73A+xPQHJCH8v/O2XLvMNidHL68ypC3bFE7wkglS0LRP4UDxrTA3WHP1u3j/XVvbml5j6n0PgGzjrKkUwF4+/TyCNeScuoWIzHE7RSdTqDt1AZjGvQmlyEdlVBeBdw67/F2lmKtxlijr760P4TV4V2621rp6+7GJg55qx3gm/LJH/A8C6dpYB/9rph84NzpZzba3hbraYYIZw1gLzywV3+opnTgY+4oJrzGIo9mpD4PYY16NeDACc1IDrn190wPfjZuTQWYwpd9gOcZEINMlz/3/ebYJkKqZ6+tSXXguzwA/EBvSmCTWW8CbUUC5yNVzrDw57wwMWsmvttiTWse3psyd16crTX/3AJr7Yf2gT4vT4/wmBIS3r8PJltl43xUcXfK2B9rD7HNQNeJwHwUrpZS5thDjvUhCSgo0PjktI/bFXpMAMdzd9bzjN3/H1YCb7bmSXGbAs9aKVcDX8e5o/6dy0vaTOmJD92PxxMXCR0EvNQ4bfLnquG5QH4qMgtnYtGI2aHbAs8HrtHlxp8gJ/sK8tALUw5hV0jJ0RsY7xdzrHtUyTwyC8gYCCHQipDT/vO8AL3DOHxXiwrgWXjrWat4hT6SZ+AWwOPpDTUq8PEU55flffQGev11DjDTQOSwXjZo9id+iPiyKZL5A8+NtDT3uvQXHUT2c67ZMH/QCOtYDKA/9rXpR1M+Pa0hH1LkdN+wR13gC9cc/VlGA2zRf/GNGHJ69rynC1L0BTkXMj8LKwXyecfZm0+v9CxcB3ziZ+bcRw06o5HEyUZ6riYzAYeM9lxvM/bPacPuWV8PWiMATYSznAADxOt+2afx/E3C21JE84MNm0fmvK90wm9t2X1zvt5AjvWBoxCGNZsT8F7YAwI0jQzJAjrgziTWo9I4d9ZDVna1iCLUEuMOa05/Yvl3TlYlIqxBx3mpb9lkcAbNvg30jtjzCQh13QLnBI0w0fjm1oufk0ClZIgWJnFu2fBojRngeVX7JK2APweNq/EcKC8GRWRpKuyb+O2Tgvyjxu4Iv9sFAKsqSS+1vP9Vwb8rfKYJ+JgveljbxOSs7y65+AP5O/TaUTyUbZ6z5PjgbZm8fNRx+MjtP2du6zlb/B1g9tM/7FXnsFsQT7GHijvFAM88Ai5arBXgwh4xgWMN0sf7uS7NpIfL8vTK5veFOpoohrmXxFpAXDo6qBaFPreEhuEtL6Op5R76Jrw4G+TWDjj4nKoQcLMU/n9+dQXlA/Dl6I3K9RsPDWQ84CCWN+1LmgEu2rVLRzLaHXowiAieW0xWzQCacRnQN/QuB26JGHstfmfe3TkHLgu4fYj0N3dz0ML+FbQ39rFvGmudthNx6xJ09xglxUQvCmfx2CdLY42XBTx2uF8rwPS8FIGKgV+V8+fOuSR1TEY5pI9D6L0424k+1kfgqG+8pHMG+7QI6WZnzdiL4B3MH6vq/1wPZbpqQjMDv69VQsZcpv5z/upTn5APFbV3il4Sz7rp9/Me8hjOXa4leij8z5ulkIQVTGN/OKGOt4jxtvARz9JIvnVsvMPfcdCrhRtC7vvPiygRdm7QgwuWxcyxQn/vheK5C3p41M9+CWDM2XDHM4eXdwQhsYLPSPHcWuGZgpTihPOuify3gOZRcowukvmWMMDbrBC4YrTD7wP6Avb55oYcjsBjI0uUb63u2NhpXAGPIwE5Mi58Ef72jQ75SJ51zoDBKxbpW2P/u/LQukIck8xKHzhjFfbSEec6wlqiV3eePc+uheG92DcRaOuAdJk1P+/kK+u+zewUxHX6zWL0BP8fx86diEsZxVucHRYPZyaxB9+ABu++QEd1O4dAjHerFs+urS4ClkiJxR/sY/3WLGrbluk9Cy8hd5SbJRB/8uk98qnxvNkxPeDV6/ywzIRYNYK7dWymZrgcWYDekPNHxonHerx7RI62jnX89CyMOS7meA8JarClGwETrlVJTTtF58aZ/cKeec1tQJov0O00AB3zmmmCvlRz1aeZDrWbS/usIT5oOa+EEKC9u46zDtd4bCz1hvcdgN3of7jfs86v3Kirk/ne2v71GVsLWQqcYwLxKrkC3bZBf5eXPxtO13vj2O8FeKPNnDznpMr5RACPcosDj4uOyvH2coRc0etP9HDM3X/XffzuMVcIGYKOFcZvI+UBJ/xi4+UIWs4H/PyrHRUR47/WkCO/EHwdSBaeDy//jEnvIOffDiVZVHzHvmuuEuqRUV113B3V1BGIqW/F0I8bPYjnuRpBm3BSw9//eBzibCTZrfQg+CvPM8dLauQhQ7QD7b+T5bxvjmsbeYwev7ymp+X2cTH6sWbVSGG/6FPRpzhzONzalKDe3ro/fg/048JbZ2OrwSTVaJ3/81R+1fYoxdBXAnQ9VnzF817j/h+EINL7wNnBDHg3BfzIptSFfHsUE1FZpApgJF1h4/0eaPuIlFLQoBrM0pTGyQXsI+FnldBFHXWv8/m/StCh5bOdjSmgONb0RBS9dTKD9zzAN4Dr5ohVUXaDZ25A1wP2aK8O//NTlu93mdBY8NW17vMVt2z0eerUpAtRzl9F8v/nE9lRvXQ75QAuxl0MnOItG/OHShTme6NtnGeVWQJn7zmnR2PmEbTRWY4z5E+KfC185hDpZWJcY2622KSzytafOiG73JlfZw6QI7TV8uoKe7EgNtlRvjagPy4FevD3mrT2PLHJd/JhrZS0OxGGV7Z0+2wSwOOpTwxoLzudec+vNXA0nKejbPoNuhMwSKX5Y/3i8ynnlPJAT7WF88u7AriLCzHXAy/KQHfUkGtJLiGeh3QmU+S3LukabuFsD/epDQbvI7c2DkAME+Wfm7Lbe7VsLI37LYjGAx9e5/OfTHb2k9PxiBVJ1NHRukJMTxqeqXL9lXL0JwFOpH9qJq5NQjsapJ5YQrdmym6sy9M/uQWuXi+i2C78Qfs/rrCiDDjD0w/xleeBo/py5ICzaYV8nLl0wnn2+2jjMQYaL7R7JU42jdO3LNw4rSOyPe5zkUoSAscp3r0M/Rwmc9PPuCA4TwXr4XbtQMoi4a/vBfk6dwhT2b7sJuGIKne806FUfn68YB0vV+F6qib/WkTqu5KXCjQuzsryYX895FA9iB1RMng4VyWVoP+KGPuA728QrXHFKKF8jl5ny5Rftm2YfoEakZBjTthHUIm5y8Sfu+DoPbm5Fwx4iqVmeHYK1tTHmUF1+G9pWHQnSQR4FwVqfH/IhC88QJ+0fw8V2qU0As8UXl4EG8yXWfHlqqm1ax4lPH760H3TVz1UGcW5RVZ6TL+Bnw/oJ8Cs/LwD3qRHb2GhGXFOHeOnB2Aq1u2/UTvt2xj7+UC7c/q6ozc62txrQ994/JyRcaxH4UmT2bA3bI19TuWzIekK2PTsP965EFsx5G+WeS3W9YvurEK+4q6YioHuQc/RIgLtw0jMinW+/988+hP6PbU2KCFhzGGg50bQpOFezNw5kxNN2UA3WWm2GWAPBU2eDcNSfFyMYP7P9578mpY6FI79lQlSQk76YD2d6tBsCXoM89/edl9L9U2YTwAXsgw0xs4lJcE6zwHwZYKc87GOFQM98bEu9nGHZ+iWLDXo5GzFpm5biI1VsY2lShLuQ5Kitzf2FCHvy62fWocXFy1YFwgL1mwkGzbNgAd0yHtz24f20I7rOmeRy8Y5adzo0izYR0E/0T+7Li6fLU9dnuQP+HOYJfCMetB5rgadXIEOB7SL5+DQv3y/v0AD2C7ki/4gbbzP8hmnN8jnMnMgJU1/VrAXi3rSCWi5K0d/Bnu+QUzimndZr/t9eLMLWyhWphl6VVZW2rHHZQXYtlHxGrDZfuEXwfPufbiy6mle/dyXnJxWGDcv56Vx1j4b0Mese9PW6Qw65tEkaiLW2mVilsCpDflYW/A7F6Bnu0MwwOfWG+ARguG9uol42/ub37MvnBUGJA3yEXBNyz3Ea5/L9VxP7QrrJ0BP3olz6STrNnX44zEIkQD5X9+zUveZZeO5y4ZOHZWh4JU9jwX6UE1RATHmU2leM2ic4vjuavTenU52hXe95caF7/rBrXCVGwM8mLvN2D2Aq22EoN96UkOGrETMF8gTwPE7UoxeyCx63Me2KSa8N7cB89YbvBdik/ldQ+Hgmen9oyrTMndPgDG0am30ZlvjfPoPJUkv5XrVxuqTCvGZMcrJSAu8D5cBv+WcUHlcr+oBsLMHfgifsx1opNHrGJJ/YZHX/upQt2WW+aLOGut3+oz/uwrsdQ4joLyhBQLV5Q7gIHp2Lz6FHJWiRgNu4HHHUBLPKePDGfKKBB7ztwgA/PlqlQXZA3IzzmxLfnPv8+4sSvfcXFkQGYjrL1ivM2icrGb0g7qtvbPu1xYePqytt4dcWPForiO9quMOn2eqxkvWWq2nBwI5q/vay38u5PpPNuRuNf3ew8YQE5PAXhE7Ou9LlbeDGrFeDOcWHQATQaO68PlQX0GewvNeoQ7Hy49Pe7gCLMjuwo2ixh0sNgLPLgG3wm7fONajgmcmlvTFRfH+xLSgedXio6/eUQG/2Jf/HGqM+5zvG6qsMFFKOd7veQW8Dufv7Ap7cA4DZIDIBJqvHGormYHuyCB3SqYRlzc02Kzgeb9qv9UhIN7Tiw6+k4rfHf2ctXmfarl2IEZuRe9DThcZ4O0N500x535S8epKw+7CJEmUtbF48Of+rItZ/FTbs6qmuZagRSXOhHT/N69N27RmUXcDnVw2jjoL6YE2yT09kaWdZuAI9x3q35b5GcT45RBHEENzl7vCPwzrzyKmrAk05HrsSgQFM0Qp5KZSYb8WoICy1avP901M3b1w7hUdgSvLdF8H2U3EJ4/jrK1IQc5/ep0GLOlo0Ytv0PaWcI0ngS8epHUjoc2ZIedcXnbAtxLglTXEzFT36tFO6AdAXnV6C2jkK/zdDp5bScNnzdLcON0AejjkoxCwTuQ5VxV96xKyzwfbZaDEJPaUxgLn0D1g/b6ZA+jBRQ25HPslQMHqsMb5ojx96cpKxSLFOajKWX/rEPC5xz7/9FLj6M/Q80CLD00fUXiPrnbulAoyNSW9k1HsuOx+en2deU+BX0CuXBjoGdgHGbzn6TBuFu781gPsCp45NfYjh95VRineIx1b42d1KYY9rmKf9rmdBhVPL6DdsE7oUrv6WzBB6kQcZQz6N/Y6iVWxjveXWyRopY29gaDfWouE3aumwsgkxJl7gDMpPQBu1VIX3IkSMV7eskF/ARcCbbF6AGZ3hSV2+wjnn5q3HPvv7RPk526TJTMj8L5NmP6Voz2DxrQBG0BPRfNhmvPXWSVbaIym54BZATyPGfeXGIWEz3yDnJVykRLY/RZosxX2V1IjgA+TiOL8WUd3fIoEi23QMXqCHGDRiMBePl33PL9Vz5rT3/P5vBpOd22ll3zSSwFZnY6D1RaXBXI+Rc8ZnMv6nAON89ACcwV+XzQx3pNeAhJfzgykN5lUCPnWx/mCeL4E2ZYz28Q6oU+t+NrLRWlwHstR9KAcZCornt+ppA4b4NmN9DkTKDMd8OH0P4/v4Qz4FjQyxTuiEGe4SqMusEkLzkOHPtaws0xMSlFjzR4g/Cs2CsDfOzzbQQcm424EWCtW7IfrhKBZw631ft0u+Y2ajdce38+ZvN92drV61kUMkAnC00okZpe7w0qH9xhwZ4X366BjCRvt5TB6v330gDeryvKO+eB5eFaZT+Le8OEqB+CgjMBOEgGTQKEjH/EBcDlyxOPrBt/5KEIaYBy3U4oesEkzrEFhXabKMrtqTIs6SN90dHrl+RC4arG1SV4E/ifwyDsbDXLmDx21dy5UAVoOdKaOKbeDwyROeO8PvGwFWnTPIbfh7CA16mc9GH1+FsiLxrcbYLbweWQF6/Dfe2XtYjj6a4gFNJ+N89JxrpwnFfDO1jUc8sFbw+lqt2jg6OuCBuYzHy+gaasbfE9Fw0vdWOZbTlFcu2aFM1vRJ1ygt58Y7kWvX2ew2Md2q0z6UI/LG09Qb5EOcup46GndxHfYl2l6EELlpR9XtqI56AE+rvE+k+R2ZYFWZpncnNV0Oquk8rBegA52kA1rjG/K4vXrzHxGHyfIpaAdCUBPhFcugllepuX6bWd5oYrhL4AfZaB1BBoaLR3sx+gqQps042XLHOBQgnxkrt6pIII9JpJCrneNRA+e0M1E9npem8pZd5zbok6GW7vQr8zMD5ydQ3FGqzR/G9ecVVmd4ZkK7sxu42oG73WrB5oBNifI8doh+iCTWMjH5ZkfG+d2rm2sgY72B9P9nhHhfQj8Xh9wKQetXdTGT2ruyVZ2nRzmzwr4HXBKt5EZPLPh/uNj5rvKjXbtoh6yD5+1X/Bep+f+WnTWynt9CD27mbiD9P5151sL4N+iWxg3ny2ARcXfrWaICsigZ+oQNxsuq+ez7p/zlXewPkFW+p9oJZmP72cFa1onRO4swUmv0+f7utm9Ak23daK3rUNevZwr7N+RMTWA5g8ytN4h0HvIiYBB0UZE1ZUH+i/eq8LrYF/DZ10A1z4ul9bykrrv+t3S/aWy2/Axe9RWbjELMpOIPkAvMsbIBp7Lqwfhpl0/plPrkIAA1vyz29K3BPCXejL2IeliMtAbn0D/oK8ZZLZq6IZqon8Z/wLujXybe3sBn016G+b61/qx/txa6lY5z57/G3CJ+JeLCl8Wg51n0X/n8gkFbKJ2NkYG8voKnpUHyPRXuNomA2HcDj1lvVuAr9hTcmFMoB/55ulFzU8OdRTOjP4Q/eaOcx4L4O3/vdc36/94O+f+LWPzqWLvCDoX9tmfO1v0CrQY8uaAl1Gwtbqp4OFq51x6EdO/EBtzK0St4i+vSE6L6Iczeawn9CCsuMG50j7oYiOC397AsGKmLBbyqQ13QXNMKhIDE+II3CHaB6n/7LlyQUsswAATotqh+8qsdMH5ewp75SJ9L3DuO+8+2shcdxY9ba0V8MA0UMhPB+u3rpJzAsRCf1aDuhciXbbWvKIBgWefsoLbwNu0wlkbwA0jrEXA3n74nQO85sxY9FnD/sK9CLx7B3G+OrD0SF0lma32bdj9P5/2L4+hZ7Zzf2NWFxXDAFxGvW3t9A248UlEoYs+E4eBPMRSAR8BLh0SUYyKSf7uUOz/GvHOWQEu5k5dYt39JcB5ztRaf9ag4zVTr3x4AY6+akq9ZEu0I8K/ZdwGPYpzliAvDcoIvKM1rfu8AwFFKcfubxuoz7aPEhqlHxn3cHZCiL7Z9ce7B7whEj3ERKA26rg2qGdfellArgCcxTkcBvI79uJLvIvaJycL58TQuHvO9mhDNbQTrVgCud2xV63wIYfgPW2EHhvXWszbeuhKNmZ35VhniJ1JOd4l5/rFNzbA8f2MAaJAbqFBuChrnTagBBshQJthbSxxQKNYBzHHDUf/4a9HNg0P0HEU82VtZVfNshU8zyp/escRv7bRw1/HTY+zxH69xZ7nD7kFmXy4ZJBjGI/p1yHu5srx6gy+02G4LzwxkK/Tr3y075yLCfLtZ2Hw3L+r+dRV3LkUaphpG/FHBhxEWx0lkAcBbzqcp/Hfe0mQcLh3k7bUnw3/94A9m1TlcM/saGA25K4lwjt1K1ueM2zKxhUeA6QR8Cyx5kQD5tHQ9kAnn3WkfCk7n+KsX/RPtYC7SvLyIjgLS68KSTrUlhCD38KQveAgHQestwGuXeYOi/xKSW+rcYawrX+87XF/AZeRUvutA3gc3y9ifH8cgF8gjNLlzyqb5riF1/73XhTW4ouXWBdpksImyc7pNvUUyTYCjTPa+z2/YF/brVlEwieRtuP7FfbMWSwDcACDhVGLdtNP6poN9j1kglu1SENdrL3qx9vndwYN7fG+UkFOpXuIM6fu/0BupwM8p3vmEORZfuvqDPRSiNqtcufvyu1O7YCcOioynDchFAN8gIAOr4q1Z8jfkg8m1Ix8tL16cZuiNd0DdMl3MypbAy+BfVNTS7uZ3T7n8GQD+l/fv/ngPetTIb4v1KLfbBTlPqDfB7k+QlzP7McrKRE4bxC4GWC7Um6Xa/k7n0jlo0qpDdyFAV5xzxegzRrQEs2y8TKsBkU/iYGyfRIFEmcoDFhDOj+Y9b40wJa0JUBwUqJje9agYbLe74B3AGFIJWcRzj573dFTNalU2HolpvCe43zFAn2Dqhv2kHN3DnF+QMbUmVgAudzbAqs4cjmX8D2mnBOXje835hJB5O0GumuRvEsOz+/4c+4NPOEV874Sp0c9Rl37cy5atYANjRFdA3wxw3OpUPcioJtMiimTP77sFL0OLNC1gdqBpsU6ihDwc6mneVPEtgEk/oteyMDRbBlu7r8cW+hLJZ7zof6PqavrUpRXun+JD+k1Xg5KUJTYBJJA7oC4GiHQtE0r8uvfKuexz3sx66xz5owKSar2rlTt3VJrjTpwLe0BRzsmp5lOgMcuYiBWGQA3GugJsMU2EX4CeH6hW/HD3MgrTXM5Ah6rg+RKiYj4Dj6F4/35HmPVK1di/y2sJX3jfH8vLYinlrdnBD0K/XeKvukP7Msf33QY3VOhEw37S2x9HhNxg3/bxzn6L+hApd9X6gD6wVkFl3xh7YXmvqP5S3cO6/N00kLsz8Ab5FYhdmEVcLlEiFOxkHfq2AfI/Ztn/f+xttMFsJwEBN+P6LnTHx28x61nAchEo58n9luRTwvOEa12HzesPfz3XehNcIK8EyfSfoO44aeD+Dp33uEk4Iw7+lISUbC8uUIuhNg17mRuVNbRo+jNO+CMNLHWc92vBRWqKcNIpln0nu6K2ykoFuqsVnxbv+5uDMRUCZz/LdvRsJSUybwJKGk+T+G6UXL0s63oAKs0dTeW6EGIHqzxBmKbRF/jZ100BPwTQZ6YRBAB+mvucuejV2ogUOeMv+Y40D8Fvdb49SQLj1uNx3v9BlwNa5VWIkWC+L8KWMAcwOgZ9ZI2vtXcTKloxjpc3U9E3eqMXiDHAO8Ud5w/rHNyqDkgFxM9ecxrHwKGCeDZ3xNZXDnEA+DD+9TSgHsp+pZBTBw3hUWfGgWKmx0HcoX3lombYH0KPj8as2A+ngjOq99XWQs5O4+aFPn+Dri1Y/5//srUZVqoq+Up/XNlgff0N0xd/Px4iR9TUuWmTDfrlXIN3v3YrFvdMqxMDuRbAKbOgkjxrIDcMmY4FyJ6cmdBfMv6ieK99Auz1UYncfdnlUC8OGWmPFofD2orq3aTubZFKrmOz5lv10vkng0byp5ZJ97wWiiHQf6v+6akDuD47ONWOjHO6xEG+C3u2Y32a+wpfPXAOIDjaNbZiu6ePratMB8W54DXc+1BvrbSLUkBR/zAq74nA3pvdaunjipgppqv32GNfMiRBr3kKotcGDGXquMLJXvASeiBN758stIyoF+Vox9lR1Bfc1v1wquzjyuc1eBgj5wFtBM7sqsz4Cnb/YMtxVK2hU2HCPHOZ5KPP1pGM8bzMmOH0mEE3k/Dt4mbEe1Ww0uH83vBeSpYY1fZ5p6G8wHviCF3Dkm7h+/TSdWxNrH+w/o2yXT4eaVyjs+7ej5lEd7vwnnmOG95rIfurkK2AGf3qWDoT6+0O75qem/1IrL/zetNhgL+BpyLfcI9YIDPI+x5wdd+bAMeTv/cdK9hn5F7YutStskKnv2CGo1q539VUpGsa7iwWQ/vyBc97dXw2offriQmBl62YJ5JXPKebb6tc0DL0hrd2iIpA2RSbUnx9AvoxyIx/KosMyj385YtZgYcHGoCezxAP2Dhw/d1kHv2agDsuvU/AUe+6jYFcz+8Wt4XjRrtrgqPToD96/ZTZ1OMeZIXVsJVCjzFZ4F5ZBwYIachc6YMYr1HrZmoLnHSHbGz0LKVE8VwRqTgH4vq6HwCzPTqWWLB3MJnlRAhlQjIntuoU1xfE/R3curllPlJ2aOvif8o0VUS/ncZrtHHisJe/U9LNoJYbcLSjWKIc4Zv/riUFA/0eUcPrv++Sxzd8RNQxZXtkpUeGhqH+ivp5y3fmqKyvOac0Um2kUGfTrw7y7ZsqYgA3MSiEjBo6ZofkY9fqCGYDaKVxL+kwAWKfs2YA1g6T154fnVYAFfzuxe3yY0N6MmiJg6cgIXGPYUqgfdlF/hZRuDMhQO4uMM7O9FHU72FiCsgVpAmU51OY0t/11szU06dUw7Y3BCT/m9eD3g96Q4u5Dq72dOFPWuGkN+8zIy3elsscYDaIE0M+XlOcnrAux9KfOuM9Q8LtXTYnMhoo4POlYC7sF4PWHkvcXaaf9jZUvz6mlFCOc5GFxYJlcv2xyVqSgOrLdihcpKHbOmPCNY25ROsI/fOwoyFZQFfZAzy7KfaJS537DTjjZvYJsikOp2NVmzrM8gOu7if/p8nMvxb9JjrGyt2ukdsB845TLBmiPrABW35ch7GDh0LqvDjjn6CkPcXwDkBs0182qqh2sUr4NmmHKITEyP2dNqYPxKIO1k3vu6J3rIt/S4XdRMdetYl3uGx7qulsGvDjoqwnoeFV1zWPg8+UEfuRwUerHeTVkuEXgZPT11hjyrrx0ZIM1SuiuN0PdLAzhTWwaT++sUbJnCAK7uAP9GT5x01ZpLBT9Iuwlz3vAPM+ig6kb+3M8ThFKfCugi4F+RDwMc8aObMUdiztEWdYRmSGBDZDyPjNob4K3L2uk85SfnHqSCHwrt5h+decYnzlJ56Ylvkdy4NAUNvqWiORU9WcYiaJ2pSlogZ1pPh84E/RefAxh7qlIdwRnI/qAbs6yfXtLdfZzlS9l/s6VnVHYmZ0KkI51CICHiAwTvFB+Tk8sxX95cPQNJrRwmfo+eUEoALLRbU225J+birLfFATaFY6Btr9VscYm/X7+xtqV3AC0KVCeAiOCeAbTRwoNqCz4wp+olum0AatU1as6Jw3uJFEKxfScFC4CUW30ZHmRmnckhWGfp2sKYfseUrnMdkoXjw/vs1x8EhnT2yMLFP28aLbX0CjplDzAo0ab5rW821G3UQW9AJw6kt9qbQ00SM5Zk03T+/y78r0fq0tJWiS4Ra6w5smTfURK4zvGMkvzVYwEQLanswMz4gR3dxT3cp+eslz3vgDjUHPmNJIsAoI+LmTE6hNB9OIagLcfCWQUw82DrLlo8b3vFjvVfy+fsUsnfgRYB//V8vidSJOPBo4LXmRDvgNhbqYt1d9u+uZ6A2f6S9SjMTHRh6mCzsXgyaceDByrEXiPpO0Wr0bScVF1YxAA7qn3zyMxWRBfHzhXtDvZnQZxj7FT8Ba1+qnvVU6jfYzffasscznyCuENgLDUvt6AvQJ2JuG3LLMbG+8V40hOc9VDldoQ8t4NFJbakH52NJWv1Fh18t0+PZRCfAYm9821yAn9xq59MCHDAqOd8Z9qCEnQ2/YZdJ2pU4L0wM+tomgHfvmnxcU0cUR8fmynzMQmqSWtEDYlcAa5XXQ+SjFvurPp/0JK4ceqc7ISEfb4SzepwgjzGu33krPoFTJWpX3yG+MuCzq6PL3FhaM5wPARk50mEDMckbTgLylRP96AHfX2HVGfBHEdnncH7V9KQw+hO4QlSm6wzvKJQ1DqXTOICPimRoWo6YjM8TMEf21DbdFqvUJaus++e9SHszp268aHscIH4TtY2wr3JTbQC/B/qtyH77DzvtBFedmza2zA3y4TfDGUTb7+owmiDG+ufd6FT/ecyUIngo5IyX79Upj4BDMX5ctIIcI0rRZNr9e4fnIaqljLeNqQw7APZ+vUMRE79Vxt8Xzt6OO9NrCWuKMwgurOMuWsEZXwn08+N7q3bMNe4U5/Y4AU3v2EIuYoA4Rf5aR/vvUmbNj+6akvHkrgG2pAJ9+X71YE88DO7FZVLo5wKfGwEGb9llKuqQ2XCiAaNEGfDOq+qeM0PYa4v3rKjBvsd7xOrZ29hZEpt0L1Mvc/4oZLSXsC9OmdoLl71qRJui+zOr0IJ/S3yIqxTvOZBbwBpPLNuvUMe97iC+vbRK5bpnRkeF61tZ7qeJ2M8ypKfKYioNTZhZimEPTwxMN0nX7rn/9QvoE26n2m6ONG8gphijDRsrEe3YgPV24WJ9HtYyQH+YBGc18b4XMAH2HmgX/YvUp76sL7B+bpaToLaLO/D379LRqOsBnPO3z8GXGfsqMvZPN44EdmLM6hza+wQ4win/vPFw/lILvcbWLIVAb0R6PGcaSBAZGEkc1CNDLAA5C3WnvZjA+1l0U7lkgPeBXq6vPj0Z52qjO29gsB6FnD9VT805nfKzqG9c8Fvq8gU+X1E5escF3tvQmH/etPMGzs+cuH9XOCtwdIqbkF4Pv5398xslt8o20Tksfn1Ui6enNsaZ6F31K/vc1262+O/ofXR0hAOhg+sdG7E3TGXmqwbWAjn/AmfnxpYA/p7JmDNZCn9HA2/M8mTBmh9wEUv/N+fx26fXTfckZ00VoH4GCfVOoS7DXdgiil190I75LKXeii2lqTPu0YsZ+OQC+OReL2QpHToB98D6HpW9fq+30WcWCFRmillPHjxjrz4HD3A+Aa4/yFzE2jaz7qcp25FDHJofmSuSGCVKK+rEVuwrviYJ7x5VXt8riFEsWD978Z84W9rvUuilGNiudllT8pnorLHjVr10KlaQ82Vl6Zsw7BJbhYcxFOL2VuajrQY/pKEdwfdvS2EenIxBZnkh69cLa+l4EozGwf6WtbqRWXRkcmbMqM+6p++VUSZ5TCTd+a/6hg20nmjOFvRyKlBPMUxWQLff6j4Bvjtxyc0R+MmOER/v4MnTdww9x91mU3LmnXYqhvgQ6MfaibN6Tok+nYQuzy1716Sz03B6cT3gfcaD90shV6PX2BcHDAExv4c4lEIsQc1+v+yiXdJiL+zTF1CleXw992tepGt4n4KoEHuD6lu50xPkDMCyelt03g05Ymr/+vhY8UDiVHpO4RpDsyaqZbfS1rrEjmXALw0LaSF2NKm3Yirt/b1Ip5ihjoCJflIesQzOfGHZTdlGJ1gnnPsbzhlDTZQYouoFeP0Lb0SxdV9i689V/adby0O7EyR+AP6TmOYKl3oimGCnR7DH9h582lyIhkOM6UX27OtqBZz92FLXAvtGtuzBB7KShL5BiBz+11MxAV/6fJRhvaqHpqfOOB+t9T1FXitJy53IpegDt/ljnaRJKcSFJG+2JWrAwzmCfajEVvVspx0NsTuV6lu36or3krR7zvfZ8DteNdgUfSAznGnKWJLtDPnXZ0k2olcJrC+RpOEyjwRFDwZH50fgmrAeq7PZw3+DOO3qzUmuv9KuOQDrpMClAOWoG/aEJTlgK8v+9fHBuxfAvLvU9kmx8Af2ueqdDzzE/pJS/zz9Po35Al6Pum4x/P8ftZwOsCM85eBcL4vgVW7OQdQmnfepHOIjHk9bFcQmWXCNX70i2MN/Cr1VZZEjcJpdZYsTeloCBr1DNrgySX6ENQL3BOwNZ0cIkQJnc2M3+k8rTHWAIU61bJzCEddTOJHTZn0tFtIBd0SthFfsRR+UC7UjFVveW+GsR2V92sIBvEOatLb3N7xKzELW1PCZdRalqJNfcetWXaaE9bYDHG8FuSyE/OBWTpMLV0DKYD+1nG8a64TkpUUAZ7m/X9mgKGqt6McEvDJ2ajnedfjtQHy10sWoamliQLlBxSfUHiBYf9QWag/b2MtnF9aHfXBGeH/jo86UjZpI2cAs3THsxXr1wNDCMW9pIMrSgrUnouMZuZUBK9LN9yNxbPS/edRcFJnVAI7x//WKIEdtyVcl17GwtMXNv3t1vUQFeqFl3dqkOwJnNbpIQX59VNE3Juv4A1j1TkvKT9voi7Uft4M7ssL244OtGGAjqfJolQK2qnPm8a5hR8s8ANdiX/mz5p7tdHw23cLb2gZMwkSn0ataxYS9ejhPaT9+J86cF9YclIFK/+lACweyVQ6YNhVuDVgFaDh6IlsfDxVOJc/ZW2bECvB6nNjdQ4fE6Ix4ZTeTqp/TylJCZ+htup/p/2YrFLVVU9n6WjzvCOsratKdMt9iLbBdSwzKmvuqH6fKmu6v2jK8s30iV48s0AcVqKTio8hskfGQYN9EWYe2EVina6P5YFmv9UJu7cv2rxvDWrMM+5LJeN4pVjjz8O+ckyHN2QE45Dd1SQ841T/38T1rI6fIdVOGE/BrpgpOI/RBo8TsSzkSQGo7vplG2Y+//g4a+EDCR0bTP27JxxGeZ45RexqelefjjkMeftYYcpUUSzJzWwMGiba1VMc6NK1ehBW3/oGFwNRznwGujWobAJDdDIAp75WrXjjKUVbjA2danvivXxcVgT2N/vZyHoWFGCkaYqK3fKld2tuBwtnGBU6J00ToKw2ci9FgooB5v1+9xtnWAJciwD3rKwcu/hvnuwm9KBfq1isZqI3q9wvwumuCd5O572NfuAx0FPeWwxzKM2tvp0RIJv6uUtKEsscZqz8OX8RbaetR26Kp24aW/erx1D1vf+8Q0zSDeOMADNs2bxxyV917fWbdZ8iHXir1Z9kFdxqidxF6yxdeIqcV78fPypg0kfwWb/dXLpuCBsXt4HgJcIkidvf2Kf1eTsEYySB57Y1EL3sLcqWbiG51TtcnKmd6dMU7xMkAnmfMXPXAe2fsl2D5+Ek7e1YO7N+tgO8FPuSsj8wtZt5p4EjmXl7WRucBnO9uhZ0TGfCB1ztEb5Wz1F/K+XMX1qxKwK3cigxz/94qQLoYE3BGXBhAz+kkj3Zg4Uy2aD/c0kBcI2ajBOQe1MmytXcWujkbckltOP+B6JLH90v34Nl3XAe2PMmIs2Dsqs0a8iDOodqsyMmzbxE1i9KARYCoZxba4X9afQcV6oK7gIkWRtVl7aS9Bxg+cuF8TKkp0PeAiYW/3mERd2tKA+teco3+6dc4nBoakqa2Bfo7PM5B42dDPQtrBdjTB1y1HoETBxlXcSWYkpC/tJx3hc1cGUQGuV0msIfcLo+2r0T6/ZqH9Wge3fiiFOC2L32ZSmrZZTr4NDX+D+Tl4amfI0eIhcxOHeUBZ/UBU21r0RjNgRcKnH983sUHybB3i8u3Gxv9dsD7eXc/c/fvCx8uyWXtHhwmpFxnkOOPWTduUTIZcG+QIkdHb6TANDExXtXpLTM4t7VmCnh6SqIM50BS4AnCghxvUSr+1Q8t4GOksLyfw0JesXcjIO5ox7IrokUKuEl1VFU73dSX6YeJxomJ2CUdk9rWqgRMRa2ozXZRCPwWa4BRan26QhDA1d0dPttnmQBuEP1w/nGXHYVzyF7vcD7aLMuC+x3wLWBS8sPt54wZj8P1HOfweVvAjSE1x8f6U8gGcseHfdrpy7nvHqdd8ybDYqlCHasFYoB1f9YPsc4WA7aod/VNXqZfvZTSjbKjw35QhzVGP263iY+ALzjkI46NZC78zlyX6B9JsyjnSwNozQc+WThZP5IMuHrJp1lmYpOGe5dLMpf5k1eO5+6+yhb9qhG9017P5zw6MDnx+PF9jd3mFC/M5YYMODsMa9iLljHVr5NTQCB/sYfoVBHL9UkBD+LWtANc/8bDxEWtjKLXXwnXN2X2d+C+JWpT/tZgO5Jq2FGFib5ZK6Z4QPwy7yHO+YlDY5y/TLgXCE6CBFlVYNtx33xBXgsTqYp6y95qxwysDbza6h4Zob7eBo4eqIwHBTnhd7bigGtbu8mjwBnAnT+VrYakZz4rV6yA42DPi88zejw4ESp7A0+Bc/TriSyscvED2LvAu9QeODOcc0j8cCyybrVS9scCsf0Ve5eaYF/mOKsHvE+HqsL4Jdb/Chv4qmS3Mtc/IlARX3xYmRG9m5sM4ktGnnncAdx+POXGYd1IM1jXGjBemfsO8P/buU0s7H985UrF7ysK+whdDQHrQl75c4MYc693bI5DfT2b0apdccOZCNS9hD2ZpDv8QZAQ+fSWBTOvBvUVd5CVwvEL6//Ym5s8NcGJwTX677uGwghgqsUD+0BqC7V+PSF6Mlb8H38uF8o51+9M+HmakfTE1+9sZzzdcovaH4//vD6+FIke3EQ0bcl7KuhB5ntP5ZrUQW2/er+fXvOO3lSdQj/yO3f+PIq82VGIznInrlJaSyFIeSKA7bvATp99X+aztrwZe8oqOTtZiHrnxKtgX6QW6eE3xRLn3DPFyh0Vv+drEIA5VneIu8ip00REqNneoCZqGgqeAA1FDa4sUCPkkgLedYLKAAq1kflqpcPpce7MPQ5XTgGYoTTKBVyYA4by4m006cV/YTbI2Rp77yeRJxDTuZcYMXKOXg7RDXIfcGUKMUIBD/E4zqklplhB/B64+Xs7D9pHDKH5jD43B+D9bp2PgzLR7ZRHTQ0QBvboizssMfCuRJBN3c2cZh9X1HDMCOS7jpqiUyPqvjCp/APgRNo1hEF8VTYLK0mCs5y+6e45I/FvNmYrfkq+JnD2SsihSi/dlRH1eochl+vh3NJTifeqnPrJEA3U9kPAlj/CiXjlfnhFL6a6byAv+W/HBeJQC7g+/3QE90bloL564x4sOPuDITF/3sFdC0v4aTBxiLyvGPUFZzYGbp9SCRwDOL3s15YMu1Vm/13UICC/AU90DeqhLEnrv8PZPUEcWfROHOJOjNkiQshhrQ7NI7Ugv8LuLDKTxtIritZ0cEZee35/JmSV5LFFOWB9S7+XLXkkPQEGwMan/we/OwcbePlCYB/QIs5MIAxwHcK+00Dt025tAx4a0EMZYqNV7fzP2I4fqeMdDo5S54F0vziqpxfUhFbdmjPAZ2eDM6Z2EAMGTizIaw7gEZznzhpDHfaOOf4UqkfWB245+BvghxBLG7/cTPd0YDO1KNYEYb2bqwQgkIb2q5by3A/aZlO6mfIzX68kPDsNlQVH2TlatlvumlXpjnu862RyZUEOdIRDS+DjE+SmDuLnUsA+1C3EaBtARhfg3DbWUX3AijYnv72OV7H4FymDmfWerYZ60Xy9AHda1Xkznf/D98CgRMkV1qOwZ8hnnSp5t44yw06ZAyhfmI3ejRC7IGC56qpE58ZS3GKB+uafL12sWzUUy9MHKWc9hOgp7mwPdWNYR2jSRpeSA5dtI4irFDA6o1yMz7OeCIjxfHXnAeo4RLleyEAD71Dn5HjuInh/3pA85zqa197YnvsItZ+aomM5zcXlyYlwvp+vPD00D9nrpMwFxm3nTPQxlg3knw/7HGqDOow11ty7CH2nLSkU8Ml1wlw444ZdKuDe535+5co2DVaeeqx73QKngpigZHTKWh3g7Q7Er0ykk1XIRjKHAKZtPNpBruc26vOGsWRRsZg3hr18w3il22aq+P1Wd+Mt7mZZov+N/J9nq7ZIInJfVYG61ZYamKGPExnRd/yz6O52sZDPbKviOlw/kOdlZj8z0t15q2+QG0YFeyR93g95BeAwKfvmG7W9q1yg586IvXevmkMh9Qw8Ny/RW9EagbWwMh6aBGKkyyEP8SBaVem0z3r7v/pHtwAO6p69X1bknGG9C4gnpWl+TpJtTlIv6PcHvGIPPOyHhh+vGbpJWchtPCIgRsG7uqhdfOe9Qe/r6OAKFaMWr03RZwUx8FfSqW85qE+ITU8tVdYWgL3VN2BUqYh5wPe554GGheysg7tf8Sx61XvT2tZ4l3l9zpw6+gd2yJvOiTm3HPhfhL7Db3LQeHft4jvl3RgC/76prnYOljEHS3/GVnStnftdbz9uPNQr9PI+hWIA3msgh7/0Uu4nmViAL+yDqztJilm2/k4hXrZFS3diSZwmOSwq5ZbqIa9jn8O96CYCnCLUAYCYHufPR5zpwZnYlvPmJw1ElKbTKQ6Lm7K73/Olsa8lA8zZmTLt0GcTtSbtY2lG1LidaQ6gPbAtbtOJDqNbQKyLO4+jN7d+9pGzBGJqAHyRita39bZBDdFD7QTLwSEF7+vXevnZYnK2Szz05vl392zn59wUKld9jR7UEsJGqA7UVteYk+9a6It24rmS9TXOUEfA79JnH2DiVNbUASb2U0E4MGoFfAP20O+sGeRTweF32xznkc2HBXxQ4d2MyPwtJf/0/bMtu9ZZs6sHQdJdMwtOH1kgsK8yZiFH7WM/lVNYddE93kx9ufODJIX/XESRht7rXu8iO6wJGQewiJu4VEKMENKYH8C9B9min+CHRx1zzcLuJlr1Bc8L2AewgBBpYUxSdaglw0K2a3zl0u94x1pY9yXpdAQY7+0MD/E6X9j7o+2GxSZ6qzLtMgJx2omS9LEWSja0EGNe4AwHpzgHbjGuJvR/gu/cV5zFWc6YMJGo8vhW9aiLRfyyGz85zthJgroYr342vF99xmV4jqgYIIJjnh6YACz6o2xKgF87yo3ek9ysznzyeD6+Z8DBY7u+Yj+KBCxAu9VCn/e/n5YGHEnDETjU1MYimNXlz0u/1xUDW+jQ3Eri27SPZ22PYeyyAr4vj7v7s1dLiE+3wt6EzTSU+f4ueniHcm0qnAHjEewF0fBMvFWDSZK2QX2phLv6G/0qEfP99w7hd8M+6OYikWxV2COrcOYxpxvgUKLsPxct167qOnh++53nPmoXlYCvfMEjUwzjprCj7/PlzxL3xpSh91Y5xK935M4z8iYc636Wv/3zyzn0ltqwXGymFmKTfcrIoIV6Syx9yBzRCtK0jIsDB+4JWDSvYU1pz94rY/rsGbP0Ixbkcb5M6bkrvGQYOerbUvg92a64n4V53RNtUDM33aHnF3t78quugZzSrZT7uWTPfVmsTrBJj3bEmT3uNXBDeEaaYc3mqQmqAuynPmVs4YHAOarotI0wuAWAuzeQL148ZcXNUz/5Ue3M/dwFjyTvHhXH3kv6wD7zc2CjrkEMGNhQw/pEUDtd2EkP6lqjv29Gpv/yn5MNbCqHeCks0/GFAOnc38udmX8xdgafv+zvJxG5iQjuRYv3TrNfh9MJeAtwgcCpzd9rttUEzpvHnftV9PC8wtyB8++r/3SVKnvs64x96b7Zx0uUAX5Gfey3GrjU694cNc+qfD9nJvLQ/4vb6Bvm39mgdqmhEcSCjXLWnwebWGfUEDPjUydeO6vVAfeF8a+VIG+xQ5q6I3MsJ/TDjTEWPPXMc/3qZ3swwz4LJ7nKTAE+EkHWkwvmPJn5+WlXP5hbwzu17jIE3Mq1ix6WgMM+JXovdBTPuM97yG1SRGxr/IxHnpY0fdanBMT8lrzusveQn5pUNgNwz+acobYXhUxHRohLXQ05Nll0oAJ2Z1iD7/84yomGGpg3YHoF+3UnUL+es56RMUi7CM7Wc1/emV0/uLN61Ev0Wi8GGGaT/fM1U+mOdZXLkmr4dJPLtIL4ZE55811ydoL4B8ti4gz4G0Dv6cmvHCBKqFdhyAF4W3Di3o130VcJZ4VifdjFO/zXrNk38LMR3us60AF56HDOBR8J7PyE5WoDn0NkwMb/elMvMeePOIxW5dBZjJhv3eG8Cuy7tnOABxG9ZU68NH29i0b0BK/7aZdY9quHMz6na55a2L9HPeV0V9gHKWC8JTNqqW1YQ8DnwrKDLIhOPKC3rAXukEcmXWI3tr4t7Gcrega41L5XHckrhzvwJFQ54qfOBKV994qHD2qzgW/FkrXMzRYAeuiX3dufZd+MWffnplq1HG12qvtxkwbrd96PQU0KDzDrewIYFO9uToH3xHiyU4CGUQdB7Dnkf7oDbALc5oV7Mwvisw3YuddFNmDQJANzfaIgbgIjnCDm4DyYB7EP1knJwtLm4Nj/PFvTNfCN0We5fhOCcQZxpwzUVlvPvgnKW/WW5tFvTQ/2LGB/2kjg3IAdw/q5BoFdA/euW38rgsJixv8pAddWgmF3e5l0M3BkiCW9eFCrvureRk0g1GI8cGc9qLBpE8D1gAn8cvurLZYBHgtTLjZKzocysA/Koj72CnOuoxMxodx9oJ8P8oMtxMRT3NN36qjbSc5L7URPz5r4sX6r+Ar4kFfqILLTYFwSlwSxq2HV+a/3oob9Wsv1Xe72wNOip34X75IbnFPsZ3r8q02SXc3XATAmRolATneF59onqA+GfoTO1Bedh5qiwCj+wnepSThrSNoNYMlfXccL5eMF8N6S2oDFww8XMNtL5yBlHR1SoG/CLVZM/LVVz+bCiB719mBdE7ll4gicjgKOwTvF2FU93UxPnSXUYpRkfFchee3DGWJtz7OGKSf2KgJxY0CtMY+VsAcLqUbUZAe8uIWzO6aXPzZbRPz05zBjozlGTX2EWO0VUoRn4MFVt7pmnFwAL5pUFkvd01d9flVbe7dsjax51HKL5MISPcTDWQTNTgEfj83+kQDzBr5iAz+/1FlyBXx2Ea76TAl6wdn+OXzOkfp8aLLMAThkR/fSmEcq4nvcv2p634BR1Fvh6nfG57R63hfjXP5Ty/la9cVV8PVOX/64VfBxY2HjaufJUa3jY431sAYw9ftJPvvgaSzqlQzXtv5XO7hpO3rEWfGqmTMtjMe7Au8YO+AaI8TRB4SmW4IzOuTzwXvrUdlmG4vxU+E+ISo/WutLYpmBCz8CZJRngQE+RT+pLBzmzCGchVKEnVPk/A409qXd9zz3EANVBSgHMCTkfmbrULwXTgP8kLiQR0jWjXPVfViwn1fpZdomrfjiW9SQxZ7+7nqwgBfnupfAUXH9tduMLFwvJW8y4JAvnaVUoYdOZ9J093nnUiwinHLZRt2z/ifXVkn0lPTFLf2nJQwx0gR0xw6lUPiOTuc+XjQfXeACB9XbhzSHsw68NbWbI2rUpvzP/IqHwm0G4CfRORQS+CzOghC2QK43bFN0qL874r36RW6BpFrG0yRYmCzuMVFtIsxIO3MrQ/Sb0m3aBvPBmkKWGQZ8aV/w2JHkd9bsqgxhcWtanDkFrheU5tmTd6A9bSD290eH7YCLNLovVoUpZm6aY+1SDrG2ix0VycvUVg59Ayzjof8jbekYDzpnFvp5Q3yAmPzCh5Wrv6oAsIkb3LkV2MIlqLEYpa1Y6eedoMpLwDKHxW8y0zDhzA8d8PvTO/PyfVMGnhudKyEnofar7PQs+mglu/W+7FWUil88P9PW9E9dzF2zwftOvfXf4hAwmRFWCnEG9lQkhCog10IUAV4XRsnRVhbLP61zHrkc3hd6ax4dAdjFXIBfLXqJmvOgO53Ry4nXr/pGXADyOPf7WQ31XPP5VuYmpfn4k7p0gLN2wr4gEZBDJfbzWU4ytpQ6d1Fbo0/rwAAXf86IsQuzv0PufqO9PinLGwo39krLjupgfOXluTZ0C3E9Pu9ed4bFzBbWZlv/HXnjGTCRbAnEOnJKMC6HgO2FXgnbfKHOY9ySy7Mfw2InYT/vfPuawHmU0RfgJBfy1/a1DwEfAs4aIyWaWeNcdajRs4arPPpW4brPbBIUHepZmZ8aOGVFgBsN+nSAuFGjfi4BjJU18zlvguNi7selEart5kxOe0kakbq/mjNWCVwU+CTWIAuRUV/zYAZs0Zao5Yx+mDbZKevPHPfdtVx8iJaIsSGXLbBHF73FuwG6dG6ZCVtybWSrvzTkmROfTeLYE7Ppa45jJxZyOHFaZDvAK8J/nLfRtmjVrk6n9wJO/MGiLXrUysCmsiMps9j3iVurylm79WWagNN9F5c/cB6Ab2++Z+1Aru0+FsBRI+p/C+s1e/ttAXZsi8cfr2y5dzZ0B+fcqXsP61pM7lQihr+3I6BHgXu8m26lzSZYHx/wYgj78ycjVHHSHFJAC3RQXZWhH7spsmDNjwt79pa8akSQu9LU0c1T32YrfqqenjIRLTHwzNRw68RHEW/hd4onrv3RkqHvyEVY067givHONoALDzHq/NqBFVv7q+o/rTjQV96v5bn9nSlGmjTDe03SgDFGtJ/1ngFe7PJdYJUh8PMnJmg2EPcsTlRTE/1eE/bGAaOgRy7PxVts0bnI0Zc5smLAyzKI0UvgAlwZCLV61ZY72YnoFDTYT9ph7wTqCT173FthNGmuqJEKmbXjBDB0Pm4qN4LMMf5kQnhHxLo5fC5fe9Vufzs4CXDZwop3H+iX2yVdvAKe9tKpuJ23Sp4BX0KcUoXkD4gVu6NLrxAbbUbQk8AHpqCAY5KvWtI9beFMc/utDlHtaD2g1xXd/LHSsIM82S0acBp6DdDgXw5M/uexe8yywpbiwz5LxLUsSoe/bo0aNA67ZEN0qAHHJXza1hz2RRYd03RSordtyE8H4JyCGSHjgVyS3rqLNlqULcwTj1wmpUl04+5vjzRwdaLEjvTPuWuD9T91Z+3fK8X58U7Q9LJO0B8os4RILTQiaUaREZ61yUwzKtHvPgtiS3ezy6R+k6jRH85umYuhsAorC9f/mzcH3pdA7Cgt85MtejhYjcwcfdASfYFHin3rz17U9oltVOU07dExLcSRGbgcYJd1WJvgBlgtYT369I1vbPecb0mOENNjZ/+6y96VwvchF215YM3nkBWwj+/MefaGzOd0AtwazLFp3o+OytAnBs60H+fUqULIPVlxP5HuLnYfc5JBRLz8uZ57sU03f9zT7sNhVmGzx59X/dDT6eQCR0vKfvwW0raVw34SM3ZV2FyK3L8KW5R6KJbY1B5vyRe8w55vo4j2XgNY1zks9b3MKCkD4MpLvMpaf0fl3gGurNRjvYHz+6ofPj2DAN86kFse/+6m55jtIptzlgEx+Syf/qL6s7LFBX7PT5F3D0FMFueKV8GMecdHL9vURAT2yfPO9xxEXxAXlrNskipoXhomFPWB4f142EcBmNkTNj2ehc4Sd8yKgXm1Y2Afez9ApzeSmzCFPVNbDKLEhwdrA3z56YdZ1hD7lfyD/gFWLOdO490u1pS639h7SZa9lSE2zDoH9dIl6ZZyIBbkoE3S61RKtUo7bwEMMwLvyhNX53oxo8jHvBDJrXbiVRxgbIHP4Pc7cFz/sLCghij7r7fEfvWleBjHNXBc0c0DeswAF+jhT0i33RWnDXko1Nnokm7WRmYkAp74VfL1UA3iWBI4R1Lc6NA8qpZfC2ftnQP4d64qKZ93ulM5xLfXWXb10t0ANxcx97JCsK1q9YFv1ldqzaEGfJ1a+ueURTiffYwhn6J+S+ZEK8AprCZKKt7M2L/w1Irr1E/NAc86658Ce1UHwLXuC9tMC6y7r3Ll1qHYJhCrcA4ntcfVuQeMYWnsM6H1jr0z0swZ9lqb/Qy46huwxE0/5xLVJntMRzWYWXLUt6TflEcpPNNngTpvA33N+IxSNqbOGeodR2mwup9zIKh202RbU9TcoxCv0iSLvqgzbgAvZXSn7jRshObzSG1ildlfyCHemG5Jn3L9xi0vgPcTMqHfNUfvrd++5em8i63EwPvo4ztv/QA2x1QAdxG2xjrbeA7HjFroQ2Y38L1Eht9YH/aecwE7wMcQC8+GlGwxB7Yz8Zk/tRsBbzdNiTViy3vdZc9nosayo19ZIB6CN0FKOhc4aAuxgSqXOOk2dllvLcWAvd+Bc+5pW+Gdr2gAc5MTs2aJdxqFs8Ke0SOTaxX3wVwFXkgJcVAf/XU3elxUFAs9s/6p83kFrLdKBGvj58zBXy/bJrbeklGH0Q0w7U+WqxjwdCr6xughauK8aWUAecSiEJ8AdYdqVG4UwXkJqPETbf9+V5kuNDwAfwPefAfs9tS+TIXeHJwZcs3fJYadFvNprDONPlduFsZzOUTXpI+9OFCAF9cJ8DEbMC97zrA6Ojxn/KEAuyW5Jqdd86r30njoFrFEqImyOkPMOfPuhr6+SSfyJJ08OKHvEmI48kMVPjVKboCnLdU2Jg0/50L4+xjvqwY6nuV8Sbj6r0f686H/62l61ecZIdvKGleAHXewv/Hs4hxAg/yabvWpDKfNOdCldgSjJHIh371xR3wfnG+vJuLfnBEvLG79v/43AjE2jADDsoBCvnv1A+DdTGKTWS1mSSCvnoLaVZvvFYStFR9oUjsK3rK3qmz0hAU8umu+kq6eBewh0RMmjFo9e+W6aIA8MRU8cgCXPH3itfCD8/b3Xk9lKI8Lh+Lc4516YqnAQq3rHvbdSvV/rrG1DqiEbIF+v4OGfaA3dWhPz7s5t3bQkwfO2lvCR8DYGNf0DDnQ5jt2jXPs9bBfe97lvQkqx/bPQ3PVXYP6CwFElkQ/JkcM0U8KfPafJg3EWp485K67oufnKUgesRPdqsxvUGsd1ldg7ZTLxkpyA5hNeGmPXPX37oYC1/sBvjtULhviQQGesyMZmnvdaxL3nyvWjWM2+Ha5iybAZzNgzgXw5JZbujzD72SWoBmngKmNU+0iJw29t2RIbIi/2MMU6FAVL64XO+PCBnY7Cw4rwwo2YL3SozofTZGL5oBziRjfU3xOE9fW+lqk6+Kc0ZFv2a7kCnLyuM0sk8N6beEZWSzIIZV/3INL5tIaX3v+E3utnntJih+Wi/JMTJNkBjBGJJkQ72z7ARgyvsWdZye9mepMxUkH/IpPXGz5TbeBm1nrVjteGxPiacBIgMOvpbP+PgWefyLFC88Dqvp0tDFNzNV8ksIprPkCHOv93Osfuhtb4MJlGUSBXlSXORAGc3Oo7agpLpPDh8+5claPg02+Tlvzfd7VNyWnY5V93Jk7flWS/tB0esV51JuEPRbZp1D0GfdyvMOG9+kCv0I/CJMCb0i4CLCfIuVNWy/6U6ff14NbX2U4HxADKOE7cTc3525uU/Ix0xBdvNcSuCVDXf//vuuGtams4/esD27AK4IzCRZhzBZwI+T6KDui32ybXLXQnkSd9s33Q/ZEpEJMqdvkjEcyRnXrbL9KJemVoe9Hy1rxDvCEGcss8F5748oB5RRDEwKOiArb32NtMoZcenABW0n7LRFRAfw5gXeR68C+x8IXinSPwiQQ17VX7+Jbmqt7HXg/mW146jD03oa8Nd3QP0U7v5yIKsxLbTRSQDcCa8dc20XeMNmPVo0e1f90GlPgUW7R1wvwYcBDwbXqAXEtok8zUdSwP8rgw6OAz9IdjdNgTArbxJx8Am5av+6/gmeNfPC/spY/SllcT6hdE8ZXxSlLSQPvnKm6NfCZzeqcK/hcuk23xSrj+nEKo4gFUw+87xPy2EEF8wyspAHe+qMtDfnc2AJy+useNh30XPefzsH9WOrMfFad/f6c+bAZ7Dv0OkpWJ+DBsY26TvO2GlRz4soRmTmdTeHSLc4Qky32UWjXN6n19MsJTlnnHZ1P5ICv+vxzDh7w/EOEK5eR8ZIG0Vux0ATPDfBMt+ynfbz5XrjcezqL0BfLP/cfqFsYJrBXeR5tZI4eJuR4Jjo7bXX7rGe1jMsWuDwhL12RN9jD708e2ZOHsOK7Xvarso2+AHdklANWcsm2Dv7cJPAy4WLvaWCrzLg0N6wcNN6TH89SufxfneaidmqkDrPjxafJ4u/OsI6v2YrMstvTLooLy2Pwd6HkM84i+YCJ4Gyv/TMnoyQaUIfm3G5ucBYdljd4l9PHhErI62MxdKvCNHvg/UQS1clMhzJjB71TTm3Vr1xpF/2Ho/IxPG+f8yV2tgsc7djH807vz3kzMKe48V2zP/FoB/i5AKxjlZZQsAe/qlA48aJO8L4tnPWCd9TX2LsE+IM/NVDqGeIxfeGNsvOAJrINdfS93pJb1QZz4sJ3yNeclOpgDy7n7DkbeK+kN+ie9pDRloPtd3IQverW6PH7iK1pTlC/raWoL4X85dnP83ou+B1B0cY3atfuefN940NkVLp+O4efy4nbgA9nqUJ+k4D9Ug4pp48ClX/eatQ8GvaWtg1wcX3IOrIp+Ey1xfzCjX5Kt376GpehePVwejwnRbUbh6Ptr055AH+UxSTeVdU3nimrDM2mMNRJs4+Fm8aqdsSKA6aEGW+irT3mFrcTMUlKxj3t9g+cnSm7qOc5+6m67yUGbPqKUcDhsgLejw4ilrSNHW/9jbKAYUkd84BY1SJuytUr1f51Zc5KwB2brI+8io//9LxCAXt2failUiL9A3HeTrBmkFpqVdgfV7793RsuMPi3WKjdKf3j6Ey4sRO455AaHny4DO8ng0jBn3/n1TE/sEds2Hsr4EgQMeEMGPR80tE553e2YxvRNfxEBE0GFcD7GhNLv7j5DdLkdymMnQXxDTCHOpF4RYGzSeM3ca/9cvux4nDOT6HZyUG9pSHr4owN5y37Qs9IvkTAT/gN9sm3IBBrTHOBHLFl3Li1NQYJD17zKTlq3AEvwHkF9OV2juidA/y3sCEWWhHEffaVIc4yI+5D7Inel+LvPREkKTqzl92HW8tGof/HwWLzcw4ea2PbxuG82Zf/b73KfuaaT29MRnvG9/Z5Z7C3R6LGELUjK2nVXG/1d8LZsTbmlAb6Vtlq1ng2+sKSwQh5ln1WhqQn0RDgR6gLlciuOdFMP7nHC4tWvPZEOPcJ8HjeK8hhZkhd/SgdOK9tdFGww9mis4PVtIVstinkRtaLoETOS8gJclXOck2Bq07FU/9tvFGpNrxtkjQcQ9XWr/VanVEnWvhJxVlBH3+up3RKeC5Ymes9vMedCFGnCfLiYx2VLeYriD9yJPXCNlhHlsb4ghRLif1SW3qUQeBV6RSycM6w9QbwovnFbJlYyXBStTO/PblBSGL4/gNgu8cZzsnR9XGuNqwX8w6YHZ7LJLAmMzUEHW1L0U/vOBsNPOOdLrUb83qpt8GVyU8bcu1WD798Gd6X7yUd8bPLFPKdZpkZG2X8XgEqKLPGSUWyAB+5nbaAidOpEJfpJ12A57rmAbErES7gSzlFgLVC9DLgFnBm4M+Zs77CmQfc3P1qO3MeLFmrR8ntJOYsRYmNikTfnEdKheR+luaY5D7qZd9PG8jBgJvwWcU2Iqw3m9RZ2+h/jLonddbcCqsJz90E+Uvsita4pVy9uEPPFvJ52pkp43ZRAqopt3SmAufPdIE+00kHxDAXOK+IPS/YEyiBLxTFgJrT9b2W5ADnFXL//pZiLaQT6Tkwn2mwt8t/WoGvHpi+lJPQ1tQ/+/gHDTtwwtrIrE0DcZte4qVeVBal9PFtwVoG8O7KZMG+EFUW3XwoFg35gIZxrwbaebCfxwPvilWF/t6d96V69fKvBL5lKwW5+dxZN8hZseybq7LWlnDpQYoCcJA5cvQVIwlgHwJ8SBTVZv2V9fsFsFd/dKyH6jl6fXknAR/mNqMIKORggrz0Jw68lzccYdbKYf04FcMoE0fNlfgEPmywVns57+CsbmkDeMdFbCnCkZ8CEdRS3I7WN2A6kzw1BDtzhZhlxa3uYmBB1Zb6Ouc3tYty5rLX/VeaWXuvzFRULT76wISoaRd3NBGL2R4gv2vjPz1ck3xs422w1DuzSsQ/fTAZzI/MYgF31Q7yIGBw1YiWfqE/NXPWDnP+2BTw1Ku+oRzUghCSm6dWenQKSRRbJC3ccXsWNZAFG9Y4BuypnaPjOXGrBhWu5zOfkxRyq9wx5ANL5Yog7ZqUwZlIuPGAx9DajgED+L+6IlLUjxTiMzVKxB2JlA0guosEnJfDWahN2aqtCqMSZyjE1ldl2Hw9vVqyBnguy4G/ORBfyrjDeyVuVTmsl7TufPG/eGAW6jYvX87olK4b1mM9RL2VmbZTztzq2bOrltQyz3kUONtfgBtaKcxPepl6uu3uZ26uUrJTnfttgfruixlQM77a/Lml/2ot+eEBfEF8/s+nmNv9KVgncbpOtRhHmYnv0kF/Ir1nw9hqC3V9YpfvPi3Vk553wM3dRhV5vap6lWr0jTX+RoedI7vxnaKOMZ98BZixcoTHwtWrVtkDnn+vN39W1AkecUAgZolHukRebGqIGfYVvgXwyXqAvQyBFGtftqGLj31R74mFMYO9FSI6aYcWwI9Qo+YKMbCM7dEthsSR2S8WTZlI7lluRAIx/RRQ9Ey3BdfvWS7w7iCtYM/VTkPRi4AFhLFAlyJoNoATGJyVIJHrArD/dG4jgF2+OWW+xwCHAQa6MqPfUI/v1auvu4/r0W4AzXh33TcRysnGZGwriwRM1PeDMwlhj025IzPstVPRfriAtDJNyO3csZIF4yFOv1flFif3gWtzc/lPx/Qd8rCXDuNLQ7IEjrM7b5OVMtxJMsA5Vj0zoVYZ+j3tjF1nbCw69VVun3eEfhokNu0bWWX8qkJ9qncignem4O9S+H0/aWBZsLa3dDfKwkSfkNN+vZ7jgfgnqaL08QfwRnFTC511Du8bcG0MWALjYdlqOKuiS7qIx22zEoQ4p13gCT497ydPOxVxm5zgu1D/lSl7LID33M5EHLhQr33olDsftrIAZt6ghwOkDJYcHfa8q4YYAlhbeLEEjhjG6Pc786W+A26NcNQzfqy/ZQ77Ts4c4te1HFDHZN4lwn+jwZSJAWNE8+JfP7QF3m8Ixln3PJhDyT+dM84qGLIIvrJpqL4LZ/0N3HMs80+cdWpKTjZUjF8QP9+OVmPpbXeDPalUG6zgmW71oPa0nyCm+VFt0VctZVuHcCZy4LBmxD4ZNxnGlQzEneXFnQ6ow/nUAA3qXFwLbitJkhVgmCQB/Im9AAlqkBF9hJx9ygCvyL64lQvwg5w5eGbjLXv1R0XcMk+/FIjrAvDaSHtyR+0tHT7riUuZj0HVFivAAFjrssWyXwD3deeeujz09qwtsM+jSHsFuIleaDpFahBNbRESy8Q6uL89gdsqtHN4T2+noNkLmwjFvUZwew8caJAQcwqX9XEwK02aB2CsLw58F/DQVwV7Dc65w23uVBkZAXMA3/Hf4Dy+yaCwgVw8qpDe4O9eNfM8cxU7OOtPCfmzWoidOvqYZj76N3jlDlgt4EHZqQmwQl63waJt360Adxwc1WSht+Lo6ZY3gBlxrsPfaogT6G8NeL+vnKjA+cT/vsvBfjqIO+9MkHfardFLeKxcWojBjJmj7hCDrX+6E/WKBvY3RHj0q90Bnw6wbyMd6AnzWdHbq9qlWWnDd4oxqR0SCIhjzP31or2kvAEMqJrYRS5nuSesIS979wCc5LjEnnaiz9I2FnCnVFgzPMf09EVQOAfcoW/gesMMWYmeoibFD4V1lHJCH+pNtXy4WfurqSuAE6ZxTnLeTRK9nuVOJIApb8fFPOCP0XJ/5f18jQW5PnXnHmtfhzP6S1scMHYtxwfk+aQOUGt2b2VLMGeZeQB289jC7NJZv+LGkLhjjJiOckDhQr/BswCGEcAF2JR2wlLhjDXwuQxmgjNZbGj8M2COGPhLYo8Uzrkleu8rXvRnzOk27ccTcKeRw35LWpZAXn/Nm4fop1YI8i0y2hS9Xglr2pw269P5sk6w2zDuIZ4OIi/dJobnWWWX71WG7qYO8GTgyieB90bRrLO/N2XtbdTXY7BHT+TjLvrv6yl/zVZM/GjHK8Wb9LTzY2pNO8Dhc7oLrsfHlEqca1r2HnBOT4knX3mvFsa0GwBXYoAXsEdczGII7ui9fjbNMc4h/xjlcPS/EqhJ+Bs3RGbvsW78fm4/Hqy3ZvhMAlzgq+DcioXfUOIPkOd/yiBZjgvzn57lW2PHzn5Jt4EFzz9kxDfVEgFmNR2cLylb7Fkc39FPHPP5b00vI0cp41UJbz0O+Aw8NFHhOCvAJad8lHi3WvO9p8LurgKPHm32fh5im6Pu8GWtjgvpq26d0mFEb4OnJiWg8Emna+foxhCLf3WkD6IXBuK1dZKfq6MruvNWfJUDHSFX+6ilWMvOhljYVvzjXgL2OMNaAnY6nUlgZ914PGf7O+u6uRiiS2lEWrl8KfLxvchNLkKTlvbrPmUipS2aKoPz3NLmCHmnyBsb8v2NdSqSHX3DXn/A9vtqMLlqKay5OmEdu871NwuMhz1phZXYFaf5ue8WnatPJVkC8Syo0j+r4//6zA9qx07J4icZoR3qddRCbYEPbwDTk/qxPlY9pbSbH8xBLyuDebgrWw5cLvo6D5EbSyqoYJMk0cjc0ZMisMreTMLQO88jKdyXx9O3fbBhuyykANzon7fNSnN7VeWkLEMbOFkzaJvFqvPKdLdfzobdk95C78N7jf4Ntu8nhsbcBBZg7VsJvIBZ0+eZr6+UdDecvwZs8tKCe0fd9jQwBi98lA0EdyH8nNVu6kxOhb0xlhprh34xtxkKaTeK3yGXTMDD7XsF2JLCucg4x/6DJQ26Fc31rZTr4ETICHkF/eReedmLs8RCP9GyJ7vEQV1Q9Au1b7FjT3EwccBuo7C+7VLoFP1XYm67ac4g336uaC/e4D9hreyIbpuu7JMFsskKfvsF1vL/qPq27kZ1pdu/xMVktB+bGIGxEUHoAnoD5BECAhOb2Jhff0ru7azvPOyxdqfTBkt1mVOqmkVLx9uk6HcuzFveby5NoKzMJSJ3bAE2Z6jgzCNNGJ/OTRGXTTDHtbO5qGEyZ0Xw3hCniuYGPCgiAzmWvWfeZUlE/zgNwQW7ExaMgEcC7kPqxWFFhWKj8ckgZ3pm3mw54q5yMafA0ZLhvHJAHTTytRiMJrW3b4brBmz1YuZIUFvnDdu+Y5tMYM/fieZHUQBmHuQbYIsUchrJe/3C2MUpnL/K0S8yu7dPqK2awKONsxwB56S5ZQoKm0vmeEG+i78AUxhb/TqxflMH8TcBLilEc+cIX7ij3yq2dSG/v2e8nSWHfI1UVK6Ivs7ZSCFj1fmwjnbGh2WHd3+tCjhfwto2D2ZTm5M1HM9Nf16YqagJPZ24uDU9mGUPMXEHOZaqAZC0VzLuEhSbdpaODMvCabmpivaVU9AJOAi1zhbpZ55bvc26FtVIH3PgvTWbb+DDjNr4C/DPjQ/A/S2wSsc75CECfCU94JvwHfm95HurFrOTMnynw9KeggXwcKtJ0a+vmsATbxPAJRsZlg7d4QQwODH7A2u5qS29MrdxFY8nOsxhTgMzT9D4bppGz9nt5xM19SDkQGkGsb09EIpiEdi6QvKqQp6cuvZ1tuznIaxthELAqBvWS3NUArZytgVgm9qx7hDbkpKRc0b9N44ac0d25z0GO0Gwbud7jtRD9RNgAmL28iqAD4NdZUazNC1kzvvfeTfliXlm5vFFWWDHHPE6mCHib6/Aaruj3VxkjzdlH99zQe7g27hadQx5PT8B/z4NnmZCCcrkEWI752JGkKNjyWBtmMH28zuPfvv1rINNLlnPVh6hVI4xY7v4h/elm3CjR48qsK8Ls7nHrOmjovK74dOdW9NXUsToYGebKmqJmbVUa3msEXvQwasAD1Wwfo8k5N9HyHOvGjPY74d4334nwr5WvIF4AZkE1hi4lPGfQ04JEcHWy9yWnXr9Ji3b5wXgWltexY4nnMu8DhozU2dDACsD94a9UscTwu+nvv0mAv83z3eHQzr+vVFHwd5wwpxtKN+3t1q0MynUnO4gj+Rbq7bsRYQqU6FNmmC7aRhOAJfd+RjvYb02xNlu8nDaqMecVYXRqt3cBWoBe+jX3WgHuMFvbF+k7zMhO4jBYWvjHiWAzdtKl85p0B+l+2kB3w4h79lgn9c6anPI17mxpbIjNC3IDeuzA3jsefctOHApwClq2C/UzV54fkMFKY6PP4vpC6ZrHJFo0qcwtvHIb03kF5KjxfD62tVzCSE2H0lK7H4hloJcGlt89K818ByIUQ68Z9YYiwxKtwScTgpIH4X/Ot9YU+D63OhcW0o3nbzVUX+RHHts1JKG7S3fGX3K1i+dz8ez1rrn0pwl0o5cVIEYYNCEslZkA4DFALC9idcsllmhv+sOMRG2r/peT0Soh+96T81diOjXw6rfIBck2RrbQthadioko/QT3nZ0bK/S4r4Iien7Bh6Kbdhnn7FpkgxytAVQiZUPZrQv/s1ccBrHRr+41yLgH9MbcEmSmdl1Q0skAv68agv4+b4Klak3LxNruzZW3D59PcCwtBAzOe7E13ZVg80ayGF1ZDpvdGVmMYrR1CrYm0T7r5xiNPr4M6fsynvpTgGN2ikTZibX3VXB9AM8syRCUxYEN0VjH/DSnbOrlYTLzCIfExt5tSCAgfHuFBDBWExIDzy5lx8iigGC+y/MliiB8cEFHOqaGVBKioBcT6ItGhuNDHCyGrQrLe9NaLkHu+ghLtwpAhy5i+1kFxuNzHNVxHETaifXU5rBZ5iZrrAm3yy42jyYr//xFC+HRAyx7K/b7IjIisRJIYaTcJumLFuOdvuWO5qqAvJl115pIX/Y2O7yMLk1nd4bXioEWZMB/K9oo6xoXYNfID8xwVun7JpfzbTS6AWsxGhFdFXRuzRSO2nNx4zhMaPtc06LDO+mXiuQDu7q8XMD7wppGd5boKFhbYk7tdA1WxshTZ8VqRDaV1Zpw9oY/crXPI4HYMdJ8r0L31ueCjI3wx/gsdulEjKlBZG10Z9FfIEcdYX1wmxEKTDbC8S/AOL2HQOWYVFyN7pIJGgtMx+EBapLBuuRR/6lcuPXGaxXDjIHH5NYLFewX94I2+WW4YbnDcRuwHf4COvsUkDDMmr3J1E+Gld7lfEG9++jCtB8ymc7D2NSMTOziN+4Nv7YvmXMBnIiX7WOaVbgSnHp1lSd+St/ib25d7s9e9Tt8paI8yqH7Zcq2rW01HfFgdMaLYs+cGvA7eUaf5COl5TrlQZXpyr4FQMHa0aI9rx89QW8KcCXgmWO7J+aWQsf0MO8m9FBgHwN9qcz7izg282Cu8TJuszD3GdJAGtM/z5kJL/qVYfAp/dgqzEZmS17eSFOb2aGFxJs+VWzdLA/gXvM+BS2gDdiy/SFkODPcmLT2ETA70W84RwZnXiUrP4hGfVbIwBjFs/zRISZqSs1Wkf7h4T35oGGmE1GzLbE6Dxk3e8MNUcF5EFCnJGCFAbTnoZpACx0Idp3cgv7ytpfKmsLfBpsctAXM6sUsNUHA85QI0mzJ2aYGNjKOwm9GxlsDrlMJKiFtfUjWKPX+UZ84pgC9oHPlgMdMNgNeTc8xeAL1n2uaSjNPWORrW3HIP8zIRnp7Y8EKVGjKRZiO4FtYjbYP7WtRKbJtXTVWQK+B45jah5+tUyPdgB4Sb2bft2UJt4pShzAWzNdIT+5yugq36rCP1P378KAQ2Q2FqJXdxFaTg7PaZi+iV38QZE65MNylF1wqTp9bZx2wW6cmhz0Oluuh41jtDRYETxyG+c8sIuqUAWx9Vfmart2fRdbqgfuFjdCZ9TBmIcceDMZCTL3KO0RMNyhCua1cvi7stAsbUUTa2bwvZz0fXt/nVUyB2LMIPeZhb0UUC0fzeRUOZPRb/OuNTpLpfE3bgHGDcieCvneAJ5mlhfxAjhdj+za6A4Bv8/t6ZpY9sqcPcSMxq7EsuOO/TrTkyaeNQLikuOFLJTnzCEcuCUlLl+wmKJM/OMdpZi6yujROPqoOm3m3HaUkuQUtMAlUZGZXjoA9s0oIa2g9ehOhk9MFcIvrpeXArHM5pCbORamdpDN//iXberV5oqEC89hFWVkxrtP77TTA2HZyvuYJv0kpZg4vAfPHVPfO10qFl+qfv4BbhEe3WSB3PbyL+D26ij4cy5Am6B4c7SkJ3fkzpiZe2nwvPoQIcaQ63fShtW10ApcBzidP4A9f2AehzWbsspClwS4EbW24LPthjqeOWPZ8E6/uF5InvjueknZHANu9YB/Z6edn7OBJLhrAIcpUq3JpnHbLAna9FS0Hxy4TA4ZDjDArbTI8STUIrr4xp3tkRbxT2MBFrZsU4t2Vky+/Eskj6tNgjg+uDJpeuaU/fV2cMie9XpI8nmfRtxTrP1SgVrSsHxUjxm4OSogD7yX/f2eiSmoLM/YOFifND32CeCPuFohJ/fevUL8tYYfYsBv+VPfWL8bfEkAj3JhH0Qvje7STyLwlQMfh1jnm9pw6agz7KNN3MmW0dQ14fydMlPHl3lqBX5BWwQYL65tbfrBzDzvV04ZKPtcD9Z8AOz9VsP6iGHBmaWPjAH+BT5XuwhsZePBftxqwNZpxC6lCMBazBmqup2MHitwgAq1KWX8vXzMU4KkB99nqWz0nrHf2R8uGzYXIeaIcT+td8/ZLpEYiN24ewd4xSET9neC0JkFOGRMQTxV/NTJvNnFMXCwCvb4XovkVveQRyEHVA4uqw7PXFwfsMYbssrfGRlyMHdIylUuIorZwPE15EZ9lmYGq2NTGmy7f3a1TKZ/jLioZaPPqpW7audT5u5tZcsy6/yecKBDQwv/JoaPUQKwVpiMv2fmheFiPNIdEW1GKV+PFkcQq0pAoGelyRHypyuRfsvDxT1a94WKiQIvcRK3XxmVGzOnqSnA/0X8pizNZVHeTkWcQZx6b6I2pMH038wFR5cnqibAvDbgani2JIBvRyW2H1jwtwZshznLFb7FWqFkY+baQaZ1adGslVb3JPy0gbudWRf7AqE0NzOpbO0DB5wqZrQ321dvYFh+bV3gqaZW3OjBtmLYGm4XGw0P6eqA7dB0XPE9iRqHa36sqA95U4W5mL8hjmM8mDwA5B8lgLJQkvUecFhZKts3dQM9jeLudV/JXf9es7grbQTIBt04a2wcQHwt4tBolCZiXsnI31TXeBB3g/zramFb74jbJmKEGBTGBcThD7D1smL2IQm4dRr1nK/ttXJmX0W/nOjIBlSaOwLwhRtx4w2mOsa2bwHGcYBT+hD/r3mPxszc4fbwbN7GzAJewGNA4vxxGkia7Nrv0yADwDtHcIFQiHZPAjvI1r+mPu2FD1tsI5+tvjmnOigbbU69CkXhh4AK78kIPsL5vSpkDH6w4+HZ4hZwYYcgZaswEZktqSL5MLuVZbSlPGAwccACayMY8QU82GiOvri5mbdROs/676SOMIL8UpDAi5NAy9rpHaWZU4+8q4JPWxoNYOD4dSdLXkjcrPwHjJud6OedBsDj+nmS8HxiAb4JgAOJrfnf646jzIXKJIV43AOTdHVCmHdkDhLcDlZsxZyDL4qB52KY5iQqL0l/t9Xw58JYuaRBDA62PZtcemLtLQ2msX72U+tLbeo9OviZsF/ziYA7ap/3icf6+d3oUGQD2BbFKeCyFbg/5CGwX1ZuzFzHhnkM8phFhxkII96fdsArQuVhxGexk6sqIGn0qm36eaOQBn7dbI6O/bLDuwgwPGvGEsFe5/Oo7HhNvv4YnTSSaX93tFoMWGWpULwn/TaphnloIEYwQBsn3UanEeIIcMvn9wCso/oebHO5nXo74CZ38uR1Pv+oXOaJEDhMH08C8N0J8ioNFTus2aNcVSlDfK8R8O6CLCKYu1PBj2nkXwETfwNv+ql63pFwQlQ0NrdlKLXeU6fNjs6fFf5cqED+1oqkkfyhvX5/nvmEbQRrUpQF1rmZeRTaN27jH6FxAvwvOGm/Ba7xxa2pAtbnM67PgPdmo32fB5jCu3b1Sn6Yi/1TEAMusOxTxF/95kwGm01SoD4fOMfD9ih7nggWGzXyTePEInO2wszwqSgC7D9x+POm5sw5rP6HGidzZ7Y57bCQYftu9L4ZQ5762gbA2ezKVW9J8VsfdTbnFJx9gr2Y9f6zJs7UM3M/wEpzrmm0OO/E7m85kh/KNv13EKt2CIFv7xkjK2DmUURgx4HRWAU+NgC96jSue/LAhR+paHrl5Qj4/BfEGwK8oTwNpf3vLAzv+UjO1Gh37GQAMQ4rd1qVPl+ajmd1JAGPKVgHnHAHLH6HILf0DxHGSUIx0P/pCH6IG2f7kYHtvHBULVD/P96OhNEzGwMPYvEjH7Y3OZYXwEnHfCBffEXnqiPvjVa7UwgxLdAp8K5dDnwEv89pNcQp8KsS8AbBTy2YzwVi2BsW6OVfvtxhyHuwj3QPsUvRGrWmYzej2n807zNghv09DY3+kqldwBvctxXkrBhya1BFwY1/Xc2MrlQOeIacR7KOnKtAvSeCVLzA3sE5v85gL9jRdkXjuSzaEGKL5mJJyi5GuUumOghsg2UAR79n+UzYinzAi+9G16zi54dkrW66+AM/tobPZBXTWT5gnI3lHbBxVgOHTkP9OnPYwJ73MijvsJeIUj9pOrIDzPVoBn7AVgsRl/xUgw3YMHngqH3qgAJ/fku40fbhM9jPxdhGNbRRRgn4+0KAgzFcYOvUBXfM4t+5t2UR2DW8Zx3OE2AFnA2APcF6uIvY0W31qfu0gLtNCeRM+dQLiIGLeIAfedlwVQLuBvocM8Czd84waaw/91LzNx5MhtePFUMvfVGm+m2WQ4wB7vhVmb7ZThreO1er/MofW/N5N1FMb2C/XKH4iZMhVhVYLJHgmCVg03kA+In795STBx/iKhnJUrE/HttxnQn0wr3czK1UYBtmzlw+thH4SUZFW8Jnnnm4mLPYGO/INw/nDbVwnJs4Hk6ZshZxQsSo9mwAC5nzs3cuPHnSuiKccza2RW4b/s1e2hHGXyLAXHv6/mfTDHejw5nW7t6C738uh60N3w/sFx+p3bsNYHzFpUccrE8h/hLB3cGr3wPHfa+DrbkLTyCvusApFsi3Sx0iH/b3FTd2Rr8jszyc7OJeDfEtBc6CQ7ke3OxxdGRVDUZtWA0HqzR9A9esn9I00FeJ9nca2jMVhvtITgrMAAesZrYDdUhVQ+43enH/nc9fbcz1IL7mczIY3TB0Nmfi4Kc9CecZMENcuf6h7vQhRaTKe/D9Tn6Y89yc6aoKtveDHd9Z7+254z2qnS5OKP6BHCZltF8yob9rtn3pi36Dz+dVPgfMPTsKMC/pWqvmUw48+VYP0wfl8cZowmDzzAA4C1cXXviPumuDKti4p0F9AM5+nIBCQ/bAJDC9Lqji1vNcNKT2Lz70OORHwDrfkGM/CHwbM0/vpFXLd7gH37frfptWXXlT/eau+gXBvz0AV52JRjcyIosXSDeA9Z5a9F37Ue98lvf8h1KpYU1aMf7qz7cEBfA9kKkhe2O2yiBHbXLdXvCOY7LqD+BfRR3GvOSlg0UCOArDM8oLpC6HRYHD3GmG9/069Vsz7/eHD8mKHYhYK/pQO5TR//qJJIn0NTfaLjaqamtxwRbOHD3PmhwGcbxmXlUD9zGcypydk1HFgMmPYD9OsiuNBt5X8thqLLJLCkgvBS6DgefWuqXcQfdm5796YfxcaytjiXOwzDrISojpLY8Qh/1bxNcf8ON//As4x4jz2cwdSkkBGDGwN1j7kaAoMmt2WFFWr+jQhB6qOkDjw34BPHJgRRv81vagKTK6l6z4ez+upscei0qfN5A7f4g1C1ZMAUb+Nw7tiMHengT/IAPE/LX94bbyG6u/l3b5ACwSG81HyJ/e0fbfcsCIrGfmeceXzfPAaBMD6mbmXGYbJgEpm2B5ZNbznOaYF7EHsYnUwP0hZm5UD1xM7F3V/TWzS+1yDFzWJRu6xpry5HYCDtTo6YER4tmaPI6rf/tdQ8v0k2PznmdjQ6LfX2iA3lmx90p7SjK+v9TB+SJ2+grczMznzhRghqO1PLBb3pOuXKXgEelL2Ov4Wgpl50b7Y8Qh8KOZ5L+9S2/g42+QUx6wl8v/OCs7cc14B9gXfJf1WuB8e1BCJaVYLinSG+BfkENsW3Rm3mkcZjw2tc3vZo6F2ule7AIzt9zw5XPF+K9OIPAA3OzQB2WZQ0f0k4T4SILNmtFP9zROZnbiqFb1Jo1eTag7Uw9letOSAOlEY1aPn3bC+fiPtzDb1HQTYbQrrHsJNK7s5YtXViREXxAbXGrZnFl/bo2ZVeZy+JQJJ0NbAM6mNIL42v21mQNxMNA3POI3EpxXFUmCQ7yv9XQ2ug1NlAF20l3dA6bi/iIdtho7fp055Hy6ZhqwQ883nCEzh2Mj2faRdwjnZiaNi8RTn1PM7GRsHNY/6eU9FwuSKzJ3T09eWbsaohL+oWxzh/UZyk7lNGix5L/nNpEszg7EFjMbl0JuOALXeepsAlargD/bvOgX7ixYDM/5o1kT2HOuJWLMfpewTjlSPcShNB+WD9Xz/akg+5pzJ4M4UBWYKHZ/1aUY/4vkyu6NlpsK3t/MxVK83RhtS+B3lcl9tPCvgEUglpMWfu+YB/bzvoTSOK0MHx1mG/Kk6VG8w3qG7AtwkMZVDrg1jXDx4nq5MLMBSVeHS5vudMhYAnFkWurC6BDtPeB5ZnYOxHj1lQj+hR37q7Hld2VqGgBZZ0aXgbY9cFvJOGK4aw02mqqdfGvALgC/vc5gf+A5pnYwzampezN3z83lxA3OwyXp8ZUYrVGKiszSgJPafR14XjbIiofozMXkGy0ic7fNNeBxpIh0zncWzHnj+puqkxeIla/6qA1wrjvkThtH8UWJzf3E1DEXHuPDnwXixZU+cSG5AqZNAUcyNk77alQfmEIOEosHmAkxx/QhylZx7iVaeTSYM7CNKrekPLrqFTcACXn/u6N95p/EnC9Bjv8wfSdVAHw4337B/q4HSx8Bf7i5IL3pNaMhjhnE5srMOCz+Lk0R3IBv2OC/gg3ypy60nVu9I8L+dcdxSYv4DTDeg/bTvQlhz62FmhyPh37DC33ONZ5z52nzBeDOjQqmd+BgKWPLvXEkTcFuiBWsLFDx0fp0wBc/alv60plmFmBM7Ph1d1MpR/Y0XD5O7H6RX7PRqZWAeR+1HRtduKmhxEmKdjRzTbKC+JmZg6qRr4opOa7aOj7+POiA7dPTTjNHoPhYAY4190PAVz/YTr348pIAZ6lCG2ImYOq+NfdhSQaYrO6QqZlICUVm324nnj2qlThNZOb4xeYum1TDtDe+WzJCSgGc1NQjRXrmAzkom3wko2+0ZF73lakI4hX839TXga+Dv1g6rsyZQgT+UUym562sv7bfEnAuR5OW77NVjpA/ds2tsfUi/+nZTFIjXruKUZeBD/3TkyUIeN373L1yCu2DhVrnR8ZlW6EnRj4AR9tQ96/RPsHARzbgSwsP/uGi51n0oHkVeB85JZXxIcHkhTuTTd1mxRHOpZkHEHhjHfUbiI2vWhEnNT5jedfa5sdKqx+l1Rn4Gvipl9EBMKobG6wIMWnZQd5ayJhZ1bDlNTO65u2l7ONWIf5d6YlU/YSzou2SfOb1QDxaBG7dT6/+ZVhrcz7sXSoHd8mAZfm13Ysi3mdGvziw7uYugUEiqGxdpIX8BpxwqHbJkvfNjYRTQAtk5z27iHBzOzqtcwqkALwbYGE0HlCZWb/9sH25tozt0CGHXQO/N1o6Y/nsGUY54AeHFcr/d8YAHNdo0jFt09CTNfVlWmjAW88ZUBMr/KnmxJNDu5PhcmueXH9bJt2rZmmmdTHtmzCza8jvpdveAHPFMtSXPEB9jciRuNwqC21q9Npkt19wZ2af6R5y4pgifwYkmOXWdDkhPeTD1TvBukirPSqE2hpxWfXz60wPQy7AlJm72PhickZl2bZyYsrX7GZmcCgLSYjDG8ITB1sEoMUkGualsMeHTCd3VZRLzbgLuBwdnYk0Yr79Lw45uWVD3PydGWTmcusmxPnJfAeNXHP2d4rkB8+3EYv8zUkoBnm0Iu+zk7zPdkMVA3+iym4/Uj7t8SoBP8K/6UlRarLjDofYMM/MNlouyitX/3Uu+gO4dgI+ZdUjNqoeDg3ic71CmGTmbGThtbPsagcHTTAjosl8GoG+j9rocQUU+RHsZ8R6GZIC4mCfPO/0U4GDpy6atc2bMPmdXXUK8FxbGDhlcwHfM9XXwL+Vn7vPe1aDIwRzJgrv3MK73oljH/EOQ9D83BiNCdHFNjHaOs6km5XY+cqTukAS+LDRHHVk8MqV84Y7MyxqeyRoegC//cgYcqmTmXqykLh6n/fTerA/LwmD3I0Mx1FmHnGZCfx96q8Ls7UPaztzsT1jhDckXA6p8IiiHOK5xlQsrzUsKWAfEmKsrG2Q7Hpb9sSV1nKRPW+59nvg7g/IXe9YE1PTbssO29jaesAnA/wF/DvYLmADd2HwXAG40vQv078mzpiZAOcGTb93N1XRWMnKnTrimAvgUyNKAY+H5P2PuVcoJZU+2EnKwn9nkQ07b04DvH+kgbUubso1TcPJM1g25eTYIPD79e8t6bBVMg4xKrB+8SH4Aed4BM4WMje+5cZPnO0D8jMz44Dzr22K+/NDhtuicv69C9jaTVpenO+4nfP2G9aZNZY3caF38Ny3um9bbBNIvMpVa/v2ilFk/GtxdrYyWKPK4CE72OSRnwGf7OFzw9Ky3RPbe7CWU22rCaP4XDq20c73gPcdwfo3EngNNnN1mGWZ+S1gaxPg5DEzeoDh8rLDten2XgX8ttnpfb1qW+38D4gz53SnbOBYHRYeOPbe7Mss9LSpmd5UkX7Lem+H1/gBnB5AXebxHh2qMAGuSb6yYToTyDMJw1lmbV+9t+DvLc9cM/+v3EBMW9QuNvnoO3cSpxnmHe3jPnN9QJfP2oQNt5Z3GXgQv3FEHbY0Zv4yYEUe2hVgm6WmAdgJGmTXePDcXjr2b59vLuwHifxcIlTAvrYcxV+ZmUtB8Vcy8LYK8A/Y2VIP10dmTyFgwykNY7cO73bZtxG15m/OZog+Uw4463xwMxuz9of+q3POYL2+X/fmmQV8Rszv5qwS4uE1f8yVCCDvc2mL4Qo2gM5Zv3WarvR4FHiStx9Jl91o1+ZcYMgLclSWchPdA+6Y5MmcR/faOg1PXPZerX784pWqt+9ybaOM48VgypTJkbJpwDuflzYhDeVXyuIZ4lpQrZpIyGnNcHdSjh9qIKLuLfckJsDaatOgxG7ge8G6fACuKGqnPUP++q1zMLPUc6M5omOtIn2EuI7gfQ9JsJ04s0lixz3wM7+GmJVZqAN8A7g6AX6t19qabewCw+6XB13bgRQt8Dm8Bw4/y/H8yLk+NOPvDNBbMuI2cTnOx3aod21QD/au5IDFrbZIduQthZ9lgFfzXqWSthDvtA/x5xs4xSIAqqgB+IGQP3JMHomTWBh9OnXw51EC9+aAmUx+/d+zFuBMsoomz9Tzcgtyj5iOZfd5OfXxoS6aDS3iNI1UkNG4r+wJV495AI50SYz92hpykKnBnHzgMhYLlxGwRitMT0U4H4ErjfXwGw85HryisbFHw/ghgwXekZiZRDbgP4YH8k4L7uX2VEH8fkvWtsqG7Sj0pyVhv/LOn0hgp7U9XXM2V3WwvZv7Z9nxFvb72ITkWUvyv2c9//+pIylgmEJqnmHdMgqYXDqB0RnigDkO4mt2at3b6c4fcRfPJ8AlCZoSovVKUbMYHQWsp6gGXGV6Muuu3XMWZ7jA/zce3klnznriBWIXAGN0AJ5mNUhump38Yba/T6zSkkybc/D0RFstzFmYZvcU4beEtsdy1VESkn1O/bt01C4P4r7ecXOfW54GeUjC+YVtAsr9UfQTPXH1qIH7g/9yihDOKOANWwPeUxvImbjZcZlCvDg6KnvWl5g7eAb25ga33P57a5zNLYnOz7tSwJFums8/lVtaSch/53EAlljTHU7lyJbTsL1kg44YxFwGfLFxNeBau6Jia6tVx4oqSYQ6VO9/HgT2i68x2KiZL9badIdGbslLzXFBzb3WAAa/Gs2U6VUvypJV7SrgUcmwX+uxtE9f8wz2PuXhHmLE3wdbJU4Dm2RrsFHO1q4EqhJm+hr4sRzNHXFszrWF6PxvrvUmY0vSaLyhwfYmROvw7teXC/Afl0bSP6x6T9b4yIP9/ST4BUef7rNeSbQTYPt7xScpxtaXFN1P4dl51vUU6MoKFChbB5nWMdlBjNuRkmkZAaadTkN8rxF6cT2JxXZmPN6xoiWK4zSzS5sFOpQh5E9E4sz2P7Kexzl75nRHUc1KxxNgD2XCf8/rRTP6ds6uF6N3BBjebZzMO0JMUVT+zhnhKz42wx83+ZoPwMM/KAWyLbAFPOS9GcCnO+D/nV4hF14MZ1admYMnD00Qf1Tomc88wckid/6s1nh/eGxX8jVTo22RjHrPwvh1JxU1Hf6AuNvBu2zMvExBgZ+Bj0JOH3nfcsgtsg5MPpSzwbeA503dxWh6DpgTMwGxPw/BISn5MdrFYF9mJlxJgz823pEQ8MVrv3xlmb2d9w3kjeMqy+Nj+5CdDJtdbDh6DPhGQ7y7Msf7TrjcAUffGf01FcVX3OkJni9lQG4SkQsGWypH7jE9LbXYmLwbpxF+nRH1ZEVV7fKMBHjMOh7VRgfpMZ/BxzHkDQw52ehjfsnH1VErGRX7c2mCrXt4zCIZzxZ2yZqI+61mn7dTP0EEgTy0w1kaat/oNqk++50XkHRtcCrULe9MrXYMGHt+Y/nVMdUgUniXUkhYr7bKx/gbuEQHOcbMq6bS6O/1Mz71KCtXkivqF3L1P0iUuKKYfNiL8KT92UwweXEHFixGN8mmrC0Y+7NJCv1jdGqrzvSYtBGxpju1z04dztrUGWJmtMssm4exBVzzC9bF+qerqgg2mCDygVf7VWNnLnP0kdL2FQ9dbPoYw0VmvY4bu70DWjDzNcq6wNcGuBPkLTM3boF4lWfmzrbnHDDHD2DBY8kSwFca+II5A9maOpRbNbZC8sBNGPpWTvD/3SEenN45jfIr6b0HGbhbav/bzM4+OFs3G9jKg7tVAT/KzdkzYAqwiSjlaKktw5yfNWiAh7ivHI8RsEnAjl4FW/XUndLSzOFb/8vLMqlo2zXOcmACe2VPBqGJaWo2OjfOwZWPo/XH9P55RON3Cu9fr8hTDHCjiyCn8h6w8zfw97ApSA6f32LBvwH37cxsUKPf9OJE1NVX2W9tMmpTE3vIBg525AM+Zx7kiVyG2WJkQ06957Fiv54itWSsfT9FgFl37Ga0/JsB4qhu+9KegoxDbhgVbijwbXG2BItfGEAfbP4mdtyrn303gZ04c5ybuu0d24Bduc04jYnNc9ETwGmcNTv1I3p1zVzdE95fTiFmmdEtEh7EVBmZ71ytSlTCbk8hujX6tx7bVWbu5y7eq6FFgAfc45q4KdUoCYEXF2Sjhj3gvt6TETc1hk6z+mM5Tphai2QMgR9tq5OWZg7Jg1mSKo3uwJcPpaO+q35C5ei/bH4FXmZmo2/wKHPcYVqFwJN6hJrgfju9z+95T36ozePTgL74gABHqUQUcSQd4PHD/KP43jpYima9HaTsumGAnwCTdonDBzmQ/uBsfu3wZOby/K93QmoE6+3v8zV+F6b2mKMLrOebEOc7+FcuGLpKS30zzRfiTHPimFmvy65yNEmQqeHe3GE/71zwlNtPPb7nOeurFqsK0QZizhFyxyaJ2n392Oa07xdTN1avyT2HvA0Y6pLZMlAWOWLabsBuLKbRI1u1I7isgM/Hx7VcUgYwVpOfOvIBU5EX73nlLz8b8Rd5bGnV2zNZ5SPT6ABrukqbMIgFgNXbt4M9bbgb3A1XoVZmiQjfc1sVRgMG8MUx15NNhvkGa4BhzZZTh4c0vG9UeHfVbv86M88xn0x88Bpn3j3vIYe70bbMKcMzcyHfMmLmOdiAo3a1hW55pHdmPmlp8R3pmTnX+yq/th7wbMx2EHXg8yiPR8pVBvF64e7vzAX78Lh6h1UBplE7M/+H94up3Xe4Pel8B5hpABxbxBcRMtucQMO6UaNRWFvqwcBGGgSYMezt3AWM+z4jwMEFs0hMQ/vN/H1a9C9Np7nWf70GQT5eFcQHYp4N3Nv0Eveu0e2AvPzU4la0vKgxfp4bVDrupZkRxNviRH03c6a33G4zBtwV+BesMrsrx15kwKkQ6FWXcju66PHsOeD+DlyeSrcFXtID/+o98MIxDZTPB72vojjHzlY2w/J9fMzx0ZIBxIpbOfa2qd1itmaNIJfGbT9yJyYm/9MonuSOvzAAOgVLBj5zTArSmYof7E7vJSPMVIrlg9clljZn4NfcmQ8NU5KPiVWNODW8n1oe8Mx4ZgJwgYvfT4yz2gJa6U7ZCfl+GvmH/2qkr3fgJQvr+UydGcMa3UuDJ/7d+1zBF9PczJkucC41ybJO/yRjsED8EWKYIsGngq2NXVr296mLb9gqH3yw9we79ehK3qoIf/G1fd35lplgC7Vlz4YFHWyyOQXy57RrB6PXlwBWAB5XPefyjPqYU8yY09gnCnG55y3girdaB05u6uQNL+X4XAMvLdn2UYkt5K94TVj8wmwe5KFvEfkd+OmeDOSa9PPmxDwTX83d9Gr6CyqxDLRffrg2tyvoG/BTVqNpzgt/hfV6lK62WX/1UjP5IiKusp+9NGHu+ibmv+oBJslseaKBTS29xyGfpZAxC2xz72Pu1mKwwp3oY3hPGwO+NHdKBay3BZzsYnqC2NDKJry6MgLOxIz2Aqd5oUdMCTYdHIf1t6e4rEPA3CJbsRXAep89mc/5yei07z43BOydvf+5AL5k2JE9poACVmymWHXAR82awf6g5NnTxVurftZkTB34UMZHbHqi19JpfmeN4d47s9F/g3WOTmObQ+w5PzWDzP6ZuAGxFXzAbtZsrRx2Ezs5sMD0INueCq/ARe1KabWUhR/WgPuBc6wN84amb9/TUHbHx59X7M3YGM85cNtmbSdY+7wCLCgKHp0i/sUtD+XM3F9q92gplK3cL4e7I5gknAKbGxZKEOlrS/q1qW/r0I5FjQ08QzPH3gAf9o+Qb19nlZDbred8O47GSuM0t2VBmKnZhjgE9loWmps7jCdOAlwFjNETGts4sP2q12vttqae9x3iJT4x8k0iXeI+vhOh4XlLz1n787pDZMI2umUJ23161ZCs4MOCBJIBd+Bcx0MV2Oec9Qv83OjYzYTKn2eNE+KPhPErceYV7GDHXfCTDkfKPgPPUQVw6o9slUldkBe2AUygzYwHwXrlgklWYO84Z+inHrwD2CVKEM+r0cy/2TvZiNImIms5WA6ztge5a3k++lEt7BJH8pYi5Dcu99KAvMEeVmkUAGZ9nX3NRnuxPIG/qv/1qeGB/5iZm1TMk+jIXbLlRw1XF2y8BJyyAfvpgJOXiWNypL4nozrwoLyzwt/IYirAUt8hRwRVBMlssFvg4i/9+R3upFOLCWxq/qpD4EEOOZjaoQbeLbe8Ny5QWjkLgDvEmkF+qfftDmxoTSMOsejvAzvJTZj7L8a70m155fxxTCwBnNxm8J1VIV/cwUmKqVdAo+UubmloNI/UN7GSzSmfH4BpMlNvmQc6qiO5mt5p4LQZxGtMaHaHHJ5UA3r2GJdWmyf23jV1TuXA7BPsczkAH/+dsXtdqdFssIz+0Nmm8B3LtXGNrgjbEU3EpwfvgRMbvrvGGjPvUXFm1X08Nc7+cQpN3zwydRG0GrYedVACXE2IYKKAeZOUx0llta87qd7wa2JqtAosAHOYmeQ8DeMos6aQ2FjKcP5IuLrx0Wjq6Iu0Y8ZWcgYO0ooAL/9qZLTpuUMJJd+1uQ8wZ5Fiq83cWPjva788bM1x8j576Y5YhLbnJkIMYqjbBBiQVH+vi+ZRipiVg/ch0F/gzMpoDF0llVUNTN3c7/Hd39splNXBjQX+2tJaS6dy4h/s8HfAo6/Ye5DvgFv5dIG1PNfc32BOEjEEdunyLhfbtRKNI50lVzt5zRzuC9b6KU3AXj2COWDXaNpT4PzKJQl1JzcVcUGHTy8JFkdy4Gqd//ObU/rtLmc84IEXnYZYVNT364ABT+gB+7Vtvgu8GvJyGk13XsQicc5WGuD96WuuTO8iFWcnEcDsOoNZ5A8GXAIY9CgdsFuIZdL61VkCjLJZIca63Eo8IXAgQ1lUgmDgslewEsk6PqtAW6Q3Ou5n4FsTyt12VSHEj1H3+WAUXPZ3auqJHZTzqJXMiqtT6H1BnI4gz7145Tdw7NVo2uTOQhXkEsCRM3yHZ/0G3zUe/P0bt7BX23LX9LzjhW6bcKGNORVnW5qwcgUuu8AajHVPjuC7Z8qnsY5aVDNVwdu/6kWXbNDjv/P4/V3pT8vgS7xTpr/DgSz1A36bAA8meJAfqUAbOng8L7CruD9zl+zEoJF0pveEzTljpja5jZOBXIQujUbUHfcvHemrnQozn2l2Mw05wVq+mm5v8QiFjBvNu3JzcKY8p6gC/79kwv5pCuBHz9nCn5Afn7UnPum1Q8bWJRZ6N7WjKYPfCTXgIsuq0AuLXp91/yq01uprfsPO+S6EulCEYxV4Zk7g67wJYqFuk0FfSrtN0gjeec08iMUW63FUaTVnQianHv0cHLTL+97CwZbVQUwrx/7t8wU7yQDWuZU+r8lqzmf7TbPDpIr0If+HLwMCHm/udZNe3RiTbTWWDxx6aQ2YMOtlJln7rfrAMloSZcEfDVVveEduqmshR29f/V9Lqcsb5vEVYnuVhNsdcD3APiZGTzalEPWcxXAeyRkeeT9bbEAepWpOdtmmjvRKCp2aPkfWy4gAn4fnPHAUA1bAwPkSUxf52i+jn2RzawkF5R/cbkvg2kVTTACaCfBG4ESP2c3RNMAzDC1+nAIP+MrWoQFCmdsWmY3irODP+kMcTA+IGZsT4qQOOC457prBfvW2OxgwXBVuFm6DXXf8UAKPLAtVZho4+drG1Ib8tuMH6poZH5/AUdnmaM3YzFQ6rvqWPLa4KvoL+CjG1jaoxsSl4CdqpzSg9r2pKXvVz+PHH1fR5laN+9txlcPBai369cdqvmabwfdkYfmQIv4BbtBRymWKeNs4ywX89l2w+Fb2ypxjtir0nn3CYkcekJMB/5s6uj9LFf7Ooo152HiGerKoddnYMjUgjp02PThLQNnGZiHkbkQWGW7vdFAR5L8zYKqchWSlHc+bDusmANbfszvncQ9YUue63DTWApHZP9Zu/DrTC5nVXiHfh7Jf7hJ4lehwKMQ2YjSmcjC9ZMuhsSWtVlxgZ7Irqr5TNE0mX7FIJxD7rCNg7H/nUVfg0orgIn43tVg1YLFTaL94ZW56LdkQt8lIztLiIeSfcxLsXRZMd0UBTyES5sF+I3Vv1479xsEPjmt8Sdl218BnN5qPwH02yvYXqT8dM/tPMCUAT+cntgCv5a87jg64gsws9EUCo9lt5vX0mzwihl896uhzAzkXuBA5EDaRzOYV1oAVej7xUGekI9+QT2wTN2iErLTw55pNZn7mXnGe5EXpJo7+vXcgbsvoWt64/XzvHyX4nQwqyK2zY2ppgCvcSt086NcMeGv74CNbgQu25SgzNYL1umcXu7ED+W4PeD3NxJ9bulMig8jBWPxQXP5qETQh4CZna5TFYjz61WmY5lPIZbLzrydYX8D2sErto7Z50UQYAT7+qBC3DRYkNt8T1h6kE6cNiu/ZsP0iaDoC1gGfPDsseGqi/d7Ry/5ssRENfAcrYpH3xE5cEco4RWcz4/6CuRJEx2850mWab39S4a0iJHES+UKZvq3Cr+oVfZvZ7dWKvJzHae5MAvfWHbDX3DD9q4kBMfwKOS802h08XNLE8jDukzs1vKNXK/ipY55fdUZbFKfK6NegZsl7oyEE2NOdnr1+gOeB2wH27yeGI0254FnJP2/Jf1o631WPVj6SgVvKx/3nSiPgPp2ZF6A8U1fUOBv7X4/Blso+xnkxmb7/92f9S+9d8kFHVeRDTkDTqYjv3Mw71bISqLRl+Pn4TxPjek8BWtC+/eL9NqSv+qfgeiG9DXmpTYi5US7we215x1zjpewTo5kKec8zd0Ke7MGeVn6oe74z9bHAufYJYHY6Jl7lmDzyq6eX855dWNHGsFd71fWbBLUc8CSnX9uUieUbbGEAe3HqAB+NZhgwbxdiw3SwM6c2NQ0a4m4wXTPg5ZyZ+mE+1GKOsANrYOZzWfPr3Ob21NM3HH6cHsB5jO7mG7yjBdZ8N30ykLsAX6MIck0F8WVXQs6oh8XMgbcZ9xdTg5vpFpdO6xmNxDowPeHmTnqyTlRrsO9XHdEXoeoAfHpzKhq7Mdoptq5wwdPczLQOuFEwyY1vNtE0ciHvpZU9TmKaqNtc8rCNJfUtsK3dKZjZqY9j4ESMAv2sw82lcnp4Z/SKvYDz+UfemTuvucjWwGnGtmjGOE6oPBD4HkaTlVJ2Y5DTk50+lKt+o4H9TwfLMTWR8gxxcUjQ3zvw2dRo5gKuwsBPsbLU1eixvM6W4c0vkqEc4nqURwgBb6a50xoNjrgZ9TGJ0IcwtYlaE8BOkPsWDPtqMOz7adBFzvQFcvMb/G5oZkfxQc/VsHxAnGyVlh4LXv16c4ERljySX8TMg2XzEWJ5eRrIVdDkQiL+A3+XGBsHGxHmfoY694caFgTcnKoe8II7HWuEl1ogTc0Z4Ip2wCXzhk0hfB5wQPI6x0Y4QldT/9Z0JWB3vklsWMeQOArpBbBcS63F9A92XL/Ob7kNz0kyrb+xmIbjY5tLbnKt/EqK/S13yJ64SKoC59j2D4BZX/1E73Xf3MseRcqF3N2TJeUQw4fYOj1zLA8gVptZxx/czPsopogP3IE9KCFnHyn1O+XMugKudsq3mEUortinJ4fPS8bRkgfIEZ0cX3UpWfH3zlG5VGYfKJ4yiEdmdhhH5GL6vU4atQTJN4Eg9gzyJxGA15yrZ2rlOeQM+G67DLhjafKKzVNC/Tvp0cKL/iEC0xs2v2p7snoHPrr6gMuBjyJt5jnejyvvGrcHLCO/FbMJQ3uL8P0CvrZKTaoU7T3aBRvgEfvcJgjwv4kBtLRscrT6O/CjwOBQWKNdYpOXvqhOCjOjy7plVnavxt5OevuqenUmobfI7nMDfOAdfKjLx09zEvWjIE8CGvhSQ3JjCHJr770BJ88g1+JqnEyPxObE7EduYVuNewd47CunpNydvvJhvjA7Xig3Zw74J2XMTSz+Ra3PhfZ6nzAvwaZHWUypooiVI6nqUSY5M7Mu/C/4nVSMZH+i5Km3Ajj7y/QlAi/awTq9/OtZe0CLFj7zGecXEqlUrXjEnXbrwBuJtf1qesD9BX7UFOKrhUfw87AqphR4Q5aI5SNBZF/t9GA0Nw4u/5Ls7OaR7ipruhhd4/89iyRucsGOZ+7lvk/v295o9cGeLnKN34TpBwqkPg3eOx0g2wq01Ay/A/Z55CsvINb2pscgCf7cEgfzhPJSrrwE7Jb/Lx8usJf/1fcyPWJkZsEsYCctMzW0pwC7SQScMdgaLpYkNtjaYy5O/dyRUF+4Jb0EYK7RFQeM86+mqedB5sRvBm+CPYa5jb8Ymg4Qfl/71QL+OZQ6cesBAciNq9xWS722NsQeXzpbsGvf3EUVFOJ4TePYzIqgDl5OkN+ScE6NronROnn2SQ3kq+H+w+idUGu/UQVwC4gar/wF/Oks3udjaRvNevRGkE/zHhvN43sj7nc1WDfg8iU2M44s1OWA/wjDP8opbwfb9KlMgwo/1/x9FjLAu8wxeh7yqd3XILO/vzqcm6PjpSrfXhMONoTaNAcnhjjW5qbegPqsBPwJHOsD+POhodkj09gomvg4ICsL24upI6kcmWAaP8jqP0zfd81RZ2rfqDVJiOmvuuUY1uuixPzAa3wuh/IidmonmRfUO/lRMR2cusbKGL7UEREN2ywSSXPfV9ZRvABfm5pVBRCbs2rXBmD/nAZTUQpSJLbaNStqswG/zgEulWv02uzv0vqzaWydJJZecqPhy/k+ETjk/NNmw/bBHA8ZTXQzmwyzuYOYS2thOC9sszMBb43DerffiKeWH4ok712q94+D8/Ll61IanVLgr6cdwYTB+457sOulzK1lTKnKAE/74COo7sijWXEKfFOUYjb3tBvgW28q1ICl24A79zXl5HmPp8KJ8cgHH/R5JX61+2ZK0Zz02FOrloD/H8kqAfBMI+SPNC8wYCz7AjZzMLpyZIgB6+w3jfPHe/XjEV6amukp0eQs+hK4S+Y96x5dPJ2CbXUKf8++ihMDzPu1neTQ3gFLRjLgVcrQnDnK3E1vGjdeIB+N1EKmR2uAvT9nENOx8Mz5E06KqRTazGdaeB1u11xM5hytTAWnVcffqpX/6rMldnysC9TCZx5N/mg0syDu4tIClOIQIcJ5PlqIJiEwPlfNGVtIWcQF4/wn76SuR1/L8Hyh3d+LiPpHxc3s697UM4W1NXXloF52eGAaHTPNlxo+s7bi1x2hn0JOMM9PIjVDTnpqcMG6xiVvEeyLS+3snnJT515aEJv7JrRvgqMLsdsK4uIj471TilYC73j13vqQnHbMQRXgcV/0MQI/nok9gX2g7ujItDa9ghZ4pzOnhmtlkDo4wkfIW/un7Q0WcNvWapz4lgTnG3Bej/H2jEfgmoDp4N1e/KtTfbsoV90AP+TV0F9OHd/kQQw2Cdhq/bwBfs5VwE2fcwv+4lBn26odujcDCuHPH1W/7atd3J0C++1oSczsz0W6+B1r/K1CaWY0v85SfqqBPWhoap30g4fIzIQz53E+jvwI8N0575WZBefSUFrShXgs2jeSz1cVQj5ZZc87djvaLZfcaFhr2APum3pVMizvzQ6imfVbe5AkWn3wNXgAjy5OHB8y4e1Z5w8Y0B7g7+6wxlU92D3kiApzcq5WeRbBXAm2GL2oqNT+PeuXD6H1e+XYK3U/7aTjK/CaVBTaykf8urvZSeTf62C+1QNnFZcfGZ8W3ple5399iKTTYAPTMYe15r19T9gWYq+9cmd7M7NJhPZ/+Ep6YiWmj/bt4GhzsvwNuSsC3EW55f3W6svhbCda2pU1m3y0UQEa02D7vztEU0PmP0oaOzjUQN8CWwxnJw3trrSVJ0Xcn4YGMNpMywI4LySrBuL3SbOFuu16tD/tym5f52wz4B9Gtf+GhY3rHQlghb8TBLw6xG/mjM3ocMuQXKjdhsAp/JqSXNqqAF77QSyc0Xy7YcGfSxoQmTl6MCquGTs75swM7GJPxe/sjy++xuk/LYF2paI1Oo8dRm0AeJgQFlzKoUV8hHUunhrUwO9IZfR2KUdvbCA3wCE74PZmFsZEgi3ibCa4mC7w3EKNcZbT9j+NcdoelOUlWedPvI8j+P2O2ehNBtroJc/AJ75KMUU1avPE6b3qfZvjry3PhbqRIJbgG5wN8aR4YmZCVebcOw8JTpCiylY9jcgLRz1nqGWWjjOaLGmADhh4KbH5V72SDGwuSoPFB9zFa2CyTTgXTfB5EQFw4gLCgI4prHGQaRRDSBkARxybEe8Aq/yA/xwT0RZsQK8aacg/U4fdKZRGz6bzvzPAYRlTRlN9EZR/m3mBJlZlrj/XO/+j2u3NuYCTCH5pOM5kuJAGlXdutRizJc1GPzVzmQHffTCLk3L4vYddcBc8mujZt3tuLB2UVMsmkKbPpOD8bB0tJcFuFlPbVQ+ehD3Lzb2dCmbAwZlXAnuA7+HmjrQIk4uycHt00eZoYf7qdXrZfLa2PyeIN6LzrzWzsanBpW7msYEHZT+tpAvsozO9mZrffFSZEvGKLbSRu8Cp9acD3FJkLuSAcbqCj0yqvy+1Y/MmUgW4yBcJf9dwBTbwBrjbpdacN+h8g3juQ0wQDfU/God39LHVzJzj7NimZF4E+/mVdGo6ONuq/AJM5/AZ8vNs+lzZrrzxHfFNzSDt4UcWcQXDLw2TK9PS9K3dT2aeO3B6Epg+Sf4trfumKnRAzey2sdzUrr5BPPAhZ8LelIuMfJG7/koj5p5ou896IMuhzBQny2mYvk5jO5wQKSEmv+5uMHfsorKx0Zi+lWYvrb3FgvlLds2DGo398OycACvC75i6kyvpWwIY5I1HbUBD2LeIX+hKlqP1tKPU1DMSM8PcxZ6ZnVGz33rRVoztjQ54oiHwC7v9yrSZPby/84CMONg+tW4Vu7r0fXbqVS545P+0GP/VVXqNlo+EflqAEwsZetUpUkO+01nTQbDmGHjAfzpLEOvsJLQJHT8fqugdwAwXgvbAWzZ3siaXfEzc/8fVtzW3qivd/iUEJjX9OB0jMDZyELqA3gC5QkBgYhMb8+tPy3M5+6vzsGvtykxsLq0eY0jdo1NkFoXGRkAOAu36ATrc1necVT/nko9xMmyyuoPY58rT3WhU4AP2iq9i0D+ZS1668iuVwAU74K+CdqqjVoNO5dJMJ3l+WL8AtRXu/jEJ0H1OzXZOxn1+Eqo5Cmz7YwEDNvckWMOag+fnFG75mO5WS+jB0Cz4tH1WL/wa92iHTj2iJ2HavTNNSoLuxDqWhsBnqAh08Jg5Mc1cvK8DHWXS7sttvgCHJi1FVIZ6fvV7MayOnDXXCnLoCfCjcOat7SN+5cME4l8jgetlYxKz2Sgn3hZ83Z/6+ekZac9OlTtCriV74qo3IfShckePIHxJGf05mc0NcieAp0nEgo8KMCuzXlTCfMBzPYvOee0tn8uQAueub7qHVb+oDwV89wR8tf5a7zKDiwqPOW3jG0M7D/QZrkLjEIhDgjZFDSS6jvAkROLK4FkvaueNQoZTrtrWc+bRo5L6hV8FHXZIDc+55lfm6DcG1/7sOZCflyQwIUMqyFwdaEd9nCBL8k7gFN6tZuQjzQvQRMbVArQR2vzYfbaEU9Dz3Ld8+9Q1Z+rO/3HR6QMw3rNnSplVT+7K55iIMqpXqm2uWT+GR0kgF6pr4Y0p7UZbp7epJJLcnh3kn74cTJHYPiBXINBebwcvBjxuSiZVXwUNq9ypf62vPQqcLBAeXM8o7aw+Cd+9jRHwoTPw0B+Zj3cVxej4vnbrIX6jyLxBvhDZErhHWSBidCFDtK/7wNFt4Ev8+Tjm6ku7qj8sDSePdf97hshUJ6MxLhx6s948tJvuwPm/Kj5eNf70dd+4MpzHsitm2fI76L9y72nI2cIpuV7xEB0qyPeWZ/Fe3YVHPIpxbucXidbOQKUvXfme4cCFnPwNPL8BvmIgPy3wlbkMQOvIdZjm+FJIci9zAjG0bk4Y8wwDsVogLhzA0RbftQcctdPfFncPCLJ+r+Yjb+7AsTFw/9ee+cHyUjVsBGU7L3vW58D95aQsYT1S4NdprxvriX1ixPK/D+HWdp/3RofOy7runqAAlWFTposW9f/8bwTEu53fRXS+eXtpvbK3vZCgEQb6AD6Zi94/S351Srx5K0BXyIhENo9kjBZ2dkTtrg92Tozd+xDGCMjlV8Hi4QTc8NSv28QZfZ7/9ao+joB3gZb+9UvpIF8xiJtIuzixvrESuJ3tnwHc95MeyHNnULXVF+JOjnJq692wtdd94jPEB10KDmuE2zWCAxHAyms37Skyke1TyWTtMC9+4dd8cBvrJ3jZu3cfYtkrF/POgW8CL1M8J37ixPD3WKTieTazVU6wSg1Z6m6CtRZ7TMZR2vuQ25IlHTTloQA93NxZMK9s/bZk+pV7fe7Em2Pofyde8SAYtAFwEmJ7+2zNkwPZuMU/jMffysXvdp92b8+PtpsB9JYqFsFrF51tnz5Ho1e65sfO/IHvXlk/jhQ+gw3k5WN2Aeze82ED1zoG5bYhqRcPAgUzMNujYqDuPMoAo5StW1ZyagpvY2dW8wQu/OA0gAux9X+Pbc2p3R+rmXj6Omb9dOODcI6R2v/el3R8GdY31XaIGnIBIbcvt+lNy/VKt/WFQW6HfDgloTn/m9lu53n8tfVviLUkKIG4Au+NIe93lavPrF/v69B8Z6hYacib8C5fsRHYOh8yjCuybeIUriOJ1BvoPsAK/HbiPtI9+siQgHxsGPdsnM4lCRNXBX/uJ+mLkxkTiAu4xPGxf6xdu5dfCGr7yecEtCXxVPKrHb6uFy2pD3hs+zTeEqexez2SQ+zbc0MdUuA4WtbL7iGz6QeE4w/EyVTI60MKIk7AsViAbP1iVDMc2d5B4CZvbNvskl7Z2QOvMw6aiE3xrMvr/vNV7//cBWgHsegC+OACGrKpI2G5eJLaWg/x6SWAH7KnGXdt7ydxin7EoDm+U2lnxfoq6aZ30BB36q63VS5ee+a2rv9AXdInmFp/o45GcaKi3UN0CnFsVInHSHQ7yF46kBwFwnoVoL93IkFnIvpV9wo0UbAi+RnytRn0QLPMIzcZ+Jsq6uZa/nnNefRt/btyzVah/+aEmLGsQCtXfFIJoB7h6xXhJq9zez5CNlSQe8bHC7xHWwPPUhetCnge4h3iw+NeKee0NPiWis1GOIpWnL/OpH4Es/PP42vxsN4GkEeDxj3m+id19VFuccfbdKW547Pg7gE3u9XdCgGvPwLvJHzQxM6FLBhEsJvamoA89TpHDXZOWSwltz5beP/ClFJsDjJc56n7xwOR85N449nWrEMcjBX/49iZunpLLZ840n5tXYK/AO/LbFF5Zeycj2BOublA/nZL2cSUUaxc+HeIQ4kFrnLzylGA/SC9XLo6eHqnlmZVdpjsveK+d//41IFnxyCHRuNIonjR3ZyQx0SkUf96AUH6gcbpKtOECeg7Ef21/s3A6XAG2sLuAX2AnnnVLQ9lp66nbA3cKDbamGvl+lfFx5X1Sgdt60PeYWVnr9O81x4OMgffTvbdAT9g7cZLTAzanbrHbG19/iFea6fyzishNu/aU+Heuf7OUEsWjez84wqAjDhCJT39Kbe6B554012sIBeOCvSmlg2HtfBzkqOdERGXnt0n9d2i/esfPOEcHuvmGKB3jTYX7equDNU5yYUB3f3i8wULsFAuv2uc2NlsofLIVrWbiKPE9gOAjicl5DngqtTuvYY1Vgf4nOsRg15Anw7khS+6mDcdzDfGybOH8slN0eddgHZI+vQV87OWhbN3RsCr7lkvCpzTqTuVwPWnLG/eqg6/q6/19pQ3kNNVkkUp0l+gk/JuBZzC9ni+fJqQhjunKAbdse5JiIiddwNc+PW+St7h4sTNscJxq9DGhbWCslzEvIfY4N2DuHEJz3UqMbBLHEfwbz+1E9uZVl/EGJJxvc1yPdJAy0rUdzvD+tmHGsyh5nbWD3n5LCkRmrhAoMMD3wP+huoAMEaKTRaNEfC1M2g4VUYkrBw/hecyC283H/OY7NF5VQ+QL5HYVL2OSxynJ9z0B4A11cJa6NRDDqlz8JLXftSZ2J7PbeNV8no75g0pt4lftnxhoLF1vnM1Iu+gOReyGK/sx5EtpCOtfoMcMx+82k8ef25HWIuAFa7K/twS0IfAD5WdAVC4ZKdz88JlQxz/UC+Gp+75kpnNlQ1nF2LbnvdOsJ4A88lbYoB/mjE+SeSo3nFrY2jtFI4GTluKuOQR7itnjgpOAuA3CHi1c9zWlwrVS9LGLz5/znKysrgD/PSY2BntbWzXoj3jelSg9U9hsBRDOpdy9zhiW/dqa1FHBb9fAD/unrnUoRuIwZYhbHNxAvkLn7a1Z+dxabF55cMo4/FUW0+yluQ6TB7Ap79LvPO19UIPHK8ymJ0GooCDAq/t3LKfr7wVvgzWYSZEZs+6uUOm54wg7n9ztiF6iTfa0SkNzQE032t9bU8gaIArdHrRtO7HH+thILumS9w7cAfMasgHgNkRfYfcKeOJmLg8CmP37AFrmgtz1/LZfy6N9bb/psJ8711kK84S0fnWt+p1vjzDOjrUbTNQofekuz/rwOotPh63sEqD5qcOyVggvqSdcaj3d9aRsr7s8nk24DQQW8UKGHxeDGq3d01CBuA5HPlV/19PnWxeOoVIwKGjGO9ssZ9HHkfrddGSD7unWWRTYs96UiSiJIytR2Jg53GKRSR2di0PzQdFZ1+ZM+hYIU527bGNAA1xYT3dJJ5JM/RbO+cCVy1FMJ9Ja1gt0gdwuq+sa0Ye+D5wl0h4RmQM8DGkb2oRH8BzaeY0QTk0Q+KipXLGRyEMz9rgoTuf6t6fa0d4Cjei7EhMOX3VEh+pGQvRPnvL2Km73+0ccRHSoxRxWsn58fSTdsVI7ExUp7iwrUqtD5OUzZIFo1+4c6qsf6FzXh0WBRjrpzRqBPwSrpYGuBh61VQAJ8AOHf7OzP30AQsdGk5J5RW2t2dJTAO5Zi3UtkPEbXzQ4TMFDKkCDD9fLYfH1B6WesXf//jV0CDInw8Ca5l6wWW/AJkbRAFr47UP8KMivigJSBqlcxWmLrH6IERNsrXekYqfWjWeeiMZ7xwGWHvEyrN9m3unmRhTnPT8bucnQv4NywgUU6gutgYuwThKh6YkXfxaX+WJU1V3Y04ielUSFRVrPOrWCw+Bp7DPVYHMlzabn0o6Hrx/RgZIP3I1AzezfrRH65cmB/EN1/993OKAOasbcLgGcgFoufTZf/7ioran4BQ0mAn8Dlp/x4ZPj7bNRJxxX3E9n3pnJYPpztvdo/IaXuZ8lTATSUMtLl9E9+eembOjQ/9av6+//s18WvnU0yrj6HL4Pdeb3q1faCUKVw+fj2wwq5olwIuEzxhdFFe7UzblZahZ2esQtKk9N7g/a+WjhmRBvCkYOaRP70ixB34w1Uy/A7duK5b4iRt7iXXB/e/MF9ZdBrqpzXATAvLHLPQhhu62T+tHI1VmnDoqj0edd5dqAM6VK6uhiVo2geAxYCcVWXhdJfAO6uHfTAxY2z7J6xvwoFS/r195fnXKxy3kA4gNzDSf/+d1360l60Fr8CkS4dnWXO21nVGS6yBhRBDp3GtDiqwFTAp8UwOjpb3xrdbnkhL4bnte0dKcXn85tiz81HvuLV9PhtyBn68q3hxtnXMhdFnkxqnNGBa8udULTfXSbE4dSbJeBRADb3Y/yHqhAzY8dJ+iKlL93m2aA/B/0CLW6+nlSXg4bs0HfK7IsjWvuJ2TOhcqTG4y1B/FMH7IVv9UrgCEVEZFxj8AJlCXjpWI7zJPZuLEgFGNnUsHuEAT1ZMZ1grbO0JYDQr5+HUO25QGPsOe/TzX4qcPWNaz9z+enRtLXD85ZldXYeNUeeJQt4n2KGYQGw+xcD97n9Ly6w86Cb561kSHDXATsUsAD209v2KFe0D0tR+FIQ4b4FwoaSHKurXJQtDobPMFeg/+/roqpVpAlxZVSAIaIFOIpiPR3zlZyATYwGXw3K/okmzdA4+DNa1NZnau6j+RXjZn4qx/ewPh7xGsgwzWjCOBWwK+zMSc7/tFEFv7eIp0l4XY9tnfeBAPrFM33l3hGf+ZU7nOKdCOw2LczDMDxIeq3ImBHtjXfY0kj39KiV5nAb4cxvfE4CkLPx0lSQfrHQthsgrrvLSznHoCPFUfRPfpJi1tsgHvydaM0k5VbY1bOyrNtrGw/sB2Pyh1O6+WE6w5wC+zOdf85WV6fYD2BYaL77L/M0P+aRO0u5/wX+Bvmxn4UUe4v1NWPwMfO7XYF9iEkCvHLFI49TbS1vIIxw/qkG7Lnm5Zh9uyFzlfyF61ZDwG69eeQ5oA5ynt+XKkp8xrFH9fZxnbof3SLbU7edWAxyODW2UClGXDqi62Zz1vPOf2vPWQ9cCJs/V3hbRrvSAPTuM/PdECPSSIHBlq/uv/uq6yju5lZw6CmRyw45K9elv4FB75dAHu81MwwMXA2P1je44X6NCBZ5AgLqeCLwJxB4POjFeV41wII29wv3PRO0iH65Xir3mIkyoXkdm+f2Wacx2ob+vvqfLdXcl5El7j1K3eA7/PKrFxE7k2gDcqdZCtSerVAN/kIA94R6C38Tfc+RHyoVcuwa2GdVTw9Zzkv7OeD8d3wMtg3As7a23LXeDW7/CcbS2BhPf3r5YOq1kH5hu4xky2JKEh/qF84iXEfL0V0bNOnxUecFQH+MY25WjWRnR7x9wBz/+bgzA9Evh5FaqRYjv7l37pd9urHf/rtzW7O+/0BwFOU3S+zf8u9cj1v7kWgZ2NqZfucgxwun9crcddn3T05wT88sS61amfFFvEK/cuiWisJ1enrKfikix7V71XsKplXtwgtu4Qs++Sj+q43fS0n1EhAu8klfUopHUwXurOPg/8fQp8QhzArPcp0H2TE5uHQFtZz9NXvU2GmqFwyEjYX+B/G5cEgpIWr45CGdY18tTNHyKyvZW1B9dyYYFz23tjyh3/KMPAU2Z8gH7wkiFdKuDEAtYjG8a+8kZPQL4m4a83S5oi9SEglk/YznGml6OkqODPNYM5K+w8Za8EXZbYnrDwz11m6ztoYyTzDXx28Cijv17C7CzD5CJ4vUB+/y56Amu+W8j7HydB+JV7CZFrwJKND7pkYP0sEyFiwEBebZtvvVB2AP2iMbXnNDcmJ1b0n7eDB5hvzxZco8Rgfkhgzw8aoRAFLhGgkm3elLPeED5eSljbr3220s4id9G1QmRfLt1dOIErwjmhLlESF7ZG6Vo56x3v7Bx4Whb9FFifFyHPiAqSsl5cbQ+djj4B9+Z37oEG7VFa5028dz4dHqBXL2d85OaLduIurD9NeEcMEXwSmqUupjULLpCTs6fHfz8f9u4EqKwvpNNj6Zmnrod3mz/9lm35JopLeKuPiukjl2RipgAdJl7r6/6scQENbmvWbQ17goGvG/yeiufefnwyOFaels/c3P69JMtzHzQBvPsGrJGFAMbEr/dM6j3nJNVuDddLf9K2W5IQtJ2jfue1WS9n0CBfBTeHYmniZKEEMnheeM1X2Vlfff2cOQPahBZt4kFc7I6Wa+VxJjktkm7tVAGsj1xcQH9uARt2ZTR6JSZZBnmZO9N//SlXh+S2ppQAb/r0CI8ZWeICnp2r+6sLsQacuXbh3+xc2+TI+Ookd9aT9Q6xfK4Amu08gcyJGxbFh72n2gPaTAIXCDRbLuG+yi1/5UNzkoEvkGkE17DmyUrAeqHs70Jc/fSt2C8FcP3A6jRVeoqxwPZl6Zjnf1GG4oQAwFaDgucQPBKTPo4hebfPVrfiATF2hnz/qmkPErE5Zj3tgI8DtxxDvlV98TUBX1YfFfBlLU0qFuOTnoLeKXzt+kHpIGn3ZQ9LN4u2YcBhrT/DV7rES+GiBOIFCYln3SFM8OaVD48MtCHj6z3kwl3txbxguqtB/58i0lLQi8SlyvZJlYiI53wHHJ9P/H7nW9CbX7Dms2lfus2b2BqnjIjDQ/8DtMZdS6FAg3+csHn59piyv18qDnwvxzvdW7zcrUrX7iel9wNSQ+IBbwl8j/RPj7sM3gPgCr+BZuxZHqwyTAzou7jebgrIzMCj/ffnHEI5go6JZ8KvrzhMlGyOWTeJqiPvoHUlxRQ43Dhqj37JoHCVnO7l8OnAOrxVAcSWi7aii4/in6/cTypoepT4LPgE+UK92d5PvZgyRfSYhHoEjfTyB3iQHng7/3wUXBw4U6L0dq49w3r2TwZEcFclBXDw0o1V9fQ3t7iNrPfHKmvjqIwC4Ctxqx0d0TA+Wv+BExOlhmeuBrhs57fuK0654nXQZLY+rTT0mkWBXw6QdQQ9Mrm6JF7znMWo4I7tvCzt2Jo5wGvQl7qn+5oDVmxjJLPJzXr/nok4P4WEZUigYjhfZDhfX/u9nJkP68FW5s0xdQtfPCbQDeoIfOgCPGbLXNRnmFq9dSgx6EoRz8yIpoS8Bc/eqSHXk87xlZ2d3CewXjc70Au9WDa46uxc8OalvxyZxz+QZK3PZ5oNu5kCRgOmhSqcfcCunLamr7fYs77NCvEHG+KGhPUNeP3mmDeF7BVg6XNW1Y/1i4N/j0B3F8D/F+vzZOfOv3phaBDvT4PuBWB40gnQNpCncqVEP96A231AHrxXbbqoLV6V3ZoXC52OOCYKg17n877yiBAh/dAOFZDb9llv4L52bhlgZc8MTubXO/0bsOZS5fEV1pg5YsBmu78on/4ESETBjYXC1R7+JsDXksUAd/oEzWdWrNOp6NY+c1BYhwLX4YwkxvCcaZl4+MI9s8lcXx1D/3VfgoQICQPRDrqo8ui3bOMD76cd6P++WNQubRvrMlImJr4TrkuKUgd4nl9uTUpdVCaDbmjYLMBTW9XiQ2b0AfhJSbbpnYZ+qF3yy+ez4TyXcg3v2n9QiOeqm96BS34p1IxKOogZfYOofNRLfTlGagPPyk/6OSXIzgo325qpsF60nU/sVC5u+aC/tTsCVkL+hNx9cMRvnV4yYJSZ5psL2j33lhF19La7VRloK9FdZNR8gL7MWeeHhTNu7JkuD6cGeIpfYvxQWHg0MClwrriW4s3uXVfRmKl+HHRIBfCVV51DkomxfXr/5s99F8q7mEKuFf9meAg7Z6z4Px4Ldy7XjLvpg/Wol7IAfny/Fw7g8r85F1/ZY9rKNnmAfmns3iPrfrXDhXDEnx6rLclJB3xC+ku1qLjyCkTlfGTBvEsFfmft37kMVQHc8FD0dt+SXslWJFLqK8TMNetAs7vrJZF6KfgsCxlHNn9n2+bVy/kFOWgneo1TJjLg2qR0RLNHowc61WrLBHK8A7qzS7hWoEGiTMbvFSaOBFzigpjCvS4a6UvG8Bdw+NuJWf5ClfXnBu23qZbfWX4p8yDKw3FVPWcQ1sChfKnw53Lkd9DLBrAIeDrwMxkpZPMk8E8EeLgHHIbMt/YA78rTML5lEsUFaOiDp1s16FUdQr7aGr/Km1f9IWYu4FSw3lWRkiowFxKel8T1Ed/iL9HirgrTR8VNC/nacrnwxLD1lPwBLlXKfr5whPdMrpfKFXMt0VudrVna6YEMm6QKBLN9+K+9ZeXMe90mq2wLccDXtkY1FN75koR2L/SM6oXu9NfEIUH6B3e11G3gPX1Rl2eMO0mrQauTL9YVt6r/9JS73lPTuVlAlGrNOYt+c9TEBvFTuut7ZcQPbcmBLbiVUuXUXYcSgw4LHHTabuAdk8T2ISauArJrOp2n99oFnB7M8sTxIVnxkC+l+QTdgu7ia414H3eFxK+17MlBpDLnLqydlPc+UJWpFf105TkNBcIUYkKw7d9VxjU5hd1c5slM3T93iv5C/hVv1vdqb/WiSwsuG5P26zcedE462Jk1KWDR+oXLkrTACkLuqYiDZuI3zvlNOJ8X2eK28rCXuKsHEZ8r0OfJKeguqtWAGGsJuFDAs/eec80i/K23+p55eAB9eag85WWLnRmS3Krwl0fZWXecRDij7oRqYVDpANcQmwvo2S5xxFLmZ4vTCLRjQg09lqGfimwdVwPQc3f+D6fN/SRRk8F1MqG3B293J66/Jz2Q5/y37gvJ0H/L+hpiPoZ7RjdqZ4Gibq46befdv8GaWjHb3CLUVRoN+lMFdV+s6t7228bv/+pWuhvweVujpCBjPVJvtHKFAE7aPoZXPcD3qRvf65a4ELd2z+y57hVf58IUftmnj72z9mSrt4XL52wYj7WH36QYF2JEVto9HRxje6Zp+9ntfGWRmx/x9KseH7YSFp7Ji/deQW8tLKLkGOqrMFRV7hprb3wHfJEVEmOCG5nKKSDcZ5UDHA20RCZoohYTHhYzQ36SRR/LgnFPf13t3KZvvqVt4nzeZWeAc5hXDwLk0evtGJn9KUC3Ex5n3uMbaD4F2CcISy/MCS5sq1eFtwlLD/KboXEJOEUiBdx8tHNPSPU+5cdwGvjX+ljx6SFDU2ZGHZNB8BP/7VF1M9AdWRBD/iYDaEt7BpMqsXFSBrifA1ryMbW1XEcxOizfuJo1b5UQHgngmffwPiHfATfbMIE9m//KgRb1EO8T4MtHyNW2ruX1DHWoW/j8D+bEsMZHlYW+UbgAPkkKvlBXd2JLF7yQx/oj5U164tYPYGN99m1PHWjgmSTdCvJgc9SRchPrOR+aTRKiOcHKrXv+wkpf4TFJ2tjO0nuADtupbeqD7vrW7eZQPNajCGqIyebOW9OAdg0ZZK2MCfgs556getbYxJCX3lW+WylZ3FjQXIrh09aKXoFrxUSaly+xx71uBm2Y654YHujA+gwelmTRjDwSZ/5OFvWjFnysHO4C9qTHoImzPplP+bNelAEGdFlv/Wmb74Q1PutjeC7kW/S+7YuVwHVeXPRScL/MBg7rf3cpITtlLL0BDrxTTljpqi+xbfZ2PqsYPuG7SFJ1vmd94Ip8Y2cPBXShfS3IVf8f/zzhggaEPFU5JFALfelKl4eFB9e/IvLqw/ssIAeNSUDegYsNdbtbaUmazBhSWm8AW4/dmw/9mB7ArZfKUOt78rBzO0U3etwRbv1Y29kJ06mNrX/1Apwt+q2pMON3st0oGXzO9rwms3taXpPCMwT8obausdXcniFObh2sHrULa5JhCTw9BL4NuhXT7GudEbMpgBfck1yjaokvhSAl5CPrtfPK87IWwGkiugFt1mWBciTWrLADXrLpveT6xt31JnPOvq1PTYHr6FxBTI+kcOi1CuN8jzY30gFOBemFeOZHYRMpBvw6T50jboq9W788FlrlTr2d2QHc71iHqNsvTWM9guC5zgR0X+1c4b/jlgMnK4YxAZ05VC2sM9StqkA7oJdsDWK7Bw3LjEpkcL3VW7JPxKfDe/0hO/zr65gueENytQJ+fVFR4ZUhrKxQK93HDeSE7JRNE2DYLQua9yRKL0fQA0pCtDtrlEWARX2KjnwNz2WebF972tsa3ulGt6SBdxGky+bFo95LOaWnAdaIVZS4AewiRebG90SosXIR2nvkntjZ5flfn4efHrM+G6YBfQmfjcy54qCJXB8fXLRj29RNWeEWPdpIHtvZco8qSF5YWVhvnbr3j9qYFHSWOQXNTnvNWUTAvT3aWM/U1MP/PCbl2uwdAtkM0u+Cz7SD/IjPj7SfIhmKr9SZFAGMKuBd01YBT7LeONNrT6+rB3q081//O9PacUzjU2e8ZPsXkXC9odYvoZt+RL92klzckn5qaPS5Atz/EIM4A0e/pgPk69DO5FnvgNvugXHB98y4cmdYt/ErR5EyRJDXzEVyiPnF+q00zO7DgL4rpWxuttanFvQmh+QOa2sSEWAIU+zVl8PymAsO1yniPUEB8Edcnoz+YmFD7c8Y+60z36fuNJx4s68coKqQ406Btt5TwAn+AI8rLqX1Gbb+UpbPZ2vgrYSpYdyXsrD7tcABNgqep0MD9S2FeTvlEFtblSYcMHEbTxlg83/f9dRXKdPbU06WTE6J6Fb31KjdyfaTB/EBcJiXDnqvGGkl8PgsH3eSATb/6wvYZF18ffaLsaYt5HhOe4iH9z+3Ghgtgeuj3q9/lKq7ZmO9TJ++scDdks6oIo/D7H1iYou/ZTgeioH6JNKFWj4RMBVpvXKShfzo9nNR73/8LORz0jsP671dis2Y8HVYBqvbKUg84vyeZRONxrNCxOLMnQ/AXT29g3eP9CJa2/+iba/pgrc83yTAfUG74wL4xRbw5ahxcbHeTMnWYNmPVmgsygONnAdukZP+FNGR478v/WV7F3La6bcKUcbep12yNLvjlmwg5j3QmA/IcU4xBA/KaUy8YsVa7pGF7A4P4MDscwHtm9eM7BKmrsLjC3HH92MulHDubmL0FrTCf7WOV2CN+mPvmqnq/0AejmPNJy97X2OGm4YZMtPufAecyiAPErhPmfTCqcMmZJ5wTtm6J9vOO2ZX718vaIp05yCI7Uh76kGcP0iLX6x88l4pmu7UX2cFuZyEZqJDM8C9fh+ZvvKgMUKIle6nCfjtRWPtaweeX4BXvCsusjcse6zfq9DIOhpD6/cL3KAnztOTENsz09f5V4bOTuaiywn/XdWDxqdg7QpYMTIEvdbRWJrNvgx8WEs4hXX2xZcYdOt6f3hcPeaIN2lrMj0s+OPqHEN4519/7qCbL5Br7Lx14Fu/XjoEdAICXuuzENt+ftAlIkvep4vgkwMYvrfzjrn1RbL9/mHgcSOe9TQQdy51ZwJrEXDVfJGoIccI/9aYHaOzC985WI322hfNJA0grng6kPE0CNCqzgp4a3xYiFMttNAiWWnIo1z8vfybL99IwP88ySkHHdPogHw/+zY6bnk5YoO6JiE+gp7bVd2fi+5fNZxw/T3+Zmzzo53mWni4OGLCKjw+ss5cAf8T4kyw6oxkkI+rsLnVgIG2N5rxGbNgbKxPcerO++PWKrO4gfzpAAf6oYHYlu6MaqZe50Q9kbFXeaMkOc7szDvg6A3viY0jTzvBc55XjVWS9hRQC7imkyKIz5vth+OePYfHGeQPKUU91+4YUO6jZKk9Zj5Bb8/FKfj1JMTwTv0j5N0TU1/p1x+/RsAQeXAhnbBd+hfx/seFn1+kTBfgm/sS/v8RdzfCNtY/6usUTo4IHAdyVAks2a0ifdAdcJ125xXDxuLIa7bpXDrTtg5EIO2ZV7/y6lw5wJNuKR8zHUxOKUjBRHo5OJ+3DPJt5VBJQBc/+8lcjmgG74QJqpfmvXTW53/n0WpHQZ8cnKk//M/3+wZr8J714jlH5DlTwWzsmR7loD8UbiIergGvxlvamrfa2d2A+xFYz0yEK08B5uuuYaXZ+XopPBkpWoYQ66Gd7Sogr8dd6Qav73rsUfPD3/8APyxusvf7xNYPQx5LhrEtOv1eA0/V2dpTg3rAul7ZPACc6+sUjdcsSJZjNsGzq1cinCbQMofEqHfg8aFd6yKcp/3CX2f0CevtzDt1hntggptNtai0HMawbpO7AG2aiM2PrcNSrtnxIHlkjrIzdomSo1dx0DZYAWfQTiLGlMjpS3gxqowpj2Hgqu78f+ptrs7eXW+VISuFObxX889bR4g5s/XLWMygBT/sfo4UdGstQ2VHolO4bis7f9VyKcRdezZZdOuYONQv3Gm/f6yRnUGX5fSQuf4LK5N/fReQZwb1Xbl4z7n/ltq57MLsgUfBPU97siURQ6Kk4fo7kWoAjbxoj6yqVv/wbg3afNoLz/Zw8oedMwPr1WTu2tXOZM8IX7k3snOtIKeaavg7cy+WcgA8N+O+cDqntjOUghVK0DjQtkmSKN5yx7f9CGUdPvs0hK3jUyI+s8j2zX/eCbxbbs8gcYIqR+MqFK/6+ZwK/PasF94+vcM+UlZbvyEHeH3x9PNtqZIsHuX79aJdBfc9705y/XMMUM9BP9FIW7+FgbloltKA7l7/1GKc6uivewrFI/ntUQX+zP2mNlqRfrxADs7sjK0U8EgNxT//rmjstVwDd5+TEvJQyR3gVJ8zNWSpBnohmMK/x1+AQ6AXPi/AP90kGhEZRpUsMbdn0y++ccJ2pp16UIMX1m6Yfvp4UutLnOmwOWcodeqO34o2cEiIbrT3hfXOSAdzP32t23JQI9/Wbj0QWeWA28PGztBedIujctnkdh/wVTu3h/eSQi4CviCK9tMDrnJhGG+TPoZ8S6Xu/WzvNjNdggfod3SKzvcMuHDZo+1JWO6KbS/Awjt8IP0M7MRxdDffxZYD55y5iuJXX3Yo+rhIZHMBbX6zfbtZq22PFz1J1Kfe+HNYYlJ9/VlqNHrKbZ7eHcLOTX5fI9qSCd7xNetNf+rwdAxTBGvzxnuU1Zg8mJwONCKvusoUtO299uImW5olAV5WiriV7+uIhAQBXu5P/2Z5+IVHktr6UrR4X+e2V7nxao9QYmdod35ceeSrYsKorfZll6yU7d92Vjf+vzP6rXqsL0qIpmxjY703OXClU5/ejgHtEyl2p97OSD97NdaAGxzJcPrOjLKz9OzMrecMjDqipMY1knI6lqaJq22cajkNwBOXYtHTq9+hxGpJWvUlt8VCW+sBa/JigM8e6rlAT68jW//5ky7N+RSSFDTxwc6BESh2RP7k71+FxIHVBaWjmoM7vwmB51NrZ43+QSf827+81HIETBeUgkYrnVlq1EjIIwXhwO0A5cW/HrqF8XhgA19AE7yDjpKgkfsT+1zVHcYQPynEMbY1sTyg59SejW9pKUxTVPzX87OTjHxAHtnWocrqbiIEtIVyrQ+WjveOvgN/OVSLCVPgtIKvA8C2FQuMc8pFe+rIW9o1Y+E6l1QYVpu4ZJFZSJc+QDffIcedIZ+/9rEdsfz1IKaSk1HnUijA2bVMbV+iGx/119WhwNdr0ALJ+zq39QFVGMzCPc+qx0fBNt8KuKAaPm1N164c6Eos5kz6zk3c8x006NtJzi+9nKZs4xNPdTrQkBlXrq1HJIt+O3X0+7AoSMq6YL1fEibeaKC/k0V/UW7eU4m/bR2fCIQp283EHf3B+vHD5sgyNy2F7zgFMcSkfnE2ViD6OLIYA8fE8PlzIsdI4U8PtOYiUOHUAXwnMMECcEJubQ8+6f6dicT5Kep8lW+kjmJja6rl1kDO8WGt4hX8TkvCK0p68+pDJGlO3kBvZifu38gi7EzkrAw74IZxBFr3q1qI7fd2akdtQC8eCD87ys4zCD9viol+vzRPX6wsmN8hTyRPP6MouJzgd7Jg93/5/LP3+eD8geuL89SMYRWoqbCzVVmT8q35ppL7ZUDeOGhTJXTIeXdRHXoQj3zUPH7WW7PtZhIL/ao88ZwHVnVnV7ENStgO+NfL23mKKuBBoL3zJJi+U1dQWz9DhZhqGT/9ekmrvcT1Xd2T4rRtOMUBArxVmQtrlqsmWRIEusytHHIuDH88322Y3EAzkSM+A37+nkl5J64F6dGDIwJaVHwnofGKznSgM1UhxMXOx+MDhmf912Ziv3Co0G5sdwFHq43rAUdFT/+tP6Z+gPtHpYt77pjL/+cPYPt478dAH7OW4j0yQbnQPWjK9ypPVpX1uc93C+vOi+WfwAO+ayHeKgbrZDHFv71nMVcY32RLfxgjx9RFh2OUPMoO3nlHS/nbM3JdIMbuemsW+P5AufG9tnPqGGBmqNoqEp3d9zigAvhf7ZOt+QJtAPikbO0WLyOCBXAbneMv4ZwR7/0Vcfid5DHhfb2iDrax8tKwEnjuTUPezgZDK2lna2tHDOTKJGmq/n4DTbEFrr0VYWN7W7wsqi/11oTV0hws1tXAK4/c7qUafHj8cYjjXGTbPE4m9oT1RnN+/SrzGoGW7wNQ4aqtQ00y4NBFrkL+vl5K+Nti+bskj4lp6/3jdv/2ox7rN+3QNwp54+CKVHV+UnvJXXV//GQLcSvnTniiyPIUFe1rLud10cL2ZlAX9DjaL2QqenFInD8zzZuPEjU7iMEfCjoS8L+t+d05hea9DnQAMbGhAVxjwGeI/ZYyQ7MO2znUuxSlF2b7QQfVZ4BPL0yh2fVme98zh7TMCVagW9MTMPky2nmHx/Shv9Yoefy5w/WEifRLgXRYMGNAmz33ogGLHL3dzELo1amNY7KlEYPIpiECfkczafCrpn2b8NHXkr5BLr1rTqa9l8z1sIO4Cx6k7S6Aez7ryBfDYsmkVjQwZfJ+nZNI7IDj7/7TSJD3IG8Icy4d/ZYYnRHQMPXjz8P63760Hqy5gAGXJ974AL3ww0JiUkO9Y2h7esw3A76XOfOl4IZUw1jyfhxqiyF2rm1PUpqT3el9/UFChRjXXwSYSTYU895dWb8M0Ky//gBbwQKPAeeunTWp5Nqx0yLklszZ159b1hc35Yk0C8+PUiagyXb3g7tuakl3aU7hc5tVAWs1AS6aGWL743rgtBAn4pwEoMUGsiPOq/9rasptfIfnYWe8/Jy4A5jui0peZ8b+rsSW9GLYmFOnIs65WyDbJ0qeM4WyYD1rrkht+03yzaV2zraWO1BYbTlS+N98evGA9/fih2clNpwx/QBcAj5qEhZ+omNkShntLiTvHlW3psAxtpxxz3qYid6QrBW+Cv2O2nkjoZ2/7vMyL9xMrt0kEDnwEwb86bt8TGntBq/c+1WY86Ii/M5F5xed36ZfU3FYNr3YNoQh/AHqHv23Z3okrtjBOvMY4LiMNm8yt+c3DmgifM1cURQ5fpctKPhAsKrd+LTzxSnHr57HbYXG89MPb7F+P+TOOrWQSH9DHDsFrOUSE4jDaQcrHdZf4gEOEx0CT/taR8WAp8QR+2Tg96RvJsgpgGndDbjr7RiubkfgyP/Hu4+r4I+jpCKV1Qkm8SQ+o8Pjusht/KVbsdXD5qPqQUu6yrBwWpJQUeIBv+hBT+bxirPucuTzAve+Il491491T3jT2Xx18BpFIhG8Yl4PHYI8TffOuGPwP9C7N4jHppI4A50l6WA65nDAPpODtluVedwoD8fWx+Tg3m8Hlz+yTgwJi4Hf4eMxh1zaW+2j3iuIQOa9/L6u98LVlElk5wrd+LZwydfEST5eU4cc4PcPZa4cNgSXYyRwHfFZy+ajWFI3A/0FeYDV0SZJQr3aeyQ7eHpMFgLpyu4BbJoS6ZR58WsvJdYCPq+3c2Xqh2z1t2LkXtr14pmUcTQpSS/CJc1RcngX8OSG5GHnyCd2prEcc4ZoXmFbMzXeOWAZD/xB8uaQuOgtM2aVAX971XDCPdoZSAHbCiEZLSAcZSobXkXBCvSkyrbmUrvx9WR1F2j/gvu7stVnWCMr8vhzkyG/nOxsoby7nAC7gZdAMjD7RJ4fmTt/K5m+zh12tjfFvtckbELhGFJ4+kd3Zsj4+r1yTAEcALgUbuoOeKP5+1Db7nYK/LIe4hWs0r2I7Ly+1KMueT9F+I1LHHK5xoA5R4rIVgb/q2erl783LeeSyRqdWjxUTvPNHAOY2q2KfiQipDPtp0vNbC3BvOEePvxXf/Oj0dhwMf5UnsZZEHuKC1W4Y3QKNWg0A1ynuFNHvGodkwpvmMzPt6rFErSkd+Rof0CfrurRm4pUohy0gXe6Ff343HPlgpy5iGkWNB/kfX3T72tX2JkJwdQp04ws0mM9KMk7wCdpFOnoS39dmdlwkTfN02O+I4Ps1vfSgOJm8ZW566Od6y23mAKn/EokwjrX6dMXYVFJHaxvosPDKR8TugBOA/9jXEBMCQee8YdaFKoA8181t4cFQ6ysv60PLh00yzpzSbq5YS1fKvP3UmN8Pw3AvzoM98jt3CvJc7xLWWf3zlO5rVck+vRPvdgBd7qpwZ59gA707Iz6OdfiNRdmAlzQwNFoywMhsqFe7e2cD0A5GYr0GOl9JiHvmLjbu/5H0SceH4oVcQ06ePUjy6ZS2rqt1kD8prfS1DNkuAm4XAia7+ckm0z286seeyjf13b+UZPZeqFwHddiM2qkJtCIwH3VO2hUTzkiqzjKj6FijIkJYJPCu3ckME49QP7vr07SUlT2Oi4gP9Oo+U5y0PIO+Un49NpnyyBn9zVcm27/PvSyWwnPfImFiCxUHcTDjvX3O1zDAXQDsIgEZYiUsoshJ9A0sR7tTPssrxfr8URa0Otu4OrF5ASehUDqnQe/vTD7Y0h3VQfx2m5Q7dLn+f5JbEixgI70NpY/CtISu46plJBrnasn2h1g6cYHXh5Avl8IrLWDM6HSbICf64FgfGU8uIGuBl32O4/jKILkbuvPhPP0Bk7p8nnhnvp5ziADwgLftzpmV6RCeI/dXNhz+1NY36tcXRJnxLxPL8C1NrWn28qelUMGPmF94J3ZlP0fO3P0NUvCz4YNZu4480VjbTZEyHmgPfoSoBsFMLNECtCO5KtGf5dTZ1IC78L2Yu0XPKvw39y5ktN3xicX+NtFhc3M+HoU0abT1o8CYvm3L4D7YSnNqnLFHnDnUgpKZD/Cu1CQ56YedNIojOJlj399yap+5dfBfC65f39i3n++7cA9L3u3kTKI3VKMoEPIB2f65eu4ErjZK/N5Y9Yj6NnHGB+Ft1v2nnVawc8ZyXzQXhmaPeQu7xj4ATwLknXrp3cF5LzyJISdEXmXpvmmQ7OtDX4H3RaAJgC2Wrz4/I99VhpRzp0pqAW2c2T+eTa5ahR4nKl7Xx0DtMDaKIADrhKn8XjQrWoP+CMnwNWsP706HHN9sx7eJ5aivXO+lFww1c0x5b+znsunN2ZPHtW2eTC7J+1t3kDliJTPN1ujIjt4qCF6tzMY94vOU8/4uq1vHKcL8QxOXAycE2+TnCwVcDzixIT08RvkiIfmKCv56vIbGxGsd4BK0VL4mzGi7+sD3xJRhuoNfo7UdjcnXeOW293lWW/9/md1wgVopfRGePym+8LOevnKIuoLQ9PDQloVkea5djrynUX4xbGp9XfNOu6nzhzoDn+TTg113rh6+wm8JX4XQzqnQnyXkpDs/Q9wqeZqzy81guvuzj7gJazl4sZ6cyMOErXEPJW7ReDgBro8VZy+9rHhOugKOCovg/WGbPXHaaCtNtYvEq633V34VqCSfTqg9nKOuns2qOuJdaCN8AcXyb30RlaxpimAC2Rfdh56TEC3buoezSc7S8v59F/nDqe+cCCj+pkbY4bI/emr4zq+rW/eO2vbo3hkQzPYmcrcxGe6EOv1fNEDcEXACPF+9SFT/AAn+q6H8Y0h7UDcXnX36XCOylP/64tFWeBfBE9WOuSrWs4I7vGQBFhWznSGGDlAvEiCyaoK0bXIN0fIe6qKSGHnNxZo/BZivO09dRfb2FDgvWneTNaXeO+qTbpskiwnr/W1zYC/c2aCrKdFLWjAPJqUPdpQYT7KRZy10J5m2mVBDXHYeIUDOSycL1LgJQOtmXxNrZ35CRoM+Jd/S4TdT7Uz4NewlsUNctvrbNQpjGAiT5cqqh3dFZBTG9DoV1djdeG46QpYv7Krb7SluyNTMeniMuE+o7mwdQ3/zRHXEnjmDPr/LXOmzbNvx4uRtr1nC3lhykfqaHIEjq2XdCkMjWvQWhR1PoVoyHC3MMDkJERD6qKfmgth651oDnkkMBu9iLRs6QQc4AD4m1QBmWiU3kEPhgJ0MsSNnRv44lHHys7S9JTtT30wY+eDxMrOdi77iclhc635+pEO5qcKrFdBhwo738AZR7j27Un+me0Myapf9/rr+uBmPGvgg6AvEsknfuIUZ8OvFzfL8GavuhRlW8gX3WTr+J7eHcqQwe5PVI5ykuHTz/jUHyWsa/QJuIrh2QOKdM3qCDEFOgFymp8KuQJNgyYOeRzuuYP83GTAcf77rlsSkhS4yE/99QfZ2ToH2wsVjaV8nz5sfVU5jDGPYtAN+JEIuku+rp7drxPOPD57iYfPFeiO99Rdt/COPhI7YWS7CZkjPgRoG+E1Lz+ipAadw0DbUBfebx5nvLsj60wMzwzytvVxBBDv10yhJisAi7WDy+Lr6ldfa2LnGlTO+F07vqMlmZIW+xkjfuYJR4Y7lyLg6PlvX9uBDiOqnPROgvU2ddYqiUZeB2rWEXkoplht9ArioqFGNyfAxZPEhPbmyjvb96hb7v5BVW48GmAKvxcL1wgBsS96x6kNvdXd+PJLuVVh00nzuRBnfSldcgFevue5KKm0fQz1JfFGOyPSHLemk318py461INwC1jrcvjrUTzeWDfeS6RuzBVficPvZZQ6SWDaYz6OFbCe174oz0G3d2PC8KggFhwZ0Q8hzi5oBlVbD9uBZDKKr3Sgsu7nt3r719bmdzTQs5AUsPTzknl/L9KMQSVqJ3FsncNcFEzzIj8/ZP7qh526jMeZDCcMStN6F4lq2z3SXsEbGztbtye3oCVZcONMFVyYbwHv3nJhwmANB+vl31rm96OdvxM1b8AbJusbVoborUbjLYlee8tXBPd05HzMSgd4ZDc+vd7gGUF8jJtqoLREBrGeMuGs8f/4hm8YJmGWp/b953zYzBXgFTyLsUawYLegY120UcsmZoy88MtiVHCSAhADMNfBds6mnXeISjn7OhBN7YwR5Fege4KC1twDHvSkp0ndGohN0O550yaGHE9dsioDwFKXpBxtjhmDPOASYvvuXnuwNdqcS8fvQMU4iWmA3wOKLYaWvdnZvgO4540SpmRCeIAX495rgBs+++Vu9nzTeoLSfMwgfftqiy9lP56Bm2f0a52duF7koF9eH77cbvoT04dqCS527tgBqR/bdy9ALHM+bZ7aRRIG+Hsp+uKWDcUN1uqiB9VzRpzka92T/Dkf+6NilJMeeScB0ewgqXr8DjGCXnuVwJ+K0lMu6F+XvU8I/vaNRATptiGArYe6/VwBvrwd5ZhqyNnWi77EG8MxaKIWo8KLE70NvLK19Xzw8/c/vq2zp/jvo46aXuHfHoTr0Z4Pubqvo78oFcQrER5p0PnCC1ai3XxY36xTaN5SB9avy33Rz1z35izCT8gOcN/B3S1B5x25g5RFJetDYmqk+To6sc2edb/7hyHkzTtwZF7Z2lYnzqXdJwgCB7QYSr+mB3DCh86p9Xxvmdc9qIeFdibgUfa9KnEMxFh6hMluJEk4Me7F97LTMen/2D7Jn1NAX7M/HkI0wEHimQ3iUuVjQ7vknvUFgix+oLi5q/c1fN8acgAZtYv8UzdOtdfYmWvAa8U3cNNOsvitaAU8s78r5kwHhVRbueuwdmfgt+aV5wPtkqjMn73rQgEnktazrov3NFA+aI5b6pqi7tY0k/H5GHze6FL4IoxdUOtLsk2WxGCPOjNw0WChXmF7xi+QU/MSqzERcSta8eIbwPwhh23NUfyneQ62JnWpAYxUpD3Qwg4CZNg9AJJdhun5FPo95BPQWoCVkTFZOMLzIpesxW9wf0Jw9M2N2gEnAw5kz7XJi89LkVtPIOop9ukl0vBs22COMHBdOx00sbxAJY5vjbVniBvQJs9+ve4YFvC2FKFMwYXWl+d8nGfvYOxXoskYoJnofMRgTb32UioUD9JYH289J45uigG3B9BirEdpKcgbxNWFAHuqo8QvHev77t/01rilO98E4BtoQbtvg6gjVnSr29M29ZWdP4M3h8Kopgp++3wL0ulCM9AUW5HVXF0pYCHzxMepa34KWL8Zp2XRzWWBzCGRinImlrQDDmJnhYSxFNm0e56juisX8PujBm5fMcjnQ/MD+XpVmN85jwETG1t/OkncCMk2b7JXssrJRYRrIAJGpG5DIfeZeovz+v/sdyR5tyTdWFSDcpidUxPg3NY6cnO+gZ7pDnaujENNkpvXPttXxsWtcEULcXipPOCj/RlJO99mm7oKNMEJ9Imt0z+y+rZHODxK2gBGLSLQrfbMorcNTSVwZM8YiL/B1gfuEehpOcE6bc7a/dXLl6Jb98cwWHSvrM+8YsHcl/n5kkg9pDlJTsAJkm5KRI+dDDRw1usQcu0B8Ks54c314BgMnKZRyGyYnFLmri/Ar8QBnRFt0xk49uu+2j3aRPp9/ZP26Ea72KXwfMhjWp0GkcJ93Ei3/j5G2oCesh7vTt3zJenpW+GuH8KQEp4TpQ7k21acqXu9lw4FVkhowWIDuLCRgf6dTWD7yYEn+NmWr1RfP3gfSxI2shaFS4bPG+SeqF7iN8h1dxaongGPSSAekq2Iy6D5Pm11RlDTyGHMC2HupYue5ymJpKWtxRX487UPYLJISMihrvaamTnoDHwKZxzvinYD60kn3BsL4EzntG2+4TkNqYg7sWjFkEhKB2dFf3d4TgKI+0fVk4YFfx7AwcokEkijvxcRidczzPSgx9L1zzxc51mHfN4pBTEYJi1oEtDIx1xZ7YdkQEED04GBjjz1zVYBP6k6bWt/gtIRDgnFvhgM6OB5BTHfQKyaxI2dxL07r9pUeAZf9hxYIci3ENPU08+eAsjfZR2sHchmYYHit+f+4P9j6tuWW9Wxdl+Jg0nFlxODwNjIQegAugPkCgGBiU1szNPvoax2/n3R1dWr55oGNPQdpHEwHtjMP+gNTmMOvsD0RF652NoyvLnN6sdyRXHttnvg0oyy7XB0p9f5/E59bS+1VrwO+8efdgm3PesXOw/liTN5Ao2TnLjf5YUK85Vrpflyon5r5oscrffrOVpQU+iUmntR5n1jM3+FJsUZ4WOD2lcusaAr6DEto4PTUiEemyPoKZmD7/idcfzpHEzubA9aduSg39Gj0VOX9sCjsQa9SCoVTRusW4J7HBDH+BbZ5XE7kUKXuTPNuH/NNp3pucCCCb6wyMapsD9yqsK0IJK7qVczG7g38f/Lq8T5OZzT3MWBiJGUoLnS3k4zqj7w2g7mfN70zTqajOeAgxb3ItCeIyn+8vRAc/dPM9Og6lQHeP4mzXlkvzWdmzwM+g32R8hGKfgwjaXTfp8CMuGY5JW7d0W4hOlzvpocCBL0a9X1bvrcBo2Wv3qFhqbvR/r6rZ+y9x7wd91LnVjgGWH/tqcqbpHqsCPX5LumeIOL1DvYyZPo3qZaPkEDZXk4WSnot8OqfdNTNO8AlwfeUk02Ul+uZPBisqqPRrzmqN7A//MwH9FOUhTB04yV87BTM9zNzG139QZiXvDRL0yvQ4rapTJ9VPrkIp3ZzOg8irCxBPvlP0sB31IwBqB9d7mNW4jpr0z7r3PRNl/xpUbJmhfpI7N1oASCdek3FXj+qmspfIekjrbOWcgHN/Mvo/lHPg2fYHPZX4l+8zxH6MTWZM4BQ8z9Tq2TIe/8sTJzFulr5t3NqkQ7Un7ZnCObq5V8VMO7g1dpn4fQU4gfK9QeFSJtSU1/IJO730I845gx7gnKSRVurDpSFTznphnmCvYBogWmdQDuiJe2LPhfLx2Ikw1ztjYFPEtD2z1YmXWwku9TSGapyaEayenowD4Z8CwtvKt7Dz530tY2+MHfPsWJ6Yl1E/02Bo1RSZtsTnF2B6z2iNbC5Li8zhxSK7mb+R6/vVZYdj06mY0BiylPnsDvX/XXfKxd/41GpALeewqRPJXYvuWo3wC/jCUlhzTGnYhllYvJpl/bUgppzmV+a0Sq3e11lnJV5i4iaMAf+kEjSg87Lf/N6TT9fDu2NjYCrYpN376MsW0IemKjLAJeof2phnYneLqC37OE6ZES65VTk3cEHLASXQ3bKXOnV67+kwKygg6TpQ38F9nl7ww00DuZRrbo7Z207A8SN3fgxeRged8c1k0IHuWhqkTYvqVmxldMpqbwURUnfR1wLX/PSVpY0vZBBvulRRfOFn4W0wenvM8KVLFoYjTm2TlUJ2C5wtQVC018wX57phXgZb/AQ5i5QWnV+ZYQJALdeuWmD2G/wBcCBqUohnVZj04SVeCf/vdbz5RpeHb4k8Xek0N5lQW7//Z3/c3xY1c2lKZniZlntcFxuz86UqY26BLAV4Ywy2F/MGCD8zBv1EgyqScbMwKYU1rS6OI1eZ1VxucBT8342+M2l479wPrfg3aghWljYWHOIeXhPLBHOSSZ6fEOnud6WP2x2c09aOvsYGEndbEtwGccVg5uV7bMkcvZzFToEpr38yuP6CcXbZsiznJbHTjorXO09WQEXthSPAOsZna2OdqcMNcfeYFAL/lmLqudCjyCS7vB2j9A6yfgAQrF1IPZXAK3hakjh3NnejDtXzUIF/gzd9BXbQX7NhvIM7U2HuDxQw39Vdn+Drh6BAy4VzavckcK3OGkiUC3WvyHwnqyTu6FNrlUkjVcjia/BvaaDxr3p6TSBe/xmieFypWQs96beqY97flPRdl6EsoxcxwbFjq/850KZc5v7+WYmHvvBfbownvwUc7ssRj/3uoDPmoePlbA0uvR3V/NDDE5mHNj/Kpfvtfg6UyfH6q5hnj/wh0nwAlfDURXE/hMmrvdoK347rY5Fz54t9+z5Wdqas2K1tT0VjTcfoG+v2b57JadvuUmzxKcM14T1ljT627UTgN4/36bVnFjydA+1Mxrq0jvGJJ+3pu7GXwToWfqfVoVkJ/GkQaTZhq3Mh8Q4dY7eGh7ND2lYQ978vm+pgW6cYF+e8bn3b+/cxss2g/Q6mYGOq8AN8p8Hv/Xx8zMAJ2VM59YrEbw+j8HR4I2BX9l6lFc0IPj5PAYm/PruFyZY26q04HblYtsHk5EhVsG+OH/4cY4daxvTxJBrA4JvEeSpSEK2OgP3NTyis8HdZGn4kSYfQzP+kPc0MGFjPNh/pBF88j6tjJ9Hokz7ZSVbk7MO9Ao+TgJ/IBAfp0fTmSYTuAPv+GbPZiFWcYs5wyaGrB3okO6gG4xnuh4dMvHKcIb8CeujJrHce2fFeU34ysoQ2uF8EQtvJE83GRM+ko8AJMQYdHyd34orcQ988nUbP8QkYKOWlIa4Kwep0sa2S5wmkUDGYFH/JYOSUUkHzJouxz8IXZ7p1nlk/RorXdbB0ebOzYzLc0sxyBcsE1sg7ev8ygZwjMNSoIvLU6h9mVsMB9fQJ8NWW9mEO7v56G8p7v3O87fN5KWLl71wczzq2KicWitxvdW+RaDV9qcORYVYE9poZNkuG+s7cubYxxPLvggATHxw4W9M3PHgDMK0AkfxFHz0SJ2TttrGqCUuDiUaFoUYD3mGrROs3DQ3tQh+zSC72GDd48n0y85A+f0Nwfj7843/q1LMb1Je/B4ogTup2J7Ki17xVbydtbcpQi9cYQ0eBVUWYoyPt2VyK74t6dJu8m7zKk7cgD80jlSC3UVrHFS0a407/fXx0x2fGXWw8Nui0GTJMBN+ypWLrFCF3zab39QPJp7XzWUhT6Z/hFphzl1/U3ZYVNXlmbAnTL+dElvT03AT4or35wrgfccqvWvPzY9AzdBXLQ1eEZGcWnqOPjaXmEf+OBRv0Ch3tNBOvDvobqYtMkHPKzMroepTPW/1cxzaHr7ma/JApryqxrQF2YP4Gp8Nf1l6zF51S97NYius1AJZYBFcQkYkD6lRZCpQ2IWAnenLUxbDnzwTQp5MGeQxJqOqkjuJW+9M2/BW+IWg1+GeLk1hbqBH3RAQ7N8uKzgW1/767sONOK6lYDvLnGTBbzrk4NXJyiJJDK9vElM6D+v1v7arNw52v/Ar+sPKi4WcPNi+hek5p6DqZ+aK5Kzx5U40mU2zutBUeDol6/8qIDn6kCeGJujrIC9KSyPsGUnOuTkQW+ZniulmA85wzdu+wIPKD6b2TvmjBLekRUItNwGcE/NTSi56MgIvvEAmuEKenbfCPn18nq8n520aK+lo1LQyj8qYncZqZ8mRG3jLMGJJhiHy13xxtTr/PZ7BW2dwNp9CTb7wE//5cSs7czY7Xke/UAV/E1R01/H7wng9P/e6wrs08F6b6SdPU3fTIhFBzj5C3SCywbgHOAE4Jb4jFTA7ISSMHzSQVVpJ48mlkwvkLwjLnhsU0v7Y/ohC3NG2Cc30Lxlzv68Hs5dvld2iyjELLzXqQrSJ3hacFGlJwrSkw7/YHBRjU5SioiXu2hXO+iaCbX/PddmU6Fom9UUvKCWrZlxRs3ZA3A9ATwH3fTilNN5kPuywNcKPLv4endrlwB3h4ty+JxGoQfr8QH6KaA6uf2HpZbHe4hPB78JSj6IaKwcuJL0JeDBDP7P9M4k4NfQHbTkodGvntXzng4JOiH1bJAGz76MZ90esGX7DPZI6vrLqejtE0dRuirrHLXge8i3GKVLC34RQ785OODxYuVzl7w1jD+Z0I4cQTebfNJOHdTu/dXzcwU0sE7x5Q7+YCN6taujqTPz7fCoihNtv9lAEjxYD2nm21h6kxVqzgbwPl/zJnNbVo8oy+3LpoZ9Qztf5D3+gO8LTkYSbLc3FWcvPNxng+G4BdZKgcfBN2bZm9LZ7s+D4lLrG3W0x+Cd2LAV0gWk4r7J9AINuzU9UZDpU3xwLouZsylDXZlaLtAtCRH2FTT4FeLk1d+GlGz7naK2rQIEfoA9zwEHpQWfkKpMrv7H+Tfnp7S48I4Q+7wy/SXMxGxB4pK9P2CNwAM+PGXxU96TSFlqh6neNcxbQAd6qpheswkAW31TB7GaOyRhOmD2NzO/epHhdJFj6Z3C6dDESdJYragD364CgkxPEIEwEp0vK6ZC8Hon0OAkG2YHD9zJHEVM3f0pAB6N0Uv37nA/dyxIr8CBnixA6bnMPefbTI4krWn6PHPey0F6R8uDvbtfeIRQZfIFC+Apbs5KpOTOAnrAt3mRRAyhPHfeHWJm1RagXxE6vfZXMyw72LN9HvMSYs3wwTfgKwXu4uUw7wDHPdPrmUXzNetB84bcYM8sHZQ3Zk6rY1enAJ7BkX7jyqvJN8xZItmKT+CHrQz09utsmXESgaeMVAEeriMT5W3fmDwoiGt4o9+Z1L/9Yvv5Alw6yQFiFXHQvq2Z43TMtJlrsf3K7H8e4DW8997JBa5qRlwBvknx9tVX35c0fNY5xF2ETT3lpgHVX9tkqftZgj7EZae+cJDsmuFmcuj6/87Y20sa8gn88T0V+4VZusR2/wD9/lSMOSSyf/vRnWP5hbmfve71sLC7GrwfxJNmTmNXofb4bvuQ4YxOQfM0s2BTa+/i5+2u+rY7x6CdwGeZPU1A74JHyDPHnOFvgcc+r+exMfOGAsCfqeItbQZt//GyUJwV5CNFn1bZZ1ZpTQfsTkMdazCh2M+/5jfO8IWbWQXD5Y4LAvHwW//YZ8B3puYktUrnFOuvevAuGPxwNryvZg616e9ypsmr1+ID/HavBEaZnsCfYEnc0sv/+wa/8+kPNuEsnCHYLvfURnfJNhvZ81T2xGNCPvMos2TkLaDBBB1+n+NYds0dtO96Csx76leO2cN4TTNrMe/Ce9oh07vtdtYXq7La+0lMcQ66vmTTka7ySmJ1wa6yMO/NfLqO9uGdWupaj+mduRJwbvKZNQWm95dyllD0lyfsxxduJGmgWFXwiGgOz6n3vJ8ulUDXPExSzP+ZOgEf3JilCmmfoulR/s71kEfgYEQZ8c888SSX93PR3srfc7327YRaLwe9prp2lz7fX7nfTsbIUAccsGoB/a3afNiOoPEPuWlBG/JE2XoDugrnDntWEZpg3yWwjhcaTqfKaTZ5tIW9vN1ljI+MJU/gklQW+yddlWf61gLGvWJjdypwToK2z03eRM+sGr4948kbjfGxCvDO5Pym4FfSMTM5ziv7vfvXsRL8lhU+A/9/IrFeyzW7nvW046vqFOMxYOEHiUFlu0n354n6ZaRF+32wOAE/YGYpfADOdUanH2z1O5tbWlsz068vdSsqsTyJ3boqaFfwHT6hGIBaHkjUZtSyv/Fu+60EaKId7BEOqtL1X3h4aATJTxy7XCcEONbMEPdPYbs709QGLfXRdD7OLC9WvZ54BPp5laSx7BT0wTUdWk4BIwViZmZaAX7wnse+zJ3tyytu8rB8nQNQwi8PUoROtSbFWcCeGpOD6CHuhvnKQ3an9j+36fn9DB4V/OeRfW2tdDffUoSPHFxKnoNmYeBZxtSVlhSZJrds9Z88TI7Abyt4+tfZsiupssE/RDhsgcD4t4q2F4jZ1syFIKCH2YjfAHUWc9cHPgv2jRyl8Mz88Atw5EME/6xmRJTbU1A53vGM+idoJx8DLwLePc76L7dnYRrH4Bd2mLWPRtgcfrsVvZ1ka7bS5/yGBfHTTsf1ik6mP2aqYT+FOs8srbED6G56drDJLgd2Pzg3D7ytJ3qZgE7AJz6l2RC+dFQox6mXX1vf1A8Rp7RBQ9u8299lzFcR9VbFljfehVYd8q4O2jRjyIe4/MYBDhULN2ae9LmfvHQE7QceHXglPVN/bEIFXMMn3P/1S7HFbjumMbNP+fZDBfKrsfCJot6rR38WXWYx3u7MPdtxDS3wdZJ3DWCG/wSeO3Dw3ylNuqojJMu3CPxoZ87xgNMfdZE+avB0jdO+/NdXbWNwkf88bM05+Giv5PyQR5qcQ7Qx/dbKQo5p2LagPb44m+LM5uAJbIIj8HJh/6zt1NyDx9ImgGOmVmj/TAsZk8EraoEOWa9fud+/uR1mngT40LDpvWs22Lc8bEfQQSOx1IWvMmJsOTXhdioLsq8Grc/GYzve5WiHDugMLrvyWbrJXEfbnK7/NqcI/ObatucQdAqbX1o0IC6Rtdg65ZjciCsjEjWbtActMOytU6FBQ/Ru6mCZIlLkbhtTsVzhdwjWhJY8s0SsvDNKzWxn8H7+V1UQHwPasgEnFdd7Zk9/fQ8Am++AMXfBkqzamf7ncp9yf2UoKSsHbQjbBqzATlVMp3qc8tzy8rOZAcP398ZJyrz7dz3DXmZfMz8HEvi5dFgcOqzXrFz9ia/41bP6i7jt2liLyeVnMm5j+P8LFm6X2pk9IRQyuRLY0kT85pN5+4zKNxX8zptdQRsE595+O1gPqywmkXP+YKvp7zBFtPDfDG///7nf8JwFE6AbEPo5B2RjetgAF4LvxbD208GcC8GzmbmlpOQEFAE5lI4Xpcxu0+g3J7Aig/6qANsyC/lELIhxafQh+JXHIvS/1/n8lwQdAeufARdcCHyfKgIv46K0pD6D5/o5ODqsChTSwQM8fAeddIP1RFg6t01lo7d0SAADwMfpBJB1JtLy3DwiX6CD3qpVfph9/vdbq8qYtUSya9eq/7yaPmSq8I+g85PSyRbQsEWVvz8ahjoWki+iy0fTL3ke64iHbSR5e20ihEHvWumwlA1tWaX5V66nJ6Xku7b9V12AlqJ3zuO/RYImpyxbTB2emVcHnHbKhq3FzcwS2I+0UF7GeVAzWTViS9O1fcIzmV5GB9CA4CXm3xmg6diu5X/9Ky2wa8Dfr749s5lpWABvL0eXfDf5+ypNrgxEfmVNj6PzeQdOK7kl7cOaDKcIbQ5Wy0GTcAF6ITe49rU1OJ3xUHaAU2+4Q71ySHlGWGBqcKf8m8tZwz462Imtus9NUyQl1u1POiK3tLaptP1COhcr4y05FaA4HMAL26+M1sBMh+ANNixAgRpbDw9bR7kcwf6Y0gKDZ9keZJg+Jfvr0Sqa0Pv1nZmtDk20zQgHzB59wMWZnEQS4qhtMz495ehbEHf8TGWZDpkrC9+qY9D3nF+J825qdxcR9rYwMwScBf7ZbSUjKkX3Nwdhh1fCMzNDIP7cmH7+NfX3dfHvmQnvogalm3BeMEWRimQuLesBfnsH/hzisQeMBW6xdVX3e/Ba0wk0F8qYiknsP9MI7xuHzM367282nKk3AYSB2Eisw3NmZb4tWaG+swEFVcgPTUAutWamB9MbZeZ+e55LikIRbRF4dEkcLeF7RCpUXxVLWDPMt4a3Xeb6B2ZxBjrwb6ZkbcufOsw2oJXHcpRfjGcbHoSmnrI62v6KLbVRDk8rppfj8+aAD0zpyg8in7N89/7IHTyZu5FS62e97h8mr1JFCU85XjjHwGF/vQiOTSdjiKeJofaQMkJVpNaDM3kint5oobEK+zsBzaAGDK7v9qwE2zRjK8jASxoQu1ozC3ADS3FZqLtfStHy3DU6kPigwS9NuH9hVMLFcjvFyqU9yNEYvjvFR8zJIRv3D+CQu7K0/7+50UtOW81HNVQF5mzlXV70v2sgwUWweMLKsnWqtTzHys65clI3idIAv/R8y1FrzobveTjtcjbhJppxNYbge9rhYJl7CY0rC8UnwR0Rkg/QaqwJ2ku1+vaZt34VSBsPFviwbZQX/x7MmcHH6xE09K6yL5Zky6uGbjpriESrMfO1NsBIjoj4hYXg78NPB/bxSF1mzs1bvPI96CwO2MdB6zhlp/f1qlcVzasq2kKAL2NhY6eUPBTbavA9EMPaSaPXPI4b7AtEK56YM6AnGTPA0P0KPjP5nQxrIZRay+0s2gJ8FD2PEv4+++P3t4bkeIpld3CTKWfA5WLC1AGtE8sM/NuYddo9sSRsID5e54ci3FZyLZc60I7scEvQ/qocfCQj/HvcD2l42+BVp00+dxX3S1iHkrifTrpqz8yQTIvJN3MRuC1vJc3uCqL93F+uR0ctQnig5eRLA2xUb9+kPeU4UlwU+sYZ/HIHuA08CHGoc/C9giYQr/hb9fPhDLiT9QqLHhHm4v15eH8o0SZVuOC8S2ZiJzyHtRaBn1DBv3igX/eVJfCfyd94EEpAyxEq6N4C/WlmvLemB/zBnZz/nbf/kIFEp9B2K2YPwL0p1dOl7i+2ciVqQOuU4rGa2UIqVhj0yJ1E03hw/vbXnuRbigc541gugJybzGkW4CmSaS0aU9c8oENl5rxB/OMRXAkiNg65YMAGDVcstxOTe3snFvfJCt6s50iGC/hae00du2Orfs3LXlKb3QGXpbTaDnQA6HJyrxxNeDQJEidzqfeu6V3ffL0/cMfLus82h1UL1U8tiVCQOe0ge6/gzqebFTrMKDkBjxVp0Woa6aTevb/qOJw6ghgt2qiiBFQe4L1GXgbcm7oK4gKeJNzYtAdPac5OiqlqLPKjNM9qy9RWz37O8DWNpMhHc55nM04TiIHljVJlwTrD381fdRyYaHlgZn5vj/ag1T/Oob7UCPRQPwO2mb7KW3z+mu+l5e0Z/VzTEAhMJL50lksT6a88Vh247UxQDOtsf4GWBOxqJ0k17Pvktx7iT/eyxyYbscMKdCpdFNGnqan7rRNlaaBBM088DwGLzNrR9I6LFnDuYnqoxoA/preURa2bI6k81rq8m1mmsteEUZJCPPWV7l+8/MFj8NdmFrVlm/e+YMqPguoONOkBF/8c8AOgu6QU0X4lnd+b3BzTU5zEXCrUFtSxr7lNKm7quZ2HTVHpVC7eqeDfs4boZPC/X2dE8Mw2xCDCkWUrsb/SgGegI38qV4H30TE841vDdYoH5kIMjBz20jluiaK4MHd+BDSkmVUOnplkNlvTGEcZY25OdcaobzeUvHrBfVRjcvzNBXN5Cfvoo7Zsdoo1AWzvQcvA2u+v3IFvYyW5jGBP5bB/QmSm/n0cXb5nxfSdD1527thS2ToG7aPrYbarLjO/u6Nh8soX7UAPIeVsN8AJNui5UA3SYLyfr0l3FtipHdVVgH1pkLgn8B05wiuzkmNm5okzkis+9Zmw3zgjSTXqJStUn4IKyOPwSmlrm35BrzwHRhU3PJv2i5sLnTfORGFfTqUgOyrsB/hW4G7mZtYiYJ/t2dhmSvv2wSYbEpiaTGXqIctsJSK1UvCDqSO4SsBPXXPwX7mrXvcOVaVxUA5zWT/noGTeT+WAXzG9X9w2k51KmZlTgSbTC+IKcTGwSL2VOrkTW1MVkg18ixy0yEKY/q5d4IMwXKTWBykWjocJcKV88bJn5qfkvHfBh4bS2po+0d+gmRkPZJ4V6KYcvQfflpsah9xSlI88hDXXVaeqWgMJOwq41pbUgT+zyrzskh9O9y4eyL62wFeFf3VS4P2QlzOV//Z774npn2L6TJ2UwzyIhRb8LC5ZS9nIVjlK3hQmq98uDH7LftpXX9v9iesbWUFhrmYOVfJMaXlP7WYFTLDMefDrLIXH7QD6b88Qd+Hb9nmYoKr3PmqduXRtHWryVB2T04wuvCDXsyCkiS8e0aZYAHsS9n9ueFSrr5ImVvOrbfw3ZjSxg/yqa//6tB9cUuar2lc8fJzD7VvJlid1f3v5Pc8x/gJulhBrmRTy/2orwv7KNAqayNS7yLbsG8/U7jYUecRGHrd9VIX6Siz9Y+q2Xzh/othmTurA/j8xu3FAQ5m0bEdq/5rG/HZmnt8w9Z+/srYt6JaODduPOvYpeLYn04DthfqorGQSlIHX8RB2SgtHs6b9ZPoev+odnuZ+p9QKcI08Vb95UODb2uFEAGLnFtdNlzA5tHZuI0txeaLO+wJaqcvDbYIZ8EeMbybH8UzZBkckhN8aBVN+xksPfJRVrv0Le10aEl0hyTjTcR4onXd8T0d/rSOPAy9OnCcfski6BpG3jJu5DOqiitCVXbiKQKem91jeNddSk6DUlycdQK9pslbCAx/tVUyo1/mhix1Auj7ZsAj/SKo2XIfXc4EZZbDeYJ1rtvGAu+zUAeyN+VizxMwZdHJnC/vnsjla8pix2cFWm1fhjPO4fGZm9qd4/Ndve/yrvZUsaDaNO03KzJzvEwL8R5QzkxxEqulTppxmY/pgkN32wCJels52IKB603C/qRG5CsFW8LhP3umn7JeSMdOD2X4jvUKmbyX5P23zoeCf1xbfCzFbFWDUiWHwnmqEqIvzTmlckA/wKtjMmAF+Z5k156CPRe7MoEsXL+fJxIC3eeTdiZl13uPW9BEsB2TOv+NzNL3Oo+xznJzKce+dOXCl5S00Sj1zj4cj76lsfs0LJTGDd9L6p+TsSYWp0ZAo48ymtt4poSZlvT/TAYXcDZfczBIuCG/o3lNDYtGRvM4cHjlYDNDw1zRUE7dNnhZyidAUcNLMfwZdw3vGEBPCvjKuPxo9WaRIDoCFJxbiUCDSViNgWp+uEMt+3hOZDctEHDRxR2VkmF93N5ZiqZfyRNLo/UqHeU1Bq6bgbWiMRWV8hJn1OZI97Dvwk8qWjk4aiD/KHvY58jRgcWm8BxmT2+G5fWusKeVUjWee9JIn30d7/zdDrbKze83a/DxersARjkQ+EmKKAGfyfEhiwBWc6+kIWJQz19SWKZL1U5oLZerm3DT2o4MtLxkNwbM19xx8F+Brkms/YGHiUUe9+h9CzCj3v/Ml0EGRyZHTH6rwK279h0mAxYcU9lplh0tlkQ1wjenJWjDOL7m1bIwuJIM6ZqPPTpT8VAJL9tySGv5p4yaJudd8nUc1jjoR+O4M/HcNvMB79ZHZ+NYgMy8Cg0doBzN/CHwAaHleVI71NFPoQHN0JaD9CfkP8OMoHVEvx+RBev3IBgW4MjPG+Den8rW/jqBbFh4rmpv5wxFYUfArJPi8gy87gqR50ig54YgbLPWomELAdAxx7hJk+lO1Fu7wDfYBfDNY31G+pbTFBIVPNuqCadDd7K+viMM18nGoGfjFn9TZAOskX8cVbyqkAWmaDfjzN3M3qyKgMVd5B/dzAxo5rlzNsXW5iw4N+Gu7gG7nlLflqUBdLaYlR1Nfx/iZP7cvjW16HQIm+aIevJkOrc4LJEBHns708wpr5VOtj/DFTY3ED4lbLcwMyN4yMwVGc2dY9ZYtdVKR6LJSzbwDPG8GeomYeyUxtVmPXneIzjnEd1MrVMfpU0TbsS76DbxXjNdyJYMXYWerYf8/8lGfcktf4NtOfDA64fMKXrmTcRJn7NMxd1PMzLwukoc535ecPGUof+8OXudRAinBTf/SMfNUKGnl3Kw8xK3Q5EDDqaKinRtX5zxUBRM2kVG6gk8zfU8nNfpadulVxpcH4JqV9qhT4fY7LUBvmzgckiof8SuPCMnY9C1RM2ELAW9s7n3gvfEhszg+IfR9HiaUjZ8PWkyUwr8nox6+hZlPaWY5mz7cfvHKyVSh9ztHPLNQmjmLxbmfEo7+cjgpsyvT07zkmsq4fRDe7lPexicGvjzUAx084OjSbgSPeJRkDdIfwGlOGl9AnYAGtB6bWngpgVg6w97MLPs7N/PKNQH9YbzL45VTYVdjv6pYU9HJD5PjytF+aRh5VCgZxWDHpv8NvLfVDL3DneXAO+ZATM7gVzegi1wRKJS77TOPbt5ZT2EqetDD3MwBLMRIvgT9q6+koCkwKL5nNf6758IDDsSCadOvAidVz4D3wZcNytzdFMAtDhvQjgP2sMjcgyXg59QHA59N7ElUvz3vlMlVBw09AR/qe277L683/M2D5X5IBCrFoDyq+THV4CwHcgCuPVQWd2uBvtTQXClrN4BewPFbm6w+bVCSsu73rgYwKAEN0mbwDYWMp+EUJ5O0Ho8/DRCC7gklxIEfs3HqMPOuFPYSeLGgssBHh6YHnmagewMu5uQcbXNuq8OJTxsRtp0YdF+b/Gs+3UEfmhyBVRZ4yPr+AZubAq7+nfemTD0a63E9OhdHjP4GNN2mCpMdL8JFhOCJO/BRIfnIV9DtXGtwIXbZcauK0EfWpU6pzTzK6UlWYnJfZl6AZ2OA0atv4lKL/7sL+D2HJs6nuUcyMzU68E9BpqdWRA+3ji/2eUjesid4J44P58G+Z+7eEYO8Ha3EO9joKxt7u2Qm/x5pQvl/OU7i/cFintKOXFO2fZ2Z2+ben1rW/QzaSoxGN8wfGedjPiKX87Y9FxBbzHOxkKej472BnzRzHEw/9y9lzkVjPzxz/6icJDecX4Gm4fGUNC4Ky46tecxfe/lIwNsD/sG7kgvswRDecamtjWPyCpTpUWN5CY4Mp7fjefRFRpOecR/4E/aGMycS4gM08SLRdAfdtYBOcQ4rGXPjPO3f3KxXnZQjKCHEVd+sz9xm2Nr1KiG+CAXOq3I72RHdP2A/OPnqD/lI5qpL+mZoHfmcB/CnCeCVOHEyN2zbyXw7p+FieH45ha17Bo/JrFcNwnxpevBmIXIy8PO0SJ+ncHHoYI9pEXpsTE6m1y8d/7l1336d8tk+cXVNg70DsQHfsP1JXWaJCPDKkqe03yJsTVMTeocqwPEZvFJdSPqKeSK2ndjNBwxfC+L+CrwaHG1QJzFq6YAC5uihAoenQgzxqwBH5PNE1UP+5u1d7mpUu8Oqi2ycPNBb90x4Mre5c2baBY6bWfHKFbmBNr6ZMz8vRY3LOnWtrPAqhdpljDkZe0AscwQKzy1XnuHV9PSaemXOffsS1ma+lY4HT5F6dEy8qoeYEYpXHceyV6uZasrGvzyiXcOBR0Tii2HrNY60QOsFHFQ++P2o6rmselhfnRi9fYe1SM5M2U2nctAM4MOlBZjz27O/tjOr5OjB+rbIkXqambWA8dic67zwMFtlqZ5bTkyduINvR4cPZz7ZaRRa5S++mV7CSVXZk8+KKW4ssA7gu2Ff7BiTfgaaXfW8BUzqYG8sEPGL6D6d0talqfFrrO0r15E1zrSSQH6nyN9V4eVah8mAg7alvfrNSadagS9oZ9o/QM8kp6xvF1NnewqROMP61s62VWHolFwGtQ14Frb3U8RzPP4DLdTu6+f2dQZ74FzPeLB3p3gaCUMUPDdKd/NPGt6eVbSdAU99BfsO9OiOhgtXSKZ1lHkUPE3Wb3nmgsOh8qf5mn9OAcZn7b/JQGasnwPQh0c8qr8+nJKDLiqmk+k1Dn73pgb4t8eLBV7k2FjtF4/RxxnJzcFpTV+ngIYbC4/THbTVQwl8EqidS5echGjXdJXS1GbBM/h5NP8oqvZSvHpI3jZN3FaKcQ+vGLgNosfBOxGaebVmMpueqJDfsF/Aq/qn0rFlNZi8k8nMTSGg80zN0q0s2iBliciDxuIODkSf7MDj7Es9+Zgtr9p2TJ3lnvUeFoVKKktpYqkDSK7LmdldjZCVF/KrGZZEgdeqeQs+Ay3mvM/MKGuGyZPa1NBy2Vhy+q0/1/6X4OjAQNtnYiaV9l89TFJWSPA+diwghnDgg4YMH789ncBvnMeEpkVzB0zIUmtr/CZXWj+JmT1hbe91rL4pxEhOjZfXj8aW38DhBPQxTwOiWRA+a9gvr9xUMe6XDNAjhyhVw++s7U3JMCotcjH1c+det7CXjsDVDu+9qTHzeah/zSwPAd9sKEKrchEC/K7g+zAstiu2UQfawgUMCGmPX/cpG9rrKIfvQfrQ5mF7PCNelL0kKmjvtM/+O1seJnPPeGoG6ZpakrrTt6bfzjhEpBZkhHfaYfBSeLw8S56Yc5sjizYORc1D/J+HRcxpT3JFY07RHa/ymBb+1NjJ1IyhA/sS8IJ7poZErSAshi34Lz1WgX+o1s97bdarS0Izg+UsdEmsra8o2hEr3ADvkqNNLPimL/8Vw3tapTb3WCF4qSX4ne+gE5sJ8HfOkoqX9hFeqFw50pCZsyRShd5buaYPgKGT6YBFLZtVK+gLzt+ATzzgWsmiyRVR+4p567jyWZrau4jczmBxuQvxYckbGxb/aE0u+AfwIqD3A17wzswizjal094B98C/8kvlYC+1wGe4yQxxY1cOuciArb9/vsDewVpe/SrvZFgWIbZTNfqOBD45D1sQjG3ciOyag/6mTO1SF5VlpyqKzCymBYH2u1C3vLLnXPFhgedTMUFK1l/zB89nATpkT3ho51pZvECvfuYctF8CLP0G33fD2PwjNbZN7w25Sifr5PibTx7Z93SwwNv1pje6m67sWQrbpiHw+Qj7bAzdM1UYfnFneBKDbmHR405226+S49d8vVX0c4gLwBmrvZi9WSNgRYEK7Mqs7lWM3cumcfHQBC1Qoa7MrI3UTt1saJ5Hx7oKwGSjpSo247SYUryqI7YnR43YnCdOpt7rf+9lzv8/gJtNTfuHHKePvPvncGF5rGus/zzo3gbPf81GYtVf708WlhsSoyejrccGkzsMe9hCG/j/W4Yyx8xphLUAZt44DHx5Y7ev3J6PWrQ+8DWrYh+JAjSW3fZNLz+aDjEzQy63SF4yL4R9dcroP7ccdMQYaU3OamnOXkBXAyYezF0dsZCb0XasLAK4p2b4Z20evfqY3Rbp2HeFWrdhiwYnicB7AV8o8CDqLRfzo6HyQrjeZzyJa2uiWQ7+3m5B16shHRVjLlpykQHmT7wURMMzfgCPBaDlikojMzvilXsA3DTPJVdJHd0ezCZUhpdnXQCPaXSTgInAMB1wzL0c90/V9ctZJyfQ73fT67t+znlqA4/Has2FLWEfHsqecG6bnLXkUFsKHFH68npl48Az2m1WM+JDfOzSsXXKDp/OAZ9U4NtnigJccHy0Jxc0ESGhjWGf6hr2wimSlbmTrb62Tro2dxbaSzowG7DGqViiQV+OFSX/80S3R87wBzz7ajyYqR+TFN6Dg2aiMqkQ+a4Ad6QgEFvNQmx+SEM8QhznzEF5bgFX2xK4Rn+QMHzAvtFsbBYaSU9anwsP/Iqz8KVt9uDRJtjLRxl5eeqELkfToVn/rebOmIQPO/vNkU5yMvA870hW2/ul6nB1jqb212eCBsG7+U2MqVcVflCO/ilHpj8RDksqJXGaV31KDuzhUfffgzrmzoyAJ5o2WYFmJdCF9aXDejtowvfr2fTMC2HNom0LOo+AX2RNbziyjUkAMQ++VdqamlzAvFP3ZlX2f7Uy+IW9P6JLbhzBmvLQ5LP4sF7hWcO6W5fN0W0T1oGmL/6t1Ui+QTs86lA9UyGfVdceSlba5xElpJjGfAA8DZORADdz18w6mkdiI9rwz5d3iATfG9y9QCyDi2OmP9uhcbVHo7kiPHnWQemdC/zMLWyrce+cUbbSYXupC9PHFvZBYM5z9FprvlQB16QHbB/siQDyNJb6UYK8+m+AhtegW7gF+HJL8xmVLseNtXyLsR2Pq8zPYirrQLrS9HANVfefFrK/zxQLFZlzONmLOPTy0H5UDui23ZaVoP5qx/4WEfqunFcd/XwEnYmZmMOcyYRZ72ZOYKDEzYX3vJAOOJeDdwgndGawZ/Pth6QkYSLpVJB8gKbIc+qvDVeeCC3wN2TIHcAt089+VJkM9B70zgs3HgfHds23oWvp1iv5rvv3TTqmmxQRTeP2I3cWDjw5VpzQs8AS9oeZ0/JBGd9U1NeYTUVKZcY7rU0tpaD7J/zGphTb9Gh5UW3/5ZjJczS3OSe58V9l//kQQksWo4iKy3qGvXtC0wPH0yqRD/tCmrk8R2Ynvumnh/uHnZr7jujTORfMVQHs5wiPoHv8NCTgZxJqcjb+91sFFbcH7E3QqtOORZ4AbR8I4IMmMrMB5KN6zhZ2yL52+J452Kddm8HfQwCTNtma7Gvqe1y3N9yDXnWZI6MZE+PXbR0Dj15MLdMLo2QnWdm1MfiTqHHVTx5fTO5Od2YJkQH6EcLbNCt3T4LZgK0/rEPwLsmTdBArwEEUnjwN57eDTTIcTVdizg4Z8qgm3+CtT40TvnoEtSchZeoQr3J4ycDbmLs2hZC5L/Y5n0jmqC4f/YEiDntFmjr3DWbbIof9WK7hA3zhPmNqI0Nuzgpn8TUPosMRrI25E9ioMXn9VtDkW8yjJBKBeqTAAylDnOnfPutdjlAvOFnBqxS4mBzQoR9mBmXFlj1oCdKE21vDvLi0lk3OUSwd9K1CM3eCSxyShTrT/ST0K0f6mPWg1wTq6t9elTash76VK/7g0e/98bOOe1s67Vc+4K8jvCNzkwHwBf6u9lL1OJcUuNU1sz8+Hewm3zmVH+Bb/BxwsC78XAj5uruBfWMPKVUR8NezpHqqGYc9yzeU+h+qQ8dMoyPowdMZgY43s6AD0DsD3uECf9Ae/g7LMnOqTO/5hwRuyynuUydbjyv6ziy7N3z3OrdJHY8eVtBiAi+V4XDhMYkuC2XTSu0Jp4NMcA76Gr5jWnw6Jz6dzsPFOtrIqvrbHVwQ+Hi9Y8ZToeR6itUJNN+3Eq2QHdkA/r/u9SrukB/wtRYeNl7lTtG5x7My94qrtPOuvEMc7puhPSknA/24zJLx3Xn03RPPHIYS4AzyUwVJex60yVOO8oLsJdNX04ME089HM/71rOY8AGRGOqhD8JVBOxP9uVZ2kpQikaDXg4M1XzLr5gAW9Tnjz0rgPB/mPLOSOY/IAbTmHjyTk5l5FPG/pXEz4KfPBYNvxG6bs1i+6okAJdPF5NYxR+cZ216UY0dMgK/qETqJ/srYxIg156Aa39IIkWrAVhUqVA2tFHESYBfZTbhZG/DxoHNSkb97zNnu6hAf8zWZ+Ipe+hCebUuVq0Ietc/MWRD4iAeOdGzu0lOBQNciwUy+ReAXuMPfaYyZyVWUprYN/mPqNpiF4T2nXS7aWK78O+tJW9PEOxXkq+L+K/fgUoHXqMIeOKx1Kya/ckTCM2hF4pKvEvALPMtDhmSDh+Se2dznFk/LngNOPe65LR9pkfDKAS0HuqSxHvbRmVL1td3QEN85w49a+6978zZzUIrd6ZrTtqx2W0qYnuF7yFPsrzj08Hm42SbfDd75fz2d0icIFk+K7U5G24y6PlbA8xlvy+y5RabWsuy9q8mJBR0QsWj/6mEyZx3RuUbfnKmLDKWWsX+A36/qaC5PPFybToP3xil4qjuxbNAEZM24/hZCTThu35rd7X5mzDus7YWCJ2HifQWufAP/yIAjKtz5rzuODHPjt/7XD8D0POs0osJeQEcjFfNImV4ADsRz8c8pV95SgQlB+xWLeVCFP2crvsOfsznHE6c+kwVowxBt8mhGubNF0sIv3LgrTQ7Skm0T69/5DU2gfihvB+CItI5xZGYjgX51AFdzwDFSFrISrC2bfrFMX2SsCStFamosrExIMybiDaL9CNr8SGO9y/s//mK/fR6Rr3Px7lAxMQrfWrJ2AsxdICZAcyWTYCrI+BSC30SMT/3hud2wSM0pN30KelN3ca9N/lpkG412/J3vEPC34/N2TZ/vr/kpZkbKW7X24Kj0A35nx1jyUbMZfNb+WYvQA222V8N0T3vPaO8bcGipuOkR6gE2L+k5xAdcoDFF/7y6wwuoHQ+7zCIuT6hOynq4vDQA7IG2V73l4BUcXQ/+FH5HieSDcOLxjvfYlqc0Bz/ToT1o7ZHaPKzhO2faDw7r5z1ztoMyNdvdb64kLO7kwne55EUL+9R0ILJf/Rzc35zNCIRyRK7wbTegBVDG0FS7hFBrGyu2d462qU+bEtA1x7LHJ8IesD7/PBVeHnk47UvwwaZrEXgLLPg/G7TXCfYMkmNCWMFfc7LAL+EPk38OvMbLYfrIwFtw29RGoAMbZlw5N6fWnzZwBs16eQCO9umoN6dwLrOuB2293dEgWwA3ccaJoCOnwF9ZPaKPcvi8NsAFr9gQAsUgEb5hr4KOsk8NaCkSbs3slQT8PK0H+yq09lU+P0BaTKwn98aZP0yvH/rb7680s1dp1fktQdMX7ZfnydQFRZPIxDYn8V8/hwOm6AO45ItZUwaa9M7N/QPn1TnkruldkwK25v3kZ6YPOTJciGjmTi0NkQQsdFJr8s+hPmCE48xJSEP9CDjlIVhi5rLGqfuKjZuXDQtoloTVEWBXoEw8u2exLdSvtpI3+J7f4OV0rVFOB9VmTFopbVta+GlW4AnTpM9RaLEwu8N3o8oJVxJNpLQ2ayVAO4rXee/tqrr9o47UQznSNDcfSMDBYwFarfIjs9CahkDRMZ9lnFBzJp6GUsJvnggyjclVXg4LaHyThzITaf975IibPoYojXkqTF/afvvK04tOEXjYgnjYyayjydf72r6lsK8OjrmX+7xWjo7Ao//XC0knN5rPQx74/rlAD/Bqpo9L20Qka0Ke1OBNM9cPc9DEDFz2wXq3QEO/zionZZvcKVU0sA7mHD7XZHNC4N9YK3Lw5CZPMjO9/5/va2Ntl1OMn+cYNI51cUztCY5MHb9NjhbZUUumoD+dlCb5OcKV0QegXV/nAD/nTp3OoflvZOradKX5oRQ6ZwOI/JVklY1w1elnFS5306umND0BTd+D0fSELR/p2DxrU7egw6WBPVWBZy9tZGrNjqBhHrK4vLzeDb7fTRXmfGLmFeOGXzepua/5mglwjS8YYvmwzQXbe+UgtSq4BTqvoGF5B13uiLhcwfu6sHej0pW/9wyMlk8V/LueO/JzcD5f97BWPeLdOd+u9Ln9yez0CktVUtDjPDB12vDcQ/NQrGU1UgIPgKdWm2KOv1Tk3U8h/6hWBb7XB53drmlxsWWB3syshIPt2wfA3jP9m8mlmwA/aGHOT4DHuhb8aeKDzj5WVF/rUWLOP+2ylz94gG9lJX7GU0tElw2jxDf9/4HLg9Q0lWd8ycCLVdbyA15lls7ydo4BSoT34pR9xfoVOOjQ9O+PqpDTAXxN1vMIfL0Pf58533B+vVwgBcSYObMuMcWW5P8W8Lct8PgG1jUCL35NA/+nZv2GOHaH++YBvqiT8V+e3uNgbTbcwrNc/93p6H9IS+nma45wmDxB45mZ8AHo2RP43zXr/EQWCjQhjzOBglL71OR/C+R/ZbTxaLz3mgGflO1/nALiAsfC3z2//PKP6PxeFnvwNpMN/G6dY0lkVJp5SFPucMBbnsE+mMtBl4Crx5ySqirI6RyRHPYVLYX34FyZ/hJp85xLHkkfMPBIxHKqTN4o7LdXnh4BGsjyd8C+ZMdpD76uPQE/J7+z3q1tWLs8VQHowgH0udj20iaVOT8/ulJUIXjwLn0yZjPzbXMzT9Btzf6WYtBPFaXPc69f+tBvejScBIY9goTi/ihAr+eD7uouMT2rH2WfulV+c3Cv0Zkir7LNnFziwzPdaQ8+G74RDlAoI4TE4IHXV4MK9I/JmVQxfM/wb5Zfcu5N73D8ReN+o8AHpd0e/vT7A8M6gbYy5/HH0vUPePCuwCfgOS8u7ScLfgdToeZTkEzEJi044XtWNIDf2gId+GbmxjO2tdLh9ro3jxUHLSfMu396hHkgyEkPnmMC3LpTtv2mgW/L3c0tna2ZtwHa9N0BDZeAL1hSjQlzJ54H+JRGZuZnGxJroYKD73GsxfRi5xF61QZueOi9UctLAGfC2tncwbNw8Hd+FXq7swD9JZKYOludR5//nfmxZUOt9yXtG9Oj+gNicAZuNXP5PmrgRuCEjj/nKrewBK4xZ+MvHbVw959VD3N3FjZlTvImOtgXw/JxsIw/D0HzzRvKSZwNSa8GbOdmmoeZQ1fgEmL2Knv14Kanv/FbRetnDI94VLJZm1XE/+yGza95N6BbUJfajZNHEB+95ZmZnqZP0CkEfaynt7q/eJxqeGcOGnZ6K6nKTvHepTH/In2S1sHe4eF845Q8UpquNStdDOsHXtQnyP/+v5kmN6cSdpGt/EBXwEDBIY439rkgGTH12K7KjrA/aKzmyt67DSwBaOYCtIFPEdk1LCHELRdJQVOPyuQzu40AHHOmq+CghN3LSvlf7VKcor0rEVkgNq204JcziIpqxHYNXGt67NKB30wOo3TsqWRKlow8s3FvEYOzAWCi00OsEJoiLMx3BJ9xKrnmyk0YCXGQ9X/vZaWODsAjOkyk6zlCz4YT02dsOlgJy635i4ntpCIdsNX36yiJ4blnQvFFxvyRRtYqIhSWY3Ki8Dy1uMD6JxO1LPccE7um5drQv3oHnq3ouwYfUw1m9jTuSJDsZIhJhZI30CXgkhI3s/DKe31R1ozM3Q14/1MF3A2+sDtreeTo4pVmphRKQil6OxN7Sw6gYzn2cu4Xf7jhbEu2tmAawGM7pj/V9ge4b8QBwXggH6kduhQlR9arw4mVNjNnAhbfcz2ZWQJfoKPeGpccWGTPp0I+sz6zxNjGZTEttAdedP7uU3Ky+idK+aMaDEfxt3JFJzM7L+3nHehuyfL5o7aWe2b82aDbcwx+30YxczXlkemDi7sc7R/n8P2au7pnHO+wtb+ClpjJCrgQJi+vd8G9jZjAoYQ1wJ0u5ar7NECIjyRn/+srAn5hViwDvQFeEvYuNX4d/B/od0/qDPwNR7DOpt8DOsf7xfSkPbHpzlf9JZh+/VaSj/JEQO8C9uqqb13uLBHnF1txdAWNaDFn+4TnXfPf+x2IPffTzJ2Lmlh5EM/Ob/48QsHRaTwCcWB6iVWWfasc+9AIdFf81dNpBhUN+CPKhUeJzB2dkQgVoIP3OPzPNxpcBkxrQSOMFZOkcXCK+ykVphaaLfB9ywfbmbxBKeGdASfkd8W2Po7lQZq5FMMrH3vek3h6pODFTyFqpTmP6u2pDlqrCpK30vSVsd43p+ATIhGn54BflWtqeDg6Wh4/i/ahkL/IUSZMqA8VTicJEcvCzb1a5V0BHkv++cq30afCNCflHeDBofqdQQk6KAAOj0uPjDI+s+R2NPe7keyIPYG/5V+Vzb8ru3VP4TZUnSxLKp3URkQAXtYaV7U9oSYy8w4vTr2q1zmb6TdOQDd8E5GEBEmPj/9s5thz5lxsHk+38rduvt1nHcTd1+1Bg7YDjU8yjjaSa1s6CJW2BO1IvmWY2OBNEsBeUdvokVt23Lj6VZ8yUzMjsJiognVJBf84U2XmWd/NbGo5JCZXDOWxD3rw8ijFBHzibQC7UG2ysxyMzwH5Jn1vVzQpiDM/zHsDD47SacFq8o+Gke9XDgzr8D7N528MHFtbn14jtlpEuKt7HDJn/s5hw4CewY3ThqkF72snF9PjK9Wmfym6qpXss545pbn/Don5/ez43G7q/8fUtXUpyjPdv0RAerWXY0tAlDiEHCB3QFyNEJBWWpFf/1V6Hvv9LmbNWTlUqvZOqvZG4i8NG+vR9asPIDxdZm2cUGnKMmreaIdJIcY7YzHkmmlftFpwrr8gp9yJbCIWNqze4m22NYyhDa2X+JvkOoN3AFheHAtnmqXZxCK4PVlAASNfXhj7G/jWWxmRghrta08lCUdWtxQfXD9iUeynSM384x3ylFnUjz9K8xdw+64UcQFZ0odn4v/4/IT8ul+AR3Og5y6Z4eeQbXfPxBSvvWVRR/Gdbulge2CZS+y8ZfTPp/0C3B/qnrNeAR6yWpkfkiPJ+bizaz0xtrde3E5SFKe8sXvysJJqqxXvyGDqeT/mqRg3pSdeOhXX1J0A716W0s6/yx8tux89HFiBPuvRTMTY/M7ewjpOHYEtLwdU4RJJgX82KXyfPOUjSWDNyWy6Jab2j9kUnLqH1Qh4ra9c5yMiLgqKzndhDe/09vOxR6MHmIXV/AbvGDPlrBuy6L8Hjyz1wD3uXVxlLksdiUEG8y7rNCWh3qYIX4G7PwjvHmWrHYhpVuTq5TeqKiZQOcRp1c1OyjYxxH4DWH2nETkfMc2URElp++QBO0MOCrSLtsppKOnHLOXwGajJWNfNtT17k+tEuabTgONrq03jxKvM+Z01y0WoW+DtJAl8Ymf3eBBb7aNzFSQPq3GZtZRqqL+H5+1J2uSaMAOc5c/9sNQP2TXZUfpt4uissr5+ZmyPHxMvO7oquPUWxsFJ0Ffu3fOe9pDb/QL4KLwTyEHkyNrOVbbHNm9avoV11HKHeJ8z4PooEaRh4TqiwDN4OPalo4nNvVW4u58kLWkw73/8Tjq814AtgRf8+ozUzuSzQJfM9Y1wiqeC9Ag1YgdxfC69xEuQ8Y5CfLB2M5bO7c5boapI7U4YmInUW8kfV0CEgAtpy5YNMCGSZ5JOBwd3heNTwEO//RuQg0LNL4gO8Up1TScliY9BvMn61Z0jIPh5E8l8tNq3gHtIAVhlBz9ym5NsvaFhXCZe6v73+4ZielcBfWZhTEXnPE4Cv/DGSHizl524VB2y+jMNcLM91LsbCeF5emKwM5zHQOcHwO0l65wjb9DejRkxG5T0gh+3DWC0zYXL4FEB7hK8iasAMcA/h0IKWj/ff+dTWIdM5qZQT0UAOYidgumNGeypYP1IgvW//fcBH9P+3afWn+6f30NXB/5Dt3aWLlgl1pM38A8WA/3TOEH0JAirJXDjrfjVJDxZHWjp41rqDO4pthrENcABHmFTYXgWkRDU61yNmzsNL1dlezasD3wohiPkQMhduAybOevWH9TFAx3EOQsLV9re4HAuKXr1wNhzPQFoPi5Jv0LVMN4h3pBodayfkwsc0vZVQo0QTolIuXfxHipJAv9+JJH5a2dAIW/6SX6Z97Ca4O98dZ7uGp6x4je/ylO38MZX/eKZ7UGJxqvtxxbR5s1qlcv2j8MHM+zddMVakdNuXVBhPfeQ9QfymYuZYPovxATUNJPD/33T3qedS39qvs5O2SSzfCMtp1Wmec07PPhzalkeT6ctGWk/zT8Y+H/5L2A51G0nfrCeooOrHonUC/BpchpqHzBgw/M/19LDTxE8VjKiH4lj65hZqa0+p9bXLECvPgdccfXTjwb5yasMd6vWAGaz89b6CPUvFiF1Ew9z3uPU9olA3Hk8aCbbu5MsOktbbfUus8I1x9qJ8yoXZ7Xt/KN8AA/2PYLFq8/c7ukdZYTLwiEX5jUp5II2gYCymsTH3PRMNudUNsAf9Qzc0Z4pWpy1qBB4s/WUd+dM4mZPjNoTx2o/iK+0Tb2qtV5U9dOeP74wdhlOijq2nxX/FWJzV47ZiEgPUKMj23cnBmMqyOnw+QiWkMcWjWovZknUxPB7qCuGaBf3GYshR8QlC5WwfbXwb64EcqTq/d8+82RoUNH7iR7GMRvG79o6cGP8rbkaT3zqgCvdS0exQsB35bqppPpbdfRGo8Sv5GTzyBvJiScH2yvB78eAFnUe761mrDLmzuX4OkM0GUvvHNMjXWLIc2N3lOR2DNK5dhTlBt9Yaw6UxYGd36iydV854lmg9MmjeGBOHGYch3X4PlfMjBDff4kXDyJsbpo3mxLhoQ5f+PDmFl2cwtqcuUiWAo3hif1xCfp0JKMHxuMNc/WOBsbu6ceEpyslDRW52lXPace3Rmp3d+dCL2kHMJsj/xgGtieM6wDtpFzDu9u8zokAwzVWs0ZJqG2Qo3JuTMq2ZkuBD2RsQyiOP5IOIAwfhXbIMwk55P7UYQ4OtIP25aBJyjHEY2P9NO2aeZI+5kVHEtomdx7Ov/OwwAX2pJshp286wCJH278EtcGrljg/RjGGmh7VrvCyXF3g/1ufMMBZeIA6beootTh7UA58ZufjqnO8OlvHqhsz0dK2/lhPmTu9sE1GO/NVdp3LkLkop/atL45k8QrWxqNo66fIjUoGfa6RmmwPQylFfxr0Ubt0xzuRscWMYolvR/wHePDNS1pyrxw9adQ8qRh3vP3tP+wSVxTA8wBvNbZvrjhxB3C0yY5bY2f1IG+v+1KSTRKaRmHyox9lfRmYM30AJ8qyBa9sryvZxjHwMgz8lpOo+Qu5Ba6xcer+V5fY9jvNcivuR4hBnfMVYIgDF///TLHprcYXDdY3gqj1W76TgA7MnklDti0D4KMGcLGTWj3/KWE7x2qRWM5eY8Ck8K9eczfK6mcAxgOOh7PzegW85wn5MDlGpMy2qUcX7AAWWYCnNz/1KUSXFJmHlui7ZhrqFIV/RzwGfK3ONw0FDqW3TcC8cSA9akTw6wP+t3TXX9yZP1SfPEpez6lDumOIssqlWy5Nm3Wx9amy+362VySuMVyvG/89mQAwIo2t7hvU1FXWmbtkzZUL4Hg4cJMtocSlZeXOr7MAqL3Izqj8lVGHssAvy6Vzk9zcVIe3lROsUkGsTxNw0SnLgvW3AFwjlt31mDd9stR+Ip2V7UUl7M+j9EhMtuSLh+ppvb75oPMs+MUATiVGT4UC8NZapo5Biaugvgm3krQlkTAZxCDk7kjnJChz20PS2HO3CdbqG+ntOQR944HjQW33hfXF6YhTBf43ZEWkrK/qQH75cjoY6zsgTnbuX4yZ3betP6ak9qjPwgQ4v1baahTksNQWca8GQHNSK9XNt9P5tmJ93NAP69EdR8CZr5D/Go7NTptgTtrkmRrxmuVMuSsO5GOSkJs3UDvojweCUKQ0Bq5dJPwMoRXFT2Xgh+M/oEZ/JW2BDl4c1gF2E5O4nPtdIm3PENrZuWMartusBx4iNjv9v3Pzgbp2r1B4IjBnzpv8JAmt5Lqsbd9EN0M9Nm+MBw+Km87q5IluvEJNuyaYWknkI3ve/COAMaj/Oc11bPUZKVRaWF/pqY+/EvGalb5dmTt+SeuVjI0s+9qRYfwgGP51V69kS7zEbVDaEesdf846cklzc674dD31/ibNbJ+GiVWwWlKOcJInjyOs97SfOtaPDeBxLwt//c2LI9sMWbje0xyH+8VqNz8eSQi8v3tHmicPFajM9opTpMMKX5DupjfIsx5QCJ9vMargvngwKp6TUEaECBxPcE9XAvjQ6tmocH71ObR1l9xP2yaBnJ0WyPraNjseFH7N8QU4rWLuZGfwH5BDHvVCzsS5oRoJ4BBiglzqZVYLPJyxYELtnTE+CQ25BzAnh2dtz1+c3/75Q9kJXwr1USOSC4zT06AawGYZ4OcHxOXE+8f1GG3+qp6kdrdHCVOcepNWAT0AD20TbM8GBMAjeqVBc1WCBtTbRFLsbO+PxwLzuq9/ukmQZ0QuVsdIxFW3A+5EjZ2nIMHNz8J3v7R7VoHOILevRBCTVAJX7dd+iYGeAFYpPR1aH0pt+y897bFh7DLghTyYvkWLXxhgD/wMsPJuVRkipJyux3D6C/X2rQD8rocUvkccedekgq9HeOeAoXd+PYxevY3vpL89klZkdXa7ixAwojC7cksnO/sIz/+cdCsPeO/LjwO4tRgpimfSEUzk1IoeikarvgSL30qb63I7K2u9dFOr9dWoYH4cufjW3RoJbveKxKbqoY4j0wOeRTWr77rzJdRM+K4Y3vXnb09FavUzHVxI/Odecnw+Wh47jH7hvvtiSzuak5QIQ/jz/br3hFcgvWdMv2mE7xlLlsQzHLDnnXDFgS/ae/a19+euFz3Xne7gx8vvxmrFAWMXm0xqwxiN0xw4XT7OieNPidvNZWQKGf1xys7c6og8rbeb8uq7YvxKQz1YXRIpEwQ59VEMqqBRnJYmfbJQvNVe6tTGvDB2WAbATYaNr6E2HrnzSBfzKPpP62P2AGy0FdtNWgcxJ6Gdn/e9E07hGcdOutANzak88nRm3cSFxAXwSYdFm73wdnM6iC/AJAfAVq/3lZ+C+G/B17zk8ZNZb90OBQpqmpLvtk9MFHkxZ1tqz25WhVtYX+I5GawXHcltngGsuIJa+7232prwLLNAzMDb7po12R5tVgfAFa+8YX3/Dou6QVwB/sTCco4E1c7BCe5Jh4XVodPeGJChWdXeH7hfEabs8346T38JI+7BU13R0TNxi6f1UNNW576HmDxbzUfxc0b533f9zKH907v+0cJ3jnniAy8ptbPGelHf3MX8JBVLnLFMwvlbSP3GOsAJHu3g5y711EFJqGeouAPHTIqBP5S8uJoXV7oVG8jpLw5LM04eCtVL0k2e4tajWTunYdMc3JubBbtrYlVG+5GQ3PYdkh39x5EywHV/Od64p63+1uf3+RQ6qOLx6vQxpYBjYx6NVHuNmzjkhQFWBURQFW0aqCq7YqCR/nhfHaX+sv6nBRd/aWt78qcbyWElbnHwM2Nj56Xk48q3O09FBKoBB3wUPGvbmxfGW8Www/vZnkV8ED7+nleWDn9WLJY/Pn+GzMBSktPQPGtnfmo7PwTYtWR4BHwQFJ2ai/5m9SM+lIuB123cPdRM5gRPElzuCdY/OjE2PxJOvuE+PYp/Y74tunVCovFSOgh+6A8NPFXJ5smG+PsYJgszl7kErHeKmn99Ya12WQ7rxJAveI/Z3sPRSY4Y6oDt0bH9uvOPVrlLbL7ys/Ov3tdTtg3gXPqWuX6emM+HQOk9QxdHW98hZjVbY7dw1j2s2RzqbAk845JK0hbeJqyHZoT/Jw9Lc7fzAcp6XALPScRl1v90zDziqNdsoK/7Yqmt5nVoVOmMqOQiELh52zsXwKV6m2xxUW/NDmpWUC70zlqMaF672TbuDm5xP2Xrb6hGzd5NfbbVvOohTwkyse7iKBQ4yn3Nct6uOvRTNagzPCtEmPUPMZKH/HG0z9EdnbSNjyLikMcbL7U9mqxJAYPAugSO1nJfYVVoYeNtvsutSdWW30lLTeGi55Hfnlm+efXbwOdCdgu4k/SOPStrAN89qwhfWfizDw1cfr0vpfNk7aaAtbbIfkrsHhaxuo3Sej/jgEQEJ6a+1t7OzRxxlVEzQX0nhKNFGPzaxz4wY7rKHZtawKqUJgU8vz0G1m2C8P1CLfdgckv3VBg727ItHDRQD7BgTty9UzwrZ+0pZ1KZUfc61wYw+gpiz+q8EMCxLXz2q8/BpVIJ0q0jghpeSxpowCuqVRvlkA0Lp+HIOHDUeMOBz9Kn9RL94/GfHqXHNfHoWeDuyfp3yGmNx53dKtsmdyI+70l4uRMU32sxvmb271m3uh9DeG/OHAM/OlL5/qDAd+wc4mEhCclxWQnbN6MCLvGed9O+DoIFOPTe6hfBdz7KITZlSwBJFfeD9RrEGJ5RbPuzbLZ8zfh8/3hueLHkztolbY20mzyY9wlcrnimrdUTWX/I/sfv3vLKBbgLcOPC12HTZL3O0k5FELvbU6sKeMZfslVX4AQpxO4mWxQvHfra+wpkkKwAoFxlQLbUa7r0Z59mcqsB8sLCHR4Rc5LC047yiUycrA2gFlv338LZu+sk7SaIRcC5gNqyPr7sAWdQL/GZAZ5vuYOLX3tEI4n4v7M01CSENRF3hJ9ZbhqqW8LpAD9wNmw8wG8Fbzc3CrWrGOLoFImlzv8s8GcRoMX51GFHtRrqSLfiAuqq9ShH+l7A2n/VL3suDvfmnDrxNxFxw+XMSoR70atAAC4v2nhj/cq4p98oxMExF1+ig2zr+jzr8Gxj6McXxrU+uSrR7gzgt7GcwJchfAprXhjbekb7ZLAaXptJ9c6KejqpgAccPFNQ1jDuTEtiZ6nbeAWfc4Ua5msRv3EHhVmYPuxsUyrigATzcb/o1d6NJ3gOYSabI+t9eNa/+9gfdccfWdR8QB3rqWNogcalcJWdzQc8RBPLUbNutufBDK7/eAzjqe5vvvDsDDr+LgPMThzJJKeYGPqvV8g1GwV1p5S6sf3cr7O2Cok32X46gOfftO1ZQ1C74PeAkb4S/GeBHCpUYJ81Pmb9xc7YxxngcW5IzHu0EBdJEZAzCy7Wk/MGKLJPXb05hjqXvV+eOvXa04O6q4q693fJom9JzhfixX+rNvVYPwHn9hceoEea64CLP17KgqfV5NMf067Mm42y8STXC7MaKrk6Azfbp904FdKfFftEwFcuGcYvbOOezIi1KbyqVWkKxLcMigfghrfaJP5pG/faGRc7N5nljV8g8y37eUo4rH3IxDKAn/t3V9peu5z4pYndVAJeRphlLc3EtrbqAq89hyePKK47wNr95a7l1BFERh4QQfmnJ8XnlUFdB6z695S9+2mHjwdPcMvpVB7vi2UjIY5I0r+jdLg4SaixCs2Ucf2E2gagJFgVXfzCG4cqx5SGk1P/6wfKtdtZHtCrcO3IbbFinULaavbDuiqleECdtz4yJBUY0B66J893t0CxlwUTE7ASjnwEbEZGu4dRSmTUoH+17hn6Y3XXkmxJAVfiTbkQDthCpl4TZd4n5AYFOe8dGKw9t1Gu4mvIIaKFmmf78hFnekuWGJcRUdr5fBLzx6u4v6d2Hr8zHfCm1z7boqGe0B64OP7xXrR6UiyB3FoKcUlR57NsMkxYLYvVve7jpgp9VYVrqSXa8dYMSbSxercjlWTQAy6ERG/Jdrc6MtuTSbjsfvu+uJRjCfUIeDdgDUfdMl47BGpnHY1Pq2GiXRNy6w+1BW6+kE6e1wWRjSFR6gN+74/R6AqBvySfv8sF8I+k34WjByGaTuExFz165SgBawEwKJrVgmNm321OudVkstoCsheHI9wS8KivUyj2p4E+xbI5pGeIc+m/VcHDydwJ/2gubHWWAR+VMt7tPWKUrdsdmROmrq+ztsITjAafPtTxrYayxZia4F4od41hOf6r4dmXjP4tO7t3KbLEMr+hyagRmQjn7RH/mYGL9DTCeTKMyOqykufaahkCph2hFiavfNhkA1EqL1Yq/+MDfSmyVucZirsMqQPcJWBOsgNuT633GRHCSQJ9OEaUigBDfSXnEnJr4fpZAvhRYBFmXUOoU98LqH8cYlpG4rUf9VXCdQu3eVRtcyEf78sRMOVP3jcbnnA/pfaMxOqSDwnU/feVPq8P5aISEU7eKZwhJULGeU4WdxbUna1rz996uyHHoJmV9EuIh9csp2KQk2Rbr458nk5CfMiQ/M26da4Bp5wiPQL3S0nn+1DfZm5MAvlZpUMcWl21VK6Bq9w8EanJzq5QB+8Tjq80h/fQ31ZVOPXV8Kv7fdVt9/g5/8njW9LqlbaSAHCPzJ4tDKTJMOkAX5PUxTvRmnPFUlcCFy0WEUOsqRryxEl0S90GbmWaphpGiJ/uTj06Jq31s/ud/3rw7uHtn2undMcP4AxtNjSHeqn9U256Iedz6dqdZ8gbwJmoi3al0L3u0EpGyhWs6etcbYhLcuDKaQZ17uDwVXmevusQksvH7Xrij1+dWyLVTgnAsi1ETIt3Vafg89eohnWaOrdVKXYOdeIPEpmUwxrjAv4LtjUDJQlWGw0ruHJ8nPU/9x1UOflbSR3I8LaU2TQq+PzXPoAI1yuobUEKNVi4Ijk4gNslThPeeD/7hQ7kz/P6rw6NLztK7F41cNXp1MYN8IUG8rR3Mn/uNFJvVq8Navi39SAgnvUMai52juB1TmT5AODq+Gcmy/GzyvVD2/cOuR9iUP/4e534Wp6kzduNp7nwqhDl5ba41wOsy+ByrZ0psN4GSa4oWbCpt4ELa/UNOHBqPXZefFnZfeBudFmbPiqHUsAHdl40Fm6HaGf2gAlvIiedDtJr5tgz2/ledesQ1lSa9tNXFlgugsKCkyPE38C7Ea4bExGSUKHNAfD2a9ZsrIzuuUehFm96Gf3MA+ZpFz+s/zxgowRylRIfUJ/aDeCCZgX596rO74Acp45Fm2Mm1FahMa+C9+XUz9EB/bFeSdcT5Oay/fROXLzq8kCgvmbhuyOcH/0o26f3BnXiBjH9FF08WG9A2uIj8egudRRmXbxSfQz4Ap+tLoeNmbLFpHLsdzbbEu0e1n+x6ld3EQlZYvrCUZe0R6vMwfBu6gfgZ1zksQSuiAABziUwiXIJVgRoVs2aTcWbWHv6CFwzSgZ6LeTqsXemEriNA/X6kuX6W4WkP7iQzaz2qYCc2fEXX45h3R60vDzllig2UFlBHYBaGafcvMnAl6XVAJcCc07fEkBKJ/aDn6LEpddSXh6Kp4AJFSkdxy+dJlTYCG6ab3h/IpG1X0Xjb08FC2e4euNWOJkPi9UKn0UZqZmYFGIx7gGfoYJRznodEuszAn8PVT2uvWZRXXOQ2DjlQGfmkCvLY/iGOKJDU5Y8/uJtMVPvNXtr+0WxnwQ3wLTBXCIdnYD6Sg6fGcZfgDfck6CD4mYP3z2zKKa1EUFhADsjktkz+jrUKkWbnQox5PpNKiLsMA+wvAP/RjQ3q7v06sWqULzNBGAywHa2VyxDu6XqVQy4gGYcc9LFJOvntGhJB++ogDXllBB3olNSmkb+64FZB7SNhe4EPfWxzZ806Sc36+Itdcirj2hMls2sUWPteZSK0icZzFKbzQZqxyKyd2fv0f7gjU/IZXsiJ1K7fqchQ2Yd3SlYfywfv1KOPmioHGAaiAGWSoJGAZf9Fk4jSLD65Q7lcFkyEyvAGtbzzD9hkvA+RWThT6jfrgqtxwNJjtHnnYd+lA7Y6jB1iROgok2elWduJdbwd+stYKYodT4dhglKnrcV5bhIot2r7+sjkdMVnttVM+UofnF520B++eNpwHB74HS6w8HeaXoZKnYKaJwM+Jsj0Z46upW9bkrPMBr6C+SMu+rHv1loTPkxIdKlfu2Ynof1i8PuoLB+HIPPh9XIFed32+PyUIEeoNY/y1yYg1f7aihm4hl4N7Gr+Q4lnoJ64IuEp4+ToVh5zXNv/ZhR/LZ3SQl1YSBRfLUeVFSOL03Ch2L4ATGPAM+OiXvzNNOrY7beH/nnCt5TWuJxSHm8LeQ4EdM9sxCrwiHc9luUHTmnEFvMiQnhFDiguJ8C/mBs8yYCWmSAP8ro1wtpUy1iplHw1Da3OyrPhLnS3n+ccjxXbINOW33hjvFPBnBR3nlHlvqQr3yS164Oi+upQyzBFJ7CFDIP1poEjAc5RzvWB3IFfAe99m2e2XNyoQ67e2+8alEAR9KwljdXILsJlcWKe/HumJtc8XhmInUAe6an8zoFrPTce9pqy4X1gkcqxo8aF/cE1mbVO4gv6mD1wcT//HzDbMF5yTrIGI2Sg8W5E+UBfTv1DT0F5kH41HLcIPFc9wkzzPo0ARZRMh9byePwx+/0n3/9XxmNP/MswME4w6PV9wWcil41ZXOK6qfVxKjEn0V83AA7Wi/LwKX2vNr6obPA9s3fE3fs+ILfSDe9VUzFFWreUtd6F+1WBRPREe48GTo7p5DC2tyUQn2Vwfqof+sX4Ci+8muJvyhSyakjb8BD/az/mW9A8A56ab1dQv8uIafI3oE4DXyoY14dmQcP8LE0aoE8lyqJAWOLjcKAK7eUQ41UpFt/lR1+7c8PsCbtfgPWgflQ28JPc4zqvl7VZudkHaFJN98BY8annmCIkSuUnWsWiivnYhLO+xNy6IG3Gwk4C2IeUOWy2Z7azU6G1O5t7svoV3PmxxsT8A4h4RjDdZByqKGuKr/COMw+Jgrrb0MCPAlDthw4LMnW39pdC8jDh72nrNY/kjhBhacwXPNEZcyPXLRaxnYebQ/v4bUveoX83wPWD4BT+IAjvqHGJvXWHEvLZ2ANEJciiL/HUdBGGXsmqJ7weYRavwSoadxZf5Ds/Z60AWB4avson/WiBxWRD8CxE9zzq3++3DuzoI7/XaCN1b/76YXn3frDzgydQuol/Sw1H1cZaxrACTv2XC+nSH1XH+uMYJoD1j4DVt2nQpwJNzvdQ1y1TX+Ad50EwAc98+ol7rVnoO7gvpAasGq8ZIEZSB9/c8sTXfKmHYx1HiDAAyuoP/kJHmQSkm94+8csb4ZEAH915k3pzhA79cPOVWpW+7zV7sG1/o3q+Zujcsh1XdMApomJN0ZEbFY0ujyLxdh9acCypIC8wHWY2vOkRgzBPQnXgJE21qutKXp1tnPOapsCr1Jngjc2B60YlAGIkY63vxrIW6tFxaMACStC2TUj8NHRegVB/Dwot/VCjFLO34zrUXb6jbnrHWCW+LQ1zxqPjpZrwDTinPWXFeSah0LULQa9wLu+SGMKWP+v/ihbUzkf4iLLyRvzxoKe164Unw5dhCSt+qpd5QHPGWUw3xLXvIlQ9fCdx7KvbT+fk/Sr5RhOlxpvXLYljmSBxVfPqr89bX9gtRS/2n3Jos6VATwE11kwEln9YcCB27qnKxnODbyegAtKC9E9014PDBBkYQKr8fMsI7OrAL+wcJpoNkG9Sh9l0MSym4+wBr5PYvzpOXzdlwxiTzt+AggK6mNx1x5cHzaR5nRkzr/5L8D4HkNNcoTYPoXoTXVzWXNfWk9j2c/kx4fRYGNn25P+8yEDBNdLPkpmKNSxl+5cbDXDATNciTSZ1RKVZ+uhPE8ln7ZQM1kFHDJjHbLeapaDcCa+T8NmZTVaM+5ALlA3WG87wFnWK75X7rg5yukJnH9HHaslTF6xceF2top3UGeSK1ShkQ2x4e5uxXDcV8LcpYn/8u79qpFgkFsuFHKtsjh7a+fp9HjE8VijT4+2m0Jy7CnWpNajM7MeMl4y7x394kQHJS9OKh9ztcQfhZy8slWwRkYj2YaTUAD3Nx97uyf0M7OXPiAvMWIarl1/S4xOSq6uwEjcI2tMBrgqC8Y2Can146PS+iGF/9O4Sx1sypbfkyi+secU0x+9bHwVfbcSdg+vJTcSkZx9rP9y6adwnQG1cyou/S6E9onVf7M6aDkOpCwW7c48zePc7rsDnkz0x+3Vb3O0M/5sS7uMjx/Z8nnXQ/ysO7sveHuQfnU9BX6XINpArVeHhT9EkCwWnxy89L5HzS4Jm7kwl3vd1c8E1hk8kw3LE6gHF+/gqG+Imdd+FEpy+gSMtiTtzgNuviojoeqITMA14Z1YdKmKPTBmiXf3shV94TqAzeIu7dbwrvVVdOirWujzlH8+ykEr4eoNc25O5WCr4T3UiL748hOep+0hPFDZRLJ7PKgXB8DZdpDL7FwQqwerG7I+ZlIAHtAY8nNcig2rO5ErJ3mcAoJFcHlmfFZl13S8M1lpTJQBtbGzF2T7O+e7IxIp69N7FMX9uG0Ib+O0Yt2d5OO3CiYXosLygY5G3E/O6wOPFMTmH48G6Mi7z/uR4RXUopSHivMesG6wexDbxyHRLPsG2Hb8ui+/chp3/4T6MCjDlnhDWot1gFv36XySkKscpUigrV/aSDl3ZEDUP41jsst63UGNErLlCDjEfJQUcL7oIY90ezc+w5q8K0+/zrKfNSRkZTZpKeKOMOBALM6raHOWLJZ1v/KZEBfdPyAux6h4Wg+vn733LOnHjRYN5CHNTzLeniLSZoE/AVYoda5WArjZ8WN95Uvz0iJYAFxtakxywkd4RtOxGsSBdyRJW42IfW6tNrJrPmoHfyVAN3WIutqQr8wzJfBAqBgjrL81La0/c1v/9Mkew8s9Q8kCXDsk3eXFiVKohbS2vt3BaiUg/qGGxYC5fAncn4XpAvXLqF60RfZufdIk6buHwM0e1kKZeuLwT18bPaphd2WdEXWgN4lpWBalbo3Vj57HCwPYPnDR0UN6fke0f9zFstnVgW/KiCQqiBfRa+vFfdUAZSs+hjKP2VFw4MjkQEKrw+sDTyE7uJ+B5Are8zRBHQdstv4CTs9OHy/PhduSumu/ysVTtVY/HnCyFJEIxKMwO/cEf675zWUhAhxogMU1Gzujp3qcCO+Prx2TyRCRH13sYC2oS4geCg+w91CGaF8KA2vttUd0czPZtBA3gLEeLlu6GZ7V45iPm5RbnW9ytJhFGjGVAb2T7cbuVzun/t321XPAOCrr0Rbe8ZHzqVfwnIFfPXk4LYD3VqchgTqLXj1LYSUtrkZjIeIxQ3GcAS+AGkOTqCFlZ7aZS9OqjUvIw/sSY+ATfpDYPli8yTOk96lnzv/0UmInadUK1sMA6/pWIKjKHN/ox/TKvVvlBCstC6duN2/wDL0j3gQWb51abvnXETD3G2uVr6O4zyIsk1wBQwWu1QrEWkPUx1RAbs+gpoflorwywAiulQD3IKz/nHUYv2YrcsCiL3152/NySVpylgFdJS6s+YX6xZLMaf+5VG3nQ6wEyhn3KV/7sH56iJNAd9p6TxenAJ3JAu89W3tEJP7BepoFlCbo8nqGHfzZU53XHfBikkXaT+XlftpioyX54I6zyrgfWt/pU6AF8BWAOZrX0nrGNx1gv6zgtFf9FGTP9Y11pKzbhqiOxqVU3/UiaMl/9VICuCOntHsRwLMZnzrWJlfgG18F/J6EfiPDAHJ54ydenDL0eT8gICJ501E+YzuflnXrv6XFpkNy5b25MqkPTE5lyuI9DQDLSfTa+2LanoNG9Hzw4kUBd7f9zkfM3RLqUMnt3rn1wdnNrG2OVOiP08e7L8PPqw70lELNtrpm1EkAu9IGauOWBqMHzznV/bvPImKy4VdrsZcyzhKsQs3I89RdPGX1QDrRVQI4UNcMTIoeErpLuzgtnHlXms0ldSDOFv2t3IcHOWYqvM3lsDSN5hhZH8Q9Mhc5kEfKx03tPl5nbXuITXwKMJeAARL34mtunGpQ7kli3/pAWw+UOidWv4QAl7yeQny0vDnJrV9fYnuMaebEWxLG2Y//3bB7wq+L07Z7km0B3I2+ZrK+gb9Z3e/twStWB2R1q6ZOhOs25fUM70kmXFhtuEjkF4cNqVuFkA9R8SRD09W97UH/8RJOq2F8UGEiATn3+DHt4NmPgNm8bIlf+wBL0SrbU3X98WAPdcZbe4Y294CpVT0YB3AwzsIZsG7tnwArSbOxnBbWFu2puCxQf2bGRAKY98q2OGVdYGfaQi5nc4xosnfeX88wgfrOS9ufiNJrytXfeth4e8ekmduMgHHQEdOVdhqpAnK303CA85H1B7F+aYDBMsC/Hz/7j1v4G2f+ylh8LKyX9xauq1WXvVe8zhBTeA4XhTQ+hZNTCGM1LRQNP6Em050IuofCJuMfa6Q8Ex6QakpXP5jAPsXAaTuSpi39roSwGio8C+IL1N3vUoimbOOk4D6G+HidLx8JJw3v6XIaAIs4Ojpt4yPdAi+PaGD3Rign29JRfpEDPncuM3eBV+U6KBer46Y2tAuAj9Jcf0x3LgjVUK8hxxVQYzvdFrav4ZXn78C1ATU0kwj9MgnTuQoVgrW1yhzxpHn6rO0Ma0spCa3vPGFSQi5n8ZQsu/n0g3V1WGJTlL0aVVtfbYwdA9MevI315yF2ZuqVN+h5KiH/B0rqnC81gtr7twr1hkPKIkbQSj7QAW18iH1fDqKtOjUr4AunoX7y3ETcG5PKnRvAcMAbrMaYbqFO7WUr8j3a7OHdvHzNdoUkj9pTb5VHryrfLdxBnTBxm9nZpRbSVjRGKVyv6sYx7W1vAmay664HJFK7J1KFt6vidh+l8cgQL1BJMPCknrtW83/nsfP6tc/2QXlt+e+kOeGc+0MJGKZ0bK9q7NY8vVfezod1mwK3gBw2Z2n/cA8LIYB9HzwIfODHff2j03FBh+e7oyIFiPWPc3AxzoCDAZ16zYywg0tjwJDI6qsdpf6burOC+jj9zEaYmKXWTsadnyXb2KmJhLBPpD1t6k41J7O521le4H8RYIGutDoUjv/PiweLpgKunYW3V8y/pbkhcM0IcOsDanynZI2gJjq0H8tKjJHY2vNmTJLO/yrkWh4jcT1Fpt27+q3k1oep6TPHnNPzRKzGjdUx+/HYhfpMgvVfGrye4Q0V8nKVsFLrfv03Q3hMs4lyD0uNmlIx44otbuvtpj1iM9BIsKJtgv/0LCV1xaYO8S2TEC15t9LdwwN+v9gcZM9CgH8Sjehr/zBNZeJl2872TuY8h187dEdyoSqLx+E9UcAdko8OILtr8pwOxyjmItSXrMe5FvRRCGH92h7UsVqzs/UAthn7UQJWoh2/n3r0qpUXOuCvE+uWoltBnU8WGSo7S/uoTeESeJ4/fpnsc1WZ8VB5wIetX32umWbpzHD3LKB+2TyfmRgD9sY1tj52ataBesqBilP+2wPzN+2Jy1jxTNyfWXaTtWoHua8ArrpALH1Vz/W3Es2o5KdLhx2yPkJJBLyT4xh4CM6AiXBnkhyNQSZGXLmTULYfZQAOLtcO578ealL2dDz1eKe2Jjvm5I0+p78sF3PBzR7e3UN0UyZyPNE8Rta7N5GI2TnNcrvZVKIZhLG+NIqmjNp+jL+nAWot1LwfLDVA/EAt/C82VsyM5+K8jtQwAtfGX2pJfYj9bco2O+CNcZU3TtEryI7Ab21fKLogYreNsM1NncPDf7pdp764E7QB7K86tVU3waeLnW+SQfPqnXuUQhnA6Q+FDBcBcM9FBzKi38BhfQ4cAmrSh5Zid8qmOQmmS8lShxn6Zs+ajnZfL7T6XcqFuDHS7pqgP/7e9UUKeNRi0/+3Z14eADOwbXrnrUFs++mfemp7aOek0yLpHvcSQa7h/i395wH/VzuT5ZRflMfxwVNNiv7cU5YAvgo8NcD1OQgfHGdh3fpRuP4eOPILA+z2i0lPPO4TT/SQA9/qtrtnLfDL8/sd1irUk4drfVEqVCAAGrdqKBbi+iFgbgI4pz8s4g34wsLa+g7rxZzMuKUsvQseDzQATO34r72vRwJc7CgbJg2NizbwJf58sgHCTvqAPchIIMq5bC60F6oOxgP/x1v/quGy8KhYbN9hwmBNsQbwwqavohhq9obx8NNh3fhVLPGv1iLE4PmEacbMj2+3Kxa1A26wgnzdVA7Z/HolSZVIpr4g5739zGJ69fKj62h9IXtxrpj4KiF3HUV8yIbNmXfBve4/AZfp37NR60uc9PRbdlDr+URE+O6WEnCdgy+whkRmyHfVI1nnaqeHOKygSiWuySHvfdG2c8t8PFcGh3yhmbTxi+J7JaezYCYpP253EcWv8+Vnwppvq+1x2kId9KzfF00LV3W2L/YUWh/AZCWF7TcNrul/Xsy1UWUJeE05gAHRuJJ47JKBP5LWFJWkN2mMtF7hZd7YHpfXPvbzn1fy+51tzY92R9lZTwCUaM9slTt6J7G5poNWWf6JMsFdtagbXDeqt9abmKA6B9Zv1LMwm2uGYX1EfwCjb5Ts0TXtzHfyP9+ljGFlPTDoPy/Fx4Ni6qihWQCz9eRjvSdLcq+CZAV/SgEzeTp0ngkSS+mIhSA+W5+if7PGM+Rh3VBj/tqebwV4XvJ1k7bq+zf3blPA+HpTdegD1nPEeLqovvCk+XPXoS8zj0pYR2/84x0BdrBno3D/dHvCOj71/rddw8ILFuqkC/H0xmoDk62xvaWAfUSXCfVay1YfO9dbvUDOG0n3fiewclJBV6onE6z/VdHGHe2nYx12C+tHAlwzhHyWMS/1k97kNBqv1j+RPNdHAXmKGw3xT3Y1w9sqFAZ4RPnCbLq3ujg7dPC6qxpSBFj+K0MCVzl2E66BFSmrP88hfnzFY1N79HbkPrV+HDy6LGwbeNW2eGrA5CS4Xa3HWyZFcAr9M3AcViH82u91EznKveM/K1yg8uPdSxhBP3r84WUhyyaG59Drfm19ae7psBnVIjALBD7BugFsaOefuywUhcpVUXskObHNSg1K1W69KpfNTFv14uYj1O1H6W02ijfbjBGScYhVL84T7kNBFglwFaiZ6xH414YFJksF7uuO2n79hUTmCLGE/+l4NooxkwFGSQukPqjV7sXkZ07gtefAkHhLRKOUu7azhSXUWJu3wzrQqNpuJt3iWTtmp8zIMjl+1R/romBWi6BBCbIaC7iEOnFRrorgOn0NGI8LfSSAL60+jczVa/+whZwGawPPtMPAm97vJ+BRiRN/2LkTu/fOt2o4OI9V3aqiHOpHLced9fkhIcTCgIkAvC62m6WSeA95Yyc6HUDNne3+ZQ28j4rxhQ8d0a9DyfUFcl+YoObrmAsPau89gTxdOE0u+trhwzirYLwUYqPgeeZC6ovVhiu65mg1uKhHc7bQYx3E9lj+SlnTabxJioESuPcXtrmmwMtkvgmrHDilh2/AMxvIP/sapw8pVM6Q9WAOHrbmUkdgvjVhjdTIcuAwAdkC1vV+8KCMnROjnu3R0j1pE/fTztJdaPf+yhtG89tyzDfd3lExieJDYfiDyJvHbd2MRqvjGGQf7y6XxT0ZivvJaERakpSRvstwHJKovv5o74V0z9umr5zY19a3pt2Y1PG/D8uvjtm3dkhbAU9jjH6UUbwvHGWSHheVISrL1pC91z6XpChDwKoCA59BbdVuhlO3LrNAOCn6yZeN7YmqGX3WXjHb/XvbC3yMzFR6o/+7vrwNqvKNk0E8ST5fKxE4Gd8tVnOTbQX8PJ9/NBc8g1RgdeWgrhtzkBjWXzZ9V11g+wfPgMGfWsaHBLCokusz4IhnwpNZc+d1xsHYcxLS9st2pqzdmLLOeRAvhVqxcyvMHZ03uBIbmS4dyvDmmgTjRuPdUzs6gzhvoMZThnfOKSRG5iS1niuCj6wy+qZMwwQyr/v60U3SUdxYLTE7080W/FEG6zFxpxXliafZHw94Jwfe9nEE/JvyT8gn3b0aRgTx4NpepxOLcTl8zmUYLEVvezF+tCdchq3/RvJaX/C5yAAfv6s8lvBdRbro3SlAkO+avOSmheoUAM8VtrYpDwsV+ka7vlRhcy+49jOm7PnXkPT+s+7tGAnUcYluqYDajYpZ4V8tHc6gxumQQj7GYyHjmKAUSaGLUsQYOHTBcvylpR+pHz5NSQ11RbQFKtxGpk49A7j+m/QCMLXydFBcRTgW1Yf1MNNBmtOmNi8vv9vD6qaXaMTc6jFEwqkYfjuGYm89cyHvQvxSwTqtKkSslvNyBNaoF/Vgdo46bIwChgPXvhw8Dc/X9FZXv+zRmAh9PeENPwXr17zDSgXpfGrV9uBhN+sappHY6F5/WA4mtsBXhEoAXRUV4JGy75ySj7BWga14ieVaPPWAwwhd8vDdh7hMAVtazZUP7saKCbODeHh9V3Fw18Df9NspiJ+HpZghr1qd0X89MXZGpDeAp8xF5+lK97VLcYpKgUXBsPX7nROXKogdqJnqDPzpZybP8gbWCpvjpmLZvLSCn4XUijiqg3d/JV3gHaPkXnP1OOXBVUMe3CNg9F4zpa6BjAG5qhffwoEavujI8qaqH9+griE7D1tK5Cuze5S5QWUPeTwH/vU/bczDcasgU5gj1PoVkY048dsjbfnzCHWnDKz/Ar0Vz3Wv8g3i0vJgZLVs0Qn4RNmZlW53nt0X4qGPaO87J6HfUsDY8P4C4E4Yrve133suQ/JVuj8z+wtw2WtlPp/HbN0Tppf6eZtPPbkCXnT5EKzE1nrTJM/K7jl2fssxn1ODd5CjOsCewzHSO6j/xvKxosNYtGKse+eFe/dZS/al49xt/oQYeFQYz0zAlecE8BNfiQB4gId94As78px2tINSyPSo8861uZ1IU+p248PaAg6xeRM9+edFwYQ6CoOthsd/30Ur7lyT87SR+I9HOJ3h2cE6Q4B3TVdavzeh9qe89nU/HbgQu7SNJcTWWzHUHvDhS+XiqHamPR82HzTCfenSrOr9PYXrLAElHtz5FYfbComtFspn6DIfGZ2g/oSMo1uWF45wOpcEa8SXWHEEKM6Lj8CLhqLdXfm26enQJNWW+1lEYxo2u1qQPUEa8J1KgH98F93Ok1itfuuX9RnDMeDXOGbAY4QjGuvNBDW9YOHsl7j5K7e1lyH6xQPxBStrOpnmXPeJu3eM2rtrwOIrh/70QqrsxFSR5U3DQr/nHjCfRbz0AWTK6ZAuzUa7Y7r3dihxZ6s3H6jnO0o74OZO90+T39Xe8ePm8GCWwLW+qTBfHLAdcJHVCZ7BwdscqxbnIiI+YOxrIS5LNphrbX7PRo9i0QaiaCILMUU3F4eF+uUi/orQzkKRO5Vkx1DzAc9khBq1wI9ij7o7x5+uMPVTC6h/PXWPW7qBtfEzy077Rtk51LrFB/0/v2wCPEPwoCkztJmS0Ifaj4NkAMwVTk+olxeC1LbcasDLJJftZqpZdy28Rh0B16U5DoHPIRKNj8Nz3Snr4dOrM5H0Pzxv9zJ//b/8PfqzKvJkqQb8QaR1yxyDtBUBYOMnBK+wc1B7pFaZxLtiMdTOOv3ot+Am0dv4y2pWE08lgN/f4PkAhxrZ3n2/H6U4nKJ4yUJfvXpTVe+vMkCVgJFJOUA9dmkpA/VWLnSRYbyjJv4ueeDV8uL/7AFgs5ES6oC3+Sq3tW95JXA8ZOcdE+B2di6ch3YP1xxlMFpf8dc5rCy7iRJuZz1+ap9hruhUZAbAfd6pjYfaUX9rhE0p/qxOsPZqJ/V5/+5BrhDUnW7UaxbAifA+bc8jOXOuU7ufWnf/6a3k8Wse1iW53mSBbypTwHp93K3Obb01smYNcNr4eeqCB+TLHVkwMLPdUzzXKZG65TxFkC/G6p8HsiN582H9h6hrZ7YaLlrIrTgG7DO9YiOppTZWo6DsPu8QgxTWMtwbOUjAbZCT5iSwZzPFbOck4R1eaG46ElHM+/QKPMZL8PglWUxKJ0YKmwTea5wMwBODaaoCZbiJX/7L2GqwFqZpMtdBIpjLwoVYD6exav8gO0spo7HPWnvuniy6+7RznhfOVCtDlVao6VNBotKxWpUKicFEtp+KovifH6MBTJ7HL29TptjnlQjsAPAqk6UZbA8fgXee2XmVj7V7lNQoltr7WxLrywDPsMovd+IgxjzISy6KDx69nCTkKUe0tSe+Yb1kBDiKEM0kW/WKjYeOlFN7dt3qDH7tMni3wNVo2alLgT4fagAk5ZnJqhJDzN6g/gF3h/fAUr8K6BttARdEgX9YPn3rm6V62+snUg344/Ccrtn517cCsbbhRZ4CD8Uc4jxNWqiRPZqpoCl1xn3lBC7knSBhxq5T98ibC+D4kHI7B7qGtUncY2g6dV6vJPBlBbmeyvd7FokiC8cPnb08F27w94RABvDguTyOYbHSwGVpCPhV4t5q3ADm2QNeNELe5vSnH74A/G7gLsVK2hnx4B0VzhqnP5pByaK2uMvcqSWo2UMsHQFvvfbZ3iBWVcJxQr0/D5J/+sDvvlNkPQpIUkXjxc4LFsMmZCEKSqlUtYhj6pAh6YI7xGor0JieTIytn04VqiLp1fPg6mfqEgFcLTnl4qXNsioBPpS250mMRTbgseQ4Bh5LM7eJWW5W8FleFjRnZuJBZGvEOru/b33Q6azyP1bz+lHJemHuqIp+PReQp3731LMphpr3OssuYL1xFsRn+ePf15AMOAG3nuXuvIfsyCvRPQDo7YEOOZmD8kI09kx5Y3M+YAofnl0jJf62/dX1YG4sgPvfpk9m1TRc4TLpv3QP/FQC5vKajmzTmZg/D4CPd+6RK8cY1904S0w4W0ivIS8cIVeUi07Jll71IhR8B0kgrwlY75WrmWB2xrdZkkDPiSBbLkgOGDL8zb1cXCBGjwrFN4ZEvndmnA3FKu38ALD0lwhus3Df54wDvsTBI+vInPLp44jN+E8bSfkkJDE1zXfZNx+QC3anrfm2Ggx0G8xJtv6d8UnbjVcNNNfe2CpGNnXXyCMmU2JoS6SC/I0fcL3mx+fb/Fklsunlx2QorC3i1p7e7rwq6O5Jj9qyC3zq4FhifEl685W4ArFevfpFeSnnveLrgbu3pwIyLtxPqE/07ynHdk/hmS3K9tP2FffbE7D7+jn91cE8HPHIKRJW2z9Uoco4FgeVvTsQg3a++QzPOYccvAIO+VuXy9B+vj8CbodcTzPrC6l/NP0/4fl+LixKl/I8PRPARCdhn/Hqrvj0zcwYFvLiwfN19AB8N4hD4gQoYcXzP3yYl7ZXux9fM3QX65ecPqfsxNdW92pbReKpIuuF6fsVi9M6IvK41ZOUa+t/F6WtOmfDn5lZjc7WvCngpNQLriqgZ9ruUPYxzZLVwM3pBPXFeo3Frxx1cFCbBbFvu9Nh/QNeGfkR6gfv54MKyT7r/EvR6Rhql2f3QdI8XojLPeDKOXcQhTiGej+vgENlXAD2xn+Akd0AqysDa3Mrz79n2eUJk1jI1wzjw+Uu/gAcK04BxKbVyvI2AtY1cFvKadSU6fDnQVnMD8iMAmECMZ1RiJvaqFhvoRa2encUG5qEyFDZEArv5bcvRRQI6uW1cuPpFNkzz9H50V9zkdU9VYkXW337JQvmVjvNRbvJXTnNWUafwPkSRJidqye7xM7aSbt2L07ixDLpsVfwy4PK3z2HrfXAENh6JtXPis9DIcfk4BXOHolr9eOF3rnAC6yvap+25tv2jNRBk6auLhJv0xXSyNQdWWEg7rwmSjkKfrSxtrRI+Ary+fq13+vybJIM0L/ocKocwgoJeYnZ87z6Cs974v20+dE4cUWqetqdQn0EvPTNAv1RtgXwFIRTZ2KAX03NjZ86+O2HV9peBmH9K5tXjirrbm17G62P9gh14Jlk07dw6bPKx4QGsfXA2Ca5zgC7H0tv56v+YjWwH3qIaRVwVEZNf1iMe3CAD3vxdGTNBa7VPbXG0VGxAjz9io1e2lmHQV0raUzqBPPejYc9iicRmhI49MFqi1P0eSfhxeURvJOtmGloZz7873IYizokI9R7D77PS86A7cPC9s1d98/1pg5izAPyP25u9/zP616f15cEfmYeOcqBJFCD/2pJ3hIet1mORelOsF6b8ARrHmLpx08d8nouAlj3CHs8QG+QAy/6/5j6ti5Vdabrv8RBerSXCyEgSmxCDpA7II6mISCttCK//qv0fuz3u1gXe+2lcqjUnDOpmpW/u6m1PFJxW0HnbwCbP1772JWrPxSVskLmjBbdifGXG7SsGQYcQ3fc29+gdyTkVMzC8A5r5JLaelQRvN+gtWqxvTTGz3X4Pe/8zWkQ79d09eG98xMN8fTS5oCfwGe4S5xPy/h0Ncjf58/57SywpmbmnT2tDCnT75tUbIlAD9DM2XIcLrszQlla+N9yxAR3skt5+z/PmW3BovmD9gkiQr3yYVIFyS9vzZja4YhvKu2bSSzdKQRcAA5EQ9CksGRVuIdMod1yVR8k9qs6tJmpezsXWrAB3Q+OfYdnKki4WWANPs0ZcgWfh9j98+ACPdexyPvgVriCaqUHl60kNjWHoD16iPsQ1AewUEXbVsF7Z0USQjxfjqsUdYjHg8NsyP3GH+Nq/I5Uf7GxJhPg7ZHbSdgM3qvOAfQqpxWsg9/5O9HWroFnZwXGyni+sPTZdAmrzfUzQsjALycGsBm9u9Uwo0YsE+FoAkSu6t0WOKt8KsAE4zWYx/oi+/YOEf+qJRacKt94iOe793sFuQHwJwMOierA5Fpp5htGv/uLX7OTdnwHWqCj7mUBnfJGhndTQ/JtZiqqfDb+1BWs5YKz1OL/xYqZc/zaS8Ek+OdxiCk2bCPQNAngylUKz2NChhArmzNqHqaHilvvK++0xxlQmSFxGkvflY2ANegjHvA1H9ur6NsA7mdoIsSB297KUcpT9P7qrbDxQChg90qon/GveYJ3sWEx+WmEPEmIK1hvNl/9IkfJTZpaZJsk8FvG+5KfTM/ogI6NmRM3kidg3BfEMOT47f0UWsbDc65X/Tob/VIDfwKfHQn3v2Ruzk28vo5/fUJ+zoEktYWtbIVX4YA2ETriqF8p6HvQgss5n039QFVzOZu8phjf19y/wZobGuFJwKOfnKqXTjn97ncO+Avw2Rfsc1OP063m6gb5kZTwWYj/k6n1KYVHsp5EaaznPJxaiE0rj334m/ZNinebAkZA3M+NDbEUzpqD7spW+cX09KoHWBtGqhLWcO76X8AhPdAxEA2PpXHe1xPkhRxhmQdkhRjWxHgAQ26G/Lyew+2BRBvHnHHDtawHl9+baD6auVrAWZ5nplLeAS4CP3rti6amr7rf2urr3Wa/XlVJSkF/ZQ6ycz5ZgAEbJhoP7uOtyefc9IKV/82LAl5SrmdhZk7KuA4f7ompth4U53H/5DavmOPdqv+bkUEFaJajM0Gst7+eg5A37dQi82HVp0Z/QnxJQWz/hnfbN+A9Pl19LXtVpGMDa/j9ejY5diSb//UJLLLfAmsksmRTTth2r2Lyyoc5Bw5Qa9/sC2+A/VypLkFn6scJ+evBlsdUQB4M2g9e9E8Ra+CF/x5nUMzw7iu6wj1QjQjCB85Vmq46NbN4q+C/OblC86PS8q/+kEfLGy72G0zlkA7eAHgLWIWkGuyYmfOK/GZ8pSwM2rQa20RapGy68F53oO/MHPBBWnRohzxK+hy0zCnCeRp54sRxT4s2zseXV9XsHW0/YwFw51BNXJieSevOAli7/W0x3iJ83G9ObO6OK2/L5/udCXtSpr9kwFKJ1gK++3UWe5use9AbStTP7fPg6v0p4FHNVFVR4v3x3l7u88JHlakz6JK+HkJLxmwRcXJKn6bG04/z2HBNu6p763nm+DszHLrQJTZnegx7vz7SgZlj8LlysT3mHW7Jij+YWC6Nk7y4zZQ5/A24ScTG0ONaF3WcTCV7X8zUOxqkV2pPXY1AHwsVgD71G9Z+G88jySZXOep/Ne2Pez487HzVS+NKeQ4JOff2GxV4n43tq+6rBx4e8rC5s1UzPCQeDvpH1htepb/P4+UB2h7WF7vLlZh5e/vjiu+sA+4KKFM95xKuPYWcHBLAZ6Kx/9rnNmcJTGun7revOoei0Qpztr2CvjQzuCkX8xXyBlNUx3Xwuf7WW3SkowF5a5i0q1HbmWiDtE8+jq7My+Fzc7BJ+jurcf2tE7Np0NuZc1vSGHAJtS/euzDH9EHp73wlHmUJk8gnwI0+IGZX43dSR9vJ+A3Aev/hJhfECB1WuRPRXDEbfYuRoxPbW00/e0ozJ7V5DHijgaOPEAOMUf91X//VjIVTd3Daig/L79xNrNsWOzLjblKmIbybMfnG+tPsRwWUT7RyEcfWBnT/b/8exUN2V6O//+0zjRMtOpXWdrgQwS8pT164nEAuTY9OuQDfB7I2DYA/8PRxRWKIFaF/OPDlSsD7ZOnKI+DkFN47/BQeFrui2Jar3CvzTITxIrIPf/6/Gn007OYCJr7y/L6GNQPcIq6i7WDmb7LIeP2Qb8HUATubDXCQfb7bBhSZWizsnUcylcM81kMSV2v7XYfemo5tmUaTr6yHfQokg5XPBMUneI60cawXLhs/CdCFkkLuXIgLsBJdricK9xGUpkfmW6Hew6HniUKDukrv+Yrhmqc7YJF74o1zdNvpHKG+QaTMQYub+vl0NPVYlpvHbSCjV70NxIrjfVea9LAWHePtS7u9dQ4S4yvycx4gV9vaMe+E5ltHAd8gz21yQiihLjKzUOc0wBr0kI8ZQSWfHOCrC1z7WwrXSyMcAJ6+5rY75/Hfil3yVsUTk0Np0w49FXAnZivb9OwCz5IVN/5odgh881D3KKh071RdMlKx/fUSyyG+M7ZdmqG9VHZvw73JBjRVAzkLcvfj730V7VtZEMAjlRxdvEkRT9L+9iBcmXruMM/njzRIllT8TxMJG/AKu1TIZ6Pb0PRxVCPq2YAvtLcZpz7o0uUIeuhJNSYywH8x37gQ86i/E8cOVTztVGg9cjshuWV6YbZpTdkGW+3zFOAHZstHNRKfAQeuO7+oCmWXw3Iw9dgkujm1o2bc6/t/Z74XMyNhxB3/O6PPBq8wHrGQMWyz3w06YWVjuiltnZ6QTKrIewh4wylqEcSrWfdHwJAV9LrL+sSlEDFZD9rD0UtpKfeMyK3hmAMvO0KOuZ53r73KeabcD1mhZB7u13r8Z/Mhs+QI98nR0expZqClFXu48jlT4Eg/ZpZJE0hPFck3PN+sMVy8U8Yv3PjpCPhcz+AC6uFm9iGOxqv8hV8k1Ga/ysKRB5qv2ZAQ58zSph+M4wB0IlIJLvg3ZtObjMlR2gkqBxKcmARsQzcRNZvziL9zho81Yk7D4Zq/tgkZfT83Hgvh31puZae+Qf/85GPmgu67lbQlFWg+uNYLY/NOBMqrVrZhDLtNaIE48TEOdMZQ8sMcMhKmrRzwpVyJY/pn0kg9IF8/S6bh87eNoOhPw+bMc0BXOmVndMn2O32+bwRoQzww72iRZ9rpjRjmiXG8qfLtejIzU+O2V/bFVb33nXafC7dTF7hMUup/GxWjQQ7b7gi8B3KqFNGn9fe+jBff1zYzZwGwokzfgEOpDAHnnzlob+ANkEzIBDrchWu4CqqfwN3ss24BX3oPtAToR+3AgnQln2Bd4Enstj942Nyp8IaDi79efD4Pe/u3hsJtAY3erySQ0ylsP2Qx6dRVXqOTMHc54aFN+SofNeA1c5OnKrSpdxOAe9HBQSnEZMLgPvlYuvkAqRyxKxv1h0B/fW19JYBvdvhwDvCRov2du62W8WRmU7QUNA1wHFuIJBX9cuQarpltw4yamsm9OW/+OaxkVqH3AzkxrB37Ybz7iJ3cS65/Tvn25xTvX2e+fmldFsnwW96/P4CDO02IAvWcQ14g0HjGx+Bi9pCfdexTPvCPM7OAQ03mTDwBTTHXgJPAPS7GF/dMUdHY7VMhOYoivWf5doQ4fOHX//qTIWbCi1daLSSR5I3augd+L3PHbmHtZSQgWBY+cESNWUdwo0mBOz+GvNtyXT5zaxK//kH99GgE+oF1VlQsCWoL3TPnNdNkhme0DRWsz5OQTllMP4A5xypKLmbOUG7xrkIQi862ZyF/ZJZus1+OiexmRG8V27onZPKG/imtZNfYckydNiFo8mtgHKXgO2WHr2f4A3xz93tepnFQh9PjxGyf96ZGa16q9d+jdiH/I8j6rHmmnBD13LZ12G/oc7bTkOyUgyvjKXCi+IpZeWV2wiHn+zRCwIn2HnCXv7Ns5fKo7ElFo3cPcmGbjjwFPsh5h2wcS4wpXim7OCnkb8AoCu+mTTvIAIFvOJ2bh/a1Wv3bf/UuUwmfu5VMTbnYr5DPIL7/apa8yszypeECGAy6tNzg3jb6PDgVbAO8uhMF6dJYeqdi75meQQzfAbnQO/eIy68Z5/3nhjjJsdKXjYS0wkNrQ8UNcDU0nPuNjfjFAUo14rx2kzTnaMGmp1/Mbl60czmiY5q/W/VgF6a3ubFkqWjrwHr4xmKOc2Fqu9tb3vnfdAXdlm8/gMf4aWh/mxmq1NVrbc3LefjTKYmZz0HtdEOd5JuaU7tw/yDUnAOTXcqSuzlHg7/v/7dH68Ezvzbhxso1jkvWfuSoXUgPcei0MoV7wfDusi5cj04SlVS30tKvc/NQCPx2CoDTDRv74GxgLS7u/zzUMEbKuEKZvQv3HHoGbXLuTiPodzMry+Nx0nOz/9AhX4WgCQfiZ5rcsMZFjfSejQg07F9fG8PG9283f9HBepzF5lnpPfCfi133+mj8MkpXfqdsvvGAZ7Tjv/U02Qi5Rrc7XAAPQQQ4BSr+Zmp8zTrr8RHyz5WDjktBI/31SXFJK66AZ/X3c9dmNFpwVhDnFOPsnG8rKYDviokDdnti9K1TgTEJkfEvCImVRILK7sQ8izH5wZ05YMYvS0+tiJanOes+U/4645Bp/w5azjvQWKZE4GtOU7juy7OyktPBbn9oYXr8vUINcjX4wCxpZph+lC5bM2tySdGaWTiLye+UM7uE/Gs85olF7pK1O0bJy8MklI7eKzP3EnJ2qaXh1HvAR+OXTsuCD6n1WDGo1XJQJzoosxeyP39tsanFbCKtc+DJkE9j5Wx/lI2PoHFdeGc8Zd7Av7b7c0D0H+/tuCvgrbDOB92OTN/is+k316MLGqxoHd71DuD9ido4ZZ3ygZM5oOO+Ofcjar4T1kod8RNwV4hW0/PhfwHeWmn/cNPVN36iL1w2+5EbzLA+7bYWBRzNUbbW3Jy36Q5+32K7rZ8N0wQ4CFxSvoHud2inb7U9PTOr/Ul1e1EivJ4H/IFDU6+LijoA9BF8oMJuTzF7reWJofBZM37jjt01xtfLBp0cTZBRw/tJzF8nhtK89wrufm5AL13MfZNocVTYZqVGgttwP7p/nE1/e7Tsc7EYvACMM/ub2Aat94rDqAnbgkV7M0+ry7S2CU8S4I8B7aRko/G60KUIW34SW68y8/ZG8siEfYS/P55QaR+t5Xam/mj4NGAF4EVqCQHJqmjuPN/OJ0H+ZjylffY8MXJVvP1qmA3xbW1gLX+V/RJgh1lNtLATAn5E/aIcTO/19gAxQ8XgsbSXwAUgN6N0Occ4Bdy0G2FaIPUTcPOQD+qhQvv/m4Ogv4kFa85JrLNQRUX5hdh7yKeeZBZ6AvZngAu2iOzKzCoFTe2cAjPro3Hz59YC3fndFK3x3VvyXy0BObjYu3Isn+XKfzjkof9xG1dG7wvo9g2D76p4b9FxivLf2a+oyLv9HRfoG1N/Jqt/ESPk3t0MupXkdPzl2UHmGIcCU4d6WXKbP4wncabl2vQ39/z1Dlz6b7bOs3Fh/T3nTgjvK7XYUoefq6DAK83cuxV3TdAOR2vr5zE5qZi8NcEn5BdzjvxwsyF8mL5A4OIPZfLGiq/nUFPCLwvlZq8YQcz1r/6U58E2M6wN55pBs3qJ4Nj4rsq6b03t7pz1+8f5P9/UgnC9M35QGZU5Mz7/PKHUJqD+mUcCLiE2d6CrjRcofP5yr9niABa+cBmu859bAW8vuTqI3nD05HY0M4Js6asYcK0APh/ziEUl8Cf+VY8+rzXxBWjeVNi/Wv4/bS9vEvCFm7kEId9Q2p5SVw5NJP84NnVStwp5UqEWNIjuy665p7TfgH6LT7E6KYs8WKx9yCkfcO3XylqE4KpQ49SDdksBV+bMmjXkyyQtyvsJNHwVKm3Oj0Wv7qdQvnjUoMZmTa1PV2nSnQd7gNi5Ehe/1WF7LAuNc41gXZFNBvGfuRxhKxlMP1Fq6gULKc6jvwLWYODTZcOSZ7qqN9m1O9AICP5IPKCXTnmoaDIzpbiI96AL5Bfwjh8R6m8ZGA96O8bxtAc8z1X0eLCePRjiqNEXG3C75WYOdL98ZZa3Vz0pIc4fxNo72Jnefj3xIA8bH4H//datpsQl7N1lVP2ka7kcndZqnCXKRg2cRn1UkONBs9q17s1ci29BfeOD7DGbfIn44jAnaY8WDuTq95TpB+daGv+uWpTrwZFv8PuvONyIaNtX4bI0nD+Y4wnTrwpr2TJ7UcYTKDc1ZM5izk4q6XCL7OY1D3GJV0gIpl4okHdlPOILeO+UeCzgu4wz4+O/55T/7nf9H8eejs1uJsTmHyd2uwMDjH5rKKgfNxTFWdcO+TjdcGTDelUBHaXZZ7nXCAWlsJGM+JKbs70QpARNNo07YaCAjyZkTsUWVNnln6duE3kUB70rw3eD1x2OeFQhJKjjvWFrc8Vu+sSAuXncurz3UFqojnS/evmHxvulMj0vdrI7j/9AH08h8KQNX1HbdLxiwrsdXPJaX24l0LXREB0am5moq+l5y4PfGZGh8dmHZ8cr8W7Xnf8B9583BReGq+J+GSuR+CXFS855Dzz7d26MCI2mA/WVbwOIF8wC9eJsDwaYBDymqIZ2afKtm/fLAbNwY7ymyq/bin/ry1WZR/irij8t5aBCaBXBuv8+rr3D83mTWsCxHIBTV73x/H1VnfqRgW6rVZ0a/TcH4Yadh3VC2HgQ31WQrumalICpoo6SNLXkDPGyk0FjZlH2Mof3GWof1g1OnXJDbX9Qw6d34r6kNvCOAGHIbd8kVvdM+ycep8Yn7TVHFbikWtM+YaWFjA9QmrMtw8U0nQROasSPoN2K1NTwgn5nsOazde9xVLplx3UO2jHv2oSCxBWg+7Gt9njwFhOveYdGLMgXYPNr3+aLRqY1B1LQSD5AXy/G06vuyQODziOgpUSRRLmw7qdAHUsnXVk0X8pVS+D1wPkT4Ayg/8YEp4M9Yx66sNaqRiuAJ4lEwBNV/GHKCJlrruMkNv4ZzUBSFaXA6/bX2vQq8OTEQfOlVOPUnD/HrcdttK/ZZJeQ24BP9rW+PEvjdWi3h8qah9KcAUeE/NY8WcmNWS8/ovmNFgrDv2vLkXxx0LvAoT3uoh0F/Wl8D7Li3+YsfvdJIWSIe3DNvG7p15bZwU83NZOE9+iSi9YHHmNVNPHM7E74zaeZK8f5n1+lqBgv6GDDs0XPbCC/deVmFrcUEtbT1DW8tNVIvlUP+VS0OXe2VmPW/4ifzOKRtJtHOcwbFvR3Hr67tJg+SJz8VM7sSI2foAlfNUub2m5jAvqQcRxSB135E3Jjkdigu79SuF/g3qC1yAC63mMoM1qVEWuhmUiWbPVB8yct7to34NK6GZXLLHvKBrRkHF2J/rwy+tq3udnM6mF9wHeEvXfu+iszsyecB4gehDNnup9RkuRcXeA65nPMv4BHADfStBboi62+RSx8yK3poxnlTO3Jr8LpwmzOKluZ2pTEzF393zPsJAPNxNsn/prfSJ+aXnkO+iMEzRjkTFbZ8FuTeS/taQ88YMamzlJsb5XNPeAPxzOaAmx533B9z1QbP2G5h/XvwxsQZ7Y1nnx/c1RVSFpTT4D7aVd2cqk6HUHsBySc+xp+V0VecC7Cp/HwacL5A7BmrleJSfBXV8SBe7UVmhJmp7YIEOTAdoTQ1fnQbko3eeV53MBzMWfwoCsgp4WPnGEbdyHwAEIgy16q0Hj5Amca/ROL/SF15PXMpv3RnTrQPbtTBJjpLAuOsusp4t+KbYmZi5DrKaQRdkT4qmebLQJ4YaY0Vw5ZyNccZRoTipQN72jXOB5rAjLB87qotb/+5oFg7zCdWWed2YxNTA2h8XvYYTu7Ay8BrNAX42qnRjmUDv86rurlP9/j6LKBHKfLDnHQ4P5JgL7U7RtcV2FqrOmKolqnTxV93puBP87RzZKj/wW48Q1ae5P2/+1rnAO/yCM7b2j7rQIC/EkXgD+g8zF5nS+fYzTTOLSq/tMhQnWnaAO6Rd6BV5fc0R7tk7YOm2c1XEyv8praqGfRzcvRZHglYGJ7OjiTEBTNhm8okejazjZnHjr0OVMO3PGFy6DtH7xI/DqyWxriAHjRKTND4nrQ2xpbuG82VPRrvZbXxpmi2i1t47WbWeouI3QqXX+oLB6ckEpLNj3I+M8CbSLUMHPIw7MY0aufyFJ0v6bPua2R/5Ajrsw8XuOLlttTXrqkpELuABv3psbsV5tyH1ddtlR9eaccfeTRvM96Yrw5TgQ1K6fhyuPmTrR+GG8VHtmv8+W2tn1x7i0Xs2nhYbbS2A8FKh8SGc27+d03BbxzQWsuzfq51NrfVVq97h2SLPHr53zCvY4ygb9KR3mm5yQbTe+rNjNR+tfZTQ2/zcIZsd4bzoEKZcx3dbQlwIkm5bYAExw4+qdn/LxTQcqS7c39AB6oJAPNdP6aW0HxPhXKPdiAZ8C9as43Z0o6yAWXavjrNz9QZrlHG7ByaL+ygsN9POxceMCjcAD5gkJu704x5C6BbDNrIV+V3wSgm5naAP4+mDVfIee7itksDZAr2TLlsMbhz0mAvj7Y8hUbD+qCbg/54RzLI/D3JeutBdYYyq0lOMVSpmIuSt0sCrgOcDLQKbMPCqMDje1ntN29fPSrQt05Wy4E8Bl4ZWdmQFUa9Bz/8zMv4Z6e6ZBdD6D7gYtNp0DG5w5LHnnGZ+UJuItIFD5OrA1NfwPp58cZNApeexvykpWZmWQOYmqVHwr0dMlseIrYY7v3O9P+xAX6ftV9sVBl8stgb3o/i3BjZn6Brl8VD+3Syp45RVQNOssojho2mf7fCLQyzof5kQpPU6v9Aq0A6wU0UqRmXiiPmdnMqwbcbWc2/M1RHflgm/kCdgr8PQ8kBl7ylfemjrcdUrR3zx1ZWadiMQKHXjFP+72Vch7UIflhwDtlVFoY9YBD6gH8lUEeqMhINGh9zWL+BlrmVbM01da2A75pV9bGFX0CuqhNyxW0NsJrjYARFP+ep5D7qaUDEikPtAGrLP0G+eJDOfJOY+bWVJcgGXrQZY9z33gE+T9nVkLOISzn0ysfAk6QOQVOYDwkSpqcaj79iK/tDx32KyAwBh7ycRby1rjk7cQTfmYY5xZvz6K5m7VTGf0yJhfQXRvgIWUm9h5wnrz+XXvJN1zP69x8UzmhqfRc8gLwOrQN1zG+eTY8hwXyXKpM7Za1favcNqlsQjNnqfjKHLhn0TjzXq6Zc2KvdW1mXCnTA7HPhJk7ber4+Z/fFxbYh/e7r1iSpBG5YNA+vGsZ4Ov30ZLC4AZwPxdyYZgXE05DG74D0WrMbBkavxof9OR0JSF6YKZPmdjYNcKlFCXkSzIZL+jXfWHjiwnPm7mfxuP/rkaUmNna0mpPOWWQ86fN754s5bYcNo40febMm5r4nwffCWGCMUb+LXXVqbTbHbPRRJxpTxDkkFFflf58aYfe7DVk/WLma3yYeV6sQJDXvDsOUU+D1lN6yjOLBESTknTK7Bfc8gGnVWhHJmdB3izTQp/qkGPBPG18pfLu35PB51MnWwXorRdnA126k+vnCpyhSKMpObP3B3CY4QzcQxVyNf1b5wh4ApvuoAGfwL+9FLQO5AgJOPrNApSkHfJzy/vJBe8ZRVbdA64ypY1/Mmjwv98iYVI2wNWqkbSmvoG4nDYsdZugsXJHOjnSMeQ5egr0ULLWYagt+Mpz4GlfxuuBddpr9L9H7TSWYvi7LC4eg989h1OvBuMHpl+1jtdsNTp5Fg0ikvWTVQFjhGcZZCP+oS5+lpSbPfR7Ktpd1vnAfwiBnLaAtlvSMHNSx2YqQm85Sgz37qqu9CqkLcATyI/ejDV/aQdi7BBhjSGhk55ShBRFm2pMutLSiFl7T+pyaYbFOzg6yq3ZboZ3Jx0T479f1AX5IiO+wFqzGmdvqqW+xJBZkPt90rGrYmjMGXrV9oSEbUPQKSQ39aXAr6pxSrIR9JvZbxi2AYG1KTg/VrHyqmjJUvawa3POE81v2ZqZ/j2vKS7PNM5cM0sdrvPYaGmDZjRekL9zgF85iljeF+69Bf5NrzSXzPZ/hNhKZrUhpu0MOe5RAt4St/2pYl9ito3rqLHgvimJjNcu3H/YxhjxRRbtIoQN9w7a1nnYEnJQPk6vcwdNKYjJIqkgD+5BdQDPQDbk8DldzUz1zw3ExNtpN1dUA89m7YcA/UBirqlDwswFkablAs9AQs7YqzW5ZWzKDjY/iXCumIvemoK8euieZEjaoxO6AiFb2RCPTm+X67+nCPlPOe6BoyS3dJB2/rV94+GUH1ZuNWES1sBNG2uZVIFGBbqzAeZU2sl35fAbDYCvFDzIDV4Hfz5LNy5AVwQqFzFbgbNmjCutdlushNzUNLTPXfL73xA7A6e6VV9zcbR00Yy9x7qEyWHaMyY5xM4tcxq3HKUD67TINA8bd7/k9uu+ZuASzcP0hjV9Qhht07wjQVq0HyloG96TE46YJQdQkCNfQLPDem6TvMhc2qkj8KEPVezvZs/UeHtUaG9RJ7nnlvGkDG1lnFDR5S/mQbfYKQQE7bfGY8jntJ1yF3JdROKKaW182CEn79moSoZ840dzI3a/4FinB6fllO2f3MzMgXiBe31IR5n6+ZPhHaTf/pC4ffmKHGnfBqCHzFx2J9dywDEC7oL6qn9fMqdcqKMSRfVG8BabEwTDY2uhJqLRhVlLzkbQZbaUZUFAs5aQ/5JWFZgynlTmTC2FdfPqGZHD/imj9piPbaZCPGX57YoHoGe0xWlk5nFB3FleyDp/yHdwPdG0wXFpZjoa3vQlv943Z1O3nc+ZXEmgXJyeuM8Ae0LQ+puSotdeigV4eMf9dlfZkyd5e4C17DWI60bzSrlSg6bvYMU+ZLi/1mPmwr+h8P+d//yvs405NyqZcvjqh+ZVAJP30nDOqlH+AL/YnMPPzUtXpl/vplbOzHcD3HkA8po5uduqdpB7AEYGa/haa94xC/BxWAJltXNa4HvjJMC70wez8ekMGrih/rcYyZVp3DZj8pEWwCHH0KmK/5vNnVN+pWK+ninm1W5reo5vVTRNjVYdrMcbcKf8AGw2j1UGvNKD3ynOFBlVcK0GfWUOannBVl58bpqeXxsXJ7nAl7rAm9/3qaefP1yOWoSFPVPrshCn1XU4QR6bKOTHA9Gt2Q/5xa6K67EEjaKAT2XFP4syzwc+BQopgXjdmGd7qZ0khu/SNcTPSextbKsR+MbLJ7DEtkzYcAHcSJ284KBh/Sd1NutJfLqVmaG2EhPDH789LkXv1IP6kR3wPo5DPGg/A51S2tkjDa1HOUjIY14HWqClxhdfPOxG/O1jt9SdHkxzkFxIp5b9iwHEYHlEIlhXwEfaQXRJXjntRw2fl536aTpSYpa5R2vzAEx9ZhTZ5xhDpje5OrmnEfogRfPMI3kE9HrxjVvuEH20EEpdfwR9CNcJ70V/WmrFzsElOoMorE3PRScLBTqaiy3iFqytHpOMLQ+GcHhGkLOBS6ZRuZx1smPW1NeOvRLEdznXr9jAwEV2jYDV3iVu5dhHjBKq2MXNVs3OUbqcwu2z6lvAh39XTPm+CTjNrW1RhcDnORdisAvT8wcU0QN+7efc1IxZ9zPkPA6xBTH/t6fHV3XjsV6P1nLE4WXFMWh8nTk4VpfS/udmWvumfxNbj7uK5XQukv05QnNjpQ8ePe4HN/mB+HNpQIgcp5NgnJj6AmY+byGRa/3K86QxezOWzA4OSOEB3ymgXDMkiQKWdnAQIoADfJUS+OZQFoDdMerFgOCO0IGP5PfckD63MXDB79ril4ryPHPsNxbAM2EZcHf+0ilfLJZ7HpPsFKFOjpc7aHzP1EIKxEB/m9kdJOD5HJhadaE1h/fyzF3/LXfJh+yYi4f5CHl0o8a9W4H24C7Zq1EfGs5TAWgqilcvzM2TzvamrMcV8gaB9zkY/0oa66WJlkuK2DUbbMoK+X0ekalNZbJP7YoiFzi1jftPlzM8N3071fHlKoJyzUYNOUSupbUtc8ZTGf31cQxU62sJ7zETqgC84pDL8jROjJft4+hMHxk1veH7lYh5rZzGq4KWnEKdV1Q+cmex2WDbAjQ2YbB2ok9bDGRoAHelg0ocQL4K21dvYCRRuoqwfwAH7Zqvdy8f5fBbq1jAKgZOnDqba4OazTmyrBSlxmM+SHVpZnTadaHv5xDduTAzAZM2jYmEOJHYYauKyaBA4Wc2fmHKHdbDiqm0saVw2eMY4jsErMqVWH7UE7Qt6G4WkKqKZXxwAGs7fUjzLQcMBf7SYmrhL+bIIKeQM6PWhecWHq3tJUf/nvlgmxz+8o5YedhqybaYfm2dpijvWGzDbGzM7Phn088/PM5W0EwiX9kCWnuHBdlnqyqBC7QyTI58mHoZTWE1YI4H/mFO7g4W+Ta1JNSyv7P1b+/rceJTBLj4IIGEXMrH2vZ7OhoPkumHMr3I/vN6AN4OWg9yT2KeVayCxuzFkVKg8Nw/NsTmxtdxL/sp5YJvgNtGYrx4Zt014fI6a6uyUVpVgO44Tg5S6xL05FhC/gDNbPw1jP+koM60njszb9yXKdJTCtqOjcD1+4k2Nmi3YnrLgcNCLgGMuVmi1yuFZ0esjVfrFy7fXMb9U95zrDj5ITZZSmc+/PpMrG16DripZ27NjJzaVUmlFSodfj0P6q3qeSxGv0gZN9wqB4UG8TXxjNkBxPTxYM2sKvgmtfWfP3YFfATw/E0wW5am/sPR9nkgu+NqZuW2JTyXqAltt+77e7Y2T2UrDXmigxzssZD8+hADRsV5+HknkfcjgwSxQvdsWHbAW6dz/NeXnch8RiXj3+nqg8Qm7tH0IlJ1O0MGAK12UavKJfJBcy+wBqaMWWRkNv8AcvpTRSSTQn7UWp2AryQ8YFcR2TQdTO2x9gklY/b1/sq9e3g/m4PN7NTqr78eaQK0Ap9abgErKshVCC1VxLnZUwPdYHpQg1Mh37LC+Kj7P43g9wqxR9MjATp6bEyuCLc/KfCRc++FqaNfPOqjiYA3uyTPGL6LEJGDpS8n5G+yQn6ojvt8lBkwsQd20ASr3NTeiqN7ceC6zFyBuwrDTRqWj4aHFvD0K2ABbaK94fob7CoLeM//aVjgsyeafJRcbgjjggpi/E090KMEeKVVF4mvxulxcMu1pio+WsTHUemew3nOQS3k0WWVZv4W5EzQdg5o0pY529nwZxbD2oN4fvVJsUDvQPeuTGBHisQ5rj3wfVyCrqXS4t/Atatmd1vy+PNBC34yHs/SASwOZ9Ay9jENdcgDEgFX1adwAVWpAhp/uqLnnKxkhGt47R/esJBjAxwPeEV6NlVkNuCKLXNJP92TIElmtPOAxCnGIFPkh5mJRc0sjhWtotOdEA/AYAJ/B+veau6yQw5/bkW6krLJZ5+y+VVv80Hyrcwjb5IFSivI5mQ3/wDOE1BGNxJBhCOJy2ERoEu/SvguWA97ppO3KiRvImqHk0Cg0XkoTL2HJUUV8kvJklKE+JoO0wF02atGWpNY5VnBj7WpbY6ni+LtTWhs3rv/n++4zmmfZI2edO0iWRcyrVB7bGIVAb+6mJoeon/n8wF38/cVxxVzFl4j7P5P97z2e/3KnUohvE0aLQfTk3ViC01jM/fu3fgd2OcIdM1I7phdnozNk2LbnjhmBoPxU2F2E0up4vTJ+v5R2tOHmYHAIF8qzvPjqsxZ0Ou+CFz7XuTzndnMq2L8VRYtpWFSNVEyg14xuiIs3eRG2XZ3FrYD3FBzRLJ00KjMt18E1gjjpofGrg6OzJXT7iDHb1i0zHzVSNnZq6bdP3cklTYKpWVTwtV0XP/dswG09nNrn1j7XcWAAaZ2tctMP8Sq2BJUoK0NxlOrMf1abgW4cFj1s7T1pbFadu60OMeQRULbkRALf/0pnf8jAnOGlLQ08PfnUe4bx8yG/88TF3TAIEfQZYM3lxznaYACKhqvBL1RUULy3W1l+ZblAfaEwKHqt3vQ32/5YGpTTf/b9FePrcb0frBwVI/8firMDB7kAv4A7qY2fB9vQvSUYvYgZ+Uq4N9y/GflYbk2w9auQzQD78ghbplEOm6AazUjoOPKDzkD/NT9ctrNrzx/g1zQpgFGaY/Hki3AMtQX5FPNNHGyfnZFlOyAk5naM8QcL+EWp3RsHmVhZkn887JxCihSvZn5mIqly0NMZJ/ZoK13ePCex7Ulr30beMaauvzOnGQnqH8DTqhpIN+YgF9kwONpqyF2Q2VtDQ9cVbgtQHN+Ucf7Tq2HA3ranKl/cORHFJ5F3Scp6XTW9Nj0XE75ML/OAoDJGb9v2Zl5RspSztFNhOkJ+K2RNud6u+0FszZjQXsqR4JqmjxAjzvwXWMeJ5pz+aSg/7IBmAZoZDPrwtTKANfp4XpaWbxmgM45A6zBIUoY42Y2U1KF3uEM78TkcjOrCngsqFFk5mhczsP8cYrIxynOHDNnu+6Uma8GMQRLNgadCHqa2+XvPhR8RnA2zxx9vjj2XI24MvMiSeybfejyzJPjwVaHhu7v3CJXqoHLObcVa9UrYe8qBlmdeaZ3YoQ1fai1DiouRfN1e0IuAe43fSiz5xS0PKPMgnX2qgk8ZoI/yl7nwD1TFiYW77HOfue7ZWbP8WZqBeHZ3SG32SxqnrWeLKn9/mTOfIEjlEP6TEHdQH7qIdY3eJQ7M6caOLkr4Xphvf/VcBonYTGCCoB4PhkPnH4bHFYFWrW3TmxCcvfupa40c528zMxMD0AnWFif8u21NjWhzy28YylOgf+Ti9I7rsAfbdQCFsaVCL3GIq/YyCqmQeXrqRaoN96rWE8PiH1LFqGLv+Yhddufhuk949x411/hTcHn9FF2GvSX/XaOcJszGWXO1skGSdJILSxSiYRcdXThfVrT67cm0SEPnn0pR7TIwPSCJBnX/MEsvD9F24vMt0gwMjdU/zSWHGFdLc1gaiLJE0NcSUujJtbHxuAnK42HyZT1HrBa+V1Fnwu20EsvU9WjxUy6z2jqwL1cBUe2jFtXFf4Rrvu3ro7Ee6tcMW661OZuu6+EHGCN7vBoajmsBx2n4TwCRUX/HsC323NMTP/2VPe2hhzwOjcHTADAGbaecuVXam0syKl74OVvjfE9YvqaClA2LvBYIYG3gdY2tdosSbl9uQKGxJCbr0KrgnTNeh68jxNPlzxIojQGvOD7ZzXYrz3z58Fux2o3X9Vu6xDQEb9zNzucGV/hapX66PIK+JzFVv9JGXuaGjzgPF1jJ8CFFspH9M1tEDbhNEmbB9JVmISe2fdCjCZmtvjLR/pbhos2M03znhxz471sq28WN16KgMcVLfCjpAKeUXFb3qsecFFn64nqjK/IAeq4x6v0y3H6zjozH9z4g6v1VIBGiUGD7N7vtf1/55W10F/mzKuKHi68gwPr+s0pRJGZv5NGOBMx4kokV/yfTzTkVLJToBXOne/IXkeE+xj4AT+uuiw5H5vV9Ioscx0tBQsBy/r+xXs/qOg9iLVOsDbElpniR3bGk4FofJHRfCOOvjKrvNaQA00tFnO1OWN/a9bGaBuBO94puxXS5FOb/LDe7o8O8eBr3zBqEWPZH8eW4XyCeDmBXh3PJhcCQtfO9AOYsk9HPXOn2SgHuAEDVBr0VQwe6GT+BfnjXvef1omHqwywmVEv01hjMYRrDhQ57Zeu6ZLH+Wv7OtfTyg2fmdu4Rp9DpotOnOxJMRGIiyvonlKMSUAQZ5XGX4KaGc3Yy4Dfnk1ds2Uj5aKoYpiX/fZQRaa+PPnOjJ8K0nsaynuN9n9zinP+aTGhDlX43xkg71rBzDzvsHyW7pSAxmJyIEwE6I3m2+y0e7dw2BZYkzc5aOMfjIExnyA3nUC/RKZvIbO8jJt6kCEpzvFfbY93iiU+QyY6Cy8HPevkjnwoa/7gY0tyhC7Emt+aMDkp7SPgHNVZGH9vsqmMZyGz72nw6bHBnAe0OxX4oFLtoB6mS+lsQQu3S/41F6/aA8jlM/BNjSNiA9cw/pJllm+9M5vjKrxcqUMCXugLWcOH6Ss2M29T5hHO04cKl5B2e5vH0mb99kNRjsmKHgeH3FLAlsyaCLX4Xy0Wi9tRjThN2TySfLa49uPUzHmgvQu/c097eaAFOvCw9Hj/64+9SQOIc/Hp0mjZnQpYi9R4tiQVG/dXHJbOOVZt06tnRTHPO/mae7scDe8NIU5twFQ93YC3/xycjZWZ67f2dxbg3cGVzjm0UR5L0DSoIGYmaJ955cjDg3W5ilCFmKO+HqV91v435GkHcKtvRgaY+edTwU3d6glyHOBWlsE7qp29q3Rpg9YfScyclC1uaYcWed6uMugfFWDWOb7cqaVbssondtP7cU3dKmruDdc7g8npCizG1G+E2MXu397yUFOSAOd+KnhmoJOvJCSXozMfSZi4B2d5KFaauYq33NRHcRRxpoL8630VwOMBW0je2y0R2ytwoKzOZwx3HKRM7kAH5+dIPjMLv/a+csgPBRH4YObiQHwFSswpcOoNCwjEU/uBjS+SSxwz2zvvJeTJ0uasPUAek2RY9FnznBTyAnEQZYBpVT7vTmFr6qIK1bfOufBfWs/U8qe5C+re4k9m3a6nSLOqN2ftpKipn9Nw6pRuF1gvPdeSNcE/h2mZCcSLstAdt8y5XH89o7aoimwBvfF2AhTCoX3NXV+YXrhXnofYAqWZoHO3t1hPeMmTB45A74XvcB3v96MjLwebCBYi0EYQwywBPeH7oHnn1OEO5OaodnCUDVsLnuWbOVthofoQ/bTkg22VNnrx3ogWPmhVOyh/61LSKwvhjQUoyte2y9mSpha5n5n6kcL2gO/uCTdnAXsrt1sfdK1I+/YLnulXNpALA/4MmOA34QRrA9/T+LKyYfuqqdiku63RWy39r54G1SuKAWNmMWzbuvAn49PDY7/NzWyQgEMc2G91x4uczaRGSUXsi1M5s1vz8HHifpiuoSc1IYDx69GWwF+nl9dHnAZkzFg7UWb7Z5Y98EAyavwJi6lUo3RKUFBV0Q5NIHU9mLqL9hvy1XcljK40vqRmLke/sg79lPwT4r6Hdz6bOQJfoMOWEnLp/34rzWO8inEqSrYdy5V0wN8QaCkzM5gZjxLFiazsvU1X4HWR6a/cP7LeHvNCTUrvn2faWOcx0bJQglq31fTcEuCSvxpTLFH+vL08P70K0K40e2yM+4AfsRzJG9WJ6a3teN8sFZ++YM28Eat3mWOHqbV1FdrfSazfcoqz0mq71Eo8MztEDHrlomXAa76YTnZpQe5s0K960ZU7s4d5sjuDhiwpv6qRJDlK3krNKeABxHW78hVin2PWcPXIVtB24dzREfiAngrg2bMYcZvak1TD0lU6fGDGp7ozM0JkmFl2/386ZTmAjsR46BfgCmZccSBG4FA98YFnarh+Anh6xZYnlPkNy9SXJlKAYq93wAnGpGcdc+pwW/FBfaRd72HXv8G6ytPIjpTLu9depcq3U41kD/lLpgG8a5YsZeGnmLZCBZ/3g50cjEe+YjzkQgIX2MaAY7jsl1GizGVjY+p0Ahm+r6Abf/0IS94emTPN0sFIFP9eZ/RIaH7KhEoy0Ac42nIWMktEmYlDBDm7oytuKeRiDFECnPsjHexFOjoTkdqo4rLJ2fbNzOv+9RI2XtVrCv+yfWtQuOACf9Di88UBFjEQHxs/Jxd/K9G4KU/Ws5hAk9s+5HqaDxzBHe2FmEEPegF1sc5FupCAgJ7CN2wtBn9SwLI7HclHKi7P1EUbHISrQMmeASa+ah2JJR1JOeQe4JLoYuVaP+qgtTnHk6nxFx02moodbJSZnhTgTM/UuTxYzONTpAYRfD5VIKsmVInQyXzilwWU/ebcE3MWuDGzQF73pdbkiXdbuwbWLM159MjMjJKPZkgG0MxDHfdPyexZsSThbuLWFunrWLp86Ffp+r200Q4wMsWOFtgqHbOfjseLW0LWZU64waF+7aWIPLKn2oV7CZkjrdLUYY1NIQ+8SFrQRRy+jzVia86+QMe0oxzxHnSWL3svYv3NKsfEZl3oll/vHrxTR37Nb+dhc2ewSFlkZ7z49/KBAe6iLwc3mRv4/6loS2b311KQn1MBGKn9Y9Nht3Q4lv3FzFy6G4w8Prc27tLnqWBmbyhPKS4q178D7+og1hzK2gB4GOAq8Mn/W18ht8lNhMBLntsZsOsJXMcj4d41vT7AP/eAdX0NKhOy2i0HrJLWNsyHzZINysMUXzIxiXzYUtOro2xzJuoXzOlXHOxXUYSw3v/WF/xpi8Yun6Qr7w3DFd1tu4p9XiXFZergXPL2h9sJF/kc8x4iOyDG97g4rPtNbp6v3XYQB+zcfd5pz+8p4x95SKaM8TYV3kAH9KpnS7lmHg/8HfCATbbCt4nkB9bxrS7SjfHeATyLyQp8iiJL9CrLe3Ny+O5VA+gC0Li1s9i1aCfQGBBZaM4FOgDXWITYsmywP0wv9Gt/IxNtyLr2ktuokmzmubV38kjdc4azqpPyYOEN6KM3wFTZ2J9PGShgKJzlw+3BxP4KOKvTaGt8hTYqJhG1kFMP3heOLvAeZlf15BUbOFt9i6LJxVS75152JOKzCkFocECvwHihwncze83h3oDDHFKmgWOxBVjZAa4vhaf6lYnbgiOE8z7R2ZDcmACsDmdKLXk5wQt77W80EDigPB+lMz143K/nGD+oSzw8ZLb49VJvj6Ddj3TN3N/r4gSfe+QRW1cE/bMx5IvKTaYm1h/s+X6ntO0JQlfKNsDFsiuJ1Mt/fs86vwdeXqTit37aMZ7dzMF+6pgZjeEmG/QFtN396AImx59X47WZuuW97H73tua0U51idqxQ40pkfJrQZOZMyZB7kI8tGm1fe1/RmQLfMvULAzqcR/RROkiUdu9BzujpsGQQ8yONOHCU/bUammvu2D+KtWZe41OaM1C2AJLpUwo6EbA/Np6xwF/iCtDkHE1xxZvXHlGRjhfAJq7VsI0bBzmwTsOaqjfIAc/G0okcJvtUtG/U7OP2i8WdRaZO6aZIm/pdt9ZanKleQdObHpOPRqC8GnSegxI5D94MuTZ81WJRLi0x2G3NVA5adWM83U0vb0lleKL+TDvIH8Ny5+EEWMpH4I6iogbf/BY49C1nU5AO6AQ56VZpuaMFyWutSGUn33nHjY/dqw9xfwrxeGbbLwwaxsz8M3OAIF/EdeynaQe4t0LWjv1H2au3SmsJPLhIw+kmaJsDnh0ya7trIO8Dhn9kTvLNeiyqwE/ORXsizpRj5/G/PaKbc/7PIzwTBedchA4uUCWQ/Kicd/uUv9vwfG2I1amkeDh3ZANab05HM0vb1GBaG8gLX+prHuTX9mh81lIOxKuYjPfQphHLSmz84tiCFnhHnHYtB7synqwHZ9IMJcCT24kJ9K0oNrOAzNreS1evWYciEYQbOTTGK7RTg4S1QX77H4DXrITjC+6TEPJrSR18Of9f/WGRDotdjqjibP4mhcaNtTxIp3rILSUr0uWEjF+D6soeXUDnvuEQ8uyAv8tBPgBbEA7nJLf5DXJzBrmd8t7rCAuvBHG/GfaeLOTrfPl6om2Rgg6F69acfd5J56fwyHrlaI8LvOAwERDnvgjah/GgMXWyyv1ngaZ2UgvuWitaf233R0dFTYeMrowaM0E7+HcH9ZNh9FcjLQEb4tqWQW15NwyaRkYcuCxfam5O7tmz6j0th1+c+gLt46m4NGe89plhCzSWa3rj4bl2uXlviI/10F8b6u/zrtVKeAXuVPDS5pwjq2Hbvu5bIQvsnTu0k1zqDGKB93zD4HmCzgHdmqCGmxpsguWQeXzF9GjJR+V4Q+nul5ICL+qkqWc8YXa7c+GlMsIXvtvGL95bW6Dd+eXe5FvURPyjAW2iBLNkhxZ4JoBg253ss/s5Aj32nAvqtDsVt3HDQHtR/5QDJ+FsSbiTmlx4KbWfniMPnq/3A1q/KMe/+nlTW7qvEUpzZGZT4RC4ia0iDs9L3ZvnFrj5P/gd0IBUPxrGTEWhaIABZxry7oisylYHVpDshHoHc3TjEX5wc97iACfpNDm4f2dSVlMYXq0RY/hJB/uIn1vTT/PMzDs3fvVOuLBeFxUoKx7/A8VPlsblwL+Yc9ptK9Jnbtl7IgW8O4/kkgb4QNf99Qjv92htbBEur/rDpRpJZLzSz0V5l7R3j6ufGa966UAUxplDA/g7CzQ+91v4t+WJauBN5E2iiZ675C11uUwL/UaD5MlC66665EliwMFC7Q6uBgx69dDNaWn6UvoWH0F7kd2sy5H/QMR+1A7kI/gu4EE4o/8eqTOfmq/5LigoslDntdjGlQVIHKMWtJCfhgSeQ7ieKBplrCUwvO+MoZWH9mvPgUOu9gDnOWUT3B+sGGdZz8HnpraWA3PalsXy5xROqQq3wGH1U33d3NIGZdQhTlCbEPdiwVp4qDEEXb2307D9gDw5Yp3ez1+3B+io/5sb2KscB0lXu4hUY3slY+pRIeejvXcA72x4laOZk8qMnwaaCjK0Y0kTu+kn44lzArG9wtp9I4OGtWC85/QBxxDtUcLOXNImfHlxz7/7C6AbAGVwa3ygAdvvVT+PuZ06rOe0CpJLCTmOgoarLI9BHgkAp1zgHg/Q3cjsO0LOjUCrf2UrtrDTvuFRf5G42VBn5pVYXv4bsLbnWwk6Lw/xTlFUnGNyVDE/wPrc5DG827U33hchcNN9LcJnNf6zSzP7oJdjw9K7slTGY/JzjhrghnPALdOH+LmUztb79RoF+HjVptZob9XD5ip7Dc9pAV3OH1RwUTLpK3QBvrZYKpoGEdmHdOD3vCdfzbAdM0t+5CwpT9FyONME8F/Cb/p7wZGfQRBkHHPWQy4dp7+ZJlwsUwMY+lv3YxiVreYmRl85n54UBLYU04KdWRhfDGlfrjXECQa9UTK9A83+gV35gUGvNy5gJLOf8O5syM97xppHbmngFPMLK+9pQHbpmriZhbpsmC458AwGDEUI+9F0MoP8GonddkO6f2a23YlGxMxMrQTkYMjZg5ljKrv2I+uRK0fgxfk2OiPOa9D0/4+oc9tuVGe28CtxMBntyyYgMDZyEDqA7gAxQkBgYhMb8/S7lH+598Uao1en4wOSZn1TKlWVG6lyHv7bB4A460NsPjTuXxd0yGrjOQINRnJLBtD4K7O8g2R7bXpAVAEw15hkLMA22fhPw1ZOQK+IkL0I5UIGDM+huyvk/0iRQUyXmNBXTafbXQ27O8S/FObsb96qCBqH0+z5vzvM1rPRianSmmGN7pjtnlLPMnXlURSzW9vgvdkfx8wHYBCE2QrzFOKvaCwYQ2BubPqQ/ttLKV3/VsMaSM15Cwqf8HywmBonnfCj1aQoXSnLYT+qSF9ThzzOUfYkWgF7WVY64iSbkqKBYJzHKIF5QnmUCGBMTwk9YHN/SKcvb27Bz6/AWR4WPIfx77lQC6eSliPb6rEjxOSXhuQEPJjSzecM2Lq2568m5GafGbEwAV7jmHHC2eQziNfE1O7Mp870fkZ48F57y8bDO7mw4ef7MsuX4bSFEGewh0N7VZPpK8kev3XaLblgx5xPN6ZH2IijwdSmPbZx9wHvzdJCIVjJxzbkO8EUopEN6v2/Xp8v3vjdLzTnZYPSMN4sM+eZ4/6qeuAAW6EMPA0oTgUeJikt9Q0zoZJ8eJob93hM1lKsx3qcQS+W9LipI3ix9AivD/4/kq5yqsJ/xS9gLRgvzZx2+r1bsxE0wEzuzLlTWQV/zZ34te0PMG/wXI3gRwZ9zkZkOpB1tcWXimvwDPxAKEqqsDtSYVk8sgciFmBckjDgvJfOV2HjmnPFdtRuJbyZjvt7ZXcFRSrg+f6af+0z09Op7rsdrFEgQvR796lBEueufuZTcpOjV5Yung2jnywV1sCMLcU/MvJ23P13rpeDzlbNgMqKDTYZdMosNJJoD1z0uaMWJxV4ehzJQDKdpZvG9dfyNDWnWIFDmLvAl55sxss1hfiSwzysgCuF8OB7L6ALEMPD177NYvIu3XxYUmAcS1l2yUNz74AvNFzmpsB2avLFAxhP09/OVDkdEuCqm8ciXmFXT2mPT03vO0rw78ZKunz7dJpBPngP4zyoUzN0/+qzlW7Hm4LcMrZ380D9iOLTriw7YVFnn8M9eBQJ+poAP5AVc73ULj6AnvmSeaIS1jNzTB8Q9QPe58wd/M7d0OW9XmC9S0LVSUTy1YfuerLgcwiVZe78DTHEPznJVnM08B5eLiAedSRN7WEnWYJTRA6pYzv56PWNozsFKlFuPjN9B9soW01dk9PGnqllP1MbH+XXYrexenkiiKu+6U35fnK8mI9r3gaorG3uZEC7hidbZM4Fk4049gG7isuts9pQQTzPdhKVVxZ5FvBnTLTJ3e9GHHQoc26mxs6p1Ghg7/t/NatBnyoRwXMPkRQaXXKb3Xnc6UYs8By401IZVbE+nBn4JbaOEEspaPFccvRTC3YHn+WDEk88UAcxck314ckCX8N7aOqUnukL+PLLmGWwdtVPDQxZR3qDtUXasQux/Wliz1f1tf9QI88q3a2NtQR0U6UEvw0+clKCDJTZJbHRpYlg/TNyoQM+Zq46gwecqfHpW/LSeVdun6uI8AgadiwL+H2kcC6sXRPrR8k63o7L8eiEFvgmGCeCMs3fzbkSpliw5xKduRqrGBGYsxNxfc4hHqUIb5mlkAjQT+bML7a5nUPQ18HUOBy2avR+wLe5pnezqamJC1hjo3qTAwmaUX+cw+WtHtcTFTB/AsmVw2z5/mdn7oKAl8gELZ/c1cVvLcBwfcgiCU29/Fculul3B7p/laH3LVFng9YCf6zmXt+NgfpgJkF71ASfdc7tw5M43jEfwIc7y006mvJYV/mQrGafOP3tx9fNFfg/QA7MYA6UoAyvvGWIbSt4qYuyuC+t4UqGJYH4ZurHsXrkoyqw1bjk2mzwPUdyx9anC/EXA18/sI2/CZcHHID3iVZTy9fUGKzw+5LBczZ18HbZ+PIOt2uZ75M0UuYuS9+4/ns1Xa6SmdqhCPyhH3HepeR9L5shqWrHxuDbjwyeJRttiFtsq4ChsCadFF4PnjyoRONWhX7WbIEYPzgps1/7bNd0gE8t5izXwE0byupQ7biFqYgHl2yJVTnowbX/BN2+4tHUG/10TN2n0pkn0/8XYg6jg2202VW2H/4ylWWHNJQeRqAhBXr5yitoZcWKv1dYXIE5g2oLk0PsV785Y87DoqavX9hVEEuXekSH0rLdZvQ8PpagJeirNbWKbR+1sX9KJ/ItBR9lzxwemrOmAbhzvv3zleP8TVBp4x4UzdzXirp3GeA+tckbeKgzi6Sd2uqcBvC3NmhsNCfg6yxRZE9RkB+S/7HhWfhN33imVxIVM2un+S0PuiwrlKl19zqTKmn0eNbve+Cdvxuj/na07CADnctsdKwLDmNESlNPiQ48yU1/ryIpq2FwwJ87oAv3tjc149YP0M5dyjqSj8tW9unaBiSnYSe4O7/G64ui2QM/GfFoAc/AO17oa8n2Pyr2V9OjQYz2o3RIxe1yS+PEMrUjf30I795BIx/wPCrJuq0a8K5mZIEYPecjd5jufEI7+F31ujNSinCOftclwjQvwK9w/VUyfk/7v17qaE6pBJ4hfTvpoRlRbNZjJXBKrBUYGOUZrFU8zH77vkznwJd1AXwT+/LM8MIdWHeR99pbPkHsDn/Pbmzf/NtAUPLDwQ/Vvfw4gas7R+hM/lfX+5z1g0MQPqQjMD5wKbWze8ZmWJ8zV9HnlY96qZh3qMbZh3HqTd+zbNLsdZ4C8bAveXanEL9B8/sTsC9w5wIUavoG8DZIfmCu7eoImbuCdjnebPCsfS10KmmSQKy9c2b2vDUw/UzAV75Jc/YSaKeEyQzM+OJD+JndE2ee8w2Zvn5JPWjK2NJV1v5AI9OHjXzUwz6si7lSg81woF2l/z7AW1hiaHYMZS7uQZOtNVIo2apCVmmP8mYCHR/wo+Kve1KwviIEv5etZPp8EE1gXSVMuYmE8Vthntxq1MWwIkxOic/1vOBh8RoHNBX8bk750dQr+t2fEvKNb9kdeMSv82XEQlYEeLwc1OseR5EXnw/qHh6gfRFnu03R7gOLtSeh92wscm4n+aY26Ythj5uBR8xBH7RI/HPkfeVuIlivutzBK3U+r2m0P2SC9GzTHNz7mYPJaQL07+4tH/gxnaSVWfisRrJJBh4lPOwI/bTZgE8MPgMwuulH4DQ0u5KRBMra58wCPbckrFZl6jL71EE+Reidos9NDt2aWeQhzJ13+//PUwj3PyTt3iv25yqY/Mh6KcqexyzO1uPWcVjfwG0QaXljm76YDehkSc1eUfdVcnYlLvglG00wtxIKbpmzxcLP23p6/nmImFhlgV73Ye/YDXdkQKds3D14wTuz503C7kZ7c2reHXMtu3Phl1Sk2zkq76WFYS7IZ5kvK7BURMbSVo76KvuOsFCvajD3j/FN2d35tCGXob+v8QLb1wUQqyvTJyXd/LeUJjGw5DcwtKUAE0mPIM7+sbPR9HWRGXNSU6fBbUTn4K/Fx5HnEmY/yNQ8uPv3igUOlIA5QuUPdvSUCfzy5kHV8yMf1rDstc6G5E06RIieZ2eQmjpIbu2EfRYn6GzyTmmStWH3DuwRwRyQcvOBk3AnOXcqtvip6QdmS5QGuID4DDqU3s/FvzvgRSm4LYpuPkIcrDf/pNi+A95iIkYF6dVHzWX5W5MGJUJxdDqbPKFRCx7oBFj/yATESdQ9Klq67XRx0kEuoKFf9SbN/rdtPOlrHxveK6+clYMns9u+ezZF6QGbiZb7OazxsOnR0fQPAKZjpm4tD5MTtRQ/WUuab0owZt9SgcK8Vw9Tf0LEWjdj+AB/jk+wgqhjv+7CrKafUe40Tm3tJ/ClshoUZlbybfIVgSskaBB4lfkdfjY1TAZcAz09F6Ts+btiGIFPutRcdXVs7sL4z5ZJkjv8ADrpil6Zc/5XXHbr555nwwIOlEjTnxQ7DxfiqfNfH5ys7pOOb93GBhKnjqfrKHyQgd2B1x9i9Hap89s/e1BWl8iQXPD7nshw74tR/ijtH9m4vGrPjrXlZXlBCmbPnA+PVUyDU5m76y6fwYPQs7mHMii3tpGVD9JN0cUSmnjg2yNacF5RWQJfPOpAxTmfz2nBl8ZSsg13T8US3nL8Gi8P5hsqhbyB3s2iT57gU9PG1JoLywdwADY959oxXalOjKemEK8p8EeeRvij0sjURu3PNHnICd1KjdeUJ3NpdzHrf+90RVX0r18AL63ZZxADlE69kiZ5jpKIW/sCdLwCn236uLPUMfv2hJAA9KlXQcaHXTkqQiKFOSfg+v9ej86+y6PPu6nvcw4+d6m1mjvamACDvHJ7qFZPUKxb7SDEYL5K57admZfJwtQGvtmZjUMZHFwG61M6yw67cgWPIOT7PmI0feSb/DHVdzPHM7UjDyTOnpX2R9O/4Yz8TI36dYaIzpG5w80f2OlQPupcgWc09yJhvFbg/g14IVNf+62x8WxyQ05uei9tv2y47Bj4J2rhAxntPo88O2fqvXLJV92nOyyAvaL9nTif/zxRtoEWjMkbDfwHxL4NvP0PvK5Dx31H2X4ni8bJTQ+8kPhpuLOqUX1kUwNsOJ/KPnxUAeh/fHlIAT5pkDYJ5SBHm1QhSjLjC/7drVgOTQyqb+1c5uiktCQuzT33OLRA6+44+rOxcHg27pxxRNCZ+9fz+/4HYphgrg8xDN9hBAdYY8BtehEDj8noCWJJTzmI40HP8P1fZze/OaLK8noY6xK8XQlrlaqN9HT7650c+XYO1yAr/CXlioAe/qSDXptwj05b4tSBqe+nEcyXS0lJWoOnqtluB6z7Znptn9zZldOrbuptR8U+g/kWgFd9oxPB4I8DtnUV6NlbG2KWAr+aXjemh2sT8CumKqwCeO8x285h8gPa9g5fOgJ37eU6sZspdEverArNJev9Ww4e6uWXQbO/SJzEMtZ5ThNYE+TJKO/NPSQGMfXoyI/S4RmxCHgy7FR2VypbfZT2361loSVHiBXApWoze08aVgA5cmHnuQVzKfi8nqPd6+zGzm30yAB32ZD0ELcs+Mx9SjvRoq7i8eFaR+aMGRdtpC2IP6D3+sF6GbPCFzzUV0r1rSy6n3Pcmd6LN1OXmETyKKLmSbUMUhe99gGihiGPhMuH6WtVhwswFcx9sQBQLSw1+aMT+TK5dc04axXZ73SSLLc8WA/K5iPEGYEtYPl3OZFTHu0n4I8Axu6jZUkBceeNbIdXriOv4bWYe/CImznAGYMqhifuEcmeyzse9kI53ixhtgCPRrwAAh6XM2jKsxV/1nrKVsbIN5vUctyAPByZnqwb8G+zVYyZ/NQTCfhr/9DJLdOX/M8T29lT6o4cHdRBDMbYTS4cYhIwwy4FpufAZVW0fGcFyYHRSunyNwrTunHsG97AaxYzY255r+BZgG88l87tSdFfN+XzK36NjYNPFZcJrBfGtMlyluB3fAZ/b6lJrfCzELiuKDdyImyepMAPGd5WZncb0cBEvY9FhPwzSnppoZCJ7pmJ24YnPzf+ABbRyxPhHCFXRgePC+Vh67DmcZdKzTGJtDgLu69HPEFsMvdPemLOGwNUVgHiLUIl7z/vqXt4tn15NzUHMPuzAl+EMlLX3CHf56Axd5de97KfItrbEKunli2jGuQ71bBO7M4hWgEDLIiztWSFpjXCvLZ9eM3BEQhi1YQ89lu7yluotbxRimM6LlXGkyEt5hs89wsHRsmmf/dTjo3z59G+74fjFjoiVt8YGFiyhOXPvQO6Wx2ddasDzCvTCztITJbGjjB8yUCDuItzGaKOQPAEnVyY1oiHbFcP3UmKJCyn+SqKGb/OAkpreRdhau7T2E2M3sS4LmeKD4DiSVqojzyeR5iXS2PzBUeqrM05FcPlObQnaic042SAP/NM2A9m/PsmTQ2ii0QHj9LwkaN/97+GXGcP8asInlAWBha5PCvGr6a+PHYsk5P4hbl/Bt/hAKMfMEvMWfYXfLeligcbR/wNoumKY15Qa2+1VI/AITcsbPFb12z4fLw8EcQ4Tez5nHPQqAjv2j69psPNqji7s2EFH6jmyuVdZZMbFThWps+w2400wjDfSHQGPyWH1Tq6lx2H+CGLziMc23L8s4Ku8Mz9twd7khzW9tAlou8cmHMHs59IY38kMV7VpkFHgNGd35wQBHHsUAkO8YSIfPMFcwBXKP4+m57amqAWfCND5M6FqeumihN4zuO/3NRloki7DXiqkpozspkqtjyrMHzI2C9UpC75kCxkWAke11s5aYch31ZFR3IryU0dkXRc77jvOLUuV/CWIS+kBSzcE6AyKtYN4vArV99jwB4m9yAX3gNH7Gl6VVJmPVQfWpXTWCzkVwJvcI46Gzj6Dq9v6sCXwIQf5fZbNwf/725qMmJrHU/O4oAvh7XX9W2RZEere/HhpNiMU1dfz/HlyiKYU/k+oqbGhbPbpLV4OAB/YM3OyZZnFSGvHJtHG+gPwxxScK809WxNH1VznqvnO303sdyCRYmHdFKEuv+fR8SMngeEcoccS90Bw5oaaJ0visHNe/DdW7r99iB/7sEPeXMjyIe5D8pHBJoCLDSuKbVLJx3/eNWgP7jbHSG+VaCJb3W0e2Tjvz6PFnV0Bd7KweGeUXOvJ+7O3NRZ3cwdz71xrFkaoXMe7ksaAOvSbsCOnaemxmdxcVOGwCFk99LlY8Z5BHHerqLkeNr8G7CiA3HtlQNzlGKFD70XMly+QIMOuT336aAqFSUyHeaZCa9Ii8Gr+uStZF1Yve8XAQu9DeT9TH1zutCBbAhY44w/lwW8WvVfLcsK/Ltt9jpeuY7MkRo06qft2b0eZJpu6h38kM/Ep3V0mFWz5Bs4LqOg/6llA4N4Z+WSldiJltP8llqdB1SywdjZjZttwIamTogjub+dNvzWxP/yzN1zqM7MWUPFOMPaf5fAklUROng0eVcya9yLdbTWC1CfLZmM0mgA3paXquAfGUuEqcNJKCkbjW4qUB94JB/1yFOjGSq0Wfq+f60v9+iQ4GTpHj6zwygSLQ13mf69Yzo2fXlVsNaqEf/kGjOhu+q3fqprdtps2fT46xySHwlzUbpszcT+lFrgVXtdgke/E5dd5Xh4eXOvFOAptmbL+r8WzAEqkR/QCCjRxrdaYNlECT4685eY5rAcD88UOKAc2TM1+XrwZxUtG+bdEXPylrn+Uluya0fw5z261Wyfw/rmr/0NicDDcs7OoUYlxAhzHpZawGSgW6ZWuuDm7Gv/XTkJr4f9tUIJcHaSwL/7qr8WTF1ypOPlmfXloxk0rWAc8wK8trMvGvDFoKOv+LXWGihXJydld+RkfXoctO648S9zlz/TvhDsYsP6Cqhz2NJYPvimBzUddqqQFDTUS+3wmot5os/lkoaJD3/3Iwpfc3PHvrhcW52+zis3OWGryfeSjgSEpdwBH3LsLCPw0ldqamr3vsgn7qY6WzMXrY2eSWbq6tiIpxtJ2kLamQPKHi0346NzS12bIilrF+ZXaGqU6VdeCpNUcpifPnhV29Smz3UHDD8z0yMiBa2g9sVRzL6Dj9LA9YIN/CH5XyuPFvC14EM1uaSc31vRJTB5EtVjL9tQUtsEpVHXZ6Cz/72XDz6iV27yzDY/AwZ8KIhjVKAZ1gzEH+APW3pHWx/ohNc2QpWaOhsjHqXcP8rhsZn+bpyVq6mVwCA2g88szxxpbnnnKiIOzIXX3aWZWeZMXz3Mvoep2cTNf6afDniDo2V6pypS9p1FRmZlI3nk78t2stNrtkmvoUkAbHhvww7VIbaA2+6yUEfmLCvEFQoUCmPwz+tJYGiSO0tfb0lRQ1w+h1LQaE4rpFdBPx9N7IdmX6sCBycGfeGTnqtotVt9gfFY3qWev6iV9DB/TA3/cxPpsQaGE8MenHxySO3uVRcrxYVKKhhmwvU3OJGVaXIUw5oyQ7rU9yr6uQJDAV81m9w6wmOtlQWxfMQnESK/jufstH3anKfgvQEax6THz6WHcc0ySuTRUa9n2Al4NnLiPLfDBx2IRVGzmvrPlCkiKDbkAPFQTnUMr7HhI3YeVyzYHRd/Qe/k8RwnwCFdr3j3QdAcpfn+xoJwB57iC+aSnYnypRuPhu39xkUcnuExK8prKg4ec9Q1DY1XSWJl+gOavPKNba0AbBGkM/XUzhFZYJ0C6+ILxFtSRTtPjcn5XCSgdypvxtACPTxW1v7ffi+d1LfJ+ypd3yu/llWNKBRFgoQwe0TkN9+JF+gK72H6bcF39x5pzK9ppDlj+B14Dljhj1NH5L0VK8e0MzVR4ffB2xedq8Z/tfs+iOV9C4pmiKdfdXyxU2d+VBHqxahjWB8OFfNHFWhLxs2jsfSWOfshD0Fnx8RPHWB6Vz2Zi24mj1EGpt8Zc6ngHxQ8lHKyKwv/5R74maUv1ShXiPl3WBbnvOBpZWqOQ5wiMHaVDfPOkeBHS7f5+mOlogQeQj844BdqcpN6zswdrBN4+VpfrqUr3zD9vP769NGOwbu99irtc8RM7kePIzzWW5fwAMfgI575hDkLu4L0aBD60z5a5JraxDD3zG3wRzDPIAaHbTBYNODA9fJZWp6tJtP/SX411j49bfyNb697vrfrcTtswLaWCvgGv3OiwuYKtCRjKMgG+5JzXMjw4ojI+z5aS5QPpp6YHE7u5TeHib3/WU2faHPu36L5t0aTdHVIXPUoHVObOXnts9kCXBVwOMldfCQ22WWWnXOIfW3Mv2FezeYmYBPKYxMgS0BM4PD0lU221OJD7TSPyu3cZniAh1Rpw0pPsDU+M9BVmJOkZ3YeoFeufkm4WnA4+02szB7UDFyP8cSPVcwvtRM64ILvwF9RXuBnS7ucROirRR0vbbmWk+S/54qsQ9XQxb/1A4f9W7WRrYVYVvLOazl51cWaYa1IiIUUfM/0v1q/pqvovBKRvANfnmtTdND0YIgT8CTkWAn8A1xjY5104Nu/JVdxZiW2hOdI7WGFWNrXotlYf/BUuHbphF85S+ZMJqWhvaNjei8p6IotD3ICPQ/xhYkkFz0usKPNGdOEi8E+B2QAn9WBX2Nq66a8l1sbKzuzZh8+K2uR6eM+29jhWUnhg/7bZ7vtWoEMk2e1C1q3ybhmM4fnZEkk38jWuGooH6U7ZzIAZrZMjWTtKmAnFvtAXnursYkEHzulPL1WDH2nEX6vY7B+0ePONN/Jwn/VaV9xpFE+kIiH/JtTTRprDhoxp7m1LpndjTKG8RY6YuFi7liWwGoeHWRUgX6L+NPN2MOWw82BNS3O0T4iLjx7UW5pAWNiY9Pn4l/NT7x1HR52VxmjrzNVdjX5uhwRrPkOHmAiK6a+G/DuCoGa8i7KXHOnHZX56GmYI6SNSEKQdBuuvkCzZ1L4S2Mt4zlobIhNHw3618uP1gxbokDxaUve8Ne+qJHfpdr/kCEGXfX+V+vAsLvQUzYcVmZyjdkC/Gc9Tg5EFjdZBej38bmcySb9GqEbRI6Ng49oGbBZkbzugENcxI9zaHmK/XFB708N50UVehcM7HGCuCVdbu4hIVhbiEadhrhYyQn834iulTULGfy9qwjmlIUO2NTICzUudfrMXPKUjo7kiF75G0tLYUSszIJxfSohzXnJVZj6OgG5m3uS6Yb69OvP8+iCp2C7nRpvO1J0mAcybcL9mG6f9zw6PPMYOC9CrtTqVIICcjGDP02vdOSvc3OICVKkOkGgexk2vSIovO+42Nmowbc3lrTJdx00D2XxY20lXLHkKB3kZOBd8w0d6AhMzFbgtsXH8Lk4k88avDebfESBEtX4LzfVnGUMMk6cGslIAZPl1ixp6FWESUsEOK2ob2Eb/wAfp9yC5+ImW1OQsQTaYNYSM8q/q5CfwLNO+dfisYndj3Zj0Wjpm3iwuKP+9bBu4y6m/d+nuStmdJcXB6t2VFwH+l5FnQ/fzFcW6bmFBKbJgsGrCt644O0S4JO5icgox26B8JKADtxw1A3i/eYSp8NkQH0Tfr5yRcAn6TMuOLCP1KmbgRvVMB5qpyg6UwedTF2ZetLwLdk9s0nItLy177ddOWjCgDeks3xVDsQDxifQpKSZUFiNoP02dqtCzuZu3CtXBPSUA29JGq2mV+OTUj9Ie9DBMLlxazZ580ljy2+MMKr5cGd2aby3RxC+Vpv8kQGoiLmv/tvrbGc3tDO1ZdI23MdcAG85/7Q3JTZbsYvesAP6hoCXxZzIuBvLYp6amD9BX4Pc3GMUoWV62/DRoxi+kql3C17piS27onZn7tjeK6s7ZEMXtdPfZx6pW87VR4v+7c/rckPfpbDX3E6CfDjc8dCFkpFj7uzHqucfmF2uOfJj5fphHgOL0d+6IbfGWVc6dBA/gVHc0Es5+JL3fZBZKlZ991Sa9ySaCbPQ6zxFw9jkrEh2TX+4iynJcUB68MlP0x+mBV9leh6SoTM9GCD+68tx02+g/PwETiqlKpdsvVAr9eTIj8L0UnL5oXGSiPXyv/gnX3VgpMlrzmF1mDOXlOMNNMyqLH1PBc5IrAIZ+w78Pvv1vxHO8hD70ub4ZM2X2k3ubMJdxT4foPMWs+Zrzm5PGQ7AHbLMObyH/fcVU2xz316aXuqhLvHG6RnxTPbJpYX5weM5AL55ZANa5HCA+LL66TT/5BH/EuHc1zEosoM/1Ps+49R/y+C7n1EHfp8ENPi06ddyqzdy/+cdxL6v9Gxqloq06G5qsEEkfftod1qMnitCzSEefTC2fDUFriqOHxVjNvBtcrQVMb1oK9Zdqi28wvpZmribjHbmm//G4+47c//tRz0h9u3EMCc8JIKYO9xRV2KKcwJa3fT+mRZJBoqGgR+CTDQWQ/6hAupU1jyC1oEuQawHTwrMB940sWC97OTgbULzB9HKa4CjX8zGI29skCbA2roK8czf9yZHKDB5R9h6PNOvG8wR/l1bOKWcAAfMG3XxIY3QJQ/4TB1yYpScy8HelcIrqkk+WAy+lOIvFeDffIXX+pJmP24iUfu+f2eF6UsCc3NUnHA/zkOt82F5E/2nA+Swcq3LOuDLOfxjp4X8gbkNc4/vBDJ9qjQD7+lKJzHhPYfXc9qAm5rcL7ZZgE1gXCwYT2AG5j3ayPtgzvoAr0LyUWXgbxMyZI+073YZ97uTHT6BxRjE9oIhviu1tlrQUfpbT0p9ZTD/TN4KeBRzN2/iwPAvBmhZs3GUOdgmDJsaEcFh1wglwZsAZyLaiJuX6rnDUwL8vr+kU/kE/ruBN7zD56tMLzAWw/eObk4bmZ7z/lKFq1sHCcVUfmXjq9fzzdS6zLA9H0En7RYdnmrAIUSdJGdKgv+zZJSuoJWTKhJbRd5ascuzLMgdYvT7ObRRC+/dao5qIa/mbgAw9CkD3CVhanPBPDruX3lE4FFBywJ1kVM3qHEF74sfTSEDCeuiFfqkQh3AM/lQ0X5O+fCsneQsXfg8zAuZ+9cqzf0x8E6gsTmfeMV6PAH/eGkgiaLkm4bkpVHwWcJnbmodhjzMGYP5j6ZyAE/HSJc7NgFG3QGj7Ro3fLQmlrrhamr5nYP0ae4WE3NnpvDv5bB7Ygc4zJxtMDTXoUSqmGVqJ/Hr7Abb4FMoge88zzkCekeZR0ErZLjbVWiOG9AwYEKIiKAD0XoFHUiAF+Psaz9V4DFEhJGpn1hN3Y7ne0w29aXG5TsTeEyZdcXWv9osX9RGKNfcVs5qfMxB0ITmERbgsUtuScbFsmW/nI5pDXOFCxyVDjmTuHHyEb/RkayMy+G3L1oYuqrINhWRnFreQ0UreOf9q+ddVLt6zSaUp6jrjoAAyvn0mtDOIZ6TTKOUR+DRaadNfTuIuTAXvYsM7TMxfYioX3Ihy5Mjt0x3jAWm9q3nQ7xNct4RcCFpC+P34g3u+nMdoRA+2T3r0TF31RHGWoqIf6jBy84cB0c33Z2e+7eWd6JlO1MvG/yV8hveWA0vr3WhHfW1T8C/XNnA58pG3/Lr5mFTM2H7/LdXSYLuA9YCxKDEkeD12yjdZZoLGuOK6Ox/+4KRuU8oPRGTjvOul2GHZNgAKyIkhtT0l9jqPgHOWLECjwp+XGTOes0nvqTD8DpPoS3rHPh3Q+oMLnVNDQYCzPzppc+9Z+p3KQTrlK0QdWbTg+OdivVaOR6Bda9hLVAeeh/KIZGYZq/aDruKKpMvewJvEJNxjQjMh1dMgXVicptPzNJeFaFDMybfoHEeHw5PEa7iZMNwxWgHc/ijtPYxNT0tCvDjIQZnArEzsql0L08ZoGPpeJLH0qvA39KeIBHprzza/3/OLdunzXAzvekG0NBcCvku8iUHFgU/P+/qwboSpL+UeHjS9SsVIVn3bJcH5Jw5HTlzUqb0c5fHajxawEixqc/h+4LrXTWod6zla857ItrZmM8jcGZ/zhfgjtA9m5ocY3mvN5Ri97LL3MNDIU6F7miKkpA5qQPfsae2PKUis/D7vpSmL6Io70KTb2by9q2uV4F+5PBMX2c32EIDeKhTOu7B7yCSb4fnOQbmZBwDq7+dGe7LUXdNCDzh/Lk2VG1MdN+1PT/aUH2JCY9S+1sa2RZzf///abIJpA18nO9vYlhfZxwluDhdx3OZTTNqJv/Umr2W0XDbLCjnX5mehzZGuKSmpxsv675cK4qTKjb5vBhVpkcCRd5Z8At31ih3SFZ/mf4+sJ57/0cV/871hmZDS04Tux29J/gsB7TZ9NSeJdM3GfgnoZOJRdwpR/5oqHyAKnQtn+N2+K0j+k15V2ChILawlfafV1MHqzG5lxvwA8JuAwz5yu3BMH/Ba3XV0PG64Kwa7Q3TbgW+AT5f3v93DtO5EPsOTPx5VpRUZOSHXCyUmV7J4d7wIGrD9aeNk5nbKfioOYI5lFUWBg+rX7U+epYvbyenC0yPOiHQraV8gLnUAY3t1JbtSMDu59gfwcuxStgdoZ+mxmN15vMbsf0Fxzg3tdphzp+l7nA7/nHaAn+b++epqbvKklf+fJRtEL8G0BbaIWCoBFiHpNQffr+/m5xak61HgTUG7clhD3yk3xquHTwpSVztY4eUnOK3Rps+UYMH//arAq1gweeVsE83tbpXXZEb38hJxuQs3vc5eS4YfHtQu+GWi/XCNs4b3gHtzSFh+kEDcJliBd4GLTF7lpM6kYGAP5ZpDh6cbr5NRdKlo34YpgFfZZnzn//e683UQ4A4LTJbA6MnwLjAbabelUCziH5zyxB1/z7rIlnxxFbwWA86mL4repGbPyvePZph39ehqUWQPCpOEvj84AMPz8zujnz719/hXiMdMbE8YD7lOTCbEMnCB/UQ74t7NPd5Rtzz98VvKBmkTkQdYk/ZHYLxCjh4ljZCQW5yLQbTWzfcUZtPmcmg//qzYeBvcMavs9F7yvQdWBLc8urm2ve5+xf+jf1G9Nxnpg4Nuz1OllrARYSwVjo66EyF3c3Uk2qs29qGnqQxmeiWJHi42Gzc32msvnA8XGsbs6z3XxqFwLcfFOgfeDouJtAi3lm0T4F3eK/el7l0gPO5LKVg13Ogf/fZSq6AP/wTnvi3moA3RHcvmVqBxZ54ZFc1/YW5w39qw6+x/+J5C+vQTikzzBeU/PIErxpxNNt09BB1LAv89f24mX5d6utkeV0mOvDj+r00vRWC7plN+htH81FuClfPBYYxsdiIF1MrP7fRWAWve1LLMbXgZwIvMLMriLUffCK7knWSsBlc+fIFXk3CWtixmFASfz4yiqKG8SsDrco2/5JpYDxrOVUB2YCVy3wiQW1zvxY3p+alkzve614bJyOO4PcF6L3LTY/VIHmnoAdtDn70a38sWSJyNP/WC1B282yRj9Mp2zEX5eDtqnyYEcz3azXopAqbB7O8iwjZBjPggof9I7XQi+ePDNgmzf84jbAe4IPv1ZTcc9C3c6h4pdFBFMxuOP/5b7z8HOYjrKMv0SucDSRpbPUBvuWeItKxDb1lzz9XjA5XIexjNZr7t6/afbc7Q80dNMoGhn4rOfmGOAgehF9YuL827GDLCe0yG2Kj9j84bbacJSgNfApeMpIRodWwgsfgt5ztH9JFF/DomDP70bi4avUM2kJezHbFQXImiMh08KwKdIxs2i4nP831nJWcr3jcPatePmskTX8Jz9w3rql/hTgPnkjmJ/tzPQvEeIQ0jbsPUqBOReAntOkthE9nYKCX/xKjWjOHUGYnkeLJkkO8AM/lggb9tDz5oRs6lQMfq4gfsLAdZS09FfacajRVPTI9guajm3xnvRyESO/tpDxWJLdy4w+uu9T0aX19L8JNDywgrV6XGftcK4i5bWzuZCa7yjI1jTnNXb+st8bk3IFGkXMaJyuxOxfWjtcyOTOXPzPLs2mP8zpaNTBNJxH4hkJhwg4vXzmcINaqqNllEO+PVuJTC+1Y7z+w2H9RYI0zW0bg0EWOn3fsMvdkeixSPIKnhGddbooRTmm5A09IcxjqVOgej/azDqSpYVKRUL/08Fg52NSaXYXpOTgxi27sgV0Up25q18UMejbLli3XtmcbeGFHjlz+1lkNcClHeT8+91PqdgELpdNOwMe/fblQQIQaeDSsVLDXnNdy6CoW7dk5NHsKHMO/d9ti8I4b8BjTTHKfVHaHc66vbSHHHPGC0dKtdXMHbZnVpp7cwT9c2FehfQn6aLGotMh0cE1tF16ol24Q7Kw9jplLNfYyV15Lyh1RoODMGi+P+Bv8fddSHzzgfDsXWkuUWdXXH4itvk+f+2M2/d4L81V4gbgj2ZmtXzXbVzDWVz4Qomz/+do/PLqctzSB/8w+BbbloIt6Iu/Ahjp3UlfC+5YMOWo0Zy7pEw+mLoyazlw/UzeZcmbyt6xrbnL0nI6Cv5lzWJugqzcVJfEZ/bsL4+JYZ6m1ZCriPviZldvDDlj0I3VLC0doqkd5yIfd7uSQpOLqVpleN4E09bLzerQvqUAfkuGcUlQ1veIgvigbSQb8BD7ej2qTbfC/98pKF32VfePmPfhgW7/hr8XUC5EcySBli2/6LNVj53NgcfD+//Urwud2vDkKdc+TtXbmmZbP5Ufa/hF8O06HJBdiXvIJmWra/73XbYP4FTJYB6mTWG2kKljrqHGHe93LAubjA2KKTTjhEmIa8IOpuwIcpdI86HZnoXec6e7M0UL1HEn7sHJXX0FXzvC9S4pmltmfr/OvNI3JDnR9hM98FMP8SCO9ayzSVxM+NkMSppynEKsi0xOThV5Uj8PWapWnhYybUMIa41FO0aEVwBpTJ0rHPmd6gDmq7vBn4/9e+wBFJoCEqLowZw8MrSzwll+ClfeWgn4jfWgCkp6LgyudZRZD+GgDZXEL8f+dlfGRBskdfOg3jlFSRY2bhvsRj8DsW7ID7TB1Pl91RdbKkpc6PNybLXRYIVM5JiXeQmAGP8kc7acOLrIh6U2/8xz0q+wHB3RhgblL298+vN5m7if91tmZ0K1xZ8GYdQePH0nXdC39dwf80fCL02jwUrbZZDJ9mfbfbcgT1ssNeC1pTB00pGYqeAC+xNzxCoklgYLBHdgygbX4wY32OwtNe/mbiyVGINQAeJ9z8DKvO49L0oz72fSCZ8iPShFuZEMTDnx9tP3+jDpaR8NTTuqtdPUPzBu/crsQmMPkJ4CHVXdR6AmYuCOTPOVb5uQFjho0kzTuZk4HTxSveg5LWtnMgTkT85G85bob2gmvLFy+ZXy4tgy4x7lZxnPTyLPBg16bEL6i6CbiAL+Oe9ZG9sQZnglTpIm6iznXoZQQMZALYfuL/H9mM70AaDYsB2ZiMsOURKB9VnKvQpnUkbpktn9vov2tZsoHD8vlqG6ZNecQR44iLh+CSl/Zf68QIzJzly0X+NZEaqnFpwV616txeeVigTfAT6X9t7bQb20/eFT7PXfgGRUE4p36PtoyrYDh8ZSuwDu6MXc4kETAg7tm48PR5NqjwyMPVXq0u0c7fF656dfudi6LEsE0esWvE53+XqW1A/4Fbg/Ig9O/D2BaU6errB1AaVo+8q07VRyneGrWk2NfK9sfiCY9uKefutDmvOqEC3XgjkdpZJl+pXnukuLMQcf1v7sVv3s+OJYHDOOhTF3999sD5lN12kwtRRxVzOYVn09p0VhtkTky7vpznG2CeR81W3cmd0H17F6NaGoiMjF0eIJ+ebm18Oa3RjJ5eSKGhTfzQG9Kq61yw7uaGnO35In1wTb9WWvRrWXBT3x8rEdnKUp3DsTE3yokd8wGfrFMH3etRajycyQfeDM1wvlXqjtzHnMjbK1ezKbC2zUzNdACTsA3Vdm49HloevEkX0ebszTCB4k6YPpPr3lf3kl8Mfufp6zodi2sS+Cuqo55cabaauKEEaqz8/v+w5yjt+9/ro0g/+Ue3B4Q27p23P9Iylzpml4Evsm5emsC9SFMXeBhDdXWZTUwIsDWT76Rn3QztZJIUZt+NUibiuaxslZW6+FBxcp4fIEZUzrAB28mF/m/Z3g296LwlkA89l2G+LEN/j7akX8cXUWOsMaxbXKDZFlOMmtCnGH3cOU0dc+0XM/FBViBD3KSC4vLa6b9Mh/xdxMwm4Q8Lid0Sv/dyVrW3NKcDPbj6HBp6irTghMSJxFjt13qZqY36ChjvDTw26bHEnh+D0cmZ0m+i3GN0rHbUhclqaVsCThqavUQiIXV5hdi8r2Tm+DX9zq64bMxdQUK/sHD9cidpMwGiVqNb6mLwX2gAx3mO/h5XQKjQ4zTeYwq0NoTfKaPemg8NpQrMbUmqH9UznqAuTJVhemZPM/AYq8+I3eOuJUH+icd9rO570utJKecCAYmDGJqctpS72Rz8Kamx0aXwc9y8FmaMZJDDPhphuVe9SnoxuyV8MzJmD04WxCxyUNt4Kji5KXzcTX85i6YupQO3XTSitJOfzVWGY/3VYllysHhQkwNpSb35n1/O8e8pPGM28HGJMhAy9eYW/KHFXNUTfqa2QjWrJrB50219l/7UW/VwMDX2yQPP7d2CCEma8zi+SmmeTjny5063ZOAV2WOdFm+bHWRkFQQiLD6QUbTd5IDOsq5Aibm9qd3jjBXJoaDL0xF+ASfv73O2lqEizxfLsARYT3yhDtrqoSea01SovmuGZMTfGYpps7DnJQ0N32vCaxx9lQic0HT7lVxuZbTXFH0104nWdThXNWhljxEOAOW+cdsTgrsjMdq+u3rzhuxcoo6+2TtHxg8FXj2CDgMeBALYOuvTPOIbxjm+NzRsHOoLS+lxnNpy/IsJMFIT0J4K47WPhuaLeP4NTdIDT68ZtnG4ouFbebiST6lAB9hd//l3/B3EWsP2NA2vbTPAQnrmLw1CEHsRhl2NLyPP9c9IWzo3k4beZA+dPMJP9MeidLN/u3bgI/yJEXPNF8etf5rn4XXpaZHYCQPjeCXdOBSIfSeDvM7eKOzNPW0bW7qUlPGFWtDnOaTuoF+eMyCuRIu5s5DD5p+Tm3dq+3vyzuEgu0t4PFccfyWbZ+wYm9eKXQMY39JtQS/uwSN/Rc+5+eDBfiaFniUDHkN11MTeoRy5MNDx8ChIfh24BwU4Wlesj6D2MM96ayv+HWGNZA0YfJeW/zahgSB9z7VLuogRtE21DkwT84KfZAh2vIis+roZjeDPB0dsh7dzk7jmUBMi/gwRxmwBni9UQQmRwdihljf22l+5X6D77Eep41fOAdvw7grqXqAo5nPiHt0U6iGGMmHpSIBYZlj+setD+4iU6NK4tG6gqdOKOhGHh9MTW54fsrkIVFQjSc4wjPEkFd9gHeYFddzbNhv77NA7nLLe+BwX7U9Ttsg+S6t7h1Y7m5qY9amLvOkqkYnTjkublV09zRQXW7xO3d9VwbMOQd/t5arrgWtbiftYXd+8YZXFcZ/zkU5koAD41a9f6rjcBXF7DXbYVe7fx/AjBpz5BFrbylnudIJFeDbB4j/W+nsizqy1kqrEqMZnwts4/dF5O58bof5Wm7Dv7pYedxpotOV68atJ9Db932Rg97RQD5rypwaHlHpDq7oedGg1GUOvlWOvp7DVZZiBVePNsP6pds8S51UZZ+AF9uDiUarGPA9F/p13xx4Dz0a6/BgkaY5h9eP50MTNnfeN/c6/HMXplbzgJxcyDxHOMkhLhxhbsuv/T2bsmcbN44M9VyNpn/6sAEfAcuZXIKEAzt/sJC97t04eFjAM5CYmj4UMe5Z0Owk5yeYz9+CrQ7EhbWlXcrZLNNw9mR0cIjoMIfXYODrGCUjM/nSlsxq63NN7c87DcK7FN7E6Kcr7X+MPWUO9tuv/dncQ8p50sthvbZ8Rgz9vbcc4qrg9jn0jjR8GC/+AN14qzkJxaSj2rLTKubw+XBAhfksO1vxeeGchycHvHUBGjWgVy5WfLTVIQXvnzkdMCSsNavc4PkE9ZScjm65O22Ni5/mDqb1PNnpExzUgZpzPjv5oBNJsl4TmE+GJVEp0A7Gr0i31NTW+yCTyRfkrzMp57Rhq+xN3atP8FzMAV67KOAI8AlbDs8JtOoH4vQ7GRZajcmh5vyrdHSZ6cTC4vJsgHlTdtjqfEkpI1k2co/bl4fsmdeAiGP38qoRdFWFydHxbyYXpBnKaym4xhBV6wEYfphd2uMKGM4ue7TIgqeS/bGqwveA3Y8S2B/8tRSxHMCbIRb457xXU6phzCf/DTzwVurmn/ZSJE1fxwt4bppvvMzBTwK3utT+e09NnSIH5oLtZ+CwHaCPn8zajyrwZ/BgXS3+PHMbPKGrpt9a0GYPgK1F4zYu6PBbFX9a0k7+v/4G8k0s95SLv7OhdCDufOeDwrgHJjT1o7kMYW5sVawLVZheBYfdySJvIk5uqXNZ8fOPw3rwrs4CjAPcKyQSvb7UbJlrW8NvrK89vVVF1obt5G7qs8H6efAC5j3qgEoSCj4InWxcQWw9SbaAjne9nOZHE88/CvhR0s9daeuv1Hqs7Wg5sI79FCVBqXVAQ55iOwNWfdU/vFlnhI/AxaZvQaWoAo8DGva+gN+ev9sxIfUEms1n2sIcq5zDpuxky3plYrKlQpmbumg035u+exCPyTeztZNHzZ2N608mgLNH+dIN08t0Bt9hgQ+Hpz7/9rRpNkXBg37QSCe1y9MqX/K24KK2ga2czDY9pqrAt2FOpczUsTb9cqk/qDGhqeUBlw2mZ8zXfz971d/YSKE84Lx30NW+HfgMikNVjAdz9xD8zU4NiQd8b3p7Bgq8au4sebb5m6ld19jIV5F8w/bsnjnxMrEKSpMdcM3JdOsut79OFSPxyt8ADRrr4eFl+vduk+lZ+A2+rmsCpOsgydjYjSa/SII+E1ddKzGLCpFjJpALWs5kmNyAphJ4TdCB+UOF9onnixDc7AN7X3x71dU3926kSAsyCqRML+XKPINq+9woqH857gx//H/uvanXYljODTfuSCYG75oiNHOOtwbxOB1MfnwiuFCYTv6HmkKH5/tX3Z4e1tu36ZFeOd6WFnpmobrRAjvlQOzGni+4P+x4hH9agSNl+xCPNXhRYu4YIoj575nVeHjch8rWcTPggImbm4LzlyN6noVawT+8zhCthn26MIduOYSJEj5Hy7svQdWWiyRtQI+YA4zpgB8FTSJs4djSXWlJ97SVKzZ7/UiaGhag940N47gDH3AubX5rNbJybWp2zq+7MFEzrhsuDqC9g9MwGIMIm74xB6rnRfX4fBbrpiJdVbbETYBx7iiNge+YyakQ+gpx5cgGOwF9+kjDh0V5930GLZKBKuXWMeCE1/7hoXTQsUUqI1z/QHzewVxY8t96gbOPHXWiwKc0xDPRclcX0uaDx2GterUzTypE72DdT3mkesJUVPLLVYh1R6PHFU9dVhofFuF//ehNf6yjlSyKrVcVLrc6St0m6HaKLRGs6R/FiF1+ga/e8I+aSqsc9zaZBrvcyFlZjw00gALLD/VzeWfDZa22LqjH/aktkr7iMir/fy/F1FiIGordPCxXanfgife0jVGe6dRh4cHhzI6lZg/peKbPnEvA59UofQA/O2kx96WWWzoyC+LrQ4lkOdrkTXL1Vk7A+savUf3S3pPg8kIsTE3FzN++Z5sPsXkfZgzlEP/iypz4TvzZsCWVTnerBlOXf1+0hfxIJ/2jRg6IrmNgwzzj81SCVmUW8BPtKvCOXTXuXxpl1zFwNPg3eIa+2YdizE5EuBcnO7mSLdzAP5cykC7wV8+5z2DcpUAHF9ZIKc2dHU6O1cZdPBKZO/sPHHDJ4/ntHOk5Z3sb1s7/14QvVAys/1FpHMDvjIrpK0aKwFrZgf581aOdNha+wVw4NyN2qh6H51iC/+zcc1TaMEd3otCEObpLBXBLnLhNxGzzuhTQMGOHV067Lx19AOeHM/57n+gJbOic32/gX/HXyZkHiE8ujdAtjeyLzG/XNip35xhYcFyLdOiW1LI71v/uHYEXJbvKng8la2xFwXtGs1+6//L0XBEfnpU7rIx3CFh7A0Z6O1lLlI7zBbgUGPQvsPN/cbvX4Av8HtvE7Osd84EEVANTi8SVGl1ZjDpuzXO1JQO1PJd87b+r8NVz/PaQEINOLj/UY2mdXJ2ZfppSHyzQgrtySdT0alUbehLENsw8DL4c6MK+kcB3wethQTETCJ3PMbCClVxbQbIK3God6xj8jQNx91Wv0sVMUvAWSwp8l0ccYhcze3KxspKKhWtVjsmb6ReBp8NaDsugbOUKxEuI86BUoMQOeIcBY1jHW0OlnYfo0k44zAxbhn8cNayvfbZDpv3vvJhnSXnEenXGmx9KreY2lDPm/kfj6g3i0UL+j6lv225UZ7p9JQ4mo33ZDgiMjQhCB9AdIEYICExsYmOefpeyPve/L9YY3au7YyxUNeeUqmpOEkM+7Sutgcfsg2ZUVJg50VGMuAv6KGR3ATn77Hhp2atLQuVOjORd2fOrDpbCOrtKoAdw3m+c70McJGszmFrwrmD+X894aCsb9XLEGQttJvrSSwOU4tGeJNJls33e03Du6lBlfOumNlxPpfXHLa29EFqJKvxX2xNxCxS82HdKdIvgSCvAy1zjQJr53GJFVQRM2NI+8PMLHtSltgfjAUo4n11T+1rr47WiKCdMh9nAXdgnRxId3uqii+sxLoHbv2oPbmxKtnL0gtrVqA72P+3onU7bASe9FsDN3hPQGhm8z1bsPFjHBfDXzGu3OeJr6XbP2ume2UjeKjY/6oIM5de+gLW/4ym4Uud4Z8HlpZchf8VvyddCGpbtGFsvjN0gdlDaBOouRsBDKo+QJ5PKAp3TEycfQQf6aBAofsvt+UR6+Wi0tCGOpblDUICludVhMd4ewJVwHsavfljQ3YeYabzWQXzKbXlJxeCmAXwek1UpLl4NubQ0tWmQ12F/x5mFzN44lKOay15XSRCfM5vkymePXNiX/Gs51SIeqgi7kJXtFqFXvQ1NWVzU70uFUeyykORn5w+8P/zMXCxh7ydmDfhzOYgAMrA7mDmbFgcqXVLg43y2MVtuxq8eu8OVh8sJOPp3bc0sszycjOiaBOTFN5DyO/heaCbjH4sHECds2VHrssF3nWvBIfcr2gbMAvw1vgsztQ8nyBmyLXTFBeQpxz7ywEM1+txEcbjxHp/NfVaS72lm61s2BK+a9pi46HzaeEdBjzMdPHPeQTJa7k1EOmD3xoP1yCnHlTVsuf7rGZ/2s4VxM8w5YK4ktmbZdIA3xgGX9aVy1lJq8mFqBRKImVaoV63Ijk+Ao5CfK90YLX/CDl/ldvArxFPggZeGBU45ki2ZYluN+iOjJeyd+KMt8GbqAqW1aEw1N7Mzc2t4Vn3Mjd9NUsRp6us36erXGm7SxhfuzNfMLe9tAHtMy6kxs25Fx+nXYgs2n0HLxqYHUzB9AW6MCf18JAE/NUxds3Gv1US+MzeWNXxW5ph53LIkLBZmDh7kzds/DsBu1xzit7JJnGzowu1OS/53Tdg8C2E5FNQCLlAhUGeX/GAcYjloENBp3XvpZs/aPZTV2F0qt/s5g15hLoZtgzwS7u5mlmwbNa8cNTbR5Z5QvWF6AK53AM0oRzqsu9zFiQqBzRSAnIXMG1gbGZBrZccon2AfIIxKZ+WlfXjnDAu1GQ+N1VGj+oFc9cOLyzMRnsc2/dKVEfz9m+LyJ+e6Kq31lhcoZCE3PTzPmtkot5ZChYHp+ZuTiCSA/0/QrmdqzokswLNhPYnBepb5H1De+4Tb+g77UrZMCeA5Zd7/6ycyftMls/YLGwii9NPgBCZijXLx6XFg4wlbRenMHd3Kax7xc8L5N96QU1MOHNU7mbkqDajbctg5eJpB7+H0Nf9BTehErPVVD3CuRpXVonyoQZ45YHRGifHOKYFLA19cKbYT44ecMRpfgQvvatBTlY+zDDAX9gyvApILpO/llHgt1boNZZa+L99NXz7pqGTOYvnCSlOTlKLgDnnjt781B84FOd3CLi9J2B3q/OalPJY84DtTF3y25696MJ59gFnUPP/8bCL8xlwCz6ZZyo7Gw/xbjPGpHOYZ/t0rviLQpj/w7m2MDh9Yx+dkiz3QIg/Aq0cdcoHt45q/L1+Vqyvmf+6AI92BC6yJCGy1kbG2cUnE/lw/91O1AXNjc1AyMwefec3WjbgnL/x6CB84u5/cMU+uEMdOCVxBAgqyUH1QP3uykRPQSD+5kBme4qzhR5ezvUsoOcmIfIMmTSoX9H8w7JLAe2PTbE56LpDjA+AugOvx//mohujZUmJ6Qh814roJpGSm3n/0SMI1bpydqS8aK7E6iZ5LxhQH3WX8S2NiJ7YcPp8M6aGyPCSGh1MN8dDo+YyjOch+P+v4OmfzCIoLOi5WFQZWPciVB+sOM/KWI32DvfRTiu674fO3fC5TC3osz83Z3KyBXx0awOs87LzKQmdu2TtQJDxn+hv4oq2ey5iP66n6vzlLUfZlelSM/+yfK7GRJ4W0MgEgP3g+F8stGbOVhJ8PeJdHM1/D9LT+ziFzAAuAexPh2e3Ep8r++6Css2CNVm4lV0H1AY8J8If/8+SiI7cFcDVu/Nq3w/HkzCEPiK6m7l2O6tIiTQg/+KDPIcdx0FRHrx4y0NH2g0AOYaAJ86/9TzYlVjOWGyx7jyd5UiEqEshpeZi8MIXVvh5zH/THZmb38h9c8CvwNg90TVgNZMTTxSH60yJW6Ylpns2sA4hzlw37tC0Q/Nw5zenxyc0MpUmHvJA9vO8yMX5YKHti4NKvHoRyuNmNk7iQBybAAgYcYql9tDX5oiGvrY31eW1NLb3F7/XAf2qIH6nNeUKcV+jvWrMuyYbYnNvvOPMuaWhv6rnvGp486yEmrbBf5/M5Ed2Ex08nmYIn/NurnPDahOie5vtDCnpImTnFZuau1f1Ixp5ZD5Exehtxujtz7AvkD5xEIM19fW6GTy930SwGbuZiXSA1mL6Q1xlsQPoDpaMu21D7HM3GS47ysXtjIj60SBIa/rFZgC2KDk/Ii+8N8MjGWUfTT4d9fau5ytuv5b8anCJ5SjaXGdUfZl4QGXYPPP3Dyuj331r2UAncURRHOWTfKtCwPjwyfgYsAMg1tWR0sDhg5e+M5Ck+gUZ/r0K2q8JOA1b8gLr14XMhjy9AzuIrH2ZMLazJ+K/fQYL2XusNeNfXzTUzsLINXhqTM+R0iHMZNU63E0jJxIoPShzvqiA3vsm0to8bAR1OiqNNx98ZX1+gP4Mm4hTUJmHu0S6dxQXt/fqsa2YtG3X43IjZz4OlA755aqja8Yi5jXEKeYf42xR8TyXE4J2JRb7oFFcKcU/ZjYf50c6YZ7x1eGKTTo3xJMdlyUavrE2vFvvX8xhlfZcDZyDVANiOSiuh3UPQ+CBY/FM7a0FNL3dIRMtMLZn1AK01QOyvSpe7xr5cKbzIkpEH2wI7cwK7niSHp3wCfh/qyZwjyledw6qA58DPPOXuvAMVAXuuO+M+eZQW+mYj4OeIUVJwifvhiZ3MptYaVpTPdaHHerrYLeCl9JEPeZe0g7e2Pk6AK+wIN3PujN/15RXL7w2zv4Gr0mQyXN0bAZ9+StCNxtuVmnPfjURc8IAFquOOqjI3eWYbARz0MPXjd3OvbzQpd7yKCnJtgOtC7hxK0DiQxz3AuVcNzIh98jy5ugT9nsEeW2CtZ8hpHLC1bNm+JGhOzMz/BjAdcq93spnXjnGS+iTJHbsrdTfycbem/NARjcz8imuyDc9GxJezHeusQK972HfQ+DFwZcn6zvi/DSqQ38BtczbpY8N5mhbdmZhztMGmmfH26rseONSl5Ga2iMx5cVhZ1F1o38WJG8eAGRCP5IPxOTKz+FXIX/qr/F/9tFXp2BU0M71gZoakmfXogdaQzNzp2nJrzVpbiZ04Sw8aKSY0eFTFfFN9TJvnnx3VmKsRybO1wjtdPqrxjwOawPQovubpfZhZBbzoPiBWqKmnhr17YEV3yBk6YeDy8A4e8Dyu4p0DucDMzk/OrkzPz/2WBqZ2VXnYJfZ5Y8AdO6faUNA4+yNofQyY/aiAs7/2IeBxKcI/Wysu7hmiCbTWEzDKoyGp2unwJRk5Q96J2HM/ArYc4en9VnBesXWnNgmcVY4nx8x9jm/t+Okq/+ie7b8WC48bC4drDhzsVZtKg+VQWR06W8E9HwxeeBBoMq/649ZOpi6EYAycJht5lmzBmli8z0BvwN5xklDGCUO47RMvFd4h649WK7y4ji7P3Fk30GyPiqHXrMVrrYNHyrqsLg4ddRaSaLnkI2gPQT4qG3/hLVnJBFxYmNzYfQNfe2KL3CQ/DA3EUb3xnejlF8TNuRnX97PF7jnolnK0f2igJPf/zanAxm/GzIMlDioAN2fQVMd6hBc94Yt0YqdxpWgoMjWbOzUQnBUXU0ezwbNoU6ec+iiRI5l+td8wLydgWaAd35pwka2ZTYqOL+3we99fTc0Vax5Ugp9yDbnYelzPzs47P//c1Sh/5+TkYXkHjfIuh9mug/maiM8N9tqu7fHOzLvjwbIrR/mRWMrHv7Mw5tt5G8wsmtc+dGqN85J9PlgUd7CPznzcF5XNhwShijD8BA5aSLY+jQdD8ruGmXdyPH56Lh8ZI4Eaj2sSmvMVtSWBfoc8cDBzVJmZz0zld+WrlzfB1fgW4Hz5oqP1aAOPJayTIlj8xNqTxId/pyE/QE5phnWW4/FZwdoQS73jkJ+q6S+w11XnDt61436lTqzPljfWY/fN/U/Q9/M9D4J/c7+Zi1ZCs3vtQnYY904exLzelJkd8qEcbfpuEhpYGx2Nzy2/NKNXcVtVtb7YtYiXZNjZks+3xvLuKgIuA3FfhytpeCxMfe8JlNJLO4Ceeshgv2uimYK+qvIJNEGk7dx4nTmxuT8PElt7eQSK2+kYZ8EDdOUlN9WZAa44aJJ2QKk0M6CFPQH/2DWWQQQ1JuHRq4Z/PQj/OxsBhesMjhjtW5IvlYyMngueYkie8G6emUV2sOevFM0PrpMnt+F5XVJyp/sC/Ws1ob4JjmlLsdFLRTasUW3Haz4cH/kU/5vpBHzumQfNJiJ0MF67dJqlYJ+bDLP7yT1YwActGsYdYI5VjclGJ/UGuXfiAp4xQmfYk2fTi9jYysyrNf5ODz4s90R3OWfLQwX/8OuHuGjDflcQ47sdwt7uFeEO3hof/eTWzeZbnCmk3yismRBdcbZAo9roWWrTo8UvCTPzuIINuN+xEg+PMIJq4ANlDwLLmUdpza/z+beEWWstkGRCrdV0eMfW0QNcyjK3Kzn9NP2SV/jvnYFikK78EAWaGwRabjBcad0l1jwrdnRqR0/8uX9KZ8UCxf7vXEjWpWI6vM5Fr80UWGYWFaWHB0jSjhT8PTezqDi6t72yRNRchR/bBgdz1HjVpr/qcF82Pf5OETKeqqfanmljMNDZVxBPTgucUxXzpJgk9fSac7vYSUEsEVqbGPW3YnHHBuAgwGO46PKUy14wTkC3hImNvxWCGC14XGt1J1pb0pybbhr4KuS3930ge+kBXtxrgX1ZXNaq13PC1UvrXUtH7Rr+18xJGhrIqSpiHvzqwX3iYPYArY8rxiVtJ/wjBfAcHd8yMweQNqsI11Qy+QXv8pBNiGeUJ/UYa+KjN9Cmx5qTNKXDP36IHcumztHFG9ZnV7s1aNgU1iEfcIwdD5Xiz64WjzvEHeCk8SvXsLxdkObLj4iGK4+6jIWSc/Zwge9N8mv/ZD7/qt3YAd2USfv4iq+Mc2CUgQdru4AmXnvjCS/EMjYbOgHLcDhkdClQSJ29l4QrzbmGfLDyyrG8ylk2bHcnPOxd3JfXZlPAvfcrpooBZ/FLTtxyWF71bM96tM3NS1wNCmICw9+RTkk7Sw4r5KHkQQfg1sXRyca5hLx3h2c7Vog984h07dCZ2Wo30EVlG9grxDApHX1gg/yGXQtY2gGGP176650Y3gfvH+AtLr/2CfvVTDxI3G6A74ilWL4qDczhufeNJyLoovt564Zs7EzP54fwE4cOqGe+Bk4G78jqZrXp59m6ua1PfnKKXnNuJxV0T0K7N+rOoHuGJxU6JzQeWjSf8jHZlS4WGeM55UiU1m2rfnsQ4rAKlQZtPcLPu7RB4tH+7x1ylEv5QeCwsXLBkbTwAfjza5ZOnrmqSKb5HXid29hd8quFQ1vAd9AqLHfY2gMX1m81RcCH9z/MP9iAnt+V5klOO9AUM+iJ49qg7geycfVbgy1wLEfpSH0Yqcte2vwJOOo1fmY3A7P4iC4nS74nw2CDHrsmsIckImFDyytw44fxbm8cb1CQY8XQAYZ5PWiyb8CAHrC/h/d8BQ1qMZvnyv+8M2uOCHu89vx7CbFdMeUA53KIO/+ct+T+O5PVPmRq0gNmoH0cDtnZ1FzOkoREsxGtpZn9Md7s2oUE7/OyCeMgAy4LWg3JXh+Z5p0qpNWMr5lpi0dAMyjNF8y7c1mQp+jRd+tnXtt3m7LitHL2S7NJqwbuDfv3Rjec5aOqQA8WjcvWhK240dKhArAq3CP4j1GIAOAbTo6MX6N83cMukMc92OtvNBp2pu/GzBODWAe+Zz2ks9B6JBl9/3Ov831ILG3VQ2mDthfAr66ZHkytrxTve84GMklL62yaYU/PFxllK3EP78SRLy76AxzJ9PQaL3GkXJUljl2C9ohK3vk1yDeGMrscVwz6Pk7Zw1Hh/iP1u9jUS0G8REmvIecMVsriO3aYlSLj9qBtqT/dctx/JVvz7zwKNKLpqDxjFBcnFwRQsD+S0DsqP/7mwGGkgytq/91xepiq9z3wMmv329OsuzfgoB/Nhk399Z3+eifGONHzj5jiC+g2D/h3Jgf7n2drSnWRD/bp5MScD5mplTOzbL85+ntPOLk1IS/hu/+0wAtP23AHjvoB+S/lYZyUDidnl8zt2O1KHfeA7Vbt8CMbzb02fpKgtEm+f51VdljMH5DrbBphT7k8aYbg0TiYpmItuFbwWQTSYflUCHQ+4Ei9xTYGfIL4Erl7CInBlZAw4QPhC5ONFN1b6c6YDoQk48Ib8e97CW7zKxHLMR94wsL4XcFzSKZ3MkweJFwAO48W8Tu31PqWifKJC97hcLXYphyW79dqROJ/83p/vQdEvo9ERHQGuRzTw8aG4cWxXRWYOWozqiw9kRA9K4ss7TjfG/fT1Nh8U1P3EXVcCuVgrXK5ZU/a6xTye5ZP2G2scsUW8KNRfTSRss5bYHzuNnM+VWteQLS9zm0Al+KLCPXKR/tkfMAhVzzqoDv/ri0lFnPnt8SeYT8hkvWHzJw9w+7u2xFFoF3fId521NI3WJufytc/hAc7SOUeG/SpDjTKC/nqJyKC6hw+J0rGwc3seUiElyhhvwFOBDmTl8SdT/COJtB4CfB+B2ILcRZ/AzbZNYu3PHzcpU+OTb7v615/JWz3zAoMen3fEStG8I5fcx194C82c5CVMS0hHlfmatmOq1OC7sU2P4qR0CSYZdLLrorieyW8nAlIM6AXxYDOium8cj4dRUuIHxwRnz9K5jnJ6C30+eeZ9PH0r2apiCvYz1Xto762Mzfr1VI682I86cUEOpB3ixLAE3TnZ85qZiqaO6v3hHeogRwPP8vU6S6NSHZk4jkO7RW00V2KzKJj9kjRv/kbO2X9gTyzAMNgq7lnbhjsAh/BM5dOEgGH8YMn1/wgHeCaoekd7Ubu6oVT5oGe4cyxb6VonnWIVi6AF7sHF3IWTsPj7uzIXTnIV+79okK+N3bzMPW1JY0T0DFfyo2Txsa3kkqLOfJLDR3o9QyeH/e8j0tzjkABm9vIzJGWTu02DuPxIfnalwlTHhmz3cnueuBCu/z/5qaOoB2fZc8XyD1XZuYrFuUu4eU9ZXJMzfkNw9roB1gT2N+3HWDiJCdybHn2ODnoUQWmB3OO23DuSrEQPjEPOF6aOct3Niw54PwLl9/kOM/18wY8MP4qKbZSoYFd2ElF9beA3zejjMuhAW6mi1Z3tPHxRiPSZ5P8gVxi5qpeiPNnYxvgT6BFInDZ2MarcA7yYT438H7/91mz0Hg92xcbOPIz5XMIeY23AX4zPoHAb9LS/lyNnwNoHKKC+dc/JmdxwQZjlSsDHvAT4C+sbnKvw+Xr7Ni0LA4Lc49X4pR2Yv3zvT2UNFghnjEHPtIy71taq3t2mAfa3DF3Z41NuKIyqBi8L6F5Pq7AE+28cbVm0WCXLtBQR5fU8b4BN+1Gq6ziyYNHhy/QPwfB/tVH+WLQeRvir5aRI2ivvg11pBx5rKbPaz2ZmxyOIM9ZclIFYXtNCwXrht5Be8P3g38rFlEb30FtPLxIT0wtw7hzJOAtcNJv2IuvWaajmGTUhGa+UsfaoVnlwPtkRAmN9ImGKs+jZAPce5YDOaSmh94FbB+Nv6dnk4Gz1j9uTSTPUqtERYcB+ABqKUFYdw5oDMhD66tmqaAWKQxfAKx9yHx/ysajy7ZPNylm0H/KrqxyxwqZC4EOcoN8FgXXNiS4HvdTNXXS1OJjXwO2N/d21OH5Ce+Fx2sJ3Ki08L2Z+D8f8HbwRhF1YcYkCDPttV83WwSg8zmpMsu+UGe942Hp6imz6SbtegLsBq3X/PJ38g24fIf1Dxio2nocIO/iI/CCB44QCDK5wP78N+cWW16YhktZD7YnGeCRsx9olFxJdODJGN+A+xyB0/0wx4sa4a2mx5JqInl42Uk0l8bbqXH0rqVxkcCKND1/h7XaUUE8GhyvXP+rP7wB345oeHvkG7dEgVFtnGXteQcc/bc+WFp74PsKYqhLGq4O7X91Ku/llAFufjone05rZ68x8MHcIldFD/nZPXgywpGyP+9qtF/7cJdEmQd8mCVUM5IvpgbWxNd0BhbM/E/QfR5oFgJ6WX4wyy4S/xDXwX4083Qy9mmlBWQ4iANcKIdECmeFDBhVxkP2rkwetf9hJaEMswod4soyflQkMD05pfXnLvkBuAi3Sxs/UuCOFY/feVhamUZerrUgoX1ofufZEzO73uPDbZVmHkiBi7xn7skiPwYr/j//5Rvg11tWzN9mdmgyYFILWDOEF4iEHfz+ux7Ve9OjPGU6KYdyVRBnqm+e2P2f76OZudHHO8B0Swh+gWf4kC7gjy39JpDGQ+zVJ7VyyFFiIqPsDynE6CiAFzX8t4f+1gafW+VyjwM1E9O8EV9eqw24n7X4nMdvbYFniLUiK/hFhV3U0MGqCpSl/uGjcdTrTOh17/DVBhe3ClCSWMlWiXnNC3zGo074FEct/3SY6c/QZpZhY2dF7NdRBzlRXYA/nXIbxULYprb0xECT5sUBothov/2VW1rkAfC6cH2dH3YtcEZpPNAc4+NT3hlbWYvUuUXypwkh7q3jJt+XAw5A4+bLI+f8mwh8rgI7EsAh6YirzOmi3OkORsPzQQdYDAYfMDW8wv03N9Uh1p7mtrLMHFHmxB8iXwD9lg/Ti5yLvY15bJF34JTRIcxs44WpNRkXRpm5c9KIRvzD1L9L0yej/26gU6h09pB3FXBayMfB+vJ4kljD36exc9o+d5LjJ+TsAnTkDjCfYGcPa27m2653TuV73h8YcDEvH5FUAp7ZeLoMBFUMz5XorhLxD9DwVAH+UFeZOsqHoMmrvjdhAWhHF31A5s+TTRXAna7KAa6h1Q70bdky7AK/mBVoLT6sEWAazfhfO+v/7rKhO6hxt5HnzQJ+4CXvtyd9329nx9oa+xP+nyxNLcKrzhzytukpPRgukkbaxvltxRu7Gj+uxAaNN2HI1dLwv4tiivCCJNlWGu8T1vbJlqMDrB0eAMMfoideZe0dCrhSuWYmloT4HF562cL973wBSXviEAq63JcD5G2/9T9dyMPXdhq8Spce/QLqFKyc2ziBfR2DdkDGxFNQ4/O2gF6G92qjK0HkSEa+ANcRrIh5Rfmrxsyr+YEDlwWNvRQJap58UndqzoTEDd4hkUTHCXBHot4XB96/jafYJlMcCjFj0z9fR/EBuPZKB35XQ+nV4WXlfTdWfceqYPlOhv0/n0diQwxopSFW3xnVaTOSAfJ+IZDRq3KoetQnhU6rgp+ZmI+V9TAz5gYSzYOI5A1+/ZU43e0MkQE8TML7uDam5nEjM7czeN5/Z18etdY5L8zZ6n8+vCT48yB296GeS0WCeEwCEoqiy5m1cDFBbAXWDvAf8ATyJ9UX04sMeqXiz73pXLifNh3nxm+aGT8/M3f93/yNR8X1Rx5dbCqyTfb4lmyBlVFTv6ZAfwGWI02US57lhhPGQNPa+k4G9CgBq4C3D0bH1z4meJrLs3vZWh9dqI7Tms9P0+fZbPx1DwuvrgP8mKN6XMLc1HQ7ewH6EtT6b30F5AFk/LEfJsariZwNZwBcHWn0+QD8slU0M9Mzgp2Hbe5EqFM+UiFFG/GMiv0gBv46gyUQ6xbglV3Sw3s2qKMUK6qBs7NgHsh2GHHQfcM6v52ei636T/hZyZ31h2c+JE5Ku+PJliGxZhdyksWtTw8PkpwseaNMvdUi/oZ98Op3cHJrMXUCgj5vV9irbwqhE/AhWU+8bHv4fiG3hfEUi7qeBOjwPx/cd+nEXhqAlgm6iI/zmyrmEw90CLw4Az3fgf5aGvaw80G/ziqBSxoPAH7nxu9mA97M/tikMJ4B+NoyO6gHWJ9xLerisIpCMWE+xwbeABxPDeob+8NmZoOw5/6YB5Yt+AE4fHcWEX9U4s/GhXqdLf/OX4O96oEG/KZTHNRab22BbsBbISfKYzKSe8n05ewA0oHOBM0zg/6za3QYE5952Ogi4V2pNXfJyMOEAoY7wVMFa2/ir/k/H4Rd4sg7fe5TiUBf6/hDBUumJvmsRYcyfbDyILOSIb79+vPxeWmieP7tX37ff1Q9wcCKBxLsja/ZxGhHjbc9YM0RuOrb2f776+v0ylFJrwbjOVyNncz9eAQsL88O9piZrS26shxmyQMvMF7lDBhW4vCq7tk9DxbP+McmNt5xDRoCYhA/l4w66sF8PZ9tJTLgxTn915OVMBGP2PTe2MRvHGwnEejRrfuB+A9AA31VW2f6v3/yacbKsnZn+/BGg+ShIvwFnLMUEXGJNdxzU8tTENDK+2+5Aeti3bMBdEmm153UciOgjdvo8GZ62ypufk1umYs2Jewb6DXQfFgCH5zzoIuZhWwKeGH0wMkGvGP2vf71J9OvOpkqcTAhkOOrYA0FaKjm//puAm7m/Zo+jPC2A/6VKIiZ5n2f1ijucIGv2RbfckveGz8xtdyUsiXKh/jIJ6TTSHVEwP4d1FVZ8M6dheaCnIkGLj/GUVJw00P30no28IHvhB7vfMQTQ+UOMM8qdXfGvPMTG4nUzL0dVUWj5komlZTjsKnJPD9hDZ8Z3dQpZexRi9vGET8JYT1Yr9+bAfJ5aP/UbvfKvUw5C2A6PjKXQD7sHo1b7poIA9PpNtrLN4izJLfYDnTknPE4rLjp+NVWDklP0i5Ji7/3Vh96OXIXNFJAWIcU2+3gO7wp0SXADV5Y+VU6c1VZngMaZZLhmidMevmATf8QBow1PTZcjIDNDtuykXD4nCnf9FcydjZha0aY8Y+NzzzqkPHJMd5KAsmJWdlDaWz6Bv7lecLn7zyQpyoor8SWZwHrVwf8wQdbyhAY83ZYqTOs5SBvpb7sVMEtvOEz3eIAcmQJ2GbOUmZsS+Doy7HiyANNWNWAjCn6+6y/9v9mmea+PBtP7JR1B+rHvtog5ovuwkF2EBcFxiO59UkG+HdqUHlvGKLZxkPTTym3A22KeVaWVwoax9I5wl4ncxXoofaPLjce7/zVs3+zKkf+gBZyaSF7/jvDU8Y43//6bp4czo3vVYouu5PTnXDQXAXvdEP5oKLSPpnzmxGwzj34oANHRg9RZfiAJqZvN6qD2Qfes3vdf52e+1kwCTkePysHL7jgXzy4PdWUuCU9eo2FKewDM2/rxl3FuR/b/3nJ8aANOWoH4qiIF2qcLVPnljBvTDbjsWoXojiEJ2t96a+psQ8Y1qesnXVLHPsG++SRcM6bIINcI5/AMx8N8H82rEse7o0XXma8K6qgS+tpXnEf7CT8PTkqenbZE3apXTNd5X2M1dTc1T8f1eVaPvc/1O5GxboM+IMjuOnFOHrZRFg7LrRyD7LleKLvC2tAX9a9MpX096b4+4D1vTcUOGTPC/g5Ye5e7hipA7fkhVmfO1xcrmd7fuUoM9MPuGC2k8PFBr12L4fl0Qh+gzUDrdF9SIZ2+dSZGa8xcW6PZFy2lqrzL36F1h1i6MjeF+CMnfy9S9AqwWHsCF9+pO+La+7TX5iSB4PheIPy1dxybbx/rd8z2GJOCQJsCx+7etwfefB4gqaWJZ9L+H8W4TwxZ6pVyJM8IFYiQOuGvDjZw/3s4vHs6jNw8puZvf+q7UnDYQNuazFOHknAdjzAuh27U+V4SeZ2b3Jcv7NJnoEH7rh7EHkRbAm82XIq74kTA++XNwGaVo3lPQ29jvjHK6EkSCxClNhDHn/V29yeoC2ocW+qfXVnFLFal1saYuOrrbOt2VI/3jVOfMy+lgz42hd+/vHouIPPyTaIyV9f3Lz/65RGdYbeG2bHtYK8pzTkY5fc0vB157uUPNI3Fh0GyNE2LZBogAOAppSNG080OiyUyksiugy+v5v63VwP2Mz7varBfjM9Zsav1/ArM/Mf9sJDiRvk3syCz/5KaQOx92+eeW5mvxAfgQqyfWUjM0t/Fjw+ioIcBOPvJGoemWjuMpzTfLrcgVsfgbN12Pjt+eUDD382ah8elO1WImZWsm6TU2De311EjZMGyetOKmW9uon3/Vvlgm72G6+l3Ph6c+4c3Xbq3tXX4uGoI5XfgR7jVdtrzkL8DTqQ1/D8iYXfOcQR3z7vhqMDbn8A//PU9gk60BthDV74dQEdl2ITixsHLhbsKDfaXT1r+5ABL+RJMbgy/PNk45LnEdtoNPvAl8ZmtAWdOicJkVMF1jNF6A2beQ0Feja9OuOI44qiLhXlqy5l49twB24HfCyOsPGbdf9uwFWWRGT3pOcb5AB48gVVIeoqd/4QIXbbKL4CnwDdPmPiw/fxNTNzSkGb7BggTeLrlJrzYHd2mv5fTXsCHPVbBIlT9eVWu9mDfhlPlL8edvhb45Af0QcPGXSMbThtAzvJxvhIAs2VRU50sAvg/MDv9zHE3DOxFa4jydtI5casDND3WQ76NSuYlGZeNeP/mwmMXGK8S21+AW6K60GPZcG/s2KupJu4xD0sZDI+fDylti4Vw3YTAjb2BzMPjCQhGTJKYh7qvopM/TYBDiD/cWwSzkJaCgG2RWqMf3txq3Fxk564pSW3RID2RLHp+ZSSHYFPk8DM3GsG6Td63lE0W4AVVlkQKcdyLYt4lg565GLv146pwTy87qRW+LtvLZBX4cc/Utgx8BTQvRz0DwedrD0arhsW8xt38R0LeWmY8UnVUxPqZ8kyl0F0sa8lqgKOGtF1bUAKCTo10xgB708bU7n032cNeShHs64pG+yztXSlZfYE8P+pfDB4v0JkNuxFh+nY5RsOcheHLdIuHWbTvdpV+b6DGDXnKz5gYw6anWIEGnqwHu3AQ8JfPeCmFktdM5tzMu4rJvRdsP0jc/CZbI1T2whzhlnm3Dbsk6nmDHRQjE+2HvNxn50trXMb9na4xrmdQZ7LXNXHwCeUQ/XnVunOoX38mqUzmhqXtBgAUyAvO6B3+viRsOGphlWAvh/y5/IBXI6BLkNNKAcKDAQP3ZRtR9C9+3eK9LOx5O78vLlCeAWlKkgCNTNzt1kcIBKT/7ujF6usGLqIHjuA51/YWT0QH8/E+PL6n8/k+cct+8MtQQfJN80ra0agQ8eT25USEZpQUgrW2YytY4Mgh9ndF42GZyWCDYf22E7o5TPywEyD7lSTchBKi9jK7MGrgjmtxmAzM6NAx6V0XPtk4qyhB5fbl1UWZFBGY7G1b0Zr1/p/t2z7dNsQla34nX9rZvwUVUS+Shq/zjcGZWY2j8tSI+Zx9LmCbrSbQn8ITd5za87pwNOMBsb3wU/9g/EVe5RDzGv/77NxuJkd4IEuflMh7I0II1aQd2ZmhxmvcPFwK8C11/dKNvkByNNn9mHLJ7RTzMvanuSw9if4930eYKKmo3Wyux/QaO+ltYRsM5McliyDWALOF+cDP5VuuVVsBQ3KL5WLr5V1MXzkVP9fH6InIcZTX4qTNd8o7wag6QmZ+JjSw3dp/ByKg/GwcwFHUoj2E/vaD9LCOtfoAL9/z6wFJYP9qIvEhjyYcR9/y699XI/A1XUnajS/zhzG2jleE9CwIixtFipKBb6U4+0BOf4AuTyti88HcXiSFYrkvzVK6pm72uHFPLRiXs/O4uYaO6TQj9LMvQ2Pj+y5AGchl7ObWRTy2/8+q//f2b7/ixkhH8+gQ+uB/LSmr7m4rG0gzaTlOQ/1WVk6KJm6MYuTdvTe60khFqlDQkGpCZlVrn4CR7hSF1WN3zkglbaT9U+bD22RbWJSFnaQnffdNQ1Bl4IeF4UGvkSuOQrWFpEfiA34c5ISWjrNuI/oODMukmeiTS38HGEz4935nU1gPFPW1B+2rADu6KuX/7KVszVMGL8DB3RFJPuEx+/lsOcyWO+pD0pTZGs1eoybeep2DPphjnlBRgZ7tRzUe23migrp5Oiv6es6M9vMl5xPoHO7nJEE8OjjH5+37A77h60O1JIzzM/GMSS0S2UTyBBmXht6rxl5UhHPtQN8kHnmHs6uQ34052aJI+3S2r8JZuvc6TA2Pj/8gDAdgMksplfodY79JKNKU34YEye5Jg5KS4F+QC+jlrOt7XGRPW93pdFAR81Bj40pjwlmq2umJqdUL2ZedPZfrapbAw4JkexSn2DIeRtwhKmy4tfe+G+2h0BByyAnW8kjs8gMam5Hi/g7o9r4Di3wziM5XTbDgSsuO3PLUbtsV1qzSNzDrS6Mbukw3Q4D6/lNMOVnhbnLlLjV/85SdhCHb43pQRh3Tz5p2/jSZ2Lh5eA51FpG0Pk5cPXvJPAuCn4y1+xR+QrDO3tIpAs+rpfU+P6K8q6ossSExPm5/0oGb+PO4GLxqiVeHiXHVqOHNQn2V9Pf3gLPg7Xi1fb3zkEr1LoD4k4405kHeSsE/fBsxRoRS86sOD7V1tiNs8c17LF87ObE6SRnsc4mfjV3+i36V8/2qicJlNt1+RQ7ipceo59bi5QmVKYKHUy/Q0pDOSeumuotubOAu/m4vOdjBhiHMTX19Tz+bgvIh6bnRMDvQ4QbYbM6Qq+70Tv83QtzzEw7yE2Q2/HGOeg+AgrSAxQ/n+0OdgkvcS9nPiw34EWBot3GkDqVrLRBH5q5xgL0r9EQsKbeLqVHWwRzggWy2r58va8VtM/hbMt7IkyfDQpz0zsM7KV0cSCL2U4EOpvz2CrsUD3MuBWNDapV5MHlKQejpfi3ypd34LQX0pvzJZUlX3szWyVImX5yYb/4xioZ5LoJ9sMIfNtKVtCR4remXB94M2IOWLkj8NSUYZeIrmQDrKwjN4idN/iZZ3NnfnbiTkxyPG2yJPn+Ivlhziycwj7sTnb5r4+eW/Eb06AfHcTU183hYn9iQawrl/xIqsrG5ogJ4iR2h4hmW5PvBzHNfUJlBUj0TIMG9hvxK4fHVej9ZGy5na3PtR53W4W6OHOa17mNOYd34Z3EdMA3o3tTMet24lVp5hb5nJ8sbfqlYuMRlCPVJwyNaaR25RY4wL8HyZVOw72koWU1kzzSKb62gO+gZ7XJDaY399VbkT9vO9Bjjzw03rAN7A0E3EJ+JDZzcje2a/9wOVv7vtZ8qkL8KGGnEg3vK9yjmsWm7+cKcQx8yJbmHIFQHvAgRomr72yQqJzkay7WEzirY+oC4T395Ja1lRt6g/8GLC5eYnkbxDGs1/CoRmllBj8FMr0X5wpxlIiblRbyDfj7DTjfnQfZCrlJU9hPbYTeAduCFKnXGs5k0AsPbGR0AOFzlY04VHw+5ZG85Vvsni1rlw2xrHxMc8E85R/eMuatbDucBLOu1XQYM42eOdvvmtDWwvixA+6wYriK8I9zcuX3q1Y/B7woWZwqyMGg64zbvQfr/Q04M5RUM8g7Wup5VL4qkmF/rHp0ptZug2e65kG2g3jsT1vikWB55KOG/M0dgfAHaOMS9NKVBf/6vw7ZQNwKxfi3pwe0Su14CPhWAFh3B365nZ3EAyxiHA0Odeb72b1cQQff66mLK5tkDElKqbmb7VA7xGY2hyjdblPF4VGOg8m37KX1qB949YiMD12Pmby3UWfRjTDjdteO9rGONEuMPw/sb8XxT71lsDbeTx3IEvbRCpx1lwr+4MarjaoFdHWVT4czHodN2vrAWPzqAc8zFp94AftlY9Zp42d4zoAGtlOJ/2bKCPp3S1xsvB5DbCajT8zKEeRgyL0KvnMbkQX0n0/DxU6izq6D+Fo668LE7AMPAyYyv85tKOm7mHN5AZa+tEwXwIhsHM4TtRMzR6syXpbmXr9k+5RovcOhVxCLZMATZsrWShSoqN4XKxVyyS1Ivay7JKE9k620qY0rgv7x3lFOilcRqFWhT2TsvuoJ4HtTwLrxs6FyroXdvfyLqOnpc7HpDXxTDo5byr/y4rLBuhP4bNB6tpnL85a76gD6AIFWBL1KXrUHeStuoA35rtHy7fSrj7HRVZqF7C4n3kuBBI46JgOc1EKP0tcfJwfhisVMOvsRtPKzZTKDdf0h/l+HbMhOLHOuFFeQGYB23F7nGw9iPTzJLm47AS9ygUsAXpGicc9b96jH2dRY9IL/+p9b//UXmbu0T8i+gNB8vmRFZ2ZsmHuASUaQk4LF9FRNIopFO6g3bqOXhg1ZMF+p6BburIDResEFaBNhnzOXf1UbJw0zg1lj4HxxlAjvnAt+z2z0DnxcZH0sAV+sNuJHEn4+a9AlgGNWqYeNFvobco0GfvKq7+Ut5MZ20BVFl5VN3UrFApg3d8rGT9wPriziLXfZHd7Vdw5cp9xwnwA2/NYe/3en8s3tuKsFqvIB3rnTbeWwUNOzoSbm1lS9/Hyf7UTu+AlavyBfiSbXCt5/G1pPGtouqBFcu/jDzHMA/J5qJ7ASzTHsLdiAsKsCDmzm33kFIaM8YW3OazmFdfxoBeCGj/7dtcEzujQkc6L1e+P8eSaAifB8AvhLohzyn8/jxAfI8w9FZQyxRCtmi4QetsSXT8gTEUPDk22Q1y0ygE5/bwfpcQd2E+sy4PUvHvWTRjwHvvCV97B/x2VLNvWVvy/flMK6beiL2t0gQ3ZtJsCuCV3TAAfc0YRZ2niPmdrTsCziMheZVzr2dxKi78Z4qAfGj50k5bC+9NedW8kGvMxLuOqwWLZWdLKlXVhStNDp7xN43gOe5QNvkCu2QwaaKCNmLibzJv7LCboi0/gITHaXaCQrAX9Dz2k2lXcp/mz4ff+qxVok+9xqmlgAF36t0cP4MJ0s4AFiZzx0385buaNjaQGne1ZDsNWTdIF7S9hnk5nESMxc4L65U+uxnTfun5z4B1MMmqrLZc8sRv/VEnu0x4Ja7NEGidGzB2mRYxXGRWnrVQk15wKHWc83M8dKBouuInyBPXBWTpyrYT2rkJwpAj4Hah9y2IkG+0JQZeaLiDNgD6X/Zn1gxWNPccjhSPntqD+AJVkpA95JgbCKBVVMVTyYT9T967y8l0AvraCPgnyAfYqAYxQHXguvw+NM86JLqo08IUfS3NTUCPmq7dlqlwyl3QBnAL3BNGWDziF83xpzluabeRCzuaP5ThDqyy2xchcvwkdfqQ94xRbjl/4Uwe8ddMmofCstcgBQG8ox7pkO7pztX3ccOWjSmbryBu85rgXofCc+ttEc0vF2Z4BTsK8y0JBn0J3lCTgJ5HAmXXknRYxb5vVnq5vZeLxzqjf4jIvayNC4OAMelJXF/AX651VLbDGfIO6zpxxxgrfB5c+FtflSmrpU7NjZeYt/IDeyZjq6qfHJGExPGRrNrHMl5qL82i/V8/ZoI0mwjq36t25i/jHzixLH9FuQ17lor4rBAj4YAYd9M9jeIr61vCvqkcv8+Qf+7K/phQQ+jy02IiKtPYJFfpdoPhEtU3j2tS74In1V4ZELGR7dxgru7YQXRWMHsOKV5zvsYoeh4JqKuKA0lolunomvvjjqhIjw2jB9b0ytmKPCbLAPuVhxY+oyBBnphI4yuK11Dxlg63BF4bv0ppaN+MYHlvjkDXLC6xw7wO83i/CjcY/UkpKf0/OPK/thB4LTEWJJ5QS5ukDXsu9c4NUW5p9W4v71Ts7u18Mssf86KVO30/brr/eg+nMFPpZBnl54f+ja4XX2tXyX437MrLjg5h6uiN2GqSErSrey/lx5NGvesztwcAE/60Gd0mJRcm17QEFEvpgdH6qQLwJwWlrWs7bKBzFls87aNaAfFJIQ0/+8kIJm4kdF9aXt+Xtl7Y/1aHPAkZJShdV2+M8rjkFO3rBXcuKVQ/w056TU6oJ6wG7plG7NSgfW/KSieTF97pnFT9lgzmT1O2Yof+3DTOC8LczMMi6bobuJcYkSmywUNBHtG+PRO+LtQIDP2ALJkBsuUuAIeB/kWjOzncg6wqUsZKl6toEqB146PIEzjrUlv9sxeeWNZ27ZKxHHFYuVZTZPZCS/SDg/a2d/oJpc2ggneWjO+Dp4f/IDdNiNmekh4e+Z0HfbB8+KdgcZ/TW1+CF97hOIv+Dk7ElmzzcC+falvyons9IIX40fAPDcK3YvG3BPiwrg3cPuDn/+TH1dkXHnYnhnyaZTtoFOF5gAn7BUATyDH6bm9wwvsei4/tR9LOSGd8CjjbfY6wz2K2XxezZ9PlJEDtIGjs0RJzyOMguBnjBnrjIudbcI3QDfyzYadjv5XBwRHTcWHYFAokWMdmfuZiHf+SnERD5h4FpyVFpbEAOvGmmn7BOPG99miEU67McqiC9ZTxLQ1/dyakxtXJaGyJJfe9n4gHXAuyt7RqBFf88uGSUZHpcdrHeZh5/3spC9Yl1EAvUmI+ALgf3ah+7Jjdfc+eNW497MMbc5cLezW9oni5g5hJ7RC7m1pFWf3Rk/QG63nTrw3umQeLRQqxyXrvGPV+CgOAHNTNns1oJEzFXwfvmdCHx5aaIqvAGTXXwSkO8G9FrO7A9zFgRcg2U9uvBhhfj5AzgQ69bciQaDnT2XAXTEpSl4TgYbge7ziOMtrQA9HXXw7YGz23gnNLar//O9lWxq7oTxinDNQVfsxOh5VCjjy/YuafMordhO2Oxkjsob5ukGeJHSvKsG0D7P/Sn1ic8cvsuKWIhxltxSF8whznk3ATc7k+Lwz3+ZozhNItMbmIDOMG5B6ont5qGc25NM8YjN/O5hucO6haBhZ1ygHw4aBnjFuaYySli55QVaqXtIc9DxNAK+Tg8BrFNFdGIBv3udbxwAj0LqYtaM+kLD4xP47qEJ934VJBvT8p47y64SgakfGYADCm4ZLI1PzWC8GNQHG9a+4qCQwgx0HM5y33T/g7awQfc63RfrD86/94XmuTEzWwIvSkKMmpH7lVAZdiHPUdCnNnvQ/uiWlj6pwQNuU24Qi1/KP+4kYIrgh50Il6vgwE/Zcs+BzklG4qqPUxzGpgbk/C9vbOqjceJzEqnJeJfUkURyIidul2vpHiAHSQ7YJcoNedxa4sbS7tkZHjnTwvjrGk8v2MNRNqpKjGRseznmfbCrbRD6nJ9zHf/vs252VuBbEvErBbwzc/Arm291gboqRLQJYF8G8kkdnhAEMThqBjqDthrz3AKt5mozb4DXlm3lG/4BbauVQG/VYBcN10f4Tp6ZI/PqCxCDZ9bDbSPtU/tg/I3mPPiz1fntSkL5SJD6wU6XJiPq1ZbdBWSjFMnUfG+pZ6umhy++YWl+jWFNco4y9b5/yh4dQEPrCv2bqfshkEqBc2rjl8vDPQduE7XhCjoEO4AlD2xndzyZGmo7UD2ZGoa+M3O2ZQ/mHhj4YGzJfL820V/QviiD9/mEd59x/6+ttvLKevXyahkU5ZdmWG2pm0fjdPCOcUQ2HCqEvjJn/gL8Ae1q7t4lcBq+JgIiwik96dh2Ys6DJ93VIfmWlC+AKLc8AK4ZGd1E7md3uGaD99JfWwN4p+yDo6ZyB/nX1Ke+M1NfB5gIrOBCe5XKEQHb6OJGBzvgrm9cB67qO4gdHmLQ4RU/jFIw6+SU8PPnH4izZ7ZljzTfL2V/eN35jvBcsnFllLkz6LoZVY53qnzQ587jKRh3U3qAvT88ITbjdvQwGQa7DbXmDq5MT1QbyHfj8ZA7HaEhcDaqvlvWTWdHv3GLeBi4wf8+65yaQbk+2Zm5MSnit6bA72UfPHJT60HRrp7Im9EHrYgD4s4hKQIvAb5bB8g6W6ZzBmuZ33Yp5QlEzRWe+3ayvA8ZNg7b5K4aP18+dA/I5109cIc6i80KfGEWaPeoi/FgE+OSwgISstF4UqGoFOwhxDqQINgxwArzLFJ4DHJkkIf8GzRTXDPOzXkM7JuzGHAundcdx8LYJLdkWCMSLpB/YwHv2fSJlinjz8bav3F06EWIk0Tsr2cH+J+wHIwOoPG9CodsKzdleDVEO7GVravUeNQJCc/uEeXwDGL+dWb+Y+ZhGH6BQ8jpPNvl+R/PzMVhTJfKkUPiGD8dchODtMvRW8R/M7DCNlw67qwnrueS96Z2Crmwn6bcRWsd8HsdkQU7hFbbv5kzQUr/emd7/hYDvwM7m4EraxFJVlo8AqyG/UXmkkm/9UnVaLU7Weq7+tofT8BN0uJivB1uwFcB/z7NrKl7Dvsyt9QJC17VwfIQ7J//smZCXVq2Fy0zfVB/H2khv9h29NTwea9DnWJh7lD4uQ2HNXcPl9zMKuGyb4d9CVpFwr5L1XOPTe+TGNa04dxNHFWAMv/K2f5DjZ//6jeI7m6SDdem+NyUqQHeMIDe0RK+Arby1zrZhxhyFWpRdgese8+FZZ22YCd7iGN7doAHW6C1qNTx1lB1bPnBOTufdzYRwMHLLulfPo83l3ISpZx5TXiEvRy/tz78nFGHhK3v5fjH+L9fK/fTqgpilfneYcVckl4GNccfTcS/6NbZNehjFSHgLXPXClQ00+Fg7lxK0CnAw1+xTMuiw4zxHxwQH7jYooaYMNGNLMxg7ZMrnWaccrlLo8uO+ZAzoznLR3lIwz1w5jkgv/wie8g+cxsfW+X/I+pcl5vFmS18SxxMKv75OiAwNiIIHUD/ALmCQWBiExtz9buV2c5XU1M1UzkZJPV6ltTqtpHJqX6Av0WAFUvC/2of3Uo3cI72bqkdu+IFuhBGyhTmPO/QoxE2vJ9goV2LTc1lbvMnsIC5P+aAJ4QYinrux58wFy6KJ07Odz3p0D7hLclcU9N3CtiqX/uiPu/l5mjZYNdRAboJ3KnLJJS7OvQu8N6vJt8SfkdUgiVXzjxUoWZJOMV5F9+b8PbA4v2uInlNXJJUhTqCZyjyHrTD1rc0lNeDXb4YezJ9WuRg+l5wF7zKkofbRfLLNXeANZCeM+A9TDWVDufU9KXut4ywOYbP/gT2FwnKNhCbXJiLNg6k5GO7I8MsThFC+do+03Dz+lu8ZDHwDJKK2SjR0sqcB0Q56UBMYnJg8J7aUviyZy4aSLi9Y1/T3IoZcCqm/N9G+PFgzgCSkTmVLp00aoDD5eNoy+PRmT4JxMnXXiW1egvik9modcB3LSrc0tr4c3hWk+OMLb5WNHZNDYFSxGc+7h+iAw3vZdLwya36mNVMVjwkh7zfSizUIxN2WKF4U9LgAV7qr15lHS7nKpzvqdh+AlsAB29jsLhFxhFo29cCXPBdWaAz5mZyuP2mFh6or0ZYd4mA2FuaOt2duqQfM8s1pg2QKR70nAyXtXTaRPn/65edDDw/sYXm635hYWM3tgxP4841vXQaLmXz3Gqp8dSE8aXksFZNPeIe5ZW17KQbm7ywq+ynKzjpoDK9v4PMOzrAp8HWZuftB17/7gX0xAFmOc8fuclpWHEF3P+jOgU+q/Egnv9XW/u8jRPQXAprlkT/lqrg+yrgFV7LDfDkA1Oywmf8OYn5kgcaYmubcK33Su/AG9qvtQyelHeg5+c6hM+np+5goRjYyc9NjYcCdKUDr9Dph7KDJ5BIfnAbU4v7wiPwzisfjmu2KbvmnjLvTi0yJu703XD0IaPeyl2VNZZ6cdRyEu1Sga6pQttkIJnqEa1HPpx8dFNRuZHgyY5uu6Hdv7XqWuCXlpk6oabOqhou18bXVt6Rj2RoDzDXOxXIS+lMUTJMoOn/nqWDXn9rBD3bNIx8wHvwart9az7miwhKuxrkD2jhEzsxcNvlWY+Bo9iS4xAfea9j+nsOrRY2xtPBjk3tob200AP+3fHe9CKBnw3kD/DdqxeSw8bpW+qvtVnxEYt2YiJYm+FxN+cW4L1++wACq4/E5PJEZn9JmtNO2gzwzoOvTcKBegKs697TZb+sMH9ML9LwYM0hzOswCdkrj+iZBHyfh8TLRlPLZTfXjBBsqb3q8DNhtsnve8MucXG+tU99YOFCO2Q0da+nzJwrHtadqWeCc4eX2TCPjeCDHHdPgb7Wg0OC0/n9r24P8xM3WX/vPExHF54P/A52dxAT+EYJdZSWPEpYV/LD9MhtTQ9q1KD/6p9KrTG44ysOvizG2lwyFFTj3pIribNix+pAHiAWxa8zehbtUGXOltliUbG9JcBJ3Faw7gHFIlM7zDY9dbX4r+eIyfWvuBs8ianP2NuHyto+YPzuTdeYPMWIDduqCVF/dJYUP2cwivNrzt9wPvepiC9MkBV8Iswr3rEAKJlxgRHCvNttMChF3cUJsNlvHyYRbPfG2x2dx1Xp9kkRcoTZn434xdTfIHZ8lWgqKp/80E6+8tnAa6E9G/TEBX9ULmpx0dtYyOTgklj5Cp947MA8YzwAbrewA9w3Jj6/NuALYI4FiUPKoxM84LN8H61t0YRtkYIvS/0dzGOywlj+nd1wZmr7lgt1SH/qlS/CNpRWrDNmzve2Tr3ufpIzaEQxnVOEL5LhCP7mJVsb0JK4SIMpVqFiItIDFQ/w9GQi1kJwZKKdndR699rfyAjHtjyDD6c4FBwl4IdHaquUDZZDo12Vw3rmvfVoOM6Bg5a6+LdieG+KtagKyYPbrVPTeEPDaTnapifQF/id0hGidxWV36bf78ubS8eyE8Qc4ugM2OWNDRjnwLgiIkHSt1NOIa71N5MPgXOaLafhZpNxF1GOJXZu8DkmnzBbiLH9yAYvrh2Z11o/czZ9wpjB1/7qY28k1YAfiJpeAKmvzL2FrBlAJ5w2JD1eiPiyQe+BhOO8LEiMo+n6239ykGBmgDhHbR8g8qYFbhtk9qEm00/yQ4atABbgtNi96kfdicV/UoRS4GhTs49ka7zjjsa1iD8SIV1wlKkY8QqrPwctyGmwuXMx+RCfg4qjt7Lg4EWne6XbHGLjJxfeR+aoS2k1G1m08mAtr72vlY8yLUG7SuBLMe4hPpmez9MjD9UA8WbKuG6rAbe438a5qVPCgI+EzoGzTM1fJxUbB9hCNKF9q7i6wHpsiaXbbDB5ZqDq/NWX8/bIOp5xJj+4xveGwXsQ4P1tYOSIPQgwQDm2FStMR5iv58ncAefIpz7xG5ZYONxsgMs+1Mpx4uNdVcjPUgTme2gVQgyxtnHGX3sOc5dyfDxFKsyA65iYeT6igbkteCngo9Ayd1Y/6kBTpkEtKF7AT8mG6yJxYgHeFpWm/n+ANOivnwDxEH9n6p4x1uHd0UI8s/7XU5JqGJ9CFSUD1+5Kk0u0SyLwiGE7NlwlVV8uFXBzNu4kddqcDL2Tw7wEr+9z+FxC6zN/bg+if7ewBaxsSyHHcm2K6a32A6dG5MUAJm9ogyNV/dbsFF8P7kxdKvbrCe12KawvU6u5sluPm3whYVcy8AYaxLIJJKzheVV2SxONjg2COVpgp7KQzbv2I6ec1p06VMPf3VuIn2AZIlNDecZNBOu4211TCs8O81VxZAG1hRBb4T3GEPOBk8CnUN3fG9rcG2ezpoEMgIdjbnrVi3eLDOX9AJTJw5sNrBFkxeue1O3KgvhSRfGm6UjEo9JNwg1o67wDvs8k+wJGIoGIpl1q6vc7renBUSUrUHUvuey/vLKL9wf3n6kJVZAxdtIwhq/zTSXwT27jn8b/66UemN4eyvJMnYk1RbscOzoAb256Bd4ztj3mWh7L4eax6OLW5oxq/feUoTw3a1wkH+934KwMNDFioQQeifc8kpUKJT4FbXhwHo/aaV8eFrRUHg3DV0WyyjFGJcTD35rv7PZbOxZ8nE2d7bcIrWs5mF6FeCiHi5WI5Iq5+uag3RBLTL/3lAr8mTimV0yrTc6eQHIDPvvVx+eeFBC3UWzXK7KrTufKkjBX5ZiYs70wsyWLP8n5fWXgRaiwrwerFbwLTE/zt+PaxoKqb3gfG/DY98rWx7qPb0mxN/VYN2TwIm7xF/fapW5hnSon63UlUQLeI7hXfukd7MlLQw1jvZzBbbEMGJ+uXx7E03PC1P3/ezI8aUic3M88KmLMrS1XUdtm7m5SPT+kocqS/q+ONMltnpf2Dnh3OQPX3oUmombbb9PvVeazDbrBUqR+OEXPCvztadiW8IweM3uM7r+NGiDWr6pqViJrv78eHHP+y5kYs7UawaOt6FUbMy2tGSa9/K79/QIeEWb6lFCXf0tHuyxo/RPDJaYtzKEvt/azDbM08PCUlS7/ya1mrZ1Zw/deSDAFKdW57PicBDFjzDP1jnM1eK99m33ynEu2/talG/DamvMuU+ugPLh831jtQxbNkwWWl3/MENbbH+4sQWltvVPRryyc3MS92CcK41cQc5b/Xw890MHTxxY4C10q53UmBese7YAYwV10ym3cFhwbygXnI8uBsSwwvsHkp77xLMlGBTarVm5ymB6JiC3ctZ7k5JrrXXbqvhbmxgLmsXsKlrix8cJBT00Pt9e5nunfTCFCQvw1vlE04z8n63a3ugOvLFCuwkVQq/0hPrsm8O7A18km1LoZ5k/F4jfwDyt3tpSbHDuqfvPM68HWUnBZjvsFd/rtNefV+GUDG1XEMTUgmJ04wDoO7gRrPzAQ9gnxQxXiG+VqoGHbU6EdFqmRFfjaoDYFvR+Ije+Vu4f1vpOn8Z9VWvIiEO8kUwuw+CufbWkKEvLnLEpOjgzcpiwgvuh2b/aLCOcC4m3EQ9yd2KxZMFuV0BS8R5qP01UU7Rsb1UdWxD90jb9LNoVNYHv54HkJNXd2cKzY/JrzJcSQ66nvr3nHvIrNnxRNDNi3AB3rYN13TWjuabTg++MiG7Zmn8EGPUGJUK0I2jcMfgoiicU+3u00f/eSAfucEXjGf/D/swb39fLmb+DNHo2vgGNjYXK4Sk1QVkBkpbFhCYhFZIUx602NAMm8m+gC8PkYV85mAVZbmyh2JMSBE8VDfr4t4KOzlAeO6B/gsXoX+OK1H7UmI68II4MKiSV67JventW6XxMHqH7VXm6117TInpUzyxq8UGZpngflhpmzv06hirbo5PMUw/PzsM3zsL1UwTYjHWrFwGNmMh//fz+K9SQ6BZcnF2oB7e1OfhwS0VLG7Klk+pCH7Fp2HMa19XNmp3yVS14Q0O5dCXr8IGJ28yG5AviVwGqe4KWdC/3B2Nbsk+wF+uvvMAuuzL70sXK8PXdlmViNK5nt17r9oZSAFwxccHM0De3DSQO/sfdHBXwL7/UqnXisx/ZYO2RS/u6Q9FsfYuoj49OTWS2s2yXLnL+85e+MeZSIrTy4sbmD8Fmv/9wcfFfiKF2uUpMVT5nA/SnwZoi3Zl97Sn1mN3byqAb9JvrscXTwDzBSfoD3nnH4W+DJS+GRco27E29f/VOeeb+Y3uaXSvyeVx7BA/0059mC+WkJjvfEmZ7U9HgZ9AcJEbBJe2WIJ1mfXWk+F6eA+7WNWdWZ/Ufsgn5dSaBLGkijOc5xbf7qA0BsuSbh3k2L8g40dW9GUlZBDL/X7CUoSTuIM66pfwf816k4E5MrdeYpMd1T/rURwX5Td7ul7JsHG/t73m9Mbf2wFJtHYmNkzoz//29ZwF038IkLs5YHzPufNDCVkGcNXGGDJ7QbKhmMk+GmnbnPKu3W9P2tSljRwK8Tt+YN65czzEsmdGu85lOwaWwQjBwjfm6XrzwHBxj1Cfp3kWI6V/kcNj3bECc+cCtzyao/Gj4Vebff5COeQHM70hG37uceszZIgzhIzX5F8QX6jVLQBeAg/XPq7ZkHl5UMBDjwf3WxcjZ/QAx8awCEmh7egf9vU1EC1hwv1GZWCZpRUm74ieSD8USLC38DfEizNCvPmG5hnWCcBtudtPZP0Fqf9cBWEJEZxHGl2Ssf+zcXRwj7AvMC1tUWXGezESHMsmC/pOG2h+fe5Uh9iA79iFC5MObfJ9DN4wrvI795fC2Nf25pv/GwqUP/8b6hIrtj+Jyq0wj7+nUv26rHwOMDzFs3uzZiWpStgcqBlkf1mVhTkQy6PUX8G9Ytg3fsSnMvhC2+6XNHfBSnEDOoM7l4JHd6fvea5/u1cmGeWV93LLy3xv/n/s3D8/s1ZW0JzxynQj4o1ZIN6Dtx4I8iPNbWZNYJ4+H8DfqYUTY7LNyuTKjZ1KNXfZvAszjMnJuaurKD7cC42bWzeahi2ss1eXm9zUlgn1nST3jwwI4850Fsg5cL4C2zTPM9+Ow96FJm5pqKVHRC7cqG92fZb55p0Zv7QSEPvBR4bc4tDOwko8yRXIl4Oq78LV+T1x7RQqLJPQJ/5qH9Ad6mrSgaFYorZccXYgFnDBrLCH7W2kYY9EHq6e3Ebm5V8LeSoqJB/E10X6602u+DtW3FaM5X9+AD4wHmXAre/8Ub6DTg79x5hxgmBRlVlgt7lqGOM2trV4OalBUnla/nhsdP0alv4gduStVRuRhnrN2DJu3q8+1ecvh9Ba+wM7ccYgXELHg3GLzZ9nXvZleuwJu2Yk2HzLmnI8CP1sXUq47A/Oay7vePmi341ONV+LvH4Wnu7aBDY3MN7z7Ezy1wM7YExOaaX0z1M/ApCIhBavhMi8ln/rsXELzbOWrB6bV+NswX4rZzswI3sMnUD21rlySnfmNyfH5EF1/UYOrNx5Jb8gacas4nfhS6eLm76yvKu5NIPIayNfH1wPXeUVT91TPPNXJ5MV1PNGYnPpV5RwTtWpt0e4uGSystQnPKrrmjO9DplI76KYUuckqW2pHE1GbHbB4Z3yXY2oDP0HdlTwUN339rHAInvJhtI9fgIZACDtV2EuIsjzQHP/wkOtuYexl5p50kmD7ZAP6MS1jzJkeOr+BLjqzXPvPjK+NTWltyD1o8N8z0F2kfVUFyFUyyZrfX/RTQbXyunluRuOoHWAtzYT/oMN8OdktoT6ZTgc8UlYu01JkI8iw5fxJLPlJg8kwsfsVUW7FpdyrUjZlcfGY0Gx0ScbuSiKCDZb/OzY9pkTwb3T5Nn5WDxTa44Aj8/sR8eAoOmtTt10aTHTC8VzJ2Zy53VG8n4O2cEuYQs/ee7Ns31U/2EWa+8PH30WFPFrE77fiZ09c+9m09uOVTaTSJkUFM/dqYfmQVMDwVv2tmh625opYKqvO2Umzy6coWSVVWR62juHzUwfx2dPYu7Vvr6PC0Cmxa9piCHw25eCzgDpKXLquIRE0+b5K+gWcjOOtxm9n6ng36TjTvsz5wgCd2+biLaTgdTzrZZJZn84jvsYsn2mfmfkNZCXsp/8vDNdW8CEbBovpZ0+Jv/9Ditr6VhY6lA+uEJytbwVuZ3oRWW3IEc9TBSR1+WRT8Mrzrs6BxogJY61wCW6kyp7sefv9GduSb++p6EoqWNvayHsHXkcwd9eq7xBMB9BSYO2belI8EdGWuKnMOXagJtDikCAS3UCwvtC+1JoThPTPn+gzm3/D1JK764DwmwCubrNgRzNCFCuXmOrCPVuAp5299gYYSF5SQJj5ba3h65euW+7tvFU1dOeBHBkSQRi14itgTnRyxy0MxyL4U+ytwyzMNeXpw2+vRmR0ReLcmkuNxVdYpaDPsJ/eDE7/22Syysjs3OTtrmyjUUuzLoQ6WJOGt1YCHpytOZJ/ZLFgepTOZHMC84ZKJgsxJGI842AZVrz0Qcl/ZinJbesY3EaAC0LoUmPCvh3UKnJDR9hP02alYe8u5mmp4F6lovMbyLhLJBwODwzQvISbvSi13ouALeFT7YPUWK3ZFYpEnP5uaTTjBfFrMPgl3rGtjt2/may9NqeguAg3uMfjwWmwc+Fk7L9AzsYM7DkhROZOE+Tv+9mBb+2sS2HM+alOXtGxWPDDLO3O75SqMU+nzha76wDXKqw6XsJY9acuXfpm9rxTiZyci0CXTp45LH6OJgj/KjtbGPVgwdz62O6KDR2kFD8J4cnhuBwWekbv7RZj6BK5ysAVr3fE+BdrNwKKfJGzWUxEPWEwv//VTU2lTX7ugUYvkbWZ6u9TD1uivAP8bAkMNqsucWqBCOdnKC3wnSFXwCVBSXOwqIvaJ6SMHj1sPXql49sBafpb2bl9z/HP8qzE+m5oL8LvYPYX5o1zTM1xeYLbF5qw8G9BPHelZOVskg9bJmE0kI2/gBYGRvq5NET9xD+veuW2Oq97kq/oAd2uxYOtAnIXpv7Nk4L1yiSMiFpuG8bO01Z2Z0mAWnpqOXatAE+54uHZ4p/rekuMUwfeZGnh2Yv9/zkSE08rlG96rg3LRAeZRlprurg56UMcDt29/pOzPf30m/LImFnpkFAErKw2MUoGT3MP8CEQRT6d+i5RfbngUT1hcnif9u5fyyYv+aepqMk3OvNA3ZvWe6WBQocZWEYo5iuO8UN/5+OpRON/yDh0qc651ngNY133FvI4K+w3m2f1oLSa/d5N+QPwd41vScY8FoF5cgWeY3CqcgLXRHnjrE+aDYTYXD/GxXkH73NYyPftMDYBXPhvM8R8WTt/U5PQyfiy1ZmzkUT3Ia8KWELtfbp7PR6l3MLd3mYjIxIXpWSwdYbiE4vaEQBMHiHE23ktdutn4taaITBC/p2RoXzW4qMm7U1abqtCLGlaaHpS0oQS8/uLDfFnLobeSHifAgld4bx6wT59boPMWMXcX76YHYRqQIM23Q6K5Bq8Zk1GuTUgygbJnKshrrxLGkNkK4TfwBpg4y1pFrenpd6ioqR2iK8omEw8/OayDOiBzLdoZxoE2Qn0knb5WPu4Jaj3smj7hKKqp7sXHfP7teehis/ZeHvYjY8rGozowgZkIuX1wdwQ83rfh5AoB0/htniCIPQ7CB6DlUu8+4euOjPAkQ1nhcIa1p/Oj3R6AV3zBAlMzdK04r0AHoyZsX/XnL7ktD7yI75XdA4/oqrLjY9Vpn/ccJT3383BxGqpn7JJnDZ4CPHkOXMFzYL/Gl+1JmPrK2f1oAxedtyt4Aln1OICYfIAYMaj8/X+1PgT4JL8EJlmAG9uh0RPwROLhAqif6Qm00ejMT8rUBrT+XnXtUKF+A372wcLLg/qqw9bDYahxD46U5ty77tD+JOw4GUqPO2h47X2V9mSBZ7ATPy7J832B7xc81G1CkycOvbIJlgX0RcJ725fDHrhViWaMH9TybjUFPodY1uS3hY/43hSwdhBqJbz72idLtZq7l68eGbdHDt46G2KrCfkm8XfnUmxvzN15ZIxJo5ltxprn8ycOAq/2d3sm2hsNth8wzzYQn0xn7VS6ccR98ObRxI7WbAF7m3Pkyax5JfT4OqOH+ZcxTtyju1vUoPeKgge1yZ6zVhtuFyw+5hRHUuMrsGdUd/KuQvtNWbosxUKbfrmadl9Z7+1gRj+B/ZfMsW880AUtAKp6ffxj0Q59EI1hbeEwYxMH/3Y2tbZPQVyqQWlTB5ghZO7nrpnwgtwH11mwB/D/ru7JLhtuMGcQRKbdXVryI/XxvuzJRQ4oSNHXE9bH697N+STkgXbKTinoK2gCB3xRY2mfIvVdO+2GdPgny7cdW3cJt5ZARfEexoKqNXmeImz2EkMZLoej6eVnxY+GqUWK+U0K5JZshv/3Xpry0RS7uba2dyCcmQgdZrotU1/+iKAxOV4RA7ORDe0oA9UKjZLcWu7E4W8Z1wnhyvR0T7kF4+7HBwCFjXKB3TokK4R1zRGureV/PYM4fkhruql8uxHd/kGZ+qlMTRYe/zQ6W4jWdvpxc0xczEYy49DUOQhcRfcWp6hTrgYe3YPv3+WUm/uf5H4avH3jt9+Mt0lCyevcYTJ7oXnwBdpuv8leW6Bj+zJ/h7UzB4LBOreVqLvGTZg0PakuEHc1eLEcfmaF+Eca1rqgtz/M9NcZvh5Zz3egjx+Z2QfqwDHarzuqN1udt24KXMWicqkLItTgndX5fS27+FjmWxsX+Ed8bMekQ+LElV32y1AL28O9Z0sBnG9yrs/bSw7jmhgNKRpPUuNH7U1Njfd41cQAzTK5ZY7as36acgsdsWXbjEpe8WyFdfDJtC7IMF1OPrnC+AWK4SzpySce1C1bETshGGOmdxloMXwuXa9xQF1NzR0orrmQXL7O9ZzEBX/sB97BUpJAnDi6jVO6KAA2GGrdP2Ec32iADjnnexngN/BqheItcCK2Kkeb3pZa6H+g6bGuUWsLH3wY/XJk/74xNcGy4vLSyrvs0Ar8DDEmBt0z/dS8QfQw9211hDnUQnw9EtDyxo53p1GNGZVt7u8uqgAvOeCZGu4ccMiAITLnck3D+H4atU14e0/sC+jXKwcGPAuQDo/+bQ7OpIElf88hGvtrxQ65Ya0jardYBfY5KYisQv1WcdxT8/4cpRPw58AobTJMP7WvjplF3k6BR2G+bkqGrRo1Ky32r3m4Uw6zSodj4v57HJzS9As9S7P7r3vQoDhXA2JlgeXBimH9zZPg5ICdOWU+6JuWx8S9QLzVOvW/NtjUPHluqxOVUTUwV65kL4D1XzkVEP+H2tVrFWwA2Eqv8v/BesRvlHnBceUeN/26P26wFvoV1COu+6mXPUbE3bnYL69ZhwKIeT8UPNzRmobm+b4SpqPcJ8BU/NaE7LUHq2XvzSf6ZR8d4+Fn0980LHvP1KvKWaFnBoyhhr3JaUpqThI+sidlpD047YCdNgFDmEgdX7jTPvhaWrSf11OnVhrAeI27az7+sc0ds5ie2HYCL9LXI3mCjssTisuDY0/gG3vwj0nWaZNf0LOBeJXmGbFRQRmMrr0z9d157csz9vlAxH6lPvPqfP5pQqTLwbIb0b7yN45qAD7yzT3E7VNRFYGGv8GcfmBLcpMHlRZTRcKLRRHOaCjviZ5MzyrT5zyH2DiAe3kkfVzSUYN+ZxZoXN44y8z7xa17sx+FX5rylrLGyxmOcwbf68I/mt+EkPhgPWwjbILHO+AXc04YKASRVdih6mSYWaDdNppNHQcaQIzkuztF6CxD76iKwKGosWDuVtnw1+fxlob2bHKfMUSclCdPMRCMYa0Bdz05zMlEeBJ0hEuXR/S8BT3TR0X/gX9v+/I5c/AxFrCRuf0RJR1muOjhPfIsMTUYR2Ipe3qtr5/EabN6RBYZpxmb9vC+dBJrG9eO/oHPZB1tpWmHHVq0bmWVbiOw6Ut5Ba70kue8ZO7+eoL5XY7TEdzTerAbLxGXTVNIOwOvmY34tW+znNjyDdwwYSummRPD2JEzXnuvdksX2Lmq4WvgHX8wagdgqoIEiduMxMGa/BxsjjILlD+KFwUDVNnqt06/QvwNfLPgI8nKNXtpJQOdeJB+e0tC+8YKlPMQnXPgNtrtHuDHTQ2DK2VtQuy2YCYvhOvvJFAXIMCnKMpNZm0/cLf7rHpVJAh90EBXmY6/E4sBNy0J6dnrb8UnjSleUZg9t1MdtRl83qgcvuyGWVdh7g/xZtMMesnM+ZTT27xAhFqaJgF2k0H3tTWb2gXGCxbkvP04+YnJ54bY7RUVw9+Z+Nv7gnXkHcVggz+QB2L/s3Gw/ChneZ56DpMQOIPvXFaAnrgcfOQuzm0V5n1cyFF6VdHeyk4CN3lEhROQWvskoRqA8wkZEE/AY4M3fz0XT4OW5GzmiQU6wPAiCl4Q9gVrVqJmwFUalp4MCU18BDFR7oCy4fvRoxr/WbnYBrAG7UyDZ2GcwVoPwMPsMHs8gPXfcIG+ifN3B/wu8vlwomoWIfKV83VX+dyBRxlrF90bhATRpo68Bu+CLA7/ndH4psLAqjrgJ1s/ajFHph49s3gn9ZTSqHF52PoUvFLi47sCjnj5ZeCvrjzPmJh3pmNZufJQieYpovhOXZ434OuJi2QN+s+eoAv91wIqAOsUtAXi8NFKYL7KGNaecxLKFbo1+0tGx0d4zpJ3+K9vIKzjRI7xJy3wI7eSKzB8Ch7lsxLevQqXz9IJXPx8t9IicX9rH/z27MCZ1NzURfdllHmKIZMHlZuMWxmCZ6fqmXel6Vm7bxzy8innlKI2j742pnbh0SZWHrzfG3+XyUjlpWXvGZM7WJPgdS9XqdsV/OdKP7Zn1SUerGlLCDzk4WY9PreD9JmT+v/Wmk/fotCgbzpmY/DSSlIOsxadBILaaviUTi4SYPLt3tQBBh7qJOed6L6uv/9tx9983XtA2VM2qlu9aogn5JOFW4gplye2dZb7yjWna6b+/H85GK87+6Z/5ZL99tNzpv3pvI0OdmJVA/nInc2TRvBGenxsAvnZDPHHcQ2uUsRl3bUweiQ1hH2iwTVF2pId2VcOLxOIWfkav6m+uZIIkXp89cu+ecBpMbYzLzF3NCDGnDry5PqyodFubUBbEwSePsgcSVWueqD74d2qNH5SlFiKtt3BVRCM4m+2ol4E0tQMLWT4/qAw1dIosauCv/ZFb+W480+ot1mgL2l4u5M+9kqqwyrEpt/so7EuVtPtQuEHq2DbzPRPProY02G7Zk4LvIe+S95GzPRPKfgdmOfIOpN3r8BnT3nq7175bB0BRRJdaTWOzolP7qWFstzkqDk2N/cAcr7LgDnNWRJ4uOWbFNMKcYZV1hT+3lnmbQdjk1Zu+1P/7rWRJWXAMBaaszHYcP71OkPcMK5YrQmsEnBVQRs0pk9ptJtSQSrS6Q88SPACUp9QGyejymoOc9bU4je1GQvlNkP5xKBtp6jdSD/zQMdK4LyfE5tgzlysU3R51T66VgOOpXNzgac4YfA9ofIhZh5NHXWIExF4CIhVc5pwXeVomn/Pjvhkzm1+Sq5+WehUcH4Skw1jdamYigSXu0YsPcSfMxuzF7MNwk8eKcQJtjbXpic0GyQ59cirxcIFxTiNmicJbrYcZhhX1WK9fzAbI+AZnASg4xEpzd3qbPB8JYh1QtjLbf7De3KtxxhmIf+rOQM60AL/b0yfY4KI6eX1A597hjnclXzSnGZLrVGfwmeSmqQkmOH7dk6yNo6ps44F/1Cgmbk5fwGvxjvuCYRSanpi2cw5Be2rbs8OWMvH5taHRnlOVVYO7Qf44Bvw7i7vyZSGuOIDCn9rUA/2Rx4u+MRmG+bLla342dicpaY39pB42DZdzpYW/tYP69qPTO/XPJpe+1Et8DipRp4BJ/3AGg6SFXfKKpc8aoHfbDcpypUFMWiL56rAu6p++51ZHksG8Ptdb9XjDtZWHJ9Mbcfehji5a8Fz6UTc7kzsN4lze71D7+AGHnDN7WiDr1n5vRKtrEMllDWNpz67ikhfJJM5MFGBo10uA2uTw7qn59uVaeUBI9+Btyj4SQy+PCEWyZteH1QB7BPOn02wvPjQExo/TmEb5hHE8e5rA5q3/+0HAG+2Nn20Q+VCTL7Qj3frYC1+OUzPw6q+8+7L1JayTlp/0+LiwnzQGbxZFbLr0f5y8uG2SVx2xc7lFQ+fZdEvvNO9+r0r9g+8kNwcVl6m4X6hIbFl/7VWth6BKB1q6/Rg67e8a+6mPq45GwE2KE/U7ElOJjcWmHKCv/9lAdP3pnaf/JhfOe0VeBuWc735Lxe4WUo3PoAKTVLA2HIdHa2bRUPsZC6eToG1crex4e9uksBDGUVX8CQ/DHQzDy42eIIdE1tzpikzuxVHp7/WgXyd+bZZTy5Zp2Khy5UE7Y1Z+ECHZcdhGmfsds/6ZNNY1ko1wg3NgKmm76NL+qzfr0c7eFCdWeAinpirY04JAuvcKR7/4BC3jQXxKlxecz4CRrqDH2qlpcOa7/ZANlNtekxyZPpdfVQreFREIhLqpQm3x7xAH8AhN87jNnfjXR28u8CbNqztPB/IWGr0oYR+sl6amiheHf7VF0WZ/eXB12jFtmfM1Foh5YDP2BPQQCwIlaG+477cJJY3AdquMpCPfGjDtGidpGhx07UVG1RS9vFbY6NPCvGEaelKisKEXVahd6+ahLAWM9MrEfwmng4reKaOP+iYbBJTD/o5lxnIUCk2S9PhCjy0BFIJSPhlKTYl2YBuJ4Q800e3ZDIFTSlrNv3WJjTn5kmxd+lgve7r7WWHi1yjbyXe73nfUvBxSxN4Ie/ICmvnYPKWGOIrHsxdl/7BBc7F0JqOIhvSE8OdD0b1R63lTz087hBX7MSN3/IBZpM77Us9/XGUCKY0ybdcBK3T9NueBThkmncZ3WF4gxVFu6pc20D4+MfU9ebP2+ZgbY/AN28sB+00OXMfc4+pFjJ/t/L8/a4CG1gFYjK4XGCxVz1zfbTUtTrPFo3iNem/3KzbacGUR6OvK2dLdRq+Fjy0DFvZo/LjgK/qkkRoI12SYwfnpcYlHpU5a3lgmKOwrj4qHTvg37TpsZKG2xfPn+E5P1RoreXAs9xRhNlTnxW6NH3LTL5C1sdtxeUGfs8Aa3VXIbKhFrC/KyFOo6fRExWSQTmySlFbquHdUYWq8ogHOW95jnYv3khwpOKMbQ/ZSECdVZkP6kg5eI4BPKTgWvV20AQEJxx9cwtiJUex0qiqfLJnfn+ttLKFD8zkoKrp/nnggWGdEydzNOii95Tu12tupCloFqzBhNt4yKzsWQ7MIcCrpjY0dZGfR7EH+rnkLpBuNF1rt1+kYzhl6pSj43ptXRIsl9PHNm/MmbZt6jC3rYj4N4n0mBb69bdCDtqA+/aSDe2nCiBmFjFKmOkBuF0yiwRVp4LGaimOzH5H+1P56r+ev4hkeCUbXDR32TFz9zRTwD9HtzF95UtC46zqY5fRv5yKsC6QX2uemgz6PJC3ozPlVZe4OW01sE4kzrOEufJ9tDZ25cL4WzhmkSxP+gKeTQO7sg148nOz8srUKlKsNf0V7dT/7fOYsXD/Oq/sMIoj02OzCTduw8xzNHdmzQ9myZgIO2bFv01ZSJ4Da3ItRS3QXPPL1dRyI+f5p7FbWCNTK8LHUofmzs87sLZsazRRrNvf3rb/O2sz97DJEYt4YTqOG9Q+TS2TZuifp3yOYO2lELMID5aDYOYevP1Ri+13zlWAe3WsQgXenIHHBT4qTJ70Ls1YvK9HtDH1+BrQihdjExvGOOKyoeD12AKcOd2xudfXy4vprUjG9iq04qTbu4JN7imIBR/wTx2a/o7eN/jkc9IRWP3SowhPWMdvwvTQcjKPoa9nEvGXVtrlYG+yftvVQvITReS4Znce2BO327MQ6pvauMfD5plToCjTC7ZTtOk9mVhE8nV3Fwxz2ntuzomsYfzg3Vd5ofO6jz8Zs/cJ2r3GC4m+WZvBSwRt304D3jQ+WnA4VxDHYK6oRY1xyux/zwpYvDT9HewJA1/7sBY9NXgoZYsL3kgmnBR0JGdzhwU4540WMFYdsw/2q8bCzTJ3GE1Pm9qON8AVb8yVPwz8ReZmEEMVa5yJVkNyL4d45GuLmelTHCiY79kzd1uPduDdC/2T8Mw9+e25Ehu3pihufPA3vA1Nvsrr3IEHZq8B2BthqaLsgQPbhdgxpIEdNeDMGzv2q/O2FCjek3y2E4SmmhJKCpUyxgvl4FVFu46Ye7L2xUpDnpXPOSPOJA8ueG369fKVP/hjG8DzbODn38hz/jk+3214f36KYkdFe+ALPCRm37nD6XFVAz/PZ+D6T2byJ/P5dnTBuY67fW7HTh5Mec3a4wk8NOn1JWPgQ1b9yqkwZwlnNkx989xGSRd/nngMvNAmtR9j895ZAKw1AE9RxJibWaBPGnTmAL6lOA0xzFfegc7ZNW+XlANfcHmnfXxPTP9EGxST/uXpPWtnBtBso+Maf1aI3yWQVxXaEYOfk/1Ukd89qck8AzsxSWrTV9X0pxa3Z7VydOJoAlU/p/mWVmF8NnonLa9qBrsXgsQQc157epGykaTWFFGLXet1N+Q0cGpra+60/eBhi4ANF/iZT7riWIXawsHNIj5vVTDPWT+xjKMF2KcDnegSFue8Z07CpMwD0BdbIaH/vf7WygbtgXZZ+cc2lgM2u5h+7pua/a2TItO73hasj5PMmoF5TR5tfy97u60svCfCk5Uz56XdbkSErwrBmqFknzPv1jj8Q4S448FfjnSsfFi7Go0gkiUp5Adx2mMVmDsYDTAwfBbQaFmQNyXiz7rb9VkXbCh4GbK257qY9knAr4KqsHEnAfH+WgPTQxzM/r/fG27+avjP3cGZSG52tR20VLztxbirhN5vIBZQHm67clh6DDyF/Vak0fR5GmWCEU5zP96zcAt8NllgvCzwsbucodjkBVeWDeu6N3Us7MZVr7rfIeHtBbwtAp1KD09zFwnWGCMODrdLLqYdddqRF9NbArxHC5xUlACjTQ71+ScT8//3idmanBf31O2+gUeiejB5lcoUph1NDdg/X8kkl1QtOMJ5hQAt2IRzq7xKxq7KnvbEiX/yCM+mvw0OH+ZOncYF6MqQXJUD3sbemfv7rHHZgzPgz06Vkn+5iS1hle/Y8Tnj/71D+Vk6/IdZk+GZK6atm6B/G9XFAfD1BWJ4lTO9YZG51TC3hHNzvx54LN5IBDxgunaM2De1/bA1H/H5BoyF4hrYh6BkAeZ4nVc+04/bwgbJaTC5ed9bDPxc4hNpamazLq5KU1tm2Ds8kqbnxbN02zcYuwcuYpNHwqiPdONLo3dOImLvaCPw1OSztPGNIfAYln7V4cylj0vQ4+UUoe+0wKx2Gg++TmHM99gC7VghooO+nSLywcPsysE3V8OXU1neRqG4xBTf4GucIlN3QF54gW5M9I5A/Qqx+Iesf7V0YuW2lRTw3nv80bBtXo2oVA75SFi7M/e7CFtKHKoF/M13M7xbNLDD09jc4ffTnDbeqcM+aJTJf/yvBk3osd+zSz/muckJKf76+QaVLyF28d7U8hRM3vAIDBm0340VAzc3bkL/v1YONzn+6Hl0vB/qftl1JIFj8IYX+0fDL488gNExfYTDOAXmCbPz1q74zmks7y/PQaKv+wntfk4dc2sf3o1GrBovNrFxLDWMVo+DrJ8T4FHvFM45tQKL9ts7jE0qe9WffHRPei8X4fKsP253HiFzvykrQQdhnK9yeLzWsun1UJRW+RTot9dv1nwAG3XllYVagv5aEBsq9ps3Hh9rjY/5sPgQz0pTGzJfd17q7wT4PAvmTS+KHjRW/TSmrparQCeAhYO/M3pztyED3jA5ksDfnIE/aVW4dWSIDnnBKYyTZpyDTvGV+v+WTGPntxZwB/LPeQce8I0G2G1WktSuuceC6Mnsp63lVYXTmbj6tb5e53QUvAiHcf7MB9Pbbmd6zpv6nm/AyMeTr/OGAydYqiiBqHmh94kD3K93JtcmhrlQieGxVm72bIqLqVP+rdjFYhqbWsKvvC8HOBplKzCdvfNIpHZmjikr2GTO9paBgmRMHZgzuUlnevdA9BrQhUa6a3weKAf8RLRfFDJ7qaCNK89ra+OoIXMaamrPaqfk2P+7TzTYb0nfdkaTkyDzwEvtyjG41zahwFRX5ca6CpYcYvAbEIBVU9mKETnAhh5h0zUN2aN6vm/Kbg98mDyUeNwPlu4hNsUH1+x9za8ad7HQ8pgBJ53OMwbmhXUCz7qSMnPRJ/CFqRHmkLFfSzvxOELnpm816MUNu3vnNMiK+PFGBJs7LdQzWfUqKIqkqQ3ByQfrS5eO7LUf9X1YTS3xrQP6I0/n7Q9w1IghDpz6m9kbahPT43RAxNReAhb7FKG0c6Br6njHTCtgQfag/UIVUz+mVh4Otikf+FXq/VM6m/XgLH93OcXgAROQlI06gfcI3mP7DfHON7395Lp/Kp/dE74702G5qBF01W+XxsdX8LZWY/ZvTI3r7mvlMN4Q/yUNtjcCYyyjGLPBBpe7fXFUUTNT8xF9Yz295dzUK3s8mkILUoCmUJklBemFyYdfVQH8orGvL8RCJfO/4G/qvLIeD9CRio47kTstb8RCGvDpJUf3zJmTJLRftZ3tBJ5TBrEFLLVTHA+N04OnAY8jtin4WA5+UpyYIqcC4iywO8zjax1srdIiH8C9hFkmt257gXX5aTRJ6sDGTrlwATE5sB6mRsPruaRGc9L9e3D0z8vtKQF/Pyd0d+TWDGSEPpOxbave1nxUKHe2xxx8rWEIUfA78EKbO71TFejRgD9q2HwvxRLXNt6xEUuYv795gH/eAbU94TGqHI0lw2+NqV8wfi0p4ua+3HB4btuMcosV/HB0Ng7XZJDAypjHOgc3UAEzKx/ButVL6Ugw3juYR9MHM57YlzkN0f5/73AbE0cmjctjYAwG8WfFNtFCmHobGycVyAIdW07h1OIORYLv77np2dbra+7YAwP+lnragF91xShBC/49m9CeT+A903ym0t6d/+ZhNKVy4N95oAvQubM5XztaHmfh9PNfTc/kiR3i5KH3nVDVVoENEa3xcCcDpYnLBtzWWka1aB5J2D54BPOj08PR1Acf4hTn73+1WcCo3U+i8WCdI/qbH6Oe4uMdNClbjyt7ngrw4Db3QINjBnNedaqndm/ugee5v39USJq88Im4sd04OFPD9s7WxEqcxxV8YFStf2e+oekVmFjNqlYZVb3Oju40gh53pg9gHSxnOspZnd8X+PtWU8iMfsyl6fEtwu0gxy+nPM8zKfisNH9KX4MnnHzqBxvsTsA1cjj5+JVH1Inw4uABgQa3LbiKjaklCYwrgYVgjsc5Y+icc+3TYsdoiB8SYkYaThEZ9Can/EaG3328xewL1NHOZxZHciXAi1MMGjqCnr/W8gKe3JzR3atgu5o71LILgGZuT2lhEIpF5CJweY8WYG+vdkhKIMZLsS1xwfPK1HAJkekdb1cwJypLfShHHlIOjGfBGBcJ6F328sum2wAwBt4InwCTESuzuG5Ys+AA4g/9t6ERD3PwdeCqXeYzYPnmngZeWw57j6ByKW0G8XQegEMQH0mSMu/Z2P0qHfV2Ksxz6tfdQFh3alLAzqWrz0enPZzO73bm/PZNsmDcFvi3KPOZiDF+8HECr2R+b1uAYoa5rd6qoVyzUXrA2nf83L7JwXvDVM8wXzbgUa/J8zUP5yfEq7TU/SMfd+Q3Vwc8voR/maszgMQyE9hJA+ByK3NSHleJlnMFmlL2G7sWZOaGx8d/wEW8+GXDYgfxEp7BwkuN+GRq47z8sgrB84DnysS2JaK163HvZE7MS8f7ZhqlWW8BOy4TBg6rgD9ORZtWbgz+6esOHnCQED9zeF7w7CWsuBj4a4cjVdam3/AYX2oe/O2zHcBjcS5tsx+MaXxpBsumdixFUC4qnNtMxyGwUNoE+M4ZNjUvvUZ/Pcq+/QD+iEF/ztzm3+DFMQnnTe3GPrbko7Fj0QS6T4o/tskqGk+Z5bks3/rZGn83q4T5viPZsIxlgVAVAE1wU2+Im/NWycb2M0fS9ACTdYG8elATtzjJqYRYM4+StgQ8XQuc5ZkeDNKO/+pHpQFO4Z1NfNUDDm0Pa9Qe18AWHYlN7wAOfqC0VCrzLQdOWaUf++aOD7fJJRNea06Dk64F7pzO9WC5jGfu0Ykp6Nk+sVFYcf7qM7LHdJfLDrzVGl+S4OI2jjTx6pM7esk5ylnfrKWpYZBvwZdOnzlVAe3A1wXE+Dzb+CuigeUca9PYODs6U1+Nsc2d7TnrFM8d/GKA89HaBsCxXsa4J4P3DUP4TXwAU3fJvXamnFj6AV7FLQv+QSl3SYfPONQkc7Emz9uVDnEEsX1R7mXBbGv2WZjswYNoNVdhtsnE7VXD5IqDZoX3vMJ7KOoBaRrwewJmGXT6wIYF9M62kvz9KjucMcol+PuQrl9X4MFAAMEm4PCAf/2yh/EekclCujIx0RNtmSwuTznuXsxG6g5/42iqsANx1QdXKpIN0/wo2eSyjpeZ87irSGc5iucc7fKmANbv4x1z2plYj5Ws7c/BUnbClLkz3IsOubnZq3TaiHREJOjV8262sWVyg/hOiPZKzFq05vNJS1iL0q/ASVcIHSs0tRQhH+s2xnx3qK2thWGMGdIzDd49YIuA+2rGQD7AHTQFRSdCw7wBZv4fAyRcBx7Ez0M5Ivgdcqkdj/AgZqYeC2MKuEiZvRvwR9g6hfaBME5ob/L+OE8CeFY22yfEFnhWcNSNlfF2hOcMTOXag9MuZa9e50QiYd5OBva5tv5XR5o62lTF0yc+7WiEPFNHkAMLw3uRbNAX0z9Rhq2E2HqliKM64scqbPfcmQtgP21q5yaCVAJdnnywX/6rbDpzHm/6faqPJMxsbvpCOe35CDxmamrnY9sx1u4V712C5K625gN1Fk0L8Bjgyw6ObWrZQUzXb6cuWfPAMvVaOfz8mrgE4s/yd6eYFXiXCvXWdPxw6h93FmWmf8+mMTWyu3bDz++bTCfXlOo0d5azjBjw45eLw82SsbZM9B78K9rhLgZ+xxPV/xZZlCswi6mjf6+pft3/0tRSIcTBvtaXte56T8KzpYIIEczmTugKgSkno7rlVlyYWu0EfGlich4oiSGGrdja3LOuTUFvj0m4X2Atj6eg3YP3Yad+Nr0tX+ewSbMa/+tt1IoH4fceDZZ9aUnN3f2KXRKl0YRPehfAO/KARe6nj/d7zVR8ii5eplsL/PSeaLmj4eYuBhIzhCh34n2+qgm4iled9P8YQGw22FIa3lcq4GlPpsqIyO6HlbylYnk7WghiRTykCNZK8HtngzBmgd5xCMfkWq3oQYKpZKv+ZL/nMPyDCNAisb+nEXrWfvzzNzeoBuYhG1OnroT1CV7bo2JKslVi1oGe+DsMntVmjn1hYX+FuJIeV4LTaPcgFu8qtr0msEZPIYlFxAeIN1r1euH9DeIp/5TB/KotlkmnXWVvXSvULgd36k1dCRZYdxLh6URNrT7NsDU5sEYz2ttP5twswcE/m9oqXBdKyElpjenT1DZt7zhsFvAwxiNxyScnR+p1lg2fB1yFK4EFUIUpOdfOxWYuiviIh5NQxtcQYPMoG4EJfHJNfe1iGJc6NDV690CdZKXd/nrqmFdHXwsdDUvp79RHKBeaCd6+9g+FyOcFW9t9Ts3nMHeU8a0Z4kFSU+OjvFf9tIc51uYF+EGLsGqI76Dv+Gi3AXOJrsDBlNZ+bSgXJt8kGZBUvC14aOs6+mc3EX/ts90bUycS3lMzEJkL+J09T+tVflY92SXBxuT2lZh+3am1OKeufzBwKgdbW1kxtcRBn4ATVR4o+D2NdwrRALrzkIWKagZsA36pXF/7ALMjBm0BLz3Bk26o2ILXtz8bGDPexzHtZUSpKhqIhwQ8rAT/IUZ+xh/zszQ54T66kxGZet/rweULKBprhHxghz3rqDT3cMzu4mt9gafPTOZCTHr0be6k1EA6+fB+NbkWdI0FxMFVsvmNmwrYvTR3tm5qiG94bbzGbvcljY+VswSV+HIJrO+U8e+GEnNXnnBLLYZx/v9vHZpx59OwX3OmfMIkPsGskwJwhmULaAYFr/BRDljz85zxTv5wgd5yd38vuXS4gwSlyD7170ui27MM5AgRtcDB+xNW42ru9xGKXixqehE8k5Fo8MNhqeU5CZZ7bQ7LOvJWUQxr0dTmkE9i6vyuJpe/zcU4SWZPnwljT86n88EFFgR+ZgO7Hp09+Cj5+D+mvrW5Udz5+itxManxyyEgMDZyELqA3gGihoDAxCY25tM/rezP+T+1tbVTO04MUnefc6S+AH4dskJe62H+vRsVYeiCLtFC+2MTWU/MPCuzk28hkofKl0KgxJeUlylKvmB/mAw9wK+kZCP/xkiaG+hJmfViCedaFmewwJKtZyUObuXMp9z5rfGZGypXag0bsRUlA38Qx+tqu7yfA3IBXDNzRncUsC0vlKSs8wTC59LqztRV5JzfPCzQVDrAr9F8IKN9NbnlFDQx4PfZ9JpPh3+/mJJZXcDe96x2dt7R0R9t+NhqMxMC9Fw6LleygVYMSytjqMs2/9CM5ZXacwbLTEuXdxw0L2jELxJ5+hxqHzgkrpg0+Xo9Ay6R9+VLE301Eb4AnyXAVXqw052gwGGZerST71eMXEmYbCc3dGBdeMOVNHUuTbj/VptPcYS6OtCODDqhrO4DVtSvYvWAd5Xm/FSMnQRfedVXeinv/MZFHn/uyzPCVAwE4n13hXWK215fGuQDHzb+Lq16MPWWw50ycseg55ndeccNZUcX3whbo8z1hZnDxjd55m7oihA4ZSFf/YhMjfaFOzPKNjWmAp8aJMEG/UcOOqFxlq5iuGwpP1A9b/UI+AMc9Yz+ASby73wadnXEniXEtHTkHWVI5mHinsPOPzreG/CpNbW61xquyk5sycGvEAOfRqeTs7uaerGjm3yf2b6APcP5lj1ZpPOUzxpiWAX6AROmvrj2XUbxDJh9kVP3bTiWiNQ3LRBLC5nz0JtrNqy/+FWY3jRJKYVdsuh/PMr0FnNTC975nUTA0RDvAa/y+n1/awctTH4/mWQAvnUqR83PDD+oY2YAyRvTXWHqAWoL9rXA79J6zf+62UpLenzub7mTbRAnZxzzVIQPsEnvpw87601hk4wl2z/NmUejS5sMf3ZHK7lilBAZJSG2D1vVo6NCnZ2HoF8KBHiP7Qo4IBa/dxz8v3gX3mG9IuARbj2kT2Vn1/P7Pmh+dH4i1bh7YOvhtpPym/5gakiuOcqcdCBpO/5xQJP6dFP3OrSP9WCbO5LjyS0309tYgbW88ioZ8Asx2pXJH07BfkB77IAL3UkYmtwlwGzQC1N4bU3dGCPfNF+soz1fiKNt8lyerGgsEv27Sv73AfZ849bjXtto1xYIZ5bsmJCvs5Si/dyHpSMftWie5/dlg3X+rkcPdAHega/21E2AZwMn5vNQWvuh3kyfTDvJpm5sOHOB7/h81Km5S1U0WetoLkAjsoYRYeYH8/+bJTGqiYDC34MavLipC9x9woDDyXSO/665232kAfF/alAmFZubgdzZE4iZEBDDHZ+690qEz8oBrlPouzKj+KLdI+fduR1Tpy3Is9T8lc92Sq3F9FUQTbTwo7N7lK7qgecNPzlJdtITBrqqR2+0l6B9D49zjO006KwW+TdR/H2mwJPPxfx+ZglJeQbvZVfA/74BP3am163J3/3fdw1mtmVKMRcjvrQU9l3jidjkDrqIsNB7IwPBojdnWxjweg+41GGsTR1s91O7BM+CagcfQB/LyvR5KmRl2ObPvY9ITfXO677ymsYd5qH0G+5jTDvBeXfCgz4AfgNOS5ABfoCHnclHIBDnP/Kggbj/c48fkyhxVIExidgKnHQEngn79MdpNnKUo9el7j+Dwa+cio3G/2wJ/FqOoOeYusDax8AbLNDEZxLLkAg1yCF02ej5oK2ALBFj67Thsmh6FDd6HvJefokYUeWamYKlXVO5NCFg3+hVqVhf9ctFw+au0cnJ9FU1Zzo1W3bMAr8YHleT44xBv1a9xu2wT7BWcRqFK7zLkaKL3Qb4WbIuEIE2PWxvptZYDmRhFB3xEK4pyIOS/XudVR6VWDp49ilzcJLbw45E2aNCF6dxTS/VzlOIOWeRrHRQVtX7VVooryk6Ux/4aEbrZwbYf3koOGUb4OqUdARifDN1z3Iorzz+vSciabjHgHWusmyWhweLhaHFRhvIjT8o7suGowQ02gFi4Hayubl3WlOIj3wgZT7a39nEx5Ot0/JzucphZ3I9pyaUJZkS4KrZldi/dihgZ+6Z6Z+nta0C/XaOeJ5H+6fqMxeY0nf1vp+YRlHmdM8qXHIi9mnuIF4995810/DzCatHiCsUpzzsPhs6/GCM3NK1Grzvo528/OszFaDJJzPrzuYtUyyzTR9XYFxsvyNbuhNoDtoQi2oDmzd9xsP1WLl6lIMNNjy/Afd9aydNMTV+d9jaWFpqAF7WI35yUF7Hr54YywXeGXwjfJbOAXhq5lLtx23BU9rjDfiZzQZyV+KPrZgC3r174sK3aytx2tC7pva/h9TJtQG9Bb63NlodgbsI+lyoOfcsNSqz4TcfGzfWMijACMIxw3G5EeH5RPMrd/hRAQepYlj72K9qPU+YAV4Npqe//wHY8STTxQMtW+BRVSYfthXyCbreIYifOcIflats03fwf/71MH0OpP63nvmcUSYd4NrwTH9cGSZvjdYhYOzQROR0jkEzgn0oC1lnxCWj3SgLUnJ3JqbXXm1ZK0aIAKfO0nx5o0i+EzPnwvXR61yURXjL9T+XiRnnkzqQaT60cYJl5CHByC7t+UT7ZNe4zIN3P1bc9KLpuhbxJ7DyExMqwJOZl8TLvOffJUsOzNkvhjunSF8Zml9nKdeck41H6gtHMgT+eOcDmsCnweb2GGJO3wCfAe4A9PCvdw4UJiF2GWg+WeA4DQBLgTs1JgcBzfDZta9hRStnZzU9xEWOu5zNr/dy8yF7MFvfcrYcWThz4JAcD39cBTxECu+CYYXzaDHzVzbAqStny4WxxCdFeD/95Gf8efBxcET0Z83EnwfVnWD6n3ey/97TbbhL/aqhu3mwP3cy7L9U31zPHEfUVhPu1bMZ5y0VtncEjG0mvjHL83luaj7h7/VwV2ZSNhgAxNxTHe0LNthuLZY3wINVDAtiNocY/s/MY3jVckZZoU7Av9b284+5Zw1ZD3yLE5SGHWfo38PYVO2gi5n3WzKdwnfdGJ8Z8LNzO/1dTeeJ3PEOwA970HXr/3jYLJ3Gkmz3BI30OnPImkHmFTLztGXQRkQSp/MxWzBm65ZPM2ht48NsVwXInFsK4D9X0GH9yZKa2EBC4q7InZVCzBdiWIEfmz5bWMsJNH7oVUp4r7kwbsnVdxMrnf30rfWniiUT+DDsNgL9ud8y23+Kguy4rZ95ZO/SUKWZhYZztN7p1H1V73/u8J0WRem1HZEjJplTU58NHCVnzCot+1UD7puZxmUBGG//u5ZABc9U+dTcGVtdWAEuNBR9Gt3U5Hs7ZdmGxfKh4GlqC/sZBVwW+t4I756K2870dcWW2jV29oDPZGCzM7bnV04gbvu/XqsT28yTMrUvNei9s2AW8PhIoMYxdd480lJESQcabFc6c0LjpMJWt6gi8dLi4pxD4CYWecPDbU17M1+OfJIxtNW49CxIXnc3A+gCAfz4C/ACMFynR7fcpRy0HpOdRD7E6fnAArCtsbwT0wMwIGGLlOEKRMbdAd7Tqal/MvUI3Fqq0tYHFj5cvAGjDufqzB4vrXdVEXfARz/MXMA2VPcz7Id431/xxF05dDYBLdCYOQyaTCQmptfLFXTvrt6QSyf+lrnlA2JNQZzB5DV9yDg5KNODD7gZxJ5BRPart9jPvWf5XMoc1D/owIpbYBu2f2gjLCEeJNW4RjhUHDiO33LVNeHa4S0J2E8cXIIUvC3bkk2K9YJdKdN+eNYD6JqQHIjp32b95vcC31Q25dnjXHSah/MVA3dm21+PhdmOUu22KHVBK06llQjKlqCOlpRp8oELkvMocc3ZbFrAd0Uky1j3zmmS05CYc/yrDJKt1v7Lv1i1yZHF6bMBXiF7sqvHcqOs3KmQG65Q0dEOpfvTQ4hAfHUajt0yv+2qyPuuRh2U9Kd/ckpH4DV8XvJRTzXbbXmEnymsi9Tot/Y2Z8mqtiQCzvlNg79OZtn9cfu3qpFnp20wuUM6j3kFEXcrbQzxKDlkIwqI6b8dctPvL5f84EiRaAraownUN45J1RTmbsoG/mX95nCWw+MhAnQT434g4x7lHDQy6CfmDleBtMVdXP7gGyM+8B9M4mbHwyVuxsvacH2XBXoAThveKikghtD/7MaxnQYhBzsHD38ur1yRKw81qiP15NYMHDO55RFfgQOdONjbGakBdMPEhZm5mOxwBITP8eK86D4g7h4Ao3aqUBtotazVHWg1/lmjfxb4/iO3Foj/ugPt9PKvSTk4o2L2lasMdwtAY9gZR6eUo3Nqd4HBK671B2i0rRxsC7AWbHmZQH8gZc1Dxhsnhf0mwO+5hW/UQhEpiM1iXWJrBYz6nYlsaioxE+vKQuCiHJ5z644S4q+YOs1sSapo/jxH3UeFEo9YN7c1tZYInsUmdqWB2/f+WmnSZW7yk+9BQ88SE1lz+m+XTinwoHJ94ZeCeFMOnTQ1s2mMzy33P9JRW03U5dmgT3wiwsyiIw6xcq2EyZEnQop8ImVGFZF0sFNHfyha3rH2wZ7wgwd64D05nwP+CXz8pSv9iknUFDpJ+0RLoHS17kpg3LtmHLY2mo9g06A5u7kWujB9K3KBPpqCb7WjKd80JwzlDWj/KsTvJPR0zsxsD1k2Y3qtxtlo2d+eusDxH2pMEj4ktI50BHwD/EW9S4HdygYW53QStMsZ96Yv6+ABx2BtuI7nmJi+TPoEzItGqwcc6lQjZtXOAhpYh6X2ezx4ixS/ucS9nBJgoMm9YfaRWej/q5dkdznxB9dolRH+BN7jsSnd1dGaSAE62uH90erG0tIZB2V8sgcHFP+JxsCjo/QJ2DCb2nIBPOFXO2h4PoTf28DU2h8eWNiTmeVVDfYBMDIA3Qg/YwepsKzcSkKI5e+yODyPNrkCP3CavgSO6dHcRT4ZUc+s7pya3G6bnE2ukXr/zRXZ5PttPbqHOx30VILWq52koMBnalt9t2G6ZRuRJcT5kssA9N2tZmginPA6nmceX3Yn28c/vY2d/dRE6JJGIObsea3zvTxaFysN8e9ZSsNAH1LQh0hGlclFNP4fEvj8X8/M/amcy5OhDqU/c+b3lPXAyQbvHfjvojacZMXsVNaftY39T8y4lzN0P4PuPbO9l7uNV//f+eHIJ0yygeds7HzuLIvqkT5u+FIhlZfCvnFh4rbOQf+YuxrAzA4pc+/Hlm+M9BdGwHFAn6eWdqWNBlN/xgdp+i6Zequ8tH/nf71zxMu2SLrKQZvkPsQK5ULsm4mzD6n+9+CMH0xfVVaoToYSEdaF4GNzNnVnZu5OIzsC3xdylG91xOG5MTJ3mULwLzrsmRjlq47jUdkapC4/tRrd0jjheFxhXb2xGbszt1F8suxTs/FPPvBLyfZfeaFJ+7kM+eQz6uxt03u8EslcRaB5i782h/eiIycpaCzgdTNw1P/h122XB8lI+tADjKVnwDvODo7g4fMcAZ65l2fL+JWK1ZyJMjXYiwi9UrHuDTN7/ekj7Zg5S13EgvKZj/92EvTiaZNdFfjx0WXmPOWVH3Voh9BjEfwZFCsV5GdemAjNXEr9eUYdUdM8SoODI5lkJLscIZSxw2rm9zCI9crK7m0AfDBc3875zaEDvpy2RJ95931y/9pmjuvv+SHEEfy+5K2pQ9yYy6wB9OVeY4oCHu6TsudJPa73XKO45MMzD3mCBbkLPS/SzO7QHSsH74YZQsCJT9j2P0B3vJHJ3BuBxnb162w5b4GlwJqb5/rODTaEnTY2QgdiZrC52WBmOi5TEycJRc3uXLAdoRo0F3yJNnXUvMh56eEwgYhVXuWgMtl3STkeTD0QyvirTurmpe/A+YZ/G4kaGzToHTj7obRCE996HpOjyJdbI5Z7i4YV4v4jjdYHtzk5us0d+BNS3KdtBLYEvl7bkjWwB9UISDuopATsrYA3v2or2MTBOVeK3e6jjRAFDSnSobRJvpSlo8Amsh1ggU3D7ou6yVSHa9GEM8vHJaSx9ojGXWrxgNoEntHjJ6vb1aDnTc6viv7rc/ziNplQd9AXH6CVzayB+Wj7d9CgXW5fnnmvEEfMbcf9jQ6KHG1VUFdP0m2so7Uvwb+OTZTBusqOOqAnx71MC7AjNkc/sX/6dz8X/usO8b0xM2tG+wHxsILnnDiV8U+vYKOwdAqxHtjTuOqTq20eLcfMIVk92v/1Z45S2B/9YXrm0ECNjZAfdU9M//ukdMtrHs9frD/8zoWR3PQ06m7y888dPAV01Xpl9mAdt26SznxRm/pq6V/X9DknoxdQa/7AInzUbKYQ/zc24bM5SzN3la0gEEybZ6lVVxf+A3x8SSdSvWzezDkiCEJaAbY3/Tc35HVficM/D9M/BmIfESE+swLbTbTc6ghfqwi/1RMGLpBUNcTFJpTyuMkYs2HNB/j7yQ9B1W056M/ffDZxuQMfPdYuutIQdC7CVzISc8Z3UkFjm/jVOHPMkHqcLLIIiqyTk+4UaMh8S6wa9FXa+zlo3zSf9AH8ehR98i4dhfMwISL++8pN1cqxTa0DlzbpGOglOniwFgvwOnstwQ9PNth5oc6cJyIf7AvTaAOdcZHjHNW9pFQk4PMEeMbFhjjtV5t/UxHYSCjPwNHMzPGXHa6gXa8y5N9063A9JUaHbz+9ugS6gertKra3ycCvDScVdcN7CXy62YYns30vD+0z6IYT6GpEzYxD4Isk9s8Ql89NCHFjmGkaqRe3YTK0Ya+QW/X8TY72ICd2Td3uVE+gvKbkCAjRiXEt0w3wrG9AXx88USQfZ2ZTHKnlHByewPMe6aDXatOpyVnB0ywkOoDv8Yjo39k6a6lB+4uHBzg28I0sdcCFmd0K/MbkWqYcfCh32SN1kkgi0+kGhZzPBXyf6UGyq0P1ljuryB19zAc+KNB2Jr8lRTI+PW9POqFXT92dzJejmNAbhpiXfu69lupbi3x4PjNDDHRKwM3Z6nYOuh5w+YsAKxR9t6TDEsoJYjrsPOxTDv8fCwSadlMOLYCz2+hE9OCSqXvNaxurkF/wcw+awHYYVWCTywx66wgM6ibEDIKOFxX4U87UpxLzTEdTD4gR+DUiA0IsUqge/9zVyLbqfXEYIp+pDWIguuyyCTTS9qqHvXl5EO5S2p0VT+4V9S0M+AecazgDZ5KoK9INaRwBl3C6uOqRkNQX50DfTJ8ttQF3c9FbZWr6TK900C8kGiwaQzxFHJZGjUfnz69tNMABS6t5qJhMsE8l7xMz78HcR6dtaAMmJEnusF1Nk0ExXkjxAM5tu6lOXaL1IzdnwsHgSt49zXzSVtiCOR0BLvmZu34Ke0lefCMP8Qz664tRTVnQoXxSdxn70uSRyU0T4qiLGPVnJuYPGs2xtC/XsuiuxEJg42poe0CwEVP+uVyZSGSNLjsRLkMbhGvF0ZwJ8roLQIyDTwX8xoGDibArmK0FrNXAAFWopaMczXfOfZkG8oGHJFbOZUcZPlGI5bmVWilweOlgZnrtgn4/SeY5gMVpRaUnBjIfLe+lU8C3u6/SJZds+C/HlnBTk5fk0gX81CSorBU1NqHEmr+y3ic8kJZgamI2s0UEfEpgTrX2aptgk+tV0oPDpuRWut29cvTB4MX/vsui488M5S/Z6xF0850DdsmJBJT6iA7ZyovmkVPCU8QtiHlBCr7HrNJrxvkzHfYRHuQzc31JptBqXDMjWdqKag9HWNKCFNhJXpjiEuRnjWUPHOJAbXqZx5hgre5HVxUkHFZp5p316q1lQNZ0s9bj7LUCME9kwBfmFOzhDpzb5JnZYkoS05OoQfOMe9OvrPsCTfKKvR8i31vmDvPkJpy9L8PJylwmlv96EfRaSoN/I7uC/jy1fVedmWXODR5CK01sKVKqLpXJ3xf7kyqSOR3ZHXhAkQ7ZnU2651Pyml3VU9tfy1HfQMN/cbF8MzcBe1R3GgAmU9BZwCVUEVrthIs0llfwoR1Eqgo4m6ve91pG6FZSv2fw+Xa0DW72Ityz/+Zbrg9zHvz6rtS62djU6LuKMUsVGfuzHi1pn6PBk9bsEtAqAiW4irljtALwJjcdbfu08S+Z/7kymsRCyLDipjZvfjuDTiF9UvFhuadsf6AsfeWlSBrji4q6rS3YNWfY5HVtoDudqtfv5ebb1ZaM9cTvpbO8yULiqv93rz4XG2uCQPtw0DIcQzwDWxwIYBoXlw1iNAaMnVukSB03rxzOrtH8YGodRQhGMmaPc6Rv2ai/a+YNJj+e9cBl2TyoEVBl0kfQaaa2mv3MGi98bvI+GwufwG0Z6Ju0DvwrcISlBTyhej6Brb2+K6nY/A0vbAlh5hPvx2rrXAoa4RwBHvSgy99vrvzJI/zh7BBb/Q/63L8Rbeai/3VLzangOGfmrDGWvIXoL4GfUxu+D7gSFq+67Jupe9lhy5taRB446DwB+grWL+ZBsoF/5Eer2XJO3jlDM54yux69XROFd7VpS8XAu9wSeNM/tw3+2Sd3LkEbZMBBcjzqHA/7D+Cpr7hxEDFgxLBsgklCxLADfpuCxn7ywX7yCV3kz50gKesQZBYHJgvPyScSA2avmOPnWcgdC0NPAl6Axugr19zreqEws8t1+IB49H93iMi/Kkoq4FFhSgmtgszlTC4q+ue0ejY5RB1oRVAwgyXd7C5Dy2mQD+zt4lIxB4yiTAjPlhboC4ghwDtkBfEYOOCNuBJV4/riNoxG/MPk9pFxpXzYn9Nod6/RzLl5N4GeqmDPbDDzjZBLiwz0iLrUNo5z2+cs1CL7XHKIi8faAs0Tmt6Vzcqt5Yljw/W6kwz81znArQ21zFzJAJMmOe57ZeujyWOvCnSXz/2YUiQoC5//O+cz9YCnjJv5CxpidmJGIozZmF5J1N1lEV5rfniQ4C9gwv5QMlKk/S9n+2bCO6abmT8Pqz/yI/guzgeJQV9JFe5PVa8+GwoExJamB/Iuj/FT0Mahozw1CJ6d4jXVPnwmgZiMz6VYOY/wrEZyV8Cv6fv+hV9BOagrc+ZOxIOTTgn4brepeNZ4wJ9sTHqTP5hy5TbxHDF22zgiX2LsLrU7a4mUYFtiNyHuawr+K+wP1sO68JmAL9mAM8Y2X/ewdsXxcmbSKUfLA58MSooejYO+MAuvNJ7x0VH3qsCB6bNMHPDNccY43+MSNBFw9fLokhlw+wYL/Wh6bHoV9IabcXgOFSmIjTz/5aLInxnoMVHwTY3dXTD7gzvgIGMSUyRB08F7DmjLLOnTAvsp0xUPQRtzQFJm7nCSRz4kshoRULfEUUJeUpNbYHe9LNiKLfXKnz/LAni6K0Up5rIBrOFhMlGKdKaTlYWJ1ziAFYYLWwugM7brTV+p6JaWJkVbJEk1/Jc/les5gp+XgOPdcUut0hlsEvjucUteZ0Qp3fyPbFxucvTguZCdb+qzErP1M4PcJR3wQruZQpu7oLMLfsOx6QPKHrBvn1Kjr6zQaw3kuO39K7OWi6A//NfUyaJsuD2Ytb7OiKYUuJFylopEe/ARLPjma/DPElQlAz+B2IhAa3WPKlwmsNEhH9Q7y5dQjBxh0w93AP74vvjA+xcFfAriRMS5svDWPbGD7ulIXneIsD3quwS7ge8EXZSkBOw1LfidjUTIcbgKNidNgS6ZfVgp8CvgvD4dwpWKPXBGsJtoudfij00KBb9j+TKzfQB7HrAH79mwuEroj9847xLBmBwh2JlZlzK3cEii+VlvJKUWoZTrXSk8VIEyyt0kSHkSKYcQMkmIkbpre6nTvgvaKAHe5h8b8cfNWWY4KofPiMp69T24WaDzd424rYBJHuhE1mywdlqWZLD9NlwebFhMD1zgYPIOz3OCddZq6z6qTV3Br9JzeFlBUz2kMP1xuNGhCQ3IlBfK4RbwBuDkLx6VjfauAR+l2797U8jR1F6ZHFcG3yMi/RCj6azOL8raufUgK9CX7k+NiVhwZXquu7Ig0c05ObIiNN1SVzPT3yZ18bcaJeHT8OIAN8zlCnsYmfO3GhHJUfJ9DpSuNfnO44vhAB95dNlyd36k4NHmzpFF5Z2g0MwkDUGD32tH44zKj+y5SD56Rtes5ZTdwXa+Tpt64fIX3nhuakpxkFlpkF4p5w5wQpSO1lVEe9Tmi9ug9M5iwmp2MXWgO1ifm6llSEHXNeb8ZMNxJtAqwtSmNrqau5+WD556B9sIyfTC5WbqDrA3BUE4B7t5U0H6PDpgF45kpjcVCT3Mg7/3tuegZYDbAP4xq7mndulVW2g3ECyI2WNxuJOCS8AIP7eBVpozroBcj9u/33zRFFy90WTKKPDBgDnMJaP4vN3BNr/wiCHGJgPh6FBaGdjC3pxX7WouPSK8RzuY+xM1QlzZZEhieD8POOl7Rc1MWrtqRWqbGs3/vZeDhV5AB5g7Q6+cFAb/qUiRrE2oP80ssMb0zxXdNxWrS7XqgGdoM3skj5YHB52XxokQPT6ywY6y7S/oV+kItneyYdXg/5fcub203g3Y8VIL0ChicOrCP/F4zoDX63r8ZxEr8csJmbyzWQrQKbx8VMIOmTD1I/yWjv+2XHSkCvfmrJyZvgg/neFo8n6EuEjQsJ4D/Or3lZs6PtAEoNcHG3yoP7pypY7J++vg/dG13oBTxqSow+yqNiT4qFdlZt5C7De9vtNYPc8xMJQgddvhj9Xmf56gQ1bq4qidus20b33p5ZOrCxonU0vZRif1afrp13365Ha5nqm+8UhqyTSux93WclwK+s8Dn+xSrXd5hF3Wd3EtuvJo6amdGkeaCTpOV5YTKYlIQll0L/9aSt5VxFZdKYiDrdWDZ9wgrrsV2yM8rGZ+OM8c+w0YpumDPTHG42xUn7XpZzYud+D6DGwYbGVvw+/+qAp+amO21rEumpEk3O5eeSlRM8LPin2H84WabHbQAlMj1IrFimi4n3OhgipI7iqaL2Av2swOgvgXN8P6aeotSlPPayUejZJcvC+8cf0COGORjqDlIxTJvvztP19atkx1aZ/DWTbOweFCX0AbiWpCtEH6mfHwkVokacJuyB3bnGcHvPh7VaNd5vn+RqLmygZ5ki4iuSZfEP8YYMAn4XyhblIBB3rNot3J3vdrRwG24688IoG5309/zn0h/jtqq53QVdH+U8YQqyZpHZ3VoUOyKgTa38yxjpJbiqTN7cTk+XXwTDdsZnaauTWmTybEsNd+1SY3zdF+TruwjeVBRNajcUFDFsm1MflNsN5c2CcS4K4p9Gc5/HlWn/uPcjO18pKmsB6gHz6ldfE4rItAqMs39jD9SXGPaR7/9mkXJZOPJvh7LfVs7mhZHXRJHZLP8nN/lq4uW8Zp5qwpEWuqbP+cWfOcaf15Djj8oyPQBjJFWlT2vDQcI9PTCVjXXfGD6e9UcevxqmsrFTc53UmBP/94JEhIymxEHNAdE+C7i5+5+3NXM0L8yKsBmVy5XR78tTL4mIxM7dFcZDboQqbeJCM++DJnA1lpZPcmZ5lZt5c2By1PqmpQcT7aFmEESzf5AvzdAfe7ctFNgOcXOuyfvAhX+NeWw+BU+R87nTD4wsVhGydNr/VPPnLsi7In3ye72ZizcwVbQccuL70sSIHdNPScsj+AzuI4K1RYA88kDnCHgT/zDfbd9HWJ0QAaKS2BJwIvpP/tqbJpNINYWqNceJE0fchEh+R/mugB3JOp5/LSDk/gJ1iGM1K2zIiz0kp0gjNCCeBRxoHzFf4iLc8HW99x4X2R3j/kgGcZ8ETgJpxY8wraY0nNTMRCY2IoKWhYWKs8L8iROY9XTjsBlkZyi6fwHhBSwRcRHzNXXQnXuh0Gi0Q7C2LqVg37ryr0rhDr5gbembi4Z8zzuTVfWN9YYkgKKkIHIzMn0V4yB83EkgT8Br98GfY2qkGx1hYsYHTbMS2PTQifY/x+3ICHAgDTPlzrqDvlHHnV+O+qLPSdUd0T5iXV1NwhtrxVE/iNllc2KuCm/graWQNG/OTjv85tlJin1FET6IM0tXXHqI/Ab84VaDVgmzfT1+wcLt9i6J5mXruAOGH6+lcsOZl+m1yoE+iwFfiHlY6oxIO38l5eQaMuqrg4oHtfvaps5oR23XdOHS7vjC2h6SVTufjKXRzmlIck3J/zoOOZhd6O8O6Z+9eqbeXXkemvNW9U66ThhDaCZzLMnpn2Tb/mN+Ai7xxJXAOjfZ33YkFKEXkLGX5mk16VsL+lkAf2uSetVl4j5g+puyRz/TvN94ViK8/1sGPIdyqGdGN6x9CfuVg2CXlZUX5Ox8POzFKT4RqmReO84mFLSUmD0AXbn9v8di035IDmTlrObxKVnvzc787I17VQLvjmf/NiI+Kmmw/r4ffy/c922v5taa8G1TPQVex6LsC/gu6tCg7AP5vfvt8qVBk1NUiw3udAf7URxBxLPlOkdmm+/2/uGUIa/GfKrc7MXi+yTY6yz3YNl6c20qA9mMt0J0k4WzyyD02kuqwgZTMgG7Tc+dfmAcd5BDFhy5zT8+Y0+R/rLEJPDhdbDR7IS8DiQJ6l4Q9M+z/96DY15TY3cxGLc0wwCckFnrNX4T8zd/P8M1fm88+uhaiLt1f/+Zt7crMd3v7eT1Z6L7kf5qEEe/EY7EWIw+QuHVW04mI1g8fzCAkzL5FMJh+iK9q4Ox1t/8Hi5BOYeUQc/ZEj301BpwKvOOGJX5v/6wMDeL7vREEAaxXotYPXAibRYZ6aAfaSd0kqkqfgfJNbN2c8ueQD8Hx9ueMCm76+DFM0p4CrjOM34uo7joBH69CBn7jREXS9/p0X0AmxPHlf2nJL3sx5Qe08riUlwdGdfWbug8wMSu37wDkiZe2LUmgEmu8OGFIC/w6Aq31QV14ISnDJ+CmNU6cCvoqd7pzaxEqdyytGCfzcT2dBBtkz6/i8PeG5lnL8s6sn/4KdxmnFMrdjs8rAfzM1JCJIuOlJDnb2UxPZhCtrfjh48gHPBHs3WDxciirkwL32/BzhV4406JjQAvxMAZe949Z5tJjh89n9TCU/bcwr6XDnwFE4B90eNw8heMEF2WXD4ao4ElkxnzKIwTnDh5b7xt/idCJJJVJXAv8HXfObY8asx67ayFtpab/SP7XpQe3gEPRcSILhLk0vsUHvGGgeM3s4E38geugHxPAx69GsbH5rI7SqGA8lD6/EAs4nFqcZdFVby05q8jpLyVp4XmnWf4LltqQrhjWWbPByC2LQoOOSrV8QnykHjcZGrzdzC7l9AbwzeU34kG+dRUGvNczc0cujGGWamnm4OinP+T4DbPw90zvZ2ZNE/NgMSQVc1c4K5Aph8mdtlos9YLO15gJ9CaYrHMl7WeBc/dx/o7fckdeTxa7VsIQ1xx9tCNpLSw6cfyGjt4IGFsBFXrHXAzwAjrts0vTqG/Alo6AGe/8CnLCDGEcBS3S9hZYqUlfw5mnmV2aDDLA1f2K3vJpaNQwYnbJ1B2vwLF0zLxbQczK1CN7jzOyXTinSjYC/aLtyDuvRVl6qeUGmbmyRfzpzGQK/402kPyv3An4Gv5tiAfEenltez9xnoCgfzAWB4IDfDXszu4bmNqAfSuJqRO+N++K9i84j79DGB2O7KwkbB497nboD+FhHcht/YP7PTlFpZnyGxOlQTdmzFZ4tUFfi8J+nXBIxtidpzIFbroGKuP0Tpxx8NL231XP/quU8ARcucsc7yZB5xkqBm9qCqWsV7p4CbIFN+pC6mS1BR1dbB/uVBPi5vJfFX4uyP650JWB1Z+VCHoFjmjqTqnHQEeRynLr8ijV/1XEQk8dsZpZShllbmIlLq5v3B0taYPdWurWifEitmLTYVlkJAx27GbvLh6QDO+gal9xMPWEz4c/MbR55eLmXwszC8txWzJXMlxdWfmWDOmaWvaWI9OXQ7UBjVITjoQ3XO3Zmnjsr5/DNpR62OoCYYndRa363qz5opJN68N7K52KXttrRAN9AQa2VKz9IIZ/4HTBr3B9+7TAqt8oZTK/4HiPFCUIpC1DaRtLnFIP2Lr3G+vest+RC3HlVVvkEfr2TIe+yKQkaiN3Zc7mCfjD9K0U+AIbB/grmHUmhL8DjXrZBQSP6xPSG4PoDbP4tc/SUDxwDVlW1jQPMdisHnwWVykD7gCK5bKbXSK5N/QG/mb4FpdWtkie7aoSgRQnoFvKhIsxP1ipBq/zy3szan2sX9UyrqeFzkAl9BT465HYXHq0lLXlyK4fDTsa6kpa9NhOnCnWPnCJZx2oEPJNtzEGbrTOe1EAHuSOFydVXP/VhOce/fXua4eBV/HAnll00aKYtk9+5ragKfuqtvyBGUG4lwAlmlE+6MBwCYl9V8sFKbbmriiRPx+6ZCg66TQV5iN8hllknZ7erYE9J1L2+66MJUJxy9mwEuQHPBT7HA3gnWrnoSR17qU0OAZWi4Qj0DwlSjd/aKHXOBbmATonTretkuO/TmDicLWkTN5aysZk5lwDu7jhvXnMr7kor5/y+54a3mZzaM+Mr/PnIIKYSjpCK1rEJeIWBy8uxvNbvN1A9PqpoZurDXDo+tprhO8SYD9Oj3PTyr0fSQ6yZxPsN4lH60pUS9N+jEsz0lbmzkKMUfleFeGpqC0AjDnhEIYnJ0yQEZv3fXS5s8KT9ozV3jO/7ATDjnqJmV4F9tj/9vv5dT8+9z97/WIDlnfw/fnjPbBW0bM/ScbEUxHcz27sV4VZHGrVU/uT1nAXEsV5+m3rPFvRrtUnQSsrOY5KTcI3AJ6/Y1Ws7zEchSKAK3zLnIYolK+zjS+v1arpYJXjimepBTumTBjJqY9On0gcWDaDep64K0h1w4K/SUqd0UuMZyUCyPw8aqXfszt45MPdh6qkmCXy7u1Z9456LbqfsYSut9ZUfdSrFzOX2zy23xJMhQkTs10rr99zkxA4rp4XqQCvtpMAQx/GQRshrInJh0V5ko5Lc4u8pxUUThMDPcSZiHJt+P9xaQBOwB2Xe6yxlrC0M+Gp6NKITndAlBfUGvPMOVNrKKMfV55LA9/as56wZbMAvvas3/pEC96v5fGp484DfAXz3j8c2RIBfXurR+19PQiky9/9ye0DbvZnZsswmHsT7QLlKgm3m2MZbixQDydeVti5IATjm4pLHM6HIT6i1t8FfTf67D1qTNlYSpcwChJn9dJgFjbzQnKuZ2sFXPkBq+25jy5huqVsOuminmUDcyMEHqxp0VW6bOVPAV/XFrgT+JvbhKWO/Szf83TJyw5sS8P0I9udb2Rdz7/Mt+78eUFQp9Qxahv/W3kqd5CyWb8oOPdO7tAXOBfFBCmp6HBHJ7c7JXXVSEcScfDm1wtSfJB341DuPkjsfZg2fFamwzRyfI6xDicW6lM4OnqkD7GAvLnqVAb/TwfsUYJEYOM9//cl9CzTX7rhp4Evpw+ThVYV/aJDu83DZjo7+PiMcUKaPEGtLHJt+sqYnB/dVuMZY2J/YxMkB+Jb4xeWAWfN7PqGSOTePU5LlEOePlizSCL8Tt9uAS1sSmd5vnQRsd0xODoTd2NQqgb60j5tBczSmAjBpw1umdWF6ofMgSYilwM9/71NiM/uU0eSIo+XJ+MHM+0NUZ3cx7sc2JBPmiaVi/51Zpj+RhNXvEm5h0MfAR3TmCeC/WaFFY+ustrwbRczhZkC92N3Lzf+Uk/+6/zJ9mFI18O+caht+EW3F+gkc6QNwPfmv5wjwkcgj6Wg9UxukikvOTKxuGipJxmXh4+w1fflUMYGfbRwzO0VAlDazSeGd3gnr/u+uLco8Yy9p/9cCrJTAsVPGiFUFKMJFt9SgR2v67wlc2jZ1gdyeOzxog8kXFe0X0xuEDMCZxps5k+sZ7ww+gGojVhs0T4HIK3/jiEF35Z/LpJ5Leo4lpb2+wX+P9c+dvckv93McLoupQc9HvVOWWkqIj5wedtTiwA3JFeLMF9hoWQ8Yg09YkiVTM660HPdX0DPDb+xlMgS+Y515Z/IdMojrPnwmqoAbS1e9M9HNoA17PqArZ/qcMbXCf00fut2Zop7DnrS9qlozUzbGWm4HV8RIH12IA04Db81/7zjAH+za1MJoVdTMi9ow287U/z453l1a5NpEyRH0hA8+ukvt5MoGMlWchxQ0W8rVjTA0A8+7mJ8nPdfMzGGFtTX1Y6ndedxG/zebO9zZVYFFxW6P2lGzmPQxN+foAU+Uqfxx+OnMZtDMoBML/5sKPWOEriVoqZz7Ek+ZxwLupwE+VeF8rz//PDDwfzYo01/XUs5vj6AuE8tBhoAlGx6IllNpaq4HLkBrzHnsE+CfeTbYX4xp0kTYb577d4kua8o5E2MX097MX/m5S4zyLfkCtrOcqSoBQzd4LA80xqsXnMWEjiqOBS3wUjOCyeZPdEjOEt43sxYikcGM7C7HzEsHT7bvNw/sFDiGjmnUTbC/QW3mYscQQ631UA7SNz1D06BDfEiOgMWvOo7DOSJnCd+XU7JUfL6Z+sUW3olSPUNMMhz2DjFrPllmjhZ5cNMzaOhKZXWmfu8BtoXp9PcKOPl5Zvsd1Zyc6fAE34DdAw3t3F53UuYcPhXCZm3sI6DhAo9rBPixMfHPqyZ/B3rkq2bzFw7kZxvZuh0QaBpSEkfPZMNpE+CFTJf7CRgE1YS30+V6BM55DrJn48qNbb+5WNd88ivpyI0PcmVFcqMxOVCrE0dnvlFzpmJ6V/Hyjt3uCes28Of+ggueEgQ8hCvQtfM57ZELfMfNY+mw0P7IpsYqN5Pf7H2n4++c4ory5AzxKD1teoXP8kzgQYULqgb0UY0KpebMNvR6WNe+HdYvwDevZYe7mIA/OZ4WU2PD75Um77ka/t3zcb00jl2ywEy2TNzSffW3uYGm1e9HS5tcrBuzMlcEKPyZNRDjtOwTMyMO4ptNUhcfwO+idJBX0CpZNpiZw4/n0eZVHXQ7o/tO2+DWI39AjLVKlx8yKzkAf/t9r1SjN9n7xxoUANjg//K+UCiBL/zwplgBlPtfqsjsM5MQMhItR7aJ+GcGTXd0Bqed/EF+7v3a6i6pQ1wxLmv9vj9mwpurnrz2a85sZAEve2ZCRo1YM0y7r2ob7lRjfC54ADoTYl+4VW53T6PkWZpz9yKJMjt7HG35mW8gmp31UjnzOw+JzSbwvVCdjlYXgc1YoDtffP4d/PrYDF4FHNlWE2Cc5gJsl9OJf+XOXBEBrNfyprrQcbUlXVuYPgDMNncSmasm6mS2GMipGclBon8Op35ZiSTMC0QbPX+C7b00bCLyJWsFe/JRn2qHyNxRlOUL2JFflhq5oNkCytMnRr59ci8rFaZPovcF8Q5YBneoGGzQlaMocEl5Z3IXv0qbkzzo7kSsfVbgV6+qJ+w92IPOxCRtavJKNL6ln/s35XRvJ2f5FpHUQmCbW2uhNvYA3wZElOE5xB/gT98mblNELm2AtQjX4uQkb6BRTU7+IEETyIj3v2ewDIUqsu5yUsCbvG88rDvG/j3osLfB5uH5d6bb91OI8Mmn0GPuYYVve9YatGS+mBzl4GSRN9ML1Mx8NL15+UAGOt4eygH73V5zHpfstKXeyU638hN0AeDXOc6uFU9KwLATKVBKnP0K9gHxmr/BOj8lk1+NuNhNaO2wblaOdN5SfMk0xD/HW6WLIhXyx8nUh9nyUG/hyw6/uIssHvOvcvLj2sy7FdptnPktD/AHMMKfPux1aFt1DJ8rTE/0P49ztO/yqAP+g0AZklBu/gcX/F4OodPYqgBdupNa08rGZo7eq49ZUVl7j0NgMX0wM8s+MmeAPUHy6FhP2ie8Gro5G5J3MqAb18CPITZD3Ln/5PTwTsNvuhg9UcE6KtuH75Ck1EkvtLzVEFm5JV/3RKB7y5WFZKyZHSgGvCMKH8SdJRUNaCrmwr5c5ejZ6Sg/FZKOyWGoQnUAu7NlUa7c9XkNaj0DmYE3P6+L8lqFy+6ntyQnt2qaX3W+oJ8PwPHMrE49V5y8Ad6fxJSgn/7bw0oUKh+A80kTJueM84SipDojvjFdupiBzwjtZ9z3gQuR/Lnv1YZdbmvcFOqENf8wz/nS5mkxWCXEw+Nz/4235NCOHSpN3Q7bf5R2Ar/+4NLeFxlFtxy0+//y6Z3a5Ru2h2c2asA0vdbWcG2ng0XD/UcTY9mgbgE7jKTz28fMqaNw46wrzLggzIC/un+tBjRSJfZzxax7GugT8ICIDfyDIB2yyeRukSJlXt8UyWpyzLKxO2ZamXOHz5T/s2k87NSUrW0kB9Kj13lUBPGIgj+81QI/a9BtEGtnwuQ7B35nzjAJcLBc//QD3Z0DP5Yb6lPalakjB5PHDPtrAxelhAPv1sjwl1FS/MA9cOeJwx799lqcBcfvtdM9wI7eWbjSmvtmPvKFWPirMXnSzuqrLdvyvjtKm3+d+WBqfSRz9lcS6fc2+Hc/C/B5Kq1sxLTi0qoLPjeMV2cxn9igf+dWtEMC9to4eEiWqkAucRoHfHjO7SQRLJGSkVkWM4iU8MoidG7GZCgZ+oaYvbA4vZ620kkHfUj7fxYJuWCOhBCTmLgM6+6NwF9+8zeAAb7l+d5w3Dv8/J1Zq18N5doKEqVFYqse3zOL8xwlFLgc+A+PCGJelS9vhB9ML4U8tRjoX51nrj6yMbm3YWingW9qFkFr/nud9xI57DseogeYc08KHRHg7kxcLIPL5tC2et+P5QaqMjx4Ku4CESswSX08h/pDWkvEw+VUfd62ciS7Np4X4K83bJOooRI0HRpJwF/3Dv/VElrYg/fZsQGZWlFEHMtiLHXJ1hFqLTFnswY9f8KOujVMmpl/uQqYQyg/NIKcazRHldCpNJz+8+adLIwV/+diC2Lbrza/XSmwqtPGp2oIn5U77HCME9bjo+zDayZ0UsWdUOJgs41cTs8/O0m7B/ALx8yMB5x5YArrKZDNe3RILYi/cWdq5xblImywCVvy17/SUMKehaCP/a2FFW5Nn89xd88dDzTJ/qMetY8HM7dm71QDh08s/TmE2NenVx5frmLMQLkO7plifab/7HYCpRh3Xh6b/J1ydw53v3eIeVxeW4pobndDY+2Bo+mu3MB+dQp/l4Iu6Uoy2sE5ZlbpeKAbUdAG2fVc6LGeLnY7cGzifNUfbGJm/KJ5piE6quc+qcK1b0P12q8v0AxLI5CW//VZnwGHR9CZg+knWOr0edr8XlE11o4+SSuhago34F3nkpWmp3bFRTfg98WSI8+B22AWzRlwqhEUe4bBH0zPhtfZMnbY/RyED+rMqI2VyZU+iGjYWgFCxFkBY+dHFe7BN3WcAjcD/MNKzGcS6BjHPi41idoYbMj56VXECEXnn1k9dlKauRap9aqtWK6g+3eZrSs8/gMsmAvByR34tgfYNXBL37iJpxv/Jix9sPDi5m6SpdZ8lyAvQAelpp9ACbG3tGwz8wa+mQx58c/cIc4MnqcZ7FftEnDAYXd09IGPCDCaHxu2N3UAieDzivVft0H4nVA5NRtyue6ilunV9CKA5+orrmENuG/yMHGUdBkDkcK7RDqrVdGDjX/OTeeXTolBPy1NNH+lo+XKnpszTS9j5h48tPNiPuBJpdK62VmfyDxa7ya/RxXNDjDnu2HYwwKb/h1PzpbPciqflYMfCrSg0P/uJAJMiMnrjIg2NnlU5vwf+SNENhdv6ZZHYBsUA4bI8rQlwCmJnerhzoODhZEaQEd9kAC7+bB8Uth9OVzuuSAj6LOvdArtVvvpOezO9Kc/129epcml2rCF39r+350h5qR2uUtdrXNLP811bm5LWgn502fE1L5XkaqIg0rBLNhnfMVDt5WF/KrdGXBOediej6mWkShQz+lP7ccr91tKsc9roZIzTT7VT1+ZNZZxadeo8fKxfNBx2TVsTkDP3KsQn6mlJtCnQROu74CZrBzYjkW4PL/vQ2WtAXCvDbDyXo28BJs09wuve4chj7Kt2Q5mtqip9b/Cc8P/Q8CjS6uKVtCHw4M7KCZu92Cj3lSBrpz/e8qYXyTyHRaTC3CZjgj72Ah1y1mX5QU/qOGwZj068p68tHnHB+/SWMsEsWMWCBxEgB5+7g9nsYRZ73vcUXbuoIHyuUj1vFPhTEGXBm1MnuWg/svXRnJVKPmsQtMrzvSUTJ/0fR8pl0OM+v0ukhfEB1wk4De0GbTIgLdCjJgIRxJs+QP0yEqtWXNnvTWcCEmRqE2PLj1f2CBT7hqOBus5AccGZlrbJXA69qwgCldIbqDjXv6l+bBWJLQTZZk8YQV8aJnpaG2YS8ZhbWuqu3OE7IbiJ41xno5rdw65Iyb8VFxtlbMKhbpRRF5BAw2agyCB/j5Nf2wRzisf9i++sZr6EIb+QpzqdqyXeRNph7HdCjrvLOP50VBFzB1MPdqggIDTQ4yB758zZ+0xaEAW/HOPoD8l2C7oO0KE2oymYz35UlYim/C3brQjAJYl436qO8+g+5mtt+OG4xShj4wDtw74hbAkMPV5sK4T3TpGzT5RzmDdVzxxy9T7CcZX9bnfgU/GnJu7bx2k6LKdrN95UmPu8o7F3S3dtJkXkqdUj7mZKeDgUhV+WIcSNGrzzHsccq6iNgItri8rYPEC/vYoOb/99NBg2G2s9Y2aXv+uvuQO3rUIF2nw25eYimL2cbj3pdvsgNdvfMAeEI0tHRcvD29O5cDPiTXKqDxXLCEqsgsaypGg7AprfsqF9w3a3KVTB5iLz6SH5xMrIjGaG9Mbj8tXDsyXZOtnBr8PNLqpK36Y2QnEnv0q0hcc6QB0QiXEQqmFIz7wN+b+9aSDvknPjxCrLyzqdB6SghVdBrzYAk1948JefvCP6rd6eJ0fLh/MSSBGex1l5FQCoEjUMeCREmITP0ddJAbPBz5gekX452jtQa+9l+zgSq1SHnnvFdNF2SOTPweasPt/RF1dl6o40/1LfEiv4+VBCIgSm5APyB0QVyMEpJVW5Ne/lZ7H817MmjUzZ1RC1a69k8ouyH9+zVdsZunh2uZLDlznfxzgiZ35P09Wy3ZxOJ3o2FiZmcfIUXFixiMGP9LYh7Wdg1zob7P3RsT9ZexfONQQHCQJaNhF8rYjXeKlPPXM/lfK5EtpWYqBv/Hwnpl9i2FaRGQtuetvoN5I4/HIR0XSAF3IZRs3NgacTSisHWgk44UNudB7FWDXMTXzl2xl16zcMMiT3MywczK3ElMJmLTC+rz5xuFgy89TLFvs7AEzwyVznv/Nfs+3Tj14n6afpV4TK2XJBeJwLMcpO4vEYda8KFhRXDQecJU7cAwH+NGFdnunRvoT6pKdifBRFtP7LGDfxO23ckyf9dMruT7m8R44ovEdwsZHNjwPi4cZusL/ez2DZgce2B9X9MhpO2Qd/s+PbUT+//bKOGCKW/VT9ns+UJBTEyfvOKyay9Y2fsXH19zVyP/Md39uBkca+CtlXw9VTGbu+0VFHGqj3BBK/Iqj74xqSkfQfS6X8vXnWVrbTDlbcabSzJwSAn3duJuU8FLfuYybTkacySdlEGNstigqnTOboMoqj9p+Vtr+ggcN3I2w49ruUuC5J06K3G3ZWUwJaLF7M6SO8e1JLcAflrCGYwHv2pJuD/o3/OfNco7aU7rbfps7DLLD/939W6WnisTJ+Ze5q+pQmywHp3VPkb2TvHROyF9B84J+eN5yS91ECIHSoyvU4mMl5m8e4ScrdAXfyYCnvfe+vmvQHXzlm7MIPRpkdr3il+zbb8DRY1OEZi59z6PswZjaN5a6Nj3+BjxcqblvHrTH2vig2uQzE0sI33HLub40zgKca0LKkmXpvu87APaCVqUO4ClbbiVN+qpnwAO5mYc613oKeFd6paN+8nCbp4gcsHPfGK97Ze0firU3ItCBaNCSEVprsVlZmBzIina0aHtxmfcCkXdvjwvKJkyHbdiY2UYh+cTR3j5FwJk7np/yPw/Cfagn15VGdw9q/loK6RC27WuWtNyyNqB9I+Akh9xJJtCobY70ngbqQ9mTLoeNfR6e/87oSdR+C5oAr5C56rOFmj7Xoi0gxrN69MsaJaUQyQ3qYkFs/UqBdZU5aJ3Y7MNZq+H/2Hi6xMp4fz7Za77WYbsw1tJUoN3Rwe/+KB9wJgfevUkH49zlH7MVtJVNxqP7taGBH+bIZ5yWS96phDGb1c40yJC8ANcxYwziKfVIGAIP960Untj03wGXenBblXmhP6iW73vZHwS1E6wjxE27g7x61i4hROtZidZmLvmA3304CYzywb7yYV4qazmauq401EhBgsbRT8C/zdHRGuImhff6QYv+Cc+5NoChhve89zdklC18BQ0fy0va6TCj/olyMmKEzTn/PqWoB87Ozhq4T9TeVfR06gLZUkyPg7W9AI+XItp+K4SvtZ0Ueez7jat8qtmrcfiT0vbNo4DXeD+wHjJjsCRAh/maLCe2zbmZqUQRb2I/w6Fkmf565oX/SqEW0zj5PBcSn3UKekmbXvRVBb0lgLvAu/2mls5NfzCmEv48eu9V/s93c/tqxHb5vcMdGp9N0pZje8kL/Mw1QsysVTE5MtA/aYzuwPtS0CgT4P/vbAJehA+BmhdEwbdiNmFaxg3oHlign5KTN5/HFWs/AOP2mU4eajcfgasFPADqztgT/jlJu9IpR5QCH3oCt7lmvZ5Eb+5UPpfGmVEaEml6hyr+9wFcAnS+jqSLUL0i3BTJDwn+4eGtitO1HMl/93J58sBBS3Fv/PuWsrL9Qfb6Q2g05WaWBmUvzH1zt6AkEKelPe2rQANeoFIx0N6rP6o1u+HVn4Cb2Hht99JGb4wKWaFOZ829KsKAdPdnLrbw7oDgMu4Y/15VyJHaIcTCHytHbUs5yjOaAVfrV+LYv3MCaez34ncfLDmlA7KM9246tt+chc+zzt7PdTfaTgTqkILuwgW/U+RzY0LVWNNJMHktqfTVwPHhdd/kTIG+3QJ3CW9p2MbKxjscKgH5bnrDjCfhD6Ya3pGac9DAwOsG2v2/PwDr7TsOQos5U0VXsjO+ehCbKe//bCquBhKl7sFRwFa2xjkWtPq8Af72TDU+pcZHlz0t/Jq1yOdHHrKHspPvGniQ2auFdT9y+u8sgOQj9xlDKxk51I3mZvz44PdcjSdJzbaUAF6Wrhz/NwfLYEd27vCp7DknOplPAWCvBdiu9bUqQOe4yPj9OziW1qnQHXDud1/KWDm22Rc9SGF/V5f5P68g4S1lQQ61aF/A86ccdAgrSMj67YP08iMfIH8RL7DFE+mGLh6ShPHrC3TIKeuZSwv/gUc/5ajfgG5642FYjRB74ZfFdBJnnbrVti4rWt7qCLSorbjpO2MxaATNFo6mT9DyJEXSg29KcBSC/kmBD3mVihNzrztIe0/wQlvU9fuUTb9em+/non2bc57koFcudUFm0HURkIWCCX3jQjE6TolgoFEgrqui5aDPMI6ulhJTkFmWpWJz3xe0BW0dGTZenc8I9OWVuKBpOvnBiuTdE/h93m1/at0OEh5YBuinHk3fyxXWGrDaSnK5hgtFmtW2v9a7Pwt8b48D7mHdfhKKnaMznzIX6vQONIMoITYal8RXNxvJUJm5DfG/+XpZyjASzNNZoSwBfya1ns6J4Rk03B5iwD7l27uyNGgBvBzc0k3X3jpYXJ9MT4yZWeFgPw1tUNlJRws1qJCUKcUD8OFCwneXInn3VNjSTnbK2v7w2P8gzB4PrxnWf7JTC/QY070UScqiJQau/Uli/aKCfwK/MPOjEzxsRVXwjoXtzBzllhbZN5EnMz5dAXcutbm7YyfvmrJh1vYud9s9Z9bmVHw5J64tFkvg96G5DedB7ZJQk77rAfggy7xMTwUze4nAO8+DWiqbPbNenU58uuB1/6yZBbiB7f/mTDeQ3/6/Hk7g5B+y3xZNb+aze2GtfY8MX082Qg2y+J30e5PHaxq0oD2kmbFAIX5A2WlRG64R45tceS4G+6X6jcfQ/snW8AnYymQ/vbL1n9ZrGza9cpu3UAvb88CTJuDYzGCkkR0Bl16BB+zpWj5hLarcRXsZYRtqjsuGmUEAQ/2cpzNqiQgw6Ko55gH2m67cKPvvqoSZibz512dO4oQ0DoF6k77YsIQlAynVZ0bz9Kll7vEC99Ha4UJKak+W6IHDo8k/I30HbLmlL+MxhobU2i9pOGmZz/NZeDiPPJuALmcue/uzbU4BROzv/K7+cdZTmdo4p0XSQdW55uEMn2m8Fo0Gk4ds1ILYyZiafeROhbXpF77cNwoqgvEaPjhQG0b5wHa7EK7uaTR9Uxu/9xx6qD8J7mBxw+lGAcshR8180+s5Aq0TcdABaDg68igiksnOX1kkN8CpAgL5QFz92QwK6nfSAncFzaId4AhQh2C9nd+7Dl3D5duvEjBsvsJ/+6CAsmr9Mp6QH01/N31AUwnajVP/u1rN+ZIcVJDoevzrpGL5wUP2EIHfpba+QhXIjd+0cpMqG7ZHicINN/ekXOZiZr85gEtBqze8tcyZMOP7BXQo8Gg8iK49UrFc4fOiutO+8fJXZs/HOJm6nAPXX7GevFIDiy/4UP96c3CzJyXMkRzTZPmvbsv3vQCROX+AZ7aPPJCfjSNdKrYZjmyL9PMP7ueCR2RStkbSkgHUb4LHv6+KzQW2Vdr04U26Kj8CHpw7dBHc//VBooPW3AYOx0uXMe/N5080SGaKWiTjq1PZRADX4rhol8blkQhncyZvNc71lv/OxtsK0NEr6I01vcxDHbSApaGTI+kAvk9S8FslEMoZ+iDRAhGjE57P716sImcEkSKZZbhFlatBDzNXUWSno3ZrDXlpPSFW8c+5aHMKr0B18pNFe6+JtksF2J/xtjo4vdVovCMDSGexvQoBvMpVSQ4aAqP2f/69dysr8CE3p8QcOBAnN9DadumqCwlt0AM96Ou2P9rqBHKSMeMzon1yAq3MrKRokK5EOHmVM/kUtGvqkqdEpGfAUWqH7KDeG0303p/HHHg4XlVLePtifRtmQNDEiA6N8c8I7ZEX/cr6KUqBJTDQqNlgR1X4hHVrADtJijudc1vfyHC98VHbErEbxPKOhMsddy3o4H89MAd6+fM4urLPBhSdBX81vddmK1/UMFuV8SASOoa1uqdi9ppwb/wbg7NoAyHsB0doU1JeNuwONTOFKuZvQNduWGg7NO6NR8Fd6P69p/dSoXw0oD3OUL+AJUWQpz/1r8/77wwGw1Psg+V5NVMQX+rZ9DqBeExSzm3jXc1EAi9JpqI3M274pjY+u+5fp1rVoyxS0GHTu6Yw1ROfWXurCTWpomUP2v8JGGedkZlB3R7F0DvK8kgqSMR7Asntn3CPQAsTCXiFqqh3DKdOuXZL4L3MmkLQVb7x40lD/HEK33eK5wvUP6iTwL0DNMvVjxuKP2qod8DdzR3UJ9S/Dxb+4surKfjD7MECP70Dv58Bacy8ulza6QO43w54sMh6fKxi/3EO/AO1AQNCz3/vfZ2pPzHNu9xqmURoKYf5ClkwZKuecmp6BG1SaZwZXcwHHTPg8oCVFr6YvbD2QjpgjxBPKsZl7fIn8LZjw7ZEwU8FwVLmY/bmvS7gzBUwewLOfsvWxmFIJVWf3pTrJ/DOrhIwoPrdo08qYXg8cJfUaL+BD7kl/SZaVmmDNh7Uoe7nhxiW59GSYdbpCTAS1nt5+2PnMvqCeprdFPsCHgb1iqohd5P0hELASIQJvCNi2aDh5L4aUWxmCp0QWShoKGr6ulbIs3HapM7iA458EM0z6UKNGdAnt9CH6O/vmP8pBwk1449XurzMrfIhR2z2haDK9TaPQVOte4sOfx5pJxfg/AfeNR7mKRBOo0uuj6Pxz0D+T+XMLnCksOqapxz4LJ0G6nKbQAy9zystGvFA8GSE/37Aq5kVOBdV/udxHs0cs68HrJXGtFl4gQQH9pkDn+dMArIDH+NtIbU+YRu3uS13okh6PE6tQNmjgvg59wCNEX7jBgMO+JGHz8dpNzPgUfA2VFUPs1cPvGAQC5mzXKGO/MBaeoziqLI2rxOHGl78BQ0pK8hLhwY4OwfkJnZ3Tzql8Z0Ymlh6ZQE8Pfq3L7oxl8JwiKKMLUXG9VhbX5D3mwfuEpuavgprvvOCmz6UgoI2KW0zs1t9ZGK7oUPymYecpWJ6VAJ4Wzi5ldOa/lfKmfKI0bKR7P6/p8KyqbkPHZLP84BJsxKcRhjnbga/35zB4hZq0guw0a4Df1Z9uykdfCFuu6ngPcvQzOqevuvVv9di6ypTJ5m1YoorQCKaDd67pz0g8L0V9+cz0ykFXlT1kCuFf8hjUgqdrjScT42d5JUlD4rLDXAtO10bl0IdyxmWbGhp7vplbakcm3sqI0bNQL5phyYMmJTTf73618Z6Lmfj0czxDfD3BnpxPQ+zqH+9/IB/FuaMW7qQd0PWNa+yN/PLSK+A23CkV27ZHYs8T1BmY9TbkrcfubNZRZ94qkAUdN07NjjkupvGmdlDHWpne4K87gRrn4AXlukRY6NvZrBLwKmCiiTiMXvVrvRS4+tu9dbJtFcYP38LFJlj+tvsitJkEEX6gtxJDrb/9pC0CZ/i0oG12f3xlEMGQglhHZ8qnVz/84C/Q30I3QY4TB0BdgR8rmJizl6+SRfejO+huZOpUPo4mpmgXTKcO6Wb/P47z/Aczf/8e9PQu1VxMqXR9pTHSpS8f5oeqhKwN4/RR64x1PRZ15Y2yjxJ7XCRceblzEw929+qId00rLVYoZdqTOHXyie8gxZHyS3j6JM67ds/6rvsw9e50xvQMJ+NSGZzP/boYAfi7okdLxEcjcAPfxg1cxjIbz8GgRpkZh6cY/xNrAUwlgwUIgqPwKqQJKBLn43N/XPonQhN/s2Gq0FpyWE7VoU6ZYNGnKPN0YG8BO1L+XQD/SCyDh1r0MDGD1n20s40RgT54SmaQxIkUFPtT8ZlfxYL4Cv83tGfy8Eye4yd6Nt3j/SGc1XUAe+b0NvVFicibjXofx/i2Pi7wneCdiwwr/7ze4U6TWzgyTa29UZ1WoB2MWeYG0WTCapLes7nD9DpF+4CB+n/LE1ov2frmPOYF40hg0N9AE5i4R6IUsF1xrmZcdOnTrqeo9BiqyzNmSDorLEx8ytclMDfH42A9R/2t1r8edUOIjWSO1ibkfVJmrkQY5c/b5zHNUVSxiTMQJ1nwIJqQawqwqvx1s6oMmct6Bwiau7N12vm8ZCcUms2fR1HwPET6BECGJqno+xoaH+QQnXcISmPGrvuzR7Wv/tfr3MQPoETWMAFHDG0pl/cAb0xqmgmwCuX2moJRdhthn7JY3youha0bDKS0ZzD8Ruz2mdmfbl4uK8Q8yZ2ZuD3xrtFg8Z4cEu+OXYL3NFWPbqYmbCCE0AlFEKc3BUHDQC6glH/mq1+zozXta2fuc6g8mQbU/NZf10ahCW1zPkweVagEf+bW7J10iGpStBgjWjfvt/LqQAehLRd9pvXYU2WqpMRAX521sZvTtm/8zgiu6q4fuQu1ADxdA6ukrVr+va3reg94Arb/MTmGYvtKoGPnfu7i8fkJAT/yYbpfQfBuL/ZuPMhioHjWBJBTCV1j06cyzYrUH/iWjDenmTRPFmv98YnHrjgDxnmuBL2ATjFd27jZz4sF9zjJ3P5jSAdN1HrVBHfZ4783/nXfa3RBDV2eSkewlorLpi+lYMOeKyLzOgRTQ6VS9CZKyjMzcoL/V0X7UwEuhI27bjZpwWdSsL5iJ2tWXcBHOqHWVtCzN0G/m9//nhmPMUchSW8+4xLLx9RUPV4z9j2g8X/cf+aA091pnte7F/nkJ8gjn595atwqUTMM+AhCDjNQwgFfNjsPQMXdX27FBPN8+17z3zh/dd6Fra5F/vKX1BjRvZi437BrKVKPO18QMBh2o0U86wE8H+qQLC24sy8lkRtziMzT2b7UBpXXCxFihqLOHpsuJnHQDhorX99KTiaXAhqeA/ThnV6J9j2QOO/oDkQ1OSvW1OQoTRzWkAf4gh/UkZKddk+TuHeqle5lGK5l1bmAY7xM5UsR8CUuwQqE/4se3vmof3eqySlhQbTO1WC1klFYpN4D58jQZ8sC+g1DqrK+NTAGpFnusqRWu1V8KuNKb/WXXkDjZPT/s9T9V+P2tr2wCV2LCI+5oB1g7Iwmt79h3HucJ+DFmlG5B0du2sGu5T95lEPi5ARAz6KD4SqSRW9bXyh5ZDaKtx2uSa3NJyjqsjWfHjCn/t7o5G91taiWdCOZ/21gm7p0oG8/aM2Zb818/E8NRhdmGQ09u+k11fSowQDF+EuEXg3h4wtL7wmVkl13nS6x1DzU5q+aDjds9f8Ayp7A1ySY5S4BDK0Es1ah6StAvU+h0V58fVqLltAegncnnwcnNIGvHyc0d81D75uefjb3wL4V65Ht01T5wl6A1d0xdfcxQJ0Cj73fzbM1pS5f1+ZxRbWJWFtGV2Dbpy2796eMNOgd/s/a2Pr2fh24I738Nt/gEOwc9yO9Qj6f7CFMHOmjV8D6K062jv5YOYrJhNo9O+GEwK4vdSv+VUFX97JcG5LHxiwdPVvjuqc170HfM7bs96D3+o/T7+zZ3WSCvsoQUdAVSSl8SBkRDcd+oRo8WpOsOzbo9RJm1ugCUHlnfJtxQOZw3ueyh6RRjebnHk96OG3v83rVLRdaem5EnOUU2lVL4PtQOFXtFAboSruH9iVAWgSIgPe1VppGfQ2Fl8vFrbfVc82tMBHurvbR2dj9gc9KbiTXbal6XeB+H/zw7vxxhfFZEvKD6RvzZ6C97vn1v3eb13rQToCtN2pkA8R4ANo5Q7ijOFhCaoV2dKeUtCv08HMLe++gLdor46BJwZQB4tWHux/Z1K6BI1zdIwng5rqPrVouHGpIN/Z+NcCHrQY3+ZKmB7JqcCD6Y9aaC68DODTxJ3pG+XASu81cB2hdUnG9lbq5km7vSugruQhfu9jF8Qm+2oAvRe2J8iHnyqQxzPCx2ywbd7tX4DSE/D8XcrJkTE8QrwdzD2x1EKMU0zqUI0QBykd4RmdKRBI7rnw9hXwgzoHjmCpdy6/mN3Du04C4z3MhuQHVvpWiu2lCSSthf1s+CShtl7rNekJaGFuZqoU3MzUKMuRrfAeWxU0jpnV0PQyaYx/aKcktxM3dXABmP+ebfrMQKNklt4T0d8oak8UMYtH8vvoXj08yN0pzhb4HTOs/+cpUO1hZS4usiVdlZ+xBFU8MTMiSB3ppwpBM/EEAb/Jz1yWvOMlteU/r8VyxD/pyJZzNJ0U234rKg+geTxSGG0K+sjMEARNcQr8DzJcXyVvPN4Dbg16yXvgSSPZVbacctbmkmY3c6dWjb7x4fmuOuAnlno/V1E5epcz/l2HzxuNVQocZnOiLWiA+00GX+vRSW/4tYVnSh9SX73S1q6I8EPF+xuJJa1CDRgMNcdGMwNeTcR2xpZ3aKIlJQ6KsU3efKNrzGwo3Thp155EWN7Yin7M2Q/o0r1c2w+z95b/+mPqOzPnWyv2Dit2D9aC1Yj6Kvj7Ik7zNO+0FH9M7z43PFaJ7HEC/Y4p+ofzJNKfKfz+ugd9woxnxnxohq0vrfZxQmQ6ocY5DyqC/DHce5+GgJkr2p8iObOuf2LQTCkCLsASIcP+lUf96zwCn7psAdiWBbtvf+y7lRbX5az3lrkLryDP6SAflLUO8M/l8PrzqMx8UN1moAp8UHhPBfhJBXIYldEZMJtQLoDLjaCtcBMnFfD5Mi3UTDSaOMItG9v33fYrxHaheq5Bg2w4anflSC7w//UZPHtmzdeK9ZszEFphzk6Q75/HL/fg/voJ2LTX8F4gr5397VwwNx+TV3rZVrT/civUetxiTzMb4t1HhIftVNvkkTkegDA8QJ+cSAT5NkhPdio8D2gD9UOURdIJqn4yZjxVzH348NW4Zv4synMryQVwV6g3Zu4ZSx05ZWwhUsgic9v4X29PtNxML6a5awzaeKdGHtecu3VvmxzhjbU1njAB6JiXsvQo9HQFXBxMTBwdnSgGz89M/rZ3DLHMO4QyKh/N6sfAK0sm5n/zAhSzUSYah40k4RY33hxRWbS2KPyHmbkuA/yAzwrzCF+acJvzkdtsIHfQ68bra6gcfktBh1bwfeYeiECNR9a/G85IIjQaABnez2Vl1t6D974nBdqd+BRy627lELdphw7NmtxLPkWKqz3UplMV+Az0TCojz0/txMzncClFmdTTC/DHrcTdOzgzTqk85dH1IVnbluM/3vs6sfApQuyKcAqI0x5ZP+3qDv6/wg8zmwvA2Sjv0TF32iIN/JVAlpRM6iYsN4B1R6yVLVfQtkj16cgHcdlmENtmvhYjsd9n47+7MB/A+VbjKZazpSKc77GDbhADDzNbGzioOU/PG0fnpelTiUiWjmp/zreyed291OWJEt431SSmwvSbJuHBeLmMqMLmFPz155eHvblNGrcnwNq9GK8r7psHc+yIs7tFII7ymF+w02b5OM0Ywb/QKj6Hze2w9q+jPe0hDu6s+2u8m4JmN38crWzDNaBl4GeCNR7Utgi05/vcYRCF/AEu+ihXVDRc7s5Bv6ms2az3jQbpLWXAw7ipzaA7IRjUCOgs1DFjLaguW4IitcrOr4idTEJITS28O5jZ1QG5mDuqiv+be2vmWBn/6xTew5q+ZkcIc1qOvoEnfKtQ+vmQrgJw5GjJVP16IjQ2xMIjXbED9f8E2OiUlucQ5t3PkbJkiK/pmFDR3zfVgAfq8vd989972b/zzZ29i1d+aMRyk87yDZw2of0UcLp/MiHTE5ePg9NOwOPibMQXZiU8d2RGGP5OI+7X+u9ac3U7C5IB1jtk5Oae4O48NO+zAKcBnpK56kUuM7D15AAx+I3jZFQi6aizhCCXHBLzombaeJsHxsc2G4EHRcnOzGkHnlhwW95Fr6uj7UvQlrM544M6eanDZaHDnzffoNkY3hibvs9IHfJOj6llvIVApwxqJf1sZnH8ZFQFbNWXvINaW0yXJibFOUYXLu5LrflJIPZkVC8i2n6kkcK4368N5fRcmF5j/O6rNDUD2DPmNA5XHqMdR8lJuS1qOAaVYYdU4AO7zFllQ1TFPAX8eKTciDxVytE4xU05DnDHdELygax1tCzn0JvOAXuBvtoDarznLztKbJemg8/p55/j2h6Obmp6RYeq354ERaBxPCIG/i0YGmnQr3k8XUBzX2rKv6v4agPmOKDH3DMLLSqu8IeJLcb9s6aZ23T7W2rp4Z92GLOHoPJSr+wBeqN494eaOzXYWTaAfSDOPefXl24sX0yUN8g/L+30N9SzC1mTOB2mirgJh3XjgPk0tyUCTG8rrqip++/6xVdSHiyPl708Gl1h/O9YOGuhgX8F/me1+nMakE4N80o0vp31L06+cjc5lbRfgcNY1CI5ZcmmtJYfeEdEDjM/B/iSQz6m7r85WffasfegtaoK9CaBWgRatYDflCjee8x4x1JdclvN3NUxcE/g1F8PwCCHQ01VzMsbtsXV8MdhNg4YTTaY62se/nmQwO9Bi+Q5T99x+BS9hOqQSIixOR22PdRsnF5m+2DhuLaBUFsY3tX2R3aA76sf0j6B2jHtZK/hZ0tPgO4Hjtrn49+lBm2uYo4Zs79FrFtz25NH/+6n3EmBo99cBu4DmnLPh73bQI2qBMqbwMxvSZB6zZFi1yfo55hwwmgvc96pHGvgiT2360DZ5LK95+7fJdM8A00uQHsXqebG9+B9bo6zQd2qtYUcI35JlWNml1QU/8id8eDVN25UOCM0/733lgKXsoEiJyJ1w42KgUf1C0QPOop4atM4uaeg2VXX6jxSNjN3u5zte190rca/duUmM/7l56B/WfuZ2q3VxDzOkbnbwrNcI4sPM1SJrV0WqlBaT8BBLirAKN3N98ZOwjTAxitB16OZCbdxGquNlGN8/KZ3bFR5tNwrc+cjbtc0SNc0VqYva8hcPR/tLzsPvwAPlC9j5GdQi2jcylwsIkdsPXfZAv8OuBanjZ298l6jtE/XkpMONChWAV9Vgd/9NhXQsQtw5sicVxDI7MboAtvs7/41u1ZVOcyXHJkZZ1skXahXlpk9gbLaRsO5TwLAzId0tj8HS6UYqisZJAX9sGQOXqkDmivcvrX5KVux8aa4Eqo+uVYXvP61YL0nvmbAOzjNHcBc0wdqfDmsbZqJ+zPTbU6GbVzZ2K4KiD+NTtVKZDZMUgxzT8P50/RbsaL9Znp6cxs7jSyXO2jgoBElJT537A/m7jcp20PNX1YliM5724L6yA82XrNR70qud02/daSLKY3NBHS9EEtZBCV91qE+3W33WMi4ovK7CcN3zO8JQph18sJXfW3CxjH778YTqOTtT+nKz8yBOuJcnazzr5RdgWtOm3qwrylw5NohiLApSG38ocTXI40B60UbpP1WVwy7DLWtCr33eeWJO/eFr5jB++RnMX0Dh2mpFYIGWCYxmhkYrX2Ok6Qxs0pj/GpQCRyQAyuX4gxrCXXrJvvMkvBnMxvepaMDiJ9d1vWWRLBe7B/HLkqHuHk/PWT0tTR9+1TR88VCHjPA6cqye4jHso7sKOW9yVeI46stNK6MnzXw5Z0IlPEJ/Sxt/ycdwqcMZZ5H3qu2tMaQG1X4z4PrXrJ2ka5cJVt+mtFHdSGXUicu6J8ncPQydXV+Fvied+r7HLRR6sw/zEl+2Cg/sfZh/TlwXj0y62mrVbrlsHxgqifsEO8UtuE5+PdcJr8lDr19o/0lEzwTAYkYQlEmri/FlPG5/gHdUJZCbuD3bBifHOPBml7+PCur3wgx/9Qd9pjNHBluIQ63sxxbkru4PFFySgf+1pVOye72KcAY6myWh/ykaGnltPVpuHyctW+XPfAuBpIbNEUK2pJaG9DuKhQjulGhY+pI41+xNqaHwTF++gjXQWgDDxIZJZ6ZMfrm2FQQVwn4jfa0I6hdQHdhEqPMzPqqY38GDgc6Geuy8C0y4pOZ43NGiT5DKCtmzvCJh4GnSDFNR9v0JMgOasVHDvwaeF9batS/+zeIsElTTAsR0vAFCvULmIvyKrv9zPMZ4X6bC3PWG3m2iJZKxolFRz/KRXsE/p9IjncZ56ADgKcMU1wze1Oj9lDqq5M6+gY65H12s09BL1cuNt7nFY68ExXTAWKlODPvIw+QJwIfdDPOgSxVkiVzDjUFavJnOpKVItOPbXS7+gHOY2YgPP7ro513kMPWuZPozMm7T8/hce/WcbiY815qq6ACTSkjfCcCqkkI0iwo18zh8BnpC5535S5HwGkewIBOwIU2KkptefljncIr/FByFzGxAV+YHLjPAvk4ifKNvZez2FIzO0HGvpWvzU1y9MOC9qehcqpBjzaxHs39RBZf1xPlM2HzR9XhVzlo9xyAbokmYGwywcKTqfv1JOYMn+ORC/ugxN7Cjv2OjQesSVaBjqJUnerw64n1VLJ8O+FQ+5Vzt5iFq3y4O5VGrTSzeZBcuegt3iWiQoC1kfH+SzhorgfECOjjiZaDZ4kOmd4ShGP5PteLAed6oVvjm/KZR62U4dNT7pQToSG39KYep14M6KYYe8pevs5mNsWwzatwq7NVenl/XxuHv47WxEUAvMHBd95hwXop64iQc/TnjYchY+XLzHViI+QMNXfl/BYLIlLmWSVX5qylyvk00GjuUmEvEupqxvCU2/BQkL+NrU8kDJ+0txnkk7l7/RJd6TZ274oYrypG71yeiE5Ebk5b+tKq2R9bst6i0XZJYwL1PLnI0cwqIoQOz9dZy5wJfYB8w6XIbub+II3QTujkgSMyAjaHNZUvNqACI8Rwpz4aJ3nXr11jZlsN9vEcJCfAup25+y4Ftmr+107Ztk+79KUC9VKmbottBrom+88XEBW1zUEPKLtkxkcVcIz7RWNmqmkJmlgLCJKniP953IVZYTzhMc460Lc0cwTCLajQioR6h8NsFQK/sp4fmMWRmVkqQIuLaG+0Dbzjr1cezlczafgck7K0Nk7d81CA3C3Zgs5RaSng6u9zB3P3/Eyh5oWJW/XqmoopkUiNpZmTjFQEtSgx51gqum/UsLQkQpcU6oKKzCxzBbojXQDvEXyOp6wF+CuHHEisRqsD8HZXMPudy4EQ6DtloG369npwtkf4TXkd8ipjv72D97RfwoPdG79HiZ3rUxXwPnsCfCG0c46ONJx8PiSAqdlS2alF+OQC//Ar7t+gUlU83L7vBQQHa9qBfn3wwr/jdb9mTM6iSzR2MXycVzXhtqp5Mv/yqqK9sNGc88Gqv7YDD1Ljjbup2Pw7TzYNPZTG+JY5cs6c1s8L9Ej7t16e8xPTDxUk5k7pRwnxLx3+kXU4AV7eN/EXcBqcC7HgxgLe6mReAzW/sjTUUM5kPN0pyxb4/avxwzj37aYJedeYfZlQXjlUH1jndw9nUI96Yb09wjsFbgB8ub+7xJ1AWxICHMxLg+RpuC3wWmIaeYHDLVWRPRTUbsZwmzPul8AxMiqhwgGvZpKndn9r8rtNqB9C3SvffJ6wraYrSYEDPpiNbsRGFbOnC+T9rg5bj9iAfRYWzZgu+eovwMtWYeY+wfvIwx704HyoGMTmABpUTJs0AgI7Gs8PdKkRn83Z7FtXSsvb1Bxwldkj5ckH5N+gIu2q3rulkANpQXrAfIh/tGT9dsEBz5vOj1XU3o2WLHPQASIRJcWAyPOLA343+ZzRXgMO65eZQ/Xe02tC/aCglwXEVTm0N6hDCOLOocyOuQM8L8JtWkyFstpLJoAH2i2SNPOOa4KPtrkzC9jttlcWa8Jjc6emsbDVeziQLbfbIBPofd9hoLb+qC/znkfZDYv5QToeU6i9wIgsOWjnRJVfF+SDBJJRc4cTEXPfHPSkOSvlGXAOzQH9zgNaatDuotMO5AKBZ/TYYKdNPL15FNQh8ikEWdMOfgtVqZkDCFX6k6+cy2guDP87OH+c2v7dfwZF0kJsbz8hTkbct8aDCGqdLhv+5TCNj8ya8wz41fG1/a5+PdTee5X3F+jggu3+3GhcbowH3Xm3vVeazDlIUN5lgIOefwq3SVaQDCOjOcuHBH18osDJQSaBZkciwN+NozdngfYZR6ihLU97+6PmmoHQfc9qWfGAh999YbFcoG7r2iVzs/p32U830P+fRDQbbiFUh0gA53VA63FWEFm95om6ScZC/OQr+SGAp2eIK3geRxovd9DS0lbT0Z3euZwdXQk8kIyZ0OW5C2+giI9HNwRs3AZ4Rebu83cDig303Z0MM+EsYZWQT8gFlEJ8lLrdsxGd6Iggjp5uHewdM2+ytJZbubb7WpC3txjk+Lyp+P5ZOt61tsiptKclRSpIoTaQVVfESto8aDegXwvQ4ysT4XIqSFVxc3872cnIjgELQBclD8DUODcY46SPuiOH0vKOiv/z4jb34M254St3+xsb9SfTSVQ7+9vR2dyI2x4Z8ORy4J+SYl4HfonN7I2iX6g7fZTOnwXiPWDRPBLt94q2+wrWpg4MV3kusuCUuurND20MuSqNfwtwG25/3aj9OxccvsurqqF5cmatJ9MfGnIbdLcFnM0CPKTp6h9UQXLpzMZbcQf62MOCD1B37jz+uzm4UM8dckmt5d1TkQI3+jD8P49xfKZ/vbPxXnNs44ka0ji7EUo+zcwxM6OaRpCzv/tTKk+jJeMh8kHLThVS+4NFllOsslOok7NIADeyjbSxz6x/s8bupCBr099vwBHDo9W65kZnueLTuf/1t/i9O9gw2TbAE0Q//bcfYnN4Qi/kIduwELm/M8qHKTkz+2bmj5bWlmcsfXJ7msuxfd9dOlT5/F0W+lE7aoa6fzwC7jYj2qlIXUHD2yloRSVCG3QxIZa0a5dPZ3iuytx9ZCQ2cycBf09npL6ZmxSl2L6qAvC0mPYibC1z7vKuXw0FztNhWFdYJ/jdTTRj4F2D4pOZVf5DQ7WhQr7w677kgZ9QN1sAv9dyMPvIC6pdwCYXmxn2VWY9rfOgkswmoItb0E3kmkdS/38uN8DRlrzsF4dbwHdjgtJwHoA3LgxNJ/jWTR0tLetUWAqiG+PVPvoF8AZ6dJM+dZ52bfaemFfmK9/nZu+dKguz1jdzvVL09nS6m3OslRbTiGPglAhIXWB86BCwHUQZ6GhznxX4+cIhH4Ar/s5qLx1+oUxdKJouFKorcBaLIlLlYvZri/uNLSeoTwENE4+Kf/eyRepMxi+iB+715EIj4HAT1mRRhT+Z+eTAe4vKTkBXpreUG09DdS2tNpT9YkOtu6SrdgVoRNDtVxzgNAeOYGpAw9r90ZlCKd5+X/d3r9UF8NNJkaZN3C+ikBYJ/6zcku2JbW1J0QX0i3G2AU5IDo3BMZstKeheESddwww2tt2580/wPoDbzr40rtpduhK2vGepb2pmuaoDzHMTr2a4hNx16lUjCmoktxLglpjIAZsZpCHwYEtyCTrUt0DzbEotPxhV5uzMOTjLpe69b3OHhlupS6wncIrEy8S73+bucmfhNNTm7FxkzuxnjC3nGAeghYszBQUS7m9ngQPg4C8O6kb2TxtqEryfdHOGukFC9EFpm7HVv9L4ujladgdxLCknPWV6l7HljfPH3AGubPO4Lvyl1NqqzVwlmnzyaIqx7cusn+fU+NwGCJ37ueevP5sc6j7mfHdGoIpes1njsnLV8SSMb5OX1IXyaaxaeP2S9Nb7jAP0qZekYUJygYImTDJR6JW6GuIDecZLFeqnmaWJWE++sS03JYgf5QA/iUyXr7eeY/6TMjWmEQrN3TwTpzLaP0SUZHjoXzjEb37YyiDpTsDiKht9M4EObNBHwn2dx7xMo+2VRFsBn6cZYDzhfIF6tmdF+qqo8ci8LudCtTRKvQz0WybIBfI+PqPks97dFxGrRVn3d0+7p0JOzqO8QO6DHp1I40oXajToS745o1/dQOuCX8jom3kdQfO7p8A3wMdywTnUbcR4bOaUIgrfYXp18tzxHtRBD/jzo7mj99Z63LHbzMIxHtohZfpA+/l0Kvi36pRXOqDdRj7lwClrin5yZ9ufwv0TYtKrAuI3XN5g3SvgqCvwHStbkyxjimJbefmQORjW6WDx4P1cdb7dnFnmHVyU5oOZI4L9jJe3HDjScUUhAd5zQv2GaeSQSI1q1cANwxVbyuTHklv6lArPgbq0oQVzGwGciKOPM01exC03pa3ffcuAuWYmCOnPwBPyKCm4KyPT76+E/ODxpM3sP1y0ZpbhJE1/VPD1OJtZPDH/+O++kfrOC32qHdsRmiSlnewxS92SQowy+SMt/K4pG+XwoIFVPbrNpuo1Zbu7d4JYw5b8zPo2OzrbnO22jhivD9C6J1DbZn7Uk7gZ8Em+h9wreL+kfMg2AngPcJQEW8mtpNyGuLwcrPZ9FjDL8M/mYNkp6Jn03KFTTUmfuuqCDb/pErsE/MM9Wuna2pAfWRozDzTwwFyfN+uXV1r2QPKtf3SVTSxyBEq9Esj7mibfgHmgHfGb9z6VAJ4f4AwHvo9jdOe77c3sAUEtr8zdDsmmS/raunjYrPWwXU9Fs5GIfNbAKwRgpwR9hHfzzzkiLzyUrogUO0e2BCy/pWbm3zC9++cX0Kw7yTToO5Izt9V5/zQcysqdlkBeXiTgIzGzf/pyAR7rCI7Xhm2/Ib4QtSdfDokFGhR4kV4Af0KudVpqDtxYYRZmBsfffV/f0vFOoLtfZzOPWswxF/OxdiZeh8kM79wHXvEUvzN2ZAn1I8qKvzZImrXUsNIokdzZACPxB+A9CSuS3XmYJQ94CFr0Rph3qCP13jMPUoGOZOQFNj4VQ3JlQTKeWOJmDv8BbOXcBh0+yBIPHmZOa7z1x19fukClDP3dNKYPa7cNm/j6FFx/sKI1vmeCjfsbcLMcs+Z9/vXDUMLhd38AzjppwH/nUqeBNiPFMqglK47bzOAwW5OV9unaWHKTOrLjUHYAKQPjKye5vpFwb2EbtQRlUFGkPrhfL1VIp3K2b957kwzb2fj1IFyCBsNlNcprpftnxjQBLAIkJGltX13gtp2KFk9C3gHHxZhjM//GNtyAFQjWFotK3Bfu/l0UVTfg5iPUjTUd3r6O9+U8WE4p+Cw1XgRC5CyWIx99hgt/xfZUMbFEp0ib/SmbmbMVSgLS+eJMgW/3shIBZKtDgBtOXX6Zr2WvcNUhO3V5W4Xbb97rd88SxVp2oBmECHjK3Skv3SRSQWt6wEXlcuA3ywbi3mti1JpeM+AzK2jXDLS78RO0AZN3NA4f+aBOhp0drHksRWbDelZE4BOL7Pc+wPdhRabPMq4C/Ci5MjMB+tpObzWzK8BQmgtgjxZzKDw3722LQ+0UkZ7Psbzng34ADt3Z0Mp0hfx39x5gfowRuhM2mbmYZsbxv7sVp4i5bJDP2vJSwG0kBXCqYU4Z1D1zf0IM9lXEIXwG/LXKSHVSMNN37YaeCD0LgPZWCbyH+lXKKPTq3VYonkC9mBLQFZCr/7xMsUTYzwN0Z6PKOc1cFWevoy1tMsgC+OAKa3uTsdzgVWdyNRN4ETtxbAFO7auxTYDrk4rZn3mYOdSSuHFVWetwU0P940g7lPL3GWKUI/8l+uUkevQgLIRozm6gjRHkMwEtcQMuBZ/55ZQ99iEPndIJ7eY197AOu0bcn+kAWq9rK8i7Hx6oUgRa806GDJU3Fvzd8OjtiXF3QYOWStxt4CW84pxkTotzth0l1PzM5g/DT3EofV5M+dFSiEdbS62y5C5eoH46GXu6TYex8VxqhgkQEW8YmxC5zLJk/KBG8n5fEQ/0VYLe5FyZ8wZc2i05h6UFvOugnOl+tBWqYl+YPiLQGRTeKcTLfoOLcjmbmWI21DI+3c8d22DjFcPbB77MK/BRLm2otZy/OfY1sxaEI/3DoLJhmoQ1b91MqxPU2cdJgFaEnKBde+c9iWuXxAeHfNOe98puL9mA76lDXmTlvLKJ6XgI2Np+iBCNQgMugG4Env/ej/rMLZJkxR74Lx9Aq+xypHZkTGQ+fD3TSH9Lq4TPavtm9XVNfeBMpBUR39cd+sbWFmqq8RDQYSqy9TwAN+8QPhftJw2SI2YceN2SvPs38qB5NlZo5jxvWLTxzsh3s8s2xPm2q9gcprF8ANfyxIAt6nwtNMSgXYD3iKRS7A/oKFKRmAeV8dyy8FW+/rh84N/nmFmQd/ZZk3++jsD/Asgvmb/u5nyZVD2stfPHzUW7T0Gbg95g5bAcQXsX1frXnD9ciDn7DhNb9Go6WneHaXk6B77gbAKcuZs+2yrvpx1oJIjn//d2rpwZci50mz5JaJ8QxYDdDJsNowD0Lo9gjb+hNtKSc+OPY2U0cQTtvXSUR8i5F9RuUDjkWxTEUppkTdfuRc9vylkiHv/1UiBbb85W2lOah8RKe4LM3II8XG6ZbTw5Sd7YZK3XvcMdtT9rH55v3mQF4oSSAdOWn0RpQV4/ubm3VLRXmf+5Ed4GUhMbGOeemH23Yfrn6SS4uvEC6mihP47O4qrBM9rDBe1xynoSnnv2osNWVjYmpxC9ZJGClvvdcxuhzvmc4QzqWC4D5B3sFv76egjAIib0Dge8U/xfP8DccN2XYmrLwQtVgEMVWs8UtYXcbUsVlxYO57VZUXKmKdR03hGrjYTxiu6TVA78qfoWcoW5VUcexiskh/Urx78vUagfIkDHO9v3GYeG3N5Q4DI0JB/mfnQdoVfpyA8ctL++6afd7Akjhnud5Y565qvqM8rTE2Rl7UgK8R+fTR9Q+OeZM72vL382Zo7T8bWFV8xzyfjbEyMRIWiF7utl5rCB7vC4mScaT6CXe6ih/dqIJK+ixfiaTkR4PLeZJYd+oQ5wpd5oOjyBpt7UAy6JtTfnSKYGPLmZfc3QmlL8Pncw85kT1iXHyjI93knCdzNozOXAmZzOw/LNaLvS4MurI4MQxndcroCPO9C9Hvz3nbmPmhctxKt9YsJDgGk7QbVsomQ6F5PZH3jvfYnS4DTgK9R3lgtAL66Mx5NbA8L+euIWaIH1HDNNJsyeD+LqWZr5m4xg4GVuM/61RKB+Ktsvjf9c5ijvAKoa6seFArbCL3zz3s/f/YLe1tRqKQU1Cu/aNf3bNP/zyDn/Bu7mYCfbUIFSgppNDmt+tPAuj65rE2VP4DpZfZmHlIYLdlqnes0/1NrcqPPnWUWcUfb15r2EMdQT+tetO3JVK++qCJu7maf/7k7LCGLsUY94XyEtRZe6jTURqScbcPojLXiQ88Rn8N3K3DkdbH6mKm96TzdB+FKcByam32sInCc9rombanhaDfVyVJCH00gdveTAu0t2fdbF3vTij4K1u3M0A1fHLWfqmIvleRJm7hX2Ut1+lsx4a08JyLJDPdjF0Z4iyKn3PSkq+wnlzn7T2GbGgSrzsF8Y41da+AG3tt/VcLWqcNL5gJ5Q4Vrpkqgq5B107lMaD9pokrjvoZqgonZa79xfb6oDLcOWUzmSNOvaf+fmmTVzYs1xNfpTFaAhdycBOSMbtjhYqyvU15J2oANiKfnKAWfZWlr9izn2Nw71JRPyyNEENQd1xJXeqVBeE3lRGn1ZatBWLay3T4VzEm1MVkAAe5qpS1huKZJTZTVB5oKGzci6t4G3TWcxHbGbXEGTm2e+0yK7Vfm2gtpYAXdg6nV/pAH5VuGf5RRlwFNCr+pkVmr5rinfnILOfM02How3hQIOTlBe+LFiODDzx0RPnnjUoIk8JFf/zrlOQW/6dQgqN9QjtROLO08P8E0f3Qw4WvI4RUlEwm1YisViWr1nPTvpKrEokr2ZJ5U6yacIYSVi/oTYiCFXXcCpBzdefoNGBxdYTTFFKtKEmTmtbmvOfI0fBWjR5obNOUjoocpRJR34w/R8nYJ/vnOYxM2Gh94Pg7pajsiB3PloHE3zfD5mDi4PTrhA7rjVZYagl6Bx9E1BXVNruKbwXkCPLfi1jXOdJHlvHyrL9mqOk9KBeArwDkfLW399NsImJJ7KBoUQ434M+BeIAnC1IEUVJA9lXR9El24FOjEFzpOG6irG5MQsLyJiNrMVj6wHTjng8LjqWAjP3BtGSth9Jcgn8Kr3PfqgcnHauNpVbHnBmqzwlu+8QHs2oD2JWtecwxv/lXRINIuvt9Jpb1RsTZ/Ud06Nd0wC2hMHZ5T4wHuiVBMCed6fmZcwZ9qRQb/rV2Duf+XDnxd9bS/AoYLziD4hvlBp/Dx7DfyZpHxViAT4ekbtI7MSRNgWERu0WawgF7UFOe3zHh9rC0NpaHPQzKgqOKl064KWe2OU8WpMm7VfzfkbH7Yn7qZP4nhlQzUzPqwV8kPKWr9cm8eZo4oNizCzM+FZHxS4Ph3+OKVLrNzcXYS1zOP2ocSXB9xN1qEOKuvdU3F/ZkMGtUun0tLPjJu7x9J4jRnvNQE8eJ/zZqkKTPmY4JSnz5ItrYSaUkdP4Kw+YiFPj9b0xMj4QKJ9c9leJGvtXy5EyT0f8ZtHWdLFoZnV95vvwFpkTw75sK0apI3H44UWOEiBg3Kopaw3vFVfAKvm2vQf6KTlCLm18b3lk5nvArFpv1KBkxSR/3rQ9PS+Q2fm/Pi4kDzVyXfGsXuOeFJbaADsiuHvMRbWKxvCF7VJB3piEQNg89i8RESsOp7MHm+fddpRSMc4SEDzJV3TJaWIrJX1vKpj+e6fl2rYb5j95eLurw38K4XPtQ8OB67D4fsSBprSw30SCoPhgcqY6XMMQTsFZtavtTRxujkJjKXmk/FRAywYM+DrapQPyMeyCdk7Dq+cAk8I/Btb1Q6054WM/Q14Nj46kmA23arhC7AAB8AhN6fIBh5rj1Dvn+dQczbKm9qZM1CEa+NzO7Yj61V6RkpmHSiYwR5Up99nUj9HN+ECsINaxMJuD3irenWZM+OBwULb1E2X7/64Dfp7E+H2cXQI8FecAa60/8fUt223ijPdvhIHkxFfLmIExkYEoQPoDpBHMAhMbGJjnn6X0p/z74seY3WvdGyQatacUtUs3jceYN+ZismtB/WZUF3Wq3pLogv8d+AKH8Db0avGbNbU1UliZVZSKMDTSUKckya0J9NLD1EVnAL4xaP8aXgJuf/m4ef73cyyyYry3kBsJANaT52fCCarzJUSlNUb6JOMO1+PKug3p/Hr8apZwp1/rVb/57Ci83GV4mRmedl+Vq1fa32+3bPndmdmMZ9CL6dsAd0nb6dhO6QU9DMlu5p5jOrkAdybikCnp0gVGeTmKpQ5CaUk8E5e918NC+44IkdF+bmOGouxJYO8uHIkzWy6XcbRDlvedAobN1kbD/ade9rtQR/FXBW6aPqpMt7HsHf2gAUW2WkJ/71nH7OGvRYmLP7TeqcCqC+bzsqy7ZPAvLR0AGvxVkICBr7J6z4AHqKM17f7v+8CXHiLAYPHpMcusxAjRZs1a5zUbLknveVKpoKjhXDjLLeE2cnrvJc7cZl0Oi97eQOuSWF9kTl/TDoeJLRcc3GxaN9CvsXfp6K3lYXMc4/Gg4VSPEC+SuiuWUkhf+C5rxRyGWDrD3eCVQSKqzD5w97KwoVgtwfTOoX9d0+L3oNvDDlkejtaWwv2gldqk4v1vnSSO/B659S1l7xQa+7CJ563PenlDPxpSorW5qG3q3fNPUXTgJ1pOLr65VntsChemv/pp+Pz3RFd6ymmMOhhCRrueLT2HrfQJaP6WzA8YoilZMVt7SxdI3giCy5OFPSQww+Av8BcF1OvM+Qd8Mv13zPp0Gt21QL7r1Uhu8tCVubMxvhPAB795F37KS1uar99BuwtETZgEH/LtL6RAlXE2h6zjnyW1KfMshNQfygbtSMieVaADyfjrGezJ3DTV+3cA/jeDjT/wruYNU5g0YJ8s3DxTK0DFtOl1CrMV248hDrTC5Fyv6/YtMGjBKKyFKBrQL/83p3a9e/s0xh+1k9+vdPdKat6+epdoslObY4WKMvQbpuelOQX19STCDWZmj4qtFfRwDsxToBPRMomNgmzpUJTWu9IyfspxSHmksemjmdWAanogMy4gW+luZcI79WH6ICuXU+9tTkVfFP3y++9AqyHaHbxR74Cjwu8QxVuWwJ7WowkSnrvW1Di0WEyex1zxufK1UgwEuZuCdxwmSH3PqgrU9O7h633V3xZlJOpdkwvHHpjAnKHmQtUoAcR7x4ZeUgZGXGAfdh/HrXs73qFz7HgH9beU/PM/Ww3gM1ETLtTPx1pMO9ogFdpx5kcyXC0/zzubqCJPb7LNpBL3w6W6a8kawnx0ThIYJpZjJcbFn5t4FlB7sLfdfxAIY+UNE5A14VqRAEzdboFJtmQrHTQY4LUpBzYbxEfG/if/upgGTlyqze+kj0OiF0VbV4OE8Gm1idMLBFgmYYyPIXY4qCJEmsC/sIR7vWTdLEW+ssG/T9XsB+l9V9NtAxaygty5qDJVCjLV73Nr85AflJHemPmBvGVAG7zM/DWt0ZkrtpBPtq1Z2Kpj8qeKhHsQbcQG/TdLevizUk0a47Qgw/AA0LymUT/lnSnu6RvYb9up/8vvu482O64M/dMIL8JZ4gVdCADaFjQCbTnezHKycyPFCFCmY12zeAR4CV+Ym02oH02ByexIU/ZpZOt2J1c4C9OzviNudlT0djBz9fc9htwd7Y2awI5EPBm5DYO7b5eOS7X+IEHzXPIC+aeuXLRWAKBqSz1DT+LQMdnytV7OsiwcfiYDDiBeICsNMs0sByGkFUNoAKLv3nZPnBPu8nnGN6/4T2uuUXLnNiqHczJgHze+eJgkUIM2x1GEEOFj4wbA4XvJUfVUdQmjEphzh/r5zbNR5KamSXl+M9r+jnFH9sXbsh6529KoV1u6U1jzqKEtyfW5mH+PbNullxbhAcyMpdXjfEIYnPedOgOWsrcmz+qdQ/YrCJRTICD/rcwXW5sTpJhRikln7J49RTPQyOkbFz+UAPBsNYOYGnajHghoOMgm90TK44w55fSnmjm8jvwReCF7cL1tCQM8K+Pfxo9Bc3IH4Z3Aj5ZsGcvkIMq4PYeaLgXRplzPtB2oPNXbmYW5xlbRL6T+9KSB9gvodLNE5K8pRyUVy73TgOKldhuaoff88GL+WhmLN+uPCxd6lzWxGo/SifeCKHOstNvieu/dMoROPpHxi93yjFu+ralo7415qzD2dxPw7zB5h6PT8dUQGyO2s34P4j1uRdi+SSh9hs2X6TtW7KIL/BdvoEzr6AFj6DxrGaMHbZ7zTef307D1wO4pm/mEShXdSnnfoPa52nksN+4x4BXisEuuLVZj2sc/c7pjDitwnaDnd5tIEObOcLARSsG65hHpkdFF9X4ZXpt3aRTr/5K4IQxKce4l2Ns5iP3GN6C8ZqF79WZUe1sl5gazjdhOhS1P0jK3xjyd2K8uHmIpzyYFuz+A+6NgKt5sh75wIMF9nd/Bw5e4cF74YZj/N8OFpoa4FoQI4Xg7U0Ek6MC9AY5ZmTWnEngbqX2M+CmOAk1PQXv9+Nz+5A7dqX9u6mhKRoLjbkADmiXgMs3B7i6c+K4xdH0yil34I8/B1BQiVua2ou3rGhcwAEXOGMHfGnTOJdnDfs5ceNnrvd3BbwKOMUzDfnIHK6r51yovr9CfBrPdnq0M5u4E2nY1niCowa9dMrtwddyLXnjAO4Avwoeyv73SHmwOTE7gGdKcKGnJFxC0T9Wc8d6Cm8PuupO/faMoBWwGnKojmrgImKYUGV5wE3aa2Nzr7alDbn8VXvwAzG5lxFxIOcEjNkoCWVc8n+gS3XBLCVAd/q5ni5VQdra1XbSS0jG8aV28VWhYINdP5b5luFgTqnbxlk/E2oDd1hJf3zenOPavu7a2mQkzxev/Z2b+XwH9QCcUuNjjvCBgp4AbfcpnWnknfpIII4rWt5PoL2Oq4l14wVtvG1lBlrP6BLnaMcI56b/I16k9Ye9Tj36u3qUOutKK3c0Bd1640F7FKZHJJgOGN5H3RlvQrYA30dqSK4piwPgWQT+v89fB3GauMrCH5mr4X1KX4VmLpTamJ42PP7N15vTIH5CjmXGf74eNhvM42M+IOOFuYjRv9dibuVovIw5aJZtmdB2ODrlmhZ+Sk3/kQO4h9oxW/VHJTZLPU4YM0SBo4/V6Pd58HfnW0H8Q8z0Fg7M2a5MaopYXvAL8GN8XMlMRO80rDV1Oj+4h8y2yoCLjUNCPBOLkAp2SY4uHugoK+nfPRE2Gx7qlpu69Ijs6/XvzKEsC55TSw65rTkGPJCh+mSgEYFfJ0LEA+/bC8T2FfbJxdQSVKaXRrQP4DSS99YDchtLi6mtbAzY/2Vzay6Yo2955AsevkO+/POfLyT8WYbAj0PgTR0+kz4O6xWFKfIvB1tV3OIyG/8t1NpvaKEWyI3POuCL6d88AF78no+bmZcd5K1R7mpHBonpYKXNcmK6T7r4lb8IMBZ5dJaxBIyvAn7MnG0M3FUDvkOkfpnznDyjJFeI3xrem0x6T3np4Z22atg/Mr9dD8/tdwJ66ei0eT381ga9nXTgche/Vfafv00g1/16sM08Y10encfV+OMA3r0BDr+dRuXl1haxUVfKKS0WsUe1yzwpvI2CvAZ6ihtvgRP/d6+CL3OOHlS7r+upl/qwthfuJB7kxFdOKY9uG4IG2Ek7u5a9TgHjf+rz9m7wO3HJGVsbN6V7SwrpVOGXB7rgzLpyAbx5lN1+MbWPTUF4U/g9DWPOQfWnKHsCBpxPEeg/zV+9MGEluGZWfGCRjyph84pj04uZQJyEtaO+a6t51qL0FOcL1lNI3Xg+uHpJULKh4X6DWXwru69N1as8Z/YlW4NHs/OPwOOPEukkD9FLV3ql6U8Z/YL3sioB40/CFsxRPmEmF3FT5aSrsf2k/ZRLG3CPTy6s7VSFsyAWvjLTK+vq1Mz1rvvZKp2HVxn/9L51ISaPbPyrgXnSol/h+3fAJeaM+ovoUQy8/1JZyQYwReaItIlTPiUnC6CLKzSBXTMfINf/1r8Az9gLLX9Ak6agvZ/GPxI4gKeAb0rGTUy8zkWzerxcM6ZD+JxAMexztnzkoLFhT+3EjrcynEELxlLaXy51/RQwbCFospNOFiREQUPVd87agGn4Nhqw2PSGosZOA4KVeCy1/ptDVyhrKVMBmimUZn5q1AQxaKCFQE6RfM3WFPEfhdo97X/z9reZu/3fXOT3hbglxFbzbCztJiP+yXRcQXxeM9Am3OasFORwQv8XX6b/k/RcZMMy82EGnahj0DN+Zpv5gs3VeC9S0+tZqAPp2jRbY8NrcMXLlQ/bOSkS41lh+jy7JMADcM9nFQEGD9uRWLIC0fc604vkgD4r6x30CVmAz6eJCGzZb69ptHexq3Gd30C3xm2DZNwM5f1oKu4piUik3BMqgbvpjgSWjV3pAy7sKp2txkvjFJQb44ef5O8vjn2AvGN8b96y/usO8flzdCdc7/D3wdn+JA6J8aomCIuCBBp0uqn3WdJ6LO9NmLhVAdo9f/cSffFOu95LKL4ng9eWDB+ZVgloYP/gxvmLR506TOCzQNthkYwqoW65il7+8LUBPhY/G5EsPARFFChfGE+FYZ55NL2dgjjGztQBPvYpxUHd6YnAXlTIt8sBeINFpIScIgb+qlnaZM7FTQszrZPdOYecsttvMnZzqZmxKDKLmrkfjL8lH1sQX9IGLq6ZizjsDxeU6rE6vxvvp5Qwvcl3Xx7E+YXuYlT12NQY9Ir6r/6vb9ojkgza+CY/q1Gio5nagKZP4wkCnNZKKXNAM/7W68rAG5M1gJ9QH5x5a0P1Z87Qmeipp6APT8M0SMSeOPC8E/Ax5mIsNH7dSUniXuAZ2kM2PJ5iWEaMVJjpqeXO8q1WwARA8lOvQ+M9LS1F8NA71ajDozMf67HdZZ2fiyIGTQC5hWeWsjwbrxg0Ih5N7x+895eXjktC844wS5F65M6X/eubU+hHNk4d6I5bHbaDQKqq0ST5YK8YuCFxf+//d8altRT8k+3UR24ji/TToUL7DSsU8LHSrri06+f84mzeiZZ2I2bBRPOsAuTQ57wTujfnApvfmTC9ZVdUYgwalUTS1LZtEiZTtmvt3FqSxFpGZYGeAU2hnu930y9DnVknDuhotrkz+m/5iy/gBQq0e+7sryzcHkCXh8BZIA/yn0agWwIKuhr394TvHUq/liTyv6kLxL1Hu4zxKHdAawY8rGlyxTv1aeZZpyHJOcqMV//KLe/lA3NPWAvPChqD6W9iTj4p/oG9kmYc7zLK0zoETBr3T1b8W5ouniAOQia2ER0JyLPfeToxcMGUF8HCDf/Sl7VyJy0RMT2XByU857VexhdHhhoYWeCxXl7VYO9wcHuCqgZ8V4gFKqABYqdQpXJoE8ifn9jdb3jRW2QMHljLS2Z5Bza0lWLqkHP9XWrzOcsGQ64qqf/SsFYiFHBNZNVDXMDv2fNwvxifioPzbgPnC3nIXaozK3Nkp+y2yrQ+0sECTWHvpKtzFikq+AW4GhfiPL/JsLWzPnaFqeHU7UM63kvDrpQ9nrTnb4SR4hReHol5FwLItV0+6YpKU03Y2MDYYN3q87ujdOmoSKey899+fegYfvB++1ABALvY5iRAMgftaHrrpMWvxP6r+3JPPbqbecoyih+iazPQON+mjtvctTH2uFedHJqxNdiElGOtGLTwqYtN/5OfosBNIz5CjH3iUN9p5J8pbylwMQa5KjtR/QD+8sINBvsty8PFgo0zZ6s/m9kEkuvE+IDVQw8cVv13v+fMH9VgeaSIfxjk8gOgWtNzSUY9w497oJ8exsdUaLVpbBLB55WZW17peX7Vzm0AG/yc8r7WuqcUnc1c4crSc97jHgsM3B0fVIDz0jL12PEZcnKiYOEh19yNDxk932xp6vfCm8cK7GHLHmX4WJRWM6MqyuH7v/YGaIT8aLXAX5VdCiyBa8habHszp4PTOK2GWFe2xLBXOVsladyW587t0Zg5k5wHTWB/gk7/Vn3iUMu+1ALeyxgfEq4wpnihqHzVVAAP1cFph8UpjHcp9x3QDr7SySLYXFZuO6bAB6qiBOY8P4GPIGm1onYW3oz4eYL9TN1ppf/NPYD8xc8lRYWguEqG5VqKaWTu9OJsEAfe4/eM1bEPv765z9sdYmBMEaYS9lBNvzbSbjaVjSDHzzgfy6UWOscaCEmHL6rgu6PdW3UH39D2o9POv1NYs8rFmvfocQra/3G225WJ9g7rfW8oGWAZPghCh/o8P9LCzKbF0ylCwJ/IhTjWAw8eLYUUteWlxhPtpJUNv19TpFEOnPIU6Cdo5BXW4xs4wlH0l+epmF57wyIIY8jVgOEYopHEzPTkB5rIXvnGMxow7cN4fdSObZdsKgniKXNI9DsDg8Zt1S+AS3hMhm0qIIfkYwJ4Fk9EEFl1JJPsb+bC98E19czxjfNmIVFs5yxGjE09aKwZIlhWPTL3lD8YkZ3x/4Ec3Ne2uT+3/SQgXd7D+nLjhatBd5AUuHZKon9P6mRLxdQIuv/FD2PI/1Ez2I6Zv40HOyhFuyQF4FbA76bfAjgc5CSc4bB5kmFOBcMhDh9PHmy/S+aZ3kG75BIrrp6M2R/w+3LFbg7tVN9obanozys4y3c6hjx0kJZ9JEUb5QM5HJz+UZo77d9+LsJKPmHA5E8msDlT6VVx2ZTW+1oyy5FieZi8bOrp0nybJY608Bp/KkAEHs4PCfzkdW5DBnmuIffx0DtUbrlREdrAnopAz2LAzQx04AFQwIY8c4C9U7JQTqqTcW56eQpya/K5Awb2gM8wsx0KGX0B52nMua6bhrKAvPvih5HIt3veAd8b1L7pfJ3n748M1gD24ahEy4mjgtr4cg1S0wjwf+2vpW438HtSlb9fM+Cn0ml7KXhMzu+b5Px+NTO5IbZ4+gG6ePib79ClEf6Uozxw1xfN+uWau+rMVQXg6TfwX6Ke2z3ovGM+fq01sGY+MJt1usPMDpq+eQLn7CvQWdng3Qmb9nXXWIKbWkg5H9avDdC213NpFgCPKTDKqDb9sJDz0Arvh+AdvvFdHEHCfuTmdxY8rIZlVWsLey926frlmarIBqlShN6SD3FQ9o/16NzcjDdOCZy3DqY2B579+izpxvdqVIvxq06ACwB2At7jHzNrJecqlmY2RLgcIJfMOW1N3TFJOn/D0NeVgjY2fSSnMbGZG3iwZ6Mq8idMvxy5Uynwx0sabNlf/hqmc14g8x3RCbh52QMOPrd91mVWZcV3U0dk5tcaz4zSsj+ATe3yHb+feFxko4rSInuemHYre9ozx3NVBFwPtNfv3VPvvfH+//Sy6r9AlwAOWeQbcstnabfyBDkEckkGjP5eWRj2WZzQHexhi8zAFQMOO62iKqa2dk4Cx1j7e9brD8qbe+7wEvTBJnE2dxzhB3CBFwf49aSD/QEyKQN9uVxYOE3Y7u9qVb0MbitowB8zs5NZ2CU8zrDb20ZH10/QTcXUMaQ9bnpMmLeDPeqZO1TIrW9y9SnbJRvV/dXOHWrYWbI3sz4um9rGVlY0Vq2D5TQCF1z/6xuV3P+pw8cdODVOdy2pOuDCsNcBa255gPApn13IlWsaxR9EwGef55ECrmarykuxvPh8BdpvY7yZRPBYaWd8fKeyMXWSAhU1M2epygfceOJQBtgxnGD6xh9z1qx7V/J/v/cxtJhgX8WAu/KWdboHzT3hEP38ztgJ/rT5LmW9XSH5nRfqWVL9LTnoxU5hEhJNbNPDFJ9hrw8Mcmy1K69CMLcKJyJN94KZf74qyD1yAJ4RJsB9cjE/RbDc0tCuaj5B9E+v+V9VGno/6Q70nm4n0NEJaJRv4PKTEB4zdWNNJEszy+LU2+dakNvBvjx42AMWLnshsA/5aMctea0YP0OOgH0pNzTIHNDWiI2TJ9fXPN+by5/zubFK5xSiHNZrKnvIHYOKgH+CbsOQS98d4B5WjeQD9ii869irx3jGXOWCqxB0jOSm7zKMZSIQcOjYAnz4IVrfT8z+pkH8x6PwDjL9wO6Cxh/Vrx8bvitxc4ADFoBFg+jisEKorCm7yv+86i/wmREbFpABcmpsPtXhrx9bmQbG4wVXefjl1oX/UBGXdfGaXTV/s6A1vWfAN76AM+y9pN/ec9eXNFIOt/mB9bOutDlf5IfGmZ4NMxqafGDrYnr3NxLiLCvMvVar6Wj6bG7POp9L4MCcwnORVb7WS0rb1KjHy/G5zY8rSWSABOOmD0fr0sxCQaCJkRqTSK+Q00HXcbdCkOs/th3fBQ4LYK+M/kcF+SPpN/AOl0oEXg8cdw9c6bMSt1edg9dQNBwseQPuGecOuudDOwB+OHTYTtKar5htGcRRnPfeeIr2DxzGg6LxDbvZMwkm46s+ppRwUWj/pDP3ZOZZFxq4q+cDJ7aTwHrVYs2J/u1X+Kl3vPhvBjyB7wUx55j4umwOjszMPF/uQG63Wsh9hhOYQTMEuPyUVZ36hO9DK0t66c43GKdBS+8VxR/leLFrG71w/pq4U5pDrjgFM5MjPoMCXkHTHYGvdRBzdxmoDbcS4/F1ANVuN4GOaxfP2MIF5OJNydQZ+I3kAf7JQyLzXbBUDvmsdbay37ni8+u5zo09tbUmG1zgh+oBq6ncEzteyy67kiAezTxG3MHnr/gsRbkBTrXhARlyzlfgOgu3sMeHiabBfGwc5p5MPNraAwz5bHaNJ6j8P/95yuD/2T6pme9iJVbu7u+EIsjPywbyBxFB4qVct5Jx874+8kAKBbmKhm2WBDd4LtN/DTqMyztwFYuzG8TguwX44+W26gDv8J92GEF/243xb0ixw5+Gfx8sU3NPCsmWt1Loj5LpjbIm3ATok7L5M0Hxd6Z5WkXxXQXsUQKHzB0igXc6lMtjAlJRjolTge4hEXrVz08H0IwQ34eyX1y5Q6M0flOhLHHgnSuGpAjtz9KCZ4/aEoLhWgXE3HuwnF1sU5tC3faQ2xzwW34CN9gJJkG79c+at0vK8YL5n19KWLl+1/CJwWcUOeQm42lOrcDOLBwDvkgyEL8e5hFywa7kxPSIYsL6TQ0xwpwpJCNeDg56kDG5MoRWNjZOE84OcPap1pOkTvyqg32rzXzWCMX5GNvViGbQR6Uc8JDv8NgM74CpXgI88QK8+0K00eGIE2FHQk/A+4H/jK2pxS4Bfx+AIW8iaJ/4DJ9Fy1UgkNC9fNXqZ83H9iexlttJx0eq4309Ti4Te4gdHRLWOAeXxHjsXUEbyMsqTgPUKwTfQ6i3U8c8EiYWcD4X79qyEnhz2gGO9HMFMQbcZ39V4atW/+bVsBKltV1P5+0nAc4KGud2Eq1QRXlPKHz24F0J8KscxRvS42cmtpdm/LeRIY5NnxpGoIlC0Ooh6STdu8DtINPbjtjFZzpsrrJgr17pe10w4zO8qo6YE4xPYWoCAFcP7oToiJ2DM7t0h94Az5OU3R5loR7A8yJeTEnmgN5D5EA7dJOg9wVkxlOnP46rvlB7GmtYR9jnr3c4CLZ1qf73qGlyr/ttj52vDez3AwYujZ3FS4BH58IbSkvuMj5dk8B4xicQ60gom2zSAnD5OX/XZr6kbXzQfv07fsigzSzoyMxZemGvqSckQ3wGPeEDlnWnjheALg/2AblhLDd85BDX+LMuQN86rakxNxz/wBwzx4qsR8voe3zn5h426q/AqRYpTO1hHNfhPKv+z39+J4ATnCJgF8Fc5qCrAStk2U8EGFoM+ic6rupBEYrTfH6rhDyA5j/mlnbrXu+yNXDg74y3po2RWhLbzDJFNry3VYA2zk3tF4tfuPFgg+kpUAeMJsiL6ECZ1zHB96XNH4oiLoE51BRfYE9k5QC8awe/i3E3D0yNTPxoNE4Y8mcSXCC/7Z/ckRVgfKeMDw4vgY/6L9zoiJn52zfAX9mdhMFaRdLMZO0gZ26aHN5jaOujtXFFyAfAwvDgeL81NOwDOKX+58iPd7cUe/u44igTjV1zflfDl1cCm8sHj+fcf/Wbc/iJDe6Q6ab95MF0xZHGlfaDPCzvp/7LJTv2yCwCq9gy0SkCevJOOTpUdtxm/RRTJNsa8IzbkPtQ75BVYTObu3FIwCLMyPjnfeRnDMM//AYkW4Cu/8QUfRqNcRoDl563lfHMAb4Sgh6zq9W/mr7E0iIXKrY5CxvjFz6ehPGcn3YZ0y3t/pm+t5/mY24V+7IhH/zNQkqC7QYDL0wixE/d3pGF0tKK/TrCtgqWZ74So0gdPE6fTT+jKsJnsvI8t6aqCbxEudghPXokBduA7r/UtjbzH69V6HH8OwPg//oQQR/JvMBTE0gpEDmqtXSwha6sgLfhKjNTY192MSlhz3GNLsk4hey3Fyi2KGApRpqzQae0k4u5B2pCZPogQVtNlQR8Slb0uje/iai5Ht3Gxc8tNzMhjH4FbhMCV8YQHxForK4JfnvQV7m23w3TwAvIXYboyUUAeXGuYJ+LzMVCOvMtjXgOWqIA/G0briqI+RcXhfXfVpDTY2XZ2PSzwfrBv+tKWdtPtfIPkNy7gzUfYClCwN08YZNLO95LU+vYkX3VYQ08DjgiW/Lw8SSBl6Uft0UNcgPa3dS3/PkfHi3gaMN0xOH0Rsd411D8ZIE3HOCNQe6bzFwLgi6g/+VYf9yuwC8HUxMNHGoPnDI7rjLD/XQ7WORT9WRQ+uKkHHQ9gncsHms9/M0ApWUHuUE3G+NPKY3Pwar2R7e91DtpzjieEDdTPbw/GuOb0CFgov4b/dhGKtyvCUjqhvsfx+dcyPP7SvvGU4W+CbF/5pGu8o5AbHovzuZWFrMgBhIZqaXSsgXO/gQ8uNMReEqBgK/NeWpmDBhP836ZuaOelZgn5voRdttEaHmknJAkmj6NZ03OvAD2lAv88ZD3vcetv3PsGPaLqGj8Jsz9zNiWoGM1KOS3qpPAa02fgO5Ae0pm2U4ytEEF/NzcV/JVcSFIAvhpU3F5GD0LuikwPjDNoK1yjQ9NOAXGE+rVC8NRs9TD3pxPL/l5C/xTf5IedBvogqTQz7pD/e/Z5HkbQXyWv15DCAGItJBj8BU0aygG47OBj9LlmQqXqHLNTNX9JqN+BhH0mm36TFZ+lsH2iPvlIYbHnY8K9AKPmg7pZhdPNe090JltSgMPFy1hQh1OA+/qnvugO3Y1aBnjrUkKNedBYgH//RAMXfKA3MgKvEWTFx7i2mYQ99uVu8TMKHMhjoHXoh5b1hP+/FQu2lEX2B6VlWTAcz/mowLdafw8E4hx2HNuKtRHacVJLm6WDOyrcjYOPCvKhOlX/avvvShb5nVHflgYFxlgMLwTCjlJM5OPmOFe6DvZ7V3QKh9i0GsaJFcx7J9HhwwVaEE1fl3ledufhs0GOKzxfI1PekoNR2Eu9yBOX/cpDNhR0bC2M3MITf0TH4MHD2xNg9mGnHorO9yrIfPK881TK8kBX48NZ4/m/L4wzYFjGc9bX6TBsqq+uVZj/MSdXDltf2rQtMzWL7+U1bwPwvSNMBxzM0/c9Y+1LQP5NH1RpX10vJ+687WZnYtXbJfP7aYKkzvEiPG3/eYhYhXq3cOKR8m/VmLh29EFvHe8/ug0K8Tenx8scPOc9JmbUsmP7uQJwa6nAHI48LBGt+ZTb8DhOWi4yNQHqlCbOe9Zo7+eMtKAldrMGY9oKD9FMf2cTM9s+GXutz754GWMyRfv/T5FvBcRnuvia+V9e2048Jy1jSD3Z4BVaZJvF8Bac+4sSraECe1BB5o7mMuTOugAP9vmwBNhb2+U8EStW49rdi8H4HEu3yXO3/zKAza9qLsvKwV9oZCsakF+KksVYog51YQBRzyScepKt73KLu4YInf+36zEx38eJ/Ot3gVWHbQ/ivd3vpP72rpdcTATyH0X6agXRlFJ/e88BG6czynk541kOlDmLvsDOEXoaQlxjfPtvgm233Ikn4KTZwpYn3F/baLE8LaqGrEFewzwEDPFjGe8rkyf0Qmek/KXd9/cG79mos2a6Ur2i2aFXyWjpomLeUmBaTvY9BZ9wGddWBCjPGLPEzLeWSgXbDE60fT1e3mAQOlK4NA6Ss7A/xx7zQP7Uw3NSxPBnub3CvRYZZMfcxacjxjyHrkmXBrezLlWQowxaCvum7lMZtYC5B7f1ICdzrNmxs+Yqw/KpreM69jMX6ZMDkn3da8dXJIxfuVlRHt5yS185Tv/p7Hm9QQMMxsR6NgvD9btBziOUw2gY3f8mw7YqUddYcFFjVqnGf3vo2N5zXlLTwN544Esml6m4mNmoEcJaDgb3unupSsb0xtJcQ/c+ggMcs7P8wDr84Zp+3Y6v9+N/woOia9c/iwFxHQRJ8BFvTTaW7hAvhwUL5mc4RveIZe6Tde45eAdMWsTc1+F3cvr7GvTuBzlRRslHS4VaGWQ4SF2pms2ygB20F6C0im1OvzWvoz6kxfxjRTG01OX6jm/HV00N+jrCvj7Ka35XtsIZCdozh7WxuLAd/BrvsMIGvjj9/7LUh+gYWK1+7cyy5upg38w88w5ogUa+JoMuiXoawOyUpKuX0EHhQcLFEtwW7CID9whpA63ZrZXBDnSpoDomUMic8b0OreB3HuDHOfBc9+StV9EwAMRxR4N+42ZvwaqIOUhgedLNkc7eMDaB3IlGPIu7I84Ac4XGt8ZyI/Gy9yuLCmrnQxYuKXHtT3XO/Rar/S046la40IB180KfYD4utRCosqR+9yJCe8Bx0J0ERES3I1F9pwhfkkkdb8mjtFEtlPv2jUJrUfiBMD7g1XQWABXPmQdyQj9v/kOsvBtESrjaTecPuYM1ntOfs/VUMiK4HeWCx0mmYx8yW3f+Ip+NDudZbCDTrs2qz62gVrbTIbbn1TI0tTdSP21Jrv+LnW2pOLPixs4dJtRO2bEMf1Ttk7Z5snPW1bmc6mAw+dax0knj2lEjKYATqbfSGCbWVYxYSQg+daG+Ds3zvuTd61NXGznnH/wcJtSF8E+DF61jlMV4J3BVqr9DQl4R0O2EaH3THYyI0OLRI/QwWYLxNC9ZtNO9AvwI6NKssXMs8OWHknRtqBfl5O4PUAzkf/8+aYPbLWIBMvrfH6vwngDGtIBnvqh+mnCw+VRAkYCVzmQ8wzrpYuS2QcyklRx0+dje8Rt7cbdOynF38nYPJPzDfIjtpt+WxqPa6zjM+TWO7BzR+Zb5w/nAd9h/YCHSKmC5smRpmzgI9N4TnrvYfrGZcGvoMY32XOrVb41cyU+RIG9WstzuZIj44SCFob9iTwKeHEKN6bGlxnfssb9m8cRmt5vYc6LubKBNwWw5sdsIGexC1wz/4+JbUl3aANZfa1X/4777TfwGc4CHiuTDxEmbJQxYBcT1A+Br0bl2G4gl3+yMLCaDhevM/NmlF0dLi7upZS7r0VE/jkPlgDzr4eIWgRcNDQ+7Semq5TZbuZgloZ6NXe6RPsd68tn1mkLdNeTR/uVw9/JolxVxGOi1YKRfNWzFdzcfVuTpOHDyRnqm4h8JrtWnkLLZSPaGE4p2fsGOOpbDrKNBzzPhmlojHcWVw4vviBmiD6FLeQgdE+YfoM1vgNXKPN+uf9/HuNHGsKqDv1ToHiV4svghkuBH3Izl4ThnvN25IUqgBt9Aw4t5u6OC76rOPbzvtwYC+aq4HnC9/eDYxcETbIaiakn2UPuM+fHL0+MTWLpDQ/5RfD2Dmv6TOz4wVfmnsa4bYL+SpA6gL7YMOpP3NG+EBeInzhUNh6qiLhN5B+4RTAb4zvEiDHZe8uBVzOGnpmF7pXtv+oPQQnrM+wNXdm6qh37VjM1ZtZk5to8APNzGbIFvvuUjf4MuD0mQbsTnHlpwAnu28n0tf3WwHM01oPyqhGl1TDbVadENsaFROR1Pv/bE8LDYKlDZsE+NbXHP7wA/rdmG2Hq+gNUMce+VK6653bwbCy2gE4n5UCqRiyHZrA2pzB+VNp4Hc59M0537rap3AG4DMuOD/ZrvYD9+yHg1/JbN84naepa6tAuT4WeVCGvNN/+VDamuQ6s0tp2cgAVs1MIfviYD6QQXH6mwePBELDTUDNVTDfleJR0bMWr9I1n6At7eSQhT2sM+dE69V6U2P6nDOPhYGVXaSdPzPpnvfvnlCu3gfuik9BH5fSgb4xfppem1Hge6wL38wZr3zlRieDdlnKnk2r4cpiYX1xU19HXWgXxB+0RPDfa4B3RoCMW/FvTtu1hfQkGnASufCG/vRwckRGwnHJ0fL57xPj89RPkt8yD2AwAn5+Q/zS39blycVhZ7fPF59NABvV5dqp+74HWBpLAAKmlUPA5VWiBjm+8Ux/LhMmlCdu++oBY62fDAXRqfH/HZJNSvTkN1h3g6SfR0sxGrYjFK4jFVOz467mMJ0tarfGOQtycOuB/sB+ku7+nUe8eHXjHA9G1XTqq+9rI3szFlFFa6LhypS4hFkjQ+jKEOOKtBhy4JREGTE0cFfJDDY8vu1cNzOymBZ/hGWZlE3O+wCEG4DfLcwOKCNMS3j+ecT73J9RWpiem7piZif0E3ndLOvVp+rzygOvcxTfYT0Xpqqrpp47S+C7GqSy1ftXp7dlAXGY8LVGbqN4rTc+jsmzgsPjOAxXlkJPhPQGXILHgOKrDNq0j35ztlsDzcBNiW5h4RxrwES9mtjlh3mTOAapwbmuxfWmHIXHjn8zy4C3Y3yxY0orqoezbFHdxm2m9KmdaaGin+aBLeP/r6WP7TEKeGV/hqo+d5Ln9xMHvWl9xyDW1AKTO76Cpyk0C2uO4/mmiTETZs3zegN9l98yRtO5kmyP9CesyJ9aWg35CR0cGTRFjHvErY5sNHpbPZoyPpyLZmJ4U0w8A2ONU1tc9Dct7JUrAXhvhMQP+185/z/XchnyEvCFui7Kse44QVR9bkCzIg3zrNVo5aUg2p/HikNGPaudhwZqDGtn6CXCTUqOfo71fcuASwLERNucpwJPYEN8Y0kfjF/vibPA9Hg3iFuXZw9zT8R1OlQt8aw02zZDBXuTsxBUVwjucQuCdHSjd//p07GSn+lPfG8+nttExq9z2fLS2b6Zv2cQmtZqHWuXrXHSFz8+lZeZNfN1LHUNuRlqd5yQByIW97FUU+cyycxLgpwws0KsAtYV6ENf43M5exWAdzV2BM81H6wGafduXgL9NoBzSkZ+8Vy9/NmTq7U3vGRZ7r+6lmSd/rpjNmN3iujc5DbjxroT9gLqTQIeMaYuIOcw08glwOwo4nIneeNHSWhtPPfSkkR83lmWDDrC5/eLYN8vMY6JmZqSNjb+/rDt+qUf/dtLlWkVtB3zRLgfLoU4clEP8VnKdmnOaCt5TZWrgRGBhPlVl79mgg/nv2bTxFWPTPhNmXmHzd+ebBssuE4tWvI1IF/dNuDe9tFduScCJCeLy/cEBawnjkP+wz4O5IoFKIYd4p92/R7JDmCPQmiH8v2u8AZZm7jtHwZGZvZ1mo371ZJnz/jEZzCxa1eed/yEQGcq1uWZdu5he/dNOOabOP6PyUYX4p+kUIuv+mkZqMHfbJMS9YvEPxIwL6/OQo38BdeLlPXAEB+XGw/p1bw5YecuG/V2OF+/3/K9AUxKCLl37K5A+2JccVwEKeG+nNdIlHgjPHW8PvDg0OMF0/INpf00ZOiaRP9aaEMFND6A5o2HWwfa/XzWB+S640mDrgA7PJFU74k775jkL1QcP+ZxztmvdjPq4GiZcWfjnVCgGudNUlT5UiNPGNT6nyBPBYzk6tgfx81u/cRKthnVvIRe++OHSDNs+ETiUzpwAd8alnmBftmfzThX8mbu8BC69Vz2KhYglRfJqfM2MH/7Bvix03D/Lzsyr4pYSOlLGk57GidwRh3Wtr4DTv3orEktFVcTuVaEqNUrYT9phbLGEnkrA92/F/X113malCEx/pKeKtoJ8uzm605MMk+nXA+G7fwD2/5Dw/ZFZ6jMPyI+psUpWZeeI/c2ULMV8K+32h2q9y5GZyeU9Ei4PsN6JGEDEQoyDTn4jkV+AmA5psL8KWDy86koWhhOjkY2XJ8RbmAsbM0dtcOTjfIjH2tQvWn9eBCPJ3wGr5w1dv2weTp9s1zts1d6J8rKJvrzSIbThnKa8/UnZlw3c+MoceUmRv9KwBQ2Fn8kgV2HujW3j2SyjfI1z7CjrCLmsEuwvV+aBuph+ndryAF/RpRm4k+Szh3corV1uZtGa2Xk77LTFqSduNQIHBbSG/WVRyDti5J95F/tMALui8ilt3+Za3vM1WDm7XE9cvvTyrFYMe/SykS7aN1Z5ry00E+M7fZ41aLCemLndoHEVSzaJsLuEWQ8ugAcVwUJcIoAjrryX34JCji6kaAp2J8zeS5fPeE2uQvzNDjbznL9LOz7mOk6l0MPBlW+gvTfU2n6cADcbJjvg5t9ck/bgvK/YQQ+1M/3zcaU6AKfV/wa9i3GwWBlDkaJfG9BUnhRTBkxyg7v+5cN5VW4MfJ3HwO8e1JqWys420lnaapzMPLbPqjcz8H59mJJsbR1aTG0ytE8VkovRsUlo/yQ74jFzR1JAzFjtB2jpTvTqowLlwdj0qu25gdb1iAYuRbHOOt/U9S3Z8+bCO7GyAiUsyCy8y+6nDt1UJDEPb/ZJAJ+nLVEDxsBzAzVOPh2mrtqpPayrWzqoTwIPchd54uf7q1bk2Kxf14MLWgWxhQqcgT6UfIg/pcYWXeWzooRWThs0Vvtg8L0k5K3jquHn/vNNlQ7O8ogDt2aAU0pI1LjZoDqIH+AHiUcBM198g+8ITRm8M+NDDBhCIvhOEU8qDjG9MmDygPDRZQUuGpk6PDYgc2d1xqt6Qpw7kId/jNdqjdRDrrhKxrjP1uZRscQqB43MzOa/uwBBPo/O9s3U9ojd3jV1s824fyRWb8lOdvlq+P3maWbHmHNs4B2L6RkB/WT8Ib9PHfA40DQp6N2q0GNuT8ecmcmKW0LHlhkceGEU8DFh9EGyIqfulfHa/qg5SeHPH7UTWPXz/Yr7h2eeU0akpEX8BKwGzqHvGeiMpG/up36pDs7Uk5UYb/gzH2PTd+HVYhaZi17P9cbtqUpWU+MCYtRGHofYN/Vh8Lvn2ok1cMBQCfSp7PY71/oNYt30aPzeb6fBdqqKKWa9LJJOtxXwkqyLXe7GDHI4PRm9HC6vfQjaDF/Tj+0thf1LHHupivgg+impdqQATNk0to7hMyoxorvc8RZbbXrq5VIOHDSp/cwj3Dd25iRmdt6IOrFDVW7xZ7rTbrqTA7Xs80unHCxkfL1HssqSOSgD/A7Yx8zk6gPv5w6sRyV665oJ7TWhtI+2T2WoA8hfmwolthqm39lwLJKZ6exKEP7mYu8qp6VHt3kSa/vydt6UZsajTYy144MBZz26sCPC+YOBpipNDY8bvwEPC8yd4cGJQXe2MQ7xZ/4x97ndOo1NYtOzD/EUHB0LtIg/18J0mOiFwPsB7f7ydr7mY7nSgtiJM60ikLkITH3Tok+68Sj9rxf6V+Oy39lUEMvvzqmQAeiLI/Cuqe4B98Xks0IdBMMORXyVTM1Ym3MfDng4v+6yEeDT4WCTPglxmVlxSbW8NCH3MsjToEcSKiYn36FjFXql6lsbuBvwi/ZWF4nN+vnwO0dw2C4V43Ft5rmEwLcLjf+bcWJBPvybJxWbnycMucR4izB0g73sNV3gnCJ9EAW5S0vGWW8Lpf1EcB+lEdnkDsllpI0Pe5kIKVnEv+th+Sb25HLg0MDHWzK0reEEoLFefb5BMgYLNz57ljZ3/FdC5Q+GHNbofs3G5kFd7P76DPccsma8B70icmcrTC2u8XLPYE+ZmSg8XDoVPhylmdOE9lxR+dbwmOY8ftWZY/h7rx62mjjt88Te73WoMWd4IsUF8K3dwT7IM55duetHGVVuM5J9Svk55X4JOq9MRg37Jk7NrNukkGauuKkFt4HzrKdhOSbuNL3uzSuHAJ+xqfGCEPm7S3t1aYr2iK34AvTZk/zf5kSTO2aPaz3uHePBD/gDuNEm+LklYozt066dQGciyf3vE8MtCbYFZrf7ibXDEVbnf8/1n7+o/gf5+OuehNMZeK1Fo382jvoN/ZjtUtgeDdCc9Nm1ivB0QpnVfLzDz3qe8QmpTb0RQk75fN9Ug9cyl13xOFnK1SXsK05G9dKwi0RtBLk3N77f8A6dOpgfp8CDVM+nxo2PeNQraO2A6mk1/gEnbXzfZc5NP7NlX83dtqnXEFqX+aivgMmHzMFnYk1u1X9d8aBfPVmZQoDLg4Zd75m+bo+NiZ1p/w1ikTcseQhNPk/DHPFhSQ+OKiqx5LBGwE+mFVtbYKztxIbEMedHLAyeVYQKoWOUsziGz4LnUy9frAA04jMxPl6Q6xLgEY3InsDLo4otn6y3b9IFvCuAuVOSsvByrdiUAA/6YMF0KYHLQVjdCOztfMT+cW2X2rIn4A5vNFLPvLcZ1f6LR1kNRXZjx7bxHFaRP6tdYEk7WUW0BzydYB/5I+5ih5o5tIP2AQvxaac9yKckDczdOdpJh7k14MzRbntmZuxSFHLTbaHllZvf/r96G4xaRwnL9AUdQMtLM99GfczZAdYh3+khG6cdh5gAzltKB/bHeYZcyk3PD2jef3aC/DKFDUvP78BVmjsf+dAATyxZK1P09WSWfN212ZWY7w2bIZ/MH5zZBR5iE/NmnqFTF2ZWt5wT4J44+LrWz1nij+2Qh3qfFf82gJUuvE/I91yeivgj4z5wk68n5AjQas3zpFWn3OnlffSsAw+476whv1tJP7e58PZ45xP4Dho0/5M7c8ui/UaOvce1fqbhghuTZ9jDPdpElC53mB0D70I57M9WdMyBvXczXrukl6Bx8WuOzxV0/Q/kh0KauevObcEDzoGf9+y89eWwPSam5sl4lIeb9cSnPeS3Meukp6IYVB/EqsVLbC3fCUO/3hPAQcpE40tNA6sCrCTOy2/55ibPd7ekwQqatTKeI6LTHu49vwokZAcenyKUHl3+hgfgqUH7fXRIdhqBKbpflmRb4+m6gTgzeeitBJYhWHCvOQesISvw0J96fPnAzJTrWGAuM9gbXSa8vs63P8Y3XwXbe8kAv0YMjOVraazLJrdM/Rwfcws9zEwqRckTdKVWul2B525UkHmE4g0ONIbHXJSWmgXtSxOFiePNNVcDE6RKgi/QIfLIrXIjwylv+h50pZktqWnu+ruSTdOpv62Ap4e8iIcGTXsq5AVidD7953/zDTkX4oLMCTWe37Ae/fvrvLdlKHtWxeVOVhTWa3w4OKRV/cKlo31O/YsKgBuNHJ+4qQOwNsCzjvC8OXG2FQlanBWtmYHegrZfaMFvpwFDTgKerlGcWWRh9t9dQJsbn1S2fLABC+n6fSUm0Wi2Qtb6VNycqbYVjZBFhsbjjl6ZM0dJsJ0Z2m8gp6UkmA7Vzt8cHa9kwmaJPX3LNT6eED6a5JoK8nqHt5q3LbZhi0fx7RTEXIrAa2BPVrs4SJEyfjWH2lFn4HIB6/FbprmA2L4nwBGpgLhkHPZSKzL7y+M0eZagr6lWHJtzEYvsjGZ+5a/GRj+5HZP8t/cfd0f38miiy6YOWnPPVKa0d8n53fQPuUnB9+WYPY3fvBjUDDzxQHV/P4V2J/M5zx27FWHslF17q5x5Ojp84B8vL4LbBu+0kGFj5fn2s+mAL0egB4f4g1N9Jl3v1ENsqsXvVFyAz/sped42KULy4Gys4wq4TwPgo2RixnsUkVQNG3jfegW0TnJrwRlFLw/k6BTJKz3f4Pd83f83NwQwv72VBRLAw2AL+qVEoGs1GpXtB+Z+Ox/mud755vzt2jit6T90Etgz8G6maocvpdOe6+KySrFNOX31p8xt7XBCwjllvYqbfNanoN0Dm31LaeI2H7dFRnLMXP9W2XEkaGbVfeaWwO14P99oiPd0zNbjSiCWb+7h1/+3WbiLSr6TRaan0HiUv7iNuXNhsEd5rx8J217THb+emGKQjwe+Q0iI5Se3zIyq+MKMlwPXFh76B0eqrzoiRMFjAvnuYJk6RmQDp2iZDRwcoYQyM1t0eT3XFfSv0cSpcnmcI5IYPgnv+gpc6nGibUktwNng5pRD6alwa+YEP8thv6ZCfh/X/i47jPAOR6CpKQ8mWL6bmzlI1hZ+5gXuMWDBC6Ow5lRx9iy7ZM1XttLO97Nef//Xo+N9C8S/8zB+O/Ua8QL9gL7oeeSnefHPnCdLWNOLKKa7Egs8E+7rXeymqHdgr1Sq8HO8a89/GCVsX/StxCEZcnF7AO9jlTkvHnHJUFs2wONk17iYa5Ii38+79sgLPYug9LCD7rSXZoYKgnxlUa2v0uq9rCM+8DeGORe0kK8ZT57iwPMgvDFHC+HBE9uTlVPtcIFF4sZhsvKiDm1fWvjeWMuUmJ8bQEQg/5tb8p6MwEt3JGhGfRT9MuagN0qhPpiFCN3psbbRS+thyeGZLGz2emT6otIdnmFvGM9fc87qUMq8ira8oqhouOwOjvwsnV+/+I6GLabO41EXpXt4bmdM4b1SzithfxwtfJVmNkwv+et8vhLb4mDru0DmvmDvVt0/y9QggUZYE9pagMczcMU34FY5cMegNH6VgTo05sxq3bu0w3sJ70Lp6YebeZLuVICuvQiuRD18uXSwX9r8jZpzJNgracg74FqbZtjm3Jw9uF93wPGPOlT2iaKNGIKFjuXz1Pmgre2O0v1KXD+taLyY+S+kwwFwbyZ65pU290Fr7TJn6x2d5q+HTnStDTjV18DZmtC74U4fSQQYXagIC9D2wzu8o34tizgvCwJc0fQh2FPiSpyyzQPeFfC6zMLmjmDIFgx8kdtxmjkkVoNnARd4rddduZBfh80d3lcHebZoEHYlUpu0kPDmMc80DiHWjBf8RybUzAvg77u4l+HjCrGzAOdOBezhUwjfpSvvYpfd5fjvd2YJ6OFcDH+eukNtk0m5LWoKf2IoxryL2xyZc94vJ0fSqsWyJiPgOnx+ORIGmujnlL9v2Oh/NA45EgaaqZ+ijKMpN3rXlcesJxzwQzcMFaX465V+5mEL3ASDDl2mE+TM0pEfpQ1ce90bX8+z4Ig0gYybnZmnTf4fVW/bpSivfA9/JR6k1/hyEAKixCHkAfIOiKsRAtJKK/Lp70pfx/797xdnXevM9LQSKrv2Tqp2BTlrM1zorhTa+A73uUjcajdDWuSPzNQNWr2Ziwf0azrSMQWt2L/ro26p27a8UJRHkjRRW2He7usO29Q297B/njKSJejZ7rC2pLL+uGfQRVxPG4Km00l438xuSW1NX2L8tOrRhwhjFmiksqSKlaK8UY7e/PCVI3+U0d1RY29XutWyU52ZuZrT5KoE/ic7csy7v07pbI8HV35BTNiK6+GU3x9SJCs35/Y2pk3Qb7Abbsz8lnxUYe3gjrpqkBC77/MocwdRGp/qYL8Rlz839vrzqCLcyaG0z6BJlVavlCnjP+KooXdTowkd/S2FnbJQCx63pm/zKYC3NqHxBwIu5iz4CGwY90t0pvrt+/0C7mHqAYsq2lLCtvtq1AnulJnFOXHI4VL/3AGtNVP+eehvBzuxSAhaJ5yPOds/1QjvEvl33uMdd9pNLq7uuZg+lItYGm2Xyprfd9mLZMsNuPM/UfhrZbenXMs+7fZ21uMk1Waujrwoq/2gAudnwDMVJDduwc4VUytj9VXb3IM8c6MOdhor+YaMRIA3Mlh73AxLy9bfue0O5LPjWShzfvtUCJk67uTM0FfVZTfja4t380detPuq8EciyKyszAbdzKho1zrEr9r2v8o+tUCnrHS4bkob+bBXWgp5SCENmlq/cT6qIMdVQ2Mpa7tQlOxPgicHS36YGUvATYKj7eNz9/k8M/sDuIvFbI6roM1UJ4+g/zvgh6HxxwX8A4zZzoItT4LIdB6SA3WTohbqXTuXMwRaSJDvcrjfssF4sOIsdVUlNDrmEX7SwXrUkEOAGxTAJ2waTYnpg6xNjRnEy/G1HQjyUT14m2q4QvR9vlJNumZtcyx6M6/4XduTiMt2PIc6pcPzdqJyZLF8CS0rgeRHHbBNxUNz9hazEBPG0gfJ54xFOD2u5h6/9OSqU9z/8c5aLmWvee6iiwhbiEiI+85vWTH9DzfuNugIMwtxZcjPKLNfpk4atGAoClxSDjzOxl01IiatrSXDFtYh2TW2X5zZ1sw7lcB7JBm8o/HYV0gdeNeujZsEoP//nUec0nD7zinruVA2jYF/x5iTlZd0VTOB78wj9HOnfBLWy9wF8+i+mFiBPc6InUwVgpzXZcbHZl+PvZNac5AO4S3Tan907IkPMzo66n4KP99eBGldgBaipp9L3gnrnR+tXCTX2ugEzb9Psb5m9nRPY41zQDsayx50SV/zCXLQVKSFb3y5FxWQV+2C6qfS3H0TwdQVeMEGcvs7f0GMkhvwmEseTm4dNlZVKOCQqScLBO/lukkDH6eBTI6rP2WC3/MeRay/e2fIiU1RWgcnXSvRPGkAGh61zlmgTaPLRx37M+mTY81+e6XjrMNHWL2k6YHn0Hao+xneEIH1luk5tBegTwFlepO6fHdiNjMeytj99AgKn/B+w6xQxHj1nBGpqC3vsBYFGVuNBXAYNk+godPfnLJKW0Yz5xqlcpgk6PpeDOaOWjnEmgLgsHM+tGPJAFM5CkHb5nmfLCauZQwawdV7Bc8lBOwVmt5EXD6x/pmJsiNI38nA3np5rENl/ISOUrAbjtrvKlqu1PiMdBgCE59+5mi5yQLo3qXj5FB4b+UAWiHQgJX75XzZEshI6f9qI5NTmDwV8PFTIHPTr9Wg8tfrvlmxmd3hH62tA7vrdu5Bv4UobgoZCqqZyav/mwtuahwxd9tbOSjChm1MV2586C6gW3yT3xnHB2yVLo2nrukB3/jVomh6a6LXf/0lifFkKwnsXWU8upz9IovEhTxn8lCVh8nG1MUCv/93NjV1aL/UEf5iVvJQgw34nBSgb0fgN4Vg3pxetjPt9AaHtnew2ndOoebcMIe9nAnsqTGZIO42cvB8Zs5OENqcRbrU/HorOzJAXnwdrXau6d475/OQD0tZX/54EpX2KWg57/ySO2QSYptg2NFnTv4d1vJ9HjXiyD5kNq9Sx5yDZ07jTjO27jZFejm4zU32bdwAt20YkSqcXdA9Jzk8bdAk+3OEYhq0xTkKH3QHtJenj4YniBU+8Cr0kbOkZE7y3ss3wOMo6+0X7L+l7vY3XrSIRQSUgBfL1Y8rjS8cyRftpxV0Bug5yUv4udzCrNSfzzom/dFZHHLZ0tROxsze28Ths9F4+Yji/0frXaphuz8YbQo8Xb7m/blTsFa4PCFyMfpRRhxifJrTjvR5ARoa/j2j+p9ygL842MypuTQx3zNmg1afr5W1fYmCZDmoj4OTCOnI93PZpWtmX7RXDHFGR+Az/fQiQpt+d34OeQK4RzLg/xB7MnUmTagfpLAGwA5Co2+aGN9r46XWha4yfWyMP5hLNB2I8R255Uz9zhqT5hzcJQjeWVe75J66oHFDOZ4H+6ii5NvM+MV6GhVqI9BiTx4pAXke9ji3ai5P9TBNB9d4gxh8lxx3qJCwT5jeP6rh7pbjr58eqCvuwl4KDmvykjYP0pF40rIdDDh2op+3ShDMg7/eGfhDxpIMWNgDU3QHTjjXEbPPw5RKC3RTcXVIePdYqD6MJ/Up+FxNT76gb9+eOSvdvZnfe2MAc5CXvLJ/brDVcom46U9ecJjoHN5NHhLJx+yFnSWuXR3BPjDenB9no33hd5/hf5i1jPbe7fj644I+zcpeptha3l5wdjUS2TDd4lieQBOtdeDfcp5MObvfAHv7VOieroDJgeRmzl/a/69mwv2pnWsJQm3dk/t5aBdzxsNdtjnFoEH1FOb8Cjr6PUvi/qidKYPc7OPX9kIEWpTYhrB/N6mQgPtkV69c1Kte8iF9gPaKYe8uvNs/8hCVP/clVF9l7/Uqng6CkZQ6wFa0LmmgPrI+gfz32zdKas6euZ1kZ63MPCHg6egEOovna/kCDE2z1bcaJ6EpSo5Ky6SKFKZiSiCfWxzxiAJnwwFnsM8zCjGUhsupCb0o1QhUjk7Kcf8+Mx8olXPlyivu+yfkgUfJSSxMfWooy9xGJdN+emIe5P/mAULH9ApeS9p4oHEZH9os6/g35JuvvEi988jjdEBWHkHEDUgyJGHdlvcd4j/G94sZVdBYDPgDv8rIfuVBaOLpRKLJkeHygDyAc+C2PLK/VL89lR0GDGTwd9tORqSXu+2e9M8H5BNRa2Tq8SxhvDWi2Sq1fN9xlGfhhYxiWKdlPe22H8D3PAkaQo6o52MIWiB5NYP0SFQ+Mg48IN862PQux2ojOrWrePNMV/9otBq8w2caeStzEyG475xCzACH3mdEA2gpeN55BC1tnQNAnS7cQM78J7X+d7ASP430hlhaNh25NAzH6douuAcc78mEw21AexxVwCtTM+shQhVZ2auOkxmzrS4Hy27G31qsZwp6G8f+UgvA8V7+1MdXvdlvwKlpS0G35Kz3MhCxhybceqnY26mePmjfLHJAPTFzmOzpSmiSmbP1UyRFzXsXNMPInc2z1on8P03UP0moR2JPBR6yTR62e9C/X8C7c1O/1Yw8Ojpb+EYJEzQ5NWIqAYdAL7Xd0fESLBbjBXZqrP4FumNDremQiS1iQi8NSk5mJuabH5Ko7bib9ICFwXkwdeRqLztcpq6Wsi+XamxjIhRgMOChmZPe8TkNkglbyV652sw5eKYWMfUDfanVLC7zfz41kZLckjvzjv73WaJxpnvpgr4fCDn3hNDeegKGRDgIN81uq/Oot8p87qTxABhVKQbgc05iQ8wcATuBw5Y3iPWXuf9RRbL83PsZfRVfH02gjudwemsiSSzip510If8WvCMV4BMW8ecj03qXDZmH+09L9tuQx7hgTHpHW61Ha7PKEVfMsvdV9/dWivkrs5O2MfPeRwIcyf9XD5sVD4hm9m9PVnZ09P7oqpENtjZ8jo0k5NZ9zY2DwkoSOoQ26ErjQb1Jre03ibwwff1ZsFNuSnh3R2cOz2aVAlj+qDT1QxvKuakn0KAdYnX58zsvG7jzBx+WXoTbkkdblO+2bg5/D2tgn8e/D8Kua21jYr4vH5OKjm0F8bYo42vNySHdbb3DGgLG4++j29uwj3fKnK2DjhO7bQm89xcPWa/GFPRMRXFbatKCPjYzUL6qtfWUy7XS/qOK0me5yr16zQzDarPRv9SBejXB58954/+vLpbNgdTYE6HRVaGZif7rqQvcJKQWYPPIc3hrFIfXJ3x+KQeNcKwlcJolLdCdu3oyHF+Ei4cZminodeCvZsZkkFKV4OEOvwswJPi7lg7wV5uX5t6A578+Zl88xIMK2iu3AJ+FPR3scgPYvf6coXYyICwRWa8jyIEuvHXT41tm+tPlQ+/UmgvjXwRYNEtrpnjUfjaQ7OCUxg9800CuEYP39lpcgTvNEBOwJv4L8GylTLlZf12B53woYdNTkZlZE6MSSU+L/a0eJAbNklZdZikbzWk453WXWLXAXz91mTY6MLFx8kFHp8je1+Hy5vNfaTQj0EQt6NB/sG5rA/uFR1NbdurSaH1hwvuC/RrjgC0Nb6k5B8sH0J6jmirQPE2IbsDP79moA+DQJO3vC2YkkL3tVRD1pivkfU+EQyXPffOsgAOeIgy6yXbkAL8XeFTZX60S9tIpmjXgvytXZbEhWU4MVYBXDjzFrYp1V9oakHkLOv7v42CjkxpLNy32HkOfC+Dj9+/+WlvjcwHcVd8aZ7/Wo/wGTYkaoaw0JH5TEFc6e+BOCriM/hYdvp/ZhCp4Nc2wNb4qvaJqaGj/aBwJOu5zOUd8TYftDgf6VYXsPStzrcxcma73MG9PskMncxeamrmyYztg4X3Xgx3nuz+wxxLYAyTlIbuxOHVllHlHM28ylk4VY9g3ZE2DEPS2sk3vRs2Mt7kxTGzeMW+8J4U5s69sVZS6fdUBXtMx4TTYu6IDTgQx/J6hYebAYXfapSHoGDF9nOEd5Ze7XZra4HAmsDfNbLzbKfDjnKEI8nBe9u37rs0+oRbw1Ps6Fzo/FYCzloacZz3kOI2UmzMPArE32YItg0L6CLkanmfmUhifpdlXjn1Sts6JOwFiT1bjIg64MOdOy87mvML6rcdO4Wcu2NEL8LZOhsm95mpKEZ5yPSViUGkOeb+iendGMsu1nIy3FcTbkgIWn5Gfwbpf616BrkJh7uJb7XhLE+LEzD9OWdKJ8fcuYPnRQsbrQ5i5P9cn5IsS9uRFFHhpaPlq+umYxlNufHJJmFDIoylb9Q721pU5CEO8LoyWSx1qDVreB31oxmo55dDbwHrYOSRvz2oLOOeXEsuu6VMXU38+IdA44/WRI/Y8BdoDHkVJIQcpuHdcMfB55VKju8arnY7Zs9rdbRnpJKOh8aLKQQc9mKVnHu8fZxa6sFdO7zhMGXqQfvlKQQ+ojr1+7uw7/e+4qpzs/sA+wBbwOHqKpoUFeEqHOWQFCephAb5QPnHRPCQlj2ZYILeRtgG+mo+mD4rwdDQ+Y+TNRc3e0BypTQoxxPLtq4L9VHbcb6JtXxUatA2ylZsUZzPjLg4dk4ub/u6wQoLW31qkRw/O7gt30AX4J837GQFHWYlonv/VoeN3vQ3LzbmAmUXv2BMTiJ7DJMt7/U1GqVXfPgVSe2W8uyJufu5BAdPMLAm2tr7pnT8XxM5XlaYOv4AWHP/z5W8JsXsrd+YXRr/zvyI86LJ5zSTVcqiiRJ4LXp6LiZaD950OPKUFNjNozXzmjkcW6OYZ1a66V8DnzDwj0LcJC/m3GKY98G3QMXxTduigekUYRVPGf+vMQ2F4sDu1MiQbjqY4zQEjtT4yjhM2zLhmal+FsspD+3IeNrYskm+jOxubQ/xy2/Q1MW3y6P2RWlw2vbIh58A7UTeBiENp8u4ZSWHdw59au/Gn3plnTksaLkntPDcK8eXEpZ3Szxd3dAzvLa2Y0sxqrznykemJq5hd8LgN8uLzmQdYloPWNfr0VIct7kybNMJvPr8TRbmUazJgZOocUZky0DojfHejCsyspVAP5YqfwPPg3Zv+8+sDtKaZLfPIgXdSTWYR8x0gG2Av/5mfA1wEdHS5AX73na6/vFc3gOuZIEE1AjcLJ9D82xWe/ct4G2X670M63k6wKTQ1l9h41cd7T3DI8lHinCBzc45FNsihcXo36zJX2s0NtH6h/vP+Gw4u/j9daZFMwucBz2Vi5F9mVp2k/gH0QymRjBph7rpRz5xtBXkEPmX6Vrq9l9y/nQq+4iJ9mnk4PErCsmgvbGSPdO1vMjYTWu2QhOE7L58IB64AuisX2+vBafOzaBYRelVuJQ/YM3npZKB50D+zT3LGE9FpnI/oxazPRYY95PAtB461NtbipaO2m37BeOSwvj/zQ1+5q9/3ej7tSQmat+PjZGMH20L7ecX3oJI9vzI+B257lChxIKu/Kiv1aHQ1/aAx7vVC3ATVznatrG0BGnbCXH+ZMxJVtKAtmheh0pHaf9cE9ufY+I7okdnYz8UcCHZ3gFsRacFeibbGh91jUbNABrMEml6Qo2w+2LfUmu+sQJEszPkf6UVH5ga1E2i+TDlAOUArM8tyVW+/65bDnOsDG3VCONqQYU45J3vAmlsKOaYJEID60sN+mtJV7qouOclQPSF/xE0MutYh8JlkSrV/OgXNas5ZDL6W1pbBejP8+rMxfhZvjILvjppBbzIGcZfPA+SItKbyycP2cgC6mNLsZvr6GfJXAZoFuFPGIikF29+Oq5l5SDzQGy8R+Poc4hvj0pzf36W+2njYPBSf3vUAoAWWjypGcwM872dee9jSWreDpMlAg+YhgraD3FXIgq04ujoqbL8Af2Maon9V3LpnplDJllnB3zNkOAT6PrxAU9uJC/Hl5/Tz13euGlRJgZMA3whM7U+DgPX3oJeBaxB4Ztg7BXDzh4w+Tb3bF3NxADrvQ4reUQ7ollh+kEH3LPJukBRciQgnvekRbH0C8cHd3/lfN9AUTla0PvCDS9WlTgaxza0EpC2n2eiXBN6ttIDLMD4xC6c8YLZkiZ25EI9c7/7reURmpjLnA7xjh+xK6/PVOIt9htVpwvecrDs8g5c1WgmmG5fYulQ9P4IWi4928n2i7Qi6tTf1N7mD0iqyR+CDMYE4p1HqKBenZZ/egB3awIshZ+kbs4yvTntkxgeQ2a3JwW+MOhfKr4q/XmazF6dJlbLtylf9RVfQ++4EnD75zmNt+lMedYEo5NFFxvtN3SeIGS81eM8k3N7yYeLn0D5INofABTIze1sIk1v5m0e98tdsV5ZtAe+8AG9Ls94+Vkh/5UG2YNh759i/U5YcIKO/Kmc71da8HGzgAr1HcUGAi7SOYgnEfeoBL73IOLQa423dJd9inKw83r8xyiUxHpi4OiLau6n43BhNyjq1AywF3NegO9sPUzd1sEBHin5DjT9Op64n3tg5xVU1+jflInhHsD8thLI+4aWGLC3u3rlLjSfwW1e+IJ/bpxjfZNcmVJQP49OeFzgWsTS9TN/n8dPJjJdJOLkNs58imobSzJakkPc7HAGOb6pYrgdXt6Wz8c79/gX6QACGZ9Vq+tD+n/qNYsKl7Zu+3sHowFNU3o6O/KknbJzroiK+J71eq3DacRt11MIhXhOX2eWaFqpk43RRzoSwtU3SsHG5iyLuJnfC/edJeJVxmXifEZWc31Mzr9PV//ioBexbQUL7BHxv5aDH2DA9Zdgu5xEwiFmPhvENhfxKgEpAPm1Z386pJY95uLHFsDceGrgKQT8MWsB+A1339qq635rO1Jy2X6X2OxE0r7rXqEG6pQHvsmHOIQ4LDpyYRYSRyJxjJgK4tKgE6A62LObMkoImkOH++TNP78dDEQneYyl78oQ1ecfGzsyIItb+KdFUZh35ooHcgQp+EKdda+P7GbegGdo7aHheB+HL5GERyaUaQP24aJPHipyCfhFcempIdiImTDDMc426xjLzaH7re+PSam1p6ud/ZjEkLemBk5h5MEW6nLUeKP37osPU4nFv19Fi7oPak/jj1npqIc9/n4SC98YBZyczWCnKxDYyHhzmPdXo6pTj79ylSyZmyK/ls+6lD3rO+BhIeKZnxaeYWQw4iMyNJ00eqhxH/Nnks5MH/reIkDlf8U5RCHyVgeYioK9D4G+A24VkOEZBPgJrd7Zv3GCNmUNm5rNaiw95Z08tUqTd3qlBdkjQW2fNbhBjUSpmyUP0xG6CQb9VjTPJgw28LVpiyo1fkDSaNas1Bh30d4U8X+AVP0rG3+e98D4hn7DlIoXsajfxcPi8wT4CLPrp0fFg73WA4cCdjFdKtsoRJWeIsdLFcYo+X6k9PU2tl/E6BI2U0BBwf5y6JuSg75/P7P/85wtAtBY4xiW3IHcMdtVE+lIDFqeCVBx0zykAXSEWCzCZKAvUdyFfgiabxjX35/KnF4PahPDic4F3/U1A68Dbs0+F1MCOHVz83t185670gC8OApgwAeSuRTtLk4XCP161217TEOKg4Bl7zYw6+B9o9Q4P/E7DJTjFgAvdX48j7DOugfuxH59b4K9X43MuxlYS6/fuRtQ74Ow8cYGvfgjQbgdnPkB+Bd1sLcqGPMSnUFGtVZCaudtOZt0fjCVJBpFHA8BcNl1rAZjGkxOPNlY+mPmwi5WNf73UgtgY9bs/5flzNyaWYzPwsrGupv5ScNf0M0oBfMHk1UlBDi4L/0rMDD7HvlOhqZk3SWM/zEED1ML2a0fZBOI9d7bxGU1PMmwBVfXtrNV7L6d1pCWgwpNE8K8tDBpG82pkoJ2MLysRoKlsJTigLHuAhg7PY+uygJn5fRscbr+Yw3Mef97yiDhV0IP2NTX9n0sjZN+s3AEe9p7LeZOCDIKpO8TEYOayp4DDteZajIAlsW9mu5RnCjgXzSNgYwxxkXBrO9B+sxydpydNjWQH78/cyYcamVpyMxu4iUjWRPsl1fx93puJ+O+GcZ8QhkLY/zTnQE4G0qcse5bi+uQD7NNQczWiHWhgdEb+YGYTQ4b6Ry3vdHSuLwV8i16M79nmJkPrcTAaXtins/YZxPl7L5v4pJCvbVNHlFt/HoCBneSYAQ/Paf7HwoiXIkahmalExtLMZjZryrlDopS1AWXtBgftgIvr47jyDPb3B3CVe2p9PhtOvkAzv88cFinUPi/UEfA/L8W2g/eQ5wjlJCo3csUO5Omew7MfQOMztLdYCOs3tt9yILkq9B50sQ37Pk2ZnOpVnxphLWWvFhVCLkJtxv/P487LHMny4O+D9RtPhPA7rM36M7eUbYNSS1pDjq2R4tyStqC8k0wjzNtEaAlPN8WZqYHolQe6+kKKT+Pv/2oC/YJYP5Vu9mrEr4/0msFvyWjyVNHTwmYOJWhQ7pYe1uqfpDxtEHnlIy9+aosjW6bMu4OWPjbODNrNepbGHyi8rthV7WElQTa2uDaz4TmfAZsvQrdvjLoDLv+rx6s565LmPlzAnuBCf7OAfNfRdgId7eQIhyIkDkPqBvsR8q+din551HZ4y5E6mF7kdARd4eIPbE8nHLK1LPaOCKU2MxPeZw7A4/3GCm+SbY8KtBofpY0L2ZciqbCZ4eOUGwxa9WijCjRTpgYPOLqaeNzYZ4FazHQixXOVBuv6OaR2A7vacAkbnXb3W+Y0716zb7wz3qm2rbp2ZZywE/Bntdve893Wq3oyHF1eCUB1FVoLtxrrYCUsfQFWAt+tXB6nXJUizFY6AD/OgQOuyZ4F7TctfEbXT3Nn9/r/65T/1QAKD3S7bCuub3mnbdiTH6dQhVnHZ9jDj5Ljidh+mjkKYkMJ0aNbM7b3NN/amPuPKsAD7FO/Gayl6rcfJVfyYLXvvZyYXjDQdEkdM5eEvUsLhcsVwz5sS9WZvnYVlBxylJiNl84A67NPh713dEqvdHV2opAXQzyVHLgaRVNFk0O5tiu1nnYaTx4N9PtO6nCwZocWbQC851jZiErrvjH366Bf5oyytXL4JgXcqYNkxCuyasu7y/XvxszbbWzmAu9fS2t60Xg6nPnVKm15wpftUsc+5W7/Yq5+cxshXVLVkbrBszs8SA0eujgE/mm4P9ffGLSH7HDABQrPTD7VSHLe6xL4P1ZxgpWTQC6aFkJ1CM8/Eb43/b9PEm4WwewRctxbV4YKyQvoJ09Fyy2FTEN77QlkfLBtyqJEZPb0RfVk7ug+qsvdqorp47TbYlMH/l9/3UJVJDPZybUZS/ewanjnjX1iJD6hxskEfnvB7Qw3qVc1KZ46P14fXN6riHyLLilAPw5ph6xKS+Da7cw1rH844bxPjJ9NTMLQgb3Qwh4TlT0lzN4/eQ/8f1QDG8guZSXg1e9ZirnhppSXS9ahbzK2M+hx58STjzSQpzyaNpWlfciP1jlQFiv8sh6ma2Y8JzuixZCY2UYLpqkthfdBR3mkLvnm5o7LRhPs60uur+/zDadcFUnDJGAD8oE3ObX1c8+e5YHy8sLUbZGP/80o4XjwSLr2D9g/uOoyV61tmzqpSwPI9QxNZs6IjPgqd9t/XO+NDqAlb993Uj3kjozZsP9Y0sku2bDQi8+gvinTV+ZMQ3qZOaz6gl2OT4GPIbdbpZvcSgcbjVPS2Mxy499NBAl52NjYWVxs6k5XsoFfvKuiX3/RONU+aKy/639zXnzAV2mJUftcbOey15bxKWwi9Q0xfFN928PzWiLaZtXIrzxODg1gEoX15OHESYH2xEq8cxAaT+c27VssRv/NAeyGwvfdzUsz7h8ksue0097R9q9n1IKm1D1wMcgb0xXyYWC6g0SEB8CHiyp8WO22O3OTC3RVj6mHi2RVwsvrte2xjYBgoisHzvXGqEa0DHi/5LDrcS9fCrIHjgBnen5iTCalOVcDTc4YIEyEHxAz1wqYadovtxIU3zn4mY8YUchHlKNHM2aPmjPg6Lg1s2vp+PZzmKfUUROzMeyMtiRMhjUjrXS8Z44gRjr+Igj1Zi495M1dA38Pz2HnZu5MzMuUzY+UyxbH4eP4mpdTwPXR1ivk9gGixfhjeyni7zv6r8bhhMafTh4D/3f/PqT1x6k0uaWjQmddmllhgzS+vvHf58GdQOenrzwu18ySXuVOlIageW3gD5A7s95mxNZj2m9DyNO9DJjBiHed+RP48enwujvYuT5PtHfqcHszPS/NZT6CjndY2ILG32bNT6/enw1k6AfE4loN7Uxoq2WR8NzJHvkwe5ICP7EgN6/IA8RPanOHtb5nPd9vh7V0q047gLVJs8qgXCGCLY8BTx5hb+Fc8zzr70/aS9iv9pHBM1aAY/C9Y6XbtNZJj2nrCdD7547Zeb/t4PvNzJkrws28CPl//Sk0cysX+cD/KAVNxF0MGKZ81ZM1G0GxDnqBWK9OkWol5FnyX3/jVwa558fgl5ralclJ+89XCcEB+XQB3dOlg943XVuYWHzHRi6IAC6Em0LTbNheIGcU9eov2FbA0cilYtJ4eAP3sdc0sj+4g9ipQJeGS3Pn+Kq68EWBL+XhLI02rEafc7dxQffeWPhp5gq+7wL+YbF3a/sK/KVZSxY6pWiPoEdcRtF8juZnGlku/P6MD0mcCeMLMe0zs7qW55+H0GVDYpl5XSlogFS0MR36VzWYWRF60zAP1a/tG+cpaEGW9RjeS/usEbEBc2YcqJE6wEHsFHJvaUkE+SxSMWhXwnrg9db2WDK5bwI1AMdyAefHkrZH49NZCaIhbqVAn+uZJ7rp8DvmfbV+bpT152cmltRqDziFRKgt48l0NrNLx7bkNJkx5OEzYqC9/Q+gFI7xKq3H9it9zRi011cJekHBPqbCHo4WmkEnfqVrO6SU/9ZVMnG3D9bGy6Pl1AAMHtYe9hQmoDpckc/HNMZPRVuWr2Q8mzPWuL0Cz8EkMDNAp13GZtPPPROnfUAe3593f4xnwymPPz0STZiP7dv3O68GRVlBHqe4PamAX1OByxNVNg4XU3P8qnu8o4hYR6v0mpjEzXDfkFXasDbkbOa8wx5SZv5d7+0aSl6w961T9MfNg+zFCh0bb6t3fVRjzZu8bx/SNndVPGEa/xNiOyozQ9gqX6B5owYpxFZ9I4D5mfXpVcZrYs3WBiWJGLYT5D9SWxvjCXYpX1u7HLKbctsg7cnFeGu9dWUqsltJkw8s5AFz41GHP9IBkxSRnPUSPhsdCe8XYv9g6c8dP6FkrruWcGfaEdA3eeGj2lYTCee2WtFXI/gOYu5ZhfpfxtM3B4hP3P8HcSFBz0kmIICM/6gA3TFMs4zaWGrIUSHCNdMiD9VS5vOmcZI9fc1ODWvJf7yK0Z0U5v7sCfraYHly/NHXkCvNrNnfe4dhwebMOI20dXTlxmh37Javek2KM4Ln1Kkj49JNBYc12gPHJh8HJ1mAvSwnIfcHx/z7ZQR8oEygw3++F7AOFpYiTJ28/50lcW9MX5ctjQ/+I2UA1GH2wr1n/KmAs7VJjVpP6r9Loz9vLG435932W1kakcj0ky/lmbGltPEK+VXQlUvGEXCh1qdsynmQHLJi/649mI+vP4sIQN+amdeXu03yP7cqXNaDQ3LAokoxHBNbmf7q18FajjRO0NFK1uMK3GYobxmfHKV9RJzyUbF2OEXAsy5/4M8lYCVgxPrba+ZUw3zPRXLFhTJ5aKY2exwdBPqkDX/6LX7qP8z8PMvCDu/OVMe5DXi5tgL+/yTdyVcOevER/WPjFOUFjqpC3jKrgRxv6jLJm2Ov5RCa+QZlze7WT81AKP+ry//RpO1Pz33NJ690tsY39YPafDV3ff95iT2fIkr0KVBEherObO0RR9+O1t5gPknH3jnFvzMKX5kLOr6QeYOMt67d0khe8n7K8iH54iG6CDP72/rpNzioeDryiPQcchML8SlzphwH/crGNpVGEznGQ1llLFo4o77PLzNj1vx/vZzAi0FDGk/nB0OylWHy5IN9B3q0MHhf/50X/V2otd/IuLWbvnyqIrRTK3umdsth/wngwDGNQOuEVwey8oNFm01GzVze8CXy7Tt/tRXIeojVqOZ8Adz+qkSzKleWufv3WQ/4BBwspIg9zmNSnEBEpGz7zaMJpb23liNwkZ6neejdUpvE5TChmj09OZCvg4U8aW0/mmh643xVMuO5TQ6NmbtNe/ccqvQcya8UTRsselCtqSdCC57HA2xuc8DwETgMzSz7amZkgab6Frv50sR/1xPTED3AWwfPUZS0xGr38NnvWixPUZSy+O9DdcqD+Ng03H8dbJ+Blt3n4cbh0eyf2PJVIUwZx/QUAtYJyDHCAr6u8mpVsRBTbPwb4D1/NEHmpR3s5ULaqY2+ZaHeM01ejT2tgIGnsrcvFfXDaiydKm6/5GjyBM5OsPbAjbxaIJZTdCrtT3MvYZ+jpFJILSekNgL4FONTXgN/Y5bO8hDNxusNoJwCJv6eA7B8G2Q29nnvsSruX+dB2wcXsos9lbmZ8WyXt1Ps/5M9Skmgn41lvB6WgtnXpR6SxynCZmK9mQJ55xYhCrVpHqDc6OFSAP7Sz/dn5cT1SS6QS5F6cZa+BP27nLUvIBYhV2TPcz+5eaj70lpu0py7WYlV6vAlx6slC7TUfP+sdetXYgpOCD0l+7Q4rB4N5T/glJBn/d8as5rifeMCs4gT40HlUl2+pEVOkAtBm/kC1qTgYZKAnr9SyzuaOyIqri4ZfYua+iThzbmd5Gem9kLwJe0w8F5mi0CfshGfKjG/64gCc756HrYhiz+XzDF+/vohYoSasD2WQ3slUb82cWLut65Zz4esn3Zn3tqgwUY18qrq747qzSxApBlg4blodwwSrgilR0HTgBZ517OtBkH+qyHbu+dRQ85NTf9yViHyce5704e4Ow/9WvbJHjB64KP8EManMtRhlW8vWT93NTx5FV/XU3h9nvXePhXkXg98OI/tRjn2m7O5xg8V9zPEW/M8RaVVdZ8bvraQLyYnG5JJWklAHdACMco5kyUb5VcdWQvEWYwdyOem171DkxAW8AXe105yx1wVprccuMqdueTt6fQvD9sJ1uVuehhz4A1CoBh051QjvrLB+CAteW7qzix1ErHMTc+y8ZPJhuXKOSh74wET48M5wnkaLsZX+KEC9Pjxvi/MjIHkfQbbNdFCz4CHaZB6FVAAU89ea36sAn8HOtbMT8IUdOlPT7kjexL7oHeyhYXTiWj/RAfvm5iZqgPqaod8iWE+VassUkbg9/MJR9PwPo9qxGRmJ/4D3ZieqboLwbx04DELOa44JpnQO8zJF3Clguy2jxzijvebjaR7m9PPNXWekElhh/FPJwUVL1DoKHaHmP/prb5x8fmO+R50zYGEkPMt2KuaZ4A9N+Dtx7z3Ql4kLimmAgvbq6LG+HehoxPapt8FsEGyDtmk/3yqOHSbLhnqoFlSq3WoTaLGQfAv+MyAv7/PvtIOxUw0z7IgeW5LWttyahz8lTskxfF+AT0NWm6ipTb12tkGMv8xL9rIeCuVva4IYBAR6hvyL8usBIiemXuvg6ZA14opUg7L+47D4PtJRltOgp/+f9EUPBJaftcuv+HAj1Xgc9MtUltqUwn1Av4OWq20D8DZmk5NJSdMsWWhLmiTCP1rqExL00/GljnrWkbi5O3noJUGfo3wynr0xUb8g9NnSjjoYBe0z3wKt3sScCyZ+seCliszK8LFtAnth3KWg/GNIqOeRaxdBnjIf2bNKeMH8YL9AWv9+e4pBj3cuBVjgM/zrhz1zxylyrk7dSc18MUKa3nDUfJBI4JgbeK8UM+6/7RPYrorl+emhl1odcWhCoBjPzjokBQwwNwJES5jwd6zkGaSc0IkmxihaC+AN6sQP80MWNBHhRj9TrA2evvemmeoAz7/zIcdWzOZ66OJGxs0QsuRHlS3d0Whs2qc8I9vXJCMxpHgf5/Fa7dlzG1ABzUv0ztPrLkFJgUKCPe5q/4RJL8x8JnKbR0zHxv2fkpHeZEBqJiw/VBBYu4YC+boTenKjtrtkWhgp5TnItx+Vx1O33UpLG42tIMEH1oLi5K+YtlSabKTg0I09AADSuP3esW2yVU8KykZ+JrZR2e+QgyuShAv73zIL/hy2m2TygH9CTGL+20McfMz5+J/z2WfeBs3YgHe1ObGD7nq5YnQFivgAIzKGHhqzpD6KMf2m/TJrQJgEoh3oHWTumdWZRtNiYGeq2PtSjOLh6fMW+mqK9F7rxqI0VsTicHMMG9byGOEuCDuo6tXdmRqGM5K7l9lv1+w8L4qNn0cnXbmDtfC1NQVsj93ahFxaaXszws7+ogv81VGk6u6xpM9cJSVBGIk777sPh+aterCtXJJLyPunnVyItHnE4/tiUfshcVs5S7RaT7vTuEE+3jaE4RfNGBrNdgzu8wbFZt71ZnSvtXUwrusA24nQk8yvDTF/q2XWZn/sWB/ZsAT0SkEfmvZX+o1h9LWiNr4SdBfcxb/TM20KIom3PW3k0Cmn7ITAvi6q1bKSJe6nxvqlLdzfHVlnLm56UEpJlEP4S+fJ5Z2U319VAHw87G05NhemnFCZjZFOoLOsZaf3s26uBrvjCCz1MPMnSpt/zsdEGsEAa7qX1KXFynFc4rSpwRdfGJ2AC/a1K/91nDygC3wM5Xh+GbeNg4w4HuC68uMCfdBT+OvCnAiHWRZOnpigFNmtnvdI9v0yaTaNz5MDumJmQt/ORp/zn47NZyECjCyLtp3n+/UCNvloE8qZ9tnDsRa9zMz27wHwG22qCgpSkba8jKbmtCbGvcOqJxHyfV3FZA57/CB9qoq3b8e6BsLlEacU/0v1VPQhF5L1nd97/1FI44yQfqmhzXQ/SN9/XkdnSkTRTKpcPMErNQqKp+HFd9T2KuElRYpfJkxM0NZ+SLw5xT4IPDJvh75JPrQYUVo5qTtOMJWpgl97+V80ESJtiiFdyc9e2ChTK9bpDhm6fDp0FUu54IvCjBV/PSkclKFM8p6zCkP1zpQDn5t98BLU9X50vQHZjYJ834JxLD18z574/zEh0ke3ParNF6CTmh8aD/MHK7D2qyQx6vG2dqUJmXqAE+zYJksaUkE+gywJo/kE7MpzV3zscYLI33iYWs1zuQf3UnzkO/yAb/xsEzN/FMHeHGE+4z6XyaHcyR748uTOhmsxbTiwYbvjEc88g/iElwDP4CofRKBxipMcvg+Qc1mycT2Hx2wxYWesgJBLt1bpwK/e9utbJAfXEvg83YE/DbHlmc8G7+lAykEmDXkzVLEPOa6XPDw+VN3dwoTfLQmWzl7Gx5oqTq0yWxt11H5KIUqgROlqfV0q7W1uGW94/ADnvUGP7uDPCKO66dVReXmPGSPU0hkytR4fG0FC/6658HM/ZYbefmpLWxzxiM1TMY/jOCiTbK1NeetD+ng6RyFDl61Q6PZqjv/jRtDE+BnY3Mb9mZJrfnrfPlzqxk51eP0TQLgREiJjLXXn1mzq864iTndVnm43/BB38z8Sx5PC+hb4+EUZrZ/5AxeqKP2P54pWr77zf83hxu0of7Ppz8VGNbK3MfqG2CSJoE0fWrGB+EfaCQJXHXPO42xi5Mmxgu7bGHtCcAWZC+3saX2c9g/vYr1KjWOzyCRf+uxXQV7eKrk689D9Ihmw/ysmSZnzq95OBUQsYm09KXqsrVx+FyZu8GQvxSVDh+2ab3yjxPb+hz4Le60p6JJGr/ZqiOeqU+k1m/MZ80IWLN+LjWVxlddQq4omgFt4L9Vc5ldbrXAg9EJcjtTK2LAfScZ2gEZUCU7DO+by0bM3cFWHeQ1eO8zo+z5ONHPh2RLQdHvHUdA4BmYsHcN18dmUDpjSuNC/+NixrjnFWHbkuzuCy5MX2/rNj1owk7N6UgOGVXw/pITjqepdtED+HoBSww6mrOGcaRi4/URvuNwgL9bZIT2Tb8FDS+/S8c7MPtn3vL/vD6SL9PrSDm5mftJGmIffvcoRHsjBbqXbH41lDjGu0kWU2vq4H/mia1yd4rMXc67x2f+ShHymIOuTcx9M8NPBIlDNWbSbZN8N8/5MDmUkkdW+AI73qscJORlb3OKgIOPwIv7xDrHvWV4TYW4DTrxZTojSWRPtbM9ZGx+n2+UZYeOSpcOCxA6AyesQnXIzJyAGJhSZNkN0ldl+zt4sFlG9izgZ3ABat5EipvA2vJUIR0CKnplMV0rrh+NsVoz/nyAsw3132uISZj4aljCDPg1j5pb6ixDLkCX9WxTm1pEW33n1n2Vo4afVV+yUBmj/JWy7Z3yzMJF45T2dOShmQPa/Hjhs1h+SSu0jH8xZ/odG/e031jARSeFGlcWvSMpc9PemwBrl8bUO/EQ1pTrKjDzFtoAv2Z+cOyQhoTJtXkpYLGA+wG2gZJ0+6Xs0g18xkWF24x3bK0vv3OycC7wP+MRjgPgJfTHb/wjh91/iuyD6Ss8Wgs2f67s/pbS0m6ibZED589Gf6hH4oFu2p9DOz+Ff15VgQjpbVQJ4HMxD1T43KguefdyIti7Mbwj4zX1gLxMgd+eIMbszFmONTfnIeoGvCeogXPTy3zJOxlVCJU1ZTeJPpdM2GVl+m7c3m1C0H+QGUpLX0tnK5lDvNqSb/9e0AHonnJV5UWSpzZuMyFBs05J0/luHnpIdJBYgRdBXA81LGam2x3g0RNi+kNF2UPRFPYtyJN+O5wjb1CDCvM4uxmPhHOPD8C239gLq6RnMqKW8OQoGDk2/81acxvIB+Ze/NxbP31s1PFgl0+dDHQI+HfHAs0psDDFMw/22SUzPvqh7I+2Ppr69DTUPzMnubW875etmqabU6i7oz39Sx0Evz9bBOQhOYQ26FK3GTIHsORQFXLKI20T3mJTR1b1W1MTCLz8+aAIw3cDdjHwjEYb4EPAa2n2IFHrYvt3ZuulHEMX9t43xLeUlFxO+farDlWRD8CjOLpXsaR81WFtAwN0th8p5aCXfGI8nku2/MwdlMIDnsz3DezVKr/Dd7ePudWans6HEvb7TG8DuKxJND1ouAVtzECLJGvG7DSDJEXccKNYu69W9QF61nT2/ctB053H1IY1/a4GHQD3sFLI+4RZTxziiUVPh/K2IKMCrUJAher3+5JizAye7SvAUuB9X5ghzWNkUdcXuZ5u3M5eLAwfNMZ3QdtveO+OLPwdHiZzvkQhhnoxMCe1/bgKmmeO0K0aDMZ717pDdiOSdz32LFH7pLGejJ/00UaXg2XZFBHgNRPNeuCO/dOi0R/In8DNXdI2wLdSDntAoIqiv/bB8R64N36880ycJahH5ZUQqw2Sdr6ShLPpfceRks6/Cs0FW+WJazVRh6QS+WXTtbLmvg3xDdiBdxVqNqCznueOWbXmGPa7mSUraHQ1nk+O6D494IWCUv8k+5bxfqpKO3yx2H+fR4WnSEEMy67e3T05Ameh+ENp/3Kmn+65+/sELo+YwAG1WqY6sgOuM+aBPhzX8CUud9ML6zP3740w2M9jv4jd9puK+yIC43k796mt3vdfL5PZJWi12lZmRu9CrXAFTT5J1gLSt0MO3J/aZsY1+mACacCNPWEqacItFz0BaMW8QeYOeyZ1TxC9/FlPUQm/L0GNbnv5f32+JzObuRqWY4MSo4NCjBRwmIlix5xP2z/3tE0oT/AZj59zbWFB3HC7CjEHPHtyC/RJp5yjI68ZKx8ccJEVeCEO/jKzbbi4vz8rkVF/Y46NpcXL2vj6QE5vIH1U8YRTy+Nlvi1LkQxljwLG8QTv9iDh+6bWxk4d4khh/HXRwnptaspvnJLvzCG8skDT2zKtjEvW/+44SIjGOm4p5HkbdFhwDtDR9Hzk/aeVg9bNbWSZCgFAgungtNfcUpNg6l+tQ8AKiAkTp4ygc6xM33yaa3mE/NxWIy5y3t5OAXr3BnrcQR/wfRzgRRFo/39pZN95gUCr4Rcf0JOP6JSyBDdiIU08dallG85h3l3IRrUnDrmL8P4wHilppx2hId+t/t3UqVQ9PLNY3mfmU2WjpULTEzjzXAUSdFH2Otpyw6OrVbPrjYHOqR2cccjTsuMC4hBiTKLaMj6a/YMjlEEelhz5r0rYmFy2H+Xglalt3h+mtbDfs7mvJ8Gso/WEPTJdjj9+eDNr+tL4vThHt38crWSo7XZILRBkbPJJyEH3qw3vUSkDOTaXP7bpL4V8bmOqvqrLH7dxQX93LZBkUFDUf9cEBjJGg+LaBZJ+rHRmNeHnIp3N4wA/fwqYfdoBrwM9C/g3nMU0mM9nIwes1pKF7XcaQnZ0+FcD6vDgJg4Rva16vsMgfog9eVx4bx71zQOc1qA1BeT8RiDXzKsmYnuD3GFqzV/EzGgb/jzLfuPl+dYCjFxqpuKDRcbG8mhJgcvF5QZyBOR7foK80KUC8sOop6bInKqY3vpLpgJWtt+OjF83B4ebWLAqc+5oTjOpOh1ds544U1zhk9iCToe1cezHedC7dJhlzRYbdImrotmu9OdSOlNMI/sGOWkpGWgLMb+5KDmF7FW75crE/kbWv06jyQKaxcxEHc0st9KFZzPPwrWZTTVxjgPAixQXqGoEkcanniKZwJ6AnAZ/xpIFeM9TMW3ucuyG2e87X258husgXEAr2ek4RWr0BXxPQgWpqtjkR+8D1Ctw1c9Nzpb0YJna7LuZ30dZvh1YrHYp8G3QSRloBouCXjoj/Y+IFtFxWvOCvOtg2yrePzAy/ULWRnJ/nw7S9KqWp1jlx1WbO8gH/PuhLhTk6cZtImJxmkR0/PsEtVMajyjg/bbxU6ou96eg/e0c3m0Zcw/wLqjtX487eRZG5ySW6rRb9XyTx+3HOQT+Bv+8tPkT9geIyb19Nv0uw95Vwd49rvvnWdj9GSXHTO8tbM4MrO1eAg/ICpxmK55k8Wnj0NwhTh/v841zmJTY1Nsz+QHxc/mZq22R4MTRzLtPO+tnVq38hCNvlUNjZRbs3d3WVW5iq7E3s1GdypnHavVTZvw/4BPMPDkeejnsuAcZPt/+oitodr8SaqkjD0uqC4gHF3hXfw7bBDROddptPVz4lhq2NuBfe1jLG4l1xJwpOIXczoMS9r/Jdagka3uD52IlcDDKcJXbKm8s/fb7ktmIFxVD/jR+R6A+anuazx1BJh/khUTN0Fpm1hjEhl0BJ4Q1uQqOItr9XTItI97hEg/4WRe6LAcb0Autpdu/SJBAnN5tIX5rOB0eoiPj/h1w9F+NGotF8xXvtpiu2YPqZFcXeBZ8OqbD3WEj/io17PuC29LGoyzwTsStlXG2aVbyohasqZZ5jZId15xUDI8UdNX7Tqp0kzvwU1bHftsMGGLFzHbdPiEGfuplyqJFVUxAs04X+JmrCPXrBNgAPKvjsfFn1S7ovCdzIOciUhxXv5WrkucAb8yMTuOy+qsrAx948OcjBb3E+sTLLRlmly3g3R8L+LCLGd7nATnJOLxhpwc80EEdojjt9QU07YnzxNy/hdRK5AmwtKHqCmvdHx1ly4A7DLXvuuUCu9PmHLWOKMiacsLO+tOqX3fAJa7J6lP4zhvKPAL71vTynoiYpXQUqDReAPfzTmxLm8i2qwHRGuKksX3jwbnUqF8z64/Brje38aTLP2ivVhrxYxpri7vw7obkJX/mRn+uZ4GTTGwDPrY+QcR8ltHkObPMvJtpn0ehwyz8Egi1pm6zZFICVsB3bg9nTUCXfD5/cwrXoQxlYTx41OrvGNepBOyF531ynq45w/fMMTWjiFZiu9TWPGeukrmFtAqXVBZIZAN+1bGOm6F55H0JzN+fJZ++m0DOati8Y0P/10MPeDBsPWndX9zVBWC7C/ry1AjgzEz1WOO87OSRadM3m6SkT8YmbKwzaBXA+zQT6MGc+YsxHGZrMtKiebHLFjQ2IbAP3zMXNrj3WtqXC+85cD4UGC8AEkPOXdWMkX88F/qjsYgvkGR0wN/UkVFOFW56OcL+NTp6D3zJ5yzpFU1iNigJWpKYGW8Nlx78/LvnMc4FMjVMTu1ywGA0NoNl437b/2+eJT73Xqi4NLNiSbn6jI98k/XGmxh/Axfp63BZ8AhayGgXa/tRUXnM0X79/5j6tu1mdaTbV+JgMuLLj4DA2MhB6AC6A8QIBoGJ7diYp9+lrN/pfbFGd6+MtrFQzZpTqpolqCRtflsU468Zar7hwkcEsR+iDFNszKPNvj7VEO8SkTsJsotyTE3gl10L8sPtrmzGB2BDekk/bnnjvDvAy+K89yEOSCJtNHAbAafrCj7hU1Z0L0+Mx96ZLci7n2mcAN6WTzZuGcm3GR23veLIa5n9zUO2wP8uKge5R+SHwBEldXQvY2Av4/aAB2zV1hK0g43NzDUJT9JMSZT2OKzY9rXn3XpNwsPaeGTycSYehh+d09WPgZMismK/iXlHkT6ZublyQgZjsIB1SyPA9rj59VdpYzzm4bZkkR3mLgGNk5zoCM/I7Ceb/rioAzG7SyP0zDX6TuPQqofmzoYuglwSkyl8cNu4fXgHMaWmXsMRwEFAVzs5k6xB2pLi3cqD9A66tYd3amolj+Y+Ddbg1jDgTnH24htrXZSQl/C8t/0Vs3eIU4hra9GkB71iZsgU+phZdpRy7qSRqYkFbl8kZuZKwJzummsiG7FdmUtuct051e/snWShQ/ItIpm3lA+vs8qc6Ylb8tZoFWNr6RqGc+B+Zh4P5LnlYZQwsZNDE5JDHdpX0OuLXBNZrd2BW1crjbyuHIEu6S9H9Y3xqMyVY/uMYtDD8wI8+OXRessY8D4z3xaeAXJv1k7JoexTtx2aBXCmkkJ+SjPvObpae7d5NkJPAhAr0//WOp6dY5jcQR+udfRuw3O5ckwvOCrXdMWeFMlbObzqiG6OmvAGeLiNubyKqXPIc7sDDd6nWgrR4yAfHpdsML3EnQ38embavxj/iN/5lkP31pjzdK669vT+pCK95/m7DfkV1QPCPMIXNupXfMG+/VpS++tyjNILcNLxSNUJ9IbdjtwRMdLpc/tW08FTz1uWgb5XbAMcf7jT4rw5uGd4Di9rXCRTRFC+YoOVOxGCFKboR0yAQQV51Yoc905639v6DJp7gyGfZgx46BSuFfy20pFVOsgz6K8sj84X2vNdIzzOgiQ1s11bsZwyLo8k8D/yvnuKKPGZhe5i7FxZcFM3N7DA/6tNVVpC7v5yj+E22K9fm4wNd3jWk/F4OTL8yEb7dKQQk1M3Els/lQP8PpS05P4DNMCjHUlZC53mbJ7T8LYwS3mMdlmKFGn0fCbs73w+bKg5W5uPPMgswIiSWN5Siu0D9rUsQZtWBRG1nqN6NB2Xy9RAts2pZKXonmVhziM47F1UMRf5EAMuC7ffbajDOiBZRXEOuf51DxupIr1UoInlJB+15haz0cPMCqwEfhOBJm2RVFXIkxp0Q1b4uzqQz1b7gP1yT21ywbHOqr6842jpVAE5DvJZ7ZhnSn5A358Zu7724acatqgs/APwGo/oL1tBjHHjJ1x0LO/RiQ72JIzPMksSiAl4tziBPHUArhRxR4MWSpx6JaDVuK1CIo6hEpkD7xo4QztmlxT9nS3D92rHuMRnjuHO+gj5w6v5GbSeyo/FF+y50DFzJGuXpGm0jVmgRZZvU4jzT2K8HRna0X7nVsXXegR+wIW67K0tV2O5qaf5re271znbHdTQE3LOkK7qE/jY0exT4IRhaiHgpHo5rPgTT4CPFJ3FeDvBZ/vt1DxwJD9ARRzgH9NPlEN8kDayj5Bn3zLntscDTzlKJmnPrznFD8p3S44IcAB7york10OhpiQHPmFmrs8N5DdlqQAP6jvXXYCduTsycm2HhfDYl1WMbepwpz1dXQoAmgYdT4fllCLsA3d2RezzV62IOWfAgfTzCDCfdl4eEg1aD/jxHAFml4r7nTKzqyZStdR/ZI46mDlzDHiJmeu3d8l3aXUBo0SDTrhIhxTwfkdsc6wcM/Fdv+qjxsySFzOTQNma0jDcKMtbleZlyfiBWd5pbykEOv3JOPoAXXAA7jwR+Jv85VO+D/vqXq2aZNYW8kyyB911Fmh2ql4f83Bwa/7nIz3kGu8rjn7ylbPcZabezJzV/daBYWvLVIQsvqqhopBPUfZIQ9uuAx/nHHUpVzK1d486nGM2cC6GLk8FDw6/s1yJ8fRJ8lG+cB6DdnDht4QMHpwOZGnNLFvN89RJvIM9kyrsQK76CPYXhZgapdPZudVFx0Jl++ftBjwp/u8uYIafOzyUkLLm5PMYaKuJk//f9+BYU9WBnpxVT4DvyQ3giJ3azaUKbyY3Qy7aPkDrffJoQRCjxidhl4bh0vawXx2C2tB7awHDSlMrF5CLjIxfBDmAfs9MrxhH6O/eoRWPO12JX40qoTHp93bXE9MKGpo4k7Qp5lGxZNe4XQoYRc2daS50sXdB4UZ4gUz2KHvllZPiKcX3g4t1uXIMSxy2gbrK9X8+MLDvotLcUQudU+B7pi+jFMTMPLVbSq54YAvoxWu1/nPZgG+4QMbr5Aa4uU+dxgWdgyrL+LGXSzoCV6D/nNKFfTwyV05fC3XDV83tsxw2axVuAGNwdwQu2Fh89393Nzt4O6MYU9PDivPR+2knTQXSWXO6dUJsv8nzFlMLFMXpdhPCjo+hBIFkZiuXTxoiRxXhBrT96xy7TE0DuM1/0oHda2f7kZseLZbgKurOzXD2AIPXCmlPhTpLg52Zw9KVq+6bwJ/TABsfyVmZtrJhruSwcGbmP1qzAB2XGA9vFV1fZynAldEncKQ3tgKPQNL0bZ+rkDB4Pg6fJemkBeiuIbO633NoWE+npvIKOHPNByXNGbFcswuLQQGwJcWrSlqkV/FxG4jtj439N48+Sx1NCeJFfro5hOnPHHIj7GVgl1/ewelWYu1Wo3Fzc971vF6Ybfoplg/AT5e66SoH7ac0uXOXDCVwnBTNEx7VA3ib5JYNWuOvdu4zPW3ddpwB67cBYEHY9o2Vs3AD3xdkvR5FgH7IwAvAL8i725EXM1aBn5QOuVcUVJ6wdT1lbjkmYXnantNJls3EFtx/bWBdAM/Jq6bdp2to6qUK0O9PUw2U0uwJ6zCDdrLKwfNydrsAtv0AZ/eaUN7T+N9yFN0CPPvRhmYOYUexJlQheW+AqdWjDs3dvup9iwGm4/xv/tdFnLZvOHy3sokbHzIbcB3REfidyBZMTb1vlzKxlMpVJ4i7sp6Sa8aw8TpamOOZ3ALaPb3AfhFmjjh2dS5Gj8niy1Kc+MS6/tVIc7cDXk4+q96vCFMcO2erHLsMOKWdWckZQ8zsLXiKCIEe/J2ZdOMu8Cy29THDcwa6GNMvF/jANw14WNtYK/u3xvqG2fDA4eZ1N1oc2eJl2hfpMGeUf601nzvuIHgXEmM3CTM9CxJud1XBnmnwtRzDr1WENwI6LeHGz87y3oBHOemAfus9UoGeTCc+YRvguCQCjHv5pTyJRloE/xYepeYzQi5s4zkd4tD4deEFNEFChu2pGTQB7r4hA4rSgvSVdTNcFN7bl5dbPKrG9CkZcDCX7ACPITbKBXRDX9v8dY4dt2MCHPmfe2QykUHSE4iV1mhWpJcqUiOj/gdg5J7HeKkjuW8/bhj0zzUPmjsJl/KwghSFNSUr+cxEY2rrIefCXg67G9EqrIfdaw2TxiZvcvAO6ekGXIPZJO5GWkBsAlfKEbrKCDBBG61FUGNzxKwb5EWcHkCKlDb6zlYcGG5h5hMBRwlanjw45b5yyjs8xU7wPw/JTcXxgbAthVV7gBYKQCcSRmFNnAT4v5nXpwI24mc7sIdyuSdH0DKDbXLem/EOOvIuEEH3TKezOb/6OYrt8cj9E1vxkDJCW/HqGbkuXMzGD+iYwztU8EzsYyu4vbuLMNtUjrehI/EO1sPKR/Wd2ditwu2htmYzVzMFDV4o5O+AzyfMTlZY803FgPqECeYBrJfWO6Lx6y5AmDNy4Hp7MwsP8r1tnLQq6hd44k/AYuPD81+tsGWnbZi8Nb2mjUhMtSiuxsFS7HYATp4At7kLJq+0Vxq09QOP3HRszS3Hf/MdTA9Vw7yffADeZKufOkRJJrqLGhcsYU9T4IK1UKC1w8VUsxmNRCH+K1a6B0eBrlcTCTBobZ0f4y5qiu6mRu+Ejecjn28KdOrrTA+wtOTx172Ky7uayntlvPMt7zszs7MsWWJr5+AeVyWznZJ1c+1YNtd4htyDualbPL3f04/3e17oioqNI43fOWX3Y5GuB6t5Qhy9alO9lL3fBUIxxEYkguSZjp6LY5mxoANeWN5F4VugIU9tZGaiwLPEvBdD6nDj08/mc2ZpV2h9lpOZu8xTbIUWBV5dr6gz99GptX3pSvo750SgKzc+05b8ATzUdLTc0tX7ssiee2e+E1t1poYyG5MIA4s9WKXF1t0DdL1dD5aTFaqQlgeq1roQrj6l0QdD4uIIE8gRL967ACaf2g94xvzq1dTXELMMQ8yB/l5ItHyYeoD6v3qABzMzm1jyyB0y40kdM3F7SCd8kmgrOShJMSHOh6QAzASuZbxnPVIW5KUr7ymVz2YE3LQWiCR0rlljVS7/UD1oeDP/azCzFuedCpODmVXbRs2TiJvxPQQd7d9Bc91r8e5UTHXwnRpyP+T5ZAd6meSg2ete/s9rMZwRi1HR8sHM7bzxGDA4SO+mfketpBdsWEqqT8r9tx7Wrt+v3MxEQMDVpzy82WIqYa3QgyHQ1Lb2GOSHI/JR457dg6vi6n8+ZnjvzlWzEg1o+dYO844GGIOYKas4g5zSVaDnAuCf+8zufutpaeCHwPOAa2Ns6hlZSD6yHv9IRxEJGA1azDly7rbCHtse3xqx+593X4z7w8pnIXZmxiDoeHKrJqSbKYS/KcCgLwfy6fX4sX2YOY5NT2510Dm/eBEpnzjysx5UhAfQDitb5WkrqzV5UzTdkFCbWYMvn6WpWr9MD1TcTHhfjlxyiH0Z+xvQDwQ4HuRM40Ahl6aQmZq43Qp9YAVyUmbuJ3lXgb6F/XCjAzpCXlqOsPaQR3o+DEsNmkrG5V9Ne66T3RERj8WQf/S/jRqWlMb6k3Dgg8Dr2xBwZuRzaX15jZWYe6SnCmcvE6FL2Q64LvqurbOtYt/0t6U0Quc0nK/AhhidyEoL/1Xn0CurE83EAywS2kYE4h8RGScOnXyu+NeGBejN1BkZv0/TA1pZZu6P2sNecyHf2ZUzC+YCFo/zANq7qFaZ4MAXDJi2jNC+0n99o3vQjm805lkLXB5+v8NGFNcTDoHP4CpOIH7lBbAtICJJYAfl5aCepeERI3mCRvrIR90BT+bMPd/p7ywj4/TNJfznPZsac95YvPRypUMnjeyfNr+xls+m/iluh+5DDJuljlNH2ohW1gzagF2yghTAoe/M6nLYR3EVdFUpNnYN3IKhEBjQ1U4/tscmSq6gZ0rQzpWMX7NNr5sj1yfgemflqBK05RsNmNes2mu13hzj85P3oFd6oLZB95Y936166A65Rnk9dW8p6NAqUDN2pc1stS8H2R+DL8/MO5Nj+QC+URJ7fp3Bgl7bucfivFLgCoAVPQtxYGqczaw1zLwHDfRDhmxlwhPpWlrKuplzmgv8LUrtcCGO8hqEH2Zedz543zIg39JS+wZY6n41U0HmF8c2NXmgz2FNJsVyzh61PQdptA057H8pcNHwuahHW0DuezRsXlNm93XPfz1VSq42pS0jPEmONZqqwC9Lh5vZ65JYsG+mELDr9jqDPewtwFiHb0APl4wmwGglyRngFOQFYnGvBr2TU+kReNba9Kby2dxn+MCnehFoIAJ8zXv/QMSWE9RFYrjdpGOB3lG7JkQlnvwXPywb0Aap+2+BeJ4xu000Av0BuqdZFXAiSaX96607Vs9tyoAq5ZEcJErgn06kiM/wD604yoFb7dpRbg5O5pGxA9znu7bnuBn+/xlq2TM3M9bY2cwhMefYN94b30b8SEf4TQWOGldesifEvZ2QBngkYMqQR6Yp8nYFLrIXHJ/hnXmZhT5ZqEdSdFk7LnlmIwEc4LWGoIGAF7PblQdJCrrEMefplZ0CNvJTHWtbGb+84RYB/SvYePugZvbmyL8hp6TyYwtApgXg46NCw9PcjQBnWbIiEcYzVenuWYX81YPgl7YfqjU5w3561kV4x87t4+AwB56prEHHktDoZPTRhOrxW3c+nm0WXhfQWT4u5vUYdcC9b5XxJGjW5IYH60F/7zmSH+7iErT1350U5M1SsS5tQm7qm39g3S5i0BR+Q06s7Y7HMt67Rr/xUQn+VhbdoLS+pVqZM6kdCZPTkasLFuX9SCGnaUxbzgsRSNlE6k7H12zuK4ClH4F2G/AqP9W0s3HwbxUxHysXeJFlm9reTdkPG97r73T1A1MNpwIcwj6708HUsu6AC29v+cRLwMhrCznInJ1iQRgHfrB3+esu24VcEOW2/GQFcemUgpAHdYrkQgdlmbnHpa2urPCfdaR/UsgTwNsFyPaI96jiE/lsAv9Wj/iHCXKhArM2nBPpoESMKCmZBznnzzPN9KsN+bAQ5nDgpBCXsZ9IQQg1vSdOx6oeUSJswAndkd4/KS3d1O6qyrltAPc+Wp0sNL+N+LcmQbPUnT3gukMaEVh/tUmff7M/gD+UXr76FuCoRUPv4/C8iYyhRTn258G53fGEjyLynpgTLgaVq2hwJMIrXvVbG1rPNvYnc1q0t66bOkCPhioCet6vHVQCHmgS6RcHgM9IaOma9zq4FLT5kZK3Wp+fEnicjPFRmT0xZSsbz1bdM692FMuYArwxc36TkQ2hhbXv7J9bw+F/1Ol6Aa37VJF06nG5HpzN//X4XC388W63uvH2duhwnUI8L79zFuTKPayxrh3jF8nzcv33zFzVtxN5UndegGfaGFQo7o12lFPj4p/czHp3kt2vN4KrgEd1I+v18OKi2Nncges7tfWwYT8/OZfkGISe6tmDaz7U0Xwwe10iXyobsYNlP3ObXOF3hNIF9jQq0/fzzZ1kwIOpSeNVxWeccX3DYTJWDL/ODy0Rd0sDONDG2gdddsq1QtzBORVkT0I7V6hb9w7gnY1vqY2ewO9cFnUV7Qlw6Q0gDO+zHjAYckEawrvWKmVjcsCgw4CLzKWwX7hh5b814cDzhH7Wmh9JrMY8TC+mVoGvxieUM4hpc/b8U9vIJQ6wVIpy46UNVOqUWzZTz6tLIDKVuA05U1a+SnhGLPLpnyWj5NW/fDN9wMDFkdEZkCMvNJBZA7y5cq4Pg4dsMjNbga+aM2eBTpkeTO36ZzroD9DqIeDegwn0AVrXA05eiSE5cNefiZ2ADiSAk/6rn8hr2LIBLvIJ+Dozk6PYIqTVbHIeWqY+hNLOakLvlvYdJaeboM48Yci5oLulmWuhGOTw0/ZCp7koOclEXK6Vw6wSuEPu4LcKdMLr3CZlXlCa+0CWPeDZotqdj/AhTIXkaeqPiOCAazcuRPdQqxpwUN73q7IP9rCy3r/Sj3cr68kBRDJgL8GiTybYvw/OYW+7gKbWy//w+qwidMFOutk/rxtOtem1AHxJiHRupm7xlPWJuV8egPfyelSWmftYGRds0W0IKCjZ64t0NK6G4dGGNsvdrw3owWeaG39EmbfAcl73lWnAHGk88PMtcGVtY9AMEO9ZLjy0X/WOh6Q8FomZ5d7lw1aXpuetR2lLzbnJ/CwtlNZugoDH7vnqP8SA3NryqsZm8NnoAv/udYdYpM750YQS+EZmkynZp+hsw3fc06Jb5dD99jeArr8pKiHvbNMm4t8NMAPQM5Z5b/X0zzGztUzuhBg3dcamdpIy97eHdV9BnL3OiLLxBvTf+DjPn/Xkd8z07fbJLeXK9B+vJVs0FTNJ4+7QAP63UddBzn4z9/Wge23sJgnm/iFFs5ROQlmspnxAXhUulLsdxJF89UozWjSrYZI5H4A7b5M04p8U9smxmE/pmppZgN2RzytG0vSOTgcHWdjN3HrcTk04r+2UZKlAlkBcQLZ9a1b+WYmvh4xnzO3OE6N+aaICx4krIl7V/PxbawV8DrRAEtUFYNtw+65gRxOUWZBHSuAJFQnPi4zeXXNvu7eN/4x8YJffKvgMNZLPI5UbZqHzEWGSWbrKx+R15vAG+a5SPb7QaDbrm/7eTVNs52Zuc/B1ycP/vDMBl0hjd5/A2eBviwW/+FlOEK/Ux5jiZ053z1rYSyXgvenwrnTqKMsz56qX156vC32qgB+QwWNpkWh4vzvi6plb259q8jdSpHbpcpL/zogvL2ZOppmVZvwKIfTsZmw2TaA/WppZKkhYXiifDmzNenQAfWBjfX6dwcaKkzJluMD51srExiNBcpFhEldh5hDbv5BALpnlAR7pA3DvPUEoqvUcphrdFZO6CVJH9Ghp+0S0RYeU6U/SCqKx85StPMnV604KsHxjtwMn1EWwb3zgHYlIhZco+59DogU4ZuoRdutLG51roU+0KJ1G72Cfv1sN589yONsp5AMZS5yJ5Imf25ivu8ux6HSj5ZI63mvP37iTWWaeIWjEj/K5PdPIPpmaIm5p0BLG8wX2YDjjJjKeK7BHxWCXT+DyZl7vaHqukgyepRIh5JRh+yTW9V5ytAGOGGUaWAx6zby7wvrPdwE4W1pbTH7nHDzMGQ58huykkJUKtzcelRssgE+YjHC6SezOrI28oh1swEf1m/tz43Pm2GM7pQ51vCdgEadWZ2ZC/t0FmD3BC+Uy2Hdm3gc8+xt2Mhdb+gi6TtAeXRo7iVvQIVIskkTo0Y7vXnu6PagmjFD+iSPvIimwgFWlRis0bkdyKykxYCzOb381nHur8UwPF+idE6Phg4U3/xjD7tPdrjHVUGx7rR25268dIyPXalyO1fhlHTn+OebbDIOOBC4LPBVnDehbbPNLTnG2dx52M6kN5S+fpesTtOuZWPitiUjMQevXA0qyouvF6Wbiek9WPwZeeuc9oMLoCWUtczXxT2nOVYYbAy79qFdypMy7m94MOoWX2np/AA8oTT1GU7x6b29dGr57eUQ27e/6yHMpbk8ZbjV3kw9qcz/n8vccggnIBTbOhYB3O/kWd96NB4QA/to1XAYKyVtl5skW/MP4dhvvKqy7AnTF67swddXaTMkH5CyUr8wCvuTlDAErBA0+Dk4Vh8D3ZnjW5I1DrmP94Cmn+6hdPDTAyXG0HUEfw9/JJxvwlfJhacev5eB07q/PLfvzFRlAj3TEsdPfeS2If2CHgNaeH3XBZyDuBEf2lU2dzKzNo3G2LqM+p6NXpAP+KIf3jWKzUxvdEMiBmX4A/WV4qQXYkBkvh3JMXrrSZy6a68BfabiF3NPdqxBT0B93yI9Vqnmej5v14JJ9PehZhcCvLWnB3rxzjk2P8w/s64n+3l96jwbpgDvKeBIl2Jnv8A6QCq0XP/ztQahDfq/D7Xez/ueNntPw3ogtfM91A5gXKWeu8uH8MHeNki0YwnmuI1QdC+xXw1Jg4zNEs3uldxdAwFPubIvKVUfRd0VN/3phzmLAGGvgYHaXAjcI88FmghKPRfMb4PAjjwHfqS6V7fugITeg9ynnmSMBmw62n4K+6CBaIxU2ZrbVQYwybQfrbnrGgJO7FPbtX8+Ia+qnNWt6XXHQRMDdvZZtx3YkO9b/e9AeDxyZmhH0kQY6A17mURu9gd75r6/X5R+iIKaG9Aw4Zhs/xjoYnkLY+2qSsIFvL/3F61heUjM7ru/sw/O6ln33Xdn8W1kZxPnjjsPbkT/hu2k315MsUnG7K9iXe6u0qYUv9bDtgR++0djUE5oWh697i7I71slb22vgUfrljXmH7/Lo8Kvhx8rBHyxSKS26DaaZubd9K0/vl5QmoJNJUsNnCtA1qk/Kci0vpkeUfVztcu3uhzWBvLzx2FheSP5+By17x2zZ1f2fxx0XQeNUQXrPRXeXfYKO6Pyshs1GFOhBIvVZaVRg0zM62ub+f49H42krEyLeAWNny/jD/va19UmKqf48FtmKLTvNqf6m+gwbyX7pZZpPySfknOEIm7gZt09AYKsFvEkZeQKeRwow/+CegV983c3sdNAUHuRHWF/ikRVfQGsepA2cceLAebs3yLtIWURCXlqEUHdW/HnO/NY45yOSNVApZs1LBVrA9OnUzAu5lcD/VkHbd7DPNo6J0yNPFoXmQjpyYSi5U9O7NumztJblWMgH8FnTx3WpHPKdW/LEHPzSy0/GIYebuUG048DtCGYJzZkWxNEoBz5UhfYdOM+SrYls+D8Lo24DOAYca47rArDWTcqW2RPsdVhT+bO3TSXQ4GaW7bcfoE2G7V9vYMn/eelk7n/mgIQqyodwBcY4VeLW1xzl9ciDNPj3NDXAmKqf//OgyWjAy2rCoOXkna+4Pzjvdy5uVynCleTbNzU8HHMeARzx1QuzIzGo+r68HNzZppFOGnMnZSvjPfBMx9I1PdDAyfx0tNbUmo+m1k+d3mH/8A8Wn1028GcG638M2MWcF9ZT6KXG0xfJoOnRB+DE/+3Dq6uMNyVEePrb0yp71TfA0/ippvwb9qdbxSpjAbx/kHjGHyAdBsfMT07FNsbjximdeWwNDw2xbMTipcUAPEz/SIqvOELfjOtX303SMsvUGXitlgHo+VFB/ssDZepokQjxoba2XSbs6BjJPEXAS53tApqlPwYKuDCeWhAAasUCODXoM+62BaDvoA+1QF07ylU65HVWSUW4WdICf1LjhVd0VhstoDFCl058VjTxhZ6Nx+c9tzBX4rGkbCa8mK8N4CCg8oAZX+nYhcyCuLRuFbUILQfSwbd/1hpT0Hev816Us5nnzq1okTowB/hZLD+qUe8V4hYT+EcAdwctJHJbmfv9J2aWlbrhM7XItRqaDWc3ux2ThRZzQpzuAHxtlbA7IL9sGpR8NFq9+KHfWEuYUpXhSLNWhI+KYQZaHOUaOKxDuMlJtT3cq2EbmbnK8tffzp7TNXmr2HZNh9tPZXEXuDo98tIxvheSz/dWNA53EnOu8PKePTAb8IsNC52UW5s6TcBWiO17xoELgsoXgR/Wq+rb0Z6M3xPsxTOffL8Nd0tNQ5cLD/I47DurK1P9tQHdksFvvOBCa+B+y1H8eRHoNr96qVaoptJ4Qc1tQA65SE7UJjLtedJYCWc0s1lkx8ALn7AORWX8I9wdYDn61WvH0L7U42bJ3N1Sjl8PwPgUOFwJPFqDjv/rdzC/W9rG3/uxUkT2wLMQGdVJAlYQi1tVQR77FWJlwJCLk7sYkqKx0CbTaDq4PnAjLpVteM9gA69mnKINcLt9y5Men7ZFQ/ErV2rWy1jw+QP2SGRm4kI2BR6A/Wb1A8AzwKVk3yByEAUnoF+TBhSmClUAzwv7AdO66EL42yphT2Sgj6QeXGXmfQf+Dxt2S4vCvz76Kv7nMZ3wKtpemEMsyOfhMbK1GJbkGHeYh91Hi/Ql18ZH1fvN8SlT91TI48Hq1qroKDwPJVFjmbqx1CEMW1vAOBvWLPEaQV57fieE7CrnfK/EQhXqCvJfbjW9wqsIZf7rV+ncEMT/B/DAhWt8OLilvbdeXChZ8oJYpm9UhN6lXPml5crUl2d5z585wi+vD0J0txEaInJQEOPLUZ62Jwz5q2R8A3h358AliYZ3okHPWjJKqZwE8NNWz7CjlKnzq1o0C8inJ8GsewX8urQ2DutRVa3ATxz50rB2ZmPIfySrLAxcF5VH44XoaAl4eDZ3yjlbgAeSi+Jfbm1xQhzyk/fkIZHeNRMz/YSfdYwQY6CdgM+0gjzo9J9vsdTZ8yj+euhi2nepHEG0c37PJn6RxWyDNs6awj9WmmwOFo6PXHrY4Ukezbv2t6YBCRrLzPgK4qK5SD2bmqqn4n4opszMM4B8wo8N7dyavbD3eqEDYDPqjnzINuY5SKzdavp3P8YEVZFXwXP+5/dq74wXhFsO2szhfatQtlSmTjLf/uSTmUuWUNB6nzi0SW0BH46WsRUqBS79qiXO2xGxNCInUA1RviZJbn3ZZiY7EYm5v3c4n0Gb4QctAK+MLuG+KEWHAF8Y6N21mgbQrKBNgRsRlzltpGPGf7147EZY1sHRr7rKRxXLee/6xpNjrgSaZJgcIVdlxLKLNMRvJbtFmbOziYsDjs7rwdYzX1GYh+kT3qlf9mQk8K7I1O3aMXvmTnJoI+MVuv3Gtm/msr4wqlMrGVm0NffZwHVv+9bUv0US1k13GeVTG83f+bjNDsanMmQup8QlQlfABzTg0Gceny0K2ryJsSNZ8gE6um+s2Yb8eacxsoCXvrjNrhXdQ4bztUbk50j9OR/JKCf/iicJ7Nrc3ZRWigZv73afJl5z492o4fe57HmkqUcsby7HZmlDdCGhPbQAPY3zsAjqHEq/XEy71z4M1XPrQC4VbfG3rxzYz49fL4a4O0Ju3UGc8Nw254VkAu7hmDpeNuFrBrqRarUBPhWlIGiYRitf/ZOpY4HvgJDzP4Env85tILbVD/Cwi+T/IEftHulk6jD0dw05Kus7ng3zKIJOkyE558OtEPl2SE9bKztt/Ux0H7lDPoFrJalbQhx7kJ6wKwQGfEwQ8JZDO3iv9/XMOCLlqp2K7ey8lwc8JJ/K6t6oHp6m9qoahuXIgOPacuWhDlpTV8/PC/BZxCFu255nkn85uYNj0NILaKsNC5tNHaKoLHaLqXF/nRGZ8wbQ+iUfbEhKphdJX1SIaO543Nz+QU6ne/vrmVK8z2wVp5EdKuD8wF2NFnIqNwGsUHldSFv0+q2aCAf+epYOCisbB4Kr113Awq2lIy66VTa65j38rfdBWwOGrFr/5qw1CfDqD1zPWMXIFxTFGcUW5LlVFYNDIEYU4DZwoYlO8yCHcGPmlIH2ZowtHmjOl5/5HvIPToPOZ2Ey8NEmNPBBR6SPnKMN44l5duNXIcnpdk3HbVCJjlKxrDxAB/W8Ag/o7o2VeXKYdyK6paBJRxZ8WeW4c9vBzAL/6xv9NNUFYtiswPE0czGruT7lo4f5UD6oLY/ArwiZVAq64gF4FVWcGO+Pc4q+LmyUt9KVV+AaPy2bD6bnRAK/N71o1WQ8QPUNou7lO/fIzZlkr6MG9Ivx8KLT14PZ8qdiVwfWdcyG8pKxTuShvrMBsALiQYwzbyzgZRB21SqfVcFl6upjJq4QL8p4nY2Y611um9k0r3k3V68ebhFjpuYSeIA1X1kBnMVltsqN92Vp9NzCqG+l679FsBsjSOIU9E+1KlkOtsXZHKejjvmqbnnsT8C5eCv0t4y1xSJtpdarpuJGS8uOuJaodv2dCGTfFiHwre6AQzLkE5rTXnaKWfD70ydlC2g1IEkM3j8DHlj4InPeHzX9t4IGMhM7qTm/IOa8fpWHzJVP/PFXB+tUPfutd8vH5aeZlMUmDZwA+YB1uhzfL/sVsMQF5GXLtaWEgP7omohcTV8y/+0R0aQ93QDX+Vz/6h35yFEyyxUd6UCeKtKvc+xr5cxTBszn4CwJE12S2dLKHExp5DHg97gcMalt/iHYdWVB6RHH09J4vRTkZuYXNXq20h5dlWXZwJOfx2I2d4VLG0tXBP/sTJOX/noDPZXT2B/FxFbYUzaflAbcmo7AN8w5ftND1rdui3RlWg0I2LQsmXUDBQhcok845JWnCNQMePBIA3xjYwPaumOEJSnwZNyOzWsf5rljufDZjzzSTj2ogAOBI8N5IcLMH0x06hKpAsCjKPTKgll4xWEVz7/3lZXwmJmNW4LWzx27quz5V7/mQZcRw22o9LjbLP/jAPpjvyLjCXmHNfZEgJ+mZgziu5NFdxIT8ZTAXosG0MkoyrkaDza/UXMr6qC8ihJUanmUltGZc25mUZDBJsATCR8IPzL8Oo/aszhbgD8Bh0YX0PABNfOeODnW1rCmusN5iBKpk6G0SuOlUAqtzDzVDxndBljHJRtIJKPM+I2VNJ6zLL/aKlyqmim/ZEqKgbwwqqKiuzQumZuQRELoKdX6VjpIkIl3qQMxwuD7Yf3bCXjoeJvyAU85n1Ez3JzU5bwGXkpNj2jUnRoLdBTHouShc6TAOwvpHFz15+to/BlMrXEK+NLy7AKcfeGRDhRwGQI6mEYzOcYywk6Cyx6ldO16Bvk+G5Ur426XC9MjjpeceZWpMz8GpkbLOyu3XCFAPtLQ/vO3yTV7MFfeM2ezgh6a6Ui0NDX0BWd1sHOPVIH2/9oc4+ZuZp+2/deTRzLLCvJm5mPwsFkrAXEz6E9B1TcDDsYZ7vjHTQNHcEHfvuLrswnCC2D5J7yjsTQcVuOErbD6tGPy433TjgQ+j2/UCkq8B4I18l3DbNNb5skIVdRVSET4EzJxBHvsx9SEA5a6je5S039hzqpePEr0zDuK5QrcLwfulx1WIo90t6poe2CRupfO9tAw76YmPFCBElNXnIfvbtnj+x52C+SxikxmLifwk8nc2W8XbHddOZj5YQkCDH69rxLy4xsOyDWf5o90SK75UG7Yx/VRTilobDMPNTHeq8TUV1eC7GQ8C+Dhumb4LgoECPrv2WrekUkDN++Cg+W9/c6ooX7cUMSJLl/nbLnp3YP1nVkxXHih3pjGmg8dSiNVyOLfhQxLWLnzIiEfV5Q98hDy9Dg8JOR7wP2e9MmYD8uHoNolrMsFkzNztBbxHJMYgUb889Uf1RS6mdgav68IOK9oGccsnDfc8YqSagrrZ+Z1RhV8NzwnbQrgJOK2YKafZgYep5JBBqry4p9HAYtrsZByRAu8x4wxjCr2V7Nk19ZtxmM3E8hTkEOOJEgEc262YrMvmblbWvwUYjhfVc7H2eE2TzKOLzRUd2w9ntyxQWGf1/J0+ySi9MyZzJGrp/ytK9K/s1Nf2Av4AhxJz8ePG2sD41Gnz5W1e1Ri5wjDs8cF1yh7MCt5VPm7jWlSQl4N2lD7VUjyOtpeOeiglPHdAZ4EF+isgtCtKDbnV5WIX/4btx8KvBT3zR3wGsO+z1g0T3KVG4jeNxktCw63e1Xg6BiCLo4N2dAFHsp7BjwK8OwumUz4IEFvWwuPfWp8obNCjXmUFHnhZ5A5XnXml0xrUJSZRWlmzuT/y1mW2qfj4tQ91//p5WWf2zLkw+1JIRfiEcXGX4yFW9Aq8lDrr0flAI8LdYJj/CQo8UvQ0aL4eqTs+sopn1UkSWnJpYLHykMF+mcuWrH9LlcJfEF9VHE3ppH3Yfxf+YRJA3iaufgbOGNvOLcavx5NoXYZ8NVsAlo9zSnkf1za6pRTWYBWevl+Qx6UPWCbJKb30eUP0MBuTQG1GCK1k63MTii1jW97ZvECsYYhLxVLALHlAh/koOhn6qR3Zrx9Vq5ZiKb/YhmwYU3ynL32xnWtg8bg6Kn+9XNaruWazMTMiBbJktlzVIcLO4byQzlSZpTgTHNGKD5iW+vaDe0jrH0rQMtMoI0HciH9DjA5AV2t5jTCuxL05yu+ICYObY+sbFJngoYlH23QV5ibOzDBuvMxUmXmKNaGXZAan8cIzVWsd/XHrQQtA+/OvD/jBbpz9rZ/biy7FNF1Q2x8FrzLsDMHf3wD9kIdzm8l/WelWtHa4qXseXewCbyP8AHq5IOtkgiKny2Xz6ZnFxXZb8D/FmKRj3Z8LBCfJA/JBpvaHkBA0EvyyE1tuKpq9+99/TTG5zDUDDh+AXvdF0Jmdejd8GC8A0DvTCTJJz87BkgcVh1xB/4+8dL4+yn0dWehHA8WrOmEnXSw09JGn9wicWrJC7fmPYvIq8enLG3QcxCzyvhHCTVXjrqAtovyUFLioIAMwAmewDdjVGJGIuao2cxtLQuSKsd+A/7AxJQc8/HdM7WUojg/hfEJjJGGvHIkK3qd92pYH9Cvvq9GEmfC46nQezLMHdeAV71PqmgR+LS1QV/60pIJK3ydW7eJDNihBSHAswPAiAL457cSvDpS+Vmz5Zk9b994WFij/dcdh8uY50DuSc3sBTr5sZrKFT9v+rfPOdyW6WTObdRdjOqhEP+s9HmjhtAhGlMWdqA37G94V6bu2fjavknDVwP1UQehOf1zK9jHr74byAXO3vVPkvq+CMmOuX4k0eDwsIOcfHXL3x7LjTl3A9xsvIMFvOFj62VsEYpCPnG7Rzqe7yL0glQ3dwGYmTqdb7wIWN89joz93QVw3U1c69DUmRyj0qVusuzd3UXp7qSCZLN3uaP6L+OlBNqNeG1+vbeDXdCw9OpirtTaZQz5CS84Zw73sGV/AD4PfNhecyax6v+9+kYvknVZFXW3o+D7vDe9fcYPYPAOzgb4hBwxRYcG8UOa384V+ufSXn9SAaxYPFbgo9cS9EI1KkCMhOXhvM+m2fjRefm4tVuxWbjrv+7o4fmTh4g2a2p0uZaVHN494CgB7rtrK5inmL5Ia56wJb/3NmLAu7xfj+DBi+ohBczVsix4Xk07G3K/S/mw0vw2SdSVjAP3H66vM9g9sbYfxPQ/mbw2nTcH0z/Du30d+8BFdk8ZM1Mv/clBoeOYuRCrH9x4HCB/z3sJ+aV7sALbZPJnFfufmaWOErAa3nOJLYwgbl49WTvYkwL2ZtyADq9H8jB1VmLoNGixCxu0me21J1SfIWIOKZOZojoHLoVyjTwyAgYjAtpZTWmEQibQr297Gio3HdFJjsmvh+HrzKEpfFkDXtfiBrEo3zB7X45RN+cDaEs2wDP7uC7+OW2B75D7zzm73fJVXlIUPpuJUMrnI+H+Tzlaxu/0jbPbJnW/7HwA7Oy7sg7Qq4fO4cV5rf7ro9yl9jxWHLTR6Rb+9jMLDHikIV91PeTmWIRLVI+JqaUUwKM2TQj8suDAF2ya9uRB1t3F9MocY3TP3GQGvopT7b96in/SfHusovPjYM8atPHwOzMcdHo1wT53v379vIz/aW7JAXCpgLjwfvuc4mEjBDHzpQ48lJwO87m0smcdcB80+W5vd4ZrH0rW/Wk9zkA56aSsnJuZ1azNmQ6JYM8I7DTWXEB+dXg8w3raGNvM9Bz9ADY+2ggB7qFZCTLSwr9UjrVJ7XQF7pTx4N8GMEWkEB/ERfqvhlOgPTzvDLTQzk3d5qgPPNo9IabimslP0ku/GbcU1mpmU0KOYnfJJjOHUs756eZnZsYuZPGcJn7tkFhw+ZEjmRPgMTTEYTaSF486tGa+BOTINpI/rYBdCnkvt+YRONIncK+noumzLcxcBTO7gHCByrucAJM0mmUB2YPJNGcdKSFXcGcLv1un8HnPmjHgm/Kj1eR1F+BzCLiG66Cy+BvoB6sZiZfa0m71PKXA56izZFiXj5STMLfnfRMtn6LQlEem95EjWGfCRtsRcbbZO0tq6g3ziUsCmJizOZYD+buT2q/aeBYnoKUXDHocdAVo/S5KB9Cso2Wl/LzilTjG+yaz2UOM+gSa5Q2ywUcrIPmFoDOEOSPe8qxISgX8txLJtQ6xT4atVVrL+jojIggf2bjNgG/wPCgvymFWyhIqRxt4vvrIii/AtGSDe06Azxf1unMx4DNFXYohjyq725DIzHZCSV5IwBT9xuyOQS4y05gfzfDqlYZ8Bk/fjDzLKemp8VsCvZeO5ArY8WPmoMD7WrGNR9ajntgyFqdbsX8CVytkghHE3dQdIFeuZP3ntbQBLaxuoEkrHMjO3GOz+K/+8OMIz50WnfHPHhvnVjaAKY3ABUboGzD/loYeq10U7F3EJS/vZq4inzS8WTWL2HwuSmBH5bAWItVmlpF3pjZbYS/BOwa8gtz5qqsEzdPD2sRNj4Db+HE16k9WdD5hOMgROmYUM9AqqHFCR0SPTeo8HNClTybInjr23njhVU4I++7LyjhwVmvJgcNQjlAogd9La/s3I75kGwviLeLUeCMaPydSVlR3ZNyaXmsOeEcPTtJj11/wBJp21bNi27Cl2lax8WPTp6ZXn7/9scbfrVd7QWFPujpKC7ST2n/pyh2LmtVgroC82HIssxV4Z8RjHjK3nZQrXYkhD3vKHjaltR0UHeDfJc+yAN7PvFM7NXYKHIf36Adi3cyre7AI+ILVDdjUWq6vuzbgAFEInJiZu8C3w/OGZWH6Q84X8054NFjALTDwaAuHiJLI1sfw3ZERtyXLNixWe+PJpdzZ+e0fY5LUVrma+sb8P38jwAn2+l3mHupBhxB+s9wfw80KWCBLQa6lY5dEIwp04ETD7r+ZC8YPf9yaOH1WhcERZh1DO2NBkldIS6PPS+v2TT6uXpVvaW1maffd6y77ydhuA+8R0WhLcqY2sDbA31LIx+iz4f8upVa30pFpZeMSr4OT0o5lA4rKkbylA3sq5H9UEf5JxyQXIf/OhWXDO9kwzm8pcM98Kl8aNizXLgWdFsLfZmZmPFjqmQ78RibyafywAPX3dOo6wKazFFtRFcwqxznPgMfnhf5sJ5mmlueWjj7nPWgKkGCVJm8EckId3mbmfr34RlZb3q1B6JpT38nFDfKLJtxOujSSnw3FnAPfJYwvpZiNRh1pz+ff2VLWDdUWRLrgLkFIVMCpK67gv++8qkguNdt2kr0/8DS/agIXMvIH8LG10XrDLG/BQ+pgtr3URRdUIQ5ARlPu7J61mQ8l7IBDfmGrf2MaW6bGsGSmvtE3M9KvmbM9Stu/NeILeOd8J9Fs+PDrjl6qAuVNr99SC2LJIjwXCPY46PS1c5jxWXPYRdoIEWtnFKiTW3YGPCusQrTsn+/3atyW1Oh+x/tRgO+SbW+SAr91urPp0GmiPx8Y99cfe1RXyMXfGWNW5eLPmmNzpwh6PPngoutA17vUzD0e7EX0X//1/a4YPrvclM7tB7i//zsfEQD5KKRsXM55gJaDI93c/Zsd/C1QtpB4BjwhHzU/b/CoYVnIgVs6rRHnMn93gAsmGYO8i4i5cygAie+cAj9k6C0dbxT4ry2omvMRjWL4sve2vKgCPivWuNV++IplU8MJn/moUWIO7x6txl4K/zS6dPaOfccD4NF/HoDmfJ9KkbolA1wf0QV4ZlXHsN9DlIC+vmQr5GRhI8G292zUk3RBJQEje+2N7HRdCfVRbvo3Rn2G/YUhN0c89FAlEGpGOSir2Sikv0GL5TlSn8cYG9+Vp4A8AHxkOYbNBvjnj6lrZx+3nEFO+K1rFvr3Wf9Xs8RtVSSw/2473icSa3nIhm6BfX8jKHkSIUvY2xKw8XBkswtxt4D2eAiOnRbyY20TX0XWik9X0LTzCFqu4OK8HMWNQB4qM9d/+XDaOPC5ma36yxNOtwhyrvF0T9vQXo3vbWn7byz8cnGsNsdYAya8A2cBPIqSB3F2D+ANQc7wDDHMhblHMTO9Bvu7BizhQejlFpEvDlCBtgXde4TveuJQmlkpv16zVMzJMZof3N6ZmQxn4LJSarXngSppcXZk76+1ni9NqHLCIU+geYB8xriNPW7yRqFtaquk4uWLiwa5TpDpLU/ZdqShRGY2nIR8xWKJQcejVgDGB5mZ1y7SAXSdmb/gkKcSyYyZdQF+0FNgFrAW4cG5mv7YE6P/7m2hgI/Aeo7d63dZoCNFU3Tu3iH7zOXPKlA28I0ji/2O9F9OyXFQs/mbIX2r0M6ivaI1mjnktaVyk4KI3aMefvtBfOJ8uW24s0pt5m4kOlsB16e/M4cxX/XRzGpuY/4BeO+0AXlgDvuKd4OpdTX+r7Qol8zRZiaORziaK2CFECckjZK8HPG+CjnHwB9qyoOK+tcmvD4B+3BjJSPvu1fv0towfCMcYkrYYWNLngpmiQn01pQtqXO+0OHrd49AtvIq3nl7dwYtOH/W48b8f2Ht7c9jAWsT4RjHwyV/vjstm9PM1k/iJC6mGr/qD4+hTmkM74XZKw3MuZWsDg4GnQL5IkYVvBf/GIC+H0OnjskCenylPfpotHyrgi+HUIiSgq8qUrNxfVGTtPlausZjmNkzY4DWfzWcNHVTnj5wSEJTOwfYAXwIh7VgD871uXneIHd51ybQpn9hnw23PWivb9AiLguYRZnxX8nso7Cvh+d100TAT/qve9snMbX/PXiwe+3Dn8pOHMAHqx3xToQqYU53A/7uYetr3bvdUIFmLnWXpYE00ZGnUWmbM9u9lRhvsdveIvsqQJdW65hoQkrR7QkjIy66EfbQVRXqVUuMG3EFHqrGlJKw4sYLInXKXr21YXLbr4PHRgQ6N9k3feMwhH4ke4Ce5PiI/lnpylPYg998eLh5ZAfNMDxBT1ZsSB6lqaex2UWJv9oDnxfAIwa9sCB0GsCkY6w8Fs8OCfCxnfCsPq5WM3HjO76YnjoZdwe2ounXe9ftBOicM/z/4sohfj5+PTKaPVpxXfNRHrmzsWWgXloPYUrcOiRmCtfBjGsy/vHG97uyScJHjAELzf1H0AA6sYFTM5+WPd9tZaPPapw/1Yq6SuOFavUwHm2luK28CO8i6Jiy/dx0A776pMTgXcx9AR49ClyNNaHtcaGBV897Mf2zmDnri37vmlAdJoINaqlG+wfygamRqACfzpAbN8AzjYfqXVq7NY3lpmHcYSs+KEv/zfNljsphyzlNqD+Nx3e6Jnvgn0wa7sQzyOL+mg4khrx/UkPzhBwuMeCU1GdPQZSWBfz7SSGIZW76C9Kwi6hIpjTkHuzsidI/rw/CYkxFpKzMTkLB8HcVE1fw0qn1P3dvJ1ZpvDz0boH15Qfb99nKB1VgU/v3wQCfW/a+MbMC8KqOuNe3lEKMRvOnoM2DIf+RO68azutDCX3jEdmDzBfG37hiei91MoookSySGzIMXuOimAbS4ra+YYqAm9oeLXRfh3NV8/lm5grI6Z8HOdqvGe5Aw17TiC8ixA7whdfvuoIms+VEcs42julVlMAF6aDzzFZehfitGpJTZs8Ix791m886VlqNsJsRaFTR0dr1E3MXJkMlOeT40tqs3NWAmcjD1F/59O/F5yNgBD81T+6l/q2hnyAeQP/yU92zZ23OAIQ+SMcWZu5GwySltLwbX5psVIT05QXyT0Km5Am5NZYrmWqxPeGC2MqyPyTCXavLl4Z1QC95aU9Ax20rViS/vUmQQ2bgJy7k2kmOyUrD62W/dt95YTyRbUxQuLaBPFDbh9yC33iIIW9nbhMoB74TOMvsc9Z94Ig8ZIBe8/UeR96ZNhTgz6qi7LZKJA8c9r1CIWiO5AK87xs+/w3iAknn6lBXPiGmPtnzFueB6o90MP0/I2j7n5YzO3d94AbdClpi5eG7vbe81/m8p2IzSH4maYD9jGq+t7CZQD/wcNlxG3nAcUD9kDtozidBX/+PqGtrT1T3+l+Jg/Spl4MQECWWkAPkDohPKQSkShX59O9K92v/F7Nn9kxbNaz8Dsk6rOAzZO541RlkvRDLB3bZPQ90R8NtSVbkll1i/NIGHP0Gjxz8N/7rjVkyb39w5Hdl2b0YiZ2PRORR+Swt9XVYtQPrMJVD/8hWP+SWvOSOTRpL5o3tf+XuZck198EvmHMjz9R74GHBatRXopOlEkpn/fJX48Mdy5xf5GWR5BAzd9ize+AOSePPlTAN2uBzo4aHU/N/RpNc09j/YeD7eWTvBZvdNEYTsYkELPvBCA2MT53YzQnpiA9aIAB+et2N+hAXIXEZ+HpwXlQ/JU2EKEA7cRKl4vOR9qA37OmNhJeN5P82B2uiYihdeH9CBQy8wTw0DviuaL6YOTqNzpY63/7q4kxrRPRfzq2uhs+nisBPjHs3tS7276wkJ7HSfhlg32nl9ktjTe05aukp37KyI1XWT0FqZgt2KEjH9qcO4WsFr1JqKk2Tko9mxmRvmfttCb7mL3cu3F+xQ5Y0f/fKQj9ZuG2buFxh3S9nZvq6tF88nNyM8Yyumqjw/VEHJBYhakthP6qOV6YfBeiVW+7+80i+LZpemjkABWCXV9NXPvbNO9HQ9JqbBNcng6U8vlwxA05g2++qt8BvLceUJzPYsht1llOab8faxsPR0ZmI9wtgJKiNvenH8pH1yWBqF0Q84aP9b3PavV9ZaL32sumPWoKffqQ2zxlvb1ST0mi4Ktou0la0dMktpdzk4H/QAtab/ns2wT9HBuQp4KM1lu2ScDF3FHcpdFUN6i0FrKE0ND7PUeyvjn4ETbwBDX8SYoL9kEy1o72GheaeUwPeVHmPL9KBndLJDvaN5D0GjmuWTPOH1MxJTX3r2HaiVxCvsAecBdSOvKvYPzDgxTSyX72CN6DVj5i3BzUmV8BLRnrgETGR0llaIRJzA290u+ktBxx6WfOViFKgmAj+rYSZp5iu4KXvOTNxq9oqnIC9NWAUvC/OL5mDXudsM+j3jvzOA86s0kHXpte8cZM2s+af84CezAnNfjXnaW3lgrYFffu7/4L0LlES5VyiHPArHexfzwDa1M1WdOGOtwC23Kv/1UlZZmgjs/S17PGpERy8M4q5szjMwVe6tgkNNaWMFOAXJOmSy1ngvel3jl3wuhTdqT3d0x58JAsXwIsn/bo9KtA1tSY/JE6fJJR/c2EA50+mbsDMW/6dh2hqUn/n95J7OrIVYquvOflvdrwwPUum/CSWmA9zlPfznZnZ0BwFoC9msdt+n2KQjT2wyrD0Vd+48P5fPdM01WjA+TYw5yNncyc1gm0OwNOMelKF7EBS3bmQT/w1WxX954CatlPHk7Jvy5Ti357HoKVH+dzmgK0eaHMzyxmp582jAYF9YL/u9dApnrJzhz5MLabhxtT0aBr0woftjRWmt77hnMZT/eNueskyO3mrtfQkxLS5U65dlVYr+CxnorzIVtLjW+o0ptffJdMkOPf7Fy+vGd1bOdLZweJO1rUt6H8qkByaWC/NgG+g+czMSMq0PwqKRjW8PyhVJ9ZrUwVhAT/9roPs7bAcfTNrHXh8GcFrgfdEIQ7xS4u6oucQi+oIsflNBGhp0++CqRn3gDkiaaXJu9Hhk2n+g53LWg/zhnKCzLyNkqukGWavdN7NvgbNOLnnPrWwmVW0yp2K8JsI/+a1ASa/u2ekbjJkVzaaPu7TPbcUEsz+ZtS/ELutJFvgaZegDQEHQjshDPT7bo4rMb/RvjU1nzP8jBgU06HugTs7eVT9nOTP+cvMUXl5B/CrReruwcMptyzUNbXkhIXpgjivuS3bRsg76Dc76y8e6/tVjQCdXXivA93LSO4O5p4e9lpmoxXei6XMLNB8fqhwc+WBb9PiL+ZBP7GNwf7z4IXAGT/1+nk/uv5kch9kwK7UuYHPm7xqt61Ej2Xpfq55rGNu3e5VKAWst5ODMsO9Mvs8TAWPGLyLjHMvZzIn7l/u3KbezYjEe7cc27hZcUvQtORrsoK3K+FXBZ7kpgQCfQrY3JleVOyJHSTy55YYlcl7+056PlbW753bha2m/u5m54V2U/Bgsk9eZ7BEACZXgf8Qnd8CL31UbCHmHLKKWp6L7VQWezuj5KfW+E09t0U9MltEwKHmPCQA1OvwBTtbRGi5NqvPTH2atLxeDqWVjlN1Cv7yvt7M/j2F26kaLmbu9CPvVVUzLtPQO2QUr5zKb9iPU+lsT8CDXuaAlkfgLYP2b3456E4/Y+TtuMoTsSfQ8QnmX1uiNGc0aF8xf8lZ0jHHPvEY9tmqOtPrWESeB3wF39uCnrNdyX3G9N7EO+AEtuH5HYWZvUWVfQZWOjjvd+CKCxWeb+rLy6/5B7zqD474nYzo1UvnXjNzBtReSIxFNcwuECZ4bWKlzmSbjrmg9397daf6n+mRbCoNzKyfkJrpWLCXZKER6/bXKgJBTFEsO3lPGb8enM1V9t4J4u2Vb3OFnwcc1C+KfnrMJt/gyb16+AR/oTc0atNz0VaZ8FwZg/4C4KsHT5Y22+S6HU4QR+ClvVOEgUk/XWlyrRyS5A6Zcde6OeIucMjrzKHEo9zTDneAA55i2NynylOMvw+W9OlATqWZ466TFX55Dezt0iJYhVtYe28C/y9qMZmcaMA3FYvYB45SUTb81jGOVQ8qkbP/5Zj1iNZMm/5ZJXPAs4zqg1IOX492gnl5yib4OdrMInhyrUTOyrsCXMwjecJIW2y82GbWn7njzpwJsHDGwEm7JpwvOJxZI1653zPwpIzTSIs6zjaVzc2fHSbQKr7mqopklppZBpZ3UKDRKyeJzwB1rEMtcNmGgHYDXXs09b9mzhvRJKbOzMFXHkg/m/miOCum193ovnGnUvagCVn74IO95jqBz62OtTPD38E+GmWlLNNHxh/Bl+1Tljxzux15oYW0pACN64jBDsHZTqbOkbJ301tC/9ZlDw3ELHlhr60G0E/gxdNVv1HaZqQADnSnkMSa4SDpc6SmmuMb6BePOFN3pkrUEeg+MFKVO/E6/LTKnjmgVY+Zu7cyDjpPYNBgySz1BOtJXprtR63tR2OpkoYGc7EN2mID+7Qzfcng99uZ6gEX/E0At5j6FdiLMWjHr5xPYd7rYymWoim0Uw/yi6HpkAkd1BE35+iSsOSjMpPY/t8vH+xsQ03PEvDKVT8lDfItcBMnKZQFemiB9b80I9+Dfx9B96RcLC2s54T7KatWFEhWbgBPJvi7Ezb9N1hjamQfJGwhnlSkQvzy5uJoqZbTFj6sMrkAjyaydT0sC+t0cLBbDzvalpRkjSNNvd4hpagHPNwLQfagFR4YvKIUjZ2H07GmpiYFWdJaJHgMc/4ywv7//zW8PevdzcZuGyiUdKojE2j+33tv7EB8WLNXIf8bcGRzcLyQDt6b6pO9/Nrm4F9PdTFdsJkHbss3FWgL+Ns9F1hWYenQ+PdM4gQ651XnqxmSC++9LHN0TpmpBZ9s8tuzut2lfbvK/+oDH3wtPVNLj1l7BM/5w5+3RVkXqx7bY0bLO2hJzcK2Y+CbG8fegKbiPLo42Lq8cmC+aXSzz6FMmwIn8BwfoLNzo1dN3rlyk03phC7tJHAMYqVIfmdscbd1IY7uzEoAg9QxdYjdhN6Oi9Q9xaSvAlkQjr9ZpEx/qhdXPurVdIa0NuDnVwL+g/TsenD5BZ6tdf7aHnK2vfEI/P/Y+pUVrmddPkxHCMCFp+CJB/j6BXF5VOFtqZiKG2ezAI/8gFazcZ+52EleORWmx6dOA/AOobcH38lkkVhkeHd5CBg34Afwq52vrc0dbYEDNGd0hBV+mMPeqSJ7PRe8gPW2Vb/A8/bbVJu6YPnIKaI554eK/t1J8Rx8TTmiUNqwhs5EqlHlOMa3HOLpFC4HwvjYdK0FMbcezR1LPm+qnn+nQ7mI33vY5WHm4gJnZ9TB4P94wQczEwKen01Yaj3uf681JPRoAZ7Z5CvteE4ifJOWPkpry+BnekLM4EebOw7VamYdlWxrehf3J/GbWye507j1igoat9+lk5oYsYml3houv6pOgvb64+VMujpR4QQ+AyXwy7RE33Ht+7WA5x8RCb/fK/ZYMOhrGpj7Dv2W0nABLoUYuTzN/M58t/04scsDh2hikadF0X4T8MpmzsXR+usPcFcMZUeXB0fjCVxSSu1/UND9aiUrY1MGeDlm+Wz46Ac00Fe9Zgv+unmAdyXu0Y49t3sVkWva6bbs1aKYjuUov869vtchcNggX59LA+eVoC9moqcnC6c3WigtY7aIol8y26eNC2IfNFIOn4UFaMmZds8cExkB98bsUZt+IiI0uU1Zuu6fGD4r+D6bcA2eF9zfiF8xv0vZZUMLArinXPDea+qyDTP9sQRo3vDhqBh+vpinks3Xyk0mbHIMrISQVXI8ooq4KuL5tjQ6XYTzpEyuwphaZ+6/HZ5bCdz94so4o/DeNaqykT0o0izr9Vw5NmArIkSDn7U5p+6/RfQpYAcmpZYuo9mzZjcH8M+vCz/NQJMr6zc/c9cwdcWcf/GvuQNNH8B7fd1lr+AtrLxf9mk4JaJA//XM1yavfQHvjAXtMeK72Te5cdzMnHO2AvYUaIyFN9GykZ3uMkvHtUA57GVwomjh1ryQDlyg1k/Q3a/7ZUZ4Yu6KcRUQLmFdmKNgb7VrNvZuXij4nLZDTa8fC+ewDxOh1Vx9wXMOZNL0/AQxM6Qc7YhGOLeQUDHsvWi7K5ltzh2+Ut2+6nzXasWdGjhvgIcOTmY1pv8m9TcQnq+6qA/A+ZuJ3xPyRxxuQxKG8O/cM/cootegHXTHI5Rwxm8Nan0ygk/i5ZM8530dJn/5bI0z2xRJ0Oc4g/dh+nrfyqKlZzYv3DFebX+l4C8rBzj8OTtHO/Vob3+kIvTKlQzHNdvwrrRLS1d1aEP8oFsatlwG/hvrpwfv/2bsdtXwcCTodjMnQgWmNh07Z0GG1NZzSeXMXfwDcbCSmJDMsq3KDe1skPBaKshGfC17jaid2ArePeinCw80rAh2+EhMreKutJvHnyfqTW/Q+dAEflEhzsGIzxgpz8xzUL3lMYQ4DvwVvADs+2U6a/wF/0a5sI+in+68xyO38BvERM97Waa0HdSwX05MhiqQLhHtqy6gSzlfOJouZ7GNSv65kNGc905a9CRg1oSOK5pAf5m+m47xtILqDzbMdyxsfmZqz+PsmYYPr+F+cXD4cjJnCcV0rZBG6eB5SmevzxWZnvFVDpot0Kk578qHiVC2/WgoqSpT2xCpIht9IkIJXg7/QNyaTout0u01NV5egBdwU49r/lG7fgH7ZUnj1jVzps+anKjzqvG5OaB7cd5PoDdU1IytqUOOqKN/D/iMSyGwvxhbfF5MvuQImV7ZZ0Z2oMdGMrQo6zPLzFjMHM/LmL7D54mrkNssVl7manYG3/yXjx1PKw1tE2ff4EM+xG8Pu8ac/bP6Cb6DWeZcToLKc47OA7ifh+AmE9wx4FDMWJSs6YCzepVBJaY77j1c6fJa9aB7QwmukLzOUgqIO1IXyZ2buT+WvDVMTjRApXKQl9upVTnMAQ2/M/XLuOf7qn88KogtFvt5inCg+tD0o12ImYEMfMIj/SGfsw0Rc8RUmfujl7axpZ3sGmtJ0xEttYusmibg9nAlAm4pU6tZJKnJySJf5tzu9sjDbMOsdq4olyVPAAO0c0IcfGwr8zgZD5aX5iG7V/mMzZlI2alX/vyGxZ9ebs4hx4nTwtegO6zz+G9zcBVvXOk0julPn4AfVDZ2bNDYfBD9u6ccpXGho1K3samfV4O+wPO5mvvojF3utODPc1deVZz99f2mjO9Jry3SKeu4QiwE6Al78iSZ9TxxdGDB3iGcH5XrW42jnmeKXGzqO4GvSPD5m+dS9V4ou9T0Q/zNncNuBjyWuDi0QxY3L72Rwuu3qlc8D/VUDvapYtMHxNM3png2fZIqF/uA3lcWAlNZds/iywYXl/vRMXfs5Qo/2z3T8H5wQJNFnpkhVIIunkWcRMBfP5VTPl95Kekg387Dts+FbfpOsdRFHWhZ8P+SKdjNNegV0C6koa008x7AP36zLgNMvpm80h3se++E0CAEj6RAfW7NMWfKZWxzBW6D1fo7W57g/y8VeD/skgfT6JY5xIXPCNrbd+C5i5T2HtEMsC3Zi902OThtWzntSUTWPQ89CR4MS4So8SlmJhqN0HQOeCRC5TEzFAPw76UBMuf2oOHsUWsBD4HMXJhWOlvSRPMeg55reBscbR+0c+pSd0qz1fRXRC1o8IpwX1cD+mrQf7NMz7+zTNGxBr2QmvvHgIyllf3dIQrQzk3EUb7yuXHa7qw/7+VqeqTuH+CJj0rYPngUQYA7YU9gM9tKhmQHvroF732hKMnTkACvox/RYZLb/XoOvTRj3gg6jKZIvbB336xorlbAsIJbNDR9RtE9LTQGzmAZs0C7o1PaqSof/3l0mNdULJQ57w58fg7cVFGnPaSaGLz6EtzHlcktckgIHJPSDs35/87ZPHitpBQX8Bn4QJH6Av10SF195yyhyjL9+HgC/BQABss0tC9Nr2KZm/6LnoQ9+JGbHKSi7ZTAWTnigpk+/mNyAX1Jcgc9TJ32aw3BLwTn/nM55VuIANCj0XKlz/kHvEFehfYCvnKnrHBjOkpUYbJkgMWZmIXpbZJyU1ONNkebpPU4rWmswB8nR+O7BVICcLjIe/U3Qy0NfAZQxs9m7G/0WEm3X0rRFmXvzanoQYMkpzokC7Zm1tgqAc8KGIu+wEsf83671hSb+tRDDr6KxFOSRo87o+RUWmjGdjuS3asXnJkXuswmv4NqKaqBLGXfXFnnV5XQX7ll9DO6n7vscQ7f19zabGSBwafxJ+3nSPV6rQp1hGd0/O25KQB/Ldj7DjbnROAx1Mp6/Trv/QF++gHOhxhtE+DDqbJ7F/bilGq0aQZ5l9Zk5vzuFPhY0DK/+WG4QLbJoySoPTZxs5Gjv2m60MGgn0CPmvkr6+886lBW2PrzKTbVbX9YsYnTxPRyBk0B66ltiNUp7QGbrTkE7sdE6JGGiTg+3+3fM/NwYybgfZHw8sR28vzt3wZ7NR2WAl7XpYOZ7/2wRfB39gX6Ub8BBiGg8oHF7ea8m99kIUXz24tAdZL72SnsH42V6HNfbuB5E9BileI8Bz2V1BwBCaHxzNsoR+BXrOnAdQPcsTW9j8CDta86Kb8ap+yMWlzaLZa9bMuBgLZq2xRY579a6Oz3Lg+v+AtHnxvqvAPn4McBNEYdzR1gkckBFJkrBXY2gBsATeGCcNy2DUsG4MBXvs2D8mwRwEGnyOj8aQQd/KSdzszZMOtN/wG+ORXYrTuFqw5feZikKfOcM8IloUpKMZte32Z+HHgQnVecnJpOrsxuSa2TKP9fP70L6JiFMa8z3iQHXc4i8KArPAnA0hS8Szo25vyNYfFwJXu3Dlbmco7LE9U9cPdvDTnouyPm+udECWjQ/t7EoJijbZeNLTn/j782LOSIR2onxfaUmd7dvHmaPMoG4R3rMeglLsGbFo2NM9opp7FRWg4PD4Pul6uasMa3xk32DE3HalDd0U1AqJZmtkrB89uVWuh1Pr+TDt6nw94zWH5wSzPn8YeLWauo/cmKy0ZEc54XCT64oAt7UpJV3ZX201JYLnh28JPkXhe4PTiA2ZrYKWAvp+UjDVAvKO7TUH+9Yh50zcxMmTBoIIp4jqPSPoEvANxpGTLn6KWLXX7I0b97bSfzeSBOHk2Cdp/2iZrzxdTkutuAmejcW7C+qjM5szxOQSnbLVv/atstOkrQGTqDPXTKevBpmkzNkAySkjWzEj91LxZGui9dtpbM+ykF+ThFhJz1vyeL9hZxtva5t4MaNGTWJffSTp+HlV0rG7BsVPMp/+vhf1Hh9ofvQFMDb8HeXcueAw5IRoW5kygfJMCSO58P0u89kwt/YgnLhDl3WTaA6w7w+D4vJAIPEhBKtOz1VX69ryIydxzI5PW9zswtNhCT67mH97/IATCUYVmz9J7Rzwct0FA5002JSdS8FdxVYUZxytkCeiQBG0EwrDsH/kd1kPTg62xlem9E5JI951seQZwN2es+ZU8Fv6Rabc5UaeDyuQHdDBrRUeGkOUMjxPyTrXIv4EOVgyQl+GTRlwuL7B+ImQU8IuDc56OE78+c5Ml0dlUF7sBDgkZOqsP6l3N7g/0JPhFtqP6d4RgSinfA58AU/pIVflKOfgIYdifD/BR9+4D3satRaFWC+FXQgh9W4I3JDLjyQwT+zZciVnIFX13WtE1JwZ2XTzmPCHxmcq8Gm9JxbzMHvE60fEukiFrVG7cTgXfzYu7Yzlo+DjY3PiTOC3SlIUa5nWAmzJwA6adf8xdosV0dqYr2F+Cztgd/88pbtupwCpsIxdUqv7Dw9jIGB+oifkL/NiLUHkHKFuHyk4E2M31KToGEHb79PgfEA04IlXg8TJ1+wxNzlnkQHfqo1n9OPWJ6jpMDfObX57qae3Mx+h+/vSKE/WgEknXHrjVwnxpau6Kl0wxzLwFDFTyX/3KcGk91jdUU8v7f3alaQJdSErYPZpEUvPBVgr4iq+8I9jdfD7xaauXc3Ot+urnV+qRgrgR7fbA1AQ74Fn1qKwHbPfROovMLHvfm3DKqraXPXV42DLia67cm0iL/T4dJ0LdLxVtT506ITl555geg7aOZnQHrzE/cD49rCpjR5qmTPcBD3CDud7AelQi5xRgeT+Y8tt88GZ++lWgcwfeWtD89GsoZ3tOFhMimQfY7t6UGTi3ZX4/WAvbVw9wwAnevleO1oLdAvaR3050od8gIOO2CByhF4ZfgfyPa9w7okntjSQ/0kukDHVIH/GQnP1KXVMwJwWfYA8RzmFt8zOPwb6aJ4jIlnfwRgQQfsg2bUIMXanfAt+V5APx1iZUNiwdY++TDXMF6e6APO/CaIegnlMdq3xTlnejLveTtXQ1kwoNEsI+GVEuvHv966RwrCzhVtDHon+BohR7up6PoPr1zhKvS9LN15K5cw6V0smc9ADb0SZ91cuDDZHJxd5L+uzdjvwiU3VU+D6BXU+nCyjjeqHrTuf6vd4S5A9Sgx3OqQ8BdU/0nLyXECGC/IGJ74wW6N+A1gGOXTP+7i0DNfEWHzG1sYvG8XvnU2Pq7HnilVq2xgO973jaAxbpiM1JW+tI2lRm1lQ/7a4X2z8bVl4bykcb6ykb/mvZTwkcVqID8lENiZ6sfYxt/kQiBPtzaKVffHPhHDd7hYC1ftGvfqkjH0jb5BLdHE2SO+F9PQgn6PDH5u2bWPWCeX4k5MrOxII6WnP/2ydg1ol1zM2fFRh9yzZyzme42Iq/uCEg5LDE8dWab3kOJpF9zWY8Xi9rIMSwOHunVQ/Jp+q6AhgPNh8wsahc2ki3RFJMo2WDnc+EDGQRXOfi76DeHrf8Ezv0HWtiPUsBw0IFfJZPl0fXvbPduZ2zuUoFAb5h+wI+FR3+5cx21iJ9x/EaRXo8O350j6yrGzyuPk/ysS68asjWn6C2nMj6PPseDl4mIM2J6+Tub1dSogQ6rQIPO5j5aCLTPIw/W5LeG/FqC53p5IsynG8Tc/uiYvs/JlPW2L4QNXhX26fjvbs7G6gg/mzX5Au9dwtceK1OfZnrL9v/NLzrHn97RnUDf+JkQ8pta6k1A7B8t6dT6NaNw3qmIxMxGoKPUkgcoPFp4X0XzDfDuaWYhnb+2H2mETnmMej6a8973RUY2cHLze6auwrnNOlVmHHTRgCJS+Nes4wEgbq6C0Km+/nrcJWI0+br8m4EPN/V1jJeb9DnrgwXPS5je8lvMQPNxCp5AzCPEjKSBqYvFqelxlq/pgmFLS81d7thPk39LxwSwWEWwb1tWoBcvU0H3m1yQCOLT5UW4ZG7yBrwEu4cfIaY73vmlBJ8DfBVBjIAGx23N/Q8ezscmbJ4Y+T4ZNYG9/XUWZEMRMTPEZCm2AuKUN9y3/l4L+IT0ate4xKcW/jhY5C1fQQsyT5Mu29DB9lTQTrVu75WN/ZSjVERJyXqPmbN9OuKl5trwxw28dcRAN9Hh4YB3WRhwrOkd+7r/4p3an+LJA10UwD73K0df4fMPgIvpOeBuM6AP8CwLcAiodPBxhSJpmBTw3pK08A/nMGmzAu1hn2Hu9HZZpA/wrxczpwmjFtW2ft0F5Fwo0EJTqlDpHq1klzF+yQvOiZn7M6SAgziTSIbnYjrJeLrQYUtSe7JTF+8BH0+A6W+C+hszzxeALis738uG98XMwWnEAn5O//WspqCrq+LfXbr4DnFup45lNcPW5oyvqtCx6aVSW9KvQVs2EGvUndYmXGzsWCZ/96tCqXsO22+q9ayc9mFmCaWhpIxzK+v8A+Dn6z5Fgm4NBNIfgPdf5n2XXzNPw5ZUoeFefay5Go1HyswMQ4TBP+E8DQBfXX9qXPxWrf4bfKafvMOn84CnSpuzXG79P/8eM/2HUT8nIe1y8B7YAY0xvDvAgUmN2qACh1ZZ03oKEl9G/cIs9qwof6tBfNYax6xrc/AyjBQTzs3sboaBMy4PcyeFB21xNl/guT3rAL/mcbyZGSYHu72U4t3DXzP+7f0j7JkO+Fn39kYUuGQOMnc5Yb1KDvH2xe22B07sZWT6t5Vrbvq32aCF4uYq++lWhckuNfP3Bn1tTBXAy8MOj9+afRxP3PjRyiEPCnqRMjICf2Tn4dPCX0ZHJuPR0il4E1B1JpJQdLCbR73btmfRBvnQBpmYw4xtA2Vh4EzkUuQnqVB/eV95bM7NPtd0bSXg2Y6OuqyHrVWtvelPDl5icWShqBSfVxlIO/+ac/An14PDwRVuP5Q7hcyak6NFMsDuvukQaGxUgeY8NExVoBteZ8tEdoChlLflmNjgD30Zy1vG3t1UJEPdGc/tR3z37oHWvJTODF6gdNNV0Tzkl6YAoh3lCXTPvab/PIbM2f/7cu7nzVn0D9ybmiT8ul8uMgH4sOon+LK1CdCGMaNB+Ch67VPuxyLSSNp6UP12qAQfDw57nlD5NJqG2IkUDHEiFsAyFHImGfDAvQoN5yVHZc78XfXSh7IG8pHR1vS9XLC7f9Io9HiRPo+/nVUSUx8kVQh8HNkX6v5bK922wHd7BmsJGichXbLLe37H0WUBdD/kASHc2Zt++1/ncGPXf/3nb2s6cC+zJw7+Mm/icAMa3DFzdTIndEzvAHM3lAsbGDv5yEE3n3fbm3KIIAOfAafAl/plZoN+h/BteuLjQsuS+xlzw+epuJgz6dcaPiTL7iyavoALMXilKx7KJ0GoPDptnrmpU/ZtkjvJyfS6ZswC73zxyMgH6ngdpT4TQQM8yu7nAEVU+yugTa8KfkvDrZNy/0Ro8jrHXmHtvglPTueveUN+89EIkj2qaPfPw2EIvkY7IgQ0Yvz7aOYEPd+vZSGdtFM97PkyBU74zdl0piu12rDuP69Hq53TIbFSa76ev95fnILFCMq9g5gKpy9QvvHJ9K3R/eP43GaVYzDdC5X2n00R/v/M3dnkt90OK2CfKDen0PSaRBvQQ1XeL2+gc+5KhPes59dMAF9q/+tP2wza6JqOcWLuIHwu+Ecebvfmzv/EwCOjFpz9tssL5pXO4yoZaJL8tqHOnKfanwDf+hPETt63LhtwCnrhmTvqAA71jVA0lgK99PyR2CSvUULzcZrMPHJzr0wK9cg13+SUgDTQBS78WQ6bp4z5F+hcT3HunbuEwz+OfMVfol/Aw+FnZWFRmb7YEK+kt+N0VCfK5pe28QnnUe1wYO7tD9dmnua0E1RFh5WBCec0E7ad7+YUdzjMLGX6NtsVeP1SmN74aMldHzHQSqw3nhdB+CyMdQrlLLTKHp3A97248lJZwOeFv0kHiCfTV25YuiZaFhXa3yYPBXemN0XoqB50KktM35iYONJrQpmWvS1Bx4CXtMtMkyNxli/QxzPrk8MJac36CTTOn8a2G6ouVdQ+Kz11RPMDh6eDTU8HPsVpnywC8ImBR5Kh1FWMHoQt+SnSRDp2DLrcpv1iw54rMPjtJnxsWKTCzP23pMPNEgEv4Hm9tOgDvGdfD0iURdLnIz7V4vYgjrbOwo4J18/GuTiY4iMWC226/V2Bl65ccq2oqSchHrY8t+mTt4rLka3JUjL1zHjzUCO64lgJEv71uZ1K6oeA8aH8Ap3jkByzaSFrcleh+sA2g3hQThpqQWPmpRbqTkX4wIOyOTf1KtMM+ue77PEmd7aTqSs9Or2ZaXsE/j+pIaEp/cur3Jv7/TSSfQqeCJ6PU7OJlRz95KCbcvDAjYWf8OfJ5L0BXh2robXPMbjRcOZ5xB3Au8XoU5O3UjoTIc5tUax9Aufaps7+DHv+hRsywGs6JgVQOz4VbS9F8sGdJKPh9C1AS1cRs2QheWPOAh1yI9G7UzKdnyPTe8QGLYkhhvWBuKRrQENkjjbzP5aDK7+xA76on1/zRhf5dbOb0P6iFJl8xbyytUtC/fFbS+b2q+iwOREEHCyvanhsGltRoCa7dNAMzzNn/baUrgT/TA5Zn5A80qE0/74mz6PLbWa9Zprc1ircmvuoEvAZfBj/Vsxey4GsOJogLubHATADYu8ttf34FC2tHKY3FZPB5O4frXfnHG4/WLC/Nv3sN7DfwIOSqmcb4MBvicw81c8XL0u6e9/UvRKivzlNZP+cKF6qaDsDD4OVarl0dMBZAm6Bi4wmpsb4WjoeBh8bgv9jPN96Zz5tqOtrEV3W2ibHevSZfM5V1s8P0LqvmL+eOHmCrn0ToTZnuZoWUw/7YMysLehY0HMcH0utA9CfoBTbyzlEcc4+n6wA1zR4BPbklHaNpSxypPFlIfCcqGOtJVW5GGC3ouZVy7mUwOBlQQ6mrydov6Iq8AE00S7vPm0lgEQB78y85LOZNTbMXt3zN2wjkrOlopHlncJZSBFujFaodnN2RgQfLG8HQik4WPqtEvh19rXJw3IDOsImQ2azHss0bnEuUHEu+KUK0ZcoTP5eA2xCwO+2Zt7ll8i3hr/YueOg4/0VD2a+jCxqoU585cVJPDYV9V1sbRbZJa96vTLle/tkWvBGfJCgL48WPNev9yfotxV38ovR1vTs0bVLbE7xvQ4V6I+Ewb6nEDtuLZYPqX2fOr/zYU9N9HvPloKX+hYx4J3DX/VfleHUKlrAt3nHU7T1mqC9EbG9kji7V7GZS0a6OsYk75Gp2y5xCAp1hF3AfXwE7QaamEmB4mrYenTl4AnSp5m5RdHnSn/rbv5qigepAVrif9Yp1vKUvwOfbsw9jU2Fkng3v9XrP9A5KeiS9qcZTX90+LmR9512SSED5kFclQdwdsDjgTkTB5wISQCaYGgRrN+zYfNrHuIsrX6BWH6m/e0OHmQk1kx5pJ6K7u1c6OvRzMwM7aEKTJ/O7E61HI42LkBPlDn6tzQGdzrEwK981L38OKGLy0L8VQsylZa+4bF8YW+WruiDa5KniBQEqfu5+FwFQoIE5k7SP+TCs0VMvtKn6ceAxtxZYtB5TxWRh4q1zYveFiFoQVhfWuAUeBn4QPciRA9z5g2889Lz33Llx1pnT862T/CbJdF+QDr0Q6zSaOVQdBq+Tg6SERtz8HOgaZQjRbZifHC2O9jrEFjtBvgN9gsaG0oOtAcEtebRzFQC7fHyX98l11fwv1iGU0QZYH1HfB7JUXB8rTSeGrHdAZ3Dn9vF7PuT4N95r/e5/u0PG9criuWatOeR01wsNhubB41bCtogpUx+NOHl5Yl29Zi8wfNbz8MSpf3inXv7Uq1kBc37VfJ/VgrxW3YteCyO6hB0T4hQCjoBdMeOCL1WoMHzqNlAHEesJ48zl4JGvVXb7SHj6qeJZPzCDeUAcIDnzYfkcbB4mDkqZtE2YQX/UraeCEMJ4FDJQ1xyawF+1l0eTwJ+liBsOojB1M1pmhVtVlpE0BCQRn9eG3PWFkkmw+3LOzCi9bUqmiXvtwsZpx4/txEOkMUF2RtPomKV1EHpSUpsk4ueFr3pmV42AeBEjCw2Ig2eCtZ/susxhR1PwiqCdWTENfVeJP67G2Vp0GZYt/CTeAo+XSt7EvwL4jNSVxol4C11mUZeRVAbnhhowzi9nzn/yiyS8+K/Xsxg30zdySIK0PIUNIgLXrSAFQv8U04///JtpHMxE0yvwAcPwKj0aJO7Gj7XvEtGwPHobPonua1Vdb/52H0OWiGNZaoGL8NWu4H1/CEM+6XzuWkGvKehmb34O8vRY1G5prvtS2OLo9WYvJZQRAujHHzgII+YbUnlyq8U9kmOyhX26Vg5KC3FJKktfwD3dA17uh50Z+abMs7BTbQBWUnadOobcAwUAXjC0HqQmP2dR53CTxt34EqHxz11+b50mC1E5p3DNmoKEoF+fKauDMvV3LsmXspbUnf9IiHmapcfUtMHYwc6s+MP8MPXU+RdCeo98DmLsiYv391enuhZ6osHmnp3sDHDEdllFj9KW5K88INsgNXtl6u0Uyfv9Cyi+XKm8sbE7Fcu77HmYzUi8P2JyHm51CJcz0KNoLfzozW1DLjo4L5q9m8W7x8L4Cdl/QKMQuB30skefKkNvtduVxaCR6MlxCD3WZFsjmvqVv3N5LNGqbVfiJaY0cQHjWjyzhc5LDca6jkbGo+O7EHc5OUd2lwnT95v4TXVkwtkyRj9NGLj0oB7KeM/55j0KUUDeGUz426A73+eueLnTmei85/nUTt4nB7ZaPog3uzKVjvZl5uGmTvzJadcvWrAA3Pmde6JOW97NLCKdOB92cEntXAEfpJn/ZI0TCVHCwewFz/q3TwpNDEc8zc12G+V5bFMI8A48JqufwJdVnKIU2al69H63JheK6+zZSmkydW6AD/Afmp3Rwf2kCPDnD0WoZP5aAHvgG+t1v1dOr/1ygfJtCW/tn1q5tZGpva6dQ/uxeiBjBZJcXA/YV+TA3c2zwr93cPqg6WMbk3B0zwYkjthtKndmh665cHayqpXgAsqUqYXOeiEo9tuVGTdIeYAQzebc/e58IhkbCDDb53hirCpuVG8NPP5HnL3P64ET5+ZMzg1mJpInJv5Q02AZGPJ8WDr3/NGwGSIyfcHrEentKlZLV1FmzuOTW4j+LR+edR94zSguXJBUD42izmPSKnamzP5V66+yb2A9z9VoGerYO9m8Ptpt/2g4mJyBEa16lXk70sD3lkJ+dt7hQPmymErSwtfwOU6mT05asBO1XHTk/4D4nEsbcBMzkHP9K9z7JuZUXceFDa6qbZIDJzSATboytwlu+QJWIdSi1/N3ErgJhvie6AcPKtOPdBeu2b059pFtqnHSjn2arHl1OSqUQQxLp8pe/VzmNOUabsOUFe5v97CqiPjb5LqbPiyl1yCfmIOXmnP2ybcepWb0HrAM6z4By8+XWLmFA6WI1d/D/pyBu67mr7E4LMOZ5Fcye72Ou+9caELrpPu4Mi33OUT8N8OdCVPOSj/vhWlmQsp1AG4oMpcLcoRveWA16QHzjQzwmF/5mt7zcTES0ZEU2QL6ISUBK0lxn+LCJOXXz5xNwFd5o9EmLlv+pQxG7Q/Av+vZzwg8Dneoek5yd2WK2eyMp5eQb1/Y6bGlH8+coSCdLAsRrVQ4XwiXFEzw4asoHss5uX8r5fOhUYQt8N2h/v3DehLkkEEAM+CWN87WQ8xvmovH0h0puoOUX2tHBzAnk0aZ5uDZjfzmeOMlQ82AC6aPlKRBL+3SMaRmRGP4Jm96qR4zTxBoqkCjTfXSFWgzVfQKYfSsTWD1+SRN2MqWzHYVS1a3ghvpJbl5Cu7SuA0WeBHjfjCOtwROzV5XJfabW3K2ojrTxv2yyvv63ES2yMf9CPT7Ql8XcrccqNGtUmBr2Q0yZrdrthVk7LR/ehOP4AVwf/fQQG/K5yP6Vp2fgWfPcxH/RBI7gWaPmpUPmUgdRP/+8vvPQXYVxbyZewT3LUfGeNjPvK27DijK165Be/DDTeNUAsTeiG/DfaIxBATyvT0/DKzmhsHYuuKYxmAf3IAi97Sjl9Ttv0W4D1e52w8lLvGlpfK4TNot+AsUpNzNOMwSbH+B6uSWfW438Bz2pzYZWWrLs+ivyu99yjoBh4lLuwTlkaPJw+wY+pTM81jZYPPM/NV/zdbJz0F7amO+5X1/A4+LpThwzoXgC3xxVNf7y7g6ROw15MdOpSD7I5r6BLNzOwXKkPuHi0lQEcCp2FdO9wiQXJIC/UE/7kBv7SH/fCqa4N3rQAFpp3kGD5LbwN6XgGjJvLc6sxuVllkVzqSPWh4QE3+gXmbVM7NIzwh5kxIjaal+8XUHWmGAIeFpnWn/bqH2A3T9QTe6KUB6qG1s/UTfBd5siGxqelDMXIHvPUOU4SY3ZoeVyO4zoWanFxTX5PP5QmEUNN9OpjqrzwmJ9CQFnAyoYE2M2km7rRFo7Wm/fw3h46bTHChnjUyuPPPydY2wqs8Sed3JgTinSxJmBxyC2Maqe/KmUzPwx/MZptpEtdF6nA9MW5tcWlth1No5o6ot/y/Oe9xNmxfPT9hv6l9vptbNsoe+HZMQ29qou2hXnHLuvae95iUA9+pWCbSzCAFz4v1xEnYhueAXClVH8DD4BNNrvDerbsEwWu0TGNbjYl1CmXyWkPmbL8OK6al03YqaMF/h5bJgT646lC5U3VwpgfW8H6i6ZK6qemrPsiIOxx0VB2nnnS8LxU1wJ3SpjwBTnh3SaE70Pemn3kgUNK/vJ6yFlL24OWAI1nnL/nu3WmC1AMs/GCh+oZ9Xpxh+RsNmnSc3nj034zdyv4Ha9lmBLROCsgnAgxxJstczOYue8oKMwcJdOP41wfmIwefA1+jFW/BPZreHRJ0NTL3OCU8sx7D66dIclL0z4oRCWsU5ZF6MEaCc7is9UCeWZHdj5YuTB2W4gTeR1KIkZjeKVnp/vUynU9Md9TJrnJFDhtLT/TAl2Hrqh4jak0ojbagLHRWd7DXn/B8XVCm0UzKEfTj2sblSEyPaqe25ZFaaC252p1YYoMXvYjIsms+vTRbmnG8AJ8+mKvNbM9cAOvX7v6ZmR5gYjqk4OMbMVe5JatMhw/QmXElbMkYfkA8FyngOPhBrQS3S0tlZJCxmWcvClPjymwVbpe/58XsNHNMj1fbnDkabKFsUKjpL5sqQEEebbF0wkej1bFkOJXWZdN0Puyd1syXXMqif2CO7wS8XWNtf3IXLSXTca7xJbe8namN/Lsnin3w0t4J+GBpODI9+Iqmt/PcaWVa/HNYNAWCzW0N76l24J0gXWLk36sgkUyoNo1MvVSzoSiR2di6KcXtCXxpbm2e6vnuHsHLv+4CYB8vqWW52dd25g76bjixM9s3vSq+VSeTkjWgh72BxmaSn2dOXyMs7K4GPgOPK0U4TdIlP+Yuuw5BizjLjduKnmFVS9Ofd8UvXnYpw8em/9ykXfogg7kPn0rQSl9NryvY3QfAgDvr1JHa7bWK1eVc+HNq2bt0Jehg6UmIjS0HO2lCe88CFDe7uaMuLgFTwzPyM5OP+v+vFZ/1BG5oOp2DxsJs4Y3JZQ1JkjJPcpODWShMTM4bvB74ouq4wppzMysimYij4b0uVA36mFO5UrEciaUS2GMfpkacsQTeZ/vq075rQomOrix5p8z5LaptbPpYfJ0pxH0+bzCSb7iYLufO5F2gQQShB7rUzItZ5eAdG2F6JM6HPJxn8Omg6/67RzoXPD+zNqyC18zW2+985XpsM+mC8uz6h9Q+7INP8FWgpIfbpuz0XY7TNSv45RxtSyyS6Pic36rx8gAdWh6f76Aek4XYuiWxb85xTpyZ/vO8YsO8Zyt71ZvPvCg3OPQy+EzlqfAHYLN9GoaOCNtvKXovdR7XE/93rawEeGsOTI1xKbwVfGcEHnVDO/U4Bb5bRVszR2aVoHlLPpl6oZ8mbI+wji/vYFfWBH4JgQbnT9L5EBgqhn10gD1+OEXNBjRcWI86VBYG8wkarZee4gmTdlLC9/woAS6Gpc5hlR7EDdh04h2t28JhT3IrcdXw14s7xkxfYY/xKlruLACy4MnE9JQcnZmbXsCEkzcslqABQ0AGfAUN5MhCx9S6POtAXSvbzAomMysIbmz8phwyVJGiWd88ADt38LqvNQSvxNNKSDNv4ABaycE9Aq8InBpPprP+XUTYzHhltc1z2Gc7M42pGfgH07/5OCs2+qHwLT5OaeXYLjyDWYHPrEP7JkXr1Fy/cg9uqQZciLzvJgQdFvFMFMgG/+udwQcR2GfAkXtmzVZe8CE3dWEDPnGk4tr1D7kmETY1SKNMpZjLElS+BJ8CmuQIOF8o/blR4m9e9vfRWvysaDbKssOMh9emK819y5cKsyf+84jJR844eDPwMB3JwB/9EMGWvJ+5OY+UkXKpRWbQa5vy690io4LXlAPX8qce5csTfTBKetjn8F+8kRq4ofvnghee8qi0qnyuTrt3t6S6bZ4zlf/19fZM/e6pwGW6NqDrtj+n4HNzdEE7Ak6UDrsf7Yv55eHnu5WxV73ebQMx/AO+MqoGy61NX3yrfUjXN/NYR0oT38wjyvskyZ+3VTBm5+HjXlkmV6N9GI2Aha5qDoq3f7hZFz7VKnU6PNwK8KUytWfuXy8dJk3fKNMXsNibmZW0jpFtZnETx8xk8TrC20lEy8ycG2hU5OSI88zRlHI/rc0ZQIjmCnHQWYCfZg4Y0l+/+VXwTCp7Snnwdz7/w+PpA1tbt3ET4+twVuhNqcH/UjXjtbyCFrrjgT2rMXVAJ9whLnra6ySNU9hDkhrOahybVBFOgRd+aNeuld0+Mo5iFvtrWfjJ65wtsyUVFAXgJ7MSngfpOWJinhibr/lg4xLiV4xokTrxgcfmiieXzCXHVJtZ9K2sC0RlEa7EVSt8HlrFANqxP5OhJSIE/RkuLz3fNzF2SQgqbAA6hadf9lICfn5UQ7OeizbPTLmYMH14IOZWHJkZvfBz+pqj1cw6ykz/sdhkXZueuPMFcGYDGmBfGl/DpiMvyP/npt7urEiKrEi633wad+pLZwmAv46iVw/F2q+8A08Oforxycx7S397gFrqRh3vDVubK2D1D+gXr3T9qCwSJLi+mF4a0sxKE61VU/w6q9zUtjYzhKbUSS7mzlQE6C6GbYrZdlIQS3zALejNh+jIXfLkDWv/SWNt5YPMZJEQusoRmHr+7Y8yyqOZ3VjCMmJAnUyQTA3eKycQAT8e8v63rxNhveprixwaO6nS1bea3e1Rh6Chwr1XRfyndpCHreWOHfDc8QU0nv+RWjyGrbBJLZnlsS9qp834kBAmtlnm+nsSkOB1Zk5deT2hhEPcRplGF8BelvXTnVHgF7Fs8vAduHFacNjyetAWpv6NOdL0ghpUkMxH29TJ+XsMfruh6Auw7iCCvUv19GDh5HExv3L1owpp8PdbkxNWctfUNUwPxS8eYMcJvMByFlMG+yI5a79Lf2eaEFN//GF6Wp9BR8FnCyqWFAz0tBKPDXi7rLHSOw3I/rgmluT8Nb/Shj1jnXhS0jW8nmJJD85vfkvZiI2DhQTvW96BT364TeZTtBwz2l4w+K1TwfUZScdwWR74fm0l8BD4AYe4qELss3wOeT8VObNfuXMR6L/LKbL3Z106zUjM3OUvPuqnmZOMeXM/91txsOxvOSKL7Lag6W0fMBRw5f0B2PJgFi7PFOKvaJfUZUsjSo+YObzFdDJtqAj3XzH/aCLe1vZ0VJY5n5xuooBYt5s7cxA8l/cFXttgufjNtzD12FzFFfJ7+HuJ3cSuivRJDOdzwEXQzmbWugzJ4wScoUZw9qDSXueiZm6m6PlYi5tXUeD2GJ9KkdyrCKRfjzzlEsB/f0eC1s+tBCkz84/rjYhVpCL8AfEZVSDiMle3UpfXOtQ2H2Quhwd4hB6099+crDcW4T4X6EiEdzuD3koH+wF6EeMOl5XlZeZuC/DywgbpiBinR8cbpdtsQN9y0/NMGhkIXELCTzczvVR73dWdfwBPhzPgtJSS11nlkVICuNTOTKSLjMM7i8v7KUQOcJ2jYjI1Np/Y7n1tzM8aLi7wT1dzbp3ipCNfW5Cc3Jwr35oVVs7W8XmUe+72V8AgoxecU5TcXzUjwA9PDlwMGGqG3luVk94PThsRBP6Hku+mt9zK5t8YIbOu1hE8zTnCrLTmDvDOJ2aO5qj7zMJ+5eAreKgFNEAK7CtBpwygiV/YW2ar2qdjIpp+W547gsl/89i4gM8nLblPn++bUwR6APzg8bffyCd4SBKaeaBH+99i+tGT0Abf9Nio+HNDrWQHGrQHv/+l8q3GwV89rMnhWuXXTLJOWWknLzW7OMSUkiPETe8kuoIQRhyeuQX6bzI1XJn8erfPg/cD+ldzKsHP2wh04B1w1szM3ddmPmfHnMohu3L94+VTM9weqUApW9v0ZOr/aTv/d/YFpmBl1xPVcWbNUxrKQojEB27PcZ88Kotbmd2+pUwvTURmwR4e/b2DutkCMJS74ZVQEir2N7M1PbotBW1hS/BwZtZA1WMuGY9yUzDgho767ad1eYp+wXWkwwo8AViQDx4mOHcaF/CuxQ6+mJkVGPwqifYeNXWTg9fBPng75dvXOcCxiflH5fQOL5Cf9xNi4FG4Bhww883tz4U600kGOmSmn0WR2DgiRbOqqGI3LzN5R73sTxAH56j1OPdpKeQptTxSu6kNmEmz4ZUDMz+ykYBXso88nHacbVZ4vwlm8gixN9UjzrMRXYAvo5Khm4zChXRJxJzpo1rR2ERb+8zUhwqQB3v4C/wAzUbTL6w9ciHHiiLg7+T2wijgroVY7zZ39a4CL0qH7Qre8oMjGWC2Ad2H9pS2bwwRRv/LgZ5wV14bBriu2yceiKShl8JX85S34iTkEfblN9O4JdFi5p297mFj8MmbkpFrptuJxJ93iLukisqrCIBTR/jeKEHnsPVEaCMR9neG0JWNlzsO0em4ps9y/Lfka7qeGNqAb3AAz9ZKzMDtzT2PJmnuv1/ahnGTcz1PoHdXeI077D9zlrJJeXIwHa9U0Z5IPA3AhbRxdNA4W4jn0pI2P+aF6ohOTthVmhTyXlq2X49TeUbtSe62Hyq6uVXnv2Lj2tifq9IM8LX1DpY3pOFm+c153c05thJPgUeWIyi7gQ+pC3xQhPeG+w/AKgE+Gvxz+cSdjlLh6TxqJUfTmv4fU2e23arOtOtbojEZ8eEkIDA2chBqQGeAPIJBYGITG3P1u5T1Of8+yBhZcyUxTemt51VT1fMPgcjbMZoCc+br/9Y4UFny1mam9l84XdPg63oSPJTg8+s1BF0iFrC603xsu6OpM9gvSxXypNIJBl8esbEdaof/ZIMaab/leyuDMTz9qAA78HuQx+VfLYJmUJtjaNl1H8IzxhHW5IfD30wF/qz70qw9e3z8d6WCbHA/mxpTVdMjlsfMbaikOXgzEWjL1NWiUbM2Q/tZxdmdi8WDdx6xon3N6RHem3kcTonVWnmXbqip+cuZRYPwWYfK42GzUFMnK/btnMoUctdHJlrwonwxsxS8g393Wj9dkw85bO1qlQ/ez4fTiDd0MFy6vOYBHnjVPahGzCH3mBqwtfCqzNQEcXFbx6qC/HxNLXRpIrZROr2CJ75AvLuE6vBY7ExPqAPm6kAijtO4Ba92WXOD6aZfNXB4HW1f8/MPGWKIa/ub9+Viaq+kQ+bIcGqB+z1pYvS8/VbOltNoSkyfGe54LB/M+rcED8CeNNz2BKmWjNPR1Csig73ITn3nI2lzl3+WY//yy6Y33ViZvsECorhDYRWYuiFfHuSLu+oS8G79c+9+uVWAUQ45q+L/LG5qHVB/rLkU8AwLYsuoFthmnJTVcIHo4AMzNalGfAbf85qP2kMwWdL994D85ObjxU4DBd778aQRqhoK3nbYbKrAt06RbWrQzNmq93WPfMbYSm1iusYGucN5FaT339w4Jo8m6K/4fDO9ex1T8/U1j82C3/rZfeMkyakHD+B48H4804/NzKmutUiOxPSwhzwJ+aA7CdILVC6/+/5H/VaZXn+/a5NS4Pxm1hhn0PNeaLU7wb2eBv7Ky7Icpl2up8/STma5grF0kiPoDeQKr2BCuyf27ub9xU0teF9MjcdwC4yeHEUvzfwVJiFy4cmY9YIjGaY7eKx97sDvDDapuQ8667/Wv0IGY6V0p7UKeHGMvIBoBPAvP2m4PGobUxm3P6QA/bL5W+rMVLngXQotwKNVVYzM+F05JLc8QCP4CdOTkufO1vR6HNNhvhFHv9YQL3WwW49ogmeMdxDLFXiLY16Av2B2kCJMKqYeuaVG0YcO+z3XJ48sVFdQStM3ea77+aFiZh/DxsqRH+8d4p8g90kYE3U/hbX7V+vjB1vMlg7cCzBs7QAvsmnfrITKsLwyyInEbcOcK9RwlQCbXpnpe0v9uOrbm5nLIp1+pMj0q9y52W/9avSBqV4xas2+rZ/S+jvLiVKzDhsRs98qzXvw2KF3FZHyQW17WqhvFgBv5u8bGS7AhaZnGQ/qDjsk9vHB2dxFTETTKVeN/LO2VKyE+dpGStgjeHwmkf/yelOF8Ll2EWPj9KkcDB7B7D5Vx3okZ6Wxqdj+WY9+AaziUoFoxbb7nCYPMIYuDeWjjk3PWwUsm/QZA4ayeXAqUHCEESuQPx//eljfnNJa+oONMfgPmw4LjBC+ZMA0jVBZs/IIuDYHXXVyMYWskPBzm6vq+nvqhE8yJMfGml1Tt6zUbYTNvuDz+2LqduLCBziTZ3her73fDEcp5PO24+ifBTl7adhiZ3Zvm7NCcv1ngYd16hh9C2T69vAbdponPNeVUxRxl4Pv2y3SLZ392tgU4gTGrqkldAadtVPwMGWvXzx/VUMyMJcB44KGWHATqwqVi54ssiEP87AUfE/y90VFEH/5/I0dOYl8W6Whlze9lyvQ5Uz3kBMSDoyVHQNl6hf9r277xHH+/srLUebKIwmXzxpNl6pHdr22xldJYD3QY+nwjv9g+uXIgO9yykv6fL9K0TglsP8p5BcR+ObMVg/aDl5WEqNZKZ9SMrbu0WzLd5q/Xn7gN75lvr1A8v4Ezj4L0D9zHgiu18253FN7sogDOcCxrodVnfnau6egBe+DnIO13dehB3ENV8yTt1Mkz6dh81R9f601mevO1OnVl9dam9JT20S2OefcZdpn8Dfve9f8bvsUI8R4oMI8VB815I003t3V2rr8vN3jgJ/zPnnDAfmRXD1F7L9lMP6PMfZO8HJNrXuOkp6D7r/Gcu1MruqUr2J0A50bgA8EDoH9LPR9DMNVWcrJo/lZs42nrHDBQRvWzpeVrz5pmP1RWV+WLHord+wZm75vgfwAr36lbNbSlbHi+MU2QeNKU3t4Iq6S8G4/984EXJRkVUisvSPPRGy9tFcl0+0bCfXjKJIDeEG9d/rr3monHr5fQTUjDuaSWNrPebIzvcBKUP10wJCH/r1iY05HOdGew3gEbxS3SS02VzEis37jYmcOTky2fNgaZtwdzV7L83w+6SmF9xgSoELB0wfoaQGcQTj9tzJGdgRNGe9buncaiznei6N+GjblfCSsBm5tTB+TiBwP1gzP9Ms5fmzXE+iCpH6Xuwp84e887QWuKlUBCU2fbOMfZL/xSIDYabBvjdiaumibU9fqvJesCV41uGZPDPOb6BDEYbsIjQ403K14De39c4uBXX8gn2fYMnFBrjxGRQUxcoweS/7cjlRoYvoNAv+b86oc2P5H8Qb8ug+5YLtrOv9Ao+W1R/q7WQ1bEMIiOYAnegNecriDIL6aezPKMo22d9GzJ3H5CL7zyQSaqM28o8CSr/gNGPVSmbN7XXY3fXmVlYA+JwvX2Zq6iAMrv+axO9D/71PHrGPBD3hVNnBKla2yalALrjgZcIDn00gQjKcP0Al9YslnBhoOufCmisuTuXrYO3hTd9o52Pr7sGJZn99dLDb3Y8DLgytf6+bLwZnalDYugTF6eG6HEvJDhdK7cuC/VzKdxgvE2/bYwFWCxlnY9iv4utbgl6uhB5/OTS0xJD62mIjynrF22Fu2hNyTsdA7po730o2lFKXFQHfyaHOVA+hKYfpueTjn7T7TE8ojbmc6fVBhrSfRzkfIZ+XQ+oR/XUXfZgdnm8P1rKnVBjKE9yvUM7d9Bw+2qV0EED7/1U3l7jQ0tnZYoPK984BcQioRQ+4pkkEhHp8ClTbFl9H6pXHAuyHcSkouGfCCORtYDQnEL8mPfLqVXUtpf4NrJgDfJDhF0zV3m5c3z8kqn4KpSY1+IKMN+ExrbRxU/s6zMhg73Gc8ZB6LgP9GXHB7msWwmLhdIX5LDoxD0L8VPLg8/fYm6Z90TF1Bk4+KE2Bl+xWHP9RpL6lIhGBzCgwvUooK0LBHI6Yh676A/Zvr0dQOYDioYuUeXA6xmjwyCz/NHtXGIV7DNFWjFDmDeAllmI78XqM2z7jpR4lfa/S3ipneeHiq7HBRLLGoJXd8aBxgtgD3yvRcZqQDTzaSlHG+B1/NOeTG3MVlE9qD6flQ5vOzCZsriRUhH7PZG8hzJL/h3sGZtj+vcwGnIJlr8D/cxhdsy0v93DpZ549Ma/AciCrH83Kb77hFLhQ8SLW2XPCk5MOkuYXsqsAVBp96GtuEMAtYbupxgbQa8Cc1vdX+rx7R0MQt6Mg/+wTXkw+Lmf8tMksfMq6feahvFUXntF961bduaQHzWtn94JYLBfau2Xze21hShDjEzQ7ifIGXC7yjir2DLjljrhxe67Czo0T/4CFHqZ6AQ9uQu20K3ulHhemCWbaqjr/VCB8ax/4E9hWyN/PnCVzX40liDPGSVGxIfBHOxX4lQy3aIw7bJTfne6JyOUavPTDz7/730tUdF4mkHTZrkHMVGQ262OABIwHsuXdsU1Oyq3tTl1pOwEJ7UyMIeH6sOvQNeduFmPrgoQd64/eKYs3jyebjl8ejzSvm72mQbvYrWkhRrmpAQHUtEIAEbv3tG31u9MXUBsh511/TjrtZn0BWWFrTLztjOJdsZysGEBunHnHmWI7E1Jy+g4YthPv9qbdfOg+5CH1XQnrUss+kb/sUkiILQrh//iOdjZ1aclTDkuUDAt+8tJnAbfXcpqmDOz4qXvH+brhC9dtAFP7Ezu+rRPxZx/888KY4G24v7cXm3E0ayYNaewe0vkxDfgW9vlPgpuY5S1MnLFtb8FFoZTEalPMF9xnapncgMNPE+mTeP98fnKo2t/S3CNTQCHQB1qCqQMBk7StXCtXPTmrzx6kvn1V4sUEZAmA1mg0bNxe3p9DJnnfAbJbhoOR6Gsj+xHEFY3dXivQpo6XKwE9nzn+1oFUBVGWViwJvTs0eGJf/9ckiHf8UbLpmrt5kznzm4naliN/yvnQlmu7YCYFIZ8Fs4BCB77XZuSLg/zNy39vybW9pVNpo4nEbGi6gXE4V/I5iiwPPJiMdes1vALNgeEVI5mHimfpStd6ZveAI+BJXw2NTCYUbYGVzppNq0kKG47XWAbHg2XZ+JCjJiGbXUyAT4k6PPCQz6R8Ws/CHskMXNPs1zxZwS0cQG1XdbxbwZs8jk3fTRwLcMiLATg1Hz5LqPXifj2rkoMtK8gjeV2x6I/n8FIF/Y1uU2aVj7hvixRYU9BB8MGWkojAOXvMb8B5narXPNJxTU9MAnFRGPrYZZdbm4KqbOL/bNNSaWHJfOYk4gQLxSPrVauqKhaaq8UcebR2ytvtyhTfNdGD2XBzMfLfzuLLwVQN5Pps6FFW0u2Nd3o8RupyC3q76ORNxwhrTIyUmtLL4jYb4u+bkCZpm+ldGVcFx6dhJWkxzEwAPu3ptnu+WBFclO4LM7MKJE7v8v5i/kf7Xy78p8EDA6+vBnRD/2LrE+ISAbY5ITvDl1hCTpPN7hlKHsO2h6pqrEu8PEbe+qW+diUkLqpFZ3xAIFbWpTUC1o/L5b+0G9N3U0v+Wz5tnzkc3+W1zjNQdYtqRTr/AiO2Bq7lAX1ceTnvwOBvFv4Dr9E8Nf6vsMLB7uuKPOayG8lqubIV3cgZ3ihq7tGj/qmdudB6kJjY9a8l8iicvd/hMhJS1q48nQXa4SB8nNps9f07TyUM2oDRjCYwlnGROeafCHljPH/nwDhplzhiBdyiAyDp/Bq+4EfHfGVUBHjsUQbg5WNqj4uLmHZFNpGdsq0PF5kPmeH4T6FQ5KIQ7TctVu9XAq701jRXih9zp19MAvrXXLYmwn4slYNZu04RoYd0/p3T+dP5MXTwI7TuK+/95oLBZQEOfoveAWTwBXugTYu2OgVOoc3lIRtZUk0/g70EMieS2IjgHrYv0VTk2xVYrT6j9UP3ylobEMf2d/6cbHrGmHyWWiJgaLjahKkAlWZMos3krIntN2fTGIPaARccGhRvuSl0WCfAaEsDAh2ZEOTF1McMpwMAkCvIYsMvYjM1SmTW6uHz5lPwo+qWh6XLqPQfY55s/b1Y2zLFa+XdatKUY8Bl8uMZCgt58PSnoD7VuwHil6d9FaZRUud2mMPbno5iO9ccWNRayMDJ7FmwKvvMV87SO0FI7uyWj6qiG9ysPpMk9prfjh6nJlo88xIjP3AmthsrkGLU3+JczHpIPHHEYQThgWrUQm8Cz4VIWME4Y72G871jMP5T23157RVJTKxm0yPTuTdm2O1hkZFy3edRuKkfugIlMzXL6Xw9JqYG0HxL54MwvG/B9GMdJRTQwQYhdFmgi2QxszJ8ClRsYc+jUkRdHlWrEn2LszT6ISLn8zvvQ1DPa71eITzYdmk69Aec6DJHUnN+BsXMRPDQ1OO+ZQz5MfYd01Loc5Yfi7F6FS1Ey0/8A85zdnMolr31EP3nkwVfqyPB9I8F7yjG1wT+Nyk0dGI8BxNSPMjVnAwy8p6paf9ng7xwa91c26k/T3zLV2lzvs7EW01sg5SP6kHC/fCUPYMK/s2bKSTQbgAx1++RIVaU1DyKafVFoPw3xja4tA6YwO1DAo2Oas0WXInTYKCXwvws8dC0dvUnNuZf4slLUvpWW5yhrY5/GBDTm1XN8PsAYCXiAznl4cSQy7FB6lHPEChKz53zF3NTVsnelS/bYAk5yvJ9jAONQ8L0K3x05+tcKfT1BK76xPVWpmAv4+QhiaxZi27Pz9jXnsE87Av5+hoQ59YoTubc2z5Ino7RMz9yHqbq5b2KdU/21wPeHY0Ac8FcehE9k9sSSyJOpK++qJ1HFUwee4e3EG+M7x8qcQYKM95q3Med7az2Rva2v0vUpsO+Gs+zJi5ZD3qRlJ2dg7En03KIczblIEB3mVAxs01jWcqL+HjTtymD8Zrx81tHGEpHKJJB+5oRwTX9zX45kFvgFj4NmS04lxJQ594FW3kmH09KWoT7kRtdW8nnS03qws+dR6EONpl0dtXHj4LSx1D0V6GlqmkFc9NzdmX0hAg9TCXnjNbf8pBYagbpbZq6bAs9BDtjb7XcOLAPvbUpR8ywHYgOH2jCOtVnXq0I1gZ/uzBppE2D4PNtV1rI/mRoh0Qx+hzAVWssRGKEu8Ku/3gxx6IIO4iqchtz+epj6SHmsLsAmu2bU+9r2ezruHmSwrngwe8QTU19laSC1nbQPedY2PUYYZkDWnIuDxTzSaUyL0t67xrv/rXH0++d2/m/OnZxr07djmBk8Mxf08KGAXxRrgwxwgxk9tJbS1BEHn2+l0fQGXuibdwlch0xEUC4k9IjqkTlvBUz3dW+izQbG7ssT5ZS3+hTJDJjX7JO7qyg0efXnxKbkGPTAInqAfP1WD3w4afKT9nKhWmPwCZ+Vi4LcRqY/9lpFHCLJx5XjnbNhuZXDfFXh1NXir2/gmRSIEKF28G4fZk2bDx74YbsDXdXKaszOevCU/A3465ez0qIHbfm3Qs4qzdmOvaUuVfzlVoXeEzHtSPzvUTEE7E6+If6zen2tcdyAB7cRK4DdKS7xx/YoRpSBZt4zM1/U8d0xWuZmbQdg2JJG8rePnzC9oGIYQxHasQ7dhDmZSjM7N3vrdfag2s/gXr06bHf18NeXkwA3fFKeWXvX9IH3M8pNbwrsVz0wwfrlAWefTd+K0wC+P5S5FMlMBu+7WgmBcQDciAbQXvBv4DJW6ari3513SmaQzyB/e5CP/q+eeW+belNv4NUiahawLBIoRyWpk1inSOl6RK3xtUSDSe7tM+/1g0YoOkZfHo21b+pwmupPkPNSBkxTdf9scALgDyTEzPSoi/YVh125yotAvgPcJImZo+taIcTXPWcogJxrTgZkKjKTxMueUc0yMVd09Xk6LBT8eXBkF5s5ZGGWPFILO02hQef733kDjvRSuf5fDzUOUXCMJ5eKrcie8Ex7r4C4LzDzDmbPOMTXzBxUMlvtSwbX288oZ81ddNp43wpyr5f285WyZYJ3Y/pCPauit0/9lMvzFrhYvWJjOViLFmH7mTlJcLDbOWV4Aa/jCYaLI+cFRtMHFcQivWfxfjlWvN2Tnh9pBNrezwmxwfv327AqmOkVos15bfbqsQLsDPrzWndYOE9oM1ycmpE9ZR6Dr3DvQG510UpdYJTYZwLy1kkkwWlINpWegH2aJ3A5URx8oQhXaatbCS6yMeebCzSX4/SJHfSTj63PVvXKlRqegy25f9nDmEw5sEOvCxFPE3iOtbR93Qz9IjRf6pBPjZvQtGgcw5RpoOn/V2fVqwdS8hW8vUZDHn3ZteC7iuvfesCv/YfNL78k+zrEhh3vKU83OfI/+aASYMUf0Lio6vgTfGOyd2Ze53NEmIY8pjRDnDbj5XkSzQaYbqhXYFrQddCMbzmGML65t3dea6OmtrW6UXsHz4oke7d1KraU5HyD3IRppkOn4ZdN3aGJaPRzjGR70mZOL1s4+EkabuFd2R3EgKVCZVjvB3zO1Zx1PgrydjT1YEb5OlP8I0cO70pp8FpXEqVP0DmeO60g9u4hIV+J0P6pzfz0wK7gOT7yFcZCn0Tgsys6IlpSfwQWAuZ8WHRQz9JOvcxZHtnA+8OKEwwe/2/fcoh6GB9vwC0OeP57zTEp+/6araa7C6iKTW7Y9bOynxIWp/dq3F2PAYN83D9xrLv8PBNl5qGRCoXW36dCQuZXFQ7JcuKJk+fzq34veBNvr4BiyvO8MGD40zj9VGu7w+O0kkDnNcWQh0FvhqnII2Bq7QeUYRfyqpuPfiJXH2KXhznnWT7wCyv8HeMJ3D84pDB55rH+63fDgsRl7m5TFojWfblRw9eVgD/H4VZAXDxkoSO8Iquy1XjquV+6+M4Y+MIV707RjCiCLEHVA8aulQZ83K+yy/vLJrOVW3KNa+uv7xKrNd4fVnCAth/s3a8VeGhTr80V8rf9u16k/3m57aO6ICkZtscmQIRq/MnA6+5dVB5RQveGLbRPTmO67F3CG1Nc2gLtA2mr+vB1X1mzNhtTX7xkN8vwHnD2Bb5s1XEkEQ+aPsHVignuMAH/U5WQPmnhXylNihNX4BVRWAtseo3OtZhnZk0+jrxv0E7wfYhVkNP+976AixBcx87J6L+FUX9R1tcihmWiNLvXLkeZ++9hGJed56fMt3ndb7M0vDxOXcLgM2RTTCmj6gb8ZPGOt7VLBBZ2D/7iCD6k5RF6rS8Dn/3ec1na05hq8Fy9THiBrjzfAuHpMKP+EfKjD3kmTp3dSsG/yJXAWHisNAidGvHC9JGoV6nr4csSQGq4kJ+mfr3Q/9wq+IuNhcQ6Kh3wFOEGvD/fs48ta+D+T8OX3XB9z8edC/zumtoKNWhEHpU2BS6p4/J/feuUl2rsYofYkO88zLVFWHuhlH8Ct7l5z1/7zBNIFkEdEYgLf5/axjNi0FxCwb8up0DuaosfSmsHn7FUnMtnHezcU4wLGpZu/buvZClNjVnw62Vlwxjk2OxBysyayB68PB/Zay9WR22SEL6z9885JhovEiVZpvlOOTO869Bm6J+dxtliakSYc1TKeXcy0Hf42/neuiwZ5J46lCmLpw5iLMIIEdlveaO/1rrbOaXgf/3a6uftvl+VfXB7+7C2njhvXfA/99Rh66lrnsd8C9ygtOy4lobphKzUsHlgZ3o7POfPXODM7KGsTN4MgGfy9zsdM/ib+gm/8wO/8/LLu7JrlkY39xPwK+gmhq/udH5/UMHW0pEJ7XqLrC0GX+unPYGoUG+1ZR/KHp/FSC6nKHWrEXJkxCVoM7w/+1YHXw7j6TUdtN475LV201cduOAC8mGH9pAvOmFqDtAv79RJC/TmaeqXMDe5ldb0kMDVPHp3QPPOKtjBPcwDE8w9RbrHEUpz67GUfBqbkVNgys+maC3It28vn0JdP5dB7xhGyXp1N/t3wTJEavS1DLPHwZZVI+QP037f0KQnjteSQhIR9VeQhUxG+ls6ECAarXX/u6/zAXl/quxEstCcRbRfz7DEz+1npcHzunzHYx9Vvf1GC+0qttg5sGjDpwcXGj5fjXW4dY/IN33NHnSE/DNsJ8JsBnw3ZXpKge/WlOljbnniyOYnt8JF8Ol1juPBOqUPlvTl0Gwas0fU4lccthcmID87ySfwecUtb4f7x3oapgsVmqlIgRbzDXi+S8WTkLuaYTGhym3jNPYlcCEGnxWCl/GO8V8P0LSi5bOJ0dyEYBl568K4/KQWmdSwgC+Q1PR1If32WwWq5Y73OMEPyeK3X4nmru/xrrweLOWzkFz5YPoIT7QO4F+t9sPUpeWUv+ZS7oonD3h2Lo5VZc7RAEu/YaHeePDPo0V2xZHeNDbZpWb/r7W4gtk7Cl5QWfqogtQlDDwcRbNiuIMc8I2dpVXWPNOwnZTpv/5/NXWXcgBPP4ImBi14Xc8xdeaarnEzx3rC+KalqXkZPq4HZ7OYHJAOnq6Li3cK2LUc7DkHBgfnWArULnSVRQ2MgUMvwDb2M6YrDs/yxaIn1vqlnWxo8W9TF43pmXGEa3nkFkCEswTg7zLu2ClwVZhp01NsFtWwhfygRhCtwvRyLtn8mdrTygJ55/qy1MPyqEcZVQHOTnH6WruZczaf6xB5vMffqU6OJ9AvyTxXhbgHjj2eztszsAvgfWL2oXxg1D+y3lrhPX4faWkxLj/rYdrk8HyOprZ/1zi51ZpezqgRU68C/VoLSDGMC2ZLUz9qJ2LwKki21fC//RvgS2rutzK/3WFsXDOeTMBZ/ZHZuCrILes9qiLP1FC+pF1qlzQp04HQRjwW2n/da82psv/qSJfVyoGL5LV27Etj8QCuw/RA5jL+2pDRv5g5mWpMbOpe3NNweRBXH0tbWqZXI46lVgKy1SjFKdrG+7X3+HC5sujigkYcmj58NhF51YK7S82sjF2uHHRHgtIfIf+JLvQglz+PxZSJTtLKNT1vk4GYPiYxuDfLYzJEuLS8BHTYzVjqMcH32DJ9QDxf5bMNfr3IEcpMvd5XTjHnrMnq+0eGLdGpn8YyvVVJl0eqo7F8AzbL8zgJT+FuTTvtpLpZTsP2gIdJpzAuTgHkl9Cw1s5mZu6H7zxVtInsVCptfASue41ljPnuDtkdWEN3ak3cg7X9KbUm4OkR4aFFo9k+8naBcbqkTA1l336KIjR183LMmyfk9I+93U64wF7KFSPA0eARW/D6H5CrCuOh/3iDzQlF+LsSoSU7YjemVkPHrmKwc+PzzVmLpsCCmz7hYi4yV9PTwM+nqEW1WYDtk2cVkvQYEYhK60ki3lE2fciBjKZmD+HypfP70kqqis1vREs/c3SowLXDc8mOqFky63I/8tA52MlCO25j0ca1tVzK0XekUNfK/a3TMWf9xtSX7oBfD0cqf4AJ1jrwF/CGv+skr/EF4xp4YYmbDvHKnF8060SBDwz1z5XFBPkPf1a9ySFLW4qbwxzbyx18k87D4kzPTQwcu5LzYdV7yNPI9GYBHe5PIbwzqvXBkf+L+Zupv5wdo+UIvmaXh4qnul2zp6mXtXznPFxNbXcJ3oQBx5GBoxzhW2aB1xl4Ciz8SQXKcGR6ZZj1Lxh4iJdqTM1ZSFuMZr0ufcVGbtbzWQzs+9yGmQNmN1wuwILC9CYxPTeP3Jcqen8wsYVn0ts0+u1J8HuuHbTmwfvJ7HmYxXkeQN+p6aUGedlOId+kbHmwXr/eFz7127XpZy+NkiDrUpcO0wfE8ga447/zNMx6Aq8AC3xdge3v2JI37vA3GUOGKkwtrGypC6nlwOCa+UL4ZM5DH49ct2mYQrz+9a0AX3KxqPWAcSvL02BjbPa20R7+Zrvs16+NdP+Zczj9wVVHFUvnGCTf1Xhx85UDR23hMxInXb+uFTJxnD3T57tbnrdZg7J176AopX/1vkZ2fvdAZXvQTa1++wXpjShaw5F76cpB9cBdbMsY04mZW6VM36VFzHkQp8zBv1nbFHxZmblJpmKUHGM18Ui1IjbnnfwoDfy/c6OQH920h1zft2Ed60cGOpwKG/5trng/p9kKb93lb8Lst+mwfczni4hDr+qSN9GZs4TgY3QPscKeuZU+pMmXTNskWj4Umy9lv7zWAkjjLBcJml1FycI7tqbRY1OKiZj9DGU/tyXkIzogi+qkSM8zaLk81gx94K69mFqbB5dXae+VLPJ+0vBrk49fT2rOqq+8ZyM+NmJ51UtZgA1TtvoWXHuZW6VZW/7Pu3A8gZ+Soidmj7INHGup3zVK1eMBZQKSjwwtmztfoPl+gfXOAQ/PTQ9NjCRLC/BlkLlK5/Gqw7nW+e0hergn0z9n3MH1a1HDPaaW9105qqg0AuZtB2pPh9yVE+7NetD2TNzsCVoUHqnpx4zoKW4FsNCPEtxq7J2VM7P3yrZF9NeL1vR0a2mEN4z27gmp3pxBMn3Ncjfc0Ej2vPNN77e9ORcF3DIxh2vBfVPzk59C03u6hzhOLpgDd47Ky0NgsCI1fVYHGqE4LeRrLcA9Ftl6jJMnjR7WsUhtGeIL+MS30zh9qwg79djbuZZlupKE8n+roru1XMN177agSyTCEFsw9h1aTJ1RdIJ0lUc776RlfkTykLPpr+ddOWxtiPfM9KeoRXmvhPdzGv89K80D6ahHBsxUoeTzZHq/2Pxp9jTgjmx+52aCpGrYxmu63ZMGeqYW35yYh1SYuDLa2NkKPq3jr3kA5xRzy+gsduxvMn7dT2OSkvVrKc+3ax1t8zRGnLAFKE6O8Pkp6CKqI3wA7dcNJ1wVzFED2hxZe2QFSZmlA/DZBL7va67fRO+9NOqz6dq3cpRl6ezsWrOFOd5T9R6iMfiqyHJlh7u9i3YlxWtK8dQM2zdpauPrflVru+cRaFzQxuBtrjLIHNyBp2bII+HFPtL2Wlvtq3Y6NoycWnOoKN4dYWztbTOfoZ6gqRwPPCNitusgOdYO31eIH6sVa9CGMVtR20RIKOqDx5nWvWXHKXBLzZNzLtpADl7CtE5S4b3mYGkVJjxzFHy+HLDDed1JH3gf56ueMlt90+dM6ujmcRd5pZsUee8xGqriYPPyWGhGHH47QI6hMXw/tncSJLZk/UZF04OGi1cO6H/7YG9X8D6ljMDfn816HjrTEc81/Xoqgfje2n4fBeRSSnLww9+S4w15bvdp34Amy/IYNI9jkTgiMvVXkz3W6ZUUyZiNKgEdDYFhFhrp136b9lSk12xNChbwomHk0cQE1858rez2CPnmAs+gVw4ZQfcPNWVX4Iw4t+bjb/2ogIO2eakhZOCvfTbKAvdylYN+lJyYunT7ku1eDJBTC9G9lTqSJm7FFsrG5MLCm1OJ3cLDzAb99SgicU19oyFtLuB9DNIuC9M32QsqGJuplg5wqbW34b7PW6ccJ8pjLbICR03/V6tK4wCtcvTd2jE9heb/ziL15AD++Sdf210l5Jj3X5tSh2s18G858P5k6qJZi69if86j6aDM3FhI+NGcClj/WTJObWDlJ+vTB7D3aw5WN4P3aLqEceBOFugj1m2eWuG1chJeo38rMJ1TMhKJgnxIFx3AAz0rqj0c2p1A5SM19fxYG4OCLNyyA2ktFIOfMXskYdx6akhebAOeYpsdY44hxwKzZ5uUl9bBxTcmftd7+2bFN2AfM9fzwQr9Yc6B1RHPGtrO/Hm7YoqdY3hZ1SCT0lpMHTfyyzAou596zg4W/utvDpRzyIrJBoYqGoE3pxG9ZdovG7cdIcZ9bJka9sANAb7Lke9MHfvMncpTj3e0XzL4XFvE8NlO+JSUa+rMO4hAyE2XFcbA1dQjeH1W7ixcCPvWRLo6PG+OOG9B50ytCT+rg9bMgx94gW5coAnYcq9oe4b3mYiRPxsq4XN1KsYkyzt0ZJxvMPwOpi3Ne/Y4IXiObPuq+QmxhrB83kx3iQfozKZyZi0F6FmnbeDIt4Nj2Ed/kqi58yD0uNWCn+FZFbWbo+COBN5pVv980hyu2fP/W++cQjEkmRDJmIfof3tTb3YKpF5FpjZWbxEr8f/r74pBGx7gI6ylLEjJbXBcwItNjKbGwVpSAnmq/WlY7wK7rWmgMx43HkEImTqdJWib6W1wcDyvQfw1z2bWKbtybd9YfLmzICHqOW/Krt/sLWKfhsSFWLZZOLfgEX4oR1ezvsEY5MGxdUhkU27dvCN4HRwaL8V/6gBt4Oc2Wb/MXJM3At77tTc1K3SsClWWQ7upLfvGBiRr46/N+pqdFBX1Dziaf/JOzv/1rJdZ6QCbALuUvXcjhZoZ/eel1sZTNPWakLTAi0sFkQ9sNOT99m+PGTyzZ8pb8FgSleLy4G57LbvSyYpWNv1C00EGeFB3eM6hjEt4pzjjAnulILEMN5sqWvbAI9+pOffhgB/tF3ES6m5YWgFvV1y+6h6IFLT1xC6PUrRXsiK7ctE35wry3PRsAsRPQ3iFjGhYauUjvjWh7KpRbpjwYAzaF4j9N8W8MTW9iIp/dtO/P/CYRHA9okYXT/Z//bIhHrwNW+HzzltB+tDKHG82a92n0Yfnukyp5ofS0TOPZGj6LFTIbzOX58yZ59OAEuKSDxF5cy62KI/Mfqep+K0lMIbOqeCbOrTFK+aBZqSIHm5NW9OLcEfAm5PexsqBPBkmH8BDsmbqw8zl8vhrI8I2PgVtJ3qjZcRjKPHAr5/rrr1D7G5qrrKyAJ80qI6vrQCmes1j305RMnKaeQenvZhapHWfeXvHK7izPEShwpxtP05c9xgyLVv1A/JAyUcYP4YbTC4LZCeYMjUfb7nrb+iqeK3RkHE/OkbtM9PJq9aHlXb8dsxvME4mjK2tVRVICzG1DZfHk9gGqvA/T0FzlcO0IYXcY/TvWWu9A1ZzsPXuKd08UzPnPJC1BO906ts9xE9Sd/9gnCVPGcnytW4uUO+K/OakkTR7bb0TMFw6lLYCNq317k6oilPLsvZr8+RR8ga/f4a8eTxY72s6IpkW2mMBCUgxZU0gIZ+RKXXKVQayqFYel6DPrzhkfEL0uZ1UzHen8+xX+fsd8uzwy5b/6zucR5s1RcC7IypK99+CaeNS0W6qEb7rG0f19tIg5pQWKsiwaCze4R5aCwd+QQP0mluWeWxqa7W6cSeLockCzuPEJuBlHlalG4eN7J66PjDO1qkC/U3P2/TIp5YH/5zUUhuy4k26InQS6IjR5JJOZ3t355z6ZXOK5aXq1Ot97Rh8X1KSHcPpIYbHWulkxrG+UioD2nshfAVAm5+VoyFewmvOya62cAo+3GG//Zk0ol3bixjt4SEBd5g+V+BJHQQ5TWsYa699sBGMZZl1Oj5R6QG/w2cmG9M7XQ3vwBH+Q0a2qa+bShOTPSn3tuJEo3MdqA645tP0K+QhwZTyu2TJkPXoDmMFybXNM8YDavPX3tRbJvhH9WHOqUhgOa0J9TOISVG64BEcyNtu+1OuOjZ9Lco14QpNptfSQER5Pbhf17Jo36iTXGX+vuJ+9vfutM/t5KdxLjbE7j0P+GtOD/ywzVWE+sbmFqHZI439S83IOXPxngDjQ34zdWZb03cvM3t2HNB80Mam362V4HclZlOPy82chAjqC2V5CwdtKuk/Rw7tZzOQ17r5U5mauL81XtA1y+czDxcKPAZanoi8tz/Y0H6AVzg3zF4EwkGDVJU5SwZxdsBMgUMjF8y8FGLlYeoDnMI2pMy+1ODBfnNraP31HCeidQ6uCkWsvVrYh9rUW3IWBvnckaa/92jyzfydjQnct39J4ZpT5+LiHk1mbjLrZ0ed3y08+iK3LsAkZi52vrGotGvHyw6r/6qZ9pm6WJwiNKe2DnEoCbOnjbLQ0liTzcxepTWZlNiuaYyddMSfufYxDXwLGBj4RTsUJUnDW0qHpRLRdJWodfPQ00p/PWXANRu8V83qjg/bSJq9Vs4O9GQLXDuZ+hruSfsZR4goO/lgbBGlQBvOuOmPAzykD0zzZ8nmwfQUIqM/lcLMn/utEIunBNmUInljAn3nhX69L2xqlZxCG956EtNhkumYGF+5Gh1WvP1dl6ss5tTnd0cF/qfqdr9rY6ndHsAD2LmFGMQMBV516yGxQO/Pe8v0vHu/55HMVL/8rSECg3q/e7Hg31M3KfcOt1TQuxX/dzdna4/xlAO39Zhqy+zVkgJVotMThtwsIe5LGBPgvTa19lfK/QHyRahGCdcNWhqaOkHyVSfwbCqGmjNjamCQVyaE83cr68u76RdVrhzcPkrUmoJPVj/SIe7eARag3E1Fe2+si6WK6ZGaPLvqH8iFSzNAbLJtVzKZml5eclhevnKqOwxjiDmC6g8zj930+gN+OqlMj0iRWpItUbZy9yhMXfrkmHZyrE3fxTG0wBc9TF+H0lIXHIHvDIGPCr0yG1ngR0RV+PSE/upwRsCdM/x/z9TRTAv0BK/3zC3vWJs6Opamtc33GdcrHzKL8iRmrvpmrql1gYoc6YpE7U8a/3ucOkkbW0cQt1nKJ4GBJyWwgemB8mI2vnLwL6bepKpKrm6NmEps6h8gfJCa9DncFbCmU+rUzPul6Rp6potFSk19f9CZcLOCj++zYmeJaIvSqH3kTOdkbGxqQ0y56FXDhDZW0pl11v3Kj2RUI8TXjQD70JVvlG45Hr8s8KEW7/RGmDPMrv4GZvQatnkoG8d5P2PsJKHgvz3UFuCDH4gvYOPM4rwt6//ribw2XbqpIWZOQ2bWOvWp02UdK1ZH9iojjYF/qdD9FXO+VKAnh1VfIG4X0fPrMSK6dvRPDb6wYo87dnSaOsB6QwIM0m6AsWn6f2eKcYP0R1q0MJbArT23I/i09shAt8O2oJ3fm7r7KS1Nf6oBeDGskeHJmdMRwThLBHb9p2IIBoJlzvtdTh/zxaz5iWgBNyHHimUvPczJqjIYPzPksSqjODiBM8QUzcfIriBnuMDBb3mXfDJrs3Cqbpj7H7WrieEOhi7X2swAWe/23tndS/drAR7s0x5PudYs7dBYx/i1NxXnbrOCf8JEfHkqnKSK2hV+d1EidVQBzFD4dh0hyoYkMXO0pzGzU6tfiUM+MeQ4Zidj2U9nKoDq+inEpi5j7MNYta4c8g2229dcykGMJeTI5A1T/lDd1yYX6f0ULkmz/ue/jiKxZL793ltbLkLiyPO8QF6IcI/d0tRTEsyS4fbK1t9+Uw5D/iewydtvLXyXMxEo++WX4f1h4Fhbhmioe29U2t+Dx/pp8i2rQtB+uP6Ggb/5MGcM0dAUxIf7XoFJ5oOtomZV31gkJeTrn9zBFbd9s5epakJN0nDZl9b019uUWtsQx6qtosxVjtQq3LmVQzZHtvW5m1l5DOMboW8RlCsWW2cPGQHGdgwau2/ilmQd78pOYshta+o8ID8A7yFy5yOZsYsocMz+tWdJDlujU9ZrL2kTze4RkdbM+/AY84yqgZre8YOEHIWjms1WLmaJw2So8nkFVvOxK9e9o/KDo44ywotkuBCmhpyDfrj+eq3rPcrxf2zCbm4Tk0cjtpwHChGd3JTb7lJX9mauqtHg6jpQvl5VNNzOtbWYOfUx7Vt2ZJik7OIyS09m7qKmoZ1RH/R5a0s3eeXKUISpJ61EACeXZjanDvAF8meqVtPbwdthG51B6n/XpKg1T5lWsgrtgHOO4Z7CPOJnErYS8sxnafOY99tLHbJrpXnBR+Nn1MtXzmywwXPjpAG2Nj3UhdYBjvF3zvCe2uQKDNYqPQH/YpoGvkf6eWFU/Zj1t6bDn6Qz/Qh295rz2fT5UDp1mdiOpm4lPB371F9eYzk+xrgDLeX44/2KnfLOY/JZa/Ig/fIAvvudt8bhtgdtWiQQMPi9DRdLlofcrI12BPkXyGurAkNeW2wFf2CnrgJtVjEZ0SCt9vUMA9a/L1j04AXwkEc6BocxsMCcF7aekgIBh3wCH4FPIz/gHl77oC0TkWaeaW/6R1I0/Z61pup4zLcjeEX3SHWSWlssdLpKRl4sOkmz5sLZk8bkmDJyBH/pUnsKKnZz6IBuVSFvpZv8pDR5nmCsNy7vWNjOzOZLDaZcDFsOus9rNnmyY3bmgBYI1EGMFJU5Zxq1r/GVNlHpVgER2UqqgwNRN5Chfm5nHG0vlKFjPmwz4mD7RDFoEnMb12c8NnNNyS3tGpeEZo4d0f2q27QoN5LNKf3Y7kFV7jIAsojl+ZVT9vb0Vp+3a2l/3RuNb2D4PVlMGrQIM7GBcTxZZA3vuNA32ZFvuN4N+9immYW9g9tYtQtv2eVPDvxWGg4N9H/X0v17HD+2bxAJr/nDpEbMrTRhZt6scfFAwyQBnwV5SIqTbr9FPH3S0NukthI1QgvkCg4saKlBLqzAHh/aoSrwXH1s2Yly05ssruyWVmuz5C4R+fB3Jusn7TeOLPw78Dnku+QiOI9E6HV1ZG3S2Mx5TUlahEvZmbnXJTh1/VMw9CY7+SkiBCzlTdRGbiWWWX2Yusv2My0w5DC5go//lmL38rAbhrhoIvQA3dO124JmJzZwigT+XFMmN7WTOZK3HyfWenVP9sppNrLPvNwy+/FNzwb72rjJI3c5+I50o3p9AD3+PA1eWMcTjOv5L1caPws5N8vWryUv+A33766iyua9PhL0tRwjeZH2l4s77QieeFnRCtahjybiEYPxA889FkNSVog9GwueG+THSmdmnWhu+vZAIu/xmrdJrewKcfEkg/WozrPpAXQDTegzZmMVLikGL6w0eI7/+i5BDH9ZNTNn0NtZDNazHOwn5P2VwLijmoQCTcdy5F2jv+6VNQ+m7/nL6wFD/zeXKR73g6uPwL4H+vH+KOnXk1vLpur8idJwac5zeKJtexrY75xhVbS5NPsD6T9TO4kBC1jp6kcHB9h+ILka+Bvw1BP4+LXm+wB2xthSOxE3LuR8YC/Iz7apj8XDumB3oU1NKlylWmZslD8l2z3ZOH2Ulqnfla5Ug5cI+HdK+QKeKW5QK80+gJrCSFiNt5qD15ovYfhxYtvW9IgDr/o09QINlx/sBHQ6s/GqplOsgFHIUQ7Jvhp1cSx2Lnit+cimc9q1k6DNIikC3fIsMti31OJVNaijmW+G2HnNb1gwLmXJPE8F+lLnoI2gHcAFbWpj4EK0p5Fn+qoMpt/bwdpmNTWrwP9gtCm7Hku7iSYHs2ViFuhshw94AG85tBGN5BteG5eGm785vSrcDpi9LxAzV8XlW8MIPtg8kytoYYRA03TCBPhayvvcWSi8388T+IbmvD3jgad53Gxo9+9p6u+Z+cYjKl3wTxPtZztjXoI79ueXwXeAFjyuqp8t3Plp5k7sFAIXOOQJ+nIz+5VUD3wW7q6N8wBTrkhegLasEklnnigMhMYidwn6i4NsA/GbpyNCtaM4jVTeDMuLe5/Vqp+gkFbD8YItU5OfuOBZHjxGt7LwPyG3OZj659N5O5GRB82g0yNX6SncWGmnZzmgHQyPg7KWNHNmN+9xUIfpk/V8Vs7FM/Xh/uLQSm4VajMakoMI0FsplNm/Y5VacxJOEQnkB179PANtqt0E0U53pSaHg02+s+e8iuGxkSM6qN56ZNw/s6g95+ftjwznhQ9Yppq/amN6wJg/XOg5d1udrxKeWQv+bXqAblvcxh7+mG+g3dkJ+KiBAK8ETnLdPJoV/JxjU8E4TxF4G40X8HgJRK5Ngh38PwyeWJ3BI7zelwu+AX764p76WYDvMZpxw2O64JW8SdrmDXu31diGwNjActMAOi4zsX0Io07gosXHXJ4QOFNgv9LdbSB3inIknqDEqkHrU+fVy+/2rLQ054cqASk2LYgnkc5MF4IT98NTb9/N3jOItx8Vt2ehzU6KZaxF2+5dvJcucQ+W/UMcveGWnI+Fr5mLEbE4eGx/hmt0zbngl3c4RtlVWQ148QR8SXs/fbx7mWWBH+MZsFpuPFQdQP7lyD248PyBZ6tI5uW4A6eOMjl82XmgSxW9r5BrPyjnOR7sg6AJB96m6YD/6sDsnQSXL+897hagqk1jLR9ZQQSw6cDN++GmhzW+mL7SOSPAM+0RW/yX6ZSrMIn9HfDj0/QqNpTAI1IACzES7zZm3/D/PgtVrh/RYeEVJwhHO7fRWoInFYKrFhe9JTqU5mG24GE50L79Tq3lkUba7I/fyNg/mlxZ5e9mH8s3/u2nvfVODH+y2Oys83dq3L0Y+3qkZu2HjLUlfWD5NYXcV4ftkLo+MGKzOfVyl4/qo7a8j2MMOsbMfhAZlD3EeZEs6fO2KmCY9GnO2z9sGfXPUksHeBHXnMzAwa/zsEz1XxtT0x3i4I2FmWXqeVC7TSsLpyrYudyaRsF0UOmd6RMK+iTTI/J95SweFqQF3/FQ5ox1B+8PdCA3Zx9CAvc+p9hRQc2n1zkOP+2/QHfg/Tp2CcGYnwZ0hhhe6sDMi385eNAzWfHHKfZX07dYhKEnNP85MSVVwc85n3rlXpZmLa+NmKz0aepMJsjkfl5oBzTo48W9oJc3smYP4v577J3SzOaauvET+F6UanImUZKqOLNM3is7dC1hzADvX2kRPlIO3D3Ma236INnyLY1wubf4TvaYHAsVmn3pp5i9cmXVWLgi4Jnpiv1Kt2duzrUgwmt7OkL84krs7KrnO2Ih0M3kwaN0Zf0MGU3/ZDD2+RgCu4ULdybaIHbPnIlkdhKC7z0ABzimB+Xf+jJq0zru78ZXV/blehqTuXSnG7HwKGI9po7twb2+MVcv+TAH1cecgj6DvwAXiiZgMiRyS/5k9GtDHVWVjIAD1WEeEMYRL7D1f70kyn7Bze9e1u391GEOWvQ8RY8H5NBV9vaTR6qrefJWmX6worRl3NvlanpTJXNjaja40xv48Z/Kmd9OtNykYXktzbjQ2XqKymvO5KsOTE8sfTa95VU/udLCb2aPn1o1TUVoKYdkjauFEsRiIfIz8b4AB2vI9Sl44ZEU7a0KeVQOym8Q+BPeQsb0Ice3m3TwvDxEZh/43z6HY3i7n+iXBf4angWqIP86LG6Z7Mlx72zfMCPWKcgWeEe+spJLZfGntCGPcf6Za7VUPa6U6f1uTQSeLbC8SiC2wopqAHt+riL+ypXWMeK7ulB9LpIRc7SBWLpmDkqI2CaYIYv3E3zPrHpERWabOT/IUUH7TcGPMms58t67ijjb4EL+pMyG/Cg/0/P7WjrkoFx0leNf/y8OvuzIhHym/TaG51LswYdUzvZaOkkG5hs8Ej/Uxdfm8JxpzXRZsa2QLHMgT6bKSczeEU+J+Q5e2OPOZiW0ge83T9PX5mBn95I2r5ziQp6Fsa1MDU5Zr6oFZmXAo1Ydpxvw9T9NAN4yljbm0yYbzH6sm5MjWakAL5BPnsrZzjIGxjXzNH12P7EGrpXYVcA/zCoFZctrz1J/GkvL9A6raFIdOXgse4pLiq4VnyrQ9YSEeMK8HQ9rq2nhS2Zh1Nj4nBf+yiO0lr0qIa4IsdH4e+bC2r7VwgZuC62M6fPBnv7q3LLz7DfU3wPXhKa2eh40Fnicq1kHos+ty4cpzmPypOH8rAvsVnYC/wcVpGssyUsPm8qFzCuy3stK2x/rAY35GLqUSVwz8BYavdjmjmN/n3am/xHoJ/hW4NgWrvwqzvNOsrZihY+JbfaBNw/B9YZE5GrqrjQhFsBFoP3+LtO7/0fVuzU3qjPfw1+Jg0mNL4eAwNiIIHQA3QFyhYDAxCY25tO/rTzb8/u/F7tqamcmnFqr15K6V7vFpr18Ar3UH0BXg250uD4HEHf036yWVHD4+rGpJU7e4N09WJRUDe90Osw0DfBX7ZhZ3aZ2n3iAnUeq2RN4u1MHOGWDzXJr33G36xoBfCVAG3wfU38FMc2d2lXm77xqKpw23MeQJ33gk5gy1UE8ZPXm+2Lgx7Scb8Vws5izhmmpRsoIKHfI/5Y+wtrpKfeB95tz4XXXDPLUxhrQIqmlHsy5w1Y/90H1fzPvXKFxcHIh92qeZMyrMiqvtYW+Kgs/BMKyiWYh++RDjIPLBfpRgq186BI6tc98VBI4wbuyMYL3KcXkg8aUN+BCz1bsQU/gKB34a38e9KOi58HasAZMfN5WIVCI++F63Pw1n/ygiJM3eIeeipbuHNo/R0s+T8+9k0JOxVv3QUfuiEBqyPVWZs443MTU6n7Bt30797lVACl+nQXkPH+eARV5+fmo+Jxhe/YMb6ZUf/Dpr216fAALjmeu4iaC94SkFCHypM7N7pFfWfPcsMsDm75J069ddqOcLlei0YP03Z2LLv/HAZ5LKDcfvhWZsMae0tKtbLiWO1cKMYgB+SQovOZj5xHRfbGSGU3VC6qYCOdYbviUbygDZffD7ASeFdaqqf0YktLwznbs/mki5Zi6nf0tDfdbavh2DJgQWY9qhHVmEdb0g5mZ+gNcdjF+odhBWeMgVMcYMBI7mEt6cloPcv8bdT4f3DFed+iUc1PH0v3OhH3twaoN9JNrziGZI79uT8ZANiE/TB3vx3i88t7UFHWAkzcvdWWvyllSEdqylH3LCTv36piVDPDD5sAZgPPgjyxcuBqlrG1yTAP14ja/PLdm8I5hoclYwreVXwp4HbHUDt7vWIy6bkR6PUfSzN+4NE71pBSdsgg4T4+RslHGQutOQg+Z5043PpJS+cD1O4G0XwNf+ddPFJGfgpmzf33iVucV9nw4c7PPyUNq5nwi7qaWKpvy8MjMdxf7rtpwzsM1SGMCAKnyJkaMiNwlWh+Lwfvg1J+r0fR5a2DO6OWlc6uMpxvixoc3LawuyqKbdY5mXWjfwyGsK4qXZiPPekh6uAcfOHlKNv9qzqGJAD7S+x+1m+4E5YfWsuc6ss3+w46MhwcWn9cG/fP7ejB4803UGS9mU/ulmWPtKNOmV4OQEgNfXgYe+zkL2K4xM3URfPdRpvh3jg/+bsr2ydx5lXEHvwunLUM/FJHDuSdfwMdi0Nz/fMzgOhZz/a5ldgT4UFZiiRSrbG7mH0XA5zWDaFzr9GtfGU5/ZntZuOGqtnwnmHdoRu9KBOSY+NOV7gB6a3boljpyBK03IHGm7HUmdWeRCsn7PiwAyWB9USywXTmQpyMkzHxcrpU+wbqoYzIBt+5lD0htQz4Z5il3/Sp/wr8tNRai2yCHrgDmdQOcpR73xm2JpO6/WRIR8EYurT9WuylAgnku4tn4S03SWQ8cEAz460+u5wux1YH3+S61Z+A3KpcIOLeT0Ga4eTlbdkJYd9BrM9/8U1rmHhVJWptzb+e1Z37z2mI5AHaxfHzcuaVPZ+FVgFM4d5UH9+HnA/kgCGWgnZDgZr4nl7Wz1gTuTA3AJx2NapZgGu2P3Eak0JgQQXZmXqGpAWEleq2vrGX8UtvcZxbo+TGxqOkH0LzCFrkUbIl5qI4nJ9FVn8CalquY9I6N61Jr/dZa/IuDfhCDTAGTbtn74knuS/M702FYudV6Mur+zV3ijCfSVgvk7rqxiFMEOAOu/gEcZlP8sGbv+0paoGFL8jhZCa55+1RCRs2w/933KCLjR9Q5uXvwmkF/4xE0CiMzft/buCdOSv/1cbxVPX5PJ/SehX8s0A0D0WSsy/nSsodX0cQSI4mEuOyK7WDn4+1xZjM+ObeVQi6HmE1B8wFuL1XurH4bklNuH64Zyze55Xc17I1Pwsub5VuEpIbvcaqA6Odi3VSIk5PD3+ph+WmHrgd9kKQbHqirgUOhD+Xsdnlv+tfxVIfLqRnJ1sJ9smm4StByUs87zD8fWdQJGpBV0PZVf7ijkfF+ma2Wp15T/l3bYb6ZM9Dc2cN31BkJ0J1aC8qAI1KrWs80sdsePc4Qq+n7ntFh3imNQoaAT1N0h3gdW0cCd+cuCXBhvAFf+70t/2tLiCPgo89q9CwzmxIPpBJm/p2zL2sqP1q3uwP+rpx+ghY0873SnZmbc6bdG7XWuRB6ayH22YQy088uw04A32aFqRcKX31tS0CZ/Y0D+Ka8u1Rl8l67/FnEUgDHPxTlxXDFW91rQezhCjnFglyAalgbwJcY8KQrrJO7inCCrcvjBJpR0uHaxJc7HvdvR0c/gHu89nshN5oeBCC54+VO0fyWbrKEHBTlw2L2pDb8WzOa8DOSN8BMG+LOkhR5oDmOZFhvoLlW6TLgJ8BqYiyK8GaDrrbTMQGMX+qCJ/98YCDPAkZ38O3J9RzzeyZaFzR+KpFe6i280y30TN0PXH3HHa8qXH6BeLXh+qdMKKxi/5uKlRicapxwhffOz6CHuMNLGcilHeX/4zvHjU+Pdy72DvBUnxh/1zA3/VE0dY0Ppjnr8Q446GLIn5ArkcamRrcwZ4XtXYweAd1KqnG/+z3rmf66dXhbzf4XhvwuN16+MEpRNfANckO0Ag8k29nMJqa5ZTy5IHcBDvFMmNo5Lgtc3K5wPTPvyKPO/F38xk1yxQyWmPF3cfbwTvmA4+QH8N9mSG/c/vvPp52I9I6jPw9YQ0s+6b4N9QGwwwOYsTHlFzV0Zi/yyQf7DbQXSrWK2vgCOSfdpVzXLWioWlRWitq7qWNoHV2mdrfLTX+FlbCj9W+PaC1c0IphCrrCfsvgGier+z4HyD5zBNj396GQz0A/fwumfmt/jq6CXMUrxtW75PJh5pMWVrIqsbdM3TDVh11bpo+8nN3quS/JxF97lXcVSshhsH5c36ylFbjmRgaMCXBR46kHvOyA9cGqzGwHlj4aPnPMkw9S6pkCPyfxnLeocpTmHmiOUwE52/S7NbG/YiEfZlb7S8NCruXGo68tk0IF5NbAd4H7ZM0m7VZo25zl0ZHdVS9NT3IN+f/Bw4PVDHbUwjdRUffRWHvUCvuGKeR98cfKHdM/r83+bJHr6oVRE/DQJXeNJ61xf+T0jLQrne5BIw0rk3y31l4z1DmC7b+b4fKU48MtJmWaT+NKXyxBk9Q4TOBNfwB2lmScJ9DD1/MoP6g4AJLif3vmmHbOCTSWiIAPx9WWD3udBt2WsnynSv3LW00f+H97WQne/j7h/h7YRqBXwl1GeVGL2wOe8SNDoExilFNnORGOiQgvdiHIqz5Kg/76Au3mNVsHuO6B7rBLgjQ3e6C5jYw2WdowCQDTr5zhzsy1JlGy1VpRWNecTP4bCe2vSshCxfpLxOhUD3OimGdmKLskJC9Pp0tjfe7S8GADx7vjHgEn84GfDw4GvaZYUtAwyYFXTDioTJ/LjcfAjSLAgCm9glbzK1o9gc+OlZkRzQ5eq+et6rVLNjWKSS2AGi/cqNMRExbwotKqpuP+HZ79yK0/z5bjK90S4Od8h20ZmLMlZsmu5rC6bf2VMxt+zmXG9vi4dVg6M61BrUuQW8qyK3OGyIeDd7Tn157eNeOgD973z1QoBzQO8KnU+OYN7fsy1I6HzIyONlDdOUZ30w+bb3/tk7UvalsVFQW+bM7Op+SLQHzD+vqoTU0Uwh3X5C6nhFfDvxrpqLJTMz9hNp4yxNYQU5wUXKW42GegveC9+pKUUpNYRZWpf43UUgQcYnXFR9dUayUjaFs3HeVR6E/QSATuWw4yUKDOL6CR2te1UtBJCHjDdx0MgFOkqgQ2+wknORivGn1V1Jy8sztohuDoeKDrcFY9l/zMiMSCO789RYC9v/XyAfmpHQz5IYmkrRPQ0BNjn699AFfFJK/6cHfaklJZexcDJwRWvQM9sTS2/iGj5yn+6RxtbAMn2vJeHuuthTzGr8C3mZk/ddbVbw3h+Ws5AMZR5g7ef77UKS3/7R8u3KheJD/k13JhDLSa/eqjeaxZsSzV4P2ce5zCn384V9E54o8U+ILpH8q48Zeeb7+9nlMKOTv/zYfw3KAJyXJmO5vF3YuzaV7OjJX+vQ3kA1sS+O+qWZw70ubrcUu+W4cnavL780TWXHg16PiyKufU9BsQB/hnPH/wsMsb4bH/x/fskQq9NqV/4v/Xexs3mwIMh5zoGs8DkrNonqQ7vylX+Sw2+pjngIm2YhdbDbvtv+dg55GX5zH5aSf51UxdSXXyNN4vwEh8+J23Ijb7CMMd69fsqtsVW8sTOD1EbmuJIfmv/wF/QO6LCtAKoI4qan8CrnnZaRvcZsQPAt/InBnkFlohrh4yhtgp59H0YMI674iLTmY6YeXMBYaYfe0DVJaOQIc/22EtIZ/XqbO7Hh3eY2E8KrBv5uH+4uEvt2mfNAhd2vMbpeqB+/wq4s6C9X4ALvuoQ3hOrW/nCO3oCBwA+G9NXz2PNw/081vtfF5rAf+fSd1oJZTV9YUGvWORio7ydjQ96drsret3GZj9EgX6EBXMeHz16SMTsjsL5pxBgtAAtH3516tLaZ/jWWbiX73oQ5bJRTLQkgiF9Ug0/BbTx/kFsXcj8P/rEmu4tyoduqoJSQC8+CE39FYYrxauajLYC7FB/4i9q9DBLWxFKj2HbZwMLNqtxPFe/SnrWeMviSRoDNW3bF9ATH/VkQ7gz3nh+pBDOQc+zYHb8MoFfh7yC2XseR7XuojID3DL4qzVQJCUcF24Z/+jYLabhohCXg9xif71SmcUFSk7PE2dItWoxyFglVhiUKkfODRn+7NfDR28H91Lphlne5cOnabTYHzzfGwlz7QcXOJ2c9XnVlVWm4hUBRqvqx2UG1+Zl/6qA+bgQUXGowTy6TebTJ3R/oP24db05MpsfyPu570x+3qBrPj7n40GaKhcbAEeyXTwQOv8nr+ZHpi5pn+9fNzfuYs91adbU/6bNwrxqp2z6adxZaJidKi20AXe95NGe58gnyv7sBkvk7b3h1+PfY56Ne7NrMrvwu3CpsRPPPGPXEjccn41fj3ncC7qgCAiTD/1P18s0URq1yLlAv99l67eVE+KOpQSx3qqbHkvNKlqF/cs2m/NNH+1VCJ476CDyMh75VTM7mD9m1gtBfq7S0v0Xo+mep2DlptP+OvPv/oNFZmZ66FDHVOD97kDPgMZr3M46qJqk/lZ2MeqBw7vIJyKbsnN2Zstv9rR9sRodxnFiA52XvTS7OUCB789WMkBu/yEUz/MB7S8NBHk11sxGI8z/lbZBzNDXQL+DqCpNWAwUqN1Bbx5VF8LaYx/CksIYHB5dA/3nJFDFkFOc+VDaSVTZjyGlqlmKD+6Zg/Jehb2/NoXJSKSH4It783m13QDhjeBfo5Dj8eJdy47h8az0ZTuWTx2R5f0tCcpfv7ZCGVXbvrkXf7L6aqSXKWwC7bxsRguD8CPhW9yhRh6XYuedffOnFlIF+tCAw+LJfw7fQKeQOpJd5Vjv1f2bLegAWSAf5qJ16QPQX8tzEzfLti+bgTxsZNv+aSueYkrGq2+EusbYTZg77+adg6KvapteWLu5VqZ/bxA/4AGpaCeHFxAHhoXm5f8WjldZyZkNFMFa63rQYOcGFsyGmLQD3rl1nIBfSLEyBfyBN7pmlkG8lazf3uVjI0KtPAe9GRCzqPtn8skbTfkHR2ZNNFlg2+BfmdcO4Ol2PpGi31Oy3nDznAF7WSzcGf/h/O1KEl5jhTgvDya82I8qS8Jeem/ax3NnDtiG79rXbNw/iEIYWxmEFNtS9AVGYNniP7zG9345TzAz40fzft+V4v2yeF9YJdDDvp7x2wFLbZn5s9ZADp+k4Mow5d2sLnpKyhhLbzvbab/3hsbfdH+4CgH7jXmv3Ohz5Ft8lkvxPx9nuYgZcND6O6n6XkhaHXNEKph7T3OsX9k/HePymBICdrvy/QSvr5Xavt2OyKHON2FIdTn07zwiYDuQhfmdm98Y05ddh1BXVEN+cZs/eCQd86RvMO6s0FDL2JCZq9TAM6ujPtX0HHXXz89sY8aF7+8FgNp/3q5ebBWvwqD/vrvQwxqbizvpErOIO9eQM8RLua+Zt1b4+Ze4XiQrRSqphniCeVkmMuKHxy+JRzWt84Fp7n2IVBwQiz7X19AEdqxEkmRD7pkCAtsTCjDRKc2fOMRnYBHdYUNujhaI+NBVDhryXt0k3Gic0re6s0XjIKutWcPeHVnuBTbgJHExl84AS6EXzEfQQ6xQQMxyHGZtEgGnLAGrroCv+XN4EXc5DfHOxLEy5Slm5l93iIdpmyFnKg24CYJ16iSArAyRHlDkZtFcgdxckt7WeQOennqSm7NM/wu7xxWHrzx+9FZATMUcBx1JfHn2iCVq1E6qZkRU8qxDRVoQmZqt0LDGek2XE3vSva+UFXs34CfYwZcLh1zwFbjG7t/xeE9Q3yWxf4LMHdse9N/qSyKCAJdKKmpKad//+dp1/uVcpa5CPQI/JDIIdE0Dq8yUpSNyGjNOygY3FK8SqEP3NSyAV+mgrx6zT7akbOi9OnRzu2G4ZvxfgStJyAOtwa4h3L1LUMM4kVHhGtzTv3BJlUBVthFoBwzR+ZoA5OyugE4Dj7r2a57AvkBf/G+q0iAX356TzYmKY5NTapyRayuJ5dkNPJ6YjgsJztivJWc5NRa3q/fD7yDzew7ZSWH+JUB8CXjM+0QUHdmdhTowUhobTBx4ePnU7J/PoGPRqzf3Jm7Bl4l2f7uCq0iQv2pEsk133RsvOfyUu4g5iBndbra/JQPfEt7bHy60tRl91ZI3/hZyyB90nh45Jb3XVkEsf+/JqraUmWZ2A8cclTR+zWzK48CmqSGq7gkbsc5A/0l8OiNLe3e0hi9McfUa/xZgWcVuYs+YG08+WDwVl7TgP/g4c9Ojvv46KjvEyDSq45IxAe3juyZcViPA+T+TV0hQ+d8/ONWE0aYyrQtbvdzIDPA/6CGb1iM5Aq8KiXOyolTOSnkanNmBZwwZ+9/dlmg3s6x6a/1zYyb197XTkz+A/SEe3IqG4emv18SwwdNXZGZNyjtLj7HWAqmLm2kR2LBNSjEDVOFcWZoe+ZKaxHE0aAv1tDsddJo7lvur41l35kt05d2OG3yHbiRaFH7BL1/rd3ulMa+FgF8q0BvLZtPUncl3FOvwvWHTKTHzD6RAZDluYDWRymZBo9Zy0OEum4B4zLuE9CNYT0MwGPUq0b6A+7NxmyJi7BbKOqeTeD/ztps3d95NbmIKjcLgEqMKMNRMuBx/mkDHTW2P585MI++u+aWTuR0WIF/vlGKM2yD/qLyxuOOnZ5//s/3wPG+a03633nloEkYxbuWm5lBes6KP1eIj//mlOknsdYLc/bAd/aOiJMIYqJSjEBOUWa2hNWWiWPmpwJOkZbJ2pz9NNGrNvV2B42Zw9d9gh488V6O6biWudMh4uyvolcp4/oEWvNaaeABDCVMq/eUJkFaElz3n8ZvgRl/gN9cPWngQhpDzvqpt8+tttQ7aPRXbU/MxvXy69stlCTssIN4sM+lLHPKuxb5xhNSVhrfW0bGHDK1mWvdOJ0NzwUa1z/S0INY61BqnOwov+L+t2LfUrE+ccY7VspXnYNX9J8PPiobEvfP+X+9tvc6gG8wrqxwkxWwoQTuyIEbQr7EdhPmqxp0UTigvm3EYB0fzV5IO/k35fLozGeb/fZaJ6WCvCSjf9+rooM8CaFMT98MucknHD2pg0ErK18NoVdZ+Kg06MAR05Z+PjBwAL7pd8Nha0flbemb3BLUpg9XD6ZWpsPFHzeNLNMvuzt//XnNorXhZ/05/vROjrLksL9VY/uAvBOCHs3hv/I8MMCE1BXFPlX2vJ5jwD2XdxziFA+7lQ2HK46BcJh9bcsegX85J+vwpFbHQIO7hk+91hdzqjtcewf8d4GYfqYU3VNLimq0U1YSLWL/R26thwN1g/he0+efte35XDneBzM9DcabdOIRi+SxGndbQ/lWOJ9P1fvwpfy43fDr3GHhYeKqca5xgG8QCymEaYdd4PwUe3WIQmwnN7wh0MsHq0ZwxRjzwlrgWxCfDJBrAdsKJk9tiQ9txItC66Hmxv+M7YDvJC1Tr77sy5nJd3gvKWagD0Bzpl/7sqHVCgziDterCYO8E4O+t/YIGwz6Ak49qTduvNh6LM0+WuteQB+uhtM7R8daQRExDJgBa+AbT/KFG9cs/LQw6+6ApYesnEcc+5w6HVfxXzOXm0O+6yFnXptYbZBjpODzMWe3R2rOGAP93Wx/78ThB9ApMxmYR0CXqkhhwjzIuV2IR/ni2DHEd09j9azNWawIrZR5Vj6QxxnhDpZuRwLiixJtLT1ALHcb+VoCwM8PeB9mH26qrblLw8uT9/pdDLbfFvtjFpOEuZDZos6RQfL/9C4tJZm6//nfhfaxtrxRAIf+9dVnBrP8HbVIQdneyhggL1OTmfUO1O5gvLdV2b3JkcT1+/KN2XCVQWeDfvxpXM1BY3/X0fzKlUUhPFNLscOOzKkD2tgG/BsT+LTLhVvAJR39OI+/+0/AfaprHamhQKoqovmSumb+677KUPrkgfaz0AY9s4jc+DvHcuWRqb/Ur/2NkdhzmVqdgMzfcR6avOLDfdF0QGPD+b2ecKq0/GmslZu+C2DVxs/iO6dmdlv3IYIWntvTincdNV7DLHchlmqFuKfs9ln17FUf9aGAw2QsCYqQ7DJhOZlAVht6eRv9Mb7NFK7nNUJe4LkRZwPkdlMTl/wwB4WgC0PR+z7w8UNlQU5xDys3Hn7w+0+bzkA/dMAmX9rhp+7Rl+R/t5SGm5kTKSJyp5NvUzHLtPyEe07eWSx/Cm3maeeesrwedIF5R1dS8mNlemdN7Ay2B2zvjQzKabXxfDe+pgx4d/c6d2BNtNv44FVNyR6caa+wNS5gTbR28mxt7rZUM6NvWiSFmTGd23NwtPmUOzKVYXIHPf7DJ+RALjW15lkLMWi8GJsydUiPCOm7f37Lsk89wAucsX3QhvI3h4jIE2JKHFg7GwlxgoX3zQRORQTvwUHf3NZWE2LL7HOBRrqdBZmZSwLudoyHOAIuGheIB3gjDHTu67lmST9tyW4OCVq3dslJRmb2KrrX0RoUTCctXJdE+x9O+ZG5+KdgjyePyHdtkwFyNbzP1AOcAS6VUMq8ALR0BrFF2giPBScfpP93nvIugU9DfPWN6wfife8BDhv/xwMJP7ezkF7lrEfgwl/ya7m1jvE2U6SwjUtF9ywgH8B1eapDmw9Yw3uE2+sK4NwZD/mppuSjQf9mWJ9Au96JtcdFhMlvbwHwYuygtO3T9Rx5R8GIlrBm1NTZwFtGxaztCH//9NwvdLRr40GCx1WfXH2R77dd6xKseJKZHqUz6JnquX/tb2zquf8pgF8a/2uIU6fq9aHZ9EHa6Qp8DjXwnNXX3k3tLqqHpaeu3zURktXXMuSmHiJaCHF+/QC8wnhqoETIXiUQ+zG2Hk8cvfjhsiozK4opJwsqhwu4L8AwtmmLhghi+O+zRQpRoTwctlY1IES3ZAcxulNMnXLePWFdeYr7Wy5WdALuDpzOh/vvM4bNfFpCA/zanwcu/zCnzj3ce4l7MyE7ybPg4LSUR7BGNpNDCORS0I0HwK8drI+e2p87vFWPJmB3aiOef+3f6TRYWCy3iuKShbOZjWtVLLnRgfPXGQf82yQv9Ydk7ZNs8AxD903sw1qPHWk0JrlYwtrCfu3KqR29oHGWqg45XBdeFvq00kH6LOjClMuo5tLUcVnngPxgu5uZMz/T7dV7u3Qcoe485qAql5hM7bMeVp+OnZAh6GXTB8b0j+j5Ow0XMxPzUel0d2Z2mlvoDvx9xpykQidvhZnNGc4fbYBMLcAMmv1ifCEls189+z5oAAlrOBETfpozHu6qD9Durgj4VEw8JWiGvGjz2jF+jfwr7/WphZiXPdGmHxJ4861BsocYcNQG8c88xix8Bc5ptMavH/0Lo0jZmdpDkiJyIm4SZ/HvHp8GLZrTkdQstLyjBbzJsRdZQr7WsgYufeHCuuO+2n61Zfi4EsQfwP1+zqHGMuqulMmZU/bAg3rhfE6LJcpBlYLmy3ngZ7mLn4U7PDDgIuDf74w70BtXc7YCOSSs7fnAphlRmu/SLzMHT8Xp4E2C5lcWzb8+CYKiH+7cHoU1XPFEXrVzvLD9IrWSowoR8NoDxK4EvWB6l/EuZ9x4oEpl1vAEPNBBVlWafUvQWn2HBTCkk0U+KOg8ZebSIpk2QQXfU30wBHp3BA3OvP/4/G3jkzkDUvMZSVQ7nzazDx6OZ6cN7YsIPVKE8qZsgGYGMRcuBGs1pRPkFCGH1Nl5gLFm3+ADMJSn1s2puWJ04t+FpRbgl4ejs744mzmbSOH/f7BRxZDzSWHOUq29wR0EOqlrNWgI05vZJ6mZKyWddW6E/qrG4SEg9zMLrmPjhxT62ZT6rqhEuUhSHHV36sonBMoLD5dm+1zbCQ3K9mVm+meZXZASWJ091xX1j5Uzy3ziSxrOR+AOHvCZWEXDWoyWQ5xlPVn6S8IvlPFfwKndsxJzUQ2mdt+D96Vrafuv53pS22c523PpdMnRBi7gqpRw2TUT7/DwcE9u+gCse6Rst7XjfCxY9wHEx2UBOkjAVf47Z2jJYQ3mZ+DX51I51Pi19agX8fx2/tq/OMDGbf8AOgAwSb6lltJNIDcCGJ5GyTcPDhusN8bjGdNomRvtQx4Gvg98hMetbXzdT878BtrfOw/zU0659VtvrpU+Bwq0rFzgW7/wsK6c3bUAFQkE8E4H22jEN8DBoo2RqTX4TqfZOSMi+WDtVLinGcU+8B+choAYmv/kzhzAmnqHmLyT7eBytqeM8agZyZVRdefWP4/WS8oWcxYzY2c2szeL2lmOjW32FZTMSvmFHXY1iIEdb6diyDRimXFgaubwmxq6B+g3uMeDZ/YU2dYFmekHDtt7umF6jsghC/hrn+3ZMljPLgGOPHikl6fUGcxs06SwQ6sQkCfDtRPjOlEzL8hayFl0mDjpjoSAM6Uq4LmqYkOEiz0ydWVC+14W7ePUlnY1cicLX32+i8NY6uHn3mm/Fkv0OK0FDjPEV+CIvZqSJ3/ueTNJ2orLFXBkIoEceKQht3cZSOo0iyQ9gjrOXX9HWOvk1NTnKFaVagSO+eTT50sv24BLOXzHETRX2UQ6zsckaK0kZHaCJPB4EqmocJY30K0J1agGTHlyq+sypv12RKczqDljlJSPABCou4Io9nDZ6XOInDNo5Ua0/7wI2i0FYJ53nF/s2sbeOUykGEHrRDuXO90Cee9Yc1RzFyctImnK9l8tB91fLD/Y9JO7XcGcfVWM6FCxhdGAJ42DTG3UT+UAp5/UvxqY1ung/WiLu+iCB09DXnwDXHpPLeObribQZkaH5eZsQyC/JpPR6eZst3Lr99udx0kmJj8zulhMnw4d0EWViYU3+Q68q26G5KX1bpR1l8pJHhgwm5i+Ui5XZfFU9IYmzqA116lxSFGx/ZhFy0W63ZgGnDSx7ozXAh+9e+v6dkH5TMO1P5v9PN2dZPHrzf2l4uEV88arH7CZL1J4q/jdB9R3MiRTZXUxN/1P/f/2p5RlsyIEPRX8ddNhBU51gHgnEJf6JqckbqfwqvrPTQQk+z2vH0yfgPLpv+e6ufWwB53of59cwKReGZ8gi0Xe4Wx6+0b8c9rUo/ky+Hxzshg4JlK/86SMzoD18pZu7bN9Lm5WLO+5e1k5Im8tJSf4dl6jOzML6fVcwF39Sz7mDyxaC3THjEM1M7sbufHl4vyrHbxTGyWQv5UDz7Zl3K9Aax3qITFzs2A9as3MmdS4fx6Ba8K/f5cOaLlyvgitn9Kx/3ktwjvqaDQXmdAdaNiLKUkC7bgQsXZHt0tpZEan4MH0PMJ1f9iQjDhczD730HL8MOu55cgmpVxA15/Sadh4mER8Srwm6N6y8J8fbNYMuM/Hm3Me1UBdXJwsOzae/VnpV9g2e1BJd6b+wlDlyQCVoGUvkOPfBJqr37OOEHRFoD6Ui33gVsa3wuIO+Yb8BVrOG2Ctvvx7TU/fs9A4rRx0a+PqThx0zHu2tZDBsvJyVTp5/FcHAWvJj4jxPx/XEQNonJ6LMLqLcFMZH5r+QtYabzM92xK4LbP2zsmeX3vm8L39lAbtRoolh2xi5hE6py19Asez0r7awRq+FJo/zfxWSf1n3hNkelikuNgFI0Wu8XtmZiv0coY89gZr9a5GVGaM+7xvrXZ4+S0D14kQMh4LNTDsJtBTPuJryhO7pslWW2gsbE6PmxRpmRwwQl/M0fQMf+/ozlfgrRJw51qHwDMDQtSU3yvbxA369XwBDUJAz772o2Y+JDdQuHfImSvwS4sPas1i+D3OMisLiSKa+0J0B8hZS9q3NvDa/rghlzBMFPOGikqXjjf4vUlW69RqoqQkroyO1u6Bx0XTiLzmBkaqRPbJHtZmU9PRxhzwxSl6lErBdvANBQZtzSJdmxqrepoljtQNW0RjGwH3ONhmfhWzuqKw1kAxCTomXFvET9W4B8wHfsPW116KqTHW58mndQnZ0SYjY9plw7yrLOnwobriyL5hl4Oe+bwe7a6DNSxBYySgUyFmH88sIhaskYmVepPTZZVOUhqvIrO/mIk/d4F08DoLaEdp+qPf5DZs6TtgGShgFu1LqXMPdPhBOfJWu111nvDQIvimowW/I3VS4LOQ4+4iyj1ufa7K1Ina6tbqrmy3EPSQnPPxYDTov7yMB71KQUpgRvfKwj0LMKExXun78jwPA8QI15nxt48rl7vprgj+XonYr2a+kDn/h/XgMAvWruPVKlQ6L/YBYD1lFkrI0FHpoNc7fBMMY6Lnd4YQ4FByFUyGLZdFLchPxdXvHG9cmrmuxi9lduVYeWkJ/GrzB9AdF+D3MdbJJth8k+Me+Ir+Mg7PLWiM02bmoZP+tY9dcUmz4nZvI+a0DHA1Hq5p0EGsfj7p1PWs54/G+DSzHPRw/oCfrfUmxzrEwvijtq4U5jyFjxfjXjZg6iPFZid1bIm1PDKavPTXkfeJ10ZLXwfc1DnkxTR3udP1Snc2D/nMhv3/vHM2wKiyeqRj+/j1RkckEAMxnhgOfl9yM9ugDfw5F3AFZjzs4F/owyaDF0YtnZiQ0wjUQf7NTraPOHvsAGsPRMxfkI/jRvxyBtDLHsmd1tTM/Eh2cVM32QlueoIAc4ulPznVVYTLTWpicOhOxWXDm58c3cOrLkXDO0gxxaZOb3cek+G4qXdzXg/faK25Tptx5cT9vNJeAnbhqQaeaeq6cp3vYK39AL+8tqEGTSldNkJ2s3QF8T8Dl4hrzdeM49e1Iq6B2z7h+09SAt/UbNQxE0kkSv8Ez3LJaHWVo4LnkR1zdSE4LszMOODkVwy4XlteUWn8BK25kticC/A6DTumelwcXR43G15ee1/Gy6O1rA1455bThBrfCz7Igup5p6JPT0zGx1+5xg+z0KblF51y0FE5PzhNrL6lmwjOZlI4Zh0kibTQO7xjm8a+OI8W5InuhfM3WCu3XFw80cuhKrnOy3ynemA4dHBqpwVtggOiE7+xZIEHWL+jHEEdVsATB7jnuAntFbT5PbW6QzWlT8oUaJM/FuefZk4I8N5/cysiZa3LubjZMmJXiP0dsFoN3MN4Ux1Ojral4LoBrFXCzF1UkpUoUq5/l277rKb5W2hU0hE+S8wzDroWdGfEn7cNNIqlRk7b0XvVzol20z9qlD8qUDbokKqOCMIWvrYWR6A3o6o0HlvLADpwPgMHk7pdgS9YhN1cMqAdaFYnt4HrWPxZ2DIohu7OqfJTjUfq2F+Vtf83D7Ee9AP4X9kMEhWAHcAOkjbkSV6ijdpYpj3gfvy58hg/GnO3DCJfeHkRdiPc48P0oNBAfbehqeGYo2ICZH7/4xydbqgp+QIu9MpfjgrtHQV+DzqB0jBZTG+5CvINcm9u5gjlYgG1QSYhvL4IjDf9XNAJ6UysJXf5VVnKrUE4F4CI//MOxo984DVwyfRoy7hl9msmVwrceiBmnjrnx5qZWd+m34Tn9bg/yDiBXKVyOayksqtdU+Yu135RlZ1sOH+vXR1XDOcE1q5CBy8L5KVmxCexOmbxZUdBH1H+97Uf9dM4eAIu+g7Pmp2s3EvdjqTOzThwbsCHN2k9rnxcq7OwAOeJlZk5s1p9yV71uWNtJ0vuxPv+lIUd8A2+a1HnwrfPISsUpq8odeTpVS+aO7KCaPgwc0JZyDHwjGvFdXGe2kfOlvtpQ0PBeA44BHlWkdxaIuD4ZdHLgwpBy4sFnlk6lbWutNcX0I0nZtlhzqWZLTQ1w7/5ejeIt0PxtT+do+RNGt3l8AlrBBitzRwMc0bZZWW7khDfG3umMkZBEy5X+LPP9EwxSzLgycc2UmMu8q2IUW1mTLCy+wGOafaxXvxwS7e/z4YCu2BLBHgQUeEtoBEv6aiv+TD70lUuNWfbxpcF5WsRJMzUL9Bin53cxJe9/jDehTIcnqBxLbPPqCj+Llz46maOZUReMa8lUt+gqwbF060J94Hp5QUOZeY/LmJAwzkKHSrUSsP9VZUzT8vht06XRquH4y7nAcoAZXbAayrp7B9SzKDj7fos8KNwyEfq/PMlBk1q5kPaFp4GtwIOkYZeyAD/QO8MBapWzvlSbz4qaFdlSJE2HnbAUa9CJ6vp76QDL3MGGmiUso39RfWdJS2ZtjS1zsz7Bi322mczE7FNXZgZ1WSngayr6QL5xLeyYHBhrYJ29de6NDXd+d34R6jnHrQY/5CTD99T74TmUfP1m5evYiQ38n67pl/7Odf6p9FSpo71yilffENmNshSOLbZ93oSsewqPQfnWH3lusOiVDQftS3EmuYuiYFrTrXNN4MRlOFdarWW2YsvNpK1SI4Qi47k5L1h9qPRqMKj9Vpfl9ROctLnLhAfNysRhnX/UcMKyWKdtZD3QS+VwLl5JWZdDXtuammr0fsm0ePaDiprKKK5s+zamDhpqRIc6B5i/YiZwjk8A+HDv1nPbTgXOZNrXhIfrvdMBxuuxLGk4cP0dhZi9VsOWtiuHiJMgHcnnG7qwqIV2JC6t+xwp6G3VVPiKKBpEIvX37n0wvifEbt1llcfh8Vinzdu+EiZd8stXrU9tky/tDBeqLZeCwFaNVoZL9FFQBanlp39LwZVrEpYw86+khN3mz4Js/dlV7vkR+rkTU3tPYu5AAx/cdEUuKSpz7BFyD3QbRtFqakXD2ougRN2J+aAFpwubs2W4Tx0hULdJAPdHW0+Gu928b781BHwAnp4noMEeBipWSDd1Jq71u2uxuvxtad33EIH+MyDm3miYbsClg6gkSLQV1fgc98mj562/Elt4E5m7VB0Sot9fxZkZTH5yEriiF7v4FrOmaYbcf2wGjwvhXxUDN5Wu696gGWAnP4AruapMt9SsXum0cEjT/iOk9RpabgrDjGTX824OJylz6OLrbZXg9HW+XOpmpjtivCyg/u5V8ybWvcv5JT5S0S3jWj/rZ7++R9akNeujb64rQPa1llqWcrvrEzXLMCDnBL7HHrjEVanilMPBx18TyUwPVzP0+VOB/UD2uWquFqyUh2U8KwiQD+cGa+hz7vZQziH6/tLp2BxMJ0zb8CNE/g3TuoC2xqGK3fnqhLGoyGxMNekGeWX8dWCdz2rwZxtc78StqzYjI5WNxdbl9bO/ghYSjH3EXBn0g7Yrmj3qqs0/vUl5ggYiYbcvrch3p2s2NvFgOH9k1Q5ek430wOcrnjwipb7hfEwL5iuAWnWtvfflduFZt8o7Q8eZ/uycP5s8N2vKjR+bur/4pDtzRpccmd/4JZnHAnKXy+GaT6A1inrwfMbMdcN20PuvbiEa0ASYB9s/VHOzKoNFXzY348bF9z+a7wnctwPm+zRDHzIFePyquH8lmMnioG/YYec6ORL0JYXpZMfHuIPEej5HNmhNH2FYr4U5WGXGg/dsgItZ+atzr9zz6iYN+yaGfQ4NTNKcwdj4NwfsE5riP0XzgMXVwXcK2HlX+CP6HGCtZY62D46wKy13oBXpCqCXG8n33is7vDzQY7WIw2VmcU4pQHx4c/fwB8txtEI2K5l1HnwfW0zs1pyP39xbMhJuQT+gSlzzVw7Hs4/5978WWbEudwZaJ+8lBvoorgYD94ZeHeqUQr6vqa2XOvnYipmjDfZoXnuex5g0AJYNDEeKHxD45v30npHVy2w7vKiT6aK8lthp2adBNWIgIvsUxqGD2ZmVQXaT4VdN1zfG8TvEBu/Mw2Bn0TS+mPmyvzOcc0i7wvuwSVM0pOFxBn4wgvneTnXxFISg+5moBXPw8PMrAbGuY+wRUIeVE8VtY9fnO+NZ6Di59FzqLP/lmJweO/PpkcftPad8MRiJb4Uwv6pmR3lo/JIiF4cO5FaDyRGW83Ylg6gN5hnekWHxpyXsE5WLuLw/zvgBWER6lhu4RNb3lvRt/fUZYB7j9/5HdSt7mlkf5+nrhRsD6pBVZTirn7fv3jUAnpySk1dH0JuFugdDeX3OVAXwAha2H4O2GPVpoMk2j8lxUNG0QScpWf8Yur9eDpyUgn0kXNenOnnE9bHZs6cjK98Yf/1Kvufp65lPHvOUxL9ziZ1LldJE6wEyTFPftI+dZr+856XlQPfdMot9Is98A4PoG+/65hb0tSua3ZNJzmYqWDphOcz4h2LOOSVfCfZ7oXz34r6PaHVvUDDlQXou3KQ8ce911tCQY/aKYOffd28FFRq7pBjLjqLDLYHHLU6lxfbeI2JQaWcJ5vxpVCwFquvZay24Yn7g5vG6lV7QIuePOmknIamD4gPlzjJT8OGJ+cqFFMImNJ95FN+5cAl4FqRHPQX6OAb3/z4ZPMI1ivlG5fyfbGoSO6gEXeA2pYaYO0Zj2iev3Ql6N0lVo7scxZa3EqeONaoDT+foIvf08gTsCY/GqTX1p5PNJIEvieW4+ILQZLsfX9rAzISxqmI2yuxdcdi1QFvf6sm5hC3MjW3/8+5w8GrQRzWI3uQMbmoSGLI/fCO1FvTk0pCfFQ6OeKQbDSeN1LOd8CfE3yTWAZSg1a6md253zkyWpd8tM1sxms9rqfC8R444q+YvzPr08knZeauF1m03iTVP/B7rmcN38nZm+3NtZ7Sa2GxKwmNZ9YK8YRHbM1fdZk80823geO907D14M1RErc7eFbQtwgVgM31/3ncndjW2VnEOzLgHfDMsY2VqWu1lO2/HW3gu2zuabToM1Ix++0RXy3je3bu4TsOSVgHf53fWYXWHKUCwj+A7/S1/zIeyPh9n+MAvfwc+vRr+TYeMbAO7xlCj0bsrlkpQ+XiXJgZG+9LWlBf0+f+o42SL7zhqDI9DmVnG7/pk2N/s/f9vR6lUw/kAGvbykKFjtvnlencg9j/VytS6CSrNpnVLn6yXmp4N6gwPVd2fiW9vLNpFoC772Y/Ph9lBrhj9kxQ1auFBeku79tnYYWARUkmHRtRwDPcS4uXejGzv3ioXz5LpgdvAu73I629jxmiZ+NpM+xWqnO3YiaPq9Sc7eXl38d5Qt8tWy/Ax+90Q+/Aw0eDfSRUd2r6FIqbqRsRxi8AVjYpzKzocf/aZ/sCvMJnzh4FUx+QXz4qTRzGDzbc27vB9XTMbVhDP82gCuAbUkXseg74RZp60ZiMLNLHyiI5DddHRiXEOzb1DB8qxGaezSbCz38+FZAXPREkK3E/HzjGZr/wxHrSnyn6SLfEyznodX3YyVjez2Vog2bOsf33IdlhR0W7awb+cYa7rxkuU3RxWh46MrI148Zr8OCkQv28avVVDLo3hlTE+HcW7d9zN7HbMH2KOBEtpKyUchu0ZN86nZk93NUQ99KMfqQJP4c6IUOyy0L2TMUaiFEbL7IotQ7A3f4+C8BXHCThS1cCJxa5CHci6CKl/a+G3byTS2wZkI8KngM4/NvJ7p7A5MpqPGxE7Fw2cYynT+DL6R1kxXc1dZXa8Ai8swStG6eOfVXP2xOX+TUduu11/pVu/FuNhl+TGFNsqcD4T+Ye7dOt7fVPZXVeJviODHtLieUGGu0qB1sLUwcGmI4n+VO7bD2j9go4Am88vAqEI7i3iA3JDwb+868XBhmfUgm5+3MVASoahN5pkJyw4JO0vEBw5APiLWIiGdbAn01Pa5TUNDI9kJ+bGFYC+qZMg+Rm9h7TqJMtTwLqgGabBq+Bu39hVD7uIG8gWIk8M3Nqc2pqZ5mVRkQUm//LPSGGC8hfuOKtTYd90ISGYwBX5rMHGuJpPGJB6wbAebyWSU2RzCrAyKr0Y+kcrH/cxuaemtjurPWuHm870LeOApxrtvaaiZ2dBXIQQ3ckI/AolHu5PlwL7sdEY0nC+dqUePd73uDKJw+kb7p2043dRemvcN9HwNiXNj8Az/xq0fzObWU8xtYsJn0zJT9EdGaWrV2E5AJ6TTBHczPPrZoOTxomHQ1UVpfAH+jBlTHk9Z494Gvvskgef2f9RTIDTJQcQOG/a4WnLfWAZ1KKko7Z/CuD+MBUfrMRfWCqh5wtPvAqzDS6tj3PFCgJXibHqgRKVc4LL7v11+u+hAzdf16LUGr59WdNy/mhNg784F892y115h/Qj6a+KZeuCs/BYDch0hCrHyTofiiToOtQVUfycDaeW5Qg4AohLZOferCfjY1EG/CFw5LDmtzFED7h7/MmXCgFfpgP+1ePz5oiDRxR5xLJkoWoSwd0AuzFrTD8YvcEbUSrgXRYyLx29TfnGu4HHyD/sJzpm5mViIf9r6fd0ZXfaQnfPUA0HQ6rHG2ID/Tygz1RXe0IxENOidc4OM3CfDU4y8U+A9zM8olPfEguLayzGvKY5CQhIjRzkvtiAs6w4Ri0EGDJ8IT1dgLGEuej992O2EkZsYBbvjiALa1OAncQxHDQaNUiWurz1x63MS/NvEh4nwflwNoYlh64BFXi4hYhv58ZvhAXJedofqaDojRCqZmz1zj20trdIS2TXTMRDRr4FfM7BtwAU45YDBjKdFjZXHKhQ277PQYNJbduwBt6Ypd3NbD2gqMA1mqRWws/85nmY5cUAzkRoUkL3/NkraSOdEI3fhUB8BDLfu2lPGTAD0W4dHhMEjYersZ0Dp4zghyKiOYfTGircVav2HhaTYDnBqO0fi9sYEHUP5wnguuJAMbsERZ7IUNT66psFu4rzKpnM6yvWS09DxfQjztb8vSq3Jm11pwUo901ts5TsVzpqF0WQQ4DPl+HiuCpy8ig4XrcBd6rFU0QcD1HOvMOOOyTi9w5PvcLY/usAl2SBsOrpqKDNX6F3/MFHMGDHM4a8WnhaH9tvvb3FnKoMjVMZeKevxZN+gTV8VwCztittbeFVjIT8imCygOOMqYO79TUQazoXVvshzTkbzL4V7f8VTtsFWz9OG4HF/ihTXr/Vgf5E3hZafokgbeUHDhkVibm3PyZQ448OrM5Vyp46b+JUuO8BMx3uh/4plPFbmsKyo1vyUcmSEEd/vL7Gpq+e0Jk2rXDIzzsDJZeAXMnxed30DUhdngF67w2Pu7U8NbQO8GaHBTiW8vVW+oaTqcx8KW7tPJ7Ya035oS7ouy81j5cW5e/cmWSA+Y0rtbMTdws0rOcCHDXw7NwE8ALbc4UkjQyM6A8o5WJ8eACRjHV/NPLaA7rhA+vmluyddU56qhg81LHEDfDYvYmXzFP+Aac0rE7Eu3TIoSYELbxCLiSKXnw4bZSV14yYfam7ZVpfAJO9YC8cgM+aRUo4czWP0WPIuBTT+BhC+haTDdiC9M76Kx9g5KXhjX1NzkplqkdSX2ypW2+Hwbc5SJ1jeau+ySsOJrObAEJgncNw/Ce9ss5RjfG1TO1VvtoJYvi3ZfpfaEucH5nKYmen3SYx3T7fMVhie15EwJrCvhxZvZ3YeaZTwjw42HqIjSLpJ064TMdSQic4Gr6fk/Pmw088O1oeUXz2xuc4Jx5R8irCWHwXbg/q3EVhb5sJ+efb+qv5+PJ8kqFzERs7UrXzMzdd8Bj7hSp0sQvdsg9hdwnhaclWxlzO4bdbgMub3zmEsBspwn8xPToK2vti2gfMVu+t78eoskrf6V080elZQKxd4O8XdHY92nUWaaOlJfze2MrfA5BdzkS3gk352uJgjsyXsssnn/PBY0fWGXmvIfWA+tEtz36UEiaPoPbWah/PcXGI1py0AxMPeVk1odNihjRGvRMUeKUxDwD7d2fEXkHHkXZgH3ck/Es1icZ+AMQLzoXe+C8yPQPHc5jDvwPR2082wIlcG/5yyvYo4M0nuJfLfAdUztDLALxhMmvp9b21/huL6AtOEOfnujxE/j8HTvs2cQH52j/daRYH8xFnE/djzDeZcPtcbJ0mLEF1iaspfgVh6YHQZHaQVHOVHy0CWnLrmBMfvPw4snQGxkjAXD2awr658wRroGLp8MeFPaM0j6JKrYMWbgeVCm/Fds/BfIl8DvIs3ZSgSKkvf6P29zsLCShAMzEbO+fx4vdWNhOI4My6B0wbneybCGttUpZeq1c+ZbxLi/GZGBIvRWD/Q2aa8II5TKSN9Wje0v/XgnvbBx93hWbr2n474zjZDDnjLqqQHqkIX5j7NPhoGtqQ9lDrWtnyUCXJ8Y3iWu9VBxijwF34WYDrL2TcbaAt9LjllwgN3Q4IFYr+JMNysoCDtz8Hz/sQL9uafHHhbxtahzvoFkh9pMt/zI9qojwEss2TADH/t55sRyNXqhD/S3F5U7i+Ugm9AAtGCnHEyDxHR7adWMdHsB1XB6tJQPu+Y9Hsc7lrg7qAR1aV9/zjUBe391r4Q3NuO4gh/hqVAP++uMVvRzPw2pT169a49vD9r10Vl4g/0KtJCvY5Yl5csoHD/FIVWLc04zr1/5GJGiXAUYDL5TYzNHJIhKfaeiyAnCIovVom3M0+11GgK3AdYoJck+sf3JXpRh0EPDRkI0e6PSFFNHDSl2SsRD0T6/eqgF1Z/bPp/0b22Z2H/bPUWsR4DYtkma+sNcgvpIRp024t/j4/1F1bsut6soafiUOJjV8OQgIjI0chA6gO0CuYBCY2MTGPP1uZUxn7121UmutzEwfRKv7+6U+eJEMpVc5y4Uz8KFmZqBo76AdHFngIS/8UulwqQPe1ivsUg0YMSRlU6TmHvB1J3XYW8zjMWiy8M9ddMw7FajIHeMDSAiv4adx6eytxvR/f3LQI3WAIj7A/xLLRQls80BF4Hezut/u6lHv89B7K93JzPZ5K0ViajdfZ1+46vkGfGIITPPffIBlUMNmbSBOS/7XzDvMzYyn0lIUnh/47d1q6qDMzMg6+rMBu2DEJXlt+7MQ2wcrgEGL8iHHqcPWtgcCevWP8squd37ylFH73Yz+nlNp8vVKtsLzRtMZfLUHrHI+RZofg9Yzc1D3q/zGSHXAkBfFVVtbMj2sbcztJNu76EpDfj2h3stsgvZ28uoPENRx5hDLhu/OZ3i+F776wHsZ2Fq6aWK0LzUiuTUJk1dQ21LUESmPiLjApW9gH2fwEfD7xK9ZsmGW6aMwRcAh12PUPuoe53vr8WKboFnbnQj8a2ZNA7ETDTEfqbUNT2FS8VXKRpvektONDhPoxGktrfCR9YuVh0vW9DIC9rmkzz8bvjIzS7uCNdBqkG/M/rzjODnSFb1mmnyB7WxKYJLK0pk6zymP7LVBYIFx0h9WmZYUnm736ajztm/MHCyuBtOvC/y1aMQDNN6UnbrUYuyy0sLfEapzGaukFJPTaBSx4rd2aZbPmR35lIBWnsBfgX5UTu6gnYyNj52CfP17LRm+NW6LGdsBbfV2XoCO19Pj4GoffHmgRn/l5xtw5jKDd/wg7qRP77OEGNRmQr70sntkzQqfP2kKfhCBvHFnG6UO6UsTV9xwcwqQxTs1qwHxxgK9r4HrzY+pd33OYW4jgpl3YI6MmkjPyvWZ6Qeb915cDaDnbfQ6+7pLG/umLgBb3ocCe81deQMNcUgDlOZCRrB3CY9RDzYymP6ENTXnlI3bOORdiIXRUfsmhVP24eOIpg943u/MeTyUu7PAs4HfRi+/8W7uRphILe7YmIagrihaMZr8kwAdGXk3YLQJNHgHfPjBEH6IQuJTb3spmoD3J12Pf52aTZPg+uPgmO6bLeYh8XG4jaRLQAvuXhxlNyN81n8zSYCrlX0SM88cNVbhcqlYsynP2w7YFxjiZ83iWiiIq/1as96CuAWs+9iwCAkuNqZv3Gp6N2YuxspO7jjCH7L/nW1amloyiUobNHsJvgd8xnLj8d/NHtgZDyZ3wBuVrQch2D3jyUaNJFZiB9rBjtSoLYJaf7/6EMdJVQX4p880RuFauSRIrelR/+99ylmwP49c8++y56tCCFGbbCAy25VdWqCHrMoqr7WlUc7bKOfK5A6/5y4KTe9XajSuY+rSCP7p12FyEkNg/AGz1JGSmVmrw2uu9G2jCrUQU99ogcYE5lM2B0bOrpXJ2Q+9CbiQpagNSUD2NE4O5dj6GLVPWM+RWNsHaFXB7GShOvmm+R/r4NiHplCrLBoPOPhK2e+5qAORBBQtdmud2diZIX4QEB0JaJ7t12mYhrJDXV2Ey8FFGHRkkaPeToF58miZUpF85GE7QWz8Vw/r6oxyX8NaO3m480p4ljmbX+fYtkI/87Efath+AB8vYB+REC3n1u0nrzAd02vlyq+mTyJMkduwKa5XHf3kZ7ONXXcqoAPwcS9pbW3jsp8t6mjYf/ycFYSRIXzFFGbmHOcDBrbTD9b5nHSkP3Xym43JHnwoxF5SgcbjtfPYKM2c1C436er3OWyRhoMPQP6+suxbZf/Mrv2pJxPMAz/nB9z1P2Bvv3IPKCgxWrO2Ja7/SEU7sWIKTGSEFe0o81oaqfcjV7IGrXuk5KvpyqcAvuIM9la/jYFtv0mUPE4s+QIdnp+GWdRGR/fWKqLFb6Lf+UQlB+0nYT/yYcl5Pz9Yr0HnaRt877VZkznV4G9Nn2OIo2XR9rIgRQbeOAedn0d6w95vm3Iw9dXENn2a5XCxqMn7LWTFgSHUkL7qAlZJ8XfDPNPjwmqi7Ttj+IiFfczBvspOPaiT2U3HXTOzuORtma5mFkfv7R3Lo47HUmZyApPR5CSLuLFKy+6Az0lWyI5FSQtM99KwKUGSQhwC0WVmSSJyRNrM274Rrq8kVDfQoCwb7Fs5QLxh+EE6HSkGUb4geQ5+T7pJeqKmxjyJjiE6MFvBYqlDycwc+EXCehW/LCpuD46SgLmgryIzH9SH1eBfBKFb7fpAONsI9qgH700J+G4zR66y4PnZ/bVhn5uGAZ8Ff+/web55vm1hjy2Z1jnwiFujFud28sqPuqv37ZyGMgCPAto7W/fWHJEutKWDd5mNysOqUtW1T1jT6wG8uzQ91F2ZEcRczKZC9POQ9n/upwCfje3U73/uR156dWfqVUjGTBXPfzkVoM3AdicH/FcM8cFmY+Mei08HdPOTCfnAQ+rBWnTgmz8aC39xgb5SpEbwRfd/PdIsi4jFzpmSwJ63jOk3KpKe8p96iIq4bfR7FwD8IVk7mTOibIW9RmWIx+kMeoJI3XYHK+krU4Nq2QFz4PmavplCj7wjWfOcf2Zm5CPpU97YLDZnBvzZRPYNOOedR39An9mvuzYbu3wnw5uZz2Y4wSM9xMt+XumwWRpNvkBPXjPRgn40vcA3EMeVxQM+5UyfCWgj6fKggTgpuqSDCECbYRJMJ0/eS9AbiZmR98pbfhPhp5m3Vfx3ZrDSUXX1yHvW/3wudw+f3fQgAF4yPdRMH+n4v7obT9HkzK2N2X8eMOYTP7ccYqNN3m/3tPv0TK171v2eOfyeHZ/AFqs1dKph+gDOsYRWBRmWituyBF/EcIf+6/1mrRDTJhKjtnJ9eNacClQusL9+8rHzwN/lgTT9Z5P6p76VvOYg7PIC1teSz9RJppqaWVTLaOag0tHktWJSx4hQ0YJv5TwdbLd2kVcFkue03StLvYnY1CnYi+hQz/U/VoXPRuDnoBBocUFezLYw8HVNNF/x4AmsSSbG9gM+31wHf+E1E/AE3iE3M6MGBYqrvBJmcpbxIbXbBPwtMj0PM0vP+YruvFAkGxOLcjO10cyibuN6/M3V15XFCTCezfrte7Ym1lGkPzNd6nxLs5FQRnlWM5mrvv3gYrceHBXn3V+nXMmxjrzvva0ePzlFwOjUwd/Aiq7U4VP226oSbc8CH73OAQ42HoAhP7jzsGV/sUU4PUGreRy4VIVeRvPtFx6Qlh08ufc/FnvOG1LI/BToNHem68GyHr/nbD/n3gj8aVvBfiNgm6xkdv/KPSARx8AZkZkNkln8ArEoIQN650L5TdByEvB3HM7HY/jpiKBdshUcKzMzbuxjPeAjZQ+vifUmG9tROcb/w8+YLjVjGxm3RVOg/sUbPG5tYImDdMhg8r5OQ1KV/VSV1nItXQ5cuh1OHc9YWP7c7dSRfsB6pWXBQxwAxur2mOneAi7eNWCtlbXdcNE8yfv2C3h+SEf+6u3sg71x0Ng5Zcm9tvB0EslRFr6ANbHKsVwoU0+wQNjbWKfWvP9vtvC9NDPcmJdL2w8pI+90uJk+SzkP5CA6fMGR/Z4GsGP75O11lpIGZM4HLUGv3VWBgUebq+rQx0/dc5Es2PTOGWaIhdY9HeQl65PWzEk3PdROwx8n48ivBl5VoJdMb+J6SHals7NOJqdpnIDR0Mv33hs3tMvn3ONAttxuP/LI8/LeWmoBbDPyFP5dx/QqYWZOGQcuibGZqUxkbz35ShzFk7zMZ7C7xSktTCqIDcSaolKoGLTAGeLQqy9xbM57s65x8qC9pByVzaC0Ap0B2vFQh3ouGT+CvrjywbuoiF+pJs/aSUQG8TF3IPY5/YNG86YSG9N/6T3n00WFiuUBWRj4bQI67hUrm95jJccudlqTF4HJ6p/TwH9Ukf0lhKbSRUkG8c/Msmui7Hpk0iNMs70bLsDze1b4qFp1V4Ld1RYwuLONQTdNe5vE5eq3J43bX9/bo2DvbEELZNYxUA6LLx57h/jnlPeDmYNi7t441ofnHFH6eYW4VEohRebcVhoTF3jjHfjXNn2KeZTaAlhCUuaSse048zYnYb/uOOZ85GccaCHQ5xNiks6HdthbWkitdyftS+x+ekDM7+z5555ZW/BjP3elBDTqz50idyY718g1tgf8tICpMD5MDhO7h7m74yG6veJy2WucD9L0rU/yfPtUoHdEv4wyn9/xwOy9FT7rYoLXQZ40Mwwj1J20aiWaFtpvHdbxj2rkmangwkN4TSHOMwdic6yewAC8EcvrDLbF1mQpiouDteyBD6+cyu/SJl7WgRfpEvjO8vsYTiLjus0t7stQI3i+Ce2bZ430gfzkOZLvZvi8yx7NNQB9aqPvejBdBbDNVv/F2LCPp5Ky7TeNWuBx0JFum9TFxQYixA2wBuirj3oAjR/7HOLpnHdJD3sPYgZvlZaFGkh4fN9ej4Hpe3Bx6RguFd2t5Ui+CPWPFFz7yzZo0d+P6HMFrbc3/UFBA1mKS5das+bPLaqsmWNzbtOhf72ngp/eOaAdUJT1Nxd4u8PF50axxTvmf7zS1RUtWvfgyAfwwyMN+OZXf/FkfzJ9jpn2qDCfi63VGfRfSEx/3jPrtBbDlgGjX/nKXOBW09vWaIyvtN8ibjNzJyRB71MSJEka8wr4lID/NvVVqKLk1eeWyR6f91Zjegl4sP5d2rdf+zV1m1Fd4dki4ixD04Eu6jiHOPfI2cMSBZ5PbEGnfnGrPlmbUMXE8kZuqYkj02OI5EYXKFfxxtIvFnVBl11MjJBWQnKKfToQlpmzH0flpbNE9fB5ZSwJsmLngfYEfa8CZckOtNpVAUOZXhT/+k77lEJsPQXAxEKnPJYg1z7vBwu97h20ZNsj7fQEXPcm8z9XWrA7G+aZCgy6rbkfGaKVQIRT9d6E2yuwOsp19micZuWumfMM+oviI3/ffuSoHZr32eQ83U+F5sd8vlbwmi+dkq+txwfm1RFaiOnCQzX9PZf517/Q1FV9i9D0e0RDFcMG6mRJmPeRM+RwtxWmdgh8R4C56XuEr6zgftWjcW/zCXzsK//Qr/KZprATTmHv1EEPXom4eQRMBLp5v5YufGaHI1zWY/ZswuVZuRj0uDrj9e+11qgFTsDAjJQOn1Y6JiwfwysbMKb9wgQ8jz2opNd78ZVfm4Hf8LDtgcmW/fp3SV1gVxuFWEzXpuegi6b/+qqiG6OEpI5eaOdPylrW47+ZTtbP3DQreZSc38Rg9/VgckunOx9/c4kTrNUVnjboNHw2NYyGa7lL0r3zx/mZW5LPpgegCzEmkqiNMJousrdRGk/n/Zo9j+BL/9Pq11x4PnGaRy3aM9XTNwV7Pri/vao+cqresG6XY75d1U+dO57gyYCqz65pl66pnpZSbB8/e9DMHHnOZsY5+IbexVYGoMWPphe4GP0PGnk2aNG1WdEzdQkTIRrMGfArP0pq/EUt24Pvck1jdaGsfyiLtLmYx7LHb/DdJIm1fQztiDpbl/DSpvFft+5ICs+qzB2+hzgBygxtRCE3sOcKJhKIU+rObL5WXL3eq4LPM5cUz7DuhRTJLeMT6FDf3O9NtaWTXKjwYHEkKPH3VvqgaPIr5gWKoYDYu0dlJQlxkgqYhZ9MrrqrkeDovYrlxtzZSWf7qikmDUMk6/lC8pt1RKBvrAlJFwijIKS2Wk+E5VWGk/uT38tIrtzkfjJzMKw24gUuq1F+gL98o2vj/svNVqUa5XvVtzuI9huI9687KRf8ygVbn465e6ZiWwG/vzVdMueClHsHVynb0nJMsswFTXjeXsjae6BZQHfir/p8s39q2FzFyODl5n6vpr7pP2DOp5afvnUI/S8DCB4SLgfKmmfWT5ModEmQnnlBPnjw97m3bGT6cUlLBjn1L+AVHwCge8GJ6UP3LoLsUaEphe/Qmb6kDTO9Of0A9NSgCu3w8/aVbxPkLtDtwENgvB6bCqZC32BN1r2bmD6Qt2rEDDQa5WwpzExiiGM3U0dQ9jNVq/qCdfmmzHpw0c6VM4V57/knU3ezNhsZJDO3fmcHT4Y/8xAMyv67lBRFNOqvtcujbAXtBf4W2+0NC2mDTRDg9oNgmw3s+QAY+R00V9sgLogLdHDexoIDDQ+zBwzq0I53sIdscKUvO0Sg/1O2qklx7P2cZUUyrRzD/nPO2BxmEFsbu1nN/Ip/tZqtTPtkSodk2DvMOg3N/cRU+8P8AQOGJSFz5Y32uuOIrQL8xItFjW9t3BbhHvHMuZg6Xvik9kONqemRIMHPzMCKS5rP649WRWqgK95VEGf2zxvovOX7NP59mnm/J4TTTE9hCfuj0juvMvUeYfLKTX0AXzqgLdLMTZAs/nqKwXoEyR00XJwLuaaBzGiPcRXNwGrKzbS6Zwy8Cuff2E38iqYPRhOIaBKBbwLdOV0ySz6YkyRCtCS1f3PnzLnfmQk9AoOufGzvJ+F9pOHGbmx8x247iPdtCH73w+TUNuvnsxySHuxgA77nDQt1gb2KxGj6jalLJewL2IpMI3iffr7kvZ44/LwYgISJ6WH/yIZtbGbqEdBGpUB+xuVHY0s/DcH2LH3LGNCcnUBcbO+50Dxb213qKlPR2ktrWYAZRtVLM1/uq+RoBd+my4FIsM2XHVLgz0jFoZVby9upw33ZNWB7DWjY5b3s+K08bz0RcCTDbXfqL87B4UUDmlUh/Cy75L3meGnet98pcDHusJ3HF5sW5T1//3PF5y3Y0fLy8xIX7flUJHu2ao3XJOHOn/+nf3/uQi2MpA0+eYQ9HmKIG/OziRT8cx2IIIlym6NctDRbZYR5YmavAvx6GHSKrsTy0ubPzEkCYCNzU11WBR/3Jjfjp5effGPDbnMM5FTZilQQm0/cf5x6b6QB8A+8Vmo3dzG2UgyXDQYtmhd+SguIEbTFqiekcSUQ1m+NqixZeCUxeDsLWCKcUe5oF/f4WAJBUK7cimkzs+xOxSwzZj/ZmsBryrDsk3zvtqbmbcBGa1ugT/rtTXK5I0G7cjFlUl886vz2aX/UPcpPYsaELV9gG4+G6gH8BGuCv8uJ8q62FcTy5Bt+XzbjbqNswwDZSs8//Tp++hoL7Ttpp37yWqiVQSz+C/zLSxo9HPy/OYH3NP53r5OGHmLCvqbObObqLMeffBu5pBH6SiPiNgEw1vvs5xTF5fO2qaIWmNL7hnjn5uG2510K2qF8mhlhp/PNLQsi1XixgfVf2twDYnVAL78BzJTYVeMJYuzB9i+niNjYwV5pqTAbp+9j4L8TwWd4rViEpCQaWWADi2TLAv7rjB0vqwb9AN2+O0WJn1mzBO204R37nQ/LHNKyyF6rYnrP7PaZDTNT0XbgIxc54zPppwuzdcF78pUV2jc5g4KBIx5b/xg91hoh/yS2A8QZtwragb6Dzke7B2GINwXovtV/nbON4NfuAnEGdk1Y/LnAaj0bQYYGWA9eT2MXtHCvHWCVCvxjmY/tvhz9Zy3skVkEEGd6r3vlAo0S9XPfY2MS2llm44T3P7ljr/vlPac+aAqFiIXy3JKgO1TbPGdZ0b+LHNqMIuRxq12rUI1sJDMObfjGn64y/Wgt3bF+DuvY/+aR3PMYvisqN6nGR6Uvaz3ilVP9WkO7dLbiv5l2PX6/eVWMMonCx4kmX7L/s5SDF6e2qSuVoPtbniN5zIdtm1p2iN/nNyU81sTwPIvpq7H5ezMgdjrPb5yZfobo5yz6letoajpAza95tKTViMrKRZsmmlMp5hj02wewzg0YMWXD5KkOnTlorhNKvjHEj9OovmuXLLUDvAW7S8afP/MmT91uYU62pAN6K51f3hjzYLfJQ2lq5Tc5b2VpJ0t13u54AZSE9LvR1uC/3XRgC3vf6kpPjyPK3Oo8eydhtwJ4kvNkBF5uSdFsSChdiK+wpo8F+HCTu68+MLc1sxA2XeZAr2SYQZxHaiMHdiVi+m6c7aEO+w3X2pcabMP251Mf2hATc4VSN1+TfT7CZ2LNQ46lW/ahBZomFeFjOQndKtQ+sXV75cA4wOo0jdqUxv2mcWFd8u2XEr0jNElKNk1MmDMQ3Ym+3RyFJ8Fe/Z+ZT7npRyhjM8e6thadOo9H7nxuiMMgxpUe2FWejeWqKH7l9y5mlh/t/8A6bkfSI9B2cq2EBTq+3aTW51WIzJMatLuLz4o2Vzxm7jG/mfpjltLGa/rk6xSbTiZclw551nFvKxeZu1zYb9mGASO8+BBT/X1YSUwC7WPmrXmAVrJim4C/l67vYv5pZ2Po1H1vVY7c7yEuylil0m41ozI4subKWbiqMBlPoe3iSNllwXFlIUk4P1TR9lXzCD6yrTIxYWA50NPc9Egowf4OCukAuMHszR3veSgd7lWD3Ms+9A6W/U4inptznVP4sIyWEEhe5Kgysuoec7STfXYVkX1WEAdeeURpoN/Bx7O0C59qTa68vz33Lk9okIDN+GtK2yTjOIXYdz+G2bVyPAF6XsDzW6ph6wCrMCp0Dry140I9BGOP2rH5aZzijOIvwl8zF+ZbJtpLzsIHcMiPZqQosUjhk1xMHtWhJQLmgSa16kLJY8SPh1Weq7G/Cmo0ipRm5hgvEqKE6Q9rzhRwBJp0A7y+L+1PJ7PR67z3jQme4Fhx4BjQdskXeW6/TmxClW7TU0Cuore/eZy8pwJ/gf78wnHLmqFd4O8/9pYXn0Z8KFl7z+zyWurJFqH9Dcxi7sYupSvLmpMXb7hs2Djy/WZmMV3J+/b540f+D2+wCEs22LTq1XFv+9dsDW2IOYEEfucWM3fcBQHPXHa+UzPm1cCoEJ8WtUoEa3//P3fZiDAdsWjeAeeRHDQevPb+YC0++NXpxLYBi3EAz24DscBMXAfNqQNlTbgq5KG08RsfJTw3k4PH7+A/PO5YnvqZY8s5E3gl5+0rtwd0VNs1/OJx/vkwOSBkNPO/1FyHoL+jpJWxn6RBm4DmTxg1c5Hhs5m+RkJeMmHnjYPp/jnHeDA94VsJIfdOaWPVoB8r138H/fmqXbLMfGEWZfc80CwVZMkRHnKGispJJB0xbcJpTxxJIBanDSKhAh0PdmfRMHVOES5TsFs1zEul5SxG3tdOksJ+9k7dz4xr0y/pdQ8L+zY5swLtskLhjCFglWStrdluhh5IKvHheVtp1565m4jGnsxcia+6+7webLUoXd6byNS5JQS0iplL914N6lmF5JKOmb1f1U99y2sNSafvmasCkxPBouQjp/wtRf7HMfKY6V+UscziqxaGo1jYfp2AcWsE8YOSKqXp2oCOaPj0bmZzSPgskql9bmZZuArnIcTtGMev88Ny9YM0SMp8WMo6NPdnk5l1GhCBDhC7Lgz5d2C5Ng3CRUVTTqJWV9y/0NB+L4dZpIwjiqSklmFK784s7FGkv+pA+Rwldh2S1/e6iJicTxEKT4P6SpkNsXSySAR7odd7jj43TYAgJvpHHuPpYF9W4KV1//xjZqENoE/KU8w3bNgi6QK0DCqmfDpi+/LkwIDGP6bo93we1jMBXYrlieprGpp6axI1XUKB43zCLg7wBbDv7poOrYMdo105qWzwlCupGqe918O8Am99pXGyAhMDr6tJRmSn+kRnHZkghv7Wp1CNQj60phc8MzlOygFWEZNDmDeJKHlXK9gbCtf9Ch/qucX4fLvuHX2HtR1g+bKDg1PQ/TnpyXceIxtiQag4cBhwaj76QDf+671Q00uvLkLvSFWhBM5EzAsBDNtwDBpJb0BzX1Nm+gEswN1mFlu4/H8dg7LM5Fhb9rMU85WERi+2j2pVuOKkBJ/wusuOcj4BG01t3hsSSL1TrIMTw/dTLLNjpKpSJ0PO5TO1btfc5I4z8i0LOe2tZtMMoLF6xdXIdTroTalhFQK1inBjfNMzR2QP3+XFh3kNfJU75I2AzWVmXqvjObnTAm2r5BjdPN79vWeWKk0fvGpAWTNqTQKe10ZbgRUx3VuZlexooNIS4lodmzq7hVYQR7PRt06Rft1lW0x/bupCrlIjt6FJqCKNJTJ9ZNrwROG7UogLfenIwLfyAgvcmfN44mGR/qdjTC6rfmtGvqQMz1yjhem2T63Nv3t123/lLD3rAK+gM2MSbVsiWt4Ij1dRMgA/2I0jf2YsUzGNONZHYnK1gGH2zraqkWoPDjOc8fyX99B6wAQ+MCjomsRt+hZiPQdf/purP+C13Cjtv3GKjozzn57TSv91cVe6J+CbKiZmJiish7lPNPPAVH8q4D1idq9728x3MrMz+709pQ1r19Mgl7p/eGxsIS5MvtHAr71MbRRJtgV28tKqQN/AdRCnp5ugfmRqrVi+nU4hwqaXU+7MjPDW5NAwShMznw5iDr8qR/vgT1fGiMl/TcBS7IzxBPTzh6lZfOllondezpYqs3CSO6oStCX52AAzzW7FMU8hVrHw5pz6hdUx7N8Bk2pt3/BYemnsMwKxkDLuNoP9UENbkQHiz+rnsL89zmxgDP2yQ4hH4SOzk3eM/AU4ExjxYonIm0ioI8GbDR3Qho1mY8yzKvyIhklRaxyYGS7AVS1hiZkZ5cJ7xhCPw9pt98DVmgVtcXj+MT2vX3kpXrqaWfVbriBOZM70vXdkJ8R2abrPO/jsCHTdJdMTaKrJaaw2PrhTVK79vWLZ/eCq0OQMShuZOR7C3DNC7CmI1Zh7SFaN3BH9b97y/V9f4dc55m7NCtBgwzbLh3aXxn8tiO+yAg4AnewB11+kO92OIAHSQn1V/W7FMaLmTB/8dZgzCYyEiypMLSK2MneAcZzHb99U0ANP6ngXam13UjebcuBZWnyCRkJExP4RW1qQnh/SkAN/kUmO4cpcXslhdz+FxmegjbkjZ479ODjbjzrGF3heV5GD/xvU+6nvX+eHAWhMRFDSN5zM0r7AjsE5jzZ25tgsG1rTB/1BHTSyVb417HLfW9tjHWqIbYuu+3kGHyBKbe4Xk2dZAJ/Hn/dKa6ceL/B5W1fa8lXHsdJoelcuBvvkZW5PXTMsWCH5IBqvtTY5yphVK8+aFZueo2vZ883elQ7oaA32/dMr3cwn4ihcfu4lxIJxkexhr5+Pkb4wiK+v9xKBtH/89vr5JM6ElBUanWnmGX4TB48Y+JOEfG3e/6zEvTzh9flPDjustRqJdRoeCx5aKsLllgp9rsHPQAyF560IZZ9PGmcv20gx988qJvjgStDtEEdEsxyjxZNR8pa55k5ReaU1fzHQDazvn2AnwFf6ynWSilhyPqYbFiOz91NRTD7V/npEsDcCYFL4+7KTr+eVcDOLVScQg+cP3mcWxKEp1dzn5/kA8ZJUHKXENrVnJl/Cd47wrXgYOjjyCGNI5jS5MQ5x4rytQE/3ckCOAmaDOOTD3uE5/82r3MFnPkibT6AdDrWjglwnAeslJ5Z+5sAFeYfecqryPIT9iwjoPVJWxk8x3qViOWZi8XMBttInCRvTJ+sA0izJRWFq1MlXFb04aj4D/6Osl++wNg/GzLkdvFoxuVzjLxnAZwsk+OM5hO/s4UBz6Sbxfk0g3pk+U59mrpKXdaF9pFqIYAe/w2lz/mPqUKySzbh00PlXf41g9S7+qhzlEdO3NNZdY/30fNYiAl52yzvY5LVGn/dG49tRTG/HcNvh0Hoe48nC/SSy/5cf0DyOxVSZWVtNlFoQq181I+c8Ahe5+ogLjQ7WzQafdhEDdliA71Wc3llh7qlMb2c9qx6Zfo060582DfXtGJYWR/JZWRMjzsXhcX/ng/JUh7HkSSRieC6RfrHNHnwRJ72GCLS70p6ZGiVq6uZp0A5NIM+ls1z3bvoAvRCKfvmmEbFAp36AH0lKJqXRFspVxPTzhPeUsG5XaevJ9HvCCJXVyF465buxHgtoS+CLxGLcf556rzdzKEDbX7OuXVV/uwqkgaqnjsLzBt1kHSx8wbwF/zmFmbMEoIgdKdQ15Z8LxKGhsqcJh9sMIq8Nu+KlU0SDdNGwmwMWYdo7F3xYNGjhJ+6TG9WEnwoF68b3mLV2HfjzT85eDDHaZdd6ZG4j0LOhxGbDnBNh7yuRSAUc0QAhUiuzGfr78lFP1S/eMfYHHkjGXF9krv8hh2VO2fKhhsU+rOnGxADa8RkP6uVXlv/8io9X5Rwp7DdT0yf0KgfwTbx9HilJyTBtUmd65aXcuDkVLiSp4X0g9j+YJqa3KOjlnYVd0LPMNr6wxNaynALf54O8Su7bZQH+J5QO7KEMmOYDs4cFfvYds2XJqNqdhDpk7vQUHXr1gfHJilO5frp17GdmDjMd2JOOvp+D/gL/tAOO21HePKlAR9hXEfh7Cbq/bSwF+sQHXsIHJtREND8QFyRxjxDwYim59kE7hTz+vU95wwGyVd9eqgCcVeQ9K+f2ZJa8V0WSAo99k5XvKhu9Awcy6cyHUwEMQHHP7XbHrO35KGbTn9aqYnUHllhy4Jam0BeSzxGFt67sxH+xKH/+eUDMg5iiKOX+g1Ed5UJZBDCosU19nroTNkUqUqCP9bUOOc/6hdShyc1HFxKRb4jl78cI74CnCs6nKI2bpXb5CP70mBaXV/7hB7BshZmXEPunNoM2kamDkf1+bcy8e2HqX05Ded+75VNG8+YUyo+Tnu7wDCmLwKLZ4mOmgpL7xl5ybO5VgBNOAah8289YqF81xaBpeHlw2iePJwas+QbP6FwKxf+vz6nFnw3wwAR7vgBOBAbw9xThM+jW9aePmNbfoCmm/XPegHYVQFVVCT4P9G1Su7/5AEvqtH2mU9P7zakEEirc2bWG+FtMgal5yGMCej7zchtsjra3avy84mIq4TlcRAexredn7rBHHYdX0GtIDVPBI+ycIv5VUYyZq16+18U22vAQrRUKXU4VMK+8cAdiCPiBKiJv0iWcuRfrYPNDI5ZvJTYOtnmeruGzcXcPox32rh9TIWczJwv2W5+bXqExebDo8UzDzxfPH0AXDE1B3oGhbO6Wj3Jsh5pJkNztG0fTETQmrSMpc+GFTcEexzB5qynPRbQ8zbwA0MolDdAbaNqVW8sbpepDxeiJ12xj+tiTQL3OozwqVGL68Ch9uUugJe5OoIO3RRVtKQGO43H55JRUVbT4paXeK9B/xEFxPf61zLx4Rds056VzDHabI5/MueodO61IQ3T/6WvtLK8zvY6Nk+lt0+N8NrawAb1v6gJWvHK7HOyPPN49ciu741iRI808iWTJV3LN/s2cyUxeEsTWt73bxqWtv+kwpbKXxamQH02s+5L+zhuF/b8BG1W6oj7wOUfHyL5KV1bAwxA74DsxM382uWAmVzGYen0+QgwFnaCD2soWFU/32m4LEl5csPn7if3MS/eJRpxTPJUQR15nKaCVY4hFDyrmoBKzgOd3JxYiuRvavCPI9DaumZZ5keQQR0duy0PZk4/G2obE4m0jZnkKLw5oQq9ycE+jJKIdkWkn7aPAX83Aflm0tDECxiq4QJ6yCaO915Urwo3pHUx9kDHJlyoUo3Eb8tD24Fm/l71cazvJBJsk/ASppWRl8lNh7TLNKbDNwnvg0kgfTN+L171DjSaPidavV7MX/kKMscPK8Vpmo4IBm+bWdir1dOAWbptoeZMhsY/v8wEXO4eamhtXgWWFm1SbBju98dtO46AP5er4sOqzmTH5yt8wd7X75/YtRdn9GPjgRzzGgr933uG1KdoJg/vDLvi6Ycak4DM8T5trBnbXXk7APgc3ATZPSP7c4vT85w7+9A6x9qzc6Z5SsHEmX7bxY6P/aaJv2uE2c8h4ik0PeDO3AXcCNLEctEfCB/grzeA73vCaHMV5u8sEF+p9PkMcWCTsCXhWIdXtQ/abOxmyJaWfK6ivl660TyZPt8OZcmVXsc+17qWb2rhVNHPFcNuI3qN7i99M312m+dDE06gGuTv1sk2dm+mBS80dJy/aM8TcO493LnVVlgpPCHjtiiUvbV6C1g4rbeZW/XGagKdmjsoR6YwVFw9r/9oAg5r+PThcQN8QKw+AE8bMIqGkMsagWf4ujft3FaylfNQW7uQGNKabi+2UrW1bCf7K7YG/5ZtaPJ6NkzxkDL8bJpsOyz5j0ywQmrEj7ycunTSU11MgO3MeyZk6gq+8N+xhHwPtgcrO8365nShxGcpMDwZxEnb5ms338r0nnRx/ahUGe38SuKLnGzwf/gbrUanxcyNCdTB5GWJI9sCoJo8E+Am0FyITBf9Dh/Bp6vlAex7NnXazElMTWZ36x5NFzAUOfPGGyfMZKFJvpfbHWqMzQZd7bjjHnjjYE8S+bZWu/eZgeV+g+TzR8y9m5o0K26YRtoWZi8Pbw09tBDd34NnmJORZmT5TTrYe4+TjV+vFpXXq/zgqXEIx6hR0So/FfFdFCDpQF2kgv5TplQfxD4fMYiKz+ervJDX1l9aTMZKXYjazCjrJ9JfS5fMYzRGzEkq0orn47SuiK9TSyg1Bsfv7ipNHVkxJJZTPOvysrcQH/bWYXo0p4FHNE0FtEoPNvSkrMzNqHqbWhCP0nufzVz7yI+nIA+zdahztNMP0yNj2dc52xm7Si1FasLeuVYwo7zdP2E+SWS0wfmlVWn2AtoqZKx85wpiESXsMkM9HJZXbX2FPfDXhUnKHXIk1t7STngjRlwrlJWMqYeHvHNWABP7j5w7hPINtMdDk065k7VMh4vOwPZcF6XLLu6egb8u195SFD9zWmYKYAd/nztm2oyvWFGxG9n82paOP+Zq4x4LvuQvMJ+yXhtU17Td5YGYOyP1p5CGD2Ah+YZBW8nYUqq0LdGgoH1jgm37JYYr8OS10LswMyf/uj82Z3t5WiNm8Je50AO0SGj+S890TuOfF2P7eRVYO+yHniQXxMKeFnMHXUMLSe2klEjSuB3ufiXHCQDdpzVWUUn/DHP2VrfzD1D7lVvsme7yhrun9PDu5VoMaM2AzPpTP7atPe5i6oEO7xE5dtmCGIWJsd0dOvJKCfynkXhR4YC6Pc0TeDF+rgiTEzIqLQKsVydp0prd669IB/B33R+BKW/afrjTzRqKpxQV7nRENp25n+pAy8Lm7nKePyiZ7+KcPqTEwfXvPNX7HnQ8+P5mzlVl1uF325qxIoJsI2yVFOJI9d+iYCN57T2AOnhb+Eex6k9qoTGPyYraBg60CeW7Y0H5IcbPMDKSM9g/Q0axmxALfkIsgXEDPl7i/PWVvrdRaOmWbfjkto5H1UKZ/hZkF7E6mN+YV+PbY5FsHP+fB1By/bEMJ0Ne2ErWDEtBBD96r2NzT1qvUldMGoJMGo0GAYzPQmQhidob7bXCw/zuXG5GptQrN3Bts5hSCziu5fq+L9A5sB8zGndf54cEpV/CfBcQJRwA7ysirwB/F8L5rPfoPMZi5b+wB2ticXVtU4wfPtyylesgRImrVm2PoAcu119LZgKZK2Cm/Odnwcz78OA23V985k0ewHJldMJ3AmrcJ+Gcmz/Na9tNOvs9fVUh8JjzKw+UsaDISqtKsR0E+qqTstQ86zPTUQ5SBRa4E13y3IQXo14KtKSNvTYhe+gufYnSu6M7Fps7DBVplP7P5rkz7AtbyDvp/Aq3+Vjuz4BbimZmhTFsN/KdPnbqXwPjS7jciSGgp/ljEScz/XzkjYTmiCa/+48Ube+dzIf2cgO7OS+vTJbEsqZlzOEA8Z/Y95e0+Nb1lbJxUpmcWm3xTyyttHNDe9nOxXIGbDvnY+tzdWWm/3QDFOkSALx1sUyOPX2uIdeoqyu0GfCHY83c1Tu91DHvNUrQJEl4W4VUFn/fT+fYQUbbhg72mg/2mQjXzn16Z+sm70obntip7CtWQWDmfTO/mJeeZfdK/uSL/+Zj2jQq9A81uegh+K9BtMvSKdNQRsFpW2TKWVrvmNkSoGBPRywNzlqAOIeaYThSF3sDeNWegolyTncnzJYWOK6qsunjplJtNXaxPgsx53G+q522pV55nAlQE+MEM9E5WtBfQX6BPJsfUllcsvfJQQfwggxo+7UyYiT/ZBpjNl2HSgY9DWBAb4rgtB5Tk0e9MrjXvOOwAgBnHLrieZhryTg02gljmq2KC/TbNbNzdT6N6q1xN1bhblA17D6FH5ZjZ6EkEMTrKLd7VwzLi89YnyHChDXZGrFM0v/z8BK97qfVfu+Shq9zmyUd5UUHCwBdo6bZWBs+LjQneO7BP3f5ZC/yWRprXtvLTIb1Woz6Cpi1B5+Tgx26s129poI8mnw1shmLxWyuNeZy6p/xnpt9dDO2Vgl2dmCInMSV728en/t/8NMKS0NRLEyvxStc/nGLMYN2voLNFWUgudWvusE19l2Ghg9AkEPl8Tovf3kcEYqJzLGQG6xgyJ7yeQvW/Pof/8zkQ5ydMTU3C58PkhYl/91v3g7PdHdbkqzTzLcfUrPPldN5ezVz4Y3xZ6y5c+PDb+2hzDP6uzDH9DacEQ1xVHDP+vk3FeFlhr5AD8P4R4gL488TM6zzYf2HHt3PjptejmQUp4L0Ygr2mNtLC+1yQkJi5QD2ZueWZPjsvnbKC//pqbAJ79PZUXTJLZ3nmpk/DED5kgQm2ZtgHyZAO7TvEuQNokDdFFSohXnEbPalWcTl4Vxzyb4gtMRNblPEJBJOZkcaeMkAvttnlAR4kUnzvSPAN8iKLNhAofKSIByTaXHG0JBx0leTkDWtZlmI64By+a7SxqNX2IkzO6h243tQSBxADdONSmsx1nD5VnHybetuXXm7MzNce9myxAy3tfTDLO596YGVT/+LioApI0jimZrm9mvowYM6LiOyJdChPhTlfxnY1IAq+4pha+EmZDoj7aZdMkyrUHuy71/7Kgf+Y5ElQWRpVbrs/RvDf1h8PmB4dVjWL81yCvblZDx5j0FnlqIE42xWfZ1Kdt6SykxC47J5bMztGJGed/3UK8CUVFydF03dtPV624QiUObXDHs0IeyHQeTVo4J9yA5zuHmGfAgPaOAR2B/s/2BnoNMx/aiSp/sAdWMiYPFOTuwW2vLc+FzpseRrhPeiIjZkXZGqTX763jkIzK5AS59OSQeipAmRMtPP2dkuPtK2qlTg5sDlj8wrfiIKt3YFvL9ScvxY+IlT31NqOTIOfHS52LiT4of6q2MzAvueDXb72cnjq0JO//7krIYGnlP0zdyK6ecyaUlygsrIxZY4FnwO8IPczNWj7yAhWHXzfsV/qfLvHIklB49yBd4vmOTPgDJ5bQPNh8jw48+6lHdIQ4oPgAYY9VlIGmtDfYLE1d0A2N3dgYON4TKI0kl+lSHbHGD3qkV1hjUjZwSoKb2Vrq6VFTH/mzd7yBMTCAnRRJ6KpKx37pfW8pt+au+q50dKcYx9r0MCgab4xS77zolwPzgTviSzKvK8j4gWl8u0UyV1tlK6WN97zRXS8MD2i67F9gp195zrdyPdtIjqJSfd7l615SOJa+ynEeavWusrZAj5L3Y+wR/Ku1SRsS97xb1yYOnDwM+EM2hA5J+EdUgtQpfjcmP1QDYSxHmxjxJrTn9qFXfrT1fa3F3deauVReA3sZg+wDbeBvVFrssGcX35yj3ts8VV1wPFmbmxPoq2Vmv75pj+RLpej4N/w91a6gpo2uXrjXws+T/Bja0aLFfx3dhXYpACftzKwj5P2naPwqnRAM2i3r5IiC/TpsxlCsGXze9KfBpPllbwJKjNgJ+Cq9mB65GSDqfctvbTzlzoiKX6f0yo2cxX1i21+elGBjS+w9rnJPwO/L0BPa/jPG3BfCHH5Lpj3IR1iK7tfGnPWRpUwfSbFsDChffvUb2UabkGfpXYe60KGdgc8luZU0sxS8qWXudiC3/u0YScb7QG+o7eBaXM1tl+prU1fP5I9t9+88M/E6pfMMCrSm9zVVSUmTTQ+sE6Cj+rvVE9IFFoIil1c+I9Mpw/g7VctzMwoX2tb92yUD4mSoYpUnK7l5hi1ZeOYmVHyJkEjVx0y8zF3dcGtZnhcD27yJQcJq/pnLbv+zh0zr0Q/KvDLagi9RpC0DskOB8krhzOGp/6EGJ4wC+AvUMfT6C/MzUAvfprzzd3eTYA9kqwswE601gfH9PSeCLced8G1e4x4t7enMTVxILrYwKQ8Z3PAon7NXBWdAvXqK4JTa7ZEka0QK27EMXMbkd2sjWvmUIAOeaP9QnGcPWvdBnxEZsbdIMON0etjpkmcm3m34ZSeGKym0+rSAh8I+4atvDV9r/mIX2cpJbCKpVwynwbP3LtZjbVk1cCPpm8a6KsrW33ccFXQvn+qcfo69fOH7LdrvZYPNfpPgtK7EFNxGpYj+GWvieQ3C5ILZdkdI183w/Sb38v7OYR4+k1Mj/tV+nmXeTTCc868bxFKq2T8rYkzB1g3zkFng30Dc/UraEkzo9EjNDmCNnV5gCD2MVBX8ptq05/oj13zKS5X/PG6uwH91zZUn7kt5xR8Eej2UK4kM/X0R96y9Kd3D3HKDvW1nsAfSZ0D8wOXHcAO77DH92D36cGycdm1U9XLuRnJru7BOziw9230iss+7RE5xf5EO3QDvf9sCtmbyuPUlaauksL+jdkwV+n71jkF/JvHfxfm2MdK924TpC6mwLjhMgFjXaX+6xxjHZMAtOM4bTDYAV75q7Z9EEHq4ZF/NdRf8sjcPzVPGapLw6YW/Doy99WEIzdj6PBTHx+1brOWT1lcNmX/CbavcCZAizm3597S/QF+pLBzzjStxOc1c/++2CY59VNnenE3HY+PSL+DRcPn2jmU+19VnxSZHd7TFcnaLZ8s1jNw/vVgZXZpeZuqS1zAil1JsyUPWwoxJK8o2tRrZoHm+8mPksh/aYdN0z+u2LLuoO33xkcdRQg+TYOvVkc8Sk31zs5HwPPCD+lz3lcR6bGTXTECfgIOluGS16vfg6YFHzZ9CKpy0OmBcua1juY76NjfPrfmDKSkMmlWfGSDbJXtx3vXH6rhdldR9qCOhnWDmLyiY8ZCT5q5z+N0SAWzzbzWur89c9dnp8EeakqA7tCi3rd38OmahfOTWtbrrs1Mff46cuxVg5dImx+xJa/NqtrGnTwcTT0XvDS5EUyXjhCfaxNdIIbJI+hYhw/eNxPyDRg3Bv5fK9unqTazJhTYxSdowm0ng1e9w7xjken7Y3rYyhKv6nLkesNGLE+xdmqOLZbPZTrIDxVhC/ckOyH0zO0poz3xUqGyzNrYletrNuAHjoFl+5mCDnhWpvePVuC72t+eaRg4LActSYakZayVR5q6ddQyHCt/b+GKFpM4xaEDmsMydbLMxt4xhvcc7Mcx2j327nQE37wAP1gU2IUi9NP3AjjmK3f6n5j133sx07utZGZuafKTy8Zd3yq1FAxl1n5Nzsfc9HALLcUIAW3U/pzDOWTBA2lVV4LNS5HGBPzh5IHNfUMsasFXHE8DJtJG5qzilb+RZqP/hc0MsRChY5j4zDR/crEZSmmdRm4Bj+o60AQUc4aBOw4usyXsL2D14iiAHaMWWDfbSIrOP/fkdgZ7or1K9HcFnfdUBf/VKdjymFrbjEQcmFNGqd1eT8CBJdueT+GiQU+JRmCRRrdNKbxMUPQhxomcoseaRnZcC1PvjnrSgx8YTM9sUrDoYXrL4cwiMxboxTYQa1tZId1zF7emPptYdlpyTuj77Cn4OscgQdRwkt1bGNYUiDnH5pk6n3cetZfT+3Y52P73aeCO1Bp8Ivb2Dvi0ghTYBp0kHq/3kqfir5Xy5JZ3/VWMOlaifaQiaatAQTz444C9wb7cJqB/vk5ie0tpf93bJiKzK8Th4RTZ6x44/LCS98NzLo+ot0TcW7DmXzzfHpvit4fJE+CkOI1yYQFCNLpcOeylY769pM70RR12T0Wz1tbtyVnr0S7ZlS6iJw2sCv6QRNmGxRdLob/OyYwr6rEH+7jlnU44knNVAA++b193o19sRSlly4aK5Bvix3vW6TMd+dBoJSvuWxL1V9BuAhc8PqF0AV7P0qh8gEJZmyDJakcupj9nGiNnb6Fi74AVIj0fi0SmnSpra37NeHKODPsinApgNI/r6XoM9IcIVAmc1mGrLSCemduhTc2BNTuy5wUBv6qGCvQTtmzg8vKZWVs/RyC0i0+nFnpveqzkiLw3q+kt8zr7mjsJS1cH8g32VkipXvgIFDXy5/F9LoHdgWXQSqPHFRjnCHHtfCq4YC7+Th2Z1xEwSqHmFGy/HEPX1MbA37k4whgP+COz0KV2+EunLNLMShvkYmr84LUcxUKrApYqId6b/G+I5xTW5wCx+Vn2dovPoJeGGR8sFDKOnGOkfND6+CTs7hRfFhX7DPgJPp/9wNY2x4V81fk6KdhSXmhc9dtvFtnmHLxXoP3Az5i8iaQKm8XMJ6udH5uE2AoxZ0zAt6arYH/cI5ttESV2KtBAtZr5oJ91TPZkbb1m5axc+e03phTltSr8ioFNHykfOW2TtJji3E7kSWjOQQOCjRwl6I5Gt56g/Vqet3tg00tjZ17GlkyeIa70WwQMOcN+Yyxqn/mwg3hiR3khX70jQHfaH6RvCxmr75KnnkD+QfTk0IytLTs/y9ZPiKOm123SnbpyU1vW41iQc27JGw2n28FJuAS9DxzYqiiRjW3yTUiWx9iuIVYf2fblD+MK/C22yHcatAfKJl3FupJ9eK1BXzco2RifVccS+GG+phTFikJ05b7RgktaaNNT7NZojqsx+ZDRzpbj54L75dGEEAnDnVV2r7lmM5ZWb1XDEpl5ZEQT4NxW4j5dj1SBT5ufqlMTff9jZ3bjijF9sLUHlttdmwFpsAGmAt2aZ3QawG/b+iypzhoBcUi35WFt30E7v8430EmQD6z9UqBPT+oWfE2zANueqTl/6Ze2LOSN6HLTGP/QKade0bVcUbt3dqaHVgFseq2RHx/ftzF1tqRclamP6U48tThLHRHOr/z5SkZJKwo/AEahyuSburAOw8YGX5GJWK/c8b5lgRfgiKIRLaa0B7q9WGDfT+DOLLf96H/Y+7b2xI2l61+zL/c8OiBsLgcjCQRqrFYfpL7TKRZSS8iAQejXf9XYeGzP7GSydzKTfG+cTDJg0KmrVq1VXV0NnG0agL6nEnRcUw+gu2DsBEs0tRehuPbhPEGchXiqmdm8O/lRGcdqfgeeZi5LwH7AasM/Eda5dCY2S/CbUENu4jgxjOdjWsearz30qq9iFqk9DbCasyghdpa5k1lqLbzaR+WqYRPXfvYfU2zA/9UclwZ+vM8cYG068Gx70fu6V8VcbCBOtSFHIfBSWxh6ROcdaETg1aaggdpjh98CzwVjm3klYPCGzjLV0/iql49o9rCD64gyKcaMiHuIAaeMO/uEI4TdWgP+22V6t0UNVX017rErj0KXTtDgmFVOH9cT+J49AP7IrA0MJmOTQ5wGjTiLqTX2I+faT4/6jX/K7w7hmnfgqw7oFFmpvS44zTR/hrtEZyvgFluw6W0I2hliDQs1b19Uzh2NOpIZzo7WOgYtsM9ssaAmTviMmnktKkF9q2jLq83HCRGgfXwjbTw7hm/mdb4tOBpWmgcozHTWlvei0VuwfyZcYeSkPKXkAe7dqhJjMoc4Oi3ohAFWl8A37pb6dLFUVUTnWwPPS0M1VbtqIsFYqWr5wC/7peG0ibE4ZhG7D7XJkdUO8MU8WOqlGzSWDPVardW4Zyp/6iId9PUmda0RdiBKc/ucmnjsg5+udPB34OUpnVginFzXO7hkPjURZygbyiEHW8/Z9rSesxA4I1W583DIz6gB/TGUnaicE2AhjA875+fDE2unAZmzPjU8VWO/z/kW+FVuZa0c0sq32Fz11sqvc209GhbKNo/LoTwB76qWBr4PpeeHmwnoIzHKWkfHUtzRATgzy3bga2NB6Q7w5RHJ/Oyb+SEADSpMTOA+lsCRVsKlRwT4TxtrRR101XqD73Qyp969r6m6HKnWcUu2OWx9ChypLklmeru1O3GSeR7lcqqtjH4LHPMczmUjuOMjiYDrehhsfcc07HEqE+7KFuzsEan5CRtXr3VEGr7PBqrl7WIUVvnTeoYSznMQU+hJ7UNLpZyqPVWCCN1BvPV8PYMYimOqeky0YoDYqXEX28GQe6A3lwn3e2J2erI5NOmM0Td7BpVqL0sWeXUOvA4ZjPgwrmyzH1R/nUt/ZKdTebYmJqDd5KUnxh47HmgQ5z6HZ0ibicCauFsZsQm2dUARii/5L5aNCuB1eduNr3aYG6DDJXZSYu/U3Feu2aOkdtS93K1pP8tN5F96SoI9Jo0+4nAssP0x3GMC/lcx2sVZ049VjzFq7E85105AI577QUgMGnN6nfNdM7VHXQ02buNDurk9wv2VmZ7Da6+NtXLPeL5Lbf0UVqUFGDdaK4wZII5G062I5AFs3oJ4IFkk1RpshQV4aXgL4CBjeKYhjeg1V/kE2kwTjTXy5w86bstZVqHHRHZuVpVapgMvm9v6UmcbiE3gp8gNzgeUwRghh+nY/KwBJ6FE7bWnCYj7k5GqiylcNcfAAsHxwh9eawINeA4n/zyRrK3Bjg6GIMIO56Lj8FzjdlrTubMVHFQvQz0bpqoXYAf+yNO5VxYRKrHRq1gB7+/7zOkiVlMjlb6WM2BmwMEyJq57qZOMC1o4Dz1wzUc+h6en6c5KYz7E13k61EMRgT0Yo11soA2ee6p/NOjok+FTx6OV0NJWMBJNmV+XS9CRocq9xsbtQEBHgea99I1+ORejhhes56Bxas0gkq0yVqp9AZusooPauwS+a2SOf8zmEjCWDf6crfOqrECziqLybN+RLOWLXTr4x6IeDWvmqzkwCTz8qNZvi3l9zc+zpeoibTgGBgz17yZ2wb1YOItdzMQ4HWQQGJ6OWizJEBhFZBs+sCJWC40Z9hE4ewz+B3ayHZCplgvdnvJ6ZDI+WQLmDrnpneHz13q2XTjP50mNznHDrGxWNr4xAu4jOfDTp6RidkC8LarlOSFTFAzeEM78PtdYmzQOxA3PTWXp8TaDe98Cxy4HzGpLQBxg5tbAJAZMn165aCCcEjirdoLny0ErmKAZRoBrBuAZKppDA1zYzWqkalH2qVp7yL27ED4HMQeDD7aBjl3FiQEbLerap6DKeTIXZciZlhloHRvsdc9WzmI9kbVBBjGovqpFOx0jPhmrXsqq5nXNmRETT/X70NI54umQP0Ks7EnrnP1KxsDj4JlgX0Qizit7CAEGILbOEse2MuKUoH6vtnGfNBOmeqQhtTeLgx/ZjC0CqtuAwZQOAvADmxDL/GLO7gToNGF3oIvBT6vpOtAdI5doT2YQp121N6G8B914TprbM6mEBF7RI/M1H6XzyFNrdy94E1IRx01pUo72EPt3lxwEnxySwTvlzaIHXbpBG9UvSvUbAa7l5BtgFSOmwzhpnkZVrYgLvMxZDOHg9ULVhdTXWsdDtFK9ZCqm9rYP0saaFdwyUiPQV4OaC8WbNfFKOmBTRJ5OK/scuv0onzllVk2PAS2fMO3KJdw3kt4xI/gxmXdPlJV74KtWAs8ZMPzK52tGIKZWOWPU8oNwcg9x+BG4ur4ys51v+yPOSxrXaJsbGeCKSOI6P4bAUwsuOHExzinE8laM8DAtE+axoskTnwCCccT85gFix+E6XqOVqdZ2sL4IDyQFiy8qBLpkoZNIxcbPqpbwBJ8f4gonal3RmluYk/yQzdACbPWxsAWi3D8iUgbEyEN/UOv5FNtlFR4WGp9Nr2vojFzf9uo9YWDXZ+U5Bz4dure7rGUbiF0D6IKBaEqZSxkydiJuf75oTn16h1i5DpqJxuZT0FnTeVbjUlSxERqBxdSeGwQzNvOqq3/FFJcMNCVc89hvRYLaKUvvDhHwX9CJ9U6tSfVJMEKaFzMpN9lmskdN16zt8kRN5izNzo51b5TO/T5tVM6opz6JdTH7fMojccodfO1ze87gfQR4hGefwRetJjTpCVeOW8DzFK4T+dFzTM+agyWcz6CnezchWPUQOAO3BcxykhDweM3EObs7rAriGD7o0CyqjXyOmV+VVz7f+aZjM1VbHwE3dsHOXbEswA9Skk8Ri/uElDHRvIVgXecDJgnJ5sI+mKkrV8zxIX7mM+aiI8Q+lwL+LYFTAFZtcdQtgYOpPQivXJRnM0+D89XM9Yfl+bCGuImAv8bhwIKUob1/B3HHECdlI8DNYMi6KHNLwHcW+Br2cy7iotHAH7IjaOiaEtByBHBz3jmJ7XFx3l97wut5E5/ieq+vXeTwGfZBn5dYymppOjG39Y1a6+hDrPGB8axMG/C2t0FbjFHbhTiCE+oyFs3JUmtKVoOzF7WVrG3xuDLKGnSIDzg9veI8afKVaPoVJ9P73KY9ruMB7IKsucdD4DSYlYBoat6sTHj12VqrvkSGty0cBzQQ01HjbEgFvByUIsS9QzZnG4hNPsTsUww+DbZ6nYdNiO4bGWAY2hwMNnsYrWegfS9dPjzVY/WQ63IetJgC/iW4xWUaeVZKmK7mPIiDIEZ7kZq7BDwjiY6OcXPwVE8BsBOH0ocRsdm1VqRbOw+73HXClVYmyLCkmAkjc/tV5pQm0lEkZqDldbb2h1wrpKpJLofYAC1oHyhg/r0foYo0+h1q2D4FZprPS0xq78TkVtWrIeFcNewBbBp8NprqcdOzHI6hOFrCDw6ed5WvjYyUyJPv+qAcxaNa47ye+0as5/EaNFxosB7p+KmgXZW0Wx3iHPgaasVM9tgun/yKJUjia63jPrXzbaKXGqtrjVeyDPXcQ8Awc7cPfSevafVZL1qE1gTiAEGdAFvMZqz168kJYiIlM3aXE48km0lQACFgRt4AZ0WM6lz1XQU/ueYBDqA7WOHqNXemut92fjzgQO1n7hOxT12BaRtbYsACbFBLHKyvaW7lNnjWDDmJG5ipzHTgd09CxkbMD14s6QlivZXOS03Y5YYa+TW/4cP4x4kZGMBx/MIRvZCeXVSXdWWrJfDjWJZznzgRd/Ik0fJdaCOD11YN+lB1ZHzut6ztj7FaY2OzRTZ34kLmgtvdOnWzwbdf5ysb0C8bpiGId1MHzcoF4MQ8YAhTQ0Zhm+NAO4SMohWtD0seTQHDSgvi+CPi9lHYnoOpZxatEwMvwHiGj7Rx7mIjG7h7OKTAhYQhrtrBzFsE78MYsnLwTa9f062J9XyMtMPUH4I+Jmq9G6vjxuFp+xnirnVau4eebPYWa9h2fTcJICbfx6BJ12z6hGf1kc8BP9yRFVdqH6H4uo7jxFUf+zYYlsZBy7gnskE6uJmovoyrlZ6HEHc3uauPqNJDrKyyRq8SdyLDOVZ7utKE5bRgXgwajBDdI4HulRnzzSzy5Dqyz2vAmFc+74rEDw/3zJjURQWYY+JjpvqINsA7DWsRGIBBhrOOydRJHRmwZm+i1le9KUJelXep82Awe2/6dLItbJ3TwfFSo99QBpy49uyMPVzXBfS5U07DOVJ9qJLEZf1Kyyxf6xfAATegdUHrozF3F0MqxbC+2wOH03bA4Z/8SNhLHeKI25eU4Y613okofu9afmawgbSq/oHusuh1/+VToE2EqpFOWrairrNmajeFKj4JenBD+flEok5NHD+GkT8K1X4gmhNSYwH8VbaYl1hEzE4Mhrlb7nE0tTMnf1xpYprfHXjoesuwGV3nv6pkczvKo+k0aKdBQtjRN2WEmWcwbqme3Trlwkgbekybhz6pIR4z6aSMOQL0PIwjXtuT0VJ70IBLzcgMl7zGY9EwDtyREMLGRXTt57AHjJsS4B9rbGxNBlyFgdSJh2wIDespMOU4MRBKtR40oNOh80GHe0PA0s/5MD3TedmBrpumTWaCDl2reftU81DGMFOpYqGeyUxc47LiyqXqIwfc2E8bBnr14MP19LFhrZl7AHzs6xQ0B1MYRB4u8+Lgg/cJwzuwhTJ0TzrTOx+4nwbxyoxBpwNu1L5pqz65uCDTV9xQvpPK7cCbXKgaQ0rwfRYtdiv9wVI9+tS6zpBvd1Ritf5vnTUTqXQ7tSHCqLmyGR5x24JnK1gaTiLg18eUPIAPgX2qPeqr8jqXvSjuJjFwBgP84z6VaMkg7kGcHZIq2BHDgdjnkZUBHEazIIYIYI1dmNa6kc6yE+e9IwytB2ZbZtEl//jEK69GYIMQcxiKVD4SXdfeLjK4Z9ZM5umlx+SDgYzbPq6YBZ95CirpElkSQQA32oUVR1KCH6ve6FHIcpQ2eplIhDNbH0R96kXzsMOGrvaTIdlMrQGU54xmVzuMxHlyBNw5AN70gV4GYngYRDtt/MZp1zPUAbc3c9o1WeOF64jFAZHkMtfeshbiywDYtlJ7wS91pHEHH5Hmn8LKazIby3Qux/4cXzl2EHKIpZq8xwPE+oaeCHUkqfda6G53OPo8ENPfAWYNmV0eQZ8cUu0wXxOnzXSxL8JJTeeCFDNvFurejICmyqmO8OD4wJNCwLlhzU/XOV+USNqvWX1enSeAfpNNNhPAKfClzlRUgOUEsHTmW2mbndDMWeaG0yTMmYG2LZmB9Bx0KOi2ba47qobkSThT4B5dKLjaKSQ+gt1f57+OWZQpXXj2HXjNcRwPchOHt6rOVBe2OIA3n1mr+r7i0je7JZEMBVTtRz06QvR+ZPMONA0D7IoNLDMrNQUBPaVnrKsxnzwx+N51bnSl+nzNnZYNuU/0XGa2YGL+ecjPkyAYSrA7tf/YNKRqFbTtAS54hAKXjI3tMYSxJSZerWfTnqr8kcpfG1aXUQhFEmxbBkbR4ms/84DpOcTqg+Vz8RibiMcRaK1Knv3BH1INTZfm9LTS9iPgNUFgTA60mYC9OTKj1rqwpcbMnPlMJoABaiehIZDBLm16njloCVdXM2N0zW9Yuc401qI+ZiwCXkaEBsGIyD3ot3VReSO4zxHg4DhUPQAJtQCZNzHJTjm3d8CoRj5jiLp5F2jbURbhfT5IK9QwXWnxkM9FkPPuqitLRvtxEk4MNd/qX/ZqBn1ABU8q1VNItkmUbwpXrGKI9Zh1ag2rSakUYO92UHcmr50OsMMr5tNFPjCSGkysgVtmbTdGtkyQ9urLR8bLYe14mLg66LKHHmwJbM4+wr3KlaErznIPMf8+Cw+IcQcU46SB+5d+w+w4PHDh9hA3DyyoxSOvpk+h3S3RXJ4Q7+8Dfdqn+vTKRQPM5JSS+FwQz2aR6NW8G9j8EJjOMjY/HxN7BPoNYqKGLYgf65VuD4XjjX0enC78jKEj2NSG1aBhdfFI554Vnw9P8KxK7jCRmJ+vfSoSvwEt13Rqf+KxmMdqL3oOOuCktGHcUjUn+5S5am/0iUAMG/g8IYAFK3i2lVKMwMEN1oCuGjIr5izgas3H+VCTQTZx5a0S+3Dt63jEtewSQ3S+0ZVo7k0JBZ3Qqjmm3FkOJXAV0EQG9qmmPyKIc6GqYzBGYLuTOKypwR3fIJqqy7VOeYMRnvsmqmrA1eCkakHW5Loma7+jbq0Vc9SEtqX2JDuquS/B/QFi/33SMIPPhUVtegRMnYfss5a2U9WBq1T9YeKILX3Qg4BJduqybSyzcwFx2tfqATVIyx0BuvA1f9gx+Vnt13qPZrm3jqSJjIeTv4F42WIbeKMeDvIJSOzg073l2+zsc+8JsQys62EnLnvOHqq82RuBYekJ79e+Ls9rVnrU+axxvuiRrV97pllrKudrV9igFxouvXvQ+QRR3BHTA/xEDdncDtREDdb6J9WXjrmgBrUM9LI3JFRpA7QQZjYCbskh3pWXPZobhEDv6aQtQ7Xf8RWjIEbrxD2U2CiP8eYw4hKwYHD6vBY8jLxDHkmIsdag9nvOGsbiyLsDrFM2Bhpalrndb3G7NZLWVvuMGsn5docotfxZvhZmuWBueeWHWO15kcqF6k3D/fPkLKim8RmrEgNwwRRg//SI7L7PKYJ48GAyE2mJ7LrUzQE3Fyb4nySudQfxWzJzWodRWfLGUXp2kc2yEWvEFXtj31B8ha0ZWfTLQV78M2n6hs4hFpvOGDg+yohoYsO2UmeqVkusAAsQMySjVdwn8+kOSJOealJL7iYGpRDRmfR9etj6bmfgKrhyGxLqGHT4rar9PYFeif1m4qq9PcjcWaWNpVMnrxjE58s6dtfxY83bEcD5gjm1r+cRcsBXQP9nLiP5DPCiwpGoxSKrMiObTSXg7HWeqMOR5+eqR1Nrn1lTylB64CNssSb2KGtzFg5M1QOdWAUYKYXqISYvu6NT7xhobI+c7CgGKeJaqrk0GRNvmlBxAsxasfPk0tvsC7cBZjl4PeDoStV3+hGWcVS2zPx8SnUnRLIcixaP0rtDlTLPZzp6DLRYC2ceqKXDnA7TKqzUfJjcCi0PGffm6p7p3SFINIgKLE+u4wW6Zgs82uf1AbitVHuYGsDFj6juaTETPNXzFrhTjSKh04ppue0c883kpLDBZ8JPXbrLeaBlFPBfemA3yM1M3FGgWJmN7uN6cq3f8NfAJ3JaLqip+lsgYJSsigcxJzQDzthHcQvcpcLjgpQjZjib9Xw6cMpO3Cl9H2jM2mZN5upEtPkmZWJENDoSNthr0z/69PZE2GvvvjvQWCzTsQMaeItYLvOZZ6RRfKRRBzKtfMJ2fl4Tz010xyCqz1HrrXglGwLceO1Il9ndPTO9A9EODZuraDVhYJuSgP4gc28UapNrbeohpdY8dNheSBavmTfLTTxOo4W2jrxEXcPaiU147gs8wP2ofYSJp+Zvxhkv56GJOQU97dsTWxhq/Yx/Vnt1kwHVWQh6Xe3hIb1rnm23ViqiYnUSoTpx0Y7wPWgvZBIKntz4huIxAbWmnHqqcYfan2hcAB4nDcRNszvE5nZgoBOZZg0rbTJ+zsvsTTb7bAFmAedGV5w3iSmHFO6Zu7m1MvAmaSHmDmxEzM9qb+shox0L1VwJPfSs1pepraOwydvQBhpQAe9yhYy1/cAiiD2tbwFPKFOnvM+A+wYNOmd2dt0TeUhmDIMfatx1tCDCmk98LaVqD0rvkQJGJeHtCfgVaHKINC0++WpvJ5KzQLNIVqkeHNNDNmAd/H+emrIJKnaXA55CbD2mNvNSVl7rzCN4hiZ3ae9T607Ne4uhLJFen4p5yRlcB6MjC7jtfGngVVGJKqvQPDfkU+5mZ7DVHdjnaTkIA+LbOgd94XO0onavxSzfZ6CvEYzENS4DB42LqN4Bx/aXl9grz6DzltR80NDmcKabW3j2CPTxBLCi9BC97YsZq5fD9MBluaSXGo3yDrjfGng/B7t7TIf8VFRUQxJZ4ktfLIhP+2O4OTytjAOhTTcmqlcB3xpBvR2lrr1D9r5f88wi8xhigJivGbZDQ2cJPfji7lDGdDRCddfSGfiLs7DSu8kJa4c4bvppTB0O4/K6b3sMGINrDHorV335TUyznkd5yWZU1bU+sYj2QSsgHtIhtLc74Lhj4JoIOfisasxoJZ7Waq9RO9fXc+8MtEwXrreHOK6rZwZYds1VSr8q+1Rmu3RWmqC318x56GkrV7RVNUx5ixxkFMQBLGVz1Zc746AnazFbR3kIOIGycAJ8H/SirXr06zF2D2eu5tQIOq0jxwD9dO2dvqcR67ir9mPLTsBVS0A9M7U1Q3H6nN+e8rYjJMIYWEDP57jPiKOezyGdBTqv8jiLGEpdiANOrq0GR8VMxszYSI3tLnQtVRdxncteIWIPuSt6sME9mtV6wctlBvy+qJzLXm8w3o9s8LZFFBgsCjQ0w2e1bxvonseMTh6JPl1htVuuUXpEQhzS2KYAf0H00CR0ZGRNeZ1fjnHDdDx4OHRRyZr8CXQhg/tfEzbVsI3V/u0Y291qpfYrrlSvaoSA+4zDegK4GJjUXvRkJpBaC5rbbMbdegd8aodcaTCZn8MmvurlIYSYj9ySr1k+EoaOBOjz0Jg8cVL6xVxi31Fz3Ejy2YOWN94+IdhX/WIgps1x3Ytkls9AV9Iiejji1gmp1h3BNkZBhWhieqR4fYZ7A7jFfd4IPWfMSVxP5m6HsavfU9ApmDPEXP/knw+lb2xPMdUXWJ/uiHEolSaihn0kNkowx1WqlU+Msa5wO5fb6ClhuZ/WOVs7iyvfqDInp2vuBaHeUWofEvW8AG+W4Pcc+NUoV/vzuWVTEDkK9JIsB8BMt7snmmfE2oShRmcXPJ3jDcRoiFelS2XOCprHKWfLtYuvz3CPVf8xajXcEaMiYlposjM9X+o3RFY/aEUkRoJN4c9DvzTiXd7G5kvN5ghpk5dc5cOIux3jm9sjt/MeS8fOTckIdUD8Ote+PZIAXgM3r7PIi4gZmKKOLbCxFjVWDRilEQftQKdEqSOfgtpBAVORpld7GNoJgWhHrROy2YBth2RgjQFxGOCjKyoBOnByoty7YpTM7UnIWtDxTPWP1amvQaw0eqJqC3C936HmdA6UsjW2Oq4Ey4B5rKNpn9mayusek7o85HM1rxLv0gGPE/DLNcWMEIzSxgHtQa9r28+gaTfCZQHW8MY3VZ/UwFie92qPpmhliCBT9R1kGheuviKSnbJaJAE9bNLI1+F+uyyyB4gto7i2DoV09tTEMalB0/LJU175ZiKz65p9A7T+E/jv46V22SjDzEU2YOxyPfOPMK7lcnD81FD9mWwrbpyIuD3CwElIc3CDlu78+TQJa6tErQdavhQBlwOyyxi5gRU2zjaXzrXO3PU1r46jrgOOBJiJ79Oo9FU3ReDdR8ICQxiWE4CWo3UfC6M0MGhONTcGeOCCnkxQBecyH0wfOER2d+hzvVwBT9UB64y0YYDn1/69e0OovCitIdqxJhhyjTqAAwYCTelsU02PUXXZ03y1Bo5dNPmBOmJQ3IDyiVsQZgk9G1JbrbtXHVpsM2kCM+diIOa0Ar6xxc7rHtb72AScq1gv7P4EVnX2qeqBgL1kJnYZDQZ/LgBfSy6MA167zips5SazS9CIcsnb2qK1o9bJNcxBvj+gEJvTNeKBiYapAYpjhOzbK9/YralaN1o6WDI/44JkYAl45ohUwy6Ri13ilorRb8GK5ygKRrF8ULXeDhkua4JGmenBWKE1cIwmv5t08eAkS717Ypt9r65R7at0zW9ArLKLZnsMALeQkUu1P1is5apOU+S073LT0zFwWl+77IF4XGrBEXhhDaT8nFa5ubb1WLhW7Wt7HThWnwHPoHJxUntaZy34q1Ne8zaPtKV9zMEXuFcXBLO4Wlh5gwb4bOg3qj/b9kScPCDss5GC7wjNuayJCKizZraYY9D/mQSNzQ8smZXLYu6o+vz7pAoMHD2cY027+vI5Ztii7qIP4d6BMWipg/aBmj+vbCOfLTRUlxJ4Yxg35VNGb49FA89Hy5/UuspcSo7n0/vcjU9c1kfUdEhwB+J+vgs0Z1FEvkUhzl/5IRvkKebeYWUsrOVZ2ZNaX9APSS0tMqj1WV7J5wGcIz+D7+6y5tZEwKMIaM+MTBPwtbMgOUIcx7wNTqBD7GSGYjTIg9+oPWrwlc8vfLMzheElcA/gq7eG0PRpVgPuu6hB4X5HnAx41H6n5tsJP43AZ/V0AJZaPxwZ1U4+7c4qJwE68C4H/CPt9hxHDz0bGA/t0yhprvd10EnjNcLVjbA++GqvKNCHO9VjSMy9LTVzBphjZrbwc907+7W3yGR2zpgoc4LtInL2MbXI2pYdaMRD0eZNTKZtcj7MeIQFB/3IZovrvPkpJ6iHOAPcaDQUtsVJNB0wX+gpcbZqbjg+73vW1OeQTziMVZXJcsCDiIN60oNmcECDNqHB1uC7cabXOuAC4LB1yHSBRVNWqPWvsXKJueNyhhuIlTUCjpy42QjP8yqVoK9dtkG1Z4OdlivVRa9he8rEHeihfcDYzHfzE6u3FnB/QwA/821rr+qHgwbXpGUu0Ua6b+jXWuL7fC4dVV9wmRcxGVsams4q7zHR8EjVuheKi/LJXWh2Y1HX56CRfuFiyoD3UYM9JTO1Bh1HGcRlBtdHq+nzvIPDIPaIMzLtay5FX7NSvsyztKhS63rFhtZoWdi9nnAE6EdH8P8GtFJDZwj4PHAz1S+SA2tSNd/ga8ADgENCGJ5PWahP/YA5d2jOeuIsDOLia51eLxwEeFoa/mYSgE5/8gcp40rlY3tN9RwAjFP7N3Kieug6ah9bGfmgc2JOj7mGA86d5dJwTL/x1sCJdUQCE3jlWs0lZI2jMfO1Fgv0BkRrDnG8KQ+8sZKi9U24x1NK870vp8AX1NouOUaRw0CPTGO131i4f84tm8LlFfPh+11qSAa8uV27Qu2lNCtAG5GKyXB2nYc9JFyC57TOPpWg423nUdhyutJKP5x7lHJQdVwHnurEPmMrP2JWNniAJ7WhuLbgJ53LhzNmIgHcjUPFmygCn6mPwI1bf3Nrsba8zuv1IrINVVeeuZMVaN2S6VMcUm8gwLyTFuJv3T8hh21Eg+akzUvgKguI3/vQlAfggytKQFtSXIH9jKnp4ULVpnFri8LDAvxmE9D8Ol48kWo+XmrhfNqIqB5Sysao6Z3MrU9qrS6qL/3mHiG+uuB7s9AowXeZlc+wh6L8iJnsEl10EKNJqEvgebnAfHIASwUNS8+8ysxrLTHw71FO81HqdJI1jq98CjvSAzvrFE9LzMsannFseoqfumquh0iwJ4lWCfApxq0lBy7DXODdrohAf6k1CXeUemb4HA+uua82aKeVHz2c4jrfpsCZVzp6omqtDuAwbUHrzYOBzelO9UFX+zIV9giiV235jfOYNsGZ2lLLZj7oPq/MZ2ItTNkDj62521trHveZ0V3XcnZ0vjCWxkjL7fIIXBt402fAUbxgqs8ULS81gaAbVa3+DnjBEeLaPqAL4A10SDe3J9wuTD7PGamkBjxrEVeq7y3jWaOv1o5wsIauGGWLxhmpHhBge1PVvFtoUtU6TSlB+5X5eST4JAGMpWDrQ6DhOpYlUnuuZDDm2HTuaMWY38pyDdhE1LqpVs1h4Qib1AAudQ5qdM19cb/RtMQWZ2xve2aDtqshRtaSZi1EBZodAQ+3dMa6ALRCofIVtqhYo5druh/FTDaFg9aq/w2fCX/tdGp8ZsFzjfVz7Gbode8qfnfgau9mn9UjQScQ/anq27gJqthSuWJUA57M8TJtektI8ZRHHc4N4Oltd8ib/D6giCDT78G+7/M61/gMPHz++aTmApAenNZUv+YBACsRX0d0UPsyAZ96Cu0JWZkOpZXEilvAeLGCXOq9Larm4HRkUNc/oiHTchP4bWufVJ/4xEH3Wd11qe2dE9otw0HtCXXahV9qeyJxdzusdFtP2m4BPHMqTKx6NosYtDg22CKX4hw6gZFwS83K7XKnHmW1XCVDrfIDZKWze6HWdDs5PAtZ0gZimikCPC/NrNF2cE3XuVGwNbWeTE9WGuidqNu+cKQp4MAU6V4JcqUBjaoBtt6r/AUyO8sfsEWaTqbVwlTzPWv7dAbMrrLWC1g7BUWFVQzo1fpuoXnXfaV9X2Km+EdK4x6RkvAG6fza+6GBiMRRjR37RBpHqtp8TjydupdYch+YpR4OmYkd9gT2vKAE/q+Xkd9MAjZ4hzW8n5joir0BYt4crHLK1fydDT4AOCx0Zww4vM0MxuOmAx0rRmoNa0AeBmqDpub7HrnOFO5tjGcP52KOR2t78sjoRM0zLYDROy92qOYarlwUsMLbqV5xqnY4473ax+keGBQJa3rMat1Cl57oSPcHtheR2q971OdkOvelOKUc8diYHCAudz7wLbVOMXfKPWiK2idM9ckyRPVFfy1NGIPK0/yZg/HlWjwRVmXJQcuFoPmIUVoXn2FbHbBrR+boZTzFo6rFzOHZQjTcFxU9sqrerXR5SnT2mJrl0XeB31WvtVjeStUMz7wT6DU/m30+ZaYEf2Z7wLs4aAF7anFkdV+DRgT+iIGr0B6Q2y/I1FBzeWoPMg4KLaCv/jtlc9B8L/6MKbrWVMQE/ArinIvuJqDvQOc7SM2zP+a65Ol8YalMY7w5AE/qYtKCM0DQiuEsSf2wo1E5Bs22J/V2VBBP9bknah/xGJAFdN4mmwOHi6bXfcATVWdfzAC/mpIQzTonVTl9c420cOTdy99RwJ3LfJbqqQ3PzQAOfYkD3J0Y4SwYss3tUTRBvwL+CnEGOFLvU/6qHY5ML8eqx39md2UOdxu3Qb/Up3fJnCkNvCs4DlB72WPSVNfJIucxi7I3zwxPMZmK62tiO/Oi8QfSxib8UT0WrjlYgwBPEjJvQHN3qicLV3sAO3LgM0Z8gzE+FwRs2wSehqiGAOc8Sbman1W98SzgiQtDsOk8ibrT+m4CdibU/lBWzB0zNpyYz8rX3hGv1wccIddebIzKO9AO99h2pnHlG6h1hpiWd4VkwMFEvKa3JgVbTgakx/RwAI10D/bXLY0+IGSq0eHzOXct0Hoqx/PK2Z6E66m+FDCakrE70OqqR7y7tWKZ77PGBpuvjSDKX68JfHmHv4xnEFLVO0WtEcRbiA9gqeIYq72RQOf7eqDyS6/rfGO20OOGdSG1bEr7ljglPDt8yIzJzocYr/I+Sk/GlTdm4SHICB7z6kEHDDggU62rt3d5lQe0wTjWXq/BBi5Agvd8Yxq6uXNZRz8X43iYrumlxkSicObUwFv7zM5DULanNWhH8K8BTH6fGrcn0GtHv2KPoabmecszaHi2jhYnJLt1zi3Vb0dDBJyWvPoX2C4O1NqYTPVWpm/sXe3/a7y+vkOOt1Q2zucLHbGugWNADJquuBQrJDGogINAXDN91ad7JjTaYg/Lbopr+TrXVrjwHDkyfFnWGSllXFtqPy+seq9moCdVbVRoliW5mzS+cdIFE+uksYGxOG/8cKJT+9UHWsxRDH5KwV40DDh7nXcoWrWHQNkCjzjmrcp/COnPppJDTMr4JPRbZ0U2EzVHffZnjBbAObPa7+MW90mEz6CNlD4CvPZ3wCEue6ap/jBkxjDnqgYSfW3zoCNVj4Xn1/o0Uf2PogBsyrKTeWauo1K7xDFZbpEDY2z3HTKdcdgcxmnkPRXNgYJ+XTOA4lyzwkCHGC67jgL+vsavJlPrEkVqaCM1BxQaPYWxPfsR+FSdj5L5tBbO2+eFVD2b9/K6JVz1K5zcBa1oilatZ/Z0ZOIydXxVr6/lTX3l2KoHxD5j6CmZOy7m5RS7FmBSbATDtOY82Pk6NpHN5ijy+kxX/b7gM61ax+N4EDPWBVwLl792LYJd8xti5ltFo/rG1yrWLoK2A06gaj+kxJray8c7YT0bci4H0KlC9YkCDYMQPdTY6ACurE3qMDPlWFI7t1XtiNqNVfVUWZ0PC5+97nkHOqUe8uh9/IGxHwUvdhZCTM/t3ODAa9YuuqwZFuHhkLoni13mo8SlR0s2y+U6nNDlgO7h86ucezwhjCXua094UdRWpPa1ENyrUVVGqlaHtSxIqkDPVD4H+Jfqrb0yTiov2jKwrfDN+CndSb9g2BCQTK3LOfvupb8bBr34mrchNa58DTQ+Z/eEjga62ZupMVkQQ7oFtwAnD9Ni7jSqrxsy41NuIiNXMVPpudpS82oQpA575uR7BBoaOAsKWxzQSixSDb/DqMsz0x608PUZ4oiqGunzQfi2BbFoMQItMajYCNzaTU0B58tGq8FZqr17gPXoIREyHRZmMpdqPcMuBc59WTOgSeDZ4nXvYN91AAduzSwqvUQHzJ15NZOoZKCR6fCav1N/3MQu7774I9iq2Q0rbWQGbTYCvwnEJe8F/NW1aGocFuHAnghwnitu+AOqczklweagpQa6j1k3YmpPDEYNNBOykF2fD1gQiDGF6/fEgbEg+aVuidbMy+v4yAx98IE/gLZ5yx9WuT6dKk3w5RmiKegCGmjIWhmTPVMddJmqY1V7siE91PAjcHIjqW09512ZDKA/TAdwXGzSCEE8x8tcxarW2aium0Wtq70QTur6QrWfCuuu+usJAVDHNNN918JvYuAdV3ULb7A1Nb3SV/Nx4IPJLD4qdU/q0lrPhU+Mkaq5XMZcD1O50NgwHeU8M4HHngoYv2vuC7T4o99YgOZycZm/v6zzyCPwlSZugEu2iz6L0Aab5TZzcfJm/FTP0hmlL88tym2Id0boWmMBuIgdx8xd4ID24boue63wNLOF4mB6on8+AldsWCuxH3lbwKCd33qMwjMH/a+jSmnj6T3YQZM7wopZcAIt8ggaLs5n3iPTlA8Eaq3V8S02XPO9Qa3PXt7zgspWPZKarHqwVucJaDrFA5nhz9nBn6GnogVMIkjmkbNY82zAxFE9XZpw8PaiqnXRAO8LJzqrkIZMOorrcuTrD9e5GzMFTg7HHReb2zNup2XMtaPvlAy/iYXImTr0VQOjQfVfIDy2UuA+av+K5Xmyyd2JCRpliszP+nomxFLVgNb4HJvyqr9KRq2nrEZuOkcnMmdjZnjM5946uNTo4V3CcA0xhpN5cF4ZYBMOXqdRV8WSWeJtbCbCykBFAN+7csAx8IAN6LDreC0FH2mgg4JsXlasFk9sRi1mBsflIM/iZR12eDd5yuaLncIM0Esli2wDEZYULpsDx98WlW/6LSiJVkBch3gWsRGvS+oTwQlB174HY6UTCc/f+CBW+X7z5bUJ42lRG1uZHgy+6bDCnVShbRFh30I8+nzppQl+ruFhccwaaVPFRxsdcNSTmfTG6eyaF91f+hpmqs7I1rlf4QrT8gm0FOgqUJLU+3INLJ/G2isu3IGUmIX6YkfnMgIsMTDYsFC1+eBjVJs8qjWj+Sy21ry81s4thOLxFHSqlkH813uq549r0HkqxgCPI29izFH1XEQDPRO74+GANsTJtQQiQNG8fS72iBj5a1wOvqyHBb7Wn9SehcClAHNEs1J7wLXeOm06S/UyzphniFbcx5c+WHYPmLjzOcQCqmvwHPYQn5dhY8XCzKe4cmrgm2fe6Ak2evX9eea+8sODcA8WabsmnOUm+eJ/4N21lhtec+VVbOas1XqvBLSRcPVH5X8qJ51HHlHrc7mLm6LCOppDnBu8gxjiXQLaKoYIfK11TCRqYtDfmfx8DJvtC39X9d9TgxpWszKdJ7B5td52x+s8VLyKv+NVjgR8ct7YklrLu1FreIoIaeG8u+pKhEK1tq30E0Ne1ums9PKQksuauCVgliXsXgc/LRnEw7DCXOjTzZrrj1kF/JEeTms6AvunvcqRiHqyoFf/ehmvkDxc+eH0xR8Bp7YjocthHQFXH7KjP8Pj1XmvrQzH53cTKyHYwEMwpG03Zs7iBM9tz1xsxVG2y117SOdOEpvTvahpT1p2D3FBxQHFia/+paeNNc7mzuWZMRsHK7Oz14ABftQJv2Uof4sN+nSUEvsUsBf85OKO3N2eYwLXVgHHnksdYi3oV8eg1ZTj+rm29sqjQKveZ1VmFQzdJUa/JjMPg34+p65kMdX1nEIManw1F1YS4KKp3RlxFVuoYU9ZA7qy0XSxmcxzdwG+vjColPM3z9Ak7uRa0z59uW4714SfRPQM/FjlXcrMVXvuTJ/W3JHUAW5jT2gafTZ9s3sCjX0G+wnEbCoInawSt6v8SPUAtTgiYrnUpeXXwEV1ryvC11jZh242ylq1XiQAffjZEPakTGm3BZ3pZ9E7/mAX3CGhpvtX/VrwzCBg+6qGU7ByQC4K/CEAX94CJnpqnw5/abLXNQgrQwYYuC+uJMoiLyiickH1+Lzme524o3PB1XqMaeTPF0PaeGdBqQW4HKu63BhiNtqA9ge2T+4OeuaURtFOT1lDVd3YLh8cPavw15oo8qb+c75W5QFmaX24Q3JKV0M+A51nBYbQeWM1ieEteS380O22oCsM4Ow2nck7Va+7vrs9IVqu8+ZkcnhGvAp6ZYvXOtiASZO00z3TdC3ltcpbDAVBTqxjhujleXY0YnvfZWfiLCzK3thlk5mxkX95xrZQ8f9e0K3SHgMDzEu/nMvKTGe1MllH7ya7xFX234UX7jcw1QMJOLwV5JUQeV2uM67XBcnv46hbpM5nC7doqtY8ARbwnGSWwnrQM0F84WrOgTSdANy5zusZwAkh3qIQzuVQA3in8eW5Ytvxii+2sUhq4P9cJIAPj5RPZGZglZve4Kas+EzWHBTJ0rB2BevuYzXPpWcn4FHXuZsml8hXPZToLA8z6YzYHBil3h0yTd8n5mJAwJFD4GUZCUZ5nd/nEpegNnTMFUeEKN2iAK5zRInKbXsaYFyXRPUIcOCYau/zG8+5GGf1hcsgSbiuejCrXI7+3BtYjGl9Oq5MCTaMzoBZh1D1dVX7toHOBZ4z+M1lrw0jrzOwbXsHV2HwJjCBnF/ro9R87zxRvbYauRLmZzMzHnqfjyxh5HA+1We3DPPKBv1hGRQ0OCP5GWnWQfV1TNn2JBjeIXqr48EZvYlJsyDCBNP3mogAF7v0TY1wE9fy0rcF7PdpPWPjtRubQvVhBehmenZemZ8H4vaqr0QMOssnTndWOt83nIE7D2rNhV/MHoxU9RvTmQYxNoEIf819+Rno+KKRPZ/7fcamT4GqVQMcgng4gF6vqG1FcYO7XHciZVdI9c+e4UTthZbNHAY+gN7mxoKqPL+ZT7GZdrjyw4jLxSmmwOE5i/DMN0H7DqTyxpxPArVPSDb7rNZKe6nEp0I6OncAI6nlhvbDTs2h+AY9CZdpwCvr9Qz3QaX2t/d6pLF1OJOShYdrbWrP245gPR4hiAtYQ1NqeE8E9MVqwF4QsZjN5ZNqSKz6slFzytaRY3HJ9KRV6wC/XH9A83MKGCquWG5kOzRDTU6vOdi9ltWq7suKgiYXoa32h4sHtY4n1so1s5GZav0BYnftg16AZ7Zgs3rH7cPz2tpmr4ezRU+qHK4HnVY6E7jBTsFkp/ZYy2uheldc/WvgvOwwYw1t5DKce/OgOTz6EvdJ7fQFE3Hu1iZjSCdzxWu9cwy4qmpjIO6qPUsaGH+wpVuTmIvjahBnNHvoc+DSX+uUfR9yhF7ecwINzwEXD6EEu5ddxJrTaKkBEgEe5W7nYi53zKhBUd4eVf9Lwi26NB0bz7cmVTqp8i3hdCrH/qRypHRuG4L3r+s4/M3ByF3NFHPnrHol+u3imLsPPTWx49O+ZJvJKast4J7OIR3Yhjl5kxn9Sa31Bw3L1fiyNjdBr7q+BlrE7nnmZsOa2rusVfHw4dobc0fc8tJ3mFDrlFf1kJneqoiYEcouCFuh1n8v3j4PbEwev9g3DhOIBvCs3bBdnFKp6mvAh8KD6s1wAm6lcqHX+qgegTrBBnC/aloz0+OgzSzAz0g4U7XGc8d46WCzq3PirBQPRrr3WMwz0ycyAPw9sEjC+Hh7XvfEnwcGcMmjb3cl4InOwKF4O732PQiZ4x/h/jlc2xlF4EmtWKp+KMQ4hEVdrogmBXEdmg31Ue2hms7yRI3LapBB0j5ooFvq0MXRJYfnynvVi3KlMS2scsXD5rnmfIzLM58yfH021JYI1ZNx7loQH+OjbwaDmHtSrWP0h9xG2mScmZ9Pqg9ZxrLBH3zVy+B57lrHqj+FAIQCDji5B335uk+W2lchbmUYtjKiEr3UlVCI/I7Ebg737MyTuReCTjqhwbZWBjuHgzxkag9hHXRo0+9BH4G2Phkh844+7xgDaZ8RsVoZdBdGwfVc66LNRit9aqUMJzmvR9wtq0uvzIbpRLPWKx3xrEJWOlN57jd6jE8c1Ggnyl64FmOu7+o737DkepaPwdckAtuAZ3zVKXNhl2B3qAeNI+O6PpNGiktvMNCpuVOel+ZC5bK1S38LmZkrE1vcEbJwcqdoS4lbuaQ1W11e01vQw7na//me0BIJtjCQ6V1r5yT4Xsn0XPcj5if89pIjj4kXJrrnqL49fO5tE8drfHsP55GrlTZZ4PnDKKWvOveFy+oMMPGa55nyOtYAo4LMDq5rK2qkbJuJcU5V72PfTO7UGtn6nM0v65Ev/UQBcwbgwxc+DRpY8WKRtKqPhaVfuPa8e+Zc0bSnxkEjqpch71lqTndr93Adr8N6hlbreTdC3OpEAzx9ztZqz8SYqP4x9jmfQ4zSEPgOOofA6YAHbUQj3uVlUHN4Y8POCCLyHkeiy9upvtRf+zpKXgGehIdNChxmqWPQcyy8zJU1AhAIXFJ7ULU61toFrQtjBjrsKQGBmfJ9j4E3qv6fgjtDHN5q1Nanz/Obt6oWmaPZdJ5DPLv6cjYrjbfajLoT83Vec57PBIsBZ/pKzB+OYIsg8uNj0ngrMgTHQpaPbIaDt/f4rT9fcew/8c8/5/rnXP+c659z/ahzgaZ6XIEuLigqfccjqYnX2bM+n7FqGrLm4cTr3PWdjmZuV6VMXPsR1cCspqAhpwXVIW7k93SYqv2dcK7y+ma+xu5kTFo5QCy04TUKtcUopM5zDQXva8yEEHYeJi5wZiI2bJC7mOUJgvgZRjlKanatgUHYhdjGu4RR3eZEIOzYBom6XVbrdqBe2+gunLMgvWI/713mHkgOOj/QfOBGo2ZhluV6OB0zU7T3D/8yZ5d/p7vtITlsti28mmjw+l+G8S9DOxa7Q9GrTxiG/vxWl+yK9vDmLdP+l3nX9G6xbYrD7gwfuX5hbH6ybp+/dX5+a2yZz69Pm/xQPr830T8Zz2+WxeahfDm0Ofk0fvlssn9+6+H1DPCu83xe+EvT3xVSXi/j8ndD2+TP3/nsLj4vVvOcZg9tW944Zf3w+d/6y/mOiXwqnj/3/Mb+cJYvb+y2T21eqKPo8DRO5eZQhF2Sqd+edkkH75WHRr78+pdte7jbyu3u8l3z+Ue9v5Hyzfu/WOofeD+Rmwf1pGXxC9zuVD3lTZbIzy9vH7bd+xH592VI9ofdti7eHG98+fmDBssYfRqNb0Y3mmZZN+NbbfJu4EYT49PEvL0dj7UbfWTcjr8aRmvySbNGI/V7+Pj41vx6TI3JJ8u40W9vrD9rYM2/28Dq2g8Y2fGnyeTWvLEsfXQ7HpnvXXKkaZ8mt8bN+ObWUkM7+WuO7OjvNrLjP39gYeQ0zdAsbazfwPga43cDa2gw7qPxZAzuehnZm7/myFp/t5H9AWBsjj8ZMKRjQwfX1G9G1ruR1UejT5Z+q1mm9VcG4/E/A/txYA1d/2SO9duJdgvjdzO6BqwrFn8a3YxgwF881tT/mgN789sDW7T5591ue4JX7bYt3g/kvkzyy6+0r0dV024cx/nWODjOyzg8/4a/PBR1wDzZl69W9HwtRf5Q/Ne4qkNEfDcw/4Yx+XT7DQDVvn7+1/e+9dxfznm/3cClfDnhjfVpYkzgHOZEu4ExvnlvFZb26Qbs4Qrlxvvj77dPu6x4OeSXof29ZzFvzU/GeDyynlHF1MbvT3NIdg/F4avTXCzo9Rn+D0Z1+49R/bFGZVmfxrf65Aag4mZiWeMP7ACQxLBAkd28g5rfbVS/fhYdxN3NWLeukcoyfqxRTX6XUWUy2e832e+xK/XzTeuBwzob+XqQj3Y3mql/1Of6zSG6fgf+HqszfbJeXs36lxNfXpxfXnyvMcJ9XobxV56QoX3bar/THHeFhOh5fH8d32+jE+09BI21/9IKJ9onUKxfft7zpZGufZfZgR0k5zcf69QH9r/iYhP9m9f/xYqfj/iH2rShfWXT+3Lzi7osWbQPMGrwCfW2lhy3cCRDa+BuN+2/jLFUNCjdwd8eDhczmiozetheWE25ycAlriOvzuLAf+FM46RRRKlN992r7b3xHyBDhw8e887YX5D6LUl7eevKzzKw2mL3DYbWbPJcneabxPALdfw1x/wDONu/DeuT9Z6nmaPJK5i/8RT9W65i/Apy/0807HonPwjcvgVe34C9b8KZ8ePwzPiZeGZ+yJpZ1s1/B2iG/uFA4w8H+pMD59WU3tgWKRU6XKEGTr6/vEx23QUsPoLL5hd1DvXRjfpgJrd79f3D9hVyvv7OU3f9xOFysibpN81TA3+ril396T9Bz++TjX8oNIw+3eiTtz/vR+1mAr//PpiwfsXY/jeY+I6c6F8EJn4cSox+JkoYIMTMD2z8RvsE+u7Lzwfx9d24oalDa68/H/ILl9PcvPn1jwWVr3O4z6ByISpJm70FmAtqpMle8QGpxgb+nz3Bcy8Upfllt1Ww0G6bTZvIF4D4BpnZd0WR/xWBw9Q/Wcab8b75OFA/HTb+Sct+reFv9U+35n/M3v17AqxwYukvEym31l8z4W58R172hweE7wX3n4XZz9OjX/z1QyZn8l8KV0PXfv1AfzYkf53KJeUFei//abfqWhNFyC7X8RZbP5K3/eYZwL9wPnDLK5N7kXggUTdt8VfEY6XxfgWP/60b+qfR1/78gzH56xzpcwDNN7siu+AgPPVfPkTUy1jkBTx/CJaX6JmeXwem2+43b7+4TfeHBMYXvnOnbrUs4HO7/zSsF2yGd9QHdpcH8HKYv8mo6+Z7/v4hIz762eP9Y9OX/wt1v/lx3P32Z8YB8wNgm+Y7Qq2N/ss4MPr1w/5Y9W9+nWL0CzijuoLLty8kff+fHPovkAoMN4P6vT76Y4BiBEL+fUr536+567focAt4YnyD0v1ZKUDz96UA/6dJs/84NfYVeNxdfv6ISbPR+AdPmgFxfzc/b7w79435X9K8Xz/s8y29Vf8/1tu/zvX96UZk/D2tw4BANzJvbvUxjObodvIHWcevHvZnW8fvSx/+H7aOMUiEyc1XKbz/1Tp+/bA/2zr+yRJ9bXi37yup388R/z0Kqc2/Xe3eDyikHt2+L6QevR/Yv0UdtfkdtXt/rYH98+uoYUT+P6ijNr+jgO6vNbI/AIon/x/UUZvfkQX6vzawHwXVhxj7tyijHn2dZflqXP+y8zDfkagb/dQJm7FpffqgpMAEP43eZtU+rC/8br02fh/5jY8V2X8y6R59nfVxLin45kkeNp385pT6ZU7nS+Z+nzQfJg5Uuv+Q1MXrR6S6i/0lpf+XzN6bI2DSb5XPh+y9CTDwnTV6f1oG/5rp+Qe737jP6P0s+odk2N9jEn30dVrkd/tgvvnll+Ly1H7dEfeXErjLvFq6PZR/VVd8737XJ//W9cxvjNSf53rfsWL0LzJ59sPmzp6t9meF5JGlXPvLz+j9HPvzctY3P//lkhQLwvzNzX8KCypP8EOD9XdkyH5f/vTt3Nb3rUcZfT1HBuFiDUixOajH8jZ38vHdTMIVJenlUtVriBvbXWE/W+PlA9tGuc3sm67wmuD9XiP+WbZp3YDx3Wq3EDEMzbz5sIwJpP8nxRz+V8u8ea9T/m2Y35eu/b0LU+Bu3l+/Zv36hX1YiGO9pIm+9/Ojm8lvfP7DisbRbx3/49rE37j+m/efN25/43o+ft4a/ernx9oHqHpZ+PPdnzd+43qMDz0ZfuPxfPj4taHJf77dDxxLv3n3hT9nodLoe+oMpdx0++K3yUuy74AfwYtfNr1Cse9Gwoddkm+KL7/7UHDwq7z4I/Z9INnj8dT49qpSTRvdTSZ/EF2+HX8Uspb57WK0b8Djx5Vvfxy9+p5F4P+M7m+P7ujj6I5uRj9/dL9nNfY/o/ubozvRvxrd0V/Ad/+KdYX/+oszxNHkI6f6b8s9PpBLyzJeV4n9IFFifZ16vt9kagHN8xK8d0v9rmRTFQPvvmQlrs75r3clv9cvZWXSPhT7v2SuYvzpA3+ybr9Ry/dD84TW1yndX/PIv10h363+g4txJsafUsj364f9ycU41+Yaf7tSrR9uHbc3f0oh368f9mdbx9+1kO/HY8fNn1LI9+uH/dnW8U8h39eGZ/79C/msfwr5vjWwf/9CPuufQr5vRIr3hXwf1tT/Per4rH/q+L4e2NH7Or6/Yxmf9U8Z31fj+lFO/R3L+MZf51L+z4/r7eT/gxKf8dc5GbLbNN/IjH07xfX/3zLYW/N9CvSvsQh2/PuE7f+NVfLjn9rh6qOhjG7+W81sfuDmNz92Jfy10veNbYVwyktXFFXdt2kfni9GDcmlMcbl73BJh+dfpcklrf6mqd3HphgaLprt8SWvvi/ewMrzt65dPN905tCSw78+FPJeIOkvmG0fW++5mup99q3pLyB4N7df2+PN+LX15h+PG7+vMuv/RIHgz4WNGyAGt+aXAkDjg+ncfhqDZv8fi7Am+u2Hw37o2fFnQ8rXGZn7V4cvL56dK79/7r1UJhdoUC2YLvX4aqB/+UVNp79rxAMAsnvTmuMyYpeX6aXQuJDF4S/ZB+9G0z4Z74d5/A1KYX4bHazxf7aw/w0aft8OB/9HKMX4p1IK6z2luP1vGcXoQz3w7Q9mFD9wn4OfMdOr6+aP3ujAGP0pc72/cdyfPGEz/n01PH+d6byfYCBqe4A387J/0Gzvrx/2J5vHzXdkpf4xjxc/n/wp872/cdyfbSDGbxvI/2Pv29rT1pm2f81zuHJJ3gA+LGAbHCxi2ZKxzozFF+MdDhA2/vXfOA1pQtom7WrSrL5d7/W8KYFgW3PPzH2PRtL/tbIlxvrTGd8nBvtvTPh2X1EN+1h2fY8jMLH+35/x7T6vRX1wy77DEZhY/QOmfLt/m2++YtnO0znfs4PF/hNzvt3/XPfNuxw0/T1Z9d+Y9O3+57pv3sOw+Oms71O6+9+Y9O2+ojyT3K53D3Z9q7XbT94ZDL6xqvvLKYM/Vuy7387/2+OAP6/A/V3VPqycZXL80wdUYkO/UM9owdmU0q86DlDpPlUMGH9/2S9Wzo4BMpQXPo+eXuB+LuFNl/F2X1Fo+rAecb4KcA5v379s7+be8Iv1smzPR2jDcztt+2Pe9Pt8RH9actK1nzw1Ciud3tn+5m92ZKZyvvoNf3+t+7M/0J6u7X8b0PdeUT77I0F/mmT6Mucc/e/LlNO/m2P6fY7SMk79WzvCAN+4UNQv7/Z+2omeMh79hJlf7kJ3BPrptXq9U6PEt+9PP1v1qD/xvDdypFcsbPywjvR6PvXi5Ck+ge4VzMv4rc6Cz9zjjGn/yOzZk+/5B2tnX/Wr/AGfHff8D0Yv3Bo++4POSzzt2bMo73DSc0/5D/vOn8282k0ctGcp42G3KEgoZ7M5P+A2kHr1ro4UpHQU9eyIwTZXweV6mqaAn+r6v/WoXz2r1HvF7MOHhex/AXZnYehEOf59dFbOBfbvx9Lz+Q57US3W8fauSTZuT6k/g9Yf23mP8Vn708dove89n7gw4yT931c2D4FHhf+frKpqkWy/nELYNjYOitU2XS3lP8XybtfTuwDxAZsVMdKfbR3yj4IulMd7Sp92fntslq9t7vOWnc29V0w7QGyt23/+v2JxuI/A/ZdaGj96gDzfmFs7L/S9+swd/PSLHuYV36k5o/eK6YU/0YBq9zzK4Z9McJry0je9tQlfMZHwJ5qw+yxA/qwJu92XvumtTfiKyvefaEKMOufk8GdtiOG/32tE4xWV3F/VCPnoHcu6n1h9sRM7Xm/PLv5afLym7KR+YxrvYVO7i17v+ZbbD8bqoYvOm/Vdni0SPG3y+zONli9801tj7B13b/sJjP18vHklSrBxgTvfpcBvgxhNAxKNn60X+9f4OW1P/W74UV7GzzVozPp/3xIx97rqvsD2vwfF9wPipqtdqKhtkIRx7OnaWVuO0um2O6B3De1zL53yzMQdfKH3dLXTwV2sauopzD/Rob3ehQGXUE6Nlt8GwL/SP8YrqlD/fjy/Y8pvjrKqXBgId7vI6PQUHZ9mRx4No9K76PRU3Wi3oUfGV4/MeLdhfEXD6fuFNfV1kew7gPimVf4BhX5xtxGrbnTh3x3lKfj/0bFygXrfQ/8vCnBg+67SBct3UEfDxs9OvnwDRA9tKb0LjHpd7fesPDB++YkY/1VYaTp6W1idgvf3A8YvQlXXuFA6Osb3yyP0d86hr6h5vXPMf3C37lfd7Tx34q6KEe6pD5LpsdE7Coz9Iwb2ZjH/x1Y+z4tVkv+0dz5eOPZtf/0ySfNKMvsdfHzbV7vdC1V5RH/OOG5HRRfY0Nr21Ldx1R8uUbZrD79ABr2zqv6xVcx/EEw6F1rv2zDRgSbr+AtMvtK9/kuIArroPepYgvxxdl7R96PF68vgXwtLr7vGWwPwFbW5N5dMun6BHkkm9Wxbwrapss36z0/COxtYdGpnf3r6Q+cCBMKXxUtvtdnFw4lovyN1fqPX6aFR+0IzVAPfj4FiPK8svGYoz6CKzmfNf+FQ/lgl6L8TF+9B8ur8edaf+Cx//vIS0b/Ln8h43wk+fKpV/R8EytMMehY0n2XQt6olQgbVHmUv7WyfspdCxk+mUNT9scu8OQx/Y6XsG6H/YS7/QoWRa/+nt71uz09yhuTbgQQJSrTXVkq63a9UHN8xif4xxbJ7UHynrIGMC7X3aNfep4WAf+AX8P5Xic87B/lvQeQLvei0u0l/Y/7gzZ3vjymE/WvIqJrxRpA5kfEXAsEvQlRPvzBU7cv65d47I+pdimAvqKKOeqE/2vXmfC8f8LcLtWsoD+uAn2vkNmk++YavRHa1p1yAJH2oneK3WhEMOfvPcdMXqhvtwBvfNh1QM804VXe/vk/KL+FmWvei+zhY/PS6xjbmGHpXQ1hFvW7nzFlxR7vQUa/zULF+b299x60APzaweu+Eqx7k+0fTMWdNni9ElNeiDl3oak9V2ssp3U6ne6qMnUiHApy/oxkPOaLzzqh7deXsbJum3nfbqH9aB3wTO4+8FCmP8oXy1Xzxte1h2/mqt8oK+BVFs/+ogP++MDs71a6DnttDa7f66OmGpoN807RTe8tj22idi15LogxdhfiOO8q37fQNYf3Uq05L4X84RXz3W97aF/GfWy58AURnS5G152WedwHRj24q8m7AUF4bpN+QyJ/3Zxo9oEuGoZ/23PraKdb4otO2BoC9EBjt1Ef3dDGS0mZ79DBF9larYDB+RXHrY7dlfg8c3yZbPQQ85jHbemLGf/ReBwjIgx1/eYH1tG+q8V0zv75O/+TuX/jWN/fLD1Xl+ziQUroXKn4UGt4IU1jt3ZXttX9J0c9A9dLXvjmqXlEIfKMq/EuWV40LIP5YVTFolo6hnMrcj9k3xHMFfBKrinbXZPa1zt/3C/q/rw/s3o7fVDJt7NK7X5zkK30BT5t6Ts9yJmqeCOnem81o4D+1Fex+XL9TreheKOgR6J8Gu66iXvTUroHRNzcy/CXVCgVikoK7yNBUpMH/4cU/P7sM67xZ7H1bMzH+U7vF/iWS4Hdvi6SH3aG+HzN+Ekb4fA+q71/lzVH2Li1hPxb5H1Yjt5NPXb3b0XEHgZZ9vl1xu4+A1oUM2ukq3S5S1a8UtN4viyo/Vt36yKVp/P1KxItTk3pPa+erHtL2WxWn0UVH/TKx2Hu6CddLln91C/83UPZAhL9OUd7LhZUfq4f9ybDraPrbwu6HK6UADaR2UE/HRlftKWcLBFuFqOntCrc73HTeuZJ6AsrHQM4zYb5q9zfbtkOl/Ludpk4JBbVLcp8iBvd6T5fh/nIV/rAc+Gy5bPcnt8zU9Re+6M1R87ErhO+CGqXXFtG//PfLO3C+gRpd7V6oj/bQ+8kJnHMMvfC1b46oHysQvr/U+eWY6nzluC7IXW92XJeunJWkzkJI98LofJFUP9vm1TMuDAX3OhruQVQ62/HghYu8OcZ+rG/wz8QY2OZ3YUxXO2+PsRcu8uYYe0UZ9X2Z+PuA6i0DV/cpjDo/e4K1bjydZT0rw6i/Nzh9uG7J98l4bxmNut87MOl8Wv5nV6ro7WmmHR2ok9oeaXq2jZvWHr6ufzm+550ryMqHa5X85ahqTyh8hqo3PPZU7wDxN5Su0VG6Xdw9Tex9fb+fjvGzSc6AiNoz2rOhulq7ZfVT7EK8VZVni73eDVWvqBj/eajCPeUtUdXOeHzpsX2amuBusK6qD6e7vQWm2k3BtLYt7D7/vXMJU/2xyvkfQM717pNTjp8dc/ymYlDVn+xa9hTqalu6/3Z4eT3eOhcIvqXXQe2xlHr3Ry7y5nj76C2kvx5vkLce9yI9TVz/tJugA1d69v4bYA+imfYFe2dRqHuB0LONQH4Ger3eF+j9yDXeHHnKR8qeb1887SgX3cc7vZ/hTsEtHJ7vkvkmuOtiA5KoaqDu+SFwoAkh/XUfVjoqPwm8715E7YEEggs8aI53Rt6Ple2/bML8ZLfdr+7N/PQkh2+D7+fh9E57OH9lq9TzQ1NfPfP3bKNe7dl3vbnJf6yu/tfkd4WgX2PvVvtrjyLf+a6Ub277H6t3v4Xtf1kyeR8oaAb6qsUe15Yfvf2TvPiFq9zB5nFCfG/YvKaEXRTLetPykheOlYk39SJpjfT/locWL68+jup6Hcvl4st7Z+cNfff87vMz1M4OA+90+srXORKQk4Fh/O87yzVfz3vaavPZmj+17WT+2uqf54A+P0b217Woqa8pNP8170vmhW+7MPA35fvHMPWHqv7+9P76rzn88+95De+SGl5T+P0bO15MDd2zjVqeWFUBmfDbQ4f2mnLsX0u/bGn1e5bWeh/A0q8phP619IuWbnet/balO/oHsPRrCo9/Lf0yse9+x9JtGf33W/o1hb6/lv6XllY+Qp5+TX3vr6VftLTyvTytKR/A0K8p5v019L8z9D+4+3C68O+z9N/629sTMrB07wOY+hW1uDffrqiHLs5aMzDEO7WnPmzH+o2TGF7aarQVso+PT3qzVbfaK+pcb7WCWftG4ek0lG1E6eDOlw7Qrw7le+/Cp/1YB99/aGeBz1j4Jto/n7eA9R58sKurmq48DQt3iwu6XQN3O12sGvh52n/T/dV+amcBhCCmthtwdjvv3FCgv6ZK9GfCqG2WxB3UdpCrqqKeFZR1FV8oxhcYPff699im7/NpR92O2uspgBENPQX7VyLMDx3P8NKXvTn6/pxV79/KIg9wA7LyuDfvjMwoOkQ19Chjv9XpH6oK0fNR7/t5B9MPxC0VP+pEfjp59psP2sSnpPAXWNgw3glY+KKjPtpi+uyQzBeo5C+CXVf/nSdxYv1dDpV5QQ3gllKckaL2jGuAxve2ksagGbD2HEiPUdGFpPnkBINvg+TfsVv9x5rePn6H7ffw8m3fbrcWObekctHtfdkxXv31k96nRZq6+j1b/+SGky9865s76Ic6eOYD4QqYqt55ZJa3QlW3xe+jPe1/lr2e7Y37/W99c1T9AUvGfw5ISu8CPW6h6p1HK/Q+51ucXfeFPPXqdp1vbOr9gDqIZVr3dEbne++dq7+mDfD/JOq6+J1Q93R1+tlGZm3nSK9nKNr9esyfPcoHPV2drj4FIbxzgdSHhVDnvPrNQfihGhTfE4QgpJ+C8CkGO8b7YLB7tpb9LK1ryoVu6KiH7vfS+0nZhdHZwuOz5c2t5EBqT0VPtux7NxD+AavZ3wSE73RqWffpynflaRzsqvhCV5UHSa68CQQ7Cr7oddDvSsadj15H/yiIfCdCqGlPVsdr5zs268b3AtaPYPLx+vjzDYm+f5U3x+Sft0D+JzHZbkL97bUD3YsefgTJr2xR/YswqT9ZNa+eBzDlAqByAsu/StRfEHk2O/r9i7w5IJX/q3n6JcXyXmyxp36PLeJe6wrdjqreS+ef3KYGSMD3UrUKGDWUDqDw/jLvnas/1N63HwmG+L2Es/I9wqh1lQuIkt+axPlVKOwAU+kpX85Af+9g+Oftl/uToGz3Z3jUz/NsZZ8GErbXUdvzjCG9PcfkezRi6Kitj39rlrWNaE/qjT8dOPGFih91A+k/dJk3h+yft/3uT0IWEhj+0jukGGeQvXv/AbInHv7ekIVgjh41D50f+tyeLqz/+xr5N6aNX3eVN0fs35mZ3804v1sjV7W7GvmXc6B+cmF1r3OhKWoX4a7aUdqTx89A2L1om0IeCMV7o/DvTM03UKh/BBBqkNzhJh7Q8bNna34fhPB0Fz1FO2medy8GffST6N4Lkrpyd2Drt/rl2kM9H5eD3qpdDigCelSgVM838ISQ9e+rQT39ovuoPKn8yDXeHJAffQHDuwESt7v2PtpM6gyQCF1g9REg3xCRvUflSc04i5IqRMnOF7Scb2r1A1FSf1SgPJ+wfOEqb43K7oc7/u+jpOrOO00mfiNX/yjMVO3C6LT6S0PgPb2zrbIxyBId9ToPSf+dO8a6H27hw0eBWe8jVCBVeBu3FZh/edo6gBDjnnq3T4zS7XT0pyhsTzrudDTj1JqP33nx12kq/v96CsZgh6drYZ+YCQx3gZRnNYx3LucY+vfuEbD29B6Vn0bsV1cFv/Iyb47YH5u6+YMRe756+yliUfcjIPYcS89S8C9BrPpdxL50mTdH7N9pntcl/vfqDFLPDrh7mvnv1qd8u6f7taA0nh5wdya8X7jIm0Py7zTO6yD5XtPh55A8O2ChXd3yGC4/Obl4hsmz9qMXLvLmmPzlEzWv2SLnKUTbTz7dFr3d9mb6AEb86G/Of3u+Yc7yulqtF+ZnzN59YFW2W7B/fbf1B5/5j+22Dni6QD3UA3mtIPVh84pTmNOU9iS187a7H8atct4RoOFXgRPAEh8ffaxuP7D57tM8vf/74tM3b0x7+vnTsQOv/bzWNV74/NlJhNpL339+CNQL93+WlpTeC/dz/nlIY48L6cYLt3d2UBA20L/6c4jeP/Dnve7ZjnA/9vF/7tdLvhqkpyz7JVB+huMvDpt/t4L/esz8VxuPGap+vvG/1v0AW0V2XzOH99faP2ptSFMf8ZiH7msmyP5a+0etfV7rO0uBH8DNe393bn8Lw2Pjo2/v3fu7kfubeLz20XfwPxUe/hr+1yb27+0f+yG2ee/93eb9DQzf637P4z/CXuC918wK/LX7L7X7h9gavPd3E/g34XadD79TeO/vpvBvJN718zLp8/U272tq40NE91fZ9Cu26nTQV6yL0GCAfpHRMIDl3Gpw0Yvnm9S/s90+RHD+KV/8TXbUu3fLd74ed9sttH870zI+RNj9yL7YLnj4pg0/QDD9EFMc/yGnfEg/Dy31v9uCH2La4j9swX++cojFO5vwQ8xF/IdMqJy113yZzvldNlTQK6YVktv17mE34rfqt/namD/vxPnSEva1/po5vH3/sr2b+w6QxXoJg7VYt9hbVtf3nwWbrY+z9gUwzPuX0d3Lzunl8PD4s8Pj41cP33r/y8+D9ppDrz93uLyGnbx4PLaCfmujD7CEM16g/uTOzVjpnnedfJly++mGnl/dj6agDzEV818KeJ2z9u7TdhO/K979+s3G/ksdhYPBE9t+6BbCJ7jpnBaE/nib4NM94f9RtDNovVmbYOf7N3a2xFVXX2orPJdgL3z/8766H/v8fVvfqzvnvn87zzvn1Bfs9ls653r/HVn5zLnbpvmvBXTLsrSB+msC+le6on5/LaD331GSv8do+EPWVXt/kHp8FzOq3XPf+xi11A/RmPYfsqP2wTgxNv4gWfMeFux1P1ot9TWq5q8Bv2nAD1BK/RAtX/8dCxr4o1VS1VdM72/SuG7/uSzjVnk/DPAkni+Kq9VmuV2u2oGer7bbVQkfKNo3+nGSX98VDB4N5v+7+++bRnoGgbtLfjr9Fp1+A/+W8Tb+n/rp80vF2uyu/6f0DwAmZXA1Ioo49rV5eLhNGrSMRxQlw9VuokpVHnXVPeq7pEx2bvZp7w6MRpbJcjxKt3Nbb6ZVuolDfX3lOys5ovvpsreDv1InVdJMSuMojr3DNMj1ifr5c+NlXxEzp4lD4/bKHx8mmbkc20UOf+9Gs6JIit4BPqPBe/tkdA3XyY1x1t8vBuNrqRS5tK/h9XhPhvCenRZxKFdyiJbTYX5svzsOueqVxt3fj4efruGe0XTwSZsGY/g8v41CZyN8vIxCshaqs5Oh3l77VsySa3fwCf7m7ruv778PxmTfScDtIoUZ46p/FDNSJJUoxpl2PR4e6nloVcLv1wLuIQ5xKhS2h79T45CiGH73+frj69jmtVBSBPf1+V5G7XN8un++T+2zHEUYGeOSptI2O/fftUtsvZoqTpooTCGDQ81z54pVyd5Hspojq+8xa8owX1HOK/j3EP5397upSfrh3b8pYYzv5efPDqhCB9ziFvzbpbg/BLusvOLuvaFX1gHN66mzdA/ucAu/Gyt+KfteKB0G38Vs4/PnAtH+zLnZ/p2xF+13B2LbXptmZBipfEODtH93LyW+DKzxnjFzJ5G38/gnGHeRCk7hfdI/XYuGB4tx4ZOhgxdZUYSFlbnF9V6U/JaoMBK59FljRRynO67SKmCbtTBpGYaOyS3n0q/ElBXEpyVe+jNXI/Z25heeHmb8Ns7SSy/7tLu/1ng6EzdTm+hTq2YLuy5gNGDshZc0qS9VcSXNHAfB9Y4rvSM365sFKzYcF420t4Ff9aeJctiKoZyG5oGw0lqxzAoTdt0E5iEIRlwRRX98f62bSCkIU7DPkchhPA6JLRQScI3yeh3m3I9xPfIrx1kEVBGBVBbDos/g95Q71mt/3l/rh/7mZ3/+vdafei1vH9hF4Za8ClBR+2HhxMy4iYd9OxkYlM/G2M+tQRia62mo21Eu+dS+1uUQYrYi4bNFfX+tu3/D30/iWV3SxikEMk6/u4pzpxb8E4qO23Dhb5fz0fhAMrkivM7F0lBoZaFw1G+ElXKeWbM5FoKVRR2OTC2Gnz7iIgwTdPKvOZOE45pEinHJENl4+bYggbA52zZc0RkJitli6Gli2UPCHu+iyjrdy/3PdBcGQvW49TAO1E6nNOsvmZUck8FGv79WKSr3uKj6KgmTnT9KMz5Lr7iNL0nI/bmZ3sSjFeZoa7OQj/3MyWOILzywrsIQx/N8rMm80H21z/1GKByuCWNh0ZzP/IBqsW2lbpgeP19rc1hwa+AhYkOO4tzf3k5tXjArVSTaqBO1mExH1GODHnw2OUS+ET99psKRtiF8VfYh9t/ZOMrINLakTYbETjKJ3JLe3j9X7KJrdRqi43SwxcnM0UhBuD+UaDGkapgbt3xk2azhmeTFLBlZQ8mFTrG7ngbFAOxh+bkTBOV2ueBEj5V05TOqXKqy9nBB3CadBshR7q915Dw5cJVEniorX8H7hNc0MB2xMPWbkEknLGWHm0/xOWVM9XIH8tDn55urTkYAhy7OFTlzDsHQPF4qYhBDnpClPOHQnQ826zivt2Eus0WudyAGb+H708DOUYIKdWE6A8q2A8DKllYy83JTFSPe8UL9xg1kQ49GCTlPD8J64qnOQap04mOrik1ZxciEeE3W99e6Ck1Pv1T0EHiDKkuhCZvtJoo+45zUPCSe29AsscRlMjIPMM7nPrhkecG8BxvmzRzDfZdYBEo684dUJyW9ur/WbYS2ykTlBwl+4+cuCqocR2q9mvrbGxbiy0VI/MWotknJGjlLi4lC8TynGmH81g2KksGoxbOi5gXBcRWpU0DZ1KRDtxzrU9M4uqqrnuwVBzSM0GafKAZ1Q3njqdEhyYAOIA84RaHRyqmSMDrQPCUSR1oQWIooU49jiRdF3UiFl5cK0eY5Nr2ZbIIiASsZT7B6f62a2talh4GjnMalSdnc4vv5CDjDkO1ctDoKOxWQdzcSF7etj01wbYdWehujqJkce+vprLYIMlRp1yYz9xgoyFIGRMjcUTlLm3v/akiTlnyUqhOl3pMZXS1yJyQlWUaqteYVAZ5k2QuzvuQqN+dlTaOGqRzGISoEAX+diIJ7HFmKP6OufzT6tLQOEvcD8DlPjurGVerO/XN1uP3ZHm6W6CTX9yTI14Hav2RHQwG22sRBcYYHdx9geIcVw8/jtFLmAb2JK24zdXwQmZyAtXbEMptFxnXXN0b3z3WMcv02UqIG8JIuZvw4ZyskmLNi1qedO+x7gBktzhwvHDoj30SHpCKatLkb5wSeRZJFeej7ilzNrSJlbK/FCtdYwQ5Rvh3NSzkhOeH31wIM5pobUlMoOHKRdctNoyNZGiW5AG4j/SR3bhajRI0yKw+HFieBvJ0oEJsbqQEvehKHA9saQ7zoU3Y/BhVtBE8399fCEeK7ONTUpET6pEljaYswCaxyMTCKqW+MyXKzvlSKQ8y2JLC5Eo4A7yNC/UxOwf4msYkHfjQWJcT6mYD4Q6s5lh3GYZxVQqKczk75y8utdF5uj/5xeyPg4flwvJO2BO5fVFwhV2D7kTT1mAwBm7amBYUDn6FjrxT6Y1y3GifC8hL4Mb237cy1nNTN+topf0mGdszWdhC/RiQshGSHGGJ1J86TJi4PG15SlQTXqOWb8Sztw3Nc+TZxfLBnbDoes/EgzIgdV3241WtVoLHi8WLl2ukEOLHFQzk4jSFjckltEbi40KWaHOF98Prr9dSWubBFuRiC7zFjSM3rnVQk5H74WdEZUa7RWX65IpZjSUROr92IWZBfnej+uWbzrLiJuLxNLFObDnq7RZWvL1U6kwXo5mE6DnghfJMiN6fmpJHNYrl1wwB0GmjB+ZCO/GG+d5VtH+LbHrQMndvX4KdyvDDFLhhsZ1FJTtdyW39IGrMhQ9BQeZpBXE6DIvVdxVszu7ePGN7R0mhEBtptWDzjPszmo8dxx/e3QloiBk1VctPFAaanOD9wG9kJMlfjFoxNaR5cRPeuXfCA0TaWrInf0/zcU91AZJeKTC+x5ciyXsZ27+AHRPeUrQnoGV0qXKG2Q+LK2fl8vBMziJQWv/RHdXl/Le0SGR4bekpsG4E/co9JAc8XWHgaas/sEZeceEz2T68FdhoQKGtRiTHgJhB+T08KqQCjyCFOwvVSJRgV5P5aFbzjETu9Esttn/mb9VzRvZCJ9nODyyYNAyavZJmuIM63amyf+L3j3KqPtPqECGaaGPVdyPXLoMSdCGIghe/2B72G5ddaaCcIOMC9f23UxRlXidlGocP+k3gXm5Cf27hfahjGFLU6DcYzBKwgvjTM6Ug4i1C/TSprIqpaxMvePuR9JZr14RmTk9bDblhbU9BaSUgVzmjBspTSoVgyJTrIWT1xTQeFhYknTbEVA6OOR24TVfzkA56sRLzInEticxhHJ1+Y+Aw/aX7CxoI/il9BQZNCpEQhN3JpEKJGiNnebnI0soXV71zi/noRUo+MBIy50VmEbA0x8XZqWsW8dA+xVRyAr9zOMzqUeboN7O2YmJZ9f63GHxZjGoooAZ5LSnEFcQHiY92fWn0YF3rlKqSeD1ME/HxG7Kex1lfy9YK5jQjl1UP8zegR+EY8Z4fjIhsf5zNRnPgG4AXPl1sP4m2a4GK0GAmTD3pqjL018Nk1xOABz3IVfDrlJVHd9rvRRhO+cQxnJASuUVAcNV7lzBKcEm67TTzMj6T1T8vacWaI07XC7JPuz6woUgXkDFnPz/NEQyFSy+HptZfRQRikOq2KbJ7XkIx7O4gzJc0cwKKGgLOv2UjceDncq1JD/kn299dS5rnc+KNCmZtSSQI5gDR8c6kYoWAQriseMfCdeTCG+FhvEuAIiUIK8FO9zaVkSO/4pch544ckCtSxvoA8/w1sXBHIbT67j5eZGAQoR/7I2UPMSgNAG+BixYbOYM7rKgRf5TnaxVa0g4jVTG3nCDluD9/PYkQa4MmXEaZmUoqjKIqha8tNGAr3/lqbhW+s4oKWAjTEIk+LQLX2yZCYEAec+Qz4RmM9037A4/oeOsXAFGKgYYL+0CfAFad+T6ElUsVMOLGi37qqDE7cZpG5jW8eOvBeGZd1uBhyNDXHmjfr70OGvXlhqfGwiIAfnTg4cAMriMueArFZvTwaY2kj8DkKuSI9u6/xHnjDic/3IY9+fi/r80DZojATO9ffKouRp06aXA1ZCv7iamIGWQ9iJ3DDGzak6bygNwvm7aY2jUDLjuEZwNfGOw8Chm9He6+kFctIQ03nxNlGEkHeZfWUWcWWlduBr1BvXl0jjq09a9o8kp7b2p9gaQWmdY/NbR0PxSqaOem8kfllI3ZJ45Tt97UaKqm8k9aDyLAds4GhJpjW7oxoU/DjYMYpjKdCRtFhMUsgDlpBgCJ4Tmu/KNMOCaVOlRT0rOSLZe/Ag6J2FQdyBuixkXWcztLs8VjeP9cdJtnQEo9jLUNbHbRnIK30OFeud1N/s7tEaUZK7oUzVwc/XgolPwDvcuZ41UBMA/7oHhY5oazVaoPe3jeLCcd9TDN54qIKcLJdPCO3fgHfNHR1yGeAQ6YkjFauqYfh6JMCttJ4m1PDsxjViNIdycc+E9CijjjEBzFiTVh5+mLQO/EolWVFJWxdcDxGoJU1vuytXWSUsuFhhMWNDICHAAYocHmOeuoEF/58xDOI5wxi9pFb0ZEgvfYKiPuBFS0qkQJ/aMTQyoGzKkSpw/vnWpPR2b2GNfZHKfEeXssiVgoUjhzwUrzlZg/iULQnZboT7Bq0YXoTZ+k4ycgO/H3PRw6fqzDu9gpxtdBC5p7y1yqo3CawMWj3glLAEXDZYYzJ1B+mHuDjxgXbJ+XZ/cwsxx8B760skyHrnovyo7Da8SM5WKgmQzEGLB0gXh5O8VBmCeiB4spHwNFKTIhvDGLgoosAuGbgNmRWj93cMHnDr2gh6Ryl2tRKR6BnXVcVoMuEBj67I41DRJU0vtX35hj+pTgKn3Fn8bxG1HLkSjBryNiDL/UnoBkhZ6dsVHPIkzuCDptFUNxArFjKwRZ4TuoJ5LbzE2Yw6wch5MwJbnmkt/cqvkuO28sY8v29vZCY1XGi1ibFhTc5bnbcTlViYhN0k0KO28IHDUbRWT0sHB/c0OnT/D7mFP3Am9UQwxDEbVFeqtdqoOgdyLedCe6rJ13ZPnMI1w5UiIdBsXFD4c9Lb+01jgK5fTOfkZm/NLIkLLw5crEMnS1wxz5wjUuKHSuqan0RFljk21XEDghypDKvnsbFky8LUywXI0lPdYOEFeOIyXgecEQtAfdPXOAWNcQ44IsHG8awBt9WxWA7lIOeHs4Yom2QRtuZCJzYr3jjFVZKcjFLChq7yLmvs212XgXxguEBPJ8CfFUNwLfbGpHbgKZVrYjz+ix2W56HnCc+MUcS8LbdS+CxbnAN3JIvgVdSat5xgFPNHPS1q89ZfcNVOQ1BH8UKQd7sE4pmdCmaImOhEQX2QfN4fz9BaTMFDRP7PdD0+RF4TOHbxVGM0vV5nXPKCtAsluOhxzhcKQJFmDSS8eZ6HaCtO29/B/wYvg9iSFqTwtyJo3HlWtZVOCyOEJM1rkiHIn6TzMaI2PSWj/iYNMXVvIKYFurmIuDWHHw3yR5qKUiYoElsuv9qvMsEaedaTvU6Puz3/YK6JBQFg7gAOVgDTRKFgw34oaRTH7RR8+kA3CaITeA2VsFbHnZ/LRGEGHz14LKloYWZHMRc1osw1eczuD/LmYCd1aCsU6o6BzJiB6qaB8BZ7jVkuqiskof0uT3LpzHupB08pZhMVHrrqbIBjbNPQmsbl/k+QYcrsG3FmIbAh8egW8ek4iOXHSZJaR0vlRWe2weHNuksQkbkKQi4AnDTYvU5FudcF6ax8xV++6C/TE6joh9KVpxrbYgjxdM4gqxOMJMEOPxM2uO138ZiC+JJxY+eCn7bFCmb1U2ACpZYDnXDleoX9X2NaMvdqujLiiGPbXagAQvwd5tWwLF5X7hV2nBTZswEnOE+c1ue3RD3vA5LcsuOc6vy7sfRtSByDYwyyUzsZvLEDzFoOySDfDdlhy1p63U4bT9rT4f8JgA+l8xESBTRn874LLT3OzfkB1puAK8OjbO+kwRtfda6TPJDFFXu0WdyIHBhy4yP/YaBwnaGJ2z4NgZ+cL1/7h/Gg3/AvV+SEnIRT+3JcTuGGF8y81qdBtdrbq5ajO/l0fDi0bUSsAKDTt4DHwMuau5YkJ7m9ShEGN+fpcXC1MfAb3TQbS7gcrPIV1qUS22eg34eWdFEBa065NHCdIYu0jtJKLg4qwMz3jdjE/cfxrjku7h80CkFxINyojDsIsyCWV2RXB/Hy+0laLmGWNJ1A+p7iGpe6ICGiNT5qL+OsIT4lRLQV35YJRi0axyFJpYNzRirx3F1rdJK3ILuR/PKir7wqKc8lfN+38ut073tADd7OXOOJBOgQ3TAmgwgl90QWz+2r6fmvhEF7ZCAXwIPBrazgfjmjOiMhknjroEfnOYdrHk2xpCfvJbb0tEn4BF8NQf4+OUWuNA1DkLpx3muBG2eVT/n2UcY3M0BN+5yuwvyL5wvGYpjOIzU6Uh6LTc78Y2WW0WZmDIVCIdZXwIHsFzb8oBvTOfgk8A3PYYOlhuMQU/rDVVFn0FuCG0IDSMrjNR6uijkeF7Ve9cqxiyzbDEkpYujXTBku6B4VAeoyFkdYAU5UlReKU+8asfsfC/NQ+GbwoZ8bZEsWk+UuvZYrvkIgdazyFyp2/ptljRkGOXGeH7sNT4rTK8QJ8xvQP0roOHBFmjnZcW4rXf4I8L8WdGPy+KKAfZii7vx0NlElbg6r1HMK0edM2tw8mPfssqk3K9Bt+2Dhixbv7i/Vg52575CIPbUI9rOCw0/AScVvl+kNjxzRbJ0LXO3mY76qVtwOg/MAx1ZpSjFgMN3ySEZLhiufE5bfVi3tVQacrZYboGT8px/fV7PY9h6WgM6btt7IBNUc4ipGrGJ4gKX8lRxJMCDfHu7hrhVJypN/RGPOS9yoVLghUUWF8UU8qU5H0baAxdt54KGzhQ4S0UUB7lLY8zbml2YLskS+OPSCKdD2UmKRAU+eGZbwCewYC+U/S/a7hMCbSGSu3kbT71E+xNn00FPCjkca6Log0c7N+A7hOdA1rGEmGMCH7eONAScgKxu6wUQW6Zz4GfxqJ8xBPc1ItTLMcQ/CAvDTztqHtwJ+PnXeFSUmSqk69EptwWKLHhODrxaodZnwcYdsHEpeX/sqtcoxtdIlj0tLtrcn6jSNsAnTN1XnKmrGKVbcYi9teNbaTzPHcRUcXN/rYlftvFvr7ecEXjD1RxT4EIRcFlnRe1cmduOwp7pC31PRmICtu/fx+ZJHHrYb+cEsvxwx4tHURMOTWVuyVP+OvpqXcX8rmYxCIq+BzkB8t41npoOZfm29YUjL/gksHI1QTxMIMMQ24lCK10HnPvAkwEzkgm/B5yeCDd3qpBtEXCir+jKuzrCIcb0rl/ksw5xAGMHPkdiSZoE++UeQ7zzedsXBHo5zlwEmMMeWx38ItcWzN1HR4MCTw7iUNvTwuKgdyCnWSs2e6j3tj0t47i8buiQZgG63gsrDaXd1qnr3Vn+HYBWQwJZ1f3vUBJu02nI8UShoHlNPQL+L0KH0NZfq3rm25B7huYD7wV92863eZGS7wWiqVC9XQhjTO267wZM8YviKFl6u8jrJikPEIuscTyUdpJZOgEWN4e4xwvAUkG3bmPC/eEnfpGw7Yn31lLZfun9ACyBduzAeLhBrunTYZqBPtMEr30f1bFs0oJBzJeVJBxZR2JylAQJAm0/DEp5uQgNwZE4QNwsgG+vuZrOAOPs/lpsUcHYAM9wUQ4ao17CtVdRiVSIsfUZNz34wIHP7i0PUDr0irQzz3v6BI3X4Ke3CU69eUFXi2GuxCY6zdFPgcONGWgsL3DXoGVnSan3WRAdp3ZhC5uXsQnjlzHQE/2pBzxTVg5gw7kE3dhfhICfEAOf/xpfsdbP+fwhBQ5YUyVauwruhFW0gxy/gXwXTJnO6ExW82GqxENKKKJbavWXCXZ2bU3GtdmOL7duYPKYlCJian8UB7yQeVGTGWcxaucw0+qEjUmrfXJDScrk4FegpRWyeja3YFmXwFctktennopKAG7jWYtXbz0d0cncuqv3zkAH+vOm387D2EHxCTFe3+fljeZjMUgQnk1Uay9GjuorBWJBEcwZbrnnDUdbLWb6mBU8kCp3ZRbtErNmouDrJCgUaTE1RsVZTB6jS1RXp96Hh3gYWGYEeiq0TTW0rY7rAzdBlgU8WhFKoUvOdT5qc1oRt3XoqUmzKKc55N/ZAvQPcIW+jxzOZ3LPq/4taJRVxAnEmMOI2kKZZw/+pQZmOp6jmpLMa+Ylv3Uz98BsEJ+f77Fo+/mAlyPa0Ok03KhJSZdkZuJklO5jph3kSGhTmzfTGUXurD5y29Pnx82BWIAj21DdQp5yZUHtdMyQmEh2mMUlcKyqQNNAeoFJdN+2lnObKdyke2aSPi3rDjxbwNSoWZTXO7iXuzHzbWk95gFJIadtL0VURWqgnrTD5gj6FLidHLoj6jClrceL2jW3Nh1xd24RDXTXVEIsifm1zi1hAefJpyNrDLpX8U05Illxc9cDk1/vZFFoLqL1wrQ2STNWw4q2WCufxN6QjqPycOSZgwm+PvpNKsJZOqYIZxCXMhpuJ9NRrUEMO3JLQhjOD4HNj9PAKpKQ7pNSeHFuOFEh8TwX+9DmOW0iFaLHVAbipL8QjPPUCwpgKKBtzRV2wWaJLbLFcqNwG+7dHjegb3kwIlvBPJVk4yYBXUwZv/QKgpKsryRWEXDG13O1P/TaPkZTHiN1dQCu0yHATU51G1m5awGxzzcPLebdAH9SJ2r/GGUOoDztuCpveGWhKacV8HTMK4mnAfj9cnsb5Ns7jpFkvPrS2+Pu47v+ovEabA45xT3FKOBevT1cC/JV4Qch8Fr8ae+181I52QQjC3R0T/eHzkGgbccLjdAtag00UQzXmQDOp3FpjUDb2wz4hsjIcoJTDNyy9TUYn+0xsK5PNb11a5/4uL0F7I3i0lgGiHQAHx3QhesorBuCP0EucSLG5VGUzk1SUSyHFpIM6bKgOFZzlXAak5zGMP4lKfr9CLQ8CyF+V3QTqOOH/NXWqBITcpJCFQE+Eob1jWBof6k4l+4SnjkAnx3K9BJd6zGy8nlRpy2Xm46cfNKIY8RA+YBe9Uta+UPIZIp+5YF+jnKnpJaHwNez03wlGZJlUuS7MN8681BORViXVKUr2caGwG3mAQPes9p7R2Mgcx0EjIFYBepDEU1UWpdsZu5D8BfgdSOJCaUqqSGWAzZqFWxeLZhz0pWWxwkSSoRc1vI8x/Ix7Uhbhl4FyMx7iJh6eanSSTgwNkk11gjmW5qJgI3ytahqPcBCXzCjhDx4Ba85DY3VPLvW4pz0QQuCz2xO80SAY85YaNz4wPHk7DP3iQrgOa1OKY1+OBM3l8jVfbQtp7N+AZxzADhSpwy4i9pX3dJCE+DtvtrWkl1lHvQ3/gx8jhd+vNyokOB3J3uJ4noHPqaIpXETgm0njQk5HDSySQhoDOzDs3GkKfAsPkd6lQDn5qqsg6AYJ6UBnCNBgbI60tI6crRBgolVnBd6EBp2NBvvovxw4thr99jW/Snyrbt6Uzi3D8d5BnrwaOC5gjfzSriLpTETarFtcTIdbPSo8nSKrZxkRAD3XgJOhsyq/WnQP4RmfUNNp+UdDYDXCobkeKrb8LCnLgrRyNJwk5LrgdpvInSI3VAchDU++pk1CisnC4bWKCp1FAXeTgZ9nTTAS9XoyDHEZtvdQV7ZQpxta8JMIKkky63gELcusTzN3ThT32AeS1dJYbmLgpIkICxp0vEipJBbtMNixEOw0egSibVfkS3EJc1Vo3UwLPKoEMs5HusycExitfpT3vLQceWQg022Cpl5WJoPOmU3Dwoehav1dBYdfEtUPnAcNpTAcawpHbGdW0HeDSX4sFgCHo8E8tuUp7OI1TtuFZfA/wUJ9Y0Iewfw01Gi1h7hqQOcuZ+UPUXO+icNm7sK+OIM4nvTz2Xp1MSUAy8U4KGgrRqCFjbfwJNt5xav4qbVPWRHFHagOcRPRq0AbTck5GDnTeMOtm3dejZB2pphviGWpPNqtT7VsZOM2jFvcx7ef+5f8eCn7iczyqemtw5KduCquZ+XNQ4UT2UBn7jV9TFk1pVr9VFg9Wd+4x3djKxpmaL50YhFKAvfdtIoyzUYg9N8ygHGFV5b/YkKud40D/GoVj21sC7RQbCGIsiDCvCuMSsTxQcOLdleg3vvAIe/YqaEeMYh70WgI4hD1bYul4L/JuvYJBUv+tp8xE71jToKC4ux67ZXCPPSiSfoWiFZdOf3flsTsLdBPAKeXcD4FilehNgCP7tJQidgbV/lyHKklS4hNoNmpTnY6SqcSTUBnprwFIXW6qS/ruaBcyOR3LiZ5bFcUjEqpt7MKdtYHlRs1/qUmOXruORTmWuNW9axGJn6ROmt6aids+BWkpE8GeZqPOxDbEndGPc3l2p/y/0tATydal/Izbgpg7SQwxzu2TvA3xXTYdFJKoJlUOwlvLOozKOfg4IuancxEtMokJkELuPmdHfZOEOpfmqEv9FckzXSBj8oNyiuUpfZ4z2wd3zyL9ZALC97KAgdzbUPt/GQ2PPCit2K6GCPZjryDiLUNbdIb8MStLqaXslRrchRvif2vu03W8J9qosQHdwS51G5h7hD7QDLVQD4kbZOHjg2uj7EymHJjpu1DCwyD9v+oE97hkmbe3dxmKZxA3oWO6Fv19YcFytSCU7a+FeaCJ5Z961CxLZRAx6AI9Sj6UhcLgKvWdiRnuQPvQdhPHIc8D3Qm9tqGm7d+Gisp0OygbwecSUNPdVa3WmwwtwHOR15GS0WI2oyxr0kS9ZTlkZuQErKgFMWYgIj/bmnMxAumZE8wuI0bw66b9OAVuoHYXQQKt+4YNdISW/nNlnNZ84BkDtl4DP+KNLD0OKsMA+JSreg1zcuq4sod4EbeBBna+oxU+VBMQnzAydNOp0rxhVwo1PNwQyaqIlVcStAA3lVEXOcbmRYA9c88ND0jvHQEsAR8ygkrpt7h3npuIkJuiaEHKcQl+F+JEOjM694vAj40kMwzjNrJKx+DrnAC3PqnfoB5sG1vuB1X7bxe7ndJibmpAAvmInYBbyC3tu7KDoAH1IXM8jHirZzQ+kRc78H/Xc7t0AzFJ/USyWlCb7egaZUJgipMqPO5LhRfN+gpxg19bfefGlgEmpakENMs7mamKnCwo0OOsll3Bn6gbTkyENx6RwnoJlBw0x4NT5C7hYec3dT08ITRQ7aHjTgbmbCBSPlWE0CgWUmTjWHoxjykR/qR6K6YA/eBMUKtKyzFbZOSQl+pOgHYUbKvCjsqHIUZkHGqD4BF3bXRL1Whe0wqtTaHNEiCZxjEgCukb5JbFyyBrQmqk890vm8+nScl2YTjDytnftMZqJY5MYU8vdBtvX9kq3BN9VF5uguvlbCobWjGR9E1RjxoRMnfNVwJdE8Bty04JA3ogb0IWRfyFU8vWHg9Sf9FWckJUh6kA+XcSNvgPXnwGPqiYILl9fupVIXvkJvRCBvgCu4oIX0ZLnR4R53l+pKZexggiabRrnZzs9pEEuQUMdaVKQ5xOhG5A/980d/BDw3K5zE5m7C64oCj3WrFMvRWHczMXOzvAHsL8OMjkjjlMD5d0GrNSrRkUF+SJo+iZixckciJ+WBu34PuaExgDi4XgxT4P5SO/UeAD+bkcEG9ImMyIxeclTcAGe0WGgJsNGQMstxQQd6M0ID2wrm2Ek95gznaqr6aqrIiulJSTLe1kLDvBFD7+CVhxru9TAdpSo4xSkvrzjwUsjvVyJ0biGeeJxbxMsL02NMizNJZOasXXSYBeF2SxSnXaMAmpFvIO9WXsAj4LWgO6w0ZIcBxJR+XB7KkKEGwh0OWT0RJjnNE1kL0wk8hm/noKMixDvJEPBlCTspzQNtigh4fhkOzV04IjNmpiwp+NZjhyDJ9Usa4n7AHch16WE6EzV8965db5GU27WHyWXA2H6OH9ZkTXzgGhxwEHE68PJoH1Z9C/R/7eNi4s7orZelB1oayrwRxTx31OBuvZcUtOlPRZGuSCAg36fUV+A+mDVzAysPrXwfK5KxHGw7Yqe50ZE7svaT5tPeD1I2nbGdHPbbPgbXRXwDnMLx0b6hOeRce6+Glhy3vdQRHq8pLoqg3HbaOdJLtFGJv41iNfXaOvW8XWNVUOvzfF3/1OcwnOd6J2qsVdT2oo1MJQ6Nw9yy9kk792LXYxHiyzljyB8Y6Xwor6IScnRW5G7haXJGNyRwcln106Cgjd+ALrX6tyx09EChNcTYmSzFyV5+rGx9oljxPDd3oL92Ehm6GzDIp3IPungb5qYehXRAciDRthMuArn0Z6DvVD6OAhf4otNqQ0faq928LLSAU+DqMoD8PvUaAZzgNEe/Dd3cQbFVlKAjb5MMdHwhSmHXu2RoKeBzyAc+2s4PTjCp55nVAd1nga8d54rYxqA53LA4umGkylzo05Br4BuKzMFXypTy7Br0DX7oTY1QegPab8mztJ3/1aKgX05woskRGUcNVT0QBSKX+dRMx6JiTcDaHiZg7M31Osp1uIeVPmlcLTHFLlHcncjSGcdSgbi9DIdjDBroxAFUgj0tGVmpHLIDYVtftnPwJWeAQeBwvH9XxxnVwm/EloR4tiiZSppcTXj/lhT5GnhiIQdb8LtDGRRyA9y4bNcFJQVobjvVmG09rHmcqw7oyt5a2BItQsA/tsq4yZtLsG3QxtwQNGeJbwUHn7XSPEFp6oa6yxuZRoE1WYDtoxDuDdc4LPX+1C4QxACI0ZCjrbqMSudhvpLgfhGEELdCbw18HDjYp3WSFbdxCQNUgi4KnCsags7HFFBFdVJdA8tPR5Mmanl1B+L10j0aRzIsaGDexeKIKDx2uTySkHLg5if9tZyAxk4UOqB3Gl8WIgCdGpiqVEATjfpb2bgIsNJeU49Ns/EVvQ5triwqr0lAX7hD6yhGte4O+4wAE5qyAw6Q1EE/00XlsNDfnPzLBy05ghgTeZkVxvb4QNkWeAVhIpNaFBp7WRIUMml5pXmk2DteNh5wAesyUry9D/FVhlynrB60DNsrrNnUclK/old8mKAo+6SR2cOc1IEM+y6gCsbY2kXcWvGKjqhaDAN2cBazVA+ZAVxAghiSfVlwxEM8lA3o2hEfA6eEHOys5zNqz0uDcoj63LSGsZkGE9VJg6CNpVb/1D/vm9vQZ8DZVYhENhfTwFwzBUGeSLQIxsHP6x1gjMxnxaW73NrJiMck3DYQ72PgP57InCtS9FfhkIAG1meT5lpN2GETVf0xtT5pEBNPPIpGRQQYkEQo9VTYYi/Nnsar/mgx7JPwjs/3jzBGZhzI29DUj6JYaV4glr5p7SCWU1mMd2GVHhOzp1DOd7Stj5QimNvy0mdOu1b4tN7BjtEGXWJr4s36qlf0MYzCwJsJTYYyhdcqs0Edhrru5xZ8Vdsz164l2JptDxbLrIC1vQS49hcMdO6M7Oaj66No6IZjsYlmEgf2wxofHJUbDNwyiwIG8UBvopyoAm1nc7PtrWrXjxxav0SAaz/kFpXcVWQgFbftxzQNyN3jPc2LLEBpBnmFEuB8YrDRRVg7CxAB/tLwTtphGpB2LdRWFFRP0B70PfXgezPIsZdTyDdh279kOx2C7+ofeYLbddHkkhRUnec08+1r3K5BcW1rO0eQs5dGsbD6UZKBf4xWOG7IqfalQD5eRm3vTCFt4ElLjilwu3QLOiSGcRvN7XpKfMPzA7YLeDHyyrSfYLGioRF6udXwMgUPhGzHyM4dFdE0xFWUHzA3xaXLQGtZND1xG4/TZQixKFacEn4qwdDh84p2AkYyL4d4UFwfgG/yS0XcBKFeyBEPk6yvsZEYh5lYAmfdu4VjQR5b+hC9SUOuFkWthjzll41cuyE+5ZQ+jF0TqX1MAneXZB6GsacshByWGzrFkGdtfcZVU5GYgbYcQ+wAfc3JlZ8XSzfrT7iiR2BTP7Ahx5h6PQ8ljHddxsCTyMAYLlh0mjf3QQuAboXoUDHEbF6Q0Iog/8LYAlYyeb+er5jR3KES9023+LSbqNExDDGZhnWTzFJ/ah5ykgNaKmsYKIXqKdeHABftWroBcPuT/hqKKjq2fayA0ytq5yiAv1gA5xYzcRspEOuKtPRK0WcjF+JHLVh5feSN0/Zigq5dHRnEC7ddP8T4EeL70lWdozTzvadwL2p7hTLnVO+dMqtdR29xF23XwH+37fwhcFUEmgzGbrV2S6sDCFe5eq3wIZkSlZRBRnaTxqqknTRuJSjwX9A3VAkC6YZ5T4dP69ORMw2rTzD24lT7mk6QIfiIKqy0ljB2Ubt2lARjBByCBWis0CDahaXjcUvWiVIAJ6Cgz0kB43clQZfFvA7lqI/dgjMvoFeLDPIxJ3theWqCTByOnNN6oia0nQGxBfdUGrsmaeIRsaMceAQr8mm77gaUMGdptqjGDZ/VYPe+nzAjDFTaEVVdAOYV8N54yiGn4bpw7a3jKvgmLOvYR6ujxA/9UVeLAHhQuza/3B9Yc30M7S1w9/6MtHwzL6oE+LgXInyJ9KWPcp1nn1QaOONEkWiuFCOSUQ4xi9KqUHhFaFzJvtf0WcSK3WJGh1PmpCfMg46BvA42hFgUgPaHuAG5kg7m/hZ7mdh4HCKsaU3coMgFEhufSzVG3Gm5sRt8wvMKVC6iGVPFeF4KNbZlNIfY6YUOXJ+6PianflHNx44b57yNUarAqU4bsUlMCzJafZOgwzTOMYIYtIacyHkjLDHq7xOkz0hFJhId4sCOMGgb4NTGWGQC8kqrAayta8uKzNraz8O60cbNXNVHB7hv4CP2YR+oJgrDveZVnIX8k5qo5iHJ9/rcTPahjXPIWbtp6OSe4owCc9t3QQWx5ZZ4mRwsMhnOB0Y/KLUd8IQVMIqS+tsTDiesrC/bOQzQ1Xmk4HXMx02cH0ZzJfXnjdUPZu6BWsSioQXxXIDOsDQ+c/Jw5oTw/ENvVsyYCj6Z9Z0JAhxWiSZKac7V2pc556B4TnMcBxKmMy/rVz7ob7ciR4ocyDMJcBdXDRp6t247gjgHXCydz/qTSK0J5BoT7DyTQ0+DEYzocZsJlbW6n1DTUl3zELZ98NGsXUsYneb1kMzpSjYF6GPRmQZjNSiLgcg9LEqueJVwvZz7sqTgSw71uNPOuYjI7+3m+dZJBtuMK4c9fHrKLQbR/gA+VQx5ecjDETuERRqC7j2t8VkxnpJFuxbIdraQ+yaLGTnGpbiMypRDDt/zvLiU5fg4DcQV6AV/DlillTzA//bJchuJcLuhtmDz7HoXN+Ye+PJYWDIPRhJNZ2MUDIzNqeYghubhsjEx4G+0KPGKWQngoFaiBmJgZiqLYtWIMN+zYdr6j+0rwLdRsREIqxTxQjZjRZppI220nwd97GepDzxl6+YMu6HFIX8tT3lZWjVa5OII3j2mlWMCv7tibR2p6oPO0w9xSNfurICcmU6jQAwSRov2+ZI2LyCRQ2xPBXCfQK31cEb3bLCNmO3qSZG6gDUn4fTEewMvSxrIJLfzoasvCuISxWw8LL2A6Y6nJPvJ0fCm7BqTjPjJsJ9CLswTLjuuVR+nlrefF8le3M1DiBTyjRoVThHN8mNrx4iR6TRgp1y5A5yO27VcPnBL364HyZCBjjpspkNpBorQSL7agRa/Sko5vWz41dTe3vDA0+Yj3rgW38R+b+0Dr3dn5mHKBNj3MIiaa20aAp8KOejw/PRcHh2lWZS5hyCTOSkdFqN0x0cCt3MdvkJB41guM5O1OyTjBHL4oiiYmwvggBTLLFeZBbhFBrByI5uoK9BXkQ4ahgngKK3+Eln/NG9+IwKwc1GjsBRHNnIKUtFLiBmgW/Q1qQTch7WBmIKBb6FLdaXzIffmAd9I8Ge3+QT6DbRdSDw55LecbVdJAHkW7JIMhRoOtlOhWvykU7hi7kEzHuLCPUjQupAzjouQKW5TiHbuZxpuS9okRzGrlwQZhavoiDafDqIc7whLjuRoFIBDRGZ1KWYFE2UE/muVwcjxRWlE0jdOHMCNw3ztquQmsUDHD8c66CdlHhS3l5jupnylAQ+yGSPcU+Q4hPwA+lUE8HOupjqxjQmxHEfA3wclnbX7NHhBH0U5cHa73fehv0mC4tTbo4dhWruWpVFm6aRoOaHhg/6O/JkzcJVDCvlNlxa/AfzToFztQcsfAtBEYeCQsKJH1jiHGEftOtmriEvsMQfiobv3g9aPomPMDqfnshPwDZojDXS5F9oUxiVlLgd82YZwM4k84HCc6W67B0NoXh8mDdtBbtLixtXn9lYhBdEiVVqQIyzCrlWO64hgMotLGriKq5MhPcUoJ0DROpnVkEEtToCJuPn4cKlGOGREj8s0mANHnXK4B+SYkPtWUsE5+EQ6zwp4ZgI6ob9lVspilm6jSmrU3ELc4NMJTqc+wttFaJ2eKxVqOvGUQxVYwoI8Bq/rvteujc/6wBZN4Eb9Y5QbwKRIyqy+5pqWxsrtmBegHFUh3IatZdW3ghm5e/YAp5uwtHTAae1n0kty/XStQ7vf0d1cG8JMNukNbfsybWxLhQyoKUSSpzN3WEy5mWpzxVJl6SAYWzuuPq8tYYGz4jnZeznxKBOdCeqt5YiCPs/btbvjOEtOvBee3ahBWwdyCLxpSDRZFSyaOTPgCQeOXBy0NTaIuyK4W/+TiVAP/EIABknfv6t7gS6qPmGq8hA0mEVRPY1CS3dHKz2CJxIjfqqzpdOQ4LteYVwgYJ8RK2VMMbchbqlwr5yzHE/tw5CZhziaWQNpFcNpSIdgnxtR/X+q3m27VV3pGn0lDiZt+DIYBMZGDkIH0B0gtxAQmNjExjz9LmVN5/v3xWpjtjnHMiBV9epdqgPwXsv75iJ0hE6+BcSaKiAt7znoHhN7J11z9MojyhuR3KrQfqtZdk3Hi31G01cetxy0tnsKEgm+eDMxTEbMowNIrxC9ES6POORveYFw6rZjvcoh55NdAj8HnhccHBRgBhFOJD8Z1a9ckccZdCb8XpKyy71m6Ke2prZZsztgESBnulbrfjmDzjpFiueiWc5jG4PWG8Ef73ksD2AXx5z929CIn3LRQ8xaEsGnnQjlmK9SHqzwdTfqsq/bWgvA0XCh6QiCv0tKGXo/8LylCZoV2+zKOqkr8IfzCNxx9f1Sk1YMwAMGfsp6m6SD5nIkfjnq9RR+XmlPrvWw2cD+YwUv/OIApTW3WX9x+bq/1n3ppWti1SF6loPXAof5quPyCdq8xIDP5zgBDtfGZ6rKRk/luTB7onvgrwT8MBBiC7Zkjxi19wpi0KlAKA/1i7MdBPC3umt/uMMHFgP+OdPmjJL+HEiLFf6eRK2bsc973TV35ZBNZvumftmr7N/+aU45lEtta/gW7jMG3MhVD9lDfHlupyaC3wzlCzd2hCm/cRJ0Dsw9tU8y0H6gpYA0ZF5D06fhn6XJB4inVAxsTWPsgwbERkunuxm+NbueoyVLre1bE2t8fP4DndSvPFyeJGiFoq98m5ujhHSouS+L5aMOtAbes8Nj+mgc7h0t0BWBesvYDLEdnc6xqWmc9Jn6rRqzK17Da8Vuq8znDe4+vdJaHIomXX5tGY4nUvLpdHT560zvq9FYnwfmYJtYipbAefXXeUBOjlAAezHLoEVZkZTA30oyJI/Saj+A504HN5GMPe65NQH393LYqyinuE2RzsXXP+Dr2xxwpk+LdnrZPM5v63ngohLJFxkQBfV1b8YS+F8SpBwBBu0fPMY9PO+WfkG8siVoTrLPqendxG0Ztqbm6KbW1E3B7SvHqzBoPDmqCnyQ1PQv5/abOO1HbqNbTrkWNPTSYeOALkZgg9+VfdmIcbLzSP+Utn+oVv5QIZ4PduJloCdA843VCrEr4CeF2rlxdSLz28JDdQHud0v11OZ2+9JfwznCC0a9RXrPaZC0WeSFDdgmvBdPd/8cEqji6IAeAS7TuKogFJm6uVPTz1eIX0fl4qvqsAOxVKpeLpWlbhhiEnXYkjt6Jr0t/3wZSVeGQI6if15j2ZwGSVhxfc2BS54DgsSAHRH8r6+BLNqVhtgv3eSndFGgHPXgoGtkgHU1JJ3xDxzxjclvOFjktxbfnPm8fPnoPDYi5gPEcA5r+Eg1Imfk2yY3TlL4DVNTLEhMYrURDOUM4Q8ybNsqztwzbUtqfh+hA3U81jAJ3LPfEFP3oz83pWZLpsnxdVYJfhBQpmkqkpnv/nkQN75gzylHpma/3QD3CKWNcA6xCjB2Uqy9gBrjgAsHEW1AH6AO8NoxKdJ4Ta9nwKgzhXVxkEMKROvBftWaPZu49fmod6yYfGolSDqKV7aPicDXPLKdirZEMpTgYr/UTD3PgR/VFvbT55bRWH4zToyOutARItKgn9kw30oXcHz0L2WPLTmw19lyyWMSiCFdc81dwJmOh1vgFMsIeHGi9vQtRL8A92wV03nqtFdMJcSE7TUTXsxDPuEBIxZufzLN3/Aw90TMoNEVyexPh0YqONj7v1wRzrSp//zItX7IEL9JBx9ZNIWgE4GT87cqkm6NOK8gDgP/3kmDO2yxpdanFPANbLJIu7YVBd/kHK+VM+/JCvrDsgGj3y0u1CuPyJGgsdSQOYJiD1tTwoo2rEPbqWNyr2z8ZGKOCMQX4oR2Xcgb6ecoLaQEXxecLac69kvAkI0YrBV8xG24BI3staLTZW3x59l0EvtvDSUFHBuBlwnL9HUQlQOeNZKyCfo7cHILYvHd3CGAr5cUaQv03Jfqb66K9CHrCaujxAWOG6SmBqNrnpS/P9XgfdMudc+g3/HX9oWHorQvttJoV6/aEV3pmTypxt2vIu7vacizw9regFt05j6tXFUqwR+o4A6sn4WZzSFm7LClP9LnbO5RCsMVADec1JFfEl1grR6vu4CqiUhfdmqmHQK28H5XXWLuLkBbkZ8TendrgfuaNs/jir/ZmJSsT9088nqw2bGOpgiHqKid9icDnZz1sK6u7PEK/kzxDuJ4izv0OtODVShBdxPQwXZwjmVJhbfgArQ2VR4xvx15K/Cn9hSTkQ/qSUBcMGG3Jbt5lUPyRuu8Zq2shnkCLlA1ReOmQ9Km1NQoQbwHmH1p2HPEHeATG9rxbymSI7A0q1oxbE65gf16nL+2IwvDjXKTVgA+MaEOwNtX1iUnbKkecPu7ym/ewZl2PMQ7UUxRan9eWbTsAGtwzZuXriwOdrMBXfUNmsujwL04B2zazW+MYwI6s6Kr/gadCforGSjEJUw5bcJ/nhSZI3XrMN3SyuE/oO0PakA5jvWVFO1ehtaaozYEJffyr7CieE5tfwYeVNSxjFXs31Xfek3Ufp+o8uF9n3jEJcT8zRGs4bg2D9bpnQj8pBI6AA58zAZi6nvcKti7sKcfJoeNRSZv2NQ/TH+9I+r8dj3YuAJ7S6iQp8zZdvlgPUikniltvIM1b87xp0t2N9D6OKviBn4j+S7H7Hkq5JpyaWrAcwra70STBLDpq3HAf5zMMWtff/175Uelx7WN8t0WfPZzxYEMKfcH+Pte6bYYMGiX/6+XXppr3JueRHn87hDHnElZS4WmQjBJM7dcT/m2ryhqz1H2xA4xd+0tGdo+A33/V58i8D4bJ4TDrc/jzJzLzxwUCO2BX0f7zTnkBlM/AOcksQDgA+IroT4yre9YyKvU5AP01vEsPPDlJMGjP2FYz9L9dEo94RNbXnG5UlSjzJ1ysHlau+9W5jxWXpCf1EqOjCMPbD6oNeC4i6bG0gkfW1D4fpozePaAk9xSV8ZKj/Uop9H2DfAQnYv3J6Ngcxw0pPWX27M5F5rTXgbK1ZmiCRI9cWS4WUoxFfAOggmvA/5VpKH3nfXqnlI/zUyekemTFOIoj0jCIzUynVzyEGvw6xZ8DvyMyCZCjhDoDw9r+gm6cIqV2z6rUS/cae5VkfxwPV1LR/nm/hgU/kOKxs2dhPEhkdhC3zQiFsTovixUSS3Llfzzegr4B9hPXOnSPetkhbirz6N65VT81uPhcDE1VisL+SbjEF+iycuLEjSyTE+hxnJsp9TVVupsg2bYX0/s8QQ+FxDH64iNvoBjlSl/3xC7dQBbbyQMLboSuxbezylKXmv4AL85QCwOzvlMBfWz80Dux1XdTPxUgryduNHOwI0c2/Rq6dPBMzaXH9x+ZeJ2F2HyBTFsgLh0ry37TsLyXq/JNQP+cdptSTWEr1zHr1OAfvL+81nabXYqLsDD9s86UJFiU0rctgAuN8uCrXhNqrNWNLN0CBrgKRDz5Lr3lG7bg62+m1WbsxLw+cSCd7wfLHw6UzmInr/4xlHpxmUB1woBxiFV1Ag4G0VB3WV2PgCXiKbe9MgEfdY2om3Lov0pB7JvximsrSTPekmq7h24s2YqVsM5tE8qtFti7108tqvhEK86DhGGD7Ab39QLKPCVskcP4MYPc0NJQAOfRGn6PA7NyEuVz1G2ElL2twdFeJa8BRueBHCVhQQYYnRv5au6KqQuoGGd0rI1cMUXHn4QwLM6nt4ENTnH26MMSEERu/5Xs+MB34m5dbPh9U7Ap8y9rAv651SNJl9WLWeEpvJrbkHDfGcWseVws2mYbkDDl3XATW3sS+utWJh+SbbpT7rjkWUfHJyfAxyXjCQkNL0SPx+Ae20F3gZ7SsDPQmLtHzJuKwwaClvJMy16NwXOIIeLLQYylINyz7sZbMfLmrD9y00l4IRSl8BRM1PD9W26imcsCVm393gxbZpIlcr05yjUmjN8AZ0Tn0LvABQZMAl0dLRlEEMyDDr2ZOrTCgh9rzpUhgOGsv9y9W9ebuGfJjbsH7Tbb37U3m3s93sGfFo9565Ce/eUmz4d7Ql4R3SKyLfqM5vrELAMXYCrnn77k1O948OkMzAFtia7HGX3hvphOpJXvmimQvWdQ5xutK9JhOk5XNJ8lHewIVBdU9doskkHO4X9nilDTxXxRzU8VmVpBnsKPHabAldJgOl0tQ18KtIXHALusgR41vR9Cj5fNQiUOuRQB2SSzoLAVjnpF9/0gMgcvDM9ScuCXVOELvDcfbomJdjrN2CFxzrfTiPZqtXsHYbvRW+MmXOl8lGBTec92AqVF9r/2fxC3XSpQ2zVSAagv3KKpACu4tcxYrWN7AqwqNRql4ZJDH/P1M7amaUy8O7lHPsfMigXkwcLPvwhonQpnWR3sBbQFvOJxf5ah+rwOjPPgT8D76syR1XM1by01Eid9HHi7VgVbaV0ZskCfTTBb63dW8W2brq7Lc2wWQgCbT4mt1rMOzWEm2yFeBrIVurJJ9a/BXR/Avrq1ePuJsXjeWa26fsdqiG1T4hMKZtvPJpYbt3c9PnvfljxHu/mBNiIxWPlqw4982D/IAXxYY/SbLiYp5j+mh84yjZGN7JIfgD2bWj0yo+6wXu1XhXt3SNwhBKiaVno+OBYdxYnRVNgQRBfJHDrfMVF7voL2AavwLfzeBIYIqvYzX2NwKf7NjRxrGHzUyFSgk6KCFtK/tyOr+/KgEcAPwRt9flMY1OWusja2jtp/s/GOiGVTuIU9HUlJs7HdFFfs65ckqYMeIWWu9qarRJwVolFnL/+QbxR7Kz5HTBhaGib8nz7uuM4gg65Qez7As6G67C3Uru5iri1gIttVNfuSK9OjUtk2S9BaSVl2jUbAv+eR8mDx60G+/GBVf9wF9ah8/sKfFiO3PTwLI8On+CfXzkVlrk7OYfZo7HTV+0naAj/nj23wID3ptbXL5m512/TNCQOiUE7sMdS2mg+B81DBr1HQnallA9EXK44VEE9Yp0KCMCuyqpOvu5G2xQ0Bw4twD25Mz0vsJWafs1vhv8BDy0aigPubC3mIsmo1kcnGcGPEQmSFN49w/bkpGvmHExt/bDlmaNH4OZdHm6e8F3AmZbXHQcB7U4UU61CPi0ZxIa1WdSg/UpsV0wzjwDPKsfW4bZ61pTYdGjfQG8+AI9MjsuQW6mr8q3TdO8eQ0SzsI3Il+mjtv/tFYfX5pVLfGwE+mkCFCskbdLxvbRN7okXqpUg0n1aGfyesjwMfDmpLLIDjPxuqKbG5mHd7bMg36k1uTS0vzhHLmiyOKP9U3Fzb7cH3rB9cWwmId7WdrM0oNHKNbnX4XblorVFqHzipi7v1RfYYIXHJAVsMrU+M+gdimNA/iFhpcZHwEqITds+Z6DVXTlX1HRiKx2I4SIv5PzKc5CWZ+f9/AN8CvCwXUoKz+wXXDn41rAkqbhiYNcdRIKK8v6ZOvPYdNg67W72wSUjA/9pAlWUVuOpQvdVtGSKE6k4HhvOgyqcXncBNmgF0ObeIe+Bk1F+EV3qZa6ECOubnuMx+fpfz8Fz+AAusDgYmbv+xx3Haj04ygbNBB5Fvpvhn82j/VWFnxCP5oCLzyUdlo8KafvF56tocz06e+Bp2pM2D9Qwbehu67KVXxtHmvxWDfz7lPazFJxHwN9Ab+kvYLpr6hIqGPjbbmagOwnpFPgHemLTH7zTFxFZd2Lr13exZlVP2PdAOvMDW9OPiNTxt6cK7R9NiEytq+ljYadfW1qNuMf9w3COHcRW99zJ/ExbiwXvv/YKnPdZDe0ut/7ZTS8vOUrslL1iymzlg3L46k9N4Efw12PThyDts7VeyRcBbiatyfRQ7YCT8cZu04P1eAA2YQxaDrjpoeJ6bqxlwpHeg32GFQgOFloeAcZVrjgHTb1/aQfwf8Z38+5EG/AE+dvHFuJEDDyvZB3uARevavfvnnapjc33Ofg/v50jvKae1DIy9X5nLp9G61UMnruGm4om17yfZvm1vfz3XV0z2Pi3NwTTBwnrY+pVQf/xRpfwq41nzuqAN23kaOp8eZSZvtWg11LLM2coIeHTnnUqMufXuLdcBXqRF2yT5fNYMuBDAf562XzjTAFhFmBcwqpAJ2BnPyTUVW4tkQxNvSuCmIYDSsN7yQmskQe8KlmBdzvMUlq6ek3NmVaoN3n+D3ib6tQon3zcX3NYq6Mzf/xxm2HagR0d8ggUhLXYWYdtZYEd8MTGBeEkJilZkwCHm03mwPr2D9A+aDg65b3iJIPfYnVPLucQmTv2JV3bMBs/70dLY8CjMS3eX9ymP/dTnDumZzda8tifiZVQWGv3zPHPqZgS4Kjf0paP2uIhdmYfbBO4d7icgQPkSL0x4L9g5xln+kkd260t9DS1I0dnK1LgUaXYhq9n0Y5Pjc33fFB7LqTRuExZcyVYujDnck3d5tr05SbryExsMuPh83kKid8gnWciEbhvIYgmWWYqK2m2gpJyy1F1HNaoBpUjqX5xmyCPLhuKPj054p+je3GbCLAOvdsskKB79QP4ul07bJUIjyRubOBGonRmr9agwYsSsNUzWnUoRQkxaJ5KeKJiLSbCugPvL+lzfuG8zmy/kiF71CJ5Kv354IViZT57uENzs7676QA2GqO2FtZSBc31RFM3B9OtxOemjtCEtTqeYS2F1gujwOkE/5DMu3BrjunYDnIl/6cdLE+K6AG4yE3ft+VkatrZwzoPbd6s+Ktme0eK9t70s6f6HvB/ueOB/2SjwlmP7qlufWXZu0z8M/oKbH4PHJKAxkjw0Z2cqsuuf3bYgTb4r+ZRIHmRGrWMcZ4Xpta4hJiOE8CltXKSMhPoiqNJQ2wDviBP6fi+HFx8r4PWxpHMKlc/6x1g7OBltbmvCL0TxG70OjOnNrrWoUyEOQu31G9PusZqT6B9TK8WzcZ2Xw0XU0n9cSq4k4e6P1j/XNABK3MxAZ4EXGqaGt2v5XPrQki65AU65PEetDSzxfjqZQoYNSSmh7HpRy2a580Fu7EFn06HVXWp40UZW5K82z/OgX8THGK4qXWLQ6vkaEpHXQBvrACvLqYPPXA8mbrJ/STA/sbPh+mnI/hfv6+7YNmqBublQ5vVA7Hz6J/LeuYdXFOTABGv41+knx+p0DgXJt+tv+aA6PDMTdZjmUebJ/x/K2VmMDB04+PUmn7ZaWTO3KYxdeWLsy10NPWY2+gEfCujfAFOvuHRP9Dyeztf0R7WJIOwkHPQL6YHO3f3G8K8SkWqaJi2MWjFdLetyk72h5VAjFWipMSp1mTOkZTAysP/y/vaLrVuNlXIdzW7PMFfW45wAVypyAv4DsTXnONQWvMVsySgPCkYYCpwh9HUGWei/a4DeeHRZUmdBfRZb51DmQuuY8wkS8P2pfVaGiYpxIrR5FbBN3o8ao/Al6sM+EId6lYy/sMHvANsWcEuqqrwH1RPGDTBhdL9tSpMjRepaufxrHp0yX7v/JuH6eHeULljcfjyZZ8AV6gGtJYUeElIUhmjD9CkLkEt4dzfnUB3yF6NOG5x07WHfOU9Mb2JY60V1w5oqtD04qNIRecIb6gGvO4tR2rTs2M7NfCbL5sv/+vRb/pKlPY7cI/EUqafULD38mj/PLr8GzRg2kSTZeoQKze5ls50gxchPCoh1n2amU4OQ42bIt/07NLAVf7Xc8F+X/9/2py1v72Oqn6zgp+flCsz0E5daS23tJMXYu4t3MudxNo7PLffxJVlMyhT679w2Mcqbixp4pj47QE4sDCpAIsu5x4dFZWmZ8arPiU4Ws2Su22UohYYchuqaKpqWjp8+HSM7dNOcQq6q3awpMh/NgOsT77NmcDfopD6FGpHUR/iyrKTvf7JwE/OQ5IeV0kBA0yd6yvPoW+4HwCu7aohiSnj99rmX9UQOjxsbeDDbqOnQ1lIUY78JBg61SOfqJhmNtgcM4Of6coGb5cPmUcRcUFvB6cwyaUzCYiJoLmW13d5pYPa0n23CSWpGhatXHw8R8kms01/WcBwQUBrzN8p2DHv51F2zRXW+S1F5YYWzZ3qz/vB8h7NyPc0WgKTh3JCpgY5fGacnyT1Ly/bOPEG+Ku1KGZHYlCSW/yAqfyitt7no0YKTS0PmceC7Kqi8n4e3zfp2t+bYmpphxcRgYcL5fMQ/W+myciRqetgNppqEBSKXV5n5vuGYw5xFvilZ5crejS61eX4/uSrfgMMPJzYBn6b6HqYbdXba9Mph3ayrYFJMpBzNP60TqjZHJ5m1sAEPE4BG06B98lN1fcPEf7NNbufA/5lclZSCxcUbE+Mftz06WJyUIVOAAvRiSKcEAQ6xUpWxm5LY2aBBMmzCZf5rJOdsnBJQ+8Hu8np6KCdtJJU0d4VMTCVmL3iF6rD5MjYPKcBquiw3ZO1laBlIHZ8PsFeZ/61dfPBwyekLTpMo0DJrAr+AfpvI/XFUq6a0qG9Y5ZtqoCZvhAd4IOuTW5Bh9bK5i+MCtO+dc4MjwfTk44yl7paVGyL4f0tFZv7+eU7E3bPzMwKNK3ACTYsujh0bQcytj8kCAGRMbgXDmpt7rWTUwnxIu2IrnRyPw+vHne3O4nAD/PZPQfqBN8RK2tv+iMIEUn7FdPB274Z0/o8cIeN+DsvdGbuFPNiIjVgSDNkFjO9J2KZq1GDnOcE9t/Ufz1M/smrtoJE6Uo7MoDNcdNTtRzL9dzPgkaPK7OWFK8yOUUyOgc4xVTHpn9kaeYPWehInemeOpN3tCHIBPsNvOuRIZUJpi61hQPAeqNpXv1t0tzW8H7qDWzDZwXOU5MDt+JQ9Jw1I+Bbh2OIA9Up6h/AKwGftNes/pLbv3YdnBBKMWIucBHCQvZsAjyChuVlx1vmkrLsvZfNWxCJchF6b7n2T6b/iCz8+KwR4JsNBGshtANNF2C3jmZyiuZdznCH171FEAqI6aOB3k1tEShkG5U9uSl7oqAZvlW4jLWDKGB2/MqpKOn7AtzoIkXqHm1zb6EKKvBXueq8ikyvIz+C2EBYgU5yTIAbtd/Z8LAPz7ngvT7KnqcKdA8N50Q95ymNcSoiPgIPAa6UQCx45R7MLLc4AU11lOFmxagFLQBaIlA7058X00+37k1f7k8H/MQ7d+pLxRcX4v0G+IfpafKGi7bnlPxkwOQyZ95j27/iYeOaeSwi3z4Pa/vSy0/Wl0szJMe8t+1T+NtjPZUI3TLaOKUgMvv6BywX9APfO4o13hn2LO/bB/D25axVReP3lazK+CEngo/AI2GtdXwKF4i7bMP/by6M6aVLRSc9zJYNdtMn4Lxf9R5qOuBwY2ZXti+xRQqIO/AhSYu78AHK4NSsGWi92T66Mq6ZLeuIrad4stICO/XAZTZYDxXO3hli9+uuDb4nNTlitT0dZeRd1Yraym3xKb4A/8BRWVxAH8xe5ihSWmTifeqmK9dN7wGV1P7BbkBZ+EHttEQM7VcO8ZDZU0IdFTXR9g7k6JWL9cx/c4X1jozgi+ICMRIH3JxXOwtTZhZGrHa55rzSJpPKi1jfdvA34Hs+PbrbatD5D0L5gfT9s+64FIE+VmzjlsOyNGDl5wIHL9zgwfuVRKBfHLzPwOYb6gOv2NjnkFPVL0c8TOVZqBHw2K6o7s4xMfVWLul+cx/XcuitDH5TRXrlg74rW/rwm4Bjprd6u3JHvvJt9oYvlBbEZd0/Kdf7bGxRHtrD8Tl/NFoux1V/mXr/bCUfmVB2M4KHQojKBsCOlaS1je7lF/h4P3l5Jw9pb0e/9WGdTJT7uZ7Y9KrJctPCb7mLU3Ofwp6/d8gOaIZjjfCb6WlcaTJRy/5i1N+BboKV3KJsTFqGdMljjDJKtOTI4yZHlH5uUkujsvMf1YgDFfKE9a97h9tSru03YPsB9/YJMPVuKuOwy685kxahmdEW89GaViYyKxXYK1fuVasvQJ/uz6a3ZCRPeUw4xArQ3i0VQf9Mi+lUMo1MbR6Nbi+cf1TODDikb7mwKx60byxa/JxPPtjesy70wLtkxwaC8gjeo08YYNVdCL7LR+wBtn7Vbg+8n3z/1sYHMsNrYmrfQhnL/hT4I0PoVRto+rFe6+GyAC+qcNe+gVa3wc/uNbwn7/89TC54KR6PFP4Z+NlVFL3zX64qzbnOwe5HHvtfrN9+p33yk0czSzvuZrxcckd9mLlorzPzU8wsGW6v4I43iT4h1hIG8T2rAWEhdph+9pdzMUlsg40h5lTWfmVc7ZQG1wYuD+sd8wLNBKwndbbkPFyeoF26Kuo31NnmykGv/A27shq7HJMdCAAHfCiE0OCdItuuEGhZJ9kfLH6ng/qu9GRxJr8ES46pQzY85Cc2oISaGliOL6fiYvAoLoGTkQEj4H30PKLV9Ix92cZxBW2hZSrZbNoQ+OdRAi60Fl5Jm2qj36bM5GCztQSNyH3pbBY+SlsV5SNF5CbiNsvZVh/dxqMiyakjLfzcpnXMndSZT6fQenGbu7RR36zkpx4wrjnya4v/0C50wGILNb6DPYAWRdJJbeWamsKG8iH71S+6yzo1HVYdchddm6B12XM+AG9psfCsvCcfZ+q/YfiC/54FilY7YNOZHKWTB/ieBumVhMghMVsPa3kFnW56CyxgH3el0/UkvDewrb1EkzwzeapiP67zuUoFh93QBQENWPXtF8St07kj5gzpdX7oAOd8kAgUVWhqu9ueFe2ThPMbt+zE9NKA2DiraNumvTJ3lbuqbx5pZGqrQ68ceASx5nmOW5TZ+LvscHiwgDU7m5XFJAdMMbkqrzyiB+Dnj3KnXeOSqYq2NmPkVEfqq9lte8MZBPBlafowDJ8uL8jD1MQ2w/aQuViYswo+wm86ENUHPqe9vJy4JOCbXBU4yrkscuevJ3yHR1w0LuCmBTg82LLpt09WcJ+BbZ/1O+BpEuQa72ggTd7+I9NtxIH3Ar9BZ8a/aqQvJcWbnL7fcTgVZJQPGk5WbaEw09O3cv7yHLR0thTWn2dCh2TVCNZ7Ogv7oAoiJai82po4KYxq9ffnYT6KAn+nyPQHMT3U9ybfBezT5A8kMxkWJLkSbMBv1J1sCtwSYvPrTkqzkE+gowGTFOxF6ECMu8N/B/6pW+K0idTZchLls/r6nfcwYDux0nH6qtZPw58DYOxJ7qA4zbc3wtAA2kE0Hbvm9Bfzs7TfJi/byC0pBSofJyHt1EEQX/QTtIiXWf/DAdA/ps/ykQBnlsLMVFNmTufmFCUWcKmQWRzBPregAxJik8PR+u2D+8ie8+aUb6Oa6o+X/jJ9GGH/jtTqbR7rqOFsozp5zCme1YCpGAnmdmtVYLHgv1cutqSk5Jitskj1ZSWi3YMnZrCnGfAPDVgXCYrJKU4+VL49Ct78zSZQYrkTrZ3KaQ8HS2KOJoYLkmbWNHGIWTL+9HJbbc6cT2Y2pQwvFot9u3RmnzrzmolmA/HHz1xu9vyGi2k9m5lMw5w0K/c5bV8cYBXRHAHP3gE/qQyPPDqtD3FZ/85BRUkE8f0I8WaCuMe5OdsS/5zjCppiyECHtR8Nu13pQKaD49nK0g/g+Uk6+jI1jMb0zndffVPnLDM6I5qdGiGv0X5ZclKq/vbgYvmQ/X6Tuvp+jjyX9POGjcBxHQ83w/JNxWNJ0QQRVPlg9wuBfcuoPtEQmCxCd9AGSbqCr7DXXJiZlc70I7X/RkbfbcSW5Z0KgDNf0+fWLcfL5mi/g5Ww+0lgec5vLrYsiwXaJoOaT0Fisa7VdLAziS5r87W9A/5653AZlOvTE9WBEPiP24BeLAELW9WRLh0WLOLpp3Zxe7C0JC6QGuQ/Tyx7ZAMvT3H7DbbMSwubuTTS1J9IG5c5U9fUkm32tT2egjY/o9DMu4D/nhDivuY73Da14ZS9vRzs92c1+pmKk7scEsDu5FoBt6WR6kDOH3CQXSWowoqBZz9vV+DXgcz/uefQo5nVfjdU3Zk103zVJ/CjCLTDIY3SR9n/nduAnYE2HnSptMlnSb5KZykz4Ie10AfQ7KiJpwz+vs+LKaeBOpbPmYGNslxMseCtRx2MZI9vrNBpPRLYz8RO+9kHH30rhfo4OPh1x9FX7jtwTHmoQd9kw6clnbaFOBCWwuOnwi9BH+UyTNxKTFfAGC54aDVCYwr6EPxO//ZYQ5/2730m2tspGGvj8NbUWgNftFKrfPnX3fQ5A1yfwVajvOMTRcQvi/QBcbUX4vJMo0+r0ebU3uPw//3AcdKfqF+UtgxSG4nGIr5CWCpXD8RRlqTyrbJLG/SYzvopAB33qoUxOa82jdqfzGZW1nN8ClsfdBX4BTmBH37VdA+6iQelTg51jBccWg/Qr2/1ijuQ63fA8iplOMl6nNRhuja2b+YJutS8A+cb4BCve9gvwMxdg5BV98pLQ1LVfJo5Sx2BYB248stBFfDupjYKZ8P0fe6SGAetNmdGv2cKkaogCuxJYebCyQ8RpM6J2aA/yeZoGf7+NxdmNXW45ShNv2NM4skhkTlP2kbcLZ8Y+CfwkODoAq9ztmPp2Cbv8rtZgfeNMjd9c06iN7OshqPDf7Fbdr7pWe+eKf45jxOTcf/Xg4sV0vRju2UW3oFO7zMxmXH2ALrEViv/JiPgKwPNwoDLCdOnK5HVmASVzu65tUxSqD4fLmsVzRUOEVXg+yVHP+eivdc9fuQcv54V0ZVfgZuspi8Q1s2Vh7pq9OVhqu1Y4MOfyFNu0rNR3tTq/6TcP+ACXzmbCIe4nFtbpLRMMmsLNqN/wG/esIuoGOaRRhCHBv7KFXGy53YEfToQFzDGVjnYK1HODNyUFHTQmrL5lIb2lbimt418y5HaiyFJwfM24JNfqZnxZ7E7duagEUuS27IrV2Wl3Pi3zKXzl9uTyOD9kQtSlHS/5L0OMsf+Ohd6JMNjIdHnUtMkKnvTd4Lw8rk9nagyeX5fwNmPB7d9K/vbQph9VKj1MlPP1M8ts+wHec4uEZ8Q5fhfbaA5x4D4FJhZ5CWDN2TwDGueiJlLO8IyFXwnzcw0phbgfbum50Vl+lIECHTo5gq4c2CxBsaBLxhwMGO9DfxT1sP+XlG+K/vkdcexE4USB8ueqz69V736Oa5+rkz/r6C5EgT8Cvb63JvZfao/6+QDMBb8ew9vl6zY5knDMHAbfw9896K6zKkjdpcu+ah1dqWFHFiU/N1lS4R+5KDk0eUB+BnomssDCzmKaPlvVoHuGzEVIN2Kxv58ZHwCxkkelPFL1eMD+f2zfIKfH0FT5WSA5zh6VRq4OJNT9f/UcVTWbz2cTzrs0RiY/arbfCDAgZCZ1XJQETf3NIw79rXspZ+OpM+LJM/5ftNE3rUpkhI0+S1nzIX4vGM8MfMffVG0UW0RUQn56j/fk37a5RyB+ARd6KSLpKWVu+/Pg81J3mNdw16Yeai1TXg1Aod5zrkI2zC1/d3BBl8QXlw5EtTFksgI7ShP4tpK7iVPDqSXB+48XudsPKctVmaKi6Pn1MY/VZHaYphKo2ub8X2piuRCxNyfQJexfkogTvXw7hO2e/scyK8MeJjKZ4lR+gAdXTT9BHELbTJXRYJ9eoTyVz6ADyEgBP59qwr8Be/qHi2Z5yy9NmBZNZryUsu2QiThQ3tUxWTnCHQuxOSaTT/kt6eMb2qM3jKuLBX298yZeWbuYLpyQ3/nWpC/3hHUSnaAkxf13znnwZks7ODSYCkb5CqjRBN7b0me/JgcpTRGNyJ++wP8SJpea80ZEb95geAgyJw33FKI3KBRbTW0RUOT1/lh2+hPw8Fsidoyff5bQJPyejBzi7k4U4OPdkmD0PutQe2VVVP8BdidEoY161Sf9tP9HF+s0vb3oNWP52hCFdWDyalsQsCVUH3/nelF3K9ijZjNSzqY+37cnUP5Uw7AuFzig66ZAbd/QDMVho9WLvBctjjY8Ubg1xENUSwtxCqaJGmfAvdHp9KajrTzczIyO+d/OuUjDfmtCeE5ltyYXs6VPR2zYv8gwzZsXOXlMY7VSMCdzDw96UgNVikSpzH3zGO4Mocfctf/ORW4rwo9YGu+0Zhk2LFcM39YRf1fnkOq+2vdhdfz4CXwG5hpafK7NrkAfciWPg91QOPLswmlJ2MpSPjPopEd1FEbETaLyvX93FmmJsAJ1m1Qh+jIhhl0Cu9IETrs/3rcHaoIP0lP8sruLba2jK/kCyLjhEEnZWO28tU/VJz48CcWYvElwixjBNS+DXhEEPhSBCaRpxFwex0u8OeDQ5wnBa5gHa7AH/+vl44zT9RWsRByOcfp5mBj0VDNpO1fTwhHTSA90Ky0Ce0fybwncf29Mncv+RxWFvpgLOlLwZ5k4Bs6AvcEnXjKgT8ylZ4KFZvaldcdYtbPxzPCiRTlNe80YRHWIrw8c9o8q/X9DjY316HemXidx62Hnd+audTMogRG+4Ft9EXyLcacBAdbrmW/HYAHfOS/MxT7tXFumz+cj4AHrYpL6p/yjnzlHdpDXLwoxIFKIJvBHop+a85lN2e0d0GrfSl2uZ9FcmH00wJt3DNT9ys8rxy5W/G2qAoz20QtcsAOjf96fl5BJ4Ui1iTvEp+Gck8svEp7IsTGl7rnpGJb09P+AJgJ2pm0oEkltXRFGNmZGXXU9vEJdAPs5550sswG8sNB/2I0JXmvopK2r3MbQH7goQ4Pxaj2Tb/tThGWzcBAL04hcf4t3EUniL+WjMkb/ppvjGECmJESTYC3A891cZ+vzORKuLDHcRXIAo9tetaTrClfG+sVK2+mB7ldR5pl3d5l/TwLlnAzM5qL+ZTTpKhWDd+UPPOu7evVP55DJNMO3ynDLes/QeeBFgt0DNoVkcBfzfygMzJnTcmYW2hTF389WkewwaXq8PHEPh+1tbEk8JmMmb6N+2s1oFPtSHoe5pmCNk0jMwun3UGYtwRXFcTrX0wzfQZrZofVyieBfOCFPDbzV7CFPCrU66zyN0c9DT3HnEcTeJeS6hWYsgXxepQWJ4LtTW7wnYxtx7X/AG/+zhj3GyQHGfT31CVfSqcmtz8VAv3OUsd9+syHrQ0ocytd+erN8ga+YOaSdamzh/dgz7I3dR7pogZ5+V/fy22CQeORuNlQCrsPZKAeyxXi8gr/7koEAf2ZSBoCT+6l/TuXyHp4gqOytNCaDX+czZERrirqVznwCQXcsbSWonG2gK/bqY6mGV535UHrlLC+gHtJNcyXvMgeec8rzuzvk5BFHQEWxYSq2N+nIw4bnT6BU8qKIipH/3Xv8KiYda0cOzCapy5MjQE6kK/5JxVLrAp8hP32UzGnmOPiBHrnzPRPxh4baXP/HOESvrvD1P+S+e1RO41tOsmZWU9Zkfj1sM1hT1/YC4zw31UMPM+D8pquKK8d68EiW56Hf4Br6V0Mm2dtbd0U4ZmNZBaxX9biYTXhp5f3i3eCKFxpbYMvPDLBLznCN6y1OOdbXbPSIz1+3S9DPEA5WftFCu0qF/XAgVzAc/vE2metcSBR4zSUA+ZNLqyPX7L5erQ1rBMmTQ/8Kw6fhC0I4kgsOwWckGDAX4k1mpggGbOm17kocC61y/vLhvYYeIh/IwifckctZc95RYluwPgy13dwnwx1t7/zla05NV1RdNfoPWB7ej1a28XkA5ieNapTgdhtRxokKV4xZu70ylv2lZ0sgLFL3bfApkhJTL24XT5YB5yq41iZfuJcn1gkndwmZl5obrgM6dUHFp+b/Ou/ua80uVABOqLfAvdXvOn2K+iUpBbeCw85obilHWdlv+wAD4GXtjRzgcOaPj69OlZ20v6P09ny6Mw20T5oXLSaGdKgoq88sp4nkNkZ5a4KyE9d8C8s5jkb5Cnvt2+Avy//6pqOmzsN01vqqbhq6wDwIpoJFbYv16QVrAUd5XH4s8tDdRcjtxn18ypsS9NbsY7QEzgN6AQUNxTlpoukClEJGGuJyNSSYPLSsNL6NDMYTF+Ij7xH8A2pqd88Mar36fpu153fwdoVwszNiuQTYv6di/ABvDGgjkLNuH+K0edY8+QU8u9MoLVySFhyyXJE8sZCL5z/LlcC8UkmKp5uHKJc2kEc69u3Ok4enLNNrpM176VXd2gQQ+8KmtkQ2yJmqTbvuFOK0ANbfwNOHeOOWyZ3l8OTTQ6f6cskxP/lLJWAgbJAMXE0r9nSgU7YVwX87zlv+Lp31ardknmTtPWHLNRHPQLa0faLoX49dy2uTW8TsS0BLzl3sJlf/1Ejbs4k80poATb8f3kpgTTzpwBTZv+/GWpmVub+txZpt/1vvuflceK+rkZzIqk23Jo8c+enhEwhfhxT0x+Who8TIEOuP+HbOIhB4K29mVP0eJ3biJRPxTnqAX95QiK2gsK8l4N3ONN2ZVF5LcGfzBlFBjHPzDcH/olZPr+JEXwe+RnwRZ5Hm/vRSkB7zu4BfPMk+D6NgMJEC63t9MU33kCfadC0fW6nHuyzTRmRELc2LDQ1MFMmO9linoCO4E7tyoyLtqDFfhWgVY4raLNhieg4PUtngti5zVOmfkpqziFQSdkCqvMvZ8kHxkixZfqXendOeWnmUcK+LgeHfEA4yngE+G36KDvLV2VmafTE3NFemq65yyDJJOtdU/txEsnR9P7lkZkJ6P1IYVuqyLyUt/TvbpSiY40QE0y2rHt/nJkUaQT8giGwdcAKQZIz1bA/ENN7aRJBwjOb6NnMnAinA42wyeW2BbvZ+dh75YpNf+Jrnv9zGfBV0KYvrRfmdvjMCnLP7eTUMO+a5bcF+OVIAmQ0CjCAdsVjEmWDfWDO1jK5C6SQQeWEK+jsg6T9HYfo52DxU+PoOxMIg+9854W8ZI5XHp32lX94p449HB19PcWAv/zzDvzLzAn2qPt+z2OD+3w6um1Q9qQwdYyA+UsVKjvrdZo5l+VgTffSRsfjc1uBngmBs9sitH34ZxueB7r2Lz8qEaMeaCBBi5i8i4QC/pmZRgw0XVTRbD1Fdp6NPBXAViVocqOnAY9XuQK0rRlwhLmjAQ9TR8mc+1Eeer6MdSgddsVB9jyH9ivPoahiic4xxKWCOaIgY6N5XArZYfF4mFlWpZ4yiJGIIoUBfwpq2QsZ4JlMbVJr72RD25o6bTa0IfBWRHhr0d38c47IsXRuntKv+V/zB1/RpbI2NgXmfaK4SB2T51KuqVC9dLbwTejOxtChWi1pwXlG3xcmrIUNl0Wtyq8pQpXTvrEi2THRXrNhudaWYqBhrw1oUOLqV6xs03zO8z7hKVJTLuaIid8zv4X2GvSiXVQhOSk7dNMAX0SoXDrqBZTwXYZqp8Z+Q4f2Qzro2BTNBp71yCi61CtwRnfqsaWsssCv8w0bYukmL5hbmrP46GFzW/7mfdWDneRCuTklPV3VDjjjgs3s1GjLBU1OpiZJjclsTl0xn/ojRG5lejhF/bPUiUXs5Frq8Hf2wSu3hwTZHTvSOQCmAUb0wGnN3LkFYgHKej6fwznGESi8aLqfOKwjlxy4m5CAY+mQ3aXGIl9Rr55b5xyAFo6zJwHup0z9qtOauozX+YYLv7PBbDqxUFun3fZSs8edx5gCJlWge3Ajpq7qvagc9K7u2seZwueOyb7R05Gtuq9tv0uD9oADZZ2CEJ4NDMcqgWeVLgnwDV78lYtVAj4U3PIc4BtzxZulcvgsjAZy9cQKNAtaPgn3A8BB0xsOMDncNMLof2L6m5WnKHGrULfK4jmj71Y9tFbOPh3QlGb+6wZH+sXZSDlOH7h735Ag0UY/Mme5/c6zGmAdRpJkQpNzPpclW8ZTqGG/E0eE2T13CGKdWvLV/1LO3q6Zh/JYl5UVPmRBorLXLbGzjdJ/uVg2+C3EOA3vjp8V8KQ0ToLMUYXp/wyrcMhtDFxYVln/e/cUcNvvKfe72iFgqyqko9qJniwlaBsKyogUymqcf8/KUSlofYf/1RPNH3k+X6t+ThjE8hMnpq5xD/JgTNf2lFIdAU+5y07PTURi4EU2M33GB65pAMo3locTcPlTXN5JOJF0bHVluruA/q8Lciq7zCEifd1lQ2zgVtbhnQoQlwNfzl8z6O8EAUZMOUIlvHMCuvJ4WNm9YXIDvnSvUNJCnAqAue/lSjKu2zAVkwQe+dMEKj4h31fP+SlH6WJr+dN6aZjYYBcbgl5zFhMbOFzQRGif6VZw8VhJOOuUI6A65CbjpD0HviwZ/qD03fTTSHiEpIzUAxgiBT0/0GH+qVi5gT2NMCOvHLMr8NCycQnwfRTVQfaoLH3IgGOSEBFq6pgZD5kVmpnbEXyrML29s9GPwbaPZ7aUwP9DAv+9Dr2Wo+QbMD5nLiryjsCzQJP0ywujkqwvLWlh2G/+5COgBwcOqNsjpvhYRaGVufsNHkxf+nRpHGyRFYFNI3bmuOJWutQcrNbiRW2hXf2cZW3ONXo9sIJ/KCqvQvzfeRSL05WK7UR5kp+jvUOKyVFOkpv6xarYg85Z/JLiAfTkqRw52DsSmT09eI8hpMtjrn/rE36aCOzUsUNgTm7W7+E3/nmEgz5lrx7+MysZaqXA35htyblLryqaRN7pANuTB/hq5rHuSASa2Sh9wB3Zm/NoD4HWmY+OdGvwL9rh8Nzxazr8jx/i3ZxVA4cll8LM3vmrC4i4rkfY41E+8decmRwOAWYgRHuHeLnPQ96pcbrCuww1Aj0zartC0wi4bBMknzIgJdgUYeHvPKKJOC0D7Pw+uPvFzJo9Pv/9za04D8TGoWdmeN4riHfpc05IF5r+wKWZe0CY4Z42ldwvVdzcmZk3gPx9ZYOXxXKogtYG/g+cwxN1CLxp2PbULq/S3YPehPcP/2Y8eXwE3W1PPRuSSxM9HNrP3yxK4pqRQ2q3HyQEXlaoFLA9Zs+5OKMpML0mzoG8ScFjWpSe0Mpu3L2V9vtHOfr5Kfo0Mw7c2loCxrzXPSxwrY0tAvTEgT8B7wnzuL3hkJuq0U1tMfABdMhokqUxv9SdInmvr4TdgHNj/2BnztGGmKBVd6afXhN6DH9tWePKZzMgmnL/SND7644+aGJ8y9bwIQb2MGeGJABdp+V3FfNB9djHCAdnPdHULmFdW/A52WZaYeBA8TlqST1wkgdEkjV5VkJprPHJ9IBKw0+rGsBXnfl1/2VBvF4yR0s6mv5soA+s21OgdzOvjuQuH2trjiCePHLHRmmUXQnoc9CEHun0XgbZVcTvDnBq8JeNUznepYIYo3Rj5olFpsdWzf7OHPpMJ6a+AZv7MYgRgI6A0WPoluAfyuGjDHiXI36SCEUHu73gTvnANQkrtK645pWlpjrsvXNQgt+S/+VnDzYSlKwVTxI8TK+cW8KLCYNvEkmJ6df930zQ/ZPvZogbS5iOemXFBPaYmh7qpQyXLit8XDlLCjzBqgGfMjeJIS4lqQMe4Oof6aovZif72gGd299eMeUqreVYrs0deGsLOoGUqyxzC0nmtg8WK4jnoPFH7Z9YalVWvzR24oPPxQK8CPTnmtkayRB5gnGcW3wEnLngqN1VgdlPD1GBX5rIrfpkVSH5gm/wMxv9VANJaJCtuSN3wAfpWSx97WwDzuZAjCQ0NW3wfg+8YggKmoK+GGt4finarwapwPQOpWgyPVxN723ABP3CqAtFmgJ3TbiF4RsV6AN9K63PhxL8BzBxcx4lqTXwhNX0R/ctiOJgc4Sew3+bo40WEkjwg/2zWvmG0/ZWaoJwrPcH69+DRrwH/vu6d7inxZQrJkfgt0seohZ0fyIRsYnYno5Wdq+6dxtb+Jt3ragCHlcFfuOAf5i2E+9tZs4nZeRJiAMPFS5zPmiprO2zYfMddFucjepvLifwTJM7uzc137npj6N5CvELE5Tdy24P+p+Bvys/42auWeZQ4IGmJlXk20iAfJVfc4+f2/W4Jh+NblmKsofRECyE+Nshi/7VLt2ujU3M7DJznmtqCi7E+rQOjvzB+fx1XIkLUdzBoTY9IU1XdVED7la9vQfuu6vC7Q+J9C7vmHsKkfHtHYHnVYj04IP7SmOXOH9z6NqDsx1zpOPS1GTGexs4oGzCOVPRwsCm3+phuYsQ8Ao44Ll/2Hl+e2TuFNRdolXBc9BDJ9AxK4mBXQxzJiP83VhJABH0DoqbZNb/1RNRe+9JW99owO5Hl//WBpoZWSoiDLis23TlQsKNBxxyUYA7db7lMr5YFNZCjkkohskC/zR79kyBoHNm30GTtjhqnmkI/hnq191NTMUUq8HLzRl+6ahnNpYeDnRU28wGDQs4pa3Mwr50boDFZn6cj9igQ27j9rjKOHfMnGP7CfrNwyv6Al2NuFieUqupAsyvA/k6I9qduNRU2EeI257s/L7maOWsv2Zmxh0EVuBht6PtG336Vor5lkeXp6Dsbvp1UIjLB8f+YgyUM/UrgcgzRa0PmjimwO+5ydfW6av+65mHzC6L/lEziPlj++Rr72UrEZmFGOjkWwq+JDXqDo65e5Dmvh40D+gUNtH/9cCZp6wDv6KhC5xqaujeTcU25Jacavvi5n326kcEWvCfDfuVqn5ZuUgfmZYSs9al4UTPzDYzARgZtidV4CQfkoX14bPhpt8sujGx32SajxXgMqU4lvbUAk7jeg0Bd9GO9fKb2fhvLmcDDKl0NZXxdFfR7Xk2ueldEssVdyLAQ+lO2fnr373R6CYH0E/x5ALneAPbpL+10OZsimvwZV2dgZti2w/+P6LOrktRnWnDf4kP6dUeDkJAlNiEfEDOgLgGISCttCK//q3Mu+3nYK+19+zuUUhS93UnlSqFwGMy9MSabUj8e6fYzcPtIRskFwVKQL81o/LC+72tVmbnLvi/MaHM+QQPq19cQxS0gFEtYmpatuCRSUMR+HvdpUIvtbUtxeBFKoIxj/ke2Ao39LeWKXh/dG+Q6STECQ/Rng94z7gOD6/tD+7tb0HxFYd2/K6BkaIpZoMd0HzWpm4GdiC+5Fsn7VQuHb5vnATWNdmdwFuYvO2cLW+/XBzX0IHv+K1AP2G+oRMD/S7IUg04P++2jzqcn7UFiiRAeXazubn+YfaiDtb2jimzmfGRun1wU/PIJsdMoyO1IOZDHDf59JWzeevy5VTwPbwTnTkyrmx9OkfIT7l6ULPnBLPisLbXdNAkjz7h9xovR+FTjagHLXPNXV2xm22IKVwNlnVwpy5n8gZzchUDmYAGX3n0rs82I9CQUPWzZprDWpUMa/8B/utKaOtm6x+vhDhF3f5Jx8nUFL0YLuCCJwfHuuURbyXwRkr9pQHfAPGgODOMabhdzuHdkkKWdfxbu+8LeHsxrAO6V5CevUxdM6zLp+qnBOYrNzkXzDL5JKkHPAhcMIdksGwpkig1Z9vmTqu1QFzC+xo8Mx3RSIb2RYp2wRbwcT6/x2uowQeYHjjNkIicc2Tuz9cikXkgiwriWz2S+ARRmEehDUza1eCbM7d0MXhmiO0pdic3Exu3svcrDpmbuiVoBgYW5COw46Zxfve+vlPQg8zZ7gnbW8Kc8MNawuAhSP+5ypG7LAKu7SXYMGWJATyKsxXm7nmzki8qysd5AD5b1c/RUj8mxqlYt2q39eBzbv/VlXn7rzUbUGLyH0goP2QRuowplzkIfBffC9Y44GNSEYP3K+QMXCLADd+yIgW9YM86XPy0577Jm6A6uZ57OVG0f2XF30fFthFw/ZPS39weiDmkyJgXKqcN1Oj/AP/4hLeTEmiho78AL0kFvAw+FjR2b3rdW7nTOzVgB1BunoNXZXHm1RA3Kqop2c175rTAP22mxDYHvnv32HWBbwtTB+4UYpKJ+cXG9pbGUlYBOHW7FXU+JzKUTxUrYKmNQ+10k7lkR5npninHkiYQr5YiFxNnAzjUSPasuML3Ae8yLE9Aofc5kQeegJwQOWItScqTnvXK8MoXjjDo3nxRQbmBtW76+HDp/nnKAPeVvjqSAT/284EZNglVmEfTNQV9P8cyTMF7YRcXsMZTxd+1CO43uZtTvNua/sr2KZrupxibPt4eicJHuqJ/e2NqNPVlLKuKtvgkzF6D/uYuiliBPjCargdLOSJO7qmV/TtbLR3mltb2ch7bTfW/PPNeFriQwnviwfRL0pjH0+YcJliwz8d5dwdtxpng5KYoyXJTd97WV2b6RXf6VgmvPw+ohzWxMWceoHPyxMha5ndztvxdRzIxNT3en0Ud8ETCnqvYT3IE0mXpXq0tOcdJUjmtOW+ioM/M9OIgECv5v97T/re5xSJ65VOIp+B5V2nzJOu1d7RQpSxl6uPjzFq+ze7wf5+FOTAvdpOh0drUz8rOFEUqYG7j6MzcbTyPvQcj96p28wcJcZ6OSuQFz0x+KF9LD3gZ5Ss897AQKZYsc2D+2fILmPOQWs9nNfxPl+Vl25cDwThCe7b2DqeI1g7E1Whvl9b0AV7wRuEdKdSGjYUls1RUxaGXRtsNe91tHNm3HP1xZbx/pqZPjJ10MP7PlLak4uVajewd5314Z9+ncI5OLFlOu0/g4uSrHq4vCh4F5l6WR6DzPXqQiC3kNe/BET5ObPsN/tVjA7CbBTEnSp2jQ0YgV0cN2+VfLQoHazP+ItLvHOkF/vsAej1lA8yPiGcswDtMUcgCBdGLFDhKdnLU/3/+KbSvGArS8GlDPO+OLjkJrgNqmWJr5Q2P+gdIyKMxmWRISrM3Y3J433tfGDiwDnyY8e1OhImVcfUNHlyqrg1ErH9qm2Dm8Km0ky+I58C5BDUhcUTIO/6vl3ASnOM2Aj5ypU0IA9rKGYwl4zAcU0DZ/N6rnHLLJgrJB9U6lyt4m6gFlgTPA76PMLTJQ4XNXhbM8iW1VUyHKccuMuezycFmTq59ypBswbd42EFFzlFOmDl3nD+U3VulZb/39PYVI53keF8NvM/6GdZguoCuU8n2NxHwlcB8qyC+ngq8VExCvGULFeQI/mwW4SzK4g/4vmyFYUgIa5dG4DFj8jvjiZm7h1M4ve8gvJi18FwDV762vXzdHUCIF3z2JJ0JxpcE58HkVaTPxr0u5/6vuW+yUpZtjs7VrSn/Aqb7Oo88JY7xcfohwf8zofaGe47W33/3n3/zlpH/wyPl0p4Mqc1dyojPg+xlOJ9EiamvLInTPjOL+yzf+jhEh4xxlkbTmuXbU4ow4m64pKbvjusP4OfiSsM8/P86t54I77/1o3IuSxGkTz7uXbzKY4V0aep+gddhGU1OtYNY3v3xKgpOzfGACfh3ze4b4vKwBj0glswJLLfDKh3Wbx/wO5QWzPScK5X2D5K37/x5H2ILSqPZzy3SqujqkKgNSG93udhuqlC1ykLAzu2xDkx9Ko2aDkWmk+UJ0FWKxvTyiUnfcoipl5NpPhe1r3KAuMKWPOXTzyn+zYE5VYUK66BZ1WVmeJiDJoQ1pMMN+EVe9eS7dFAGsSkFTV5BI01vxFdlCnD06CO1230F8al+QfwJZwZ66xPLjnLRL0xo94wax/Sdf+8R5eBfstHU6J+4GD5dXpg6rrwHv2WDnwIdfJo6cDtgutuJ3R9AOfd0mJ8mTxGYNWO93pcrH5TVuOBrYuy0wPxKHl5zV6M/FqzLdy0dU9MyzVdtsXH/lDC1cyu8KY3S0w544V/PQjwcYA6eAk5VJF3upI/DiuDdTPi4tmEOYy9CU3+O71SH91zrlEb4mYre4xpYBrzzm7FzsUCsnl8E5pQKl3/cY/hH9Z9e7VguKyDe7D7tfIB/p36Ge+AjMJLnMckbtnyZusQMJjO2rubU4ikt/kUj7wpxHtcC5Y39vuMz54rz4Dxen4eVuapAOx5OT24jnyN0M72mKNCvCJIlpckTGFKywZxvSQ0ehYLHckqNdd21rxqeJSsQIdR/0dDriFjAt5gzrPd+7zw3DOl84EM5tAhYfn8WV4s5+JiJ5YhDXBEb3RiMdWk1Vs6BtYf9At6JKpsfz/0d9IaYs7cA1sqcWTbENJwpN7UOzvariv/Y4L/e9aN+6hjYxEnt6gL+iKKSBuDPnH9nZR0L7Y+sUKaXMMSnGTRRl7VjeGuznITsYT7qM7DD/9f7lSWM1z9fA1zaYt6GwEsH8PLvXmMrhoh3dMr1xBBo6tNV8I3xEC7gOcCi86IslM+4TySf2tQh+9KRm3OHuobJ7tzDdxnbntv/9l44fL9UsTYiXfgAnpfNv97H6TtGTWeGklP4BA6X5MT9zPRirqK5g1cLvufTqmNg4I6faKROomjturdtM++VzjYlLWF9JBsZ81LE3KEcO5yrHTa0byuY1/JC3L//q2/jIPCNELedbas4sqWLEmB23/QTS1lyYKv8NndrIXYsR4uANn064FFHgtQuY5g2wovBR8Ga+7zV1NzbTooTg1ce7x2u+ZQX6u2JZtbppaL4WVnqylmbNOjPq+z4F/AJaBt4HArep0eo6jWH9R7zgj+AneE7mL9/HuswsSVHps6Cy6P+Bd+x4A4h8PPJechuDfd/a31UgzziOHFgvFLwEJEUtsnJzs/a/4FYZfNC+udR7XPgctpz7wwfqfT+hcXyLMHzKNBH4JX++Jr9lP2rzXs158CnfAZma7Pa+e3XFkKcvuaaJ83uE+IcPpZa03/9R0cOGkRic/4BcTUEx4zy4I97HnVAxh788fbI+uWl+i3K3Qk8K3ooLj1ipf9y+mnvlee+tEwd9Ld+Yd1astMv+B5SWR4wCraO1jKZOvsmX6Ze8SIdaz06G6f89072T9y1TyXatQGhrfrlUK5S5APEWRd0y8VTWmTPesAFt/ERmOFdw+SleLgy229Tl4B/4TdTySgP+WJiEfnXP5lXla0o+Nc1e32+cIcvmOqXKPxjaocvFdk2zIWgHNDXeTDcSF5ph66ldd0oscxnYMV3vg3RvsSmd7PlWSr0grL/+1JDUtW2/40Hkja8veSj7zRO6OUR/uAuphQ+OQ1xS2J/yBxbgt/bQBzNmFZHMKAP4C/w++EttWH+iN8887hmHJ17XmZFsuev7V6Gy5IVWooRBXnUDs1lfjShKrKucWuu/Bo0UTqeC17lSFh4yxk5qdc8Cg4+DnRfWeYcEfjAvW6A/06ck3duj5szb1eNU6hcn+fh1j9as8lzRSKaSl74kvXtvrRVJm38IzSi2JZtOUjKg8Zjl5kD6e7A417TcOKVhWHd6F1m6usymQPjOJk1v3nek9Z2gTXpnE0tAqtFrJPgJ5iVOtMPPCeFvyc7hdkL4vN0LlSZcQlxq2256dllk4gCD2NXOQdbWrWYfzJBIO5hdHQUjCfQacDfa5mLwvQhVmumk5/aejoZJceGTSXu7YEincii8UQ0n9SYPHBH7BqoCDjMriK5V0664I6Dh9IfJXxPU7+3ttsPbPZI1t6lOryx6PcuzAi+H1fDp5WO6Aba2lYaMIW2UvG/Lg7awqgazK0SvFMJ4/KDC+BC9MejDO/ImHllR8balV2db825vAb2WPiIVtl7Hfw9oOnyt65ICTpp8uzBUw/16n80//oZaDt19g51k0W5BJi4/ci61tR6XbkrB0HJmINPzTjvzb1M2escns+nu+0H4Xvv4KprNfSglfx0LpL+N/YyfTwY/Rb7hQztSkY+gp+zqoB4jZgX8Ew/TSF3KVOCdDqSSC4SsacYyQXWpcML4Dm7LYB0nAZNp6rTvuizhVB0A5bfA2t9v8+yzXmGtOwqs4wmtYwU3OwnludhltjCfarbTRq3+7RI7gzYiA3edwpjR8JtmgaJzC/Avqyxwe9iRf0dsJVXu751XLmsBrbBo3rnEnu1bkc5IMxNNQTgJvAcw3HFZRroQUR/n+fLp0Oc5ONo6Y8DOHoMPAlcweF38vofq7Yvoltfmhozl/tDRtkjjzLT22eoiiQDD/i/3lXWdjjHf25HF75HiGKmUSiDNs0cWF9R+320r67gyJMOeGpXrZzzD8k8m7pkxq/ZroH3aFduWGf667YOdSaXWtpJh9LcfUxS5++b572j2z+l8wkmDjyTMw/goy6yQ5oDz5/5FDBnuoDSnCqbT4IrSqyFlMVUMTfJVIBF5iR3ERP4jOahBnyshNdK05eezX1m1sjwy6J34KdXFaB7M9w9qSeIvP7F1K0mGn0BSzlntsUHt3nCXNnjsLWJ7h3sJhqY3/RG+a7FFlUROaUAnmmAEvDyCDRL5DR9HZ1kzrv27Su/eYdfuUg64PFnqpXmtk+lRfC5ADaK1E81lq7q+1WFwJXaaF2CVTTZ5/658H7pKHCqYtuKru3MiqnNgxD82caVyPQjmfYQU9+xN4X4BPGovIlxOlH6Z61DD2KNMvcnr/D7O2WTicMc+OddVjRXoFHnQL9kyHMSs40YFgtiuVRx+ZQD6WWclNQyvQ6Ae238PDr8t49qNqTrwSW+jP8u0k0e2eqPwJXAzdsnGfCj4cl6ErNHHBynw97URXzxQWc84mmqE9MzzD3HyYuh0D53PiqHBLTUvyphPc8ck9T6PaM/0dfdBQ/gNBF/AstcQUs1YV57KkxHv2WqeaLpsKBqd18qG9OsN70Y/mzoqBgNCfB/BuzdVk0/7bgoTc1Q3VgWxKj9krP5Djr3zlv+yVycyn7qIeYGjemZFnO7RmqsHJw2PRqkq62cohH4npYFCapR5cptO4i95o4aOjPJ0zi0wF/P1NYnCVyMdfMwOe6pWL6AYd51bp2qv3tNSEz9DtAc7mUDP1I2w3fCPvBLIThxK2rOevWHyZcGHjsIqu4N43Fjeb4oiJ/ZiTm/+5JjezmuJcRlr+KX2dRT9+sg/M0XPYWfMN+8hYbtoqytlGL7ymyfNDY/pFbzVKPCQCmD6ZVAi2lMC7aWwFjcTYRCwILDsiMMEcHaHej7vzsi/+o7WDbEFzXS39oss5VqP6sHU7dJbRR41griPGfY5Ssp64hb5xBPqvcKNTytytTzEMr0aB1P5v7kqh6N/ntjQWt6iHyZvrZHV2rs2Esq9DcdvA/FsvfdwPW4gq65xMOiAf3gV9x7e/AsxyY258op+KP0Ji25GI8q+yWrRWITy6NVr15NPBEaKF8E/Ish9Z0W+lAy4P+emH5XBHz/1Az2m3tLupuPtYMw47pN+1k3XRKb/pUEPLLoyRF+90F6dDkzcK+CX8mYrBS8WWNql9gKtFXyhmpBXM1YiO488lLwQ2m9Shs8NTjp9r0/36dOtuIAt4w9Nzn4hkaTBH5O8lH/cEeVJOKPCqEL+EpE4r1dO94J+P5KBL7QQZbw2V6j91Y5tliYHJMezeAF3Yz2Do+T8cTfe7D3VwUeFcbPPtPEZRHEKGf6IBAzpU4ojdAMPERyx3sAl+xYkFnnyNQA91Jm8W+8lk+Rb8FXJViO6qsOpyus8/2ZZWvF/25gfdqNrd6xd5dadwviRlK6/gLc3klOEiIkS3uiSdCa+1O31PSrtJZFWtMht7zR9O9LI2C4nnfVgGRdXFcG61mMwAOhslOxfaRhAp+t0jOz32eIPRm2vqm/nAbtHfw8JcCcDGGb9OnjPPADR/5kapPR4roRAnyT06wQ/01PYRt46FU7umAMdKZHhXISlzum96I2OTlZ6aYOd39zYO5i5A9KuZBRkuagjxCPSLZym3IFE2aZmhHlFLwfc5JrzVufWhDDiknSfo4a59P07p3pMLdy3W/MOACLHutCUQoOEJ67rICf3+PFHQi0QQ++w3aZY8/nXn6Ze7vAMuDG+DWN/64Va14Hx/thDscQT3gt5E/eZS94WzYZkI1t9ar+9VAhl4bZ5KynPfjpGTvlK0fkd3+ehYs8mb5njj2AW/K4tXdA1wNBk9LULWOxhHdOGOi2o5z5ScFX5r26VTtglX5ywMGAht3Bz0++6vavVO/dmpaPrMcIfMXPSfye0VfgjZFgWEinTbi5i3a5L9gtb9mAfPCyM/jFAzX7Ts7d7OFQZjYF2NLTIvVEj6ujY/peb1z4nCUd5Qlftn0DoyajPaz9rX1c2XsfAP4c5g7nOyLaDxZuXNbD87+2Aw/2TmotLx6lHl33L3MnLdW4KDUXEFsvqWlvxhEGSnoeXb0Srm0Wzkdg32flTpUwOgZzhqx/fvvenuG5K7MmrcmBWdMLk5NtJRjG+Au83gHW165i2xxbm2cdzoSG+kTF5lU6fIML32dW28lxejTRbM7octXP4OEwaQr0BTwJ8U2/eWNteoWbWOcVBTY3OeK9fTM5kQdr8wLPluWW2pHVXxvgOdPjWLoSYkb/qth0oD0xtdac1G7WUuNYuXqW+VycuL+eL9uqceA/x+ydB3s59/A7bhLSfkpE8Od25smJOQtYegkxSK2gXSY3a+GdJJmNSOPgOw2n5WhP37y3Q6JBq8HPsQEvypYHofmeuOET+C8VHfnIrPbnfRfG9HnLNFoONjDa2qzYaTVoUwnfx0q7ZNd0kpZjcgeDapf2tCPhHIjLbME8GYUgAhwR8McSNwiIF9y4ciF2mhxxZrNMeIcS1un7s1LHS0xc/tcXMOzto+3boOfuKZplabdHPLacglY3QuUZT2/g/b4q1Lrw/RhGfxyYV7la/S5lfKl0s8rh7ph8kMyectIBb4/yrZVUumjMXT0wUwfTAsZGfkp548I6QuYsG57LVw5JRMF/mv7vkwTo0Tior23eMY4jRXl3juR3jVIX+OfBY38WXaLPMXCnhSG6/eb3WsCgd7aCHvcqBL+QsUFdyNpm2aDApbXVKWg1CZFLuY7zobca8AYnivuj5X00QBwZS2IGHHJGfniOcJSGzw0OyuVg+pQEf1aTh//2X7n1XDOmLIXaDevLR2olSylsc89gSYHn/nlUSi5qkKbf81eO2oX0c1sXPnhhldWruTdA2nrYgF9EWoHOS9v03p4yWiQ7w+u/eZUwE5jwemCayJxj1ZHcpE4bklGhpveuPEIxPB9Nu/7ZdH9suSYTtcDnwjOTECfgAFPMiEvj8KYKBctSXlWvPaxbbuprN/b03jO/MN6aeik/xIJIG9kwdoSBn27xyK+1tX+UTF1z3uapIJe66B8EYEFGIcTdNuRaL7XQK+iVqUOClYOupv4pEzPoK1pFgI6gq++9ZRfmRkoZABlohwIeAf8D81G7dCR7Ia6W4Nhthr+3csCjjJRThdPhX248+CIacMBUFAGzFtwy5/3Gc7LNAdaX7EiSBuYW72+txVc2aC3ZxgOujSvb31SCLOD/nodVn5oVWdzs2wXljThPs98GbBg6VQE/G+qSdaktwnJj7gc3LPHl2kanuP3K6N9HboEb7pIkjX5rYiQyMPs+9gNYagCN/GJjY2cOrFMG2tRPPoxJlbP7g7Ikor33wHb6IisqYf6mqUPMHXDJRlgPKzxrr34yB1fVEC6VQ+5NZO9EiN77G3vsLHPWL2avKxJM92cGXp4pySgS0lraNFYecI0kQ+mlwd+ncvobxM9T7bQp+MEN8EagLCzzTqVNZ2pKJaPJGSmBJ0THf0ioTu+4UcJ4EKYm6ra3ypH3lJIXRvhwKvA1B7aRXN8NPxChitq+Po0X5EJ9iV7vKU0Ijds51dMF04SDh5UlT0gT+MbtfKiIgKb/9g1cDTPAGtb/5n3sO9Jo4G62T4GGZ948ToK9yoHscJFaR2sSVVc69WXe4djsMbYRsObAX7PpvRyKGEZBNBtg8KihslRFvzZj8vYOQF2ZwxH8HgX/1XspGSancv7Vnen52NoiAp8U2T9i4Lx2fRifZKqRPpJBPRm7g6YBX4jtV+aoe16gBbTlDkyyr8K5g+/LqiJ5a2WselvkLBGg2zcctY+SJn5lmQrWCrzlEsOaPRDaSiKAHaicTW+htCtt8JtVU5g7xDBuQu+ZyYV1lp3JAajc/VKx8JmtBLyqfMcNn4ZcwM+tMOZro/HxPKIjhfGCtSZPghx4mJTpgGB8zD1I4IJ+EtTRSVXw+8nkFEdmv17fsgKvlUUsJkx/RuSdOTpWUWYL9tvHp0iDpMzYFJ570KzXnGcW/4F11vHCD6SFDrWFNgLpa0VViQN1NN2BRD7vU0uRc8dJ5swOeKgHsNcO+CEAXYhSlMQNW7rKwr3pp/DOF5Wx/sJxe8UMpXWEw6pLlqxrRWktLg18V669gyNeYK05syC2FnrJOR+BLwZK9T2ztgcKfjujinDLOwLrAC8rKw14BZ7oRkGr3/m9NMIb3FsLRPFVRErUHF+b0M7BJ3Pa4RfEgms1Gk9tWaXwQvCbEjvbh3TVxHtrhec4/KtpjcA7h7Yk9jRnI8+qLnOrGGJf8aspwIvqX40Y1TWP0277be6R0SFzWdx2Jv5QW5UiBn+j8QQ84qkBwWfgRwUxPnf90nDDuVM9/v/7NLZawW8w/S0pb88UHUqavuO8cxa6PJu66p2505mBH4Vo02WbdMU/0sr+7bHK19xjtt3TaA5I0GwwCr2qazZ52K6ZdTf+7Qjm6wt43SXic2GDvoOPPx0tWeLQft9rI+k4dWcRQuwhNu/bEjwTpZ1a6vGP6Zfl0jCJ4Hto4uinZHtYp7PpN3ESps5kSCw+oig19/RMLe9+Ytgy+VLMO9gyKzsk5chev/oldJAxz9TuOgjmCSW2VKLkBHOQ5JEtDbfnoe2zKN0A03SnSEUs0n5l6znlyQviLmc0WxrGrYr/sWqdPWtKCmbZ5XlYvNqx33tEhxPMU8N9MA/D2uwdBMl0Am0SMONhDdkl7ZdmbSnwVN+g9EkYas9h48D8mk8hf5g847rIXhCjXqpThuetM09fwMCFCpdrPeLj71oeW4h5Clc9tkQMns+ZQKFJD/NH8Bjo8rJdVNce0w5z8KkOE3YI2uClXQt+YkJn0I0m4rOpD1CP06GxtGtqbQJdrvDV40z/5rRf6kCHxFW4HLnOXB3jQbYk9LxaPG/nQEfKShwWgJ5wU19oWhtgfwlxARw+a+LsmbrJq9Tly9QOEoFi8N0vjdVO5x5pGexN/d+3Vu4VIt/p8Gl6C77SQe7Lwe4UzHnK7Kti3k3RDJimf56Fl2MnaU3dWGDXG/x7pyAmV6bWczwtpraYEMtBIn0h//qZEAQ/42Bh/3eecnfyLn3xDl9gzvwo/mdJXT6kRWIDA/7UoLWl9nMVWqbfc9iEe+dogz8KkEMD8zsN6DTRRyddT+Ff8HntiSIfngcd8bpfQE+ABXn1zuFsKHzGv7NsFOEBMaqBmwdyxf3nQ/GrI3SypuGnfXDIq7aet9plL2bD+6Fsk8eTQ0ViYWthKVUOeN8B9G4DXLXC+lnYqF+l9cvzm5rhCBgfvD+aypG4DccBxDGrcVRcDfyEGU4qzQ8yTDfMbSl4g8c5nkxtkB9B9Q10+ps74CWju3UeGlicaKFMzXUoCwixDwna/N9zRZiBP+/lLh/1hoql5OF0SYelIjG68FD6tWWbXEymBlLUAph4VSIb/ePRKLCYQCNkQVHii35CdUxGivgRNH6iWt5rmD/AL+/z5R1z/QC8Dco5OYkBP2uNeCkIa5ju8kJdaW+YFH+Z+t5VhAWOdC+HrXdw1C0Pkx2MV1ENpXs2++xUzTTQHwrJvQrBJcRkZ/o1//dZWjGUwTN8pQ7aZFSbWkKSuKBXMQdPhz5ouACTo5GN7YRHv+DCTut+SeB5p1qoRPbYV1abiU5feKHcGnCtdv66GFiRse2X6tF7D9bUETLnDd941TNB/sQcUIvB1nwlurJlSospw5E0Z15uFfy98XC2RdDcqBN6MCKW1G0pgnbICuWDB9kpR+Yp1Z2ITF9B65Gzz/eZL8xXOZ3C7Z6YfyLl5wKYFsaZIJjsprBvgNyjxR/1wK+yAJB0tr4a25ZYmsIbBV7Fsu7Y4/iaTS/0D8Xaex2ED+L+yz3gph/K25vnO9OLbPo4x+2OdplVdyhTbrtCjF0UW2A8WxhN2Ta9fYFxM70SsjRAKw8bTyKyVFFow3s9gC+0z8NWwFy08sLkQc5XoVuvjn570R65tYE1b+qyJD7V6mF6+lBBHuBrcuK0ZUPbbwIaZHI6zgJNaTgdKy6PTdSa3KsrBdZnsYT1pWGOyzvMl1c+4B1wPUT+BVTht+8SvDMFhgMYgavvow2OdFhuuPNfGFiQBeENxnfA/WYlSJn8pYfoZFcyb5cOCcsG8G4I1kUowSPwB3gDyoEteUDuxNm8KuTbwBPvOI8zq3lWI9oR4BXgW78a7DvoT0xjP2Kr3NDRnEMkB8Un8EFt1Ni6Zdb0DawaVxB7a5bsTRZHysmPiskpRRMCz2f65n2zFTNeoHd+7/MUMxs8xcrcidEYPaueeymwNOWZTW0N2meqBLasZlOlXvPAxuSiImslQfporL8PZW1t0x+26vBXGmow9uhy2n0Cx+kN8Nod9Oi9z1YeV+XVu+0eA6cfncmWgoPnVZU51yXh0+bRNm5C8iCjqTuTvGSEL6bmJYxXVkXWgu02P7gMPi9pz1q5xPVflZX0tZXcZTERGSXvO+C72vIucpVVA7HlPJDuRHXK2fLDI4j4q7JyrR8laAGMhS4pzsBbuRii85m3hzRiS9oxx+RjnI0WBdJLL/dnM3yussgeJqv6rPV7v/eCV/SsB3LhQ/KqdXMTHTgSru6Slg9YW3cl7s9y2C9YTB/A/Q/a7Z/VsLdT+D0VYCc1VVIczcEjpSnbImWFjtSmbkjCGgcsl/3eI5ovqZ0+TE3axpVf505/s/7+TMUMkTV0JfOALZYDHeX+RH1dg1c6OLYFTHPkHHTfxjuOpiP4+rFmqoSIY+o7n6qQSObMeY5Mbdrf/A2fuZg3fVIoG615b3KfVJRZoBeI3CAm0EzMVw7egQ7qzjjoZz8LUkxuHW3ZmUtBhsXNjJ6J2cpossAaJrDuTzzET2JLTnr97jeKjTcgYpG5aA95oEqmYY0O8z2NSATjdsn767OyFvA/mJbAS+CJPBX8tU8CP1mQfDWrX2R2aZu6BWVP8JnNwGGNC/FwlOGEqxi/+zssEAq6GrFXNnjB0VEw2SbB++QLOPGG+Z+1ZldwUH/XE0d5TcMN+P+CDK1Utv9xAD/TDF5Xcn9odvMHdvubiPU3zDOfUZ5mWkdiaH9ziRvRwuekDxZt+0rLqww4JaO6YI2flakI3JOQu21sakyDxosTe3rlgF/YQRX4Q1/FamNqnsN8XBsu79RRz9wFMQQfAlSA+fCbZ4756LfnCB9lHIJmlOArfDu1lgm8xqVa4butxAaejkB3LtSd1pQlx9oJb6rPgPv3wFutVrp1WBeauiz/8hqaITR9WC7w/65q/c0/dBtLhRnQl+m/XQ6md+Z9lf3mcXSJqc3hcJ49zyMWakiWvMOgCRuYi9mmdp4bFcmffEStclqYiTIhdlumK6kw/evIqDE1ftwT8t95epqZ3PwA78/g308M3yE2TKnV0oz6WSW2Vyr2Xm2pzNRrAf9qyUJaIrSved+egHVl2ScPzkIPdAee969Tw2QtQedyhxeZq2JzL+K/z1rAY2gR4wtb/Wtuq3uDdNtEiZuJbSRd/GgE/8k6U4dS/lePSA4i/nvDA4wPSr55gHHToRdlywoc+pJWK87M1BdeNKNtnLv4N5c4HZHLLVh7hZpyR1Ywrh7t4bNHZikKXsXRoJfZq2LqVfP9BtZ0VHGNlNAVhvVIqN6Bzt/gLaeNk3yJjhzgd/I6vr5ShPeEtu/ecDeI+fDnfCQ6CWk4f0ihZEMlcLt9qAV3GzfxiLB9kwPMAx5x8CrAookc21veIx8L70faxrfZK+GmR4IiuE8Yp3iuuj+3PEbvXJGUg+bkKx9oZB/SgWxKd8IkBP5fk4Rof5Cjvz9FHB9fW6I6Mp5Ml+wxeTXOMrF8mwqNLOCMpXHa8LjqD7Gbzc964G8+6GBX5u9834WB2LORYdunLtmYM6Hc+VzS0EtgLZ1M/n3df3rSsmxYxx4f/9wExQUo86PpypV1pg+FBZ4DdCz+lytjnSlw/Zh54DMPpla0LJI3H77KQq/AgSeIh63pO1cNCD7fu1cB2+CB7IAbT6bPcW72e5C595vCZ05MjWwhPTe9Wi3STw/4WytS4BsOiAd8KxmV1bmH98km/avLAfxfJ11gfYO5awNubX3u2KTs/rq50y6pvfeAuSdCkzlftZvGvgVrok1fM2MUW3Vg8hRhbiL/JqPpduKTOV+UpEs464DJ9W+txRbYKKkjsE4s3fBQncyZS2r/eQGDDqmtjqpLbAq8Brr3Aay3mH5w6YjtNICxD/iDg/c5D1PJremVuqCjAbB4uF9kNIc53XugbW+O+gAGnXMqM9XP1dHcVafyQ6B2EKMCRkEVt1XYBLpNGRmIlmuKTB3odGExujIGGlP8eZmct9yc73XJAbPrDeL3rda4M7EGa/LeSxnyEOZL2B4PDlvNPaZyTfqjxdyjQ+5VnMSnyHpibWoCzjLr/lp0DF/cQj6zlhehci8Qt5kmB6z5kaM/KzH9a1F5q4YZOC+1VNy+58Y3udydE2uemUAb0HjWBNnmYP99nJH/deKgsT0fgeO+0ph5p4LrWk8a9MPcASRSZHZjy43qP91TRGxgtvsZ4UIN+1Xm29j8jIq271wRU2fpp7Kepp/xAPxwOLPMIsxe8oCtNcQ/ls9Pae4CxMqcZxbUas09zSVjM6pGn4ho1iSUXsVR31xMHtnip2OSV85cqML3Kcred/a/hSamj0hSreEzXyF+9sgGxj7VIcqlmyDi2DspdM5E7wEHmqr+T/BmVca2F/b/ZwEcX+5u6jxvpzAZRQjMYqMTvNskD68r/72vBz/Degd8a16Kqwfr+dWMEwLt7wkvN5jLEOJ4nOdzR3ZbAfHNBRaPjk5v0ZAtQqAReDKqwM401kL/qxMiYM04OJagS8xVNFve+9jngL8wzOnU7G2OeAfPSHNrm58CvqcsSaQdWsAVMA7awxbviJjHc5fQjHnyHJiaIPeFDHxsevhzLsc82lpVuPhsaF81xCLpIP/tzRXTvBkWD+L0j/FPNZNe6bTpufv7oAzWrpWcGhdY1/FAif6+a0E/U3MHAvwfZ8BZbBm5+/dBVrwzfd/NvRPQ/y/s8ou0k937s8B/3FPwfs2qC2BHU0c/lsOy8lh24BNkuqrX0fZ/zvoPxCEcnPPtSFZTJy2ZzF5b06cbcy5URVtKzPez7OEcT6b2hV+Ba6nDv++50cF8QAw0q9LtScTqznmrIf48VFS+SrfdNRDIyYjWVPRLM2K/FugunW0P+s+wpXZVl2AZagG6SMF7HLG1lfWQzCSQuo791PQ9fe/BksH0MJP4FEr/X72h19aCdZ+ygLt57JueuRUOLSd31R48A0n13mPcf4BvG7MhA3+W3mjQr/XqV02YHDhCSV5MpmbdrTJ7ruPvXekv4xWB+X8EM+WO0CAuW25uiCt3coB9e9n5CFgqgnm54EHbuCekRnKoXX2rO6PR0qNimyhLS4jvfjlsv2oHIpuDSVqA/2U2f/NhHWKHaxmrDm0UN3W6Yd2z69P01JIumioGmhP38I71nEN8hrH7AIaEiNHOp+DPrbL1DubVv7uI2UAIH5VfaXRqLE3Y5X5rxO9ZdlxdPpcKXR95gAaY325V6BjWwFPFUy4HO0w7/Tpa2e1o2Ql7fXqn/PNGUPuRusw7WuWT9ogczXy7bA9Ka4u7skyHq8sCYuNYf8iCv/1X3+jJZfBKYQ4fRL/9xjas55XD3EZuNpKch55Pw+nFo3DJEbbAZ31gZwrSzj+Kjmdq9YHZpwd2lVWHXphq/9IwklZIT/Dz4Nv+vvc3YjKGrmCg9/n9SYU3wprPWa/MfWdf9XahwlYCs1MxkKxafXOeeeLClscV56dCJWkvEXiNALz2UnIE89feU6dZlH1dVYToWXjFO0blQsKfJaIJ9ibH+UBRgjMx2RTiedYrWFfTZO58KU0iBrxyXMGL9/xZ6t5lGvs50z7ut85ZtI4Y5Ue6+nPa/bErmEPE2eZNv3+zzUP0iZMOWyuNJaVUC9Dib+LgHcSIpelwWWoys8HU2A6fEA8ZuXzC21pE6pBWMN4fHGkxLlPSo03jwhqkELf7xmOW9zQkj63wXYvbwR0oP/dl5fBvKkzOZAlkjMpc+8zsd8JanQ6mL2jfWqWYN9xNnOqytY5rv2aX7XAukufR2dzSQt5ziEcsXJjUUyQRCjn4JPDgb/26EKDtakgkd7JHam7GMAyfCfG/T4YGvAv4RM2R75TuH/AmywE4/5a6+ktF11c94jS30QH+Sbnr44MTPrKu5SVrNwJhr4I3wPr0fdY2EOA7JVq3vmxNX+5DbmqK9nc3M3UdX/cXtSddUx/WZv/KbWCOCF24bgvKbI1XdTRaKxgGXbYHDL4bs6cNLFHyEIWK2VRZybvmzBGYPcl4+525sJ567Gb91of33MqCHDKebiDWnDB4HhFOtCr8KLMx6JXZW7U3ufh8GaZOmXxUg17yvtlUFudM9wuNOGi9OcPC7/F6lWZ/F/Sz6SdKXHzHwAhHN7QbBNNhBB4DXkp3Wwr/cMLRLo9I38TtIDsNcebvooRXHVYfsYJjBusKh5jkkTbn0l/c1Byy9u/1VVBn3ilnq4mVeJSDY+nV4xwx0FW8E/q6wBz5Vm5CT7xxqgjIFiVtyZKnCjnNHXKo3NDJwCuk1ueGBHqXRpsH6dvv3JkGwAPKgfHeeZXERV3e9UsNHluKxNxrc/IgmYGrRUWbVa1/bRHIpBl9+LtA7SD2c/g+bEDgOZFb2SRpCvUtI/lgdnKp1yTPIzXDGB54Pz+56XT03oONnjasJwfiqwWc2Qsug0wQOx2SjoXay8TVAV/Swdp8lEW71C6zKG+8c4Q+sMXWPJwRtxYn01OYhqZCWPkiQXJVrs4bFrrwnL/1oyrh3TJKijrgOejikrPJ5gNuJcXXzEqK0mpXbEG04+CTGNvA2s3Aq2xOoektkSxHGA/QiL2C98sGk7fufYtiup4p9ytmeknwt4d1TG+d2k10uvbLiZIfNeBMAQOlDMaOKh+/5qISGXgEbpeD7dQaWCM2NY6nvFnhZy+fEA/KG0XMkeFWAtdPWUHMHYaN1MkjjeQ7Rt2otc1woL/PYXbLBntgQtpNj4Km90rQlB8c/oX5bPqFwJg6n1Ym8JGhdiaDt+RW+yOtZUx1slRUjg04Wwz8bHqH0gJFmCVuOeB3/oaT98vjPJJbavZnNEZpoMxdnJY7SXEqZHp09+4B4u0Jtda/fRAG3tmZaWUlFev8w6nwgRNJykN7rrlKBecXBmqcjn6QwzyDsXh7B08KkF5LW5Uljxms+Rr4gPWWxcP5i3Ee1JZEaQT87bRJWajeVDdTLq6AO2PCPEuMPnBWsud2uGFjG+SDksxZRlLIb1WoFDzk+84+eOr7iiO9Ylf/HJzrA8bbOgsdpw5oAGcPWvilGrYpjRbvBN+L2Aidgwy+gakd+vnAejoeVyUhDpwU8za0M7WW/R6buyvO3uZr8q57sJH/7sI/3RNVxdGZnsLUxHQz5yTYA3yAcwQulTClchjj5vK5AcJzGHhacDtpFagA2KgkQ+litzSaVR5fnzZ4+Pasr5ujoyGOveuK3G9ElBBrJ32Okl5G7JGDjph993LEsmI2cJbnMIdoZiFRRQmqo/ZALtuQregBMVaUzjYC7T8c3NarncwSwxbVod6cw+vtaBPT3/69vqS5q4uZPeSD3me2DFiBfnDnfwg9BWzkcSPaQMZ/XjWbZOYk36XpUe/wHDjC3Lk61AHeS7F5NFSNTdBWjYMC0fmXmk8vSRtXiHef4nk+B2gPnDs3kb0cXP8mCu2C/z02AbLrtXEZM/XdcQUMeWP21NHX5yIGlagerbmWLxUoXBYmX3VjH6zerVze0t4TB1v9lJzdTtT/X9+lyMRO0G5LEsWJyAOf1M7yQ2NFRaBfLAhfwPnfuJCvbPR9eF8fMnwuzWvuIIaIZmgTNbYb4Gn7RPUM2pLnQ7PmncmXtFkVbt93wC8stJYmtO+8S15VnC1pdF8qN8m5zuDtIw7PI2jUWzDXgZ21x2JcZLrcgB/2S92spEueNfAHrIcSvNsJF0lB3f0tpfJGVkWlw9/7h8eKp8+SspUJ+3GmQNIFL8q+tWHtHIlQL15MhDqmnu+UZbQNYc3bFbu/4P+PTcE/GmBHUShzz/cLvMFeOfoqmC4yGxjHwUHueO86gUfwFx53m8X0166Q7/Ic+IL6I8T4e2X7z5zNUUmB652WgF9AbLAP3PJWYOueC/2dFe2Eg8wWur+lGrNSJ1/c1aEoSFeHM5Vavfs8eqDVmBSgw0LxZs0sYJPvvACvgZJKDbabm1whxAPGpwB0xM44iZXdOMBQkrLmpVz/XoeyM/2Hs6JZz/C+Ra83DZKncw+xofPf/ovTSMN7kAj8omR2m5t8ehL4jxP3RbbyvUKJRSLgZ6SPlYMe4HkXU/+FC5mWXO/AK3jgi5Zz8ffBQ+kQV3VZfrdgfVqg4zPl7Tvvy0kF2ZwEf/JxwufelmTlNnDc13lM7Uokcxpu71zMiLHkVEFkY2P5wpY3kwg8bYBJJZ5LBuNSDqhVDJWmtkJtQ8x/bWH98Dv4inc+wAv0vQdMhrjcQFxS5lzSpbBOjm5546MGt8RNjeNBrXJRhRzUkPCGy8ys3+PKf9LeuwqOIlPfMw3+66ExbNZUq/y8+3Rq6/MdD23SkyBfNc5d4GfgbxyhHfgCkIbQUoV/gDGmXPBYDMB+dO/VBeK5OwkiMAHetGtneyBiikwOPKeokNY85QOmKU/ac8FfDdPvOL/BQ3uouDqeI52Z3qVKZ+uJyi81yE12mYFh0oX0yw7Yvaqi/bMcWnh3ajqH+EeuaCotbM69GWjoN7fUyZyV5r09qT6JYBb58CZ+9xywDb7G3duZBbEZ8ZQPCDx4ueaRdyPc/zo6/3pWPxpHHoGxNjxsp9wCoLX03FjopIR9z7twhc9dmanxb5NcRnwytVMrmM+mj+7vngPrV15kHjX5RmFrSl7JkrYkY/MIsfWGuR8zngTNKs3degf+fSdN/a//rwUyZoUiaiVfxPpcM+5bAL1W6cx3uuo+Mz3OB+vtYcOj3Sa52L5kZPyQbLElf8Ab/FDw8mbPJ0eIi932O7PKlcTpi8D6gHGdlKn3v+pIgq8zfeOyAVnSwRlo48pWsgPD6JwHdMp/z4nmU+Mico4nKbRPgemepev3uQ06EuICfDljKDE9gHJe8B23NnbZezuzz0d321PFyZfpQQj+x6pCdcw1PyrW2Jgyl5gem/Yf62D/3ofdmbWAO5IenZmUgmeSg0a5MklHbfNC69pU3AJvxpgeeOCHoBuwLpIKB6TMLfthngG8JPCzP8J6MP1WLPBCV4r6JzNx/3/5AMVpN4M2cSvV8uMk/j5FZKNztJgzPuBFXhCXEBaSr9w1uR9XWHdk4a8tVmvqgU7lSvBDxTyIm6E5+72ZOy4QvxAV1otTbNPutz7ABd5vIF3SZiy5ZsNyr/r0VQu+q5z7DeL0CTRUyxDloHsvDp4pp/6jAd3NOL+BH7IOrqmpudzSHn+Brz4x8IKmnqVCMlOuAnhC/6tlOiqL93ZKRnQQMcQWhzzB28z1AO+foYHaaj6szMnExgJ/9HF0PFMDxKFOupER4lW0Bd5SQRq1k4x6h0ZtVdrYp0Vj6l6g2k7etdNtal9vdCQzxLihBhcowmUnC3kCr/9B4f2fi34BxaNHN1saU9eXoxewN8WOJ9LLXApkamo0D9BEQmxm6tR0IjT61R5Ag2Q2/I5XeuZozHsvgXeA8jW7ndkdfh69YDYF0lluR1faKppfJftr8j9hXKalZEtUMlMbI3GB6yLB1EVoc/9Tgg6Y+zCYQIy1S+tq5/Hf9z7bXkTKriz7eHSVqSfSpxAScgtVTW+7BJ5FCIVNjSrF5jv40YMEnsKR1yrTGzqcE1GgfW23D5PbKsT91oxYgF95cGu+Y6vZKNa/vYOtQDcoI9jUdBPRUsFKfcF6ybNBxbluozQObRH7tOK+zSxcVk7/qNgUAdevpJ/A6OpIhEmYFXoHsTaFcevUCHNkmNxzJyd41799RjAwSgYPnHHMWZ8A9aOrhDVxEuAsIz6D9l+FgD+3tiXTpcndD4QAX+ioYzNsiRzkNR/B5/XyREzdz/66ACv/u0PewDPJ/u2JZkYoOsF6Bh4kJ+b6PHWupk6/rqIlrFf/i0R/rZKpJ4zBj3GNlCkNnshmRX/j1nZQtHfT19auI2B6Bs9HTZ/HhYCvHehq7pu/6xHdH7VLLkeHLPmA4sZtfcHII4/Qhrvhmhaoq/vJS92/j8NKcuDzL/ALNon+9Si8Zr2EWdjAPIL3CnPguLYbbLVOamrQxEqmEXbq3n6f6+3OnN8b8GXEnWYWqwx05SLYLGpu6jOTuDJ3HWLwUTZoNEIjeOvhFKDAtPWrRr1n7qRV37/KfvM6CQ3fTVP4HRs45otyc47+26f4IbvUI6YHZKHWqtdBTsnAgMEyBzgksu+wJmYBnEbZMteh/YK5kDTOdsjcJDF3uWsLFLBHHaylsnZmVEIUbWxSQRzaV/18L/+3twxahMPMMrVz2o0YucmDuKtwngiD1Sm2abm2LxziOdf6DhpumTrZTdcOEMerNLy/Umd7A76xZOy/MMRQGiF8cHlSUX6XXK0UpW/emICpInhvLazZsqH6p0FkJro3vQdXc9bHO9QLpEzXcvBp5Ag6leZW0tJw3jFrhrmy7Ms+mQVvJR7bkiD+SIETc8uT1JJextv3PtsDmNitbe3XLt9QN3Ubnpo8H4gn4CEGKY4WvqcdvtQIC+kmpcm/EEVrncT2RN3eInySxEIl5VJmwGupwyfO8FWaGsAR/0qd5P0OCRmmriqupt9ADprs0xCRSpMUfD04E3OnkH9RF3smBqsVExVPvgJvAfG/SHs+m/w1LBaHaXN3ZIprqovS3S9MZLeU67IevHfObcRH0NUQ3cy9n3Nv6s1O93OXnIjVrjzEnbSzhxpUamp8CY03EKN8Ebez6fkI3uzeRKhorGYFvf4+X+63rDfFo3EIz7uraXOrrfd9ormkMRkrW02YTVMu+lc9+h6PgBk6MjQCXYBFLrkubfg7JXgDUYXykQ9tmxd+kPX7zWHVQy1aChz5PCEEmm25qUYPYnOU98gjiPzed4DxbAWD8WE4rnugXMvr02iLUiZN3U7Ta2tnuJIB32aG3YUqynEPWpas3EpMPZHE3F/CMRrNPYUm8vbVqiUZQ4uPiYmh77oH1zLfdnKUR67TB2PbO+HtF/yd5u7ZCejVU5Z3r62tuQdsejaV1doujCn4xD9OOuzBwyI7LSZZhQQxmM8NUDkRM04Hc26kHGz/ngW4NdcvytpZ0vApXW2OCglfywdHqVM6Jh9n74DmOJk5b4o+PRFfn6TD8Nk+q0O0a4DRK4giROMv3hOCe9mBr3qmQn1kNAnyfvuuv7HDwIcKkal22rGEz8ss08fE3JdAhFv4SbsklbS/sYKktYWeppcFDxTED/Y8hcmPtPabdE0XmcN7z7fftWNqOEwz8P4xZWQ0dXHfe5WV3Zh6RUZnLWXDnAjx2IR8B3POOwN3NiYuDcBvPX8KrTo8TKKKVQB/fmH901LAO+dw2qsQPQWSlcmTOPdq939MnWtzo7zSrv8SB5MafxwMAmMjB6ED6BsgVzAITGxiY379bs3zOmuvVVPPZCpxQGp1X7fU6oY1NNbwdzz81k7Pzpc5A5/+BL7LWSd16uINdaYldxKmQtVxx/Rx+zJ3QOV5WI45MFrJwdcO2CO2OqagKCFMWTmsnsbCmnd6bWAMRLf3SD9/lNa7nt4M4zeZfeuVsNbKtLm1NFVsUGMaJNc8bF4127+IJiE3OQjsvoAe8jmaHNAgPzlvRTNmq8jn7ya63nI0IbB9q0LkqMydMatdeL9957N11EkwsScXQxwuC1ifoT6WbnID7lo4/++ssx6mKw7APnkGcfHP4/Da7k1/nFNU3o6OfNc3T2WUOPw1JyXbmiQz9yTQJIN33/a7VQ3Xm0JqSQW3QYHbON/uwfdZ/3pDmvynYbPJ1/J2ChFwieWpfDtURm8OcpeL8gb+5FGbu/rO9AKNbCv65Spgx8PaatGp8gQ09vYbiivf3Otgpvc6QwEwmVnvI3MW08MnK/vpTiNyh+/rwSY1dsHnQcTCHXo2Izd3Cvty6I3P/T5r4nC3Bw6ezB17WPfLJK3lt4ZJ1oc22PetYvMi+dfmFOArZhnwibcHn2fDeImG+kkVge/s5Q/oqhY4eDl3+lGP8pnH5evobJbjmt5OgkzAmJ7qiVYhH1k+M4hRv/kAhxUdacg8ucqgofxJKHvwGHWqXww/p8DlVDpEnCJvzs1+ii07UyK9DplFbd1xWDNsJDhFuAXfY8M79aBRTd615lw/z5F8532JdPRNb/hV9G1wCvXAjH4fkMtdYEFL8ZyjhIjQAr2FMo3XU7gFnz6jegX2+terMDnUDDgZ9A38W1rDvIGuMLXuLlWAytwl77X85CO6wx8H3uUkgaQyrr3S8kBM6l1jzYsYdFA74ZKPcqRxciAWiSrQByoKFxwn47lrddUpTWP/qTi/5NyHtY4r0Oy5KJKxiX7rfRHlYrAnUKcF/iQFn88BfoiYhLTgT+oQUx/Ny5HemZp6YMJUBPJ0irlPTd4ijCPY/eYUpg+wwwMVHjtad9f0GcMrT8uBb867+1sv26aeVVmELzYmL2bstwBCAcWbct9rXHzPbJ7hNRmVw7WyyofSjcnh63KA4KprJ+aUFlkb4EdgRDGBn9t7oIHvEv1dMW+X2pqG95kURT7Kd1svh+cDb+cc197U4/hQNhqw8/U4rv5w2t1dZiHcOMvnwfXdamj9CuIi6FokAnWsrP0zBT7P+9mv7L2reu9T8YQJLfvKWqbftWzrQDkesGTScvevA7xR5TYH76bstG/NHf2ZaubxUHfEbl8wrwfCpiNncw48eWQI33KWfP6rc1lA2O00O3GgKfblsMt2FmPy3ktZuKs+mxFVmcApzMVyFnMHfOjy0HtRO3SawuzhYsEFT8Gzgn/Z6qZPHBGRnPXywKz0mXdoxxlpTV+TTPx5wjoUeYxisuoFtOV7vubaQXMzhC/4szbxZM5InsSZq7JrOQnb28EqbyKc5wr4tHb4o1z/3XEYsJXZwMQdsVKXo/Zoeg/9uxcUMOvffkuhPdEnT9pv3/sblKw+hRhLgd9veXS3sgFfmdhS0LAit9TAbG6dUWaTnudVgUbwVdEZ7A38alePPGtiYFYXRSVou6zgoO8gqlPTY8/2MhsVZOXv+0Q2Y5JS0A91hH9YBzbI/U8Z6SxlsMb6pSoHb+VUmtomMbBgQMWEzmG4qP7rlXXqpujeY9Fseq8naVA6vNAx7+cW7P2aDaA/kXzrFIDYlpS6vdau6bEK/NgTAWP4g1Grsw5IP/JKk9sv+/nK7cylLtpUvJ1pPOHU2pqe7a6yfVNnA2LlEpxiUx82OaYxSWBMbqZ24+89KcfcpWhH0Nc468LVMJtA5bO53B/lSORpN4O2Ux/w90cKfAQ8MeXWc6NEe6joF3A+tmHMCfiLjRpSK39tc2AWVBVklzHuyk7/7qWY+oinAp3yCDg7SE4cKQF0/VNHy0cd7N1sMHVrt3tJ8R3/u+sx+RAfB9lnS0qVNj0jatAQoNsLZbdcuczNgeDPXFdieL5qG7/fa0Np/8hWxRTHB/BffsmwKzr9LVc1m1wDPvqy0mhR9K+5r3/gbnI4x41duhIJ5lm8UzvwfaY+6a4pmAOcAP5nvvBAZzz4+6T69/4XSR2S0SB5NPZ+U7ntnL3+wHqeKhlPT/A+Y9PrsRnUCvrNy4d5zK0pIcDsjYVMzWCwi43Ngn7Dem2d+36TsenQ2Fg2AcTfWFqyk2+dsqlNr+soW4BeIhnhGLj9BDriCj78YWIlMPWtEWpp2Lwh1hbi3ZfpCfWA2AHrzl5L0A3gQwqgfwu0HLxMoiXYTO7qp+hnk//9tsO7ybnl5p736Asa/quvy0HH3k0GOBvRPnMkaTgxdVsIRzzNLts0cxIftLE42IkHGuIhhu2Yd+RWau3SKPS4qREhsMcddMuc336IMfyuI4zJaLJTKq3mKlpwbXpqjeXarL7P42zF4LHMva60M4wAdv+vyxfep4Xcy4iX5/Bu1/3spJHdkkjTrDP3flrgyL8bQdHbDoecebQRmNXad8qV70GbQURRoDBDmxZfqyyAlUZTo4AkTS+TSpCsHgGFBnQi6Gs5RRLWNrkcXnMEtv6QxXVhEWiNXt+Y1W+o1b7vSfEmVDsK9lRyealif8UOnmTfvoDfLYi1azaQ5TzKmfHmATxPMYJ3F1sk4iSonCQBDQ9/LGMnKe94RgrEarb9wY76USvoMOfP/+oeFIRLsMG8kIiEpXdGbCOCtldgc6Wle+AuP3NgrdLeSzkmxJmqXKDvM5puJVUH4HjOLDVVAeZ5b0cHB+Ija2NgkesplPszY+89vYjELcKhjtJQl5lQHQuVXVt7R9m8FJFqlVZ9gzivgB9zCyWZaB+0T14qwrRyFnMf0CHrfkOG+cE4AgYPnfMIbGNqZg+bB+f9O8/hmg8J+AXQa+GS5vQv2C/4wxB9SATz0fknQtE+t/DScI6kZe5ZJYQwbfog7rgFMYahR+7MST58PZs4WXKRhKdiD7om4fCZoJd+z2F5HtqoQuZcYRlzrkBHctAK+0fZ6ZyA3gKGgq/1RRb4W9pIHB1tV+P/MYAjU1B5TI5YSJsw0iNa7WbRWP2tDlCUUVDNNhnf58sp+J7USryG8SMrdNB0/rMyeSnRtIHv7HJn+2r6u6PA7wILtxyhFsYzzJjnnyN4BuvPAmNdMJ18lHbqZUL3EPs80zdKDO2mBhv5v/dCtbn3vMqMR7PJ7Q+B5yY8pBvgnySN9k5aEMYLiAzs+ZQOAnJuX9Xol8CkJs9+ZB1PqxVxKvidsqulOnT4T+ek5iTNOtPf3gQsX/eO6LcZE54LGuV6EryHdfY6sT/PdEh2Jk8fPHjBBfoh4X3BTHo14w/grFjZzG269pWz9CXCbXk0tfAdmdWDLZRIHpjjpQQ/+j67qfq5pNETrKaH+LR/HhzTV8nsWRFkauKkGrTzmJg+UBbEt4eM5b4avmBciQsx5gZj8kM5W88aGMfSntLgX8G2K+BOeP8ks/SbAfJctC7ofwBis6/fXuRIPs5IHc5B75na66ZWMdv92UC8/Ti+tlnu8leTb839vDIP0lVE8iNl8sRgmQFHgaKF6aS4A4YI0sHUllTvO3R96dgFi31gW21qH8tzJwVztkVuJQWMJ6/01QI2WEsXRxAzFgWMTwd7aji6ndgsTwX3z8OcQWxguWPnaY/LhidlLezK9EYR6Po+u7k3g2VTG39QhCwKNmnue0lznhUSPw0989zAgkoSK7lXceZkox5k7N9L40OjJAKdUlTMutX2tMtNjTHkRyf+Lw/0kXVfTzGE7/UF6wLdONJTBpxARP+grsqZNX+X4AdqZ1kgLl/p6BcNw5/AcAR8MBVU7kA79JJpWnc6bhBes9H0yGhbAcozd8GWHODQ4b45Os/3ey0c4ju1elA67QGP4UZEuhOh0WzeE9b3fAoSes5n00s9TyPztT8phOm5n6SIfSEu871yZt0E6k5XfDB3W1lP9jAmjHfw/oN+n6egasCch+hUFXwE31AJBvHZxoGptZh2fH/WCHRE4h6d5VCx8pk5e0uKZSYUdCizWTq237hTlTI9RGzfNppecb/MuI+wRrYMfu87DKxLbnWY5Cqa2lRPWAX944SSKQ/JNRW6JaZvXre3sKs/K7b9TJ1pA/7+IINWq0DfYV67UsuUotKuBP4BjXVkNjlCrL7mIdvkbPvWDg6L8LfhO2AYt+rBL0RJBjzAz1SHoP97YKfg310ZLedUPF8smnYHx+Rn4h64GLioFaJfrBPy76ZnbT0yF8f4JbQPGnNC8DFvtqFMEOtoI1k7W7uOE6dkJvbzArQM/F6wjRg0iumjNk5BanriCg0xB30Dj9uYqU1WTLkIy1uzlk9uS6xGDc+UACc2r8Yhee5M7/gFWlBfQce8FMNMCOuWF2g+mzxb3WxU3A7cnkrQsGkmJuCybVKPeoHo+mBuclSUe6CfrlX4XEH3Ikkz06vnWrqt03SJDzEjyPlvTYzY5GFXbA4aJD8zlxgNF51jfSx1kuQIAWnok2BzWIV7h4hlhJiB6sgrKuQLZvpiiPtq+mKeBcpSIVGl8aEskMcGBb/Lu1XR9n3nca6sCVcBIU1op8wO13xMgM0nU8MEpf0UEGDYf7lw3R44ZWPhf71zk5Z2fixX/9QEuMyFhvUwj1UUuqlA94NNUqDvrLKyV8Pxu26PqcG3g7UhsvGvDXGsapA2uWvTKZbiXCQxsXWn3MkXvTfnpgblYCecJyfSW0u2os98RAuOQHuNjS00fwlmzh6SfekAh4IiFMG7/vwsDtbVEozcYZwDIrYHQQlLB8/o7EqhyZasWVjfXkqmrEyrhKD0Wdr+dNamisCMMqsNzqPWhKGIsvZ2BK/AqRqyYQ/25O9AW7+ZbQUeOfFxOqZsnkw9SMyTF4yjxDbCMK/fedE+sbXfnHuFGj1FoF7Lml9vsmNgH/7tXCiHBggrsWxgHdyoWG7gO93Snvas879ZIN9+g7Pu35mY4dsX1/rVWPhOdO+BDN3glU+gy8dcT7Mo/LAB36Z2901agJ5naJWDvcv6PyuJ/Tjt749zRzZn0P4H29/Dcwe1LW+NM9/eew4HU0vc8jws7o90bbxzb4Gv/7PI3pz3+60SSIJiQzhmN+lO5dHCwGytyxn6yWF8+EAgPiYCuN2TlpIlmy45A7m0gp8CfSV7+d7TGyWzP3GsIfbbewX0KbrSzaiqKgdZTKvneWg9zNDV9CbHzvPx715JT0yt7uvx9QfGDEuz3wfa6kNS1R9e99vR4WBD8Nxm75P+5i1/493MzlzlskCmzsrQhJaVj5OgI3soWq41R7nJ68MI2KPTPjxDAjwM8V09OFtAtX79y/UB/WT6dgT/6UBEVFCuDPmZHMibRT/OnanJ1Q5Km5wqdK2H61o59w3updMMeldCQDoVPryxOgIrgHYFIgS9UtrXFZu+DitmxNos52g+gB4Dxl4+z+KPd3RweBITpSx5+yjQLY1zDk0PRP5NLO/BVgk+d/8sC0kqu7Uw5T/g7ue8A1wRS6s420hbriy0HqRDg+j2TxlN4D+SD2BS4AbLkfZ0qSg/UrAmxtU7T2+RTjtlw3SljjrJzr8CAwe1o0GLeFWKkgR8FqrHr2cF+uEceRtWJANox2M2bFuIkfIc+33Je1PDDIFv51WYlKVuw9xZzF4ZBTZ/5xHdRQjvViQQ+3ArHQ0sS/oaJdcSfGBdGB2A5hIY5TwoYJNpboTp0aHysmshBoBmHSdW9QkCdp1UgH7EYAeCLY+MgRew7LGJfms7x7mdDHjUOxWRDnfJQEQS1UKxo00GwbYrG6cDPEefDljXjvdh+p0eLNPLbx5MfWVgu8fRCR/gLwgO+A/Y2Z07sOLX9lSvxAIeeNvGUb22N2r/XUtheuQmwxE+g9otqy2eHlc+49f2wDvmgjYucQAxnsNqd4nLaAJsV64ykumJbfeqax15mZdTPt+aQGpgx0dFlXOKvPf+Rnp0QScGXzcV8hMw7bMa5TcWWw5MGrMCp/jyB/wDqfLLjPMh9JQIHfAveSa2FSxzu3SsFx3xlYxkk1Gfwli0uckxDXpzbxK4afN7vlx3X4bxNXBA0ISzfQ69Bw5wlLn8E+vSzbkGfpWpiCXOV32A9UHO4Xwpx7+vepQPjrg54VmVqXki1DeQQUoHZWd9usk7/AT989sjQ9l6gjE9QQwtTqA7QKuhhvsB6dU3cxZb9MrDevoRvaZpODO2aqfifGfyr3MteyL0J8SesumnQ8ZNfX2SKOHdVKR7GiQ77nhvncLPWv+kVF0EUhOPtjdi6iVq+GPjG4yDnbpTe1z/ehj0W+o8l4M9ORmwmRos90STtMpNLccJFBCmeeGb8ezL/I8rELCEyYH6Xy2dAx3TDbeWvKZfTj7gqi74h4z0Jl/ZpmGzK4YlMHVaTpE65uE8nyj5PFOM6tCjpWVbsO5Bu7Q3YjegLLEohyfoZ+mkvJVAH49sDN9jiBsbXbEldyZXrV6Toln1jr3+LHkEzEGxzfpprigeStrcKr6360Gjkra0ZG1HI5TJiNsinzPV4c9S+w7Mx6scEPi25U5dcjE1jN9nowy1PkH8cBaLpv20Bx22EQHu6lBe8rGl+TBfazuzgdkj0CGH3OJ7Apo8Y/aLCdyC/u9FqO44JpfaVqi0kk3dz0YnLxxiYVX4b96gwHhjuaon79BH5XCI2V8WBt/CBdG1RX64rb6p2EZVqGKwh+8GbL1kcqlt8FN82jWjD7zYcl5IkVK/p8DWaRiuaUgmbpGOOO075zaGRdKWIw+qsLe4pb7TKAkJAh8KMUH06Ckp/1amwHg/eeeCH9Jw42YF6B369aQR2PALeM72P7hLwlzzubZRAHZx4mH4BFbGoLUuv37DstZ/e6jM2+AQx2WnHKmTW0NB78eIHixOSIjKtCerye+RjuyIS0TDZK/o/oVt/aEiC3zj3gNddsqGP0/i/FmV48kzM6z7Wyu4Sl35AC08m5r2B0f2+SrLM5pexIVxsVrwwVMIfixlDDjTsT+a18yJOdN15p9zlFllgfc5w5MM2C3t8NBY06vpmpU4MwVWuJF+fvv5D+4kT+ywZx09N4onHreTpImBTy3LS0FX1Q6WxPmyq4HvmWU9VEd2JyYn4iLBbYivcfo6F5rn8fVBrSvY4fKdgd8CFnVAq6OM9e9zhxH4LRQFeqrX3a4ilZEumTkv7VqQErTAs+T8ng8mZ+ffnkJm9m/TQE8pEKFy+BNfZqfqelfyf3vhO/iMIQ+SAbjkO3XTlUb2e7/3X/1QFcM7RxpJCyFmPcFmseln+t+9W9A1Cvzi0dk8TI/m7AW69PXHBV2XsdDGWPtmD2KtOnWRgzw0AfpMd9sUVOxwBM7BrH33KXblOIHu6m9VPp94TMAfboAl2Y1ydTsjH2wCuDPavkQ0rcAtpl/Xk8d/rVOsh3PXZtR5Pusi9TCseQpWhcV0OgUkUmxJpaktOcr33dtHE5TAZTN40vaHIHNOAfTihksO66XsJcRCjCpxBz30tTms4YatSQpce8mcZV8VIWg18M2v+aeJtu3BleGZt8VZq1UYHzZ4A2P6vQ+AOUoO1EUtE5qoGKfK0R/A1qEcwifEYasa8bN220oJ0wdjexGcVDRqU9CnL9PcuRqRTYGJea+6ytQ04DoHwticYvCvWoGPSt6+NwSW32dDO0tTn2HkMXz9JEJeTT8t0F6fmQ3vVbSX1MGMW14CzE7MfjT4ZQe8wg/RaIGIv8hwYjQgRWXuGvVLS8VcSlOTY32ftc1tY21/MEI5jidzVfJfLQOwIVMXNiytKeFiroxmBX8PEyoFR9MNYq17ChRoLTKmtp9Wln1Pe5tlhXKpTW5572UQQz9Mrg/wxTv/8MmKzPRhFXL351mF24WtDeg65rFQF7XdavjeJaV8Kh0v5v96+/3dHKxtWGt+YVGyGs1XCnnCfetx6pv8qaLp8KkCrVzrtmfD/B7DuGTN2nSZR8LyVb+2lmT7R81slCP+MPmEXDwXVVydNMYurPu9HE2VIa+oGTA2B+VuzalazVkDyStL3bCtPmmoGGh5BHotKvvyfeex4KZ2b687GdqFGqeeUODYFeVV4CPimLr+iii2LbC1HHnPjyY3gdLkEzMpzzBQMG/mnsVAAt0Lauq1th/UwsAkCzlzmA+2vLn3IgL9k9sSVlZ7IiH5UDR85YxcQYt+SCeZK2A17sxg3wS4U7bnGI9p5+/rAaIwfC5o/iTVySxXfDe5PGehHRjnR777s8Lcgn/cvHn+gl3fLl/bn5QjzYLQwXHyyRj48Y45lKKUx/qATS02mrqVkFHTywOsmxZ4rFXj/ql69ih7NDVsszR9S6iTvlJKUukmBYtSl479uz6AUyFSNMNywmtywrw94nB/g/9+YgcPaky+U+1/SEQuHIjG1EbE3f6RxvKDDu1V8a8btsgH/HyeumQA/vJTi1fE5kEafXl1jO/1Lx/eV4i/S8mwzePQAr4DjiIWDufvms37c9S2mMtv1vWmRsmutkyNTYSIuFtNP8egx9q08PPaxD8racG3PQ9W6wHrYdCrJ9DYJ/a/vhUcOGU56xYBt98ZgjgYmzozlqNcsmBnOmLH1JSZ/Nwl1/I1g3blY8MWU+PElXYbZKNy8j7RsD5bUxdAWeRC0PQgBUqzwfQ19N73iQLwj20q/vVr3ivb75twGrjr/9Qx2ac2xHIuJ1M7CniG1UO7qcDGSQ+8H189MSYO79QLWFdWsenFKG+wXhKwZ4g45GCOKupo+45f+pzP6By2qI54frDuHu+TCGJwlNl6SSMJz91mQAUxHcm9CZdDGi0Z7f88qa0msKESNDXEefWtevsjjWYnGyyHicUFGwwZxGhp49/flYkJfKxeD6v/A5yRc+f6EBqNIgiXFJgIdCxtNEf1YBckuj5y6t+Ag2BNJVgV/dKEPJbWtgLuOKamD+2Idmncr7D2AmnuhcLLvddyZtlZFbYQ57WpJWV45li7CLTbPNVIJrjfAp8pkWliWKpXkXqWLFkamkx5gV8ZjB+sNNNbfcbmDmIsTZ+c6sxkbGyJuOo3fwMzT1aD7TELj8DYGTxPLtmXy/LtisN+EYjfmkjBvPuWCI0m9i/E1J10Wh8037MBpKgtDx8gjteFfyVasYaSA43Rv7VQO+H7DPEH9H1Zmbsmg4zBD2wU+PFKy0MVtfpfLnj/tBnyBR48CpzyBN7zGUUXZc0j6Pbe5J4wR23kiEZlqbEBhcRskohOO4QzN7PJ++zmDj7UJpYKRd9+EzElWf/HzRz1g3W/oYjvaIc2Zx5CbIBVivSmjrDpxXLCET9Uev+EGPmZh+Qn+6/eoQ2sYO45Jjnjj8ri5jz77aOe4Hef//UVtl7Ayo+jbe5k8bDp5E0UwDWgO9OYu6WrnzRcem5tIdaRqVzJKbfxeHBLo9GOzORFDPsFfEOuVvzZ9NiuwulKO/0+/3qmSEkRshW0PPg8yc8jrljcTmrtXcHl3eQWlLa/zxyeC66ixpl+ToH04Pl+gMc+ssHT8vLHOzH7CTHzXx19MYAm6iA+2H54yt9no3evpEbHc4jH/i4bJgnxFQNTe4yTQBRyaYq9g7lfHNzEy3s+sZBcTU/SjOkbW8koGdAB8JyITD2Au23yKiD+PvDaAEeXDzX87mM7pyC5Mkp6sKVdM8xdNVjmTIaDru8yi5QHm0QNh59bVXIO8XBC03fpTEKue4eE+/W4lptKWBsOrFoPc8k7sGiESlNvsHSIyVV958DAjHtHzoE1mFpOPHmC7rxzkXyWa/kA1i9rW4/Sal0VT8favrowk1ZJuUPt5HCAmAgsMpqanw3lUWm3BR91J7q9nQ7Lg4OGLN3knfcF3M6JClVR8eQm+uYFbOvR1W/xsFmotcS1wCULU1tw/wcm7AN8k+GJKmPeSMbsxTkexbDV0vRBpW0L8JNAHAS+hJix27aVLd/aYZEOSWqbBLBmerlysDXvB3QYltYiwCcccYxjGEuvsZNHyuYjz+crt+aA8a8X6MMTYKVFA3PPrrzxQJo+V6u5Xyj/5W/4r8wl6Xv/EGxgLwbPrcWygc/qYQ3G1MG+Cr3E7NXCOl9AO/ppKHPQsNdTmDgysicS+w9mzbAe01vuJKY/1Au4/gE+H3js+eLo700ik1/UvHM47XOcbUqOP2igLLBTk5vZy4DPcti85GU7EWb08nRUl7lkwnsdXvOhsRAGZhUQ22wpspuy7JmH1yfos5vpa5uG/NSsEKnt7HG08DuXmKSO9GTx90F6jrmDYAz3VsUR8Piy5GIbVGO2gp/IQUsnHLUfpwIoZgQO6FQJse+erckBj9quwIaauPXP/WTqTZPGJRn4eWDC5VenmDvY1dpeYR3PeeTZuePlhLc7Ze6qoNZUxwoU+EDqJDshtiUtslsdQRzr4J0KHByt+4tSsm8C/EmiBTRYs1S9ivOeJHnRPLPuty4Whdj2bIDt/tUQ7FB8cFEHb51IU3eL8rAK724dJXtgux0d+cfhte2Arfy844fmsu2oqSfS4U/gH/AJOsSFb4uO3VS3v5VcXs+7+W3zl0b7TxJPjhT2jAW54hFbMoAnHkOPX7YzsZVTRUubB7go++cDJAys/xI4uHyeCl2monTrDnRoLOXBmn+UqXcT8leOpr5ZjSbGb5vX5plymm3g5yq1SgaxkzSMdJnpLeRO3+Y8qonTjez43eQm1pftQGIcEq1foHfHfCUfpt7UOZIxi/96mRs+0mg6lv1SKrEwas1v2/jAjtcS5Bv2uvIVWeWoY+BYrxH2raQYNK58Eddfarax6OVuyQFFaUxuQqC16RcvHdCP5EAVekIpw0mN8CAClJ24Cmivrnm4fZ8F+HTE7ACRqXaAu0L5KEff9DJCadgGlW4JFstH2vFPTqVLtPzEfTJn43RVwg7ymO9AO1iyn32Ixfpga2AXdAR7kNwiDncsl8b6XcM/ANaxlQ3xNvb7uvOdZuzt1OY3DiufUVOT1dYVm4Ef0gUYYVM5mDQatGw4kzpoJ4nKJx/Qq9T6CdqQyjDhGWuTUyjZyeQnBv77TvGCQVUBS3YMmTp/7Uv1oA96WJtukmKN2twFnxGrnFhLeh6lBF08wtr/Bv5LuMWPXEwR6MiZcHSXyPSULT34fXvQWi7r58cJ9Mz/vdfpRP2FIg2RY8oF0z+y99paJLGK+bXUe1N35NY4dycNMPj/vcvEnxusz02NJvBLfyws9AYYAuK/NPmKG8m0BD9+JXbpnMMpNfXQ3n4D/KBmKBFMWFYTo0e1JqBbtzn4t7m8mFxsTFQRLqXzdM4Q5c14ZYILeOej6W+ZWuiuotYCjnWkNW/gs0itSQxaXlPHTmvK3hx1EMOcEA40E8gDc6fwFNlRSZtHHc1W5jBbBSil0R+n0WwF5upMrWLQfAWj8p6j/tUI4grmTZVWI2g0P9XTzMTWESZPPlTE1MN5732BrnyYWiOmD33TqWvqtC53Qc+wJQGNHwIfZfA75Dkgn2eGIRboZw5EWiP9zIBX06BdBXAlLxoXa+Ln0WSLcHriVX9jK8mO7vTWRA8Rm75a6SPrrc0paF08LKyJ9STi/lHl83cKXMut6QL6JzN3QjHbMqVBWwjrlor5zt3mdc63Ifj6k6L4khqucTYvyrPXeVh+FOO//VNAVxWs906UygXWypVrZlGHA49/rZl1dUw9oib0jmnE3Zr7GzmQexqgioIuh5j+Q9zEZ44u8wg7lRVuZKx2DHQQdqc5ZSZPXL77IPxIiI8y6N0qSEyPEdP/D1OWga+bgGikwzga2TD3edDfzkNiYdPfyVTit+w060z+RbuR/dYB/dRLiNNnJKMDrGJh+o/1/53Tvs8dzsxb8sj0iscJC5FlxhM43Ny5f9I1hf9nZg/zA2Lgg8XcPqytR4Gb87HFjPHw3Jke6/4AMfbjsPKRdekGdGmeuY0NjO3g/9UIOlKuvw9rklHhhall6/Ry986Fb+q7rnnw9SDxdYFYulA2rbQzg433NEqG0lGwfrWpL9eVqzJ5P44acKdiAv7Rf6rLFp4R/5QDf5/d2GrV3VnruEb8Yfo71gM5isvcM2B7Bv665hMRTMG4GPuSn7C+CjLi71qXLhlJfAptNx1UDPxo44J3hjHPXNEzW+A7sgX4lv2uL5p8NytPc9PrrvdG4Lspt1VZDsu36funTAzh+HBCoDECecvXNkpZA7rL1MGfONYwN8UUchd9MFhTJ7YdTsBeCnFcFZJXBXpzr/m7zYUGJuNrNXiL6dcrwCuwGPxpQT7r2K+AZ+5pZN9ZgUzeD3Cr92lyjEBv3aWWVIUEfEtCm8iwpII1q2Zs8ReM+1Xw3/tEh2a3vZyH7UUFLWKBPtGAXI4W3zE3fVKO79nI/TzWV4gVUzVMFwY69cwhhrot2Jj1Sl1egKbcp265UfmfWwoMX43gIQtmpfkfL8//vPUyLgd7h4HvgA1Bpeonj/d2ZXrluH4AM0Lz4f5QRXsSIwGKTvITaIYM+NvUKDzaajjttjxlCQE9OIBZPk6h9QBb06dwa6WmLkpA3nWkjWZIcBeaPhAW6FSncf3haHmz7NrPpkheR/AZMGei1H5W9sABzjyoUQ+i36znkWRieC585ckZOA2vf+0msi/AZBGzlit1QIz/ngXcnZK2kQxBewN/EUt/y7jZCPZcWAf2WkwPFpEZ9BbltPTKgXzmq/4wdZwzWEdplwR8kJ+G+xonmVn45Z049xrT5zyfC9VfPdXJ8df3xsyrQmLlg42z4WmZ3lvNSD5ZZM4Cl1fKgZso/qwDc7fH/1avGdY1KdIxXWpTacydPlWBHBWlN7qyW9mTnwa1Gba+bmVHslq89wFmcQTuoZc/DkPyA3zFjywIMO8X+CMugCNWClrjYKkLD78WdtlaIpoHNiyxtGUpB73JIP7J3NQlN53KwG/mf+zMTRwYd3AbW8a5/5vDeQZfmoHnrq3Nk7vhJhthflH5OECEo2hKc2v7Xa+JyZ+fQX/cjlZyzPo5pl2zYa7ZI/pagU0qHuGfczH1aZD8gH/ek9X0hrpuiPv3nd+bcjbtzkXbNtF9ORfNy+zmV3G4mLk+hdMOYvWiEIzpighoBWANXeWcR1n3dyFIwnsurSwmYHy+4KFd4FlvKfcDiO9PiEH3s/7tkeFTwfdVBH7USib4fAnx9X4e2Ks29w5HAroWWCTEJXVkX7k8Be21w646ZZa3pIgfMp6cwM8+2YiA0rbAh0kI/FiwfBtXDvKrFb3PzWcZTqcqnFZi+lfZCZKx/CZruTDHXlm4PUJsuTXuRHKTrzua/HKUnHVv5TG5ygjF2Pm6SRZu6pCgHOGI2GTKzQabgziNkPn6ndN+y2Et8EGBOlQ/GCyG2/qVmhrDVB7PYyIy7T/yHlWNNe1K+tepRiQyZ3mdaXJV4dJi4RWytx7nDsHPkVdlTwUwdq7CFrS6og2X73uj5r6W6SnvCmDsuieYWNtrg3SMmXdNC348x+0xFYgphoMGKUI1PzZM3g62NB1JLWCII0FXr2T9wkMMehYRKXB4HiyL9dsj73/7cs4ZrKGGsScDK8XCxkwjcxeGlH1pw1o9ZQBh0uGn3JZzbWOIg14vXb2kzkRqxzY5zB1oKog5yQcXKAT/HGWFvJ9i+UxjLFWc/uZVgh+ioNusHGUeaDDQxfb3v56Eq9+LiNBT4IP2bz/yjjhsxD/wHhEb8KhsTs9RO9RjS5nJY+5awsFXwxrY4H5BypFVKYAhouXN87Ny2rEWukpXXHLe/hxXvIpxuquV+BnwFra8TgmP5j3elC7HJE5dtqpIFG0GehCZu/MmNjLb3LNNTk1M7hBbA1OzNRX7Fw2v7/W1w733TWiSgz3ZYOcbEj038LMVzH1LRmSXdrZI+6+TIjQ1NClhzjMS6AvE16uy2x/gejfV+2fD/rigkdsG8cn0r+SDXYGdsCb4es/XB+irsAr4VArb3L145ZR5JFC7lJZLOXKHhd7nqWAPOV43POTXrEvSc1TCCP51maV3WY+uymle1MY+EYrUNthiz9uqa/nRvd7k2Lzjl8lVErxDZg/QnP84R7PPs/rA5UDYcfJZr18bmMdJXoAjgPvg+1we3S3O9mt1mQ2M3MgIkQKI9gw+iYMN0ehrNWeYpr9bhfw3z++Bx4IKAQdwPPFubzq5RefQJoSav8vK5HYdbe2x6LpQd7/w6Ms9Cf1Rj9PTsCYPzL3cqTT1nUX890bz2T7xJMuZjSsxBzlF77wvXnOZNl1bsULf8g7RMwJdqPmL9HoloDtOYhZ50EYlRwEBuxZ98tnE7S6z9aF2rBcfVQlcc8wjvcJatKtQ/ggtgU3A13dkqCzy1uZXGqlcxn8tqoH/An2sXX81e5mVTpJqbJ44bF/sNT+oo1C9tk8Vzn0atd+K+teqt3VuI15RvICGXLjGD2A6S4ipbISp1/xno9zfuo6mv3gB+kUDF37kdpJkvcqAEXAeLl0NnEhidCIifUg3fIF+vXE7tCsmEfj/nMfIL7lqq91c4jBJSM/FmbfPmvW3RrT3mmrwn7/rC5n9ZB4koKfSB3fM3Rz9gZ3WB+26gJ6bavF8NojkuLe9etW0dHRLI2/P++knK0hcr3+dE28XqpNXau9dwtInZ0pW7t4GTsTVkL5jytXUasjDzDs43um4quy46iwfdJt2vmX6E56DvXd0ZG563JL4rwNa5cAcLwK9OctAbkp7AgZtXxz5H+nol8qxO76SBL/uG+z2jirw2w47+B001/9q9mPyf7xej9kL24pIF98U6K+U6xZiEWhP4kuE2tQlD2InB7mGQG3LqPLt0eQSqTD5JMAjLAJmi5Jv4LdbM6bvs+yqgvcwOug8NI4Y/QsdbA805oW5bZm5bJNbzSsvWnMfqa3iBvh474LWy6i19WDe09qeqrr4ep6EfT3x5qZGzkCHPY4uyrhDCHOmN0ettUWKbIQ3RX+f2P27st0d4jhpVS+fFTBL1fcrM2dN7pcrxvanXPcvc0ejBC95HmyqmPWAWM6PDrLSsE2FyTkKVCq6NgFOB//4ew77yMEjq3Dj8mGBsVVe6ioO3Nk2ztVKew+B1tvRQH0oC60SdDX8+aSv+63mfNfACjJ5v6W1rUCfPEG/3JtebShPcqK1PoLm4/H1fY/D1GWCNb+9AsMf8xi1Ncd+k29nan9tmlXOwMSPXJv+JMkr18o7j6UHOsozZ1YUtbyyU6tyzRneopsotDCwUO2iZwU6jFCV0GF+n+uBl0FpU4BtcWnyhzdHt5Vlvv2hL2C7sLUk728pm9qyUM/a5sB2+EhG0PgIrM1uj3WgmIgxoqE8nUMUCHguES5hae4FWx5lgr9/VwxzuFQBlqYGEUY+YaCIc1OnVCcnZkOcEvZizsfSoZ0a0wUiQCfQxwswQHmwVZvxFvQimUHfwrraxspagowtn4ojYOntwtzwtyZ85SxBVShcOzDIg76UK7KVjaxslS6lGLGov5Hwz+aMvhw+kmfFvAeMg5+bHi6r6RtncybA9wsUN+LPDXzWj6n3mFtXh7D2mQO6vxlARNuHZLOphZ9T52uBmBqbegLcVRkFHX4u1CcdE4ypDIAfE7mmlhr+PKp+67N+/yRd+TC5JZL6HzJkzrlLRtzhVznqJdOgKwry27vK9J3KQwk/m4CPWiD+csqc7SUVSQ7PJEuIU9zCFOb7IQoY1xHpSpj8TLQ7M2lXBX9QW+5SC80N22yAL8B+MyftG5fBv2NreuvKSxUpWtqa5MLzxIAvlYu/K8FvyvH8NN9+iuDvA4fbiVKScncamwL1jEnOCwy+kpj6/xCLwqXu5whsThLLdPFEM+GTqOPsWf0vf949Ws9Nrv25juyipIqnoRS0/+OC78U1+2ND/PhRVO1ygUvMShvGmzLauKA9k0ajz8bKrMry0FknErQorTjS8rL1ie2noHF8cvnz3nNoq8vdU4PpBdh2QiQQ96VterQAb3Z4kFkafL1qYBq8atvkOzVdAv4LlabnTi7+9QjS5iyIFkZzYATatC2F2pv87YMzvfBlftvGKBjfSeFZ2OxOjGYPza6wix3QoSelgXY7+ZMH/gD/LqjGMx82S2555ISmzwxYvXbYA2Jz0DDEiJirg331SHT3GrYcRKdi4MzqndMOczSklo1VnHnnHuxnkPpc4A/KSKLYMv2Xi6864MNr6cpScYJrTj6puFqneMpI3K6nQjKTf8UH76cevDlFzQp67ZsUGlfWb4+nmxwUU+4UHtbypgIdpkiBqFcI9P4ImuGamd6AAnz75c9LgG9ku3mCub8pywPNKP/VG4KY9nMKvjaG0cytJdDWoNeTSx1PB7W+exPcNxlLMpijW2UnBbfZA5ityl1clEVb0BVv1OC1tc5cwSz33PFNU7DNiXkHGsNcgs8/OL0D+jlkjGf/5THrAXzu09ypywYTe5N3DgwGLegBN1E2oLJyk5kXaj73E+Wggypbg0dok3OQehjei4XkzjRZCPMw+BDw4aHRbVfc8x9s7i71X05aJJIP20/ecfifis7otydXScb2Bnxyy8evlRQqzPnf29HZ2MTePyWwFcSOlKGvhcQTDCt2wL6o0Gpv6hNzC/WkAL2i5RF0XG5qhldcQ9SfPjlbZkzRE8bxzQDLOVZX5aYbCdpCFrpoQnsFuzqC6DhJ8PksxFWpCTBBAj5PByTm+yZsSc7QCPG5L0VbmH5HXKON6MD39KCcGb4ytjz/y7PcvvMqE2C5Pbx/fmbboenAPoSpJ9NCtJYX0EqfxEUFxKuTchLcRC0ovISKWC3ny7yjHfC0sAeOEPia9kGHrQae39Ne/4ghwWemnwrs9M1seQxj7CjBzG3b/rqpkTwojves9xIRtWkTJH1WtKa2xIYHkp9BXx+sdpJi2hxXk0OIfenoEPjt2mju1YgXTWF6NyDaaElrW773RU3txjsRdyd9bbOS4YSy1NTkuYBNAP9vgLuuzzQyPa3btXb3HmiKJ2WZdXAnqyyIuXOwgM0OwBxe2RG3Qf0NR97KEQ5FmHgi8t7+MDgLvILWLiC2tGfTO6RvD2LInNLxxuOaeWztX6cIxtMtN5W1pNjVPu7Uk3ICPjB8mRra6ZCc6v7f2Djg11jqtp4yd2cCnUNsf2s9ljLQnY6CmC4/TsCWpzg5Zq6M4NmOMMtptaoTy7cViWaIfewJMbvkltmHIlZK2RPe321A0YJO/MhX0+vWK3O3BRaemOqXTeVO7/OUbxmbO6XlcgrQvgKNC2v3hIfJaUZYa6v+Ll32bALE00Im2YhybCUDaCwLYtqV2MBdnRw4+7LPoeUC34/wO6JyyIBR8Y0WSKpw//bzMbZ7D1vSpmHqlbrtqdtWJidNFtLkoFxTZ7H4QGJVlB6sIQHvk6Y0cWHdO6lgbq1RmNqtV5p6BWt646Ec8mjRPJbXEj4FmOfNvVew8YyE3nCK948TYm7WhzC3E3CaLPJA/VTd3w03dRZXecpMvQiBf6gjmaR7D/zJC4vMkh1CLLQ/2L+b/9ORFwRV2q8y0JZ4/b1v/q8mIcwzSeM2oLafNS6iOEhCbJPWnK82/XxhAcnA9z+V8LqU6YRG83q0pLlTENQhIhnEYoL+Pjjo5TyCSORKDPF3Z3oUleNvL6SdpBLWFXmB/nLLTp5g7lbmkk9YT6QupFC0t2H9DeAfLjz8s0qkViaWVzY2VioWfEYqqAZZlP2cl9QH3td+Ezag9+ykZNe1odl7LeOs0H3N7g4H9lIrSDfBTw39u2L6tUB8BSbgj9qVJn/kmrnZitnzdbC8l9Kg/5wkUY6+SZfzvJMjZhtgugkYnc9NyCXoOsLR775oV7HtWIr5p+Ggc6LpWoHWpxE5ZtQfwKd/HxzwjxGyq92WHyz+c+5U24T62Awe2NV0yAP2ZMLyjL7MrCUUGgegJU09fTdlyRU0zm9fmDO8r7RANQTJR0OTY2qZu1ukSwscphHZYGZZLE6ukuNYWpuFUWVqK9sNxE0OGpP1yvidTSPsKA3ngPf2FWxgqG0M8+0/K/Su0Xp/YjbrKuwfaYAsGOtLNrb6bAoMOqkLnN0Si4Am+7MAnT1LcX0yG9ZcP0vgY1FZ4KN1q7nry6ZfLpztn2dNgC1Vq5BuSxsT/lvXcT5gJhMVmjMGU+evzbKO/IiOLzC3ooq2ME/XDY22hWG0CqEI/IggyD8CF/fAgMCUc1QH+APioHsKMZf2dKIaDWwkFvDd/3/+xSBmB41luVXx9QBNzEGHPE2t4VwgQZ2tCxq8EhCzS1j9oFtzJrSAz/vI+hJsZFrPHSrFYN/P0azr0fAa+gE/c5eg1yGmLuYM8m3zsFY9FoG/XPUHBQ1BTH+X+GuTR8xlET5xG48Nw0/m2NG5n4/Y/bqlBc8yZ3szdeMok2vJYK6spStd+LojHPy3fXCVyCna4K5/30PclJftqCyNSCSBw/brwSJgQ+jT1JopRbIn0eJVYfnAYhFH58vUNXEw5VU5JBOx4XPDtudmc32cwO45cBpnPL+/INaa/mHUjMk7dw47T+uE8PFfjwgLWzX1OXBFzDWGn1Pm7PKFHQK6nZTNiguwc9Bwc5E61zV19k9zbs6ZBHaXC40nrxZ2xinG4JNzadlV8797UnMOc1eyqc84PgAD3mCeRm7ZaxW3fdrbl3w3+2K3he8z+/5srbvGLXVoSe2vwFs3sNkKnv+jAt6qbLIjTPq8Q6afY6k6sOUue+cRAZVoxte9g0Xb5WHiyt3dAq29z9z9SxQ6Fv1yyHtdwVo2+TGL6kgG+sU5ODon0dcTB+pRulpkTgs6IoQx2D8Y2BV7zUKyNjzDc773sU3vQhrgn2qY2L+eBm72lKgtz3FLzR01JiDS9lMIuiBP13YjQsXKrrHroAUOIYEI1EeKsEe6JKfAuOa+AkPmbCt9nsMtU+z6jl/7ugs9qdsPXPTL0bFfzShtAbPCrYWARpxBXwkMXHdiKmF9Y+76ytxt3HOg9HFtR7Ize69XD/zvHnjCMXtMR1cPB7dxGruxTM+535hiJ5g5M/hK3dYR8ivb3KcgD0GzDRn25v7BTWr9gjUPa8d7NpFuVW8zas5DAz5kncpOAfnOg+zBgY/PQ/pQIbrURh/05EQhrr6ZzZzFQOyUaYC/z6Ps0lUdGEVd5UpdU/QgvboQnjz+r45IUI/twIuklSsh9eoz0Kk2aE0GPvw7LfwfiEv4XKR2NkyU9cBDxW8+W5qtrTmTI6DDfmqkRCrIk/aJ6RPASO/d0ljNrOgdEfa27J9mLgXT6b+vTf9e8MgRddSh6dWYch/4YetQ6/moLGuhwKJsbN/ny5izFpSrvxGX7QfL7w9MySAjlQN73Kq4eRL4/Yol9xLiV0UlrQZgEDRlJpevdv3Q5JRnoKGBs8EWVZG5wN9Oy5tQ3ihS2ozZb27qgF4YkZFafF+K7UaamlPxfsns67MWm2fa7W3FZQU6/JoxLnKXCFCgl7rg4FNavxb/1RHBA382+vriw7zUCC14TJ4sfNpsUL/3HbjV/pzHv8BA+AVMuTf1h4A/5MFRPXMnB/imwMC3HJm7MfPJ9DFsbD8CLtkdXfKTQRzD1h58Bg5Sntn57o+HnfLG9NUGX3atY/Tb00T962nCTwSFL1boWRaZl0IMIoPOqfCO+SDTqtcepe1e5X88w7+l1Sacow/pyLaK2Su/bMPcuXus3w44ykx2xEvECbBKumm0+q19JGiSV/aEWDyh8jJjMngMGHiXjeQHU3VlollKjUoVaiSjZAe67t6MOgIK9yRFbq7BIFAPuozcwJaJKIAxAgw2VK5y2NyawH/vA9gqajbEMh3seXDuUapM78gQpazTOz4A3a5qPTNJYKwlMTVIxv0jd8MHd3r3JL5uDftzq8arTUALw7yB9uPZKQQ/G6nkLFqej6h/7wPI3Z8NfsEfp3WB8mStYf2GEDtMbi5rB7bbBhkDNqXJHQ/LSQHPnYfZObiaUnPvytxL383I1CHMC2lDLNTAhXcJX/PXtqJj8t4jcuXlj5Ve/mxqkxe1uz/VyuPcTV9VhEIi7BvYdg/aZs2tyWdjQkADPauijejF9H2cdnT966R6eoEF7TmEMSKmgTgkLLU6nSK9y1Hy9r1JStvnKVBXHvPXubi6dZGgKlqqJgZG6vCtCk291/7GmTqRfkrpMGHQmnEdY/CxSdowGVXMWxsY07qYrIzNnHfy2QyTlCEf4Tnee8tcveYf/popQWTKLdwK0LepQLvK3MnW6kEGlWVUclMLrQrUsYnkglH4bGK/M70KiX21OdIH4EJ0HqcsF94rG+Q16/xU9KRlwd/33rJVdwoQCjSryddnGfC25zfsuZp7vacoseW4B+vwZR0mWDJyNfX6qaXQme83Zi8vZ6a3vJrwME8Nn8BGzF0ge6xgVVWgFc15y5t7pbMkxJ6OOOQXHCUv8Ikn8C+f54It3OU5CadHqpMfUQCHONMndWUMuuxTQfwqqUpAKwcc8Rl0haYD4meuRpAXMheaAPOa+lPv8+WK2BiJKLFSsAel230zho6ivtkTd6VLNhDfRa7LG4+WXf2an2IELYOSSFpbBrpzf7Ay19RBSWEueUSCCvGRh+kChOPI1b/R/rc+W27OpBrL2zeF3+cWWiveVhTm6zzgRPXpUoMvTl1lH62pOA8JrAf0aKzFO/0/pr6uS1Hd+for8SK9xstBCIgSm5AXyB0QVyMEpJVW5NM/lf4d5/9cnHVmzplpMVR27Z1U7YqBcyLT84Zftd0eMmNU7My8EnOcjebcXm1U5FXE1d2bbzQdyYELPc7xNJ0pSTM99cyZ/teb2U8x6yd2fM3+wfR1RC3kMFUBrypxoac03KwV8L+q3z8Oa5uU5r4xVh8n+Ng0wuas1zpayztXuuq1/ThY20/Qhf15mB4Nyh51z8OGK9xEfFGUjERjRwp5P4HWkraamxhJwL2b6d4GPd8Dzj0boS0B+CziaSg7/gmK2vQ7lMaj/L/PCkH7nBpbZaY/ojRe9rx5AWKtgqlrHS1WFU/fR2tO84ADn/KcukDhidk/xG08+L6s6ae24anTxOxBAp7xeO8e3Nacm3gisuyDk765jZbGH67LNhIin4fTDfPkmOskJ8DTZL9gHjebc/+0T/ndrcxZ5JgaTudnRbNh8Hw14/K4+ht4/hJ4lyNzyPVWgg7uNFSc9yWT+/8+a8rDvSe4/OHu3pYhxFnQu5jZI+vaHtMGMNL7PgeZd+6kxSB+SId+TI+quSczPQ2wZjM183BDfmRBezl3ev2tg99tD6XtLxUn3ftsWVDSycIfIMe6J8AoFTf2b96lSWrONeFNaQnvwpwtn4f2uxqJDXzBZjwRZ8gxIvDROZRPNdijWlszp/yYvrYO083jbGbi2PjN2eJsUBKDhsfDFXTD8gLOdxNs+cDOHzcN8SUzvutFmzIkN9WwxZCD3LJfgnMXwl5rA8UT8/6vwHk6su5dgcx929+Fga7jWqeg0d75i6kVeKELa9PfN7S3XtwOHbyigwIuke+2P7AGqBpgf/aS5iFm59CjoI8e1Fk+awcwm00Od+whByiC9UvORdLDq7eIK/m58AvID2+MOtYhX0AX+jL+e6tWHaRCvriAvWnrHejo3zpx3uOFxPsXcHC7crxjOfqbE2oL4voR6fEG9N/tDBhAnPmD9uhyCjTmaxIfrSTEffLmUWY285JxyfPQ+AMvd3POe2bbe2O1HwQZ327lgi5uGWAG4P9LoilvCkLKnrCzbhPlXDeg4+ff8+Qx2Z0Bv5RtbAV/95e5336fs/0ArnyfGAasIhXVGej+KYSY8Lhr5hJPdmahC78Yjz9UnEefn4QuGs4PJzGtIpQ507ogoz/99kfs5qHp+CkTKs6Lrxvt/D518Md/n/VJoinB4daXVmhmD4QMoSwNPZzaCMGf7QDjP/EOwponHe32Dnz3XT5sXBVtHdDFO7wyUxMXYCf5OPftHnTPJg9whoM2Jt3XCnriXT8/4V4t8DOA2+iLGDOIob2jTK2pYI969+fRDOWDoq8HcJHneWR2Lph7QvtFduQghbfkXXMjoMtZ2Noi2L/Sy/YnNX2f/eYGGj4+Rfh9Pu83Y1sw4EHNZfuoR+B2vT7gTqdUNy+qkyvo5aAK0QjvmVTAm+F7g3b1PqoI8p07/Uiq3aMrN8aVMLXboV7/ejK+upnbv0pLLhWb3hi1NBaZhJjMvKaPE/oydyQ58JZJwHcCHrrWun1B5nXFsH+kSHmNhcZm8OyTuN6w8HZpKBMV2aAnQeMXLeDjfWUauXQ3i1ORDEos7/ONINOgbxze/nolhgh2kOnHAmxBCNamuZXO5J8DbDrsTlW/BfW2v+UrCQXb9jjgDh82nhg5zYrpUhZTV3bo03hT13Tv1gibO+Z3n9SHYnYMeYPyFXPSLz/cIt+Ai7bxzKnD0Cn7BCvGXYi3nFK0IxSzFPaWCueWvmZPxKFTxaHbBKUlBg567f4ivb2kwzauraVtBvSv1lE6hNPwt27LAUwE/qPWauTa1FcLlniE4QC01NrYyAIucpRhYtcu706FGuE733JLnWozI8xuw8Pq70FzGk/duWFqNPMZMmd+ryHotvbRiDmlnANPSYKql6fKIj5om0lwvQCW4BPX9yZsH+WggQ/PJaNqgs/bw5+fCEMXBqxNatMjOj1Kc+5RTJ8QJycZLWaWh/jvs0CbTQVgX0nRFOYW/Ew3YdTFM1/btAaEz1e/Ki1yIrEvTU9KPiwb4qpLFRJMHchpMV75sFDY+69M95s60pZiE2u0/wOcaXO032dfdy/Nt5iwGV4YxiVnsI72gTBY6z4JJUOkWhGV8EaBD1u5TYTxiz28tiyPkOn/zHKkLR4oAblApytZgDE4jat0WSRPeG8H4HL/eqUbdl+bANA15g+FCD3Hyb6JWo87esThlDErsUW43NWoASvUA7TzA/K1zsYUOP58T2kP/K6Fvc+lHJ42N2f2Gn+YCvUT5AnYe28eZZv5uUdXT6XwPkWsLtmA03yFnDtMIezze2bjCx/wWDOyN3WXkD/uypUfoJtuKlz+q3HSpsbp9z7KaHeup1ZEi1dzSetBv88q83M/V024gLJ/Psy8tnr868gCX2uRvkDDFiI2v2/HkrVxPmzbvCdP0NVSoGytBZ5L7SfnSEGWU5ArQHlr1FZucqIhEqnrf4Kmet+NvmCvfR8sUtaU2yXXP/k43dIYCRouAexJK3fkx8EmXlOg7xw4F7zXgiJpeFYOfHHI47YrAUcPdmvO4NbaVnYz9DbnckipMv2Z/2odD27m0cCnOW3jOjT9hZzkAqcsRBn/rSuAbNmldqUnCHaVpBH/NDXzpk+AxNo7U80aqkvg+3MaJd/ny58btfrNKd8CP0Id6ILH+6wSx5A7kYa4laAD55hcti3ulG805nmUjuqnI12VfY73zsH2Pw+v+6ZapenrezYdRNxoVG4IMSez0sExxOGu6ssb8ELH9ETXjL3rKl+wNr/18qQrzdzeXR3hFIctcAXQIgw0aARax87WTKOoHICb9krwFbQugm9rlRvgFBJ0X5mvpgZNBWZuj2L6ChhTVcKmvNNvHpUdLO9yjv0ZeDI2/U9mTh3t2s8qBPzqsJmDUBmteUayqxH6qAQWJdWBiBQ8E8/pqG+/3NP2v4XYetS6WqAlehUkVS5ach742yNobbgsQXdhbCUFXbmfcW7uqB/ydV9EjO48Tn6aQA+nuHUocOhf31S6XypxdZoi9Fi0f1Ex+crG2dFCfsbs8NcbwyIzcKh9/prfMd/z6OmcBTqqVVr5qAYC3CSN/75IkTxYj49GO5jZfaCDjmmcrgLyOvCaj9RCKfDIq+DTTSH8PPEvh4a851rdcKwW4xlPhu3rFCdv7fDJhillDj+URfhkyGj9ZmN0kgr2z3MhjU+eYMb7rEMX0cOudpauHOwh3d1d4MQf5v4M+NMpjbJV8sw5uEC0Vt0TXa6lqXf9p1PuS876JwvUrba2YTlMnDhPKwNOSvnfhdt7J4N3JUP93QxzyBjp8zXZZQxXWOtj7kCe7FokLftUsdaCjCrIYD/NfCPIeDa12j3s6/f5hsWYAjxCdxp5IaZ6gtz7w4EH1cUEMWlXNe8tefljn2LmGYA2PrEQB4CVf1YzG5cK/plHxD1Y9prz1koddCUrRorJkg2gw5j3/iyI9PlKKMlkQVAGz2PmxNAI52k4n/iIjVftDx7YQ3XMwb/7KUnySPpHJ7TO3L8cLLXLxi9buuh5FvbxaLWHJtRuOsokG7SLVxz/y5WhuuB42pBB70j0ZdcOxnm/SAGaLBu8rLG2d7byDjQkaAo7OzregQd6OvOJQLw8JfWx6ElBhe1VGsGvk1zCvlSQFWQH3I2rd2ywOrRXMkz346qu5mw6Be3PAl/I8O4AUL3o6BMR2bOpVSMIcgDHswrxIu32A/P2etYqq0Jmw3rPJQ3N/FqtQnvMGV7ScKtz1r65TUi1fjba3KPhBxE2yTgaa2EtlXtdyaj2TMiytNuotPYbGfOKDdo5j1MqmYoqyD9Z/8dugDHCnq3SFb2AG90ExHZtl3beTxfM5buejTdWErOVfEJMF41DMiXsvhSKKtOJyLUDn+c0unFKNs11b1yqVNUwOfPx12/jVAlz/6GX3GosHs0j5Jt7bhkNCppkAIyC/PK+N8+RD/mRrDSU5Ny1MqeJbGCj5WPyAIxA8H5bZXk7MbAXC3snL+QsxYyBw/U0VHfWWyt10xfEunVY2z3kGQ354JOxqwvrW0rAo3dtTxq1hq8u1P17I0yBFldDybwnxBKiceJXll0Sa1kyF5G6t4FxbCfgDEE+hg8mAEZDfagj5lQ2+hYF90yfuyqSALhEJ6h8Cta8541a5oxKcuz/1ucF4cb4FldxY8mAQJ5c6ImTl4ySqlkTDr+HNVdeaepr2fYphqclIk+no7ljmD8r42+JNMH9QmQgQYv5h6z/P8/P1PpylLl3XmUkULtjOgmFRokMkk3pYgHarWgK05OtKuNLS5ztDnNeZWba3O+MsKkggmAzhVY6c0gYh/c0t3m4OE1kg0b4d95bpqb2XmypqRFK+/2j1uTVCOlnw8bhHAMnaIynmwtaLMsYxMjatqm14GZUfYoIamypBVdP4LNLXfjH3/vKSM980HNqXR9l9682NZO23meX+Ud1zUuK7WKiX8WaMeb5KfJ/Srb9KAELgJ/ec3a9ncKNk+7m2PT0stXHVTQdlDMBTiW06bdMdWrXdP2DrGhJndLmIn1zgFsVto7pA1T0rwfU84Pm24zT0tSNXnDXv06icbHpzYmezwpiA+KozR0z/6K3Tgx4Fk2uwK1Inc9XFgEHjsm+HEEbjPsV939Mbd17Ly/mfpjHfzcHt7mZO0ss7K7ugSOhSXLXX5jjfcK++oGfYdPefvJeY3NvcI5Cr3R5ryhuzxFm5sz8CCjNYywl4KLIZwnf88lt/s93jrE/wEh+/WF4JQCHRhLJXk3NZe4xEDfjTw+sean5NANGApamK+SKDxzanxI4+8EpNwdH4tL6AzzOznnfysaxCxrzT1Vw+4T+nbP1J8gdqekZ7qTGLuB5ZHK8dI4WPFM/P7jjtTSQdpPPj9RNBuAqqOJ+eB4mu4rMHATjP9oeK2cB7Pl60Lix6TjpHDhMnW9tGr+9WeB9OdnjYE898Gxp5ssT259xwVvG+Q+Nkks5yI2ZCXQOG+/cQTzC+8YI/WT9l4s5lqeI+2fgoieUmfX6OFrqR4L2Vsj0n2jgBNMbN4QK90utU3MW2DXrl6ci/Q0xfVD9003tCfRYaZMRcwHaVoRXuzZ15D2S1A2B2+oPvIZWFWYPHKmPU6Rup8hzQWvfeFRusPY/Gvt9DnB3cM8zGfK1gmesONrwLlkgXwEmcnM2/6RCQg4GPbzuNwBIoC2xrDVwz3D7W/tY8z3gSnsxs1zq/stKAwT4RiBTf22A98Rs+Od7sK9e89iw5FUPy8Tz7aek2jPeopXWA2jpvhLejUU2TXVvmdlHJSU41UmkgE/zAhk9fONsMjNvKbOsJ4vJmlIUUIY2dGyBA//zCYQ/6yWgvZKKfj1YPH1Qik2tD2TUr03Tz5A9S8fMk0pNv+SaEFVIB5tZzOPeNr3DVQcxayMKeeZHDOEN9D1opiStVn4490tPO/4+M7ck0zkvtDgJm5/Y11JZ00/Ty1sa/rHpQFjK5g3sVV6aWWdFWzJLlSlLvpsQvrMGPmXBz1nboNHlzZxMUJre0s5fzH2LRDql4ez9472QL3577bRua8TbWsi8pBxind+NGy7T2OjEDWi4PhUzEB59xLol3FUfsKR3EiawNnrM3K9Fwv9LI4jzyHMo5XvDj8Rljt+6smT2Ujmze4onTAJ5oJdtUA2qBz4tjYeUCNsLvDd0Al7NOh9+nJ9gymeIC8zs69NU0coIno1JDwssiSWvwEWWE8VOOexf+P/6EI+pa2ajq73q8Mvcc5T9dl87PGKmftNSL0yRXVqqTQeVm7o94mBT5fOqI2JnlqntVi037wiRI/DyfR1Pdj3Ijyo0M1/Mc8t3zNtc8x1ni0xR+53GScHMPX64xaCvgENxbryTQGeijLZI7f44h9dMiNN6+cDXXEy/Mxtw4EcZ9e+MZhsVAu/Rf5+gXR8EkWe6277PDz1zf3g2LqO77QZi8t5Ynn8e0mflTOU5/oI8Q1K5mxmOzExp+G89e7Dg6yFi6Zj5MmpEqerIxDuVNqB/zlFiuC2kTAK5lSAZ/6u5tajmKWForBAvmLVsgBflxOROkfTAjHzmtBQ40XpwtrQCzK349ZU54cpsfpXD9pAJtAK/ewHWHJW1AX4w3YEDYu4SX1qTODP7fT5/IcBfgcvcpJPEgv/OAKenyC5Bu/rnwA9NrZpA6m7qrGtKWOUaZ3T0o6hOzIwCUFG6tpLvo7NZz1o+UjF91LQtqg5nmesX5658cxvnYG2c2kYF8CRJHbvMR1BIFu4xS+Jqt6XY5nfAnE5ZhJU8e8H7vnDLY/C+vlOn1ZU5D7A8VDG2VlH7A3vkCusSN3F4YxyPsDbvs8pvCUhcD6B7CuMfpow/edhQdcJj0gFnewH3P9KueWBzPMDb6Ogse8DpEVByAB25l0PbZsNSsNHHZx56tMdBHSapiEhb6XY2/f9v/WX6LCD/irJIOOjgsi5kyQfgbzF36rV8nU2PnjlvicmU2ho3EWwjjYvfmdDsy8yeCCrRv8TYr2ZuHQ/8oiq+XFPfcOLpUop/Z0Sb3JkuGWissucp5G8zM3WXWgmtbMLzCAcskiXoG10LPZb666asKQZdF5BY7UvRVqABEDeYRf1v6QL/7lOPx23IQzSf+/Zh5mK8MYpEkAcv80djkZS603oulEWRikQvgYfZ/91JTVIBO6u4nomVTKD3zVncKos2FtHVk+HEaaQ/SsMnmA0csC24aCdFuZWx55tHOXXEP9J+FqLDP6A/mOwaq7oA/6HwXeK/NzUCGgn5XUVfa91J4B/6mkLEH5wFeL0dQK5LVJzcAV/8tJ/CM9JtU+gDcVtZDe0z5fjdG3ipIa/SYWs1fMqyTq/E1WkqQPeLu208ImCtqlMB2GX/hT3Gf/1hRej1Kro/Sofrg6s29eB9nEHe4ohnRGgzDysSbIly18zDSt71G/Ep5t6vb7HmG8XLpc7vq+DJmLElwDHbmArM8rLNiNW8TmYWu/GX7z2LrP4H5JdrbYOe5j7sW/JxXFucm9oDjuH9ogFbHnw+/k9/3R+wDr/+G3nnn4zOy2yFMuvupitwHRRaUuBTGjHP9PBVQuIcXiHEbCS48V8JPfhO2Wn3xz0F2NzNmR4D49v6ka74R0Wm3l6965YTxlNzj/BoOtDtApXGjfDEvCgPZF/H+gba0KKFf021qtJAb/iYAu9C8+8cEqd/AEYPeccW6qQ3c8ebWk8X26jDgp/UbrbqNfl5xwYP55lzn5QOiupBtVWHZjNbkmvVAkfaHEB/pS5P2O7PI+O+mR8GvGzKjiv82/EcOdyf5DJfmsFGgvcbGpEOcLdtYvgOFpIEOOF/34sQ0MucpxbswxdogdzswXPYColMb3hmaqAepZiemW2cpeUPt9HCNGlF9OeWD94n7I8b6Ok9G9tSUG3XyJ9yitcT2lvG/1eE93eNNOxJbMmutE/h0pFY76hjWedonlisL4Il44mpFfLxxvTPgz5zIG+ngFdHumYuy/+41Sghb+Gi6iUHjLtl4uup1uQjX4GPoeQb8PH/fMyGiWXATcmwvR1W5irWWCwGHF4xr4v2VSH/hovmxRzycyqyl1q1IIKHoPdSIpY7xAshvRaNzWcqts+z9tvanQLAO0aAG/LxX6/ZE2LGnGuRRiS0plxIB7Qe1XvQkAMR6LsucAIcJq5CyGVCRRmXp5TrsQ7ICs/ZsQI4zpi9GGIuaDahQP/DdyoZZS4f+c709L/7iXJ7SipHScA/kbnSPSFzFy+JQrgDKAY+pBds/XFTC/4Ml4vQSXGGIBDh/Cl0a9YDp1wdufO0ZeGLpihNL5pXheqTjfpTjv/m0d/g3XR5qEyNVAI5+MFAP2cd6ZpYF7jffgCuzXwE3ljw33ut47p/0sI809/beVABcOBHE+gwt3iWO/NvvWM26uQUXt28mOJSvOfR3x917H8CV5hYoHPA95c0vwYuj4dlED25Cs5d3G828LMW46OUF8olxj9hBM4TcnN+1J5idDs6k/s/H+oJKYZv0pYJoSg7Bcn7bPkDdM4em9nDkH3oWK7njt0wl/3BaS+SLfYJOPU59lcySMAUky//WpUw81YBX8V1zY0cjOTHSZRm//FcyDiz/Y/amvLz0B6VUO/5KQ7wuFPDWgw68ngG3pUV5FHZ6Aqa4pSj5JD1SXLu/B73yyOPSyt1Cbz4fpUuJ8AWrgfDKTXygFs80h44vlUCP0wksUtX0N6h6B2HM7yZvyvvM0/ZrTjr1j3afoGZl5bdl63EYoH2PlUCUBnipYGspCLQY1HycbCbpYqI8cetjjaPaNwWWTHdBfNWyBu26FtNev5gg3zvL9ALzWI8Mg7W7KZswjWF7IrCG+iyTWb/dbjQVyEATzmimdieIOd2oGl3oKNYJfiFxcw9rGRPBHDEy4zPzLucxRI0CEW8RyJF/ls7jCVTR9CSlkDXVYX4UvdTynq9F4F0aT8tOS1X7qi7coBhdBgYEORQ3Ubp6OuyIz2867Xs8HcdLcAsMo9f/jxkJC8l8OMqlh+gp/J3zGcdF/w1pzjUO2JmPTH8zJwpkvC5LAbZLDTwEfxDwv7FO3IgCO15MV1zmm5Kmuy5O+1JDNzeRn22JnkmvAthyaFyUZbxxIL8/I4N0JSZJ/vlQqw/VmWRH0nxgcf7h4J15VaiASM/yxFfzpEGBEe9KBBw/r3bFOnSgP6nugd+5BVy5DaLJs2YarOC3wQD/RqZun/9/qz26JAVXyDXxcByOpQLYe5tkhMrCGUdEucQffBet9iWgHGypPEevvfSKpQcAS+MT1aX9SiG+HtgBlzC+bJohEpiq+CsYe2Zep99VcDJH8rU/rl6Ah1aNNbeUxB7gJNVHtofJ9AZKcSj6tq+AW6aWl9P3MvoFKQvc3asgr+bU2j7JJLZr/+DnZykTbI6tKPa5Ui+tm8+vxxX9gIeNTWODqtQJjhQRb3ytEHSBQ5yoAWO6t1cQkw5dYh/TK0pK9Cd8+knH+H5BlOPA/zNwp9mDkAKeVoNmydlxDV3dNwm7zXsyy4B9r5kkhHgfp5Lh7aioQ1ckJte45WGxD/FMjmLiQuWraYmhI/Igjxw5RZHDGXrqZhw2nsrxMpFxsw6CVLBz72c8m2Gw+17XvYI7+4IuoRWnV9KZ7rDexNVmARyMP4hZl6Xylk0czyQ39lxWaHGJiI5rOF6tDgGfHVEoDY4mnvqeMxgAV/3j3OgUoZ83uTbd19AzLp2wPTLwmtzY2wpj46aVBHaZ0CUvOPHBvEji4hoIv7DneyJ4b2cdvORhs+VBtmGACbXCD0JCp8sAj2x9h58BpOO7M+7WQLmvbVex/oJ5VFCzmZWy9jfiOnfFYrSIqmo1bug2y+yzxyBkohyuYN3/mk8LWiAIxLe19SWPXHmlY7TE/bOQ1LQEJzTE29vMpynzJHsfW9OOf6QYXijzA7lSr4J2rvUWrrK1BcKeAf9NNaufmQjv4BmeNUjaGEt04PFad61aY5C42O45lZL8n6/CBE6uZkmWiQliZMgL9r3GdHAx8aF+CJUKMjkf+ym30oVAF8aEHAWheHzQUfxKqf8BDgN++f+VFx6mZMcS97+qIDrxoX44CoEDnYhvXRLh9wrpPtatJ9KzO87xKB0JpT13owjc7eAF9A3Q+ZsHCm8ObWvLul0n3fJUA7tTjL+I5h94mOb8lASYTzqhu09HchLQWyYfmrYZ7juFWiG6ae25bfxCnnX6aXWtmIOhjX4Y+Za5KTwdzS8WpVjd4DtH41NDpAfTpWDQQfLrhrmgCGe8aGHTMZHCZhbBbo489Sth1byyHjZoR2gEHAffAMc/TdHNevlkTN1oYYvrWZ2OiApn4K8xx/52AYyXO5pj4FffD0rC9SEreOT8MJylHkT4DbVvMCgn4SwL+ceuBRCdzHYbc1VBOsojYfnu2bJ+Aueu+SzZJNlvHCBg/2vZqrfGm//G/z6ko3At6NwAX6bV6PpdfbXc4CfwF8/08I/cYSBz9lZ7SBSso0NcNvRgkOe8/NTmLzrDw+NLj1aEIhbHKdoujDjqdzrq3L+PI3PHOj0neCNc1zlh+FIlOn03FsuNb0LY/KCvcvTfHsx/hsy0CvwXwLvFjiZOjYhWqRA7zVs01FjSpOBOhiwEzR3sQfNsXmVHFmp/nurxPZbhIjLMAF5qi6lNbfU9p+12BaQp47Ukn522YIATlrjlalsgsXQrlkPa8tIW7roHfPHw4p9gbhDNPIh3yLcf3nAfY+lVTq1Xd4gT+pqN/d44LCuGWBde8pXQkGvPIB3WIRBjNvlM4/Zq+ZS0pG80rX9BL5/I0if6lW9Odu1sbawB+52KpQlOlKdTJ/VkD3FZT4pW/sEcm3N7h78zDtB5SZjtlUHrX2O9h5g1Y8aJ68O8A/g+04GyHhazqXb3nIz68aV2Vk0bw3bHSydcJr0df8EfkFo5szHpkCPcwEc3sxjhDXjBbxNJ7yl45RL0Qrg+GtuJx1lE2ji8FVbys01HlOWPFhXvvJOPtPBnLMonfXTGw8pMfNKke+XWt7psHfLrllOtC15h49pID3GthNgYcx6vGAkfTNrPHO8hbkJOVH1Azh2N3OPTX0vdnhZF9MF3jprgr8PNvJPIfQ75vvczMPtpx8cty8q0CkD7g88gTUj5EirfJ1A6wFnf6bsCj8LuKlj70+UPLMVw94ETauxx+x+BS6JQEv4KoTcsfreObQhh2jGI/td9yUa5mnQQLFyQo+NSVRH6Lsa+Ukw4xSbeMCBE+mgqgkU8NxsafrkQ/3eJ6O8EdPUWBPgMv5m5h4zAh41bJ8SYp277c85nDAZ+bte9AXxdzsjXRGGUQXcA3LIZ2VNg4zuxj8Gck3by7GNDrY/kZ69MoFZU0jIeWhXv+4u5qDfV81JQZ6nSM8nTiS1IZ7Gq5v1oH/Qv/kpJR+WsbS/TL11DLiSNzQJcDE9hGhv/5tD5JHcmkLaL8+stw9VZB/ORpvGCFcIj5Vt+AxueUA0sdq9WgkD/fCCdzew0Dulzv/NkhARr2p9XWpQ4jV7rjn6C/8oV4y9m8PT573XN2zKIKcfBS2fEjTSCSUz5DAOe//YuKCxV9mDjtqTQRe12+JczFGqGxt0LDoLZL/PHIg9eaX44+QD6Ft4luNK7jz2XRyrtkbkCbpqFeP1QdH0gd0pFlHipFrjWjebOsxAW+gn4f4VI8JzR1d88Dgep6KEvQ458JGGzRujRGUG2DjbGPgkh9yRn3uOM/r1OA/24eCUkKzwk1PknSLQtsBn6pFnJ9rb2Ln+r3aLli62ycXcfZg+GuMJew5aRozPmalVd/756V3kiPMc1AhFaAR+Z3Q5NfWhEJOgZ7X/P+8wrUFNe5jy/ExbnjmN1wy2U3aaYoHtE4I9OsiEgt6Dvb4X4QJ/Rw3mWargX33UA7SyPrj4BfF9qvP5f/1ClnqSITmpobepsBkPmU2BvxwdT5uaA2K8dwPjpT49sPHHjSFGLtvPvJAZ5c0ttTGu3FZUq69ZcX2fpaQlI6iB7yNdHwHvD3msM+MppkZ9IvHkUQEaum/bylWfkHMPZG21Mr4sCBgU0mUdkBhwzNSVPX7rzfRkp0YnRhnsZ/ICTHjz+fwco46/tgcsSliXL1f2tm3uaFicQN5EZeksBDveqqzQI4M31LC38/jLzvTe+OsvtZlIQpGJy2PaI1nRZOQFaDTrj5O5yaiofO9lt7L/uqTgHypOlwpNM2SXGfh5VXcpYPky1J3UqTmp0T4+sex51oln5mkBn7AMz2P5/AE7uzd+IqZWgBgHF9Q/QTt9iHCCF6DK/6tnw59sbLsT6AGaz7NiM2Fuy4DXYRZ5oIRxDnphbYbppBwcACa0Koa97E5ZDpqHaMC3GOVKfHm4n3szTcnMOxIiMXrC9LO/fb/NvMreeF6VnfrEKw5koWju6hXy+/Fc4I461ycV8Pv+fuPx9Sbgu6vOzGJoY3ieX1/bX88aajz7/z7pKEseTxeB0EepQZfGyfsu+1pyfUmZ6X2dStXbLxr7GNN0pc7ykRaIK+vrBjp7B3i+ywf7m7v9hsckoTR1pKnxdNW1HEFnaoMZzatC7WymbsCKvkrbN76bb+2QsMHo9v5VDWytRtQpe+opn4Zslddck/sp4JuD8YUdQedH2e3wMvNWQf+bvtAxkafCeHvyD1lA7FLjhSW9lO6NX1cL2ik65/P73rxrxP0J+vYIXCWUYrrBKu7PQt2Bl33W8HQnyn9wOHcZ44WI2jwXypxXtySC9dOhk5l6Xqtdlf77MB5AqeO9miEZcNA+Zb5lZHjPUp8RC9o5W7nbXObkzLxv0UucD9Mddzqo/ucLssmELEE/FqDrsyZICO6SEnQVLXVmsXD+wcP2ZGZ+cI1CeBbITxx4FHxHK3zlVvK+44DvlLi5k76Y5uGpwClj+AGfucttfiAcR0LMAWDKj5m7dB6WJBOtW/YI+H1yr53kRFcfgw5d89V8X/Qt0NWrqG/6+pd0xLQp/nl+/nA9VdxZnsZ/IrfxprRlVI7JTx3Kq3LL13nsnXOhcAV6sTa3EsJD9WX7kQ+bBwltfArasQp5KEAPwn4uxUAqpac7HVUhhuUB6PL2MPGUk91ov7fqYbkrkXw3tpwyKwVmj2+g/18VS6pmUKxykUucxa5eW5G5+CdzyaRA/+WstaqIa6XZow7nCx+2F2JNi8GMevVPsM7vXPmsYN8R0JDAtwRnoH90O4MOtSqx4GY1dxXTp9AorVzfOQMecMYfB2vJTxH5qB3+Azjs4r4xHuodtrYfdagXonEEubVX5kyK/fMiGHMOvGG31SwmRFpmTgO3mjVhJADcM7XdzrQALjDQQxlo9rBijZMimWfaeAzrTaZhn4mWEMveND1IB9cPBcKPE5uZCC0zzOifB1fukp3SEnJwuygze00ryKfY5kX/Mn5CVYRM7fPy6zFpzjWKBHIe8oFd9LTXB+B7VkVJxF3TCzTtKWjWM9ObWuMjL8wZOf9XY9asPKFRb/p6AmX/fSnHM2eIoHvQidnoO1+TF3DPiIfG3hhFpDAzllLQShDnXN3Tzoc44mFufLOQWpqg38gCVEpv5vnCux/sd037U1JVnAdunxFfqlH9SGH7DQIOwTgBHO+BT3i425vzhEzBf+PAfxo7WVMmIWK9OR95BQIGOBDbnLX/kTJTY7gAoWhb4rRJ6STvWsdNE2lZM7Vrfj1CyGdqa5dFV5e+tk66NjfJgdN27U8DmHe0tldW4PJ/tT3LC6/lUuZbT4n0ocR2Q1HbcUcuJya/+TDjqsM+8NJ/dSn5kC4HN3uWYjlmAzN98t258FPVaXgP/AnafTg4SZlHdl8V+srX/gaYsp5299u5mH771etVPhr251EOeNN0vdvYPD6s8HlsulYavbV5ZDzSiJ6Sc9SKc4ifZUFK0KDAh/wD18wBHf3IQRplRe80IFFJhyYzZze3gQ/Hrdm7Nwp5HPM2KIX8gLj3Ghe0dySdjJGfepTv++VPOSR26mCrGqYPc7eAgy/vHMuLCvb2SSQFH542ta4PFm1uqRs6TYxSc9BUATZWAZkyofxfb/WQIOAswJ4ZaCLeAhbdYY+XCvLEOy9LtkR4bR4pRfdm/Xoc3enjlzdZfGQsCc+XP6CRywc29ydxajQjMWdrlO7t0sK8FijkK6nooCbgBQ7t1XfdG58VPlXOYjx7/3HR4wrceTfvD68Zvj9xVIDN/IKpieYNjWUiCrXhjJxAQ/rZqtiZwV5wEWcrM/VeT9CjqxDLjdvwnBArp4KfzuYuiE9hxf1vUzv01uYVNzOxl+xg/bG4Kw/VYDlN32agKxFfeVlxfiFdwqoBorTgdjbMIagcVFHswx6Z1YquHLCIhMyr4t99sksDyC1F+80t1Z2H7fc/7dAjajwC6hBNjZt4ZnZNM2yrhrVZtcJzU+AMIZHYWXLQKzsy4tnk6JRfl+OamRlwoGPmCWvyfQa+TiLM6jDxeBA6gvE7aKa3XqZK8xZ0/MocWLOQ9xR0PYlxmgK/OVgtwxEeIGcUOXwZCvog4/yUUmm63j+51WKIp8j0VtamLtEm95S1T+Yk37WLzd6wG379N6e4orJMO0KaqNzkkeeC/hm5SwZ4h1XOtmFGywX4xZy7Jg/6dhomphaPyQjty05uRIjvCnK36PglDRdMYO81Fuy3sLdJNENs/tN6mg7tkxaE0UKZfmOH9LbIhuRp/KfT2Df1x3dRAE6O5ZIz8ij76aOxYC/TzJXj1YL4+wQe9ai7r4UVyaE0+KwnyW00H9belly+z1Im2OMTDZrHKbSXw+vPA7hUxUN9UVTNwGZB04RWE6Eb6O2wcRVtrDYrbdjLvZlrz5cmRDeIjbLs8YcCfsxQ+yNX2abjtJRrQgwnf3Mb2BsUeEgE+7HgXQa8me8Vb9k51LaZLX+mGew52KGQe5vCN9rvA3jnqQr8LBO2LoH78jAZZdi8ZKRkzpJFRfhVripQq+qb6B8HoJBXHUZhn1KSU+trJTy1M6ZGZpEjRhArjsIn1HLQOnbdL8fa0beKTwfKtZuP7ZH13GMMkazzHRaGHmbyRF2Fj2ubZVT/nFn6jo0SctlYsqnMiq8VcuRHEze2crWtRnP3P+F0IFKE0quccmGuLiGXgj7iP80AOn+wd6bXh8T+Lnd9Lp0Z1Rx/cDs0fccIcrc4ifTtHXEVbD6Zc2tJ2QJ75V7+zmPjXRNKYjw9cz3NkEcJDZKjtI1n2jylof0y87/OLFsyrgXg4IUMqqhF6GCRMIkQTkNmtG/ANHr7iuQS8bws/G8yJgXkhhfwkbwSW1kD/zoXf60MKG5p8YMaOC6tbAG1ZRFENrIjTkN946MxMk2SnO6dxviZhgvhmnNpq0L1X7fakm/fnm9YD17HZDH+ErU5GzUeeTbpKrsx9e8Qa/NNIfmgHXB0nuxxqP1TqBDr/m5ol2jY1aALvzzgg7eMoSA1Z0gB6CwX+Inrf+K+/ecjjYf51YQJzl2pzTw1LIwnvb5lOhnLtfXVbgvIkYRp0B6aLkk4ApVO9TPr+g0JIf/AZwKO7dNC2SJ82rBfXqCpLBX7Emv1Kp1WvnMK6JKc9IhXsH8h9g9EqLlyNWGOHkAn3eH3t4rZBWi4ILcam43AqIbtoWK9k2m2wUMrM0EKYmfGcwFWRPpZrxKIN2RmobG+fMehAzzlpWJzBq53ALIWcxBqxLw72slC8j9PPPobU3dTB4D9cTsxS3PQUVYa6DHtPVz2jfEaj/NRMiZQL0xtCk84c68uKBKnMtX0//usu+mZ+I1PZ5lB83xmVBbAAZCybEwi0p/y7Sm1PLd0/z4xxH8NebrmE6675sbiNj/DZwJmHIHXHGCP3WVBHnIkGPjGruEJRJL3jvk1L8IHL/gOtPtDAderRqOnSJw7aMCxnnmhY05lT9f2krpyYPk2bRzvp8q3NzOlWwzzrbSvr1okvRQIcoJCCp7j3N/XzEUJc5b3OYB/tK5LxfebnIM2sexLFbSDAF6Iw/KRDtMndiarGYATU9xla+gYHwceefuqaP2abffny/YTsy2pnN8ap4EBV0lf80VGmXd0ll8vpXdfgOlNw650zgF+pYC34jIPslM7zubVeNhVke2DnjrmLHvlxZTXjiKCI1wxdMssHmRdC99ELgqVi0CyO4MYayz7Mw+z/2bx6H/ezqpoq/+87F9ph/eQ5R+g3/VZpB5okZSM5ECjZQPxgiCX6BpiUnR/nXIlLbfbUrElqWzIm8D3RbB36eCBdmgHGau8dLiTj/h9h2gfLO921u2Nc9AckL+YFd6Y8HbU2t6qQhIqvP5cJHfj7VOZO/HBaNWpYMOcExs0BUooBaYGnDtuCvSTajJkrF3O4rqAztgojo9vnE/7dpdrdD2FHPIgW7IuBA5DAr6bM9CSrLJVAv/P9HSCDk/2zMY7Ei6nGgG6DUora7nIlSBK1Wc1TjEBfVA6wJ/FUpQafcKfeZ+Zz6Tzj2kh741LvmGpr2xI9ifAYsamWHSJBJB3zrw1vnXP2vTN2VJS4AKNY+6P5hO7bNPMRp/SsauKLZCbYeV+vbnkrRpam4n5Xz1AI/6sWf5nMXUiAu29PAYe3et9jVBH4Sfmo3/LLfSJX/O3shQHPaZFhMys8Bdwc6GEBp4zBZy2z7zHiMLP4PFkgWBivPdMr8p7fsqr6ridc39XQW4kjj1Rzj8Ag2/A4zmzFSFUf595MvL+zwPwPKXmXinEQ0YhLix9+PXAtpPHwfWvOFK7HJGotvEqC8khN0vuoreGffARNBGSAnAqPQftri78z6pIJpDOLugpSUdcpP2ypMbDOtKgG3laum0OPPVeR2SuRQb8Rd9PyF8PK+8OEF2/OLS2ZQXcknH99liIs+F3jnyQGeXS6Z5F5ZMKMuQC/zTh9DT+LjhOYC22AQesBHyKQaN5EqUOjaYLRigBrpKWNkkzx/hILz80slwxlvbR/v/rlu/PysXOfx4moEGuxv+Ty9DbqZ5/Y6HLFGlyHhvr3G9Dg+3Y9TEP/gJ3+lrqPoG486d63bvwrnbE5d+5k2Cp1VDb2k+ZJ5XlvfVykLp4qfNtxd2ky1wNeR7HkEck6GUTswXvbTOH4CCt2Yf9c88KnVW/s6TMvIvQqRBwlBX4TyT5wSJ7THUmYD9K2B+AmaA1sf/WlSKcEmztnyVTN+DQJxoot0LpTdm9J2MeV6DNgXWHslCf8B37k/jzyiCPwdv/BFaT1oH8OFh74Gn6gwTZLy9oBlnlRe/RVR8kb999o4lcy2cVh2bOCzsjc9MhbxKymPEx5z33yw71tGcrCUzti/4ATnVKzXxJwHXQYlHF1JVqmYNu6hUiS2n6qTW3qwDtgKPtOVPvc+ywRtzclS15EG4YQi7vEz+lya1hcoU1Mr1PFmgwwPLpas7f60C/0nzbE5vnplYoBz1LHPRIC+LTSP3gSEdpb2tS+LeMJomZSfbWsKDFgPe2m1MQmtmHEeTl0tTq52xBR0sGKceIWWoH+P6qzH1OmEDGRxXooN/5D9zlN0GBtwZ8oYNOTmYmzvC15E62yDjpzZnl+3vxIX01zFtTeF84JBvlbFbgXnZmT+gcls8zwkHO1JS6+6cSC29i+Uij+a4sznNHmTUO0hAb58hbOSYJ1e2eMcJr4PLlOFVCt2+dAmuVLNXu/jx3GHiIDgTwPhOXmC2ssaxXObbDOWwfleEiTJ/Oog1AQ4XcJrqJ9UVaZhZh7ylHuefC14AnIYU8DX/nmY4YdKn/5hsF5bIXkT4qZ3Fr2gZV356AP1ignUfgHCjPt3tqf7kn05fA/X3atT+swx+H1fjhKA/bWgNQL8zh8mD3DrxrRpzZBy7r5yMPuNbv2PghIXpWvdI4v2+yQmEzK+8UXpd6lOvx19ustNP4amZD3vN+3jfj9MFE5gjaPClTmYq2c2rLBffIStlEzDweWDfYE2guYY8f7X8eXN+AL7R2JkfGE2evrSvRdGWAUcrM0LPI50loTxTXWzP0HgttRsz5VIQT0hNzf7MxMy9IOH3y6O6dzexw4CXS9MSHz5vxUxMFfp8DBIaHQq4sIYc6MkDfzNQ3DvOJmLlEoDeY5fnMBT0nenP2kOOg1djB97pI3TPotdotN4c1fRzXZqmRBoUKGlX7F9Wlm4NbPlT8z9dRgrK2TsV04KFnPCultLwoZckPaNc9xGdSRVKzoD1KyP+1KDcnpC9ll/iCwbMNcjh3/QOLELjJ0h0d2Ss3884cOL4gzMyV49a/PsRNxjbPDLjmKSSs7vc34Js/km0Lrku3Cv46pmaPxF9u5aJW7rY3xv+uLMZxE/GuFu2U2uqThuRau71NY34lzHph4IW1Myew5y3aofeZ3sTC5Ml67DD2fHF3wjJGXLlqBX7Rp4DFwGN64NkyD5PYzLVWI9kLqt20T6y84Gs59Jaypj0Pvn7PD7G1dRvgclXnkwy0ABfK/YcbY3KEPOfD/vBYNFV57MeAEwIPNm1G3yG7rRCMvNSAj+WgEeZ7M7Puk4lJgF6SqYNYpZFtumkyi8znXibAl24HZ6vr0FtAm7/vOAYitMvQ1TtT3NIBw87iXR74Imd8EYMCrURA8/iUUgzSM13wiMj5MvcQ16IanquZTfB7P9a1ZgaxqaXelFoXFZUfTURK3r1ntZgZCAkFEtHn0X457bZzSdkNeNBNwmdVDg7hHY3Y+H3FPuVWawOOhOdBpsqSkwhn0OnYZhw/OLwfHITPfCQDFx7iHbFBi/7wSL7j0C4vWw08KKOBjkD3GtwZAI/zpk8eZdH+lNQPVYBD1WGWB5JXHeSUSKVnzV6lcZwQ21ve/b1Jyj/Pelpx0TjSnBc7fwD/9dF4rf+r+woTKwWMTDsFef7qKuDJirdD3S8/ZzF9A9/pThSNtZW0FZvzerctagueOTLzcCbWmD69IblhZj9hLVAudMKMD+2vH2mCSP/Pc+ZyioBv0tacfMDz81tN+wfw/dX0UuABl0dX3+lr+51attswMouRf9Pid46VZ3o2gCfF2Uh2qfBa0+crBlTU/+uzp7B3EaC0/87LlZ1Zee9FoBcPWQ8amAGPpXioentsAOsqRjTgrQM5YlcJu+UhYFWUrjlo+DMtX7mYX4BXkjiY0bEFzJEaMDPBoYeb4Q/wcvVfD8LMmrgdYf0qM9erGnGVCvup6H6l4QQachuQ4c+ajpCEQJfmbDsxYS+EqRHiO8jDcIMtZJG1tSF/7JrQozjcFo3m8bn3judeFcZ7+X2mV+bbsuSElMD58w4V2eX+xMIrzSyIEnZEFbcPbmPj2dpDruzSws/rcGlzV514gUMeoUvd+SNwoJV2JCOUAE9HnRpmc/OxBxx4awd4z+2hQbLMNL5yrRbMZsHFNqyH5gY6fkdYacE+T4yPNSvQRwmZrYnUg/K2y5GZA9f254gQAniFY9UzLU8kAh5bGA99dIBnfON8zsb2qaJ2D7l85NRP8cjHHCXhwdpGoBtd2mMuIx1APirw2t5Y2DzxqCrQOoL19o2Mf11a+I861Bnk5KUKOIc1Co2GU6E2PRT/egOZ00oz76DU6S3rTF2PtkrAUcA+eN8ooo5uz2LZmbwOmqmiXeum2geuARjFJ1PHggQCtIlRxYTxNZYW5B9HxJgq6wn5Vr7vlze5VkUm7FstZo84hAGP3MtiSkQ/gZbFTwI/H3K6qWY3GnFKY2z6lg80wAQXKuMC+DDjTxxfN7CfqlyY8xF0bHo8ZUy35P/mE5m7zZhbd68xM5fd8Mm5Skore1XhfAIdeVEBcKPYzCDvncoJQXeiQypSK+OqoHHriKJ1QGuYHPykKInPKCkxRZOMNhtGfWbuwN51ermWR8rJit1+ORrs7N5eYd5PM6IjD9gDu9NVFVPAVgR6busRF30bf/5T4ffcUqwWC3DnaaxBEcCzA5Z4B9n3NoH9ytD/ec/CM0B+5ab3aQd7YQ+cxquNj16ICcSKOUs/QE75BN00niOIW9Rv6DBBfvTW0pU74L4Q/8lycO5mRn14tBZSubo62FPVmJqZ4f9iA1Pm1rGPa509aJS56SpLGfQ2Fl8b09+FY+0AVymaTp2qAva9G3pymHf5a24FcMaKX+189TXotZhF6gC5WrOOXCHbPrN+Br3L3vdE5W8dkTMl3LluJHALpf0TNT1ucZsDjneKo8ScldBBuaXtdyoifX2ZY+40q6lrPYVexy14FgR6dyC0tBrgr38fxNXXWrCHDPm7LuUzD5oNNVXL/WxmKocsNGec2QN4QAb8a03tZlPDd68s4yfEQdEm3zlwOGlmCYBKrATsmwJ4ZIE74KjO0SU9rMORR94H7Dfjff6uc3DU2EJW1ad0/brllH+XTGJp3W3i7i2IWcQDcjxaaFdaX0/AB0RNnWGksPFEPwsb1fYU0BjNjNllGtoF48zlQWnmZu7NrBa2vvsr59fBTZ0zV/lZeFpGPMuHZQeK7ZnaxmN+AeopMfC5T7mSa0NbLQP+AzuAAxeX9DV/5+HEsh7PqofliNV8DozHg25zKtvM0mP+f3c3qxi2Xh2hR8Mx6NS7Uw7tkbmyO8foyAIelTzpz+H84P1cwT+/PtIQsyu1LFeJZKidxNzXuQrt7Sq0D6BvJ2ZLJuPWP9icU9d/n/eODbu/RA8ZKEg6yG+Pxk0ioa83oSUxfmenSN2zgcOHzGm1svU8YNCW5e0MUgE4jKPMvBVbZ6VOfhTgMjAU0XQJSgW6s37xzsX01uYf5z6EXNA6wGtCYHLHc0F4QxFwZY55NHWl8aIVxu9LzXnn93kxXVME2rXgAnLHo3aBAYq5rUPeNVG7qVZfAJ74adgmdcGAP/6bJeEZzwYzPyyN+6e8bL9zy9tXHU7xqi5ynGj62r7wCrqZtWllJwj2rqn/HRklLXA/38xlqMyZ6CCl2P2x+eXPJlsh95oZ3TZhwO/++173RXZt0qx4pgF8b40fVZhk5zC5g37ETVw+jvYEOykpaSgd4M7pcfXpiaYuZnfIH0lFers1/mCpUEtlXdcanpfrLzOn6SFfW+MX8P/PocuAnT9PKME5AlzqmlvZX23Ry+ysAfMFZEfHGw7OEh5X+ThfthOo6Iepp4Z8vJT5TEh8dYjVojpsRTPiqTa+zb39AI5NWNS8tcOOBHKHV1wKJl0eJ2nGcQCc7Eex/St1kvEM2qiydNQ400Nq8l1T/E0t8w6TgqHpVOuJ0YIsgIWlCGULGOnL4muDA7U7x/LG/t3d3BfQLq3pY4C8TCRgNB/5DyuS3TmSMXXIxeT7WmznpvhaMuoj3Ks2t5ZHPugH0TzM2PUJuO7nnGeQ59z8/zH1bd2t6kqzf4mLyYgfJzECYyOC0AX0BsgjGAQmNrExv/60srbznYc99pq3GKNWV5XUXR3GH+mu/aQCB6WlHyXs7dc5Nnb1khWohZ93hDyUVeJ9oasi6jwnwPs+CeS+U7A181/v5t5Vfryb75fTLjOzuL085A8ZXTzQv7A+86o6328Kv61Wfq007oRWr7u2bwp7CvDQr6x+IRa/AM+I4Dv10swSg5wMesoFzORmHgIT3FGFHKnVtuWoo3xFO3MeKwqyJoNnSxq4HGFE2DTVNC6wnTnADl7n80sTLjvc85mI5Zq5IHmiFsOfB5CzJ9ahz4Ory1Kgax7MKHdUC1qLcWrO0GJgWGhzCixLhNNF6hJwbR5PEVsSOx6qne/W2r8kkNFfNYEZ5LZUvN8bWMt6bDagmUkCWI21LITw3o62vzS09NRzdtj4zwJWZgG+LQl8UvrxvqlD6ymDtmCmf1ajhQ/LXY3llXVqBhXh8vHr1Q8bYEsdgON2fJXPU+d7TZRsUqo3sAcTbPvVqeNv9LztU9oW9cBLWbQfnE/C+IvXRVxVLikaSmLsQm5mdnVw/VjR1tQMhr/3EqP8vzNY+HXJgPcy4qfo3+YAGY3scKJGOZQOxBE8V0JLW6J2ys3MXgQ5wvjR6C+nsbS5x40SC7h8J11zm2E68JiQO+IsYf7b+/rnZ75hAxkw9wMzh+AUeAz28GcDfIPor/spkPD7PeS43mGDJ3j4bh3ctssgX7Jh2rNx74G2C2n4tRyd/imFHIQ2M3xB02sMXCj75RivM3Pq9p7cYeOJQaTWn1UU7xOGXUYxzfJ5U8N7SXrg3CMqq4DsyccNcnesQTfRhG1/eOSHNPKHatA03ekLDxcXfua1XFFe9aAZrb/12mW9sskQPCnVKLMwySzEpY07Mnh3HrYhHZWH+/iz1iQhNnokDMF7v9352sra4Qc+TCW1p8TMsq1Du0tEa0srTmtYi6SHvOrqPy/Tsrel4vEbs+FduPiYRhpCHPirRRbg/pejjQLQJ7Eq/LFeIVaNVhXeszlv93U+n1lk7srmo3TRDFqJwrOaiRBVymZef7w/Gta+OPYzZ9651GhI+qVrHN1lbL5LC76XkMCB7AfwxF3Zk4oGy0P2mVdxlLLzHIM2XeB7ERzhH4jLg1k3gLwMMDYqBcS7UB38nQO38P/0182wnsfB1GA40ngf7kDD70qLoCQANQf6Jed7OxNtqJj8rAokcxs9j9bmCXgaJvk8QD7c4MjM41DnBpEIMPmbrvobqI7xbhxy3b728g3ofZcMaqkj9Z2zXz/MlYagU6z5g2lTl6xm+M5h1U8H2l9+vYRx/w779Z97eG5/gCsF7D+/wwtF/7w88GY64B/QHrJyNMD7dHnl+dpVk2IzwkM7QizgE/pvDji8W48680dmKwZcY1AU9yfjO9yBZuzbiY2mFlxOyfP9waMvt87h8810sGJKyHOuUsGBl9jPaphe9+b7w4qmE+VSBcsujeSKrdsGYhUBR/9UOy2znk+y188K4WsV2mvtagx8Lfi9rxwsW/HeaiwJeq11q2IaU85TwGYtqXqjtM1o8fKsvj2zoYd4e3+KwQYdPHvwecScMcBerETgBQy1hDgxYLkZiwFYzFBQBcjnnR/Uzm1j/NdOYjbzam+gdTlx7JStAA9MB0lYrollv2pFyuw5A2/CgCEtTos4UKE8n3g7K/F1hXhIpa1A40/7BLQNYDcTI94lNAbuRJzSEMGhBbUfuAlEmRgl5KdlR1zQSb39VBT4m7686r6uJw36vchs0QVLLiwnA1YCe2DFXbk0EOu5kDcmkJmpIjLm7bNeo8bGITW1l7Qtk/6yqdjNSTg3PcSYjujGAQNyqjRl6kPa+oXLQd4Bxz7PDDBwIE77bHr7UllersLljUVTR2wzH3Z7EGN8bwLupgyxvAc+XyAz2yrFLE4aYZt89E16z/Sc7EtOegU6zPQM1sGf/8ZHY2be29PKLXuGWNRqJTuyCx6g/1nSyajqSAn8llPQw3mHotTUWT3na2YjVAVToWyUs4IUFCkfeDXEYUtKW31y1h5A1wOn3r505TER2mYML5BbYtCU9Oi2vorYWgm1FyLmmTbTemLQBPGd8nhoOnlpBLCvHpcHV4Hux3bzMXeV491hPa5paHsl1R9y3Vtk/Ho0w/K6J7rUjtFaPqr0fq3G6Y2HpOK2/IH3I0uHWc0Q96RQ5BQ2C3PaSYmHk1v7+6kAjRQAX+1vj1PhE9XFZzzGl5TjMo9wmPBW4Px25fbfrDHABl7hSCJRZCt2bMkpF6DZUJq/P6lN/Lyf55ypn8ydjk2/uWLLcpKO6KS3E9yhb+WUTt7pCQ8xU79etdbzf+eJgRqAC1D16ht9pMz6r/84MtxTOtUO+5BAk9T4pdrxU1o8B34KmqyNFAPtESwfpNA9dVBg7gEO1sPUBqbp7suGn23nkRwO7pdTFv6TdAHE558v8QB4kh9dflem525ERBTou3KbB/AxUurpQgp/SCLUG2+bHLFHOZRWYrDSbUvzPUC/f+aIWHjXAkf/t5EIM2J82l1zd38D3ui/8GvE7AHYi/om6N1k14YN23ZqWIJKtLkMmUWH5afuYpGG8qCsdn90ttPRideDO7kH6/2q3HYP73GTQ5LCvY4zFqy19f5QQftWWtwGXfXih0k+kMXMLzghH/Bn/zAz6ZOe2DUFbjcCN+mQxqBDKqb/83L+nU2LPhWSY83wmKPAeHAG0tJH6kwSsDWrdJyAxl9ooNbmb77e/HuPJ0JUiTCWtRvvm1Xuqk5KwqcoN3drvXJLB11JJHlNSSFGJJvhy6u5qTUiQR3YH1wDLy7QNePxFTTtNzDfu2JeZ/Zy1cUvD0nPzHFJgssC+ZLVYl7x6pe/M5ucrcgG1TZ8imsbtIez2aScHBuk7oCRFg69uwzbCDiIR+z2gR12rcfSxQN3mo55sM5jufYPQf/u2ryEgbbUMWB8OwI23DBSHnDWsqIAYZ02dQePykW56PUGYsIiUXmVAYqwID8s/LIBnzIiSCVXeSHBXMhwu2LRw35pH3mBb8Y3/O8cIPh6ViNba6otNUwVoXHJBnvOhsXM4/0hUeZWEQEela0s+rIqu/2sx8ud7Vrj2484m8kpn2FTmnkpk6zZvDNxCfsvaHLA/S5+3evtKyrXspCX2m3Rydxdie2V/Z7DPtwqn/OslxcVbi948JgETJdOi2RgecQxXrXtAdbHYqu6Eyv+MWfRQN7GcrAcwHRPIh/Xw5+nbsJC0DNdez4hJQ/O3JVdnKWBTtkQl1U4dwkF7RLwjXpundOObZqCP83cXp5v8zRsXaUlaCD+zVYJeSy2KrcFLNheGDxjabdRCXnxdUaUh0uuVuRXDi7Yrof1s57EzA9jX/Bs0z3p8FlaHnAVJQVrL9LpN3X3byUO8RrHTqpBilrAGtoaeFh7Lnl8Mf1dhKGqttCes5cv1kxzHt9VmHgZ1xK0POhp/ZGEmnDgmMqyrWyIK3Mu1QDGlYJ3GPIY5N8r4FMOHCdQ1D9iy+To5io6IpPAe3A7FgmsmQS+L9DXq29U1MHWEoytCSW4CeSO9vwzZUtXuTiVkOMo8zYcITulpo5b6nq4PBLEB1yoBxaxlv37xnhu5SJwS15ugBbwcjC9uF5eu+UdvucLK+8pZGdFlV1q0Dv93uJOvMnYMkFu9UXUzlX0756zrwdopgK0uyQBz0SoP5pgGwIymHOivXQIZb06VsEcVpbNaqaBo9sL1piVxb9XHD4SHnvMnkRpam+HZdfw2ME7fU0KP4R9fxYaPyBVP5tO+aKfH6yfBTOzi1Hrk0HNNZ/ORMQfdbDxMlfvs6E9Njt/pKau08IRcfDr/DAr+VSywL4n4uLWztSJSBEm5pAjM5OYHPiqllPAHlS3AjRFyrg6KNtPm3B2+RB4FUJWw7Cp/bqywXjL6oH0LeHn2coZLpWDXlz0VhflBudbzIf2R4U6o+H+nodfLqbtyKh2xA40bQA8qmOOqSmr2DwAF8LH59assgt7deKdBL4jP2rgNbIgQeUqnxtfkR33FfJf90QhEftnamzMR3+DLdLzbm/83BfVtfapmIzHWUt55p5GdYBcUWUu5Kcu2Zw4HjPjKdkTlgPHayBK8I58iFA6yQjacddfE2G3OUIvP72NHL5WKfhcB+W9HtogeW5j0P5uanxPC92mAtuAKUdiPAIK9sSQJ7DgViommvfchrjNCf/tSUikNSfUVJgV+0WKyUsikogdevkfttyZHwf7f32fNIG3olmFNDC8aRLC1szMjN2pHzObxWBTqXGf7vAMihx4lbzAmmzy8H2FnIn4+Xat+P6eFvjIgm3ZdP4x53/nAJB1+2uKTA/ItueF7I4WKRqtzf2QnY9oX9lkxru4TDnyqq5xIZfdD/bXs7S2oRrmT+BAoEj7K6xfAFy3P6zqWtmwgvqyQk4JE8d7nc9XhIEec9TzYO8taSFZajNnBifE9TegnwVwbpwynAIX++bc99SKb43jPUHb/UgGOInQIrmZsfBY6hB4K1cEcHtn6jmBLxdC/9XBZqZzvta4FVG/5qFyjZe0ZPqRgTAkHcSi8dzqZQkazk9cNJaWulSUH0998uCcH2iHDozzY44mHxf8oRh+y/uJVBD/J8MrxfLyxDg2HGGI6U/jhZM4X9cTK13ltLQKJM+F0csE9h/aCG3mCu6vZEAVc6afJIiPJy3bZmhD0KTrqbcjyvVZoMvVeNtVtPTKInNp9FerL2ozm3xoCR6m8eDyJAnQHbjv7WAFHgX8zlf/UfcE/k7yrMUCca6uSiACvHEDGBVwoc71wIek4991386YsjVzgLv0uGU9EqDXX3UOYRNMjAfJ2hiP57VdKduaeqpe9DwWwoJ8gc9Hx+w5ssA+liRUP3WB73SYf3Jn2TQftw13cWlmR5T8ny2Bi8vI/ygHQLTi65ru/uZk7cTYODzsV9ina85s0LD2Gw2w27g4aaj0QAd91w6mpenbD01t7MYBTb6Kvr1gYZ+J0bSOJAKY9MGJuzpcPg6OSvgOdAxgjrkTeOV54Kkk6x8uoX5Sh/YeuzrLgA8czJxvoX+9StOdf8xsciwBYBJrO0Bu/jB9QXmw/YTPdUWX3BN9uZ9G9DyuPK1GDOvhZ2wsrxR080unZEzSU6cOTYc84FvD0TiHjn4rgpmaOSe1RhlhoKto43FTeG9dNsCbd6yYZo4mp2aWe+KKMkcGmPsHU9OKu8ypQsuWH9uMob/Y+CCBfavDvQP8fy17tanDVnJLffzO2RxbG577IwXVCtruerSzTb3795Tu5Xli/RX4Wgm5z2cW2mXm+7F4UgHoADt4JMKbmB2b2EEvzgax9Q37OcDItyjkHqXhi/AvR9nTTIWasa0jLiZJPuYzDuUR8hcCLfd5+PXnUJ8sRMa73Esh3k9IpsCDz6VVPkxdMeDkwt0/XH5rVj6BtqvKfno2Id5VqNlgpgcctKSy8JHCf4GWJsD1AIuAqSBfKqRWgfwz8LM3auqXDN6siKcB4Dib4lOkfbnbr9Lh82nAr7zhSxZTyJGmT+FY64kD/91Jq33L4G3Xvb2Y2Y2ALUdzv036Oag5vEPW5thqIed7CPSyNh4ztCdChBMjXTziAHIaK4GTTzHWf3NUb43d0iRsjzy82bB3I7miX74Iuq/KbKNPuDQ+zVWB86rwRV74V8NXhc6cXKAj8G16sNS9hBWFnO1UbtxDvmaNhdLGWjrKNi8u6pvZYLU1A2+Hj1r9e93vN0wkT+K0Fxaqj1MwpZnde/Q8u8zMl+5BI2j5QUZzR4RuoBuBPzyeByfbVOED+CUoYt12BxvdIPej7Hn782nPRjOz1X+rdnvjxw08AkNeTNxUbNxk2D/4qEo5IFNX3EozW5SpAw/mO2XAKvlUSXMnH7R9OUyTBE4KHGwj2fQG3PpHsXcb5++vM1hc2nKC77weVr1hjjcBpwUNsX2eAtwnTrwIyJOJWCIMHA0w3MlsJU7n21q6bUv1v/upCP7z1hz3LgbtpoT8hPyYwhrYcoc1i6bXO9xgU3Xrxo463x6mvlB16IlNjbmWE9atNrEtdhKDRi0w/9XpfmbFRqdjVeh9rYELF5crH/srd/j+uOI7aKq3pItnJXCWh/ZLExUNZAdla5x/AD8C/AD9+mwGM6tXU8hBxnuhOBXNE7iMTMbszrgOGhs9QJdn5o4NcpWVgzZkoeeVAtBP/7PN3J1MvC/HlQTG2/R/n2U1qLnSUAmg85wE3gAsOCAIvym3XwBb9sZtJtHt22mwvKNze+SWDAAL03yUoB/9BDPUmdl9ycot2vkH7AJHsPb3CnG3eW53Odu+7tpSyFGa9uwhLeDmDjoQyz5KzWfZtVw5BJ+EpvXOeGtMewqcAnJ+AXuJmLNNMsYZMO+AaOOjzG8HW9s04FcZ6g0Jervsywdg1kubn3Pd3pgz7047fiMrvF8bYWaBFhr9SfDewcF8rh2ZZSzbgCadAG9SeFMtjVDcBIgrG7fZsJWgVz5YP52TcOtV1hLkAwoB14oKtOZL62EhE2q1PEeqyrUeqfYvJERzw+ZFjD6uhsaqWLIhwyJLYfq0m00j+B6e98fUZ3JnO3PgKA3gI+lK0+fU10glMoJcGE0LH25/M1uB180l5EQ8NIAPcmYuZizkx5ptj2lY2mqczqBLxlOvAtAXvOHTjjnbuO5jIPg2zQePEOMJO9g+sdShEssZNP4Ht9WxLtAncM6X/nrkOrDqEbNTb3Jh7zXDxgFu+FEFOCnN/MZg5pDbn8ABncZOzH7IjReD6KRFw210tHV1Yo1NdvB93Ylna2z6EXZNx4y3TGE8g174BRzAzPG7E/fXd2JV4bJy4IDG7ziz0L3syCUJHw8SxUkTAncfsgfwDGn8nhLTzxPhFHTCsz7fHFn4KA/wd9a1Ejj3b22r4H/nUR+1tWDgX77xyMVi7ure9AsGNg7V79mWGPg+pdkK2jyDfc4EYDMd2xYygpVzQk+8N9Np3zLmoYQrUYdI1qP/qHhjamREzf9m0YaZBRiC9CfT5Js8556Z82hUPrjoH7zgJQ0n0DeqFQVfSqe35YhwaXHQUN6h2SGI8Xe3Li4LXvXT9Gibc76UEdIgSXPkM8Bl/y/32oQAXnSA8SUVc5ZpP03Nna1oES78fdnhQ+3YNxFuw1TYZQp4l4ftrnanEvjwhe7UCjjjwz67Hh2lOSjyZEWW0uxKdmxt4Dv+77NWM08sc+VbXfDPwyrDrMDhafz3wK6ZC6GxmRdQa228droTQG8ywE/tF1da5FCFmYOBv7G1/SYW5Px++5P0lyfwwyoJtmtiva/lwP/uEEUEuspo5NVwFW/H2ezXwGMoI+eG46fxhcl4f8/1JNNgoUkf2I3T3vDONBxy0z8BWjNejT8QaPMDcErKiwlwlV+Zlhnp/zRsAlxwJXZgvGpyMmzT2oV1tdGldEBPcQxxs1DGuEuN1zIFrgZ5EvbX1eg6yC/wP/XIh5jkQvuETTmspQv6JDmFPFAQi0y/ZpveLNhHP9iaxmZFokHKx71sf+cHMeCGI6F8bDMiFKlQzEG/XImYdC4m4HHKakZsan/aKkCTHCahLBzWpq438vu6+NpkggA/jF+c7dJAXuHjdDtRDvndz47r18bU/tBQfhK2GIxx4GdcGh5TMpAn7i8bZumj6XOmfbMBRJwJ0xtVTAPdkTvsjem3DsJgDpt/MefFN2p7Mr5pNrWWNxou39Qyfm5an3g7VI4KqK35wdkeM/F4YHbxajPLaMVpPdiLpFKbmU9kLe8n2q4NRAzoT5+I900K+qDqkt+7uZcmqihODu7+TjjkocF7Hp1ygT0fwDu7sp77xotF8DjjAj258MIqxCXwkiBzWtKsvWv8eFkEn2Xm2bLW+PUVxIrvJSXLr08WW141nAczhwuPPXAGHNEAsuaob9mgktq9XOsIfpfxK+bEMzkE8G04uuhHju1ygvWQfatlTz5O5k42+oL9ZX8Dfs5VEX9kVELWaOHvq1cP3Y0NeyvX6iHFdKGDFwF+u4nVe5iqJ3Ch/2bwBss+DzeQf2OXC2CNSLumt1eh/YZ8bHdNpKqDxaOy8HUStHe8k10SBJ7U0wVyxZ9XFQG8ZfBuSgc/mp7k2do/8k6GZRGL3NYB5M6yHsxZCl+wnT1S7gfKsn3p8h6H7Y1wNPAiucJ+GsuOh0LwW+3Mdr3jNrFbX7ntyzviWjvvoBdjqwrfNwnn5m7Tr7Txs1+erAcN1C9Gb2rSY1CfMa97JUTAFwm7klCSNENswfe+A4/9KW00VQ5xQEucQccDV0bfSYde/SmCDHwBrQU6FHJ4vzy5np6n/OY1oX0FLLziXj0bSqzG8q6NGzyV5UUkfNwhvkFPEdDrGHjixcuBL3LNTE9XAjrHqowXglBmVvILl9+An8Q4MJ4e6AaykQKWnPGqNgfH+1Rhayegt839WC1mK+v0TnEz3QoAcpfZOSIZ5H1Gwu0jiZR7YmrIuS+48/7ANPYAf/z6//yWYU18aeZHgpYJaHhzTb0BaAegntoFdT1JLp/c2luwLqB1tcggcQHerjXXw8GdchUp+KMW4/Cx4WvrYVTapldY8tirhotH7NecLNDaXXw+cekDpmWUzWkmtm+nntmy46mZk5VEbcrDOEoigkGzrsmQ2KXDY1JgUTG7BBTdm1gB7mnOor/zfM5grwtT5yD5JMuev7zuHwdXnyHfLHkvK9iHPxXDhIhtSHi5IQhlzWCPwBdt3Hs8N/2vvbRLMV/ycaKlM/tk7DcnxlfYfxCF/+vTGYHNR/7B5E3jg/+/zyKJw3e5q2JqwxMOiZcG6F5zDt+dLzV8P8pVgi1vk1jwnnl84I6NMsvraCSXRu8fsI/93+/FZq9xY8Dx1oVdv8qitKSQLP//+tqqiN8q0W9UADgUbuPG9i216yGGexf00yDNfD2qkQyUB3gVK/61Qv755JRUkOsryMOdiLiTa7aBnCqB65Mq4CQzZQeR6dt8ed3fXFYA5wuXwswfy534E1KnW3Pjo6d4IxYC/KxvIqTrofXS/LbhljqSYI4hB1/psNhHZ/vBrYubrVhTwc/HVd15yM91xzcV6Bbgk6/cW2UC/2TOhOA5RWLmaUca8oo0s8pGKr4WhVDQBMEVONKtAr5JRy64BW8UtXHlyIUIbWq+xyS0p9pVfc5LSwQ4KjsfScdOef+nvy7loOyKbW/Zef5MnK+FA78lzjTyDmJ91J9paF9EAHgUaKZgJeDvIeDzU8njSdkqPu1k1ozaPiEVKzfb8LBxD67yKpsfKnd/zVxd/OGX+28BNAOmdlmyPl6ANyxsmLza3GsyTzYCfUIOWSEHdNmo/aRoM1DESxWqa9aRT9gLnAli59Yy19Z2aIbtBbgYraz4UI77jQL9+7pra1Z1SToFPCABfXx71MLWEBPApWTGgu0n8J6F6vYbtEQHNDTD/bblO8Pbt0PVx5e0gH0ZbgCr8A/g50dWTA62trzR5C1hM8p48FfnAPvrTWn/G/aVWwVSSnPuuwNl26GYReTCXCTqsTV2KeesU5QGMW1cf1RR69RDv4KeA+2fXCnXFfDIJ2DnlTr9NaX6Iy9Mreufn17baOCP6978mTy6e0+O8WBqoqrRj+oBfeOuWVOur4wSoMI4zxj+nS9GIlPv6tNTb79R2q/1eLGPz3eXD0a1xMXRWQYRlddTR1712PCekA866e0UxInqkrVy/UAif98UKG+Kvc0D7ML3O6rArvIV3mehB8xBY4zlhrnw7zqZ1I4e04/5M7OAN4WxBMwyffG5EtPAmDq+OFttBc8Twx1zOcQJ9hvYt2ptLbVqdGIbNzF84rx9q+34LRVa56GWkHeMv8qFgg4trSURXRtybnAxu1b9jFPkf+YaxTSKL7Aar9w7G//nWkuibFkdVlBz/fygq54gj3q5AzHXSxd3yvgeexDL9v88/e6AV0Vux33ysT3nlja9cabX08Yu7Ge3tLKRzKdBTsnfjMK5g9yzEQjdMjvwgNcuTaeOB9OD2GlUW15s7q/yjnOquWPuJWrtF9S5XBVNnsxWi3K2ENfS1EOPlP6zmLXZkM7MHZ05Af0mnb+ZXEdBcZ/Y6G56qcTvTEW01IgfIG+LJtDfOcQa8P+K2tg/9STOhwVXbrLUxa+XWJBR4MXUt6rVx8qZvxXCrgC8gP8fc9ePyf95VZUy2LpNCLi7Q7ChFgp54CbF9kbNeSpoxoSTO3NVknfoWXdfwAvwFd5zyWCfcxdQwpLmTv5KXUQzUwkOHB72Bm6sZToYH8X+NUsddCcy82a3oHNRYXz6EqttE426EsJAWqY6APfAncqE2Qz4jEfFFGfWF2jaxmYW3ue9HeYIQ7zZftJ7lfE5qwdQz8F2bHrjM4JfujIuOcTlDjir43kcsBB4lvFgCxnTXcb9fU55bzww8oBdgXvDXr4t0tQXhcwt4blpIW9qxEHmEre2uTg4XNaAj1UYz5Bjfv35Xn0cSsSzYu33KdAjiVpNo/ZARPuQ9hQxiz+57X8nTLuZntYmave/MzcoLsz5FMSLWzN8yYHDUVPf7szP2uVZYinQcvYD1v13Zsb/vtcEuv0NtEVX2cGiaNw1Du/hueNTwMtmF3/jXZymIafAajeNmXjioLwyLgN976pVJrQgAXCCmTjtveyTFThxQs7bDxUkG96DpkP6dRdgPrfLOzwdrCmCn/Od0zgrn/M+s+K2FPBswwT6B4eg5y6NRmHKjLei5ljwLBMK8kaywveyKEo2p8B74xbG1cj3ePUHqdWbsv/uYQs2ZI/TsIws0DyzIU8hFZp+Zcg/fs6kzSJpq3z+kQOZSmezqTjwFXYDPdFSKhaRjcg18+6YRVpBf/2LCBMK+K56O1goatyXjxnEbhjDnglAL2DZjEoy0DMHW9/ITj3z5/zBxRJzIcNTGB+AKX005p5Mx7wxs8i4thtriutdO/MVj6zrgSnxqeFoV0etB1rzA/fsz6+S03+2NJoI+UKOakdGlUA+/am0CriL82Zn5hASmdt4Bn0eNqBf6EhEjtBKAyRJb29qYEyAPTnrYR+K+YeI5Zu5fnpi6Kr0X/3GR8ZUQc6zD9wnNvMxGrGVskBTY2o4mUxOQWCJcAY8bfenYEIkmDZJMBU1awuyM7OtfA5aVdLAC/nY30k/C8wVYMNvbVcnBHrdSeWJs4GcFHdYGL+3FjTju5Pk25+TeLhHy3ZEJPfElrhC6mxw+cTRQVnokoatA3kybFZze8ZlaX+t2NVSBDfb+LJg4N4pNd4r8hUbHRt1yZ83OxWzQ225r4FPHFY/z3v0kbnobHD9NE7mLAr4Y7MA/mRHBx9VbxvvYYgh7sB/J7/za4t/y8E1XJytCf93r4f5mubbv/lfB8AA48XQdM1GDHqFDTrgNYan1V1ueWPtKN/4WWe2DmsNGZVPN4JMjxbo2RW/mfOnE/JNzfRb0m/3VYeOiksXdA2vxsbJre0Llzs1MA/wHx1dfKcjugJ3dU/I+Hy/PwhqP+hYQs7kLQcugjsdYmvJfr2fEQI+wDNT30MofgPOPCitHcCvoR590GPxWIrmzj621YvbGH9QuqosjeQH27U/MiRDed4mspCflZll14Gm66VPV35OYN+WlgdZT8eQf67E2oaAtRC/5CKKFrAdz0LolDvJqqiKMcNzE6pXbWrLre3VVLWLsV1xAZzdQedG9C7fIc3ZcszyrcMRSpqPbZe4+5W7EvRdPOWAqU3Er00RL6DfH/WKsoSVK7zvQtmTbXoDpEjuR2vzuuP4URy4tVZ7oZEDmLI01L/XHzPoAuMb6YeCko7aHLRn+ylosx6d+bPmbAUOeIbcR1jvmXr7b9lB3uhjau5+SrZcmZkvBBriVKDX/roSFpfJsL1BruUMIXR0+CEHPt8UPjsVe68CfOFjHMmgBW0HiGXOPFC7E2YOSWDea+uwQn9W/RJKoUQ+ZFYlZuMB/mlmowO/eGmHSVEM+y9+GB9nWNuzNP27XRwTgfym8w91vsWi2G8Ib9ERFB/ET4+5H0FOdQDLrqJvrdpFYRNgnFM55wVK8UiGbIx1vmIPIvfFow6/5xiOd5ZRuyQrcJpRlpQhl+z8N1a0TPRenPfwDgePl+aU5tdHX34nZl1Bg2ZD84D9YWWM6DyYcT5sz1mRXaWDRhXMgaD65UfkYuBAB2u5KAFrTUlOTN+p1mESqBQ04jkJmuVgN3fgML0ayDGl/iHTwDCQ/DgBXlX99GnOnsRgQ97aJqdCuyqKq1+Pd/Ew8w9f52ybzEGyCecrPDdEI77gAN5OJ6dGaBt0W5oN2/QEevBkahGZnE4hdkpXnhtblYBHK/Dlh1nLhPo9Q4QkO52RHb8pp73CujAZ/M1dknhQrfF3lRZwjCHmZE0c4jZW1iWWgH0FGu8jZcuS8ikR0b+Nca+FPCE51wsE4VOEuuOGG0bkrHhr03CGHKmG3J6eB6sBjsZfcfifV6FlXCx+axnNeb/xDn5WBehGm1wI0xdTk4tDm5+Y+ml2RJdufIVsAt9FH0jfe8RSC/BeTuG5M9ffZcCDE47PIvJ9zOZXz8iGA//IfnuS0CbZScDVyeVmDoRYZlFoG/Lnm/EbO1jbD+AdGXC2vF79HlPAqqClXACqBtKVnSLifFsTLb8hZw8112U2qo783wzQSkXAlYflAKzFZQztIdd1eaSptNR/faSAfyckL4KrY6Z5QgN8kzsSkGH7VCOfgOcnXLT7rH+/yqHtTY1sLr4cw/+lzT/zj/cXn9/TEDhrIS94/HeHvBPjnh8r62bTgZeQ78bD87YB3RKRYO9ADjxW4wTPgNJm3d9LpzHeqhOzHg4ee7vmfCUjEsB/CB3ia63/QQ6x/9eHeLsbHzvA0RK4SK/69izCxIN1eSP9dGQdtlWnHTFM5lz5RvvEyQvMKL9cxSjxwVkeAvF9xvGN8ThQWsGaYU6D8gFc9NgEnGX8NVtnvipnejBh6nPjt5JtgUOUC3En0AIZ7Nkt6FX1Dfj+qPLbUgX6wIa5IBbo9x1zawqxF8kesAzyMIlo0SzV2cxq+HJwD7lybJ2y+/PvhdyKogokD/DUEHLcAprNrQMZlJDlgb+0PIpJ6RKLWqhrdvInZ8jJdLDAn89JINN87J/wmX5F4wVTf9MMkPNc+PeDWkSPQAe84nDmcv1nAT9KSsA4XvCf2vXDgyODLL+tp870S7MNYDfosjiDd5nlUVxS6/FszMwWrXIW8TYXyj917WeNpiO2Zli/dskhx8G/f9Dur1702bhmjniz5lG7AY27Iabub5RdGqmFhjFNIy74OHG6Ely77VlRUuTBZWk4H0obV0TE5qxZJKF9ZUK7Unis2eEfwPq+hOfOxPufpy78zDe5IjtxYid5bj9zCr/uECjJideaWDklpLbsT3MPjwN0p+wdniu5nwZvSWzZQuwshos31NQSAp9zNnfjB2Pq9JMOg0iTr75R13hDgs6zVMElh0iou5jDvnqckO750B6A036bXi14ZU9eKNO/wBu33eAd9zJzZq95Ua44PQGu5oW/r7vkQfgFcimfCexi0FSvHh+HdSRuhvKJmTIzfcdqeF/yrl2Exm4iQO+L5WzuF5VjeuO0y5EPfMbOWAF5aiVOLVSe9Ze1EqUlB3lW4zQyx9NH2INk3W/qkL80Eal6TQkjfWnpuRFkpoPRgx4rRwTaDOWQ/6+Q09/KTrX5c3uW7N2hodqVhX8hlpc3znJt1vi7CoifaAzLxCVBaOajOlKt+8TiL/zy+egfSGFq8bcgJBAiVvxoAKkyYMKV9q/K9CC7Crhxi1PORWY62sN2xyBX5YxPgKvwjFOfD/Zo5r0I4cG+g8DWpM/YvANM+vjjNkLmMoC8A1uPudL4r99YiFfQmqBXCM1s5IK+vzUW76gmd2VqOCy7ZwMuuQMZFynjtatPSL1hFvOS6Zg58M4t/KHyrWYh+Zs3CjTUp8MCXNl4J2NU5vMV8tYD1mlhWj5PwX5Nitbkcl0OXlUNjw3Wcfxbh2YDqCHZJYUGYoQf5He+ivGDm3fNGFjK9J9bmz+PBRFoVtG2yHm8y7W+AW+DdSg3zEKfPJq06Tcj49ThDvWgE38Y82bRxT3kJNGYQdWMezVHZib5LzYL1Oa/fjkoe6TI97hG5d9ehnUC7rJRNocAQ2PG4gPrechFjDjoWtB4qbLmvELJU7myzUPsmvtKRlV56vkMfHHJnd86gIkgdVOBR5oxniFmdhzJW73+9cNWwIkj4A85cJmWDdOVaH+BmLAg9wOXXn7v1mp2uUp9efJhuYiouZ7O2zd45v/mGofaqFwh+uaZW8gx866oqWsqdMl4mwCne2nzHeES3rGOG/t3xrMD2nPAlrolzlKZGdaJjkE3c0ScmCnalillKyz/vumCq5l/loaz6U95JB/zJ/CDobIC49magY56S6x2lsH2VUtsi+hiU/HlgYYITO98Ars1oV92bU1H5ew9DHmBFnzPCh8ng31nljI/2yGmPmBtrd+ZxMHNYh+3tQFumQv8maxxXNpxy0d452J6eX4aDLIb3V9PXX/Fpge48E1/kSX7doZ34VegYVTRfier7mmYreWaPFJGaK0zG17Q08y1gBj1MKhrOkK+/92j85LZykuiaQCe/7rL/klWk7/2RoN9GP5YuwnkfeVx1NxFvt3UzrbLB+Vz4KKQ+Z5k9Hsi3q8l9wMSBnaujU8W3xvv0jRcjM+qh1ctsY39o5vAn/uv86i0EfZnNvK8HHrA0vipOt8qbfRJO9CYwC2k1leIp74q+FsjOOw3G/JwDDqTCMjFPXCeO3DAnejnm7Tmtg4VSUTrUvh9UBoHyEGveoBJ9vGSMPXfjMMi8ES099j6zz7aKIe8diZo2gg09U1BZFMwJxl0W0VoSQbP+Dmz0rKJdJSZgpOfwuxxCtTCbG6VFB1Zv6XU6f98AuHvA+mTe3jm2PgLnTi38k4GjZmvIPjBeHaVzmWRhUpJECyQmz8z8QUanG8yhru6lx/A3aqT1lPd858S8C3dIdDZ7afc8T2J/voCJhICEvRxxgMvqc/vS0WTh7JumzpAppblO4kgbvppqakfUMdMJGz32MX9KWhTUx17ov5nHnqA5P/cnPer7G03+dhyJewfMTbAX/48nXy6Q7C/UJGw7ZMF3Oa2fyfhw02jiwtxfxE7daxsnObAec0cjaNVenXXdlKw5ym8rXhl3tGdUGmRZxq0fQYAl4d7wD7iG25bduXrrk3nnTkNmR3exd+mpua46uzUsc3RLQHDe4hP9Z3uvjZH+7LyDt1Ak+QccBcD3tYjd6iLddXbJGPJwh3iJcwTLHh4ahe/gc6uRP83f1mrYRIn4BinHZoax9TVacLdYCXPOZMrCU4jxBR8VlrwKi1Mbp9oQ+VHEgJDZnOZMj2nwXxPdjiXjveWAD4f7MlR3X8z8VLu968amNJ4OETTWzYsljI4/jtfnmPgBJ+Az2XuxI/SWrDx3ExceNeUnxsdu0kP8TT0ppci4S7g/divoM11Y8dY2coHTrc7jQg4CHnN8Zkql4T5MJte8RV4F8QvYCrCl/8w4p93tOML0ySVbvsEsAtkxEGhxyRFsgX9sDtRskJM0mYgAnRoX9tTBxxBJo59T87vDj5vX7VYZlbRjrGlpSH3jG9XWbRnJnBRdf6Zjf+ecpU2HjUiwddDBfitDpZHNShJOLkDp31wdlmUwA/m+tz4ttQFTjLY7Blve8mmvGF/9+amzzPloIG4pW+gdNJ8F1silBfjm0gYBo6s7lmPnrBuMrPkvQJO3Ax21uzMHCP/UVlxiZn9lBTfqmHjVra+VNb2t0/mN8cI++WNuQEOQJmzB+2NstOOZ9X4tVYj+REaMMn4rDP2qLQioLnPYswgzpXOQ7vCIT+ATrhXluxy6mei935gb3/wPnZB2xcM9EUVTCHEw+suG7gg94FDfrCV/MAzvpk5sIpfFuzyz1S0I+9tp7T/uaApOR5kBvwsh5/d4ZCBnsKgqr030x9GQRSpXk6Uy6lmc5X3y0c5xB41yPc/TDk8gUt1DWhC2656bCU7H0M+3QkmbaIRYKnx800e+YCuSQjLxGBNmbc2FNDA6jesKF1T+53rzM0Rlnm4DQ3W0w6wcNU5BdR/3VdmdrYC13EbMb/lAp6D62MGvB5wFcMz//obnrifnJjtsOiySaIWOA8/YOB0dcDHylUzM/c/1gZ0ExlNDwsJtpBbZ9mw7QQc7rVeoPPtIkF6Ah3pJoO1pEW8IfD3iAucI59dBfhHejQD4j3hvX4rtnVVET+BA6dMzJ9mLsRJxx/cmuNTBHxXtKHp6yb2ZCoefmtZX591ivD5ZPqtivLKeeOpYqrU6nfSdCu58PNXdTyx7ViL9tnQGLjiv2fTtddsJRasLa1DbR0sYu4Mq9/zaauFNYzfKIIcvvMDtf7NJtC17f+QDrPawR8snD4A31lSfLkiQLdTPg/54G1S1O6bIiYnNt9VTxKp40QG9lBFGNcsdktrCuAdlHW//SGhFwgqOQPkBx6c0ef2dfYFPLBxRMC5OVfLGbYhd9y4tQ0yF9a1Mz2UaPztRy7agPXevgasBi52lvl2qqJ4bXaaZrRlIlBZxhunCSYEmLFrQgxMg7un//NABo2KB07Luwj5APv1cAon3Tjbngd4k9H4U/5izAY0nD0a37Xa0VJ2Oi0LfTD3CjXXz0zwoVm16WOY2PAA7QZ7z3m38l6zzJpevUvXytEl3+Ephc0IMRTyok1ra16zET0ZM32jv37YmZnlRdwYcnPmlAVohN8ZyeTtaG0JF5YFef9WgUoEzuwkwf5BLWaBxt/l4i82PmAfGz/rfc6ly4J5BO7k5mYeB+cB45JJZGr8gkUGmwVyywf8y7sS1rMK1SfksYHstM9cUknjCepsnsAVonxoMYe9LIWZobt9+Uedgdtq0L790bpYp7CNsrHxZOFT0AA/gMtMjrhPC7YBbQc4OceQW0F/wHoM5QZiAp5v6pJwtojGUy6aBy7knBqn835/zRzSA9a+epeueNd+1o59LVnvNg6zm0CXp1DuCfPyuid5EumPfIfH0gVtseJvQZV3sJZMDu+uybeA9YM0fi9B7AKeZpnRsaH1KEf9KcfLCpzxlecx5E/bzJivUWDJMfYY/efUIXMZJX2D8MI11o02fRzvz2RsCzpevN96+65d8a5xE4uYmdKCc6kFUkVy3t4aG5sZ2j8qVBF20Ms73VJsngS7LQ0zs9IVxBxqEx7f8oFvANsS1f/WADpHV1s17POEcV6FwAjH0k4Z7Duz6weeyZ3pY8ECcOfjZOZCCq8S7P3R0NfcduNTl1gU9PFp1IuKZEedieTwm6dgi/+braSrxolXXJDiNLSar/LnYG3uVdheZT9bxk/SeMg3oUb5eUsbS5J8IAV3Sxs7e4f2r3O2+cytLwe06lkhOeSWlxnfwCqMk6bzbxXFKcTlHn9sWbLTQUb9tQk9oQrgzkwCR0QPbsUy6UtLFH6Ro3ipheawh4+4U5p2MgPe/fos4LGejYcvL6eYgcabAIZaHhH7sJreX9lJxxaAT2/yOROy7i0MDIdrwLAu9ivdP2quviWPi9xGFRn0PQn1JrEsh7h7t3Z5D+v4isO3qkdxBbF4dOyMgSY2d985b90kQlMybK3MBp6/k7wGVVIyyZr135OK+ENZ8J00JrDHbMi9OegWcx9+V47OKgtFgCXwnmNEQ/LqQ/zJg80zh1wBGi049XpTIzmBlh9K0HAQv7NkZK15nILO3Vd8b0ve3lSEhNQ+xiOxYP8cU3MGAvEqmVoyPm1AC5xJnz0k0jEv+lfMP2ggeQq4k0AuAd7rm3dKmJk/tADSyhT06x508y6xpjy3gYPak8wZoglonqSfjLfpZx6Qn+w5Dyz00tOwjX7PvQPkUkbMGr/yxr0U2wX+Heyj3/o14GWasi7bQF5n3HizWDKlkd8Bh+uBX5fYzB/pl1ggyIkQDxLwhHfkJnp1hxitcotLjPx7pnlOe+suRfD6XpmykZk3TqoAecZ7ADjTiJEOYB+25YjO1PEeubD3pPPLZic9M6OpcsgPcKEIWya3tAWoLbvkU4QL4MTWVgBfqQBbZxa033X3mms2X2jfnpPOh1zycCjFGegmYIBxigNpZg8jivqH7L0rX8mFR3HWBJyQAJ/L3s6TEbSftcyn3pxnbO4nYMSQrS8HVz5xJz8aW99zl730cngqcMEAjxIOGb0nSzYG16bgH3Tn6zq8OSnDF+U2z3zXWHSMC1lMg+rYlQwtMZ5alfG0HcgnaJZPCvsCck9ag5YHzBnqQZv8+uoN/KGubwNOywTypfG4bQSuEieO+TDrpPCrhO8X3HtBFTQPyPO7zOHM3HnhHseyJ7/3sBADnek5pV0sxWDvxA72mgM7mvEf0Bqvsy9gKN61CqTxovrJ//NQOGIex/CefuCVWPnaBrVjrcYTvnakBZ9/waE81Mh36lERvPu9Y4R/0x5L4T2Ao5rzYyePYjNjthDB3v3LG2jyM9ufeZe57NfndsLK5btsnBguYoyHzDo6shTAq4EDyHr82tSm9nzgVdbxBxbMFmJrkV/NLaeMZmu2Klgnfc563DUQP6+7tkYQ2F/6xtf9A3htIjsT16Bl+vmZMfsCuhA4JEEJR+ZuYATwwEJ408HpnWRHdNarUlltnHfZk0U+cBJ9g7wx0nB7Lxl3c+vP6/5MQXcrM+NyB/wwmrQ5eyBjAHo0eNACm3m+Hgm8Y7XzkRgnkgFygR4LK278vLAg7AZx2j9rwKSKcgQcZ5A7/M2Z3DNdPozH7//1O8Q+N35nZl4pVU5pbSPG3jc42Huw9x6Ztd1BzP/AZyU82N+rFX0z5J+JmQtQIK+2eJB1+FtFBPQWgriaxlRYS15gLsRtTYLHKzbmis0+6KWuEo9Nw/mVoWwB3PjGEbybcGvx8Z+5d5hrMy9uUJCfs4XR+K2EnCaLiyfCxmWRvJYUf8giMHc2Th7GT9O7m3T4clj3r/0FOVmbvp+E63I5Otk1X5mVhvBMwebXq14Whjsih/feTXEFerxlKpi06npXRP+Am5XA0WJkehsqpNZmDJyD8QtGzHgbZsf/60GAZAcx6l4A88x9mo5OkfxOC2IpffHSIgMdtHngNT4m/WzOLXvVZ+ZMYFdb709SqB+CTB0uWsvnrKV7WetROgz9zjzCBKknH7O/OT4mj0vuA44wr6bokxdqIaEa+bB8Vrp8gt5/MKp31eqPp+jLroM5rXeBfXA8bjiC4PEdcP5pziZT7r8B7ruKy5yu5Fs6vGjEq7f9tpp6/lMQbCCfAtciIQEGVCGeE7EFnkhQ1dsBD+S1HraC24YLzx5w9wdDJM4BEwGJdMYQ5AMbJYBCxvNCRliDmpzoDkV5R17664F7ElU2OeS2MvMe0QnWPjH31n1cVTvQiyP+qCIugTmBvn9fM0b6k9iGjZ3dM3N3PspARMBhXWzOkgI8YjPLVsDeA40p4edOrzo9WoqHqdXvM5eLEmKVuzHk6YsD3/dwEqavW37kDl+rHTmQXl+I0z+Ozt5iwC0a1k6cxrJythdG2ynnmgFfd8kw73lIIviGx9r1/1fbc3tK3Za/Z489upv5M4m4ODRSz9zSoHd7R8AeMHOSKqc9CPZ4wvp8UEcf8z4+KsRvzareUjMjGnRXQhXkjPkiLYXEr5+ij0+6f+mvDWg3wOrtPgk04vZ0Bz448V5tspEYv5KlHvVOWbioHHZNiniVfbkAZwBtnKyA84wPnFT9dqGgQU4av9Whp4GLcFqYuVoZxDN51X4/frV2qI+E60yZOWlm7gvocngmZGZmnvKbLYLAqoL4k496NufzPLo4xq/BnLv9/nonQ+DIwF23mchng7GQrTCDtXojIn6dmeumCNyaKni+qaiNt5rDvzMrg+ecZMkVSo3vImq9o6lhjdoH8FlPDDMHnRWIMN4rp5W5MwGP45+ZUVAoWNgIGM45zQtk+lBeHOBRFwhjG9+rwXoC87f5QCS35e/8zppPN6Cx/9VduoED+h+0378lcx6rQLiV2ngVetVvfcBq+oJJTpDfm/lpja0mWFMB7/WlK6vGeCcjiQnNrlTzI+ytOR+1Bnw9VIMytZIJtybjZ/uonHlOdzE9aXVudsrGoK3TiOcnYWZOTm95z1ElFp7s2pgHaDoYDya2f8XGR8ZMHZ/xqNetXMm+GQEH9VTScPGO/8s5pSO/GdNDbbUXw1NB7+xAO3a1tXF4uP3O+jaHLE9MjWhdNIAtMq7dCZ96G96H+qszZ+EecFtpGZTPE2uBq2HjjyByPTFzrpiIuQAe0wph2RCz5mzVA1LGUuCPxMzCAO4jQAY21lKpXlck0MAJ2iOhvAUO21cavc4PYc/xrBzNXLf4TQxkpOd5bdxpTAoNe3TKT8PXE1vxpR6nxwk090ln8Gvvh+xMbzh8juZnAbqtFO9PzBbgJzo/WuVVcexDTEup9auH7nkq2oG6eGPmiPBBdkfgMKWIq2aNu5w91uOK+qogEEP+Q3DJFWs/D6tySER4aek1Kybgd711Mn0bDuqysXXzwB5z4K05i1ka/PkRBSU3PvAxzcZ4apA5ZzS9D9hPxFLBMx/z8HZNoriH7/1ZiTasRSzh3UoeyZ3o4gUDt6VWvBqvS9CfoCJkCftqoAgDNgC3Df9mmsyg13aAGVnJCC11fISc1tYOms3sTGk3TyH0gUbahVzRmzoDwDGfu9iuO07YmrmlC2vTe2EyJi7b+Vbtkmu121+JPYUVQoBPX6960bQRi4vz2dTP/RxtdE+oNP7VP/WwubPQnpOupbC/CuB9xi/GqSN1qUEPVIO8J0z6jEHuC3pPuqb3hNxYoYCHtz9JOBMZbtMMOMT/1stT4fJj5qArYb+dwraA9fzEjq1xz5dyYF6+8kPTa1pxtMNha1NEJsFRD3FkY0qu1IFsFPQPyI42xOCVWXacc/X/iLra7mR5pfuXCEhX/XhZCIgSS8gL5BsQVxECUrWK/Ppn0vvYZ50P9zpXW+Uls2fvZGbPZHtM9Kh+54i+zmFTePbHqLlkwzTCM/eIa2s5dKC8xrP+7sTFw++eA6DHcUiYhphXH1dgGasF9HzAebrA/xz4prf9Yg5sVPGB4Z1e6OMo0xUZ+tfaGHJEMHCpy5Ft9kAz8RE3q1S0Pyq/IS6nTNtrgLVb92e/zm8DrImMf7yvDtH0Rlh7IP27T+PNqYqpp09rrxm+XOb1SId4PkBu5exvTjFiBs+2fmPvoMLeL1BdX5mvxyEwThVN38z78ivX/2z66QlxdCphTbCFcBJZ7yp6UkXm8gWb3GxnLkhl/a5Zf/sBbutxF4elc35hFGXDmhGO9twVc8pv8O4n0zg0OvbtRkXAB+x+YmHrg5KPY09YA8sAnvCU9klIXA15vXlkBT0JB9+Opt0JtHWE44NOxbBWcXoETH+d+e4X4uTF9tJwcjlGdCfc9QPyxYoXm0RHk5MODcTxNKXDZHLrLTcK4NkYVQiDMn9fSpEUjaAx6ChUA0c7yHTJB/QAPv2ZGzpDzn/NuylFRzAFvl86kyBoIsA5HqAFFI3Ux0Hig51zADwTuIit0yYU7oGXbPusPXIWPCG8R17Z0bfjQDnHGHRJKwB/7tyZr6mjgwbTv/lfedjO1LlZrC/yDsjJ4IeM+xNoRaaHs7NDmwW4cgea1WFhKxrgianX5iVqt9Rrf/iAK8DfoLGaHW+fKuh9iU2asiQ5CgziT//Nrdg7oi0Xw2o+uzz6ciT7chTkBi7Dp46TXd77OxX/9gAAZps4j0tb+yyVB5rIgAYbki1wgR/g4CXvfeAQUwDYcgbNuBVjGx9F++cPwJEq6o/fGUARfNbC4I2DLkKNB1jnGlQxnUOezantXTatPAI/1sN2sXWGHHKhNphqnkRpOH/Ae5poD9ykB+4sUXCIN09q/urML1k/pXUgJjKKPeTFQ4U0aAL80YAWSRf10zzXBLQPB2wLc9DSokeoEtOlFHiEd/MNUbVXnOaq2Jwypt523mTrz+01+4AMKQv/+m5AH/eXukt6LZORcAWaaYpkgXPu3E4N8GXg7S7xjBGd6uDegIfdttlIrsAHHB0rl7Akr1AS5d6mz4GhMWedQn4CbCPY9oAch7/7cssufRwKVfBOfdo5JHZyMHAj4A03wMCkzYrGpz3eiVF7qYs/ZY/tOuL10uIU04+sBywqkh1Z+idZQDcEoLu4T0XxBdqKo3ooX7Xfq2xRnwJQFXS/xUO35FtfDeai3OuqjskKdIHgy6YkRm1kVPpl/g5rwy/hu/apU/ocQfxaL+GAFvCOgJfTyuor9XyfSUAP8FJf2vx+YP984O4COGmrmO4Jz0DjrZzS+3rSLqlq0BtpNO3E8/1OA5w1mJzyWMcNN1fQEd+pxCvtgCbiwvpGpinaXI482cK9h3VI7wf+5w8AnIuuQFfNqUe2tWmHBvQ35O4DvLteA/8tO1DCHj1zpDnD5iHDM8SuuMnecVTAV4fg32Jr7WiYeTUgiY4zB7D1WvcIPqtEujAvPyLgQ9Oc9nOfxmJLDY64NCflqUCPySG1e0+cQqyBtnB7hwzAt7mBhAwclAtEBfbL3mpOHIo++ahjYA/s6yGM/mhAk6Xh+cFC+jonOkmelHrRBjA1boTqG5xcNGhrPrSb3NUzrPdCGh3JXs1wLRA/kLt50ir5teLR+gw54CAkGVMHXwTEWBoR6/0nAFttX5Vn6/5e3AbwCDeczszbztbPULB/3i8eAneBdbED/rGvIqPSXl9zpsqss+cLJCqLTSdc/5oGGOUR/aYInifHdjbeWLo+5I3VnSybxwHTV62I5Ra3vTtx7s4tXBfgh52diX3lmKSyMyN76xt/+xRD8tGE1xUbIH4DEzWAwVUMeIbIABpo3Dl0pVyUaIv9Hv2Rdh7TaCRZ/vb0ntrFe+W0ubDsZdnMCrKDYramMYPV2fLMJBGJ1Jt9D8rbBJIDj7J9i6B4lZ3VBhxSSd+xPgFNoEoiyWcebZHl26Cnw2pIX7H8o2XqEwM5Xza/Pj+/XBo0Uwka7fBxe5MSrnsk30fWfud2nra1iCia+zGghKEN3i0t6Iwt+q2jMtNDuLctaNJZeeVDSz898r9ZtKBL1GeONzfJwvmQr62PTMmCJC1739GMgF4W2d4DbhaLUsaA+EFSgb5aIAYw5G8JeeIE2viRF+WDurOSoZ0vRLY8ID+VaN+Opz+fpR866OUYi0+OQXMu5KpcyHBd8gTtvyW8ZSryz1oaXAc4PoaTA9+xqwLM7RxTgVKHc5pVz9vU8Ck+BnaXIvFIpxYhEegCIuXwt1f5q+M47n3QXH6OFAMeuZO9PwHW5FqKuObAHQBFj/1kR72ujhGJISbm3M6kRVPKBRZk/HLtHGMROj6slTPg5nX3XAPDn57quX7tOUjgPc9swQkf5pY6KG88I46cLCLUl1TavidVkGEdldb7Bbd7FtMncKpSBsk5ReaNI/PkQnzUC1F5QS9CGipc63WKFla0Edzb/88pNr++eyKN2qQpVHwELlKDGhPD+pOMGHKdrR15n1Oz9Xbev7vgE/wcP0DLrrLT+qR6Yb3xV1nvz7LQF46TnC7ks0T/7iQQZ7385ZQ3PZ5XPJyiXFpfAN03fXnfL6lbFu05c8VPzWkBuXunO4WPVk3I370NQR0x2NktqdNu4e0oyIE74E0MeJispUH16TbQMLwc4+Z1ntLVKNmDFkrrQVCNNiHgdClxa472DDhcl9QjoEv05WiESiE2s7555GHoi67tQStsiJkCO5cw5xreNdnpPgWNfJ05B03owRof5td33dKCMB7p2zEGXRCSErDppHh7k4MKCdp4jWOC3M6stufBltfzlnJ7ZlKU3s4tPebgkRgxKqO+837ND8LOfMVWwrYcUIAVZnn1EwGtWurOfJC+XNHQB52NaeNpegS+YD0/NDNUx0ZoDO9kSaKs0A6sS5Kb3vYW4Vz6quy3CHR2AbGWN0aXNZ+QwlMJWuunwfq1DqPfetBOA4aqPAcOkLPN5/55tXOOng1TqHLNT2rP9TrzzIdpBe/6AVg3yCFJc9uD6szsd131Nx9i+FmyZKX7+Y0xDGlSbPK/2QS3/+akjppCrvjfGRI9VKAGmnCqmhDdG7ludYFn0Lhn5q73NSu9TGJJf/0UqFsBl62t/7+bJNr1f1LPMNArbywuLyL4uki8IX8cO9C7tKBeaian7Fr3KNS37UXjiJA6TpdafIEOvLlsad28MFfbn8m9NgYN7ap+3Ss5eaCNT9qZuhqL6MjRd17oPBv1p52LBhj04htx5dLoEDk+g3V64L6tM54E5j4PM0cOLaFRuhwDk1Zis2cOTQ6R+QTMTUtuDrI4zzlHG92ZGHI5YOjtLPr1D/AOXjvio/REmUE2f8UX4T7Jx+TH1oNpAy/PE31m5yN2wknD3p5fjJVTXg757eMQAtdemjvD2aNkoJdCxeuOPyu0GZTkwDMmX0g/PsakIh/rO2D1vTb077u0XKGMi4XFyaUWyVw5623J6K22czcEyWkklgx0l2LcY0Po17BeK8mfmfPwG2d9zb2EVaNioFNwHhpC+8T6hJyOsYJnzb2d8zcve9uIrc96IUBTrwToWeD1xs77aPi7L+LEzhafqacgi/nWbz8SXvIENY7YAjHAhSfF2bNnH5bzE7PBB6m+j+EtgTUbZZKsgEdPL61HYlE0gfk48kmRsB2FSShoQkl7wbmkRe7OezGS+87ORXLp/hjit3RsHg368mXU3g/h2qVF0tGibYEf3YWLerZsTGp9jRDle7R5nbUdUqZ/QLtereZm4W0m3uRpwBYG6+uIMaJxmzXR/CRIOxrrCxXJQrv0skP0yoMMnqvpak+Vtdd4oMVSvohBj+QtD7f+3n04pftXKxLmqFyYnDPukUPq6lvtNiuIte0xFNb7O61c9WPPNGuZINaR4TgoUnWpl4bGl8Cpa9k868JMuUduHLRZ06V3Zc9ERnGVmDqM/e1HAcNSq4PcOmnf8iZoRYowzvh2hjz5fTTwLJzEsX6r++c6s/6J8EyMyu2c4PYz64FLS3o+BpljZ+YAZpeg9dwU9darCPHBlIDH7p8mYumdMRLTmOQEZ//VaUqVNO7qQWSKQFdmtlZYYPoG3E8KAwjM15vMWD9IO7evtDOOXcC9D9b7e+apaL8olANXzjG+62j9ypUd6LrpGIJQfa5h7bVhFZCA9RxIivik3M4bU67sVCx++3XaN8jxV+1NoLXg2yPayojPuXtLqlDB/a9ZI9sFtMWmGvEHE8oI8eelw9NlY2sLIlV83VVgetrhLejTWXbAJSPy/V9dHUCyCX3AddBOvvVmvB4LkdfyCzUREjk226bf3oEPjdRtdwdO7qAX74CjlKH+9Qz7vXv2MkGBZwhDR32n7m3foOnDcjzgA9cU+B3ptw51KMtdA0rkVjZctcCDghqpExtpzF07bxX4n+17FtMDYg30iCmJwFEmXv0ptw/QnohExqmw7YdC9xriT3iNW8XUB07sVI5xMmcOgasfSmf2cjPdIaUFKYfcOW4k6KE2j0o7r7ynoFJUkBRVKHwVJzztCaJjO716YdSoVzT6ugMukLqfmIinTLIWdC/wADszN1IOYLxpYowZ5KcqmkVdnBGLJ5r1s0OiuZIfVzsvKQdNURJOgBOBWjebtopSxNzp47V/eBy+LnuHTrYefueissmvC/DryNbupAOgtCdAexMMmiS2vKpG7VOJxHLPfdPpFWObp3iu4Xu/fM11XoWoy4NkJQPgqHAPmfPnPQu6m9xJT+fc8QXo+56GoDNG/Kh4UogRXyEHlzuXPHOHzLpIZjKaXw+OQ6zIcUy9zGshum4paHsg5+an9NSVQF5pQlOVI71z92+uWQLPuYQY2lRC7RqeXiSfwkaKU8W3KEd4w3sVpo7PlTk/ABvSQ9w/mtEoGc3no8TftTM/+dhuKtnO8Lc451PShOf7DgHPQuclLV5+Drf2iHt4J+1N2N47SF+iS64SmNuxA/xbxFhxurE+ndzONUJTLwt1Er3te1l/HGE95JiIxihg9mYW7hV0Sms9hw81npQwZC7Ra8bTjRHIcaWzBj2MIKZ6F/AHMA13kLt7IgWq+x7VHrlUKPnmzm13FBqxj/X2IKcL6zHwWto3w9ec9SbMMTA+4CPEOzuADVnW06oW02ufzfBI9Hbm5+55fTDXetOvcyYan4mkYvEWuMl2Bq3xbb3wuPWLOd1+4L4m5YorYdpn4z8EOe9Uu2SbGgzBm/xQx7+lIel0YQo60tcZh0qHx6WW6wg4/zXntir2C3Lv7QbXS4DLxDtnfQZulrJiKppou2KjOpPBWOPbkHPFSJj0DdPJIXxfaTHho0xtH9g9tb0d0vZG45cmulCpL5q/P9Nu61XDfLWzJxt3RhBPZepe3eMYPkmXRA3+Aq4FOWLEQcnFuTqtVxI0PegfpoMQEfd8h+8wJDBFw9rS1r7pgHt68F+1xI69EyYfFxatgxp0MWCSnRfZlX3LgLfPgF+3OlB34LRuxs2Qu82Sdl+PxqPAMpLHDv3zmNuCDlMJYOFeRebD5kIB71ZwcdM9ffUgONpFoG9wbPF4tyRnyTVwscnWzdq8cVfOapUu7XDskkc5TldR4GuOtSH5+gmcOGJ9+GgG/qi5SA6YBo1LEtA4cQU6rOr6Fe/T11kABqycs+ftroFPpu4sUpZkFHTDoaDfoEPEodh8Vvz3RH13jLWrHbPiC/7Qhdjq5+0kw8wjvZ0Vmz53jt81gHWy4z5oCBCiJFGdevUFoGN0q6hn8r2r7rJHy34pZx2HD7iuk2SAMQLyZKAg1soLKYAHMbzdOaBrRlNV3lQd++RQAZcB/nvIIGtS5/3Z8HUK9/0NiNHb86MXblSif9TGfIjY+HQUW8ixYQkciBTW7wrPpGg8FWRI4q8lxWqvRPvJHcKO3J7zre61nQ1d6PB3j29oE+3QO+S5rJIQGYZOwNNevRVv6dLY+Rp9imzPDOqAR28ywW19CsQK3TI3QTq/3ut8PZauUNSd3oC/e6mdteNRVBnSZ7x8iGH6hDhAFXeetT0D/rgNzPU/ZZS89m3izKWfda8/KgxCblgfmHy3fUxvNDK2T+vtgP8tB57EPPRt3oukIU8ZKT91rF7QPXA9coiSQzOqDPQ6tWuYOWJjZ5Hwj+tlt5jXWbZiA/0GDcqrkYbaVY4wG5d0wDkGiJv4/DwWyZn3gtmZZ7b2Tfa+32CxPwh1UaCflDufKg/0c6EcJYE3FTQXz/cLiW0dMGhrkfy9L9FPfeqKCbjgmMvpDGvsQECjZggHuaPgWlbP3KU0Qy1c/1xlkOfFOEW0y3wVbh9NQBNmpre0s6zF9n3hibr6CvH6yaLmmTEyv3IlQID1N7xqB2K3BxjsJw65K1POekrH0AXu6B+NVsL6rluv0ec6ZEMPeG79zdePNEI/aaxHWJetYHhMw9v3HpGPcmjtvKITl//fo6rDNWjBzd42LymEY9CPz2rQA+R1h7jvTiYVVSEu8wHebaFl5Ygih5gmp5s9w/62vkyQg1wR94DTxpWgD9XH1d07xNa67PTHn3/UjXY0PQBOqpFs4Jq/q7C8gH6LZUh+NG8l8Io2KwATpQGt/GW1id0v3GR2vqjZ/vpX7tBmJFEGXFiAMkxOZaeEFFOk3PdLZsgL5zPQuaC58NuBkdNBUMhmBPjHvK+GdhYR7jJ3KjLrdQCx0oAey6y/qdNGoA/H/ZLsdl6iUkkFO0FceMlNDfgq5Pr2WzM4oCod1EvD9qrDKeSJ9gD5No2ujwNL7AzuM+mNzFFC8l4pGpIF/t7IOHkyIy5EJjMLlO1D+ayiZmlcsVM9/oS81acMbygXAWj7qY6aR95tXh4mdylSj0qsKsDgrNucyiGpiEnaY3h1fvcQrF8xUlbnTQrZ81XyhKeYErH5nx7GInOdmXL/k4/ms+znCr4uIpEf88L4wN7GV05hMrT1TLQRgikkfvNoveBZh+jb+teowX8jxQTo4Pcs3hzywHqUtnnqZoiHQHflvJWM0qpHjOFkz+A5ZNIsHOGiXhRwpPBVfxiriPxXUxFjWBfkbjlhzSFCCpGAjgP8brd5kHp5oYZyMW88wgaYowtZBeVuG+88avcQbW1TkrN/DzvTm36sgRu2q50H/K6fXjqlKlmyqTzhVawN9aj8zNayD8BzIb8z/DWnUfqsGaikYvu/2VUK1l+74SH8DOuZWS84tlnRQau6Bw3yfJ9/9zrFZD3PWRqTP19iOx89R2ZXiu2qjq2FeSKVC3EmvlzIQfumaHNbUwt86CdHpAP+/gmKa1uJBHLVTKxWaFzkynD+KUfQlQu563j7JHg6H+JpJ4V6afPc1k1DjgT9Rt5Kl0wC8qyK7DluwgXic+lx6xugysEPIX5A0b0voDk/mfPuAefwpFQrJn1zjMWh5O/ezl2LvTc5h7DxqSkf1Lx6Ya4z8LDrfjF7Zk/OluQOWadgDo6tP2vZI1K7Zpv1Kgb+amel7CuOnTSkRTZi6xuQlg6hwHcgP8PvjeEFtNhBB/hWYdHu0X+9oK/9KBmJb+bikxiwY3PKb79ZgasGm2uFdFd6oH8EBi3ePLicKBs0gxe54ePmDvFq62OK3fPdzlwBHSl+QOSGRIhTaaYTjeZfb/bXnl7m6J3N23DdG2L7UCM8ir7NSJQQOeg3Yj3E+Xp1jObV/nn1RWdWJCY0N/TAoxs6sB5BPlrVbusIZ4b7au71oM8Zn3wKPDeDfPnaSwFGlwO2Dc2iW2H0ALqvlB/vDvD/x856+Bi1L11q86UDXIFkhd3DT87Ww6Xmt9H6TImIDPUH8G/gOLXTnuDalBxMDooKODx51Tqu1PCLlaR2yNN2SQA79H/3ILv0sveAS3b6w+5JAA7bPQn8tyfB1797EgecPomb+aXR12bA/X5pVjtEXYiSjNl65+Drxdl4Djyt9qxXqfW/UANgRK+D3qX4/OSLgL/Cdu8s0miDgQ/eK+CogN23Q6GdxpAo7/rLIZrwbx+dsD38uqjjjUp7RaqP97t9l397X6CtJU4S3tsuGU3p0IN24mjv3gYZmYG48xn0W8VdxCEv3avfHhGlZKdK7uIdYdxRHuX1QsQRt+ogWwS64WfnZl4F6zLjf96YBQHNLoo2gXVrjsP7A64xynuz1aB3yIDimuMHix7ucTAfBHDI4nEdIqcOxDnt20h0mx/rVcs9U/Df2lbyXQ+31XGglzrWbemil/5KM+sFjKdP7aAttd5Ny+YHnld0CBK37Gh5lMZ2ssN73MzETS41B70n2wtgzVvNVw7kgc0hCB/Zkj6YUSXlV+DGih6iNlISsN78+Uf53JkjPiYujUpfLEkhhT6Azl1VDrqAliiPHzc7yyOlA1pq4FOVQ2UdWc9YgUt5hs9PdnWI/cpdf+emtTMSnwS1hyrCtzSalyOfXtpBHjmtGlcF+4UWtp66dq0vPGjwzvBjOF/Jx9onhgArRxw02JgOqE2d9qceAJfgzR0jyHHuejx2mMFzhOfrP5REU/5cpxLbWR5/OuXWFNjXwZdPh+0j9b7sfp97iMkFPustYyaTLLGTn30enRfrJc5zWLuArSIyioWlU4cGy4A8c24C4E2j/lhf8mhK0hABJ7l5dHh/7Ufd6SLSPOQ+l7itAwr4lzyFM/E0Sh6NmbYlwm955Lua9XYO+9R4Uwa6/VMvm4AAqd47KySBV9SgW6qxTSB+prKnHvB8eGaA04F4+RIr3aU+PKsdaB+Sjxui5Y3K6PagAebcepmE/ooh/ZGOExPuzYH4XUp4jnmIsXC2zzzenI+MVId4c5WdKbPOCA5xV0l0hXd2rf4fe9smFLntr1VFdjmEKzcvUtA0CRUuqrQEjuQo6y9c2j2EpleJ8oj14vdAQ52BWx1y6W9JoGwNxi9HoB3+zxfDpW+MJQdbG/f6rhJ4TGNC0L06FcCvue3tKbDkrhnqThhgIYZDHuTwnPLQh+/3EfHgeY//HGV7ernytfmyswP8OvgHmoeWAivOQnzhYRtpL3n+rXmXvOox4sZtN7BOud1vJot+gq7/aQJ9a+Lz/cBvTNk64H4e7Nwm5trZUuJEnKSj0mxLmw96lTeYngnWtrajYHCtcvBfPpwXGa1cEpsfeOffVSEoAcZQResOVMcd/u1AMcVatBm8a+sthevlC/gPTkVha9M0VaO4HgN9EDK71MD/a/6w8+pmJqhIx9ZlGL/4/Df8/b12U08y4ajQ7t+RnfXUAwxxhHyfG7leRGT3koXLxfTWBMCl81+vD5JC7k7dZnUct+iQX/2qOIMmBi1llJuz7ZyDrhAhfZ1/zXauSikpyga1EiPhxJlYFalo5zbzUd5yBZqdMMOkCb3j2K6qmAD31NLuwWprwR3ijc7XJ1W0BS+m/Ah8H/KTeyw2ZyFJv3OnFz+8kf720J2YQJtceH/7SR0TVtIv9EJOsph2TaFTeA+UGuypMJsF8DIaOisWZEsTb05MqqhCWwRcEINOpoDz9sxYgi5/wnfShk+vfTZAJ1o0QnXAB3PAwqiRkywhL9jZvaWLbT/3ijrwznByOXIfA05P1LlhKc05D3UoMGmFMD8Q56X2Nhe4ZwUxCtpGI+7hikXJqwYG3h8odceoymmvuaedfOSLdsVmj5JOIyKZu/6suy8/t34eoG9F3Jrczr85XSFvfzm2NoHCe6WuGI4mMTvXr1IHgZYVKvPIKQ/Uq7fixEfF8g5fU+fWHQt8A+21B77yICKZZQz5BPgMcNIW8mOW87P19FYpag1FumeGSFhDZTMm2yYyYyUbJGPcyVCFsvsH/DxJQeH81SxBnKYsIFkTbCbRfS1ppLgGnaFivpRdvwA2nRTkPtFhbv0Y1KjyvzORiLDjsIYrDx3AfpVyDVpMXEWhLnXXeOlCtlX+N7vqTsPp59jZCS1ocxxhXYe+9dN40449C7E1TO+LLIwnHHxuWPJxCJNEB22Rms2dRzNwd9TpwQ8oMk+7V8YMFtUiPkU4ByTmD2C4L13pH/na+kHtUk+5zO53Y/PkvSDcAI+WgB29+dZh4xH05bGCvlWenZkBET+WkOd/z2J3gNmHQ9B7elA765uZdSRLOeSvIhGwHl/7Gx86Ts5sNIbLpBSA65xbvWz76v2yMfSjGcRN9LedNT1mBWgr66+E1CxhPWRyrdhYPvlw6+GaHqCknqDZM4YVSjsas9FyTvU3z7c2es+wQdSYRyXXmJhp4r9+C22mnXDWyJxAtzxJSDLlzjHEumtnSGYSXzkmfYb0KPn6ni+qqvo1g3z8SZDC1FBeGuxm/e2lU66NFEwGSZXaOrQR27OeXFpfILdVVajvKcYTlcpe7xn4bvzrURsi0D1aWL/bPNzOVRG6wDVsz09RiekgAkUghluCQf/1zYvblLmrt4Jr3/aXl2aTC7s/akS6dyexW/BHOeIbaCWkHBNUEXfyHmWpZ88y14ItG+Ao4ZN49C0ff3uLWYqme93PwIPtHnrzqHvz2iPytMRuuvyD54e5jhtk+11ULNQhnO5wL29pYfvlSJH3wgcOY+vfIA4Slo//AG+BrwCWlXa+O88W5gmco/axQ4aWwFI04Asd+KumwvpaVcAfct1BHrW7wBAzmp/td+J8WN9qCEDBb9+E2770G2Ghule/3q/TFXB+PIQYNW7iH2L1SYW+sHz9A2vnDHrdnq9nKf7r8ZGAt7usX1/T8H1RAW6paxINazrrNk4FmAH54Sc1NObcRAfcvjF4msAPQVtOZ+A9B9B+OXDHMfWIn/W4zKM5y0Y6au5/pHL9qdD00kQqd5Jn5pqiCuizFuSqAU/TRSPQdD2JkAP33YKu2mWu+oEMh8rhikDfKYF0lEo7xWCqmsXYWuM2l2vQQbecYrhWPj9Kd7J7OC9u81mNyT71tjNxkIC8vYK8bvfvnxpyrZbzTg7Y6o6pHJwLj9Nn2YM2GylKe6KOfesLhAEvNwPgLfBJ6jNOR8qzB/1Yl3yYkd1Tee2lpFEra68VFPgd6XGURhPwQFWAevUzt/X0gj+PTBAmkwNcz0/VhR5zWsjgeHfI3307vy9j1m8k9Ro7CzH0rylwhXIIfz3EgA+9tMO1HEt35+opB2ZzLOhThPxuazXUIuZ00LfytF4d5OSkgcpovHUUvIsquu2aJXlyZ5pLeXs0MfAqSaJ6wSENErJzQB+IJIJ4Fk3ov+rZes10d5TUsZ78qXNdVb1J08B8Vt6XVw6m4xBPzAtX2WCm2jEtxNU5F2QCPlvVEC/A8XcHSSfIR23lbYIaCYhDhLXjh7ZPvQn+vTw/n+X4z88B/6VJfcJ9UQ8qgDx/5975uXe+FsAUeYjs/UD04fIBGC8JPKMqaiuOUtCE5gfufUvEGR1iQ0TYAkem91JOb+mSxDn7enkSwvNuI1m0y3FI7oCB+FgYx04JE+66Y54aiWOQQhvQAAnwQ98DolCkS4iagQJX3Lo7jzv18O5og/fAWfbaXScc1ifwpKRBJBEBfvmLHmCd/MBnWv/XVRMQJhC8U4k+OQLOInVgZ8hDLDHQdFXT+7saKevdS0iAY71sVyLWWe5SWw9wVTL1DrDWWUxS3k+RFiQAzvLag+2kwEUTCZGPZkl7bGdufgu0MbVHPTuD0PbmA6/M87H94Ka/ACb1pYM/dIiEknOselqpfmJ52P5USK+IC5zKTe+qo6QEXV71+q8PUfdtUC7ZPUPmQ/WNl7nrXSm+bC1spQ1JUtHMOQLGWbQb2eGfekwWMUxvtnbD1jVosfmxvRakEDMZz6405gewzva9G9rRs+0v+t93bYjUE6yZNBsocMP1U8Jn0cV85/bcIbyBTp6+c8tHGA4ql6zSUO0ZOqOcT6Q0mSsx/oC4HDO+Br0k/vPFwo1TivagArPPTy9/7Ot956xtDwgiwfZu51ykrv9shsRI6e+O0e0XH9nzCgip3+xcizRcXxSsn6OZqnSYRTOqJw8S1siEgM7bAd8I0gD4XkFOR7aBXL557VV+HiJbB4UUXcJFiCmu4mSqBIHMTVPat9t0SAbAv571qUPd0AF+X4KWVuT57jYendJ+/XMI9Bvw8JECZ9p77dvvmfcg4BaTPI3Q/7D3ujQLXpgRTxYYrvvyrpfyzoZ5DznKpPZso8c+6+eHCK2PJB5ZD1pC9q6MyUeD1Fve3w4qxLtSmsseqa7sE6cuIOlK4NxyAs5sVn+5kgvvd26PiwMWzrcmUpMIke1zYU1A7T16mZxXPNjMFfAwtWxKwaix569KTihb8FUzZT0+TzKe/BRybR2FrhT0G/g8avqX//x1zqyflduKkpkc8AVYeHKoROIANyK5u/J+5zwO66wZBeRuNJW2js4h21LON+Dbn6wHHuNefTtDg7pTSqN1rKL5YM9gYT3iaml3L96bx+2uMaSoQtCyg1Ggvylx5+/0+e7b3i9hIE6jKUrNdlZ88rUAiReX98rBn8Dvfw6R8Fn47h6CrwfxrIcaNXW/HkF/OqKnMhvWr32ASblflxx0XsVvbY7N1Xo1psHmxrBWJCrvuaClDNKLCp2n6tfY+uEpYFJZv13qUdv9XqXhHWo+XZr4C1UeYRS1Z9tHYf2bxNK+uM0iOmCwdo88nPK8n6wfMj1Et4iPGlUR/sjd2xPwJMm8ZgV442g732oUO+YC5i3hXAp9OHITAAfi1lNfhMC17b68l+yPcWP3l1766w4K6k5My0oGCqjgjyaagdfQQ25oog2NpLxxERuVmy3K2WZDQFdUXuqXRduxsR0UN2fg87t02cSH6AzX0XhckrxxVzZPrMTw1wvDlDM9YL2MdaEeEGcU9BlWoZjYKPoj0y7kgAHySlRHoqIucAghXBUp0PT9Q+LGeguomk+jcoC3GsIz1C+51J/cM4wjXZWGv/LXXYYOsBTnrgx9cjw9bH02XDfwyVteDslbJZX1gLEzSgL7TLRIdr++IUFSHIW2e+IpaIeljm6iRgnniICWaEnl3ibgWxP8/xf2RqVjeOaFDuAy1ubsloI+0/C2pUHqNII72aDP/+snGmy33OHj9t/5imxP9gxAhg/I3+qc9SSoY/VkC3VyF2+FQ8NyEA9lyld91I/1XYV149d9cmrMZFTQzwSwX8H6yF1zy8z0LRZdWQ/BKm7/t+dwSytufhqnBWXZtoAn3HqmH6S/yswW9OPt58gAe5EBnkVeOuX3/L7Cv3slhYp0nBcTPYjMLR3IRVxhPpg95y1RoHOkaG92bnfePy5p3GagPC/U+W9eZV2kj2qxc3JB0w6PJ5OTgt+BnH197Tnk9bDmSsDKG/VKWNxw2uBQ0EiM6grP6a2JKC0H4NijmI7B1qcFX5EBOHaBu8Yln6krWhqfQfNpO5MvF4txWZCtdk+IXeDYwFNe+9g7af2esUkzmYzcmMPeaVa19QYPykcqk7ds0W1ZaKm6zQVwljI760ti0MvvT4IFB05l97+KbEzGOmiTUjZP4NVVJoQnUIMq/Odxty2dqaiWjd9I26fZztS0J9KRq7Tei05yoIyEB8DU3Gsp6MVWIXWAdfmRcrutkXR8nEDfYlD+ouBCXA5M2VmXt9wRSc2F5SYvrXenw/tDhkZyr3EVNi3olL3ipZvxG6zX5iGZ2GuubnZ+u8Dq0TzX5wYTDho/O8Ta0QGZUqF61Ykuc5JNKk1xjP7raRDh1ALuv844LnT4cqTdHzcK2VncFFscwc8muuVc/Fsam/MK/AN58LJ7rt9AwwyqF5s0uhWlfPfSTt2427Zs4fPOO/tyJM8jpPK02CwccE+azSt/AT//tzpgQVX8BTyD9sy9sRK4KeHTsylE9+tZETSg2a2v4npn58Br+LlioQs4fgbeGckOuFdAT6XL5xQBP4/at/q0tr7bB3gWLy4K2DhH1m9z75XP1EzlETQv5H3Z9OUD8sQF4v6kY/6sOkUEpK8aOHwKnBWu+ZCG07eCVayctZ21+1YF5iZD/+fYJXtbg0i8hFSgzP7qvty5k4MPvGDelK4wOU8AFxo3x5TDe7Ae1/7h4x3WTrqyzzrthAd5YM/7Ffz7zctdATr5ZmsKTTm2K+DOtsfvsvM2wPvaG/Db19oYSCTcSijgSO3+EGwS3qs8HShuRoMl6OSKbU6QB5CUaBEhvnMjhEblszLCnvc9NbzfbLTV7Y+n8sIHiUkiO3W2mzG141MV/J3RP2EtwPMCbdGJtkLcPXbKokoMOdzno9WALZVR0tUfds+bP454+7RzgxpHV7zvlwP+Wmqpvxu7ht3thTkO6OvVg3vqCrpxJlL88Q3h4UXxLSJ2JqvQE7G1r9hAjhGPzJ4TRcr2bN2bgkrZY8/uQgqZBCXX19x9n6nXfugluaaeaBt+W7GegsCddg3jvu7wo3HEa1bLnbnzhxjbnDq99W6xtfuBRuFdiX6RXXJtQp1Tyd0DEDfCIZ4+1p8izBY26kfuEMyY7TNKQtJtEfA7t5IhUib5hn+/CGe95TF+naf87Jfm0QA3BI0zNF1zIS6888L2d/fAi/wZctNpB9+Qo0TmEf6Ukdgd8KaA9z5Whagy2RqG8AO0h0dGnUEet5WfbzTexGJAWIS3Fwf4OUb6Ox0hxw7ne8PFXvR+Vxvd71z1IMP828MqhlnVjto0w3UFHPyzHs5PFq2nqrf1+drWEJUQ5z8EuGN2AgxwEliTGsAzWQGa/69e9PpIQ7OvWHI42l4RB97n2HaU+zs9rD8bA7HIk1w7ardDpiuRYVQ6M8HqYGc9QJ7Z18LsU9A5HHjEAfJnViQKuHdZ9QrWiH7jRr34/JzaHqOoB0RONrJHXLDNCvRWnI14bkKRVKFmRyly0vUPPiRnCmuR2d/zEqmB28jOTI31rQf+VI396lAkoDe07Yf1eJ+M1BGvvoD4IMmzZl8Lh5hVYXtKWTsQYzk3CbmjFTxzZSvi4TqBn+Md4EfAuZ8AXm5l9P5gjp2P/nArlz85Evkx4KgKJ1Ib+pYD15J9++pDtHM1v4HzPXgEai3Uu2P47pdIwc+ShQhQmRDfcJ8b7em0js+ISHOqWft5xI1bje2OWQ8JSaIUOGq2mC4z+lCjKeKD+IEV/SmD5m/fJh+IKyFOd+6Xp2I96FBhwVomY8A8Tj4p3ri2zqwcBapHbvtxbG0mKp33RYnmaXvvKeh9eM+ihJVbe5rWDr7mRuz3iD5B07/qbeQhhtgc5o7IzPq74mOI+LF3PIbEvEft77kZ70maddpJu+ZZdtxnnjlU3dZWpLVKJvvMXSEV//OPQuyZc3uK5/tCHGyZ4Qaw7fVdK8C7MI9uVw3aYQf5mYWtrc0/UWlyVpAUONN3KRLrofBT2dizvSMB/dmhTXfEmmdyLTNnncuP9Vsa0c/apA4b9Pcx7i8s6H3gjPS1t1yzzTaTFIlYhCRa05rTGXJ6W8vbB+HAcRy+akbtll1/pwWduIR3FJaPGnQBrPe5cmlSChIfwrWTF0IdB7WHHHcgv/OaAZuLP5x/CEE5s3OuQrSnwxowThf5IE55SIjuQo8P67YUWAKu+ZAv50ZMZ9BZd8XXLpOzdVT0ead/qlC8Udli0Z8vDduIrEcUVpZ/NOY1Z+TefKy39eBPOdIQa82j5P7Wel+nLFxVEVp23mSYEBV8P4gI+J2hHRhL4Tm219QFbIf3quVtx0N/qRH9PjDb46zSKhCkFnSAPPg6u8l4x+/5cJ1BG++OcgbuhO28qM+0SL1DOOeSkzMv8LWW5A1wJM5OV18tia3PKW09sBhSR53enUMMsR+ZmMnE1lI66WndK+7nlbN+zTTxdo4YZMzvTbeZ85A6JcdvhK9/NGqcvZcgyO8RL0RkPajSBUdVfvUPPElF8M96/Z4B10LgoguFpGX5Z26MkiNuG3l1D6Fy8vE1j/7GuWmB7RtPu3OWo+l2HKZPyLKk7gnNXYV2S+lW+S3L7bl58M+lfWs96tz8Y20nbxnF4I0x8p0GehIRtWcSJPca1DD9WbtqZBi/+h1a2t/eOBM+Qe0nddos9TbX+rn+3jvv3t6bPlOMt2QBDtaLOcfTojoC15sUJNi4whXPNFqtIOaxtDMZnjdFw7ZoBrwjvV81A+RGY146BeJWvHHMHzuInZ2nu92iIZfg+Pf8eKBob/c4PLMvXX+jheXicM/RJCvpX0RhqgrILo2o05jz004RB02FlIvnFN5SxUSu8fTCw+EYgSzp8A70PbHeoKmENRKAvnZhLViPt4LeuQgXOU6fgCWyjtqqlqiH3wFNsfVBuy6gh/bCkEceThWTwJ087fEw8yGHEhG8vJ2vHg2n4RD5H7AmbsDRdva8HvAaYgPD+l/bquhOBroFnsCB7630AoqmM5tsUCUTbUyetwOghwtac8mHtZ3//JTD9E26Tffrx7akr3q2mQ74aftM87Dlx9N1zgoqDqC7mLd1RNzcOe69nYvujTNNqbE1F1cftMl8HFb3PLzNx3y9gvXkasDaVMBakeZcBeT7EIDeR3Z+6J9vKt8h+Iy+FaxPqp1jei02RhnzPIqk0CFmpYNy0PqYOXprZ5gDv6U758sVcu2wXvmg8/YNM13NfUNjQ/PFQD5D47Ffv/FwNTNDX7U9eSXOfiNUDrrhWY/tNmMtoSHdkH69NKZ/ZsMXxC4o0Shzudj0QgrWRPiZee1QAdYcsSghB5rcWG7+uJAgdOsx9HJPDKQnoXDQH/ZmBp9ICH8gdc+tFwFkGC4mu5/bZs58B44apOF60Z5YZOSvQCMA3xJRDZjViNRVcn5Alh3qfuUeMWgYwDzbZ1UVJK+YAcz+6+UMM9DHvzNIIuCzsbLzfOz8NdT0qZONBpXeebV3qGfn9vIQvTHQ4I0zh5m8Mda3+3xQqa2dzYevFZM3679nvfvukre59U+yPSWvMw7Zi3zn6jaPTQa62A7sOQv3di4LeHIB3mjneidxG3K57thCthx+1jgobRbyZLZ2DTQMaI6UcsJJ8LXKluYO+N2BLtqnAcU6v73w0JQScq4wqpEoqOPN72zZ8nk7MYlOkpkT/N2HkK1Q8Jwz59c3KxexfvLnekiXf74eyBm41kclzN3Wm+3d5Ax87nPv4imNVQIcNn31BcBztT5fn7ZO4yA2HfwuoWh6ply7dCRhM6g3FmKiHJVQD1OIZXilwAVOa1J7kPhspR8H3hBkSC+iIxFO6djfrWcPgO0ZuMpLO/iAQW8vTwyIM17zuRfeNB7ifwszUyB69Kww8B05ydzbAp8hU8PCu/UPKQfi1GHo0mFqSRR6OpxSjZNx74kEcMWF3JHYGSevfQDhTKgc3u1AjwVyvHOwnjHBvxVwoFPekfiIN1HmIJm7kJsiSo9h61ex+tEMuK/beof8Rppova+l+q4jkWTSjPa9w3PgR9A4TH49X88QNNCGhO0l84SdgxMB7wn4AItn3PTwbESdXx8SZ0/aqzNwmD3H5MoMcNYRM87Rzc4n4P3tKoS5NTGe6vD2SHmr8ijh9vyDLiZ88fm80zvZAx9leirNeS5tTVtvKo03rI6AFRRTIfm8rd3bvFuozEdiqqE1yjGbyk0wD1qHSg2CEPA/vEnhAFbn67cq/Lqn0TSw02sGzdXukYFSze7WW3gP+WvvUdBJdEUgznSv7My2tkbWqxQUB8SXAlwu3cdSLiJvwhUgyubN1u1CnP8cIvy2dxxHxcKThXCJoNu6e82w/q0xQ7XLbfwSeOcX6xFA7Tw6abPiTIHbnJTYXvYI9EX3NYvTu0/N1od8H1CPu2k/VcBNbG3PvezMgTD9A8sStPX65/dzluyVKz81XwNmbi8Q40QPM3CaqdyjZLDeb6m3vQCHCWkAGve/eV6ARkB1OULWIxm4oEvy9Yks5J5xDTjREuALoGO+nhnCHzmf7dyVl04B7ZKuxCBa+OwnXVonl+2ZQv6oBTml8KGEhUvqoogM4tHwZORcWS/FCHjH8zgqWbshaOjZ9n+GotjeK4/fRYxlBX/Bu81P8/H+2ku523mye7T5oMEGVcuGH8fJejPcdJh5wEsA84injLB7f85/cx9xAJy2ooLcgUuw3CU/jZlIfro+KqZXdPx3qXC7a0LKU7nGNESvnmKZiRYruUYUt6DFFAIJ7gDjdlIjysxQnhsVAsZ6rMdlJcUqy9et6r7uokhuBzvTCTAM9FKc9+aDYWCZTNxBI5KdJ647F3gJw6990RQw4cEGPNuePJDwwIFIBe99B9prOYQCp+G00H4mgl9XYsT7A54AU1VaLptRuTeWDaBLP26rnPsbAYui5HTQDipFT20f4Ipw51VHNALzuLFw+gYsWh273qfdxs5VmqmYZD3aOmGRqUEtygCHQGZFUfKRiwblzmzPhpEa2oNw8VtWKMHsTL9+vbWdxzr032wdMQ2JeeEGxBSm7N8dOAtmaHNh7jQcjeiAy1VZfkN1f56zHg8yFHb/OTgUmymDnJZxsa3C7QV4KM8j6wUFa8MxfsbnK4nM/eW50DDxqqkYMg/LzAu9psd2zzqq3Rkr16fEUFYOyTfvxGe90EHE7S4faE8RaI8w2alQRbXTrAi2cyjSmY7mDus8ESHoy84M8N+u6hJXBa967NujDm2dmogzbvagfa0H8AIrfaQ9uel8/ckktX4Q/52PYHhGWHulSazfQ9sUGANHhvyJBwHpCvICsp66wNtgTais9kqPdn8+gW/AhYuGbR8kXMsjn4wMcZd1GwmxsRUuLYDDxMBVO/nfXM5n5ZlY9KSi4c3yKJlKEcM9GopImHN1hmfAQW/YGZigl1sDMfPi85RE4pQBH1fO7Vs773ddtD97Z73J8b9nZmelRdt76pa2htuhWPXHGCIfa6dC5g2yJOBMa3l1CBptIEv7tn/eut85QPA3dCjvTfSak3UFbgS8ISLlIZ647cG0Xt4yEAg01wCxu7d1jfzjHf5m9cyF+dCn9QgaxaPRfOFBCrx6uwK9dtNBerc9j6kx9Dhs79RkdvYz3rmvWixYh67vArYXe2QcHgnL8VaQo4bKRV7pJHPDpzF3SFD2dGDhzI6Fdllse4oFoTFo6Lh9KxdCyt+Zr+0570zI2cZ6GSS/vSpx++Js/YG1XrUYoZm4adNcmkgj4L+7pku2kCMCaXBrm9k4S/pjdLZ7cl7uhqDzhDwy61s7A48HnsjXXYrSRxWaDeQKyH/9yvoL8aJ97Zkv1YLhvYpD7UyLcMPlKFcr9WHf3VxQebbzeEv6BIyOzJgv5bMJGq+RepYSXzJg7KwXfTmAJndAb3U4aIxqK/Pb82FUIGLrQf2qxdohar0/XIhHKtmmhNywr4DLM3tu0OuJSTVBvsSgQ865C7nCYEEGvRWjuKieBlyaADh9Dpw2bgpF4PMT7sB1AFKlsJpKk85/6xAw4GD7MT4sV0wyHs5JXkywnoArO+h0KMQOeEELmlMSt21Bc584XD/cd5KLJJTDTECTbPPoej92mwfpjEcGmtSBfsJnDJrxv1mZNPI/xaie2tsMeZG08Hkl9c6XTM6TGtYcfrYQF19BHzjKaV24ln2+KB9ie0tj5cLa9Ws7czv6uufx10r161spS1fZnpKg9ZX58+2JK9DbMkycHfBKxf3P1GtPtZhmwAo7n2ThoV37jwtw9E8FGg6+85aidlAjXJNMfcCWAe6HcLzpBG4gF9DqEJhdiVo3H96fbNnIF5/fLQofx02l2Qa0q3hADh9+95QjU3KmOHduueQ6qiItVaQGO4sJ9Kc9mzjUPVns2cSRAbv3vi51Px9o//UohxlWULgccPioePvSsG6D6ZPBE+ZxMuTx5Bw7bfsWbV/vVnThCjTAN+giLAtVQV5pK0xPBPTs3mKMQ/YlcMHKmWgpb9djTxR1OfBr5/L75ITFzr8azpn1U1h2ZCJxwmq3fRBMgb+iSxrqMx/xWLn6ksYpIoFeyNDmxNso+PuxceeRRaitOmo9tzf/cZ55VAavWG+iCngoaM+hHF/9y1e7l7/LOS6AY5ImBNzupzzrtFcXk5T84Zajumdy4mU/lZnEt3zZzLlM+nyBdw/vVo50oqAXgPvuayzmKsDnynn3MqTy3CN2bljxqk2tAo5SyMUpT06NtPVRxCqFjjvJAWIqz5guyZCMwMvCypifRlA7pw7WUemlLPmplzbTPfrJh5tv531lDuCFsw5olKSpOw+glV7P0BXj9KkK22eEWR5Nh93SLnWA90ehItrRlvZrCfhJ8sj6Z2F5HL68gzS+NDSRHWDIYOdMNHfiKtBw5mfvEsQRfhN9/zx+3IDv/f9cadonDkfJnbmgFUOyov0tEZ5+5oMJMvf2YWe1UokmAvo092gqinZmro4Vf/hUCECpbFUXxhBk61DngITEB64HGIeX2qNnyf969seqJx/pcPUbpLYUb568T6Tt0ZNhOVfYgEpKVg06zxpYEMRc3sgZuIUfHUPBq9DfA2ZNFRITL0whrKdQOF9UodAxsvWTCP6N/2miI7/h3Pa9OxrJwZS14G4emOAoNnk+tFRhbPkR08wcRK8BY+kDdLmjh9XF7n/UcVsK2ayofDx+z9YGvKM8e1ZPW1edfGvvj897aZDMxwgXbBCJLEDjMCLLYlPmoxGVJ0rA900ppsdvLflgFoi3WPYoAK6YlLK9c0ctaaeq0pmvzNvIzDXlkYk8h5hrQNtprF7YexXObXXk/k/KyV52NKOMzjWGGB2n3voppaHzrGPzyQ0Bnr/OlYtc2wsr7f6FMDuI8306Gnhqv779h6NRjMsZuBdJ81Ftj5K+zr9+apH4pbfZ0Wi1pA638zF/SM9nHTfAGeh85NcLcBDroV1wtw0hdxMaiIjx6Vr/+pCfATc3s50XmQ7rmxjb7RFSaQV/L0O+Ag7zeoao6g2hOJyPAV04/H1j5zD2LWj1Ce5v+klZa0QsxhzRAJ7NQF31ljnTlcn2antNmr55NA4Kta3DlDq3Pp2gDVew5jDo2AQw7FVza2euIQHaXsZ4V/bzM4O7YYIS4EfmOJKUFSo9MmyfvWJBeGGcHgBTgBfbukn+ZLY3dUkOpdHARG43vpgd5ENp5wHngFP8/5i6tu1WcWX7S1xMRvwY2wiMjQhCF9AbII9gEJjYxMZ8/SlltXP2Q4+9e3VWuJVmzSlVzaL6tb9xP7ibt4rxbeoCW7ajTmjmpXmz4f4oIJ8LibRNAy/GekxUSO6mboWIGmIVcAbWfGzm6vR2wYKoL9wOtF1ziftRwPq68E5qwPPXtTy6M2flnlcPEDt5uoL1+gQdOac9bxWTN2mRfRzqIe7fl3I7hTRbp5WFZ9Nrppwm4Lo5AOemzJnvScBm4niwahpLMaSNN77RFa/vxSxOKWNPHuKt7NRSu6bWsxlUoEMSrCNYo4/SjSTJ5UBc9KjYuiEDChmPWpqPE3MgV/hmJoj+4XzDTK1b5fIj7taDYBq4PnrtH/5kw+YBlMDC7uhAbt3iQS911/gH4BtGZzJrLZhLPrFlfJJwKaje1uc1vDsyx4GmhQb+NfCWMy+OLfQsBtAzPn/GbuyeaPNm5uu8zonMfC54Fg+f3809x2YWuILng/XVZDmC3GfTgw260pdS7bSVUBnjVs3AZ1ohgHOYvUkf8mugp0r4zySIwlNYwL1f7pRhJn3vVWPmVC0vasQ/s9B/KL/Z0I5cVKjg/shPYU2RbGsvtrxVsRCb+JBbXGK8qh6xGC8Q56TsphKz2fTv2Qxd7JjKTWF1DnDapQ67Z8E3r7rlbSrUVi1oouHYlRayQZvvpY1S1aZL6XAryRvPeOGWEBun9uPBxX+z1eE9q130nQoz2wm+C/paTjy6HBZSVo52JI8SuG/gf/rV/9WfjD87b/qDtXrE1rrI3MiLd6g7uOPV9KxyjszMkyOmoMogv1WDSikQbOVGg/Rjh+n0rs6gQVhj9n43pY+OUquJBMwtnMjPkH7lL0qzaeLanJ1t3mS3sk0fPrfkoxDrGx4kwsGMIKYcs89cBuuRdmpFA/QmekywwG3mWLPs8AGL8dcCK20B4y0eM4EvzMEb4A+vui90dBsnHvBDcjzLRV0NH1fZ5Mve+EqM+5NGJXDZM+CpTLVa4sCfFQNuF2CJ+/kC6zhhGknQmWei9TddlA2a5YhZE9J+lHGgXuvrTfrMLg02+M0P5PV7NeAmMXVtLpkYRwtHpGXA8bGFb5B7u7Jv7jRsLtQnB+DEBeuJW+7qlQwbF+JbJKK7M9t4nWyMb94TP9evvrYV5Qhy1iYh/+axYwXrLO4s0HbycGr5tXRiJzM9ITa/Vf6UA3+agRsahzcbtOZKOu934x0CGLwSpnaXdndpa2CF6wvOZaHc5qVhtbJUTgK9T9jqfnDS+0nMC9ltHjHHNGXMKcQIfHPuqTM/Tmz94DlpT7umOQXWUvrrXZLd5sT4BnbjzszpqezxKHboQfzVg+rOYuJvlt8RI+Ak5jvkuuABl9hq7lxYz1g3b5UdbeLw4gGDWyWcEDKkS+H6VxxEmdquR8YwYKH/kFrvlT8GZU5yoiE38dG0TX9K0IJ1++dL/B2Hm0sp+A/kLWpqlbGwy4qrIO7JQ3ByiCHbx4AheIgewGcPoE1vhWO/FTnoHr5/8I6D/thIYeq/8tqGWAjFbkNFrh0FOtycU72eq+rXgwS9BLHUmbo7bvKey53KnMn70w9h0ZZwua2t6QnPcZHBvCv9ucgs/Qlc57tyohsR6aMWvMeQa8XQCNGtGxGOZi7mKuX4tR8lpIvNjFTj6Qw5wjbnHX28bMraVZ9F501J4MFzrBlBWhgve3Fep4DvoEu61amzfcDrtyT8PfcIT0ivqh0vjedR1W5WyseD8Rt7rS8m0B7yEujRZsfR1wOHfAZsHTMH8LQlG9FiafrWZBDdsrY5Fh32gMu+AQcs1e871l7C1heI/ftpKOy633t0wT9ViOJT0BTGy/tV01789vHcHpXGDdf4M6PKT/iGxP7749dHquu8E7MsGqIrtb4cbGY82Bgypc5ZP10yBhx7p45xSDAPIAYFTk+D6ogwfXSNqZP8b7bOtDsFqs38qYmNsgjsBd7ZFbDHAvXGKn9dQg4MiV+7DLhvRTd37GLMtNqA5gEOun7WuVpJ3QDP+IJ3s24VVea0zNTGmn7i/H+4TQNcQ6b9ak6EzM1ecb2LOngH+iTYXYZcAGPhLLzcyyGeOeKTaJtDZQOWMcIUxHu18GMN2Rz041EMnCr3Y2aW3cWg3quQX9P8z0f6mLqNhm/0XXWgrYGaY9p4ZlYWHUy1iWe8qVYyW3eKmR7zCXHeAe5MDHTDvTS1xp1n5jpDnK69tGfu0d40v3WZfm2JfA96/q8+KsXwt4pebkgA99/JLXXlkyDIq/Z4hUceajR+Qwa5lS7yC04SsmxS0OcJ6zxOaPOsu3hmbZRkgB1pr24n47PcmzoVchXZlBp9+t+1eGZFuj7DNZ/rn8qK0kJzu7SsK2vVZx3Y53g75ZKqpnQmmnW2h5E6ZLoD/EUeXvho5sUdrGgoTA+50xlXBo8E+yUVoEeouotWvvbnOXYgn+ZfZl5xdHyuJ7Zdu9n23TKcGy8S4mh/P1qdd3BWVzKQI++jVAmbAs+2ZI+scuGbOrCcU7e+JEGTmrlc8aJyU5srdkpTh7/mO3S/PZI+wqCzBkl5KUXzCXGwoqFEZDs18E1SrnnGOx2yTkNOHU3vw0JAqRfP9fa3BgMwnezwD/AHWK5RB6zWkeebeQeFDP5mIgMHMd5YoPMMLvcewMYvtzkDt3ma+1ZtxPCu0WxXm3nTsKbjfzMZ6NedhaOZpVOqQX5K+O/mXbBsPXC3eBb218LcTVK1H38eJrjTs3RuC+Sjn1hHYeniN0z5WOQSMGUdEGuOq6B7lM7tYbxiT63CBS2uwHnsX75vb75xaPqU8J4FWAMvXBgqHpmLLhiet7a/Xho2rG3VnMJNwP1IQJ5zOf3dn38Q5j1UP8+F4DoTI+iw9M528JymN9zlZ+mQuAybK+9GCtgTKz/2QJ9esalL6i+Q28Y7X1BpZme/NGzcN3liZpd0xoMYqB9gltG/sH4g9/FG9OtzFl4enF9cwKaSWZODQ0VSm4iKYrcw3uud8QT1n1R/3SvdrFLa3ICbiWwwHs/kdcYRgqb3iGUvmcVvNfPaqlOCCzskOpqANzsxl0FqGU6LStPHwW35O9O59Ak2nnMnHZld5fzE5ugE+p/aMgQssupufQe9T1gXvzjbZ5xzB3QGh3t+KpAZMWeu2AFb264tSsm+7PX2JFZz2aGSitWiRGQ8Tkw9yFSzKRVh8Uz89Vj2Fy9bYptR+UkRvHZ4c8CZ4B391dzuSndjZbYKIf/ty2CyIO8eTP9fudPGXcj4nlykrVzQxG/HpXFPrR7jtray7aSJu9kCD3EZsymj/kq5+k0+180JNSXw/GvpP5yjHb3OzacSdJnQYwMrc5R2Yeqfcljv5vs9QetPIvS9cuCf8Q5inP7za4O1sFVB50AO9SAvB4pGE+goZGq2a9OrgfiYOtg/+TLJ2peXDnBjzW9x2z2NNzEeRg68tszs5sKpHHEro7Kr7yzf0NT6clkOscj0A/IuKwYzWc3MrJBx7Yxp1dkZcyPQeZOZuySyhae05QLW/mvvy3j8wHvSAx14kDmTVeY6Fh05ZN34AP19TXZRhq31HfhLx7tZxA7kQt5QaqsLCb4elRulsns4wFjvVcdj0CJlvBRWbKYX/dYb/fnOXTMGetSaCM+58dViSdh8m9mrpLdx7SsRQw6sfs86kKz6h81tdTwFPCaubEAnhrUvjcctqSligEwTy0fT/7JibIp52PR18Ip5yP2iNhyzP3XzLgnlL2fh/nTjNLJKVrtHl6BqAc3q6gI4UgzxwhgtnKr/Mj52/cEevayb76dsOtT+2lOLdlNKfmoXbrz9cDI/+qudy4QC/hJNdPGX4yJ31fndrnbxPTv/V9eVQ/5cFAbteUsd0Oe9slPWAX5APnPI1fSywPsoQH895bCfa4hHyE/dEfR+TOOlWvBLf3Vlrja/fl+B9yiZh+tdd08Y3h/d8XwENE3yr+vheVtAs5YQ8zsBa0uJdS/zTZo5cxcHjTln2uKATweLvyXZu5093106FHczkwvw+bW+QEGPP5J2ENfdHQMvSY03swA+sCBOLHSXjsKACyFjKMcDMfvyNBPe5wnyzklv3squWyht0pKafV/eZy2fFdIzcHvEnJEbD7XXOSxgrM9yZTzaQauYva7VIsOxVeFGKp+0ytnboPt2lVA3aX89xXbqFJcxD4y/KzBk/zLLoL7XVEfMRU/j2CyE5QJmGc56w0K/rvVTGR9hrq/SwlvQMiGx9ivZjStlfAH53kmyNeLGKytUTLBxqHvfrRCecYiyuNWmZu9eWO9P1uMfMxeFigtoQc+PdfzglrYU5Ov/rmWdKGjcFgG/w4+ya1pq+u0c4z3vdSq8zCcW3fnz3TNznGU/ftIetKyujb/sW8IeT7mTNsmmi6AbCjGewTq4ZpDrQPvONLCzGLjOa3/ezL/LAnQHze5VfSRBw4I+9kBXxnfgOhYZxm2yU73xmFYtOZbndzfu4xUOjP+u3R8ttFftl8eDixfbm0cdNBu6oLb0tY4H6UgavXDjXvkN8FhpWL6nbNWzXbFkO/VG3d+efFrtdJ+Z2BRel4gxlyFJzEx5xuS+6lYL/IwmIWBSiPe1swbdvgf8tu7w7n0RcE0t+1UTSGoGyWxXA7/Rk9HSx6fxkAIkPK9XB7dwQec9sN74tN0UhIGW9YmfUcmLRfunQf7uqxKLPIyHbslVkhjvqkUZP6uLCtL5FPzNAd8fHPnP05Mq4+lZJjv8FMKOge/ZgLGU9uuOWBMW/dzhXE2SNyVg5hvNL//OSjnwjX++PRz3pu8cp3KQErS2XfTWk/rja99ml0CugHVruAlIeBlXWt0O1teKajWCdmaSkTyzPBEbzhGmqwJUbDqMt9OODL9+JoPaZ4E3pOL9KndRWeV4xcxsWTcyPcH7ov3zPZiA+5t5ggfg1wfj2s1DfyGIXDPg4jQgz8yyFtmpJ+SOn0LM38TVZkKgxbsGSz0e2Y6kxEceYG7P3c4uuW+rvBmVtQ6lGGfRTa86PdAUCFVsehTOyiq374AFZIE4QFgomvJRlMF8NLMS6wB4gRt1fNA/kNuPDEGM5cphetwqrcsKeAjp1gYjHxA7Q+Y0kDzQdxLIV92XI8V0qUTswhfdVMKaS0Sm2PSYCfSGg4bgDptaSxv4rJmLnImQXyqbpOWuvqfm7D7Ud/pc+9IeH7LvPNKxK+gPEOtmFs58pm3x4qITN/tkXLMCeAcwV6v0MfCnmWe95KS/reqQeEVv+u9UKsxsPCF7TGUuArnQ0Dezir+rReLfuXX9xaU79WSOyTmXWezk9dSS17Uo7qIWc/TMgplUAU9qKr1Mq8+y5xee+zbrbnPM8VEATznlyq7NLO6QR+mCjAdPBjxvWy/6J0F8wG0D+XA6p32xqvXv7MVDPaC/WpETA83kkw1lM66N/yAlrNT8XLRRnwWp0aMedUBn+/NTdLVV2sRs6R1Zp9KKq5Xg8qZsHmfD15yK2RNdalWBmVdCQItuvLp/1XDegAMAb+eGUJKt3KG4pmSqrdWD5MA9u9szbaU4OhCZDvIU8HZKcVL0mBA3OuLBcG2FqnCjhW+3sT+iypmQQMUsd3yfUa6r4U+njJnD30BrEOZEW9ARkO85KiAGgC/OSb55S/UFcD9dSSdyYsuDGOgW0JN3iJGRufyHmDkCoRrKEO5zkYdYpGbfXMK967gH3pytX3vL35WpiwrmTjq4Ia1+lgEGbjVfAB9modGRdPgZc3IuLDRjB+/MXnThApfKCzPDdTTeLbXD9+p35oc2HCc/gF7HwdqsEitu969zojLu8YHvNi4TcP/+eEi7h/F4pbFZKa1qaxuZHtcYvs/v7ODMN17MjWAIGW1xOTidlXaN8fAKFJuyFBQbbiPAfrjHFjBpqV/v8HfuemFvfgqb57iFbM/9pQoRqnv42QW32e7jXiMFeK9iKubpxLkuW+A8ob+COAzj4NdHdw+xsCpdEtSCOILpLYf1wd0GVmb0ei7IM6MPmmziHWgfp3ZF/rEI4NeiU0fTx8EWlAH/Bv60nqvsfQbeu6lsdOE8ajIz12WRN5ZHxqvkVuSEA+8QJ+Ffa8fMDZQi5n+818wPmw/Ww2b+GvSI7eCn8TrYWwenuUvWhKzddEKrbWXOToT3VoibXbbNJ6zlramzE1oz4CxHEkYeN/NwB0QrpB8ErmP6hvAQ/flUVJCP6j6+81B/gja34e+Azo8S41tGIMcCj/EqDvjlNp8kUBFQBl89pzcxgG7m0bMYmM07fjt1603i68Gc6dYD8GXQoITKjjqveoDJ9NSMqt871XO9VI5iJRtvMoe4Nj6kQufExQ3vIk8GzSW2ak/5WgI2PARqQpor4JL2WQbjtgqaInM3JLMacnTMjBPCgNNF6v+9uBNq+l19wBuqNNFfDnZGmzj2XiJ95YgY3bkrHfirghC6bODjqRz01YHqzon9tc9DsiG8OZYaawJcmCApUlMTYDyb0Kbg7d8ccA90gsG7u6m3phCjqrcviZifWT+5iel1aBWrOi+COCjigZzFwLesjTzgbV1MN/A91YxpbeOlNj34JWAWMx4pp11EC6vRstcvb5a4FlEh82gD+qdPqe9Q/rXK8s09s7mgg25rPh4Ae/rSjZ4Kcrvwf738TF/HncF6xBmkqRD1R9dfmf8mdk1Tcs4g3u6kTe9Uyxeft0+98dObV6CxXvPVHrDS7pL6C8Tak/foKWjUs8Czuf64gyZNqd18K0sfRP9YSeAep/M6BkqzOto4wQ7aE1izkOs9zppVPKQvfihgreAykKCX7V21Q9+s8/YssJNK8Hvdf1ncaiCnc7PD9FS0NrVDPtmuf0o/XY6W/q0TU2xtfG8B1zkg2jpmFLcsmCSmfM7C6OVlGlb9/kpbOcaaIMw/ZhaMjwzWhZkXkLII1uRkZnEvMZOfgAv+qfME6KJDOnzcS3gezsgR0MNO8jEjXM81xCIfeH9C9cID/Sgd9sINC/LWiC3FK/aYYzG1VadpDPoJuLLImDk31g5m63uFQFcH+Ecg36JuupS0OXKGzjxHpOyBh/R2XDk2ImweDgv2Sq1E1kUb4v5dawBN0FG/eFZh+lDBysM9cGqK77EgmDteToV+U2JkphYaQLgEHfnDrWIWgzI1KZHpVYy18rgLDLwzczPHEHfvdwX6o0Ybo6defW2fZKe+ITZj2qZXeMaN8dwqLT0DvzzUne8Bxs+ZK7eJj4+gRd6wXV+Nj3Gc188kjH7kohN2XvvAd+6xHUPuKlanoLiDJvlvBuifZ9rbaVdcE1ovquM6Bu3LHMKIAzqkR6AiVFFzFRwt2677yTra4/5gbyRf4jvpJu+46DET9iF1/ptD3WJHdXZX9d43xM693K4d3o2vXHlMbRVx0KJih4Js4NScASY08qhvm7w2pz0qlJnJ55NPaeZSWbPpIUsoJ+iE0DMReGt69nnvgQ7iLdxTe3QK4JhkL3f4GofoxbFNbRzcg52WPukLO4oYj7aErc38tDvgFYf3B2taxsD3VlzAux04cPTYMnmY5A0ptGxOgewSRjAV6sqF+jdHLN9c4z4K0+GvPurNzNkiln+F/72koG2rQFuFqbOAXFnS1DX1ODLHQFNwIQPsShQDXtj7RKxH4vteyfeGH20hHuPCudmYX1aQKzrIn2bOZUys9Ss2mBzSB7zfC+s6RwBXIMNvX+nhJECbMeNBt3kCf8CVTr1swJCDpKiQHGo7uiVC7nEePwutYh5uvglTlzhgdo2+rkJ8uaJF91MwX/7wkDZhBtyvsPVUd5Lwzr4Cl5jIgPfVMNp4h+6471ZmLoXpo6ssDXGudpjJOAXGUIv6ATn0kvbqh+/wXlHV1DuFMLuZyvkDhzXy4jbYeRh/5CMPbjb9r8+XIdN3jXPmN21qNA9H7BTwwynAce3IAft4S5D/oGbWCI1WRW/84bBVuhh47zwaz8QT5Azz++Jd8zqHTeFeEsBdt3Zjl7rjDwm/bJKTLmYYBJzZ9yQP7DK74jpMzdkUkxfjI0MstY0DUgp/b1VMrWKLWPHO1AVywRdY450mZTB9YvHyMJki5UZ3yHkh8J0r5O5LsSg37qJvvGg7dkY3Y9wH3XpLAr2PF7WPu/H8W/fjj1oydZQD5B/HpnA/8EyrR5x3v94vxq+SWXubusUL52mlG3OtoOZ6UAxQvOfh7/kUw4Dh+AbrvxOA88ZvhDprGi/Mzli0Bd7ZgW51ExFtZWC/pXkja7vJTa1jxnFWWemdnac8QfqlzY81rBllwc+bM6tQnUm+t7OcYFNnAN/HoWIMzFmSmfVVBupcUfkJ8T0RyhaIF3gHhSMpdsQg96V7eWIH+KHZN2uBK/TIAlx58Q10sJuo8q0VdrWHXTTXDJmZBwfQR+7J1MFw7qR2w4Cv2Ko3tYJqVVnrayaiS+JDrtT+VS58W7n4mdGNi3v7G7Dpu14+rGTH9dH+m4c4c9d3scah0MTPsgl0PP/XB8qaAlTdwIbos3C8S7Y0DoF/Tzu0Y12zqGCdUIidzJJ+uduvMkuf8a45wO/2Sx7pOGwI2UldD83r3GGWpgdyFz/pEh2yBc2l48UnwNvKBkkmxqO0N2duenr8+nka2EN2UVdlk/EOFsBRTQ+kBs1yPuUb/l9tPqXhpo2dtSNQ7LDlz3OmPbXoqoTniN66xkHjcCRj0yeY7TYFY7dZMHwQeuzN7AW5a1aF/TGnNIq4He1iK3pitnrUufEpsu4n3rDSKYxn+CdD/Fgh0M6996ox62sHgYY0fo4TYNU0FAOxpa0DTHVcWui7yNZ20es8zfEncJepCqTRpz/w7TXkVV61EYdYbRVwZ+DF5J+fYrc6PqcfRZsOtM3rjH6ocuyA9tzA77+WHfAH4WFpq1CamUvuZqqXzSTaL8gS5Ne35/BcOwbraxq70swEf74vzH9fHRf0xsMU8jNz6fD1wLoJQPsRrNHfzPGTRgxyA3B1z5ad1zNgSWmr3gADrgpiPgt0VjkIleh3Flwm+wh4Vf2I+WYp+ZhxwFsz11vpi5v5EoDEzAzwck6jCw+8tzr88/1uYxqFZbA+i1z+xDu18F7j03BxIXdtj0vnEMHb3znrNoHca+ryzZyndaocWarhA3jPbPzgLnL4mE+6+cxCPZ8YcLzB+C7auA6mv1nPp/O7R4ETlmaOds5Xpd88qQ3qJIiuGALJzIgHfhkfbUhg/e1e081ch/s7WRRWlr0zfo7Kjx4Qjylj44WbOehC/QDPYmXewHceXz0+OBV6rxZ4Xoh1mkcB4PhP2gFH5cgHLBx5R86lY2ocmiVtm+sJbXqIuZlZ73a9oD3olhJbZkQeuVY+sHrIGYCdsZm/AziwgxX6OpMKSyThVtRWdNLMQbgBrzGzvlwOyJ+52Bd5YXBxJIzLOtecImYxPwbOFvHKshNmRaPheiLEKaZNARr1Lp3aiq3Hgn3UcSFf9diPlEr/hEiq2sapQecBZrXGo7pwzExanUIOQ6DZCFm6Ow1Aowi1I9v3R803E81JAbzKVqCJM7T5KVkxx2b/nY8TaOAzRWPMtusXx/45uooVw37BtvHrJwRiRJc+uwO2+zUjCXPmC6wnmfWNewr5XjlmnoXyT5RMpakJDptLEsoY9ClXnUdTWOPAmT/L0MyPlYNg/LW+dDWkkAkxYaAOzMzcE0pXPCAJ6F3GQdtwbjqRMC2zNSDXRNIOuJbv9ZD/u1pIUeckqBYdSruZE06eXINW7tdmlquX5LIDbvCqc9hJcw6rcZl2fJuy6SLRCLo8SkqX/6j+3VFUfsM/Wg7yif39bHTtwXgQD5yAhnmYGafAwzfCh+ew40X276CleJLmZIrZOuG8ee1VdnQgKxNf8G4w/OR3CphFLQu0CjdnZlah2Uz6xvT4lAdAD2zhVd1qUQt+wF0jWT8iIcw8M5uAzkgLwNdiMb+b93V38aRGL95LAHvbE4uswlb71P14mtnQcM8TteIVDaTpyexLrXecqtLMLCcUPVJXpTUnP7UDa6pbZ0VnT3gHyZitzDybgLkoPwlMgZu/mZnbL11ZD5tjbUtTUz1XvdKslU0dgMbX0RU4Ea84fuNONGPjtwlYD7wQuPJvvfwnGVQIfCCslmbPls0ls0BfhXihKJ5VEB0ZGs9k+VtfT3Md4AllbSPgfA2LIfaV8ZTNJqduCwfwyQLSW9BehXxB2W8fovV+jV3+Vi3/9i9ErhE8T2L6pVUXXY4uT47PdZQw4Gzb9dtrH+C41FfgTJ+g7wjweMg/Enigf4+txtRWSjKw56mtnwRFDC/pVdDOwm3xjJ9TghfsJOZMAuIN8NZLHeZAHj7/d542SBfijr/mcdw8CnhYtqCrBk1l+2Fm9KzEdm3q4B6QgxxzzoY7fa3hz+vc1Fo/Zmp6RtuGAJ9xjhY/wnr9yTRozV6PZnKYmTNeo48Vt8aD7OqXv2h4tLwL72f660Pm2wL0zZvwQfd2t9+ztEJz0F0KNJWJw/3zZPppTV0g8I4M1i11Hg8ppgRydXd0JAPudM70ZabLZpWx8Rsw+FWXUkA8W6ct6ISwBh3uXfD5dk1gvVQ7tI1/vei9xXhD8J3vViEJqT+DzgRtii626WXJqJm7o27clrei6+wjrJeKfvzOT+TGh6PVf/1fyU52Zac9SjcJQ6AYWgx67rKKXcQExKF09hYTZAE+c4Mc/UaBF1MNOtfdfHIGcQb52+SPwnAeF3DRRbu6V0MMmJ6hZltw/To3fxCNt5A7NtxHoPvVkQXqnnZ4gLhCdRCdM2t6YHscss5bkR0gl4WOIkTAGXifOnMEHG5mQl9wIB3VmjOxBoGmfOKFpKWNV8p94fy0qZwJZ93DIkxT7qKjAn0lHXSlwAV4ZwGn2DRKNz2sVSe1SJEg8sgcblML/UDOuHHI/TzA0cmch9mgLVtiPMoY6JZAtcj8tpen0xHe4RFy38IDZPQNcFE0Fa5OTK4sXHwHzc5LLonYycasU26DuuOyoRR0E4tuWBAL9NlDambTHr67NcK33PwAZ8izJdqdxF+vdBwP6pn4qoNcZfy9P2MHZJrx6elXd+AyadzNTiJugLnzRXbjk/b+PRGjI3j0lvJmBM4A9xAFlfgytT9vBQNO5cpnraMjYE9R9X8zMuyjHVmqZaYmMKIO35J+7KXlwfdOLZrLALRUl3aNUyI2m35pbnNbhNFblq3N2d3b0WFmzvt8ynl3GuS3AG1xdAmPaWwDNpi50S8N+1N0kpZhYzOXnAGDbODld9GmwNLfQW/cgBPbPwztzay9DTHzuSi/YeBXCd+kxps8yS+usqaUUuD2Dv4RAblTF+8J8M3KsZ91t37VVX4mPrKMzq135KcK4M908ZD+yE67piAWR+lQ30HPufJsfH+bH/K7zlJX8uaBs/c7cGWtOtXW57UALS95C3ku3JsegEDkH7NA6sVFf0rhrQ5ufAcNgUFfmLmQ34W9t02/HunwJnbwG2DfI11kwbe3xcwngnz5oBqfS2u8x+J3jnRbhZtbIuwn7/A1Fsgtww0CDfXJ0d9sOAZ8KMHmHAnWPO9uDxnKs9EWVf9wMuMkGXQP9Zx45ddeYW88uCUuw6iUAYZ1tvfEELvVAFrGnxcFDLSwHk8WfjyxHQ2Z5s7/7NsUkHOygkU+9smV7uQW/tkXvcEAIion+gRN3NThJjA+xMafKNbY+F2aMyqkdr9eFHEWrJcqsEBjjBIPmwE49xa3ihBXo8z66136Yc9pJiExHmuxEF4B39biwr4qv9EZkj94KR4x0sVxIffalddyB3mCIqfSMuPhRlYCOOHiu3G4wfV5ckpfszq8uJUo7rgv7pWrX89l/Nd+zxYwJRJ4iKbW/CDn9Y9q8Yow+0BtKSohAccwkFaVpUsE6wDPhdBp5eD21K2LSkSrGFACeGUcM9uudhrFwfjbW2i8Mv/DQxcH/iz6lXe0P+Be+L7Ovx7EmRfQ8J+q5V0SfD1x/vHIcmmV55uXuewpWbQAhn6C3j3XYk3MXFVO9w5ZYO2KzvTYj0mO7XKHV8zdv7ioVw34O/N9iwcX0CAfrgKOGbfdTHz7ATozLJeG8p2kWd6Umc1Az+kidZvnqW9katWu6CBX0gZyLVslAu6hVT+wfr7j4QP4/bSpxZ8PDD24EeRdmdbByJgLMaC7JRGWVwdIV/68Ak1xVsGMOIs6yDsgcxDFNn/DThTBez+Wlr1UvT4K/TvjF9ZmtGMOcH/AcsgWW8XRa38+rvMIeK82XmYh4BXgYiSwxUHfFfNhQT+n3j5koqHExWNBsZ85E8RNBJxRxgrizswcLsXvnJ+e7nhKueFk8lijCPRf8awc/arT22Vc7iA2j5TdLKXTlQiACy34J3XNmTZ6sn4Pgmc1E6TNfJ9bYear5BGsE5DtWq4g7+Es36DMzP6xJkaCvVtmpi6Smz3zVnTz64wjoJ3kqQN5wPavlQXvmqPv1OXfjIKO6CIU+9GthNhV4eV+ALw7Po2fOOTmznh5cXgP5BILfFFivqucnGH9XRI/vRLTB9opuxzU66yNqTbCpp/8pD+u0niILupbbkHzgmpjwBekvXHUTrc4l4hazYT9ieDn2jd+WUdXu6DNr6nwZ+50d+CFsA55LHsvqoz/7Xl64/1fnd7mJOZtzRpPwNqLhwKu2Xzj7ZQmu81vPRRjljnzueHW5C2yOYB6kj3oNq3PMljfKncD72USwHeo6QOqfTlWpkYvm77LNvLgm756Rlo2KM56eSPdGBRLRE9UFtVSXFV/8bDDC+DgbwpyesLWWAZeD3oiLwAziAZeN8D3HTCBmNwXtnyL3W7mbrQBPXiLOyJFSyRb9KumfYSc8FurB/eTAlbSqp9zMvDXvlrDnekAuv/z4BI/YYTEaLNArg4JIkmC9A0H6+zUd3cBOCJ2CJfi5sZO4QITn065TAXVr7kwz9Kfz4TuH1mgHTMLrnAaAhp0yCybA8f348AeWT9tM1ivqcVHUHgWrEeXDR9evZDvCvI9deXlsESwru1NJr7mMhyvJUJtzbychn/1bCl2CvuELve6Rz0JIz9G5EycKSuekygtM/NY5iemv2NhzbybrqDvv08ME+k0EXDBWQkdlgNCRaci4BoP46MN2izIrIYpjZosmF7fK+EDv8RMH7COvXRQvdG60lpjYuNdpSORCfvGqF7B07jFIt8SJB2yQ32V64gM8XJqI1P3eWYhc3F/czhgJ2heZPq+Sn/lKPfFRaet2ddQtpriwMsE+jJ1b/dq1zicFguH9xYPsjdnktTWpnfzARxiwoO6kKFxYx/uVBPTx4rLTmKiG5nweJVaWBTDx1zyL8CX9xf2AufSRO0aJtsoZGb+hsYN6GrIY+ulWLRbuxj4bONV/Qr062T65vUpH4GPf6yqPAUMxt80jBfGmVNtb65kq6UM8CHx13eSgz7yxxdGXdVwMWvwUAXjJdmuWUWNN3N9jxczY13+zrHFC7NPgS7LQYex9WUBTg0sx8OJRo8EFKDwyXfKjFeE2mCgI8zsdTjTG+g2l/rrF+81NXCr2nj8Ze+AecTKAu4cndT4Qv324nEgsdKfx9L4ZQ+I1y4yVerX2h0feKeno+M91fndrvXGqft1ZHhpZuZ3tOoz5R+Aa+pV94V5ADg4aHzqGtBEcxhDPjxp7mZUItBbC/GnO2iyGQ9NCNy8zzgi0gWdkDMrgXcIuuLCHdKQRRlPuZ/YHXcnZg8ZJ2/AyA8Z/Zvz2KV56hUcdaATgF9eVrztHN7jB+jjFeUNYMPlCZxuhQX+TJn/5K7Of2dvi9lmjr099ZYncrSpe09T0MaCzdaJNw1w46YKv54ngV61qWce2EFtvYPWACmtdSEgrwKHEBQREPveUvT+E/jTVDCyiX0PtEMTkyEqFcUcctNNsq9Vaeb68BH0/eatHD6sGnI/1gzWox2wTr849ig02ilH3lMqtzXkv5iNx0J4ZdHPWWVv5oM73inVE0j6R8kKeMbop4BcRYScuL2/ws+VOOdn01sF+fIug3n57atepAbeKLn9d758YX5jZmQ+8fPmlJbCgvIU9JMn8/heBcqtLcuG9w75kLRlVy8M6VG6AEW0WHEtjT9KAPyt+fWEtPGxsL5miN8S8GYCvmj22V5zwP3jAtp+4WbORA5pyDAvYAnvTsoVTmjUV3oMs9y3T7Qx/AC4qn4TLWCN/bWY81+81CsqbDPz25yj3Ur6YfxEKN+uE2LyFOTF114KcPUMvtGFQi5KfIi3kDRsMT3OCtZdATgxHohmlgRddeoiyF/67eDKrN5Jx9SHc453v16YAy7++W0Uq2T34WLgpXWoyInxFx5aNGQW8CJfPqeN2e+qu+gut+ubPE9ZBfEP68Y7oUjWuQqTUH6rXm/kstlVlnxmC+SpXAMP9K20J67K63vGorw2Z3KL8VIm6OR7rxoYu9L4cBL4lulxglz4KbbvV+bfZm5hjzB+5aYHzdTfwDcWnQrTFncn3/4GrWpjpPfUQYdCR7fUWWfpv33SqPIBPDsF+gJ5GPTDax9AUnU9WPggfAzrq8EU1c+KTXspSFq1zRXiGe45agAf3+rn5KZL7DKqXBwiU+fowzqB3LoZC2HbkG9MPcYZeEJv5gxVzPNEgF/fC9WsBq7L7TIgoNjYg1P0TXwfdA3+iam6GE8M1uttajWmZuQTctwDtMUM+LSTfVTw/n2hFOkTMFngVG9xB9yo37vCn76LQf5UDnpxm6f0iVc48wV3D6t0gKst+EzNGcJzOpjeOjNPoDb+1UJ9wnppzHonw3iLqbww691SFrHqIeJ122RMN3dpvT+LnljESSFP4N9v8KoVqUF/n3J8z5bfnp3/6vDkClPZZWKGfMZnFVhPyL1jzcYsY7ONHetfnPX+ipkaJveXL5ZZuHeYxXU5NBj0GTH7Lwln/zNrzBvYc/1TaOB3TnQvLC8pff+acR4xQOi6t80ZYqsAD4vODqU5EwJdErfck4ABzEWwDv3laKGG2Rw+QZTAmnjiDgSdJjeh+d9MrhJ0HLE878SITgTyD5bvSn/9rZz0SkO0rc2cvV6brqkfttu7pLenrNcdFuj71K2ecZ/eY664EtM+7ZtMwven7ijhG3Pzvnn70rA3R/n6lvYT8GW0SWhnHYFtmR0wGpBNxiwzr/AH4ubzZPh6HsE7VpgywuO86VgrQaPD++rQCt7ns3Yin4noILoxLncEUG3vJlQlr3222pxc9maebHzPfDtK82KmTH7WHdIyRHvgsE7amlkxPOYCzcDPTD+PL3PcV3bh1c/1SoDuYGL9WbrIAn3+ZP6ccb97Eio/jb/KK1eac13AXuM3STDcf/271m3QQOQMOimXOn0meXQ4mbpsl4OixTrJ+ZuZZ5m50Tdo1jjle08K9Jm6cks4tkA3zABNb5An9qBWXvsbB9oBD+3WOfndDwRN024uWTCfITeZPlPgX6BNhXpIxDnoki2xYze1YrfyJS0sPRhzvbhrGoiJZ8zWS8zUjwiRxUO4PtKzRPK1D5BQN+LAVYqa6r5mCmOKn0o8VhW8C4i5CGLns0T8IEDz8GEzlQHEiYNK4CjHmk1LDbhTBQ/jq2t86S4Hl4FuZqu6Iz8le7cO1v7PPwo4zarstX1cmFXZqV0i9aM0H0objdLmhzLUB8J8O0NYFh25gI7OlLtBFax/+MYPU+uVhJoSjnbAZSF313Zs5lFo5Z1aHpM+/aslrrTquYuXqsM7NjSghbGFfeKQYFwpNh1j4w+3q+3ivAY8Ws0Y1oYIpfGVy+KQx6dh03Jnva15bLzqJ2lHWxLqsIafPQFFTZj34r1D3Ppe2usfGm7EqbPPwDzlacBv/+o3N1m2oJzl6pJ26+0p5PbB8W5xf5srur9DDhupgKtbU5MZX3fE89iKFuN1Boz7qsSXXfp/tVgH7ivgXfrOgX9nO73Eu/iKf+evcJ1ZY1C5PC4pfjP+DdLMPAeOnS1NkUGOTMK9DZypkyEzPghn4KWb2AIe6eI8g1yWOjZmLXudBTjZTuVxTiRwhFS6KgJu9w28tUuCea4FWSmUWqxXJGWa0BwlQuAArpVTe9PL8LIcLD3+N+fC9NXfTy0xdb5pHUaQ43lMc/46CwDcUOfa/+cdUQYrx/RXQqxFGWjDzL08ed6t4J0fgPthDhodeMgP37FrlfvAR/eg9b2V6lOP9CNJct3A/QAflZGZ70VgmXD/5T074aJvboyRLaYkK7vmu9zJG3wHnQWyN7qd+xowttml9i+PvaTn9xX2UWtqgk9cO3WbXo2uiLUyPcI92a792PYd3DUD6GeHBetXr3QU002E+5kW3Wj6N7yjvfEz4FECOPJx0TfTvUVNHYjQXoLwvh70vjQdqsPmItpNDIL8XlIexmHUx3bTlD4eaL4hMY38xL89gEu8tMOvb73py8HCNnO4A04xw936WQt0Az4M18ZmZhEHbbqCnO8qTnjlYvidk0yEfjNzjonAWbooQhxZ0EWTo6lxyY3nD3nCtV7rK8587gM2ICVud0WjSyLGVmiZUmt+S/MRJ+hrhS3kmrMcpbVVLpsryVFYD76lBuZWph6PR16moyjT6Aicw2Y+yUU3NwreaUz/YqM1M+QrkTqA4zsG6xm4WV+FDeig2z3x32eDzdJSjPIRqYWvOO2uR4tjajWQv4D/B7I7QQwb7XdwrFUxAPvVDWIQozyH9dSNr9hYFOfHLEytgtl7EdjRcQG9CrwNNL8HOTMCbTNUZ4jlvljhYXzDz7Xpc95RG1+PDqxFW3lxv3IxjQKmJbxXvmFmJtqgRuMVUlj4FRtb01/36xPno1gM8ROwu5PAo9Pe+45p7dDn2slazrKWRLKLrxlrJO74E/vjXYm9VboyIcBTs4U9skV/V/76ybk07/FQimiKO++FG03lorLi0ZVbcgW8B/LY5MSdnVWd/ahaf2FBA+ttKomlMozGgwTMAe60CCQjDDKMOx3kRvsIOWkn8w0oqa87dhrA4825yKMd8NmX1/0dcu+uCnSX8WjFl713Eg2wtrUEXg1aQ91NbzpnHmDBpjw45EfukEuACce9vQINP2EBIdxPn7Fv+8wFDGHNxdRMJzmwbNAwB2t+aT16ovgoUdRxn+jSH4/mPD9egJ8y0leQyyG2RR3YtPZnVDEl6KJK0Gc+aA3E2JjXxi8h4CZPTgq05CmUP7JTAcQ2Nb4P0v/LlSjlaItRs8W/flH2A/d8Xw0fjjT+7D7XtWB3WAM/IifPGEUp9/2Ftk2fumoADmDqLBfgNTMb9l5hRZhQ9KaWeIG1v6S9kpmPX/u9bmHxixSqJZadwHvaZ1YzHGwUHuz0Udim1qrxaUto5jRhzaIkpoCFPDVeC2+JuHiHRXXYeizG1+QUIOvkFxY88w/EXBF347byx9f3Aj0YPZNgjAGPLNCIOfb1AP9cjQ8PrITluPgu72Retqbe3cz6gBxPMYbceVCwFirQ46A2zZnYZ5K9g2aLV8elOQJWp4pviNL45w/nh9FOfIQry7NBB0Kek278fIfrrgfezTQOZVssX6skW0cUflfpv68k00/gdi4speXoXO7A23qpUVEIYvSMmWlhA7frgKF5We+9ziv3JYs2ePl4sm4+ZObcoue2qS1XVD446Os4iGjdj3cu3i1YG2b/rIsB/6hNIA/uXSpQCBzXoa1+8gDNmd3Y9cAcxTSsP9vLXPSaW7Et2s1PKnBEAuDEwviqY52hj7vyG08O8sA7tLC8kcCNA740Zt4jSw0eO7xNdp2d5M0b4KKHndVd7niQdrI5uAjeP95mCy6IPb74hob8+TCYrow334JWwD2NB4tNg85l8HwFBaTscQ/v5I3tIoPdwKn0Jwlqh2l8NL2B1JJFtiMpZ+MnRc2dAH5LW8s65GVsPV7neqav3Koc8h1zfYb8vhCNWe2rCLf+8+SvVhmXVpojGw8qKm2yOvWX1dFRAej+FRZeV/Uol5CfJZvPZbv3jg5/+61VbU0NaLQCPfK6Vn4SU17ShjBL5UJAHm5TlwZoioU8Z645x0GdgDwIesllVnTJIK9ADMym5iem+5UI+RZ46Aj81K1RRE4cnoXjsXQIFsD56hC/znyvBOkFW00jAz4bb3beqZ+4R988RIk09YwQ53iQucqZLQdTJ25wD/CZ2ZeCzQj4MOS+qUjM+TREbL37ckv0NdP2w62s4i7Q5qX1AhZGaeyAbqCgp/vVo4Q8Jn2bpMJrAP+YbAk86biXbbeQngTAyzwlarui7I5bBmt3bgrIIeZMoGhVWlqcgJhlZhZhybGpiX+dcZS/ZyFiupbCpsweWdaZcxc+VbsPWEvTUKJNnDkT5FMJunKKS8gF6rluiS93GYoEF15LOszMARLmGxG7vFdBvDrRBnAkStJu/Nszr2z0WYMWoRBvDDiCmVstNeS7BfBpAb6ZvS8JIi4LOzdz1iJ10WK8h085fwLf+lFsPQoeDVx0gIKgnReVxfnlbvz5gVPuDsvL6356O4EezyzPzODxxa55kla+UQejhL0/T/2/3lnQmpmZtQoxPhc20UrDOhO1Bzl8LwP0kwnTF1asypa5Inv3VD+fQV+Fpx1qub9+nflqKfZ2mq3fiP66K0t+A4a5ykKYhTiVugZeO2VJriKyfCyn/vbM2JhKsXaFmfEwRJnZW1ADqMDgclcuibE7uqmYEoJ8+HkPMPKvV/pWhcQuBIa10TRHZ22rVu1qRN5AnxR1gHfAh5ck/3IgJ9ETcKPaHUEf21TCMws+/lTDCN+/s6T+AL6lvtnAQF9wiBdAAFhHpw6//PSeseNZrEMQi16sFkh/Wi3Z08xVmM9Antqjpd3felFLl6rzWhXMt2qngirUK1j7q4P15YGmv1ddBNyVEBmkz+NSOHhRdubyT9zy/+q+bhaGnJR1wO38sSj6rwWHl0dqzW4BYFN0kR0HsG7Rh0v8L+NF1ypamNkhVpnXngzVvUZoqnM5SeO93dcLaK5dyviDDrrIgLuXnf3a0ysS0wcXRg5wIRu+8RvnujN9eqzHCYbnPcGa/jc7U2XKwYes00thNRfjGRP744hFBDppPRPLt2t/LSXoxdgahypYS+74rvGdeGkH0UaGMx3SHLSFy5/Kn+61hjXWoj6lcN1dFBX2h1UZL5oebU2Pb6r1Cgfevcq1V3SyhHc6Mae+StCfoAkvJZKiGqTF/Id9cOWLY+fM0lFlKVnrTZy26MpFek38aKcGmWZs2ijL9qXeAIf5eoqdcmrgrUcX9OYgO9B9Gjgx0E+1EgG8WV/dIK5XTMB7HoBd8LGpg/lVB3upaecBd7WSnW5UACz1eVtVGkvjqEWymyU5nrDNozJE5ywfi1jL6WihTean7qn7Wkm+2demZzb87fGxKuMdDDwftKZXmV4u8fdcxpO/5dpfnVoJ+oRsmZgu8GeQ87SXOu8z7o3P/7yLkfFCJUW1M/tUYyNNn2//dYW/N9f5h33qpVdzHJ8QOWDjIceAYfV6Zlb34r0Td9iV2CpUVCW0f7+ehBozFqXYbUBDQN6laq865GfuaGaxPRjw6NqxO8ovD9XzQyW08d+7ifPaSp9Tx/LoWA4c/+pDgb7/53y5TEGJHpYmTth0EfkmyHJ0pcKbCo7vmS9FDdfLHNCCfAP4LG+A/yvj11G3aqx08133xlNWhydkfFY4yrL1vewiTgUZcL63Kd28ZsTbEjU37Ix7xeRnslPjKYx+WD/mwPOv1bIJS66M5+qe7dgKtOoKa8IK3mQS7Wdiw3exJtPLZpk9JNk1Rd1J4xGFMSJTmZtZH3+1IhMV8/XXV6TlKeiRRQVGJ0lXZevE+KfB88WAR2PWrQOKZMuYHUFc3k5dcce08KgzrmpT68gmwIP5jbIvwFAPA+cT9LeW33/1PDpSoLMSwLFofAWswCfQjJAPfzDkvdraO8CjhySXvD6vE3l+v1a7L1sKCdyjmBOqE7FduyfQ64y92zVNHdANfhaAJj6vwwzuQej6lb+Aq3/c5fO3vnJRYfykPt4CF70ncG24f79apFdk03cSNFnlX55E1yuFCu9EyaHK3q2MfphZE8ZX5FBu3z0Of5f+etrzGPR9kXXpS8PuRJ6aGbNeBjqJQbZnDkoqYBDcedgQK11hd0+41qc5D4IvYnL28aRVc+rWXrLDPrXWfm1z0ADwTNp3UrHukx3hByfyhZ8+QKu+vLhXjCsz4/PBLGtFEJtrx1+yXfQJ2scB7Zxn+sPi8F4Fs61S8yfkCMBkHBXt12/dJbYAczs+VqgJM+O79ev99087yrDZZ4L8//5hHkUnxi8imJIq/7qmbdPxJYXvwi2jC4glJ+BgUvSqKXv+y98hFx8x8Ea2YOBd6cr4F1e+PCpbHytgWJlWZbpsHoALXZZN0Ss2KoZmOqCytjp499G3QmpSWp5NryPoaxpTyEn9lwsa8JGFKpegZxnESBLur3LoHvBd3UrHj0KMeeagUvXSySzUpP3amCB+C+CTf+/QzGFdNqDhyCCfk1v3tVdawN19JBnkXFibXKB4RXIEiltvIYdHjBM3daVdO/qR5XiM4f8x4I5UsBXA61my8S0BvIxd+V2K8fJay8B9ktoHLNk1LQ3lvc43EMt8qBw+nAI5SsafhEeu6NdGs1hkFwXAD5dYkCvxH6uq+/Jqe3OjFl9lmvjKlr7pH6n0xaLd+wP+zut77dKu0SeqLdBAn8avg4ppkr4nhQ/40OL5YJMENFQDung257MVQnMFXCOlm4wsgNYBOoAmSarOkzFEUZU3moUfq7K/PbDQOdPjqxcmVf10BT7mnmD9VQHKFZu26fnmVq36VqEsS5fsmDn3tdEto3IPutHj/nirffunhu9f5ThkEENsMP2+tytwvH+eyrDGKd9Eavg7/7IT4PkZA23v8qWgZAZcvia58TlZW2KH4R71KtuuAYUZ/PmXOR9cfuse/dQmvleq7Ab8aY5p4AFPmg7YJfuy/YD1OgN3VSvck9f+vNkHuJ2oihm8b8qJV5lagwHUAmhhIiQ3Zxtx97CBmwK2fNllDwzdxWWh1b4YtJMhiEHn4aQa3SiT4dF4swe1BxzBL3fy29Rxvs5ha1/ibIh+yqC51DbkhhD7GG2+TzvyZuapwPddJTl51KDpgYeea+ARFPLuYSFznON9ReU3YGcIuOycgBZWC5rZc+pl8L5wh2vTu/3iUYaDUK2fpNO3o8n/AQFMUB7p0ydgBS/9+h7nap8I32K8cYk7lmxQI+8ekB/slvb2/zH1dV2q4s7XX4kX6XW8PAgBUWIT8gK5A8JqhIC02op8+qfS8/P8n4uZWTNzusVQ2bV3UlXbrSYtJVJLGoWbo+V91AO5YGd50dH7SNn9/b4WHC1xvRKTG17GUyt1EHw3+H199218p6hLNmLw7qBXNMiLJ58kkqG+NCFHyvh9jdtSUn8Ha+sSZDzHBke5sigHkpXMnjKLv+9hzzQmB6VLeA+4qNnsyej3zn2sh3vFB4grU6M2+RZ83z2jvkXhMxtLR6WzrQ7WDGxIwjMi+xQRXAJIlK76zqOkzIuuSBGIJM7eGvaHxpAMw9nUoGRVAZhgd7gOsTi+7j4Hzokh15ChAT2p81KgZz10jjK1Kfn2DO9Z89VfWmEvCiHWBCVgJNct6EN4X8+adl7N5HuGycqCDv9vRtCrjvB3ExOIQ/92XPUKnxebuv1K3IBT7SFPDVZ93qZVdD9kLv6W+dYjsH/UiOfWnGNaT4+h0PR+0ZKWjvHCrejwvgvYiEKu6ZjYLNQH4jQO6MQO+E8s++5e2tzUEqzKApwY0aHpyabS+Kwie1NNfx3gaLyxEkeheZaRZ5f9XwcwB/OQu8rMKrT+/H72+y77BBLS9IW2oCFkgExP8KrWLiNxEpnnAl33or3amfNAc3eZa/5Tc+5VILpN/yhw9JLvtqAB1Qv0ag7vIGqRf5VhZwNPgRyH3mfmc+N4n7RPPGqTW2366zShMkxS0NjfdZ+86O4eHF43J4d1LMckzdbOKm3/3NiKmjq0ZkKbTMis7b+slvvfqfbPMia90PP9d67q8H/zYDma13SwvwVNQBd0Z4jhKzz3pkJJQBE/58wr22jzhGc51+O2gzXz2SR/CCMXAgqwtEMbtOomt+wU9p2PBay8nrXoeZmxBJ4Iv8+IQJJnTjqQh6B8FGJv4WlOD/accxv2gcA/1O3ibPSoEt2H2Zv1kD3xIKNyDTec+kyENxtywtiO5Pd70NDU6eiOON0KMYQrR721ublPXIwvl5pMx6364XH6YAHsaS5ZG39Z0sa2meFnZrPXCHgFMzP/AYstjehACHxuClpmykVjUYvkxLI3wJ27fOgelaMfKfu3l/PS2rKcpR4tZAe5zHhBWkKQKLcvr0qTqqagXRCSpjOL8eS7ipsr6GbYagS0udSZZTu1nuH9Mvvo8G8+mHv8RJp7BcBCjwr1z2MXB2SAdxVVIXDSkeSA87cD7GEabT9Sw2ujmaRDkuI+tBpt6jj8b+MVBdiBWS9HFSPNzGz8193CQeNgy9soV51NLZWM4Fn5vzO9hYz81SB/zWNcHmwZtaD9jd+jRHjPI+mfYlCL7vAs170DeaTLETYzA7t6auyK6g816m/jVw9c5QPW+tWE3rEBTABcuLdarzkrlzePOvHLovrMoeOcE/3X5tHdA368x6OmpucScB3wTZb51EWN6a237knm+nsh+FlNmuLRWnLdYa6xOLHGPjjIAl0Dmq1z5Jp8cPtdV3m/VdOXJxhgRtS5uPgCvO/ydvJdTP9aaYRnUxsMufokJnLHDvEa0xu1KuD7clF6XvPw1zd7L13IAxP5aWLfwcHfBfMZ9i1Kqmn/jsMD7HnTH1fg0PMZ8LxGJ5NCGPjEHzvTfifd+U61v/AQlO6kg4ZZdsXUXIVJaXq4sglTGZt5+uTK3T0ETVKVgxfU1uYlV//eFs2//so68F9HxzY9eyY2QCt3wymeX+X4xyNiu3Bzzjr8V2udRraZHWzuIM9sd7MxMh4uhELs3QTtvuH9SRp6fbn6xzxSXcN9h1nLWy87GSMl2W13p0hryWBPs8VSAUHpqO0KMJQFaIUY3cnd3ePm7LHXHvAji5yBx1jME7vbK+Ozb+ZUq5hIYiUP6dyDkmEE+y4TbPuOwyNxTG+78XXTwKGwW4O2Bk7J017v6jh1IIc+gB9uTqAvyH9zt4qGorjpUVeZvM/xixvuqLEje7UHjP+Q1s1tenyuWFIRwJU3Z6sYMnx9oWy+Vo6NKhvPoH0gJrucMn2RgiCuIafb6JNPpg5t/wJtEKQ9B9mJBu5YL9hJCeiHog0tD/LnGfYk8IT9hgPenUL1jsO0duYlYyjKBbxzZ7nDXmWV6xdlYTxw5JzB/gHmLFP4HBXoW25m5g7JJef4JnR3A5z/lMzLjEdyupKJUvXRRDorVwmxlCSY+28eZW5vz3T8Y/psNiUzfZKllaLBA24dtoInOUgOQETAuc7MogjqsNlU5y2sZGcr0CXpbvtDLG/mKw9UJO3a9jcnM6vI1PcOKmyD4f29voHTetzglDB1p2yDwzlNo8WvGeiycdnlr3vGV+3BXqPKzNUct68mgPwbEDvt07UVSDBX7lW0X4+r6kqHbJowCSvBb6aWD7vvemyI2/9xYuATgLXwnZhnejF/YO++0hj4Ti81cFnTh4OATwPHwQ7E/pTu7p8N6hzjS6omiSH3m71u/KR+5GCf6ykZ2e4Oe5681/BUIcComOfl0IV4JSEwjs8cqUzEyS0VeDiF3glwI8FMm1nYVxY1VmV6xId7ctr9eVRjRxmobLyqD3y+eaDb3VSTD278HTjn+XB7nwNYddA8ID5GyGniYGadicw+iezJz1v4zuWjXhsPeMfQ9knB7a+N1BKy8ZxVTndTQWbBK91DnFQYeBFDPs77ZAfKfqDAS828i1Psv+/1PhQn91KThURmxmMHfB/Pp3C7/88v9q8FGugKOedUjckp7aWZ3QqxtKDakqc89IDhkSIf040UmElTcxyCth/4SfQdaVbFgJ+8a+cMrlSNUKSxPMAFBeskX2b2sojJrAZm/BM+63H+yM/3TK6wx5nHUht/qBVY0NgZjxiprO13bam9OecxHjOcq43siYZ86eYxf9/D7lW4fdFoA7qAo4rxuFxLD/TGnaGvpxy2L2lnGxmoPqf45+gmOWDDtzxvPWb6mYq/oK+9nzz6cvHu/n10blYea0x7yE2WOTsp14yi93kvVSE6QQ53OOSa9nx3APd/FDUzYZeHYst8dOcUfvdVne9d6pRX6bCN2N1fwOciZpmeJ+Naj5eSEZuNc1bHeG4C/FM7v76sXpu/Y+POjM8jjkE4jftrCW//sPK5NfXiMTpUluVyhi4HK3w2HPnwjkTGJW57/9QOHYO/qlrLWxWZuWcXMw9xyZy7qa3r3j0MdYHed1IaMPSTMAQ5GLTIRDIVh6ZON4N8dE/FDIRZW4AzLxHhghW+W8G+BV3XNcx71o4+MhtBTkjmbDX3HDKG/HLkk2+D+rywSHMBe/d/nyUPlvrIaSJgvVMM+cTkIuDmHawIcPNtLyGvYt04VQTcOgDWOHG3pn8dc4beOIk8xbygUbaoiO+ZmGfQb0U9wdoJO0ohL7Mwee/ljfGkZLYu8nx7r4W88Pw+NkILMSUT59puXP+hHB7mDmGNqR9FCsG7DCH/9s244Frwn3acj1iQVys8c/cpa23OFIwn0zw0E3/PZnmpgphZ01FbcAG858bR4LQF+RZMBf/8EwNz/yyjDN4NF+hbOfiDMhJLyDt50Jn5f5kMl5eM0EsIxEmBsXI05qP+9Y7+VxOoh5eMM7fKt7gadEDDL8Ah2wOtDtioQC9fnmxA8anwIclyyB2ZkwnlVjFgPLrY5pyyAqzKqN/RwWgT715T9dNGg3s0LvNh8o4NYIT7Kx90yR17rm1NM5E8migZcVC6oPWAhyQnHKSPUxA+4N0+SopBo2Qec+yfkvuA275t6g0bZmepw++g+bw05GYu5ykbsgedsjceXtPzHTRY9gB9BxzN3pv+bTNLAWseNwHJaNTdqvHyW2twdC5X4zd0tLbmDr87rMzU2xpv7qPQX1caG2/MvZ07pp9vPp/iEHhDsn/fScG7P8rd1uhAllqbJZ/QDX7Pxwn5kPN1LGMMuQMVTOOE726Puuf/zSmcsheOyAMP22/gaB4GbkTsBBndkofLoviwVg7aYX15ey+a3txXs6LvlHMf8iA9rnjBwJ9Tnrq5RgF35g54UU4hc4DePzQjsYGLzClXEkf4s7TJTrqqx4I7TPzZHG3/A94z6JMFqwl9N/T9ve4XHIG+sP2UxqYu736EZOXhYj60NMnbotNZoX5SWDfY/1hGCWqRBj2NgQf7lQy/HpUA7BlUXI/4lGp1yl3tgh4HTEU/pdWRNty+e9svlbX0KbOneiR9ye4x7IcYdNW5ZsDfmRc0SB5Bbx4xJynogafxw4b4hm+n7uS1nfCgH22okjbkD9C9nvF3YNT0bydhPsy4Cfm79ntfv+7foA+emQWfY8kP4LhJo82c2mU2taUV6GnA8gstkhH0khABWijaP/Iw8zJbAqZ/XUHL/pxCWeFxCYHnJA0FXtdz3iAuGKjFNxetEDY9hhiLWUL+OVbMg9TCczmaOX/eVGm5JxTvSufrBbFFyh7pBj6vAahLAzUeIAazyYecNz+x4w3ws5U538B9aRHUvFjx7xzAB5zp6/G+Y0HXG21B4s5qbHlpY3TmtCvqlWTc6H1xT/CgOHDnA/D0WUwzwWP2kIW/KYWMTlzFsIaCTmgqC/06AValLiHthMp3Xi7F5dnAd8uMxzVVJ3g/Xi1A/3BVCFPPHumh1srUbUsy2msaWQuw/Fe+8l4OagM5G/YLGmF1LqB3iOgR8D/bOrFEQ55gddH987shRQI4llA2dOe2L+2aNf/NvOtBl43J+Wgpq+xTyN3M9Cj+4PXLrUPMRVjasPfOdB0s4MukKpQlen9mluccLf2dh1/rKcJuO2Tvz/qoR3ZVr9srXdMn7MdrOapLTb9eB2t5cNDMku0NrsG6s81x3V+JxoSL+7k2/fBM3li4rKABgOfgx2l3u1ZCO8AXH02RiJIt+vC6vfPXrc1B66GkL6fsenRARw22nb3uJfABjw12CTrIY1yhyuVrbidEOaT67UulX1dTn0Xhz1VUVabMgQjvZc5STsDRgTskp/zmZda/++VvJsI1tTtZDpnXnreRiNBargT4CoEcQqIDcDPI8efjyuHP3IvDqkspuNfG3dujuuKhlnls/GvChQbw+U4SCLENTlEHRCf915edhgr+PLHSYYlKV5fKlgPogW/qzETo5Iwd+4x77CnRnenk300voHRQV+o5pHqWEJ8BrN2zWptnyi6QW9MXcAgsrXIpXW5mNX++z2CB33kiBNLnYnMf9VThvUyj7icfEpsjjgFrP+qJF8CPQA90R4ilso3JpCwSssHLU8aWduAzF8DPmQcMG29AG21aMy82smlF3z6Ptw0Ry75F8pXaszxF3DlRhfmkElnIsBn+uNSSv3Vcx9efVXF1w8bLvS8d7PJMnu8vbPGV9fi7cRMC+SVoo+yVjTg2PSOg+Dvgbf9q9dVruwEdYOZzgR6FFQR8Sc/bb+5mDxx1Qz2YWu1uo6K7bAbNWo4fJSdWFbDHwW6cbLwbr6+8CsnltLszEpiZ1upcjolNActxr9942NMCF9Kxp/L1x6HWsopg8DjguGKkT6euK/O7zcXyLPm8N30S8LzPFvlpy+xfrnqiaC5H5MBaOJR2Iej2Rxsp0CDDUwTlFfTUe4Z/nI1qEvDcmZhHifabE7NXCjqHu+gbr+hWO/ySTZjxlcx5uLVkfHEllwze+RNi/khsjZuJTIzrUUaK5Jana1uShnPawP4D7vXu43hWYvtqqW9mFdF0JNUpxnvAtcn4fZfFbHqxYffvLX6+u6UOrbpHXLrao4hUqZk7EXXGQwZlFod8H7qN8LIGOGDDymfm+rFk/7A3aEb72k5cgvYiacAvWHQPzmDd3OaKtabwjKb3ZtNEsIdteZPwTrHYeyrYA4f580idZpM6zxU0qA2c4ddr5786qO5uzqoBe9972dReof/1Va/5ylbgwNfcMj4hSVqyjdWOXxZwA62oBIySpeDGjUAd2yDJ0hGlVQRfkCMK8ZpVO+C2wp5UrD+48wd0oU8gD7/7icamx5gHqassG8Ge3PzO4eR+aDTlKexyAjzC1CG15o6M/XkCVp2wrcvU2ZYNPA8L0wc8w3h0ASJC7CvQNMZngwf6hvNt0g73913Ao9HwtdAAunDzOoV8RwryYeYJVxZ7ADfcH1c/h58H1VZuZFw+StsfMR+ukvqvKk5Bh33ZjGEz7++Ra9gj42bT6q8H/Bnjf+fV0fN9F3DFTma8AmzQxPFv/dQoc4n+PpWLrxVDR2mjI+x30IfhgkfPboBDlKAF67BZyOrbsH87CPszd4Bfg44gVAuuSU77chVUDzj23763pg/0UwJ+0nD7P28WSdrRprWV8MrafjDXeNF78O+mp8L0qmAKuecT89AGLZSUNLEBdx6pSBDo+wg49KYC3KAc3Q6rP0v69oi/r+X4x2oj8gExHwDOHP87y+LmzPq7EjxtIrlh4eCZ8yo6SlNj/zvbHrSD3wZ/PWyXD2Hq1l5b4Dj8k+nulgLcQzwGmZAQy+jNbR409LqqZ4/cQqCL/y64aDYi0EfQJ3fJUXoScs51QsmojwRoOtOIEq4Lwu6ymvysCruIjV3PXeDy4nIl9O9GUf+OLVmW4/OFHfSvTypdfReyOeGFf1YBshury1I7yYlOBOH8AvwUQe7v+Jo5JE4+Gz5fRPHXribI3bbxkicu4ONUiuVcDqBZQ49Cbjd+Sh8YMK1y3vNgIcbFZpMZH9VhRm24X2j09WTj/iEHGdZ2smOrv88K4E6DjsWEKmrpDnKnOfOnlevDz4K+F9sM1i1oi4SB9rVS1Dipi3Uagza0/vUGEhHxT7J2Xb27DymzroKqb7X+3WD7r1VR1GPKk3wAzHKAI2vTo2qcFnRErD9WhdCgXL2QieSl9mdTi3q0QKEBZkjrZoMmS7j1rj0AXQnUwMwzTiNTH7uMVewnxOZnGSffQiz3Rmy9yiKloDiQWl8pUodWdK9U8IepL4Vn+6E2mak79zTosvx125wi9eAh37Dgvzlbbx7F1+FarZ3p2Q6Aoy3N0Fy5HTpy7DYHiwg2yCjVuKjtvVfCO8r0Xxf4xlxFX17Wox/ghI7qmdfAup+i39zwUwUIAOJ5rQLjJfevXtSqmAJerD7z4bIeXVXKgHmn4uuVux2lUflQY7gqIX9qYVl1qB7YzNHdbRGJnqAZmCfFvMlX7Te9HHlARCZ0gMMlVOf7xriNsNB7a3Pjz7Hk9gVw436vNahQlK2p45mpOI80aNaWKSoiPPCggd+7tU67P2s+/nFrC19UrwQRybepfTk65g5reTKbH1uEEzNjMxWL3YTde4bkWtG/L2HubHd3G/hjxmK5NqCh1PBcGeRoCfv8RIcF4upHIUIgVAgNkrSNyw0uEIP1HNSaFPDPz5zNYRX8ddjwtEEXJapP17xI/80XhTV3eNytlM8foB2uoAP2FeKfkgNujs9rHSaLchZeDuSII2SVgzxLNBtd8hJojhozKyVAt1/fhBGntZO9YP2uVDQbFifAuNi/+g0+Yge0cVW5Ch2s7YUVSXV0YD9OsPpa3xTENrVIWsGOoaCHIc/upUtONESisdSJBsyuNId39PVsRzPHHhV0gjzLuwDbpAPt9I7DRztA3oMMTpzBosz+xnE357b8kdyflNjYVdF1pLg4oFcCJpL1xCSwKD6rWPLK1AP23U6F6iPvMewBk1e+VljPmAwSePHezcav9+zZVSBeqkBv0uHPgoVGKfBAHPgiHUiUWuijPm994xoBqw66VWdHmwM+zR8tw77B67T48k4CNGvUvE5UB5BPH5Xeg6YBeOZfjxPn7x4Eqwm1++szF4DO4upObVXB7/cI5LmT8QQP1S4TzDHxgQtuK7Z5wffwZEFm2cPzUw76aXAx6DPQnSngCAdcCUlP5oyRe8Xwuy/gWP3WxHS3Nrp3tfHKE+jeBHyWDF/KFQPPRcVvT4497/NJo8o2PjqY/Hq7WPLXq0kJWLe1hOeWaRUbzwd/qiw7MHHZrP98irMc+aChQcNZJOY2aCxLE9mjB2N8L/K7TyLgB313rqK5ohpZrUYBtfWsxMXOhqUDPXCuHW8nYrKW/dcjc818V51RTg4nsQy1CN8x3x3d1AEss80cDIWSjoeXR8ZQAH+hOuSQqn57q+8tTQq1pkvNTI+7pq3hnUHynfNkAL0SCaFelENuFOTz4Cx5OaBzHZAuP2/fcyq0mS99iuRNQB4knMHnpo4UyYWyp6sEvte2f4Ocsa9DkmcU5W3kfZpa9HJKfszddiPCJwst0JTbnbKe5twGt/3XCzh4aM57G2frvTURcGlxcOQNcx8fLcBKiqjxloEcWirg5ZmFeFVw1vY6k72pWO6+IQ8vdOp+6j65/87XLQBnwqUUofRBs/zkzMNpfDHz1mI2qve5jczDxAVOfYRcFEB+TVgvM0KzNTc9/my2yKj6hicrCL8p1/hCLXjwgVyJqS0ZU0vZnLYDno2HNQ7lBgfdgHf3Av79Wmr0APS1/8U8/B/QrSfYM8e03z/J7m6J0VubCLHGupvz2xjw6UwD4C3iXrUC/wB/ytth8yAD31U9B83lBeasL405qoDXAPamzQB7w1FxvfpvbX4CPrhXLneBz77w4P0Yb7zcUWlV+CsN4Z0Pf8y8IDtFXSGDboS4H6qVZ9X692W87FPgzPVwW9mIQGfwG2B7lzl3UIp3r3H3qwAseedlPiYvMkmv6n1aTcYf6nI9Ohsnh2yZrn890IKUTnOYFwpnQk043IaQJ04nM38XJaxxG1sNi6hsXmEQL4BjVxzslxRofmZ5hETJ+3vNysmeGDAvH9CmBu3RAm8FjhaRgPRNj4JmMnoUH1uOOqqTJ+Ah6JgSsMN+4Um5+Xj/EL1agI92oEuXdkpfPNKdmVNSFUbb/Zsr4tFxcCqtPkqXJJVLCuwklMXwPTj/ZiGeysG2qglvBFc7WvA74FAE72dTa/KBIQ+egi5lw1aXr23fht2GTqb2Wx9rl1Cm5RHb6Rs39qcAvSA+1toix9KS08GxfcX+uFW49fHEnIN1c8px7lMz42jlr9qV36B1Cejhoh2Tp+qBM7tcyvhrkwfpA/YwyVc/YoOZe9R95mJ5a6LZ1BMC3/gAJm56VHjDjWt6QiqNBlrMHfDKrkH6zCJQ/ONs5s/nZY8vgFmvdtxYysFUOqBxAfty0+cY8E0aWo4YIe+E6FCF8zvmO2xtC77bWulue6qBBTcjRqWTZO3okWyCp3b1XnFcCN4RGi5XidBaCfaE2NnVYccx20olIA8W/jMfvC4r5itBSAJPWbnNSR3/qzPvc1fFqTB13suUw/sFzdqZ+duVBl4wmf47FPCBizTueCtAJoKWBJB0yPTfvQLw8G884CvETKLYsCFOtgAX6iEOGejHqinw+yzFOsWc1qvCwL1KMcCeFkmSj/MCXHrMB9KDNszgCT9SzeecMcB2b6YAW9TUmGpCAdfihuuQ62RqBwL6RBYVW3bYWjCNeSKjf74Vr3wws5V8wLjLas5guO3vJdsuTfz3WQkPNTw1M4syVST4AGjM2WZTDejW6O5V8jnLR/tSWvcSeLaQoJ/MmUcuLo9TQIjxpMPB3zcHeIEmtECNfZLRA2zpfniRvVKXf9aUYNj/XmrNwP//vESQPluKhOLNwvvwUcd+JSMuIcdMEiKmYdpittJKp/BP0L1i+QDM+iydfzMW9qVrvDNkcaJfG+nM33j6Mn3qUQ6aglreqRWqqPLth5kH1/K/VzkmztGCpwmlBNz6TjmB/BpuID793NJxVqDzwekY7nXw6+W3on8e1sCpOt6jDfz+oXGljYHr5qaGxvKknIiPLeQd7NA280flbgtrZO6F1U8dLTeI0sn0VLIeeSd2eQIWD2koT+XaITWya+V0Do/+vOPwCHw/LfvuQ73un9T+uzm4+qPt1QGif8Hub73fmQAPlD355JykHOkScuGGgz7J479mQs9UhfdQITNXEskq2i5pTwY6JRfAuAI02/iOQ8XITq7cxRGWuWP4uOGLOP3vvvJinyDizRwiIea4GWBdozs5hZ4HuGDOeiOzt0zNBaEJ6Bt1AJSrsOM5tfbPTOCZ2Wj9x7ELfeVR6JYF2pm6pHb8sk+RJoB3wGMbl472x3/eVt5TRc+NmZ1t/NxbsfQEdBIbyIEK49NhLSXgQu483RTwWTE85bHfkeg9K/jmnlj3DfmcHy10UvrrmjlszU0v5Q7ew277QScC+urvcnTMTKU/y/G1PR9XtuRcmzOWn1ZA3rOSKxvKB4//WixGrhqHK7zv0dRJHJ3h3aOaHRwz7xxieEKLmavVxHKEOHupgut0d3uoYXOtaGODHgypm5kZvkciPP+EMBKMA6/kBezHD+PtR0OO0t3dlaO0jHclcGXnFPjv8/nhlN9PkPNWjMhytIZNZnU8DS8WFmplvV8yF92ImE2Ni61W2Qs2G78ouw2kxQr/owkyr83vr4bdjY/Mw/Aw4+NFnXtFeHKqKe7ePIqi7kbjxlGUvZQL+UHcby3nL8gRD2rm6DrbA6eQIwBbqgmwe7inbPpyqHVZarGlkAuftPDPIlR9O/nf1J55WvCe9P5dFR0mkXyfb7w48r/rgTxToZ087npm63s++bMcN8AF7Io5iLWciLJPktQho4yZ8ajJ+KDN3VulrCUmPfqAHHo5CUSwnrkoEHA9e217tCPBP5+RkiO1A0wkoDUIKwDLOWckwDhley+Hn2lHewef7wAmlfVoP5u1M7WlEAvSIeH2p+alI00+cX1JI09zoQBH8VgNv3w/rxzyvkO000LuQbsOjN3jzEGVqcemjBhfX48jHlHtszQwXjHEzNH5BIy78QLHLWA5xB6oZE2qYYA1/fXXQ9L5s2ljSBtMbVQ0d8TG77wM/MrMIcd+NqC5hl/emH3BbJKHN0euuucMZ+3UfQK2XkhMds369Tg6+gKxbwNmsQr0P3AjR57vEEhEG+9fiN9N6mpavu4/kPPf9+YkZ4sF/CCv18xu++4TGMDj6MqrsriNezziiO/yKLHZKO0Ty16N0ZKBD1i3/aamtsf6urZo/zhY8FyjvopYOkrPAw98Ioc5x72fvWNDhvaeAwvAQ2erkYijM5/V+c8C3OWkRtt4f9mCdp/EIn07eB88ZA8WfBmtELbGYyvmazPcP5hAL8701LDMFaAl6v7LS8UGOP27H/Z+zEytjJn/5MyCRtsYeGDBA5UyWKE6Kk2PBGDwfJC9Bl4wZ3UoQ4hxP3eZDZ/nGU6tjJvO6HE8GM/m7UYgfedc72rrvgGNEPy7u+nVjrPlI+txxvj8XZm9Wfx6633UQehUKDGzZ8zd4TOlX/BPkpMBfZBoG0kzFwd0EfD/szIaxmWrMHER7a+5Jkes/bXl3dsHwQWuqTmVxre8L2H9Kmf2Ks6dapRZNSUepd2CB60r3p3yODNzFIOjhUGbJjHmEKSr/1JWl9TRPJ/C2a8de8kcfSyZ3qV252X2v/k2lwbi1fiEpRHgR8FFAxygHjtxdL+c/LVNTP+LCAePuXrBKznk44IrF/RlATq7GFa2JhXwtZ3xrquczdN4TIK+9JoY32CfF7n7vne4LWoiqUQXr2WDk41GM5EhY15Px0RzLRMhgEOi2U3RPFXRYNegFHi+HTFo4qzvaLmiThVaykiFsH8S+D7Al+5JvhoveXOX9q/P9wcSbdVy46V132Q9CevV1Et2C/CIYxqhz9r5jTPgsh3n4RZiWR5apA4yAo3Ltp9pgS6wB4NyGlwy6gNozrGKiSA2OtJ1sKsIvf047HqV99xWu9r4vvAkqQfIf1HH8sDMkbp5WCQTjbUnGflg0TJBXl5EuPRpMVulyy9HMy1z3N7NfeWJaoitr0c7SePVvTkF2Kl78uYAoP34npq5zRbklsH7BjwMKgswhHa3ehxe8N0ktxvYFeUDm3O+3fazHk0tlARd2Fzz859rA5qBmN4ZwIpqTOJcDy/QLufK1j1d/82QROl5e+ERPCFggKkZSS3eY3cPOCS/xQQ5Opp/QIm5yul62utRBP6LCWXqydwTx6Znpqz6AdQqxqWzkNTM6T5vzTN2dIT9HfzrDXQp8rNy9F5pnxSSqlyi2Tm6pAL+NHCKTsCVJ8zIVa0+q+B7Kec+lUID3kshw1nXod1TuwO+sWRYSMhJqpI2e5XW8lSaxxX959matzopmhiee8XmDrnDAdGgf5bfes8+W6rzHyufyKhAb9BQd4B25uymVJN+CsEh15AfFaFzG2tLxXPG4uRhemtYZGbYkU8qhvf5htf2iQ/PNdWx4WdJIc73b37efhyd5ROe78Hgu0EMmlkOuQpVUIXSTkf728wvP8X6k0fe4RTLpBWeXdqJ8SU+iCnJCONerdGjibp3LfEtRwhwTnW1AC4zWBYdu7UN9Ou4kufRWj7qXp5VgcOUzZXhf6CrF9onH6xPQO8kmEeYATcpuYO+ucAb0F05s+Yd5E5eiYVXkX73VnwCL+rEqHPA4Ccf1NzyvQ37M1Ur+SHWMmbTxeHCRtTW5v75B+I2yFgCnEtZMkhuxlfuABkCU+zI/G7O2SH/Qcy+7pbU5r5VvnsDgb+YWW4cNzt4L30SwF6hbPQSrFVxsFKjNDeUsY3p8WEsXI9uUqhAfbc6Bc44vwwPMx5vWc93LCCYRrdrPmDciGXD3cRhoAbf7+skrIecLtdaoDHnPuQ5buqrfhSCPd7rCTud3fRdqGwMmlGBptg7NHo6gDcLHfGDa52d4m5nvJgbF6cZ7EQWz2MedE4+6VOr9XsOTJCbO1eknDy8F0YfwzPllZ3ExOkegpKidDzv6ECeAi7WWDYTw3zKrDmoUPNkSO/loNIqv9mSoURRNOWhZmySCbHL14mHLzH+08sdR8Ca3CTCU8LLYhYNn3vu2HmLtMxDueH8t5bc3N8vwGMX0Zu7HMtthmUH729fCTTAdyCpMzjwM5hpvWSCF7WAfCJUzIb/68lqbJQxYe9Fz9aaZhbgPilHVTSWF5DRNjFQQX6cTlTG8MyHZkWxXJOuHQHvJ8Tz111wu1xM61dtzm5RJ8wcGT4Yj0I1pU743suMDQixAR/ZlNiwr7Im6DLglh2PdYGtrmwL+DR39qkA/iFsyG9807iQq525hLUtiQMKNuoc4CBeRv1vPgI3H2dXsgtom3kAThq+72HVtHfwsDVzfj/kSgiNfckG7ZC125Ge8CrUKGeqzANlAzamNC6NZ/ze9NDnq0rz/ssB7bSBeP/GYRe2Ab+2PbNOFGcpREtq/TsjKrhlJuglGdN/Ib51X096JyiyaUEyiM8XsbYZ4UCMX/cxfW0BZ/QPnuZSBORcD8kzXbGUoFQw6o6ghwIVJZyYWdygr9nQMUL1mx/2J+Or1Ku9iryfo0U+WyHTatiWDHUfLNZ+aiV9db6vuX0x/fHu75k9nwc5dd8ZszloDW7u2qVj30uavlptcKOjskdjHXSTuUt7c9FW4yIfkiMduEwtOZcO+c6tbgF9nXPL8829Iuyfwjwzjv1DheQM61kKM49I+wTe9Wdu41PTS1dEy7OxyUatoB9FQigDvteH6781HO1eUDMT9g58xT/+zio1Ho0Rsg+WXUCuFrk2frr2h+lDJE7yZIE/pePilTambYhPOeifesKemV8MeuAzcxubDtsOYoSTQr/rRSnwBf/gIOCzvMh6P89GvZi+FDp4VASdBbyMwTtfMgtFgGWQu+5P+P0Y+FFXherQUEmrAYEGAz5ik6ixZgcUDOhQXDTBl0Om+V2XYsk1hJ9Fpyrcu3zsYtqjR+5irFy1GB7EhSwJIpBDE6+KkU1WvTN3HhzJHR+8AOKpoJPa0KJ5ctSFHNgFPEcPTFgzC4OG+PdZEJM6xGbOtg1cHDSemR1q7vPasdvh3TZOqQ4ajW9iTAhgbEpYh+EzJjyhlI5eQSwOWfYeY+Y9xbjIUwHfZ+KYMeOXbs4cu/7dJyXZH5vGiZTh1sz/OTWumcszWJx1wBTvaab1d434wjRZIOcD1/R/FE1IU8xl48672iF3aWJ/VLuDxa/AWbtMLOgEWi3T6iaH7N+sxYx3F9EjxEfQUvl20woSgh43HukR0RL2eFICj/Cx9XzkMazsqvNGyw5TbTXx/lo6CfABTJUNOdAx/V/JptHDJmXw1BotfJXvWR8uZaiQk2RprD9A021y7ZuZMh/KMfN4sU6nYYMtaWazRczxruYOH3QLzxmK+OixFDhOve4fJ9EdJWi8KrTNHYapuXdKigH/1fuOPk4jda9WNRCmn0R3umV3P4//enXEL4QBLgOHB836hDjR5myRClmBFkpp+HxATpHAtXPAtfE/r8x5ONHGZrpxcMAl/P2HhNYb5+2jTS442mwaZ/vKJsJNrx8Z5xv82bDiqioHecFBUrHXtmpWyKM8YSVVP43VRfmkvINlbY4OyNNwuwdOHPx6kq/4o42GVQI/k1y+sdcmIeh88WdpQ1s25z/PBnI9YLkNuanM7HkP6/hgveFgBrefxo/lo6JYc2TqJpcd5CzaDNYVF9LMMz+UIjnjMdzkXN2x2F4BQ9++gaY/SjZi+8MHEgmE8MHaLE1BeEN5mfPZw5Ym8P+jqvBx1ZtZbgRX5214Cu8yteW9XrGfT6CZgR9JV91Bx6QNmm3mhI+amZnnyfDOX4SSqbSyNR+9G7GBV4+3F+RAwKI/Xm76ICPViyC5gA4jbMoMd55rK7m0IX9Vzte1tue4Aa0DPOrSBBh0NhkqK7Mhd29AAzrA8d98/nRii2Xu9TIb3yF/TWp3s4GXMTouLgZcywcvqx095c5zAc70KQG5FayNHLob5Om8Li7PbFVzZkmgn+hBQkQg/oDz8UEGzMH9/n22vCGxzvi6v57E0qtCOjXs9Fpzj4mZ14PNWhZawB1pyW5PPPEPKexvjJRdu2itXQI5UR1rZPyU0TGfJKIxKY82xLGNfbl2AR3QW+vxluMcT/qzGvAEWoTDd05PMYHAs7z/zmowcPLLBrtfGxp0JR0llbqrAOetWs8FaG3NQn4FPtjlWqd5hFLYVeYM5g55bE0n/r5ffmV24vAwuZ/Crcd1EmWOumfD/cyB7ZbDjElcvuqBW4yzV0bJox1wnxkcCT2bxV9X4NGHlvr3ajCz4bHJT6faVS+BOqsUStSx/+aHUgSyaJAWym4WLBDsZ7Q0TnIETmPTSCeAAwxyEOUIl/lqZs+k3tFGLrXM3Fcz5xnboN1BT6O0YoibmTcs/FooMKPasmGt9++8LMnqR6Cz9tnvOT3Pq0EtmbMtzKxgwueyioEzxtgB/PL4RE44Qvdc43tlkbBk21xGmp+Etyv1XJW8u6Wi04ZfpoJXeTw4Fbu//Ylu7NebRvqswKmpszf1BFnhLzXj8mh1dstu3tEt3cPqZznkP4jXiodeKvvUeDvc0sF7gPa/1Myy4HkWGclX6shZAn/lA4bnt98xL+A7bKgmJTzzYOal05F/kl9dP1f5YB8q527mpO5z0zMr1LVy1FQ7Xly5oNkhp0vGlpSS9feuWCQXEOVMBEpnUwjxzi8q3L7rHFgL+MLiFLijZclQh3WQ7LHx1aSJmY/mwiNfU6EYMb6Umh8buwuUo44q4lMa6IAE2dpA9J5M/w1qNmWPiQKNBFzykjKbVaAx//87XxboO+j+Uzsk4fF1X4GH+cY3lyK1U9Hgynh40HjYKPr3dVgTO2PZlcdzRQb7khb4zl0diPC5ZAWOYN//gEJmgGHp7xmFsN8zuEiqu6iNJOCHhjzHRUp9U3N7Mb4ClYM3Gf1ypCAT7A1Ss8XOdWP6oRe26iPouJeK7g9isRdwJNgjwE8YvCvjlefcYJ3upv/nnSuxmZ9jagJLq8t4L/eCJZKGXNbi9iLjtoP9tjbAsVvjzcS6mPW8akFT1xbA+O7u80ndjFclcy8Wgc8BbvuE2M5SoQ+gBM5yIG//SlwxjbEGzT8ar4zOrpn9U9rMEujvlVDIquE2Bn2NgZdOUuNjZXlVFcFmMnP1Az2YebfUaRy6Zi8SJYOKZJStvm/maWXs3uWrrt54mDp4PTizme1p7h5sxb4W4E93o+WAE0416xY2SE4i0LaFeqTRfc5BGx7s2c+L+dpYSVmvej7YxMychSj5a3rIHlKYGhJQgkP3nqcHGoiUtYVn4DOfGGEMe4RnY3Jgk0aClaBblxvoEoYjwnMu4bv6CeTwWzslTzmERk9yYBCg3QkvLQJ6wVrSyHaAc343gT4Cb3rjIa04Fyc0R0rcDG4PwEMTM9+8FJA9isTc31oQo2HbA76YGfUCtJ2TjOWYmDqPAHToE3jyjXB8qB3bOtrJC3LonAHHA213ysbtv/NDbu83TKsBuAXLRxlyzv2W60m6/qMU3e9M3Mwx9RXbH9b/tRWABu35SY7zJQMc42xrYUdmxsiKUjWkVJ1AW3622s8E4hy7l/ed71LHGEN+2yj365XyTrJi3kPg2tjt9qCtEtx3P0z7uwaRSQjIBY5tAxeVcrzZwHs/BfLvwJU2prdKWcRXlgfrzEcekQh4wabh5fve/IWjbXASplfb66tYA09na/m6vyrQIKZv0fgZtijpxdABni6/cxJoABzT8ogY7DEtkp969bXp/QSN5NPB+CORkyoyDzaP2fvvO47lxLulHrc9KD7jC7ivgYsrU4MhkhdeeVUFbAMYYJUOe1DeaTlIWVN1Y6+bmfO1tGJzhTX4gJXAjSWN1+IFeHkibf0pC+6l4t0rfdu0MTwTYJRc/R+CdEYsRE4IeFfBLHNbUjvp42jhuBr/OLT/crmLs1OM4D0kHnNMn6X9gPc/0Uge63D5PoX4xdkyMFdm2OGn//O7Mb0rc8Z2fzYnVC5t3O1EJMdTkIhUfz1KZymraX7WjlpY5E2wr54lU9+KyQ548iHj8EYFKKYR30E3VCL0cpFvl1OkPDXJsoUvm47yfZdt+kqdtsBhxtBJUXw+OPJY0r0lf/MdfIbuLqdwYTQyczP4N0iYl1yTu4hA/0b4RcN5D1yVq6hDBHVu3Se2imfXzD+A/bFj0b8ZrTO29m4a3j/TiBxK3ZVtD1jNyanWvzOTk3yQ5o5KphPwh4IUJ/FcUyG5KDBpkZlxPF/TgpeA76scll1adH3T+2a2v5Xxrwe2yfscgNZrp+tpcNLh5ta7e4fZUtH89mgnPQOH601PTC72bjt6+lQ0VkvRiENOcDEPAKWzQArwD43Atze5g2B9SUciHnA2W5WZT3i+v/uXr5j7wKuSwtS8VuN+Nf4J6UpeCinjj+qkznZfoZmCVv6sIKdw49nu8tTMP8au7MpRnlOrg3QMazLOxYl2M4e1zgN5ETv4LP2vh46S83Y+OF0iQrRLJ3jLKFukq0+NLVcaap/24QJYxEFHmhmsOLW+HDoYTw3yQYoOyTgJ8/iy4EFiGXdX0KK0ze9csO6ChX0GvvnOX99sStfGsX94ODvY9UMxkaqcsBYFckEHdNJSnzlK3YrhK3cUAe5SgL4NDm4CfNR+Kd5tKvN8o5lbABjveAd4tzh37FGugJfR8q7vPdPzfS1tULUaESXQDTDxp2bzCuL6+uueEW57hjqbr38d0y+QTuFSWTJhzrDhXMfZ2E1H0K6p+K2HSphOvsuJzKCZL9Wofriw3/cOZsZdqUTzKgv0zIaNk9vkO3PuiNHkmjGF63gG7kZcFc27SgAHHYA7Dd5Lhd5Dat/KI2+onIVB/v/GjDyJtf0GjulCbMZ8QLId/vlyBmICDTviR+bC/tEENFIyCK2ejdDmHMdo65UNtga9ZHxFX7Xto9TMIOHhkw7ZKkbI9cbnxwKexfSPEiSH90txr9dckOVgNW/stXm0fJqZWdkkBcRVXoUS1Sv69dpug987DQw5WcIzPYFjfvKosZi1VIzpU0b9LBtAp4SJn9voRnRyEew+NwzyeUz2R2cbMP7m2LcHjbY5M7M+EGblVL7KFcd0ms9tYfZXuaHWPQVtmqZi/zoBzp5Y6ORjdy4nUyucJIo1dhV2JzHOIx4SX0575+D6M+SII/AOK+fkvb8WwqznwVZXOYFGD3SmAtALPImAA8eqNzNUEiddvx4VJXPew/pSAvGKry3/ckV+tzI2TxIEDuzenAfpCvpvn/YKeMa8ya0FOFD3nn8IWGo/uRu62arjZkB3UI1Zbu4vqebGO1uCzqtsc19gJ2nPTS+ASAMSyZ5cK20cGf0H0b4L+d5qLM94x6JczDHjc0xBG3H6z9uUp5DjQZvx37liAbNB/Byq8WtzdGfb1KZAftQixl3LFuNlQYg290Plsx5tDussS8uOVWR/wPt0hCCfJ6Hdkie26e3MRjulIEH+8V5r/zTYKQRgZ5TkgL2Icm2lcRcIAVnaUcbj45qNZv71r/42M1AQcIwb50mXFqVVrgAsAUnl636GnObLaGvu9VdqqaB2lne/Q5xZzVJqvqsG72juzhj8F2nmRticHm35Kcxc7tFaQbmeqklbp4JYIiS6dBLjU4izQofGQ5kZBzFrC1xiuZ4CbM7AQKonOeTRN++9A6/I2pAjyA/HtpcvqvebOubrwQ1X7pQvDpwzndSPcpaZ7+4P0IAJ7OknaKRbIxLbeCfCq2WmIlbZ4QK5zgI8zUyPtqkfZAN/z9/Ap9C21HA/YY7xwdzTh/wJLChgLIN3tX82Gt2q0e4rKrnUZFc7pjZiez04i1aWupSWwi3oSmrpjeKZ4eWpjPegYaUoIU/Q2A/+7eVpXtiorBTpiVsckR7vVdiBjkw9eI97Cpw+tS8LGTZXWqQLsRJYXzOrltwI5C3mNivEYQB8mABew77SwE/RmlmwY+jw4OjfbDGfhHOvzttbHfglHuVB2ZhU4h7KoPsxNeONyy3QiR5DeBEhvqbBF+wt9cmQD7mZ31q2ebV679br4EEedhrATdbvr8AzQbeRZ7XKd93yN5nUAFrh1UyJnYf2nYd//vNm+V8dKxPZoyw65wh6vlxDr165po4xipoRj9UHaMoMYmhQwe9d1jnVybPk+ucEuV0Wc39w/s1anBubz01B4LuSzNwl0OGPW563oBARAp59wi6ygQ8mzVo+T2z7Q6Juc4LPN/4HR3dwmoIbrySS6XLBlB+MF4jU4YOEzSqny6OJ5/dn9Qp9eWmYPCvtH3NXjZAHbml0cUkMDDHsOjOFl664kjyZ2Yp/FPNS4iZFXXy59es+nVgJWKLMDj9UoEWpjX4yC+9xkNzMvL06+HcXUDauBJwxM0jwLO1O50xGwGkuSnQiL4jXuMRpz9uUMPYEbgOxlhyqaKvz3b0HzROmoENlPN/zCPRtn62VQ0rF4d0HaMws0tMweXvEO9KaTxVoGGrNsRB/3KxvnhVDgkaQy4POPcXJMXP38I1vT+ncPWpLD3jcqYkTnA0cp8N8pULfcoc8ct6xZuykilMvY8kLck9Btfq3vxpNTN36AfLfmY3pUqNkJwL0BL4cqHDmuQW5O7THZlV+2yNdBSgC3TRVFr+riIzMWVZTl8TY1iE9+YYMfm9HfgfcyJXw9qX7932H+H2w1JqzZN8A5yJU61onrhy63cno6oJ5DHCV7bY3FstMTdzGo17aonwo+++jBYygAfOOlmc8BXz4/3NtfM3Y7JuZXiX/u5HFu2bp9sARaJrRs4Fz5s2abiAnO3LyMT2bfkj7Ltk2qEIcHe2ZqUgfOcQGRh0j3PS0dJq6GvTHfDH1oRVN13TNXAl5rA5vr5bKc9b/69kHrolHZfK2tRAcIwf09NgM3ifww2OlTS8seckIL80wV4I3dhPZZ+Dfp1QQyYf7k7ObB9x+yB1d1AJtCGAVYBjPHFmmdFhLtjj/eFSIkt/5ao5H6+jP62B1HzkHns70UgK/gj1mHexwTZl0VdiYHo+l0TrAw0whVkDLok/AJLcWyWCeUUEGAH3VVeNsUZc9m+Jfz+NKUWi1fZdmFjJ9uncze0XaSgjjYwvYwwfiQM6t0siDd8A1xOC9slQHPDfAsbbrAPR1mITAc28V2+ZkJKF0cFoP3SDhv5UTeuuvV4PmlThzYNyRVLgVxHC9XrHMMT646bOm2UJ46VA0/3DrAhn89+c3BHAcj5uVr+qbWqFDbICtCGJiuEMO2wIe2Hdmzjhj9e69ddPe9OygnGh+zkztK/Ba5qIrpxDTQfKTsaUzvVUKSUDOrgdc4U1EVtL/fdSCmLX4NL0X2FWDwWszb79ic5yL7QY0nCNt9J47t8sYD8TgXejYOMAnLlKAXhTe8xSRSx6pU+5sTScer2PpyB6P6c7McdxKvKaPytpexcDP1FoSDqLQrGNaDBZmsA9RszmswHv120v9nh1X301fW0fSwa1A56iptNNo0Uc7uZcjeTZUMWb6nvnv2Q3w/q8N5qg8WF+Po8vWdmDm/NGS561NhOyV/loU8EkZhEtq2T9t/PYcv12VJWUz2mFqA+93zIwBbrHzPVaxltmQPdVKLOBLWITllUfar9Hfh2SkL7nvgma9tZHuQKc9GoHTdEB2hbrJaCyiEWuF7um4vDGKAK44gD80jbWZcVWBZvqdt9FESNaRbc5rTyRUD+A3Xup4YzWiM7bRI4P8VFsdlsyryICNFwbwg+WHF0DDwjtvwj/Ac7cfaYzePuBLFZCNQPORsnt6KjrL6JG6wJ8VbSxp6issG6i7Xyqr8/mQFHl0eQrdzaXl5ZzZmSi6C7N4xQfbzIRjpFCXZvTW2lFcRMpqBvLubf8oKXCgQN3LnnxUIzmrXn5S9PXIo9l4E3p87STsfeNnd6mcbdE4vABs/gHO45fAY1W8tyFmnrU756e4G8SE7Ba0M9e6yIu/sJ//7375xOwjPJeUFneV7sZ63G5ImC0Hm7uVc1voxCnEygJrXGbDtjpFnLRimVKNdiVoLVMfkmrSUSfJmTlnjhMXNHtg7pBOAex9Kt/nbE4qOsmn5JLyJJS58fCWP6wHDHDxrKikpZAMcOHURDLkw9YuaQLP7J/g+c814gVwygI08a4Ot0hq0Cuss1iBbWbOb3uVyiJ5+1Zs0uni5K4uUtQh0HkHFd0h53cOR3/XhvFbSplT8a5seuTkATLetacy/39Mfd12ozjT9S3xY7Liw8YgMDZyEPoBnQHyCgZBiE1szNV/pczjvN9a09M9PUlsC1XV3lLV3ttBhfpSF4rmK6dsbIzX7chslZMwKXm49SkjDo1sqEL/XnpEV6M1rzrAgQG/VF3jNiPeqMjzSJxuIKs7ENs3+twGWZ8EsE+eVazu5XMOeP+1Vl1mCSGlCtWVwzM+ruVyEpYjI26LiNhG87Nk5C++GgZotgecG08egOUdDpEmY/No4LVP4adbjcSDPDAxiCsckO9zB/nFmm5UtA9ldEtMH+Io8zrSC6XKeCVSwCEQ9zgj+Rbxvn3d0WdQD6iKUu9M+Um6bUohJx4d1Mpojs7av/PIFnXMVjZsFsGnb/haW8bSp7r9SVckSo55arXAE0h/DqR34lDngffV8A64WHoctq/ZwFtWAEbXE2DvFmoRnyEXfVXxp1ebOUt2M/NDX8ZTSbkhrFNbAgNyG6N962yB77WwtxSihe/W1g1iCV3TnueAs0cZ4yDlrYshV7x6U/lgOQL2B2Drnlr2MWct54JDjtF3oKZXwE/XapjdnE0LYGaRQWavO+U3cZvkkAdkUT7k7h14RrieuHRFD5iBoQo78LnDOTczQ/97LS24bJsBV00BsRd+AU5h5g4TcSYDaiUis/T9hMjbOVZfJOBO3XFdd4gAey0yw0sCeYCYDplLPqpwIeQyT9T0I3W+pgP2od7/3X+ZOY5zMW2AwVx5X671OL1xNKV5P0XHlXt1ZPo7H1cKMVD3kzw60q2ici0dDsRERXm4HGnBszxIrzw2d6U6TikuTG917aLe+HO/5m448I7c1t9NtHFIQELsmH56DHxFDqcYhSYmco1lbc7oaKt5aJkZS/fc94ui+4d0/zmwi6Fuk0kOE08HTc4sOUAdv1eujwG3v3KUoPn8o4bkma/tmtN2wjFOhYBc7urv3HnYTMuCdwgwlBL18OmR0S/liLoS6rd0ca8oHunYEnOXmVPeNcMNeKmfVhCBtAgXWKNX7/fS2ORNOTMndiIZKz2obyl3oGY8Z6MtnEmrHcs1eWYdc1M2tXRQD9lPP9mKQt4lYWn0tR17z0Z0xFD9aDQlxouYrajPCy3qLnnNE3W1sKvSTX4oBY5L/+vdSG18SGMsqhFyKNKmH+OILeyKuIdn0sYGc8MauedwhjVQR8Z+/cOMbjRPmX1VQj8OK9mUPBnOkfXa80Ft2RVw0h2x0A6PkHfD5J7q6YgBx7D401KO+gKsci3Fwznan0/Ry0WGxo/Bh/f9q3dzEGP4pPSfAzV0AYx0r4PW/tWStH91fl69c8HJeLLz6ZC7fofj/Qp8gzZGW4j7GzFMXR4iAngE3p/MjxbgKKd51rARGrEUePCKkqJC0D0gygn+3uhvJBEzvWQ9wSx6t2vxeO3DTSaMZ6C1QF61zggfJVsOpFcSsEIONXIEPvpdhTyRdniVon9kZm8MU0DXxuPFpFO3bZmlvwnj81lPDuRiC6/NHfDO5rSbvdSVrzV0Sgd+8sod0duX3MksqJ0noylZB8BItRyF1mED+4L96qfKzblHGPZZC+tjPOGTstNfpPj0KsCIrG9/+5gzQXQe4A/A478+QC9OlOdzdtrdHKMzT9HXanR50mHZ46F0IC8/z2JLaGHmpqZb4+DZaDuTwW5P0X4DPz/HljxidyJKkKPRcuRcjg1DDwZxSvtwqe0XZptzaW0n4AVfEqlCdOgkCsVKod1U8I+UG79hbP/Otrt+1BSZVQ3tB4fPIsLF3MuvNedP7mgKOP9ac+ydI1zBPhurYfOEPZDB83/50R/+66WavVJ8ukQA/uZ6LAdvgZoQZ0O4oa7kZNQy79sLC9qRrpmV9UbnPL2a+XsZkuhc+L18mrnir4cMpw3knC9u2Ydq1B7h00tjfCARBnaWXEpzdqX3D+ICawg1qxn+ZlaSZKJ3zsMNML4GTilHyD9+ZnGUhvJKB6iF47+ntN6X3PTBI+SfAxQCxtsDN8O5ZcvSTl73lRNxFIZ1n6BOXQFHHupVOmkM9T5QTkX9fX65PfOIm3pd4UgmGdseWJ+kwJO+cseOU8CeWQH5zcGYDBMTcfk4WNqrGEYVcGHqLK+5Nvu4qiulzVoxCzDaDPVYBecgu2ZiOuZjEtSh8V5JIuAjHaP/HlWvDvnQr8pSY1UkX1Uhn8DhXYiPvu6RmYvIoeYea0iEzNFJw9Vfn4N0+Tcf+VB3DGJeWmzEN+CUwBm3gbSAQwEvLXu9IUyb+95bw8z9anKTkI8hf/3OYpSW6UJFMylwfhLYglwVQL25c+SP5+FP6yPIRWtyv7kj3VVD4pk7HwX1oyyS7td/+LnNjD7OCWHj9CcPDgOchCZYp0gVyb10UQb52Oc2zihQE/i+Rz7ICmr4HfDppRnR65wNahtz6vx9xWt/p6N8Amb7ECgBLOrbzOhuW+1VFAhB7kvhM7dK402Z3zw+TMnBKS2jHQKYUafwQvh/mq5stz2c2OeS2m2XhtlLH/txHvGFofZ5ipK98frLOlKamZFTYe5I0FMaPaChrXDAIXe1Rtc2Zx32S+fTM5gN09TNd1u3LHibx8TJo/7BY1QC9zQeB3vJ/vrnb5ImYeZM8zluQ1rA9wLfxp18K0fpA1a3c8HDNNg/KtuHTDZvGgd16jkD3tnfaWBcKuc31S9vtCA9YFAvFewKMWeVI/CXQUPdfvGU26a0btfc4VeWAx4YQxfiyFGaZNR5t0zuNGd2asQPrkvgiWYWJb2fmSebUa6VztzzwAlg0bW8vFvZE+KM46qk5Ah8uciG9wcN+5eGyYOu2vSx9o01O1X07lYF+qmGLUnH6QDx+CVQCLEM3DzYexX93KTRdpVaBxxhr7ZJJPL5mxS92zBVqcCPcq49ox5ZF8yGOn5kQr3u2gBbSgKxAlWXBGnfEmnNdrrKHD5/VLs4BV5jdE19MU4PHGiKnaXLf7Uj8A9wtFyhyUmHua2F3ABOf2OcMDM/Be+vkmN7ZFS/eMpSAanMntuFh+VT5lvg5JCBzOyvWGxla1wJ75THvDS8H7jXN4cP+r/+NwIc6lqt6RW74TMrJMTiHkjooiHP43wkRhPLaBGPr+clo8Y1vOAUfHo8TvqSljYW7fI7O9fJsKHJlXLCD+bOv+e0coCzO4tmsdELh3w/pBZwPj+jbVkZfr6m9pkmb6XAmzpMDlknX75mT6kbC7gUVfk2q/J5QwRgU51IWLMd518rDfySo6SEv/e5K4uaeV8y9i95988p7SkDDEVPkYzO4WTuoeZ8sCFvMqNJafqXhv/Pr+2QMTvMKPGomNLscruL6P1ZDuRJAHuzOOkoQt15N1dVnEwYJVNla68ZfawsQnLGLciHgCO2xscN+LrmGcfX2sy1FrCXBfk+On89Sx4WSwRfkxwsb89ttMmdKa7if4+SN/fa4l+wtxPAV8AJpivWfnd09/D/fnHwdxX05l5qT6LPNVvbN2XzXAKWqdxwKUeIvd6LISZevViVZF7cjMR49WQVmz0llhtzEAcuHHHLE7SYfNrbRzLgWPXeAf4+gbyzySMN2GXLSldxTPWX5HiF1zRY+6SK3oHPds8cHdFevu71jrUzA/9qRT4sPA3LBw2QwCMSogMuJrwZ9oc2mqaAQR41n2Ipkh9cTLfDcxtWsDrM2t5M/30+zADOgb/mWwfqd0+1flTDp8Wtz9dZ5fXokoPxlKwdfc1XXdaC3MxMBhlNj7q6NVHopJc5rZh2WPxlfF5aghTksNZhIc6Bp4TUeAQyDHyT7AGrHkUQbiSwyrM5T4z9lybhnbqlVQl4llzumPEO7tli9BugljGugfUxL4d4tOE53tMYeGXf+k2QLtyB3OXYyRkpIdnDzflkPOU7wI4uANH/fDpNvxOs899574jfKqFTZYWGX9ln+OE0aEPg8PvmObPzgC4EaX60bhsVbcdGq3vN99ZJ8BtgV/jemQPvSTgPnzIAXDi0UH9wnEGNlmIrcmf7utc7MPHYKKYjFuk9HaaRBxKLcLvi6GF8fHf5sF0oW6iye48H6MAA27G1tc4C75Td7gTtN4DffFX8c7PLzKjVP9hKvKP9b0PtCacQ6y+eAvUFmVk5brwce2lmGnqypp4MQqvuP61U4zeIBZmHe6/O54HH8qIiawFsmqWoWVikfNirBXDZKtf+U4rFO5tbk9DOYZUnqIkvb7i14T3kOXKVUYtqrQI1+s9z3DtpQG6nQGXpmD2P1nRvqH8SCD2M1lSup0ul9aUW7am8bJ8HR34dLISkzQ+Q549YT1+ZUz5y08Or0et8w6uL5GpmQdIxfNRUlw3UOs6UTrVcGJpKFpduOpKqsbwnGYnxTRjyKInMrHxmT6wJvQ/Yt2Nt/EeKNiJ2/6iQSuoCRdIJH3jE+vVaZ60G7mK77rADz+aDMWkDHwxqV19EnOTA7UVmdJDDqWgCkps5ixxB7grNfG1pvMzKUvzvjLbni3QmmtrEzClcmcB72EOvXv0K8ErBRwTvE+eQ00npyg/Yp3eo6IgDxsNDeyVF+4AFrFKIKQpJH/h3rxz0ZGNyPGu8nCnPRfQArkV+jFanGBAvAQeVBWqrgfz1LTPbD84m7kSCj85i/KmvjH4CtrADvPK33MxzD+09G+B9WPhesvmRObBWYe80cbLJLa9N+4TBs2PEIk4VfDpV54/5iJyq96AqTa/4imSPb+cObXiv3w6uvh1drDNr/uJsfp47ZjcxvhuvLnnZZpjiiSFtekI9OZCjYvtrFUqB4zY6RWgBLgc4BIfYTQCz+F+Cq6gaHn++gZkV3g8OvrHdjM093bmfgOHCgu62Exf7NYU1kG7SAZ+3zsXUndkG8OD2ow6U8XCbzlCbmbVEgk0HFk5l5vAb8J4n4G2LRNMKmPvFKyEU22/p2Glp5gBj45WALT5KQM2ti2FXKV6a8/tVir2brvBcQ3mvw9Q7PudODViz0LOINd2MzoCEnHIS+ycLFGFMhZTLXrr6ddeWQ355ywGbnkJ1OsI7Bm5ksN6bEHzElrczvcqp1ow400j65AIYajRnOYe1N7PmPyKSEjDWRurPNXXV8VR8QgxNRsMPuGYbYec1h3hz6qh9wP+7poVeUsTf8Bo+KufzDu8blw7OAFN1UKfttGtbXpRrGsOf7aQAnCNE37pylFC7253sl0xZaJ/B5wXu3VGhK+AQYypeXpnzRXbmjMc3NepwjuZLTeUHoBFHxhOj/bt9dH2fx62fM+alvY1TioUU0qbi08n7/tqEOjjaOKFjstJI/ygbuLJld5wBdoygbnd/fZUzZXMM9fKQuehCC3U6oRYD1/eg/o7AvTgX+gdqCc0d2TENvILjIjce9p1fSIsfcTS5UL3mrCBfqUbf0vio2+0z3UHNQ/rZ8Ned79yeCv1W2joW0WZVDDtHF3LrZS6o9X7FTnMHfD0w7ufSeO5BVaZD6MgQMJLRdbKax7lPJtOHWllGM3l/PTrSyTs+QF0icvcOuAfzFydS8RSQFfa4y6fabS1+Mb6yGLgKMhoGWe3IJdUGbYTucZVHeFY94ItfPWUW8Uu6Eiil0pGQB5kbeuVg7onRkffoREYuT/ylIz1bdCQn7rIHX1GZ29OjtHkkxtSjLr5kbgN4P302jnYpSgSxdN6wrdGh+8GA7xRVWtLGk2v7AXicYTb3DSKiijGD9TxJ068CWPGFbbCFu8b2TxmXQ8VkryJMc4t0dbTkYsBQf5exdPUenoelkIafI8ty5CfRE9oU+w2sUEkMDurxBrgQNTrLkM8lDzVhjt0C1vuryzT2N9mIM2JmuywvFNrHJ0Ew5XxSKwLcoS8ZB2ge2UtpejoL/8TXBN4jh7iTce4m90pPA19bn4qtdeaJ0flsaSc/gPOiSkwvLLqBPLMaPbxsIF4atDbwOpc7KCq5ArwGXyo8kXJpZjjgF7aNDqKAMs07dakt2WcDWjmVZl05c/rniamBuajIebJQZ7vUbvJaQ7vRRusXL7zz91CzeQP8o6Fa1C4RwEOLU5E9Fc2evMCO8WjmFD9F7HcGI2S9fVCh1xPLtio3dVgxxZAbAQPOj8aczbnqQ1r4NXfjZ4UfwL75glotcsQ2aa8jWRCU2T7FCGqf295paK1nqmOjjQQ412gj7VJaAo7+TxsJ9vxPM0ANYplVhTc3Y/JLMfVBx/5hfF5eZ0SA7UvZtT//9avh4eAsqezfl9SRD0mlyOOklLrfSFbadOQru8yoDrchtvGuclQAeXpDNY7yXgMfvVlCAKdCoXd0dQjc1qH8359Psbq8mx64lhaQK/Tns+l6C7BsWdPWlh1Blc0TUaAqcyefoH9earWd0eBlY+ufe73JdOJBnHzBs7thyNssXCb49XGGuEmBYeLu777Sxda8NoNnVWh6o8wezRw5G5JIAHY/x9jMxn4BCj5ipq+C+gB2pogI9KCWuQud9rXLN6LwZ8jFayM+V9Xr6lejME52auytE/s7S8lTR+/OobQBH2wqCtw5VuQcIjdn6KserGcGtQV4rF+68LnjxAIcPUM+jCA3doDBYaMiWQG2KYFvGS1+RVHRuJOl2NY8m66h5QuLrpJtNhBv9xqwcsU48ALgHH2SZsOEOELfzNFtHs173hPJRgQ1zOh7yR1weI+LbVuJ1saW9rKe7xokadoriFeJ+bBxjD7BOdCvWDZ4YUdFmxLbaEi8P371mbjclKOJN3wQ1GgS2F+NSD6UnXkZ4IVsAKzaZddsNbPOi8t5whhLgozqIXcgpxRTf4Y1hJ8hFHv/u0PM8q3pKfjBLq8Iw1MTeQG/zEcz286j5VE95xvW6gPyhFXa/+xzp3NatIQiYPXW3i21TIyWAQuAO+XGU7W91pFamQ6Nx+a9tP909TfUTTengn8T08vj4o4B34HvyTIhS1nok+h8M/dstH2eRCdG7308WHKsnC8XG12p3Ttwm97DgUrzsAXOJ9Mj5Nfjc3uXzC4F0q+5AHbe3QAjli7w3UsKmBWjySMc/mx5ZT3oO2C1mJjzDESMP4PNjZcOTe9ZxysZyW/FLKv67SlWuhRex6JP98T9yczQlqz9qrrwdVb5w3spTrz0xLA43PbDKsg2ZwBHB5NLHa4Pa2YfXGm8CLQ58zg605Ta5Z1Y1l0FzANsGEIGXKC2RULIbzxMK7FkyvrGKVc+QAy8dJZ+lOCbw6oOUJ9P0tlu0kGGGXwvRkkMOeMO4GtTs62uAM8dHWtDrTb8zx9R/pAoYXz8tIE3hU3M/RObb+Zc7WiFXmNPp2yYVza+fKVnCzAXVHb5XUWf/3kliYQ10W0tV6P9RXIWZ89ThCvATDyFPXl0kq/jqiB36R8SIuD601fey6cIE12LLeSXFjjvfmVQL6sCngf8/r/XCitLJzIsjcfWSSLfS7naVABg6ss8A+/fCeBa2Ug+mn4x2mFXAGpW1Rt9xWlJBUkg30HemLqcSV2HeKEcfWfO4uAe3cWgBfClV46qoP72IuYlF9Mp7cINMfOLbvvNei/kfbsBvkxT7kOcL5dc8+LMp5TrZGCBlhWfsrrnIY5xqwCbZa7MTT8ycIddtv5bRJdZUD//dGDOHeypkV1P+exhe7rkwMVLo2M98OwU7O9KoBPgHufMyntZfNly2BLK24I5+IFXXMLnj2nXe6foZu4UNzU1Xry4xUMi5Kg84HGv/sNEjW3Gtf+WWvCZBsUaS1ay+Hevh816cJjxWRXY3bvYSWbcZR4f0ARc7cjX0GmgeuW2htqYWVAHdlWEMECHo7S1Obv0K+f2PAFmePVvNL331vQ3h1jJABztwYvPBX4XTc8W4K6iEnZ5LoBHOGQ8R9mCXaj74+fSALYjgwa+O895kPzUXF0IJzc64mMz9PdzJFFdZLYMX5q6s39GKDJ6TDjeb2iPXAJ4GzDBhhuvYd4e2Ir3AK81PJuPnMoBOGAEezLhke4Im6HGcJqZBl/Hu/G+3JwLBDVqS0Sn/+sjC73XzKPxsXVMH6hitoc18QTK1nJAgRogB13mTIU3m8XocXBsixZJ3BT4BK9LIE9UHOnvxkap8ehKefuRrb2Zz+nqsRWcJaS2JsIs/tLF+gb8us9XqaVBQ05jNTbBpJ9n2PYT4HREaW+dkQ/Ywt81drlpfv1I5EIHslCrgfrxy0W+uXXz0kgPjfarJpSLCgg8zfZYj3+a1ZPxjfqf9s2l6bGpAlfpoqWhwFif22+l1Q1+d0RBrunw9ShZ8uvLqbrQVfnWOlFkN5B30mEqxWV28Ah13eiUDMnE+iTLOvJ6LePxxJiFGbW4l3W+lLaczExzzf2EcPUtGNfnSN2lpQ8Zg/0XEJfm8zUXbdlYeGQdGYguPajTGWfeSoA7CKg2kvu4+vXDxK9e4r0IkjBFnwvRJEz7L+BbvATMZ+U2N3dyQgg1U3geLDRz08ZvEx/TqD3SFQFHmA71mExK7wFXLCMb9LN0VJZZiOTAhDlHSYP+XovK3TY0WjPnGP2IGFk8RG2z255K4Bx8REY7zYV6Pzeml0ssCLBMCtzRwyuyJWs9zG5W7pAWuHALeJwpwC9NpCbgwfk54Az41Ov8MDSehFmhf/LLvJxDwoieJLfllbqfj8qdKqPXUJt7wihxaL/NSD6/pQPwEEfysyaHvEMfcjd/cEBkBvtmwvTFcsjT2ZMVuhBF8n/eVdECC63dClZYRa3Fekka41sWJfmJkRCS54WOEvAaB9zbGn1Nn8TT8xwmPxTWmodsk3XJUUVsOXFC6CCDE08OkIO+covZwK9ffHmXD7ZUzrwzMxbl2FI24o9qzMw9fAFY/1Jftq5CpfEXXiuHC+A5D1bAbuDKrRhwFDH1zZBkkvF7bScdBi4IudI22qHYYhtmo1d8HRvK7Zxxl4dTDnVo4iLxoWaEwKMEcIMHsaYRcMddocYDzOGr2Ac+8L5iwSMcbXfGKwKeN4Ln8qydEHKGOhHN23NRmnobAAZ4naUMeUfyTOgj7rfH0p6M/u6TDCnENH4Ah3Qz2k6wp+6ct8L0UVdFcmgYT0tYi6rHfkmTUzlOVD23gfGXwtHcqzAJGPAevJsjgD0vfAgfCQcZs/szUtHvnffKbewmgHs5JYwHXMvbf564C1GDJ1VYwh7wEw45n7naq6HQqX7SZcGvbCBGH3OTitYlod7xYO+k4v2Fey9HV63pihHwcNg3+Haw/TQHfJLqFuOYGF9w78TgnwiyZYh8GS4PoHuxqTG5MyPCvOEktjPu27c0kFr0nsBR+TwP/XIOmM00f/W0p5DHN8bL6rAy93y5XeuifBCE3LOYT6r32obLiPWPTYr2G6HRTggO+w9idUye2G37Gk0F7/D3ydwhav07D/TrRy88poJ0rfjLn2geCMcI8q7/e66JAENz5DOUWoAhCjFO5e/dWjRZGJ4bAxzOQp2cxy/TS5RC7H5DbgfsqAGffV5FYCYRlhBwNDALDXnvcceR/ert8RTqr8xql/Mos7zfzvnINjIiK139u+mFYwHiZIX3y+yQh0lh+tYBX1d4t3XqwdN03S8p1btUePQIeJLHbE3dZOJmViNMXGmT133lUdl6BQ7oVU5LAGPfGrHdiGjjnnuZ/OeJNu2r4XOtunZtXOCM8O88kLvj2rrA5XuIX8hE7ZNc3h8nhlvgGSuzbJmGHPJaaBkd6FdNAX6wntmyAh6nJVuCg8X90nB/JjtamL6Kra5tMp1CeKoBd2vgIJh5lBaN6ZW6pZzwfGznc6Q/oG46CnKvHPVP1pnzclghyKX/e62xYRqlEP/cBW4Az1lpJJkzzWlkrbzfsoYmRndhlxVEAE+9E9ijgiZMosnOLdlznW5I6GXnHrXASSCfKQGYLWXOu50xTRqX/XlJVMHeZiZWUHJSTJbw+ZfGAfwJePzw3HrG2ydzk8F4pqgo6etAfVSu7oCzPSlk0NRagBuqsoZly93p7RRuW8C8e47I29HarPDar16RErhAQDr1rQL9bNbsCZjJh2eaAjJODs4CRdvoAC9BrflHCVyJIR2YPiHgPY9mNbO6aObr3q4jeK/hdm46PB3XciND+wY8MGD8T9fRqnm4lj0gVwcRVaClZmjJiqSUIXmYuZVGcMmiKcu7pIMa86upBTV/wr/ezOSDruGTrAhYtdZ87G0WbmzAPV0eqjz99dZKXpzoi1BsMFuURvPCbeWJqE0blBr8gnkfLvA4jYO0k7n6mjl6SSFiIZ4HHvJIjYkLz2TAg/FcSVATowjq8KUUZq+jN3jWN0b9lz5AcoB6yoX6Ltn8VlH0AZjE+LxPpePFpieqiff2wW7nuvhn+JSWPbwm0zeDgXKIkzzo7yyQH5Xxb2Lb76afbWU8BRHa1P3c15DDX3u+Mhgo0H4aeUUV8jyN/cO5aGzlSsCAZMe5/126/SOH/ALYI82Zvae90T4FLNKRZzoskjjWo9bZI2OJMHmdGI+ZVb1Rrlk9LK+8MVQI/pZzwM5kPfe3TcXmtKLEeKoF50I5NG7xf96cMmhYeS319Kxj/1L30gYu8WQu8IneaAepQNo8aOxkopzkdGwAU+GL6tX06hXhzudDBf+sKnpflAuEfoTdbZXAGQDvdYmlYnN+vZg7P6M3v4HY3ACftevg37WO1Qg58ERtDLUHQ4zKSgzbRCDeAXbZ8QgwQW+/uIMgHXZknC1NhObKaDVReSCjGnP2fgdmpXPWusZjmgIrrgRO0rC952O5Nh160vHLhlzyUY9fLtXN87DqjehU2nQJV46neWjEVdCrLj8YS8ZmwObOJufD9DvbDHzKxlHjcGc5lIXRrAas1StECvkGeX8Pdf1O7cxTRu+ZIR/w5zeOvLscExs72pbPuQMukOA+c0+ifd0hAhcOFxoaj2z5BG71bWZpWD/fONc/vEMWc3lBn1stfjsPb0/ggxYr2jizkXWOWpwBly+dacMZ4DCn7fjq71OqCjZ4I3Xgb1H2eN1xwIIaP5dEislKB9uq4+QbakNG4wn/+pMYPa5VG92Rj1+O46A3YreV0RssddLmOrnTnhsfOXjGvxpB1tHifR5/XqWT7DP7NZ8yx7AbUkzRVyPsO+xz4Lwtz0PZnoQ6sXiCmi8B0uNnSRXk6Tk5Fz7sfdv0XLs5J88ctU/gAbEQiJ5CPR0d78hd5GWjP9ahzbiVvPa8ZHZ7PMW6SDvAT5TvG6pg7eX1YCMN8eIL2BtcSJoVfGf6xjjrn83oB3mfrozJjObbUEUW5LL0mSKIv//Oh5e0mG6yX9ZmRP3rXDQ3Xle9rfMRfdAROKbwYioQcGAvBIwmIV7ySicGt7Uy5m3q6FPG5lUGfnwO5IkO210JWYpE4aOK5iS1UZWGS6Estau0HJj19dqH8REyinRQl9v/XJ7fNucB8gqCWF1biPnmDoytzOx2yvge6pj3zYdEHiwPopzsmiCJVCzTKrJsHPNrXugFnv0JcCU9Q66qxfx1cP+vv7ek/mL4CRHvSyN0UQcJ8F78APxAcg2r1yXAQwnkYJwCL75Khr261/uqN/fFHPhA8oQ62nMLPq9GX8Cpv3DXUsDfN+BZRFnz6ywFpX1oZyK0VI9lDjyHBOnSuNMpdaZHzbBdcUDmo/+o8l/d4Bbw3AVCKkuDf67xDWiM59/qzwcHw1uRRzrMCA/2nXb/7oAbaR2pV2/qz4lJrxLyUtvTjLvenF9oeXm3sZi+1MpJwyTBbOmPjjQ+TE4d6LEs/E4J/Mzy7UFE01xa2jqaO0C2TZvLdiLOzZxrbnC4pNidXj2Bdq3bJ+Q7wKOfG2opKWLVA1b85uHWbVYNNWXKgAeztPM/GGpjc7YgYtyfY/IoIefC+7qavppqyO7YluVx9QWGHH/uAa0PsObjn0+xDfj+2XRqFWO7qYbmQVGSAg94KqjBKZqE8VWHuN6VfHozPmJ54PsSMKDkoXum5EtEeJYDuqswe/AeJcCVPEBkdzogD3DdTHfvfzqBGP7b6NOotfdSmm4E9fdll/QyLh9Qq2VtmZ7Ddqf6Jc1G9ZMJ2DvDdgEc+p1a/eMUfG7O+Wx6idy6K52mYLbx7FbDnJ8pv9bRqxdr9s+mTz3ADPNykwdQu53llhfG3xE/ZGTB+nLI6QrQs/FSn8zsxZoOyQfU/AVH+otYyVhaU1gVEE+hMvNq3xIBpov901mrDxIlPy9scwQehQf+TUa8yW3gnYW0mzh0mNCw4ugrG5OP/Fd7tv049/CaAPfT+Fery2jyQCyjFfaNlfelJXSSnCPb9GHumn57TUVpHxz9wmxV7niL0a4iVjvgoL8eLFsb7lCa+IWYJ7Ffnnh6P49twKLSFvSf6c0PSdSO6dqauR3nPE7fojfaGfoJwfiUg42ODjkI9rgKnrx02h+Ved/rPw9yJnAGOeT9568/EeBQB+qs0RkZAKduxKDtvCvvzXN7ytxyqRH263yOzL2TGtNn2S+w97YrPL9rVbRBtqb3esgMj3vNwgDy4hPwqlWOBDfd/ppTFBhNIgJ8APjIpqZQg63Z5c5UNiKz5fCwcYHaerAPqZ6q374NDhysl3nDvFxFfGZoinLOAzNZjx3v1atPABN/N9xHB8B/uAd8TREgchRDTNPchXxi64Vq7GSCjJT6B1m042H1CzmY+YNkA7kUE93maU9IZTMH+FdFR3KA9f0ATuDK4e/88CZ0Cfi4rWpuPLF7x+hfUKs3z2muey6rXnqKJ8B/kUuBg0mjfR2SDTW+b5H6aQJ+Awx6PHPlU+HxXNiS/p6d+YZ/9o21fZ3BHo+W92Z8cjBKuIS9y0cyKT7tqPn+fjmeEWKAOxMRAMYAjEui1Pg3OqWWz5Rxpxz9oxqSQ+b64gw1qbLwr47x7+ynbvvytzvi97Xgz5Bvzaw/x0eps1VwtRhNdsnbksTyIxPK+K/EHCqsDNDbKZa0hPxd8vYiGerONLT5Wi58NQ1RrVuz6eMc8EtqT4D1dF8WzQv3Gj+0irmI/+pha3N2jo+ZTq4QownVCCCOqZ+EpsLop3g57+28KpI07Zon1NMjC/FOsDkEPJ1BTvnOGFmBA2Iz80PNTHUxvXR7/tdzyc3c51ttkY/Dysem8Ms8Ir3xtZZuCVxJBSdkmDD6SB0UHJ9btx5K61wwB/jvd/rcGk0J+0yVr3YzlgN55HH4gBzzpuzp735ZUqNZt+3LngdZp0OoG8DXPp/A97PMTkYGvFta6OsUtKFaWw/3Uw57FSmxeDWH/+bJsUGNk0dSy44tTS8fsL8SFibrmcpnDU/41VNhvNzqIrXP2niMcUcUGle98nnAh0zzCSP0deY8N/MOfGi1iOzDr5cc5YDh7QLWq62d5dgA/lBr8nYuCJFB6NSaXat+qhqAta9YzoqJ0BH2XeF/Z1AT6gD51aiJuZus2RxVgEE5QhkNQrtyiYsF4HLI7SzWmNtmslwOmeN91Pa/a6XV7hy2rQixVYV2f7TRjvX8heejzOIH6XiBjNuBM1zB642VpfZMtwl3tkcu2pgMBHLqJJjmSckgb/TeN9BNp+qteyqWi6I9cBJ4vi7b8J7zTJergKqaM52cw+WFATC1/bsYWkYHfYSYQlyTnvUeMqKRJlVVDuQD+APr8dIU6E5dvJDCL7jzvmQjp2JInhXE1q/vgSBvTedTIkhUDum1Bkx8iv6e1wZq6piKxlF22/32Q3PtAVc9id5ot5ZP5dhGT2eE3LuUNp8ABT9OEXfhcyyKqfasJdRg+ynDeVcNpQfxzYGrAftCX8D7esD/r7PlLOcqZA66krFfuCPbqpBGWy6ouP6QLmBvqr6Aa0ON/1oZ4Ec5TiTjvBewZ2SP2MGyrtxqFhLaLS/0Mx+nudGJ/vVpstsSD+ELYzuYtvs8wB5jt1XGssI9KXLgjE20HUtHwjOUT+N/XXVJVA3A3S+3DWA+o/VxBby6V4L95yttf22aTvZQC9ezmNfS+DCv+JCt6KV7YGPaLOWqPHx5f1QOH9TQfpVj4qjQe+K1dzlwlJRLoAY6l6s2ule6Hj8XfNm2guqs6pur6UHPI1ydL++b0tF5XkxvaeAj4+2gir95ojCjbXYKeKEGmQhAIWrYBsRoE7g6ZX32OLqJy4FDwR6E94zuFfdTWKcbYPmR9QmiIXFOkXbgMS1U4Dmj8q5ibLjpYrRxm1i98vxHHicj1V82YLrvujDz+v/M2SDK48w7UaCNI4+JRhsy8o6E5f08hFcxTvGp8DMaoQJD1BwtbTQ8fzVDVVB6kuIf6ShiesHr+DXHMVd8/HpWRbmRPfNK24d8NT0axg9Ha/tk/QK4evvB9OeTjG1fuRNUZv1U/edasi+bmLOOteVnluR5ZLcnwE655T1Eb3zJpdFZK1jovc4Py/wySwx85kSNB8sWnzjUxlUejvan4RxJLuZKmu5A1mxSCOB6/OfUBRKVnrSg7RO7ZGwg9jmSU8MVa1acl5ybGeYw7xeLW399RK2xHJYr4Hmx9Rqog9SdNnn0teChPTAn6Sht7eoC/DnaDg1NHPych5KWDhbtQxTtph7JDzV8wvrv7hQwhk8g9AnUWdFv99RaXnh+ZMxLcif5MffvSmvAq8arOnwImhzxc3tMnfLO1vYIWFMbHw4Sft2hzpg5HYeKbVAbFW2UFEafLQ0Q1ABFGrdxDxahpcC7dMQvfQCK+2VfrRx4o0YsDB/5r5dY6vAOPZuCL2edPKlWSx3y11nOSkPpK/FY6giX1Ca/OLh20bWGta7Ytuexn7HAKPrs3f9vXs9PNeDpVbNT6GGIqW8zd5gCH8+6vUX6+Xhw1Z2zhBtNHOD+vRDtnPVfgN3bAdZ/gf3pV2wyXrBQixoz40TlCnm0V0Yj/lhxUv7vtU4ymmw6mKnb+Z5aUFONH8QK+6NIbrlLRB0tLTd3XkIRamuI99ng0GNpdPxhv5n3DT+b8RC9MaZ/GPCDynALhr+B75g+/BfeeB5WdOH6nwefxcwktsppd7TDHbfQLPrZLwU3mgcJ6dEXQ2QyvjmQ73MqVEX4dGjC6V4/57bs1TGNbA/yS5pSdWHmbCKc10x4f7r6zQAVrAjvIuauCFTXDDbGnXriWN4Pjt1CNdwYJ8DUkW+5PR2y0cwq+vca1tK4qmRcQ71VGNb2Tlz+BbzKzVjvVgOJKZMfgCdfmk7/zdGMyOHjxA6u8SeCPTCGNuBwwqiUtZ28Gd2NutPlKZAXxZIO8jw6RTOF+jAR249xZHoV5kMT+0lmetUcnFIOSJCqCAev86jZOUNFPz7nL+UifWbkW3Rc4tDreIhF7cwbxYxWJX8TY2rJXz/s1vBpz+AmbGs37fEMOOF0Hh6LYKHFIpuaWM8so8Ulf7g9vfJGB1zm0az8w/TvAL7Y185mgc+1kcJzjyYyB5VDupiqXo/wfBJiJ/dmbJwKTZdTaA9knNJzZFnpgCLm7pcMEEkpbJs/t3nq7O/mfPQ1W2HuomE3OWRIetWrDnizDZzgB7j1R/OrIZdeG/pp8RGbs0rMiinMGD9mQ+kqwIEqWtbS5d+wB3ts8kmHbUpVKKNkZtHeAz7zel5WPYTwHNkdrzJtwm2WdfxHMBVkHC2w99Imwt/V+vkEfurXMfqGdf3+vbPq1bUc5Ib023tl4zw1PWNDa7TQrNJ414TANxzAZc78OsfeQ/09HmwCWBOHVbgcS+tzyYfQkr106p4k5my4Wctro/VF5vMiALfkDN9IqCvlSJr1yfO4lk4eqDvkxxJqQ2l0fhvRWAR+ChnJ3yznGWVLTT/hV3LMY6Pzga+ih9oeaMDuJfCQ/YL7bQf8Ftj91sZj8khZChgK5TXkXNz1S6P5A+JS5oWC9V3YOfQOVEO09FAFWPa6Q9wBFhxxnFS8b9HR2m+YjT/I5d062v/sbCDAW/gC8XtRXFcYkQRzlTLBbB5pRKP3R8n9PS7aE4+AS7i6Ayx+MH20wEAhlyMrs9WfXsqZzaiKkYTcexc9ThqmSQoYXXBszoIs2Kc5HZOqWYGXxSSCGmOeGTo4W5HD3syKtjP+yeZMvXbb7HyZM2x0lyLvWgLuhdz26o/61ahLrcnoyB0gp4x5ryYiMK2tLRHMK9I+dDNu+gSnNbMzS3blA/j+T6ONpzguAYdI0qGrEHNi7qUq5vmwSItyAUd3mENufeXeD4HInTBrc3jO3jnQGzZOm8qGT0AzG57rSYXtlXWwHqFxYzU+bdkDu/KZWe0dR/ijtOYvRonRXTsRUW7oigG/AWZeyZ2ufgr86PVal6Zr7IP17jHEA8iZFkPJDuJqPdgJcJHe41p+1MP0ll+2Tro2z7KX31mXQZzIU+Oqb7q72bT/9RXdlK40/oQ+1n6cDzhKV7wYvPTiX2qUsrEVPu22TjVMjtEXOedmZolrfLld087Ua19QS10bDvic/3ueRzOH0Xq0QPPRxdcmmko6WNcTMEPg8Pi/szFyaXbbIL3M/6f56QD/oMB4bbShlmVXVvLgcRIdjVf8YD/wICtFIfMPmYfzOcAue5IBODxTcwX1CzjbLJ22Mv5r+YoeLFw6wAuQQ9q1cuRq9BJefbB0VUb/4Ue5qj04vXd4br9rNGEFeSA1OsTDfM96ZZNoklXBcROpt5ItsnG2Cw3VVy3UKTVZKk5CZk8tj9Aj5erxuw/X9qdi+HUOsMfhgiAeqgZJq7YS78zVHvj96SxwIfvNqi7bAPJXV1lLVjvJ3FiTmzqzX8UqNfXInH8Brov5QID3bh5131sHu3mkoQLcyePU+dNbrlhBULPKTHA1EjeRItw/z8N85Fbo5mviUp10tQM4FH2uqvvn5CG7UmBpFQU01S/dKcrsw1qusAyOZNtfbn8OeruB5w2xStP1TyOozEP8qCzIuRqdqNHBCXCMu/JqNLX5gCo5lk9sy825wwTwl1cz3qVrO+AwwadwyszvIlS9RNOBhq3po/R+58kCvDczJfJPV+R2PazJ9eAowBkcar56A65PM/HYZBYCPqBXwX79QiKgo1/AMKKMAZJESqTC1iKUOfDKWYz+LIGnA3cf6lXdII+J3PXz3CZXzLwXN2ekaEcC2w9TeD6/Wto2r6hfEgd/15FeGfC3UmyPtaUmChCSFBOrLe8n1epoEFDe+b5Apm968k+7OcfAsZWQ32Ux2QSi5hTOr/qVlsJ6il/u6MWQb6qSk6y2so0K1cBjdCGOtnFIOshfx6NlG1/7+/801haIwKnk6gZ8kNYDYN5ff/TPB3XNOfM88CD0yp7/eRQC98VihE0ewie3ExcHek8Ze5AgtGWRLtWo2zp6v1aiDfJV/1QW5Ds2z2c0fZEC++yyLU9I3szcKRdzWDr8WvJkxpH8Eho4ophefbCmhcwjgDEgPtsq0hg4tg2vZ3TmUmk8ODpORJTAHniYO9CVU3UUY3LKzczYyCvgV8b33fSy94AFbeUSChgirkO9odG2zHfzS5/NTm2VHq0Mcs/XRhXarikJam3ODwB/aOYYfMMZxNGqVsAI95Lxb9pvJ8hHU24nH4S2hDDj1W04gezOgwwhje5pD7U59u/58NfnMDdM7VOEPspCOiVwjPOAjzl8m6LG8YzcSsi9rLccFuoP4G9d1bVvBys5mv73s+EmLrZ+9zgi6Gw8BN29JTipJPfNvVHc2OWLL4+4k+JU4JKsyGdiO9ZQT5hR+dNfaxPIuRG28ZufK8iJOedjw3AJfH1f9Z6bo8TjDs7OVEPc4iA1uZW1FHhjJEPgqlBH2ahe2OYNO8mm7JEN+R/wmm+VPSkyV84y1D/ngkS1nlA9aCuncmP6AU+0ZTKWOXDqmA3aeJhVZT8BPvBPmKLvX58LMZOKcQK4z1yHvriDILq1yIgAqyR2VQB2j9uLQOV/Pcz8f1p9w6RrsaT5kHj/aX1s8zNELl0lBt4bZcBpTujf0lCIVeAruaVa5pKvI6w1Bw73yodCcA/wQSaHZVchc9bJNWDJDePTsQ7xIY+TD2VqQz77ZEy+ALe5jZVuWIGSpg8flG3toz1NTchPnMuIIAl8QPok0hpqXgg16nUXAHHzCTjOToAz/QB3PImBJziyk5zJDeQ+t+nICKhrxyx9UhzfIebJSQAOF+Hm6Ew/2OSvQBdqN3ekM3vR2+MYhcTCgLe2LenbF4e9Q/y2memDQNyTQqUZ99tmeDd+aQvhZGS2zBtNwrJLLMY4Yh3COWpzPgDeLVTMhYKctZ2zfPtNgXMbf9lf/7ZoOkKeO5wYeZ1veLnYhixMhoYBB+k0gap3SCNPVv02wkhNnJGS9JM5PyyNT2katFFmPa458HjJpg+COFbUB17d2nXfLPD1dzryDNu+8f+bTvxP23kpKZfUDd1m9H+1fSg8AzPrI359K7WZMZ8AY7ZQR422GJER5iIsPeN1VAFOyi7bC0GTzywv4jx9ANLAJWCoiukjPAfjQf/ylX7UNu9T26dkYL96+ee4ucvRd6X2ja/Ud77214oDxujbAzzzazqGK+fZPbMT3PR8A5h3qSB+T1GSQo4s4HtGqAFadrxq4uSp2Pal9zXwyNawd6NzOBtdwl3KZopp5kLuvcs4gxygL+VlTklf3oGPe1DXndL2HWCvLh3MGdL+no0S8hQK092MABuijBk9vqkFJC5S/rfnb7LTNyHstKLqbs4LAbuUwpwnahJAXI9q/byeWfhI1/RBKPJyyAfnuHTESJxT3PJUy6fqYC0d6wr5xD+s7dggxX59YRwz1yNf8ylLLew95vIh8u2ptLlbjihgwxzJgEywjhlwJchzKK90/wQs37HdDWrSZoM1DnPAKHl/u5dWs2kE+sgpiSoXnrn1663pltrM1/AXPgT8R7LS+N4DZjL+rXLg46lgazW0GuI0KNk7PB/f+NAnDHg9szivxDzzwT6Vpn9k3T+FTsoUyQNw4xne54fSBFYEosGxAZ/OL3z4UY1J3MThEzvowEJ8hXxh8R1gHuHB2pO1cVqUaf2TuW1VD8AXhrk42lJAfNFTtBhfxhPE+hu3JsbZzAVg11Qnc80zi6/czMi8tD4edJDlebcNzfmLCvYu1KcbL4Dfa2k036sq5sGZJ4WI9Ak4d6bsxmDIiYXto7S2wEPbN6JTqFyaVR171lA5qN0eSZEIg5eb9d+fzwi2gKcESQD4Z+S6PQFDsSF33s+AdUTENYuWihg/uLH9IJFK8kgORlkQD8nUON6tGtsO8L2u8vdr7ZZuHukg7fQAXCYrezvG7tdL38ZuYo6rXm/UqgaB2jUdvAxwwnSmoVeP2uYOsvAA+ZvrgPT7hxAb42sTK7G3MuZ9pLY294et4r1Hh/fFaOEI08s24EduTwtz/vocogpNgHXlpnLwT27j61mQDPIWkZa8K5QcM506lY3+8/5gsM6/PfBbLfr5TlaI+VCKXLSIh19LVvgnxpb2JJYldWzg9nvL+Nu87kaBzy9GGxOv4Qp7+2n0cgB3JFBP50zMp1OcyDPD36K3q+OKRiGwTRE6NMPSw3uMS4HMneVcDtaTDu1baQNSdryEWTPlv3OjS/paQykmBz/NbOveIwghKhYsHVwQeI5C/HoUSIjvGDDsUtn7B0XwdX0CfANZPOKbgx1uZMiejCLAy8nH0WGAdbcY9+18gNyXFn/3y9ec+j/wvntmEcAwgGgc4HcRjzOx/Tq4uOfOwzlYjUXjvdHtuTRoeqTUdyABO6RoLHNGhAUq6nAqjCYIdjk8lxbTcD6kI7uX6985wFEibfpKblDThdl7tNMbEkn/FDQPyhO/CZKPc99+nAf13Ty3v/1uSmyLKsYYnudPE+FLHuobgVp/dKBahuQu+/cn7veA9gg5sb/z+aK0bBfyQQE4BbAcns4IAFeRPCG+OOFGZ1v7taMn+HXPHb0AhxRHG+8OznanwgTBfvjmtl6rTvqVpYw+IJWODbkT8j7w01T86ZkzEoYei9LF9O3++npE25MAHClCu6CFP9MR3SjsQ9yrexO2C6zhfxolg17yQn0A9k1Tu3Gqfv4CbHU7Q11mMT5BvXX4mOxk9+cLw8quTWSPUhYD4zN6sJS5gL9WUsivoxNCsKVX5crTOUjsdOQHsdv+SC5jBRjmVExf1Jn5wQFOMhDYM1wTqvvc7a26N7qWwOPcl3bfzTs4aJDRdv/rOUBRyRycZKJ9y6OtgGfD8bDwXy04e4rr2F/MXO6vd27MLYj1qWFfDxH4ay5UK8Z/dh7eTL/BRxNkD6z5m9L8NTdKASeTGuoxrPVK2AJcTj8AM3DgNIz1cyiAv5EITWmIvtiADpk1B6JAB+BFIQ7avfGmT8P9CrieQx7MqcBplW/fgCtd5W52a5T89epLm29EhACjfXql5aXAD291iACnkYgPum1CfMwcg22Wkg34wAaAHQx9U4e/YZpYdRR654g/S/rpUjE989DrT5ScVD5/c6g1gBhf/OtwDtS+YjY5hwzem48xfAbAZXEaziin6AqfNSRBu5MD4B3AnxVCt5JNS24tLl9RX0WqAl695jGJz+HkAe/PeT9pox1Xi22Sh9sXJ9rkVrOWIzlWem8dbT/CgB9TN7FMTzqL5XAGLAX5vqIhsVk8ARspH6WzvWbmbvM5r/Uwuxll18oqIRfbD/iMxxN87tKSC9R7N4V1eJ3p8UimwKckrGPIoWYajAU4hQjR/pCBP8iwnStXxxKRBzUz3726ngEXK6RxHmDM2PZQu3qpHfsO3KOFfRXV697OxsYGDPldAf54ndscHV1W/J97DpgnqTxCbvaqyzaqo7ZTYfs8OIDnKfDMyPIAU2/YQOCzmp5a6dQU2ScGtZJrt44edjVMCQ9UgJn6zgRwCOBwkm1fOOqYOviNjtOQx+xqzvUg6zpquAHe8wqBPp+QL7t6gNxSsAfTiZ8P2/Yc6ePB4Ws5qJuKpS16wAfCvlPWhkfr8UiDf9cKuE8Tqz112OvOFyt3+mZBeAVeqWt4ZgdHGi1og/UOfFSlHPByDvD+4Dw2dT95IsbacBWIlR/AygduzRvT71Q6mEjDM+G9/96tPmHfhQ8rHf56U++Vkz0qtH9U/4+qd9tuFWfatk+JhcmIN4NBYGzkILQA7QHyCAGBiU1szNH/pdmP837/Ro/RPTszNqhUdd1SLfpprAM8gyb+5THZ1WD/Vbd/1gU/wLN+n8fpUvP2wV1fgq7qQWMEFPx2jkoLr9maOsDwK7PPPcfAz7Yq5OMskqfpD/vK/ZbUv1Sh5YLN8qpTNuPJSfYbr9LTrY429zSWzin0ch5D3DU9A4aNqV2zgageKgLd5PoWFuzJo2Q5rtldudxl8B1EiPc5m27AV6/zqHsubPDjyORV5HVkP067rXdw5Zg7/2rCWeYkYVqEa6lVrBz0RnX5AF8FjgX2pfG5BbqZGQyq4KYuPKYhB9+qTX7OrQnfn7n1p79+U3Nk1tsR6DJ6tBVorRbYjtyxqwcVeUc19Nd0VaaHyy3twENGtjkv2uTI9MOF9x6htkH6O199UbPWBi1JK7AZYBp+BLpkkfybawY+6Wp6qwILuY1mTh3KzxyZ2STNXQVfNujeobbNbAv1dgqYLQQpMEoGteoWtJ93Dj2I7fulcojMh2kD7HmRfG+Df5jPUQvP4b1i5VuNEOPWzWa77Y72fAB9aRkGA61U1U/T+5iH2X89CFfTxwA0rmVmklW9gm+nrLKX+6rDOBc9kMI8gu34YB87Gvu4Gmwz3+R1Vnmpolmm4LOBAx91qNY0hJgZmdyV+UlWIuo+Gbgt5wqpJS16h/RIiqKNqQZtRUEPmf5u+Zala+/S77nL+6STsT/hcYKYsOTcmV76ywetD3aDx1TIQK04yjjsjgH0ZIcE+Jtf5fT3NEqM7l0PFmjSQuVqlVSI6QBx/gq+pMqAGUobB3mUVMRts4qSN1mAb+VTRazyr95c8fYm9L/ZoDaLLtbZzBaOEegeZh+tqaLO9MSmjtrWCVDKnVnqCHooatxEnhh8cYvcqhB062hmd5Ad7MUC/CnoTpKA/SBlZ5s/3tBJVJmcWUufzmJrgYZYOFIjtjX8HRzlKDnlNHkQoXeVNd3raPtZ2ckGPnc6d36Vj+SaIvxds62EmLBLub8BLr5TR4MPmsumyP76wYIt9U0+V9RKEAm/bLV7N9Wx/+sb0sa5SHLs8JYWX1fg2hQsogXOWOVu+0iLZD1aG49HBDOObNMHodGTJah20qEFPsvsE/qba6bzTpWp3V/p+vXIHA9YdfrldgJMpEdp5nEJ+Zs5Cjahr4HHriaPlAV+D/G1OyMdZpZNGSc92DamPTpmBfIUlR6w2lM5S6ss/apDrNiaHKX17rLI3AeDFtlth9S+3FXXVnncIlhzVgIyqm6/KUE/wOf+8oC51Qr7MEifIpZvZJifwIoxcFqSx+iAo+l64h+bjMuj6lLv5XvFoGcz7/7MbDsFf4V1Wx6d7F51H8+yIDvQ/SNobleE/MLEnDQhSoiNffArE2eJlzPin0QSqND7LYuEmhl89Rq6GLQzduDNiPQVU/qDS8Ce/tW8vakQP8uVeUq3mRwvpsY0zy0v/zcLk4Zunm9nXoAPoq3p8xLQyAPlh60zlSkwx4245ZKKRXJrC3uaMFWUC3xH/MpbzmNYR66e1W5+wwwH5kw87y8LdW6bf33/Cgnxkt1ZZP7b9riNvRSehwSoKhk+pjbnNEreUmtvVaYSw1FmPrzpf/AmYnRrOHnxYdiMUgK3H3jQvmUrWqnJKUbApOF+o7i08nFyM4bXislPYkEMpPKSm/7HDIdqaO5lj0kewbMihM8a7Xgv+8oiPonmRfSPZ93jVw/JIzBDp2j/AEr4lTTJm4JEpWDmbteG/b+Hz3pWYGO4aO91yP3GshOBGsfMkRYRDnOneWYULdSVGyHknVj4Sdy9U/P+CdS+VH3yN+NJ2v4Fa3+CvQe8vn/CHvBPiCflgJjUfGfuTlnPYzPvjjj2vhnerzJMHQU6mwgP/OTH8i+nffy6lmbunpXMmaUS04OYjcAGfHrdIQ4QO1wM75uy7MG4/sFaP1jfUpO3V4oJwT5KQO9fGmbOAvClzG8usaalsh4OL/QMesEFnTmUI35mBZ6wAxvO/tfP0vx3cMrfX/kbV+B245OfuZ4OOXBEbvJKnRmn0dyB/7pWOgVebQXECM3F+zVnQIrMckz/hlLcYLdLV2npZ3yaGwF60oK11griAUFk5ZEI9y+2eXALuKTPXGCRlIW4x893l3YKWJ0/gN02qTNrUyNLBzurQN/WvRbquYWY6j2AamjJTA88nss1hT0FcWWw38C/4FpnoM9wpAZ7/9rLeCBPapFWhcAIo/Ik+I5snHDutpvS1G/FoQOs9cSrfsso/yydhQHnrAR8fwXrD5xspV16B38gTlwKqVVGgy+IOvqzGtsV/O/LDv083pv7UbCN1JOaLVSHHvyu+4l5+LR7N7nsOwKMSULCQOF5aReCDgSvYG2ZiPdm7takIDoCP4lTtMCaTm7qIlASZnYYAbX/V/NIBZpciOW6ZqaH89yrgfxSDTzmLDfJp08Gu/t/n51Sd1qBEyHyo6x0uEO1/GGmtyMDG4k5IrubU1mcVaHaQewvQINS5fz1THMh1mRcoBsHLQ17LAVfuMEDXnGsqzT6178cpbDWZlZMTVsfvleWRlMso/n7HN5Mv7C7iMB38Rbz0Tc5Tj3wmF8J7yqdmRLnNcP69qTcnF2rDWPWlYX2Tq08FfqyAQ1l8kZ3KUK2ch6PJppPWQe8NO69NJ6eJJxuZk5e06uRFSZngbnSVh6OsyfQRGx6cKRi72Tf80vrPaXbUj5Ox8ZSYzNOoFnJmGrcs+7rYfwERuCTB3xrQKOYeW4NJRn4iZlEpKuB29X39tCsrZlVHWY0OTXOfqGdycFlj8b1IS7+5cF+n4t2I3s8Ad/taMQLGTDQfErUsF9KrZ08mt9AoHnKYo7qQado9qzZZQPP8FaB5MlAt5gazfJ7m9UQ+4Chq5on13QwM594Wg7ydZed1/xiZf3Swzp+Ht0WiT7ZlYxdqT2Zmo6wCompf9mZHua1oxHs+UiZ2gRgUm5fltKWoNXsysyTPaMevluylxF/kyiz06A0fcReZw5u7SiIh5hXoi2Vw7HRaTzaPgzHkEFfMrBxjrAlXaQbjS2I1Zxp/V0Ja6X5PIDmpeUwT3JYqkb7wAsE/IPx38l4BpQELn3VIMQ16E6Ir1OzfrjAdBe6SptDDFExfkq7d2GVj2ehln/1k8B2wAQVpQmsKIY9ImUTfl3NDHnF9C/Y7m8p+MPk69aMr1Vo7yl73X/dNiKedtzE7QCN9aqCM+sd0DQ6419W5qILGZIInsXPGJI4XL7ZiNeUylAF8H53c1Cx1qe9pAyYnHekNKxDxvYnsyaI9SgWmr9ye0I6LMGJTytG0qZ9di1XfBKjub+A+AX6JtfymJt5yqvci+8ZtGS2nGJfYser4J++tspn018sbEszG5xlXD/AljuID27FUrcJ+tf+Wk+Rua9N3vJAfmPQg6Crfs7jx73pNGsK5qQOxJvRL1K2OEdr6zRB6p7oh5P1E7DINGQWQtz2rXNv6jH8ou63Ol+THyYIATYDd5y8+NA/Bb7LOVmNnTXsfVHR7UEQW3ngCzaSt9Lci1AERKc4RIO+FsmVO+0m63WQxzghsb9nbAnTwZxlkrF8bnPQ81TxiSvbf2YjeZ3Pw3csvTzMvIPjIdOvqenlL3ZbTig2M8WsCqxQdeoHF/7m6OIpRQSwVrfEaa+V2Dxw0djlSszc1bEBdgCMBl2Kb3LYIsn9X9A8f3MDZUyC2kqCfMUb7rZVs6LsYJmzaa0PawMMJUNByZB+bxNcZFYqtkUz2OW/GZBr5oJOLrgDtl+AQ4yTXwE+ChcXV4okLKmKVP935jDAMwsZ7Rdsf23Ow9JVu+2SOu8ecd5BC4dP0LTmHNMiZmYOVZ8N0xCvVIvtZDiARjiFZDEz94D77ilNQBnhpxJqrGI+41gaxnvlEhvtzeSwf1JHBfCOgQ1Nzyv8Wwfto2JTRtYkr11e5iHf15a9Yb2+S7SH+Nx2gtlFSX0/1VNYO/aaaQRmSKIqUGU1oriyMDhyfvhjUXazGp4cadTuy661gZeIdHCe6jY/9+ArwX4zS24gZoQMvATt2ggsGfTMPFLWRmwgfWWD36YkgffzAO3gmrkG6bBADCfAEq854POzCVAi3cZpCvRbct9ig32QTvtNQr7JIwTxHzQalbFgCux0ulfRuwU+DfAG0dRaHoc1tcz8a0K1S4FPzyj5FsK+VAYxxTsoe/U6Z3MrB5Pz4GXU2VxV92HO+00vpB/WZc9cqA0wu+lBF+QDNzU/33TYP4BtH6A3D8CrG6nbt399dl11Y/10qDWGIAUe1MV7YhGjD1939Aj0QFFxAvZl31MRLmcO/GVpiEs34Ha9JxR9YysDv0WAMXSfja0H2nmkvTK9+xKskZnhQSRHfelM99yZpJmzAP6rZwPaN0i/eovBYiLKKPmsLWQKDU7w/q5g48c65tdm5UXak4Fqos8jDgn6AF2WXERUunIFZkdtiWFvVTb6ySF+gs/dn0Le5q6+gub+Af93agr1ukO0GjMvwuWfEF/tpgD9Fk1mnlMnB3mXgozYzWwZ6zunPEpjlDf9HNTAV8cVuIO3V3jOUo1c5t/bOx7BNtwQWAe3aYCmjGnwsn9ny6bPxbWypcn5WJoiedaivaRB88D29GTwGeUK2pHvXbKiGezym7hTYeqYK9jD5w4/yoFYTX9bUje7K2AgYe4Gu/7a8MYGFhXAI6+9PCk7MTkiFujXJEdmhrn91oRb+9yTDY74RAp1zXp+M/eixMzcFZu1tH2dU216kn7SlW+Abu5HR7ISeO0chA7Y/JwPQGMuepq+rq+zSjObHrjGAbNwQI9fmf1xp0Xr5z0K8q59CKFQxhJk6qOxQ2ylvx5nPa2ps1mPpqvJUNqpw8Cffl0pcA+LZFfC5+OuLXjPNeigl055pBQVZcFgTaY32vmXkqI+dz9W3POH7EGnh/ONC/vbnGWloeXWow5Opp6MA68GSZcW5ES0egMGOeVxIo/u5XESRGPBQcegi1pf9XrGZ/ASNH95WPF3ylAgdPaoV3wjkRzhWbsG2LIaZYYHy3Twvct8O4hhY0NcuFDTw6YnQeb2HtPZ9eh83cH/ZKD7wKZNHYXeGXb933PBXvCP0uRXO6FDA36Qo/8DcemoQjuSAr6+DdptJDhFoEk4gb1sexXieRUpnxcTOXEVNwi0lpvwmkOoG9trbWEf9pFFbB/Y6ZVHdLvDvs5xb4Odb29U2L81Mhwl98Bn3wpxMw9hFl3SCd0C54ZeuqL/q7fsPkBL6KuyuQfMtOM2v5Rukqhe5bhLTC9jc8b06i2WNDFzMiuJDzYB3lrcRl/MrKZfBlpOPedBjL7R62ZaMmh9+cN7+A7uhOmq2hoYCgfpkg/gJ4Sa015+1swu6W6b5f0F3rM6ZsVfruPPeQe8YvsIYomp7elAV5WSbb3z97snOfzdsX0q2n7yobdPEIMbV5mztxU/576k2EkDXNZRvwqhHTEseRP70cHC31m/9w52WxDxd94bGh+XOjJPHRJSVw1skJREGjhi2jcMtCMwJsSzb9DlOdhvIi1TD9iaOfK3JtKSW2qXuW2nxDauHGR6k+9OhazSkcN3NDm6yV+f23O395TGDGxwbWwdEO6H/85l2OWar5lDC13m/VaAZseNY3pd+Ysys3OsaTaz4MDmf7LuY6UBsXMOQc/1d2XXOCxQ11zAWrO/Ws5v8IF74CteUXXhhZ9WK3kDX/ubd/9mj63Y2r6RXlvApNaZEhfY8sk7vmSO2sO+0PWYuXhgqwqnVgaY54A2TTi3bNSbqmfgJZZXH+kUmCygAx5PVB+B8+7AI+Yk/id12qW22J1baJGxuWfQRxFpTAP4GTOrmKk34FLH1AOArX8zCw+ZTUC/J59N/LXkI/GAH9tzmLxiysBR8sAxWetARRB3u2awHsDvoNm9BDQBbyIFeE04+BfKekTgPcA+UcCZGmxUZRAz1nJIyoP776yMiQjvwDMV5dAAuLQVd149JOcdcbSVs/DR6PLBUDuSAW2kpeaSy6C2JW24pJSC9TjLd2YnvNI6IuEMngdlZn4erF9xtBs7Ba6vmNxJxpyzJjvGvGOKJmx6ZP7vs4LK0mYO149ieMdCfmyMKgA2BB13BH/dqgjsxdJYrv6UFfCdV7aYPBvWSxAsKmccIl1gmtVlTqPRW9PJMBun2ymffxj4vVO+fc2VvoNe+jV1oKUOl3pMHnRlVt4/zEx04Ac55lb7bJB/zIb5s+lKTxYE8+DDZtZ8Ef3UM6e85lZvaruPpzDZ5J1v7uoDan89iBV6ed+8OCrEVO4x2CAw653FiV0OrWbMrrCb3NUI72TYb0xPHzZMbT14n4ZvWP/lCtpbQpdXiAduKawHjcO7NOdHFG34sFzOYXuhwT8W/TsH4N+zqQY2M5d3oK38ct1f6ffWO1qz6R0VgY6NjD8wvaoa4Gel2xBYTnNb/hKt8zTC+xNqJ7DNoAnlnfcYdBzE1ThZcMxNn6JXX5GWuORZr8ivbY05yhbwUaZi9VaH2AOWfaMDB5YBPV2gjoX2VLvgE92E1qEMa1ebWuIqByyqTW3D+GGxGNv1yK0qfN+Qor2VnXz5Q5cIzFg0oQbhoWH4h2hyaBhaxMiT3MTaSNvNczbneTfQlc9zQS5Ef21qyxtVIX3cYTP3NBRii0Hf3jN7cgFp3krN34ggkxSb1xwE0CEKnZBOD8DtwK30HDamx0RqZjpwBzHYZ7YopjtzfZRaQGjCu2emN3OEI4hF/tHkjdr8G9YA5RYPgE0m2e8fFUqirNN7iNEvFu1EaIencL5w7mvTT7SkZE95uoBfgn1of8LPpmnsB5Xt8zpCpHJVCfsCg617Z8YL3E8tjZP4FEt0LtoYdv2mikgPOkYQB/mqaF/6KzlzbdWaWTzSnhTAT2KbCr3fyAj0XAG85CYFYWSfB23CrXcHmGtpotudd+DDhiSrQi9Ke2CrsXfgnTq1m/xQa3IPjqyaqLzLIvljG/j+DxJZ93KYIP6qylR5A1trHIKxBIl3EpMgYeoBz7xJx+RhoZx2+7uEh+dDeRdFcz+YG5hQnmigCxqhsBk2Fjbn+Z1vclFedlgeICYpC7cQH0tip+vx+X49FcqlvZldYs/p9+zBJzgmhz3lpqYXtOva/h5XTptVCmaZM2EEsMZz4EnwP3Z34l/r0c6ex3+M1760uS2Q/ysi73keJ2Zq5WvTB2NtrsBMoKXRVNmgU4ftdw1+vh70qqLkxJnXkYLdG5Nj7HjABg/7HJm7d9B/lGiG+KPsQKnE3PzOV76obeYVNNZclsM2lGaeFDV9/8in4m0Ke+w77VpHfm/3tf648qhZq454zN5fgaGucpwezaiOKubrOfQm1ZE3MUrnFGhHjvIK3FJSJ3nltE/M5C3Cn6kRd1WonubeJe+1p75nG7RzJtneyYTcy8HMRzb9SzhV4gZrjqJ8SGbFHs+DhS7Gl4IPD4HH7GboXdDUvWJt3Kzt617PrjiW4DOTGnxS3asb7pMFlCD4hWmnQD+BBopS7X9WERo5I6ALQhv2FkoH3QpgrRyhVIjUOhf4jYQ34AY/KsfkpsTsEaQt7uI/O6xpCwoWuWcqQbvpsnK2byJu95QtoRq2UwX6JRvUCVixqiN1yUQ70E7njauH8nsGPZFsiPPlQQzx83DxTjHuqJlNwJZSgXgnQ/raXwMdE2ZmIWdraEuGYe2WCPzdT2btr4fnNje96oWZt0xxcQbtUVvkG7Tcb1OQ25mbnibw7thi+rnRg5UUzeD5/9WckGcqeGXs+hW/OGgG4MITjkFvr6b/tX3LqZ8Dj5OS72Fvz8AM8K88SZrQdsBPYzZOgwxDsOdJVBT9gP41dQusiWy7tMn1YJELj6Ye9oJs+r9aTo8IReTY7uuilSXd32mHDS+ylOqe2Bfjm6/U0aNgmJ9R65dMEhWpnMdtASCSEEv6ZnaTDFWesa3MGJYqTu/KTTDrkp3gr77ft0feyU9OfVgXRMtVUe5O3XncOyoki5me1HS8F8KrQG/eazYF3J5+RYduAjRDNuoO+Cyv7CQmDB9wlGzUsHkAi36zNfRk2IoTbV/5G6hxFvsUAc85/CZ6Yu5Ri6aYdqLTUV2wawV+Me9n+OexSYP9Jh8xEkhH5UogJstJcVCTYWpjkd1NXTtnKDc5kgLhjoNGA9t+nW/MuZ7QmWFPFSQFXZ42gZprl4tyTSDGts+Di/I0/FqYy68nnnrnML2mpoMBQk81+qJhejn3pp8YKmqbTyfE59LJriWb8pRtT5z+9SK41iG/nPneya29JwZzX8ueZxE+iJCiEksMLJUzsUSZCK/Y1bBb9dr0vUW12lSoRbnYHrmZ+8OVlYbl0gygUSz4/EL/NJ0qFTDdK3cOW/vn0W0eVc8/4edy6TZeKjy/on6SgpbEYULg+8B+R5KBp2WsNbk8oEHQveqVY+7+c45XoeWnCue7yT87jzygjh3AvkxBd7xyU/0GVBAbVdpEDfjlrUWeWzPv+wrMBHqSf9crf6a0dM+7LWjcdspR+aTglypKkOr4hRXcpz0SZt5xNhBm7CHluqjYjM7IZ2XfvHyUBXHUaYIM+AHrrGhzAbwEmn7FoJOq1T8AbDqytz8z++sOjGHBPhpT14co4AMnogHslsH+M70B99wmutESaB2+x0iupWgvGZtfuVhrzvo7tuYsc9CBI7QHdjC19/hg2fP539waUlWwj9nqd3U0r5UDthtK2Nfm3BhxBjE8XcMN/L9jgxSsk7Io8H/T6Y7ttnvRL39nRLJrP1NgPeAfDmv6aHo01vRrZaaC0OEHYPyQhtsT6Kohd4AN+nYDvi89RzwEdtWmh6DSX1fuXiDm4ctx3ZtcaGCu+XjWfADN+Hemd4rQrRSThWN5pX3qcad9yuftKSPF4J0ueYxKc+/KAvKjBlWk0WTqhu+18GZKk+d5kBcq0JsIygVYdk51W7IhqWDPdrQjM7ZfPSRhvWzkMQdFjKtP0J+ghd6dxjAhUlU+6vEs9Ca1dHCKgcOYXBo2X0BnPIC5OhGrU170TjZsFwJMUGueAtP1J3Pu2SOrMbkl419eSqms/gr+53iKPzxYs0/W+Sl3Zqb43pI2SkqrX8kq78yZTzlLDmZmOLHLR160wFQkxAg4gW3X3OUV63HaUDkx6/IshQ1+A5ei379iyjFHppeCPGbmLMI2PQcbT0S2RcB3prb/Bv9AbOgXiCF5w94tZSUjsfg3N3NSeXsE3XkFP3ppWLIq7nOTiwBrIkGLXHNYV+54r34pDrVDV5memKbW1/1nQwhYI6sHnoHd9mcxXU9BQvGQbpiZ993P8AvQhrp8U64fjui3A3fwoXEvdxZ8PFKILWBHJQ5aQAsfFGbydwZ7cCcNWuOGLe2CT09PjEe1lYK/5p+KljY1c2qfc0D6csFO41HHY1L7Zh6Ee+4+HhV8JuwpO31uf2WITC/35BROvAr5mJl8X+frdU/0Ww/sATrmeaL9hoVAou60OUetU7p8T6zMNTW75XN+cpa6jH+41PRrNdosn9uD64+KwjqbHqDA6eVzmzXPremD8obX/npwzCw39OIN0/c4JoVyuIts2X3YGf144qJ/KOEBf/b/sSltWTVgjgeuc5H88qj1KnZxDxZGZJj1mfcbbnpq97BTI3Q9Q8yV3/PD1CVg9++OY3N0Ms/0xqsY/sYrfpyoht/VWGfm+Wk4lTxQBQs4Ki3Qw0GCMzEN9Uj2QsDahRrX1vudMvsX2GzKNQnlCJ6nxw/wVkvjJKaz9yunPajg71MbCfi9XS1SB/wVPKnvp5GawF9f4HPuVSdlPWwLeE9exWHPFPggHdDD/dcK/nQV31tfxB9OhfitjjyzFjkd1VvG7J20//IqcV4oCfa2py6eKzEVtAC915setvsn+JCKWFueo+lInnOUjzLKDL9zfyeAkzNbd9j52pw4XkS43EDgdHmIiVohdkSpk9qa8HF6neldpcggJn+Ze3wzY+gOWqyS8cWt3OlQuZd/fYbNDIt04N/nEae1QKl0EVHCuvJQVzhsrdxO3lQMXOQmv6DzwaY98NvqBOx7g7X4O9PDbLFwJ7tSzMMJJU7lTEkVbZ44RjOLbs9zj47lgCbY57vSUWWegx9eWxt0+44VfiQK8A4FN+dujyryhrqTOh3ITXSg3hmwgLBf+2thFkrBb8VmNjD4kEepyS/wrJmDWpkeYXRYNGPbi6kRgbXsKXA4t9r9OZK8Wk3fopYCFzzSQd1JR/ycajPP8fMcJqaWVRLnxfO3Z9X3Dqz3RF301mi04sA/gW8WwOs517zCwovOCJU1ZVfJpxkX5EcOG0dyvtQ9d+F7BqAmAjMbgDnh9SQSU/MlRERc2H8sG3j48lGMPQw7bOrwfYNtDrGQgX9Qx2xoixxhO9/dnoJrhu1wkbG/lJapdcSrjL8cFm0/aaQ0t26GWS+gayGgYODT6c7XJDB9tjL+1/cAFAY61WhaaqYPmd0/QIudTJ4eFraLi4/HWZAVR9sH1SQlGtidSwuYLRYI/ebCPhDXbyHOWniUvTkXIAPEmlBt+CqXE28tGfzVm48NReWZJwuLvzxCP1y2co/FH3cWel46povJc65dhJQzi5wmQZm/L3mIfri1vYC/v4DfkPD5po+PrTqVlrzZiFGZO4ycUXxhkXzlVEiOpKWYuRNpR+xgT/QJaI8U/GC/Qiy7n/t2KIFPanP/yrzFnEnwIVmAW5Ym9o+5i44N2Brt4WUJ3UIsXHCozKwNwl3/SMXfXtZmnkW2tj/EwUW96vvBDh1GyaEZ924KvC4Lk8+4hOlInhBrTU/hmCDwe6BbeQw2SXvrYDhdLBg4F2KzamG/YNXjKzCYXYrl55Xbg81csOFmnYVNzuNlc7TslRqN3Us/L+QqrczkffqniKc10iej5c9j6PF+uyuZrujKVwK+rLKQowK9Y2MCzNes5+gCMXaC341e9SnfkvuSDO8WxDzTF/1R27IC1oPviPfYWtY62i/lqPdZh60G+RYJ2BOYAHSzHGqnZRL5idEcwNNZFe1X3k8B+IOnoJg1zjyw/4tfa02Tb7BDzoflIfnXxvRv5Hp/59YMzzRTwby2Gch36UKcclHWBOizWlunjrWZIVER8GlNjALpkuoUeke16m+TJQ5vuafrx3rm/HWXPQEfPlj47pgerrg3d1mPO3GYnceJAG74buLkRELFaIwdEqMevsPMbIxOUTulzr/78kEEyQU0l+m5vG9G0lHgxkZsTO78E7jrFb8o4e3+FJlYg8yc3M8ayQv40xWP6ifXqMy435fD9ocOxE/7CeKFfVWxv+Oi5XLIvHPPexaosA76J++zTdarjnUKPoP3lLa3XF9eNY8HacmTyt9d7Gw25h6zsmHfs20EHNCa++tSqLi05GxqF3ImGTG9M4vpnrOWU916pdguEDtzeNejCPEN9vwzH0MbNO4mE5YDzPnX27leSduIh6dGPgKzbxqqTufua60K/qDufqXDFpgdI2Z6mY/T2rhTwmD/HOzsCe8txRHO8iCp0ogcmPYzNdio7ElF48tyXNsjxNDXc+1q7heMt5+n/OZi0N6S4546bVYNaqH9l3lHb/AuMmH6sK5cH+wpFDF/a+we+EFJ2GWfoBsupxB4REjE4sloFV7aydoEvKy79FVfeU3jFvOwDVMqb6aeUhVmvgv+rezyntpJnjoTJhyZ/vY/yubCzMSoB+0J8Csnur/KfrrJUWq8pmseZ89KN2Zu4ooF0bXN7nzEr7sbXIfqSHl5PQu1OUV2ykG3KXuSwFE9FsBhBS5ZZJsZJBI4wKm68gkMZDM7XaiFV2bydYHARK9j8NF7CnFXcB941PSYSOAn9GseR8Xtf72rNAu+rmaebCnwUwWE1mziGW1HYMoWtOehiZh11h/XZpw2WLS/Mt9mqbNfiPO+8PjDOsW6rey2TAekz1p6sJdkFX9sml69eN7Pw43XWMkGtMAPZ+pT2SRohuSoXJ6w4WuBZ23JGFpCTxlBjdmj5r7yTYLfSE0uIOMFcALh+usJaxfCnk5p7D+Y1YPWfmzq59/8lEKJ0paO0efJUgOL1qidMq1tMraUBqhoovnzHEigaGV6xediQEVtZh1G1sIKtFA0HRQKYQ3Qp+T6eS6kzKOWNMP84E64sB697lMedJgy0N0+iaYNidof5bY3QlUF/jAXwnvWoCOV4/02VLNGeKwJ/CmlSueh7VEbkzrszTovB5eP1FK8saxHFU+X43P7A/68Lfs/Zns7B+SY5VtbDOQ3Z/qbWOAv83nHmTeJsO3PXFeqkKRm0sMCE+DenQoaN2XLdwkcz4U85Z2p/50cEi2ktpZf8IHfmbNNclt94377V79MxH5lw/a3Ysl32Sc38FG/oKti9j13JqcEOHlvchGBa35xbu5s24jpqf2bI72i1pxNnAfOzD2KMnoY/F01IlOX+yZ69crTQ80/29W3yrGv8P7N/EpsZjtygS4Y2ByzlmRD8kg75jQxNv3MUcYzJy3AElZz9tyKOjb8iCdsTz/Nbmuzvjd3iAf2Ly6i/9XezpnQSd705LfmF0eK0IXYnYKvMqwJtqgy0PE4DT2f/Tcn1WE9IamTLVRDXAPNWUeJX1rAr87EIQZ24L9DAbwnzEyr3n6WQ8tfzFZRvmGoTfKBR4zpnZmn0nD503Q+2CN2wc4uKULfebSIKuYJEdvI9A0k8OgpCh+Yba84Uo8m9MpMJFzZmQW+J2fwelgPunolL44KKUV7tfr7HKEHFfZUm9pz07/IcNOYHFOdhNLmu7wgD9kvFdh8WQfc4d83h4ilqgpc5bGfmvoD4K67yS0hBVoJQ57JxwYWevmoZ1noiHB/Ojgm8zMhxGVPGZnahwQY7Osp3aStLL1pxuQ7H2CdxGRmn7hpQRaC5IlbwGFUD+eCaKVVIJ2kIEUbgj22OUvuwPOv2sC2Xk0uFg4yjeAzeZRb7IGj5gHfx8xftsDv9hWTJfDEJgOGq8D+IK6NoPv/q0eJFgyaYTkVk11r8jgJ61HyJBPDZFMb4rKlXtwLPrMBtryY+SQB6ItfCOPwXEvSWHL518faae+Z826f6b+cGu/M1IUPslXmXKko3aMlfXjm/hw1dpXfVtBNRd0lwMj+AEzSlfn8+iw7F/A0YqI5bUvQoY8ULJCyiamQXMhzO9dF6xBn0SlwgXTVBgMH5P1ccIajU6QrUWTWOfYHHOMrZ/Yh5/5yWJVzpuGaoo+nGL5evtc9POcT7NE9FqBN6JcD3/1IIDbhSBL49wD2JehybtU28GFsZkfqFPQkMCKRuVMCD2+sI/Dr0YW17PZXapWbfPRPTcwdZu746d9dW1TH5cKQdJvv7bNGBLOuxYSS7/R7G+eRjMGBR01v7mT/9WAFn/ovB6dtes+c54Lvut1T3vLKWnY87G1hekoWpErD7GHyLg82efUk1P+63nfJTQ2JB74JdJrRxPoGNnvlpi9Dz5fU9R+VVpOyVcGdCR2sFPTMsj+PsgQf+5Rd/zCzPpr8/S4pckTgX2txW4Gzs0a/7qRmWfIv2P9qPVoqzznv04D8pightUtwWbQnYnkVjuZ/9c2ls1wqzk8QpXQdqDtjfKqf21+IxQeOpihzU4sgjMoRyWqwFhHI30q8aqVvD2nxjveY80KPfNBAq6lbu+oXfMgk+/nfvSrrgTWshIMzCDh7f1Brb+pl7NSeDmLkJt/mii1+r3vE4buZvj3XxiYi09LMhXndf+k6nEnFMcSG+UHQ3jlY8Lm2vCrQP7T7ckyNBryLCfbZiVJ/UYgvZ9o6NPw36/5RhWC5g5k7uwcdVW5Opl591XveoY53wEgjf2mHNtXkXjqzZXphVfk2Iv1M81U9ucA/DWtDiKNzvWabg63nKtpOBOj8/L3NSutmcmbmlH/YVIB/jplLrdTDSHdHl1gi6Nc8Um7G/u44No2zt7DdeEe3t3BEPk9siQQwztGWkwTmqh3uYJNzsLZ7CXYhrQRJhv3S/VrrQnPg9g0LzDNxR4Spmz7BPoqLizsZsKjf8Ei97mEdFoLGoNm1tKdjKXhVF8lBOWaWD/EogKwYmSto8pZzeZD2FB+sxfSXB4WVmjvklMc4Kx1rIZYdNpF3ksV0wI4dMuCJSugMmOAvfx67U3gGrXx0p5OpEzsP3ubcTxn8Lht0MScBItT4J4uUdbQwOsqftPBZ5RJWPm82XfdAoVIwFw0khn35nL8xbdwT4z9sN/s0+ptfWbJCi3Owt+UarkzMgo/AFhRl8Cw6BRQ7uP6VoOQT9m4io8nMcHIbyw5gj/cEGabjO7kC48I+P1N8g2eOTc0Qs+wJ9iQx5xKvczYOe5/bE69A01SRssHvAXehX9P3jiJ0IcIrQKeAVtE/zTCxfNWYFlPUjPhBw8t//VYCHVegD8nqhzTCRdYT0ydrbSL8S8M/7i1yZ47kc9vluu0zh12bAmVSbAnoaoZD75Hz1KodcqjZkoGN78y8I9xpqXazozrYEWPyaOJpPg92ABHwinfb7uBm93OoDwwhj4r5Na8tq8fJocjUivJVRPabGDMbF/7MowVx4W2A74BjS1d8z2+N6xMZpYuK2qLJt8Hx+e6BvjX5N965IzhjyU8VZC7oc+9UpI86kObe86WJbiXjm8p6f1SwV4lonw3399WK85q2T9M3jobe5lRcrGbdb5g7paWrBRl4W4/AyALPxEpmMWxbDFGmss2cQ7BlNv3INbNOu+2m6vErH+DRIGl6K3fwTD3ezbhy3u/AgKQevL6yeVkNSUK/twPrVXC0QJv1/Af80wnsYgX/DjH+YfLQJHyfJwWPCVwwwR7MmYMlHbCTdfjVw8RLezNrG9bdIVa9uy255Y0pm2fQqSFwAy6tr8eJEXoeU5cW2Mzr8v6r8fe54maunRKiJ6k5DwE71vUI701nd9HpGwZmhHfx0g4XYNUMfM8A2uqQD2pVQv+Y/sMnBPvDRUfQGxvQzJfSdHoaEGL9v3sgwcONmbdyyCHWVRBjpIXGEuQE8CODd3wsOei4NX1QzV98eAXu685d2zEzCxy0wJnvNyQ08+Xx7iQI+JPwwUAHibgNuTXdRaTuaYyP56702IiWFPGw0eQbNIljejuVLlnEYGvitlGu9b4cP153owB80zF3POdgy5HGoG/Rl42RqXOTVu6aesHGacbQMI2fQbxkhR8An4BlAncLYBzncVWjOYNWhneOpU4KiIEQqz8c2Mv72np/2WGmei+mZj62VqZe9UAdGVaizTJ7+sauxOfh3YF3KZitTf/p63/nUXJ/Cm/ABf7CA8SxnZqcGE574xsWkkbklg/75ymW0ZnyV12bzOP2WoW6LHvtVkiSdJjvJmf0PE7+wfZ34HfSDPxpaXkPSfG+sbziHCdWKjgwaRuX/fJrJi/QQD2pc7sK0MMQc0mFymtq5itR/xVTiGCJxCuggJNMVU+oKJhbwZ5V4eKl3Mwql/15BI8V6k1tbWNuKZZz/av63k0F8Aco+WbUWoFVNs58OeXzRUXZte70txj9yPRQfOVUNKvJEZWotv0Y2GAPz/HLHPtyNDNkVv1zikBHgN+ux6RMWWt6JDugPTB7bm2IhboWU5rHE3A8CRsxXwjfw/PcrmSQAhh1AO39qtcT5wI/4D2m4E9K5qA8MzOLRx+4+bH5r8+S6Q/cpnRADh7VHdhO5A4S8J52Wa92GGEHGOx4pv4F7ObCex40ugee1OU5DK3U+ssxW9RQeqIjmRr0nI1+WwJ3MNhPBDxxuu6vuEOfFNYYh+2OMWL63bss5HtqcrEAyGstv8HnXZnbbqS5d2VcZKZ+zZZEhJ4wvWhfLFoydT9YMs0G0M2DbWPRfmLw24pisPMb2Dy5c2cOwf+7jXh/ZG6zAe7pU+vxeOWvQfgeMWgPWLv5HCZP0wPhxLHpHWQxW73eYYgLtFTmTi/gB1qET8HxrrLItbHeLe5sPGaFjtR+KpF/Be2oc4rW1OLa9AYHBkagv575+rXUzjY1c2nVuHfNnB7u9Pdz92Wfv+dXXF7wyFO5IisdbqsoMK5XZqeuHjOGCuDtGdaqIkNSmQmE4D+A+dUlHy93zLAoXV6mYPPYmYE/lFX33kWEzRX8wKXWicycVjfj/91xAFe7ppcxcFdyHtWmigmovo8Vmzt2a7vncXk9Ud+vLJRUo7qZGpiMcYrDh8NMtZ2j7YN7uYM/7tIhuyrOHdm1vyySjiimS9a/7pdvVibSO0b+5dylzxxN36DBltT0L+6aBeT4tyxMbvR+oaEN/qJFEBvjckx2qsNvGPizGhMfmOv3Xz6StXyDv7VZoH3AZi8b95v6/2ZyecoMR6T9kq4+Y5a3P67YzQO8TwM/An3rsQLdBbq8OOpBwtSiWpZ1FzqnfOsS0As44sA2aAUfzIBTT2faeyex9KpD+8r5uxs95CI5Enhb5HsuubV3lYOL44oEBf5pHGRmLLnmzKayvF/FyVSKZZOHdt+ExGLcD+UqJ/BZB0rDJYe/mxo21hrzsXeAKzSzX7XSM+X9vGff7wtwoEOBP1WkaWY3C3BlZXL+m1hLYJcEu8rmIehGPd2oRuAPsit2MDV+WTnLJ8TEk9Dkl3T6KB1kchzMTAZRB/6rP8DCHD6zVT+Yc1mBgZIUmbvobQGMi3OXf9eOXI4W+FbH+0l78N+9/q077DJregNWnSoxuynjprdi27hobLpyoyzgAJptcgu8Msev+CU4lRr8wG/Zkb25KUiHZaqLbAP2nJ0gJsL7uJ2/wb+ATcouOUHM+awH9AkxzWqepqbeutc28XEE701Mouo9c3fq1xb/BH8UnBF/8eGVWXPFwwkxZ+s3LOkIrLna3WzphC7vbYf3i5nprs29KcS6OWf40XDQ4Za8CK73VaBm5Ww5RTioQzMX4f2hoqRkXdLDfw9mRvL/Pis2NTS1dVuaHr2BD9UqmmQNqg/i2Ap2vlbW1sL/7p3m2znE17xA1tFNHTKoDROt6SfSyZWb+fMrxJRjydpJFfpBIw+8AgOyml4+6sndqResTYDTrrJDXlUom4bEP/fWhiGAXZ28mVpSyglPY9C0oFExxdfK4mNd9E/m6r7WlzUN9MABJhuaDOeB32RBTC4aZxF55aX8ZGvonHv8VppeWIO0M1s/mhCxM0o254BH1Gph16BDJey5KlrTIxv8vA27zC5S01uFYZ3Gcp9RnYOPFhnbmD/jjKXPCvy1yf95MUAdwq/q/P25T/rcJjrvpOkf/xDUB/WhynLUvCq+vNRVpWQXC7M2YGB1J6SXBgEjDvzQAPOfA9RRHa6Z3dtqeLinWEWN0Knxri/fq1C7CCTLo5twDhqjZv0m7709d7nZx5W5QwZW7qpiejNzZrG5v4OfVWzC2AKp7YIGjFBZoQ837RJaD+CxaLsHLWZ6jthnrV53UneJSkf2kteR6RdPvgVFO5ModEYqNV3oWaC+VZw+sUivZvZ2zezffCVXXsgHaHBX2txvRHvE0cPMvoDvOMnG0vt0xeBn/F9giZffeKRF78l+AcaaUjGgnzIHzmalp/r2WQ2bzWFloIfRN4tBE4+8bNiMUyCaZtC6CdQVIvZFiMQz81OxmZUQIbs0NS1deFcCFyfxql82Mym9gcZtW42EwXq32GaO6DUDjfNNVn47cx9UdxvRCOJ9IVsZbRcipnu1qkgJz/DnjontTy2yZ+aSLnPkKgLYzrbpey9/U9q+9vInaPvIxGnS42NK9/eSSZk73NSLRmnkzbxonqfA2GliNf2/86YT/n43c9fjU6APiqlNZvt23vM4320j7GwPsHZe0y8d7LEn0+wvd07q6YkjWeCIVDXwgBqUl1uK1g74WRdFTIcPYDDYC0lbu9g7WJm5v9lUiOy483jyVS/nELkStX3poLRiOsCar437tZGxHtjYln82P2Kawv5tnvOQMiV4oBPeywL2xgaDz6u03JNekrxor/lzHlmoSGYlyOTTSTu04FsGXOsI9ljEuw+nDtUiOd6IqPGq0C7x8FcLQyrbzPcx/YzQVbnojQ7eSPTXowS2EXFS5WJ+CpQQrFsC2rGrhsszZV4GfgQd3S+3MfnXManKYX/PQ7DY75kcbAVrLEPRm/qW5dVv2ZOUOKavI3A18CbflIW6SQH2MQDTdz5n3/MPaLTTKQCWGxIzuyBkfErPITnlHXYgFv+kAZfM8dKUX+ym+7o2trZN7/mG3ZaU9q/n+v1PdxCIF+n9aMuBOyrPI8/615eJ9V6KGtBe2Qbs8e2Uvzv1+rGmLg9UnHnYwiv4LQ1MFxH4zHOAg2qQ+Xl3W1m/XUBbno6O9fqsO+iPMWfyVHUc12CnDeht3G/fGoiVBys5YKdf6l7l1YpWWGeROnLMbH6qIgY+YLMI8LFScNMn957R9ufg8EF2EIFDU0Onn8Axr7OUWzbqBN7VnDk8gHhVnE0PfgDS1C3vimnrRNmVdGRXjV8QW75WGrG7WuUPH7+uFbDtcSWysj+uB9fP6mEymf3P0kWhQHomQ/tTueiPN4i1RPA88hyDnitQnP+bu+jraswc0CgZj6Rf9tkCf9YKjRaw25V34QLxhZbCDkB/bVinrKMzjacAUcwQxFjvyQP/UCMtzZ5+MXZDdZcNC1jDUvIxXLibMF4kQTWmNu2t65mRtHE/1nzkdxzLA9MtE536rcTW9PbEnCaErX6YIv0GsfRCAmBTK0lLZo+gFfApQq/z3ikduKw7dq9HlfyrDYm8Kbf2VzqGThVi0Lh6EaF1zRHBypm+Rb59Sx3VqzF1/50/UJNjgH/PBWpl3FoZBW0++j7bbX/B5/O0618x5TcfGvscft1P8E6OrhpE9292xTfEyRML267Ue4tbllUy3VHUxmmQ7IH1b6buLBWLV3L1Rvr2XoKdiq4NTzFfID4DM09zHdmXJrJfPWcC7vz/+tTC1pJT45CpsZKdOZtkljLvFwHbfFbjhwM8QcwdEu/4tYrBL8eIEhstRPvHOsb7OtCnxlkC0HLfufUwM0Bf8/WWOla3zFl8PuqQsfYAzH5MBQqa4nLnurQqWxci7j1GWxdYyYJ4mJ4DcgMd3UpXYhLab+cBv1FYV9OT5hRP2blDuAFGrLmkKu5fZ7C9KOTmhNo9sObbifv/6rdA33zy/+q3fohG32eGQaMnd9ASCRd4qda2z03PeKSDxlYt2CH81gTljicbtvdM7rtyyyvY7U0w8lqvEgdJzBnaKbslR7u9cOfdw9q3JPq6Anu4pck/4rqqLZ3gQY85xAzeJ4Ix8PuObfoj7biNLrkzVbLzD6Ato8qcX6xAW67/IyLvVUOHzpRXqc1bPmSLpB9rU8ijiqQ4R2Z2ltIVm3d8UPts4I96kLI0NeNWQlWn3yD+h3hsf1Oxvyohh1Mgb3IwdZ97p4ob0BgE0Yi8aoqBnb9WqVuwQPULTNcSK/UqYTkZxF4cvl/r8cM13Zcqy9RfalwOy9XUg5l+jCeGaR6rA/BSCHtvp0Jv5PprJbZaGJdJNjReOcyvuByY7r4mN09GcncKfMG5zEzuCdjHpjRzXIrpXx9w+BmE2XbXrLqqAsKOluezTn+SNTT+8iJBjwrK2xNoAhZ6bwe7tQxBqX77Wi/YS7dVjvu1AX1WDg/gj3dTP2BxV3V0QGNp751cbB313EYpUNOJ2Yu05FV1cspdbMnn7U66cmXRfgUNZfHI8xqtc8zxEWzmV0Xs1Qdm5eauzQYt8z2fJJun0k1utPBF7rSiKbKlKSaXxBpD/LulTBMV3jYnkUxpDD+npcWGpaqcm1MP9ga0kg175/NfDky4faSRfePi/ZU/vxwdL5T6yxIMcREQpwGfLdj7E7PSprvtE96/yY1xT+YOkemN7BOwM2Pv/I1RJKpCR6W4LdLhbj7Mn3lAfiqbPHJONA34aGooXzoFs4fFoi1KC9iZGtiy02UVatvMqqlMzyZr/ml0cgN9P2Y9kZx+ABu1REbTJhMtqW0ABEGqzOLfpp5d2m2QMXs4xzg2s0dy4b38/C5jegdsMrNhCkpXfYNxPNhzDqquPZ3z+dfwPA8lAj/wrAMG8Xn6PXfMzDu4A80kNfpYz4IUTT/7h5VYOP6yaSxn0tsWFmpq/t/cVOvfnUXYBB+O6bHUCJuVPdj/2ANH+xPZzQHtt3OOEtibbINdfoHfOKSdmSON7px5mIfc9EO3YK+6ytQfs4dn7sQUrCsQ/CunwsxQK0+c3MjAQ2UnAWNoSq0kM/NfqPbTDHbL0cUOjz8eR/dierY6jZMcz6Z3fDg7RwuYhNluRkNHFHgBTdlj9uUdHWadQ+8TWOoVv2zWKxvY7JeIdkyj/TOPgCesOTP3ItjUsQ/TZ2qDPTsKvu801cBCEmwnBdFZicT0EX80AcQ/nrl4xVh1yMphPU9ga83QbzBonZeuTFG6YMc7NJ1vg//4Tt0pkfntehLwDAJlbPe+gdi2Oa7aUqH1zEYOcd2PD2ur2fPd9IqlfCBHyeVPTROvFEQ3nUxxD/ErlrEM/2YuPEgnW9FJ3kAcb9byCXb6k3V4aYTlEUd79ZqAH1u6NNZLCTabRltMkJmDyw8s3440wLEaQTFFwB8rDgQHrgwwxBQPnUfsVePffFj+r54kniIJbFFB3K/Z8jwVwBdchY0zBeciKYHrQ7pKYIJwKfuJsH4K6WCtTc+u50hdTC9Z1cvFTMAiol9Fr8rKmi6lK0tgrRfPA0+Wd9Bjbu6gH+CgOOUQH3bba2r7wH4J6GU9q6C8lisH/Z2uKUpMuq8juY/qYQNrhiV3SMQMk/ZLlLlA+Mj/qdnW5O7bVLQvmzf6D6UROuXhtoQ1O5ICPivKgG10dgpN33+VNLD3Sbj9OSGJeD7/f0yd2XKrOteub4nGpKYPg0FgbOQg1IDOALlCQGBiExtz9Xso63P+XatWrSaZNqgZ43ml0bBq0CLvJWvG92fZ6z6l2PSC3IEeAw0sN7LwlybSpBY2sC16jeEshuXym6PWtQMZ27wCxiCMHxnHAXPQx393N/MuDXQFdrKnyN+dGdi1nnNq+xsZZo+snzDs5Sstpr0KHyvu7SnnUvIohfW1fcX3eqmtHynH9GCBjzRxL1pTGKEQOzhjI7/WJlbCxENTngDvCrCxGg/oJ+/4E1veW7n6GxZf7mw3Z3IljjL5CvDc8HPQsX4PrEded/Qntg3TKFvyGC/wnG/1oD+aYXFBj7K0V0gU/FIygsA32sC6GfwOqXmyB9t+L53NcmaXjULom/ToSbrmXsfhtVq1UXIa7IBbsuSvrn42bJMadEGKJNhPbe6STsAsML8YmHdjyd87UHvIg5bkbtJmjN+raKZ5n4AibOeMzY86mt+APXam7pIS9sJA6oJnBb/axgdnee3lDxqFi+mDTE0t7gh9A3P/nGjjpVq1KgjvpwJ4CtZuLZQQQBdgpzeMYfscJLxhympCsM+F+uEuycuvbYup/5EKyz73j6v62uqUt7s/u7H6HXf9rhkxA51cpr005z/ZuTfxBPwgwdZwQDVTWw98AjC6RhzJIrPkvrGTt9qVPuhmjw9LC/powE6L4fdhLpEjrd/7h1cc0SLH8gFcmIOPzyrg8bqYqtLlmnL1Qy3LhbH1mi58Hlds01W9qWjvknDyFG9LCWx5dMwzzm+kS+Dn/Qr+P8NjeQcNe8dFQuXIXvGidwysBrR4r0ZyoAGMneVJbvX3xtk/Uzf5EbvtRRWSHyyw3aYm5Rg+BOzttOC3o81M7OOxQYmp0foD+genkbqLUP4A31BiYlqCV1/p2zXrpJkb96zRlHX+7z1FtX6aej2iLFo3LZLJPBuMtQM++wGcPzZDYuXAWTxMQFebPKKEpKIFW4WsJt9OEnQZFvPSjL7E7l+9L4zH3jnRdp+GSQu25aeiJoYtecp+S3gPa93RwO18pTG6lJrBTiCwG/HILE1Aa7DKIlP2NR8bm+/PYjqmofwCGyxZr/nrvuV/35WzaJpygXM8gL/azTdFEVMm/zmWT9hTMY21JwrVqVEOYEsG0O+l7NoiFeHvGUIe2nvsEPBvc1W5mrMRGAvYMNOoyt2L07jTSy8/eLR4mBE/dRLrDOwrIqlxJI9kTK9qzR61kzxOYD9FXLrnorU4YD1lDxtsxIjpfgPvCBpd6+Pz5qp8K1PnE3io/anG9p4+/7mgVF61Fm0M+qyykS9d9QA+pKZgCUYXRwD/gOfHJDL9QWRa6/f7KeAy7T1glM316GyuJtY53W2TE2xi6SCERQs+PlwrxB/wbrP82sq8ePWHvTkHB35P++hkav6wzKVdeK8YmY2mTflUpXS/wj5ZZIRJOU5p/fUPdHnj4eBzAz7GkcW0YjbP9TD9gJ3zCNjTczTR2mqroytBp6gXzz9oDxrcVvvzmC7g1zcl7U3PwKUsfPiz4ZI5tobni7E5j6Ny5oPO0xV9n3nr5h0qgEFAw3qHc+RR0GCt0mg+G27sl2869i4Pl//Ffd02R/sd5kMW4NMHOtiWGXNps2e+krJmG8/sP9O3jgD7NjG6qYiDP/YAOnRZsu0hszKwl7KrogVWLegAJm+Cqoo4ciBgw3CEXroSk+Ddq3QSZBbJmzUBr+Ax0OuWHLjMYb2LMLmxwY6AswMZ2Zu8R0kp/jl5wK+kt7w0mivC35+18xsfPCtHZlVQAte1t9xJTO2iVwynZlobLruABoY9035X8XSrNb/y0UegMzZ5lC7N0NxBz8NeM++TrXXcb87ahzWyBRbd7s+sZUpPKUWKlGKxgWMt8Hsa/KZX07/4jbXqsyeNPkEbzb7sb6AUl/84Ldxbp99aMuW9LpI38J47AvpHOo2VuWCjQ5XWoBfOITqVLgbW05mM8Z2AXWWRBu6dnqy37sRFr55cVmPpQNDkVHU4xVTPOLIPmc0rYOq3OkjdKtaFMPXj+u2jDu2Losouh8n0BTX15d/EiKvUWigZE23qAFN3ssRoegqlax5hWVP1Ot/YqCH1GsczfQQqmO5FBLAGXaxPRXMvVx2BbzNdZ46Ek/WMyAKaZqlGX1e2RHU0aRP/d1hD0Hnw+7pfqAN2w9Rg4+Su3MnM3UvrOaZ/czM8TB35meuJlZYMZIC71DL7jXzRrtzUIgVe2niU4jUfbAa64Sk6/6GGadMUbdrAXq7YNsfhTLjb+rnp7dsjB2vwdUP4V8uUguqSz+1TsMWquHSzwfNPoLdhPx4Ym0GzTBLG9Lse5lha2x0TplbllMuQmDuft6NDXNCvd6b9nXK8mcUJPQe6h3104n37yP6vxh2sIWClwvcFS0xfGNQM2xG0+3cl7ImBfU9HtOQOrGGKP9IOaSD0J0Ol22j8zBz+I7/mMI8TkyPTH6wFGD0ZSFTaWE8fuNNPwK9Xj8IbfH6q2BLIAhiR9pvSajxmzUMa8jfOkJ/D38zmeablB9GqwqhZRN8eJJJfNUV3aoUWifcmf+T3fk0F8s3U5T44bSZ7khI3e43hN+zVKl/1VzPsYR8RvwoApNjmqnrlnJj5jClNgVVVzB50ze7cxL9znwOjXjGSO2BSNxV8PgAfgK491dF2UPH0yE1NuDG5nyl66RTnHBNg/NarNe6bQX6dY79Ina3mz9km+XyhXzNYrzai2sQrYQQe4lKFPMDh8n0eZZFGG/skkkpFsk1tBQwnT2ngB8BwCR7mr8qVr3MAq3puxQnsnBhVee43m6Y3J8PZkwxmHyOiWHLMOKwPh9yyAu3P4ePJxILKzgdbvgEOQ4IJgrlofXiGE/DcB1n1dzMyoCE0kK/tyy+fzsV+MevoHG4JZXgC+56Y9sQmf15GW8RisqnYpwva0jL3DMDBfh2GjzxGKX9uN6nmLrD4DvzHpWHo0WifqBVXFTx/pYG/Xf/VR9Wcz+rf8ybnBmP8aWJy1zPw6Vl4V/Cv39j2LeU21//V/XPgM/s6n9/kbv46RdPVxFeLSF+Pq+/zPvTOXQhrNikaUPqyazywLy9tvtJoeat7cjsJE8PPzV1ppcLp5xzzoYkIDNA05L23sLXFokMX8GWmz9OAA5JQ7sem3jKOFm16v/OVl6AJnyyWoAfbK+1hDCyUvOxG2l8eEpZ1TvkHj273o+kgHV9M7cuVW4tFI5OXvX3Dxi/TvVsz78ptZfr2pvm6d09B8kP7pUpH5ZyHbc6cJC5HknHQCCWMhRzJi+d7Cp6ECm4x/WlqILATmjiJlAfsnElg+tS9WBjpPmdzWQ/AgENmnaLtjQTc9B+7U1NLhH+6XPCC9zZNrYunQtB4wx6Y07cPz9vf/sJg2xh6B33qv50Ddicjx7xf7oJ/2vmw9aqBZ0frtgGmjCqebHKET6LDX7WLMiF0AFqXUSvBjSY7yizDNSb26I77rV2NwF5CvmrBgY7mXzVCR44SCXvhUArg6oLokyAs1zI7dzqoUQm62ltLauq2zDDHqXPuTd2pBac2L0hHTtmwxKwwdaGSU019c9ftsNHEqZP/+a/5i1qk4yYPDvzc0SWaAwOxcbpLgUWqkS5tlGf9791aVnXyDnO4S8XNAd/TEusB39tu5Irdg3vZmJqsWGxWWSQ7GfgHVsi7Gv1XrOOhpJwTZ2+fomVSqH02IUkxh7XeydacUzIm7fOQ2Gk4sSPYYCzkIp0Zl4PM8JpYv/cW/fRWre1HHoKvhD1MTFwXsKIKmZ3v5lfs99d5QNeyT3xszUll6olwNIGtXXKx3TcIbMPo9zV9f8A8Xc5cz9ySsyh8T4yI1oNlHxxe1R0DGwfcYu1/e7w20WU9rm2WFc1VxFq/tF5DiekYv2CjEYaEwj6vZKSrc8cz0xtAiduThsAtYqGgdUzNtJsU7dSwaZeGy0T0dFcofXKOTwdnMnf2bh7qHwV+U64a7BB/nR8Cn2nTW3EmI5lhfE2vV1sM6fVg6WtjLavR4zw29/H/PMXs03/5yXMOc/JGqW/iH0xN5A4LdhcF/hHgV2TYVukwdxh8DnH+vWIqdNXbUelseWa1Oi1Iy0KO64648C4XIUiUx4pWkaZlz49qxC7o9Q2l0s85DzkKXez6RpeYYiY7xiZNrNBtqBoUuFoS/XMp2M/XOUDe23fwjVe5+hz08IWILWFDD75bS+L0q+kL0SB8UJaXAKeC5prLg6W+qk5T1pGhchQ1fVGawg9Soyc7TAzz5r0KcTiBv/VeDFCdUbtJB/IohR7Ax4+1tQetp1beo+NZkGct5CUPwH6wrT7HyePM5AHWm532bQLW1Sk7bjeR/Cbh8lT60yOdEqAk7borvbq/renX/GIA0FPteqLJQ7mfXrO7udz0x7OQ6ekD7KCusuNgk+UP2c1lY01+1pErcPr3qUhOpQBfpE2cFDpmArRzp35SVwYw50AqauJaB7nYvO4CNIn7ayW2wImT6SljA0O5VT+3dSQXxVFVUv+e64QCX+5Bjx9x2NxFtGyyrnwCx+al3Xq8n5cUZqhy0S1b8a50HgvjbZK5yPRwfZ1HkUroO3PsIA8X+A7dY5Sghm1DolFZ23jDaLvKwdtkFPTiSr6plXlZB9/dpdeqUF/ZQEB/wJvaXDL7/Vmxy5M71r2xE5pHW/DN+HW/LGGOgypsNoSbmhDKS0F755SkB2f7BN7oaYHzTLSMdXKnOE/IQPZcozx3mwdhbZCPjQf6a9+Y/EbRxscVJSl63+SODFm/f2TMezH2HocqawaVGzancbpJ198za4+OeKdcHzON9imslJxKBlru62gTC7zH0cRRyVgB20pUanBENjrmTIMPmz8w4pay/YQUMpf6/eVTLpwtWRPzHQ9Nn6/9I2Uyyfrezhz1RW2EpKPvwCw71ocbAvyLQ+0QLXOiE3OnhGBOTMztkXMUm5gs0zfe5JIyjjUPLxb5iz2YAwJ2QRThNbdhvRdg3UHLpboNRIid0pUE5szJgPNyYNTGKt2UZms6ZGs5tgvpiamPoOuRf5m8DLAr34TiXI2Iixh0SA/2e9Cv2O+VFfhYOVtgNX47uJ+wzrWTd75mYWtzZ/oGuzjhUcq0kE8RKJ+GStMRtbk7PWSQ5Gkv75SV9xSYODf9hL9u97prf3JDTABkIABf5xs/JJpy1SnYT212dEOHOherDsJ7WmB5BH7K/ovZzIH3e9OTFAPfH9xwU7NpElQ+QWPCPsFU9NZTmjxxwU198utZGLuYRE2hXrqSpzGe63FvanKgqleCImAdC3h3wFogGPPfnnaoo6ZWZC9N/Ol3WqBTI/hPaU07GGMf9hDGJn9o/Lwrxgc54mcaaFiHv5r4VVP340R72/RHBQ0vTMwDMMu+5KoEbnSOsJpoPjsi2lxZYBpGqf1JZAu1258zm0A/kwH8Tt7Q7A768n5w2YNofJFje2IFuja2OqqevBj7CuulNXUzGtOrj5ITg33VgN+hiHumjkDDTd3kpGrWhDfCljhMnlWhr4qXoCV9amIRSnfaKYT5eQA2HSRNzZ2Vg0FraYuP8hXfu+HB+/Vc6BV0fwobX1Q0+a5D1Z+jh1OK7ZzZ05y7uDT6To3vDjDMqPppU8VgeV3/WYn2zn9r3eGuHKeBWLPJq1yb3XaipkaQO42v88OmxxcOz1QHpufyxqpg1zBHF6YnQt3jR0Xf3QPYHhyp6bhqIQZrU43qaPLNKrv3QO+VBwetwH1P9luHboI1hNvz7mbqqh9rZ3n1r7QqWNnwLCGOJhOT7QnGdxXY9XMMTE/5AO8RcSG/Je1dzNoNdpCV9o3Li+zBOxLCs4+EJRtpeq6L7UflhM9qSGEMF+ds+oi4l1ce4p6FoXe02oWCb/+NwXSkyVdeSq5/mkDOzWB6GyVShKVdCzQ3wGlST2neT1kdtD9qMLmf3gMP3K5NTAf3v2C/fNQ8OZi65Azs98unwHtG1TidgOeeFfA579WbCL0nj/XU9KALmR4FR0DiRJfOdOQBWsmoNzTGNmPLpeHwudZ+zeOppV3qcot8kWFb1D3flGwGypv+Ym4zjlm1cmCU7HEChgEGD88FBpuEXWCbksbvj8zBWLm/NTB6UwMnDT147cTkYP6cAmWzaKqaiLOyQ4c0mmccawJrQMA+AI3sveqK7Cvdpk3cLynfO78xY72Kagts6ujfS/7uSiezT1S5pPh81oXf1gXGZ9ZaJscFLCAma7IIRubMWaraUQ/DqRQlE2jNb3imDY7lay/reuCLBO2ggCOx6ePD5ogwPBJHR9JRBxUibuIZmbOHdYaDM8Nz9jXrc88PGfV9FWcbjvglRUTnJu83TlzwJ+Cl/Z0Msw1o/9cZ7O7gPNyGgb8dtd10aJdx8uRaeWpIBhkhC3O9ApNr0EUfJleuAf8oxVI2BXrDOtmdQ9CJlFtHS+IGGFgF/je12cb0AWSxSnKHv+442Dm0b6cQB6mJto+J0fS2HC+PzJU//Gt+lqNE6dBWfE1SGVnP/Lk9KSR1ylQEY3XNnMYCDQskj/tzHz5UwJ55v8hmwOW5aFzYh6/cQLsZpt3RScJaG53TeCf+ae5Ch6wgbu5oeO5yowKSlZpZ9YCSfGge4C92mMuQC/VTgYeULF3LTn8RgTHpkgMO2jt2ZpBjnqeAV/+0+Ti5tbg9KjE9MyHbamyl4XrQ2hktkt/7fhF/Phq7fNII8TzCV+ANi5r6jMzUoiIxsCqMvw92N6GgUQPFvB3M3yGH+WzY0r3Oe88x+QDcdXLQlPD8JXxncIp9hwhmU2e+HaxmAQUdqWi2RL/fpIV2Tgh0FbC/NPGp1ucCjNLLQOGS6vEkSksE+gBzAtq7hc/5i+0pQMP+xriqXpdpJEcZScNWwDAJ/GSm3E7CjBvbuL2cQo3AL3g5n0i+quXEgaN5O+SivFYoaTlqv02NlNTU1XQSAmMI3L687lPKX3/US0E6VDIOCltI01s0N33ARODLfLDt2p1K0P8itT4fsM45jCFXEU9SC4FlMj25bI/1ybfkSqpYgxbWYwUwXApPKmsKX9o8dRMvs2D+Of8m/f6p+tCmX3N7NlWzw8QCH38/x79nlW4dvDusn7+yUVoZz1wWJkfcs405GeeBfkuDZAZdspa9+gYGLEwlYdBOf72DcTx1xFIp6L99Hcj+3OF9NYDNpOW9ivWV5NsgXdnV1PFPgU2w82mbGiLHJ2gBV/6epTCn2YDu/sbPbcS+tvDs/Ub0eiQ9uhDd/uWawX4ZVcFAb/EN2MQ7Q/iHgU4AfckbB2ciRuDbQvdgtdcGtG8q8E/Zb91U2B0r2pJbn/cGnqHkE7ha/+3oqh2PCHBg9jzttgzY8VX3YD73HmlGaTfWZoNHZcHvHdL4/V4NmQu+MZRCZnWXDKAcn+n6aaXPf5t6N7+JwZuARUv4E7cTJz+S4x3ojRbm9kNZzDs+t5cm/3cF6f+6d/iNG1Hah+nFb2fTI6yQXTN48qyZDVooZuEynATaCXHbsEF/1HHpwO9s8pG4iqIjW3l3AJ4qx+yJRVswPX2pYG+beBksSEXHl92Y43xMmGLyS4R2DJoqILzdnXjrcp45uesDw+BvhfxJxEABFjHtBx7gUByY1wiHZCNG/xueF/YA2xwcYFb7AsyYtGnvPcXI1tL964d4hz11wMy7C932gk8l6M6nAO1XaYSYhY/A9306wPc5/RMD66dob6WW8vGg7ucISRHtH6Wpn/v8d/+NX42ngjoeOgXIZtaUsWH7V38ePNx6FnZVBe1UUvxlehinFAvQiCdpgR/q1NyARmvi5q4imLOvG7zvfj0jeK7nDOtW32CNe1RImNOkk8XeBfZ40MLHeaDLbG1fPuW39mVWAD9Qci018AoCCgCdcw7nfW7jnIy4FIg4qalv6rYIfNRJjMTUQOrS4nIFvWqVJmY21roatsestxmh3D06coNtciL9K290vggUOhw1nuqXTbPirxr8V1qEC/z7Mzf9zo3lHEgmR9NbSrtg3w+ViV0XN7cxMXuU7Otom+M+dYlod4YlpLWAH0eRfM4/VT6/emS04De0dJYT0+oonSQlg5zqcHuXkc7Ucz5JVx1FzJw8BOsKmgeDfTg8t5WKEuvwnN/kcLHAR5l7poAUydGwSiXmBP5us1U7onvdE8H+GtBGRhxsAIF/J3kFc5wPDxdEBFe9fEst75k6dnEOeAzMH9amTgCHFUkRq+0kq/otqmFFlAXzTmw6gE3ogGcLIi5XYIovUuDXGVFcI+nSKPVAn+mcLRvs+pF0J1PzGUnLPqpA+wr8f277E3AINzWewY9qEc5+o7VVhZ8mXmYjou29CRtbDNuBhMtvTCOJyU30y4uxPRxjH/wcYmwOcqFy0Lp+bXO7spKl0XihYltkYi5zE+/PwI7EDfgFTMFj2WfePqSdrUTMB/A7/sHBFJ53UWzr017tGra5V9bfHf1UCW+HRz0yZlk5TwZY7ybv7a6+/l3N/V5ubcNsbO7AgjpjoAcdlYEtu+bAhSYTAOZkoxzybGj7FPHk0jgR2FJxZaMnrI0P4vzVaH02zuVOe30kVMMYfrpN3H7hGMVAsNVxVW5p2Tbp/CSNtDwj5R3dtjjFKE+F1M1vndgWOMae2KrA9yUlfA6VQRuk4dTiSMK4y1de9gk0k8AdrwibQQsvVy50kDm3ex7ul9LSXt0RWXd6h+P9koN/y629A9r/WLPkwF081da85M4Wge5aqCU71ukLaLKNYKpvQG+JnrxiRTTokpMas2vjEtCi6sS78CG0/31i5Jg7F7ce2ys8X9e4SZozL8i7ZmmGz+UcLkAce5v19kU5U2fieE+RwiwEHRiBHrWaOxvlswr+zkV7zuCbeq+nYcIY2Ivf/uN2aXpnC5NHXCHmCLBRuUYeGXkAn2XqmbhgbzFo3P5MEyS+TMypZOe+dUFPY9UnBY22Mx30CffzXw1JpcGrRvatErZtemyYO2vQwa0Q2y/gGnJ0eArMPwuWLOq/PjYOifj+FPOZB6aWmskX4FrQT4cEZFbR3lQQS4EVd01+s8Hv/eV/nfj0wbUUKm5XWNtIOjY9c1PXG1Y3ki3YiFUM/CMdZHUOPu/SQjdgYF1TGeVFm3HXL5SrSjosPRMYtDs+Aed4FLwJ0Ope2eQVOxfRSDExtkFeTATGcS4pOYBWBKrDhJuYqzj0qIP3TcgrOkxp2qEfUy9bxjJTo6n22niScuMfYVynHQYKpiuysq7Njy72q/Cv1v1XpsHu98RKnSQG3rV+ewn37cQGUxe3HbNO2+AjjqnJmRbhKjvTk9gvSoZW7qLxxJprRf2PPCQOUGd5NOexazKwwLeww+41rND/zRfoK50RGyeZRgmsjTgb8Rf4SlMD/nl83hxgo/k3RroHHo31hez+uaeguZNCx0dn9mq33Z+1fJNB0jZslqTgZRUtdxnwoey9JR3063zDU0EJY4DiMzP3a8nIrUUAR2DR+fe884kC25ON748zrPWjY3kyIiYu7kYFdni05aJjV/DRF0yJ10TbGH7PrfNtmNsqwc7NqRz98pXwzo1TDpmNV1MBpb/yGPx2LNfG3j8Oa+vmKzL5qxnYb3N2A+Oy9+rAD8CXPgn4ZEn3Xmlf3FLzAjSTUw3JmwpasBn82Vhbklnzq5YO+B6yk6vMmTWT2iHm/BHeH6em72Mu2gMPE34KW1fqtpS2/sZW4vFBHXifPs/IlyUjPQ63VxV6Di2m+7mYMI+8Ux0luzokYdrxV30APw1b45meJU1s0y8GmKpQ/PJIrWUUMYefa0Q7rhtKlpOYfDb8xoeyPMQtDj+fR1dOTWhv4HudpiOnnKrvxmqzWpNvU8ewWcnrzPyEw38bYKXvZvUHzP03HJkOSnrHXZMTBevqOR8xWNU6mi5poDbNQIajldoS/G9WYI3D9nSK7J5QXAmRPsFnuJS1BYkz70TlhDv5uuNIG2DGUzT/pPFkImeBfVMvdVpUCRmndvIEu5pnFj5R0NpCeAlnMDawn3NTINaG9eGmq4nDJoP+hjFM4e+PxloCU2/t3LUD7f/ie51UoCflhJg7GhKrLg8TJwXxl7naZtToVd8qe9BU9N2rB5mXXellK3Ly3r41tnrLDXezf8Azvz0lhRlLmHPJImAxs7P4/8VVnhD5zmxzVqyPlTV/4d0cNDEH/6znzALNsGaesv0Ds2BWQRGq3VzUAdi/wcQpzbIGf36ivXd0Nq7J2ZcuiuhIjpiRC0VTL13/rxa3QPuHjP197pC3XCes6r2vKk4u4IuAv0ILKGUHM8hk/s+VnDjmHh24J2p00p8DGVcDA+ZKbO4AzFkKZULvQKMlYD8v0sTX9Z588YbgnFchIsQmOfCxlQ3sSovPDXO291QstOmJBm3vp46Ocu77gvqmblGcraWHKe9xB5TXb3uYo03Gtpd88G7NoEkdXe6p/X4/WPZL65Uw3yWN+TcdJYjX5s45IhS0MjX3jTGS5GteG+qjOjb5JORZOVvMkdrVjnpKa8ZsxYk5OxGFKkXRgnLFiKxkL8A5w/t/N85f36UNYcsTB3h3WBGV4+Sbc5aD2y9gf+0TB21sN3cZJ3ZKwY73Kgb/p2H+OPBRkscyOLjoA9ZDmQm85kHi5iiJTqEHNjt8nhAqeMdfDGAf3EkScbsSZwE9r0y35OsptCMKDIWty4PHGnZUsm/AApUcBSavAUdtkQ+gR4M25ZGpN2Znpo4Z1iQsrZsHfuxAotsKDLBX+V9+CoO9RInYjnkhkWDSOayhkwGPp5RdmUO6o51cwEaFctTE1HCtR82AZ21T2RcXoNOcRYLt1UTsn5ndPjEwVWnvTYzvHpR5Tgr1OmcDXW3i4nQhKF9Y1Ca1yZuOEs0G7546XlEN/bNCMBda+enYr8z0Foz+LeWAh2zAM3Dyk1OMZGT4Az411jmJwNYAm8DeyrD9V0vnBFqwPMclzJl6pOPexA4/z+FjJbw3vo9WI+pFpEsMs6T6ea2HpJJiQbWbEKB4qxy2e/bbl3LqgTW8oyX1CfFdM2JYo0iTAL90JTCZPylLhowir7a2BXUzS8GoU868KkI7xrGNx+mr6t6XM3Bf2euV9uxZjezerHonnXStnRb0RhIcLB0qC0W1g8baRffG1C2y5lec3tQU/sPUiYZ3uKhoa4NOIGRUhPVeCH49yTqZCZ6M56iNG9E40p6CakAxPNeEA1O3RV8U1yZXfzhHHGyOusoeb/KA/FSGXZ/bF9twYJsHzMGhduYwh3fJhd7IAnlga/rM4TcyallZLUuHRJdjY5XW1vTp0dQJPVmwjeSYgV66CMN1PRkYb2FPJ11WAIuGOj3Tv56tHthy72j7lzMwm+zbGLQ0sKHlprDW0l6OYEs+SiFZ5coHMMLhDOwKGuZYWu2Fgw9pehXmHWivCOayn2gJjHSOE8mHfiMCzBvhvTRsDtoAtO0/T5qzRvt9Y+pXpuyyEAfFuem56E5OGpPU6Pyma1bwZ1oFvY0HAFyHl3XArBPCHLR8CXbYS9k2AH9n4gzyJgRtx/VfPmxJmVXxyeQqm/inm4z6Z6kT5wzjXrLGTjkvzvTdqvryWsem1oykYrC/TqH6Oa6ZlQfIBt57Agl4hk9I72Um5Spd2+/G1JGhf9yLMZWtiP3bmaICxo+xkLRl17sV0CL8lZszPx77Lo5VzsK2PFjJrND0IXpZHezeAzICvat/zkjvGz1VwOQxtbBO++0DTGIE7/Z6r2/ZTxj2+6kJ0Rel/jfut8tvnMKIf1jkpQ1KUNYlA2hz0JLWkw06ZmL6UmLrqXBvi6IEO9PawANTHbeD4O132mGS28mDjxqM8V+++RP0yFcDWoP35ZoVSc6LiTXh43kSniRW4kvYq+ADMuLMuKFIi68t8MEcCuQfMisBrk0Et6QAZvFgHC/AjWUDc5mzmXGtqsphL7vRSWbHUn8uJ9aGpl4uPN+bOQcT4eWOA36t2WJXqM1LW1MSg69ZkzADujZx0aLnSWOpHaPvV+kQjZ3NnayJAzb652Crljjbj4b95Y16DedpDb7E1MCgrs+xiX+K0VwPeKdsVII2fis7QnLQ0Wr1jxWDPdiDtqT+KeO4MPnLwC8/1G6B2YD7LA6fL+da+6HU7wvojdcd/dI42v9lsthfpPBiBuucUd3D+lsqm/3Gy5xNLrPLf1Rgamzt12ptV04lxsI294s07+WpQdPSuG1arTwRoz8AVwCfot+6CC+tl/WaYNfUhjR14BDNHMtSAu2Uw2nDLjYrFDCWGpogOVax0jRor2edpPBsbT3YTrNifO6XAMccV2O/qXr9BtyGs8I/0dFfVbSsL8bO+hmYBezrqr9TK3kqc74GmoSbuPbh3wOD5sGB74LA7XIhE+AqYBKyUWO4Adb8btzMpYGyOdLANdtOrf39FMk7aJInDxerofz1XW4u5qHpJcl425K4dPnAdeYkFXgQB+aJ1R3fNEybe5+MBHrMo+YJezc8s3/2uZ+rSpcW/toepZUMR9hvbEy6xlHfxPQSiSUiRZK+7h2441WmjpjiUhAw6JU2dTDD9RzjD0wzS/YyBw02lEz/ZH2/AX0mmth/Zqs0vaG7fCg9eOcN+B9E8tkyPQGYzceyuDxBC7gs1q9+Uo4aUpdTVIHOQaBJn6BddTVO5bknjA5eRS3v7RQmNrbUFYtkkoO1lOziVJpXYGeBuWfEwAflg30oxSylI4uDYwv+m4N2s6T7F0uswRfsYM1w2iccnivhIeeka/tUYKHs9yUV85ccQe9T4gDzmtrLaS22Jn6wzKiOTjEztVBhzpK3HNZhpv2vRtinEvRgqkvg4T97OFNYndiCfZpvrdoNr6U2NWcUKh0NY4QYZ8tAYYywnSwV4198xR0DogE/6KSFPICWvhEH7GcEe4prUx/3kK3AcJ3hHmtlTvtXHwBHm80p5KcmNr2gyysOm0WEiVtaG6cC33k2999fW9jzpC9Z7+b9FJ9C4GOXLMpukyrM7rmNj8DEsL/bKEWllVvtmINNp6H+OIXzq470laHEkYgtArxcztFHRRHPnRaYb3nAuPWgdzpu+qfCFiX8v/6hZ7YV56L9YHErOCVJSU2/UkyxlTr5SCQLe7uK24P6zVdMXnc3E6z1t1pYDuP8hxd6AS5ZSoHGJoRPHklAov6Rs4edUfTGLTsHu78D3V/APF+IZb+BlsCgO+F9vYibeofC9mAdRkBYHhke12zkr9hUr9EEPtE/1bst8FgL9oGZumlX03ux6k1tS9Dzu/kEmvvU2HoDe2Gp3cuTsPRBEMa1Y5egtb5Ut98wNK1pUdo41JiF2+xoTS2j8nWv5+R2s5Ya2Yr38Ht+CjS7ZGIC3e+NtFO78/BY8NDmx7V9k7ute3CmOzDTobKnD2ZPKR/ZU/ZekSMf58M0Vo7yCUMoY7DGw39XOWxeGvYndSfvDNa91L5TDcoHHZ+avpP5cAO7Z4pp4Ufp+puqIMCj7bfJVWngM0lkE/inC3Zb1vqyVEG2KZlnsYhYmLYV8PShjpaP9P/qAzwF254EalHa8UDs/v3Wji3X3sTKPlMgCY5Co6EQi3iWD2r/m4/N+e0Um/4wrSj7pK87vZ4HXOJ1v0nzrZeOHBiZWUfr8yp66y//i/Xbj3rwprxXnorJW+b2LmgccrSJAxzZmprqnG1/4Odv53ybplFCRZAcaqrC2jHdT3ShRHLFDN85w/roJCtGk4Dnt/NYlzl75d3M8hwQ0Hr6yql/obEaD666E4cTrH3aIBhL4d1yGzjYMrXl8EZGE8UFTwXwZ5XPQ+0sT7Mn4OcPAWsdWHMF22yLaPYkAp8iPl/nUR2xW4qDHnwHvK/mYdYhziO+y12VqUhP8P0J4Tg9BW1HA9CZI8+qwQbNh7M8xB//5d2nm8Nz9mAv9VWgphNXyORA0R7WmPVXf2M2PYPSAXNlXdwq2Jv6qjdYC7MM/61y0IeM9xYt9JMx2dXD5mr6gsMzMPDvdjlc7rzrPeX6sI4uG1Mr6Rw3wN6+YXJQoSpL87+edwRsRVKZ+3/H1CuWdzaSO+zRvTmLPYeyAH3ly8gz/cLXNGyFHNFdRbOoka5MLAfvpalG9ZaPiVAUx1nn91gQD4vt4ei2pnbIi6MyQvkefIImUWNR0wejn6Pf3mGrb06mZj6Ua9mZPA/Fgf0OAmx1joCe+m3ETFyWqwJVmPqPbQGaLDujBBa8tKlzuUpGlqrYv76L1yFeTX3PBjwv7+efBklg+dsqxtbEgIB9NBpACrki0FoklEwHbJhNPdFdZV8sGfd2CfucjhMzsSOUgX+2eEGNDbD+bXJYPy+7YeLhc4F/1Lj32Eoy+G9quvumoIhz2FvSaU3W7wl826EZPi0hJs1GnecOwpW18aqAk3QghLNpD7Z1SC3w2KP6Frv5DZ7+kcd/PWiSkk1AKzg+7W4uXs05qopw19+Pjj6JmFwq6r/VY+/WYL9gz5Jz1/7gQeNKJ6Ye4qa0QEszcstGH1UDuYFttxibwEOQwxnml2j+l1N8RogqoYNSywDYWbA4+QLfO1c2/saxT4GZw2xsv+F7S+KSj3rl4gz6ohmTHXOTGTSJ6UOzAE8vKVNWOb4DVyzm51Vt+w+sp1fuklUN04fU6Qp6gvN+v6R2O5n+1+d+ynM2IdirqHQvFnf0G9iCi4wSr6SqF183F+xAlptDOvg+8CdL5fKjRPzGNcyms3dqNKHGLf/6PApgqHRAoQJePpsqzuAYlB16jWijTOAHczYWF61DrUUSjmCFoTxfyZ5bJErDJZFu28HaOTYM3dKCbHJnS6i1lTkljLH5G3TWi6PujJMsNfMrplsjtOSG/xkXueZOrkPb9Hg+w75oOnnJuTkXRlHat10atftqd7Mw+EUGfrFi/xyyou+8SH7yFU8Hi39VWiXZKF9sY/NYlqll784h3rFemvrHPnzelxo/F9jbgxDJqHjogJ3/aHb/bO6k94NN7F9G4DrOBpWcY8nKbn8nnTYWiEnL1CreJpiBZe3+4gEC6SxtplFhbMopwIdKfD7K1Qf9DXOAModrboFWmBvHXo/O0tUcedyWR9EvPgunlIzsdx7A9goeeubs6wLzUcHPM9XbN+MHXjoFbGVKTZ+loP3J1k+LxKpgjB9zNAFX4KsopA97ZOEsIbU1eWUxiXOcOQTtr/UI3NZ7wCfbO0Pgaxn6AV86GY3FR7ypxDY6B382KkpBb9EY1JtOKlhfnSpMnEIGmj90TsXlDmNpn8SndzI1wYcEbNPyQTVw5qpNl9wo5Qg1YbjmXfPE0azlkFSiA9sQk15SMkiwe694NmAANxNg21e1NM+b/dsvkfq5RJqw3nqcirYF+1gdLY9hU+t78CwV9F4tkvjM7B9zQnqKec7jaUPCh3fuN86ZqrdmaOdSKDftk1fs3FvNf/v+fOejJhXYOOkkUqH3R8b6B6zrqbRLt3r+uwI1PDPnsUoG9j/+9M6dtpU98UbMnAaNi02OQ4C/gB1/TL9Otbs9ZaBQSsn/4rFvT2w1NgM2Vat+O646kvltc4obB/M2Ab9SwtzmwLP64AK/m/pCYr6Btb7S5/Z44voKvrvF/fQEy7SAXwMexm/nnj3p2magib5wr1+MfaViuab9cqr7bCPZdl+yrdXo/kHG900GnMP7BNQEYsCMSQ78LjoypD0eTwWCOZW2tLwbKdqc6N47MdhfFFdUzOu59zbSZHiF3iuucsXhdMH9lp0HLn9r+ItwU5te7v3WqZC/PxcS1/FlxQMeG4GOTbQVlGabs5BT1uOL6ftIQz5V0ZzUoIQzynvwcxcc2R/Y1CcdEucVj92se7vmyW9MLgvkT64/LTzquOzQqeL4ebS2+5SCDgl+a6EfmlieQH0+QXexhu7dg/X5aJBvY1jDucaY6WalvR1zDRyEpoIP3usM9sYHooXAA3W8smK3O2j38MR+84f2ciUe4dM1Y+pp4ghA7461xe9gkwelp4+jpd5kAc8WaVPX39R7pWmMOfghhxaXjamRxQP8yr31GAofFSW26Wma/taq0YZVLDXKq2FDbGoEWl5o6nfyTlXn/B/st4eTgo8rdQp7gu/Bvl8qR0Z11Lag/Sc5Ym4y66nwHmn/qiF5u5vaaJRyv17Bpw6KVMAauZVcQB9HQuuV8eyOeeLWNn7UjreTz617tBBo2m0JLD2XTIFN/nRPATF16u9yfF/K3gN/P8G65gG3/mJT5cGdWoW0LfPtHdgNLJT6VmJv8pkY2DsPxitrHJ5Ll3t4CDdEzK3s1ZX35EKE/q0vADvkXsOfPzrbPu0S9FsfMd+G5pyvgRF++eXURleJyFq5yKcuAtPNuQS/ydhmYRxfKqt3ans6sBjZTOOjEvBY/dziAZ3yHusccVhfWkrTB0n/1nfAzUoqMYZPykvnXOi/fD3uoJYP8poWyb62Ng9TxawCSlCOfipTM60zfXxLDxg0T63t5mB5mzTmP2kMenAE3cs+3Vyg+AiaNv+av7gNv0sTG9bYs1z1t+mY+RrDcpjn3JIzA2ZXBTK5p7da3K4q5F0q9EKYwtWAlsyC9ajJjrApaUJ0LAE0atqDH1+oDDdPNhDQ2IvHYx4dnHA9j6qrV+U2/d99Sgzc2KU0uWd9CExNgIW4DXt2JYJ85TqJWIiiivunsielQsrBzuKDL9RpYHpcpjYTihDQXfDOGfjJG3z3Qq2Z8d7mwHtIBPrntZe5jQ5V1Hacwh5ZOVK6PWbO5X58zt2JTybHfqy50uAfeAk2uArVgfXqAOsfZ51MBcJByRKeD2DDrNBicfOEdfJRRfgIGjtu2PSqP582/b+HCheW25rmVv9UjjdlA0640294ocLMsizQP7gJyL2y2QZ4qQX7vyG9/aiFzkTPpzrCNvvt2zpVJq9L2lMEbOPVrn9s9F99gFUWRt+3lSjQs9KckSf4covv4M8BfxNTG/iA+2VgK3JhvG/UgpU8tl/YLb3U+mfuBvZA4I7RiXXQXyuNHbAD9yafuzS82FTLVz2HTca8qRELqWxlGDBrTBxZv/UznYD+bK50RaaOt8PH3tQkAk43c4CAo8lvXCnvS6cRJgb0/amsbYht/AZ7tVfcd2B9kBN99fO93dMVgYadNpgmewKMhL9mG3/9u5bj/m7O849OO+dFm2Q8AWayq8bW9zpoQXuVd+xOP6nt386iBYvKf5og8+QohyYol9RKFzl4h5yWL60HNt63zjBqzVremZ5+DDtjZhMhvAo0wRfYsGdN5a0UtgME8XGKphVsC9gHkyO6TcFHvVU0vJ8iL6s7rhmQPHUxMX09gQOHg61f52xJMyAhgYTzsB2B8y688G+whuwUuBbD55RjtjkxL8rj3zPVn7pLn9zE2bN/GxF6namPey5+9fyGxv2a2vrWuFrUrslhS9fcsV/aYZMXYJO/5v4cLVPt4oLpdi0LXxBOAsmJx39rgIB+DlKwqVumRA/6PDNxRq6KsctgD9bOxeQQbqp+uQjgNKmbBzG9GUNienfNL20uQp4ravaYXODPO3xIIliNMC6SZtrvT2w78wixknkOiacAs5vN3QZs0Gz651I1+l5tzc7BfXeaYQu+Gl2Uy3E+foLOJj+Cza94mx/g/BPwuq7X8Nqsn5vSRoz0rakLH6cIfCiAqhSY8jV85AFy0kDHNPJ+7w24rW5YyEoFpp+7GW+5qdxsNfFlDf1c67B5ngv+6uVnm1oidOQDiyVm0S///9eD8MvkfWIvK9QH8NCDje0GbI4Lc3nKgWjOY5LDPvypGC6qLjlV635TxWwD3EEI+M/fus22mvPxr2/FFxkTYL1PF9bOE/wzzZ2FC2HZpk9erYEXrHmT8998lBjG/kug/SoDnbEu4WlkracA7FfYuzBe3zA+JdgtRkJ+OvfqKQf7K3On193Ngwc+MIe6wh4pqhC0j/AuR2f+KcV8JX1jcni+88ju89CrsJOtlcU2LNoCH/GWI9Ka3tVSAIVGEsZXXjHbMtANJzGa+7bSoetfH4RERrJgtuzq4uKKHv/UcXMF7R1L0ESlxkMekhDm5Aj80mWOd8S9TeioTZ4T+uu5YHpbPWeUc2wTV7ewPtk5RDcVEPC9MvnzKQV6wPuA/99W4KMCbE0bZm2vJnOP9zI6DwltVrVrrMZThZ5PKDUxFSuOpnvKSQ+0eaTD1qbuJM/RxToJNdfR8pOH9jVl9pqufzFmMRsRbdjWZmO40HCuFC+B42FvUASCeXsgov3iq/9tatLjDrNKMw9s1b20yQbmN84jJZXJUWKt5C46lAI0OLC/QsyltH3mboJee/kU7p9SE1dpfQI9kDeoWWCvTzlr4TNbas6Q4B3eSIx+THZcw6ckjYEdbRWoXgvWc1gDwMiaZFUgv0/IPwGL4CpsQ+CCCY/qFX94P4HGqy0FC35KzT4p7YTlHeybTtOGYtBiaCq5ugLPUG63U9MlnTK98GKE88iruKOOpsY4M9wHdkKGSJAieWSWPbFQb4huX7E9SLooxgPMM5NuGiWljFSSru3xHCfC1GvNw9T0bRtZYfJxTM275sELdE0DoGqtcglrAjjWS9f3a7X6C7D10fRtp6BP6h5PmfOXkyXrXhl7vUn73ip5MqV9A8+kojTsLSKWnhfhU9nywIetqDiJQPPYfMAOWGaWMoRUhIGmkhPYxQ+TA0pA1MiBuTjGawna5hT93Vdq2dszGc35FclotHjn8eKee4xqqvPayjyYk1DEeqgFn0F/H3ixN3ftpq9Gkv2vz23tIFTFZAY96QEXWWqQb1XsLwyY/mC/as7MH43YBgfTr2/VvLG2FwWsjQv+BbbLVYbjw/YNF+lC+AXWwMYiA+ghhvEpTO7S4n5OP+2qwCVoDUvR/Xp0px6buoP/5e1LeK5XP1/7ZOJAYr5X4HMk5Vk2zMDvEnhvYQz18GzyA2zKt4j3S8pkQBnYJI26JtYzZmDvi/e14kiY+6gG3pnYHL5Phr/x9e7lqoq/WjqgU2A8mD2ynhg9gM6hPVfAIPUgXRabmp6TVQ2tzcN2OI8wcs/t5STAQ/emV/1lw8IlpbttBmyvT+CvmeOZEt6o5lOpVhmfwr9+bX7NJaNFAsIz6RkvLWzyo5maKFKgjSSr+0/QDHZBnE/rP+22XFLQRrC7TqZmCO7ULnXgea0pM3EnsJ5s4kxJPlxcxhKTW/2Kj5rrztfK1N4qEuDM+VCZvD8ndRqdvIFWmBvHo6CB3ggKvdI2vSPkzC38xtakr+zJBl7enDhhIiw9OmCwTaEtTb+7wI+UZYcy9l8871f2p43jdif1X413lJmeKwJnDCjY9KWuzH6P8Lepl5r3IFcjGIOReMz183PU/sD4HeoQh+Vgs2zlPQvtgRaTf46JsW8v//WRh8jna+LA+4AN9jw1fG5gLX2ISBew57+ONvj2LjUxy+I8WA7t1Te2PteK2SGnKKrR55115FtZQCdCE9LzvGF2BNp8JjwE+2C/OOpejsbK8bjqdVKHU5iC5qmE3JfDP+ts8qxR8p3R9iuPP/+Xu3R7gq/5IGJ7pM40HtfmKl/1pLhK+SiNLb6CLQFSSq0G/P4rJlAUrazE1sSqpPWw4FKDVnDVInUb5x36OYf6mAmPpAUOWIBG4AVm6kYen1uf/OaYyGsTSJ2bWsFuUqT2/iHD/92jF6TA/1+cA7VMzJS6814THrc6HycbO5ZlzrnOYNMqQ0H9AvORWlQkJ9D+1nkAnxOTQLG9w50ZnzV/wju+1aGdgv0Pz8PnQ2hUyAhpKV465eYqU9tezDRnPDDxF/lqaosgr1n7Ddh4Wpr+mL3tSUt/wzo4AufTzM0eWCwdYduf0mLPGvVOY+kj+IqMfm33pwB7YId86rRLjsjL9oKd4G8iRifuJiID/VL1IEGj5UOJJah4SxuUHHONFz6a/hsqbSL+4COyOJsv5p/gaz/KNekaF1YFm0sm9K6J7B9Cszto0kIM8+sM9odTyc5agYacQvCht5pzD/Y356ukeZjEPJ/nhi1XsrYmB3Sgwv7hwKhiREPNmXPueHSmQIf5za6EvcldCZpWdTAnl4pnpp7oX90eBv6EIj2p0P5hdjtTW0ew131giBYYPclHX2Q2fqbmfCfcmhpKUpr/0++fzSpTOSRvGLVrzXRq6l80sHfA6/yAL7mfR36rLfLKAUfwK0vmJHtYp0cBjJIZvT3MmYnVrMAinSOwTeDjT0LCnOGy6e1QcGDUYdnlWiIp2lauJBcR+u33lVJ5z4xtC2UHzOXWjvXKk/phY3OXo/8GdrCsCw5z5QXGJ4BmdE3+nbL+baRmK9ikloC/V0z+5G7rgK4uwH7s6xWYjpMnZd6GCfKsIoLAMk+qMDEE/hcRMvqz8/3Fqh0TX0z6jKMc/O79HC4fmZ0gOaofGWvNtboBYw08mnfZ4PXKRR78P9NX3fQDuFVIHpsAmfizr//+uz3iAtZkrLHpo/UX38uThWrg/j6554P+rnpSKGfyzXlj5cy/tbVFaPpmeg+jiX/1vUYL6T0nN718h8eGmLrOgld5p2PArhPrEAJfh3lvSrYkL3tYAl9cswJ90LA1/L3PbF0KJKuGtY/a0R6zNQK/TaStZRVtHRbjHHTcQ0X8g2pszshnJcqlWffAFwinA2hP9O4anUgp+SAse8URjeDY1ny3dUs2f2N2eaQI9oxNwL4lKw23Pzwu7YO1/QC/WdLY99VuWx3shIDVKGpg5hpsc64/F2Dwe6bTldt+CSMziEJmlZvap0C+GMA6FcA1bktyp22PK2mJyCzYV37eox2M+QB+9wB2Efax/Gi+5je+9ldGm0VSdgVeLA//j6tv604V1tr+Sxyko14uKgHRxBJygNwBcRQhIFWryK//Zrq33e/4LtbFOlUhmc8hmQcvBa8MSo277CDMniXiWfZTdOQ3hb3szsfwdU80SP5YODwXTcQMvv4tly5nKPQ0and4ExLFsN/4gJNJ9ixZZs+ivZ3jzLAPZxWL594NrZbxJLJdf9eg18Q2l1ufCH4hHXjf5+2vvw3eoJUszJOZL9vTCWNvejZDOlgcYZuvVS7xXZpwqNDZr1l6pR7o+lg4gHseePCFGdA2MfbAdZX0dA1yF/S3FEg4ZbBbdMBc+uqzlLAEucChI0lM2PjKo3zrq2JyAb9didor7tWM+1taj/+CzKXymIDz8NWeG/0heXk58vWDAa6ojxuvJHhbeX7kw+3J5HTde01AntcX9q5sLz2OQuDRILV5eaWtTTINxN3tQ0SmotFEapRmgN28sn0dnPXOvhvWp1njQoyLNK54GlUJXoF3V6IADwG8u/f71d5Z/zS/HV3+c08kQe+TSCRH8DSMu2/C3zo4vuWkaD9AL+FDpECXBfwo6ADf0bc5nBUyghr6IJs2KKVre7ZuODhb8DdDZecCOlNRMnFolsYDLfPyKS74uKud+2h7vQEO7/DHzTSR3tk77h3wKO3aUxWtD0dp7gyRLncFy2S7ypgWBHimBB9+BG3KN18XXIAf7wM7d3oGLI9gbfy9d3b+tI2z/q6B05mhHDj9cIjL2c67ywZDxGDAbwSPna+epNcf2iMPiMUo4+lCneCHjvgO3iYg3vZ5iLMHeFtTFvCMp/VTi/YEb4LKmL76AygsRQD6aAV/V+Rj20lgvLz752vX6vG0wuNUNZ6dYUWn2s64BmgA3Qj+Bvblpr+Ax/0mH7eM2V6tRW/vnK48UW/ajWZu1E6Chnnd0VcS3kX/ftfm/MwG0D8belCLeKudL098vD8ymbZ4+O2t+QH+Z8uidxdiLK4TZEA/POxZLejED2ZnySct4s6EYK+EFUJ37qsP7OvXObZLXVWISPyA1phsjy/u3SgvyJZzFcNzXsVodQB+Vr3j2rnTTBpYi5sQ/fqRwxrX0fpb2JwnZlwhiCOcW1V5Ch3lw6tdNWvggNed1IEjz54HiqJ/gl+88iIFz9EC9pFH023dfAkPJQ+ejfyay05N8PM2gPseXtQPeNUbP93YIb9dQXP+qKX9rrlQpJ/nnQ+4thGWY145MIHoJ9VI0Gy+nbHWwppsn8fBNdWGXilDWcnTRHvtpvKmfcZvGTEmpyKcS4EmkoSyjoNt04U7Fk/o2Nu5ytFlZ+c3LtFTdmRVR3/1Xw/g2zP8Pqnim8H8hjOP+jIOwkNser6h2M6jVq4aq87sazcMgG8O5WDzcCIPuCgEjyxhj87aDWcSzTEVmlY9khVDtvbyDtH7eofnqgjTY6I/qRtWh+i217Hm8LkR6MAVaKhzJVOI5eiuui9YL7LCdv6M9+VZnOcbkTWd/skMtTmU90NBUmlarxwMOPf2TXkkB/31+qysQuRK3exCwY9WI8QuF4IPaNPw272RxqFFM4selFOHOHeEoBEPMiMkH8GbR4prP5zr+CsAT84rQcDfzHmzkLfco2rn9x64lj9OUQUqqtOtJNHaVq+39nyp4pGf86njPhB0b0/E01YU4cbeNzBvzvZ++AbrWeTApbZnbc22l51vTup3RsJ8Odqadi/4ZkXrsL96vZuHx69LHc/7zAEPPripcNICvvfFzocjvHXyjl+aQcV01CV1kKtZ+MZAdR9HXQFecSmDJxd0VkX4rURrUxbPlOH5wMkd+AJwuH35SlsX3glDEegMxh3dyjEUDUMy90OZGxpnPWiZET3FgJ7MCb4lQ3ljVNtsoovuqFc/b1Pu8DmPJ57Bd80HhSsP32sDfMHTksKavuo4atsHw3p7prHk+ClG/WH1teTzWEt3OjLNuTGDNJNSSb+UbvPgheiy3+7f4YXaTvVs+6TCng+pEbTD712D8sEYjDTKQN+8PJEet49SgNYVYQceeXtM2tuhCCs6ZvMBNDDzBWCc6VgnzsfhsShn3lbj1722vbbjNLJ52aXb8sZBz3okQyWm+YBaufe+lgPaPmA/v3QUPxa0A08L+KsGvUndZow8zdtv8HijvSuhsT43sQo44Fv18Q5aSQwHqb+V7c0L2E6d9b7005/SQ3nVN+Drp3sjQqxPawef3p2d/7+eGIDjneZTXBn6hm2PajQ5FOKpHKNVdVpXtGjPYoGYcKcL4DjoChPbfGQC3qAcia8Q9qgzPUEL72BP7uxMD4jDU+24pLHnyGP7wt5dJYnNR38jkUvsHb2wucOFfuReumGO4WS44YME/yXKS9nRisbTlnTbyyFpVqXNCYzOi0pA2yHbg7z91IsC/dbOgA8xaOC0QuX/+umh9lYn+odFqGemBD0lBuCjkHqrO/ibg53hBH4/UNHNzZE5NKPttdSWsBc9trG9H9eR8ttvwIsf0JPAGVcf9GGS+7oA/0Mzb3qdA1xEPF+Yu3WaJbLreOCwbyDW1H/m/oHXc+arSkJUJV8rtiEZj64ui5onNeHvGfp/5x8mwAeL8NX5KNqrlrcOd7TNfXSpXRr8+RSjTrw3I3yGOkSt5AVofm99rVhLy99z0XRqmHJZ0jilG3a4F7fjEGDWG3h/SvJN+wPPvq15sNS92R1gLWjSXERyvihjZw/9zf6YygEdZDS/gSe5g1b3dKwy8LuYiWwmnuvrYc4qR+2PsrwDT0XVJrtUJgwFE59q04Aest4+CLJRbFm+xhlHPfVolhnykY+ldxTklXuwqcftE35mqUczgi8WWITkaCd+wB5R/dfCRt395gtEtj6TLAzhxzFyceag0dZs4qJfKdjHjRNcdNTmGtDW5sXi2NbWtp0uXp91XRrggtqekee3nwNLqwoBl4HmLZ33e+O1HbYzN2wdcmwKZaeZiD4A523nUl4q7+rjwkRVFGwZ8N5+iVY7X7/pYgKeRikF1yLi4O/uZueJEwbMpn2qml6l4Ef24EO33Iiu7PWq9mCPb1IKnpHXi/7Ew/wsC/MJnjxgpt3nUbTCdn5nTFbwHYaMgx+P3cMB6YIN78+aNy+/XIHOq7iYcgFagbmmF8LOiCNx5rWhrc+zOZ/1oN+a5w1Wx7nQ/jY2AiVNvHKOgGV5785VnObUbebaa+O9R9OG0+qIjAG/udOmfJ1VPoUjzuXg7uwst2xBGe4Mq0c0HY1Jy34O61GthNcvkoOHXdQ36IDS+igZ3561g8411xR4roR1cYQJd5m9tzHmSuX6u3JW7gGFr7kwM3DeNjemBSzdZs6UwruLjsyYxtaojdMBfMNewJ4Bf/goOXC/na07gJ7stw73Dcr6qS9dcakjsyf9La/c8gLaJ5NDQAHXIj3+xXKBwatxph9iUIia5tIw+gNSHvBNKcv3e78NZU/CnKcj5QEXXHHQ8h5weMpFyHjsXnJhAJ/1DFxDSkPCI++fDQrnZtQEfPwrvriMv+B7rsFfkDvoKdAv/2bhuSnwpgP7Hd7X+wq81aKlujO/CY6jyZqCr7Dzdbf1D8yZh1K0nbJeeJiFHlPwGUG8X1DJ0PSTL389xvkhmrfNQJxyeDhC3obj0N/BW+4o6JdMorB2lE89fc9sr+QeJbnTP4Crd9gFT10gWxNxbjgBv4Ic8EStROlMrd6R7yvBaSil+4rlZOeZpBrmkA3om0WZL6PbJ5HpXfnhCDpRVI4pZZSeMXBZFRt0tHlhEUmb/mb73oImIKtmwXcSbRdAAP94Wv/s3Unogv7w/Lrkw/m1D8Fjh37tYQ88oK0BcJXzcJmzBj+6/qlPN2P7K+6cG+ZJ+5G75tmIdObe7KsxjOA5p5KLZ+YFMY1ADxvKSo+gWiBa+WQkER2PZnrVtoNWBn0M2lQjY70IaBoqyyIVZPnngx8ts04kNJ6Z1TPgIR816l2VkLwqCAd/9gOe5Ab6LmYsfIjeXUSkJWiwm+wN/H59AY/wusueMlcxwOi9WjTh7rQ/RKvVUehPO4cQPvewc0zcRHxVc+rU8rqqwDfJDfFrSRPJRQba/w04+Wfn0lwvoqtdfId4dveLGGwOI0706y47y3jQZ2P2OPZ0JbnNC9UXMk4F6DZegqs+5GvAiOuz7Ndb8MoZYPgn+OPpiMRKm35u+nVcoVSIjYY1As3f8+AoJpkPXzNjuq97+sqpeGSOcIFTvjM5gTbGAeylRyO2d6sHxXPNuIc4fAZtTGin2HsN12nWow2PbjYHcq6kkTan2Oa0W+8P6zVIZhbbu5wMRFGHvmphTjUDSgRdA1hakDFtSQRYYdKHXRPwDp8yWue1mC5ymM62p1bN20jGZ2/nTic2kN7WvOvO3I98PTImbjhRPzwRuCpapYc1eP/m9Q5tnVSgYsfX/dSCPgIt+QBtAREFe6FG6mrzvTXoAnVaE2b+/TdPJXRAPb2VvoL/ryfe/fMOCXg4dwI8DDBoA3MEPVTHZlTyr873uy50ALp3Bxrg0USgasV0A58eV4OLqd8SMU6lHFRWF1Oun7cBPLUHz/PdDHMAfho0iNjJrlWV5zjZgFfAl/0xXy/cURNww/R/ZiGBL0XwntUFG9JioR/l0D/sHCxhAI9Y2wG+s0aIvDR6pWGtNQAPvEt1kMFO96uVsv19x2lbdWFVgzahSM97V7liCD5svlsupz/NpniKcR+Mou8vEva77r/cchEcfiS1eZaNCw4lXi1M0E056iyT4sw/1s8G1sn2j9K9+wM6GdcRsTNNlxr0EBvVHQ/prIZbkrnR677yZtdbg7uV0bTdL2mfW25KWq9iCjRQavNtHpX4WshiZtql/c4JMOiEEXzaJo/I9hjf2npRHneQX3rAjmz7kAN1mg32mWdvZF/35jcIx8YFXOOUpbaXE6m5zVUyLLe9CwpRlqNK9m7oHxIqGx78N58XHfaL+dk7iP12eZHvfsbMROMW9IXBOF//6Hi7HPjsCfC4r7ob0CsDYeqnGqe3fFEn2hMHFxMA4PVSicxtwO7vvXMgkNgq0HwsmkIRre4sCW94o4a9587Kc3zWu9z2I8W2j8sAPnEx8DN0jmPx0vO/81plryktej8HzGyiNM379Tfsg7m0c4NiZbD3cKiT+qAtCY3SUGxIx5PwDf5+Kn/zAkDxDkGnEc1qZobGb6/lQIjygp3aoNdnnUvX1qCLNu//c0+U/Udbvh07KhrvfeZuGwNH5Y1L8t/Z1hvzIbvUAO4/5QhahdGFOmbmG+4DLvzUnvrBQ7NULLK5DhcV/80OfsvNVOXOdeYSXeHTzg3bzkc5ddXSotwQTMazrSnzGl+vpM3h9EhQS3Q6SHXT9kZB3uba6C01pMzGkNV9as9iimYRMfWnkhV/uVjfmOFH6WbP3Nie0zeSg4+h3tr2YLYz1TayvyXVxs4ooTxnKM4H3Wa+GKlrDtloQHubFv7Ns+mwXz3XJzqkV9Vlbtk/5p1jpwn8nWMfNEod7mHwW2aLY+DDSEWVwx9NQfflgtymN3v4/Bs16Arfh2VWu3v0A7irsFivRvoUnnGrDXhNaeLczr3dEHuLctA2v8cj1ete71iIopLZkkvxBLxNDoUIiE8ee2/rYd+U1agGWPmLQuFIuArxCDq1vy7HUbl7bzJqo+bcQRV4xTiPlavH1vZ17zOX/NSDsvPqX/3Mw71HGO3CsYkdL+fIBx6jrL8CBqieSLTinfikMTlIPsnj+M9XhfomfWB7436WCyFkUQuJWhe0T5f36LZzyKEpvvzfmRH99ani22sfnvSHrcuzvRFvVwbcyIYpVKf3JXMB0/P1gMHT5L5xd0u7p4NYpD0FcZqA8u1FOVc3729TbjLX5paRiEQ7O1M1Kp/1YmfKtADc61eu48yG9Q5wRJAoAHcA/OHbWrDgQ3DxTV1Fm5juVSc85huKE1Qc5HoBvygq2Tuaz3Fe0NjWTYOmnLEwmEVXwNQgKP1toMBv8Ri9eh9ljbcCN633x0gf6oT0NWoxyddEcAKaLXoeR3ovO1tHoVrmgKYbbiTrIJ78qTtwZxZo+2A2Z8iIvEbThY5mOBTpeIS4YAZ1lfc32zTcOVe/clBQOvOZyGCT8VbW8lbsPOyCr+ZH2F/5x7tfRV8+eGZHe+nPcXjcAW1XgE9F3qlD5U6DcKJ577Q252CfL61HeXrmCV7KUZSvu9GDFF75BJ0p0op8XEGDthAVk0t++0aGb3XHXSZQlA9uSjdh3mw4KArbH7t9Hvt+xSPkg1MDHgqHcoTdkr+vGvkeENkmh0SkymlfcxCUPYuWQ+Ye4+Cz3uClHtwt8P1Bn9YjlpPCvbM6xIQKmw+C/t2b6DbjgmS1JzC2swS4SXUc0LpLD0R+rfRGnIg/pbbOTIs0xfFfjlkPjDOREXFma2I2xuebfimd9rOU6AewAXTau3PcmIDERDGbw7oRKzJSwOjgxp1WcEQP2nEPpIseetRtNXw9KwFelNPh2Lfefvnrp+fxDX7iEQDIISfyfL+r/PZGLIaOgnNPqXqc8r2jZn569+G9rkATIz4KU0fRs3LewbcQQjfRUkfq7RCdl8x2dzI0t/2qj8OXK23Hmv/mBDYF6HH//OQdrbBsDY8pqWxfFJ/M2N8+lDA75mKXFdsH8DFXUkHcg46I0pV29Y502re1rcd+Df66Xdk+0hV4COZQj0UuAd5/5aY+AZNw5ZGz9pQg3vQ8nkDjgqf/7SXiKFzaMy2ThlWizwqMtXKBT6XeVaAzrZ4TjrJ5mD4BXX0cGqcuDGuAR3g0eYBp9qzlded7YosQO8fNyv7rnjm23735AH34ZKOdY4twOawT0NnbuqC86cQb9uYDMbCHXLUDb+XmMWhmJyDAv0a4Sh5k/1AodXd+GGTPdQZe+PVZv7mKqtcKR+lSdm3K+O1Chtu58sWFRu3IOWhTwCp47n09kCfd0BPoRq/qmrudFbj3VjPwie2lGQNeEfheDGJjVB7oKPDRVf83f7myd5UQHxfw2YVAoMMHkvGlfdR8vh9lOpNR7ymjSrmmP26EUzHj5EPbNc+1IwqlcicCHWky0Bhutth+DGrcOWlbC90qJPZVz1/68POQqDvpySTiq2v1CS1gXYspo4koeRwY5gsHYmYWPv2d12bzXerhVoHXCTPwqNrO5yuUnav7diwmq0Wk9pBoEt1xz6wO4F1eflkhFdiDZOoEQkfupfbDGHT5yHtz4Y5BsIZ2Yi9mwA28d1kJ+rKO255L7DfSXHKpn7JPSfOLbdSrnelDwvMz9+tBvTndeX/9lp/aPT+xRzw7O/I4CFz3t7djbOeZUgaeA2PuggdA3+CRFjxGdwnRD55ir7nxeJTN9rwLx+gNfHhXdy3hmy8fdNg1c5o7MIYQ/O9seVWy9g4c0Ta9iwV3HIz0kD/XABLtm9qYK/hmt45nUklnBk+8K3mzcNf4udN+Q7wO1ebfZedQIjqElDM9qmhNd4AndW8yLukBsPP1XLAHAHu7dMy9dpaCHEh0S6tI21laHA+zqDwzQ5wcqoj7XM5DLlJPyOguRnRQyXYGHXQlgwteQuBjTCoyzKYcp1FHKcGbkNteL688B45Kh4DXbRxT0AI9hN9+QlzJOvp6AKb5Qkxp2RvDe/JJu3a/89we8IyVcjVrO+Ocz+2x0xTbnFJEnRypOBd2VjVo8nECDlpv/3KWQI+oPvMa0zLR/XqEp7K876EdHkUsEFmooS6O5lHL4C68aaNj59H4vZcPBNvZApyBozEh6KFVAD77tHfW0tYjCkNPOcTZf5/rw87ogjWJ6vgGPyfyaxGeqjFb8Ka/g37/rUWyvo7YmdB23iJPD+WgoyZW4G9VqRYTUPCWJfBtJkEFGfqtfO40C8nwkAV5/1dT/KQmXfa+iBmjUWPItfSF33jpJ+tt2sT1oheKKz994CWCnZly2Qf7BmIUNAPwoPI1ghdiaPjLV2OzopE9H1GFliKlHc1Y95pHfxuZrwAHDc2Gdc6GFPYveKpuu9QLcCpvP2FvXPDQjnqj7sfeeTa+zVshD8yzle5SQpewPH6sSw6RWhvw/UYLDVoE9KSsebng/80bvagB3QSy9WlqV5vzUwzzZz2eweNcg/0CHCsD2xP8Qw0qVE4aZp1wtQSMEOShHfqhbQ+fWOzoaW37EmXYycAPuBKbM/gaPNt+1y88FPE8VIX4yByyzVjrq5EvrC99WVCl+fpbLerWJEiB2r0ANydHMy0753bncebwUdk6n+9yMCTzwN8b+Pt43QKHvQmkDiS/XnCXvvo6nmtbu9nh1d55AIdQ1MTuJ5eZs3e/nnViZwRlF9CQRMcth70Keu72DbEF+gTeFtJuBZ9NNuQEXJuVEl9KJ7tjZjolQHAOwSe8j1f+Rmv7doOH3fz239xkdz0EoDOAFw264MgdsiJ9qo7+gIe099w5+HZTndYJQ1937YAnT0CTOm6UcQQcDBq6aE+H4rzQJFSCtcsB/eXBRnsv8BSfP4ScWy7oZ5WvvWqjbB4qYHf4zTrT5b44EN7a+/Wf/9x3KEw4OtseS02fPVhS+hTpSgEVNhti6l5/MLS1Z5BDvvnLgclgT1/s3RD8nE8pzIA9BN+NvFWOu2Xj1EFc9RALeyrXcSbfH7bnDbe1UkkInK6vxE+L44AvWkagP8S2tPNOmFaVG+IjMimO/uaaAS/zC2hu23PmnvckrxC4Ge4C3hnwaQb2WWua6OsuovleFmhv7661m/Y8Xxe7xc4vVhHhsOJe+p3l6wy0TGHvq2RvcyzVTnR/vYIfTbx1efQ1HzdpZec5HUR7xSO98EjbWed30aN76awx5aTK5dbOmgQ9Wa5yDvEwtijrz6vsdHvW3i1pvPOTjGLFXXQCR2nqTXirXPTKdfTtzMLd8/bTWB2wSXtalDNoSifvSAv2NFF87VRFO9hcxENMP+H7j8cIGfB27MDPHt0AGnUCvIaxc8s2NF6/ZRx7MmmvwIfgb9pXfeWn8hHYm2kG3bcjHveB10/1SL/ZoDvAqSt4rg349reKhee8nxlJ1OFYhD14py2W6zaX05kgjTCijHnpm+jNnfbudz00D8BZCnz9Xz1/vVfO7YNL11TAkRTAjhf6O/ONrYdbac+Nq8Wezd283NMI+Ome2R7tHO3Z/3dGUSP9eYgjvwQ0OLAwIMJ0h7h8HJH+m2EtRbk6FijUSRTkwIJazqmSKBdD7/ERqSZ+LCyaJU36OwaP1yAtj3Y+SAKcN6oni9qBJqk5giXS0YSYCGfQ0o/f+7CNNuCr/+bC5GN7YfJ2qcBzVaBtDgjxzE3xMUoz2osfKvBKSlKAe06OHX3IMUVibDNi5+3Zmq8oW1HwGrpof6pIgS+kl0ZQdWQIYQc0tyteHjasNu2ZRy2FvXlueDDweB7zZEqPiSFcih8t+zt5rpHt0QbrsQKfRO2cCJtvJcBHUIPusC62X/ZSLhqJPtiRHj2bRKBcuqCF1q87ethLv3U2C2B3h+PpoePpbudxAgcz2Jtz7W89wHqej/rRsPTGIuUc49alrB2wRHvi3brM633gq8shCvymA+4v0B13urc9GYA3Xvmitg+57YtjtESBTMRBMBRh2x8WqRMu0qRhgD+Ah8oQV9qZQc50rpc+AEl5bQoMe6ClyltdVCxO1G3u1OYnCnVXxdbFDqFY/vWpsNpjEr6dZI5ExrIFfHWHo+AH9j7sa1MyqT6sQy2doCWR7Y2B7RnpNuvsvMPf/LReFiKzc5lAgz9BG7yxQl8a/ws8RPsBWu7vnE2d3ldVMmHVbX3qhhKzPgA/b8/5OjKITBQZaI7zfe//g1+Tt7P3CsuXnccJeoteqlF82x48mePGvE/5kfEV4fNBFORaITOWw1/viI+qF5c6NtkxCW1vpBHUOHh7keW2LqNDF9ZvV9bnYXhKFbl97TVelaA35bmJ8NEV8DriXjTnPqitHtn5VqIRisKvDfyqtKCvHOmV7kFbI723vSOp7QEgtcVxyl3aUovvY7hvNuZQ+XiuN4rYed87F+gn1ox7lFcilLRfk6ZfL8yfouo3r518Hjt+r+H71s7/erNwfypsXs6BkUft06IRCOKq/a6lWwBH/uai6ufN5p6vapnecmflaxYOB947GLSwciBOiklUqC0lePK8MG/l89YzZ77iTq04evnKK2gPJ5Ad5czOjo2DmPSRrScuDlEbVN4swTd/1wl31RLB3qcD+P6cdyjYeWpXubYHw7QSAyX4431hrN3q0/qtOQFOCuBKzwW9bl7nGxmViArpPuC9zeAfPdAj952P3P1CHcwwcDg4r+jsHpi51nydqd7tdNL2B0QjjdCOF8j2LDOw3qvS1Q+M7HzIFnAXtJKLftQoXrFM6DAfStCodaENf65n5W+fNDEtPIOpHAf0Dl7yJKzqmAyAUZ20/T0B24+xysu+X9U9KWGNrzsvKBtmVqDlc9Y/7iRpxX7JLuXSvzzRm+Z0zG3uS34rhLPOeBT0PAlhXdwTeKkZvMilgueQxZfDBgP6/jw3InzLe6TqUWAROT5b2qXuV89DYuys1U/K0cOebxB5nskiXj3TQF6FWLGQaNBbOy8Ff93Ph1j/ZMO8EPff/bhR7XG4jbk036KferzRP+y5XqjQJ8xBicYThtgXTZw6pGsDlUxdHk1zXZDSdvL8P70jnjK/MeyTTWnKB5bCxbavRawO9i6w7sKBFQhVsf71tMBYz9xrwLOQuFk0kUlasg23Z9tE23vaUSOAgk+6oaDsyFA788w3+nWXLUtHFywhSY2wC7yFK2m2NP5a7PxPmTSzRvZcDQdVnAY4nk/MR3vJUFFLMSiIrKO91/NaH7zegzuBiz31nfvTk3tTDzrSnmm8cm432Gtp7qdezm091po3/dXRXIx4cC4SoQv3YA883xfY/7A3w49SOg73Hl7TtT117AzocEXimzwWIgc+y+rhRuB7PEAP78t+vdJmyl7xdYQ/t/UJle0pZqb4EGdPLbJHHq/s5b9bFcoRDnfyjapEtHXs7Ny9r34U14hIwHoZ7Er3Ny/WrezZnGNrfqcAPMDfrNrXnVSThLMYAlLH10c99rbv5ltdoIL43NUDX+oNPJkM5syDvXW6HVgkHOXxuV5IzxbhlNL2ixcK9KvhfiuUL2bhoHsTt/IYkTvEw2v2x2oPvm7vkgX4mJce+u3T+Ntn4j+9Puxk4R8pWlkX2YMbBNp95e/9MAW/lwOuVxhNV/AEg+01THoVcaF3tdtOJEnvPEkL0B4v/vrGI5+pT5xjPwl7XVEBzlfs3wL6FoFu2OSgICGOwXHflrKgV7VJV791xoPCMkat8MSbcIES+9aeTX/XhXGZBJzmbp6b6VQVf71My3zcPrRMf5RP4mOHltxbf5SCzJULvti7BXLQY2nQGXajAI32AbEEWvPWE05jLrUCve2AJ4sJazObM00H20N964pefTdROjRj+sJ5Wi4pqyM+52NYAV5tdeSK0jM32unHsSerakASsOKRu21ec9CNse0iiRdlmsBOGqlMeiDD2sFc2Z5QUZ2grOxSp47BI7rK0Lj960fERatUIiLQLZdGkieWpG+69FqyfzPEOaxZi+hoe1yQMnsC7LDwh8rrQp43Ce8ih/gtjhs6yn7u9GBAv5mkcduxdMMcfNTEh9vrHZ5rR1HRt35mwgtdjNOIdFV1+rsWOgMVIFTUYvGxvoiP60y8lO0W9Y3F1732yns+NJe9r7dHIe47N7s03OYQRQ4byUkPyhPF9g678HUXkNmaUZFAbHxc7+WYzYyFkeLuLhOlwzfkAnrDYRHFGfvyVMwdxbYLft5O1TC97T33TcRqIDyQEn1dhDeHx4Q7zHu49PTu5mP/gJh/nentM+dGiGMiQJK3Bvwy4Wpkrgrh/RegyTe2t17VwzqNzcLtjFY+ReJ0u+rhvOTgw0E3RsrY2VN4ZfWrLAB1HJ03MamoNz+EEK9eVXEF+5bGGlNjHjZPppTuTXI3O5ow/s1/N+EOPKZXx+6dxPMZ4u9DJ6kCf+/oYQtxPt1r5/oEDasgtjGTdt7K+4NEZIf721NE6lW/LIE7+jpyA5vXdTTgA/y2pAXtqjhYcQ+0ybK97L33u176WXbgIHvy5AtN6yF4I872okz4Y2sAdKQfB/a1Ul6Q1eP0TYX4aYB3pNGvu7YP4DLYhfNMkhD0OXrwofdVwudq+bqUffAN/P5Z+qBFbZ8x1oLIx08dGeAPYSqbr+uLsBlAzwvSk9MtFXHrkwhtZPT4nd+hGXnl28DPSg84pqXojBTSZklMg7CN1DxNSsd1apun7NKffGhXh/wW8Ij6jM8OXppnCXFbd+myc97n0mlPB5HdZWdwKfSb7sV05K6tAXrN2D1zwDnQwsUxph1o8qlmoKkZ6PrTOlQD9rSnP9hCHtUYHoREoKlVRzZmxjK6HAfkyIJGVdI4R5Zi6pBYFySxukfYGpYk/DiIKf8fp5D93g3tHZcru//cE4E22mYQQwSe8WDn9RjSkchx61gDHuifna/h0ZG/c7IV2+hMRYg0w8NlwNXHRFfwf67gofP8+X7Zuep/95WbEny76PNo69s5MjvXDHtPfHNECsm0S6Pb9yF2VnvfdlhoUZWoU2bUQkx4UwJJ7bxfsl6BNdcp/BkGDW0waPQKrN5B3oYc4uCV27N73jo5BGcS6QPEcbL3Ar57rn80A/0qrN8GHkMo2i/t6RidbZ3lhfkG9klKpDw/Zdfa3pk7KkUMunOjNv9c9VxXEB+cJ+oH93/15n1u7Oyu9YmPqqA2X3Sh7Ngp1865qQBjjhu0ZbKdVCfkfjGPPXhMe09jcynYEES2j0vtf92raNrqUVf2XFtsogtBGj4fL8JrXz38wUeRMxlBx/c01I7b2b4MTJAVRds7lf3qPzOu4c8H8EnJ2fntoSXPj0MxAYbrNOPrk/pYYzyKFPzkR24EhjV1yyJ9ZotQHIWvu5tu5wHGDWrBpyv4LFXB7y/1Yjh3GniuqYU9d+FJSyngBONXiLTwnolpAA39qAHzjqBhD0htZYdOCnQticvnIVZ+E1u9oJy6aP98JffTN/DUvzNb8SZcZRzwLOIQR+4b3tg1U7hOpogZ9AGaouUjaPje/NYuE9Dx9ZjewRPeqmQLPtDOhsnA/ymOWdsq1tjz25fXOx1iwuGdtSy+PSgTt0NB3yhonaafv0UxLeD9yTFCJWgm8GZmBI3g5K6WwGe2/iKuPU1zIfaUk488EXnlTUsVIYYjeB9utuTRq3/vbc9MGZRF2PIN9VU/97YvbI5Ulo//ZtGVqypen/AQ5L/92eC75Dyo8kUnoAWIMvhRRTM8g4B3HU50Y+/3ogdwew76+J755Sz88DUbrmvGaG4krLuhexL3EEeltwO8r1z1TQa1Ax3h/eL8aIxw7Lkh6jl4GDasEWh4cHsIeBbdRd94Jb9lVRTEsJ+QGFaX3COcmPbVw0SVI54hFiAYqJ3psT/GU1rBv6wK7Gukn5WnZtj/P5W3ftQoBX+KHZ5QquOVCz6UcDs3ddS2TVbOnfRZSfeDyK1XxTekC+RQ768/wGfTmzZH+iZG+uA92YGm+saD7f8302aY7czHqhyusz37qAqDc1+bZkQraZTt9XnDMriUhfFy0/g8NlHpBIpsRMt/z1HXFyr15XWfUhfpTvag7/j0gHelAFvaw6acmYMfZe9Se7bPx/Qtk0HbbMC/CoqbCI07xw0qR3hV1K8OUoMSMEnmTlHugc4U4Urw9ADfj2bLv9ddAMSbHpVcR+BSSsBJr+7b9JCvT8exjcGbdarTnb1fBq0FXis9kef6IC1OJ3wBPsU5Vw/N2hwL8llxYGNbw9PTa7lQDHzqYaRf52wFddMANMUe/Hil83dHAubgDb7nHveFncXUPy6yOAfgZfaVkwI/iQx7Xw/do60o+ELGFJ7rVuQm3dn+RSrSFXF1CbrRzkT5gTV+4SE7xG7SLCFRi9jX5strCiPqeL6Wok2yMVQSWA3492rPffMNv0j49xAHbe2qTcPoUydEEOlOJUOgE0pPQUw20fx5HK4eAY9ra1D++1mu1SSgP0FP6h6zsM8RoUc78xhN6dGkBvRoztzJzftJKTkvla8OFIUz89oNHdbsKIFavCnUTFy0ObsUHPXOae8Q/46y53Obv14Ep+y0PunYWSB+HqCuPL5pPNIBbhV0l0fB7RA1LuBDVJl/94yhPOvwo/aJqQtdlrbGJFEJ5gEVLPIOsnT3Ds1xBxglqNLgjTPY8S+cPxbwfUVKtTN3teXHiAYH4E1YY692zZZ35EoSUjA0gY9PP4SHEEt0y3v0mRWtr6OZCRkYW3PM4vK+97M7XjTnH+8XdXp36s3ffNiFurC+SxaIguRaqCn3nN8cfOai7igjl9m+A347UR8Ut2dn2k+7TLZ9Hke+ckMqxvRSee2sNi1rxvKuO9oDRz5rx6xyZ/qgH6/5RNeHZF8O7J0Q/HlVdeRCI/OWf9xucpj3zYLe6uTrufPIlX+sId7mK3DIG3CQg03rNf062Lv2vbfPHAm/cjX8Xnh5n2aAb4+Mi5Dwvz7SaSOBp3zsNf406SH9kObLpZK0Wp7vdME+/Gxm50nVC+gIeYb9nTp5H5DfexAp8gbegYgfgfZuh3xwW+2J1PaeBw7+OEjuHEf06kVg8+X2uUd/hHtesu7rAfF2O8RtC/7+SZzykcEerQq0tz3sBMvuja/fSjBSuQtY3Qen3NG4tPopmh94DO+wLw3oI042JKrNf+pIX/nYPEorKdMnL9K+ltc7eA1A1/kMcQkYurqTSERVf1tVnosZuImmV1vsn1cNAlxF7bPqgVdjDL4tCkBXwd+f3QOoT+60ld5wv+zNCw+D47DyAHN/sq49y0ivYMerva/Gxqc3PE4KuPTzUMD/Gaag6cIP7aeP3x4arCW4J4Jx0tZSZLYuWcv13Hhrzi03F+0JvtuzGr5euFFJ/n7hw1xmhU7ysW2b+Ozu3PYGOpYdf/N504mPYQsYNKjkHAh5y5SPnrAXn+ClSf77ndIV9icDWAMee95LRFIhZwVretUdf+HhFXylA34S1uj9kS+maPjEcld96nje10gxIlLgkZbJWN/Ad1ylEb/59cCLgZ1pmfmATM56mzkp530AonEmzQjP0wOfcvFhPf/rDlEbI3/nGnAV1naeAOA1eM2nnW1Yi3AS1tcU9IcOdGvvJcv+tpOA54oZ8DW2T5LLMiP++pIwCXE66EBLDZiJXcb1CzeiiiPUiOmcO/MsUXqto/ZxLNA3cNPKamGRmKeSralQu6sLRHLUBMe+/WBRUNa2x28nisr2EOYm5iMBRoPYEu2OGZu/IfaV+3eWcuXOjR/F9JEX4UV5rjjGZpX1QjXedKbOrPgwrWoH3Q9Ra/Nrv4+RxrlpP+gwwbuFCBymB3amUSZpeoymoDbg6e38RSm+gc0m8G2vu2xSwcOACxnyAiWAlW1+usWknzpalEG+afNaOuDzQB/ZWXU8UPXGMI0IY46d26tyybWqXcB5V0X/q62eNlTSzbFoFsnMq2Yk1RsC6IxAh4sTFhOp+vZHRLeKDVeXMgTcvrK9Sn+wp8q9RzOepL4ebldhFD32tM06nTWOW1YCVeAXcdbRrmTRIjchhWduy3z9ql9+An/2vNtejhviqA0KjywsOAP1Y0QIfjNXkUsrua4EV0kloksFzwjaajwWFGf8ayEScHbTfqsxW7gnPoCPyCEyZ97Z+WHTk+TrF1cOzMM+i/BKD/jOY5fzhQd7BzsHHq0OSbsnPEhzN7Wdsn9yh/yAkpuUVD/NRr9lXXk5mv4O3uXH9urGXTQfhy/vwMk3eJpPET3uzPmro0fqN5cEO9i1eH5TEF9X7Li2X+837u2sM+1Ww+0GvLVi0RwKoXKQuUwMNDpGgTyaKVKb0uMJuNdha+eC9qpIie5JBZz2xPzvjl6WMpC5N3PgGimNlk28XpVDWuloZe+nynL898hcgmhBZFWQvRr0DvwhB+3Winx9xX2Q5SLNQa+IWs7dQQCfFeQiRkAMh/g7/y9Hmh6QIKDvMQdtSL32ozxdlz1w3LG3fV1tHSS5qSSUagh+lDFeDd5eLLoqF0EgVghg0w/z++AYE6I+bruaG7dm5VJbbudaVGP6mv8lYX9WR+mWgA1lsxAP1tT2ueCVM9m+yj9H/j7/YnpynpkPvLOYC3ZapCO6wShyBCOSSdfqk7QGT35kdMUjumLiaz7AvqH97X8e1qOskekdNLEnwLOxJUzxEkIsoTuN2k3uo1nEc2DPxMUAHN/fSjsfgiZ4dfi4rcAL/IgNiY8232g0M6Argr2b1ILe8fMm8yF45UdtMSOxQuXT9nDaOVMC3vmKRzWp2KR0oym3+amiCWxuIPHcbxErI3n7IIPr4aWx89ccwkCHJKTEEawbIxeI6/uRf11q2+cE/fWQ/K+eAIQdSnu/dSK2dhA0XDmIT1jH6wG0wIG7DvAYAux3hW9sL1XAGrHKDDgU7m4b64OYGfbuv6Xu2uQIOraWHLCm9/HmVUN3XWqTlraveCZpyDj4ej6POEI+R78+vNv7pgWN01aJnViowYcCxhbiBG9KCcAGBf6fw2cCh03gLxc+Zr5C/A48Nshh/Ub+l7f8A8jcwR4Y815gObSJZttAf9wkG8UVFPPSFFY7mrByyEfWhQE9re2slRtgVGX7AUGcgHbgd+KVLviK8AjPI3rHBbxzahtv7l+f28/GDW9Emgp2ICgl41SO7a/yDj5ZFzngUyaVZ3NQ8n6uGnm7V8h2Dd76VW5jo7HzE0zp3Facp1nlGxf8LS5ZaHVtKUA/VoCXr+cSNgfVWb81PsHMB28/2HmI04GNNCs98mi4vtZMdzVXXVmIuJY2B5fm1OAVd+g3Wb5A25ydnRvedw69Zj3KSoHyXOIn6NMfxl59v29cxO8eg3cI2pyUTCGI7Qdzw5B224XansjRFFcb0zGnvFc96PTTbaU3esgTbZvFncmm7Y62hpYrAtxC9Yi+wfm3wJ3f9YAS7uDXObadjdKzhfS1l8K7dCsKeMS5XpqeHEBZAA7TlZIE4o/eaz6BtnHtHNWh2TSXvResmGdrj+dALeH5OE5ceaDz4TtmvE2wh4Gn/3ofdST6ghgBDWprXTYcPFLwljkko8+1zXEkepyu5RDZOQPAf+Ct5ZdDCmI1S6UgzsBbqBxiX7vgoSKRg0cErhYRlwacyBaMBZpffplF74EeSKmY/i477R4KcTkwWweH78w3BQXepIA9pTct2Am48KeT1XhiEDdpphPoHDurKckMeL9I2Ry+CTTGCBggpPVknn7hRtuM4tTEaaU6dK5jeFsy6AEzroJPSR5lTzuvnSchx84avPEtY7GIyo4+KXhO2A+/PWCOXZtVgiyVaO/cA83e2TrN/klkC0aw+Zt5R63H68lUj/0TuDaWQ4AJa6+V4/7OklDjdt45W++YiOuxENOBp4x7U85OtwD36Scf0YGKfgG9hpTNCQcvBLGOJAtlBR4k89tX7hwGf3oFz9PDnxd6QUzHt0Pjhwe8pF29AE67Kbjg6QbPcgevUIFPA68X3nPAAHteBpjnEK/9rkZVll0b4ef63AzzDy1sPZM7wPd71SF6pECxTBD4kTUDfVuChl4aHmxAa225dD+yBeWw70BXprGCPUGS9O13HjpoPDyaBHxY0TDwIz7Nc946JfgK9Vx7x4/1rZRo15i/2aYpMYDEAy1VL1zhUB9+9RJ8luAE9OE6Z35Y7bwUhO26bwqIM6n5zjH7KhJ7OugL7SOH9zQs/Xas+NeDFzqqXe3ae4djgiR8j1cuFkgtEclND2+k8RrPeGUxOQzwnY16Br8iWdJeVL/ujh0qj8B9xyEATZ0tcjQ2/9KFmFQ1h3iI6JutpioHNRD5uANG+6CpPsHvv/S8VEX53Pv4cUxMDz77jRcmq0exBZ5tIRbcPNLRr98Z8KUySElBWRVNTHjlA7TSJhPRzIVyDwl1mbw56nR9cAmcwtpHVoQbGd1e2ItyRm28EDGsb9RVj2ZoP7ntCzdsH7lANp9slCO5VX70tHWQelCpHJXt9TeU/VSBd941KLRzyEvglI1yy6eKg1MjwT3w210nzUvbPLCw9dFzkbFy5gWyo1SjLF/bPlk7ws0ZOM3eKTukJxts+6IwnRz72wmiYamTSdW+iEH/224vSA3GnnnfhATE+Vg7paC0Ru2r74FbOTezf95+ZN+7eqGd5NcFL9grR9TWSXitnrcBvPi53mQrDdoDvsc5K9BGuO0A2ouR3pyPkkYg4lLN5+lg+zqZaQFt8EM98S3k+rU3JlwQF3Ac9BAidt6kGs8P8AkRePKr9sWbSMBZ2LPtAfjAoU5pOOiX1Yr2wcxdMWh/u6LdP4jr63KUYqdHHSr4/lSC31vanqPwVSvNAW/v+8XWqNBnaXOuPt7dHJU+YKIH3w9zSZTcfDnZbx4Zeas8dFCuZnn/7qsEVtB5QICrA47akvR6g7kbl54pCfhmiEXQVO2rZsTPionjpP1k8uzs3cz22N9koC0P8VdQGrOv/dRkg9gfDRrlQB90BP53ZkYK1dKkjQEn4Ln0G2iiZ7OEB4HaVdZhm5fiw3OaXLqv3AMXMIZpSfcyEo/KKW092zcZhZ3c2+89wHlP2NozUBMmAW/1XX+8X0g84WP3dQc/DO+r/az7bMlj2yNe7WTfzrLXb7Av3UMcMOXSl+7FPNI059OD2PMyo0wuQtAb7YeQKakNcYAfJtjTmzw5OyWfXPguHfW2dwY/z56VshicTUd67Kzs/A2u+3apWB/k4H34Qm3/8Neen/bAAQcZMGkU+F3zZPz9LvN1dty0Q90pRW0NFFK72uV32WXeAZmDjIKhTsyOyrObG27jCfQD7TJ7bwk6lC16Uw7Yr2EviGh6cYrHI5EA3j4tlx/EP8CWtsL+dhbg18AnghY53wUXH1Xv7uphupMNeMw+eMLPnm2fQNjn/gG0vWZhpv02zk63oUmaRzbA8yaTZ8/2XnnmGDiaDuqeR+lZQXzVzvUOOuKWDbdBjsj2Oj+DdmYS9I0owkH36xNefnsvRLbOTblkK5KtT6W954xWgN3XJn+3PcZCBjpd8OZ1ju1XbjpWHoY912LlTUwO5EIHutg1r+R8B7+XatuXnplIjGGeccNs7zswfG88wT5o7lWz6JIu6A5y5LPm6bdk9JMNE8WglWoxvWrNHvDeZvDYXROB9weOyONmJWLQVwgH2ENLjaaiduYCy9mA13lyl7BqEAHwUELG8pn5kws479vZg0emC8BlLGx89ORJPc0qaV55y/fcc40CHK86weHnfQDUDKUBk/offQl6Yp0RFpa2RzL9WIP3Wm90rH7KcUoh/jvhtLh53gLd2TzhNXz3cCHP629/G+A0XvaB+zoH4EyNZJyefECYD8DwPvquF/oJHvNedqVDYpTQfo4rp7/TXoTEKR07f1M7aSwRDbhBV9yRH8B9p4nbTCzhG8RsBhj9ViFxqET6yu+F/W/mvE9PEJdvlN/OOV+bOk5T5gRpyb5ciBeI/9tDJSgsC9Af3ObJPALep/smMRJ7OmBI3I4bCnyVukSgJ+yJEjxAkS/NLDmKXue94G0+BFege7dzxvgM38vHztURG9SBziHNRjyFIK1CpqSyfSsXtGjbt9UVhQZ9yJEx8Dk5aBh1HCaTbwjHw9kBHyN119LMSV85gYdsWF+p927vS0+ljFbYTgoTKSg8UWC/NRRpX3vBorkKGzklxzHcwP/3aUHnZtBhtqgJePZSuspvBtI2hnzzKI3sPSxIX4jLV23FdbVz2qQcVk/Qy5N2v5xqCR3gAetRAuAUXPfzb14XaLcL4MalNOqjGZwA3resfDEpJwV9CJ/nmz6PpwfE5pna+5hiItpxbW3jC6MODVcU9M/9GG/vBPA5/1gb3JUreBdes2nJb3/5iOwzV32KWIQZVw9syEoP866Ksc2hrQ6xK6hRb1KkBPTwo+LA91Hr5Cybc/BPf/6rv+2onb8JnES90p4pvRFfw/pvn4dCLaUp5xKwSm1IiwflY3jnoH/2vCcpYNV3CfssdyebY+KCBv1g42+/RPAG5EL8tMt88b/c7/46N72712iqbF5JCbibm/KRM1ifsV2oXF8abs/x6QpH9JED4wo55WoIYjakGXPJdIyDhcT4Lgv8EJ6xs8573btvkqWr7HR9eSLV9PhZR7eoPN3cI+cXLtCtsTMiYX0Y7MdDLLLS9hNxaFWK9nqI54UhGpULAW3Dl5rjO3DNZ+6ZjRrEAbugzTf0Tod0wL3tz9a+uHJ1ENMJMAAB/6xUfwuUH/YSgabamIXZO9FxuwIM3NSDRo2cSc1vLSnw086Ca7gp9/400Y5yisx/85zVUHvi8xC9uxLee+Wi3euujQklaDz10vbg24D/hO8K7zr7nV0qsC8ld3gMmoI/nuXSz9QDDVmgEHT6KSt0Rwy/wB7+aZY0Ag7/tJNXSx5wPJIz4FvMB/XKq9wDZ+8ExIaKHnfYG/e9s7rLwX000tj7DiQ32jvk7xfO0J0W00Aj4kFsnw+AL/nz3ZexcTPnBt5fvamF2Nl3/XGYi7r4Zzv1BcfT61z0llYJOuAEvAPoUxoZsJzou5Jfbt61HXizMe/ISdj7mBilBNDR9g5kiRFSujNw3Ce8oyj3RWdr54gfltQJrqXoPR6XvujXJBtedxw3WFf9UW8iH2K6z3rykTngt/mEDx9rBmtrNS/se3HN+tv1OKRRfbohDPrA3l1qTlc0UVlZpDgvtK0rSo4JOQHWl6DdbH/ND9Dwr3xRypL0k2xEDh4ky8CD6Fg/tSPAZ7bekQdGuNOPBN2Yb6hvc125hwRxdE58cami1if9Cr5vkNACA6+SZ+nqEzjzmfVC4f/H1Lltt6or3fqVOJi0+HJgIzA2IggdQHeA3EJAYGITG/P0u5T1O3NfrDbXHHMkNqjU6+s6VJn6g+Lv/HwF827J920AbHEwPXHyfQDx+HBT49NCJUWIit+7VNTvm8GcATVr2crB1nZMwpbhYDbV2E/wTa5VEZsawW6Zz2+Kqp/aIsl5/7qzf3PNXZdzrzwukKz3/QLMD7qIxkwjzhCqFAKvsw8ejRts8hXZrPCdZMVxgxor14jkNrPzCMVVF3O1VyV8i15qIE5XTyK42ayfXoz94AV4/gIdS3cKWWCDti23ZC9ZYvudZOaed+YmbmbJInBUERf5AJ6Xx5eEluCP4LOiZAMcqpnGadbhO0WTS4OLmzG8lxGMRqhenxWLIniaGpi1qyuIpKlCyvR6u9WRuUeC9tTUxxgU4+EC/pvfMPePOOJZBZrPwssGGC8+s1jIYLbqKFvrznjLwJaF5PUaz7hDr5gP8Yq8Onj/vU9Z2mQPXjc2dd4lxGfSLwjvlallKatOmsOc8JmSmL54pZC9RGqHg21fu/hJBwlxr+41Rw7v5BH0uYDveQVOe3EU/N7YqwLbeJDArPeyNbubeamG20qc5XZ01WTqAyi7zSEnLpXAE9fcy3X7lezj5RxuEeiTAA9qOs6Y+7Mo0+RAUPwATVqzgvP/GPvh0gJ8aA8819+uzJpDJrZRWiCaP+H9hQc76UxvwvgJvuF+RrGf7BXDX1tp1jaB7RYVkgPf/1sY+mf2625JOMuKcZpGcXYO/vZuzHkOBjn9Al70jgfL4U7vVOHDkSG61W72SIBBE1M7lWKeMW+X9YmTjf5CbbkDb7ajZp9Xf1pqr58J5NLkObvpbr4k1nQw/87E697NfGLmnpeDl/M4vZm7RkakTIzJ8Z97fG4PMJ839RjH4F93iYgTEbS7OiIZkPGXeQ61x6B/pkbyFmKVl5J5WSXaFTzdPre5pyBEX+vYmGXPFEmfC+0LVj5EJE855L6sR0/jIwWX/Zkn19zit9Kao4bZrbk/aO401E4cEQe4cK/thvM91nIhmpy4BRrw26sHWOT/Gy/QZC/R6K3ZbVmyHrwzcCWQ1MnUVa5DXNW991atsgCfXjZCLkcbJjA1tX3lAv4lagLvmA2tne79GbgrzyzbSwK+Y5DTgUWDHOm/HvEk8HoeSLsqAg93BwePCL4fD0gHGm+rNOfyQJ2NU4rt2ORbhzieh/dtSN3pAfr8dnTiOR/stBqzezWQw2mVZc3Ap/fbfWMlHkf+6x7Ht3K2tDFj6Ma2dPCHhPyeBJ7PaOOentsMft4BN0KYOTsfbocEtALmWgvfI8Y9ucObq+rB3mWMu6zzfySXxi+kwG8OxH1+3s1/fTlpQPxaEyux8YlrTBnMKVW0uyrfyjriF0o1k+7nBrhhB3rzQakUDUVajegCGQrylTkPx02Nrg8mvB8SfS4QO6J05gi830VZePrTKK0uYsQHeD+BdOPTuWAPhdoB8vChZvrBR41MfaYzD9ak3yLaE3Nf2gfWYxmNO1yUv/vsxmuA7+pPdv9QOlkw+H3QsIe5C/LSXsE2DwZjmluz6S1DT9b2rf56N3XW307PeYbceahGGaTs0z0H7/ejA56wBy3T/Bs+M24cxCh4VxrgXITxYvIljEEL4/ENPspNqXqN166JuDmzyfGAPsiw9SuIk3wkYxLpBDvxG9U4qrQ+/t4FQQjlxodr8CwuzN8ReN0CjWbxRQW2CzxUJDp7Qi4Hpi+vDbghc7b89VkZm47SaR6paFPVyRm8Z2FqLKiAeflA3NqewrLj6ckG7zaY9Rbwocj0Cpt1qbFLIlSWY3atuanFMPXgJWUzSBBpcAPMIyf3ryfyelp1j4dsUfY/03Nr03zNX/WIZYKILJnpvXpbJWrThJsaQ8rck3prIp9mnIfEIb5i1tqM8SkpCOej/DqDplVRc6362KwX/hxX9DoHayvuf6dR/6g0RG+kM2Cs7Le+F/p3x277fQQ/BGwxQA6JBVIL5DCObX6q0ITykV9N/S8MzAu+OmLDfCFDy9i+tfBvf040lL39OkckiKM/EnCHdbBY+dgWMrR38D5EPspL3iPIN/EOchEqual/qVLQ3RZ464fr+AAxWgADPLBuKbFJYDSkifCl3n8ujC22GEF/BvtVB6YFcp1+zylTQ3/MeJMvc89dFQj4ocXAnmMd2kJE/UaM8cKoaqs9yqoI/ObIHkzYmzrwKsExVWNi02jCRHP4OQ1RBdrY/9Xuk+C3PwSgc/3czkn3v1ryVfe5Ab97K2mz1n3jlc6kkz7xKpgXlHmQfwiqXcMfB/DGcQoaP9buv83RwRshmifw/KMKtMXdxNwzfZ11NHfIMzZ4EPm2WUet8BN0z/XBq0IygPkG+nlIdltZOmY/pjX94e1cYHOe1m+K4JH3CjHDj2L5qfY6A6/iU/Tpqb18iHCzKXv9eoclc2w3D+SemFrCvZ4hZ3yAT41yQOqs/91f5GeKB/jdFQNfWLoHV+i2osEkBPw7z+G7deoLfBsHZuCNpbymbxfuBlcKo5iv/HUupT+HNuUF+TL7kNKZiamzn4bbWJo1nL0vTQ1TCvkcmOcqqaoaYMuakoog8PlfM805/HeLx8pqUc79HenLhe/bS2JPPR/JQtzgFYcJ1mqtQ93WK76xQIPH3FxNXz3gFwfyugQ2/YF5hbEz/4A33kNez/LdPFTAeNSyv/Fev2GB7/xra9fgSamwbwqhHen+3ZWQYRqQ1z7setaXe+nYLeSQNXGlBu+2ivHiVabPJpg+GL9NNvTX09peIJ8OzPJ8Gmx9s3+U7tEireXYWHgndHYX42RquPfNiDdk71fM5glj3uvc15gHMcl1fOMOktWIHsSCZ9QYlWNLawTsKMw+cmz23jZHG/I3D7x6z9PGWUzNmAlb5I33fCEjd2g/HWGOXUBnuFlLEVE8lJS/1lJi0qNMOTerFrPHbELZ6E9UxAvoSJEzr1Rf2wTyegl8bDHdr3Qg5g6rzTnxq2ErSEGAW+OOIK4T7rel6/+oQgmIZa6G7ZXZ08sTDRI+/+TyN7bb3s9s8pgzm17QxyQktwq8FEbTo6G8TZ7bb9Zjq179FdvxDrjGBuS6g752phKB6SMK/vchA2LOTYZVd1gZfB5H02s/5YRtjRkCfg6AWx31RSFnYAdd0ihzFYN5oi/Az1OXgOdKw9I+ueZsXLKB99crK7mrAjugUcE5n6tymHbKOmzOhb5yhmfZJd7J4X9z+bSCtzPaXkyV2vtAmvKt+Xo3O87AM4+rchqzlpNSZwKfwRwC81lZ3kM6v73UN42tOd29u9TK7FpfHmKYBimm73PQehnHgjrL607xkxbthwhU3zixfw6zJXE2nun9hs0e6vPdEuJigQ/fAB/pjJp7qVMI3lXA7J9Pz3evpj085+fD3AhT48EyfWew22wE2zrgtRwsltf8wpTik6BaVGY8gH/Bw2rKEANPaTxH2nT9nYs5EvltOX/dTM+ft2ZVH5BZJvDsMN5TVY3/vJTxvB4zi62tA/p6BY7saUiKzHrdr7xtaNfcG8a/GxjTzI2niuFrthLgdQKfFz/MGSLJli/Q7efRhfkj2FqOsfHgknA01qbXT+gdQLMPoB+RGks7FcmjAjYHDXvkaHqdWYoqUxtZAIcMsTR506zv1ntS1GxeKs7nvIOxFsFSjuTtXLQP8M1uvraQ9wjEzEKqtR1xYFtJEA8nZ/tDizgDrozp+HvnqjX3sv7vuSzJWwfmQcyGwxPy5FI5LbAvQSfX9PuI7zxEu9xqvPPuBrpAfGDrnsK8qF1EzLruOX93jxbZJAzvuFbHZOCy7pg5/7LHxfSVI/zieatZuU6LwAZvfjrZaqx08FuvLKM8zZ3lGzuP68kmwDMqPg/eTzWSDHS8yMXFLt0Yoq+5gpe6n4NYJ8HiMwtmGCMnabc3+JmPmpNX74+jCm+bmvVWZbduwxFwGhmp0z+lNe+qqL2Af3meTY+zUfWk3/6Ug24bNJkefaD1k+kZr4WILdDOr5pyu3Q2z1RMVambRYnb4+g8/up+mzVIHHxuFLg14KwpZS1JQFup5iF3yTeM/YP3m/VM2+sZ3Oo5IlEVLGGNFK6D+YsO/EnC354az6ZA4AZinhXxox4SB9hR5Oz2+iwKcTfiKF6kCGx4P7ShrQ18mnHwLEm/sZkrBTfjbio//W9/4C1l8nQeE+doXSwRHO4wNg/Wy87cuS9HvhODOmWjOgKDFDhY/qtH5FhW1Zt7NfKjiQKLalmK3Vz87k1baK2KyexZ34HNYY6qn8TyLsaHyj2nuWOZejWrYouvEM95P1HgV5QJ0yugNfkmAY/28rBjw1TAn9un0CXEIwIutUW1b7xm1N7JRvAOFDC9ZETHvAouT+DrRx1az9z17xDXNtdoJV1rJT2KwYfmMKajOR9SdYo0gqw8mF+fVebi8ChHHz5LtUcLfBZ4gZxPDh1m0KtgA7H+wMz0N8XPquAT7vVdIhU1XDp0laF0tOQBrnItd0mPAURizax4T6NPq+5blKL4v3u+vb1RboyEWMDHQH4MZ5Gi7FkO8qt0kM17xNIgAH8C88cxNaPUWzOCij/nA8TJqTR7TwUoTZCZut9+wsEPQA4sHS9iI9tIW7/OESXlqpkKJwIxb9XMFpSTGx68hYvyfgbOVnb7Bl71A/R1g/fNncKfH63szijuTb3jlNlvZT/3FMk8R5/2EbKYCEkHuplUlpxzJ07/9mH3Mjzr7KEGvT+HciyZrhqkNsRFrBLEzlZ+L+1J5EXyAN5Y0+DTZtz0RcaT5J9rJRBEt53XQ3CnDtvUxgfBPKvWf9d6r0bwoH/nD4E/dNXpTNAYASd1Z+2n5yF5JhGBOEieKvJPfEVr2fduMpKvfJD7xCodEsVlMmw/cgsvucsjaeMpdzEy8wf305KvqqxMP1akX3v0XVkQ+9zze8K2p0xMd/CMT2brEvT6ng3ZWo+TqTtlzq6ZfjOOyN8tjAJPFu1cG38WqYcA/9sEmDMWH4h4tyuKj9QGsXxur8f/+i9/mTPu2L08E3O+jvLfHpN5mK0pm3zgtRm89wIws6s1eIqvGWKUuNLFuHRlRcSU4710Vb+8UYoghQHfuJmb91OWm17sKNioYS5eOs8E9mVvr0342KhIsmpFaaYTW47yDj7dwUVzlx1z6oIAn5mzbfjUhFu7CvBXw5NHZpFScl/LfX+tx8Bp2OTgHl+afitZMIEST696Djvc81PGs0cTtKIemE3pv1V2nyvEXnBmwCy77Zyy+cZGDn/n5uTh9rtiDGISn5i1MbfQJY9iq7RAUYclAX6Z6J5PcthcpeYL16+7S/M1eb47545cEqsFzts8zwOyRdEe0wDZv2v9wEOZ2Zdi2PQ2agWffuDZtOkhjx01Yid7EgZ8S/95LMg2tG+/qSWX0gYv2zdAnPLFohBfsk9GHwMXlIp+Lpnpq8k1OwHNC40uwJpx5babRoC+2ubecmDX5k5wLykepagcNVf/q5tW0Ug6DKGlDtVUBQdTi7xM+X89uZpeBtL0bY9QKEJzjicx9wkvKXjybMAt+OsnDHpLd1ucWHwHeX+tI/JR6+xpaklzV//QkB9ZuDWlaHc5myPg2bxyeXnuOIa/+/JExTn67SnpmhoeJwc84WDOfm0Z5upDFeUzY7elcbEDcRbyLu5rrWUefro1RfB55JRbKqad/13T7MqiSWS9JJlZNedtRDrUC9287nJaldZRNjbXs27vtZ0tpveVsiaYK2SpROLy/tMiu/erclVaahXWlllLmvKE6gieK2BD29agHTVoCuZoZ3olgfa4Mt9CjudjHr6/Pqs9WZe1gVgA30zONE5JAHnZ4vnJAb602mvO5a0W05QMbckK0Lk1vooQVWZN35yVyiNu1RG4eldvchgf+A4/pk+zLD7XPEIu5OaX9pKSoTkPvLwsJk6EOtSOYqAPqwoUeDV4D4G6EkeHIoCAKeIRdCSE/GEzZzmxnj0b0COhsfu750jlo2YQOyM2Ii5JCF4k3L7OAyx4iHWjVdmsv2v7v2tArEOmzrXpZ1hKNIUnW2egKm1taZHp8nEOkZWNMeiHJLTQCx3xkDD15B1ZZfHPdG/1eYfyHHJLHfLXvsOxFq1P+3nPhB6bQRMullghPInQ9Jp5N2c6JeRAiH8S5KBDpc0P+R6/ZWLb0sFbYbz2pt825KUv7rZLs36ufFjyc9+AWh2sZsCvtS/wqa1TsosL3OI0gU6oqVHe81tjSy+3Awd+J7g4s9bPdxlb9o01LRXCOzLiLOdsU4WeQx37rS50BRnpqbT/k+7x7Sxakov4wtj02kP0jnYDbLWl8C5/kghdcge+H/P63P60RI/v5WBqTwIHdEokI8xleGYjsVXAY1O6kWr2ML3LwIuvTAPJcLNuas5St3fi9A6mf+fZnIbrC3iOMdNxrorGBV1yUuQn5xA87Eq+K9C7JLD3TZhcy5UMsvsHtNp75kJ1sk9WU08KGHtIqYJ4l4sMWz8VcgNa15Y9xjiw/mqnw9zyzsW/B+gavBtdQA6xBbCO+nq/yzW7J8PCwBcESR+/yXyeSqFPOYujzI4/qq8ZOFaXZg2ntlUGDB6cOdlUlv2A3OlJ1upq9F99K5yqX8APo1xZLVG6TUErPIjL+GgHK+T8WwpckdjtM+NySWw/5YH9psCr4YgfpKmTHaINA95ltC0rgS+1raNa2E7WxREpJFAyf9VzaCmbOPycx7UEazVDDmpDYKqWBxOmLA6Z4MBlak6cZaqdBDjAn8yZCFGAh2beoDr8FHuzH6330rmsHOkvYIYIj8AToQd6/nff4QqqH4uBX5rVZ/X+80oC9FuXSjq/aykEcqFvGOrkTJukX3hi6xu8n6H8XSv3E+A8Wwg90AIXLGjtPDosudNC/mgepjZPzbT8v8/a1CF4ag66HvV3U4+X7lXIrekrAa4Xpn6B3fyvR4k9FWRoRzYQLZk+iLC8S2eCWUQuWEwd3ctjI9TD9EVUq75Uv/XbuU/2wSs2xlRoyBOWpcIFtDkWctUBzO0R+ArG3GZpvp3M/n85tlFetG/N/vN+7uIdC+co02h3svgxh7nc7MlbE5Se6i0HA5UmUbNJ85tX/3eOyHjf8MzsMS8O95OrNmcNjBLYH3j13dq6LVWIIdfA3AjIl6mVk3M15lyPpZgtLLazGicbGMfhu9vzTHkCvmgB3ss4CpaambvP7OWJMLPA61rSI2NcMmBOmDZTnm+vwIsDpiRUXUulg+65o4A3MMOBF8hi2lE9/Sh+AaK/PfiqeTZq06PmWNuokM7sE6SuVHg5W/HrvM01H+OAjzHwkDZrPteTdfNYlyxpKBOspxny8lhHPfi8T7sKp04EKhcMtLHQKRkuDzq2e1lI07sWRp4npTM/Idct4M9ciJeErf7rDMy+trnMA7IQ1kJcw3iEE+Ql/6MaNubuXwosbAOLHCG/bJoVOI3hpYG4qxxScvBYJEKQQ1pWUWB8xBF4pqe5n3kOmwfEowux+eLeDejCvSy4YMFjkcP2S2ryQbW+g9/8aFx+kR0SdJiAafwDB3USjO9yZ17YKktut5va0U7mbLNaKwizcuUOviW7+cAtfGG9dyLD/DpnPlfh9poHcteEOmqofyQIuEwo8PXz73lfEfzun4o0VMLcfYS5150DUtFgGwl+WM5UXcwZm6bwu3w0Z4STJ0dTBvELOTruEyd59YZzUtBLMcR706upYopwiIZmUCuwnpuz9qspzJlRNKaF78ogsenqE2X+LCRhBTkBjz4ve/CfiK8Q4wsxfdrWmCc023BOynJUfz1b2apj4BXTk96vXVlQKz5yZ0nwl1mnJwMZ+Z2DNokgzkBHjiLKPDXKBfyjuQdgdGWT9a1bIXSqQ1PDT4p0r3LmeLkMsIbYet1f3kCuCRlqJwU529QtgGeStdC0thMHeOyY9eWj4qgrbfRomBdX1DfrD/TMFnTWZEMQcc5jdj25cQgeemX79tF0CjdOv6rn/HZyL3894vORf9UF5FArbjEFnVrV4TwCQxc4VGMs1MiHKpBO+bW1G4pNvvxqOoIaFstmBP1g0x0YnCThw66GFhGY+2fkkzODXB5gyFPkdY9jgefdQ/yFVYG7KjC37ltwTNMKPoCdwdfUbN5wy9pw0VZNhxxz76pG/pMz21fg7yA3/zRrcpVO2+XALg34e2nLfQ7CkfUaZ4N67X9F5u4BCTSH/McZqC6JfKcyfZIdafp4fWRCd1Lo9rT2i+ovprY1PGu5kWs7kI5PwCsx5Ni25tOKB/4BGuCl4RTzgG+oZa145ceXX04YPh3tlipHgl8ELzgcNjIwrMIHhsw6cmOf+eVueu+d3M8HF8BnUeYKYOU8eHexBfkWPhc8PMmecw/z4AH4ryvTB4qqDzHK9I8B7HjgvN1VThtVGp3OEFugzbvamaa657ngKuLFP5tTdGF7TTEC/43aWBbg1YI2ZQWXDZJvMlKUO8AJe86UG4BGkpOI4o8m+Ou5cCEwl/jQXJNwWuUwpUSjnq88AR+KhNhCDiECcjAXexJmTrxpID4hDr9zhneUE5QUvSuB2cnY5mIv7XoFrdlLjyNFztz0XJGv82x3EPZLQuWxtJYoX/Hv2lSy+jgNfu/amfsaOBsPi6n9Wbt+lX+9gwduq4zGpqXvrSriLA+2S2XOAvYe5GMOXK+72uyLP+cjG9BfXcd63yYnC5laCJ5ZmwBe+Wi4ZBhmlNHaBF2uR5d8yJ6P0gKmD+NKjNPtvNc/9dfNaaz+Wol2l0TAh70qzH0zOXheOXhVEpLvepV/Z7HyIltLu02p5k8ieNmAsGTCW0pImKyY9on7uUkRPv7ee9t/etiVA+a6VIN34oVfVpa+KxsN5df7o7GWzZnKnIYKZiIG/ZU/p7X5u9ueuKYHPe8oIy7M8atc+zvT/+5519zzQH2xAgtC/Qzb+lpSfgCv2eW2HoklifFsDP4pxvibjGrCrllXS+4cTDv4ZMg1/6zS0S/d4NjRFxIxu7HmBKJEpEFMmBuTOjCsor/xSkyvPwr5nXPIS2pFO261JeQSUGn/WK0+aEP25Pb0EFqXZJwQBeYuubrBz32cdfyqY0aOLvaZVsfS8SYVTR0wzD4XyyjtyYfcHyem1oj4v/NQ0fSQrLFqC4+g5T4fOZN7MsH8MjXoe+DFNhUYkigBL7sNzV2KjPavdRs/G3FVMXulg/xJ3DYGngLv7Ues55AM/R9p6pc6U076z+fJgc8rggfEwCbR5SL59INz8DpmH2JPKgJ6RSwS53v0djYcbEEe0a8arfMXWckbLaaUh9k1t2bID/NdObOthjnPLWzXLLGUwB7vwHOMLcwKLxBd3MFYPPAg4b34GypUwfdyR8V2PFmTxRiaQPN8Zsc+1fHrjqovXT+sgJvAj5xSNk8VB210TT+HieYQY9zFJ/BeuN7HLQOtNevg53AC79tbuYVkxWYrK0gCw7mvw9kjzuGZDKY27uEpi/ZB++0r5nciYA7Mu1aOFxv+/IEtUwcQSNTB5iwv5IwY5YUf4h4h+J0YW+xZM2A7Nn1UbGv2rh9sJHvaQ8z0rSzzeawsfG30hBXMUtD8V14u0qB5ZFqeahfFwEjPGqIi65elFttT4yLTKw5yN/iuiHRy77dVaNh1WcDvh8mqWtrpXln2/52zvFgJn0IJNG7ir7IuXvVfPaI9eE6hOhKTwHNqAd79a36rO6SBzcFnZlfzcqq1h4yE3hTy7TpYJmoljuLNJhGoTwrlZGvvnSPZZsVhSQssWafutcuP2FXfCYpfZ7GOhM0ss6wneC7D10dwoSl4oEiE2z0OpugcBM+8X54VRVVTgKoO8la6vumVeM2dhQNH34C1qhR9Ogpx8M4E/Kb0KPA9dz7vmG1f/utLRJJK8zYKaZlz9ZR5o+l9xMLMA+G6gE/ecd67yaoTskp+5odNsiZPwlua0P7J+jgHn0ZzpH/PxVPw1CrcZpm5ijhg1IzodQ72JNlCidV+saHlvz0xBCpBIw6Sky9qT6wy9Ui74JqsZEnFY6NCvM+4emZOuYGxyVORLTIo1zyw4/O+9GqBp8oxua50S3NeInz1QZirvL9YuZhR8lsbAk+m19M58Pbg+XIF7JHbQDtU3zjktTRYykaYM+wwtgEvlIV2Z1MnKcImNizSQ7xEaFEuOVS/tU3jH8nb11rKmxhJp7jpgVVCfmsvuOcfHLJvum+ZhDGj9mWthHJTkVjlWNoC/dtgS3WnNdtA7jkl9mGVu+3H6bkNUtr+JKaea6hZHcRes3t38HB7xeFOIdQD34DfB34O7Gce6lvW8wW4GbQI8jSSIbXmb/AbJ4riWQXxA3LuhTCSg5d/o5YqAOS/a0GsWk9OHTGnBI9/Hm5eAv5C/rdPlIIegk5xauqWZat8VsE2ZSN3RGg8r8qbCLXg6y8qjFvg4Yfg/LvhMf3d5+MTTIl4omYNxNq4dfRpncODp3TzpBS+K4w3F+S1RoSrAIt8xPe6Jxj0gdICCcImySN4DgFxI8iBdc3ztCILO/wN/N0V9BXm6mTq6bmQe1k+xOCTZuCI6dVHvGx6+WN6G4AXe90BD8xzAhsX1aB4NkB+dJNrBjn8+JwH0xMDdIE2wcRObrMB5suJdTF1bDfMRR0b4yd44ygNQS/BEwHjnwTEEHVaKxHtQwXeo3HQy8Ne00jecL/9bpztAowFtASpBPIA6UpzVl9UHN+BdaezsJPanUrwFDepfQYesa8dxIAmfGzZB/H17tGArwxyM3aRVbrMrXt7OLno7cVR5902gVxjl9b2h1vzcLJxBh79J+uQzcx5crfdM7YU4PezPJRWZqsPyAMj8NKO0YPZLyJkBI4byTcPgDf27frbb9Rw1UgcyK+vNQcPD8AAPZZVSGx4t1+QL4G35wuN+IMyHLOOWMk+cCux5HWkFhy8bwjoQ+YSZvY/aY8nvKqTck2/rGYBNie0758QR5fyt0fu8jofZecwh6pC7bA93avgYZ2D5cBRjPMep7WdbSgiUpk6SOBLwUNivvqmjyoDzmXwTjJ4noRa2zdAfluEJMoL8iDP2yMf7KNCGmIWvc73tlUfmNpFD7w27pmRig9zx/YJaDfJGczbZjdDLlNuov2h6dgiQtCfEN0gty+mHjbMtWM5EOA+H3iPrY21PSRhzDLuS9C4X075v89iylnmCsVWpUFHCx0JgQ7g/YE1W/P+W8j3c8OIzmjzqJ3tzPolTaxtZOrBYqGHBOK1fJq6K3ioem6axrxRPi1VIecE8jrk2L8933pQBEc4AjKHuaL80uEet7x74+CC9jF47k+rHOxAIpI3AUnK9R+8nyUhYrsp+7hqIjKf977EPbHyFV54uL3DO92XFLywAB3t5z/urZg8YGcbmFsT4EdX0NilcvCtWmPQGfzMi2QBHXvLkbIo9b85Q2NpQW7UCIPOw++VPhY2TgI1AUEGDbMNT7l12O6pZb7v/Fozr7JCgu4ulHHl5wXe81UJMuIAW0tMXH6SdvAATkRNj82dbxtTszuNZyL0lIx+kXckVYBNUsxx5nJdhzbkdH1kTIJP+LQk919nD6wccn9axF4afd7FwJYKWENxqZVd2tz0qgrZgodlqYSpCxDPErwdLv4tIvB8U9C0RjyEvCJzmL+N1SYs4GYt/+vMdZTpzAMz84qNawbsZ/bS6iI2fgCDDxYJxz8cuApA8pCD22acj6WOy9q+XE0PSM6WSFmfdmZNJfhwF+LQPgLHSNNXkeKiBk6RgxbwDN+Kef+3Lnoz53gc00sM4up0HrmVD+9L6dwe1RpATicdCVujyVHt9FezoAj54snG5JHbpo5mv4BnczOeuXhPfPDbAwu8VIbgh/o54jT+IPu/mk4d5OxKOUqTNbPPI/qC8fVK5mH4NUcK/gXzOKwj5Il+EhKeyfRkVrttiov4khbAQ8IWoIFTotsvOSw9HtkTfAvPCvA0FLJc8Ne/0skcTGj46bCAWaqXNLMRPQfb4zlSD8K0y3sU84GkjHl+wsuF9/ipImLWlJY88j+awrdzRoipsUlddeFWnGWOzfKuHanrDyLqX+MlibnHsSqvgfj5vaskUFRF/iSFZ0Ou/Ia82Z2sd0ut5m6Gbyvr8DC1AxRbgDUtT2rtUWd65iv/YOK2Odn+W9MnC139CuIZvudfvWVHutLnlCw1wzBHgQMGVEr2+VBR8lRuO7MV3h+XcWbhB/jhU+2QL77Gl5x5PeHMOQtZwRiGgqul0nqh4Om5Mxdn8NP/W2f7O+fwYDxegMFazNvYVM2FETK14G58r95SNF1MT1XizCWHMTdnaOoA8Qr1G2CZR1XwNwnPU+l/1tFaOAVu5IOKE6QW4Ilrxfge9/qlG4w5Os+E3vBRSRyCV0AI8iWGufAODDsxUrQAzYmVgOdqbP7DwN/T3TxkjMBcw14Cs0oN9u9vBa93apCcTL1d0KCeft1sGqEXR7UQT7PsYiyKdknG8qpASY+2+qr62M261lTLso6uHojW3/n+nzkb76ShPORBu6Fsezk5m2tKG48hdi1tJPGIYa5yDF7trbFkkUb8pRu/tZ1Bb1nO7CBh5G7O82U09mqe2Cc3XjHCfiq2eWZPP6CpbSK4qaN6qxye1cNyS5zNE1voOx90zEW/0C9gRdfvOHCbDHV6Dv/Ofo94t3XSoO1Pq3ZT04e5aF3QfZIP0slX5SQRH1MeEzlOEbBuYPrYSU28cpA9izRWHQ8yPhWCgg4IUztQC9JpeFcHc7eZw5jJl25kZo288BEOF/CkOiIwR8pCteb8zclRH5kTW5kTeHyvJ7kS04vFarrYhudETCx34LvvxgIH64K/20sNMWY1nHhigJza+cNpbV86f6uCGbwj/qiR9hsn1oJtQ+BbeH7c1vYBuJCQuu+vLLq4pdWewMM4pfO5sh7b3CW6HAKY28Cne+Pw4LtrFBKBQlMPR8LngN689hDbk4ttYJ25GvCgRpKbPqPNPr7B556YGz/Uc/tVMhzJVfnU9g+1lqRx+U6IxyPvzF1kVNU8vlUFzqugvdQOP6ooppmLYFyJOP9/DAAeY5+5vlmDTJq9vy8dsgFefANefNbRdKX73mpWP8/3ZMEcRSlDoaKQx2zI5MyTwCdFjg6mP+auARfHO+KWvLdTisTJ6Z+Qg1+MjUigUW0jLIZZYuO9gT9EMd1YgbvMjiNzhlcwNeaW5lS0pqfzsdqj0ow5aFoHnNATKlNm6Zt0EcIjmUtbPjh4mdLVV9CkV88gSwzbWO1JUgnbzjQ/5VqdwEc5ZOALsNnKB30VQWJXgz2VHTf1Q1Y6LLb6vbdABA4OzpmjAwlsX1rcb7pP4Of2I9P+hxouFtnHL573cSB9Ad/mDBwBP+kAf+6kC3o8xsD4MwOd2+dmDbnnN7kvbSaSBx+QD/zY5cXkllp3FJw1+GTTk8JUZ9TwPgdl6tQOS8r4v9eZ9q9qiOHniTnz2GXDdDibc917iWHux2yPTU81lwbgZ0bwlfzfIm2ySUZukxEleJRJgw4uDSfgbh6AH3bUcLgDq1tcf97TfCvKsf/bCwANnJoCXJIrUzngFpsekw6ikIfvKdOIiPeFgldlfXkvLY+VbH7WFl5BZlaY92k2kL6CdESZ9MA/BZllepqbuh38q2LmbO32tUZUUoFZvT+s5dfW1DQGvn8HDvu8g+dt4R3wcpwcFsal2AceLi4bmGdObW15vg8WiLsdMMSKwUuVFOXH1X/SHfy8LQXvygfdayL75hXzvaLl9bSqqKaSVwK4k6FLhfSvtPBQvzGXLwkltOKyaJyNA35dnEOySwTBtEe81CiQNsTfAPM23+5zU+9jjE3NOlMvMwI2/5vL3FVD7cZ9Ey7RWcfHkpm+QLrFA3iYgryxYPkw/V/J3rdyndxF5F9rMArwHb0y31LcoYfpeQSa+gQeXJit22ogkuwBlJ0WEa5f55ZpbhFgR9PrT+UkiO95mHmZA7ruoKS24rm2taU0fjs6Nui8d0qoqX+bPaiQkIflkTLwWNz/wcjfEzHP+ehH56715ZqAL972J2d65ZQM9P3td30CeKvU087UqGJ7v+Qhs8GT700HeDLyK17jDpv6vBYf0r3sT895kYHNkt32raLsfrTa9vS82fnXFjzFDO6sv/Ld9gfyUvfa4ygpT/hzWxBz5j+wn+YOD7DaD9HcItQfwffKBuG5pv/sXCMw9vwK+ZnknV9lYvMAph4bLd+ygsja0g+MyELM/N9/Gt8zl6P/OmNWnAf0BXmbNFxXtWMDV6sPpiV4I+94Dm8u+Js0KeIevC0CNvpJBcrBs5zqYIswn3JgrSeYsB1wuw9zzK9CZYP/2pHe2ykHPJFD3NceYg2Z63934vCTupNratxQ7d84Kx95v9lwW/bS1UstwJdCrqqBEcydcT62vTnvRAuZmPrBqmvuR2deSrE8SCG/pVkHem6XdP/50o3fcQSdsnJTI7Jrv84hLkmHMjVKp3H/d7+oBm+VONM3Hby3qr8989D0kYqBY0mc9NKrYU5TTq7AC/vabh/YOjyrAiW8aG0sLq/zGyvwqQC+upu+44Jik0e+k8KcK28/6Ph/+/9f210m5jDT2j9zyMBu65SW/RTDtILHzVLTU1LjEv7cFIDe4IHENSKPdDe/cfri3tumCuw2Gx73WjyetC+BmniJIZeQKBZnGFe5Vw8l5ntjLcBOXlzT+JKJ20KcyTl/zUnlkmf5vz3I3NRyphTIC6TN1L0kq/9heki9vB5wQQnsBJ4yJrkInDyfx4z6V3O2ibqmf5iMgRHA9W/zqtCEPGeXWXZs7iwfV7w5unGUwfs2NVIqavpeb2Fs8VeiA6ficVrpv/WNvQrsL8hVbiosNwPdqMKtL3bb72Q19/J5WrMbzJUA8ivZSedwB15oqY7fIE8P4JfcBMUtAZ3HrqnHjx0Y1y8GMV+hciH99FG7f+vYb7RoIUPEoCvAuavfKx27grZzxf2h3mc2MPeUc11kbAkyijPgG504ny6Jmg3t/nly4N/g9UM1qtT0AT86/GHuEVdhspq+3Rhy4t+5ylBdgS9+wPNSwsmm7ltPWuZu3jTiLnnm7qRFgAse6R4I41FZEwOmA9YEvwKcaPrDSLvcAGnY9YrMPZXkjFou7c87CdFU2/j1Dk/MWSrwpCFwalBacwxctJgzmyXTO47gmQTMBceOwL+EmVgQeIcYD71r7sND7gKe2yYNayw2BvZZeJwFyMvX2IF89OQF9nBgvc4EeqCfT3M+tUIcpxF+CrEUKkRvDHi+Dkztfx6WRVzA71pqPu3wgFOgqB0wKyJI9nmBZshncW3LHcyHqWEeUWFLlSVb5h4sUvyt6cWQejk8y6kp9C0ZW5pwn/A+FnREXsI/gb9NPRCv5RF5JF3zLDv43OKy0j3kZfD+wvjWAd6PWFK8tkSantbRdGo0KLYuH+CFXz4lYGtmUavcAOsGVd/fBRiyrEB3xQ5mbzFTwtSjfGyAakHbt0M1qjwPtgTyz0y4PymuBhVcgGhb+HsNfB88m/s7Yo9myJkbvJvXv5in8YmLSVeufGtcmdG+7WrI1RhYqYrkgXcqPVrTkwkJHAUci9SOO+/PivpCRFLDBLRxlN3p0Gbya47K8XLPCx2le3XIw8OGB8urrsiXjGQI3gXm8cEzfT7IimyYwzHpJKlNz8hxKlOB35KhzWWvxyN4DbGXN9PTAzjykllTDt7sWlNT6xe5SisQiBmmiel3iGLa/dXwF80Ammp5Ux1xc5+mlRHmJPI9YJD16KIMONmiw+Z6svXB3AfOgV3SyF/q57tDQm+U48HGY/xRF6TN3Hg27zwNpk3JEvdMZXYOp1ccEmCQlDFk+t2bu3Z+wlEAzJ1nkDCJ0Tln+YC59CSitXmBbtkal+AdZvP3ExHzRpgaWEtbrQpVEN8p6IXq50yO6CrNWu34V6e9zx095PSw5OE8SvefqQt2z+zShvGSqoiF6ZlHh6ki4I/KFSenlVngR/q6l36+yh5z0xdj3gn0uxZwM7mn0kQLsbGPjvco+V8vpDfgXdAsEta2X7LdFrzxxW6K/lny33omRxz+ngvIM0sDgxDQTDnyMVgxVaIpfPCF/1y58lzaWFauv8Cc2tSduTeKsOw/7TRcXuejrHofUxoGz9Ip75hyyJGTy+jvuT6nAkem1t5KkdapkEHmePdM6KO5X11FWspoipSQmdSXa7XvvZPj/db3xcG2A/bxau3/5Lv51Z9oNb0+sKUY7S9XGjKHId+CKXYAC7VKS40Z236o9R94qulAub+vkHLKr7kEjxTDO4PP9BfwLoIJZM7EWJQfID63pms6bxDfQ37/68tZdbwobT3I0CtM7ytgEXPf4FqFNj9HPcTfZJnaLpC3jip/v/KItzXlTjNO39L2R2xW8Ry2gGKldJhb8BXJbz2i7t8KLjol/3EUwp3kYu8/JeQEyPOTqT+fhMuz2SvIHY8n8NiTBomlCvwsaZxXbM6Plv04WhsbWCRIVtP/Z+koPbjm/AEwFuf9diOi8g4aueCRv2L+QMLFq4LsDvwIbAsxPk7pySanqsMkR2xTQRyUY7ZmLp7Ouxt4B5QlQ1yYes6gaQtoUpyHbUXAk1PNpRLJqnhbnvsY+E/PpmfXKw7P2ieVq/NmjX1pHyzjG8GTa+DCShWJC56gyyPfkRA7ysQPcEjCZUkhDhJrcU6uLk8rP55hMOVzaycCjTnHruxAv8DfNv+d+2KExrvKUi0PyJGHW9D5yc2Akyj4n6Pbigp9etXYukLH9+OKriXkOdFv3YyXJv/MvJ9b0aNLSTPruB7WM/D5WUwQ/8qF/MLFkL32K+8c7OOZzQjGZcpXZafBQs8Bv6dUnrIVW6DT382eOXVHUFn4H9lo+oHpoo5alq+lVY/mfNHBToG1zN0w7OCO6fhQu2qGdzQ0wfK6F2AlX1uW9N7F9D0tLRTxSH4cwWfJwp9MP3Tw7g/mPKyUSZuvuk+pms7h+6PsvYDRfxvqHlY1zH3ZIS+z268mxLqhpo8MeDhmPzL3defx5sG8fAPtwcR4c+AOHvlh0y/mTrBXQSzUoL/nDn3kVFrNbywSjxZTRsLAOa46N/Va4Hf04Ml+mJgds9cKPDz9Mhv1XarVKw6FspglQeMFW6qkb2c6WA9m6Spl00Cj+FIxbe44Q+aSngq0dRZorTnoVBfvq2CaKhFfIS5OxscRC5HKnE1FU9g4231iT1P2X08uDAxjpwhy0B5lnGEYd6xzZvYPcQHj2OU9/gCt+OAjxrUl33KzfuXGN/hub1yD7wMigp9bOXh545Eb/XlNQLkTamowgR//W6u8recCntchPXiim6T6xBgHnIkDyDObisV+XviLtOJHxmYQ5y2nAe8h93S5q++Znt5koVfFlF8N2M/6RdDOPwC378AbnxJhh9X4Vz/qp+57D4z4Dr7jHp7lQq1FQB6uOAJmCEBHKUK1NduywB8NUr/6DhoyNlTOQI27k8N3edfAk8ivSsC4ui2v9/1Kon/LOd+azqWvdQCe68OVsMudu/DqdWJVjtLNihhjFzfl01MU8UfVkSfM4aoe0IcaPESsuSi5f8DP98c5mJzkOUMeQokKINc579eG6Z8U3h2NyEqH9xfbXBuqUOmgq+p6T4yTSIpmA1q3mro9YmyT0opPFVOLdLSgbDmpXnb5yr2GY1Tr8qn2Jfzc5QkcaiWCm8rt93pQ31XBLbw3a2J/9SqtJLT93PQJYdjs3dKUIQI6A7a0WXCwYAIelSO0w52qpE1Q7rRmPdrUTfSEmMGzyrK04yBzzZlsCDVBeNYhARpRYKetSuuvFgHwtm9x000aeKcOvU212+LKyq4YmAu7n8Cc3Kl5s5aD54HnMb2/n8lArNNKnkSzlT/nAT57hwP7qEK+GO1vKPi+582itt8m8PmvucwEthUFr/vcZok7TY1A3yU3jZvjKeP8wHkriECL2f+gDJiExj7rJfhz/jzv+ans/IEXOgYtDtNg+yFtFPNe8ozhRYjplA/La60yJft4V5s9C0dfTE1eatYJmayU3XbAZg/ubDMeKj8T8L8e5iGTHLjPpwF61KZrBW2fqpNHs9+uIC4y4X3DdwEt5V8VeG/lkr+zxBQ0Gljsyot+83vvLt+mwPBPSn2zzrDJwziCn+UpkhvZ+Seyxr0cJEs6PZvz3s0KPFi03ul5u6t8mycuyche3iVHJ/j/EvLPi6OM7nGmecl7L2aOPYInueSW6YmmaUV5TAo+Jyv4c1MfVthxY7WchOSBHf5d7Ru3iiaYJf8eSf+5ntYWy927hx1P5338rF1fNOzwV2M8QeohhBdWkdLE6Df3OyW8gobmurkMa65nGONbGnxaaohH7qJUssNVjhdLFoiQSF0r5mkWtJvSVR4DpqNrsFYr2eRaJ5B//3q1AB/d636qcOhFVUBCHNpXtrY6p3wPOYTmaPqpfns+HoCtCU+Yx07WdpZf4MH3eOBDcgW+o8zmljC7xh0uG1O5IVweEjyV2M2v8zZTbvPTufBb4ObvPN+Ct2pT8JmSdJ/3xop/z36AhoF+x6cEtA28Bk2ewFNf26vIgfnWxtRH3Kmef4kxu5+R/6WAa8qx7URQ2s1/dW693MEcPCunVsuanj0k836A7O7EBbbS0x3itANNNLWm/aRXkD4PzsnCOWjikVsXh/c3mFPkWfd6U2q8p8U/D0Ps4aj94OF8JBT99QsQ0fQD3n0Ab/nFdWyxHt2zr5sFnn+Xu9zUEe6y5zbIxhaY79ODsYfYRLbpRadW1dfuNBxBF0/Odse4qV28sSHWW2XzTWLZmod/NQmf4LkhB2J2DoE5othvrMn0KSVlxxPQipmMU0xE48DvL0ATjkZrc/buAROFMGPtPJguoBudDHGUhNrnjv6QY+mmbKEinE/nYH55PVKb++woe2Sc5MQyNe5N72zNBTBIucbmLnKPI4kwzNWE6jZn/E5t3MN0uKoCbKXQbi22VRpBHI34I7NN1yrV43weID9k8H5e926+a3jeJgzuWcdj0y8G/LkNz5PUxbSrw3nJKQ4hFh3gIleO8VDR8pnutjs5TLTq2oM5gyVDs1+K7Mrc3bBJfGZtWDP7jVjJUzHv/2p93J7V6NMzwm+K2Yx+bcd0j1Mexgt2+aZy0KEyzTCEdIRZW93NwHf2PnM5sPCET7bPz0JxYsVX4K1WUfBfVOvc8lLWE53zlsA8et1d2gFXAo8i8DPykrDN4zwo029vw6jvwXtdUn4xvVMsGKsrvKupYqioAvmtVnKAvA1S5H83psbc1zxhrTj+zRuHtSw+naYPHhnk+9dZ/bLX4Fn1LrPRkTrbi7S2bYXQm7mTBjFjnQvt0oAwGkxzPsSG3VLIGoty4hxyBLi/lueBzKuALRlkBOIsecMn0oQLbzj3UvrHUeB3Pd7sZQV5bqKANZXYiszZlsCVZR4ppymmthaqTDQq1bAtmkIKXKA32n8658gfyq6VKfVvwDRv8C7KciSHMyMORqafQFzU/I8PI2BN02+Ig+/tuRUT2ns+sN73uVAHMfo/9dDeFO2to/O5qvDhAH9YlTBrd8CKe3MjitxoyEtsoQoweVQW99XXu/FPloqQr4by73xUMgIRjP6QdfINW+93DgxLrM87o62uwsed75lF85mn4rA2AfquOj8jMM9g3rcZ6Dg8v52s5k5JAHkExsIBVn5uIc+Cb3PsWxL+7VcCJx2eIlQt7qcbzOeU234vUbmUq6S5M29IH3hJmNkJbwu26l0z2AnkVRgrtiamL+Q+cIBDSB5YHtiiqhHToEyfCWdZVRRcQQFfHHUAjVqlRlpEeiTi8y6RD0yo3xKX3wFzGB62pdhz4Is4AkoCf6/busMDzI1CheX9zOIv4AdbBG11Lson+PUB5txb1n1uYCxyFvmvfb0WmNjsJ5U8NPfH5/iMeAc8FpxDD0kxI2D/h3R9msC8quGJjxb4bheNian3Ze7R6GahA3iNDmXN/rAIps0eJG2EWppBn4Dviz8WDYxPbDEGNiejdkGrn2eOi5oyB+jqQ3TqW7o8xb0amoI72QjcJh5rUyjKmA4TVFrmfm4C37cOFa9dfmHCBt+jJjrIEtjmVdMpUfa0o0V8M7oBz7ahYoozi4DLe3fO4IFymP91P3/AHO1KU4+eoTbrGfAaQeCDrtyOR3iWvblvy03fOIhxtc/utdGTItjU9O+++SUt0OOMpkpaMF9MX8ZxosmAv/Lo8ypFfAH/k8A7RKK42GZPKA0eGxZM5jyrpsF8Yy74yJAMufh8qLD1m/Hf2oTqCe8QOBJvuPu6xzFnJcQnDvWJhzebAsOcwJmzPobnsuPzWFqkiBO5R4dzDv6IA1/AvK6Qz0rGbfANHbHkV+P6HyLApxzh2fT+rIa5EwJd67GxavdvHRvBOIc5zOHcyu7g0ayaxm8qjM2eiiW4Ap7CcU59TVdgQqfd4cIfuQ3jBPME8h14dv/QOA8YY5CEIK4y4PhmCJbGOZg6Pw79r9ezBVr7QwPbwuAKZYemJH9/4uccnDvVEe77LFQFDAQDzfGSSJr76mmle3jv/jeM6RN8848UAMfgxQiSH3kvx8q+2LUz3ZoVb1Q4vercrsAWpk6SqQUZQM6+Ma4YK+TPWSv43bEPOsNyxwJ/pT2F2qQO7KVG5JLu5oCYswYRgVyNRLb6LXBVS0e1ryMGvsWy1AjM4PCXbmjJtikdTd8SiIWO2Tjf/rDxcj+abj0uSrJOpzVwHC04OTrkx5y9EaEmCUcT4RPnwo5AX5gQ21secQms4YkerURjmHT4yoV+5a+c9PZPXpBbjsicCpWBN/AaZ0FVuA3rnn8TwZ/M4TNGPBGMX0UfR3LPP4hL/Gb1wVeiWDG5coqA120B+vtWBbFfWWrTBFNaD/J15/FCw+09t+MoGfGEx4NzRgzGAqaixf8fU9e23KqubH+Ji0nFjyFGYGzkIHQBvQFyBYPAxCY25utPy3M5+9SuVbV21pyxEerRY0jdo1PsqEf1mP6dOWy4zLSE+Epux857K6wmroXGJGo80pGCueOhjuDDOr6pnbNFNx9W0ZvTTf3ah291d72rYE0gD3LJ3u+0H/kx/7js7bNH7EYD89ZFTibmEuAV64jywoMc5WHjaUVTj4UF8On4XOvgIRdQFTb2S+CxPPyeU3heDBjxwo10ITYRa4d06y0P14i68pr2alcz1Ke53jA3AZ65fnCXb8sNnyRvrqInJj8N8Ju6slOs7OdCfb4vwAN+mFCfTKRz3TUDsK8f3vr/YRQ8k01YGXBv59iWiHxa5sYHWlrABUiRG18niAFW2NxNHcGmjlCfJOy+gB4r0g7tCoZ2MijuZeTH1OVfNNRfJcKxQjICDNuw4W/+8iSdDv6eZZEeCQn5ny7pI4lGpnpeHE/rVjnEUjm7qIEUiVtfhPE7YPKzdGVyEMyrrDUy+lu2WIA2R8cAtJ+NtqC9+tqSq+RzevU79JgZx444kMD3j6fpVAzfN5V/u0no5TUa35jgv1WrTrXNWem82woBJ9ugFfDqhTrFnLb1XXZXs36NpJ27t97vcomTJPLfEopxFhV/5wAUATe3th6E/o+i8VbpdFUtSmYbVVLQ6HvIA5ALe77RjoB/QBf9Gg4B6+ckwgMd5G32Fkf1aXLNZ8Fe/6Su0oA7Xzu38PYLf/l9rXB2fUBMdAlr9pAH9mm//gLdclbddDN+yKmLvnhnvAO+nTLQgrhjkRqfbBdtSjaNivp7Gsg+7SedLmYmo+ljnK+10S+AKUk3v3LKgXf1hTuT3i3ynImmKBa9S/P4DfjKDXLoJbFBdwLOgShzAKeGzO6smumZRP71eZ6xfFxgP85i0L4MLStZuhkPvq44wkCsFtqrvzPzg/GLiEb/6XXfdxCrY0GN33w2JRA3+3IBRs2xyelfSWefnzPb89E9RCPm1hwazZRYmB7y4r5zjP/ieAN+kjBAKeOfjW11/sMNNp1LwA3Qej+JdQWNZN5V4uJwzQC/EQ/nQHFljnIewDEGyjAGzN0mrQqfvYHZ+6UUs5048S9pU5uEYwoad6ii5iojHFLrrwdB7516xUHHEmedKL0193BepUmcWHJkVOXC+IDSwK02/hfpmz3kY/h5canNHDPI3eauANbBOYQ6gs9LGfIxPDfEoGfuD5xy4a+7gIyyJgN8atSmiTiTTsrZHS8BcLPkju3AzGrcAu+4ZZaZPbu1Gfqw8eJr4KSQfdBWWQS0TfODA8jZoTReTVvIBz1orUfVsnsNHOIVXywaV8dP0BjD6Mjs6h3bWMPamXbbkOf1XXHtSvhZ4dhlaY9vdVSDeMJmwtxWaiUBJ39YRJJqAA2RIyL6GTDMjp53yVzqavh4Ye9XFsmJAi86BnyuBbKzofAgLzc1YMwRqU66yhZR/Mjc84KXeHMQcQ5x9aNyEGYtcYEPOayNSWpvXYhhXnC9osH2Uuf1gy/ApYLptTf2BVWMuLEGDZNSZxrgyzQHTlZFp2DNTJ+MHCF33A7cPyWLvwWcBZ4KfE5/e0J3D2xmfoopN7pMWjo9iPcLjfyZOdPIaXqvqHzVOnplN8G+BjRz4gvw158DUAeu1UlskJVS/6cQCHTXO+RByN1stoCnGR+dSx3gM6xzkeaQ/8V6YjkKK+d8KZjK/s0sJKudyz9BR76wt8lyn1dsPh97y056si2GwAWs+lVUmkrJTDo2cBF5qijo8O59VbfJRWrAyzyYd+6/vkTZJqu9dXdhz+AynN5YZ9PK9g+i965l3rxm7LLUeFoATQA8vOLeBl1ul9UCPNMxfrPdI8smcTQ95216A20G+IMEvPuuamMzP0BWXQwYOJseXwcb/sBMvSl3lMbjzkYWW/56HiU8y2866EtlaoEdss8ixHdOcs+s4J6IwuOgFGA9btKKP0EHuKRDZ2LOCNkEzyGvJJKS9DZRwf1S5kRCrtlXEc6SQX6piO9SR796OT/hOyFm/C0R9mUgrwXk1cLie2n0QYCotIz/JqFK6CtmyqphzYsemxrIMmVrO+1janrdEoGjBKUzbtWQ9A0vlu2K5R3sYv3X85jpUZBI3XCgNgw0O+wxi9of5m44Bv00gR5zhem/OK1tzn2t8tFij3WYcn3iXJUsiHfHNpkL2mC60T9q6S48tBZYv1Zlk5cy/OqVZkczWzHqLOwgDHoQ9OLKNXGZhDjZu8roth8zm686wT9tDbreh/wlG+Cuv8bvXLXAaMJ02du1VwickA0/8ODq0T5YSe0PgNqvc+w7sXkKutMBntfiEH0qu1gquzkDujvGi1j0cpZizEAKHSTiwdOXx1ottQhmpv0W+OMttSATcJ5mHRYE+RKeUXO2DtJetkfxypVTLjek58E4m/rFCnHAcgXvtlsUw/Nugb3Z2Xvg7H0xgK4OZrSzufFsHUB3x7ifZGXJu6JopE5q4QhNops80GAIUz4QDXre5a9YFpgr4Am+gD3TlPwbuBvsEWu9T8T3hYVxCjhOM7e7HEP7IFpSKg3700nn1wzlwni1hvYgQ37DlFjpwHdcJ7PxDc0YjxM7fZ3BBiqYaRL9N9fUPd8PzLrLCJi9iKfjhr9lgX76Su0W/MYGnOFuRJXTAJdq7ELrhVteq3rPEy3gIfAYTHHBP9cBsdYYeMLI3T9vlk9FQfY78Ruz3lemK2DncIjPcQWYXhC7dg85Tg6MdJA9T2V4vhyp6Q25rwphj6Y3nIlpOUY6qlszn4jN2PQy9nFZdcBTmERJ+DdXepQBYIGNMOTRz8rRe+NNVNHO+KZdjpqUoGVNHdMAOf9u/POUo7dq4QxeEauc2GDDLEDCkNPUgeZw6w3xS3gfmNePA+Kucv884YOqm++JmTW1gI7U5n7V3yTZusg+18B05R3i7QYx+1n0aqpEcNu50jL9+wnwJJlzTMJkYcan1/64Sw4ak0O86854gWjIFau0xS/vPsi75A4/eysXPwW8xrBWZzLErezmkwo0AvyDCGreKkY+IUc7RIAWCdYnDvhOHZyqQAYswGXaxX7KYlAL6gQcelVbtXv8fLeY/qsJvIg+vTFNmkKPBWv9Kz29u9I9e2VeXxLnPJddd2cBaNhw6yqOktJZNyLXN+PFUHceFwP8sFOiRroseHFhpo+z65aKctj/699j/9evN7EeMiKPP4tWEunEeSEgBAZifDm+gF8tSYTeQBpeCYq/aL++H1lc1E5zVnkMnMkWWADmA/cvISepwHg2StNfesObbnUcxlOm1eus0s4W0N+gmrHxXuiCBfARtHJ8ySDCi1z+NyfluoLvN1AX7cqwsetBflb6w05AYVOb7MpFn2sWQEzXbtUGjyMvVsVCytSKJ9GqV+3Bs44kM3fJIdbloCTkbXj/Y7x3VkvawX86rYOdm16ImfXXxWEVcjNbbjY+JZVrPONjP1k4Ah0GOqG2DqbOxpU/OJQB5TGiwd9s01CJ+Bc0bEMRvNrAxkdueukUgT/zIA7wqmDsyhAhbqvdEXBb5vGcufhaOtOVOh5TQdMk4ZSpJdZ88FHqgvboQddClHMbdmz48uC6Oiq0f+pILXSRMuu9rySbVqLf3rlQwOAVp3lygXgmBxTTEsn9zmWumSkBnGcSCDWVA/ER6M8EoYJwZGajPIA9jbhXK7b5cKr/eac/Khf4LXw/ETVtau59e0kPAnvYaaTqUMY7z697cq9YbdcBD3lrPMXlpMLrBWt5gM+VmdUYT5gvYNgN6Inn+eGBKSAo8lrx79cdR8N776FCKfa2/Ek7fJKtYlV4Bg5APAo848Ag3w2Kl6zZHtsmhhwS8A16ZJvUnA+1xlsCONWGnq6X4rHeHwfg3wuXNFzrTCiUiubFN5wsih3gx7+g9UEXaHZEySJQfSkGSYg5wwqZneagx+xGEk06yaUrkEYiIFdi8D6XoaQNqG545qGxisF3ytDM1iZh0eIRdNVrjk96oOwhReqJQIckQh7g9LNfr7LVHjP0lVkQv0jfaYv6TPCECnzC5oxrwWkSyquy5lMVEnFkiceM/3ig3uoFt9QeMXCPR53/reHh8LnWwlSWdjZKO9h3G77iFhqAocwYxYJBbNZ6bLKQxyXbrioL7aUd+yyb7MxNVlnbAU6gInWaKc3Jdm/JvWCGBD49tGOa/3mY+IeNvzd+I8zGGPSkyy25y0Jiwf56KKqm5/0KUmWlxzfI124Z6RXw8dI44yeW/ax7zUBzwDMPkNO+ss/3y/MsU38/QGu2NVCFF98APhCX4Tv8Dn7BIn1ATHflJnjg0/RFs/dbxT8ue2d72y+ddeT+z972bb7Ut3JBHfzMPuTAW3ngcoEdOXxfgCcQ3pMfukCuDT1HRPhVqw+5oLFBc65qxlE6kBzy15xq03uFoypYObAvprQHLh80ufHhrEN0KHUAcf5tychvnj3RNLYpUsbTLxYRX2XBWtAAExB+5pz6dbaMlPHUzMmVBva9Cs2MLr4FDDJ3TBbwW5lp38wFYGXw7HOjiWhO/DGl8H6IYvaPoMCDLQjyx9RWyI9SczfleEJG5EdoZWfB/PK639Ri5sCND9UAmNSTkQfvHsiin9LVByzWNLXkuWLSk/3qAc8nBashHscS8Cko4fvjgW8Il58QmzKzyZ1b4x7yxKEE/ogfa1Rl19dZyoq7GCKrMXd+mtuNljSZs436qjrC6MP4PXB8pB8X2vGU5fqecryvc7Jnlkx5IHFpkwPRY6m6+UGNR8A/3zlTvzgeez5konvtwwW+1+XIxhvuro/S9O/YPCa23stFg65W19SWTIjxWcuMo24GHATd3cSguTMzg7FkZ8PtbxnTXdqiX9FC3gibO4/GzHgMV1y/7qT2UutH6qzzo6htFY2btJ8g0zcPZeHd3i2ec0APm+0Mms0FznqBBPCQlETwjhl30FQD/5dC3oCDjpmZXSAakRmMhsyZddIrXPzzx9kCu6/NnPFFT0kP+d5pOgF6o3ZsnOS43DvxjVmpTRf9A1zenAFOR9EYj3HX9NCCRv/KELkT5h24ZQPHrm8smBoWnWdqachff/Po7dqJG9zrucj93yxiCwm9PeuM39B0SRf0W1OSQG6914+1fYQcl+jzLNGYJwP5Kbp1KodkBTltT1q+x4sSYtOEVSvblMc9GfABYvuVU5Yyl05F8a3Iiwu3cMlZswKM+1IsxvJ519dwGc55act9vQTu3uK06NGt7GPIXXouLR4mgq8Ak5s094fKwlNlqUm6yK1zFLMOvzg2AW39yRmiieZ33o/3wk4eqocHsNMV7NtLtsgkc+4PLtA5oeROe8BAW+rUIYGyzl5tIY/p5ieh/CxC0DKmHgNiCDgu4kLb6YBfWm/IzP2HGLtCcHSgumOOndUDeuMu2h+ENZcu3xEW7yioH2oRX1K2ZL0caqtxeBhcMPq2kyGOM+T3wCUxP635MfBOeAHtwvhPFf15i/llaDywz57I1sDBavi7jcu6elWj+MSZsvcO0awF3OPNmA0qOA5ND1j9VYe6O3YYENjfJlacY+Ntx6ZbClpO9im8W2nV1rt77L3XOcAgKSKpOV/XzZVw/klbtcKR+iEdA/yQp4SaGTt+yLt4TyP2gHw9GM8TlsNeQE1AuvVbmcdtYROPtbjIhPeo+1jUzNOwThbp/2qWlhLyL+jXO9F+lznxF+TvjgPeP+e7bmReUJ+Vw9iC1ixkuFqllPQsIKnpP8G5zGWr73hAPxnkRykCC3IEPGu8KvrCzBeM1J/X/fVOTL9mGNgFb05yg1szY5nlTSYHDjlb3goxEXjH2bGNPdwZlwK7BSykGeWa93Onwvi3YNsbvO4rsfEA73Kn2PmRMExAA9wKxl/nUbtS4F9uy3sh1nfWrW/KBR1zmm6qJfbzXNPssW7cMc5Af8SXo5B3Uzts5hdDXv05trUD+fq2Wz48tvleQFPTIx8/E7eZDoHe8M1rRgboyi64yezdJqDzsWtqssmDw+qbuepZ16QsAkTakIm4/Dd17nYxYH9nNasK8hjvApsJ+ZM4pMXWbLM8PpTwfkDrxdhGV+Cpienf/NvzvV0C1gKfaFalg7fAz40XtWV6HTPEyzSb5lqoT6mJc9g0gLHrsWbrrAqVuec4wBrmialjDb3GaDip1QPeF98tyUI2jQ/586Ur/cKW4wF9eztzBhXIR/35fttbazPjJDLe2Qy+g4BcrgIIC9cPSQ4wvwDf6olfBZKb+XzEmfZZq4u0H+Nq0Ve24bdarEkJfLjK1cvHzIb3g5OltuigDmZeyzGcQA/iDLAmZrlyqQCID2aHAu+pHlf4bDUWLTAbpt4ExYfE8VZHFMPfWLcyW6+wDbyksymzY3bsp1Kg7lVLvKGm16WLJ2bxEjDqwTT3KtC6JbNvkisG+OrWNjApcXcA6x3Q+xA/U1Tb2pd6HEsneMB6/MghnUnHR8HSx87GadbNrcyNVyj6emkHhpKZsdQBvnrlQXeH/FNmls1NTZwCLUkXyEkOX3Bvans6jyGdws7B9TDea2T6guNBDngprSYGrkEyZvwreWJ0Gx1GYN9/9Rul7PHhGMWH4jFhwIi9+fvHTbqSg/FVHidq7s4de0tCM6dC5scOicolkrnGg3W8ErG+Vj28T7bu61Z+7kFT1mL6rE/rlLTyngSye/EowJwYRzKG3MiPTLk4BO4cjUsS6qiy2Cozd7qmd4qTM3PHN4YAw07PXkCbdtMdNLAnB9/bW/XCosADnkpZHrg1aB/4nRC/f7Myy7qzW4aaGbAPF47aHvNmhv0DHO+62jt3a2951yxHI7di0MRrQh0eYI7mOudhmjcOE4jUw9ZNHXxKAntbhZD/nXEFoW8Dr/uqO7K8zhxgrxXGI4/0yOLCLlLdCMh7kLvXjzKKt5LyK+sauwpIoiy75J2pvZzzulufD6BrgPua95bxvBGik70KOuMdBrpFD9jmn+Xp/aVhf4qcl4movdRFpdA1vM+zq3pznll4h2z9dhxilAJR3UNsiu684gPfpQw+C/SQ7K6gOXVyDNLHUTePI0s94K2Pg+FtXBp/zRA4+Ot+Ocewx0R/v0vU7JLw7taotguNJ9YqK7H9mdjqN8nrCxvQIG3/VprZ43bTg3bSqTXNoBs9aX/fqd3c0652QbcViTO3wLnyypG8cMlL6z32SzMlIr1VG7LBHFQjrIO558ha4LtW81lvuGCh1jtb2zQ6X4hQ99LWD+AGX9JZt4nlvQFXuqsQ66dfRbR1yn5MWAb7v5u/juFf79KmDmOL53GZsPVvbX/cTaHjMeKPmk3X2o33ytU4CzgmufrFaPTT09TD5/uZNcFeJVsenW9Vz25q4bNZcxmO0tQhJSheqda/V8H82ht20mJn5+jhEKzgxUtZWeMPxJcF/Oxtb39Yiukxc+E3QX5kNG6BVwQ19zts7o+y6QdweZ+ZHjymnNT1eQpL8JwvL2C/czNb4P7qa5sKa701PfxF5z2qEP8opO3MmpfMHiH/zhvGkEs7fAbu9ilAz0gKu6a3XBnBe466VdlNTR1tH8x4XX6uUUZRlDwgF9DOBq12OAbWi4v6FHakslaupPhxENj4bUOeTNwDW99NLxmx/W05kK1oY1469iXp5CjEGvhpLECDgAbEwPsBpzZkqUM8cna3E8Rz7hhv8vGm8uaFvc3ObX7++aKhSEVb6xDpklNMEwc1JZs2SSsh9nUuOMRgi9O6HyO6SdwjSu6gp1AtIN/1fJc4henjyJnzvUBOwMCzSOHIFJ7lxQFszEbMOQmYswbUVMLMZyztZw1nKno7l9Go4bvkVdiUEB++GJoBtIolek9Xm+ZCcj83swqSjS846xzVbU3dzoUAb2f9tGF8fPWMHDJYp3KjzqxfjxXk4RI4mLL9BPjPjxQrL+mb2XieMODEyYaAQABe7LxbRb9OmIhl1c3BEZagdqaRdLGXwGtidvrUN6Cgm8qOXxxgkwm7A01aPOeamTpexhyVrRezBoAjgKnne9bdbzg8L6zHHuCwzsyMNlGsmOVFx/7pJXYXqPktWXwRndFld+vY65YL2Ut43tdnAVf4Ica/RIx91QIPQ/EBb/R4RPqNtYG3d8Zy7z7vzt5g/3pkw4u6n9/SzkMJ5MlDjs8Js1x+moqkZ8B5Jc8YB25A9oJ+3I2X5gujQLOdcDffKfw9iF0unWlVLygswzWusvXv3t7aUjQhB55JQhkfgJ+RQe6ThU8i8G5qE3+yQU11xMVuIX2F8EV1ylah/AHObcH73rz6iRLA6prWntrgDehjAbF9zT6vC+govHPm1HgOGx5FkPFTBC4+1K4M197+8W5q2MtkYZdqSBfQRRKH5Kt8XI3/9AS5J+cs8Epn/eI2P8BPOhKgp895afp3NOEQV1/l8P2oQDsC3oZZpB9J2xRVj9q09QdivHKsu3sEfmjmGj9nXuomKQfjWMn13v129w4OVIBWLPjzgz2UWoaAzzfJJsM9LlLw0vTIld3K3QMysT65yW5sRWh8LPgvsTwEcePWoKv2dvMLsUA4I7EM7AlryF3Ac5/12JAbit7e1f+b5XfhQl04iynRcl92dlcF6pdb65CG+AQcHfhas1TW+lbntZds9Ipa3urpezXgDeQ2LUG77N3ukvQxV8HqDvzP4z1bYTNzLGQL8OxXj4914IBBCAG2ceAvps6OuYArsAbybmamJcBRlTtucMhTCALvEMmk7LRHqX8g+biCfBMp5+omrX+i1hQS3pAskG2WQ052LFdFfzOsOXAewFaSEbG9S45oKjTiC+ASm6iZYVaADkycsYC1/QJeciLAowuHvwlmC0zrGxd8UTRZKK2dOuDD3m3y5z2WNXZV520S9lf7jVNzttSpC+S8O+njLbYs6yCmpWKjJ9lo+kVbtsFT5jQ2Nt4HkDkqgS9JjkXFpsX4TPMOexnECHa8GfjTaGoEMp0sxaBNz/L9j/c6OE11fIUc8kNyLY/52O0twuUgQa1ZEKvkBM/dJk5yA42SC0pawLsHt9QXD8cfZnePo6gftT3GkEZOhp/IhSfE1V+UrRbjO/O6T2FhvQKeOQLX3yShnXPADsDVEHh9afpmS2vemf7NRBttEe9wt85F2wDiSRcHTVS0nVdCzGMBXNWON5m1/qnchibMszPbj+B3vXJlXAXxtRTBg3dTV+jvOQmnqXQbd+fgG2sJBu1qZtVdD0LuMJvOwKEX4w8goi382TFK85EaB0PaokT0KAE+NQpNOhqNv8xBb/R/M5G5mZtaMHWtw/WJLipIIjJn+uOBgadAjJq+GY4hd5naCth7oOE5iDzUJnYAe6Lp5FB4PPpeyX51qwHTaxflmNkStHlQLPjpP/A6F6W29LClVqqDfMOICzl4VTP0AI0eHgeNS0tu+TBqPMQ/FDTQIZQNvM8VxEVROKZXx9SfxSGj8rN2AAdEc0stjGBfAxboQ82/X3sjqtvYKh1z5gN8YePL44CpCjnK+NYCbu8W+r/e2yU+VEjfihzfldVALN0fsrdWe1tuU8seRRh3qRiBu7BV9ewxUR3k1q3xin71wtR9YGqH3kgE6JvjC3CjnLL7jdD4p6RyD7iP0hxnzGoYM9oOdBnp5LnQCtak8Y6t79SoeVNmZnkuU7XRGHSECxhnl8Fk6s9e3Mbj8P72y9auBYK8oHrA2RZyvoTceQemRszsMNBgvaI4Is89OqMsx1uhzysM+RX221X0cX/kandAzeYo1kjosSHwvk1vcE0hwv4735BB8wlYdgAMj+veQ1TrOdUkhf2V0NDkGK0xxEmy4JE68i2xPy57q7nuQK9RozJc1QnhnWigGwZYqJwz7C15KHNOa3FeOJOvfWhRiEHY7yfG7DepdYGpHk2diZnlygf/lJzWv4fAHrLeiwtN2HOCgsYLPH/GOhv0kA9yE/s75w66GS/MijsimpG441I6/Bee5dVPlFCKvMrUdrHxXoG2BQ5nF22cADe1CeRb2irNIv+BbfIgAjgYk23NxzTh6F7285Zp/1Q76rdm800IGcJ6P2c4HzU/SJMvxN/sqjfZrzXEweEI76Fy5nPloAj2LMeOHZauRExcL8TBEeSGJut1iO1Rmpl0xCEiCdSntMcb7BPTB/xWifjCguaGWywKG2NOfbd00auPfi6ceXfMOT9yn5n8RAZyYuI5b2gLsfSLe8wZrK0EFE0cy1Z8NFx9LvOts7M/HoL6+7qXW9ODsXvOW+C3umu2CZVX3ln3vY1ffKNhgqc03wJ2T/6x5S5oz3+1BobffU4/oOMBX/3yyOTA+SgTy9TyKN/ol6JTnzW7WsfBD7m7vTExD5klN7A2ibSU8XiOIC+V/49H/RT2t0WX2KvFuGGb7nIM7B72JWdLYaUiDrLg2Vdjeg1A98FP+xEdO2tFF36qHH4ATdxn/85pgK4ViwpVTBkhSfTvnvZ1zvacYUy3D7roJWXrEaL9mg0fnjL9do4eOcc/sJcI2/gAg3zFNqAxo2dP1hsz8/s6M7uA/Ba2Mn5BHA+6yIDLHo2XnYVNb+SrhvOuWGKnwHxBR9qVi55z/xLtNyJQcdXXK3jPGxZpa+8or+KSli2Id+Bvh3xrG+98FaE97PWkGoCDAw/HPd/unWIGbuEcB0Uw+/Pf2EFWTbPQ/io7FfHevu2tUcow9kCrxiI3PG++0vAOyGFHmdt4/3oUsIZ1uAMOfh5F5/IQeypEj2Pb3UpdXPYu6FvD9yheGS+A1/nG3uk89rk+lx2eQXuVFew7UC0Ld5secPpWwe4HDd5h4NSgx6/Euc4qXJ9hn1igG53C7Wbj03QM5liFo6nnpaDZblKkK3iPBeiVP75R9POZ59rF1oiBVx7KTXFhuY4rNMY1x2/Mre9HRHLQk5KFoLl54TDgjwT4M3Ux4yczK4mceevb5eIPOFgHMuicQzRGoGVS0hcvnLfr3jYetlkydA/S3+ck0IJGaKqc1SX5u7vB12MwfjFrDqsBn+qleWOR8cbXO+qMS4Y4cI2VQ2hzE/Dz0tEXTOMc592tcNbXP97bA98x8xE2gOK8KTCK/ZQqBzSdC7p8D1hkPGN5xXW0A4wDzuFnnfEt4hGD2CUIf2GO9OHzavwOQZeNV5rDPu2Dy9H07fGXJrqac6heQA4vTlcbmN6hMDOB4Gsaj++Ckk5RvykHjpXlbZmlLfhOPzy42uK0/kl6+7/59WYew/lBnWZfMdKU8KzYOBn1+Isz+69vlFvjqrAhn7ZSg9bzQGc+ZK6+yMZv0l4dkp6z4jGZWd2/BccM9DFQIfkG7+ssdHAjTjMZ//6qnx80Irjsladc/sujj1XVr1Y40q+a2x9s/JQ4RgJiLzXe+sPzjGKucuByCElueiB4zGleP9K+u6XO1i0pgqjbOqYmJnmsBfDwBD7Ppdb4mcKa4C7+NH3Cxx4zspGvO/oygXwubTWY+XIpRzKLUpe4wK1M/gLOl/CP55ymva087PojcJ1HkWu7hP1Qgu6EuH4YLaHsptjBnpVCZoeg+RJ5sSIuNj5Nr/uvOcnevTKPI8DAp4eWmbN4QN0q679BO9lvB9N7yFWGN/xehV5MhxjyiuaZMzsJJSUe/BtnEyrRGJBs/VU83lfAs7waybiGeAPszv4wCunQ1DDAXvgVbboy5+o7h+Sql6CX7MvOzBg1vt8UNNxizlbUo9yk99puztJpfpWZY9XFI6XaeG4Cz/BiHpDP44a7ELttHXrT6zzKnKGUG6Kz7mxnA56UM0015Mmk11694R7uVFu6EH/i2yt7z8ty7WUouTGG9mTQNgH6xNpmlVoecIgxr4c4OHbeLXNjW4F+oMOfT4VFLXMuyIeys261uX/Nm4gCA0qZvoPWeBR2s1G2DI4h7JeW/cttVrMCzrBPczTUPYJ91dxLAe9jIIArZh4m2ZRDTIFr7jmKX3Oyfmv3bCeQAwGPJkCeYr8ALrbxqnbilASgHbO1y9rklqDt7djrH+MFJNm8qvv1nOVIQN4qeT83pi5W9bEErm8BF/0yXiRlV1h1/9KVU5p0ZMKf668kwhBX+o1a84YFY1lt/I4hMhyRvLFhvHGXiFrzkuWyIQvmyeC/FXycgL/+kA7dWK9niWB9Odph3fweQtvi2fT//cyf/16CHoFnBw6NutRag75KHOL6v7I3U72nK1u0K3LQwEwbz0B4X4BJG+PHoh3C+Qy5fgN5ZHVgkvO+Mb7Fh72TWICXcxmuXnx+ZfIozs3cl28LFht4cWx6c3rQfSV1jI6ZJuBPDejlL8KwA7+z4QJwLqyXpJVcWfrMmMREpLBvjLd9DDlGvR2H8UcFxjd3JH9r6KCdbPFbzWIt2tjHQTpz/b3ixreI+xnXcqhP04Ytvm/OhCB3EZbHm2OOF7ox9WffN+DaoG3XEezpB3wGq4fxS2g5lnxMKov/zQHn8M0qljgV6x5lRE6A+SvQo1u1Ufk/b+bU1CxtpN6uCu3jvWNHXOiBZ+u72vhfVYvnxG562Rlu/34/CK9kdmNh6/2iBuB17vg6c3Cr7u4cmPot8/GUOLgAzXFhS3qrtKRAijLIGUkC2eOwCRzQlu5RxwfA1Tsemj4zediSF2l5FmSY27Ejb8Arp+dnD81JDMRRw+s+5erurbk95mcPOK517IpbBnu6du7Ay8dTCnhPe/5bWHhMOlTWjnn3nX0MLNd4XJszWtCidmG6eYJ1W2dTKzRO+BIYrfhJBwyYRP7TKVMH64EyplY48C6U++SAVGT6x4BLBoya+mq9UqGXC5MTQ3SGT0sTLaedTRqueZz1Mwbd6xRt8eADBg6hQZuTgETxHX53c4z8v37z0rJWGdNTFjb7/VJf9o7BBQI8eIQcL5e05fC+4y8cAa6bmZwDPJ2Ob6AXI9byVeI2Izbzp3R9p/3Vq0ycROxuesZMbS/ww5d3xMiZh0Hr/CT2+EVPU2H6V+sgfdRmts1A8FEziBFYv8B4N9kX4up7MhQ3/JhSaWYgOXpj+u6JlleJVEMgn1fO9gF7pKnd+Kt25ldevmTdGlT+Gd7Buivdj4eM5KlaEKkh1wHWjeWGY0CaR4mQdaTJbe9AzIZya3wrsg33yy64lxDjSYh/sm7cw97amBlPoGWu8Hp+SfA335wzGv+CbsiA8+4g/x8IxISEnEw74ONu4oJ+fKNd6jHY6WWHHsqajc91mmzIUAryUC35hFx/2zm8yBa+JT23RTAhWGNzL3LI7OR1Ph9h6wqYPdnSbbZ1/264aljY8aoCrBNifed9YicWvkHuS48d32SnyQHuOjGnvlTi/dmvB1rqxO34B/dydewwpnl3V8FcJGY2Xa9f/mzXWuAzZtPn3tEks+N7ZU1z5kCMR+OJLcjiHV9Ak/3Cd1hAa72JjTZnRaf9Qvaq5+WxVWaGnJsKFR3CtfHXOR3b75vxuIY4YJzGL61Haw46cOCQf3gBz/IoqG8Rsb4Q8e5IwaxikdNRWC51+AT48yiNT1ePGuD+p3KDrrJrgIfFe+CMG/jdv5mVGD0IOT5mVc81tf88dR2Gmhy4u/HsLE0NP2hgvbPODzngqG7xUncIeGBywZa3kRu/KDeSVl3tig54ci6lohz22njfOxYguxeAzocYxz11ZCkD60Yi/fosS0GscYScpMNvBeWXylb2kemWO0goC95ZN14gpm7KtI7ZzWdpzuoG7jEx3ZR4v7DeelTA346DDErun2Rk6hzJjtKtTewmJ938OnNoiVV7VUiWosO/gCsb2Adx2mtSoqYvn/NnzN5mK9CAYWI85Tm6KhHMgHUPeIcNrMkiOvWDg9HnFGe1vbWoaErguLx2u4VY09/s4KL3TA2X5O5ztkpn5sMXC97K3KfGbTMFRcQH/SAMnTM9FqD/rUL/m48imDIzdV3gU+EBxR7+p+ULrnVqZj1DzrSwk7w4QM9C5R57w3dic7foJRrtqXW1U2Y85LSZf/6ZsdicLRitcIbcnSRDM5lzwqKb/xfXpmc8+r4T3RDTz1tz/8Hgs8pgenFs+LPzhQrNTD0cC1ZLuvgBYbHP2UwSbvIZ5FG3SWmEr8aHB9ZwATzyZecNxmfGnEtAVJjJy4+kb0bes9shPxteRSRwF+WSP382GY2T3JCyDKxLbXm6FGoDuvJ+zEnzvGuOatvMrSm0EircQh5ThxryMHz/XrCp2Nv1ckD+Fot4y4x3rWvmdAVWGTa3gqk2HfSrrpLX4n43WiZr9QY0/4ajbklyfqYG65ztnHHjHzFSAtjB2RX2lgLel9jU9XcMdF9FJcQ90iycIapnFzj7zCKZgki1CfcPYoOC19kyZANgxOsf2m8XbKb0cD2Ze1gZvrumDhawFjJ06mHkY2yPEIP8R4gZNCJpAWvGxEIjD9cS9gNgEP/aWe/Lc16bPi/AHS4ml/73XKf66Ysvf6rgvuytMd27Y8A2kFNd/814r5WDdvaPibDQ3lTtdkVb440cE0ob063cSDZeOGAu6NpJhOxifHSq3uvNDGoRPvn8q36+2Dvr7hChX9UCH7EVSnvA6wywyzJeBvFKaG4nSH/ijYyOn2sPB+pQgtpMXLTNWrmnjN0k8ALQZY+SEcCsegE11VXG14Difr+8ZiFNrQrN3cGHY87b4E2CftdJ8VivarGGnARaiak9rNEnYF5DdLeC2G2p/rjsXdXKp4cuTo5oFHKJRxyuHpCbcKmLu9GU+2de/p+nE/zZcx3FLW/JTITX7qzZ6MGULP7AKD7hqDlDvpCVTm3sTKBxudHLDl8Kr6IE8GLiSRDvRIjMfO6cALd/9hkAR4d3zSAmXv1EgEfwtob4Stm38ei8Yra9A3c5F11nJ2yNj/27wxwb1u05q3zGekzTfLvQbpoAtxPQNy5d/AW0pC3bD8ATHNMWS2alxgsk3z3WPy9N9N/ZXXrsY06YBi4TF6Ub3I/MDtIOFQlt+p3deFKMmkOuoIaz5maird5XVvJIhH0CjDpIG7QQQ+6xi6UI7y6x5pLnKsw+p9c52xsV8rcwPnM94fh0XaVsNlx3Lt1krj6vq4NAJ9AAZxUQTJnxEY6/mA151FIDFZ5TuzzLgJsIXs/Go1iEshfApcu+yctA33dW99LLVzWkq6MmKNnEuGQY7Vz/ApjqpzRYuD3+1hs5iSBxOMIbcz4KmBpS3ehjGMdm5l8q4hMBTctyvEto8MgW40XPHzWPr1wXswrZC+c/Ie/jbJAH3qq3zJGnI4t7nkvQ3p53CCYPW/fLsZVlHUmncopbba1uxORSMyeUIovpxrQWXkvLdiAjecfONr4/jPb4RtEI+2h69RNBbDR71mEqAcNJy2zQFk5tzXszb1U997xtZpEYnbklwN/lgrU8vXtmpgQsqg10zfz/Gd7bTwWZl2oEOhDF2FonpeuHNZWvWhGrCtW1DkDGi/GGbZNbGqxgj2URAR5BptRRiOWdRdqPO4d8ATy255FPWevPSsA76eAz7e6e9sAxTM1/eJ1LsV6APyRYk8+So1e9KAHsusvAeLzpC3Gmm8jlaefWC6XKPOshE/YErNmtYefVn9PdVFM+c1V3tuD7zzTUV4FqVw7ykoTrMLPON8HiTRLgrZl3QjbxnwfXztYLpPSYi9gyvBN42Ym26BP0di4F7Kke8jH19TGQ3pHzFba2xvP1riwzh9NbDuGIjx3yiK0Ls/6AS5ZiPDkGyNTbmzkXL8+ZkDLYU0I9CtPnBPyudtCdU1DKuXITixNQzlvY542ZWXkI8UH25xlw9Qu4+owRHg+ouWXR+Ja6PuQmdTB6tM63l7T/O3d/5WXjBxpjDTkV6V3aAdcA5iVzSSoLu7V1B53KzDzcH2xN+6Tz3piOE9JP+5SSN4jfgVkY9sz3XJlaH4FBG314hzzWoI2zJFKIs/FVB3tRrX96nsl1cjS1DAfYI5mFFhoky3FQLhNsdQjWO/q5/oL9kCandceDOGVW3MD3IRBvZ9MHkPL0Dvl54Az7xxAL0pNIse87Dv+8I9I66ozvN2Bodzl8TkWSTUhC/BR2cK8CRQlic2VqaZ2rDbxvS6L0YbCRWkbfbb3aaa7Jxs9ICNzT5W7Wk5+nl0Yno6QjA235311A2o3n52zMDTLT1izVfVu8hX1oZsR3sO7wk8Qd/Qx0AI1ql7rjYuqlTK1XYrShW9wPoEcBE1HKtGvy5SH6XmqbbyQnzZG/ag+uDo4SO+OYAz5dSIt/gccUNexVtmGPKuKn2j7PAhnEllg68Qm7DeTsj6Wiz/pSM6ujKWjg0n5l+mEuMtAXCXuAUH5KNhxwkbw4dsuA56hha2pcfvCCUx5uYR8iiOPkki4EUT12laO2LPTsY9i0wEguJeW72uSqxc+BX8xqwRO140/BzqZ/YAD+eQFdJ3DYQMxNr76bTWVDpHZr2HewRrlcakftaBRYxmVBQoICbL8S1/8E3nvHPRmrtklAO5uzpRsLQZea85uN32IrBryZPTxouzbnba3PybCdj4Zt/qf1jno8JIDMx8HcDeuSosA1cwIzS5+fNb4cM0hl5kzB1BEdSqtwD8bnHDh5aU1mTpHx5jfxtj/qYKY6RpJ+rIBPF2Tjeztn/fJLeZ4Hyi6Y2eBjFuI3M2cPuJpDuP4hljrjkNnmfgY4xKJChKpw1OVGh/TZgwHI0t1tFgR30LyUCTTBfy+rzzXwYFgFc5/eNX+9MObfzW1qEkhas7VbBXrFdOHJ7nvOuqutIJdWTpxRncxH4zNlPftXkgPHt1Sb/I06MzOIi+7OAXmAh98xVXHlyF/mjj+HjX6t4Q/o9YRHH6aOTZagmxLRNNyxd4ke77WYppqPNyl0WgvtkGD6kbnKgd8cCAosk29Ih+YKSTMHzSt6+5EF9T35XJ9Tx4urjQY8JK/zw5i3MaVI49rMkg1HUEFjzk0/yIIRe977jgXoclcxy2MuQrC/Yhp1oKvnSVkayIMqzOyaNDc6rF6p3lphVwVy+V6VLfEZI6/zeUyAv9PT+vfFsQuXF7WNPRqaOab186zMeD5WFv8CNZJgtj6VwFqxDe/CGvfcRjcV2JJkU59skKlvBJLs5bWrueJNorrmdd4bJW1j6o9hTQCXHO+BH+8X6gI/jOrHMZKnxPaNt1uPxbepYWoxMEklzNxjbmcBu8iQSBLFb4QmKwz7D8Pfqa3xcBxwBs8d8eivzuHBtZ9AnPODuN8Sjb0y5z+FU7hZZ86MbcD9GCfd7Bw28GY/1y6srwO8/znblKPgXnS2BH57K8X7jXVjD/wb+CufgUM8cIAfKscv3hsJHtyOm7jHp39nv4DOuu6Vmc9aFrbqxSB3kCOvmetndNPdZBtfkkHaOMeCCbsEnV9SBt8xmALgYwWz6kW1pCi7tTm/Csz5z+vegbKtize+SK30Ui4fK9jDgEPdzPq5LHLlGX9y0nnX2plND19aM3OmMEkJmqLoz6vE1Mkzgg9szUuXm5msz3NVMxs2sRvQYfKvzpy4hensSCoHuRg0ZZYX3t7+vnMeP8/MGJcHslEbOSQ35Y5j9t85uOm7gJw8lmwyM1XhWfFQd2OZdrOZq/xjZpJBTD5S51WPPQ3U8VrSSz/p7HtmJ3Npm3kbjU76mJm6nCQiUwF6GXL0qhqKB/DkLaaxDXlqn0WFkzrj73H4uBOkjUb/zXr7Tl1NQAv3oEkOZnbfi7NJ40nZMuPDX8pQZqUb744QayK0E4jFC3Cb+Ijgv4vRzBa5iHDNklCJuuee0OMuiT5cmY/2cxaga5wsY+P4R4AbZMfOzJD3XtzmBnpqd+ySWx3hWVray3rcpm5cUju5w7OY87kSOClPqHaM08nOjU0dMTY88rCB3MHHc5Xz096Ji+Pm+0YFMXWXqxJ1D8jdLQn/PDFgX6/uByEL1r0vzNRORJyqPn479g3nYjwLxAv4rDfgmqcs2j7zcmJ8Nwa/owNw6c4zvZeUi8nMGRVVSIqKny9y+Jhh715Irl61IoBC9rXaxOc6RLmAHKs4/iEaHUTYwJ7Gl7SbztL2Gybe7aOwA9grsI+CVRWpWLHmxIPxlLp6JUPrQWhj45BPBSfEeJrQMHWTRb7ycpZa0w64MREUu3gY+TFEl9JpdoCprdrEDndGVG4w/PcmzZ454ht+3+xzjjjt4IPbwK4G/gvftaTBuHvOitE6KzkpS6QC1fHXWeUuewDX6wF8rTkCpqWrxxSWqLn+u3NO3UIDnWBTQvt5Y/oFJfezhLK70hiwZdpATnCevFTjHyYAGMWYVa6mzBlZ+TnlFHL4i4tCDCbSamKVQ/xSlNMQmfkSKXEUMPvpUbRSlFRnkvNHJq63nWPWMnkU3WpVmTtCndxBB/rADePMsT+Pxr+07S4i0ovJjea86nUeZXQ8cIObMV2uxMwrvV3kRn0972YiEwvyB7D9mlmmt73ZJDY2M+e2tUtGYuKnM+cA8mzmfYthPAmKLjLqLoDXj9Rtfg6f679cCbwxxKbWXp+Xp8eCbfzXcKla4FHABfYOHtmmhtzlj9WAruxZP4Z3NOe3LAQuaWpe7NinAWStzmblYvpL/FuSqxsRSmaf6xfvLZ7nVnmDWYd+BXxu3UkpnekrC4iThVyDdlkB/7BoaPxUTW+UfzhucJjR2jkisqeID1UA+NXbpqbsmnTIZdbkJUzS0pm/TM/n6z4lg7y1d5kHsdBlPdqnOnX2S+Jy0OmJ4004WPfk8/1Otf7F2WTeounZcrJW6go0X8055cDDadcEpnaIbuQZVH6ZWCQpcn0Alv7a8zvQeEgiXRAXYxZcb8AvASvmn9TMPIy4jV3mGj9VpTuvXuLzswaPm5JrWfIOg64jDyVGklirhYXvKxLgEeuYqSH+5YPSB+a9+Lw4Mt4cApLsXCKB1y3FYwLuggTd8BZwwxeb1NwYgY5pIuOHYmocsN1cCje4M2F05NWDd31/6gkx2bCHXeC+PeiDEze9JmL9uieazZxvmTeAZ/pnZwPr5Uafrb94pzdc60M9NB7o/AD2U3CMzJmw8RaDd8KJmZHmgJa8lzx9iI4ZZy8E++RaRrKH/0lFkcWRfHnc5UmemhkwuficvvhCsor7lwNwCBU2KHMb0NDkXAw+4LB3URuljwPp5EIwocD226YDPdebXluB4kyEU5uIyfRMyIzB3tx8eAzF7h8eIt0WHA2ZS/Ja8BWsHGiAdQu7418dM8RrOaQuxM9FaP+3YnLmrm5Z20wHrp91Jv/FbIIpCVKKNikfhXLxLXFM7UHziq+gcv6r/aB4t3PGGHKkINnaTeBPZGKOjmxNs24UmfHjchvXeOdQN4YcC2vuglrh/hvvFMZiuhcadBJo1B38tHa7B+RNXQfji7N1IoMcbss2Y7MAjL/zTVwcxLtFLeO9qnyzHtz4/w7bBbL5Kon49IxJyCt0MR7MamF2fZMdSiFb/Zo+OMDQMnHSS23FZjbdi2/Myo45aT8WvDQzwBTIY9iOHc+OGq9UF8usi3HWT1iJO/Cv8STNnR4iP9T+uD1rRIWX0kG1ewt9pSJe0d70+GzNPPsNMZg84Fe96Fhao5lf18sTxAb/eAjUnJIenzMRf0k227gDFufqmwxwW3X8VwTGQ227ZI+1gz+nZ/wZL0DaswXY2tNnVfXb+4E+66UStviv/i+HBaTDrsZYf1+IK3dJDivi6M8jajLJIN9bZyfRHy7oyWuN8IVH2xuOEETzu80g4gAjOgm6qXi826k53zX8UH8s3LFs1k27YpGvnqxeCJSZLhsWpvDd340HncO6+aJs0KM5+eL9KMp+7chudfvLlb2HAJ+Q0sCLQN78m8VzX9Vug8tu3GTMg/wDOkRoM+fu1YMwQbw58J1DEWLrSBstOm+h/WSZ+j/a6iEJDZPdWvsFOSKIu5rxO2jULxnYu0qYWkC5yoLZzNABnu1NVYdRNTTF0/eM+rfj/+r0StBUS90C9oQjL4YPw12MV9Re9LVNunjHcpLzFvK2kGkJvIJbU/bU8s54VotaCSFZHa5uqjVnbK9zofWBcO7zyKjS+OXbY+rtvqp+XEEMfWamTk+g6CgkKjqZZi3fS4ezwkXceGCkwEESy37bmX0BcZbkJGaDSpIFBdycvQ0+8EufQBxa/3k2jKbf9qVTUlcBX4D4djobcjSnvbYSMwux13ZhIVt0cVJY6wdnU1aZ3y8AQm21Bd3yw/POAZXk1RHoFDMnYSORekyfiemD43pOLEgGXfGKry5xZJkMZIZceyJ8+zB3Jv9mSfGdFKoEdML/8XXP3Esc++CRWusb6MUbt/QuGxDwZBWDFh/M3Vqt9Y3060VFMexnG7jrx2uWhK20f1D29pJk60EIdZdDd0uG+HQQsLcd+7Q3njmmpsMZ0wRyBW8ZaAYupChuCWBf6axZna0X6vrmhG6UbfMpQoSOG7Wjhpey+O/upgKtaLxoQG9go5dZPgbKahDkMUe16kuEEvSjZWZxvx11LNKeODyYxnqp59KZXGXNVrHETPY28MvEpeGEzX0tDu7LgTULYP1f3XISEidx7FL1EMkBMDOneRQZ8A0EGOQ0Mzd3iiFhqTkf4Oiyc/HEUYO4loW047y0zpYMu/vrXLLaNCnvUI475XJNLolD5P/yF3Dqfm0dwzhlYtJlr8PM0cCF4vQYft+Fxm3REk0HJJJlCzl4jGsk/9UIDp1bc4iLFsWHDfrljjbnEZdMrONE+600syHyv5kLP4L6reFewCMAZCcJavEfh4zkvdLdg7n6AZi2PM9KIKcmubwDx1sIaraCpg9KYwpatgMMhNgaJ9ZP7THSqHD0iTpok7C/GYXdIeA9d2X/310qYFBhs5xnmcUvnHktjQKvosiv3Ab4F05osH4zs5+BU7vSmf2i1z7o1JNo/fvR9MQg9VPw+GZ8xVQ4wb4c/zwJa7YecH+HPRXcnudH/bSvORoBp4zG0RXkZMW/TQ/kY7/wNz4AxnBAjJ6DHlpvKqrNPeU56W16DKRmqAlJq65HykllN0lCX30c13vNVSrF1q1NnXIE+bXlxufpXEcoAFzih2CKKkudATPJzkbAB6U0vfmlOd9hMmYccEist9kAHB10lYoKOwmxXwbqSgPvmgn1qt+wdzb3FCrsMpTtzpkEDfiOLDwBrYiyDmKtG1HmQDx08LwsRjzXGQ8wrFl8KENg4taayS61WaDvZqZ2ZeoshrHNuO+SUEVJ8HdvXhgvIuMJnnDYn8xbim79xijujBft4fP9dhyaLQNNdQxBj4C2YBs+Mpo6DPAn6flnDbzYeA+xfzz4nHZGt8yZeqzTMmpuxtvstQ+Bm7jHjqRs0+AM9DDwNU9xndZaenW4hj2t72Y2T/p4N9+jBOz+lezbzSg5cCvuzd2uGPyLqZUmOQI98H9Mndt2q7jStm+JjcmIDycxAmMjgtAGdAaIEQwCE9uxMVf/l9LL+f6DHqt7ru4ERKnqeaXacAviMbAxYrmJgQN51X/FeNQ5nTKnFLeoDb1jxeMdHYdHG+03wHL/3fn1htFiN0fk2oTqs2bEzPKM6wm0YeiBnuWpORczvTcxi4sG+BliHXARkbnz6s92I21gA89zVFk3k38VZ0OXVwxJQv0u6825/kyU1lHpdnkyPJ5phAshsoWctpsmJG+mr+LRQUllff3Xc8nhJe07M+fjBzTWAO/1mke/NK7cQ7xZ1K6jpU0OzcSrylZ5Mi4PaWsnQeps+kEmOzlQgcH/yr6iyLyHlQddkTjJowli2KV6VmYGZtCl4r++TB2fpM74X23FTk34I2PZb10oZeDFTF8NWz4ERyHE1qKOyKmFeFqxRdcaNEto//a8KzXswRX/8N96ZG7XhZm5DhErNDUu/x54aMCfgr/c/fX7+l9OFduAdn1k7GuBWLQKw5XmbLkAHWlOXXpt12uMmEWODVXfZp4HYSSGvc6Aa1fsgAgCn5St4OEc74hDnVQRuWCbm75vL/1l+ghvJNhaG3SyZvamDZXOQ/D7Ir7jYQnbfOvRdbgfLbuQvSwSMQ85MAQvZEl68PUItKr1voAvBs78cmSgr/VvDyseJuz8SDl+2WFfCy8C7isVHdaEdk6zIzGw/62i5K3+2A71iN/A3eyzCZ4/2D5Av88cdqe5tzE5mqDjP5phpnnRFfm4vdUWPwtQBIxtB27mM1D04nnO2LyREV4r09+NSmP3pq7OsJ5HBJqoQO7B8txssMGPgL5j+kksTLnGCxHbnTLntKdbDhpDtGYuRfFvrUUC+lcfD3ZcUYu8cg9oyQkrzRkI+FTcIzAiQsiguUBfa8vjMKHMqhyIx86SJn03H8E6Emf7nSM0N8PXJQ0WiTX5PUeuht980o4i0y/AC9odv9Th37w2zTgHv7IYLrfV+rVpQbs1ozcoB55B+xeOdCiQBr/iO7ggoh2uLuY4Bn2bHxy+y4PtrNY4rEewQargefhG0NilvBvKlf/mDr0YoO2TNQ+SVe3M/CwFNoDG5gSamakZ4iyBRd5kFv5IaTccrb8cigLsboI4siu5flY2+gY/CVwed7nr+7zvAsZA/4wkNmfqLxbNiplQ8AuKYZRb6npYfZ0wHFVrYic7vCjgUmnhEzCax/pkqVZVcgE6e9W4EYsN3zjB0Qx6ghgdafrP25yyJxBcDBrnmq2vurbbtXb0Ls3fLYjDYcb5d6VBDAwkz0Ow6hABGylR2r5bMh0T6/YsGekk1aYPDFFD15s+MHmASekET25y3ezmYvoiVaYnBJAYdf7q2vag3rUauKmht3PEFz5sTQ+gohSZB1rUzKYXePI/QSMVwHV2rcmdPLdGH38o1z8AJwQQg/KEmn7J2009/TP170brEWlL2DPZizdMHkmV83ihvW9RhN16mKN86q7JCPrWzEjg0qogjv32DI3KOzxZxFwkMrtZGif2BNcRmSTmNqH5x3ZPreX/r+2wgfVe34tT42MK2VURP9V8JhloXDr5ax3Fh9pGoSq6C2Mygvew25CbqSo5c/0QbIBXYvNoC+XQnU4T178Ar4E+ykx/516OG0cKBFqXv3IqPqspPjamb8HzdjRzUquCPeF3SfxxvYNdWpjrEDuEQ+wJFZXf+YrigyufuJeGqw75KBN4P51wdAUfElaWtaYB/jR/jq13mxTJaw0x+BwXD55fRfE16VVeUVnWKzCapWMeoJ5Nc5EAK2Uj7GHd/d6Lwxpy5thLqeUGeNzk9z1Aw9zqcRmJwKc05AiH2zIDXUj5qx/sbVe5mVtasHP1/FMP3YNYV9f0tWNC+qATJ8KWsEHxhjvAzQV/NqH8Nv2y22GLsd1Vyp0lMCywTeeCig+AC+B5skujSyctfmfmvrgX1c4NNb16axm+130sS0pWYCdG2eJBrDgko7rnAewJxvd83V8o5/t8Z+pZOTCaLNuP7Xh8vruJmVc2LldlSVMTAnr2xqtCXXMav77XpRyBUXlMpVZ9s/ICswXsogNFb4PG+FpSqllpd58UdUlKQfOc3tcEfBkbiC/4HGXjPNWn92c7lsD+5rtujeot1BRfGgHfbue/9NeSuzFoTpQp2vz2b2RR+ZuPnReDTWzwUE53Al0Kvv8mVMg1G2SZOTcz6/JOHHvHim7IuXJrp/NpgYC14iP8r2dypyWwONHodc5GMDtbYG1dxRvTLwU3piaPd0fMydHEjXI0DMc92OtH4sK+1vNcC5s0g6RpGCwE4UfCbj0fzV22ufXzNcSkh2TsnlgPG7Ta666N1Fa5YeH1UsHPyjQ/KiTD46qfTc/jfIc/cOB95IUPMc8vKs5pZgPTBXEHe6VLho0FPJmlgZ3Ae5ZgI0Vr7hNGDhpR5dmkHtVp67/W0OQb/taoDr812705a+Mijvk4V5neW7XjyeOK+sr9gnWaT6THlRi+7INlZj9kDnXjRRT7ldloL4tgk5uaLM2DkgFPu6b/b/e6C2CYeTgf7R9zlpRrHWbucM/ym1P13Rtz5iVny8DCYHOwdShBgyQ7U26OzYyjUgXvd1ygG/ikN4m02RNBDbGJ2HtLFv7TnJVgiLF/97DBPKYQadT60l8mRsVmltc1GXhAfu/fQY+h2JWTP4DuH1Iur5WN3xiaeRN2F7C9VYVxxwviKsZ90H3PVMxxMnhAkbfXvUMFscKcl6ygif+b/aaVTZDW1OpAS2mgsH8bzMv7wZpBj6hN5QC3I1Oz15k2zz4pZoidMcIQc4/Pm5ZhXCb59kdM5xVb6qPd/fX7ciFQdlJ0PyqUj1LPZgaxD1qBiyK706izWa/T0o5D4P0UW7EU5h6PInO3c8t7PYoe+IdxU3++URCtE2uZ2wDd4FnfDtYWZWx58eFQDnytaHwEjZuZuoLfPhW0e6PT/EOifxaO5CXd4Z985Sy3bqBxiIS1PbegYRuHnCSNId6RQzbJI7HlDFo2xuu/J3d1ZeaYgt2+8r5KNuiUgbdQNr4pbeLHnCbm7k2gOTezRwfw9/0/syeyTBA/j5oLAYWXFSqV4rcO1To+tw7Y1md72ppZ2nY1ej5wQVZPZ4hD19dZZQp+rycRohQBX1P/Gw/8kQfqDtz0IfW/zcFMrza6Lew2Rzv5nZlRc5LWpxsm3B8rK/4Whf4UwWM5ODZvTNyIsJm7scC+CTNn+7pDzICvRjlsYW9oroLbd+OgkQUxli7SbaFxDvYCmt9qzJxvcZPU0bga9KueGFi/cyTdW/nH+yalmLYImFYHTlKgczvtPQrP+3cuGmmdj5pKQUpszddcx7BZ+SVn3UdpI2DvwPRCRMryYm6hOxuQlw1gSQEPBPxuufPPDQMG4TJWQnXmnIRQgk0NXTKYPoN//VJkEy4FBx+XWEjWO9/Mqi9hDXcQX2zYm14p+HfubI+Z2FI6mp7m3NzBw/cgF4gdUTV2BHigVCyeWvBzdagLiYaLEBLsMAawj181WUfgGtO3qcQc7bIB4WxUF8LQN+fKkzZfKtol2Whm4fKpHoNnNcH3tDAQnT/m2pyfmx77wAB9Y2qRNollckwxbJrffm8c2O7V4+4hd//u7WAP4A/nZOoOieXZYudfKcTfbAo2cpQmx/yzZPMPsMBYmvtJ5AdMy4+awXcK+Nzq2K6Gm5UUnZkV8CzXeAN+ZCRO5ibuX575pkbI3FsPwGO/OUVHa2t6L7kS/i3Qof/Vo5u7ai53zVBeYB+A9gqeZMAQx+wsDWeLu/MgNHCNWZei+wRbd6lG+xQY7rD+zYfNcpq5FR/+vzr9baZW6ee22XNzVY6zQ6wvY+sCdN/Y7ICBdAebJOYpewcuxvuMbRkNvAswNCXgS4ARBkVxkU9z3wbe68z8wHRwP4BuzKPOlYVy2+DLOTy3KxbEzAH+7YlGQFuALv9se0I57FmIhzOB706YF0uLB/lITqD9M9jfztGdr3THb6bPFTCqxFT9z29cQZdJcw5VZFPntfqfQ20ftDyayhHYqkdeOXq2NL1/+71dm3lP/PyUkf/bKwAY8VdLSSGB/fRCIwXfBMeYfy3ZyJZ87BZQZi+bd/ggTd+Ha8bjN8zIZ9OjjLr/njXnuwohcy5Ksl4dxJDcKwevKawXMAOR1jaSDLg40KbvYUYYW0GHXirH44LNYPtxXIl4wf/XSycVk8zrUX2ALtkw07N3h5EQc2hmnZj876Pt31VRmr5J51Z496aIF5Pfa3KP4X1Mnf4lY3YgQi8BXwi+qvtuQ5ODBCwZ3Fiy+4vLT7w2Tu7Mt8RROhnsbznhEALlhVgz6CPw8ixG4Pc/+QCxl3JQQP8cxaVHTW85Z5tj9+yAmtkAm+4rNtglL23T41QgDvpcpinHL20upBuzygFWjhSvLHxj1hni8PaZ7kob2AuXPca4wLK0Nhc52jbbJXdxul6Otp558HhIm2R4TS6KeWZO+htFKk4Dz2+Y7amgdNgYv+4Qs7KPdwxhohxl+qcDA8xnBX4QI5TlVpxArCmpmTtqWRtid+D7f/9/hJGC/QZxGfmXdugY22nc7nyR2N2Duf8eYgC2HQhY6f6V29On3F/w6DkY6Q/i8BvvUZW7CKfB4NII9gLDJ+x01wppM7cU1J/lYQrxdHj3jmvy4ObuxcFvFfXPuSsdqQfwFtoWHzf/uOIDfNtX3tfp6MKeDBUGHe5ShEYzH4xPHTOcTT7eXdV/beAZ+jToNA5vSI1bxkCnMsvoC7QRxRyJwIukc7O4sw2VnS31cIMvAH6F2ZRNXy+tV2b8DKw8g+6cv01vA9nv3SZS+2RKnvDtsRzny9E934X2nzXDGeiSQOy6mTnyo+HDkth8gD/zlUV8ZmKcmV0Gz2h4mkXdtebydUZUwLczud93+Hf3qfi6HOzsAvwbKsO+Ad4BM6WHFZ/JKD3MurQJTH5OZ1Hw8TL0suOaXWr6tVRcRXWwPbTj3sX2PFdB6VE+bwT66+s4ZxY+miFTwDY95XpztIJ7wtXJ3HvRwZsw236XI3NlxCyInZNCneAjN3cGHsSbz4NNdu3wDqwQf3CxXKrTdSPGOQXt95NPqs8ZefXi/qRmTlbYOZyWKz9dPfjdlzrw0MEhLrfnY8bnE9/BrrODVfR4OFpsA4wuzMyvatgsufNbK7lUwCGczXPGdUCBH0zvQGx9OUps/6/HQoFCzPA5G1FKpz34IMyOln2RobUe3cFtd7Kv9fnOreWKna876MscuD7FPbZTBlpWxyHnM1WjipVLjtSRDBj13gymHivZUGaPrxoE+Camd/0DeO6cwEqLItkoPWPw77xy0ZVbZ1voWSTB9pL0yRPrjpXDfJAQVwTTPgadWVv4LH9rTvicRCRR2t8Tq7mDdq+A4171KZc8wCf28b6wYGZpbno5lpskig/JSlA9MjMPz9wzzNLuQLfOfW7qYmE3Zn3gHl2O+USOhOtTtftacRjPapiTepSyGs29I94I0Ih/vFHE0sSoaoVI5MZmRnyWQqw7Pq+g2e1zAjEwd/gJOJW3SD9ThCQBv0Yc9ZS/s4j0D/jrTgTgt4PF3BvdlID44yRrPWwP+XR+7eVP0KG6tLo8QfEnC7czxIVv5Zg8LpIR2+Rg8gtw8H+MbUsKfneF2JXRkI/YjhNmcudd9U0sJAjnd1kkTrV2N8K75Wh1FQn06xz7Biz9SMwdgbN/MLH4NNJTA+tpcjRqdr6U+fs9FftNMpb3DPZgYu3BZ9pvdLRBc81lYyZH7sg+6/2Mnm4HDLqNhKWF7e6Y9OWdOt2LbTLQEgGJzpY0s4wnZWZE/UAcB83YQQwlE+i9N+yiFOw8E8LcKeJjWcSg57Q4Ol5fmh5pQ7znu9hllAfAzwMJu088sLWayNRY78sfiwbvqzxtJzPTBa8qqe353FgPU//+gN87HdfuQakSotdObb3fD2YWjgW+bCSJXEmMHdPHZ1h5FFPgtjlBSpsZtRyBL0Z8bCP/1Xv2m1taHlZ+ZMO8qXu1E+CVKg5riFACOvRSDuelFbD+IVrzsLnULvgHRxUNM71xup6y2KWWIjjogHG2QR7OLh7sn+S35lhmLY3/1/vo6oEeOGUDjiB+S4ihC9PkAfZ1F8DQyrEJtmVnZoTljtcl423Eru8lbnxs3ATi1vLAwdf9v/tQdc9ONyd5vj+VgFi6NnfZN14evr/OUi5GWwETRmZfVhCTGos9eBgfWAjWaMn//0wiqHqVNchPzfyZGr4b+NWIgk1JlIHOBS6kPmJW/JkN2UME6gma0E169eq/sYoQtK7uTtnqx2rqfLnqlAc2+Fy18tXMEM3A7s4uZ0gkjncuXV4xR7M0UqbGXCdOuYIGf5Zie8WT5Lggg2DxXAe3I2Pqhwr2utdzgFuOZIqNnTmiMFpA70n0ZTN2e4hdtmlP7/fSne+Nzdc6UG9H+3wBjUeJ1Z2VIHmrUUcQX+qAn2Uhy4rLsTF1AgFmGTA5L/54Y6Lc5FzOTzrMDzEuprZwZqOZczNHsIZnFnw9TC9RM4cCW1v4uei/vwLUgf3vZOB9pqHM8qC7mH53x9X/JAMg4iCR2PGjCpLlVTMi+8ARVO7YNFxgnT7J7p+HBXpW4dWcc3yAFvMbxDY8iDm2OtN37UpG/kwgrhmNDNrGKXuVworTJkRWI3SXMfyd26XdBpyTqXvdtdlZ/n7BQeDhj/d7sia/vWow6r4T23eOTmMLVF5UxG8Vw+BP9S1n/KdlycoLXiarSmsbdLV1fapg4UJsPDwuN/AlqXK2Bwp2IAP82l8h+CeL7uLvZGAPoeOdOeMxzCsGDRyNd7XNgVNil4fdTHRXyRUBBas9cW5u7mwW0OWwj4BpBvSRcXyoGGey94+JNdyBsbPS8f7uzdMI4hsfgHr5KaXynJzeL5WNP2qdXHKtUW3rc/3cRrkAXuMmn+k3z9I2ZwPt6GV4lMB0/IiH5W7uDmkhr5QhjyC5qEFqEulXf5sn6DRaTvFwtGf41nMux9sF9F8AbHpvxOAAY17qgoOPuD6AIz/5LruA3hF12DG1S1wVZEsexkt1uu3B4jV3+Ym4ZKzZokvw/CltXjUjFy4wxD/QnM/rXUwkrEJUNtZySFj3FBrHeQTvwH3QpXgwPSAbYU91NJj5nQFw8mfKNt7vGTnX94Qtq3LiUYQc2Hr/AJL/4NH8x1H/1YB7bzX4DPP3bUFIM5ETfOeF77hzXLWogsQm7vzBKVqqcBFYPMxcjIlHmrLhBnro5qc0pkB6H2zQTmVpCrxzIAyXbPjLqzxXTnxMInzBg7rWsEdIIL+5uHXmzKoNbDNLLmtDxZSwcR3eJnO+JSbtgN3IzMwxRjoEjj/KVb41VD4b5j2SiYDvXW686HCr/Vdd9n9542O2gecocdh1+Wr6a5BrDjtPFfoNNNuTrKTLBh7nYjubs+6jDZy/y1zaD5t8548JxQJ0C+fPm6YB2F9oRyUoYjz5Irfm19ny08SUbPLvyQn0tenfJbabxA7A12pRO7Zh5O9kapxEg35Hw+OwdmlLu44iwpqCw/tiRF2eNZF2Eis+ECde20jlFSIfbbCc8yF4nX191BwN0kFXFp7dFPxOM3oPOjYPBbYMbAJxBQ+tAD85ni/Z8/2Oo8TjLjDeCpp2UGlq7q57/KZ69TAzoupp1i313zLYnxDTMhPPXv6QjOjZhrJsgMFAo/eiT+44RH3eI9KG3nS0lrGO/Fxa6gzvCc/PT3W+nSE+X5oJHWtbHmtAUtCwm1IsPNOw/qv/JBAIIX4BS/zlLZcyWEBH/tYd3tsdoS3zgKeudsLxd2Opnk1qA4z0xgSpEvv8BH26Jr0vzSxWiC1H03M/t+y7QOcLB72QUXQwGrfmwJOInCvYO697onYon9wBHQyamznohp1YS2rUHA6zAvOykOI3PnF9A195xv2w0DU2077ybJTPeiKMaRke1uEJrGnuYE+0lz9iV7oQLxLw6u7L9ya7/SUN8dj2elcyc2IxU1zEJO+ze1moN2rqCnli5g/+tMPw2z8g36k3bM0/dE1sHGrw1fJaMg807U2LYMbK/nJLvffoZPJn/+orTb3IpmWdjyM/ZEVgmblvSoOmjgK7YQtoPiKT0WPAn59ppFNYt0ttzeZpD6XwxpbPB6OrTO2gjOYhswGALTtj2tQ84o9q2L7uOLIMfHrjLKZOrKA9OnG2v1OmkoqTSyX0LjN5UjyelKX8dtwC+237PPry2lHuYa+vqfAQHawVGP4EOi4BHhIZ900WN/gs9dvH+H9ruJFM7fNojksxl9U4f/OQmR7HK7X2T2pldzXOZnYGyaztoRzUN+PgQwpSVuLdAu3Q19PXxpw9HEx/Z90BAyivzLdvlatkJtQ3DfXrDLaC/fsJa0SBiXXJgUUH2P9GT4belQQLcJrusJkzEHaYD/Y1ZWpqqQ6T8bdmFSXu/rf3Te7MsB9lyla5CtOLN5QyAT4/WOrlD59ZD3FQdBLi00AddSR9J1tuagr5SdDhIoftj3JKWzC8ljk8m9MdeeGfgLGvdeg5sM6yBa7mBXZhHwQZrDvWcQXMUea7L4cPj9d7ETYQiCSgOXcQsYQ80lA6h+e7mQdrJZyY2sBzMs0n0C2HJsJpPbGnmdHUgn9lVI48RFMaGo1g+gdlduKQIaU6w6uZnUL8vCevM3O/tuMztb6WxvRpszZmBsFBDMuhcvFZgI0lgX2ri3ltpq46mrszoa+NC0wdzntTz2wYhGrw0RbZsZ0En6NzcrploIsL4kD8G+TrfCNuLO6JgBy5Mzwp0xbJbz12bPDhyvRfvyqagMZHI2bzoXG1YcFTHuwtyfhdiC/TX2psdog2UXLntgJfqK7H5/uDscXiFPzLaYv+arIYPzN7jpVlv7Egs5jTvaVi+UkLCXs7/iA0dkUIGgYYtbS/Hq1ObPiGPF9j0Qqe5xr0es+pmuReulqK3bBWH9vQcLupGyit2+vM4QwMF7KeOQmfRV0EjukJWU3AKM7XhU3683+5CROwBs1H0OSTqQFTIMljoyNNLcCmRV2YWXriJhZa9mrOseA7wk/eWoLyvx6trEfgb2f4vh6t+XDJBrWpI4SxZhsJvk2O+zXNb7dk3T95aJs+JddsiM034U2woHwcFlNHrXj3mQFXHV1c/TcPR1oS/Btj1ksvO7APIR6pCN5HtqH1ZBHYg+AOLWb8X705HkvQeOAPBwE6tgq8AjjKw0PwODgQLxEqk4LMVKsdaBkzZ67H7PbJkL9Q9OVg6y8HZgX+OHN2C/iI7HyHA9AivM6BV9wYlWNwacy8zQLobEAjd/Ej72VYUVSIIp5B781s8FxWdDMOcSCd7UqHrVM5VwdsOeXAEpXYvs5FQeuiKhXXDWZbVo9fq4mZdIjvVJML/JlHbOS1sNdAt4gU4aO0ugl8aK7Mvd+qywp8QyIWiHQd7PPynvPAqqb4Cr4a3llJIbzXOQAGH5lDPJFqOD+TYr+SvnzmdpdQ0EcJxGi1kgfoSjNL8VJSdDq66kxc3efj3jvCu2c27AqtD9RG+cH9Ai5CeXu6jS2KCd7hkGj8ygeIpEuuNawfH3iVDESbs8LEMWe78VMOi9c42yPdNXeI10XJu6TRvpmndTa9MjJXOm3fnUvq/zRsC/4ddEARe4qas02s24FcwEZfNcUE7LtqUXZPTY4Smwm8I/gRU+vISR3EiZmRR10Z5IVP2gJ9imF7qoruBNrqjVs3q3GImwS3PcRh0MbMLYeHDTr3LaX/Froj5ue+tEOcmeSEXffE694Vg5c0If/mFt4wa/kQhX9NI4h4PeZg14QGUjaBqffifg3fmJg84x3KsLUclUBDQ7trPsxZOYG+meRUWtptA5K94hcWHc4nkh1AayXBO2jkZsW2b1H334M+Tb8fDJwC/qP3h+p5M/m14W8v6OKXM4HvPQR60wV7LVseDxTNfu7+W0kEfMhwROhfDR3YNLk3EbmxEJEUkaFxcA7fNDIdY+hvTCbHbDD3F/a+4f53tuI4GfQR1rs3/VdzpCbBmJkzvCYUvSXW5pLBX6BJMxbEH2An8+uujf+uTdyZeyEu0MQH4EAWL3IanmoXb6RzE+1OfoLfcEhYuq05i6JdRka9kT2745W8CY4rNZYXbJd3ZeGoGZd9rtElj2LQQPPLDomZX4kjaX7uW9Vz0Ab/7g3HU77iWzUMsDbkUwBvtNx/O9j+FYsvS3DOstEeMdU/lMU0cYH5ogz067ACg7+BRnDof3dgq5jU6y5gU2pyzMUS/+dLmS0K8o1NThyLbbGToE24I8LzgwbzsQ2JXVqeB2t9zD+2EF/1qRr4lVrbN+Kgz8qefzVvpXlHwt89c6kcTf5ipeZjE5gzVJznln5QEZueEBoDw6cfV++wqiEvusXkT7Fov4H99wBda6lQ3YA/PFixZxXqLuFqSpzYqoW1cNNzhvGusuxT1utXzchRhbZj5meIvltyO1uI8760w8IT+J1KWGCX5K3mfCN4F7biCv7WdoFbCvE7bwZvyiJ+M34ky7c70F8fdfhwVWHOROcuNT2OmXzxBq5F/MwG8MdhXGbjokWvRLbywfTjpg7+yafOlQN8A+P3B2vT9hz2tA+bEk9ZT3wOXGnOMumobPIBvje07Na8447YjZYLcM/rbvSZB11ff2yphNjBT++LCkqr1NmTjGzNbR/iM8S9SC+8J6v5b1Nu+iHhqxo2Fx4BoTnqkQue1e78KcQCa8yzZNjcwUa9hqIOT3+/Sxwd4L/C5FSARodnqkQMmm3v8WD5KHv2BD3nAOdcuLlFtx4OdW7H43Obq0gXWaHvoEeB9kwPia8H+K0fMcQeMX2mKD8x52Zzm798VJLxfxvGwK6GOciK7CEpyBRX3hJE5lrMLDE9C0N9rBjmwLJxPioMGsmr6R6oszuowt/nw+YJevQN1k2b+sVkVXHjwPce1FoV6rW/bqU7wPOosDaatY+L33MeWMOjjVK5Az/hkOvBSkCf6QefNCWRNDnU14Or3rJCBTn303ZMHkensys3uNfD1WaB/GyQ3ONdF9Xrq67t6pnzfDbqT+Iqj1jEFYyczbm8sraBMmsGvFA7GCXRDLpKrzUwSDmQika+AH9j1RThZOdXtbV9EsvMIeNGO76RqEvYhBkt5CsuW/COa3K6HRKkHRpsT8CAAcTHj1qUD+VodIQ9xzgxXXF+c/wMsZhZp6nJCxPXezuiT3NerKaYV6frJVmHhfRf91arMBHkwE+315nehvVfT0G7Zz2SPR29m4R1bsMvV53e763wjAYagP0KFe7veXBdEmDNejpbfEV+Y2qKHPs7G4BLTzdcTnrOTu+bVmdLuQYXEQVLWfzdf9l5oEUeSNvYu6m9bscuJVR9K9EdWUAIRmbmDXaBRlNg5u96gp+ju4WPsZ+EjzUR8z2N9s8E/CejZJ8Hy087fi1SlBfwQcBI+m/meD7t72avZM7W9Eu4V6IbcxHfiTUbxtk0UXzFRfIsT9usGros0fO3oBATPrYEFGzXFqVV2TyDWAra7wYcZWPuxIwiE1Ml6NbhxQAsd6VgAlggtG94+vdsWRweHLTwQB8FWIc5w/3tS9oDpTjEbqeviwwGrzndWN2bfE/ZAQuFVKhcBTwj4Zwr/rViy/uByLyqvzkjVy/XEBWdzRPW2uJ8ZrkFHA4+i4yPTRpuE2xdH9kYX0HLnpKP23fSY6MdzJ3KRlq2/TtfV1iXw/NGy8GrmsCzgek29RrPuVY/8J6vuGwmhk+g9QpidysPybkCP9wUvzm1PUZqk9F4r563IS3QgYGeEBo2VIAODfM+QI+Z3sobk79GTU+AEdt1758YIlYegsYAjmt2nfM6n+da+wezvlZjGLdUEwZm6Ux+JMoDdC1hDXMnuYAFu0fXX/Od72XiFoggzoCBQE/BBwrQqIYvLx+3KRm7XgRbxsb3h2T2Jhne/34XeE/WcgTfEtYC4kPCvAF0CTlatxFYoqys2AHt9dmG2wPm3TWB/XWwmwUYbsojXMHPv0vQWRyeC/gyzwo/kg4mNNxW4KuLzI2DV95yJexzLRq3Rf+WPELgr9GMNX9g3W1y7cvGnj9KS0qVv9sUviFm9oXB3sCUZyLgaR5gO5k6YEo5Sw6aVPsp+GqTM1jIAmLvMFd/vtcxOVXkBsz6YMMA9otmQs29l84zC+cZs7wGzXuqsQ9aWrYDkpTNVypMv9GvJbFhZX57IMzAYoELuivLgRlwv7eO9r9nI9Dr3MbPOOjlgINOij8qsHO8Q/BExG/ZtoI4A3u3gTg1OALtXamzC7BJKHueMKY46/28CiDigd9jwuRwkSi3CaIcxa0g96rgroj+8m1s6eIud+Pvo8uW0vULFs52zXTPgi/Y536kCpN7recm6LLGJT/Y7hZscofF9lxF/FnyeJNSbqU7nZKhY5mt2W/NiItwW0hzd/y61xtrrp1myu6lS6JUkGdidwjeRxLHXkRh+lzHfilQR4Dcwb/e8HDeAMcAH80+xARb7XwbeMQjLj9VK0+rlVxKLu3S7kTSd4hG3UsTXY9uuTbh7UpAvzW8fDbWHIIOvUrwunVBMroOa23hOTc+bLiJZIcgdswpnf4tNXzn0jb3ZdLU5nxD7MyoTbxSbHNTr5pZNoL48rKNnE9dl1vEcMsD1vkDtOyJI51UYGMJs0Fvxw9gU2A6zsGOr9SJbxyeWhbdU0wE/F3gsEHtDxbYvo17HtwGmW8/SaBSSuOi7P/mm3+bXkfAqJ/YZRvFur2J33WPNjiERQhufiUSL991AxfYU8Nthm/+zFaSkKL7yUAXA1cEzapvFcQQZWa8AZ+kYWbjVb0RrgPQ7i8G6EhAXDrypxjUp5nPlSJdNhS86ECGOpqH0tSSB2e3HuxcWe8bHs2O5PtNYzqhB/jAWLIR7EZBleuUDi7w9lvZQwRi8++dVVv8MXZiagawuNmU3YZckLHpFT2uPsTybaEm9c1NPBltLaLyXrHFSYY9/PO7LcA7CAHxP5LlwbKB/W1aroN3cPWmRvNbPi6sZpmrxPV13mtmq/yowLPUDv9AvCtNb6pcnxdzlgUxd89XdoFYsub8bJn8jco6X1LwgfkOnRtkZq4tR/gZQwr7U4TLRmr2MDNOgTLewK5X/ty+zqNkNm53lbWcM+BWOSjGIi1zpsE/zXHuLKBpQRuwGScOj0RQ2oTNIRHeIwVaTGB/SWPz+ft6sFVR990jCUpgWPAGtq6yYftohf3yG7RGaCEjftYB/qYr+lTjsqts5R2c7sCCGyqNvhvnoGXcUsCHQuhbE7I7QcBr1vZAe0TAZ5PKwRTi7A5ibJULu4A4z2GdvHb4m2FdsQJ51Xi1gCkrMtw+8ggiBZKXROtFanKX4LPq03UpB/g9TMflgP7LPQ55WArtJBxiOMczN51BrKXInduuiv49ao6Nn9PtoF53HARW5UHB91WOHWS9j9JgzpnQm2y8RdmEskp4Sd3zU808V4TocLD1XLqySkJrySkOQQdY1bD9KMfHsxXoTez2oBuVybMU9dh5jeavWZk/hHKchu8uC0EbWnZe9QpiXXfA6GxmfrilxT9UEdg8Cjw+bhkJFg7Wdc37zqmD5ZQ7xKpGeWGrioBrQdc3C9XN0pqaN+RLMs7s7xzbwsfa8bw6mDsMnCsHDqygozwHX7njYYV0Adr1pxo71AQK9o/vyR0X1FKyDVRs7j1kuP2uRnvPhO2lwbaoQoTrCe0Y9XM+cP7no4bmUrJFZlq/AZMfDKcBM45ViFFV7BfJZsGAixu2XVlwfhztL6+CZ6tCBTZGNmZ+QDW+g35BQcm2S6blUTDvm0XEP1i3u8nJftkhxKFcjPF/fXqCmydd/2RqhsF37cthAN4Dvorie9ajTjnqxLnfNbb+NjENYsbzaHnO0U1Aa+hCRfEupejJC7xpRHxIg9ueBZu/fIA28IAfuMhsFCnOeTboz9++tvl2TCjY9+rfUt7dZfS15pEahelR5Kqu1sOGTOjCHbKwUC7AfGnNTY623bc7GXLTg0zcdpL7Lw17I5OyQbdR+M5+BbqmgThYMzPH03tweCjwrzn4uhMJ7AzeIynd0kncszlT9qXpJQ2cJgLbFyE/NQGhQmcb4DsH3pcnkbq0Y/m647CbKQ7TAqeg8z8rMX8nwNji4za2YtGNPQDHNBe523tU7O9s6mRlapWKeMJh8MwtlcheLc3p3cndLysNJcfjwk0PKxWob7ZDH4Lj17zsTcu7jOzw0Dizo4IMbJBfGhufGUNMDOWl1DH8TZdD7Pqpeqmx+FqyAWx98LB0OK00SmkRd9KxU+7+s+XqH8Euj2KcEaxPXDLv5TfA35ago+G7U7w5mhwoyr+xc3Yy5+uRsqvbCGJmKr6BbVYsmHm+ct7YzaOcGpcjlObMQzzyMWUesAXC2fqr/eLEWobM2AjrXjUInBXwYjS7VEHzZOHWVxGXddh1YM+9XMnUaAyczywadEgNJJW2ulWW/Z0XXSmDTueD/aFW33TqeUr4hKAdYA8RAt/jRi2OiPPSRLezYpbVBDJuEF9A2zz4cDtwZ/OQRePmPLbhz1bYM6ixkOkNm5KgS0sRrxndu/kAunC8dbBOb3KcrTqS3+Df5ipYXBJ2pk+yxNOrJut6z55Xpx2Xc1sAZ4daJ893L0HyCszkw1/i6Nil0b65Y4905VmNiAe+8qKcLfANR7BN8sbUx/cQI3YIOErvTC1yStWiEP4hxd/c9lMazT9Z/m5q0ghxPNPX05zrH8npZpv8QR7YF1Bec752jgrPC/w7oDOI6Y/21rLbhln6LeXypxJfXiM2F8WWTyDTxcwlYeHeFT1/xS/wZVfQlGjiPcr4sLxyF4nS3Sq4+iBWh+HbzYLqb9P7QphZcfA62FXf4JenowXxVXMkRlU1KynoeDv++gL6z8y1/a4i/KonWpqQ27Xrw95AEBPmIy38supN2mJiJeNj4aZGcW1Az2Yr/Hy/FYGX0cZNGZEpxGOJFGEW2tDeP/zqSmBUiI8erK9h04/asj/+jzfge5v84Gn+EP2/e2YBe31skybUTl5gDT43FgV+VMLMAuC/dYi/Z8EOzttwvlUiuGAzyws4tJ7iTTvFH+BXYZ23EHslShh5vdch4+itFPwNuDVtJmJXVJq5vs7RmTXEjlsaZPeDtXgsfNzzUXPl3HzTBx9iUYYdb0qDbjJ38e2UbFhk7km7t/Rjm5UO15WzPICn/vJgWTRbdN0DZ9u3zAE7DbquLhLgpOaeaNMzMvBAM1waa/M8rDqn7swPjrwmZj4oaPw8vA1sjT8Vmq+E88TcEamRee3H+x1T3SktX4xd1tPeU0XHahpYlTunkmbA795PO+nA9PxJxEKk/XWvo+ChXB0wPZt6VdJoEgEPBLyPp8zmqLZibmbw5qPtcjYfSuvmmz5YDfjJv3OAQJn6Br9y/T0tEqe0MAO+7OUYuwTNp0wPbo2w0XeCFMmDUz9pdxCnkb9LIF4nUfzdmHlfgkzl4K25uG3SwMaEbR7VpFz4pq9c/Uvi6IBYBJhXH80wQwY+TAY6bEK0a41XchDETxSDnlilC+/HCQIflFcr/jjamVdN8yxZ9zg4PKkN8/R+UI/eJmGdL0VXKHd++fkoe94Qsc6gtfwPMqhQIf9QO1y02sxqBg1jo0Pj8JmOWw3+75tOSrId+W6j5gLx3QFtDrEAmQkKT9b/21TONuSDDo7u8ODFDBHtr09goEbPVW6zaQMSsx0/M65AH3c/iVZvycTf5Glrg2at2IC+5RQ8yIpgt8WF6VErJt8B2/Ja2rlqWJ4MpDQJ4jQN41s7YlPY/9EE9uvM/ND8lx/lgl72gV+7ZJK4HYdnBpyZRrFXh1wnwS0QO1WSEBut9qQuvLewOfhFr+TzTIf3FXj2wQryARzFMrF3lWYO2ODR1Ba/6jhygT9U2N3xcDU5dia3GOxlO8E32YGGFYrdzDNvKPfhmxi7x3MqurVyyB386k9t5nC5wNmTmZ922zROB75Yi9rNvMbB+3anX70IPnHokSrAH0DrJLOuG4gtPxT4qaXknBempgBR9rF9q0A71eN+Lc2sKNvfl6KDndR9ml5vwPDfFYsDqblhbAcYLDP2hunXJvm/HkFppc/WwSFchsiqkUyr5w2elV84aDkRzh88KJ+5A9GbxufakSML0IcCe2Km7/7U7XORXVT/da8+thPmZ/AfKKJTsNYOBOoIRWz4y0sBrTff6nAhjei0MnkKoDvbiGftrnvDoO/BN/sU+O9go307gk2vA/BlY3ohgbbuBhF6V3hGjQ2jh8tQ23N1tEgAMbLC1oKBR1512UflBCvp45g65IzdbgLfAtxtZgwtjpnrdzQ99sYz7Gti9mgv+8QiNNuIKMYYQiux5V7pf+DPmnvbAwf33Y3Z8UHB+re74NEU2V8fGPx8B/5g91KQXR16Ih8fdyzQWo96AbLLWwZRqogrqcF+HXSumOnbvKUM2Dy3ZMwZJzlXBeXDw8yHKi11Jfb8yYFTsYN21Dm/9LKujNYepFsWpacmgqtIfWa2jjNOBgbsRAw7OZ1oCng/d7bYBPE9VB7m6AHf1ZywXKjozuDDEJ3KZ7XjE44wp/n2UGkSU8ZfPUxYO3hPjnBK1mABTVSWLH4Cr24yo2EHO4b1rsAnD5WZDBrEGNbnQZ7buAk9qVyyKyd1qEdg612zyNzcbyabPOxSMoBme94SRvUrByap1sHNmOwaLktYk2O1ShvY+dJQcm8s+xOPeJOf3p8s386ZM5hzWlS7ihKLO/DMe1JwolC2MNcHDUouKvKfmWNqOvSIHRklFn/1t1mwzfl//Vlwonb4dHTegbuTe6s1p473U51Ah52uj8pCIV3B5hH5gLjqYYeYmWjwXU09FRmZgOgsfnsbHCj1N7mFCRliRIPkb2YQ5+o7QRjWYj7lq2/mWdvAJ5/ACs/aZjZzSZZEc4lH9YZHw1nyUjrzpYG41oxxUjrAkbvgDj55YpMumo+rh4W6Zo6OaiYvsA9esXKQwA0y4g9cSOAX+R9Hib0DazgDx9/Snb8BfXRpmW3u29J8Imkenp9peLbbIkYtIBQNFMbjYwV/uQOeejQm58zuPnnYWDmLX7k9Kw7tvA3Ah7vZAjHokTnzEfaZnWuAdeHZebRf8v/52lLMbgm6WKDGPjjAWTtswR6z4Pt/1oWp++JZOXR+Q8vLwdXw/nIswQe88tlMf/5EIEtp/oR99SEGuYe1OTDeXZiDKA3wALrW8OmSmzp71jgUfr8U50W5fJOG3iGzu1H1oMPCeEwsnbMCuGgiGTBwqWz++l1uxeO0Cecz7KMH2PQgd/Gb6RkHnGsrsf3IGSqrYGub7HWG9g6d4qgNlTT1pNJoQyrfVBHfc4fAfouLo2v63MRVA18607C2ztK/zgHK8XxXNhpS0z9qp0Zq2SfQfUHm+oXamZ6CZiZA9wY/d5MKKQlFQ2NJYF3V1xbE6tPWqntgBtCeVXS21cr3rPch5s0eMHLUsr9aTla5ym6QPiSRtoHrvFKDxfEYvqmZFYAYceUFYukZMw7BeT7xQu0bF4NPIt91EV+wZc+gIWdgmQu29+7RkY9UoEpOX04Sdd/t+FcntZfW+7PUc5brGVehvWIeH3MdS+481hzhCJghyUScN5EGuweNXuAbE7NmhZrzQQ8M6QjYJ5Xhw8O7DPSVPTDGNySEGEL9vhnRa7bOpXYQJkhdymEJE41xxZtnw+HZGWY0GjYMGDCbStBjEmKf/5mskgJ3TpWFT42pyYnQtWWqa/WcUApWbnpCWYuVBN2QgEPjSL3qAo7g92CPdLl0Yogl6rfmjdu4Irvkma0qEBP+AV3ymdhkAF8p6wh914M+tAwvYiD7xG4uB+sG+x72I9gLHpY3HPABvv3n0S1NftrrfnnEBVlKPdjHVffEMmcoe1sOgUOovycrwNhETnzlXul4YWbmgI4PKwVJbO5qGueGm3B7U1bngl79znr/W2iwnbV54mIu5Wr6RC6vs+WZW7crKxDoEvQU/+mvFVRu0KzDs6bJE3OSYK4umY0CaubrARNgwS1mZiRD/EwgRkuxpbVA/6s5xtcGKXEAH4/HwDJ9lP7vPIpzLOQN+LCrON/hSd8S+r+a4NN2xLnpiZc8gJWE5MguXYjtO+VKtzM9k5NsJXYuuGAhSoDLc9gzG2GsIZLpwcL3SqjXGs4kVIDXfkx6ZEnd2SIqVwqq3vR2lqPdJaB/lZ79OpwnsKuATzEwOVtYiMuk6K4C+BdiP/C/BEb8veN/Az8c5w6AqTWHyf/N5bywiYTUTi7w53nFeNrorqMFfBexjKZn5G/uHGWXZKdX0DMm7ydIVg7MomzK8ZrC96jQeQV9H/yeCxQdbna+D/99kdNu3+y617koBYrjYuf3dYASU3dQibPDd+hNfGyHo5uYnHeC7a6Db5QZzYMnXOKBb5JgC++mUtgDWgXXpZ1wgQt1l5y8pUXiHW20SJ3ZKri9aqVpUgx2iuJYoX8bWO8IgvwPC+O51iRMJuBqJGVbSIZ35BP8eiQoihKm7gnnS625Rd1hrUMcs2BwmkAOHMFOnEqPMHsEX3vIB/7ay2dTc5EN+EqR/pQO6vJhv2Tg14HzjzlE8BoYQQbkLoP4buqvUioJRt0e4n+awfcrLduFfVumIk54/1t3/wG8/JHZODdzYMjKXzlLZibfmvfZU4COyh2c5JaqctAAVKhLNaqcAzlTBtwLDEjG85pZKCI2W+hOa2A4G/znZ8PZPXHPHmPykwtCmHNb24KDzta5dNUr92AU4fYHtMxi6oOwG8fAOCiztJkrW8hePUyt338zuUBzBKATBPxuy+5Y4O3bATgu7B4VcF0d2M+caRPzPk2fIha+X9LQ/qY7/JdX2djyIB3ll6YWuuhIq9EHsJ/HmeU0CJ5XmA6W5ablwyp2zFOgPXiAJTd3972mDc0esIc/slF/ZE/4+Tu9B8aKFALNMyw/Jq/xf78L4UBPNbBaE4K/4arLTtvQ5GFUQkKkjRmbVFAX/INZiyYmJ9HZluYOAxj8moyaA8PkDVtmGZp8AhRxwbEszs/ffBDTrzK/vXijaCjy0gL8NvhnhYaL0miTUTSa83bYKzYGxSN4bGrMypzLjEcY2Gl7AO0TgpT5z+/w7ppr5dJgSYnwcFbIaxp0ltwh4JvXXfaN1BGvKsu+wjfB9UpOgnk3oUFvo69NbjRPFHhgj08esEtZoBUP6AT7kRENeljHZT0gSth8ATBxsDC9VLxv+byaHjSnVsdHNpK/fl9yp06m3yFweZEwjDJxdRg/23iCNQy6X/ZJQ4naQDEy6iqzz49s8o/JTj6IYzsQG1BjeTZ53iBmo9/zxwqeg07kCZrN9AB96S+Bx6VoinkD3zmupk7TosvB9xfMmS1g/A1e/XsyKlnZ/EJt3f0343OzKPH4L6edaXi/0mb5beSa+42FktolV9CvP9kE6woa9KWJUlbC/idWsgKr2rrg9nmtWbwDOzB+IRZ95ykmv0Vol2JXrvkuudNwXvG6d9qCPOXQRerj3ckpBm13fpqZ1kAODCxxPNgyAr/+qkEYcpNPO31d2iJxWUB+eJTB7/rtDzHIKcY88JhacQHcixoEmop3x3qHLlXxbwWufzAeDwlVH3Scu1bMdyY84Hw9tzu5oUz5fNy++s7JbLA93vMA+JnUqw8xfi6F7qxKxwkwUdVCdAF9tdBpNn0jI4zmj3zyP82cAhNHc90dyKRBB+CbAG+am77hVkfqAY8QczZ0/MvTi0SoNs30bwPy8JELL+S7YGPOmiB2fibWfGiGGOIHf1LTN8rUC5nZSJFv+lET4L0ZdMhSM+0pc5/HNejqLif2sBHjeSOZnVfcf/kohtdmNfOpm2CuxLgw0/GL9xKUEj5zB5cZsA7R+icJlrgON6Z3Kgg71IPuB79kPQjtSEbJFTThWnJVwR7OGMQ7xWfDpD3ZZa98gJ8avlFWcFGBPSursdTzfcWOl4Kuj6tx/iTTABp3Lnm4xVWQbHhIMhEBcSHi5yspWKEP1AWRvts/k8n0++2MrTvNqt0kwj5w0Oss5ZtGOGwCvgFdoJXGJxLGB2CxQ+mylVjkBHrnkk+xqVEBB753a9EhtdPwe7Fvevsav1i6folDjVJeOikbHvXIM7PHjC9sBvTS5vPR2diSAw/rs51P848a8YmzOCca/E+4LEbn1VZ2MT1zqyDOGvCt8GcMn7YMbPLJxnmfiO2PmW8INgG2Bc+08z3Yo25jc1PP/Ppebsua31lVnC3Xg0NERYNN4lgeAXznoZdIiz2Sj9upLEih+i/Q/MkdF5lj+ve0oHtKYer9QasVeK20nppCWeBLOOwjJw+8K+jSV/8ozT7ePYi1o0KmZ/zeyR2+EPTvwQUCDTEPCZK5nPhQFmpThV0Fvsz0Z8vZ1JneHanZx0kR97Wz8OY3b2i7y818uGD5oJH/A8r2lfdlagCBR3GchNeVUfktRWb/5lrpwVMTuiZhaadcksxVvhrAZ7k6IZG56+JZ4hIrzbc3HOLPPJCxCsqlonrIOTnkLolB+xaM4RfbXOgY2Cy42awHHd6r4fDcbvDgoUp3P8DdoKDnoplkoOz4E/yKI5n6ycFmExGLpo/HlrMVeCjKQ1ODhSwR/p4LDIKb/jsQX8buNe9magvzu+ZFBsOF0wG+3/aSW4+LmP5dhOnIAAEms4O1HO0Fa8WwuB0gnn2DnWyIhc8UoQP465vROlgHS9WjSLlnV4bxj6TyR6D9390o2Zmck26uqKmPhHhI+WzspwX7YaamkwaPfLxuaquLwS+gStgEeIQo54bAz9AcxR37naUQu8qx7pyafK0tODp7JwR/kP/L39iDZrPAf/ZtRM7Y6SLgrITv/LO59y9NdRDPrMrVUcq7hwz5MwnlT8v5k0S6YBa+ZmaczMBvNeJnxq4PPJ29Gs0c+M0Bjfas3O7vXFSF6CAK4iehKupx+0lD9FHbsZUgv893oC/Z7RvT+FBbbM2tbQ6eJZKO0YNzcgR/wSjqW36+lzZ22P9j6uy6VNWVtv2X+JAe08OJEhAlNCEfkDMgjklDQFppRX79W3Ft+3kP1hh7r7mmSkiqrjup3BWpi1r1XSH5hFjegYZ1sEXeNbcOsMq1YYqxPf+gwzJXow9ajH/n+wZygwe6y/QywOl5BNZAmJ7HxqE6jsp8m57FYmGNUR1A1gJUkEW/KY0X0uhjc3cBi8Si7P98Ks4hvKpgiUrKRW6b3vP6woTpq4u/lLkbEmYLLvhQG4bR8Tc824VF008N0hc0qEO53Kiu7YFZJpilH7C+ZDY0XmL7n7U99SX9rTELCZc56bclZgp0KHD9ipeUE+PbcAfNH9BwISRsQ+OZSCkeQHNdlCONn9yNO9IikWyNp/zJKe2jK011W1RrifIexY3QY/Z/XsGRRKgE7WX2j45nGvvl8G+tvrZlguIuH4yHIjwH0z7E+rnS04GE0la9vSmHg5tY5VqO2QpMrGWUQVwhRRrGuOlxxAZ0FRprydr3+3rdlWWrPgEXJGIkXeL8sypm9mnUUTA5UlO7ZnwzhbTPnOCaLQhi9TXnE+gXPpX91jut/aJ4CQIY8XxPvnNHHaS1hRCCy9rVb+3g0H0LOUia+2abdGf6PSBZWluHWwvLLRk1+3gj2DY5Ped72Wd2WUy7BpGnKFRORLmqERNzpxhTNQjUnkrQh0KYOwXcymEdZ8N7r/J2BxYSFYxC41zucmB3EkAetpYTHgnEiqXFDokhj5xKx0NnYD2YQ3094oybuyQ2YYkzX5idWYoSAvr4lgNrwqdf8Z4/qF3eq8h/x95DTuOJQKBR1rSykd+SroQYXN5F+Mc7OdvV1Fxga7vioZ3zUH1mVH7C55j+lnbNp5lZimfDxqqB64FHWhkukoftvR4WLqhsmYjfz2XXGl1BK7ig16/S6DOx7Opg8mEO55kzwafitATIzLoDvK/GLQeMYQ1tsnGy8mD6zNiUmL65kG8+Ti57SNovuG/beoCsG6o5cw6b3/cVgV4ayIpDYPLi5Wdj+oTZRNi7894/ghYF5gbtu49NH4xHJW6PpPPRufOXzFk+WUda2S8wT+2xDkEXmTp82mpe+CdlB08s9NsrOCfOH5sMfCMgzkG+AD02JedCfZ0cDjo/fqqCeJCDH3yE2GZ6sO3joaKqlF9bXbqYQe4vqRl7u/HOVPV4rz9B+2evejeKnmr3638IOXH6JqCXWCfh+Tx9XDlihX/MOf5peDucXOnmnMN7efUo+ji6U8cCfWBc+jDHQRO9fCuPTZQ8arF5pIGpfXx5S9ylMP6H81unHHPIMWSIV+LGNnOWXgjcS2ATZk0pGwGN3CkxnqGmVx0w/9Qwfa8KFEOMAf2IH01kenf15h4pvDf+TAX5Nner6318F1F8If0v24yg3fpkt2V5YFdNxLHpa3WGnAnr/Q7/XBJEvgnozXNo9qchw2gU1sMMrOaneYETtqLceBIKCvE5vG2Ac76OjoxL3l4qCNZAtW+9zE1fHBLe7HM4f7381fYNaF52P3/NGTH7s4ZHremagJID9ngmnPyY+EmG+ZoGU9R0xr81eNbG269oTb+gUDLyQVwyJ4Ht4p68z2G/anOXXBuvpwXXkLeNbwq1kmsNWhFyXgTafSKC4CRQRFnqJC3pH+3+WVtxTIDpYL7Spss8mGP3tAAOGfhBrW1KAtO/HvfHVb3vBcQcTV7dBzYwjW6+thDZ24mJaYbvJCYGsYiTnKGL4KY2CA2S+oKF00IFAu4mwB/4Crx/SgoOGunfIxninwTpDn7bmBRsbcZ3/+Wbo4atxZ2Nw514R1HmnhzyAIa2YD4/KeNX0M9WI5Tx/hvq4AFKkox11343CDtNgDcw57+ScB4ZRGuyV1Metvvz4AV5rzZmfy+z1Xsfmyg27are07RXhLHYZU7yNHsKZeHPxJwPi8ejCiGnIgJIhcxZdZmEyDVnyKbHyznAITwjhvgz4FF9niD/ZQP5hNjl5zBKhLX/+67bo3HsH2K8m4P+KSL/M3MgZThb0AiSwxwlslCTdEHfjBqziOwgR7AqIBO1/7o83xLWI3KOYB1ZODB3SBOLd1WBAdDlUjLbygv/nb9O+FUbtr1R0MgQJxCwvumLhZTx2BTTjgZ2UA3tDZgONJwMID97fLftGZAS5r7pU+hB7oRcgSIZyS9gmzTZq0tC5UYU2XJm03sta1xMB9GpoO6nm3JRdHK0lQnp4OfNYgOkfQSxekBVXehAruWDBzYyNflU62PNkkfKPGb6VSWjNveVP2BOrRC3H9VzJgmwjjl3+t0XLWJSO9tvvhqNm1mij03fJbtB8jO3QC9yfMoH4A/EFtBYO8hbS248ad32hwgsYF0UpSVj6hIHD7EldUzfXjqcwqx33h7I88IHj5ORvPsqZSfHO3IYA9NLx+irlLbXcghcHrQFzFmIqIomQcuaIlkpJd+N7Rv/rgj4tQLd1RPT02MPJDLoJV9bH+L++7v2kONFwqX47w5KBvMU7UqXJJCrb02fAMNxU+gXqgDTksUPEto6H1qCBeQg0NqlMN6i+nYe1Fo60yg7yEcdjmEOgT6eCsGW932Hr8pGNwY5AHhzd+4SN/3vHuOFFcHrjsbJsjvghuUc8rLqMS+/tgj4FJ5vc2e72fi/XJkd34CPLwIlDoRAG49TLBg54hVL3t/eDLCDebVXVou5FftEeMez6fttLuqs+lAbPgplqcxYMu9KqQYtRzzIb5AC0Zr1dqkEoXTAzJxd0lU5pbNAzuVRHT6WkxWf6t323YPGlcCE2Jm+geSybJB7s78FLPuT99laQ8zhKLPk1zxQG8N34FJyOdamDrRv7izSU2NJ0LU2wkG7B+76gFVRmr4QhKFPYLGj5OU7zldl1w6gwQceyA8qAhvGwJxhB4mQAROaSieGZyDkzOU9pyriVAOntj3uVAZz6Nv07ZAO5H7612XutJej78HvWWAc18pmG2Lzd4xKsNjOpLdzZnFkxoO5LXAbEDfiElj6u+r0B0TqDQ//2PWKKbDAnq3ZRlmYAX8dIP8mjdXm+ahHHsYXU4tGrMAxXnglI+txRe/nGs4Qw8/BlJ3zLYS15Gr8xzkw1VlLnq3mPIzcz0F7hPjY0UKnRARXyNdYdbJSZr+g8we+Ep0Ggd102gN2tkCnfSrk79JwYqdff+zbkvRGa3LI9cFG7P/dSTSVJTwLrHs3RWRpBu/jaEuX2m1XoQnBurif7MujYdJvOPcSza6JhRzW+UGW32wctl9U3J4wj6+wxjdJ8Xt/2XjT9aa/IEjVhTryJw1hbBz7CZHeycXWp73OSnawkrU9JINsG1OvM/pZtdcBCZJHZpPPavXnpjs8mlUeTy7OsPZ7oJZYBRAfo9765Q0bNCkjt6bAtzOKXxqpDiC27oNr1pEYeDSlqA2qSI3G9zG37OHVizxSOt/NSeNqizC+5kHLYSyOUrSftSX3op8q1Xur8dt+n6dg0D+CEkmY/gLp88FDvFSFjHk/8RwRZvYc+BhfQFew/LXW5S0ZyKXet31e/Fv4qHrR65jRv54QU8YL7jbW8p2tMXB3YOrg/1fTfrNw7/U0wh8y8h957yEOOq8K5lMa8rBhZM4K/gG/3VX942lqq5Sp3d/HS1Jo2/SyMr1Y5MoziFMuhvhX92oq1x5iONrXiEgl1LvexuLAgKxAh4xPoCFbO83/eNiF9+/+u59WckgEB8b5e2cOrs5FZifrYVMHsYZ1aO75fjccm0z2YfxR0xB9M35ZMXwXaGgfNMsNC/Kux+5qBPOT6qX+mu8S4knFp7EZTN+brem/CKwMccWVsi6AwdwJck9/raneNyK5mv27ao8Papx8wf8Bu8Rlvpou2H/vwBwfmcBBHS6/fTmViCdgPqtxCUlCfjCefSbW0qB8QJ7LswFyoJlTDtlRFxsfkAzmU3i0mVULvKvQXw/U14YgjrGLPqiNwiZsQCtCzFnJHlj84//Y5vak1uWRBFuW7HVVjnLAoMcE1xdpNQ5gS/vqg4VMjZlXNvkc1IMdlzbaZdbhAbEDG61BkabZiIvKfI5o96CN7xB3jpUd//rPVzr+AQbHjR3Ymat73s+zsgiCdQvzUM2l1hXMK7PXukui3gEmuNedkhiCTGmD/uEXqx62uhaor6jxREJfuZ4cyO0r5N1ZjL91RMc0WC4NC+50kKvZYyrt5KlWiFu9/Qkp/AFxG1WgjY9WHEEcNXk2gRgZAbt85cPEcShNDBAc/iZHfnsOAAIKsuRFdoVcuMnD5te3x+hQ0LQzGXrvvNtmR4sUymX3o6uArZck1ygF1pxBDzrwLo7w7/7X10wXxDq4fJW4HHElxGZlATqUDnarwU6aAklgJLOX/XsvgBemn6i8SHv6Ab1fpjQ+5M72nll6n7Gtj4s4zYfFrLtW8b8OpeUjLyBGG9ZByOVFnGPQf6baBf6unezjB++3CXU8pkYMUd//rRWBd1Wmv14E3PjOTbRH3TnsPV4ktgh0mHPQPejwKCHuJXs8Q0IrarGVxLJBx2NJrd7BoX1MhrbMVvWBgeuAS9YktENl2b8+0tSdPuSgbHiWp3LUJV8layAmCt0sqieWqQlI8y1wFkkamI9Cywo7/5zM9SV1fZoWbdxE03IepyURsXVyLvCeIGeH7Hpc9SaN3nw4txBvaVJMI3WI0aVDwmJNWQv8ctuYeh6q5Q/lby++8uWRa/qV0khmp+cN8py5c0eesNZpGs4xW+GNOH+8bEQsX4FXn9t3TpFHJ55N/qDBHDdf8z4FfSZDtec9OmXmvBiZu7axB+/tRw2HDXYvd+NpAfrgCfGrStbEI8KyK+pvcD73TYcuHMWfzYp2yla4hnf81ua4MPszk2u8wXFxMecZIgUIa9i/axKYXmbyAnpog5Hpr+EnVQhzJ1AfkjLIq+rK0L9FosQuXbmCHjpRGhuv91B0UtBg8UGbv/exLzUzNemwzgOFFZBE5ZDT0QZ+itoUuNQ5B6h93QO2TT065HidmbW7nixV5AHMz3BxqsB6Emb7ytZH4EYv72R57siH8YqDuPJmmwfrJ+PN9VH2pj7KuwLfZey5vVQdf1Q9TytmI9DiYy7+gJbYJpmYD0nUnlKBBxr5exGqi7KWELSxuV+4AV16BIYEttAwd/FROd57HyCnnSTAOzEw9R04/wjPaFGLV6D3htzUmrLtDXRVb2oNINczyANZw+KyduaWCJiTobWQvnnQLr41TEeQV+LKtBsN8Ee+xi7t8fssu+UF3mVcy0Ywh3ctpEOU0LFcpLi5xrcxgVxOxtj02PbUc8t474GGZKBveojMc/rqJ9h7MhmmjambN/XwnJXX1PTcGP9uIFY8f+vMLRvG3HjZ6aFi3E0DL6A9W6oBlxC/2rpLnnVk/ENm2Yw9aMXpgQPUySLuKbw744sFDAaazv7Ox5ZRqk4nt9mkCOsz9+18t33PwzhxAy8Pbcv0RDxT3df233sCegU091Kv+gf3/9unsRa3CskIeeOUQy4463aF9VOanunE7h/nYGvTfvrO+thNWP/EyBdKLEVD/ffZ6Obcv+JjjyOZY65S0FF9HuAZtNOD260P79+mYloT++AmgtknO3sAz39CvPDOIdYNYlaC+F4E21MpVCb4BDzqS9MLCbv6VcP7ZrY8AjXkykNuAXtGfpkAN2cWSvnABekYfF9sMa5OlQ3qAp4nd+Lj6xw9kvbRnWA84qimh+vRNvWfEtYrGs4RCejzdjc1fTwg/9dL3f33qLk8NbCesMMPsO519bUNMSLAFMuxijgX+7/AKigA1v7hVB54hAYStatgigIHvurlErFMsA6Mni6qfvlQlvle4Fn22zPo2qx8EsPLw2BHIFZgl5h63RmUqvES+slHiE26fMoOT1UHuYdld9l7P5VAU+KY+9v27nUehnTEO3STuk1g/gPVTwzv5ZyJw7tuGfgHw/pq47Lg+8rm+1roloet1wxyEcG8YtMze/Un48Nu6g4S63GViKw1bUN4Xx+p8W9zfZJT+RQMDZz1dzySTHX9s+6CaxKpd/0GMvMM1jYqLbNXlcC62uIzak+w5JKS8Qr0wRG4HpUaP5W5jxC0UcORY+7VnnvmnRx7rTqI/wyXxjMAj/pbUBPr9VgF3q4W7bvmdgQRCRognpnGI+vin6xHUR5uQWOqT2ITpDpQ5Wjya0dfsh5fCQX+79A9X7mvwuUCOtznSJ4oQ6Y36QHW2U7sId0VPKbhREoIK2+eTxkOWafvzJZp3qMCuPqUMWxJPf0QeM6ET6ssgkfS9df/5gB6gnagEBPDk7n5Ocz3un+d2+4yNn2RPZ7SkFnEsWwlDg6N4s9fxnZlWVrWgkWMGsf7rr7+3AWD/ED9I3DrQcE6Mv2RqPGLctqs+pqzyjHn5/+utWML0nOeBHNeWd7urBNXIL3haEpftSaCLUnwe+abJXviE9sHXrO/qgh/JV/bbyWAH3gbYwstoL++6g4d8wJplRsvEH2C8RzV0N6VSyJCyWT4rLLVXtkYYkNrxnwHMXsph5ZUwW8P6y/CvLEUkH/3HLR0C8+n57MAHjBeY5ocX9oOAd9YyPT624kek9qaItNPqwpleXTwDwMdkJsek0PsUFdnoBkKGvIMd74lAvSuM6cScisPA5uxizmPXenudged9wTdlnDG2TlUOB85Onemrq6/k1XdOCVJzfGeDpADhP5JoomWmsiyJzF73ryUxXFWxOaO6J2v6l0HC3re5Kr4UA8cq0LuQRemZm6wCIsq4LQCPQvzwdzZ9IBz2HkP39UhH+YRPtkvb8JL0mkHdMB/rBPqSDmoBBb/AO3dnaPp7b8B8/RhyxE7JubVI/ogDull+M852gHkr1f/Xip4W6Zse6Xa6FJ7BEYPjit5Ht045MVk02AL+fzgnuy/q9oT/eoN4jwW/DR7SfK9H5UwGFfZ20e212kFS0IUzWrGp478sCzgd4eqqML2yYKbe3SWU86AIV11qwqdSgetym53pVhmiFl5PhCahMAS4R+rXEEl9cC+e//tt7wCj5es4zgfLLcJtmkT8Rtn5o7q/OAa8lPo7RpLHnE4g0Bo9zAvZN6BVrcmU747iAKPCQI2Ctu4FqUF68TUp32QERluShqneZ+bR6AhORvJwgsfnxm/ZbY8JqO6VlSPEPOQ6L1LtT849TiVMC9YOYA+0b1bjbCW/vMY3L00cG568rSQo/Vn5QTeGfmoGrbfkrH3vk1ai94FRv0hRfudFdlKevxNO/+mLNBj1rQhgZ5owM143bJ+Oyr3YOVr48HYw/qYByZiLQXZVU62St5mJ5d/sL3xGUKyBjanVP+844Z49djKHC5iCty4OVrtJYfFXwOXnPvtB+RgmIfkWwWglOwD5L+phLyeA+f5jcuWWmfPfHezzr3yz0gXScG/4R0swKzfKQJdEC5vPtxJq4WYtnXYgBCweEnsVx1WK0fyzS1+bHo1GO8X4NAO5nAmqMyAHUPmzObOg87DZIX13aqxHTPrf3HFjV0MzMv28qqc9j0PH01oD3XX9ufQiyobuZK2Hsz9HMbQzSBl5DZCMH86UJ3mruMATMsqt03L4u8jKdCR9vYD5oU4a75jTNKcEx/Go/hv/7h3Meig/31XUK8oyiiwnwtxZ43NnaE86fFXZbWfFdvGCayBc8g/QDP7phaFWtkjZROFP2vz0fQsmgwHtxAjndzROEfxXQY84dYSK4SX0n73er5ZwLk9xMghD0EDduiHh/pTiTitLPuCA3Uj/WLiHT6tegbJP3Nk/EU1evnXrPEMscNhCG3g2YzPfZnsmblX6vBA+6bXJ1n1b9zAnelt1z6B8S3BG8f03CS9vZw7HUDsdSUnDPMpBY2wYuPfJvC+2QFz7eZjZpNron3QVLyFv+vCPDpiyi94nPKKvvwwMF3Je31V1YpsGqop3auL6Y4OrPIJMXyhw2M5rdycm9/Pvc6IFQentdW5sB75iH3GcEe/5hAHuEpAv5Sw8InxM3BJnNvJFdjiSPe+6SVLfnneBr3jKKsO+4cap88mYKbnvZVYQPpDfKddO5UWfA4ASFUwx+Qc4Jy5hHeJrWyjeu0Zn29Yf3nD1A9j/KOCuH9mJDNnLtzSb+1wzNl0rM2uo+4X0AbHGmIdZPZKcHKhLAF2jmUVzub+zwSf2dNgmiumL/CcRwjKZQNjXa6akdCTZ3axEgf0oti2mfF44vpRAQv877vK3J6KplCmUiIXXLeMT3kN8ap2YY0LZWKMnfcyIeHk8XAydRH3894HIlKI9sGzdrZupdWV7gk+64uLI90CrfRHR7rJXk+Z8+sPEIGOPFS93QOr3s6UEBoFMDcxrBd/SVG7Ad38JBa5YI1NLf4Rxp/+51eJuOk2cRb8WK3/rtJ4+AsPs2C54DV4Eqe8C4pzjOJ3rYhH7Tap9+1P3WOPI58TLX3jxSX7x4YM2w11vA0FfZcP7dHsr8nisFD49U04TXn4eALnCZHP5j4xZ265pMHWA52ciH7JStsvYczf9YcZvIf/NA9oChVaNuUtp4X6r3dzgF4eoIlWG3iWBNgaQ4Q1750oi5S4wCkMsZ0My83csWuYl9fW5qkoaJnChyx5cWrK3/2/ODCorAdlNw6JAbFgHDX739l0D5+xlh3o7QgJuiabhGOsgFvgxU6U9SsryAe25TOh+FuNcoD8mIGmuJZfs/ELLpmtTkTY73M94EdyAw33KXX8afbAUuFVoLuqxMmuoCmvaRA8JCgbbPsT6IsDcEiUrfx47okLSwrmfxzzII5V2IKMT6yj5X2rInsoKku+l5p17Tsv28AZM8w3YJobvB/TS5ltQJN5wARO2cUTtbayocCGw7w26J+TF+3EInJTbGv645T5MOW53QaQ+TocEFPfbfyjtIgQTUVmejW9n2ulI/5MA2BJ7R+MX14zWF7JYp+F5pwI/0Ae/l9NpyzhfUAswCgbW6vq8CdBmScDtnCkAuMLBax7wRzTsp9v1Amcc3hxVP97Z0SfC3nine9yoTaS4Ue1xgG2JtG4U3jexx952Dxyoa716O9La/o0vZ0r9+LwkGOIXdG555DXZJiK8t7oSTf9clKd8eefKei2B/2/2jmn0gTyj8bGCw5y/eVk8asQ3K11nOR7vMeG/Zg+NjaepJBpZfq2uuYMepasYHdgLoTXv4+c++RkedOZAVcz7QnqHySsncye3vWHR9BIXVJonjO0MJubfkLV644+5GiIKV+5pfbN2HIh2qjeGz8f3IJ2x6/1MHAr54c7sVpHsHiBeQm8vgSmxxpEwlDm89L081uneJK1OxKaORF/QP5zgS+X3E2e0tWHcz9lkF+Bn/DE3PYrt/8+jZdswtXy6oGyEs1M70XgjWRv+oZNC+SIeya2pobklGszV/z3ucO3Yp6LBbkn1L9zoSdZoL1Z17mjYhJMmvL40az+tXT/XXk0aYECt9rLsOnxrh7bHhjENf2nctAyMDdT4JuSdNKclc6gCf2m/72XDfkGp7mll4rNcQPaIOt8r7YlacTc56Bljec/7SeL9t53uWIJOWBRkZ/W+9j0js8hLqAm+mud7MbNQfE3A94IzU8vr1ONQmr/xo09aOk1d0heC/sIsdms4RXiI4zNZql6SFOWh9NwclPjB+NoWKBT20T+/tWB5XlbXmdTkUxUYfoKYNv08MspCH4kd+cA67KX79qDmQMvlVxW5hysHoH0Byyrru0IRzzL5580lB/G4yEZiVshfMOrJLiL0dGKS2XyDMSVjBPTa63NEXBmb86R2D2xtcgHLjNn+/ads0j4sCE2+2YfqbTaCq9xVII2xhx9NKGs4LuvEOstyv0lKSbJBfpuWNvjEGelQy7Vc3sihT/UwECgMVmj/aEa1FTx9gNiawR6+X2f6KN2UQD0sTnv/nikzyBG/33Kr21VDxKed8rl3nRFaGc8lsZjAWIE3sH7mHB/8Sib/dxZuhoFGxb5fhPJU8URzYdtCKzkwlzKBf3tKw1s1sYVIxPkJJL001UU+gia5Yk1r2gXP5I9+maBuT8g/dedGcRPr/rRDifNHu3TPQJ0Qld4JpeEmFPLskAXXRpbwVpvbVh779oDz+j92k2u1CUWzI8c8vkPR3IQUW9XBQ55P8WZji8lRzaz/YjTwDlaGvM1e+C+HYA3MsIQyZnugEswvNOE6VdvpKsKFpr8n++3Zg7anLVEianhsPEh5xx4Vn8CwUfSjvc4+HMlJjby3vRYkUoYnyTMleXtq8JHqpOn0tFV3pHPHIj6aP275lGy1ALieEE2qph+veDI2q9Zb0xBgS+AWWvQS7j3EhmVG6UPD9a3oix8XvabJx5fXcm/CdI/kL9OgJ3AWYdNqXl0zueiYhnofnNvTT7qPYBULy3QWu+95SNjyNwVPGXU95lNPDG0EFeIAE1htOVOgF4D/u540WbmjDzv4bMYeVamJyPw09noEnPHBE2mh/V3PTIP3i0FlkZc/3eG/Ga2qo8f2QpxNGiDOpy+60jZ5317yHpEYA3skqIdIFf5sJZYFVweoILdKsBURlqYs28G+JcJUztO1jrcfmeOnjn3ceXoJaftkdm/fRCsxvZPZ6GeCWhFyP9fidkDoriDHHOqwoNHBNbVoH9yGvs0IB9NEH9SJE1vclj7jZUxaTy7QCse3IbxPbDtPRnREbhKYMQ/2cjftSJXc/Z1tNGJaDTmCLRkqHA2+rnxKod3yBJnA+8vRmqQAy30XFvkg4dbh+7jOB/bz9Tc4QzwBw23Fov+PihwW80g/xWXe+OqE1vb3z1YXvz1eJTZuJNe0m+/6zWzTO+bulB3zpYP+HyIGegCzJskoHVMTxLQqUEp1D1BvXuyfTsZLxvgSz83XorhsleD17KvbUGsGdj39wxxLi3ju4+Y8fg7hzY+0+aeQrw/Ost3xW5XurJVdb5dF3g1/dOU9cep1393JdDpDPGnQSg863+O1KYGoAX2jx/VMG3yFTgk2Bbmc9/3bkqXXNhKWsViGMc4SYTXicD7yqksqIWl4P4GsvxBQvwwHskwbx8QU29JaF//z5O+dNRwe4B+nrJ+m2ZMW4KZvtdoarr4nVMYc1R6stCltP9u8j2SaaHGfPQPIEVAQxHI69jL7ctSunqBkf4RQ+xxc/e2MHfRpmMaQv6L4p7t2z4JWyKdljY8pq89QdpmzfO9P38ztSFP/DXbQiyQl+O20eiHOv9WsSczG3Fcd7HxJMsgdvli4KdssCPKS4eJOZPW9JAuL4ht7pPikQ3TWIKu53pibI8umD3uSsdvPmxl1yznr63pWfJUBTa+pVlm/CYtzUXoDaQzHB1fcLj9wPqvq4yHr1ae8ZzD1p+Vij+LCv/cQWcjWBtR/rV10mIqWEcOxr9TjNP7DDE47/95wH+mMt3h1LhEL1U+8qm2PJr08x2izJ0VfI975jUjSY1fPbDS0/SV4I7aC/GAOEScxEYbWPPfKvR6w1rUNv1221si/q/2AJjh2eTbT9OX6j+/ZeXkEcQkZu6SoxhHBEM+yuqBV6C1fpp+kswl32dBkPiaKeW6wEyCfjEdDOIf0BE+7RmMD4ZRzawEdP77DJEHs+khwptBf5v+lLlYbHgeT0UxIxSnwADmPLkiq38SWk212Dyb0NwZIn7ioLuyYazsydzjNnUsKR1jC/75hL9zSPaQr6z23T/l2kTTB13JA3jVylfQ4pbXnntPi2DeQexlmRMzyXUEnwXMVMJqK193ndLddkgDPTZh+8Nd/yMJrTVj1sZ4a7JeTpXNp8p4h6/t2xMjyMTBOrnAc8ZYzPSOGSDSWYknGAQoii9Zn91xfruCXgqUAC5hGP7hoCORYF9/7sB8ydtrh1D/W2pzLtsS44EAetHQzvv8q1V7PkqN2sydJmaYb+Axhn/3Or/S+AevEEEjoivqy8bS93Q3ax5ITw4J5O1/VwXxKX/FKOLnBS/xqjAekSi/tp8J1d8p27xr566kKFfgHV+u7FntyU/tgDZ0yYGHWLDnn4fa9y7wCjk5S1KJ1iVBvzBgHRkY5534OwG9kg3/FuKqD8xUemY4VtaCIUZMmWg8Ev3qFA/3U0chDgL7r3zQV14EwOrxgzH9QUb9TdgMWgDnFXA735M7aLck16XFGDd3mgM1xM8auJwzu6uEF8BcA30KoBHOP5llarTnd5yPpG43R1d/phG5npz4kov5URnNaPpZavTgtL3UkelZ0tiVsClbjdc3Mjy1BxbEuRP7IkpA3/s+7+NbbuEEa2Q6IeZ5j8W5X97fFVeR+jhHZF8PwT1H+KQC7Jg7WQBDqRB/nhD7DmdTB2r2ewJvPhudOXgY9DnDw+NZW1NMxdKdBR5qh+dJSA6SXew83Arj+4qp/q1zINHhSamioBXgd0Dcc9soA741NfDZSOaT44VM6w1n6lIb/xDQ0LklP2sWP7F7eCjxeJxHdKeQtaSJUyvkBDGZPrukHpoNdfSb53+EOYMFdqxFXMDne6pQXjLgvhHeiZged0zfz2Jrgb4DhoO/bwdP0Hi72lZ5WTDn3M+sglgvir92yuzNuQe0HaddrvmDDRsbuOPnXSN9sjNXDvIrWXunNn0ikZYU5pwMvKlmM2jZw/WMiA+r7iZ0W/AOwVso3TS/2Wr96zXCtuF5LjXCEw+mnq58xuHMK2uWdEUWR/+35wA6aMOC4Jq4bHNytFeN8cH42KmoDbOBH/MR+VgsO7WCzrUg7u9V9uodDOwogzbJ1tZJ9vEI/6S1nky5w9RYpoZE2qKfjoKRt9aTEuZWbvXWOVhiYJQ7/JlzXOMBGO0C+fuWMNNvoLwqC+bliAjrsw3d+23V869E8O8UtfA+G1dGEnQQPwiBWMWWmbm64zC+JGze9YeS2v5OhLD+Vp6a+5qp0DeuSVX221V2eoJ3W2Y9UCbE1zM33mp2S912NT1GMwvB2KuPmiLv6JB7s2JLWfOnKg4byEGPSrc7Ftq/fW8bkBkVv2yUg0Y5eKJx/UqKg1NZcSAFvikU63ogEfDbRQpgy47nxFLAgQolq7wQxjOKlAscuDEMohw7bQZTxwO8ptUC3/7WDmtlmbp5/cVBG5Xm3mDIc9oTNzf9f/btp/FtkL2O6+cMa8jcv7VL4JnqxYpsSkTUxiIgeSXIHnRcJ8T0BNWBiO1LYKAL/J73vs3l6DInY4qeteqaYcGV6TGTzyS3jZeodikLVjzEaz4q0FcoAQ68Vqs/0QHmvPsP2H0mpABOLvQm076vungElfjM13aGlbznz/kdD4uTTb5gXNxksEyP8k0Jf0JH4xG6LXiUbNLwZuWmN7XtL5IdYA21TkoxKp1/S+76G2JriDv4CtotLYfNHfJCQXs7LG3eSp05oFveMaqjjCx40HeKEojpxDD0vXQvV2U8E/JtlUTqAVzWV/3LE6Mz/a7rwLbqvXqWDsRO4/EqVJAilWbU9GiVd9oj4BCvSsIFN+6vVzBWHf6B6GLnv/0d9GA8JcmwhPD+X59Nem0R0NskQLNy9V0MugBmIqK3nso6PIDrIa4vOWhnXjueuWf+cXxuv/Eod2T/68FlJRy4PVwizqxHTrE5/1xoYPqO90tlq53xpYBxWOWYLKUwZ6HtRQbceEZPbGBW02NXhttPk1tPbm8J0y/MlZrs+3vFfVFR8tZfwMvkXnUKYj9p8wJ5dT5DTNWmL84P5BKbjZqduTb9yEtYu1qJ2fR9uqZhY3pNfubU7Ia+etd1wJNRPcZEhfxHaeMNT+5cozdHXZmNjvXI+zOwStMFd2AskvWtDWvXrFMnz2eRRvzIekyyQa6kkw7rlCP33EnWBNZ0tghUGl92ZvruwlxOlTsVTQBEDD+5YeXbD3aTD/2auNJtdnN5FmxJ8z8WdaY4KfqH0MTc9XrCHL5yyFmVGy9ncbsebX8GNunVkNmQl62kQx525J3t1eOse5eHshdoMn2VfTYsb+69YxZ/wtqPGZs2jZi60m0hQXhX2S+ad6amaoK4nm1KDhHARvsqtFluzn+cx1MI7daBYvDGEAcNAN97yLp2IIWCMWghVse66fB7/9AFNtqDdlgFwgVoYE2D9jMJ4pRC3qJdv56BQ4gz01zHwG/Gm4XsCMQK9pxL4k5fwGlM9BDzI2B1x54xcGRpE9AqqiNR+eD7v+8YJRXV9+rrz5oKyRpBgsriBAdkhNxTNFy+fter55a1eWLTNYmank6HNXPba91bFg7a68n1o7zDX6LXn2xAczO0pgYOtNg8gbZ8669b1k99RTVK2HwSPdrJEQvQTr3qOGbh0jY2meVzaydITcaXiok/a9kBxznlqtzY+P1/Mlt9Egc0K5tvJ1gdVciNrxXknt7j4f953QtKbpCv4xQhN7dMH632h4X8oIT1kJ2vqw4tEOsX45GlXpyWXZkzCzbI8WjJJ8SFMQFNd9Y+Ag2DaltOmRM8K02+aIF+cNS846G5Pz7nug1LU6o2kCOm6LN0p5jzKQQuT/jrzjEXTLcwBpiB/tnA9z5Vbwflil+xu+wbTw3JFeYjxVHbV8+bjXczfJ/ClM2/9RsJUw6w8I80Hk5js8l68lB8CiBmadCRIeElxC8laQG5p4v7Bk2vvbZzF7cwtz9rnjzl0OLEaY/qOX9z5q0qUjxZGWi+3krR9L7Xtpq9UBZmdkr7BeLCoIblVrkQfy1+AZ7ZcYjtFXBvPqiZOOi1p147+htiz2fGYF1Zk5sHupMWRhXoSHNvu4p4ngbzArkJeAO/9+dPPFAn4vBjw6RI7H8bHqksF5gkzjwxexoksCiz2+s5QsZ/OEnFdDxzdIW5+aHov6sU6MvUCRInLrCOvdxVo+qNf7heT5DfKvbnPTesM5B4o6Xp1+ZADscwx0FH+F/mnCsTmlVGO0d+fw7JCdtcqjWDyPTyT1uywXiM/VmarlnzFUMe8PLGBo5D/EpQZtdU3vPht5d6R2FN5QFwf8DnapVcFKo9B/88LLjxQUXSaVdzN7wuDi4d8DesHVkyL1VBy1i47c39TdACt2ZAUSVMnwL/+NrTQ6A1mXIhpr+5t2pgCUDeAf0zA2dPn5T/fTJLZdIG1eeqT2CxCVjryTnHrzP/wUty1sCz8JRS2Z0cc89t6wD3f5Wjf2hAlxE7eFQhjAmNU47Q+7xSZyNy+IoepjdwHfl7TjE7j+QOvJHRYQFuV+Y+xcrtYEkZifOee4zL8RzoR8n4xDhojhHYpveCfK9vwK4LtievEnKfh5iDLv2t4Tyu7Hq0cHgO2tDskZ1DL4acrlWAKmA44PiNfR5wcebkm6PeTgMVZB18dqQ/TS84PEAsDeakGf0LQX9h7SX3RmtZMVtTc0fe/b2fciTC2ysXx6DLzL2S1x1Ubo4jA5xLa7urdeDkaIorW5t+nLumABZwcCeBjzjSJR2S5RyZep3bpma8hDl1EFr+NC5wn8NjLsj/dzZqfL5jVps6QMiTJTd1uskCubAD7bPH7mVNHA9yIneYpWfsEFOjmdfw8RShFPSrTfn0qCL8hDXnUdaaGl6dhy1EFH45D/ObsVHz337vkVIGfIHvvFcLh/VcclPnPn2fOzXhQO1lF1+4KB8pP9iywMeccYjzC2M9l8lu257z2111wFLDNuUjsLPVRipgDznM771lXqH2pvZAgvBbWB9/1pF87buUxURFHyNgCpnsddAIHpwD1Wbc+B7aBIcbp9Yxht99oGJuS7ENIS6Y+usuoTFPgtc9tCDvfmOv5P2kQY3eTa+8xuY7ypQlxjgzfQPrr5tnetynhQSdKV/3zoE3QIciy9zdlA7wpMO/IPYuSgBLrTJNOtXnnF/VgJ3SVfeq375re0wd65BHmJ5cOVdhu8vN3UBRWjBvISRPz3pfesyB/8ZJricLbRjtryebf5eWPfI9coy/fxLqyHhNAM/HJ0vpFDQycyTEU5hvzvw+uwE2tH28BvZ55AnlCLPRTzOrNYQHyKi9V23ibrvPbLacKTb3zz5K7l+Fnv7zEoQ4AszUyrGFNyw7Ym1B3U+gSW0J6+CQhN7vXWngihQD39Zic+WIfEL0E3LFMdaoY4KbnlQTxG9s9EkeGo+n6U4F6I+9PJSrDHKIcaC3IW8md9N7NrHlK7cKje7JCHoQ9MqbAdioUlbEEvfAjwIY2IGwUJS28RQAbsEZjd26i92G2Zzr+Kfa6zSJ2pnq2DLeimfjH+/6UzlYVxYaf4b4gYvkXne9l7OHJYNfneKSKAEuttPK3Mtnc0E6PbCuNZ61Fw46kgcepsMNtP/Whdh6PBs/7fCfw2y8cOfPUos/1hnFpyqYTV3QiYotY6LFVLQjNd4QK/Hf2hziSyX49JGNmPF9e0zFsmccb/IuZg3tH5nDP1898QL7Du+hI+EW+ODwTJj833kJqB/BQUO1GWPwkoY5fPUbC/nAAi8F1nz3oXs2bIH4bGrJbI9pTJS1JZmtqyqwGfDEdzLYbd1fHNAeF6z9hRX+BuYRvCnIP6bG1PEgh5qe6fEJj2yjAnnI9zgEPR0rWwWlmN61c6eTHUeZDVqfxhfjeZBZS1TDmIHeDYxnLgNFUrs4h+f5SPp+kYXxHoe4QQ8W3WtW27iHnHCA9TGDRn9USJ5IiLOM2b7pSQM/8X120xGzfkfF6sE7UZfsYO7tIW/wGt5V5uokc5Dps2XqmCP4/pvsp4JFvgV8lwFjfJuzUlAJtvEVhf8dmP9P+GR8cQvINRWw2JvnbdCrX2rEGq+NqStfuCYT7vp7GngTLYKVRDzG8DzVAFqIxw5+zpICt1d96zSrmnGhNfzOpBrbMenn9Qzq9cwhxw7bXH1tc2n/3mtLTT9FhtQedG4HMeQhAwzaZHqeHMxrYIYSuKaK/NM5OtjEUVcRcJwUXNJ865yRPLAXcy0eLlRHrTaAudAntvHKwQwbn/Du3SN+/paoFcajDuJeKSIs8k7BMPJNAu+tstRnPZID8PMMeQfW7fyd2fGuZrF/dFF+Fq3p6T6dQ72XPTCL1p916B1qawq4q0UN2qXpyXtPz9SVXCWFp3LiKC3Kx9F5POC9ftchXoGbP7D1x1IAb814cLGpVzU1J4LkwD67qmjgM8ydrLisrbZKGBaQ+58wLTY5JXeIc1fQBW/eCEy9JvDORbooyVc+qR7Wl7VlifF/BJw4B7YPutvDkfqkoY4h9tvYbo+mF+IZ4dL0eDL9ZvPBG0TR6sTN4L23B1OPkjM8Cv1bL0qlnQALy+u5RzFwyhN4zpztUyJukG9J22jenhG/C/3PK52WQ26XwPeF6Hx4fuuarIGj9MEGhsBmL6beY2BZYPki8UyfPmX7bwawkq+tPEFspj1GQFszxIs+17A2LVvXPQ+Nj9rJDqz3vTfel1fqEA0oGDEW44T6czXYmFoE1NTW3EONia1/4M/2WQG/5//63UxcBAsd5g4Pni6HPw4RM+St+Fp1fsjd9quyZX4eMTDwbPZMHeDCT+r+fdbULyCG9nKQxyYgWePwD/izG2GIJcFhIV18MPtbJefvO1mHqmMbZs0OH9V4psAYwJiEZYsM4pMQ2w9MW+DX24ZrPhluBU4qqQ3PANxPqenhjadaM/ftQ1L3oDXCwAEufVQ8sc+R/97f8IAX3KpP1saByBKau2H9nXB4L/mW0JDA2+TZf/dRphUHf173SM+UQ6ZnDy7ar9PabMTX/KGAe4mr18aab7k7daLQe9AGQWX/3mu74hB0O2THWveGEUraB7bkvs/6y6a0PFNLlZYdrPWQ33mH+6S3nHoN7qk42CdQdJD3V8ZjSkGvyCEO4Tk/8h7iPcQo0J4kFzb6rY8qcHV0VZIHnlP3ZFEQ449O6ybAa3LlrYTVD/FoUtZthZHzU2Y9Xv31KF9f/CjaTBYk5wW6QSz4ynnLKoGzoyNhfervdN/++ixBzJkqmxxhziZmDfNxOuXsz1rbk/HRbusQwfy3U9wpQge0wwPuUqoeRGwl/KYxGWYpumRR1Pj2cOB8tE+iKc9H33h6eYn+PScCnm0PHE1OylqZI5iva1xRa74S1tslQ+YezC0vei8z/poWMv6SxnOSCCTnNOwh5ihRBX/sWtweMJfdVLD7yfE4t+RDcn2g/F0PcLOasV1EYHop4luzu12TYamwLV3FY8/0esqBeU8OqKO+gfmLN6JfjK7s6oEEtUO+1L7cMAeFjPtI7QzbxmEmyJ45LSLP7SZxfs/Nj00k/+ujucbHJJx3xJJeIragsbyAjSiXLuhIZqcQd+DdcFh/yq73JCUF6SGP/3qTkWH54YwfT2ssYW3bLx+7gXw1obz85krxDwBJYSGQRUfIe3a/oc7NwYhXyTCJzNnm/937+WfJEM+kmEy+TQjE5EZADrX5rWbzFwWWV06ycBeJWl8ecq9/IKZT4/f+1g5nzkPJpvjMpwg4ENhkCXFh/MVlxoLtp7lPhh15gFHk5frXM/4Q535+Cph/eY9b49OUCPueUOkIyCwwN2kDz92E9oMHC2i4w+/dQCX6J18xqyx7Vqb/LI2zqscwUsiFvHsrLZjjSH+ZvYaEbXdpSPLcba68uDii3z741zymtPdOpvYC5oap9cdI3rg7rXlg+mzyd5x/nE3dzxDYpVtuaM+fibVZz108NO4/N430CO93gXxjnXs7OOfzx9HxjqA/YGyBXPe4VKztM8rWavBMv5VC2ZdN5SJz/2KqHNLDGLxr2k0vctBt5YPA74cYIWr770o60z/kYTG33dTFlGNYZ5nbHvOe5I1l5/XIdUVNzWJzb0DTJcAFbDebOtVvTPWd9KBjKIf34S3l+uuPHVNXTS9vYKvtOP3nEP7vUY06zyCek771SpFcxT6+lbp/wtqQkOcdyKExaNYV/lvQnOSYQM7PQfvAOzZ3gj6rSHnS7IE6/KZgab55PolAr/X2hhUHr1x5IIq4K2n8DfH2wgfQe+F2ZJZn/F4mCZqnsniAI/+7ifQPDjYLcOVkegFijoFz9L1xgI72fpruk6fczUO1J+/nAl1/2DAb4vmaXMthWSqrhTEigQrJhZh9tZEfRN9+AmMccfT3mnc6Lllg1bs/d+NHxXbbTHUH0ME8x69+OZhnzlyAHn7XH757FHrARZfE9MYpTD2cJLVVPqjz53Fy7L3Qflatvs8hZkG8vksRW6YHEMSJgaM2Ufv4G5bak1n8S4bKU/+dJZzScHs69+SzCrxYWv1vTXvpeOYuVXVGbQX6hYH2GUqmP0oHVflu+wHzmpSd/DDexqVr7rAAh1jkIlcUwbz4SIbEyldiV9Yc1xY+ErYE5h6HEJatwglY5//6PApgxXLonyebfNeoHZmNEPDdyJ0FN6h8KA2Y5SLObHNm+G+l+/6e7+bszFoB8+FQB1gQG1AibDcS8lYmtqIRE05Eu8sc/NPs5e/5Fw2In1ieW1ovn8AHHaUF86WCtXCp3MY2e5DSeNN2Kmos7aZBY/zB2sr0dO7kpRF2S6JXX03KGeRvZs7hlikpIJdF/yDm//Z6vgN/3uvw5pgewca7g7z6A8S63vu3lJaeGCHfM/mjqCprSoBmpueZxr1Eip95zKrosEn3zR0ytlfqf0vieBbMqwHGPgD0bE/O8puXE9S6oAM/Tc8PWkzGB+Gu9tqpXf8KcSRqnPJRj7KrdrdHw2ZUC7OH0R4JzbzcwS5oWF265v7VlGJgLVPbn4d/NknfPoE71hS92eZmav6qsp/aOvKpOQ8pxxjla3lNQ/WgRfaQQt2Mz1ll+sOxi3fW/YOwgw3594cUuuSrP7A9/K4CE8jjwMDop+6913nKuUAFZ+1bLwfJcFsgF3/AGH2Z35HsTZ0EDhJH9jTyUxpsP5pVAhvGP3TfeKDnTgmX15IHlhqzBxYTaDB85Ha8ydf4oYbMrUONzmYeGL/yfvn17y01gbiJnyWXps+32aPhECM06F9z9hXnPB7lsHEkNzX98yoL9X0ejE8DsJpGH+acHWJLVnXZk2q8MB2/PJAT0KFn46PcY/2OG7BOY8aWJx1hnUR6w03dE1P3s+mhmm9f53zAwh0VHPIU/B1dvvwRk2B7p8U/SxX9BubRBLk1rvfsygI75eHNY5EuyuICa4S95/yMQ2mRfpamz4zg0v7fHp/xQK5wuFnwvt1gmzDQSI96yFbe/W9vCzSrdNC+Bo2Lh/g73/t7Rps7R4enEtu9gjlMaezn3d/fXCl4e8O0Af318ueSmaUfCcIeMHLLxQIMTabXOcFwWIDZhULTtSnasGKNna3xLhfejINtXrNX3VGWRxersh7PlPtf2J2KypreHiZtzsnmHLWlCOQnsBgw9xberRJsjfOcvfZOfmiQPBRwJlv9DaX9NRVT9vJ2hnnAwvlHrfoKaiQkvf2d88lKOp0B0+Wwtm+k0+++gRfJm2vGHq7Spg9atqFffx5H45HNpyftpwi04JULfW3c/kpD+wPW9mr6a0tbHznkyZKpQ7774wKrJmXHV4jVC3Vg7nTKBQ6CfPW792X2bUI+LDu5Gq8HFCRr6WKIrRQogDkXSwIHisDrybD9ZpHalMOMIM8ZX9y7QCjiBcbqOQeNUCsVsmxCc64OglP8u8t9tknzXy8CDPM4Aw13YsVUiMIPazfbnByg1v5iA8u8e7FUwOafnPIDGf0V2wjAd0tBS8WcElTxCYBem7qxj3qcqiZcWmXNEcR1BrEyep/dAEq3kDu7JCL345otwOcX0eujQs2TFTr6r4c16RXFn9kawGRRQePoTbPGXsmJx3r0RY2CNXfrx3h37uU33ct9ydiTjdjs073fV9KAnpcDsPiKP/AeTw3rTX0laIltIWEVVlpC7PcdWlw2aQTjr33I8bjNgExwOE2GCMy+U05lR4xHA6yLs+CDqQ2vo+mSrL/a4aGYPXPICflgdlHkrhl4QV61+dm12vufhuupLb/MOTlBOBIg7M/jFMIof3Im4TfFRyG8BbTHE7uSnwtVmD5Z52AJyL53ONu+Y9QPcNZPNrSu3Ks0j0hfh4sWoV2lQlbJ84+T5NtDwpa04ag6v3rioSm3kuvR2h5hvRu/8sL0hMdhBvH6v/qoql+AQwmWhfE0/K1pT6UNcQ5yDQlllXIOuRzfIN4fKntKm2D+4kPslkXbnYP/PDFEP8WVKGG9ojYbEHAcsHvACQ7NPX69UZCnIabcmr06wZhOjWO/tXlgvDOI61d1YOdY+3Y52GMa4k/Qppes14yAboV3Avq2nfMBSfwFLM+nUfQeSpzLhgWY8C6wQV+2wA1HHk2Zem5xGkxP+F0E+PndF8ZuqB9nvAWg6L3XnZveNnusLlvLu+mhUFsw11Zp7u7tU4acNL+txscs/9pmpob7HM44G3l+ZluKhXSM1xhfVQ+xLwHNtlbitzb1fjb70w7qsq9ZM93C70Q9z+cM/psTW7WdAEthplk5Zs+TM93IUNo4ILsK2C2BvCYtYIhIS+AMofqWsX6ZqIUrauvPqm+c+v8x9a3NjepMt3+Ji0mNPwZzMzYiCF1A3wC5gkFgYhMb8+tPy/tx3lO7pvZkJhOD1L16LakvhvPWej8VC+w0AC4UfC/Y384y0rOITRv5PjxzGyZd6zSBe0W+chuvB2yYg8RjE+x7SiGWYt/8IHrOo79E+bAc60E6VMmVAl/PWKzrY9919LYMG8CywBDR9ID140kXLMT0F4ihMcRQl1NnV3XtbxUq0JAogJit+2f71QA8twctYDkz+HWX97HJRjUD5umYCvw8ODeRu69V8Pavr3qNMaHsAbx2AzrkBw3qmg+MJZ441Gs7pywuKljL19zbAme8v20IN01plw62dL06+0AhivGoTFYoS3RxLHvzC0E8Egx8vmj/+hEdTaWoJ850CPagqDc1axfdx60x98+6a3UprVGFi0hYQE4eHhhBP9rvCLz6afivlwTTvQw54OXqjrVlgv8FD8L3Fuijj0S5/6uHvdmImlddAX7iIKfBzmnXX2ngtnnP7sAZvGpoQFNMwO1xko04Ai52I8Y/OxkB48nnInoRv+M4ZbDWBF9TJhbSBQiw5nX3/fYviCVfSb9Z+eg+BGPXPHIXfUZChsloXjW4U1gWMfCdb53XA9wK99j34Xsam/Um4CfoyICNYBfwjupccwf2PQC+ijucz4Uo0F8/otpvr8AXPnRNQRLKFhnNU4ZzKwMx6zwy4fu2PntOqblKP6Yn0EYJNcH2GcVg18BtnpT3Zr1+bpiJPhjwjxOTeWZtecYlof08ve8CCFUOcC2hdeRpvKx0wDsBcbVeWUY6pnuJIDoohK1mkwMmVCY+Zqv7hM86p37wIVj/4Mw9snADvsocZmKvCoKV7+YvTpCVhs67/4Z1NEQKWuF60v374d9SJneVgSPaBWkVYRutrl93MuBheW08dskpTkCzn09gp9hvHpTKGeLY8WihO2NupGs/qCU80Jl3iJdIkOT+F7+YCPRZVUVRTgrxK8wLrOvmyhVw7VFcJeBItgZVzXCGrO2lsZYjNtuNHOUMul3P9vNZCHrSxj9iVVlpSkfn8YEyf1be3qbjO1f/ZiGO4lTHKNWupyA+JAr+PlJHwpRD+XStwUcYQ7qX7xG0wVqp6QeWAHQvoICP9hnH6BQqRNb+DjzkC4ftWHb7K/WyK9jXFXDpb+Y4aK6Pxo6TzGpxY7YF7oIe8OVOdM0MxB7atf0BNHRi9IY08BFbaKx322NNA9Ccjp6/QQ/AT0BHGCndP9ka6HmKZmNsZ+pfTDY4bw5gsU5QHcMzrvtXoCPEpCTRM1u78pkMD+sUuTp3ckOC5M474AO985Cho+tHAtFjxHa6/iDwQD+keb8cySAvui9d2QeetFkCeuWdH1XRQc65LSbZz6jp2zQzwCejeIZnHk9U5zkJ7xQBx8rn3cES40nPBO/wtepePeYw7eOx5krQcLrmxtwyJXK6BsHrjN1kCQr/+lTsdI9T0Mkb0FslJYKWzM051bk6FxvijJsC9U9ftXB0re1v4PzMe9X09/jjuLZXvJZrVahrZc0MbChjvWKIia/Kih96bl0+mG9tPkvDGf/j6wbwMFXVr7/fWMCvvVMIz2+Zv5Lq3rPxIkcdC8VOmsH+VRute/xZtzszZFYb5bNmn0tuqA+dYXUKHcTCbcQL/NZ6aWUzC3QH0n22s/HzcTTma2nGoB+lD7yTpl52170gqZ6zU7gvnpSEgjehfz0aU0X92wbD95xAf+Z0cjGsBR+crKTGHfAqO67uew3d7Hm7Hw18OK4qELttjsPgDDjr8gJZebC/Hu1pLM//rqAbF+rv7zRqNslz+1PzzBaru6aejBpeWo0/xdgXS2W6IbZBM4L2SYPPJzIefzOsm4HeTwP4SeH+MMO4Ej2vdcUh1s84tIC0+twM7wjwVWEInHv4F4V6jipoeAONzNhWoHGuYHMUtMKj7vXs6saBvYyr3b/lNMg3HgI26tyqODl14FPdt3mCfajN1zwwnTPmlb0+rYpvun6UWG0G/ozB52N4jw6w5Fj58tb0LEp54OMhTnPL+c37f0/m+yvgoZFYj7/6LxTiqF7dgPPW0P0myy5QjRe0TQfctxAD7O1Rz7esA8krBr5j9obm+MB5bkdbXKTCUVaoB+9BqwRBl1txLlSwz+llFZGu4Z3+cvVRFDtsEEPCkI3ApvNhKkoWp8Lz7fqFZ76TG/SOLeeBbJ0Tzjzg1ZsSdAzj8ysfAPjNlzCZV0XNM6Pmx/E5b4BLwlpru4nLt04RHnA030mBU3SaP8P676gFJEfrTNAfTdju4B0Bn7aIju0e6xqbEQMvw8PJV6I630zwr0dl4QMOgLkyhoU123XRrBz2L1fTO6Z4lCLdo2nKrS1oUQb+J7HUdQ79MpMwTnWPEwGYynzmNOPklcP2Iuh0zxjwP4ZK4sn4lQtpC927zTqarZuSNqTkc6PP+OqxfdcuJZkpW+ATLjL+PaSOYVasz3FiFrhl3otR6lpPgo4EGCDY5T1RrQNa7UD0+WEX6z4/55rIj2RFvxIwW0IMwf5i6xxpiOFFWvzlEeViWAwK60KZzlvY8qZgXd1PNvj2PQkCXFN8JuOnDZxqAL19zSEeHiwKvCQmEJOdWiGI48ZanudE14eBvWR6DnxtLE7lBV7VBe8zc9bYwfNofttHcwJte7tmRpsCz/nSNakHEx0IXwbQR8Dj/z3xGLcHmw1Hm21q9anrml+4UBMGmmNCIrxs5HDbiLWNshz8P/i8JwN7YxSXYWYmPpty4A11f1tA66ZsN0+Cx7HGaV3PgKKW1nSb1oBH+Xm+JYXbsqJFWM+E5mrOx2YlQbwIA7iLhYp8nHzAsj3uzbIO5zefN1mvde9lI4irOxR0LN9G1M9M8jof1fMtVXg0Ynj/3soHlFS9YZPV1T2ijjTcgJb8Bl3n+PVzdqmKR2wtoG9cxGws8n76Kou/+bAe6JgYWXgnw42Tk8ai/nJvLLSC/mOJv73ifiLEj3X+jtsMW7PuQHPz4MHoPFbcseVZ35+yY6WwrvM5AJaSjLOiMVTEerQ0Bn5z0R0JZAs4IRgQjJTOBxLBWtLWOxXJg9n7hRozp5az1/exTM99Bs4H2is6jeUmG5wojwIiA8BQqpS01b5+bjNcBLw0la7j8cpVvc++DOn3j4Mxgy3ge2LIFD73q4qUwaP4CXtl1lZgYVvd9Vk77B9F4cOpu73VjG0BOB/r+zPdwwBsuBAscPJB/SIiwqaYrsxXO5Jv3zkVRNfo4T64Y4Wt2ox1/8qR9WyFtf/fPXlzzXqMKw+4XTjPIpRjHbBnFbEJdaqsV6V7Vz0qf3tDKojzoS0qAjyJsUpCdMF+8M5NNaXnmkeLCeCZv6fBVGWna1tEKKgZgt5/gFZ7zRDSczoIR/vKww7qsdB17fnQX0Uvu9MwX0Hv/BALx2XfHv/LPXjdR/9/PatnB7Ahy8fgA2yn4qBFq95fqAmc8L86699mzFb0nI+oX0b86ukkL6XBfiC2xsCDPMlLB3QUJyw4gIZYEsbg62ADn5eRATQ3/HrfSUHMNRDoKfTcOsiMU7IiKzNRCL6fnJh7E6B/GQ2uGaFPubqRsJxShHTNlArg+w45aPFmEPum8K3j82Zx3zeOhvN1fG6RzP+Z+fPfu17Pasi38bqzsMQvGrT/38zXGepu7rHpDg1oAWnJgzjfNsg30dGavbxrnpSURmO7ur4LUz1nd9TzTdyNnhOV5MARDPMIcfon794zTW53FCB8MCaUjcKEfXkyBRwmam3gwKD3kF2e9f0J2DJVui+ifbBRWQ6ldeoCG+yv1z0B6oLpmRlgt/CslnNBIQu5ziP1fCvl9H1309NwXvjo24At+dEKbBSqgeieFqb8QMW3jYHwHmy3J2O8Jjz+wGZAgX/GlMYRcIZV5++APRySEDhw+K17X6V8aDPR9Svm6ILM5l1bkYow1n0+b6UCfWF/W0fwR1EA2xwcFx5pD35wz/sZy/DybPxtlwesoJGYT72oIP6Wek5d7ZcbaYHl2OwLuP9GawlsSTsHW8o68cZ5k9DsKdV0KXls1MZjUw8iJXzC1C5hD1obNPtPEqgfPIJcMYFzEIkJ1d/j/GKe2JTHNmiXItP3MmO8Z6OeEymrmrcmD5cK4uq7HnZlg9Q94GGPZEetxzMZ44tge4gcgHnG9hf2AYsAfaQke544+OmKcVpcnq8+03reF90abAC9TtkEWpTqc6X/b+4gQb3xjik/VY/zU4fuue55wPCtsVFbjtOg841LI76ANtfOs+FMRLKYvnLdOcpTZh2isur7DWAsoYbDpGI3wDBL91DOrUT36Pnv3Nv6mxF/aCyxP3mKyIHdqK3CuqcbiL87+D0GknmHfT7UvXk80eXQ9M5B91XFXrKIIthXlm9yBvrbBlW1glbst6CnlMjA1oAzrqXu12G/55rdHsyaAp3nysBHqbEBbiJ+K6KGlG6n2sf3OkIz0WffHdvn8AbVMEUpSR7NAHwIYvKpcw8Y4k8+LDgbpZ75bpAx07NPl7KIcxYF7zyiqu584AzUqvv+jizzfAQGqe8phRHbwvq+Yl7eUb+/n/xM39FlSMUM9FosNcd//jMa0Hqpnne67p+ANR+lnnVbqBsj0tS8Uc/5e2uHE6BCHgJX4Je1HqYfFoo77SUnRmygaLqJQpQngEgalLrH7AEwxKsKxhrWzrkZGzJAYcp0bY55qa32wEf5lSuR1DbIcJXdiSH+V+8wj0jXbHXS0PfLukdXCbyec8dABug9EhdsbDtEnSWBvTupeA9cZnMKxBEwJZZ8+pUMGXQAft3hKusZEXabVgbdlEr31gaTXNWbH35kii7Smuc8dNpkbe7Eni6UoP96VXmxqfuO1/RyFeryZMNy0R0DRUdXPrLyv5qt3ipH7JbcX7XuaAz/fjADk/rbCI2qkL58n288MiZ1/6aED8EIvwDicHby8Jro+hc6RacInV/xiKBUWmhI1s97bbsfrN8eU95WTOddF3JTEpSk+fb3aJTGqYe4OIq1GRKrVu37PqWjXWaKMa4aJaJS+9aAvwQXtDZYCXj2v1lWbQKxCuwcfIDoOl+dNyH3gLOAk64B+ohWFvoBrfGsfFylofo4+TMDnfbk5PONvV84dDyw4bVh2QLPtte9LfGA87TI9IyMV50vj77BpjZWycHWOUvEqg6Nrh0M1QEwZ1ONyoM1ECj6hDgOGpAi0FRB3oxun49/dxwCUwR4J3fAN75EP71ydWiormCL4Aeznw0INMvWz4HDAid91e+J3lgAJ1Aa4VXu5oqEaqR9cJPgC02EnozqvKstrVYmdD/s//nyprH9DQo+rXyU8cEyES1aUN6ZkVuTvtNAsJdfxAM/VtOuYu5G2jLKSFzVYCsVxGnALQOZMgStDdg3/RDSLAQ494kqH+t8TPae1XK7AseAndK+XjpH43tzAmVyIugp+PejhihRct0voP1KAN9yP25BY03I33oZneN6xRnz0O31dZE5wNWmhM66358BtoE0Dkj6NwdBz8uZGyN5ksjV9wYrxG9d9+qTKFbNGhsVvxmCuRCPtd7Ek+7FmPdty8bvDWCzAKyoQBtuiK9YFUyjpMKmek5P4e7JsPjCSv5mWEO8z3Qnc9nf7pV1s4DbXes+sCubnZk/pad8/pW0NAFX6UkBCFsXo6b9IzHijxNDQUVZAPpwJf7ioQi/7uZyQ3QNCb5AG1Jsordt/IIGBN3U23gVO1jbtWITqBhYS25uBFNdZeuzOtc5dXFBR+CKIfNzqg+SZJ4ZCDe0dZGJjcQI3IRulhOfixMJSNPD54G+qM+39zlAK3rkHyD2Z1ab1FzFxEZxOSYGjl69V175oSKachE1wPUAuQYKfq5nEun8pn9OZTmB6E2GhodDLXXMeVCBXhaJL39xp2v9g3cPyV2usMaMnAG1LA3znBmbDejSITHUFYN2YMblDpjkvGZ6FS6raPNkfvuDLd9quDoSTw2VD/sDAbnK/61JKIA/xronYZLQaaysN8e+bQC7QCMxux7ZkeTzT8lcH2ziUYL2pdFkEfCrNBQXqtOhesGowjfAEZcEyqIW+iiNBWwwAC2jOtB1dmPouu+5QDaoyDHIcPc3k+t58lhUMxcRw/wgxeUKuj47cXTN+/iRD44JOpzqPLzEZLoPyLG02IVHvu6fVpSACzjcoqTDwCTmvB70rJ3pWY+XJ9jbbzIER/rXO/1mMLp5itA5owA/qXL3oIOIrhEuuWk2gSyFETyoPbnARxQvAnQa1Jdc0ZhGrvGa3R0m68lrf195dFyft0wbFlyWyg9c7sF6n//ul2/IKJeSguLkpl8rPecKa22eVSGKq7G8okGC35pPoXsU0eBDho6JrB5WCOtcjZV1sZfTrS8JOsv/5hRHoPlCzecBSz7I+d9bOzxO5+2OsDYHn8wS3VOMsEcNuFIFQYLBn4g13Su6DbVmJIEQOAha2D+/8n1Lz0aQ/XIrSWzTgK6AoTYLXKsuVAsxT+faM3reDu8zvTR0rrnd6jtNiIVs4qT9qD3Mag7+EraVKOhGhuZZWptNstIr6fQ8Gubl/HJFdDugTqR0kBn1WqdirZMUvSn4v7X2gpKZyZLZl/d+2Zy3PtnNe7CvO/ODR0KwLWlm1oqVWZ842IwRpi3m1JkE+XwmXfxVddlGz8Ku+fcCWmIHuK5zM3kTAq6b30tWuL/U1D0J3eR1Uva/c4BsmNYqZD/IMFtwEUKK4CgpjkkUHA6mulfAKV65wbaYAY6U9J1ARhD/gykHbhjCf+d6yDa5dTFxoUfToF3OUfuqn1Wgzwzx9uUjaC9dT5Id15gfTZZS4NNZr3zexbyygxst3B9A+s3rfuu5JYkfANcU+n4Y9IpzT175DfMIvhFWnALLlqnQPQj8rXkaIdL/34xdfc7aMhsdGhtswZzevdEvoCcXXuh7n5Zyf7kA/ykboj5qCrrJ3+5x+L0AXx54h/aJiYmkywbibl4TEXCd+1FcNjrXVM+YfOOG6NkGuH8M/HSqQxPw7/tKQjmjIajyQtwAgzm12UezygSUs6HnZ6MB4iEDWOrNAo24quDfNSEeQcdbabRfIXZ1KW1/0nz+yEFXve/1jgYCvJAjcOdC9yEgkYwrHzTI+LniET8rQy11IGPAUuN/+QKwDiwBHxnky1aCouHTM+Vzmw3yV8+xA+0zIr8lJZ8/QBe8z20ogO4deOxPwtlT5yAmvbyXRO5Pum+1ibtS94nUfYs58qvhdqWhFOCTKfJ6JyF6WnIrkE/v+sxdz20+roAqK9N3zx+gSX9K9acrJxQ1DviCfYI4gYCiJuFMpDV51epfZdFqf8xqf0pQPmO2CsHHeCbAk3Jrc4fvvdfc9Jp+zujAwpzGse6TUhpOflKSyOfNRuqdszQPOFIpaFEQg9uvlE4pfKJ9sJwFW/sF9DJwfdyWvfwo12w5rt9OZhhPMk7dyccxDTQXNk3AvTuxMt2feg/ahGNTgY24GcTYtFrfOe0zEK64pHx51EPM+OAYwM+xjFqEOtAP+p5ZXQzgjV9stx0Sona1Ye50n/j8OQ/AfXgd4tesP+nHdzYqX/ibp74n0FVQKMjuErj+/3EAGXOFwB9nlvrTVDGBIT5dGYuHmvcO7tBBeKUNVg22zUTVB0L3EGdKhoDPmzz81mcbgQwVyxgOMqb7kzNFgcuzV96E8z6PGnI+n/Ne/EB8yyoL56+zQhP/iMBtuZ5d7uuZe71Dx4BzOsXweR8NQz+5/XmtXnWt6Dc5356Vzik7z2ZGnRQRlokgeEpDmU33+e5xp2uqgKsEE+dmVYftue5ELn3McRF8YSv4/3xbgc58GHkPuBiJ64m+6md/81F1aeD+nILeRmvwZB4eqsA3gdcfOI11TeX4t1+BSoBzGc1rThHE8X72dG1tzlqd6wec+9uE+B9UxOV58WlKHs9J7/xwpvYvXWL7S2XIj9xQ7ok73imSoMLcXcNb4EHqqwmX9xpeamPrZ1pvDXitzrd7yjc22LtDIvxBn//so82AQWf2YUUqsT8N0EofOqejHCfUFKgiPns01pIzXdzPpQ86va2seY99wDLDHAVt3voLfpKb5kY8YtPdZWPyzHpnA7jylUEsySjWfVI8XXODzDagZhxUNr7qmVJsRT9lV5oVPEHy3Fp6Dg8j38/Myp4QM/PTsHdAHwO2Yfp/sTL+ANs56HOLhMjfBJ4fNMLXwfbvdZEBzzV76sGahLpvPN7kI56YCXyod8DX5hjW/of81xv/fupB49pyB5IhkatIMZ/OkrzvOG53CTEGed8Qn6iZQqxq1LfuJ3+kxnQEPCwAqyBytrMg4CvnuWddO6WBakEDocyUX8TCCPwDJ89/V3020Jxv1zRM7oc1pvDzUBPO7/yolYQUeFB/Twu6Hg3ANXuyjma2pFFcYnAv+Bl3YciuHqcP7Ev7aBgQGzb33N8yMYCvg86pR5Gchs39YKGyybd7WXw7adTqjjo/KXfeeNg21pbltizSok0z4vol2S/Sby+VGXdyiPvcWDqi1a+eI6jiL2HhOw0nG3hrhg1nbvot4AH6RTvgMbv5DPzJyX3jrrkdMfsnsvA7b3lzXJEFHHqDwsms9VydSPcNxi6nOl4zzTcqTHBL7PKOBsCNYRlAP1DNC9AK/tBvrsRqH/AOh6xrNWeYUL+dcpLpO2KGI5S9uaiuiRDFZUmG9kr97aQxDFmbK9jfrg43dh4IPRPiJ1HMqPzHikh5B7zeY25sGBEfzIBnD9nMom+HdsEHqBOIO1vADWVz5X6IoP/rsXAEDVABj65M16+e2/zEjYVYQXG0cZqtLmhg5NZ9YjTPf+DHIqRRsx7XFvY87uXYv3pPgC2aiXWxWaFmqmJP9ua9tgMEOL5hxvTWX4CVOg9680y9wAB+zclI7yWLy9MZTA/wMGfxR6XPucCjueYuXP2Q8GadeuRhA1gyvWywrX7E6vJKzw4ivgOcvUp68AfgH8hr37nEKxulWdJ/K+hPq7GzTWOwRzW2a2JNFibtjz4bYT7g3gr6xZjOQFHB3zCjBDQksDTgZwP4naPzAcmg+3aw38ZzcVOAju9BH/K/HOnnYf2+Q6xcTsP8kP38SJn7ACz1AT83yHQ/kDVXEKsAJ3AuwRoyNVmVv8AzmbpXFGX9VtFws+brpwWxweMgQABH+iY076UKxqPhrO9zAESUT1a3A3+8wlrrHMCy7vXsCsSBnQNOL1fJ+yvEeER65WIjTtJwco6mEieiZwtk99QPwDZv69FWVOdDCnuvc4kH0GA+vMebiw7Ah6yj5ViNgX9rGz0S9vksO2kDh/kSHtthKt2Et+BzTgGKHul7ITKYpc7hOawMI3VZayYx6dS90fm7Nrsh0LSimH5qenvK/q8frKh320UOIoOfy4H7G5RNbslEy7rswYdyc7SzlVqAH2yiCL4WvRiaPp6Iih9yVEcWJTaxWz173SJhewF+6qBOtTK6XHPdL3ct3+dRfhoFDu81fzEr4CFVpQAvvSCG+HjXM6Ubs9zQ0OySwTDz0Plixad98i9PiG+z4OKu54rX1LmB1rIow5uD4WyokiPoz00SqAMOmvddW5CH/1bem6noUYYH4wEa+wNb/x5J7ztN19+55zoHS37ouRV8oHfBg6JckVepyxX4NDt52RVi9k89sPOpS7S/ATvW94FbQQAnQZe8a9sfaRHY2Lo4Jd8sJGoH4VH7uCZPpHtYm2yVXWtVgXupA8wkA+oDmHWKSvtguvBZiCKWmYgmd6HXj84JKZg46bsAOx50TX5C4v+bHexnVlmIIwL7FFZ7Ac11J0oq4DiL1LPlQ9U2EdsnnjowWNMKNHrJlxb3webUqTz3hZX17Zr7G33GPWNLZPUwBSWfenj3Zwm67M17m0B4FS2dijuEGHNQE12ZNRd19/nEgDnMwB+EiKewVMTsT4twAT7pVmzMICbr+fP4N+uwr+uda3+/HIEb1gxlSa8qOuCE+uztyy0eg30SuYC/ewNA6SYDl7ICIroX/FSDo2c5tID9fQN7ngetR7sY5IEYAVuPiYV3GU2sxKJmAvoV9uDS+OIMnO1cWUwgsPsGsOLv/quYbqU1zyXozlP3+WC83JDdP5vt/pksxJh3vV13iZ2b33fgC8Dv/5miSO6nrj0kBi7FqB6oY0+09te00D0vJvTqIzgEw8EM8hPI7v+9V0Z2NyvhiGYMcDW8OAL4JFu/nxh4QROCLvfcvulvYPfMa7yWIipKEjRrc5513SNorJuDOLrUhZ4/u/wCTnRc9xulpdnY/QLP9j770jXtCeDXoxxKA/Rcf9BKjWd2TZprqc8afYjtwHGZngnSKT33/CLO20mOnw4pPgE7JCC+zGjgmvA8Fo/YmZE4yaP2Q9s0Cty/uFwaAt41WxLAGMTULefBQIMGdO63CbYyHE35gccM4qLyqF/azZosfGwPmQU6gTqG8IHvK9nqWXc6lvxXIxkDmmQbiMompbc33/hlEdZnTQfdZRP00l3X7ep7O6x7fnbY1n1EpAGYbZgctPKAQodqXparKal2/2DfhL6LuxD7c0N93acLPxDYSG5s28qOL3nY8r/Pgt0BHvwFtrHkIej2fusBJu2r7nOhBcRcE/R4EceNrc65YaKskAdhbV3QNTb464HaQaj7oOWkJQmjC+K+VVrikg3Kx0Zz5VH7ztP7lbx8iLBZau/zmtu6T0Wp7e2n8hoHef9poNL8BD4mcuBKA+GTQiZ4rN32olOxvgOBuIqJLcFHvi2ilJEWQvf0RqzQdx7vPPN5RSFGIgcdTHzdqylEFkp5NIHWdwTV+DaY+/r8z06izydV06amjc5v9lLgOMifLhCL7dqH9bWnHll0bRhgf/hYuS8TMrA1H999seaqGWGNOpkkNAh0/WCu+ZIqQa8mG332WBf+UlvmXBkCnBjfKAtcGZo49dsb0fPbdsAHu+SeWbFfDtMTtDkHDNWx3gV7HbW6f2uHlG73eLf9EeEGYiy1Gta2ZHj1xf4S4Xau9VnroH5JOK8p2AIqXj2DwL7Lq15bCfEpscwojVgCGnJAncsF8RfghbwZmuupY+8cmKDpg4X48leuqG+oaYhVtHhwbOoLFw0XA/xlT6NYISNWxMS7tLg4yEggFsg0jRDwi9l91RDvtmbFPu+11ercibWE+CkN6SI7ft8hJpW1fTRFoHvbPhK7Nwmfad236dEwq4T+u5ZWeT8Y+w0L2yn31NDs5h+s98brDWK6KynifW5eNsB75so3b8D/HeJvfcmylVjIEMX3m4veswEtgqt9XrjPNPCNav1cTyregG2NJ7rkJwp7ZctbskrjFLZDAvr/sKo04TKqrfhGhoCxAZV8kHa5tgPwAnG0St3XCvgzIEXPljfHLi3D0HPY8mEOm2hvlCsofMNMj8DVMztYmuF7QWNbAQcDrdxfuQcx0Qe71TZZTA5naC51b52RfVT5djpYmSlo3NeRezhRfCR98s6rPAPPALxB+Sma0pq4gurZB3wL7vmKnUZFcMrZdODDckgLRmXhFvAeHHgSaKRlz8xmySOGgVMe0+Bylx6+HM1vS4xsQUTXuf3lEmcQUzJOgTUZQQD6ukyUTHPO9N27L+HdSO9koHXKxvu0yhWvqR8HYv0G/5ncPEJ+Hu03J+Dlaah8fRYFsfqHQHySsBfwdXW0L+81XEE7/eheRcIOIq77XUX9nfSCgtR+kvO2w1xzgAA0wO3aEF2XwH4o6KsKng58QOcnZ2IEvV7gC+vh8/PtRx0uZ1TENvP2m2rs37HSrmx0BTtwqRGkFcRuQoC3de2QgjYCfXlPg/2GRqzX93qN2ltyyK5oLe+CfRs6pyYtZIWs1sWFJDIUT8TiKDfpKnznQIeFMODR7/ONlMVfNf1nnlh7LwvkyH450ujToQNKqWp1b6sf4BqeWLHDLPBPPzMSAtjlL+thpQ7wVJIUvpFYoF1otpY9vojnP4OB7gAM/zlY5d8ccJ3TnBQTy4rmiiEIgZYdEogFp6C/IzPOT7ttDvG0Bx6uOTfoZh/47bwHvo5qBXybgF+dZwV8CjU9XprwG3xyntCAbcL3tuidN8d+5uHsNAUCDILnGOUG09avVGbnvH35m4zwXPPJghgI/tKvidKzjoAzAUYlY3lnQfkUHhoQEYowPZcbK2kZD+njH2q8tPv7fvkX+6CRO3lDpHX44CgIQSY2g0QOul9Isynt2Ml3W7tacXIE5Dl5Mie9/xCDsMAndM+1nCh8zHsREK8FGw0qOfSvGce8wDqP/V3bPlfh9AT7Pgv+WJix/UJ2cuXn7cD9oNfzaFgXE10TzUdk1GFwoyq4VH68Aw4QgXYEv2p94MdpNTATbN+uetgXHWts4P3DxA+Ao+9zG2J8PyuFvkCT9glnewTxGEffm4M5+TUXwUHPg2MK9GG7y57bJ2h10G+gZV6zQBIziSbguc6+UdOVswDiaPI8heYFd8JrLH8F/fI+q9yDPhO6hkqStieAs03g3/Udz3GlzyPwD7nbzsCi7fI8g52Cv69gmwFoU396ZvY0IH9zld23k/jbifsL0vfsOd/qvrNWsros0ack/6sLqFf3I7cyiIfUTMMLxF2Uy2jSuXoupfvN0TI7nZNbGcEdezikoC2TforT6LKAb4Yy6h1BmAKcTvJAZmALPcTxp1DxUlob8M/3/fLtddd8BDbL/ZvFVEBqvy2xYpwO24OuS9G1fKXR+lkRWFhdTKzrk312aTp95ob0xJEV+M7usMYQW9tzc97yjCm/7vU7Y5rS5o29PtgKl2b/0PdfjMg7xBYKnO0X9xfnBEQFUPYG7OqXdm6O8393WO3sYKEbDYXuwfwF8bNq1hied/mANTdO+vzLvtxT4n4crQfE1P1b64FWxoPuX8N8wB6w4nR3c0S+VYJv7s2wMYiBXBzBv/XbX+BATqI+N4Cfe+C5d/CRCXCPgp4rmc+eTRBPDGzzYDPQ6cB0ivhCw+Zdn/I8vHRIaeUrK04+fZxUsklJb6JVubxrrNxiX+WAP4Suu1CuDzwiQoVAiAElMeNHxc0PynXb9GQl/gR6U1S6b4lck3vuAV82zLeuXEGDrDxgTmkrNzfBH42pzI2AI+78AAv8kKCndG4C+PhCO7HQYSobiG/6/kDSbXZcszXXXIjiUff1yUPfJr6xkWHQ0mHuIBa+e2PG4BM4AfwBTnyo1r3O2bITY7mcQukcnrdrTpd9NX4Dl850HWHFPFDbITxTJ/cQd7JkVRM1Mdio+wO8EDi8u9fn7iRgoN2k5k7vmVxYjpJAjP/AawsxfFa83/a12i/Y2m7weZuU1vIg1vYMGpgloVMCXvXHFU2yY6W+nwPuoc8bKIb9Rbb7ezSWR+PR64mbAeBBdRqT9x3iQ/TxtRpUIbnJSSQFYJsDPNHIel2rLwfqtyHWc7oU3eSFfBDlPkrTHSTwyBJwsFTtgALQNp3Ss5FG7jPGlLIS4IKve1qVvW3+Rny15ipwAUnvjDKXhLFLzFiVlnMA7fhLOcrycPLEeHHwEHRHWxQQM++lzfb1OFmpnotLgj5/bnUvFYPx+Im7ZME06BFp7NPfvQPEdeNVS+Geov5KosABfgz6wn9muteN7ukYlqsYggP4wFp2vl0WuCyLbEWjuz9a2yNgyA/8fFxaoDIL8Evf0PNRfdhj47ji/WEV7zUkpN8yubYpjoR1XHsb9O0+DVALeqw6DZe1gZ9P/W898zM7mgp4VdCW+T+7eeWrOzofoAddonkjl7t/V/hZNmOXa+o7S9b1j0q9Z5tC/AydjHuJ7q35IHwLsdd9nZ2A/h9RDhoI4mg9AvYZzq4240tFW+AcohP0stYUtH+YPNgaj1nnJpT5V+HjD51bl/qXR8Lwq/bwfW6DO+YCDzDhXexS0bXq3Bgbl6fozar2jZe/SOVmsqCOsOUFP7eDrgPMdaaxMfeUBuOpmPR5vod7h4EdtoxhRoAjHp7As6z4fT6PD6b8hdh1rgd2QEb7ZCNdkXK73It9ArYMfN/NDBQBOf0Cu9GzjXpZvGa0vXoIHe0pAe1zlSMrxSggjrkfdFTOSfdRpP82nLjTO1ZmCg00Uiby3Lyx5T4jEFuAx+Z6fh5D91MgYM9xBXE4hPiCaYR2ldcOud/ukD6T6LfDcWUfmGGKVfzBrMtTzzZPAvkDVKkDDvbO1d/l6+dSryoCfECNtQULaa/gT2bqqwrRbQQ60DmaQZSydkyLOBFc/KJC5hlgPLJZUnm9rn2KSNQK0JD3ozXtpCVawb9Be8dm03//zUFghQI+MVkNgApwE9QMj6UckRLr57XWucKRnrMz35v/8G4DazskHkvrUWSwbgo9/z2z//AwRmNQ1KTflPT2RJyBtjYhpqB3nvmAo3jTsOmp58gD82KNj6IqCirBQed08HegIOQwg6+4qFyVBew2ARt/Nrpn8uBEJ4gRtSljSoLLiYrgFAag6/GHHC5mHcbT4e/c5mYTe1pLXWcYtVFmy98mQAHn6HIqmNL9GkC1nHVd/SuXcRCPlAPPZ/FIDPAnXq6ETezEEhMVOID3NGvgmA2fLqUSAfObBy/+3quvfadKWMwzS+xLUxiCbu8JQUkytoQM5noKl0Nlx95pKDcQc0HvCYxDrO8TbhDD3DQSN4hhvynEMOCom/9yE5xWBtKhuqYm+NOwZ+nHax4Kh6jGQGsDcWT+4H4CzB2rxpR9CnZZea4oda97XZjgCd1rwj+YbMyG5lEZmDaDRFkxrcCZd6cecHgHHDwUuwR4LrHY+7P0PBOSsSmQg3FPKfIyQ0IscMWJxLpnTJ/48UcaTa0g9H9xdqtooOctKCF03nGBd6eRzYmHF2JhlzN3Jwy6gWcWzBeiNtriXRcAdvKogngn+9kEbeBnpM10L4jDypby+e9OrSUDjLKr6PsK6/UFWntlhp7n2Fb1TuuBxgB9swf7WXjhTmkA7JrJBQN/qOniIvbXzwFl/VKWHTsmhXtI/L2ed56BNr4ifwu2NH2AnrSRAfyp+96I3b874aAbwPcFj5PKmu8QY4GXYN0DMUCDg9OCPklPV6z9PdK9rOI3Huo5BQ8yxGDLwmEhvNeLa+pznnlDw8Co/6uVAP/Ee+BKHenjX8Iu6wmwvQReTAJpMTPoMr49NkomlPqbUxenctgbR8N8gP++OcCtsoUphniTWcDTLOeiOTI2+kWfR1fDt4NC8PVI7Ori06Aa+3vl1T6Kc0Og2mzsDFhQsvbXZlQHEeC99Hrn1M9pDhy6Gqdf6iVvfqjP4+/HVffeQwnoD52bqg9ZZ+kBpza+HylIRxbeTGKZKDEbB3jiD/JihMFeBcTLclRZHjUbFMhcPGeFKNYzkaL8/G8Dewwxun3X0V95EfinEXCAIpL7rE9IoIArLqjDOj87B95TNETXWeGn7i+CTXE4WvQJ9pxmQ7CyMf46WHqW9OdDWuY19XzQwdtNYkqkewic/Pit9ULQWYLstiOHfW+iaWnAlogRb07kG54D35r+YRIPU/BPClyx4gqws3D1HPAOuMrI9LkfEYeGKSqiz6soJtp4eAP7ADhTminx3/df68EUj3poj3kYW7pXKKCf1nI+6NxHQkEvkXgvQWsSj641R7+gP/V9yyJW3watZcCHW8wWz5QGZ8BK0GNyxiRuT73UeX3hKZ/f9ZXAKdsHHuZC18Tp3Go6snNpOHvgMwgFE9iMmYj+exE2gvi2txsvWwQ1r5K+ZoZ+vOanjMkdsEJloOvEwH5pBM8QxX3ZM4MF7vs+hfEe7EyhX2bKB/KUSsNgn4PWzQlWmLcr4BzS+osDV8Z2/BT84hDulCd/q+dBXF71ywRlzdBsuKcG2fV34NGUnLcb0WGe8uxth7+lic6UBXHGmjUbVdcY0yJDlpzG6eNotBFh4Mtro/M5Odjqmq+JA39fHo3gTAcH4dHVZxZcenszt8wjcNGuWjUObp/ICva0CN49TOKc63FsAjixsUk48IOwt7Af3EgxVZLEwPUCUXu4hPf+wb0KiSeWkk4mNjKjZDKreAI8AOxo92+TghQ9AhZWXRsCD3LT/N8V0807r9KiXXlFa5CyXgA3Kdea0Qe2Jp03cMP97SGKckn6jc6FfR6B8+v6MKHzRNVUVGPrMHsKTueb2YTOXZrtIzPatfHVneqZFTzuAUOCP9swbqsE3kdUm/931ihFWfQrAvxp1vYXD5cnseQTsOULtN4zL5JFjJ/2ydPQ3yaZUgno0B9hBDan3zbElCkfsMdDps/6URrid/1yJplrAj6unPWOvhujhq4RFFfG5zEDvQSfvYDeUUxNinavHLovHM4zBX7dmO0h0b1lbLzUhFmnEf0Q6/GoCnoH/rcDfg5+qt53AX6+BgbXs7qsdpf1aALsMfIe4m1ofpTDlkh4VhoFFhuUVXstlZzN0sZIju2VDAFwqb0D76Vz0QC/trgkrv5/Ahr98rrDX9v/5RHdgJsFGeVSINN3cvJpitdMOfMXMeo0fYxKgj6AmxMEviLDf6ChFuDNcQbcbRAhziTgXmlfbETYDnzsBjzBpOHerK140X0gKhu/779YZdxAb85RYzM/9RubMzAmvwX9hOPMwqD/Y8Ct4ND48qp7NZFh28J+Q2wDdujLoGTBQepZcUHv8E4OzBQVK3DPg/JRh5rn/tX5utgIYG/1HUpiNLw3SOBmwG0RLyDeWmJorG/tX2vuiRZswTpa8bNWLeI8HuC57yXfLnWv+5d/bwDjItq3CRvAJqNvA1tmwcK/mZIQowDblHuUxoSTsYQ47zuJLx6cihjUwZmEvQlY/8X5cpMDHuvCdUBfKP3ugMlVYpgzNVlc2mCDr/tl0C0By8oR30++jBHJ3jlmA3CEDxwl7/yYV004fL4pGUuAf3HAx5yCDk3DvSECESRGeU+MNj7YvgG8Pj9FbpvY2RN+vgD8wbWKf8S6fzR9+5Ny6qDgr9fia348Y/IOe88lm86Aw3uxKkwL3fPGgagmMFcx8D/xOILeh339YPzxRMMSAbQdcyumuXlxjro/wasnK8RAs3zk1j8z9+C5/Pl95lDCZ7jAry/MuOmeqzHWM96taazDYMd6WaJoOoBmWxJ/u2moU+geyNhXPfa3D/izj1MnNsD1vhJjWXUNYtbHXma6gYzcHSPtnPL4fU9k1Ka6UhN8MJynU/+45tZkEdZskmh6Mr7dlV0Qo4Dx9KUdtgz+bAPx68n5BjDgey2H9iMxs2tmsK+835i5EedVofNE1Qd4Xafzs/72q8uuYkCLXP1n3rk2DUAjcQz8fZqPFruLcRop6GPEPnVfXrDh+AHxe4NAGx5sCFlG8NWEyTUv2B4VrqfrQkiI7zifE2S6jj5PeJ9vwLve4R1IEuGJGcqH/UqlSp6SYqG5f20tkyyyhyzaSwU8Bni/7h2dSAP3zTAHKceAHe6jHNA+H5UN67yvOqnvhj8QD1o97+F9vwyYlqMgjmBdzaOp50Tvgde094yLC9bzNl66f6tn/YEe218bFRec+7on9IErFABniwCrF9J9gkZVc263rexxJ8zgWdqB4GP7ngNuSbu38zBZKfu+Z+fbpjaDM7LaFOLTHfQYBcxxKn8xEvBnAvG69tAXxHxLAo7qfkHVkKyywLwpWt2XpCqHpUORWA9PiEckeZaD866VDk5jbEGM3QMXykrzcqUQu1E+d3o2BracW6M5H1cX0Jr9wRDnhmGc5P/uVY8c4HgG982vSt810uVRAvcBHTse7IuZB/sHKLAPMezfsfIJXxtZv7eT3fZA/KnK6fRRAS8ko8p131gC8TYfNo8ynxnwv+CwSqVnbQBnmhBprkcbXyslPw4GcvB59ikTKVtlWhZxW43xrOehvs9tUO9M0he6z8KQGP6S8OlMis+F2Ar0LhLSbu+UxFYdiSl/5XnNcdk1Ohf3jr29pbumgD4G2+zNnLk+rC3P1u9rrYD7U3arCXr3x15lh3eUxa4+k0w99pXoOlVz7wgfZZjKBY3yRoG7v/qwM5WAfW8gmiwQcpLMuoFGxX0SbgzCUHmwhAV8T9eiBnqGYQUxIAEu9z4HwEFyb6z4eKIsAe4OfojBX6ZC0HZD/BbpHjQVdXjD257z4EEVLpjV2GA/V7ZS3U/Jqkz/LvzpSILMKmmy5CNaT0wsjSkK4Mn9+yzlBFqsHFuv8YMko+IDcNmpbbUh0bQeTXcqYc1yQ92z4vuKbLo2+T9HcN1Lao4Z+FwzBiasdQvc3U4ZcHo+f5QWNkHjMfqc783w732+cdB7XluGBXpJ59sZomDpccVf2bDNUw/9YIjuIpwT0A12SuffqttbOrcs9b43aaB+GOhfxhEFHf+hayHlQK+0CzhT+Ch0tZa3f+eKbEAP2Wkxqfq81fcd6gQ6QlgXm3jxKkLlUP/bRBR4Pr+Axs2eEJ+jCnAEF25Cn1uwlcdGAA+uOpHVpliAH5oVaYvMbjakxz/1c37fEymwrIKA3k5edgx2FMUFY8COgVbXDOkzcV+aAfB0zUsWDPqyQlxMIpAfCEJP+raVorxXa3I/WL4F3IBV5y2pqb6nUm8+7yaBVM0ajI3Jgvo1QxW0ie4dDmyTc/XVeEEE68nriPGTQhqzgB9hWFM1UGs+IMUwcKOxAi6V2MGm8ucbZvp+c7+hY0tx/zcPcU8Y6JZBtijs71j5VmY5X3XkPuG57tnAnsAlVzKyrFpZTK04AjuG2KgoPA2vjaUTUXx55aIWeE48ljEvvqHz3BNuOqhfzthD73si3Ve8ZaZvcVirjJpfekYdh33lA8ogPtvImAgxJqdZBfCVOE29tk1Af1W6rg20/Mn7vua94eiZDTmX98x2EzE4eQO8hhrb+bgi4y9+8ViIFXS3NbfAPTYV2AMBPya+aeZKFbKXun8dBjxHDGLfwWh/Tl52P9q6nnmr635/0nACTrndnbgymNmbdacyGWKwNdyisX/n9nxhm4E+MUxisIF7cihVMIAdcx6VoCFaNzecNhljUQcoz7tvPdO0TZ7/TPCgkBM2wXpvSqIGeM9jpRQ9FaVVK1fX7ZDUwwq02DvHDJ5LhTKMb9VuHtCq+/HFlPRbPdegxGCNhF/+q20p5E8VLqXUcyOAh+Wdb2E7UKcgvp3odm7MibN1fyVRvCPn2ahsNAMX8U70PcN65qhAJY4wk9wUENfPvGM/nINXFu6dj5hTGsTUV0XSg3aIWt2xzRAEGWgVTjYA0+jlSiKwev7P4uGUHW3gfHZ5P5jZAzAA3jJ4z6EzEvX5TIvGAb5xxyEKEl/XC075qWNHPecetLtDClWJLvCRsdzSML6CzVDsz4lgF8AnvDn1zhdoLhu0O89VQP7zgTYRnD1PXvC+N9ezrj50HibpYOcV3hwt8aiivYPDmPJQsqwIwN9jSwDW1YBd1bCdTh3Yjj2tKJI5xOkE1hJACus8nN/cdClS7QHsFew5DvP1nQ9wu9ah+EVUFmLYGiW/GeUYL8nI5sbaAqNHr3oUfV+RMvVkgw962/2pOuDJfsyYrnXy43NFtwbVc9iI+4uMGTRa+1UPmxV1JcRi983n9R3FigdpSN7qPU2FHQuIl/emiL3GCHLci7iyAyKVcDMzcHO6N2oAtqyIHxno92YQxdGmd2o4WQIcremnILdAStnTCCrlQe2/mn0Efrkm4eMOCucJttCKEN4H7KKx1QeHmIpG5FXceRDfseswZlyp26sHEDXdKvDtRvOfTjJiiGfdZ7Dvesqn3AHnuZc9Rogu78+KYP+GehARj3TeSTvQUOHEUylgDXCgh6NrGXN/D2v3rfMS9kmPDKqkQUaI3eHUg16PSHgBbEe/EBfbPJ8pG9DtRNAO++aeWct7dtW9Ctj1aBn3Oog3OWhY8gQO06vqVOAiA84n7OkXuPo9WeOPk55zErQP4EHT0UQFhbgF+mo62uWKTBlJwgYxJs8qmnpJ8J2EzQP45vuubU9HV89BCoErgD9NP3VEV9BOwdHYHjMTpYBdr7yhyosffESZ9FoILkGL/aAnJL7nluySEJWcoydw8CDh6t5w+aSAk/BvTBT9nfdaiDrAHXReJbarV85t7B2NpUqoujP27TQDxEoC3zvg35Ip2vBskxb4Bloyg+fJT2N7zkZgQbvZBOx0EN+O2F9eORqlrlkd2F/+Bu/QpWR0IQMQI4jJlQ+8PmRYmOgGsfkHefKesvZJCPhgv/09dcGMiuypJ8VyP9bcw+GD6nWdKtrdTH0PTD3flGNwBLys9H37/z7LkRw4EAVaTjRnzhxYf0780hY0MU/q0zyN3/bB2l6AG0x4TDY8NMXB2O6AFzCIiXfE4gn40iRNQFBDjZImoG0zB8FeCcM3sL1/60qI0p8bDlyBnucHHdq54f4GeIuB7Fb3mgIOur+ewlYlPGZkyDRXfYIuXJghIz3nsRnxGfbOBcY5gUb8SIyNzolReYc3VeB+IfPy/izcdMysTXln4/eDWMJOOlhBC9nIc3eVzYY0Ur90p7XdpPuuzSQKTGrhL0aw1pdfoBE2GXG9snBftZvA875kfrtXQ/Y82lLkxvRew03V+2sVuShX7g74o4L4DlYI2jD8tpLn7GOq4jTAZ8rQk4BWrIbbnUaqJ53/rJXcJf02TCP8k9uqL5UcG9IuacSA47uWHBECnfbmvcNx7cGHSlPXJTMKtrpmKzMe1qkvAfdnB7AnAs4T5sP8i8OLlfEJsJXtTn3Lhc6Z9uXcAL6+5miGk8nGaRJsr+9gFrDAfa3E+54oOFrmUfItP9hxmBnLrHlsxVmK/DYHrhTiIp4TxeJcn/16ehaM9Klie0LwgIH9vmbe2ZmemXrXfYrBxw7JWuo7qvEUybP0kjf2HjMbtRnfbIQf6DxbnZ/+q+96QWs+8FACvrXgB+3lpPv10slKd1tdl22dulicXmcSaqr0nWO4jY8GvtcGWvQcE6l5wShtCXzhnQcLutGGWNgyHzF9R14y3clvSwAvZjkoX2uBelWp8GM7Wz8XCevzX56rvhtlV8kTk3nUgM9SwCM2OFDAx6aA+gJ0uHJLU/3N8gPFcYNnvZZrYooAr4KqEGLHrrS2LcSe35M/ARPc634Y5AC8MDN1Do5MD2sbE14+9CxPZvRLHsH+dsFZRJjo81+mRJH6yCVe8LaNn4SpEHCqZMNmc/LQR+23t2zFS8XUHvzkdmLo8JoY6j8sDBwtG/SM+2zB/sXGEdIaigF3I/r8TBiPu/S+dQ0ZxPvJKU2Wcyred1JT3ZV3iOngiywDxga/L/Uc4rue1Uz6f2ZtB1FlqJ6p4LcyZSdyrd+bhwTekvpTJvi0B91rHcxAc4yUjhNmQbbmdlvpeiTC/uab657bgIm4z0fmIB871BQZAo2MVKySQve5lmc9tzjTuaeA0SzsrynTcyGzjSD9BrHJTKmxipHaPJI8JW0quQAcBgzVfeqG25vbZNj0jdx3/h9Xb9emKK98D38lXqSv8XAQgqLEJuQFcgbEqxEC0kor8umfinPb+/d/Du5rz57pVkgqVWulqlbFlTuyopvbVEwXNeyWIucTxL0f0Y23pI8B68sMnkuftv4HYKcPyqa7FE1cbdZHiPk2s0ZU6dc93Q24x8SsmUCcfMWN/74rSK3iWlFFUwc1eGEranfXxK4dUy+mgvSqNHpk0c6D9aOw4RtYg02pMc5Y+MQOdzJhzcDbAe2RbXpef56Q3JYoDqUm9yQkiXLqXx2YcohHHOHPLPL2J5GsWMBcqhsIhxzwn3IJi4eM/XlAvP6Ulql3UaYeZ6HuBXgiA/vt7kZDZ7/EZg45ph171D36qEzPqC03ewu9czcHwO0uPM+4dy9P2M+YUuPz/lzB98iEqZ+slToJV7AfagS/SxPgXWB75zK00xKwBezX7VU3FCFChCpKxjfSwnaimwDW6QnP8r5nW1Wifggz68+ZV4enmdeGr3D+PkT4dT91NcSQ5lkLNIPNdNxVJu9GuOt/llZTngY9yzz2TuJi5ruVKZw1aSn/VecSEFNnasN5fc8ppniQsA9gf0HtJd00Gp2qhI2u0eGvXL8HPLCngboki1rh1zozc6fmvPCfqXkJVQqY+G5mL1X97ml0A7JIBkmodingt5p573tRLxua79ImgE/0SmgfPA65gu1xxtF0CoFz956mrroA7gmBK16V86ohMHMXP09DfWU5uHUx/9QDv3PHhjWYJuAf5t4wSReTe/udQwf+GPwE57kMfJmcb1e+qKZ2PDM3CrPIY4bXVY4eAJebXtlChuMnG3RDEYJ4KGfizLOpbxNaCoF27sFJgU/MnwlquOzVcw+c67/vyhiXkdpydgxMXUTzsXceT5X/6x3LOjnjyGjBGA0OjiCuxEULVHzwjRY3IUbbtPME/LmvjKaKsOM6xwPg8bFoiwe3plLy35mSvelZqV0VMZsEkusSbPwp+sSqoiYtUQG8+M9KAj4onpNdIR8wQVwmOr4dXMCpufYIapIkalDpaCu1SIkHLpNW6YP7tcLWOqyCbvXuhWFc9VL7cQa+kIlipgOcH84evOMj8Ft66iVNGH6U/AIR8O9ycEhJt35nfGMhyGfiYFlqbvweYGZT363hX8gzzdWBLb5FKHnjjU3KCrsaYnPfV5aA0Ux+UQpMCh0DJ0HilI8J8NhXboY61gPiYw9nw00ciBqCdLBRsH/EBYwB5yUuAM8t1SIB+86LYrbpj3373l60EHe7OTJd9zJKroChwCawKJndgK8NpBOHgOHjouNOreWtGL4g0vG4cIAz9vHMu3SmZq4cR4yc1ytl6t8CHB6e65/EzJcJ3xh7ylXAPJNvNjl64DRXwGAmxjgQX1YkJH3W6lUd6etxO4pKk7YcTK8CX1FrNTNnZ2dtA8ay/lZIPfig2j3sWt0VD4D84WEpnBTw4m8NjNbgl+pnQr+MHuCh6HB+QrxggcoAH51ro5sJ71wFUsKrTkfW3IBXZzKHGLT1yxP1gZvIoYywmed+Sdhk7sNgfdQM9jrRbP3WCbTIgpIqR2fKEosL8GQ5jwCJnv/1tqyeRedBXJE/xI1NztfOwuY7Hf5epWCe6ibg4dO/munn+lj0s+A5ARwpERfrkvUaMFzzjssCoNih4DKsYZc55y4BTldG9ZWa9RFTAMj+BvZsclBPZnooF2IlW3QpTI+kG/+kzLrDfl9OwMULqovquS5hb8EfzDOD80PDx/veZluHMYVY3rFwNnqWDeA9YAGNVedEU9MjDFZTC5tCXPTgdyfl+hYTs5chwCTI8M/aUzbEq7azq84rSzNnZOlssNUlyW7An9/6NhMW5/Ux6f542DFzAdQE5/AH1vgbt8CxBhIRi0ua/zW4+pzBR8Aqx7z1h5QSH7Cclp1GIjdawbV3FN7Ce02yDpkc1v1gaj3b37lmppbRw/mo9+74XYdzUWTr5OBe7qobG/DRDM5+RBCaq1AD/vHHg1UDzp5MD/yV9IBNHDgbLpzDaL2r8sJOohGn4OcKB2JB4LeHRb197x7W+SOL/tyBb/+Az2gpI87BZe7rvh8YodiG7ingq6qDPYuSFXmu05R+QfS3bbCpmAkvP9jcAhz+MHfigLli8NsmR0yS3s5hX99Y9LvomrxweUos0lHAsYTKK7eL+chR+XrnrcKlE94BX2MV/XlCHP4UbfgAW3S59Qf882jV2ZSkOY6Uyz9J8NfM43Bo36yO2TRmbfdbI027Kc3EmuFovgE2mpQeo5RNIQ+kANw5JINs60jNXIcu0TopNXy29k0v9CK7ZrV39Kq00f+NAx9VNx8rl+Smf6QEPPrbx9HPBhMXMoiBlo4T+BgrEYVrJqZVzz/XzLK/qfv3Qe2L0ZlKs+3oSguA1FI/MhsVgB1T+I4MG80Nt7ZZSCaOGtO7+ppVwG3+rt/4VOyPd8ybR+2Ez7JHXfH885C8cEjQAF8jEfi6tlwaU9tUHIHv1S530gUDSpM+xOcCzjbHgINTCwEn5z9GLwriJewvYPlQQRxf/c/3Ug22pB9J+/eabHGUOiriffpIF8BXPXtiW3PDt4w2uAy0Lmx0Zp2pLSmuYDN5keu5FmpMFw1nVFv8fPPKJVwBB7vTzRq4xG+N2T6FeC2pzopugveRl0zEUSEmIfp5AV6cVuC7Mwtin5O4VYsto3cLPHN1gLi1hzVmkXUX8DtCAP7L/WNyXmvMmg746lJYl0cV+G+e8jwNCGM9mrufvmbzlLndo+zGNgHPVoUjSVwO2D65mjrYbCkW2q9XCfOupr5b9t4hs5tc9cjJLHkAH5dBHPYyN3wmzEbSlnAWfntvnWOAPgDHbSTsQmE36IhiDhg63y88KOHdMogKx5zDGfu6VyJ55dXZVn4oO5yVg4eEI5+YHBPsTeX+fdZ6vAHevUg3przzOBbvvuzbA7AfpwMmp15/n7oZzsfXvd4aTQVCagvOcYQHOjRtGb3qO3rwFYhFY8YX2N9w5UhdOK844KCniOBQRHwLPPPOhb2iEb4mXL3f62cPkRrrpqkDwAJWE54C5ZZL7FYhIqloVmTRk5ndQh3w6f/8SgrxSp567xtsw63B7ipXQ7zjY9V74wFiHHCcMW3Zs7TUoKzfOarbrJt/qM0Wvo0PiiPTW52oDu2IydkviZcKLyytNeAOnTOTa1m0k9gx+GDTgwBn3Bp1oX3NOToq6m+zBe1LB+JsN+dcm3kezVvTyeifNEdkehP49YSaDzL4SRXZAvC0wfUbmjc/3OSX2w5wphaCFs9CAAbk5Hvvci8BE6hyfq5FvEqtmwf+MVV5aNdBDFiZ+KVAbwzg4Z4HlWjOuNcNcWIN2Mvcge9Yx9lh+bJY9sdOYJ2Ag69UrxwOPN5wdRJgeH/pKn2xjF57Yf1ZVdzUEPxZid5o3gL+s2LYB/VewxVEKAinTVAOu2c5jAjWoyzhzGf0XRvpfZSt/Cjy8Z4uyJKMNCT3c9nZD9V5r/p7vJmOwFNG5szgG7CbWGN3ComFHdKIyPPed+ZpZ/AhSetWn8vtxTa6NKV9sU4c8HokGeytBfFzI9hsenT8TMPZ6cYudbkkLuAHlweJVitiN6ajEEC9qf1We6lxdmT/+kTe92zV0Pyw7uGWIvZJN56xkKbWA/weAd7QXWtEIOpxmgTIIW2jqcYJDkfMgeODza1O0RhWi6mJgXgxwPkD35FaONpbRCrRPWBPP355ynPaJbk/Vzq1jW/lIgQOygvM+S2lWGQWwoCfHGwZbZjUqYd4gljtUfblJRxrGk7fWZ9aaZ44p1A2nK1NLXlWbbXRsze85VenneoRuBC869CcRR4XZJBPytT5yACjtPqTRraNz5O9t7zPDHhb3cskewKOXPyP/2znfspetdbPuidJHSC72ky3yh3jJIpXSbZ+3zk0pV24hMeeWtCMt7GfOqZeEf/Q/jIDrnpC+HuIbg754j8LBpwl1FSEHMkQH1j0BQxn/AbbEGoL526zvqvt7i4DPNVCLgT5mbKsN19OBW8+JA8XMwsqiciQIJTtbZlIuzG6xEvJ4wjb6JJsu+W01RBzb3Ydemkd+J9VG3+SgZj7tju2wM+wJsl6/MSu0chRFgE/TSz0q+tIW9NnHnOwvx3E5SyLSEaf63PZq9H0Bh3BcEhUzHtn5VBnjOEUoxOCmJYXFtFYZgOHWN8cMuBsOJqY7AoPLxzwA1plAk2wv+87cwE+iHBnTGk4H4jwBq71f32Gciej9Qa45k+1BVy1NNtM8LLoH+4x79yEysHkUdRm+k7szi356B7ZbPJKl3+aTs0n6dJV+b+ZXK2KSFCy1Z2A/aSsc4CjgY/kP+kSA68Y7TLUwFdXj9MWyTpoPrP+5h7FHw9wSfHqdWuBQ+u/wM/YAjwCQySwqz7OZMc8OHuHJEf8HVMqnbgiInOiR1aIWBYUd2m33tTLzqUmt2jppsym1sx1TsI1rcVqruzCq0NE057H5j6jpvLI3dATmz+OyscF8H2pgrg7OIBNu927R/XniOTIBv+xd3iRUP2qmVBifvUzV/Y4VUa/VUM8dNEZnrPlzroDPCfVVupy0McTm74Fl7s05750/ngZA664RfgYcFxpfuU9f3M9VmtkJ67+fMX4zntwx2uqLUl5RMTBNfd9fseNZouId3Rp5ioC/DIQwP+pdTBa8bnvUmtNZUQ+9o46mryBBF6rtqZuzAP/Ob/xoYujAiJa4ilrjViLgJNMPGsJYNOxZBaxaqri47ZZlR3ZZhEGTP0FcYAvJ+BxZr4Uobs5c5BTmbtnxwPnNfrg2zfgpwJisWtGf7XujxXFkkXxd2bmTpoM4wJYZumsIzez0Hzz/+009808oaUMSFF2uiVbfjMakTWcqazlF9Epv3SaVNr4KEwvc/uaQbRLz1NfL+qt4e8wx14B7tyBXy1w/zC6ThoQoiuHYiVfdwrknrRwgF6zBtYlQYALu/mgXG1mjtoEzhJgzB1Z/M/D61nlilt4pdxxSkKITdHvGnIazUNN2T3tJgSxUB/sncOQdk+hh4DfRIwRlLmvegAkNrcncLinOk+FqXsACGV6b/CrZwH539ixPEXRmXTNRBd0A+4wSfTWq5x68JuHVNiO2vKBW+hY5fqRMhQeBd8ZLlW1ymhvLMbfp1QaLAUGDj6vB0uk8Q64ksldX04oJhmwdIgBbaUvM3DjjLfKKMW9fe+P2BaW6L0l7eYZuPszdZHRjLSTAbHa9AJm630S6VRZ8zesKU8i+Hst5THiDrP02fh902tIreQqOcoLODRgV6YXV3Adc9Nb+46VrCNDiXbzMUg8wM3+3sV52n894NUe1OS9AfOVmxv4Ug8fo/hIwtkm//IrLWvxiI0e3EDGMvzjga1+Fo40NReAOUZegGWYWVlvP184PKnyvwusq6lRhxjbmH6wM4swYEQF/qu+8k5h4EM51n9fuFcMMRatwdgrj1jrWLpNj63JP1jrBnePK0ehA3h1Al91+3+1dJqfU8ts1scHiHcP1sV9Gewe8Nnf2UsbSoNnx2ca2uATxw1lBcSpP/d6MbNod1ccoSlxUrtqm5DBKefZ7Z7A85qZyjXd2ex/dZVu8vxjycHo8RNgIrFTtmo8aeynvQpU+9ejzvzqMS4t5pnfNbp2gHU+TsP4VDSdja7pwSLgvXSowK+ZOSjMaaxCMDMDbznSd7/5dEkGwF/sYnSoDkY/Oe3/rKg9mpmfm3SQpg9+TKLQrphntAKf3JZO0aZXHjWNAM4skc4Nb+WAW5Uw93DzMdk2YRbaPQtxS9D4q6XDltrmkbSz4etZ09BSXfN92gB/NhV47c4rRfcsHeRyhH5O0epJo/VFBAVwMHSvnPWoOtMZvt6pFvynZU8mDlLOXdp7Zl640Xh83wNcTM/kialv0ceTiHBS2Yi8zkvkFbWZ5UyNPut6APyZ8Whl7x2Jcbb+pIABqAV2MPhGd9HwY7tskyveQkzNm4aGMS8G1CoXv3GvU9n4o+wt2KsOfDffVb2taf7lsABYs0t+gLv8cCodJvAH+CZZW9MVfFrAw8vjXz3bxWJD3MC6pQIRr2KmB6E29wRGUzL+P/NuPmQgNeDDRxaNK5zXC1niu4qaIaVGr3UMqtbfAmqPylAdsyVOilY5B/drYcDT8HZnH/Ma8EDyBI4GnJ/Ye5sLwCVXTImsAR3VVvyeTeDtF3xWAf5Rg+l3AF9Nm6cIDIdAwGE94OWhhXP1TUK+56EqgC8ElTPvlT1+yOg192cA/L9TAXBTl1iJo3ZETEYzqAHu9G1Sxm/cy+3wWdF4S7nOj7n8xkMNXNeak05CfEKBWniEGZm4q+GLkdGhI9QB7q7N7JTLveoQAU7XUTiPmGrP9OsJ4OaJ83gIhn1T8/nfdyUJUwXgKwcLL6mBD0pmyyxCGfAv8K/ek/XMqgKSl723khY+Q9w+V9E4Ukc3GWARBraeslcPK8raLw8j8Kdh/M21PCQWvANbves3Pite2yKME9zKhwin7LhFgM1hVc39F+KisOWV5gipbXdV59vVPCdt+URQ83OwQkuGPHvdg1Ef3inOEzbnFPADMXpofTOX/a9W8CcP0aUaeHsK1T3RGs7k5QG4HgN3CKoOzocAbmDJmW3WknapBb8L+FnPRe7fSjMzowtXWXSxjdpCjRrgC75fhjun6JCpaV5hO/7tlTb5KxXWL604eG/wg6lX9pglYjIzkyIzC8zUekPcu4BtJ8DvKQ6bZe9KgZ/rQ2J09xGXNYpFYgP+tXms3CbItr4Fvht4G373jEijlwG/e5Vm4qn2n1lHjsSsv+BHpWUieOJk/eNKuTK6xXvAxsFLp6yb4mMOjM/xblWEPhOhh2O4DgnYdfLCI8rH3dcVcNJbQ7LDzgxnNbbg/EQCfHmJfI+F6oUjD86/Oe2FWz8Ekm45gD+EVc1eMx+QC1j0mzq8BP+Vp1yaiysznXoR53Uoo/hROBMtHPWu4VwlA+YHO96/MRYBl5+6fomF/ijOU1l1628aQgxe/JRstS/b5lqGxJdb/JTUzARS+XGzPp6M7siA7fJlP+uY9o970QJGHX5r2k1x7CXZTBNE6l3RKVkhSYEPLIWZY+H6j9rF29NQ3+tAF2b2FRdzBtjlA55vKYVuaTdfOJderckMjKs4AV+Gc1pm7V+jcvOsI+9XF0va8Yax+CND/g7Y7o1sxySzITZFjeBCh7ib/Yz+nflWfafO1AAez+u8EQlvxGFJbNZJQMDomhpeFM1t7czX2rnYMtoZXabPMrL/x5fdYqkicEZI3YF3W+APEwoEsOTGvrlXOvbIt9wHfr+SAfkpYTWTpVsdgX5w4Pj10Hl8QAUBX2VqTFhvPxOu7wkir/njzLLf+9VLBB43mmk67LxqiHPSdXMd7OaibxYq/s36ALvZpqafGWmdAZc4WM0ZbGLHrDVgMPRdufqYtN1dhvFP1c+GYwGpQ6LiMjGzUt/cgbtxj/v1N3Hld9k3UdXrRkWd0cBxM5ccC9u/QPx3Kh0aX3fj4W151TJG4Ket9aKQpmWkt2SrCIm8HbFlWQOH5ZqELPxaKWt8/uINgF+1gM9i6R3OwvGlDTDIEmK5m4rmwiIlZN+QUxAfk/7x3C+xJ0Lgq9wHXjIe4BnbU5TMJJzaMkeXkhOrsGA9XPxZ5Zc7cOt3vc1NCe+QcWl0BMuksy/SId8nGgcYJXYtbKMDHhaMkJKZeyP5wygHnhR3pcM5HppVYXkx/LnNhETUxg8Wgd9s5dXo8zLmmZqR/19Nu/KzDkUn0RhNp0cp1jGw+CPpJswGBByrGWhewHsjWgqbg91f6rZhJ+7H8O5uzfDCQhRIS16Bh9nAicIjb+yDdXsqV/0fXZHUOop54v34pKGeMorTzLJt5sRP4Gngj9C1BNKWAH9OlnRJOvRTRsSR4UgOLu+TsGG0i02O+Cdrm55AbE9tNO5d/qO69e0Urd++d8fpX1PT5WKNvKorgAfySxIBBrU8cUJjDIx3Yaa+P5z30mjQIv8J3DLDAQr2duGYmZGAkeHMj5NaYpIM8vjC9wvOMfpyIM6+ecoeMBQAJ74/hpelAl4EGLGTW9kngGNPpm532D1hPRMW4Eb04ZJaxOiULwL5UjreVTk2O6J4LG3AInZolW5iCeoP4KcJ7LPRpXjj+VagyxPOtlUPI1It/q77cAYMBOsaW/vn5BTC9NkBdm/J7Zh3Rr83rsFe1BAfMkS2mKHriWOZMh4L8XUXgexf/rHXwG3rJ7XGyxvPU/hu8CubyvaBw2tfbcNn1idmNsut6FFfucn8r4bJ6Db/8eC/q9iOHwe36ep/PZJxCnjwZGKTyQZn07eKrOdpC/v76v0L3/zrfGR2gMPpQSNNC7ApGc1TslUHo+eQiC/bzMyFNT4cA53VeexROEdH1IxJSO5lGwL2VJ5c0Fk6sSaUAVZUKOkB79mX5dTuntwhb9zbQPz6AC8FWCt+gk3t62EHXAWQl9ZhZY/AfdCnWXvcmhoKLLMguUvROeqfHgfhTAoIqBnm5AL8yVGOteI9YbTvwKq00bJ448Om7OcRbHYuo3mbndc94GeI2zrklj2nXL16p09h0/GQ3zP+5Z3620qJaWLWGJvev709/hzzZqrEOjgsOyfbqrTqp1XRTy9tHeAP735z+58tkwcZdJZ2Y8BCfqu7JsVIt+Q1L082BfWbsuPnLJKGvzvm/gI4XiFaDPF7HKRbe5mY7hylD8CW173DM+BW9qlff/AAvc/ySF3iqcj+hlgIaCU+Ag581ekRgdvTVn0SO7ya2rBCywkwi08tVFKruKadvSJG34qxB+C3SVL/gyPsJ1yZnpuwtvCTDSl873tO8WTyY3eF5LPcTB/YMvOl4dki4Eman0+dak5bPtdb3GBBsrILvcMSzqmrNgnVGeDgzzpUl7q3lwpwV9WbHmkNyFLDZ70G5KwAd7xj5Xdm66VYXmtkZmOC/zP6U4D9c73UW/AYYbwVNI5E5yHYnwecMU/mYO/dzOS2WGqO98Ugw6zXwAv8Bxej6dU5l53dmPqUuv3VqkrNnDiy9Ysk4CvR4T4V9i0RDU+FNxRW+Cg1vtW2fsLe/3BLd7Ijpnb3TIcvW3FV4Ijvyq1yzV1rpgGDMbZkELwAcv8ox+uY9dtHH1aDbJU2PUeohPjYV2DbYP8W4CXA+uRitLDgcwKJSKB6fQB+Z+2tcajdzi5Nj2U/lhVwkdSRfrUFH9xDDDL3cJHSh0V9U/Ge2XrzqnDa4ed0A+xdZgi1J046hlIXB00Ktt0Urn+n3fpfr7vj3U9bcjAxowRMCdhxPNiSmj77SiCIubAcEKGJuWNZlE4G01ek33cOTjWgJ0UoSCJlg++9l66OATubOU6c2qqUaDdTlDxSFgfw35C6JEuytTB6vQdHFriXHG/97wQQD/Bbt2AYOFz6oOf1AfD5XIj1O68HvFBPKbz3qcNDqpsdYzhOzSyNAdaPkZZw/wYxB/wzEeCn/ulo5d0DsHieCILLANyuDVjgX21xkkWYQ5wsa65utdWUMvDftrGrls462P5w2o7fwNk+Dy7mdZ6Ar2s0cCRBonkobf8BsXlkW51SR25LHZu6t/NJj6u08156zVm0zssBaYX8T6PPw7fAvfJxVy/6jW2yRKPllK0nPPClHEbws5gQc3eNiJux//QdjO6So39OrFhhZ90KwEzg223g8P9pBTf4mANmCuU1c+KkNFzQWjO8uS0VQm8dsxWNJOfRzQJ+azzuT2r7bkpTh0WXO2n1zzGar8o12lWAd7V+EpHOWbYGfMqsAmI/XzClneK493oaKRfwDOwLX3E7nQV7rOD93rlsysLiAb4YZaEueJ+uwL+tBMUfZk6gjLwL2F8K9mVz13ADvgBag3VSwAhGHzjtVPPxAn4H9i8mqdvEjAFOWsy9shRH+rVivPl528bewVdmw890aFPmnB2sy72MzFlDh8q6OS/b0cBPuvhAAv8G54eWmn+CZZcFBW7Q8c+sb6bSWRPwaRfWkRF85xn8x01RldZt/J79UZatuQsC39KiDOLwvAfeDz4L1VEDdE+NR1Q7tJsyZpMwo6aGQV8riI9VPoqCm94gElTR2syIN9oFGewZ2Kw8gOPYHrfyUbD4fbf8qoM0M00ysR5KhOwsxxsJe5JS4PyhXYJfy8tciUKEd3M/VYkGM6dZQRzdJSJ+ae8Qg9+1umYRu5p5e1nAUWlhqTo51OH6XVeJ1JI6NEJO4cSdyJmxsxsJgb/+02q5VRx2X3i4pJLVLjKYm0JcQgLFF8MrVNg8ZGiPJzEeIH7fBeB4lUtO8u5ZAl8qwAf/9viAXafdOsPwPJUet4Xw+sLdOclWo5r7NqG1x6wGnUyet212WHNeB1JXLdoBRN0ZffMkB65gc7AdAvaOuIpwcerrRxLOA+XyrR0RM839U6gbOKsHwF+FjIwvbqzE4i4J0ldvJvAGXznroxpIr7h8Fj2wXWfWvJX8sMgxFeuw6psc3s1oztF6gO8O17KwSFa7v9rpB/A1Zq6b4f171XntMSIXiIPg420HztzjmK2dF57n5h4ea7AzizoI8141B6tb4RzicK7GFDi4cjUjPT4mDr+c8ovDbePnvHf+yzq12MN8pHiIv8vnlJYinmW43jFnJEZZhbb6BvztAP7VKi3u0657yB6J2o25QIDe3dRo/OuX3pHNgbNMtN7KCbedY9bs/62RbpAMdF5CnEi7KaBsTWhoLxj5LOnnM3fWM3Ck8wk4ZyJ2Lz17nCdP8M3bxJpl2ZKfmiWeCDBPQoj5QWzm2odGp7Kw7A3wwXc921yxy0MOuKGaOApiSmGrqTb6cmZOGBz6k9Hp18AHu9oWArguG33wyR1147Dkl1n1l6sSih2eU18uvOS9PZr5OLWrSmH60SP8qwkP771nyMy8QSilu/sRyQ8iFGBhdE3sdEUtskn/61GoeLKiLXPxEu+ATwN+Te8F7Va1bnLwYXPlrD3MbmA7MjqyxjuGgPsASbzfC0dTKBeMqetnHAEzi2Y4q2tTV9VywECqsx4QY8CPzhT4BwMeCXxpIgdL7dOOmRl81MxUybqVVTkTz3R8Yw7BydbfVuHN5tvf/kpv78SURcQtHP1QPRmrvLbT8xTizbQpudzTzfpW53o2OgbF0NwyNhXcMdOSsDxF4C/sEWIynOsFPc0M+dqxPQIcU4WelsM4VVv/fZa/TX2F0R8q2Z8ncLsjiRQHerNhYh4FSh2hTQ6cINU1ArOpZyGBn12npe4gOqiXDkztEqOF35haMHNvnTg2he8agDsY3Z03/zpQwPawp5hv5Y/UCBNxeYjeuoNdxyryQhaE1yz4up+0OoBdv2o+Vc8LtkBcNLPQuWpPEKdTawoMp3rNEHrNtPhjsw4fBFJvThRhR3Y0It/wO6tXjtwxudp5qRmKS95QxsiQOkYvoPao45l7xYX03ih5vGId2JEDnMT9u1C7cM09WOkSk4vKyIBJaYVXFrDfvhtpxejgyvnUxVdicm1OvOdCxRAfhnJoLLWVT5mToLZUfLCaT8AbEuzvWQWmdos7gF962D8/5dw68vgGz/fCbIAjBEZgy4K/tZ3TE9hmgsInYM+uQq+50rfCjlentvBEToosGvfATcx8gM9j0BQnMd+T/vYAzxiw7rIiQQw7An43vHhHsY4gxi0nCtiaYQj6dl7lZPq1eT5u/2+ONoVYS1zVZc7NEblPazEf5XmCeOTtVa5KAj6GheMKQ8w5BfxqZrO8es8cb497HJueGAaxELjiKln8TRLab5t3T8zU0+C9mY9JUfOEvZmrLe+IjgOKfGTmEpp5LtghIdgj47m8MYHNPdj94ECMovFHFY1B5hhtF/2a28Pt8Zxm05JagNHor45ZSbckNXYqQrnnjFg8qFfw2a658ze6wNSKD+buGewHvms+pPlf87xdPTSFWgA/UNOPyrvKsZ2ay0BaZJsueFP0fFfZl1l08bs2dWv4cDpcVhlXGs7SWLo4zkRqJ138kXQr8LuyBC7TVuBXwI9ejtvxULJ5zzRgju1flw3Atc9TAPtj+psnOMeY2qbu3Dcz9iRY8btWxGS57soeo1KQtGYMOO24Lx3NClfuylcupn7U2vjZ+oHZ7nHkiHNbNwmcdWMbcKaQwXU4wIBvauDL+FCjeAW4YTpYcMqH3z7fqAQ2p2gx763JiOa88HoxqLDqZiSG3VW1f6+Cgw+i8QPeyz4FNdgMATwn01M3rk70r+l1gthGENVqPiFu8p9uuSXnjI2v+653TkrA5+LzeildSbGAswF4oARPpii/MYom7CBeaekz4yMDfD5SfjU9jWL70peHOIA2h+c6Ylvg7ai5Mk3G2lk/YeeXwhqp6H5nBpWsf8zC3OWzcTiF4HuHMSLBzquX7q5Ys6pDWRDYr2OkcCK8K2ALPxWvnH3AHb5PBt4CnsxY30SZNS2105g5RIK2f+fMVnvgy784CnyQD9znkiyaA3Y8A6LJa6pNJd4Gd/xGdXOjLZr/5YEaE+uPgip96shAQstOLDOHVPYiAH+Vx2EWWV6lw6faNksm9JyIX12sn8TcuUaTLMx8U0ca/XXTU2gB5oggpnwr4AKnnv9kuvvVECJRbVFX4ZrZQCTN3AB9JT34Qddo7/k+7hqCO6Oorhuw0nfN7QRnIZIOLivLm1gQG93JFQu7aynwTdojl3D2/sWctXcyuj5RYuZgdYmNO2owoZmXGpEH3Y5UbUc7CzpPBTHs4R8rFeCmnF+dCsDA3o/RDIBzDFyrWWU9f1YdLuqIoEqTG/AY69Q17h44BZydgg7NkBjtoi3amf57WLtCLgSTrX5S4FbY5DHFLE+5XzLLvgJWePvDjpuaSzMDC1i02vqdzP/amdEpc3F06qyVzBVWtOGnLrSI43lErHcnMWE4QyV2PC4t6RcdN/X0+8xoHdn+TxZKwTtOGDOalOxXJ5Bx/1lk6xV302vSynNGEU3d9J44hsuO3zxHgIv0TeSxEK1vJxQHYG9ZnfvE4CHCbqtTj+/EJbuMs6cw87azycz5nNngexCX3lo6pn/Lwqa6J49zuvCE9BpnkXcETv8EzPEQGzgrW5yWIQE8j23Zy88Cvt/URZsaNHgPgp/rtoz0D3biW8J5DDxqKfs1+MZ//ZvvO9i0435t4S0NyMLtJstYs+XZZCVaLWYOAuVaVjk+l7nv/3sPCLpi55LN9CSOBp+LOqWRqb1hmK0epk81QRiz5eta980et/57DS2TL6e9PasAfHU+ltgmNzx8XRnj12xpftgQP5k1W3LL4Wf5HngrKaPmyZDBGiYfVj9KICPFkJq+21W1+OeENWBDf+1jNnlV//XOw35UuboV7hidtrKsga8VXIN97EwduOADMZy449G6J1ovpCUpcDsHkGqrrKlPczZXPT+WLdrX9O8TuEWQdciHfzP5hp73U1pvpneO41EJz/Su300O5BSplDC7PQXFHXDrnLThnCF1NOsI35mkgOtKipF0Zo9vkxlY/0uP6BRKVDqdzTts+pnzwtXfBUXfGeCe2vnVdPoxWmM84HMlwJ1EsVd1dpzkwDPQKEiudjxApi8A1nH0y6W+gg+Jzeca3Fm1iVe2cVo7GjBBYzM2OnA+PrIwdLPeaCqA77fmN54/cAc/jltY34BnmTNHxLEbLppPxiU9uHwHXOV6DOdVwhBOuV4SU38WNjfBFIe/f8UgHI0OcLJELsnD1OllgdFHZg+lyTHbjm98uGI9v8sc38s8MfOfFi4S76SL1XEbW6/5XRaXalHHarg4ZTdda5o8qqgxd3hbSf1IheNnFfx1qqFeXrpYnZSUcRe4YA94ZFHdb23PNUFyU5xvgEle+ZdXDkq6qgX+hpRjm3qp8sWx9Fgm/eOxX3wX1shKB3So2WRVFNaFNw/T5wZn/Qh4clatTgFfHhOBLBbyXz2iKjf5KkVSxl93diQnZ9MHeozYvWC2XVNSgh80tYc7wtI5yf+a+5xStrDPpocr72YOlktaZuIt2G1ciBDtUzY1gEuiIv/Np4xVIB02NBviWEZH83XXlTg3u8jj1TFkr5kLZl7KK+fb8ZYZff0+vCZ5eBU6nAlAD4h/qzLHQtrIzFvfJBbwuu7inqJpI9juXbN0hrM/ly7qWGRmmnL/X37SnnEe98kWk8oZgReopUbSzPOD3w0fPEI3iVCEz1OUAu6n+mKfcuC03cPMKjJn9H4K/B+q/+kcv+9SyHPalUGcZlsFOD02ee6WM69NaHcF/OkCT/oW/Qy4Q4vTIDuOZF91I6sXZfrpr4eFOaqPKcTNhG6mQ8ZN1goYKfgR6jyW/XN690lBzLU/EsDDZUCGkjYRZraFgYNUOpbFQgreYynNfUkI3CuA+OwiQI/Az1Fzq8N4nwS+2c/G9A6eEPxk2Jj7MjOnCeKoz+r+PY9+Al+cXKWDJGnTexWtn6ZONLUAuzBM0j55Vn29wjk5MvTX4WIdqH63HKm6JVSuhNEHyNYEeFUp6ctWmoSRuULonop4qG3pp9b47jXjJ5TaACcDaacP2gKP7Nb5f3pQVhLpIukkP9HYTfo/TuWilwYN2MJ2b8VXk/c/inSltLxVwm4TYd+Mvq+5d4J9gM9WiczRb99NEq63GequVY6Kst25tAcMwjwf9zYBHxoXLVg3RXZmy1YMyOLM1OXG1MyfEWJ0kl5HSTRfsoCH4MePnGIGcUfCswLD8EvJf/ukdGp6I7fN9d1/QsFvVAP4TKs5niJ9NjOdVGTNsFapdL9MXimo3Ng/IuKmpvc8kG2STf80TgOjD4t/shZliWhKM9fq/9YR7S14d/vLYQYbLWgo3HgvOn4A7P1kA6GJK7PKwHfOmXLCGXcIgwdyYL/6g9ETieLDweaisB4OFbg1/AbippBmv5l9Sf6n37tUPLm+OFO7u0NcmkskedljwOr/tNKTfmpq4CvUrmc5fLnsde8D+NnUPfTYzLgr6hw9BTV1md5LT7vqyArW4ViLeEsH9M4hMsO9X3bD5UpZaCTMC6tt+BCh961MnX+eOJUVpzSEWAYbBehuKp3QM3V6p5b3GVXAU8FvhRAeWk7MvOOiU7dsqz/A9x+pftd+Ty+9hVLcXnUMgJlKFXm3JJA3bPtGH8Wu3HEnsimGePYNmHUBPveZ9nBmqVoR1FjAtZJM/3fH0GsuB3JVUWrzvHMAi7gEjW8f5Z2iOeJcucA3Dyy076mW94pLlHVaMh5a5SA/ebbe1JbUlMlDscDnRDePIXMXa83p84/RRdkKfrmaOua0Q6jsuCwHDdwBLaLT73wlsDFAy9pn//KsqSWH5Fov+mq0OE9Il5TGiYkBNVefgqsP9Zz2wFC+eY+uXI+3MlIPyvFBAS8t2c6rGLxPn1h1B/4h8hIR2vnve3H1pEiegXO59YCicgDsYvv4GIIdWVoAF+qAjyYVxHYz7xGw+quu6FWH8tYfytY/wCDF3pU3LtATmNgEWHPFGXqSznvfb+wg3sQsL2YGa0jAlxFETK7V9GNtCJwvpo3u/2juGCPpJivA7WnipDPEsDEJzLyz+UbMbAlaeEUXD6ZfAfhUVIfc58HfK/D4t67jVOfNQjfrQhpd/IE9qnC8pouKa+ePpwaCy636hNgdpxr5gJcjaXL4IrkDWnyU2c09dZ4uRJwwi4sT9ffMmZ9mYmSm9TeOjM7pe5aE0d/QLrGaYA/8humvhaIxec+pyDrvCDzrzqLL8xR6qXzpb6CfolWCAXdXlpprsbZgD7eAoVCFjO4jX3jf3Apu7nLwCHj2zWH3qVh5EB98HiJYI/KoeHw7gT+C2Ph95CrJwjEhll0kEf9OevSombILiiX4jzPX/PMUySKzQot3HiHD32vJtP+Kf9ntDtgiB07xrgl8ym6yVKQ2AlhdCsEet02YQiQsWjIz3sx1rwbAahsa2Qv48TQL6lUFOECBjwJ87VLgXvAcz4TNRuHkdmRqLOG8VWHcposErvBbj93XC/8UHbyro+ZMmL6jCXFTi2UDRrNNrdUY1Z0+pnk6c9MXqgELIDwJo7+pecLC2co68FOdnCE+3VlIZBLOZ+AHD/a8PeA8v++xHTM7SoXTIEOdVezxFNxonfKf5Hm7Mwt4L0coZSZf/LXKAGeU+ZjUbG0DxvIBH4jKDVe1KwcRzYJsUaTE2hPDKIVJmzMJIehXC+6lrQi84Ix7bJXOPxzLxPqi+qZlukmzQXJqrYsy4hm2HhBTgNfA+ZW8IbRFHyqcnSP1f3g0H15981T/JF0zUxSv9paZLdS8a+d+SofTOlpn5VZvazjU5YA6npMC+OzCus5Jndn0C91lhMw80Q0O8VznRhtCrVSnDqbvG85rC779whaTO9Y07W5LwiYX4vNAtHrXfl8Bs54Bo5dcv3BqT4IGPBVKihy4X49owpt9vaAuY+iTILzAGoJ9+pQbHUcX3jtbRxKwGmZ4l2j5qIUHvL7wjtmfubCIT/r0vYZTKfSRhZOXMA8lXTqXgfouEWdl/89v8D7OSWR39WB0FNnMXT8ili7B9lxq3eaaebOKxiPm/J46TVZH5MfosMO+hCSqVyz87df7OFi2I9DFhljBasDLgs0mLn8UAxlODGzDjcMMjbRcsNGJLo5h/awiG5zq2uDVuxkgoKJ1UwueEVudAdN/n3LlkIV8kJb/1KH9jilBMTBX0ZiammzywgfAh7nOYF88ackRu+PmaPqWuyYCysfh/Arqfi2qn3W9bRxA6BCP15u9Wxid6SPJx62gEngPu0L8SDDave/Z3ERMO8Zj8w4+Hv6a3oAuHfBG6OaJrfiWIZmoQPfV0NyTaOeAzwcPNm4PbuIeheKFo1seSk+2cVTY/JtZEvApNvOiWm6ZmYdf/1cfGxXAdVlXXFkPPBwwQcHknIVfFt/GjpnBWJs6VxoD90BuakPccHBZW96V5v4F7LNJInnF4JMAez0PdtOoPHTqQF5q4IAZ4u/9csEtPV/z1XJ0MxqEgFeNft7zGH3NNLRx3U+mRnZHaOydcnnPFmK0w3Ke4/HELhYW+pB2E6ft7lmLJjIacLKfw1NAMGHEaBS+9wv4G99VbmPy4THY9ZMtNfzZtmphI+x4r1oP4CfAFeOBdvZ+b6bS534G359m4RxRhMDmUABYaswAu5Y5nFNnZQG2/xFiPf6f78IQ6wjpkKgj+5ktGHC1BC6o2OHVh/jS13NKCucm0k3W/1kKJz4CPpxxy516waTeogI47Yidqc2sefPqR/qvT045fAFbffsNwCX8O3X1DhDxIRHknHTExtb6g+VkTAbT2zr61DI91s2Hqasru/n+yx26GGXhzgG+/cR5YmrOh6L3bDMfU3Jt5nsLiGNv3OueQpIeAzQqZPy0Ohyc3fOYk01hwL+ZeRxgDXhyBejzWffggztkalF34CNJCXgyhVicMrlidtMZzS3OOKm7xqptgot+5bEtD985+mThFpybVuQXh7poLhcfVtErT5Q3ko028HiHCTQo5l0zrS7AJ59E80MGMQY42ifN0Szy2FzUHF7c3ZnczK3nzJUafFAvEX9rO1twRo681a/+u72rE9p7fWJm8y0yFMBXiq64K94teMA30pn7XW+q3eZ22spPHI7lMYhz2Td+uW12kileMdzJHgwdGAeL7FvR1e+znFWhFC8dDSE31NZbuUhYH+SegJtDDH3lhJPWT4CP7BgtIA5jSwjs4dbMvcThaWu0AdOnav1rslkLwBAWD+e+MLypkyWc3/e9aFoGvIf40wpYm1Pf/GTMBj/vfZuahtrifrYFfjPE8Ewh4OX6UQbN538zEAxHuNJw/UFzo3XCcXqe2BHw7wn5ecHHMVmkBFzp/GLRbspPuS5kFF8kcFXD1RKIUWAfpj/f1Ngu0v0vD8T1kNnjg1qw3s/1yMwMvHDuEuqXhTW7YCsFYTOj+u/1FCUrHHwB11FvTXgXWOANztyuOt+cw6LAn4bOCc7L0fAny/R0f81lLhs4p4B97CtwLrMTpo/3AHj9YnJDqe1H3AkNxzykrnztp5k/VVO9qzvvnaO/Fz3mKVPgG9Zz4sB75VizILGp+Zpt4u6XhsHauadtcwa8VyTWiEQO54zZgKlfmlzS1J1XGmdZjyxMOUodvSPisZDnWsB5eM9Qa2Q2CZM75Y7pzeA5RJicBobjNZT06HBCsVe6TWTyflnInif29agsz1FRspQB+Kpeb//xEsCNDBCYc1sk+PBSox1Z4gtBb79xmyGWmPuNDywI8ODd49V/Yuw41G4Z4q7qZWF8M9gpxixmSfv3SQfTuTI/AO9aRkOSuU1G+hHLaPwpTf2e+3c50tBTbEbAWc/vu5Q6x3kNuCrrp1tqci36r52FU8Gp8V28PCEiDHc4sduVwxk1tfSAk+9HbuqcJ9O3fUw2f8y9+Sdd5BMHO0tEY3LcwP4I9ICY+p8W9w38zs4rWgl4A7UkNDMQa4e0yq3sBnyrPtNBUhV1T+miTxXI5oS4D1gZZ4IQ3plabfJMW9lzNq240XiNeGP68gGPl6Zm8CT07Z3XY6hw6o7f6TDa2dafT9l0Tkxun+O7yuMbrAnE37WHh9gugQuXIcKKNyZvKIgLTLG38zrXRofkSUyccHCWsnFT9V4G2Mg7ienNl8F3z8dU643sgDls1XdmjVYhZuD+kic2Ad/3d8UHjotuviTC1CK98IjplrFLxk1O4ANz/xuD/xYsXFF33AOX9gSCf+87i9jknf+6ZrZ+vPR48yY3d5Tw3X6h1ZZa00sLs+5vlnJi7+BKD/exU0VqUYzkypKxqb9Me+8BXNfMwmGY/r1i91+PMmAEmwV/vUynb64XnoYG8BZ2qzy2iKsb2slt6WqStboVUeOLiK+yAbixaBLcfwHGBXLNJisRChfZugEuDRwI8FULGAJsBbiGzVz9qYRNAe/3Av193/fORzEvFayrQIml3OZ1f5iEa/gsVKq88HBuZliBXQDJBlzgSpM76tJ7ygAftj5wnvjT3OFkcAbgXXY1TeYaNYsCzGfy8AyN71w2IZGke2sGn6pvGZOD0VRNWDeTKM6rLVlJC/hyP6JCjHnZx5GiKAL83sD3j3iz5nsXm/nDq6KPCeCVVsC7AQ9DrzpYa3zw9nd+pZ92eJsJLAVVCJ4RcBdh1Kw1H7NKgw/SJD91zSe2yJAOYGVIP176AYBtiFU7heFor5q0xMyY/MwoKUvN333AfcXGN3eYOFt/kh7iaD+ZWcBgtfZnyrDLHeDiFoL4VV+l83WHM/eJI4nABi8m38+AGqmtOlfwY7Udp6nzZyHWvEuQRkzgzcn4O9rslPZ/c6O1g8cqqB/UAb86mN6+CbNW9cXg54mIBfAfkfXK9GjoUxCHhKuPqgfUYKH5FMXisNRPutUzR757DM2zGa3F+lq58VQ7PK2GMX7nAmR/s6uBd6fgVa9xqWz/klB0J1xGtRhvdNitmFBl2iujMXUAv7+rX3k/Gx8cz8+Q0TLgD0AtROqmZ1xFpn+icB4O4OcBL/zdN3pM+rmEc1Ua3RczOwp3f57VSw9b5tnii9JOroANwWYk7KW5J7MPrPc+9w76rEIFuIN/8i4EnCxXBBmOKz0WwnOH6BPiAKdCve83riZXDnF5SqgauX2xT/1sJUOzJx0/w7lciXC8HdwxZBTYFJvGZOv3EEsHwKMtzUdJ7PCZ6Vf99b2kOKM2elTh6l5tpk8xEOBMzfu7jjXY9UuD0ebmntMHPLnwBbXAFY4QO1+5GIitdrU19veq5RcyjINTDjyFNY8jW19MX2IlplUWqB0T3eooyEwXX8LfN4Cd3veiyGgj8Yh8vrSZbb3PTM6Xv/oVi6Qzs1yABNLiDmviEeS3OG8+CnZbYD2SE8UdtvlO9o9rRdG5bsFGwkaDLW0YDV0z29bUCL3Pl2Ax+Hl1LVjzbXAz4MOSOHDe/vWnfIgwtIw+spkSKPvUS5ZklTFv5JQMZsYHtf/a3GrshCmj5Q8+1YN1QDgVpj/dX7D+1UzbmnnvBFz3i/f0r3qIFTezHcX6wMQ6qEN9FZz4Qqgw6+MtZjuHQ0TIOmJ45lWKxNhxz7r1/rDwuW6TB6XxxK0/C6bkTDry9ht2ZRtlztQC73kGPj+Xzro0d197y7IZcIfMiU0tbF92a5wFRsU7vdYh2ARTc7LFAK2VlZ3XgcwbD3jOltqKqMVoE5m6JK4J2Md/37UpcrmtFg2RNQa+Jb9LW38nLnESu1kwW19LpHKjMyKomX8+2xzOO3BTN8v97d7GiFr6SS1rBZ9/rPS4SVn80oIGuxrJVhfJtntj0anWY2Q4bJH732Xvwdmw2zICHtd5D0kJ+ET5DVhmm1Luys0kRRBawHN/KCKPMm8OEPM/JHB63pKkFOtEUfldhWOcAk8oOfqE9XnnsmczF+illxyQ/tQ2O3r+s0CMTwE/31nUtKRF3t4iBTbDqWy9wksDeHL+xqbe3iEUMEpPA7JJWCzBHhDEa0eYqwuD8SIuSqTfOcRnbeO8eE4zHnyLbf8+6PPPckTEAxxi4VYXJYPntMZWCHsuRNOwIR6B+53rSG0hDiAGvFLm2uSHLplNOGCfJ5yp+JWv7pXJg9P/xZQ4kB0WVdfwhMuXRr/B2Kk14aJN7pTiPaDqDvy30ZCak3bngq3vXjOIzPydrkn59tWX+LrnKbompuhiyZakZt6QaMlvLptTZgNW8EtdXwE/WhnD82vOJtVO0cbA2dABcM0PyYz2MuEYqFUxfF0B+ySAdX5OOj6amveC+jngXw6YfZOF1h3ed5QOXtXR+ObL2wqNJWDN76rXPjyPXYZzUQfxj9z6zxpwe9WvWcr9zVGsXPBvn6mZlSBieeL1HWILBTx/LrvGliJ1icsPBj+eQmSd+OV+YvVLl+mNRY32JQ+xhPgDMeJi12A1ZcijNH/dlbnAtFy5EF85Y1j0c2b4mbKaYb8oCJuNb2pmT8jUyIQOAdYgu/FOw8f9iF71i0fVWW+8wXhnCx5OsIdm77+A79pEhs0Mn5GTfnflRmPUQues1ys2YOuYyyh1dcwdXqjBJ6r969ZcIQzvnfZGA8xoEZBPEoYLA75W6He/g9ECvaxSrbpiAKxrZqgMCLDZ7J4izwYukFQm7p5vT9yhezrIO1nQmYWWBxwfOGCc0CXOuYuk0VZnr15c/TC1bBShFbFULNC7l3OCc0P6MrKLU0Cm2sIfpxBwm/NvDmApZo9o/Sxzcisc9aCA19Pn+kbDV+nbQWricws4BI9DiKeAWWykLBSDTzMzLF7aE5Uzvmc9v3TyTyI+UN7Ae5EPrvlFRFOHIaanLdkBLn3goXnCmUCEw/Mv6Ea7+FFGXgfY8wo+7ufU6jPwcOChiBUuWQEXIClt/ISPzam//a9PyjY9vAq+SzN4G16izgbMvVMu6cy86Iz7gD3t+cTjQ9WGFumnc3WegNNKM38o3Nu6ONijxODVIYbsD3Yxi+3Fep031BxScXv3OzwzNhud0zPfxmntXqyac6T6qZd20ycLbvHQLTgarb07Al9FpAL+rlrgrP24ydzwqjodJoA5IGbfVGgDRkH53no4RldPujo/OO+5ZtMl7UhPHcDPWwT/i+2aqpXpieTbZlPqvxZp4yULUEHP0zfrRkn7+Pvg6o0Qq6WM4pvQ48Tcbub/8rjmPkTzbnJSR/1/TF1rc6O6sv1LPEwq/jgEhI2NHIQeoG+AXEOMIMRxbMyvv92e7Zxbu06dPbMTG6R+rCV1r3ZgX0+i/I2H++pj3atYvkAcOOROkBQlvSjlBKbPV4BpHs8J/lfXwN2y5PIJ8ZhDnNsypz9nfPtvfvY/LbhC8j9+5VZXiDk7IeSgPXHe+9Xzux4z3o9lmtWL7rkXxOxUXQtnpkICChTrEHWyNM4eiP541SM/oeZQB7bXX9uyq8XIMsi0s4li+Dz7cuA4r+PC4L22wCtDDTv8vKPno7jDcwMu+eOoIYZ11rvGccsKddcTnNfQlXjGwPrLAGsTGYdKccoW4K/AO6YScBtwhPmK1XDaRz0wvLhY73AecEbkD/jL854oy23vUB5+yWSmrQCPkZPTElni/XnOwwx83HK59YAyrtgiH3o72Sl2jSSbxmNbkdB+53Z7vHNkqIez6Kn2NM9wjqCfOpKT+OlfGjWjk5Ryh2yxJrAZ/jrIE2ofMPaJ/uRlG1SO44ihm9jQbRiYQeW4PxAbV//ZAjERYKmRge/fPJXEPsQLmo0h4IJ+BbjveUb0DvEOGLa1wBHBxq0QIh1FjD2rATsqiWewQzuCn/nhgasugpx8ObytvyngJbHYmd/XmiUkabGGzoZfRv29Gy5RT+8j422w88yzRnoxUffZDq+BOaXATQnkQXqurHbbkiwccJOyKT/25gQ2/cMW8y0EDXPUqrB6zLHmozRYg5HmPANERr6N1DgH4CLvl4zaP3O7+a1b1s0ivKPtbtJLe1NSWGfAHjy8ov01Si/tqfJU9McX8SUFTvSSL/huq9nAeh2lDCE3MlGmATx90jpdCDa4lwn9OaDWFc6lGmPvF7P16wRwWnK08iBFMO+9S/3oFxrkgZ50xUbpAVrtgbcseUm6nWeTBnBh6z6w6KqINc0A2+lFDnjfVdwvX5U0d4ixufRs2DjkafNXwH113pOoWNI5S1arzHsN9PDq1QrnT7izGMn2X20CGfEMvYA8I531kg3GAtr8apTb1Zs0BYx0KmQXSn+603jdC2IeOgKm/+1R/cFaaub2AfNJovjWA97AVFQ5rF87EOe0GEzQ8L831IXnJJwZT/tq+QuxgRZM0e2B24mLdBJcvjQRcBeuca5ZVUCu1ZuuUr195sqyAV7OYlIzICzwNQfmprVJzDkvpz3geAnc41MuFPbGfDVR93Ig4UtWMiUgD1cO+F5kvMJZuZAoRxaxT7zXAu6mcsBbSgAO6uPfOgf1sf5B7VM6sln6lIP9zdhzihqtRsTYr13KkwHb7/wKYvRxY7MjQU3daQW889y6ev+4wyItnud/wndHlT9d2hMBu2NftRc8+9q+iyT4LJzL3WymnVJUctvP2dua/NPYCmxxMluaSFLHrxD/0xvkwrBJ2llxsEk5fWVO954l8jvbkDRzTIB1bhCj9pBHN7Uin4BvnrahjMN8bbeod1TUG0bzQSuJ95pkWpmB3LRjR+FCbIbfryDe1KXcaWX/6fQsXa3K7sKKyydf/mmWAJ44iBF4tahm7A/n8ep3tg79WFcFB14LaweYgdaRjAubLsKSqwaci2cvlFsJdvgO+VQdFHnXo+5gfYbaImclcS6lEqcOsFMaZgIwmdQvdbKWjdd58HPP/ZK53wGvj4GjWl872b0d0h59gGPdqHLlcbRda62SagK/rQJqSaLdcJT9f7aw6V4y0ZXwONfGu3Dg0h3kFm6GFfab33GSy7M2lY5klrDUBcTFYiTdIQFs7RDaCMoyZ+1J9ek3/feKK8JrbtJ/WttpB5hwQT1k4EGAbei7cKaI9RMx/Yx9PWc2uN/AqfpK/W++g0omqnrId6d+yfr1V7NgvR4DP7QHwDC3ljDOewfw4YxFbfeDkl9CAW+LLzhvtMuGGWeaEalcv3Hiu/YZk56zagVBnRWZqd+6ZZxl6QCW/AC/hPXazpBF94fSPOvAPK5cDrlw0wo2GNEVezeH/DkNhbcNdKmH4kTKLF7HMjIV8PxNwe3GxMCiwdcPSmMN7m+czyJToC5xMayvda917UDs4WBHm+6OsVUk02Ti9ZZGwKscyIeDW4r4r3+IzWHnswDrSRvH/sCeCuFR8D19ayOcN/3tAz4IsjF+1jmk2jPAv1ZBY8PbAXIPLUMHYve56lmN8yiYFwdHoVF/uMy8tDID+4ZosnrUDJ668BBV7t7vXho3/DpscCZqNYNdfRjPddTb+gd46LPnUWjwUanMNlcyZCXYlYoDo9bA97FuP5ubZH2C6Ij3H2CbD33Iz2McQFxafwB/PUtX3lvPvlQ4O85bb1oF+y6CuAJiKofpUi3keSf1mF0PXOBco+43YUWu3E8dmZ/MYT9HEcC+/+tDhL3wc0Uys2EacurXccMu9ZB+tsJeHxihR03etZWJ/eGD7Tln37lNgaO6z7rllRDTnRNzqdRlgn+Pa/5nYd5vXOilmIYDMRPEjdgsf5d2g/3zcg8c61bHwSKToIbvewP+vqmcuaD39SBG+8MGGYN/QozVvz3FuUcI5LhUoh7sUnmZi7VB7p7K7lCITz8HDy986gFHhT3/c6NJev6vpmJpy7CkXvCGs/yOvXvn4MtSrRlgaeyDW4pFLBBvnjklaXya4JxysaRutnQbyM8d2CnNwJ9yD2ueWPUfnrgxyDni7TLibEv4TmWU3TPnc4E8NaA2XM77KwUeYPzpuwDsSmMWFv/jX/Df9KbwxLXwUh9yYQix+J27XWhc81UBxxDwu4A7/81SlO2sffJdxBfU6Pfz/+5TIPYD/1gD09AxxLnbY/4N1gPbCmeiP2dJhE1J7rW0OXzPUC16EaL74AK1OKVsSyaoMlfm5Q6QO0V7NraAVQuPLsJPB1x3BXkhE99L1adb8PW5csTMvDRXDz3JbNFcPLENrfzwZJLVuej/0+CHlayBG+7cP75U2dIOU/LQxnEn1Wz6634RQVGmslbVQhetarBUiMtBNWqmHfLFpP3CORjM07vMZfL/zQF3aFQFlXhdFDdVVf6da8Dtx1N4gbjgSZud22EtCqz/f9j4p0PL7kvEWxco5iStsRBnIK9RwK3bW4M6/B+vSyWnmQH/aB3rU/F7VhlBlHMbiFNmI3zJ07F2e5f6f1Y4z7lJ7KKHjhSufOglFY96U8JzGX4y9zEb+HoQJkVNcdT3QgydAe7PAEfzhc0QTzKNq/1fPNQi1Vk5lbulPcMeWcCTK7DxsibpWGwAMzhxIP1UUIJzYFEXBvL1RqcH1fXMJbVOHA81pBnOGjhhDSjqh6fv2ZhynBPV+OR5tlwWg45hz24NQKK9B1gCnh1yPN41h+zf/Lwrapq0Qwc5IsBZYgzet4Q9v4NNnOmC9WCf18YxX8ckXdho3McZoGSzFqzOLHnef+3+q/OasuUPxOQJ8oETqGGKca4ZLdNtfYo9wDVnwJipOZENK8kKvlcYL90oOUH+n66tzTBfxWJYR5Cv94XaQi5qffjoq070/Rf32nTiY7gAvr0dS3JSIy2r3h4Yzhq2Uh9Hkz/ub3AWHGCSGucrlpCjePjBxz/nY0kdwMcp4JLwGLOlLu1XZVOv8uZzURLeOr/9DmADl37vb69HGcaHWGP9zsgHVzSR/jTEIhdcAZYJFNbXjCFy3lOx+RsAN2SSYz2rBC66RW3i8rhJ56oke9S9Bdw75t58p972d9ZYFrNzVVxm4DYD590XAy7QJK8z2OS/2ZkJ0zSmlwxiEvBR1STd/aFP1KcJc759OgRODlylcgLwXx1Vau0znO/nWsiFJNsvhD7PNwwn18dcMZFdNe8yVVw48Oq33LMHrcw33pVCfJjb4nKXAvKGr6uahxCL5Q3refnbGnBAeKb3ywFiYbfHGRfP+7Ehd6T3qw8wZoObFpHxG786ZyeyB1tKjjx1KwWxCPudBojDpXTFcPGbeHXLEqMKS/G+38e7k1q5fTV0Fs9dUSsCcAJtAUv901oMFNvYZ+w9iAR7ouB5yzTBWhaIExgzmCE0OapqVfVT3UIUQx/Afu98IERJOVY+/N5JCkNCwI9a4qxH7Tje3rldhWcvVRkCWiU8U89aYqy3ITXYTyk3qPlMaTHqg5bhC41dKe32MavvUa/hTl90SEnrdjvASFfA7TONA+wJo0eblor8vVYiuB5VF+C5JhOANwf3om3+xL2POewmIj8Qbz+UMlg7ghO6AFuFH4Vyb2xhKjtJv7XmAzyGSd/smW809opgvJIyfYOcU0JOD2vX4L2OA/jhvU1IkZ1swPrLs255Tzdkgvh+rYvLFThbAVwhxDlKKllvcgs26lMtSux9Wr/JDSuAm4+QP1aiJ3vqBCXwiRLiI2rVAnYyKz1kN6z7Mv/wJdixfvYgDE3CVtwLTs0C2Nu5fBwU8jitxP31nnmBBjy4HCHH7hbzwj39Aja+F6oDgtIVwGn2sjQ8S769YiG3FvCldrpDXaar1gmwhvPlELPn+YbDh3lpx9gV8auP09+EqzMZQwyJqVT9dtYu/YBcgDNpKrmZPqgL3NknAdhmlCWPs809FybiqEHowBoNemfEeqks3qeZvIiyZ67sWe++AZf+4IOzMl5wzqK0hhg81Ik5VFxj30B44NldcnhuR6+Af05NTFU1plW7dJ9ZD7houCB3D1GHHzWQ6GLfDGE3Ncwb5obPeyKI4/JEy08fdReorw+FzzhzsH6LdODnN7DpG2KU1plXYD+AqbWvYlnuXAP4TyeoNwo5C+NqaeRngDMOYa9pDnjZkK7UTvrsd7gdB/KWOfNODR1kX3Kqo7TLVTeCnXzm3uWNR3Jz5OGq+Hefhf1H+C597Wrd+oAX5UR0BC4HHleU8gKeCLnMvIke0JmUb/+vJysyBPJQ8bocgcPmo37Pe5ccY3lBbFf7FHiwhBgglepfZ/p2yVlEOt7jOTbbg+/c1fj3Dlh3p3q64qTbmYV+Vv3lx7hhuvPcTie/Gq37Qwx0t5fnxrcrnqSe9uxKgW8DYvJ4n+4hRqzUqCl1LNg+LbMljKU71ccEOFpvABv8vWn1OYM1+uADp7r/ewULO9dYpw0xFGzpiUUl5LV7XYpV7tsZ1jLHWdsyTgvmzTu8Ry0evX/O3MSdlrG5mg2hD22U3tXqMUNerHjvvhxPENccZz7Gzu2YxLNOwPNdwLBqeuavQG3IKIju4F0YI/KrHVPsTQyaPiCZYJdWkbPxP93Ckz9czKk8mfiwMdjPohTE0v2iL7laR4hxdgtN2rL7kCebAxdYHYdgC9zzv5kL3zfqmRBy7lT7XYd3FP966C514RL4rFRoyE/IY9qk8ppT5wBPY8D9PONOu1YBWQCKrdTUNaPstHPZUUIY1uwB9t2wHvV30/P/ag/WYc3puxmCG3DxoCX2LBOsab/4LLlYKbrzUVr8rBiw4ZUlgNfjdDr2bC5695aJ1xv49ZKNhGTgrXKRWFcbqUS/NPzP3Npf25gOJeOmNNtjZHhRbl3+sQ4rP/2pcbbiow/RVO2mncH34AX0R5OYNyP0icXk0FpSFXh/JdayktqpF433hBtKpnLvazyjncBH8t/7ZSuvGQ/38Dl7CXiNO6vVv/kawlPEgD1rBr9XU8AO//SY15qSLipE8Em5hDwZeNJLh9bSnvIuN9HfVb2w9yz668syXuGe/LeGSxPJrvAg/sYzYzGlgOtkMYZvbd8pwJR7XrKAlSZ++AvE/PYUhsWQnqr/3UF9Q9zSAKVcnLeD+pSATbRJgr6OWlf68lmLNcJ6+AbsDTCga+Jg1vbPyqjPM0W9K7Gaj8Pk800LvEUnKtaYgzuJM8g8MlCpDziztY06xzjr7KjWBYvnRJYdYDjpVF4Q14Q+76QKVeqf1n6e2difpaSo07Np+zhgYs30sL23EOvM0PpYs04V6ehwCQvBNMTGPBeAra29A7YEXAI51fs8H0/6oWd/VBJwbOjo6FlzC1g0pu9HS2N16q/ZBnKXoFcVpef8FBJYn8I8fGC+8T67IceBeJsdkglwdXzLiLzRHnVlJmmk3rQJ6yuHXQrO5hr4Fc4RbB33WQPzY5QWJp4G6oeOKsNH/TT83ovw2ZRJxIB/V/D8F9mLG/hnrBfAqgQ4V8S2zSDftUPHTFinGCXjcQd/TlmzkRX9eJ2x3146vzNAVY6oW/yrDW6HtMQzhGL4nh8z4ntdQqRxVFKd5Zi+sL69aYjT/BRDTHBWWYKautWsT5QBx30zJTwRz6+5s/7M4vVNDDNwnP+d2xhL5M4nZSY6t/XpD/jijx7oG1PxCjAiAexl1Qa4V1zdD5sOcnp6NbJyK6BpVYn1ouTaqHmoTvQCGJtn3KyUWs25cxlzx35nyeWpO+fko7zSk7xTpTMqPlds83elxef1odkwVgFgwH3hAvzxt7MQgHN9eldRuMoIO8mSlMdYJxnpbuL059b8b38/pHOxrXLTavydr/fJ5QRx3XwfxBy2G83pifK61/va04spp/rwtk5bb+3/00+uFrAvrFcJ4OdibsO9lLp41LyUn9jH+H5UqyuPWEEJU61I4TPos68tfGgNgL3AO8PndedskAehbjem2GzEfAJ/wveqqaRBFqfhPz02uYf1rI+c9BzwJNYF5YAXGp8Ge8/GLAIgKwjO6TvXzq9/jVTGN0m6LXfceu8EAeDiuzz98Y/YuxXLLBslzljgYpNiz3cGcSQVODd8kT31/j5qQKnzupjkMa8yz0/AL0v2nalqkZsuaUj4zJW0BS7RDOseMPjX0YYdcNShUqulLZnHBfZU4twxkwsJ6yzltuhR89OSfDCbvXfBOY80U2vA7xYwyPRjeH9tB93Dz89FFM7GMc/vwr8L22LtVi69Moh/1JlVrWxR9POn4uSOuki5S4G7SkJL1h0H9t2KKa29NWAkxwHStaIuMCU3DDlvVzKBHOWsYddpCTxtBMz/jBtj3ZPzzgtmsZm+915naRl7hQ/2q1gH8fu94HJFfVlVPoEckV2Za7s6STOjZpajJijv5lzQyRCyBxzvZREVjTMVlbgtudt9A+d/nmP/r88msUEzzIdWMa8hesfF9Am8FGPIRRFNgQt1wImUOVU4GXYBnJNosAVOwuV/sTqo4X3iQ2ne0Z4p1h2dzLMuZSNcSOKRzRjkBOCDznHQ5wMJ34yvxWEzQWxKfxAPZT3qQ9mJlXSGz6kBhwOOXE9N1D36HY5RZw+kS7hDV7geyDFYYt+FevryZcj/aVgT4Keq3aTAl8HuF/2292ZViMtdW3KBvBtTN3QatwfMJRfjpiuauJg7y3zR1THuNlz8dcSQvu8ceXtouZRTqXnom+R/XE/6JKmW3AFf5bVHvioL8fQUeiLeom7H0Cp9oWLNGbxDPeDZSn7TySv2FPk8hnUi9t349E3IjkFcOdcyrfMReANnH82/vu4nh3VYD9wMNSoi2ymhR2Yn+PuwYlznsgzBbuhbLr4XwC9e0feLjqdUyuz2e34vIR57N8+Mf6/Az3Pg//o4oua12e2Ak7Ekfd4TfReid8BeDw3JcB7s486eDeuFWVNXqqsZYMfcDUmTBClXJubeatZl6LLEjY3Kg0rMCva11P0U5sV62/Tbm46teMxhiEIGmOG3RjpTMig8y43MA2AoOS/WgDWnF7D7H+PNqFU1Vjx1pUsh3ugQZ9Ie5RS3fevnsvOkuMQFap0L4pglu3PCKtiXdz7gGdP2/j99gO8AuDnbeZcrxM9U3C+3tkxLnMlJcV7N2E1qY265BI7y0LpMX47KSJ5QD/LhdFDkdhDuZzWaVUOmD01oWrm9VzipV8TuvgE+fwC28syVUhovK23eis7LnflmFjEflbiqwfrZKd0DPnlp8Fx6sBbiNJ7d21ro60P7dOhC7klfk/6eCe3sFxpVjsuOH5cvPupTDX9uxfp5Von1aZ3Z5DMvIXZFehB+mPz23o6srmz6Bev4aTzAKsJSpVKICa5oI82bKD4fBODkqNsCl4mks9aZHwdFElw08BvBhdf2v/PNmXhoLcrbsZc54MFEOyQE6JeYBfUnKlcl/ZmR6Z0J4+oI56ToD8FTjw86Y56pCk50k0w7EYtAK+xJxHO3WcDbrmAPQz5M5W+cd+as4eaFeS7JYqz9ttd21C5qWLae+6gnNYiNNqzG3jHgZxHWJR/5Hy9fwgLsTOaCTNivDlw20H56147lOz8EXE4Exo//vutUC7yjof+rQU/SQJB+lt7syJF8Ap8veS/uLTFosx9a0WsLXEMIXYN9ZsBZv7N+PVfikrajGVvCXoTt3tuo99WjHvdZ63j5aKwRymYr1pONKDsu1LTSj96INT+i3ny8BnKUTjs3XDVCS13qlRGvWH+XoPaiEq/A6/4ugOXqluuh6ju/6B+1xf/Vs/Xz0+bFhsX18HoWEWry/1nhnSL4+w8VEL9cei8A7psea07ty2MGFMS32k2x5jSqXM2a0dxoacNC6e2jpwfjBtbvuNN8UJ2qxvBZExhpK27A0V6km0L+dbDeQlXe5ZLZLsl7izMtVjXgArZAbLxfPMMhJti0An56A7MELKKvDZe1ieeA8+6eqclt+okWYGPAF0PI7c960ZUZbVWcwovwWLd3yZ0i/4lTv3DcBHDVB87QYOISZRHjEAMmqWLgmAHOvAP7TG3r0re6n/esf/hIoge3E6iVB7kV8E2nxl+t4HcmQ1X1BvCqTllC9tiHqYZPD3jDFbXFYd8Bg5Hz3nn1DhAvgOHEcmnvjUN2uXch4CNYKwLZLsU7RsD7JAFucwEcSllEGd3Y593N4cjTF91Dihrcc8arxQw5zvHatgP9aQntapekDx1vtfWLmIxZcTkVH5cXE/+9M8fVqBvOFWpqUA44bEVHG1cK4oMgBwaMGbUy//uuLx7ba4b1uP/01zZaaX+P81P9P44ZqzOV6bdwq5uRnd8k3Y72emrGVDWL7Yq+WuE9a+O59+ZtPRW+FBnf+jJhlfHxzh/P6tJn/ooMxNcism8mvjCIA4cimezOWwXmRCbjXQB7PjQ7YsAcjj6RKiNToWON2mIfekC9yQs3JPymww3yhC4O4vXOneAri6UPWIcU7t/5Ny9bC58HsRXgkUiCd+AwGvUtmUPG/KEHJVGX+MBPgMRHm3OVuYDxU8BlGzms76ZnNeSglJ008BCGff0lcPMV7L3mJ0KKDXmei9ojKkcu4WnvuCVDXS1BeYEzmxJ2efq29MC0RLBkg7tDJXCIl6Mmdp8llnK/8msRQBzF+UGfK4qzE4YgFx45i/90B59xgy5kEHF7B7sPqGM23EtfuMdy4IhZFs+nygE+Gulbi3OWhjXWaGJfwUpbM+aP+dg6gu+vs0QEmRMUpgwDowjTI/DOGOdzdM/3Ejx2S4hhKu9lkrutt/cIQ51tc2Kfra18bcM4tznOPvkwcXqXBO/wJVHAHSTkuQbw22FjrTmJpSE0BOtYPe5S5V+HL3gvLn/vl7WwGFsU8M1OYh+zl98Mj+dD1J6NreZqgLibxG47BFv5iH/uqk4mwNPhqVWTV3lY9wd7AViSflxWR/G5aBmmmTNfwbQ/6Cn8rRVpsSeE0PExA0ZB7izDfRZtvTaZ79JSIhKcE+PcMs+5G2ft0/4CsRUwTES/Wj/V1SDvsNZd7ZOpBf8EJv2JtQdiAewtGZ5/PHt8vo0DOUqmX8KRu5wDLlfsLsatK3pDwRY+io+1t1vSycS3FT2RAOJm91/e3uyWbFWVEMOc+CrwvKa0X6gbrV3UC0nhnUQgvWetyLd75GFYlwTnKZ8bh5aKs1KowGcnw3QUWrCdQ4Ga9tiH6KYMfKfPHPMulcE+kqEaXj0Wy3fg1TPz6b6F3dwtzKUkRM21M4/k8zyK5A+uZw/HIf3kgux5SbmBtchkdc498D2RdsDBz7myYQZ+lS0MfnaCvOnKo8S5WhPwLfajI/pvPnY8+/Tje66lQT3cb57IZ64MjUPhSapbi9rpm+kGsYHk2BtpKfCE9KYGQH04Y9fr/t0/c7mreJfIZPoGnKoAsyb0vgYMc/mqBvJRLB0BnpPWvgFuRGRhn32IF+wPOh024SfwoaXm7VJs6Eez0DdumSqSS4n3Xbm0wN9S9q9HSwMjohn49pcc5lILiMUl6uoYsK9+1boSOLc+ybKb6ziAmPS8awM+7poJz9MrZ35jv/3KlWsSo40kNRtcVy4ypmN3AdznZn3Q55aV3AWueuqvzRjaRqyrxg8h98mvI9dEC5e2m083P6XvkAOfGlxXVWrgbNs7XyTq4b1gDaoe5HgE3Iuz6A9yO9eDOFeQz6gIPqvBnmlJ0tw3Obdg51aWx481zcbPVVOmdxG1AUctqqS6ZsCA9Mk87zhis3T5fvnrP+Yg4P8kCc3Q1W0/P/RduUINf405fVMk5kyHtG8/1nLnpaXBuc1qLfI++IQcfMgHt5L97VYrw/euhowmv+tBP2PUIJT7X2/Yt98meUB9VuJsVxPFdwm/eLQsOWzMC9ZMNCVJNFYZJeLcom6q3+V58X07jtMqc9Id4OtQEMAJROdNJIGzvAJv75/3sFVN6KR63fPHXSb2ARPgxLBGo3lvROy08i9gP2fVeFNSjduglnrPIHbnNu0Eaa+oH1lx9sRo360NS8CsfqOmC/ZXHBPyO79SlvIb8lGZu2R/UGmm7V8fcqAAe9g2sXHAX0MWgz0KmeydzBMDRY3yk4lJXvHWb4k8H8p0byBHZG47iyV9azfku8D6EofgfJbnuc1dOOt9AXvdeOsL5GshpAwzeNZ2Y4FHfgf7Rdo26cpqYMwkOOeShYAXcZbmfu+k75XHzly55DGfGfBow62HcyK4CPyd+zmD7z95ZUeH4J77zAG8fFcDu9EYudalNCd7q/zPc+FW3n7RToVndI9aEvYBuNnRZAJOz76PyWM2JmRci3rnjthom6lv76jInHnr2zEyT+5QYn0nPZmo6vULj1d+4YqFDq8r5nR3wOyF7M3YxJdMRrpjkWUF5MLct4lWPfxs67Ziyov+MYtvpyJSAr475YqGsL9bwMzTofytPfDZIkusx6rVXHMV/JuJEadvgMMd3TMg969LBlwEZ/VJq3eF023BLt9xZoZU4Ksl/cqHNc2tuZjSZsx5dVXcOq2axwY1Xxf73K9Qv70utZLA4SB2Y29XnK54jHOS5UkPl1qV2Z2eqCuEyxTky2qE6LJARi7ZKr+vRcVJ34798pgFQqboIHXXnuwJfu4b4loImPLZN4qzukLhkCXnXW18WqkoPGRqvj90sMS8ks4s8pLGmRseCvWN575eFpEbULweNSSxpyfDM9divZVgc3VJpRZZQAc3gncrmdVPzc/Z9HJ5nLOoqQSbSpirD8hFMmDvrSfPOfZSeyKoN+wuo1TXhC16w3Tek3eN5xI99gpCHurnr0Nsc626G4RqtxYEctIK8M1vD8KPIeybDXi/10FUAbt3gZv23Sh6rAs12SEBn/MAa5X2AjYaAkeQLc5VHdMa+yxEj7Mr8MzPXBj2E9zXyUHMd8S/uYd9F1P1PFs+4tyeUr63ZPKNDIf245LjuWzr97P22Xc2mG/mo+6mPewAbQDfDqTKEQOPgFcro+wV8vFwhDySjWRRI2AuEt5lmZ1VZA6Zb541gRArLjGg3KH+uPTAdRJAmoAEJsRneE5zLRZzby3kNecb3kW6lVhL4BnAecnvDBN4voQKsskXWQEek0qtgr0HuR3W15Ts92y5iCnO/b6afh2rPljwvkQ7873CMzkSRsbZPs9o58KlwMtT1IrYZlY64kRe8Ky/QY1KPBvraXyEnHQ8dXkF2BjilI93n7939Evm7dyJ1vA2WP99UKQCDimkAzHJZaeC6HfgXEXjp70WswBMy7Ul5eMcJ165x013gCXfoJZCXlwqHU9T4VQetcCvh7njPnn2w7otlwPYVNhKwGMDc/7VMJmxjrpMxtiTGm700iW0nw+AUoYC7BBYWn2I3ZqOpNx7n6u6FzeemOjYz6ikXMI6/sB3XmUEyID0zxppWQyvgKPYFvY3aUvW8VFusnI7qxJn9kKeKqsFcOAdeGLIku2KO+sPLhyccxpwZ3bAm74zT2vMIdwFG92ww96H2FsS8GkyAgJwnvewECN2x8QdDWl96tk3PQTVIWYVtxPgSjMZFzX5uxrnRoBN75rFTJiXdTl9NWN8rl0gwWJ1K+KJ5MBJxf3yU3ETS9RI9LuyKeXz7qY08eTBmmGtqVOI73sL3LsRjP+7jxKrOobnURpwBgn33rzNbTzvnLTg5Z8Z8Qi16U14XdBY/Z55c9KMErgIpVky3QHHVajN/bxry3ka1IPlTMkoc2A9LfEKD/XaQvA541Fx4fykZ4j1wHcvS+ump6bPnRbybcZtoDZSg50852czLegbXaj3mCcFVFv86txehr23PVMh7VGlm4x0XgHcph1SWZ0q/yimCfz4/cD75TGPGW8/e8hbEjiUy3aQyzcFKpwIg7URWyG6ib1dQpm4O5pAinDAUu6X39lVwBHhy1kCuQSTcpgl2F8AmEito8aZpnZMDzqS10Ns6qzvXFT5la5xDwJ4DfClbOx9cQo5HWVtuKyp7a/mpA+AiS6VMNvMcZ7xkOAOyuUv3jHd21KslILMCzgPcsqhdrqVPP09Fx7O6J7c3KN+5sX+kZgbFfG5iNdF7tw8yOuVVCSGtXmRDqXM/XQb7Hz17Wejfme2pvJErNoA3nDoN7zjZ9XngXaCE99MGKfdo5ARFd155wAn5uGHKqkueIf9e+/AxStaXCKuUk8Q9naICQ7Nwh5zPxc4D9pM3NXP841J2wp+Dp7Xkjdpp5/67fUGvn5r49XMhnzGezrjsHOR3M6y77bGkUyUxuUDFTVJD8DrsP9sX6vbCuwlrMS8VbDu+TABZtcYXZ/n2FvIH4Cv5vfW0Xif+5YNvQ8504q48xkA7r13OWWRPfNifWPOXNOIVMcYuN9Cu6PowBcCyGGkhlydc7Um+hR7gOPejGo9NYZp7szPO0TbAIbKl7TQcX+DnwnzMWSAz+DvydhanOUBuKKcBGC0m7ayYDIloneBt8R4vuxDLhl0b/HcIG37oG4cd9j7etd8rA+Aqfp2IU/+BTAauHU5zTphX61nNsBHUJ8yyvu5k70IIE8XuaTveG8iuHYKCJhy6U68n15a1CFHHXen6wBv9wZrZx02KNLttDAvqM+aDZenLjHDPAu4L2oUEDfU2lvsRx13E3wOg3x7ERGLMsw5xdrhDhGHZJ2bOLigDp3qyWzI5GUf6w+NM/6sdnLHjO3gOjRq78xnn2DlT9u40qgLa3FzGeA5xplU8TdgIvDLsXfBVkbY2xE1FABT0La0RW5D2twvHt3oQHASMpndsrFzDm+XHPgu5MPtHbDEB1VpSn0TcCmf91+fwmGkhvBJh+lDjXj+Q4CXkMdcO41a4CS+Ms/mh4gCRpIH7dmucTr8b1Ut3BHwAqzL5avtwVoiKVDD3KD+qiBv//ZW/ta0F0MQGmUy2OEBcNSujd2d2bDFvK0BEFZX7bRXQbZXDfGgcYkGDLPHeZ3caqHj2IE/fxelngsvvVEuFogjK4gtDvbt4Ey3nZc9eQrwOOvzpMP5IzhP6q3h/XXvUPiZADID7BGX+4PQslbk45iYH6Moq92O5KXZAt4jlHRD3ZsvOkJO4SxsnHQDfn8Av3zT3oSaoE//mmvHvjVOe6+GNjCQ4YXt3sAuCz5m99YBbD7MPhW2RA0Ao9Y37dDQkE6jTp1w7MROyFLNpfLkAfDHF2C0TKpppiP4ywCYK5ZPrXvAL/YqAWs1JPzBu0PYX83jtFOAeSsZina0e7CtfaFeAYUY+O50f5B4RiMnYOFFNdIqF8ABBD2jfryAOFN4EwPOeIB1IhBTnr78Il3gOWB3wLvTRtgJ59Xnyo3B77zj4B6ANyZVzz4AEd9Nr3/299dbcTIB2NHMfbBFv2Na2pxZe2OChhz4MQSm1cM2TvYivPXTNlKqOpptUog/nZ+PLaxpBrHl83q08gfPFtTmE7BBOrDY7Dj24xXr6aDoqrbiyj35pU7aQrylR4vaSe1SO4GSpUEN9VBw+yIX9rxfZnrAnCM18IMQcCz8hgEfkRCHZY99LK20de1NfLfYqu7BjiD2Gg980rdZIVxdl9NUu/lZldqpPRuDH4Q8nl6aeOvunN4r3F+8AbgQULtnx1zKrYmrRZ2kWyypWyjrASv6UqP8YPD9bUzi3Etf9k6na1cDuqP7Qpg7rNm9AY7RyOmzkTIWIiU6rs6tgv2KcDbkr4bkQQK+A2wXAofUtU2vdEzLSkw3iFkhxK6ujkyv1GWHfimjsNs7ZoB/yt399ZyVmqqPNTymltgZXQ9dlnmdykqaZzhbPiZeDjj7eeZAB1ZnPpkLxOJiqoHTheDDNyncuga/pr1b5GIGG7O71lt/CfH3nEly4mLmYOOVluFXvWnPSk5BFqUxxPA32ndnGgkX/GXz/+6/PoAPXMEO7wxzaGIncWLAbQCvSVYY5d4Z3851Yvy8lxT1Krn46+UnVqHOQB3bS32iL9pxAoibIcOeOcCJjzoHSMCAizZZ/KuLZeuE4nn/tVmohbU/08SmgEe/pTKikOwbckly/Fhjnes7l/pLvq2/8wG1fkWQKevIMXwTfQc5ll2B3w+QY681t3Hl0DmX6eUQhc9eMyrlRIuhe2/ciXFBiI7SoS1JpgbEDLYzgsbGC0o5XCbwH6qSSQJOrTMJOWwg08673XI/rOrh7wL7DP4JzzqSn523ve4g/qlEP883bgb8QCVsgNxyqjwt1WA2qOdx3EwM7D9QQudgh34NPLMq00Q6F8rAn6p+HfFIA6+H/KqwL4e8H6J+1ZQTxBGwq+LVO7ytP5tY/tYscT+dC86CrKfbY0wKzrEP2PxUfn5rnflU9d1HDugd+9oKxwVfvgw0Th3sbj9s7J2NlP+HmwjisEMJax27jvCCkxIsp+4v/0oPZXwHvk2YmyrmXWzlTlvdg6940z73ZY9zIJXN7gq403Ew5Bi3gUCMrQAnuZDPfMSm1q0leTMiDmqX3SBuJDh7AXVuId88+wLeDPjksZeRduHZPJOxUocQF4d6AZ8d1p+6JMAQ2iVzO9Hc10qP2uOjwTv7JLf/NKzrJJUS+42Um8Ba26q3//bNgbwd/Z7pfRS9PvBkjoDDvIg+GM3SDWJD3toYkGBkLrTsJODrC3wv9mBNudCnvW9tDRyNAedC/l85jldv0ov5h1UD5sO7f6wdeK6yHZ96sN8r407f0oM8SdrgOGRL4abAF7uXyqbLHjU9RXphOGsddao9fQVbYNzSfeVc8Kyt4Bucn8HSLJlXXKQx2MWJx5ahzeH8PchDz/uUDXCEUYzbBfDklsWSZCK4AB6SOOcCtfeoN3W5mN5ztwpUL4t8sQXkpjSTxi0SO+dCjmKwEeN/AuPKCeJELfz2luNcBEUYH9PnGj7mYR8SBrtAbjSe3kSs3xHD8YSegX9UmR/e897GwGEj4D5vByFx3u6bOMU+5G2fuSRgnrxnEANqyH/AjXQT23Tv6ZdiDG9Ff3tiUZdvYk+UzMX6iYMKIjriuSv2UpLk0fsSx3f47FjY3IH8D3jc3R2SKSgiu6I4p8YxXBXrggMegdwFxJBejmLeAWYHfm0mpv7+nmM3KnAgXEiIJ8DR5C1zxIJ1DrC2L5QzunfAl5HPQp4FPBPC/39BrD9T1EF0UryfOmv56VTw3ykBH+5JUTj/sG1lO6kd9lzDqSip30iC8wU+G4yfkbUQ898zxHalVniPgn2XxQDgoyeqGDu/2aRSYw8f3rX22BcI3yFNDb67ArR2BmzMpVj73AJPIKZ/3hMB7gzqOAXUYz8LwIHg7xuIA2+QB0dWttdik0LMAf4iGGPx+l3iGVfZffHEVW38j0uYgbrAjRLI3chdgNe6XcGrsxlTwOW/vZw+rJMnBjeuxhB1sSfmZIFKbE5jcqAO5tiugnX5KnzLxDCXUvSA4SX443Sltg2aJbw2ZfiW2bAyowZfXKcHrlf5Y6ZLB+v5nG9+cbiaw4OUZ1iHfT7+WcCu37But0hWDqzJLHxCca4p4EDC+/UOMGGUO+uIet9BAftTxDhPy7qqB38e0w3sxf4oDc/9asY6XzyXfsbDo7hM6mR32nZLZQlqcIWFG8aNs0Z+QIWYqVjYO+y1evRSSIJ6gxX4+o3xflV7c57ZHvwp3eBZLfowO1UO4CCcu3tqB/rUgQHsNLuZY4OmT6+5ipdmZLrCe9Z40kfAYMAhcE8SMWxnJS55zQEdk2lflCGVC1aFks/qRBQ7GQV+ci3u66Ad5VL4OuVqurbFr9ZHhXgAbPSmY0JRzUzIMOR9ag8bzZoN7IObUkmmTeZ93oCriQMxqSip5P6kgTvdCuCPe88dKAF/Aq7ZKtZDbvIhfiWc98CGf3NlomHN2IbwtpQ47whsNg4ah2jADRUrsYefJOCndTV0O+BoL61Kd21/eQMejjpKVA0zBXs4ZErm4MMEeGLBI7nLkptTAP4wC3vWpYRF4toGkAike8Cp7EItAX8KaBbpUvUurEYoUCccOGSkfRseRbACvw1Rt6JQPaBaGwkbDipOfawfYCfs33UzY7uAxjNhTvDEokKreQsx6FMR8kmJDXP3kXsy2gentsydRq17nI5UqfmjHdiHIX/mJslvgLO/K/XttsPK1X3vHDafAVvSDHDCIR+C/aO3SfXnxppnP2zUkvSbu7EDfp/ul/4MsU0ADI0hPo47b7rA2s4QL0VB/iyVZ632ui94/lsjIF6VpoMYmdYKZ4EbRxWXJHfcyCS3K+qqgK287R32vMuOsSY2syaQHhshZ6JuaQ52SY/xRTeWYd7e5MP6re7TMfdonPMQMIH+Ae63ZDHGv64Qvi2FR+b6lML6pbeM6BWHDPCoPxK/2ukvOadDFpGZb0ha9MEW8umAc3SBg0X1v1qgD6Hs+2ETRszrz5DflBavgcF5Dhu6FbxTtdBbyOlhdvobZMPq1kSaA1M7Z1GIfPmJbSRyQyMqnDu9bcQ64/CEtdPVOTdeVcoLzsaAOPhx7NeoncgemkLO91UReTi8fQeHkv40/p/VMU5VDp/2wIAQmVtveze+pK3T/c6HbR3Iu4stjbiIopd14XdvbZQCfkpx7TcG3g1i1V5ZAjEDZwcFJdjNvi4rPL8lQsS34+bPGfKl33h/r0Uiu3aT/mQRncBcT8fy9/4rOg7TD+DvATAFO8Tply5NlMs/N8CWqVR4zyBfAJ8qbju2d3XAS3qQ3CiIJdHO1Qdwli/D+7tRwOMc5tYbExnn029cegbs4RXAHJ5nKdLBGcvGBQ56MDG8V/G6aoa1ZBuwiySgRTl9M4iBVT+lzfB6hfweYkOWcbrdoZSfmaO/6t49HGPp56e/YBF/5uPH66LBgBATFNFvz+N3s5E51rQD/woBT90aR28Eal0REexdwIEeQW2EGfBTDlwfCJvcN64hECfTurhkkC8njHGGd8Cd20UusmhEWpsofC82nchOv/M45uOwflc8/ILY84U6TDqqblnCDrAXmuG5m2ALHzoIUxNrYH+0wNkkBjJJ9wJrxOA9VpVKx6aXQ+3puxzInS5yhlyP8xLfWfR7tgxr4L5TaYojD9/x/AJwmtSJcKXz8J0PAbG7ecQ/IDKCLGwJdQ5+WiucXUch/lvSuOmlEZewjXLgvoAfnc47JG5QgH3nTvA8732vegD3WOeqHncUgC872drcp4M4K576gAQuWT9fqrHzClgjGqUp5MmVtBjL2xl83T+URuY+SbGHMHfknPcaeDVgLcDZZvOs07t0wpn3lbfeQ4xOdQ/77DnnA+8+Ida+V45bt71b/2I0fxuIMT63458r9XG8QPpC1SXSMj3lXL+bkz1lyeUNT/by4QLxVx64556e5zbHXt9YfFGtTKkSiPXDGHIlRHmGmiQjJ5ODdgyf9VOQv9e9l+4yb3WFOObnVrqylHvmkIjGq1nF1awJeMoIOduVBeQN7NuOf3PK0B3UaOxBsqtx07wZurN0cw85Zg3v2jifDuS+Q66CEXDArkYNCUefat6FHM2fpBN3iaMAkjAEmkLXTeJ+yWHNMlgbyK1POxxz8Tm33EyVY7DH6lr46U3F9AR5Ue988wWc+C4B0VVOmteRnqgL7+kapVDjOjEvgMOLzP28akUQh114D3soOqEiiXf+4JPp86yy0yPatcS5zQ+sp1FHcjNtIPR95R4Tjad/mjE8HJJ8xdSFF2V+A1f+ZkMwA4e/asSrnrNIMFudpDvaXwYOcQmwFPbeXg9R+rT5UDjpi/ZmCdy7BJ5+56SLtec6WKOtE1awk/0Buwoz9eBfkLsgUsO6HyHvMwG5GWMzgJTamyozzMz4ej7EEvIue2G9qeD3f3WxsL8H1uPC/A74cOo0PN0yjN+QV2GNXPgnEwnGOHjO0aD+S8i4KXSkfyrLSuC/rnnMwrHIQ10tCfb5MYF3EBz1g+STw37SMVRNbzJNOviMEPiDHZhPmeJ/VpnsMC5TofKlVa+AH/+ctWd03s+FiQMB2FEAZhDMWZMmhjVQTBdLB/g8ADRlrmJIv3fO5Yk3iI6ED7lnrBPqHDcdjpnA/MaBn4xtrz/YJk00cPEiJhuzpJudC3kp6sY6Jq5wp1ENr7disDGeP+NZWWUnhzkXv/bW82FjSyXt05dfjqh/Li6oYdKbPvbpKf2EuH9oF33VS/eyc1rvmLhl461dMZAI/a/g4ZtUlxclUaOQhln8vao33SfnVnHv87534jN/ew2OJyuOpz/POJ/Jt3UIPPnGPy6fYDfTAXgBrB18RnYG3Az8ykTZmHZstC/FCWJXIhOGeD5mKzlO+4NI3SzBTGdeiniyTEJOQ78DXEtlfC8E/dUXzXpdsJ6UrbQZ86VobPrWCqxRsItRbmVOnbfz1iXElzD3zVyhxrqUOymwPkI6deLOkE/cI5ep8dO0HknaqtapLfUA0458+dVpD5n69Bo1Qz5aZ0Z8ug1gR4yZtcI+OIZaeYPiJlFl+A429nM8sTc9zIPpZ5wpqto+n1lyUcADCeC5EfdLo0a2TRPgxDGsxxMD+JATYlPG/gMHiezOFuvm5VTzgQCfdZe2nD6UiiGHul80mRCv/9Q91rh0VxWxoS67d/3x7fD4MziS6lZE3bxzukBy6zFvhVq/2ZNXqvhyZf6nQ53XFT+lS5bMiP1PBQ54gnxC+y44qm5iyXqqCQ0PMSlqf/qhnJ6bUdyOchqlr6Pcc6/gXzfhrV8aZ36rIwgkllhV/m9Olhqw3pNkSgTf9clmOPvafOD8C7OVSVceCUlgffyqePXrsfKE4zK9oE4pyVki/ePgbhs/XOVKpgz8Lle6ri15M/50ZvizY/fbJ5XFdMC5kWIkSm20q6O/3uPO5RSedo4FjmyG44km2cCA6wdSRGF6kJN7kH9vO1862XApit5djljHlaQHtgA29u1So6aHYz9V7D7rbUo1AFeT01UKktWcfLYjcfICOC/Zumq4LXpo74B1tsceOB+3ObzXPvMN6prFRZyvKKEBjympld0Cf8Uk8567JOIOcGKcp9r/1qameN9jSLfwnhyMYNVRhiQXr6sD5JJC0QPiDS4m7BX6Bix9PgoNucC8Fz3D+1YCazkaqavamZwseQ1UqVcySXHOC85b/uR++Iy9pbRmC9h3Ocb6nC3GLUrdM8cCJw53rXK3dZK6h026Q92g3LFxizpPkry1/ayN//fOeMqBn6OOMdVlt+G9G1cD+JHz7zzWJOviN6cMJMuHx1015E30HxEIBXkV7CmTLBWedfnYJaxfrQ7cuAdOI/P2PRc2dQq5vVXcbiHPvOmEjIcyvNQKtrO/XTMB+B17+Nzt74ynxs0WzjvLYvqSRfAcjh1k2ZV7sCGlujeg6Rrwhs5laHlULTuP+QfyGRieB2JjLU3WK1WmOeCIrYG0C5+1ak5/rwLsVCVrpkX1vK+sIN/CdzEHvisGm0sBrwdtnJK87F6AO/vAvc9yZF5RApKIH2d6su5tKEnKqc/2gFXHDHAIoLZFJN1eiInmC/V2/ucV8EK+9+Vzv1bHpPsEPJ7Ujgs+3RXHxLw1joQ1f9Tu5MKfThn2a8Q0gjWaII6fZa/pcbghb5ePc20vXto+uwNXJ7SnXYU9917AK979CODETzsErIQAGnDk+sX0bFW5j754QDdhoE+sq4egA57r1sDblUo/8a5JWl1BnNV66L6FlYW2VrY8XCpYQ7DzTS7cournUyv1F+3d5/0X3qOmgK8pXt/y4fPW2FDvXfKGugbSqxasq9372CMekkrMEnWA+OCmEMcIi9ozJ/kK9nLJB0PlAL8c/b1zN2THHvwyIVzLX21Mbj5eb8xC7naJOCY2zJLJ1ZtwEFy/AH9ZDpDzDA97iCX0APtRA39sPIJn2F21yC/IVwVwsIDZP/diY3t20l3h2njvzR5EtLnZ/M4ArYWavzIXa/utAkw+ioR9As4LaSTubDN95YNwRI99PuScD9NsBrrNEkObJF5lKvBqrwfONe3bDeCnt3Ut4ukqeIj4L5PJlLH4tzfwB943gOfd5VgLtJCqFWD/99eVdLSqCeSLhYVaMOAm8lAQ4PyCQF5k9XFjAWtuFzO4nVHdGfAI+v6oxfbWYj/JqBcZ2492mJ88JUOesfe1u7+/XiG+x8KSbT1273s/9zPU/fy45FnyCXiFvFMxKdk7QZPooSjpCHxjJQA3S5svqHWOZ5R8pGWr1tfW712WzFYAHnlyIg55Vokp5ZsQ8vKlMgkt9sCZZCw/MqBhqGVclOyWnXBWW4xzjZfKBx8GbAbveBFSl23ZVW0pr2qc4paEu7wPNP1ADZJ83nv6eaZ3O8jtAvsJdhOMwAXABrY39fYKz5l+0KFbQX7fVsUl0BvAECXpwRfPhkvU+O/k28XVgEeYeOC8ISszlw2ENRvjVG6XgK2qqtfPu7b7zmF3bs28v3+7jUsSjXNsXIiPeNdzIrHmf4O8NG+QTyAzkqhR2ikc8qa91MlsCHmgS00ZRnlJLgVYgXAqr45tD/wl1JDzgfU/cW8sRO4DBwVSFkIYtVsB8Qf2Ocml9Y2DPdkZao8cDHnksTejKGAQgXPOD5Vvds0pc3ZLfFdcf8jSAtbufOC2IfAUyLBmyYbgWesIcb8bM1jnI0nPMgplCzxRbIBzq0ddECAuHZtE1xlqoDj0G+sDqoXSY5+GwE9uR+Weqvv6rdiQrEUdv/v6Ryp5qrzukJVYk/F7NwrcFnWO7RdgWdSn3mqc+eW4GnJnxDyZtX2a45kSrCGBnPh+iNlZchnoJJCoIsIG1wN8umQluWc2PQE/AE4j8G4gq4Y0U5vnjKeL3/RUQswFLNcx5N5C2RD7UfaOWR03gA1Hssp8WMdx66shTcUmjc0IMdX25xp8L+/TL8iVWg5BUthO4/kwHwzsjdnv/N6vVfC8G30vShMiL+c4U52EkBdSXyUrnG2ngK9dped2YDPbvJQjcIwvtOGmnyTOVm1cq7OeOmJg0iydVFgL1Ntbljge+NClIRRQ6fpZ5wCY1abMmUeIJ7py07AAvtX4Js5VGleC9Yp3A/YK5KU+G0s2jXj1uGT3RqYJXzDHTJXw3EcvoHGCkA/piaGeYdLdTIT8uXvGw56V0zd1gVb3uI+pMIDT5TC9A8dktWe+ZJ869OMb+/M4xMur9i63x7yo2HSAmxjESYuzmCBd5MLqqPk/pq5su1Flyf4Sg/CyHgszCYmUSXKAfANSqxAkCMuyBr6+I1RHvv3Q63adsksiiWHvjIgdJbGaodsTi6Iu+ANs8YU3nvU3yJwbeBe73OlGFQ9LwcgdbAF4anQij7Wppk7Cs1gKeJk2oU3DyK+cNdhpqopy/jiMqsrAfptFF0WSppqD/ZY+xNH1Si+/vY7/eq0XfcQ9HbRY96KkEAMyj0V/FwnsBzAj1jTwDqiT5nTXsX3DHu7cnXMWiR82gN2PoZVPOkR+r22D9SQO+QF1UwPAJ6+7lEBZ1OWubwpOTyIIPeVADpuwBqjMXogBMKdDpjk4jCdPGf1fj9ltqeBkAQPabTTYHPPqFH222G/cU9RTqURkStwrxNzf3jlHY3fIMPeA++97gTPA0eVgNldVfD9ISetmmqea0yvg2OTASLmPKOqX+XvhK8rXDwk4KeeXDz3AH4f1XlvztHP/3jjTJePwvDx9cQcJeW3MButOxpkfhnuIs0ngB0dg91/Ik7SVuTnqCA3etQjtoLHeHxVqeUW0YkuUoNZfIb07YSYhYURZAjh6Oi0cd7qJ1K34764xi4frL7GoWRkKmFi/1QH5VsN6wF0nPCFvDaQhlpAeuERZBGrLAgUYUl1ZNDwI8B4qsVc0DRXWtES0aUrxrJEWMl1qhy6Fc/vdn5KJ6i5j3LkVuRx3cAKWppJ8gW0hV/pgx7Wn0SdGVUOcd+n4vqC2H84SE8fGOSncTYL10B3FnhNnjXuXCbzvsAn8t4P81YFJ9kFqQZ7b0+P7nXHls3gN8Q+wkaMTxuHdSvVohygXknLgmUHL0nvu3C+Kd2/68f4QEI/AdrLn3we+X0isia+3RblZaefyhvs2/vusQlnhDTBAcTDpteaDwxy6rSEPklHYW+vvCtB7wLmSh3jtiOM6KHgaN0JlMk4HFRrg+ua7HbqSR/TROpEvUI85XLk0RN0fb1OM3QtvbCs+h5WghoW3e5aoz0zqR7OknzUnWduLsZpI8s/OUuDR3Yk8a9aXWUa6p5BvAC9jD8a5eu7opZCXlWziyxFsHp5jc2ORedUQRwb+JpKNVY2Xa/3x7agpKklysnJG0wO3j62zcgDHfsC/OVEeScAuFthYyEvyBrkohfzlH/r8hrtAGQBayFc5C+hRm8zjI+4qJS+upxp3vpEkrYgLPGxUKeCttyLyr/i79UjfimnjURGFgNd2rFSktlpXJ/PngZnjQZhtzU9OZhQQlXUCuXUuBoK9pVh3TxTqMi361TsXb93oJ0vMT2WJosFdtCI61fHgZuCBLcR9lgxWARyNBjqsLMAUC/0g4bt1iES5xbhukVUdr5HXAZZMI2Glso2F3Up1Uwl/ZO7v/WFXCGFnouPNKDhxs1vD0mM+kfgw3j0SpaMc70EdpD1gfJzj8cAOndpWEU10VpXRtQDERNx0YNbNhpwWb63ZYR/rWY3iphO+HPrffps7/L0P/h7u5fqRDeZKncsRe34PH5dUh8ZojvNIOsNanGIGe4NzItcuw7tlh/Q7+HMz3AeGcfKxrrCepUvshRSuBOMUhr7i/A8Poztg0Svw/3vLFEFN0iKILsq6Vy2cUREQTiMD2EXhczq4P5IEwJvtWR0gVBN384BYeq4BeyOeABuC/H8fiVxdIRY9Y/XLv6jtPyCvJuxfTSJgfeY1cr1iiUC7y1r3qf8q8N2TOAL79CtizFdjfV9FMmO96ngIhAE/SPE5aB9ZgA02gBF/2qC6Vvz2el/HOvI/FPfGnU3qfXxbsVDA94lQ199XkzZkvAvIbxz79g5je4entFuhNyL09jQRH4U9z0KmVZEM17284B2dDxzpVFlqphC8Wuf2ssOHtjpfONoSQ3iXYfRTOHPCnAsgjXu0j2cfcFOpnI0FvkSqofuAfMcOUcch1n7mTmZl47oHXI572CW1uohz+AYumXWYTrmVqrb/3dWS5n3oZqG1tEtuCxY964tZvLEZxJ3csqnAvmaLRMoR/j7QrInFRZXzhcdqV0/+UZdRh9inLi5zO1QL9vNquVn2IuUN5H/g7q85+oQ6dOQf66Ga/tgQ3+wsxj1jtltwAFyTyFvwH+5UnhpVSPhF6WffJc7Z2djVdEQOxE1lVcCrKgMxOpkXxP/gK2c6douAePefzXtb66mpqESv/Qq1LeV8rWNxr8TJPfRkpmH1gFzmAwYDHoh1mSjOgC/l0laAvx+AMh4sjrxMgP/F7Uo45Axh5ixK8ZUPtENdhNf7ah1SZJHY1IxM8N8JN4ZSu7rKBHLhBIR+EVYb/fGaCbWy7GcezKbUtGFoHVjk6gViMJzBASduYjtqAXnX8JSH3mfFSCsV81e/jZVbl5kF5gp+lgHuuWjL+IeJruT47dUO7tsLUe+bZcnpmtmtw4VgzUJPxAJbjdNjs3QRs7xHtkRjEa/9Cr4snGGYuf62sfWm4PnLDlPh/vHq0ryxmHzWkeo02A2xLrYs0yPkooWN7ePwsX7TzuyivgUPTI731IfSP/Lw/WkLueOtGkYcMXWnYohK4Cd3iO5wTinq9v/uQ2wTcqoWc6mH6tzg/f+oIc50IWAt3KMEIBB8a+RXgvdsZRdDPHro+PIFTMfloU5x/00+de4TYzhw7lhHCqmg/3rpKsDorzO8ts7fR8aivpY6FAO83wWwKPZUxNG+5a2zWwyAHFU1LALsFr39iyvzG4+Aik9+BfnnCPxgBo4ItvGOOst4hkEuBNZUBGDp12y7V+BQLuDQXK68HGKXFLQsWLcwC2crogEw1FfWiwL8dkV4uqr4cAaMPgF2KWSvTs++v8SssLa9F8OjDvyRI38Ee+E9vWpxej3Xh0oAI4gI8G+HvWk1PHPeRnCmS7QiA+an6KsoTUqM2POpQ30iG783tdITcAwOcRL7gHFO9K1+9UslcwGx4OO/fPiahVlVJWJUYwNPyPKhvQHmGrDfAPLMNbeMUwNHyLDO+pwZbpdW+IRYkJ8EDQVHLaRhRdwOOHj7qGPwc04MYO6Bl+LUOrMNGEP84g3Ibdsl+s7KWUKyyQ6B/+whLMB29ePisN4P9UJ7wMx4b6zqxADvgY9ezEZFar+PI6VD+smBA+XYM/i4dBXkLr74H0Wky1b+9qXg3ndLlgrAtrIbiXu9bg8yfq8aMJA6nk9sgMBj0Y0KzGdmrfusNJ8FUxmNo+gQziO1PEIdHeVcFxm/g+3oEfeo5lw85x0UWNx/n/WFdUKcHciLS14NttJJ9WgicQfspHLTzYepywGbPaqSngETGuB2Xc3ovLXTO+ThDeC8vJHerh3fV8zSeK8fwLmEylVCceCzbLj94sPJ3xf8smdTt2sWddc96nhCXAu6JJtCF77vD+T0KedrAjaxhbhndEKZAo4JOAv8XuQ5JxNj6Q+NL0HG/H3F7wvOnTZC/8iQvHqxnthSTUrVrt9Bvk805Cc+CsBeqOUBdtT7G7AzF3DTXn6sV/vi/UqW7PrUrTp+X0kg/MZtsW560Ya+NUFkwDcy8LexcSOn+Z+W6THjBnLDygG/DFrgxAXklxqwZrPkV738hRgQoR0nrEcdpfWbeKwT1FIRZbVkzn1hi0iaUV+BBFgFS1G3PgY/jYsBbGWiLnCZV28q1r1lVoI/iyjbOjhR1FpsNIxbeqIRsZltbLz/lajjDfT0AMmfsj94fzZq2QHv0iikDbhEXdRxfTzwi48arTQBnjkJiMW/9/MufVyGwk2LatTw/dKhGY3VwBlp7nXF5MOLjBY5WBb2qxZ9dQPudjmUavXsf3MEnEFH6KQ/mmWzVHJtA6Yp9EgvwO0f1O4QA75wlMtiDfkPcRGcuwPfzhbAIe+C472js7HzhfLnTEaQRrXZLJlUb3Ly/9X+4vUP+OCtMi3gDmtFxyjQth9r4FfVCNw+qlwSRa/PgtzJb9oOrYwR3FkNvFgAHyYZ7sIUUo9qEl/c6u6az5UKiBAOrdnYreAcpq1leMYzV8ReUSQU+0hLHnM3w95sV1+2TprXZfe6B/hoIYJQvEtOdI4a5sBp/bzPVoBLh33SgU93P42DdT3yKWIbkIYP500Js6gHcfWcW2JWpThTbpSIuxz4LFhWiroZw2ECTGyiF/8qm2jjEo59u8ZHrdg9r27N6EHuz25MDmdtFG1xNiQgvhbmWC96JKw9k6m6kqjz4B0Apnj1eocL9qApDpjXWd9r3skmNC/MpsBOJ2EMcDuwH+cyNBEFK0k9NQxO4QIH4vcQe90ZF0Ya/VVNEepVuir0rrW81BlXC3DBoBlOFuAfOL+/V4Yq7Qvpt266qsP1q67nF/Fs7x7rPEuyFe41y/nfB3UhmkLco6K7F2V0gs/+gvdGldvNPGytIvhzzkfgtC48AnCgogQssuiVtnGuBDV3PJnxDmtx/T68vGKU2DrWrVn0A7D8d7aYbx6vPG6oOsQzYAzvAvh/Bltb6XK2hbThbNStdhXm6C86mXoHmGvn/r3Cvw/fM8oZ1jif9U5ipJwLnMP577NQe/lDlWlFyzQ6CP8HeDkr5G0RYNd7fsd58pFPETuUouaQz55zCVJ/8FIVAu9RrGivS13Jf7r3eH+MGnu8tZTNAn3mpnvpHoRi1D/MzT3g+W7RYz+0DXZoThDPt7nVfQE+8IFLx7UTPXcOZxY9Q74IwR8+aWCOjSTnZ0/ls78Nzq1MLYjnuyzSb3nx7onwpet4SVADA7l3A+e8e7wvO8iPEGssiEE/wAMg/iqRBeQiZOZkYC8U8I4wfyyNWgnO91kf14BlNcSKDjAjLWr7eVdfqKF6FEt1J2X3so0b/H35nIP/t5vgmwKL2FmKij4NJVOoqU0KGVE4x363DHbjeFfZ/3mQ4+WNAt5gSYT9jnxrR/fGThHrPYqS7nSijjlPp6L/rTv4uG+1NmlUxJ1FHcCWSwfmSM5P/7bB/62Uqbi6Arf8koGZamcenz1mIsW9337h3B6ARq5c+JuKkS0+E5xJBjgKd+4mqB/w6hWBeOFjA3GdkHS7/F3VQzRn4TxpuU5Vclo1gOWLsQP8vbnJ4lnPx7tIj8l5r5mp2WIeW2c9or6u4vfikGj0613NNo+iJ28iIq878zfFSf9vPkGtZHg54u8W8v6RAV7PS+Lh3bUIrZUeV1ecv9vzLm9KDvEecbBYFcHGBd4e6mEt2ePdgzj/hf4JOb4SYGbE5S8O+60H/Sam06KT7A54/kO58xXiDuJTizOcv9MbZqKgdkTHFszbqEdeOdqIqrJSPxu8E41V32K9YDF1UW7Az80p6+kR6POP/l//IfBHvE9anwSc4Z61rgwExNbVFXD7qYjSqzCpU49qzN2UVjx02+mPV/V0VUzi1sR2AdgM8/aGD10HnHzPeQY5xjiZjK4yzlz42Vc95d7yu8dcWpAy8lqeYS/LgHOgpE+B20ZFaxuchSaAhX0B2BEMx2gnRS56BD86yWE+AmbwlJh9EUazOGIvWfoDuT8/hOG1cn5rNykHTplNtGTjPAEgWNVB7m2diFSMHnUS2rmE/D7xhxwxNwqcVQL/Fgzw/hfpW08xnF9QtpLghwXw82Rwmph0UnQUNX5ZqV59euTfLN8llLxDPbkPwJ4j7zdWhhxzwTk+ijPot3+cx3ySwdybofuU5elcuXrV8vRGHdvNxvDMJzFsrfUtd3GflMD+wSP4/KtOlOpx3UFeqfXooU47AaxstyNi7HRTJMppGQF/EnkWdhnp/9jA8awmnh+8H868nAP4/QC+v88WP4bzumXlxquD7NEWl0nYqdNOv3OIW5qQSmDPTyycbFx/tNG8ec6qQ84EDHfFHFYEvsoZYLto5llETo2ru1yoDe4MQb/miPtEtwdegTOa34BrIxXRjVh8Oy++XzjKqphymIP4ju7VRAzYXAE2gLYFoRaQ5lOnlwbZcD9iPUuNqcNDJfLhr8f4ulKS9k8c5eoSfgZeefQNOTdgkkaZdelk+DsXcM1iQTTTS2aJIkvo46lhbacu8CKydb4XYij22DiN+/cOuXppWfdsaX7GsB51R8IVse4Gdy6IBfei+6tssM+q13D6GuLAL08hRZgu//XQQr5VwF83Hv4ZeOltt1CzZ8LGe7osXttSrnEudMC7AgbYFGuOLMZ7PBpwVz8gN58O4aXYx9TUj7Wb9coG+3jpOo6AG585gAr/jXFSQpx2GyFWyk2VDMimMWqoj98uxP7PJhbHpod3YftD5foBcyAWuiKnNtlxhzpySjfYf9zw250NdweykAcR5hV7n32vmcyXegQcMCjVjN2lcHBeLII4G9oytHdbR7v/4r7IDoamOXB58Oevygo94NNzPZlvFUVPvc+tRb4Aj255bGPv40ol5KUF9wM8OFHA1xrACo0F3NHKXG29355zT0zz2kUdLy+qrGhTy3DJQjNvnblqQ0AePN3TwQbM4PXAMx01dENhA7fklx5i4epfTenvq6ciauIL7qtxG3lxG24TLvWpsb7tlqVxa3f8APmNTiqHbOCwpXPwbr6dug3kT8AxHaOCkK2rE7DV5AAYhbubWxt2RI+GE+FjTHxpOkXwc87W/XPNPi5MHN9t5lzeNKfwftekWsg/3g88pWD6rUhCVwNGpG76VcTpo3Iuacvnkf03g5e7kS0Gz+eBGVsW4f3WjcX2f3df3yvg6pmMSayZ3xMZfe4T81GUZkfMH+xzoBlkasnaFbO7NzUSrCsljfx3R16X8w81/Aa83xdlx0gY3pghX5kRPzTSWS27qDK/Wotf8rj2SOnDmSuHDmLVmu4OOPPeLOke+Gz+1Ip6rAcyXlRla9NMoVOVXce4PZBw9oupfeBMtxpFBjnDl8CVaRSuiqFb5Tx08v7vC4uu2j4dapZmjPl8i3pKfO3XgMkgnmO8mSGmxKSvVsBXF/hncC7Q1a5w8mVjK8C7lXWpIeYGhziV4Ac+7rvKHHqEPDHuIx9ntF+2cZNDyraObQHPPqnhcj2EAnLt3zsfq2s2VTc2wE8P5F/9bAAOBVySBxsrxxnvfnNXzmCx4TJUw0wyd5ZN1EW4o1Rzg31mbub6L+2+O6Daa2brM8Rc6zCKWyvXP1Xf3urH5XSY6Kzs6q57stGLuR+GNMriOWdB1ynAN8VzxoOExFYpsfJr67aog1yqcW22NikV4COyVC8dmAXet3uIL2E+RhcuzbWOac74/QH+mMv4fmXjPZMTXwnAIbmjvzL2d5VBjhRWN7cjfCd7hjweZeDnFH7nxAJRHgJlMpy9xOnuIHrVicpDaP/j+YOmFH9HAvac0hDvKStubo28u9vHt3Uw0RmwzMR4aGdACbPQq9sQ8pbbQjz1XOA/J2WnBRPiWgxR2ETGQxzaTNnvfiLA8A+MrSJOL8DdHeAdZ+CmAd49QUz1RK9nYpENwbk3Ebk6EFusO2jsZYbER1zAYEtlF4zi3kDwt0tFnMylffaonRQ416tn6dvTcRoW8WrZJ/rWBP6i4o23T+YI4mEK8UwVfbflZniwj0vBh/DKyrnn8V/UFHjaC13oG/AFDn6C8xIV556fBV0IfvvvfiVcveyw1nbkNx+XS8FUohPxBfiPQo6+bx2zJ0ygJmSS8+7K3MgIrocsMp/FRFJq86VNzPNOruLeSX9cPoHXjIA36mbxx93io66HXQfdK84vzModnnQRH+eeBMZA3lrVTA88TqvMNlnlpBvd6w64W9H0lEjOV2gLKoRgyfRXM5lTI7hHS3GRJf3nG6UCvxus3HTPusUrV0IeJg2Dn7Vym7DwfkC9FFfH2um2OhSpnnxJWfelpD0dYl0XCXynAfPrf/0aE/CBOPPySbgZv7tY90PtneyxzloJWR341itXbt35Bjga7cAR0bBIMaMuO63L7quWBN65Bm5z/2gHLbAfcB960z+cSzyIDZAYwjsNTU96OgJe8bVDwxw+D3KPm0thqkG84rzZPi7Ds/Yixb02PnAJ+wjcG/4u+mBReJXGzxXqwv7rJZmzkRASRrlyvA895WCXENO5ypUNz9KTnUIdSeMXWfG92hffN+ybeJ2hBFp5MMppjJjVYiaykEuWnFxtz8shEeCVs6inOYQcsOUQS3LgU3l5uuNODwpcgoXDNS8uTJa+xwTWUv0M5wQKnO4MBeKgV5y3sCaqQ9x/Ymq+EKqnbJETydWIuyijL7L4EDvoB/ZJ52JzU7wCHNqFfJrHehQS8t+mQY2O6c+5WP543Ln/wy9ldc8nHzVRXrj3gf0Le5Z+spJkSoq8cOmsQxLUQjD6vzzsS/Pnuk+6qwZ0Xvc0rxm5UEuQPac3LaOv1k6fPbt7iDOVZWfNaIdYZ9tz8XuXgn1kZNhct4uWalhv2KLt3DIf9ejdwLb2wGGj3Ij+eVcM/ArsZMnc7icr9ZE5np07ac+D9pqV4i2L+ZkEpH7+bNm95RB3Wf+r6zhvXfPN2Z8b5J5RCnWHE4359PfFFQjwmKAIIkLxbswVI2CaY77AGcfVeR9H3+2IO68EBSwpSEhd1sPzcmDQUm9wpzobyeuezcHnhLMIM+v+Cf/LD9Efq2B/zmqCWBwCZpjSGP6dvrXWu7rfXPfgAyLqOOCeug70ToCd17jjEGIhfL+qHueYMNIdYs8mi56V/O09cLaP9UUG6ry1fVsDNiExjbAGy5mveExm3A2ZhdadJWLMuPo5TKrch/OJRs97jAHi1Wrr0ue9ARsqj8SdBxxcFYsmO/eP3Tjr+IWjZBDVqqdcylkWBrgZ4IRars6ZRaqiWG8Li+728VyTUdxb4DrwNhfh6jHDvtiIDm3x7QAO92jYuU9sjn2E7ixy4X+Cr5i2/J2VTnmQfqHW027Rk3jWbMnPwaQCvzMtlauZiFrIGnW4tsCfzg38fIYzUcifrM2KAQ6sXeoCdu2fuhvwe9XwftYuObYOvx8msXrl5cKZkZOGZHj3CBe4g66gMr81HOtvtGpNe4WfKailM7DRW+1urjvLU42bO6qMbge+nuEdrLYO7VixHup4voLP5tQBLDysswb4yituZJxeyTD/NIs2Suhb5pokMxxyyZzV/N2rB+EDVgr3jPB99OdcjX/PxE33gGPIHvu0LP0GNho0FrkiTkRczYKo27lRJT/Wbj1Yr/ylDqM3HGJgSUl2I491rvi6ELF3IiPEVGudAu+fgbsU8O+eReJflVE/2Xj/fN5j88EpWHtuAIMz4F2HI3AFpqq99I4tF6cipqud8/dlhwRVPnBeK4efVb3h2bi5stCOK/5+PQwXT/bC7JM0ahxFKccaz/sNuFxJ7WeN8CyYKbZue6OxeehIveFz7fm8Y/Lb3jOcD9b/6wdYUAvY/8liWjZWZHA+oGFkwyCL70v0D/2xL8UVULG7dSr3ENBqLzoCXC87lGT7Lzem13q4XGi4OnOcV+AiYVxHlcBulvmFN9ztYj6By3zR8HKCGBQXSfrQkh51qB3sS8pwHwi30+fcQG+sfAyXfNFfKuwmOrWrNjDZzqXAVe/0ae/OX8gj6s5FbgvwarD5V53oS0/ph+6zBX53yx1lDhz51XoFv3th4fy9ewB3kWoHPH+zxxkfh1sKdzpCrGwfF29r2eS/eRb09Q8JPB14FWCvdBbjHAEGefVw7jLgAM24jhHftWIG/N5lYAf9PkpxN+SDT9zJ+q7nVgexb/1ZiWjFjpdP1YdXyDkuxN9qt5BvVfqcYm5j6tzKy+e+WJ+BX3V7Fr36Krdg/df8sWYHNoCNRFFhrU3r3D2KdvbxbddRpIC7sDZQ99q6o/6aS8bobed4i2K5kw+kIDFqEW7OLTA/KiHGBVoA/rUg1mD/1Ndrdgn++6MS5vK0YZwRdtZzu9Awc9TX4ePCG+uvdzDDijqrx78ZlZsDMczRfD2A7V5otFmK2D7LSQwSZyUggjWPS6/s8KwHyDm8fcWNcya4nYHrtfA+cY+PdjRB3tNCjoJ8+QF54gZ29lWBTYiEfBScLjI+raj0bNQHo331UCH2zs6uLiPwaW2wz6SVq5uOlX8Yfu/0PllvxF4OTiNUJVgXA+tIyZC79aK/90notY74Boyx1diXN6Rdzfx/d6zlyaqj9AzcYoW11QPwHD7YNuSoG6q7sim8icDvdfKr61gzyT0+0qMq1j/MGeDvu0nJS0Zj7IsSDxL4KwJYNRe5pZzuWSMHH13pnm7h53IS8pV+9orPuRrSBHLd8QB5mjFy3AKvaRItfuO8dXL2seoqY/aFlZ0raV0hjgHWo7gf65Jb9qa17ud2vMFncSubIAYF4T0LyUITqvQSOah3/XzfCb+RZ+9/6gKvhT93I1t+tbjfWNwNTRQtAktsLFwAS9etwftuzQF1DdkYBUIAH7Y8mrv/avCAW1LgV6h7/PbUSz5eOFm6b8rVyBkF7Bq6ALvdnP2FnDa/7ntPjauOUtCeD53TxlFFhsyF3J0TR+BctdFy9VCBjnOb/uiY3ot+sCt7TjSPDNigTYwCljs47OMd30/KYnrkw/2DOKhzrROwlZcv9xDHJ6wrQk6L2PNeanMTS8TBHlDiZ19IvQJsP1Hs33EMaht+a7s7wfnE9XR6wFlv8PzAh7f6qbEg7ryHk8BeuyDdk+G3rleB9+XFCCi0z67wRImAs6Lw1Zvoz3XnrK47d3Yg7ua6NBcVz6kM/E/U1Cli8wX+vtKjSanrP/XBRElWVIQeAV87FO82HS+f8CZen0W4LQrgVFbWK09E8M6BY+15ZeNszYFpSyXqi1vhLZf5WSXDCvBPVfPQOfSZpV3zYK4aGd5Nmuihe8hni8a93hN/zkNvror/9pghj0eNQqxlb+V4n2kSnkkp7hCTcd4ce9nNYeo2vA89wPcjSf4ilvkRDoQxHmHP2ZU6hDYO2ejQ2+/F3KEG5iGZjywhubZfvViXGLjStHPMFxnEhHcutSFdLhXwgXUB/DcS8v6Ry24FWKSTY/qxdS5w5peOREDqrcGhdndsTJSTMfPq0n/TgFeBv2042qHMkJW+uHmN+j7N1KF+k2CW/XXgf13eq9Mh2AD2tZ67qgv2dwW5hj3n78a1BIx/bRwvKZZ24dYlesZJAM3ESXnGyb4FPCkGo7gRX8L9rX9VBPAzH27ePn5H7YG9ivXYMu4Ku32QxYRbO00PPT9jH3puKku47dKU6YLcXcFztVNqN+P7Q0n61Qj9lcXpizv+q8fI+VULSCGXuoeE+FJ+rySfhxx1y4rLT2ZHY8VPjwb4mXCNquX6e2vrsYn8B3FIRcLZBY7SHQKzU8WFt6PZHGI7q0fgfSH2+pk9L94fh2L96scGjjXHOmjdVlCrtYyB/LP/b0bko4nSDyn0vuVrixidi3BYHZJupcK/tyZpb5W858BrJ4gjPuCdUxGYvhW6Bxx1yqL2DNhxW42/Nalj0xuCPd5c+LOWZgvxWgLX7AHHbsGWCAOM20pzBd9Os7D7zJ33M+RNXxvUldY+T4hsrNB71lLHLtTRyWomMUOs27Ux5e1EXpjN4P6CQnqPNsJ+p/WW9HqfLZszsQn42Ro4/n0ulr9Lg30qlpmxJieO39fdkpbcJuDPECujP4BP/tXp9RQRwN1TYVUu4MNj49AXd/g6THOmnOqG/TFZFI2QU8Dnvpc6AfQisL/X66sx3YvS7LMIuI+zuQrbJ5XL72QwQllrnxm6hfNfyDS4FJ6XhIKDb1U6nomAN/TqWdrZZoUawmrB3e3zBJic7pz1ruB2WU3KkqxdFOqu8vYqhL/TtuqL56ytcGhxWQ7x3+tBXpzc+BexmBFw7S3nlzdpVNk83h19/O0HqCBX+FtnZQPuSlFLD+8LiJ1+yeP7IrjhFOyKTTOlk5/twRfakX7+ZzsZEzTVPCV6oJBJTcSWLuf87mcW4CVjguy5+4i85isfJPaGna3mnSsAG8G/b3mQW/8AdwOuPaKm+eBpg///peJwXgecNeDRF5feyIb1SbvVVYXp8uzRNZEjcSaMVR7rffcwXvaQx1/3ACfwOam4B+fW7fXoWcKE9j6+ezt7gHfIvSLy3+hALXm8uHpYf2qXLo3zvtpCPm+w98HeeA32OzEV5xzyuvP9YPEcH0rIKYN9lYl5neF/8yZdUWDFits2zrJU5bAULvaYip47M+BQrJWrY+aqpAnNkBXv56IHLMz8TzynSlR32gsJmJfR4d1qIaNnEKeLWNN66V4z+7uaZ852IT+s71YHo0vwX5mbSPKlWmXhyWXRcKcQxA5htMkdiF+Dwt5sBvzxWsvvM/jng9jiLKy7xULqqSD6FIkhwHSHBt4h4rnfe+wyteVEvtolvVApfhq+cknYWQXPHoewtSFXv2UG96TYb8SIFWoGYZ9yW6oVLc0XB64IGBj4u1cVo/ddyEsKNnyvxujpby2/v+rmH5Q/Y7QDOdIiTOPOmeQgNMXZr1xQxichAXsFuYTvysQK4uQ3FX/votek4noF9sPrOL0zmd+LWG2a4V7zj3fg9+LShjgf+FuTshrmfzz1V3GGTuqJBqh0GQU1v51z82cpOKDJUkT14Pk0IfemFJ8794R7Lbx9pM58VAx8gGrUN14IpaFKCtxdMgjAUeqLJap+xY1KADeT4q2IV3bRp0Fm3TyKdco4xZw2s4hUqtdG23+sw3B71BP12wjOkImF2H9XLLx0T77H1IZxvoBtLllxsepAO4A3SG13r3g4ZMyccM/NYbBwnqxncE7Am3qcs6GD6TDHF4uRIqHjnlEmSnECzniUAYEYHhWCiaOOOOSLddmIPzfN9E8mKM7H7usE9QO8lx1+yamzmT13jRGAX3HnS/TJhvRKIS7mjuq0FVpErs1hrO46pNhHWuCcBrz3mATK5Y7GvhZBY+txmPh5Czi34evxiX2t6KGs7uXLZyXFuQWMUi/DFXz4g094rxRa9TBDjBVg/y2g1e8bxOsvwdMrQb2df9ojQyY7wCLzh2Q6l4MBvB79m20fszsvvr0siMAuf+OGx2yspZkAzjuA/LVqmBItfFvUJqhN+lkEOpBj+ABs1DO383hEz2y4KMgLmyykNO9N1Eqc54iutI9u2rEvxPgQr1Lg57afT7935kURhy5g5WuWVCtVQj60DGqsnsB+FfCRfTV833USwTnOXwczw/O0nuJ3hx4vMVvSt607nOmC883gOwvuuoqMMtzmi96B/Xxy/ruLds57EQC+n4Cn7bgbos6K3SQnwNPqoy0uBeCsXTV03zqi4hnfI/C5BPgPasaX+rIPCN1aqwebfLDlGd93oRyyHET33dibGx9/7wEgfmsJcW6pw+gjn1QmnHssRuFmbgjPkyrB8lvFwJadyCuEEBT8FPfTYA/MQZKjssFebHqWIv3IYhFw9hd7k+p94GcQQ5HLlb9n6A6oD36GPNcpd+6E2dy31sZto6gUwAVY0n0/Ne+AD7RDir2w8N1VAT4r9rh/Y5xjvHODGHnB+XxqA69yTJ/xKM9ZB/idvGaKo2qws2fvxwj5//ju7kOiDth/N5inzdYh1npOVuHMz/oFzokeSh/vGy75A/CIFT7AnvYaog2dKOAf4G+J+QDM4kKc/f+5EvtjwZeFrwbU9Pz7YAF8+NR6hzI8t2Xr1dbtlnGIp8460yJ8kFF/cG6//deT+4Acz0k5R7kkKY27VHH1RXAPrZ3WyHlxrvo1T1Qnp4UE5pxZdAf+QZWI0v/6NxxSqh/A72HO00cmSEdC67x9wDM7lz1wVTQ5S03RtRLzCnvgcVeSDMMFuCpmw21urWdtZS8tUzj7zFMR8XgP+RniEdjHMRN/ASejnva/HnVcltjIbsys5z4AVaDuSPJ3ORQXl4XzDntst07aNYE/8ZgYJgDb/6cjLc1LB+YS13Z+yw3ZtoCHIN59MJ5bDb8kOHfZ8kt/YNTSxs8AR573CSlywW+N1S4VcAPIQjfcryaB83NUc57yBbhhXATkQkbAQzj7u/zuiHf1Y70wntbFOFx5uLYhJyVbe56BZd8yh4IdqgriPVd2CHHKXAHL7iXu7xF0KwNxyxYSZfE74D47UwF5OyTp1Nqm2gtRCLBJVXavHpgv8L2pcTRqBhyzjzUB7l+JvoN8iz29yP+/V+1A/unVLcoDRgXYaI25daZc2Lk7b7L4e5WzVGaA47mcz2yKtm2o78qNlrrsXjzlW4su3zm0A6ySqND2Kxsgzgg5mKtPNuZYr5f5JL7bUcd4rwax1oE8eWqTboT8D3nTr/MBd5XqfRMAf53+3GTkXxrIdflzHjZ3X70HJN7cGztKsB+SJJFHrNmmfdrlwh8L2dotxLBi6VQh1yvAjAHe/wJG64F31ZXtD2o6ecyBXFv+sYHfPmSfZltnLYmJeGVlVjF0j1cdlk9/FrYQ1ATH+YZN60YpddKBLGrIbDUqaZ3laE+4B0P904J51iOZON2xpgl5Dj7fvNG4ulajUMUIeGT5cxUTDWkMuFm89o1+3zM4N21pIYeb89SLLwnOp/BDCD4vKxd7++rBTuoxHbTsBh38sfPjJQEbDbOpS3Ijuuy5d5H4rRXeC+yzL9uFlUC1Dc0pI6+7yt1u8QOG/dOO3tNJuNoRi0QMDXwEuOS1CbovwNXfYL+A1VM/d0mh7HmpR+CaMYRErgnqBuaorcyx127+yo/rx/OOaYgM5MdXTerjgJyNewnvUZMlUnraLBDjz00U3rJACdwNC3iFS0GeOQVrgk1ELzQUPotaB+yyyuLuuIefZda9rAbI49xALrkMmke3Rl5++9laZ34rwu4HtfnzJ34X3QFxq9CPLDCoc3xtpK6RC+QDYLmY1vmSJvvYbIkwMufVLWPRBGc+gV/3OzstUPt3L0kCD3qtnPVr7gZn1CY9miPwvELJFfiev9G9H6px5dYTOaseNQbaFZV6S61wBbFL0vF5X3uRCbxDEeWoZyD46aZDctu5G+AtXtXG3gdY8a2Yopfe17k6vl8Px3cnc6pr46qcOGuI4+qzMvQEcTcA3rkFvp7gDjfwrQHvDPbSnLJh5eFNP/jArnnuAHjeCS3CzGddaiBiCvBAuDQBf91H8aIMPewbALzm14CJ4J0tB9YF7QC4J1CXOtw8mljcW9zB5cwuiXE3zjMeUvDfn3zKvHoyqKM3tUMI+UIc68jMEDPuzeJ/K+t3d3D31MZxvFvteFdSCoV3RuDHNvYgQ0zbH0rAgiz9KaaON6KblB39gE1GeWlyGihZ82HV9uoTcEpM+rQ8AHYSyebBItx1o4M9y7zXGYoxPBNH1HXkCwYuwUpqtWN+04n5KmKb1Xa0qa13Wx3XI3X9CuL4yAPBaalUDfluL7uUmeFxCARkhO7JTSrURRVi4iHuqPvVW360zI8OpQF/oI6SFDhDGmnLfAP3k9hHTgEz1bauCCCgPYuwF6Hmy9/zIcH7mfyWGfp1CPRQO+YhQmo3rKsqePtNEv0gHtfh/NqVecsgs8pxs8onHTfWvd+6ZtDA2/RoXVF3nrgzIUxxIZ7vxy8CH3D2JVLj+sHLVCBGk4P6Ee5cNJa3MCe0wN5FzegK+Fauh+gV53kW5bfa5Q+O3NrpwMdwFmnNMtMZwL7fjdBuVqpjA/FGsWw5ROqnnk63euy6Gp6jsLJrbkPqDgfcteYX8Pk59z5UD9gwPi3gF69eR0eVlcdj24Wzj1mcbosH8BnxvIMBjL5aNQbepq0qgZqauBnDVT/NGN0LSwSAoXPmhg72pgqRKrp0HuNKMgd1jcUV72iRn77uoxTXPWeibuIoIcDc64hem+edebTCmQU2EEB0iuI+K416o47x9RRFtQR3xp26Uvu1rfbw7NiDnPy/Xv8NxOywdn7rRN9FaGQNZ4xzvCw6WdnyZ3WI6UNhnB/EB7MVxGHzxFW6xLvC9LONo2sWtE6RdDjP7LexXoDfburH5Ycm8Py4Jwf/r3g/a7l59WKdIeZUcPaRdrsJ8MjABjz3aNyHwOscU0EcEYcyfzCTqtrthpwDngLG2CzdVsZrp5bhvQ1UoXqaAAd6zQlbB0HcIqF2y353FFbVuC6Bi0KuxljT7eSIe7v+06TuxXczrH8K2cV7ocZ8wbpDCnnx/ab6zNUQtyA/cRqiXsWdtE63bWwfNaE+CPZ/h2bCPTmvnlt2vBDgnJThfmVn/m4iMreQa1ELlCfZnUTheS98rO+cmsTfby0b8mGKmvdC9KkDeXlXO/mjkLrIeWY1g8gg5iF/3qpQCG3/apiM2Odfc31u+spqpFgOsXnL4RtnYXYVw+qmXf2mw82qHjya2+YT9U9kOKxwnp3Z5thE6RbiyBZs+AS2pNrJPxdBazXAw5UROTPmNVP873xxX3IkHrlrHlsre2TShLj7snFNV9vpBT6fAOeAOJT/d8+We4fB7uTw7VWGvGWL2hFGKlkSivopHHJMC9gdfLZuH++vurml5T2m0vuCnHWUJZ0KyLdPLY9wLSmnbjESQ9xO0ekE3E5t0KaBb3IZ0lEJ5VWArfMeq7MUezXGGnX1pf0hrA5r6W5rpa/ajU0c8lY7gDflEz/gfRZu08A5+l0x+YC5069stL0t9tMMEe4awFl4QK/+UE3pwMfcUUx4jUUezUh9HsIZ9WrAhROakRxi6++dHvxu3JoKcgpf9gHeZ4ANMl3+q/ebY5sIqZ6ztibVge/yAPIHalMCmsx6E2grErgfqXKGhT/3hYlZM/HTFmta8/DelLnzwmyt+esW2Gs/tA/UeXlqhMeUkPD+czDZKhvno4q7U8b+WHuwbQa8TgTmo3C1lDLHGXLsD0mAQQHHJ6d93K5QYwIwnruznnfs/v9yJeBma54UtyngrJVyNeB13Dvq37m8pM2UnvjQ/dN44iKhg4AfNU6b/LlqeC8Qn4rMwp1YNGJ26LaA8wFrdLnxJ4jJvoI49Moph7ArpOSoDYz1xRz7HlUyj8wCMAZECLgixLT/NC+A7zAOz2pRATgLq561ileoI3kGbAE4nt6QowIeT3F/Wd5Hb8DXX/cAMw1EDudlA2d/5g8RXzZFMn/gvZGW5l6X/qKDyH7uNRvmDxphH4uB7I9zbfrRlE9Na4iHFDHdD/ioC3jhmqM+y2gALfovvBFDTM+edbogRV2QcyHzs7BSAJ933L351ErPwnXAJ35mzn3UwDMaSZxspOdqMhNgyGjP9TZjf5027J799cA1AuBEuMsJcoB41Zd9Gs8/JLwtRTQ/2LB5ZM77Sif81pbdD+frDcRYHzAKYdizOQHuBR8QwGlkSBbgAXcmsR+VxrmzHrKyq0UUIZcYd9hz+s+Wf/dkVSLCHnTcl/qWTQZ30OzbQO+IPZ8AUNctYE7gCBONb269+DkJVEqGaGES95YNj9aYAd5XtU/SCvBz0Lga74HyYlBElqbCuYnfOSmIP2rsjvBvu5DAqkrSSy3vnyr4e4XvNAEe80UPZ5uYnPXdJRd/IH6HXjuKh7LNc5ccH7wtk5ePOg4fuf3nzG09Z4u/g5z91A979TnsFsynOEPFnWKAdx4BFi3WCvLCHnMCxx6kj/dzXZpJD5flqZXN7wt1NFEMYy+JtQC7dHRQLQp1bgkNw1teRlPLPdRNeGE2iK0dYPA5VSHkzVL4/+nVFZQPgJejNyrXbzw0EPEAg1jetC9pBnnRrl06ktHuUINBRPDeYrJqBuCMy4C6oXc5cEvEOGvxu/PuzjlgWcjbh0j/cDcHLuxfgXvjHPumsdZpOxG3LoF3j1FSTPSicBePfbI09nhZgGOH+7WCnJ6XIlAx4Kty/to5l6SOySiH9HEIvRdmO9HH+ggY9Y2XdM7AT4uQbnbWjLMI3sH8sar+z/VQpqsmNDPg+1olZMxl6j/3rz75CflQUXunqCXx7Jt+P+8hjuHe5VqihsL/tFkKSVjBNM6HE+p4ixhvCx/xLo3kW8fGGv6OA18t3BBi339aRImwc4MaXHAsZo4V6nsvFO9dUMOjfs5LAGLOhjveOby0IwiJFXxHivfWCu8UpBQn3HdN5N8FOI+SY3SRzLeEAdxmhYAVox0+D/AL8PPNDTEcgddGlijfWt2xsdO4AhxHAnJkXPgi/J0bHfKRPPucIQevWKRvjf33ykPrCnZMMit94I5V8KUj7nWEs0St7jx73l0Lw3uxbyLg1gHpMmt+1uQr677N7BTIdfrDYtQE/x/Gzp2ISxnFW9wdFg9nJnEG3wAH776BR3U7h4CNd6sW766tLgKUSInFH+xj/dYsatuW6T0LLyF3lJslYH/yqT3ypfG+2TE95KvX/WGZCbFqBHfr2EzNcDmyALUh54+ME4/1WHtEjLaOdfzULIw5HuZ4DwlysKUbISdcq5KadorOjTP7hT3zmtuQab6Bt9MAeMxrpwnqUs1Vn2Y61G4u7bMG+6DlvBJCAPfuOs46POOxsdQb1jsgd6P+4X7POr9yo65O5ntr+9enbS1kKXCPCdir5Ap42wb1XV76bLhd743jvBfkG23m5LknVc4nAvkotzjguOioHG8vR4gVvf5CDcfc/Xvdx+8ec4WQIfBYYfw2Uh5gwm82Xo7A5XzIn5/aUREx/usMOeILwdeBZOH58NLPmPQOYv7tUJJFxXecu+YqoR4Z1VXH3VFNHQGb+lEM9bhRg3ieqxG4CSc1/Pd/Goe4G0l2Kz0I/orzzPGSGnHIEO2A++9kOe+b49pGHKPHb6/pabl9XIx+rFk1UvAXfSr6FHcOh1ubEuTbW/ef3gP9uPDW2dhqMEk1Wuf/NJVfvT1KMdSVAF6PHV/xvNfo/4MQRHofuDuYAe6mkD+yKXUh3h7FRFQWqQIQSVfYWN8Dbh+RUgoaVINZmtI4uQA/En5WCV3UUfe6n/9Ugg4tn+1sTCGLY09PRFFbJzNY5wG8AVg3x1wVZTd45wZ4PeQe7dXhf3rK8v0uExoLvrrWfb7ilo06T52adCHK+btI/v9+Ijuql26nHMiLcRcDpnjLxvyhEoXx3mgb91lllsDde87p0Zh5BG50luMM8ZMiXgufMUR6mRjXGJstNumssvWXTsgud+bXnQPECG21vLqCLxbEJjvK1wb4x6VADf5ek9aeJzb5Tj6slZJ2J8LwypZun00CcDz1iQHuZacz7/m1BoyG+3SUTX+Ad0IOUmn+WL/wfMo5pTzQU23h/vKuAOzigs31gIsy4B01xFqSS7DnIZ3JFPmtS7qGW7jbw31yg8H7yK2NAymGifLPTdntvVo2lkZ/C6LxwIfX/fwXk539xHQ8YkUSdXS0rmDTk4Z3qlx/pRz9RQAT6X89E9cmoR0NUk8soVszZTfW5amf3AJWrxdRbBf+oP0fV1hRBpjhqYf4ivOAUX05csizaYV4nLl0wn32+2jjMQYcL7R7JU42jdO3LNw4rSOyPfq5SCUJAeMU716Geg6TuemnXRDcp4L9cLt2IGWR8NdzQbzOHcJUti+7STiiyh3vdCiVnx8v2MfLVbieqsm/FpH6qeSlAo6Lu7J88K+HHKoHsSNKBg/3qqQS+F8R4xzw/Q2sNa4YJZTP0etumfLLtg3Tb2AjEmLMCecIKjF3mfhzFxy1Jzf3ggFOsdQM707Bmfq4M6gO/y4Ni+4kiSDfRYEa3x8y4QsPUCft70OFdimNwDuFlxbBBuNlVny7amrtmkcJj586dD/01Q9VRnFukZUe0x/A5wPqCTArP+8AN+nRW1hoRtxTx/jpATkV+/bfqJ32bYzzfMDdOX3V6I2ONvfa0DceP3dkHOtReNJkNviGrXHOqXwOJF0hNz3nj3cu2FYM8ZtlXot9/aI7q5CvuCumYqB74HO0iID7MBKzYp3v/7eP/oR6T60NTEgYcxjouRE0abgXM3fO5ERTNtBNVpptBrmHAifPhmEpPi5GMP/fc09+TUsdCsf+zgQpISZ9sJ5OdWi2BDWG+e9su6+l+iHMJ5AXsgw4xs4lJcE+zwHyywQx52MdKwZ84mNd7OMO79AtWWrgydmKTd22EBurYhtLlSTchyRFbW+cKULcl1v/eh1eWLRgXSAsOLORbNg0Qz6gQ96b2z60h3Zc1zmLXDbOSeNGl2bBOQr6hfrZdXH5annq8iR/wJ/DLIF31APPczXw5Ap4OGS7eA4O/Uv3+xs4gO1CvOgP0sZ6ls84vUE8l5kDIWn6swJfLOpJJ8Dlrhz1Gez5BjaJZ95lve734c0ubKFYmWaoVVlZaccelxXkto2K15Cb7Vf+InjfvQ9XVj3Nq3/1kpPTCuPm5bw0ztpnA+qYdW/aOp2BxzyaRE3EWrtMzBIwtSEfawv+zQXg2e4QDPC99QZwhGBYVzcRb3t/83v3hbvCAKRBPAKsabmHeO1zuZ7rqV1h/wTwyTtxLp1k3aYO/2kMgiVA/Nf3rNR9Ztl477KhU0dlKHhlz2OBOlRTVICN+VSa1w4apzi+uxq1d6eTXWGtt9y48Kwf3ApXuTGAg7nbjN0DsNpGCPqjJzVkiErEfIE4ARi/I8Xohcyix31sm2LCurkNOW+9wboQm8zvGQoH70zvH1WZlrl7ghxDq9ZGbbY17qf/UJL0Uq5Xbay+qBBfGaOcjLTAergM+C3nhMrjelUPkDt7wIfwPduBRhq1jiH4FxZ5+VeHvC2zzDd11ti/02f871XgrHMYAeQNLSCoLncgD6Jm9+JTiFEpcjTABh53DCXxnDI+nCGuSMAxn0UAyZ+vVlmQPSA248625Df2PmtnUbrn5sqCyIBdf8N5nYHjZDWjH9Rt7Z11v7bw8uFsvT3EwopHcx3pVR13+D5TNV6y1mo9PRCIWd33Xv51IdZ/sSF3q+m3DhuDTUwCZ0Xs6LwvVd4OasR+MdxbdICcCBzVhe+H/AriFN73CnU4Xv7ptIcryAXZXbhR1LiDxUbA2SXkrbDbN471qOCdiSV9YVGsn5gWOK9afNTVOyrAF/vyr0ONcZ/7fUOVFSZKKcf6nlfAz+H+nV1hD85hgAgQmUDzlUNtJTPgHRnETsk05uUNDTYreN+v3m91CIj31KKDZ1Lxu6OfuzbvUy3XDtjIreh9iOkig3x7w31TzLmfVLy60rC7MEkSZW0sHvy5P/tiFj/V9qyqaa4lcFGJOyHd/+1r0zatWdTdgCeXjaPOQnrATXJPT2Rppxkwwn2H/LdlfgY2fjnEEdjQ3OWu8A/D+quIKWsCDbEepxKBwQxRCrGpVDivBVlA2eo15/smpu5eOPeKjoCVZbqvg+wm4pPHcddWpCDmP7VOA5Z0tOjFD3B7S7jGk4AXD9K6kdDmzJBzLi87wFsJ4MoabGaqe/VoJ9QDIK8+vQU48hX+2w7eW0nDZ8/S3DjdAHw45KMQcE7kuVcVdesSss8H22XAxCTOlMYC99A94Px+mAPZg4saYjnOSwCD1WGN+0V5+uKVlYpFintQlbP+0SHk5x7n/NNLjas/Q88DLj40fUThM7rauVMqyNSU9E5GseOy+zfr68x7CvgCYuXCgM+AH2TwmafDuFm489sPsCt45tQ4jxx6VxmlWEc6tsbP6lIMezzFPu1zOw0qnl6Au2Gf0KV29Y9ggtSJOMoY+G/sdRK7Yh3vk1skaKWNs4HA31qLhN2rp8LIJMSde5BnUnqAvFVLXXAnSsR4ecsG/Q1YCLjF6gE5uysssdtHuP/UvOU4f2+fID53myyZGYHPbcL0U472DBzThtwAfCqaD9Ocv+4q2UJjFD2HnBXA+5jRv8QoJHznG8SslIuUgPdbwM1WOF9JjQA8TCKK+2cd3fEpEiy2gcfoCWKARSMCvny67nl+q549p7/383k1nO7aSi/5pJcCojodB6stLgvEfIqaM7iX9bkHGvehBeYK+L5oYqyTXgISX84MqDeZVAjx1sf9gni/BNGWM9vEOqFPrvjy5aI0uI/lKHpgDjKVFc/vVFKHDfDuRvrcCZSZDvBw+p/G93CG/BY0MsUaUYg7XKVRF3DSgvPQoY81eJaJSSlq7NmDDP+yjQLy7x3e7aADk3E3glwrVuwf1gmBs4Zb6/26XfIbNRuvPb6fM3m/7exq9eyLGCAShKeVSMwud4eVDu8x5J0V1teBxxI22sth9H7n6CHfrCrLO+aD5+FdZT6Je8OH6/8xdW3bjerK9pe4mIz2YxMjbGzkIHQBvQHyCAFBiOPYmK8/Ve7l7POwxh57rW7bIKlqzlLVnKoHDMopnCS54QogNAkxP0BeJp68f9/gmT9kxDa4j5sxQQ3Ybd2vgWFdxtKxh3JI8mqTvBjy+YzzEWDVfO/SLN+EX4AjZz5YxMyvhjSzkDoHLgc808RMuJvTKD/x3h9w2Qq46FFAbEPvID2YRz8Ye/wWiIs2dGtAtvB7VAnv4b/vSpvFCtTXkAtwPhf90tFXLlAacGfjWwHx4KUWbHVYDGD0dc429isbLsBpyxs8p2bRpaod+6NGEle+XaFnK+qES9T2k/2cd+ZZg8U5tltpk7u+X17EFvkWbSGmDqeOVXU8w7lMkpOUOivCuHQ1y4APiGGN95k0c0sHuDJP1e6sx8+z3pYB9guw3t2k/Rr3N+Px+lkzn1DHCWIpcEcKqYfglYvkTpAatX45OEGkY/gXgI9S4DoSBY2WFs4jucrIpfVw2XMPMJSkr6lvDnpD4IzJba7Wh1qhBk/kpzJ9rteu9NatEK6stv2tWdh3aqc7eucw9GhV9q327VkX5RnWVApv8mvfcPiuW9WzFHLzFjFe05NXOsqFvl4e8bH2bufKxR5ocjzZ9rdGhPch8Lkh5KUMuHZe2XBbiUA1qm1VP32VgO8AU/q1SmHN+vmfjlnoa58cmkXfVRc9er/guz4f52sxaaPm6hQFbj0KD+H98863koC/ZbtwYb8aSBal+OPUPckhgp6ZR/20v6wea909/JUP8H42aRF+oZRkNvw5a3in1ZaqgyMF7Uzy+F4/nUvgdHuPvOw9+pzlXOH8joqZhWx+p30TnDbmCDERchDZSVJexca84b0q/Dk41/BbF8hrr5dL4wTbqmu7w9K+MdXuxJDeKydzuAORSZJX4Iucc7qDdXnOINyMH8ZsbDy6oZBr3t2mCB0J+KUarXvatjHt2U2MwH9Q1wwiW9m3fTmyNy6+AXsj3hbBUcJvU8GO++G1uq+/9o6+ld5j5v8GWCL+xaIyVHnvZin5ry6/ZZCbmJsOxEJcX8FaBZCZ3qRvXNpTLtwo0M4fB/IrzpRcOJeoR757aFGLT495Gj2jX2W3m9HnMQfc/t93/fDub3Dw5h8V2y8dBx/Ac+Gc/Z35YlbAxRA3b0RBNnunHXMRrQ7epZMxe4O9MTVSVjr+DvLt5yK7/kzv6xE1CEth0Vc6BF5s5eZ3NjAquS3yhX4ZK3zgHKMmsudSfgB2IMdNEj5mrnzgEgsgwC3VTd9+p06yoP+exlk5YuYcfd9F+9oQez047HPvrAAHJhuN+LR3fvsqhaAALMxX2es5l8myd6YV21BY+4TnwgXcZjR6bQA2JNiLgLP98Jk9/Jkz5+SrgvOFZxFw9wH2+erEkw/ma8VdfWyi9v/ptH8HHDWzvfmFOy3J+x6wjH7Zu8kLYONPSSIfdSZOPb3LpQQ8Alg6ojIfNFfij8dw/mvAO2cNeTHzqgL77i8b9HNmzvqrAh5vuH7Gwwtg9FVdmCVdyIHK8JYKF/go+ixBXOq1lXhHaxv/cQcCjFIN7Vuz0V9NR7aMJK+pCNA7IULd7Or1TwC4gcgO9sRG7/TH2iKfffJlCbEC8iz6cFiI7ziLr/Au6rj9dNAnhsXtw9ujiXTfjKzkW4jtnrtqZAgxBO9pCWpsXCs57au+LfiQztpzzrB3Ru0Fl0yYJ97YAcYPUw4ZBWIL20SLdtZJDUywlhK4GfbGUg84inOSU1wL1B/+vqdjfwcexzBeVk56NTxdwXqW2UM7joaVixr+Jq479BL71RZ71B8yByJ5f0khxnARs+9T3E6lF1QpPNOpnxextRCvk+9scGch5Ajx9iu3WPdvKzG2pfAuue4n1hBxTwGDGKdlFOIg5JsW/TT++y4FFA7P7rYpzFct3u9wZrdl0c+pS3ruQuxaCN6pO+ny8LApal8GHDKNhLXEnhMDOY9FbgA8+WyIDpVqQ4Zev6if6gB2VfSpRXCWjlnlirbILWEP/khLj1IAdeyx3wawdpF5nISlVsHeoIewa/5p2+P5AiyjlAkbD/JxPF/k8Od+AnyBaZQtf1fpOMUN/Nn/vovBu/gWBfZF2m3u0u3Ba3fVSFRDgOMM7vEoLjjXdqsXuRWjTJrhzxXOzFkuPWAAi41Ri/GTL+bbHc49pFI4lUwik6+D8p+2z68HDevwvlJDTGVH2Gde1f2F2M56WKc59SjirLDxTQp8KULuVvrTT+m3n02PmJrkKfpNSM0hP8CGjq6aN2eI30r0NjKcvjadfmKbvLHtHXjJTz1o1wAugXNTMcf4qds8fHjSHvWv5x/RB4/+VNjfF+awHz7I4rhhPye1/oB9PfF/WklbiX6DgM0gt2vtt5lRv/5EOht0wlzALhzylQhCCdysBi5RL7sgxW5Q1JPoGT9uyUahh0KPPaTTnTt/lhrQknEkEE5GTexOBjhM2oUt4A4ADIkSnKD32fOOnulRJ9I1KzlGc4b+ijnqBpU3nCEX/hShf0DK9Zk6kHJFsAdU8SHUVMBzjJmgPh/+3LhPJVW3G/CuRYl2e3o847+6N+CE554Ptfy8VwNpm3910bKB3FBb2daAF1OsS0Wmkxu2S5UcU/VPl52h1oEDvHajD8BpsY8igvy5VOO0y2PXQiZ+Qy1kwGiuinbzL8aW5lLKhz9UR5016sB1dAAc7dmCcpMBj13kSJwqAm400iNgi00mwwzw/EI38of5SVDZ9uMAeKyJsjMlMhFb+BSB9+c7jFXPXIn9t7CW9EWI3a1yIJ46wY4R9CgM3yj6pt+xL396MXFyy6XJDOwvuQlFSuQV/u6QFui/YCKdf5+pB+gHZxV88oW1F1qEnhFP3Tmsz9OLkXJ3At6gNhqxC6uBy2VSHsuFvFHP3UPuf33U/+9rN18AyylA8MOEnjvDwcN73GaWgEwM+nlivxX5dOAc0Xr7fsXaw3/fhd4ER8g7aabcF4gbYT7Kr1Mf7I8SzrhnPioiS1a0Z8iFELumrSqs5j09yMG+Ac7IM2c9N8NaUqnbKk5UzpO3fFtej1G5UG+1EpvmeXdjIaYq4PwvfEvjSlGmijaipP08xutWqynkG9kDVmmbfqrQgxA9WNNXiG0KfY0fddEY8E8CeeIiowTQX3tT2xC9UiOJOmfiOceB/inotSbOR1UGwmkDMZgX4GpYq3QyJTPE/3XEIuYBRuc0yLr02gh7yWU7NfHqdiT62nD6ATkGeKe84fxhU5B9IwC52OTBY577EDBMBM/+lqnyLCAeAB/e5Y4B3EvRtwxi4vRaOvShUaCF3QogV3hvmfkZ1qfg85OJR/PhSHBe/bbiHeTsImlz5Ptb4Nae/f/5i+uPy0J9o475nzOLgoe/Ye7j56dLer9kdWGr/HW90r7Fux+X9asrx8rkSL4lYGoeJVrwEnLLxHEuRA7kxqL0yocLxXvpJ2ZrrMnS/s8qg3hx5LY6OO936mqn8bO5cWWuhElPPHSbJfFPlo3VwJyjaEUjtccg/zdDW1EPcDx/v1ZeivN6hAF+Swd2pcMaewqfPTAe4DjKe1fT7cPHtpP23REC8HphAsjXTr4hOeCIH3jVt2xE761+9dBRBczUiPUbrFEIOdKil1ztkA9G7Efdi4WSHeAk9MCbnj5ZeRXRr9oz96onqK+5qQcZNPz9DGc12ruTYBHt5ZZsGw48ZbO7s6Vcqq506Zgg3vnMiunHqGTGeF5xtq88RuD9tGKT+ZwYvx6fOpzfC85TwRr72rW3PJ73eEcMuXPMuh18n8nqnnWZ8x/Wdwk38eeZqjk9bZv5yBO834XzLHDe8tCM/U3HbAHOHlLJ0J9eG3961vRemkXy/83rXSwF/A04F/uEB8AAnwfY81Ksw9QFPJz/uZrBwD4jt8w1leqyFTz7B2o06m34VStNeN8K6bIB3lEoBzro8bkPv31FbAq8bME8k/nkjb9+O6eIVpUz+Y1DcgbIpN6Q8uEXMExlZsVZO3bU/ueVL3YGHBwbAns8Qj9gGcL39ZB7dnoE7LoJPwFHPus2JfPfg0bdFoMa7b6OD16E/evuQ2dTTkVWlE4mdA48JWSRvXMBjFDQmHkXDrE+oM5MdJ95+Za4PHZc7SUpnBElxfuiezofATM9e5ZYNHfwWRVESC0jshMu6hQ35wz9nbxmOfIwqwb0NQnvFbpKwr9X8Rp9rCjs1f+0ZBOI1Tau/CSFOGfF6x+fkvKOPu/owfXfd8mDP30CqjizbbYyY0vT2Hxlw7wRG1vWTtCeOL2oLrHo04l3Z3zDlppIwE0sqQCDVr79kcX0hRqCfJSdIuFHDlygHNaMeYCli+yJ51f7BXC1uAVpl13ZiJ4s+iKAE7DY+sdYZ/C+3BI/y0qcufAAF/d4ZyeH5NJsIOJKiBWk5bo3eeqY72ZjZyqodywAm1ti8//N6wGvJ/3eh1zntju6sEfNEPJbwO10bTblkkaoDdKmkJ/nrKB7vPuhJHROWP9wUEuHzZlKXk3U+wpwF9brASvvFM5Oi3eXL+WvrxklVOBsdOmQWPtsd1iStrKw2pLtay+7q47+yGjtUnGBdRTBSdqpdBzgi4xBnv3U28wXnptz0fqZayOu9PFkjWabkEF22KbD5f95IsPfRY+5oXVSr7+nbuSd4gxrhqgPXNJOLKdx6tGxoI7fb+gnCHl/AZwTMdemx40e6226Ap5tqzE5MjlhT6eL+SODuMP76XlP9MI39Lta9FX26FmXBfv7eqiX0m0sO2jCBhGXQfmxDkX0jjpyPzoKYL3bvF4S9DJ4eOpKd9J8mFqp7Fj7Ok3z9UQjl2usgynz9Ys3bOQBV/YBf6InzxtqzGRjmOV9grnucQfIhyQ5kr/XE8ThHKfC+gS4F+RDwMciamfuaexZ2qDOsIpJCojsh5Fpk0L8lQV73qcclfrj1ZBD4d28wXOvhMJ5ykA/sC3yO5/GgKE3VLaHciCrNEbNE33RjkwZ1pPh84E/JafIxR7qXMRwRoowqkfs6yfnfHCfZznR7l/s6Vk1PUmZNLmM51jKBHiAxTvFO+Tk6iRWt6cPQDYYT8tQoOeUloALHRY1m37JxbRtHHlHTaFUmivrzEsaY2/X7+xtZXzAC1JXGeAiOCeAbQxwoMaBz0wp+olu2khZvck6u6Jw3tJFEqxfKcli4CWO2CQHxa1Xe4TXlr7sncuP3IgVzmOyWN7F8P2c4xCQzu48ztzjpg1S1xyBYxYQsyJD2u/G1XPjJz3EFnTC8BqHvWj0NJFTdSJt/8/v8u9KdiGtXK3pkqDWugdb5gU1kRuOd4zktwYLmGhBbQ9mpzvk6D4d6DYnf4PscQ/co+bAZ6pIAhhlQtzM1SVW9t0rJfUhDl45xMS9azhf3q94x4/1XiXm72PM3oAXAf4Nf70kci8RwKOB19oj7YHbOKiLdfPZv7uekbring865zbZM/QwWditHA0TwIO15y4Q9b2yM+jbTmohnXIEHDQ8+ORnLhMH4ucT98bm9YI+w9iv+AlY+6Me2ECVeYHdfGscdzqJC8QVAnuhZbmbfAH6RMztQm45ZM433ovG8Lz7uqAr9KEFPHrRGxrA+ViyznzR8VfL9HCyyRGw2IvYtB/AT66N9+kADpi0mm8Me1Di3oXfsOWK9hXOCxOLvrYZ4N2bIe/n3JPlwXOFtu+zVIbkTnKH2BXBWhXNmISoxf6sz2cDSWuP3uhWKsjHr9Jb3Y+Qx5gwb6KTn8CpMr1tbhBfGfDZ1cFnfqqcGc6HhIycmLiFmBSMRwn5ykt+zIjvr3QaDvxRJu4pnp81PSWt+QSukFT5muMdhXamsfJaD/BRmY1tJxCTifkCzJE9tE035Sr3yYr3/7wX6WDn3E8X404jxG+iNwn2Vb7Wr4DfI/NS8t/+w9540dkUtksde4V8+M1wBtEN+yZOLhBjw9N28ur/PGYqGd01csaP79WxSIBDMXFYjIYcIyvZcuP/vcHzEN1RJrrW1pbtAXs/36FMSdhpG+5Kb+emvR2MgjXFGQQf1nGbrOCMryT6+Ymd03j2nPZaCHe6AE3v2UI+5Ahxivx1Du7fpeLtj+nbionsZgC25BJ9+X71YI8ijm7lx0Wjnwt8bgIYvGMfl7KJmQsnGjBKwoF3nnX/mBnCXlu8Z0UN9h3eI9aP3sbeUdik+3EZVCHupUp2CvbFkeud9NmzRvRa9n9mHTvwd0kIcZXiPQdyC1jjC+O7Feq4Nz3Et6dWqVoPzJqk9EOHF2Geyd2sYnqsHabz2Mbc0Qx7eFJgulm+9k/Dr1/AkAk3N257oEULMcVaY9lUy2TLRqy3Sx/r87CWEfrDZDirife9gAmw98D46F+kP83H+gPWz+cFiRq3vAF//648g7oewDl/+xxCxdlXydk/3TgSuZm1q1Ps7jLgCMfi8yri+Usv9Jw6s5ISvRHp4cQNkCAyMpJ5qEeGWAByFupOBymB97OYtvbJCO8DvVyffXoqLfSr6YORwXqUav7UA7Wn/FKcZHMVUlxzXyzw+ZqqKTgs8N7G1v7zpp1f4fzMmf93hbMCB6+8ShUM8NvZP79Rcq1dm5zi8tdHtXx4amOcSd70sHJPQ+PzJXxD76ODJz0IHcJs2YS9YZrbrwZYC+T8Dzg7V7ZE8N+ZSgVTlQy3NAomXmQL1vyAizjmvzmP3z69/nLLCtbWEepnkNhsNeoy3KQrk9Q3e+PZz0qZjdxQmnvTDr2YgU8ugE9uzUKWyqMX4B5Y36NqMG/NJvnkkURlppQN5C44e/Y5BIDzCXD9URUyNa6dzXC58C3Zp7H9UYUmmdWycpJebuSuFmuSif5eF82thhjFovWjF/+Bs5X7pqRZypFtG5+1lZiJ4a2bdvqpU7GCnK9qx1ylZR+pUwYYQyFub1QxuXoMYxq7CXz/ppL2LsgUcSeI2bBeWEeno2Q0jXZX3plW8eTA1MyY1Z/NQN9qq212v5B8Gz7rGy7QemIEW9DLqUQ9xThbAd1+aYYM+O5FKGEPwE+2jIR4B08evmPoOe63r5VgwXGrU4gPkbmvvZQ3c07M8ShNderYmyG9m8eXJ9cD3mcDeL8UcjV6jX0JwBAQ8weIQznEEtTsD6s+2WYd9sI+fAF1XqTn07AWZb6G9ymJjrE3qLlWW3OBnAFY1mzKPrgiR8zdXx8fJx1JmqvAK31rKW+TRvUr46wr7FgG/NKymJZyS7NmIy+Vu7uV+SVlqCNgk59cJIzDmS8dt6265AjrhHN/44kz1ERJIap+AK9/4o0kdW5L6vw56/90a0Xs9pKkd8B/CtNc6dNARhfY6QnssV0AnzaXshUQYwbJH31dnYSznzr6XGLfyIbdxUhWitAXCJHj/3oqLsCXPu9V3KyasR2oN80HZ33Lkdcq0gkv8Sn6wL3+cY7K5hTiQla0mwo14OEcwT7UcqMHtjWegdidK/1tOn3Ge0naP+b7XPgdzxpsjj6QHGeaOMv41pJ/fZbkVQ46g/UlirRCFYmk6MHgmeIAXBPWY3WyO/h/EKd983pU66+8b/fAOilwKUA5+oo9YVkB2Mpxf3188O4FMO82d0NSLuKOfa5mGwIPcb+UMj8Pv09rv4DXo65bCn/+3qjLHnZEoD2c62UJvMrXU5R0WR98ao+EiMfzTkepzRZc42evCPbwH+NgVTvkAJxmW7vyiJ6WgEFvkA3OTJEf6UzAPQF7w9mRUubA2fzUT/7TCtM9YIhjo1qv9OT5GF/I8XV9LhfSA3dErYRn7EUflA/qJjp1gpfSW0/a+XSlB3iHtHnj7q54lchj1jbwmQ1PctTJr4VzrT8uGRtcDzjeCnJZDPnBr722kL6ElMF+GjVfDdYJyVOLAM7ycDuzUVPUWjH3C/DK1GvUdDPxtwfx1ckXq+ulTQHlRrW4oPYAwfqjcVB72MVePrd03t29N8H7m+4N1y5qIvGROaZn2Iv17IGhpWdf8khWlQNrT2QvOLlWESvz1+975rnof3NvhCy50wKOCf/1iiBH7chXrdapdIwj7L97dbMkJXqh8X5t8y2Bs5p8KEl+fVTRN4b34g6semsUFcdN8sW69+ven1jphune1QywkdJFssoBWzUFC0TfsoNj74Brsa/8UXPnW5OebL+IrnEBkzDZG/Sq1ilhzx7OYz5M35k3F6UzR1Wk83860NKDbFUAps2l3wBWARqOnsjO+13Hl0oU7IVbuQK8nmZufzcxsYaToOpnUg9zXjtaGo7epruZ/m+2QlNXt7VrzuXjjrA5oybdkYcO64DtOnLUzjzUw3SpncvtWVuGd7bL1OrOI7PXkc5qMUnuSi5ign0TVRO7VmKdrkvmveM81wu5dai6v34Ka8049iWT6bTVrPTm8d85J2NesD1wyG/qkwFwanga0hvvEq8sTFvFF+DXTJeCJuiDRondVWoigNS24vUyqWH69XcwwAcyMTGa//ErMU3wPHOK2tPwrKKYtgLy8KPGUOisXLJZuAYwSLJplD40se3MIp20C/csBqZehAxwbdK4AIDcdgRMeat9/cRRnnbaEDjT8sB/w7qsCexp9LdX8yQdxEjJmBKzEUvj08GNNM42LnBKvDZBX2ngXIxGFwqY9/vZa8w3FrgUAe7ZnAVw8d8431/Qi3KhfrNSkX7Vw24BXnfO8G6yCEPsC1eRSdLB8ZhHBXd2bk6kYvLvKidtrAacsfrjiUW+VK6ZjCvbpmtpNazuD93z7vcOMc85xBsPYNimfRGQu5ohGLhzmyEfBrkyn1Uf3WiM3kXoLV8GmbqsxDB91tbmmRLXdLM7C9WWNCqvey/IgEuUqb9zj/n3coymREXZc29kZtk5kCv9TParU74+UjXTgy/fIE5G8DwT9/Ud752xX4IV0yft3Vl7sH83Er4X+JC3PjC/nEVvgCPZW/WxtqaI4Hz3K+yc4MAHnu8QvVVOynxp789NOrOuALcKJ7HM/3utAeliTMAZcWkBPecXdXAjB2eyZffuVxbiGrGvWkLuQZ0s1wQnadqTJR+5C+c/kn12/37qHjz6jpvIVUeVCBZNff26hjyIc6guKwvy6FtEzaI8Ygkg6pnFbvyfVt9ex6YUPmCihVH9sfbyIQAMn/hwPi65LdH3gMlFPN9hmfZrSiPnVgmD/unnNL60NCZt40r0d7ifojbkYzNLZwXYMwRctZ6AE0dc6LSWTCvIX0bN29JlvooSi9yOS+whd6uDG2qZfz/nYQNaJFexaA247ct8XCrquFU+hjS34Q/k5fGhn6MmiIXMzT0dAGcNAVNtGtlaI4AXSpx/fNzFR9m488uPbz+15mWP9/P+bhb+3yc+XLKPtb/3mFRqzSHHH3g/bVAyGXBvlCNHR2+kyLYpsUHdmw2zOLe1Zhp4ek4SjnMgOfAE6UCOdyiV/+qHDvAxUjrBz34hz9j7KiHuGM9xa2JkDrhJ91TXW9M2H5cfJlsvJXKb9UwZ1+gKMBV1ko5vkxj4LdYAk9z59KUkgKv7G3x2yLgEbpD8CPF+Uz2Fc8ie73A+uIzz6HYDfAuYlPwI9zFjJtJ4PacFfN4GcGNM7eG+/pSqhdzx7h635uM09Pfjtn1RcbnUsUn1AjHAuT3qh1hnSwFbNNvmqj4uv3oplZ/wg8d+UIc1RT9uv00PgC8E5COBjWQ+/M7CVOgfSXlSiKUFtBYCnyw9PkyEA1evxGVWXL7m8c4XisxV8eCV06m/rfhinjWiNzqY+VQke6YuIr1/n1O/PaYL84UlI84OwxoOsmNMD+vsGBHIX+wue12man3UwIOEc9kCrn8RceajVkY5mK9MmKu2uxtw3wq1KX9rsD3JDeyo0ibfrJOXdET8Mu8gzoWZR1Ocv8xEEElBogxZVeS66dB+QV6LM6XLZsNeGs+OrIuCxunvnNDQbCLPjFSlo4ac8Dtbsce1bfzsXuIM4Da8VJ2BpGc/a1+ugONgz0soOD3svQSVvYGnwDn69USWTrWEEexd4F16B5wZzjkkfjgWvF+ttPu+QGx/xt6lIdiXOc36Du/To7q0YYX1v9IFvqrYtSrMj4x0IpYQVmZC7+aWQ3zh5JHHPcDth2NhPdZPlMO6NoDxqiL0gP9fT13mYP/jM1dqcVtR2EfoaghYF/LKnyvEmFuzZXMam/PJTk7jyyvORKDuJezJLN/iD4KEKC4vPJpFPeqvtIesFE9fWP/H3tzsoQlOLK7Rf981llYCUy3v2AfSOKj1G0g5kKkW//hztVAhhHljMixyTvKjWL+xrQ1MJxzqvt//8/r40iS5C5vQvCNvuaR7VewCXRjSRI377P1+eM175rXuNfqR34T3514W7ZZCdFZbeVbKWUpJqiMBbN9Hbv7o+7KfjRPM2FNWq9njMeqdk6CGfZE7ZIDflCqcc+eaVVsqf8/XKAFzrG4Qd5FT55lMULO9RU3UPJYiAxqKGlw80hPkkhLedYbKABq1kcVqZeLL/dTbWxqvvBIwQ2W1D7iwAAwVpJvkYpbwidkgZxvsvb/IIoOYLoLMykkI9HJIrpD7gCtTiBEaeEggcE4ts+UK4vco7N/raTQhYggjZvS52QPv95tiGrVNrsciaRuAMLBHn9xhSYF3ZZK8Nv0sKH8/o4YjJ5DvemrLXk+o+8KUDveAE2nfEgbxVbssrhWJTuryTbePGYl/szEb+VOJNYGzV0EO1Wbpz4zo5zuMhVqPp44eK7xXFTTMxmSkbhgDtvyRXiJq/z0oB3lphhbyUvhyWCAOdYDri09PimDSHuqrt/7egbM/WpKKxx3cuXRkmEcXAZH3GaO+4MymwO1zqoBjAKdXw9pRcb/i7t9FjxLyG/BE36IeypJ14Ruc3SPEkcVs5T7t5cQXGUMO60xs77kD+RV2Z8ltnqqgLDvbwxl57vndiZBVVqQOFYD1HfNWdeSeDQQYAJse/h/i5u1d4OULgX1Ay5TbSFrgOoR955He5f3aBTw0oocyxEan3oafqZvecy/Y7z2tTyPpf3HUQD9QE1r3a8EAn50szpi6UQoYOHMgr3mAR3Cem7eWeuwNc/wx1nc+RH41hq/ADyGWtmH1ernlI5upQ7EmCOvdnhUAgTx2n7WUx34wLrvkr5fiJNYrBc9OY+3AUfYOjutX23ZV+dMO7zqZWjmQAz3p0Qr4+AVyUw/xcylhH5oOYrQLIKOPcG4b66ghYEVXkN9ex7Ncwg+lopkNgavHZjFivQB3WjVFezn9h++BQclKaKxHYc9QyHpdiX6dcMuO3AOUL+2r2U4QuyBg+fqsZe+nSl5Tifrmn09drGs9lsvDB6lgA4ToS9q7AerGsJ7QrEs+KgFctksgrlLA6IwKOT3OeiYhxovVTUSo45AUZiEjjYJ9U5DDqU/g/QVj9pjraJ97Y3MaEtR+asueFbSQHw9OhPP9YhWYsb2rwWRVITFueydiDqlqIf+8u6fYWNRhbLDm3ifoO+0oqYFPrjPmwxm37KMG7n0a5meu7PJoFej7ejAdcCqICVolR96ZCG93IH5xmV+cUrWKeQQwbRvQHnK9cFGfN04VS8rFvjDs5RunM920l1rcrk0/XdN+VhX636j/ebYah2SyCHUd6Wvj6JFZej+SCX3HP8v+5pYL+eQbnTbx+o48j9vdzEh/E525Qm6YNOyR/HE/FJSAw5Qa2m/U9q4LiZ47E/bePWsOpTIz8NyiQm9FZwLWwqp0bDOIkb6APCSiZFXnlx0f3P/qH/0COKh/9H45iXeC9S4hnlS2/Tkq9npUZkG/P+AVO+BhPzR+f87QXbSD3CYgEmIUvKsPvU1vYrDofZ3sfalT1OJ1KfqsIAb+ynr9rUb9CbHpoaXKuhKwt/4GjKo0sXf4Pv800rhUvbP3dyvBk2e9N29cg3eZ58fMqWd+YIe8mILYUyeA/yXoO/yiRoN31z6+U9FPMfDvq+4bb+9Yu3fMZ+ok58a73czm/Spis0Iv72MsR+C9FnL4Uy/ldlSZA/jC3fumV6ScVRduNeJlV3Z0K5fMa7P9onPh6AHyOvY53Mr+QoBTxCYCEDPg/PmEMz04E9sJ0f7kkUzy/HJM4/Kq3f73fBnsa+GAOXtb5T36bKLWpHuo7IQatzMtALRHriNceqHj5JcQ69I+EOjNbR595CyDmBoBX6SyC12zaVFDdN940bL3SCmG5rleIV9swbZZgN48/+6e3eJU2FIXemjQg1pB2Ij1nrr6nAry3UjzYbx0rlVzTjnqCIR9/ugDzLzaufSAicNcEgGMWgPfgD30O2sG+VQK+N2uwHlk++4AH9R4NyN5uKHkn74/37Bzw9ttM0qSb9tZCnrnkcS+ypTFArWPw1xd4rpPbunrZai2YZTl8L+LLPM4eN7rfagea0LWAyziZz5VECOksvYHcO9edegn+B5Qz5553F9lp7/geQH7ABaQMi+tzeoetWRYzLZtqH36nW5ZB+u+ZL1JAOO9nOAhnucLe3+M27LUJi81Nz4jEKe9JMvva6lVS0s5FSXOcAiKc+AOE/qC/k/wnbtasJQXjEmbyLpIr/WAulgkrPrpU+CMnSKoi/HsZ8P71UdchudIyhEiOObpkUnAoj/apQT4taf95C0r7OokLoEopjcOHDx1mzP2oyjAArRfLfRx//vpGMCRNJ6AQ126VEaz/vjz1O/15cgWOrbXioQuHdLZuFOc+qyE7yvS/vbo1ZLy06+xN+H1MlbF7iYHeIdqbWucARMJ7AXZCi5f6tFmWdeivlQmfPONfpWI+f57h/C7YR/0c5kptirdidU481jQV+BQsho+F6PWvu57eH73TRQhahdVgK9CKRJbjtNr6Sbfp48/SzpYW8XBS+2RsNmSm+DkRXrO7aR+++eXUxwsjWWFfL10EJvcIyejkfolc8yee7KTpO2YkHsB3BOwaNHAmtKBvdXWDvwRs8w9leR++rjkp74MsnESqG9L4ffwbXk7Sfu8J3pFzdx8i55f7OXBr/oWckq/0v7nwh/7slwdYZMe3EQwd9oZ4IbwjJRjzeahCaoj7Kc+craISOIcVXLcJBjcIsDdr5AvnjxlJexDP/leb+3t1Ef3rOjvtcDeS3rHPvNT5KKuQQoY2FLLhkxSN1/Y0Yz63KC/LyeX//Kfx0d2qcZ0KR3bi4UA6dzdqq2dfzE2h89fdrejTPxMRreyw3unOWziyxF4C3CByGvs3zPfGALnLRDe7SwHeF5pb8D5d/V/ukq1Ow0NZ19maHfpknDAz6iP/dIAl3rem6PmWV3sZm6TAP2/hIu+YeGNjXqbW5pALHjV3vpz7xLnhBpidnroxBtvtdrjvrDhuZbkJfVI2/RkTtUF/XBTjAUPPfPCPPvZ7syyz9LLzoprwEcy4gP5wJyneFgct82d+Q28U+emYsCtwvjoYQk47FOh90JP8YyHYoDcpmTCNjbkIgmMovmjPiUh5nfkeZe9g/zU5qodgXu2J47aXhQyHZkgLvUN5NhsMZGO2I1hDX7442kvGRtg3oDpNezXrUT9esEGRqYo7xM4W499eWNucxfe6t4syXO9GGCYV/7P10znW9bXPsvq8dPPPi4riE/2WLTflWBHiH+wLDblwN8Ael8e/MoDooR6FZbsgbdFRxFcRZ98VXBWKNaHfbzDf86afQM/m+C9riMTkbuJ50KKicDOz1ihX+FziIrY9F9v6kcqxD2Nk1U19g4j9tv0OK8C+67rPeBBxGyYly7t0GyTCT3Bm+GyzRz32cOZnvK1yB3s36OB9voz7IMcMN7CrV4aF9YQ8Ll03IhHyVFE9Mo74A5FYvMl9VPn28F+tnJggEvdW92TovaEB09CtSd/Gi4pHfpnPLxTl41iIxfeMZ8vAPTQL3twP6uhnXj/56o7vRxcdmyG6TWP1m9imKKGlAFg1rcMMCje3Ryj4IHxVK8BDaMOgtwJyP90C9gEuM0T93IH4rML2HkwJR8xaJKR+SHREDeBEV4g5uA8WACxD9ZJq9Ixdu+5/zxb8zXwjSlkhXmRkgkGcaeK9MY4j74JKjr9khfJb00P9ixgf9oq4NyAHePmsQaR2wD3brpwI6PSYTb8qQDX1pJhd3uV9TNwZIglg7xTpzmbwUVNINRi3AtvPeq47TLA9YAJwmrzqy3GAY/FuZCvWs37KnL32qEh9goLYZIjsbHavqOfD/KDDcTEYzrQN+rp61HNS+MlD8+a9L5+qcUK+FBQmShx82haMp9EqW9g1cWv96KB/dqo9U1td8DTkod+l+izK5xT7Ge6/6tNkm0j1hEwJkaJRE53hufaZagPhn6E3mUo+wA1RYFR/IXv0hfprSFpt4Alf3UdP6iYPgDvLbkLWDx+9wGzPXUOctbTMQf6Jv1yxeRfVw9sLq0cUG8P1jVTGyYPwOko4Bi8U0x9PdDXy0NnCbUYFZnedEye+3CGWDsI3jLtpUFNIG6MqDUWsAr2YKn0hJrsgBc3cHan/OOPyxaZPvw57NQagVHTHCBWB6WS8Ql4cN2vzlyQD8CLNlfl0gz0WZ9fNc7OrzqrGpF0wiGFdOQA8XCWUbvVwMdTu7tnwLyBr7jAzz8anp0Bn31IX3/mBL3g3PAUP+ZIQzG2nHsAh9zkVll7z2V6S4dnTe8bMIp+KX3zxsSc14/7YpzLf2g5n+uhPEux3pqPP34dvV9Z3PrGe3BU53BfYz2sBUz9dlSPPniaymal4rVr/tUOrsZN7ikvnzVzZqQNRF/iHWMPXGOCOHqH0HTNcEaHfN7F4Nxr125SOX1q3CdEFwdn/ZE5dhQyTAAZFTyywKfoJ1Wlx7w5hrNQybj3ykLcgMY+tfse5x5ioK4B5QCGhNzPXBPLt9JrgR8SH/II4f001/27A/t5lX9cNlknv8QGNWSxp78/7x3gxYUZFHBUXH/jtxOL10slWg4c8qmzlGv00Oltnm8/b0LJRcaXQnVJ/6j/qbVTEXPJhvKa/9MShhhpI7pl+0pqfEfH05AuRkw+cIG9Htx9XsBZB96au+0BNWpz8Wd+xkPptyPwk+QUSwV8FmdBCFsg11v2WvaovzvhvfqH2gBJdWxgSLQwVd5SortM2on29lrF6DdluryL5r1ziRm3DPjSrhSpp8jvrNlZW8LSznY4cwpcL6rsoydvTwfaQuwfDh7bAhdpzVCuSlvOwraHxqcCYm2fejpRH5eu9ugLYJkA/R9pR6d0NAVz0M8b4gPE5Cc+rH3zVUeATfzoJpzIlT5BjcUk7+TKPO4EdVEBltkvYctty6Q3300kbg/vzI/vq7bw3OhcCTkJtV9Vb2Y5JCvVr3fVoJNc/uL5mXZ2eOhibttXvO80m/AljQGTWenkEGdgTyVS6hJyLUQR4HVxkh1c7bDi0zkViS/gfaG35sGTgF3sB/CrxSxJexpNbzj9OIrmWd9IS0Aep2E367GZGzFfq8LmtJh+cp+OcNaO2BckI7Kv5W4+qYtKHa1PfdI16NM6MsDFnzNi7NLubpC7X+hgjtoJxtJPg8pxkyaannl5bizdQFxPT9vnnWE5s4V1fBO+IW88ASZSHYFYR44ZxuUYsL00K+naL9R5TDvy8ejHcNhRuo8736EhcB5V8gU4yYf8tXnuQ8CHgLOmRMt2NjhXHRv0rBG6SL51vB64S6KyRz0r+9MAp6wJcKPRHPcQNxrUzyWAsXg7n4o2Oiz2dlhaqbt+5uqyU6SVuf+rOeNUwEWBT2INspSchkZEM2CLrkItZ/TDdMlWO3/mdOjP1RJCtESMDblsgT26mA3eDdCl9ysuXSWMVZ35MpBnjmK2medemEufcxxbuZD9UdCSbwGvyPB+2iSbstPbJr+8lXDi9w7t0KNWRS5VPcmZw76PwlnV3tpvPi4X4HTf5ccfOA/At1+/Z+NBru3fF8BRE+p/S+c5e/vtAHbsyvufoOpEcLJ0C+fca4YA61pMbXUmx7/XA6BHiXu8v1wrl11gfULAizHszx9OqBak3eeAFuio+5qjH7stebQWh4U9ekueNSLIXXnumfahb7ORP/VAj1wmSwo8M7fCOYpJphv4nfKBa3+MYug78iGdy7YUmonetYAL9ynq/LqRkzq7sx4+nTQyZzGs1an7nSlGmjTDe83yiDFGTMiHwAIv9sU2cqoY+PkDE7SvEPccQXTbEPPWEPYiAKOgR64o5Evq0Lks0Jc5cVLAyypK0UvgA7gyEGr9rC33qpfJMWqxn7TH3gnUE3r0uHfSGtKeUSMVMmsvCGDoYnqt/QQyx/TDpQwOiHUL+FyxDurt7rr3MuCypZNu39Evt8/6dAU87alTcT1ttDoBvoQ4pUsl7hArtgefniE2uoygJ0EITEEDxyRfjaI72sGZFu5LE6Pa0XpEryv6+sfJ4x7yZL8YwGnoNUCjfzkw+5/H7oHz0lXy3T0pxLUsyce/foMaNB774GOybwDHZeKyaQTsC54c8vyi5eC6kJ/2wDkls1KlI/nIBucmu2TRrrQPPPJx0YYkV+H/9kgDVydabsnwmLu2WP/TN9b9PVOcH+8lzT/WGfoDcUfK3EEjknaSnAjeZTPlVKHfPY9Sx/Szz5R5UajRH89+VcixdEqHx+v/zZsD78sgdlSO/eGLGfdOq7hn9kahL/BEsW/90YvaPbCNrr22O3i2gzgyA5cD7LKOGxtdAatlbECfvumFbR/zLdkBYnrq7Z532dtKhiHkoo2InPkUsxL28Y15j96Q+ZRfALdGc2rbt4OnOfrEwJkO04J6dQy5h5e3I+lvcvs+Zxwi4sef82mQm/z1j3/cvnvMKV12//OsHwYmv/jA0bJqmL6lcl3tsZ/MTn0dtx9lEZ6lKyszlktqm0B05Ave4SA2SUKHoAWs6+2X5lZxSqoIuPKSrngXbqnaecCVtb6vX+H8PuuHD88gwLce5Jb7v7vpOWXbxBWCcSAmn9XDX9R81q78gN/zUxb9XRLL00KLOpox74ToZZvbhMA+edz5nqLkC+LCclJtVkftU8OEoj4wvJ8A+ygAMwfSpYeTNDzzJ16OLGg8C/s4+AE6/aqEjXPYM43DIEq8B7A2wJcffphVA7Ffqz/oH+Ckau4N3u1iTan/jb0f2bJzOGJD3nuol65Iv1QjcSAHvWaDyZXSq7wPFsAwE/CuIvNNYRY7yWIqSpldGy9dpRHGFvgMcbsBxw33C4saiLL/ekvcZ19KgHHcAMeV/TyixwxwgQH+iemmP+O0oYilPllT0de1VZwkwBO/KrEe61EeKgLnSMkrHdt73Ylz6a2DUwR/z9cVFfPW9LqA+PY8y75Z+ivg5jIVAS8l2+jO7MXr+kydOTaAr3PH/Bx5gvPZhxTyKeq3cC9ZAU5hDdFKi3bG/oWHVlyvfxoBeNZb/5TYqzoCrvWf2OaywLqHutB+E8tNBrEK53Byd1qdBsAYjsE+E9ps2Rsj7cyx19ruZsBV34AlruYxl6hf+f1y0KOdlUB9S/pNRZLDM32WqPM20ueMz6RUa5uCod5xkker26kAguq2Ld/YshEBhXiVZzz5ot70CniJ062+0biVRswTdYlT8b+QQ4Ip35AhF+ZFOEEE7ydm0rwZgd5bv33Ll9M2dTIL72NIb6ILI9gclxK4i3QN1tmmUzxx6qAPmdvC9xIVf2N9OHjMBWwBH0MsPFlSscXu2damJ/HQbgS83bYV1oid4HmXPZ+InqqefvFI3qVoo5z0PnDQDmID1T7x8k3qs8FZyhF7vyPvNNCuxjtf2QLmJkfmzArvNEpvhT2jB6bWOh2iuY6CmBLioT768270sOgklWZmw0Pn8wxYb5VJ1qWPmYO/Ad9krtmQycTJFTDtDy90Cng6l0NrzZi0adF2KoI84lCIT4C6Yz1pP0ngvETUhplxf7+ryhca74G/AW++AXZ7aF/m0rzuvRlyzd8lhZ2WisvUcIM+Vz6P07kak3M2pEEaacCL6wz4mAuYlz1mWD0Tn7i4a8BuWWHIcds+6700HftFLglqoqxOEHNOor+ir2/WyyLLLwGc0DcFMRz5oY4fGiVXwNOO7lqbx59zKcNdivdVI51Oav7IhP6vR/rzbv7raXrW5xkhm9qZVoAdt7C/8eziHECL/JpuzLGKL6+nyFTGk4ySxId89yI8+b33voOGyH9zRqJ0hPP/+t8IxNg4AQzLIgr57tkPgHczmUtmvdglg7x6jBpfv36vIGytxEizxtPwloNV7aInLODRbfuV9c0sYQ/JgTBp9erRK9cnI+SJSykSD3DJwyfeyDA6bX7v9TRHeVw4FKcB79QzR0cOal0PsO9WevhzTp11RBVkC/T7HQ3sA/PaxO7lcTfnNx568sBZe8nEBBgb45qZIQe6YsvOaYG9Hu5zz/tisFHtueFpbM+mb1F/IYLIkpn7xZNj8pMDn/2nSQOxVmR3te3P6Pl5jLJ76iXXmoctaq3D+kqsnQrVOllhAbPJIB+Qq/7e3VDgej/Ad8faZ2M6asBzbqJie2sGQ9Lhc8X6aeJj6Fbb5AL4bAbMuQCe3AjHVCf4ncyRlAsKmNp69Tbx8jh4ycbMhfiLPUyRiXX55HqpNy1sZNeTFLAyrGQj1isDaorJloVs9ziXiPE9x+e0aeOsz2W+Lk+cTmLDtpXQkJOnDXdsAeu1gWdkqST7XP3x9z6ZK2d67vlP7LV67CUlf1ghqxOxbcYtYIxEMSnf2OYdMGR6TfvAzQZ7abhOsx74lbgIuRFX00U+d9ad8YIuJSQwgJEAh58rb/19jILwSMonngdU9ekZa9tU6PmopFc68wdwrLfTYH7oduqAC1dVlERm0T33IAwWdt+4SVt+XDwxfs61t7rvXfJ13Njv07a5anU51Pz9xvzpq1b0h+aXZ5xHvUnYY4l7jOXARVDgHTa8Tx/4FfpB2Bx4QyZkhP0UuWi7ZjGfJv8+7/3mrOJ5jxhAy9BL+7k99XOXk/eZxujivVbALRnq+v/3XVesTfFe3PgQXYFXRCcSLdLaDeBGyPUJP6DfbJedjTSBQp321++7GojMpbzkflswkagU1a35bpUrMmhL3w6OsxI94Ak7VTwKnnvjLADllGMbA45ISjfcYW0yhVy69wFbKfclk0kJ/DmDd1GYyL2lMpSa9PfSZhDXTdBs02te6FsTBT/ctSL3GHpvQ966XNE/xXi/nIhqzEtdMlFANxJrx8K4ZdEyNUxOgx7V/3Qac+BRfjk0C/BhwEPRuR4AcS1yyLksG9gfVfQeUMBn+ZameTRlpWtTQT4BN62f91/Ro0Y+hl+8E/dKlecjatfE6VkLynLSwjtnuuksfGa7OhUaPpdu8k254sLcj3GSsOgyAO/7hDy219E8Aytpgbf+GMdAPreuhJz+vIfNRzM3w6e399+XhtvPunffHjMfLoN9h15H2eoIPDh1Uddp3tSjbo9Ce5Lb48mWPt3gDDHZYB+F8UObOw+/nOjI++DgfSIHfNbnH3PwgOfvMl75jEwfeZS8lAvN8NwAz/Sr4bJLX78XoXaB4Qn6YoWn4R11C+MM9qookldVoIcJOZyI4ceN6R71rI4J1QGXJ+SpK/ICe/jtwSMHcpdOejPLblV1yRfgDk4FYCWfbJroz1UBL5M+9p5GrubWp4Vl1WjwnvxwUtoX/+o0H3qrJ+oxN11Cmi3h9gTr+Jyt4I7bHbdJWjoBg/8WKzHjLFIImAjO9jo8CTIpYgB1GCHc9gpn0WNFi3c5Q0qogrw+lWO/Km27A95PFNG94iZWnO3NVnuN0zxzpVsO754upvi0ecyXuHwbecZzD6et2Z2KdmReeRXbdncUyRbwcwlYx6kcqWEPftWx9NJFH+F9OzjrBe9oaLB3CfCHeGigNDPEY/rEG1UfAE1kr9Qzt2ZDrnUXzZkP36Gec1K6hz24nPhjNvBWq2A0Ax0goy17N+zVKAfdr9Hj9546lzlD/baOor4U8pdHP8/zueB3RGWXXqnb+KfX76sYE6vz9csp/lyOwgV8OCsdi6sC7JcLSDlDEuni89qg5tG4c4xrgYubPe/JaylmahwWln7yU/nNw9e4iuWzhzMQBSnr7TQe3HB1LCL4RztM4V1VcxVcO1VsX0tLvZy/L8K2Tr0lThoxLe10lV0TML+8HonNcjLtaL+74+xM1SeDKNhP3X8vKWDTZ4wCDsdLeD8mSljWtW66CV+1AwxLmVRExKkXedW+Wenur68KVgHueOVDEtRi+qfnFUvYs+t9o7SW+R+I826GNYPc0avSfT+Lze/e8IHBv6RSb4/5H89w6ade5J9iakX07jO8n4wSDf/8O6+e/YE94sLeWwFHgogJZ8Ci55NJToW4sS17lX0rjkTSbNQRvK8pc8yTm18hTX5X0ro8Sq+AOfSRpCsKnE3ZsE0HE1ab95WAc36M7VaN+iWPWZ9yNp427As9I8WSAD8RV9gn35JArLHtB+SIDRPWb5wpykT0nE8pUOMOeAHOK6Avt3dA7xzgv6ULsdBJIO6zL444y064D7EnelfJv7dMkqzs7U71736jWo3+H3uHzY85eKyNbVpPiHZX/b/1qoZZGHF5YSrZMbFzT1uLvT0KNYaomzhZp+dmY74zwQ6Ntcc8Mtfa1bPBszGUjoomyLPss7YkP8qWAD9CXahM9e2RcvPgHk8sWosmkPE8ZMDjxaAhh9kx98298uC8dsmHhh3OFsP3TtuVqt3kkBvZIKMKOS8hR8hVBSsMBa56KR/6b9OVKv0qujbL4ynWXfNcr9UJdaJlmNWClfT+53zML5koJKsKs4P3uJUx6jRBXryvk6rDfAXxR02kWdgr1pGVtaEk5VJhv9SGHlQUBXV+iVk8c2y9AbxofzEblysVX3TjzS8PbhCTFL5/D9jufoJzcvBDnKuNm8W+AWaH57IZrMlMLUFH20oOlzecjQae8UaXxk9FszSb6MzUpwu5dmPGX74M7ysMsp6E/OMSi61h3E6ttuGgARVUvPVymS3AR67HDWDi/FLKj8tPvgDP9e0dYlcmfcCX6pIA1orRy0A4wJmBP3NvfYYzD7i5/9V2FiJaeGcmJdwsFSxHiY2aJN9CJFrH5HZS9pAVIepl346vkIMBN+Gzyk1C2GBfc2/tov8x6p40vL2WThuf+gvkL7ktO+tXavXkDgNbyOdxay9cuGUFqKba0JlKnD8zJfpMZz0Qw0LivCL2vGBPoAK+UJYjak43t0aRPZxXyP27a461kF7mp8h+5tHOrf5pBT57YIZKXaRxLsOjj380sAMvWBuZjW0hbtOPdGkWzZOc3r8dWMsI3l2VLdgXoquyn/flYiAf0Dgd9Ej7APbztBd9uarR37sPvvSgn/6VwLdcrSE3n3rnCjkrVUN71s7akT7dK1kCDrIHgb5iJAPsQ4APybJ+XX/xYbcA9hoOnnPXg0Cvr+Ao4cP8dpIRhRxMkJf+pFHw9IYjzFl5bJgu5TipzNNzLT+BD1us1X6ctnBWN7QFvOMjtpTxJI6RjBolrwfnGzCdzR4agr09Q8xy0s70KbCgekNDU4ir3iYF89nz/ivnzi6ouE7qJUQfmBg17dKeZnKxmz3kd2PDh4drVkxduomWZmtXmfynD6ai+c4dFglfbyEPAgbXrezoF/pTM2/tMe+PSwFPPesb2kMtCKmEfWilJ8eYJKlD8tKfNifZAFlwYY1TwJ7GO3iBl3Z61PF6Pok5yyG3qi1DPrDUvozyvs0ZnIlM2AB4DG3cFDBA+KsromRzzyE+U6tl2pNEuwCi+0TCedmfpH6tOr3RcVLhDIXchLqK26+HVwtvgeeyAvibB/GlSnu8VxJOXcB6KecmlvBLRHahfvv05UyO+bplA9ZD9EvFjZsL5tePnl295I59zKPA2f4C3NApaX/yj8tAN/3tJOxZKXZsirArUd99sSNqxtevf675v1pLsb8DX5Cf//MpFu5wjNZZmq9zI6dJcfldeehPZHZsnDrjoK5P6ovtp/N/VH3bdqs40+0rITAZy5eLGIGxEUHoALrj4BECAhOb2Jin3yWvdr5/X/To7nUIINVhTqlqlhrwwHvg5k6rirzeVIPKGjM3VnvvTdDbsp8+iNEx5rOnADNWtnBpsHmdVQ6A5z/q9z8bYvuP2McQs8QjWyM31jXEDHSBpwA+2Y5gyxBIzdkX0mT1TF3UR2qZmEHfChEljU0K4EdGo+YCMbCM0eQUY2pL9otFMyrSO8u1SCGmJz4xM9OR4M0Hy4W5O8gqsLnabomZRUB9TKnflMJv3wEnUPAVP5XbArD/fOoigF2eTpjnUsBhgIEuVDdvRo/vVavf9J+XI2oBzbj3ZmgjIycb46mrLOxTUd8P9iwEmtoyxAvYWlJ0nw4gLdZgfDv1tKT+dIiz66bcmc594Npcf/2nY/oBedjNxumlIVkCxwlPu3SjNLdTBjjHqhcq1IaZeU+hRjWjU9Gr73L3vCP0Mj9FZGhlxfhFBU1ShyKCNVPwexm830/mWxbs7S0LJ1no6Aw57XfWczxiL5Eqyh5/AG8UN7WSpclhvQHXxoAlTDwsuwZ8VfRpH/G4azcCYzsJfVfw+Xk/mYQq4ggn8Cyj/0oVmgrgPbcTFgcu1MsO7TL0wJQFMPPWzHCAlEHTo02fd9UQQwBrCzeWwBGD2Mz7Xfha3wG3RqbVM35srzIHu5MLh/h1KUejY7KEqfDeiD8zMZoY0b741w/pgPdrbOKscxr1oeRn+2R6FTReBd8gEqhrYW+vwD2nMj+bXqe25PidiOkb4ufb0WqtZtffwCaV6vwNfNOtHtWeDDPENC+qLfI6S9nVAfhEDhxWT6ZOxknHaSN9cad5cSej0eF8aoD6dS4uBUdK4nQDGCZNAX+aWoDUaJDh5gg5O2GAV+RQ3MoV+EFObeOz8Y6+6qMibunnvBSI6wLw2kQGfDfaW03wPE9cy3zyq67YAAYwZ11IrPsVcF9/GojDA3dPu8LUeRTZoAA3kS+SzZEaRVtbGMcytQ7Ob03grgpQDuv0lvjtXiAsFHdbwdEeONAoIeYUDh1if1ENbh+Asb458F3AQ98V2Br4uc0RtyuGJ8AcwHe8N/DHN+kXCMjFowrIDX7vdWaeM0fRg709S8if1YpRZjfHjHlmfoNbhsBqAQ/KXs2AFfK689cGeU4FuONgq5YF7oabmW55C5jR9HV4uwbihJlvDXh/qOyoMP2J/z3LNvV0EHc+qMAfpN+aWcJT5ZBCjHpitrpDDLb+6U7UG+KjK0R4M682BD7tm7qNbCSJyWfFgDa1Q1iJ4JliSmsb+wLiGHV+Z9F+ZbwFDKja2DFcznISc4a87p0DcJLjGruNHZ1LpC3gTpmwFviO+TkXQZk+4N7MDdy+U403YiBGk+KHwD5KOZs51O/V+umw7ldTVwAnzOIc57yfpZn1LEORAqa8HVf9gH90I/cXPiyXWODLU3fusfWaYDHzpS0OGLuW0wPyfFr7Rmt2b7HVXxjTD8BuLl0pKu3tK26MqTPFBtMRDihcNG/wLYBhBHABOme9sFSwmDPwpfQXbHqy6Nh6J8AcMfCXFE0E/NwSg/sdr8055mSXDVMC3GniYG9pR1PI669+88DMUysEvgpG2mJoNsKa35P3bXL62qam2jAeIJ6OIi+dNobv2bCv64aZ6aY28GTgyokw90bR0rC/N2XtkdHXo2CjCf68i+F6SfJXb8XMjyjeKN5mSejFxJpDwOFLFvqX42POpOlrWvcucE5XiSdf+ahWShvHB65EAS+YGnGxiNG/m9nrJ90e4xzyj1Y2N/OvhNEk/I0bgqG9OTf+OHWfDzpYC/xMDFzgu+DcioXXEuyNkOd/Sj9djyv1njPLdxrF9n7Ndr4F3z8y7OlqjQCz6h78S8rO1CxOH2aeuMnnv2d6DB+ljDclrHrs8wV4aKqCaVGAS5J8kuZuteZ7VwX9XfkuOSL6cRpjxI3u8NdWHVc8VP02I+NkZhs8NSkBhc9NtrWPTgyx+FdH+iAGoSFeW4k8b46O6E878V2OZIJc7RktxVr2CGJhV/HPewnY4wR7CdgpOWEfsX46ntj+Tvt+Kcboq9Qiqxy+Fvn0UeQ6F4HOSvS6T5lxiURbMfDnjrRHyDtF3iLI9zfaq0j25M3U+gO231ejzlVHYM9VYs6x67y5Ul+7piatsFJUcZKfhn5tcnVWkqYQz/wq+7M5/q/O/KBCmqSrlzJMeqPXUQu1Az78Dpge14/tsRoIIf3yoLaZZaVNHu7LjgOXi75PY+TEkggi6CxxNFFncqXwrXLQs9DkzvNICuc14+mKDgjMZcUF4EbvtGs3DUebKsdlGSDgZO3YIBqr3i2zcL+eNL2ng2VmH95rM78BeV6qScy1bwHWvpXAC6g1n098eyG4v5n+a8AmLy24D6PbnvlamwsfhYDgrpifWO1k9mxXpjbGUlNtk2/qtGMhUav4HXLJDDwc3SvAlgT8gnFu6g/WzO83JG9updz6CcYT5BUzT+6Vl92YpZaZJ1oOOExtowtq5oWiW2yjOfZnDthtEtYVlaLJzPyVmCMnyynk2/OGDOIN/g17hSKya/tySFfIJht49y/YS1bY7ibBv3Nh3rJ+c6n9xkodKjMbSbA5QwVnEWrKxXSu86io/Tmq7M2lGSZzVgTvDXEqr2/Ag0I60GPRu+Zdllj2j9PgX4gzEckpeCTgPty8OKwscWQ0PjnkTNfMmy1G0pUOEQw4WjycVwGog4WeloPRpHb39XDdgK1ezBwJhnRW8+07QXQCe/6OtTjKHDDzoN4AWySQ02jW6xfGzk/B/FWMXp6iHp1wW9a+y2p7OQLOSTLLFBTWl9R2/WwXfQGmMLb6deL9pvKjbwpcUsr6LjC5CFu/lXzrQH5/T0U7KwH5GjdhsWL2OmejuYqazoN1RKkYlh3Z/bVK4Hwxb9vMn01tTloLMtf9eeGmoiZwdeyQ1vRgFj3ExB3kWNYMgKTdgguH4si0s3R0WBbBik2Zt6+cgk/AQZh1tmg/i8zqEe9aXGF9zID3Vny+gQ9zhsgX4J+bGID7W2CVtnvIAgz4SrnAN+Ebxb0Qe6uSs51wcmfD0p78BfBwq2ner6+awJNoY8AlGxUUNtuRGDA4NfsDa7mpLL1yp3YaEU1smIOM+WaeoPHdJAmfs9vPJ2bqQeiBsRRie3ugDEfSR7rE6toEIj517ets2csCWNsQB4BRN7xX5qgEbOWMJGCbyrbuENvigtNzyrw3gWtzR3YXPQE7wbBu53uGm0fTT4AJqNnLqwQ+DHaVGs3SJFeZ6H/n3RQn7pqZx5fGAjsWWFT+DBF/ewVW2x1RfVE92RR9dM8kvYNvk3LVEeT17AT8+zS4mstGMq6OENuFkDOGHB0pDmvDDbaf30X4269nHRC9pD1fRYgTNUac76If0RdOLIwePS7Bvi4cCZdb00fJ1Hctpruwpq84j/ABpZsybKmZtVRpdawwf7DBLQEPlbB+jzgQ30fIc68aM9jvh3zffscSXUtRQ7yATAJrDFzK+M8hY5RKf+umTstPvX5TFvJEDrgWqavciVgIlVV+bWbqbChgZeDesFfN8YTJ+6lvv6kk/5vnuyMBG//emN3A3gjK7W2g3re3SrYzzZs52UEeybZWZaFFBk3aBIjW/nZTcxIDLruLMdrDem2ovd1kwbRpHnNa5kardnOXuAXsoV93ox3gBq9GnkzeZ0p3EIODFpEex4DN21IX9mnQH4XzaQHfDiDvIbDPaxW2GeTrzNhS0VGW5PRG9NkGPPa8+5YCuBTglGbYL8xJX3h+wyTNj48/i+kLZmsU0nDSpyBCZBS3OvRyJfBieH3l6LmAEJuNNKGoX6jVQC6NLDF61wp4DsQoG94zrY1F+oVTAE6nOaSP3Hudb6wJcH1hdK6tRtedulVhf1GCuHzUigXtLdsZfcrWK+zPx7PWuhfKnCWyjl6aHHPAoDHjrUwHAIs+YHsTr3mk0lx/Vx3mMmhf9b2uDHEP33pPzF2I7NfDqt8gF8TpGiEpkVZdE9BRebFoOza2V2UJTwbU9H0DDyUI9tnjfJoUhxxtAVTixYMb7Yt/Mxfs2kb4F/daFPxjegMuSVMzu25oqcLAn1dtAT/fl0Fj6s2L2NqutRW1T1/3CSwtxExBOvm1XZsB8RpyWBWazhtdmlmMcjS1CmgTa++VU4xGn3jmlF1xL5zJZ2E7pdLM5Lo7jT/9AM8sqNSM+/6tYZEHeOku+NWKg2XmoUcowm4lKWBgsjv5VHIeUdoDT+7VhwwjgODeC7PFjSTk4AAOdcwMqEZJn15Pss1rhEcOOLkZtKMs901qtQe76CEu3BkGHLmLULyLjEbmucyjqA60nekpSeFnmJmusCbf3L8i4c/X//EUN4NEDLHsr1PvqEzz2E4ghtNgmyQ8XY6ofctszZoc8mXXXlmufvjY7rIgvtWd3hteKiVd4wH8L2/DNG8dg18gP3EpWrvo6l/NtMLoBazUaEV0Zd47LGx2ypqPKSdjytrnnBYV3E29lq9s0lXj5wbeFdIyvLfEQ83bgnTNwtZ0raUyfVa0xHhfWgWCtTH6la95HA/AjpMSewe+W51yOtfDH+Cx26WUKmE5VZXRn8VigRx1hfUifMQJMNsLxD8f4vadAJbhYXw3ukjUby0zH4T7TRcP1iMLvUvpRK8zWLcYVAY+pohcrmC/opbIEZbhhucNxG7Ad+QI6+wwQMMqbPcnWTxqR7ul8Qbn76P08XzKZpQFES25mVkkbkIbf2zfUo6AnKhXrWOS5qRshHIq1pzFK3/Jvbl3uz171FFxi+V5VcP2q8nbtbCa71IApzVaFr3vVIDbizX6oJ0omNAr8692mYsrAQ5WjxDtRfHqC3hrAF9Kntqqf2pmLWLAD/NuRgcB8jXYn06FvYBv1wvpYjvtUpcIj8c+rDH7+1Ch+qpWHQCf3oOtRnTkSPXqQu3ezAzPFdjyq2bpgD6Be8zkFLSANyLL9IVQ/89y4tNYh8DvZbQRAhudeByv3iEe9VstAWPmz/NETLipKzVaR/uHgvcWvoaYTUfCt9ToPKTd7ww1u/HpgwYkpTnNDaY9DdMAWOhCtWdnFvEaa38prS3wabDJQV/MrFLAVh8cOEOFFUufmGHiYCvvNHBvdEACcpmMcQtr64WwRq/zjegkCAPsAz9bDWwgYDf03fAUgy9497kmgTL3jHm6th2H/M+l4rRHHzFuZIWnSMrtBLZJ+IB+KtTIVNNr4TRnBfgeOI6pefjVMj0iH/BS8276dRMWu6cwtgFvzWyF/OQ0Rlf5VubemTl/Fw4cIkVEyr65y8CyM3hOzfVN7qIPhptDNixH1fmXstPX2m4X4kSJyUGvs+Vq2NhGS4Pn/iNDJBM+ysu8ySnSX6mjUeV4DrGaHrhbVEudMpsQEQjgzXSk2NyjtEfAcIfSn9fSFu+NhWeFGhZbM4fvspP37f11VsltiDGD2qcWcRNAtWI0k1PVTEevzbrW6CwVxt+EBRjXp3sm1XsNeJpbbihy4HQ9RpXRHQJ+n6HpGlto5fYeYkaNSrnshI1eZ3rKxLNaQlyy3YAH6pzaVAC3ZNQRC5FTmMp/vKOQU1caPRpbH5tOmzm3HWM0PvktcEmcp6aXDoB9PSpIK3g9OpPhE1OJyYvrZYXEPEUCcrMg0tQO8vkf/0KmXm0uabCIDFZRhWa8+/TOOj1Qnq6ij1jcT0rJScB7iMw29b3TpeTRpeznH+AWwdGJF8htL/8Cbt8cpXjOBWhjHG2OlnLVjt45N3MvDZ5vPmRACOT6nUKwuhZegesAp/MGsOcPIqKg4lNaWvgSAzdi1hZ8tt0w2zVnLBvR6RfXC+gT310vCZ8jwK0u8O/0tPMyPtCYdDXgsIaWa7ypnTaN/TY55e2HAC6TQYYDDHArLHo8yWaRXXQT9vbI8uintgALW8jUop0brl7+JePHFVE/ig6Oiuue20V/vR1suue9HuJs3iehcBvefjV+syRB8SgfM3BznEMeeC/6+z2Vk19arrFxsD5leuxjwB9RuUJO7t17icVrDT/kQN6yp76xfjf4kgIeFRIdZK+M7tJPLMlVAB+HWOeZ2nBlN2fYR0SdCalw6upg/k64qeNL3WYFfsFaDBgvqpA2/WBmnvcrpwyMf64Haz4A9n6rYH3ksJDU0kfOAf8Cn6scDLaycWE/bhVg6yTkl0L6YC3mDLW5nYweK3CAErcJ4+K9eMxTjJUL37OUCL+n/Hf2h8OHzUXKOeTCS6rdc7ZLKAeKamdvA684pBJ9xxifuU8CzhuIp404dSqrd1EEHKyEPb5XMr5VPeRRyAGlTYqyI7OQ1wes8Yau6ndGhhrMHVLjNA6mDUfA8TXkRn1WZgarjRjzt90/u1om0z9GHdzy0ePlKpxm5zHu7FGDVJF2Xk8F0KGhhb8TwY9pJGCtIB5/z8xzw8VEqDsq25QxsR4tgSFWFYBAz42mR8ifjsL6LQsW52jdFyYnBrzEjp1+5UxtzJymOgf/l9FbY2mh8uJ2yqMU4tR7HbYB86f/zVywdXFizQSYFwGuhmcrCvh2bOT2g0jxVoPtcHu5wlesJY43Zq4dZFqH5fVa6uYeB58IuNuZd5EnMU4yM5MKaQ844FRyo73ZvnoDg+Jr6wBPNbXiRg+2lcPWcLvIaHgoR/t8h6fjSu5xWNtCi2PJPMibTZDJ+RviOCGDyQNA/nEMKAvHae8Ch1VFgzxTN9CzMOpe95XC8e4Vj7oCYUA2+CZ4jYgP8TWPAqNRGst5paN4a7rahbjrZ19XiyC9o04byxFiUBDlEIc/wNaLkqND7AvrNOo5W9trac9eE/5yoiMfcGHuCMAXbtSJNoTpiCDPAoxjA6f0IP5fsx6PqbnD7eHZoo24BbxARIDExeM00CTetd+nQfmAd47gAoGU7Z76yE/Xv6Y+7YUPW4Kwx1fPnFMdGoQ3p74JZO4FgArv8Qg+IsS9zFUEfrATwdkSFnBhm+IGNUEsU6RYQ7NhdkrLaEu5wGAin/vWRnLqSXiw0Rx9cXMzb6Own/XfcRUSDPklp74bxb5Wld3bjeZ2NYqu9D+RMhrAwPGrThUiV6RexQ8YNz+xzzvzgcf186Tg+dQCfOMDB5Jb88/rjqPIZJMqBvG4Bybp6Jhy98htLAXyV2JFQoAvykFkcpjmOCwucX9HzfDnwnmxJH4EDrY9m1x64u0t8aexevZT60tl6j06+DWJXvOJgDtqT/Sxy/v53ehQpAPYFiMJ4LIVuD/kIbBfXmzMXMeauxzymMWGGQgj2Z92wCuCxiVYzHKn1iaHpNE3bd3PmwZr4Nf15mijlx3epU/gWTNRGPY6m8cGRWv89cfopNFUe7uj1RLAKkuJoz3tt3E5zEMNMYID2jjpNjyNEEeAWz6/A7BO0/dgm8vt1CNfmNwp4tf5/KN0uCsD4DB9NEnAdyfIqyxo+GFNH8XaFCog9woD787pIv25O+XimITeFTDxN/Cmn7IXHQ0mzGSNBFKB0nrP7DY92n9W+P+88dVvrUgSqh/W6/fnmU/QhrAmeZETnZmZRwG6CUR+pCYx8D//pL0WuMaXsKYSWJ/HhT4D3puN9n3mEwbv2lUr/eEO8U5+BLjAQqdQvPrNufI3mzjHfTYIQYbtUfUiljwyauSb2o5kam+lmeFTMgzYfxLw/5tKcPuweh/NOJk7s81pR6QK2nej9805dpuvrQ+cDZVO8xbnv/VRZ3NOIfgn2ItZ7z9rbE89N/cDvDDnmkaL805Rf8uw+miQ6b+DWLXDGHx7zzldATOPMgQ79o3GKvCxAehVp0nV0wfJvbAJp1deDoHPf0G8ocAbitNQoH9nYWQvRnpmRrtjp3yIcaRxprXR50vdibQKFeCxBtaBxMIGi99hyC39QwZRHDMC9H86gh+S2t5+pGA7LxxVSdz/x9uxNHpmo+9CLH5kw/amxuICOOmYDfRLrPhcdvS91s3uFEBM83UCvGuXAR8h73NSDlEC/KoAvEHJUwvmc4EY9kYkfvmXp3YE8h7sI9tD7GpYhVvTsZsy7T3q9xkww/6eBEZ/ydQukA3p2xJyVgS51S9D/ya+rmZGV6IGMkPOo2lHz6XfvMeSliIn7sE+v85gL8TWqGTRXORtALFFC7nERRfhzKFT5fvIYBnA0e9pNlO+Yg/w4rvRNSvF+aF4q+su+iCPreEzacl1mg2EpGNxB2ycVsChk0C/zhw2sOe98os77CVmzIvrju4Acz3qQRyI1ULEpT/lgAAbxg8Stk8dUODPb7Ew2j5iBvu5GNsohzZMGQV/XyhwME5yYp06/0549Dv3tsh9VMF7VsE8AVYg6QDYE6xHOJgfnVafuk8LuNsUQ85UT72ACLiIC/hRFLVoCsDdQJ8jDnj2LjihtfXnXmjxJvzJ8Pqx5PilL8qbfptmEGOAO36Vpm+2U4b3zuWqvrLH1vy8m8ynN7Bf0eDoiZMhVuVELqEUhMdg05kP+El490TQhxiiMh7pUvI/Lt8JnUr8wr3CzK1swDbMnLlsbEPwk5TJtoCfeRbBYs5iI7Kj3yKYN8wiUWbieDCljbXIE6ZGtWcDWMicn70L6aqT1iUVQvCxzTNk+Dd/aUcYfwkBc+3Z+59NPdyNDmdSOXsLvv9cDFsE3wf2S44M9U4NGL8RyqU20aeAfEn/bpPV64Hjvlf+1tyFx5BXHeAUC+TbpQqwB/v7ihs7o9+RWi6Jd1HfDNEtAc5CArUenPRxtFVZDkZtuBkOVmH6Bq5pPyWJr68K7+8sQDOThvsoQXPCAQesZrYDs2lZQe43enH/O5+/IiL0IL/mczwY3TB8Nmfi4Kc9DeYZMENUOt6h6vQhwbTMevD9Tn2Y89yM67L0t/cDiu68d/fCdh/lTucnHP1ADlMq3C+p1N8V3770Rb/B57Mym33unO0GMC/tWqsSUwY8+VYN0wcT0cZowhDzTB84i2guIvceVdf6pb9xTkPzATj7cQIKDdmDUN/0uuBSWM9z0YChX3zoCsiPgHW+Icd+UPgaM0/vpJtW7EgPvo+qfpuUXXFr+s296RcMf/cAXHWmGt/oiC2RY10D1ntq0XftR7XzeNaLH8aUhjVp5firP99S7MN3YFND9sZRk0KO2mS6vZCdIHTVH8C/8iqIRCEKm8gYcBSBZxQXSF02D32bO9MM7/t16rdm3u+PGOKV2BCxVvzR7HDK/tdPpGior5nRdkG4rKzFAVs4C/w8a7I5xPGKu2UF3MdwKnN2TscmAkx+BPux411hNPC+4sdWE5leEkB6CXAZAjy30i0TNr7XO+/VC+NlWlspj+2DZdZBlVJOb1mIBezfIr/+gB//41/AOUaSzWbuUEJzwIg+2hDthZLh0KzZYcVpteJDHbi47ACND/sF8MiB563/W9uDp9DoXvL87/24mh57Ikt93kDu/KHWLHk++QR73yRAIYe9PUnxQQeI+Wv7I1Dj1VZ/L1DxACwSGc1HyJ/uEXlvGWBE3nPzvOPL5oVvtIkBdXNzLrMNYp8Wtb88Uut5TnPM8siF2EQr4P4QMzdND1xM7p2m+2tml6Ji9B3exRu2RpqJ+HYCDlTr6UEwFukaP46rd/tdQ8v0kxPznmdjQ7LfX5iP33m+dws0xanYXyr/fJE7fQVuZuZzpw1ghqO1PIhT3OOuWJUUIe0L2OvoWsgGZUb7YyQB8KOZZr+9S2/g42+QUx6wl8t/nJWfhOaiA+wLvst7LUm2PTSyiQu5XBKsN8C/IIcgJDsz7zQKUhGZ2uZ3M8ei2ele7nwzt9zw5XPJxa9OIPAAUu/wB+OpzUb8EwfkSP3NmrJP5zROZnbi2KzNmzJ6NYHuTD2U6U2LfaxjTXg1fqJYiPEfb+HI1HRTabQrrHsBNK7o1YtXljTAXxAbHGYhwa0/t9rMKnME/JSJxEObA85mLIT42v1F3IY46OsbGckb9c9rEypKArKv9HQ2ug11mAJ20l3VA6YS3qJsvho7fp05ZGK6phqwQy82gmMzh2Oj+PaRdZhkZiaNg+VTn1PO/GRsHNY/7tU9kwtWKzZ3T09eWTkaohL5YXxzh/UZiq7JmN8SJX7PbUKVn22ILWY2LoPccASu89TZBKxWAn9GIu8XYS9EDs/5o2ntoznTCnOO3hWsU4abHuJQkg3LR9OL/Smn+0oIO4U4UOaENvz+qksx/heqld9rrTYlvL+Zi9WIdmO0LYHflSb3sdy7AhaBWE5b+HPHzEfP+xLGoqQ0fHSYEeRJ06N4h/UM+BfgIE3KDHBrEpL8xfUyaWYD0q4KljbZ6YDzGOLItFS50SHau8DzzOwciPHNVyzFF7HRV43Ud2lqGgBZp0aXgbU9cFvFBeakaw02msqdeqvBLgC/vc5gf+A5pnYwyZipezN3z/XlJAzOIwXtyZUarVGG89TSgJPafeW7bjqoUgT4LOTkGS0ic7ctNOBx3FBln+/cn7Pa8TZlpy4QK1/1URvgXHfInYiE0aWRm/uJN8dMulwMfxaIF1f2xIX0Cpg2ARzJ+Tjty7H5IAxykFxcwEyY26YPUbWNEG6sG5f5cwq2UWaWUkenecUNQELuf3e0z/wTm/MlyPEfpu+k9IEPZ9sv2N/1YOkj4A8nk7Q3vWYsIBGH2FyaGYf536XO/RvwDQT+K/mgfqpco8zqbRn0rzuOS5JHb4DxHqyf7nUAe24tzOR4MvQbketzpsmc2U+bzwF3bhp/egcOlnC+3GtbsQTshlr+yv0mOlqfNvjiR4WUp+xp5j4hFEWvu5uysVXPguXjxO8X9TUbnVoFmPdRocjowk01o3act6OZa5Lm1EvNHFSNvSaf4uOqrePjz4MNBJ2edpraEkfHEnCsuR8CvvrBd82LLy8xcJYyQBAzAVP3rbkPi1PAZFWHTc1EQhk2+3Y7ifRRrtSuQzPHLzJ32bQcpr3x3YJTWkjgpKYeKdSzGOihQfQjHj2jJfO6r0ykH63g/6a+Dnwd/MXSUWnOFELwj3wyPW9F9bX9VoBzBZ60ep+tYoT8satvNdKL+qdnMymNReU0nDkcfOifnizFwOve5+6VU1jvL8w6P1Kh2hI/MfIBONqGOX+N9gkBPrIBX1qE/w8XPc+iBy1K3/3IGC2ND0muLsKeEHPqlYQkU2YegO+OVdhvIDa+akXsxPiM5V4rJI6lbn4a3ZyBr4GfuikbAKM6kcGKEJOWHeSthY6pVQ5bUXGja95eij5qGyy+Sz3Rsp9ImrddnM2iGqjLct+p+unVvwxrbc6H3Utpky4eiCq+tnuZR/vU6Bf71t3cJXBIBCXSeZKrb8AJh3IXL1lf32gw+SzHKOv5RQab29Fu7ZOvJOBdn0ij8YCL1Prth+2LteV8hw8Z7Br4vdHSGYtnzzDOAD/YPG+8f2cMwHGNJh3XiAWuqpinklwD3nrOgJp47k2VoK4a2p0Kllv95PrbIu5eNUszq/JpXwcpqiC/F057A8wVqUBfMh/3FaZH6giryLWp0Wvj3X4hnZl9pnvIiWOCvRmQYJpZ0+WE9ZANV/cE66Ks9thg3FZYqLKfX2d6BHIBYdzcxUYXkzNKC6HGjphY05uZwdFYWEEc3lAR28SiAC0mWXM3gT0+pDq+N3mxVFw4gMvx0Z5oLefbf3HIziwEcfN3ZpCZy63rgGQn8w0aO+bs7xSqD5FtQx56m5NsOOTRkr7Pdvw+o5o1HPyJNaj9SMS0J6sC/Ah/p6d5oelO2AJiwzxzZLRcGrdYvde56A/g2gn4lFWNxKh62MyPztUKYZKbs5FFVPayq2zi1/6MqabzaQT6Pmqjx+Uz7IWwnyHvVUBziIN9/LzTTyTxn7po1jarg/h3dtXJJ3NlEeCU9QV8z1RfA/9uvMx53rMaHCG5PTF45xbe9U5tdCQ7AkHzc2M0JmQXIWq0dexJ1ytF2SriKscK+LDRHLWV/8qV80bYMyxqe6R4egC//Ug5dpidmnqygDp6n/XTekCfl5hD7saG4zRmHnGRSvJ96q8LR9qDtZ2F3J4JJhsaLIdEurRhAuK5JkwurzUsGGAfGhDSWFs/3vVI9dRR1nJRvWiF9nrg7g/IXe9EU1PTjlRHELG2LvBJn3wB//a3C9jAXRo8lwOuNP3L7K+JM2YmwLnG0+/dTZnXVrwKuwoFERL41IgTwOMBff9j7hUKxZQHdpLw4N9ZZM3Pm9MA7x9qYK2LkwjNkmByDZZNBD3WGPx+/XuLO2IVXECM8q1ffAh+IAQZgbMF3IlumfETe/uA/MzNOODsa5uQ/vxQwTYv7X/vArZ2U5YbZTuBMtF+wzrz2nInIfUOnvtW9W1LEIXE2zjN2r69YhQd/1qCn60U1qg0eAj5myz0UuCTPfzcoLCQc+J7F9ZyqlAzERydCxsZ7XwXeN8RrH+jgNcQM1eHW5aZ3wK2NgFOHlOjBxgsLztc627vlsBv653eV6tGzc77gDhzTnYNAo7VEemCY+/NvsxST5uK600Z6re0d3dkjR7A6QHUpa7o8aEMYuCa9CsdpjOFPBNzkqbW9tV7C/7eitQx8/+KDcS0pdlFJh99Z3Zs18O8Y33Up44H6PJZm7AR1vKufBfiNwmZzZfazF8GrCgCVAK2WSrmg53gQXW1C8/tlY1++3wziR409DKFcQ772gocfaVmLgUjX/Eg2tInP2BnSzVcHymaAsCGUxJEThXcUdG3IbPmb8FniD5TBjjrfHBSRHj7w/7VOaewXt+ve/PUAj4j53dzVgnx8Jo95lL6kPeFQnK4gg3gc9pv7borXBH6rhLtR9ylN9a1mZAE8oIaG6txYt0D7pjUyZxH99o6DU9c9l6uXvTilU2P7mptw1SQxWDKhKuR8WkgO08UiNKaiSvj0QxxzS9XTRXktHq424kgj2agsuot5yQnwNrNpsYxquG7YF0+AFfkld2eIX/91jmYWeqZ0RzRkW5CfYS4juF9D7G/nQRHNEZRD/zMqyBmpRbuAN8Aro6BX+u1smZEHGDY/fJgazvQvAU+R/bA4Wc1nh+Z0Id6/J0BeotH0saOINnYDtWu9asB7QoBWNxq83hH3xL4tRTwatY3iWItxDvtQfz5Bk6xSIAqzQD8QKofNcaP2I4tgj/tyv/zKIB7C8BMJr/+96wFOJMqw8k19bzCgtwjp2PRfV5OfXSo8nrD8ihJwsZPWdSXaCLlYx6AI11iY79IQw4yNZiTB1zG4sEyAtZopempCOYjcKWxGn7joSCDm9eIuCyIHspf4B2pmUmEAP9xMtB3lgs3Q1MJ8fstXtsyHbaj1J+Wgv3KOm+iPkoqNF0zPpeVv72b+2fViRb2+1gH9FlL8t+znv996mgCGCZXWqREt5wBJle2b3SGBGCOg/ya7Ur3KNl5I+mi+QS4JMZTTLVeGa4Xo6NA9BRWgKtMT2bVtXvBo5Tk5P/GwzvtzFlPtEDsAmCMD8DTrBqrTb1TPxx5+9gqLMW1OQdPTqzV0pyFaX5PMHmLWXssVh3GAd1nzLsru9llftRXO2Huc4vToA5xML+wjc+EN8p+YifRPCrg/uC/gmFMUgZ4A2nAe80Gciapd0IlEC+OdpM+60vMHTwHe3P8W4b+3mp7c4vD8/OuFHCkk2TzT+kUVhyI33kcgCXWZEcSNfLlNGwv6aBDDjGXA1+sHQ24FpVMblGz6qhhjaKyOZTvfx4U9kusEdiomS/WIrbDo7DUpRIkZ+ZeawCDX41myvSqF+Xx2uxK4FHxsF+rsUCnr3kGe5+yYA8x4u+Dr4okPqLp6m8ae4tKicuYm74GcSxGc0ccmXNtKTvvW2i9SfkS15psmL+9Sdnaovv15Rz8x2Gh8g6r3tM1Ogp/fz9JcSHhp/OsV5LtBNj+XopJybH1FMP3U3C2n3U9Ob7yHPsN0n6qdUR3EON2tOBahYBpp9MQ3SuMX1xPEbmduYh2PG9pI0iSogJxXwcqgPyJaZQi7yPtRZTxZ063G6Z5YbsS7KGIxe95vaxHD2X8ejF6R4DhndpO3SPElIap3zkjYiXHevjjxF/zAXj4B2NAtiWxgIe81wP4dAf8v9Mr5MKL4cxNZ+bgqUPtRx8lfuYzVwq6qJ03N2u0Pzy2K/2amdG2iEe950H0upMK6458QNzt4F02Zl6mZMDPwEchp4+ibwXkFlX5Jh+q2eBbwPOm7mI0PQfcjriE2J8F4JCM/hjtYrAvMxOuYP4fRHY0AHzx2i+vsczezvsa8sZxVcXxsX2oTgX1LjIcPQJ8oyHeXbntfsdC7YCj74z+WhNGV9LpCZ6vlE9vCtMLAVsqRuFyPS2V3Ji8GyUheZ0R9XTFZeWIlPpkTDsRVkYH6TGfwccJ5A0COdnoY36px9VuVjo2/M+l9rfO4THLeDxbxKFrLO+3in/eTv0EEQTy0I6kSaA9o9vU9OnvvIC4a/1T3tyyztRqR4Cx5zeeXW1TDaKkeymkgvVqy2yMvoFLdJBjzLxqpoz+Xj+TU4/TYqVZw7xcrd4HDWNH5pMHexGctDebCSYv7sD9xegmIcbbnPM/mzjXP0antuxMj0kbUmu6M3S2q2DWps6QcKNdZiERRBZwzS9YF+ufrmpDicEEoQe82itrlDrc1kfG2lc8dIjpYwwWlfY6qlF7B7Rg5msUVU6uNXAnyFtmbtwC8SpLzZ1tLwRgjh/AgseCx4CvNPAFcwayNXUot3JspRK+E3P83dj+/3eHeLB7+zSqr7h3H3QQTqG9bzM7+2BvnXTgq/DvVgn8KDNnz4ApwCbCROClsgxzftagAR4SXmO7nIJNAnZ0S9iqp+6UVmYO3/q/vKzikrVdbS8HLolb9HSQmpqmZqNzYx8c9Thaf0zvn0s1eWfw/tWK3YYDbnQw5FTRA3b+Bv4e1DnN4Oe3RIpvwH07MxvU6De9OBFz9FX1W0RHbWpiD+kgwI48wOfchTyRqSBdjGzIqXddnu/XU9gsKW/fTyFg1h2/GS3/eoA4qtu+QJOfCsgNY0NqBnxbni3JoxcG0Ack3uROuNWz78ZHsT1Hmanb3vEN2JVTj9MYI5HJngJOE7zeNT+yb66po3sq+sspIDw1ukXShZiqQvPN5drIUqL2FOBbrX/rsZ3GzP3cRftmaDHgAee4xk7CNI4D4MU53TTDHnBf76pQmBpDu169sRgnwqxFcY7Bj7blSSszh+TBLcUaje/Alw+F3XyX/YSL0XvZ/Aq8zMxG35BRZaQjrAyAJ/UY1/79dnqf37Oe/jAkotOAv8SAAUc1scyjUNnA44f5pxF762A1LO2Rn/DrhgN+AkzaxbYY1ED7g735tcOTmcvzX++E0hjW29tna/QuTe2xwBdYzzcpz3fwr0xyfFVW8821WKg9zbFtZr0uu9LWNMamhntzh/28CykSgZ56fM9z1lctVhngDcScI+SOTRy2++qxzVjfL6ZurFrjewZ5GzDUJUXKbyx6JKzdgN1YXONHumpbClUCn4+Oa7EkHGCspj9V6AGmoi/e88pfXjqSL/rYsrJHM13VI9X4AGu6KkQ5xALA6u3bAU0b4fh3w1WYlVoyJPcMNbnRgAF8ccz0hOgw32ANCKzZcurIkAT3TRPcnWa3f52ZZ0RMJj64tT3vnveQw91oW2aMk5k7kG85NfMcEOCoXWXhWxbqnZlPWlhiR3tuzvW+iq+tCzyb8B1EHfh5TEQjE00K8XoRzu/MBXR4XN3D2gCmaXZm/o/oF1O7bws06WwHmGkAHJtHFxlwZE6gYd2Y0SisrObBwUZqDJgx6FHmAMZ9nzHg4JxbNGIBejO/n+T9S9NprvRft8aQj9cG4gM1zwbubXqJe8fodkBefmpxN6y4NGP0PDcoddQrMyNItPmJeU5qT28ZalMO3BX4F6wyvzc2WpQvmJT4VZdyOzr48ew5EN4OXJ4ppwVe0gP/6l3wwjHxG08Mel+GUUbsraqH5fv4mKOjpXyIFbdi7JGp3eJI81rSS+20H5kdUZP/WRhNaideGACf/CUFnznGOe1MxQ9xpveCU24qxbLB7WJLmzPwa2bPh5o3SoyxVY4kMbyfWS7wzGjmEnCBQ95PXPDKAlrpTOkJe14Seof/1Uhf78BLFt6LmdkzgTW6FwZP/Lv3uYIvJpmZM52TTGmapp3+iUd/gfgj5TCFUkw5X2tUWOj71EU3YhUPMaD9AbUuW+lbGZIvsbavO98ilXxhSPV8WPAB0c3JVz+nXTsYvb4YsALwuPI5l2fUx4wRzu0anRjE5V60gCveKu3bmamTN7xUkHMFvLTg20cpt5C/ojXm0QuzuZCHvmXodeCnezrQa9zPmxN3TXw1d9Or6S8o5TKwfvkR2tyu4G/AT2mFpznLvRXW61E4GvH+6iZm8kVInQY9e2mCzPFMzH/VA0yKI3ViPmKW3pNAzEqqiPvI3PuYu7UIrHAn+wjeExHAl+ZOKYf1toCTXUxPEB9aVQdXR4XAmbjRXhAsy/VIGCWmg+Ow/vYUF1UAmFumK7F8WO+zq7I5Oxmd9t3nhoK98/c/F8CXnNiqJwxQwErMFKsO+KhZM9gfHD97ukRrVc+ajKkDH0rFSExP9FrY9e+sMdK7Zz56b7DO4WlsM4g956dmkNk/EzcgtoIPoHpN19LmN7lTA/dNDzJym+AKXBSVjW6WIveCCnA/cI615u5Q9+17Eqju+Pjzir0pH6M5A25br+0Ea5+VgAVlLsJTKL6E5eKMm/tL7RytBqer8IrhbkuuqGDA5oaFUUz7ylJeZerbOrzjYY2AZ2huow3wYe8I+fZ1Vgm53XrOtxN4LDVJMqRyyk3NNsQhsNci18LcYTxxEuAqYIyu1AQRH3llr9fKaU097zvES3Li9JuGuiB9dKdSw/OWXvD253WHyCUyumUx33265RCv4MOS+ooDdxBCR0Ppo3PG+wV+3ejYzZSpn2eNExaPmIsrtecV7GAnHPCTjoQNOgPPaXLg1B/pquIqpy9sA5hAmxkPkveNAyZZgr2TjOOfanAPYJc4xiIrRzP/Zm+nI07qkK7FYNnc2h7UrhXZ6IWVRAUJ1S3B2Ksd4SY+fYM9LJPQB8z6OvuajfZicQJ/bf7rUyOD+DEzN5mcJ9nRu+LLTzNcHbDxAnDKBuynA05exLbJkfoej81B+MWd595G5VMOlvoOOcIvQ0hmA2qBi7/053ekU3YlJ7Cp+asKgAfZ9GBqh2p4t8xy34TESWkvAO4wrwf11bxvd2BDaxIKiEV/H8SOb9Lcf3HRFU4rSvuPbWIJ4OQ2hW9ucvXiDnacT30DNFrtopYFRvOo+aZWvDll8wMwTWrqLTNfh1WoVtM7DZw2hXhNKEvvkMPjcsDPHuPCarMY7R1T51QMHJ1gn4sB+PjvjN3ryoxmg2X0h86IwTcWa+0YXRG+o5rKTxfeg8QIvl0TTbj7KAW3qj6aanv/OAWmbx6bughWDluX2TgGrialPzHAvHEiori02tedVG/4NTU1WjmRgDnMTHKRBFGYWlNAEVEqmD9i0dzEaDR19EWhiPOVnoGDtNIny78aGW167nDM6Hdl7gPMWaTcajM3Fv792i+XWHMUv89usqMWZe25DjGHGOrUPgEk1d+rvH4UMuLF4H5I/Bc4c2M0hq6KqbICpm7u98Tu7+0UqPLgRJJ8bVmllV3a0Q+xxTvg0VfsPah3wK1iusBanivhbYigsRx8VDiiy+R2LWVtK3vJmp26prbwJG+9hMVgry4lArBrOO0ZcP7GoTFzJieRUc6GTzf2F1sJ4Gqd9/ObU/rtLuPCF74bnoZIlszzKp8DT+gB+7VttvPdCvJyEk53kUcyts9W4pP96WsuTe8ik2c7lsDsOoNZ1A8BXAIY9KhssFuIZcr61VkCjLJZIcY6wopdKYmvApWXkhLgslewEsU7MTe+tmhvdNzPwLcmnDnt2gQQP0bdZ4NRcNnfmakntnEmwlZxKypPgfsFcTqEPPfild/AsVejaZPZC2sglwCOnOEbnvUbYle78PtvwiJuhdSu7kUnct3WwcJqcyrOtyzmxQpcdoE1GKueHsF3z0xMYxW2uOJNCW//qhdd0kGP/87j9/dGf1oGX5JdY/o7bMhSP+C3MfBgSgb1kUi8YYMrspw4jfBm4dCdHDRW9vQe8znj3NQmt1E80IvUhdGIupP+pSN9RYk085lmJ9WQE6zlq+72lghxwIXRvCs2B3vKMoZL8P9LKtFPnQM/es4W/oT8+Kw98WivbTq2DrXwu6kdTTj8mUADLrKsEr+w6PVZ998E1lp+zW/EPt+lbC4Mk6jxXTMn8HXeBLFQt/GgLwVq4ySEd15TF2KxxXsSlrqZU6niU49/DjbeZX1vEX/LKz9ipY1++3zBTlKAdU6pz2u8mvPZflPvCC1Dfcj+4Uufgsebe924b26cq7YciwcJ3KQCTJj2KlW8/W563zJaEkUuHjVr3siO3pquhRy9ffV/LYUubkREV4jtZRxsd8D1APuYGD0hxiDq2YvhPEpwMop+tviAXcaaOd6lmyrUK811Yvocea9CCnwenvMgYQRYgQDni01d5Gu/jH4SEtYSSCY+BGoL4Np5nU8AminwRuBEj9nJ8DTAMwwtfpx8F/jK1mY+xqnT5inCUZqLZ/0h8acHxIzNCQta+YIUgnT1gF697TYBDFcGm0UgsOtOHArgkUXeFKkGTr62EUOQ33biwBwz4+MTOCrfHK2ZmJlKx1Xf4seWlHl/AR8lxNr65Rg7DPyk2TUaUPve1JS96ufJ44/TsPpWjvvbcVXDwWot9vXHqr9mxOE7eVA8lIx+gBt0jAmVYNHW9nIBv32XPLoVfWPOMdsmcJ99wnJHH5CTAf+bOro/Sxn8zqKNRFC7hnrysHX42PJmwILYbXKwF5/xDeIB5G5MFxVs72xoQsh/Z8BUGQ/oyjqR1R3RtQ+sv+d3IaIesKTOdLGprQUis3esnOh1phdwq71Cvg9Uv9wV8CrZkUDKbchZxNRgesmWQ40UK1eSE3tCJWu+EzxNJl/xUMcQ+6wjYOx/51FX4NINJXn0bmqxKsBipwC9eGVmei35ELXxSM/KEgHkn3Ps7x3uT/eGAZ7CNMj8/UbpHlU2ehPgB8c1uiR8u6vhZ9dajMB9Ng3yFqU/bTP7T/JGAp7OTnwBXitedxwdcAWVWviL+kaz28zr6TdZSA2/elTh5wZyLnAheqB8oikSJdGAFXoxiUCntKPfkE+QiRssxFaSe3PFJzM/c98IEWd54cS2/r13oE7L2VrcBHq+908jxZ0OjZ9ZZ9vU0gBXuBW6frCvGfDW9iFGvgIXbItRpc0I1uucHeJENuS7PeD1JJV/bsmukSlEDs6jRyPUrxZBHQBusrdGWSwio1eehmk+BULFO+96gvUFbA+r1D4qJPI6JBjw8UeJBTJYkCKxp7w9KDtKahzd02H7RfF0BKwDPnm2uf/URPu9o1f92eIjHsQOVsSi7zGKHRmoKMFnM+P+QkQjqY7eMqyLJNv+JNJdZUCjOPRkY/q2cq+sVvxtZreXK3YzESWZPUnSW3fAXnPN9a8mBsTwK+S8wGh3iGBJYsslpI/vzPCOvlnBT23z/LIz2qIkaYx+Da6XrDcaQoA9nenZ6wd4HrgdYP9+4iTUTEiRFuLzFv9PS+e77PEqRjoIq/FI/7myELhPZ+YFNK6pK6rtDfrXY7Blqo9Ilk+m7//9Wf/Su5ds0GEZepAT8HTKo7sw8061KiUukAo+H//TxLjeE4AWrG+/RL8N2Kv+yb9eaI8gL7UxNTfKOXmvLPeYabIUfWw0UyHvueZOyFU92NMqDlUvdqY+FjjXPgbMzsbYLW2TR3719DLR8wvP2wj2at90/SbGrQA8KdjXNuFy+QZbGMBe7MonR6MZBszbgdgwHVBqV6amQUPc9adrCrxccFM/LIZKziGxYQ3MfC5rfp3b3J56+obDj9MDOI/R3XyDd7TAmu+mTwZyF+BrHEKuKSG+7ArIGdWwmDnwiAtvMTW4qW5JYbeu0UisfNMTbu6kJ+vEtAb7ftURfVHWHIBPb055jWqjnYJ0SXKRZGamtS+MgklmfLMOp1FIdS+s9HGS08Sc+pIFbaSYZ4Ft7U7+zE99FAEn4gzoZxVsLqXdwzvjV+wFnC8+ss7cec15uvp2PbZ5PUZRzNSBwncYTVbG+I1DTo93+lCs+o356J8Olm1qItUZ4uIQ47934LOJ0cwFXEWAn5LGaq5Gj+V1tgxvflEcZxDXwyzEGHgzy+zWaHBE9aiPcYg/pKlN1JoCdoLctxDYV4Nh30+DzjOuL5Cb3+DPBmZ2lBj0XA7LB8TJttHK5f6rX2/OCSZKhOqLmnmwfD5CLC9OA71KFl9oKH7g92Jj42Aj0tzPMPv+aIYFAzdnTQ94wZmOFSZLJbFm5gxwxTvgklnNpwB+HnBA+jrHxiTEV1P/VncFYHexiRGsY0DtBusFsFzLrMX0D3ZCv85vBYLnxKnW30ROw/GxzZQwuVZ9xfn+ltl0Tx2smpxkBHkHwKyvfqL3qq/vRY/DxoHc3dMlERDDh8g6PXOs8CFWm1nHH8LM+8inUAzChj0oIGcfGfO6xp51CVztlG0JD3FU8k9XDZ+XVOAl87EtOzW+6lLS/O9d4GIpzT4wMqUQj8zsMIHpxfR7nTRuKVZvEkPsGdRPLAGv2VfX1MoLyBnwbbsUuGNh8goSCWXenfZ4EXn/kL7pDZtftT1ptQMfXT3A5cBHsTbzHO/HVXS10wOWUd8NR5TjvUXFfgFfW5WmZYL3Luv8DfCIfYYoBvxvYgArLESPVn8HfuQbHAprtIsRfemL6jg3M7qsW2ql93LsUdyja9M3Zxq4i+o+N8AH3sGHumz8NCdRPw3kSUADX80Q3ziG3Nq7b8DJU8i1pBwn0yOxOXH0yCyCmnFvA4995ZREONNXNswXjqKFCXPmQH4Szp3YEl/M+lxYr/cxd2NiepTllDQM82KkZTWqOONm1oX3BX8mkSPdnxh96q0Azv4yfYnAi3awTi//etYesLyFn/mM8wsNm6RZyUg67VS+O1Jr+1X3gPtz8qgYxFeLjODnQZlPCfCGNJbLR4zpvtzpwWhuHBzxpfjZyULdldZ0MbrG/z2Lxk58IbZr7uW+T+/b3mj1wZ4uao3epOkH8pU+De47GyDbSrxUnLwD9nlkq8gh1vamxyD2/9xim4iYiUKtogDslv2XDxfYy//V93I9EmxmwSxgJy03NbQnnzhxCJzR3xouFscIbO0x56d+7migL8JSbgww1+iKA8b5V9PUCz+1ozeDN8EegwyRL46nA4Tf1361gH8OhY6dasAAcqMyQ81SrS2C2OMpewt27Zm7qJxBHK9YFJlZEcwmywnyWxzMidE1MVonzz6pgX7VwnsYvRNm7TdNDtwCosYrfwF/Osv3+Vggo1mP3yj2WNYTo3l8r+X93gzWDbh8QcyMIwt3GeA/yslPYxe3AzJ9KtPQBJ9r9j5L5ZNdahs9D/XU7qux2d9fHc7N0XaTJtteYwE2hNskAyeGONZmpt6Aebz4f1x9W5eqvNL1X+IgPZaXCyUgSmxCDpA7II5GCEgrrciv/yqux97v+C722Hv36lYOlVlzJlWzgH+CxvoE/byvafpMNTaOJj4OyMLC5mrqSEpHJpjGT7L4T9P3XXHUmto3ao0SMP1dtxzD87oqMT3xEl+KvriKrdpK5gXVVn6WTAentrZShq9VRETNVrNE0pz3FVUUz6DXxnpRAWBzWm6bAOKf02DMC0HyxFbbekFN2uP3PsC1dI1fm/1dWH9Wta2TxNJzZjx8Od8lAoecf9msXz+Z4yHjiW5mk2E2tYC5tBJG88JrdkbQrXFYbXcr8fLyQ5HknUv17rl33mv5NhfGpxT062lLMGFwvcMO4nouMmsejlSlwKd9WCOoasmzXvAR9KYoxGTOaVegtz5UqIFLNwF3HsuRk9c5ngpHxiMf1qDPS/Hr3TdRiqakw55atAT+/0wWCYRnHCB/HLMcA8eyrxAze+MrR/oYuM5uVTt/vHc/HuGFqZkeE00uoitAu6Teq+7RxeMpWJen8HfvKz8x4Lzn9Sj75gFcMpIBL48MTamjzNn0qnbjGfLRQC1kerR6ePeXFDAdC8/sP+EkHwuhzXymmVfhesnEaPbRiqPgtGz5R7nwX3+2xI4PVY4a+MyDyR+1ZhbgLi4sYCkOESKcpoOFaBKC4nPVlLKZFHmcM85/slbqavC1DC9X2v69iqh7ltzMvu5MPVNYWWNb9Oodh3um0SHVfK7gMysrfp8R+kfICeb7k0hNkJNeHlzwXOOCNwjei0vt9HHkps69sACbuzq074KjK7GbEnDxmfLOKUQjQXe8e299SE5b5qAS+LgvuhjBOp6IPUJ8oPbgyGNlegUtWJ3OdDRaK4XUwRE+QN7avWKvt0DbNlbtxPckuNxB83qMNxc8gNYETgfX9tZfreqaWbnqDvwhK/vuemr5KgtiiEngVsvXHfhzpgJu+pwbWC8OddaN2qJH3aMQ/v9n2a27chu3p8D+OFgSM/trli7eYI2/VSjNjOb3XspP2bMnDU2tk37yEJmZcGY/zseRHwG/u2SdMrPgXBpKS7qAx6L5INl0UyHkk0V2vGX3g91wyY2HtYZ3wH1Tr0r6eVNvAc2s39qDJNHqky/BE3R0fuJ4nwpvx1q/x8D2gH+3+yUuq97uIEeUmJNLuciLCKZSsNn4RUWF9h9pN38KrTelYy/U/bKTli+ga44i11Y24PfZzVYi/1EF073qOSu5/Ez5OPPW9Dr/60MkrYYYGA8ZPGve2Y+ErQF77YU767uZTSK0/8MX0hErMX20H3tHm53lb8hdEfAuyi3vt1Zf9hc70dIurcnko5UK0HAM1v+dIZoaMv9Z0NjBoQb5FtiivzjH0G4LW3lSxN2pr4GjTbTIQfNCsqoBv0+azdRtloP9ZZd2895nm4D/MKr9DyxsXG1JAE/4O0Ggq0P8YfbYjA+3DMmV2k0ImsKvKMmkrXLQtZ/EwinN1isW/LkeAyJTR/fGxTVlF8fsmUFc7Kj4nf1x5kt8/Ocl0CxUNMbnscWoCYAPE8KCa9E3iA/wnPOXBzXoO1Iav13K0QfryR14yBa0vZmFMZJgjTibCM7HK3xvroY4zWjzP49x2uyV5SVp64+8iyP4/ZbZ6EMG2vglT6AnzoUYowo1WeJ0XrlZZ/i85plQdxLEEtYGZ308Kp6YmVCl2ffOQoITpKiyVUcj8uZRrxlqqaXjlCbzMUB7DLqU2PxcLSSFmIuOwewD7+IVKNk6nPI6+LqKADRxDjCgYwrPOEg1igFSeuARh3rAW+AqP7B+Doloctajd4005J+xxe4YSuNn0/rfKfCwlCnjqT4Lyr/NvECDVanrT9XW/yy3O7Mv4CSCX2uOUxnOpEbFg1sNxmw+poN/NHOZgd99MouTov89h51xGzzr6NW3e6ktHRRUyzqQps8k5/xiHSwlIW5mU9tV9Z6Ed5aZczsVTMCDU68A9QD34WaOtAiTs7Jwc3DR6mBh/u51esd8ujQ/J8Ab0fq3itnY1OBSN/VYz4OiGxfSBvbBGT9MzW82qFSJeMEWWslt4FT6ywFtKVIXcsAw3mCNjKp7zJVj8zpSOSyRMwl/n+ECauADeLdLrSmr0eUOeO4DJoia+p+1w1v6XGtm9nG2bFUwL4L3eU5aNe6ddVmcgdM5fIL8PJk+V7Yt7nxLfFMzSDv4kUVcwfDbw+TGtDR9a4+TmecOmp4Epk+Sf0vrsSpzHVAzu20oVpWr74AHPuRMeDfFLCNfZK6/0Ii5J9rs0g7EcihTxcl86sfzaWj6EyIFYPL77AZzx85LGxuP6Xth3qW1s1gwnWVbP6nx2A8vzgm4IvyOqTu5ka4hwEE+eNQENIT3FvErXch8sF5xdDT1jMTMMHexZ2ZnVOy3XrQRQ3OnPR5pCPrCbs6pNrOHdw8ekAEH65fXrWI3l24mp1rkjAf+z4vxX12lV2v5TOiXBTwxl6FXniLVZ1ud1i2ANcegA/7nswRYZyehTejw9VR55wBnuBK0A92yepAluWZD4qa2XqQ9NhwwCLTrJ+hwU99xkf2cCzbGyeBndQexz6SrulHLwIPcy8/FoH4yB7915TkVwAU74K+cdLIjRoNO5dJMJ3F5Gr8AueXO/jlx0H1WTXdWxjx24rI5cmT6YyEH+I8kWMOag+dnFU75nB5GS6hBkyz4Mn1W7/w17u2dfeptcuK63VvTJAXoTqRioTF8hoxAB4+ZFZPMQfs6UFEmzL6cf4Y8NCnBozJU87vfiyJ5ZLS5VYChJ8gfhTVvTR/xGw8TiH9lc1Qvvk6070sr3hZs3Z/6+eUZac5OpTMC1uI9duQH5+pQOaOLbXRNKfk5af8O2AnJUyd8QUcJOSszXlRcf8JzvfDOeu8tX8qQAOeu76qHVb/ITwl89wR8tT6vd5lGRYXGnLTxndo7F/QZqkJtYYhDbPtFDSS6jtDEeeKI4FUvauaNAsJJR27rOXPJUQr1zl8FGXa2HF5zzW/UUh8Urv3VcyC+rkmgQ2rLIHNUoCz5eQKUZB1HKbxbRfFnmhegibSjOGgj2/8x+2wJI6DnmWf49qlrLsSZ/+Oi0yfkeNecKWVGPTkrjyHMy6heyba5Zf0YHgUGLJS3wh1T0o2mTs+vhC2YOTvIvzwx6CIxfUAOt0F7fRzcGPJxU1Ih+ypoaOVM/Xt97e3AygLuwvWMwszqE/Dd29gGPnQBHvoj8vEho9g+btZOPcQfxNYfgBc8WwLnKAoba1WI0N7XfWCpNvAE+noec3lWjuwPS8Pwc93/niFS2YlojAuL3I03D+mmB3D+c8XGm0JfnuobR4TzWHbFLFr2AP1X7l0FmM2tkqkVC+1DBXhveBbr5YO72CUI5WZ+EW/NDFTy1pWbDAUOYPI38PwG+IoGfFrgK3MRgNYR6zDN0bUQ+FHmGGJo3ZwQYhkCYrVAXFiQR1v0UC5w1E59m7x7sAH1ezkfWfMAjo2A+7/3zA+Gl8rB54Tu3OxVnwP3l+OyhPVIgF+nvWqMJ/aJYsP/PrlTm33eOxk6N+u6R2IHdhk2ZbooXv/P/4ZDvJv5XVjl/sdb65W96YUEjTCQJ/DJnPfeRbCbVSL/owBdISIcGRzJKCnM7IjaWR/MnBiz98G15oDlN07j4QTc8NSv28QaPZb/das+joB3gZb+9UvpAK8oxE2kHJQY31gB3M70z0De95IeyHOn7WqrrtiZLGnVxrtha677xGaID7IUDNYIM2sEBTyAldf67SnSkelTyURtUTd+56/54DTGT/C6dx4exLJbLnrDgG8CL5Msx15ixfD3iKf8dTazlVawSjVe6m6CtRa7VMRR2nuAbcmSDoqwkIMebh40mFemfltQ9cZej1mxfwy978QtnhiBNgBOgk1vn6l5sgCNW/RDWfwtHbQx+7R7c3609QfQW7JYOKsd+2L69Jk9uqWjf8zMH/julfHjSOEz6IDfPmZXyN17NvhwrWNQbhucuvHA7WAGZnuUFNSdSyjkKGnqlqWYmsL1zcxqlsCFH6wG8kJs/N9jU3Nq9sdqyl++jlk/3dnArWMk97/3JSxPhPVdtp1NNL6CkNuX2/SuxHql2vpKAdsBD6ck1Jd/M9vNPI+/pv7Npi0OSiCuwHtjwP2uctSF9ut9HervzC5WCnAT3uU7NgJT54OHcYW3TZzCdSSR/ADdB7kCfZyYZ6ve/sxsDnisKXNNnM4lDhNHBn8eJ+Hxkx4TiAu4xPG5f64ds5dfcGL6yecEtCV2ZfKrHc63qxLEg3xs+jQ+Eqsxez2CQeybc0MVEuA4StTL7imy6QeE4w/EyVSI21NwzE/AsWhgm/rFqKYoMr2DwE0+6LbZJb00swfeZxwk4X7xqsvr/vNV7/88OGgHvqgC+OACGrKpI264eJKaWg/+5SaQP0RPMuaY3k9sFf2IQHN8p8LMivVk0k0b0BAP4qy3Vc7fe+amrv9AHNwniBh/o45EcSKj3ZN30mZIyxKNEe92gF4qEMwOuPEqsP8+sACdaZNz3UvQRMEK5xfAaz2ogWSZi+8i8Pwq6uZa/HnPefRM/bt09Fba/80J0WNZgVau2CQTyHqYrVeY6bzOzfkI9gnHj4yNV3iPpgaepo69KuB58A3Eh8vcUsxpqdE95b7PLUkqxt5nUj+cmvnn8a14Gm8DwNGgcY65+kkddRRb1LE2XSlmeTR4uMDN7nW3soHXH4F3YjYobOZCFhQi2ElNTUCeup0lBzOnLBaCGZ8ttH/nlJL7BxGu89T544LI+Unc8WJq1iEOxor9scxMXbUlhk8cSb82LsFnyPdltsi80mbORzCnTF8Bv51SNDGhBEkH/h3iUCCOqly/MQpyP0gvh6wOrtrJpVmVHcJ7t3jsnT8eseDZUcDQaBxxFC+qmxP8nLDQ8l8vIEg/0DhdpZswAX3Ho7/Gvxk4HcpAW5g9oE/QM++65aHs5O2UrYEbxVppfasc7ybZuDJe6aBtPcAdWnbmOvWmdlGQWeh+Mu8O+AFtfTfRMWh34hyztfH5h3itrcq9rDj3N8qV4d66/c5QSxZlm/nHFSQybHGZ9OSn3KoeeOJddbEELBwl6E0lGgZr4eckRjMjIi5ds0/qOUX71zu43Do8180xsDfK9q/KUV0ZykuScw26+83nCxogLh32UCgxs9lC6eKtbP2I2YnpBwAdj0vAOeCqxOy9hjWSB/ic2xGBXrC/LMCFM1n0hwrmO2X41UP54qb214ODdkj69B3zsxKFtbdGyFfdq14UOKdVdzKB609p3nxUHdrI83p7yhvAdJlkUWqrM+ikvFsBpzA9nm+fJlvBnRM7Bt2x7nFoYzPvBrjw+32VrEPFieljheJW2r4Da8XOch6zHmKDdU/sxCU816lEwC5RHMG//dRWbGZanbHWOGNqm+VqJIESFa8fZob1qw81mEPFzKwf/PZZkjzUcWGDDg88F/ibXQeQYwT3s2iMgK9dQMPJMsJhZXkpPJeZu7v5mMd4b19W9QB4aXO/6lVcojg9oaY/QFqTLayFTj7FkFoHN3nvR12w6fncNm4lbvdj3uBym3hlyxYKGlvlO0fZeAOac8GLdst+HOmCO9yqD8CY+eDWXvL8cz/CWoRc4cjszz0BfQj8UJoZAIWDdyrX77ysseUd6kWz1LlcM+3f6HBxILbNee8E6wlyPv5INPBPPcYnYVuyt5xaa1JbhaWA05Y8LlmE+sqao4LhAPiNDbzaOm7ra2XXS9LGbz5/yXK8MnkH+OkxMTPa29isRXPG9axA65/CYCmGdC7F7nlEpu7V1KKOEn6/AH7cvbDUIj7EYEttZLA4AfxCp23tmnlcivtvPIwyFk+18SRrca7C5Al8+rtEO08ZL/TAciuN6GnAEjgo8NrOKfv5xlruiWAdZpxn5qybWXh6zQhi3jejPlZL7CtLpSTUB9B87/W1PYGgAa7QqUWRuh9/jIeB6JoucR7AHRCtAQ8gZ0dkA9gp4gnruDxybfbsIdc0V+qsxav/XGjjbf9NuP7eO7apOEt45xnfqvf58gzr6FC3zUC42uPu8aoDq7foeNzCKg2anzrEY2GzJe20Rdy/s4qk8WUXr7MBq4HYKlbA4PNikLu9oxM8AM9htlf1//XUieatU7CAPHTk44Mu5vPw82i8Llr8afY0i2xKzFlPavMoCWPjkRiYeZx84YmZXctC/Unsiyf1BXQs5yez9qjPQUNcaU/8xNVpZv/WzjnAVUsezBfcalrz9Amc7px1zcgCzwPuEnFX84xCfgzJh1z4J/BckllNUA7NkDj2Ulnjs+CaZW3wVJ1HVO/NtcVdiRpedjgmjLxriY9EjwVvX71l9NQ9HmaOOA/JUfA4rcT8fPlJO3zEZiaqVVzpVqbGh0mIZsmC0SucOZXGv9C6rA6LhBzrpSRqOPwSqpYGuJj9rqkAToAsMvydqfPlQS60SDgllVuY3p4l0Q1gzZrLbWdjp/FAh88EckgVIPj5ajk8p/aw1Cu2+eNVQ2MDfj4xrGXiBtf9AmRu4AWsjfc+wI+M2CIFZNIonaswdbDRB6HdJFvjHSnZqZXjqdeCss6ikGuPSLqmb3NvNROlkuGePcz8RMDfsIxAMYXyamrgEoSidGhK3MXv9VWeGJF1N+Y4Ijcp7KKijUucemEh8BT6tSpsfVba/6mE5cL7p3gA+BGrGbiZ8aM9Gr80MfBvuP7v4xYF1FrdgcM1gAWg5dJX//mbi5qeglPQIMrRBrT+jg5fLmmbCVvjvmJqPvXWSgTTg7W7Z+U2rMzZKqE6EpqYvHzl3Z9Hpi+WCr1bvVmf/818WnnEVTJj9vXwe643bYxfaMULRw1fz2zQq5omwIu4RylZJJO7UzblZaho2asQtKk5N3i8auWjBmdB7BcUH9KXdyTfAz+Yaqo2wK3biiZe4sRuYlxw/zvzhXWXgW5qM9SEkPljGnoQQw/Tp/WjbFlmjFgyj0eVd9dqAM6VS6OhsVz8gLMYcifhWXhbJfAO6uHfTAxY2x7O6zvwoFRt1m+cX53ycQt4ALGBqGLz/7zuu7WgPWgNNkU8vJiaq70yM0pyFSQUcyysR61xkbWQkwJP18BoSa89o/WZIBi+25xXtCQnt1+OLQovdV97y7eTxg/g56uKNUdT51xwVRa5tmo9hgVr7vVCUrU0/qnDSdbLAGLgw+wHGS90yA1P1ad2Fcl+7zTNAfg/aBHj9fT2JDwct/oTPpdn2ZpVzMxJnQsZJncRqs9iGD9Fq34qh0OGlFpG2jtATiAOGSseP0SezNiKIUc1Zi4d5AWSyB7PsFbo3uLcaFDA4/c5bFNq+Axz9vNai18e5LKebv64Zm4sdrzkmN0cibRV5YlFnCba2zGF2HjyhXnZZkrL8x/7xNnqVRMdNsBN+C6BfGjq+SUtnINN3vtRCOKwAc5lJy1EWbfWWQganfpn0Hvw97dVKeQCurSoQhyQwNYFbzoc/Z2TBU+QG5gIXvsVXZKte+BxsKaVzvTOkf2XrRb/gq31b28g/L0N6yCDNWMJ4JaQX2asL4/9wrGpfTxFqstCZPrs7yyIB9rJO+tu8Iz/zKlY5wRox2HRTubqAeJDVs5EQQ/s6762BYt/SmG/zwI8MYybRKMpC78sKXAH6x1xrrMKqbw0s5x6DDxVHXj35SQtabIB7fFWj8JMVW21U1syzbYxN/7AZj8odTq3FhOsOchf2r/U7O1lenuC9gWGix6i/zMD/rSJvXuc0F/gb/4M/KjDzNtJo5+Bj51a5HGkQ8DKMYskSl1fmFoebnlBHZJt2ZMt7VBb9jxnC97LFo/HYP3ec0gT4DylOV+O1JS5jWSbdZbRnb1fuqV2Jrca0HikcKuUg7JsaNXF5qzng+XMnLcesh44cbb+rmzlGC/Ig9V4L0+0QA2JjY/Ubv7r/7qtso7sRacPnOoccsc1e/e2sCk8sukK3OenoJAXA232j805XqBCC55BYjMxFWzhNrMQ6Mx4VVnWFVP8Afc7F71lq3C9kuw9D3GS5cIz0/cvdXOpA/lt/D1lvntIMU/cbay6VXvg91nFfScRaw35RqaWbWqSejnAN1m2C7wjUNv4G+78CHjolktwr2EdFWw9J/nvrOfDcQP5Mhj33Mxa2zIHuPUGnrOpJRDw/v7V0iE5q0B/A9eY8RYnJEQ/hE2shJivtzx61enTwgWOagHf2KbMnpXm3d7SD8jn/81BmJ4J/LwK5UiQmf1LzmpjerXjf/22evdgnfrEwGmKzjP47xAX3/6baxGY2Zhq6a7HAKX758143PVJR35OwC9PtFud+knShb+xd0l4Yzy5Omk8FZdk2TtyU8GqFnlxh9h6QMxuBBvlcev3pJ/tggfuSUjjUUjqYLzWnXke6PsUeBhbkLM2U6D6JscGh0BbGc/Td71NZjdDYeER07/A/3wHB5zgFq2OXGraNeLUzZ88Mr2VtQvXcqWBdd+7Y8os7yjCwJV6fIJ+cJMhXSrgxBzWIx3GvnJHlwNe4/DXmyVNbfnJIZZPyMxxJtejIHbBXmsGMVqYecpuCbosMT1h4Z+HyNYP0Ma2yH347OBZRn/dhJpZhsmVs3oBfP8uegxrvlvw5o+V2OiNvRiLNeQS3wNdMtB+FgnnMeRAVm2bb7UQegD9ohAx5zR3KiZa9F/3gws535wtOFryQf/gwJwfNFzaBLhEYJfU/5DW2sdsvJawtt/7bKWZRe7Yt8rG+3LpHtwKHB7OCXGwFKgwNUq3ylrvWGfmwJOy6KfA+LxwcbEJxynt+c300KnoC/LevGEuaNDeTuu8iffWl8UC+93LGR+ZPpOOP7jxpwkfNrUxOnFFUweRmgZXwOTs5fHfz4e9M0FWVlfcqbF09UvXw7vNX37LpnzTjkt4q8+KqiMTeKK6AB3G3+vr8apxAQ1uatZNDXuCgK9rtEn5a28/PmkUS1eJFza3f6/J8toHTSDffUOuEQUHxsRuj0yoPWM4VU4N10t+0rZbkhC0nSV/57UZL2fQIOeC6UOxNHGyEAwInhducy4746uvXjNnQJuQok1ciIvd0XCtPM4EI0XSra0qgPWR8yvozy3khl0ZjW6JcJYBLjNr+q8/5Wbh3NSUYuBNXy5mMcVLXMCzc1R/cyDWgDPXDvybmWubHClbncTOeLI+IJYvFaRmM08gs+KGRvFh78r2YPsTR4UNmi0XcF/llr3xUJ9E4HFbN5wpWPN4xWG9EPp3wY56+VbslwK4fmB0mixdSWlg+rJUzPK/dmbHCYYEWw0SnkPwTHT6PIZ4Y56tavkTYuwCeP+uaQ8S7h+znnTAx4FbjiHbyr44T8CX5WcFfFkJnfJFe7gnoHcKTzleUFq2MPuyh6WbedtQ4LDGn+GcLvFSOHYC8WJzgWbV2Qgj/42HRwrakLL1HrBwV7sxK6jqatD/pwi3BPQidog0fVKljflrvgOKLyf2eLAt6M0zrPls2pdO88G32iojbLHQ+wSt8VCCS9Dgnyek3749uuwf14oB38vRTvUmX+5WpWP2k9LHwZZD4gJvCTwX9y+PuwzeA+QVdgfN2NM8WGUIa9B3cb31C0Bm4NHe5jWHUIygY+IZs9s7DhMpmmPWTbzq8Aa0riCIAIcbR+WSswgKR4rpUQ5fFqzDexVAbDn2lnfxkf/zlftJOUmPAl04mwAv5Ifp/VSLLlObHJNQjaCR3v4AT9wDb2dfz4LxA6OSl+7OMWdYr/7JAHPmyKQADl46saxe/uYmb9vG+2OVtXFURgHwlbhVlopIGB+N/8CJ8lLBM5cDXLb1W/cVp0yyOmgyU59WanLLosArB0AdTo5UrK6J27xmMUq4YzMvS1mmZg7yNehL1ZN9zSBXbGNbZJOT9d4j43F+CjHNbG4Xw+Uqwvn23u9lVH8aD7Yyb46pU3j8OYFukEfgQ1fgMVvq2H2GiNFbhxKBruTxTDVvSsAtePZWDViPO8uTZnZyn8B69XegF3q++KjqzFzw5q2/LJHHPwCyxuczzYbdTCBHQ04LZTh7kLty0uq+3iLX+DZLmz3pEDc4rO/A6/1j3hSil5BLX7OqfoxfHPx7BLq7AP6/GJ8nM3f+3QtDgnh/GlTPIYcnHQdtAziVS8n78Q7c7hNw8FG16SK3aFV2a1YsZDqiGEsEep3N+8rFnIfkU1mEA7bts17Dfe2cMkDSnBmc9K93+jfkmmuVxzdYY/qIIDeb/UXx8ieweRTcacgd5aJvDHwtWTRwpy/QfHpFO5Xybu1Ryw7rkKM6nG2BEDxnUiYuujJX+5njyWPove+L49C2uYZoB11UueRbtPGB9dMO9H9fLHKXto1xGSkTHT8wUyWxUwt4nldudUocu0wG1ZCwWYCntrJFh0yrA/CTEm/TBwm9UDn4l89nw2UuxRretfckEM9VN22AS56l3YxSWDbV6g5R+ayX+nqMpA/Pykv6OcW2mRWutzWVYb0oM5/YqhzUskF9K2eEXAn4Cdh9sPhvnV4yIDvTzTfjpHvtLdvEUtvuXmWgrXh3FVHzCfoyp50XFtbomzNdFk4N8BSvROgpEXdJoFPgXHEt+IfZu66iMZP9OKiQcOAr7zqHJONj+/L+zV/7LoR1MQGs5f9meHAzZ6z4Px4LDybWlDnpk/Z2L0QB/PjxKCzIy//mXJyz57QVbfIE/dKYvUfa/WqHK2Y2e3mstjjHHfAJ4S3VIuPKLWwi5iMN5l3K0Ya2f+cylAVww0PRm31LcsNbngihbhAzt6wDze6sl0SopWCzKEQcGfzOts27l/MMGLTjvUIp5RlwbVxavNnbows61WjLBDDeAt3ZJUxJ0CBRJuJNhbAlIC8xjnXh3BZlq2tG0Rk4/P1EDX8h0vhzg/bzq+V3ll9KXYjycFxVrxmENXAoT0j0tRzZA/SyhlwEPB34mYikbXAS+KcN+XAPeRiQb+1CvitPw/iRCTsuQEMfXNXKQa3qEPBqq70qb971h4g6kKeC9a6KpJCBvuLwsiSOZ7MtOvMWdVWYPiumW8Brw+XCE0XGU/IHuFQp+vnKbLSnYr1UDp9rYX/U2ZqmnRrw4CdVwKnpw3/vLUtr3qs2WWVbiAO2NjWqIXcv1yQ0e6EXu17ITp0nBgDpHZzVUreB+/JFXV4xbiWtAq2Oz7Qr7lX/5UpnvSe6c7IAS9nqSxb9YtREB/5TOutHpfkPafGBLqgVQubEWYcCgQ4LLPu09eEd48T0ISaOBLKrO5Wnj9qBPD3o5ZXHh2TFQraU+gt0i/3g57XN+rgrBHqvZVcMPBU5c2DtpKz3gKpMLe+nG8tJyG1EICY43f5dZUzhU9jNZZ7MxPnzIPZfwF/+YXyv9kYvOqRgotFpv/5gQWelg5lZk0IuWr/zssAtsIKQuTJioJnYnTF259bXVbSorVzkJs7qifnXCvR5cgq6q2wVZIy1gLxQwLN3X3PNIvSttuqRuWgAfXmoXOlmi5kZktyr8JdHmVl3DEcoI85k11zbpQVcg/tX0LNdYvGlzC8mT9ugHROiybEMvZRn67gagJ478395Wj9Owm4yuE7K1fbg7h7Y8fa4B/Kc/9Z92SL0PrK+hpiP4Z7tOzGzQO1urjpl5t1/wJpaUdPcwuVNaAX6UwZ1X6zq3vTbxpt/dSvdHfi8qVGSgFjP1B2NXMGQJ00fw7se4PvUjZu6xQ7Erdkze617ydY514VX9ulzb61d0apt4bA5G8Zj7aIPwccFa56VZk8HxcicaZp+djNfmef6h7/8qsenqYSFZ/LmvTfQWwuNCD6G6sY1kZWzRsodN5BfRGXzMUGNSMUUYObRygKOBloi4ySRiw4Pi54Bn0TRx6KgzFXnm5nb9M22pE2sr4foNHAO/e5BABy93Y+R3p8C+35C48x6dAfNJyH3cUzTK7WCK92qVeH6YekCvmkSl5CncCSBm49m7gmuNlN+DKeBndfHik1PEeoy0/KYDJyd2G+PqpOB7siCGPAbD6AtzRlMKrlvpRTyfg7Zko2pqeU68tGiue8o2nxUnLs4gGfew/sEvANu5lOOXIN/5UCKeoj3CfDlI2C1qWt5P0MVqhY+/5NaMazxUWahpyUqgE/igi3EUR3fkgUt+Ln+TFmTnpjxA/CNz77pqQMNPOOkWwEONkcVSScxnvOh9pPQnhMknbpn71zpSTQmSRubWXpP0GE7uU090F3fqvUPxXM98qCGmGwerNUNaNeQAmpllMNnWY/ErmeFdAy4tJH5biVFcadBcy2GL1MregOuFWOh377ELnO7GbRhrnqsWaAC4zN4WJJFUfxMrPk7WeSPXNCxspgDuSc9Bk2c9cl8yl/1ohRyQJf1xp+2+U5o49E+hueCv3nvmb5YAVznzUWvBfPKbGCw/nfXEtApo+kd8sCGMExLR575ttmb+ax8+ILvwknVea7xgSty38weCshC+prjm/o//nncAQ0IOFVZOJALeetKh4WFC9e/wuLmwfssAIPGJMAb4GJD3e5WSuAm0xqXxhvA1GP3+lM9pydw66XSxPiePM3cTt6NLrO4Uz/XZnbCdGpj41+9AGeLfmsq9PidbH0pgq/ZnNdkZk/LbVJ4hpB/iKlrbBUzZ4iTUwerZ+3AmqRIAE8PgW+DbkUkO68zrP0CeMEjyZVdLfG14LgEPDJeO2+cFzUHThMRH7RZlwXSEkjRwgx4yaZNydSdOWs/sy6eqU9NgeuoXEJMj7iwyK0K43xv+3fcQZ4K0it29Y9EOpIU+HWeWkfUFHunfnsstNKZejOzA7jfsQ7tbr80jfEIguc6Y9B9tXWD/x63DDhZMYwJ6MyhamGd2d2qCpQFesnUILZ70LBUy0QEt3u9xfuEf1msV5+iQ7++jumCfJzLFfDrq4wKtwxhZYVKqj5uABOyUzZNkMPuWdBskii9HkEPSAHRbq3tLIJc1Kf2ka3hucyT6WtPe1PDO93JFjfwLoJ08d88alOKKT0NsEaMokQN5C5cZE78SLgcK8e29y5+JGZ2ef7XY+GXS43Phm5AX8Jn2/pSMdBEjocOjr2j29RJaeEUve0LFpvZcs8qSN65sjDeOnXvHZXWKegsfQqanXKbC4+Ae7ukMZ6pqYv+eUyKtd5bGNAM4HdBF9IBPqLLM+2nSIT8nFqTxJCjCnjXpJXAk4w3zvTe0+vqgRzN/Nf/zrR2DJH41Gk32f61cbj2ifFL6KYf3q+tJOf3pJ8aEn2tIO9/8oFfgKPf0gHwOjQzedY74LZ7YFzwPTOqnBnWbfzGKFyGNuCavgoGMb8Yv5WGmn0Y0HelEM3d1PrUnNzFkDxgbU08ghxCJX335dA8ZpzBdfJ4j+0A+CMqT1qdadgQ8zNKf+vM96kzDSfW7CsLqCpg3ClQxnsKOMEf4HHFtTQ+w8ZfyvD5bA28FVM5jPtSFGa/FjiAL+F5WiSQ34Lrj1MOsbWVacIgJ27jKYPc/N93vfRVStX2lOMlE1PCu9Uj1XJ3Mv3kQXyAPMxKy95UFLcCeHyWjztBITf/6wvwsy6+vfrFaNMWYrykPcTD5s+9BkaL4fqI++sfJeuu8Y2X6cs3Frhb0mlZ5HGYbSbKt+hbhOOhGIiHI1XI5csGpiKMV06y4B/Vfi1y88fLQjYnvfU03tsl98eErcMyWN1PQeJi6/csGyt7vEgbmzzzYANwV1ft4N3bauGt6X9Rptd0QVuW+wlwX9DuqAB+sYX8clSouBpvpmSrkehHIzQW6YJGzgOnyHF/isjI0N+3/jK9Cznp1EdlE0o30y5Zmt1xi32IeRc05hMwziqG4EkYibFbrGjLXLzg3eEJHJh+LaB985riXULljbtswc64OeZccuvhJFptQSv8V+t4A9aoPveOnqr+D+BwHCs2udlmjShqGqrxTLrLA/JUBjiI4T5F0nOrDpuQutw6Zesebzv3mN3cf72gqa06y4bYjpQrn9j6Yyv+mytfvFfwpjv1t1kCluNQT2RoBrjX7yNVNxY0mnO+Uv00Ab+9KqQ8ZcHzC9CKdcVV9Jpmz/WmCrWoozE0fr/ADXpsvTwJkTkzfZ9/ZfbFyhz7ekJ/V/Wg0ClYOxxWjAhBr3UkFtrfl4EHawmlsM7ObIlBt673h+fNpRb/EKYm00WcPW/WMYR3fv7zAN18Bawx89aBb/166WDQCTbwWo+GyPTzgy7hWbKZrpxNFuTwvZl3zIwvkun3DwOXaf6qp4G4c4gzY1iLkFf1GUcNPkbot8bsGF0c+M7BaLT3vmgmSABxxdIBj6eBg1a1VsBb48OCrWohheLJSgGOMv73+m++fCMg/+dJThjomEYF+PvVt9Exw8ttOshbEqIj6Lld1f25qv5dwwnX36NvSv0fZTW3wkXFEWFaofGZdfoG+T/B1gSrTgsKeFyFzb2GHGh6oymbEQ3GxvgUp868P26NMosbwE8LONAPCfi2dGa7pvJ9TtRjEbuVOwqco8zMvAOO3rAemzhylRW85nnVSCZpTyBrAde0Uhvi82764ZhrzuFRBvghBK/n2hkDwjw7WWqX6i/Q23NxCn49CRG8U+8IuHui8pye/3i1DQyRBVfccdOlf+WbPw78/CpEugDf3Jfwv4+ou2PqG/+o8ymcLB5YFmBUCSzZqSJ1UB1wnXbnFoNv8sh7tulcWtO2DnggzJlXv3LrXFrAk+4pGzMVTFbJcUF5ej1YX/cM8LayiMCgi1/9ZA6zSQbvhHKilmZTWuvLv/NouSOgTw7W1B/+5/t9hzX4yHr+miPymqmgfXOmRxjoD4maiIVryFfjPW31R23t7sD9MKxnysOVKyHnq66hpd55ailcEUlShhDroZntygHX4650gvd3Pfd288M2f4AfFnfRe31i6ocBx5JhbItObWrgqSpbu3KQT1jXK4MDwLnOp2i8ZUGyHLMJnl294uE0gZY5JFpugMeHZq3zcJ72C3uf0Se0NzPv5AXugXKm/WqRaTmMYd0mDw7aNOH+j6nDko7esSB5ZpY0M3axFKNbMdA2SAJnUFbCxxSL6czd2K60Lo9h4Mju8n/qbW7W3llvpcYriRi8V/3PW4fzOTP1y4jPoAU/zX6O4GRrLENFh6NTuG4rM3/VcCmbOeZssujWMbaIVzjTfv9c22YGXZaTQ+Z471yZ/Ou7AJwZ5HfloD1j3kdq5rJzvQceBfc87fEWR9TmJQnX34mQA2jkRbl4VbXqh3Vr0ObTnrumh5M9zZwZWK86c9aOsiZzRvjG3sjMtQJM1dXwd2ZuLMQA+VyP+8LqrNrMUApWdmKPA2mbJIniLbM8049Q1uGrT4ObOj7J4wuNTN/81wPDu2XmDBIldmUpVIX8XT+fE44+XvXC25d32GdKa+M3ZAGvL15+vi2Rgsaj2NyuypFw3/PuJNY/x8DuGegnEinjtzBQx56F0KC71z81H6c6+uucQv5MfntUgT8zr6m1krgfr4DBmZmxlUI+kkPxz78rGnsl1sDd56QEHCqZBZzqayYaL9VArhgR+Pf4DHkI9MLXFfink0SjjYdRJkvMzNn0m2+ckJlpJ59Eo4W2PlUvH09ifIkzFTaXzE6tumP3og0sHNp30nvceGekg36czuu2HOTItrVTD1hUOeTtwTcztBfVoqhc/NzsA75r5/bwXlLAIuALvGi/XOAqV4rQNuljwFsiVO9le6eZyRI8Qb/bp+jyyIALl729PXHDXZHpBVhYhw64n4GdWJbq5gffMuCcM5NR/O7LDnkfF4lorqDN76ZvN2uV6fEiJ2H3qTv+HJYYV+c/S22PrnSal3cHN3OTN2ubtHiCd3zLet2fOjQdw9SGtXlnvZ3VCD+pmA4kwu+6yhS07aN24yZbmiUBXlbyuBWbdYRDbEO+3J/+zfLwChcntfGlaNG+zk2vcuPWLibYzNDuvLhy8bmiXMut8kSXrKTp37ZWd/a/M/qtfK6vkvOmbGNtvDcZcKVTn96PAekTwXen3sxIv7g1UpA3mC3C6TvT0szSMzO3XjMw6ojgGtW2ENOx1E1cbeNUiWkAnrgUi5re/Q4lkkvSyrPYFgtpjQeszosBPnuo58J+eR2Z+s+fdGkupxCnoIkPZg4Mt2OL5y/+fi4ECowuKC3ZHJz5g3M0n1oza/SPfUK//ctLLUbI6ZwQ0GilNQtlNwJwpMAMuB1kef6vh26hLB7owBbQBBvQUQI0cn+iX6u6QwjiJ4U4RqYmlgXkkpqz8S0puW6Kiv16fnaC4k/AkW0dyqzuJoxBW0jH+GCpeG+pB/CXQ7XoMAVOy9k6gNy2ooG2TjlvTx3+SLtmLBzrmnJNax2XNNIL7tIn6OYHYNwF8Py9j23x5a8LMZWctLyUXEKeXYvU9CU68VGdbxYBvl6DFkg269zUB1RhMHPnMsseHTn1vyVwQTl8mZquXTmQFV/0BfedkziXB2jQj5OY33o5TanvYVd2KlCAjCvH1CPiRX2cOvJ9WCSAsipo75WY8g8SqO9kUWfC9CYV6NvU8fGA67L1J2apT9qPnwYjy1y3BL7jFMQQk+rN2Whhk+eRxgg4JoLPnxMxRhJ9uaA1F24XVh3AdwITLCBPiK3pwcfdvzOROD9FnSdzX6go1qamWmw1YI4HaxWt4HdaHN7spNfvPkSc5vgD9GZ2Yt4dL9zMRM7KsANuGEegdc/Vgk2/t1Vb0ge9eMDsYkkzzyD8ukvK+/3SvHyxsmDeAE4kLz+jKLie4HeyYPd/+fyr9/lg/YHri/NUj2EVyKkws1Vpk7Kt/iaCeWWAPxhoU8lVyFh3lZ39xC7+rFn8qremW3/iCzlXLn/NA6u6iyOpbyd0B/zr7e08RRXwINDeeRJM36nDiamfIZxPtYhffr24VW7ieI7qcXHaNoygwIZ8KzMH1iyTTbIkNugyp7LwpdDs+Xq3YXIHzYSP6AL58/dMyj0xxXFvP5mNQYvy7yTUbtHpDnSmLDi/mvl4bEDwrP8aJPYKi3DlxGYXcDTauB5QVPTk3/qj8ge4f1Q6qGeWvv5//gCmj/dxDNQxawna2zooF7IHTbmp8mRVGZ/7fLfQ7rIY/gk84Lvm/KOisE4WXfzbe+ZzhdBdtOSHUnxMHftwjJJn2cE770gpfntGbgvE2ENt9QLfH0gnftRmTh2FnBnKtop4Z/Y9DnYB/K/28FafQRtAfpKmdouVEUYcuI3K0ZlbF5v13gpb7IHzGLO+XhELmVh5a1gBPPeuALezQZNKmNnayuIDvlGBm6p/3EFTbIFrb3nYmN4WN4vqa73VYbU0B5PrauCVR2b2UjU6PP9Y2LKuom2eJx273HijWb9+lXltg5bvA1Dhsq1DhTPg0EUuQ7ZZLyX8bbH8XZLnRJXx/nG6f/tRz/WHssgHAdw4ODyVnZfUbvKQ3R8v2ULcirnjLi+yPLWL9j2X87YobnoziAN63N4veCp6fkisPzPJm8/SbnYQgz8EdCTk/7ZmD+sU6k0dqABiwicBXGPAZoj9llBNsg6ZOdS71E6v1PSDDrLPID+9cwrJbnfT+55ZuKVWsALdmp6AyZfRzj08p091XtvJ888DridMhFdyW4UF1Rq02WsvGnKRpbb+zLlando4xlsSUYhsEtrA70gmNHrXtG8TNnpKkA/A0odieNq7yVwPO4i74Inb7gp5z6MdPlPEl0woSQJdJpvbnER8Bxx/959GAtwD3OD6UlrqI9Eqw6Bh6uefp/G/fWs9WHMBBS6P3fEJeuGHhlinmrjH0PT06G8KfC+z5mvBNK6GsWT9ONQmh5i5tj1OSY53p836E4fSpkydMTCTbCjmvbMyfhmgWX/9AbacBi4Fzl1ba1yJtWWmRYgtnrPzn3vWF3fp8jQLL89SJKDJdo+Ds25qQXZpTuBzm1UBazUBLpppbPrjeuC0ECf8kgSgxQa8w9a7/2tqym38gOdhZrz8nJgFOd3jlbjNlP5d8S3u+eDrUycjxphT2KZPFL9mCmXBelZM4tr0m+T+tbYuppY7kEhumS3Rv/n0/Anv780PL5L7jFL1hLwEfFQnNPyyj5EuRbS74rx7Vt2aAMfYMspc42HGe42zlnsy9Dpi5o2EZv66x8q8cDKxdpKA58BPKPCn7/I5pbUTvLH3XOjLIiO0Ybzzis5r0/NUHBa/59sGUxt9grq3/9szPWKH72CduRTyuIj8D5Gb8xsLNBG6ZQ4vihxtRAsKPuC0an2PdB4/5ejd87it7PHy8sNbjN8PftBOLjhS3xDHVgFruUQY4nDawUqH9Ze4kIexCoGnnddRMaApsfg+Gdgj6ZsJMAVyWncH7no/hqv7ETjy//HuYzL4Y0khcWV0gk5cgS724XlbxDY+q5Zv1eB/Vj1oSUdqGk5LEkqCXeAXPejJPF4x2l2PbF7g3lfYref6ue4xazqDVwe3kTjiwTvm1dDZgNNkb407Cv8BvXuHeGwqgTLQWYIMuqMWg9ync9B2qzKPG+mi2PiYHJzH/eCwZ9bxIaEx8Dt0POaApb3RPnJTQQRS9+33dXsUjiJU2Gau0J1tCwefJ4bz8ZZa+AC/fyhzadEhuB4jjuqIzUo0n8WSOhnoL8ABWkd+koRqtXdxdnDVmCwY4MrsAfhNaauUuvF7LyVWHD6vN3Nl6qdo1bek+FGa9eLqlDJ7koJcuYObo2DwLuDJDcnTzJFPzExjMebUJnmFTM3U+GCQy1jgDYI1h8SxPzKtVxnwt3cNJ9yjmYEU0C3ngpICwlGkomFVFKxAT8psq6+1E99ORneB9i+YtytbdYE1ssLPP3cRsuvJzBbKu+sJcjfwEgADvU/E5Zk587cU6fvcYWd6U8x7TcIm5JbGhat+VKeHjK03laUL4ADApVBTd8Ab9d+n3Hb3U+CV9RCvYJXueWTm9aUucfDmFKEPJlDIxBpBzjkSG29F8L96tnr5e1diLqmo7VOLhspqvqmlIad2q6IfMQ/JTPrpWlNTSzD7zEWH/+pvfpQ9NoyPP5WrUBbErmRcFs4YnUIFGk0D1ykexOLvWsekQj4V+eVetUiAlnSPzN4f7C9H9vaHjGQiLduHd7rl/fjac2UcXxiPSRY0n3izvqvN2uFmZkIwdVI3I43UWA9SsA7yk9ASd+Stv25U+4znTfPymO/wILr1o9SguGl8o876aOZ6iy0iwCnPibCRylX68kVYZFIH6zvv0HDKx4QskKeB/1HGIaa4Bc/4Uy7SriDnv2tuDwuCWFl/Gx9cMiiadfqadHNDW7ZU+u+1RuhxGoB/dQjukZm5V4LlaJfSzuydp2Jbr3D05Z16vgPudJeDOfsAHeiaGfVzrvh7LswEeUEBRyMtCzjPhnq1N3M+IMuJkKfHSO0zAbij427veJ9Fn7hsKFbY0fbBrZ9ZNpXC1G21GuI3vZe6ngHhJuByIWi+n5NoMtHP73rsodyszfyjJjP1QuE6rrk/KltOoBGB+8oNaFRXWjyrmJ0fQ0kp5ROkTQLv3hLAONUA+N/frKQldtmruAB8JlHzneSg5S38k7Dpvc+WAWb3NVybav8+1bJbcVef+YJ5FsoO4mFH+8cDruEAugFYRGJnNi5FFwMmkDQxHu1UeTSvF+PxhFvQ607gqEXnGJ4Ft+WGBb+9MPtjSHZVB/Ha+nbtkNf5/on7uFhAR7q+4Y8ct9isYyIEYK11c3m7g1zqe8DLA8D7BcNaO1iTXWof+LkaMEI3yoI76GrQZb/zOI48SB6m/oxbL2/glCxfV+bKn9cMMiAs8H2rY3azZQjvsZsLc25/CutHlctrYo2I9ekVuJZfu6qtzFk5IPAJqQPrtF/2f8zM0fcsCS8bfESdcWaLQkr7mIt5IL195qAbOTCzRHDQjvhc23+XU6dTDO/C9GLtFzTL8N/cuZKRDWWTA/ztKsNmpmw98sjvlPGjgFj+7QtgXlgKvaocvoe8cy05waIf4V1IwLmpB500ci1Z2aNfX7KqX3l1MF9K5j1eOe8/33bgnte90wgRxE7JR9Ah+JNR9fZ1XHHU7KX+ulPjEfTqY4yP3N0te9c4raDXjGQ2KLcM9R6wyz0GXgDPAmfd+uVdAZhXnjg3MyIfQjffZGi2tUYb0G0BaAJgq8Wbz/+YZ6Vswpg1BTVHZo7MP88mR44cjTNxHqtjYC+wNgrggKvEalwWdKvaBf7IMHA1408vD8dc3Y2H94mm9t66XEvGqezmmLDfWc/lyxuzx89q2zyp2ZN2/Q9QOTxl893UqIgOHmpob8wMxv2i8tTVnmrrO0Ppgl2NEgcB50TbJMdLBRwPWzHGffwBGPFUzM5Ktrr+xkYE6x1SJW8J/M0Ykc36wLaYl6H8gJ/bcrubk65xyu3u+qq33vxZnVABWim9YxZ/qL4ws17OWUQ8rkl6WHArI9y81k6Hv7MIvTk2Mf6uWce81JoD1aFv3MmhzhtHbb+At8QbPqRzyvl3KTDONn+ASzU3c36pbLju7uJBvoS1XNxpr+/YsnktEEvFbuEouIMuTyUj731suA6yAo7KymDt4636PA2kVdr4RcL1trsr23K7pF8WqL2c2d0jG+TtRDvQRuiT8eRRuiOtaNMUwAWys5mHHmPQrX7d2/PJzNKyvrz3ucOpLyxAVC9zYkRt/Hj56jiWZ+qb99ba9Cge6dAMZqYy0/GFLNh4PV/VAFwRcgTf3DxAih/gRN/1MH5QW1kQtzfVfVmM2eWp//XFIjTwrpwlKxWyVS1mG+7xkARIVNZ0gRg5QLwIjPCqCu1bkftHwD1ZRbgw8xsLe/zmfLzvXfng21gT4L1p3kzGl3jvSD9d/CTL8Xt9bTPg74zqIOtJUXMSUJckZW/7hOvPcuEXxZWrqHJoUEMcNm5hAYaF81VwtGSgNZPz1JqZn6DBgH9594Sb/VQzA34Na5nfAdveZ6NWoTnlebpUUW2prgBMbUCj3xyF5JWhpitg/YquvpOW7I5UxriLy4R5lOTc1DX8N0dcCeCZM+j/j8ya/FffjhvbyvSeLfidUz5TS+EjcGy1pEuhSVyD1iJ25xGIhgx1C4WcnIT2kDr2T804N/VOJAccCbSvFp6WLZmAAxwg/yZVgCcSpQ/QgyEHnQxxY+YGvnnUsTKzNF1p+lOfVJv5ILE0s53LfqJi8G81Wz/TQf9UgfEq6OzCzDewxhGufXsSf2YzQ7Lq1706355MjxcFfBD0RSLYxE6MoGz49eKmGfL3skvtbAt40U2mju/l3SE1Hsz+RGVJKxm+vIxN/VHAura/IK8iePaQRbpmdYSYAp0AmOalXKxA09gTAxyHe+4An5sMOM5/33VPQpwCF/mpz39sM1vnYHqhorEUm+nT1FeVwxizKAbdgJ4JJ7vkfHPNfh235vHVSzx8rUB3bFJn3cI7+kzMhJGtH1KLf3LQNtxt3n5ESQ06h4K2IQ683zzOWPewjTMxPDPAbePjCEm8X1NpN1kBuVhZqCzON686r7GZa1BZ43f9/5j6ti5Fce7vr0RAarWXjRIQJRYhB8gdEFdTEJBSygOf/t1xHuv/XsyaNT3VpZCd3yHZB8d3tCRz2mE/Z8TPPeHIaOdSBBq9+K1rO9BxQrWT3Um43mbOWqXxxJtQPXRMnoop1hi9grhoqdHtCXjxJDGhg7ny3tY96o67f1BdGI+GmMLPJcI1QkDsi8FxGkNvTT+9+6Xc6qjtpfm3EGd9qVxyAV2+54WoqLR1DM0l9SY7I9Ict6aXQ3KnLjo0o3BL2Oty/OtRPN1YP90rpG7MFV+pw+9VnDlpaLpjMU01qJ73uSgvwLf3U8rwpCAWHBnTTyHOLngG1dgetiPJZZxc6UhlMzw+mu1fm5vf01A/hKTApf8uuff3Is0U1qJxUsfmOTzKkmleFuenLN71sHOf8ySX0YzBadreRaLe9s9sULBiU2/z9uQWvCQLb5ypkgvzLWDtrRYmDPZwuF7+28v8frTzd+L2A3TDbPuGVRH6aNB0S+P32fIVwTMdOZ/yygEd2U+vXm/wjiA+pqAeKa2QQWygTDhr/H96wzcMkygvMrv+BR+DRw18Be9iahBs2C34WBcFagkSxsibvyxHhScpgDGAcx1s52zaeYeokg9fh6JtnCkGfAW5Jyh4zT3wwUAGmjadgdgE7160XWrI8dSnqyoELnVJxlFwzBnggEuIrbt7n8E2KDhXjt+Di3FS04K+BxZbDK0Gs7N1B/DMgRKmYkJ4wBfT3mtBG77q5W72ftP2BKXFlAN8+2qLL9UwnUGb5/RrnZ+4XuSo370+fLkNhhPTh3oJL3bu2AGpH1t3L8Ascz4HL+8iCQP+vZRDecvH8gZ7ddGjGjgjTvq1Hkjxmo/9WTPKyYC8k4BodpBUA95AjKD3WSXop7LylAv+12WbGcHf/SAxQbprCXDroen+rYBfPo5yyjRgtu1FX+HAcAyeqMOo9JJUb0Ov6mw+H/z55o9v8+wp/vts4nZQ+LcG4Xq090OuHpr4L8oE8SqEJxr2vvDCleiCT9s36xSZj8yB/etyXwwPrgdzFtE/QAd47vDuVuDzjtxByrKS7UNiGqT5Oj6xYM/63/PDCHDzDhqZ1za31UkKac8JwtABL4ayr/kJmvCpC2p7vnfM65/Uw0I7M+gou65KHEMxVR5hsp9IGs2Me8m96nVChj+2TvLnFNL37I+nEC1okOTBRnGpi6mlfXrPhxIBih8obu9qs4bPWwMGkEm7yD/109x4rZ25BrpWfIM27SVLPspOwDv7u2LOfFBIdbW7jhr3AfrWvHE+1C6Jq+JVuy4UaCJpe9b1yZ6GygfPcctcUzb9muYyOR/Dfze6lL6IEhfc+pJu0yU12KPOA7RouFCvtDXjF8DUosJqSkXSiU689QYof8CwrTmK/3meg81JXRogIxVrD7ywg4AZdk+gZJdhej5F/gB4Al4LuDI2Jo8meF/kknf4A55PCI6+uVE70GSggey9NnnreSkK2xOIeor981JpeL5tMUcYtK6dDppaXaBSx7eNtR8QN+BNXvV6/TEqYbUUoUzBF20ur/k4r9rBxK9FmzNgM9H7iMGeep+l1CgZpbF9vPUjdXRbjrg7gBdjA8oqQT4gri4E1FMTp37l2L7v/k1vjVu5j5sAfgMvaM9tEHXEim51d9pmvrLzZ3BwKI1q6/C3zrckvS41A0+xFXnD1ZUCFzJPfJ769qeE/ZtzWpX9oyqROaRSUc7EkvWgQeyskCiRIp93r3tUd+UCf382oO1rBng+tj+A16vS/M55DJkIbP7pLHErJAs+5KBkXZCLiNYgBIzI3JYC9plmi4vm/zvvSIt+SfuprEflMDunJsSFzXXk5nwDP9Mf7FwZh5q0MO9ztq+ci1vpig7i8FJ7oEeHM5J2vs02cxV4ghP4E5unf2TNbY9wdJS0BY5aRKg77ZlFb1uaSdDInjEQf6PND9wj8NNyhn3anrX765cvZb8ejlG46EHZPvOKhY+hKs6XVOoxK0h6Ak2Q9nMqBuzk4IHzQUeAtQfgr/aEg+vBMRg0TauQCZicM+auL6CvxAGdEe2yB2js93N1exTEerP+yQZ0o33iUng/5DmvTqPI4DlupF9/H2NtwE/ZHu9OM/AlHehH6a6fwpAK3hOlDuBtJ87Uvd4rh4IqJLRkiQFeCGSof2cT2Hpy0Al+vuUrNTRPPiSSRK1sROmS8d8NsCduluQDsO7OQjUw0DEpxEO6FUkVtt+nrc4Jals5TkUpzL1y0es+JZW0srm4Av97nwOYPBYSMNTVXvtgDjqDnsI5x7uyC2A/6ZR7Uwma6Zx17Te8pzETSS8WrRgSaeXgvBzuDi9ICHH/rAfSsvDPEzRYlcYCafT3ImLxfoe5HvVUuf6ZR+si75HPe6UgBqO0A08CHvlYKOv9kAwpeGA6MvCRp6HdKtAnda9t7k9YOcIhkdiXowEf/FhBzLcQqyZ1Eyd17847NxXewZe9B1YI8BZimnr6VVMA+F014doBNItKlHy8zgetB7bzD3qL00SAL7A9kRch10iFV69ZglgtOK69dgdcmjG+Hg7e9D6f3+iv9bk2WtRhf//VLuG65/0D5aE6Cq6OoHGSowi6vNBhvgijjXgcWdDa+SIH58/lFD1wU5iU2XtR7n8TO3+FJcUJk0OD23cusWQL6DGjor3bMinvqwPoKZWD73jNOP7n7m3ubA9adhSg3/G9MVOX9sCjsQG9SCsdTStiWkp6sqWu9S2qy+N2ooUpc3eaSf+ebTqzU0Ekl+LBI0RSiT5zpsO0oEp4qV9zBNybBP/lVZL8FM5p7pGtjLFSoLnSHqUZ059kaQd7Pm/7Zh1sxvNWgBb3I9CeIy1+8/RAc/dPO9Og6nQHeP6h7Hlkv7adm3wC+g32R8hHJcUwjaXbfh+3dCIxzStv58nwEabP+WJzIOi2X6qu99LnetsY9dIrLLR9P9L3Z/2UvX+H33UrTeKAZ4T92x6ruMW6I65aku+akRUpUn+Pkic1PWJGPUEDZXk4OSnot/1iAttTNO8AlwfRMkNXypwvdPBjuujPRr7nqF7B/4swH/FGMRzBtxkr945SO9zNzm33zApiXooxKGyvQ4bbR2X7qPTJWbmzndF5kGHjSP7iP0cD3zIwBqB9NzkiLcT0V2aC97lomy/kXONkyYv0niGz1RLDuvSrCjx/1bUM3kNSR2v3JNVd2PmX0fyjnpZPiL3sr2S/ep4ifORLMueAIfZ+pzbJkHfBWNk5i+w98+7qVLIdmTivThESeqGf1fDHJYtCpyH0NRaHCrcHjWlbMtsfyObutxDPJOZc+JIJWoUrp450Bd9z1QxzBfsAs4KwegvuSJRIFeK3lw7EyYq7a8QAz9IQeXsnc/ZO8n0M6awM3VcjPR5c2CcDmZVDNnXvw+tO2hqBH3z1KU5sT6yr7NcxaIxKIbo6xtkNsNqnxkib4/I+c0id5Gbne7x6rfDscnAzRACLmUiewO9f9dd8qL3gg0W0At57Spk8tVx/5LhfAb+MJaP7NCadjFWVywmxr3WppLLnMq8akWpzfZ+lXLS9i9g24A+DbSNLn7iteOV02n6+HV8ahEGrEtu3L+N8HYKeWGmHgldof6qh3UiRLuD3HGl7pMRmEczmHQEHLNRUw3rKvOmdq/9kgKygw1SJgP8iVL5moIHeyQxGskcb5aBPGjc34MVk7/jfAtZNShHloa5k2H6kdsZXTKemCHAVJ329FUa9zklaWNL2Tgf01qIPwR/iJKdPwUSfFbji0cRZLLJTqI/AcoWtK5aGBpK/eqYV4GW/wEPYuUFp1QWOlDQC3XoRtg9h/4A3BAzKcAzrshzcJKrAP/3vs54pN/Dd4SeLna+G8qIKfnv1d33l+PELH0rbs8TOs1qRuN0dXKVSBLoE8JVjwnPYHxzY4DTMKz3STJkJEU4Bc0pHWV28JO+zyvg0kKkZXz1uc+WiOzF/76wDLcwah0h7Dqn2p4HfyyHJbI938DyX/RKMzWbuQVtne4e4qUeQBJ+xXwS4XdVyVz1OdqZCl7C8n995RD+5bNsUC54jvRegt07R2lcReGFHiwywmqNsdUCCci8YRYFBLwV2LitKJRnBpV1h7e+g9RPwAIXm+s6RUMBtYeqq4dTZHky7dw3CGX7mBvqqrWDfZgN9ps7KBzy+66G/aBRsgKtHwIBbhUSVu0qSjiRNBLrVET8M1pN3aieNzaVSvBFqtPk1sNcC0Lg/JVMeeI/3PClcLpSezM7WM+1YL34qxpej1K6d49jw0H3Ndyq0Pb+9lWNi770fsEcfogcf5c4+j8nrVh/w0YjwvgCWXg7e7mJniKnBnhuTd/3yrQZPZ/v8MCMMxPsX6QQFTvhqILqabcCVvdvdtpXYXFenIgDv9jpbfqa21qxobU1vxcL1F+j7S5bPXtmZa27zLME5kyXhjTO970ZRuoXn79dpFTeOCtG+5n5bRWbDsQry3t7NkKsMfVvv0+ot/WlcZTFpZnGr8gFT4fwBD41G21Ma9rCvnn+WtMBXIfGrZ3ze/f09tyGy/QStbmegiwpwo8zn8X99zOwM0Fm785HHegSv/7N3FWhT8Fe2HsUDPThOroiJPb+Oy4W79qY6HQSqPIxEOFEdrjngR/CLG+PU8b49KgyxOiTwHEmWhnjLx2AQtpZX/rszD/s6TqTdx/Bdf6gXuqRQcT7Mn6po7lnfVrbPI3WnjXbS1ZH7exYln0dJ7hDI7/PDiQ7TEfzhN7yzO3cIz7jjnkBTA/ZObEgfoFusJzocvPJ+jMgK/ImnouZ+WPpnxcTV+grG8VJhMjGHrJQIVxlXgZZ3wCRMefT4PT9UTuKdxGRrtn+oTEFHPVK2JVk9Tuc0Qh5wmsO2KgKP+K1cmspI3dW27XLwh8Tr3WZRT9rjpd6sXRKtbsTOtLSzHLfhgyCKLN6+z6NUCN9p0Ap8aXEMTaBii/nkDPpsyHo7g3B3Ow3lLd38uZH8z0qx0iOL2dt5flVMDQmdxfreKl8T8EqrkyCyAuwpHXxUnPSNs357c0LiyQMfJCEmfoREGzt3DDijAJ3wSV09HxyKctZe0i1OqUdChaeHBqwnwoDWaR4CtDdz6S6N4H0g8O7xZPslZ+Ccfudg/N75xq+6FNubtAePJ0vgfibXx9JBC3GSj5MRHsP4Q2BswKvgytGMi+mmZXYhr54m7SrvMrfu6B7wy+RYP5inYY2TinWlfb7fPmaqEwt37j7xWgKaJAFu2lWx9qgTeuDTXv1ByWjvffVQFuZo+0ekHRHMC1ZlR2xdWZoBd6r4n0d7NDVbcdRCB/ZcCbznUC2//bHZCbgJ4qKtwTNyRkpbxyGW9gL7IACP+gUK9ZYOyoW/h+tiMjYfcL9wVA9TmZq/i53n0PTomS/JAzTlVzXgL8LvwNXkYvvL1mPyrl/2axBdJ6kTxgGL4hIwIH0qh2Jbh8QdDO7OOIS1AvjgmxZqb88gqTMddJHcStH6J9GCtyQtAb8M8XJtCn0FP+iChub5cF7At77313e9NViYVgG+e9RLHuBdnwK8OsVJpLDt5U1jyv76tQmWZhHuAf0Fv24+mTw7wM0P278gtfccXP/UQtOc3y/UVR5HJK8HzYCj377yswKeq7fqyPkcZQXsTen4lD82ssNuvu0d23OllPM+5+QqUCDJgOOTnb1jzyjhGXmBQcutAPf03IRKyI6O4Bv3oBkuoGd3jVRfb68n+tlNi/ZSujoFrfyjI35Tkf5pQtw27mN7ZAkh4eOmRWPrdV79XkFbJ7B2X5LPAfDTfzkxSztzfn2exmCrC/Ghme2vE/QUcPp/z3UB9ulgvVcKZU/bNxNi0QVO/gKd4PEBOAc4AbglPmG95ShhNAyfbNBV2qmDjSXbCyTvqAce29bS/th+yNKeEfbJFTRvmfNfr0dyT+w0ajGDmIXnOlbb9AmeFlxU6cuC9rQjPwRcVGOSlGHq5x7e1C6+ZFLvXufafCo0a7OagRc0qrUzzpg9ewCup4DnoJvenHI8DWpXFuRSgWeXX3+82qPA3eFDu2JOo9CH9fgE/bRlJrn+h6WOL3qIT5d8SEY/qWycHLiS9iXgwQz+z/bOpODX8A205L4x757V844NCT5i/WywAc/+GE+m3RMHBRz2SOoFj2PRo6PAUbpo5xS14HvotxyVxwpxlkO/2rvg8WIdCI9+NFw8uTSuGkE323zSTu/15s+75+cCaOAc4/MN/MFK9npTR1Nn59uRURdH1n7zgSZkcO7KzrdxzCor9JwN4H2+5lXmtbwecZaj86qGfcO6QOY9+YT3C05GUYLaq46zNx7ussFy3APWSoPHIVfuoFXprnenQQtlzJW5xufwTHxYS+UBUonAZnqBhl3bnijY9ineu+eHnbOpQlPZWi7QLQmV6AIa/AJx8u5vQ0u+/k5x21ZbDH6AP09bAUoLXiHTmVqCz9Mr56d0hPQPEPuisv0l7MRsSeOS/7nDGoEHvPvaEce8p5F29IYws2m4/wAd6Oties8mAGwNbB3EYu+QpO2A2V/t/OqHCqezGkv/GE77Jk6SxmllvQ1QtaXY9gSRmGDZBariOgSvdwQNTrNhdskg3MzV1NbdH7fAozF+694N6eeOb9MLcKCvClB6HvdO+TpTI01rlj5PQvRqUP7B8WHv7h4iwriy+YIF8JSwZyVKCfcBeiBAokgijnGeu39camfVFqBfMT6+91czPDawZ/s8FiXEmuWDb8BXBtwlymHeAI77ttczj+ZL1oPmDYXFnlm5OG/snFYXVcctfAdXBY2nLjbfMOeJ4gs5gh92MtDb77NlLmgEnjLSBXi4jk5MtH1j86AgruGJXjOpX/1i+/kMXDqpAWIVC9C+rZ3jdMiMnWux/srQXx/wGp575+aSVDWnngTfpEX77qsfKBY+6xziLiK2nnLVgOqvEX3U/axAH5Ky019km2ya4Wpz6Pr/ztjbcxqKCfzxLZW7B3dMSVB/B/3+1Jy7NEKvfnSnWH0REWTvez0iUVeD94N4MtxtUBUaX2zWdxXO+LhtnnYWbOrsPPK83nTfdqcYtBP4LLunKehd8Ah55toz/DXw2L/LaWzsvKEt4M9UiZY1g0G/vCy14AX9TPE/p+wzp3SmPfGmoY4NmFAS5F/zh+DkLOysguF8IwWFeHjVP/YZ8J2tOUmd0j3G5qse/DMBP5wNfxY7h9r2dzmx5N1r8Q5+u9eS4MxM4E+Iol7p5/+9g9d8+j2igoczBNv5liJ8U3y1Ur1IVU99LtUzjzJHRf4DNJhkw+t7HMquuYH2XY5b+5zmnWN2t17TzlrMu/CWdtj2bruezNmpnPZ2lFOcg64v+XRgi7rQWJ+Jpx0iejufrmN9eGOOvtRjeuOeApybAu5MW9v7S7uPUPbnJ+zHN24k6VbzqhARNQK+p9mJfjpXEl/yMEmJ+GvrBAJwY44uFDpG0718zfVQB+BgzDgNTiLxlVC3U9Fey9e5XvtxxK2fg17TXbtJn3/eud9uxulQbwVg1QP0t27zYT2Cxt/ntgVtKBKNzAp0Fcld/qwiPMG+S2AdzyycjpXbrPJoDXt5vcm4GDlPnsAlqSp2T7Zo3/atBYx7x8bmWJCcbts+t3kTPXdqePdcJB8sJodqSzY25zcFv5KOmc1xXvjr7t/EWoprVgQc/P+RxmYpl+xyMtNGLLrTXMSAhZ80BpXtJd2vJ+ofIyva770jKPgBO0vhE3Cuszp9j/RrNrdy1namX1+aVlby8aSo9fS2XcB3BJQRAGq1p1GbMQd9k836W0vQRBvYIwJUpRe88XDfSJofBfGESShwrJ0hHhzDdnNiKQIt9dl0AckcP9a9mUQE+nlRtHFQCvrgkg6tYICREnM7M60AP3jL40Dl7vrtFVd5WL7PARgV5zstQrdakuIkYU+NyV72EHfDfBEhvzH012t6cTuBRwX/eeBfayfdzNcUk4MAl5LnoFk4eJYx9ZSjZGboNVuCpwiTA/DbAp7+fbbsKaYR+IeIhC0QmPjW0foMMdvauRAU9DAfyQegzsPe9YHPgn2jRiV9Oz/8DBx5l9u/TjNiJtC0rVz/cML9E7RTQIAXAe/uJ/Ob2/PghsTgFzaEt/dGIgGf3coeJdmSLew5fxBJg7Qzcb3go+2PmRrYT6HJM8cY4gK6254dfELlwG979+qDt/VlrxLQCeQopjQbwreOCtU49eprHdj6IeqWCDQ0Et3upmKxyKh3Kv74EF3o1KHo6m2bZhwHEJffZEtCzcOVnSd96ic/HUH7gUcHXklPLBibUAPXiIn0v/1SkNysxzTm6JivP/VWfTUOOTLc+/UYzLLLHC7ajb1nOyyhA75Oia4BzAiewHN7Af47ZUlXdZRm+RqDH+3sOR5w+r0u0nsNnq5x27f/+qoRARf51yfOnIOP9ksh9nlk6CnEK9tvrSzUmIZtC9rjS/ApzpAAT4AoicDLhf2zRqm9B48VooBjtlZo90wLFdPBL2qJ91lv3rnfr9wOO08CfGjY9P4lG9A1D9sRdNBIHX0Wi4o4fxybcD2VBd1VgzEn67Fd/3xAoQs6Q6iufJZeMtfROmfL39UxAr+5tO0pBJ3C57cW3VKPqlqu3XJMrtRTEY2aVdqDFhh2zrEwoCF6L3WJSjEtcq+NmXxc4HMoMZSVInNkrP0TTu1sZ/B+wVdV0IAA2vKBJJUwO46m374HgM03wJib5ElWbWz/c7VLRbBwnJSVi1eUr7e8IG5VTMd6nPLc8fOTnQEjdrfGTcq8+3s5wV7mX7M4bRXwc+nyOHR5b3i5BJNYyLtn9Rf12qVxHjaXn6u4jeH/FzxcP2p39qXU2OZKEMdQ+con83cZUx96+5o3u4A22J569LF37k5ZTDIX4s4X299hilgRfFje/v9zv+F7FlyCbsD457SlK9vDBrgQfC+BtZ/29lwIvpudW0pLQUER0H3p+lHKUZtGr5zAig7mqwJsyxwcUPnAXCirD8Gv3B/S/H2fz38p0BGw/hlwwZnC+6ki8DIeTksWcPheP3vXhFWBQzb4gId/QCddYT0xUe51VSH8kQ4JYAD4OJMAss5UOb6XR/QLdNBHtahPu89/P2vRGXcekeraper/XWwfMl0EB9D5SelmD9CwRZX/uTccdzykX9SU96Z/5HlsIhG2kRLtpYkwAb3rpMOjbFjLKyO+cjM9GaPfNQredQFGyd49jX8fCjQ549nD1uHZeXXAacdsWDvCziyB/cgK7WdCbGuuqkauWbq0T/hOtpfRHjQgeIn5NQM0Hdul/K9/pQN2Dfj73bdntjMNC+Dtx8Gj303+Z1E2VwYiv3Km+8H9dwNOK4Wj0H5JhmOEV3unFaBJhAS9kFtc+1pbnM5EqDrAqQ/S4V67tDxhIgmzuFP+zuWsYR/tUYJ092/VFElJTPuTjtgrnXWqUFAo9+xkoqXHAhSHC3iBgspqDcJNCN5gxbd4q8fWJ8Pa1Z7AsD+mtCDgWdZ7FaZPxX97tMom9F++M0N630TrjArA7DEAXJzpUSYhido2E9NTjYEDcSdOTJXpkHmqCJw6Bn0vxIW6f2zt7kOGPZJ2hoD7gD+7LnTEpex+5yBsyEJFZmcIxP9Wtp9/zYJdXfx9ZtI/60GbJpwfhOFIRypXjnMHv70Bfw7x2APGArcgU9X9DrzWdATNhTOuYxoHzzQiu8alc7P8/Z0NZ+tNAGEgNhJn/5x5ma9LXujvbMDbKhT7ZkvPteG2B9MH4/Z+e55LhkMZrTF4dEVdo+B9RDrUXxVPeDPM10a0XeYFe+4IDjrwd6ZkjdRPHWYr0MpjOaovLrKV2Ia2nrI6oGAhjl5pV6QVN4/D8+qCD0zZIvYyn7N88+eeu2SydyOlMc962d1tXqWOEpEK8hCCAIf99iI4NJ2KIZ4mjtt9yinTkV727uTLePpghSE67G8UNIMeCLi+67OSfNWMraSDKNmWomrJHMANouT5wbzdo5StyD2rA2kAGvzchLs3RiVCPq7HWHusBzkaw3tn5EAE3Wfj7g4cctOOCf43N/qRs9aIUQ9VQQRfRJcX/WsNFLgIHk9EO8ikxqhTrFEutJt6SZRuyVvPtwK39mz4lofTJucTaaKZVGMIvqcd9o69lzCkcnB8lMKVIf0ErcabbXuulgCdRBtUW4XI4IAPW0d58ffO3Rl8vBlBQ28qdHYUf7xr6KaTgUh0GjtfawWM5MpInHkI/j7858I+HpnH7bl5SxaxA50lAPsEaB237MyuXsyio3nRRVtI8GU8bFDK6F3ztQHfAzFs3DR6z+O4wr7ArBKJPQN60jEDDN0t4DOT12RYB+PUeVxPsi3AR7HTqOD3oc/XZw3J4Rirbu8lU86By+VEmAtaJ1YZ+Lcx64x35EnYQHy8zw9luK7UUj7qrXFVR1qKdxftkgMd4e+JIGThdUUWkzb53FUiKGEdSur9c9PF+HaGZFpMgZ2LIJC6liy7aYj2U3++HFz9kNIHLafeGmCle3RVaMpJpIUszFVw+OQOcBt4EOLQ5OB7JUsgXsm37uf9CXAn6zWRPabcI7vT8OeuZZtU4YPkXTJTlIgc1lpug4RJ8SW25n1fWQL/2fyNO2UUtBxlku0c0J92xntre8Dvvcn933n7Dx1odAyRV3E0APemzEznuj8j7SncgNYp5X2xs4V0rAnokRuNpnHv/u6vHc3XjAxqJrF6AHKuMrd5AE/RzBjZ2LrmAe8rO+cN4p+M4EowRSQUkgMbNELzHCU29/ZGHRHQBbxZL7AKH+Br0ZK6qOOLec/LfqSI3wCXlXLaDnQA6HJ6q1xDRTRJGidzaXae7V3ffP25k06UdZ+t9ouRup9aGuFt5raD6v1CuP+8rDBhxugReKxIi9awyCT15s+7jsOtI4jRoo0qRkHlAd4b7GfAvamnIS7gm4QrxHrwlPbspJiqxqE/2oisdmxt9RzknFzSSMl8tOd5iAuWQAw8PhjTDqwz/G7xruMg1Kg9t/N7e7wDrf55Cs25xqCH+hmwzfZVXpPT13wrHX/H2b8lDYHAZBIo93FuIvOVx7oDt51JRmCd0RdoScCudlLMwL5PXvUQv7qX31fZSFxe4GPp4Yg9bU3dq06Up1sDmnkSeQhYZNeOpTdStIBzZ9tDNQb8sb2lHOZcXcXUoTblzc4yVb2hnNEU4qmvTP/m5U8Rg7+2s6gdZJ/7TJg4SGY60KR7Uvx1wQ+A7lJKRruFdkFvc3NsT3EaC6VxWzAXXXJEK2Hrud07Yrh0K49s9Pbvs4bo5PDf7zMi+M4IYhCTyEFa7i5sKzLQkT+Vp8H7mBi+40cjTEoG7kEMjAL20iluqWaksHd+FDSknVUOnplmiC9pTKKMcy9nJuMsQA2j715wn9WYHF65YJ4oYR991g7ix9hQwPYetAys/e4iXHg3TpKrCPZUDvsnxHbq3+fBEzteTN/54Genjj8qZGLQPqYeZlR1mf3cDQuTd75oB3oIa3e9Ak5AoOdCPSiL8UG+JN1JErd2dVcB9qXbxDuC78gxWbiTHDI7T5zTXIupzyT6EJwm1WgeWaH7FFRAHocXxlpk+wW98xw408LybNo/vFyavHEnBvtyKiXdMInu4FuBu7mXOQ8J+2zHxzbTJkB7RFd0a2syta2HLLOFytRJwQ+mrhQ6AT91ycF/5Z5+3ztUlSHbcpjL+jlvS+7/VC74Fdv7xWsz1emU2zkVeLK9IC4QFwOP9EdpkhtFhumQruBd5KBFHpSb79oDPgjDhzJmr+RDkGECXCnfvOzb+Sm56D3woaFy1rZP9DdoZi62Ks8KfNWu2YFvy22NQ+5oJkYRwpqbqtNVbYCEXQ1cixRz4WcWlZdd8iPYziMD3dUO+Krwt04KvB/2c67zV7/3ntr+KbbP1FG73IdYaMHPkpK3jI98UaMSTWGz+lFh8Vv10676Wu+OwlzpAgpzsXOokmfKyluKmgUwwbHnwe+zFBG3A+i/HcfCg3fb52GCq97/rE3msaV1mc1TdW1OMz6Lgl5OktImPvvU2GIB4ivY/7nlUaO/SpY4zUvbBB/camIXB1XX/vZp33u0zBe9q0R4P4Xrj5I/nsx79fJ7nmLyBdysINYyJdX/1VaE/YUbvG0iW++i2rJvfFu72zDsU4R9gQJcheZCHfNj67bfOH9kBHE3dWH/HzlqXNBQNi3bVSa4pLG4nrgfNFz/56+cdQu6pePD+rOOAwae7ckNYHuhPysnmSTj4HV8TNzSIdFsWD/Zvsfveoenvd8pjQZco0/dr+4M+LZ2BZWA2LkjTNMlXA0tyhF2tFBH5v55gFbq8nCdEA78EZOrzXE8Mb4iEQ3hs0bJdZCJ0gcf5ZRL/8Zej4XUVFhxwU2cb7XJO7FjY7DUkS+AFychkk9VJF2D6Ucm7FwGfdZF6KkuXOTWpLb3WN41l9LQbWnOTzaAXjN0qaQPPtqvuNTv80OPuIB0fbLiEflRTK+ECS+ngnDGYb3BOtd85QN3odQF7I3FWPPEzhl0c3cN++e8OjjqkPHZJU6bV+FM8rh8Znb2p7z/1297/K29VXzbrBpvmrSdOd8nFPiPanemOYhU26dMu83K9sGgm/WeR6Is3fVAQfWm4W5VY3qRki/gcZ+iM0/VP0rObQ9m9EF7jW3fSvp/2uZTw5/XjthJOTsVYNSRE/CeeoSoi/NOG1LQT/AqxM6YAX7nmTPnoI9l7s6gSx9+LpKJA2+LyL9RO+u8J63tI1gO2J5/x6doep9HoVOcHMtx558EcKXjP1iU+vYej0T+UyNxyQutCIdnMuanFPzJpK3RUDgTHDFkNlrqSTt/numAQ+GFj9zOEi6oaNjO10PisJG+zxzuOVgM0PCXNNSTQDZPC3tUGgY4aec/g64RPeeYS4kuXJjPxkwOLZI9YOGRhySUmLbVCJjWpwvEcpD3VGXDY6IunoSrMzrM77sbR/PUT0WiWPTnwoZ5SUGrpuBtWExkZX2EnfU50h3sO/CTGinXJA3EH+N3dIp8A1hcWu9Bx+S6f64/GmdKBdPjSSS9Esn3Ae1+Z6hVKLvVvM1P4/kCHOEqHGAppwhwJs+HJAZcIbmZDoBFOfdsbZmmWT+ludS2bs5L4yDaI3XOWAierbnl4LsAX5PcBFseJj5z9bv/IcSM9v47XwIdFNkcOfOpi6ASzn+YBFi8T2GvVSh8VA5dAdfYnqwFF+KcO4+V1YV00IdsDPiR0Z9KEsWfa1rDnzZekth7zfd5VOPqI4X3zsF/18ALotefGSLXBtt5EQQ8QjvY+UPgA0DLi6JynaedQgeaoysB7Y84uIMfx+mIezUmd9qbezZowJWZcy6+BVPv/XUA3fIQsWa5nT8cgRUFv0K3/27gyw4gaZ4sSo4kEhZLfSanEDCdQJx7FNv+VK1DOnKFfQDvDNZ3VB8pawnF4ZOPpuAGdDf/7SviCoMDEhoOfvEndVfAOsnXYSGrChtAmmYF/vzD3s3qCGjM0/7e+7cCjRxXnhHEOd9khwfytX6AbhdMtOWxwF0tp0eOp76OyTN/rt8a2/Y6BEwKZD34MxtakxdYgo48nti/C6xVwIw5wBu3NRI/NG6NtDMge8fOFBjtnWHVO0iZpKLReWGG+3v4vhnoJWrvleTUZj1+3yG6p5DcbK1QHadPGa3HuuhX8FwxWcqFDn5E3LWB/X/PR3PMHXOGdzuJweqEfxfwyp2Kkzjj/1x7N8XtzOsiudvzfSXoU4XqdXfwPo+SWEth+5eOma9DxSr36uQhaaWhexZOFZPt3HgmF6EuuERURekCPs32PZ30GBjVpRcVn++Aa07a406H6++0AL1t43BIqnwk7zwirGLbt0TPlD8oeGN77wPPTfaZI8gR4+/TMOFs/HdnxcQY/D0V9fAu7HxKO8vZ9uEOindOpg791xzxzMFp5j4cIYKUCvybw8k4qmxP81IYpuL2TkW7S0UbHzn48tAMbPCBo0vUSBGJKMkabD6B09w0PoM6AQ3o3Fe19FMKsXSCvZk56Du388oNBf1hvcv9nVOBqrFfdGyY7NSnzXEVePdoOL1XOBnlgGLb/wae22mG3hXuYy867kJMzuBXV6CLPLnVOPfaZx5d/ZOZwlT2oIeFnQNYyJF+SfZbX8lAUxBQfM9q/HvLpQ8cSCQ3tl8FSaqeA++DLxu0vbspgFtcPuCNAOzhkb0HS8DP6U8OPpuiSVavnnfa5qqDhp6AD80tR8Hb6w2/82BFEFKJSzlonxlxSA04y4HugWv3lSO8WuIvPTQXxtsVoBdw/BrRJWANTlLeve5qAIMS0CBtBu9QqngajnEyKed+/9UAIeieUEEcBDEfp45w/8JgL4EX21YO+OjQ9sAzHHTvVsg5OUXrXCC9P4ppJcO2k4Ppa5t/LaYb6EObI7CoggxZ399hczPA1d/z3pTre+PcLwf37MoxWIGmW1VhshFF+JAheOIOfFRIP/MFdLswBlwIKjvhVBH+zLrULY2dRzk96UJt7sssCvBsHDB6CWxcGvl/dwGvc2jq/rP3SHamRgf+aZuZqZXR3avjMzoNyUf2BO8kyP40oFvm7Vw5qOvBSfw9wl/Z2KOS2/x7bCgT/+U4yT93HouUdfSS8vX7zBzZe3/mOLcTaCs5Wt0wf2ZCjPmIPSHa9lRAbHHfI1IdD67/AX7SznGw/dy/tD0XjYPwJIKDdpPccn4FmkbEU9J4OCw7vuSxeO/lAwVvD/gHz0rPsAdDeMZH7axcm1egbY8ax09IZDm9HU9jIDOW9FwEwJ+wN9w5URAfoIkfCk830F0P0CnufqFjbp0neuVmveukXMkopZ7+5n3mNcMa1YuC+KIMOK/KUbKhpr/DfnDzJRjykc5Vl/TN0LrqOQ/gTxPAK3kUdG74ulP5ek7Dh+X5xzFsvRN4TO68axDmc9ODNwuxm4GfZ0X6PIYPlw1oTIvQ52NytL1+2fjXq/v265jP6Cj0Jd3uXIgNeIftT+pxR0aAV446pv0aE2eamtDfV1sSn8Ar1YVi75inct3Jzbwn8LYg7i/Aq9sDAnUS45YNeMtdM1Tg8HRIIH414Ih6Hpm+q1fe3vmmR73ZL6bIxskHvXXLpK9yJNwTNx5w3MyLd67IFbTx1Z75+SluPN7pS+WEFyX1JuPczfgdYllgUHheuYiMLLan19Rre+7bl7A287V0ffgWqc/GxK96iBmpRdUJonq92KmmfPzNI9o0AnhEJoEc1n7jKge03laAyge/H1W9UFUP62sSq7dvsBbJiWvUdDoHzQA+XDmAOa+e/TXKnFLgO+/bIsf6aWfWAsYTe67zxsNsUaV+rgW1deIuuR5cMZzEhNIodMoXvtlewklVoSngxRQ3DlgH8N2wLzacqyADza570QImdbA3HhDxD9n9c0tkSlvj1zjrd64jb9xpoVv1neJgU4XnSx0mA9m2Lev1KyedGQ2+oJ1Zfwc9kxyzvn3YOttjiOUJ1rd2160OQ7cUalsjwLOwvR0jkZPxL2ihdlc/1+8z2L0QZiYD2hzjaaQcM/DcON3MP2l4fVbRegY8DTTsO9CjGxY+hMYqraPMZ+Bpsn4tMg8cDlM/zdf8c9wScjLBh9qqjPfzFvThgYz6tw+nEqCLiuloe42D373qAf72eHbAixwap/0SMf48YbXau63t67Rl4coh43QDbXXXkhwlbufSo0cp2yVdlLK1WfAdgjyafzTTOyXfPSSvqyZuK82FTxYC3AbR45KNDO28WjuZzUxMqm/YL+BVg2PpIlUNNu9ksnNTKOg8W7N0LYt2m/JE5tvGES7Zyj7ZgMfZlWYKCH+8a9sJcx+3rPeJLHRSOdpQR+9Bcp1PHHU1xk5eqK9meCQavFYtWvAZ+GHP++yMsmaYfGVsDa1QjaOmV/25Cb6kwHsO2j6TM61M8O5hkvJCgfdBsYQYItsANGR4f/V0Ar9xGhOWFs0NMCFLnbX1m0Ib86R29oSzvtWx/mYQIzmzXt7cG6S+gcMp6GORbqnh2/BZw35556bKcffIAD1yiFI9vGZtr0pOcOnQs62fO/Wmhb10AK52Re9PjZ3Pw4JL5vgY+GbFMF60hzHgdwXvhxO5XgjCHWgLDzAgZD1536esWG+iHN4H7UMkwvZwwqIoe0X1tr2xPvvvbHmY7D3jsRmUZ2tJ6s5cm349kxDTWtIRnmlDwEuR8fwsRWLPbQ48WrkMN3f5fx4Wc7c9qgWPOcM3sqhDWgRTg5KpGUMX9iXghfBtDYleQFgMa/BfZqy2wb5a/t1qu15dEtoZLCdpSuqsA83whjrhCniXHhB14J2+/VcMz+mUxt5jheClHtvXfAeTIC7B37mPVL61j/RD7amRhdyeJdEq9D/KJb0DDB1tByzmIF4toC+E+AA+8YFrFY8mT0btO+adwyJmZWvvIno9gcUVHsSHo658eAQHZ/LAP4AXAb2/FYXo7CzibFW67Q1wD/yrOFcu8VMHfIaXzBA3qHLpWW358vr5gvh75/HuV3mjw+Mh5XqqxsBVwCenYQ2CsY0bmV1y0N+M603q4bLsdMWwncX0wKD9zswrL/w5V2J4wPfTMcVa1V/zp8hnCTpkR0WIcqMdUeB3P3MB2i8Blv6A97vifP5RhiDbe0Mtys06Nb7yySN0SwcHvF1ve6N76cKfpUSIhcDnI+yzMfROTBP4xI3lSQK6hUf3G92sv0pB3vP1FtnPISkAZ5z2bPdmjYEVJS6Ip7K61zHxzqvGI0OzbYEKTWVnbaQo9bKheR5c5yIBk62WqvhM0mJKyaIPBE2uHok9T5xsvdf/nsue/38CN9ua9k81Tp9599cV0vF51zj/edAdAs9/yUbq1F9/njwsVzTGT85anw82dxj2sINX8P9bjjPXzmmEtQBmXrkcfHmD2nduz2ct2wD4mldxgGUBGgu1fdOrz6bD3M6Qyx2al9wPYV8dM/bXKwcTcU5bm7Na2rMX0NWAiXt7V0cd7GWsHSuHAu7pGf6szaN3H7PrQ7nopnHrNfxhwEli8F7AFxo8iP7I5XxvmDpTYXaZSOLamViWg79HLeh6PaSj5tzDj1xmgPmTKCU18B0/gce2oOWKymA7O+KdewDcNM+l0EkdXe8cUabC87MugMcMvirARGCYDjjmVo67p+76x8kkR9DvN9vru37OeYqAx2O95BIp2If7sqdCIJuzluxrR4MjSt9er2xc+I6ozWpOA4iPTTq2btmR42krJr0N0InhLSkEOaDJA01EaYgI7FNTw144Rqqyd7LV19pNl+bGQ/RIB44Aa9yKJwb05Vgx+j9PdL3nnHzCd1+sB7P1Y4rBcwjQTEwlFabfFeCOkhRiq3lQJPZpSEaI45y7OM8d4GqkgGvMJw3DO+wbw8fmwSLlK+ffQ2yDSvDwrW124NEm2MsHFfl56oaewNO+Wf4u9s6YhneUvXKkk5wOIs87mtVo96g6Up2iqX35TNAgZDN/yDH1qyLYlmNwzLHtT0TCkilF3eZdn5IDe/jM+3tnrr0zo+CJplVW4FlLfOZ96fIebZvwz+Vke+aFsGbRugWdR8Ev8qa3HNnGdAsxD75VIcNsLmDe6VuzaPRfrQx5Y++P7JKrwLCmIrT5LAGsV3gysO7OeXXw2oR3oOmLv0s10m/QDvc61M9UqmfVtfuSl+g04oQW05gPgKdhMlLgZuHZWUfzSBFmjfj39g6RFDuLu2eIZXBx3PZn2zee8Vk0V1Qkz3pb+qeCPHOHID3u3BPOFjasz3Vh+9jCPtja8xyz1EY8qq0wtAdsH9BEAXkaR/9oSd/9N0DDG9AtwgF8uab5jEtPkMZ5fMuxHQ+Lyk9yKuut8pTt4Rrq7j8thL5PjEgd2XM41cs49PMQ3SsXdNtmzUtQf7WLvmWEvyv3XUc/H0BnEi7nMOcq4c4fOydwq+XVg+c80w44V4B3CCd84rBn8/WnYjThMun0NvkETZHnLFgaoX0ZOuBv6JC7gFu2n/2oM7U1O9A7b9y4713k2XfDltKrF/pd939W6ZiuUkwNi9vP3H0I4MmxEpSdJFGwP+yclk/GxapigSF8KlKmMtEZY2spJds94TNWpVynB8ePavSbY6ZO0dzmgubWf5X9v7uURvEYR0yelxPs3SOe7iSeFoUD2BfKzuU5cJQEtp8e6e8otfcd0T/3VHBPb2E/R2QE3ROkIQU/kzCbs/G/zyqYvN5hb4JWnTY88iVo+60EPmgiOxtA3avn7BCX7mpX7LhLAta1GfweCpi0ypZkV7PAF6a9kh70qsddFc2EWr+OTAw8era1TG+MUp3iZdfG4E+ixtM/eXy2uTvdiSdUbfGPlP6qWYR3lBwBtv7wDsOzJE/aQawABzH45mk4f+wRzUg0Xag9O+TYZ4Z+g7c+Nm747hHUHqVSqUv9yhUlB29j79o0xva+OBBiopmru3wMBoYF7BVl69xXhK+LHPZjuYR38IW7jOuVCoU9K5zl1zzIjkSwNvZOYKXH5P1Z2yZfExElkdzqewo8kHIsuHn1We9yjHsp6AJepSDF5IIO/bQzKCv+2IGWoE24vjbcj0vnscoFjpWLv3Vo504IRUL6YO50O0rzzpE+ZD3oNYm7+tWrEsF6mGu5kE8Rve6Pn3XcI+W2X/lAvg7wjNxLBsAX+F3tuepJrhhwq2dnf/xziZd850x9gm8JcsDBughyKdX77gb2DRpSpiPgr2fJzFRzAXtWrBgLPnWHD5nBB9CDxxMGHW9nQW9B7wxkQwryyXr4HY5j51TZ3vN3BdyWM9KnbrYcFvydOai3fPc+t0ldn+0X0GKSPCrL4dLnCp8fjE8LQxNJB5WQHPQ1vMe0+OcexXQ8DWfngLBT9dcbuCDw8WbDrafCyeUY6yNovm8tW6k6ugL8f9/rVcKlP+BrHTKs/MqbolNPZm3vFReF8q68QRzumqE9ajcD/fiYFReb0xh4R5G5HCfAGfSn2ibtaTA2TznKC7pT3FxsDxLC/t2b8bdntRBbQGZstnUIvnLbztT8WyqUJKVMFOj17d6Zz5lzdQGL+pyLZyVJng9znjnJnEd0D1pzB57Jzew8ivjvo/Ey4Kd/DwK+kXhtzmP1ricClEwfNreOuybP+PqsXRRxCb6qx/go+wvnE6fOnINq/EgjTKuBOFWocTW0SsbJlngYNeFqacDHg85JZf7H5+56U4fkkC/JJBb81ofw3dZMezoUUfvM3AcGH3EnkYntXXoqMehaLLnNt9gGBenIdxoTbnMVla1tg39s3QZ3CDzntMllG6tFfGc9bWuW+MeCflUieOcenCvwGlXYA4e1XsXVV45peAKtSD36VQJ+gWe5q5CuyJDcMiQC4Yi07AXg1P2WI3VPi0RULmg50CWNc0cHd0r113rFQnITnNxrE7zvzdvMxSnxpkvO2rLarBnlZob3oY5xsJDQJ6fhimy+Gzzz/3o6pU8QLL6S642K1hnzAqKB5zPRltlzjW2tZdn7F5sTCzog4tHu3cNkzjpqcoO/BddnFSqj4mAPn1/V0VweRbg0nQHvTVLwVDfqINAEdMmE+ZZSTyRuP5rN9Xbi3N8v7ZmBJ+HyzwJc+QH+kQNHVKQL3nccGRHWb/2vH4DtedYZzCR6gI7GOhaRtr0AXIjn4q9bLqJlklCKdwuR86CLYM4WcoOfQ0KQSbCAqwK0YYhXeTTj3F1j5ZA3bty0oXvlqLaJzWt+Q7PVP0y0A3BEWscksrORQL+6gKs54BgtC1VJ3pZN/3BsX2RiKC9lamssnEwqOybiA6L9ANr8wGKzyftf/uKvPo84MLn84zI5cQbvWvF2Asx9QEyA5komyfU2E1MIfhNzMfX753rFIz2nwvYp6G3dxa22+WsRshrt8JrvsBUfh+f1kj7/vOen2BkpH9XSg6Myd/icDefJZ81n8Fm7Zy1DH7TZTg/TLe19q72vwKGlFrZHqA/Y/EhPIdmTAo8p/uvXHXmA2vGJxx3qiYSZpKyH81sDwB5oe907LlnA0fXgT+FztEw+qaC+6ERPkDqmOfiZDu9Aa48MibCG95yZYLtf/t0ydz1oW7PdvXIlYXEnD97LOS9a2Ke2AxF693PwXjmbEQjliF7g3a5AC+CM46n2KGXOOtZ85x6QrU+bEtA1h7InR8rvsD5/fR2e73k47UrwwbZrEXgLIsVfBNrrCHsGqzGhvBDvOVngl8inzT8HXhPlMH1m4C0EsrUReM+HmVTu1a3NPwScwbJe7YGjAzaa1TGcy6zrQVuvN2ybPQA3SSaoZKNgwF9ZPeLPcvh3aYAL3rEhJY5BInzDXgUdhY4NaCkaru3slQT8PKsHdJHGBDqf7yAtJt7TW+POn7bXD3v1+yvt7FVWdUFL8fTF+sfzaOuCoklmcp3T+Lefw54w/Alc8sWdKQNNehP2/kGI6hQKz/auSQFb834KMtuHHFsuxCzzppaFWAEWuqkzBafQ7AkmceYmtGFBBJxylzyxc1nj1HvHxtXPhgdoloTXEWDXVtt49k5yXeiXtlJXeJ/f4OVMbXDOBt1mXDkpa1tWBGlWkImwpM9x6PAwu8F7Y9oNFxpNtHRWSyVBO8r3ee/1orvdvY70XbvKNjcf6FaAxwK0WtRn5uAlDYGiYzGrOGH2TDwNlYLPPFJsG5PrvBweoPFtHspMFfp7z7GwfQxxGotU2r60/fqdpxcdI/CwBfWJmzkHm6/3tf5IYV/tXXsv9+9SuSYCj/5fLySTXFk+D/k2CE4FvoNXs31c2iaiWROKpAZvmnlBmIMm5uCy984fBzT0+6xy0sjmTumigXWw5/C5oasjBv/GW5mDJ7d5kpnt/f/8szTO+nGMyfMUg8Zxzq6tPSGRreNH9ODQDXNUCvrTTVmSnyJSWX0A2vV9DvBz6vTxFNp/Y1vXZioj9qU0OR9A5C80qxAmVWeeVfi42V41pe0JaPsejLYnbHlPx+ZZ27oFEz4a2FMVePYSYVtrdgANc1fF+e31rvD+rrqw5xOzqLiw/LpK7X3N10yBawLJMc+HdS75zi8HZXQhHNB5BQvLG+hyV8blAt7Xg70blZ563TNwVj719u/l1NGfvfvvfQ/r1CPZnPL1wp7rnwylF1iqkoEeF1tbpw3fe2jumre8xlqSAfDUaVMiyJeO/NsxFJ/VosH3BqCz2yUtzkgV+MPOStijAP0/pr5tu1Gd6faVOJiM+LKxERgbEYQOoDtAjBAQmNjEB55+l7I+598XPXp1r7TNoVQ1p1Q15xFyb0v/PLl0s8d3Wpj9E6hjfQf8NPYBZ58qqi/1JDHnn3Y5yB88wrOyYj/jiSXC84ZR4hv9f6jl+8SIyjP+yICLVdbjB7jKIp3HWxtBKhHeq6YcKjasUIOOzfB+rwo5H4HXZAMPgdf78Hlmf8P55XJ7KSDGzJ51iSm2JP/3AH7bQR3fwHsNgYtfkr3/U7NhQxy7x0NzB17Uy+ivT+9+tDYbbuFFrv9udPI/pKV087WEOIifgPGMJ/we8GwK/HfNej+WhQJMyKNMoH2pfWr6vwXyvzLaeDQ6eM2IU2X7H+meuFBj4bOXF1/+Eb0/yOIA3Ga2ob5bbSSJDEvjhzTnDod8yzNYB0s56hLy6imnpKoKkrYhyWFd0VJ4d86V0ZdImudS8lD6kANPRDzSyvSNwnp79ekRKANZ/g65L95xOgCv61Koz/Gv17u1DWqXJ2oPuHAEfC62g7RJZfbPT64UVQAcvE+ejNnMPNvc+Am6nVnfUoz6qcLk2Q76hQ/9ZkBjKjCsESQU9ycBeD0fdV/3sdGsvpdD4lb51cGDRi1FXmUbn1ziwzXd6AA8G54R3qNAhgiJ0QOur0a11z+mZ1JF8DyDPy+/uB2Mdjj+otGwUcCDkv4AP/1+x/CeAFuZ/fhT6fpHPHoXqCfAOc8uHWYLvgdToZZ0H8/EJh0w4VtWNJC/tQU48M34xjO2tZLx+jo3jxQHLCfMvX96hHkAyMkAnGOGvHWjbPtN974td1e3dLbGbwOw6bsDGC4GXvBINCbMnXm+x2kSGs/PLiDWgwoOvMexHkaLnYfoNRu44YH3Ri0vhjwT1M7mBpyFA7/zq8DbtQLwl4gj6mx1Hn7+t+fHHhtqvT+SoTEa1R8QgwvUVuPL91FDbYSa0PPnUuUWllBrzN74C0c9uPvPqselb4VNmRO/iR7Wxfj4OFqGnweA+ZYN5STKxnhQI7Zz4+ZhfOgKXELMXuSg7txo+hu+VXR+xvCEJyWbtVlF9M9u2PLyuwHcgvrEbpw8hPgYLM94ehqdoDQAfKznt3o4e5xquGcOGHZ+K6nK0ujg0oh/kSFO6v3B4cFy5ZTcE5qsNStdDO8PuKhPkP/9f54mV6cSdpGt/EhXyIGCQxxv7LYgGTHz2K7KTrA+aKSWyj64DbwCwMwFYAOfIrJrWEyIWz4kBUw9KdPP7DYC8pgzXwQHJOyeV8r/ZpeiBB1cicgDYtNKCn5uAVRUE7ZrqLVGY5eO/Gp6GKVjzyVTsmTkmU0Hi5g8u4ec6AwQK4QmCAvzHIFnpCXXXLkxIwHeZ8PffVmJo/fAER0mkrUN0bPhxOiMzUcrZrm1fDGxnVWo92z1/TqMI7juhVB8lhG/J6G1ihAF5RSnFK6nFmd4//FMLcttI2LXtFwb+jfvwLMVfdfAY6rReE/jnuzjnQwwqVD8BrgEWFLsZhZe+aDPylqQObsB7p9WULuBF/atlieOzl5pPKVQHEgx2Jk4WHIEHMuxl3O/+MsbzrZkawekATi2Y/Sptj9Q+ya8JxiP5COxA5ei+MQGdUxZaTOzJ2DxA9ez8RL4Ahz11rjkyEJ7SQv5zIbMElMXlcX8oAPURefvPCUnq59Syu/VaGoUfytXlBrvvGRYdoC7JcuXj9p63DLDz0bdtRHwfRtFzNWUh0YHF/c5Otzb4P2Su3pgHO+wdbgAlljICnkhiF9c74wHGzGBAwnvAPe6lKsekj1CfCI5+5+uCPCFRbEM8AZwSVi71PB14H+A3z2pM+A3HMF7NnoPqI0OD6NJm7L5xlf9JZh+fVecTzIlgHch9+pq6FzuPELOz7bi6AIY0WLO9gnXu+a/5zsQe+6n8Z0Lm0h5EM/Ob/88QvuT03gE4sBoiVWWfa0c+9gIdFP8pem0AIqG/CPKBw9jmTs6IyEqAAcfcPAfbzR5GXJaBxhhqpgkjYMTPMyJMLPQ7AHPt7yznekblBLuGfKE/K7Y1seRPErjSzG++rGXA4nmewJcPA1QJ81+1GDP9b6zqn38VhpdGet9k+4/IRJx0u75Rblmhoejk+XxVnR3hfyHnGTMhPpQwZxKiFgWbG7VKm8K8rHkn69+G50WRpyU95APjtWvByXgoD3U8Kj0yCSjlsXXkznfDWVP7Bn4Lf+qbP5d2Z2bBttA9bIsqXQSGxEB+bLWuKrtGTWh8Ts8O/WqXvtsRm+cAG74JiIOCJIen/7ZzLGXzDnbPJqv5e/cfHfIeoi7r+ud7rseMD7JONpIrm3pIFTaErAj+ZZBbAM3iSH3itpG99yyo8bVr/mUhRqPwGKmCt5LIvhHS5Xxs74Zb2o5xqZXDOWRD3jwfC/FDPXE20DuQrXpznIwbvfkmwyDXdG4IM5yN/cNdXCSTgdUk380jHy/emBYjw9JvnxjqLG19ek1YqtFiPt6wAFzlu8cFgzgGdw4XZBYcL92fDYaX4k2+qXoolZyyAbmlOb8OyDm+7PTc7upbf5Bws54dP3pA3BXVXkfJ0Toqoq6NzIgXPL5RmkMuWY5lr3ijKlvyCk3LLqIhh1t9mif7zWltk+aNf7BhcrhHQCW52lpLQ+h/ZgH1ycNCGDk8wtj/wDfeqsiXBKtPOXKJGG20S1FJ8eLaBR7mS0fbPcOeUqv8tcfpfsA3H6oeFxClvTgmXi/Pj8huxxX4NEM6LmDH/B7SPeHZ6LL194yb6L4RvZkMj2w1MFm3jL6z6f9DNwf6p613QAeMlqZO8Fswdh8MGs90aa3nl9bwcu26MyePKykxmjFWyJYRjbORcZnv3L5S6fikjkL4N3zWpn5d/GrZferhwMr0KOj/cB87v5mb2EdZxZHhpcDqnCwIMA/uwy+T7TFjBNYcyJfroluvDRfgna4G42A1/oqVDHb2LGDcvAcWMMHtf+8H+3ZBcxCG3aFd4yotLYdXtXHycVrMzGXuWdH6vPaRHwSweOQD4rgUO0zG12Au98xG+5VryyIaVoW8uU3KmvK7WqKs3p4WBn1Y4j9DrD6Qdn4K0Ukl8JOKtMnD9gZclCgHHsvrY7gcc4zBp9hdzkdhkdjzt7ENpGOHhTg+MZo01jxJrf+Zs0KHqoeeDtOAg+b2T0WxEb76KsOkrvRuMx7QhTU39Pz+sR9ckmoBs7y73Zam7sYujwVXp9YKq+Nr5+e+3S3sGogm5IZb2EUtJy8cu+RjWSE3O6VwEfhnUAOwintB0eaHtui69ke1lHPLOx+PgDXRwnHHQ23EQGewcJ5rCyFTe6tw8OtFaQiweP463cyoKMCbAm84M9npLEWjwaqoo6nuVU+JaRHqBEHiOOvyk3cxNZuyvmO9v5cWdcb67msI3loETATofaC3S+ACAEXkp6uPjAhXOSCLCcLDaXlEcBDf/0bkINCxc42meKNHLpBCBynQezn4+bGbCD4RReJYjbat4B7cAlY5QC/CpOTTL0hYVwlbub8788dQeQmA/LMw5jwwbq3HL3wxoxZdxQDP9eDbfRnOuBmR6h3VxzC83T5ZGY400AVJ8DtFR2slHX20Ykp1r6djJyl+w4wmn9mIrjXgLs46+I6sCngn1MpOGme73/zKXSwde5kUE95ADmItsHyRjVyZbC9J8H2v/33CaXZ+O4R40/3n9/D0ATeXfVmli7YJMaTN/BOBgP9p3Fik5Zj2gjgxnv+p0nYGh1o4aFGqBzuKTYaxA3AARYhXSN4FhHnxB0chbobCc8XaXo2jA98yKcUciDkLlSF3SMftjvioIlM/CsPS0eY3uDwURH71QNjzvU4oPm4wuPGrqf5BvFm817F6rk4wCFNXyXUCG5VNq6ODjpCJUng52cc6Q8zAwp500uK8+MIqwn+nye/lpuCZyzZ1auLzCnd+VW/WG56UKL5YvqxeeS/Ga1y0f+z2KSno5NtaM8LMmxLwo3nnm38gTzqIMqp+oCYgJqmC/i3b8r9NHPpT8W2eZsvIi98YTit1N1r3uHOnktPi3hp93gm4/L4xcD/l/8CWkDdtuI7HYl9cuQ9EWoFPo3bqfEAA3as+HepXPTkwX0jIrJLLFPH9Ebu1VdmfM0C+9XngGomf/vRID+5tWZO3WvAbGbeWqVQ/2IeEidxEWMjykyfCMSdy4JuMb07yaryrFdG7zIvHZ02VlzUBf+S+8FLxR14sOdixF995mZPLxURqkoLn6nbZZAL+gQCymgSp4Ueqei+MtEBf1QP4I7mTNHgrFWGwJuNp7zzyAXqjljLI7aM9gP/zvrMrXvjRdU8zfnjC2NX4SKJZfpZ0Qfn/k1a2ueRmqBGR6bvjk9a15DT4fNtWEIuXZXduDFNoi6GP0Nd0Vg5aMxpDDkirmgouemrhZ+5YMiRcvT++syTqbPL0UvUNM/5NP80xoEboR/F5NyyZQCudKssSUsO31Worhbyox7IlUSJV4vF5JE3XGBXTKZXgt3SgJRNER+NZqzU+sbE/DpD1DnNbgyRlKwx5Ll5SAW+pkH2aCxJmEZX2usToXFg5jfqfDvWFn+WdvZkUTxRKw5zhsImfH/UVM8Q3x/YjScedlfFOr+y0dSEL3x4dcohzmBtPhhP1tKew5b+c7D9aQlKTpTFPnXUgQTa7OnHmGUbKTThhTzUz+XA9loo53BjXK3ZADCb2V4aBqYnjKnAPgixhXfnv86JAMN1RrNGCqhtkKMKpnVG93pPgA/k1McExbtkAAjDZq4s/ExCBrk/s6iFAmXZx2pSOGMI4rEzfppmzTzxGLNywAnpkxsLH3/zsMAFjnh4QE73B8Aiqelfgtrg1mtcpFGMoKZHjcPdvJBn+PfGJwxwFpqgTusmygzOnqQFnzl4qB4st8m3sRzmnPekb3bbJXeWF7bJyaC/q2FwqK3P0mo844sjaLyBtXEv++bJCy2TSX01tlxMD0Ml+NhOKlUOObCB53TVM1/ja4r+AQ++ukmPb7WlFmV3T8LnA+v/+g+HxOEl8DzAW53pmytbZgGO1nm612ZWD/L2dqwE9pNQdxLhX/0o48tArWUHnCjPV7Qxva54H8fAyxDwW4aj7gNyC1xjZzXjny6x6Xd6iD2/pRCDqmAbwBAnxv//M8VuNBpfJNhesU2M3/INB2Si5kwasm0VAB/VgIutzOj5Lwk9WEaLxHD2BgEmhZ96zd1Io58BGA84Hsq/thvgPU/Ih0ka4SrfZy5ZkQVYZAWe3v3Wp9A+Z7a+K2H/NFRBnSLwc9ilwNeawu8IcCi17wLqzhMe7Y4Hfz7gH5Wz/WbWYyfH5F6x5pFZeEhDO68dsmdC9/kQG58qs+9nekXiBsH1OvFHqwPAiCQ2um9QUzf5oG+CdhfGgeOhwEn2mGCHVLXzeJ0FQO21zYzKh4gGOw+8qloHJyn0VQ5oX1vBJuPY+DQBF13yPNj+cMA1fD1c0qIbk7XxEmFtTC8qpv/ulYtjvMffLJRP4/XNJlXkwR8GsGo+uzLkgLe2IrO0nTgS6ht3akF6HHGdQwxC7o5UgYOqMD0knTl3W2CtvuHRnEOQNxZYLtR2jxtfnAFbdeD9QFa0pfFVnfAfX84mbXwHeGvm/vmcm33bZrckjUs8GibA+ZVURqOggKW28ls9AZoTSsrhcW2/rhs6xh3ZGY/uOALOfIH81zGkD0oHj6RPnpnmr1nOjDn8hHeLgNzsQ+0gvx4IXOJKa7h2nrAvCK0ofkoNvyzvDjX6O+lL++TGYRMgJ9GJw5g3JML0DNkHM3dMwm2fj8BDuH9Q/3duPhHH7BVylwf6i7GuaAUmtdhWjembGB5Qj/UbZcGdoG4wOnl8mC9Q0y4JIkYSOaXPq5cCGIP6X5BCxUafkUClhfWVtWP8nfDXrPT1Qp35WxivZKRFNTaWCOM7RvDTQ7MRPXYTp7OzARvv+K98wOes0F81Wy7t6PlZbvo0dCyDzZoxGyVFck9hvWfjMtBx7gCPu3n4529eptSf8nB7JAUKj6vRbr7fkxB4//BuK5bcZSBz0ytObBXW6GyrYXmDPOsChfDYHtk13BcLZskKHIoIY47iBe7pggEfGj0bGT5efQ59MyS3dt8lkLOz0ja+tt2BBaXXMHQGTiups5gZ/DvkkHuz4i9sXe3G5sAh+AK51M2NFnj4QJxyebTmuOUKcg9gTgbP2py/WH/986dq4J7gctfYuOAIZe0kO8BmOeDnO8Tlwsb7JY38DznizOz2SK7LdtRZHZAT8NA+QeZsgAM8IhcSdBfJSUBcPxL8YHp/XBro1339p5sEeYYXfJNGPK6HA3Anos08BQ6uXh6+e5XZswpUDrl9w4MYZwK46rj1KgT0BLBK5arQ+FAq03/pKpdO85ADL2TB8sN79MIAR+BngJUPm1pjLsRyScPlA+rtWwn4XU0ZfA9P2dBlnG1neOeAoQ9eM81us49veLzek57nTX698RAwIteHak8WM/sIz/8rGTYu8N6XHwdwaz4TO37gASMslp6PUDR6+c1p/FaZXFeYWVnjpZsZra9OBo97yviPGrY2Z2aviPv1CHXc1iPgWbuhzU0NnoCaCd8Vw7v+/OupyIx+poVKgf7dKoa+UsNjp9krnXeP78lACpxhrjF7vl+OLndLWx0pVW/KRrecJmviagbY84aZZMAXzT17yv13U6t6NIMa4NfL78ZoxQFj534ulKaUxFkBnK6YH4nlLYkzPKpIlyL6Z1WDvjYRfhpvN+k2N0nZhYRqMrokQiQ25NR7OcmSRHFW6exJQ/7WuJnVaP3C2GEVADeZfE9BbUyZdc9WfS/HT+NjdgdstOd7P2uCmOHQzM97bosyeMaxla3EJwURKcsedFgYF6gEPmnRyD9y9/DIJv4NmOQE2Or1voo2iD9KtmUVi5/UeOsOdiChpknxbvrEeFmUj3xPzNnNpnRK40v8SCbjRYcLk2cAK26g1v4cjbYmPMs84A/gbTdFu/xo+5sT4IpX3jC+f6dVXiGuAH8ibjhHYjfWyQpuyYC40aFT7hzgqds07j+4Xx5m9PPWfi0fmGLn5MqhHMgXdsqn8VBTRud+hJj8MpqP/PeM8n/f9TuH9p/e9a8WvpUWiQe8pFLWFqlV/jAHsVZImlhzlYSPHy7UGx0AJ7hkgN+HzJUnKaCe2eUNOGZSTuwuxdlRrLyQPfchp784LMkZvku7WZNhcSUzHs3Kaie/OzlXJw8Ol8SojI4zxoXpO8QH8h9HygHXfTDkO+1e/aiv90cbWnbN4k27WzLAsTGLZqLczkks/MIAmxIiqI78DqrKoZxIpHbvm1Sob+N/WjL+QXrTk79ccQErcY+C3xkbMy8l7he2P7gywlANGOCj4NmY3rww3kuKLDY+zFnEDrP577yystizprH49fnT+AEsJWmn7tlYj6cy80OAXSuKZsAHQTnIRzlejX7ETjoIeJ3vHKFmUit44uB8S5D61Ykx+REz/AP36RL0F/N9OWwTHM3nyrLhl9op4KlSdE86xT9pmKxUnx8VYL026v7rC+uVQwtYJxp/w3vMjy6KWjEjqAOmR8f06z5+tcodbPKVl3/96X09Rd8BziVvueMVif68czu75fbZUsZ3iBrN1tgpre0Ia7aAOlsBzzhnAvel64fN1M3w78Rp7W5mPkAaj0vgOQk/P9R/OmYutuRrNtBTY7k2RvM61LKyZrtiPOCoeztaZ8Clap/sUdns9QFqVlCt5EZ7ZJOicfJ9PJyc8tbm2x+oRt3RyTy6V6weIU9xvNDhbEk7sKTzmuW8XlToZXKSX/CsbEyNf4gWLGT31DxHZ7ayPk55xCCPd25mejRplwEGgXUJHK1nnkSyVNzE2+Mm9jqTe3bDPdGlYz9Tdn3mhf/qt4HPhewWMCsZLXNW1gG+e9YRutDwdx8auPz2WAnrSXu/hLW2inFJzB4WNrqNwng/owBHGCW6uTTuwcktfhFRt0B9x5jZK9fotY99oloPtTN3DYdVKXQGeH6fBsZtArPjSgz3oGJPjoRrM9uyLy17Ii5gwQI7R6t81tbWldYicy1vTaE0YPQNxJ7RecGAY3v47Fefg0OE5HjYRtjuWCNIoACvyF760sI+DZcppQw4auwz4LPkabxE/7nst0fpfklc8sXR8KTjO+S0zmXWYZPvkxvmn7ckPN+wHd8aPr9m9m/5sLmlIbw36xEDP0qJeL8T4DtmDvG04gQXqKq56ZuRARPoyIbl2ATBChz6aPSL4Dvv1RTrqseApMrbyXgNIgTPKDb9WSZbvmZ8fn49N9xYMGvr4L6xlZPcqfsJXK58Zr3RE9nuxPjrd2945QrcBbhx6amw6/JR5dkgI4jdfdvLEp7xt+jlBThBBrHr56tklUVee1+BCJINAJSLCPCeuN2Q/e7TLE49QV5YmcUirFvBXWVJD4vEyvsAarFx/y2to7NNsmGBWAScC6gtH+PzEXAGcROPauD5hjs46LVHNOOI/XeWZncJpl3ELO7lhpuG8powMsEvlE++C/itZL1/JVC7yimO2oivTfFvhb+LAC0+2gFZsldQR4YN41BXjUe5rW4lrP1X/TLn4nBvVjvwj4THHRMPWtlo5KMMOODyso9941fGXPVGIA7Sgn/zAbKt47F8QA8TQ7++MI7xyZWJch4AfjvDCTwRwqfQ7oWxjWe0hyej4eUvcrQ2xFVJDTzg5OqS0I4ya1kTM0vdxxv4nAvUME/x+I1ZdpiH2d3MNmU8DnDwSI+r2hydeIHnEOaiS+nowbP+28feNQO751G3gzo2EkuT0p7X0pFmNh/wEEkMR82HhzkPpnD9aRrGSzNePe6aGXT0UwWItswWSUEQ1uS/XiFH+xLqTiVUZ/q5X2dttc3fRP9pAZ5/U6ZnzYbaBX8GjPSdoH8r5FAuA/OsUZqPZzNjH+eAx5nGMRvtFTu24AH+osHZeHJeAUWOmaP8NFSFGL2qHeRrTw/qriyb0Tskq7omBVuxG3/UfebScQHO7a0ssO9ZoQLG/7kZDZ5Gk0/tlkNVdL408SS2KzUaKoX8Am52zIZ5KYX3kPTTBr5yzhF6YRun1TNSunTrXmYZEN8qKO+AG94anXjtPh6VNa9mbjIvOq+09Y8YH0vCYO1DJhYB/D6+O8L02hXYq3TsZALwso1o3pOc7xujLvDac3iyiKBmAKw9nm9KLAO28cwCzAn7dAX/vFCo64BVP9r83csGlJ5czgynk0V8LFdfQBzhZHy3s+lsJaFCMtRLztQTahuAkmBTDvELb5zqAhESLlbzXz9QoZzB8IBRhltL7MsNHaStjGY/rKtK8DvUeeMjgzOOAO3Zt+T57pR27ObBQjmshJTNgM3wbPYwKmFrOak/rXtq/zO6a0m+ZoArkV+tmAG2EJnbRbn7CblBQs57BwZrzm2kI9kWcgjvoeaZvnybUbXHa4yqCEtlfT6x/ufWzDsSM48/6AF402ufbVVQT8gIXBz9ei8aPSmaQG6tOD9n9uDRfNGUGy2Lza0Z464OPVmHW6GEfWC9npLIN3q3MxF4UhMqubDfkv1hk1LTk4mZGP76vpgQcwX1CHg3YA1LXnPWWBhqZxPNT6NhohwdMuMPtQduvuJBfG1LLDqNo8wD/D6m0exwjr4Fe/xUK+AfQX5KS02cd4NEc8FH+5WjOKwFwKD2Q64opubdFoQZTSajLSBGfkrhloBHfbchP7YTefLVP2VfEOfCe6uDu5U7C/rVXNirPAc+KkR8OLpYS1O3B/xIqLy8ztpKl1MSfHpQx/cKyhalcoF7IczRmhboQ8Gzryj5qAazd8nzxDC/qcuJ5jkPH/sU/XsAFxlJhIpkmm2jy4qfW6NlCJh2hlqYvPJhl09YyqLcyOKfB/SlzHtV5HY85LY8wV0C5sQH4PbEeJ9hzq0kUKc0IoQHCOor/qogt5aOlyeAHzniYT50mFjNrYT6xyCmRcRf+1HfFVw3d7p73XdnvHtfU8CUv3lf+yxhXkbMGYnRJZ8SqPvvG/W1PVWrTHi4uG34gJQIGee5GNxZEudhXHs+mr2P06B7SOFVEA+vWU5JISeJvtmk7LG0nO9EiD/yYVsowCltpGbgfhkePA/q24NpnUB+ltkUh0ZXLRNb4CpXl0dyMbMrxELHhKELKeA9jNdNHS5jPf3pfl9UP9x/z3+K+Jr0aqOMJADcIzVnCxPucoQHwNc4c9CB9/qrppkjgIuWK48h1mQDeaLlw9r0gVPrrqunGeJnuBGXzElv/Oz+5r/ubLi7x+fWqpx5B5yhz6fu1KyN1xZ65OLxVTlm5xnyBnAm4tiHiqtRDfZGRNLhtBubQvrYwQVw5SyHOney2Kb6Wn6aEJLL7npp2f1P5xYLeZAcsGwPEdOjQz1I+Pyt3cA6zazrpuIHi1jxDkc6Y7DGGId/gkzNsJMESV/BCq4tD+Xj730HdYE/aqECEV7XKl9mCZ//2gfg4XYDtS3IoAZzhycnC3C7QFnCOvd3v9CC/Pm1/VCh9sRAsNmrBq66tH3cAV/oIE+7rf53I5F8M3ptUMN/jAcBdo1nUHc2cwSvcyLDBwBXx78zWZaX144Xmr53yP0Qg+rX36tlW9EKk7c7VzHu1qFdVPvy1kywLoPzpbGWwHgbJIUkeEW62QcOrNU34MCZ8dh58WVp9oGH2aF9dq8tQgAfmHnRmDuDTQZ9BEx45QUeVJBdcsuc2T5u9bANYU1l2bh854HhInZYMpxC/E1smOG6EeYhDqXtnwBvv2bN5lqrkbkEarE/iuh3HrDIhvhu/OcBGyWQqyTfQX3qfcAF3Qby70V+vQNyXAYa+WnO5V7ac1EH72s7PqKT/c94JV1ayM1V/+m2jL/q8oShvubhu8WtX/0o06f3BnXiCjH95EM8GW9A0qMUu+SQWRLRId7IMQZ8gb6MLoeJmapHuLbMd3b7yj7cjf9iPW5uPOKiQuSFo87ZaG9yC8G7ae6An1FZxAK4og0I8FEBk6jWYIOBZjW082vWxcpVKXDNKJnIpRSb+9FaKuA2FtTrc16oHxni8eRANjPapxxy5sBefDmGdXtS4vwUeyzpREQNdQBqZZwx/SYCT1RGA1xwxBh5SwAptfQXP0WJQy6VON8lywATSlxZlldZXSiR5kx3P/D+eCIar47mv54KGj7g6rVTo+RxWo1W+INXkXxgnUEsxiPgM7ukhNFRhdj4jMD/h6oeN263yqE7CaStaiIPauELLWL4hjgiU1dVLP5mffkg7mv21vSLIi8JroBpg0dlq6gF6isYfGYYfwPecFpOJsn0Eb77QaOYNJoHpQbsbOPcnNE3oZKZ7R9kiCDX+xmPkEVdwPIW/AzvrkZ36dWLVdvxPueAyQDbmV6x3D6s9ShjwAUkZ4jhIcb5+MjKHg/wjkpYU1YFcccHKYTuxH89MNuA9DFXAyftGJv8SZJxcfIh3hMLv/qI5mT1H8rujD2PlFH2xJNeG+37UDtWnr9bR5eMJ3d+Qi47YrHgxvEGBRkyH8hBwvqjxfydMXtHQmkB07ApYKkk6CRw2R9udRwHmz/uUE3nNdexBKxhPM+8FuGEjZmNV/aE+u3I0Hg84CSNPm8s9KJsQkaHaUiswC775Fm7+lohBf9vuwfMFGXWp0URtpPndUMYKpPo8Or72iViucBzuygqLcnODus7yC//XAUY7gicTg0oOFrdKEJJ24DEyYR+mM37diB7MaqucjUlobdCzrjJcf7IQ62r3WLjIfMaS48sbF4c9gCFdZcGn3ejkcu/3k2Py10GaoJa/6wKrk9u48mpfGBXw7uJHcUOduJKqAceT1h2bzVB0u2eR+PHbMdvRwdXUBcmHMUX40FFxPzSJLxLiu4Q8zbg2Tlxrq6iapPm22PKPjfwnrIKzVPG4n0p5gXr4ZmHSJYWZqbfohrwVwaxRa0YY0aAA/JbG7A7pf4bD0iZA/6ooj8vJL9e+YNEwVOZ3G7JIuf6Qkbv3hboUVPfbvfqzCzttRpwUTG4Kc08yFceLhpHheWlHWyaIAJPYQmpC2tNAMaDnKMs4wO5Ab5jv/ZtnvlzcaAOO0d3viheAkdSsJb9C5DdhIhyw9z4kBa6kCx+UJ5ZgD2z9mubAVZ6Hl1ltOXCZkUz4fOuQeUtgbVZj5bNVnky+mD8//x8w3xFRUUHyBidFJPBuQthAXlrx460gb5jtvQMdTZ/bseEamp8mgCLSFHMvWBx+Ot3+p9//YeI5t95FuBgjKLZ6PsCTrVfNcVvo+ZpNDFq/m/luytgR+NlGTjEnFcbP3QamL75W+LMA1vRGx6Wt5rKuLa7t8wx3kWHTUl5lMKdJ9Ng5hQyWJt+xeV3FWxT9Ve/AEexjdcI9E1smbQDfgMe6uXj73yDDe9gFMbbJfRuAnKKGC2I08CDOuY2kb6zAKWVlivkuUwKBBib+xIBrtwTBjVS4mH7XQ3otT8/wZo0+w1IBXon96WXFchuxmbT6IOVD5gkw+MGGDNuR4wgRi5Qdi55yC+M8YVb70/IoSfW+wJwFsQ8oMrV37e9fxAhMXubxyr605z59cYEvINxOMdwHbiaGqir0qsRCvPdQmD9+ThAC9d4z4DD4nz7o5wthzx8OrrSaP3bAiV26UoE17wQEbOU8V6J2MyjHeE9vPZFL5D/R8D6AXAKD3DED9TYpNnrtDJ8BtYAdogN8XdPOemkNmeC8gmfh4nxS4CaxqztDufvt6QPAMMT00f5bFY1yQjvAMcucM+v/vnqaD04sbyf0vaN/t1vLzwbtjszM9SGxE3Gh1Bs3uS06wAnHOhzu7aR/Kl32xwjUgDW/gKsesw4/8JMH9QIcdV34wnedRIAH3T1q5d4VK6GuoPGUijAqvGaB3rCY/zDDE908JuyEFJFYAMe2ED9KVp4kEmIf+Dtp3nRTQkH/mo9/Mp5QOw0dzNXqWjjsV45J8f4N8rnX44qINcNXQeYJsbuHGHub0h0fparNvvSgGVxCXmBqTAz50kdn4JbEm4BI/nGq60rR/ll5pzlPgNeJb8w8k0O2lAoAxAjA+v/NJD3RouKRYHNjQjl0M3AR2fjFQTxcyfM1As+C/H4oUzNYlBv1NkeALPE7V4/GzRbSmwB0/CvfDxvINfcpU2cclIrvOuz0LqE9f/qjzI1lbEpLvMCv1F3LsnX1hH80yIrF7iX340jXeA5swge18TRbzyUI3xnWo2N6eezknGzpuFybpDv0D22BA0MvnrW4/Vp+gPrtfzT7ktW+VVrwENwnSXFkdEfBhy4b0ayEeGjg9cTME5IyYdnNqqJAoIsdWA0fp5VpA814BcaLgvJF6hX2b0KulgMjxTWwE/L59+ew9d9iSB2leUlgKCgPpY35cL1IR0pRmZq/Tf/BRjfpXaXpBDbbWi/yeFRNcwTxtNYjA/868OokTaz7cn4eReBDdeLdxXVBOrYS3cuNprhgBkuWOjcaImKL+Oh/FgqtuyhZtIaOGROB9t4qxkOwij/aSd/YzRac2ZBLpBXWG8HwFnGK36UzuynYnkC5z8Qy2gJ41dsnJmZrWID1JnkAlVoplOsmXPYUBSPNdc3oeMPNrxflM0p5JYzgVwrDc7em3k6Naconhv70yW9XwqGXEm7zHh05sZDxk0eR0u9ONFJirOVifujXuNdKRa36iWskVkL6jMccuD+enc0e0K/M3vZHfISxbpjyvH2WKukYvICjMRJaadzwFV5MPdJSIwfHxHGDyn8P427zEK66tktieIrfS4x+dXLRhc+Dhtu9vB6fMURLuhu+8GEl8F1BsTMqTjkp+TKw0b/zeigFSgQolyV82BZERdm3x3wZKJ211e/TWpm/OmeDDmbd/n6eVNT/GwGsy94veNxc2kDb0hs0kGtl6eV3XmQrAafnNzsdrS7QxJ2j1Kfb83QPBNYZ/BMfFokUA/O7smSPxAzr/0oOynIEzDamvQHF7j5poq4bCK8ANeEd2LQpSyPwJgFOtyqno+lYwE2i4ds2MK7Vhc+2N/1Sp5t8XmvJiW5o3xqXa3aQkbDe2ps8uLLT3iepofwREQXieF+J24cAGc7QC4zc0G0mYxuyDbNBQc8oBDk57jiPm0GXkgrubcBRjw4P3P2kNXQDWzQeaV1lAO1MbMXeP8353vAwpbGpzfl5S3dd5j1cVbT4YaL+UcGiwNRYfjAQCLmJV/bE4skxOY/lwR2yobPW0rRBmpRxkLJ2AhYNzjcsenjEPZDjB2w7fh1X15tdc7xCfVhkpqusY97g3WAW4/ZoxWQqywpcaCMX9pMGLNEgOV/Gsf4kI9qgBrFRc9s4BCPVBDA+XyEPDIcnfgL1uRNuup1lv1sICFL7WcVjwdMgQPRuKgj/0vQWDTjxqOcn9V4h7ico/JpPLx+997zZJx9xTvIQ4q1It63Ee7zwFsAK1SqkBsO3CzdbS9s7V5aBCuAK79BuMBshme0pPXET2zASdYrG5vn1isthm7XWOg7AbqpQntoNP7OXV0BD4SKMcP625LK+DP3zW+fbBqeb7mdrMC1QzycX5wog1pIGuPbHWw2HOIfalgMmMsTwP1pmK1Qv7QceV/m78YnTeBxuHPUHWEtVJnLT//pa9v3ejpc6KB5Eyg/0R3No8xpkPzV83hhANMHzgdyyr7ebTLeb3z1D03g6SrCiQzilY/KeHFfFEDZms2hKGKacgYcGZ9waHR4PeAp+AD3M+FCwnteFqjjgM2238Dpabt7eS5c18zZenXBn7I3+vGAkwWPeMDvpT44Lfy9YleHhjbgQA0srvPNjJ4cUcLdf56ydC5CG//qYgdbThyM1VS6gL2nKrSPFdew1l57RFcnF10PcQMY6+7QdXjAs7qnxexnzOh849RgFqH5UgXkhve+2a+22vHd9NUzwDgyH+09vOOUsWWU8JyBXz1ZuKyA9zbtlECdtV89S2EtDK6255LHc27HcQ68AGoMSaIOV4Pe5w7J6j6uIA8fK4SAT3hBYvpgkV/ktjpmrv76Ty8ltpJebmA9TLCur6UNVZmhK9ktr9y7l1awUaK0mt5/g2fopsgPDN5qe2b4VwqY+4320lNRPOYREkkhgaEC1+q5TXuN5W4pIbfnUNPDapVuFSAbrhUD98B0/HyoMH7NVhSARV/68qbn5Zz0+EsEZJM4sOZX4pVr8sjGz7XuBw9iJZDWfMzY1oP1M0KcBGpQxnu6bAP7C6/w3vOti3ninYynWUBIYp9fz3CAv3vKr+0AvBjnkfIycb61e6SVwDtmWZuceaHxnW4DxYGvAMxRrBHGM74bAPvlJSOjHJcgf26vdMBV03dYDiSuhPxpVk4q9qeXEsAdWZXZiwCeTdky0D65AN/4LuHPOPQ6EQaQyzsvceOM2p+3kw1EpOgGwh7IzKflw/ajMth0Si5s1Bcq1ImKpcpofCQBYDlhv/a+qDLnoBH5OrnxKoG7m37nFDGngjpUMbN3bnxwDg/adynhatfu3j0Rfl5UoJYMarbRNSNWAtiVdFAb9ySYXXjOmRrfPRphnU9/WoujEHGeIBkqip/tcHal0QMZ+FBz4EBDN1HBR0joDhnirLQeh0r758yCOFvVj3TuLuSYpXT982ntOsWQbXwQj7Y+iwnfMzb7jXN/nbUdITZRGyAmAAMkztlTTFv1JJ1WIM/4QBsPlKbARr8EA5e8tCFKDW9OCuPXl5geY5Jb8R6Hcf7rfzcdnvDfZbsfnnhfAncjr5msH+BvRvd7f3LLzck2ulXLwMNtn7HmAe9JJIwbbbiIF2eLTplTh5AP7fKJp25oRtOD/uslnNXTfCdcRxxybrpbDvDsZ8Bsbr7Gr32Ateyl6am6/HqwhypnvTlDe4yAqWUzaQtwMMrDB2DdxmsBKwntG04La4uMhJ9XqD8PSnkCmPdC9yijQ2Bm2kImHjqNSHK03l/PMIH6zirTn2hnl4zJj2by3aOls9zpZsA4dorIRlmdkAG+mWk4wPm28QcxfmmAwXLAv7vf/cc9/B/r8Z3TOC2Nl/cerquX56Nbvs4QM3gOZ2kr1IaLVXJtNC0kCT+hJpMDD4a7RDpnu60tXR2ebNlVjrpTjjyCgNMOOMt68lNzbjRUWB7EZ6i7PxXnXdXHSck8BPHxOl9OMcMdG8naToBFLBW1+zgle+DlEQnM3ghheF9Z0isLwOfW+cEc4FWFCqrV6LhJnwwB8FFSqN1yYxwTBfUaclwJNXZQfWn6Gl55/gZcG1BDt/DQq5Iwe9ShtGFtbXKLP0mRPRszw9oTgkPjO4+pEJDLabwk6+HR/mJdFVZIl9UoZ9k3FxNjaaD7k+sbfx5sZqZeeYN8LRXk/0AKVbC1saH2ftSh8hmkLKw5qcXdPtm+B7HviYn39SAfEvhCOzVPVuiIuXNSO48OMBzwBqMxpnqoU0fR8+Jo+0d4Ny9fs0Mp8L1x5VvtkossDiuz7IHruM/N7FIPaSuaowyuVw7znI2mNwFRMQyXk80zsydSh9eLZGYfpXPxFK9QSRDwpJE5RvP/4NKv7WufbUdYY/jvohhmjHlTBRimskyvauw0LLvV7sGDdZsBt4Ac9siz8e6cVowB+95ZEHjAj8fmV6fjbJ+e75aMJCDWf9bJQSgHDgZ06jUzQk8OiQFD2kZfLRXqI3MeEurj8jsboWOaGTsZ5/GsqG+mJhJMP23lKt0Msmu1fzOzvMD/IsACQ2V0KCzvPy8exLsauHYeXl8x/5YVGsM124Bb71DjBykaG2qiRca5qvkc8b05b0Y4GbzvUmxFGvFLG+n+6Ki3ihkfpm7MLf2VfS3YaNwYHbNfj12ozzjYfpDg9QyvdinOFwErtRm3H7mN5ixfCHORUHZXSaodvkd9s/f7FOmJRJyWfRf8T89SEIf7TYiuuYBoKYaNGu4u8PvV5CBzFgL8EyubvPYPs0wkbr4fTO9kwQr4b4sccMFlbfA4vCcCuEOw2QJkd0meyymNYsZDdc5HVChO7iXnxq/tTiyjNfswHsAmY98rwEpkYLd2tF+18kwm9N3SYS2HDdT5ZBWhNLO090aXDobn+euXST83tZ5PtQt82PjVF4oqmj0oGp4l1C+T53MdI8DeqEHGx04+VCCfYiK8Lf56YD6yETuUls/E+Z1l13kvD5D7SuCqK8TSd/3c/kjezVJ8OmQ62MZHKImAdzIUAw9BOTARZi2C2XOQ8xnVzsKl6UeZgIOLrcXYn4eaECOZ2xEd5F7naYHfyHP5oAV/lEwf4d3d+bDkvEALKWLbePcmwqZmTrPa+37Nu4lr40sjSUaJ6cf4aCeotVDzfrHUBPEDtfB/sbGhev4qv7aRnGbg2uhbrpkHsb/PqH8A3hjXRWeVo4TsCPzW9IXaZxubbSNkctNgsfA/3a52LG/Y9gH7y0Hu5ZWz5Wzmm0TQvXrn7hWXGnD6Xdqa8QC456oCEZEf4LAeAw4BNWmnBD+0+fJIguVc0cyimryZs6bU7OuFRr9LOhA3WphdE/ufd3Q8ngEeNdj0/9szr06AGeg+u7Fe23T/6bUjMT20j2RQPBnut8qGXMO8a/afB/yHshbDKb8Ji+OTK7vM/nfLaAL4KnDlBNdn2ehkWSsdtvfS8Y7AkV8Y4HBcddayeExcPkIOfGv64Zb3wC+/3m+wVqGe3B3ji1LbpQ1A41pP5YodLwTMjQHnjKeVvwFfWGnf3GC96FbPe0KzG2fxRALA1Jb32vu6J8DFUtFRoUlc9oEn0OeTThB2wgPsgWcMUc5EdyYjl00wn9h/vPVDTueVReVq+g4TCmuKdoAX/LGOYqjZPmXhp0WH+btc4z+tRYjBrxaRnOpf326Hr/IA3GAD+bqrLez/eSUJmQgqvyHnvf3OYrrN+qvraHwhR/5VU/5dQe5KeXzKJ/+LDcGtGT8Bl6m/s1HjS5yM5EcMUOvZgnn47lQCcJ2FzrCGeK7xTz3aoinkQU1xWEOVShxdQN77Jv3gVMX8VWsUspXkwsSvHd9qsXxxqpNqd73xKH6dLz8T2v0YbY92D3XQNX5fJCsdOZi+2DY0PoDJRnDTbxpcsv95MTdaVhXgNWkBBrTnjUDzkEzsnvS6rAW5Cq2F8Qqvis70uLz2sZ//eSW/3+he/2p3VIPxBLAT5eq9dGa35f4lm5TMi08758yRq7zCddvN3ngTY7spgPVr+Sy1f8kRrI/oH2B0X4rRvmSD/kn+z3cpp0gaDwzyn5fi/U4QseTUrYDZRrzbHvGa3Oog2cDfEsBMrgqtZ2LztbL4im32MD5F/80aPyAPq45o/WF6viXgecG2XdbLn7/cu88A4yu/HuwdrOeIsmyVY+kK/e+mQk/kLhGwjt7Y7t0G7GDORuH+yb5FKm5H78esYe4GK7GyFbvKN9rAeK9NbylgHz7kXL7WstHHLtRerZDzZjy83zCsnIyTjRzxAut/U/bxQMYlbcJhpeOMgWuGkM9y6mZeMuqCRPPF+Cfi5zblkKeYVhD/+NBQtK9DroFHVC/Mpkaji3OwT+5wkVNmA5b/zm2O6gI5CVPAiqTRn2cQP55ksW5cck2ZR4wfB4vOK90Hbr0vnwowOQ6uF+PxlgsetKH3BRyH1jZ67fc6iZjF0fKeNSrtavfuJhTbv3r84XnFqx/DcxjVuDW+NLds8me5ckQDjlpYN4ANzfzzkIe8lIUsGxcnLfU3cpKycZpNtfoP0ssXN5+hbt8r1/cl6/Y5xThnEKtuXCTMg4LME+AqUDO3M/AvnwY6zzgam4GYfv0VRzqFWEL/6Xh2klKdA0bJSlvuiNHuRfh3TuC150Bt/pbwTkpna2YLK6ixJm+HTaDseu8vqkcPZemD1DPNxfzd7LZlSY0WQWcnttFYQBXUibN0ZATX6SnAeIyrFAO+NPo0opCv/cMechqsDfQgAwLe9H5rgUclVrwzcydm753t5XSy7puml2U1NfdGzAfj84NDiIUJYQ54ne/9tRboCHnjwAcVQM19mP3LBngf4fMLH1p83IaCqTPkvjCxu++04C7U3lsCebq0uoKPjcWm+SGD+VxyX8LzLLhQZ6MNVw5dajS4iEsKupK0CWJzLH8htBsU8pNyIhju/YVtLhnwMlH4YV0Ap3TRFXhmB/nn2KDsLrgsqG08mIO7qbnE4ojtddjYcqYFcJgA7wHrur94UMRWS4lrerTUiPvE+TSzdGcyvL/yhlbsuqaFPxwtGeMoPpWa3bG4uszUzWg2Oo5Bvnt3mChvyVTeWq1s3OOkitRNhPOURM3lV3svJEfWd2NtxZ4yvjW9rzPL+zmtfzpmP8rCfQ08jVKyq6L4WFpSJyMqa41lnm8he289JnBZhYBVOQI+Y/d170/tsK3ygFuZ/ZsvO9MT1VDybNzyYfbvTS9wGumlcmfvb325vl0XvpVDPAn2uNQ8sHJ2WI3mJt1z+P3x9au54GpbBkZXDuq61ieBYP3ly089BKZ/8Asw+FOJ+JQAFpVi+wU44pmw5KGY9TrjoPS5cGH6ZQddNU5M6GDdsZtBrTg4NWKWKjpUc19k62DnyL8kwewrdHgqS+UQ5x3UeELRwWpDrEWBM+O5wtlMa62uUneU2/p1X7+6SSqKO6MlZma66Yp2VbCdE2fZEJa4iv5zgXcy4G27FPBvxj4hnwy3epptiAfH9Dq1NEbV9PmowmAtR9OL8as94VBk/DeS1/qCz7U18PGbLGIB31Vmqzq0gQ35risqpnuoTgHwXG5qm3QRl6GnleMJGXa3kikvp9Kcf03J6D2b0YyRQB0X9jXjULvt8iHRn5YOo1DjVEggH6O5FHGM7cwWXJUVjxFw6JIW6FsJL5K/fJrgBuoK70u7dDqRWc0DwPVHMnLA1NJVQXnh4VzWO+NhpoKsIF2jX15+17vRTa/sGTGjxxBxq6boLQ350XjmQt6F+CWcDkrWNjZazmsKrFGt8k7NHHXYaQkMB659PbkKnq8eja5+NdpzwtWlRT5rg+1r3mEjg+zR9nJ/cpGTDx1VNvfVqHaGg/E98BUuE0BXZQ14pBoHq2IzrFVgK25iuBbLXOAwXFUsfPcgLjPAlkZzZcecWFKuDxAPr+8qT84W+Jt6a4P4eVrLB+RVozP6X0+MmREZNeApfVZFtlFj4xCU2RVHvKTI+P0+EodIiB2omfIL+NPvTJ7hDbTnJsct5eq/tIKfpVASW3KAd3/BQ+CmUXJrmLy3RXBRkAePNjB6t1syR0PGgFw18h9uQQ1fVWR4Uz3Ob1DXbDMPWwnbk/pwrwptVyPk8QL41/9pY57SvYRMoVOo9RssOt6y6z3r2TOFulMFxn+BXMvndpSFbzNheLBttGztFvhENeiN6g+u2RdioWeT0bNart4ywNjw/gLgTgiu97Xf+1WF+Ltyfmf2V+Cyl1p/PtN8O2Kq1uZ5fbQjvgBedNgUbPjeeNMkz9rsOQ5ezxB7ZBodIEcNgD2nNFIHqP/a8LFyQIj3fG5G64V7j3mPj5Vl3Uz+hBi41wg9KIcrLzDgJ7bhAfAAF3nAFw74uRzIAKWQqlkVg2NyOxa6Ur3vwdoCDuG/8RH/50VBuUy5RkbD43/fRWpmXZKvxRfon4sZecCzg3VmA97VQ2X83rg8tkXjqXE5Mc4PWR8LiK23cmpc4MPn2kFRYy1HNvk7EqGxckhej96RwHVWgBJPzuMVh/va5nvFpUft8yOlZIH6E1JmX/OitLg1ODjY2myNJbMBxblxCrxoKvvDhe27kUxdUu+Zl0ckJmF3aDg+YlsBvpMJ8I+fcji4AsnNX/0yPmMoBvwaxxR4DLd4Z7yZoKaXNHx4Feo+xL5xc5t8s4B/w8paWt19NWPiHC0tj84WsPjGIr+9kDJvqSzzouto6I3MBeaz8pc+gMgYmbK185UzZ0f3YCfOw+jNB/L5bmcDcHNr+E+T31FuurtaLHgI4Fo/hOtvBtgOuMimhWdwcv207lHBI+wBxr6U/Lzmk740+u9sNOWr0hBFC16xLodHeVqJV638g4dmFgrfiMAHanc7eCYz1KgVfpVHe7gx9Olw3TwVh/o3EifdEx/Wxu8sOxk7aeZQmx6d1P/5ZWPgGZwFXZXb/pKEHtR+FCQTYK5weUK9PGNb7qu9AryMC9H7S0OHS+l2MgVclxUoBD5n42i+n57bQRoPn1F+YUH+h+fNXuaf/5d3tP9tyiJZ6wntsDBumXOQ9TwAbPyE4OVmDupoy00u0KFcNTGzTr/6LahL1D7+NprV2JUJ4Pc3eD7AoWZ6dN5vqeCnNorXPPTkqzdVjt4mB1QJGBlXE9Rjh1QikG/V/2Pq27pbxZVu/xIXkxE/LgwCYyMHoQvoDZBHMAhMHGJjfv0ppbfznYcee/fqZZtLqeacUtWslawiSvZEJz8VC91GXL3fPQCkfSEAB1z/qwoaz+hK0Hi26XdMQduZvnAWmT1cfRLhZOaKv85hRdXPBDPT6/GLfZo6vJexHoH3uecuGRtLfjQ20hX/tznD2muszGPDuwu5ghNn/iZuuwJPhPdpah7xhTGVmf3Upv+f30qRvPphHVwoPw89XesS1uvjbnxum0CLhragaZPnuQ8fkC/3eEWgzPZP/txmWKiOscyGfDHV/81AtgRrd2b+EHFMz1bLeAe5FSXAfeZXbKSNUNp4FFT95x1ikMBahnvDRwG8DXLSkobmbKZcTJ8kvMMrKXSPY4LYkN1Ax7gpmr4ETXBlJbZEOoX3mqQj6MRwnutQaqaT1/xlZDxYS922uWPZPFyq0oFYj+ap7v7ZppdSxNOQd+bcPV1V/2n6PK+Myk5EMqvtdsg4jivLeFVKm486NvVUxE7+m8eogZMXyWu2KZX084Y5soB4VenajqaGD8M7z02/ym7rnATRkmbm/tbUzGWAZ1gX1zu2bEpdyEuOnRxdcj0LyFMW7xqX/8B6yTFoFM7bWXTyFRsPFUurcc26VTn8f4fCuwWtRqpeXkv78yFHYFKuno0rMcTsN+AfaHd4DzTz6pC8kQ54QRx6x/XTM3Oz5GBq/XimgH8cn/Mtv/zNrbBp17KyyECHIgZxnqUdYORgL4STjFjTobZCB/JOmFJt1qlzYu0VeHxEmOkD3cLaxM4p0r28bDcC9LKEXE/E+z2PeZlH007lr5kL3/DfMYYM4MJzeZyicqNAy5II+KtAg/G4Ac5zAL6oufhest96+BL4u4a75BthesTDd7u0tij79QxKVxmgPnfmDtvtAWLpBHzrtc/2BrEqU4ZS4v574OLTA333k9lmRgFO63i6mn7BcvQjGtlhJaSsV37KLDymfXiHWO24PWVnnSAzT6eOZJkO8nl01DNzMAetlp4L/vJm2VRAHypT88SnMh/RVDGUgI4ludMmtNAb+C43D9sL1cnI861Ne7O/b+agk0UW/4zn9aMWzUqdSZbDdikhT/3tqedzApj3OssuYb0xGiYX8Tu/r8U5aAJmZpY7ywGyI6t5/wCidwA5ZOWWXZS8NWfKvsn5wCk8eHatEOjH1Fc3o/6mIdx/kD2pcdNwuEOF9/I98DIBnMttexxkC9b/HkAf78zFN4YQavppEQgzuuJBQV44Qa6oVpXhgNzUyiX8Bk4hr3FY77WjKKemx7dd01AtKccB47gADhn95V7GrxCjJ2kn39TmxcFaUD6Wm6z3QuDSXzz8XrjzvuQM+CUKH3mPl4zNuxPS03/eSNLDEU6Ibn+qod1BLtifA/1jPBhIEC5pvv3r8ck6361HUih36iTFftO34oTwnGrSYSEhf6MHXK/+nfOt/21S0Q5iN2sCaws7jauCvVuH/T0d7K7qQ49YKBEIXdNBf6UOt+kgX/WirBLLQbLtyJzvpwQxzp1PwCfycS6Q2VN45qs09bRDzbzuDOq+ec4fKlzGE5oYsbnx9o9kJHOG+FHm7xbEoOlvvsBzLiAHb0BD/uFyFZnv9ybg7ZDrSW7mQqpfT/9PeL6fK42ztbrMzxQ40ZmbZ7y5Szb/UD1Fpbi68HwtNYLeDZMIW6Gd0vL5P35YVKZWe5hePXRXMy85e875mW2N71VQx/wpYzML0/NqmmRNjMUpULMQWzP/Ls46ecnHfws1Hp2dfpOgSYkb3mRILqTb2/luXgRtQJuTGfDFzBpLXjnqaNldHiaeqU6H9Q98ZWInwA82LEcZ4UPee9eyVwlgl2v2QbIiWbHDXNDKBbNsAnEMeL9sQEPljAP3Rv9AkX0DV5ca1mYgLn9n2dUZ4YSLVw/jw2EO2gGP5ecQYtN4Zbk+h3UN2pYwErdVNv57EJqwo60nbiMMMZ0TiJtGy0QFgIWd2p+4T9LI1kS0mMB7+atL4aUNeHmrnWQ+x+bMc7J+/dcc2/ieytRNjL/9modLp6z2qpz0Lq32IuJP0Hypjanpq8f71PTaCbN2r1ZqJSIdkFuy64OIvz2HwMzA4MjMTGqeNVvGUkzp0S2tg81v9e8s9N4BXWDmqg5Zp39MzUgTtlnmqDJ1/b4UWmTOREsNcee2ccbs8NcbKyBlyjaQz7ev/V6H5bOgwP55jzJpYVoKyEvUnOc1N3jeMxtm/9fjxOGZHEh/jtQJ+NIPDdWu6krQKTbKrJkCf9UN015mobdfXWlqGbiZX9m+clTV9FtT22jmaE+AA880n3+4Q551MaUkTMwMjCAtVA7c/VS5e08OV+OB/VBjQuqQ2VXcDsdVO0cL9LCbzCfaXuFanXOnLRWXG+DTr9gYhOl1GOWtFlpnVrgcnGQ82MnMI12Bhj4ab3Fif95xdHVYDO8k4AuJTM+H91ONU9lEeAK8d+H33PQC3D4qTd3c7fDc+k2YIBbi/9PmZs//sh3UZXtN4X+pi09ixClg8IcS+C1lSZcXiFfODOu1jc6w5iGWfuepQ14veAjr3kYuC+03yIFXlb+7qbU8UvG9gs7fADZ/vPaxK1d/KCplhcwZLboT4y83aFkzDDiG7ri3v0DvSMipmIXhHdbINbX1qCJ4v0Fr1WJ7bYyf6/B73vmb0yDeb+nqw3vnJxri6aXNAT+Bz3CXOJ+W8elqkL/Pn/PbWWBNzcw7e1oZUqbfN6nYEoEeoJmz5ThcdmeEsrTwv+SICe5kl/L2f54z24JF8wftE0SEeuXDpAqSX96aMbXDEd9U2jeTWLpTCLgAHIiGoElhyapwD5lCu+WqPkjsV3VoM1P3di60YAO6Hxz7Ds9UkHCzwBp8mjPkCj4PsfvnwQV6rmOR98GtcAXVSg8uW0lsag5Be/QQ9yGoD2ChiratgvfOiiSEeL4eVynqEI8Hh9mQ+40/xs34Han+amNNJsDbI7eTsBm8V50D6FVOK1gHv/N3oq1dA8/OCoyV8Xxh6bPpElab62eEkIFfTwxgM3p3q2FGjVgmwtEEiFzVuy1wVvlUgAnGazCP9VX27R0i/lVLLDhVvvEQz3fv9wpyA+BPBhwS1YHJtdLMN4x+9xcvs5N2fAdaoKPudQGd8kaGd1ND8mVmKqp8Nv7UFazlgrPU4v/Fiplz/NpLwST453GIKTZsI9A0CeDKTQrPY0KGECubM2oepoeKW+8r77THGVCZIXEaS9+VjYA16CMe8C0f25vo2wDuZ2gixIHbfpejlKfo/dVbYeOBUMDulVA/45d5gnexYTH5aYQ8SYgrWG82X/0iR8m3NLXINkngt4z3JT+ZntEBHRszJ24kT8C4C8Qw5Pjt/RRaxsNzrlf9Ohu9qIE/gc+OhPsXmZtzE6+v41+fkJ9zIEltYStb4VU4oE2EjjjqVwr6HrTgcs5nUz9Q1VzOJq8pxvc1979hzQ2N8CTg0U9O1UunnH73Owd8AXz2Bfvc1OP0XXP1DfmRlPBZiP+TqfUphUeynkRprOc8nFqITSuPffiT9k2Kd5sCRkDcz40NsRTOmoPuylZ5YXp61QOsDSNVCWs4d/0LcEgPdAxEw2NpnPf1BHkhR1jmAVkhhjUxHsCQmyE/r+dweyDRxjFn3HAt68Hl9yaaj2auFnCW55mplHeAi8CPXvuiqemr7re2urzb7NerKkkp6K/MQXbOJwswYMNE48F9vDX5nJtesPK/eVHAS8r1LMzMSRnX4cM9MdXWg+I87p/c5hVzvO/q/2ZkUAGa5ehMEOvtr+cg5E07tch8WPWp0Z8QX1IQ2//Gu+0b8B6frr6WvSrSsYE1/H47mxw7ks3/+gQW2W+BNRJZsiknbLtXMXnlw5wDB6i1b/aFN8B+blSXoDP144T89WDLYyogDwbtBy/6p4g18MJ/jzMoZnj3FV3hHqhGBOED5ypNV52aWbxV8N+cXKH5UWn5V3/Io+UNF/sNpnJIB28AvAWsQlINdszMeUX+bXylLAzatBrbRFqkbLrwXneg78wc8EFadGiHPEr6HLTMKcJ5GnnixHFPizbOx5dX1ewdbT9jAXDnUE1cmJ5J684CWLv992K8Rfi435zY3B1X3pbP9zsT9qRMf8mApRKtBXz3chZ7m6x70BtK1M/t8+Dq/SngUc1UVVHi/fHeXu7zwkeVqTPokr4eQkvGbBFxckqfpsbTj/PYcE27qnvreeb4KzMcutAlNmd6DHu/PtKBmWPwuXKxPeYdbsmKP5hYro2TvLjNlDn8DbhJxMbQ41oXdZxMJXtfzNQ7GqQ3ak9djUAfCxWAPvUb1n4ZzyPJJlc56n817Y97PjzsfNVL40p5Dgk59/YbFXifje2r7qsHHh7ysLmzVTM8JB4O+kfWG16lv87j9QHaHtYXu8uVmHl7++OK76wD7gooUz3nEq49hZwcEsBnorH/2uc2ZwlMa6fut686h6LRCnO2vYG+NDO4KRfzDfIGU1THdfC5/tZbdKSjAXlrmLSrUduZaIO0Tz6OrszL4XNzsEn6O6tx/a0Ts2nQ25nzvaQx4BJqX7x3YY7pg9Jf+Uo8yhImkU+AG31AzK7G76SOtpPxG4D1/sNNLogROqxyJ6K5Yjb6EiNHJ7a3mn72lGZOavMY8EYDRx8hBhij/uu+/qsZC6fu4LQVH5bfuZtYty12ZMbdpExDeDdj8oX1p9mPCiifaOUijq0N6P7f/j2Kh+yuRn//22caJ1p0Kq3tcCGCX1OevHA5gVyaHp1yAb4PZG0aAH/g6eOKxBArQv9w4MuVgPfJ0pVHwMkpvHf4KTwsdkWxLVe5V+aZCONFZB/+/H81+mjYtwuY+Mrz+xrWDHCLuIq2g5m/ySLj9UO+BFMH7Gw2wEH2+W4bUGRqsbB3HslUDvNYD0lcre1XHXprOrZlGk2+sh72KZAMVj4TFJ/gOdLGsV64bPwkQBdKCrlzIS7ASnS9nSjcR1CaHpkvhXoPh54nCg3qKr3nK4Zrnu6ARe6JN87RbadzhPoGkTIHLW7q59PR1GNZbh63gYxe9TYQK473VWnSw1p0jLcv7fbWOUiMr8jPeYBcbWvHvBOabx0FfIM8t8kJoYS6yMxCndMAa9BDPmYElXxygK8ucO1vKVwvjXAAePqa2+6cx38rdslbFU9MDqVNO/RUwJ2YrWzTsws8S1bc+KPZIfDNQ92joNK9U3XJSMX210ssh/jO2HZphvZa2b0N9yYb0FQN5CzI3Y+/91W0b2VBAI9UcnTxJkU8SfvvB+HK1HOHeT5/pEGypOJ/mkjYgFfYpUI+G92Gpo+jGlHPBnylvc049UGXLkfQQ0+qMZEB/ov5xoWYR/2dOHao4mmnQuuR2wnJLdMLs01ryjbYap+nAD8wWz6qkfgMOHDd+UVVKLscloOpxybRt1M7asa9vv935ns1MxJG3PG/M/ps8ArjEQsZwzb73aATVjamm9LW6QnJpIq8h4A3nKIWQbyadX8EDFlBr7usT1wKEZP1oD0cvZSWcs+IfDccc+BlR8gxt/PutVc5z5T7ISuUzMP9Wo//bD5klhzhPjk6mj3NDLS0Yg9XPmcKHOnHzDJpAumpIvmC55s1hot3yviFGz8dAZ/rGVxAPXybfYij8Sp/4RcJtdmvsnDkgeZrNiTEObO06QfjOACdiFSCC/6F2fQmY3KUdoLKgQQnJgHb0LeIms15xF85w8caMafhcM2XbUJG38+Nx0L4t5Zb2akv0D8/+Zi5oPu+S9qSCjQfXOuVsXknAuVVK9swht0mtECc+BgHOmMo+WEOGQnTVg74Uq7EMf0zaaQekK+fJdPw+e+NoOhPw+bMc0BXOmVndMn2K32+bwRoQzww72iRZ9rpjRjmiXG8qfLtejIzU+O2V/bVVb33lXafC7dTF7hMUup/GxWjQQ7b7gi8B3KqFNGn9fe+jBffZZuZswBYUaZvwKFUhoDzzxy0N/AGSCZkAh3uwjXcBNVP4G72WbeAL70HWgL0o3ZgQbqST7Au8CR22x88bO5UeMPBxZcXn8/D3v6toXBbQKP3GwnkdArbD1lMOnWV1+gkzF1OeGhTvspHDXjN3OSpCm3q3QTgXnRwUAoxmTC4Tz6Wbj5AKkfsxkb9IdBfX1tfCeCbHT6cA3ykaH/nbqtlPJnZFC0FTQMcxxYiSUW/HLmGa2bbMKOmZnJvzpt/DiuZVej9QE4Ma8d+GO8+Yif3kuufU779OcX715mvX1rXRTL8lvfvD+DgThOiQD3nkBcINJ7xMbiaPeRnHfuUD/zjzCzgUJM5E09AU8w14CRwj6vxxT1TVDR2+1RIjqJI71m+HSEOX/j1v/5kiJnw6pVWC0kkeaO27oHfy9yxW1h7GQkIloUPHFFj1hHcaFLgzo8h77Zcl8/cmsSvf1A/PRqBfmCdFRVLgtpC98x5zTSZ4RltQwXr8ySkUxbTD2DOsYqSq5kzlFu8qxDEorPtWcgfmaXb7JdjIrsZ0VvFtu4Jmbyhf0or2TW2HFOnTQia/BoYRyn4Ttnh6xn+AN/c/Z6XaRzU4fQ4MdvnvanRmpdq/feoXcj/CLI+a54pJ0Q9t20d9hv6nO00JDvl4Mp4CpwovmFW3pidcMj5Po0QcKK9B9zl7yxbuTwqe1LR6N2DXNimI0+BD3LeIRvHEmOKV8quTgr5GzCKwrtp0w4yQOAbTufmoX2rVv/7v3qXqYTPfZdMTbnYr5DPIL7/apa8yszypeECGAy6tNzg3jb6PDgVbAO8uhMF6dJYeqdi75meQQzfAbnQO/eIy8uM8/5zQ5zkWOnrRkJa4aG1oeIbcDU0nPuNjfjFAUo14rx2kzTnaMGmp1/Mbl60czmiY5q/W/VgF6a3ubFkqWjrwHr4wmKOc2Fqu9vvvPO/6Aq6Ld9+AI/x09D+MjNUqavX2pqX8/CnUxIzn4Pa6YY6yRc1p3bh/kGoOQcmu5Qld3OOBn/e/2+P1oNnfmvCjZVrHJes/chRu5Ae4tBpZQr3guHdZV24Hp0kKqlupaVf5+ahEPjtFACnGzb2wdnAWlzc/3moYYyUcYUyexfuOfQM2uTcnUbQ72ZWlsfjpOdm/6FDvgpBEw7EzzT5xhoXNdJ7NiLQsH99bQwb37/dfKGD9TiLzbPSe+A/V7vu9dH4ZZSu/ErZ/M0DntGO/9bTZCPkGt3ucAE8BBHgFKj4m6lxmXXW4yPknxsHHZeCRvrrk+KSVlwBz+rv567NaLTgrCDOKcbZOd9WUgDfFRMH7PbE6FunAmMSIuNfEBIriQSV3Yl5FmPygztzwIxflp5aES1Pc9Z9pvx1xiHT/h20nHegsUyJwLecpnDd12dlJaeD3f7QwvT4e4Ua5GrwgVnSzDD9KF22ZtbkkqI1s3AWk98pZ3YJ+dd4zBOL3CVrd4ySl4dJKB29V2buJeTsUkvDqfeAj8YvnZYFH1LrsWJQq+WgTnRQZi9kf75ssanFbCKtc+DJkE9j5Wx/lI2PoHFdeGc8Zd7AL9v9OSD6j/d23BXwVljng25Hpm/x2fSb29EFDVa0Du96B/D+RG2csk75wMkc0HFfnPsRNd8Ja6WO+Am4K0Sr6fnwL4C3Vto/3HT1jZ/oC5fNfuQGM6xPu61FAUdzlK01N+dtuoPft9hu62fDNAEOApeUb6D7Hdrp79qenpnV/qS6vSoR3s4D/sChqddFRR0A+gg+UGG3p5i91vLEUPisGf/mjt01xtfLBp0cTZBRw/tJzJcTQ2neewV3Pzegl67mvkm0OCpss1IjwW24H90/zqa/PVr2uVgMXgDGmf1NbIPWe8Vh1IRtwaK9mafVZVrbhCcJ8MeAdlKy0Xhd6FKELT+JrVeZeXsjeWTCPsKfH0+otI/W8n2m/mj4NGAF4EVqCQHJqmjuPN/OJ0H+ZjylffY8MXJTvL00zIb4tjawli9lvwTYYVYTLeyEgB9RvygH03u9PUDMUDF4LO0lcAHIzShdzjFOATftRpgWSP0E3Dzkg3qo0P7/5iDoL2LBmnMS6yxUUVF+JfYe8qknmYWegP0Z4IItIrsys0pBUzunwMz6aNz8ubVAd341RWt895b8V0tADi72rhzLZ7nyHw556H/cxpXR+wK6fcPguyreW3Scovx39isq8m5/xwX6wtSfyepfxQi5dzeDbiU5HX95dpA5xqHA1KFel9zmD+NJnGm5Nv23e768A5f+m63zbFxYf8+5E8K7pBZb6vBzFRR4pZl7t+KuCdrhaG39PCYnFZO3JviE/GLOkR9uNoQP0xcIXPyhTN5Y8e0cakr4daHc7BUjiLn+1Z/yPNhmhrXhXDNoVi8RHBvfVVn3randnbN+/zj/55taEK53xg8qozJnxuefJ5TaBNQ/80jAJcTmDnS18QKFz1/vNVscwMIXLsN1/nMr4O0lVwfRG46efB/NjCBb+ioGXCuAz8c8YlEJ/Ilf6tHntSa+AM2bCvtXy/+n7eW3BHzhZi5ByDeUtqfUlUMTyT+OTZ3UrUKeVKgFDaL7smvuKe03oN/iU6xOyiIPFmsfcsoHXPutshYhuCrUOPWg3VLAlTmzZg35MkmL8n4CDV+FSpvzY9Gr+ymULx41qLFZU+vTVZp058EeIHZuxMVvddgey0LjXCNYV2STQfxnLkfYSgbTT5SaesFCivPor4A1GPh02bDkma7qTXbtDjQCgn8kHtBLpzxUNJmZUlzEe9AF8gK840eE+ksGxoPejnE87QHPcxU9HqxnD4Y4avTVBtxuuZkD3S+XzPL2qiclxPmDWHsHO9Pbryce5GHjI/C/3/quKXEJe3cZVT/pWi5Hp7UaZ4myUQOnUR8V5HjQrHatezPX4ktQ3/gge8wmFxFfHeYk7dHCgVz9njL94FxL499Vi3I9OPINfv8VhxsRbfsqXJaG8wdzPGH6VWEtW2YvyngC5aaGzFnM2UklHW6R3bzmIS7xCgnB1AsF8q6MR3wB750SjwV8l3FmfPz3nPLf/a7/49jTsdnNhNj848S+78AAo98aCurHDUVx1rVDPk7fOLJhvaqAjtLss9xrhIJS2EhGfMnN2V4IUoImm8adMFDARxMyp2ILquzyz1O3iTyKg96V4bvB6w5HPKoQEtTx3rC1uWE3fWLA3DxuXd57KC1UR7pfvfxD4/1SmZ4XO9mdx3+gj6cQeNKGr6htOl4x4X0fXPJaX24l0K3REB0am5moq+l5y4PfGZGh8dmHZ8cr8W7Xnf8B9583BReGq+J+GSuR+CXFS855Dzz7d26MCI2mA/WVbwOIF8wC9eJsDwaYBDymqIZ2afKtm/fLAbNwY7ymysv3in/ry1WZR/hSxZ+WclAhtIpg3X8d197h+bxJLeBYDsCpq954/r6qTv3IQLfVqk6N/puD8I2dh3VC2HgQ31WQrumalICpoo6SNLXkDPGyk0FjZlH2Mof3GWof1g1OnXJDbX9Qw6d34r6kNvCOAGHIbV8kVvdM+ycep8Yn7TVHFbikWtM+YaWFjA9QmrMtw8U0nQROasSPoN2K1NTwgn5nsOazde9xVLplx3UO2jHv2oSCxBWg+7Gt9njwFhOveYdGLMgFsPm1b3OhkWnNgRQ0kg/Q14vx9Kp78sCg8whoKVEkUS6s+ylQx9JJVxbN13LVEng9cP4EOAPovzHB6WDPmIcurLWq0QrgSSIR8EQVf5gyQuaa6ziJjX9GM5BURSnwuv2tNr0KPDlx0Hwp1Tg1589x63Eb7Ws22SXkNuCTfa2vz9J4HdrtobLmoTRnwBEhvzVPVvLNrJcf0fxGC4Xh77XlSC4c9C5waI+7aEdBfxrfg6z4tzmL331SCBniHlwzr1v6tWV28NNNzSThPbrmovWBx1gVTTwzuxN+82nmynH+51cpKsYLOtjwbNEzG8hvXbmZxS2FhPU0dQ0vbTWSL9VDPhVtzp2t1Zj1P+Ins3gk7eZRDvOGBf2dh+8uLaYPEic/lTM7UuMnaMJXzdKmttuYgD5kHIfUQTf+hNxYJDbo7ksK9wvcG7QWGUDXewxlRqsyYi00E8mSrT5o/qTFXfsGXFo3o3KZZU/ZgJaMoxvRnzdGX/s23zazelgf8B1h7527/sbM7AnnAaIH4cyZ7meUJDlXV7iO+RzzC/AI4Eaa1gJd2OpbxMKH3Jo+mlHO1J78KpyuzOasspWpTUnM3NX/PcNOMtBMvH3iy/xG+tT0ynPQHyFoxiBnssqG35rMe2lPe+ABMzZ1lmL7XdncA/5wPKMpwJb3Bdf3TLXxE5Z7WP8+vAFxZlvjyfc3R1WFpDX1BLifdmUnl6rTEcR+QMK5r+F3VeQF5yJ8Gg+fJpw/AGvmepWYBH91RRy4V1uhKWF2aosAQQ5sRwhdnQ/tpnSTV57HDTwXcwYPugJyWvjIGbZxFwIPIASy7LUKjZcvcKbRP7HYH1JH3s5s2h/dqQPdsztFgJnOsuAou50i/qXYlpi5CLmeQhphR4SverbZIoAXZkpz5ZCFXOYo05hQpGx4R7vG8VgTkAme11Wt/e03DwR7h+nMOuvMZmxiagiN38MO29kdeAlghb4aVzs1yqF0+OW4qpf/fI+j6wZynC47xEGD+ycB+lK3b3BdhamxpiuKap0+VfR5bwb+OEfflhz9C+DGF2jtTdr/t69xDvwij+y8oe2XCgjwJ10A/oDOx+R1vnyO0Uzj0Kr6T4cI1Z2iDegWeQdeXXJHe7RP2jpsntVwNb3Ka2qjnkXfXo4mwysBE9vTwZmEoGg2fEOJRNd2tjnz0KHPmXLgji9cBm3/4EXi15Hd0hAHwItOmRkS14Pe1tjCfbOhol/rtbw1zhTVbmkbr93MUncZoVPp+kNl8eCEVFqy6UHGfxZoE6GGmUMensWIXv1ElqL7NX3ObY38hxxxZebxGl+03J7y0iUlFXIH2Lg3NWa/2pT7uOqyperLO+XoI4/mfdYT481xIqhZOQ1XHjd3ovXDeKvwyH6dL7e17Ytzb7mYTQsPs5XGfihQ+ZDIaN7N774p4J0LWnNp1s+l1v6u0up175BkiV8/5xPudZQJfCkd5Zmek2w0va/azETpX2c3Nfw2C2fEem84ByqUMd/V0ZYAJ5qU2wJMcODon57x804FKUu2N/cDeKCSDDTT+TK3guJ9KpR7sAHPgHvVnG/OlHSQC67V8NdvfqDMco82YOXQXrKCw3087Fx4wKNwAPmCQm7vTjHkLoFsM2shX5XfBKCbmdoA/j6YNd8g57uK2SwNkCvZMuWwxuGfkwB9fbDlKzYe1AXdHvLDOZZH4O9L1lsLrDGUW0twiqVMxVyUulkUcB3gZKBTZh8URgca289ou3v56FeFunO2XAngM/DKzsyAqjToOf7nZ17CPT3TIbsdQPcDF5tOgYzPHZY88ozPyhNwF5EofJxYG5r+BtLPjzNoFLz2NuQlKzMzyRzE1Co/FOjpktnwFLHHdu93pv2JC/T1qvtiocrkxWBvej+LcGNmfoGuXxUP7dLKnjlFVA06yyiOGjaZ/t8ItDLOh/mRCk9Tq72AVoD1AhopUjMvlMfMbOZVA+62Mxv+5qiOfLDNfAE7Bf6eBxIDL7nkvanjbYcU7d1zR1bWqViMwKFXzNN+b6WcB3VIfhjwThmVFkY94JB6AH9lkAcqMhINWl+zmL+BlnnVLE21te2Ab9qVtXFFn4AuatNyBa2N8FojYATFv+cp5H5q6YBEygNtwCpLv0G++FCOvNOYuTXVJUiGHnTZ49w3HkH+z5mVkHMIy/n0yoeAE2ROgRMYD4mSJqeaTz/isv2hw34FBMbAQz7OQn43Lnk78YSfGca5xduzaO5m7VRGv4zJFXTXBnhImYm9B5wnr3/XXvIF1/M6N99UTmgqPZe8ALwObcN1jG+eDc9hgTyXKlO7ZW3fKrdNKpvQzFkqvjIH7lk0zryXa+ac2GtdmxlXyvRA7DNh5k6bOn7+5/eFBfbh/e4rliRpRK4YtA/vWgb4+nW0pDC4AdzPhVwY5sWE09CG70C0GjNbhsavxgc9Od1IiB6Y6VMmNnaNcClFCfmSTMYL+nVf2PhiwvNm7qfx+L+rESVmtra02lNOGeT8afO7J0u5LYeNI02fOfOmJv7nwXdCmGCMkf+duupU2u2O2WgizrQnCHLIqG9Kf760Q2/2GrJ+MfM1Psw8L1YgyGveHYeop0HrKT3lmUUCoklJOmX2C77zAadVaEcmZ0HeLNNCn+qQY8E8bXyl8u7fk8HnUydbBeitF2cDXbqT6+cKnKFIoyk5s/cHcJjhDNxDFXI1/VvnCHgCm+6gAZ/Av70UtA7kCAk4+sUClKQd8nPL+8kF7xlFVt0DrjKljX8yaPC/3yJhUjbA1aqRtKa+gbicNix1m6Cxckc6OdIx5Dl6CvRQstZhqC34ynPgaRfj9cA67TX636N2Gksx/FUWV4/B757DqVeD8QPTr1rHW7YanTyLBhHJ+smqgDHCswyyEf9QFz9Lys0e+j0V7S7rfOA/hEBOW0DbLWmYOaljMxWhtxwlhnt3VVd6FdIW4AnkR2/Gmr+0AzF2iLDGkNBJTylCiqJNNSZdaWnErL0ndbk0w+IdHB3l1mw3w7uTjonx3y/qglzIiK+w1qzG2ZtqqYsYMgtyv086dlMMjTlDr9qekLBtCDqF5Ka+FPhVNU5JNoJ+M/sNwzYgsDYF58cqVl4VLVnKHnZtznmi+S1bM9O/5zXF9ZnGmWtmqcN1HhstbdCMxgvydw7wK0cRy7vg3lvg7/RKc8ls/0eIrWRWG2LazpDjHiXgLXHbnyr2JWbbuI4aC+6bksh47cL9h22MEV9k0S5C2HDvoG2dhy0hB+Xj9Dp30JSCmCySCvLgHlQH8AxkQw6f09XMVP/cQEy8nXZzRTXwbNZ+CNAPJOaaOiTMXBBpWi7wDCTkjL1ak++MTdnB5icRzhVz0VtTkFcP3ZMMSXt0QlcgZCsb4tHp7XL99xQh/ynHPXCU5DsdpJ1ftm88nPLDyq0mTMIauGljLZMq0KhAdzbAnEo7+aoc/k0D4CsFD3KD18Gfz9I3F6ArApWLmK3AWTPGlVa7LVZCbmoa2ucu+f13iJ2BU92qy1wcLV00Y++xLmFymPaMSQ6x8505jVuO0oF1WmSah427X3L7dV8zcInmYXrDmj4hjLZp3pEgLdqPFLQN78kJR8ySAyjIkS+g2WE9t0leZC7t1BH40Icq9nezZ2q8PSq0t6iT3HPLeFKGtjJOqOj6F/OgW+wUAoL2W+Mx5HPaTrkLuS4iccW0Nj7skJP3bFQlQ77xo/kmdr/gWKcHp+WU7Z/czMyBeIF7fUhHmfr5k+EdpN/+kLh9+Yocad8GoIfMXHYn13LAMQLugvqqf18yp1yooxJF9UbwFpsTBMNja6EmotGVWUvORtBltpRlQUCzlpD/klYVmDKeVOZMLYV18+oZkcP+KaP2mI9tpkI8Zfn3DQ9Az2iL08jM44K4s7yQdf6Q7+B6ommD49LMdDS86SIv75uzqdvO50yuJFAuTk/cZ4A9IWj9TUnRay/FAjy84367q+zJk7w9wFr2GsR1o3mlXKlB03ewYh8y3N/qMXPh71D4785//tfZxpwblUw5fPVD8yqAyXtpOGfVKH+AX2zO4efmpSvTy7uplTPz3QB3HoC8Zk7utqod5B6AkcEavtWad8wCfByWQFntnBb43jgJ8O70wWx8OoMGbqj/JUZyYxq3zZh8pAVwyDF0quL/ZnPnlN+omG9ninm125qe4+8qmqZGqw7W4zdwp/wAbDaPVQa80oPfKc4UGVVwqwZ9Yw5qecFWXnxump7fGhcnucDXusCb3/epp58/XI5ahIU9U+u6EKfVdThBHpso5McD0a3ZD/nFrorrsQSNooBPZcU/izLPBz4FCimBeN2YZ3utnSSG79I1xM9J7G1sqxH4xssnsMS2TNhwBdxInbzgoGH9J3U260l8upWZobYSE8Mfvz0uRe/Ug/qRHfA+jkM8aD8DnVLa2SMNrUc5SMhjXgdaoKXGF1887Eb87WO31J0eTHOQXEinlv2LAcRgeUQiWFfAR9pBdEleOe1HDZ+XnfppOlJilrlHa/MATH1mFNnnGEOmN7k6uacR+iBF88wjeQT0evGN79wh+mghlLr+CPoQrhPei/601Iqdg0t0BlFYm56LThYKdDQXW8QtWFs9JhlbHgzh8IwgZwOXTKNyOetkx6yprx17JYjvcq5fsYGBi+waAau9S9zKsY8YJVSxq5utmp2jdDmF22fVt4AP/26Y8n0TcJpb26IKgc9zLsRgF6bnDyiiB/zaz7mpGbPuZ8h5HGILYv5vT4+v6pvHej1ayxGH1xXHoPF15uBYXUv7n5tp7Zv+TWw97iqW07lI9ucIzY2VPnj0uB/c5Afiz6UBIXKcToJxYuoLmPm8hUSu9SvPk8bszVgyOzgghQd8p4ByzZAkCljawUGIAA7wVUrgm0NZAHbHqBcDgjtCBz6S33ND+tzGwAW/aotfK8rzzLHfWADPhGXA3flLp1xYLPc8JtkpQp0cr3fQ+J6phRSIgf42sztIwPM5MLXqQmsO7+WZu/5b7pIP2TEXD/MR8uhGjXu3Au3BXbJXoz40nKcC0FQUr16Yb086229lPW6QNwi8z8H4V9JYL020XFPEbtlgU1bIr/OITG0qk31qVxS5wKlt3H+6nOG56dupjq83EZRrNmrIIXItrW2ZM57K6K+PY6Ba30p4j5lQBeAVh1yWp3FivGwfR2f6yKjpDd+vRMxr5TReFbTkFOq8ovKRO4vNBtsWoLEJg7UTfdpiIEMDuCsdVOIA8lXYvnoDI4nSVYT9Azho11zevXyUw2+tYgGrGDhx6mxuDWo258iyUpQaj/kg1aWZ0WnXhb6fQ3TnwswETNo0JhLiRGKHrSomgwKFn9n4hSl3WA8rptLGlsJlj2OI7xCwKldi+VFP0Lagu1lAqiqW8cEBrO30Ic23HDAU+EuLqYUvzJFBTiFnRq0Lzy08Wttrjv4988E2OfzlHbHysNWSbTG9bJ2mKO9YbMNsbMzs+GfTzz88zlbQTCJf2QJae4cF2WerKoELtDJMjnyYehlNYTVgjgf+YU7uDhb5MrUk1LK/svVv7+tx4lMEuPgggYRcysfa9ns6Gg+S6Ycyvcj+83YA3g5aD3JPYp5VrILG7MWRUqDw3D82xObG13Ev+ynlgm+A20ZivHpm3TXh8jprq7JRWlWA7jhODlLrEvTkWEL+AM1s/DWM/6SgzrSeOzNv3Jcp0lMK2o6NwPX7iTY2aLdiesuBw0IuAYz5tkSvVwrPjlgbr9YvXP52GfdPec+x4uSH2GQpnfnw6zOxtuk54KaeuTUzcmpXJZVWqHT47Tyot6rnsRj9ImXccKscFBrE18QzZgcQ08eDNbOq4JvU1n/+2BXwEcDzN8FsWZr6D0fb54HsjquZlduW8FyiJrTduu/v2do8la005IkOcrDHQvLrQwwYFefh551E3o8MEsQK3bNh2QFvnc7xX192IvMZlYx/pasPEpu4R9OLSNX3GTIAaLWrWlUukQ+ae4E1MGXMIiOz+QeQ058qIpkU8qPW6gR8JeEBu4nIpulgao+1TygZs8v7K/fu4f1sDjazU6u//XqkCdAKfGq5BayoIDchtFQR52ZPDXSD6UENToV8ywrjo+7/NILfK8QeTY8E6OixMbki3P6kwEfOvRemjn7xqI8mAt7skjxj+C5CRA6Wvp6Qv8kK+aE67vNRZsDEHthBE6xyU3srju7VgesycwXuKgw3aVg+Gh5awNNvgAW0ifaG62+wqyzgPf+nYYHPnmjyUXK5IYwLKojxN/VAjxLglVZdJL4ap8fBLdeaqvhoER9HpXsO5zkHtZBH11Wa+VuQM0HbOaBJW+ZsZ8OfWQxrD+L51SfFAr0D3bsygR0pEue49sD3cQm6lkqLfwHXrprd95LHnw9a8JPxeJYOYHE4g5axj2moQx6QCLiqPoULqEoV0PjTFT3nZCUjXMNr//AbCzk2wPGAV6RnU0VmA67YMpf00z0JkmRGOw9InGIMMkV+mJlY1MziWNEqOt0J8QAMJvBnsO6t5i475PDnVqQrKZt89imbX/U2HyTfyjzyJlmgtIJsTnbzD+A8AWX0TSKIcCRxOSwCdOmlhO+C9bBnOnmrQvImonY4CQQanYfC1HtYUlQhv5YsKUWIb+kwHUCXvWqkNYlVnhX8WJva5ni6Kt5+C43Ne/f/8x3XOe2TrNGTrl0k60KmFWqPTawi4FdXU9ND9O98PuBu/r7iuGLOwmuE3f/pntd+r1+5UymEt0mj5WB6sk5soWls5t69G78D+xyBrhnJHbPrk7F5UmzbE8fMYDB+KsxuYilVnD5Z3z9Ke/owMxAY5EvFeX5clTkLet0XgWvfi3y+M5t5VYwvZdFSGiZVEyUz6BWjK8LSTb4p2+7OwnaAG2qOSJYOGpX59kJgjTBuemjs6uDIXDntDnL8hkXLzFeNlJ29atr9c0dSaaNQWjYlXE3H9d89G0BrP7f2ibVfVQwYYGpXu8z0Q6yKLUEF2tpgPLUa06/lVoALh1U/S1tfG6tl506LcwxZJLQdCbHw15/S+T8iMGdISUsDf38e5b5xzGz4/zxxQQcMcgRdNnhzyXGeBiigovFK0BsVJSTffa8s37I8wJ4QOFT9dg/6+y0fTG2q6X+b/uqx1ZjeDxaO6pHfT4WZwYNcwB/A3dSG7+NNiJ5SzB7krFwF/EuO/6w8LNdm2Np1iGbgHTnELZNIxw1wrWYEdFz5IWeAn7pfTrv5lee/IRe0aYBR2uOxZAuwDHWBfKqZJk7Wz66Ikh1wMlN7hpjjJdzilI7NoyzMLIl/XjZOAUWqNzMfU7F0eYiJ7DMbtPUOD97zuLbktW8Dz1hTl9+Zk+wE9b+BE2oayDcm4BcZ8HjaaojdUFlbwwNXFW4L0JwX6nhfqfVwQE+bM/UPjvyIwrOo+yQlnc6aHpueyykf5tdZADA54/ctOzPPSFnKObqJMD0BvzXS5lxvt71i1mYsaE/lSFBNkwfocQe+a8zjRHMunxT0XzYA0wCNbGZdmFoZ4Do9XE8ri9cM0DlngDU4RAlj3MxmSqrQO5zhnZhcbmZVAY8FNYrMHI3reZg/ThH5OMWZY+Zs150y89UghmDJxqATQU9zu/zdh4LPCM7mmaPPF8eeqxFXZl4kiX2zD12eeXI82OrQ0P2dW+RGNXA553vFWvVK2LuKQVZnnumdGGFNH2qtg4pL0Vy+n5BLgPtNH8rsOQUtzyizYJ29agKPmeCPstc5cM+UhYnFe6yz3/lumdlz/Da1gvDs7pDbbBY1z1pPltR+fzJnvsARyiF9pqBuID/1EOsbPMqdmVMNnNyVcL2w3v9qOI2TsBhBBUA8n4wHTr8NDqsCrdpbJzYhuXv3UleauU5eZmamB6ATLKxP+fZWm5rQ5xbesRSnwP/JRekdV+CPNmoBC+NKhF5jkVdsZBXToPL1VAvUG+9VrKcHxL4li9DFl3lI3fanYXrPODfe9Td4U/A5fZSdBv1lv50j3OZMRpmzdbJBkjRSC4tUIiFXHV14n9b0+q1JdMiDZ1/KES0yML0gScY1fzAL70/R9irzLRKMzA3VP40lR1hXSzOYmkjyxBBX0tKoifWxMfjJSuNhMmW9B6xWflXR54It9NLLVPVoMZPuM5o6cC83wZEt49ZVhX+E6/6tqyPx3ipXjJsutbnb7ishB1ijOzyaWg7rQcdpOI9AUdG/B/Dt9hwT07891b2tIQe8zs0BEwBwhq2nXHlJrY0FOXUPvPytMb5HTN9SAcrGBR4rJPA20NqmVpslKbevN8CQGHLzTWhVkK5Zz4P3ceLpkgdJlMaAF3z/rAb7tWf+PNjtWO3mm9ptHQI64nfuZocz4ytcrVIfXV4Bn7PY6j8pY09Tgwecp2vsBLjQQvmIvrgNwiacJmnzQLoKk9Az+16I0cTMFn/5SH/JcNFmpmnek2NuvJdt9cXixksR8LiiBX6UVMAzKm7Le9UDLupsPVGd8RU5QB33eJV+OU5fWWfmgxt/cLWeCtAoMWiQ3fu9tv/vvLIW+mLOvKro4cI7OLCu35xCFJn5O2mEMxEjrkRyw//5RENOJTsFWuHc+Y7sdUS4j4Ef8OOqy5LzsVlNr8gy19FSsBCwrO9fvPeDit6DWOsEa0NsmSl+ZGc8GYjGVxnN38TRN2aVtxpyoKnFYq42Z+xvzdoYbSNwxztlt0KafGqTH9bb/dEhHnztG0YtYiz749gynE8QLyfQq+PZ5EJA6NqZfgBT9umoZ+40G+UAN2CASoO+icEDncwvkD/udf9pnXi4ygCbGfUyjTUWQ7jmQJHTfumaLnmcL9vXuZ5WbvjM3MY1+hwyXXTiZE+KiUBc3ED3lGJMAoI4qzS+CGpmNGMvA357NnXNlo2Ui6KKYV7220MVmfry5CszfipI72ko7zXa/80pzvmnxYQ6VOF/Z4C8awUz87zD8lm6UwIai8mBMBGgN5pvs9Pu3cJhW2BN3uSgjX8wBsZ8gtx0Av0Smb6FzPIybupBhqQ4x3+1Pd4plvgMmegsvBz0rJM78qGs+YOPLckRuhJrfmvC5KS0j4BzVGdh/L3JpjKehcy+p8GnxwZzHtDuVOCDSrWDepiupbMFLdwu+WUuXrUHkMtn4JsaR8QGrmH8Jcss33pnNsdVeL1RhwS80Feyhg/TV2xm3qbMI5ynDxUuIe32No+lzfrth6IckxU9Dg75TgFbMmsi1OJ/tVgsbkc14jRl80jy2eLaj1Mz54H2LvzOPe3lgRbowMPS4/2vP/YmDSDOxadLo2V3KmAtUuPZklRs3N9wWDrnWLVNr54VxTzv5Gvu7XI0vDeEOLUBU/X0Dbz95+BsrMxcv7W/swDvDq50zqGN8liCpkEFMTNB+8wrRx4erOtNhCrEHPX1KO2z9r8gTzuAW30zMsDMP58KbupWT5DjALeyDN5R7exdpUsbtP5IYuakbHFLO7TI8/smg/5RAWad4+udWrolq3xiN70f19StoubecL0zmJyuwGJM/UaIXez+7S0PNSUJcO6ngmcGOvlGQnI9OvORhIl7cJaHYqWZq/idm/oojiLOVJBf3lcBPB6wheS93RKxvQEHyup8xnDHQcrkDnRwfo7kM7Pwa+8rh/xQEIEPZi4OxFegxJwCp96wgEA8tR/Y+CK5xDGzvfNeQp4sbc7aA+QxSYZFnzXPSSGvEAdRBphW5fPuFLamLqpQfeucC/+l9Uwtf5q7oO4t/mTW9+0UaVb15qydFDX1cxpOndLtAuul51qyJvjnMC0zgXhRFrrjljmX629n1BZVkS2gN95OgEI4tG+56wvTC/fK8xBboDQTdO72FusJL3nywBHovfAdruP9fnTk9WATwUIE2ghimCWgJ3wfNO+cOtyB3BzVDo6yYWvBs3wzZyssVB+in5Z8sK3SRi/eG9HCB61qB+VvXUp6YyG8sQBF+dp2OVvS1CL3M1M/Utge8N094eYsYG/lduuDrhVp317gmV6ygVwZ8GfABL8JJ1gb+J7G15UN21dNxSbdbY3eaul/9TSoXlEMGDOLYdvWhT8Znx4e+21uZoMEHOLAfqs7XuRsJjVKKmJfncqZ3ZqHjxP3w3QNPakJAYxfj7YE/jq9vD7iNCBjxtqJMts/s+yBB5JR409YTKUapVOCgqqKdmgCqevB1F20X5CvviphdKXxJTVzOfqVdein5J8Q9z2889nMEbiADltKyKX/+600j/Eqxqko2XYsV9IBf0OgpczMYGY8ShQnsrL3Nl2B10Wmv3L/yHp7zAs1Kb1/nmljncdEy0IJan2vpueWAJf81ZhiifLn98vz06sA7Uqzx8a4D/gRy5G8UZ2Y3tqO981S8ekCa+aNWL3LHDtMra2r0P5OYv2WU5yVVtulVuKZ2SFi0CsXLQNec2E62aUFubNBv+pFV+7MHubJ7gwasqT8pkaS5Ch5KzWngAcQ1+3KV4h9jlnD1SNbQduFc0dH4AN6KoBnz2LEbWpPUg1LV+nwgRmf6s7MCJFhZtn9/+mU5QA6EuOhX4ArmHHFgRiBQ/XEB56p4foJ4OkNW55Q5jcsU1+aSAGKvd4BJxiTnnXMqcNtxQf1kXa9h13/G9ZVnkZ2pFzevfYqVb6daiR7yF8yDeBds2QpCz/FtBUq+Lwf7ORgPPIV4yEXErjANgYcw2W/jBJlLhsbU6cTyPB9Bd3460dY8vbInGmWDkai+Pc6o0dC81MmVJKBPsDRlrOQWSLKTBwiyNkdXXFLIRdjiBLg3B/pYC/S0ZmI1EYV103Otm9mXvevl7Dxql5T+JvtW4PCBRf4gxafLw6wiIH42Pg5ufhLicZNebKexQSa3PYh19N84AjuaC/EDHrQC6iLdS7ShQQE9BT+xtZi8CcFLLvTkXyk4vpMXbTBQbgKlOwZYOKr1pFY0pGUQ+4BLomuVq71ow5am3M8mRp/0WGjqdjBRpnpSQHO9Eyd64PFPD5FahDB51MFsmpClQidzCd+XUDZb849MWeBGzML5HVfak2eeLe1a2DN0pxHj8zMKPlohmQAzTzUcf+UzJ4VSxLuJm5tkb6OpcuHfpWu30sb7QAjU+xoga3SMfvpeLy6JWRd5oQbHOrXXorII3uqXbiXkDnSKk0d1tgU8sCLpAVdxOH7WCO25uwLdEw7yhHvQWf5svci1n9b5ZjYrAvd8vLuwTt15GV+Ow+bO4NFyiI748W/lw8McBd9PbjJ3MB/T0VbMru/lYL8nArASO0fmw67pcOx7K9m5tLdYOTxubVxlz5PBTN7Q3lKcVG5/h14Vwex5lDWBsDDAFeBT/7f+gq5Tb5FCLzkuZ0Bu57AdTwS7l3T6wP8cw9Y19egMiGrfeeAVdLahvmwWbJBeZjiayYmkQ9banp1lG3ORP2COf2Kg/0qihDW+9/6gn/aorHLJ+nKe8NwRXfbrmKfN0lxmTo4l7z94XbCRT7HvIfIDojxPS4O636Tm+drtx3EATt3n3fa83vK+EcekiljvE2FN9ABverZUq6ZxwN/Bzxgk63wbSL5gXX8XRfpxnjvAJ7FZAU+RZElepXlvTk5fPeqAXQBaNzaWexatBNoDIgsNOcCHYBrLEJsWTbYH6YX+rW/kYk2ZF17zW1USTbz3No7eaTuOcNZ1Ul5sPAG9NEbYKps7M+nDBQwFM7y4fvBxP4GOKvTaGt8hTYqJhG1kFMP3gVHV3gPs6t68ooNnK2+RdHkYqrd8/8j6tq2G9WV7S9xMRntxyYgMDZyELqA3gAxQkBgYhMb8/WnlL3c52GPsXYn8QWVZs0pVc0aZE8ivqgQhAaH7BUYL1R4bWZvOXw34DDHlGngWGwFVnaEz5fCU/3KxG3FEcL5kOhsTG5MQK4OF0oteTnDgr3ONxoIHFCej9KZHzwetjbGD+oSD4+ZLX691LsTaPcT3TL393NxgtsBecTWFUF/bQx4UbnJ3MT6gz3/3CntBoLQlbIdcLHsSiL18p8/sN4fgJcXqfitn3aMZzdzsJ86ZkZjuMtGfQFtdz+5kJPjz6vx2kzd8l72v2dbS9qrXjE7VqhxJTI+TWg2c6ZkyD3AY4tG+9fZV9RS4FumfmFEx3ZCH6WDRGkPHmDGQMc1g5ifaMSBoxyu1dhcc8f+Uawz8xqf0tyBshUymT6noBMh98fGMxb4S1xBNmmjOa548zojKtLpArmJazXu48ZBDuzTsKbqDTDg2Vg6keNsn4vujZpz3GG1uLPK1CndFGlTv+vWWouW6g00vekx+WgEyqtR5zkokXb0FsDa8FWLRbm0xGh3NVM5aNWd8XQ3vbwlleGZ+gvtAT/G9c7DGXIpn4A7ioqa/OZ3wKFvOZuDdERnwKRbpeU7LUhea0UqO/nOe2587F59iIdziKeW7b8waBgz88/MAQK8iOvYT9Me8t4GqB37j3JQb5XWEnhwkYbzTdAuh3x2zKz9ewO4Dzn8I3OSbzZgUQV+0hbdmThzjp3Hf2dEN6f9n0d4JgrOuQgdXKBKIPlROX/sc/7HhudrQ6zOJcVj25MdaL0lncwsbVODae0AF77U1zLKr/3J+KylHIhXMRvvoV0j1o3Y+MWxBS3wO3G6rRztyniyHp1ZM5QAT+5mJtC3otjMAjJ7+yBdvWU9ikQQ7uTYGK/QXo0S9gb57X8AXrMRji94SELA15I6+NL+f/1hkY6rXU6o4mz5JoXGjbU+SK8GwJaSFel6RsavQfXlgC6gc99wCDg74u9ylA/ILQiHS5Lb/AbYnAG2Uz54PWHhlSDuN+PBk4V83S9fz7QrUtCh8Lk1Z5930vspPLJBOdrjAq84TATEuS+C7mE8aEydrHL/WqCpndSCb60Vrb/2h5OjoqZHRldGjZmgHfy9g/rJMPpXIy0hN8S1LYPa8m4YNI2MOHBZvtbc3NyzZzV4Wo6/eeoLtI+n4tLc8dotwxZoLNf0xsNz7XOzbohP9ThcG+of8r7TSngF7lXw0uacI6th+6EeOiEL7LU9epdc6gxigQ98x+B5gs4B3ZqghpsabILlmHl8w/RkyUfleGPpHtaSAi/qpalnPGN2u3PhpTLCF/6+j1+8t7ZAu/PLvcn3qIn4RwPaRAlmyR6t8Ewgg+3f5ZDd2wj02HMpqNO9q7iLGwbai/rnHDgJZ2vCndRg4aXUftpGHjxf7we0flFO/+rnTW3poUYozZGZTYVD4Ca2ijg8L3Vvnnvg5n/hfUADUv1oGDMVhaIBBpxpwN0JWZWtjqwg2RkNDuboxiP84Oa+xQFO0mtydP/dSVlNYXi1RozhJx3tE37uTT/NMzNrbvzqnXBlgy4qUFY8/guKn6yNy4F/Mef8vq/IkLnl4IkU8l07kUsa4CPdDtcTrO/J2tkiXF/1h2s1kch4pbdFeZd0cE+bnxmveulAFMaZQwP4Nws0Pvc7+N3yTDXwJvIm0UzbPnlLXS7TQr/RIHmy0LqrPnmSGPJgod6ProYc9OqhW9LS9KUMHT6B9iLviy4n/gMR+1E7gEfwWsCDcEb/PlJnOTdfy11QUGShzmuxjysLMnGMOtBCfhoSeA7hdqZokrGWwPC+M4Y2HtqvMwcOWO1BnueUzfD9YMc469YGn7vaWo/M6ToWy59zOKcq3AOH1U/1dXNLG5RRjzhBXULciwV74aGmEHT1wU7D7gNwcsI6vbdftwfoqP+fGzioHAdJX7uIVFN3JVPqUSGXk31wIN/ZsJSTmZPKjJ8GmgsydlNJE7sZZuOJcwaxvcHefSOjhr1gvOf0EccQ7VHCWi5pE768uJff8wXQDZBlcGd8oCG336thmXI7ddjAaRUklxIwjoKGqyyPAY4EkKdc4B4P0N3InDsC5kag1b+yDVvY6d7wpL9I3Oyos/BKrC//Ddjby60EnZeH+F1RVLQxOamYH2F/7vIY1nYbjPdFCNz0UIvwWU1/7dLMPhjk1LD0riyV8Zj8tFED3HAJuGX6ED/X0tl7v16jkD5etak1Olj1uLvKQcNzWkGX8wcVXJRM+gpdgK+tlormUUT2MR35PR/IVzPup8ySHzlLynO0HluaQP6X8J7+QXDkZxAEGcecDYCl0/xvpgkX69xADv2t+zGMylZLE6OvnM9PCgJbinnFziKML4a0L9ca4gSD3iiZfgfN/oFd+YFBrzcu5EhmP2HtbMDnA2PNI7c0cIrllSvvaUDe0y1xMwv12ThfcuAZDBiKEPaj6WUG+BqJ9/2O9H/NbLszjYiZmVoJwGDA7NHMMZV995ENyJUT8OJ8H7WI8xo0fbmRKufhv3MAyLM+5OZD4/51AYesNp4jwGAkt2QAjL8yyztIttdmBkQVAOcak4wF2CYb/2nYygngFRGyF6FcyIDhOXR3hfwfKTLI6RIT+vJ0ut3VsLtD/kshZn/rVkXQOJxmz//1MFvPRifGpTXDGt0x2z2lnmXqyqMoZre2QXuzP46JB+AgCLMV4hTyr2gsWEPg3NjMIf13llK6/q2GPZCa+xYUPuH5YDE1TjrhR6tJUbpSlsN+VJG+pg55nKPsSbQC7mVZ6YiTbEqKBpJxHqME4oTyKBHAMT0l9IBN/5BOX9rcgp9fgWd5WPAc1r/nQi2cSlqObKvHjhBTXxqSE/DBlG4+Z8Cta3v+akJuzpkRCxPgaxwzTjibfAb5mhjvznzqzOxnhAfvdbZsNLyTCxt+vi+zfBlOWwh5Bns4tFc1mbmS7PHr027JBTvmfroxM8JGHA3Gm/bYxt0HvDdLC4VgJx/bkO8EU4hGNqD3/2Z9vvjG73mhuS8blIb1Zpm5zxz3V9UDD7AVykDTAOJUoGGS0lLfEAmV5MPTdNzjMVlLsR7rcQa8WNLjpo6gxdIjvD7o/0i6yqkK/5W/gGvBemnmtNNvb81G0ACR3Jl7p7IK/pqe+LXtDxA3eK5G0CODPmcjMhPIutriS8U1aAZ+IBQlVdgdqbAsHtkDEQtwXJIw4HkvnK/CxjX3iu2o3Up4Mx3398ruCopUwPP9Nf/aZ2amU913O9ijwAjRb+9TgyTOXf3Mp+QmR68sXTwbjn6yVFgDZ2wp/pGRt+Puv3u9HHC2agZUVmywyaBTZqGRRHvgRZ87anFSgabHkQwk01m6aVx/LU/jOcUKHELsAr/0ZDNerinklxzisAJeKYQH33sBXIAcHr7ObRZTd+nmw5ICx7GUZZc8NH0HfKHhMjcFtlNTLx7Aepr5dsbldEiAV908FvEKu3pKe3xqet9Rgn83VtLl26fTDPLBe1jnQZ2aofvnz1a6HW8KcsvY3s0D9SOKT7uy7IRFnX0O96BRJOBrAvyBrJjrpXbxAfDMl8wTlbCemWPmgKgf0D5n7uB37oYu7/UC+10Sqk4ikq85dNeTBZ9DqCxz52/IIf7JSbaao4H38HIB8agjaWoPO8kSnCJySB3byUevbxzdKUCJcvOZmTvYRtlqfE1OG3umlv1MbXyUX4vdxuqliSCv+mY25fvJ8WI+rnkboLK2uZMB2zV8skXmXjDZiGMfsKu43DqrDRXk82wnUXllkWcB/4yJNrX73YiDDmXOzXjsnEqNBva+/+dZDfhUiQiee4ik0OiS2+zO4043YoHnwJ2WyqiK9eHMQC+xdYRcSgGL55Kjn1qwO+gsH5B44oE6iJFrqg9PFvga3kNTp/TMXMCXXsYsg72rfmrgkHWkN9hbpB27ENufJvd8VV/7DzXyrNLd2lhLQDdVStDboCMnJchAmV0SG12aCPY/Ixc64GPmqjNowJkanb4lL5x35fa5igiPgGHHsoC/Rwrnwto1sX6UrOPtuByPTmiBboJ1IijT/N3cK2GKBXsu0ZmrsYoRgZidiOtzDvkoRXjLLIVEgH4yZ35xm9s5BHwdjMfhsFWj9wO6zTWzm42nJi5gj43qTQ4kaEb9cQ6Xt3pcT1RA/ASSK4fZ8v3PzvSCgJbIBC2f3NXFrxdguD5kkYTGL/9Vi2Xm3QHuX2XofUvU2YC1wD9W09d3Y4A+mEnAHjXBZ51z+/AkjnfMB9DhznKTjqY81lU+JKs5J05/5/F1cwX6DygHZhADJSDDq24ZctsKWuqiLO5La7iSYUkgvxn/OFaPfFQFthqXXJsNvudI7tj6dCH/YuDXD2zjb8LlAQegfaLVePkaj8EKvy8ZPGfjg7fLxpd2uF3LfJ+kkTK9LH3j+u/VdLlKZrxDEehDP+K8S8n7XjZDUtWOjUG3Hxk8SzbakLfYVgGHwpp0Ung9aPKgEo1bFfpZswVy/OCkzH6ds13TAT61mLNcA2/aUFaHasctTEU8uGRLrMpBD679J+D2FY/Gb/TTMb5PpTNPZv4v5BxGB9tgs6tsP/zlVJYd0lB6GAGGFOilK6+AlRUr/l5hcwXmDqotTA2xX/3WjDkPi5q5fmFXQS5d6hEdSst2m9Hz+FgClqCv1ngV2z5qY/+UTuRbCj7Knjk8NHdNA/DO+fZPV47zN0GljXtANNOvFXXvMsB9apM30FBnFkk7tdU5DeBfbcDYaE5A11miyJ6iID8k/2PDs/CbvvHMrCQqZtZO81sedFlWKON197qTKmn0eNbve+A7fzdG/e1o2UEGOJfZ6FgXHNaIlMZPiQ48yc18ryIpq2FwQJ87gAv3tjeecesHYOcuZR3Jx2Ur+3RtA5LTsBPcnV/r9UXR7IGejHi0gGbgHS/0tWT7HxX7q5nRIEb7UTqk4na5pXFiGe/IXx3Cu3fAyAc8j0qybqsGvKsZWSBHz/nIHaY7n9AO/la9ekZKEc7R775EmOYF6BWuv0rG72n/10sdzSmVwGdI3056aEYUm/1YCZwSawUOjPIM9ioeZr99X6Zz4Mu6AH4T+/LM8MId2HeR9zpbPkHuDn/vbmzf/G4gKPnhoIfqXn6cQNWdI3Qm//P1Pmf94BCED+kIHB94KbWze8Zm2J8zV9HnlY96qZh3qMbZh3XqzdyzbNLsdZ8C+bAveXankL8B8/sTcF/gnQuwUDM3gLdB8gOxtqsjZHoF7XK82aBZ+1roVNIkgVx758yceWvg9DMBXfkmzd1LoJ0Sghk444sfws/snjjznG/IzPVL6kFTxpausvYHGpk5bOSjHvZhXcyVGmyGA+0q/fcB2sISQ7NjKHNxD5hsrZFCyVYVskp7lDcT4PiAHxV/9UnB/ooQ/F22kunzQTSBfZUw5SYS1m+FOLnVqIthR5iaEp/recHD4jUOYCro3Zzyo/Er+j2fEvKNb9kd+Ihf58uIhawI8PFyUK8+jiIvPh/UPTwA+yLOdpui3QcWa09C79lY5NxO8k1t0hfDHjcDj5iDPmiR+OfI+8rdRLBedbmDV+p8XtNof8gE6dmmOaj3MweR0wToX+8tH/gxnaSVWfisRrJJBholPOwI/bTZgE8MPgNwdDOPwGlodiUjCZS1z5kFeG5J2K3K+DL71EE+Reidos9NDt2aWeQhTM+7/f/3KYT7H5J27xX7cxVMfmS9FGXPYxZn63HrOOxv4G2QaXljm7mYDeBkSc1ZUfdVcnYlLuglG00QWwkFtczZYuHnbT09/zxETKyyQK9+2Dt2wx0Z0Ckbdw9e8M6ceZOwu9He3Jp3x1zL7lz4JRXpdo7Ke2lhiAX5LPNlBS4VkbG0laO+yr4jLNSrGkz/Mb4puzufNuQy9Pe1XiD7ugBydWXmpKSb/5bSJAYu+Q0c2lJAE0mPIM/+sbPRzHWRGXNS49PgNqJz8Nfi48hzCbMfZGoe3P17xQIHSkCMUPmDHT1lAr+0eVD1/MiHNSx7rbMheZMOEaLn2Rmgpg6SWzthn8UJOpu6U5pkbdi9A/eIIAak3HzgSbiTnDsVW/zUzAOzJUoDXEB+BhxK7+fiXw94UQpui6Kbj5AH680/KbbvgG8xEaOC9Oqj5rL89aRBiVAcnc6mTmjUggc6Aa5/ZALyJOoeFS3ddro46SAXwNCvepPm/Ns2mvR1jg3vlVfOykGT2W3fPZui9ICbiZb7OezxsOnR0cwPAE7HjG8tD5MTtRQ/WUuab0owZt9SgcK8Vw/jPyFirZsxfIA+xyfYQdSxX70wq5lnlDuNU1v7CXSprAaFmZV8m3pF4BUSMAi0yvwOP5saJgOugT09F6Ts+btiGIFOutRcdXVsemH8Z8skyR1+AJx0Ra/MPf8rL7v1c8+zYQEFSqSZT4qdhwv51PlvDk5W90nHt25jA4lTx9N1FD7IwO7A1x9i9Hap8zs/e1BWl8iQXPD7nshw74tR/ijtH9m4vLxnx9rysrwgBbNnzofHKqbBqUzvustn0CD0bPpQBuXWNrLyQbopulhCEw90e0QLzisqS+AXjzpQcc7nc1rwpbGUbMPdU7GEtxy/1suDeEOlkDfAu1n0yRN0atoYr7mwfAAPwGbmXDumK9WJ0dQU8jUF/pGnEf6oNDLeqP2ZJg85oVup8ZryZC7tLmb9b09XVEX/5gXw0pp9BjlA6dQraZLnKIm4tS8AxyvQ2WaOO0sdc25PCAkAn3oVZHzYlaMiJFKYcwKq/+/16Oy7PPq8G3+fc/C5S63V9GhjAhzkVdtDtXoCYt1qByEG8Sqd23ZmXiYL4w18szMbhzI4uAz2p3SWHXblChpByPd9xGj6yDf5Y9x3M8cz3pEHEmfPSvujmd9wRn6mRv26Q0TnyPRw8wd2OpSPOlegGU1fJKzXCrx/A76Qqa/91th4NrUhJze9l7ZfNlx2DPQTtfCBjHafR56dM/VeueSr7tMdFsC9ov2dOJ//NFG2ARaMyRsN/Afkvg20/Q+8rkPHfUfZfieLxsnNDLyQ+Gm4s6pRfWRTA9xwPpV9+KgCwP/48pACdNIgbRLKQY42qUKUZEYX/OutWA5NDKhv7Vzm6KS0JC5Nn3scWoB1dxz92Vg4PBt3zjgi6Mz96/l9/wM5TDDXhxyG77CCA+wx4G16EQOPyegJYklPOYjjQc/w/V93N781osryeljrErRdCXuVqo30dPvrnRz5dg7XICv8JeWKAB7+pINem3CPTlvi1IHx99MI4uVSUpLWoKlqttsB130zs7ZP7uzK6eWbettRsc8g3gLQqm90Ihj0ccC2rgI8e2tDzFLgr2bWjZnh2gT8iqkKqwDee8y2c5j8ALa9w5eOQF17uU7sZgrdkjerQnPJev+Wg4Z66WXA7C8SJ7GMdZ7TBPYEeTLKe9OHxCCnHh35UTo8IxYBTYadyu5KZauP0v67tSy05Ai5Anip2szZk4YdQI5c2HluQSwFn9dztHvd3di5jR4Z0F02JD3kLQs+c5/STrSoq3h8uNaRuWPGRRtpC/IP4L1+sF7GrPAFD/WVUn0ri+7nHHdm9uLN+BKTSB5F1DyplkHqotc5QNQw5JFw+TBzrepwAU4FsS8WIFQLS0396ES+TG1dM85aRfY7nSTLLQ/2g7L5CHlGYAu4/LucyCmP9hPwjwDW7qNlSQF5541sh1etI6/htZh78IibOcAzBlUMT9wjkj2XdzzshXK8WUK0AB+NeAEMeFzOgCnPVvxZ6ylbGSPfbFLLcQPm4cj0ZN2A/zZbxZipTz2RgL/OD53cMnPJ/zyxnT2l7sjRQR3kYIzd5MIhJwFn2KXA6TnwsipavrOC5MDRSunyNwph3Tj2DW+gNYuZMbe8V/AsQDeeS+f2pOivm/L5lb/GxsGnissE9gtj2lQ5S9A7PoN/t9SkVvhZCLyuKDdyImyepMAPGd5WZncb0cCJeh+LCPlnlPTSQiET3TMTtw1Pfm70AWyilybCOUKujA4eF8rD1mHN4y6VmmMSaXEWdl+PeILcZPpPemLuGwNUVgHiLUIl7z/vqXt4tn15N54DmP1ZgV+EMlLX3CHf56AxvUuvvuyniPY25OqpZcuoBvlONewTu3OIVsABFsTZWrJC0xphXts+vObgCAS5akIe+/Wu8hZqLW+U4piOS5XxZEiL+QbP/cKBo2TTv/6UY+P8ebTv++G4hY6I1TcGDixZwvLn3gHcrY7OutUB5pWZhR0kpkpjRxi+ZIBB3MW5DFFHIHkCTi5Ma8RDtquH7iRFEpbTfBXFjF93AaW1vIswNf00dhOjNzGuy5niA1DxJC3URx7PI8Tl0th8wZEqa3NPxXB5Du2J2gnNOBngv3km7Acz+n2TxoPoItHBozR85Ohf/9eQ6+whfhHBE8rCwEUuz4rxq/GXx45lahK/MPfPoDsc4OgHzBJzl/0F322p4sHGEX+DbLrimBfU2lst1SPwkBsWtvj1NRs+Hy9NBDlOE3s+5xwwKsK7tk+v6XCzKs7ubFhBB6q5cnlX2eRGBY6VmTPsdiONMMQbic6gp+SwWkf3suOQP2TReYRjW45/VsAVnrn/zmBPksPeHrpE9J0DMXcw54k09kcS41VtGnAEOLrzWxOCII8dKsEhnxCRb75gDtAVir/PZqa2JqgF3cgQuXNhfN1UcQLNefxXm7pMFGm3AU1VUnNHNlPFlmcVhg8Z+4WK1CUfkoUMK8Hjeisn7TDk26roSG4lufERScf1jvuOU+tyBW0Z8kJawIV7AqyMinWDPPyq1fcYcA9Te5AL74Ej9jSzKimzHqoPrcppLBbyK4E3OEedDTz6Dq9vfOBL4IQf5fbrm4P/15uajNhax5OzOKDLYe91fVsk2dHqXvxwUmzGqauv5/hyZRHEVL6PqPG4cHabtBYPB6APrNk52fKsIuSVY/NoA/1hOIcU3CuNn62Zo2ruc/V8p+8ml1uwKfGQTopQ9//riJjB84BQ7pBjqTvgsMYDrfNFMbh5D7p7S7ffGeTPPeghb24E+TD9oHxEgCnAhcY1pXbppOMfrxr0B3e7I+S3CjDxrY52j2z8N+fRoo6uQFs5ONwzavp64u7Mjc/qZno890axZmmEznm4L2kAXJd2A3bsPDUen8XFTRkChZDdS5ePGecR5Hm7ipLjafNvwBUdyGuvGpijFCt86L2Q4fIFGHTI7blPB1WpKJHpMM9MeEVaDF7VJ28l68Lqfb8I2OhtIO9n6pvbhQ5gQ8AeZ/y5LKDVqv+8LCvQ77Y563jVOjJHasCon7Zn93qQabqpd9BDPhOf1tFhVs2Sb+BxGQX8Ty0bOIh3Vi5ZiZ1oOc1vqdV5wEo2WDu7cbMNuKHxCXEk97fTht+a+F+duXsO1Zk5a6gYZ1j77xK4ZFWEDh5N3ZXMGvdiHa31AqzPlkxGaTQA35aXquAfGUuE8eEklJSNRjcVqA88ko965KnBDBXaLH3fv/aXe3RIcLJ0D5/ZYRSJloa7TP/2mI5NX14V7LVqxD+5xkzorvr1T3XNSZstmx5/nUPyIyEWpcvWTOxPqQVatdclaPQ7cdlVjoeXNvdKAZpia7as/2tBDFCJ/IBGwBJtfKsFlk2U4KMzf4lpDsvx8EyBB5Qje6amXg/+W0XLhnl3xJy8Za6/1Jbs2hH0eY9uNdvnsL/563xDItCwnLNzqFEJOcLch6UWcDLALeOVLri5+9p/V07C62F/rVACPDtJ4Pe+6q8FU5cc6Xh5Zn35aAZNK1jHvACt7eyLBnQx4Ogrf621Bpark5OyO3KyPj0OWHfc+Jfp5c+0LwS72LC/AuoctjSWD77pQU2HnSokBQz1Uju85mKe6HO5pGHiw7/9iMLX3PTYF5drq9PXfeUmJ2w1+V7SkQCwlDvghxw7ywh86Ss1ntq9L/KJu6nO1sxFa6NnkhlfHRvxdCNJW0g7cwDZo+VmdHRuqWtTJGXtQnyFxqNMv+pSmKSSQ3z6oFVt402f6w44/MzMjIgUsILaF0cx+w46SgOvF2zgD8n/Wnm0gK4FHarJJeX83oougeBJVI+9bENJbROURl2fAc7+914+6Iheuckz2/wMOOBDQR6jAs2wZyD/AP+wpXe09YFOeG0jVKmpszHiUcr9oxwem5nvxlm5Gq8EBrkZdGZ55khzyztXEXEgFl69SzOzzJ2+ephzD+PZxM3/zDwd0AZHy8xOVaTsO4uMzMpG8sjfl+1kp9dsk15DkwC44b0NO1SH2ALedpeFOjJnWSGvUGChsAb/tJ4EDk1yZ+nrLSlqyMvnUAoazWmF9Cro56OJ/dCca1Wg4MSgL3zScxWtdqsvsB7Lu9TzF7WSHuLHePifm0iPNXA4MexBySeH1O5evlgpLlRSwTITrr9BiaxMk6MY1pQZpkt9r6KfK3Ao4FfNJreO8FhrZUEuH/FJhMiv4zk7bZ825ylobyCNY9Lj59LDumYZJfLoqNcz7AQ8Gzlxntvhgw7EoqhZjf8zZYoIig1zgHwopzqG19jwETuPKxbsjou/gHfyeI4T4CFdr3j3QdAcpfn+xoJwB5riC2LJzkT5wo1Hw/Z+4yIOz/CYFeU1FQePOeqahkarJLEy8wFNXfnGtlYAbRGkM35q54gssE+B6+IL5FtSRTtPjcn5XCSAdypvxtACPDxW1v7feS+d1Lep+ypd3yu/llWNKBRFgoQwZ0Tkt96JF+gK72HmbcF39x5pzK9ppDlj+B34HHCFP04dkfdWrBzTzniiwt+Dti86V43/vPs+iOV9C4pmyKdfdXyxU2d+VBHqxahj2B8OFfNHFWhLxs2jsfSWOfshDwFnx8RPHeD0rnoyF91MHaMMzLwz5lLBPyhoKOVkVxb+qz3wM0tfqlGukPPvsC3OecHTyniOQ54isHaVDXHnSNCjpdt8/bFSUQIfQj844BdqapN6zkwP1gm0fK0v19KVb5h+Xn91+mjHoN1eZ5X2OWKm9qPHER7rrUt4gGPQEc98wpyFXUF6NAj9aR8tck1tYjj3zG3QRxBnkIPDNhgsGnDg9fJZWp6tJjP/SX411j49bfyNb68+39v1uB024LaWCvgGf3OiwuYKsCRjKMgG+5JzXMjw4ojI+z5aS5QPxk9MDif38lvDxN7/rGZOtLn3b9H869EkXR0SVz1Kx3gzJ69zNluAqgIeTnIXH4lNdpll5xxyXxvzb4ir2XQCNqE8NgGyBOQEDk9f2WRLLT7UTvOo3M5thgdoSJU2rPQEW+MzA1yFmCQ9s/MAvWr1S8LVgsPZb2JlzqBm4PUYT/xYxfxSO6EDKvgO/CvKC/xsaZeTCH21qOOlLddykvz3XpF1qBq6+Nc/cNi/VRvZWshlJe+8lpOXL9YMe0VCLqSge6b/ef2aqaLzSkTyDvzyXBvTQTODIU5Ak5BjJfAP8Bob66QD3f4tuYozK7ElPEdqDyvk0r4Wzcb6g6fCtUsn/KpZMncyKQ3tHR3Te0kBV2x5kBPgeYgvTCS56HGBHW3umCZcDPY5IAPorA70GlNbN+W93NpY2Zk1+/BZWYvMHPfZxg7PSgof9N85223XCmQ4eVa7gHWbjGs2c3hOlkTyjWyNq4byUbpzJgPgzJbxSNauAu7EYh+Y195qbCJBx04pT68VQ99phN/rGKRf9LgzzXey8F8+7SuONMoHEvGQf3OqSWPNQSPmNLfWJbO7Ucaw3kJHLFxMj2UJXM2jg4wqwG8Rf7oZe9hyuDmwp8U52kfEhWcvyi0tYE1sbOZc/PP8xFvX4WF3lTH6OlNlV5OvyxHBnu/gASayYuq7Ae2uEKAp76LMNT3tqMxHT0OMkDYiCUHSbbj6AsyeSeEvjbWM56CxITd9NOjfLD9aM2yJAsWnLXnDX/uiRn6Xav9Dhhhw1fuf14Hh7kJP2XBYmak1ZgvwP+txciCzuMkqAL+Pz+VMNunXCN0gc2wcdETLgJsVyasHHPIifpxDy1Psjwt4f2o4L6rQu2DgHifIW9Llpg8Jwd5CNOo05MVKTqD/RnStrFnI4O9dRRBTFjpg45EXalzq9Jm55CkdHckRveo3lpbCiliZBev6VEKa+5KrMP46AbmbPsl0Q3369ed5dEFTsN1OjbcdKTrMA5k24X5Mt897Hh2eeQw8L0Ku1OpUAgJyMYM+Ta905K97c8gJUqQ6QYB7GTazIii877jY2ahBtzeWtMl3HTQPZfFjbSVcseQoHeRkoF3zDR3oCJyYrcDbFh/D5+JMPmvQ3mzyEQWWqMZ/tanmLmOQceLUSEYKOFluzZKGXkWYtESA04r6FrbxD/DjlFvwXNxkawoylsA2mLXEjPLvKuQn0KxT/rV4bGL3o91YNFr6Jh4s7qh/M6zbuItp//dpesUM7vLiYNWOiutA36uo8+Gb+coiPbeQwDRZMGhVwRsXtF0C/GRuIjLKsVsgvSSAAzccdYN4v7nE6TAZUN+En69aEdBJ+owLDtxH6tTNQI1qWA+1UxSdqYNOxlemnjR8S3bPbBIyLW/t+21XDpow4BvSWb4qB/IB4xNgUtJMKKxGwH4bu1UhZ9Mb96oVATzlwLckjVYzq/FJqR+kPeBgmNy4NZu6+aSx5TdGGNV8uDO7NNrbIwhfq03+yABQxPSr/84629kN7Yy3TNqG+5gL4FvOP+xNic1W7KI37AC+IeDLYk5k3I1lMU9NzJ+Ar0Fu+hhFaJnZNnz0KIavZPxuQSs9sWVX1O5Mj+29srpDNnRRO/195pG65Vx9tOjf+bwuN/RdCnvN7STIh8MdD10oGTnmzn6sev6B2eWaIz9Wrh/mMXAx+usbcmucdaVDB/kTOIobeikHXfK+DzJLxarvnkrznkQzYRZ63adoWJucFcmu6Q93MSU5DkgPOvlp5sO0oKvMzEMydGYGA+R/fTlu+g2Qn59ASaVU5ZKtF2qlnhz5UZhZSi4/NE4SsV7+l//kywdGmrrmHHaHuXNJOd4Aw6zK0vdU4IzEKpCx78Dfs1/9G+EsD7EvbY5P1nyp3eTOJtxV7PMBOG8xa77m7PaU4QC8Q5Y5h/ew/75yim367aWZpR7qEm+cnhHPZJ9cWogPHs8B8JtHNqBFDgfIL6ufTvNPHvEvEc59HQMiO/hDve8zTv23DL77GXWg90lAg0+bfi23eiP3f9pB7PtKz8azVKRFd1ODDSDp20e702L0XBFqDvnog7HlqylwVXH8qBizgd8mR1sRM4u2Yt2l2sIr7J+libvJYGe++W887r4z99951BNy304Mc8JDIojp4Y66ElOcE8DqpvfPtEgyQDQM/CHIRGMx5B8qYJ3KmkfAOsAlyPWgSYHzgTZNLNgvOzl4m9D8QbTyGuDRL87GI29skCbAtXUV4pm/702NUGDqjrD1eKZfN4gR/l1bOKWcAA+YN+riQxqhSx7wmTrkxCg5l4O9K4VXVJN8sBh0KcVfKsC/9Qqv/SXNedxEovZ9/84KM5cEYnNUnHA/zkOt82F5E/2nA8xh5VqXdcCXc/jHTgv5A7ENscd3Apk5VZqB9nSlk5j0nsPrOW3AjSf3i9sswE1gXSxYT+AMzHu0kffBnPUBWoXko8pA3yZkyB5p3+0y7ncnO3wCF2OQ2wuG+K7U2moBR+mvn5T6yiD+TN0KaBTTmzdx4PAvDtCyZuMoc7BNGDYeEcFh1wglQZsAz0S0ETcv1XOHpwT4+/6STuUT+N8NtOEdPl9lZoGxGL53dHPayMyc95cqXN06SCim8isbX7Oeb8brMsP2fASctFt0eKoBh5B1kpwpCfrPklG6AlZOqkhsFXlrxS7PsiB3yNHv59BGLbx3qzmqhbya3gDg0KcM6C4JU5sL5tFx/6ojAo0KWBaoi5y6QY0raF/8aAoZSNgXrdAnFeoAnsmHivZzyodn7SRn6cLnYV7I3L9WafrHQDsBxuZ84hXr8QT8x0sDSRQl3zQkL4yCzxI+c+N1GPIwZwziH03lAJqOkS53bAIcdQccbde44aM1udQNV+Pldw7Sp+ktJqZnpvDv5bB7Ygd4mLnbYGiuQ4lUMcvUTuLX3Q22QadQAt95nnME7B1lHgWskOFuV6E5bgDDgBNCRgQciNYr4EACfDHOvvZTBRpDRBgZ/8Rq6nY832OyqS81Lt+ZwGPKrCu2/nmzfFEboVxzWzmr0TEHQROaR1iAxi65JRkXy5b98nRMa4gVLnBUOuRM4sbJR/xGR7IyLoffuWhh6Koi21REcmp5DxWtoJ33r5l3Ue3qNZtQnqKuOwIFUM6n14R2DvmcZBqlPAKNTjtt/O0g50IsehcZ2mdi5hBRv+RClidHbpnuGAuM963nQ75Nct4RUCFpC+v34hvc9ec6QiF8snvWo2PuqiOstRQR/1CDl505Do5uujs9928t70TLdsYvG/SV8hveWA0vr3WhHfW1T0C/XNnA58pG3/Lr5mHjmbB9/jurJEH3AXsBclDiSND6bZTuMs0FjXFFdPa/c8HI9BNKT8Sk47zrZdghGTbAFRESQ2rmS2x1nwDPWLECjQp6XGTOes0nvqTD8LpPoS3rHPi9IXUGl7rGg4EAZ/700ufeM/5dCsE+ZStkndnM4HinYr1Wjkdg32vYC5SH3odySCSm2au2w66iytTLnkAbxGRcIwLx8MopsE9MbfOJWdqrInRoxuQbMM7jw+EpwlWcbFiuGO0ghj9Kax9TM9OiAD0eYlAmkDsjm0r38pQBOpaOJ3ksvQr0Le0JEpH+yqP9/9fcsn3aDDczm24ADM2lkO8iX3LgoqDn5109WFeC9JcSD0+6fqUiJOue7fKAnDOnI2dOypR+7vJYjUcLOFJs/Dl8X3C9qwb1jrV8xbwnop2N+TwCz+zP+QK8I3TPxpNjLO/1hlLsXnaZe3goxKnQHU1REjIndeA79tSWp1RkFn7fl9LMRRTlXWjyzUzdvtX1KtCPHJ7p6+4GW2gADXVKxz3oHUTy7fA8x8A5GcfA1d/ODPflqLsmBD7h/Lk2VG1MdN+1PT/aUH2JCY9S+1sa2RZzf///01QTSBv4cb6/iWF93XGUoOJ0Hc9lNs2omfxTa85aRsPbZkE5/8r0PLQxwiU1M914WfflWlGcVLGp58WoMjMSKPLOgl+4s0a5Q7L6y8z3gf3c+z+q+HevNzQbWnKa2O3oPUFnOYDNZqb2LJm+ycA/CZ1MLOJOOfJHQ+UDUKFr+Ry3w6+P6DflXYGFgtzCVtp/Xo0PVmNqLzfgDwi7DXDIV20PhvgFrdVVQ8frgrNqtDdMuxX4DfDz5f1/9zCdC7nvwMSfZ0VJRUZ+yMVCmZmVHO4NH0RtuP60cTJzOwUdNUcQQ1llYdCw+uX10bN8eTs5XWBm1AmBbi3lA8RSB2xsp7ZsRwJ2P8f+CFqOVcLuCP00Ho/Vmc9vxPYXHOPceLVDzJ+l7nA7/nHaAn+b/vPU+K6y5FU/H2Ub5K8BsIV2CDhUAlyHpNQffr+/m5xaU61HgWsM2pPDHviRfmu4dvCkJHG1jx1ScorfGm3mRA0e/O5XBVjBgs8rYZ9uanUvX5Eb38hJxuQs3vc5eS4YdHtQu+GWi/XCNs4b3gHbm0PC9IMGoDLFCnwbsMScWU7qRAYC+limOWhwuvk2FUmXjvphOA3oKsvc//z3Xm/GDwHytMhsDRw9AY4LvM34XQk0i+i3tgxR9++zLpIVT2wFjfWgg5m7ohe5+bPi3aMZ9n0dGi+C5FFxksDnBx14eGZ2d+Tbv/kO9xrpiInlAfGU58DZhEgWPqiHeF/co+nnGXHP3xe/oWSQOhF1iD1ldwjWK+CgWdoIBbmptRjMbN1wR20+ZaaC/uvPhoF/gzJ+3Y3eU6bvwCVBLa9urn2fu3/hd+w3ouc+Mz407PY4WWoBFRHCXunooDMVdjfjJ9VYt7UNPUljMtEtSfBwsdm4v9NYfeF4uNY2ZlnvvzAKgW4/KMA/0HRcTIBFvLNonwLf4b16X+bSAZ7PZSkFu54D/XvOVnIF/MM/4Yl/qwn4hujuJVMrcLEnHtlVTX8hdvhPbfhr7L/4vIV1aKeUGc4XlPzyBK0acTTbdPQQdSwL9PX9uJl5XerrZHldJjrQ4/q9NLMVgu6ZTfobR/NRbgpXzwWWMbHYiBfjlZ/baKyCV5/Uckwt+JnAC0R2Bbn2g09kV7JOEjaDKl++QKtJ2As7FhNK4s9HRlHUMH5lgFXZ5l8yDRzPWk5VQDbgymU+kaC2uV+Lm1Pz0skd79XXxsmII/h7AXjvcjNjNUjeKeBBm4Me/dofS5aIHM2/fgHKbp4t8nE6ZTvmohy0XZUPM4J4v1aDTqqweTDLu4iQbRABFzzsH6mFXnz+yIDbpPkfpxHWA3TwvZqSew74dg4VrzQ6iILZDec//62Xn0M8wj76Er3C2UCSxlYfoFvuKSId29Bb9vxzxehwFcI+VqPpv315993uDDV3wCgbOPRbyck35EHQIPzCwv21YQdbTmiX2ZAbtf/BabPlLEFp4FPQkpGMCK2GFTQGv+Vs/5AuuoBGx5zZj8bFVatnwBby4mxXHCRngohMB8+qAMfIpu1y8tNcz1nJ+YrH3bPq5bNG0syX8Ey/cU39K+R50EQyP9mf61kgxiOkadx9kAJ1KgI9oc1sIXw6Awd66S8xqjVzCGV2EimeLDnkC9BcLmDQT8uTH7qhUznwsYr4AQvbUdbSU2HPqUZT1SMzI2g+usl31stBiPTeTspjRXIrN/7gukvNnNbX9yLczMACptXrMmOfawU5t41NT2ayqyzjacxp7vplvTWm5g4wipzTOFmJ3bmwd7yWyZm5/JlZnk17nNfRqoHTdBKBbigUJuzw0pXDCXKtippdBvn+aCU+tdCO9f4Di/0XBa5xZssIPHSR4+cdu8w9mRmLFI+gKeFZl5tihFNa7kAT0hyWOhW6x6P9rANpPEwqEuoXHh4rBxuv2VWYmYMTs+jGHthFceqmdl3MgGezbNlybXu2gRZ25Mjlr89qgEs5yvvxuZ9StwtYKJ12An78O5cLBUSogUfDSgV7xbyWQ1exaM/OoTlT4Bh+322LwTtuwMeYZpL7pLI7nHN9bQs55ogXjJZurZs7YMusNvXkDv7hwr4K7UvAR4tFpUWmg2u8XXihXrhBsLP2OGYu1djLXHktKXdEgYIza7w84m/w711LfdCA8+1caC1RZlVffyC3+j597o/Z9NsX5qvwAnlHsjNbv2q2r2Ctr3wgRNn+83V+eHQ5b2kC/zPnFNiWgy7qibwDN9S5k7oS3rdkyFGjuXNJn3gwvjBqOnP9TN1kypmp37KuuanRczoK+mbOYW8Crt5UlMRn9K8XxsWxzlJryVTEfdAzK7eHHXDRj9QtLRyhqR7lIR92u5NDkoqrW2Vm3QTS+GXn9WhfUoE+JMM5pahqesUBfFE2kgz4E+h4P6pNtcH/3isrXfRV9o2b96CDbf2GvxbjFyI5kkHKFt/MWarHzufAxUH7/zevCJ/b8eYo1D1P1tqZZ1o+lx9p+0fQ7TgdklyIecknZNy0/3uv2wb5K2SwD1InsdpIVbDXUeMO97qXBcTjA3KKTTjhEnIa8AfjuwI8SqV50O3OQu84092Zo4XqOZL2YeWuvgKunOF7lxTNLLM/X/dfaRqTHeD6CJ/5KIb5kUZ611ikryZ8bIYkTDlPIVdFZiYmC72oHoet1SpPCxk3oYQ9xqOcokMrgGtMnSgd+5zpAWJU3eG/jf57nQMUmQAmRNWFOXvg0MoCbfklWHlvKeA30ocmIOm5OLjSWWYxhI82UBa3EP/fXRkfaZDcQYd+4xglVdS4abgf8QicfUt2gB3G5/PlK7JWlrzU4eHebKHDCpnKMSnxFgJn8JPM0X7q4CIbkt7MO88Bv8p+cAAXFohd2v7O4fU205/067MzoVvjzoIx6w4aP5KumVr6rwf80fCL02jQUrY5ZDJzmfbfbcgT1ssN+FrSGB80pGYqeAC6xPR4hcSSwIJBHdgygb34wQ32OwtNe/lbiyVGYKgB8H3OQcu8eh6XpBn3s5kFz5AflSLcyIYmHPj6aPv9GXW0joannNRb6eofiBu/crsQOIepTwANq+6i0BNw4o5M8pRvmZMXOGrQTNK4mzkdPFG8/ByWtLKZAzET85G85bob2gmvLFy+ZXy4tgx4j3OzjOamkWeDBr02IXxF0U3EAf467lkb2RNneCZMkSbqLuZeh1JCxEAuhO0v8v85m5kFQLNhOTCTkxmmJALss5J7FcqkjtQls/17E+1vNVM+aFguR3XLrDmHPHIUcfkQVPrK/nuFHJGZXrZc4FsTqaUWnxbgXa/G5VWLBdoAP5X239pCv7X94FHt99yBZ1QQyHfq+2jLtAIOj6d0Bb6jG9PDgSQCPrhrNj4cTa09OjzyUKVHu3u0w+eVm3ntbueyKBFMo1f+OtHp71VaO+C/wNsD8uD07wM4rfHpKmsHqDQtH/nWnSqOUzw168mxr5XtD0STHtTTT11oc191woU6cMejNLLMvNI8d0lx5oDj+l9vxe+ZD47lAcN6KOOr/357QDxVp814KeKoYjav+HxKi8Zqi8yRcdef42wTzPuo2boztQuqZ/dqRFMTkYmhwxPwy8uthTe/HsnkpYkYFt7MA70prbbKDe9qakxvyRPrg23ms9aiW8uCn/j4WI/OUpTuHIiJv1VI7pgN/MUyc9y1FqHKz5F84M14hPOvVHfmPuZG2Fq9OJsKb9fMeKAFnIBuqrJx6fPQzOJJvo42Z2mEDxJ1wOk/veZ9eSfxxZx/nrKi27WwL4F3VXXMizPVVhMnjFCdnd/3H+YevX3/c20E+a/24PaA3Na14/5HUuZK18wi8E3N1VsTqA9hfIGHNVRbl9XAEYFs/eQb+Uk345VEitrMq0HaOJrHylpZrYcHFSvj8QUipnSAH7yZWuT/nuHZ9EXhLYF87LsM8WMb/H20I/84uoocYY9j29QGybKcZNaEOMPu4cpp6p5puZ6LC3AFPshJLiwur5n2y3zE303AbBLyuJzQKf3Xk7WsuaU5GezH0eHS+CrTghMSJxFjt13qZmY26ChjvDTw12bGEmh+D0emZkm+i3GN0rHbUhclqaVsCXTUePUQyIXV5hdi8r2Tm+DX9zq64bMxvgIF/+DheuROUmaDRK3Gt9TFoD7QgQ7zHfS8LoGjQ47TeYwqwNoTfKaPemg8NpQrMV4T1D8qZz1ArExVYWYmzzNwsdeckTtH3MoD/ZMO+9n0+1IrySkngoEIg5yanLbUO9kctKmZsdFl8LMcdJZmjOSQA36aYblXfQq4MXslPHMyZg/OFkRs8lAbKKo4eeF8XA2/tQvGl9Khm05aUdrpL8Yqo/G+KrFMOShcyKmh1OTevO9v55iXNJ5xO9iYBBlg+RpzS/6wYo6qSV8zG8GeVTPovKnW/us86q0aGOh6m+Th59YOIeRkjVk8P8U0D+d8uVOnexLQqsyRLsuXrS4SkgoCGVY/yGjmTnKgjnKugBNz+9M7R5grk8NBF6YifILO3153bS3CRZ4vF+ARYT3yhDtrqoSea01SovmuGZMTfGYpps7DnJQ0N3OvCexx9lQicwHT7lVxuZbTXFH0104nWdThXNWhljxEOAMu84+zOSlwZzxW0+9cd96IlVPU2Sdr/8CgqUCzR8DDgA9iAdz6K9M84huGGJ87GnYOteWl1HgubVmehSQY6UkIb8XR2mdDs2Ucv2KD1KDDa5ZtLL5Y2GYunuRTCtARdvdf/Q1/F7H2gBvaZpb2OSBhHZO3BiHI3SjDjob38ee6J4QN3dtpIw/Sh24+4WfaI1G62b9zG9BRnqTomebLo9Z/7bPwutTMCIzkoRH8kg5cKoTe02F+B210lsZP2+bGl5oyrlgb4jSf1A3ww2MWxEq4mJ6HHjD9nNq6V9vfl3YIBdtbwMdzxfFbtn3Cjr15pdAxrP0l1RL07hI09l/4nJ8PFuBrWuBRMuQ1XE9N6BHKkQ8PHQMPDUG3A89BEZ7mJeszyD3ck876yl9n2ANJEybvtcWvbUgQaO9T7aIOchRtQ50D58lZoQ8yRFteZFYd3exmkKejQ9aj29lpPBPIaREf5igDrgFabxSBqdGBnCHW93aaX7XfoHusx2njF85B2zDuSqoeoGjmM+Ie3RSqIUfyYalIQFjmmPlx64O7yHhUSTxaV9DUCQXcyOOD8eSG56dMHRIF1HiCIjxDDnn5A7xDVFzPseF+e58Fcpdb3gOH+6rtcdoGyXdpde/A5e7GG7M2vsyTqhqdOOW4uFXR3dNAdbnF79z1XRkw5xz83Vquuhawup20h935xTe8qjD6cy7KkQQcOG7V+6c6DldRzF6zHXa1+/cBnFFjjjxi7S3lLFc6oQJ0+wD5fyudfVFH1lppVWI043OBbfy+iNydz+0wX8tt+OeLlcedJjpduW7cegK8fd8XOeAdDeSzpsyp4RGV7uCKnhcNSl3m4Fvl6Os5XGUpVlD1aDNcv3SbZ6mTquwT0GJ7ENFoFQO+50K/+s2B76FHYx0eLNI05/D68XxowubO++Zeh3/uwng1D8jJhcxzhJMc8sIRYlt+7e/ZlD3buHFkqOdqNPPThw34EXA5U0uQcODOHyxkr74bBw8LaAYSUzOHIsY9C5qd5PwE8fwt2OpAXlhb2qWczTINZ09GB4eIDnN4DQa6jlEyMlMvbcmstj7X1P680yC8S+FNjH660v7HsafMwX77tT+bPqScJ70c1mvLZ8TQ33vLIa8Kbp9D70jDh9HiD8CNt5qTUEw6qi07rf6PqWvbblRXtr/ExWS0H9sxAmNLDkIX0BsgRggITGxiY77+lLK3e5+HNcZaqzsxllQ15xRVNWMBz0f2TNpn2bhaTLMQIjx5oK1zyFE9etVixUdXHzBo/9RrgUNCrDnFCuuzr8bkdPSLzWmtffK0PZjO8+TiJyioA7Pv+dzkg400STtD4TxZLokKiTawfzlesZ2t90FHWy8oXu+kvNNKnKKzc68+QXNxD/jaRQOPAJ2wZrBOkKt+AKffaT+zckgOlRBfhWeK1CQOkZdnDZwX88NaZTNmnKbpIALhXh6q40ENSZz4l9eMoKvObY3O7mZrQeq+uBZSGAKoWvXA4fvJZx0pgcO5RYdmlQus+B+nzHcBcPejAu4P+lrJWPWgzRDf785Zp0dsYM/H3Rto4LUw9b/cy5Cyvo4X0NwsW0WRgZ4E3uoz9+8d2zlFHpwFd5eCwvaAffykznbQ+90EGqyt5J9n5oIm9PX4Owva3gHwJa/92oc8/FbGn45yk//N30A7i+WB9sl32hce4M531mtCOuCEdn60UCGcjbWMTa5z61Vw2Jwc+ibj5Ia9y0KefzzegXb1ZuA4wHulQrIzl4rPU+Ua+Inldae36MhZiZvc7Xw2iJ+HyOHcoxZYScJAB6GTS0rA1pPiM+TxtlPj9Kjj6UcDf1Tsc1O45gs7j6UZHA/ieIdRsi+M2bNQYOKmwFVf8w9vzhmRI/Bi61tQaqZB40AOe59Bb0/fzZDQaoScLSbWwBkrvcOq3WRNO20x2dGhyuxcNJZtre8e4DH95q7xsqi+82H5SSXw7EG98ob1Mp1Adzigw2HVp19Pm3rVDDToB4tMUvkCl9mcNbmQlQvcyktd6zFV7ncunCnM7Rxr65fLdr0eEoadAHhZbz1jvv77Z6/5GyvNdQA87x3yatf0YoKMw3RMett7CPpmo/skAH5vvT33GrRq5s1Zuu5WO7uudtFOR+qNuJN/FjRI5SIZSzbAa07WrbtY/3pljOSrfgNy0FD1jyA1v71N1rPwG3RdW++RqfZJyod2sPVFCvIz9fW1lJMsET2mEvmQy7kKkxuwqQR+J+SB6UOH7klks5TC3gMHX2J9zdW3fTdK4pwOEmnrpVzaNSjXz5VB9i+GjeUf/6u9t/NaLJfzw1V4iss+uGKEJiHIWiMR497WxydSSE3YuPvQY+iJbPua29NBvH1bj/TSC1acm4mH+sZy4hU9dWt3upDusBER+WkkibS7Azw2oEWp7TFEgPnvqVMHZNiG2jVx3ZM9lzcfg/JXA3qepV5AP7zeITo1//ThDN0ygIkCnqMR7Zdkes1kgmvIR9wDjumBHoWcRPksiGPawlH+aS0WYu/6kbIzLCDf1y7s4wZ0wLlwxa0xyMmMndk5vXphonpYVpIfIPf2Xs1hDyJifWMOzEyz7sj5LJdVR6YsXUXqPSGZpw0BfsdtTYU0V8CVI+/dBPLTBw4fDhPt9xlykdrrQq0tB57wuj88FB46NkinVJgfwOcNnIU5+50XOO2Ip08M+CkLyUSN2lS5ckUfCIjVoPKmUYfoHaT7KYt0R7mOCnG5SrlsWPS4krFNC6vDIvLPj976Yx2dZNZ8uepwvlUR9ut9u9F8jiCmfzSnbvEFunolP3osnGLYunTs3WKlZ+08VsgBDLh8Xz3nd95flnJt99WwPTV50pVCRcX/7lLsjIWoZsTPwmJhbguaeMuaGGWpwR4PD57gbqwMfygvsD5zPgWdVyH8AP7s4XzqCqNWPHAH8PWhZTIfXfqmhH4rRuD6Vq8x88q9JynUhTqE2YmZv75n6w6weRumHGWAf3Fp3/iO4lnzGSuvvZW9ncu/zZtcfeDR/OhBAEU3MXDDLBXTWECuSh3gT6wtQTu25bB95Si3ioFHg36DNdzZeyjO3USGW3lykytdwxX0c6H2ygf+1Qmx47DvSqKDDzFSKNuzI+ixXIVPBqoyb/tB9kKJeHo7R2bK+NaF2PnfTPhcx8D1P0pD9vAzg+bmSpCmECsbyD9f1eDi2iE3OAvneiBe2ZHwHCvQn61/jgoXzuhG5oZyz7RYAm+JE7+OuGt/LwNqmPLDq6Z9pzxzAOVHUvHbT/QEbuid32+gX8nXyZt6wCefReiGI/eistu1iYrNOQYuOCw57tsZO27Lu9+7I9CidFO606HgtasZaM9o2hX+vzo9X8aHZ+n3CxctAq69Akd6OzlzhIfpArwUOOhf4M7/xe3OgC7YdcSl9l7vmPV0zwxwapn4yqArj1ErnGkq16RnTuDTr+13Gb48x28PBRh08sWhGgrn5JvU+mkqc3AgF9y1T6O604te0ZMivhIeENDlwC7cG93vfNB6RDLCJULncwxcwUmujaRpCWq1ik0M+sYD3H3Nq/QJVwy0xYyB32WRAOzi9k4u1k5S8nApiyF5s34RZDwsRT/32tW+RKIAnIdMBZnYA+3QEwJxvNZMuVmILs1IwtRyy/CPp/vldc92SM3uO8unSTER8U6fyboLldFTE6qJiN1H7ZsV8GimoyKQT7vSGOAx27AeNJN2TnScIOGDPor4XULOPnnBuej0BTO1kQN91+70qoNlsM6+lugBnPebZNuIhHipe1sL3uZ8/zewHtraRZ0aSMojl8uuCM4hOpPBHRUyRb1+3s/R1FaRTsXajk20HAvnj184WymNlmX0r7YnFg4oeLlttWxnKZDRgJeZIaGy87nlgsoYmLBj9sDPL6TXl8rtrQcoFWLybe1rZQ7XkqGMchOlvfDhnBxovHur8japhqQAbv+qPbjxEa/FEISVb1AVbn+aITge1x3BnZHAzd4xaI0U9rORmwDWcQb8tfPaXYHEUvjts/LaZzrQt5JPjyqnffG1zWHt72QMr8w73Hl4eellyF/JG/6aac3TDefLhfMbxA4616G+ywHwkKkD5ElcOqBzOuplA+jAPeolSt4ydzrSTj1qo1yIY2XfIWjA0sxpiRxuD+BKJIuSVz8s6O5dwg1ZqjA5Zq66nGXvn0P4PK7KQl6CCnJpYWvTIK/D+U5SB9mzsSsGPRWdKXGYnFKXZnrPH5l0L9nXfKxk0pcx8SEruw1Cr3obduZJXr3PJUGJzyOanbw/sH/kmfpEwdnHdg3Ec97JEDKw39s5m44AKl0w4ONicgmfb9avnvj9VUTzETj6d+VMPHUCggd0xSF98Q2k9y18LzTR4Y8jQogTPm+Yc1nhu06VFJD7NWtC7gD+Wt+Fibm7I+QM1eSmFBLylOceRBigCn2uMt/dREdO9n0WzrYsdc0t7cNXTXtCfXQ6rqJloMe5CZ+ZaCEZzfc6pi2we+vBehBMkNLp18z8DaxP+8khpO6nDDBXUdfwdNzBjgnAZXMpvaVQhn7YWgEMMdNI/aoV2YgRcBTyc2lqq+WPxBOLWnf7Eokz8MBLzUOvGOiKx8TVg/lIWQFnJ/locrLaukDlzIYwI+zszMzpn2WXCOt3g/PkfN6bN+Wb1xquyiUX4U3X1C/uTQhnzKixtrNuZSvY1+xKPp1Ayya2B1NycwFuTCj7fOBQHGuur+mwNXqk36mfqAo+K/XsPG5VUJ5IOwcP8ubtHwfgt2sG8Vu6NMErugi3NUr8XTCfJikdj4FaIDnKJWrdQuysQ6wADQI6rX0v/PRZ+buiHNpL6bc/J9Ar3CdwbFBAo83dzpJt4vqVo4Y6vtwxMythO+B6O9CMamD9ssl8gnUEbCYH5MxVVsPaqJBeSzdB2QjnABFUeIso3N274ETq1XpoLJ4e9A/kqh+RX55YBgFfzUtXxvD3b1qon0yYsnCWW5ajiEfC9vA8K+6izJlzHYW252/CMcWA/0/Qridm74kcwLN+OcreeRbZH1DeWyxcc4dzqRquJfCcIuv+9RNZv+mCO9uZ9xQx9mlxglC5xJn8DASwccwXWXhTy9bimsXihIX4JivyKiaAowZHO1elBnVb9BuPjBPoPXJ+zX/QIzpSZ3nVA5zKQaeVLB66VycBGJ0yar1zCuDSwBcXRlxs/ZBTzpIrcOFNBXqq3JM0BcyFMyPKkGYSmXsx4qBhxjSRSs/v83fdFU82aJXxRL2w0tYknVF4h7zx29+aAeeCnO4QXxQ0andVdgvOIlEiFBtbF3xyp6+qt559gFnMPv/0rGPyxn0Kz2b4mR+sh/m3HJJj0U8T/NwrvmLQpj+w9y5Buw9ikhNekwC0yAPw6lFFQhL3sGTv81fpm5LvPzfAke7ABRYsQ1evdKhcUlC5PVXP7ViuwNz4FBbczsHnQb22A+noC78ecg+cfY/vROArxLFXAFdQgII80h9snz75IChopJ9MqpSMSVqLgy/41qeMHlVMv0GT4tIH/R/2GxwGb3yc7E3PBXJ8CNwFcD35n49qhJ4No7Yn9FEhYepQKW7r/YeAYmFI7W1sfdFQysXDZio41wJ0l/UvTaiLXdV/PjkyfekESPYPr+yTvjbTicRTmP5+1uF1zxZQlORsmJ0yCp2qV4sIlw3h9C1D5gZn6aeQ7Xctpm/1nMcG9FiW2bu5yQC/2tWA11nUBqWDTsJxN6BIRMbNN/BFVz/nIRuWY/m/OUtx+mV7VKz/7J8rdVGgpHJSCSDfB3sh5xse0oVGnw/Yy4Odr2F7Wn/nkHmABcC9qQzcZhRj6f59MN46sEaLcPBVMrMjAwb+8D9PLjYIVwJXE9avfd0djt4UiZCacmzf1aAvDTKUit0e9DnkOAGa6hBUfQo62n1QyCEcNGH2tf1JR+zUQ7HCsndkVEcdoRxDTssi/MIUXu3NkO1Bf6x2dq/4Ibm4Am8LQNdEZU8HMl48aj4d6hSBHKfJzjqAOPd5vz03OYLfO50zdngKO0NpNJHIVQf7XWDrh4XSJwEu/epBKPqbW3vYhzwwAhZw4BBztUdrnc0G8tpSO5/XxtbSO+Je9eKngvhRxt4nJFmJ/i4Vb3HaJ/befiN4cDlH7qqf27YW+Fn1CW2k+7qfz6hsRzJ8engMn/CzVzWSpY7Q/Zxtd2fQQ9rOKbYzd532R3H+TDuIjCFYqdfeuedeIH8QHIM035tT3X8GmY8m2Qs7F+sCqcH2hbzuYEPa7RgbTNFEZi/QZL3kmBjaNy6TXYMUZdEfl4fEYWj3hLz4XgOPrL1lsP10ZG9uldBZ8zX/pwYnx0/FpyJl5sPOC6L95kHGf1gZ//6s4/alJC1DSZxB9i1DA+sjYutnwEOAXFtLxnpHAFb+zkgekyNo9Pcy4psyag1gxQ+o2z18LuTxGchZchX9RJhDDB3+9Tso0N5LtQLv+rr5dgZWusKmcTVBToc4V3HttRuJtMJOstPycNc5vYlVnSv3sFLQ4TQ/uGz4nfH1BfozrGPBQG1S7h/cwpt90N6vz7qmzrwyT0y1nPZZOLfAN4810xsRc7+2TiHvEH+rhu+ppeyDE3XoFxuTUiMRaLcOiDi4KQ+st47ALm31kIxqmOd0CIrK9mrxfz2Pcdq1GXAGWvaA7ahwMGsfkiU7yZOfyltyZnu5IyobbmvJnAdorR5if9Gm2NTu5cpgIwtOH3wN3dQL3WpUAp7yCfi9q0Z7j6hedQ6LBp4Dv/OY+dMGVAScufZEOvwoHPTNB8DPgSCcC0W6/km81GXOEpVMTFVuhmq8uA3gpdqjPeRd2vTB0uwJBq6wocLOubN+15dXLL/X3P0GrsrwaLl6MAA+/RSgG623K7P3viuNhRQhD3UrPF2mPn6mKwUcDAjbJ+/2vb7VpMILSibptQauC7mzL0DjQB4PAOdeNTAD2dPn0TcF6PcUztgMaz1BThOArUXDtwVFE7Yz/2vAdMi9wdHlQTMk+LynOPPctjDtIIbNcha7lhpk51dc8do/a5lcTm5i0hy93sO+g8ZPgCsr3rXW/63XofoGbpvx0RxqIc7nvD1Re4/Wuyy13l5d2wGHuhTCzhZRmch3C4/bC+vaBPtJApgB8Ug/uJhiO4tfR+Klv4r/1k87pUl8yVLbC2ZnSNpZjwFoDcXtO11XrY1dawe72Js70EgJZeGjzKeb7hJWP/9smCFCD0idnAX2dP4ohz8eaALbo/iap/dhZxWIvP2AWGG2nhrO7o7n7S7j6EiAy8MePOB5fC1aD3KBnZ2PT746n57b9Rza2lUdEJ+6p5UDd2y9ckVh7W0PoPUJYPajBM7+OoeAx4WM/qyNvPgniCbQWk/AqIBFtGzG3Zfi9AR5J+bP7QDYcoCn3zdSiJIvG70q4KxqOHp27nNya4ZPX+8P/sn96/DosPKov2bAwV61qSycd6XTopMT3rPe4kUAgaaysjuszWjrQighwGnSQaR4DRfsiC4FvQFnx8ORSjBHpOlwcJbBLu0OTiODpIovz8xbVtBsj5Kj16zFa2XCx5m3aZXvWubNFBs1ZwNoD0k/Spd8kRUvdAQuLG1ubL+Brz2JQ29K7Poa4qhaxUZ26gvi5lQPy/vJ4fcMdEsxuD8s1Ers/82pINZvxs6DpR7KATcn0FSHaoCNHslFeYlX+0rWDNmazY3uKUnzi62jWeFZjK1TPu8RVgMdf7VfP81HYFmgHd/qaFaNnU2KDi/t8Pu+vxzrKzEiLKU4ZgZysfO4nrxNcHr+uetB/c7JyaLiDhrlXfWTW4XTFcvPFc7apunIxs67E+G8KQb1gR29J7+zMKbbae3tLJrXOfQqQ7KCfz54nLRwjk5i2OalK3qMUEk5eQIHzRVfntaDAf+uYRocvUAcn/NHymmoh8OCI3u/olccmnfIAzs7R5Xb+cxMfZd7/fImuFrfApLNX2xwHk0YcMxbJcN5j50txXv4OQP5AXJK3S+TGg7PEtaGOvqdROJYjn+BvS4m88imGbYL8xJzcoKhGtpvsf8EfT/dszD8N/eb+2ihLL1XPmSHYetlYSKqVdvZIR/aM7bvBrPQWdlgfW7FpR6CUri6rMzFrWQy437jKjHdaie46xi4DMR9FS20Fom09b1HUEov7QB66qHC7aaOJwb6qsxG0ASxcTPrdeYl9v15iF0TZDEobq/lgocP0JWXzFZnhqQUoEmaHp2VnQEt3RH4x6Z2LCLoAUeHoOz/9SD8924EFK7Xe3JwbzibSxVbPRc+ZY+fsDfP1KEbOPNXhqaHMPgpXHhenxbCa79A/zp1ZG5SENYwYvVSnvZLXLnJkvWHRzYm/2Y6AZ97ZmG9yhjtrNcuGycl+eeqovR+9HcO8EGHRUkLmOOUA17ZqN8g945CwjPG6ARn8mR7EWtX23m11t/pIfr5jk2bCT4/dPgPv36oj1ayb3NqfbcjONudpsIja71HP5lzc8WapBqZNwZrJmWbnxzQqC56Fsb2aIkL5nYeV7gC9zuU8hFQTlEFfKDoQGB506Cc6XU//4a5s1QSKS71Uo67d+IcAsClNPXbQrBP2y95hX/eOSgG5asPmaOpRqDlesuVlg12pknzg1d5ZhTP7VN5C5Eo2f/OheTtWY67173otR5Dx86iYmz3AEna0ly8Z3YWlUD3ptOOjOur3CeuxcEM1UG5mq8q2hZ1R77PCFlP1WPlTqy2GOhtS4gnrwHOqfNp1FzRanzNuZ1dnFNHRs4qB/OtedLyHjgI8Bgh2+wsVCe5oKBbIuySb40gRnORVEbfqTGOsvemqwG+CvntfRuqTgWAF/dKkr3KL0vZmQkL/dJ618LTm1r8tXOS+hpyqo55AP/2EHvqEf4ArU9KLhRrRvKjJPAck9xSOweQ1YuMlrPi6gv2cpeOSKRM4GpIDN2jN9Cmh0rQ85n1//gh8RyXeQefrMScfONXoGHPsA5ZTxLiBaiQfzaVfNwh7gAnrV+5geVtw3M2/8i4v4q4TXmkhOAPH/jeqL62T74XX5WfeKCbUuUeXvGVCgGMMgxgbWfQxEtnPeGlnId6RUdgGZ6AjK4kipi3DXC0sEwYyAeLKD0nKL15JW57JP3WJ11xrVcN3Hu7EKY5cJZ9Iahf9POrnu1ZDa5985KUvYaYIPB3lFew1lH9AnkIP1gP3Do/eOkwFZD37vBshxLxZxbTtulbO1vtBrqoaEJ3gRimhWd2vFffcGoBS1vA8MdLf71Ty/tg/wHekuJri/mvZhIh9tseviNRcv4qDTCH53ZvPRFBF91Pa9unQ2t7Pj/kHnusRx3fG+BksEdOO+nVPE/OzW/29Cdj6DXndtRh+6SsfWP+BLqnfzJpMsqSvkHTMRvwpvCJTLnImECycG5r+duDkERlpA1o6wF+36UJccC6v3fIUT4TO0mi2smkQMohO+DPr1k6WerrHI/TO/A6v3Zb/KuFI1fCdzA6KjbE2QIXNm8VQ8CHtz98v3MBPb9LI3DGWtAUE+iJw1Kj9geycflbgy1JogblKbMbmM9f2vwJOBrU+9Ste+6IAV2OjnrHfe+CHrtiOEMK0ahmxRW48cN6t9de0GvIsbJvAcOCDjTZN2BAB9jfwT5fQYM63BWZ3n/euTPFlD9eZ/69gNguufaAc3nUn35OK77/zmR1d6keTU84aB9PQHa2NZeTohE1fEBLYWd/DDe38iHB70VRR0mYApcFrYZUZw7ciFbnyqmH18y0OaCgGbQRMxHtqcjpU3bou9mnQdO1q3aSc+lt53pVTgXcG87vja0kzQZdgh7Ma58vmC+kNspjErAq2iL4hzOIAOAbXoasX6N6vYedIY8HcNbfWNxvbN+NnScGsQ58z3kob2bVQFP2/udeZduIOsap+sIFbS+BX11T09taXyXft4L3dFSOMek4wZmeLipOF+rv3qmnXlz0BziS7em1XuJI+zrFnluA9ogL0e4rkG8cpW4xLAT0fXLmD09H24/zvk1svRTES4w7Azmnd848uROPO2dk3R6Mq8ynXwzbL7zW/+6jQCPajsoTQUl+9EEAhdsDjYKD3iffAjiM8kjJ3L8bwXZj+b4FXuZsfnuaTfsGHPSjXomtv76zX+/EhGAz/cgxuYBuC4B/p6p3/3m2npnJs949Hr1EiD61tXJ2lu23QH/vWNBbHYkCvvtPA7zwuPZ34KgfkP/OIkpw4Ql68unUDO2mMEkH2O5Unjjwwb7XJk8aFi7Ntq+7ypbI6QNynctiEmhf4LoPH7VH2FkuuTAaPotCOiyeGoHOBxyp1sQlgE8QXzLzdxG1uBJRLvdA+CK80rx9K/yJsJ5SPMyilv++lxSuuFI5H7JeYB4l7xqeQ3GzURF+0GgG7Dw4dN/6hTG3VBZPkouWRIvDV+3xbLuUA5L/ndf76z0gs20sY2pSyOWE7Vbe9y+O7evQzlGbUOmYkUboWTp0bobpXvuftsbmm9m6j7gVSmqPGJ2pNX2yzpwhv6fZSPzaKRbiAD8a9Ecda+e0htbnbrX3U5UROUTb694GcCm5yMgsYnCP1gcccsWjCtvT79oy6nB/esPuBOcJ0bTbpfbuGU531wwoBu36DvG2YY65wdr8lHvzQ0W4gVQe8N4cq9CgLFevfiIqmcngc2I89H7qTj2WAdbSfQOcCDOuLtifjrBHI2g8DLzfg9hCgiffgE1uxZM1ix53taeHOtt2VWe+MN8805yAXt+21EkQ7PFrruMe+IvLPeSk3CiIx4X7RjXD4hWge4krDnKgDIeTwp1qyzi5lzLIuIQ0A3pR9uikuclK79PTrID4ITHdi0fBAw8Pwcyef564S8Z/NUt5UsJ5Lqs96io39dNOz4U3zdaTXo6gA0U7awk8wbT71FvsTEX7zuodixbVkOPhd9k63bmWeENHkZHIXUAb3ZVMHTakjzP6N39jo50/kGdmYBh8se+Zaw6nYI/gmQsPx8Bh9uFTGLFTHnDNyPaOtoPwzSwYD0DPCO65t0LWzypCi5DAi/2dDzmLnKPD5uSpTdGrV+79YlK91279sPW1BUsw6Jgv7Se4dsmtYMrhnvrSfQt6PYXnJ53oksLeIzDA5ia2c6SVV/m1x0Wyw1/bAnMd0CHdHN22Ay60yf43N3UA7fgsOjFD7rlyO18xLzZYFPczV8PZ3t9wYqx+gDWB833bACaOaqSHRqSPo4ceZWh7MKekiaa2kDMVIw+A451Tb/5O+zkDnH/h8psapql63oAHJl8FI85ZGmAXLi6Z+Zbw3/WgkqKvgZuZvDEtq/dkZTHt0lH9QC6xc1Uv1Puz8hXwJzQSS1LUrvUqnMKsn0417O9/P2uShiwn9+ICR36exRRBXhNNSN6sTyDwm3Phfi7WzwE0DtXh9Osfk/Ek5721ylWhCMUR8BdWF9+raP46eS4r8t3M/cOVeoWLnX++t7uChQvEMxHARxoefCtn8U8eD0Cbe/bdWe1SoZkKSw77JY3IhgV4opvVvjE87t3CBxrqmYJ5wTfgplsbnZYCP0S8+wL9s5P8X33UXvYmayLy1XB6AO3VNZGJtacO5fh5rUb7JkcgyHOOGnVO+dawXMO6oXfQ3vD94GflLCvrO2ishxftqK1lGDaeArwFTvoNZ/E1y3SQo4rryM5XannT14vqRYcHhFlsjizSWRbjFXDvWfR0d7Y99D5g+2D9PQOX9oI3+8Nax+qkjMY63vXAB1DDKCKm9UBjQB5aXjVLOXNobvkCYO1DZdtjOhx8vn76OJ9A/2m3dIoNz1UmJdqpFfJZHF6biJJq2I7l2Cpbi0/2BrC9vjeDiU5P2BeRLAVwo8Ih93oU/3zAmz4YZNxGKVcgzEzQfN1cGYLOF7RMHffCvOVO+rmtxtRlq3KrEbAbtF79y9/pN+DyHdY/5KBqq6GHvEsOwAseJEYgyNQM5/PfnFviBNE5mouqdwPFAY+8bc9ifKXxTuAhuQH3OQCn++FeENcyWGyPJTNUieiyUWgqrLdT7ZlNw5Icw4rUnXiHtdowSQMWHq7C/Ks/vAHfjll0e2SrcGROUGWdZd1pAxz9tz5YOVvg+xpiqMW10LvmP3Uq78WYAm5+ekd3Olfe1hDgg5lDr5rtspO/C1RMYu1+3vXgvs7hBsdpAHyYY2Y4zWZbA2vjazwBC+b7T9B9AWgWCnpZfXDHzfF+l1ThdrDzdFL+6ZxzyHAQByTXHo01SXMVcqath+xd2zzq/sNKyjjhJdolpWP9qGhoe3IK589diR1wEeEWLnmcgTuWInkXUeGkBgWZMZJG7q7+nWdP7ez6QPS3Rdl5IDnJs477R4f+WKz4f/7LN8CvtzSfvu3sUNwTWklYM0RmiIQN/Pd3Nej3ukPZmRtc9MWiIc50Vz+J/1/fRztzo0s2gOmOlOICz/ChfMAfV+3rUFkPsVef1CIgR8mRDqrbnSFGBwm8qBa/PfS3JvxcS18EAqiZHKeV7tW1XIH7OfNeiOStyckEsZanubjoqI1r1jtljtLzfvdRe/p1J/R67/DVhBe/DBHGDl5LOS1ZTk5kMFiMSdyIT4/b/gxjZxnWbpon+ypuISfqC/CnY+aiRErX1pYeOWjSLN9BFFvtt70Kx8gsBF4XLa/7w7YBzqisB5pnfXyKO+cLb5A+NUj91BHEvXNY1fu8IyFo3Gx+ZEJ8U0lOZejGEjgkG0iZem2cee3OanjRm5DI3uIDYZZX+P/mpnrU2bLM1Y6dI8q95ENmM6Df/GF7kTO5dYlIHPoOnDLeRalrvTCNocPMGbfvnAxisfiw9e/K9smYvyvoFKa8LeRdDZwW8nG4vDyeFDHw91niHdfPjRLkCTk7Bx25AcynxNvCmtv5tstdMPWedTsOXCzIBqS0hGe2ni49RSUnUynbq0LiAzQ804A/zNe2jvIhGX7V92Iegnb00Qdk/gyvOgfudNUecA2jN6Bvi4YTH/jFpEFriX6JAdNYKv66afd3k/btTg+blT5vDvCDAL/fnux9u548Z63dT/h/qrC1CK86c8jbtqd0Z7nIOTYuyW4LWfnV+nFhFzTeSCBXK8v/LpprKnKK07Ww3ie86fCaoR2sHekBwx+yo0HpbD0GuFL6diaWgvjsX3rZId3vfAHFOupRBrp8r3rI2/tm/+lDHr42Yx+UpgjYF1CncBHCJRjOdQLaAVkTT8msz9sMehn21UVXiuiBDmIGriN5noiSiVeNWVCJnQAuCxp7zjGqn2LUd2bvhOQN9pAqahIM3JHq99mD/XfJmLh0TCIpJ2L756s42QHXXlgv7rovgiq6LKJrh7JreRnO37jf/vN5pC7EgNEGYvWdM3OuB9pD3s8lsnpV9WWHOpybc5mLE5fToXQedsZcT+Opl7G6wb9/Ya+9nSAygIcp2I9rbWseVzoJN4Xn/Xf3FTBnmbLc3q3+x4eXhn8e1G0/9HMuaZgMOKSRzNuMO7OQI8RW6GwA/wFPIH8yc7G9yKBXSvHc2s6F+3E1SWb9prn187Nz1//N33iUwnxk8cVlMl1VR254DZ2U2fo1DfoLsBwZqn36LFaCOQdN65o77dGjAKwC3t5bHV/tCSXjVJz8y9rs0YWZ5FyJ6Wn7POtVvN7Dwta1gB9TXA1zlNmabm8rQV+CWv+tr4A8gKw/9sPGeDnSk+UMgKsDiz8fgF+ujidue0aI93DtOxHmFY+zVLKJRcrktpe9eN3BUoh1B/DKLdjuPe31QckFVcDZeTj1dN0NJGy/YZ3fjs/Z1d0n/C58593umfXYO7P2cHRVRJ3Jh5zkCOczIL2iR0fdGNdvlUy+4Ry8+h28zJltnYBkz9sVzuqbRugIfEhVoyiaDr5fJFxpPcXitqMh2v3XB/ddeUlwDkHLhG0shulN59NRhCYCXpyCnm9Bf801f7hZb153lcAlrQeAuAvrd7MCb+Z/XJpbzwBybbgbVj2sz7DkVb5bZK65tJ/jAm8Ajqd7/U32/Wpng/Dn9pCFjivFDjh8e5KxeJTyzyqkft0t/85fg7MagAb8ZmMSVsasTY5uwFshJ6oDHui94OZy8gDpQGeC5plA/7kV2g14zwNidZEMrsyZWjyICDPAcC986nDpbPzV//NB2GBP3dlze1YI9LVJPnQ4p3pUz0q2KDU7JwtTB/fJ7defT0xzHSfTb//y+/aj7CgBVtzTcGt9zUbOWma97QFrDsBV307u319fp1eOwp3uredwObQq2ycDYHlx8kjA7Wxt2RZFPykRBqH1KufAsLAnyqrj9yycA+sfi12yEQY0BMQgec4p8/SD7810crVMgRdn7F9PFuYyGYjtvXHpvvaIi2PQo2v7A/Efggb6KtfW9n//ZONEtONsTu7ujYX4oWPyBZyzkDH1qdPfM1vLk1PQyttvtQLr4u2zBnTB4+ud1HyjoI2bePdme9tKYf+d3lIfrVq6N9BroPmIAj44ZWGbcAe5DPDC6oGjC3jH3Xv1609mXnUyJfYIpZDjy3CJJGio+n99N6Gw835tH0Z02wD/whpipn7fniuUtCQn13RNbpmj7vUe21puxvgcZ31yECMy51i3VML57fVVO7Dn3swySU/UAJcfkhjnwvbQvbSeC3zgG7PDXQxk5KjYAOY5hWlPRLR77CJ5tnNvB12yuL7SUeNi6Fc92uenvBYTZ6s+njl/VPK2CiSOUjoP3pn3uod8Hrk/ld++ci/X3gyYTg7cp5AP20ftF5s6JsB02pV16g3iDGcO34COnFKRRKWwHb/GySDpKdbic/733phdpwbhg0YKKW+R5psNfIc3LVsM3OCFlV+FN5WlE3igUUYVLRnmKsh6YvuHCGCs7bERcgBs9viaDlTA54zZar7w0LqULynl1j82OYm4RdYnx3orSaRG7qQPbYjtG/iX56mYvrNQHcuwuFJXnSSsXxWKh+hdpSJgzOtuYV6/FL26Feay0blwyEpObE1CyJEFYJu9S5mIq4Cjz4dSoAA0YVkBMp7R32f1tf03yzTbq5P1xD7zdsf2yV6vEPN5exEgO6iPQuuR3OxpCvh3rFFxrzli6Soi20+p1h2r82nSTlBIliTKO8BZp1MZmr7aH3xhPd7Fq2f/5pSe+gEt5LNcdeJ3hqdKSLb99d08ekJY36szumyOXnskYX2VojU1E72OC/do728GwDp/twcdOHC2i0vLBwy1fbtxFU574D2b1/uv43M7Sa4gx5Nn6ZGZ5OJLhLenHrFfsENQO4TBObDztm7C10LsE/c/XnIibCKBmp56Oha5HibH1rlhHgx4tR6rbi7zXXR0lpf+Gmt3R2B9ispbVuy5NzgnDyyEqMMUco16As981MD/eb/MWbS1Xnip9a4ow/ZcjdNCunCj4O+pQbOTz59wSt2KmzLrEqLH+q7/+ajO1+K5/WFuO2jepsAfPClsL8YhSEfKm2Fmpb9TjSAje595Dfqy6rStpL/X+d8HrO+9ZsAhO5HD74ky/3InSO+Eoy7c+dyQ/HI9udMrR9mZfsAF043qLy7otXvRz49aihusGWiN9kNxtMnG1s54Tah3e+BhXhumT7/4FTl3iKEDf5+BM7bq912C0ZhEiSf36uP8Pvv2ffoLU7Kwtxyv13s9NcJY71/n9w42n84UAbZFj001bA8ifDxBU6tCTAX8P4cKge2dahkJnIXUwRK0biTyo9vfTz4ZTr45ASe/2dn7r9qec9SvwG0dLugDh3wjQmKaoT2WXoBTv31Tw/KdjuoEPHAj/J3M8nDFsLPFWNyxlwDvVzcJmlYPxf0cBS3dH66U0RA7lGq5hTz+qre5PUFbMOveVO31nTPEK1Os54hYX22TrvV63ieb2ksO6decAl/7Is8/ARs28DnpCjH564ubdX+9wqrOKHgj/LCUkPe0gXzs09s5er3znQsRmxuPdz3kaJflSNbAAUBTqtpPRhbvZsbUBcs2he/vn/ftVPXEzvu96t59sz1m1q/X8is78x/OwkPLG+Te1IHP/jqzGmLv3zzzzM5+oXsEKsjdaxfZWfqTFMlB5nQnuXincf1IZX1X0XTOxssduPUBOFtLrN/evniQ/s/K3N2D8c1C5cQL3q5qDO3+3WVce+cQv95JnXmnb/J9+1b6oJv3ddAwYX29hfAOfjO27/prDkjc0nLfgh4TZdMZwSPyDTpQVPD82CHvAuJIrJ93y9EBtz+A/wV6/QQdGAywBi/8uoCOOxMbi6sALhZumLDaXT8rd5cCLxQ4730V/XnyYc6ymK8snvbAl4Z6cCUbWw9HyCtD53lG6I3YeQ05etadPpFYkJKh9iyLV13KKtb+DtwO+FgSE+s36/9dgavMWKZ33IkVcgA8+YzKCLWlP33IiPhNnFyBT4Bunwjdw/fZG27nlII22XBAGrw3Z2bvg/3Jq7t/Ne0YOOq3DLFXdsVa+emDfVlPlL8B8cRb7dEf2YUPFbacr+TchC5Oh+RAQyO0Q4+sd3Pg/MDvtwnE3BO7mlSxEk2sM2tWBuj7LHrzmhVMCzuvmov/zgRGPrXepa64ADclVW+GIhffaT6Vysc+9XczHa0Pnzgz1xSaE7eOABu7nZ0HRnFE+5TRRESmK2Nbv02BA6h/HJtGk1SORoBtsR6S317ccph93FG/cNSKJWhPlNieT6X4Afg0De3MvbpX+9pMG4YmB7DCKXKq1FAsRZ5MykOPTG73lWdrMHevd1IL/N23Bsir3Cc/SroJ8BTQvQL0jwCdbAIWLSuR05vwyZ1Idam59Uk1Yx2ZZ8FTn0N08a85LkOBatm2TUhzBTo1NQQB7z/XtnLpP5/VZ5Ea7Lqeee+enLktHHsmgP+PxYPD/kqZunAWPW4SX6wkzHwSNcj4rJ9s92pbZtsWYtTer+wBGzPQ7Iwg0NC982h6EVHx6gG3tVj6mrpC0GFbcmnukm8fqUdOdK29ykVEcMJT77aSPR0rwUEHJeTomiEbtunJMSZz4WxHS5K5KeS51NddAnxCe8x8rqVpPdYlr1k6g61xOec9YArkZQ/0Tpc8MO+ful8k6Ps+e84fwOU46DJUR6pnwEBI347pegDdu31nyDxrR21Oz5svZZAzpkMc6onbd5v5DiIR/+8dvVxUydFFdsQDPP8i3hKA+Hhi68u7/3zi5x+/6HY3jHZKrEaUzoRAhw5Hvy0UogwzWkjeupwvQ40gh7ntF4v7ZynDlUTu0Izo5TPyINyA7tSj9hA654mTun1QhtO5HMLVzowCHXdmw9LhUfCa7XzhXhaV015bjcWXrh6cTbP/u6brp99EqGjk7/xbO+MnL2P6VbDkdb/RazuzeZjnCvFAoM8FdKNb5+ZDGvqeOVPGenFOWWh9H/bn/c76ij2KPhHV/u+z9oSdHRCALn7TEZyNmCCe03duZ4dZr3D58EvAtdf3wqv6AOTpUne3ZiPaaB6kTUczWPsj/HyXhYTq8eAc3fYHNNp74cwRX+0khzlNIZaA8yVZL46FX6wlX0CDikvpk2vpXCwfOVb/60MMFMT4ea/k0ZluTLQ90HRMRzGc2e67sH4O+c562PmAI2eI9iP/2vbKISYzaAf//Z46M8K9+6hy7EIeTMWefKuvbVINwNVNKys0ve4chso7XDFoWBkVLo80Y5JciuH2gBy/g1x+rvLPB/UETnNNs98aJf3MfOOJfOobOS0nb/YzQzyam0dh595Gh0f6nIGz0MvJTx0G+e2/n9X9925//4sZkRhOoEOrnv40tq85vyxNqOyk5SmLzEk7Jiy4vnFH0GYI3qtRIx7rHWag1KRKS988gSNcmY/Ket96IJXWo/NPm/dNnq5y1A7xkJt17fUcgS4FPS5zA3yJXjMULg2iPxAb8Of0TFnh1cM2ZsPEhcRPbGwt/BQTO+Pd+51NYD1TlvO+X9McuONev/yXnYwvEebiDhzQl7HqsEjei34rVLjcz3tQmjJdyiHgws5TdxPQD1MicjpwOKtFr98rO1dUKi9Df21f14m7dr7kdASd22acYsCjj3983nFbst+tVajnjBNxso4hkVtol0KGsPPa0HvF6ZPJZKo84IM8sO/h3CoSB3tvhj3lFs72TXLXZF5LiPX5ETtEWA9MZra9Qq977Ccd9PksdgP28BV76FxI9AN6GTWCr01H8vR5u2uDejYYAXpsOIuEEr74dmrymZnZzotO/1Or6leAQ1LizXlPCeS8FTjCWDrJ62z8Z7aHRGHDISc7+JE6dAI1t2F58p0yY32HZtjzWI2X1XLgUqjWvuWofL4pnElif3ercqtbWsLWXc87cZNc79PcvstUpDH/7lI2EIdvte1BGDZPMRrX+tKnchZFH3jMmQfQ+Rlw9W8cBhcNv1kY/ij3msCePRQyuRiWy9n6/srirpl25Ijk6bn9wn2wCq/3iXzVEs+PQhCnNv2Cw+3V9rc3wPNgrUS5/r0L0AqVaYG4U8FNGkDeikA/PBu5xNRRE88PT73Wbu1tSQVnLBvaCXutEjwx6Siu9p1+g/7Vs73qSULtt202Jp4WRcDZ59ogbShTZ412tt/hzCI1YV+P1YrvPBR+Nszv2ZACxhHCbH29SL6bHPKh7TmR8N8RIrV0eRWj17vRO/zdC/fsTDvITZDbySoE6D4KCjIAFD+d3BZOiShIpybRzzfgRaFm7cqRPha8cEEf2rnGEvSv1RCwpsHmzA6uDCdMJHKarnjt1wLaZ3dy1R1L22eDosz2DgN7KXwSqnxysUQnex9bRi2q+ok0snZBtcosvDxVb7WU+NbZ/A6c9kI7e7+kU/y1tbNVwjM3TyHdF99YFIdcN8J5GIBvO3gBHSl/a8rNTtQDEYCVGwpPzTjxqWwL3sPKemqF2HmD33my78xPXtLKUQ3HVRU0216U2E2pQ85wDtujW/zroxdO8sYN6EcPcf1184TcHnmYmNKnP4rponYF4pJ62G0RNXyts20vx6nDTJWARM9zWMN5o/vSE0kZBT8pn28n53Ophs1aojZJvfp1b2Pv4X3Yk4T15GZ171lOphlFWdi5RXshjo6x/VKJ9QjKkO4wR8M51ptiDT3g370S2pyjrWKR49SjOrAxuTaA76Bnjc0Ntjf31VuRPW8b0GOPLLLesDWcDQTcQn1gl3uZn7jVfnc5OduuMmIsI/Io4KRSA/sVbVHFE9v3c4U4Bj7kKnuPQJkIRZgg7Js77xUqRvWai/UEzurZukDYp5/McdZiRW/wT0/kJcBOsEIcw3r1j3JQTmrxUyLbe3EqkUBY3pxzrt6Av9+A891FmC6QmwyD89TE6B2wLTwj/VrDifZmFqGLrA6gYirTgURaTMcsVrdsTfyT42zSPlHlnrBM8kDvd28pDxa+7o6SO9dy3A2pQc+Mbzd15Bpp/dgBd3jeX2X0xzv66vtVq58BXhQ8OWvIwaDrrNt9AOv9DTjTF8xwyDtGmWnQe53jfnsoO3RizmaFZ7pmYbqBeOyOKw5oOD+ywUD+Fp5E5AO0cQF66crDf/1fu7SnfokS8tvTA1ql8gIEfCsErLsDv1xPHg4Ai7hAvce86X7yL1fQwfdqbJPSpSlHijFm3822qOkTO5tDFn676nz3KIbe5lv+0npsHwbVgKwPXUe4ujdx67CVcut21wzuoYoNx9afB863FuSnWlNYm+CnClUB52gBzro5S/EQ1quN6Rl0dZmNuxMZ+lW5Zsd58uoBz1KeHEUO52XlznEVJ3jOkIWuV8r/zJSR7O+KfWK9HiNiJ6OP3MkQ5GDIvRq+cxPTGfTfnkWzi+PWrcLkWnjLzOW0Bx4GTGR63dsw2rWJEOoCLH1uuMmBEbkkmkbmYjtHq7Relva9fsG3Z2rMhkRBTh2aAk+YGF9KmaO8fJ+ds1Rz5kDq5e0FR+5E18JlLikp+sd7BzVqUcagVqU50qH9qkaA71UD6ybPmqmpkm778i9itqfPJ7Y38E17JGmY+MryywrrTuGzQeu5di7PW+brHegDBFoR9Cp91R5kjbyBNhSb2qi3468+JlZXGR7xuxpFpySSJG65CgmupBnU3nwcPURKnnDlbQfQys+GqxTW9Yfu/3p0RS527L1SUkJmANpxe91vPKjzCBS/+M0IvMgHLgF4RfPaP63toxomW2PRSfHrf+78p7/Ivkv7hOwLCC2mS5q3dsaGfQ8wqhhyUjjbnqpRxolsev0mXPTSsBEPpyuT7Sy8BTDazCQHbSLdU+qLr3IVtOZ2MGsCnC+JsQxOmRT31EXvwMdl2iUK8MVpYnGg0eezAl0COOYUpl9Zbr4h1xjgJ6/6XtFAbmx6UzJ0WfjYLkzOgHlTq13yJF3vqzxZM5/fYa++M+A6xUo6DNjwW3v8n3cq38JN2kqiMuthz712LfqZ2Z4NPXK/Yvrl5/tsRnonT9D6Of3Chl5L2P8mcp4scn1QI6TyyYed5wD4PVZe6GAjCJwtOIBwqkIBbObffQWlgzoSY+9rBYN1/Ggk4MYe/XvXBs/os4hO2Jj32vvzxICJ8HwS+AvWHv2Pz+MoesjzD81UArHESu5KzHYr3qsn5ImYo/7JV8jrDu1Bp783vQqEB6eJtynw+heP+jnHIgO+8JV1cH6HecWr/sre52/GYN1W9MXctlcRv9YjYNeIrueQhMIzlDvGeo/Z2tOoyJMik2lQeO43jtB3bT3UQ+vHTnHRLy/9dRcOXoGXBVjolsh5bWSrGtZGBUMzG/8+gec94Fk+yAq5Yt2loIlSaudi8mAUv5ygzVNDDsBkN9ggVUr4G2Y6p2NxV/LPSt63r1qsWfHPtWLYAbjYVwY9rA/T0QEeIDfWQ/fttBYbNhQOcLpn2YdrNSofuLeCczbaSYzUzgXu6jtzHutpFfujl/wQRkBTtZnquMPZv1rigHVEMoc/mhBbPbtTDj2UUZIXrlm01FMmSZR2YrVzrFQ4mzImFzgDJ+0lme6Xk47oiSHgc6D2IYcdWbjNJdN2vog8AfYw9m/WB9EiCbSAHI70vhnMB7Ak58yBdzIgrHJGJdelCKcj8/96L+8l0EsL6KMw6+GcIuAY+U5UMmjJMLEsb3G50ifkSJbZmhqpXrU9a+XTvnBr4AygN7hhvDcZhO9bbe/S9nYexGTf0XxjhLpixU7mk1nu0dd5D3jFZ+uX/pTh7zvogjP1Vjh0B6DWF0PScRPeBd++3nFkoEkn5qsb7HNSSdD5XnJo4iliw+3OAafgXKWgIU+gO4sjcBLI4Vz56k7zhDQ86E5OO/HhcBfMrPAZF73SvvZJCjwoLfLpC/TPq5bY4XuKxJ4/1UAwWXtfPGfeZHNh61KJ56anNfmB3Mjr8eCfrU9Gb3vK0GBnnWs55cXXdi6ft0cTK0pM4lS/dRPTj51fhD3bb0Ff96KdznsH+GAMHPbNYnuDxNqINq8GobLnH/izv7YXEvg8cfiAqHK2CBb5XaHpSI06w7MvVS5mtdclGYRU0cGvnfDejGTWLPEAK155viU+8TgKr2eZ5IwlCpv6iff6S6BWypgsNTf32taKeTpKe3eXyYXUti5D0oGN6KDC21J1kAHWlpQMvktna9no3vrA0j19g5zwuscOyfvNoeJg3SONYvTn+Pzjq67fgOD0pJzPaoRcnaNr0bU+8GqHiE8H+3+Do7f59TDD7l/vzPXtuP766z2Y+VyAj6WQp2fR7dqmf919zd/FsB1SJ8mFfQ+XJ37NdZ/mhV86f64inozo+B04uITf9WBe4fAYX5sOUBDRL+4muzISswScVo7zrJziQW3ZrLe0NegHjRTE9D8vpLAexUEzc2k68V4620M1uAJwpGBME73u/uMVxyEnryQoBA2KPnnae1LmtGHVE7/wCr/ihQdrftTxNNs+99QRx7S3d7LmnXCUvc5hKknW5HZmmVB1397kMMfYpTMDTcS62nr0DmTdUeAzrkQqEpaL5CQG3ge51s5sp6qKSaFyVeiOr6DKgZf2T+CMQ+Wo72bAr7zxzBx3ofKwELnw1BVYxeqLRtOz8rY7ZuiliQnOInvH18L+qQ/QYTdup4dEv3dC300XPkvW7lT819biR+y5xRB/4dHb0tSdbhTy7Ut/lV7qnGNytX4AwHOvxL+swD0dJoF395s7/PnzvDclHTY+gT3DqznzFXS6JBT4hKNz4Bli939Ene1yqzizhW+JD5OKf24CAmMjgtAH6B8gVzAIm9jExlz9aWVe59TUVM1U9o4Nkno9S2p1n9vfPbzUouPy0/SJkCveAEeb3mKvPdhTxpKP/Pz1yBDxpQ2MzREnPIlzC4GfMHuuMql0NwvdAu/lK426jXzOjoh3K4t3AJBoFqPdmbNZiHdBBmuiOGNgLTkqrS1YA68caafqU4+bvs2wFumwHeswueQ9ScFf36tza3Lj8ixCljxtZRuA1gF31/aEwIv+7l0ySnI8zht431URfd2rUvaKdTEJ1ZuMgRdC+zUP3b2bLIXz7tbj1tQxtzmw28Gt7L1FTB1Cz/iFwpqzus/vjPsQ222nCb0POqQeLdUix7lrg90VGBSn4Jkpm9xGkJi5CsaX34nAl5cnqqMbkOwckJB8t+DXCmZ/mr0gYA2W9+jChwXWzzvoQKKP5kw0HOz8OQ/gIy5tyQsy2Ah8n0ccbz4K8NNxB08PzG7jjdDYrv+/761k5/ZOGK8J1xx8xUaMnkeFMn3ZPiRtH5WV2CmbnNxRRcs83QIXKc27egDv89zus4AEzOGbvEyEGCfJLXXBHNY5787AZgdS+n/9lzlKsjQ2dwNT8BmmW5B6Yrt9KOf2JOdkxKZ+9zDf4b1F4GEnXKIfDh4GuOLQUBmnrFqLEi3U9bMCfDyNgdepH8J7qolOLeC71/6GD3oUURezdtQXGu2ewLt+G22DOkxXpuW9cOZNLUKTPzIAAwpuGS1N9u1gejGoTzYsfc3BIUU5+DicF4G5/Q/ewgbf63Qn1vvO33ihaWpNzZbQi9MIo3bkQS1Ujl2IcxT8qc0etN+5laX3avCAbaoV1uJJBbuNBE0R3N+IaL4KDnzK5nsBOCcZSeo+yXCUmByQw1/cWNVn6ySHNFZn07ukiSWSZ7LndrVUrg8xSHLQLlGtyOPWnLSWdg/O8CiYFqa/runpBXM4zkdVi5GMx16ORR9uGhuMPueHQif/+6ybnZf4lsb8SkHvTB382uZrU6KujhBtQ5iXoXxSh6cEwRocNQOfQY8a88ICr+ZqU2+AN5ZtFSv+AW+rlUBv9WCXLdc7eCbP1JF53QsQg2feh3uMdUBt3/Q3morwfW2K25VE8pEi9YOdLktH1Ks1vwuIRhmSmXluqSerof6Jr1ia/8bwTgqOcvWxfcoe+eChdY3+aup+CqQyYE5t+uXyaMuBbeJjtIAPwQ5oyQPb+R2fTQ61HaqenFuGvnOzt2UP5hwYeDCxZLFd2vgfeF+Uw3g+YexzHvyz1VpdWa9evVoGRfmlHRZb6vbROh2MMY7JiiOF0Cl3phPoD3hXc/YugWn4kgpYEU7lSce2U7MffNZdE5FvSfkMinIrQmDN2Pgmcj+4wzUfvJf/WlvQO2X7jjpXG4i/Jj/1g5n8OtBEoIIL7VUmRwS00SWtDjfArm9ch67qO1g7PMLgw2vuj1Iwa+9U8PunH1hnz3zNH1mxnavef535jvC9ZOvKOHcn8HUTqh1vXwfgz53HUzDuZtSHuT88YW0mx9HDZBjsY6Q1d3Bt7kQdQ/lhejwUTkdoBMxG1feRdeeDo9+4RTwMbPC/zzpkplBuQDambkyG+K0t8UfVh4/C5HpQtGnO5M34g6NIQuJOESlDLwXebUJkHSxzcwZrWdw2GeUprJorfO/b3vI+ZdQ6bJWbevx69aF7QDzvmoE71JltVuILs8C7x12CB5uYLiksJBEbTU8qFFeCPYRYBhKGGwZaYb6LFB6DGBkWEf8Gz5Q0jHOzHwPz5iAGXEjndcYxM3aWazosMYlmiL+JgHE290SrjPFna23fOPJ7EeE0FdvrwQH+E5aDkQ8e36txxNZqVYarYbUTW9m6zkyPOiHhu3tEOTyHNf/aM/8x9TAMX+AIYjrPN0Xx7pm6OIzpSjlySB3TT4fcxCDtavRm8V8NrOgYzR13lj3XU8V7kzuFXJhP58JFSxPyexOTGTuE1utfzZkwo/+8gz19i4Hfgc4mYGUtYskqi8eg1TC/yFQxGRwDUrdabfaW+q5P290e2CQrL6a3ww14FfTvy9SauhcwLwtL7bHgdRPOD8H++i9rJtTlyLbiyMw9qH+PrJQntu48NXzdm0hnWJgzFH44RsNSuP6lMLVKuOyPw7YCryJh3mXqucXm7pMYlqzl3E0dVYIzPxVs+6nGr7/8DaK7m2TDtS2/VmVygFcMorezRKCAVv5Ze9tPIFahI8rvoHUfhbCs/RpuZA/r2J4c4GALvBaVOllbqnZH7jsH5+vOzgR08LJJ+1efx5tLOYkzzrw22sFcTj6OAfyeUUeELR/V+G76v19r98uqS2JVxdZh5VSRXoYNx59tzE907ewG/LGKEXDL1B0FKtuz75szlwp8CnD4ay3TquwwY/wHhyQAFpvVkBAmupFFObz79ErPE8643GTxZcMCiJnxlBej9LNoC8w8heSXL/KH7HO3DbBV2cjkVD/A3yLAiiXlf7WPbpUbOgfbXxrHrnmJLoSRKoM5z3v0aIUN7ydcaN9hU3OZ2/wJLGDujzngCSGGooEHySfMhYviqVNwfyA92qW8I7lravpOIVv1a1804IPcHCwb7DoqQTeBO3WVRtJvIu8C7/1q8i3hd8QVWHLlzGMdaZZGU1L0yb2Nbg8s3u8qltfUJWldqgN4hrIYQDtsfcsied3b1YuxJ9OnRY6m7wV3wassRbRdJL9cCwdYA+k5B97DVFPpcE5NX+phywibE/juT2B/kaJ8A7HJhblo41BKfu58Ms7iGCNUrN0zizavz+IVS4BnkFTMRqmWVu48IMpJB2ISkyOD99RVIpADc9FIou0dB5oWVsKAUzHl/zYiSEZzBpCemVPrysniFjhcPg62PByc6ZNAnHztVVJrsCA+mY1aB3zXoqItbYw/h2c1Oc7Y4mtNE9fUEKhEcuLn3UP0oOGDTFs+ufWQsIbJmkdkXwxbiYV65MKOapRsKho+wEv91atsouVUR/M9E9tPYAvg4G0CFrfMOQJt+1qAC75rC3TG3EyOtt/UwiMN1BnWXSog9lamTnevLtnHzAqNaQtkikc9p+NlrZwuVcH/98tOR14c2UKLdbewqLVbW0bHs++aXjotl7J9brXUeGqj5FJxWKumHvGAitpafOkmJi/sKofpCk46rE3v7zD3Dg7wabi12Wn7gde/ewEDcYBZTvNHYXIaVlwD9/+oXoHPaj2I5//V1j5tkxQ0l8KaJfG/pS75rg55jddqAzz5wJSs8B1/jmK+FKGG2NqlXOud0j54Q/u1lsGT8h70/NRE8P301O8tlAA7BYWp8VCCrvTgFXr9UHb4BBIp9m5ranFfeAzeeeXjYc03Vd/eM+bdqUXOqTt9txx9yHiwClflraVeHLUcRbfUoGuq1DYZSa4GRJszH48Buqm42kjwZAe329D+31r3HfBLx0ydUFNnVY2Xaxtoq+jJRzp2e5jrvQrlpXKmOB0n0PR/z8pBr886g55tWkY+4D14jd29tR/zRYSVXY/yB7TwiZ0EuO3ybM6ho9hS4Agf+KAT+nsOrRZ2Tqa9nZjaQztpoQf86/PB9CKBvxvKH+C7Vy8kh52nb6m/1nbFByy6iYlwbcfH3ZxbgPf67QMIrH4mJpcnNvtL0px20naEdx5+bVIO1BNi3QyeroZlhfljepFGe2uOYF5HacReeUTPNOS7IiJefja1XPy5YYRgS+1Uj58ps01+3xt2iYuLrX0cQguX2iFnU/d6ys254n71TT0TXDi8ysf53Ao+yrP/FOhr3TskPJ7e/+r2sCB10/X3zsN0cOH5wO9g14eYwDdKqIO05EHCupIfpkduZ3pQoxb9V/9Uao3BHV9x+GUx1hWSobA+7yy5kiQvfdaEcg+xKHmd0bPYR7U5W2aLRcX2lgIncVvBugcUi03tMNv01NXiv54jJte/5m74JKY+42Dva2v7gPG7t31r8hRjNm7rNkLDwVky/JzBKM6vOX/DxTxkIrkwQVbwiTCveM9CoGTGBUYI897fYFCKpk9SYLPfPkwi3O6Mtzs4j6vS3ZMi5AizPxvzi6m/QezkKtFU1gH5ob185bOB10I7NuqJC/6oXdThcrCxkOneJYkKFD7yxIF5xngI3G5hB7jvnAb82oIvgDkWpg6pDk74gO/yfbC2ZRt1ZQa+LAt8mMdkhbH8O7vhzNT2rRbqkOE4qEBEXSStROfMnO9tnWb1f9ITaEQ5nTKEL5LhGD7zkq8taElSZuGUqEgxEeuRigd4ejIRayE4NtHOThvtv/Y3csKxLU/gwymOBEcp+OEztVXGRsuhsV8XsJ75YD1ajgvgoKUp/60Y3ptiHaoj8uB25zQ02dBoWg626Qn0BX6ncoQYXEXlt+n3+/Lm0rHsFDGHODoHdnljI8YFMK6ISZgO3VRQiGvDzeRD4ILmy3G82eTsx5RjiZ0bfI8pIMwW4tx95KOXNI4sGq2fBZs+YczgZ3/1sTeSasAPRE0vgCxQ5t5C3o6gE04XkQEvRHzZoPdAwklRlSTB8XT97T85SjAzQJxnbe8h8mYl7lpk9qEm00/yQ0adABbgtPRf9aPuxOI/GUIZcLSp2UfyNfG5o3Ejko9USBccZSbOeIXVX4AWFDTc3LmYAojPYc3RW1Vy8KLTvdZdAbHxkwvvI3fUpbLajSw7ubeW197Xys8yq0C7KuBLcd5BfDI9n6dHEakR4s2Uc93VI+7wsE0KU6eEAR8JXQBnmZq/TiY2DrCFaCP7VnN1gfXYEUt3+WjyzEDV+asv5+2R9zznTH5wje8tg/cgwPvbwMgxexBggOrc1aw0HWG+nkdzB5yjgAYkaFlq4WizAS77UCvHaYD9upSflQjNn6F1BDHE2iY5f+05zH3G8eEYqygHrmNi5sUZjcztwEsBH0WWubP60YSaMg1qQfECfkq2XJepkwjwtqgy9f9DpEF/gxSIhwS+qXvGWI/9g4V4bv1/T0mqYXxKVVYMXLsrTS6Rn8bgEaPu3HKV1kO11MDN+dmX1OkKMg5OAfMSvH7A4XsJrU/8ud2L4d3CFrCyLYU8V2tbTm9NEDoNIi8GMHlDGxyr+rdmp/h6cGfqM7Fbj8j3M1hfplZzbXceN/lCwq5l6I00TGQbSljD86rsjqYaHVoEc7TETm0hm/fdR0E5bXq1r8e/u7cQP8EyxKaG8ozbGNZx718zCs8O81VxZAG1RRBb4T0mEPOBk8CnUD3cW9reW2ezZqEMgYcTbnrVi3eLjNV9D5TJo5sNrBHm5eue1O3KwuRSx8mm7UnM48pNow1o6+wD3+eSfQEjkVDEk5+Z+v1OZ3pw1OkKVD1ILocvr+qT3d79Z2pCleScOFmUwM/5phb4p7DxTxv89VIPTW8PZXmmzsSaIb/Ajg7Bm5tegfecbQ+FlodqvHksvriNOaNa/z1lJE/tmpTpx/sdOCsHTYxZJIFHkh2PZa0iiY9hF+2dx6NxupeHBS2VB8PwdZmu8pygCuLhb813dvutHQs+zqbO9ltE1rUaTa9CPFbjxUpFesVcfXPQboglpt97RgX+TB3TK6bTJmdPILkBn/3q43NPS4jbKLGbFdl1rwtlSZir8pyas70otyVLPsnpfWXgRaiwr3urE7wPTU/zt8PaJYKqb3gfG/DY99rWh2ZIbmm5M/VYN2T0Ym7xF/fale5gnSonH3QtUQreI7zXQeXt7cnLIg1jvZzAbbEcGJ+uXx7E01PK1P1/PRmeNCJOEeQeFQnm1paruOty15/UwPdZpPJ0+KsjTQqbF5XtA+8uJ+Dau9BENGz7bfq9ymK2QTdYhtQPp+hZg789jtsKntFjZo/R/bdRI8T6VdXtSmQTDNe9Y85/ORPnfK3P4NFW9KqNmVXWDJNefjfBbgGPCDN9SqnLv6WjXRZ2wZHhCtMO5tCX2wT5hlkaeHjKK5f/FFa7Ns6s4c9eSDiFGdWF7PmchgljzDP1jgs1eq99m136nCu2/talG/HamfMuU+ug2rt811rdQ5btk4WWV3zMENa7H+4sYWVtvWM5rCya3NS92EcK41cSc5b/Xw890MHjxxY4C11q53UmBese+UCM4C565bZuB44NFYLzMyuAsSwwvuEUZIHxLOlGhTarV25ymB6pSCzcd57k5FpoPz/2XwtzEwHz2D2GS9LaeOGgp6aH2+tcz/RvphAhIf4a3yja8z8n7/1b04NXFqhQ0SKo1f2QgF1TeHfg62Qbad2O86diyRv4h5U7W8pNjh1Vv3nmzWhrKbiszrsF9/rtNefV+csGNqqJY2pAMDt1gHUc3AvWfWAg7CPi+zrCN8rVSKNuoEI7LFZnVuJri7oM9H4kNr7X7g7Wuy+P539WZcmLQLyXTC3A4q98tqUtScSfs6g4OTBwm7KE+KK7ndkvIpwLiLcxj3B/ZLNm4WzVQlPwHllxnq6i7N7YWX3kZfJD1+S7YlPUhrZXjJ6XUnNnByeKza85X0EMuR6H4Vr0zKvZ/EnRxIB9S9CxHtZ930bmnkYHvj8p83Fr9hls0BOUCtWJsHvD4Kcgkljs493OincvHXHAGYFn/Af/P2twXy9v/gbe7NEGCjg2ESaHq9IE5SVEVpoYloBYRFYYs8HUCJDMu4k+BJ+Pce1sFmC1tY0TR0IcOFI8FqfbAj46z3joiOEBHmtwgS9e+1FreuY1YWRUEbHEgAPT27Ned2vqANWv2ius7pqV+bN2ZtmAF8otzYuw2jBz9tcrVNMOHQOeYXh+HnVFEXWXOtzmpEedGHnCTObj//aj2EDiY3h5cqEW0N7+GCQRER1lzJ4qpvdFxK5Vz2Fcu6BgdsZXuRQlAe32K9DjBxGzW4zpFcCvAlbzBK/sQugPxrZmn2Qn0F9/h1lwZfalD7Xj7bgrq9RqXcnsoNHdD6UEvGDogpujWWTvjxr4jb0/auBbeK9X6STn5twdGodMKvD36bANIKY+cj49mdXBul3y3PnLW/7OmUeJ2Mq9m5g7CJ/N+s8twHeljtLVKjVZ8ZQLPBxDb4Z4a/a1pyxgdmunj3rUb2LIHwcH/wAjFXt47zmHzwJPXgmPVGvSH3n36p/yLIbF9Da/1OL3vPIAHuinPc0WzE9LcLwjzvSkpsfLqD9IhIBNuitDPM2H/EqLuTyGPGhszOre7D9iF/TrSkJd0VAazXEOa/tXHwBiyzWNdm5WVnegqXt7JlUdJvB7zV6CkrSHOOOa+nfAf71KcjG5UueeEtM9418bEe42Te8v1dA+2Hm4F8PG1NaPKrF5pDZG5sz4f59lAXfdwCcuzFoeMO9/stBUQp41cIUNntBuqWQwToabfHOfVdqd6ftbV7CigV8nbs0bNiwnmJdM6M54zadg07lFMHKMBIVdvfIcHGDUJ+jfRYrpVBdz1A5sQ5xkz63cJav+aPlUFv1uU5zxBJrbk564zTAPmHVhFiZhZvYryi/Qb5SBLgAH6Z/jYM88vKxkJMCB/18Xq2DzB8TAtxZAqB3gHQT/NjUlYM3xQm1mVaAZFeWGn0gxGk+0uPAZ4EPapV15znQH6wTjLNz60to9QWsDNgBbQURmEMeVZq987N9cHCHsC8wLWFdbcJ3tRkQwy8LdkkXbAZ7bL5D6ED36EZFyYcy/j6CbhxXeR3Hz+FoZ/9zRYeNhU4f+431DRX7H8D1VrxEO9OtettWcQ4+PMG/d/NqKaVG2BioHWj6rz9SaynTU3THm37BuGbxjV5p7IWwJTJ87EqAkg5hBncnFZ3Knp3evfb5faxfmmfV1x8J7a4N/7t88PL1fM9ZV8MxJJuSDUi3ZiL5TBz4U4XNjTWadMB7N36CPOWWzw6LtyoSaTT16NXQpPIvDzLmpqSs72g6Mm904m4cqp51c05fX2xwFDpglg5SHD+zIUxEmNni5EN4yyzXfgc/egS7lZq6pWMVH1K1sfH9Ww+aZlYO5HxTx0MuA1+bCwsBOMs4dyZVIpsPK34o1fe0RLSSe3APwZxHZH+Btupqis0JJrezkQizgjFFjGcPftbYxBn2Qeno7sptbl/ytoqhsEX8T/Zcrre57b207cTbnqzvwgckIcy4D7//iDXQc8XfhvEMMk4KcVV4Ie5aRTnJra9ejmpSVpHWg55YnT9GrbxKEbkbVQbkY56zbgSb5zel2rzj8vpLX2Jk7DrECYha8GwzebPu6d+NXK/CmrVjbI3Pu6Qjwo005DaonML+5bIbdo2ELPg54FYH/2D/NvR20b22u4d1H+LkFbsaWgNjc8IupfgY+BQExSA3faTH5zH/3AsJ3u0AdOL0uyMf5QtxublfgBjaZ+qFd45L0OGxMjs+P6JOLGk29+URyS96AU835xI9CF69w/aGmvD+K1GMoX9NAj1zvHEXVXz3zQiOXl9P1SBN25FNV9ETQvrNJv7NotHTSIrSg7Fo4ugedzuhZP6XQZUHJ0jiSmNrsmM1nxv0UWxvwGfqu7Kmk0ftvjUPghBezbeQaPgRSwKHaTiOcF7Hm4IefROcbcy+j6LWThtMnG8GfcQlr3uTI8RV8yYENOmBBcmV8yhpL7kCL55aZ/iLdoy5JocJJNuz2up8Cuo1P9XMrUlf9AGthLuwHHefb3u4IHch0LPGJomqRljoRQZ4V509iyUcGTJ6LJaiZ6mo2+cdS3ZjJxWdGs9E+FbcriQnaW/br3PyQlemz1d3T9FnZW2yDS47A708sgKfgoEn9bm018YHhvYqxO3O5owY7BW/nVDCHmL3z5NC9qWGyDzDzRYC/Dw57spjdac9PnL72sW/r3q2eSqNJnBnE1K+N6UdWA8NT8btmfGzNNbVUWJ+2tWJTQFe2SKryJu4cxeWjCee3g7Nz6dBZB4dndWjTasAU/GjExWMBd5C+dFnFJG6LeZMOLTwbwfmAu9zW93zUd6L5kA+hAzzhF2c/odF0OOp0k1uezWO+wy6e6JCb+w1VLeyl+i8P11TzIhiFixpmTcu//UOL2/pWlTqRDqwTnq5sBW9lehNaXcURzFEHp030ZVHwy/CuT4ImqQphrXMJbKWqgvoD/P6N7Mk3D9T1KBStbOzlA4KfI1k46tV3iacC6Ck0d8y8qTgT0JW5rs05dKkm0OKIIhDcUrGi1IHUmhCGd8yc6zOYf+PXk7jqg/OEAK9s8tInmKELFcotdGgfrNBTzt/6Ag0lLighTQO2NvD0KtAdD/xvFU99NeJHDkSQxR14isQTvTxjl0dilEMldlfglmcW8WzvdteDMzsi9G5tLM+HVVnHsMtxkN73TvLaZ7PIyu7c5OysXapQR3EgxyZc0pR3Vgsenq44lUNus3B5VM5kcgCLlksmSjKnUXLG4TasB+2BkAfKVpTb0jO+iQAVgNZlwIR/Pawz4IScdp+gz07NulvB1dTAu8hE67WWd5FIPhgYHKZ5BTHZr7T0RckX8Kj23hosVvplapEnP5maTTjFfFrMPgl3rGtrd2/mZy9NqakfgwYPGHx4IzYO/F27KNEztcM7DklZO5OE+Xv+7cG2Dtc0tOfirE1d0qpd8cgs78TtjqsoyWTAF7rqPdeoqHtcwVr2pC1f+mX2vjKIn72IQZdMnzouA4wmCv4oP1gbd2/B3PnY+kSHj8oKH4TxdP/cjgo8I3d3izD1CVzlYAvWuuN9CuTPwKKfJGrXY5mMWEwv//XTUGnTQLugUYvkXW56uzTj1uivAP8bAUONqs+dRqBSOfnKS3wnSNXwDVBaXuw6JvaR6QMHj9uMXqV4/sBafla2v2s4/jn81RifTc0F+F3snsH8Ua7pGS4vMNsSc1aej+inifWsnC2SYefkzCaSkTfwgsBIX9e2TJ54gHXv3DaHVW+KVX2Au7VYuHUgzsL09y0Zeq9c4piIxaZR8qxsdWemNJiFp7Zn1zrUhDsebhzeq2Gw5HmK4c+ZGnh2av8vZyLGWe3yDR/UXrloD/Moz0x3Vwc9qOOB27c/Mvbnvz5TfllTCz1yioCVlQZGqcFJ7mB+hKJMpuOwRSqoNjxOJiwuz6P+3Uv55OXwNHU1mSYnXuobswbPdDCoUWurGCUcJUlRqu/i/OpRON+KHu1rc651mkNY10PNvJ4K+w3m2f1gLSa/d5N9QPw9J7e05x4LQb24As8wuXU0AWujHfDWJ8wHw2wuHpNDs4L2uZ1levaZGgCvfDaY4z8smr6pyell/FBpzdiZx80orylbIux+uUUxH6T2YW77uYjJxIXpWSwdYbiE4u6IQBNHiHE23kldufn5a80QmSB+T+nYvWpwUZN3p6wuU5EXt6wyPShpSwl4/SWA+bJW42ClA06BBa/w3jxgn6GwQOctYu4u3k0PwiwkYVZsx1RzDV4zIWe5thHJBcqfmSCvvUoYQ2YrhN/AG2DiLGsdd6an376mpnaIrimbTDz85LAOmpDMjehmGAfaCvWR9vpaB3ggqPOwa/qEo7ihehAf8+m356GLzdp7ediPnCkbn9WeCcxExO296xPweN+Gk2sETBN0RYog9jgI74GWK+1/ws8dGeNJRrLG0QxrTxcHu9sDrwSChaZm6FpzXoMOxm3UverPXwpb7nmZ3Gt7AB7RdW0nh7rXAR84SgceFNHitFTP2CXPBjwFePICuIIXwH5tILujMPWV8/vBBi46bVfwBLIecAgxeQ8xYlTF+//X+hDgk4IKmGQBbuzGVk/AE6mHS6B+pifQRqMzPxlTG9D6e913Y42GDfjZB4suDxqoHlsPh6HW3TtSmnPvpke7o7CTdKw87qDxtfdV2ZMFnsFOg6Qiz/cF/rzgke5Smj5x5FVtuCygLxLe264ad8CtSrTn5EEt79ZQ4HOIZW1xW/gZ39sS1g5CnYR33wRkqVdz9/LVI+P2KMBb52NitRHfpIF/qsT2xlzfI+eEtJrZZqx5MX/iMPSawN8x0d1ouP2AebaB+GQ6a2fSTWIegDePJ3awZgvY25wjT2bNK6HPrzN6mH8548Q9uP6iRr1TFDyoTXacddpwu2DJoaA4lhpfgT3jppd3FdlvytJVJRbaDsvVtPvKB8+HGf0E9l9yx77xUJe0BKga9OGPRXv0QTSGtYWjnE0c/NvJ1No+hkmlRqVNHWCGkLmfu+bCC4sAXGfJHsD/fjMQPx9vMGcQRCb/Li35kQV4Vw3kIkcUZujrCevjde/mdBRyT3tlZxT0FTSBA76oc2UfY/XdON2G9PgnL7Y9W/2UW0uo4mQHY0HVmj6PMTZ7iZGMlv3B9PKzkkfL1CLF/CYFcis2w/97L035aEt/bqztHQhnJkJHue6qLJA/ImxNjlfMwGzkY3eWoeqERmlhLXfi8Lec65RwZXq6Z9yCcQ+SPYDCRrnAbj2SNcK64Qg31vL/PYM4fkhruqliuxH97kGZ+qlNTRae/LQ6X4jWdvZxc0xczM9kxpGpcxC6iu4sTlGvXA08ugPf7xeUm/uf5H4cvV0bdN+Md2lKyevcYTJ7oUX4Bdpuv8lBW6Bju6p4h7Uzh4LBOreVaPrWTZk0PakuEHc1eLEC/s4K8Y+0rHNBb3+Y6a8zfj3ygfugjx+52QfqwTHarzuqN1udtm4GXMXiamlKItTondTpfa365FAVWxuX+Ed8bM9pj8SRK7salrERtocHz5YCON/kXJ+2lwLGNTUaUraepMaP2puGGu/xqokBmmVyyxy1Y8M0FRY6YMu2GZW85vkK6+CTaV2ScbocA3KF8QsVw3k6kE88qlu+InZEMMZM+zloMXwv3axJSF1NzR0orrmQXL7O9ZzUBX8chN7eUpJAnDi4rVO5KAQ2GBs9PGEc32iI9gXnOxniN/BqpeIdcCK2akeb3pZa6H+g6YluUGeLAHwY/XLk8L4xNcHy8vLSyrvs0Qr8DDEmAd0z/dS8UQww9211gDnUQXw9ENDy1k7841mdcyq7IvAvqgQvOeKZGu4cccSAIXLncs2i5H48a5vw7p7aF9CvVw4MeBYgHR7/2+ydSQNL/p5DtPbXih1yw1rH1O6wCu1TWhJZR/qt5nig5v05Sqfgz4FRunScfppAHXKLvB1Dj8J83VQMWw1qV1ruXvPQVw6zKodj4v577J3K9As9SbP7rwfQoKRQI2JVieXeSmD9zZPgZI+dOWMB6JuWh9S9QLzVOgu+NtjUPHlu6yOVcT0yV65kJ4D1XzkVEP/HxtVrHW4A2CqvDv7BesRvlHnhYeUeN/26P26wFoYV1CNphmmQA0bE9V0cVNe8RyHEvB8KHu5gTWP7fF8J03EREGAqfmsj9tqD1XLw5iP9sg+O8fCz6W8aVYNn6lUVrNQzA8ZQ487kNKUNJyk/sydlpNs73YidLgVDmEqdXLjTPfhaWXSY12OvVhrCeJ39a3H+Y5s7Zgk9su0EXmRozuQJOi6PKKn2jj2BbxzAP6Z5r01+wcBG4tWa58RGJWUwurZv6rvzJpAnHPCRiN1KA+Y1xfzTRkhXo2W3onvlbxzUCHwUmHuI26eiKgYNf4M5/cCW5CYPKiunmkQXiyKc00jeUz2ZnlWmz3kBsXEE9/JIh6SiZw36nVugcUXrLDMfFrcZzH4UfmnKW8Zar2A4KRj8WRf+0fwmhMR762EbYRM88YFfzDlhqBBEVmFHqpdRboF222g2dRxoCDGS+3eK0ElG3kGVoUNRa8HcrfPxr8/jLYvs2eQ+Y4g4GU+fYiQYw1oD7npymJOp8CToCJcuj+lpC3qmD4r+A//eDdVz5uBjLGAjc/sjTnvMcDnAe+R5amownoml7Om1vn5Sp8ubM7LIeZqxaQ8fSCe1tknj6B/4TtbBVpr22KFl59ZW5bYCm76UV+BKL33OS+7urkeY39V5OoB7Wvd266XismlLaefgNfMzfu3bLEe2fAM3TNhKaO4kMHbkhNfBa9zKBXauG/gZeMcfjLoRmKokYeq2Z+JgTX72Nke5BcofJ4uCAapt9VunXyH+Br5Z8DPJqzV/aSUDnXiQYXtLI/vGSlTwCJ0K4Dba+w/w46aGwZWyLiV2VzKTF8L1dxqqCxDgU5TVJre2H7j3P+tBlSlCHzTUda6T79RiwE1LSgb2+qzkqDHFK4ry53Zq4i6H7xtX45fdMusqzP0h3m7aUS+5OZ9yBpuXiFBL0zTEbjrqobFmU7vAeMGSnLYfxyA1+dwQu72yZvg7F397X7COvIMYbfAHck/sfzYOlx/lLM/jwGESAmdw32Ul6InLwUf6SWGrqBiSUp6lV5fdreolcJNHVDQBqXVPEqkROJ+QEfEUPDZ489dz8SzsSMFmnlqgAwwvouQlYV+wZiVqR1xnUeXJiNA0QBATpQ+UDX8ePerzP6sQ2xDWoJ1r8CyMM1jrIXgYH7PHA1j/DZfomzh/d8Dvopj3R6pmEaFAOV93Vcw9eJRz46J7i5Ag2tSR1+BdkMXhv3Oa3FQUWnUP/GTrRyPm2NSjZxbvpZ4yGrcuj7qAgldKA3xXwBEvvwz81VenGRPzznQia1fua9E+RZzcqcuLFnw9cZFsQP/ZE3Rh+FpABWCdgrZAHD5YKcxXmcDac45CuUJ3Zn/J6PgZnrPiPf7rGwjrOJXn5JOW+FFY6RUYPgOP8lkL715Hy2flhC5+vltZmbq/tQ9+e3bgXGpu6qIHMs49xZDJgypMxq2MwLNT9Sz6yvSs3bUOefmUU0ZRV8RfG1O78GATqwjf723g5zJWRWXZO8akD2sSvO7lKnW3gv9c6cf2pPrUgzVtCYHHItqsh+d2lAFzsuDf2vDpW5Qa9E0n7By+tJJU46xFL4Ggthq+pVOIFJh8uzN1gIGHesl5L/qv6+9/28k3X3ceUPaUn9WtWTXEE/LJoi3ElMsT2zovAuWa0zVTf/6/HIzXnX3Tv3LJf/vpOdPueNrGezu16pF8FM7mSWN4IwM+tKH8bMfk47CGVymSquk7GD2SGcI+0vCaIW3Jnuxqh1cpxKxiTd7U0F5JjEhzfvXLvnnAaQm2cy81dzQgxhx78uT6sqGxv7agrSkCTx/mjqSqUAPQ/fhu1Ro/KUotRbt+7yoIRsk3W9EgQmlqhpYyen9QmGpZnNp1yV/7orfq7AdHNNgs1Jcsut3JkHgV1VEdYdNv9tFaF6vt/UgE4SrYNjf9kw8uxnTcrrnTAe+h74p3MTP9U0p+B+Y5sN7k3Svw2VORBf4rn60noEiir6zW0QUJyL2yUF6YHDXH5uYeQMH9HJjTnCWBh1u+STmtEGdYbU3R751l3vUwNlntdj/N714bWTIGDGOhOT+HG86/XmeIG8YVazSBVQKuKuzC1vQpjf0pE6Qmvf7AowQvIPURdUl6VnnDYc6aWvymNmOp3Hasnhi07Rh3GxnkHuhYBZz3c2QTzJmLdYwvr9pH13rEiXRuLvAUJwz+TKQCiJkHU0cd4kQMHgJi1ZylXNcFmubfsyM+mXObn4qrXxY6lpwfxWTDWF1qpmLBpd+KZYD4c2Ln/MVsowjSRwZxgq3ttR0IzUdJjgPyGrFwQTHO4vZJwpstxxnGVXVY7x7Mxgh4Bqch6HhMKnO3Oh+9QAliHRH2Cpv/8IFcm3MCs5D/1ZwBHeiA/zemzzFBxPTy+oHvPcMc7is+aU7zpdFoyOA7SU0yEs7w53wnXVvH1FnHgn8o0MzCnL+AV+M99wRCGTU9sWzmHMPuVbfHB9YKsLn1oVFRUJVXY/cBPvgGvOsXA5myCNd8RNFvDerR/iiiBR/ZbMN8ubIVP1ubs8z0xh5TD9umy9nSwWf9sL77yPVuLeLptR/VAY+T+sxz4KQfWMNhuuJeWdVSxB3wm+2mZbWyMAFt8VwVelc1bL9zy2PpCH6/H6zm7MPaSpKjqe042BAn/Q48l07F7c7EbpM6t9c79PZu6AHX3A42+JqV32vRySZSQlnT+TjkVxHri2SyACYqcewXMrQ2Bax7erpdmVYeMPIdeIuCn8Tgy1NikaId9F6VwD7R/NmGy4sPPaHx4xh1URFDHO+/NqB5u99+APBmG9NHO1IuxOQL/Xi39tYSVOP03K/qu+i/TG0p66j1Ny0vLswHncObVRG7Huwvpxhvm9RlV+xcXvHwWZXDwns9qN+7Yv/AC8nNfuVVFu0WGhFbDl9rbeszEKVDbZ3tbf1W9O3d1Mc1ZyPABtWRmj3JyeTGAlNO8PlfFjD9YGr3yY/5ldNeg7dhBdeb/3KB26Vykz2o0CQFjC3X8cG6WTTCTu7i6RhaK3dbGz53k4Yeyim6gif5YaCbRXixwRP4TGzNmabM7U4cnOHahPJ15tvlA7nkvUqErlYSdjdm4T0dF5/DNM7Z7Z4P6aa1rJVqhFuaA1NN3weXDPmwWw92+KA6t8BFPDFXh4ISBNa5Vzz5wRHuWgviVbS85nwMjHQHP9RJS0cN93dANlNjekxyZPpdfdQreFREYhLppY22h6JEH8AhN86TrnATvwnfXeBNG9Z2UYzkXGn0oYR+skGamiheE/3VF0W5/eXBz2jNtifM1Foj5YDP2BHQQCwIlZG+46HapJY3AdquMpSPYuyirOyctOxw23c1G1VaDclba6NPCvGEaelKiqKUXVah/VdNQliLuemVCH4TT/sVPFPPH/ScblJTD/o5VznIUCU2S9vjGjy0BFIJSfRlKTal+YhuR4Q800e3YjIDTakaNv3WJjTn5mm5c+love7r7WSPy0KjbyXe78XQUfBxSxt6Ee/JCmtnb/KWGOIrHs1dl+HBBS7E2JmOIhsyEMOdD0b1R6PlTzM+7hBX7NRN3ooRZpM77So9/XGUCKcsLbZchJ3TDtuBhThimvc59TG8wZoiv67WLhQB/jF1vfnzttlb2wPwzRsrQDtNztzHPGCqhSzeraJ4v6vQBlaBmAwuF1jsVc9cHyx1rU+zReNkTYcvN+99LZjyaPx15Wypj+PXgseOYSt/1EES8lVd0hhtpEsK7OCi0rjCZ2XOWh4Y5iisq49aJw74N216rGTR9sXzJ3jODxVZazXyvHAUYfY05KWuTN8yk6+QD0lXc7mB3zPCWvVrRDbUAvZ3JcRp9DR6oiIyKkfWGeoqNb47qlR1EfOw4B0vkP/ijRTHKsnZdp+fCaizqopRHSgHzzGChxRcq8EO25DglKNvbkGs5ChRGtV1QHYsGK61VrYIgJkcVLf9Pw88MKxz4uSOBl30ntL9es2NLAPNgjWYchuPuZU/q5E5BHjV1IamLgqKOPFAP5fCBdKNp2vjDot0DKdMvXJ00qydS8LlcvzYFq0507ZNHeauEzH/JrE+Z6V+fVbEQRvw0F3ysftUIcTMMkEpMz0At0tukbDuVdhaHcWx2e/ofupA/dfzF5Ecr2SDy/Yue2bunuYK+OfgtqavfEVoktdD4jL6l1MRNSUKGs0zk0FfhPJ2cKai7lO3oJ0G1onFaZYwV74P1sauXRh/CycsltVRX8CzaWBXtgFPfmpXXptaRYp1pr+inQW/fR5zFu1e55U9Rklsemy20cZtmXmO9s6s+cEsmRBhJ6z8t6lKyQtgTa6laASaG365mlpu5DT/tHYHa2TqRPRYmsjc+XkH1pZdgyaKdffb2/b/z9rMPWxywCJZmE6SFnVPU8ukHYfnsZhjWHsZxCzCw2UvmLkHb380YvtdcBXiQR3qSIE3Z+BxgY9KkyftZzlLds0ZbUw9vha04sXYxIYxjrlsKXg9tgBnTnds7vUN8mJ6K5JzdxVacdLvXMEm9xgmgo/4p4lMf0fvG3zyKe0JrH7pUYQnrJM3YXpoObnH0NczjflLK+1qtDf5sO0bIfmRInJY8zsP7Ynb3UkI9U1tPOBx8ywoUJTpBdsr2g6eTC0i+erfBcOcDp5bcCIbGD9493VR6qIZkk/G7F2K/Nd4ITG0azt6qaDd23HEmzZAC47mGuIYzBW1qHOSMfvfswYWr0x/B3vCwNcBrEVPjR7K2OKCN5IpJyU9k5O5wwKc80ZLGKue2Xv7VWPhZpk7jKanTWMnG+CKN+bKHwb+IndziKGKtc5E6zG9V2Ny5muHmelTHCqY7/mzcDuP9uDdS/2T8tw9Bt2pFhu3oShpA/A3vItMvsrr3IGHZq8B2BthqeL8gUPbhdgxZqEdt+DMWzsJ6tO2EijZkWK2U4SmhhJKSpUxxkvl4FXFfk/MPVn7YmURz6vnnBNnknsXvDb9evnKH/yxDeF5NvD338hz/jk83214f0GGEkfFO+ALPKZm37nH2WFVIz/NJ+D6T2byJ4v5dnDBuZ79XWEnThFORcO6wxE8NBn0JWfgQ1b9yqkwZwknNk5D+9zGaZ98HnkCvNClTZBg895ZCKw1Ak9RxJibW6BPGnRmD76lPI4JzFfeg87ZDe+WjANfcHmnQ3JPTf9EGxST/uXpPRtnBtDs4sOafNaI3yWQVx3ZMYO/J4epJr97UpN5BnZkkjSmr6rpTy1uz3rl6MjRBKp+yootraPkZPROWl7djvYgBEkg5rz29GJlI0mtKaYWuzarPxY0dBpra+60/eBxi4ANF/g7n3TFiYq0hcObRQLeqXCe82FiOUcLsE8POtGnLCn4wJyUSVmEoC+2QkL/e33WykbtgXZZxcc2kSM2u5hBEZia/Z2TIdO73hZsSNLcmoF5TR7tcK8Gu6stvCPCk7UzF5XdbUSMrwrBmqFkVzDv1jr8Q0S45+FfjnSiAli7Gp1BJCtSyg/idIc6NHcwWmBg+C6g0bIkb0okn03vD3kfbih4GbJ2p6acdmnIr4KqqHUnAfH+2gDTQxzM/9fvDbd/Nfznfu9MpDC72g5aat4N4uzXQu82EAsoj7Z9NS4DBp7CQSeyePo8nmWKEc6KINmxaAt8NllgvCzwsX7BUGLygmvLhnU9mDoWduuqV93viPDuAt4WgU5l+6e5iwRrjBEHR9ulEJNPne7My+ktBd6jJU5rSoDRJocG/JOJ+X99YrYm58U99v438EjcjCavUpnCtGdTA/bPVzLJJVULjnFRI0ALNuHCqq6Ssauypx1xkp8ixrPpb4Ojh7lTp3EJujKmV+WAt7F9c3+ftS57cAb82atK8i83tSWscp8dnjP+/3coPyuH/zBrMjxzxbRzU/Rvo/okBL6+QAyvC6Y3LDa3GuaOcG7u1wOPJRuJgAdM144zDkxtP2zNB3y6AWOhpAH2IShdgDle55XP7OO2sFFyGk5uMQwWAz+XBkSamtmsT+rK1JYZdw6Ppel58azc7g3G7oHLxOSRMBog3QbS6J2TisQ72Ag8NfmsbHxjCDyGpV91OAsZ4Ar0eDnG6DsrMWuc1oOfUxjzHbZAO1aI6KBvx5h88Ci/cvDN9fjl1Ja3USipMMU3+BmnyNQdkBdeohsTgyPQsEIs/iHrXy2dRLldLQW89wF/tGxb1GdUKYd8pKzzzf0uwpYKR2oBf/Pdju8WDe3oeG7v8PtpQVvv2OMANMrkP/5Xgyby2O/ZZZDwwuSElH/9fMM6kBC7+GBqeQomb/gMDBl2362VADe3bkr/VyuHmxx/9Dw43g91v+wmlsAxeMPL3aPll0cRwuiYPsJRkgHzRPlpa9fcd1rL+8tzkOjrfkT+z7FnbhPAu9GI1eeLTWycSA2jNeAwH+YUeNQ7RnNBrdCiw/YOY5PJQQ3HAN3TwStEtDybj9udx8jcb8or0EEY56scH6+1bHo9lJVVPQX67fWbtx/ARn11ZZGWoL8WxIaa/eaNJ4dG40MxLgHEs8rUhixW38sCX4DPs2DeDKIcQGPVT2vqarkKdAJYOPw7ozd3G3LgDZMjCfzNGfiTTkVbR0ZoX5ScwjhpxjnoFF9p8G/JNXZ+awH3IP+c9+AB32iI3XYlaeOaeyyIHs1+2lpdVTSdiKtf6+t1TkfBi3AY589iNL3tfNNz3tT3fANGPhwDXbQcOMFSZQVEzUu9Sx3gfu2bXJsE5kItxsdau/mzLS+mTvm3YheLaWxqCb/yvhzgaJSvwHS275FY+WaOKSvc5M72loOC5EztmTO5aW9690D0GtGFxrpvAx4qB/xEvFsUMnupoI0rLxpr46gxd1pqas9qp+I4+LtPNNpv6dD1RpPTMPfAS/nVObw3NqHAVFflJroOlwJi8BsQgNVQ2YkzcoANPcKmaxaxR/1831T9DvgwfSjxuO8tPUBsSvau2fuaXzXuEqHlIQdOOp5mDMwL6wSedSVV7qJP4AtTI8wh52Gt7NTjCJ3aodOgFzfs7pzjKGsSJBsRbu60VM901augKJamNgQnH2yoXHpmr/2o7/1qaolvHdAfeTxtf4CjzhjiwHG4mb2hLjU9TkdETO0lYLFPEUm7ALqmjnfItQIWZA86LFQx9WNq5eFwm/GRX6XePaWzWffO8neXU4weMAHJ2Fmn8B7Be2y/Id4FprefXHdPFbB7yv0THZeLOoOuBt3SBvgK3tZqzf6NqXHdf60cxhviv6Th9kZgjGWcYDba4HK3L44qG2ZqPqJvrKe3gpt6ZY9HW2pBStAUKvO0JIMw+fCrKoFfNA70hVioYsEXfKYuauvxAB2p6dkXhdPxViykBZ9ecXTPnTlNI/tV29lO4TllmFjAUr7ieGydATwNeByxzcDHcvCT4sgUOZYQZ4HdYR5fm3BrVRb5AO4lzDK5ddsLrMtPo0lShzZ2qoULiMmh9TA1Gl7PJTWa0/7fg6N/XmFPKfj7OaX+gVszkBH6TM9dVw+25meFCmd7KMDXGoYQJb8DL3SFMzh1iR4t+KOWzfdKLEljY5+dsYT5+5sH+OcdUDcQnqDa0Vgy/Naa+gXnryVD3NyXG/fPbZdTbrGS7w/OxuGajBJYGfNEF+AGamBmFSBYt3qpHAnG24d5NH0w44kDWdAI7f7/HW4T4si0dXkCjMEg/qzYJloIU29j42QCWaBjyzGaOtyjWPDdvTA92wZ9LRx7ZMDfUk8b8KuuOEvQgn/PNrLnI3jPrJiptP3T3zyMp0yO/LsIdQk6dzLnawfL4yyafv6r6Zk+sUOcIvK+U6q6OrQhorUe7mWoNHHZiLtGy7gR7SONugePYX70ejyY+uBjkuHi/a82Cxi1+1G0HqxzRH/zY9RTfLyDJuXrYWXPYwke3OYeaHDCYM6rXg3UHsw98KIIdo8aSZMXPhE3sVsH52rc3tmaWqnzuIIPjOv178w3Mr0CU6td1SrjetD5wZ3OoMe96QPYhMuJnuWsTu8LfL7VljKnH3NlenyLaDvK85dTneaZlHxWmj9loMETTgENwg12J+AaOR4D/Moj6kV0cfCIQIO7DlzFxtSSBMaVwEIwx5OCMXQquA5o6TMa4YeEmJFFU0xGvSkov5Hxdx9vMfsCTewHzOJIrgR4cUpAQ8+g56+1vIAnN2d09zrcruYOtexDoJnbU1oYhGIRhQhdPqAF2NtrHJIRiPFSbCtc8qI2NVwiZHrH2zXMidpSH8qR+4wD41kwxmUKepe//LLpNgCMgTciIMBkxMotrlvWLjiE+EP/bWjMowJ8HbhqlwUMWL69Z6HXVePOI6haKptBPJ1H4BDEzyTNmPds7WGVjno7luY59etuIKw7NSlg58rVp4PT7Y+ndzt3fvsmWTBuC/xbVsVMxDl58PMEXsn83q4ExYwKW73VY7XmZ+kBa9/xc/smR+8NUz3DfNmAR72mz9c8nJ8Qr7JKD4/i7JPfXB3w+BL+Za7OARKrXGAnC4HLrdzJeFKnWs41aEo1bOxGkJkbHj//Ay7i5S8blj7ES3gGCy8N4pOpjfPyyyoCzwOeKxfbjojObs47J3cSXjneN9MoywcL2HGZMHBYDfxxLLusdhPwT1938IDj/zH1rc2t6kjXf4mLSW1/3AQExkYOQhfQN0DUJiAwsYmN+fVvK2ec562pqTk1x7FB6staUvdqCfEzh/cFzl6CxyWAv3wcq7I284an5FLz8Pec7Qgci3Npm/NgTJNLM1o2tRMpwnJV0dJlOokAC52bEN85w0bz0mv0v0c5dO+APxLIP5/c5l/AxTGJll3tJgG25KOxE9GEekiLX2yTVTSZM8tzWb4Psi35ajYJ9u6TbFynskCoCgFNcKM3xM19q2RT95EjaWaAybpAXj2qmVuc5FRCrFkmSTsCnK4DnOWZGQzSTn71o84hPsOazXzTI45sD2vUnbbQFj1JzOwADnygtNRZ5nsOOGWTQRKYHh9uk0smvM7cBqd9B7hz/qxHy2U8c09OQiGfHVIbRRXnrzkjB0z9XPbArbbkkoYXt3GkiVcf3NFrzlHOhmYrjYZBvgdeOn/kVIW0B14XEsPzbMOviAYs51i7xsbZyZmHakps7uw/s17x3MEvDPB5svYh4FgvY9yT4Z8dQ/hNvAOm7tN77cw5sfQDuIpbFvydUu6SHn/iSJPMxZo8b1c6JjHE9lW5lxWzvTlnYXIADqLVUkXZLhO3l4bJFYfNBuu8wToU9Yg0Dfk9BbIMefrIxhXynW2l+Z+r7HHGKJfA7yO6/bsCHgwFINgUGB7g36AcYL8nZKqQrkzMtKUdk8XlKSf/hdlI3eMvHM8VdiCuBsBKRbpjmp8km13W8zJzHncV6yxHyZIjP28KwPpD4jOnW4j12MjWfR8tZadMmZ7hQfTIzc1ZpdPFpCciRa+Zd4uNLVMbxH0huisxvmgtn62W4IsyqIBJVwidKjR3FKEA6y7B3D/W1t7CsMcM6YWGfzzAFiEP1IIB+QDuoGfI6ERosBvAzP+HAVKuQw/i57GcEHyHXGvHIzxMmNFjYUwBLlLm7Ab4EbbayD4SxgkdTN0f52kI78oWu0VshXcFRt1YGe8meM/QKNcenW4tB/W6JxIp83wZ2p+19X860tTRRhVPt3z2aYw8oyPIAQvDukg26ouZnyijTkJsvVLEUR3zUxV1B+4sBWA/bbRzU0EqgS5PPtov/lU2vbmPN/M+1XsaZTY3c6Gc7vMEeMxoaudT1zPWHRQfXIKkX1vLkTqrpgVwDOBlR8c2WnYQ0/Vb26dbHlpGr5XD32+pSyD+rL89xazA/lmot6bnx3Z43Fmcmfk9u8ZoZPfdjn/+2WU6vZ6pPufO+iljBvjxn4uj3Zqxrkz1Afgr8nGfAH7HM9V/V1mUG2AWo6N/r6l+9X9paqkI4uBQ68tW94Mn4d3OgggRLqYndIPAlJNJ3XIrKYxWOwFempqaB0oSiGEbtnb3rO/OkG9PaXRYwZenNuwOwH1YOyxmtuXrHjZtNsN/vZ3a8CiCwaPheigtqbl72LBL4nM841b7IayRB1jk3r7/uddMJW188TLdWcCnD0RLn0a7uxhJwhCi3EkO+aZmwFW86mXwiwHEboctpWG9zgLetjUqIyK7Hzfydhbr28lCECuS8YzAV8Kfng3CmAX5jkM4JtdqQw8SziXb9Af7uYfh70RALhKH+zlGzzpIvn9tg2rAPGRndOpK8E/g2h4Vc5ptErMe8kngY+CsNnPsC4uGK8SV82kj+Bz7D2LxvmL7awo+2kYkETEfId5oNeiVDzeIp/xDhstLWyyTTrfJwbpWqFuP7jwYXQkWWncS47mlRqtPM2zNDvhoRgf7yZybJTjwZ6OtwnWhhJyV1pg+jbZpd8dRswKHMRyJSz47OVKvu2x4HmAVrgQsgCpMyWftXGzmophPeGyFMryGADaPswkwQUCu50C7GPaljoxG7wFQJ9lof7i2PfPq+N9KJ4Ol9Nc5QCgXmgnevc4PhciXFVv7Q07Nc5geZXxrxmSU1Gh8lPdqmA9gY11eAB+0CKvG5A75HZ/sLmQu0RUwmNI6bA3lwtSbpCOSincFj2xdx3/tJuavc7Z7Y3QiYZ2akchcwHcO/Fxv8qMaiJ+GO1PbV2L6706t1Wn74cGAqRxtbWXF3BEHfQCcqPJQwfc0XhuhEfLOQxYqrhlgG+BL5fY6B1gcMWoL8NITOOmOij1wffujgT3jQ5LQQcaUqqKBeEiAw0rgH2Lin/h9eZamJjxAdzIho/e9HV2+QkZjjZAP7LBnHZemD8ecLr78Czh9ZioXEjKgL9OTUgPSycc/V1NrQbdEQBzcJFveuFHAHqTp2bqpMbnhrfEauzuUNDlVzhpW4p9LwL/PjH81lJheecIttRqM87/fOjaTH9Bo2HKmAsIkbsHqpAA4w7IVcgYFrvBejljzzyXjvfzmAr3l7uFeculwBwlKkd0Of9ZUd58ylBNE1AKHf57gjZvp7yMUvbComUXwTCeigQ9HpZafabjea3NZ1pO3imLwRaPNIZ/E6Pxuppa/y8U0S2bPHyljT87nz6MLWBDwMxvZ9eQcgEfJB+SvQ1bIaz3Mv3ejIgxd4CVaaH9sIuuJmWdldvItRPJQ+VIIlPiS8jJFyRfsD5OhB/krKdnIvzGS5gZ6Uma9WMK5lsUZLLBk61mJg1s58yl3fnt85obKlVrDRmxFycAfxPG62i7v54BcIK+ZOaM7CrktL5SkrPMEwufS6s7UVeSc3zws0FQ6gK/RfCCjfTW15RQ4MeTvs9GaT4d/vzkls7qAve9Z7ey8o6M/2vCx1WYmBPC5dFyuZAOuGJZWxlCXbf6hGcsrtecMlpmWLu84cF7giF8k8vQ51D5gSFwxaer1egZYIu/LFyf6aiJ8ATxLAKv0YKc7QQHDMvVoJ9+vGLmSMNlObujAuvCGK2n6XJpw/602n+IIdXWgHRl0QlndB6yoX8XqAe8qzfmpGDsJvvLqr/RS3vmNizz+3JdnhKkYCMT77grrFLe9vjTIBzxs/F1a9WD6LYc7ZeSOgc8zu/OOG8qOLr4RtkaZ6wszh41v8szd0BUhYMpCvvSITI/2hTszyjY1pgKfGiTBBv1HDjyhcZauYrhsKT9QPW/1CPkHMOoZ/YOcyL/zadjVEXuWENPSkXeUIZmHiXsOO//oeG+Ap9bU6l5ruCo7sSUHv0IMfBqdTs7uavrFjm7yfWb7AvYM51v2ZJHOUz5riGEV8AdMmPri2ncZxTPk7Iucum+DsUSkvmmBWFrInIfeXLNh/c1fhdGmSUop7JJF/8NRRlvMTS1453cSAUZDvId8ldfv+1s7aGHq+8kkA/CtUzlqfmb4QR0zA0jemO4K0w9QW7CvBX6X1mv+181WWtLjc3/LnWyDODnjmKcifIBNej867Kw3jU0ylmz/NGcejS5tMvzZHa3kilFCZJSE2D5sVY+OCnV2HgJ/KRDke2xXgAGx+L3j4P/Fu/AO6xUBjnDrIX0qO7ue3/dB88PzE6nG3QNbD7edlN/0B9NDcs1R5qQDSdvxjwOc1KebutehfawH29yRHE9uuRltYwXW8qqrZIAvxGhXpn44BfsB7rEDLHQnYWhqlyBnA1+Ywmtr+sYY+ab5Yh3t+UIcbZPn8mRFY5Ho31Xyvw+w5xu3HvfaRru2QDizZMeEfJ2lFO3nPiwd+ahF8zy/Lxus83c9esAL8A58taduAjgbMDGfh9LaD/VmdDLtJJu6seHMBbzj81Gn5i5V0WSto7kAjsgaRoSZH8z/b5bEqCYCDH8PbPDipi5g9wlDHk6mc/x3zd3uIw2I/9ODMqnY3Azkzp5AzISAGO741L1XInxWDmCdQt+VGcUX7R45787tmDptQZ6l5q96tlNqLUZXQTTRwo/O7lG6qgecN/zUJNlJTxjwqh690V4C9z08zjG206CzWuTfRPH3mQJOPhfz+5klJOUZvJddAf77hvyxM1q3pn73f781mNmWKcVcjPjSUth3jSdikzvwIsJC740MBIvenG1hyNd7yEsdxtr0wXY/vUvwLKh28AH4sayMzlMhK4M2f+59RGq6d173ldc07jAPpd9wH2PaCc67Ex70AfI35GkJNMAP8LAz9QgE4vxHHjQQ93/u8WMSJY4qMCYRWwGTjoAzYZ/+OM1GjnL0utT9Z3Lwq6Zio/E/WwK+liPwOaYusPYx4AYLOPGZxDIkQg1yCF02ej5wKwBLxNg6bbgsmh7FjZ6HvJdfIkZUuWamYGnXVC5NCLlv9KpUrK/+5aJhc9fo5GR0Vc2ZTs2WHbPAL4bH1dQ4Y+CvVa9xO+wTrFWcRuEK73Kk6GK3AX6WrAtEoI2G7c30GsuBLIyiIx7CNQV6ULJ/r7PKoxJLB88+ZQ5OcnvYkSh7VOjiNK7RUu08hZhzFslKB2VVvV+lhfKaojP9gY9mtH5mgP1Xh4JTtkFenZKOQIxvpu5ZDuWVx7/3RCQN9xhynassm+XhwWJhaLHRBnDjD4r7suEoAY52gBi4nWxu7p3WFOIjH0iZj/Z3NvHxZOu0/FyuctiZWs+pCWVJpgSwanYl9q8dCtiZe2b087S2VaDfzhHP82j/VH3mAlL6rt73E9MoypzuWYVLTsQ+zR3Eq+f+s2Ya/j5h9QhxheKUh91nQ4efHCO3dK0G7/toJy//+kwFcPLJzLqzecsUy2yj4wqIi+13ZEt3As1BG2JRbWDzRmc8XI+Vq0c52GDD8xtg37d20hRT43eHrY2lpQbAZT3iJwfldfzSxFgu8M7gG+GzdA6AUzOXaj9uC57SHm+Az2w2kLsSf2zFFODu3RMXvl1bidOG3jW1/z2kTq4N8C3wvbXR6gjYRdDnQs25Z6lRmQ2/9di4sZZBQY4gHDMclxsRnk80v3KHHxVgkCqGtY/9qtbzhBnkq8Fo+vsfkDueZLp4wGULPKrK1MO2Qj6B1zsE8TNH+KNylW10B//nXw+jcyD1v/XM54wy6QDWhmf648oweWu0DiHHDk1ETucYOCPYh7KQdUZcMtqNsiAld2ditPZqy1oxQgQwdZbmyxtF8p2YOReuj17noizCW67/uUzMOJ/UgUzzoY0TLCMPCUZ2ac8n2ie7xmUevPux4kaLputaxJ+Ayk9MqABPZl4SL/Oef5csOTBnvxjsnCJ9ZWh+naVcc042HqkvHMkQ8OOdD2gCnwab22OIOX0DeAawA8DDv945UJiE2GXA+WSB4zSAXArYqTE1CGiGz659DStaOTur6SEuctzlbH69l5sP2YPZ+paz5cjCmQOG5Hj44yrAIVJ4FwwrnEeLmb+yQZ66crZcGEt8UoT30099xp8HHwdHRH/WTPx5UN0Jpv95J/vvPd2Gu9SvHrqbB/tzJ8P+S/XN9cxxRG014V49m3HeUmF7R8ixzcQ3Znk+z03PJ/x7PdyVmZQNBgAx91RH+4INtluL5Q3ywSqGBTGbQwz/Z+YxvHo5o6xQJ8Bfa/v5x9yzhqwHvMUJSsOOM/TvYWyqdtDFzPstmU7ht26Mzwzw2bmd/q5GeSJ3vAPgwx543fo/HDZLp7Ek2z2BI73OHLJmkHmFzDxtGbQRkcTpfMwWjNm65dMMXNv4MNtVATLnlgLwzxV4WH+ypCY2gJC4K3JnpRDzhRhWwMdGZwtrOQHHD71KCe81F8YtufpuYqWzH91af6pYMoEPw24j4J/7LbP9pyjIjtv6mUf2Lg1VmlloOEfrnU7dV/X+5w6/aVGUXtsROWKSOTX92YBRcsas0rJfPeC+mWlcFpDj7X/XEqDgmSqfmjtjqwsryAsNRZ+GNzX53k5ZtmGxfCh4mtrCfkYhLwt9b4R3T8VtZ3RdsaV2jZ094DMZ2OyM7flVE4jb/q/X6sQ286RM70sNfO8smAU4PhKocUyfN4+0FFHSAQfblc6c0DipsNUtqki8tLg45xCwiUXe8HBb097MlyOfZAxtNS49C5LX3c0AvEAAPv6CfAE5XKdHt9ylHLgek51EPsTp+cACsK2xvBOjARiQsEXKYAUi4+4A7+nU1D+ZfgRuLVVp6wMLHy7eAFGHc3VmjxfXu6qIO+CjH2YuYBuq+xn2Q7zvr3jirhw6mwAXaMwcBk0mEhOj9XIF3rurN+TSib9lbvmAWFMQZzB1TR8yTg7KaPABNoPYM4jIfmmL/dx7ls+lzIH9Aw+suAW2YfuHNsIS4kFSjWuEQ8UB4/gtV10Trh3ekoD9xMElSMHbsi3ZpFgv2JUy7YdnPQCvCcmBGP0267e+F/CmsinPHuei0zycrxiwM9v+eizMdpRqt0WpC1xxKq1EULYEdbSkTJMPXJCcR4lrzmbTAn4rIlnGundOk5yGxJzjX2WQbLX2X/7Fqk2OLE6fDeAK2ZNdPZYbZeVOhdxghYqOdijdHw0hAvHVaTh2y/y2qyLvuxp1UNIf/eSUjoBr+Lzko55qttvyCD9TWBep0W/vbc6SVW1JBJjzmwZ/ncyy++P2b1Ujz07bYGqHdB7zCiLuVtoY4lFyyEYUEKO/HXKj95dLfnCkSDQF7tEE6hvHpGoKczdlA/6yfms4y+HxEAG6iXE/kHGPcg4cGfgTc4erQNriLi5/8hsjPuAfTOJmx8MlbsbL2nB9lwV6QJ42uFVSyBhC/7Mbx3YahBzsHDz8ubxqRa481KiO1JNbM2DM5JZHfAUMdOJgb2ekBuANExdm5mKywxEAPseL86L7gLh7gBy1U4XagKtlre6Aq/HPGv2zwPcfubVA/NcdcKeXf03KwRkVs69cZbBbABzDzjg6pRydU7sLTL7iWn8AR9vKwbYg14ItLxPwD6Ssech446Sw3wTwPbfwjVooIgWxWaxLbK2Qo35nIpueSszEurIQsCiH59y6o4T4K6ZOM1uSKpo/z1H3UaHEI9bNbU2vJYJnsYldacD2vb9WmnSZm/zUe9DQs8RE1pz+26VTCjioXF/5S0G8KYdOmp7ZNMbnlvsf6aitJurybNAnPhFhZtERh1i5VsLUyBMhRT6RMqOKSDrYqaM/FC3vWPtgT/jBAz3wnpzPAf8EPP7ilX7FJGoKnaR9oiVAulp3JSDuXTMOWxvNR7Bp4JzdXAtdGN2KXKCPpuBb7WjKN80JQ3kD3L8K8TsJPZ0zM9tDls2YXqtxNlz2V1MXMP5DjUnCh4TWkY4Ab4C/qHcpsFvZgOKcTgJ3OePe6LIOHmAM1obreI6J0WXSJ0BeNFo9wFCnGjGrdhbgwDostd/jwVuk+K0l7uWUAAJN7g2zj8xC/1+/JLvLiT+4RquM8CfgHo9N6a6O1kQK4NEO749WN5aWzjgw45M9OMD4TzQGHB2lT8gNs+ktF4ATfrmDhudD+L0NTK/94YGFPZlZXtVgHyBHBsAb4W/sIBWWlVtJCLH8XRaH59EmV8AHTtOXgDE9mrvIJyPqmdWdU1PbbZOzqTVS77+1Ipt8v61H93Cng55K4Hq1kxQU8Extq+82TLdsI7KEOF9yGQC/u9UMTYQTXsfzzOPL7mT7+Efb2NlPTYQuaQRkzp7XOt/Lo3Wx0hD/nqU0DPghBX6IZFSZWkTj/yGBz//1zNyfyrk8GepQ+jNnfk9ZD5hs8N4B/y5qw0lWzE5l/Vnb2P/EjHs5Q/cz8N4z23u523j1/50fjnzCJBt4zsbO586yqB7p44YvFVJ5KewbFyZu6xz4j7mrgZzZIWXu/djyjZH+wggwDvDz1NKutNFg+s/4II3ukum3ykv7d/7XO0e8bIukqxy0Se5DrFAuxL6ZOPuQ6n8PzvjB6KqyQnUylIiwLgQfm7OpOzNzdxrZEfi+kKN8qyMOz42RucsUgn/RYc/EKF99HI/K1kB1+anV6JbGCcfjCuvqjc3YnbmN4pNln5qNf/KBX0q2/8oLTdrPZcgnn1Fnbxvt8UokcxUB5y3+2hzei46cpMCxANfNgFH/l79uuzxIRtKHHuRYeoZ8x9nBETx8niPIZ+7l2TJ+pWI1Z6JMDfYiQq9UrHvDzF5/dKQdM2epi1hQPvPx304CXzxtsqsCPz66zJynvOqjDu0QeiyCfwbGSgX5mRcmQjOXUn+eUUfUNI/S5MGRTDKSXY4QythhNfN7GMR6ZWX3NgA8GK5v5/zm0AFfTluiz7z7Prl/bTPH9ff8EOIIfl/y1vQhbsxl1gD8cq8xRQEP90nZ86Qe13uuUVzy4ZmHPMGC3IWeF2lmd+iOlYN3wwwhwMQnbPsfwDveyGTujYBju/p1tpy3gFJgzc1zfecmN4SdNjZCB2JmsLnZYGY6LlMTJwlFze5csB2hGjgX/Ig2fdS8yHnp4TCBiFVe5aAy2XdJOR5MPxDK+KtP6ual74D5hn8biRobOOgdMPuhtEIT33oek6PIl1sjlnuLhhXi/iON1ge3OTm6zR3wE1Lcp20EtgS+XtuSNbAH1QiZdlBJCbm3Atz86q1gEwfnXCl2u482QhQ4pEiH0ib5UpaOApvIdpALbBp2X9RNpjpciyacWT4uIY21RzTuUosH1CbwjB4/Wd2uBj5van5V9J/O8QvbZELdgV98AFc2swbmo+3fgYN2uX155r1CHDG3Hfc3OihytFVBXT1Jt7GO1r4E/zo2UQbrKjvqAJ8c9zItwI7YHP3E/unf/Vz4rzvE98bMrBntB8TDCp5z4lTGP1rBhmHpFGI9oKdx1SdX2zxajplDsnq0/9NnjlLYH/1hNHNooMZGyI+6J0b/Pind8prH8xfrD79zYSQ3mkbdTX7+uYOnAK9ar8werOPWTdKZL2pTXy396xqdczJ6AbXmDyzCR81mCvF/YxM+m7M0c1fZCgLBtHmWWnV14T/Ax5d0ItXL5s2cI4IgpBVge9N/c0Ne95U4/PMw+jEQ+4gI8ZkV2G6i5VZH+FpF+K2eMGCBpKohLjahlMdNxpgNaz7Av5/8EFjdlgP//K1nE5c74NFj7aIrDYHnInwlIzFnfCcVNLaJX40zxwypx8kii6DIOjnpTgGHzLfEqoFfpb2fA/dN80kfwK9H0Sfv0lE4DxMi4r+v2lStHNv0OnBpk44BX6KDB2uxAK6z1xL88GSDnRfqzHki8sG+MI024BkXOc5R3UtKRQI+TwBnXGyI0361+TcVgY2E8gwYzcwcf9nhCtz1KkP+TbcO11NiePj2o9Ul0A1Yb1exvU0Gfm04qagb3kvA0802PJnte3lon4E3nIBXI2pmHAJeJLF/hrh8bkKIG8NM00i9sA2ToQ17hdyq529ytAc5sWvqdqd6AuY1JUfIEJ0Y1zLdIJ/1DfDrgyeK5OPMbIojtZyDwxNw3iMd9FptOjU1K3iahUQH8D0eEf07W2ctNXB/8fAgjw18I0sdcGFmtwK+MbWWKQcfyl32SJ0kksgo3aCQ87mA3zMaJLs6VG+5s4rc0cd84IMCbmfqW1Ik49Pz9qQTemnq7mS+HMWE3jDEvPRz77VU31rkw/OZGWLAUwJuzla3c9D1kJe/CKBC0XdLOiyhnCCmw87DPuXw/2OBgNNuyqEFYHYbnYgeXDJ1r3ltYxXyC37ugRPYDqMKbHKZgW8dAUHdhJiB0PGiAn/KmfpUYp7paPoBMQK/RmRAiEUK1eOfuxrZVr0vDkPkM7WBDESXXTYBR9pe/bA3Lw/CXUq7s+LJvaK+hSH/AeYazoCZJOqKdEMaR4AlnC6ueiQk9cU50Dejs6U2wG4ueqtMT5/RSgf+QqLBojHEU8RhadR4dP782kYDGLC0moeKyQT7VPI+MfMezH102oY25IQkyR22q2kyKMYLKR6AuW031alLtH7k5kw4GFzJu6eZT9oKWzCnI4AlP3PXT2EvyQtv5CGegX99MaopCzqUT+ouY1+aOjK5aUIcdRGj/szE/EGjOZb25VoW3ZVYCGxcDW0PGWzElH8uVyYSWaPLToTL0AbhWnE0Z4K87gIQ4+BTAb9xwGAi7ApmawFrNTDIKtTSUY7mO+e+TAP5wEMSK+eyowyfKMTy3EqtFDC8dDAzWrvA30+SeQ7k4rSi0hMDmY+W9+Ip4NvdV+mSSzb8V2NLuOnJS3LpQv7UJKisFTU2ocSav7LeJzyQlmBqYjazRQR4SmBOtfZqm2BT61XSg8Om5Fa63b1y9MHki//9lkXHnxnKX7LXI/DmO4fcJScSUOojOmQrL5pHTglPEbcg5gUp+B6zSq8Z58902Ed4kM/M9SWZQqtxzYxkaSuqPRxhSQtSYCd55RSXID9rLHvgEAdqo2UeY4K1uh9dVZBwWKWZd9art5YBWNPNWo+z1wrIeSIDvDCnYA93wNymzswWU5IYTaIGzTPujV5Z9wWc5BV7P0S+t8wd5slNOHtfhpOVuUws/2kR9FpKk/9GdgX+eWr7rjozy5wbPIRWmthSpFRdKlO/L/YnVSRzOrI74IAiHbI7m3TPp+Q1u6qntr+Wo74Bh//iYvlmbgL2qO40gJxMgWcBllBFaLUTLtJYXsGHdhCpKsBsrnrfaxmhW0n9nsHn29E2ebMX4Z79N99yfZjz4NdvpdbNxqZH31WMWarI2J/1aEn7HA2etGaXAFcRKMFVzB3DFQA3uelo26eNf8n8z5XRJBZChhU3vXnz2xl4CumTig/LPWX7A2Xpqy5F0hhfVNRtbcGuOcOmrmsD3ulUvX4vN9+utmSsJ34vneVNFhJX/b979bnYWBME3IcDl+EY4hnY4kAgp3Fx2SBGY8ixc4sUqePmVcPZNZofTK+jCMFIxuxxjvQtG/V3zbzB1MezHrAsmwc1QlaZ9BF4mumtZj+zxgufm7rPxsIncFsG/CatA/8KGGFpIZ9QPZ/A1l6/lVRs/oYXtoQw84n3Y7V1LgWOcI4gH/TAy99vrvypI/zB7BBb/Q/63L8Rbeai/3VLzangOGfmrDGWvIXoLwGfUxt+D7ASFq++7Jvpe9lhy5taRB446DwB/ArWL+ZBsoF/5Eer2XJO3jlDM54yux69XROFd7VpS8WAu9wScNM/tw3+2Sd3LoEbZIBBcjzqHA/7D8Cpr7hxEDHkiGHZBJOEiGEH+DYFjv3kg/3kE7rInztBUtYh0CwOSBaek08khpy9Yo6fZyF3LAw9CfkCOEZfueZe1wuFmV2uwwfEo/+7Q0T+VVFSAY4KU0poFWQuZ3JR0T+n1bOpIeqAKwKDGSzpZncZWk6DfEBvF5eKOWAUZUJ4trSAX0AMAdwhK4jHgAFvxJWoGtcXtmE04h+mto+MK+XD/pxGu3uNZs7Nuwn0VAV7ZoOZb4RcWmTAR9SltnGc2z5noRbZ55JDXDzWFnCe0GhXNiu3lieODdbrTjLwX+cAtzbUMnMlg5w0yXHfK1sfTR17VaC7fO7HlCJBWfj83zmf6Qc8ZdzMX9AQsxMzEmHMxvRKou4ui/Ba88ODBH8hJ+wPJSNF2v9itm8mvGO6mfnzsPojP4Lv4nyQGPiVVOH+VPXqs6EAQGxpNJB3eYyfgjYOHeWpQfDsFK+p9uEzCcRkfC7FynmEZzWSuwJ8Td/3r/wVlIO6MmfuRDw46ZSA73abimeNB/zJxqQ39YMpV24TzxFjt40j8iXG7lK7s5ZICbYldhPivqbgv8L+YD2sC58J+JINecbY5use1q44Xs5MOuVoeeCTQUnRo3HQF2bhlcYzPjrqXhU4MDrLxAHfHGeM8z0ugRMBVi+PLpkhb99goR9Nj41WQW+wGYfnUJGC2MjzXyyK/JkBHxMF39TY3QWzP7gDDjImMUUSOB2854C2zJI+LbCfMl3xELgxh0zKzB1O8siHRFYjAuiWOErIS2pqC+yulwVbsaVe9fNnWQBOd6UoxVw2kGt4mEyUIp3pZGVh4jUO5AqDha0FsjO2601fqeiWliZFWyRJNfxXP5XrOYK/l5DHu+OWWqUz2CTw3eOWvM6IUrr5H9m43OTowXMhO9/UZyVm62cGuUs6wIV2M4U2d4FnF/yGY6MDyh6wb59So6+s0GsN4Ljt/SuzlougP/jX9MmibLg9mLW+zoimFLCRcpaKRHvwESz45mvwzxJYJQM/gdiIgGt1jypcJrDRIR/UO8uXUIwcYaOHOwB+fF98wP2LAjwFcSLiXFl4657YQfd0JK87RNge9V2C3cBvAi9KUgL2mhb8zkYi5DhcBZuTpkCXzD6sFPAVYF6fDuFKxR4wI9hNtNxr8ccmhYLvWL7MbB/IPQ/Yg/dsWFwl9MdvnHeJYEyOEOzMrEuZWzgk0fysN5JSi1DK9a4UHqqAGeVuEqQ8iZRDCJkkxEjdtb3Uad8FbZQAbvOPjfjj5iwzGJXDZ0RlvXQPbhbw/F0jbivkJA94Ims2WDstSzLYfhsuDzYsRgMXMJi8w/OcYJ212rqPalNX8Kv0HF5W4FQPKYw+Djc8NKEBmfJCOdwC3ACY/IWjstHeNeCjdPt3bwo5mt4rU+PK4HdEpB9iNMrq/KKsnVsPsgJ+6f70mIgFV0Zz3ZUFiW7OyZEVoemWupoZfZvUxd9qlIRPwwsD3DCXK+xhZM7fakQkR8n3OVC61uQ7jy8GA3zk0WXL3fmRgkebO0cWlXeCQjOTNAQOfq8djTMqP7LnIvnoGV6zllN2B9v5Om3qlZe/8MZz01OKg8xKg/RKOXcAE6J0tK4i2qM2X9wGpXcWE1azi+kD3cH63EwvQwq8rjHnJxuOM4FWEaY2tdHV3P20fPDUO9hGSKZXXm6m7gB7UxCEc7CbNxWkz6MDduFIZrSpSOhhHvy9tz0HLgPYBvIfs5p7apdetYV2A8GCmD0WhzspuIQc4ec2wEpzxhWQ63H791svmoKrN5pMGQU8GDCHuWQUn7c72OYXHjHE2GQgHB1KKwNb2Jvzql3NpUeE92gHc3+iRogrmwxJDO/nASZ9r6iZSWtXrUht06P5v/dysNAL8ABzZ+iVk8LgPxUpkrUJ9aeZBdYY/VzRfVOxulSrDnCGNrNH8mh5cOB5aZwI0eMjG+wo2/4Cf5WOYHsnG1YN/n/JnduL690AHS+1AI4iBqcu/BOP5wxwva7HfxaxEr+ckKk7m6UAnsLLRyXskAnTP8Jv6fhvy0VHqnBvzsqZ0UX4UYajyfsR4iJBw3oO8EvvKzd9fMAJgK8PNvhQf3TlSh1T99fB+6NrvQGmjElRh9lVbUjwUa/KzLyF2G+0vtNYPc8xIJQgddvhj9Xmf57AQ1bq4qidus3It7748snVBY2TqaVso5P6NHr6dZ8+uV2uZ6pvPJJaMo3rcbe1HJeC/vPAJ7tU610eYZf1XVyLrjxaemqnxpFmgo7TleVESiKSUBbdy7+WkncVsVVXCuJga/XgGTeI627F9ggPq5kfzjPHfgOEaXSwJ8Z4nI3qszZ6ZuNyB6zPwIbBVvY2fPdHVfBTG7O1jnXRjCThdveqS4maEf5W7DucL9RUswMXmBqhVixWRMP9nAsVVEFyV9F8AXvRZnYQxL+4GdZP029Rmn5eK/FolOTifeGN6xeAGYt0BC4foUj25a/+fGnZMtWlfQ5n2TgHhwt9AW4kqgnRBulnxsNHapGkCbshd2xznh3w4u9VjXaZ5/sbiZorG+RJuojkmnxB/GOQAz4J5wt1kwow0GsW7U72vl87CnI7/sojEpj7/fTn3Bfiv6O22gldFe0/ZQyxapLW0VkdOiSrQsD9zRzrKLmlSNrcTkydXwfPdMNmZqeZW2N0MiGGvfarNrVpjvZz2oVtLA8ish6NCxyySK6NqW+C9ebCPpEAd02hP8vhz7P63H+Um+mVlzSF9QD+8Cmti8dhXQRCXb6xh9EnxT2mefyr0y5KJh9N8Pda6tnc0bI66JI6JJ/l5/4sXV22jNPMWVMi1lTZ/jmz5jnT+vMccPiPjoAbyBRpUdnz0nCMjKYToK674gej71Rx6/HqaysVNzXdSYE//3gkSEjKbEQc4B0T5HcXP3P3565mhPiRVwMytXK7PPhrZfAxGZneo7nIbOCFTL1JRnzwZc4GstLI7k3NMrNuL24OXJ5U1aDifLQtwgiWbvIF+XcH2O/KRTdBPr/QYf/kRbjCf205DE6V/7HTCYMvXBy2cdL0Wv/UI8e+KHvyfbKbjTk7V7AVeOzy4suCFNhNQ88p+wPwLI6zQoU14EziAHYY+DPfYN+NrkuMBuBIaQk4EXAh/W9PlU2jGcjSGuXCi6TRIRMdkv9xogdgT6aey4s7PAGfYBnOSNkyI85KK9EJzgglkI8yDpiv8BdpeT7Y+o4L74v0/iGHfJYBTgRswok1r8A9ltTMRCw0JgaSAoeFtcrzghyZ83jVtBNAaSS3eArvASEVfBHxMXPVlXCt22GwSLSzIKZu1bD/qkLvCrFubuCdiYt7xjyfW/OF9Y0lhqSgInQwMnMS7SVz0EwsScBv8MuXYW+jGhhrbcECRrcd0/LYhPA5xu/HDXAoJGDah2sddaecI68a/12Vhb4zqnvCvKSamjvElrdqAr/R8spGBdjUX4E7a8gRP/X4r3MbJeYpddQE/CBNbd0x6iPwm3MFXA3Q5s3omp3D5VsM3dPMaxcQJ4yuf8WSk9Hb5EKdgIetgD+sdEQlHryV9/IKHHVRxcUB3vvSqrKZE9p13zl1uLwztoRGS6Zy8ZW7OMwpD0m4P+dBxzMLvR3h3TP3r1Xbyq8jo681b1TrpOGENoJnMsyemfaNXvMbYJF3jiSuAdG+znuxIKWIvIUMP7NJr0rY31LIA/vck1YrrxHzh9Rdkrn+neb7QrGV53rYMeQ7FUO6Mdox9Gculk1CXlaUn9PxsDOz1GS4hmnROK942FJS0iB0wfbnNr9dyw05wLmTlvObRKUnP/e7M/J1LZQLvvnfvNiIuOnmw3r4vXz/s522f1vaq0H1DHgVu54L8K+ge6uCA+DP5lf3W4Uqo6YHCdb7HOivNoKYY8lnitQuzff/zT1DSIP/TLnVmdnrRbbJUfbZruHy1EYauAdzme4kCWeLR/ahiVSXFaRsBmQDlzv/2jzkcR5BTNgy5/S8OU3+xzqL0JPDxVaDB/QScnEgz9LgB6b9Hz26TU25zc1cxOIcE0xCcoHn7FX4z8zdPP/Mlfn8s2sh6uLtpT9/c09utsPb3/vJSu8l98M8lGAvHoO9CHGY3KWjilZcrGbweB4hYeYlksnUQ3RFG3eno+0/WJx8AjKPiKM/cuS7KfBUwBUnPPFr8386MJDP950oCORaBXzt4LWQk+gwT80Ae8m7JBXJU3C+ya2bM55c8gFwvr7ccYGNri/DFM0p5FXG8Rtx9R1HgKN16MBf3OgIvF7/zgvohFievC9tuSVv5rygdh7XkpLg6M4+M/dBZgal9n3AHJGy9kUpNALOd4ccUgL+DgCrfVBXXghKcMn4KY1TpwK8ip3unNrESp3LK0YJ/NxPZ0EG2TPr+Lw94bmWcvyzqyf/gp3GacUyt2OzysB/Mz0kIki40SQHO/vpiWzClTU/GDz5gGeCvRssHi5FFXLAXnt+jvCrRhp4TGhB/kwhL3vHrfNoMcPns/uZSn7amFfS4c4Bo3AOvD1uHkLwgguyy4bDVXEksmI+ZRCDc4YPLfeNv8XpRJJKpK4E/A+85rfGjFmPXbWRt9LSfqV/etOD2sEh8LmQBMNdGi2xQe8YcB4zezgTfyB66AfE8DHr0axsfmsjtKoYDyUPr8QCzCcWpxl0VVvLTmryOkvJWnheadZ/guW2pCuGNZZs8HILYtCg45KtXxCfKQeOxkavN3MLuX2BfGfqmvAh3zqLAl9rmLmjl0cxyjQ183B1Up7zfQa58fdM72RnTxLxYzMkFWBVOyuQK4Spn7VZLvaQm601F+hLMF3hSN7LAufq5/4bveWOvJ4sdq2GJaw5/mhD4F5acsD8Cxm9FTiwACzyir0e5APAuMsmjVbfgC8ZBTbY+xfAhB3EOAq5RNdbaKkidQVvnmZ+ZTbIAFvzJ3bLq+lVw5CjU7buYA2epWvmxUL2nEwvgvc4M/vFU4p0I+Av2q6cw3q0lZdqXpCpG1vkn85choDveBPpz8q9gJ/Bd1MsIN7Dc8vrmfsMGOWDuUAQHPC7YW9m19DchuyHkrga0XvjvnDvovPIO7TxwdjuSsLGweNep+4APtaR3MYfmP+zU1SaGZ8hcTpUU/ZshWcL1JU4/Ocpl0SM7Ukac8CWa6Aibv/EKQcfjfa2eu5fvZwnwMJF7ngnGTLPWClgU1swda3C3VOALbBJH1I3syXw6GrrYL+SAD+X97L4a1H2x5WuhFzdWbmQR8CYps+kahx0BLocpy6/Ys1ffRzE1DGbmaWUYdYWZuLS6ub9wZIW2L2Vbq0oH1IrJi22VVbCgMduxu7yIenADrrGJTfTT9hM+DNzm0ceXu6lMLOwPLcVcyXz5ZUrv7JBHTPL3lJE+nLodsAxKsLx0IbrHTszz52Vc/jlUg9bHUBMsbuoNd/tqg8a6aQevLfyudilrXY0wDdgUGvlyg9SyCd+h5w17g+/dhiVW+UMRiu+x0hxglDKApS2kfQ5xcC9S6+x/j3rLbkQd16VVT4BX+9kyLtsSoIGYnf2XK7AH4x+pcgHyGGwv4J5R1LoC+C4l21Q4Ig+MdoQXH+Azb9ljp7ygWPIVVVt4wCz3crBZ4GlMuA+wEgum9EaybXpP+A3o1tQWt0qebKrRghalABvIR8qwvxkrRK4yi/uzaz9uXZRz7SaGj4HmdBXwKNDbnfh0VrSkie3cjjsZKwradlrM3GqUPfIKZJ1rEbIZ7KNOXCzdcaTGuggd6Qwtfrqpz8s5/hXt6cZDl7FD3di2UWDZtoy+Z3biqrgp9/6C2IE5VYCmGBG+aQLgyEg9lUlH6zUlruqSPJ07J6p4MDbVJCH+B1imXVydrsK9pRE3eu3PpoAxSlnz0aQG+BcwHM8gHeilYue1LGX2tQQUCkajoD/kCDV+K2NUudckAvwlDjduk6G+z6NicPZkjZxYykbm5lzCeTdHefNa27FXWnlnN/33OA2U1N7ZnyFfz4yiKmEI6SidWwCXmHA8nIsr/X7DViPjyqamf4wl46PrWb4DjHmw2iUGy3/eiQ9xJpJvN8gHqUvXimB/z0qwYyuzJ2FHKXwXRXiqektAI444BGFJCZPUxCY9X93ubDBk/aP1twxvu8HyBn3FDW7Cuyz/dH7+nc9Pfc+e/9jQS7v5P/hw3tmq6Ble5aOi6UgvpvZ3q0ItzrSqKXyp67nLCCO9fLb9Hu2wF+rTQJXUnYek5yEawQ+ecWuXtthPgpBAlX4ljkPUSxZYR9fXK9X08UqwRPPVA9ySp80kFEbG51KH1A0JPU+dVWQ7gADf5WWOqWTGs9IBpL9edBIvWN39s6BuQ9TTzVJwNvdteob91x0O2UPW2mtr/qoUylmLrd/brklngwRImK/Vlq/56Ymdlg5LVQHXGknBYY4joc0Ql4TkQuL9iIbleQWf08pLpogBHyOMxHj2Oj9cGsBTsAelHmvs5SxtjDkV6PRiE50QpcU2BvgzjtAaSujHFefSwK/27Oes2awIX/pXb3xjxSwX83nU8ObB3wH4N0/HtsQAXx5qUfvf5qEUmTu/9X2ALd7M7NlmU08iPeBcpUE28yxjbcWKQaUryttXZAC8piLSx7PhCI/odbeBn819e8+cE3aWEmUMgsyzOynwyxo5IXmXM30Dr7qAVLbdxtbxnRL3XLQRTvNBOJGDj5Y1cCrctvMmQK8qi92JfA3sQ9PGftduuHvlpEb3pSA30ewP9/Kvph7n2/Z//UAokqpZ+Ay/Lf3VuokZ7F8U3boGe3SFjAXxAcpqNE4IpLbnZO76qQiiDn5cmqF6T9JOvCpdx4ldz7MGj4rUmGbOT5HWIcSi3UpnR08Uwe5g72w6FUG/E4H71OARWLAPP/pk/sWcK7dcdOAl9KHqcOrCv/QIN3n4bIdHf19RjigTB8h1pY4NnqyRpOD+ypcYyzsT2zi5AB4S/zm5YBZ83s+oZI5N49TkuUQ54+WLNIIvxO32wBLWxIZ7bdOQm53TE0OhN3Y9CoBv7SPm8nmaEwF5KQNb5nWhdFC50GSEEuBn//ep8Rm9imjyRFHy5Pxg5n3h6jO7mLcj21IJswTS8X+O7OMPpGE1e8SbmHgx4BHdOYJwL9ZoUVj66y2vBtFzOFmQL3Y3cvN/5ST/7r/MjpMqRr4d061DV9EW7F+Akb6gLye/Kc5Angk8kg6Ws/UBqrikjMTq5uGSpJxWfg4e01fPlVM4G8bx8xOERClzWxSeKd3wrr/u2uLMs/YS9r/tSBXSsDYKWPEqgIU4aJbauCjNf33BCxtm75Abs8dHrTJyRcV7RejDUIGwEzjzZzJ9Yx3Jj8AayNWGzRPgcirfuOIgXfln8uknkt6jiWlvb7B/x7rnzt7U1/u5zhcFtODno96pyy1lBAfOT3sqMUBG5IrxJkvsNGyHjAGn7AkS6ZmXGk57q/AZ4bf2MtkCHjHOvPO1DtkENd9+ExUATaWrnpnopuBG/Z8QFfO9DljaoX/NTp0uzNFPYc9aXtVtWambIy13A6uiJE+uhAHnAbemv/ecYA/2LXphdGqqJkXtWG2nan/fXK8u7TItYmSI/AJH3x0l9rJlQ1kqjgPKXC2lKsbYWgGnHcxf096rpmZwwpra/rHUrvzuI3+bzZ3uLOrAouK3R61o2Yx6WNuztEDnijT+ePw05nNwJmBJxb+NxV6xghdS+BSOfclnjKPBdxPA3yqwvlef/55YMD/bFBGX9dSzq9GUJeJ5SBDyCUbHoiWU2l6rgcugGvMeewTwJ95NthfjGnSRNhvnvt3iS5ryjkTYxfT3sxf+blLjPIt+QK0s5ypKiGHbvBYHnCMlxacxYSOKo4FLfBSM4LJ5k90SM4S3jezFiKRyRnZXY6Zlw6ebN9vHtgpYAwd06ibYH+D2szFjiGGWuuhHKRvNEPToEN8SI6Qi199HIdzRM4Sfi+nZKn4fDP9iy28E6V6hphkMOwdYtZ8sswcLfLgRjNo6EpldaZ/7wG2hen09wp58vPM9juqOTnT4Qm+AbsHHNq5ve6kzDl8KoTN2thHAMMFHtcI8sfGxD+vmvwd8JGvms1fOJCfbWTrdkDAaUhJHD2TDadNgBcyXe4nQBBUE95Ol+sRMOc5yJ6NKze2/dZiXfPJr6QjNz7IlRXJjcbkQK1OHJ35Rs2ZitGu4uUdu90T1m3gz/0FFzwlCHAIV8Br53PaIxfwjpvH0mGh/ZFNjVVupr7Z+07H3znFFeXJGeJRetr0Cp/lmcCDChdUDeijGhVKzZlt6PWwrn07rF+Q37yWHe5iAvzkeFpMjQ3fK03dczX8u+fjemkcu2SBmWyZuKX70re5AafV70dLm1qsG7MyVwQo/Jk1EOO07BMzIw7im01SFx/A76J0kFfgKlk2mJnDj+fR5lUddDvD+07b4NYjf0CMtUqXHzIrOQB++32vVKM32fvHGhgA2OD/6r5QKAEv/OCmWEEq979UkdlnJiFkJFqObBPxzwya7ugMTjv5g/zc+7XVXVKHuGJc1vp9f8yEN1c9ee3XnNnIAlz2zISMGrFmmHZf1Tbcqcb4XPAAeCbEvnCr3O6eRsmzNOfuRRJldvY42vIz34A0O+ulcuZ3HhKbTeB7oTodrS4Cm7GAd77w/Dv49bEZvAowsq0myHGaC7BdTif+lTtzRQSgXsub6kLH1ZZ0bWF0AJht7iQyV03UyWwxkFMzkoNE/xxO/bISSZgXiDZ6/gTbe3HYRORL1gr25KM+1Q6RuaMoyxewI78sNXKBswWUp0+MfPvkXlYqjE6i9wXxDlAGd6gYbOCVoyhwSXlnahe/SpuTPOjuRKx9VuCXVtUT9h7sQWdikjY1dSUa39LP/ZtyureTs3yLSGohsM2ttVAbe4BvQ0aU4TnEH+BP3yZuU0QubYC1CNfi5CRvwFFNTf4ggRPIiPe/Z7AMhSqy7nJSgJu8bzysO8b+Peiwt8Hm4fl3Ru37KUT45FPoMfewwq89aw1cMl9MjXJwssib0QI1Mx+NNi8fyEDH20M5YL/ba87jkp221DvZ6VZ+Ai+A/HWOs2vFkxJy2IkUKCXOfgX7gHjN32Cdn5LJr0Zc7Ca0dlg3K0c6bym+ZBrin+Ot0kWRCvnjZPrDbHmot/Blh1/cRRaP+Vc5+XFt5t0K7TbO/JYH+AMQ4Y8Oex3aVh3D5wqjif7ncY72XR51gH8QMEMSys3/4ILfyyF0GlsVwEt3Umta2djM0XvpmBWVtfc4BBajg5lZ9pE5A+wJkkfHetI+4dXQzdmQvJMB3bgGfAyxGeLO/aemh3cavuli+EQF66hsH35DklInvdDyVkNk5ZZ83RMB7y1XFpKxZnagGOCOKHwQd5ZUNMCpmAv7cpWjZ6ej/FRIOqaGoQrVAezOlkW5ctfnNbD1DGgG3vy8LsprFS67H21JTm7VNL/6fIE/HwDjmVmdeq44eYN8fxJTgn70t4eVKFQ+IM8nTZicM84TipLqjPjGdOliBj4jtJ9x3wcsRPLnvlcbdrmtcVOoE9b8wzzni5unxWCVEA+Pz/033pJDO3aoNH07bP9R2gl8/cGlvS8yim45cPf/1dM7tcs3bA/PbNSQ0/RaW8O1nQ4WDfcfTYxlg7oF7DCSzq+OmVNH4cZZV5hxQZgBfnX/Wg1wpErs54pZ9zTQJ8ABERv4B0E6ZJOp3SJFyry+KZLV1JhlY3fMtDLnDp8p/2fTeNipKVvbSA6kR6/zqAjiEQV/eKsFftbA2yDWzoTJdw74zpxhEsBguf7RA92dAz+WG+pT2pWpIwdTxwz7awMWpYQD7tbI4JdRUvzAPWDnicMe/WotzoLj99rpHmBH7yxcac19Mx/5Qiz81Zg6aWf11ZZted8dpc2/znwwvT6SOfsrifR7G/y7nwX4PJVWNmJacWnVBZ8bxquzmE9s0L9zK9ohAXttHDwkS1UglziNAz4853aSCJZIycgsixlISnhlETo3YzKUDH3/P6LOrUtRXunjX4mD9BovByEgSmxCDpA7IK5GCEgrrcinfyv9bOe9eNZee6anxVCp+v2TOoDPnlmc3o5r6aS93qfdl0VCLpgjwcUkxi/DunsD8Mu//A0gwI883xrGfcC/fzBr8au+XM6CRGmR2KrDj8ziPEcJBZaD/cMjgphX5fMH4XvTSyFPLQb6V+eZqw9sSB7nMLTTwDc1i6A1v97nvUT225aH6Anm3JFCRwTYnYmrZeKyObStdtuhXEFVhntPxW0gYgUmqQ+nUH9Ka454OB+ry30tB7I5x9MM/HrHNokaKkHToYEE/H3v8F8toYU9+D4b1iNTK4qIY1mMpS5ZW0KtOeZs0qDnj9hR94ZJM/MvVwFzCOX7RpBTjaaoEjqVhukvd+9oYaz4l4st8G3/tPn9RoGqjisfqz58VW6/wTFOWIcPsgtvmdBJFbdCib3NVnI9vv5sJG2fwBeOmRkPceaJKaynQDbv0D61wP/Gramdm5WLsIlN2JL/9lcaSnhnIehjfz3DCp9Nn89h88gdDzTJ9rMetI97M7dm61Q9h5+Yu1MIvq9Lbzy+3sSQgXLt3RPF+kS/7PMISjFuvTw2+Tvl5hRu/t0h5nF5O1NEc7vtG2sLjKbbcgX71Sn8XQq6pC3JYAenmFml44FuRME5yG6nQg/1eLXPPcfGz1fd3iZmxi+aJhqig3ptkypcunOo3u/rGzTD3Aik5X991ieIwwPozN70Eyx1+jqufqeoGmpHH6WVUDWGK3DXqWSl6aldcdH2eDdbcuA5sA1m0ZQBUw2g2DMM+8H0bHifLWOHPU5B+KTOhM6xMrnSexH161mAEHEWiLHTswq3sDd1nAKbQfzDSkwnEugYxz4uNYnOMdiQ89uriBGKTr+zeuykNHMtUutdWzHfQPdvMltXePiCWDAVgpMH8LYHsavnlr5z409X/kNY+mTh1c3dJEut6SFBXoAOSk0/gRJ8b2nZZuYNfDLp8+LL3CFODJ6n6e137RIwYL85OHrPBwQxmh8atjV1AIng04L1X7dBeEeoHJsVuVy30ZnpxfQigOfqKq5hDbhv8jBxlLQZA5HC20Q6i1XRvY1/z02nt06JQT/NTTR9p4Plyo6bM00vY+YePLTzYtrjUaXSuttZl8g8Wh4mv0cVzQZizk/DsIcFNv07XpzNl3IsX5WDnwq0oNBfDxJBTIjJ+4yINjZ5Vub8H/kDeDYXr+maR2AbFEMMkeVxTYApiZ3q/sGDvYWR6kFHfZIAu3k/Xyi8fdlfH7kgA+iz73QM7bP201PYnuhvf65/eZUml2rFFv44d18PhpiT2uUmdbXOLf0y17m5LWkl5G+fEVP7XkWqIg4qBbPgPeMb7tu1LOR37U4Q55SH7emQahmJAnWc/tZ+vHO/pRTbvBYqOdHkon77yiyxjEu7Ro2XD+WTDvOmYVMCeuZRhfhELTWCPg2acNlBzGRlzzYswuVptw2VtQTAXivEykc18BJs0twvvO8d+jzK1mbdm9miptb/Bs8Nf4aAo0urihbQh/2TOygmbvtkg15VgW6cf71kzK8S+Q6LyRVYpiXCPjRC3XPWZnnB96rfL1mHDrwjb23e8t67NtY8gu+YBIINIkAPv7b7k5jDrPM97ig7d1BP+VSketqocKKgS4NzTF5lr/7L10ZyUSi5VKHpFWd6SqYvuttGyuXgo/59FskL4kNcJLBvaNNrkQG3go8YCUcSbPkT9MhCrUlzZ7k3nAhJkahNjy49XVkvU+4aRoP1HIGxgUxruwSmY68KvHCF5Ao67r2/NO+XioR2oiyTJ6yAh+aJDtaKuWQc1ramuj1FyG4oftEY5+mwtKeQO2LEL8XVWjmLUKgdROQVNNCgOQgS6O/L9McW4bTwfvvmjcXUhzD0F/xUu2GdzJtIO4xtFtB5JxlPz4YqYu5g6sEGBQRMDz4GPn/KnKXDoAFZ8OUeQH9KsF3Qd4QItRpNxzryraxENuG/utGWQLAsGfdT3Xomup/Ycj+sOE4R+sw4sHXAr4QlganPg3Ud6doyat4T5QzWfcEjt0y9n2B8UZftBvZkzLm5+9ZBiq7r0fo3T2rIXd6yuL2nqzbzQvKU6iE3MwUcXKrCD+tQgkZtXnmHQ85VdI5Ai+vrArF4hv32LDm///bQYNhtrOWDml7/rr7mDt6cES7S4F9fYiqKycfh1pduswGuX3mPPQCNNR1mLw/vTuXAvxNLlFF5qlhCVGQXNJQDQdkN1vyYC+8HtLlLxxZiLj6RDp5PLIjEaGpMbzwu3zkw35Itlwx+H2h0U1f8NLMTiD35VaSvONIB6IRKiJlSC0e85x/M/etJB/2Qjh/AV19Z1Oo8JAUr2gy42AJNfefCnn/jH9Ufdf8+P5w/mZOAj/ZaysixhIAiUcuAIyX4Jn6K2kj0ng88YHpF+Kdo6UCv7Uq2d6VWKY+8XcV0UXbI5M+BJmxh//NrvmIzSw/XNl9yYJ3/McATO/N/PVkt28XhdKJjY2VmHiNHxYmZHjH4kcY+rO0c5EJ/m7M3Iu4v0/6FQwzBQZKAhl0kbzvSJV7KU8+cf6VMvpSWpRj42x/eM3NuMUyLiKwld/0NxBtpejzyUZE0QBdy2caNjcHPJhTWDjSS6YUNe6H3KvBdx9TMX7KVXbNyw2Cf5GaGnZO5lZhK8EkrrM+bNw4HW36eYtliZw8+M1wy5/nf7Pd869SD92nyWeo1sVKWXMAOx3KcsrNIHGbNi4IVxUXjAavcgTEc4KML7fZOjfQnxCU7E+GjLKb3XcC+idtv5Zg866dXcn3M4z0wouk7hE0f2fA8LB5m6Ar/9noGzQ4c2B9X9MhpO2Qd/q8f24j8/52VcfApbtVP2e/9QEFOTZy87bBqLlvb9Cs+vuauRv5nvvtzM36kgf9S9vVQxWTmvl9UxCE2yg2hxK84+s6opnQE3edyKV9/nqW1zZSzFWcqzcwpIdDXjbtJCS/1vZdx08mIM/mkDGyMzRZFpXNmE0RZ5VHbz0rbX/Cggd0IO67tLgXOPXFS5G7LzmJKQIvdmyF1TN+e1AL/wxLWcCzgXVvS7UH/hv96s5yj9pTutt+mhkF2+L/av1V6qkicnH+ZWlWH2mQ5OK17iuyd5KVzQv4Kmhf0w/OWW+omQjCUHl0hFh8rMX/zCD9ZoSv4TAac9j77+q5Bd/CVb84i9GiQ2fWKX7Jvv8GPHpsiNHPpex5lD8bUvrHUtenxN/jDlZp686A91qYPqk0+M7GE8Bm3nOtL4yzAXBNSlixL913vAL4XtCp1wJ+y5VbSpK96BhzIzTzUudZTwLvSKx31k4fbPEXkgJ37xvS6V9b+oVh7IwIdiAYtGaG1FpuVhcmBrGhHi7YXl3kvEHnn9rigbMJ02IaNmW0Ukk8c7e1TBMzc8fyU/3kQ7kM8ua40unsQ89dSSIewbV+zpOWWtQHtGwGTHHInmUCjtjnSexqoD2VPuhw29nl4/rujJ1H7LWgCXCFz1WcLNXmuRVuAjWf16Jc1SkohkhvExYLY+pUCdZU5aJ3YnMNZq+F/bHq6xMr0/nyy13ytw3ZhrKWpQLujg9/5UT74mRy4e5MOpnOXf8xW0FY2GY/u14YGfpgjn3FaLnmnEsZsVjvTIEPyAr+OGWNgT6lHwhA43LdS+MYm/w5Y6sFtVeaF/qBavuuyPwhqJ1hHsJt2B/vqWbuEEK1nJVqbueQDnvtwEhjlg33lw7xU1nI0cV1piJGCBI2jn+D/NkdHa7CbFN7rBy36J3zPtQEfarjnfb4ho2zhK2j4WF7STocZ9U+UkxEjbO759ylFPTA7O2tgn6i9q+jp1AWypZgeB2t7AY6XItp+K4SvtZ0Ueez7jat8qtmrcfiT0vbNUcA13g+sh8wYLAngMF+T5cS2OTczlSjiTexnOJQs01/PvPBfKcRiGief50Lis05BL2mTi76qoLcEsAu8229q6dzkB2Mq4efR+6zyf303t69GbJffGu7Q9NkkbTm2l7zAz1wjxMxaFZMjA/2TxugO3JeCRpnA///OJuBF+BCoeYEVfCtmE6Zl3IDugQX6KTl58zyuWPsBPm6f6eShdvMRWC3gAaA7Y0/4/0nalU45ohR46Alsc816PYne1FQ+l8aZURoSaXKHKv73ASwBOl9H0kWoXhFuiuSHBP/84a2K07UcyX91uTx54KCluDf9+5aysv1B9vpDaDTlZpYGZS/MfVNbUBKw09Ke9lWgwV+gUjHQ3qs/qjW74dWfgE1svLZ7aaO3jwpZoU5nzb0qwuDp7s9cbOHdAeAy7pj+vaqQI7VDsIU/Vo7alnKUZzQDVutX4ti/cwJp7Pfi9xwsOaUDskzv3XRsvzkLn2edvb/X3Wg7EahDCroLF/xOkc9NE6rGmk6CyWtJpa8Gjg+v+yZnCvTtFtglvKVhGysb73CoBOx3kxtmehL+YKrhHak5Bw0MXDfQ7v/7A7DevuMgtJgzVXQlO9NXD2wz5f2fTcXVQKLUPTgKaGVrOseCVp83wG/PVONTavrosqeFX7MW+fzIQ/ZQdvJdAweZs1pY9yOn/+4CSD5ynzG0kpFD3Ghuph8fPM/V9CSp2ZYS8JelK8f/zcEyviM7d/hU9pwTncynAHyvBb5d62tVgM5xken37+BYWqdCd8Dc77yUsXJscy56kML+ri7zf72ChLeUBTnUon0B50856BBWkJD12wfp5Uc+wP5FvMAWT6QbunhIEsavL9Ahp6xnLi38Bx79lKN+A7rp7Q/DagTbC78sppM469SttnVZ0fJWR6BFbcVN3hmLQSNotnA0fYKWJymSHnxSgqMQ9E8KPORVKk5MXXeQ9p7ghbao6/cpm357bb6/F+3bnPMkB71yqQsyg66LABYKJvSNC8XoOCWCgUYBu66KloM+wzi6WkpMQWZZlopNvS9oC9o6Mmy8Op8R6MsrcUHTdPKDFck7J/D7vNv+1LodJHxhGaCfejR5L1dYa/DVVpLLNVwo0qy2/bXe/Vngc3sccA/r9pNQ7Byd+ZS5EKd3oBlECbbRuCS+utlIhsrMbYj/zdfLUoaRYJ7OCmUJ+JnUejonhmfQcHuwAfuUb+/K0qAF8HJwSzdde+tgcX0yOTFmZoWD/TS0QWUnHS3UoEJSphQPwMOFhM8uRfLOqbClneyUtf3hsf9BmD0eXjOs/2SnFugxpnspkpRFSwys/Uli/aKCfwJfmPnRCR62oip4x8J2Zo5yS4vsm8iTGZ+u4HcutandsZN3TNkwa3uXu+2eM2tzKr6cE9cWiyXwfWiq4TyIXRJi0nc9AA+yzMv0VDBzlgjceR7UUtnsmfXqdOLTBa/7Z80s8BvY/m/OdAP72/+XwwlM/iH7bdH0Zj67F9ba98jw9WQjxCCL30m/N/t4TYMWtIc0MxYo2A8oOy1qwxoxvsmV52KwX6rfeAztn2wNn+BbmeynV7b+03ptw6ZXbvMWYmF7HnjSBBybGYw0siNg6RU4YE/X8glrUeUu2ssI2xBzXDbMDAwY4uc8nVFLRIBBV80xD7DfdOVG2X9XJcxM5M2/PHMSJ6RxCMSb9MWGJSwZSKk+M5qnTy1Txwvso7XDhZTUnizRA8OjyT8jfQffcktfpscYGlJrv6ThpGU+z2fh4TzybAK6nLns3Z9tcwrAYn/nd/WPs57K1MY5LZIOos41D2f4nabXotFg8pCNWhA7GVNzjtypsDb5wpf7RkFEML2GDw7EhlE+sN0uhKt7Gk3f1MbvM4ce4k+CO1jccLpR8OWwR8180+s5Aq0TcdABaDg68igiksnOX1kkN8BUAYH9QFz92QwK4nfSAruCZtEOMALEIVhv57fWoWu4fPerBB82X+HvPih4WbV+mZ6QH01/N3lAUwnajVP/u1rN/ZIcVJDoevzrpGL5wUP2EIHfpba+QhTITb9p5SZVNmyPEoUbbuqkXOZiZr8ZwKWg1RveWuZOmPH9AjoUOBoPomuPVCxX+H1R3Wnf9PJX5szHdDJ1OQfWX7GevFIDxRd8qH97c3BzJiXMlRzTZPkvbst3XYDInD/Ame0jD+Rn40iXim2GI9si/fyD+7ngEZmUrZG0ZADxm+Dx76tic4FtlTZ9eJOuyo/gD84dugju//ZBooPW3AaG46XLmPfm+RMNkpmiFsn46lQ2EcBaHBft0rg8EuFs7uStxrne8t/ZeFsBOnoFvbGml3mogxZ8aejkSDrg3ycp+K0SCOUMfZBoAYvRCc/ndy5WkTOCSJHMMtyiytWgh5mrKLLTUbu1hn1pPcFW8c+5aHMKr0B18pNFe6+JtksFvj/jbXVweqvReEcGkM5iexUCuMpVSQ4aAqP2f/1771ZW4ENubok5MBAnN9DadumqCwlt0AM96Ou2P9rqBHKSMdNnRPvkBFqZWUnRIF2JcPIqZ/IpaNfUJU+JSM+AUWqH7CDeG030Pp/HHDgcr6olvH2xvg0zADQxokNj+meE9siLfmX9FKVACQw0ajbYURU+Yd0a8J0kxZ3Oua1vZLje+KhtidgNbHlHwuWOuxZ08L8cmAO9/HkcXdlnA4rOgr+a3muzlS9qmK3K9CASOoa1uqdi9ppwb/o3BmfRBkLYD47QpqS8bNgdYmYKUczfgK7dsNB2aNybHgV3ofv3md5LhfLRgPY4Q/wCSopgn/7Uv33ef2cwGE6xD5bn1UyBfaln0+sE7DFJObdN72omEnhJMhW9mXHDN7Xps+v+dapVPcoiBR02vWMKUz3xmbW3mlCTKlr2oP2f4OOsMzIzqNujGHpHWR5JBYl4T2Bz+yfcI9DCRIK/QlXUO4apU67dEriXWVMIuso3/XjSEH+cwndN8XyB+AdxEtg7QLNc/bih+KOGeAfsbmpQnxD/Plj4619eTcEf5gwW+PQOfD+DpzHz6nJppw9gvx1wsMh6fKxi/3EO/AO1wQeEnv8++zpTf2Kad7nVMonQUg7zFXbBkK16yqnJEbRJpXFmdDEfdMyA5cFXWvhizsLaC+mAHsGeVIzL2uVP4LZjw7ZEwaOCYCnzMXtzrwt+5go+ewJmv2Vr4zCkkqpPb8r1E3hnVwk+oPo9o08qYTge2CU12m/gQ25Jv4mWVdqgjQd1qPv5IYblebRkmHV6Ah8J6728+2PnMvqCeJrdFPsCDoN4RdWQu0l6QiH4SIQJvCNi2aDh5L4aUWxmCp0QWShoKGryulbYZ+O0SZ3FBz/yQTTPpAsxZkCf3EIfor+/bf6nHCTEjD9e6fIyt8qHHLE5F4Io19s8Bk217i06/HmknVyA+Q+8azzMUwBOo0uuj6Ppn4H8n8qZXWCksOqapxz4LJ0G4nKbgA297ystGvFA8GSEvz/g1cwKnIsq//M4j2aO2dcD1kpj2iy8QIIDfebA85xJ8OzAY7wtpNYnbOM2t+VOFEmPx6kVKHtUYD/nHlxjhN9+gwEDfuTh83HazQw4Ct6Gquph9uqBFwxsIXOWK8SRH1hLj1EcVdbmdeIQw4u/oCFlBfvSoQHOzgG5id3dk05p+k4MTSy9sgBOj/6di25MURgOUZSxpci4HmvrC/b95oG7xKYmr8Ka77zgJg+loKBNStvM7FYfmdhu6JB85iFnqZgelQBuCye3clqT/0o5Ux4xWjaS3f/nVFg2NfXQIfk8D5g0K8FphHHuZvD85g4WtxCTXuAb7TrwZ9W3m9LBF+K2mwreswzNrO7pu179ey22rjJxklkrprgCT0SzwXvntAcEPrfi/nxmOqXARVUPe6XwD3lMSqHTlYbzqbGTvLLkQXG5Aday07VxKcSxnGHJhpbmrl/WlsqxqVMZMWoG8k07NGHwSTn9l6t/bazncjY9mjm+gf+9gV5cz8Ms6t9efsCfhbnjli7suyHrmlfZm/llpFfANhzplVt2xyLPE5TZGPW25O1H7mxW0SeeKhAFXfe2DQ573U3jzJyhDrWzPcG+7gRrn+AvLJMjxkbfzGCX4KcKKpKIx+xVu9JLTV93q7dOJr3C9PO3QJE5Jr/NrihNBlGkL9g7ycH23z0kbcKnuHRgbXZ/POWQgVBCWMenSifX/3rA3yE+hG4DDFNH4DsCPlcxMXcv36QLb6bvoanJVCh9HM1M0C4Zzp3STX7/nWd4juZ//XvT0LtVcTKl0faUx0qUvH+aHKoSfG8eo49cY4jps64tbZR5ktrhIuPMy5mZera/VUO6aVhrsUIv1ZjC08onvIMWR8kt4+iTOu27f9R32Yevc6c3oGE+G5HMpj726GAH7O6JHS8RHI3Ahz+MmjkM5Dcfg0AMMjMPzjH+JtYCPpYMFCwKj0BVSBLQpc/G5v459E6EJv9mw9WgtOSwHatCnbJBI87R5ujAvgTtS/l0A/0gsg4da9DAph+y7KWdaYwI8sNTNIckSCCm2p+My/4sFvCv8LyjP5eDZc4YO9G37xzpDeeqqAPeN6G3qy1ORNxq0P8+2LHp7wqfCdqxwLz6r98rxGliAyfb2NYb1WkB2sXcYW4UTSaILuk5nz9Ap1+4CwzS/1ma0H7P1jH3MS8aww4O9QGYxMI9gFLBdca5mXHTp066nqPQYqsszZ0g6KyxMfMrXJTA/z4aAes/7G+1+POqHURqJHewNiPrkzRzwcYuf95+HtcUSRmTMAN1ngEF1YJYVYRX01s7o8rctaBziKipm6/XzOMhOaXWbPI6juDHT6BHCPjQPB1lR0P7gxSq4w5JedTYdW/OsP7Vf73OQfgEJrCABRwxtCZf3AG9MapoJsCVS221hCLsNkO/5DE+VF0LWjYZyWju4fiNWe0zs75cPNxXsHljOzPwvendokFjPLgl34zdAjvaqkcXMxNWcAJeCYVgJ3fFQQOArmDUv2arnzPT69rWz1xnEHmyjYn5rL8uDcKSWuZ+mDwr0Ij/zS3ZOumQVCVosEa0777fy6kADkLaLvvN67AmS9XJiACfnbXpN6fs33kckV1VXD9yF2KAeDoHV8naNXn721b0HrDCNj+xecZiu0rgsXN/d/GYnITgP9kwvWsQTPc3G3c+WDEwjiUR2FRS9+jEuWyzAvUnrgXj7UkWzZP1em/6xAML/pBhjithH4ApvnMbP/NhueAeP5nLbwTpuIlap4r4PnPk/+6/7muNJoixy0vxENZaccH0rRx0wGNdZEaPaHKoXILOXEFgblZe6O+6aGci0JWwacfNOS3oVBLOR+xszboLYKgfZm0JMbUN/N/5/PHMeIo5Ckt49xmXXj6ioOrxnrHtB4v/Y/+aA6c60z0v9q9zyE9gR7995atwqUTMM+AQBEzzEEIBD5uzZ2BR17dLMdE8377PzBfef61nYZu62Ff+ghgzshcb9wtmLVXiaecDAoZpN1LMsxLA/1SBYG3FmXktidqcR2aezPahNK64WIoUNRZx9NhwM4+BcNBa//JScDS5YNTwHqYN6/ROsO2Bxn9BcyCIyV+3piBDaea0gD7EEf6kjJTqsn2cwr1Vr3IpxXIvrcwDP8bPVLIcASl3CUQm/Fn29sxD+31WSUoLDSZ3qgStk4rEJvEefo8EfbIsoNc4qCrTpwbWiDzTVY7Uaq+CX21M+bXuyhtonJz2f56q/3rU1rYHltixiPiYg68blIXR9M4/jHOH+xy0SDMi7+jYXTPYpew3j3pYhIwY8Cg+EKomVfS26Qsth9RW4bbLNbml4RxVRbbmwxN+7u+NRvZaW4tmQTue9dcKuqVLB/LuH7Up+62Zj+epwejCJKOxfye9vpIeJRhYhLtE4N0cMra88JpYJdV50+keQ8xPafqi4XTPXvMPqOwNsCTHKHEJ7NBKNGsdkrYK1PseFuXF16u5bMHTS2B78nFwShv85eOM/q558HXLw9/8FvB/5Xp02zR1nqA3cEVXfM1dLECn4HP/Z8NsTZn795VZbGFdEtaW0TXoxmn7zu0JMw16t/+zNraeTd8O3PEenv0HGIKd43asR9D/gy2EmTNt+jWA3qqjvZMPZr5iMoFG/244IeC3l/o1v6rgyzsZ5rb0gQGlq39zVOe87j3gOW/Peg+e1X+efmfP6iQV9lGCjoCoSErTg5AR3XToE6zFqznBsm+PUidtboEmBJV3yrcVD2QO73kqe0Qa3Wxy5vWgh9/9bV6nou1KS8+VmKOcSqt6Gd8OCL+ihdoIVXH/wK4MQJMQGfCu1krLoLex+HqxsP2uerahBT7S3d0+OhtzPuhJwZ3ssi1NvgvY/5sP76Y3vigmW1J+IH1rzhS83zO37re+da0H6QjQdqdCPkSAD6CVO7AzhoclqFZkS3tKQb9OBzO3vPsCbtFeHQMnBhAHi1Ye7H93UroEjXN0TE8GNdV9atFw41JBvrPxrwUctJi+zZUwOZJTgQeTH7XQXHgZuE9jdyZvlAOV3mtgHaF1Scb2VurmSbu9KyCu5CF+n2MXxCb7agC9F7Yn2A8/VSCPZ4SP2WDbvNu/wEtPwPm7lJMjY3gEezuYOrHUQoxTTOpQjWAHKR3hOzpTIJDcc+HtK+CDOgdGsNR7L7+Y3cO7TgLTe5gNyQ+s9K0U20sTSFoL+9nwSUJsvdZr0hPQwtzMVCm4malRliNb4T22KmgcM6uh6WXSmP6hnZLcTtzUwQX4/Pds02cGGiWz9J6I/kZRe6KIWTyS30f36uFB7k5xtsBzzLD+n6dAtYeVubjIlnRVfsYSVPHEzIggdaSfKgTNxBMEfJOfuSx5x0tqy3+9FssR/6QjW87RdFJs+62oPIDm8UhhtCnoIzNDEDTFKfA/yHB9lbzxeA9+a9BL3gMnjWRX2XLKWZtLmt1MTa0afdOH57vqgE8s9f5eReXoXc74dx0+bzRWKTDM5kRb0AD3mwy+1qOT3vBrC98pfUh99UpbuyLCDxXvbySWtAo1+GCIOTaaGXA1EdsZW96hiZaUOCjGNnnzRteY2VC6cdKuPYmwvLEV/Zi7H9Cle7m2H+bsLf/tj6nvzNxvrdg7rNg9WAtWI+qr4O+LOM3TvNNS/DG5+9xwrBLZ4wT6HVP0z8+TSH+m8Px1D/qEmZ4Z86EZtr602scJkemEGuc8qAj2j2HvfRqCz1zR/hTJmXX9E4NmShGwAEuEDPtXHvWv8wg8ddmCY1sW7L77Y9+ttLguZ723TC28gn1OB/mgrHWAP5fD68+jMvNBdZuBKvBB4T0V+E8qkMOojM7gswnlAlhuBG2FmzipgOfLtFAz0WjiCLdsbN+17Vew7UL1XIMG2XDU7sqRXODf9Rl898yarxXrN2cAWmHuTpDvn8cv9+D+9hOwaa/hvcC+dva3c8HcfExe6WVb0f7LrVDrcYs9zWyIdx4RHrZTbZNH5njghOEL9MmJRLDfBunJToXnAW0gfoiySDpB1U/GTE8VUw8fvhrXzJ9FeW4luQB2hXhj5p6x1JFTxhYihSwyt43/5fZEy83kYppaY9DGOzXyuObcrXvb7BHeWFvTEyYAHfNSlh6Fnq7gFwdjE0dHJ4rB92dm/7Z3DLbMO4QyKh/N6sfAlSUT8795AYrZKBONw0aScIub3hxRWbS2KPyHmbkuA/yA3xXmEb404TbnI7fZQO6g102vr6Fy+C0FHVrB55k6EIEaj6x/N5yRRGg0gGd4fy8rs/YevPc9KdDuxKeQW3crB7tNO3Ro1uRe8ilSXO0hNp2qwGegZ1IZeX5qJ2Y+h0spyqSeXuB/3ErcvYMz45TKUx5dH5K1bTn+497XiYVPEWJXhFNAnPbI+mlXd/DvCj/MbC7Az0Z5j4650xZp4K8EdknJpG7CcgO+7oi1suUK2hapPh35IC7bDGzbzNdiJPb7bPxXC/MBzLeanmI5WyrC+R476AY28DCztYFBzX163jg6L02eSkSydFT7c76VzevupS5PlPC+qSYxFSbfNAkPppfLiCpsbsFff3457M02adyewNfuxXhdcd88mGNHnN0tAnaUx/yCnTbLx2nGCP5Aq/gcNrfD2r+O9rQHO7iz7q/p3RQ0u/njaGUbrsFbBn4mWONBbItAe77vHQZRyB9g0Ue5oqLhcncO+k1lzWa9bzRIbykDDuMmNoPuBGNQI3hnoY4Za0F12RIUqVV2fkXsZBJCamrh3cHMrg7IxdSoKv5v7q2ZY2X6X6fwHtb0NTtCmNty9A2c8K1C6edDugrwI0dLpuq3J0Jjgy080hU7EP9P4Bud0vIcwrz7OVKWDPE1HRMq+vumGvBAXf6uN/+ty/6db+7sXbzyQyOWm3SWb2DahPZTwOn+yYRMT1w+Dk47AcfF2YgvzEp47siMMPydRtyv9d+15up2FiQDX++QkZs6wd15aN53AU4DnJK56kUuM9B6cgAb/MZxMiqRdNRZQpBLDol5UTNtepsHpo9tNgIHRcnOzGkHTiy4Le+i19XR9iVoy9nc8UGcvNThstDhz5s3aDaGN8am7zNSh7zTY2qZ3kKgUwa1kn42szh+MqoCtupL3kGsLaZLE5PiHKMLF/el1vwkEHsyqhcRbT/SSGHc79eGcnouTK4xfudVmpgB9Iw5jcOVx2jHUXJSbosajkFl2CEV+MAuc1bZYFUxT8F/PFJuRJ4q5Wg6xU05DnDHdELygax1tCzn0JvOAXuBvtqD13jPX3aU2C5NB7+nn3+Oa3s4uqnJFR2qfnsSFIHG8YgY+LdgaKRBv+bxdAHNfakp/67iqw0+xwE95p5ZaFFxhR8mthj3z5pmbtPtb6mlh3/aYcwegspLvbIH6I3inR9qamqws2zA94E495zfvnRj+WKivMH+89JOf0M8u5A1idNhqoibcFg3Dj6f5rZE4NPbiitq4v47fvGVlAfL42Uvj0ZXmP53LJy10MBfgf9Zrf6cBqRTw7wSjW9n/esnX7mbnErar8AwFrVITlmyKa3lB94RkcPMzwG+5LAfU/ffnKx77dh70FpVBXqTQCwCrVrAMyWK9x4zvWOpLrmtZu7qGNgTmPrrAT7I4RBTFfPyhm1xNfxxmI0DRpMN5vqah38eJPB70CJ5ztO3HT5FLyE6JBJsbE6HbQ8xG6eX2T5YOK5tAGoLw7va/sgO/Pvqh7RPIHZMO9lreGzpCdD9wKh9Pv5datDmKuaYMftbxLo11Z48+lefcicFjn73MrAPaMo9H/ZuAzGqEihvAjO/JUHqNUeKXZ+gn2PCCaO9zHmncqyBE3tu14GyyWV7z92/S6Z5BppcgPYuUs1N34P3vTnOBnWr1hb2GPFLqhwzu6Si+EfuTA9efeNGhTNC89+6txRYygZETkTqhhsVA0f1C1gPOop4atM4uaeg2VXX6jxSNjO1Xc72fS66VuNfu3KTGf/yOehf1n6mdms1MY9zZGpbeJZrZPFhhiixtctCFUrrCRjkogKM0t18b+wkTANseiXoejQz4TZOY7WRckwfv+ltG1UeLffK1HzE7ZoG6ZrGyuRlDZmr56P9ZefhF/gD5csY+RnEIhq3MheLyBFbz122wJ8Ba3Ha2Nkr7zVK+3QtOelAg2IV8FUV+J1vUwGOXYCZI3NfQWBnN0YX2OZ89685tarKYb7kyMw42yLpQryyzOwJlNU2Gs59EoDPfEhn+3OwVIohupJBUtAPS+bglTqgucLtW5ufshWb3hRXQtUn1+qC178WrPfE1wy4g9PcAZ9r8kBNXw5rm2bi/sx0m5NhG1c2tqsC7E+jU7USmQ2TFMPc03D+NPlWrGi/mZ7ebGOnkeVyBw0cNKKkxOeO/cHc/SZle4j5y6oE0XlvWxAf+cHGazbqXcn1rum3jnQxpbGZgK4XYimLoKTPOtSnu+0eCxlXVH43Yfi2+T1BCLNOXviqr03YOOb83fQEKnn7U7ryM3MgjjhXJ+v8K2VXYM1pUw/2NQVGrh2CCJuC1MYfSnw90hh8vWiDtN/qimGXobZVofe+rzxx577wFTN4n/wspm9gmJZaIWiAZRKjmYHR2uc4SRozqzTGrwaVwIAcqFyKM6wlxK2b7DNLws9mNrxLRwdgP7us6y2JYL3YP8YuSoe4eT89ZPS1NH37VNHzxUIeM/DTlWX3YI9lHdlRynuzX8GOr7bQuDL9rIGXdyJQpk/oZ2n7P+kQPmUo8zzyXrWlNYa9UYX/enDdS9Yu0pWrZMtPM/qoLuRS6sQF/fMERi9TV+dnge95p77PQRulzvzDnOSHjfITax/WnwPz6pFZT1ut0i2H5QNTPWGHeKewDc/Bv+9l9rfEobdvtL9kgmciIBFDKMrE9aWYMn2uf0A3lKWQG3ieDeOTY3qwppc/z8rqN0LMP3WHPWYzR4ZbsMPtLMeW5C4uT5Sc0oG/daVTsrt9CjCGOJvlIT8pWlo5bX0aLh9n7dtlD9zFQHKDpkhBW1JrA9pdhWJENyp0TB1p+lesjclhcEw/fYTrILSBg0RGiWdmjL4ZmwriKgHPaE87gtoFdBcmMcrMrK869mdgONDJWJeFb5ERn8wcnzNK9BlMWTFzh088DJwixTQdbZOTIDuIFR858DVwX1tq1L/zN4iwSVNMCxHS8AKF+AXkorzKbj/zfEa43+bC3PVGni2ipZJxYtHRj3LRHoH/E8nxLuMcdABwyjDFNbM3NWoPpb46qaNvoEPedzf7FPRy5WLT+7zCkXeiYjqArRRn5n3kAfJE4INuxjnAUiVZMucQUyAmf6YjWSky+dhGt6sfYB4zA+HxXx7tvIM9bJ07ic6cvPP0HB73bh2Hi7nvpbYKKtCUMsJ3IiCahCDNgnLNHA6/I33B9125yxEwzQMI6AQstFFRasvLH+sUXuFByV3ExAb/wuTAfRbIx0mUb997OYstNbMTZOxb+drcJEc/LGh/GiqnGvRoE+vR1Cey+LqeKJ8Jmz+qDr/KQbvnAHRLNAGxyQQLT6bu15OYO3yORy7sgxJ7Czv22zYesCZZBTqKUnWqw68n1lPJ8u2EQ+1Xzt1iFq7y4e5UGrXSzOZBcuWit3iXiAqBr41M77+Eg+Z6gI2APp5oOXiW6JDJLUE4lu97vRj8XC90a/qmfOZRK2X49JQ75URo2Ft6U49TLwZ0U4w9ZS9fZzObYtjmVbjV2Sq9vL+vjcNfR2viIgBucPCdd1iwXso6IuQc/Xn7w5Cx8mXmOrER9gw1tXJ+iwURKfOskitz11LlfBpoNHepsBcJcTVjeMpt+FKwfxtbn0gYPmlvM9hPpvb6JbrSbezeFTFeVYzee3kiOhG5uW3pS6tmf2zJeotG2yWNCcTz5CJHM6uIEDo8X2ctcyb0AfYbLkV2M/WDNEI7oZMHjsgIvjmsqXyxARUYIYY79dE4yTt+7Roz22qwj+cgOYGv25nadymwVfO/dsq2fdqlLxWolzJxW2wz0DXZf30BUVHbHPSAsktm+qiCH+N+0ZiZalqCJtYCjOQp4n897sKsMD3hMc460Lc0cwTCLajQioR6h8NsFQK/sp4fmMWRmVkqQIuLaG+0Dbzjr1cezlczafgck7K0Nk7d81CA3C3Zgs5RaSlg9fe9g6k9P1OIeWHiVr26pmJKJFJjaeYkIxVBLErMPZaK7hs1LC2J0CWFuKAiM8tcge5IF/D3CH6Pp6wF+JXDHkisRqsDcLsrmP3ey4EQ6DtloG369npwtkd4prwOeZWx39zBe9ov4cHuTb9HiZ3rUxXwPnsCvBDaOUdHGk4+HxLwqdlS2alF+OQCf/gV928QqSoebt91AcHBmnagXx+88O943a8Zk7PoEo1dDL/Oq5pwW9U8mX+5qmgvbDT3fLDqr+3Ag9T0xt1UbP6dJ5uGHkpjfMscOWdO6+cFeqT9Wy/P+YnphwoSU1P6UYL9S4d/ZB1OgMv7Jv4CpsG5EAtuLOBWJ/MaiPmVpSGGcibj6U5ZtsDzr6YfxrlvN03Iu8acy4TyyiH6wDq/cziDetQL6+0R3imwAfByf3eJO4G2JAQYzEuD5GnYFriWmEReYLilKrKHgtjNGG5zxv0SGCOjEiIccDWTPLX7W5PfbUL9EOJe+eZ5wraariQFBnwwG92IjSpmTxfY97s6bD1ig++zsGjGdMlXfwEuW4WZ+wTvIw970IPzoWJgmwNoUDFt0ggAdjQ9P9ClRnw2d7NvXSktb1Nz8KvMHilPPmD/DSrSruq9Wwp7IC1IDz4f7B8tWb9dcMDzpvNjFbV3oyXLHHSASERJMXjk+cXBfzf5nNFegx/WLzOH6n2m14T6QUEvC7CrcmhvEIcQ2J1DmR1zBzgvwm1aTIWy2ksmgAPtFkmaecc1wUfb1MyC73bbK4s14bGpqWksbPUeDmTL7TbIBHrXOwzU1h/1Zd7zKLthMT9Ix2MKsReIyJKDdk5U+XVBPkggGTU1nIiYenPQk+aulGfAHJqD9zsPaKlBu4tOO7AXCHxHjw122sTTm6MgDpFPIciadvAsVKVmDiBE6U++ci6juTD8d3D+OLX9e/4MiqQF295+gp2MuG9NDyKIdbps+JfDND4ya84z4Kvja/td/fZQe59V3l+ggwu2+3OjcbkxPejOu+290mTOQYLyLgM/6PmncJtkBckwMpqzfEjQxycKTA4yCTQ7EgH+bhy9OQu0zzhCDW152tsfNdcMhO57VsuKBzz8nguL5QJxW9cumZvVv8t+uoH+/ySi2XALoTpEApjXAa3HWUFk9Zon6iYZC/GTr+SHgD89g13B93Gk6eUOWlraajq603svZ0dXAgeSMRO6PHfhDRTx8eiG4Bu3AV6RqX3+bkCxgb67k2EmnCWsEvIJewGlYB+lbvdsRCc6IrCjp1sHe8fMmyyt5Vau7b4W5N1bDPb4vKn4/lk63rW2yKm0pyVFKkghNpBVV8RK2jxoN6BfC9DjKxPhcipIVXFTv53sZGTH4AtAFyUP8KlxbnyMkz7qjhxKyzsq/q8Xt6mDN/eGr9ztb2zUn0wnUe3sb0dncyNue2TAyeXAPyXFvA78EpvZG0W/UHf6KJ0/C9h7wKJ5JNrvFW33FaxNHRhWeS6y4JS66s2HNoa9Kk3/FmAbbn/dqP07Fxw+y6uqoXlyZq0nkx8acht0twXMZoE/pOnqH1RBcunMprfiDvSxhwUfIO7cefx3c3AhnjvkklrLO6ciBTb6MPyfxzg+07/e2fRec2zTEzWkcXYjlHyamWNmRjWNYM/+nk+pPI2WjIfIBy07VUjtDxZZTrHKTqFOziIBv5FtpI19Zv2bNXYnBVmb/n4DRgyPVuuais5yxadz/9vf4rd2sGGybYATRD/9dx5ic/iGXshDtmEhcn9nlA9Tcmb2zcwfLa0tz1j65PY0l2P7rl06VPn8XRb6UTtqhrh/PILfbUa0U5G6goa3U9CKSoQ26GJCLGnXLp/O8L0qU/vISGzmToL/PZ2R+mZuUpRi+6oK8KfFtBdha5l7l3f8aigwT4dhXWGd4LmbaMbAXYPik5lV/kNDtaFCvvDrvuSBn1A3W8B/r+VgzpEXVLvgm1xsZthXmfW0zoNKMpuALm5BN5FrHkn9/3u5AUZb8rJfHG4B78YEpeE8ADcuDE0n+NRNHS0t61RYCqIb06t99AvgBnp0kz51nnZtzp6YV+Yr3+fm7J0qC7PWN3O9UvTu6XQ391grLaYRx8CUCKAuMH3oENAOogx0tKlnBT5fOOwHYMXfWe2lwy+UqQtF04VCdAVmsSgiVS5mv7a439hygvgU0DDxqPhXly1SZzL9InpgrycXGgHDTViTRRX+ZOaTA/cWlZ2ArkxvKTc9DdW1tNpQ9osNse6SrtoVoBFBt19xgNMcGMHEgIa1+6MzhVK8+33d37lWF/CfToo0beJ+EYW0SPhn5ZZsT2xrS4ouoF9MZxtgQnJojB+z2ZKC7hVx0jXM+Ma2O3f+Cd4HsO3sS9NVu0tXwpb3LPVNzSxXdeDz3MSrGS5h7zr1qhEFNZJbCbAlJnLAZgZpCBxsSS5Bh/oWaJ5NqeUHo8rcnTkHZ7nUvfdtami4lbrEegJTJF4m3vk2d5c7C6ehNnfnInNmP2NsOcc4AC1cnCkokHB/OwscAIO/OKgb2T9tiEnwftLNGeIGCdEHpW3GVv9K4+vmaNkd2LGknPSU6V3GlrefP+YOsLLN47rwl1JrqzZzlWjyyaMpxrYvs36eU9PnNkDo3M89f/3Z5BD3Mee7MwJV9JrNGpeVq44nYfo2eUldKJ/GqoXXL0lvve84QJ96SRomJBcoaMIkE4VeqavBPpBneqlC/DSzNBHryTe25aYE8aMc4JPIZPl66znmPylTYxqh0NTmGTuV0f4hoiTDQ//CIX7zYSuDpDsBxVU2+mYCHdigj4T7Oo95mUbbK4m2An6fZuDjCecLxLM9K9JXRU2PzOtyLlRLo9TLQL9lglxg38dnlHzWu/siYrUo6/7OafdUyMl5lBfY+6BHJ9K40oUYDfqSb87oVzfQuuAXMvpmXkfQ/J4p8A3wWC44h7iNGI/NnFJE4TNMrk6eO96DOugBPz+aGr231uOO3WYWjvHQDinTB9rPp1PBv1WnvNIB7TbyKQemrCn6yZ1tfwr3T7BJrwqI33B5g3WvgFFX4B0rW5MsY4piW3n5kDkY1ulg8eD9vep8uzmzzDu4KM0HM0cE+xkvbzkw0nFFIQHuOaF+wzRySKRGtWpgw3DFljL7Y8ktfUqF50Bc2tCCuY0AJuLo40yTF3HLTWnrd94y+FwzE4T0Z+CEPEoK7srI5PsrIT94PGkz+w8XrZllOEmTHxV8Pc5mFk/MP/6rN1LfeaFPtWM7QpOktJM9ZqlbUrBRJn+khd8xZaMcHjSwqke32VS9pmx3905ga9iSn1nfZkdnm7Pd1hHj9QFa9wRq28yPehI3A57ke9h7Be+XlA/ZRgD3AKMk2EpuJeU22OXlYLXvu4BZhn82B8tOQc+k5w6dakr61FUXbPimS+wS/B/u0UrX1ob9kaUx80ADD8z1ebN+eaVlDyTf+kdX2cQiR0DqlcC+r2nyDT4PtCN+c+9TCeD8AGc48H0cozvfbW/mDAhieWVqOySbLulr6+Jhs9bDdj0VzUYi8lkDVwjwnRL0Ed7NP+eIvPBQuiJS7BzZEnz5LTUz/4bpnT+/gGbdSaZB35Gcua3O+6dhKCt3WgL78iLBPxIz+6cvF+BYR3C8Nmz7DfaFqD35ckgs0KDARXoB/xNyrdNSc2BjhVmYGT/+zvv6lo53At39Opt51GKOuZiPtTPxOkxmeOc+cMVT/M7YkSXEjygr/togadZSw0qjRHJnA0TiD8A9CSuS3XmYJQ94CFr0Rph3qCP1PjMPUoGOZOQFNn0qhuTKgmQ8scTNHP4DvpVzG3T4IEs8eJg5remtP/72pQtUytDfTWPysHbbsImvT8H1Byta0/dMsHF/AzbLMWve918/DCUcnvsD/KyTBvx3LnUaaDNSLINYsuK4zYwfZmuy0j5dG0tuUkd2HMIOeMrA9JWTXN9IuLewjVqCMogoUh/cr5cqpFM52zf33iTDdjZ+PQiXoMFwWY3yWun+mTFNwBeBJyRpbV9dYNtORYsnYd8B42LMsZl/Yxs2YAWCtcWiEveFu38XRdUN2HyEuLGmw7uv4305D5ZTCj5LjReBEDmL5chHn+HCX7E9VUws0SnS5nzKZuZuhZKAdL44U+DtXlYigN3qEGDDqcsv87XsFa46ZKcub6tw+817/c5ZoljLDjSDEAFPuTvlpZtEKmhNDrioXA58s2zA7r0mRq3JNQOeWUG7ZqDdTT9BG3zyjsbhIx/UydDZwZrHUmQ2rGdFBD6xyH6fA3wfVmTyLOMqwI+SKzMToK/t9FYzuwIfSnMB9Ggxh8L35r1tcYidItLzOZb3fNAP8EN3NrQyXWH/u3sPfH6MEboTNpm5mGbG8b/ailPEXDbIZ215KfhtJAUw1TCnDOKeqZ8Qg30VcQi/A/5bZaQ6KZjJu3ZDT4SeBY72Vgm8h/hVyij06t1WKJ5AvJgS0BWwV//1MsUSYT8P0J2NKuc0c1WcvY62tMkgC+DBFdb2JmO5wavO5Gom8CJ24tgCP7WvxjYB1icVsz/zMHOoJXHjqrLW4aaG+MeRdijl7zvEKEf+S/TLSfToQVgI1pzdQBsj2M8EtMQNWAp+55dT9tiHfeiUTmg3r7mHddg14v5MB9B6XVvBvvvhgSpFoDXvZMhQeWPB3w2P3j0x7i5o0FKJuw1cwivOSea0OGfbUULMz2z+MHyKQ+nzYsqPlkI82lpqlSV38QLx08nY0206jE3PpWaYwCPiDWMTIpdZlowf1Eje7yvigb5K0JucK3PfgEu7JeewtIC7DsqZ7kdboSr2hckjAp1B4Z2Cvew3uCiXs5kpZkMs49P93LENNr1iePvAl3kFHuXShljL+Zuxr5m1IBzpHwaRDdMkrHnrZlqdIM4+TgK0IuwJ2rV33pO4dkl8cMg37Xmv7PaSDfieOuRFVs4rm5iMh4Ct7YcI0Sg0+AXQjcD57/Ooz9wiSVbsgX/5AFpllyO1I2Mi8+HrmUb6W1ol/K62b1Zf19QHZiKtiPi+7tA3trYQU00PAR2mIlvPA7B5h/C5aD9pkBwx48B1S/LO38iD5tlYoZnzvGHRxjsj380u2xDn265ic5jG8gGs5YkBW9T5WmiIQbsA94ikUuwP6ChSkZgHlem5ZeGrfP1x+cC/zzGzYN/ZZ03+9XUE/gtgf8n8dTf3y6TqYa2dP24u2n0K2hz0BiuH5Qjau6jWv+b+4ULM3XeY2KJX09G6O0zL0znwBWcT+Jm7ybOt8n7agUYCe/7/3s6VM8OeC92mTxLaJ0QxoJths2EUHL3LI1jjb4iNtOTc9MexMpo4gvZeOsoj7LkXxG5QOORbFMRSmmRN1+5Fz2/KWSIe//VSgK03s5X2lOYhsdKeIDO3IA+XW2abnpwkb2yy1uve4Y7an7UP32/eZAXihJIB05afRGnBvn5yU7dUtFeZ/7kR3gZSExuIc0/Mudsw/evpJLi68QLiaKE//o+pb+tuFVe6/UtcTEb8uBwQGBsRhC6gN0AewSAwsYmN+fWnlN7Odx567O69smKDVLPmlKpmHZ3FVYNntIcL2iPNehKcevakw1ZWNiZpgJ6ySEDL/Z65jZDndpzhDPJYLn3kHewW/vm6C8AiJvQH9nmn+F89wNxw3ZdiasvBC5SPAxVYjwS1hfzYlioqLRzMa7Oi+EQTyOm8I1YbCuMV3ceJHPhD9S3ECnOrjtyNV0gO768c/z1FoX6IAB3vbF93HBpie0OBy9CAvJn+6DpEz9KRb9hvf33T04/ZE0YM9zrLHfXIV9VnlCcpRGXtSAr7PzqZOqDg/ZEzva/P7xszx+n43MIS81wy/vLEiEUAWqH7epo5bKA7PG7miUYT6OUecmi/NiLOq3AxvqYTER7PbWbJoV+oA1ypN5oOT6CpN/WAS2LtzT2SyQEPbmZfM7QmFL/uHcx85ph18bGyTI13HPOPGTTmcuBMTqdh+Wa0Xan/5dWhQQjjOy5XwMcP0L0e/PmH6UfNixb2q50y4SHAtA9BtWzCeDoVkzkfeJ19idLgNOAr5HeWC0AvrozHk1sDwv564hZogfc5ZppMmD3uxNWzNPM3GcHAy9xm/GcJX/1U9q40/nOZo7wDqGrIH2cK2Arf8MV7P3/PC3pbU6ulFNQorLVr6rdp/n7POf8G7uZgJ9tQgRKCmk0O7/xo4Y88vKxNmD2A62T1eR4SGizYaZ3qOf9Qa3OlzvujCjmj7OvFewljqCf0n1t35KJW3lUhNr2Z6X+90zKEPXavR7yvkJaiS9zGmojUkw04/ZYU3M95vGPw2cr0nA42P1GVN72nGz94Ks59s6df7xA4T3JcYzfR8LQa8uWoIA6nkTp6yYF3l+zyqIu9qcUfBWs/TuEMXB23nKljLpZHKszcK+wluv0smfHWnmKQZYd6sIujPYUQU68+KSr7CeXOftPYZsaBKvOgXxjjF1rsfG5tv6vhYlXBpPMBPSDDtdIlYVXIG+jchzQetOEkcd9DNkFF7bTeqb9cVQdahi1pOZIk69q/e/PMmjmx5qgad1PloyF3JwExIxu2OFirC+TXknagAyIp+coBZ9laWv2TOfY3DvQ5E/LI0QQ5B3XElV5aKK8JvTAJvyw1aKsW1sunwklFG5EVEMCeZuoSlluK5FRZjZ+5oGEzsu5t4G3TSUxH7MYX0OTmmW+0yK5Vvq0gN1bAHZh63u6JT75V8L6kYQY8JfCqTmallq+c8s0p6MznbOPBeFMo4OAE5cUuUgz7Zv6Y6MkDjxo0kYfkurtxrhPQm7s6AJUb6JHascWdhwf4po9uBhwtvqdhHJJgG5RisZhWr1nPTrJKLIp4b+ZJJU78KQJ4ExF/wN6IIFZdwKk7N15+g0YHF1hNMYUq1ISZOa1ua+58jR8FaNHmis09SOChylElHfjd1Hyl/p/vHCZRs+GB98Mgr5YjciB23hpH0zyfj5mDy4MTLBA7bnWeYdNL0Dj6qiCvqTVYE1gX0GMLfm6jXMdx3tuHyrK9muO4dGA/+fgDh8tLf302wiYkmsoGBbDHdxHgny8KwNWCFJUf35V1uRNduhXoxAQ4TxKoixjjlFleSMRsZiseWQ+ccsDBcdWREJ7pG0ZK2H0lyCfwqlcfvV+5OGlc7Sq2POGdrLDKN16gPRvQnoSta+7hjf9KMsSaRZdr6bRXKramTuo7p8Y7Jgbtif0TinfAe8JEEwJx3p+YFzNn+iCDfuUv3/R/5cP7kz63Z+BQ/mlEn7C/UGn8PHsN/JkkfFWI+PhyQu09s2JE2BYRG7RZpCAWtQUxveM9PtYWhtTQ5qCZUVVwUunWBS33wijj1Zg0a7+a+zc+bFPuJg/ieGVDNTM+rBXaBZS1u3Jt7ieOKjYswszOhGe9U+D6dHh3SpdYueldhHeZR+1diS8PuJusA+1X1qum4vbIhgxyl06kpR8ZN73H0niNGe81ATx4n/NmqQpM+RjjhCePki2thJxShw/grDvEAp4cremBkfGBRPvmvD1L1tq/XIiSWz7iF4+ypIsDM6vvN96BtcieHPJhWzVIG4/HMy2wnwAH5ZBLWW94qz4DVs21qT/QccsRcmvje8snM98F9qb9TASOE0T+q0HT06uHzsz52eFC8kTH3xnH7inkcW2hAbArgv+NsLCe2RA8qU060BOLGACbx+YpQmLV0WTOePus045COsJ+DJov7pouLkVoraznVR3JV/28VMN+w+wvF3f/bOBfCfxe++Bw4DocPi9moCk93MeBMBjuq4yZOscAtJNvZv1aSxMlm1RgLDWfjI8aYMGYAV9Xo7xDPJZNwF778MIp8AR/d2Wr+gDteSZjfwWejY+OJJhN12r4AizAPnDITRrawGPtEfL94xRozkZ5VR/mDhTh2vjcju3IepWckJJZBwpmsAfV6ded1M/RjbkA7KAWsbDbA96qXp3nzHhgsMA2edPlH+9ug/5dRbC9Hx0C/BVngCst7xsPsO9MxeTWg/pMqC7rVb0l0QX+f+AKH8Db0avGbNbU1UliZVZSKMDTSUKckya0J9NLD1EVnAL4xaP8aXgJuf/m4ef73cyyyYry3kBsJANaT90uEUxWmSslKKs30CcZd74eVdBvTuPX41WzhLvdtVp3P4cVnY+rFCczy8veZdX6tdbn2z17bn0zi/kUejllC+g+eTsN2yGloJ8p8WvmMaqTB3BvKgKdniJVZJCbq1DmJJSSwDt53X81LLjjiBwV5ec6aizGlgzy4sqRNLPp/IwjH1vedAobN1kbD/ade/L3oI9irgpdNP1UGe9j2Dt7wAKL+FrC/9+zj1nDXgsTFv9pvVMB1JdNZ2XZ9klgXlo6gLV4KyEBA9/kdR8AD1HG69v933cBLrzFgMFj0mOXWYiRos2aNU5qttyT3nIlU8HRQrhxllvC7OR13suduEw6nZe9vAHXpLC+yJw/Jh0PElquubhYtG8h3+LvU9HbykLmuUfjwUIpHiBfJdRvVlLIH3juK4VcBtj6w51gFYHiKkz+sLeycCHY7cG0TmH/3dOi9+AbQw6Z3o7W1oK94JXa5GK9L53kDrzeOXXtJS/UmrvwiedtT3o5A3+akqK1eej5td/cUzQN2JmGo6tfntUOi+Kl+Z9+Oj7fHdG1nmIKgx6WoOGOR2vvcQtdMqq/BcMjhlhKVtzWztI1giey4OJEQQ85/AD4C8x1MfU6Q94Bv1z/PZMOvWZXLbD/WhWyuyxkZc5sjP8E4NFP3rWf0uKm9nvHgL0lwgYM4m+Z1jdSoIpY22PWkc+S7iiz7ATUH8pG7YhInhXgw8k469nsCdz0VTv3AL7ng+ZfeBezxgksWpBvFi6eqXXAYrqUWoX5yo2HUGd6IVK+6ys2bfAogagsBega0C+/d6d2/Tv7NIaf3SW/3unulFW9fPUu0cRXm6MFyjK026YnJfnFNfUkQk2mpo8K7VU08E6ME+ATkbKJTcJsqdCU1j4peT+lOMRc8tjU8cwqIBUdkBk38K009xLhvfoQHdC166m3NqeCb+p++b1XgPUQjR9/5CvwuMA7VOG2JbCnxUiipPe+BSUeHSaz1zFnfK5cjQQjYe6WwA2XGXLvg7oyNb172Hp/xZdFOZlqx/TCoTcmIHeYuUAFehDx7pGRh5SREQd4B/vPo5b9Xa/wORb8w9p7ap65n+0GsJmIyT/105EGs08DvEo7zuRIhqP953F3A03scT/bQC59O1imv5KsJcRH4yCBaWYxXm5Y+LWBZwW5C3/W8QOFPFLSOAFdF6oRBczU6RaYZEOy0kGPCVKTcmC/RXxs4C/91cEycuRWb3wlexwQuyravBwmgk2tT5hYIsAyDWV4CrHFQRMl1gT8hSPc6yfpYi30lw36f65gP0rrv5poGbSUF+TMQZOpUJaveptfnYF2SR3pjZkbxFcCuM3PwFvfGpG5yod85LdnYqmPyp4qEexBtxAb9N0t6+LNSTRrjtCDD8ADQvKZRP+W1Ndd0rewX7fT/xdfdx5sfe7MPRNo14QzxAo6kAE0LOgE2vO9GOVk5keKEKHMRn4zeAR4yS6xNhvQPpuDk9iQp+zSyVbsTi7wFydn/Mbc7Klo7ODna277Dbg7W5s1gRwIeDNyG4d2X68cl2v8wIPmOeQFc89cuWgsgcBUlvqGn0Wg4zPl6j0dZNg4fEwGnEA8QFaaZRpYDkPIqgZQgcXfvOwdcE+7yecY3r/hPa65Rcuc2KodzMmAdrzbiYNFCjFsfYwghoodMm4MFL6XHFVHUZswKoU5f6yf2zQfSWpmlpTjP6/p5xR/bF+4IWt/tymFdrmlN405ixLenlibh/nvzLpZcm0RHsjIXF41xiOIzXnToTtoKXNv/qjWPWCzikQxAQ7uvoXpcmNzkgwzSin5lMWrp3geGiFl4/KHGgiGtXYAS9NmxAsBHQfZ7J5YcYQ5v5T2RDOX34EvAi9sF66nJWGAf3380+gpaEb+MLwT8MmCPXuBHFQBt/dAw70wypzzgbYDnb9yM7M4z9gicl/uS0seYL+ESjdPSPKWclBeudw7DShWYrupHX7PBy/mo5mxfLvysHSpc1kTq/0onXgjhDrLTr8l7u6lU47A0T8yfrlTjnHTty0d9a0xZx3O5n4a5g0293h8OqYCYnPUbsb/QazPvRDLJwn1rmHzRdo7SxbxBb7LN3DmFbTgETSe1Yyxw/zXfPP57TR8PYBr7sw8AuWqLuV816D2eRo57DfuMeCVYrALbm3W4xpHv3M6I06rsN1gp3cbyNBmjjBw0YrBOuaR6VHRRTV+mV5bN+nUq78SOGFMyjHu5Rib+cg9hrdgvGbhe3VmVDvzE1PD+SZMh6LeDZLyN4Z2vhgvbh7iKQ+mBbv/gHsj4GqerEc+8GCB/d3fgYNXePBeuOEY/7eDhaYGuBbESCF4exPB5KgAvUGOGZk1ZxK4W6l3GXBTnISanoL3+/G5fUifXWn/bmpoisZCYy6AA9ol4PLNAa7unDhucTS9csod+OPPARRU4pam9uItKxoXcMAFztgBX9o0zuVZw35O3PiZ6/1dAa8CTvFMQz4yh+vqOReq768Qn8aznR7tzCbuRBq2NZ7gqEEvnXJ78LVcS944gDvAr4KHsv89Uh5sTswO4JkSXOgpCZdQ9I/V3LGewtuDrrpTvz0jaAWshhyqoxq4iBgmVFkecJP22tjcq21pQy5/1R78QEzuZUQcyDkBYzZKQhmX/B/oUl0wSwnQnbtcT5eqIG3tajvpJSTj+FK7+KpQsMHuLpb5luFgTqnbxlk/E2oDd1hJf3zenOPavu7a2mQkzxev/Z2b+XwH9QCcUuNjjvCBgp4AbfcpnWnknfpIII4rWt5PoL2Oq4l14wVtvG1lBlrP6BLnaMcI56b/I16k9Ye9Tj3u/HqUOutKK3c0Bd1640F7FKZHJJgOGN5H3RlvQrYA30dqSK4piwPgWQT+3uevgzhNXGXhj8zV8D7lToVmLpTamJ42PP7N15vTIH5CjmXGf74eNhvM42M+IOOFuYhxd6/F3MrReBlz0CzbMqHtcHTKNS12KTX9Rw7gHmrHbNUfldgs9ThhzBAFjj5W467Pg7873wriH2Kmt3BgznZlUlPE8oJfgB/j40pmInqnYa2p0/nBPWS2VQZcbBwS4plYhFSwS3J08UBHWUn/7omw2fBQt9zUpUdkX69/Zw5lWfCcWnLIbc0x4IEM1ScDjQj8OhEiHnjfXiC2r7BPLqaWoDK9NKJ9AKeRvLcekNtYWkxtZWPA/i+bW3PBHH3Lo53g4Tvkyz//+ULCv8sQ+HEIvKnDZ9LHYb2iMEW7y8FWFbe4zMZ/C7X2G1qoBXLjsw74Yvo3D4AXv+fjZuZlB3lrlH7tyCAxHay0WU5M90kXv/IXAcYij84yloDxVcCPmbONgbtqwHeI1C9znpNnlOQK8VvDe5NJ7ykvPexrq4b9I/Pb9fDcfiegl45Om9fDb23Q20kHLnfxW2X/+dsEct2vB9vMM9bl0XlcjT8O4N0b4PDbaVRebm0RG3WlnNJiEXtUfuZJ4W0U5DXQU9x4C5z4v3sVfJlz9KDyv66nXurD2l64k3iQE185pTy6bQgawJd2di17nQLG/9Tn7d3gd+KSM7Y2bkr3lhTSqcIvD3TBmXXlAnjzKLv9Ymofm4Lwptj1NIw5B9WfouwJGHA+RaD/NH/1woSV4JpZ8YFFO1QJm1ccm17MBOIkrB31XVvNsxalpzhfsJ5C6sbzwdVLgpINDfcbzOJb2X1tql7lObMv2Ro8Gn93BB5/lEgneYheutIrTX/KuCt4L6sSMP4kbMEctSPM5CJuqpx0NbaftJ9yaQPu8cmFtZ2qcBbEwldmemVdnZq53nU/W6Xz8Crjn963LsTkkY1/NTBPWvQrfP8OuMSc0d0iehQD779UVrIBTJE5Im3ilE/JyQLo4gpNYNfMB8j1v/UvwDP2Qssf0KQpaO+n8Y8EDuAp4JuScRMTr3PRrB4v14zpED4nUAzvOFs+ctDYsKd84fNWhjNowVhK+8ul7i4FDFsImuykkwUJUdBQ9Z2zNmAavo0GLDa9oaix04BgJR5Lrf/m0BXKWspUgGYKpZmfGjVBDBpoIZBTJF+zNUX8R6F2T/vfvP1t5m7/Nxf5fSFuCbHVPBtLu8mIfzIdVxCf1wy0Cbc5KwU5nND/xZfp/yQ9F9mwzHyYQSfqGPTMLrPNfMHmarwXqen1LNSBdG2arbHhNbji5cqH7ZwUifGsMH2eXRLgAbjns4oAg4ftSCxZgeh7nelFckCflfUO+oQswOfTRAS27LfXNNq72NW4zm+gW+O2QTJuhvJ+NBX3lEQkUu4JlcDddEcCy8au3AEu+JXOVuOlcQrKjfHDT/L3F8c+QN4xvjdvWf91h/j8OboTrn38fXC2P4lDYryqCcKiIIEGnW7qfZa0Hst7EyZuVYB2z9+9RF+8k997CcX3ZPDakuEj0yoBDbw7uHH+4lGnDhP4LNB2WCSjSqhbrqKXP3xtgI/Fz0YkCw9BEQVqJ4ynwjDPPJreTkEcY2fqAB/7lOKg7vREYC8qtLPLAXiDRaSEnCIG/qpZ2mTOxU0LM62T3TmHnOLvNxm7udTMWBSZRc3cD8bfko8tiC9pAxfXzEUc9ocLSvVYnd+N91NKmN7k/pcHcX6hfoyqHpsag17R3av/65v2iCSDNr7Jz2qU6GimNqDp03iCAKe1Usoc0Iy/9boy8MZkDeAn1Adn3tpQ/ZkzdCZ66inow9MwDRKxJw487wR8jLkYC41fd1KSuBd4hvaQDY+nGJYRIxVmemq5s3yrFTABkPzU69B4T0tLETz0TjXq8OjMx3ps/azb5aKIQRNAbuGZpSzPxisGjYhH0/sH7/3lpeOS0LwjzFKkHrnzZf/65hT6kY1TB7rjVoftIJCqajRJPtgrBm5I3N/7f9+4tJaCfzJffeQ2skg/HSq037BCAR8r7YpLu37OL87mnWhpN2IWTDTPKkAOfc6+0L05F9j8zoTpLbuiEmPQqCSSprZtkzCZMr+1c2tJEmsZlQV6BjSFer7fTb8MdWadOKCj2ebO6L/lL76AFyjQ7rmzv7JwewBdHgJngTzIfxqBbgko6Grc3xO+dyj9WpJo901dIO498jPGo9wBrRnwsKbJFfvq08yzTkOSc5QZr/6VW97LB+aesBaeFTQG09/EnHxS/AN7Jc049jPK0zoETBr3T1b8W5ouniAOQia2ER0JyLPfeToxcMGUF8HCDf/Sl7VyJy0RMT2XByU857VexhdHhhoYWeCxXl7VYPs4uD1BVQO+K8QCFdAAsVOoUjm0CeTPT+zuN7zoLTIGD6zlJbO8AxvaSjF1yLn+LrX5nGWDIVeVdPfSsFYiFHBNZNVDXMDv2fNwvxifioPzbgPnC3nIXaozK3Nkp+y2yrQ+0sECTWH70tU5ixQV/AJcjQtxnt9k2NpZH7vC1HDq9iEd76VhV8oeT9rzN8JIcQovj8S8CwHk2i6fdEWlqSZsbGBssG71+d1RunRUpFPZ7d5+fegYfvB++1ABALvY5iRAMgftaHrrpMWvxP6r+3JPPbqbecoyih+iazPQON+mjtvctTH2uFedHJqxNdiElGOtGLTwqYtN/9MuRYGbRnyEGPvEob7TaHemvKXAxRjkquxE9QP4yws3GOy3LA8XCzbOnK272cwmkFwnxgesHnrgsOq/+z1n/qgGyyNF/MMglx8A1ZqeSzLqGX7cA/30MD6mQqtNY5MIPq/M3PJKz/Ordm4D2LDLKe9rrXtK0dnMFa4sPec97rHAwN3xQQU4Ly1Tjx2fIScnChYecs3d+JDR882Wpn4vvHmswB627FGGj0VpNTOqohy+/2tvgEbIj1YL/FXZpcASuIasxbY3czo4jdNqiHVlSwx7lbNVksZtee7cHo2ZM8l50AT2J+j0b9UnDrXsSy3gvYzxIeEKY4oXispXTQXwUB2cfCxOYeynfOeAdtgpnSyCzWXltmMKfKAqSmDO8xP4CJJWK2pn4c2InyfYz9SdVvrf3APIX/xcUlQIiqtkWK6lmEbmTi/OBnHgPX7PWB378Oub+7zdIQbGFGEqYQ/V9Gsj7WZT2Qhy/IzzsVxqoXOsgZB0+KIK7h/t3qo7+Ib2Ljr5uzuFNatcrHmPHqeg/R9nu12ZaO+w3veGkgGW4YMgdKjP8yMtzGxaPJ0iBPyJXIhjPfDg0VJIUVteajzRTlrZ8Ps1RRrlwClPgX6CRl5hPb6BIxxFf3meium1NyyCMIZcDRiOIRpJzExPfqCJ7NXOeEYDpn0Yr4/ase2STSVBPGUOiX5nYNC4rfoFcAmPybBNBeSQfEwAz+KJCCKrjmSS/c1c+D64pp45vnHeLCSK7ZzFiLGpB401QwTLqkfmnvIHI+Ib/x/IwX1tm/tze5cEpMt7WF9uvHA16A6SAtdOSfTvSZ1sqZgaQfe/+GEM+T9qBtsx87fxYAelaJekANwK+N30WwCHg5yEMxw2TzLMqWA4xOHjyYPtd8k80ztol1xixdWTMfsDfl+u2M2hneobrS0V/XkFZ7mvY8hDB2nZR1K0UT6Qw8HpH6W50/7t5yKs5BMGTP5kApszlV4Vl01pva8lsxwplofJy6aeLs23WeJIC6/xpwJE4OH8kMBPXuc2ZJDnGnIfD71D5ZYbFaEN7KkI9CwG3MxABx4ABWzIMwfYOyUL5aQ6Geeml6cgtyafO2BgD/gMM9uhkNEXcJ7GnOu6aSgLyLsvfhiJfLvnHfC9Qe2bbqfz/P2RwRrAPhyVaDlxVFAbX65BahoB/q/9tdTtBn5PqvL3awb8VDptLwWPyfl9k5zfr2YmN8QWTz9AFw9/8x26NMKfcpQH7u5Es3655q46c1UBePoN/Jeo53YPOu+Yj19rDayZD8xmne4ws4Omb57AOfsKdFY2eHfCpn3dNZbgphZSzof1awO07fVcmgXAYwqMMqpNPyzkPLTC+yHYxzfuxxEk7EdufmfBw2pYVrW2sPdil65fnqmKbJAqRegt+RAHZf9Yj87NzXjjlMB562Bqc+DZr8+SbnyvRrUYv+oEuABgJ+A9/jGzVnKuYmlmQ4TLAXLJnNPW1B2TpNttGPq6UtDGpo/kNCY2cwMP9mxURbsJ0y9H+ioF/nhJgy37y1/DdM4LZL4jOgE3L3vAwee2z7rMqqz4buqIzPxa45lRWvYHsCk/9/n9xOMiG1WUFtnzxLRb2dOeOZ6rIuB6oL1+75567433/6eXVf8FugRwyCLfkFs+S7uVJ8ghkEsyYPT3ysKwz+KE+rCHLTIDVww47LSKqpja2jkJHGO927Nef1De3HOHl6APNomzueMIP4ALvDjArycd7A+QSRnoy+XCwmnCdn9Xq+plcFtBA/6YmZ3Mwi7hcYbd3jY6un6CbiqmjiHtcdNjwjwf9qhn7lAht77JdUeZn2xU91c7d6hhZ8nezPq4bGobW1nRWLUOltMIXHD9r29U8t1PHT7uwKlx6rek6oALw14HrLnlAcKnfHYhV65pFH8QAZ99nkcKuJqtKi/F8uLzFWi/jfFmEsFjpZ3x8Z3KxtRJClTUzJylqh3gxhOHMsCO4QTTN/6Ys2bdu5L/+72PocUE+yoG3JW3rNM9aO4Jh+jnd8ZO8KfN/ZT1doXkd16oZ0n1t+SgFzuFSUg0sU0PU3yGvT4wyLGVX16FYG4VTkSa7gUz/3xVkHvkADwjTID75GJ+imC5paFd1XyC6J9e87+qNPR+Uh/0nm4n0NEJaJRv4PKTEB4zdWNNJEszy+LU2+dakNvBvjx42AMWLnsh8A7ykc8tea0YP0OOgH0pNzTIHNDWiI2TJ9fXPN+by5/zubFK5xSiHNZrKnvIHYOKgH+CbsOQS98d4B5WjeQD9ii869irx3jGXOWCqxB0jOSm7zKMZSIQcOjYAnz4IVrfT8z+pkH8x6OwD5l+YHdB44/q148N35W4OcABC8CiQXRxWCFU1pRd5X9e9Rf4zIgNC8gAOTU2n+rw14+tTAPj8YKrPPxy62L3UBGXdfGaXTV/s6A1vWfAN76AM+y9pN/ec3cnaaQcbvMD62ddaXO+yA+NMz0bZjQ0+cDWxfTubyTEWVaYe61W09H02dyedT6XwIE5heciq3ytl5S2qVGPl+Nzmx9XksgACcZNH47WpZmFgkATIzUmkV4hp4Ou426FINd/bDvuBw4LYK+Mu48K8kfSb+AdLpUIvB447h640mclbq86B6+haDhY8gbcM84ddM+HdgD8cOiwnaQ1XzHbMoijOO+98RTtHziMB0XjG3azZxJMxld9TCnhotC7k87ck5lnXWjgrt4OOLGdBNarFmtO9G+/wk/t8+K/GfAEvhfEnGPi67I5ODIz83y5A7ndaiH3GU5gBs0Q4PJTVnXqE74PrSzppf7OYJwGLb1XFH+U48WubfTC+WviTmkOueIUzEyO+AwKeAVNdwS+1kHM3WWgNtxKjMfXAVS73QQ6rl08YwsXkIs3JVNn4DeSB/gnD4nM/WCpHPJZ62xlv3PF59dznRt7amtNNrjAD9UDVlO5J3a8ll12JUE8mnmMuIPPX/FZinIDnGrDAzLknK/AdRZuYY8PE02D+dg4zD2ZeLS1Bxjy2fiNJ6j8P/95yuDvbJ/UzHexEit393dCEeTnZQP5g4gg8VKuW8m4eV8feSCFglxFwzZLghs8l+m/Bh3G5R24isXZDWLw3QL88XJbdYB3+E87jKC/7cb4N6TY4U/Dvw+WqbknhWTLWyn0R8n0RlkTbgL0Sdn8maD4O9M8raL4rgL2KIFD5g6RwDsdyuUxAakox8SpQPeQCL3q56cDaEaI70PZL6700SiN31QoSxx454ohKUL7s7Tg2aO2hGC4VgEx9x4sZxfb1KZQtz3kNgf8lp/ADXzBJGi3/lnzdkk5XjD/80sJK3fXNXxi8BlFDrnJeJpTK7AzC8eAL5IMZFcP8wi5wC85MT2imLB+U0OMMGcKyYiXg4MeZEyuDKGVjY3ThLMDnH2q9SSpE7/qYN9qM581QnE+xnY1ohn0USkHPOQ+HpvhHTDVS4AnXoB3X4g2OhxxIuxI6Al4P/CfsTW12CXg7wMw5E0E7ROf4bNouQoEErqXr1r9rPnY/iTWcjvp+Eh1vK/HyWViD7GjQ8Ia5+CSGI+9K2gDeVnFaYB6heB7CPV26phHwsQCzudivy0rgTcnH3CknyuIMeA++6sKX7X6N6+GlSit7Xo6bz8JcFbQOLeTaIUqyntC4bMH70qAX+Uo3pAePzOxvTTjv40McWz61DACTRSCVg9JJ+neBW4Hmd52hB+f6bC5yoK9eqXvdcGMz/CqOmJOMD6FqQkAXD24E6Ijdg7O7FIfvQGeJym7PcpCPYDnRbyYkswBvYfIgXboJkHvC8iMp05/HFd9ofY01rCOsM9f73AQbOtS/e9R0+Re99seO18b2O8HDFwaO4uXAI/OhTeUlvQzPl2TwHjGJxDrSCibbNICcPk5f9dmvqRtfNB+/Tt+yKDNLOjIzFl6Ya+pJyRDfAY9sQMs604dLwBdHuwDcsNYbvjIIa7xZ12AvnVaU2NuOP6BOWaOFVmPltH3+M7NPWzUX4FTLVKY2sM4rsN5Vv2f/7wvgBOcImAXwVzmoKsBK2TZTwQYWgz6Jzqu6kERitN8fquEPIDmP+aWdute+9kaOPBnxlvTxkgtiW1mmSIb3tsqQBvnpvaLxS/ceLDB9BSoA0YT5EV0oMzrmOD70uYPRRGXwBxqii+wJ7JyAN7lw+9i3M0DUyMTPxqNE4Z2MwkukN/2T+7ICjC+U8YHh5fAR3cv3OiImfnbN8Bf2Z2EwVpF0sxk7SBnbpoc3mNo66O1cUXIB8DC8OB4vzU07AM4pf7nyI93txR7+7jiKBONXXN+V8OXVwKbyweP53z36jfn8BMb3CHTTfvJg+mKI40rvQvysLyf+i+X+OyRWQRWsWWiUwT05J1ydKjsuM36KaZItjXgGbch96HeIavCZjZ345CARZiR8c/7aJcxDP/wG5BsAbr+E1P0aTTGaQxcet5WxjMH+EoIesyu1t3V9CWWFrlQsc1Z2Bi/8PEkjOf85GdMt7T7Z/refpqPuVXsy4Z88DcLKQm2Gwy8MIkQP3V7RxZKSyve1RG2VbA885UYRergcfps+hlVET6Tlee5NVVN4CXKxQ7p0SMp2AZ0/6W2tZn/eK1Cj+PfGQD/14cI+kjmBZ6aQEqByFGtpYMtdGUFvA1XmZka+7KLSQl7jmt0ScYpZL+9QLFFAUsx0pwNOqWdXMw9UBMi0wcJ2mqqJOBTsqLXvflNRM316DYufm65mQlh9CtwmxC4Mob4iEBjdU3w24O+yrX9bpgGXkDuMkRPLgLIi3MF+1xkLhbSmW9pxHPQEgXgb9twVUHMv7gorP+2gpweK8vGpp8N1g/+W1fK2n6qlX+A5PYP1nyApQgBd/OETS7teC9NrWNH9lWHNfA44IhsycPHkwReln7cFjXIDWh3U9/y5394tICjDdMRh9MbHWO/ofjJAm84wBuD3DeZuRYEXUD/y7H+uF2BXw6mJho41B44ZXZcZYb76XawyKfqyaD0xUk56HoE71g81nr4mwFKyw5yg242xp9SGp+DVe2PbnupfWnOOJ4QN1M9vD8a45vQIWCiuzf6sY1UuF8TkNQN330cn3Mhz+8r7RtPFfomxP6ZR7rKOwKx6b04m1tZzIIYSGSklkrLFjj7E/DgTkfgKQUCvjbnqZkxYDzN+2XmjnpWYp6Yu4uw2yZCyyPlhCTR9Gk8a3LmBbCnXOCPh7zvPW79nWPHsF9EReM3Ye5nxrYEHatBIb9VnQRea/oEdAfaUzLLdpKhDSrg5+a+kq+KC0ESwE+bisvD6FnQTYHxgWkGbZVrfGjCKTCeUK9eGI6apR725nx6yc9b4J/6k/Sg20AXJIV+1h3qf88mz9sI4rP89RpCCECkhRyDr6BZQzEYnw18lC7PVLhElWtmqu43Gd1lEEGv2abPZOVnGWyPuF8eYnjc+ahAL/Co6ZBu/Hiqae+BzmxTGni4aAkT6nAaeFf3fAe6w69ByxhvTVKoOQ8SC/jvh2DokgfkRlbgLZq88BDXNoO4367cJWZGmQtxDLwW9diynvDvT+Uin7rA9qisJAOe+zEfFehO4+eZQIzDnnNToT5KK05ycbNkYF+Vs3HgWVEmTL/qX33vRdkyrzvyw8K4yACD4Z1QyEmamXzEDPdC34m/d0GrfIhBr2mQXMWwfx4dMlSgBdX4dZXnbX8aNhvgsMbzNT7pKTUchbncgzh93acwYEdFw9rOzCE09U98DB48sDUNZhty6q3scK+GzCvPN0+tJAd8PTacPZrz+8I0B45lPG93Ig2WVfXNtRrjJ+7kymn7U4OmZbZ++aWs5n0Qpm+E4ZibeeLu7ljbMpBP0xdV2kfH+6m7nTazc/GK7fK53VRhcocYMf623zxErEK9e1jxKPnXSix8O7qA947XH51mhdj784MFbp6TPnNTKvnRnTwh2PUUQA4HHtbo1nzqDTg8Bw0XmfpAFWoz5z1r9NdTRhqwUps54xEN5acopp+T6ZkNv8z91icfvIwx+eK936eI9yLCc118rbxvrw0HnrO2EeT+DLAqTfLtAlhrzp1FyZYwoT3oQHMHc3lSBx3gZ9sceCLs7Y0Snqh163HN7uUAPM7lfuL8za88YNOL6n9ZKegLhWRVC/JTWaoQQ8ypJgw44pGMU1e67VV2cccQufP/ZiU+/vM4mW+1H1h10P4o3t+5L/e1dbviYCaQ+y7SUS+MopLuvvMQuHE+p5CfN5LpQJm77A/gFKGnJcQ1zrf7Jth+y5F8Ck6eKWB9xndrEyWGt1XViC3YY4CHmClmPON1ZfqMTvCclL+8++be+DUTbdZMV7JfNCt2VTJqmriYlxSYtoNNb9EHfNaFBTHKI/Y8IeOdhXLBFqMTTV+/lwcIlK4EDq2j5Az8z7HXPLA/1dC8NBHsaX6vQI9VNvkxZ8H5iCHvkWvCpeHNnGslxBiDtuI7M5fJzFqA3LMzNWCn86yZ8TPm6oOy6S3jOjbzlymTQ9J93WsHl2SMX3kZ0V5ecgtfub/7aax5PQHDzEYEOvbLg3X7AY7jVAPoWJ9/0wE79agrLLioUes04+776Fhec97S00DeeCCLppep+JgZ6FECGs6Gd+q/dGVjeiMp7oFbH4FBzvl5HmB93jBt307n97vxX8Eh2SmXP0sBMV3ECXBRL432Fi7QTg6Kl0zO8A3vkEvdpmvccvCOmLWJua/C7uV19rVpXI7yoo2SDpcKtDLI8BA70zUbZQA7aC9B6ZRaHX5rX0b9yYv4Rgrj6alL9Zzfji6aG/R1Bfz9lNZ8r20EshM0Zw9rY3HgO/g132EEDfzxe/9lqQ/QMLHy/63M8mbq4B/MPHOOaIEGviaDbgn62oCslKTrV9BB4cECxRLcFiziA3cIqcOtme0VQY60KSB65pDInDG9zm0g994gx3nw3Ldk7RcR8EBEsUfDfmPmr4EqSHlI4PmSzdEOHrD2gVwJhrwL+yNOgPOFxncG8qPxMrcrS8rKlwELt/S4tufaR6/1Sk8+T9UaFwq4blboA8TXpRYSVY7c505MeA84FqKLiJDgbiyy5wzxSyKp+zVxjCayndpv1yS0HokTAO8PVkFjAVz5kHUkI/T/5jvIYmeLUBlPu+H0MWew3nPye66GQlYEv7Nc6DDJZORLbu+Mr+hH4+ssgx108tus+tgGam0zGW5/UiFLU3cj9dea+P1d6mxJxZ8XN3DoNqN2zIhj+qdsnbLNk5+3rMznUgGHz7WOk04e04gYTQGcTL+RwDazrGLCSEDyrQ3xd26c9yfvWpu42M45/+DhNqUugn0YvGodpyrAvsFWqncbEvCOhmwjQu+Z+DIjQ4tEj9DBZgvE0L1mky/6BfiRUSXZYubZYUuPpGhb0K/LSdweoJnIf/580we2WkSC5XU+v1dhvAEN6QBP/VD9NOHh8igBI4GrHMh5hvXSRcnsAxlJqrjp87E94rZ24+6dlOLvZGyeyfkG+RHbTb8tjcc11vEZcusd2Lkj863zh/OA77B+wEOkVEHz5EhTNvCRaTwnvfcwfeOy4FdQ45vsudUq35q5Eh+iwF6t5blcyZFxQkELw/5EHgW8OIUbU+PLjG9Z4/7N4whN77cw58Vc2cCbAljzYzaQs/AD18z/Y2JbUh9tIKuv9bq74377DXyGs4DHyuRDhAkbZQzYxQTdhcBXo3JsN5DLP1kYWE2Hi9eZeTPKrg4XF/dSSv9rEdHunAdLgPnXQ0QtAi4aGp/2E9NVymw3czBLQ72aO12idx3ry2fWaQt015NH+5XDn8miXFXEY6LVgpF81bMV3Nx9W5Ok4cPJGeqbiHwmfitPoeWyEW0Mp5TsfQMc9S0H2cYDnmfDNDTGO4srhxdfEDNEn8IWchC6J0y/wRrfgSuUeb/c/z+P8SMNYVWH/ilQvErxZXDDpcAPuZlLwnDPeTvyQhXAjb4BhxZzd8cF9yuOd3lfbowFc1XwPOH7+8GxC4ImWY3E1JPsIfeZ8+OXJ8YmsfSGh/wieHuHNX0mdvzgK3NPY9w2QX8lSB1AX2wY3U3c0TshLhA/cahsPFQRcZtod+AWwWyM7xAjxmTvLQdezRh6Zha6V/buVX8ISlifYW/oytZV7di3mqkxsyYz1+YBmJ/LkC3w3ads3M2A22MStL7gzEsDTnDfTqav7bcGnqOxHpRXjSithtmuOiWyMS4kIq/z+d+eEB4GSx0yC/apqT3+4QXwvzXbCFPXH6CKOfalctU9t4NnY7EFdDopB1I1Yjk0g7U5hfGj0sbrcO6bcbpzt02lD+AyLD4f7Nd6AfvfhYBfy2/dOJ+kqWupQ7s8FXpShbzSfPtT2ZjmOrBKa9vJAVSMrxD88DEfSCG4/EyDx4MhYKehZqqYbsrxKOnYile5M56hL+zlkYQ8rTHkR+vUe1Fi7z5lGA8HK7tKO3li1j9r/59TrtwG7otOQh+V04O+MX6ZXppS43msC9zPG6x3zolKBO+2lL5OquHLYWJ+cVFdR19rFcQftEfw3GiDfaJBRyz4t6Zt28P6Egw4CVz5Qn57OTgiI2A55ej4fPeI8fnrJ8hvmQexGQA+PyH/aW7rc+XisLLa54vPp4EM6vPsVP3eA60NJIEBUkuh4HOq0AId33inPpYJk0sTtn31AbHWz4YD6NT4/o7JJqV6cxqsO8DTT6KlmY1aEYtXEIup8PnruYwnS1qtsU8hbk4d8D/YD9Ld39Ood48OvOOB6NouHdV9bWRv5mLKKC10XLlSlxALJGh3MoQ44q0GHLglEQZMTRwV8kMNjy+7Vw3M7KYFn+EZZmUTc77AIQbgN8tzA4oI0xLeP55xPvcn1FamJ6bumJmJ/QTed0s69Wn6vPKA69zFN9hPRemqqumnjtL4LsapLLV+1ent2UBcZjwtUZuo3itNz6OybOCw+M4DFeWQk+E9AZcgseA4qsM2raOdOdstgefhJsS2MPGONOAjXsxsc8K8yZwDVOHc1mL70g5D4sY/meXBW7C/WbCkFdVD2bcp7uI203pVzrTQ0E7zQZfw/tfTx/aZhDwzvsJVHzvJc/uJg9+1vuKQa2oBSJ3fQVOVmwS0x3H900SZiLJn+bwBv8vumSNp3ck2R/oT1mVOrC0H/YSOjgyaIsY84lfGNhs8LJ/NGB9PRbIxPSmmHwCwx6msr3salvdKlIC9NsJjBvyvnf+e67kN+Qh5Q9wWZVn3HCGqPrYgWZAH+dZrtHLSkGxO48Uh4y6qnYcFaw5qZLtLgJuUGv0c7f2SA5cAjo2wOU8BnsSG+MaQPhq/2Bdng+/xaBC3KM8e5p6O+zhVLvCtNdg0QwZ7kbMTV1QI73AKgXd2oHT/69OxE1/1p743nk9to2NWue35aG3fTN+yiU1qNQ+1yte56Aqfn0vLzJv4upc6htyMtDrPSQKQC3vZqyjaMcvOSYCfMrBArwLUFupBXONzO3sVg3U0dwXONB+tB2j2bV8C/jaBckhHfvJevfzZkKm3N71nWOy9updmnvy5YjZjdovr3uQ04MZ+CfsBdSeBDhnTFhFzmGm0I8DtKOBwJnrjRUtrbTz10JNGu7ixLBt0gM3tF8e+WWYeEzUzI21s/P1l3fFLPe5uJ12uVdR2wBftcrAc6sRBOcRvJdepOaep4D1VpgZOBBbmU1X2ng06mP+eTRtfMTbtM2HmFTZ/d75psPiZWLTibUS6uG/CvemlvXJLAk5MEJfvDw5YSxiH/Id3PJgrEqgUcoh38v89Eh9hjkBrhvB313gDLM3cd46CIzN7O81G/erJMuf9YzKYWbSqz7vdh0BkKNfmmnXtYnr1T75yTJ1/RuWjCvFP0ylE1v01jdRg7rZJiHvF4h+IGRfW5yHH3QXUiZf3wBEclBsP69e9OWDlLRv2dzlevN/zvwJNSQi6dO2vQPpgX3JcBSjgvZ3WSJd4IDx3vD3w4tDgBNPxD6b9NWXomES7sdaECG56AM0ZDbMO9u77VROY+8GVBlsHdHgmqfKJO+2b5yxUHzzkc86Z37oZ3eFqmHBl4Z9ToRjkTlNV+lAhThvX+JwiTwSP5ejYHsTPb/3GSbQa1r2FXPjih0szbPtE4FA6cwLcGZd6gn3Zns07VfDv3OUlcOm96lEsRCwpklfja2b88A/2ZaHj/ll2Zl4Vt5TQkTKe9DROpE8c1rU7BZz+1VuRWCqqInavClWpUcJ+0g5jiyX0VAK+fyu+21fnbVaKwPRHeqpoK8i3m6M7PckwmX49EL77B2D/DwnfH5mlPvOA/Jgaq2RVdo7Y30zJUsy30m5/qNZ+jsxMLu+RcHmA9U7EACIWYhx08huJdgWI6ZAG+6uAxcOrrmRhODEa2Xh5QryFubAxc9QGRzucD/FYm/pF68+LYCT5O2D1vKHrl83D6ZP5vcNW7Z0oL5voyysdQhvOacrbn5R92cCNr8yRlxTtVhq2oKHwMxnkKsy9sW08m2WUr3GOHWUdIZdVgv3lyjxQF9OvU1se4Cu6NAN3knz2sI/S2uVmFq2Znedjpy1OPXGrETgooDXsL4tC3hEj/8y7eMcEsCsqn9Le2VzLe74GK2eX64nLl16e1Yphj1420kX7xirvtYVmYnynz7MGDdYTM7cbNK5iySYRdpcw68EF8KAiWIhLBHDElffyW1DI0YUUTcHuhNl76fIZr8lViL/ZwWae83dpx8dcx6kUeji48g2094Za248T4GbDZAfc/Jtr0h6c9xU76KF80z8fV6oDcFp336B3MQ4WK2MoUvRrA5rKk2LKgElucNe/fDivyo2Br/MY+N2DWtNS2dlGOktbjZOZx/ZZ9WYG3q8PU5KtrUOLqU2G9qlCcjE6Ngntn8QnHjN3JAXEjNV+gJbuRK8+KlAejE2v2p4baF2PaOBSFOus25m6viV73lx4J1ZWoIQFmYX97H7q0E1FEvPwZp8E8HnaEjVgDDw3UOO0o8PUVb7aw7q6pYP6JPAgd5Enfr6/akWOzfp1PbigVRBbqMAZ6EPJh/hTamzRVT4rSmjltEFjtQ8G30tC3jquGn7uP99U6eAsjzhwawY4pYREjZsNqoP4AX6QeBQw88U3uE9oyuCdGR9iwBASwXeKeFJxiOmVAZMHhI8uK3DRyNThsQGZO6szXtUT4tyBPPxjvFZrpB5yxVUyxn22No+KJVY5aGRmNv/dBQjyeXS2b6a2R/h719TNNuP+kVi9JTvZ5avh95unmR1jzrGBdyymZwT0k/GH/D51wONA06Sgd6tCj7k9HXNmJituCR1bZnDghVHAx4TRB8mKnLpXxmv7o+YkhX//qJ3Aqp/vV9w/PPOcMiIlLeInYDVwDn3PQGckfXM/9Ut1cKaerMR4w5/5GJu+C68Ws8hc9HquN25PVbKaGhcQozbyOMS+qQ+D3z3XTqyBA4ZKoE9lt9+51m8Q66ZH4/d+Ow22U1VMMetlkXS6rYCXZF3scjdmkMPpyejlcHntQ9Bm+Jp+bG8p7F/i2EtVxAfRT0nlkwIwZdPYOobPqMSI7tLnLbba9NTLpRw4aFL7mUe4b+zMSczsvBF1wkdVbvFn6ms39eVALfv80ikHCxlf75GssmQOygC/A/YxM7nugPdzB9ajEr11zYT2mlDaR3tHZagDyF+bCiW2Gqbf2XAskpnp7EoQ/uZi7yqnpUe3eRJr+/J23pRmxqNNjLXjgwFnPbqwI8L5g4GmKk0Njxu/AQ8LzJ3hwYlBd7YxDvFn/jH3ud06jU1i07MP8RQcHQu0yG6uhekw0QuB9wPa/eXtfM3HcqUFsRNnWkUgcxGY+qZFn3TjUfpfL/SvxmW/s6kglt+dUyED0BdH4F1T3QPui2nHCnUQDDsU8VUyNWNtzn044OH8ustGgE+Hg036JMRlZsUl1fLShNzLIE+DHkmomJzcR8cq9ErVtzZwN+AX7a0uEpv18+F3juCwXSrG49rMcwmBbxca/zfjxIJ8+DdPKjY/TxhyifEWYegGe9lrusA5RfogCnKXloyz3hZK7xLBdyiNyCZ3SC4jbXzYy0RIySL+XQ/LN7EnlwOHBj7ekqFtDScAjfXq8w2SMVi48dmztLnjvxIqfzDksEb3azY2D+pi99dnuOeQNeM96BWRO1thanGNl3sGe8rMROHh0qnw4SjNnCa054rKt4bHNOfxq84cw5979bDVxGmfJ/Z+r0ONOcMTKS6Ab60P+yDPeHbl7i7KqHKbkexTys8p35Wg88pk1LBv4tTMuk0KaeaKm1pwGzjPehqWY+JO0+vevHII8BmbGi8Ikb+7tFeXpmiP2IovQJ89yf9tTjS5Y/a41uPeMR78gD+AG22Cn1sixtg++e0EOhNJvvs+MdySYFtgdrufWDscYXX+91z/+Yvqf5CPv+5JOJ2B11o0+mfjqN/Qj9kuhe3RAM1Jn12rCE8nlFnNxzv8rOcZn5Da1Bsh5JTP9001eC1z2RWPk6VcXcK+4mRULw27SNRGkHtz4/sN79Cpg/lxCjxI9Xxq3PiIR72C1g6onlbjH3DSxvdd5tz0M1v21dxtm3oNoXWZj/oKmHzIHHwm1uRW/dcVD/rVk5UpBLg8aNj1nunr9tiY2JnevUEs8oYlD6HJ52mYIz4s6cFRRSWWHNYI+Mm0YmsLjLWd2JA45vyIhcGzilAhdIxyFsfwWfB86uWLFYBGfCbGxwtyXQI8ohHZE3h5VLHlk/X2TbqAdwUwd0pSFl6uFZsS4EEfLJguJXA5CKsbgb2dj3h3XNultuwJuMMbjdQz721G9e7Fo6yGIruxY9t4DqtoNys/sKSdrCLaA55OsI92I+5ih5o5tIPeARbik689yKckDczdOfKlw9wacOZotz0zM3YpCrnpttDyys1v/1+9DUato4Rl+oIOoOWlmW+jPubsAOuQ+3rIxsnnEBPAeUvpwP44z5BLuen5Ac37z07Qrkxhw9LzO3CV5s5HPjTAE0vWyhR9PZklX3dtdiXme8NmyCfzB2d2gYfYxLyZZ+jUhZnVLecEuCcOvv4fVW+35SjONI3eEj+mVvuwMQiMjdwI/YDOAHkVBoEpm7IxV79TNY/r/fbBrFkzXe0yIjMyQlJG3urXLPFuO+SR3mfF3w1gpQvrCfWey3OR7DLuAzf5fEGNAK3WvM5adcqd3t5Hrzr0gPvOGuq7lfZzmwtvjwOfwHfQoPlf3JlbFu83cuw9rvXrFC24MXWGPd2jTUTpcofZCfAulEN8tqJjDsTe3Xjtkl6CxsXvOT430PXfUB8KaeauO/cFDzgHft6zy9aXw/aYmjtPxqM82qxnPu2hvo1ZJz0VJ6D6IFctXmJr+UoZ+vGeAA5SphpfaxpaFWAlcd5+y3c3ff1xSxquoFkr4zkiOu3h3vOrUEJ14Mk5Rqejyz/wADw1bL+ODsnOIzBF99OSbGs8XTeQZ6YOfZTAMgQLHzXngDVkBR76XY9vH5iZcp0IzGUGsdFlwuvrfPttfPNVuH2UDPBrxMBYPpfGum5yy9yf42NuoaeZSaUoeYGu1Eq3K/DcjQozj1C8waHG8JiL0lKzsH1roih1vLnmamCCVGn4CTpEHrlVbmQ05U3fg640syU1zV0/KNk0nfv7Cnh6yItkaNC0p0JeIUfn83/+N19QcyEvyJxS4/kN76P/897vbRnKXlVxfZAVRfWaHA4OaVW/cOlon1P/qkLgRiPHZ27uAVgb4FlHeN6cONuKhC3OitbMQG9B2y+04PfzgKEmAU/XKMkssjD79yygzY1PKlt2bMBCun5fiUk0mq1Qtf4pbvZU24rGyCJD43FHr8yZ4zTczgztN1DTTiScDlXgb46OVzJhs9SevuSaHM8IH01xPQnyXsN7zdsW2xDicXI/hwmXIvQaiMkqSMITUsav5lA76gJcLmQ9/sg0F5DbjxQ4IhWQl4xDLLUisz89TtNXCfqaasWx2RexSGA087t+NTb6zu2E5D+9/7g7utdnE183ddiac6byRHuXXP6Y/iE3Lfi+HLOX8ZsXg5qBJx6o7h/nyO5kPue5Y7ciSpyya++VM09Hhw989/YiuG9woIWMGivPt/+aDvhyDHpwSHac6gvpeqceEnNb/EHFFfi8fyKv++aEkDw4G+u4Au7TEPgomZjxHkXkpIYNrLdeAa3T3FpwRtHbAzk+x/JGL3f4nM/H/+aGAOa397JAAngYhKBfSgS6VqNR2X5ozrfzYZ7rwDf7b7fGaU3/oZNCzMDaTFWAr6XTXuriukqxPXH67k+Z29rhhETzifUqafJZn8N2D2z240RTt9ndFxnLMXP9e2UnsaCZVfeZWwK34/18pxHe0zFbjyuBXL67hx//32bhLip5IItMT5HxKH9zG3PmwiBGea+fKdveTgG/nZliUI8HHiAkxPKdW2ZGVXJlxsuBawsP/ZMj1VcdEaLgCYF6d7DMPUZkA6domQ0cHKGUMjNbdHk/1w30r9HEJ+XyJEckNXwS1voGXOp5pm1JLcDZ8O6UQ+mpaGvmBL/KYb+ehPw6rv1DdhjhAMegqSkPJ3h9dzdzkKwt/MoL3GPAgjdGYc2p4uxVdumar2ylne9nvf76r0fH+xKIf+VR8nHuNeIF+gZ90fPYP+XFX7OfLOGdXkUxPZRY4JlwXweJe0K9A7FSqcLPcdBefjFK2L7oW4kjMuTi/gTexyqzXzzikqG2bIDHya5xMdfkhHw/79ojL/QswtLDDnrQXpoZKgjqlUW1vkmr97KO+MDfGOZc0EK+Zzx5igPPg/TGHC2Ehy9sT1ZOtcMFFqmbROnKizqyfWnhR2MtU2p+bgARgfwvbslHOgIvDUjYjPoo+mXMQW+UQu2YhQgN9Fjb6K31sOTwTBY2sR6bvqhTgGeIDeP5a/ZZHUqZV9GWVxQVDZfdwZH/SufHL76jUYup83zWRekeXtsZU1hXynkl7N3RwjdpZsP0kr/35yuxLQ62fghkzgv2btX9tcwdJNAIa0pbC/B4Bq74AdwqB+4YlsavMlSHxuxZrXuXdngvYS2Unr65mSfpTgXo2qvgStTDp0sH+63NP6jZR4JYOUW8A661aYZtzs3eg/v5ABzf1ZGyzxRtxBAudCxf584HbW13lO5X4vqniiaLmf9COhwC92aiZ15pcx+0VpA5W+/oNL89dKJrbcCpvgbO1kTeHXf6SGLA6ELFWIC2H/7AGvVrWSR5WRDgiqYPwZ5SV+IT2zxhrYDXZRY2ZwRDtmDgi9xOTplDEjV4FnCB9/t6KBfq67B5wHp1UGeLBmFXIrU5FRJWHvNM4whyzXjB7zKhZl4Afw+SXkbPG+TOApz7JCCGzxF8l658iCB7yPHvz8wS0MO5GH49dYfaJpNyW9QU/sRQgnmXtDky+7yfTo6kVYtlTUfAdfj95UgYaKLvc/5nw0Z/1zjkSBhopn6KM46m3OhdVx6znnDAD90wVJTit1f6lUctcBMMOnSZzlAzS0fuShu49ro3vp4XwRFpQpk0gZmnTYKctRkudFcKbXyH+1wkbrWboSzyR2buDVq9mYsH9Gs60jEFrdi/70fdUrdteaEojyRporbCvN3XHbapbc5h/zxlJEvQs91hbUll/XHPoIu4njYETaeT8L6Z3ZLamr7E+GnVow8RxizQSGVJFStFeaMcvfnhK0f+KKO7o8bernSrZac6M3M1p8lVCfxPduSYd3+d0tkeD678gpiwFdfDKb8/pEhWbvbtbUyboN9gN9yY+S35qMLawR111SAhdt/7UeYMojQ+1cF+Iy5/buz151FFuJNDaZ9BkyqtXilTxn/EUUPvpkYTOvpbCjtloRY8bk3f5lMAb21C4w8EXMxZ8BHYMO6X6Ez12/f7BdzD3AcsqmhLCdvuq1EnuFNmFufEoYZL/XMGtNZM+eehvx3sxCIhaJ1wPuZs/1QjvEvk33mPd9xpN7m4uudi+lAuYmm0XSprfp9lL5ItN+DO/0Thr5XdnnIt+7Tb21mPk1SbuTryoqz2gwqcnwHPVJDcuAWZK6ZWxuqrtrkHdeZGHew0VvINFYkAb2Sw9rgZlpatv3PbHahnx7NQZv/2qRAy97iTM0NfVZfdjK8t3s0fedHuq8IfiSCzsjIbdDOjol3rEL9q2/8q+9QCnbLS4bopbeRDrrQU6pBCGjS1fuN8VEGNq4bGUtZ2oSjZnwRPDpb8MDOWgJsER9vH5+7zeWb2B3AXi9kcV0GbqU4eQf93wA9D448L+AcYs50FW54Ekek8JAfqJkUt1PvuXM4QaCFBvsvhfssG48GKs9RVldDomEf4SQfrUUMNAW5QAJ+waTQlpg+yNnfMIF6Or+1AkI/qwdtUwxWi7/OVatI1a5tj0Zt5xe+7PYm4bMdzqFM6PG8nKkcWy5fQshJIftQB21Q8NHtvMQsxYSx9kHzOWITT42rO8UtPrjrF/R/vrOVS9prnLrqIsIWIhLjv/JYV0/9w426DjjCzEFeG/Iwy+2XuSYMWDEWBS8qBx9m4q0bEpLW1ZNjCOiS7xvaLM9uaeacSeI8kg3c0HvsKqQPv2rVxkwD0/7/ziFMabt81ZT0XyqYx8O8Yc7Lykq5qJvCdeYR+zpRPwnqZs2Ae3RcTK5DjjNjJVCGoeV1mfGz29dg7qTUH6RDeMq32R8ee+DCjo6Pup/Dz7UWQ1gVoIWr6ueSdsN750cpFcq2NTtD8+xTra2ZP9zTWOAe0o7HsQZf0NZ+gBk1FWvjGl3tRAXnVLqh+Ks3ZNxFMXYEXbKC2v+sXxCi5AY+55OHk1mFjVYUCDpl6skDwXq6bNPBxGsjkuPpTJvg971HE+rt3hprYFKV1cNK1Es2TBqDhUeucBdo0unzUsT+TPjnW7LdXOs46fITVS5oeeA5th7qf4Q0RWG+ZnkN7AfoUUKY3qct3J2Yz46GM3U+PoPAJ7zfMCkWMV88ZkYra8g5rUZCx1VgAh2HzBBo6/a0pq7RlNHOuUSqHSYKu78VgzqiVQ6wpAA4750M7lgwwlaMQtG2e98li4lrGoBFcvVfwXEJArtD0JuLyifXPTJQdQfpOBvbWy2MdKuMndJSC3XDUflfRcqXGZ6TDEJj49DNHy00WQPcuHSeHwnsrB9AKgQas3C/ny5ZARUr/dzcyOYXJUwEfPwUyN/1aDSp/ve6bFZvZHf7R2jqQXbdzD/otRHFTyFBQzUxd/d9ccHPHEXO3vZWDImzYxnTlxofuArrFN/WdcXzAVunSeOqaHvCNXy2Kprcmev3XX5IYT7aSQO4q49Hl7BdZJC7UOVOHqjxMNuZeLPD7f2dzpw7tlzrCX8xKHmqwAZ+TAvTtCPymEMyb08t2pp3e4ND2Dlb7rinU7BvmkMuZwJ4akwnibiMHz2dm7wShzVmkS82vt7IjA9TF19Fq55ruvXM+D/mwlPXljydRaZ+ClvPOL7lDJiG2CYaMPnPy77CW7/2oEUf2IbN5lTpmHzxzGneasXW3KdLLwW1usm/jBrhtw4hU4eyC7jnJ4WmDJtmfIxTToC3OUfigO6C9PH00PEGs8IFXoY+cJSVzkncu3wCPo6y3X5B/S93tb7xoEYsIKAEvlqsfVxpfOJIv2k8r6AzQc5KX8HO5hVmpP591TPqjszjksqWpnYyZvbeJw2ej8fIRxf+P1rtUw3Z/MNoUeLp8zftzp2CtcHlC5GL0o4w4xPg0px3p8wI0NPx9RvU/5QB/cbCZU3NpYr5nzAatPl8ra/sSBclyUB8HJxHSke/nskvXzL5orxjijI7AZ/rpRYQ2/e78HPIEcI9kwP8h9mTqTJpQP0hhDYAdhEbfNDG+18ZLrQtdZfrYGH8wl2g6EOM7csuZ+p01Js0+uEsQvLOudsk9dUHjhnI8D/ZRRcm3mfGL9TQq1EagxZ48UgLqPOQ4t2ouT/UwTQfXeIMYfJccd6iQkCdM7x/VcHfL8ddPD9QVdyGXgsOavKTNg3QknrRsBwOOnejnrRIE8+Cvdwb+kLEkAxb2wBTdgRPOdcTs8zCl0gLdVFwdEt49FqoP40l9Cj5X05Mv6Nu3Z85Kd2/m994YwBzUJa/snxtstVwibvqTFxwmOod3k4dE8jF7YWeJa1dHkAfGm/PjbLQvfPYZ/sGsZbT3bsfXHxf0aVb2MsXW8vaCs6uRyIbpFsfyBJporQP/lvNkytn9Btjbp0L3dAVMDiQ3c/7S/n93Jtyfu3MtQaite3I/D+1i9ni4yzanGDSonsKcX0FHv2dJ3B+1M2VQm3382l6IQIsS2xDyd5MKCbhPdvXKRb3qJR/SB2ivGHJ34d3+kYeo/Dkvofoqe69X8XQQjKTUAbaidUkD9ZH1CdS/375RUnP2zO0kO2tl5gkBT0cn0Fk8X8sXYGiarb7VOAlNUXJUWiZVpDAVUwL13OKIRxQ4Gw44gzzPKMRQGi6nJvSiVCNQOTopx/17z3ygVM6VK6+4759QBx4lJ7Ew91NDWeY2Kpn20xPzoP43DxA6plfwWtLGA43L+NBmWce/od585UXqnUcepwOy8ggibkCSIQnrtrzPEP8xvl/MqILGYsAf+FVG9isPQhNPJxJNjgyXB9QBnAO35ZH9pfrtqewwYCCDP9t2MiK93G33pH8+oJ6IWiNzH88Sxlsjmq1Sy/cZR3kWXsgohnVa1tNu+wF8z5OgIeSIej6GoAWSVzNIj0TlI+PAA/Ktg03vcqw2olO7ijfPdPWPRqvBO3ymkbcyNxGC+84pxAxw6L1HNICWguedR9DS1jkA1OnCDdTMf1Lrfwcr8dNIb4ilZdORS8NwnK7tgnvA8Z5MONwGtMdRBbwyNbMeIlSRlb3qOJkx2+pysOxm/L2L9UxBb+PYX2oBON7Ln/vxVW/yDTg1bSnolpz1XgYi9tCEWy8VezvV0wftm0UOqCdmDpM9XQlNMrO3foqkqHnvgmYYubN51jqR/6eJ+icJ9UjsqcBDtsnDdg/69wt4d27ubzUjj47OFr5RwgRNTo2YSsAh0Ettd3S8BIvFeIGdGqt/ge7YUGs6ZGKLmNBLg5KTmYn55ockajvuJj1gYXAezD1ytZcdLlNXS9mXSzW2MREKMBjw0MxJ7/icBsmErWSvXG3mHDxTi5j7A32p1Swu838+NZGS3JI7847+97tE40z30gV9PxBy7gmhvfUEDIlwEG6a3VbnUW+V+dxJ4wEwqlIMwOecxIaYOQJ2AoctbxDrL3P+o4pk+Tn3M/oqvj6aQB3P4fTWRJJYxE876UL9LXhHKsAnLOLPR6b1LhsyD/efluy3IY9xwZj0jrZaj9ZmlSOumGXvq+7vrRTzV2YnbWPmvY8EOJL/rx42Kx4Qzezfnqzs6Oj90VUjG2xt+BwbScit+5obB4WVJHQIbdCVxoN6k1rbbxJ5Yfr6s2Cn3JTw7o7OHJ7NKgWw/FFp7g9tKOfmPoEG7RCry5/fednAnT/4sPQi3JY82qJ8t3Vz+HNYA/s8/n0Qdl1rGxPzffmYVHRsK4i3RRlfa04O6W7rHdYQMB5/H93ehjzeKbO3DjpO7LYl8N5fPGS9GlPQMxXFbalJC/rYzED5qtbWUy7XSvuPKkqf5Sr36jUzDKvNRv9SB+rVBJ8/+43/v3uxbA6kxp4Ija4KzUz0X09d4CYhtQCbR57DW6M4vD7h95dy0AjHWgKnWdIC3bmrJ8PxRbh4mKGZgl4H/mpmTAYpVQke7vBZgCHB37V0gL/avDTnBjz/9TH74iEeVNBeuQX4LOzpYJcbwO71Zw+1kwFhich6HUENdOGtmx7fMtOfLh96p9ZcGP8iwKJZWjPFo/azgWQHpzR+4JsGao0YvLfX4grcaYaYgDXxX4BnK2XKzfrrCjznQwmbnorMzJoYlUh6Wuxv9SAxaJa06jJL2WhOwzmvu8SqBf76uZdpowMTGycfdHSK7H0dLm8+/5VGMwJN1IIO/QfrtjaQLzya2rJTl0brCxPeF+RrjAO2NLylZh8sH0B7jmqqQPM0IboBP79now6AQ5O0vy+YkUD2tldB1JuukPc5EQ6VPPfNswIOeIow6CbbkQN8LvCosr9aJeTSKZo14L8rV2WxIVlODFWAVw48xa2KdVfaGpB5Czr+7+Ngo5MaSzct9h5Dnwvg4/dvfq2t8bkA7qpvjbNf61F+g6ZEjVBWGhK/KYgrnT1wJwVcRn+LDt/PbEIVvJpm2BpflV5RNTS0fzSOBB33uZwjvqbDdocD/apC9p6VuVZmrkzXe5i3J9mhkzkLTc1c2bEdsPC+68GO890fyLEEcoCkPGQ3FqeujDLvaOZNxtKpYgx5Q9Y0CEFvK9v0btTMeJsbw8TmHfPGe1KYPfvKVkWp21cd4DUdE06DvSs64EQQw+8ZGmYOHHanXRqCjhHTxxneUX6526W5GxzOBHLTzMa7nQI/zhmKoA7nZd++z9rsE2oBT72vc6HzUwE4a2moedZDjtNIudnzIBB7ky3YMiikj1Cr4XlmLoXxWZp95dgnZeucuBMg9mQ1LuKAC3PutOxs9ius3/vYKfzMBTt6Ad7WyTC511xNKcJTrqdEDCrNoe5XVO/OSGa5lpPxtoJ4W1LA4jPyM1j3a90r0FUozF18qx1vaUKcmPnHKUs6Mf6eBSw/Wsh4fQgz9+f6hHpRQk5eRIGXhpavpp+OaTzlxieXhAmFOpqyVe8gt67MQRjidWG0XOpQa9DyPuhDM1bLKYfeBtbDziF5e1ZbwDm/lFh2TZ+6mPrzCYHGGa+PHLHnKdAe8ChKCjlIwb3jioHPK5ca3TVe7XTMntXubstIJxkNjRdVDjrowSw983j/OLPQhVw5veMwZehB+uUrBT2gOvb6ObPv9L/jqnKy+wN5gC3gcfQUTQsL8JQOc8gKEtTDAnyhfOKieUhKHs2wQG0jbQN8NR9NHxTh6Wh8xsibi5rc0BypTQoxxPLtq4J8KjvuN9G2rwoN2gbZyk2Ks5lxF4eOqcVNf3dYIUHrby3Sowdn94U76AL8k+b9jICjrEQ0z//uoeP3fRuWm30BM4vesScmED2HSZb3+puMUqu+fQqk9sp4d0Xc/NyDAqaZWRJsbX3TO38uiJ2vKk0dfgEtOP7ny98SYvdW7swvjH7nf0V40GXzmkmq5VBFiTwXvDwXEy0H7zsdeEoLbGbQmvnMHY8s0M0zql11r4DPmXlGoG8TFvJvMUx74NugY/im7NBB9YowiqaM/94zD4Xhwe7UypBsOJriNAeM1PrIOE7YMOOaqX0VyioP7ct52NiySL6N7mxsDvHLbdPXxLSpo/dHanHZ9MqGmgPvRN0EIg6lybtnJIV1D3/u2o0/95155rSk4ZLUznOjEF9OXNop/XxxR8fw3tKKKc2s9pojH5meuIrZBY/bIC8+n3mAZTloXaNPT3XY4s60SSP85vM7UZRLuSYDRuaeIypTBlpnhO9uVIGZtRTqoVzxE3gevHvTf359gNY0s2UeOfBOqsksYr4DZAPs5T/zc4CLgI4uN8DvvtP1l/fqBnA9EySoRuBm4QSaf7vCs38Zb6NM/31Ix9sJNoXmziU2XvXx3hMcqnyUOCeo3JxjkQ1yaJzezbrMlXZzA61fqP+8/4aDi/9PV1okk/D7gOcyMfIvM6tOUv8A+qGUSEaNMGfdqGfOtoI6Ar9l+la6vZfcv50KvuIifZp5ODxKwrJoL2xkj3TtbzI2E1rtkIThuy6fCAeuALorF9vrwWnzs2gWEXpVbiUPyJm8dDLQPOifyZOc8UR0GucjejHrc5FhDzV8y4FjrY21eOmo7aZfMB45rO/P/NBX7ur3uZ5Pe1KC5u34ONnYwbbQfl7xPahkz6+Mz4HbHiVKHKjqr8pKPRpdTT9ojHu9EDdBtbNdK2tbgIadMNdfZo9EFS1oi+ZFqHSk9t93AvtzbHxH9Mhs7OdiDgS7O8CtiLQgV6Kt8WH3WNQsUMEsgaYX1CibD/YtteY7K1AkC7P/R3rRkblB7QSaL1MOUA7QysyyXNXb73vLYc71gY06IRxtyDCnnJM9YM0thRrTBAhAfekhn6Z0lbuqS04yVE+oH3ETg651CPxOMqXaP52CZjX7LAZfS2vLYL0Zfv3ZGD+LN0bBd0fNoDcZg7jL5wFqRFpT+eRhezkAXUxpdjN9/Qz5qwDNAtwpY5GUgu1vx9XMPCQe6I2XCHx9DvGNcWn27+9SX208bB6KT+/7AKAFlo8qRnMDPO9nXnvY0lq3g6TJQIPmIYK2g9pVyIKtOLo6Kmy/AH9jGqJ/Vdy6Z6ZQyZZZwZ8zZDgE+j68QFPbiQvx5ef089d3rhpUSYGTAN8IzN2fBgHr70EvA9cg8MyQOwVw84eMPs19ty/m4gB03ocUvaMc0C2x/CCD7lnk3aAouBIRTnrTI9j6BOKDu7/zv26gKZysaH3gB5eqS50MYptbCUhbTrPRLwm8W2kBl2F8YhZOecBsyRI7cyEeud791/OIzExlzgd4xw7Zldbnq3EW+wyr04TvOVl3eAYva7QSTDcusXWpen4ELRYf7eT7RNsRdGtv7t/kDkqryB6BD8YE4pxGqaNcnJZ9egN2aAMvhpqlb8wyvjrtkRkfQGa3pga/MepcKL8q/nqZzV6cJlXKtitf9RddQe+7E3D65DuPtelPedQFolBHFxnvN3WfIGa81OA9k3B7y4eJn0P7INkcAhfIzOxtIUxt5W8e9cpfs11ZtgW88wK8Lc16+1gh/ZUH2YIh986xf6csOUBFf1XOdqqteTnYwAV6j+KCABdpHcUSiPvUA156kXFoNcbbuku+xThZebx/Y5RLYjwwcXVEtHdT8bkxmpR1agdYCrivQXe2H+be1MECHSn6DTX+OJ26nnhj5xRX1ejflIvgHUF+WghlfcJLDVVa3L1zlxpP4LeufEE9t08xvsmuTagoH8anPS9wLGJpepm+z+Onkxkvk3ByG2Y/RTQNpZktSaHudzgCHN9UsVwPrm5LZ+Od+/0L9IEADM+q1fSh/T/3N4oJl7Zv+noHowNPUXk7OvLnPmHjXBcV8T3p9VqF047bqKMWDvGauMwu17RQJRuni3ImhK1tkoaNy10UcTe5E+4/T8KrjMvEe4+o5Pyemnmdrv7HRy0gbwUJ7RPwvZWDHmPD9JRhu5xHwCBmPRrGNxTqKwEqAfW0ZX07p5Y85uHGFsPeeGjgKgT9MGgB+Qa67u1Vdb81nblz2n6V2u9E0LzqXqMG6ZYGvMuGOYc4LDhwYhYRRiKzj5kI4NKiEqA72LKYPUsKmkCG++fPPL0fD0UkeI+l7MkT1uQdGzszI4pY+6dEU5l15IsGcgcq+EGcdq2N72fcgmZo76DheR2EL1OHRSSXagD146JNHityCvpFcOmpIdmJmDDBMM816hrLzKP5vd8bl1ZrS3N//mcWQ9KSHjiJmQdTpMtZ64HSvy86TC0e93YdLeY8qD2JP26tpxbq/PdJKHhvHHB2MoOVokxsI+PBYd5Tja5OOf7OXbpkYob6Wj7rXvqg54yPgYRnelZ8ipnFgIPI3HjS5KHKccSfTT47eeB/iwiZ/RXvFIXAVxloLgL6OgT+BrhdSIZjFOQjsHZn+8YN1pg5ZGY+q7X4UHf21CJF2u2dGmSHBL111uwGMRalYpY8RE/sJhj0W9U4kzzYwNuiJabc+AVJo1mzWmPQQX9XqPMFXvGjZPy93wvvE+oJWy5SyK52Ew+HzxvkEWDRT4+OB7nXAYYDdzJeKdkqR5ScIcZKF8cp+nyl9vQ0d72M1yFopISGgPvj1DUhB33/fGb/5z9fAKK1wDEuuQW1Y7CrJtKXGrA4FaTioHtOAegKsViAyURZoL4L+RI02TSuOT+XP70Y1CaEF58LvOtvAloH3p59KqQGduzg4vfs5jt3pQd8cRDAhAkgdy3aWZoqFP7xqt32moYQBwXP2Gtm1MH/QKt3eOB3Gi7BKQZc6P56HGGfcQ3cj/343AJ/vRqfczG2kli/Zzei3gFn54kLfPVDgHY7OPMB6ivoZmtRNtQhPoWKaq2C1MzddjLr/mAsSTKIPBoA5rLpWgvANJ6ceLSx8sHMh12sbPzrpRbExqjf/SnPn7MxsRybgZeNdTX3LwV3TT+jFMAXTF2dFNTgsvCvxMzgc+w7FZqaeZM09sMcNEAtbL92lE0g3nNnG5/R9CTDFlBV385avXM5rSMtARWeJIK/bWHQMJpXIwPtZHxZiQBNZSvBAWXZAzR0eB5blwXMzO/b4HD7xRye8/jzlkfEqYIetK+50/+5NEL2zcod4GHvuZw3KcggmLpDTAxmLnsKOFxrrsUIWBL7ZrZLeaaAc9E8AjbGEBcJt7YD7TfL0Xl60tyR7OD9mTP5UCNzl9zMBm4ikjXRfkk1f+/3ZiL+u2HcJ4ShEPKf5hzIyUD6lGXPUlyffIA8DTVXI9qBBkZn5A9mNjFUqH/U8k5H5/pSwLfoxfiebW4ytB4Ho+GFfTprn0Gcv3PZxCeFem2be0S59ecBGNhJjhnw8JzmfyyMeCliFJqZSmQszWxms6acOyRKWRtQ1m5w0A64uD6OK88gvz+Aq9xT6/PZcPIFmvm957BIofZ5oY6A/3kpth28hzxHKCdRuZErdqBO9xye/QAan6G9xUJYv7H9lgPJVaH3oIttyPs0ZXKqV31qhLWUvVpUCLUItRn/P487L3Mky4O/D9ZvPBHCZ1ib9WduKdsGpZa0hhpbI8W5JW1BeSeZRpi3idASnm6KM3MHolce6OoLKT6Nv/+rCfQLYv1UutmrEb8+0msGn5LR5Kmip4XNHErQoNwtPazVP0l52iDyykde/NwtjmyZMu8OWvrYODNoN+tZGn+g8LpiV7WHlQTZ2OLazIbnfAZsvgjdvjHqDrj8rx6vZq9LmvNwATnBhf5mAfmuo+0EOtrJEQ5FSByG1A3yEeqvnYp+edR2eMuROphe5HQEXeHiD2xPJxyytSz2jgilNjMT3nsOwOP9xgpvkm2PCrQaH6WNC9mXIqmwmeHjlBsMWvVoowo0U6YGDzi6mnjc2GeBWsx0IsVzlQbr+jmkdgNZbbiEjU67+y1zmnev2TfeGe9U21ZduzJO2An4s9pt7/lu61U9GY4urwSgugqthVuNdbASlr4AK4HvVi6PU65KEWYrHYAf58AB12TPgvabFj6j66c5s3v9/3XK/+4ACg90u2wrrm95p23IyY9TqMKs4zPk8KPkeCK2n2aOgthQQvTo1oztPc23Nub+owrwAHnqN4O1VP32o+RKHqz2ncuJ6QUDTZfUMXNJ2Lu0ULhcMeRhW6rO9LWroORQo8RsvHQGWJ99Ouy9o1N6pauzE4W6GOKp5MDVKJoqmhzKtV2p9bTTePJooN9nUoeDNTu0aAPgPcfKRlRa9405Xwf9MmeUrZXDNyngTh0kI16RVVveXa5/N2bebmMzF3j/WlrTi8bT4cyvVmnLE75slzr2KXf7F3P1m9sI6ZKqjtQNnt3hQWrw0MUh8E/D/bn+xqA9ZIcDLlB4ZvKpRpLzXpfA/7GKE6ycBGrRtBCqQ3j+ifC96f99knCzCGaPUOPeujJUSF5AP3kqWm4pVBraa08g44NtUxYlIrOnL6onc0b3UV3uVlVMH6fdFpt74P/11y1URTKTnVybsXQPq4Z33tgnRuITapxM4LcX3M5wk3pVk+Kp8+P1weW9isi36JIC9OOQdsiqtASu3c5cw/qHE877xPjZxCQMHciFFnJMVPaUMHv/5D3w/1ENbCC7lJWAV797KeaEm1JeLlmHvsnYzqDHnRNPPtJAnvJo2lSW9qE+WudAWazwy3qYrpnxnOyIFkNiZhstmKa2FN4HHeWRuuSbmzMuG02Q15dcX9/7G065KpKGScAG5ANvcmrr55w9ywPl5YW5t0U+/jejhOPBI+naPyB/cNVlrlrbNnVSlwZQ6xmazJwRGfFV7rb/uN4bHUBL3r7PpHqoHRmzIf9Y0sku2bDQi8+gvinTV+ZMQ3qZOaz6gl2OT4GPobZbpZvcSgcbjVPS2Mxy499NBAV52NjYWVxs7p2uZAMfvKuiX3/RONU+aKy/639zXnzAV2mJUftcbOey15bxKWwi9Q0xfFN928PzWiLaZtXIrzxODg1gEoX15OHESYH2xEq8cxAaT+c27VssRv/NAeyGwvfdzUsz7h8ksue0097R9q9n1IKm1D1wMagb0xXqYWC6g0SEB8CHiyp8WO22O3NTC3RVj6mHi2RVwsvrte2xjYBgoisHzvXGqEa0DHi/5JD1uJcvBdUDR4AzPT8xJpPS7KuBJmcMECbCD4iZawXMNO2XWwmK7xz8zEeMKNQjytGjGbNHzRlwdNya2bV0fPs5zFPqqInZGDKjLQmTYc1IKx3vmSOIkY6/CEK9mUsPdXPXwJ/Dc9i5mTsT8zJl8yPlssVx+Di+5uUUcH209Qq1fYBoMf7YXor4+4z+q3E4ofGnk8fA/92/D2n9cSpNbumo0FmXZlbYII2vb/z3eXAn0PnpK4/LNbOkV7kTpSFoXhv4A9TOrLcZsfWY9tsQ6nQvA2Yw4n3P/An8+HR43R3sXJ8n2jt1uL2ZnpfmMh9BxzssbEHjb7Pmp1fvzwYq9ANica2Gdia01bJIeO5kj3yYPUmBn1hQm1fkAeIntTnDWt+znu+3w1q6VacdwNqkWWVQrhDBlseAJ4+QWzjXPM/6+5P2EvLVPjJ4xgpwDL53rHSb1jrpMW09AXr/3DE777cdfL+ZOXNFuJkXIf+vP4VmbuUiH/gfpaCJuIsBw5SverJmIyjWQS8Q69UpUq2EOkv+62/8yqD2/Bj8UnN3ZXLS/vNVQnBAPV1A93TpoPdN1xYmFt+xkQsigAvhptA0G7YXqBlFvfoLthVwNHKpmDQe3sB97DWN7A/uIHYq0KXh0pw5vqoufFHgS3k4S6MNq9Hn3G1c0L03Fn6auYLvs4B/WOzd2r4Cf2nWkoVOKdoj6BGXUTSfo/mZRpYLn5/xIYkzYXwhpn1mVtfy/PMQumxILDOvKwUNkIo2pkP/qgYzK0JvGuah+rV94zwFLciyHsN7aZ81IjZgzowDNVIHOIidQu0tLYmgnkUqBu1KWA+83toeSyb3TaAG4Fgu4PxY0vZofDorQTTErRTocz3zRDcdfse8r9bPjbL+/MzEklrtAaeQCLVlPJnOZnbp2JacJjOGOnxGDLS3/wGUwjFepfXYfqWvGYP2+ipBLyjIYyrs4WihGXTiV7q2Q0r5771KJu72wdp4ebScGoDBw9pDTmECqsMV+XxMY/xUtGX5Ssaz2WON2yvwHEwCMwN02mVsNv3cM3HaB9Tx/Xn3x3g2nPL40yPRhPnYvn2/82pQlBXkcYrbkwr4NRW4PFFl43Axd45fdY93FBHraJVeE5O4Ge4bskob1oaczZx3yCFl5t/13q6h5AW5b52iP24eZC9W6Nh4W73vRzXWvMn79iFtc1bFE6bxPyG2ozIzhK3yBZo3apBCbNU3ApifWZ9eZbwm1mxtUJKIYTtB/SO1tTGeYJfytbXLIbsptw3SnlyMt9ZbV6Yiu5U0+cBCHjA3HnX4Ix0wSRHJWS/hd6Mj4f1C7B8s/TnjJ5TMddcS7kw7AvomL3xU22oi4dxWK/pqBN9BzD2rUP/LePrmAPGJ+/8gLiToOckEBJDxHxWgO4ZpllEbSw01KkS4ZlrkoVrKfN40TrKnr9mpYS35j1cxupPCnJ89QV8bLE+OP/oaaqWZNft77jAs2OwZp5G2jq7cGO2O3fJVr0lxRvCcOnVkXLqp4LBGe+DY5OPgJAuwl+Uk5P7gmL+/jIAPlAl0+M/3AtbBwlKEqZP3v7Mk7o3p67Kl8cF/pAyAOsxeuPeMPxVwtjapUetJ/Xdp9OeNxe3mvNt+K0sjEpl+8qU8M7aUNl6hvgq6csk4Ai7U+pRNOQ+SQ1bs33cP5uPrzyIC0Ldm5vXlbpP8z60Kl/XgkBywqFIMx8RWpr/6dbCWI40TdLSS9bgCtxnKW8YnR2kfEad8VKwdThHwrMsf+P8SsBIwYv3tNXOqYb7nIrniQpk6NFObPY4OAn3Shj/9Fj/3P8z8PMvCDu/OVMe5DXi5tgL+e5Lu5CsHvfiI/rFxivICR1Uhb5nVQI039zLJm2Ov5RCa+QZlze7Wz52BUP53L/9Hk7Y/Pfc1n7zS2Rrf1A9q89Wc9f3nJfZ8iijRp0ARFao7s7VHHH07WnuD+SQde+cU/84ofGUu6PhC5g0y3rp2SyN5yfspy4fki4foIszsb+un3+Cg4unII9JzqE0sxKfMmXIc9Csb21QaTeQYD2WVsWjhjPo+v8yMWfP/9XICLwYNaTydHwzJVobJkw/2HejRwuB9/bdf9Heh1n4j49Zu+vKpitBOreyZ2i2H/BPAgWMagdYJrw5U5QeLNpuMmrm84Uvk23f9aiuQ9RCrUc35Arj9VYlmVa4sc/fvsx7wCThYSBF7nMekOIGISNn2m0cTSntvLUfgIj1P89C7pTaJy2FCNXt6ciBfBwt50tp+NNH0xvmqZMZzmxwaM3eb9u45VOk5kl8pmjZY9KBaU0+EFjyPB9jc5oDhI3AYmln21czIAk31LXbzpYn/riemIXqAtw6eoyhpidXu4Xe/72J5iqKUxX8fqlMexMem4f7rYPsMtOw+DzcOj2b/xJavCmHKOKanELBOQI0RFvB1lVerioWYYuPfAO/5owkyL+0glwtppzb6loV6zzR5Nfa0Agaeyt6+VNQPq7F0qrj9kqOpEzg7wdoDN/JqgVhO0am0P825hH2OkkohtZyQ2gjgU4xPeQ38jVk6y0M0G683gHIKmPi7D8DybZDZ2Oe9x6q4f50HbR9cqC72VOZmxrNd3k6x/0/2KCWBfjaW8XpYCmZfl3pIHqcIm4n1ZgrknVuEKNSmeYByo4dLAfhLP9+/KyeuT3KBXIrUi7P0Jejf5ax9AbEItSJ7nvvJzUPdl9Zyk2bfzUqsUocvOV4tWaCl5vtnrVu/ElNwQugp2afFYfVoKP8Bp4Q66//eMasp3jcuMIs4MR5ULtXlS1rkBLUQtJkvYE0KHiYJ6PkrtbyjOSOi4uqS0beouZ8kvDm3k/zM1F4IvqQdBt7LbBHoUzbiUyXm9z2iwOyvnodtyOLPJXOMn79+iBihJmyP5dBeSdSvTZyY861r1vMh66fdmbc2aLBRjbyq+rujejMLEGkGWHgu2h2DgitC6VHQNKBF3vfZVoMg/90h27vnUUPNTU3/clYh8nHue9OHuDsP/Vr2yR4weuCj/BDGpzLUYZVvL1k/dzU8eRVf11N4fZ713j4V5F4PfDiP7UY59puzucYPFfczxFvzPEWlVXWfG762UC8mJxuSSVpJQB3QAjHKOZMlG+VXHVkLxFmMHajnpte9Q5MQFvAF3tdOcsdcFaa3HLjKnbnk7en0Lw/bCdblbnoYc+ANQqAYdOdUI76ywfggLXlu7p1Z6iRimZueZeMnkw3LlXNQ9sYDJsaHc4TzNFyMr/BDBejx431fmBkDyXsPtmuihZ4BD9Mg9SqgAOY+e635sQr8HehYMz8JU9ClPz3ljuxJ7IPeyRYWTiei/RMdvG9iZqoOqKsd8iWG+VStskgZgc/nE46m4b0f1YjJzE78B7oxPVN1F4J56cBjFnJccUwyoXeYky/gSgXZbR85xB3vNxtJ9zann2vqPKGSQobxTycFFS9Q6Ch2h5j/6a2+cfH5jvkedM2BhFDzLchVzTPAnhvw9mPeeyEvEpcUU4GF7VVRY/y70NEJbdPvAtggWYds0n8+VRy6TZcMddAsqdU61CZR4yD4G3xmwN/fe19ph2ImmmdZkDy3Ja1tOTUO/sodkuJ4v4CeBi030VKb+9rZBir/MS/ayHgrlb2uCGAQEeob6i/LrASInpl7r4OmQNeKKVIOy/uMw+D7SUZbToKf/n/RFDwSWn7XLr/hwI9V4HPTLVJbalMJ9QL+DlqttA/A2ZpOTSUnTLFloS5okwj9a6hMS9NPxpY561pG4uTt56CVBn6N8Mp69MVG/IPTZ0o46GAXtM98Crd7EnAsmfrHgpYrMyvCxbQJ7YdyloPxjSKjnkWsXQZ4yH9mzSnjB/GC/IC1/nz3FIMebtyKMcDneVeO+meOUuXcnbqTGvhihbW84Sj5oBFBsDZxXqhn3X/aJzHdlctzc4ddaHXFoQqAYz846JAUMMCcCREuY8Hes5BmknNCJJsYoWgvgDerED/NDFjQR4UY/U6wNnr73ppnqAM+/8yHHVszmeujiRsbNELLkR5Ut3dFobNqnPCPb1yQjMaR4H+/i9duy5jbgA5qXqZ3nlhzC0wKFBDuc1f9I0h+Y+Azlds6Zj425H5KR3mRAaiYsP1QQWLOGAvm6E3pyo7a7ZFoYKeU5yLcflcdTt/3UljcbGgHBT60FhYlfcWypdJkJweFaOgBBpTG7/WKbVOreFZSMvA1s4/OfIUYXJUgXt75UF/w5bTbJpUD+hNiFvfbGOLmZ87F/57LPvE2bsQCvKnNjR9y1csToS1WwAEYlTHw1Jwh9VGO7Tfpk1sFwCQQ70DrJnXPrMo2mhIDPVfH2pVmFg9PmbfSVVei9141EKO3JhKDmWHetlDHCHFB3EdXr+zI1DCcldy/yn6/YOF9VWz6ODrtzB2uhblTV8j+3KlFxKWVsj8v7OgjvsxXGU2u6hpP9sBRVhKIkbz7svt8aNaqC9fKJb2MuHvWyYlEn088ticesRcWs5W7RKf5vDuFE+TxtCcIv2jA1mqwZ3aZNyo256ozpX2rqYV3WQfcToSeZHhpiv1bL7My/2NBfmbAE9EpBH5r2V/qNYfS1oja+EnQX7MX/0zNtCiKJtz1t5NApp+yEwL4uqtWykiXup8b6pS3c3x1ZZy5uelBKSZRD+EvnyeWdlN9fVQB8POxtOTYXppxQmY2RTqCzrGWn97Nurga74wgs9TDzJ0qbf87HRBrBAGu6l9SlxcpxXOK0qcEXXxidgAv2txf+73DyQO2wM9UhuObeds4wIDvCa4vMybcBz2NvyrAiXSQZenoiQFOmdnudY9s0yeTat/4MDmkJ2Yu/OVo/Dn77dRwEirAyLpo332+UyNsl4M+qZxtnzkQa93PzGzzHgC32aKipCgZacvLbO6E3tS4d0DlPEquv6uAzHmHD7RXVen+9UDfWKA04pzqf6megib0WrK+7/feXzTiKBOkb3pYA90/0tef19GZMlEkkwo3T8BKraLyeVjxPYVcJay0SOHLjJkZysoXgT+nwAeBT/b1yCfRhw4rQjMnbccRtjJN6DuX80ETJdqiFN6d9OyBhTK9bpHimKXDp0NXuZwLvijAVPHTk8pJFc4o6zGnPFzrQDn4td0DL01V50vTH5jZJMz7JRDD1s/77I3zEx8meXDbr9J4CTqh8aH9MHO4DmuzQh2vGmdrU5qUqQM8zYJlsqQlEegzwJo8kk/MpjR3za81XhjpEw9bq3Em/+hOmod8lw/4jYdlauafOsCLI9xn1P8yNZwj2RtfntTJYC2mFQ82fGc84pF/EJfgGvgBRO2TCDRWYZLD9wlqNksmtv/ogC0u9JQVCGrp3joV+N3bbmWD/OBaAp+3I+C3ObY849n4LR0oIcCsoW6WIuYx1+WCh8+fe3enMMFHa7KVs7fhgZaqQ5vM1nYdlY9SqBI4UZpaT7daW4tb1jsOP+BZb/CzO6gj4rh+WlVUbs5D9jiFRKZMjcfXVrDgr3sezNxvuZGXn7uFbc54pIbJ+IcRXLRJtrZmv/UhHTydo9DBq3ZoNFt1579xY2gC/GxsbkNultSav86XP7eakVM9Tt8kAE6ElMhYe/2ZNbvqjJuY022Vh/sNH/TNzL/k8bSAvjUeTmFm+0fO4IU6av/jmaLlu9/8f3O4QRvq/3z6U4Fhrcx5rL4BJmkSSNOnZnwQ/oFGksBV97zTGLs4aWK8sMsW1p4AbEH1chtbaj+H/OlVrFepcXwGifx7H9tVkMNTJV9/HqJHNBvmZ800OXN+zcOpgIhNpKUvVZetjcPnypwNhvylqHT4sE3rlX+c2NbnwG9xpz0VTdL4zVYd8cz9RGr9xnzWjIA16+dSU2l81SXUiqIZ0Ab+XTWX2eVWCzwYnaC2M7UiBtx3kqEdkAFVssPwvrlsxNwdbNVBXYP3PjPKno8T/XxIthQU/Z5xBASegQl713B9bAalM6Y0LvQ/LmaMe14Rti3J7r7gwvT1tm7Tgybs1JyO5JBRBe8vOeF4mmoXPYCvF7DEoKM5axhHKjZeH+E7Dgf4s0VGaN/0W9Dw8rt0vAOzf+Yt/8/rI/kyvY6Uk5s5n6Qh9uGzRyHaGynQvWTzq6HEMd5Nsphacw/+Z57YKnenyJzlvHt85q8UIY856NrE3Dcz/ESQOFRjJt02yXfznA+TQyl5ZIUvsOO9ykFCXfY2pwg4+Ai8uE+sc9xbhtdUiNugE1+mM5JE9lQ720PG5vf+Rll26Kh06bAAoTNwwipUh8zMCYiBKUWW3SB9Vba/gwebZWTPAn4GF6DmTaS4CawtTxXSIaCiVxbTteL60RirNePPBzjbUP+9hpiEia+GJcyAX/OouaXOMuQCdFnPNrW5i2ir79y6r3LU8LPqSxYqY5S/Ura9U55ZuGic0p6OPDRzQJsfL3wWyy9phZbxL+ZMv2PjnvYbC7jopFDjyqJ3JGVu2nsTYO3SmPtOPIQ15boKzLyFNsCvmR8cO6QhYXJtXgpYLOB+gG2gJN1+Kbt0A7/josJtxju21pffOVk4F/if8QjHAfAS+uM3/pFD9p8i+2D6Co/Wgs3/V3Z/S2lpN9G2yIHzZ6M/1CPxQDftz6Gdn8I/r6pAhPQ2qgTwuZgHKnxuVJe8ezkR5G4M78h4TT2gLlPgtyeIMTtzlmPNzX6IugHvCWrg3PQyX/JORhVCZU3ZTaLPJRN2WZm+G7d3mxD0H1SG0tLX0tlK5hCvtuTbvxd0ALqnXFV5keSpjdtMSNCsU9J0vpuHHhIdFFbgRRDXQw2Lmel2B3j0hJj+UFH2UDSFvAV50m+Hc+QNalBhHmc345Fw7vEB2PYbe2GV9ExG1BKeHAUjx+a/WWtuA/XAnIufe+unj406HmT51MlAh4B/dyzQnAILUzzzIM8umfHRD2V/tPXR3E9PQ/0zc5Jby/t82appujmFujva07/UQfD52SKgDskhtEGXus2QOYAlh6qQUx5pm/AWm3tkVb81dwKBlz8fFGH4bsAuBp7RaAN8CHgtzR4kal1s/85svZRj6ELufUN8S0nJ5ZRvv+pQFfkAPIqjexVLylcd1jYwQGf7kVIOesknxuO5ZMvP3EEpPODJfN9Arlb5Hb67fcyt1vR0PpSw33t6G8BlTaLpQcMtaGMGWiRZM2anGRQp4oYbxdp9taoP0LOms+9fDpruPKY2rOl3NegAuIeVQt0nzHriEE8sejqUtwUZFWgVAipUv9+XFGNm8GxfAZYC7/vCDGkeI4u6vsj1dON29mJh+KAxvgvafsN7d2Th7/Awmf0lCjHUi4E5qe3HVdA8c4Ru1WAw3rvWHbIbkbzvY88StU8a68n4SR9tdDlYlk0RAV4z0awH7tg/LRr9gfoJ3NwlbQN8K+WQAwJVFP21D473wL3x451n4ixBPSqvhFhtkLTzlSScTe8zjpR0/lVoLtgqT1yriToklcgvm66VNfdtiG/ADryrULMBnfU8d8yqNceQ72aWrKDR1Xg+OaL79IAXCkr9k+xbxvupKu3wxWL/vR8VniIFMSy7enf35AicheIPpf3LmX665+7vE7g8YgIH1GqZ6sgOuM6YB/pwXMOXuNxNL6zP3L83wiCfx34Ru+03FfdFBMbzdu5TW73Pv16mskvQarWtzIzehVrhCpp8kqwFpG+HHLg/tc2Ma/TBBNKAG3vCVNKEWy56AtCKeYPMGfZM6p4gevmznqISPi9BjW57+X99viczm7kalmODEqODQowUcJiJYsfsT9s/57RNKP8/pr6uS1Vd6fov8SE9lpcLISBKbEI+IHdAGI0QkKW2Ir/+rfQ+9vNe7HHOXr12iyE1a86katYJPuPxc64tLNg33K5CzAHPntwCfdIr5+jIS8bKBwdcZAVeiIP/mdk2XNzen5XIaLgyx8bS4mVtfH0gpzeQPqp4xqnl8TLflqVIxnJAAeN4hnd7kPC8qbWxU4c4Uhh/XbSwQZua8iun5DtzCK8s0PS2TCvjkvW/Ow4SoqmOOwp53gYdFrQBOpqej3z4snLQurmNLFMhAEgwH5zukltqFkx91joErIA9YfYpI6iNlembT3Mtj5Cfu2rCRc676ylA795AjzvoA57HAV4Ugfb/TCP7xgsEWg2/+IiefEKnlCW4EQtp4rlPLdtwDvPuQjapPXHITYS3h/FISXvtCA35bvVvpk6lGuA7i+V9Zj5XNloqND+BM9+rQIIuyl5HW254dLFqdrky0Dm1gzMOeVr2XMA+hD0mUW0ZH83hwRHKIA9LjvxXJWxMztuPcvTK1DbvD9Na2O/Z3JeTYNbRekKMzOfjjx/enTVDafxenKM7PI5WMtZ2N6YWCDI2+yTkoPvVhg+olIGcmvMf2/SXQj63MVX/qvMft3FBf/cdkGRQUNR/1wQGMkaj4toFkn6sdGY14dcinc3jAH//FDD7tANeB3oW8G9sxTyaz2cTB6zWkoXddxpCdnT4vwbU4cFNHCIGWw18h0H8EHv2uPDePOqbBzitQWsKyPmNQK6ZV03E9gq5w9Sav4iZ0Tb+eZbDxsvzrQUYudRMxQeLTI3l0ZICl4vLDeQIyPf8BHmhTwXkh0nPTZE5VTG/9ZdMBazssJ0Yv2wODjd7warMuaM5zaTqdHTNeuJMcYVPYgs6HdbGsR/tqHfpeJc1W2zQJa6K7nalv5bSmWMa2VfISUvJQFuI+5uLklPIXrVbrkzsr2T96zSaLKBZzEzUycxyK134bua7cG1mU82c4wDwIsUFqhpBpPGpp0gmEBOQ0+DPWLIA73kqps1djt0w+33ny43PcB2EC2glO53mSE2+gOckVJCqik1+9D5AvQJX/drkbEkPlqnNvpn5fZTl25HFapcC3wadlIFmsCjopRbpTyI6RKd5zQvyroPtqnj/wMj0C1kbyf19OkrTq1qeYpUfV23uIB/w3491oSBPN24TEYvTJKLT3yeondJ4RAHvt42fUnW+PQUdrm14s2XMPcC7oLZ/Pe5kK4zOSSzVa7ca+CaPu482BP4G/3lp8yfEB4jJvd2afpdx76pg7x7X/bMV9tCi5JjpvYXNmYG13UvgAVmB02zFsyy+bByaO8T5432+0YZJiU29PZMfsH/OP3O1LRKcOLrz/svOhjurVn7CkbfKsbEyC2J3t3WVm9hqGsxsVKdy7lO1+ikz/h/wCWaeHA+9HCLuQcavt7/oCprdr4Ra6sjDkuoC9oMLvGtowy4BjVOddlsPF76lxq0N+Ncd1vJKYh0xZw5OIbfzoIT4N7kOlWTtrvC9WAkcjDJc5bbKG0u//b5kNuFFxZA/jd8RqI/anu9tT5DJB3khUTN2lpk1BnvDroATwppcBEcR7f8umZYR73GJR/ysC12Wow3ohdbSHV4kSGCf3mwhfms4HR6iI+P+DXD0s0aNxaL7Be+2mK7Zg+pkVxf4Lvh8TMebwyb8r9QQ9wW3pY0nWeCdiDsr42zTrORFLVhTLfMaJTuuOakYnijoqvedVOkmN+CnrI79rhkx7BUz23X7hD3wUy9TFh2qYgKadT7D37mIUL9OgA3As3oeG39W7YLOezIHci4ixXH1O7kq2QZ4Y2Z0GpfVX10Z+MCDvx4p6CU2JF5uyTA7bwHv/ljAh13M8D4PyEnG4RU7A+CBDuoQxemgz6BpT5wn5v4tpFYiT4ClDVUXWOvh6ChbBtxhqHvXLRfYnTdt1DmiIGvKCWv1l1W/boBLXJPVp/DMG8o8AnFrenlPRNyldBSoNF4A9/NObEubyLarEdEa9klj+8aDc6nRsGbWH4Ndb27jSZd/0EGtNOLHNNYWd+HdjclL/syN/lpbgZNMbAM+dT5BxHyW0eQ5s8y8m3mfR6HDLPwSCHWmbrNkUgJWwDN3h1YT0CVfz9+cwnUoQ1kYDx61+jvGdSoBe+H7PjlP15zhW+aYmlFEK7Fdaut+z1wlcwtpFS6pLJDIRvyqYx03Y/PIhxKYv3+XfP5uAnlX4+a9N/R/PfSAB+PWk9btxV1dALa7oC9PjQDOzNSANc7LXh6ZNn2zSUqGZGrCxmpBqwDep5lAD+bc/zGGw2xNJlo0L3begsYmBOLwPXNhgwevo0O58IED50OB8QIgMeTcVd0x8o9toT8ai/gCSUZH/E0dGeVU4WaQE8Sv0dF74Es+Z8mgaBKzUUnQksTMeGu49ODvv3se41wgU8Pk1C4HDEZTM1o2HrbD/+ZZ4nbwQsWlmRVLytVnfOKbbDDexPgbuMhQh8uCJ9BCRrtY24+KymOO9qugkrT5fVGMv2eo+YYLnxDEfogyTLExjzb7+lxDvEtEHiTIrsoxNYFfdi3IN7e7shmfgA3pNd3d88b54wAvi/PehzggibTRwG0EnK4r+ITPWdG9PTGeB2e2IO9+pnECeFu+2LhlJN9mdNz2iiOvZfY/HrIF/r2oHOSekB8CR5TU0b2Mgb2M2yMesFVbS9AONjYz1yQ8STMlUdrjsGLb95536zUJj2vjkcnHmXgafnRJVz8GTorIiv0m5h1F+mzm5soJGYzBAtYtjQDb4+bHX6WN8ZiH25JFdpi7BDROcqYjPCOzX2z65aIOxOw+jdAr1+hfGodWPTQPNnQR5JKYTOGT28btwzuKKTX1Go4ADgK62smZZA3SlhR/rDxIH6Bbe3inplbyZO7TYA3uDQPuFGdvvrHWRQl5Cc8H218x+wNxCnFtLZr0oFfMDJlCnzLLjlLOnTQyNbHA7YvEzFwJmNPdck1kI7Yrc8ldrnun+pm9kyx0SP6JSOYt5cP7rDJneuKWvDdaxdhauobhHLifmccDeW55GiVM7OTYhORYh/YN9Poi10RWa3fk1s1KI68rR6BL+stRfWM8KnPl2D6jGPTwvAAPfnu03jMGvM/Mt4VngNybtVNyLPvUbYdmAZyppJCf0sx7jm7WwW1ejdCTAMTK9N+1jmfnFCYP0IdrHf2x4blcOaZXHJVrumJPiuSjHN51RHdHTXgDPNzGXN7E1Dnktd2DBu9TLYXocZAPz2s2mF7izgZ+PTPtX41/xM98y6H7aMx5Oldde/7zoiJ95PkfG/IrqgeEeYSvbNTv+IJ9+7Wk9tf1FKVX4KTjiaoz6A27HbkjYqTT1/ajpoOnXvcsA32v2AY4/vCgxWVzdC/wHF7WuEimiKB8xQYr9yIEKUzRt5gAgwryrhU5HZz0cbD1BTT3BkM+zRjw0ClcK/hupSOrdJAX0F9ZHl2utOf7RnicBUlqZru2YjlnXJ5I4O/yvnuJKPGZhR5i7FxZcFM3N7DA/61NVVpC7v5yT+E2OKxfm4wND3jWs/F4OTH8zEb7fKIQk1M3Elu/lAP8PpS05P4TNMCzHUlZC53mbJ7T8L4wS3mMdlmKFGn0fCHs93w+bKg5W5tPPMgswIiSWN5Siu0T9rUsQZtWBRG1nqN6NB2Xy9RAts2pZKXoXmVhziM47F1UMRf5EAMuC7f/2lCHdUCyiuIccv37HjZSRXqtQBPLST5rzS1mo6eZFVgJ/CECTdoiqaqQJzXohqzw93UgX632AfvlgdrkimOdVX35wNHSqQJyHOSz2jHPlHyDvr8wdnvvw081bFFZ+EfgNR7RX7aCGOPGT7joWN6jMx3sSRifZZYkEBPwbnECeeoIXCnijgYtlDj1SkCrcVuFRJxCJTIH3jVwhnbMrin6PVuGz9WOcYnPHMOd9Qnyh1fzC2g9lZ+KL9hzoWPmSNYuSdNoG7NAiyzfphDnn8R4OzK0p/3erYqv9QT8gAt1PVhbrsZyU0/zR9t373O2B6ihF+ScIV3VJ/Cxk9mnwAnD1ELASfVyXPEnngAfKbqI8X6G3+23U/PEkdyBijjCP6afKIf4IG1knyDPfmTO/YAHnnKUTNKe33OKn5TvlxwR4AD2lBXJj4dCTUkOfMLMXJ8byG/KUgEe1L9cdwF25u7EyK0dFsJjX1YxtqnDnfZ8cykAaBp0PB2Wc4qwD9zZFbHP37Ui5pwBB9LPI8B82nl5SDRoPeDHcwSYXSrud8rMrppI1VL/mTnqaObMMeAlZq7fwSX/SqsLGCUadMJVOqSA9ztim2PlmInv+l0fNWaWvJqZBMrWlIbhRlneqjQvS8aPzPLOB0sh0OkvxtEOdMERuPNE4Gfyh0/5PuyrR7VqkllbyDPJAXTXRaDZqXp9ysPBrfmvj/SQa3yoOPrOV85yl5l6M3NW91MHhq0tUxGy+KqGikI+RdkzDW27Dnycc9SlXMnU3j/rcI7ZwLkYujwVPDj+zHIlxtMnyUf5xnkM2sGF7xIyeHA6kKU1s2w1z1Mn8Y72TKqwA7nqI9hfFGJqlE5n51YXnQqVHV73O/Ck+L+7gBm+7vBUQsqak89ToK0mTv5/34NTTVUHenJWPQG+JzeAI3ZqN9cqvJvcDLlo+wSt98mjBUGMGp+EfRqGS9vDfnUIakPvowUMK02tXECuMjJ+EeQI+j0zvWIcod97h1Y8H3QlfjWqhMakP9hdT0wraGjiTNKmmEfFkn3jdilgFDV3prnQxcEFhRvhBTLZs+yVV06KpxQ/ji7W5coxLHHYBuom1//zgYF9F5XmjlronALfM30ZpSBm5qndUnLDA1tAL96q9a/LBnzHBTJeJ3fAzUPqNC7oHFRZxo+9XNIRuAL965Qu7OORuXL6WqgbvmtuX+WwWatwAxiDuxNwwcbi+//d3ezh7YxiTE0PK85H77udNBVIZ8353gmx/Ude95haoCjO97sQdnwKJQgkM1u5fNEQOaoIN6Dt3+fYZWoawG3+nQ7sUTvbXW56tFiCq6i7NMPFAwxeK6Q9FeosDfZmDktXrrpvAn9OA2x8JGdl2sqGuZLDwpmZ/2jNAnRcYjy8VXR7n6UAV0afwJE+2Ao8AknTt32pQsLg+Tj8LkknLUB3DZnV/ZxDw3o6NZU3wJlbPihpzojlml1ZDAqALSleVdIivYrdfSC2Pzb27zz6LHU0JYgX+fnuEKY/c8iNsJeBXX55R6dbibVfjcbNzXnX63ZltumnWHaAny5101UO2k9p8uAuGUrgOCmaJzyqJ/A2yS0btMZv7dxnet667TgD1m8DwIKw7RsrZ+EGPi/Iej2KAH2TgReAX5B3tyMvZqwCPykd8qgoqDxh63rK3HJMwvK8vaSTLJuJLbj/2sC6AJ6Td027T9fQ1EsVoN9fphoopdkL1mEG7WSVg+fl7H4FbPsGzu41oXyk8d/lJLoFePazDc0cwo5iTahC8tEAU6tHHZq7fdX7FgNMx/nv/K+rOG8/cPjHyiZufMhswHVER+B3IlswNfW+XcrEUipXnSHuynpKbhnDxutoYY5ncgto9/QK+0WYOeLY1bkYPSaLL0tx4hPr9lsjzd0OeDn5rHq/Ikxx7Fyscuwy4JR2ZiUXDDFzsOApIgR68Gdm0p27wLPY1scMzxnoYky/XOAD/2jAw9rGWtk/NdZ3zIYnDjfvu9HixBYv075Ihzmj/Gut+dxxB8G7kBi7SZjpWZBwu68K9kqDr+UUfq0ivBPQaQk3fnaW9wE8ykkH9FPvkQr0YjrxCdsAxyURYNzbL+VFNNIi+LvwKDW/I+TCNp7TIQ6NXxdeQBMkZNiem0ET4O4bMqAoLUhfWXfDReG9fXm5xaNqTF+SAQdzyR7wGGKjXEA39LXN3+fYcTsmwJH/uicmExkkPYFYaY1mRXqpIjUy6u8AIw88xksdyUO7u2PQP7c8aB4kXMrjClIU1pSs5DMTjamth5wLezns7kSrsB727zVMGpt8yME7puc7cA1mk7gbaQGxCVwpR+gmI8AEbbQWQY3NEbPukBdxegQpUtroX7biwHALM58IOErQ8uTJKfeVUz7gKfaC/3pIbiqOj4RtKazaE7RQADqRMApr4iTA/828PhWwEb/agT2Vyz05gpYZbJPzPox30Il3gQi6VzpdzPnV90lsTyfun9mKh5QR2op3z8ht4WI2fkCnHN6hgmdiu63g9v4hwmxTOd6GjsQ7Wk8rH9W/zMZuFW6PtTWbuZopaPBCIX8PfD5hdrLCmm8qBtQnTDAPYL203hON33cBwpyRA9c7mFl4kO9t46RVUb/AE38BFhsfnv9qhS07bcPko+k1bURiqkVxNQ6WYvcjcPIEuM1DMHmjvdKgrZ945KZja245/p3vYHqoGuZ95wPwJlt91yFKMtFd1bhgCXuaAheshQKtHS6mms1oJArxX7HSPToKdL2aSIBBa+v8FHdRU3R3NXpnbDwf+XxXoFPfZ3qApSWPvx5VXD7UVD4q451vef8yMzvLkiW29g7ucVUy2ylZN9eOZXONZ8g9mJu6xfOfR7r788gLXVGxcaTxO6fscSrS9Wg1L4ijd22ql7I/D4FQDLERiSB5paPn4lhmLOiAF5YPUfgWaMhzG5mZKPAsMe/FkDrc+PSz+ZJZ2hVaX+Rk5i7zFFuhRYFX1yvqzH10am3fupL+zDkR6MaNz7QlvwEPNR0tt3T1oSyy18GZH8RWnamhzMYkwsBij1ZpsXX/BF1v14PlZIUqpOWBqrWuhKtPafTBkLg4wgRyxJv3LoDJ53YHz5jfvJr6GmKWYYg50N8LiZadqQeo/6sHeDIzs4klz9whM57UKRP3p3TCF4m2koOSFBPifEgKwEzgWsZ71iNlQd668pFS+WpGwE1rgUhCl5o1VuXynepBw5v5X4OZtTjvVZgczazaNmpeRNyN7yHoaP8BmutRiz9OxVQHn6kh90OeT/agl0kOmr3u5f95LYYzYjEqWj6YuZ13HgMGB+nD1O+olfSCDUtJ9Vm5f9fj2vWHlZuZCAi4+pSHd1tMJawVejIEmtrWHoP8cEI+atyLe3RVXP2fjxk+uHPVrEQDWn60w7ynAcYgZsoqziCndBXouQD45yGzu596Whr4IfA84NoYm3pGFpJd1uNv6SgiAaNBizknzt1W2GPb43sj9v/n3Rfj/rjyWYi9mTEIOp7cqwnpZgrhZwow6MuBfHo77bZPM8ex6cm9DjrnBy8i5RNHftaDivAA2mFlqzxvZbUmH4qmGxJqM2vw7bM0VeuX6YGKmwkfypFLDrEvY38D+oEAx4OcaRwo5NIUMlMTt1uhj6xATsrM/STvKtC3sB/udEAnyEvLCdYe8kjPh2GpQVPJuPytac91sj8h4rEY8o/+u1HDktJYfxIOfBB4fRsCzox8Lq0vr7ESc4/0UuHsZSJ0KdsD10X/autiq9g3/W0pjdAlDecbsCFGJ7LSwn/XOfTK6kQz8QCLhLYRgfhHRMaJQyefK/61YQH6MHVGxu/T9IBWlpn7ow6w11zId3blzIK5gMXjPID2LqpVJjjwBQOmLSN0qPRv3+gBtOMHjXnWApeH7++wEcX1hEPgM7iKE4hfeQVsC4hIEthBeTmoV2l4xEheoJF2+ag74MmcuZcH/ZllZJy+uYT/fWRTY84bi7dernTopJH93eZ31vLZ1D/F7dDtxLBZ6jh1pI1oZc2gDdg1K0gBHPrBrC6HfRRXQVeVYmPXwC0YCoEB3ex0tz01UXIDPVOCdq5k/J5tetucuD4D17soR5WgLT9owLxm1V6r9eYUX168B73SA7UNuo/s9ceqh+6Ya5TXU/eRgg6tAjVjV9rMVodykP0p+PLMvDM5lk/gGyWx5/cZLOi1vXsqLisFrgBY0bMQB6bG2cxaw8x70kA/ZchWJjyRrqWlrLs5p7nCz6LUDhfiKK9B+GnmdeeD908G5J+01KEBlnpYzVSQ+c2xTU0e6HNYk0mxnLNnbc9BGm1DDvtfClw0fC7q0RaQ+54Nm9eU2X3d8x9PlZKrTWnLCE+SY42mKvDL0uFm9rokFuybKQTsur/PYI8HCzDW4RvQwyWjCTBaSXIGOAV5gVjcq0Hv5FR6BJ61Nr2pfDb3GT7wqV4EGogAX/PePxKx5QR1kRjud+lYoHfUvglRiSf/zQ/LBrRB6v5dIJ5nzO4TjUB/gO5pVgWcSFJp/3jrjtVrmzKgSnkkB4kS+KcTKeIz/EMrjnLgVvt2lJujk3lk7AD3+b7tOW6G/3+GWvbKzYw1djFzSMw59p33xrcRP9MRvlOBo8aV1+wFcW8npAEeCZgy5JFpirzfgIscBMcXeGdeZqFPFuqRFF3Wjkue2UgAB3ivIWgg4MXsfuNBkoIuccx5emWngI38XMfaVsYvb7hHQP8KNt531MzeHPk/yCmp3G0ByLQAfHxWaHiZuxHgLEtWJMJ4pirdvaqQv3sQ/NL2Q7UmF9hPr7oIH9i5744Oc+CZyhp0LAmNTka7JlTPn7rz8WKz8LaAzvJxMa+nqAPufa+MJ0GzJnc8WE/6c8+RfHMXl6Ctf++kIG+WinVpE3JT3/wN63YVg6bwHXJibfc8lvHBNfqNj0rwj7LoBqX1PdXKnEntSZicT1xdsSgfJwo5TWPacl6IQMomUg86vmdz3wAs/Qi024BX+ammvY2Dv6uI+Vi5wIss29T2bsp+2PBe/0tXPzDVcCrAIeyzBx1MLeseuPD2nk+8BIy8tZCDzNkpFoRx4AcHl7/vsl3IBVFuy09WEJdOKQh5UKdILnRQlpl7XNrqxgr/VUf6O4U8AbxdgGyPeI8qPpHPJvDv9Yi/mSBXKjBrwzmRDkrEiJKSeZBzfj3TTL/akA8LYQ4HTgpxGfuJFIRQ03vidKzqESXCBpzQHen9s9LSTe2uqpz7BnBv1+pkofl9xD81CZql7uwB1x3SiMD6q036+p39Afyh9PLVtwBHLRp6u+PrLjKGFuXYn0fn/sATPonIe2FOuBhUrqLBkQiveNUfbWi92tifzGnRwbpt6gA9G6oI6Hm/dlAJeKBJpN8cAH5HQkvXvNfBpaDNT5R81PryksDjZIxPyuyJKVvZeLHqnnm1o1jGFOCNmfObjGwILax95/DaGg7/rc63K2jdl4qkU4/L7ehs/tfjc7Pw7o/d6sY72KHDdQrxvPzMWZAr97DGunaMXyTPy/XvK3NV307kRd15AZ5pY1ChuDfaUU6Ni79zM+vdSfY/3giuAh7VjazXw5uLYmfzAK7v1NbThv384lySUxB6qmdPrvlQR/PR7HWJfKlsxI6W/cptcoPvEUoX2NOoTN/PP+4kAx5MTRqvKj7jjOs7DpOxYvh9fmiJuFsawIE21j7osnOuFeIOzqkgBxLauULdenAA72x8T230An7nsqiraE+AS28AYXif9YDBkAvSEN61VikbkyMGHQZcZC6F/cYNK/+pCQeeJ/Sr1vxEYjXmYXo1tQp8NT6hnEFMm7Pn79pGLnGApVKUGy9toFLn3LKZet1cApGpxH3ImbLyVcIzYpFPfy0ZJe/+5bvpAwYujozOgBx5pYHMGuDNlXN7Gjxkk5nZCnzVnDkLdM70YGrXP9NB70Crh4B7TybQDrSuB5y8EkNy5K4/EzsBHUgAJ/13P5HXsGUDXOQT8HVmJkexRUir2eQ8tEx9CKWd1YTePe07Ss53QZ15wpBzQXdLM9dCMcjh5+2VTnNRcpKJuFwrh1klcIfcwR8V6IT3uU3KvKA094Ese8KzRbU7n+CXMBWSl6k/IoIDrt25EN1TrWrAQfk4rMo+2sPKev9Gd3+srCdHEMmAvQSLPplg/z45h73tAppab//D26uK0BU76ebwum041abXAvAlIdK5m7rFc9Yn5n55AN7L61FZZu5jZVywRbchoKBkr6/S0bgahmcb2ix3vzagB19pbvwRZd4Cy3nfV6YBc6TxwM+3wJW1jUEzQLxnufDQYdV7HpLyVCRmlnuXD1tdmp63HqUtNecm86u0UFq7CQIee+Cr/xQDcmvLqxqbwe9GV/iz9x1ikTqXZxNK4BuZTabkkKKLDZ/xSItulUP3098Auv6uqIS8s02biP9rgBmAnrHMe6unv46ZrWVyJ8S4qTM2tZOUuT89rIcK4ux9RpSNd6D/xsd5/qwnv2Omb7dP7ilXpv94LdmiqZhJGnfHBvC/jboOcvaHua8H3WtjN0kw948pmqV0EspiNeUD8qpwodztII7ku1ea0aJZDZPM+QDceZukEf+ksE9OxXxO19TMAuxOfF4xkqZ3dDo6yMJu5tbjdmrCeW2nJEsFsgTiArLtR7Pyz0p8PWU8Y253nhj1WxMVOE5cEfGq5pefWivgc6AFkqguANuG+78KdjRBmQV5pASeUJHwssjoj2vubQ+28Z+RT+zyewW/Q43k80TlhlnockKYZJau8jF5nzl8QL6rVI+vNJrN+qY/d9MU27mZ2xx8XfPwP+9MwCXS2N0ncDb42WLBN36VE8Qr9TGm+JXT/asW9lIJeG86fCidOsryzLnq9b3n60KfK+AHZPBYWiQa3u+euHrm1va7mvyNFKldupzkPzPiy6uZk2lmpRm/Qgg9uxmbTRPoXUszSwUJywvl04GtWY+OoA9srC/vM9hYcVKmDBc431qZ2HgkSK4yTOIqzBxi+1cSyCWzPMAjfQTufSAIRbWew1Sjh2JSN0HqiB4tbZ+ItuiQMv1JWkE0dp6ylSe5et9JAZZv7HbghLoI9o0PvCMRqfASZf91SLQAx0w9wu59aaNLLfSZFqXT6D3s8z9Ww/mrHC52CvlAxhJnInnh1zbm6/56KjrdaLmkjvfe83fuZJaZZwgacVe+thca2WdTU8QtDVrCeL7AHgxn3ETGcwX2qBjs8gVc3szrHU3PVZLBs1QihJwybF/Euj1KjjbAEaNMA4tB75l3N1j/+SEAZ0tri8nPnIOnOcOB3yE7KWSlwu2dR+UGC+ATJiOc7xK7M2sjr2gHG/BR/eT+3PicOfbYTqlDHe8FWMSp1ZmZkL93AWZP8EK5DPadmfcBz/6BnczFlj6BrhO0R9fGTuIWdIgUiyQRerbjH689359UE0Yo/8SRd5UUWMCqUqMVGrcjuZWUGDAW5/ffGs6D1Ximhwv0zpnR8MnCu3+KYffpbt+Yaii2vdWO3B/WjpGRazUup2r8sk4cf5/ybYZBRwKXBZ6Kswb0Lbb5Nac4OzhPu5nUhvK3z9LtBdr1Qiz80UQk5qD16wElWdH14nw3cX0gqx8DL33wHlBh9ISylrma+Kc05yrDnQGXftYrOVHmPUxvBp3Ca239eQIPKE09RlO8e2/vXRr+8fKIbNqf9ZGXUtxfMtxq7iY7anM/5/LnHIIJyAU2zoWAdzv5Fnf+GA8IAfy1a7gMFJL3ysyTLfjO+HYb7yqsuwJ0xfuzMHXV2kzJDnIWyldmAV/ycoaAFYIGHwenikPgezM8a/LBIdexfvCU0+1qFw8NcHIcbUfQx/Bz8skGfKN8WNrxazk6nfvjc8t+fUUG0CMdcez0Z14L4jvsENDa87Mu+AzEneDIvrGpk5m1eTbO1mXU53T0inTAu3L4s1FsdmqjGwI5MNMPoL8ML7UAGzLj5VCOyVtX+sxFcx34Kw23kHu6RxViCvrjAfmxSjXP83GzHl1yqAc9qxD4tSUt2JsPzrHpcf6GfT3Rn/tL79kgHXBHGU+iBDvzA94BUqH15oc/PQh1yB91uP3XrP95o+c0fDRiC59z2wDmRcqZq3y4PM1do2QLhnCe6whVpwL71bAU2PgM0exR6f0VEPCcO9uictVJ9F1R099emIsYMMYaOJjdpcANwnywmaDEY9H8ATj8zGPAd6pLZfs+aMgN6H3KeeZIwKaj7aegLzqI1kiFjZltdRSjTNvBepieMeDkLoV9+9sz4pr6ac2aXlccNBFwd69l27EdyZ71f5+0xwNHpmYE7dJAZ8DLPGqjD9A7//X1unwnCmJqSC+AY7bxY6yD4SWEfagmCRv4/tZfvI7lNTWz4/rOPr5ua9l3/yqb/1NWBnH+fODwfuIv+GzazfUki1TcHwr25cEqbWrhaz1se+CHHzQ29YSmxeHr0aLsgXXy0fYaeJR+e2M+4LM8Ovxo+LFy8I5FKqVFt8E0M/e2H+X5zzWlCehkktTwOwXoGtUnZbmWV9MjynY3u1y7x3FNIC9vPDaWV5L/eYCWfWC27Ov+1+OOi6BxqiB95KJ7yD5BJ3R5VcNmIwr0JJH6rDQqsOkZHW1z/3/Ao/G0lQkRfwBjZ8v4w/70tfVJiqn+PBXZii07zan+R/UFNpL91ss0n5JPyDnDCTZxM25fgMBWC3iTMvICPI8UYP7RvQC/+HqY2emgKTzIj7C+xCMrvoLWPEobOOPEgfN2H5B3kbKIhLy0CKEerPj1nPmpcc5HJGugUsyalwq0gOnTqZkXciuBf1dB23ewzzaOidMTTxaF5kI6cmEoeVDTuzbpi7SW5VTIJ/BZ08d1rRzyL7fkmTn4rZdfjEMON3ODaMeB2xHMEpozLYijUQ58qArtB3CeJVsT2fC/FkbdBnAMONYc1wVgrZuULbMn2OuwpvL7YJtKoMHNLNtvd6BNhu1vb2DJ/3rpZO5/5oCEKsqHcAXGOFXi3tcc5fXIgzT4+zI1wJiq7/950GQ04GU1YdBy8sFX3B+dPw8u7jcpwpXk2w81PB1zHgEc8d0LsycxqPq+vB7d2aaRThpzJ2Ur4z3wSsfSNT3QwMn8dLTW1JpPptZPnf/A/uE7Fl9cNvBXBut/CtjVnBfWU+ilxtMXyaDp0Q5w4n/78OYq400JEZ7+9LTKXvUN8DR+rin/B/vTrWKVsQDeP0g84w+QDoNj5ienYhvjceOUzjy2hoeGWDZi8dJiAB6mvyXFNxyhf4zrd99N0jLL1Bl4rZYB6PlRQf7LA2XqaJEI8bG2tl0m7OgUyTxFwEud7QKapT8FCrgwnloQAGrFAjg16DPutgWg76CPtUBdO8pVOuR9VklFuFnSAn9S44VXdFYbLaAxQpdOfFY08YWejcfnI7cwV+K5pGwmvJhvDeAgoPKAGV/p2IXMgri07hW1CC0H0sGnf9YaU9B37/NelLOZ5869aJE6Mgf4WSx31agPCnGLCfwtgLuDFhK5rcz9/gszy0rd8JVa5FYNzYazu92OyUKLOSFOdwS+tkrYHZBfNg1Kdo1Wb37oN9YSplRlONKsFeGzYpiBFke5Bg7rEG5yUm0Pj2rYRmausvzxt7PndE0+KrZd0+H+XVncBa5OT7x0jO+F5POjFY3DncScK7y9Z4/MBvxiw0In5damThOwFWL7kXHggqDyReCH9ar6drQn4/cEe/HCJ99vw/1S09DlwoM8DvvO6spUf21At2TwHa+40Bq433ISv14Eus1vXqoVqqk0XlBzG5BjLpIztYlMe540VsIZzWwW2THwwhesQ1EZ/wh3D1iOfvTaKbSv9bhZMne/lOPXEzA+BQ5XAo/WoON/+x3M95a28fd+rhSRA/AsREZ1loAVxOJWVZDnYYVYGTDk4uQhhqRoLLTJNJqOrg/ciEtlG94z2MCrGadoA9zu0PKkx+dt0VD8zpWa9TIWfN7BHonMTFzIpsADsN+sfgB4BriUHBpEjqLgBPRr0oDCVKEK4HlhP2BaF10IP1sl7IkM9JHUg6vMvO/A/2bDfmlR+NtHX8V/PaYTXkXbK3OIBfk8PEW2FsOSnOIO87DbtUhfc218VL2fHJ8y9UiFPB2tbq2KjsLzUBI1lqkbSx3CsLUFjLNhzRKvEeS95/dCyK5yLo9KLFShriD/5VbTK7yKUOY/fpXOHUH874AHLlzj49Et7YP15kLJkhfEMn2jIvSu5cqvLVemvjzLe/7KEX57fRCiu43QEJGDghhfTvK8PWPIXyXjG8C7BwcuSTS8Ew161pJRSuUkgJ+2eoYdpUydX9WiWUA+PQtmPSrg16W1cViPqmoFfuLIt4a1MxtD/iNZZWHguqg8GS9ER0vAw4u5U87ZAjyQXBX/cmuLE+KQ77wnT4n0vpmY6Sf8rGOEGAPtBHymFeRJp/98i6XOXifx20MX075L5QiinfNHNvGrLGYbtHHWFP6p0mRztHB84tLDDk/yaN63PzUNSNBYZsZXEBfNVerZ1FS9FPdDMWVmngHkE35qaOfW7I29tysdAJtRd+JDtjHPQWLtVtPfxykmqIq8Cp7zP79Xe2+8INxy0GYO70eFsqUydZL59jufzFyyhILW+8ShTWoL+HC0jK1QKXDpdy1x3o6IpRE5g2qI8jVJcuvLNjPZiUjM/b3D+QzaDD9pAXhldAn3RSk6BPjCQO+u1TSAZgVtCtyIuMxpIx0z/uPFYzfCso6OftdVPqtYzgfXN54ccyXQJMPkBLkqI5ZdpCH+KNk9ypy9TVwccHRZj7ae+YrCPExf8E79sicjgXdFpm7fjtkrd5JjGxmv0O0/bPtmLusbozq1kpFFW3OfDVz3fmhN/VskYd10l1E+tdH8Lx+32dH4VIbM5ZS4ROgK+IAGHPrM44tFQZs3MXYkS3ago/vGmm3Inw8aIwt46Zvb7FvRPWU432pEvk/Un/ORjHLyb3iSwK7N3U1ppWjwDm73aeI1N96NGr6fy14nmnrE8uZybJY2RFcS2kML0NM4T4ugzqH0y8W0e+/DUL22DuRS0Ra/+8qB/fz88WKIuxPk1j3ECc9tc15IJuAejqnjZRO+ZaAbqVYb4FNRCoKGabTy1T+bOhb4DAg5/xN48vvcBmJbfQMPu0r+F3LU/plOpg5D/6shR2V9x7NhHkXQaTIkl3y4FyLfDul5a2XnrZ+Jbpc75BO4VpK6JcSxB+kJu0JgwMcEAW85toP3fl+vjCNSrtqp2N7Oe3nEQ/KprO6D6uFlaq+qYVhODDiuLVce6qA1dfX8sgCfRRzitu15JvmXkzs4Bi29gLbasLDZ1CGKymK/mBr39xmROW8ArV/ywYakZHqR9FWFiOaOx83tH+R0erC/XinFh8xWcRrZoQLOD9zVaCGnchPACpXXhbRFrz+qiXDgrxfpoLCycSC4et8FLNxaOuKie2WjW97Dz3oftDVgyKr1T85akwCv/sD1jFWMfEFRnFFsQZ5bVTE4BGJEAW4DF5roNA9yCDdmThlob8bY4oHmfPuZHyD/4DTofBYmAx9tQgMfdET6zDnaMJ6YZzd+FZKc77d03AaV6CgVy8oDdFSvG/CA7tFYmSeHeS+iewqadGTBl1WOe7cdzCzw377RT1NdIIbNChxPMxezmutzPnqYD+WT2vIE/IqQSaWgK56AV1HFifH+uKTo68pGeS9deQOu8d2y+Wh6TiTwe9OLVk3GA1TfIerevnPP3JxJ9jpqQL8YDy86fT2ZLb8rdnNgXcdsKK8Z60Qe6gcbACsgHsQ488YCXgZhV63yVRVcpq4+ZeIG8aKM19mIud7ntplN8553c/Pq4R4xZmougQdY840VwFlcZqvceF+WRs8tjPpWuv5dBLszgiROQf9Uq5LlYFuczXE66piv6p7H/gSci7dC/5OxtlikrdR611TcaWnZEdcS1a6/F4Hs2yIEvtUdcUiGfEJz2stOMQu+f/qibAGtBiSJwftnwAMLX2TOn2dN/66ggczETmrOL4g5r1/lMXPlC+9+62Cdqmc/9W75uHw3k7LYpIETIB+wTpfjn+thBSxxAXnZcmspIaA/uiYiN9OXzH96RDRpz3fAdT7XP3pHPnOUzHJFJzqQl4r0+xz7VjnzlAHzOTpLwkSXZLa0MgdTGnkM+D0uR0xqm+8Eu60sKD3ieFoar5eC3M38okbPVtqjm7IsG3jy61TM5q5waWPpiuCvnWny1l8foKdyGvujmNgKe8rmk9KAW9MJ+IY5x296yPrWfZGuTKsBAZuWJbPuoACBS/QJh7zyEoGaAQ+eaYDvbGxAW3eMsCQFnozbsXnvwzx3LBd+9zOPtFMPKuBA4MhwWYgw8wcTnbpEqgDwKAq9smAWXnFYxfPPfWUlPGZm45ag9XPHrip7/tGvedBlxHAbKj3uNsv/cQC9O6zIeEI+YI09EeCXqRmD+O5k0Z3FRDwlsNeiAXQyinKuxqPN79Tcijoor6IElVqepGV05pybWRRksAnwRMIHwk8Mv8+jDizOFuBPwKHRFTR8QM28J05OtTWsqe5wHqJE6mQordJ4KZRCKzNPdSej+wDruGQDiWSUGb+xksZzluU3W4VLVTPll0xJMZA3RlVUdNfGJXMTkkgIPaVa30sHCTLxLnUgRhh8Pqx/OwEPHe9TPuAp5zNqhruTupzXwEup6RGNunNjgY7iWJQ8dE4UeGchnaOrfn0djT+DqTVOAV9anl2Bsy880oECLkNAB9NoJqdYRthJcNmjlK5dzyDfZ6NyZdztc2F6xPGSM68ydeanwNRoeRfllisEyC4N7V9/m1yzJ3PlI3M2K+ihmY5ES1NDX3BWB3v3RBVo/6/NKW4eZvZp23+9eCSzrCAfZj4GD5u1EhA3g/4UVP1jwME4wx3f3TVwBBf07Tu+PpsgvAKWf8I7GkvDYTVO2AqrTzsmd3827Ujg9/GNWkGJ90CwRr5vmG16yzwZoYq6CokIf0ImjmCPfZuacMBSt9FdavovzFnVm0eJnnknsdyA++XA/bLjSuSJ7lcVbY8sUo/S2R4b5t3VhAcqUGLqivPwj1v2+HGA3QJ5rCKTmcsJ/GQyd/bbBdtdVw5mfliCAIPf76uE/PiBA3LLp3mXDsktH8oN292e5ZSCxjbzUBPjvUpMfXUlyF7GswAermuGH6JAgKB/X63mHZk0cPMuOFrex8+MGurHDUWc6PJ9zpab3j1Y35kVw5UX6oNprPnQoTRShSz+XsmwhJU7LxLycUXZMw8hT4/DU0K+B9zvSZ+M+bDsBNUuYV0umJyZo7WI55jECDTir6/+qKbQzcTW+H1FwHlFyzhm4bzhjleUVFNYPzOvM6rgs+E5aVMAJxH3BTP9MjPwOJUMMlCVF389Clhci4WUI1rgPWaMYVSx35olu7buMx67mUCeghxyIkEimHO3FZt9yczd0uKnEMP5qnI+zg63eZJxfKWhemDr+eKODQr7spbn+ycRpWfOZE5cveRPXZH+mZ36xl7AF+BIej7t7qwNjEedvlTW/lmJvSMMzx4XXKPsyazkWeV/bEyTEvJq0Ibar0KS19H2xkEHpYzvj/AkuEAXFYRuRbE5v6pE/PbfuH9T4KW4bx6A1xj2fcaieZKr3ED0fshoWXC4PagCR6cQdHFsyIYu8FA+MuBRgGcPyWTCBwl621p47FPjC50VasyjpMgLP4PM8a4zv2Zag6LMLEozcyb/X86y1CEdF6fuuf5PLy+H3JYhH+4vCrkQjyg2/mIs3IJWkcdafz0rB3hcqBMc4xdBiV+CjhbF1zNlt3dO+awiSUpLLhU8Vh4q0D9z0Yrtv3KVwBfUroq7MY28nfF/5RMmDeBp5uJ/wBl7w7nV+PVsCrXPgK9mE9DqaU4h/+PSVuecygK00tv3G/Kg7AHbJDG9jy5/ggZ2awqoxRCpnWxldkKpbXzbM4sXiDUMealYAogtF/ggB0U/Uyd9MOPts3LNQjT9F8uADWuS5+y9N25rHTQGR8/1j5/TcivXZCZmRrRIlsyeozpc2CmUO+VImVGCM80ZofiEba1rN7RPsPatAC0zgTYeyJX0e8DkBHS1mtMI70vQn+/4gpg4tj2yskldCBqWfLRBX2Fu7sAE6y6nSJWZo1gbdkFqfB4jNFex3te7ewlaBt6deX/GC3TvHGz/0lh2KaLbhtj4IniXYWcOfvkG7IU6nD9K+tdKtaK1xUvZ8+5oE3gf4RPUyY6tkgiKXy2Xr6ZnVxXZH8D/FmKRXTs+F4hPkodkg01tDyAg6CV54qY2XFW1+/u+vhvjcxhqBhy/gL3uCyGzOvTueDDeAaB3JpLkk5+dAiSOq464Az+feGn8/RT6erBQjkcL1nTCTjrYaWmjT26ROLXklVvzgUXk3eNTljboOYhZZfyjhJorR11B20V5KClxUEAG4AQv4JsxKjEjEXPUbOa2lgVJlWN/AH9gYkpO+fjHM7WUori8hPEJjJGGvHIiK3qf92pYH9Cvvq9GEmfC46nQBzLMHdeAV71PqmgR+Ly1QV/60pIJK3ydW/eJDNihBSHAswPAiAL45z8leHWi8rNmyyt73f/hYWGN9t93HC5jngO5JzWzF+jkx2oqV/y6658+53BbppM5t1EPMaqnQvyz0peNGkKHaExZ2IHesP/BuzJ1z8bX9kMavhqoXR2E5vTPrWAfv/tuIBc4B9c/S+r7IiR75vqRRIPDww5y8s0tf3osN+bcDXCz8Y4W8Ibd1svYIhSFfOJ2z3S8PEToBaluHgIwM3U633gRsL57nhj7vQvgupu41qGpMzlFpUvdZDm4+6vS3VkFyebgckf1X8ZLCbQb8dr89mgHu6Bh6dXFXKm1yxjyE15wzhzuYcveAT4PfNjeciax6v+++0avknVZFXX3k+CHvDe9fcYPYPCOzgb4hBwxRccG8WOa3y8V+uvSXn9SAaxYPFfgo7cS9EI1KkCMhOXhfMim2fjRefm4tVuxWbjrv+/o4fmTp4g2a2p0uZaVHP54wFEC3He3VjBPMX2V1jxhS/472IgB7/J+PIIHL6qHFDBXy7LgeTXtbcj9LuXDSvP7JFFXMg7cf7i9z2APxNruiOl/MnltumyOpn+Gd4c69oGL7F8yZqZe+pODQscxcyFWd9x4HCD/wHsJ+aV7sgLbZPJnFfufmaVOErAa3nOJLYwgbt49WXvYkwL2ZtyADq9H8jR1VmLoNGixKxu0me11IFRfIGKOKZOZojoHLoVyjTwyAgYjAtpZTWmEQibQj297Gio3HdFZjsmPh+H7zKEpfFkDXtfiDrEoPzD7s5yibs4H0JZsgGf2cV38ddoCPyD3X3J2v+ervKYofDUToZTPJ8L973K0jN/pB2f3Tep+2fkA2Nl3ZR2gdw+dw4vLWv3XR7lP7XmsOGij8z386WcWGPBIQ77qesjNsQiXqB4TU0spgEdtmhD4ZcGBL9g07cmTrPur6ZU5xeiRuckMfBWn2n/3FH+n+fZURZfn0Z41aOPhZ2Y46PRqgn3ufv34eRn/09ySA+BSAXHh/fQ5xcNGCGLmSx15KDkd5ktpZa864D5o8v3B7gzXPpas+9V6nIFy0klZOXczq1mbMx0SwZ4R2GmsuYD86vB4hvW0MbaZ6Tn6Bmx8thEC3EOzEmSkhX+tHGuT2ukK3Cnjwd8NYIpIIT6Ii/RvDadAB3jeGWihnZu6zVEfebR/QUzFNZOfpJd+M24prNXMpoScxP6aTWYOpZzz893PzIxdyOI5TfzaIbHgcpcjmRPgMTTEYTaSN486tma+BOTINpLfrYBdCnkvt+YRONIncK+XoumrLcxcBTO7gHCByoecAJM0mmUB2YPJNGcdKSFXcGcL31un8PteNWPAN+Wu1eR9F+BzCLiG66Cy+AfoB6sZiZfa0m71PKXA56izZFiXz5STMLfnQxMtn6LQlEem95EjWGfCRtsRcbY5OEtq6g3ziUsCmJizOZYD+b2TOqzaeBYnoKUXDHocdAVo/S5KB9Cso2Wl/LLilTjG+yaz2VOM+gya5QOywa4VkPxC0BnCnBFveVYkpQL+W4nkVofYJ8PWKq1lfZ8REYRPbNxmwDd4HpRX5TArZQmVow08X+2y4gswLdngnhPg80W97l0M+ExRl2LIo8ruNiQys51QkhcSMEV/MLtjkIvMNOZnM7x7pSGfwdM3I89ySnpq/JZA76UjuQF2fJs5KPC+VmzjkfWoJ7aMxfleHF7A1QqZYARxN3VHyJUrWf96LW1AC6s7aNIKB7Iz99gs/q0/3J3gudOiM/7ZY+PcywYwpRG4wAj9A8y/p6HHahcFBxdxycuHmavIJw1vVs0iNr8XJbCjclgLkWozy8i7UJutsJfgHQNeQe5811WC5ulhbeKmR8Bt/Lga9ScrOp8wHOQInTKKGWgV1DihI6LnJnWeDujSFxPkQB37YLzwKieEffdlZRw4q7XkwGEoRyiUwO+ltf2dEV+yjQXxFnFqvBGNnxMpK6o7Mm5NrzUHvKNHJ+mx6y94Ak276lmxbdhSbavY+LHpc9Orz5/+WOPv1quDoLAnXR2lBdpL7b915Z5FzWowV0BebDmW2Qq8M+IxD5nbTsqVrsSQhz1lD5vS2g6KDvBnyassgPcz79xOjZ0Cx+E9+oZYN/PqniwCvmB1Aza1luv7rg04QBQCJ2bmLvDj+LpjWZj+kMvVvBMeDRZwCww82sIhoiSy9Sn848iI25JlGxarg/HkUu7s/PSPMUlqq1xNfWP+n78R4AR7fy9zD/WkQwjfWR5O4WYFLJClILfSsUuiEQU6cKZh99/MBeOHP25NnL6qwuAIs06hnbEgySukpdHnpXX/R3Y3r8q3tDaztPvufZf9Ymy/gfeIaLQlOVMbWBvgbynkY/TZ8L/XUqt76ci0snGJ18FJaceyAUXlSD7Sgb0U8ndVhL/TMclFyP/lwrLhnWwY5/cUuGc+lW8NG5Zrl4JOC+FnMzMzHiz1Sgd+JxP5NH5YgPoHOnUdYNNFiq2oCmaV45xnwOPzQn+2k0xTy3NLR1/yHjQFSLBKkw8COaEO7zNzv958I6st794gdMup7+TiDvlFE24nXRrJz4ZizoHvEsaXUsxGo4605/PPbCnrjmoLIl1wlyAkKuDUFVfw//deVSTXmm07yf488TS/awIXMvIn8LG10XrDLG/BQ+pgtr3WRRdUIQ5ARlPu7F+1mQ8l7IBDfmGrf2caW6bGsGSmvtE3M9JvmbM9Sdu/N+ILeOf8INFs+PD7jl6qAuVNrz9SC2LJIjwXCPY46PS1c5jxWXPYVdoIEWtvFKiTW3YGPCusQrQcXn8e1bgtqdH9jvetAN8l294lBX7rdBfTodNEvz4w7o8/9qhukIv/ZYxZlYs/a47NnSLo8WTHRdeBrnepmXs82Ivov/7r+10x/O5yUzr3b+D+/s98RADkk5Cy+X9EXdt2o7qy/SUuJiN+bAwCYyMHoQvoDZBHCAhMbGJjvv6Uso6zH3p379UdX0Sp5pxS1SyXcx6g5ehIN3f/Zgd/C5QtJJ4gn5BdzS8bPGhYFnLklk5rxLnM3x3ggknGAHcRMXcOBWTiO6fADxl6S4eZAv+1BVVTPqBB9J/2wZZXVcBrxRqftR++9rKp4YTXfNQoMYd3j7PGXgq/Gl06B8e+4x7y0X8egOZ8n0qRuiWDvD6gK/DMqo4h3kOUgL6+ZitgsrCRYNt7NuhRuqCSgJG9YiP7uq2E+ig3/RuDvkB8YcDmiIceqgRCzSB7ZTUbhfQ3aLE8R+rjFGPju/IUgAPAR5ZT2GyAf/6Yuna2m3MGmPBb1yz072f9X80St1WRQPzNe94lEmt5zPp2gbifCUqeRMgSYltCbjye2OTCvltAezwEx84Z8LG2ia8ia8VfN9C00wBaruDispzETACHysz1Xz6cNg58bmar/vKErzkCzDWe7uk5tFfje1va/hsLP10cq80p1pAT3oGzQD6Kkgdx9g/gDUHO8AR7mAtzj2JmevX2dw25hAehl1tEvjhABdoWdO8J3uuJQ2lmpfx6zVIxJadoenB7b2YyXIDLSqnVgQeqpMXFkZ2/1nq6NqHKCQecQFMPeMa4jT1ucKPQNrVVUvHyxUWDXCfI9JanbDvQUCIzG04CXrFYYtDx6CwgxweZmdcu0h50nZm/4JCnEsmEmXUFftBRYBawFuHRuZn+2C9G/93PhQI+Aus5tK/vZYGOFE3RugeHHDKXP6tA2cA3Tiz2W9J9OiXHQc2mb4b0XKG9RTtFazRxwLWlcpOCiP2j7n/7QXzifLrncG+V2szdSHS2Ql4f/84chnzVJzOr+RzzHeR75xyQB+YQV7ztTa2r8X+lRblkjjYzcTzC0VQBK4R9QtIoycsBH6qQcwz8oaY8qKh/a8LbE3Ifbqxk4F376l1aG4ZnwmFPCTtsbMlTwSwxgt4asyV1Llfaf/7GCKCVV/HWO7gTaMHpox425mdh7e2PUwFrE+EYx/01f747Zzalma2fxElcTDV+1R+eQp3SGJ4Ls1camHMrWR0dDDoF8CJGFTwX/xSAvh9Cp47JAnp8pR3aNVq+VcGnQyjskoKvKlKTcX1Ro7T5WrrGY5jZE2OQrf9qOGnqpjx94JCEpnYOcgfwIRzWgj0415fmOQN2ebcm0KZ/4ZD18wG01zdoEZcFzKLM+K9k9knYt+Pztmki4Cfd5/3cJTG1/z14sH/F4U9lJw7kB+s84L0IVcKcdgb+7mHrcz24bV+BZi51m6WBNLsjT6PSNme2Bysx3mLzwSKHKkDXs9Yx0YSUoj0QRgZctAPE0E0V6lVLjBtxAx6qhpSSsOLGCyJ1yk69ncNkPqy9xwYEOjc5NF3jMIR+JHuAnuT4hP5Z6cpTiMFv3j/cPLKDpu+foCcr1ieP0tTT2OyqxF/tgc8L4BG9XlgQOg3kpFOsPBZPDgnw6TziSe1uVjNy4zu+mJ46GbdHtqLx13vXbQXonAv8XFw5xM+Hz0dGs8dZ3NZ8kCfubGwZqJfWQ5gStw6JmcJ1NOOajH+88f2ubJLwAWPIheb+I2ggO7GeUzOflj3fbWWjj2qYPtSK2krjhWr1MB5tpZhXXoR3EbRM2X5uugFffVKi967mvgAPHgWuxprQ9rjQwKungxj/Wcyc9UW/d02oDhPBerVUg/0DeGBqJCrITxfAxg3wTOOhepfWfk1juWkYd9iKj8rSf/N8maNyCDmnCfWH8fhO1+QA/JNJw514Bijur2lPYsD9L9U3T8BwiSFPSX3xFOzSsoD/PioEe5mb/oI0bCMqkjENuQeRPVL65/VBWIypiJSV2UkoGP6uYuIKXjq1/uce7MQqjZeH3i+wvvxo+z5bea8KbGr/dgzy85m9b8ysALyqE+70nFLYo9H0IWjzYMh/5M6rhvP2UELPPCIHkPnC+BtXTB+kTgYRJZJFckP63mtcFNNAWtzWM6YIuKnt0UJ3dThVNZ9mM1dAjv88wGi/ZrgFDXtLI76IEDvAF17f6waazJYjyTnbOKZXUQIXpL3OM1t5FeJz1SdfmT0hHP/WbT7rWGk1QDQj0KiipbXrJ+YuTIZKcsD40tqs3NWQM5GHqb/y8d+Lz0fACH5qntxL/VtDP8J+AP3Lv+qOPWtzBiD0UTq2MHM3GiYppeXd+NJkgyKkK6+APwkZkydgayxXMtZi+4ULYivL3kmE27MuXxrWAb3kpR0BHbetWJH89iYBhkzAT1zA2lEOyUrD2/Wwtt95YTyRbUxQuJ4DeaS2D9iC33iIAbcztwmUA+8JnGXyOWt3OCIPGaDXfL3HibemDQX4s6oom1eJ5JFD3CsUguZIrsD7vuH132BfIOncHOrKJ+ypD/ac4zxQ3Yn2pv9nAG3/c+bMzl0fuEG7gpZYefhuHyzvdT7vqdgMkp9IGmA/o5ofLGwm0Pc8XPbcRh5wHFA/5A6a80nQ5wo6Q+aOV52B1guxfGCX3fNAdzTclmRFbtklRi9tQNFv8MhBf+M/b8ySefuDI78ry+7FSOx8JCKPymdpqa/Dqh1Yh6kc+ke2+iG35CV3bNJYMm9s/yt3L0uuuQ96wZwbeabfAw8LVqO+Ep0slVA665e/Hh/uWOb8Ii+LJIeYucOe3QN2SBp/roRp4AafGzU8nJr/M5zkmsb+DwPdzyN7L9jspjGaiE0k5LIfjNDA+NSJ3ZyQjvjABQLAp9fdqA9xERKXga4H5UX1U9JEiAK4EydRKj4faQ98w57eSHjZSP5vc7AmKobShc8nVMBAG8xD44DuiuaLmaPT6Gyp8+0vL860RkT/1dzqavh8qgj0xLh3U+ti/85KchIr7ZcB9p1Wbr801tSeo5ae8i0rO1Jl/RSkZrZgh4J0bH/qEP6t4FVKTadpUvLRzJjsLXO/LUHX/NXOhfsrdsiS5u9eWegnC7dtE5crrPvlzIyvS/vFw8nNGM/oqokK3x91QGIRorYU9qPqeGX8KICv3HL3n0fybdH00swBKCB3eTV91WPfvBMNjdfcJLg+mVzK48sVM8AEtv2uegv01nJMeTKDLLtRZzml+XasbTwcHZ2JeL9AjgS2sTd+LB9Znwymd0HEEz7a/zan3fuVhdZrLxt/1BL09CO1ec54e6OalIbDVdF2kbaipUtuKeWmBv+DFrDe9N+zCf45MiBPAV+tsWyXhIu5o7hLoatqUG8p5BpKQ6PzHMX++uhH4MQb4PAnISbYD8lUO9prWGjuOTXkmyrv8UU6sFM62cG+kbzHgHHNkmn+kJo5qelvHdtO9AriFfaAswDbkXcV+wcGuJhG9ssreANc/Yh5e1BjcoV8yUgPOCImUjpLK0RibuANbzfecoChlzVfiSgFiong30qYeYrpClr6njMTt6qtwgnQW0OOgs/F+SVz0OucbQb+3pHfecCZVTro2vSaN27SZtb8cx7Qkzmh2a/mPK2tXOC2wG9/91+Q3iVKopxLlEP+Sgf7VzMAN3WzFV244y2QW+7V//qkLDO0kVn6Wvb41AgO2hnF3Fkc5uArXduEhppSRgrQC5J0yeUs8N74nWMXtC5Fd2pP97QHHcnCBfLFk37dHhXwmlqTHxKnTxLKv7kwkOdPpm/AzFv+nYdoelJ/5/eSezqyFWKrrzn5b3a8MJ4lU34SS8yHOcr7+c7MbGiOAuAXs9htv08x0MYeUGVY+qpvXPj8L880TTUacL4NzPnI2dxJjSCbA9A0o55UITugVHcu5BN/zVZF/znApu3U8aTs2zKl+NfzGLj0KJ/bHHKrB9zczHJG6nnzaEBgH9ivez10iqfs3KEP04tpsDE1Hk2DXviwvbHCeOsbzGk81T/uxkuW2clbraUnIabNnXLtqrRaQWc5E+VFtpIe31KnMV5/l0yT4NzvX7i8ZnRv5UhnB4s7Wde2wP+pQHJoYr00A74B5zMzIynT/igoGtXw/qBUnVivTReEBfj0uw6yt8Ny9M2sdcDxZQStBdoThTjELy7qip5DLKojxOY3EcCljd8FUzPuIeeIpJWm7kaHT6b5D3Yuaz3MG8oJMvM2Sq6SZpi90nk3+xo44+Se+9TCZlbRKncqwm8i/JvXBjn53T0jdZMhu7LR+LhP99xSSDD7m1H/Quy2kmyBp10CN4Q8ENoJYcDfd3NcifmN9q3p+ZzhNWJgTIe6B+zs5FH1c5I/5y8zR+WlHUCvFqm7Bw2n3LJQ19SSExbGBXFec1u2jZB34G921l881verGiF1duG9DnQvI7k7mHt62GuZjVb4LJYys0Dz+aHCzZUHvk2Lv5gH/sQ2JvefBy8EzPip18/70fUnU/sgA3alzg103uRVu20leixL93PNYx1z63avQilgvZ0cmBnuldnnYSp4xOBTZJx7OZM5cf9q5zb1bkYk3rvl2MbNiluCpiVfkxW0XQm/KtAkNyUQ8FPIzZ3xomJP7CCRP7fEsEze23fS87Gyfu/cLmw1/Xc3Oy+0m4IGk33yOoMlAnJyFfgP0fkt4NJHxRZiziGrqOW52E5lsbczSn5qjd/Uc1vUI7NFBBhqzkMCyHodvmBniwgt12b1melPk5bXy6G00nGqTsFf3deb2b+ncDtVw8XMnX7kvapqxmUaeoeM4pVT+Q37cSqd7Qlw0Msc4PIItGXQ/s0vB97pZ4y8HVd5IvYEPD7B/GtLlOaMBu0r5i85Szrm2Ccewz5bVWe8jkXkeYBX8LMt8DnbldxnTO9NvEOewDY8v6Mws7eoss+ASgfn/Q5YcaHC801/efk1/4BW/cERv5MRvbx07jUzZ0DthcRYVMPsAmCC1iZW6ky2ccwFvv/r1Z3qf8Yj2XQamFk/ITXTsWAvyUIj1u2vVQSEmKJYdvKeMn49OJur7L0TxNur3uYKrwcY1C+KfnrMJt+gyb16+AR9oTc0atNz0VaZ8FwZA/+CxFcPnixttsl1O5wgjkBLe6cIA5J+utLUWjkkyR0y4651c8RdwJDXmUOJR7mnHe4gD3iKYXOfKk8x/j5Y0qcDOZVmjrtOVvjlNbC3S4tgFW5h7b0J9L+oxWRqoiG/qVjEPmCUirLht49xrHpgiZz9r8asR7Rm2vhnlcwBzTKqD0o5/Hu0E8zLUzbB62gzi+DJtRI5K+8K8mIeyRNG2mLjxTaz/swdd+ZMkAtnDJi0a8L5gsOZNeJV+z0DTso4jbSo42xT2dz82WECreJrrqpIZqmZZWB5BwUcvXKS+AypjnWoBSzbEOBuwGuPpv/XzHkjmsTUmTnoygPpZzNfFGfF9Lob3TfuVMoeOCFrH3yw11wn8L3VsXZm+G+wj0ZZKcv4yPgj6LJ9ypJnbrcjL7SQlhTAcR0x2CEo28n0OVL2brwl9G9f9tBAzJJX7rXVAPwJtHi66jdK24wUgIHuFJJYMxwkfY7UVHN8A/7iEWfqzlSJOgLeB0Kqcideh59W2TMHuOoxc/dWxoHnCQwcLJmlnmA9yYuz/ai1/WgsVdLQ5FxsA7fYwD7tjC8Z/H47Uz3ggr8JwBbTvwJ7MQbu+JXzKcx7fSzFUjSFdupBfjE0HTKhgzri5hxdEpZ8VGYS2//r5YOdbajxLAGtXPVT0iDfAjVxkkJZwIcWWP9LM/I96PcReE/KxdLCek64n7JqRYFk5QbyyQT/7YSN/wZrTI/sg4QtxJOKVIhf2lwcLdVy2sKXVaYW4NFEtq6HZWGdDg5262FH25KSrHGk6dc7pBT1kA/3QpA9cIUHBq0oRWPn4XSsqelJQZa0Fgkaw5y/jLD//38Nb896d7Ox2wYKJZ3qyASc//feGzsQH9bsVcj/hjyyOTheSAfvTfXJXn5tc9Cvp7qYLtjMA7flmwq0Bfjtngssq7B0aPx7JnECnvPq89UMyYX3XpY5OqfM9IJPNvn1rG53ad+u8r/+wAdfS8/00mPWHkFz/vDnbVHWxarH9pjR8g5cUrOw7Rjo5saxN8CpOI8uDrYurxqYbxrd7HMo06bACTzHB/Ds3PBVU3eu3GRTOqFLOwkYg1gpkt8ZW9xtXYijO7MSyEHqmDrEbkJvx0XqnmLSV4EsCMffLFLGn+qFlY96Nc6Q1gb0/EpAf5CeXQ8uv8Cztc5f20POtjcegf4fW7+ywvWsy4dxhIC88BQ88SC/fkFcHlV4Wyqm4sbZLIAjP8DVbNxnLnaSV02F8fjUaQDaIfT2oDuZLBKLDO8uDyHHDfgB+Grna2tzR1ugAM0ZHWGFH+awd6rIXs8FL2C9bdUv8Lz9NtWmL1g+copozvmhon93UjwHXVOOKJQ2rKEzkWpUOY7xLYd4OoXLgTA+Nl1rQcytR3PHks+bquff6VAu4vcednmYubiA2Rl1MOg/XvDBzISA52cTllqP+997DQk9WpDPbPKVdjwnEb5JSx+ltWXwmp4QM+jR5o5DtZpZRyXbGu/i/iR+a+skdxq3XlFB4/a7dFITIzax1FvD5VfVSeBef7icSVcnKpxAZ6AEfhlL9B3Xvl8LeP4RkfD7vWKPBQO/poG579BvKQ0XwFKIkcvTzO/Md9uPE7s8cIgmFnlaFO03Aa1s5lwcrT9/gLtiKDu6PDgaTeCSUmr/gwLvVytZGZsyyJdjls8Gj36AA33Va7bgr5sH+a7EPdqx53avInJNO92WvVoU07Ec5de51/c6BAwb5Ot7acC8EvjFTPT0ZOH0RgulZcwWUfRLZvu0cYHsA0fK4buwAC050+6ZYyIjwN6YPWrjJyJCU9uUpev+ieG7gu6zCdegeUH9jfgV87uUXTa0IJD3lAvae01dtmHGH0sA5w0fjorh9cU8lWy+Vm4yYVNjYCWErJLjEVXEVRHPt6Xh6SKcJ2VqFcbUOnP/7fDcSsDuF1bGGYXPrlGVjexBkWZZr+fKsSG3IkI06Fmbc+r+W0SfQu7ApNTSZTR71uzmQP7z68JPM+Dkyvqtz9w1TF0x51/8a+6A0wfwWV932StoCyvvl30aToko0H+e+drUtS+gnbGgPUZ8N/umNo6bmXPOVsCeAo6x8CZaNrLTXWbpuBYoh70MShQt3JoX0oEK1PoJvPt1v8wIT8xdMa4CwiWsC3MU7K12zcbezQsF39N2qPH6sXAO+zARWs3VFzznQCZNz08QM0PK0Y5ohHMLCRXD3ou2u5LZ5tzhK9Xtq893rVbcqYHzBnDo4GRWY/w3qb+B8Hz1RX1Anr+Z+D0hf8ThNiRhCH/PPXOPInoN3EF3PEIJZ/zWoNYnI+gkXj7Jc97XYfJXz9Y4s02RBH6OM/gcxtf7VhYtPbN54Y7RavsrBX1ZOYDhz9k52qlHe/sjFaFXrmQ4rtmGd6VdWrqqQxviB93SsOUy8N9YPz14/zdjt6uGhyOBt5s5ESowvenYOQsypLaeSypn7uIfiIOVxIRklm1Vbmhng4T3UkE24mvZa0TtxFbw6YE/XXigYUWww0diehV3pd08/jRRb7xB50MT+EWFOAchPmOkPDPPQfWWxxDiOPBX0AKw75fprPEX/B3lwj6KfrrzHo/cwm8QEz3vZZnSdlDDfjkxGapAukS0r76ALuV84Wi6nMU2KvnnQkZz3jtp0ZOAWRM6rmgC/mV8Nx2jaQXVH2yY71jY/MzUnsfZMw0fXsP94uDw5WTOEorpWiGN0sHzlM5e3ysynvFVDpwt0Kk578qHiVC2/WgoqSrT2xCpIht9IkIJWg7/QNwap8VW6faaGi0vQAu4qcc1/6hdv4D9sqRx65o502dNTtR59fjcHOC9OO8n4BsqasbW9CFH1NG/B3xGpRDYX4wtPi8mX3KEjFf2mZEd8LGRDC3K+swyMxYzx/Mypu/wfeIq5DaLlZe5mp1BN//VY8fTSkPbxNk36JAP8eth15izf1Y/QXcwy5zLSWB5ztF5APbzENRkgjsGGIoZi5I1HXBWrzKoxHTHvYcrXV6rHnhvKEEVktdZSgFxR+oiuXMz98eSt4bJiQaoVA7ycju1Koc5wOF3pn8Z93xf9Y9HBbHFYj9PEQ5UHxo/2oWYGciAJzzSH/I52xAxR0yVuT96cRtb2smusZY0HdFSu8iqaQJqD1ci4JYyvZpFkpqaLPJlzu1ujzzMNsxq54pyWfIEcoB2ToiDjm1lHifjwfLSPGT3Kp+xORMpO/Wqn9+w+NPLzTnkOHFa+Bp4h3Ue/20OruKNK53GMf70CehBZWPHBo7NB9G/e8pRGhc6KnUbm/55NegLPJ+ruY/O2OVOC/48d+VVxdmf7zdlfE96bZFOWccVYiFAT9iTJ8ms54mjAwv2DuH8qFzfahz1PFPkYtPfCXhFgs/fOpeq90LZpcYP8bd2DrsZ4Fji4tAOWdy8+EYK79+qXvE81FM52KeKTR8QT9+Y4tn4JFUu9iF7X1kISGXZPYsvG1xc7kfH3LGXK7y2e6bh/eAAJ4s8M0OoBF48iziJAL9+Kqd8vupS0kG+nYdtnwvb+E6x1EUdcFnQ/5Ip2M018BXgLqShrTTzHkA/frMug5x8M3WlO9j33gmhQQgeSYH63JpjzpTL2OYK2Aar9Xe2PMH/v1Sg/bBLHkyjW+YQF74jcG/fgecuUtp7RDPIbcle7LbJwWnbymlPIrLueehJ0GBYIkSNTjEz0WiEpnPAIxEqj5mhGJD/Xhwgc24PGs4etRbQEMjMhWmlsyVNNO8x8LmGt8HR9oE7py51pzRbjb8iaoGDV4T7uhrQV4P+m2V6/p1lio418IXU3D8GZCyt7O8OUQB3biKO8pXPjdN2Z/15L1fjkbp/gCY+KmH7oFEEAeyEPYHNbCsZkh3o6ha094WiJE9DAriOfkSHSW736zn00ox5I/AwmiL1yr37ZkVztUIOK7hFQ+Mziu5poTFgBsuYBdwdndJOVfn4z6PDvKZiocx5d+D7c8CmijrtIdXE5KsvwX1cmdoih4SAMSnt0Jz/75zNg/dKSnEBnYEPFKkv4E+H1NV3zhKqLOPHxxPApwBysExD+9L0Kpa58V/0JOzBj9zUIBVtpwTOyhEXzPj4j8kF+CXJHfQwfdqvNQS9EJz7z+WUbyECgI9Gy5U+5x/QBnkV2gvoyp2ywo1xlKjCZMkgF2diFsbbJOWmpxptjjZJ63Fa01iBPk6ORncLpATk4SLv1d8MtTTwGaQyfjZjf6PHSrr9Uoq2KHtvTkUPHCQ51SFZsDWzxlYJaFbIsegLtPQx77drTbHpTz3koKtIPCVp9LgzSk6lhWZstyPZvbzgzLzQZTb1HVRLUQ1kKfvmyjq/qoT+yi3Dn9H93GWPc/i+5tZmIwsMOo0/aT9HqtdrVagjPKPjr+emgPxrwd53sDknAo2hVtbr13nvD+DTD2A+xGibAB5Old27sBenVKNNM8i7tCYz53enQMcCl/mtD8MFsk0dJUHtsYmbjRz9TdOFDgb+BHzUzF9Zf+dRh7LC1p9Osalu+8OKTZwmxssZOAWsp7YhVqe0h9xszSFgPyZCjzRMxPH5bv+emYcbMwHvi4SXJ7aT569/G+zVdFgKeF+XDma+98MWwd/ZF/BH/QY5CAGUDyxuN+fd/CYLKZpfLwLVSe5np7B/NFaiz325gedNgItVivMc+FRScwQghMYzb6McgV6xpgPXDWDH1ngfgQZrX31SfjVO2Rm1uLRbLHvZlgMBbtW2KaDOf73Q2e9dHl7xF44+N9R5B8zBjwNwjDqaO8hFpgZQZK4U2NlA3oDUFC4Ix23bsGQADHzV2zwozxYBGHSKDM+fRuDBT9rpzJwNs974D/DNqcBu3SlcdfjKwyRNmeecES4JVVKK2Xh9m/lxoEF0XnFyajq5MrsltU6i/H9+ehfgMQtjXme0SQ68nEWgQVd4EpBLU9Au6diY8zeGxcOV7N06WJnLOS5PVPeA3b895MDvjpjrnxMlwEH7exMDY462XTa25Pw//NqwkCMeqZ0U21NmvLt58zR1lA3CO9Zj4EtcgjYtGhtntFNOY6O0HB4eBt4vVzVhjW+Nm+wZmo7VoLqjmwBRLc1slYLntyu10Ot8ficdvE+HvWdy+cEtzZzHHy5mraL2JysuGxHNeV4k+OACL+xJSVZ1V9pPS2G5oNlBT5J7XeD24EDO1sROIfdyWj7SAPWC4j4N9dcr5oHXzMy0CQMHoojnOCrtE+gCyDstQ+YcvXSxyw85+nev7WQ+D8TJo0nQ7tM+UXO+mJpadxtyJjr3Fqyv6kzNLI9TYMp2y9a/3naLjhJ4hs5gD52yHnSaJlMzJIOkZM2sxE/di4WR7kuXrSXzfkpBPk4RIWf978mivUWcrX3u7aAGDpl1yb200+dhZdfKhlw2qvmU/3n4X1S4/eE74NSAW7B317LnkAcko8LcSZQPEmDJnc8H6feeqYU/sYRlwpy7LBvI6w7g+D4vJAINEhBKtOz1VX69ryIydxzI1PW9zswtNhBT67mHz7/IAXIow7Jm6T2jnw9aoKFyppsSk6h5K7irwozilLMF+EgCMoJgWHcO+I/qIOlB19nKeG9E5JI951seQZwN2es+ZU8Fv6Rabc5UacDyuQHeDBzRUeGkOUMjxPyTrXIv4EuVgyQl6GTRlwuL7B+ImQU0IuS5z0cJP585yZPp7KoK3IGGBI6cVIf1r+b2BvsTdCLaUP07wzEkFO8AzwEp/CUr/KQc/QRy2J0M81P07QM+x65GoVUJ4ldBC3pYgTYmM+SVHyLwb70UsZIr6Oqypm1KCu68dMp5RKAzk3s12JSOe5s5oHWi5VsiRdSq3ridCLybF3PHdtbycbC50SFxXqArDTHK7QQzYeYESD/9mr+Ai+3qSFW0vwCetT3om1fdslWHU9hEKK5W+YWFt5cxKFAX8RP6txGh9ghStgiXnwy4mfEpOQUSdvj2+xwQDzAhVOLxMH36DU/MWeZBdOijWv859YjpOU4O8J1f3+tq7s3F6H/8ekUI+9EIJOuOXWvAPjW0dkVLpxnmXkIOVfBc/qtxajzVNVZTyPt/d6dqAV5KSdg+mEVS0MJXCfyKrL4j2N98PdBqqZVzc6/76eZW65OCuRLk9cHWBDDgW/SprQRs99A7ic4veNybc8uotpY+d3nZMMBqrt+aSIv8Px4mgd8uFW9NnzshOnnVmR8Ato9mdgasMz9xPzyuKeSMNk+d7AEa4gZxv4P1qETILcbweDLnsf3myfj0rUTjCL63pP3p0VDO8JkuJEQ2DbLfuS01YGrJ/jxaC9hXD3PDCNi9Vo7XAt8C9pLejTtR7pAR8rQLGqAUhV+C/o1o3zvAS+6NJT3gS8YHOqQO6MlOfqQuqZgTgs6wB4jnMLf4mMfh30wTxWVKOvkjAgk6ZBs2oQYt1O4Ab8vzAPnXJVY2LB7k2icf5grW2wN+2IHWDIE/oTxW+6Yo70Rf7iVv72ogEx4kgn00pFp69fjnpXOsLMBU0cbAf4KjFXq4n46i+/TOEa5K42fryF25hkvpZM96gNzQJ33WyYEPk6nF3Un6796M/SJQdlf5PABfTaULK+N4o+qNc/2fd4S5A9TAx3OqQ8i7pvtPXkqIEcj9gojtjRfo3oDWAIxdMv3vLgI18xUdMrexicXzeuVTY+vveuCVWrXGAn7uedtALtYVm5Gy0he3qcyorXzYXyu0fzauvjSUjzTWVzb617SfEj6qQAXkpxwSO1v9GNv4i0QI+OHWTrn65oA/avAOB2v5ol37VkU6lrapJ7g9miBzxP88CSXw88TU75pZ95Dz/ErMkZmNBXG05PzXJ2PXiHbNzZwVG33INXPOZrrbiLy6I0DlsMTw1JltvIcSSb/msh4vFrWRY1AcNNLLQ/JpfFeAwwHnQ2YWtQsbyZZoikmUbLDzufCBDIKrHPRd9FvD1n8C5v4DLuxHKeRw4IFfJZPl0fXvbPduZ2zuUoGAbxg/4MfCo7/auY5axM84fqNIr0eH786RdRXj55XHSX7WpVcN2ZpT9JZTGZ9Hn+PBy0TEGTFe/s5mNT1qwMMq4KCzuY8WAu3zyIM1+e0hv5aguV6aCPPpBjG3PzrG9zmZst72hbBBq8I+Hf/dzdlYHeFnsyZfoL1L+LfHyvSnGW/Z/r/5Ref40zu6E/AbPxNCflNLvQmI/aMlnVq/ZhTOOxWRmNkIeJRa8gCFRwvvq2i+Qb57mllI56/tRxqhUx6jno/mvPd9kZENmNz8nqmrcG6zTpUZB140oIgU/jXreAAZN1dB6FRffx53iRhNvS7/ZqDDTX8d4+Umfc76YMHzEsZbfosZcD5OQROIeYSYkTQwfbE4NR5n+ZouGLa01Nzljv009bd0TCAXqwj2bcsK9MJlKuh+kwsSQXy6vAiXzE3eAJdg9/AjxHTHO7+UoHMAryKIEeDguK25/8HD+diEzRMj3yejJrC3v86CbCgiZoaYLMVWQJzyhvvW33sBnpBe7RqX+NTCHweLvOUrcEHmadJlGzrYngraqdbtvbKxn3KUiigpWe8xc7ZPR7zUXBv8uIG2jhjwJjo8HNAuCwOMNd6xr/sv3qn9KZ484EUB7HO/cvQVvv8AeTE9B9xtBvQBmmUBDAGWDjquUCQNkwI+W5IW/uEcJm1WoD3sM8yd3i6L9AH69WLmNGHUotrWr7uAnAsFXGhKFSrdo5XsMsYvecE5MXN/hhTyIM4kkuG5mE4yni502JLUnuzUxXvIjyfI6W+C+hszzxcSXVZ2vpcN74uZg9OIBfSc/vOspsCrq+LfXbr4DnFup45lNcPW5oyvqtCx8VKpLenXwC0biDXqTmsTLjZ2LFO/+1Wh1D2H7TfVelZO+zCzhNJQUsa5lXX+AfLn6z5FAm8NBNIfkO+/zOcuv2aehi2pQoO9+lhzNRqNlJkZhgiDfsJ5GkB+df2pcfFbtfpv8J1+8g6fzgOeKm3Ocrn1//h7zPRfjvo5CWmXg/fADnCM4d0BDExq1AYVKLTKmtZTkPgy6hdmsWdF+VsN5LPWOGZdm4OWYaSYcG5mdzMMmHF5mDspPGiLs/kCz+1ZB/g1j+PNzDA52O2lFO8e/prxr/ePsGc64Gfd2xtR4JI5yNzlhPUqOcTbF7fbHjCxl5HxbyvX3Pi32cCF4uYq++lWhckuNfP3Bn1tTBfAS8MOj9+efRxP3OjRyiEPCnyRMjICfmTn4dPCX4ZHJuPR0iloE2B1JpJQdLCbR73btmfRBvnQBpmYw4xtA2VhwEzkUuQnqVB/dV95bM7NPtd0bSXksx0ddVkPW6tae+NPDlpicWShqBSfVxlIO/+ac9An14PDQRVuP5Q7hcyak6NFMsjdfdMh4NioAs55aJiqgDe8zpaJ7CCHUt6WY2KDPvRlLG8Ze3dTkQx1ZzS3H/Hduwdc81I6M2iB0k1XRfOQX5oCgHaUJ+A995r+8xgyZ//vy7mfN2fRP3BvepLw6365yATkh1U/QZetTYA2jBkOwkfRa59yPxaRRtLWg+q3QyX4eHDY84TKp+E0xE6kYIgTsUAuQyFnkgEO3KvQYF5yVObM31UvfihrAB8ZbY3v5YLd/ZNGoceL9Hn8dVZJTH+QVCHgcWRfqPtvrXTbAt7tGawlcJyEdMku7/kdR5cFsvshDwjhzt747X+dw41d//nP39Z04F5mTxz0Zd7E4QY4uGPm6mRO6BjvAHM3lAsbEDv5yIE3n3fbm3KIIAOfIU+BLvXLzAb+DuHb9MTHhZYl9zPmhs9TcTFn0q81fEiW3Vk0fQEWYtBKVzyUT4JQeXTaPHNTp+zbJHeSk/G6ZswC7XzxyMgH6ngdpT4TQQM4yu7nAEVU+ytkm14V/JaGWyfl/onQ5HWOvcLafROenM5f84b81qMRJHtU0e6fh8MQdI12RAjZiPHvo5kT9Hy/loV00k71sOfLFDDht2bTma7UasO6/7werXZOh8RKrfl6/np/YQoWIzD3DmIqnL6A+cYn41uj+8fxuc0qx+R0L1TafzZF+P8zd2dT33Y7rJD7RLk5hcZrEm2AD1V5v7wBz7krEd6znl8zAXip/a8/bjNow2s6xom5g/C54B95uN2bO/8TA42MWlD22y4vmFc6j6tkwEny24Y6c55qf4L81p8gdvK+ddmAU+ALz9xRB1Cob4SisRToxeePxCZ5jRKaj9Nk5pGbe2VSqEeu+SanBKiBLnDhz3LYPGXMv4Dneopz79wlHP5y5Cv+Ev0CGg4/KwuLyvhiQ7yS3o7TUZ0om1/cxiecR7XDAbm3P1ybeZrTTlAVHVYGIpzTTNh2vptT3OEws5TxbbYr0PqlMN74aMldHzHgSqw3mhdB+CyMdQrlLLTKHp1A972w8lJZgOeFv0kHiCfjKzcsXRMtiwrtb1OHgjvjTRE6qgeeyhLjGxMTR3pNKNOytyXwGNCSdplpciTO8gX8eGZ9cjghrVk/Acf549h2Q9WlitpnpaeOaH7g8HSw8XTgU5z2ySIgPzHQSDKUuorRg7AlP0WaSMeOgZfbtF9s2HMFBr3dhI8Ni1SYuf+WdLhZIuAFPK8XF32A9uzrAYmySPp8xKda3B7E0dZZ2DHh+tk4FwdTfMRioU23vyvQ0pVLrhU1/STEw5bnNn3yVnE5sjVZSqaeGW8eakRXHCtBwj+f26mkfgg5PpRfwHMckmM2LWRN7ipUH9hmEA/KSUMtaMy81ELdqQgfeFA256ZfZZqB/3yXPd7kznYyfaVHpzczbY+A/yc1JDSlf3WVe3O/n0ayT0ETwfNxajaxkqOfHHhTDhq4sfAT/jyZujfIV8dqaO1zDGo0nHkecQfy3WL4qalbKZ2JEOe2KNY+AXNt02d/hj3/yhsywGs6JgVAOz4VbS9F8sGdJKPh9C2AS1cRs2QheWPOAh1yI9G7UzKdnyPjPWIDl8QQw/pAXNI1wCEyR5v5H8vBld/YAV3Uz695o4v8utlNaH9Riky9Yl7Z2iWh/vjtJXP7VXTYnAhCHiyvanhsGltRgCa7dNAMzzNn/baUrgT9TA5Zn5A80qE0f78mz6PLbWa9Zprc1ircmvuoEvIz6DD+rZi9lgNZcTRBXMyPA+QMiL231PbjU7S0cpjeVEwGU7t/tN6dc7j9YMH+2vSz38B+Aw1Kqp5tAAO/JTLzVD9fuCzp7n1T90qI/uY0kf1zonipou0MOAxSquXS0QFnCagFLjKamB7ja+l4GHRsCPqP8Xzrnfm0oa6vRXRZa5sc69Fn8jlXWT8/gOu+Yv564uQJvPZNhNqc5WpaTD3sgzGztsBjgc9xfCy1DoB/AlNsL+cQxTn7fLICVNPgEdiTU9o1lrLIkcaXhcBzoo61llTlYoDdippXL+dSAoKXBTkYX0/gfkVV4ANwol3efdpKAIhCvjPzks9m1tgwe3XP37CNSM6WikaWdwpnIUW4MVyh2s3ZGRF8sLwdEKXgYOm3SuDX2dcmD8sN8AibDJnNeizTuMW5QMW54JcqRF+iMPV7DaAJAb3bmnmXXyLfGvxi544Dj/dXPJj5MrKohTrxlRcn8dhU1HextVlkl7z69cqU7+2TseCN+CCBXx4teK5f70/gbyvu5BejrfHs0bVLbE7xvQ4V8I+Ewb6nEDtuLZYPqX2fOr/zYU9N9HvPloKW+hYx5DuHv/q/KoOpVbSAbvOOp2jrNUF7I2J7JXF2r2Izl4x0dYxJ3iPTt13iEBjqCLuA+/gI3A04MZMCxdWw9ejKQROkTzNzi6LPlf723fz1FA9SQ2qJ/1mnWMtT/g54ujH3NDYVSuLd/Fav/4DnpMBL2p9mNP7o8LqR9512SSED5kFclQdQdoDjgTkThzwRkgA4wdAiWL9nw+bXPMRZWv0CsfxM+9sdNMhIrJnySD0V3du50NejmZkZ2kMVGJ/O7E61HI42LoBPlDn6tzQm73SIgV75qHv5cUIXl4X4qxZkKi19w2P5yr1ZuqIPrkmeIlIQpO7n4nMVCAkSmDtJ/5ALzxYx+Uqfxo8BjbmzxMDznioiDxVrmxe9LULggrC+tMAp4DLgge5FiB7mzBtw58Xnv+XKj7XOnpxtn6A3S6L9gHToh1il4cqh6DT8OzlIRmzMQc8Bp1GOFNmK8cHZ7mCvQ2C1G8A32C9obCg50B4yqDWPZqYScI+X/vouub6C/sUynCLKINd3xOeRHAXH10rjqRHbHcA5/LldzL4/Cf6d93qf619/2LheUSzXpD2PnOZisdnYPGjcUuAGKWXyowkvL020q8fkDZ7feh6WKO0X79zbl2olK3Der5L/s1KI37JrQWNxVIfAe0KEUuAJwDt2ROi1Ag6eR80G4jhiPXmcuRQ06q3abg8ZVz9NJONX3lAOJA7QvPmQPA4WDzNHxSzaJqzgX8rWE2EogTxU8hCX3FoAn3WXx5OA1xKETQcxmL45TbOizUqLCBpCptGf18actUWSyXD70g6MaH2timbJ++1CxqnHz22EA2RxQfZGk6hYJXVQepIS29Sip0VvPNPLJoA8ESOLjUiDpoL1n+x6TGHHk7CKYB0ZcU2/F4n/7kZZGrQZ1i28Ek9Bp2tlT4J/QXxG6kqjBLSlLtPIqwhqwxMDbhin9zPnX5lFcl7858UM8s30nSyiAC5PgYO4oEULWLHAP+X086/eRjoXM8H0CnjwgByVHm1yV8PnmnfJCHk8Ohv/JLe1qu63HrvPgSuksUzV4GXYajewnj+EYb90PjfNgPc0NLMXf2c5eiwq13S3fXFscbQaU9cSimhhlIMOHOQRsy2pXPmVwj7JUbnCPh0rB6WlmCS15Q/kPV3Dnq4H3Zn5poxzUBNtQFaSNp36hjwGjAA0YWg9SMz+zqNO4aeNO1Clw+OeunxfOswWIvPOYRs1BYmAPz5TV4blau5dEy/lLam7fpEQc7XLD6nxwdgBz+z4A/Tw9RR5V4J6D3TOoqzJy3e3lyZ6lvriAafeHWzMcER2mcWP0pYkL/wgG2B1++Uq7dTJOz2LaL6cqbwxMfuVy3us+ViNCHR/InJeLrUI17NQI/Dt/GhNLQMsOrivnv2bxfvHAvmTsn4BRCHwO+lkD7rUBt1rtysLQaPREmKQ+6xINsc1dav+ZupZo9TaL0RLzGjiA0c0deeLHJYbDfWcDY1HR/YgbvLSDm2ukyfvt/Ce6skFsmSMfhqxcWnAvZTxn3NM+pSiAbSymXE3wM8/z1zxc6cz0fnP86gdPE6PbDQ+iDe7stVO9uWmYebOfMkpV68e8MCceZ17Ys7bHg2sIh14X3bwTS0cgZ7kWb8kDVPJ0cIB7MWPejdPCk0Mx/xNDfZbZXks0whyHGhN1z8BLys5xCmz0vVofW6M18rrbFkKaWq1LoAPsJ/a3dGBPeTIMGePRehkPlqAO6Bbq3V/l85vv/JBMm3Jr22fmrm1kem9bt2DezF8IKNFUhzcT9jX5MCdzbNCf/ew+mApw1tT0DQPhuROGG5qt8ZDtzxYW1n1CvKCipTxIgeecHTbjYqsO8Qc5NDN5tx9LjwiGRvI8NtnuCJsem4UL818vofc/Q8rQdNn5gxODaYnEudm/lATINlYcjzY+ve8EXIyxOT7A9ajU9r0rJauos0dx6a2EXRavzzqvnEa4Fy5ICgfm8WcR6RU7c2Z/KtW39RewOefKuCzVbB3M/j9tNt+UHExNQKjWvUq8velAe2shPz1XuGQc+WwlaWFL6ByncyeHDVgp+q48aT/gHgcSxtyJufAZ/rXOfbNzKg7Dwob3lRbJAZM6SA36MrcJbvkCbkOpRa/mrmVgE02xPdAOWhWnXrAvXbN6M+1i2zTj5Vy7NViy6mpVaMIYlw+U/byc5jTlGm7DlBXub/awqojo2+S6mzwspdcAn9iDl5pz9sm3HqVm9B6wDOs+AcvPl1i5hQOliNXfw/8cgbsuxpfYtBZh7NIrmR3e5333rjQBddJd3DkW+7yCfBvB7ySpxyYf9+K0syFFOoAWFBlrhbliN5yyNekB8w0M8Jhf+Zre83ExEtGRFNkC/CElAStJcZ/iwiTl14+cTcBXuaPRJi5b/qUMRu4PwL9r2c8INA53qHpOcndlitnsjKeXoG9f2OmxpR/PnKEgnSwLEa1UOF8IlxRM8OGrMB7LObl/M9L50IjiNthu8P9+wb4JckgAgBngazvnayHGF+1lw8kOlN1h6i+Vg4OYM8mjbPNgbOb+cxxxsoHGyAvGh+pSILeWyTjyMyIR/DMXn1SvGaeINFUAceba6Qq4OYr8JRD6diawXvyyJsxla0Y7KoWLW+EN1LLcvKVXSVgmizwo0Z8YR3uiJ2aOq5L7bY2ZW3E9acN++VV9/U4ie2RD/qR6fYEui5lbrlRo9qkgFcymmTNblfsqknZ6H50px/IFcH/30EBviucj+ladn4F3z3MR/0QSO4Fmj5qVD5lIHUT//ur7z0F2FcW8mXsE9y1HxnjYz7ytuw4oyteuQWfww03jVALE3ohvwZ7RGKICWU8Pb/MrObGgdi64lgGoJ8cyEVvacevKdt+C9Aer3M2HspdY8tL5fAZuFtwFqmpOZpxmKRY/4NVyax63G/gOW1O7LKyVZdn0d+V3nsUeAOPEhf2CUujx5MH2DH9qZnmsbJB55n5qv+brZOegvZUx/3Ken4HHRfK8GGdC8gt8cVTX+8u5NMn5F5PduhQDrI7rqFLNDOzX6gMuXu0lAAeCZiGde1wiwTJIS3UE/TnBvTSHvbDq68NPrWCLDDtJMfwXXobsucVctREnlud2c0qi+xKR7IHDg9Zk39g3iaVc/MIT4g5E1KjsXS/mL4jzRDkYaFp3Wm/7iF2w3Q9gTZ6cYB6aO1s/QTdRZ5sSGxqfChG7oC23mGKELNb43E1gupcqKnJNf01+VyegAg13aeDqf7KY3ICDmkBJhMaaDOTZuJOWzRaa9rPf3PouKkEF+pZI5N3/jnZ2kZ4lSfp/M6EQLyTJQmTQ25hTCP1XTmT8Tz8wWy2mSZxXaQO1xPj1haX1nY4hWbuiHrL/5vzHmfD9uX5CftN7fPd3LJR9oC3Yxp6UxNtD/WKW9a197zHpBz4TsUykWYGKWherCdOwjY8B+RKqfoAHAadaGqF927dJQjeo2Ua22pMrFMok9caMmf7dVgxLZ22U0EL+ju0TA30wVWHyp2qgzM9sIbPE02X1E2Nr/ogI+5w4FF1nHrS8b5U1AB2SpvyBDDh3SWF7oDfGz/zQKCkf2k9ZS2k7EHLAUayzl/y3bvTBKkHufCDheob9nlxhuVvNHDScXrj0X8zdiv7H6xlmxHgOilkPhFgiDNZ5mI2d9lTVpg5SMAbxz8fmI8cdA78G614C+rReHdI4NXI3OOU8Mx6DO+fIslJ0T8rRiSsUZRH6sEYCc7hstYDeWZFdj9aujB9WIoT+BxJIUZivFOy0v3zMp1PTHfUya5yRQ4bS0/0gJdh66oeI2pNKI22wCx0Vnew15/wfF1gptFMyhH449rG5UiMR7VT2/JILbSWXO1OLLFBi15EZNk1n16cLc04XgBPH8zVZrZnLgD1a3f/zIwHmJgOKej4RsxVbskq0+EDeGZcCVsyhh8Qz0UKeRz0oFaC26WlMjLI2MyzF4XpcWW2CrfL3/Nidpo5xuPVNmeOJrdQNijU9JdNFaAgj7ZYOuGj0epYMpxK67JpOh/2TmvmSy5l0T8wx3cC2q6xtj+5i5aS6TjX+JJb3s70Rv7dE8U+aGnvBHiwNBwZD76i6e08d1qZFv8cFk2BYHNbw2eqHfgkSJcY+fcqSCQTqk0j0y/VbChKZDa2bkpxewJdmlubp3q+u0fQ8q+7ANjHS2pZbva1nbmDvhtO7Mz2jVfFt+pkUrIG+LA30NhM8vPM6WuEhd3VgGegcaUIp0m65MfcZdchcBFnuXFb0TOsamn8eVf8wmWXMnxs+s9N2qUPMpj78KkErvTV9LqC3X2AHHBnnTpSu71WsbqcC39OLXuXrgQdLD0JsbHlYCdNaO9ZgOJmN3fUxSXk1PCM/MzUo/7/e8VnPYEamk7noLEwW3hjallDkqTMk9zUYBYKE1PzBu8Huqg6rrDm3MyKSCbiaPisC1WDPuZUrlQsR2KpBPbYh+kRZyyBz9m+fNp3TSjR0ZUl75Q5v0W1jY2PxdeZQtzn8wYj+YaL6XLuTN0FGkQQesBLzbyYVQ7esRHGI3E+5OE8g04HXvffPdK54PmZtWEVvGa23n7nK9djm0kXmGfXP6T2YR98gq4CJj3cNmWn73KcrlnBL+doW2KRRMfn/FaNlwfw0PL4fAf2mCzE1i2JfXOOc+LM+M/zig3znq3s1W8+86Lc4NDL4DuVp8IfAM32aRg6Imy/pei91HlcT/zftbISwK05MD3GpfBW0J0RaNQN7dTjFPhuFW3NHJlVAuct+WT6hX6asD3COr60g11ZE+glBBycP0nnQ2CoGPbRAfb44RQ1G+BwYT3qUFkYxCdwtF56iidM2kkJP/OjBKgYljqHVXoQNyDTiXe0bguHPcmtxFXDnxd3jJm+wh7jVbTcWQBgwZOJ6Sk5OjM3XsCEkzcslqABQUAGfAUO5MhCx9S6POtAXSvbzAomMysIbmz8phwyVJGiWd88IHfu4H1fawhaiaeVkGbewAG4koN7BFoRMDWejLP+XUTYzHhltc1z2Gc7M42pGfgH07/1OCs2/KHwLT5OaeXYLjyDWYHOrEP7JkXr1Fy/ag9uqYa8EHnfTQg8LOKZKJAN+tc7gw4isM8AI/fMmq284ENu+sIGfOJIxbXrH3JNImx6kEaZSjGXJbB8CToFOMkR8nyh9OdGib952d9Ha/Gzotkoyw4zHl6brjT3LV8qzJ74TyMmHznjoM1Aw3QkA330QwRb8n7m5jxSRsqlFpmBr23Kr3eLjAreUw5cy596lC9N9MEo6WGfw//ijdSADd0/F7TwlEelVeVzddq9uyXVbfOcqfzP19sz/bunApfp2gCv2/6cgs/N0QXuCHmidNj9aF/MLw8/362Mvfr1bhuI4R/QlVE1WG5tfPGt9iFd38xjHSlNfDOPKO+TJH/eVsGYnYePe2WZWo32YTgCFrqqOTDe/uFmXfhUq9Tp8HAryC+V6T1z/7x0mDS+UcYXsNibmZW0jpFtZnETx8xk8TrC20lEy8ycG3BU5OSI88zRlHI/rc0ZQIjmCnHgWZA/zRwwpL9+66vgmVT2lPLg73z+h8fTB7a2buMmRtfhrNCb/2Pq3LYb1Zl2fUtsTEb7sAkIjI0IQhvQGSCPEBCY2MTGXP0qZX7ufx1kjJ6ZScym9NbzalNVafC/VC14q67AQnc8smc9pQ5wwh3iYqCDTtI4hTEkqclZrWOTOsIp5IUf2ndbbXePnKOYxf5WlX7ymmfLbUkFRQH4ybyC90EGjphYZsaWazHauIL4FRNapU58yGNLzZNL7pJTqk0v+k42JaKyDDfiqg3uh9YxiHbsL2TsiAiBP8P1xfNDG2OXhEBhI6RTePvVICXo50c9ttu57IrcHBcTpg4PxNyGI9OjF/7O0HC0mV5Huak/Fptd16Ym7nIBndkBAxwq42vYfOIl+d/e1NudlUmZl0n/u5/GnYfKWQPIXycxqIdi3VfRgycHP8X4bPq9pb81QC11o473hq3dFbT6B/jFq1w/qsoECa4vppaGNL3SRGc1FL/mKneNrU0PoTl1kotZMxUBuotxn2K2nxXEEh9xB7z5ED25S568Ye0/aaytYpS5LBNCNzlBpl5+66NM8mR6N1bwGDGoTi5IrkbvtScQQX48FsNvXSfCBjU0Fjm2dlKnm2+177dHEwJDhQevjvhP4yAPW+sdO+C54wswnv+RWjyGobBLLZkXsS8ap8v5mBAm9nnu+gcSkOA1Z05dec1QwiFuo1yjC2gvy4f5zijkF7HuivAP5MZ5xWHHm1FbmPo35khTC2pUQbKcbHNOzj9g8NstRV+gdUcRHFyq5wcLZ4+L5bVXP6qRBn+/N3vCKu6acw3zQ/GLB9qRgRdYz2LOYVwkZ+336W9PE2LOH3+YmtZn4Ci4t6BmScmAp5V47MDb5a2V3mlADqctsSTnr/6VNowZK+NJRbfwmsWSHp3f/S1VK3YOFhK8b3WHfPLDbbJk0XrKaXfB4Leykuszko7JZUXg+42VwEvgRxzisg6xz4ol5MNcFsx+7Z2LgP8uWWQfzrpy2omYvstffNJP0ycZ8/Z+HvbiaNnfckIWed8D09s+aCjoyp8HaMuDWbg6U4i/sltTl62tqDxi+vCWc2bKUBHuv2L+0Ua8a+z5pCwzPznfRAmxbrd35iB4L39W+Gyj5eJ3v4U5j81VXCN/gO9L7CZ2XaZPYnI+B10Edja91mVIHhnkDDWBswdKe82Lmr6ZYuBTI25eTSG3xzirRHKvI0C/AXnKJaD//jsJOr+wEqRMzz+udyJWkYrwB8RnVAPE5a7upK6uTahtPspCjg/wCAOw978+WW8swkMh0IkI73YG3kpH+wG8iHGPq9rycrO2BXp5YaN0RIzTk+NN0m13wLfc1DyTBgMhl5Dw081NLdVB903vH8HT4RxyWkrJa67yRCkBXeoWJtJVxuGdxdU9C5EDuc5RMZlbm8/s/c/Wmr81XlzIP33DuZXFSU++9oCc3Mwr39oNnpyt4/MkD9wdrqBBhhecLErurzMjkB+eHHIxaKhpem/VTno/Ol1EEPgfSr7bwXJrm39jhMxztU7gac4RZpW19KB3PjF9NCc95Bb2awdfwUOtwAApZF8JnDICE7+0t8o3dUinRLTDvjr3BJP/+rFxAfcnLXlIn392WQQ8AH7w9Ftv5BM8JAlNP9CT/Xc19ehJaINveuxU/LmjVvIODDqA3/9SxV7j4N95WLOHa5NfC8l7ZaW9vDTs4hBzlBwhbmon0Q1AGHF45xbw32zOcOXy6499Hr0f4F/NqQQ/byPgwDvorOmZe2hMf86eObVD3qvtX17O2vH2SAVK2dalmTn/T7vlv7kvMAUbu2ZUx7m1zGkoSyESH3J7gYfkUVvcyu3uLWV6bSOyCPbw6O8a1M0WoKHcDa+EklCxfz1b05PbUWALW4KHM70G6gFzyXhUmAMDbuio33pal6cYVtxEOqzBE4AF+eBhggundUHvOuzgi+lZgcGvkujgUXNucvR6GAdvWbF/zQOc2ph/1M7g8BL5xTAjBh6Fa9AB09/c/lypM2cy0CEz9SzKxMYRKdtNRTW7ebnZdzTIIYM4OEedx7lPKyGz1PJI46Y2aCbNx9cemOWRTwS8kn3i4fzO2W6D600wkyeIvbmZcJFP6AL5MqoYuskoXEmfRMyZP+oNTW20t89MfagAeTCGv8AP0Hwy9cK6ExdyqimC/J3cXhoFuWsl1h+bu/q9Bi9Kx/0G3vKDIxlgtgPuQwdKuzeGCKP/7YGecV9dWwa6rrsnHomkoZfCT/OUdyIT8gTj8ptp3JFoNf3OXuuwMfjkXcXINdfdTOLPO8RdUkfVVQSQUyf43ShB57DzRGgjEQ53htCVTZc7DlF22tJnNf1diy3dMoZ24Bsc0LOtFgvk9vZeRLM0698vtmHc7LleZuDdDT7jDuPPzKXsUp4cTcUrVXYZiecRciFtHR20zh7iubKkzU9FqXqikwy7SpNS3ivL9ptprs6oy+T7/kNFN7fu/VdsXFv7c1Oagb523tHyxjTcrb97Xt+XAluJp8AjywnIbuRj6kI+KMN7y/0HaJUAHw3+uXriXkep8HQRdZKjeUsH/i4QecuiOTBnvv5vjQNVFe9sZmr/hfM1DT6vZ8FDCT6/2ULQJWIBqzvt+77PTJ3BYV3rkCe1TjD48ohN3dg4/Ccf1USHPT9aOYzh+UcF2IHfgzwu/9UiaEe1y0LLboYQnjGOsCY/HP5mKvBHM1Rm7dnj098rFWSHh8XUmKrbAbEiZm5LJS3Am4lAW6auFo3arR27jzrO71ysHrzziJXda06P8MHM43BKrM4q+nRHTc1fziwahM8mVB4P25WaOlmxbxdUppC73nPRgRflq5ml4D183+n8dEve5bi3600++LCczhPe0dFw6fqaB3jgTQ+gGjGH3GNqwDbCq3NTE8TFXROrGvLzNbXQpY3YTun0Cp74AvHuEqrDrDyYnlAnzNWJRByncQde7bIVBtNNv2rg8Cbav+bnHzLEENf2Nx+q1dReScfckeHcAfd70sTo1/5bOXtOozkxfWa447FiNOvfEjwAe9JwPxCkOjLNmalXREZ7lb36LibSFS7/qKbh5ZdNb7qpNn2DBURxj8I6MHVDPj3IF3fVJ+DdhufR/XTrAKMCclbN/1rc1Dqg/tRwKeAZlsSWUSOwzTip6vEC0cFHZmpSTfgLfM9rPuoIwWRJ9+8D8pNbTBc7DRR478eTRqhuKXjbcberA986R7apQbPkmz42A/IZYxu1iekaGxQO53WQ3n9z45Q82mC44q+b6d3rmJqvr3lsFvzWzx5aJ0nOA3gAx4P345l+bGZOdWtEkhHTwx7yJOSD/izIIFC1/u77n/RbbXr9/a5NSoGLm1ljXEDPB6HV4Qz3eh75Ky/LapwPhZ4/KjtZ5AbG0kky0BvIFV7JhHbP7I9bDBc3teB9MTVl4R4YPcnEIM38FSYhcuHJmPWCjIzzHTzWsXDgd0abNNwHnfVf618hg7FSufNWB7zMIi8gGgH8yw8aro/GxlTG3Q8pQb9s/pY6C1UueJdSC/BodR0jM343DsmtCNAEfsL0pOSFsze9Hqd0XG7E0a81xEsTHLYMzfCM8QFiuQZvkRUl+AtmBynCpGbqUVhqEkPosN9zfTJjobqCUpq+yUszLA8VMzsLW6tAfnx0iH+G3CdhTDTDHDbuv1ofP9hitnTgXoBhGwd4kc3HdiNUhtWVQU4kbhcWXKGWqwTY9MpM31vqx/XQ3cxcFun1I0WmX+XBzX/rV6N3TPWGUWf2bf1U1r+znCg167ARMfut0mIAjx16VxEpH9R2oKX6ZgHwZvFnJ8MVuND0LONB02OHxD4+Obu7iIloe+WqiX80loqVMF/7SAl7Ao/PJPJfXm+uEf5qXMTYNH8oB4NHMLtPVdZM5EtpbCq2fzSTXwKruFQgWrP9saDJA4yhS0P5aGLT81YByyZDzoChbB6cSxRkMGIF8pfsXw/rm1NZ63CyMQb/YdNxhRHC1xyYphUqbzceAdcWoKtOIeaQlRJ+bndV/XBPnfBJxiRrrcU1dcsq3UXY7Av++rOaup249AHO5Bc8r9feb4ajFPJ513P014KcvbZstXN7sM1ZIbn9tcDDOk2MvgUyfXv4DTvtE57rximKuMvB9x1W6VbOcWttCnECY9fUEvoCnbVT8DDVoF88f1VjMjKXAeOChlhwE5sKlYueLLIhD/OwEvxIij+riiD+iuUbO3IWxb5OQ69oB69QoMu5HiAnJBwYK88CZeoX/a9u+8xx8eeVl6PclRkJ148GzZd6QHazdcZXSWA90GPp8J7/YPrpyIAfCsor+vxzlaJ1KmD/c8gvIvDNma0BtB28rCRGs1I+p2Tq3Mxsy3faf738wG98y2J/geT9AZz9JUD/zHkguF634PJI7dkiDuQAx7qeNvXFt8E9Bx14H+ScrP2xCT2Ia7hinrydI/l1HndPNQzXRpOl6U2dXn15rbUpPXdtZJtzzn2ufQZ/8350ze92TzFBjAcqLEL13kDeSOPDXW2dy7/2Rxzwr2JI3nBAfiRXTxH7bzmM/yzG3hlerql1z1EycND911hunNlVvfJVjG6gcyPwgcAhsJ+FvrMw3JSlnCJang3becoKVxx0YeN8WsXmk5bZ77X1aclysArHXrDp+xbId/DqV8oWLV0ZK45fbBO0rjS1h2fiKgnv9uPozMBFSV6HxDo68ouIvZcOqmK6eyOhfmQiOYEX1EdnuB6tbubhnyuoZsTBXBJL+wVPDqYXWAWqn44Y8tDfV2ws6SRnOnAYj+CN4i5pxO4qJmTWb1zsLMGZyY6Pe8OMh8zstfxavs56TuE9hgSoUPD0AXpaAmcQTv9ujJEDQXPOh44endZijvfiqJ+WzQWfCGuAW1vTxyQi2cla4Jl+Otn7fjuDLkjq94WrwBf+ztNe4KpSFZDQ9Mk2/kEOO48EiJ1H+9aKvamLtjv3nS4GydrgVYNr8cS4vIkeQRx2q9DoRMPDhrfQPj73GNj1B/J5ji0TF+TKY1TWECNZ9FiL536iQhPTbxD435xX5cD2P4q34Nd9yAX7Q9v7Jxqtrz3S3+1m2IIQFskRPNEb8JLDHQTx1d7bSVZptL+LgT2JyyfwnU8m0Ext5mUCS77hN2DUS23O7vX53fTlVVYC+pysXOdb6iIOrPyax+5B/7/PPbOykp/wpmzglDrfZN2iDlxxMuIAL+eJIBhP76AT+sySjxw0HHLhTZWXJ3P1eHTwrum1c7L192nDsvn642Kxu2cBr06ufK2brydn7lLaugTG6Om5HyvIDzVK78qB/97IfJ4uEG/7rIWrBI2zsO3X8HVtwC/X4wA+nZtaYki87zER1T1n3Xi0bAm5J2ehl6WO99KNtRKVxUB3imh3lSPoSmn6bnm44N0x1zMqIm7nOn1QYW1n0S0Z5LNq7HzCP69i6PKTsy/gerbU6gIZwvsV6lnYvoNH29QuAghf/tVN5e48trZ2WKCKo/OAXEJqEUPuKZNRIR6fA5W25afR+rV1wLsh3ElKLjnwgjkbWI8JxC8pMj7fqr6jdLjBNROAbxKco/lauO3Lmxdkk0/B1KwmP5DRDnymtbUOqn7nWRmMHe4zHjKPRcB/Ey65PS9iXE3cbhC/FQfGIejvBh5cnn97kwxPOqWuoMl7zQmwsv2Kwx/qdJdUJEKwJQWGFylFJWjYoxXzmPefwP7tNTO1AxgO6li5J5dDrCaP3MJPs0e1dYjXMk3VJEXBIF5CGaYTvzeoK3Ju+lHi1xr9rWamNx6eaztcFUssaskDH1sHmC3AgzI9lxnpwZNNJGWcH8FXcw65sXBx1Yb2aHo+VMXybMP2SmJFyPti9gbyAslvuHdwpt3P61zAOUiWBvwPt/EF2/LSPPdO3vsT0xo8B6LK8bzC5gdukQsFD1JvHRc8qfg4a24huy5xjcGnnqcuIcwClpsHXCKtRvxBTW+1/6tHNLZxBzry1z7D9RTjauZ/y9zSp5zrZxHqW03RVzqsgxo6t7KAea38fnKrlQJ7N2z5OtpYUoQ4xM0B4nyFlwu8o8qjgy4FY64cX+uwi6PE8OAhR6megUO7kLtdCt7pR4Xpilm+qZ6/NQifWsf+APYVcjDz5wlc1+NJYgzxktRsTHwRLuVxI2MjugyH3VqY8z1RtWbRaw/M8rv/vXJ1z0UiaY/NGuRSR0aDLjZ4wEgAex4d29SU7JvB1KWWM7DQ0dQIAp6f6h59Q952IabeeeiB3viDoljzeLb59OnxaPeK+XsapLvjhlZSVpsaEVBdBwQggVt/+0Z/tfpiagMUvB+uac/dfEggK6yd6ZedM1xIdrAVA4iNU484SywnYmpO30HDVsL94TzYL52HXIS+ayE9atlfZOiGFJIiC0K4f/4jnZ2dWnJS45oXIwLfvHa5wF393Kepg3s+KV7z4W64Qg37QJT+zL7+bBLxZxP/9cCb4ny8vbQXm3M3aSRPahsc0PoqDfkV9PpOgZva5yJNnbB868BHoY3FaFTOJ9xnaJvegcBMMxuS5fj88+BUdYWlv0WgxlagC7AGVSUCJuteuVKoYXFSmz/OQ/Wsw4sNyhAAq9F83LmFuD2FTo68B2azDAcl1/NIjmeOaxi7h0qkTxmtdQ5+Onf+qwWtSqAqq1oVeHNq9sC4/F+fLNLzD8Hma+7qXe4sX1zcrhTxWzFUrkTzHTshEOkimA0cIvC9MTtXBPx/Ru5HW74dLY0qG8087kLDBZTLuYbfUWx14NnkpEev+Q1gFgyvCMkiTDxTX6rRB7MXHAFf4np87GqhcAusbM50Uk06yHC80TogFjzb3o8EJTnR7HoOZELc+VGEZCHDw2IWfld26IJmv+bZAm7pCGKjbobdCt7smTF5N30kwC0jAuzUcvSsqD6C93mvJw66rCSP4H3FpjeSz88R+De2R7ldOea+IV5sQUEPwQdTRmoK4+A1vwHvcaFW90zDJTU1DcBJ5eR9n1Nm7U6uuomvPzYNtSaWPNZOIs6gQDySfr2ZumKhqWr8XkR7h2zdsdrgTTMdmD0XJzPf7TyuLHzVQF6+TB2KOjrcsa7uWYQu52Cw62HJRZyw1vRIiQmtLX6jIf5uOHmCppn+lVFdclw5dpKW89IGwMOu3trnH0uCq5I9QWZ24cyJXf1fzN/I8Ovl3xR4IOD17eTOiL/vXWJ8QsB2GZIzfLkNxCTp/YGh1CFsf6r79qrEn4eIO9/Ut87FrAXVyKxvCITKxtQmoNpRxfJv7Qb03dTS/5bPm2fOR7fFbZdF6g4x7UhnWGHEDsDVXKDPKw/nI3icneKfwHX6p4G/VfUY2D3d8PsS1mN1rTa2wTv5AneKWruy6PCqZ250HqQmNj1ryXKOZ69w+EKElI2rs7MgB1ymjzNbzJ4/p+3lKR9RmrMExhJOcqe6U2GPbOCPYvwDGmXOGIF3KIHIen8Br7gT8b8zqgI8diiCcHeytEfFxS16IttIL9hWp5otp9zx/DbQqXJQCHeaVpt265HXR2ueasRPhTNs5xF866A7EmG/EGvArMOuDdHK+r9O5fzT+S/q4lFo31Hc/88Dhe0KGvoUgwfM4gnwQh8Qa3cMnEKdy0MysqWafAB/j2JMJLcVwQVoXaSvyrEptjp5Rt27Gta3NCSO6e/8P93wiDX/KLFGxNRwsQlVAarIlkS5zTsR2VvK5jcGsQcsOrUo3HFX6qpMgNeQAAY+tRMqiKmLGc4BBiZRkMeAXaZ2atfarNHF1cunFJkY1pam63nwHGCfb/68Wfm4xGrj32nZVWLEX+DDNRYS9ObzSUF/qHUDxqtM/y5Ko6Qu7C6Fsb9kYs6a9z1qLWRhZPYs2BR85yvmaROhtXEOa05VpsY/Vx5Ik3tMb8d3U5OtmHiIEV+4E1otlUkWdTf4zhcek3cccRhBOGBadRCbwLPhWpUwThgfYLwfWMzflfbfXntFUlMrGbTI9O5N2b4/WWRiXHdF1O1qRx6AiUzNcvpfD0mpgbQfEvngzC878H0Yx0lNNDBBiF0WaCLZAmzMnwJVOxhz6NyTF0dVasIfYhrMPohIufzOh9DUMzoeN4hPNp/aXr0B5zoMkdSc34GxcxE8NDU477lD3k19h3TSuprku+LsXodrWTHT/wDzgt2c2iWvfUQ/ReTBV+rI8M9OgveUU2qDf5qUmzowHgOIqR9las4GGHhP1Y3+tMHfOTQermzSH6a/Zaq1ud5na62mt0DKJ/Qu4X75Rh7AhP/Omikn0WwEMtTdkyNVV9YyimjxRan9NMQ3unUMmMLsQAGPjmnBVl2J0GGTlMD/LvDQtXL0LjXnXuLLRlH3Vlmeo6ydfZ4S0JhXz/HlBGMk4AH6KsKLI5Fhh8qjnCNWkpg9lyvmpq6WfahccsQWcJLj/WQBjEPBjyr848jJv9bo8wla8Y3tuU7FUsLPRxBbixD7gX3tX3MOx7Qn4O8XSJjzoDiRR2v3rHgyScv0zH2YqpvHNtYF1Z8r/PuUBcQBf+VB+ERmTyyJPJm68q4GEtU8deAZ3s68Nb5zqs0ZJMh4r3kbc7630TM52voqXZ8C++44y5+87DjkTVr1cgHGnsXALcrRUogE0XFJxch2rWWtZ+ofQdOuDMZvzqtnE+0sEalcAunnTgjX9G/uy5HMAr/gcdBsyamEmDLnPtDGe+lwWtky1KfC6NpGPs563k52/syEPjVoPjRRF7cOTltL3VOBnqamGcTFwN2D2Rci8DhXkDdec8tPaqEJqLtj5rop8BzkgKPdfRfAMvDe5hS1z2okNnCoDeNYm3W9OlQz+OnerJG2AYbPs11lrcezqRESLeB3CFOhtWbACE2JX/31FohDF3QQ1+E8Fvbnw9RHKmJ1ATY5tJM+NrY/0OnwIKN1xaPZI56Y+iprC6ntrH3Is7bpMcIwA7LmXJws5pFeY1pW9tE13v3fGsdwfO6X/+bcyVdj+naMC4Nn5oIePhTwi2JdkANuMKOH1lqZOuLg8600mt/AC33zPoHrkIkIqpWEHlEDMuetgOk+722028HYfXmigvJOnyOZA/OafXJ3FYUmr/6c2ZxkwQAsokfI12/NyMezJj/pIFeqNQaf8FG7KChsZPpjb3XEIZJ8XDveVz6ut2pcriqc+0b86xv4RUpEiFAHeLcPs6bNRw/8sN2DrmpltWZnPXhK/gb89ctZaTmAtvzdIGdV5mzH0VKXOv5061IfiZgPJP77qBkCdiffEP95s73WOG7Ag/uIlcDuFFf4fZ+JCeWgmffczBf1/JBF69Ju3QgMW9FI/vbxE6YXVAxjKEIH1qObMCdTaW4XZm+9zh9U+zncq9eE3aEZ//XlJMANH5Tn1tE1feD9nHLTmwL79QBMsH16wNlfpm/FeQTfH8pCimQho/ddb4TAOABuRCNoL/g3cBmbdFX59857JXPIZ5C/PchH/1fPfLBNvak38GoRNQtYFgmUo5LUSaxzpHQzoc74WqLBJA/2Fx/0g0YoyqJPj8baN3U4TfUnyHkpA6ap+782OAHwBxJiZn40ZfeKw77a5EUg3wFuksTM0fWdEOLzXjAUQM41JwNyFZlJ4vXIqGa5WGq6+TwdVwr+PMjYxWYOWZklM2phpy016PzwO2/AkV5r1//XQ41DFGTx7FKxF/kTnunglRD3JWbeyewZh/hamIMqZqtjxeB6hwUVrL2LXhvvW0Pu9dJhuVK2zvBuTF+oZ10O9nmYC/m1By5Wr9hYT9aqRdh95E4SnOxuSRlewet4guEy47zEaH6nglhk8Cw+rFnNuyMZeEYj0PZhSYgN3n/Yh3XJTK8Qbc5rs1ePFWBn0J/XusPKeULb8eI0jBwp8xh8hUcHcquLNuoCo8Q+E5C3ziIJzmOyq/UM7NM+gcuJ4uALRbhJW90qcJGtOd9coqWa5g/soJ9i6ny2qVeu1PAcbMn9yxHGZMqBHQZdiniewXNsle3rdhxWofnahHxu3YSmZesYpkwDTf+/OqteM5KKb+DtNRqL6NNuBD/UXP/WA37tP2x/+SU5NiE27HhPeborkP/BR5UAK/6AxkV1z5/gG5Ojs/CmWCLCNOQxpRnitJ0uz7Nod8B0Y7MB04Kug2Z8yymE8c29o/NaGzW1rdWN2gd4ViQ5up1Ts7UiXzfITZjmOnRaftk1PZqJRj9ZJLuzNnN6+crBT9JwD+/K7iEGLBUqw3o/4HOu5qxzJshbZurBTPJ1pvhHThzeldLgta4kSp+gc7xwOkHsw0NCvhKh/dOY+emRXcFzvBcbjIUhicBn13RCtKL+BCwEzPmw6KielZ16ubM+8pEPpw0nGDz+v33LIRpgfLwBtzjg+e8Nx6Qahmu+me4uoCo2uWHXz6thTlic3uvpcM0CBvl4eOJY98XXQpSZh0YqFFp/n0sJmV/VOCTrmSdOUSyv+r3gTbyjAoqpvpaVAcOfp/mn3roDnuaNBLpoKIY8DHozzmURAVNrP6AMu5BX3WLyE7n5ELs8LDjPi5FfWOkfGE/g/sEhhcmziPW/fjcsSFzmHnZViWgzVDs1fl4J+HMc7gXExUOWOsIbsmpbTeeB+5WL74yBL9zw4RwtiCLIElQ9YOxaacCn4yb7Yrjsclu5Fde4sf71XWKNxsfTBg7Q9oOj+7kBD+2arb1C/rZ/14v0X6+wfdSUJCXjPmsDRKjGHwy87tFFVYYSejRsoX1yntL16BLemuLSFmgfSFs9hK/7ytut3Zn64hW7WYb3gLMv8GWrniOJeNAOCa43THCPCfifuoL0SUv/SmlSnrkCr4jCRmDTa3RpxLIwa/Zx5H2DdoLvQ6yGnPa/9wVchOA6Dk5O/66M+quyPlcxrjOl+b1xOcrdvw/DuOxrecpiXzTDPk/Dy+PcJww+Q7blnDKqbsBPFu9517hEYGEP4C8y8CEdj9BrfRn47Peeq8qep1SD5xpkwkt05cUeCE+HOfUzyI8+5Jk4dQ4bBf8iNwJj4bHRIHQaxEvTR6LZpG7GT0sAqeFSfpj69UL/devgX2ysJNZR5YCnCHfg/fmRve9ZC/d/Hj/tlut7MR1c4HfX1FZoQCOKqLIpcEkTV//rW6e8VGMXO8SGfOdhri3Cugul/AO4zS0G/tpnnkCyCJqIQFz4x9Q2nhGD5hIK/nU9B/LQWPxUWQf4jLXmXD6b4OCeY1zSsHKb330la2VqzIJfr2obxiDHZg9SbtZEjuDl+cRee7F6apOE8IN9fC4x0XiVKMlzzQ/KWeBdhzZDf+00zldTI8Kco1LOHycHfYe/XRyty5pD7mlCmbJ47iHGIowQkcOet/pza/qDUwn+r19b87zdj5uyT+5gn7bOE197F/zPPXXYdu7bZ1bsgRuUlj3X0jCdkLUadw/szG+n5/JRCJybPZS1yZsB8Ezx506nHP6mfsLv/MDvvPzyoerbtdXt/Qz8CrqJ4as/f/15UMG2ypEJ7QeLbB0GX+unA4GoUG+NZZ+qAX+JiVzOUerWE+TIiEvQZnh/9q0JPh3G02s6an10yGvtZqh7cMEl5MMeHSFf9MLUHKCf3rmXFujN09QvYW5yq6z5IYGrefTHAc37UsEB7mEZmWDuOdIDjlBaWI+14vPUTpwCU360ZWdBvn17+RTq+oUMBscwSj6ou9m/C5YhUpOvZZg/TrasWyF/mPaHliYDcbyOlJKIaLiCLOQy0t/SgQDRaGuG332dD8j7c20nkoXmLKL9eoYVfu4/ag2e1+UHHvuoHuw3WmpXsdUugEVbPj+40PD5amrCvZsh3/Q1e9AJ8s+4nwmzGfDdnOs5Bb7bUqazwvJExpYnt8JV8Pl1juPBeqVPlvTl2O5as0fU4lccdhcmID87yQfwec0t74CHx3Ye5wsVmqlIgRbzHXi+S82TkLuaYTGj2u3iNPYlcCEGnxWCl/Gy+F8P0LSm1bON0dKGYBl558K4/KAWmdW4gi+Q1PR1IcP+WwWq4473OMMPyfK3X4nmru/xvrqeLOWzkFz5aPoIz7QJ4LtW927q0nLKX3Mpd8WTBzw7F8eqNudogKXfsFBvPPjr0TK/4kjvWpscUrP/11pdwewDBS+oLJ2pIHUJAw9H0aIY7iEHfGNn7ZS1LDTsZmX6r/9fTd21GsHTT6CJQQde13NMnbm2b93csZ4wvmllal6Gj+vJ2a0mB6Sjp5vy4p0Ddq1GeymAwcE5VgJ1K91k2QBj4NALsI39nOmaw7N8seiZdX5lJzta/t01ZWt6ZmRwLY/CAohw1gD8Xc4dOwWuCnNteootoh73kB/UBKJVml7OFVs+UnveWCDvXF/WZlwfzSSjOsD5OU5fazdLwZavJkQeH/B3qpPsDPolmeeqEA/Asdn5a/8F7AJ4n5h9KO8YDY98sDZ4j98ZrSzG5UczzrsCnk9mavv3rVNYnenljFoxDyrQr7WAFMO4YLY09aMOIgavgmRXj//bvwG+pOF+J4vbHcbGNefJDJw1ZMzGdUlu+eBRFXmmhvIl7VO7okmVjoS24rHS4fPeaE6V/a+OdFVvHLhIXhvHvrQWD+A6TA9kLuPPHZn8i5mTqafEpu7FPY+XB3F1VtnSMr0acSy1EpCtJinO0T4+boPHx8uVRRcXNOLUDuGzjcirFtxdambl7HLloDsSlD6D/Cf60INc/szKORe9pLVret4mIzF9TGJwb5bHZIhwZXkJ6LCbs9Rjgh+xZfqAeL4qFhv8elkglJt6va+cYs5Zk833M4Yt0auf1jK9VUlfRKqnsXwDNiuKOAnP4WFLe+2kul3P4/6Ex1mnMC7OAeSX0LDWwWZm7ocfPFV2iexVKm2cAde9xjLG/HCH7A6soXu1Je7J2v9UWhPw9Ijw0KLRYme8W2GcrilTYzV0H6IMTd28AvP2CTn9/Wh3My6xl3LFCHA0eMQOvP475KrSeOh/vMGWhCL8XYvQkj2xW1OroWdXMdqF8fnmrEVbYsFNn3CxlLmr6XnkX+eoQ41ZgB2SZx2SNIsIRKX1JBHvKZvf5UgmU7OHcPnS+WNlJXXNljeipZ87OlTg2uG55Blq19y63DMeOic7WWnPbSy6uLHWSzX5jhTqWru/dTqWfNiZ+tI98Ospo/IHmGBrAn8Fb/i7TvIaXzCugRfWuO0Rr835RbNOFPjAUH9dWc6Q//BHPZgcsnaVuDnMsb3CwTfpPCzO9NLGwLEb+Tpt+gh5GpneLKDDwzmEd0a1PjnyfzF/M/WX8yxaM/A1hyJUPNXdlj9Nvaz1u+DhZmq7S/AmDDiOjBwVCN9yC7zOyFNg4Q8qUI4j0yvDrH/BwEO8UlNqzkLaYjLrdekrNgqzns9iYN/nPswdMLvhegEWFKY3iem5mXFfqujPg4k9PJPBptFvT4Lfc+2gNQ8+zGbPwyK+lhH0nZpeapCX7RTyTcrWBxv0633h87Df2mHx0igJ8j516Ti/QyzvgDv+O0/DrCfwCrDA5xXY/o4teeMOf5MxZKjS1MLK16aUWo4MrpmvhM/mPHSWcd2lYQrx+q9vBfiSi0WtB4xbWZ1HG2Ozt40O8De79bh97qT715zDGU6uylQsnSxIvuvp4hYbB47aw2ckTrp9Xmtk4jh/ps8/bvW1z1uUb0cHRSn9V+9rYl9/PFDZAXRTq99+QXonys5w5FG6clQDcBfbM8Z0YuZWKdN3aRFzHsSpCvBv1j4FX1blbpKrGCVZrGYeqU7E5ryTH6WB/+/cKORHNx0g1w9d2MT6kYMOp8KG7y01H5Y03+Ctu/xNmP02PbazYrmIOPTqPnkTvTlLCD5GDxAr7FlY6UOafMm0TaL1XbHlUg3ray2AtM56kaDZdZSsvGdbGj12lZiJ2c9QDUtXQT6iI7KoTsr0awEtl1nD0Dvuu4uptXlyeZ0OXsUi7ycNP3fF9Pmk5qz6xgc24awV66teygpsmLLNt+Daq8KqzNryf96F4xn8lBQDMXuUbeBYS/2uUaoBjygXkHxkaNnc+QTN90usDw54eG56aGIkWVqCL4PMVTmPVx3OrSluDzHAPZn+OdMBrl+LBu4xtbzv2lFlrREwbzdSez4VrpzxYNaD9l/EzZ+gRWFGTT9mRM9xJ4CFfpTgVmsfrIKZvVe2LaJ/vWhNT7eORnjH6OCekRrMGSTT16xwwx2N5MB73/R+O5pzUcAtM3O4Ftw3NT/5OTS9pweI4+SCOXDnpLwiBAYrU9NndaQRitNSvtYC3KzMtyxOnjR6WFmZ2jLEF/CJb+dp/lYRdpppsAstq3QjCeV/N0UPW7WF29HtQJdIhCG2YOw7tJx7o+gE6bqIDt5ZyyJD8lSw+V/Pu2rc2xDvuelP0YjqXgvv5zz9fdaaB9JRjxyYqUbJx9n0frH50+xpwD3Z/c7NBEndsp3X9ocnDfRCLb47Mw+pMHFltLPzDXxaz1/zAM455pbRWezY32T6vJ+nJCXb51p93a5NtC/SGHHCVqA4OcHnp6CLqInwCbRft5xwVTJHjWiXsS5jJUmZpQPw2QT+PTRcv4nBe2nUR9t3b9Ukq8o52I1mK3O8pxo8RGPwVZHlyh73RxcdKoq3lOK5Hfdv0tTG18Omtu7II9C4oIvB21xlkDu4B0/NkEfCi53R7tpY3at2OjaMnFpLqCg+ZDC2jraZz1BP0FSOR54TsdhNkGSNw4814lm9YQ3aMOUb6toICUV98DjzdrTsOAVuaXjyVYgukKOXMK2TVHivOVhahwnPHQWfL0fscN700gfex8Wm59xW3/S5kCa6edxFXuUmZTF4jIaqPNm8ykrNiMNvJ8gxNIZ/T92dBIkt2bBT0fyg4epVI/rfPtjbFbxPJSPw919mPQ990QkvDf18KoH40dp/ZwJyKSUF+OFvyfGOPPfHdGhBk2WVBe0jKxNHRKb+anLEOr2SMpnySSWgoyEwzEoj/dpv053L9JpvSckCXraMPNqY4MZZrrXdZZBvLvAMBuWQCXT/1FB2Bc6IC2vJfutHBRy0zUsNIQN/HfNJlniQmxz1o+LE1KU7VuzwYoCCWogerdSRNHFrtlI2JRcW3pxaHFYe5jbor0cRiRvqGw3pCgHvY5R2VZq+yV5Qw9hMtXSAS62jDff9tXeqaaY81iIvcdQO/2pVaRygTU6+2zimp9Dy31mkgZzAP/8UW3eohZyK4XNX6XCrR/4tRz6cTV00a/VV7C9FNJ+UmRsLCc/MqYDtryXj1AZWfrIhfQB7v+ZgdTt6j7ZPGAfuZIHOsO6K1AqvtZPwBv3dgOmcipFIlORduugEHuhZU+3h0O4Fqh6pqefHuhgUZOWWHUhrpRj8jNkjCePWU2PyYhvwFPs8izmGHAvMnu9SXlknF9+Y+F3vHdoN34B9zFzPOyv1uzkH1kQ8b2m38Oftiil2svCyqVEmlbWaOm7kl2FQfj8PnJ0s/K+/OVDOKS9nGxiqbAXenSf0lmu/at1ughj3sWVq2AM3BPguJ34wdexzd67OAz7QYc3hc20Rw2c74VNSrqmzHCACITddNhgDV1OP4PVZhbNyIexbG+n69Lw54msPOmdqTfh5E3RmHvzES3TjAs3AlkdFuy94n4mY+LOlEj5Xp2JK8qJHGeN8h+F3MO1oMbDHGcFzZPtXzU+INYTl82a6SzxAZ3a1s2gpQM96bQNHvp0cwz76g0TtnQehx60O/AzP66jbZYI7Enin3fyvs+ZwzZ7/33rnHIoxyYVIpiJE/9uberNTIPU6MrWxBotYif9ff1cM2vAAH2GtVUkqboPjAl5sYzS3DtaSEshT3U/LBhfYbUsDnfO49QhCyNTprEDbTG+Dk+N5LeKveTazTtlXW/fG4sudBQlRz2VX9cPuaBH7PCYuxLLNwqUDj/BDObqa9Q3GIA9OnUMim3Lr5mXgdXBovBT/aQK0g5/b5cO6cE3eCHjv197UvNSxKlVVjd2usewbG5FsjL8262t2UtbUP+Fo+Sl6ufzXs17mlQNsAuxSDd6NlGph9K+XWjtP0dRrQ9IBL641RD6w0VgM+397zOCZPVPegceSqBKXB3e7a9VXTl52sh1Wmo4ywKO6w3MOZVzBO8U5F9irBIlluNvV0XoEHvlOzbkPB/zosIqzUHfD0gp4u+byVfdApKCtZ3Z5VKK7kg3ZtYu+OVeQ5+ZnGyB+HsMrZETDUhuf8K0NZV9PcseEB2PQvkDsvynmTanpRVT+tdvhzwNPSQTXIxp08eTwr182xIO3Yxt83tdekCG0csdbzFr3efLhua5zqvmpcvTCIxmaPgs18rvc5QVzluU8ooS45F1E3lKIPSois99pLn9rCUyhcy75rglt8Yp5oBkpoofb0M70IjwQ8OZksLFyIE+GyTvwkGyYejdzuTz+3Imwi89B14vBaBnxGEo88OtfTd/dIXZ3DVd5VYJPGlXPt04AU73msW/nKJk4zb2T011MLdJmyL2j45XcWR+iVGHB9u9nrgcMmZZt+gF5oOITjB/DDSaXBbIXTJmaj7fC9Xd0U7zRaMy5H2VR98x18qr1YaU9v2XFDcbJjLG1t+oSaSHmruUyO4t9oEr/4xy0VznOO1LKI0Z/n43WB2A1B1t/PKXbZ2rmnEeyVeCdzkN3hPhJmv4vjLPkKSNZvdbNBRpcUdycNJJmr613BoZLx8pWwKaNPtwJVXFqWdZxa588St7g978gb2Yn68+WTkimpfZYQAJSznkbSMhnZE6dapOBLOuNxxXo8ysOGZ8Rfe5nFfPD+Wvx6+LPHfLs+MuW/+s7XES7LUXAuxMqK/fvimnrUtHt6gn+NbSOGuy1RcypLFSScdVY/IF76Cwc+CUN0GtuWRaxqa3V6dadLYZmCziPE5uAl3lYtW4dNrF76vrAOHunDvQ3/dqnGZ87Hvx1UkvtyIZ36YbQWaAMo9klvc6P7sE5D+vuHMtL3avX+zow+HdFSZ6F80OMj63WyYJjfaVUBnTwQvgKgDY/akdDvITXgpNDY+EUfLjDfvszaUT7bhAxOsJDAu4wfa7AkzoIcprWMNZe+2AjGMsy73V8ptIDfofPTHamd7oa/wBH+A8Z2aa+bipNTA6kOtqKE42+mkD1wDUfpl8hDwmmlN8lS8Z8QHcYK0huXZEzHlCbv/am3nLB3+t3c05FAstpTaifQ0yKygWP4EDedrufatOx6WtRbQlXaDa9lkYiquvJ/bxWZfdGneQqiz8bHhb/6M7Hwk5+WudiQ+zei4C/5vTAD9tcRWhobW4Rmj/S2L80jHzlLj4SYHzIb6bObGf67uVmz44Dmg/a2A6HrRb8rsRi6nG5uZMQQX2hLG/loE0V/evIsftoR/JaN38qUxP3t8YLuubF8sXDlQKPgZYnohjsdzZ27+AVvlpmrwLhoEWqzp01hzg7YabAoZELZl4KsfIw9QHOYRdSZl8a8GC/uTW0/vUcJ6JzTq4KRay9RtinxtRbclYG+dyRpr/3ZPLN8p1PCdy3f0nhmlPn4uIBzWZuMh8WR339sfDki8K6AJOYudjlxqLKbhwvP23+q2baR+picY7Qkto6xKEkzJ53ykJra802M3uVtmRWYr+lMXbSCX8U2sc08C1gYOAX7VCUJC3vKB3XWkTzVaLOLUJPK/35lAHXbPReNat7Pu4jafZaOQfQkz1w7Wzqa7hn7eccIaLs5J2xVVQC7Tjjpj8O8JA+Mc2fFVtG01OITP5cCTN/7ndCrJ4SZFeJ5I0J9F2U+vW+sKlVcg5teOtJTMdZplNifOVmdFjx7nddrraY03z9cVTgf6j+8Ls2ltrdCTyAXViIQcxQ4FW3GRML9P7raJmed3/uRSRzNaz/1hCBQb3fvVjw/dRNqqPDLRUMbs3/3s3Z2iyeC+C2AVNtmb1aUqBa9HrGkJslxH0FYwK8167R/ka5P0K+CNUk4bpBS0NTJ0i+6gR+mYqh5syYGhnklRnh4o+VD9Xd9IuqNg5uHyVqS8Enqx/pEPfoAAtQ7qaiu7fWxVLl/EhNnt30D+TCtR0hNtm+r5hMTS8vOa4vXzk3PYYxxBxB9buZx24H/Q4/ndSmR6RILcnWKN+4mwlTlz7J0l5Ojem7OIUW+KKH6etQWeqCI/CdIfBRqTdmIwv8iKhLn57RvzqcEXDnAv/fM3U00xI9wes9C8vLGlNHx9K0sfkx53rjY25RnsTMVd/MNbUuUFkgXZOo+0njv49zL2lr6wjiNk/5LDDwpAQ2MD1QXszGNw7+xdSbVHXF1a0Vc4VN/QOET1KToYC7AtZ0Kp2aeb803ULPdLFIqanvDzoT7jbw8UNeHiwR7VEadY+C6YJMrU1tiCkXvWqY0NZKerPOetx4RiY1QXzdCLAP3fhO6Y7j6dMCH2rxXu+EOcPs6m9gRq9lu4eycVwMC8ZOEgr+20NtBT74gfgCNs4tzruq+b+eyFvbp7sGYuY85matU597XTWxYk1kbzLSGPiXCj1cMedrDXpy2vQF4nYVA79mEdGNo38a8IU1e9yxo9PUAdYbE2CQbgeMTdP/O1OMW6Tf07KDsQRu7bmfwKd1GQPdDruS9v5g6u6ntDL9qUbgxbBBhicXTicE4ywR2PWfiiEYCJY573c5vy8Xs+YnohXchJxqlr/0sCCbymH8LJDH6pzi4AzOEFO0ZJFdQ85wgYPfij75YNZu5VTdMPffG1cTwx0MXa6NmQGy/thH53Cv3M8VeHBIBzwXWrO0R1MT49feVFy47Qb+CRPx6alwlirqNvjdVYnUUSUwQ+nbTYQoG5PEzNGep9xOrWEjDvnAkOOYnUzVMH9RAVQ3zCE2dRljH8aqdeWQb7DdveZSTmKqIEcmb5jyh+o/d4VI7+dwTdrtP/+VicSSxf77aO25CIkjv5YV8kKEB+xWpp6SYJYM91e2/fabchjyP4BN3n5r4buciUDZL78M7w8Dx9oyRGMzeJPS/hE81k9b7FkdgvbD9bcM/M27OWOIxrYkPtz3BkyynGwVtZv6xiKpIF//FA6uue2bvUx1G2qShuuxsuZ/vU2ptQ9xrLo6yl3lSK3Cg1s7ZJexvc/d3CpiGN8IfYug2rDYO0fICDC2Y9DYYxt3JO95X/USQ27bUucB+QF4D5E7n8iCXUSBY46vPUty3Budsl57SdtocTNEOjPvw2PMc6pGanrHjxJyFI4atliFWCQOk7Eulg1Yzceu3I6OKk6OymSEV8lwKUwNOQf9cP35Wtd7VNP/2ITd3DYmj1bsOQ8UIjq5Kbc7pK4czFxVq8HV9aB8g6ppuF8aazVz6lM6dCxjmKTs4jJLz2buoqGhnVMf9HlvSzd55cpQhKknrUQAJ1dmNqcJ8AXyZ6o209vBO2AbfYHU/65JUWuZc61kHdoB5xzDPYVFxL9I2EnIMx+VzWM+7C9NyK615iWfjJ9RL1+5sNEGz42TFtja9FAXWgc4xt8Fw0dqkyswWKf0DPyLaRr4HhmWlVH1Y9bf2h5/kN70IzjcG84X0+dD6dRlYj+ZupXwdOzzcHmN5TiLcQ9ayvH7nyt2qjuPyUejyYMM6wP47nfeGof7AbRplUDA4Pd2XKx5EXKzNtoT5F8gr20KDHljsQ38gZ26CrRZxWRCo7S61zMM2PBnxWIAL4DHItIxOIyRBea8sPWUFAg45DP4CHye+AkP8NpHbZmINPNMR9M/kqL596w1VVlW7Cfwim5GdZJaeyx0uklGXiw6S7PmwtmTxiRLGcnAX7rUnoOa3Rw6oltdylvlJj8pTZ5nGOuty3sWdguz+dqAKRfjnoPu84bNnuyZnTugBQL1ECNlbc6ZRt1rfKVtVLl1QES+kfrkQNSNZGye+wVH+wtlKCvGfU4cbJ8pBk1ibuv6jMdmrim5pX3rktDMsSN63HSXltVOsiWl7/sjqMpdBkAWsfx65ZSjPb81X/utsj/vrcY3MPyeLGcNWoSZ2ME4ni2yhXdc6pvsyTdc746979Pcwt7Jba3Ghbfs8icHfqsMhwb6v2vp/z6y9/0bRMJr/jBpEHNrTZiZN2tdPNIwScBnQR6S4qy7bxHPHzT0dqmtRIPQCrmCAwtaapQrK7HHx26sS7zU73t2ptz0Jotru6P11q6FS0Qx/juT9ZMOO0eW/h34HPJdchGcRyL0+iaydmls5rzmJC3DterN3OsanPvhKRh6k738EBEClvJmaiO3Fuui3k3dZfuZlhhymNzAx39LcXh52B1DXLQReoDu6cbtQLMTGzhFAn9uKZO7xskdybv3M+u8ZiBH5bQ7OeReYZn9+KZng31t3eRRuBx8R7pTgz6BHn+cRy9s4hnG9fIvVxo/Czk3z7fPtSj5DQ9/XEWVzQedEfS5ZpG8SPvTxb12BE+8vOwE69F7G/GIwfiB5x6LMalqxJ6tBc8N8mOtc7NOtLRDdyKR93jN26RWfoW4eJLRetRfi+kBdANNGHJmYxWuKQYvrDR4jv/6LkEMf1oNM2fQu0WM1rMa7Sfk/Y3AuKOahALNWTXxvtWf99paRtP3/OX1gKH/m8sUj/vJ1Rmw74m+/3lU9PPJrXVX9/5Mabi2X0t4pl13HtnvnGFddoU0+wPpX1M7iQELWOnmRycH2H4khRr5G/DUE/j4teb7AHbG2FIHEbcu5HxgL8jPtqmPxcOmZHehTU0qXKda5mySPxU7PNk0v1eWqd+VblSDlwj4d0r5Cp4pblEnzT6AhsJI2Iy3WoLXmi9h+HFm+870iAOv+jT1Ag2Xn+wEdDq38abmc6yAUUgmx+RYT7rMyoMLXmvJ2PyV9t0saLtKikC3PIuM9i21eF2PKjPzzRA7r/kNC8alrJjnqUBfmgK0EbQDuKBLbQxciI408kxfldH0eztZ+7yhZhX4L4w2ZTdTZbfR7GC2zswCne3xCY/gLccuopF8w1vr0nD3b06vDvcjZn9WiJmr4vKtZQSfbJ7LDbQwQqBpOmECfC3lQ+GsFN7vx/n/UfVtzY3yStd/iYNJjS+HgMDYiCB0AN0BcoWAwMQmNubXf63s7dnvd/FUTT2ZCafW6rWk7tWgG9qv/RceeVrE7Y72f5/Gf8/sN2aockE/zXRY7Jx5Ce7ZP70MugOw4HFVw2Lh3k9zd2bnEHiBQ56ALzdTr6QG4Gfh4do6DxDlihQlYMsmkXSWmcJCaC1yl4C/OMh3EL9FOiHUOIrTSBXtuL5477Pe9BMQ0mo5XrFlPPmJC5rlwWN0q0r/A3Kbg6n/df7az2TiQTvqNOMqPYc7K+31Ikd0gOVxUtaa5s7iFgMOmjB9soEvyrl4xh/uXxxaya1GXU5DchIBequEMvU7VqU1J+EckUC+480vcsCmxk0Q7XVfaXI62eQ7fy6bGB87OaGTGqxHzv0vFnVfxdf+R4bLykcsU81f3pgecMwfLvRSuJ0uNgnvrAP9Nj8Aty1uYw+/LzfA7vwM/KiFAK8FTgrdPtoN9JxjU8E4TxFoG41X0HgJRK5NggP8DIMmVl+gEV7fywXdAH/74p6HRYDuMZhxw1O64o28SdoVLftjq6kLgWMDl5tHwHGZi/1DGHQCFS3el+qMQJkC96vcww5yp6gm4glKrAawPnVes/xuz1pL0z9UC0ixaUk8iXRuphCcuR+eB/tuas8g3n5U3H0JbSop1qkRXXd08VG6xD1Z9g9x9I5bcslKXzMXI2Jx0Nj+Avfomr7gl3bIovyqrBa0eAK6pLuf3/94uWWBHuM5cLXCaKgmgPzLkXty4f0Dn60jWVTTAZQ6yuX4aReBrlT0Z4Nc+045L/BonwRNOPBtmo74nw/M0Ulw9dLe02EFVrVrrfU9L4kAbjpy8324mWGNL2audMEI8Jkuwxb/5XTKVZjE/gH449PMKjYsgUekBC7ESHzYmbrh/14L1a4f0XHlNScIRwe31VqCJhWCqw6XgyV6lBZhvuJxPdGh+06t9ZFG2tTH72TsZyZX1sUfU8fyjX/nae+9M8MfLDaVdf5BTYcXx75m1Jz9kKmxpA9cfksh9zVhN6auDxyx3Z0HeSgm9d5Y3nsWA44xUw8ig2qAOC+TNX3eNgUcJn2afvuHLaPhWWnpAF/EDScL8OBXPyxTw+fOeLpDHLyxMLeMnwe1u7S2cKqCg8uteRJMB7U+mDmhgE8yzZDvK2f1sCAd6I6HMj3WPXw/wIHC9D6EBJ59SbGjgobPrz4OPx0+AXfg+zp2BcFYnEf0BTG8NoHZF/908KgXsuH3c+xvZm6xCENPaP5zZkqqkn8VfB6Ue1nbrbq2YrbSp/GZTJDJ/bzUDmDQ+4v3Al7eyJY/iPv3cXQqs5trfONn0L0o1eSLREmq4twyea/q0bWCNQN8/0rL8JFy4N3jsjVmDpIt39IIV0eLH+SASVaq0NSln2P2ypV1a+GagGamG/Zr3X1x09eCCG/sOYP4xbU42PXAD8RCgJvJg0fpxoYFMpr+yWHt8ykE7hau3Jlpi9g9d2aS20kIuvcEPMAxMyj/nS+jLm3i4W50dW1frucpWSp3vhELTyLWU+rYHjzrG3P1WoxLUL8vKeAz6AtQoWgGToZEYcmfnH7uqKPqihFQoDosAsI44iW2/jdLohpW3P7Wsu7v5x5zwKLnOXo8IIducrCfPFJ9w5O32syDFZUt48GuNjObKlla49ngzm+gx39qZ3k702qXhtW1MutC59s5qq4Fky8fmIFY+svMllfD7EoLv5kaP7VpmorQUg7JW1cLJYjFQuTn4s8KPFhDrk9BC0+k7G51yKNqVH6LQJ/wDjKmDzm+26Wj5xUhMnXg/+ocsvB2P9NPC/Q1vAtUQ/51WNwxOZDs6OzfMCPWOchX+Ea+spJLbfGntCGPcf5RaLXWA66Vmf1uzQTeLXB5lUBshTXVQOz5Vx3xV660sogfmlINhUgmzNEOYumaOyghYp9ghiw+zPBnZjUTKnPb7PlBjgq6bwp6lFlrxgfvKuJ8h0v5kzIb8qP8SL/+bJVDTspFVzn9m//FQZdlTMhnOuxjeC/lEXRI7eyvlZPkIL5BI/FTU37uTs+FNkxXNdsLyXIH8mSqnMTUjnhKLHfQwh53dhuhLfx59zRzbU52fq9o+8opLuRZWNvKeHDKZlMdcFYGfNRq4nQHuv6nDUBbxtLGfN7lo6nHujkFkrUK8Ar55Kmc/SJj4Lhmn2bI72fWwr0Suw74uzmloGx91SwN56myzOywmiZ1xkFj2XNcUXSt+VwDrickxDPm3XTaOk1LXzILo9bGX0XpbzxCWzWoCuKKEBtNvz0X1v6tETbwttDKmf462fM/n1v2tfgt9Y/Aa0LjrV4ErQUa52rOgehz7/JxjouYPGm4PJsSu7WdwE9QSfrWkrzysHEuZF6ZD15e2f7UjGgqptClTOKGgbbQ6MVt7jj2j2lv5h8BfoJuBR7bwZ1fxddykKyrWeljYps68PYhuN6RiFyN70obYgG8CLDfP+T64Bab9vIJ9FJ/AF0NutHh+hxA3NF/s1pSweHrx6aWOHmDd/dgUVI1vNPpMNM0wF+1Y2Z1m9p94gF2HqlmT+DtTh3glA02y619x92uawTwlQBt8H1M/RXENHdqV5m/86qpcNpwH0Oe9IFPYspUB/GQ1Zvvi4Ef03K+FcPNYs4apqUaKSOg3CH/W/oIa6en3Afeb86F110zyFMba0CLpJZ6MOcOW/3cB9X/Zt65QuPg5ELu1TzJmFdlVF5rC31VFn4IhGUTzUL2yYcYB5cL9KMEW/nQJXRqn/moJHCCd2VjBO9TiskHjSlvwIWerdiDnsBROvDX/jzoR0XPg7VhDZj4vK1CoBD3w/W4+Ws++UERJ2/wDj0VLd05tH+OlnyennsnhZyKt+6DjtwRgdSQ663MnHG4ianV/YJv+3buc6sAUvw6C8h5/jwDKvLy81HxOcP27BneTKn+4NNf2/T4ABYcz1zFTQTvCUkpQuRJnZvdI7+y5rlhlwc2fZOmX7vsRjldrkSjB+m7Oxdd/o8DPJdQbj58KzJhjT2lpVvZcC13rhRiEAPySVB4zcfOI6L7YiUzmqoXVDERzrHc8CnfUAbK7ofZCTwrrFVT+zEkpeGd7dj900TKMXU7+1sa7rfU8O0YMCGyHtUI68wirOkHMzP1B7jsYvxCsYOyxkGojjFgJHYwl/TktB7k/jfqfD64Y7zu0Cnnpo6l+50J+9qDVRvoJ9ecQzJHft2ejIFsQn6YOt6P8Xjlvakp6gAnb17qyl6Vs6QitGUp+5YTdu7VMSsZ4IfNgTMA58EfWbhwNUpZ2+SYBurFbX55bs3gHcNCk7GEbyu/FPA6YqkdvN+xGHXdiPR6jqSZv3FpnOpJKTplEXCeHiNlo4yF1p2EHjLPnW58JKXyget3Amm/Br7yr58oIj8FM2f/+sStzivs+XDmZp+Th9TM+UTcTS1VNuXhkZnvLvZdteGch2uQxgQAUuVNjBgRuUu0PhaD98GpP1ej6fPWwJzRy0vnVhlPN8SND29aWF2URTfrHM260L6HQ1hXFC/NRp71kPRwDz5w8pRs/tWcQxMBfKT3P2o33QnKD61lz3Vkm/2HHRkPDyw+rw365/f1YPDmm6gzXsym9kszx9pRpk2vBiElBr68DDz2cxawXWNm6iL47qNM8e8cH/zdlO2TufMq4w5+F05bhn4oIodzT76Aj8Wguf/5mMF1LOb6XcvsCPChrMQSKVbZ3Mw/ioDPawbRuNbp174ynP7M9rJww1Vt+U4w79CM3pUIyDHxpyvdAfTW7NAtdeQIWm9A4kzZ60zqziIVkvd9WACSwfqiWGC7ciBPR0iY+bhcK32CdVHHZAJu3csekNqGfDLMU+76Vf6Ef1tqLES3QQ5dAczrBjhLPe6N2xJJ3X+zJCLgjVxaf6x2U4AE81zEs/GXmqSzHjggGPDXn1zPF2KrA+/zXWrPwG9ULhFwbiehzXDzcrbshLDuoNdmvvmntMw9KpK0NufezmvP/Oa1xXIA7GL5+LhzS5/OwqsAp3DuKg/uw88H8kEQykA7IcHNfE8ua2etCdyZGoBPOhrVLME02h+5jUihMSGC7My8QlMDwkr0Wl9Zy/iltrnPLNDzY2JR0w+geYUtcinYEvNQHU9Ooqs+gTUtVzHpHRvXpdb6rbX4Fwf9IAaZAibdsvfFk9yX5nemw7Byq/Vk1P2bu8QZT6StFsjddWMRpwhwBlz9AzjMpvhhzd73lbRAw5bkcbISXPP2qYSMmmH/u+9RRMaPqHNy9+A1g/7GI2gURmb8vrdxT5yU/uvjeKt6/J5O6D0L/1igGwaiyViX86VlD6+iiSVGEglx2RXbwc7H2+PMZnxybiuFXA4xm4LmA9xeqtxZ/TYkp9w+XDOWb3LL72rYG5+ElzfLtwhJDd/jVAHRz8W6qRAnJ4e/1cPy0w5dD/ogSTc8UFcDh0Ifytnt8t70r+OpDpdTM5Kthftk03CVoOWknneYfz6yqBM0IKug7av+cEcj4/0yWy1Pvab8u7bDfDNnoLmzh++oMxKgO7UWlAFHpFa1nmlitz16nCFW0/c9o8O8UxqFDAGfpugO8Tq2jgTuzl0S4MJ4A772e1v+15YQR8BHn9XoWWY2JR5IJcz8O2df1lR+tG53B/xdOf0ELWjme6U7MzfnTLs3aq1zIfTWQuyzCWWmn12GnQC+zQpTLxS++tqWgDL7GwfwTXl3qcrkvXb5s4ilAI5/KMqL4Yq3uteC2MMVcooFuQDVsDaALzHgSVdYJ3cV4QRbl8cJNKOkw7WJL3c87t+Ojn4A93jt90JuND0IQHLHy52i+S3dZAk5KMqHxexJbfi3ZjThZyRvgJk2xJ0lKfJAcxzJsN5Ac63SZcBPgNXEWBThzQZdbadjAhi/1AVP/vnAQJ4FjO7g25PrOeb3TLQuaPxUIr3UW3inW+iZuh+4+o47XlW4/ALxasP1T5lQWMX+NxUrMTjVOOEK752fQQ9xh5cykEs7yv/jO8eNT493LvYO8FSfGH/XMDf9UTR1jQ+mOevxDjjoYsifkCuRxqZGtzBnhe1djB4B3Uqqcb/7PeuZ/rp1eFvN/heG/C43Xr4wSlE18A1yQ7QCDyTb2cwmprllPLkgdwEO8UyY2jkuC1zcrnA9M+/Io878XfzGTXLFDJaY8Xdx9vBO+YDj5Afw32ZIb9z++8+nnYj0jqM/D1hDSz7pvg31AbDDA5ixMeUXNXRmL/LJB/sNtBdKtYra+AI5J92lXNctaKhaVFaK2rupY2gdXaZ2t8tNf4WVsKP1b49oLVzQimEKusJ+y+AaJ6v7PgfIPnME2Pf3oZDPQD9/C6Z+a3+OroJcxSvG1bvk8mHmkxZWsiqxt0zdMNWHXVumj7yc3eq5L8nEX3uVdxVKyGGwflzfrKUVuOZGBowJcFHjqQe87ID1warMbAeWPho+c8yTD1LqmQI/J/Gct6hylOYeaI5TATnb9Ls1sb9iIR9mVvtLw0Ku5cajry2TQgXk1sB3gftkzSbtVmjbnOXRkd1VL01Pcg35/8HDg9UMdtTCN1FR99FYe9QK+4Yp5H3xx8od0z+vzf5skevqhVET8NAld40nrXF/5PSMtCud7kEjDSuTfLfWXjPUOYLtv5vh8pTjwy0mZZpP40pfLEGT1DhM4E1/AHaWZJwn0MPX8yg/qDgAkuJ/e+aYds4JNJaIgA/H1ZYPe50G3ZayfKdK/ctbTR/4f/eyErz9fcL9PbCNQK+Eu4zyoha3BzzjR4ZAmcQop85yIhwTEV7sQpBXfZQG/fUF2s1rtg5w3QPdYZcEaW72QHMbGW2ytGESAKZfOcOdmWtNomSrtaKwrjmZ/DcS2l+VkIWK9ZeI0ake5kQxz8xQdklIXp5Ol8b63KXhwQaOd8c9Ak7mAz8fHAx6TbGkoGGSA6+YcFCZPpcbj4EbRYABU3oFreZXtHoCnx0rMyOaHbxWz1vVa5dsahSTWgA1XrhRpyMmLOBFpVVNx/07PPuRW3+eLcdXuiXAz/kO2zIwZ0vMkl3NYXXb+itnNvycy4zt8XHrsHRmWoNalyC3lGVX5gyRDwfvaM+vPb1rxkEfvO+fqVAOaBzgU6nxzRva92WoHQ+ZGR1toLpzjO6mHzbf/tona1/UtioqCnzZnJ1PyReB+Ib19VGbmiiEO67JXU4Jr4Z/NdJRZadmfsJsPGWIrSGmOCm4SnGxz0B7wXv1JSmlJrGKKlP/GqmlCDjE6oqPrqnWSkbQtm46yqPQn6CRCNy3HGSgQJ1fQCO1r2uloJMQ8IbvOhgAp0hVCWz2E05yMF41+qqoOXlnd9AMwdHxQNfhrHou+ZkRiQV3fnuKAHt/6+UD8lM7GPJDEklbJ6ChJ8Y+X/sAropJXvXh7rQlpbL2LgZOCKx6B3piaWz9Q0bPU/zTOdrYBk605b081lsLeYxfgW8zM3/qrKvfGsLz13IAjKPMHbz/+lKntPy3f7hwo3qR/JBfy4Ux0Gr2q4/msWbFslSD93PucQp//uFcReeIP1LgC6Z/KOPGX3q+/fZ6Tink7Pw3H8JzgyYky5ntbBZ3L86meTkzVvr3NpAPbEngv6tmce5Im6/HLfluHZ6oye/PE1lz4dWg48uqnFPTb0Ac4J/x/MHDLm+Ex/6P79kjFXptSv/E/9d7GzebAgyHnOgazwOSs2iepDu/KVf5LDb6mOeAibZiF1sNu+2/z8HOIy/PY/LTTvKrmbqS6uRpvF+AkfjwO29FbPYRhjvWr9lVtyu2lidweojc1hJD8t/+B/wBuS8qQCuAOqqo/Qm45mWnbXCbET8IfCNzZpBbaIW4esgYYqecR9ODCeu8Iy46memElTMXGGL2tQ9QWToCHf5sh7WEfF6nzu56dHiPhfGowL6Zh/uLh7/cpn3SIHRpz2+Uqgfu86uIOwvW+wG47KMO4Tm1vp0jtKMjcADgvzV99TzePNDPb7Xzea0F/H8mdaOVUFbXFxr0jkUqOsrb0fSka7O3rt9lYPZLFOhDVDDj8dWnj0zI7iyYcwYJQgPQ9uVfry6lfY5nmYl/9aIPWSYXyUBLIhTWI9HwW0wf5xfE3o3A/69LrOHeqnToqiYkAfDih9zQW2G8WriqyWAvxAb9I/auQge3sBWp9By2cTKwaLcSx3v1p6xnjb8kkqAxVN+yfQEx/VVHOoA/54XrQw7lHPg0B27DKxf4ecgvlLHneVzrIiI/wC2Ls1YDQVLCdeGe/Y+C2W4aIgp5PcQl+tcrnVFUpOzwNHWKVKMeh4BVYolBpX7g0Jztz341dPB+dC+ZZpztXTp0mk6D8c3zsZU803JwidvNVZ9bVVltIlIVaLyudlBufGVe+qsOmIMHFRmPEsin32wydUb7D9qHW9OTK7P9jbif98bs6wWy4u9/NhqgoXKxBXgk08EDrfN7/mZ6YOaa/vXycX/nLvZUn25N+W/eKMSrds6mn8aViYrRodpCF3jfTxrtfYJ8ruzDZrxM2t4ffj32OerVuDezKr8LtwubEj/xxD9yIXHL+dX49ZzDuagDgogw/dT/fLFEE6ldi5QL/PddunpTPSnqUEoc66my5b3QpKpd3LNovzXT/NVSieC9gw4iI++VUzG7g/VvYrUU6O8uLdF7PZrqdQ5abj7hrz//6jdUZGauhw51TA3e5w74DGS8zuGoi6pN5mdhH6seOLyDcCq6JTdnb7b8akfbE6PdZRQjOth50Uuzlwsc/PZgJQfs8hNO/TAf0PLSRJBfb8VgPM74W2UfzAx1Cfg7gKbWgMFIjdYV8OZRfS2kMf4pLCGAweXRPdxzRg5ZBDnNlQ+llUyZ8Rhappqh/OiaPSTrWdjza1+UiEh+CLa8N5tf0w0Y3gT6OQ49HifeuewcGs9GU7pn8dgdXdLTnqT4+WcjlF256ZN3+S+nq0pylcIu2MbHYrg8AD8WvskVYuh1LXrW3TtzZiFdrAsNPCyW8O/0CXgCqSfdVY79Xtmz3YIGkAH+aSZekz4E/bUwM327YPu6EcTHTr7lk7rmJa5otPpKrG+E2YC9/2raOSj2qrblibmXa2X28wL9AxqUgnpycAF5aFxsXvJr5XSdmZDRTBWsta4HDXJibMloiEE/6JVbywX0iRAjX8gTeKdrZhnIW83+7VUyNirQwnvQkwk5j7Z/LpO03ZB3dGTSRJcNvgX6nXHtDJZi6xst9jkt5w07wxW0k83Cnf1fnK9FScpzpADn5dGcF+NJfUnIS/+91tHMuSO28bvWNQvnH4IQxmYGMdW2BF2RMXiG6L9+oxu/nAf4ufGjed/vatE+ObwP7HLIQX/vmK2gxfbM/DkLQMdvchBl+NIONjd9BSWshfe9zfTfe2OjL9ofHOXAvcb8dy70ObJNPuuFmL/P0xykbHgI3f00PS8Era4ZQjWsvcc59o+M/+5RGQwpQft9mV7C1/dKbd9uR+QQp7swhPp8mhc+EdBd6MLc7o1vzKnLriOoK6oh35itHxzyzjmSd1h3NmjoRUzI7HUKwNmVcf8KOu7666cn9lHj4pfXYiDtXy83D9bqV2HQX/99iEHNjeWdVMkZ5N0L6DnCxdzXrHtr3NwrHA+ylULVNEM8oZwMc1nxg8O3hMP61rngNNc+BApOiGX/6wsoQjtWIinyQZcMYYGNCWWY6NSGbzyiE/CorrBBF0drZDyICmcteY9uMk50TslbvfmCUdC19uwBr+4Ml2IbMJLY+AsnwIXwK+YjyCE2aCAGOS6TFsmAE9bAVVfgt7wZvIib/OZ4R4J4mbJ0M7PPW6TDlK2QE9UG3CThGlVSAFaGKG8ocrNI7iBObmkvi9xBL09dya15ht/lncPKgzd+PzorYIYCjqOuJP5cG6RyNUonNTNiSjm2oQJNyEztVmg4I92Gq+ldyd4Xqor9G/BzzIDLpWMO2Gp8Y/evOLxniM+y2H8B5o5tb/ovlUURQaALJTU15fTvfzzter9SzjIXgR6BHxI5JJrG4VVGirIRGa15BwWDW4pXKfSBm1o24MtUkFev2Uc7claUPj3aud0wfDPej6D1BMTh1gD3UK6+ZYhBvOiIcG3OqT/YpCrACrsIlGPmyBxtYFJWNwDHwWc923VPID/gL953FQnwy0/vycYkxbGpSVWuiNX15JKMRl5PDIflZEeMt5KTnFrL+/X7gXewmX2nrOQQvzIAvmR8ph0C6s7MjgI9GAmtDSYufPx8SvbPJ/DRiPWbO3PXwKsk299doVVEqD9VIrnmm46N91xeyh3EHOSsTlebn/KBb2mPjU9Xmrrs3grpGz9rGaRPGg+P3PK+K4sg9v9roqotVZaJ/cAhRxW9XzO78iigSWq4ikvidpwz0F8Cj97Y0u4tjdEbc0y9xp8VeFaRu+gD1saTDwZv5TUN+A8e/uzkuI+Pjvo+ASK96ohEfHDryJ4Zh/U4QO7f1BUydM7HP241YYSpTNvidj8HMgP8D2r4hsVIrsCrUuKsnDiVk0KuNmdWwAlz9v5nlwXq7Ryb/lrfzLh57X3txOQ/QE+4J6eycWj6+yUxfNDUFZl5g9Lu4nOMpWDq0kZ6JBZcg0LcMFUYZ4a2Z660FkEcDfpiDc1eJ43mvuX+2lj2ndkyfWmH0ybfgRuJFrVP0PvX2u1OaexrEcC3CvTWsvkkdVfCPfUqXH/IRHrM7BMZAFmeC2h9lJJp8Ji1PESo6xYwLuM+Ad0Y1sMAPEa9aqQ/4N5szJa4CLuFou7ZBP7vrM3W/Z1Xk4uocrMAqMSIMhwlAx7nnzbQUWP785kD8+i7a27pRE6HFfjnG6U4wzboLypvPO7Y6fnnf74Hjvdda9L/zisHTcIo3rXczAzSc1b8uUJ8/HdOmX4Sa70wZw98Z++IOIkgJirFCOQUZWZLWG2ZOGZ+KuAUaZmszdlPE71qU2930Jg5fN0n6MET7+WYjmuZOx0izv4qepUyrk+gNa+VBh7AUMK0ek9pEqQlwXX/afwWmPEH+M3VkwYupDHkrJ96+9xqS72DRn/V9sRsXC+/vt1CScIOO4gH+1zKMqe8a5FvPCFlpfG9ZWTMIVObudaN09nwXKBx/SMNPYi1DqXGyY7yK+5/K/YtFesTZ7xjpXzVOXhF//ngo7Ihcf+c/9Nre68D+Abjygo3WQEbSuCOHLgh5EtsN2G+qkEXhQPq20YM1vHR7IW0k39TLo/OfLbZb691UirISzL6970qOsiTEMr09M2Qm3zC0ZM6GLSy8tUQepWFj0qDDhwxbennAwMH4Jt+Nxy2dlTelr7JLUFt+nD1YGplOlz8cdPIMv2yu/PXn9csWht+1p/jT+/kKEsO+1s1tg/IOyHo0Rz+K88DA0xIXVHsU2XP6zkG3HN5xyFO8bBb2XC44hgIh9nXtuwR+Jdzsg5PanUMNLhr+NRrfTGnusO1d8B/F4jpZ0rRPbWkqEY7ZSXRIvZ/5NZ6OFA3iO81ff5Z257PleN9MNPTYLxJJx6xSB6rcbc1lG+F8/lUvQ9fyo/bDb/OHRYeJq4a5xoH+AaxkEKYdtgFzk+xV4coxHZywxsCvXywagRXjDEvrAW+BfHJALkWsK1g8tSW+NBGvCi0Hmpu/M/YDvhO0jL16su+nJl8h/eSYgb6ADRn+rUvG1qtwCDucL2aMMg7Meh7a4+wwaAv4NSTeuPGi63H0uyjte4F9OFqOL1zdKwVFBHDgBmwBr7xJF+4cc3CTwuz7g5YesjKecSxz6nTcRX/NXO5OeS7HnLmtYnVBjlGCj4fc3Z7pOaMMdDfzfb3Thx+AJ0yk4F5BHSpihQmzIOc24V4lC+OHUN89zRWz9qcxYrQSpln5QN5nBHuYOl2JCC+KNHW0gPEcreRryUA/PyA92H24abamrs0vDx5r9/FYPttsT9mMUmYC5kt6hwZJP+nd2kpydT9x/8utI+15Y0COPSvrz4zmOXvqEUKyvZWxgB5mZrMrHegdgfjva3K7k2OJK7fl2/MhqsMOhv040/jag4a+7uO5leuLArhmVqKHXZkTh3Qxjbg35jAp10u3AIu6ejHefzdfwLuU13rSA0FUlURzZfUNfNf91WG0icPtJ+FNuiZReTG3zmWK49M/aV+7W+MxJ7L1OoEZP6O89DkFR/ui6YDGhvO7/WEU6XlT2Ot3PRdAKs2fhbfOTWz27oPEbTw3J5WvOuo8RpmuQuxVCvEPWW3z6pnr/qoDwUcJmNJUIRklwnLyQSy2tDL2+iP8W2mcD2vEfICz404GyC3m5q45Ic5KARdGIre94GPHyoLcop7WLnx8IPff9p0BvqhAzb50g4/dY++JP+7pTTczJxIEZE7nXybilmm5Sfcc/LOYvlTaDNPO/eU5fWgC8w7upKSHyvTO2tiZ7A9YHtvZFBOq43nu/E1ZcC7u9e5A2ui3cYHr2pK9uBMe4WtcQFrorWTZ2tzt6WaGX3TIinMjOncnoOjzafckakMkzvo8R8+IQdyqak1z1qIQePF2JSpQ3pESN/981uWfeoBXuCM7YM2lL85RESeEFPiwNrZSIgTLLxvJnAqIngPDvrmtraaEFtmnws00u0syMxcEnC3YzzEEXDRuEA8wBthoHNfzzVL+mlLdnNI0Lq1S04yMrNX0b2O1qBgOmnhuiTa/3DKj8zFPwV7PHlEvmubDJCr4X2mHuAMcKmEUuYFoKUziC3SRngsOPkg/b/zlHcJfBriq29cPxDvew9w2Pg/Hkj4uZ2F9CpnPQIX/pJfy611jLeZIoVtXCq6ZwH5AK7LUx3afMAa3iPcXlcA5854yE81JR8N+jfD+gTa9U6sPS4iTH57C4AXYwelbZ+u58g7Cka0hDWjps4G3jIqZm1H+Pun536ho10bDxI8rvrk6ot8v+1al2DFk8z0KJ1Bz1TP/Wt/Y1PP/U8B/NL4X0OcOlWvD82mD9JOV+BzqIHnrL72bmp3UT0sPXX9romQrL6WITf1ENFCiPPrB+AVxlMDJUL2KoHYj7H1eOLoxQ+XVZlZUUw5WVA5XMB9AYaxTVs0RBDDf58tUogK5eGwtaoBIbolO4jRnWLqlPPuCevKU9zfcrGiE3B34HQ+3H+fMWzm0xIa4Nf+PHD5hzl17uHeS9ybCdlJngUHp6U8gjWymRxCIJeCbjwAfu1gffTU/tzhrXo0AbtTG/H8a/9Op8HCYrlVFJcsnM1sXKtiyY0OnL/OOODfJnmpPyRrn2SDZxi6b2If1nrsSKMxycUS1hb2a1dO7egFjbNUdcjhuvCy0KeVDtJnQRemXEY1l6aOyzoH5Afb3cyc+Zlur97bpeMIdecxB1W5xGRqn/Ww+nTshAxBL5s+MKZ/RM/fabiYmZiPSqe7M7PT3EJ34O8z5iQVOnkrzGzOcP5oA2RqAWbQ7BfjCymZ/erZ90EDSFjDiZjw05zxcFd9gHZ3RcCnYuIpQTPkRZvXjvFr5F95r08txLzsiTb9kMCbbw2SPcSAozaIf+YxZuErcE6jNX796F8YRcrO1B6SFJETcZM4i3/3+DRo0ZyOpGah5R0t4E2OvcgS8rWWNXDpCxfWHffV9qstw8eVIP4A7vdzDjWWUXelTM6csgce1Avnc1osUQ6qFDRfzgM/y138LNzhgQEXAf9+Z9yB3riasxXIIWFtzwc2zYjSfJd+mTl4Kk4HbxI0v7Jo/vVJEBT9cOf2KKzhiifyqp3jhe0XqZUcVYiA1x4gdiXoBdO7jHc548YDVSqzhifggQ6yqtLsW4LW6jssgCGdLPJBQecpM5cWybQJKvie6oMh0LsjaHDm/ZfP3zY+mTMgNZ+RRLXzaTP74OF4dtrQvojQI0Uob8oGaGYQc+FCsFZTOkFOEXJInZ0HGGv2DT4AQ3lq3ZyaK0Yn/l1YagF+eTg664uzmbOJFP7/BxtVDDmfFOYs1dob3EGgk7pWg4YwvZl9kpq5UtJZ50bor2ocHgJyP7PgOjZ+SKGfTanvikqUiyTFUXenrnxCoLzwcGm2z7Wd0KBsX2amf5bZBSmB1dlzXVH/WDmzzCe+pOF8BO7gAZ+JVTSsxWg5xFnWk6W/JPxCGf8FnNo9KzEX1WBq9z14X7qWtv96rie1fZazPZdOlxxt4AKuSgmXXTPxDg8P9+SmD8C6R8p2WzvOx4J1H0B8XBaggwRc5b9zhpYc1mB+Bn59LpVDjV9bj3oRz2/nr/2LA2zc9g+gAwCT5FtqKd0EciOA4WmUfPPgsMF6YzyeMY2WudE+5GHg+8BHeNzaxtf95MxvoP298zA/5ZRbv/XmWulzoEDLygW+9QsP68rZXQtQkUAA73SwjUZ8Axws2hiZWoPvdJqdMyKSD9ZOhXuaUewD/8FpCIih+U/uzAGsqXeIyTvZDi5ne8oYj5qRXBlVd27982i9pGwxZzEzdmYze7OoneXY2GZfQcmslF/YYVeDGNjxdiqGTCOWGQemZg6/qaF7gH6Dezx4Zk+RbV2QmX7gsL2nG6bniByygL/22Z4tg/XsEuDIg0d6eUqdwcw2TQo7tAoBeTJcOzGuEzXzgqyFnEWHiZPuSAg4U6oCnqsqNkS42CNTVya072XRPk5taVcjd7Lw1ee7OIylHn7unfZrsUSP01rgMEN8BY7Yqyl58ueeN5OkrbhcAUcmEsiBRxpye5eBpE6zSNIjqOPc9XeEtU5OTX2OYlWpRuCYTz59vvSyDbiUw3ccQXOVTaTjfEyC1kpCZidIAo8nkYoKZ3kD3ZpQjWrAlCe3ui5j2m9HdDqDmjNGSfkIAIG6K4hiD5edPofIOYNWbkT7z4ug3VIA5nnH+cWubeydw0SKEbROtHO50y2Q9441RzV3cdIikqZs/9Vy0P3F8oNNP7nbFczZV8WIDhVbGA140jjI1Eb9VA5w+kn9q4FpnQ7ej7a4iy548DTkxTfApffUMr7pagJtZnRYbs42BPJrMhmdbs52K7d+v915nGRi8jOji8X06dABXVSZWHiT78C76mZIXlrvRll3qZzkgQGziekr5XJVFk9Fb2jiDFpznRqHFBXbj1m0XKTbjWnASRPrzngt8NG7t65vF5TPNFz7s9nP091JFr/e3F8qHl4xb7z6AZv5IoW3it99QH0nQzJVVhdz0//U/2d/Slk2K0LQU8FfNx1W4FQHiHcCcalvckridgqvqv/cRECy3/P6wfQJKJ/+e66bWw970In+98kFTOqV8QmyWOQdzqa3b8Q/p009mi+Dzzcni4FjIvU7T8roDFgvb+nWPtvn4mbF8p67l5Uj8tZScoJv5zW6M7OQXs8F3NW/5GP+wKK1QHfMOFQzs7uRG18uzr/awTu1UQL5WznwbFvG/Qq01qEeEjM3C9aj1sycSY375xG4Jvz7d+mAlivni9D6KR37n9civKOORnORCd2Bhr2YkiTQjgsRa3d0u5RGZnQKHkzPI1z3hw3JiMPF7HMPLccPs55bjmxSygV0/Smdho2HScSnxGuC7i0L//nBZs2A+3y8OedRDdTFxcmyY+PZn5V+hW2zB5V0Z+ovDFWeDFAJWvYCOf5NoLn6PesIQVcE6kO52AduZXwrLO6Qb8hfoOW8Adbqy7/X9PQ9C43TykG3Nq7uxEHHvGdbCxksKy9XpZPHf+sgYC35ETH+5+M6YgCN03MRRncRbirjQ9NfyFrjbaZnWwK3ZdbeOdnza88cvref0qDdSLHkkE3MPELntKVP4HhW2lc7WMOXQvOnmd8qqf/Me4JMD4sUF7tgpMg1fs/MbIVezpDH3mCt3tWIyoxxn/et1Q4vv2XgOhFCxmOhBobdBHrKR3xNeWLXNNlqC42FzelxkyItkwNG6Is5mp7h7x3d+Qq8VQLuXOsQeGZAiJrye2WbuEG/ni+gQQjo2dd+1MyH5AYK9w45cwV+afFBrVkMv8dZZmUhUURzX4juADlrSfvWBl7bHzfkEoaJYt5QUenS8Qa/N8lqnVpNlJTEldHR2j3wuGgakdfcwEiVyD7Zw9psajramAO+OEWPUinYDr6hwKCtWaRrU2NVT7PEkbphi2hsI+AeB9vMr2JWVxTWGigmQceEa4v4qRr3gPnAb9j62ksxNcb6PPm0LiE72mRkTLtsmHeVJR0+VFcc2TfsctAzn9ej3XWwhiVojAR0KsTs45lFxII1MrFSb3K6rNJJSuNVZPYXM/HnLpAOXmcB7ShNf/Sb3IYtfQcsAwXMon0pde6BDj8oR95qt6vOEx5aBN90tOB3pE4KfBZy3F1Eucetz1WZOlFb3Vrdle0Wgh6Scz4ejAb9l5fxoFcpSAnM6F5ZuGcBJjTGK31fnudhgBjhOjP+9nHlcjfdFcHfKxH71cwXMuf/sB4cZsHadbxahUrnxT4ArKfMQgkZOiod9HqHb4JhTPT8zhACHEqugsmw5bKoBfmpuPqd441LM9fV+KXMrhwrLy2BX23+ALrjAvw+xjrZBJtvctwDX9FfxuG5BY1x2sw8dNK/9rErLmlW3O5txJyWAa7GwzUNOojVzyedup71/NEYn2aWgx7OH/Cztd7kWIdYGH/U1pXCnKfw8WLcywZMfaTY7KSOLbGWR0aTl/468j7x2mjp64CbOoe8mOYud7pe6c7mIZ/ZsP+Pd84GGFVWj3RsH7/e6IgEYiDGE8PB70tuZhu0gT/nAq7AjIcd/At92GTwwqilExNyGoE6yL/ZyfYRZ48dYO2BiPkL8nHciF/OAHrZI7nTmpqZH8kubuomO8FNTxBgbrH0J6e6inC5SU0MDt2puGx485Oje3jVpWh4Bymm2NTp7c5jMhw39W7O6+EbrTXXaTOunLifV9pLwC481cAzTV1XrvMdrLUf4JfXNtSgKaXLRshulq4g/mfgEnGt+Zpx/LpWxDVw2yd8/0lK4JuajTpmIolE6Z/gWS4Zra5yVPA8smOuLgTHhZkZB5z8igHXa8srKo2foDVXEptzAV6nYcdUj4ujy+Nmw8tr78t4ebSWtQHv3HKaUON7wQdZUD3vVPTpicn4+CvX+GEW2rT8olMOOirnB6eJ1bd0E8HZTArHrIMkkRZ6h3ds09gX59GCPNG9cP4Ga+WWi4snejlUJdd5me9UDwyHDk7ttKBNcEB04jeWLPAA63eUI6jDCnjiAPccN6G9gja/p1Z3qKb0SZkCbfLH4vzTzAkB3vtvbkWkrHU5FzdbRuwKsb8DVquBexhvqsPJ0bYUXDeAtUqYuYtKshJFyvXv0m2f1TR/C41KOsJniXnGQdeC7oz487aBRrHUyGk7eq/aOdFu+keN8kcFygYdUtURQdjC19biCPRmVJXGY2sZQAfOZ+BgUrcr8AWLsJtLBrQDzerkNnAdiz8LWwbF0N05VX6q8Ugd+6uy9v/mIdaDfgD/K5tBogKwA9hB0oY8yUu0URvLtAfcjz9XHuNHY+6WQeQLLy/CboR7fJgeFBqo7zY0NRxzVEyAzO9/nKPTDTUlX8CFXvnLUaG9o8DvQSdQGiaL6S1XQb5B7s3NHKFcLKA2yCSE1xeB8aafCzohnYm15C6/Kku5NQjnAhDxP97B+JEPvAYumR5tGbfMfs3kSoFbD8TMU+f8WDMz69v0m/C8HvcHGSeQq1Quh5VUdrVrytzl2i+qspMN5++1q+OK4ZzA2lXo4GWBvNSM+CRWxyy+7CjoI8r/vvajfhoHT8BF3+FZs5OVe6nbkdS5GQfODfjwJq3HlY9rdRYW4DyxMjNnVqsv2as+d6ztZMmdeN+fsrADvsF3Lepc+PY5ZIXC9BWljjy96kVzR1YQDR9mTigLOQaeca24Ls5T+8jZcj9taCgYzwGHIM8qkltLBBy/LHp5UCFoebHAM0unstaV9voCuvHELDvMuTSzhaZm+Ddf7wbxdii+9qdzlLxJo7scPmGNAKO1mYNhzii7rGxXEuJ7Y89UxihowuUKf/aZnilmSQY8+dhGasxFvhUxqs2MCVZ2P8AxzT7Wix9u6fb32VBgF2yJAA8iKrwFNOIlHfU1H2Zfusql5mzb+LKgfC2ChJn6BVrss5Ob+LLXH8a7UIbDEzSuZfYZFcXfhQtf3cyxjMgr5rVE6ht01aB4ujXhPjC9vMChzPzHRQxoOEehQ4Vaabi/qnLmaTn81unSaPVw3OU8QBmgzA54TSWd/UOKGXS8XZ8FfhQO+Uidf77EoEnNfEjbwtPgVsAh0tALGeAf6J2hQNXKOV/qzUcF7aoMKdLGww446lXoZDX9nXTgZc5AA41StrG/qL6zpCXTlqbWmXnfoMVe+2xmIrapCzOjmuw0kHU1XSCf+FYWDC6sVdCu/lqXpqY7vxv/CPXcgxbjH3Ly4XvqndA8ar5+8/JVjORG3m/X9Gs/51r/NFrK1LFeOeWLb8jMBlkKxzb7Xk8ill2l5+Acq69cd1iUiuajtoVY09wlMXDNqbb5ZjCCMrxLrdYye/HFRrIWyRFi0ZGcvDfMfjQaVXi0XuvrktpJTvrcBeLjZiXCsO4/alghWayzFvI+6KUSODevxKyrYc9NLW01et8kelzbQWUNRTR3ll0bEyctVYID3UOsHzFTOIdnIHz4N+u5DeciZ3LNS+LD9Z7pYMOVOJY0fJjezkKsfstBC9vVQ4QJ8O6E001dWLQCG1L3lh3uNPS2akocBTQNYvH6O5deGP8zYrfO8urjsFjs88YNHynzbrnFq7bHlumXFsYL1dZrIUCrRivjJboIyOLUsrP/xKCKVQlr2NlXcuJu0ydh9r7sapf8SJ28qam9ZzEXgOEvLpoClzT1GbYIuQe6baMoNfXiQc0lcMLuxBzQgtPFrdkynIeuUKibZKC7o81H490u3pefOgJeQA/Pc5AADyM1C6SbWnPXut3VeD2+9vSOW+gAn3lwM080bFfA0gE0UgT66gp87tvk0dOWP6kN3MmsHYpOabHvz4KsLCYfWUkc0esdXMs503Qjrh9Wg+elkI+Kwdtq91UPsAyQ0x/A1TxV5lsqds80OnjkCd9xkjotDXfFIWbyqxkXh7P0eXSx1fZqMNo6fy5VE7NdEV52cD/3inlT6/6FnDJ/iei2Ee2/1dM//0ML8tq10Re3dUDbOkstS/mdlemaBXiQU2KfQ288wupUcerhoIPvqQSmh+t5utzpoH5Au1wVV0tWqoMSnlUE6Icz4zX0eTd7COdwfX/pFCwOpnPmDbhxAv/GSV1gW8Nw5e5cVcJ4NCQW5po0o/wyvlrwrmc1mLNt7lfClhWb0dHq5mLr0trZHwFLKeY+Au5M2gHbFe1edZXGv77EHAEj0ZDb9zbEu5MVe7sYMLx/kipHz+lmeoDTFQ9e0XK/MB7mBdM1IM3a9v67crvQ7Bul/cHjbF8Wzp8NvvtVhcbPTf0vDtnerMEld/YHbnnGkaD89WKY5gNonbIePL8Rc92wPeTei0u4BiQB9sHWH+XMrNpQwYf9/bhxwe2/xnsix/2wyR7NwIdcMS6vGs5vOXaiGPgbdsiJTr4EbXlROvnhIf4QgZ7PkR1K01co5ktRHnap8dAtK9ByZt7q/Dv3jIp5w66ZQY9TM6M0dzAGzv0B67SG2H/hPHBxVcC9Elb+Bf6IHidYa6mD7aMDzFrrDXhFqiLI9XbyjcfqDj8f5Gg90lCZWYxTGhAf/vwN/NFiHI2A7VpGnQff1zYzqyX38xfHhpyUS+AfmDLXzLXj4fxz7s2fZUacy52B9slLuYEuiovx4J2Bd6capaDva2rLtX4upmLGeJMdmue+5wEGLYBFE+OBwjc0vnkvrXd01QLrLi/6ZKoovxV2atZJUI0IuMg+pWH4YGZWVaD9VNh1w/W9QfwOsfE70xD4SSStP2auzO8c1yzyvuAeXMIkPVlInIEvvHCel3NNLCUx6G4GWvE8PMzMamCc+whbJORB9VRR+/jF+d54Bip+Hj2HOvtvKQaH9/5sevRBa98JTyxW4ksh7J+a2VE+Ko+E6MWxE6n1QGK01Yxt6QB6g3mmV3RozHkJ62TlIg7/vwNeEBahjuUWPrHlvRV9e09dBrj3+J3fQd3qnkb293nqSsH2oBpURSnu6vf9i0ctoCen1NT1IeRmgd7RUH6fA3UBjKCF7eeAPVZtOkii/VNSPGQUTcBZesYvpt6PpyMnlUAfOefFmX4+YX1s5szJ+MoX9l+vsv956lrGs+c8JdHvbFLncpU0wUqQHPPkJ+1Tp+k/73lZOfBNp9xCv9gD7/AA+va7jrklTe26Ztd0koOZCpZOeD4j3rGIQ17Jd5LtXjj/rajfE1rdCzRcWYC+KwcZf9x7vSUU9KidMvjZ181LQaXmDjnmorPIYHvAUatzebGN15gYVMp5shlfCgVrsfpaxmobnrg/uGmsXrUHtOjJk07KaWj6gPhwiZP8NGx4cq5CMYWAKd1HPuVXDlwCrhXJQX+BDr7xzY9PNo9gvVK+cSnfF4uK5A4acQeobakB1p7xiOb5S1eC3l1i5cg+Z6HFreSJY43a8PMJuvg9jTwBa/KjQXpt7flEI0nge2I5Lr4QJMne97c2ICNhnIq4vRJbdyxWHfD2t2piDnErU3P7f84dDl4N4rAe2YOMyUVFEkPuh3ek3pqeVBLio9LJEYdko/G8kXK+A/6c4JvEMpAatNLN7M79zpHRuuSjbWYzXutxPRWO98ARf8X8nVmfTj4pM3e9yKL1Jqn+gd9zPWv4Ts7ebG+u9ZReC4tdSWg8s1aIJzxia/6qy+SZbr4NHO+dhq0Hb46SuN3Bs4K+RagAbK7/53F3YltnZxHvyIB3wDPHNlamrtVStv92tIHvsrmn0aLPSMXst0d8tYzv2bmH7zgkYR38dX5nFVpzlAoI/wC+09f+y3gg4/d9jgP08nPo06/l23jEwDq8Zwg9GrG7ZqUMlYtzYWZsvC9pQX1Nn/uPNkq+8IajyvQ4lJ1t/KZPjv3N3vf3epROPZADrG0rCxU6bp9XpnMPYv9frUihk6zaZFa7+Ml6qeHdoML0XNn5lfTyzqZZAO6+m/34fJQZ4I7ZM0FVrxYWpLu8b5+FFQIWJZl0bEQBz3AvLV7qxcz+4qF++SyZHrwJuN+PtPY+ZoiejafNsFupzt2KmTyuUnO2l5d/H+cJfbdsvQAfv9MNvQMPHw32kVDdqelTKG6mbkQYvwBY2aQws6LH/Wuf7QvwCp85exRMfUB++ag0cRg/2HBv7wbX0zG3YQ39NIMqgG9IFbHrOeAXaepFYzKySB8ri+Q0XB8ZlRDv2NQzfKgQm3k2mwg///lUQF70RJCsxP184Bib/cIT60l/pugj3RIv56DX9WEnY3k/l6ENmjnH9t+HZIcdFe2uGfjHGe6+ZrhM0cVpeejIyNaMG6/Bg5MK9fOq1Vcx6N4YUhHj31m0f8/dxG7D9CniRLSQslLKbdCSfet0ZvZwV0PcSzP6kSb8HOqEDMkuC9kzFWsgRm28yKLUOgB3+/ssAF9xkIQvXQmcWOQi3Imgi5T2vxp2804usWVAPip4DuDwbye7ewKTK6vxsBGxc9nEMZ4+gS+nd5AV39XUVWrDI/DOErRunDr2VT1vT1zm13Tottf5V7rxbzUafk1iTLGlAuM/mXu0T7e21z+V1XmZ4Dsy7C0llhtotKscbC1MHRhgOp7kT+2y9YzaK+AIvPHwKhCO4N4iNiQ/GPjPv14YZHxKJeTuz1UEqGgQeqdBcsKCT9LyAsGRD4i3iIlkWAN/Nj2tUVLTyPRAfm5iWAnomzINkpvZe0yjTrY8CagDmm0avAbu/oVR+biDvIFgJfLMzKnNqamdZVYaEVFs/i/3hBguIH/hirc2HfZBExqOAVyZzx5oiKfxiAWtGwDn8VomNUUyqwAjq9KPpXOw/nEbm3tqYruz1rt6vO1A3zoKcK7Z2msmdnYWyEEM3ZGMwKNQ7uX6cC24HxONJQnna1Pi3e95gyufPJC+6dpNN3YXpb/CfR8BY1/a/AA886tF8zu3lfEYW7OY9M2U/BDRmVm2dhGSC+g1wRzNzTy3ajo8aZh0NFBZXQJ/oAdXxpDXe/aAr73LInn8nfUXyQwwUXIAhf9eKzxtqQc8k1KUdMzmXxnEB6bym43oA1M95GzxgVdhptG17XmmQEnwMjlWJVCqcl542a2/XvclZOj+81qEUsuvP2tazg+1ceAH/+rZbqkz/4B+/H9UnWtzozyThv8SB5MafxwCAmMjB6ED6BsgVzAITGxiY379tjKPs7tVO7W7885rY9Hqvm6pDya/KZOuCk9Bb9ch0mCrHyRovymToOtQWUVydzI9tyhBwAohLZLvqreftY1EE/CZw5bDmtxFHz7h3/M6nCkFPsz67avGZ0mRBkbUmUSyYCFq0x4dwPfiRhi+2DxBG9GyJy0WMqtc/cW5hufBO4g/LGP6ZmYl4n7709Nu78qvtID3HiCa9rtFDjbYB3r1gz1QXW4I2ENGiVc7OD2G2WL8LBfbI/jNYzbykffJpYF9VkEck5wkRIRmTnKXj8AMK45BC4Ev6Z+w3w5ALHE2eF/NgJ2UEQvY8sUAtrRaCewgiGHQaNEimqvTeYubmBdmXiSs5045sDf6uQOWoEpc3Dzk9xPDF+Ki5BRNz7RXlEYoNXP2aseeG7vdpUWyqUeiQQO/bH7DgA0w5YjF4EOZDkubSy50yG2/w6Ch5Nr2eEVP7PK2AmrPOQpgr+aZNfMTn2g2tEnekwMRmjTwPg/WQqpIJ3TlVxEAh1j26yzlIQO+y8O5xUOSsGF3NU3n4HdGEEMR0fyDCW3VzuLlK0/LEfy58VFav+c2UBD1d6eR4Gok4GO2CIutkKHJdVU2C7clZuWz7pfXrJaOhzPox40teXpV7sQaa0rywW5rW2epmK900C6LIIYBz1ehInhsj6TX8H3cBe7ViiYIWM+RzrQBhn1ykTn753ZmbHssQZekQf/KqWhhj1/hc87ACB7EcFaLTwtH22t93t4biKHK5DAViXs6z5p0CariqQA/YzfW1hZayaOQTxGUHjDKkDq8VWMLtqI3Tb7t05C/yeA3b/lcOWwRbPnYrzsX+NAmnX+rguwJXFaYOkngloIDQx6LxNybPzOIkXtnMvdKOS/8N1FonBXg8532G97pWLLbkoJy42vycRQkpw5/9fvq6659gmXalcMj3G+ML72Czx0Vn95B14TY4SXs88r0caeGW0PvAHuyV4ivDVdvqWuYTmPgpbu0sntuLTfmhJu8aL3G3l0bl79iZZKBz6ldrZmbuMdIT3IkwK67Z+4m4C+0uVNI0sjMgPKMViamBxcQxVjxT+9IM9gnvH/l3JK1LU9RSwWb5ioGu+lnczb5snnCV2BKx25JtE3zEGxC2KZHwJWMyYP3t4W68nIU5mzaXpjGB2CqB8SVG/CklaOEM1t/5x2KgKeewGEz6FpMV2ILUzvoLF2NkpeGNfk3GcnnsRlIdbClbd4fBr/LReoazV11SVhyNJ7YDBIEb2qGYZ228ylGN8bVM7UWe28ls+Lt2dS+UBeY35kLoqcn7achXT9fdlhge1qFwJqC/zgx+ys388xHBP7jYfIiNIuknTrhMx1ICExwNXW/h+fNBg5821teXv/UBic4Y94e4mpCGLwX7k9qWESuL+vB+e2b+tPz8WB5hUJmIrZ2pWtm5m5b4Jg7Raow9osdck8h9knhackWxtyWYbddgeVNn7kEfLZTB35iavSVtXR5tI2YLd+bnx6iySt+pXT1B6VlArZ3g7hd0tj3adRaJo+UF9N7bSt8CkF3ORLWhJv7tUTBE5leyyyefu4FTT+w0sx5D60H1oluOvShkDR1BreTUL81xaZHtOSgGZh6ytHsD5vkMaIV6Jm8wCmJ+RG0d3dC5B04irIe+7gjw0ksT9LzB3i86JRvgXmRqR/anYYM+A9HTTzZAiXwbNmrV7BHe2l6ip8b4B2TO0MsAvaEyU9PrfWv6bs9g7bgDH16osNP4Pk7dtizjnfO3v7rSLE8mIs4H9tvYXqX9bfHwdLhkc2wN2EvxS87NDUIilQOijKm4r1NSFO0OWPyi4cXT4bewBgJgNmvKeifE0e4AhZP+y0o7AmlXRKVbO6P4bJThfxSbPsUyJfAdxBn7aQERUg7/R/b3OxjSEIBPhOzrX8aLnZtYTuNjJdB7+DjNgfLFtJaypSl19KVb0feZvmQ9Aypt7y3v0BzjRihTEbypjp0b+jfK+GtjaPPu2LTNQ1/7zgOxuecUFvmSA80xG+MfTocdE1lkD3UunLmI+jyxPRN4lrPJQfbY8Au3ByANXcyTBZwK92vyQViQ4sDYjWCP1mvrGPAgc1/+bAF/bqm+R8X4rbJcbyDZgXbT9bsbGpUEeEFlk2YgB/7e+f5vDd6oQr1lxSXO4mnPRnRA7RgpBxPgMR3eGhXtbV7AOu4PFoKBuz5y1Gsdbmrg6pHu8bV92wlENc390p4fT0sG4ghvhpUj89/vLyTw6lfbOr6ZWP69rBtJ52F58i/UCs55uzyxDw5ZL2HeKRKMWzpkevX+UYkaHsEHw1cKLGZo3OMSHyiocty8EMULXvb3KPZ7zIC3wqsk48Qe2L9nbkqxaCDgEdDNnig02eSRw8rdcmRhaB/OvVW9qg9sd8+7V/YNrP7sH+KGosA2zRImvnCXo34Qgac1uHW4oMXyVB6lbNcOAMfamYGivYO2sGRBR7ywi+VDpc64G29wi7VgBFDUjZFau4BX3dSh73FPB6DJgv/3EXHvFOBitwxPoCE8Bl+GpfO3mpM//cnBz1SByjiA/xfYrkogW0eqAj8blb321096n0eem+lO5nZPm+lSEzt5uvsC1c934BPDIFp/psPsAxq2KwNxGnJ/5p5h7mZ8VRaisL7A7+9W00dlJkZWUd/NmAXjLgkr21/FmL7YAUwaFE+5Dh12Nr2QECv/lFe2fXOT54yar+b0d9zKk2+XslWeN9oOoOv9oBVzqdI82PQemYO6n6V3xipDhjyorhqa0umh7WNuZ1kexddacivJ9R7mU3Q3k5e/QGCOs4cYtnw2/kM7/fCVx94LwNbSzdNjPalRiS3JmHyCmpbijoi5RERF7j0DezjDD4C/j7xa5ZsmGX6KEwRcMj1GLWPusf53nq82CZo1nYnAv+aWdNA7ERDzEdqbcNTmFR8lbLRprfkdKPDBDpxWksrfGT9YuXhkjW9jIB9Lunzz4avzMzSrmANtBrkG7M/7zhOjnRFr5kmX2A7mxKYpLJ0ps5zyiN7bRBYYJz0h1WmJYW323066rztGzMHi6vB9OsCfy0a8QCNN2WnLrUYu6y08HeE6lzGKinF5DQaRaz4rV2a5XNmRz4loJUn8FegH5WTO2gnY+NjpyBf/15Lhm+N22LGdkBbvZ0XoOP19Di42gdfHqjRX/n5Bpy5zOAdP4g76dP7LCEGtZmQL73sHlmzwvMnTcEPIpA37myj1CF9aeKKG25OAbJ4p2Y1IN5YoPc1cL35Y+pdn3OY24hg5h2YI6Mm0rNyfWb6wea9F1cD6Hkbvc6+7tLGvqkLwJb3ocBec1feQEMc0gCluZAR7F3CY9SDjQymP2FNzTll4zYOeRdiYXTUvknhlH34OKLpA973O3MeD+XuLPBs4LfRy2+8m7sRJlKLOzamIagrilaMJv8kQEdG3g0YbQIN3gEffjCEH6KQ+NTbXoom4P1J1+Nfp2bTJLj+ODim+2aLeUh8HG4j6RLQgrsXR9nNCM/6byYJcLWyT2LmmaPGKlwuFWs25XnbAfsCQ/ysWVwLBXG1X2vWWxC3gHUfGxYhwcXG9I1bTe/GzMVY2ckdR/hD9r+zTUtTSyZRaYNmL8H3gM9Ybjz+u9kDO+PB5A54o7L1IAS7ZzzZqJHESuxAO9iRGrVFUOvvVx/iOKmqAP/0mcYoXCuXBKk1Per/vU85C/bnkWv+XfZ8VQghapMNRGa7sksL9JBVWeW1tjTKeRvlXJnc4ffcRaHp/UqNxnVMXRrBP/06TE5iCIw/YJY6UjIza3V4zZW+bVShFmLqGy3QmMB8yubAyNm1Mjn7oTcBF7IUtSEJyJ7GyaEcWx+j9gnrORJr+wCtKpidLFQn3zT/Yx0c+9AUapVF4wEHXyn7PRd1IJKAosVurTMbOzPEDwKiIwHNs/06DdNQdqiri3A5uAiDjixy1NspME8eLVMqko88bCeIjf/qYV2dUe5rWGsnD3deCe8yZ/PrHNtW6Gc+9kMN2w/g4wXsIxKi5dy6/eQVpmN6rVz51fRJhClyGzbF9aqjn/xstrHrTgV0AD7uJa2tbVz2s0UdDfuPn7OCMDKEr5jCzJzjfMDAdvrBOp+TjvSnTn6zMdmDD4XYSyrQeLx2HhulmZPa5SZd/T6HLdJw8AHI31eWfavsn9m1P/Vkgnng5/yAu/4H7O1X7gEFJUZr1rbE9R+paCdWTIGJjLCiHWVeSyP1fuRK1qB1j5R8NV35FMBXnMHe6rcxsO03iZLHiSVfoMPz0zCL2ujo3lpFtPhN9DufqOSg/STsRz4sOe/nB+s16Dxtg++9Nmsypxr8relzDHG0LNpeFqTIwBvnoPPzSG/Y+21TDqa+mtimT7McLhY1eb+FrDgwhBrSV13AKin+bphnelxYTbR9ZwwfsbCPOdhX2akHdTK76bhrZhaXvC3T1czi6L29Y3nU8VjKTE5gMpqcZBE3VmnZHfA5yQrZsShpgeleGjYlSFKIQyC6zCxJRI5Im3nbN8L1lYTqBhqUZYN9KweINww/SKcjxSDKFyTPwe9JN0lP1NSYJ9ExRAdmK1gsdSiZmQO/SFiv4pdFxe3BURIwF/RVZOaD+rAa/IsgdKtdHwhnG8Ee9eC7KQHfbebIVRa8P7u/Nuxz0zDgs+DvHZ7nm+fbFvbYkmmdA4+4NWpxbiev/Ki7et/OaSgD8CigvbN1b80R6UJbOniX2ag8rCpVXfuENb0ewLtL00PdlRlBzMVsKkQ/D2n/534K8NnYTv3+537kpVd3pl6FZMxU8fyXUwHaDGx3csB/xRAfbDY27rH4dEA3P5mQDzykHqxFB775o7HwFxfoK0VqBF90/9cjzbKIWOycKQnsecuYfqMi6Sn/qYeoiNtGv3cBwB+StZM5I8pW2GtUhniczqAniNRtd7CSvjI1qJYdMAfer+mbKfTIO5I1z/lnZkY+kj7ljc1ic2bAn01k34Bz3nn0B/SZ/bprs7HLdzK8mflshhM80kO87OeVDpul0eQL9OQ1Ey3oR9MLfANxXFk84FPO9JmANpIuDxqIk6JLOogAtBkmwXTy5L0EvZGYGXmvvOU3EX6aeVvFf2cGKx1VV4+8Z/3Pc7l7eHbTgwB4yfRQM32k4//qbjxFkzO3Nmb/ecCYT/zccoiNNnm/3dPu0zO17ln3e+bwe3Z8Alus1tCphukDOMcSWhVkWCpuyxJ8EcMd+q/3m7VCTJtIjNrK9eFdcypQucD++snHzgN/lwfS9J9N6p/6VvKag7DLC1hfSz5TJ5lqamZRLaOZg0pHk9eKSR0jQkULvpXzdLDd2kVeFUie03avLPUmYlOnYC+iQz3X/1gVno3An4NCoMUFeTHbwsDXNdF8xYMnsCaZGNsPeL65Dv7CZybgCbxDbmZGDQoUV3klzOQs40Nqtwn4W2R6HmaWnvMV3XmhSDYmFuVmaqOZRd3G9fibq68rixNgPJv12/dsTayjSH9mutT5lmYjoYzyrGYyV337wcVuPTgqzru/TrmSYx1533tbPX5yioDRqYO/gRVdqcOn7LdVJdqeBT56nQMcbDwAQ35w52HL/mKLcHqCVvM4cKkKvYzm2y88IC07eHPvfyz2nDekkPkp0GnuTNeDZT1+z9l+zr0R+NO2gv1GwDZZyez+lXtAIo6BMyIzGySz+AViUUIG9M6F8pug5STg7zicj8fw0xFBu2QrOFZmZtzYx3rAR8oeXhPrTTa2o3KM/4c/Y7rUjG1k3BZNgfoXb/C4tYElDtIhg8n7Og1JVfZTVVrLtXQ5cOl2OHU8Y2H5c7dTR/oB65WWBQ9xABir22Omewu4eNeAtVbWdsNF8yTv2y/g+SEd+au3sw/2xkFj55Ql99rC00kkR1n4AtbEKsdyoUw9wQJhb2OdWvP+v9nC99LMcGNeLm0/pIy80+Fm+izlPJCD6PAFR/Z7GsCO7ZO311lKGpA5H7QEvXZXBQYeba6qQx8/dc9FsmDTO2eYIRZa93SQl6xPWjMn3fRQOw1/nIwjvxp4VYFeMr2J6yHZlc7OOpmcpnECRkMv33tv3NAun3OPA9lyu/3II8/Le2upBbDNyFP47zqmVwkzc8o4cEmMzUxlInvryVfiKJ7kZT6D3S1OaWFSQWwg1hSVQsWgBc4Qh159iWNz3pt1jZMH7SXlqGwGpRXoDNCOhzrUc8n4EfTFlQ/eRUX8SjV51k4iMoiPuQOxz+kfNJo3ldiY/kvvOZ8uKlQsD8jCwG8T0HGvWNn0His5drHTmrwITFb/nAb+o4rsLyE0lS5KMoh/ZpZdE2XXI5MeYZrt3XABnt+zwkfVqrsS7K62gMGdbQy6adrbJC5Xvz1p3P763h4Fe2cLWiCzjoFyWHzx2DvEP6e8H8wcFHP3xrE+POeI0s8rxKVSCiky57bSmLjAG+/Av7bpU8yj1BbAEpIyl4xtx5m3OQn7dccx5yM/40ALgT6fEJN0PrTD3tJCar07aV9i99MDYn5nzz/3zNqCH/u5KyWgUX/uFLkz2blGrrE94KcFTIXxYXKY2D3M3R0P0e0Vl8te43yQpm99kufbpwK9I/pllPn8jgdm763wWRcTfA7ypJlhGKHupFUr0bTQfuuwjn9UI89MBRcewmsKcZ45EJtj9QQG4I1YXmewLbYmS1FcHKxlD3x45VR+lzbxsg68SJfAb5bfx3ASGddtbnFfhhrB+01o3zxrpA/kJ8+RfDfD5132aK4B6FMbfdeD6SqAbbb6L8aGfTyVlG2/adQCj4OOdNukLi42ECFugDVAX33UA2j82OcQT+e8S3rYexAzeKu0LNRAwuP79noMTN+Di0vHcKnobi1H8kWof6Tg2l+2QYv+fkSfK2i9vekPChrIUly61Jo1f25RZc0cm3ObDv3rPRX89M4B7YCirL+5wNsdLj43ii3eMf/jla6uaNG6B0c+gB8eacA3v/qLJ/uT6XPMtEeFeS62VmfQfyEx/XnPrNNaDFsGjH7lK3OBW01vW6MxvtJ+i7jNzJ2QBL1PSZAkacwr4FMC/tvUV6GKklefWyZ7fN5bjekl4MH6d2nffu3X1G1GdYV3i4izDE0HuqjjHOLcI2cPSxR4PrEFnfrFrfpkbUIVE8sbuaUmjkyPIZIbXaBcxRtLv1jUBV12MTFCWgnJKfbpQFhmzn4clZfOEtXD55WxJMiKnQfaE/S9CpQlO9BqVwUMZXpR/Os77VMKsfUUABMLnfJYglz7vB8s9Lp30JJtj7TTE3Ddm8z/XGnB7myYZyow6LbmfmSIVgIRTtV7E26vwOoo19mjcZqVu2bOM+gvio/8ffuRo3Zo3meT83Q/FZof8/lawWe+dEq+th4fmFdHaCGmCw/V9Pdc5l//QlNX9S1C0+8RDVUMG6iTJWHeR86Qw91WmNoh8B0B5qbvEb6ygvtVj8a9zSfwsa/8Q7/KZ5rCTjiFvVMHPXgl4uYRMBHo5v1auvDMDke4rMfs2YTLs3Ix6HF1xuvfa61RC5yAgRkpHT6tdExYPoZXNmBM+4UJeB97UEmv7+IrvzYDv+Fh2wOTLfv175K6wK42CrGYrk3PQRdN//VVRTdGCUkdvdDOn5S1rMd/M52sn7lpVvIoOb+Jwe7rweSWTnc+/uYSJ1irK7xt0Gn4bGoYDddyl6R754/zM7ckn00PQBdiTCRRG2E0XWRvozSezvs1ex7Bl/6n1a+58HziNI9atGeqp28K9nxwf3tVfeRUvWHdLsd8u6qfOnc8wZsBVZ9d0y5dUz0tpdg+fvagmTnynM2Mc/ANvYutDECLH00vcDH6HzTybNCia7OiZ+oSJkI0mDPgV36U1PiLWrYHv+WaxupCWf9QFmlzMY9lj9/gt0kSa/sY2hF1ti7hpU3jv27dkRTeVZk7fA9xApQZ2ohCbmDPFUwkEKfUndl8rbh6fVcFzzOXFM+w7oUUyS3jE+hQ39zvTbWlk1yo8GBxJCjx91b6oGjyK+YFiqGA2LtHZSUJcZIKmIWfTK66q5Hg6L2K5cbc2Uln+6opJg1DJOv5QvKbdUSgb6wJSRcIoyCktlpPhOVVhpP7k9/LSK7c5H4yczCsNuIFLqtRfoC/fKNr4/7LzValGuV71bc7iPYbiPevOykX/MoFW5+OuXumYlsBv781XTLngpR7B1cp29JyTLLMBU143l7I2nugWUB34q/6fLN/athcxcjg5eZ+r6a+6T9gzqeWn751CP0vAwgeEi4Hyppn1k+TKHRJkJ55QT548Pe5t2xk+nFJSwY59S/gFR8AoHvBielD9y6C7FGhKYXf0Jm+pA0zvTn9APTUoArt8PP2lW8T5C7Q7cBDYLwemwqmQt9gTda9m5g+kLdqxAw0GuVsKcxMYohjN1NHUPYzVav6gnX5psx6cNHOlTOFee/5J1N3szYbGSQzt35nB0+GP/MQDMr+u5QURTTqr7XLo2wF7QX+FtvtDQtpg00Q4PaDYJsN7PkAGPkdNFfbIC6IC3Rw3saCAw0PswcM6tCOd7CHbHClLztEoP9TtqpJcez9nGVFMq0cw/5zztgcZhBbG7tZzfyKf7WarUz7ZEqHZNg7zDoNzf3EVPvD/AEDhiUhc+WN9rrjiK0C/MSLRY1vbdwW4R7xzLmYOl54UvuhxtT0SJDgZ2ZgxSXN5/VHqyI10BXvKogz++cNdN7yfRr/Ps283xPCaaansIT9UemdV5l6jzB55aY+gC8d0BZp5iZIFn89xWA9guQOGi7OhVzTQGa0x7iKZmA15WZa3TMGXoXzb+wmfkXTB6MJRDSJwDeB7pwumSUfzEkSIVqS2r+5c+bc78yEHoFBVz6295PwPtJwYzc2vmO3HcT7NgS/+2Fyapv181kOSQ92sAHf84aFusBeRWI0/cbUpRL2BWxFphF8Tz9f8l5PHP68GICEielh/8iGbWxm6hHQRqVAfsblR2NLPw3B9ix9yxjQnJ1AXGzvudA8W9td6ipT0dpLa1mAGUbVSzNf7qvkaAXfpsuBSLDNlx1S4M9IxaGVW8vbqcN92TVgew1o2OW97PitPG89EXAkw2136i/OweFFA5pVIfwsu+S95nhp3rffKXAx7rCdxxebFuU9f/9zxect2NHy8vMSF+35VCR7tmqN1yThzp//p39/7kItjKQNPnmEPR5iiBvzs4kU/Oc6EEES5TZHuWhptsoI88TMXgX49TDoFF2J5aXNn5mTBMBG5qa6rAo+7k1uxk8vP/nGht3mGMipshWpIDafuP849d5IA+Af+KzUbu5ibKUYLhsMWjQv/JQWECNoi1VPSONKIKzfGlVZsvBKYvB2FrBEOKPc0S7u8bEEgqBcuRXTZmbZnYpZZsx+sjWBz5Rh2Sf53m1NzduAjda2QJ/025vkckeCduViyqS+eNT57dP+qHuUn8SMCVu+wDYeDdUD+AnWBH+XE+VdbSuI5ck3/H3ZjLuNsg0DZCs9//Tr+OlrLLTvpJ36yWuhVgax+C/wLy9p9HDw/+YE3tP4371OGnqICfuaOrOZq7Mcf/Jt5JJG6CuNiNsEwFjvs59TFJfP26aKWmBK7xvinZuH2553KWiH8mlmhJ3ON7csiFTjxQbWf2lzD4jVAb38BjBTYleNJ4ixB9u/nCJiYwd7paXCbJy+j4H/TgSf4bNiEZKSaGSBDSySLQv4rzN2vKwa9AN0++4UJX5mzRK004Z37Hc+LHNIyyJ7rYrpPbPbZzbMTEXbgY9c5IzPpJ8uzNYF78lXVmjf5AwKBo54bP1j9FhrhPyT2A4QZ9wqaAf6Djof7R6EId4UoPtW/3XONoJfuwvEGdg1YfHnAqv1bAQZGmA9+DyNXdDCvXaAVSrwj2U+tvty9J+1sEdmEUCc6b3ulQs0StTPfY+NSWhnmY0T3v/kjr3ul/ec+qApFCIWynNLgu5QbfOcZUX/LnJoM4qQx612rUI1spHMOLThF3+6yvSjtXTH+jmsY/+bR3LPY/itqNykGh+Vvqz1iFdO9WsN7dLZiv9m2vX4/eZVMcokCh8nmnzJ/s9SDl6c2qauVILub3mO5DEftm1q2SF+n9+U8FgTw/sspq/G5u/NgNjpPL9xZvoZop+z6Feuo6npADW/5tGSViMqKxdtmmhOpZhj0G8fwDo3YMSUDZOnOnTmoLlOKPnGED9Oo/quXbLUDvAW7C4Zf/7Mmzx1u4U52ZIO6K10fnljzIPdJg+lqZXf5LyVpZ0s1Xm74wVQEtLvRluD/3bTgS3sfasrPT2OKHOr8+ydhN0K4EnOkxF4uSVFsyGhdCG+wpo+FuDDTe6++sDc1sxC2HSZA72SYQZxHqmNHNiViOm7cbaHOuw3XGtfarAN259PfWhDTMwVSt18Tfb5CM/EmoccS7fsQws0TSrCx3ISulWofWLr9sqBcYDVaRq1KY37TePCuuTbLyV6R2iSlGyamDBnILoTfbs5Ck+Cvfo/M59y049QxmaOdW0tOnUej9z53BCHQYwrPbCrPBvLVVH8yu9dzCw/2v+BddyOpEeg7eRaCQt0fLtJrc+rEJknNWh3F58Vba54zNxjfjP1xyyljdf0ydcpNp1MuC4d8qzj3lYuMne5sN+yDQNGePEhpvr7sJKYBNrHzFvzAK1kxTYBfy9d38X8087G0Kn73qocud9DXJSxSqXdakZlcGTNlbNwVWEynkLbxZGyy4LjykKScH6oou2r5hF8ZFtlYsLAcqCnuemRUIL9HRTSAXCD2Zs73vNQOtyrBrmXfegdLPudRDw35zqn8GEZLSGQvMhRZWTVPeZoJ/vsKiL7rCAOvPKI0kC/g49naRc+1ZpceX977l2e0CABm/HXlLZJxnEKse9+DLNr5XgC9LyA97dUw9YBVmFU6Bx4a8eFegjGHrVj89M4xRnFX4S/Zi7Mt0y0l5yFD+CQH81IUWKRwie5mDyqQ0sEzANNatWFkseIHw+rPFdjfxXUaBQpzcwxXiRECdMf1pwp4Ag06QZ4fV/an05mo9d57xsTPMGx4sAxoO2SL/Lcfp3YhCrdpqeAXEVvf/M4eU8F/gL9+YXjljVDu8C//9hbXnwa8aFk7T2zy2upJ1uE9jcwi7kbu5SuLGtOXrzhsmHjyPebmcV0Je/b548f+T+8wSIs2WDTqlfHve1fszW0IeYEEvidW8zccRcEPHPZ+U7NmFcDo0J8WtQqEaz9/f/cZSPCdMSieQecR3LQePDZ+4O1+OBXpxPbBizGAby7DcQCM3EdNKcOlDXhqpCH0sZvfJTw3kwOHr+D//C4Y3nqZ44t50zglZy3r9we0FFt1/CLx/nnw+SAkNHM/1JzHYL+jpJWxn6SBm0Cmj9h1MxFhmczfY2EvGTCzhsH0/1zjvFgesK3EkLundLGqkE/Vq7/DvrzVbtkmfnCLMrueaBZKsiSIzzkDBWVk0g6YtqE0544kkAsThtEQgU6HuzOomHqnCJcpmC3apiXSstZjLyvnSSF/eydup8Z16Zf0useFvZtcmYF2mWFwhlDwCrJWluz3Qw9kFTiw/u20q49czcRjT2ZuRJfdfd5PdhqUbq8N5Gpc0sIaBUzl+69GtSzCsklHTN7v6qf+pbXGpJO3zNXBSYngkXJR075W4r8j2PkMdO/KGOZxVctDEexsP06AePWCOIHJVVK07UBHdHw6d3M5pDwLJKpfW5mWbgK5yHE7RjHr/PDcvWDNEjKfFjKOjT3Z5OZdRoQgQ4Quy4M+XdguTYNwkVFU06iVlfcv9DQfi+HWaSMI4qkpJZhSu/OLOxRpL/qQPkcJXYdktfvuoiYnE8RCk+D+kqZDbF0skgEe6HXe44+N02AICb6Rx7j6WBfVuCldf/8Y2ahDaBPylPMN2zYIukCtAwqpnw6Yvvy5MCAxj+m6Pd8HtYzAV2K5YnqaxqaemsSNV1CgeN8wi4O8AWw7+6aDq2DHaNdOals8JQrqRqnvdfDvAJvfaVxsgITA6+rSUZkp/pEZx2ZIIb+1qdQjUI+tKYXPDM5TsoBVhGTQ5g3iSh5VyvYGwrX/QoP9dxifL5d946+w9oOsHzZwcEp6P6c9OQ7j5ENsSBUHDgMODUffaAb//VdqOmlVxehd6SqUAJnIuaFAIZtOAaNpDegua8pM/0AFuBuM4stXP6/jkFZZnKsLftZivlKQqMX20e1KlxxUoJPeN1lRzmfgI2mNu8NCaTeKdbBieH7KZbZMVJVqZMh5/KZWrdrbnLHGfmWhZz2VrNpBtBYveJq5Dod9KbUsAqBWkW4Mb7pmSOyh9/y4sO8Br7KHfJGwOYyM6/V8ZzcaYG2VXKMbh7v/t4zS5WmD141oKwZtSYBz2ujrcCKmO6tzEp2NFBpCXGtjk2d3UIriKPZ6FunSL/usi2mPzd1IVepkdvQJFSRxhKZPjJteKLwWynEhb50ZOBbeYEF7sx5PPGwSP/TMSaXVb81I19Shmeu0cJ026fW5t+9uu2/cpaedYBX0JkxibYtES1vhMerKBmAH+zGkT8zlqmYRhzrIzG5WsAwe2db1Ui1B4cZznj+y3toPWACHxgUdE3iNn0LsZ6DL//N1R/wWm6U9t84RUfG+U/PaaX/urgr3RPwTRUTMxMU1sPcJ5p5YKo/FfAdMbvXvW3mO5nZmf3entKGtetpkEvdPzw2thAXJt9o4NdepjaKJNsCO3lpVaBv4DqI09NNUD8ytVYs306nEGHTyyl3ZkZ4a3JoGKWJmU8HMYdflaN98KcrY8TkvyZgKXbGeAL6+cPULL70MtE7L2dLlVk4yR1VCdqSfGyAmWa34pinEKtYeHNO/cLqGPbvgEm1tm94LL009hmBWEgZd5vBfqihrcgA8Wf1c9jfHmc2MIZ+2SHEo/CR2ck7Rv4CnAmMeLFE5E0k1JHgzYYOaMNGszHmWRV+RMOkqDUOzAwX4KqWsMTMjHLhO2OIx2Httnvgas2Ctjg8/5ie16+8FC9dzaz6LVcQJzJn+t47shNiuzTd5x18dgS67pLpCTTV5DRWGx/cKSrX/l6x7H5wVWhyBqWNzBwPYe4ZIfYUxGrMPSSrRu6I/jdv+f6vr/DrHHO3ZgVosGGb5UO7S+O/FsR3WQEHgE72gOsv0p1uR5AAaaG+qn634hhRc6YP/jrMmQRGwkUVphYRW5k7wDjO47dvKuiBJ3W8C7W2O6mbTTnwLC0+QSMhImL/iC0tSM8PaciBv8gkx3BlLq/ksLufQuMz0MbckTPHfhyc7Ucd4wu8r6vIwf8N6v3U96/zwwA0JiIo6RtOZmlfYMfgnEcbO3Nslg2t6YP+oA4a2SrfGna5763tsQ41xLZF1/08gw8QpTb3i8mzLIDP4897pbVTjxd43taVtnzVcaw0mt6Vi8E+eZnbU9cMC1ZIPojGa61NjjJm1cqzZsWm5+ha9nyzd6UDOlqDff/0SjfziTgKl597CbFgXCR72OvnY6QvDOLr67tEIO0fv71+PokzIWWFRmeaeYbfxMEjBv4kIV+b9z8rcS9P+Hz+k8MOa61GYp2Gx4KHlopwuaVCn2vwMxBD4X0rQtnnk8bZyzZSzP2zigk+uBJ0O8QR0SzHaPFklLxlrrlTVF5pzV8MdAPr+yfYCfCVvnKdpCKWnI/phsXI7P1UFJNPtb8eEeyNAJgU/n3Zydf7SriZxaoTiMHzB+8zC+LQlGru8/N8gHhJKo5SYpvaM5Mv4TtH+FU8DB0ceYQxJHOa3BiHOHHeVqCnezkgRwGzQRzyYe/wnP/mVe7gmQ/S5hNoh0PtqCDXScB6yYmlnzlwQd6ht5yqPA9h/yICeo+UlfFTjHepWI6ZWPxcgK30ScLG9Mk6gDRLclGYGnXyVUUvjprPwP8o6+U7rM2DMXNuB59WTC7X+EsG8GyBBH88h/CbPRxoLt0k3q8JxDvTZ+rTzFXysi60j1QLEezg73DanP+YOhSrZDMuHXT+1V8jWL2LvypHecT0LY1111g/PZ+1iICX3fIONnmt0ee90fh2FNPbMdx2OLSex3iycD+J7P/lBzSPYzFVZtZWE6UWxOpXzcg5j8BFrj7iQqODdbPBp13EgB0W4HsVp3dWmHsq09tZz6pHpl+jzvSnTUN9O4alxZF8VtbEiHNxeNzf+aA81WEseRKJGN5LpF9sswdfxEmvIQLtrrRnpkaJmrp5GrRDE8hz6SzXvZs+QC+Eol++aUQs0Kkf4EeSkklptIVyFTH9POE7JazbVdp6Mv2eMEJlNbKXTvlurMcC2hL4IrEY95+n3uvNHArQ9tesa1fV364CaaDqqaPwvkE3WQcLXzBvwX9OYeYsAShiRwp1TfnnAnFoqOxpwuE2g8hrw6546RTRIF007OaARZj2zgUfFg1a+In75EY14adCwbrxPWatXQf+/JOzF0OMdtm1HpnbCPRsKLHZMOdE2PtKJFIBRzRAiNTKbIb+vnzUU/WLd4z9gQeSMdcXmet/yGGZU7Z8qGGxD2u6MTGAdnzGg3r5leU/v+LjVTlHCvvN1PQJvcoBfBNvn0dKUjJMm9SZXnkpN25OhQtJavgeiP0PponpLQp6eWdhF/Qss40vLLG1LKfA9/kgr5L7dlmA/wmlA3soA6b5wOxhgZ99x2xZMqp2J6EOmTs9RYdefWB8suJUrp9uHfuZmcNMB/ako+/noL/AP+2A43aUN08q0BH2VQT+XoLubxtLgT7xgZfwgQk1Ec0PxAVJ3CMEvFhKrn3QTiGPf+9T3nCAbNW3lyoAZxV5z8q5PZkl71WRpMBj32Tlu8pG78CBTDrz4VQAA1Dcc7vdMWt7PorZ9Ke1qljdgSWWHLilKfSF5HNE4asrO/FfLMqffx4Q8yCmKEq5/2BUR7lQFgEMamxTn6fuhE2RihToY32tQ86zfiF1aHLz0YVE5Bti+fsxwjvgqYLzKUrjZqldPoI/PabF5ZV/+AEsW2HmJcT+qc2gTWTqYGS/Xxsz716Y+pfTUN73bvmU0bw5hfLjpKc7vEPKIrBotviYqaDkvrGXHJt7FeCEUwAq3/YzFupXTTFoGl4enPbJ44kBa77BOzqXQvH/63Nq8WcDPDDBni+AE4EB/D1F+Ay6df3pI6b1N2iKaf+cN6BdBVBVVYLPA32b1O5vPsCSOm2f6dT0fnMqgYQKd3atIf4WU2BqHvKYgJ7PvNwGm6PtrRo/r7iYSngPF9FBbOv5mTvsUcfhFfQaUsNU8Ag7p4h/VRRj5qqX73WxjTY8RGuFQpdTBcwrL9yBGAJ+oIrIm3QJZ+7FOtj80IjlW4mNg22ep2v4bNzdw2iHvevHVMjZzMmC/dbnpldoTB4sejzT8PPF8wfQBUNTkHdgKJu75aMc26FmEiR3+8bRdASNSetIylx4YVOwxzFM3mrKcxEtTzMvALRySQP0Bpp25dbyRqn6UDF64jXbmD72JFCv8yiPCpWYPjxKX+4SaIm7E+jgbVFFW0qA43hcPjklVRUtfmmp9wr0H3FQXI9/LTMvXtE2zXnpHIPd5sgnc656x04r0hDdf/paO8vrTK9j42R62/Q4n40tbEDvm7qAFa/cLgf7I493j9zK7jhW5EgzTyJZ8pVcs38zZzKTlwSx9W3vtnFp6286TKnsZXEq5EcT676kv/NGYf9vwEaVrqgPfM7RMbKv0pUV8DDEDvhNzMyfTS6YyVUMpl6fjxBDQSfooLayRcXTvbbbgoQXF2z+fmI/89J9ohHnFE8lxJHXWQpo5Rhi0YOKOajELOD93YmFSO6GNu8IMr2Na6ZlXiQ5xNGR2/JQ9uSjsbYhsXjbiFmewosDmtCrHNzTKIloR2TaSfso8FczsF8WLW2MgLEKLpCnbMJo73XlinBjegdTH2RM8qUKxWjchjy0PXjX72Uv19pOMsEmCX+C1FKyMvmpsHaZ5hTYZuE9cGmkD6bvxeveoUaTx0Tr16vZC38hxthh5Xgts1HBgE1zazuVejpwC7dNtLzJkNjH9/mAi51DTc2Nq8Cywk2qTYOd3vhtp3HQh3J1fFj12cyYfOVvmLva/XP7lqLsfgx88CMeY8HfO+/w2hTthMH9YRd83TBjUvAZ3qfNNQO7ay8nYJ+DmwCbJyR/bnF6/nMHf3qHWHtW7nRPKdg4ky/b+LHR/zTRN+1wmzlkPMWmB7yZ24A7AZpYDtoj4QP8lWbwG294TY7ivN1lggv1Pp8hDiwS9gS8q5Dq9iH7zZ0M2ZLSzxXU10tX2ieTp9vhTLmyq9jnWvfSTW3cKpq5YrhtRO/RvcVvpu8u03xo4mlUg9ydetmmzs30wKXmjpMX7Rli7p3HO5e6KkuFJwR8dsWSlzYvQWuHlTZzq/44TcBTM0fliHTGiouHtX9tgEFN/x4cLqBviJUHwAljZpFQUhlj0Cx/l8b9uwrWUj5qC3dyAxrTzcV2yta2rQR/5fbAv+WbWjyejZM8ZAx/N0w2HZZ9xqZZIDRjR95PXDppKK+nQHbmPJIzdQRfeW/Ywz4G2gOVnef9cjtR4jKUmR4M4iTs8jWb7+V7Tzo5/tQqDPb+JHBFzzd4P/wN1qNS4+dGhOpg8jLEkOyBUU0eCfATaC9EJgr+hw7h09TzgfY8mjvtZiWmJrI69Y8ni5gLHPjiDZPnM1Ck3krtj7VGZ4Iu99xwjj1xsCeIfdsqXfvNwfK+QPN5oudfzMwbFbZNI2wLMxeHt4ef2ghu7sCzzUnIszJ9ppxsPcbJx6/Wi0vr1P9xVLiEYtQp6JQei/muihB0oC7SQH4p0ysP4h8OmcVEZvPV30lq6i+tJ2MkL8VsZhV0kukvpcvnMZojZiWUaEVz8dtXRFeopZUbgmL39xUnj6yYkkoon3X4WVuJD/prMb0aU8CjmieC2iQGm3tTVmZm1DxMrQlH6D3P56985EfSkQfYu9U42mmG6ZGx7euc7YzdpBejtGBvXasYUd5vnrCfJLNaYPzSqrT6AG0VM1c+coQxCZP2GCCfj0oqt7/CnvhqwqXkDrkSa25pJz0Roi8VykvGVMLC3zmqAQn8x88dwnkG22KgyaddydqnQsTnYXsuC9LllndPQd+Wa+8pCx+4rTMFMQN+z52zbUdXrCnYjOz/bEpHH/M1cY8F33MXmE/YLw2ra9pv8sDMHJD708hDBrER/MIgreTtKFRbF+jQUD6wwDf9ksMU+XNa6FyYGZL/3R+bM729rRCzeUvc6QDaJTR+JOe7J3DPi7H9vYusHPZDzhML4mFOCzmDr6GEpffSSiRoXA/2PhPjhIFu0pqrKKX+hjn6K1v5h6l9yq32TfZ4Q13T+3l2cq0GNWbAZnwon9tXn/YwdUGHdomdumzBDEPE2O6OnHglBf9SyL0o8MBcHueIvBm+VgVJiJkVF4FWK5K16Uxv9dalA/g77o/AlbbsP11p5o1EU4sL9jojGk7dzvQhZeBzdzlPH5VN9vCfPqTGwPTtPdf4HXc++PxkzlZm1eF22ZuzIoFuImyXFOFI9tyhYyJ47z2BOXha+Eew601qozKNyYvZBg62CuS5YUP7IcXNMjOQMto/QEezmhELfEMugnABPV/i/vaUvbVSa+mUbfrltIxG1kOZ/hVmFrA7md6YV+DbY5NvHfycB1Nz/LINJUBf20rUDkpABz14r2JzT1uvUldOG4BOGowGAY7NQGciiNkZ7rfBwf7vXG5EptYqNHNvsJlTCDqv5Pq9LtI7sB0wG3de54cHp1zBfxYQJxwB7CgjrwJ/FMP3rvXoP8Rg5r6xB2hjc3ZtUY0fPN+ylOohR4ioVW+OoQcs115LZwOaKmGn/OZkw8/58OM03F5950wewXJkdsF0AmveJuCfmTzPa9lPO/k+f1Uh8ZnwKA+Xs6DJSKhKsx4F+aiSstc+6DDTUw9RBha5Elzz3YYUoF8LtqaMvDUheukvfIrRuaI7F5s6Dxdolf3M5rsy7QtYyzvo/wm0+lvtzIJbiGdmhjJtNfCfPnXqXgLjS7vfiCChpfhjEScx///KGQnLEU149R8v3tg7nwvp5wR0d15any6JZUnNnMMB4jmz7ylv96npLWPjpDI9s9jkm1peaeOA9rafi+UK3HTIx9bn7s5K++0GKNYhAnzpYJsaefxaQ6xTV1FuN+ALwZ6/q3F6r2PYa5aiTZDwsgivKvi8n863h4iyDR/sNR3sNxWqmf/0ytRP3pU2vLdV2VOohsTK+WR6Ny85z+yT/s0V+c/HtG9U6B1odtND8FuBbpOhV6SjjoDVssqWsbTaNbchQsWYiF4emLMEdQgxx3SiKPQG9q45AxXlmuxMni8pdFxRZdXFS6fcbOpifRJkzuN+Uz1vS73yPBOgIsAPZqB3sqK9gP4CfTI5pra8YumVhwriBxnU8Glnwkz8yTbAbL4Mkw58HMKC2BDHbTmgJI9+Z3KtecdhBwDMOHbB9TTTkHdqsBHEMl8VE+y3aWbj7n4a1VvlaqrG3aJs2HsIPSrHzEZPIojRUW7xrh6WEZ+3PkGGC22wM2Kdovnl5yf43Eut/9olD13lNk8+yosKEga+QEu3tTJ4X2xM8N6Bfer2z1rgtzTSvLaVnw7ptRr1ETRtCTonBz92Y71+SwN9NPlsYDMUi99aaczj1D3lPzP97mJorxTs6sQUOYkp2ds+PvX/5qcRloSmXppYiVe6/uEUYwbrfgWdLcpCcqlbc4dt6rsMCx2EJoHI53Na/PY+IhATnWMhM1jHkDnh9RSq//U5/J/PgTg/YWpqEj4fJi9M/Lvfuh+c7e6wJl+lmW85pmadL6fz9mrmwh/jy1p34cKH395Hm2Pwd2WO6W84JRjiquKY8fdtKsbLCnuFHID3jxAXwJ8nZl7nwf4LO76dGze9Hs0sSAHfxRDsNbWRFt7ngoTEzAXqycwtz/TZeemUFfzXV2MT2KO3p+qSWTrLMzd9GobwIQtMsDXDPkiGdGjfIc4dQIO8KapQCfGK2+hJtYrLwbvikH9DbImZ2KKMTyCYzIw09pQBerHNLg/wIJHie0eCb5AXWbSBQOEjRTwg0eaKoyXhoKskJ29Yy7IU0wHn8FujjUWtthdhclbvwPWmljiAGKAbl9JkruP0qeLk29TbvvRyY2a+9rBnix1oae+DWd751AMrm/oXFwdVQJLGMTXL7dXUhwFzXkRkT6RDeSrM+TK2qwFR8BXH1MJPynRA3E+7ZJpUofZg3732Vw78xyRPgsrSqHLb/TGC/2398YDp0WFVszjPJdibm/XgMQadVY4aiLNd8Xkm1XlLKjsJgcvuuTWzY0Ry1vlfpwBfUnFxUjR919bjZRuOQJlTO+zRjLAXAp1Xgwb+KTfA6e4R9ikwoI1DYHew/4OdgU7D/KdGkuoP3IGFjMkzNblbYMt763Ohw5anEd6DjtiYeUGmNvnle+soNLMCKXE+LRmEnipAxkQ7b2+39EjbqlqJkwObMzav8Iso2Nod+PZCzflr4SNCdU+t7cg0+NnhYudCgh/qr4rNDOx7Ptjlay+Hpw49+fufuxISeErZP3MnopvHrCnFBSorG1PmWPAc4AW5n6lB20dGsOrg9479UufbPRZJChrnDrxbNM+ZAWfw3AKaD5PnwZl3L+2QhhAfBA8w7LGSMtCE/gaLrbkDsrm5AwMbx2MSpZH8KkWyO8boUY/sCmtEyg5WUXgrW1stLWL6M2/2licgFhagizoRTV3p2C+t5zX91txVz42W5hz7WIMGBk3zjVnynRflenAm+E5kUeZ9HREvKJVvp0juaqN0tbzxni+i44XpEV2P7RPs7DvX6Ua+bxPRSUy637tszUMS19pPIc5btdZVzhbwWep+hD2Sd60mYVvyjn/jwtSBg58JZ9CGyDkJ75BagCrF58bsh2ogjPVgGyPWnP7ULuzSn662v72481Irj8JnYDd7gG24DeyNWpMN5vzyk3vcY4uvqgOON3NjexJtrdT0zzf9iXS5HAX/hn9vpSuoaZOrN/614HmCH1szWqzgv7OrwCYF+LyVgX2ctO8chVelA5pBu32VFFmgT5/NEIItm78n/WkwWV7Jm6AyA3YCrmoPpkdONph639JLO3+pI5Li9zmtYjNXUb/Y5qcXFdj4Amufm/wz8PsC9LSG/3kD7gshLt8F8z6kQ2xl90tjztqoEqbPpBgWJrRvn/qtTMMt6LPUzmNdyNDugMfSnEqaWUq+9DIXW/B7nzbsZKM9wHf0NjBtrsb2K7W16etHsuf2mxf+mVj9khlGRXqTu7qqxKSJxgfWSfBR/Z3qCYlCC0Gxiwv/ken0Abz9qoWZGeVrbeuejfIhUTJUkYrTtdwco7ZsHDMzSt4kaOSqQ2Y+5q4uuNUMj+vBTb7kIGFV/6xl19+5Y+aV6EcFflkNodcIktYh2eEgeeVwxvDWnxDDE2YB/AXqeBr9hbkZ6MVPc76527sJsEeSlQXYidb64Jie3hPh1uMuuHaPEe/29jSmJg5EFxuYlOdsDljUr5mrolOgXn1FcGrNliiyFWLFjThmbiOym7VxzRwK0CFvtF8ojrNnrduAj8jMuBtkuDF6fcw0iXMz7zac0hOD1XRaXVrgA2HfsJW3pu81H/HrLKUEVrGUS+bT4Jl7N6uxlqwa+NH0TQN9dWWrjxuuCtr3TzVOX6d+/pD9dq3X8qFG/0lQehdiKk7DcgS/7DWR/GZBcqEsu2Pk62aYfvN7eT+HEE+/ielxv0o/7zKPRnjOmfctQmmVjL81ceYA68Y56Gywb2CufgUtaWY0eoQmR9CmLg8QxD4G6kp+U236E/2xaz7F5Yo/Xnc3oP/ahuozt+Wcgi8C3R7KlWSmnv7IW5b+9O4hTtmhvtYT+COpc2B+4LID2OEd9vge7D49WDYuu3aqejk3I9nVPXgHB/a+jV5x2ac9IqfYn2iHbqD3n00he1N5nLrS1FVS2L8xG+Yqfd86p4B/8/jvwhz7WOnebYLUxRQYN1wmYKyr1H+d4/+w9y1Ljupam6/ExWSUh0UagbERidAFNAPkSAwCk7bTxjx9L3mXc9fp09Gz7tE/qNg7K6rKWCx9F2ldIh2RDXjHcVphiAO88Fdt+yA2iYdH/tVQf85Dc//UPGSgTg2bWsB1ZO6rCUduxtD+WR8ftm6zlA9ZnFZl/wmxr3AmwIs5l8fO0v0efklh55xpWonPc+b+fmmb+NBPnenF3XQ8SpF+h4iG59o6lPtfVR8XmR3ckgXJ2i0fLNJX0PnnvZXZpeWtqi52QVZsS5rNedBS4JC8omhVL5kFnu+ZHyWR//IOq6a/n7Fl3cDb7wxGpSIATNOA1SrFo9RUb+18BHle+AF9XHdVSHrsZGeMQD+BDpbBnNeL34OnBQybPgRVOfj0jXKuSx1eb+Bjf/rcmjOQksq4WXDKBtkq2492rj9Uw+WmwuxOHQ3rBpy8oDRjgSfN3Odx2ieC2WZea91fHrnrs8NgDzUloO7QrN7XN8B0zYLrg1rW667NTH3+Sjn2qsGLpc1TbMlzs6i2cScPh1PPBS9NbgTTpSPE59KEJ+AwmYKPdfjgfTMh30DjRqD/l8r2aaLNrAkFcfEJnnDdyc2r3uG6ZaHp+2N62MoSL+qUcr1iI5aHSDs1xxbLr2UyyA8VYgv3JDsg9MjtKaM98RKhssxa2ZXrazbgO45Ay/ZXCj7gUZneP1oBdrU/PdMw6LAcvCQZ4paxVqY0ceuwZThS/s7CFS0mcYgCBzyHZepkmY29NILPHOx7Gm7vO3dKAZtn0A8WBe1CEXr2vQAd85U7/ZOz/nwWM73bSmbmlsbPXDbu+lappWAos3ZLfExz08MtsBQjBLxR+zyHc8iMB9KqroSYlyKJCODh5EHMfQMXtYAV6WHARNrInFW88jeSbPS/sJkhFiCUBrHPTPMnF5uhlNZh5BboUV1vNAHHnGHQHXuX2RL2F2j1IhWgHcMWtG62khQdn/fkdgZ7oj1L9HsBn/dQBf/xKdjymFrajIQcNKcME7s9H0AHlmx9PASzBj8lGoFFEl5WpfAyQdGHGCdyCO9LEtpRLUy9O+pJDzgwmJ7ZpGDh3fSWw5lFrligl7YBrm1lhXTPXdya+mxi2UnJOaHvV0/B10k3MaJGJ9m9hWFNQTHn2LxT5/PGw/Z0eF/Pe9v/PgzckVoDJmJv5wCmFaTANvgkcX99ljwUv62Ex5e8689i1JES7T0RcVttFPDBLwfiDfblOgb/83UQ60tC+/PONozMzsDDwyG0lx3o8P1C3vePa5mi3hJRb8Gaf/F8nTbFTw+TB4iT4jDKmW0QouHpzGEvpfn6lDjTF3XYLRHNUluXB2etR7t4W7qIHjRoVcBDEmYrFp0shX47BzOuqMce7OOWdzrmSF6rAvTg+/p1N/rFFpRQNq+oiL+BP96zTh/pyIdGK1lx35KoP4N3E7jg0QElM+j1LAnLOziUpdnEWe3I2fTnTCLk7CxU7ByIQqSvaRHLpFNlbV1fM56clGFfBFMBGs3jejqnG/0hNqoEndZhqy2Az8zt0KrmoDU7suMFAVxVQwX+CVs26PLykVlrP0dgtItPpxZ6Z3qs5Ii8N4vpLfM6+7p2Epau3sg32FsBpXrmI6iokT/S92sJ2h20DFpoeD+DxkmB146Hggvm4u/EkXkdgkYp1DWB2C/HwDW1MfDnXBxijAf8kVnoVDv85VNmaWalDXI2NX7wbzmKBVYFWqoEvjf538DnFNZnD9z8KHu7xUfwS8MV7y0UMI6cNFQ+eH18EHZ3iE6zinwG+gmez75ja53jQr7qfJ0EYikvNK769TcLbXMO3ivwfoAzJm8iroJmNvPJaucZk8CtwDljDNiaLIL9clN2tUUY24lAA9Xqygf9qCOyI0vrNQtn5cIvP5xSlOeq8CsGMZ1SPnLaxkkxRbkdy4PQnIMHhBhJJfiORreeoP1SHtc70Kanxs68jM2ZPAKv9GsEGvIK+42xsH3kwxb4xA7zQr56R4DvtD9I3xYyUt8lTzyB/L3oyb4ZW1t2fpYtn8Cjptdt3B26clVb1j0tyDG35IUG02XvxFyC3wcd2Kowlo1t8k1IlkfYroGrU7Z+4WFUAd5ii3wnm3ZP2aSrSFeyD841+OsGxSuDWXUkQT9czwlFkaLArtw3XnBOCm16il0azXE1xh8y3Npy/JxxP9+bAJgw2Fpl95prdsXS6q1qmEMzj4xoAjq3lbhPlpQqwLTrQ3Vqou+/7MxuXDEmd7b0oOW252ZAGmKAqY1uzTs6DIDbtj5KqrNGAA/pttwv7Tt459f5BjoI8oG1Xwr06UndAtY0M2jbIzXnL/3cloW8EF2uGoMPnXLqBZ3LBbU7Z2t6aBWgTc818qP0fR1RZ03KRZn6mO7AE4uzxBHB9ZU/X8kwbkXhb0CjUGXyTV1Yh2FlA1ZkItILd7xvWeAZdETRiBZT2oO6PVkQ3w/QnVlu+yFoNj8Df880+LihX8B3wbuTvLLMLEL56sN5B54FPrXcJpruSdGWpbnfgdVUugXsB6x2kjvlU8g28riDfZNbOKwQKuF9ftV9aSXW52z6KjaFmWlAzJ1FC9zZKtR4phbezFF5edgqDP7ZP648wv43d1wW7ONLg0C12aCzg+2c2HFXCnkEnhpzgXPQpYF07IJFE3hE0NWuZJmZsSN+gc6FYNvELWDwkW0a09P45ZdvePN5hucoGi3fOJUfwAH3RqBLJTAmYW+B/p0aezrhgZm+Gh8k1Ddpa5QNpOQdmst+DX8vWAB/dDNmDtelK4CnwSNuSua9JQV69dNjyZDc1fs1T8UEexWBT9GdmXUhWGMlGzJVNt+DtjhBTJ9y8M7ANTy34suhQ++smGjjoDPrbQJe4NIEcstcUokNc1UvO8kS7zC2r5gvKyrB+yROPcRBCX9T9ep0EHjZWzGgMLf52H7IwR4h/rkMpaNoe6/pJ3x3r6ucdQQ86h/YmgNWt6A33ne2v92ZLKLHL4dErWOaqr08keS8Nbl8sC/nnYPGytnemoJ/5Nb6xnsEelFlO7sNs8HTud2bWo0Pbs5PQ2yDvz7WobciCFhaBI/aJW8J7NO9DfsddHnN1p7M1696h5BGvosFx83SLgpiXfHTPY14DpqRmbPzfFEPPID/WNpJdugOWAjvhz/U4/rNRz+jEZ9rJzY59hclTqCvlNeMeqm7xOOR6a2lXndtM162JjZvu6W9g+7qdg75yHWc5Mc1+CO5akZkEy3f2QKamTdn2GtvkrEz4MsX1uqRuOqagQeVLqHwPXagkfYyZDcM+M8Gb88Qfnm9JUGTViz+SCyTl6NNHbfmx+spYaCR+pY2bnxOwzWqIlUo7Vt7Zz6BxnzkkR6kQAnWGLRuTCDWz9wisWC6EqEeIc6+sLmfCEj3k0dkkY9mYZYat6u8U9/pBldCKDBT+NvMoWVa+2amSlbgd+DbOLEb4FBSMtNjYpQLcKclQhJki4rBb+4qkczUnezqeB3qDWd/zQxqzSxLXsS9Al2HHU4TeK/8eFlMf51nf2Q0mXO2oaTg3fSzJ8aFoBg8CPpQsIZsWEtiyfe9U7oQW1dc4PJ5/sWb1QF0nRqnt1ccKgd8uCaopsHZ3H0pK1hVPTLf5T1l80a5OHn2lIR4rAZ7JeDfgth/g+9Ywf7rOJvKZpjfTI8x5lzuSlh3kBH/9IPQBDym/7rzTbmZUddDjAfkWh9/3eD7tY2t4Od4LK32woU614F9z7vWA4xbpQZjFuDRwj/JQl8h5j3gA80LbWqwDRaQnRNvQYO8wZrmrGCvs8pv8GaWHLxVEn3aZGw3TYe/Kj2FTddajQ26LArsnc2PwE2wT3GYPa64gXeEEbeJ+9sCTcKombVnSeD99crkxRxCc8fAMynINll+cgIdWId78lhrPvYQR1dHUhnkkZwErGs5+j2L0EkKcL0cz3zxTS/ACfajqKO4PRS4Jc5suAJ+/zI3aCp4z5xaJ5bioMxAgzVcvmap00ZIdkCfM2jNLxHB6lk22ls8AX6N6qVfDgXEg7M6lw4+kig2/aPBR9+dhKGYddKqR8lp4fOkb3fgI3Nz9lo6vxYKPgo877Nv9J/P4syJszQCj9NbDtV83/DWzAUcmo4tZnYJ/F2nQcmtiTRgLF+SiKeqazvwrPLQxUGCNK/F9lwvye3Qr5aUJ+YOTIMOv5n6bRn1r/N5vjNdpB3kEMDQ5H0dHERcSrQ9l1y+1YvOMie28Ug0XTLnUAROAqqI99LiTnADzV7C/oM4OS3YNeVCv+6qX7lcrHeAuYty4wf8+Vc+2zmPVFT1+FEO3Gs27ZA4K9A+WoA+/a46HmQ0PuFePyrq42yJl3yTzMriYzUg4I04rHUbi7GB734Cjd0uhPeeBB7g7skhtARM919aNJOoBc1q3WF9BXgFFzzDCnDNATzDh+E6gBYOmx6bXJRLbWoPRfyew58DziGwB8fMJqHRxICNHguDe9YpUUWyzQW3GgenpcN/ZrYKXtqV7h26yMX0VT2M/hsW6zfTS9nkvKaCOyWNTb8Pq46wqBf1BVw50xE9kk6XoONgTUgiC1mqLlhygAHg1k2FAq+hqAX3+4qNj2pYc9MjDZvZLIh88Q3fZswOAIMZWyTgB3GBy5JDxN8l+DQZTOCLYZ92fprZyFEaX+gGeDo0swn1B/jGRzX8etBOatAVM3Z/zqNsUcSmdveJNzmTZTm0LhP4Atx/fp5BiPW1WuK7GrYz+NIjPpp+UabfCGgtpI6gKlbchvdkxRYzuSIh6DK0XfIlnqXJC+lfuY7XYm96yXTczLbP6sHbHITn1E5m7xdzF0qOKY1bthBXFrHNuuCRh/NKbVDbdP4tY+03YVO7g++NdXxrKPmqoumb8fYCetWrYJ0Bw196vucUOLVTnDMvyfL1B/DwF2h1e+825yRIVkK0rOzxSTkN4Iqsyl7dctCpByEFDQlRDLh8lCuy+G3FY34YVJVQQDCBeTJ8AndcX+9rtXdNbQefD/mV1hDxhw6DL9natDDc+NvkEt7hzy9lRypTV5QKjwiqrs0GbyFWvw6BxEwkN0zbjDoqTxZTz2fULu/IsrXExn/V0DnKPs3m96RDwoS3DwV6Og9/nZuRH4G7FvAFC7WMM9c65/xOw/nx9Jy2/455m2bD2uKRDz7Lj5qetLIrndzJPG5mblDC+SbuXvurZKTl4Cnhmd+SUVZ49Hn9fi1A/4JP7M+mJjWh2Qpbccm1PjbH9QUP05AG7Z25HO3cKSjteFVHyVwP5sxoZgktbbn5fVeFvCtEXn1uHw38PgY8IpvfsBe9IXfZnXQoPMB6yhAVSfEPpzfD1ZPoN/jpOawoMT0EHqBtAbNQlQMep1w+mvfr/kCRk4APbYreURHhSde+9PyUuCjgJre+AG0cQpyHcneAfVBT5WNezhVtS2rFW8mnKQFMkppHMri6daj3HCXAn2rDQ3wD7gsZ4N8ONAVg1YkU0w40mJlB+NKiotnEFnxez8Nk2T2uKfAmBv1a5gvPao4vyTvwjiPvJkZAm8Erm4ombAHfeZZYJFFClofBgv3Q3MBD94yCl6OAm9GEqiAW8nF59YS31VDey/5ipyFGYkMS8Oct0brbuagUgX00tY4JcE0CimfvBoC3cwDe4g2PU04K+EBbl3K4e6amZL+gi+y9Kg3k195pe/AhCeC0/8J5Oqi9HOa9oP6HCthM+nKBuKCpiEUOmobwFhDN3Ju1leh+e6npS+TEpwNC4IG4jQd0pB3ocnCKwHvXJuJH4KYEOPtewp6GWH3dw1bUTpwGMAwfrw7ffK7SDXjfZ5eP2PRYvSpbR9lIGOBfRUbS1kXs1ZTb5s6DIgwcHRfm7hLwjFY2vpXDNTY9BSBOEGOfKxrwV67IlKLPswpRvrfaCjuelhvpNOG8b1DrYhsXcgNe3uZpsijroE1OcruUDnjB4MoA8z+SAnd0sN/xwC81KFMVtYT28Z3rk8lXwxK9POwVYhr2bOHb5TBzBf+G0WiVuCISTV1irZya6nsSJuAc5ZepcU6jxCltVabg4XKHz9gm3wc2ddV4soHnYK/hUW70TIL2O+l4hTV55Tpe6kCdKru1eN9botNtbqsYg8JU4ZwnSPWs+20fRoxTCjxA8SQhFpsNH5N+fQdOZHTD3xWNaXVcZwcQBNxRA2hWzJktTN9V2Cevc4Ar+A5+CO1eIN9OxikpF5KZeeYJlZc6lISNpScXIiEGrQoRO2XKUwHsrA1GVZi5tW5s0HffUpdOKa5xqdkduN6ro9aSQXtkjnqdbyTw/svKzRzQOMkByVnqODh0z7qy/Q70canbKKGoEEhVlaXOeYAd0Xs9+EPTkfGffsvW5VaaGpuAb5sIlQetpAimtA6bJQl+7isH8C9HbmHgOx/hTbsFnIgyjglzdJGPimTWNecM71l/3YnCBwxrPeDxLyyCmwxiRFjsHkZUgi4gZENubEDvpdMsIrxea9BC0pEv7+CqEcPvwzvk7ZK48Zyyk0ts9Yatq58s2VxSU+/G+3JAoh5/A+969zS8zvR48fjAT+n7OgNO/ijBk6bc/yab/iYiwI9w5ZWdmSNUvuo47sL0sR+zZedcrUbEslk0IsPa9GXc722VA+8eVWivmPFDvO2awe6qcK3ziJiZrqziih14XIIHo9SOaWbHbcMTtylinRbBIwWM+dHzoayS/PrBnXV/6ABzXHJrTB/RAXSn420zBzDIQWlJfVQjnfHh4uIxMb0pctG17zX6dHhwcRO2Ph0CW7AFxbUzHxkHTdzHQcM/X3UBs0Ktn0fY9KGqqpDPe6vxEmveggY8gtcFr4/fRLhdai2X9P0CGs46g4b/TgoZ7GzgkXBuGScTH+M7Nfo+9JLG4QsdTf4DOzfFz/zle2atpcmRrka+ZyFKuZmm0JV3ya5hrn/faTGZi+OvvEhWuZkHYqGcOVvQr3okoiWy4EHlcCLC9kIKP2iQ+tpb0lfvV5GH8S4fVq/7r646/lqpwvez0c8qym+JqwvCY4cLz/TstpmQTj2wWz18zlUPfMw1qjlHEvw8vEeSBuvVzvq0QEtt6Ia0oidvcuACtCOllL8dilc/hwtgnE9Bf6TEObkctAoHq1MuzZI73nfm6rfKwbi2ZvCAaMKPqw3fDYNKf6jFf7ConcDX+fXQuOBDU3NvX1sxbjjh5qhYmjXZyBcvG63cmj5yoI2TeuDgV68JPM9cOl7Kwyvg49zX4Dm4wSD6+bwXhz34UXFyhlho8/Buc3tKQPtZwFduCT4dcKNP3MD0ySUH6v/ghtk7tT4tYlDS5BgySj6aYnve25+e6dFn6jpzcTozTUz9X9oMa218OwuAYcxd2YasRODB2kpe5+sC9PWtpp+whyA+zYz6rn3dZW8P7+sSNIMD++Oj1njHgfeAZ5eqy87UQcB9Md07oGEsDzhEgmqc8rq3nXrT3IWYkXSsGZRt2xTP88dv0cU9hhgEzuG4MOeR+FV7u23gO/NhHdXPHpOfDnZ+zWXHPfgz31mnQ6pbKingxrj1ykJr2MemN3qRc4XrwW4rjUkT2Ivs77McPs/Esc08GdpsTA2gfjSsecVhIR/rG+DOFfBmzuw2k8vnIkd/SAY0phs8gbZ3FZuGZojztOBlRjV93rWPfAR+WQDb9mYW/M7GlkDkhq3knnfx0ARE15F+SyLy0thZLoBLLf1BFuD6gd0pQ5r2FysPT2dS/F6om5wBs5YmaG/gT661dY1SisbGlpdDvu5ZJOlhE29yO95Q8FSK2ZgsKAGdlAPOLam4v+58caXZnPL+sX+sAf3Wx2YjQVOQZ56p7ADLKWDpJvHqsbnjDdopBw0VRxvwti13sK3Ah4JvOykbmRySb4l80B5TLoWZFFLeIO5f91+3pmiML3wkCH4WpCwXfSzzXybP1JaBvMJufvDR9H0lbeJOO6o5zpiZR726AXt/8WgCT8MBu0qH6MarXUnBT9kNn3oi1t8c/t7rbnRv+nxFaOSLSqitdBNILqPfi3qss2xpIe7M/DE/Z6YKOogBF2LKQEuWzumWw7ulLtmnG39m5vzInF873tQwoCINsa0z5zCSVz/zjNsKuPrqJUJ+lS4WZQFeq9OPZEmW2sL+zvXve+uyAl2TZc76yoY1xBvSDfPSQ6At7iqecF0BBphJQkums3M9zKJBeAdP13Nn9Trf8JTNLT7iueS8AF1GpQVkRPUF/Ft66OIVfM8V4OBbbnoAUuYBMh9L2tyVCM6gqFYJ55iFasqs06opyEUt2sstwvZWuahIZkpML1/Zcja/VfnaMfetyXNWM/gDJkXVmZ5CeqwKdTyEcl8C1xM+mRpWlzEtId6DrJ9c0aMJsCM+RP5WLZzWDpcpaMtmnN5woCts/ezlGxftkqKY0NAGX/Y5QyxBzAU3+K5679hGs3wA5380+RVzgcAxrgf4/joZeFDmVyHDGXjzyrNefonO/86DaYcjfcdi/shsf65t/6VFM8K1z2j5ONA44IWczb0bxPySuWhXur9vVbAC/wacaBEP+CPd28FyQPFbIrL7U59xfIOYOvIePKwtv1gUe+Xj+g1r1QrEZeX+fvWpqJIBvNwwmfnEbzIqzSx6AT7gbrxhOTJzJ/vdhGY2+lpiThzyWFPAgj2sbWccI2hwhw/gq5bGKwXPhKn5eFx7uuih7OJ9FVxffR1vpNdT5cgpcaYWR7FPGfiE0dwxKbRbWtAq4IkckjDL/sLAc7nJY3BWELvrMu+ZI1DiUMvk5Xp3NRBMosTFXQ+4mt1NLkhKXzVZlzMLe+sQ4SEPPDOT7GbuvqRIFuD+j2rgjoikxwJ2A0yNcv7bqkffdOBqTX+YsuC7BPwgYFJQh/xU6uZxAJ5OrH7BA7YUkuALf84PJ65/m3mtH3ij4rTQLnY+78kR+HIkAehGO1/0N4jYJWEXLwn4IxHxN+YNRNfnWT5nzl47NVyczPHsSsxpYutHytuYod+WENsZB/arZ5qXMh2loQzALwxCxx/g8ylmZKJuDPiJB3r8tTAXD8Sav01fOh6CG7Qa8MvxUjHjDfBWus0KtKUAvmufM5oHjMHv2XRsczPv+IVRwNE2Da8tcdpbebyuhAYsWNCseinyIr6qQgPHeouZ99wMnJdF/A5YZ2IMPLRuVTCfyHhyqjEwc0ad6vHrjBnzko1Kpdtuedi+9CExMy9qvTW9aUTyWD8ksyyx4V3lAC64EuKf3XAwz4ph4INPl7vYqvQ01aEC3Ny6sP80Db134G/NXb/Pi7YVAzJ+dttsmhUf5At7y8QxeoWnnG7n3aKf+7Ma5oFFwMUuegONjxsqh9IJvBr5plpiD1iAuaM568q5ivwziCa7trRVva8dxoDRuU4Sdj0l4eSQLntpG5rbBHz4L5P7ewe/UibDOjSzPWiE9vXg2QypjgM/P+vYQ5SUVnymgPMHjvrEVgVGsFfA/zchp2oDeNGRQvZy23SN02x8DTj7uieaSBEnyvRoGoMHH1qd6xj2CN+mNFg1o+L5wk0+0J13gJFamh5i+jkdncW3zOIXjJqbXLQse23u0nRJY79i8g6YteeP9bO32b/aBpTlEs+Ao3uT35kURJdFO3L39722UY51+yZHsqrfr13N44Tb+CuzSivfxOCWrhFb/C7vzH2YPklL5VzEkfnO7P2aVRawAlfV632BrzmBjk5EfwVtq80MUwe0+A33MztspKhtNYJ26nEhbdZxSwXopo7ru8GGhMukDtlZicxqGOC/jiFucNi4ZGIgsZoAf5T9+pW/kaSgJxRrt8w1/S0wKErelYuMKGtAM85FOYJ26cjbgbYr7qBjGvmLYPwuUJskIGPSgA9NaFM5qmPN5YpabCUDiNdh/krYrzvlP7373sFj8cYmCDzwCXOl1SZ26qK8sWICm9Z+k0A9UhqHlY0cavocjfFedHqgoI1TpEMeTB/cja/Uug48Mmy15hCbmoL/oFG8yq31Kzf1WjMvyhG/SM3LlMcb5ZK3uthaaRFX5hlSVLqw7luywPcxc4RpbO5v3hrRRrlLBAM/nQTrQDqmfiZ5mFnddMF9k4NfNzM8dPw6ZzunxkV0vK8K3FchPlNxAe+FXcpgJw+JY3RMxjxfsNg07jDzid4OgMfVALzpTtfSPS0cfCK3vGVvrd/+OZe5uHzz2wPMAs2NXzjvUlcvNXxnESpv75BjNQLnLnxF3d9mtvXSsInn5q6EXWfe27s6sHE+qDEPQAZ0oLtCqUvrsvACuGdMPNAJbY3ajwa0bzbgRxM0r5nIS7XhBPahJUJkZQWxEppYNTMzKOMvBhhV5b/uoK/AkwPTjOSemNlOVPHM8mjTmR4c/rVZiA37P6pdPWQdf1eAp8Cttzrgcc3bV555AWvoipDNCfPezb23XNoW2/39ELWCw3NwtvJA20Y7h+wPneyaDkfK0d8qbB4Qq2eIz/tukQ7wW6rAXyQC71kwWyVXlwb8NYY38eJl0KDloejPoLGT3ZN79QN83o65nxY+Xh/s+AvWHoM/XgNWtDFmv+bDhve7xb8K3e7YM0ejfQftl4LuFxB3X/Wi7oeOWVhjT/7bFwv46XLLj9fvvXOlbJjeqOlVIE5O1p9WdRiccXCZU9F4NCqBA2SUchLkjs0rdk3k+7Ut2WqF+2lkG9gvaOvV7+s7sa5lOcx+yZCA9/Izt70EjCE9Ab+lTF9+l7BmFoVq+YaZvNZvXrA5GyXwIVvy4HQGjfsGWhNjRB4mx4x18js1s0YDZadR/ABZZsswvgCP22bNAMteZ5U66dq51s253rQu+O2Uo8+ZjXrPRpPDpEaMsHOgCLCUR6YvdyPAT/ZykxYqB5zATb4GvQ9+MTA9+u2ShNeHMHdqFN/TAjngn1690y+s4JMIzTy25g5atQXUc+vAcoymV+LXXY0TpQUhoAJmEZG5ocisz7XeZLboVNkUHNch8ABS1n5BhjM5d0undk7nPPRMXsTrLnuPabCoUM4Qgxe86e2DaHcN6PtDh56z3uB9f/ElPh2KzOFFZuENeZi5beB7vhq2/qK2vydmWq7TxlQDD1n8eID9gtl1qNjKaYb2db9ckoHbZIlJHuKWD+obfCGH759S7lskIGZ+OyHBtN+becWd6VWNMWift7xfAy5mLgu2M91IbGpBVcA3IuzPoKfOONQO1+qRD+XLLy85cD4OW5FytZKOjSX489xZfwvaJodIkwSZO26sxebTUkN8qShJTL8Y4LSI9LOsNmoDvpIdis8bGVHOrOkGsbHKOswqN6aHnzW8OKAtPtQgbcU5qsJYq3AiJLQ/GPgUIjjmYXJPHtc2cU73ktlbYvtn6lxb44mYE9xogCsiSFdb7TfnfDqEUygC/F1xldS94inavvRG1yDFUhFnuT0xFlwrs16ANzvY9wL01UqZ+XxhOxyoXmV2S3cLYGY4fVArdkprzfFg8yeeRuQIHA181YZMK35gqqwF36Uhea3hhZj+Y8wbBJKrQ8Gt3OUP9njmb8im/7QOhVxJ7sOvz3nnlGc1lu6fnM0VttZ/zio/VyKcuDj+uolAzUSjQLmaU4bA/KJX3x5NAa9Bm/dNERfUzVzZlx7E2IgHrweMsijCZ/ApRY30d9YjnHHDNLOZYRhUFNiOeXcc8IUEiDYQjRlFHPAxlJ0EH7i+MxG/MEqrYJ3zEXw8N/1jbZZYwJXOTE1uAekvZzzcH5lxts7JJp3kDSiPtPDnJrDMue6t6turisy9SnmuF/JWwb5MGeGUElwPCLwHe9W2P8DTHmXIM2KRY+KaPqmZs3tczIymYu/IrDH5HdQvD6G9p5rfm15WGbse6yKx4ftOTREswC2rsveuB40uzCUl7cHTivW36hK30s2rZt8Br/8N+/frmbvstHkT4gAwdpdukhu813a3oKR2TH+mwCsHVNBwxgQ0CR2uYTaycxL5Vd57LR5j8PKtzIRecNCWOMy8fEAnpdErzzxMrLgvi2kCjQSYST7qok1MN0XQ3TfKM0c6HsrAy7F+LqXTOgQ8p7kbAzwIwU9WuIPPcj/dBDRE836dld3uQafagHVOPXDA81f/3osjzbko64Ht+JAtymIIcMDB4CnRqbbsEnfPmeb7FDT2YVBXhuRitAET6/BAuSftZqkDU3dvOrQEbjVkrhJyoa7fgd44EfQzw/pSuoBzHZ9lMN8hqh4JMz0QSFxt5Llh2ZJEEvC1FdK5kjRE+3zUxyZowSPqnRh7j/XI1MkNHOEkWXBOXD/FInPx4jvgOFY4+PXSG+eUmbrRFhHNk0ZI2kAkkA2StUVCqrfnKmyNoj9BFEe4yFal/jS53oguz5qgVePG8K5wChpjUO/rqVxQtbOnb368zOYZzVyl1/kGcFVwGE63DHALO0qb+WClpUyeplRsnpQb2wQ0bWI9ZyDedlZ2A13Ygyh/1J1y08AuZej1iXWxQWPNDegMprd3M9O6GWG/ovZ1bvPFRjaXAvaCiPsDJbzstp4a8AJ/Nk8G05/tdKdIZZT/dmrYO9JCz5qIjKGUBzIi4P8bDR5bXHm1aXeHCJn8/I+qyxxSfD5Ky3rt5UfJicfC7ZzDdwfFYNUIXzJzf94FjtpsLdy3GnRjXg7td8N+3Q4DrI+lvk1dpdJakMj/UGF5F7q/4WHCUiDgfXXOLLQ9FInHgOdf+pAv+l6K+Lp3tt7uYeLJ1BfMS9Vrjy6mPituRZTBZ6gH7N1zM/xyMegoCt6zoX4Fe+0hqcJYkFKM2R18SFBtcIkXfU0GM6OGvPT8NnEnVzpxBd8B9uovR1q23/SA+yEecH45U9SAjrqczX07FfcV7Fm7XkCl9p83zqx7wqaHOZMAH/iuAP/oeHqUxefMFy7y4L6qhtf3utp0iAcZ2k7eXxMzKwr84dn0GJJRfGKu4oA5bhPIRNnxI+njbaObR8NlqygJDgW6lMyjaaAn8IjXw6iGkvpj9bhuREGkAP/IN9vXvfldUTwDz4A2Wi2HwBO08BcitnZN0cncDZePy8yH/pGLtYB31TW6Xcgiy6xfz+AZEHjQIXd4Cnu3bOzeBlwAHPaujS2JHNoOj8mLK3dEoFBwMgBX9hg0chU2KxKprtbgr0N+xH0cQJy2e9NFb+AXxuU7+KFLxvkmCdWd9ycPtL8jQZ8lgXcx+cPZQHo68pBaKztx7Fcu8YeKNDL5Bc97EZfznWPZvIu/KousTK77wWhRsX7P3elN9v0jG3RyCAnjoPuYw7+rjalBJ0UDvMzh+Vjn/3PvgDhwj3xgN3idpdgpb/Wfe5YRd6auVx5Zj3eHYLYrgQH92Ar+O4BXGtgGg54HbWb6RQpQTSbnG/Ya6ADQkEDDkc9z208yjt5xxGeKtg4NyStPb5YIA562TnJcZ+DTv5NF67Iz57GzZXoOAMaZ+Y2Cmh66yMyx1UUCPqcU7KYskgmBdjsHuckQp6CJbUwzF3Rlau4SmgFZ3P3JxQK/AWwtgMeH9ioGrzqMiQvf8V4zdUm0D3rB1HbpN1wgDn7EL828sfzyz9myK0PR8QT+/lQ7moNuHtNQmllKmwN4I9pxnW9e97DXSmjYOSO61Bp8fIC+ZKD9vdUmeRQzJsDVCRt0KioTzvdJwb1miQFPesdobSnuttCfD8JlBbhb5kY3MQx7pr+BNh6T4y+Pj+3rXm+WReCYvPImXO/B67bc9knO4oWC8q5G4N9+/saIH+WAIzqqFrTKFvj7krv6Cnpwzyh4S0Y6iJ835sbkYHLThHfC+XUL++aYMfV6X6LS5j5eW3nkD7Lol5rxNzzMqAn7u6nVxf2z39wX8GsIe2+TOy3sXe6pDYlxoW6E66my5QQcTXNbg85Tkoj1FSIVPCx7iK5xX7nEoL9XiqlVjSbNB5SYPUWQjiHOJqPTKvdZw/NWurHRp6G566Ea4knjfQV6igtvJ0DL8BB0dygL8F+mJuGdsdjN/+GD19nXmI1+lxSf97JXpxo0897G38zU6gAOsxG8XpQtPGJn0wfdzGU6BCtgr95LBvRVD9mDBdpqNgn4vrhVG5lKV8+gY3sRzl4qyrlxplct58SirbNzVpYK2htobdBNvwFHyZabPlOsfeYEgm80ufpn0AU34LVLxragG9hSH3/dybh1RaQ47bQFOmtbdqbvLRfNYO9TJBGx8AujAjmglekBAbHnm+bd0tIm18lnFF/27u+VFOsKMJZBrC+ZRfpSt9jMXGngnRMXvbOO82TUbQrYRE3d1GjusEhBXOaAlnpkPX6dfYlksKwqkA8SnGYegLfrgSN7zZoRWIE1N8DDE9vwKQOvcDDnFYHs+GC3KbusSq6HA8Kp6X8jNjJJ0WTezyb7J8f6H+7m+Gd2lXi/CjO7OeH9SrI1sD8zfRuPWVd65qwY94AnEdnVw+xJLb9VMRHlgE4fp6sa1EfGMMVuMkN8f6heWWIDOzz6fTd3AdjO7imzX+cAgJVYpAVbzFwm0FPfebCmexcx1mlitAW8L36gz3xvj5k7OBs7LExueGks5YK+HYO76RNfIfzR9NNUB/GjYtMuX8xMqPs5/ze3p5Dvv5a9HdjVOG1BZ/rSJaZnsyzBixOHb5WWjxxlTiU8cyt3VqhfNb3eV0tvzgfo3uYf0tR0IwVroVs2AKe5MiNR6zaDdYZnet2NQqyZejK72lvgd4rp9Ecj+YADPrbjFuzKAB7VAmz9MOcX2J28ZCEeHSZdd1vX3Pekwf0BmN01Y5zx0QdHRQwHzKa+W1rxa650kmjCjf6oWTlj2lIxYFu8ej8MwEgC9wQFdzogbXLzBY1tFj655CNzWztfGpcg/g3xvGUU/mu3RTKsM77E1xR+v3LxC3szzOMIotIX5v4ugD0AOCxt9AY4fGocLsphAh8rV6aGNaOfCwvAU4vLjEPkw3d7I5vPxyEiqzRYf3G2NvdMW1D06E8cmruGlxYFrIjPplecyR1uxGzmOH2AgqJ5z25Nb3v42RMd28nCL7Iw87pXs6J+lGh5rwUWpbO+Ai9PCegtU6eoUHsBT9EnlJs+WY7s/vVfOxfeQRdbyQYR8nyWWOZd2wrwcjl4Puq03nPP8JMN2HWmEf7zPuWXycVUsLbAhpdDx2686897W98rm3/VbntLQtB33U8uVrw3OcOb+A5+LWk2v++Nq2E/8wvgXZmNgD29vPF+7sEjgn4koFXYDMidHKjvmLs8M4NMgEPL2M/+9XkEnu/PfiYMv3IqSgr7CnguxO9r8Hfg8xE29+xfytaijraeOWksj1fQSVNJR9gMQFolfErVf55Z0b6BZ7vQ/rQ60Nj0uadmjngJyAI+79hEoOEK/zUHvDJ59ocN4NfQUmp5j6pr/b+ekR2Qfv/z/zgT6HmfZXpqw7o5oKGfPCDCtZNvsqU5/rrJIZv3oF+BZ0AjzQkTP97hxu32zfT4b4KpVfBtyzGbd7b/XkXceODzQZAMj88Zk655Tl6gr6Zo/loz4hPqy9fPNEDRYUgWOpYu/DI9Fl5nsA4FnSS1GsBzT6YnizAzgJFexIbTxOFcRJJCbLug0zCzMOBcrJkw97OmN54HOnHrSO5HVTHd0/c1xJk086G8UiC3dFApNu1P74if5wONoKw/Mcb0O3iHDxIgv+wSB49oKVn7ftAcNJgsU/bLZRDL1YLtkl2v4JE+IP6mnTNnlPoWW34/VOiB1zNnPD+a7VuGselLAW9Tc/4OXt30iA9PXqnVpRkCiPneyQr180ywl8/k3/eZ5cz0TjE1guQE/ACRKm+lmY0EPj+xM3O+9FPnW/KtXQ58ypkXMDaPFLWwduTaOOtzAhxvzn2Mnyy7+I3n16yh5E10nzZgwBW7pq4+OKtOZWwgpLR+niEALUCz/9Qbfh4q9Kyjj+Rbufgpe+aYaJxvUA+6dW4ClYOzvafgHWF/LRDyl9r5dQe/dks6/pVb5p63fYCH52mxvWM9pUp4pt+OhSlsWvqzvyB2SWZqYxrTW5n9Fe9m/q/z8/M7RvHOxLiItjbm0wD/BnCQvxda7rEm4AKuEgvLTUyf7o202Ehioief9Prnru0QwjoK7CS67Rva6rL3zDwvYnqvNuAnTW5U7rYtfV8PiXO3JZdpNQSgWNBf+3Bts+BnD4xE4BL2KYN4sQjg7Ove4TCaGQLtCDripkZz/iF1svG1AE5qxDpPRrSnx7W5o34kG84OoDmbPpnLkcxVQR7gjYw/ArxOzqAhnjPTTH8YuuFECJMDif875sFHmh4L//xs+5Xpf1RkEFNeUEWNmxat9eQx3Z4wgncczBN20Vs+XN/qIv4+DFcG/jXlAMXK8vLMBg7X08QAf3/4a2hMXaKsHWtl7oByZ2bwbh9JAXuqV6sq8nuJ/l4vbPLZ4j8/j1SYfoXr92yUw2E09cyxjV3S1igx+fqWGvqXxjY9IC4Nx99VhEIiWp+EHmBS6WSL3wuRnRObuDjgES7iubFNvy/4M6Op40ExcEZ6gGcR+v/2LJK/zjfkJvEOg+kb3xuu3WbjBJrA5H5oTSwzyye+E7tZlNAL+FRp+kSBh8GYXXviTABX3rFG3K0F0SxQgckdMdNYTU+V/eO6TfjPzDvwKf2iiv/kH3j3q+xPnOXA6SpQjgBdk4b4WTMs8+u1Du8ef95HyWePlmajdJqv2W7BH/Dn90rEoqKcV+FPT3h56L3CzLWQIu5x1xYmV4ePPKu6zG7MeQ7oL9Nbe+/czbnoyCG28r/en/Gd7F8MWzLamLqcRxI++7sR8Is/5za0J11igccX/IOy1cKOF7d21lvq6PAgPMDJq3+I0GD6umG3vCsXO8pwpvFzvWfu1YCkrheO1AWDhwbNgvORZKyT29oi/4FRzzWzPq38Zw1JwUyO9OMqk8ADLtquwEsshhtBW4e1K+HzmtV+QTszuwdUj51Tqetl61aRNvUM5xo097NmwNKgs+XP7OAkRIADv9ymaOPKBszdxD3XuOXgkdnyc35nfoVV0L7/ux8hVt1p2VsrNxubFeybTD7PvUC/hh6rnes2X/g3Bc3zwo1kwb3SPs2OV6t28EfJpxU3MzE4c/BG6oOeZrUQSYFjDmEyUwTvgqpn3hLreaz68sYde0lAP4C3+Vs/7JXt+8YT/LuG2AdfwDILe3tnfeGmgy43eaxmJhu2c4t8gSZ3qj6wlZjaagH/4SLAcXmsCwx8TnbKcNWIjqbr5qG3zSyEu3m+3MxT4dPLf31jAOqSNXYSeuQvDnwXJm/hL2yt3bhNzH0c7MFqU96Mu6d966WRTKizMjmXu1LYea23Fl/8lRKNCzr2foD39zr7Ai/+lQweoLnePu/vn3UeqoC9MpQDaMlxOzcFPhK3PTUhqf56f6Zn6YaxP+tWqAD4zslD700CLhKEXBWCBgyur7rs1OBpE0ijwezK/n0DrTjwUZOkiE+AQedkjDmDNQf/b+POeGP/A+JgUEh6Jc/u4EW+wMOVahN/ccvsgczUWt3+xobXeW/W25s/vxdnXWB6JA1N9+ntH2vwdEYHcieJ+DXZ4O/DCJhEsVYF2qaiWQhFpqfLkC/xRXa9LQfQffna5h22sMtWZd+uEvvzdXfj1qDJ4d99Oxx/Pcjot6WwbglqOfmLCzHyEfvxwHgx/ReoKL0atI+ZX7F7rI8qXLvgUXzs/rbTjZQ7kwPak0fp6pf/ajnzvpseh3WE7zTib9yJeSLiNHvm6JFzxUkPHCNolD32DsQEImldTF2puSf/5mYqvQZcBOi9lwZ8Ax1wBB/2el87KVYW+KCsidqO9/Kbb5jH3ey2W/RD/qnDzt/X3020PRvMAL/U8iJwMOXVIeQRaPzToUvcZAQnMUrgdeCzgq9E37KESkEpfvU9eDM+kQr11x4k5rzf/fOzC+/TYwHxGjtbEhfxQ7ju8sCjMvgFfPT72UsT9rlFlu2tGXTAjB4dbMDRWDc6fqs3r3PRy7OvYWPyjAJbJB3pCGu/wUuBrwInyeJ/n4Erv7R+cOEdrMQmt7dnFukCsMQhEMPS5ObDHmPW+svUjKpN6aWifeXObaXR8Qx8qtUA/9szs9VXCj7PcAzoOPoXx9xMz0W8sAcNJpEv+EiRsipggMPw97oEK+qoH17O/q2HBb02383MQtBSgDly2JsZcGOc1sPkmV7GDY8dOcqP8tkHK5gBE8+JAC5gtgXrcAF+3uWDV0pX+aRDPejNhxjsijiz+ftRE/7ow6sMrx4dpyHfKJf+u/9gd/eWcuLhpav4BqWm3qsCbyRD+8vsP3MmrYqYmvpcEZLh0BEbR8BzS3yVS3muwFuVwMCvXMdK46EE/93o37d8OP3R7yb/23eY4w17F31DzJt627PoVW50lfgPXYU04BP6K5ZMLe/R1PAcCmzl0fTylRjnpratTSpHP+t09nZ7remzJm4HmOXJYLZhn7Yc+DDviJC2f0yF/dV0oB/Z9Z6yFcQ/m80ZiezXW/baX3/eV04/X/rQ/7MfAadOK2nrJS1Aqy/NLdmQt/3jYu0dlIj3tVdR4pAlW+pxeuNoe4d1u/CQeGXRnFUYLHWEqtL1L7JnMx35B/CC4QGjiV/7y64H762J0HPNeECyvTsFKWBAUkwyGTlWf2OD7a9qGtwz/gc/hXyn778eJYVn60BjR9oGrgX/ihzW+YL0/+TWvnQUeNWPpmu8A8fvlTOndBMT8M+POtS8ZLatGHDQkJi7sJaCFq2DySm70sMD/24G8JWDZcvjOlLhFvb61mFaR3+toUvD9Sun3f/z3IGyZFIV7AH62Jy7tE1oZu7436lAmiHQNsGa1cVvN3Gnb/DYD4ifTG58Sdl6X4VTlxSmB6gnMJW7na29pActasfTIf/hyjkPm1UzmnqRDPzhb0cG67Zm0wl8ZtIU/6EfgoNANLfs5OVfD6JxKMS+yeGUvF1wiLNkyWAvnwATYzOnI9m5/KcGYe/ojID2JZ3GTRFnh6LdMrt8pOJi03D1OAhTj+EXSbRd6iF+SMY8wOXS5OWWwNn4CN4f1D59v9oNap3D6N+bgZm8sbNakN105L89URH7yT/nteYcYFP313esfbZf1AZ8npc50haDN1ROvBO9TPJwOoGvcECzB2yj302+bvr+645Zm6rh7gpYI9Fls4nFVx5sxrVLR//CLduqRW/OLZYDxai0CcfsuZ4TK/glCfmDoq3H+F9xOTRu6ah/1ziQhv8/JDsZ77FwwLz638/yGhft9y6f2Pv6XIUm/qf8qf0WbnoggYb3MtVJqfo2bYTdH6j6KItpW6PfHhmxb2qeAAuEoo1nsB78TFY+tRq60mGSgDuvez0HNCHwLc7hsxBzQHc6/64rCVB8+Dc2tlUP+l/ICvDhi4m1bhxizqaPZGg7sdG9AEeyc7zzgU8fpbnnsps76KjX3c2gNE5MDyW2UXmj0YpHoCjt6dpY9qVytwsGjZyDLmtotlK9+lCatOA2bCKMRgSWHnEGz7li1JxtxxZg3FQV/Qpw4FZb/3m+8c9ZDNr/q2WwpsI2PZjNWY79T29g+cb6+23vaohh/ADMuuamr6uZ2wY+F3TOkgzPWRuO6huI7eAMT+GIIXNBnL/yo8x9b1SZXluD3kv3t9s4n3MiVp50FHye6bPb5qoLwH94DgMPzql6YMu7mr6ONT/dJSdnzH7ZZEGrvzhpkxWEEvafnoiCFnv2TS3IUPb62bcF4vc73fC3NCxdafqwAnRzu3ns3d8LDWfTV6IEn5VQND2Mz08ctAj0aWouksPm06lNvzGbW8CxFTD86+wracDHHwY9iyiZG+5/ZyZXDXAI+HABv96xwCvKgUzKRoWJK2z6Z29IZWahNRvEYQ/gv8/Gsq59/HWfEnDr+tKHhdDbe8lAwwtekE3igvddaBe/CbHOzJyQZvPb1ErHtSb3g0a2QICRzAvz4PNs7lASh91lyC3QlX26IXPWmfn28YwtnuYbrXl+feWmzmKcKLHLFQZeIBb2mRN/U/AX+4XEWcFLHulv05DY9GVjrs/TAnlCc7saTR3gv8+fMfWoAUPlC8ud5ow3eFDsdQZ7sZre5H15RTYomQdmPly5mDqe0mpTHmC3tuYrcHefgF+ANdvyTX8WwfWf2trhYueb7Uw7Bc+D73ubSzIQdOB6MjPWVC9N74rX/lqEaCfC+cAGvcujOMqG61eiyVz1aD5wWaqwdznHNo2Mro0fJeCqyY0B3jUzSwZ4/xBLv1zqbm/7RT7w5nNWoKX/26dc5lxg/Of3UGaRCHDxmmuIez0VfLivdhYgEeCRCqeQCH3mTg+O8tfN9L+kwmM7FwUkOrnM+KQu8SSazBn7tzkjZVHgSDH/1HEkx6ujQsuVEXqYXonJuL2p8HNmLkEJm1t+XN+b3gPtia71wo8cqaFx5rup9QcPK8z75aNywa+GiQVeJJhFEzZLyoJzMxo+/Hz1xjzTsH32HabMu6uuXxo33h8K7uR6yvJRmvrv7d/rQZz117/xTfIK2ADWOszH7b3WJr8G9lB+Nb0Z7qCtzFnoKz9qxuBOiAPar/N77sYCvJkH+FlI5JsazzMXLSLu1CuK9kYHYzv+OkSNm1CdAf5eeaHh/cQX0c80iTIHtOQtCaYW8MTmsKHE6L/6HuQcJTf4/gKe7YEL2Emj3Jl+KNS55oe+3VNLSxoi1iz9zcxQrTeqMu9lv+isGj8t8C19HpLieYYX6g/Ti3JvcSvvlNFhkbLQ/87Lm4Rx8lobFmiM+/WbCj3gx/KWuNkio1ibOsZkUQG21m+N+/tu+pA1vFmSJTG9DP65u7aJ6U8hAaFAA64/wF/+zMkycxXKUef5qAum8Z+8EgbMjzQJFXxnFFVRnINPuuMl8PYOf+SLvjZmhrANPnSYL+CPwFvfnZzHt0RMnIO1b6jc7x12zovs9VnpYWxWe9v3ak4qJfqVCNvu2Stz4Da1vHRvY9F02Ks35pz7Lz8m1ggP1p3xP1qL8zAJ7XPieDrdqDfYaxpDbMAav3xKJIMW4g7P4HF02fcPOmj57A0GPlWh9rFzt+Ys23r2t9CNu3eJJ5DUB6TQYWw1GfWO9Xz//Jn9Aj+szPznD8paLPnWwW78yp3TsPdabis7KXhSiV/PM/KSxnllx8j07RFRfKpQPCTBBT5H7/fWekuiz1XNfnzuHy1rc8DE1zmPL/rSAozKmiB71Vb02MQ2l2+Kmd7HiVu9mxrZ/tFEz3rkZz9RwJwF9PBTT4MHNrpYVqPpY+HZT60dTf9orsKfmXO1qOllKGZeu/45Da+v93VNN3ifRtMKC2+SA+j0iKdmZmJJTf+Y4KEi4CgLw97Bjxw0Heigoxzkf5zL4OH6VwyjFTDyhRRyUqNv7+yfvo5adIAn+fVYg4bZ2QT8HM+fd2WDBASCLWl9mlwdLw3B68I7Ax/2XYHBrMVlJqAbTf9PKdBS5r8sFtj+P/ebv0wussAbP1LAZ6+93Gxa529vxsK1+3OvGamN5CXgzNzJ6PMGsQgmv7xVQ7ynS3Y76PaLb0j293f8P/36L439//DX/3zW/3zW/3zW/3zW/6/PAk/1tQdffGC4TVBMa5ek/4u9d1tuVcm6Bp+mLvsLDsJtXRpxEhKJSfIAeQekfiNIEJZkCfH0/0x7ybX3ruqI7r7s6IpdsZa0bAmSOcccI3Memh997rHOzdnwcee9DJNgok04dTUTz35EPTArFzSke6AmxA35ThdXz3fCUu/r2zLF4fqFjGqBWOjDa5Qb21VOg58cCj73mAkhfJlXIXBmIo5sUeeSyQpB/MwLiaqePXNgEA4htvGpYtT0OREIB75Fiunc9Kaf6dc+2uQRy+on9vM5ZOGVSND5mZEAN1oNW7tt0+V+a2wxvn/8y/a+/3PPp2t1PZ5GeLU24PWlP1ybFl7pF6qqD8o9neXhvDmp0xneHk/jAf7lX5b1L8u4Hc7Xw6w/yLLMn7em6nwYr395y/b/ZW+GOTychsP1/IAf+fMLjrX6H+f157ceP2+9OPbP6/tRXtuf99bm/1g/b7aH40f756Pt9f+8/PnZ6vLz1sfvN8C7wc/3wl+GeXNQ6nkZ33+3jKP8+Z23cPu23UeSNh/j2P6fQdt/vP0fzurP3VXq6/Dzcz9vXK4P9eeNS1tN+q/HofrQ66FX4thUaq9X7P10Of5Z0/p0vZ6G36Wsmv7jfPoa5XM5/2XZ/+v7f3/5jDd1/NC/ez1N8G51mQ6Nvuv/dZwPcNnu91e+Pd81nu/A32V1rf5lv/28tILL7eNfljsPcMOb9whZ4uGuaj5/NYtxrCJsNN7ptrelLR+OnTycWzPo3dG3e7JZL6Cbjtuo1R1cl3RsLxV3zu95fJIRvqe6Eyz83n5slv2wfojH65yS3tnbPz+3PbqWKOKl4uuv93w77zv/uA1VD7+f6O4wjXqd4WdW8G/3JvqA7+nX2869HzbbD2kp8LcPeL29g+qE32tVxeVJesYx9fqH/uyKMzsb1t+/v/XePuCajXTztkrJFn6efZWghERuHkuOzsKOb6CG9Hd/iaL5SDZv8Dvfn/3x5/P05OXviTelRdfb0X0AT1PNKNS2W31sPVDFPBhF7k4CrqHiZisseoffsyuOjQre+/n+7UcVsklYrQHX9XMtkb6Ptz/396bv5SF4ud7qyRqh//Lns25N6IypFbeNRS20mSfWx+90bO65Icc/u1kpNdkJFP2Yfe+2/7yX+sjl33/HiFJ2/7OTvMEW3rCA6dOCBJuuB8/llP1kRnjZMBHcT+m/EXNr5cN354pYn4wCg/z5OaI7ggY9+85+Wd+/dzaIuH6jS4e80mYXTP5k7AzmDsTwnVL/Jo3slrE3PR1eq09Xnzo/vwtQKaBM5MiLzUOnFFdBl6iPuwAmj2xYiV7mdAlKZrY3ZuOR0MtZ+KAEeOyzIN6B6k5B2eV4MI+64xUKr0WuMod37Kvq2l3W/U7f2aaF+ExD5KSA3IdwUrAasPagQJY2l7Z4l35vEvJxY7rToz99Hqi6MBPQGlAzH12IAvNVT6ri/ozoEJxoF/CGfizEnwmJ9BSPZ7bW9bO0FNLdjEGV9rAecxMKfYK4wmz6Zv+VOUX5GMcHUBuCSOvgKRcUWY5ZHPzf/fPJ+P+f/M7/2z///+/6/+p3ZXcSKt3JZySGmnKu4oquPyvPDZvNGrNia+Z9sOHcP6fcCUtdkRt+ONIDzLYk/Kyanlm5+u/w+/uqmAa8xEoY6+d771UfT4K9GeXjyg9aCUfbGXXyhNjUi+PawmNg8MhdRNAy1gVFbQpBBzXxyF9V8GduMMF582Q/nzWViJkTKq31DlT6JeuvChERMnrV0x8oIqo4eNlKHF8NEW5v5Rg8r+XPn+0NWJOdseB3HXDYprhzjzRoHs3m8lTUgxiTx2HU3febW66zBor2nYXmDnGW1377WUUnkxnXkHK21Z1eKsAXnbnHuVnVva5KVk5uuyzXNZzwnbAWAe5ZkRO8qsKgTXj7u+t3YMEmM1AIMYqx/PqVhkyf9FnS+Nld0ROf6OYVfraZy3xd/f2eVCzDtcht6QL2fz/jskNpFcgQeShsOmnoDMpntnFifNgpN/RUGrMp4hXSU0A9aRw8nTG8/mJRENKFdZKpookCTzLhYDM5p0Rt4HkEeR8TMlyPBz2Ny2pPOcXWzpZTZiqULG2qq66fmSuMNTOzUZnZcswt866zLokfi4PvfHIqYz7IF+b/3T5TSu2sjyEO/dxfbccd0tVOZq9P2mfi+Y+dJTYVxAk5yKcdJvXmcq766QosvTv0zgtg8BU+v/3eCTKUffDjDabXDdjKFY+yy3rfFhF7ybjzmRC54Md60NPxgF3vMzuepY33uRmMlS/HyvABr9Hz9PSd+5neleXAG2w5iJWecrC3nIIxNDGuT0NxpyvUm8ifU90F9u8+eKS9otnvM+yX2oTrHkxBrLbIPeyg4bcqUndHtvY2myX4Td4nBhl7s7SnU5pfPyk3dweO8kM0hXpihyy+Kz/NuscrRNmXnkxOYdWqQk1MIbMaS1tXiKU+9pJhqzttPRI7eVbZPSqCeWlc7o21xgmXn5ldzk0HdMDIgFOoFR7jseGl7t6FpFmuCAksMbS6G5t5UNMiLTbsLLSqtRop5KKnwAhr/TdbfVYc4TDYZSZwlOe6LC2tA3avI+AMHr0lhu5o2wqdtSdN9aV9bG9Ooe4iUxnlsn+8ntNiCpCxtmU4+dS/m0BBjpIgIfvYZrR9nrgsaGkHFrX23pruqMCnQx9zNKBjaQdnNiLgSUF48Kcds5lfDxMuF2ozWIdSCQT+uheKZcwIrLzAiZ6qjYdglqZLwOcyGU1LYv17KgMLf55H0jUO6p07Iv2Z2O6OPtYWsNWlIuof9pDciQn/QpX3s04nq9bdx0cWUns7i07u4WndUOAvh445Sf6cKnR5lL3zVerpV8AjDwV71PRkCBqfaPB2Szw3A5vREwQz7sVR7htzM6KVDFlS9cjSyvIwzG5uyVMdqJbS+6qy2IoqOpf9NaoHuUc9embKgg32q4RjPXWmTIzgi/nrF0nbsunFd6ZK0/+cROiuyNwLGCLya28BNi9yBbzobzhMdKatqUB1/1mDES96B/TPd5mlwW4VX+nqIGe/tJUMhZ60Ohw2a535ukXHy3lnqbmiV0RC3fkM7D1COO+knqzl64wE8KOtGADrCwH4g8falC+UwTrbCJU9fu7SxlkftPVwfeSP66eAm9eVuzKUwP3VyCz0rrtzS9+pkAe2Ga5WRMXwM3ibDcL5q11rjVOacgf8GP95tkUSxG3Suc/uEp+SGjcarm6AX5HOjJR0rgCrX6q+Waph1pmYNiJ6orJMq6J14T7e8xDFeaA75MUZDc0N71BYjS5c6octjK2VMXVKwnYPnDhgXG6ea0ipPOJQkMRUjp62Dv8OXv9xTkPZi1AMBw98j6497H/cpCUh9sOfo55s9GH8I768oyAOpIGer5OSBhBff7PrirpTnyWTX03gr1I9iXfszzsbF1KBbvbaLWFK5D42kh77+0Uuh+M14QR0GmjB2sNR7vX3xLq6gG930DK4Dj/AT+X24Isb2VyLckDP70q0PzSLvyAPNFTfdoDLLVFtnljZmYavutvITXfqFB1oN0/9B/ehIYv+ijt5fhUyEJU+JWV+YhITP3F+kyzyhXTJigUfeqLtnBj4rifSE4o1lpxR/rrK+8xOiOh2lmx3ZhDLYTpW4eucE+Rk1tUH64l2FrNwGOvpXbecbW+iAKQM2C6PpmfG9mpnrDPqZVYVrkkeJY9Gwf2RwEz56j+eRzXoLp3Sfb4WZryAQDmLUWzBbojIX51GSQsYRa8nwouitUj0m3k5wr9kKGzfxfHq0vxyri0n41Ton9vslpYTKt/l0J4A57Uauzf566MOpgce3wxk0pWI3ARi/ZEM5ksJGIjhs/PN60J73flEV0DEz0nh9uEfXKWiFwt77t/wrvIhPmvcH1YmrKmhdRqsJwdbMdhx7aeRiA/c+WrGYC/GSVTH1ztnrlUWLtzjb/WgmfApSEFrNRxbjGJFuxZjnV1ilbMspn3ixwZXvrlf1FVs1lMVfU/oe/pAJkdRHbp4h/RE2CLuD775D/v57bq7ObC/4BdRuFGiRRb6lMc1QnZp0DC77R/r7qCnXJvuT2VVJGDN1y8HTs+AiV+pH6h6SOYqUDPwla+6w57s2ysJr1vkB8/TuCX31BZzUTbAc9Eg3gEXAB8nNw3cWE9gSyw01V5rAD8vUPh3rM2t/nygySK4fP/F3+4nG7Km8+PQbR/1v6f9fYG9mPVRVxIFbWOq6BAJn21e7crMzsBnz4DBG9b1Nvh0ywZkJ/qzjYvOcn/wAnHgGgqb5ZKNcdGYre4EtFRe/9AVETQIboyun1Ouv3Tn/rwIytIWEDOkrmL/e5xYMCC19J6vsw5vOGkdPKqu7icIxq83wJlBz3oiw8oAzn6mkfjMerhWa4L48zuV3Kp7ecn1BFedk0HkBsLw585ac0EBrkdWUvCdmmwBH6dLAxyhsZACP3V0LEUe/uaXomdLzlFJ7K1zgDj/f2Eb7whiW07/4GUnNsTojTyK74BZLQFrA7s4US/e1GwaOfgq641bFZQ3QKwlDWM9efOup6tUBlqAJ+9KE/vNIB5CKd2l4cK5eGau6O7Dp0rhQYCGOPStInZwbzzkAw7EdQF8Ywn+Q/sBj3Mz44mBLWDg2v+pBtDZ8q8WHgxbFCKuLOcrsX8r7V8OXbLk/vwC/zZUw8QPHjNSf7vKCvfOqZnVKrArT5XAj54cHLhBQKrh1QJstneP9VaGhs7uhljR/uO6tnfgDU8+rzNKf/6tcxmxrgbvxC3Jr9Yhyuz90tuctuAvyUoUEPUAO4EbflIPt7XCnwea6e4/JWjZLdwD+Nr2lgFg5GF5zwY80g4t2I+fnC2SBsRdOqU0UFc6XDe5hbN6/DCYGdzpouNI+89nne9NGRA/+GOb16nyxKks4rZepO7qcGuWeNCfpzVUM2ZPrQfIcN3SzdpuTDwlBVql4MekYBjW00JROR+KBnAwIMQo4T6D+2FoXxCXznfH0lGyw/F1ZkRNiRVDzAA9FgWPtGi7v67ln/v6tknq6ZOGf2MtNXTX5JbojAE9lTbNL7ed0XZoYBkvEl3ldRRWPwPvimvztACmAX9M5kOPMNVabfN6z321Z6Zr4u45EediASe7VQX6yhV8kpc4EM/ADqnVUDwmvsN59GbBs1oxHVP5PzBqEUMSyb/6DMFKT0p7c0REFz5mzmHz+uRRNu3UKEJHMHOrs/pX7Ph6Toz1IBfGS1N8SgI8BGwAD3py/Ku9N1VeR6wDPKeA2Q8WlDrbbsoU4D4JysMoWt2VXXhBrzMdkDX9dt1F0T+ulU9mHrUo+30tVWUpg0cxeKl5Zf4r4FCpO3rcBP0Abdh+Vl27bTp0A3+/syhmtQ3rHp4MZqsVp8kzfp3ImOgJrKDdFcZgR8BlvcpEae61GdjHZwLPvhn+cT1FEOcR8N4x8KkR/OGi7CG+J82hHp7QhDyxBVuaAS+fFemW7BrQA+o9N4CjDSZC+XpTARc9EOCaJFlQMW2Tfu2zhb1jJXFttKs0aCPQs0liC9BlYgU+q7MukRib74lTtQl/s2KLFSw+/OcekebIo6CBR+mvL7l70IwQs1saTQzi5A0Z8+VA1Od3FcnmCjynzYSR6PMJnxQu4RAz96bmkdk9G9mt0VPM+bOT+8UQxVQ19uRjU2X7x0VPXbaRb/qgmyz0uKocNBg2/rEfxrdzwmMX938wR1diFRNgmAG4LYad/WETy3mBePuyN91n9cX3PXP4bmIDHhJ1SbjI6yE7Z0tsQWy/1AUq8uO6a7jKaiMxJY+vuioGuMYOm3FQjpNz4MoU/fVU0tmAGGnV499x8enLwhfHQyTxc9+goWpbUlnVhBk4EHD9KAFuMQHGAV+cQ1jD6XtS2+bqyc2rwwtqYA3SxrUQJK7ykS2ZClrUi6JRuEqM+JnxdstGwAtqbuD+LOCr9neHS09+d8RGdlAyNv0Du4MsM+K/+URtSLC3610Cj03IB3BLdgReibH/zQGee+agrxOnptMns2XKQR9VFjKy4s0oC3wUi+ooX5cknFcZ0x3d2yUFDVPlespp/wAeo/JQPUTUnv+5z5lSBZoliDPjr3Z40vlRJlokZcvHmRjXpNbvAT+GzwMMaSek/Jt4rN+TIHjnnnoAJq+YJWNssM+m2Opprl8sYlu0qPdaZwpyxz8QFtS6Mqj73Usxvjt/hfj+X/GuE7pj6+9+HfNcN1c4QVwoCrgAMXgFmqTkmwv4ocRpDtpoeZv1lIHKB24TKKZ52LNKgXATfHVO6HG94p3cVExOB946dQHXF8R7eM627oiOv7M66YxtfwY76zM9vX0MBsbxfz7P4e8Y99QOmaX2ext/6WnRoHH09NhrNfT3xph1pf1I6cpAegpKiLZoZFFC530zBI+ddTLrcI7x0halsS4zywCuANxUnX6wuGeO8Ne33GJfv/rLZ7hULpdU/VNrA46ov+OIEbyQQiLg8IUMt+dcY3EAeDKyR2aD3y6qpcW0EEPRJohxwk92rqZnZwTdUcaVIzUyermBBlTg7yEegWMzVyRjuzBfdtQHOzNdmmievaDkn/uwqA/Cqg/G7M86JgEg13e1nm/qDOinTgFtZ0jS31I6X3WWX222+mfD1GOfBPhcUwiOLOGmBSt4eL8lnM14uIC9xrjq3Lghen822DX9XJZj8sip3AhThbJj23yhoLBj72kbeWgCP/i4/6d/rH/9A659hwaIRawNddXyd8at/2Gn5OPM/JO28bue4lBFHxahygSdfAc+BlzUv1Hy24UBA8LkedGqg+9sgd98V2+CXV4O/Wmlq8TrHvRzFJS6K4HwWHnwYy8xnJeGCyb+sQ9MmetXvun+rvHAbtXwq1MU4MGwt6iZGCYlxTSi3tlWx+sOtNyCApkkBOeZgVcZj0FDlHYduefSlIBfLQJ9lfOxMUG7Vnp0mVxwR+m0rcYPG+sJPaA76zEo/82j/s5TGXNdnV3359puYDd3WehOKAJ0iAO2JgnEsk+kM1vhderfF6HwCyJsBzwY2M4F8C2OcIH1nIcz8IPnuUNQd1sT4lOmuS3W3X8GdqrBfHI9mS760JWFedX3FtFx1v6Js3+xwVsNdpMcrzfS/5vzNZ54cK+000hmmps9+YbmVmUnUmoD4dDTG/J1kIRBBnwjrcEngW9m1JiDhGxBTzt6dqJLITbwEKAhCnhpT+lByW09TvckUFvaBaHw0JCY5Y149EbUX/YBRvSPfYATxEgxZoN88qobDfu79GeV+yKEeB2grjzvrWnKaL/KDQO0XoBqa9L7t12zIK/s19v68brkVPmZEk+bv4D6t0DDw7Mwblmntnq/I48QzQvlVoN6p2B7VcCSyosv5Sje/7lHUY+xXdNg8/TjPAiGZrjrbtJ3sqCj9otn9g88d5ZbCLBnirA+F/LegJOKPFdtCPc8oq49Sz19PXLbRDFcE3/GUaD7KG6YnuDmIe9AzTFnWOvDSe+lYs7o4ai757Ke/fdzvYyawd/3gB5XfQ1ob0wMMHWFQmQlwKUyWzwQ8KA8vJ4Bt6bGxm0esYox1QsbAy9UXaVUCvHSr73fbsInos+CvDgFzjIi3RHhuN4yvWfH26OelCePa64zlRvV2MAH//FswT6BBetp6//Wdm+G7iDRfJ/bZPbOuD85mwN6UkhvuxLKBY+OP8F3EOuBrJsSMMcHPh48MAc7AVmt9wsAW74rgavI7agB1xUhnPUm4B/Agvd2w/6c7MHP/xuPKjvfhnAdPWMbsaRiPZrZeDK0z+rqZ3jGg2TuNrE/jMrU3ZJfV5XSsb+xZbgGn/Cd3IrTRE9EGRlg7xTnQVvVvZ5SKp7d8Pf5oPHv7mjOiHTHWBMDFyqBy8YnHPZWHcYW/Q994dxRJPbw7N0/2LyveGbm+kyg6+dvXhyVC/d8qw7kb1fQ3J7Gin3vWWyIcjOICRD3PszUjzHtr9oXHkyxPQl6uzEYbyDCoDAuedCeCWM58GSwGUlF/gqcHomkj0dOrwZwov+iK7/3EebKxN/5Ij86JAYbm1ltiCNaGjMf7ibgXc50XhDo5apLDLA5M6OnOVf96kCTe/lYY+DJpOKrO1YBA70DMS040eJ3v1fntGyr4WPBHu6I8aErp7gM9T71dPtH/N2AVjOEEYx/3jMafm11Z4e9hUHz+npijBI8Rlj76zgVusK/8fxf3gv6Vp+3ZaXV34WBW2FnNw5rjMPJTQi1cqUeUldY99PSDDNgke5WIMOmCxwELK4G3GMKbEnha7L4cH3m3/yiodcn7510Vd2vfYItgXZ8gfVISL9yUq/tQJ+tBJvy3JgqubSKAubLUSJmBA/kM6MhjQHa3iOD3B34WldCzICbCvj2mdltATb+rB6khxHWRleaGD1ojOkI330qB8MGjJ3+wU3nHDjwP66tJ0brZap9qftXZ29sz+CnX43ZZrXCp4PXW5VvPM/oU+BwWwoaKyPJGbRs0QzO9+SfNFShCNlQ+d8V6qAn3DQDninHGGwj3oFudA86Y5+bwOf/G18Jzv/J5+cWOOCErfKcWOYLH8sbxPgLxDuiO0jhQo6111qVhxE28BUH7rEx45vek0lCemN6oo3PKjSIktpuVBGmZK8mVDBaGfoMsx2ftrHX2qdfW83QzPkIWtpCp/84WwiCHfDVAPXTM6diFGC3VaHtNTunEd7Xwfd+bwE6MK8XV5/DhES9GZRNz6nJq9wUm8Ywi70d3EUU27mlDEoUqampuecnM66rijpbqhiRNktkV94af6JCsXNDlCUDaleG+gcmb42dMY3P3IdfPCSBX4Ke4qFv8zB4SXLgJkYQSN3lwFKOZMxhkY5pqtL70KmPu7LHPcTf4gD6B7iCmxsxY4W8s9H9Ao1yKhkCjJkjHAqr7n79yyZ+u62NCaMuW+qBfSVdMtMQxOfPNSqdzwe83MALTlN+sZsBH1Hhm03U3iu6mmUkVmnIllRPqiimBwszp35cZhSAHYVrO1HyGSsVDtstNcRe0rmoBuBYozJSIjPiIycPg2MdUl09fqc+cvEwvcC9EWqXy2H4uMG1fK+Z7oj1Vx7QKJnqXIpSdzuzp9+O57qiEhHpJRGOqaX348WU+Fedz5vUAVqB7kolYEnFPhwWiAA4T59GwRZ0r5X7MkKd+vzOgek/blKpVWLg6eAHl2bZ2nzE2taGv2Evx9tymB+si01kfjzypRW8aLfYMDvApQ7z63eVC2DYgwUSYLifScgeKQlUw/G9GURW9eu4VNKse3HnIevxUtqAHqkk4qm/DFjnNCMKGApoW/9kJrrSJhTd4XixWAjXHm4X0LeMROgqaGajbrs0oIsxZbtMIaPpXKsJFGGUnWvb9TKdx+jLR2mfZuA6Lwi4yXPfRo7JWQD25f6sbT4h5pu9t13d2QysvH1JbLawMTBShkfg6SYbpZkS8Pvj9Yv012+O0XRs/HduT3KvvvOLtmd45hBTfrskA/d6vevuR3mocsKB15pv90yfS/XoQqIAdPSrk3vxLIzrS8bXPFHTCjRRBd+zBztPqyGIQNuHFPiG6NBxb7YmcEvta7A+1wcJPp57emf9fKrH9QtsL6qG9ZEY6AXs4wV04bnk04LMN4glcUmZfIgh/mxGbEovMCQ1HKmwWdm9jRiuUI8rWP8BKdctQctT3fVsxBdib3/jl96janyISRa2BPgI59OnoMZ9Z8W75Aj3TMBnPdnujA+nMoK+VlOruVwaxb2u7iwpKB/Qq/mAx9yDSGY57xno57KPBxxkBvj6c3r3Cnno2Kj+xvtrXHOZCj4N2MYnqbGBJEtNKPCe0z17rDeyd0DArA06gvqwxFIOwY4W/p2DvwCvi6SJMLbRBFgOtjHZ8MzHA42fujLIGDKEVRoJ1TwvDnITv8hQ8mwEy+xfDeQ7w87Ge75ZX5pxu0Imu+JOEBr1ZzFODjGFc6Br3XnsHV4zzNenuvtYVT1yQQuCz1ye50Rgx4xSvv7MgePJ4of7lAp4jtYpw9rlhfjcGYmTG9chLVwFnHMDdmSnFLiL7drJEBh74O25rfeSE6sm7iUvwOeYyqvjxYYA/9v1SaiPG/iYJY7rTw7Pdr/4EMNBI/t6UvKHmcO9MWNlwb3kzHDGBjg3s+VEiNo2wxo4R2MQ6/TAQ/BgxsUQVJy+O7PzdVgW21vZz0+OfU4eet8fG3nwvd/E63DWXe4z9libtWVe6lEkh+O6ELa6ajtJNxenHDMHm0GPOiSAex/BTjwaTHlK3Jn70yf+qcBcwHgD4qFnB4EN46/2QYlFDuukGZhDbHcpjblKuJhFsH3kXRDxMe6IF0Tl4BglyW6SuA5agJfa5YOZgM1hcoO4cgWc1XvCVBjSao5XwQC3dqZ8nt3EuhNaRttTo4LkoDBqCKLN0m4PHENsWc2HiHF4RtHOEOd8RFfApVVil2fiqb5U4libW0eS2EeB1p/yi/E4kR7TnQUtVGSm9H91yq0mipX8dE6Lcs4DMebAcagngeMEKY7oLRkh7nIJPiyOYI8PBPEtZW1R0unGArUD/i8Qdy6Cv87gp1FjTxlibQyc2W2GV0sW7lPD9okFvlgAvi9uL4d4Qr7cZFyAh/bfnTUPIdMTva91wMZq0boH3ZClJ6UDflIcEOOqK+fhOV+WZHPV+9bF3lidqamnoklcj6fzcx+76XBYMR3zzPtP/koGfzp5U2CW+tmZDHRmtn+vh8kkVmZTwvbJ+PHgNHhPAtcggVvkS/ZIOnTGQ2vUj3UluFR5GLdl169gDZ7nKTOsK7wO3L0Nsd735yqa7MxWwc6YBV2wAXHQynSHkKGxcuDQkt51he0LcPh36kvAMwZxrwQdgWJs6305PTG6OVc+GplyV3VEn/sbU8mVnsCuc4VMPYFjb3xYqCu//T7XewLhlVQR8GwF66ta88DNQHfjanhMqM6rjIJYBu0RsBk0K+7hOb3zQtq6srRhrcGD01N/vdck/pSGvCRdkNFeYhGpNCviQWM5GelN+5Qo+nM1sFT2qyUZpkpEuvr49YwjfWbBgqZDfeP1duW5gC1tUpnuZWe7V5ZfEdjTc+/LSDrmS9Iq+T29KJvh91TqqZdmRKYk6q7nrh1G/5H3oKDVlBwikZZEdhK4TNJj3b3Ck/bbIvLLKvGpnoZ0rIeLUY1tQsPtHdj7s7NPTPVE1eHVIDxeJeH8VXkorFVQJSNy4HksaZTNgjurRLVffACtbrfvMposGfV3FN51vtkRrtM+cGNOBrMvhzvgDg6JKU8E7EeGDvrl2MbHXOlp24/LWX5Xwur8oLc7NZGOvbeKt221gJ41Y56HU1Cb6oRGwZDGv8E34J6dPFCiCtcT2ANwhClKI7E7kGw5hKXT9L+5B7yK4hh8D/TmdUz5Nake63PqoQvE9ZJZLc/s4PStwZR/Jz2Osg6rQ4R9SlnWdM05pW2ZEDRgCpxSiT2s9E9OJxEJKlBfmuJ5bg6677KAVnIJL2dhs0sCz7W02q86RKe6iGew3JSCz+RR6XAeMKr8ubHxFfT6JaGTKvsEuEEGODvhjPo2I2rP+5mhpU1ra/0O3Oi55+CTpVwqW3wJ0EDZqCpmthfJJ+CaM+N+9qi8QABH7EuOkqTP5nqIk8YHXcMhxlkooaZbSr5+qUdWHQg7ZgascxFEInB7iAUZ73H2zAeoyYdzYJMrNX4fr9fGNxlS4AWFqBKwV9B798QoZ+BD9qGAeGytbgmXGfLvd9B/X3UAmkG92TurxY35cQNNae0Nw5YdjvePi5Xna/zEqDS/ZvVxbSK+WpEeMC1kduO3FuUXB3RSQlns5UQGMsqMaogfe9DMoGH2bNw+dKeNjCa31A/MvSU3OgcNuJvf6Mn0w9ZuiDBlJ557Dg/hsSjnzgPZCTwPthB1Ai0bX0XoYDSAH1nOLPzSqpUKyzG2aAARY3wDLpyckf1hizCm2JpWtYFVQ+JHQ8CuDefShOZAF9CaxvQ7AaIe3x714C8kylb67LMphDr06xTi9yz1/v5Az+Cb9qGLncT8sLgX3HDHNuW4NZgXVw07LcxqVhkFbqoYxI1yAX0I0VfpiRGfFLz+qb+qDrXIkBnEw2O1yE9g/T3wmGlvmSphU7KzJpVb+FMQ+QlcIQEt5DTHiwPXeNvZJ5vS2QdNlpa9r8/nVoAlhrC3q1K1PWD0Ivrf/PlHHgHP7VTchCxp2DRi4LHJ2Joy2jpJJ4qk6xew/SPvcISWeADOfyNaa4ziRZJ+bhYXlXR9SiLRo2FmSf5qJHy9ARw8H7wWuL98duq0gJ8VaHMBfSJLVOAdM9QncMaA8kDAM/IwDeIEdGBWIEzCgNRm3GY09mq7tXM9eXOkTjOgjum9UN4vwsvmbJgnuNY5jVobnOIZl0+6iwPE93fB4y/Ak4zpjja98jNKV1Unkezic2LMBeHXK7JiXaMAmpFdIO6OGWEl8FrQHUHL6bwBTHH1lFZOjQXgzuR02gv/t0tycPBjklHzqwYdVRrspfHAvgIR6u56eFEl8HzdHeHGI1RQv6WNYteMzqTpnR3mpktYDLGundNCTPDZeqqb0QzXc2aiHaH0Xpu/NVn7HLgGAzsoGd5kfXnnoxuA/p9yU+2TAn9lXTvjYW3Vi1B1H/90ytPT7Rc3FbqzsO4iF7Y4t+A6aFAkJOh50N8rS1Law7ON6PNsNEqi4L5f3u45aWla0Jv0XJ3HkCQGuwCniHPjvuAeYm54t3kgtzqXujS3Z2wqRYbriz4j3RkXG+XXsrLbTO9T17rGSuHg57zOfeY5eHXvvJRLcCp1LlrkWxVfz3UQ3Bt99hJOW8HNXU2pkW/Wbe3J93KAGN2pPlHZShb4gkjcy9FticJLvoAuDdwvymOHWHgCjC3kIJ7PK6+sa46soKp7/wb66yaNtZMQCvFU3kEXX3nvOyXHG9QDiQ5jfiDymBeg72y2LUmiO+lrbRjL8HSrB7UiDANXlwTie5otAjjB84z+ypM+NqpADYnuWtmBjldiEOF0a7zA0hM980h3+5/LvYmmugteQPcF4GuP2hLXCjRHwtUj4aUte+GknK3AN/RkDA/4G2bdB+gb8zc3tTTaT9B+R9a1+vx3VRJ32JvNSkZoWy5Yd/yYRC/71G+3YqSLntYJV2PI5eNc9g5cw8nZL4melH5rrOQmurZgprQAt4/c25qggZ4cwEZmttLd/aRHZ0SvudRn8AOjYIN6YpH7vY8TTSJfxBVxszgM1EZLb+tuVEj1Z+CJSm6u4HfzoLvlAjcedF1Qo0Bzh+2Khr+dBN3ajkFXvp5FKI0DB/s3g6Fa+mUHz5ZozOWgOQfzSzDw2aDtG6NtE+4kbJFtSYL9AZ59yeHazEl3k3PTUBmAAYDREKODSXed/T2vRKarCAfc0h2sN1fgYG/nplNfle5oP4AuIvE75qDzTQxWhR00fgDLb6P9Umpe/QJ4rbt6PZCnMPG/sbhEFqsSJh+IYwbc/Km/jnvQ2I2FN/hb40slCOhU4tvSAk0UuVe5JAbYiv5Op/L9JbeciYfMOozZ0oC+SLzgIaLJSTyX6kluKZ1NYkgH9DM+jDHl+eXpXzloyQgwpsy6gFfhdsb0CrwCUdHJVcnXdzkgg1MZZIP/wGb22C0ZcIFgV1rZPQd8lZw5mE4bzbAzFRRpELf5iN+Z1xhl97ZCxe+Z1Iw8NwGrgjUObiULTkxPrrSVR+gcH4rW4XQNXEAq3e1U6i7/3PTkAro2YlvglBCD43Nd4LAe1pgB6jM/8Cq/JXs7bgnRWPrbzcrM/SvPKXB2G5AoZCIlenKlAXGiWZWwDnk/3cDGUF2oXXK8hk3EKsSvC+B9BfwnE138jpR74h4CDewU++XDbuh8KUd3i4O3FWDik0fhUpVgAxIJa0pFKO7Sf12x0Y0Onov4N593H7BGeurjF/edh1CnVUbEMfeDG2A5lmp742P7aPxXCzN2w3p/ZBCkDuUup7GuFX7WO4SVcTF2ZrDPCtfOlGvCKmyyQqwkly28tvUkY8kdJ+8D+CidM6drCa6+zsGiXUCoziUwp/xAQecW6FZHHw+x4AszxaUspEnC3xofPeHYBG7ZlYQCHjhL2SNbGNei9nVula4fmbVfGmDXOWcBliyxJJFWovMx/TXE7u0d96ojRttBXMEIOJ/YXBzBp/gAIiA/rn+7TKYE6Vqoq1DYaYw76Hucwed2EGN3KcQbrvOXwvgFmd/7H31j6rpotEMK23WPuzz8MHUNShIG19qAmH1cq0Pglk0H/hGdzGp5dnG9WhCPj6XOnVEyBJ50ZCYGbtdeQYdUsG5RHU4pytdZTuiNMBVlQ+s2pjhhvuZZHyxsaMEDIdpRdEsiVabcHMt+NpkvdgkFrRU8J/5erIzhIwcsqqx4gD8t4sWsHvELoajLesAD9TED32Q7S3wS7igZMd507opGYss7PYnTuScqDiCOHXNAb7Sg94OabM5atlvkOeHmM6a4sHZLabsmIsmt6TIT1h5TDjGsXzvYhDgbOgXTHW9NCtpyC9gB+pqh97xXx6Rz98xySnimOQkhxvjOVHMJ6z0NFfAktFl7B1o+z81z0AKgWwEdRmrQkCnEgxLiL6wt2Eon/9TzqQL3MZam6yfq7ba3ywfnJkr5tDRFm6f+3KMerGUMPGIpO7M+ZmIqXUu30dMlnhxAjOVD57GCnb7jsDcI/MYBOLcoxFdpAdapdsgG4dIoAfyYBB0+HmyJdS4m6NrTgwJeJLp+iLIH4LvutvuQfn/PLJaVOleoi387gtFA19EHLDGuZ+C/V31+CFzVAE0Ga3c6J0PwAhZuM/vDYh5KkY0G0qHbfglGGTZLMgoM/Bf0DbYIkQnvXx34aSeN4pSPb7D24rn3le6NtWARtugQHGHtSl07isjWAA5BibG1MClvfIgzFsipsfSENAz6HClYv3cJuqxiE5eRayaK0Yzg90MH8ZihuwgyuzF8k0fxs55o4WG8QaFgmY2rxEdLFaGw7IFHUNWnuu4GlDCjbXcYtwsrJnjubt7QNSd60veop6W1FnhvlTKIaeakkvAaJ5b5yYepyo3TQ5q/+VHvBwI8SNfmD/eZLh8PHl6Bu7sF0nyzV2MDfDzjhrkznGNu9A7r3mxM4m1jSaO2VIQ6zACzMB6VxUaEq1G62eLSkqrbocBeSuPnJC0XdAzEdXiGgEUEtD/gBsRKvKnzq5l14pIxQFg/2CdE9cIQl5xJPVU+1tw4IW9mPeoek7ijttjWg7CrUJY1YGfGY/h+nOQm+p0el5txUvVMY5QtzNbBi7g0fgARbfpsjDmtetMADDpDTGRsEYGI3HtjOAUa0V4ac0XC0gRtA5x6vRWdgLiiNUBwTUI5okLv/fzWjS5Jl9i5McN1Ax8J5zuxfYPz+yobGeXszW5sf276u1P7zZ2HZg8xS09+6zMrjoh/dRNQQfR4RVknN4dO8nqzdsmwugFPOAGjGHB+fdrhng7TTp9hgK7uS8s8V2y7VP0c1Vab10vgkiKZcYACzAPAcwE6I1ixIu55EXO4fy8rVEFt8MnOjfcG2KGemjBIv7anXPaMgeJ5nnHMiLdF1rljDvo7GdEDGzHEmcb6npy44O+67RJwDriY7ga3L+0JQazx4TkX0stWsIIlflw7YVOt+xH2AzvxZ67z4MtC1xKWv506ZY9PclGgj8VLSrY2GdRG9JkpBmZlo0iynuVywOBLMc50R/ICizJ/vdX9NW42145Z8x1+OmUBBbSfwaeUx4a55xGduWo56N5njc+JshYddC1QGF8h9ulOf49qELtyaBnE8Dvr1U4O20dKxDvohbwGW8WjnOH/9+Z4LQW/XnAoaN193KrFvwNf3opA9iSSRlpsDbJZX557DsLz593im2B/0WEwTzRonO/O1QtgYOdbB3VaBO/v1Gu1/4S5BXzbUBdhmDY2mJLL1pJ+u8jQuNfENfOuzYGnXJOemgkPGMSvZyfcmwwm49CLB3j3Fo+xD/zunep9pNEFnefMFcfnpFAQM9u0JGLTUKz0/TU6LhiiB2xvBXAfYk8OL/Cdbq4lDROnUW0CthY37Nk980qyrlkgknzVeqqLQgmy/CUzZUaoE2dWc98/1llKP0zUobzx3BZiYd8w+ZIE0yMNsnutmrv4PocQLcQbu1SxKov+oZ9jSVGaEvqMlTew062u5cqBW+bhtGk8CjpqvqSe9IklVqg/3UCLvzeDTHcLe0/D6ycj2aqO2JIE7FLlr+cceH1S+HNKBTzfeVMuH6uUA5/iDHR4/7wvPSmvK7tEd33t0RDTymhvLBKmPuvILQwaJ0io35wTD20biOEHpWjSC+CA2JRdb9MA7NZYAytfd3v7BPqqdEDDUD2ZROsv0bnPc/NPQeA5q8ngg3jQKFZoxDvADNAtzhmNAq4juACmmMC3jJ19cpjHspqwiwR/TpY30G+g7TjKpMe+GL2eGgJxFp5L4wmbb66psAP21CnM8u+gGedKJbMErQsx43Hg1EoWJfTZT8qvA16ahyimIzLWKrEcAy9vsxi2N0SbB3qsFdihgYppEIWiYijBf4OBRHEuhnUp8/WTAyQV78+JjT6bAHS8t3VAP1k1UV87E99SdloBDwopRSyz5JZDfAD9Kgj8Wdutg8L1HgVxLOD3yYAL3achI65R9sDZQ933wb00RD1zexzddTcJghWmgYOU5oTrHPR3mRfxJrHmFuKbIwM9McvBZDjdQcvPBDQRJzHiI37QJZ4rs9R1su8lk2ZGY8DD5J4T7Uflo6Lz877CBnwD98YKdHnGQwzr0tKEgX2Fa5F00siAwzHqJLoHA/c/5v1CbxCbVtWSOHV4tZBCq9KWAcSIANEPm5lTiUxUVAMmiZU4yMNPjIqJUZ6bYoIIGjAETCTpt/POLk1OkVMNLamBo6YMrsGIfYh9J2mZPfhEW3cK7hmBTnD1ZF1a0fZajnKF/SvgBkv3ZpvmhnnVneb/fFcr7HafWXrimQggjsFr3c39pLk3sEUfuJH7KHs9gQG1NHBXiR+s6HDdMgXK0RYiWehZjm5ACvR978RsL3wIHLDTKe9k1vTO78Rf3e/o+6zNMKlc2k+s8zJDM5QW2mBfiKZvi8RTKfPbVW0FthxiA9Y2rMaf2hJK4hPr0T3rUYapeNkbr3pKNejzXtfubquuefJeuPf1BNqaSA94k4dWclS0LOICeMLMjMQkeo8NcFeQ7/ofPR2Y5EqADSI3/973Al00vpnYZhw0WICNKS154CTRySnhjkTEnvtsbcqR+Z0rbCoD2GdJB1lhk4WAWzZcK2O0N9Nw9qg/V2URbGSgvJRjD57PpxiB9xrOJ+O+xVX8ySHWVB5uWc9A9+jYO6maBc88orzh8aXyzZeaZudkPJmHYDrmUctAa9upFwvwxYuOYSKkDhlAevnBC2Zij3z2khcBSux2rBcx5GwyS+DnwPO8nRV4iEKE4/FXRtQzV+R+AJ0Jnxcn9HSrafBVG1PbLNkNsAiQM1mqZTsfQGeloWQ5b+bD2Eag9Ubwx1seiR3YxT6nrysSsjTnPcSsOeZs2nBfjPkixM7wn2ejNj1elpoDjvozSUYQ/F1cCt/5gu+bG69ZkEnPtBOqAn84jMAdF9ctFW75ADxgYGnWmzgZFBMjdstRLan/cSY9PtfDagXPH0m44CcHKI1rm/Unmy3bc92XTrLERu0Hj3JwWuAwxzoqH6DNSwT4fIhi4HBtdCCybNRUHgr9TFQP/BWDH3qcr8GWzBEF7a2CGJQWQZD76snZdhz4W921X8xiA40A/6xpdQji/qCn6BXuFoetndGPW901N2nhVWa6un7Zqczv/mlWOZRzbSq4F+ZSCtzIlnfRQ3x5rKcmhM/0xRM3NphKt7Hi4ODpc2oXZ6D9QEsBacichiQPzT9LnQ8QTQkf6JJEyAUNiLSWTjZXuNfsfAjnLNEdoSOF9o9X0En9wvz5gT091eCZb3OxJBcW0edlkbjXnlLAezZoTO6NxZy9AbrCky8ZvUJsD9JDpGsaJ3UgbivH7IwW/1zRyyLy6wp1H05pzBYJJlUe1xRFEy7ZlO5t9tzTOzYKqcNALWRiQ5ISOK86HvTkqCDw4FlchdcGWRGXwN9KPMT30mjfgedOOzsWlN5vuTEZeuIePKswJ7rzpMr58RX4+joHnOmTop2eNo/yy3IYGK94fMRDQEB93ZqxBP4XewkLAIO2dxahHr7vkhwhXpkCNCfe5kT3bmKm8Ftdc3SRS2In4PaV5VQINJ4YZQU+iGvym3P7ia32PTeDS06Y4sR3kmFlgS4OwAY/K/O04uNk5qH6Kk13Vy3sLn103Zmxk4GeAM03VgvELo+lMmivja1ikV9m5ssTcL9LoqY2N9un/hoOIZpR0Bu4d6wmECYNHb8B24TrYsnm1cKeLPYW6BHgMo0tC0wCXTeXNv31DPFrL210lh2yIJYK2Yu5MuQFQUwiFp1zS11xb4pfXw6ELXwgR+Gr0xgmI17sV0ydc+CSBw8HXE9y8H76GoiiXYiP3NKOv0o78KQl7wx0jfCQqoa40/6BQrbS+Q07A3/X4us9n6cv7637ikdsgBjOYA3viQrwIXBNnRsnCHyGrinmOMKRXHEa5DRA73hYt1WU2QfSlkR/fhDsvqf4UgHcs19hXfejPlalonOm8P65Vwl+4BGqSMLjK9u8OnpqLzxzwgJds9+ugHv4wgxQDrEKMHaSVE+CxAxwYcfDFeiDoAO8tnSKNFqS8wEw6kBgXazAwkVA6sF81po9mqh12ag2tJhcYsSBsCSrTBdhjs55aFoVabGgQYyK7VxT+Th4blgbyE0ea0oi8UkZ1jrqREaISIN6ZMP1UtqA46N7KntkiIE+95ZLFmGPD8mSK2YDznTMXwOnmEfAi5SY0yfn/Qzcs5VU5YnVnhEREBPW54w7EfPZhAYUUH/9lSk9Ef7aY34FjS5xZn5YJJTezvztoD0xqnT953uu1F346EVYaE/DyQedCJycvVShsOtAT1lELvDvjdC4Q2dTKJUmgG9gk0XyPfmYrXKGlsq6bvEC+sMwAaPfDMbl79RkARpLDpnFCXKQMcW0aP3aN606wrfKRA/KryGG+IIt36wLccH9NUwKIcDXOaNzWkduCRiy4oOxgI/YDROgkZ2Wd6qsDfY46E5if9ZQEMCxEXgZN3RfB15Z4FkjLhuvvwEnNyAW3/QZAvh6SQJlgJ47yv5iy1Dtsh7TOoxt4LheomswuuZB2NtDDs4n6RL7APodHde/09ZL82RKFWzqRVm8Kx2dJ9XY24VH/S3xWbZb2gtwi06fp5WLTAT4A+HMgvUzEDUZxIwNMtR78rjqc5RCcwXADSuxxFEEJ1ir+/MsoGpC3JedvJIuALbwdpNdrM8uQFvhrzR4s2uO+po0j/2CPukYl7RP7Dx0erDZsQ6nEPlBUVvtVwY6OethXW3RowX8maANxPEWdcFzTw9WoQTdjUEHm94hEiXhzowK0NpEOlh/dugswJ/aNMIjG+QDg7ig3GxLenEqC+eNUnlNW1EN1wm4QNUUjZ0McZsQXaME8R5g9qlhDyGzgE+sSMc+BY/3wNKMakHwcMoVPK/74bgeqe+vpB23HPCJcrkD3r7QLk6RIXvA7c8qvzg7a9owH214MYWJ+XGm4bwBrEE1a566stiZzQp01SdoLj3BamAMsGlzfdETNUFnVmRRn6AzQX/FA4G4hAgjjf/qCJ5ZQrUWVS2pLPYF2n4nhyBHkTrjot0K31jyoPVByT39y68IuiamewUeVNSRiGTk3mTfOk3YfqZEunC9DzSiEmL+ag/WsF+aO+3UhntuXHHlAQfeZwPW9T125W1teKbvOoeNhjpvWNc/TL+9I+r8ct6ZqAJ7iwkXaWatu3ww7jiU39NCdsZ1dYg+bLy5gNZHWRU18Bnxp54amRZiSZjQNeA5Ae2XkjgGbDo2FviPlVl67evj6zM/KtkvbZhv1uCzHwvyhE+YO8DPO6XdIsCgTf7TSy/JFep1T6I8erOwpfekjLkKpoJTQTK7XNJ83VckaA9h9kAW1mftLR7aPgN9/1ufwpGeUBsgf+2yKNP78lcGCoT0wK/D7ergM42p74BzAhsA8B52JZfvmVI3xMVZKPwOemt/4A74chyj0Z0QrGdpf1ilmlBK52dcriRRQWZPOdg8qe03I7PuCyvwV2LEe8oCB2zeqxXguB1MjaFiNrag8N0kp/DdA4pzQ54pLR3aBzkJ1y+Ah8GheHtQAjbHQEMav7k9q0Oh9PR2T9oqkyQOeI8t4a/mkk8FXAOn3OmAfxWJ73xmvbwlxE0ynWek+yT5KMxDHLNQjlTFp9xHCvy6BZ8DP8OiCQOL8+AXD2vyAbpwiqTdPqpRzcxqbpWewKSms57Ipc+PQeHfBW/s3IopG2KBjOCThNiAGN2XhSyJYdiCfZxTj72D/USVKu2DiheIu+owymdOxXc9HvJnXWO1UJ+tMgbxJZycvChBI4sk9RUSYzsltjISa+01w/ac0vsD+JyHLafDZnAEjlUm7G2FzdYCbL1g3zfIgs2aO19pGD/X8A5+s4NY7B3yK+HEzQ4Dvu0XedHxU3L8kjKtnYEbWabu1dIng6NtLt/Z/UL55cZ9PQ1+GiAu3WrDvGG/vNVLfM6Af6SbNa4G/5nreEy94CvvPx6l2WZpcQIetn3UngwlnRJstwVwuaso6IKWuDooSTJD+aABHjygjli2jlRtuzPlZ7MovVcCPh8bcI23nYHSAxED79mTb+ylamzqMSUDwLhAFnUAnI0EXt1lZj4AlwinXvfIBH3WNrxty6L9Kge8bcbJr404z3qBq+4NuLOiMpLDwTdT6ZstNrc2GttFc4hnHQf3/TvYjavrBST4StkHd+DGd31CiUEDp7zUfR6HZmSlzK9htmBc9pc7CdBVsBZseOLAVWbsIYjRvZEv8iwDeQINa5WGqYArPvHwHQOe1dH0wonOOV7vhYcLEtDzn5odB/hOxIyLCZeXAp/S57I26J+0GnW+rJwPQTCVx2sLGuYzM7AphotJ/GQFGr6sPaZrY59ab0Fc90sydX/SDQsNc2eh/OChqKQ4xr7ulfhxB9xrK/A2eKYY/MzHxvYuorZCoKGQET+SorcT4AxiOJl8wEM5SPuwuYLtOFnjt7+5qRicUKgSOGqma7g+dVfxjMY+7bYOK6ZVE8pS6v4chVxyik6gc6LUd3ZAkQGTQEeHaz2BMUOgY1Ndn1ZA6HvWoVLk6elJf56Xk/9vqr6tu1Ee6fovcbCz2pfBIDA2IggdQHeAvEJAYGITG/Prv1JmnHm/i1nd83R3OJV27S1V7bLwTxMZ9g/a7bc+6uA29ruZ1pKr59xV6OCmufHpaFPgHWEakm/VZzbXAWAZugBXTX/9yane82HSGYQCW+N9jrJ7Q70gGcmrXjRTgfrOuZnc6WkSYnoOliQf5R1iCFTX1DWabJLBTuB7z5Shpwr5oxoeq7I0g28KPHaXAFeJgel0tQ18KtQXHADushh41vSd+p+vHgRKHXKsfTJJZ0EQq5z0i2c8IDIH740naVmwa4LQBa57SNa4hHj9BqzYss6zk1C2ajXfDsPzojfGzL5S+aggpvMeYoXKC+3/Yn6hbrLUAbZqJH3QXzlFUgBX8eoIsdpGdgVYVGq1T4I4gr9nemftzFIZrO7lbKYa++Vi6mBhDX+IMFlKJ94frQW0xZyyyFvrQL0mTt1z4M/A+6rMURVzNS8tNVIneaS8HauirZTOLFmgj8b/7bV7q9jOTfa3pRk2C0Ggzcf4Vot5r4Zgk62QT33ZSj15xPq3gO6PQV+9PO5uUjyeZ2Yb3+9ADYmdIjL9ThkPJ5ZbNzd5/rsfV3zA+zkGNmLxSHmqQ8/cPzxIQTz4Rkk2XMxVjL/mBw6zjdGNLJQfgH0bGr7qo25wX+22Cg/uCThCCdm0LHR0dKw7i+KiKbAgiC8SuHW+4iJ3vQVig1ewtvNoEhgyq9jPfY1gTfdtYPJYw+anQqQEnRQStpT8+Tcl9JYBjwB+CNrq85lEpi11kbV1cJL8n411TCodRwno68pMrRqTRX3NunJJkjDgFVrua2u2SsBZJRZx/voH+Uaxs+Z3wIShoW3C893rjOMEOuQGue8LOBuug95K7OYqotYCLrZRXbsnvUobl8iyX/zSisukazYE/jsP4wePWg3x4wGr/uEuvIfO6ytYw3LkxsOzPDl8gt+/aiosc3ZyDrJHYyev3k/QEN49e+6AAR9Mr69XMnOu3yZJQBwSgXZgj6W00Xz2m4f0+y0J2JVSPhBxueJA+fWIdSIgAbsqqzr5OhttE9AcOLAA9+TeeF5gKzF+zW+G/wEPLRqKfe7sLOYiyajWJyceYR0j4scJ3HuG7clJ1sw5mt76YcczR4/Azbs82DzhuYAzLa8zDgLanSimWoU8WjLIDWuzqEF7lditmGZbAjyrHFuH2+pZU2LToX0DvfkAPDI1LkNuJa7Kd07TvW8ZIpoFbUi+jI/a4dcrzkxqf32vRqCfxkeRQtImHT9I29SebAO1EkS6TyuDn6esLQa+HFcW2QNGfjdUUxPz8N7tsyDfiTW5NLC/OEcuaLIoo/1TcXNudwDesHtxbCYh39Z2szSg0co1vtfBbuWitUWgPOImLu/VF8Rghcc4AWwyvT4z6B2KI0D+IWalxifASshNuz5noNVdOVfUOLGVDuRwkRfyNck4ldbWzvv5B/gU4GG7lBSu2S+4cvCtYXFcccUgrjvIBBXl/TNx5rHpsJXub/bRJSOD9dP4qiitZqsK3VfhkilOpOJ4bDj3q2B6nQXYoBVAm2+PeQ+cjPKL6JJt5krIsJ7xHI/I1388B8/BA7jA4mBkzvofdxyp9egoGzQTrCjy3Qz/bB4erir4hHw0+1x8LsmwfFRI2y8+X4Wb68kxkxX1VtrcV8O0ofudy1Z+bRxp6ls18O806WcpOA+Bv4He0l/AdNfEJVQwWG/7mYHuJKRTsD7QExt/8E5fRGjdia1fz8WaVT3hu/vSmR/Ymn5EqE6/niq0fzQBMr2uxsfCTr52tBpxj/uH4Rx7yK3uuZP5mbYW899/4xU477Ma2n1u/bObXl5yFNsJe+WU2coH5fDVmxrfC+GvR8aHIOmztV7JFwFuJq3JeKh2wMl4Y7fJ0Xo8AJswBi0H3PRYcT031jLhUB8gPoMKBAcLrC0BxlWuOAdNfXhpB1j/jO/nfUobWAny18cW8oSZiF6yDveAi1e1/2emPdvYPJ+D/7tu5xCvyVZqGZp+PzMF0Wi9isF112BT0fia99Msv3avST9dM9j41xuC6aOE92P6VUH/8UaX8FObrdmrA960kaPp8+VhZnyrQa8l1tbsoQSETwfWqdDsX+PechXoRV6wTZbPY8mAD/n46xXzjTP5hFmAcTGrfB1DnP2QQFe5tYQyMP2uCHIa9ikN7iUn8I62wKviFXi3wyylpavXxOxpBXqT5/+At6lOjfLJx8M1h3d1cuaPP24zTHuIo2MegoKwFjvrsK0siAMe27ggnEQkIWvs42CzyRx4v/0DtA8aTk55rzjJ4GexuieXc4DMGfuSrG2QjZ/3k6Ux4NGYFO9/0/7O/RTljvHsRkseeTOxYgrv2j1z/JMWUwwc9Vva8lFbPMDO7EFsAvcOljNwgBypNwb8F+I840w/qWO7tYWepnfk5OxEAjyqFLvgdS3a8amx+YEP6sCFNBqXKWuuBEsW5lyuidtcm77cZB2ZiU1mPHw+04B4DdJ5JmKB+xaSaJxlprOSZisoKbccVcfhHdWgciTVL27j5+FlQ9HnVo745+Re3CYErEPvNvMl6F79AL5u1w5bJcIjiRobuJEonXlba9DgRQnYujVadShFCTlonkq4omItJsK6A+8v6XN+4bzObK+SAXvUIn4q/fnghWJlPm9xh+ZmfXeTAWLUTEgX1lL5zTWliZtD6Fbic1OHaMJamSmQb0LrhVHgdIJ/SLa9cGuO6NgOciX/0w7WVorwAbjIje/bkpqedvawzkObNyv+qtnBkaK9N/28VX0P+L/czUTGbFQ469E90a2nLHufiX9GX5kpvsAhCWiMGJ/cyam67PoXhx1og//2PAokL1KjljHO88L0GpeQ03EMuLRWTlxmAl1xOGnIbcAXZJqM78vRxffab20cyqxy9bPeA8YO26w25xXBNoXcjV575tRG1zqQsTB74Zb69aRrrDYF7WO8WjQb20M1XEwn9Udqpr0Guj9a/1zQAStzMQGeBFxqmhrdr+Vz50JKuuQFOubRAbQ0s8X48jIFjBpi42Fs/KhF87yZSdG24FN6XFWXONswY0ucd4fH2fdugkMON71uUWCVHE3JqAvgjRXg1cX40APHk4kb31MB8Td+PoyfjuB/fl93wbJVDWybD21WD8TOw38u69n26JqeBMh4Hf8i/fxIhMa5MPVu/TUHRIdrbrIeyzzcPOHfVqr/nVZ64+PUGr/sJDR7btOYuPLF2RY6mn7MXZgC38ooX4CTb3j4D7T8wc5XdIB3kkFayDnoF+PBzt3DhrBtpUJVNEzbGLRist9VZSf740ogxyphJnFWazznSEpg5cH/6r52S62bTRXwfc0uT1ivLUe4AK5U5AU8B+JrznEgrfmKWexTHhcMMBW4w2j6jDPRfte+vPDwsiTOAvqst86BzAXXEWaSJUH70notDeIEcsVoaqvgGbc8bE/Al6sM+EId6FYy/sMHvAdsWSEuqqrwHlRPGDTBhdLDtSpMjxepaufxrHp0yX7P/JuH8XBvqNybacavvUozea4a0FpS4CUBSWSEPkCTugS1hHNvn4LukL0acdTipmuP+WomBEO2jLRWXDugqQLjxUeRCs8h3lANeN1bjtTGs2M3NfAzXzFf/tej3/hKlPY7cI/YUsZPyD9s8/DwPLn8GzRg0oSTZfoQKze+ls50gxshPCwh132amU4OQ42bIM94dmngKv/xXLDf1/9Pm7P21+uo6jcrrPNUuTID7dSV1nJLOnkh5tzCvdxJpLfH5+6buLJsBmV6/RcO37GKGkuaPCZ+PQAHFsQVYNHl3KOTotJ4Zrz6U/yT1Sy524YJaoEht4EKp6qmpcOHT8fEPu0Up6C7agdLirxnM8D7yXc5E/hbFFKngXYU9SCvLHvZ658M1sl5iJPTKilggOlzfdU59A33fMC1fTXEEWX8Xtv8qxoChwetDXzYbfR0LAspypGngqG0HvlExTSzweaYGfxMVjZs9/mQbSkiLuhtPw3iXDqTgJwImmt5Pde2dFBbuu82oSRRw6KVi0/nMN5ktvGXBQwXBLTG/J1AHPN+HmXXXOE9vyWo3NCiuVP9eT9a20cz8gMNF9/UoaTI9CAHz4zzVFLv8oqNlDfAX61FMTsUg5Lc4kdM5Re19SEfNVJmInDAtszPrios7+fxfZOYydDF1NIOLyKEFS6UxwP0n5kmI0emr4PZaKpBUCh2ee2ZHxqOOeRZ4Jdbu1zRo9GtLsf3J1/1G2DgMWUb+NlE18Nsq95em045tJNtDUySgZyj0aeVomZzfJpZAxPwOAVsOAHeJzdV3z9E8DfX7H72+ZepWUksXFCIPTF6UdMni6lBFToGLEQpRTgmCHSKFa+M3ZbGzALx42cTLPNZx3tl4ZIG2x/sxunJQXtpxYmivSsiYCoRe+UvVAfxibF5TnxU0WF3IGsrQctA7vh8QrzO/Gvn5sMWp0hbdJhGgeJZFfwD9N9G6oulXDUlQ3vHLNtUPjO+EB3gg65NbUGH1srmL4wKkr51zgyPR+NJR5lLXS0qtsNw/5aKzPn88p0J20yNB14yrcAJNiy8OHRtBzK2P8QPAJExLC/s19qca8dpCfki6YiudHw/Dy+Pu9udhLAO89k9+yqF54iUdTD+CEKE0n7ldFht34xpfR64w0b8nRc6M2eKeTGRGjCkGTKLGe+JSOZq1CDnOYHvb/q/Hqb+5NVbQcJkpR0ZIOa48VQtx3I997Og4ePKrCXBq4zTUIZnHyeY6sj4R5Zm/pCFTtSZ7okzbU82JBn/sIF7PTGkMsHUpbawD1hvNM3L3ybJbQ33p94gNjxW4DwxNXArDkTPWTMCvnU4gjxQpWH/AF4J+KS3zeotuf0b136KUIIRc4GLEBawZ+PjETQsLzveMpeUZb99xbwFmSgXwfYt115q/Edk4UVnjQDfbCBYC6EdaDofu3U4kzSc9znDHV4PFkHIJ8ZHA72b3iJQyDYqe3JT9kRBM3yrYBlrB1HA7OhVU1HS9wW40UWKxD3Z5txCFVTgr3LVeRUaryMvhNxAWIFSOcbAjdrvbHjYx+dc8F6fZM8TBbqHBnOsnvOURDgRIR+BhwBXiiEXvGoPZpZbnICmOslgs2LUghYALeGrvfHnxfTTrXvjy/3pwDrZnjv1paKLC/l+A/zDeJq84aLtOSU/GTC5zJkP2PaueNi4Zh6LyHfP49q+9PKT9eXSDPEp7207DX491hOJ0C2jjVMKIrOvf8ByQT/wg6NYsz3DN8v79gG8fTlrVdHofSWrMuuQE8FH4JHwrnWUBgvkXbbh/5sLY7x0qejkFrNlg93kCTjvVf0WNR1wuDGzK9uT2CIF5B14kLjFXfAAZZA2awZab7ZProxqZss6ZGsaTVZSYKceuMwG66GCeXuG3P06a4PnSUyNWG1PJxlur2pFbeW2OI0uwD9wWBYX0AfzNnMUKS0y8T5xk5Xrpt8CldTe0W5AWXh+7bREDO1XDvmQ2VNMHRU24e4O5OhVi/XMf2uF9Z6MsBbFBXIk9rnZr3YWpswsjEjtc815pU0l1TZkfdvB34Dn+dzS/U6Dzn8Qyo+k7591x6Xw9aliG7cclqWBKD8X2H/hBvffryQE/eLgQwYx31APeMXGPgecqn454WEqz0KNgMd2RXV3jojpt3JJ91v7uJZDb2XwM1WoVz7ou7KlBz8TcMx4q7crd+Sr3uZg+EJpQV7W/ZNyfcjGFuWBPZye80ej5WKmvJt+/2wlH5lQdjPCCoUUlQ2AHStJahvdyy9Y4/20zTt5THo7/O0P62Ss3M81ZdOrJ8tNCq/lLk7MeQp7/p4hO6AZTjXCb8bTuNJkopb9xai3B90Eb3KHsjFuGdIljzDKKNGSoy03NaL0c5NYGpWd96hG7KuAx6x/nTvclnJtvwHbj7i3U8DUu+mMwy6/5kxahGZGW8wna1qZyKxE4G258m21egL06eFsvCVDmeYR4ZArQHu3VPj9MymmtGQamd48Gt5eOP+onBlwSN9yYVfcb99YuHg5nzyIvWdd6IF38Z4NBOUh3EcfM8CquxB8n494C9j6Vbs98H7y/dsb78sMr7HpfQtkJPvU90aG0Ks30PixXuvhsgAvqnDXvoFWt2Gd3Wu4T97/e5ha8FI8Hgn8HvjZVRS9899aVZpznUPcjzzyvli/+076+CcPZ5Z03M14ueSO+jBz0V575mnELBnsrrAcbxJ9Qq4lDPJ7VgPCQu4wfvaXczFJbEOMIeZU1mFlXO2VhqUNXB7ed8QLNBOInsTZkfNweYJ26aqw31BnlysHveo37Mpq7HKM9yAAHFhDAaSGbRradoVAyzrx4WjxOx3Ud6UnizP5JVh8Shyy4QFP2YBianpgOb6kxcXgUVQCJyMDRsD76HlEq/GMfcXGaQVtoWUi2WxsCLzzKAEXWguvpE200W9TZmqw2VqCRuSedDYLH6WtivKRIHITUZvlbKdPbrOlIs6pIy383CV1xJ3EmdM0sF7c5i5t1Dcr+akHjGuOvNriP7QLHIjYQo3vEA+gRZF0Elu5pqewoXzIfvWL7rJOTcdVB9xF18ZvXfacj8BbWiy2Vt6TjzP13jA8wX+vBYpWOxDTmRylk/v4nvjJlQTIIRFbj2t5BZ1uvAUWiI+70smaiu0bxNZBokmemUyryIvqfK4SweFr6IKABqz69gvyVnruiNlDeu0fOsA5HyQERRWY3u62Z0X7JMH8xi07Nl4akBtnFe7apFfmrHJf9c0jCU1vdbAtBx5CrnmeoxZlNv4uOxwcLWDNzmZlEckBU0ytyquO6AH4+aPcad+4ZKrCnc0YSetQfTX7XW84gwC+LI0Pw/Dp8oI8TE9sM+yOmYuF2avgI/xMB7L6wOekl5eUSwJrk6sChzmXRe78ecJ3eMRF4wJuWoDDgy2bfvdkBfcYxPZZvwOexn6u8Z760tTtPzLdhhx4L/AbdGb8q0b6UlK8yen7HQdTQUb5oMFk1RYKMj19K+evzkFLZ0fh/fNM6ICsGsH7ns7CPqqCSAkqr7YmTgqjWr3DeZhPosDfCTL+IMZD/WDqXSA+Tf1APJNhQZIrwQb8Rt3JpsAtITe/zqQ0C/gEOhowScG3CBzIcXf4c+CfuiVOG0udLakon9XX77yHAduxlYzTV7V+Gv7sA2OPcwdFSb67EYYG0A6i6dg1p7+YnyX9Ln7FRm5JKVD5SIW0EwdBftFP0CLbzPoPDoD+MT7LJwKcWQozU02ZOZ2bNIwt4FIBsziC79yCDoiJTY4n69cH95E9502a78Ka6o+X/jI+jPD9TtTqbR7psOFsozp5yime1YCpGAnmdmtVELGwfq9c7EhJySlbZZHoy0pEe4CVmME3zYB/aMC6UFBM0ij+UPnuJHjzN5tAieVOtHYqpz0eLYk5mhguSJJZ08QhZ8noc5vbanPmfDKzKWVwsVjk2aUze9SZ10w0G8g/XuZy881vuJjWs5nJNMxxs3KP0/bFAVYRziHw7D3wk8rwyJPTepCX9e8cVBSHkN9PkG8myHucm70t8c85raAphgx0WPvRsNuVDmQ6OltbWfoBPD9ORk8mhtEY73z35Zs6Z5nRGeHs1AhtG+2VJSel6m8PLpYP2R82iavv53Drkn7esBE4rrPFzbB8U/FYEjRBBlUexP1C4LtlVKc0ACaL0B20QZyssFbYay7MzEpn+pHaeyOj5zZix/JO+cCZr8lz55bjZXOy3yFK2D0VWJ7zm4sty2K+tsmg5tSPLda1mg52JtFlbb52d8Df7TlYBuV6NKXaFwL/cRvQiyVgYas60iXDgkU0/dQubo+WlsQFUoO8Z8qyRzbwMo3ab4hlXlrYzKWRpv9E2rjMmbomlmyzr90p9dv8jAIz7wL+PCbEfc13uG1qwyl7ezna789q9DIVxXc5xIDd8bUCbktD1YGcP2I/u0pQhRWDlf28XYFf+zL/556DLc2s9ruh6s6smearTmEdhaAdjkmYPMr+b98G4gy08aBLpU09S/xVOkuZAT+shT6CZkdNNGXw9z1eTDn11al8zgxilOViigRvt9TBSPb4xgqd1COB7xnbST97sEbfSqE+jg5+nXH0lfsOHFMea9A32fBpSadtIQ8EpdjytPBK0Ee5DGK3EtMVMIYLHliN0JiCPoR1p3891tCn/XueiQ52AsHaOLw1vdbAF63EKl/r6258zgDXZ4jVMO/4RBHxyiJ5QF7thbg8k/DTarTZtd9y+LcfOIr7lHpFaUs/sZFoLOIphKVy9UAcZUkq3yq7tEGP6ayffNBxr14YU/Nq07D9yWxmZT3HadB6oKtgXZAU1uFXTQ+gm7hf6vhYR3jBgfUA/fpWr7gDuX4HLK8ShuOsx3EdJGtje2aeoEvNPXC+AQ7xOof9AszcNwhZda+2SUCqmk8zZ4kjELwHrrxyUAXcu+mNwtkwfZ+7OMJ+q82e0e+eQqgqyAIHUpi5cPJD+ImTMhv0J9mcLMPf/+bCrKYPtxyl8TvGJJocEpr9pF3I3fKJgX8CD/FPLvA6ZzeWjm3qLr+bFXjfKHPjm5OK3syyGk4O/8Vu2XnGs949U/xzHicmo/7Pg4sV0vix3TIL70Gn95mYzDh7AF1iq5V/kxHwlYFmYcDlhPHpimU1xn6ls3tuLZMUqs+Hy1qFc4UDRBWs/ZKjn3PR3useP3KOX9cK6cqvwE1W4wuEdXPlga4afXmYbjvme/Ar2io37tkob2r1fhLuHXGBr5xNhENezq0dUlrGmbWDmNE/sG7esIuoGOaRhpCHBv6qFXGy524EfToQFzDGVjnEK1HODNyUFHTQmrI5TQL7SlzjbSPfcqQOYogTWHkbWJNfiZnxZ7E7dma/EUuc27IrV2Ul3KxvmUvnr7Ynlv77IxekKOlhyXvtZ479dS70SIbHQsLPpaZxWPbGd4Lw8rlLU6pMnd8XcPbT0W3fyv62EGafFGq3meln6ueWWfaDPGeXiE/IcvyvN9DsY0B+8s0s8pLBHTK4hjVPxMylHeE1FXwvzcw0phbgffum50VlfCl8BDp0cwXcObJIA+PAFww4mLHeBv4p6+Fwryjfl338OuPYi0KJo2XPVZ/cq179nFYvV8b/y2+uBAG/gm997s3sPtWfdfwBGAvr+wB3F6/Y5nHDMHAb7wB896K6zKlDdpcu+ah1dqWFHFgY/51lS4R+5KDkyeU+rDPQNZcHFnIU4fLfWQW6b8RUgHQrGvvzkfEJGCd5UMYvVY+P5PfX8gnr/ASaKicDXMfRq9LAxZmcqv/Tx1FZv/1wHunwlkbA7Ffd5gMBDoTMrJajCrk5p2Hcsa9lL71kJH1exHnOD5sm3F6bIi5Bk99yxlzIz3vGYzP/0RNFG9YWEZWQL//5nvTTPucIxCfoQidZJC2t3H1/Hm1O8h7rGr6FmYda24RXI3CY55yLoA0S29sfbVgLYhtVjgR1scQyRHvK46i24nvJ4yPp5ZE7j9c+G89pi5WZ4uLoObHxT1Ukthim0ujaZnxfqiK+EDH3Kegy1k8x5Kke7n3Cdm+fffmVAQ9T+SwxSh6go4umnyBvoU3mqlCwzy2h/FUP4EEKCIB/36oCf8G9uidL5jlLrg1EVo2mvNSyrRCJ+dCeVDHZOQKdCzm5ZtMP+fWU8UyP0VvGlaWC/p45M8/MGUxXbujvXAvy5x1BrXgPOHlR/93nPDqThR1cGixlg1xlGGtiHyzJ4x9To5RE6EbErz/Aj6TJtdacEfFbFwgLBJn9hlsCmRs0qq2Gtmho/No/bBv9aTiYLVFbJs9/C2hSXg9mbjEXZ2rw0S6pH2x/e1B7ZdUUfwF2J4RhzTrVJ/10P0cXq7S9A2j10zmcUEX1YGoqmwBwJVDff3t6IfeqSCNm85IO5rwfd+dA/pQDMC6XeKBrZsDtH9BMheGjlQs8ly0OdrYj8OuQBiiSFmIVjeOkT4D7o7S0phPtvJyMzM75n075SAJ+awK4jiU3xsu5sqdTVhweZNgFjau2eYQjNRJYTmaennSkhqgUsdOYc+YxWJnDj7nr/aQF7qtCD9iabzQiGXYs18wfVmH/V+eQ6P5ad8H1PGxj+BmYaWnquza5AH3Ilj4PtE+jy7MJ5FZGUpDgn0VD26/DNiRsFpXrebmzTI2PY6xbvw7QiQ0z6BTekSJw2P887o5ViJ+kJ3ll9xZbW8ZX8gWZccKgk7IxW/nqHStOPPgVC7F4EmGWMQJq3wY8IgjWUgghkSchcHsdLPDrg0OeJwWu4D1cgT/+z0vHmSdqq0gIuZyjZHO0sWioZtL2rinCYePLLWhW2gT2j2TbJ3G9gzJnL/kcVBb6YCzuS8GeZOAbOgL3BJ2Y5sAfmUrSQkWmd+V1hpj18+mMcCxFec07TViItQguz5w2z2p9v0PMzXWg9yZf51G7xc5vz1xiZlECo/3ANvoi+Q5jTvyjLdey3w3AAz7y3xmK/do4t80fzofAg1bFJfXSvCNfeYcOkBcvCnGgEshm8A1FvzP7spszOrig1b4Uu9zPIr4w+mmBNu6Z6fsV2205crfibVEVZraJWuSAHRr9eX5eQScFItIk72KPBvJALLxKeyLExpe656RiO+NpfwTMBO1MWtCkklq6IozszYw6ans4Bd0A3/NAOllmA/nhoH8xmuK8V2FJ29e+DSA/8FCHB2JUh6bfdWmIZTMw0ItTQJx/C3dRCvnXkhF5w1/zjTFMADMSognwduC5Lu7zlZlaCRe+cVT5ssBjm5z1JGvK18Z65cqb8SC361CzrDu4rJ9nwWJuZkZzMac5jYtq1fBM8TPv2r5evdM5QDLp8J0y3LL+E3QeaDFfR6BdEfG91cwPOiOz1xSPuYU2dfHn0TpCDC5Vh08p+3zU1saSwGcyZnwbD9dqQGntSHoe5pmCNk1CMwun3UOatwRXFeTrX0wzPoM1s4Nq5ZNAHvBCHpn5K9hCWyrUa6/yt0Y9CbaO2Y8mcC8l1SswZQvy9SgtTgQ7mNrgOxnbjmvvAav5O2Pca5AcpN/fE5d8KZ2Y2v5ECPQ7Sx33yTMfdjagzK105cub5Q3WgplL1iXOAe6DPcve9Hkkixrk5T++l7sYg8YjUbOhFL4+kIF6LFfIyyv8tysRBPRnLGkAPLmX9u9cIuuxFRyVpYXWbPjjbI4McVVRr8qBTyjgjqW1FI2zA3zdTXU4zXC7K/dbp4T3C7gXV8N8yYvskfe84sz+ToUs6hCwKCJURd4hGXHQ6OQJnFJWFFE5eq9zh0fFrGvl2L7RPHVhegzQkXzNP4lYIlXgE3xvLxFzgjkuUtA7Z6Z/MvbYSJt75xCX8Nwdpt6XzG+P2mls4yRnZj1lRezVwy6Hb/rCXmCE/65i4Hnul9dkRXntWA8W2vI8/ANcS+5i2Dxra+cmCM9sJLOIvLIWD6sJPrd5v2xTyMKV1jashUcm+CVH+Ia1Fud8p2tWbkmPX+fLkA9QTtZ+kUK7ykU9cCAX8NxOWfusNfYlapyGcsC8yYX345Vsvp5sDe8Jk6YH/hUFT8IWBHkkkp0CTkgw4K/EGk1MkIxZ02tfFDiX2uf9ZUN7DDzEuxGE09xRS9lzXlGiGwi+zPUc3MdD3R3ufGVrTo0riu4afQBsT64na7eYegDjWaM65Yv9bqR+nOAVY+ZOr7plT9nxAhi71H0LbIqUxPSL2+WDdcCpOo6V8RPnOmWhdHKbmHmhueEypFcfWHxu8q//zn2l8YUK0BH9Dri/4k13WEGnxLXYvvCQE4pb2nFW9sse8BB4aUszFzis8fHp1amy4/Y/nM6WJ2e2ifZA46LVzJAGFX3lofVMQWZnlLvKJz91wb+wmOdskGne794Af1/rq2s6bs40jLfUU3HV1j7gRTgTKmxPrnErWAs6asvh1y4P1F2M3GbUy6ugLY23Yh2iJ3Aa0AkoaijKjYukClAJGGuJ0PSSYPLSsNL6NDMYjC/ER94jeIbE9G+mjOpDsr7bded18O4KYeZmhfIJOf/ORfAA3uhTR6FmPDzF6HGseZwG/DsTaK0cEpRcshyRvLHQC+e/y5VAfpKxiqYbhyyXdJDH+vatjuIH52yT63jNe7mtOzSIoXcFzWzIbSGzVJt33ClFsIVYfwNOHeGOW6Z2l8OVTQ2f8WUS4n81SyVgoCxQRBzNa7Z0oBMOVQH/e84bvh5ctWq3ZNtJ2vpDFuqjHgHtaPvFUL+euxbXxttE7ErAS84dbObXf9SImz3JvBJaQAz/ry7Fl2b+FGDK7P13hpqZlXn47UXa7/473/PySLmnq9HsSKoNt6atOfNTQiaQP06J8YelwSMFZMj1JzwbBzEIvLU3c4oer30bkfCpOIc94C+PSchWUJj3ctgez7RdWVheS1hPZo8ig5xn5psD/8Qsn9/ECGseeRnwRZ6Hm/vJikF7zu4R1mYq+CEJgcKEC63t5MU33kCfadC0fW4nW/jONmVEQt7asMD0wEyZ7GSLeQw6gju1KzMu2oIWh1WAVjmtoM2GJaTj9CydCXLnLk+Y+imp2YdAJWULqM6/miUPGCPFlvEv3d455aWZRwnfdTk65APSUcZDwG/jo+wsX5WZpdETc0Z7abrmLv04k6x3Te9HKuKT8f7loZkJuP2RwrZUkW0T3tK/s1GKTjVCTDDZsu79cWZSJCHwC4Yg1gErBInPVMP3gZzeS1MIEpzZRM9m5kQwHWmITS23LdjNzsd+W67Y+BNf8/yfy4CvgjZ9ab0gt4NnVpB7bsdpw7bXLL8twC9H4iOjUYABtCse4zAb7CNzdpapXSCF9CsnWEFnHyXt7zhAP0eLp42j70wgDGvnOy/kJXO25clpX/WHd+rYw8nR1zQC/OWfd+BfZk7wlrrv9zwyuM+nk9v6ZU8K08cImL9UgbKzXieZc1mO1nQvbXQ6PXcV6JkAOLstAtuD39twPdC1f/VRsRj1QH0JWsTUXcQU8M/MNGKg6cKKZmsa2nk28kQAW5WgyY2eBjxe5QrQtmbAEeaO+jxIHCVz7oV5sPVkpAPpsCv2s+c5sF91DkUVSXSOIC8VzBEFGRvNo1LIDovHw8yyKvWUQY5EFCkM+FNQy17IANdkapNYBycb2tb0abOhDYC3IsJbi+7nn3NITqVz2yr9mv81f/AVXSprY1Ng3inFReKYOpdyTYTqpbODZ0J3NgYO1WpJCs4z+r4wYS1suCxqVV5NEaqc9o0V8Z6J9poNy7W2FAMNe21AgxJXv3Jlm+RznvcxT5CacjGHTPzu+S2016AX7aIKSKrswE18fBGBcumoF1DCdxmovRr7DR3aD+mgU1M0G7jWI6PoUq/AGd2px5ayygK/9jdsyKWbvGBuafbiw4fNbflb91UPdpwL5eaU9HRVe+CMCzazU8MdFzROTU+SGuPZ7LpiPvUnyNzKeDiF/bPUsUXs+Frq4Hf2wau2h/jZHTvSOQKmAUb0wGnN3LkFcgHKej6fgznCISi8cLqnHN4jlxy4m5CAY8mQ3aXGIl9Rr5475+yDFo6yJwHup0z/qtOavozX/oYLP2eD2ZSyQFvpfnep2ePOI0wBkyrQPbgRU1f127Ac9L7u2seZwuOO8aHR04mtuq9tr0v89oh9ZaV+ANcGhmOVwLNKl/j4Bjf+qsUqAR8Kbm0d4BtzxZulcvgsjAZy9cQKNAtaPgn3fMBB4w0HmBxsGmH0PzH+ZmUaxm4V6FZZPGf03aqH1srZpwOa0sx/3eBQvzgbKcfpA3fvG+LH2uhH5iy333lWA7yHkcSZ0OScz2XJljENNHzv2BFBds8dglinlnz1vpRzsGu2RXmky8oKHrIgYdnrltjZRum/Wiwb1i3kOA33jp8V8KQkiv3MUYXxf4a3cMxtDFxYVln/e/bkc9vrKfe62iEQqyqgo9qLniwlaBsKyogUymqcf8/KUQlofYf/9RPNH3k+X6t+jhnk8pQT09d4AHkwJmubJlSHwFPustNzE5IIeJHNjM/4wDX1QflG8pgCl0+j8k6CiSRjqyvj7gL6vy5IWnaZQ0TyOsuG3MCtrMN75SMuB76cv2bQ3zECjJhyhEq45xh05em4snvD5AbW0r1CcQt5ygfmfpArybhug0RMEnjkT+OrKEWep57zU47Sxdbyp/WSILYhLjYEveYsxjZwOL8J0SHTreDisZJg1glHQHXITUZxe/Y9WTL8Qem78dOIeYikDNUDGCIFPT/QYf6pWLmBbxpiRl41ZlfgoWXjEuD7KKz97FFZ+pgBxyQBItT0MTMeMCswM7dDeFZhvL2z0Ysgtk9ntpTA/wMCf14H25aj+BswPmcuKvKOwLVAk/TLC6PirC8taWH43vzJR0APDhxQtydM8akKAytzDxs8GF/6ZGkcbJEVQUwjdua44lay1Byi1uJFbaF9/ZxlbfY1ej2wgn8oKq9C/G8/ikXJSsVuojzOz+HBIcXkKCfOTf9iVRxA5yxeSfEAejItRw7xjkRmTw/eY0jp8pTr3/6EnyaEOHXsAJiTm/UH+Bn/toSDPmUvD/+ZlQy1UuBvzHbk3CVXFU4i77SP7WkL+Grmse5JCJrZKH3AHdmb/egtAq0znxzp1rC+aIeDc8evyfAffoj3c1YNHF65FGb2zl9fQMh1PcI3HuUTf82ZqeEQEAZCtHfIl4c84J0apyvcy1Aj0DOjtis0jYDLNkHyKX1SQkwRFvzOI5qI0zLAzu+je1jMrNnT89/f3IrzQGwcbM0Mz3sF+S55zjHpAuMPXJq5B4QZ7mlTyb1SRc2dmXkDyDtUNqyySA6V39rA/4FzbEUdAG8adj21y6t0D6A34f6DvxlPWz6C7ranng3xpQkfDu3nbxbGUc3IMbHbDxIALytUAtgesedcnNHkG6+Jsy9vUvCIFuVWaGU37sFK+sOjHL08DT/NjAO3thafse3rHBa41sYWPnpi35uA9wR51N5wwE3X6Ka2GKwBdMxonCURv9SdInmvr4TdgHNj72hnzsmGnKBVd6af2ybYMvy1Y40rn82AaMK9E0HvrzN6v4nwLVuDhxjYw+wZEh90nZbfVcQH1WMPI+yf9UQTu4T32sKak22mFQYOFJ3DltQDJ7lPJFnjZyWUxhqnxgMqCT6taoC16syv8y8L8vWSOVrS0fizgT6wbk+B3s28OpK7fKytOYR88sgdGyVhdiWgz0ETbkmnD9LPriJ6d4BTw3rZOJWzvVSQY5RuzDyx0Hhs1exvz6HPdGz6G7A5H4McAegIGD0GbgnrQzl8lD7vcsRTiVB4tNsL7pQHXJOwQuuKa15ZaqqDfnv2S1i35D/12YONBCVrxeMYD9Or5pbwYsKwNomkxPh1/3cm6OHJ9zPkjSVIRr2yYoJ4TIyHeimDpcsKD1fOkgBPsGrAp8yNI8hLceLACnD1j3TVF7PjQ+2Azu1vr5xyldZyKtfmDry1BZ1AylWWuYUkc9sHixTkc9D4o/ZSlliV1S+NHXuw5iIBqwj055rZGskAbQXjOLf4CDhzwWG7r3zzPbeICvzSRG7Vx6sKyBc8g5fZ6KcaSEz9bM0duQc+SM9i6Wtn53M2+2Ikgelpg/t74BVDUtAU9MVYw/VL0X41SPnGO5SiyXi4Gu9twAT9wqgLRZoCd425heEZFegDfSutz4cS/AcwcXMeJak18ITV+KN7FmRxiDlCz8G/zclGC/ElrIPDs1r5htP2VmqCcKQPR+vfg4a8B/77One4J8WUKyZH4LdLHqAWdH8sEbGJ2KUnK7tX3buNLfzNu1ZUPo+qAr9xwD9M24n3NjP7kzLcSsgDDxUscz5oqazds2HzHXRblI3qby4n8ExTO3swPd+58cfRPIH8hQnK7mV3AP3PYL0rL+NmrlnmUOCBpidV5LtQgHyVX3OPn7v1tMYfjW5ZgrKH0RAsgPzbIYv+9S7dro1NzOwys59regouxPq0jo78wfn8dVqJC1ncwYE2npDGVV3UgLtVbx+A++6rYPdDQr3PO+amATJre0/gehUiPazBQ6WxS5y/OXTt0dmNOdJRaXoyo4MNHFA2wZypcGEQ02/1sNxFAHgFHPDcP+w8vz0yd/LrLtaq4DnooRR0zEoiYBfDnMkQfzdW7EMGvYPiJpn1v34iah+20tY36rP7yeW/vYFmRpYKCQMu6zZduZBgswUOuSjAnTrfcRldLArvQo5xIIbJgvVpvtkzAYLOmX0HTdrisHkmAazPQL/ObiIqpkgN29zs4ZeOemZjucW+Dmub2aBhAae0lVnYk84NsNjMj/MQG3TAbdyeVhnljplzbD9Bv23xir5AVyMulqfUaqoA82tfvvaI9imXmgr7BHl7KzuvrzlaOeuvmZlxB4kVeNjtZHtGn76VYr7l4eUpKLsbvw4Kefno2F+MgXKmXiUQeSao9UATRxT4PTf12jp59X8984DZZdE/agY5f2yffO232UpEZiEGOvmWwFqSGnVHx5w9SHNeD5oHdAqb6H88cOYp62Bd0cAFTjU19OAmYhdwS061fXHzPnv5EYEW/GfD90pUv6xcJI9MS4lZ69Jgomdmm5kAjAy7VBU4zod4YX3wbLjxm0U3Jg6bTPOxAlymFEfSnlrAaVyvAeAu2rNefjMb/83lbIAhla6mMpruKrw9z6Y2vYsjueJO+Hgo3Sk7f/27Nxrd5AD6KZpc4BxvEJv0txfa7E1xDWtZV2fgptj2fIVAYzL0wJptSPTXU+zmwe6YDZKLAsWQvzWj8ov3B1utzM5d0H9jTJnzDzSsfnINKGgBR7WI8bRsQSOThiLQ97pLhF5qa1eKYRuqEL55xA/ArXBD/7xMQfujW4PMJCFOeIAOfMAHxnVwfO5+cG9/C4ovOLCjlwdGgqaIDbZP81kb3wzsAL7kOyfpVC4dfmicGNY12aegLUzdds6Wl14uTmvgwD1+K8ifEG8oZZC/C7JUA87P+929DuZHbUFGEpB59rPpXH8ze1FHa3fDlNnM6Ejd3rnxPLLJKdPoRC3AfMBxU09fOZtXXv5KC36Ad6IzR0aVrdNziLyEqzs1e04QFce1vSSDJnn4D/5ds81R8FAj6iGXuaZXV+xnGzCFq8Gyju7U5UxeISZXMZAJ2OAzD1/+bDOCHBKoftZMc1irkmHt3UF/XQht3Wx935aAU9TtH3ScjKfol+EFXPD46FjXPOStBL6RUG9pQDcAHhRnhjENdss5uFlSyLKO/rz7PoBvL4brQN4rSM+extcM6/Kh+imGeOWm5oJZpp4k2QIfBF4wB2SwbCniMDFn26an1VoAl/ChBs1MRzSSoX2Sol2wBfw4n1/fa6hBB5gZOM0Qi5xzZPrnaxHL3JdFBfhWjyRKAYV5GNjASbsadHPmli4GzQzYnmB3cjOxcSv7sOKAuYlbQs7AwAX5CNxx0zh/e1/fCeSDzNkdCDtYwpzww1rCoCFI/2+VI3dZCLy2lyDDlCUG0CjOTpje82YlH1SU9/MA/GxVPydL/RiMU5Fu1X63hetc/+sr89Jfazag2NQ/kEC+ySJwGVMucxDoLn4QrHFAxyQiAu1XyBl4iQA1fM2KBPIFe9TB4iU990zdBNXx5dzLiaLDMys+7xXbhcDrH5T+1fYA5pAiY9tAOa2vRu8H+I9HeDspgRY6egvwJamAL4OOhRx7MLPurdzpnRpoB7DcPAetyqJsWwNuVFRTsp8PzGmB/7SZErsc+N1rxq4L/LYwPnBpgEkm5icb22sSSVn5oNTtVtT5HMtAPlSkgEttHGonm8wle8rM9Ew5ljQGvFqKXEycDaBQQ9mz4gL3A9plWB5AhV7nRFvQBCRF5IS1JAmPe9Yrw1c+cIgh781fyi83sNbNHB8u3feH9HFf6YsjGfDHfj4yw00CFeThdEkgv58jGSSgvbCLC1jjieIvL4LbVe7nBO93Zr6ynYbTLY2wmeO9JWFwT1b0uzemRuMvY1lVuMOpMHsN+pu7KGQFesNouhwt5YgoviVW9nu2WjrMLa3d13lsN9X/6sx7WeBCiu0DD2ZeksY8mjbnIMaC/buf9zfIzTgTnFwVJVlufOdtfWFmXnSnr5XY9ucB9bAmNubMA/KcTBlZy/xmzpa/61DGxtPjdS3qgCYS9lxFXpwjSF2W7tXaknMUx5XTmvMmCvmZmVkcBLCS/86e9r5NF4volUcBT0HzrtLmcdbr7clClbKU8cfHmbV8m93h/14Lc+C82I2HRmvjn5WdKQqVz9zG0ZnpbTyP/Ra+3LPaz28kwHkyKpEXPDP1oXwtt8CXUb7Ccw8LkWLJMgfiz5YfwDmPifV4VMP/8rL82vXlQDAO0YGtvcMporUDuBoe7NKa3kALXim8I4XaoLGwZJYKqyjYJuFuw543G4f2NUfvrowOj8TMibHjDr7/I6EtqXi5ViN74bwH7+w7DeYwZfGS7v8BL44/6uHypKBRIPayPIQ836M7CdlCnvMBFOE9Zbtv0K9bNgB3swBzwsQ5OWQE5uqoYbf8elE4WJvvL0L9qpFe4P8fIV9P2QDxEfKM+XiPKQqYrwC9SIHDeC9H/Z/zT6E9xZCfBA8b8Lw7uSQVXPvUMmZr5RWP+geY0JZGZJIBKc3ejKnhfe19YeCBte9BxLd7EcRWxtU3aHCputYXkf6pbYKZw6fSjj8Az4HnEtQExBEB7/jvLOHYP0dtCPzIlTYhDNhWzuBbMg6fY/Ipm197lVNu2UQheada53IFbRO2wCVB84DuIwxt8kBhs5cFUb4ktoroMOXYReZ8Nj7azMm1RxmSLeiWLXZQkXOUE2bOHec3ZfdWadmvPb1DxUgnOT5UA++zfoY1mCyQ16lkh6vw+Uog3irA17TAS8Uk4C1bqCAn0GezCGZRFu+g+7IVPkNMWLs0Ao8Zk98Zj03sHtNgevUgPJm18FwDr3zuevm8OUAhnnDtSToTfF/inwdTV5E8GveynPtP02+yUpZtTs7FrSn/AE73cR55Qhyj4/Rdgv5nQh0M7zlZn7/9z391y8j74aFyaU+GxOYuZcTjfvY0PJ+EsfFXlsRpH5nFPZbvPBygY8Y4S8JpzfJdmiCMuBssiZm743oD6Lmo0hCH//G53Yrg9ucflXNZCj958PHg4lWeKqRL4/sFWodlNE5rB7G8e99WFJSaswVOwL9rdtsQlwc15ANiyZzAcjuu0mH97g7/htKCmZlzpdLeUfL2VT/vAbagJJy93CKtCi8OCVuf9HaXi92mClSrLATcuT3VvvGn0qjpUGgmWaZAXaVozCyfiPQtB0z9Ss3wubB9lgPgClvyhE8/afRXA5NWhQpqv1nV18zwMPtNAGtIBxvQi7zqyXfpoAywKYGcvEKONLMRn5Ux4OjRW2K3hwrwqX4C/gQzg3zrEcsOc9EvTGj3jBrHzJ1/7RHloF+y0Xj0T1wM/1xeGB9X3oPeskFPQR58GB+4PXC6a8pud2A5t2SYH6ZOEThrxnp9KFc+KKtxQddE2GmB8yt5fM5djd4tWJcvLx3jaZnkq7bYeHhICO3cCq5KoyTdA1/4nVmIhyPEYOpzqkLpcie5H1cE72bCp7UNcvj2IjD+c3yvOnzgWic0xI9E9FuugcuAdn5x7FwsgNXzk0BMqWD55T2G/6j+37Z2LJcVgDf7f3Y+wO+pl+Ee+BEIyfMY5w1bPowvMYNgxtbFnFo8pMU/aLi9AM7jWqC8sV89PnOuOPfP4+VxXJmrCrTnwfTgNvI4Qlcza4oC+xV+vCQ0fgCHlGww51tSg0ahoLGcUmNdd+2zhmfJCkQI9Z402HZELKBbzBnWa793nhuGdD7woRxaBFz+cBYXizn4lInlhANcERtdGXzr0mqsnAPXHg4LaCeqbH469zfIN8ScvfmwVubMsgHTcKbcxDo6u48qerdBf738o37qCLiJk9jVF+gjikrqgz5zfs/KOhbYb1mhzCxhwKcZcqIua8fwrc2SCtlDPOozcIf/+P3KEr7Xr64BXtpi3gbAl46g5V+zxlYMiHdyyjVlCHLqw1Vwx3gIFtAcINF5URbKY9wjkk9t4pBD6cjNuUNdw2R37uFexrbn9u/eC4f7SxRrQ9IFd+DzsvmdfZy8MGo6MxSnwQN4uCQp9zIzi7kK5w5eLeief1YdAQfueEpDlYqitevetk3cK51tSlrC+og3MuKliLhDOXY4V3ts2L6tIK7lF3E//+dv4yDQjYDbzq5VHNnSRTFwds/ME0tYfGSr/Da9tYAdy8kikJv+OaBRR4LUPmOYNmIbgY6CNffvWlPTtx0XKYNXHh0crvmUF+qliWbW6aWi+FFZ6sJZGzfo/Vl2/AP4CeQ20DgUtE+PUNVrDus94gW/A3eGezA/fx7rILYlR8ZnweVh/4R7LLhDCPz9+Dxk14Z7f14f1SBPOIod+F4JaIhQCtvUZOdn7f0AVtm8kN55VIcceDnt+fYMl1T68MRieZSgeRTkR+Ar/ek5ewn79ea9mHPgNJ+Bs7VZ7fzNawsApy+55nGz/wc4h0+l1vR3/ujIIQeRyJx/AK4GoJhR7r+751H7ZOxBH+9OrF+eqt+h3J1As6K74nJLrOS3pp/22/Lcl5bxQX/lL6xbS3b6CfchlbUFjoKtk7VMxmff1MvUK16kY60nZ+OUv+/k8MBd+1CiXRtItFW/HMtVinwAnHUhb7l4SorsUQ+44DY+AWd4eZg8FQ9WZntt4hLQL/xqnIzygC8Gi8jv/GReVbaioF/X7PnviTv8hal+isI7JXbwVKFtQyz45YA+zoPhjeSZdOhSWpeNEst8Bq74qrch2pPYzG62tpYKtn7Zfz7VEFe17X3jgSQNb7/y0XMaJ9jmIX7jLqYUrpwEuCWRN2SOLUHvbQBHM6bVCQToHfgX6P3gmtgQP+KvzjyqGUfnnpdZER/4c3eQwbJkhZb/j6ir607U97pfKYB0jZeDEhQllpAXyB0QVxECUqWKfPrnZJ6f/V90rU7HVknOOXvv5LzIAW+zqOnry/SoQ52nbe1VQgcVYKJyfQ+0ypHy8JZxetKvaZACdBzgvkb2HhH4gXddAf87CUHfuT1exv1NOYyh9gKRhevgiCab54plNBYiDxTvmn3h6FQ55EcazIijmqJXTGxrn18mAUx3Axr3moSjKBEBvzGb1PbX5SoDjuOmaHrzeV+h9Qw+6Z5tLwLUYN4q0BMcJe74A8/J4O+kpzB9QXwez7kuUqEgbjWNsDO7HBox4MPE0+7BUaiS008qKcQ9go+uhv0EdroVb18WMrdziPWSmvinQk83ZfRY87EgndMzbGKV176MppMe4gdpqVMBKwIe5pSR2ms3mUkrQEOZjwI+p+3fWznNB7FnJEvnMRPeePRbCzOA7idl/wclA74BtjalAZrCGqXFl0e2TW5RDWyrAO1UwL78kBx4If7rM042dEj9oqVD5am2ytb2Xt4A95jFgBfV+S38HcB09dtXpACctHn2oKn7agk+6n/zDIyTuHuXefGsPQqcuPlI28b2el2Ep3rJ6JCBTk2F6GxdpupMBs8XsM36g4q9f/D0tew7wEpxOudx9xt7uTkeLH7L/Uz7ZqGDGEDPoXJL/VpOM2imnzpXm4RrSVsTKaxmhflTDvQCfumKHPic0+TAdNwaj6eyNYHs0pkyfAMuvweu9f2+y7b3GQo5ZYosJjWc5sKeJxbnflIEkS4xzSrZNfskj+8cuBHv/e8E9o6G6yTZxiq7APfltQN6l2gWbIBb+ZUXoOMiVNnzFRn0O5fYr0wzqB4TYbshAG8CzdEfF1IkW9PL6Ot5vvxxqRt/HJH5OICiJ8AngVcI+J2s+sdVmxc1TaBsj5nL/aGi9JFFqZ3t05d5nIIG/N/sKrTuz7u/t6MHnyPEO25wqLZNkrrgX1HzfXSunhTYVy5oak8vQogPxX2HeXQir8mpgO+xtljx1s7XbVzmjh5Dxk36wtY+xon79ebz/tHrnsr9AyIONJM79aCjLqrFRgCfP4txy93xAkhzKh0xSqEZRTMt8rHkXpzqLZGpG9/ljsJ71A/dk2Mp/UbZufR86lLrI/0vF70Df3qVW3yv+7uvzAiRN7jYvtXU4E/gUu6Zr8nBq59gK3sSNg41nUu82ADnt7NRviu5xmVETwkQz2SLY9DyGDBLZix5Hd14ytrmrSu/RUtemYxb4OPPxGgjnIApRMk5B24U6Z9yKDzddYsOgVcai3Ux0dHonLvnLLq5ZcBTNV+XbGkmno9Ntg1Bn608he08knEPMfUdexOITxCPipscxhNjf5cq9CHWaFs/eYXf32iHjgJs4J92WfBUAkadt+alQpHRHV/JfkYQy5XeFU/V007t4oIhO+sAeK9DnkdX/M5RTftkOXg0ULuvWXnxI12CAXgl8Ob1k/bkUYt4OcnJpy7ZJf3e9kV8id6kIhJJYmI7M8w77+IXx6FzbgNc9DFgaXDVEj3PgtAE/d7Rn9jr7oEGcOtIPIHLXAFLDeV+c8rtRL95rERsWD/jcnOfS4ewtLOzGP6u2KA5Cynw/xS4d1PW3bgRsrA9Q02NEMSo/Zzx6Q44985b/kk9kqhu7CDmbms7M20nnArroXRJUne4V55BGcMD8HtW5HRbDjrTXtNC7LU1avjMlUh2IQJ9PTHHnBTwYmLqh81xT+T8CRzm3efWLbu7X4fU9u8AzBF+2osj4xN8JhIAf8mloF7J7F2v+bD50sDHDpLpe83FrkZ+IHMapE5s7+8+1dBcjksBcdkvxWWy/dSDahv+5ouewj9gb/7MwmbWaK2UXL9SJ6C1Iw4Jqp960ARYSm9nJbB8HJKcLwVwLOHFUmPggv28oRxTyZsN4Pu/GpF//R2QA/FFD+y3N8uEEhOkVW/7NumVBs1aQpwXnHhioUUVCXQOyag7P9f9E5W2n4fUdkbrcLL1k4t+1ObrxreNnSHyaefaHj1liOvMiTTfrPc/NE/ftYHLcQFc86hPZA34Ia6k8/egWY71zt4rJ6CPkptCarYaVXVzWsnYochnZadf9W6kbKsDuRWfHOvvJDeHggP/76idd0VB949177x5b8E207FyMeHCNEk3mbqNd3Z+JQWNLDt6hN990A5fzhzUqxRXOsQLA21W294ljgZsVaJmRlLPcB7iu4j8BPRQUi3KAU0NSrp5n893iZsuZEsazp+rDHRDbWgMr1NiMD/C1QWNxKPE+AK6EtPd3qlc/wT8/kolubBeFfDefm32qBgaIm2OSYcn0IJeyjpX7OLhJN5nsPdXCRoV9s85s9jjEcQod/ygEDOViRmL8AR8iGau/wBesuHbFJ0j2wPcTzgS32QpnjJbg66KiRr0ZxWOV/Dz/ZmnSym+VuCfTu3od+zdJOiOIG7EhRfMwNtbJWhMpeJJRw3dNrZ+6pbYeZVonhUaDxnyBzu/L4mAw3WiLXusqvy6cPBnOQAfCLWTyPUjCWN4b52cufO+Q+xovw5s/+Vk29xBzzMKnJNj4tAueZx7cRA4GG1vMpZfV1KCbnLrBeK/nSnsAB96Va7JOQec6XCu3dgTrp29aGxOTlp4iSu83xyYuxzEgzEhVRQnGeAjxCOaLsJhQoPBzGM94IyB9uNufK1EEzAEMSwfFeumqHb/2Nm9E+unRi37ld0H4KLHKteMgQKE5y5K4M/v/RIuBNptB7rD8bjrTOdOfdq6XeAyoMbENdl9LSWvXwfX/+GuIBBPRCXVT9amL1gth/bYIY5+lf9mqNBLzR16NuMe9PRE3OKVYfp7Ps/DWZ3s3DPX6UEt+QLtXcD1rWRxYfuW8Z2CNacccNvV7vRkoCuzTt/KDXCVbnRBwQCG3UHPj4Fu96/E7L2KFY+0Ixh0xc9J/t7Rl6CNseREKreJha1Fu9xn4hW3tMcBaNkJ9OKB2XMn927PcBi3hwJ87lie+LIj5dG1c69XHrzPnAzqRC7rroZdU9EefH/tHBf+PgeAn4PtCLGhsvng4crjHTz/a92L7d5N0PwSUeKzZf+yNWmJIXlhhITYeknseDOBCbCk59EzCxXG4eF0BO77LL2xlBbHwGbo8vd37u0Znru0PolGF6ymkzYnG8UE9vgTtN4B/GtT8nVG0OpZhRNloTkxuXoVrliRPAg4alo1jI86muwdXaa7CTQcoXWOP4FPQnwzb76x1J0m9c5kJQNubnPEO+dmcyIPaPUCzZZmSG/oEiw18Dk741h5CmJG9yr5eGAdtb3W3MSpl8KQnfbMpLIpP4lgOV/WZe3CP4f0nQd7OXfwO14csm6M5fbv7SziE3dnkPQKYpBeALtsbtYsWkVTB9PaJXcWjvPRGb9F54TUAFaDnuM9mbWjDtKIPfXCJ/C/RLb0I0XNz7sWxs55Sw2eDw5wtKVeiNsYwKYCPg9K2nhTt4oVQ3wHgeoUzrih4bSVlwmBnQxSUgmKCPjHvKsxMF5Q49qD2GlzxLnDU+kfCvDT93slrh/buPxvLmDYOUcncADPvVM0qcJpjmRoBAOsrqXOUpHcQPt9lrjx4PNxgv+6YFeZXoI24WIuTb2o/u7afJDUGTPaAt8e1BsrmfLwkHmm57YPJgKOjYOEidoDP8L2LhueK9AujWUufuru60m3+FG7uKsc0XJBIs1Ee47Ud4UTD/jPQ+yCSbaxOe+AdyIC0e03vxcBB73zBfC40yHohZT3+kKXJk17DSqtKU/bxtAQe0yYXdZ3qAZtcGKkOyL/owbGkfJ4x4GHnHEQniMSJeFzRbbFfLBzSrZ/F5uH/9ZfGXouKddI42bFu+KRoHgupGPrDOYE+Nw/jcroRffKznv+zHAz025qqjwALazTarF1A7Sp+hXoRWw04Lxy7OztMWV5vLF8/TevEiyBS78DThPZe6wqUqvEbUI6aFx3/lVEeAfPx5K2e9btX0ct8cgQ6Fx4ZhqSGBRgQjj12C686VyDW6qr7oxPTCNsf+3aGd9n5hcuGtsv5YciiLSRA3tHOejphgziWqH9o+D6mokmSyS9VHn3oEAWVBRC3G1CYcxcSbMAXtk+JES7+Gr7n3I5Ab7iRW7xEXD1fbbsgW0kjAMhA+zQwEdA/4A9Go8NdC/lFUlBvLr/uhU9GVSk3TIcD/9y40EXsa0Amooj4Ky5QPa+32pOvjqAf6mWxsnWVvH+9lp8pb0xiq984LW70glWpaQz6L/nYTGnesFI2HO7bXGj7tOetwE3DN0yh9eGpuBt4siwWNn64JrHgVqa6LRrPlP29cgQqOE2jpPotydGrLb23Md5AJfqASM/+VA7qQt+ygGbujGAPSkzfn8wHkes8x/ESV50wQXYb5K41NaAKz6APyzwrJ3+SV1Sln04ly6915GzkSF+n2/siTtPaTfbs65IctOdOWh5rhVnWCo0N8lO+8BrFO0LP9l+PbXb3SB+niq3SUAProBvbDUiKmt1Ure2p1Q82JyRAviEbMUPDfXpHTcK2A/K9ci85la66p4w+iKYHE45uWbAbZQwd8sfqNR55VyfVgsKqT9lZ/aMxZTtmikx44WwWICGVYWIab0NrNr50BEFTP+dG7hYzgA+bP7Z/S5wlcXAzeSctgaeefU4Sf4qeroheYKOaJRlW7jVZdqQnT1jbCLgmr14TXb2cih3sAuyXgEHj2qmCp13Sz3Eb+0ArCt1BYbfY6C/Oj+h/eiW7r++M50YGkdGoJMi50f2QlReAPsTjxU2R9rrJ+d3wDTgF3L9mbr6nuV4Bmy5AyfZl+HUwuflZR6/sXKnO0dmPJaA2zcSNY+CxUGJbAdrDdpy3oHPHihrFJXAHZia7GyhpC0c0JtlndsaYtg3afbc5sK688bmAJTefi55+EwXClpVveNGwEIh4XUL7PlSG3I8D/jIYL/A19RJ0oMI4yLpMeyPrYMEXtCNkrkmLnNxP9mc4sie15tbmpOlRBRxaeczYv8s8LGMUkfy3zk+ebKNi5SP4bkDzHpNWYrED/hZK/JgqxA+VAivJDbXkumCbPXRTgeS2bRPkKbnVtDUnVzQUA/gXhvgD1vAhSjB8a7mc1si0tl5Cu98UbUzn2TXXAnHSRWRsGzjOW0bWaDZY9vAU0vnkkjkxBjBEcTW3MyZEAPwi54xc0/R+sBAb6dMU4H8I3Ad4MsaJVtRgia6McDqd34vi8iKdGiGKL7ISMtKkGsdOhnoZMFa8oJYcC0Hq6kRKqQfgt5UxF0/lKdH0aEFnuPwr6c1Bu0cOoo645QOIi3b1Ct3EPvyX0wBvqj/9YjRbf04bdbfto6M9anHd01r4w9zdCF3oG8MGYGP+LrH8B7kUUKMz7ygsLzh3OqO/H89jaMX0BvcfCsmmjPDh4Il7zjvnqUpzravemtrOlPQoxBt2nSVLORHofTfGat6TR3h6z2Lpi3d1iuCQ79s61UWNkuK7la/HUF8fQJf96j8M/Pe3EHHn45IFSR03nVtNBnG9ixDiD3UEV1TgGZirNVzNfy187I8FsYRfA5DXfNUfA9+Otl5Eydp+0yGFIkBR4mt07O9vLuRE2Tzpbh/cFRatFipgb9+8Uuabcp927vrILkvtVwzheMT2CDNIkdZ3p6FTsCjZAWcpj1FOuKRCUrHTImIXxB3BWfpXHOBSvEXVSZ9VozmHDnFuZ/9ynXeZ0SHE9ip5X1gh2Flzw628XgCbJJg8eBDTsG6uV4aBnyqq3HypBw357B2wb6mUygeNs+4ytMXxKiXbrXl8+gskhdw4FyH87UayPHXl4cGYp4mZUeQ3IHmc0dAaNqB/UixA3Z5Wc+6bY5JSwToVJdLJwRs8JO2AT0x4jPgRh2JyfYHqIbxUCPj2V6bwC4X+Oi71PzmtF+qrQmpp0kxCJN6Zkd61dDQ9yv5vJ23JtIodvkW8ETY/kLjUgP3VxAXQOHzepc+Ey9+FaZ42d5Bcqs5fPZLjZrx3GGjtnvb//eNlXuN6XfS/7GzBV9Jr/ZF77QabJ5x56q5f9MsBU7TPc/Sz4gbN7ZvLHDXG3zfaojJpe31vBtn21tMyvmgsLnQf/NMKIbXuEQ6/92n3N2sTV6iJRewmR8t/s6JJ/okjx3ggD8VYG1hgkyHyM57Dutw7x4d0Edb7LKt/Z0acJqao5ssp/ALdF5zYjiA58FHsuxnwBPggqJ853DWDN7j3102jkiPOTPAm3t6Jd2fhxZXV5p4ScI/zsGlrwo9b5XHX9yB9WF8le1Gl8kYETTzhGkXtG8PeLcCXrWA/8x8MK8C/fL5VcVJBBwftD8ei4F6tSBbiGOodvWu7MWJcBKXRhxUmKy41zDQBo/zbrS9QX4kMzfA6W/hgpaM7ujc1+CceGZcT1WocgixDwXY/N9zRYSDPu/UJhvMism5EOF4Sfq5pDt8EaEKKuTYXEyue5pXEjjxomU6BMejRWA5AkaonOE4kN2Iqx0dGBZHwPiRGXWvwH6Av7zvlzfcC7agbXAm6En25FkZLApJec1Nm+X6yjrLScmn7e9dRkSSyHSqX/sHV9+yMN7AfuVlX3hne87O9MS25kNjtdchqIQd3dh5zf+9l9Ecp/AMn4mLVykztpeQoh7g1U6ApsMfLJyBk+OBD81IhiAX0kmqbo7hecdK6lh1JNCoSWVrLiLXXgV0rXK/PAJckfP1p+7w+wzW9hGy9w3fZDETxcHIXUCL3jFioaZ0VMLyMSWRsndeXrn9uolwcuS2vjE39GFHkDJNIbdNn+Y6AA2y0a7KEmZaGdm5guiR8T/vO1+wVzWewvWe2q9IB5kETgv7TDEYu23su8XeEYlH1YuryoFIuutAD01DkWGwosBXiapa/ji+JjsL/UPz5l5twwf1/uUeCDsP5a3Ns42dRTZ+nHfNhrUpqlqcaq9ZIMbOms+wnw3spmrqzrnAvtlZCWmyxYsIa19hOpdR6MC6HkAXOud+LcEWUZbbPMjpKk3jV9HvLNqjQCvweduXJQ6Y0Q8704dJ+gBdk1G3KWrWfFPAIJvTcZZ4TMLxWAp1rKPG5l5dGXB9vlPgXwZsXN3BXl5ZTzbA6yHyz4AKv3OXYM00CA7gCEJ/Hx1QpP18I23wIsAF+Ta8wf72pFstFGubv/SQrWoL7m+SPuZpD9oNg1+ECjSCeIA2YAK4pdjSO3VXrxIHDvCJd5wnKaqf5YA3FPgK8Nug7J074M+O7YKIL2rFBnsPER+0GEEHNVHtmIaj8Ru46q6E2FvxeG+zOBJBf/SOnhI8YtB8dm7eN18IFzl+5/c+TzvugKZYuDdytsPPshN+AlyaidRhjgHss10CG17xsdSvqedDfNERWug2edTo66HR2rHzYcuWfCahAWGPL6fNH+BxZgV87Q549D5nK46L9qvNek+Apx/d0VFSgObVpb3XpeHTEdF6V4f0QQfbdyZ+qYhcbM9L2K+0jNBMnCY7eBzeL27ORnvUC14lirsKxXeVj1RF8bsGfFMh/6IWVdYQW849bU/MJILPPyKCiL9olBnzKAALYC9MwUgK2sojEJ3PojkkEZ+Tlrs2H+NssWir/ORyf9b9n0Xl6cNmVZ+NeZ/3XsiCn1VPL6KPX5Wpb7IFRSL0XbHiAb511/L+LPr9TOT4Abz/wdr9s+z3TgK/p7fETWyXFNcI0EhJwtdYo9BVxvYNiXntguRy3mdE0yVxkoftSVt76vPcmm/e3Z+JnCCyhp7iPnCL+cAGtT+xwFSglQ6ug4DTHIUA3HfIRuDxCLp+qLguIOLY/s6nMqSKu1OWYdub9jd/I+AeEXUX59rBS9bZ3CcdpQjwAtMbxASWyukqQDuwXt+5APzsJknz0auiNT8LJWk/e6nFMzmhlMUz+DAFvz+JkDypowTtzHveKLHagMpZZbI5ZFtdcAM+2k/3JKIR7Nsl667PEs2gfwgrgC+BJvL19ss5SfLk2/izXoI8dQrH9i0oOkrOfAIeVnsQDwcVjqTckfd8hxlCQVth/kp7f3t0NRjbKEUXfwJPvBHxd6n4FRTU13ISOKtYuAL9n9O+UdoJPg6gZ+rebwsR9PVm+iBed5M78w12FnAmktSYSPbNby5xLRt4n+TBo3VXGnVVW8HooC/EkGdpOwJ3NBRes7M9pgHj5Yk//aInL+LiEvRhoHd6ZXuegz0utVB35upn5gEYgg4BVkBE/5tnTsQQNOeIHNUuBMwoQFcEToLmEbTGpVzgsy3UAT4dAe5cmDcuCY+PlRvedJcC798D32qMNo3L29D2ZfmX11D3oZ3DcoH/u+rlN//Qq5EOU2Bfdv520dvZmfdFdavH0aO2N4crRPo8D0TqPp6zlgAmrMAW01XlPlc6Uj/ZgBvtNmCJKqZOUyQLLQn7clVU2x4/3gkH7zw9w21u/pbsz6DfT5zcITaMCWpYyoK0lOsrk3u/Qjq1/VpAvyKVKyRD55p1zQm4riq6+CF46APuwPN+uRUYawE4l7kiTz29s3UR/73XDBrDyB258CW4Zo6+19g0dRR7qVxHyiOPWoqftLV9KNV//YhUL3dfN9LD/uD4W2wJqVv8YnxegIe+FGrkmdv+wrPhrNllHvnNJU4G7AkEvpfrMXNVCfvqsw7ee+BIM9AqrgG8TF8l169K7Ffg01EpDNbSlAT8kTKzAZy/wSontRt/ypYe4Heyand9JZjsKWves+FuEPPh52KgJg5ZOH0oqVXNFPB251BJ4dVe7FPpBDYHWGxFJECrABeN1dDcsg4HRPo/yrG6zVmosDMSNCVdzAUjU9n+vWU7/M4VSQRgTraInkXOIenpqvBGQkPg/0scUxP0agj2p0iQ42tNdUuHk52SPcSv2p1Hnq0TaTACnjHXbhMeF/MhN5N9rQ/65oP1Tmn/5rsWBmLPSoVNl3h0Ze+EMvfPnIR+DL50svn3VffHVwg54Me+GP7eJCM5IPOjbouFt3YOBQLNATi2+5crg84MeP2Q+qAzD7ZXtMrjNz98FblZgAeeIB42du5c2WN4f/9ebvmK9HQDvPFk5xxn9rwH27rfBN5z5HrgM+2EndWKaDc+4K+WNCc3sqU+8FvFmSrPHawnH80vLm/hf91kBv8GcddsBVoHwnVo0X55mdvMibP3gXOPlMVTthgv2QUIfKJJXhPnjKBqa/MUwTZxcFPReDuJ0d4vKtrGgrfAyc1vr8UGuFFcRSCdeLISoT7ZO5fE+fsCDtonjj7qNnYY8DXAvQ/gerOdB5cMxEm2sPdb8RCgfc79WAg0vhIPcHQLXDzczyqawoztfcC2N4/6AA46ZUylupvKo61VZ+pD4qaXgwaOgkvh6LDemibhtKdGLQm2faCTme/wlXPAmPzvy+a8ZfZ+r40PhF9vEL9vlSGtjTXE0PdZSp+FYC9hczy4fLF1TMUSd0fEvaNL7+Uu3p0i9CTG9gScVNp+ITaEL4FwwNH8okztJRYON/RAjDgK/Hehdn4tLm5lPwHPS5DeNW/b+KaXu3vi9TOVeAUYz+ttujo4X48zDj5PAjC2EwPwuM9kx/1TLkxlRgP4YWsAqZKpUztqpbs/3imiDnC2+xmTXPf7RWXrnX2NjtbvXBHbZ+mnRE87z7gH/nA48xRR7szZli8VxD+eTU9lawF22t5n5gw1tk5zTvmEyyGgMpoMDZVfCtzVF5tHNgfJEGelO+U6DwKG03fN/rc01M4RicslfGYLxM8OO8CxT1WIM+XFmLrORkmTcdn5wANtV/8naLMy5esL//+7AEEudy9xn7dTGA8yBM7i4BOsbZyF10X81uvBa3jngm7NCnn1wZ9f9TBiwP6OimJFhAohju+ybGrpZi0hvnnAxaOj2yEW8llKPACfjEqQMzWa2X99QiT4jEt2CnCJe5ql8/sc+7wVLwI2ndizzYFs4BlZhtbZaSv2jMexckIEvAL2wfgEiZbKaTi3MUu5r85b2xPkPtNeDHUHPxdqyKI1KsM54H3zqiAWKRcHb22uuRF1P/sQp3+sfqq48gu3Sc7t14Nx8F0Un2oPuK7rAxJ9vXtBPxNbAwH6T3DgWXwehPf1oAvZ2Lnvtu4E8P+TeOKinHjzfi/QH/cEtF+9mBy4o+2jv1P9vIidakEnqGTRr6MT/JzNX4hDZHvO1gNdbJ+0eLRnbXWXrOy9UBmtGbWfDzn9eTfa3hdBCaqlCr/ettGCPWAOmFWa5iR3+i5EYyD+PHRUvAqv2dQQyOmAl0R2cz2QoJL4rtx1B/jPCdKbso2JCo0EXGSgPY4ErVXVxxPdKlPtgsTOPX2fwdLezjBT5BSq4F+/odcagd8nfCu8bBfYmbklCZGbeXoPmoEmZu9zETxAtw1pn4I+S25s2y3VEpR1GB8ExnGWj7Zn3a20Z67Db630p9WKwPl/JLftjnAvL2thK8S1N7rAfTvVBhi4VAR2OZPeOKSjtMKqrzxzq1qL0cpnch1rZBTE96Do15+VC5HNJTTJQf9yR7z5YRUSVxi10y1eaWH7dIPf8+vTztRSHh5LDpiz62CNzZRBfIa9+wAOCRGjmU7bv7fSMRuwq3+1iGlPqRh0UBp8qpGh/HK/1fL3LntXXv7MJb4+si3uwb69Mjc78IGn3o2Z6p0wac3riNLbETkxf/3xT9mfG8XNR+Jx/4iKJ+swPVp7u6wP2hgkPFUk/dXjW+qQnflQuXjrr642o8dhScGGD7JbfxMH/HkRYNvYSweaidAPWDi+RBTOGSYIdNYHccdt0gZH2YpULwFw9vFBPI2q0A8TE1xqTpMSmxFeD7rt632+saND6EkOeJ/dn0z6A/h8xjtt650D3Tm5DhsFnJ3JnqblEtj7zJOQjjouJDvlOk46hUFrbEFrz4XAYL/Onrn1rJ3roiPMztLP3zEqkwp+Fst6u7c5zgeGY5LK0WEQz9NOg1+No6350oZGHPjKcQEt3olnYTqPGxJk3ASkW7tn2bhyUB/JEkxJ+9cpwYaou87qbv/mNg/ZxW7Sr1GyU4wxIwGLv6lLNhAj5rolRWHoxHvbYzt8Qjzk9PIHVmuWiUsbyUV3cBXiQiW0w6vaAx9kELe72ufIf1omT1D47sXtkhaQXwSqdMU3kzZnsgBmjIvMBNyed4Kvjgc7F7RrUCGnlfBit7ys0XHplvSy7s95/Dy6q1uSq3sG8YiHM1dmjBTGoQCdBBr8jV8XCmy77GMl3PSR2MoYTuA9If53cV+DdgGdaAQO3ML7C9pkPgDPvyWe+dTR9VUNJMkcfICvRHgBObjhI20bUfBmJTHxS1gB3iXvu7aeAr/TsvGqy9rO5T5ktqdod/dS29fxdX8xZzQVC8A3u1fmAOeI8EWYJmfcMWTRR4u1khPAZacnoLsJfzrAJQoR4lBzh2kUv3vOHIGzx6lovlMP/KkjXtqtA1jnRuX0kIpkBbHmREDzyHBkZR5EqUMAr+zZqrPK5J+X5dQJV4+yN3PW1asSCcFNN7NIANbbOyzy3q9XYc93AT/rbmTUI3cCHOHohU6NwRwG4GPAl5LNmsGXoAJvsoh29a7pVWsgznzNWvrlYQkwzwXh4FckJDSLjL2X/hS25xDav/0rZ+600e7aUBT7TIBi6fTjHHHAVbKR5jqDjXxrL2YnUbtlBMwWx03B46cOBctceii90E1BKyToz4puzSaJVg/aNd+ZO/ZAD5gAjvfOq6QebrO2myvQ2ErGtq7NzbbxBLxalqxe9PLlyK2K6yGAvwVoB7FfwOfhPQbNib3SoXGd628VqQd34ku1xFkW6Qn28CC66SnspKP3GWz0dMCfXIivCHhmJ4XappI6SR+3PDR+Kq8u6JIWfPNR5M1ceRwxUfvnCH8QxJcsnLBAs5uaMUxC2yGseNFtfNWeyWoeevCcv/2jSunfUkbzaisywMU546MjetIoRq4pivMCNQtBEO0E6CTOV+C7KWiV1Sm0syXi+Qj7ARix17C+vLd56/63zMfrmYmg5HaWhHhrWNfO1qm82CRLN58Y/dE9STVwoITD3jEdkNeUlzIFjSCconfcygDX2Nkex2NWL/Dayx+IB8WNYe6qcK2A149pTm0Nw0qZ+JFE6h2jbgytU7I13+cwvaW903OpnLrD27rzC8CUHxJ+gT3beSGwp+4flEpy5LiZaO/PGWp+FJqHxMRzydRQg7IlwJ/t7FCW44jw2Ct68s7fcLNufpwHekvs+YwhONlqW4vTCDfOT7lKjt7eO0C8PeEG/TsH4aCd3YmVKC55GxxOeQA8kSYidKZK6EQKceGAxskQbDOwM9iLt3bwlQToRQaVSB1T8PkK+AHvEBLh9MmF2FZI4SQC/u02cZHrznY30x4pgXfuKPeRHALgWfFeOOGKD80267Xi7jzQXH3rXCegId81+6Cp7wuJzEI883Nwrw/Yb3SWZpe4gAGCP1geFLpfJyya/RN8LupgfN6m8Als79A/D2LG43HRCuLASXN/xVrbaznoiK1dcfeOWOJ334OV+lcL//ROTOdHd3xK2xPTS92T5A/QAe4ReKkCk8pgj+vLnxUwPJeDpgW1k5RbvQVuVNC+8IhXWMwqjq8/Dmj45myuq6NrII69+4rcb1QWEGtHc47iTkX8kQGO2HP3YiCq5A7wLN/lLjUcYVlGMa6i5kAv65Av+AExVhbuOgLsPxy8xq/cFMl+javQrM7h9XZ0qJ1v//YvZWt1CXf6rDf71FFbnuMf0gYf0oxbPohdLZut2v19VXxUqRt/F3ZGvSsy4BG25upQbcleydWjZnqot01Zu3gr2+BSifGlWO1J+Z5TPE3nLd4Dz53qyJkPXnCTufFA/x7rLXaqpfY4t/3dSQkc8sadsWWvP7Psdaw7vGRGvfRWkyK3+aor54A6r/REwzpfHhz9Uwh+O7Hgf3OXIhs7AbuRolpQmW0DWrnzD9tpJrfmxbfhC3j+N8nVKx2CANbrQ4XPuX5NLcQQWfdNrIdmBXzaOTEzAbZkWV8vWWvzJR1ehut3DfiFh2iuQ+cu2vhV7tI5ie5z6cWZMCmsPhbwPJJFHQJbB+5sfL4jeWqKFejhoDD1Qtv4WQH/AH8oQLudSB7nzNvfEqZudNFMueJ9fngsRfIsGF+4dB5nBkw6F3nRNQ74zpFK/RL5SJlr+/mOacqaEHzeKfn9Bf8/1Ln4qIE7ylzbOt9P0AZ77Zqr5CZPHeA4Ltlmrv/uE3gEfeELr57tfO0SB57IgF+wYIAYfy+d4JnxKSoY8Hq3oaAXMO+dg0D+Aty6E9J8p3kzkm3qSNPdEkN4YeJP4ZlQ5rStwokpo99zHn3AakJzwGGpRb2kCLjJd5aD1sBxqXvHy2yuEBZbLsYt4IiTCrrTTu0Ch1KM1y/tBfcqVK2dP5zm9XKG9ZadWdVYnc4dxIY2eOsvwSID66Aw6EXFnSaz+fR0GzxOIpDpIvYax4hGwJ+xOZYufoDmnW3/FyFVUgizAa3ggy6az/nXQ4TKpZ5u0+yOwD8R4PjERPPO+3ITSVcnKZ5iGMm5cxRdhAM87vM8JE4p4ykJ13chJ8x5fCohsvGheBHkTzQCTbsltJTPOYV9KXrcaI4L21uhciDmv9bgP+IOuuKdD/ACfO+AJkNcriEuaXsv6THwk6NX3MRgQC0J2+O414uada563ceiFiq1/ntcxE/S+VcpcGT7eybb/2Zo9KslMTo7b/64FfrzjocO7eg2WwzJPODPwL9JhDegCwAaQqTz4AB7zIQUO9kD92N7v8qxyLxRUkko8E2nctcHKsfI5sALhnOFpjHrCUtE3Jxz8aq5ecf5FembQyn08RyZ1M4u1SZdTkx96l6t0ssEHCaZaTdvgLuXZbR/Fn0Da6fHc0h+1ILHAhF7780BQ78F0id7V5p1zqi7OAIrCmAlfs8ciAO6xts7KYLYjEUiegwavFiyyL9REXwe3X8zqx+1q47AsVYibMYMAaFFZqoRPmnp3LM2XOB9F257/Ds0U5EYbe/UEuzZztH9PXPg3SLy1Gc23yhsbMsrVbCGpnwaILbeiAh2XMTbelG2tt6F7zfK9v/6/14gQ5prqhf6SdGfJRUBAtKLCne6s8V0qZ1x3qO3hg2PThNncv1SkdVDqiFI/YA2+GGg5e2ZT4axkJv1d4qKhe6SFwX/gH0dte33v5hIga6zc+PSHiPlkhSwceEL3YBgdM89PmW/90TTqfYwPe9GJU3AgNM9Cy/oMgdwJCQ56HLOcWxnAGUiFxuBVk7R+Rt7zsc261Mp6KedQQj6B5WhPmZGHDWvHcK4R+2MTecvOji/9bAb6wukpcnRnWghRaoEYJSn4mQwjsiNqWzHLdBmnJtebIMQcAP8Ii7JlhYZch72GUBLAn8OBvAHO28FgRa6Mtw9uY37/8sHyE+bCbBJoMSoj5P8esrIwedotnd8wBdFTj1KeUg/M8/mflzB7+gsXmuil8QHnMq0FIeS+xA3Q3v3e7M1LhC/MJPoJRhxWPvbH+AC67tVHm1SHl/Tfr6XXfKqpNiU7v0GcfoEGGpUiDPAvZcAzZSx4FED7qZC3EAPoYNne2rOt6Qjn6CrTxy0oO1nqbFKtaeBPOH/9TIdNBKdk9ABH+QOYotLn6BtpqqH9ee4Z46eDgt3U7lCoI8+jq5ve4C4zE1WKsKijNbAt/Q2iZpRRZ3LoqYsHBKwvLZ9L3DlxO/e6Q5zrjc20AliXF+BCpThvFG5OoHW/2Cw/ue8mwHx2NFL59r29RX4BdybEdeXyWUqJLY9NeoHYCKlDrd9aloZWvxqDoBBKu1/9ys5CzxknR/DGuBsSW9nfofX4xdY01a58+3oKUdH06vgXzb/E/ZlnAs+RwW3vTFiD3hdJLm+SGPrPxXggK2HIRRirFOgq5Ptvt7nbHsZaadEzvHoadtPpEsgJGQIl3XneBSeRUpNbI8qzac76NGDAj5FIr/RdjZ0OMUyx/vKaR42t1XK+60eiAS98hBouhNUrzTv3trB0YAbjFNie7rJaC7BU1/gL1na611mmijZhY7cBawUgcMRKUq3e5R8jIDXL7QbQeiaSIZxmOZmA7E2gX1r9QA20o/euVUjrPXvnBECHCWFB04FEbyLgfXjqwKfOElQlpGYAPuvUsLP0brgprC5+1spQRe6+lj3a6p6dc0G0HmdOlHb97O7zsCV/9WQ1/BMqntroolThk/gz8AH6Yl7gUjcq+3Tb8poDqsl+KTRFyq4fsIe/FjVyLg2oIkcnnc3gda9Zp2XvNZOFQGn5/B8zM55nCno2p4ttt783Y/o/qg8ejm6dM56vKu9JpCcPrIIr4QXLkmO26ob/cT7ehwWmgE//wS94NDo34zCa9opsMIa7AjWFWzguDQrgho3sT1odlolEXGrznnf623OQtxr0GXUGye+0yngykXySVbC9memu9LWOuxARzmA0RgPoK370xZv7Vi/cjB77o1Gd92r6FavkzTw2QyD33GAx3wyYe/Rf+cUP1Sb+NTOgMz1UnZmmzHac+BgqQs8JHLu4BOTBJ7G+DxVofMCW4hrd92nXhzbWu4KAQJ2uAVfKip3wgVE0dqhJcShfdlN9+J/Z8uARSRMke2d06zkIGwexF2H00g5eKdcJ8XSvEhIpsyYO2A4sn2y67bpIY6XSXh/Je76BvwGqV3wIhBDWYTJwRNxycRdCb0wnLz5xgicKoJ1a8Bni5qZnxrTiZrOzh5c7F2faHEnsbZTy0Gn0SPgVJKhuGHhtOFoAluZ90UXT1I0igxNQbF4JMATM+QrhpSfiuZ9zvYATuxVjgkqT6yYl3i1SGyeD8QT0BC9kkdE7klLLhUmUnlxYfMvZN6gk1yfmNchKkZFES6YUCoFvpa4YhScXJXtARyJz8SN32tIaT+2ZX618wYywOSAhZiWhiag60GZ2JpC8ck84tsYrBdC9W4MNGgLiP950onJ5q8RObvc2NqRcVcxkxfefuYyvSXCFFXvv3NuIzEArob4Zut+zp3tNzvez218oqhZREha5aQP3evE9viShqwgRgVy10x25iNos3sd4bxG9QJ4/X2+3G9pZ5tHkxCed1Ox+lahdz3RVLAdHUpHj4SPYya7VzUEvoiAM7S0ryW+ABe5ZKZw4G8q0AayDNUj65smy4Nt2u1Xh8X0lWwY8MjnCWPAbOQlBj+oI3DWYZ9i+lvvAPvZSA77w8mu6oDlIr9LojVOuLJ9O+2srY3llRz4bWq5u9R5MewBy+JFoNj2E4lt/RLZ4cHWKdSRvy8Xo+gQIjHENoa++x5ci2zdqkEdhUkenK/vVDSf8Ddt7dkJ2KuvkX+v0NrWAduZTUW5NDPnGt7xr5v0e9Cw2EnyUZUhxRzsuQZWTuVEkt7eG2mXOL93AV4lzIvxZlIsfCrP2KtCKpbiIXDiFq7Nx9m7gDluau+boj++3F2ftCXw3gGvQrypgaOXEEWoIZ+io5R0qgVd9Uyk/khZvM269bv/xoYAP9SYjpXbDAW8X4rsHBNbL4GpQOTJ2jhRrLvxnCYVwk87y0JsNcQP/jyF8Y9C+1WyJLPKYN2z9Xfl2h4O4wR8/5hwOti+uO+zytKpbb8ii7NIO2ATIRnqUGzA5vwz8M7axqUe+FsnntLolvSjLHd6Cz+/8O6JNPCdczjudYifEqvS5kmcO70BHxoq+J70v73T0/NlSiGmP4HfZbxVJvHIirnjnLkx16FuhWvnuH3ZGlB17udjBhytEBBre+JTRx8TUJQAUygD76kRMaI1Sw1rINu9T7vpo0DvfnoTrN9oz60XyhuUGlu1NJa810Oyja9ZWL8qvn9RQ0NhcxD4fQY9FAg8uqBBfjLRyHpIF5lN33V0vWV4xGD7qMT0qG3NGGpm0a3f+Wwtc2NCndEjgMNFDv4ZmmPhxTfgXbMQ/3/XWfXjlWzBPkUKuPjncXit93Y+zikqbkdXvfubJyqKXfGa4oKvbZKZd5J4VNv33PY7KvvrTWM9J1I4oMAdkq33EPvQv9mQNv+pX62ypbidQgy8BPk6W/el1Zu92mSyuEE8eVS2Vt8dX6CRHc2+PA3c8bA0Rra6OAEbe8cNLXRg6zq4nb3O8RY4mfX3gbuzneGTFt14ZxG9w+s6sElDPIh5gFikxc96ELamsCv6zsbc77OhrvA64MGjrbEHv59HhebfHiZpFzpg37eST7MSX6vTllwJT4Gf+HuIeQ6sl6xZEJcRxM5O/YCuaoAHz+fWPKpBPbNd8Tq6q/m4JLeTpCNwTF931OhQDDybOGDUbz7AYcFHFnJfLWpbM/GkjD/EDre6my1/ToCXM+VSeYr8KbPnKY5qbYv0KuSIOaYV4DN8oCTBpIHY48AzdaBRbd61EcI8z5F6533JZAjsbPhFds32FJqeW/3eY094wAWRFpnAMZUhAr2FU0OWU7iGmD7hagHu9W9WYXyoOPBk0Dfws6SCfQNdYXvdXcotLjKPvn35KQZ8hy8XnuWkgEmlwvgF8kFMmk2Npln2Zlu54ZwNamC7+EARjUrQBzoKZ7KLh3PbmLLVhu2CpxbikokAfJ2UoNkzmcdDHf32+6LaI2BPoE5z8klzMZ235CF3NGS5eDKX2v5ofobNxvbUAxNmcqtOp50ImM1bhHUEu1+dwuQBdnhg0udHdPfsnDGyiKToxeq8ub/1smP7WRV5+OJD/OLWfnNgKKB4ExH4tUfuqSNSssSDdoXRqHhoU9scvjYDEly2zcjdAtGlBv4IHFGOEOf2Pmjgu8J/FyKauUJj/76TYjjA2WbtZ/D5INq5x6Wz/Tg+tIN74n49jkvQnzZ3jyNManf+PHiBV/ZNUAIugq7FcquPJdo/E+DnWTcFpbP3dOd/ahFzaVRXonn89WXHbLXrA5eMG+H9dYFvlJkjILppJ+kaW6M/McN9EZqWOs0L9vVA+XgUfMqATx45JreMx5//+lzmALut4ScBbIp/ufyynuQQv89SZuHpz3rAZSpJAnsxn+XUAj/0ROi/mBO6dW7PcIkUUiQQWSG+rE3dxa6MaMY7deAoeWYt3ghOGzvXJJV/nuCHMtvhHV3MDNryvV9T5eKp7sMXfC31brR3JE/qTmXRNoKGze2AipsMp6kEflq54lEs/2oceoJSBzhxS1HiCdwc7eyhf3VBW47+nbfkxpdd/GTd+n2+wegSMMBYBvz9lkV3lPbkyuWagYaVGdI9dwQ649ShncjKHA8Qq6Iz2BvE1bYaRFrvgLN6OCpA26W5AH0HqM7sjD3HTx2c00W864kczhVjoB+qiPzwFmxQBJ8qMmnCwce6uSx6fxFM2d4mO+CCWyZHfA7DWXdfr7TVN832Po8mO3s9TraFK3KzE93UgL1f0x70J1ZvnQIktqGFaa6VZ2esAn/sqIQ1/CG4MWkLTD/yC5vbr7rpKpzUYx5elaKZ2G4kCVrbme2edgLbZwOwct6edrY/bHxMdjSGNbnZ3o2/dVKuraVoBtDXJG3DxXI2iYtnfbk/ioGq02YCbac/4PtHAvwI+MSYoedKy+ZQsi/g+cSBNacQL1a6T1D2WmfAWXCZ003Khada83uWYvsjnnJ8yiLg2dv4JLCWwK5/qmj+qLZ7L+1t39r1XjFyJ/9qPcYA8LFXXTonTBs7M6ICDQG6PddOI7THvQwY/FmYUvbPV+WQ93OtGOse6aK5FuQA8SsoOPFka77VoiebayCGQJUGz5r9tfX6B+HFh/OudgpPYcl9JFq9gdhn+5Nu6py7wBMg/kwXsTWp2P59MvNb/0UTl6ZsGz9qZ78qvWZKX3/An8dS7cYnRJ+h7sxQ93oB/eZn/TRkaIwpcPYaYdszGOxi5fBtt+KdQeeuW6V8PNQOUfUW8HenkGrVW6esKjvrOkpnYC+RisgOePsJdMQVYvjDYiVw6lst9VzzaUXRGvDuy86EegB2gN85SwG6AWJIDuwfgZaDh4mNApvJPPOU3WTzv992eLc5t8LWeQ+BZOG//roCdOzdZoDzAe9TV9FaUNu3hQoskvSyTlI3DkAby4MT+6AhHrJfD1lLb4UxHotCX9geEZL4wsW31P2dh7iD9zrCmgw2O6U0eiqjmVR2ptZQLPUSBGKXLgQilq3rSlrLEcDu/035IvskV3sVieIc3p2qm9wkchoaGZa2tu6nAR75dyUZftthn3Gf1ZLwygRusYg9aDNAFA0KM3RY/rWoHLjSYHsU0LjuVFxKmlYDUKEenyj+mk+RAt+ml8NrisDWHyq/zjwCrdGZG0fdiqHmXScl6lBvGNhTIdSl3AULccmouuYF/B0B1i5pT+fzoCYu6gfweUYwPLtcY7mLt6Ubx6Dh4QtZO0lEK1KaY17x9Q9x9Y9eQIe5f/7X9yCnQoENZrnCNCz8M+YruW06DTZXINMB7wpSF3yVdX4iCKXuWGYSf5/xeCuYPgCPFxzpsdwSkXVOdHABH3mzAy5yPYVqf+b8faYX0V2DSWiiJDRFKnXLQ+1UaO9qRxQy0o02uquxECXwxwzhOJXNg3XxS0eEle5s6wFduuxXtJ8eXGDg4KF7HoDb2J7Z/eohRPfOc7hmfQxxAfRaOCcZ+wv2C/EwxB8Kw360wYkyvM8QmWshsEK2ziqmlBs7B3EjEGAMx4/MneKs/3rWu3jOZBye8j3omljA3wS99HsPK7LQwSW29wrzkAkNOlKAVtg/itZkFPQWcCj4t7monHwrB8uja5xy+I8DuCoBlcfVQKRyKKcdZuVmkjXqbtUWRykD1ezQ4X2/nEDsSVDs11wceW62dRs8S5uXEo0reGWbuetX3d1dDXEXuHAjMG5gPcOU+8E5gs+A/syw1jk38UfhJH4qTQfY59u5UbJvVhXYyH/PhStb97yoVESTze0Pgc+NpE9WwH/iJNq7SU65yAEZ+POpXAzMuXmVQ1AAJ7V59gNvRVIuWDAp7oxfkW7x4f91TmJv0tCZ/c4m4Nmyd2W3Trn0PdAo15MUHfjZ68T/PJM+3tg8fYjguZD4h4b3mXDlV1w8gGfttMO9um1eGU9eMlwXR9sL31Vp1TtSy/hBBJkLiKPvu5uymwoWPcFqOsCn/fPg2rlK9syKYtsTJzGgnYfYzoFCgG8PtVP7sv+CdaUeYMwN1uSHCb6cDXAcZHxtIL6CbZfAO+H54xSZNwfIMtl4oP+BENtz/eaiBvpxxvpw3na+7b1uexXzzZ8V4O3H8bVOM0+86mxt6/OKbJssMlIfCVcnDm4GPAoULWwnIy1wiG3S296S+l1D1xWuk/NdANzW2N7H6twqyd11nqE4h/UUpbki4AZL4ZEIMGPWwPFZ74y1wLcTn9QpF8G5n1LABp65TpZ0pKhFXFTSKe1sFImv77ube90jhznkg2GMGNikrfdS9j4rpEES+vZzAxfUiqL4Xu5SNx1Mr3bBvbAxNIoj0Cl5ydGtcsZNZnuM4SA6iX95oI+0/XrKPnz7F/gFvglsxhR4ApXdg3k642j6LiAOVO48Ay5f2RDkNSefwOEoxGAmmdqAdugUN6xqza7GZEkHOyOjaSQoz8wDW3KBh/b31dF9vp9rFoDvDHWgdJoDGcKVjEwrQ6vZ/Cf493TaxuycTXaWepZE9t/BqDFh525UchdIeZnupTuZeqvvbCEHW9vKO7qHNeGihefvzfs+BZc9ESLEpzIXA8SGUnLAZ4dsba/FpBX7s8GgI2Lv6M6HkhfP1N0jJeeJMtCh3OHJ0HyTVpfazhBxAsdqei2CIhUBJgY7avtb79DzNr5VYZzpaGwSMxK97R4nHI9ZSK+JNA21c/PaPSKe+Sz5+jNxxxXE+4PaNv/H1Nl2Kaorf/sr8SC9xpeDEBAlNiEPkHdAXI0QkFZakU9/V2Yf+3+fs/baM3t1KySVquuXVKq0CvQd5rUrtUwpKu1K4B/QWEdmkyPE6msesk3Otm/t4LAIfxu+A4Zxqx78QpRkwAP8THUI+r8Hdgr+3ZXRck7F88WiaXdwTH4m7oGLgYtaIfrFOiH/bnrW1iNzcYxfQvugMScEH/NmG8oEsY42krWztes4cUpmYj8vQMvA94JtxKBRTB+1cQpS0xNXaIg56Bt43MZMbbJiykVY3pq1fHJbYjVqeKYEOLF5NQ7Jc2d6xy/QgvoKOualGGZCWLe8QPPZ5NnqZqPiduD2VIKGTTMxAZdtk3rUC0TXB3OTo6LcA/10rcLnCroXSZqZXj3X0m2dpkt8iBlBzn9rYsQmD7tic9Ag+Zm5xGi46BzrY6mTJEcISEOfBJvDKtw7RCwjxAxUR15RIV8w0xdD3FfTF/MsUJYKiSqND2WBPDYo+C7vVkXb953HubImXAWENKGdMjtc8zEBNp9MDROU9lNAgGH/5cJ1e+CUjYX/9c5NWtr5sVz9UxPgMhca1sM8VlHopgLdDzZJgb6zyspeDcfvuj2mBt8O1obIxr82xLGqQdrkrk2nWIpzkcTE1p1yJ1/03pybGpSDnXCenEhvLdmKPvMRLTgC7TU2ttD8JZg5e0j2pQMcCopQBO/687M4WFdLMHKHcQ6I2B4EJSwdPKOzK4UmW7JmYX17KZmyMq0SgtJnafvTWZsqAjPKrDY4j1oThiLK2tsRvAKnasiGPdiTvwNt/Wa2FXjkxMfpmLJ5MvUgMU9eMI4S2wjDvH7nRfvE1n5z7hVq9BSBei1rfr3JjoF9+LdzoRwaIKzEsoF1cKNiuYHvdEt72rPO/2aBfPsNzrp/Z2KGb19c61dj4TvRvQcydINXPoEuH3M9zaLwwwZ8m9rdN2kBep6hVQ72Luv/rCT247S/P84d2ZxB+x9sfw/PHdS2vDXOfHvvORxMLXHL87C4P9K18c69Bb7+zyJ7c97vt0ogCYoN4ZjdpDuVRwsDs7UuZ+gnh/HhA4H4mAjgdk9aSpZsuuQM5NIKfgr0lezle09vlMz+xLGG2G/vFdCn6Eo3o6qqHGQxrZ7nofUwQ1fTmxw7z8e/eyU9MbW6r8fXHxgzLM1+H2irD0lVf3jdb0eHgw3Bc5u9T/qbt/yNdzM7c5XLApk6K0MTWlY+ToKO7KFoudYc5SavDyNgj0778AwJ8DDEd/XgbAHV+vUv1wf0k+nbEfynAxFRQbky5GdyIG8W/Th3piZXOyhtcqrQtR6ua+XcN7iXTjPoXQkB6VT48MbqCKwA2hWIEPRKaV9XbPo6rJgRa7Oco/kAegwYe/k8iz/e0cHhSUyUsuTto0C3NM45ND0Q+TexvAdbJfjc/bMsJKns1sKU/4C7n/MOcEUsreJsI225stB6kA4Nots/ZTSB/0g+gEmBGyxH2tOlovxIwZoYV+88vUU67ZQN05U66iQ7/woMHNSOBi3iVSlKEvBZqB6/nhXoh3PkbViRDKAdj9mwbSFGynPs9yXvTQ0zBL6dV2FSlroNc2cxe2UU2PydR3QXIbxbkUDsw610NLAs6WuUXEvwgXVhdACaS2CU86CATaa5EaZHh8rLroUYAJp1nFjVJwjYdVIB+hGDHQi2PDIGXsCyxyb6re0c53Yy4FHvVEQ63CUDEUlUC8WONhkE265snA7wHH06YF073ofpd3qwTC+/eTD1lYHtHkcnfIC/IDjgP2Bnd+7Ail/bU70SC3jgbRtH9dreqP13LYXpkZsMR/gMarestnh6XPmMX9sD75gL2rjEAcR4DqvdJS6jCbBducpIpie23auudeRlXk75fGsCqYEdHxVVziny3vsb6dEFnRh83VTIT8C0z2qU31hsOTBpzAqc4ssf8A+kyi8zzofQUyJ0wL/kmdhWsMzt0rFedMRXMpJNRn0KY9HmJsc06M29SeCmze/5ct19GcbXwAFBE872OfQeOMBR5vJPrEs35xr4VaYiljhf9QHWBzmH86Uc/77qUT444uaEZ1Wm5olQ30AGKR2UnfXpJu/wE/TPb48MZesJxvQEMbQ4ge4ArYYa7gekV9/MWWzRKw/r6Uf0mqbhzNiqnYrzncm/zrXsidCfEHvKpp8OGTf19UmihHdTke5pkOy44711Cj9r/ZNSdRFITTza3oipl6jhHxvfYBzs1J3a4/rXw6DfUue5HOzJyYDN1GC5J5qkVW5qOU6ggDDNC9+MZ1/mf1yBgCVMDtT/1dI50DHdcGvJa/rl5AOu6oJ/yEhv8pVtGja7YlgCU6flFKljHs7ziZLPM8WoDj1aWrYF6x60S3sjdgPKEotyeIJ+lk7KWwn08cjG8D2GuLHRFVtyZ3LV6jUpmlXv2OvPkkfAHBTbrJ/miuKhpM2t4nu7HjQqaUtL1nY0QpmMuC3yOVMd/iy178B8vMoBgW9b7tQlF1PD+H02ylDrE8QPZ7Fo2k970GEbEeCuDuUlH1uaD/O1tjMbmD0CHXLILb4noMkzZr+YwC3o/16E6o5jcqlthUor2dT9bHTywiEWVoX/5g0KjDeWq3ryDn1UDoeY/WVh8C1cEF1b5Ifb6puKbVSFKgZ7+G7A1ksml9oGP8WnXTP6wIst54UUKfV7CmydhuGahmTiFumI075zbmNYJG058qAKe4tb6juNkpAg8KEQE0SPnpLyb2UKjPeTdy74IQ03blaA3qFfTxqBDb+A52z/g7skzDWfaxsFYBcnHoZPYGUMWuvy6zcsa/23h8q8DQ5xXHbKkTq5NRT0fozoweKEhKhMe7Ka/B7pyI64RDRM9oruX9jWHyqywDfuPdBlp2z48yTOn1U5njwzw7q/tYKr1JUP0MKzqWl/cGSfr7I8o+lFXBgXqwUfPIXgx1LGgDMd+6N5zZyYM11n/jlHmVUWeJ8zPMmA3dIOD401vZquWYkzU2CFG+nnt5//4E7yxA571tFzo3jicTtJmhj41LK8FHRV7WBJnC+7GvieWdZDdWR3YnIiLhLchvgap69zoXkeXx/UuoIdLt8Z+C1gUQe0OspY/z53GIHfQlGgp3rd7SpSGemSmfPSrgUpQQs8S87v+WBydv7tKWRm/zYN9JQCESqHP/FldqqudyX/txe+g88Y8iAZgEu+UzddaWS/93v/1Q9VMbxzpJG0EGLWE2wWm36m/927BV2jwC8enc3D9GjOXqBLX39c0HUZC22MtW/2INaqUxc5yEMToM90t01BxQ5H4BzM2nefYleOE+iu/lbl84nHBPzhBliS3ShXtzPywSaAO6PtS0TTCtxi+nU9efzXOsV6OHdtRp3nsy5SD8Oap2BVWEynU0AixZZUmtqSo3zfvX00QQlcNoMnbX8IMucUQC9uuOSwXspeQizEqBJ30ENfm8MabtiapMC1l8xZ9lURglYD3/yaf5po2x5cGZ55W5y1WoXxYYM3MKbf+wCYo+RAXdQyoYmKcaoc/QFsHcohfEIctqoRP2u3rZQwfTC2F8FJRaM2BX36Ms2dqxHZFJiY96qrTE0DrnMgjM0pBv+qFfio5O17Q2D5fTa0szT1GUYew9+fRMir6acF2uszs+G9ivaSOphxy0uA2YnZjwa/7IBX+CEaLRDxFxlOjAakqMxdo35pqZhLaWpyrO+ztrltrO0PRijH8WSuSv6rZQA2ZOrChqU1JVzMldGs4O9hQqXgaLpBrHVPgQKtRcbU9tPKsu9pb7OsUC61yS3vvQxi6IfJ9QG+eOcfPlmRmT6sQu7+PKtwu7C1AV3HPBbqorZbDT+7pJRPpePF/F9vv7+bg7UNa80vLEpWo/lKIU+4bz1OfZM/VTQdPlWglWvd9myY32MYl6xZmy7zSFi+6tfWkmz/qJmNcsQfJp+Qi+eiiquTxtiFdb+Xo6ky5BU1A8bmoNytOVWrOWsgeWWpG7bVJw0VAy2PQK9FZV++7zwW3NTu7XUnQ7tQ49QTChy7orwKfEQcU9dfEcW2BbaWI+/50eQmUJp8YiblGQYK5s3csxhIoHtBTb3W9oNaGJhkIWcO88GWN/deRKB/clvCympPJCQfioavnJEraNEP6SRzBazGnRnsmwB3yvYc4zHt/H09QBSGzwXNn6Q6meWK7yaX5yy0A+P8yHd/Vphb8I+bN89fsOvb5Wv7k3KkWRA6OE4+GQM/3jGHUpTyWB+wqcVGU7cSMmp6eYB10wKPtWrcP1XPHmWPpoZtlqZvCXXSV0pJKt2kYFHq0rF/1wdwKkSKZlhOeE1OmLdHHO5v8O9P7OBBjcl3qv0PiciFA9GY2oi42z/SWH7Qob0q/nXDFvmA389TlwzAX35q8YrYPEijL6+O8b3+5cP7CvF3KRm2eRxawHfAUcTC4fxds3l/jtoWc/nNut7UKNnVlqmxiRARd6vp5xj0WJsWfl6b+GclLfi258FqPWA9DHr1BBr7xP6vbwUHTlnOukXA7XeGIA7Gps6M5SiXLNiZjtgxNWUmP3fJtXzNoF352LDF1Dhxpd0G2aicvE80rM/W1AVQFrkQND1IgdJsMH0Nvfd9ogD8Y5uKf/2a98r2+yacBu76P3VM9qkNsZzLydSOAp5h9dBuKrBx0gPvx1dPjInDO/UC1pVVbHoxyhuslwTsGSIOOZijijravuOXPuczOoctqiOeH6y7x/skghgcZbZe0kjCc7cZUEFMR3JvwuWQRktG+z9PaqsJbKgETQ1xXn2r3v5Io9nJBsthYnHBBkMGMVra+Pe7MjGBj9XrYfV/gDNy7lwfQqNRBOGSAhOBjqWN5qge7IJE10dO/RtwEKypBKuiX5qQx9LaVsAdx9T0oR3RLo37FdZeIM29UHi591rOLDurwhbivDa1pAzPHGsXgXabpxrJBPdb4DMlMk0MS/UqUs+SJUtDkykv8CuD8YOVZnqrz9jcQYyl6ZNTnZmMjS0RV/3mb2DmyWqwPWbhERg7g+fJJftyWb5dcdgvAvFbEymYd98SodHE/oWYupNO64PmezaAFLXl4QPE8brwr0Qr1lByoDH6txZqJ3yfIf6Avi8rc9dkkDH4gY0CP15peaiiVv/LBe+fNkO+wINHgVOewHs+o+iirHkE3d6b3BPmqI0c0agsNTagkJhNEtFph3DmZjZ5n93cwYfaxFKh6NtvIqYk6/+4maN+sO43FPEd7dDmzEOIDbBKkd7UETa9WE444odK758QIz/zkPxk/9U7tIEVzD3HJGf8UVncnGe/fdQT/O7zv77C1gtY+XG0zZ0sHjadvIkCuAZ0Zxpzt3T1k4ZLz60txDoylSs55TYeD25pNNqRmbyIYb+Ab8jVij+bHttVOF1pp9/nX88UKSlCtoKWB58n+XnEFYvbSa29K7i8m9yC0vb3mcNzwVXUONPPKZAePN8P8NhHNnhaXv54J2Y/IWb+q6MvBtBEHcQH2w9P+fts9O6V1Oh4DvHY32XDJCG+YmBqj3ESiEIuTbF3MPeLg5t4ec8nFpKr6UmaMX1jKxklAzoAnhORqQdwt01eBcTfB14b4OjyoYbffWznFCRXRkkPtrRrhrmrBsucyXDQ9V1mkfJgk6jh8HurSs4hHk5o+i6dSch175Bwvx7XclMJa8OBVethLnkHFo1QaeoNlg4xuarvHBiYce/IObAGU8uJJ0/QnXcuks9yLR/A+mVt61Faravi6VjbVxdm0iopd6idHA4QE4FFRlPzs6E8Ku224KPuRLe302F5cNCQpZu8876A2zlRoSoqntxE37yAbT26+i0eNgu1lrgWuGRhagvu/8CEfYBvMjxRZcwbyZi9OMejGLZamj6otG0BfhKIg8CXEDN227ay5Vs7LNIhSW2TANZML1cOtub9gA7D0loE+IQjjnEMY+k1dvJI2Xzk+Xzl1hww/vUCfXgCrLRoYO7ZlTceSNPnajX3C+W//A3/lbkkfe8fgg3sxeC5tVg28Fk9rMGYOthXoZeYvVpY5wtoRz8NZQ4a9noKE0dG9kRi/8GsGdZjesudxPSHegHXP8DnA489Xxz9vUlk8ouadw6nfY6zTcnxBw2UBXZqcjN7GfBZDpuXvGwnwoxeno7qMpdMeK/Daz40FsLArAJimy1FdlOWPfPw+gR9djN9bdOQn5oVIrWdPY4WfucSk9SRniz+PkjPMXcQjOHeqjgCHl+WXGyDasxW8BM5aOmEo/bjVADFjMABnSoh9t2zNTngUdsV2FATt/65n0y9adK4JAM/D0y4/OoUcwe7WtsrrOM5jzw7d7yc8HanzF0V1JrqWIECH0idZCfEtqRFdqsjiGMdvFOBg6N1f1FK9k2AP0m0gAZrlqpXcd6TJC+aZ9b91sWiENueDbDdvxqCHYoPLurgrRNp6m5RHlbh3a2jZA9st6Mj/zi8th2wlZ93/NBcth019UQ6/An8Az5Bh7jwbdGxm+r2t5LL63k3v23+0mj/SeLJkcKesSBXPGJLBvDEY+jxy3YmtnKqaGnzABdl/3yAhIH1XwIHl89ToctUlG7dgQ6NpTxY848y9W5C/srR1Der0cT4bfPaPFNOsw38XqVWySB2koaRLjO9hdzp25xHNXG6kR2/m9zE+rIdSIxDovUL9O6Yr+TD1Js6RzJm8V8vc8NHGk3Hsl9KJRZGrfltGx/Y8VqCfMNeV74iqxx1DBzrNcK+lRSDxpUv4vpLzTYWvdwtOaAojclNCLQ2/eKlA/qRHKhCTyhlOKkRHkSAshNXAe3VNQ+377MAn46YHSAy1Q5wVygf5eibXkYoDdug0i3BYvlIO/7JqXSJlp+4T+ZsnK5K2EEe8x1oB0v2sw+xWB9sDeyCjmAPklvE4Y7l0li/a/gHwDq2siHexn5fd77TjL2d2vzGYeUzamqy2rpiM/BDugAjbCoHk0aDlg1nUgftJFH55AN6lVo/QRtSGSY8Y21yCiU7mfzEwH/fKV4wqCpgyY4hU+evfake9EEPa9NNUqxRm7vgM2KVE2tJz6OUoItHWPvfwH8Jt/iRiykCHTkTju4SmZ6ypQfftwet5bJ+fpxAz/zvvU4n6i8UaYgcUy6Y/pG919YiiVXMr6Xem7ojt8a5O2mAwf/vXSb+3GB9bmo0gV/6Y2GhN8AQEP+lyVfcSKYl+PErsUvnHE6pqYf29hvgBzVDiWDCspoYPao1Ad26zcG/zeXF5GJjoopwKZ2nc4Yob8YrE1zAOx9Nf8vUQncVtRZwrCOteQOfRWpNYtDymjp2WlP25qiDGOaEcKCZQB6YO4WnyI5K2jzqaLYyh9kqQCmN/jiNZiswV2dqFYPmKxiV9xz1r0YQVzBvqrQaQaP5qZ5mJraOMHnyoSKmHs577wt05cPUGjF96JtOXVOndbkLeoYtCWj8EPgog++Q54B8nhmGWKCfORBpjfQzA15Ng3YVwJW8aFysiZ9Hky3C6YlX/Y2tJDu601sTPURs+mqlj6y3NqegdfGwsCbWk4j7R5XP3ylwLbemC+ifzNwJxWzLlAZtIaxbKuY7d5vXOd+G4OtPiuJLarjG2bwoz17nYflRjP/2TwFdVbDeO1EqF1grV66ZRR0OPP61ZtbVMfWImtA7phF3a+5v5EDuaYAqCrocYvoPcROfObrMI+xUVriRsdox0EHYneaUmTxx+e6D8CMhPsqgd6sgMT1GTP8/TFkGvm4CopEO42hkw9znQX87D4mFTX8nU4nfstOsM/kX7Ub2Wwf0Uy8hTp+RjA6wioXpP9b/d077Pnc4M2/JI9MrHicsRJYZT+Bwc+f+SdcU/p+ZPcwPiIEPFnP7sLYeBW7OxxYzxsNzZ3qs+wPE2I/DykfWpRvQpXnmNjYwtoP/r0bQkXL9fViTjAovTC1bp5e7dy58U991zYOvB4mvC8TShbJppZ0ZbLynUTKUjoL1q019ua5clcn7cdSAOxUT8I/+U1228Iz4pxz4++zGVqvuzlrHNeIP09+xHshRXOaeAdsz8Nc1n4hgCsbF2Jf8hPVVkBF/17p0yUjiU2i76aBi4EcbF7wzjHnmip7ZAj+RLcC37Hd90eS7WXmam153vTcC3025rcpyWL5N3z9lYgjHhxMCjRHIW762Ucoa0F2mDv7EsYa5KaaQu+iDwZo6se1wAvZSiOOqkLwq0Jt7zZ9tLjQwGV+rwVtMv14BXoHF4E8L8lnHfgU8c08j+84KZPJ+gFu9T5NjBHrrLrWkKiTgWxLaRIYlFaxZNWOLv2Dcr4L/3ic6NLvt5TxsLypoEQv0iQbkcrT4jrnpk3J8z0bu57G+QqyYqmG6MNCpZw4x1G3BxqxX6vICNOU+dcuNyv/cUmD4agQPWTArzf94ef7nrZdxOdg7DHwHbAgqVT95vLcr0yvH9QOYEZoP94cq2pMYCVB0kp9AM2TA36ZG4dFWw2m35SlLCOjBAczycQqtB9iaPoVbKzV1UQLyriNtNEOCu9D0gbBApzqN6w9Hy5tl1342RfI6gs+AOROl9rOyBw5w5kGNehD9Zj2PJBPDc+ErT87AaXj9azeRfQEmi5i1XKkDYvz3LODulLSNZAjaG/iLWPpbxs1GsOfCOrDXYnqwiMygtyinpVcO5DNf9Yep45zBOkq7JOCD/DTc1zjJzMIv78S515g+5/lcqP7qqU6Ov743Zl4VEisfbJwNT8v03mpG8skicxa4vFIO3ETxZx2Yuz3+t3rNsK5JkY7pUptKY+70qQrkqCi90ZXdyp78NKjNsPV1KzuS1eK9DzCLI3APvfxxGJIf4Ct+ZEGAeb/AH3EBHLFS0BoHS114+LWwy9YS0TywYYmlLUs56E0G8U/mpi656VQGfjP/Y2du4sC4g9vYMs793xzOM/jSDDx3bW2e3A032Qjzi8rHASIcRVOaW9vvek1M/vwM+uN2tJJj1s8x7ZoNc80e0dcKbFLxCP+ci6lPg+QH/POerKY31HVD3L/v/N6Us2l3Ltq2ie7LuWheZje/isPFzPUpnHYQqxeFYExXREArAGvoKuc8yrq/C0ES3nNpZTEB4/MFD+0Cz3pLuR9AfH9CDLqf9W+PDJ8Kvq8i8KNWMsHnS4iv9/PAXrW5dzgS0LXAIiEuqSP7yuUpaK8ddtUps7wlRfyQ8eQEfvbJRgSUtgU+TELgx4Ll27hykF+t6H1uPstwOlXhtBLTv8pOkIzlN1nLhTn2ysLtEWLLrXEnkpt83dHkl6PkrHsrj8lVRijGztdNsnBThwTlCEfEJlNuNtgcxGmEzN/fOe23HNYCHxSoQ/WDwWK4rV+pqTFM5fE8JiLT/iPvUdVY066kf51qRCJzlteZJlcVLi0WXiF763HuEPweeVX2VABj5ypsQasr2nD5vjdq7muZnvKuAMaue4KJtb02SMeYede04Mdz3B5TgZhiOGiQIlTzY8Pk7WBL05HUAoY4EnT1StYvPMSgZxGRAofnwbJYvz3y/rcv55zBGmoYezKwUixszDQyd2FI2Zc2rNVTBhAmHX7KbTnXNoY46PXS1UvqTKR2bJPD3IGmgpiTfHCBQvDPUVbI+ymWzzTGUsXpb14l+CEKus3KUeaBBgNdbH//60m4+r2ICD0FPmj/9iPviMNG/APvEbEBj8rm9By1Qz22lJk85q4lHHw1rIEN7hekHFmVAhgiWt48PyunHWuhq3TFJeftz3HFqxinu1qJnwFvYcvrlPBo3uNN6XJM4tRlq4pE0WagB5G5O29iI7PNPdvk1MTkDrE1MDVbU7F/0fD6Xl873HvfhCY52JMNdr4h0XMDv1vB3LdkRHZpZ4u0/zopQlNDkxLmPCOBvkB8vSq7/QGud1O9fzbsjwsauW0Qn0z/Sj7YFdgJa4Kv93x9gL4Kq4BPpbDN3YtXTplHArVLabmUI3dY6H2eCvaQ43XDQ37NuiQ9RyWM4F+XWXqX9eiqnOZFbewToUhtgy32vK26lh/d602OzTt+mVwlwTtk9gDN+Y9zNPs8qw9cDoQdJ5/1+rWBeZzkBTgCuA9+zuXR3eJsv1aX2cDIjYwQKYBoz+CTONgQjb5Wc4Zp+rtVyH/z/B54LKgQcADHE+/2ppNbdA5tQqj5s6xMbtfR1h6Lrgt19wuPvtyT0B/1OD0Na/LA3MudSlPfWcR/bzSf7RNPspzZuBJzkFP0zvviNZdp07UVK/Qt7xA9I9CFmr9Ir1cCuuMkZpEHbVRyFBCwa9Enn03c7jJbH2rHevFRlcA1xzzSK6xFuwrlj9AS2AR8fUeGyiJvbX6lkcpl/NeiGvgv0Mfa9Vezl1npJKnG5onD9sVe84M6CtVr+1Th3KdR+62of616W+c24hXFC2jIhWv8AKazhJjKRph6zX82yv2t62j6ixegXzRw4UduJ0nWqwwYAefh0tXAiSRGJyLSh3TDF+jXG7dDu2ISgf/PeYz8kqu22s0lDpOE9FycefusWX9rRHuvqQb/+bu+kNlP5kECeip9cMfczdEf2Gl90K4L6LmpFs9ng0iOe9urV01LR7c08va8n36ygsT1+tc58XahOnml9t4lLH1ypmTl7m3gRFwN6TumXE2thjzMvIPjnY6ryo6rzvJBt2nnW6Y/4TnYe0dH5qbHLYn/OqBVDszxItCbswzkprQnYND2xZH/kY5+qRy74ytJ8Ou+wW7vqAK/7bCD76C5/lezH5P/8Xo9Zi9sKyJdfFOgv1KuW4hFoD2JLxFqU5c8iJ0c5BoCtS2jyrdHk0ukwuSTAI+wCJgtSr6B327NmL7PsqsK3sPooPPQOGL0L3SwPdCYF+a2ZeayTW41r7xozX2ktoob4OO9C1ovo9bWg3lPa3uq6uLreRL29cSbmxo5Ax32OLoo4w4hzJneHLXWFimyEd4U/X1i9+/KdneI46RVvXxWwCxV36/MnDW5X64Y259y3b/MHY0SvOR5sKli1gNiOT86yErDNhUm5yhQqejaBDgd/OPvOewjB4+swo3LhwXGVnmpqzhwZ9s4VyvtPQRab0cD9aEstErQ1fDPJ33dbzXnuwZWkMn7La1tBfrkCfrl3vRqQ3mSE631ETQfj6/vexymLhOs+e0VGP6Yx6itOfabfDtT+2vTrHIGJn7k2vQnSV65Vt55LD3QUZ45s6Ko5ZWdWpVrzvAW3UShhYGFahc9K9BhhKqEDvP7XA+8DEqbAmyLS5M/vDm6rSzz7Q99AduFrSV5f0vZ1JaFetY2B7bDRzKCxkdgbXZ7rAPFRIwRDeXpHKJAwHOJcAlLcy/Y8igT/P1dMczhUgVYmhpEGPmEgSLOTZ1SnZyYDXFK2Is5H0uHdmpMF4gAnUAfL8AA5cFWbcZb0ItkBn0L62obK2sJMrZ8Ko6ApbcLc8PfmvCVswRVoXDtwCAP+lKuyFY2srJVupRixKL+RsI/mzP6cvhInhXzHjAOfm56uKymb5zNmQDfL1DciD838Fk/pt5jbl0dwtpnDuj+ZgARbR+SzaYWfk6drwViamzqCXBXZRR0+LlQn3RMMKYyAH5M5JpaavjzqPqtz/r9k3Tlw+SWSOp/yJA55y4ZcYdf5aiXTIOuKMhv7yrTdyoPJfxuAj5qgfjLKXO2l1QkOTyTLCFOcQtTmO+HKGBcR6QrYfIz0e7MpF0V/EFtuUstNDdsswG+APvNnLRvXAb/HVvTW1deqkjR0tYkF54nBnypXPxdCX5Tjuen+fZTBH8fONxOlJKUu9PYFKhnTHJeYPCVxNT/h1gULnU/R2BzklimiyeaCZ9EHWfP6v/y592j9dzk2p/ryC5KqngaSkH7Py74XlyzPzbEjx9F1S4XuMSstGG8KaONC9ozaTT6bKzMqiwPnXUiQYvSiiMtL1uf2H4KGscnlz/vPYe2utw9NZhegG0nRAJxX9qmRwvwZocHmaXB16sGpsGrtk2+U9Ml4L9QaXru5OJfjyBtzoJoYTQHRqBN21KovcnfPjjTC1/mt22MgvGdFJ6Fze7EaPbQ7Aq72AEdelIaaLeTP3ngD/DfBdV45sNmyS2PnND0mQGr1w57QGwOGoYYEXN1sK8eie5ew5aD6FQMnFm9c9phjobUsrGKM+/cg/0MUp8L/EEZSRRbpv9y8VUHfHgtXVkqTnDNyScVV+sUTxmJ2/VUSGbyr/jg/dSDN6eoWUGvfZNC48r67fF0k4Niyp3Cw1reVKDDFCkQ9QqB3h9BM1wz0xtQgG+//HkJ8I1sN08w9zdleaAZ5b96QxDTfk7B18Ywmrm1BNoa9HpyqePpoNZ3b4L7JmNJBnN0q+yk4DZ7ALNVuYuLsmgLuuKNGry21pkrmOWeO75pCrY5Me9AY5hL8PkHp3dAP4eM8ey/PGY9gM99mjt12WBib/LOgcGgBT3gJsoGVFZuMvNCzed+ohx0UGVr8Ahtcg5SD8N7sZDcmSYLYR4GHwI+PDS67Yp7/oPN3aX+y0mLRPJh+8k7Dv9T0Rn99uQqydjegE9u+fi1kkKFOf97Ozobm9j7pwS2gtiRMvS1kHiCYcUO2BcVWu1NfWJuoZ4UoFe0PIKOy03N8IpriPrTJ2fLjCl6wji+GWA5x+qq3HQjQVvIQhdNaK9gV0cQHScJPp+FuCo1ASZIwOfpgMR834QtyRkaIT73pWgL0++Ia7QRHfieHpQzw1fGlud/eZbbd15lAiy3h/fPz2w7NB3YhzD1ZFqI1vICWumTuKiAeHVSToKbqAWFl1ARq+V8mXe0A54W9sARAl/TPuiw1cDze9rrHzEk+Mz0U4Gdvpktj2GMHSWYuW3bXzc1kgfF8Z71XiKiNm2CpM+K1tSW2PBA8jPo64PVTlJMm+NqcgixLx0dAr9dG829GvGiKUzvBkQbLWlty/e+qKndeCfi7qSvbVYynFCWmpo8F7AJ4P8NcNf1mUamp3W71u7eA03xpCyzDu5klQUxdw4WsNkBmMMrO+I2qL/hyFs5wqEIE09E3tsfBmeBV9DaBcSW9mx6h/TtQQyZUzreeFwzj6396xTBeLrlprKWFLvax516Uk7AB4YvU0M7HZJT3f8bGwf8Gkvd1lPm7kygc4jtb63HUga601EQ0+XHCdjyFCfHzJURPNsRZjmtVnVi+bYi0Qyxjz0hZpfcMvtQxEope8L7uw0oWtCJH/lqet16Ze62wMITU/2yqdzpfZ7yLWNzp7RcTgHaV6BxYe2e8DA5zQhrbdXfpcueTYB4WsgkG1GOrWQAjWVBTLsSG7irkwNnX/Y5tFzg+xG+IyqHDBgV32iBpAr3bz8fY7v3sCVtGqZeqdueum1lctJkIU0OyjV1FosPJFZF6cEaEvA+aUoTF9a9kwrm1hqFqd16palXsKY3HsohjxbNY3kt4VOAed7cewUbz0joDad4/zgh5mZ9CHM7AafJIg/UT9X93XBTZ3GVp8zUixD4hzqSSbr3wJ+8sMgs2SHEQvuD/bv5Px15QVCl/SoDbYnX3/vm/2oSwjyTNG4DavtZ4yKKgyTENmnN+WrTzxcWkAx8/1MJr0uZTmg0r0dLmjsFQR0ikkEsJujvg4NeziOIRK7EEH93pkdROf72QtpJKmFdkRfoL7fs5AnmbmUu+YT1ROpCCkV7G9bfAP7hwsM/q0RqZWJ5ZWNjpWLBZ6SCapBF2c95SX3gfe03YQN6z05Kdl0bmr3XMs4K3dfs7nBgL7WCdBP81NC/K6ZfC8RXYAL+qF1p8keumZutmD1fB8t7KQ36z0kS5eibdDnPOzlitgGmm4DR+dyEXIKuIxz97ot2FduOpZh/Gg46J5quFWh9GpFjRv0BfPr3wQH/GCG72m35weI/5061TaiPzeCBXU2HPGBPJizP6MvMWkKhcQBa0tTTd1OWXEHj/PaFOcP7SgtUQ5B8NDQ5ppa5u0W6tMBhGpENZpbF4uQqOY6ltVkYVaa2st1A3OSgMVmvjN/ZNMKO0nAOeG9fwQaG2sYw3/6zQu8arfcnZrOuwv6RBsiCsb5kY6vPpsCgk7rA2S2xCGiyPwvQ2bMU1yezYc31swQ+FpUFPlq3mru+bPrlwtn+edYE2FK1Cum2tDHhv3Ud5wNmMlGhOWMwdf7aLOvIj+j4AnMrqmgL83Td0GhbGEarEIrAjwiC/CNwcQ8MCEw5R3WAPyAOuqcQc2lPJ6rRwEZiAd/9/+dfDGJ20FiWWxVfD9DEHHTI09QazgUS1Nm6oMErATG7hNUPujVnQgv4vI+sL8FGpvXcoVIM9v0czboeDa+hH/Azdwl6HWLqYs4g3zYPa9VjEfjLVX9Q0BDE9HeJvzZ5xFwW4RO38dgw/GSOHZ37+Yjdr1ta8CxztjdTN44yuZYM5spautKFv3eEg/+2D64SOUUb3PXve4ib8rIdlaURiSRw2H49WARsCH2aWjOlSPYkWrwqLB9YLOLofJm6Jg6mvCqHZCI2fG7Y9txsro8T2D0HTuOM5/cXxFrTP4yaMXnnzmHnaZ0QPv7rEWFhq6Y+B66Iucbwe8qcXb6wQ0C3k7JZcQF2DhpuLlLnuqbO/mnOzTmTwO5yofHk1cLOOMUYfHIuLbtq/u+e1JzD3JVs6jOOD8CAN5inkVv2WsVtn/b2Jd/Nvtht4efMvj9b665xSx1aUvsr8NYNbLaC5/+ogLcqm+wIkz7vkOnnWKoObLnL3nlEQCWa8XXvYNF2eZi4cne3QGvvM3f/EoWORb8c8l5XsJZNfsyiOpKBfnEOjs5J9PXEgXqUrhaZ04KOCGEM9g8GdsVes5CsDc/wnO99bNO7kAb4pxom9q+ngZs9JWrLc9xSc0eNCYi0/RSCLsjTtd2IULGya+w6aIFDSCAC9ZEi7JEuySkwrrmvwJA520qf53DLFLu+49e+7kJP6vYDF/1ydOxXM0pbwKxwayGgEWfQVwID152YSljfmLu+Mncb9xwofVzbkezM3uvVA/+7B55wzB7T0dXDwW2cxm4s03PuN6bYCWbODL5St3WE/Mo29ynIQ9BsQ4a9uX9wk1q/YM3D2vGeTaRb1duMmvPQgA9Zp7JTQL7zIHtw4OPzkD5UiC610Qc9OVGIq29mM2cxEDtlGuDv8yi7dFUHRlFXuVLXFD1Iry6EJ4//1REJ6rEdeJG0ciWkXn0GOtUGrcnAh3+nhf8DcQmfi9TOhomyHnio+M1nS7O1NWdyBHTYT42USAV50j4xfQIY6b1bGquZFb0jwt6W/dPMpWA6/fd3078XPHJEHXVoejWm3Ad+2DrUej4qy1oosCgb2/f5MuasBeXqb8Rl+8Hy+wNTMshI5cAetypungS+X7HkXkL8qqik1QAMgqbM5PLVrh+anPIMNDRwNtiiKjIX+NtpeRPKG0VKmzH7zU0d0AsjMlKL70ux3UhTcyreL5l9fdZi80y7va24rECHXzPGRe4SAQr0UhccfErr1+K/OiJ44M9GX198mJcaoQWPyZOFT5sN6ve+A7fan/P4FxgIv4Ap96b+EPCHPDiqZ+7kAN8UGPiWI3M3Zj6ZPoaN7UfAJbujS34yiGPY2oPPwEHKMzvf/fGwU96Yvtrgy651jH57mqh/PU34iaDwxQo9yyLzUohBZNA5Fd4xH2Ra9dqjtN2r/I9n+Le02oRz9CEd2VYxe+WXbZg7d4/12wFHmcmOeIk4AVZJN41Wv7WPBE3yyp4QiydUXmZMBo8BA++ykfxgqq5MNEupUalCjWSU7EDX3ZtRR0DhnqTIzTUYBOpBl5Eb2DIRBTBGgMGGylUOm1sT+O99AFtFzYZYpoM9D849SpXpHRmilHV6xweg21WtZyYJjLUkpgbJuH/kbvjgTu+exNetYX9u1Xi1CWhhmDfQfjw7heBnI5WcRcvzEfXvfQC5+7PBL/jHaV2gPFlrWL8hxA6Tm8vage22QcaATWlyx8NyUsBz52F2Dq6m1Ny7MvfSdzMydQjzQtoQCzVw4V3C3/lrW9Exee8RufLyx0ovfza1yYva3Z9q5XHupq8qQiER9g1suwdts+bW5LMxIaCBnlXRRvRi+j5OO7r+dVI9vcCC9hzCGBHTQBwSllqdTpHe5Sh5+94kpe3zFKgrj/nrXFzdukhQFS1VEwMjdfhWhabea3/jTJ1IP6V0mDBozbiOMfjYJG2YjCrmrQ2MaV1MVsZmzjv5bIZJypCP8BzvvWWuXvMPf82UIDLlFm4F6NtUoF1l7mRr9SCDyjIquamFVgXq2ERywSh8NrHfmV6FxL7aHOkDcCE6j1OWC++VDfKadX4qetKy4O97b9mqOwUIBZrV5OuzDHjb8xv2XM293lOU2HLcg3X4sg4TLBm5mnr91FLozPcbs5eXM9NbXk14mKeGT2Aj5i6QPVawqirQiua85c290lkSYk9HHPILjpIX+MQT+JfPc8EW7vKchNMj1cmPKIBDnOmTujIGXfapIH6VVCWglQOO+Ay6QtMB8TNXI8gLmQtNgHlN/an3+XJFbIxElFgp2IPS7b4ZQ0dR3+yJu9IlG4jvItfljUfLrn7NTzGClkFJJK0tA925P1iZa+qgpDCXPCJBhfjIw3QBwnHk6t9o/1ufLTdnUo3l7ZvC73MLrRVvKwrzdR5wovp0qcEXp66yj9ZUnIcE1gN6NNbinWJgTmTuvOFXbbeHzBQqdmZeiTnORrNvrzYq8iri6u7NG01HcmChxzmepjMlaaannjnTf3cz+ylm/cSOr9k/mHsdUQsxTFXAVSUu9JSGm7UC/qv6/eOwtklpzhtj9XGCr00jbPZ6raO1vGOlq17bj4O1/QRd2J+H6dGg7FH3PGy4wk3EF0XJSDR2pJD3E2gtaau5iZEEv3czt7dBz/fg556N0JYA/yziaSg7/gmK2tx3KE2N8v99Vwja59TYKjP3I0pTy543L/BYq2DqWkeLVcXT99Ga0zzgwFOeUxcoPDH7h7iNB+/Lmn5qG546TcweJOAZj/fuwW3NvoknIss+OOmbbbQ09eG6bCPB8nk43TBPjrlOcgKcJvsF87jZnPunfcrvbmX2IsfUMJ2fFc2GwfPVjMvj6m/g+UvgLkfmEOutBB3caag470sm9//7rikP957g8oe7e1uGYGdB72Jmj6xre0wb8JHe9znIvHMnLQb2Qzr0Y+6omnMyc6cBxmymph9uyI8saC/nTq//8uB320Np+0vFSffeWxaUdLLwB4ix7gl8lIob+1/cpUlq9jVhprSEuTB7y+eh/a5GYgMv2Iwn4gwxRgQ+OofyqQZ7VGtr+pQf09fWYbp5nE1PHBu/mS3OBiUxaHg8XEE3LC9gvptgywd2/rhpiC+ZqbtetClDclMNWwwxyC37JTh3Iay1NlA8MfN/BebpyLp3BTLnbX8XBrqOa52CRnvHL6ZW4EIXxqa/b2hvvbgdOnhFBwUske+2PzAGqBpgffaS5iFm59CjoI8e1Fk+awd8Npsc7thDDq4Ixi85F0kPU28RV/Jz4RcQH94+6liHfAFd6Mv4761adZAK+eIC1qatd6Cj/+WJ8x4vJN6/gMHtyvGO5ehvTqgtiOtHpMcb0H+3M/gA4swftEeXU6AxX5P4aCUh7pM3R5nezEvGJc9DUx94uZt93jPb3hur/SDI1O1WLujiloHPAP//kmjKm4KQsifsrNtEOdcN6Pj5337ymOzO4L+UbcoK/ltf5nz7vc/2A37l+8Qw+CpSUZ2B7p9CsAmPu6Yv8WRnFrrwi6nxh4rz6POT0EXD+eEkplWEMmdaF2T0p3/3I3bz0HT8lAkV58XXjXZ+nzr443/f9UmiKcHh1pdWaHoPhAyhLA09nNoIwc924OM/8Q7Mmicd7fYOvPsuHzauirYO6OIdXpnJiQuwk3yc+3YPumeTBzjDQRuT7msFPfHOn59wrxb4DGAbfRFjBja0d5TJNRXsUe/+PJqhfFD09QAWeZ5HZueCuSe0X2RHDlJ4S941NwK6nIWtLYL9K71sf1Jz77Pf3EDDx6cIv/fn/WZsCwYc1Fy2j3oEtuv1AXc6pbp5UZ1cQS8HVYhGmGdSATfDe4N29T6qCOKdO/1Iqt2jKzemKmFqt0O9/vVkfHUzt3+VllwqNr191NJYZBJiMv2aPk7oy5yR5MAtk4B3Ag5da92+IPK6Ytg/UqS8xkJjM3j2SVxvWHi7NJSJimzQk6Dxixb8431lGrl0N4tTkQxKLO/9jSDToG8c3v6rlRgiWEHmPhb4FoRgbJpb6Uz+OcDmht2p6reg3va3fCWhYNseB9zhw8YTI6dZMV3KYurKDn2a2tQ13bs1wuaM+X1P6kMxO4a4QfmKOemXH26Rb/CLtqmZU4ehU/YJVoy7YG85pWhHKGYprC0Vzi19zZ6IQ6eKQ7cJSksMHPTa/UV6e0mHbVxbS9sM6DfXUTqE0/Bf3pYDPhH4R63VyLXJrxYs8QjDAWiptbGRBSxylGFi1y7vToUa4Z1vuaVOtekRZrfhYfX3oDlNTd25YWo0/RkyZ36PIei29tGIOaWcA6ckQdXLU2URH7TNJLhewJfgE9f3Jmwf5aCBh+eSUTXB9+3h5yfC0IUBtUlt7ohOj9LsexTTJ9jJSUaL6eUh/vddoM2mAnxfSdEU5hZ8ppsw6uKZr21ag4fPV78qLXIisS/NnZR8WDbEVZcqJJg6ENNivPJhobD2X5nuN3WkLcUm1mj/B5hpc7Tfe193L823mLAZJgzjkjMYR/tAGIx1n4SSIVKtiEqYUeBhK7eJMPViD68tyyNk7n9mOdIWD5SAWKDTlSxADE7jKl0WyRPm7QAs93tXumH3tQnAu8b8oRCh5zjZN1HrcUePOJwyZiW2CJe7GjX4CvUA7fyAeK2zMQXGn+8p7YHvWlj7XMrhaXOzZ6/xh8lQP0GcgLX35ijb9M89unoqhfcpYnXJBpzmK8TcYQphnd8zG1/4gMeakb3Ju4T4cVeu/ADddFPh8r8cJ21ynP6dRxntzvXUimjxai5pPej3XmV+7ueqCRdQ9s+H6ddWj38dWeBrLdIXaNhCxObv7ViyNs6HbZv35Am6WgqUrbXAc6n95BwpiHIKYgUob43ayk1ONEQidf1P0FTvs9EXrLXvg0XKmnK75PonH6dbGiNBwyWANWnljvw42MRrCvSdA3PBvBYUScNZOfDikMdtV4IfPdit2YNba1vZzdDbnMshpcrcz/zNdTy4mUcDn+a0jevQ3C/kJBc4ZSHK+L+8AoiWXWpXegJjV0ka8U+TM2/uCZBYe2eqWUN1Cbw/p1Hyfb78uVGr35zyLfAR6kAXPN57lTiG2Ik02K0EHTjH5LJtcad8ozHPo3RUPx3pquxzvHcOtv95eN031SrNvb5n04HFjUblhmBzMisdHIMd7qq+vAEXOuZOdM3YO6/yBWPzL1+edKXp27urI5zisAVWAC3CQINGoHXsbM00isoB2LRXgq+gdRG8rVVugCkk6L4yX00OmgpM3x7F9BV8TFUJm/JOvzkqO1je5Rz7M3AyNvefTJ862rWfVQj+q8OmD0JltOYZya5G6KMSWJRUByJS8Ew8p6O+/WNP2/8WYutR62qBluhVkFS5aMl54O8aQWvDZQm6C2MrKejK/Yxzc0b9kK/7ImJ053Hy0wR6OMWtQ4Gh/9VNpfulElenKUKPRfsXFZOvbJwdLeRnzA7/1cawyAwMtc9f89vmex49nbNAR7VKKx/VQIBN0vjvixTJg/X4aLSD6d0HOuiYxukqIK4D13ykFkqBI6+CTzeF8PPEvxwa8p5rdcOxWkzNeDJsX6c4eWuHTzZMKXP4oSzCJ0NG6zcbo5NUsH+eC2nq5Almap916CJ6WNXO0pWDPaS7uwtM/GHOz4CfTmmUrZJnzsEF0Fp1T3S5libf9Ven3Jec9U8WqFttbcNymDhxnlYGTEr534XbeyeDuZKh/m6GOWSM9Pma7DKGK6z1MXcgTnYtkpZ9qlhrQUQVZLCfpr8RRDybWu0e1vV7f8NiTIE/QncaeSGmeoLY+8OBg+piApu0q5r3lrz8sU8x84yDNnViwQ7AV/5ZTW9cKvhnHhH3YNlrzlsrddCVrBgpJks2gA5j3vu7wNLnK6EkkwVBGTyP6RNDI5yn4XziIza1an/wwB6qYw7+t56SJI+kf3RC68z9y8FSu2z8sqWLnmdhH49We2hC7aajTLJBu3jF8W+sDNUFx9OGDHpHoi+7djDO+0UK0GTZ4GWNtb2zlXegIUFT2NnR8Q480NOZTwTs5Smpj0VPCipsr9II/pzkEtalgqggO2A3rt62werQXskw3Y+rupq96RS0Pwt8IcO7A47qRUefiMieTa4aQRADOJ5ViBdptx+Yt9ezVlkVMhvGey5paPrXahXaY87wkoZbnbP2zTYh1frZaHOOhh9E2CTjaKyFtVTudSWj2jMhy9Juo9Lab2TMKzZo5zxOqWQqqiD+ZP0fuwFihDVbpSt6ARvdBNh2bZd23k8XzOU7n403VhKzlXyCTReNQzIl7L4UiipzE5FrB77PaXTjlGya695UqVJVw+TMx3/1Nk6VMOcfesmtxuLRPEK8ueeW0aCgSQbwURBf3ufmOfIhPpKVhpKcu1bmNJENLLR8TB7gIxDMb6ssbycG9mJh7+SFnKWYMTBcT0N1Z721Ujd9ga1bh7XdQ5zREA8+Gbu6ML6lBH/0zu1Jo9bw6kLdvzfCFGhxNZTMe4ItIRonfmXZJbGWJXMRqXsbiGM7ATME+Rg+mAA3GupDHTGn+n9MfVuXojrX9V/iIDXay0YIiBKLkAPkDoijEAJSSiny67+V2o/9fhc99q4+KCQrc82ZrMxlo29RcM/cc1dFEgCX6ASVT8Gad79Ry+xRSY793/q8INwY3+IqbiwZEMiTCz1x8pJRUjVrwuFnGHPllaa+lm2fYnhaIvJ0OpozhvmzMv6WSBPcL0QGErSYf8j6//P8TK0vR5lz51VGArU7ppNQaJTIINmULhag3YqmMHeyVWV8aYmz3WHOq8x0m/vtETYVRBBsutBKZw4J4zBPc5uHi9NENmiEf/u9ZWpq78WWmhqhtN8/ak1ejZB+NmwczjFwgsZ4urmgxbKMQYysbZtaC25G1aeIoMaWWnD1BD671IV//D2vjPTMBz2n1vVRdv9qUzNp6312mX9U17yk2C4m+lWsGWOenyL/p2TbjxKwAPjpPWfX2yncOOlujs2dXrb6uIqmg3ImwKmENv2WqU7tmq5/kBUtqVPaXKRvDnCrwtYx9wAV/esB9fyg+TbjtDR1oxfc9a+TaFxs7uZEz2cFsQFx1OaO6X/RWycGPIsmV+BWpM7nK4uAA8dkX46gDcb9ivs/prbuvZYXcz7M47+bg9vczJklFnZX98CR0CS56y/M8T5hXf3AZ9i0t5+819icG5yj0Ctd3iuK23OEmdkzPwJK8xhLCbgo8lnCez65zf/5zjH2BxjJrz8MrwTg0Egi2aupucw9BuJm/OmBNS81n2bASMDSdIVc8YFD+1MCZz845ebgSFxaf4DH2TnvW9k4dkFj/qkKbp/Qv322/gS5IzV3hjupsQt4HpkcL52jBc/Uzw/ueC0NpN3k8yN1kwG4Cqq4H56Hya4i0wfB+I+2x8pZAHu+HjRubDpOOgcOU+dbm8ZvbxaYLyd7HOypB54tTX95YvszLnjLOP+hUXIpB7kxPYHOYeOdO4hHmG+M0E/Wf7mYY3mKuH8GLnpCmRmvj6OlfiRob4XM/RMNnGB644ZQ4X6pdWr2Artm/fJUpL8hpg+qf7qpPYEeK20yYi5A24rwatemjrxHkrohcFv9gdfQqsLsgSP1cYrU7RR5LmjtG4/KDdb+R2O/9wHuDu55JkO+VvCMFUcb3iUL5CvARG725p9USMjBoIfX/QYACbQllrUG7hluf2sfa74HXGkvppdL3X9ZaYAA3whk6q8N8J6YDf98D/bVax4blrzqYZl4vv2UVHvGW7TSegAt3VfCu7HIpqnuLdP7qKQEpzqJFPBpXiCjh2+cTabnLWWW9WQxWVOKAsrQho4tcOB/PoHwd70EtFdS0a8Hi6cPSrGp9YGM+rVp+hmyZ+mYflKpuS+5JkQV0sGmF/O4t83d4aqDmLURhTzzI4bwBvoeNFOSVis/nPulpx1/75lbkumcF1qchM1P7GuprOmn6eUtDf/YdCAsZfMG1iovTa+zoi2ZpcqUJd9NCO+sgU9Z8DlrGzS6vJmdCUrTW9r5izlvkUinNJy9f7wX8sXvXTut2xrxthYyLymHWOd344bLNDY6cQMark/FDIRHH7FuCXfVBwzpnYQJjI0eM/drkfBnaQRxHnkOpXxv+JG4zPFbV5bMXipndk/xhEkgD/SyDapB9cCnpfGQEmF7gXlDJ+DVrPPh4/wEUz5DXGBmX5+milZG8GxMelhgSSx5BS6ynCh2ymH/wv93D/GYuqY3utqrDr/MOUfZb/e1wyNm6jct9cIU2aWl2nRQuanbIw42VT6vOiJ2ZpnabtVyM0eIHIGX7+t4sutBflSh6flinlu+Y97mmu84W2SK2u80TgpmzvHDLQZ9BRyKc+OdBDoTZbRFavfHObxmQpzWywe+5mL67dmAAz/KqH9nNNuoEHiP/vsE7fogiDzT3fa9f+iZ88OzcRndbTcQk/fG8vzzkD4rZyrP8RfkGZLK3cxwZHpKw+/17MGCr4eIpWP6y6gRpaojE+9U2oD+OUeJ4baQMgnkVoJk/K/m1qKap4ShsUK8YNayAV6UE5M7RdIDM/KZ01LgROvB2dIKMLfi11fmhCuz+VUO20Mm0Ar87gVYc1TWBvjBdAcOiLlLfGlN4szs9/78hQB/BS5zk04SC/7bA5yeIrsE7eqfAz80tWoCqbups64pYZVrnNHRj6I6MT0KQEXp2kq+j85mPWv5SMX0UdO2qDqcZa5fnLvyzW2cg7VxahsVwJMkdewyH0EhWbjHLImr3ZZim98BczplEVby7AXzfeGWx2C+vlOn1ZXZD7A8VDG2VlH7A2vkCuMSN3F4YxyPMDbvvcpvCUhcD6B7CuMfpow/edhQdcJj0gFnewH3P9KueWCzPcDb6Ogse8DpEVByAB25l0PbZsNSsNHHZx56tMdBHSapiEhb6XY29//f+svcs4D8K8oi4aCDy7qQJR+Av8XcqdfydTZ39Mx+S0ym1Na4iWAZaVz89oRmX6b3RFCJ/iXGfjV963jgF1Xx5Zr6hhNPl1L82yPa5M50yUBjlT1PIX+bnqm71EpoZROeRzhgkSxB3+ha6LHUXzdlTTHouoDEal+KtgINgLjBLOp/Sxf4d596PG5DHqL53LcP0xfjjVEkgjx4mT8ai6TUndZzoSyKVCR6CTzM/t+Z1CQVsLOK65lYyQR63+zFrbJoYxFdPRlOnEb6ozR8gtnAAduCi3ZSlFsZe755lFNH/CPtZyE6/AP6g8musaoL8B8K7xL/vakR0EjI7yr6WutOAv/Q1xQi/uAswOvtAHJdouLkDvjip/0UnpFum0IfiNvKamifKcfvu4GXGvIqHbZWw6cs6/RKXJ2mAnS/uNvGIwLGqjoVgF32X1hj/NcfVoRer6L7o3S4PrhqUw/exxnkLY54RoQ2/bAiwZYod00/rORdvxGfYu79+hZrvlG8XOr8vgqejBlbAhyzjanALC/bjFjN62R6sRt/+d6zyOp/QH651jboae7DuiUfx7XFuak94BjmFw3Y8uD78f/01/0B4/Drv5F3/snovMxWKLPubroC10GhJQU+pRHzzB2+SkicwxRCzEaCG/+V0IN3yk67P+4pwOZsztwxML6tH+mKf1Rk6u3Vu245YTw15wiPpgPdLlBp3AhPzIvyQPZ1rG+gDS1a+NdUqyoN9IaPKfAuNP/2IXH6B2D0kHdsoU56M2e8qfV0sY06LPhJ7WarXpOfd2zwcJ4590npoKgeVFt1aDa9JblWLXCkzQH0V+ryhO3+PDLum/5hwMum7LjCfx3PkcP9SS7zpRlsJHi/oRHpAHfbJoZ3sJAkwAn/916EgF7mPLVgHb5AC+RmDZ7DVkhk7oZnpgbqUYrpmdnGWVr+cBstTJNWRH9u+eB9wvq4gZ7es7EtBdV2jfwpp3g9ob1l/H9FeH/XSMOaxJbsSvsULh2J9Y46lnWO5onF+iJYMp6YWiEfb8z9edBnDuTtFPDqSNfMZfkftxol5C1cVL3kgHG3THw91Zp85CvwMZR8Az7+n4/ZMLEMuCkZtrfDylzFGovFgMMr5nXRvirk33DRvJhDfk5F9lKrFkTwEPReSsRyh3ghpNeisflMxfZ51n5bu1MAeMcIcEM+/rtr9oSYMftapBEJrSkX0gGtR/UeNORABPquC5wAh4mrEHKZUFHG5SnleqwDssJzdqwAjjNmL4aYC5pNKND/8E4lo8zlI9+ZO/3v+0S5PSWVoyTgn8hc6Z6QOYuXRCHcARQDH9ILtv64qQV/h8tF6KQ4QxCIcP4UujXjgVOujtx52rLwRVOU5i6aV4Xqk436U47/+tHfYG66PFSmRiqBHPxgoJ+zjnRNrAvcbz8A12Y+Am8s+O+51nHdP2lhnunv7TyoADjwowl0mFs8y535t94xG3VyCq9uXkxxKd796O+POvY/gStMLNA54PtLmv8HLo+HZRA9uQrOXdxvNvBZi/FRygvlEuOfMALnCbnZP2pPMbodncn9z4d6Qorhm7RlQijKTkHy3lv+AJ2zx6b3MGQfOpbruWM3zGV/cNqLZIt9Ak59jv2VDBIwxeTLv1YlTL9VwFdxXXMjByP5cRKlWX88FzLObP+jtqb8PLRHJdS7f4oDPO7UsBaDjjyegXdlBXlUNrqCpjjlKDlkfZKcO7/H/fLI49JKXQIT36/S5QTYwvVgOKVGHnCLR9oDx7dK4IeJJHbpCto7FL3jcIaZ+bvyPvOU3Yqzbt2j7ReYeWnZfdlKLBZo71MlAJUhXhrISioCPRYlHwe7WaqIGH/c6mjziMZtkRXTXTBvhbxhi77VpOcPNsj3+gK90CzGI+NgzW7KJlxTyK4ovIEu22T2X4cLfRUC8JQjmontCXJuB5p2BzqKVYJfWMzcw0r2RABHvMz4zLzLWSxBg1DEeyRS5L+1w1gydQQtaQl0XVWIL3U/pazXexFIl/bTktNy5Y66KwcYRoeBAUEO1W2Ujr4uO9LDXK9lh7/raAFmkXn88uchI3kpgR9XsfwAPZW/Yz7ruOCvOcWh3hHT64nhZ+ZMkYTvZTHIZqGBj+AfEvYv3pEDQWjPi+ma03RT0mTP3WlPYuD2NuqzNckz4V0ISw6Vi7KMJxbk53dsgKbMPNkvF2L9sSqL/EiKDzzePxSMK7cSDRj5WY74co40IDjqRYGA8+/dpkiXBvQ/1T3wI6+QI7dZNGnGVJsV/CYY6NfI1P3r93e1R4es+AK5LgaW06FcCHNuk5xYQSjrkDiH6IP3usW2BIyTJY338N5Lq1ByBLwwPlld1qMY4u+BGXAJ58uiESqJrYKzhrFn6r33VQEnfyhT++fqCXRo0Vh7T0HsAU5WeWh/nEBnpBCPqmv7Brhpan09cS+jU5C+zN6xCv5uTqHtk0hmv/4PdnKSNsnq0I5qlyP52r75/HJc2Qt41NQ4OqxCmeBAFfXK0wZJFzjIgRY4qndzCTHl1CH+MbWmrEB3zqeffITnG0w9DvA3C3+aPgAp5Gk1bJ6UEdec0XGbvMewL7sE2PuSSUaA+3kuHdqKhjZwQW7uGq80JP4plslZTFywbDU1IXxEFuSBK7c4YihbT8WE095bIVYuMmbWSZAKPvdyyrcZDrfvftkjzN0RdAmtOr+UznSHeRNVmARyMP4hpl+Xylk0czyQ395xWaHGJiI5jOF6tDgGfHVEoDY4mnvqeMxgAV/3j3OgUoZ83uTb972AmHXtgOmXhdfmxthSHh01qSK0z4AoecePDeJHFhHRRPyHO9kTw7ycdvORhs+VBtmGACbXCD0JCp8sAj2x9h58B5OO7M+7WQLmvbVex/oJ5VFCzqZXy9jfiLm/KxSlRVJRq3dBt19knzkCJRHlcgdz/mk8LWiAIxLe19SWPXHmlY7TE9bOQ1LQEJzTE29vMpynzJHsfW5OOf6QYXijzA7lSr4J2rvUWrrK1BcKmIN+GmtXP7KRX0AzvOoRtLCW6cHiNO/aNEeh8TFcc6sleb9fhAid3HQTLZKSxEmQF+17j2jgY+NCfBEqFGTyP3bTb6UKgC8NCDiLwvD9oKN4lVN+ApyG9XN/Ki69zEmOJW9/VMB140J8cBUCB7uQXrqlQ+4V0n0t2k8l5vcZYlA6E8p6b8aROVvAC+ibIXM2jhTenNpXl3S6z7tkKId2Jxn/Ecw+8bFNeSiJMB51w/aeDuSlIDbMfWpYZ7juFWiG6ae25bfxCnnX6aXWtmIOhjH4Y/pa5KTwdzS8WpVjd4DtH41NDpAfTpWDQQfLrhrmgCGe8aGHTMZHCZhbBbo489Sth1byyHjZoR2gEHAffAMc/ddHNevlkTN1oYYvraZ3OiApn4K8xx/52AYyXO5pj4FffD0rC9SEreOT8MJylHkT4DbVvMCgn4SwL+ceuBRCdzHYbc1VBOMojYfnu2bJ+Aueu+SzZJNlvHCBg/1XM9Vvjbf/Df7/ko3At6NwAX6bV6O56+yv5wA/gb9+poV/4ggDn7Oz2kGkZBsb4LajBYc85+enMHnXHx4aXXq0IBC3OE7RdGHGU7nXV+X8eRqfOdDpO8Eb57jKD8ORKNPpubdcau4ujMkL1i5P8+3F+G/IQK/AfwnMLXAydWxCtEiB3mPYpqPGlCYDdTBgJ2juYg+aY/MqObJS/fdWie23CBGXYQLyVF1Ka26p7T9rsS0gTx2pJf3ssgUBnLTGK1PZBIuhXbMexpaRtnTRO+aPhxX7AnGHaORDvkW4//KA+x5Lq3Rqu7xBntTVbu7xwGFcM8C69pSvhIJeeQDvsAiDGLfLZx6zV82lpCN5pWv7CXz/RpA+1at6c7ZrY21hDdztVChLdKQ6mXtWQ/YUl/mkbO0TyLU1u3vwmXeCyk3GbKsOWvsc7T3Aqh81Tl4d4B/A950MkPG0nEu3veWm140rs7No3hq2O1g64TTp6/4J/ILQzJmPTYEe5wI4vOnHCGPGC5hNJ7yl45RL0Qrg+GtuJx1lE2ji8FVbys01HlOWPFhXvvJOPtPB7LMonfXTGw8pMf1Kke+XWt7psHfLrllOtC15h49pID3GthNgYcx6vGAkfdNrPHO8hbkJOVH1Azh2N32PTX0vdnhZF9MFZp01wd8HG/mnEPod831u+uH20w+O2xcV6JQB9weewJoRcqRVvk6g9YCzP1N2hc8CburY+xMlz2zFsDZB02rsMbtfgUsi0BK+CiF3rL53Dm3IIZrxyH7XfYmGeRo0UKyc0GNjEtUR+q5GfhLMOMUmHnDgRDqoagIFPDdbmj75UL/nyShvxDQ11gS4jL+ZOceMgEcN26eEWOdu+3MOJ0xG/q4XfUH83c5IV4RhVAH3gBzyWVnTIKO78Y+BXNP2cmyjg+1PpGevTGDWFBJyHtrVr7uLOej3VXNSkOcp0vOJE0ltiKfx6mY96B/0r39KyYdlLO0vU28dA67kDU0CXEwPIdrbf32IPJJbU0j75Zn19qGK7MPZaNMY4QrhsbINn8EtD4gmVrtXK2GgH14wdwMLvVPq/F8vCRHxqtbXpQYlXrPnmqO/8Eu5YuzdHJ4+772+YVMGOf0oaPmUoJFOKJkhh3FY+8fGBY29yh501J4MuqjdFudijlLd2KBj0Vkg+73nQOzJK8UfJx9A38KzHFdy57Hv4li1NSJP0FWrGK8PiqYP7E6xiBIn1RrXutnUYQbaQj8J968YEZ47uuKDx/E4FSWsdciBjzRs3hglKtPAxtnGwCc55I783HOc0a/HebAPB6eEZIWfnCLvFIG2BT5Tjzw70d7GzvW/2i1autgmF3P2Ye7RGE/Yc9AyYnzOTK26889P7yJHnOegRihCI/A7o8upqQ+FmAQ9q/3/vMO0BjXtYcrzM2155jReM9hO2WmKBbZPCNboIBMKeg/W+l6EC/wbNZhnqYJ/9VEP0Mr64OIXxPepzuf/7gtZ6kmG5KSG3qbCZjxkNgX+cnQ8bWoOiPHeDYyX+vTAxh83hhi5bD/zQmaUN7fUxrhyW1GtvmbF9b2XkpaMoAbeR7o+At4f8lhnxlNMjfpE4smjAjR037aVqz4h5x7I2mplfFkQMCikyzogMeCYqSt7/Nab6clOjU6MMljP5AWY8Obz+TlGHX9tD1iUMC5fruxt25zRsDiBvInK0lkIdrxVWaFHBm+oYW3n8Zed6b3x119q05GEIhOXx7RHsqLJyAvQaNYfJ3OTUVH5XstuZf91ScE/VJwuFZpmyC4z8POq7lLA8mWoO6lTs1OjfXxi2fOsE8/00wI+YRmex/L5A1Z2b/xETK0AMQ4uqH+CdvoQ4QQToMr/q2fDn2xsuxPoAZrPs2IzYW7LgNdhFnmghHEOemFthumkHBwAJrQqhrXsTlkOmodowLcY5Up8ebife9NNyfQ7EiIxesLcZ3/7fpt+lb3xvCo79YlXHMhC0dzVK+T347nAHXWuTyrg5/5+4/H1JuDdVWd6MbQxPM+vr+2vZw01nv1/n3SUJY+ni0Doo9SgS+PkfZZ9Lbm+pMzcfZ1K1dsvGvsY03SlzvKRFogr6+sGOnsHeL7LB/ubu/2GxyShNHWkqfF01bUcQWdqgxnNq0LtbLpuwIi+Sts3vptv7ZCwwej2/lUNbK1G1Cl76imfhmyV11yT+yngm4PxhR1B50fZ7fAy/VZB/5t7oWMiT4Xx9uQfsoDYpcYLS3op3Ru/rha0U3TO5/e5edeI+xP07RG4SijFdINR3J+FugMv+6zh6U6U/+Bw7jLGCxG1eS6U2a9uSQTjp0MnM/W8Vrsq/fdhPIBSx3s1QzLgoH3KfMvI8O6lPiMWtHO2cre5zMmZed+ilzgfpjvudFD95wuyyYQsQT8WoOuzJkgI7pISdBUtdWaxcP7Bw/Zken5wjUJ4FshPHHgUvKMVvnIreZ9xwDslbu6kL6Z5eCpwyhh+wHfucpsfCMeREHMAmPJj+i6dhyXJROuWPQJ+n9xrJznR1cegQ9d8Ne+LvgW6ehX1zb3+JR0xbYp/np8/XE8Vd5an8Z/IbbwpbRmVY/JTh/Kq3PJ1HnvnXChcgV6szamE8FB92X7kw+ZBQhufgnasQh4K0IOwnksxkErp6U5HVYhheQC6vD1MPOVkN9rvrXpY7kok340tp8xKgdnjG+j/V8WSqhkUq1zkEmexq9dWZC7+yVwyKdB/OWutKuJaafaow/nCh+2FWNNiMKNe/ROM8ztXPitYdwQ0JPAtwRnoH93OoEOtSiy4Wc1ZxfQpNEor13fOgAec8cfBWvJTRD5qh/8ADru4b4yHeoet7Ucd6oVoHEFu7ZXZk2L/vAjGnANv2G01iwmRlunTwK1mTRgJAPdMbbczLYALDPRQBpo9rFjjpEjmmTYew3qTaVhnoiXEsjdND9LB9UOB8OPEZiZCyzQz+ufBlbtkp7SEHNwuyvRe0wryKbZ50b+Mn1AVIVP7vPx6TJp9jSKBnId8YBc97fUB+J5VURJx19wFmvYUNOuZ6U2t8ZEXZo+c/6sxa1ae0Kg393oCZf99Kccze4ige9CJ2eg7X5MXcM+Ih8beGEWkMD2WUtBKEOdc3dPOhzjiYW58s5BamqDfyAJUSm/6+cLcD/a7pv0pqSrOA7fPiC/VqH6ksP0GAYdgnACO98AnPNztzX5CpuD3OPCfxk7WlEmIWG/OR16BgAEOxDZn7X+kzNQYLkAo2pY4bVI6ybvWcdNEWtZM7ZpfjxDymdraZdHVpa+tk67NTXLgtF370wDmHa3tlRW4/K+2Z3nhtVzKfOspkT6U2G4oajvuyOXE5DcfZlx12Ade+q8uJR/S5eBmz1Isx2xg5p58dy78VHUa5oE/QbsPBycp88juq0Jf+drfAFPW0+5+OxfT7331epWPhv15lAPeNF3vNjaPDyt8H5uulUZvbR4ZjzSip+QcteIc4mdZkBI0KPAh/8A1c0BHP3KQRlnROw1IVNKhyfTZzW3gw3Fr1u6NQh7HvA1KIT8g7r3GBe0dSSdj5Kce5ft8+VMOiZ062KqG6cOcLeDgyzvH8qKCvX0SScGHp02t64NFm1vqhk4To9RsNFWAjVVApkwo/9dbPSQIOAuwZwaaiLeARXdY46WCPPHOy5ItEV6bR0rRvVm/Hkd3+vjlTRYfGUvC8+UPaOTygc35SZwazUjM3hqle7u0MK8FCvlKKjqoCXiBQ3v1XffGZ4VPlbMYz95/XPS4AnfezfvDa4b3J44KsOlfMDXRvKGxTEShNpyRE2hIP1sVOzNYCy7ibGWm3usJenQVYrlxG54TYuVU8NPZnAXxKay4/21qh97avOKmJ/aSHaw/FnfloRosp+nbDHQl4isvK84vpEtYNUCUFtzOhjkElYMqin1YI7Na0ZUDFpGQeVX8u052aQC5pWi/uaW687D9/qcdekSNR0AdoqlxE8/0rmmGbdWwNqtWeG4KnCEkEjtLDnplR0Y8mxyd8utyXDPTAw50zDxhTb7PwNdJhFkdJh4PQkcwfgfN9NbLVGnego5fmQNjFvKegq4nMU5T4DcHq2U4wgPkjCKHl6GgDzLOTymV5tb7J7daDPEUmbuVtalLtMk9Ze2TOcl37WKzNuyGX//1Ka6oLNOOkCYqN3nkuaB/Ru6SAeawytk2zGi5AL+Yc9fkQd9Ow8TU4jEZoX3ZyY0I8V1B7hYdv6ThggmsvcaC9Rb2NolmiM1/Wk/ToX3SgjBaKHPf2CG9LbIheRr/6TT2Tf3xXRSAk2O55Iw8yn76aCxYyzRz5Xi1IP4+gUc96u5rYUVyKA0+60lyG82Htbcll++9lAnW+ESD5nEK7eXw+vMALlXxUF8UVTOwWdA0odVE6AZ6O2xcRRurzUob1nJv+trzpQnRDWKjLHv8oYAfM9T+yFW26Tgt5ZoQw8nf3AbWBgUeEsF6LHiXAW/me8Vbdg61bXrLn2kGaw5WKOTepvCN9vsA3nmqAj/LhK1L4L48TEYZNi8ZKZmzZFERfpWrCtSq+ib6xwEo5FWHUVinlOTU+loJT+2MqZFZ5IgRxIqj8Am1HLSOXffLsXb0reLTgXLt5mN7ZD33GEMk63yHhaGHmTxRV+Hj2mYZ1T9nlr5jo4RcNpZsKrPia4Uc+dHEja1cbavRnP1POB2IFKH0KqdcmKtLyKWgj/hPM4DOH+yduetDYn+Xuz6Xzoxqjj+4HZp7xwhytziJ9O0dcRVsPpl9a0nZAmvlXv72Y+NdE0piPD1zPc2QRwkNkqO0jWfaPKWh/TL9v84sWzKuBeDghQyqqEXoYJEwiRBOQ2a0b8A0evuK5BLxvCz8bzImBeSGF/CRvBJbWQP/Ohd/rQwobmnxgxo4Lq1sAbVlEUQ2siNOQ33jozEyTZKc7p3G+JmGC+Gac2mrQvVft9qSb9+ebxgPXsdkMf4StdkbNR55NukquzH17xBr800h+aAdcHSe7HGo/VOoEOv+bmiXaFjVoAu/POCDt4yhIDV7SAHoLBf4iet/4r795yONh/nVhAnOXalNPzUsjCe9vmU6Gcu19dVuC8iRhGnQHpouSTgClU71M+v6DQkh/8B3Ao7t00LZInzasF5eoKksFfsSa/UqnVa+cwrokpz0iFewfiH2D0SouXI1YY4eQCfd4edbxewCNFyQW43NRmBUw/ZQsd7JNNvgoZWZIAWxM+O5ACMi/axXCcQbMr3QWF++49ABnvJSsdkD1zsAWYs5CDVi3h3tZCH5nyce/Y2pu6kDwP64nZilOegoKw30mPYeLvvGeI3H+SgZE6gXpjaFJ5y5VxcUiVOZavr/vutu7kz8xqezzKB5PjMqC+AASFk2JhHpT/n2lFqeW7p/nxjiv4Y8XfMJ111zY3Gbn+E7ATOOwGsOsMbusiAPORIMfGPX8AQiyXvH/JoX4YMXfAfa/aGA61Wj0VMkzh004FjPvNAxp7Kna3tJXTmwfJs2jvdT5dub6dIthvlW2tdXLZJeCgQ5QSEFz3Hu72vmooQ5y3sfwD9a16Xi+03OQZtY9qUK2kEAL8Rh+UiH6RM7k9UMwIkp7rI1dIyPA4+8fVW0fs22+/Nl+4nZllTOb43TwICrpK/5IqPMOzrLr5fS+16AuZuGXemcA/xKAW/FZR5kp3aczavxsKsi2wc9dcxZ9sqLKa8dRQRHuGLollk8yLoW3kQuCpWLQLI7gxhrLPszD7P/9eLR/7ydVdFW//Oyf6Ud3kOWf4B+12eReqBFUjKSA42WDcQLglyia4hJ0f11ypW03G5LxZaksiFvAt8Xwd6lgwfaoR1krPLS4U4+4vcZon2wvNtZtzfOQXNA/mJWeGPC21Fre6sKSajw+nOR3I23T2XOxAejVaeCDXNObNAUKKEUmBpw7rgp0E+qyZCxdjmL6wI6Y6M4Pr5xPu3bXa7R9RRyyINsyboQOAwJ+G7OQEuyylYJ/Jm50wk6PNkzG+9IuJxqBOg2KK2s5SJXgihVn9U4xQT0QekAfxZLUWr0CX/nvWc+k84/poW8Ny75hqG+siHZnwCLGZti0SUSQN4589b41j1rc2/OlpICF2gcc340n9hlm2Y2+pSOXVVsgdwMI/frzSVv1dDaTMz/6gEa8WfN8j+LqRMRaO/lMfDoXu9rhDoKn5iP/i230Cd+zd/KUhz0mBYRMr3CX8DNhRIaeM4UcNo+8x4jCp/B48kCwcR475m7Ku/+Ka+q43bO/V0FuZE49kQ5/wAMvgGP58xWhFD9febJyPs/D8DzlJpzpRAPGYW4sPTh1wPbTh4H17/iSO1yRKLaxqssJIfcLLmL3hr2wUfQREgKwKn0HLS7uvA/qyKZQDq7oKckHXGR9suSGg/rSINu5Gnptjnw1HsdkbkWGfAXfT8hfz2svDtAdP3i0NqWFXBLxvXbYyHOht8+8kFmlEunexaVTyrIkAv804TT0/i74DiBsdgGHLAS8CkGjeZJlDo0mi4YoQS4SlraJM0c4yO9/NDIcsVY2kf7/69bvj8rFzv/8zABDXI1/p9cht5O9fwbC12mSJPz2FjnfhsabMeuj3nwF7jT11L3CcSdP9Xr3oW52hGXf+dOgqVWQ21rP2WeVJb31stB6uKlzrcVd5MuczXkeRxDHpGgl03MFry3TR+Cg7RmH9bPPSt0Vv32kjL9LkKnQsBRVuA/keQHi+wx1ZmA9ShhfQBmgtbE/ltXinBKsLV/lkzdgEOfaKDcCqU3ZfeejHlcgTYH1h3KQn3CO/Yn8eeVQR6D2f8EVpPWgfw4WHvgafqDBNkvL2gGWeVF79FVHyRv3/dGE7mWzyoOTZ8XdkbmpEPeJGQx42POe+6XHeppz1YSmNoX/QGc6pSa/pKA66DFooqpK9UyB93UK0SW0tyn1tyuArQDjrbnTL33scMacXNWtuRBuGEIubxP/JQmt4bJFcbI3H2yQIMBlk9Xs/9eB/qV5tue2Dw3tUI56FnioEdaEJ9G6gdHOkp7W5PCv2U0SUxPsreGBS0GvLfdnILQ9D6MIC+XplY/Zws6WjJIOUbMUjvA91dlznPCBDI+qkAH/fZ/4C6/CQq8NeALHXRyMj1xhq8ld7JFxklv9izf78WH9NUwb01hvnBINsrZrMC97Mye0Dksn2eEg5ypKXX3TyUW3sTykUbzXVmc544yYxykITbOkbdyTBKq2z1jhNfA5ctxqoRu3zoFxipZqt39ee4w8BAdCOB9Ji4xW1hjWa9ybIdz2D4qw0WYPp1FG4CGCrlNdBPri7RML8LeU45yz4WvAU9CCnka/s0zHTHoUv/NNwrKZS8ifVTO4ta0Daq+PQF/sEA7j8A5UJ5v99T+ck/mXgL392nX/rAOfxxW44ejPGxrDUC9MIfLg907MNeMOLMPXNbPRx5wrd+x8UNC9Kx6pXF+32SFwqZX3im8LvUo1+Ovt1lpp/HV9Ia85/28b8bpg4nMEbR5UqYyFW3n1JYL7pGVsomYfjwwbrAm0FzCGj/a/zy4vgFfaO1Mjownzl5bV6LpygCjlOmhZ5HPk9CeKK63Zug9FtqMmP2pCCekJ+b8ZmN6XpBw+uTR3Tub3uHAS6S5Ex8+b8ZPTRT4vQ8QGB4KubKEHOrIAH0zU984zCdi+hKB3mCW5zMX9Jzozd5DjoNWYwff6yJ1z6DXarfcHNb0cVybpUYaFCpoVO1fVJduDm75UPE/X0cJyto6FdOBh57xrJTS8qKUJT+gXfcQn0kVSc2C9igh/9ei3JyQvpRd4gsGzzbI4dz1DyxC4CZLd3Rkr9zMO3Pg+IIw01eOW//uIW4ytnlmwDVPIWF1v78B3/yRbFtwXbpV8NcxNXsk/nIrF7Vyt70x/ndlMY6biHe1aKfUVp80JNfa7W0a8yth1gsDL6ydOYE1b9EOvff0JhYmT9Zjh7Hni7sTljHiylUr8Is+BSwGHtMDz5Z5mMSmr7UayV5Q7aZ9YuUFX8uht5Q17Xnw9bt/iK2t2wCXqzqfZKAFuFDuP9wYkyPkOR/Wh8eiqcpjPwacEHiwaTP6DtlthWDkpQZ8LAeNMN+bnnWfTEwC9JJMHcQqjWxzmyazyHzuZQJ86XZwtroOvQW0+fuMYyBCuwxdvTPFLR0wrCze5YEvcsYXMSjQSgQ0j08pxSA90wWPiJwvcw9xLarhuZreBL/nY11rehCbWupNqXVRUfnRRKTk3btXi+mBkFAgEX0e7ZfTbjuXlN2AB90kfFfl4BDmaMTG7yv2KbdaG3AkPA8yVZacRDiDTsc24/jBYX5wED7zkQxceIh3xAYt+sMj+Y5Du7xsNfCgjAY6At1rcGcAPM6bPnmURftTUj9UAQ5Vh1keSF51kFMilZ41e5XGcUJsb3n39yYp/zzracVF40izX+z8AfzXR+O1/q/uK0ysFDAy7RTk+aurgCcr3g51v/ycxfQNfKc7UTTWVtJWbM7r3baoLXjmyPTDmVhj7ukNyQ0z+wljgXKhE2Z8aH/9SBNE+n+eM5dTBHyTtmbnA56f32raP4Dvr+YuBR5weXT1nb6236lluw0jsxj5Ny1++1h55s4G8KQ4G8kuFV5r7vmKARX1f/fsKaxdBCjtv/NyZWdW3nsR6MVD1oMGZsBjKR6q3h4bwLqKEQ1460CO2FXCbnkIWBWlaw4a/kzLVy7mF+CVJA5mdGwBc6QGzExw6OFm+AO8XP3vDsLMmrgdYfwq09erGnGVCvup6H6l4QQachuQ4c+ajpCEQJfmbDsxYS+EqRHiO8jDcIMtZJG1tSF/7JrQozjcFo3m8bn3judeFcZ7+b2nV+bbsuSElMD58w4V2eX+xMIrTS+IElZEFbcPbmPj2dpDruzSws/rcGlzV514gUMeoUvd+SNwoJV2JCOUAE9HnRpmc/KxBxx4aweY5/bQIFlmGl+5Vgtms+BiG9ZDcwMdvyOstGCdJ8bHmhXoo4TM1kTqQXnb5cj0gWv7c0QIAbzCseqZlicSAY8tjIc+OsAzvnE+Z2P7VFG7h1w+cuqneORjjpLwYG0j0I0u7TGXkQ4gHxV4bW8sbJ54VBVoHcF6+0bGvy4t/Ecd6gxy8lIFnMMYhUbDqVCbOxT/7gYyp5Wm30Gp01vWmboebZWAo4B9MN8ooo5uz2LZmbwOmqmiXeum2geuARjFJ1PHggQCtIlRxYTxNZYW5B9HxJgq6wn5Vr7Plze5VkUm7FstZo84hAGP3MtiSkQ/gZbFTwKfDzndVLMbjTilMTb3lg80wAQXKuMC+DDjTxxfN7CeqlyY/RF0bHo8ZUy35P/6E5mzzZhbd68xPZfd8Mm5Skore1XhfAIdeVEBcKPY9CDvncoJQXeiQypSK+OqoHHriKJ1QGuYHPykKInPKCkxRZOMNhtGfWbOwN51ermWR8rJit1+ORrs7N5eYd5PM6IjD9gDu9NVFVPAVgR6busRF30bf/5T4ffcUqwWC3DnaaxBEcCzA5Z4B9n3NoH1ytD/ec/CM0B+5ebu0w7Wwh44jVcbH70QE4gVs5d+gJzyCbppPEcQt6jf0GGC/OitpSt3wH0h/pPl4NxNj/rwaC2kcnV1sKeqMTUzw//FBqbMrWMf1zp70Chz01WWMuhtLL425n4XjrUDXKVoOnWqClj3bujJYd7lr7kVwBkrfrXz1deg12IWqQPkas06coVs+8z6GfQue58Tlb91RM6UcOe6kcAtlPZP1Nxxi9sccLxTHCVmr4QOyi1tv1MR6evLHHOnWU1d6yn0Om7BsyDQuwOhpdUAf/37IK6+1oI9ZMjfdSmfedBsqKla7mfTUzlkodnjzB7AAzLgX2tqN5sa3r2yjJ8QB0WbfOfA4aTpJQAqsRKwbgrgkQXugKM6R5f0MA5HHnkfsN6M9/m7zsFRYwtZVZ/S9euWU/5dMomldbeJu7cgZhEPyPFooV1pfT0BHxA1dYaRwsYT/SxsVNtTQGM0M2aXaWgXjDOXB6Xpm7k3vVrY+r5fOb8ObuqcucrPwtMy4lk+LDtQbM/UNh7zC1BPiYHPfcqVXBvaahnwH1gBHLi4pK/5Ow8nlvV4Vj0MR6zmc2A8HnSbU9lmlh7z/zu7WcWw9eoIPRqOQafenXJoj8yV3TlGRxbwqORJfw7nB+/nCn79+khDzK7UslwlkqF2EnNe5yq0t6vQPoC+nZgtmYxb/2BzTl3/vd87Nuz+Ej1koCDpIL89GjeJhL7ehJbE+J2dInXPBg5fMqfVytbzgEFblrczSAXgMI4y/VZsnZU6+VGAy8BQRNMlKBXozvrFOxfTW5t/nPsQckHrAK8JgckdzwXhDUXAlTnm0dSVxotWGL8vNeed3+fFdE0RaNeCC8gdj9oFBijmtg5510Ttplp9AXjip2Gb1AUD/vivl4RnPBtM/7A07p/ysv3OLW9fdTjFq7rIcaLpa/vCK+hm1qaVnSBYu6b+d2SUtMD9fNOXoTJ7ooOUYvfH5pc/m2yF3Gt6dNuEAb/733vdF9m1SbPimQbw3ho/qjDJzmFyB/2Im7h8HO0JVlJS0lA6wJ3T4+rTE01dzO6QP5KK9HZr/MFSoZbKuq41PC/XX6ZP00O+tsYv4P/vQ5cBO3+eUIJzBLjUNbeyv9qil9lZA+YLyI6ONxycJTyu8nG+bCdQ0Q9TTw35eCnzmZD46hCrRXXYimbEU218m3v7ARybsKh5a4cdCeQOr7gUTLo8TtKM4wA42Y9i+1fqJOMZtFFl6ahxpofU5Lum+JtaZg6TgqHpVOuJ0YIsgIWlCGULGOnL4muDA7U7x/LG/p3d3BfQLq25xwB5mUjAaD7yH1Yku3MkY+qQi8n3tdjOTfG1ZNRHuFdtbi2PfNAPonmYsesTcN3POc8gz7l5lOxOQftJBQ5LSz9LWNvvfWzs6iUrUAufdwQcyirxZ6GrIuoyp8D7Pglg3zncmv6vD3PuKnd/zPvltMtML24vj/hTxlcP9C/Mz7yqzvebwm+rld8qjTuh1fus7ZvCmoJ86FdWvxCLX4FnxPBOvTS9xACTQU+5kDO56YfABHdUIUdqtW056jhfUWD2Y0VB1nTwbElDlyOMCJummiYFtjMH2MF7f35poiXAPZ+JWG6ZC5InbjH8eQiYPbEOfR5cXZYC3fJwRrmjWtBajFOzh5YAw0Kbc2hZIpquUpeQ1+bxHLMltZOhCny31v41BUR/1wRmgG0n8efRwFzWY7MBzUxSyNVYy0II7+No+0tDS0+9ZoeNfy1gZRbktyWFbzrt/mzqyHrJsC2YuT+r0cKH5aHG8sY6NYOKcPn49b4PG2JLHYDjdnyVr3Pne02cbk5Ub2ANptj2q3PHP+hl259oW9QDL2XR7jifhPEXr4ukqlxSNJQk2AVsZnZ1cP1E0dbUDEa/5xKj/L89WPi5ZMB7GfFP6O/mAIhGApyqUQ6lA3EEz5XS0paonXLTsxcBRhg/Gv3lNJY257hxagGX76RrTjPMDTwmZECcJcp/777+8zPfsIEMmPuh6UNwDj0Ga/izAb5B9NfjHEr4/R4wrnfY4Ake/bEObttlgJdsmPZs3Hug7SIafS1Hp39JIQehTQ9f0PQaAxfKfjnGe8+cur0nA2w8MYjU+rOKk33KsMsoplk+b2oYl7QHzj2isgrJnuzugN2JBt1EU7b94bEf0dgfqkHTU6CvPFpc+MxbuaK86kEzWv/mK8h6ZZMhfFGqUWZhklmISxt3ZPAePGojOioP98lnrUlKbPRMGYJxvz/42sra4Qc+TCW1p9T0sq0ju0tFa0srOdUwF2kPuOrqf16mZW9LxZMPZsNYuPh4ijWEOPBXiyzA/a9HG4WgTxJV+GO9QqwarSq8V3PZ7ut8vrDYnJXNR+miGbQShWc1HSGqE5t5vfvzbFj75tivnHmXUqMh7ZeucXSXsfkhLXgvIYED2U/giUHZk4qGy1P2mVdxdGKXOQFtusB7ERzjH4jLg5k3SHkZ5Ni4FBDvQnXwdw7cwv/TX3fDep4HU4PhSON9GICGD0qLoDQENQf6Jed7OxNtpJj8rAokcxu9jtbmBfk0SvN5ADzc4Nj041CXBpEYcvI3XfU3UB3j3Tjkun2v5TvQ+y4d1FLH6jtnv36YK41Ap1jzjmlTl6xmeOeo6qcD7a+/XsK4/wPr9a97eG1/gCuF7D+/wytFf7089GY64B/QHrJyNKT36frG+dpVk2IzwkM7QizgM/qvDziMrUedeZfZigHXGBTF/dn4DnegGft2YqOpBZdT+vrz5PGXW+fw/aY7WDGl5DVXJ8GBl9ivapje5+b7w4qmM+VShUtwiuWKrfsGYhUBR/9UgZZZzyfZ61eF8K2K7LV2NQa+Fv6eVw6WrXhvNZYEvda6VTGNJ85PkJu1pOqD0jajxduz+v7Khh7i7c9LDDbo4NmD7yNmjwHWYiVCL2SoJcRJIJebthiQixkKqxD5vPPD2rlvjP/aWcymX+0dtC4njn1iK6QHpsM0KtfUst+1ImX2moE3YcghLT4VSagieTnzdlbi6wbxcJK2Ao0/7VPQNpC7mRhxkNIEuBNxSkMEhxbUfuimEGVilIBPS0Bc0Em9/VIU+Ju+vuu+bmcN+r3IbNGFSy4sJwNWAmtgxV25NBDruZB3JpDpqSIy5u2zXqPGxhE1tZe0LdP+uqnY3Uk5N3eIMR3RnUMOyKnSlKmdtPU7L4d5Bxz7MjPIgQNx2lfT29fK8nIVLR8snjpim/6w24MYk0cTcvfEEMt74PMFMr2tTpglaSNsg0ffpPfMnZN9yUmvQIeZO4N1+M9/Y9eYnvf2tHLLniEWtVpJQILwCfqfpZ2Mq46UwG85BT2cdyg+mTqr13zLbISqcCqUjXJWkIIi5QOvhjhsSWmrT87aA+h64NTbt648pkLbjOEFsCUBTUmPbuurmK2VUHshEp5p060nAU2QPChPhqaT10YA++pxeXAV6H5sN7u5qxzvAfNxO0W2V1K9k+veIuPXsxmW9znRtXaM1vJRpfdrNU4fPCIVt+UPjI8sHWY1Q9KTQpFz1CzMaSclnk5u7R/nAjRSCHy1vz/PhU9Ul1zwmFxPHJd5jKOUtwLn9xu3//Uag9zAKxxLJIpsxY4tOeUCNBs65X9e1CZ+3s9zztRP5k7Hpt/csGU5aUd02tsp7tC3ckon7/SEh4SpX69a6/W//cRQDcAFqHrfG32emPXf/ePYcE/pVAH2AUDTk/FLtZOXtHgO/BQ0WRsrBtojXHak0D11UGjOAQ7W09QGnk7Blw2fbeexHA7ul1MW/ot0IcTnP1/iAfJJfnT5Q5k7dyMiokDflds8gY+RUk9XUvhDGqPeeNvkiD3LobRSkyvdtjTvAfr9M0fEwkELHP3vRiLMiPFpd83Z/R14o//OXyNmT8i9qG/C3k2DNmrYtlPDElaizWXELDosP3WXiFMkD8pq90dnOx2dZD24k3uw/tyU2+5hHDc5gBTudZKxcK2tP08Vth+lxW3QVW9+mOYDWUz/gjPyIf/sn6YnfdoTu6bA7UbgJh3SGHRIxfR/Xs6/vWnRp0JyrBkecxQaD85QWvpInUlCbs0qnaSg8RcaqrX5119v/j3HExGqRJTI2k32zSqDqpOS8CnOzdlar9zSQTcSS15TUogRyWb48mpuao1IWIf2jmvgxQW6ZTy5gab9Bub7UMzrzFquuuTtIemZPi5peF0AL1kt5hWvfvnbs8nZimxQbcOnpLZBezibzYmTY4PUA3KkhSPvIaM2Bg7iEbt9Yofd6rF08cCdpmMezPNYrv1T0H9nbV7KQFvqBHJ8O0JuuGOkPOCsZUUhhXXa1B08KxflotcbiAmLxOVNhijGgvyw6MuG/JQRQSq5yisJ50JG2xWLHtZL+8wLfDe+4f/2AcKvVzWytabaUsNUEZqUbLDnbFhMP94fEmduFRPgUdnK4i+rstvPerw+WNAa337E2UzO+QyL0vRLmWTN5sDEJay/sMkh73fJ+1xvX1G5loW81m6LzubsSmxv7Hcf9ulW+ZxnvbyqaHvFg8ck5HTptEiGlkcc41XbHmB+LLaqB7GSH7MXDeRtLAfLgZzuSeTjevjnqZuyCPRM117OSMmDM3dll2SnUJ/YkJRVNHcpBe0S8o16bZ1zwDZNwV+mby/Pt/kpal2lJWgg/s1WCTiWWJXbQi7YXhk8Y2m3cQm4+N4jyqMlVyvyKwcXLOhh/qwXMf3D2Bc82/RIO3yRlgdcRUnB2qt0+k3d/V2JQ7zGsdNqkKIWMIe2Bh7WXkqeXM39LsJQVVtoz9nbF2umOU8eKkq9jGsJWh70tN6lkSYcOKaybCsbksrsSzWQ40rBOww4Bvh7g/yUA8cJFfWP2DIY3dxER2Qaek9uJyKFOZPA9wX6et8bFXW4tQRja0oJbkIZ0J5/ntjSVS4+ScA4yrwNR8g+UVPHLXU9XJ8p4gMu1BOLRMv+z8Z4buUidEteboAW8HIwd3G9vHbLB7znO1c+ToDOiiq71KB3+r3FnWSTsWUCbPVF3M5V/PeRs68naKYCtLskIc9EpHdNuI0gM5h9or10CGW9OlbhHFWWzWqmgaPbC9aYlcXfdxw+U554zJ5EaWpvhyVoeOLgQN/Swo9g3V+Exk+A6lfTKV/085P1s2CmdzFqfTKouebThYhkV4cbL3P1PhvaYxP4IzV1nRaOiYPf+4dZyaeShfYjFVe3dqZOxIowMUccmZ7E5MBXtZxD9qS6FaApToyrg7L9UxPNLh9Cr0LIahg2tV83NhhvWT2QviX8Mls5w6Vy0JuL3uui3OB8i/nQ/qhIZzTaP/Loy8W0HRnVjghA04bAozrmmJqyis0DcCF8fG3NLLuwVifeSeA7clcDr5EFCStX+dz4igTcV8h/nxNFROxfJ2NjPvobbJGed3vj576orrXPxWQ8zlr6/5j61iZFde3vr8RFusaXgxIQJTYhF8g7INQgBKSVVuTTPyu9j/1/6tSus2fPTItk5XdJ1oWnbjOqI2BFmbqAT12yaTgeU9NTsicsA41XQ5TgPdmJUDrJCN5x398SYbcZQu9+ehs5/Ful4HMVFI9qaIPktY3B+7tn0/c01+1ZYBs45URMj4CcvTDgBBbcOouJZj23IW4zwn9qEhJpzQk1GWb5YZFi8pKIJGKP3v0PW+7Mz6P9v7pPmsBb0axEGhTeNAlha2Zmxu7Vt5nNYrip0Lg/7/EMjhx0lbzCmmyy8M8KmIn45X4r+eFxzvGJBdui7vxTxn/PAQB1+9sZmRqQbc9z2Z0sktdam/shOxvRobTJjPdxcebIK7vaBSx7HO1/r8LahmqYP0EDgSPtb7B+AWjd/riqW2nDCurrCpgSJo73Pp8vCQM/5qjX0T5Y0kKy0GbODE6I62/APwvQ3PjM8Bm02BfnvqdWfK8d7wXe7lsy4EmEFsnNjIXnUoWgW7kiwNt7k88JejkX+jcPNjWV85XGrYj6NQuVa3pJS6afKRhD0kEsmp5bvSzAw/mJi8bCUteS8lPTJ0/O+ZF26Mg4P2Vo8nHOn4rhj6yfSAnx3xhdKZZ3T4xTzRGGmP40vXAS59+tYYWrnJaWgeSZMH6ZwP5DG6HNXMHDjQyoZM70nQTxqdGyrYc2BE+6Nr0dUa4vAl1vprddSQuvyFOXRr+5+qIys8mHluBhGo8uT5IAPUD73o9W4FHg72z1n1VP4M8kr0osEOfqpgQioBs3wFEBF+pSDXxIOv5V9e2MKVtTB7RLj1vWIwF+/Z3nENbBxHiQrLXp8by2K2Vbk0/Vi57HQliAF/hycsyeIwvsY0lC9V3l+EGH+Ttzlk29u2+4iwszO6Lgf20JWlxG/q4YgNHyf7fz/ndO1l6MtcPDfoV9umbMBg9rf9AAu7WLk5pKD3zQV+VgWpi6/dDkxm4c8OSr6NsrFvaFGE/rSCJASR+duKvCZXd0VML34GOAc8ydwBvnQaeStH+6hPpJFdoH7Oo0BT1wNHO+hf7pVXre+6fUJqcCCCaxtgNg887UBWXB9hM+1xVd8kj09dGM6HVa+bkcMayHn7KxuFHwzW+fkjJJm04d6w55oLeGk+kcOvqtCGZq5pxUGqWEga+itcdN4r113YBu3rN8mjmanIpZbsMVZY4MMPePJqcVd6lThpYtd9uUod/Y2JHAvlfhwQH9vxa92lRhK7mldj9zNsfWhufencG1gre7nex0U+3/vqR7fTWsv4FeKwD7fGahfWq+H4snFYAPsINnIryJ2bGJHfTWbBBbX7CfA4x8iwL2KA1fhP9zlD3NVKgZ2zriYpJkN19wKE+AXwi83Ofxpz+H+mQhMr3LvTPEe4PkGXTwpbCKp8krBp5cuPvLyx/1yifwdmXRT686xPsS1RvM9ICDlpQWPlH4N/DSBLQecBEoFeRLhdQqkH8BffZBTf6S4ZsV8XMAPM6muIm0L/eHVTp8bgb8xg1fspgCRpo6hVOlJw76dy+t9iOFt1319mJmNwK3nMz9NunnoOLwDlmbYasFzPcQ+GVteszQnggRTox08YgDwDRWgCafYqx/56jea7ulSdieeHi3Ye9GckU/ehF8X5naxp9wafo0lznOytwXWe7fjF4VOnUygU6gt+nRUo8CVhQw2ynduAe8ZrWFzrW1dJRt3lrUN7PBKmsG3Q4ftfqPqj9smEhexGmvLFS7JpjOqd179DK7zMyX7sEjaLkjo7kjQnfwjaAfnq+jk27K8An6Ehyxbrujje6A/Sh93X/7tKejmdnqf5T7g+nHDToCAy4m7lls3GQ4PPmoCjkgk1fcSjNblKkjD+YHZaAq+VRKcycftH0xTJMETQoabCPZ9AHa+luxPzbO/rzPYHFhywm+83pc9YY53gSaFjzE9tUEuE+ceBGAk4lYIgwaDTjcSW0lmst9Ldy2pfrvo8mD/3prjgcXg3dTQn4CPp5hDWy5x5pF0/sdbrDJunVjR13uT5NfqDr0wibHXMsJ61ab2BZ7icGj5pj/+HQ/tWLj07HK9aHSoIXz642P/Y07/HBa8QM81UfSxbMSOM1C++2J8hrQQdkaZzvQR8Af4F9f9WBm9WoKGGR6L+RNXr9Ay8hkTB+M66C20RN8eWru2ACrrAy8IQs9rxDAfvqvbebupOLPclpJYHqb/u+zrBrVNxoqAXKek8AbQAUHBOEP5fYLcMvBdJtJdPvRDJZ3cu7PzJIBcOE5GyX4Rz/BDHVmdl+ycot2/hG7oBGsw6NE3K1f233Gtu+7tjNglKY9e0oLtLmDjsSyT1LzWXYtVw7BjdC02pveGtOBgqYAzM9hLxFztknGOAXlHRBt+ijz+9HWNg34TYZ6Q4LeLvriCZz19uaXTLd35sz7Zs/vZIX3ayPMLPBCoz8J3js4mC+VI9OUpRvwpBPwzRneVEsjFNcB4srGbTpsJfiVHeunSxJuvdJagmxAIfBaXoLXfHs9LGRCrZZnSJWZ1iPV/pWEaK7ZvIjRx+VQWyVLNmRYZCFMnXa9qQU/wPN+m/xM7mxnDhqlBn4kXWHqnPoKqURGgIXRtPDh/juzFXTdXAAm4qEGfpAzczFjIT9VbHs6h4WtxukCvmRsehWAv+A1n/bM2cZVH4PAt2k2eISYnrCD7RNLHUuxXMDj77itTlWOPkFzvv3XM9OBVY2YNb3Bwt6rh40D2nBXBjgpzPzGYOaA7S/QgE5tJ2Y/ZKYXg+ikRcNtdLJ12bDaJnv4vu7E0zU29Qj7umOmt0xuega9+Qs0gJnj9yDuT9+JVYXLykEDmn7HqYUeRUeuSfh8kihO6hC0+5A+QWdI0+8pMfU8ET6DT3hVl7sjcx9lAf5Ku1aC5v7JbRX89zxqV1kLBv3lmx65WMxd1Zt6wcDGofo52xIDP5xpuoI3T2GfMwHcTMe2BUSwMk5ow3sznfYjZR5KuBJViGQ1+s+S1yZHRlT8dxZtmFrAIUh/Mk2+yGvumTmPRsWTi/7Jc17QcAJ/o1qR86VweluOCBcWBw/lHes9ghj/41b5dcGrfpkabXPOd2aE1EjSDPkMeNn/xV6bEOCLDji+oGJOU+2fz+bOVrQI5/6h6PCxcuy7CLfhWdjFGfguC9t95U4F6OEr3asVeMaHfXY7OUpzcOTJiiyl2Y3s2VrDd/zfZ61mnljqyo8q55/HVYZpjsNm/PvErpkLobGZF1BpbXrtdA1QbzLAT+0XV1rkWIapg0G/sbX9IhZgfr/9TvrrC/RhmQTbNbH+rMXAf+8QRQS+ynjk1WgVb8/Z7FegYygjl5rjl+kLk/L+kelJnoOFJn1g1057x3tTcMhN/QR4zXg1/YHAmx9BU1KeT8Cr/Ma0TEn/62ET0IIrsQPTqyYjw/ZcubCuNroWDvgpjiFuFsoYd6nptUxBqwFOwv66GV8H+AL/qGc2xCQT2idsymAtXfAnSRPyQEEsMv2ebXq3YB99Y2sa6xWJGikf97L9mR/EQBuOhPKxTYlQpEQxB/9yI2LSmZhAxymrHrHJ/WnLAE1ymISycFiZvN7I76v83yYVBPRh/NZs1xpwhY/TvaEc8N1PT+u/jcn9oaH8JGwxHOPAz7jWPKZkIC/cXzfM0idT50z7egOMOBOmNyqfBronD9gb008ehOEcNv9wzltvVPZk+qbZ1Fo+aLh8Ucv0c9O64e1QOiqgtuZHZ3tKxfOJ2dWrzCyjFZ+rwV4kldrMfCJr8Whou9YQMeA/fSL+bM7gD8ou+bmbe3uikuLk6B4ehAMODd7r5BQL7PkA3tmN9dw3vVgEj1Mu0IsLLyxDXIAuCVKnJfXau6YfL4vgs8w8W9aafn05seJHQcny0yeLLe8czqOZw4XHHjQDjmgAqDnqezqopHKvtyqC/8r4DXPiGQwBfhtOLvqWY7s0sB6yb7Xsya4xd7LRP9hf9hfw51zm8S6lElCjhT+v3jV0dzYcrEyrpxTTlQ5eBPztJlbvYapeoIX+m8EbLIcs3AD+xi4XoBqRdk1tr0KHDdlt93WkyqPFoyL3dRK0D7yXXRIEntTTFbDit1cVAb5l8G4KBz/rnmTp2j+zToZFHovM1gFgZ1EN5iyFL9hOn2fuB8qyfenyHoftnXA08Dy5wX4ai46HQvB75cx2tec2sVtfue27d8Stcv6AX4ytMvyzSTg3d5t+qU0/++XFevBA/WL8piY9BvcZ86pXQgR8kbArCSVJPcQWfO8H6NjvwkZT6RAHvMQFfDxoZfSVdOhdnyLIwBfwWuBDAcP75cX19Gqyu1eH9g248IZ79aopsWrLu9Vu8FKWF5Hw+YD4Bj9FwK9j0IlXLwO9yDUzNV0J+ByrNL0QhDKzkt+8/AH6JMaB6emB7mAbKXDJBa9qc3S8TxW2dgJ+29yPVWK20k7vFTfTrYAg96mdIZIC7jMSbp9JpNyGqSHjvuDOnyemsQf841f/128Z1sSXZn4keJmAhnfX5BuAdwDpqV1w15Pk8sWtgwXrAl5XixSAC/h2rbgeju6UqUjBb7UYh88NX1sPo8I2tcKSx145XD1iv+dkgdfu4kvDpQ+cllI2n1Ox/Wh6ZsuOn82crCRqzzyMoyQiGDzrmgyJXTg8JjkWJbMLYNGDiRXQnuYs+ivL5hT2ujB5DpJPsuj5u9f98+jqC+DNkvWyhH34XTJMiNiGhBcbglBaD/YIetHGvcczU//aS7sQ8zUbJ1o4s0/GftMwvsL+gyj8X53OCGo+8o8GN00f/P99Fkkcvs9cFVMbnnBIvHOAHhXn8N35UsH3o1wl2PI2iQXvmcdH7tgotbyORnKp9eEJ+9j/+V5s9mo3Bh5vXdj1q8wLSwrJsv+vrq2M+L0U/UYFwEPhNq5t31L7HmK4d8E/DdLM16MayUB5wFex4v9WwJ9PTkkJWF8CDnci4k6m2QYwVYLWJ2XASWrSDiJTt/nudX93WQ6aL1xyM38sc+JPgE634qaPnuK1WAjos76OkK6G1jtn9w231IkEcwwYfKPDYp+c7Y5bVzddsaaCX06revCQX6qOb0rwLaAn39hbpgJ/p86E4DlFYuZpRxpwRZpZZSMV/xaFUFAHwQ000r0EvUlHLrgFbxS1cenIhQhtcr7HJLSnylV9xgtLBDgqOh9Jxz7z/td/XYtB2SXb3tPL/Jk4/xYO+pY408g7iPVRf55D+yoC4KNAMwUrAX8OgZ6fCh5PylZxs5dpPWq7QSpWbrrhYe0eXeWVNj+W7uGWujr/5S/37wJsBkrtuqR9vIBuWNgweZW512SerAX6BAxZAQO6dNR+krcpOOKlDNUt7cgn7AXOBLEza5krazvUw/YKWoyWVnwsxsNGgf9937XVq7omnQIdkIA/vj8rYWuICdBSMmXB9hN0z0J1+wVeogMZmuJ+2/K90e3boezj6zmHfRlugKvwN/DnLs0nB1tbXmvykbAZpTz4zXOA/fWhtP8F+8otAymlOffdg7PtUMwicmUuEtXYmnYpl7RTlAYxrV1/VFHrVEO/gp8D75/cKNcl6MgXcOeNOv3tTPUuy02u628/vbbWoB/Xg/k9eXIPnhzjweRElaMfVQP6wl29nrm+MUpACuMsZfhnvhiJTL6rT5ve/qC0X6vxap9ef1w+GNcS5ydnGURU3JqOvPOx4T0hH3zSRxPEieqStXT9QCL/UOcoq/ODzQPswvc7qcAusxXeZ64HzMFjjMWGufD3OplUjh7Pu/kztUA3hbEEzjJ18ZkS08CYOr01W2UFr4bhjrkc4gT7NexbtbaWWjVq2MZNjJ64bD8qO/44C62zUEvAHdNf5UrBhxbWkoiuDTk3vJjeyn7GZ+R/ZhrFNIqvsBpv7J1N/+dKS6JsWR5XcHP9/KSrngBHvcyBmOuliztl+h57EMv2/3r6PYCv8syO+2S3vWSWNrVxptbTxi7sZ7ew0pHMzSCn5HdG4dwB9mwEQvfUDjzQtUvdqdPR1CB2GlWWF5v7q6zjnGrumHuJSvs5da43RZMXs9WinC3EtTT50COlfy1mbTakM3NHZ07Av0nndybXSVDcJzZ6mFoq8TNTES0V4kfAbVEH+iuDWAP9X1Ib+01P4mxYcOkmS5X/9BILUgq6mPpWufpYOfOXQtgVwBfw/2Pm+jH5v15VhQy2bh0C7+4RbKiFAg7cpdjeqTlPBc+YcPJgrkqyDr2q7h/oAnyD91ww2OfcBZawpLmTv1EX0dRkgoOGh72Ba2uZjqaPYv+epQ6+E5l5s1vwuSg3ffoSq20TjboCwkBaJjsA96CdioTZDPSMR8UUp9Y/8LS1zSx8yHo7zBCGeLP9pPdK0+esGsA9B9ux7k2fEfz2lXHBIS73oFkdz+PAhaCzTA+2kDHdpdw/ZJT3pgdGFrAbaG/Yy/dFmvyikLkFPDfN5V2NOEhd4lY2F0eHywr4sQzjGTDmpz/fu45DiXhWrP1qAj2SqNU0ao9EtE9pTxGz+Ivb/lfCtJvqaa2j9vAzc4Pi3JxPQby4FcPXDDQcNfntzvyqXJ4mlgIvZz9h3X9mZvzve03g2z/AW3SlHSyKxl3t8B6eO24CXtT7+Avv4/M55BRU7aY2E08clJWmy0Dfu2qVCc1JAJpgJk77KPpkBU2ckMt2p4Jkw3vwdEi/7wLM53ZZh6ejNUXwc74yGqfFaz6kVtwWAp5tmMD/4BD83LXWKDwz01tRcyx4mgoFuJGs8L0sipJNE3gf3MK4HPkBr/4gtfpQ9u89bM6G9NkMy8gCzVMbcAqp0NQrA/74GZM2i6StsvlbDmQqnM2m5KBX2B38REupWEQ6ItfMu2MWaQX96V9EmFCgd9XH0UJR7b77mEHshjHsmQD8Apb1qCQDP3O09Z3s1St7zTsulpgLGTZhfASltKvNPZmOeW1mkXFt19YUV/t25iseWdeDUuJTzdG+iloPvOYO9+y3XyWnf21pPBHyhRzVnowqATz9LrUKuIuzem/mEBKZ2XgGfx7W4F/oSESG0EoDJElvbypQTMA9GethH4r5m4jli7n+uWHopvRv/sYuZSonl9kH7ROb+Ri12EqZo6k2OZxMJk0QWCKcgU/bQxNMiATTJgmmvGJtTvZmtpXPwatKGnghH/sH6WeBuQJu+Mnt6oRA7zupLHE2gElxh4Xp99aCZ/zjJNn2uxFP92TZjojkgdgSl0hdDC83HB2Vha7nsHUAJ8N6NbdnXBb2vxW7Worgbpu+LBi095ma3ivyHRsdG3XBX3f7LGaH2vJQgZ44rn6W9WiXuuhieL0ZJ3MWBfqxXoB/0pODT6q3Te9hiCHuwL8nP/Nr87/L0TVanK0J//uohvl2zra/87+OwAGmF0Pd1Rsx6BU26IDXGJ5Wd5nljZWjfNPPOrV1WGlAVD7dCTI1WuBnV/xhzp8a5Juc6Y+k3x7KDp0Uly74Gl6OtZNZ2zcvd2pgHvA/Orn4QUd0A+3qNsj0+f7zJKjd0bEAzOQtBy2COx1ia0l/ej8jBHqApya/h1D8AZp5UFo7wF9DNfrgx+KxEPWD7bblW9uY/qB0Vek5kju2b79lSIbisk1kLj9LM8uuA0/XS5+u/JLAvi0sD1BPx4A/N2JtQ+BaiF9yFXkL3I5nIfSZO8mqqIoxw3Mdqnduasut7c1ktYuxXXEOmt1Bl1r0Lt8jzdlySrOtwxFK6t22S9zDyl0J/i6eMuDUOuK3Oo8X8O/PakVpwooV3neu7Mk2tQFSJI+TtXnfcXwrDtpaq4PQyAFOWWrqP6rdDL7A9I30Q0FJR20O3rP9FLReT878WXG2gga8APYR1nsm3/5LdoAbfUzN3U/Blhsz84XAQzQ5eu+vG2FxkQzbO2AtZwihk8OPGej5OvdZkx+8EviFj3Ekgxa8HTCWOfNA7V6YOSSBea+tw3L9WfZLKIUS2ZBapZhND/BPMxsd9MXbO0yKYth/8dP0cYa1vUhTv9vFMRHIrzv/WGVbLPLDhvAWncDxQfz0mPsRYKoDXHYTfWtVLgrrAOOMyjnL0RmPZEjHWGcr9iBy3zrq+HOO4XgXGbVLsoKmGWVBGXLJ3v9gectE78VZD+9w8HhhTml++ujLr8SsK3jQdKifsD+slBGdBTPOhu0lzdObdNCogjkQVL/7EbkYNNDRWq5KwFpTkhFTd6p1mATqDB7xkgT1crTrB2iYXg3kdKb+MdWgMJDcNcBXZT99mrMnMdiAW9ukybWrorj86fEunmb+4fucbZM6SNbhfIPnhmjEVxzA2+nkVAttg287p8P23IAfbEwuIpNTE2KncOWltlUBfLSCXn6atUyo3zNESLLXKdnzu3LaG6wLk8Hv3CWJB9Wa/q7SAo0xxJysiUPc2kq7xBKwr8Dj7c5sWc58SkT0d2O61wJOSM71AkH4EqHuuNGGEbko3to0nAEj1ZDZ0+to1aDR+DsO/+tVaJkuFj+5jOa83/QOfpU5+EabXAnTV5OTi0ObN0x913uiCze+AZrAd9FH0vcesdQCupdTeO7U9fcp6OCE44uIfB+z+V0zsuGgP9KfmiS0SfYSeHVyuZkDIZZZ5NoG/Pww/caO1nYHuiMFzZZVq99jClwVtJQLYNVAurJTRFzua6LlF2D2UHFdpKPqyP/NAC1VBFp5WI6gWlzG0AGwrssiTaWl/qsjBf5rkLwKrk6p5gkN8F3uSUCG7UuNfAKdn3DRHtL+z00ObW9yZDPxzzH6X9r8M9v9eev5Aw1Bs+byise/D8CdGPf8VFp3mw68ALwbj6/7BnxLRIKDAxh4KscJngGd6/XwKJza9FadmPV08NjbFecrGZEA/UPoEN8q/RcwxP5fHeL9YfrYAY8WoEV61bcXESYerMsH6acT67CtOu2IYTLnynfaJ06WY0b59SZGiY/O8hSIH1KO74zHgdIK1gxzGhRP0KKnOuAs5e/ZOvNNOdOTCZOfG38UbAsaoliIO4EXSGHPbsGvqi/g92eZ3Zcy0Ec2zDmxwL/vmVtRiL1I9sBlgMMkonm9lBczq+Gfg3vAyrF1iu63fy9gK4pKsDygU0PAuAU8m1sFMigA5UG/tDyKSeESi1qoq/fyO2PISXWwwO/PSSDP2di/4DP9ksYLpv6mHgDzXPj7g1pEj8AHvONw5nL9a4E+SgrgOJ7z78r1w6MjgzS7r01n6qXZBrgbfFmcwrtMsyguqPV81WZmi1YZi3ibCeU3XftZoemErRnWr10ywDj4+0/a/eaLvmrXzBGv1yxqN+BxN8Tk/Y2yO0dqoWFMzxEXfJw4XQmu3PaiKMmz4LrUnA+FjUsiYnPWLJLQvjGhXSk8Vu/xN3B9X8Bzp+LPb09d+JkfckV24sRO8tp+ZhR+3SFwkhOvNLEySkhl2Z/mHh4H6EHZH3iu5NEM3pLYsoXYWYwWr6nJJQQ952weph+MydNPOgwmTb7rRl3TGxJ8nqVyLjlEQtXFHPbVs0G650N7BE37ZWq14JW9eK5M/QKv3XaD99xLzZm95nmx4nMDvJrl/qHqkifhV8BSPhPYxeCp3jU+DutIXA/FCzNlZvqO5fBnybp2ERq7iQC/L5aLuV9UjqmN0y5HPugZO2U54NRKnEqoLO2vaykKSw7yosZpZI6nT7AHyXrYVCF/eyJS9poSRvrC0nMtyEwH4wc9VowIvBnKAP9vgOkfRafa7LW9SPbHoaHaF7l/JZaX1c5yq9f4qwyIn2gMy8QlQWjmozpRrfvE4m/+8vnoH0lucvG3YCQQIlb8rIGpUlDCpfZvytQguwq0cYvPnIvUVLSH7Z4BVmWMT8Cr8IxTnw32aOa9COHBvoPA1qRP2bwHTtr9ahshMxkA7sDWY640/dfvLMQreE3wK4SmNnLB399ri3dUk4cyORyW3bMBF9wBxEXK9NrVDVIfmMW8YDpmDrxzC+9UttUsJL/zRkGG+nRYQCub3skYFdl8A9x6wjotTMtXExzWJG8Nluti8MpyeG6wjuOfPDQbSA3JLsk1CCP8JD/zVUw/uHlfj4GlTP25tfntsSACzUra5hmP95nWd9BtsA7Fhlnok0eTNvVmZJw63KEefOI3Y94surgHTBK1GVTNuFdxZGaS/3CzQG320y8Hpc8z8j2uUfG7l2GdQLtslM0hwNCYsvjIeh5yESMOvhY83llZc1ai5KVc2WYhds19JaOqaHo+g15cMucnD2AiSN1V4JF6jGeImT1H8l6tv/WwJWjiCPRDBlqmZcN0I9pfICYswH7Q0svP3VrFrjepry8+LFcR1bfmsv2AZ/5vrnGojcsVoq9fmYUcM++KmrymXBeMtwlourc33xMu4R3ruLZ/Zjw74D0HbKl74iylmWGd6Bh8M0fEiZmibXGmbIXlP9RdcDPzz87hbOpTnslu/gR9MJRWYHq2puCjPhKrnWWwfecS2yK62lT888BDBKZ2PoHdmtB/dmVNJ+UcPAy4QHN+YLmPk8F+MEuZn+0Qkx+wttbPTOLgbrHdfa1BW2YCfyZrHBd23PIR3rmY3j0/DQfZte5vTdffsKkBzn1TX2TJvp3hXfgleBiVt1/JqnsapmuxJs8zI7TSqQ0v6GXmWkCMehjcNR0B73/26LyktvKSaBpA57/vsr+T1eDXwXiwndGPlZsA7iuPo/ohsu2mcrZdNiifgxYF5HuR0e+J+HMruB+QMLAzbfpk8YPpXXoOF9Nn1cOrltjG/slN4Pf993nUuRb2ZzryrBh64NL4pTrfKmz0STvwmKAtpNY3iKe+zPlHLTjsNxtwOAafSQRgcQ+a5wEacC/6+S6tua1CRRLRuhT+OziNI2DQOx9gkn28JEz9N+MwDzwRHTy2/rVPNsoA1y4ETRuBpr7Oiaxz5iSDbssILcngmX7OrLBsIh1lpuBkTZg+m0AtzOZWQdGJ9VtKnf63TyD8eRB98gDPHJv+Qg3nVtbJoDbzFQQ/mp5dhXNdZK7OJAgWwObPVPwDD843KcNd1csdaLey0Xqqev5dAL+d9wh8dvsp9/xAot+6gImEwAR9nPLAS6rLn6WkyVNZ900VIJPL8pVEEDf9tFTUD6hjJhK2B+zivgnas8mObaj/mYUeMPlfN+P9KnvbTXZbroT9LcYa9MtvTyef7hHsL5QnbPtiAbe57T9I+HTP0dWFuL+KvTqVNj5noHnNHI2TVXhV13ZSsFcT3le8Mu/kTqiwyOsctH0KBJeFB+A+4httW3TF+65NZ505DZkd3sVfJqfmtOq06djm5BbA4T3Ep/o67/9tTvZ15R26gyfJOPAuBr6tRu5QF+uyt0nKkoU7xEuYJ1jw9NQ+/gCfXYr+d/6yVsMkGtAYzR5NtWPy6jThbrCS15zKlQTNCDEFn3XOeXnODbZPtKZyl4SgkNlcnJmez8H8SPY4k473kQA/H+3JUd1/M/HO3O/fOTCF6eEQTR/psFjK8PjPfHmOQRN8Aj8XmRM/C2vBpudm4sK7pvxS69hNeoinoTe1FAl3ge/HfgVvrms7xspWPmi6fTMi0CDkPcdnKl0SZsNsasVX0F0Qv8CpCF//44i/3smOr0yTs3TbF5BdICMODj0mZyRb8A/7hpIVYpLWAxHgQ/vKnjrQCDJx7Edy+ePgy/adi2VmFe0ZW1oacs/07Sry9sIEzsvOv7Dx70uu0sajRiT491QB/qiC5VkOShJOHqBpn5xdFyXwk7k+N31bqhwnKWz2lLe9ZFNWs997c1Pneebggbil7+B0ztk+tkQor6ZvImEYNLJ6pD16wbrJ1JKPEjRxPdhpvTdzjPxnacUFZvZLUnwvh41b2vpaWtufOpkfjBH2uzfmBjQAZc4BvDdKmz1Py/HfWo7kW2jgJNNnnbFnqRUBz30RYwpxrnQW2iUO+RF8wqO0ZJdRPxW99w17e8f72AVvnzPwF2UwhRAP77ts0ILcBw25Yyv5hmf8MHNgFb8u2OWfZ9GOvLedwv7rgqfkeJAp6LMMfnaHQwZ+CoOr9j5MfRgFU6R6OVEup4rNZdYvu2KIPWqY73+ccnyBlupq8IS2XfbYSvY+BjzdCyZtohFwqennmzyzAd2SEJaJwZoyb60psIHVb1heuCb3O9OpmyEss3AbGq6nHXDhqjMKrP++r0ztdAWt49Zi/sgEPAfXpxR0PfAqhmf+6W/YcD9pmO2w6LpJohY0Dz9i0HRVwMfSVTMz9z/WBnwTGU0NCwm2gK2zrNl2Ag33Xi/w+XaeID2Bj3STwVrOebwh8OeIC5ojm10F/Ed6NAPjveC9fim2dVUev0ADn5mYP81ciEbHO27NcROB3hVtaOq6iT2ZjIefXNb3ZzURvjSm3iovbpzXnsqnUq1+J021kgs/f1Wnhm3HSrSvmsagFf++6q69pSuxYG1pFWrraBFzZ1j+nE9bLaxh/EERYPjeD9T6O5tAV7b/TTrMKgfvWDjtgN9Zkv9zRYDuTTYP2eBtzqg91HlMGjY/VE8SqeNEBvZQRhhXLHYLawrgHRRVv/0moRcIKjkD5gcdnNLX9n32BTqwdkTAuTlXyxi2ATvu3NoGqQvr2pkaSjT+1CPnbcB671ABV4MWu8hsO5VRvNZ7TVPaMhGoNOW1UwcTAs7Y1yEGpcHd5v96IINHxQOnxUOEfID9emzCSdfOtucB3qQ0/pQ/HLMBD2ePpu9a5WgpO30ucn009woV169U8KFetaljmNjwBO8Ge8/5Y2W9Zqk1vWuXbqWjC77H0xk2I8RQyPP2XFnzmo7oxZipG/3ph52aWV7EjQGbU6fIwSP8zEgmHydrS7iwLMD9ewkuETSzkwSHJ7WYBR5/n4nf2NjBPjb9rA8Zly4L5hG0k5uZeRycB4xLJpHJ8QsWGWwWwJYd/M2HEtarDNUn4NhA9tpnLiml6QnqbF6gFaJsaDGHvSyFmaG7ffePuoC21eB9+5N1tZqwjdKx9mTuU/AA38DLTI64P+dsA94OeHKOAVvBf8B6DMUGYgKeb+qScLaIxlMm6ifO5Xw2nc77wy11SA9c+65duuF9+1k59q1gvVs7zK4DXTShPBDmZVVPsiTSu2yPx8IFb7HiL0GVd7SWVA5/XIO3wPWDNP1egtgFPk1T42ND61mM+lOO1xU04xvnMeCnbWbMVyiw5Bh7jP51qpC5jJK+RnjhGutamzqOP69kbHM6Xr2ffPuuXfG+dhOLmJnSgnOpBVJ5ctneaxubGdrfKlQRdtC7d7ql2DwJdl9qZmalK4g51CY8vmcD3wC3Jar/yQF0Tq62KtjnCeO8DEERjoV9ZrDvzK4feCr3po4FC+CdXWPmQgqvFOzPs6bvue2mT11iUfDHzagXFcmOOhPJ4D82wRb/N1tJl7UTrzgneTO0mq/y+2htHmXY3mQ/W6afpOkhX4caZZctrS1JsoHk3C1s7Bwc2r/P2eYLt/454FUvCskhs7zU9A0swzipO/9eUnyGuDzg3ZYlex2k1F/r0BMqB+3MJGhE9ORWLJO+sETu5xmKl0poDnv4hDulaSdT0N3vzwId69l4+OdlFDPweBPQUMsjYh9XU/srO+nYAvjpQ75mQtaDhUHhcA0c1sV+qftnxdWX5HGe2agkg34kod4kluUQ9+BWLu9hHd9x+FH2KC4hFk+OnTLwxObuO+Otm0RoSoatldqg8/eSV+BKCiZZvf59URHvlAXfSWMCe8wG7M3At5j78IdydFpaKAIugfccIxqSdx3idxZsXhlgBXi0oOn1pkJyAi8/FODhIH5nycha8fgMPvdQ8oMteXtXERJS+xiPxIL9czqbMxCIV8nUkvJpA17gQvr0KZGOed6/Y/5JA8nPwDsJYAnoXt+8U8LM/KEFmFaewb8ewDfvE2vKMhs0qD3JjCGagOdJ+sn0Nv3MAvKdvuaBhd65GbbRz7l3gFzKiFnjN248CrFd4O/BPvrJXwNdpinr0g3gOuOmN4slzzTyO9BwPejrApv5I/0SCwSYCPEggU94R+6iVw+I0TKzuMTIf6SaZ7S3HlIE7++VKhuZeeOkDJBneg+AZhox0gHsw7YY0YU63jMT9oF0flHvpWdmNJUO+QYtFGHLYEubg9uyCz5FOAdNbG0F6JUSuHVmQftVde+5ZvOV9u0l6XzAkqdDKU7BN4ECjM84kGb2MKKof8reu/GVXHkUp3XACQnwpejtLBnB+1nL3PTmPGPzaEARA1pfj6584U7uals/Mpe9/XLY5DhnwEcJB0TvyZKOwa3O+Y7ufV2Fd+fM8FW59Svb1xYd41zm06A6diNDS0xPrdL0tB3IJ3iWTwr7ArDnXIGXB84ZqkEbfH3XBn5T17eBp2UCeGl63NYCl4kTx3yYdZL7ZcIPC+69oAzqJ+D8PnU4M3deuMex7MnPPSzEQGdqTmkXSzHYe7GHvebAjmb8G7zG++wLFIp3KwNpelF9Z//1UDhhHsfwnr7hlVjZ2gaVY62mJ3zlSAs+/4pDeayQ71SjInj/c8cIf6c9FcJ7gkY158dOFsVmxmwugoP7ixto8lPbn3mXuuynz+2Elcv36TgxnMcYD6l1cmQhQFeDBpDV+G9TmdzzgZdpx59YMFuIrUV+PLecUpqu6apgnfQl7XFXQ/y879pqQWB/6TtfD0/QtYnsTFyDl+nnV8rsK/hC0JAEJRyZu4ERyAML4U1Hp3eSPdFprwpltXHWpS8W+aBJ9B1wY6Th9lEw7mbWb6/7CwXfrcyMyz3ow2jS5uyBjAH40eBJc2zm+Xok8E7l3kdinEgKzAV+LCy56eeFBWF3iNP+VQEnlZQj0DiD3OMvzuSB6eJpevz+X71D7HPT78zMK6XKKaxtxNifDQ4OHuy9Z2pt9xDz3/BZCQ8Oj3JFXwz5F2LmAuTIqywepB3+UhEBv4UgrqbxLKwlyzEX4r4mwfMdG3PJZh/8UleK56bm/MZQugBvfOEI3k24tfj419w7zJWZFzcowOd0YTT+KADTZH71RFi7LJK3guKdzANzZ+NkYfwytbtJh6/H9fDeX4DJ2tT9JFwXy8lJb9nKrHMIzxRsfnrVy9xoR+Tw3rsrrsCPt0wFk1Zd74roL2izAjRajExtQ4nUWo+BczT9ghEzvQ3T0//VIADYQYy6V+A8c5+moyaSX+ecWEpfvXOegg/aPPEan5J+NueWvepTcyawr6w/L5Krb4JMHi5ai9espXtdq1E6DP3MPMIEqRcf0985PgbHJfeBR5hXUfTJc7WQUI18WD5LXbzA7z8Z1fty9ccm+mdXwXyu9oF9dDxuNILg8QN4/mXOJs/c/wDedxWXGV3Jl3R4Xot3bft9Nfn8TRBsAE9Ba5GQgAIqEc+I2IJOJKjs7YAH8lYNW8Fto4VnD7T7kyESZ8CJwEQ6ZQjwwEYJsJDpeSEjrMFNTnSPoqwjb//1xD2JSpscM1uZeY+ogbVPzL11H5flHvziiHdlxCUoJ/D3f9aUkb4R27C200dq7s5HGYgINKyLzVlSgEdsZtkK2HvgMSX83Omdp0cL8TS5+n3qclFArHI3Bpy+OvB9j40wdd1ylzl8LffkSHp9JU7/PDkHi4G2qFk7cRrL0tleGW2njGsGet0lw3zgIYngG54q1/9fbs/9JXVb/Jw99uhh5s8k4urQSL0yS4Pf7R0Be8DMSSqd9ijY8wXrs6OOPmV9fFKI3+tVfZzNjGjwXQlVgBnzVVoKiZ9+ij5udP/2XxvwbsDV20MSaMTt6QF6cOK92qQjMf1KlmrUe2XhvHTYLcnjVfbFApoBvHGyAs8zPnBS9tuFggdpNP6oQk+DFuE0N3O1Uohn8s79fv547VCfCNepMnPSzNwX8OXwTMjMzGyyuy2CwCqD+JOPejbn8zy6OqZfgzl3+/n1XoagkUG7blORzYZjAa0wg7X6ICJ+n5nrOg/ciip4vimvTG81h3+lVgrPOcmCK3Q2fRdR651MDmvUPkHPemKYOfisQITxQTmtzJwJdBz/TI2DQsHCRuBwzmmWI1OH8tYAzypHGNv4UQ7WC5S/zQciuS1/5ndWfLqDjP0v79INHPD/4P3+LqnzXAXCrdSmV6FX/uQHrKYumGQE+b2Zn1bbaoI1FfBe376yrE3vZCQxoemNan6CvTVno9bAr8dyUCZXMuHWZPrZPktnns/7mDZaXeq9sjF463PEs0aYmZPTR9ZzVIqFJ/s25gGajqYHEzu8Y2OXMpPHZ3rU61au5FCPwIN6Kmi4eKf/YU7hyC/G9FBZ7dXoVPA7e/COXWVtHB5uv9K+zQDlickRrfIauEXGlTvhprfhfajfPHMWHoC3lZZB8WpYC1oNm/4IItMTM+eKiZhz0DGtEJYNMWvOVj0QZewM+pGYWRigfQTYwNpaStXrkgQaNEF7IpS3oGH7UqP3+SHsOZ4Wo5nrFn+IgYz0Mq+1O41JrmGPTlkz/HthK75W4/RswHM3OoVfe99kb2rD4XM0vwjwbYX488JsAX2is5NV3BTHPsS0lFq/a+heTd4O1MUbM0eED7I7gYYpRFzWa9xl7LmeVtSXOYEY8p+CS65Y+3lclUMiwgtLr2k+gb7rrcbUbTioS8fWzQJ7zEC3Zixm5+C3H1FQcNMHPqbpGE81MueMpvYB+4lYSnjmUxbeb0kU9/C9P0vRhpWIJbxbySO5F128YNC21IpX0+sS/Ce4CFnAvhoowsANoG3D35kmM/i1PXBGWjBCCx2fANPaykGzmZ0p7folhD7SSLuAFb3JMwAe87mL7arjhK2pW7iwNr0XJmPisr1vVS65lfvDjdhTWCIE/PTvnS96rsXi4mw2+XPfJxs9EipN/+rvatg8WGjPSddS2F856D7TL8apInWtwA+Ug3wkTPqMAfYFvSddU3tC7ixXoMPb7ySciQy35xQ0xP/Wy1Ph8m3moCthfzRhm8N6fmLH1rjnSzEwL1v5se41LTna47C1KSKT4KiHOLIxJTfqABoF/RPQ0YYYvDHLjjOuJlNjokb5M0f0fQ+bwLtvwvqWDtMI79zFjsnlUHvp1q7p744dNPycOQB6NENMFex5ubuDytis4Of3jCUr/M+CT/o4rfpMRxmdKTqqlTwbkWzw0L9jY8hsjEBL3Rrqn0BmogbVm4S33zKbbSamVJlngNit+qtXZfMAMZGy3Z/NOZw+MG3PuP/jkci/lBFx1WXr1sM/h7q9rQK0nIFbGf2dU2xTjRaTv3Gy7Nx8X5C6ntT/nue9tspw+qLuP690vM+6n16wjy4FxARdMcOh6V1FLjJPHbYinenDwjguTb9r2s/foG1d5qCgsK5vjCJ02FLM7BNz+JKwGdZ+0rVFwqZvfRmCHjDnibnJD4p3TY9pDWEAb3hK+jjAjgJer59pTi7cQnOj2yO3Dxa3PPCpCGIVJQ1g+vvO97RiK8sPt5rhWxOSI3e2T+CLDcv9WIWTlQw17ONpSoZJZ6a33MhBZyO7tBE48z9rweO85iQCH2VXoNHOIlmzwX6Cnv7MNFmA89/zbgreYURA7xfWxLE9YdAcT/ACkoRydxbobOYcgM4ELWLytDGB78AKenhVLr5yFmPW227RkY9mIIwhBL6k5YA/D2Yt98RS+xqR3/lfWdAuxJoN1udZB+Jk8ALKvAm8IlXD1Tra/gpauQPPatGg5TXoxMRts8JuD8Rtv9mASsDffW08Ozq85L73BNJJQuO44QjMn/qdW3GyeFusmlZscVj4zxL0nyWBG5gIXiqKj1nvHWX0UwMAmK2jLCpM7rOQLngiDR5siA+gBb5Bgxes90BDTHvAlit4xgMf26jh7W9/AGbLvNr9zAAK4WetFFYcfJFdu4B1jrZLqjLg2YyY2mXdigb0sRoOq8kzZMCFSiOiWBwmwbKDdZpID9qkB+0s7P058l9E/+aZ39J+Sqo9n/DIT8CL59JW4AnQrgYvkqzyu35tMXgfBtgWZOCleW/bJZ9uBUcjrM0X7KqTZCSTuX9Jqfw4upPJPzfP7AEyJDT4rbsBf9zfqi7ulYhHzCR4pikUOcqYNV9q0Mug2x3sas072cF3Ax02H9IR30EPWCqSDqZxVtpxmLl+n4FCo9Y2AX4CbMPI1IA0w+/3cooueZ5zmbNOfpo5JGZyMGgj0A0zYGDcpnntkR4d+ajcxEGfokcmjli1tihBZJf2gEV5fMRr/8Ir+IY9+C7mEZ7/A2/F7Goo3rnfm3SVnxxQFXy/wUOnYAdPDvomnfumivAGfAFnq19gLX0RFl6R/YHY8Ar4rFNiFR6zYf+aXsJ7ksMagS4npfFX8vVnwXtyhkV9e/PHmf71QLtz0KStpKrHLAWPt7EK99+LdHFZgd9IwunIX38eZI/SGuFLFqmoZvoOPuIrEWijLPBEjJu+kUli+7eGxQf47kEVkMeZ/fYHAM1FNuCrlsTFh0q3Qw3+G7j7DGvXK9C/RQdO2CVXZitGkX6K4Ap7l8+ityy5Z5vz/u9qcu1IkLoVIImKUguw9V71Nvyswla5fvcjAj00LUm/9EnED0SjkAl9ka7cqzE+J+bsiRHYa+AtnN7CA+htpoGQQYMybhOOvKI3nhMFvI93VQTqgf57cq12NXiyJLg+aUDe90QXweJCrUoDpkY1l32N4psCb82G1s8ctUC850KrUPRygWeB/QPczeJWin8bFm6vwAFnLvCYWOjGYY8lITa9/zhgq6mrck3e31vbAB6hmpGFuofF9DPk9K/7g4egXSAujqA/TmWoZdKre0ZlkXbmfgGHRe533PHuyR7ZWUi+iA3vkyEzG28sHA94Y/PAq/88I/LOFTHaYj45E2PO0sJzAX6Y2ZnIk5aOSzMzsjd94+dPPsS7Orhv6AD7d6/DGjC4jADPbDyABxqPFtlIx46VwX6XfAszj2nUAq+/Z3ov5aCTtNqMG/Wy+osEdpDU5DSmEJ0tS3Uc4lB+mHWQrr8XDHSUqVsExyvNrDbQkFJ4lukTUO9lgQX+zMKDbfQ2+OmgHJL3Xv5WIvGwBs4X9U+fnx8tDZ6pAI923s0fQsBzj/iroe1XZuZpmxYRef1o9gRT20fHtQWfcbB/8qj09OTOfABPuki3eCrhJQ37nUULvkR+ZsifBQ2Wc7Y1fWQKuo+TovcsRTH4ZZ6eXNBmES9EBIi/j0vwVyvsAQT8LYAnLuCNn1lePImzSBGY+UL4wPb4u+TtR3P57bP0TQa1NhH/ZAg854rv0gGG6+IXeP8DZi2VoXdVQqNqj6ImmCz4jGO5R8zMMeV2YjFG0vI1TzWbomZvTiliF3dy5cIGX4CFGH7PKn98HEO9B57Ly2xJQUceRe9NgDWZEjyqGGgHQNGmn8yo100T4gj2xJKZmbT2lDCOOB7/OWaOMQ8sD2LlCrh5P762oPCnl3xt32cOAnTPK11RzIalJZad1a7mDcMrD9QtEabuSeZ42IaF6f2C2hONyAs0VSH28TWx9Qez9YtxvqtWLLOc3LjQhDum16m90rwN4bv935xi/dN3jydhG9e5jBrQIhW4MT5sP/GIgOtM7sifJdEH9+j+fXA2we+jJ3jZTXrZXmTPTW/8Tdp7i8jVjaE4Iyv+LOy/D7znV7X+csqHGq8bFkxhJkxfANXXffE4rYlT5O01dfh3xUgO3H1UnUSNcRPi52yDE4sPZnZLYrUHWB0JHHgE3URBh4lKaLu6zAMJglsT1e/7lK6y4xN4oaQaOFG2HwBOFwK1ujF3wMG2IC4GX6JujeYygb2Z9vUzCwKPd20PXsHHetqbuYQZU7DW+Kj6BDzyfWEMPKELMT4s78+akxxTFqq5icAXBLgAbLpI1s5ikAG2fbe29D4zM6vNfbDR9awlzNyZ5IV7dAqXWmjEmo9Sy6+s37IzNzNfkbGwLQMUoLle3/VEIKvWqtM73BcbEnjgsxGpXUUa0Aum54eimqhIc4VgTdY4THNlQVziTPemtghlwpNFf7DBZ+ew17Jaq6Jiky3RVIDX+q6Resdh+JMP2inAUJlloAEy6n+eXncz5+hVU2mXjv5OzL1ep1/ZMG1grZ+AdYMY4iQzNajWQn/iqp892MOvgsYb1S8flCKgSe5nv7MJ5v/mpI6KAFf87w6JnEtwA3UwlXVgP2qxbVWOFvC4V+psTxUt3FQgQX76KRCnBC1bmf7/Thwrx/tOXE3Br3zQqLjx/b+bQD7+1dh7dUxy4iZ6soqudRouv0wtGrMxrqJkrfg/8IGzQ9fWyXJ9N/WZzG0j8NCO7Le9FJML3viirKmrEA8bZn9lucrSUX2auWiAQW+9EZUOCc+h5VGI0zPzTJ7xxBHzWJBaYmgxCZO12euk5P6JWiQ+h/oTMDcpmD6L/LpkzPZVpyPgcsDQ+cr77TfoDlZZfFe4vEiBzd/7CzMPZ2P8bfLBlIbFc3mfmvmIHbeSoDf3F2NpFbdzNu/OAWjttX5QlD4LCn4pkKzq2Ku0/UEKBjpj8rjwoibCJd5tH4DVj0qT389SYmOnjK80im8Vj5fS2h4KSubKzN3gOCMhX1PwXZIylw6BV0G8loK9Uuvp1db2nrkxLUdJwaegLNCY9LHpE3JpIgnvmrlH63de9qHmB4/2nIOn3nDws6DrtZn3UbM/Ho9iM1t8Ia4EFvNMv/2Qu/EL3LhNV9gDjLuCX11z92E0P9Y+Ogv51QRzDDEbpgJvQEdPb6+HI57Xe71r2CRx0I5cxwQ8oSA9Z0yQPHOWEx/x42jmIjnk1AToIxnrZ23/80TYPs7B1iF53JG8bUEfPbhj93T1dWL6GtmEnWz/fdd2Tqj6Bu96N56bBvOC3clVgC0U4qtByCZRm9bh8sK2shRSN8LjlXTJ7WiTO9un8F51V7myqNzaBS+WsJUPasQfWXDwTs7TKpzfXJEgs4uViiVlLj4njporp97AXjs0ATe9v5PSkd/mTrMSsU07PDSDxGWXuEmgPQGauhL1q8r1lLl4ZuDN6i55SHMnMvK7QMSi9Pc8ChSW3JzFwUr6ltX7lic2Qik7LMCTX42Gd2HFlum3enptU9M/Ed6JlpmZE9x+pj1oaUGuzT61zMwcwOwCvJ6T2L3pVWSzQReAx86vJ6LJg1IckQhnGKX/5WkKGdfO5olFYoOvTE2uMEfkA7Sf4BoQmG39VJt+kGZuX2FmHDuAezva/z+mvm27VZ1p9pU4mIz4ctogMDYiCB1Ad4A8QkBgYhMb8/S7lfU5/75aY83EMQd1dZXUXe2dqCvD0yrtHLhyjtBdhdtXruxA103nAITqcwtrrw0qH/u0Z0BS+AdhZt6YdEQnI/7br9O+QY6/KXcCrQXfHpJWhGzJnTmuAgn3v6WNaFfQFrtqRHvKpeb8z0uHJevO1BaEsvi8S1/3pEMH0KeL6IBLhvj7v7o6gGQdeIDroJ084814Oxc8r8Wn3YQ2z5E+NP3hDnxoJE57TBm+g168A44SavevZ9ifnIubcQI8g2syqjtx5lNjT3vD8YAP3BLgd7g/WMQiNHc0KJG5bJhsgQf5tS2/6Egi5ph5q8D/TN8znx4Qa6BHdIk5CjP+6k+Z96A9bRxqq0KmH8q+1xB/3G2cKiIecGKrsrSVWUsAXD0trcXN9XSHlOYnDHLnuBOgh9o8LM288p6ASpF+XFQB92QUs6THNhnb6dULI0e1IeHnHXAB1/1EeTRlgrage4EHmJm5obQA43UTIUQhP1XhwuviYtNoIlm/WDhcKrG/mXlJOWiKEjMMnAjUut61VZjY1Jn2r/3D8/B5PVlkMvXwR8cum/y2Ar8OTe1OMgBKuxy0N0agSSLDq2q7fUoeG+55ajq1oXT35M8tfO+np5jKq8Ducj/eCB84KtxDZv15z4LuxnfckyW3PA76vicB6IwRPSoWF3xEN8jB5dHBz9zCiyriBY/614MjjSQ+j4mbuS1E15yAtgdyrn9KV94w5JUm0FU5kjtz/uaaxfCcS4ihXcXlsWHJVbApaAT/qtjBzm20Y70MEstjUl8egA1JGvWPZtRShMvlLNB3bS1PNra7SrQLfBblbIqb4HI/2sCz7MuaFC8/h7k9ox7eSTtz03sH6Yt38U0Aczt3gH8rHytGdsank5m5RvbUi0J+8d70vWz3Z1gPOcK80RKYvV64cwOd0hrP4bRGk+QaL6X9mvE0Uww5rrS2oIdtiKneAfwBTEMd5O4eC27XfW/XLr5WdvzNrPl45sqm++0hFdOV9gh4Lemb4XPJeh3kCBgf8BHsXizAhizrSVXz6bXPplnIezPz8/i8PahjvOm3OeWNR3lc0egA3OSwgNb4Nl54zPjFfM0/cF+TdPgNU+XR8Z8NOe+rdvAh0QiCN/4hljcnAe5UoQsyktcZh0yGx7UW2xA4/y1npir2E3LvPMP1YuAy0dHaXoCbJbSYiiY8bOgoL3jQxvg2YExSHMR9Q1WcBu8bxSd0FonpA7snprdDmN5o9NJEVyLUVbH3Z9Id3GpYbmb2ZOMsNsRTmTg35zwGT9zFYYM+gWtBjhiRXzJ+qb62GwGaHvQPVX5gY+dyh+/Q2NdFQ9vS1L4pn7lq8F61xJa5EyoeVxpu/Rp0MWCSmRfZlX1LgbcvgF9z7cs7cFonY3rInWZNus9H4xJgGfHjaP9zqdOCDpMxYOFJhnpvciGHd8sZn1VPXj0IlnJs0DcoMnh8XOOLYAq42GTqZk3euEtrs0nWdjh38aMcpxsv0C1HSuN8+wROHNI+eDQDe9SMxykifuPgGDROVIEOq7p+w/rkdRaAACuX7DnfFfDJxFl4QuOMgG5IC/INOoSnxe6jYr8n6sdzpBxl6Q1b0V4V/KCe85cIMhf3ZlZs8jxaXtcA1omOeaAhQIjiWHby1Rdgn8O5Iq7OT468i95eT2u5qCh4wHV9CQoYwyFP+hJirbziAngQRYejBbpm1FXlTtW5j9MKuAzw3zSDrEms92fDtgnc9zcgRm/Oj164UfH+UWu955H2yMgPkGODEjgQLozfFVpw0bjSz2yBPtcEyZPk7QezMD0zc863uddmNnShgt89vqGNlUXukOeySkBkaDIBT3v1Vrwla2Pma/SJbXpm7A549C7jzNSnQKyQA3ViW+W3e51vx9LhkjjTG/B3NzGzdlxiVxr3GSsffJg+IA7silnP2pwB7+eBOt6HCOPXvk2UOeSj7tW+QiDkhm1KxbvpY3ojoTZ9Wm8p+remLI5Y4Jm8FwqNnyKUXmIZvaB64Ho4DeO0GWUGep2YNUwtvjOzSNj+dj2u+nWWLelAvkGDsmokgXKkxfXOwR1wjgHiJro8z0V8YT2nZuaZqX0Tvec1iJ9SLq8S9JN0lq/KBf1cSEsK4E0Fyfnz/YojUwcM2prHf++L91OfOHwCLjjmYrrAGksxaNTMRn5uSbiWzTN3CMnsFq5/qTLI83ycQtJlngwOj8YnMdXTW9IZ1mL6vtBEHHWDeP2gYfPMKF5euRIgwPgb3pQFsdsDDPYTg9yVSWs7JWPgAHf0zlpJbnzXjdfocxvQoQc8N/7m20cS2j9JpEZYly2naEyC+ftk4305tGZe0RcT/9ejqoItaMHdyTQvSRtFoB+f1aAGyOsWdt6tTEgiA1TmA7zbQonK4kUOMY2/ZnOG/W18mSAHOTzqAae1I0Afyv3NOVnY1Loc1f7PP2omHUlSwEk54h1c83cVlFfQb5EI8I9irQBe0WYFYKLQoJU/jTYx+4W7zMwX1Ydf/8qjvRtxmAEX5qAM46+yk1zwKZTO+zXT+IXzGehc0FzoLaX4K+UEshkG/rGcqqFdeIi6zJmKzHgdQKw0oMcy429qtSHow/G0xsejG8tEEE6/IC7ceJYDunGxnX9rBge7Sgb50rC97FACeaJNId8m4e2R0tjM4L7gXovcjnHeS0kCvMLntYjiJ9X8ikW8UF+aPpSPKmzWxuFH2aMPyFt9QtGOMO6Dtp/qsHnk3e7lYXIXPHGJQLICDM663Vc5xBXWcXsObtbvHoLxK7al0XmTtM35Kn7CU0ww3/1PDyOeOdZCmPfBRv1R9ksFXxfi0ItYoT1gb+Mrp1ARmHom0nBOpc1/82i9okUF9rfxr5GD94aLCdDB62m0S3PfeJS2eeJkNguA7orlICghVW9TiuITheeQCb0yGxX1KoEjBa/6w0iG+L+aigjBusB3wwlrBhFS8Bh0HOB3e8j9xM0LOZSrfmMh0sAcHcgqdu600dElZg/R1DbFOf33MDO9yX4L3LDdHF3gd/300ilVSeNd5XK3om2gRullppZ9AJ4L+Z2izyUJk2dNQSUVh//NrpKw/todC+BnSC3UeMHR3YYMStY9aJDn+/K718kn43lOkwj/+RKb+ei5rY8lP2zqyFiYx0I6EGf804EcdGqKNjc1tcCHfnIbd8DfP0BxHSoeQ65asNEKjWM7Ilh+yhF05YrvKjo8MZouaTQdBZcvbZ6bumnIkaDf8Fvp4IlDnpWhOceNGbfZUrrM+AbIcvACiB9QdO8raM4Par27wDlcIeSGCk+fI56W7N09Olt+cicrDRqP6PJB9KsX5rYAD7udVn2i5uRsje+QdQpqocj4s5a9jWtHH7JeRsBfzayUU8WQlQSkyEZkfAOS0sIE+A7kZ/i9MbiCFkuVj+YK8fZk/9cL+tqPEiH/pg764gOyTE757TcrUNUgfats1ZUu6B+OQIs3DyYmQgdF4UXu2Li7Q7ya+pji+Hw3M1dAR/IfELkB5vyr1NMXCZdfb/bXnl5mqaPJ23DdO2z6UEM08r7NcBhjMag3bDzE2XZzDpfN6XnzeKc3OMIk1yRl4WyntLchH21qp7W4tcB9Nfd6UJeMTR4BnptBvnztpQCjywHbhmZVLddqAN1Xiv27Bfz/cTQePlqeSoeYfGkBV8BZYfbw44vxcKnZPBqfKR7iod4D/waOU1vtF1ybFIPOQVEBh8evWseNHH6xEtcWfpouCWCH3u8eZJdcTy5wyU7tzZ4E4LDZk0B/exJs+7snkaLkiZ3MK7W6NQPqT2uzOdrEgSjJqKl39j9fnI3lwNNq13iVGv8LOQBG9MrvHYIuT7Zy+BQye2ehsncI+OC9Ao4K2D2nhbIajcO8669pOKHfPjpuevhVUUc7mfQSV/v3u3mXf3tfoK0FimPWmy4ZRcjQg3Zi9smZBxHqATvLBfRbxRybQV66V789IlKKTpbMQUdMmSVdwuoV8zNqZSpaG3TDz9HJ3ArWZcb+vDELDJqdF20M61afh/cHXGOY9/qgQO/gwY5qhh40fDjnQe8x4JDB4zqwrdrnl6RvQ97tfoxXLXN1wX5rW/F3Pcyb80CudaTa0rFf+ivJjBcwmj6UZR+I8W5adz/wvMLUj52yI+VZaNPJDu9xt2AnvtYM9J5or4A1bzXbWJAHdqkfPLI1eVAtS8JuwI0lScM2lAKwXv/5R3nMWkI2xg4JS4+vcSG4SkHnbirLvoKWKM/72czySMhgrzXwqcoiog6NZyxHpbjA34+PdYC8ytl+57o1MxKf2G7TKkRzEi7rmU0v7SDOjFSNI/3TSgpTT107xhceNHin2TlYbni/9bDGwMptBhpsTAa7Taz2px4Al+DNnUPIcc52PHeIwnOE5+s9pLCn/LlNBDKzPP50ytwUyFP+p0eGwyNxP81+n5NG+Ap/6y2jOhM0NpOfPRZeVuMlznJYu4CtPNSSBqVVBxoJHz9zpn3gTaPab695OMVJYAMnmV0yvL/2o+5k5UkeMI8J1NY+AfyLn9yaWBLGj0ZPh9JGb3noOYr2Zg771LhTBrr9Q607HwOpPlkbWwCvqEG3VGMbQ/xMZU9c4PnwzACnff7yJZaqSzx4VkfQPjgfd1iJmYhwfhAfMWa8TAJvQ221T8aJcme2IH7XEp5jHiDErcMzj3aXM8VVGu1uotNl1mnOIO4qYd/gnd2q/8Petgl4bvprZZFd02Dj5EUCmiYm3LErJYAjWdL4C5dmD6HpZSxdbLz4XdBQF+BWaS68A/alqcH45QikQ//5YjjkjdI4NbVxr+8qgcc0OgDdqxIO/JqZ3p4CCebooe64BhaiGeRBBs8pDzz4fs/GLjzv8Z8lTU8vk57Sn2Z2gFf7/0DzkJIjyWiArixoQ+XGz7817+BXPUbUOO0O1ikz+814VU/Q9T+Nr+YmutxTNlNp6oD7ZTBzm6hjZkvxL2zFHRH6UJp80Mu8QeSCkTK1HQWFaxWD9/LhvIpw4+BI/8A7/64KTjAwhircdqA67vBvKUEEKd5m8K6NtxSq10/gPyjhhalNU0SO/Hb2VcpFdq2B/9fsYebVLZQTnoytQxF68flv+Py9dhJXUG7JwOzf4aPx1AMMsbh4XxqxXXlo9pK5w/j01vjApfNfrw+cQO5OnGZzHg92mt+8qriAJgYtpaWT08OSg67gAXmdfy1mrkopiJ0NcsNHzLA10SqU4dFplrOYcwmaHVNNhQ7c89huqggD91TC7MEqY8EdoJ3Kt1+yaAtWTPkZ+D7kJ+dc7C5c4P7oTC9+OON+fqiOT6BNrqyffxJLB5XwCrXiL1FMx6ZQCbwHQjRyZZAtHHgZCawN9bO1iXZfVMiwsg82cEEEOpkAzpszYwG6/AnfSRo2vfbZAJ1I0XDZAR/MAQvDRkyihLxgZveWDjL93BtiwTtD8fXMPAQ4PRFrRkLoSx6ogCPccq5/IM5L5e6ucM8SYhS0jbKZiyoaxq8aGHh/oNQtLSurveWusvKRrcrhu5Mdd8rGgjrbj7r79HLj5wH6lketzs38m68b5O1Py9QmEHivxOHDWcf66HhVYtmgZbnMXPyV+/LVW/HFRknzDt0Sa+7OBZpBe52ArzwwjxcRQT4BPgOctIX8mOXsYjy9ZWK3mtiqpxoLWENlM8aHJtRjJRpbRKgTgQxE9w/4eZyAwvmrWYI4TaiPs8bfTbz7XJNQMgU6Q0ZsLbt+BWz6kpD7eIeY8WOQo8z/zkRCTM/DFq48sAD7ZcIUaDF+44W81l3jJis+VPnf7Ko7Caafc2cmtNi78wjrOvCMn8abssxZiKlhel9FoV1uoUtD430axLHy2yLRuzsLF+DudqcGzye2fpq9MqoRr1b+wYPFxxF7AMN96UrvzLbGD+qYuNKhZr8b6SfrOWYaeLQA7Oj1twoaF9ufLi3IW+WamRkQ8WMJef73LPYImJ2mfu+qQR6Nb2bW4SxhkL+KmMN6fO1v7FUUX+ioNRNxyQHXGTN62fTVe2Wjyb4Z+Mz7+WhMj2kB2sr4K9lyEbAeMrGVdCyfbJh7uKYHKKknaPaMImknHYnoaDin/JvnW2t1okjbROtHJbYI62liv34LbaasYFG2/gLd8sQBzqSzRBDrjpkhmQl0Ywj3ma1Gwbb3fJVV1W8p5OMPbEtENGGlRk7Wzy+dcmsEp8KPq8TUoY3InPXkwvgCOa2sAnVPEJqIkOZ6L8B3o1+P2sAG3aO48bvNg8NSFYEDXMP0/BQVn1LuSwwx3GIE+q9vXtymzB114Ex5pr+81Lucm/1RzZOTM/HjivbliGbQSra0tF+FzMp7O0tcc5a55XTdAUcJntglb/n421tME3u61/0CPNjsoTePutevPSJXCeQk6z94foipqLFNv4uMuEyD6Q738pYUpl8OF3nPPeAwpv4N4iCm+fgP8Bb4CmBZaea7s2ylLke53T6OtiYlsBQF+EIG9qqpML5WFfCHXHWQR80uMMSMYhfznSgftnMNAcjZ/I2Z6UufMQ3kvfr1fp1ugPNjGiC7cWIvjeQH4epK8+0PrJ0L6HVzvp4l6K/HRwDeHrN+e0uC91X6qCWOjhWs6azbWRVgBuSHn0STiDEdpqh9o/A0gR+CtpwuwHtS0H45cMcxcbGX9ajMwyXLRjIq5u0Tsf2Q9vTSRDK34mfm6KLyybPm+KYAT5NV2aDpehzaFtx3C7rqmDnyBzKcXQ43G/Sd5LYKE2GmGExVs2pTa9zmYgs6aM4Jgmtly6N0JrOH8+I2H9UYnxL3sGDL5pC3N5DXzf79U0GuVWI5igEZ3TGVg3VlUfIse9BmI7GTHstz33rcRoCXuwHwFvgk8SgjI2HZg+y3JRsW2+ypvPZSkrAVtdtyAvwO9yhMwgl4oCxAvXqZ07pqRR9nyjEVcQrX81N1gUutFjI4Oqb5u2fm92XU+I0kbmNmIQbeLQGuUA7Br4cY8KGXdriVY+kcHTXlwGzOBXnygN1NrYZc+ZIMai6/tptUTFbiy4xEB0vCu6jC+dis8ZNZ01KK+dFEwKsEDusVBcSP8dECfcDjEOKZN4H3qmfrFVXdWRDLePIn1m1T9TpJfP1RuZ9uOeiOQTxRN9hkg55qS7cQV5ec4wn4bFVDvADHP6aCTJCP2srd+bXNIQ5tpCwvMH3qjf/v5fn5LMd/Xg74L3TiYebxepA+5Pk7cy/Pk/W5AqaINDT3A9GHygdgvMDwjKqwrZidgCbUP3DvB8wvdhppzIMWODK5l2J6S9Y4yunny5MQnncbiqJdz0N8BwxE50JbZkoYd7YddeWILW1LewcaIAZ+6LlAFIpkDexmIMAVD87RZVY9vFtKoxNwlpNytjGD9Qk8KW5sHHMfvfxFU1gnP/A3jf/rpvEx5Ta8U2F/MBs4i1C+mSEPsURB01VN7x1rWxrvXox9FKn1sOGRynKHmHqAmxSJm8JapxFOWD+FimMfOMtrD7YTHBVNyHk+6jXpkZm5+c3tna5d4poZhKY3H3hlno/tnun+CpjUlxbaq8DmUiyR7Ekl+4nmQftT2WqDHeBUTnKXHcEl6PKqV399iKpv/XLN7pmt97Jv3MzZHkv+aWphK6VxnPBmyW1gnEW7Ex36qcd45cP0Zmo3TF2D4rsf02uBC77g8eIIrX8A60zfuyYduZj+ov991w4LNcGaSbKBADfcPgX8LbLq79ycOwQz6OTpOzd8hCK/cvAmCeSJ2hc7ZxMudeYIhPYQl2PGtqCX+H++WKixSt6m0ten/Ovlj327H62t6QGxsX+4mzkXieM9myHWQnjHczj/4iN93gAh1ZuZa5EE26uE9XPWU5UMC29G+WR+TBsRY9B5R+AbfuID3yvw15nuIJfvXnuVH2lo6qBsSdZg5XyKqiieKo4hc5OE9O0hGeIB8K+nfWIRJ7CA35egpSV+vjuNS6ak3/6kvnoDHj4S4Ewnt337PfMeONxinCeh/T/sva3Nilaq+ZP6mqm+vKu1vNNhOUGO0ok52+iRR/vlwQPjI4lG2oOWEL0jIrxvbPmW93MqA3Qshb6ebNmVfWzVBSRdAZxbTMCZ9eYvVzLu/s7tcZBPg2VuQjnxwDZ9LrTxiblHNxPLhvm7pQIeJtddySnR5vxVisnOVnRTVBqPzy8RTV4CubYOA0dw8g183m76l//8bcmMn5XT8pLqHPAFWHicVjy2gBvh3Nm4v3Meh23WjBxytz2Vpo7OwodSLDPw7Q/aA49xbp6ZoUGcKSHhNpLhkpozWFiPqFrb44v35lF7bDQuqgC07KAl6G+CneU7eb57pveLa4jTcAoTfVgkmzzFQeJF5b2y0Afw+5805B4N3p3U/3xg13ioEV332xH0p8V7IrJh+9oHmKTzec1B51VsbnOkb8arMfF3M0VK4rC855yUwk+uMrCest8i44cngUll/WGtR2X2e6WCd6jYdG2iT7tyMSV2ezF9FMa/ia/ti9usvAMGa/bIgynP+8n4IZM0nEM2KrsK0T535ifgSZy5zQbwxlJmvtXIj9QBzFuDpeQqPTPtAwdixlOfB8C1zb68G5/OUWP2l1766w4K6o51S0sKCqhgjyZcgNeQNNckVpqEQsyMR1rm+mDndLfDoCsqN/HKou3o2A6S6Qvw+WOy7qI0vMB1NC4TOG+cjckTGz789cJQaU0PWC9jXcgHxBkBfYZkwCc68v5MlQM5YIC8EtYhr4gDHIJzR4YSNH3/EKgx3gKyZtMoLeCtGrPM7tdcqA/maspsVZWavfLXXQQWsBTrLjV5MjQ9TH02XDfwyTkvh/itEtJ4wJgZJb55JorHx1/fED8uzlyZPfEEtMNahzOv7ZgxG4OWaHHlzBPwrQn+/4W9YWlplrmBBbiMlL44JSfPJJgPxE+shjMrG9Tlf/1Eg+mWS/fzf+crov0yZwAieED+lpesx34dySddiZU76MAtEpQDf0hdvuqjfozvKqwbr+7jr0ZPWvr9ggH7JayP3NFzpqdvvqrKeAhWUfu/PYc5qZj+aawWlGXbAp4w45meCm+T6QPox/nnTAF7bQ08C790yu/5fYV+90oKGaooLyaS8swpLchFTCI26BNjLZagcwRvZzO3O+8f1yRqM1CeV2L9N6+yLpJHtZo5uaBph8eTiknC70DOvr32HPJ62DLJYeWNasMNblitnxYk5KO8wXN6a0JCygE49sins3/wSME2eACOXaCucfBH4vCWRBfQfMrM5Mv5qh3qZ5vjE2IXODbwlNc+9lEYv2ekk0zEI9M6PVnNpjbe4H75SET8lq2qLQslZLe7As4SamZ9CQR6+f2JEWfAqcz+V5GN8Vj7bVyK5gm8uso4d7nd2BX687g7lNZUVOvOa4Tp02wXotsv3OGbMN6LVpwSioMUMDV3WwJ6sZW2TGFd7hNmtjXijo0T6FsEyp8XjPNrSqWZdTnnFo9rxg03eWm9OxneHyLQgrmNI5FuQaecJCudjM2wXpuHoPykmJzN/HaO5KN5bi8Nwgw0fpZGylI+nhIue9nxLrPiXSJ0cQ7/62ngwdQC7r/OOK5k+LSE2R/X0jazuAkyOIKeTTjnjP9bG5PzCvQDefB6fG7fQMMMsue7JJyLUry7SSdn5rQtXdlydC+eGPHzDKk8KXYrA9wTevfKX8DP/21SxImMPoFnkJ46My2Bm2I2PZuCd7+eFX4Dmt34Km6PZg68gp9LGjiA4xfgnaHogHv55Kt02JLYwM/D9q3+2hrf7RSexYuLAjYuofHbPLnlM9FTeQbNC3lfNH35gDxxhbj/UhF7Vp3EHNJXDRw+Ac4K15wmwfQtYRVLa2tm7b5Vvp5F4P2cu/hkahCxG+MKlNlf3ZezdGLwgBcsu9LhOmcx4ELj5IgweA/G49pL9++wdpKNedZJx13IAyfWb+DfZzd3OOjk2dQU6nJsN8CdTY/f9ejugPe1M/Db19oYcMidikvgSO0p9Xcx62WeDAQ1o0YCdHJFd1+QB2wh7JUH6M4058oun5Xm5rzvqeD9ZqOpbn88pRs8cIRj0cmL2YypLY9I/++M/glrAZ4XaIuOt5XNnHMnDapEkMM9NhoN2BIRxl29N3ve7HFGh6eZG9RYqmJ9v6boc62F+m7MGnYOV2pZoK83D+bKG+jGBQv+xze4i1bJDjY2M1m5mrCpfUUacgx/ZOacKJSmZ+veFESIHrlmF5KL2C+ZuuXO+0Lcdq/W+Ja4vG3YvKE9AYE7HRvKPNWhR2Px16yWO3WWPR/bnFi98W4xtfu+soO75P0quvjWBCongjkpEDfMIJ722w8eZCsd1SO3MKLU9BnFAe4ONvA7pxKBLXX8Df9+5db2wCL0Ok/5Oa3NowFuCBpnaLrmih1454Xp7+6BF3kL5KavI3xDbsciD9GHCPkxRbsC3vtYFbzKRKupjR6gPVw8qgzyuKn8fCPRLuKDjXgwvzjAzzlU38kIOXa43BvGT7z3ulqr/ujIBx6W3x5WPiyytuSuGW4b4OAf9XB50nA7Vb2pz1emhqiEOP/BwB2zL8AAK4Y1qQA84w2g+f/qRW+PJNCnisbp2fSKWPA+x7YjzDuqYfvRaIhFFufKksejrbvS1pQIa8FIpmbWA+SZU831KQGdw4BHpJA/syKWwL3LqpewRtQb0/LF55fE9BiFPSByvBO9zTjdbUBvRdmIlibgcRUoehY8x13/YEN8IbAWqfk9NxYKuI3o9NQY33rgT9XYb9IiBr2hTD+sy/p4JBZ/9QVEqcDPmn6uDGJWBu1XQtsBa8O5ccAsJeGZS1MRD9cJ/BwdAT98xrwY8PIgwvcHtcx89IdTOezJbJ6ffWZXwYRrTd5y4Fqib199iGau5jdwvgcLQa0F6ngO3r3SlvCzeMUcVCbEN9znTrkqqaOLjYX+qmn7cUaNU43tkRoPCYHDBDhqtuou0yqt7SlkA/+BFf0h/OZv3yYfsCMgTo/OpysjNahAIk5bKiLAPIY/CNo5ps6sHLldj8z045jaTLu03lfJm6fpvSeg9+E98xJWbu0qUlvolmt+OtnkCZr+VW8j0ghic1g6LDLj74rOgc3OveVSmy8nu/09N2M9TrJOWUnXPMuOedTVadUdTEVaK0V8ypyNLaN/3pnzE7XmJ3++r9hChhnuANte37UBvAvycL4p0A5HyM80aE1t/hcROqcFToAzfZc8Nh4KP5WJPdM74pOfo73rzkixTGxFZm1zsd++JSH5qHVi0UF9n6P+Sv3eA85IXnvLNd0dMkFsHvEAh1tSM7JATm9rMe8xA45jsU0zKqfs+jspyMQEvKOgfNSgC2C9L5VD4pLjKA22Vl5weR7kCXJcin/nNQM2F384/+CcMGrmXAX2iQxbwDhV5AP/ygOMVRe4bNi2JUcCcM2DfLk0fLqAzrpLtnWoWIyjosc69VMF/I2IFvH+cm3ojme9TWBleWetX3NG7s1+e6gHb8ptBbHWPErmHYz3dUKDTRXa69GdNOW8gu8HEQG/M7QDpQk8x/aWOIDt8F6VmI8s8NbaJt8pNT3OMql8jmtOBsiDr7ObjHXsng+3BbTx8SwW4E7IzIv6SIrETYMlFwxfWIFutcBvgCNR9nXz5Bqb+pzS1APzIbHk17uVRhD7oY6oiE0tpZV8bXvJvLyytq+ZJu7R4oOI2L3pdkseEKtk6A2z7Y+yG+vkxjbk95AVPDQeVMmKwiq/eSmLE+7/M16/F8C1ALjoSiBpGf6Zay3FiNpG3Jw0kFY+vubRz4zpFti+dpWzZLk9zedh+oAsi+sek9yR9nEtnSqfs9ycm/v/HNK3xqPOyfdbM3lLSwpvjOLvxFcTD4k5k8C529gNVR+1I0eK0KvfoSX9/MYo97DdfhCrzRJ3d6uf2++T9e6e3OkjQeiAV+BgPV9yNK2yw3C9cYH9ncMd/kzCzQZiHgkzk+E5SxK0RTOgI+69qhkgN2r90ikQt/yNIfY4QuwcXdUdVwW5BEW/58cDsU9mj8PVp9LxdoobLg73HE6iEt6VF7qqgOySkFiNvjzNFHHQVLZ00JLAW6oozxWaXng4nEOQJR06gr7Hxhs0EbBGfNDXDqwF4/FWkDvjwSrG6QOwRNRhW9XC7uF3QFMcPNCuK+ihE9f4kQdTRQVwJ1e5LMg8yKGY+y9v55tLgmlIQ28Pa2IGjnY05/WA1xAbCNb/1lRFd8JXLfAEBnxvo1ZQNJ3eZYMsKW8j/JxTQA8HtOaaD1sz//kphukbd7vu149tTV71bAsZ0NP0meZBy85ftyUrCE9Bd1H3YPGouTPUu0fHvjfWNCXa1FzcPNAmy3nY3PNgXs75dgPryVGAtQmHtSL0pfLxd+qD3rfN/NA/31R2tOFv9C2nfVwdLd0rvtNS6+eZx4UKEC0tOwetj6ilDmaGOfBbcrQ+HS62Fu2lBzrv1FDd1czTJNIkXzXkM3s899s3FmwWqsmrtiev+MVruMxBNzzrsT1ktMUkIDvcb9dG989s+ITYBSUaZg7ju54LTpsQPTO3HSrAmjPiJeRAnWvDzR9X7AdOPQZu7vIB9zjglv2HvZlGXziADwjVM+NFABmG8cns57aZtdyBo/pJsF2Vy1cRehvQCMC3eFgDZjU8caRYHpBlh7rfOGcEGgYwz/RZVQXOK6oBs/96OYMM9PHvDJIQ+GwkzTwfM3/NbvrEykZtl+5lc7KIa+b2ssB+o6DBG2sJMjFT2renfJCJqZ3Nh88NFbPx3zPefXfB2tz4J5mektcZh+h5fnRUm0c6A11sBvZcuDNfygKenI92yrrdcdQGTGw7uuIDg581lp00K35SU7sGGgY0R0IYZtj/3GRrcwf87kAXnRKfIJXPLzzUpYCcy7VshO3X0e53tmz5nL+osL8E1V/wuT0XLZfwnDPr1zcr55F6sud2SNZ/nhrwBbjWvuL6burNTk58AT73cXLQlEQyBg6bvPoC4Lkan68PU6eR8l0Hv4uJPT0Tphwy4qAZ5BsNEJaWjImLCMQyvFLgAl9bXLuQ+EylHwPe4Ge2WnmHQ5SQsb8bzx4A2wtwlZd28ACD3l6eGBBnrGZLz91pTKN/K9WTz3v7WSHgO2ISuXsAPoOnhgZ34x9SDtiqg8Ahw9TiMHBVMCUKxePJ5THgigO5IzYzTl77ANya7HJ4NwM9VsjxVmo8Y/x/G+BAX3mHozPahZlli9yB3BQScg5ar4rkj6LAfZ3WTfMZN+H2VAv5XYc8zoQezXuH58DOoHGo+Hy+niFooB0O2mvmcjMHJwTe47MBFs+46+HZ8Dq/PQTKnqSXF+AwJ4bwjWrgrCOijNmzmU/A+vnGuZ6bCE11MD8S1so8jJk5/yCrDl58Pu/UUfTAR6maSn1ZSlPT1utKoR2tQ2AFxVQIthxqZ16OKxH5iHU1tFpaelc5MWJ+axGhQBAC/gez4BZgdb59q4LPexJOA/16zaC5mT0yUKrZ3XgLnyB/nVwCOolsMMSZ6qWZ2dbWtvEqBcUB8SUBl0vnsZYrz5tgA4iyezN1uxDnP2mI3k6WZcmIu6LgDubkUHevGda/NWZ27TATvxje+dV4BBAzj06YrLgQ4DZfkh+uJxv0Rfe58K93j+iDB/neJy5zkn6qgJuY2p572ekUU/UDyxK09fbn9++s2StXfii2Bcw8XCHGsRoW4DRTebLjwXi/Je7hChwmID5o3P/meQEaAdVltm08koELOjjffuEV3zOmACdaDHwBdMznM7PRPmeLmbvy0imgXZINH3gLf/tJ1tbKRXshkD9qjr8S+KOYBmvi2CEe+KNh8ciYNF6KIfCO53mUonYC0NCL6f8MeHG4Vy678wiJCj7But1Ps39/7aXczTzZk73bE39nV+uOncfJeDPMKshc4CWAediVmpu9P+u/uY/IB05bEY7vwCVo7uCfRk84/7o9Kqo2ZPx3rVB7bALCErFFJLBfPcUi4y2SYmsT1IIWkzZIcAsYt5VoXmaasFzLADDWpT0qK8E3Wb5tZfd550U8p2amE2AY6KUo7/WeImCZlN9BI+Kjy29HB3gJRa990QQw4UEHtJiePJDwwIFwBe/9CNprTQOOkmBaSb9gzm4bPqJTiibAVJmU626UzkyzAXTpft7kzNtxWBQlI4Oy7JL3xPQBbjCzXnVEIzCPmQbTN2DR5tz1Hul2Zq7SQvgk6tHUCfNMDnKVGjiErTfEjvc5b+zcWszZsC2HNuUOessKyamZ6ddvD6bzWAXem6kjJgHWL9yAmEKE/rsDZ0HU3l2pMw1nzTvgclWWz3bdX5asR4MIuNl/9tNiN2WQ0zLGD1VwuAIPZXlovKBgbVjay9hyw6G+vzwXGspfNRVD5iKRuYHb9MjsWYe1syDpeARrQssh/mYd/6hXMvCoPeYD6YkN2iOIjzKQYW01G4zMHIpkIaO+wzqPeQD6stMD/LerutiR/qsee37UgalT41HG9Am0r/EAXmGlj6THs8q3H1QQ4wfx3/kIgmeElFvq2Pg9tE2BEHBkyJ9o4JCuIC/YxlMXeBusCZnVbumS7s8n8A24cNHQwwMHW3FmkxYB6rJuJyA2DtwhBXCYCLhqJ/6by/msXB3xHlckmA2PEongEdyjJjYOciYv8AwY6A0zAxP0cqshZl58nuCQf2XAx6U1fyvr/a6K9udkbXc5+vfMzKy08HBPnNLUcFsEyf4cQeQjZVW2foMsCTjTGl4dgEYb8Nq+nZ5z9zsHCD5DhvLehK85WTfgRsAbQlym0cRMD6bx8hY+t0FzDRC7J1PXyPbv8JnNM+d6r762I2gUl4TLlfkJ8OrDBvTarPzkbnoeE63JeTjcic7M7Gd0dF61WLAOHc8BbC9OtrZYyA3H20COGirHdksrXho2jbmF/bInAw0Wei6UQyPTU8wxiUBDR+1buWJc/s58bS95pwNGd8bLIP7tVYnaF2frU9q61aq5onxWurk2obKB/x6bLj5AjvCFRq1pZmM07s/hxezJubkTgM7j4kyNb+0CPB54Itt2iZ08qkDvIFdA/us3xl+IFe1rz3ytVgTvlae1Na3cCdaz2Gzk3ry7pSDiYubxluQJGB3qMV/LZ+M3biPUIgS6ZsDYac/7cgBNboHe6pDfaNlW+rfnQ0ufR8aD+lWLdbSJ8f5wIB6JoLsScsOpAi5PzblBryYq5AT5EoEOueQO5AqNOB7UgY/8KnviM6F94PQ5cNqoKSSGvx8zC64DkCqB1VTqZPlbh4ABqenH2BuuGGcsWOK8mGA9AVe27K+04EfgBS1oToGdtgXN/cXg+uG+45zHgRgWDJrkkIe3+7nbPXCnXTyQuPbVE/7GoCj7m5VJQu+Dj/Kp3N2QF3ELf68k7uWaiWWSw5bBz1bsoBvoA0tarQPXcspX6UFsH0gkHVi7Xm1mboef9zz63Mh+O5eidKTpKfFbT+o/356oAr0tgtg6Aq+UzPtI3Par5tMCWGHmk6wsMGv/cQWO/iFBw8F3zondDnKEaxKJB9gywP1ghnYdRw3kAlKlvj6Wduvkw/uTrjvx4vPHVaLzuKsU3YF25Q/I4cPvnnKoS0YlY9acC6bCKlRChnIws5hAf5qzibTu8WrOJs4U2L37ea37JSX956McFlhBwZqi4FGx9qVhnQaRJ4UnzKJ4yKPJOnfK9C2avt4D74INaIBv0EVIFLKCvNJWiHxh0LMngzEWPpXABStrIqWYb+ceS+Iw4NfW9ffJcYOdfzWcC+2noOzwhKOY1k77wIgAf7WvSaAubERj5ahrEiU29tWKhzbH7k7C58fGWUYa2m3VEeO5vfuP8yyj1GhDex1WwENBew7l+Opfvpm9/GPOUAEcEzcB4HY/5Vmn3LqYhGAPpxzlPRMTK/upzASa83W35CLu8xXePbxbMZKJgF4A7nuqEV8qH10q693NbJnnLjZzw4pXbWrlMzuBXJyw+KsRpj4KG6XQMStOIabyjKoSD/EIvCyotP5pODFz6mAdlW5C4596bTPV2z/5MHtm3ldmAV5YW5+EcZI4ywBa6fUMHT5OH7IwfUaI5uGUHtd2rX10OnMZko60pN8KwE+ch8Y/C4nz8OmmQntCk1h0gCGDmTPR3LEjQcPpn5ODbWajN973z/N+Br73f3OlSR9bzI7v1AGtGOAN6eeYu+qZD9rPnHlvZrUSYU8Y9GnukoQX7UIdFUn28AjngFLZpi60xrapQ118HGAPuB5gHFprl1wE++vZH6se75Ph5jW2PBC0e7I+FqZHTwTlUiENKineNPZlUcCCIObyRizALbzwHHBWBd4JMGuqbD6xQhfceAoFy1UW0j6Hpn7Shn9jf5rozGaUm753S9li0GXNmZP72j/zXZ4PLZEIGX5EFdUp7xVgLHmALrfUsLma/Y86aksumg0Rj8fv2dqAjoRlz+pp6qrjb+X+8Xk38ePlHKKCDjwWBWgcikVZ7Mp81LxyeQn4viv59PitJR/0CvEWid72gSvGpWjvzJJr0smqtJYbdXcic3R5pjzPIeYa0HYKyRf23rg1b87M+0kYPomOZISSpUYQo+PUGz+lJLCedaQ/mMbA87e5dGzH9MIKs3/B9RHi/JSMGp7ar29/etaSMrEA98JJPsrDWZDX+ddPzWOvdHdHEm7WxGJmPuYP7tmiogY4A1nO7HYFDmI8tAvmtAHkbkx8HlI23epfH/IL4OZuMfMik2E787E9nCGVVvB5EbANcJjXM7SrXmOCguXsk5XB5xszh7FvQatPcH/TT0JbzSM+5jbx4dkMxJFvmTXdqGhvptek6ZtHY9mBMnWYQuXGpxO04QbWHAIdGwOGvWpuzcw1m4O2FxE6lv3yzOBuKCcY+JE+jzihhUzOFJlnL6kfXCkjKWAK8GJTN8me1PSmrnFaagVMZJ7Zqo+QD4WZB5wDTjGqX/sb96O7e6sZ32cusGU77oVmXla0Ox5MAvK5kEjbNPQSrKdUReRu6laIaGCtAs5AzCdmrs5glyyMh9LtQdu1l2SYBMTXhfdSA56/vsujvjkr97xmhLVTZBuI1yfoyCUbeKeYvEmLHJJIj8nwvlb7OaL5NqstvJheM+W0IdftETg3Zc5yT0O2EMeDqGktxZA23vhGV7zeF7M4pYw9eYT3sldr45paz3ZUoY5IuI0hRh+VG0tSyJG46FGzbUtGFDEed7SYZuZArgjMTBD9w/mOmVq32uUn3G9HwTRwffTaP/zJx90DKIGF3cmB3LrHo16bvg2OwDeMzmTWVjCXfGDL+CThSlC9b7628OzIkoSalhr418g7zrwksdCzHEHPBPyZuIl7pu2bma/zOicy87ngXjz89W6uOTGzwBXcH8RXmxcIcp9NjzboykBK5WsrpTLBnVqAz3RCAOcwe5MB5NdQz7UInmkYR+eohGu/3CnDTAbeq8bMqTteNoh/5FHwUEG7oz25qEjB9ZGf0ppj2TVeYnmbciU2CSC3uMR4VT0SMV1gnZOqnyvMFtO/ZzN0sRMqd6XVO8Bp1ybqnyXfveqW95lQe7WimUZTX1nIBm1+kDbKVJetlcOttGg944Vbwdo4d/8eXPxvtjo8Z+XH35kws53gvaDP9czjy3ElVe1oR/I4hesG/qdf/V/D2fiz83Y4WptHYm3L3I29xEf90Z2upmeVc2RmnpwwBVUG+a0eVUaBYCs3HmWQOExnd/UFGoS1Zu93VwXoJLWaScjc0omDHOlX/qI0n2euzdnZ7k32G9v04XNLPkqxveFRIhwuCNaUY/aZq3A70V5taIjexIAJFrjLHWuRPT5iMf1aYGUdYLzFEybwhTl4B/zhVfeFTm7rJCN+SI4Xuaqr4eMqnwM5GF+J6XDWqAIu+wV4KjOt1iQMFsWA24VY4mG5QBynTCMJOvOLaP1NV2WDZjlh1kZ0mGQSqld8vcmA2ZXBhqD9gbx+r0fcpqauzSUz42jliHQMOD628A1yb18N7Z1G7YUG5AicuGQDcSu/2ciodWF9i1T0d2Ybr5Od8c174uf21de2oRxBztql5L957FhBnCW9BdpOHs8dv1ZO4uSmJ8TmtzqYC+BPC3BD4/Bmg9bcSOf9brxDAIM3wtTu0v4ubQ2scHvBhSyV2740rFaWKkioDynb3I9Odj+LZSX+7pFwTDPGnFJMwDeXgTrL48y2D16Q7uy37Tm01irY+ml+W1LjG9hPvpnTU9vTSfjoQYLNg+reYuJvlt8JI+Ak5j0UuuQhl9hq71xYz0S3b7Ud75Lo4gGD26ScEDJma+kGVxzGudpvJ8YwYGHwkFofVDCFVUEKoiE38cm0TX9I0IJN9+dL/J1Eu0sl+A/kLWpqlbGwq5qrMBnIQ3ByTCDbJ4AheIwfwGePoE1vpWO/lQXoHn548J6D/thJYeq/isaGtRAJf0dFoR0FOtycU73uqx62owS9BGupN3V33OQ9lzu1OZMP5h/C4j3hct9Y8xPu4yLDxa+Cpcwt/QFc57t24hsR2aMRfMCQa8XYCtFvWxFNZi7mJuP4tR8lpIvNjFTj6Qw5wjbnHUOy7qrGVR9l781p6MF9bBlBWhgve/G1zQDfQZf0m3NvB4DXb2n0e+4RnZHe1D6vjOdR3e02KsCj8Rt7xRcT6AB5CfRo63P0+cARXwBbp9wBPO3ITnRYmr41Gca3vGtPZY894LJvwAEr9fuMtZey7QXW/v08lnYzHDy64p86Qsk5bEvj5f2qaS9/+3huj1rjlmv8kVMVpHxHkuD98esj1ffemVkWjdCVWp8ONjMebAyZUhdsmC85A47tq1MSEcxDWIMCZ+dR9USYPrrW1En+b7bO7J9D1eXB3CZGWYT2Cs/sCthjgXpjdbCtIAdGJGhcBty3prs7djFmWu1A8wAH3T6bQm2kboFnfMKz2XaKKnNaZmpjTT9x8f9xmxa4hsyGzZIKWZi94saPe3gG+izYXUZcAGPhLLrcqzFZOOKz6NpjbQOWMcIUrPd65acGsjnox5MYOVXuv4VZdp+Aeq8jfs2KPx/pU+a2Gt7Rd92DtgZqjmnrmVlZdDTVJp7xptrIfNsrZnrMZ8R5D7gzM9AN98rUGveemesM63TrZQNzT/au/a3LDBpLFAfQ83/1URmGT5WD3JEQrr+Xe+rKJ0GQV+3pCrc8Nmj6hgxyq1wUlJykZN1loM9T1nuc0PbZ9MnCujjNATuyQd3Oxmd5MHUq5CryOTP69H/fxXMr1s0XfOdz+1NbcVZqbleWdWWd+mhC+yvZz4Wkqq2cmea97WGkjrnuAX+Rh1c+mXlxRyseS9ND7vTGlcEj4WHNBOgRqu6ik6/9eY4dyKfFp5lXHJ+e25ntt26+f7cM58arhHV0uJ+s3js6mysZyYkPcaaETYFnW3JAVrXyXRNazrnfXtKwzcxcrmRVhanNFb7S1OGv+Q79b49kgDDorFFSXknRfsA62NBIIrKfW3gnGdc8572OWK8hp06m92EloNTL53b/W4MBmE58/AP8AcI17oHVOvLrZp5BKcO/mcjAQYw3Fug8g8uDB7Dxy22+gNs8zXWrLmbYbzXzGzNvGmI6+W8mA/28s2gys3QqNcoPCT83z4Ll25G75bO0P1fm7tK6+/fnYYJ7vUjntkI++kl0HFUufsOUT2UhAVO2IbGWpA77R+XcHsYr9twpXNLyCpzH/uX79u4bR6ZPCR9YiDXwwpWh8pG76ILhfhv786Vho8ZW7TnahTyIBeQ5l9Pf/fkHYd5DDctSCq5zMYEOy+7Mh/s0veEu/5IOSaqovfJ+ooA9iQoSD/TpFZu6pOECuW268xVVZnb2S8MmQ1ukZnZJbzyIgfoBZhn9C/EDuY+3Yth+5dHlwfnFBWyqmDU7OFIks4moKXZL473eG0/Q4En1573W7Saj7Q24mchH4/FMXmccEWh6j1j2mlv81jCvq3sluLAjouMZeLOTcBlmluG0qDJ9HNyWvzOdq4Bg4zl31rHZVS7ObInPoP+pLSPAIqvpt3fQ+4T1yYuzfSQFd0BncLjmpwKZkXDmCh/Y2n5rUUoO1aD3Z7FZqh5VVGxWJWLjcWLqQeaGzZmIymcabKdquHj5mtiMyg+K4LHDkwPOBM/or+bWr9ydldsqgvx3qMLZgrx7NP1/la+Nu5DxPblIW7mgid9Oa+ueOz0lXWPl+1kTd7cHHuIyZlNGg41y9Zt8btszaivg+dcqeDgnO36dm88V6DKhpxYic5J2aeqfCoh38/6eoPVnEQVeNfKPxIc1Tv/za4NY2KuwdyCHepCXQ0XjGXQUMjXbjenVQHzKHBycA5nm3ctLB7ix5rek65/GmxiPEwdeW+V2e+FUTriTcdU3d1bsaGZ9uqyAtcj0A/IuK0czWc3MrJBJ40xZ3ds5c2PQebOZuyTylWe04wJi/7X3ZTx+4DnpkY48zJ3ZqgqdiJ4c8356gP6+pn6cY2t7B/7S834RiQO5kLeU2upCws9H7caZ7B8OMNZ73fMEtEiVrKWVmOlFv/VGf75z15yBHrVmwgtufLVYGrXfZvYqGWzcBEokkAPr37MOJOvhYXNbnc4hT4grW9CJURNI43FLGooYINPMisn0v2wYmxMetUMTvtY85H7RGI45nPvFTyP5y1l4MN84ja2KNe7JJaheQbO6ugSOlMB6YYyWTj18Gh+74WhPXt4v93M+H5tg66lVuxklP40LF979c/Ig/qudy4UC/hLPdA3W0yr9+uvdrv3knn/9r66rgPy5Kgza85Y5oM8HZWesB/yAfOaQq+llgedRgv56yvGwNLAeIT/1J9D7CU3WesUv/dVXhdr9+n2F3qNiHm78/p4yfDi509cJ0DQtPq/H520FzVrBmvcFxJYS20EWuyx3lj4JW3POtMchn48Wf0vzdzt/vrt0LO9mJhfg8yu+QEFPP5L2sK77OwZekhlvZgF8YEWcWOguHYUBFyLGUIFHYvblaS68jzPknbPevVV9v1LaZhU1+758yDu+KKQX4PaIORM3Hmqvc1jA2IAVyni0g1Yxe12bVUZTp6KdVAHplHOwQff5tVA3aX8+xX7uFZcJD42/KzDk4LLIsLk3VMfMRU/j2CyE5QJmGc56w0K/vuunNj7CXF+lhfegZSLy/5i6tu5GeWT7l7iYrPgxthEYGxGELqA3QF7BIDCxiY359aeU/pw5D71mpicdbqpde0tVu6z9SnbjShlfQL53kmyNuPHKChUTbBzq3ncrhGccoixutanZuxfW+5P1+MfMRaHiAlrQ82MdP7ilLQX5+r9rWScKGrdFwO/wo+yalpp+O8d4z3udCi/ziUV3/nz3zBxn2Y+ftActq2vjL/uWsMdT7qRNsuki6IbCGs8gDq4Z5DrQvjMN7CwGrvPanzfz77IA3UGze1UfSdCwoI890JXxHbiORYZxm+xUbzymVUuO5fndjft4hQPjv2v3RwvtVfvl8eDixfbmUQfNhi6oLX2t40E6kkYv3LhXfgM8VhqW7ylb9WxXLNlOvVH3tyefVjvdZ2ZtCq9LxJjLkCRmpjxjcl91qwV+RpMQMCnE+9pZg27fA35bd3j3vgi4ppb9qgkkNYNktquB3+jJaOnj03hIARKe16uDW7ig8x5Yb3zabgrCQMv6xM+o5MWi/dMgf/dViUUexkO35CpJjHfVooyf1UUF6XwK/uaA7w+O/OfpSZXx9CyTHX4KYcfA92zAWEr7dUesCYt+7nCuJsmbEjDzjeaXf2elHPjGP98ejnvTd45TOUgJWtsueutJ/fG1b7NLIFdA3BpuAhJexpVWt4P1taJajaCdmWQkzyxPxIZzhOmqABWbDuPttCPDr5/JoPZZ4A2peL/KXVRWOV4xM1vWjUxP8L5o/3wPJuD+Zp7gAfj1wbh289BfCCLXDLg4Dcgzs6xFduoJueOnEPM3cbWZEGjxrsFSj0e2IynxkQeY23O3s0vu2ypvRmWtQynGWXTTq04PNAVCFZsehbOyyu07YAFZYB0gLBRN+SjKYD6aWYl1ALzAjTo+6B/I7UeGYI3lymF63Cqtywp4COnWBiMfsHaGzGkgeaDvJJCvui9HiulSidiFL7qphDWXiEyx6TET6A0HDcEdNrWWNvBZMxc5EyG/VDZJy119T83Zfajv9Ln2pT0+ZN95pGNX0B8g1s0snPlM2+LFRSdu9sm4ZgXwDmCuVulj4E8zz3rJSX9b1SHxit7036lUmNl4QvaYylwEcqGhb2YVf1eLxL9z6/qLS3fqyRyTcy6z2MnrqSWva1HcRS3m6JkFM6kCntRUeplWn2XPLzz3bdbd5pjjowCecsqVXZtZ3CGP0gUZD54MeN62XvRPgviA2wby4XRO+2JV69/Zi4d6QH+1IicGmsknG8pmXBv/QUpYqfm5aKM+C1KjRz3qgM7256foaqu0idnSO7JOpRVXK8HlTdk8zoavORWzJ7rUqgIzr4SAFt14df+q4bwBBwDezg2hJFu5Q3FNyVRbqwfJgXt2t2faSnF0YGU6yFPA2ynFSdFjQtzoiAfDtRWqwo0Wvt3G/ogqZ0ICFbPc8X1Gua6GP50yZg5/A61BmBNtQUdAvueogDUAfHFO8s1bqi+A++lKOpETWx6sgW4BPXmHNTIyl/8QM0cgVEMZwn0u8hCL1OybS7h3HffAm7P1a2/5uzJ1UcHcSQc3pNXPMsDAreYL4MMsNDqSDj9jTs6FhWbs4J3Ziy5c4FJ5YWa4jsa7pXb4Xv3O/NCG4+QH0Os4WJsoseJ2/zonKuMeH/hu4zIB9++Ph7R7GI9XGptIaVVb28j0uMbwfX5nB2e+8WJuBEPIaIvLwemstGuMh1eg2JSloNhwGwH2wz22gElL/XqHv3PXC3vzU9g8xy1ke+4vVYhQ3cPPLrjNdh/3GinAexVTMU8nznXZAucJ/RWswzAOfn1097AWVqVLgloQRzC95RAf3G0gMqPXc0GeGX3QZBPvQPs4tSvyj0UAvxadOpo+DragDPg38Kf1XGXvM/DeTWWjC+dRk5m5Lou8sTwyXiW3IicceIc4Cf9aO2ZuoBQx/+O9Zn7YfLAeNvPXoEdsBz+N18HeOjjNXbImZO2mE1ptK3N2Iry3Qtzssm0+IZa3ps5OaM2AsxxJGHnczMMdEK2QfhC4jukbwkP051NRQT6q+/jOQ/0J2tyGfwM6P0qMbxmBHAs8xqs44JfbfJJARUAZfPWc3sQAuplHz2JgNu/47dStN4mvB3OmWw/Al0GDEio76rzqASbTUzOqfu9Uz/VSOYqVbLzJHNa18SEVOicubngXeTJoLrFVe8rXErDhIVAT0lwBl7TPMhi3VdAUmbshmdWQo2NmnBAGnC5S//PiTqjpd/UBb6jSRH852Blt4th7ifSVI2J056504J8KQuiygY+nctBXB6o7J/bXPg/JhvDmWGqsCXBhgqRITU2A8WxCm4K3f3PAPdAJBu/upt6awhpVvX1JxPzM+slNTK9Dq1jVeRGsgyIeyFkMfMvayAPe1sV0A99TzZjWNl5q04NfAmYx45Fy2kW0sBote/3yZolrERUyjzagf/qU+g7lX6ss39wzmws66Lbm4wGwpy/d6Kkgtwv/18vP9HXcGcQjziBNhag/uv7K/H9i1zQl5wzW25206Z1q+eLz9qk3fnrzCjTWa77aAyLtLqm/wFp78h49BY16Fng21x930KQptZtvZemD6B8rCdzjdF7HQGlWRxsn2EF7AjELud7jrFnFQ/rihwJiBZeBBL1s76od+madt2eBnVSC3+v+y+JWAzmdmx2mp6K1qR3yyXb9U/rpcrT0b52YYmvjewu4zgHR1jGjuGXBJDHlcxZGLy/TsOr3V9rKMdYEYf4xs2B8ZBAXZl5AyiKIycnM4l5iJj8BF/xT5wnQRYd0+LiX8DyckSOgh53kY0a4nmtYi3zg/QnVCw/0o3TYCzcsyFsjthSv2GOOxdRWnaYx6CfgyiJj5txYO5it7xUCXR3gH4F8i7rpUtLmyBk68xyRsgce0ttx5diIsHk4LNgrtRJZF22I+3etATRBR/3iWYXpQwUrD/fAqSm+x4Jg7ng5FfpNiZGZWmgA4RJ05A+3ilkMytSkRKZXMdbK4y4w8M7MzRxD3L3fFeiPGm2Mnnr1tX2SnfqGtRnTNr3CM26M51Zp6Rn45aHufA8wfs5cuU18fAQt8obt+mp8jOO8fiZh9CMXnbDz2ge+c4/tGHJXsToFxR00yX8zQP88095Ou+Ka0HpRHdcxaF/mEEYc0CE9AhWhipqr4GjZdt1P1tEe9wd7I/kS30k3ecdFj5mwD6nz3xzqFjuqs7uq975h7dzL7drh3fjKlcfUVhEHLSp2KMgGTs0ZYEIjj/q2yWtz2qNCmZl8PvmUZi6VNZsesoRygk4IPROBt6Znn/ce6CDewj21R6cAjkn2coevcYheHNvUxsE92Gnpk76wo4jxaEvY2sxPuwNecXh/ENMyBr634gLe7cCBo8eWycMkb0ihZXMKZJcwgqlQVy7Uvzli+eYa91GYDn/1UW9mzhax/Cv85yUFbVsF2ipMnQXkypKmrqnHkTkGmoILGWBXohjwwt4nYj0S3/dKvjf8aAvrMS6cm435ZQW5ooP8aeZcxsRav9YGk0P6gPd7YV3nCOAKZPjtKz2cBGgzZjzoNk/gD7jSqZcNGHKQFBWSQ21Ht0TIPc7jZ6FVzMPNN2HqEgfMrtHXVYgvV7Tofgrmyx8e0ibMgPsVtp7qThLe2VfgEhMZ8L4aRhvv0B333crMpTB9dJWlYZ2rHWYyToEx1KJ+QA69pL364Tu8V1Q19U4hzG6mcv7AIUZe3AY7D+OPfOTBzab/9fkyZPqucc78pk2N5uGInQJ+OAU4rh05YB9vCfIf1MwaodGq6I0/HLZKFwPvnUfjmXiCnGF+X7xrXuewKdxLArjr1m7sUnf8IeGXTXLSxQyDgDP7nuSBXWZXXIepOZti8mJ8ZIiltnFASuHvrYqpVWwRK96ZukAu+AIx3mlSBtMnFi8PkylSbnSHnBcC37lC7r4Ui3LjLvrGi7ZjZ3Qzxn3Qrbck0Pt4Ufu4G8+/dT/+qCVTRzlA/nFsCvcDz7R6xHn36/1i/CqZtbepW7xwnla6MdcKaq4HxQDFex7+nk8xDBiObxD/nQCcN34j1FnTeGF2xqIt8M4OdKubiGgrA/stzRtZ201uah0zjrPKSu/sPOUJ0i9tfqwhZpQFP2/OrEJ1JvneznKCTZ0BfB+HijEwZ0lm1lcZqHNF5Ses74lQtsB6gXdQOJJiRwxyX7qXJ3aAH5p9sxa4Qo8swJUX30AHu4kq31phV3vYRXPNkJl5cAB95J5MHQznTmo3DPiKrXpTK6hWlbW+ZiK6JD7kSu1f5cK3lYufGd24uLe/AZu+6+XDSnZcH+2/eYgzd30XaxwKTfwsm0DH8399oKwpQNUNbIg+C8e7ZEvjEPjfaYd2rGsWFawTCmsns6Rf7varzNJnvGsO8Lv9kkc6DhtCdlLXQ/M6d5il6YHcxU+6RIdsQXPpePEJ8LayQZKJ8SjtzZmbnh6/fp4G9pBd1FXZZLyDBXBU0wOpQbOcT/mG/1ebT2m4aWNn7QgUO2z585xpTy26KuE5oreucdA4HMnY9Almu03B2G0WDB+EHnsze0HumlVhf8wpjSJuR7vYip6YrR51bnyKrPuJN6x0CuMZ/skQP1YItHPvvWrM+tpBoCGNn+MEWDUNxUBsaesAUx2XFvousrVd9DpPc/wJ3GWqAmn06Q98ew15lVdtxGGttgq4M/Bi8s9PsVsdn9OPok0H2uZ1Rj9UOXZAe27g91/LDviD8LC0VSjNzCV3M9XLZhLtF2QJ8uvbc3iuHYP1NY1daWaCP98X5r+vjgt642EK+Zm5dPh6YN0EoP0I1uhv5vhJIwa5Abi6Z8vO6xmwpLRVb4ABVwVrPgt0VjkIleh3Flwm+wh4Vf2I+WYp+ZhxwFsz11vpi5v5EoDEzAzwck6jCw+8tzr88/1uYxqFZbA+i1z+xDu18F7j03BxIXdtj0vnEMHb3znrNoHca+ryzZyndaocWarhA3jPbPzgLnL4mE+6+cxCPZ8YcLzB+C7auA6mv1nPp/O7R4ETlmaOds5Xpd88qQ3qJIiuGBaSmREP/DI+2pDA+tu9ppu5Dvd3siisLHtn/ByVHz1gPaaMjRdu5qAL9QM8i5V5A995fPX44FTovVrgeWGt0zwKAMd/0g44Kkc+YOHIO3IuHVPj0Cxp21xPaNPDmpuZ9W7XC9qDbimxZUbkkWvlA6uHnAHYGZv5O4ADO4jQ15lUWCIJt6K2opNmDsINeI2Z9eVyQP7Mxb7IC4OLI2Fc1rnmFDGL+TFwtohXlp0wKxoN1xMhTjFtCtCod+nUVmw9Fuyjjgv5qsd+pFT6J0RS1TZODToPMKs1HtWFY2bS6hRyGALNRsjS3WkAGkWoHdm+P2q+mWhOCuBVtgJNnKHNT8mKOTb773ycQAOfKRpjtl2/OPbP0VWsGPYLto1fPyGwRnTpsztgu18zkjBnvkA8yaxv3FPI98ox8yyUf6JkKk1NcNhcklDGoE+56jyaQowDZ/4sQzM/Vg6C8Vd86WpIIRNiwkAdmJm5J5SueEAS0LuMg7bh3HQiYVpma0CuiaQdcC3f6yH/d7WQos5JUC06lHYzJ5w8uQat3K/NLFcvyWUH3OBV57CT5hxW4zLt+DZl00WiEXR5lJQu/1H9u6Oo/IY/Wg7yif39bHTtwXgQD5yAhnmYGafAwzfCh+ew40X276CleJLmZIrZOuG8ee1VdnQgK7O+4N1g+MnvFDCLWhZoFW7OzKxCs5n0jenxKQ+AHtjCq7rVohb8gLtGsn5EQph5ZjYBnZEWgK/FYn437+vu4kmNXryXAPa2JxZZha32qfvxNLOh4Z4nasUrGkjTk9mXWu84VaWZWU4oeqSuSmtOfmoHYqpbZ0VnT3gHyZitzDybgLkoPwlMgZu/mZnbL11ZD5tjbUtTUz1XvdKslU0dgMbX0RU4Ea84fuNONGPjtwlYD7wQuPJvvfwnGVQIfCCslmbPls0ls0BfhXihKJ5VEB0ZGs9k+Yuvp7kO8ISythFwvobFsPaV8ZTNJqduCwfwyQLSW9BehXxB2W8fovV+jV3+Vi3/9i9ErhE8T2L6pVUXXY4uT47PdZQw4Gzb9dtrH+C41FfgTJ+g7wjweMg/Enigf4+txtRWSjKw56mtnwRFDC/pVdDOwm3xjJ9TghfsJOZMAtYb4K2XOsyBPHz+7zxtkC6sO/6ax3HzKOBh2YKuGjSV7YeZ0bMS27Wpg3tADnLMORvu9LWGv69zU2v9mKnpGW0bAnzGOVr8CPH6k2nQmr0ezeQwM2e8Rh8rbo0H2dUvf9HwaHkX3s/014fMtwXomzfhg+7tbr9naYXmoLsUaCqzDvfPk+mnNXWBwDsyiFvqPB5STAnk6u7oSAbc6Zzpy0yXzSpj4zdg8KsupYD1bJ22oBPCGnS4d8Hn2zWBeKl2aBv/etF7i/GG4DvfrUISUn8GnQnaFF1s08uSUTN3R924LW9F19lHiJeKfvzOT+TGh6PVf/1fyU52Zac9SjcJQ6AYWgx67rKKXcQErEPp7C0myAJ85gY5+o0CL6YadK67+eQM1hnkb5M/CsN5XMBFF+3qXg0xYHqGmm3B9evc/EE03kLu2HAfge5XRxaoe9rhAdYVqoPonFnTA9vjkHXeiuwAuSx0FCECzsD71Jkj4HAzE/qCA+mo1pyJNQg05RMvJC1tvFLuC+enTeVMOOseFmGachcdFegr6aArBS7AOws4xaZRuukhVp3UIkWCyCNzuE0t9AM548Yh9/MARydzHmaDtmyJ8ShjoFsC1SLz216eTkd4h0fIfQsPkNE3wEXRVLg6MbmycPEdNDsvuSRiJxsTp9wGdcdlQynoJhbdsCAW6LOH1MymPXx3a4RvufkBzpBnS7Q7ib9e6Tge1DPxVQe5yvh7f8YOyDTj09Ov7sBl0ribnUTcAHPni+zGJ+39eyJGR/DoLeXNCJwB7iEKKvFlan/eCgacypXPWkdHwJ6i6v9mZNhHO7JUy0xNYEQdviX92EvLg++dWjSXAWipLu0ap0RsNv3S3Oa2CKO3LFubs7u3o8PMnPf5lPPuNMhvAdri6BIe09gGbDBzo18a9qfoJC3DxmYuOQMG2cDL76JNgaW/g964ASe2fxjam1l7G2Lmc1F+w8CvEr5JjTd5kl9cZU0ppcDtHfwjAnKnLt4T4JuVYz/rbv2qq/xMfGQZnVvvyE8VwN/p4iH9kZ12TUEsjtKhvoOec+XZ+P42P+Q3zlJX8uaBs/c7cGWtOtXW57UALS95C3ku3JsegEDkH7NA6sVFf0rhrQ5ufAcNgUFfmLmQ34W9t02/HunwJnbwG2DfI11kwbe3xcwngnz5oBqfS2u8x+J3jnRbhZtbIuwn7/A1Fsgtww0CDfXJ0d9sOAZ8KMHmHAlinne3hwzl2WiLqn84mXGSDLqHek688muvsDce3BKXYVTKAEOc7T0xxG41gJbx50UBAy2sx5OFH09sR0OmufP/9m0KyDlZwSIf++RKd3ILf/ZFbzCAiMqJPkETN3W4CYwPsfEnijU2fpfmjAqp3a8XRZwF66UKLNAYo8TDZgDOvcWtIsTVKLP+epd+2HOaSUiMx1oshFfAt7W4sK/Kb3SG5A9eikeMdHFcyL125bXcQZ6gyKm0zHi4kZUATrj4bhxucH2enNLXrA4vbiWKO+6Le+Xq13MZ/7XfswVMiQQeoqk1P8h5/aNavCLMPlBbikpIwDEMpFVl6RJBHOC5EDqtHNyeunVRiWgVA0oAr4xjZtvVTqM4GH97C41X5n946OLAn0W/8o72B9wL39f514M48wIa/lO1vEuCryfOPx5ZLq3yfPMylz0lixbA0E/Qu+darImZq8rp3iELxK7oTI/9mOTYLnd4xdz9i4t61YC/M9+3eHABDfLhKuCYcdvNxLcfoDPDcmko30ma5U2Z2Qz0nC5St3me+kamVu2KDnIlbSDXslUi4B5a9QPx8x0PH8Dvp00t/nxg6MGNIO/KtA5GxlxYA7pbEmF5dYB05c8r0BRnFcyIs6iDvAMyB1Fs8zfsRBG892Np2UvV66PQvzN+ITajHXOA+wOWQ7bYKo5e+/NxnUfAe7XxMgsBrwAXI4EtDvqumA8L+jn19iETDSUuHguK/cyZYN1EwBllrGDdmZnDpfid89PTHU8pN5xMHmsUgf4rnpWjX3V6u4zLHazNI2U3S+l0JQLgQgv+SV1zpo2erN+D4FnNBGkz3+dWmPkqeQRxArJdyxXkPZzlG5SZ2T/WxEiwd8vM1EVys2feim5+nXEEtJM8dSAP2P61suBdc/SduvybUdARXYRiP7qVsHZVeLkfAO+OT+MnDrm5M15eHN4DucQCX5SY7yonZ4i/S+KnV2L6QDtll4N6nbUx1UbY9JOf9MdVGg/RRX3LLWheUG0M+IK0N47a6RbnElGrmbA/Efxc+8Yv6+hqF7T5NRX+zJ3uDrwQ4pDHsveiyvjfnqc33v/V6W1OYt7WrPEExF48FHDN5htvpzTZbX7roRizzJnPDbcmb5HNAdST7EG3aX2WwfpWuRt4L5MAvkNNH1Dty7EyNXrZ9F22kQff9NUz0rJBcdbLG+nGoFgieqKyqJbiqvqLhx1eAAd/U5DTE7bGMvB60BN5AZhBNPC6Ab7vgAmsyX1hy7fY7WbuRhvQg7e4I1K0RLJFv2raR8gJv7V6cD8pYCWt+jknA3/tqzXcmQ6g+z8PLvETRkiMNgvk6pAgkiRI33Cwzk59dxeAI2KHcClubuwULjDx6ZTLVFD9mgvzLP35TOj+kQXaMbPgCqchoEGHzLI5cHw/DuyR9dM2g3hNLT6CwrMgHl02fHj1Qr4ryPfUlZfDEkFc25tMfM1lOF5LhNqaeTkN/+rZUuwU9gld7nWPehJGfozImThTVjwnUVpm5rHMT0x/x8KaeTddQd9/nxgm0mki4IKzEjosB4SKTkXANR7GRxu0WZBZDVMaNVkwvb5Xwgd+iZk+YB176aB6o3WltcbExrtKRyIT9o1RvYKncYtFviVIOmSH+irXERni5dRGpu7zzELm4v7mcMBO0LzI9H2V/spR7ouLTluzr6FsNcWBlwn0Zere7tWucTgtFg7vLR5kb84kqa1N7+YDOMSEB3UhQ+PGPtypJqaPFZedxEQ3MuHxKrWwKIaPueRfgC/vL+wFzqWJ2jVMtlHIzPwNjRvQ1ZDH1kuxaLd2MfDZxqv6FejXyfTN61M+Ah//WFV5ChiMv2kYL4wzp9reXMlWSxngQ+Kv7yQHfeSPL4y6quFiYvBQBeMl2a5ZRY03c32PFzNjXf7OscULs0+BLstBh7H1ZQFODSzHw4lGjwQUoPDJd8qMV4TaYKAjzOx1ONMb6DaX+usX7zU1cKvaePxl74B5xMoC7hyd1PhC/fbicSCx0p/H0vhlD4jXLjJV6tfaHR94p6ej4z3V+d2u9cap+3VkeGlm5ne06jPlH4Br6lX3hXkAODhofOoa0ERzGEM+PGnuZlQi0FsL8ac7aLIZD00I3LzPOCLSBZ2QMyuBdwi64sId0pBFGU+5n9gddydmDxknb8DIDxn9m/PYpXnqFRx1oBOAX15WvO0c3uMH6OMV5Q1gw+UJnG6FBf5Mmf/krs5/Z2+L2WaOvT31lidytKl7T1PQxoLN1ok3DXDjpgq/nieBXrWpZx7YQW29g9YAKa11ISCvAocQFBEQ+95S9P4T+NNUMLKJfQ+0QxOTISoVxRxy002yr1Vp5vrwEfT95q0cPqwacj/WDOLRDlinXxx7FBrtlCPvKZXbGvJfzMZjIbyy6OessjfzwR3vlOoJJP2jZAU8Y/RTQK4iQk7c3l/h50qc87PprYJ8eZfBvPz2VS9SA2+U3P47X74wvzEzMp/4eXNKS2FBeQr6yZN5fK8C5daWZcN7h3xI2rKrF4b0KF2AIlqsuJbGHyUA/tb8ekLa+FhYXzOs3xLwZgK+aPbZXnPA/eMC2n7hZs5EDmnIMC9gCe9OyhVOaNRXegyz3LdPtDH8ALiqfhMtYI39tZjzX7zUKypsM/PbnKPdSvph/EQo364TYvIU5MXXXgpw9Qy+0YVCLkp8WG8hadhiepwVxF0BODEeiGaWBF116iLIX/rt4Mqs3knH1Idzjne/XpgDLv75bRSrZPfhYuCldajIifEXHlo0ZBbwIl8+p43Z76q76C6365s8T1kF6x/ixjuhSNa5CpNQfqteb+Sy2VWWfGYL5KlcAw/0rbQnrsrre8aivDZncovxUibo5HuvGhi70vhwEviW6XGCXPgptu9X5t9mbmGPMH7lpgfN1N/ANxadCtMWdyff/gatamOk99RBh0JHt9RZZ+m/fdKo8gE8OwX6AnkY9MNrH0BSdT1Y+CB8DPHVYIrqZ8WmvRQkrdrmCusZ7jlqAB/f6ufkpkvsMqpcHCJT5+hDnEBu3YyFsG3IN6Ye4ww8oTdzhirmeSLAr++FalYD1+V2GRBQbOzBKfomvg+6Bv/EVF2MJwbr9Ta1GlMz8gk57gHaYgZ82sk+Knj/vlCK9AmYLHCqt7gDbtTvXeFP38UgfyoHvbjNU/rEK5z5gruHVTrA1RZ8puYM4TkdTG+dmSdQG/9qoT4hXhoT72QYbzGVF2a9W8oiVj1EvG6bjOnmLq33Z9ETizgp5An8+w1etSI16O9Tju/Z8tuz818dnlxhKrtMzJDP+KwC6wm5d6zZmGVstrFj/Vtnvb9ipobJ/eWLZRbuHWZxXQ4NBn1GzP5Lwtn/mzXmDey5/ik08DsnuheWl5S+f804jxggdN3b5gyxVYCHRWeH0pwJgS6JW+5JwADmIohDfzlaqGE2h08QJRATT9yBoNPkJjT/m8lVgo4jluedGNGJQP7B8l3pr7+Vk15piLa1mbPXa9M19cN2e5f09pT1usMCfZ+61TPu03vMFVdi2qd9k0n4/tQdJXxjbt43b18a9uYoX9/SfgK+jDYJ7awjsC2zA0YDssmYZeYV/sC6+TwZvp5H8I4VpozwOG861krQ6PC+OrSC9/msnchnIjqIbozLHQFU27sJVclrn602J5e9mScb3zPfjtK8mCmTn3WHtAzRHjisk7ZmVgyPuUAz8DPTz+PLHPeVXXj1c70SoDuYWH+WLrJAnz+ZP2fc756Eyk/jr/LKleZcF7DX+E0SDPdf/8a6DRqInEEn5VKnzySPDidTl+1yULRYJzl/M/MsMzf6Bs0ap3zvSYE+U1duCccW6IYZoOkN8sQe1Mprf+NAO+Ch3Tonv/uBoGnazSUL5jPkJtNnCvwLtKlQD4k4B12yJXbsplbsVr6khaUHY64Xd00Da+IZs/USM/UjQmTxEK6P9CyRfO0DJNSNOHCVoqa6r5nCmOKnEo9VBe8C1lwEa+ezRPwgQPPwYTOVAawTB5XAUY41m5YacKcKHsZX1/jSXQ4uA93MVnVHfkr2bh2s/Z9/FHCaVdlr+7gwq7JTu0TqR2k+lDYapc0PZagPhPl2hrAsOnIBHZ0pd4MqiH/4xg9T65WEmhKOdsBlIXfXdmzmUWjlnVoekz79qyWutOq5i5eqwzs2NKCFsYV94pBgXCk2HWPjD7er7eK8BjxazRhiQ4TS+Mplccjj07BpubPe1jw2XvWTtKMtCXVYw8+egKImzHvx3iFufS/t9Q8NN+LU2WdgnvI04Ld/9ZubLFtQznJ1Sbv19hRy++B4t7i/zRXd3yGHjVTA1a2pyYyvO+J5bEWL8ToDxn1V4ssu/b9arAP3FfAufefAv7OdXuJdfMW/81e4zqwxqFwelxS/Gf8GaWaeA8fOlqbIIEcm4d4GztTJkBkfhDPw0k1sAY90cZ5BLksdG7OWvc4CnGyn8jgnEjhCKl0VAbf7Bt7aJcE814KsFEot1iuSMk1ojhIhcADXyqm96WV4WQ6WHv+bc2H66u+nlpg637QOI8jxPKY5f50FAG6oc+3/844og5Vj+ithrUUZaMPMvTx53q3gnR+A+2EOGh14yA/fsWuV+8BH96D1vZXqU4/0I0ly3cD9AB+VkZnvRSBMuP/ynp1w0Tc3xsgWU5KVXfNd7uQNvoPOAtkb3c59DRjb7FL7l8de0vP7CvuoNTXBJ66duk2vRlfEWpke4Z5s135s+w7umgH0s8OC9atXOorpJsL9TItuNP0b3tHe+BnwKAEc+bjom+neoqYORGgvQXhfD3pfmg7VYXMR7SYGQX4vKQ/jMOpju2lKHw8035CYRn7i3x7AJV7a4de33vTlYGGbOdwBp5jhbv2sBboBH4ZrYzOziIM2XUHOdxUnvHIx/M5JJkK/mTnHROAsXRQhjizoosnR1LjkxvOHPOFar/iKM5/7gA1Iidtd0eiSiLEVWqbUmt/SfMQJ+lphC7nmLEdpbZXL5kpyFNaDb6mBuZWpx+ORl+koyjQ6AuewmU9y0c2Ngnca07+10ZoZ8pVIHcDxHYN4Bm7WV2EDOuh2T/z32WCztBSjfERq4StOu+vR4phaDeQv4P+B7E6who32OzjWqhiA/eoGMVijPId46sbX2lgU58csTK2C2XsR2NFxAb0KvA00vwc5MwJtM1RnWMt9scLD+Iafa9PnvKM2vh4diEVbeXG/cjGNAqYlvFe+YWYm2qBG4xVSWPi1Nramv+7XJ85HsRjiJ2B3J4FHp733HdPaoc+1k7WcZS2JZBdfM9ZI3PEn9se7EnurdGVCgKdmC3tki/6u/PWTc2ne46EU0RR33gs3mspFZcWjK7fkCngP5LHJiTs7qzr7UbX+woIG4m0qiaUyjMaDBMwB7rQIJCMMMow7HeRG+wg5aSfzDSiprzt2GsDjzbnIox3w2ZfX/R1y764KdJfxaMWXvXcSDbC2tQReDVpD3U1vOmceYMGmPDjkR+6QS4AJx729Ag0/YQFLuJ8+Y9/2mQsYwpqLqZlOcmDZoGEO1vzSevRE8VGiqOM+0aU/Hs15frwAP2WkryCXw9oWdWDT2p9RxZSgiypBn/mgNRBjY14bv4SAmzw5KdCSp1D+yE4FsLap8X2Q/l+uRClHW4yaLf71i7IfuOf7avhwpPFn97muBbtDDPyInDxjFKXc9xfaNn3qqgE4gKmzXIDXzGzYe4UVYULRm1riBWJ/SXslMx+/9nvdwuIXKVRLLDuB97TPrGY42Cg82OmjsE2tVePTltDMacKaRUlMAQt5arwW3hJx8Q6L6rD1WIyvySlA1skvLHjmH1hzRdyN28ofX98L9GD0TIIxBjyyQCPm2NcD/LkaHx6IhOW4+C7vZF62pt7dzPqAHE8xhtx5UBALFehxUJvmTOwzyd5Bs8Wr49IcAatTxTdEafzzh/PDaCc+wpXl2aADIc9JN36+w3XXA+9mGoeyLZavVZKtIwq/q/TfV5LpJ3A7F0JpOTqXO/C2XmpUFIIYPWNmWtjA7TpgaF7We6/zyn3Jog1ePp6smw+ZObfouW1qyxWVDw76Og4iWvfjnYt3C2LD7J91MeAftQnkwb1LBQqB4zq01U8eoDmzG7semKOYhvizvcxFr7kV26Ld/KQCRyQATiyMrzrWGfq4K7/x5CAPvEMLyxsJ3DjgS2PmPbLU4LHD22TX2UnevAEuethZ3eWOB2knm4OL4P3jbbbggtjji29oyJ8Pg+nKePMtaAXc03iw2DToXAbPV1BAyh738E7e2C4y2A2cSn+SoHaYxkfTG0gtWWQ7knI2flLU3Angt7S1rENextbjda5n+sqtyiHfMddnyO8L0ZjVvopw6z9P/mqVcWmlObLxoKLSJqtTf1kdHRWA7l9h4XVVj3IJ+Vmy+Vy2e+/o8LffWtXW1IBGK9Ajr2vlJzHlJW0Is1QuBOThNnVpgKZYyHPmmnMc1AnIg6CXXGZFlwzyCqyB2dT8xHS/EiHfAg8dgZ+6NYrIicOzcDyWDsECOF8d4teZ75UgvWCraWTAZ+PNzjv1E/fom4cokaaeEdY5HmSucmbLwdSJG9wDfGb2pWAzAj4MuW8qEnM+DSu23n25JfqaafvhVlZxF2jz0noBC6M0dkA3UNDT/epRQh6Tvk1S4TWAf0y2BJ503Mu2W0hPAuBlnhK1XVF2xy2D2J2bAnKIORMoWpWWFicgZpmZRVhybGriX2cc5e9ZiJiupbAps0eWdebchU/V7gNiaRpKtIkzZ4J8KkFXTnEJuUA91y3x5S5DkeDCa0mHmTlAwnwjYpf3KohXJ9oAjkRJ2o1/e+aVjT5r0CIU1hsDjmDmVksN+W4BfFqAb2bvS4KIy8LOzZy1SF20GO/hU86fwLd+FFuPgkcDFx2gIGjnRWVxfrkbf37glLvD8vK6n95OoMczyzMzeHyxa56klW/UwShh789T/693FrRmZmatwhqfC5topSHORO1BDt/LAP1kwvSFFauyZa7I3j3Vz2fQV+Fph1rur19nvlqKvZ1m6zeiv+7Kkt+AYa6yEGYhTqWugddOWZKriCwfy6m/PTM2plKsXWFmPAxRZvYW1AAqMLjclUti7I5uKqaEIB9+3gOM/OuVvlUhsQuBITaa5uisbdWqXY3IG+iTog7wDvjwkuRfDuQkegJuVLsj6GObSnhmwcefahjh+3eW1B/At9Q3GxjoCw7rBRAA4ujU4Zef3jN2PIt1CNaiF6sF0p9WS/Y0cxXmM5Cn9mhp97de1NKl6rxWBfOt2qmgCvUKYn91sL480PT3qouAuxIig/R5XAoHL8rOXP6JW/5f3dfNwpCTsg64nT8WRf+14PDySK3ZLQBsii6y4wDiFn24xP8yXnStooWZHWKVee3JUN1rhKY6l5M03tt9vYDm2qWMP+igiwy4e9nZrz29IjF9cGHkABey4Ru/ca4706fHepxgeN4TxPS/2ZkqUw4+ZJ1eCqu5GM+Y2B9HLCLQSeuZWL5d+2spQS/G1jhUwVpyx3eN78RLO4g2MpzpkOagLVz+VP50rzXEWIv6lMJ1d1FU2B9WZbxoerQ1Pb6p1iscePcq117RyRLe6cSc+ipBf4ImvJRIimqQFvMf9sGVL46dM0tHlaVkrTdx2qIrF+k18aOdGmSasWmjLNuXegMc5uspdsqpgbceXdCbg+xA92ngxEA/1UoE8GZ9dYN1vWIC3vMA7IKPTR3MrzrYS007D7irlex0owJgqc/bqtJYGkctkt0syfGEbR6VITpn+VjEWk5HC20yP3VP3ddK8s2+Nj2z4W+Pj1UZ72Dg+aA1vcr0com/5zKe/C3X/urUStAnZMvEdIG/g5ynvdR5n3FvfP7nXYyMFyopqp3Zpxobafp8+68r/Lu5zj/sUy+9muP4hMgBGw85Bgyr1zOzuhfvnbjDrsRWoaIqof379STUmLEoxW4DGgLyLlV71SE/c0czi+3BgEfXjt1Rfnmonh8qoY3/3k2c11b6nDqWR8dy4PhXHwr0/f/Ol8sUlOhhaeKETReRb4IsR1cqvKng+J75UtRwvcwBLcg3gM/yBvi/Mn4ddavGSjffdW88ZXV4QsZnhaMsW9/LLuJUkAHne5vSzWtGvC1Rc8POuFdMfiY7NZ7C6If1Yw48/1otm7Dkyniu7tmOrUCrrrAmrOBNJtF+JjZ8F2syvWyW2UOSXVPUnTQeURgjMpW5mfXxVysyUTFff31FWp6CHllUYHSSdFW2Tox/GjxfDHg0Zt06oEi2jNkRrMvbqSvumBYedcZVbWod2QR4ML9R9gUY6mHgfIL+1vL7r55HRwp0VgI4Fo2vgBX4BJoR8uEPhrxXW3sHePSQ5JLX53Uiz+/XavdlSyGBexRzQnUitmv3BHqdsXe7pqkDusHPAtDE53WYwT0IXb/yF3D1j7t8/tZXLiqMn9THW+Ci9wSuDffvV4v0imz6ToImq/zLk+h6pVDhnSg5VNm7ldEPM2vC+Iocyu27x+Hf0l9Pex6Dvi+yLn1p2J3IUzNj1stAJzHI9sxBSQUMgjsPG9ZKV9jdE671ac6D4IuYnH08adWcurWX7LBPrbVf2xw0ADyT9p1UrPtkR/jBiXzhpw/Qqi8v7hXjysz4fDDLWhHE5trxl2wXfYL2cUA755n+sDi8V8Fsq9T8CTkCMBlHRfv1W3eJLcDcjo8VasLM+G79ev/9044ybPaZIP/bP8yj6MT4RQRTUuVf17RtOr6k8F24ZXQBseQEHEyKXjVlz3/5O+TiIwbeyBYMvCtdGf/iypdHZetjBQwr06pMl80DcKHLsil6rY2KoZkOqKytDt599K2QmpSWZ9PrCPqaxhRyUv/lggZ8ZKHKJehZBmskCfdXOXQP+K5upeNHIcY8c1CpeulkFmrSfm1MEL8F8Mm/d2jmsC4b0HBkkM/JrfvaKy3g7j6SDHIuxCYXKF6RHIHi1lvI4RHjxE1dadeOfmQ5HmP4bwy4IxVsBfB6lmx8SwAvY1d+l2K8vGIZuE9S+4Alu6alobzX+QbWMh8qhw+nQI6S8SfhkSv6tdEsFtlFAfDDJRbkSvzHquq+vNre3KjFV5kmvrKlb/pHKn2xaPf+gH/z+l67tGv0iWoLNNCn8eugYpqk70nhAz60eD7YJAEN1YAuns35bIXQXAHXSOkmIwugdYAOoEmSqvNkDKuoyhvNwo9V2d8eWOic6fHVC5OqfroCH3NPEH9VgHLFpm16vrlVq75VKMvSJTtmzn1tdMuo3INu9Lg/3mrf/qnh+1c5DhmsITaYft/bFTjeP09liHHKN5Ea/s6/7AR4fsZA27t8KSiZAZevSW58TtaW2GG4R73KtmtAYQZ//2XOB5ffukc/tYnvlSq7AX+aYxp4wJOmA3bJvmw/IF5n4K5qhXvy2p83+wC3E1Uxg/dNOfEqU2swgFoALUyE5OZsI+4eNnBTwJYvu+yBobu4LLTaF4N2MgRr0Hk4qUY3ymR4NN7sQe0BR/DLnfw2dZyvc9jalzgbop8yaC61DbkhxD5Gm+/TjryZeSrwfVdJTh41aHrgoecaeASFvHtYyBzneF9R+Q3YGQIuOyeghdWCZvacehm8L9zh2vRuv3iU4SBU6yfp9O1o8n9AABOUR/r0CVjBS7++x7naJ8K3GG9c4o4lG9TIuwfkB7ulve2Wg5YSqTkO/NXR8t6qjlywMz9p773FbHp9rxkHc1gtxOSGp5mpFTsIng1+X9t8m7lT1CUr0XkT6BUN8uLBB4mkry+1z5Ey8776dSHpZgvv1iXIzBzrHOXKvOhIWjB7SC3+Ooc905AclC7gO+C8YqMng98z977qppJ3sK5MjdqwseB594xuLArXrC0dFM66PFgjsCEJ94jsJCC4AJAoXPWdBVGR5U0eIxBJnL007A8NIRn6o6lBScscMMFucOVjcXxOGw6cE0OuIV0NelJnhUCPqmscZWpTsvUZvrPmy2Y+CXtWCLF6VwBGcn0CfQjf61HRxquYfHmYLGzX4P88gp5VgL/rkMA63NyOi17geqGp2y/FDTjVHvJUZ1XndVwG0yF18bfM1h6B+FE9Hk9mH9N6eAz5pveLFrRwzCzcknavs4CVyOUS95HNfH0gTu2ATmyA/4SybabC5qaWYFEW4ESPDnVLVqXGZxXYq3L4cICj8dqKHIXGUQaeXbQfDmAO5j53lfEqtN5/r/06y05AQpq+0BNoCLlDpid4UUuTkjAKzH2BrnvSVm3NfqA5u8w0/6k490oQ3aZ/FDh6wbdr0IDqCXo1g28QnNDmKv3GBp4COQ699szH2vE+aRt51Ca3yvTXaUKlH8Wgsb+rNnrS7bQ7PG9OBu+x6KM4XRqrsDfn2lbU1KHVA1qlQqan9ss68c13rDdnGZJW6HH69VXt/ucHy9G4xJ39LWgEuqA5wxq+wn2vShTtKOLnjHnFKVg94F7OVb9u4J1t2CB/CCMXAgqwsH0btOoqs+wY4m6DBbx5PWrR8iJlEdwRfu0RgSRPnbgjd0F5L8TewsMYH+wx4zbEgcA/1G3CtPeoEs2bic2qSx+4k0Gx+CtON0z4NxtyQn/qye9zUN/U6eiGOM0CawiXjnppc3OeOJu5XGowHbfqh4fxne0gprlkp/DLkja2jYef8WavEPAKZjz/AYstjWhHCFw3Bi0zZKK2qEUyYtkr4M5N1jX30tH3mP3FclZYa5ax2KO5bCCXmVmQlhAkyOzLs9SkrChoF4Sk6cxiPPouw/oKuhlCjYA2lzq1bKfSI3xfZh8d/s07c44fSXOuAFjoUaH+ZuziHengWwWlD5y0Jxng/O0AMUyD9VtseG0wkriLYtz6Vq1NHcfm28yKAuzArJW9CpFmxhv/OVl4VzvY8lbKVWdTSyUDuFf+t6c3k54/a7RZshAXB1sGJ9D+Zt6jRHjPA7lJQlCLbvcolr0DeaTJEDaegU011HZJ9Zvq9beZVw9c5Q3e9bP2vWMNmAC4MJ20XjJWzC8elfDLrNrUof2YEf1h82DygB/vca+p6bkEXAd8k0U2NEFteuutKUrdzV4IflaDpri35kw3mGssElbbBwdZoGtAszWOXKI3br/qKqdbOXx5ggFmBI2L8y/A+yY7DRsX0w8rDvBoaoMhVydiIBN2iFeb3qhFAd+Xs9Ljkvm/c7P30oU8MJCfOtw4ePcxYz5C3KKoHPavdXiAmDf9cTn2vQ0DnlfraFAIA594t1O9aaQ7TlRvZu6D0h30rmaWXTI1ln5UmB6udMBUhsZPn1y5u4dFE5VF5+0qa/WUy2Y65fVff2W12zyPjm169szaAK3cdEk4Pov+3SNiPXOzz9r9q7WOA9t4B5szyDPb3myMzAwXQmHt3QRtvuH7Sep7bbFsjlmgmppvHGbNL73spIwUZLveJoHWkkFMs9lSO4LiXtslYCjboQXW6FZuJ4+bvcdWe8CPLHIGHmMxT2xvz5SPG+NTrUIiiRXdpTPtCoYRxF0q2Pq1Do/EMb3tZq6bBg6F3Qq0NXBKHrd6W4WxAzn0DvxwlYC+IP98t/KaorBuUVOavM/xkxvuqLEjW7UHjH+T1s2tW3wuWVQSwJUXZysZMnx9pmy8lo6NShuPoH1gTTYZZfoiBUFcQ0630ScfTB3a/gnaYBe3HGQn6rhjPSGSItAP+cm3PMifZ4hJ4An7FQe8S3z1Wodx5YxzylCQCfjmzjxBrLLS3eRFbmbgyDGF+AHmLGO4jtrpW2Y8c7voknF8E7q5Ac5/SualZkZyvJCBUvVWBzotFglrKYow37x4lDm9PdP+3fTZrApm+iQLK0adB9zaPwkeZSA5ABEB5xrjRbGr/HpVntfwJhtbgS6Jt+sfYnkjX/hOBdKu7M0qMV5Fpr63U/5p172e6xs4rccNTglTd8pW2B/jOJg3FQNd1s/b7DmlfNEexBpVxlezXz/rHeTfHbHjNl5OAgnmyr0K9stxUU3hkFXtR34p+M3U8mH3VY8N6/Y/Tgx8ArAWnol5phfzB2L3GYfAd1qpgcuaPhwEfBo4DnZg7Q/xdvqsUeOYuaRqkBhyv4l1M0/qR3b2uRqinm0niHnyeodJiQCjQp4VXePjhfjAOD4zpFIRRrdY4C7xvQRwI8JMGy/sKwtqqzQ94t0UJdv3e9k3lIHKxot6w+ebB7rdjTV542a+A+c8626vfQCr2tV3WB895DRxMF5nIrUTkT74eQ3PXNyrpfaAd3SnNsq5/bWSWkI2HtPSaW5ql1rwSfewTkoMvIihDc7aaAvKvqPAS43fRRJuXud6b4qTqdBkJoHxeGyA7+Mx8df7f/NiPyzQQFfIOUnZR0ncSuPdCmtpRpUlk8z3gOGRPOvjlRSYSVNz7IO273gi2obUi2LAT161cwZXylooUlse4IKC9ySfxntZhGRUHTPzEz6rfnzLzlMqF4hx5rHYxm9qARbUN2ZGjFTW+ruy1N7s85gZM5yrlWyJhnzpZiF/ncPulb9+0mAFuoCjkvGwWAoP9MbE0NdDduuntNOV3Kk2o/jn6EYZYMO3PK89ZvqZ8g/Q195PFny5eDt9H52blYUa0xZyk2X2Toolpei130uVjxLI4Q6HXHM6Tw7g/o+ixhN2vis2j0d3jOF3X9V5amKnuEqHrcR2egKfC5hlep7M1Ho8F4zYrB/TKsRjvcM/lfM7l9U7Za+1MTEz5xGHIJz6/bWAr39Y+Hgy9eIhOpSW5XKGLgfLf9QcbeAbiZRLfGo3yalrGPwpKy1vZWB8zy7GD3FOncnU1jWvHoYqR68zKQ0Y+kkYghwMWmQgqQp9U6ebQj6aYjECYdYW4MxTBDhn+cYtIW5B1zU18x6Vo4/MRpATojFdzDmHDCG/HPmwsUF9XliguYDY/e9a8mCpt4xGAt53jCGfmFwE3LyBNwLcfN1KyKtY104ZALfeAWscuFvRD8fsoddOJJOQ5zRIZxXwPRPjCPotrwZ4d8IOYsjLzI9esbwyMymZrfMsW0+VkBeeTX0ttBBDNHCu7drd3JXD/cwhrDb1o0gh+JY+5N+27mdcCf5z6scjFuR5Ep45+5SVNnsKZibT2NUDf3mzPFVOjNd0cMq5AN5z46hzTjn5Fkzt/uYn7sz5swxS+DZcoG/l4DfKSCgh72S7xvj/pdKfnzJATyEQJznGytGY9/p3dvRfTaDunjJM3TJb47LTO+p/AQ7ZHmh1wEYFevnyYB0Kk3wDSZZD7kidVCi3DAHj0cU2+5QlYFVKNw3tjDbxpoqqn1PQuUczZd6PXmsDGOH+yjtdcMceK1vTVET3Ooh6vCtc0HrAQ6IE7+J7svPv8G3vBcWgUVKPOfZPwTeA2xvb1BvWzE5jh0+g+bzY58aXM0m79E6H9IWH1/g8gQZL76DvgKPZe9O/bbwUsOZhvSMpDZpb2V9+aw2OzuVq5g0drbU5w28OCzP1tmY291HorysNzWzMvZ05pp9vPCehD7wh2r/OpODbH+V2bXQgi63VnA3oBr/nLUEbyPk6lCGG3IFypnHEt7d71fJ/PoVD+sQBueNu/Q0czcPAjYgdIaNbMn+eFe+W0kFbrC+v2YumN/dZL+g75nwDeZAeFzxj4M8xj91Mox13xgZ4UUYhc4DeP9Q9sYGLjDFXEgf4s7DJVrqqxYI7TLyvjvbmDb4z6JMZqwF91/T1XNMFB6Av7E1MQ1OXNx0hWXk4Hw8nGmWnvNFprn5ieG8Q/1gGETohDXoaAw/elNL/upcCsKdTYdXjJNYqyVztgh4HTEU/hdWQk79+9bZfSmtuY2YPVU/agk0hxEMIuupcMeDvzNvVSB5Bbx4xJzHogYeZhw3rG55OTeS5HnCn7ydfRSef30H3ema+A6Omfzvys27Etc9ftd/76jl9gz54pBZcx5JvwHGjWhuf2nk0taUl6GnA8gvNo/9j6tu6W8WVbv8SF5Ox/BgMAmMjB6EL6A0QIwQEJrZjY379KaW3852HvXv06pUYi9KsOaWqWSPoJSECtFC0v+dh5mW2BEz/vICW/TmFssLjEgLPSRoKvK7nvEFcMFCLLy5aIWx6DDEWs4T8c6yYB6mF53I0Pn/eVGm5JxTvSufzCbFFyh7pBj6vAahLAzUeIAazyYecNz+w4w3ws5U538B9aRHUPFnxdw7gA8709XjbsaDrjbYgcWc1tjy3MfritCvqlWTc6H1xS/CgOHDnA/D0WUwzwWN2l4W/KYWMTlzFsIaCTmgqC/08AValLiHthMpXXi7F+dHAd8vMjGuqTvB+vFqA/uGqEKaePdJDrZWp25ZktNc0shZg+c985b0c1AZyNuwXNMLqnEHvENEj4H+2dWKJhjzB6qL7m3dDigRwLKFs6L7avrRr1vznedeDLhuTr6OlrLJPIXcz06P4g9dPtw4xF2Fpw977outgAV8mVaEs0fszszznaOnvPPxcTxF22yF7fdZbPbKLel6f6Zo+YD9eylGda/r5PFjLnYNmlmxvcA3WnW2O6/5CNCZc3L5q0w/P5JWFywoaAHgOvp9210sltAN88d4UiSjZog/P6yt/XdsctB5K+nLKLkcHdNRg29nzVgIf8Nhgl6CDPMYVqly+5nZClEOq375U+nkx9VkU/l5FVWXKHIjwnuYs5QQcHbhDcsqvXmb93S9/MxGuqd3Jcsi89msbiQit5UqArxDIISQ6ADeDHP91XDn8nVtxWHUpBffauHvNqK54qGUem/k14UID+HwnCYTYBqeoA6KT/vVlp6GCv0+sdFii0tWlsuUAeuCbOjMROvnCjv2Fe+wp0X3Ryb+ZXkDpoK7Uc0j1LCE+A1i7R7U2j5SdIbemT+AQWFrlUrrceDV/vM5ggd95IgTS52JzH/VQ4a1Mo+4nHxKbI44Ba9/qiRfAj0APdEeIpbKNyaQsErLBy1PGlnbgMxfAz5kHDBtvQBttWuMXG9m0oq85j9cNEcu+RfKZ2rM8Rdw5UYX5pBJZyLAZ/rnUkr91XMfnv1VxdcVmlntfOtjlmfy6PbHFV9bj78ZNCOSXoI2yZzbi2PSMgOLvgLf91eqr53YDOsD4c4EehRUEfEm/tt/cze446oZ6MLXa3UZFN9kMmrUc30tOrCpg94PdONl4M7O+8iok59PuxkhgPK3VVzkmNgUsx71+4WFPC1xIx57K5z+HWssqgsHjgOOKkT6duq7MbzYXy6Pk8970ScDzPlrkpy2zf7nqiaK5HJEDa+FQ2oWg2+9tpECDDA8RlBfQUy8P/zgb1STguTMxjxLtNydmrxR0DnfRN17RtXb4OZsw4yuZ83BryfjsSi4ZvPMHxPyR2Bo3E5kY16OMFMktT9e2JA3ntIH9B9zr1cfxqMT22VLfeBXRdCTVKcZ7wLXJzPsui9n0YsPu31v86+aWOrTqHnHpao8iUqXGdyLqzAwZlFkc8n3oNsLLGuCADSsfmevHkv1hb9CM9qWduATtRdKAn7Ho7pzBurnNBWtN4RlN782miWAP2/Iq4Z1isfdUsAcO8++eOs0mdR4raFAbOMPvrJ3/6qC6mzmrBux97WVTe4X+11e95itbgQNfcsvMCUnSkm2sdvy0gBtoRSVglCwFN9MI1LENkiwdUVpF8AU5ohCvWbUDbivsScX6jTv/QBf6BPLwq59obHqMeZC6yrIR7MnNrw8n90OjKU9hlxPgEaYOqTV3ZOzfA7DqhG1dps62bOB5WJje4RnGowsQEWJfgaYxczZ4oK843ybtcHvdBdwbDV8LDaALN89TyHekIG/GT7iy2B244f64+jn8PKi2ciPj8l7a/oj5cJHUf1ZxCjrs02YMG7+/e65hj4ybTas/7/B3zPw7r44er7uAC3YyMyvABk0c/9ZPjTKX6P2hXHypGDpKGx1hv4M+DBc8enYDHKIELViHzUJW34b920HYf3EH+DXoCEK14JrktC9XQfWAY/8199b0gX5IwE8abv83m0WSdrRpbSW8srZvzDWz6D34d9NTYXpVMIXc84F5aIMWSkqa2IA791QkCPR9BBx6UwFuUI6uh9WfJX3NiL+t5fjPaiPyBjEfAM4c/zvL4ubM+rsSPG0iuWHh4JnzKjpKU2P/620P2sFvg3cP2+VdmLq15xY4Dv9gurumAPcQj0EmJMQyenGbOw29rurZPbcQ6OL3BRfNRgT6CPrkJjlKT0LOuU4oGfWRAE1nGlHCdUHYTVaTn1VhF7Gx67kLXF6cL4S+bxT1b9iSZTk+nthBf31S6eq7kM0JL/wvFSC7sbostZOc6EQQzs/ATxHk/o6vmUPi5KPh81kU73Y1Qe62zSx54gI+TqVYvsoBNGvoUcjtZp7SGwZMq5yXHyzEuNhsMjNHdZhRG+4XGn0+2Li/y0GGtZ3s2OrvswK406BjMaGKWrqD3GnO/Gnl+vCzoO/FNoN1C9oiYaB9rRQ1TupincagDa2/3kAiIv5B1q6rd7chZdZFUPWt1vcNtt+tiqIeU57kA2CWAxxZmx5VM2lBR8T6Z1UIDcrVC5lIXmp/NrWoRwsUGmCGtK42aLKEW6/aA9CVQA2Mn3EamfrYZaxiPyE2/5Jx8i3EcmvE1qssUgqKA6n1hSJ1aEX3TAW/m/pSeLYfapOZunNPgy7Ln9fNKVJ3HvINC/7z2XrxKL4Ol2rtTM92ABxtaYbmwu3QkWO3OVhEsEFGqcZFbe+9Et5Rpt9d4BtzFX16WY9+gBM6qmdeA+t+in5zw08VIACIx6UKzCy5v3pRq2IKeLH6yIfzenRVKQPmnYrPZ+52lEblXY3hqoT8qYVl1aG6Y+Oju9siEj1AMzBPinmTr9pvejnygIhM6ACHS6i+bhszbYSF3kubm/kcS26fATdut1qDCkXZmjqeccW5p0GztkxREeGBBw383q112v1b8/GfW1v4rHoliEi+Te3L0TF3WMuD2fzYIpwYj81ULHYTdi8PybWi709h7mx3Nxv4Y8ZiuTagodTwWBnkaAn7/ESHBeLqRyFCIFQIDZK0jcsNLhCD9RzUmhTwz4+czWEVvDtseNigixLVp2tepH/+orDmDo+7lfL5DbTDBXTAvkL8Q3LAzfFxqcNkUc7Cy4EccYSscpBfEs1GlzwFmqPGeKUE6Po7N2HEae1kT1i/CxXNhsUJMC72V7/BR+yANq4qV6GDtT2zIqmODuzHCVZf66uC2KYWSSvYMRT0MOTZvXTJiYZINJY60YDZlebwjj4f7Wh87FFBJ8izvAuwTTrQTq84vLcD5D3I4MQZLMrsbxx3c27LH8n9SYmNXRVdR4qzA3olYCJZT0wCi+KziiWvTD1g3+1UqN7yHsMeMHnlc4X1jMkggRfv3Wz8fHnPrgLxUgV6kw7/Fiw0SoEH4sAX6UCi1EJv9dfWN1MjYNVBt+rsaHPAp/mtZdg3eJ0Wn95JgGaNmueJ6gDy6b3Se9A0AM/8837i/NWDYDWhdn/nzAWgs7i6UVtV8Ps9AnnuZGaCh2qXCeaY+MAFtxXbPOF7eLIgs+zh+SkH/TS4GPQZ6M4UcIQDroSkJ3PGyK1i+NUXcKx+a2K6axvdutrMyhPo1gR8lgyfyxUDz0XFb0+OPe/zSaPKNnN0MPmd7WLJ31lNSsC6rSU8t0yr2Mx88KfKsgMTl836N6c4y5EPGho0nEViboPGsjSRPbozxvciv/kkAn7Qd19VNFdUI6vVKKC2npU429mwdKAHvmrH24mYrGX/ec9c4++qM8rJ4SSWoRbhK+a7o5s6gGW28cFQKOl4eL5nDAXwP1SHHFLVb2/1raVJodZ0qZnpcde0NbwzSL5zngygVyIh1JNyyI2CfBycJS8H9FUHpMu/ti+fCm38pU+RvArIg4Qz+NzUkSI5U/ZwlcC32vavkDP2dUjyjKK8jbwPU4teTsmPudtuRPhgoQWacrtT1sOc2+C2/3wCBw/NeW/jbL2XJgIuLQ6OvGLu46MFWEkRNbNlIIeWCnh5ZiFeFZy1vc5kbyqWu2/Iwwudup+6T26//roF4Ey4lCKUPmiWn5x5OI3Pxm8tZqN6ndvIPExc4NRHyEUB5NeE9TIjNFtz0+PPZouMqm94soLwm3KNz9SCBx/IhZjakjG1lM1pO+DZzLDGodzgoBvw7lbAv19Kje6AvvZfzMN/Ad16gj1zTPv9g+xulhi9tYkQa6ybOb+NAZ++aAC8RdyqVuAf4E95O2zuZOC7quegubzAnPWlMUcV8BrA3rQZYG84Kq5X/6XNT8AH98rlLvDZJx68HzMbL3dUWhX+SkN458M/4xdkp6grZNCNEPdDtfKsWt+fZpZ9Cpy5Hq4rGxHoDH4FbO8y5wZK8eY17n4VgCWvvMzH5Ekm6VW9T6vJzIc6X47OxskhW6bruwdakNJpDvNC4UyoCYfbEPLE6WT8d1HCGrex1bCIyuYVBvECOHbBwX5JgeZnlkdIlLy+16yc7IEB8/IBbWrQHi3wVuBoEQlI3/QoaCajR/Gx5aijOnkAHoKOKQE77CeelJuPtzfRqwX4aAe6dGmn9Mkj3Rmfkqow2u7PV8Sj4+BUWr2VLkkqlxTYSSiL4Xtw/s1CPJWDbVUT3giudrTgN8ChCN7PptbkDUMePAVdyoatLp/bvg27DZ1M7bc+1i6hTMsjttMXbuxPAXpCfKy1RY6lJaeDY/uK/XOrcOvjiTkH6+qU49ynxuNo5c/ald+gdQno4aIdk4fqgTO7XMr4c5MH6R32MMlXP2KD8T3qPnKxvDTRbOoJgW+8ARM3PSq84WZqekIqjQZazB3wyq5B+otFoPjH2fjP52WPz4BZz3bcWMrBVDqgcQH7ctPnGPBNGlqOGCHvhOhQhfMr5jtsbQu+21rpbnuqgQU3I0alk2Tt6JFsgqd29V5xXAjeERouF4nQWgn2gNjZ1WHHMdtKJSAPFv4jH7wuK+YLQUgCT1m5zUkd/9WZ97mr4lSYOu9lyuH9gmbtjP92pYEXTKb/DgV84CKNO94KkImgJQEkHTL9d68APPwbD/gCMZMoNmyIky3AhXqIQwb6sWoK/DpLsU4xp/WqMHCvUgywp0WS5OO8AJce84H0oA0zeMK3VPM5Zwyw3ZspwBY1NaaaUMC1uOE65DqZ2oGAPpFFxZYdthZMY57I6G9uxTMfjLeSDxh3Xs0ZDLf9vWTbpYnfH5XwUMNT41mUqSLBB0BjzjabakDXRnfPks9ZPtrn0rqVwLOFBP1kzjxycb6fAkLMTDocvL84wBM0oQVq7IOMHmBL98OL7Jm6/KOmBMP+91JrBv7/7ymC9NFSJBRvFt6H9zr2KxlxCTlmkhAxDdMWs5VWOoV/gu4Vyxtg1kfp/Hks7EvXzM6QxYl+bqQzf+Pp0/SpRzloCmp5p1aoosq3b8YPruXvFzkmztGCpwmlBNz6TjmB/BpuID793NJxVqCvg9Mx3Ovgd5bfiv5mWAOn6niPNvD7h8aVNgaum5saGsuTciI+tpB3sEPb+I/K3RbWyNwLq586Wq4QpZPpqWQ98k7s/AAsHtJQnsq1Q2pkl8rpHB79e8XhEfh+Wvbdm3rePqj9vjm4+q3t1QGif8Hub73fFwEeKHvywTlJOdIl5MINB32Sx+/GoWeqwluokPGVRLKKtkvak4FOyRkwrgDNNr7iUDGykyt3cYRl7hg+bvgiTv+7rzzbJ4h440MkxBw3A6xrdCOn0PMAF8xZb2T2lqm5IDQBfaMOgHIVdjyn1v4XE3hmNlr/OHahLzwK3bJAO1OX1I6f9inSBPAOeGzj0tF++2+2lfdQ0WNjvLPNPPdWLD0BncQGcqDCzOmwlhJwIXcebgr4rBie8tjvSPTyCr66J9Z9Qz7nRwudlP68ZA5bc9NLuYP3sNu+0YmAvnpfjo7xVPq3HJ/br+PKlpxrc8by0wrIe1ZyYUN55/G7xWLkqnG4wPseTZ3E0RleParZwTF+5xDDE1qMr1YTyxHi7KkKrtPd9a6GzaWijQ16MKRuZjx8j0R4/glhJBgHXskL2I9vZrYfDTlKdzdXjtIysyuBKzunwH+dzw+n/HaCnLdiRJajNWwyq+NpeLawUCvr/ZK56ErEbGpcbLXKXrDZzIuy20BarPDfmiDz2vz2bNjNzJG5Gx5m5nhR51YRnpxqirsXj6Kou9K4cRRlT+VCfhC3a8v5E3LEnRofXWd74BRyBGBLNQF2D7eUTZ8Otc5LLbYUcuGDFv6XCFXfTv43tWeeFrwnvX9TRYdJJF/nG0+O/O96II9UaCePu57Z+pZP/izHDXABu2IOYi0nouyTJHXIKGNmZtRkfNDm7q1S1hKTHr1BDj2fBCJYz1wUCLievbY92pHgb85IyZHaASYS0BqEFYDlnDMSYJyyvZfDz7SjvYPPdwCTynq0H83amdpSiAXpkHD7U/PSkSafuL6kkae5UICjeKyGX76fVw553SHaaSH3oF0Hxm5x5qDK1GNTRsxcX48jHlHtszQws2KI8dH5AIy78gLHLWA5xB6oZE2qYYA1/Z2vh6Tzb9PGkDaY2qho7oiNX3kZ+JXxIcd+NqC5hl/emH3BbJKHV0euuucMZ+3UfQC2nklMds36eT86+gyxbwNmsQr0P3AjR37dIJCINrN/IX43qatp+bz9QM5/3ZuTnC0W8IO8XjO77bsPYAD3oysvyuI27vGII77Lo8Rmo7RPLHs2RksGPmDd9pua2h7r89Ki/f1gwXON+iJi6Sg9DzzwiRzmHPd+9ooNGdp7DiwAD52tRiKOzvylvv4twF1OarTN7C9b0O6DWKRvB++Nh+zOgk+jFcLWzNiK+doMtzcm0JMzPTUscwVoibr/9FKxAU7/6oe9HTNTK2P8n5xZ0GgbAw8seKBSBitUR6XpkQAMng+y18AL5qwOZQgx7ucus+HzPMOplZmmM3ocD2Zm83YjkL5xrne1dduARgj+7m56teNsect6nDE+f1dmbxa/s/Xe6iB0KpQY7xlzd/hI6Sf8k+RkQG8k2kbS+OKALgL+/6WMhnHZKkxcRPtLrskRa39tefeag+AC19ScSjO3vC9h/Spn9irOnWqUWTUlHqXdggetK96d8jgzPorB0cKgTZMYcwjS1X8qq0vqaJ5P4ezXjr1kjj6WTO9Su/My+8/f5txAvJo5YWkE+FFw0QAHqMdOHN1PJ39uE9P/IsLBY65e8EoO+bjgygV9WYDOLoaVrUkFfG1nZtdVzuZhZkyCvvSaGF9hnxe5+7p3uC5qIqlEZ69lg5ONRjORIWNeT8dEcy0TIYBDotlN0TxV0WDXoBR4vh0xaOKs72i5ok4VWspIhbB/Evg+wJduSb6aWfLmLu2vz/cHEm3VcjNL67bJehLWq6mX7BbgEcc0Qh+18xtnwGU7zsMtxLI8tEgdZAQal20/0gKdYQ8G5TS4ZNQH0JxjFRNBbHSk62BXEXrN47DrVd5yW+1qM/eFJ0k9QP6LOpYHxkfq6mGRTDTWnmTkjUXLBHl5EeHSp8VslS4/H41b5ri9mfvKE9UQW5/3dpJmVvfmFGCn7smLA4D243tqfJstyC2D9w14GFQWYAjtrvU4POG7SW43sCvKOzbnfLvtRz2aWigJurC55F//Lg1oBmJ6ZwArqjGJcz08Qbt8Vbbu6frnIYnSr+2ZR/CEgAGmZiS1eI/dPeCQ/BYT5Oho/gEl5iqn62mvRxH4TyaUqSdzTxybnpmy6gdQqxiXzkJS49P9tTXP2NER9nfw1xvoUuRn5eg90z4pJFW5RLNzdEkF/GngFJ2AK0+YkYtafVbB91LObSqFBryXQoazrkO7p3YHfGPJsJCQk1QlbfYsreWhNI8r+jezNW91UjQxPPeKzR1yhwOiQf8sv/WefbZUX/+sfCKjAr1BQ90B2pmzm1JN+iEEh1xDflSEvtpYWyqeMxYnd9NbwyLjYUc+qBhe5xte2yc+PNdUx4afJYX4un3zr+3b0Vk+4PnuDL4bxKDxcshVqIIqlHY62t/Gv/wU6w8eeYdTLJNWeHZpJ2Yu8UFMSUYY92qN7k3UvWqJrzlCgHOqqwVwmcGy6NitbaCfx5U8jtbyVvfySxU4TNlcGf4HunqhffLG+gT0ToJ5hBlwk5I76JsLvAHdlTNr3kHu5JVYeBXpV2/FB/CiTow6Bwx+8EHNLd/bsD9TtZIfYi1jNp0dLmxEbW3un38gboOMJcC5lCWD5Grmyh0gQ2CKHZnfzDk75D+I2efNktrct8pXbyDwF+PlxnGzg/fSJwHsFcpGL8FaFQcrNUpzQxnbmB4fxsL16CaFCtR3q1PgjPPT8DAz4y3r+Y4FBNPoeskHjBuxbLibOAzU4Ot9nYR1l9P5Ugs05tyHPMdNfdWPQrDHez1hp7ObvguVjUEzKtAUe4dGDwfwZqEjvnOts1Pc7cws5sbFaQY7kcXzmAedk0/61Gr98oEJcnPnipSTh7fC6GN4pryyk5g43V1QUpSO5x0dyFPAxRrLZmKYT5k1BxVqHgzpvRxUWuVXWzKUKIqmPNSMTTIhdvk88fApxj+93HEErMlNIjwlvCxm0fC5546dt0jLPJQbzn9ryc39/QI8dhG9ucux3GZYdvD+9pVAA3wHkjqDAz+DmdZLJnhRC8gnQsVs+L+erMZGGRP2XvRsrWlmAe6TclRFY3kBGW0TAxXkx+lEZQzPfGhWFMs16doR8H5CPH/eBLfLxbR+1ebsFnXC+MjwwcwoVFPqhK+9zNiAEBvwkU2JDfsqa4IuA27Z8VgX2OrKtoBPc2efCuAfwob8xjeNC7namUtY25I4oGCjzgEO4mXU/+YjcPNxdiU7g7aZB+Ck4eseVk17Bw9b4/P7JldCaOxLNmiHrN2O9IRXoUY5U2UeKBuwMaVxaWbG700Pfb6qNO8/HdBOG4j3bxx2YRvwS9sz60RxlkK0pNbfGVHBLeOgl2RMv0N8676e9E5QZNOCZBCfT2JtM8KBGD9vY/rcAs7oHzzNpQjIVz0kj3TFUoJSwag7gh4KVJRwYry4QV+zoWOE6hc/7E9mrlKv9iryfo4W+WiFTKthWzLUvbFY+6mV9NXXbc3ts+mPd3/P7Pk8yKn7zpjNQWtwc9cuHftW0vTZaoMbHZU9Guugm8xd2ouLthoX+ZAc6cBlasm5dMh3bnUL6OucW55v7hVh/xTmmXHsHyokZ1jPUhg/Iu0TeNcfuY1PTS9dES2PxiYbtYJ+FAmhDPheH65/azjavaDGE/YGfMU//nqVmhmNEbIPll1Arha5NvN07TfTh0ic5MECf0rHxSttTNsQn3LQP/WEPeNfDHrgI3Mbmw7bDmKEk0K/6kUp8AX/4CDgs7zIej/PRr2YvhQ6eFQEnQW8jME7XzILRYBlkLtuD/j9GPhRV4Xq0FBJqwGBBgM+YpOosWYHFAzoUFw0wadDpvlVl2LJNYSfRacq3Lt87GLao3vuYqxctRgexIUsCSKQQxOvipFNVr0zdx4cyR0fvADiqaCT2tCieXDUhRzYBTxHD0xYMwuDhvj7LIhJHWLjs20DFweNZ7xDzX1eO3Y7vNvGKdVBo/FVjAkBjE0J6zB8xoQnlNLRK4jFIcveYsy8hxgXeSrg+0wcM2bmpZszx65/9UlJ9s+mcSJluDX+P6fGNb48g8VZB0zxlmZaf9eIL0yTBXI+cE3/R9GENMVcNu68qx1ykyb2R7U7WPwCnLXLxIJOoNUyra5yyP68FjPenUWPEB9BS+XbTStICHrczEiPiJawx5MSeISPrcc9j2FlV503WnaYaquJ95fSSYAPYKpsyIGO6f9KNo0eNimDp9Zo4at8eX24lKFCTpKlsX4DTbfJtW88Zd6UY/x4sU6nYYMtabzZIuZ4F3OHD7qF5wxFfPRYChynXvf3k+iOEjReFdrmDsPU3DslxYD/6nVHH6eRulWrGgjTD6I73bKbn8fvXh3xM2GAy8DhQbM+IE60OVukQlaghVIaPu6QUyRw7RxwbfxvVuY8nGhjM904OOAS/v+HhNYL5+2jTc442mwaZ/vMJsJNrx8Z5yv83bDiqioHecZBUrHntmpWyKM8YSVVP43VRfmkvINlbY4OyNNwuwdOHPzOJF/xWxsNqwR+Jrl8Ya9NQtD54t/ShrZsvv49Gsj1gOU25KYys+c9rOOd9YaDGdx+mHksbxXFmiNTN7nsIGfRZrAuuJDGz/xQiuQLj+Em5+qGxfYCGPqaG2j6o2Qjtj98IJFACB+szdIUhDeUlzmfPWxpAv89qgofV73xciO4+tqGp/AmU1ve6hX7+QSaGfiRdNUNdEzaoNlmTnivmfE8T4ZX/iKUTKWVrfnoXYkNvHq8PiEHAhb983LTBxmpXgTJGXQYYVNmuPNcW8m5Dfmzcj4vtT3HDWgd4FHnJsCgs8lQWZkNuXsDGtABjv/i86cTWyxzr5fZ+Ab5a1K7qw28jNFxcTHgWj54We3oKXceC3CmDwnIrWBt5NBdIU/ndXF+ZKuaM0sC/UR3EiIC8Qecjw8yYA7u96+z5Q2JdcbX/eUkll4V0qlhp9eae0zMvB5s1rLQAu5IS3Z94Im/SWF/Y6Ts2kVr7RLIiepYIzNPGR3zSSIak/JoQxzb2JdrF9ABvbQebznO8aQ/qgFPoEU4fOf0FBMIPMv776wGAyc/b7D7uaFBV9JRUqm7CnDeqvVcgNbWLOQX4INdrnWaRyiFXWXOYG6Qx9Z04q/75WdmJw4Pk9sp3HpcJ1HmqFs23L44sN1ymDGJy2c9cItx9swoubcD7jODI6Fns/jzAjz60FL/Vg3GGx6b/HSqXfUUqLNKoUQd+y9+KEUgiwZpoexmwQLBfkZL4yRH4DQ2jXQCOMAgB1GOcJmvxnsm9Y42cqllfF+NzzO2QbuDnkZpxRA3njcs/FwoMKPasmGt96+8LMnqR6Cz9tnvOT3Pq0EtmbMtjFcw4XNZxcAZY+wAfnl8IiccoVuu8a2ySFiybS4jzU/C25V6rkreXVPRacMvU8GrPB6cit1e84mu7Hc2jfRZgVNTZ2/qCbLCX2rG5dHq7JZdvaNbuofVz3LIfxCvFQ+9VPapme1wTQfvDtr/XDPLgudZZCSfqSNnCfyVDxie337FvIDvsKGalPDMg/FLpyP/IL+6fq7ywT5Uzs34pO5z0zMr1KVy1FQ7Xly5oNkhp0vGlpSS9feuWCRnEOVMBEpnUwjxzs8q3L7qHFgL+MLiFLijZclQh3WQ7LGZq0kT44/mwiNfUqEYMXMpNT82dhcoRx1VxKc00AEJsrWB6D2Z/hvUbMoeEwUaCbjkOWU2q0Bj/v93vizQN9D9p3ZIwuPztgIP883cXIrUTkWDK+PhTuNho+j787AmdsayC4/nigz2OS3wjbs6EOFjyQocwb7/AYXMAMPS3zMKYb88uEiqu6iNJOCHhjzHRUp9U3N7NnMFKgdvMvrpSEEm2BukZoud68b0Qy9s1UfQcU8V3e7EYk/gSLBHgJ8weFdmVp5zhXW6mf6fV67Exj/H1ASWVpfxXu4FSyQNuazF9UnGbQf7bW2AY7dmNhPrYtbzqgVNXVsA47ubzyd1NbMqmXu2CHwOcNsHxHaWCn0AJfAlB/KaX4krpjHWoPlHMyujs2tm/5Q2swR6vxAKWTXcxqCvMfDSSWp8rCyvqiLYTMZXP9CD8bulTuPQNXuSKBlUJKNs9X3jp5WxW5evunrhYerg9eDMxtvT3D3Yin0uwJ9uRssBJ5xq1i1skJxEoG0LdU+j25yDNjzYs58X86WxkrJe9XywifGchSh5Nz1kdylMDQkowaF7+emBBiJlbeEZ+MwHRhjDHuHZmBzYpJFgJejW5Qq6hOGI8JxL+K5+Ajn82k7JQw6h0ZMcGARod8JLi4BesJY0sh3gnN9NoI/Am154SCvOxQnNkRJXg9sD8NDE+JuXArJHkZj7WwtiNGx7wBfjUS9A2znJWI6JqfMIQIc+gCdfCceH2rGto508IYfOGXA80HanbNz+nR9ye79hWg3ALVg+ypBz7rdcT9L176Xofj1xM8fUV2x/WP9uKwAN2vOTHOdzBjjG2dbCjszMICtK1ZBSdQJt+dFqPxOIc+yeX3e+Sx1jDPlto9zPZ8o7yYp5D4FrY7fbg7ZKcN/9MO3vGkQmISAXOLYNXFTK8WoD7/0QyL8BV9qY3iplEV9ZHqwzH3lEIuAFm4aXr3vzJ462wUmYXm2vr2INPJ2t5fP2rECDmL5FM8+wRUkvhg7wdPn1SaABcEzLI2Kwx7RIfurV16b3EzSSTwczH4mcVJF5sHnM3n/dcSwn3i31uO1B8Zm5gPsauLgyNRgieeKVV1XANoABVumwO+WdloOUNVVX9rwan6+lFZsLrMEbrARuLGlmLZ6BlyfS1h+y4F4qXr3S100bwzMBRsnV/yFIZ8RC5ISAdxXMMrcltZPejxaOq/GfQ/tPl7s4O8UI3kPiMcf0Wdp3eP8TjeSxDpfvU4ifnC0Dc2WGHX76v3k3pndlztju3+aEyqWNu52I5HgKEpHqz3vpLGU1zY/aUQuLvAn21aNk6lsx2QFPPmQc3qgAxTTiG+iGSoReLvLtcoqUpyZZtvBl01G+7rJNX6nTFjjMGDopir8OjjyWdG/J33wHn6G78ylcGI2Mbwb/BgnzlGtyExHo3wg/aTjvgatyFXWIoM6t+8RW8ewa/wPYHzsW/Xm0ztjau2l4+0gjcih1V7Y9YDUnp1r/eiYn+SDNHZVMJ+APBSlO4rGmQnJRYNIi43E8X9KCl4DvqxyWXVp0fdP7xtvfyvjnHdvkdQ5A67XT9TQ46XB1692tw2ypaH69t5OegcP1picmF3u3HT19KhqrpWjEISe4mAeA0lkgBfiHRuDbm9xBsL6kIxEPOJutyvgTft1e/csXzH3gVUlhal6rcb+a+QnpSp4KKTMf1Umd7b5CMwWt/FFBTuFmZrvLU+N/jF3ZlaP8Sq0O0jGsyTgXJ9rNHNY6D+RZ7OCz9F8PHSVf2/ngdIkI0S6d4C2jbJGuPjW2XGmofdqHC2ARBx1pPFhxan06dDAzNcgbKTok4yTM4/OCB4ll3F1Ai9I2v3HBujMW9hfwzVf++mZTujaO/cPD2cGuH4qJVOWEtSiQCzqgk5b6yFHqVgxfuKMIcJcC9G1wcBPgo/ZT8W5TmecbjW8BYLzjHeDd4tyxR7kCXkbLq773i37d1tIGVasRUQJdARN/ajavIK4vv9Mzwm3PUGfz9d0x/QLpFC6VJRPmDBvOdZyN3XQE7ZqK33qohOnku5zIDJr5XI3qhwv7de9gPO5KJZpnWaBHNmyc3CbfmXNDjCaXjClcxzNwN+KqaN5VAjjoANxp8J4q9O5S+1YeeUPlLAzy/zdm5EGs7TdwTBdiM+YDku3wN5czEBNo2BHfMxf2jyagkZJBaPVohDbnOEZbr2ywNeglM1f0Wds+So0HCQ8fdMhWMUKuN3N+LOBZTP8oQXJ4vxT3es0FWQ5W88Jem0fLh/HMyiYpIK7yKpSoXtHvrO02+L3TwJCTJTzTAzjmB48ai1lLxZg+ZdTPsgF0Spj4uY2uRCdnwW5zwyCfx2R/dLYB4y+Ofb3TaJsz4/WBMCun8lmuOKbT/NUWZn+VG2rdUtCmaSr2zxPg7ImFTj52X+VkaoWTRLHGrsLuJMZ5xEPiy2nvHFx/hhxxBN5h5Zy89tdCmPU42OoiJ9Dogc5UAHqBJxFw4Fj1xkMlcdL1815RMuc9rC8lEK/40vJPV+Q3K2PzJEHgwO7NeZCuoP/2aa+AZ8yb3FqAA3Uv/0PAUvvB3dDNVh03A7qBasxyc39JNTezsyXovMo29wV2kvbc9AKINCCR7Mml0mYio38n2nch31uN5ZnZsSgXc8z4HFPQRpz+zTblKeR40Gb811csYDaIn0M1fm6O7myb2hTIj1rEuGvZYmZZEKLN/VD5qEebwzrL0rJjFdlv8D4dIcjHSWi35Iltejuz0U4pSJA/3mvtHwY7hQDsjJIcsBdRrq007gIhIEs7ysz4uGSj8b/+1d/GAwUBx7hynnRpUVrlCsASkFQ+b1+Q03wZbc29/kotFdTO8up3iDOrWUrNd9XgHc3dGYM/kcY3wub0aMsPYXy5R2sF5XqqJm2dCmKJkOjSScycQpwVOjQzlJmZIGZtgUssl1OAzRkYSPUkhzz64r034BVZG3IE+eHY9vJJ9X5Tx3w9uOHKnfLJgXOmk/pRzjLz3e0OGjCBPf0AjXRtRGKb2YnwapmpiFV2uECuswBPM9OjbeoH2cBf/hv4FNqWGm4nzDE+mHv6kD+ABQWMZfCu9o9Go2s12n1FJZea7GrH1EZsLwdn0cpS59JSuAVdSS29UTwzvDyV8R40rBQl5Aka+8HfXp7mhY3KSpGeuMUR6fFehR3oyNSD97inwOlT+7yQYXOhRboQK4H1NV615EogbzG3WSEOA+DDBPAa9pUGforWzIIdQ4c7R3/eYj4J5159ba914Jd4lAdlY1KJWyiD7sfUjDcut0AnegzhRYT4kgafsLfUB0M+5GZ+bdnm2eq9W6+DB3nYaQA3Wb+/AM8E3UYe1SpfdcvfZFIDaIVnMyV2Hto3Hv77bzbL/+pYmcjuZdE5R9Dz5Rp69co1dcygqBnxWL2BpswghgYV/N5lfaU6eZRc/5wgt8ti7g/On9fi3Nh8bgoC35Vk5i6BDv/c8msLChEh4Nkn7CIb+GDSrOXjxLY/JOo2J/h8M//g6A5OU3AzK4lkulww5QczC0Tq8E7CZpXT+d7E8+uzeoU+vTRMHpX2j7mrRsgD1zQ6uyQGhhh2nXHhpSuuJE9mtuIfxbyUuElRF59u/bxNJ1YCliizww8VaFFqo5/MwnscJFfjt1cHf3cBZeNKwBnjQYJnaXc6ZzICTnNWohN5QbzGJU77tU0JYw/gNhBryaGKtjrf3XrQPGEKOlTG8y2PQN/22Vo5pFQc3n2AxswiPQ2T14x4R1rzqQINQ605FuKfm/XNo2JI0AhyedC5pzg5Zu4evvH1IZ2bR23pAY87NXGCs4HjdJgvVOhr7pB7zjvWjJ1UceplLHlC7imoVn/7q9HE1K0fIP99sTFdapTsRIAewJcDFc48tyB3h/bYrMpve6SrAEWgm6bK4jcVkZE5y2rqkhjbOqQn35DBb+3Ib4AbuRLevnTfX3eI3wdLrTlL9g1wLkK1rnXiyqHbnYyuLpjHAFfZbntlsczUxG086qUtyruy3+8tYAQNmHe0PDNTwIf/PtdmrhmbfePpVfL3jSxeNUvXO45A04yeDZwzb9Z0AznZkZOP6Zfph7Rvkm2DKsTR0Z6ZivSRQ2xg1DHCTU9Lp6mrQX/MZ1MfWtF0TdfMlZDH6vD6bKn8yvq/nn3gmnhUJm9bC8ExckBPj83gfQA/PFba9MKSp4zw0gxzJXhjN5H9Bfz7lAoi+XB7cHb1gNsPuaOLWqANAawCDOOZI8uUDmvJFuePR4Uo+fVXczxaR/+eB6t7yznwdKaXEvgV7DHrYIdryqSrwsb0eCyN1gEeZgqxAloWfQAmubVIBvOMCjIA6KuuGmeLuuzRFH89jytFodX2XZpZyPTp3oz3irSVEGaOLWAPH4gDObdKIw/eAdcQg7fKUh3w3ADH2q4D0NdhEgLPvVZsm5ORhNLBaT10g4Q/Kyf00l/PBs0rcebATEdS4VYQw/V6xTLHzMFNHzXNFsJLh6L5h1tnyOC/P78hgON43Kx8Vd/UCh1iA2xFEBPDDXLYFvDAvjFzxhmrV++tm/amZwflRPOvzNS+Aq9lLrpwCjEdJD8ZWzrTW6WQBOTsesAV3kRkJf37vRbErMWH6b3ArhoMXhu//YrNcS62G9BwjrTRy3dulzEeiME707FxgE+cpQC9KLzHKSLnPFKn3NmaTjxex9KRPR7TnfFx3Eq8pvfK2l7EwL+otSQcRKFZx7QYLMxgH6Jmc1iB9+rXLPVbdlx9N31uHUkHtwKdo6bSTqNFH+3kVo7k0VDFmOl75r9nN8D7PzeYo/Jgfd6PLlvbgZnzR0t+bW0iZK/056KAT8ogXFLL/mnj18zx60VZUjajHaY28H7HeAxwi33dYhVrmQ3ZQ63EAr6ERVheeKT9Gr3fJSN9yX0XNOu1jXQHOu3eCJymA7Ir1E1GYxGNWCt0T8flhVEEcMUB/KFprI3HVQWa6ddvo4mQrCPbnNeeSKjuwG+81PHGakRf2Eb3DPJTbXVYMq8iAzazMIAfLD+8ABoW3ngT/gOeu31LY/SaA75UAdkINB8pu6WnorOMHqkL/FHRxpKmvsKygbr7pbI6nw9JkUfnh9DdXFpezpmdiaI7M4tXfLCNJxwjhTo3o7fWjuIiUlYzkFdv+1tJgQMF6lb25K0ayZfq5QdFn/c8ms1sQo+vnYS9b+bZnStnWzQOLwCbf4Dz+CXwWBXvbYiZR+3O+SnuBjEhuwXtzLUu8uId9vP/3S+fmH2E55LS4q7S3ViP2w0Js+Vgc7dyrgudOIVYWWCNy2zYVqeIk1YsU6rRrgStZepDUk066iQ5M+fMceKCZg/MHdIpgL1P5euczUlFJ/mUnFOehDI3M7zlD+sBA1w8KyppKSQDXDg1kQz5sLVLmsAz+yd4/q8a8QI4ZQGaeFeHWyQ16BXWWazANjPnt71KZZG85lZs0uns5K4uUtQh0HkHFd0g53cOR+9rw/g1pcypeFc2PXLyAJnZtacy344q1F91oWi+csqmxsy6nZitchImJQ+3PmXEoZENWej95Ud0MV7zqgceGPCvqm/cZsIbFXkeidMNoLoDe/tKn9sgG5IA4uRZxepePm8BH85r1WeWEFKqUF04vOPjWi4nYTky4raIiG08P0tG/vZXw4DNDsBz49kDsrzDIdJkah4NfPYp/HSriXiAAzODfYUD8t32gC/WfKWieyjjW2LqECeZ15FeKFVmViIFHgL7Hmck3yI+dK87+gzyAVVR6rWUn6TbpRQw8eigTka3qNX+nUe2qGO2snGzCD5/w9+1ZSx9qrufdEWi5JinVgc6gQxtIL0ThzwPuq+GJ+BiGXDYvXoDr1kBHF3PwL07yEX8Blh0ruJPrzZ9luxq+ofOZqaSckNYp64EBeQ2xvvW2YLe6yC2FKKF79bWFfYSuqQDz4FnTzLGQco7FwNWvGpT+Wg5AuIDuPVALfuYs45zwQFj9B2k6QX406Uab27O5gU4s8gA2ete+U3cJTnggCzKh9z9A50RricuXTEAZ2Cowg587/CWm56h/32WFlx2zYirpoC9F56BpzBzh4k4kwG1EpFZ+n5C5K2N1ZkE3Kl7ruseEVCvRWZ0SSAPsKdD5pKPKlwI+brN1NQj9b6mI/Yh3//df5k+jraYN6BgLnwo13qa3zia03yYo+PKvToy9Z2PC4U9UA+zPDrSraJyLR0OwkRFebgcacGzPEgvPDZ3pTpOKS5MbXXtosHM53713XDQHbmtv5to45CAhNgx9fQY9IocTzEKzZ7INZa1OaOjneahZXos3XYYFkX3D+m+OxDFkLfJLMeZp6MmLUsOkMfvletj4O0vjBI0v/2oMXnma7fmtJtxjFMhAMtd/Z07D5tpWfAeAYdSoh4/PTL5pZxQX0L+li4eFMUTnTpi7jJzyvtmvIIu9dMKdiAtwgXW6FX7vTQ2eVPOjRM7kYyVHuS3lDuQM5434y2cSaubyjV5Zj1zUzZ3dFQPOcw/2YpC3idhafy1HXvPJnTEkP1oNCdmFjFb0ZAXWtR98uon6mthV6Wb/FAKGpf+V7uR2viQxlhUE2Ao0qYe44gt7Ip4gHfSxYZzwxq5bXiDNVBHxn7nhxnfaJ4y+6KEfhxWsil5MraR9Yr5oLbsCjTpjlhohyfA3TC5p3o+YuAxLP60lKPOwFUupXg4R/vzKQa5yNDMY/DhuX/9bg5iCp+UvjuQQxfgSPc66OxfL0n71+fnVTsXnMxMdj4fctfvcbxfQW/QxngLcX8jxrnPQ0SAj8DzyfxoAY9ymmcNgdCIpcCjV5QUFYLugVHO8OfGfyOJmKklGwhm0T+7Fo9XHG4yYWYGWgvgqtUifJRsOZBBSeAKOeTICfTodxXyRNrhRYrhkZnYGOeAro3Hi1mnbtcxS38Txm+tnh3AYguvzR34zua0u3mpK19r6JQO/OaVO2Kwv3InsyB3noynZB2AItVyElqHDcQF+/VPlZt2QBjirIP1MTPhk7LXZ1J8ehVwRDZ0v3XMmSA6D/AH8PHfOUAvTZTnt+y0uzrGZ56i82p8edJx2eOxdACXn63YElqYvqn52jj4ZrydyWh3p2i/gd+fY0sesTsTJcjReDlyLqeGoQeDfUqHcKntF2e75dLazqALzhKpQvToJArFSqHdVPCPlJt5w9j+7W13/agpMqsauw8O30WEi7mXX2vOn9zRFHj+pebYayNcQZxN1bh5Qgxk8P5f8+gP/9VS3bxSfLpEAP/meipHb4GcEGdjuKGu5GTSMh+6LxZ0E10zKxuMz3l6Mf33MiRRW/iDfJq+4vNDhvMGMOfMLftQTdojfH55jI8kwqDOkq/SnF3p/YO4oBpCzWqGv5mVJJkYnHa8AsfXoCnlBPjjZxZHaSgvdIRcOL0/pfVvyU0dPEJ+G6AQON4etBnOLVuWdvK6r5yJozCs+wx56gI88lCv0kljyPeBcirq7/Ov6zOPuMnXFY5kkrHtgQ1JCjrpnDt2nAL3zArANwdjMs5MxOXjYGmvYhhVoIWps7z62uzjqi6UNmvFLOBoN8jHKmiD7JKJ+ZhPSVCHZvZKEoEe6Rl9f1SDOuTjsCpLTVWRnKtCPkHDu7A/hnpApi8ih5x7rAEImaOThqu/Ogfp8m8+8bHuGex5abEJX0FTgmbcBtICDQW6tBz0hjBt7nuvDTP3q8lVAh4Dfv32YpSWqUJFN1Lg/CSwBVgVQL65c+RP7fjn9RHkojPYb+5Id9WYeObOR0H+KIuk/50//Nxmxh/nhLCZ9CcPDgOehGZYp0gVyb10UQZ47HMbZxSkCfzcIx9lBTn8Dvz0q5nQ65wNchtz6vzfitfhTif5BM72IVACXNS3mfHdtrqLKBAC7EvhO3dK402ZXz0+zsnBKS3jHQKcUafwQfh/nq5stz2c2OeS2l2fhtnLH/vRTviLoe55ipK9mfWX9aQ0PSOnwtyRoKc0fkBjV+GAA3Z1xtc2Zz32S+fTM5wN09TNd1u3LHiXx8TJo+HBY1SC9jQzDvaS/dXPXyVNwsyZb23chbSAnwW9jXv5Vk7SB65u54KHabB/VLYPSHbbNA7q1fMGfGd/p4GZUnl7U8PyRgsyAAf1UsEusOescgL9MmrI2y+dct2U1vWSO/zCcuADU+jCPnKUJhl1/lkGO82ZnZrwg+sSdKLpRUnvLfNkM8m10pnbjpwAF13Lr39W9oR9xnFVUnIEvVxk478HDYeXh8mDrtrUsQ6NdXOq6J9bFeinGrckneYD7MezQCHsZdDmwd6r6Ocmjbar1DrgCHu1TSKR375JMbgNU5UK/Cjn2jPukXXBbMjjRybU664NuKUksFcg65IgHToirZudrjKH7x/VLk5B1xhfU19M8wMHmmJn6fNf7wj8AxotV2h20vHW1UJugKe/MU6Y6Z+C56vk1B0Z1S+dslQgKrPnduFh+ZT5FjQ5IJDp/RWLrWyNK+Gd8piXRveD9vrm8EX/V/9GQENdqjW9YDd8ZoWEvbgHEbpowHmcT8R4Yhkv4un1vmTUuEYXnIJPj8fJUNLSxqJbfnvnehk2NLlQTvjB3PkPnFYOaHZn0Sw2fuGA92NqgebzM9qVldHna2q3NHkrBd7UYXLIevmaa/aUurFAS1GVb7Mqv22IAG6qEwlrtuP8vNLALzlKSvhzn7uyqJl3lrH/lffvTmnPGXAoeopk1IazuYe65aMNuMmMJ6WpXxr/v3lth4zZYUaJR8WcZl/Xu4j+PcuRPAlwbxYnPUWob3e3qoqTGaNkrmztNZOPlUVIzrgFeAg8YmvmuIFe1zzj+FKbvtYCYlmQ76PzV7PkYbFE8HeSg+XtuY02uTPHVfz+KHlzry1+hthOgF+BJpgvWPv90d3Df/vlwd9VMJh7qT2JPtds7d6UzXMJXKZyw6WcYO8NXgx74lWLVUnmxc1EzKyerGI3T4nlyhzEQQtH3PIELWafDvaRjDhWg3eAP08AdzZ5pIG7bFnpKo6pPkuOV/hMw7VPqhgc+G73zNERHeTrXu9YOzfQX53Ix4WnYfmgARJ4QkL0oMWEd4P40MbTFDjIo+ZzLEXyg4v5enhuwwpWh1nbq6m/z8cbkHPQr/nWgfw9UK0f1fhpcevzdVZ5ObrkYGZK1o6+5Ksua0GupieDTKZGXV2bKHTSr1taMe2w+GzmvHQEKcCwzmEhzkGnhNTMCGQY9CbZA1c9iiDcSFCVrTlPjP2XJ+GduqVVCXiXXO6YmR08sMX4N0AuY1yD6mNeDvvRhvd4T2PQlUPnN0G6cAewy7GTFikh2cPN+WxmyvfAHV0gov/N6TT1TrDOf+e9E36rhE6VFRp9Zbfwy2nQhaDh983zxtoRfRGk+dG6blS0nRqt7jXfWyfBr8Bd4WdvHHRPwnn4lAHwwrGD/IPjDHK0FFuRO9vXvd6BicdGMR2xSO/pOE88kFiE2xVHDzPHd5eP24WyhSp78HiADgy4HVs7qxV4p+xuJ+iwAf7mq+Ldzb5ujFrDg63EO9rvG2rPOIW9/tIpkF+Q6ZXjZpbjIE1Pw0DW1JNBaNXDp5Vq/AZ7Qebh3qvz28hj+aUiawFumqWoWVikfIjVArRslWv/KcXitebWJLRzWOUZcuJrNtza8AFwjlxk1KFaq0BN/rONBycNyPX/MXWuW27qSru+JQSmR/wz2AiMjdwIHUD/AHmEBkHTNm1jrn6Xei73t8dYWUnmnIkxUlU9r1SH815n6Zg9T850b1hwlhg/bK+p3EwflTEftWzP5cf2eXTV59HBWCFxBD9/Imb6zNzykdscXoNf5xt+XSRXWwuSjuGjZqZsINYJrk1q1MLxVPK49NKRVo3jP+lI7dyEIY+SyNbKZ2jiTei/w74dazt/pGgjivpHhXVSFzhSbvggIzGvz7oYPQiPoLojLqzNO+cKgR7c1575kHGSg7aXme2DHE5Fs6e5rbPIMfiu0NbXlnaWWVnK/53R9mJR7sRSRG2dwpVLcoA99MrVr4BXCjFieE6Sg0+npafeYZ/eIaJjAYxHhvZKi/YBL7BKwaYYOH3Q37128ZOPyeliyHJhIpfRA7QW/ba9OuWARQkcVBa4rQb6m7fMUbC/WLuTCTm5i51PfeXsH7AF2pNVvOW2nnto79kAz+GQe8nnR+bCuwp7t4mTTe74bdonHNaOU4e61f6fW3XBmI/YrXofotL0sq9I9eR26fBG9Obt6JnbySMmc+ZPwefnpeOoicndzupSH9uMMDJxbGxOqK8GetL8cK1CJUncRucIL6DlgENISLwEmCX4lEJH1fD4nRuYOeH96JIb383E3tNd+gkULrzQ3XYS8rCm8A6Ul3Sg551LMXUXvgEe3L7Xe21nuE0XiM3cWSLJpyMPpzJzxQ10zxN426HRtAJzv3QlmGL7pVyUlrYOMLazEogjRgXU3HoEdpUWpT2/X5U8eOkK6xqqex2m/uk5d3oghoe+Q53pZvsMKPApZ3l48r2mnOuQCdUrz7zu2nLwL285sOk51OcTPDFoI8t6b1KKkTj+zuYqp8Zw6k4j7ZMPYKjRnuUc197Wmn/LSClgrI0y/9bU06dz8Q9saLI9/EBrthFxX3WIN7eO2gf8u2tamCXF4o2s4aNy/93huUnpkgyYqoM4jdKubUVRrmkMv0ZJAZwjZd96alQQu9ud6pdMO/iQwfcF7d0xaSrQEGMqX7My5w/V2TOewMao4yWaP2qm3oFGXBVPnPV/0MkLAhG3Qc65n/aIpIxIJRVi8p+b9/21Cc3+hEjCxmRlkfnWCLSygzrBgR0jiNvdb17lzPgcQ7w8Zh7+YIU+n3FLQOv7EH9H0F5CSPMNsYTlruq4AV0hSJHbGfZdUChHnEg0eRC95qygn6nBX8rOUUftM91BzMPm2YjXne/cngvzViITy2izak7ckwe+9WMumPPnStzmDnw9cBHkys7cg6jMhtBVITCS7evkNI9Ln0w2D7VybM/kw/XkKjfvxABxiardH+AeIl6aSMfTnq6wxz0x1V7riA87V5aAVsG2h0FWu2pJjaWN0Dut6gRr1QNf/PRT5pH4SFcKoVS5Cvwg90K/HOw9MT6JHp/pKNRZvPpIzw4b6Vl4/CFWXOZoepRIRHJMfeaRj8xrgPfTZ+Maj+FEUsfkDd/aPnTfBPhOM20Ua3y1tu/A45zwuW8wlVVMOLzPs7L5KsCKL7YhDukaFJwzoYaKq15HhOUO7epoyeVAIP4uY+mZA6yHo7GBv0eV5SjOsqesKQ4beEMltRzUkw1oIWb7LIM/VyI0lLuoBdb7jcssDjbZSDJqa7scP5QmIGdJCRNi0isG7jAfmQA0j9BS2pzOIjiLNYFnFGB3Ks695F6ZaRBrGzC5dS4isX0+W9apd9C8uJLTi0U34GdW2w8vG6if7lsEus4TLo5KoYHX4D+VvkyFsjUc8IMg2wdRQpgWnf6oHdVnA14FU/a9Cu72zzPXA/dwkYtkYe52qb3k9Q5RY2yvX7KILjhAzBYN6I+GGVl7VIIOLc5F9tQse4qCuHZGs2DkKeOgs4yQ9eioQ7+nDnIqL3V5McXgG4EB50djz+Y8/a4c8qq7CbIi2MO++YRYLXPMN2lvIlVQnKGAEQyxz2vvLHTWCzOx7Y0EnGt7I+1SVgJH/9cbCfb8dzNADOKZU4U3L+PqU3P9zsb+Yee8vM6IgO1L1bXf/+WrkeHoLqnq/yypqx6KKZnHSalMv1G8RGwUK/+YcR1uQ4LIrnL1Hvz0hhkS5b0BPXpzpARNhUP/5JkQtK3LxN/fOcX644/NgWtZAb7C/Hs2Xe8Ay5Y1a5HqKK6QSGSBq8ybAor/+qnTdrYHLx/b4NKbTWYSH+zkE9buRsBv83CZ4Mf7BewmBYVJut/7So8489oMvlPh6Y1xNNo6cj4kkQR2v8TE1sZ+AgWfCDdXyQKAnSmiEj+YY+9Cp0PtiY0sghl88drIf6vuTfXTozBOdnrsnTP/PUvJU9fsLqFCwAebioF2jjW9hNjLOf6sB+eZQWwBHRuUHnzvOHGAo2fwhxH4xg4YHDYqVhWwTQl6y/bi1wwXjTc5mm/t2nQNK18suiq+2YC93Wtg5YoL0AWgOfokzYYJC4y/uGvaPJoPoqeKjxhimO3vpXag4X0ht20lW0Qc42e92DVYsbTXYK+KiGHj2v4El7152bLlhR2TbUqR7SHx5/HTn0moTTlaeyNHyWxPAvTZyORdo8zPgBeyAVi1y67ZamudF0+IhHOe7DNmhtwFn1JM/QXeIfwdUvM/v3eIWb61OQXfxBMV5WRqIn8vPuaTrW0X0fKonvONGP0OfsIp0V906UzOipYyDKreOXilUYntZcD3oJ1yO1O1vdaRXrkJ7YzNe4l+++pvmJduzoX4ojaXxyMdB70DfybLpCpVYc6yC2zds+3t86Qmsf3ex6Ojxsr99IjtK7X7A9qm98lep3nYguZT6Qn86+m5vSuOSonNqy6AX3Y3YMTSA737kQKzEjz5VMCvHb+sB3MHVoupPc/A1M5nQMLO0mHpPetEpSL1pbnjVD85xdqU0u949M87i2CyNbQlbz+rLnydVX6LXsmzKH05LK5AQVjts80F4OhofakrzHHN0NFTdhaBsWceJ3eaUlTeqePc9Z77wIYheMAFYlskpfoiw7RSR6W8b9xyFQPYwKvP0reWYnNc9RHi81m52006qDCDP0twEoPPuAN8bWq+NRXw3Ml1Nsxpw//mI6pvGiVcjP8Q6KawiUVw5vPNnqudnNBv0HTOhnnl42uu9OwAc0FkV19V9O+/WUky4U10W8vV9v6iOY+z5zkiFTCTSGFPntzk87Rq8F3mm4YYtP70mffqKcPE1HIL/qUFzXtYOcTLqoD1gJ//91lh5ZhEhaWdsXVWOPBToTcVAEz9Mc+g+3cStFY20vemX2zvsCuAmlP1tr/itKSSJuDvwG9MXc6VqUOyMIG/MndxSY/vcjAS9NLLR1UQf3sZi1LI6Zx24Yba+kWv/eK9H4q+3YBeZqkIwM6Xj9yI4iKmVJhk4HujKjFldS9CEpNWA5tlnsptPjJoh122/l1klzkQP3/7wFw62FMjv57z2Sdo+shBi5e2j/UgsvP+cNcSn4F73Asv72XxidSwpUy0BXfJg6ykhO8fs673z9HN3iluamZn8ZKWDIlUo/ZBx73yDxM9tpkwwVvqwHcaNG8cVani770eNuvR5XbOqiTewSNuMpMu88WAJ9BqJ7GGbgPRK0cGYmPmQBzYVREmgA4nhYw9uwwq9/Y8AzO88jea3n9r+ptLnWQAjfYQxb8FfpZNzxfQrrKSqLwUoCNcOl6ibCEexP3x39IA29HBgN6d53yffNdCf1BBb2wkp2bo75dI4brIkApfPXXn4IJxZPsxkfiwYT32KPA2MMFG2FnDoj3ylRwArw2szXvO1AAaMII9mYjIdJTPEGMEy2yCr+vfRF9uLgWGGLWlsjP/5ZGF/qvm0c6xdW0eqObIJ4b6EmdrOeC9HsAHfcyZDm+Ix/hxdJHDiiRuCnKGz6XgJyqBzVeDcGpndKWifc/W3tbndPXYSsETWjsT5Y549cX6An495KsyytKQ2zgNooT28wzbfgJOx4z1zgUHwBbBrkHlpvmZR6IWNtCFOQ3Ejx8t8iWcm59GZmhMUDWhWvSewmq2p3r87Vk92blR/+t989H0xEaBq/Lw0jBQrM/tlzb6Bj+7sqDXdPh8lDz5mcupu9DT+dY5M4wa8DvpMJXyY3bJCHHd9ikZkon3SZZ19PVZdsYT5w7hzBF+1gVKITXZmuZaBAkV+ktyYS6RvivHHDMO+29PPZbP11y2ZeOQkXd0oKb0IU5ngvsrBe0gIdooEZDqZx4meeUSH+Q+CVP8b6GGhmn/CXpLlMB8To6EvZOTUuqZwXrw0NZN23mb5JRG7YmtGDTCdKzHZNLmAFyxjHwwz9LVWeZgmoMSFgInDf79LKZ229D2mrnE+FvG2BEhbpvd9lyC5hAjtr3TPIj3c2NzueSCgWVS0I4+WTFSvPUJvzm5S1vQwi3wONfAL02kJ9DB+WUvOOip1/lhaGcSZoX5zj/m5RJSTs2kBFJX5v17VN5U2X4Ntb0njBKX9duM5vNbOoAOcZW4GHrMO/yudvO7ACKz7JtJmxcrwE9nT16YQhbJ/82uihZ40car4A3rqHV4r2hj55ZFSX7mNATn+cFGBbwmgHtb218zoPH0vITJN4N3LUK+ybrkpCO+nAWlbFD7s0iO4IM+c4cj0NcvvbzLB6S0O+9sjUU5toyP5L0aM3sPXwDrf9QfW0/j0s4XXitXSNA5D17AbhDaqzhoFDn1zZBkiot7jZKOgBYEX4ls71Di8A1H+GVfp4YJlHPhiXDKIQ5NQiYBxIwQdJQEbfCgzjQCd9w1bnxgjkDHAeiBPyuRIiLRdmdnRcB6Y1iXZ+2G4DP0mRrRXorSxts9MMDrLGXIO5pn0pxIvz2VaLL9d590SMGmyQM0pJexdoI9dReilTaPuiqSY8NFWsK7qHoSlCw5l+PE9HO7t/OlSDT3Okz2HHQP2c0RYM+LD+ErkX3GUX/BOvq5814FIl4C3CsY5WIvjLr9NxN3oXrwlQ5L2ANBIsDnc8/4NQQ63U+mLMSVD9T2x9yksvVoaHZif3BT+efFvR8nT6/pSjDocNg35HZEQZoDn6SmJSSmdi64f+bwvwi8ZYgDFS4PkHuxjTG5O2PK/eEstzPp27d0r4zsfUmi8nkZ+uWy54gb8cppT8GPb+wsq+PKvcvH7VoX5YNi7F3kfNa93zZCRbx/bFJ82EiDd1IK2H9gq2PyJF7b13gqREe+zvYO0ZifeqCfefTS53qfrpV4zSeaByoIBr8b/JxrYmBogQOOUwcYopDjVP7crUWTQ2DdOHA4D01yGT9tLlEKtvsFvh3Y0QCf/bvKva1EWELgaFAWBvze404i9Mrt8TXur9xpl8uosrzfzvnINyqiK1uDu82F43ss6ArPy1EowqSweevA1xXZbd168A1bD0vKzC6VPjsBT4qYr6mXTMLWaoSJpxB93VeeNDIraEC/clsKjH1r5HYjo4136VXy30y06VAN/9aqa9fGA80I/5/v1e60th5o+R7sFzxR+6Qffx5nTlrQGSt3kEpDAX4tdGwf6FdMAX2wXviyAo+zki/7oyOC0mp/rjpW2LyKrakRnc4hrOpeeDVoEMJ9xorG5krdUkFFPrbzJTLvEDddDb5XjeY76+x5Obwh8KX/+6yx4QanYP/CA20A66wNVtyd5jRyVtFvecMS23dhlxVUgk69U9ijkiVc4QnljuqFSTc09LNLj1vQJODPtARmS7n7B2Xc0Mbjv7Mkqv0BcWsrODlrrkr4/kvjAn8Cjx+fW9/O9sm8ZLAzU3SU9PVev1ee6UCzPRl40NRZQBvqsobXlnvT2znctsC8B4Hp28nZrPDZr1yRErTAnnb6S+/Ns1mzJzBTAGuaAhknR3eBoG37AC/72oj3ErQSx2Zv84RA9zya1dbq4lmsB1RH8Kzhdm46Mp3WcqNCdAMduOfit6+jU4twLXsgVxdTXeCl5njJiqRUIX3YupVGCsWjKcu7pIMY89NTC2L+RH5mM9N3toZPumJQ1caIsUc83CDgni4PdZ7+zNZKXprokzJimS1Ko3kRSPsyatMGp5ZfiOjDBZbTTpB2M89cM9csKVgs2PMgQhHpMfFgTQYy2JkrCW5iHEEc/iil3ev4Ddb6xlnw6g+QHCGeCqm/Sj6/VQy/A5PYOe9T6fqxzYlq4gM6onaui79WTxnVw2dyc7MMlIOd5Pv+zvfqvbLzm/j2q+lnpO1MQYw3dT/3Nfjw156vLAPtTZBGflGFIk/j4HgpGqQ9BQxId0IEX6XXP3LwL8Aeac7RgfW29ymwSEef6bAo6jqP2mSPjCfS+nVqZ8ys+o0Jw+thefmNocLwT4UAdqbrpb9tKj6nFaN2ptr+UmiXxS35bzan2je8vJZmetZx8FH3CoGWeHIP9ERvewfpvUJi36BkYoLmbGyAqciH7vX0yhUR7r+H3v91qujPoj0Q9CPsbqcEzQC81yWOju359WLv/Gy/+Q3Y5gb0LKr3f691rEfwgWeGCMQeAjaqKjlsE4lFB+yyExEwQY9e2kHSjrgqzpYmwnNlezUxdaSjHnP+5w7KyuS89eyMaQaquJIkScP2no/l2nT4ycZPBL7kvR4/PWaa53E1G9nptOkSoV3fiNA2V8GvuPzgPBmbgdg7m1wM009tM+gpRKLGFe5yLAvbsxpYq9eYFuoN/P4B4vqdoczXtt8zxwHw5xeJ/LsaE0Rcg9Rz7kALJKTPvLNsX3eIoIXDhYV2RrZ6grb6srU0vJ9vQphv0WGHe6Jgz62RP5mHtyfoQYcXbZwh7FyilmSg5Ut32ggOHOa2nViDQ8p0wQd/ZC78U5w9Xncc8ELtPJdEyclJB+TUcfIFsSFj8UR+5pPYflyrsX1H3n80jovfKGor22+wNEmbm+TOemHnyMEa//QIck6O6PP431W5ySFDr/qUOYbdkBKGPxuJ7rDPQfO2Ig9Ve5b6zOMJYr4CpCfPkmnw03NyKQLY+8jmXHu5oM8ct0/QAbGUmJ1DM51c/yQ87GdjMNYh4sJJXntecdSezrEp0g74iYlDwzS8e3U9ImzAXgIJe0NIxbJC7GzemOD9sxmDfd6nK+cqY/k21JEDvix9phjs77/z4SUtppvql7UZcf86F83trKsemXzE72wEjSn9mEkMGtgPgdEU2EtemcRyW6ti0aauOWd8XtU+iC97dWbDdleCl6JR+KiiOUkRrtJwKbSjd5VRA3c+X/swPoFHUS7ucvTXE/ltcxnAr2Cw1bUFm2/uoNjKDLVTJg4Qx/wvMSTq6Phg5XTX7JNIxyqtIgeRWFzzwiyw9mfgSnYBX1XL+fPo/V9+b8mCxeoTKv8sjTRFvU9A95IH8APNDby9LgEdSsEHkxR08VVx4te9OVS9vS8WoAeSJ8TRXjjwfQ3+BE39SbqWAX/fQGdR7cyvsxSc9iHKZOjonqgcdA7dp0vjTefUnR41J6gSQOZj8Kjyn77BLfDcB5hUlu7/enZuQGNn/q3BfHQJPIo6sWHGZEB31v29AzeyOtKv3NTvM1d+JdVHjaaZdL09vzDq4w8icvrUq6ANV5TwpT+5ys5hcuu9Gcsi6LQkzyzfHmU0zaVjnJO9A+TbtPnYTtS92XPNDQmXlHjTKycQ1aZ9gr8DHv23YY5WMtY9sOKXCLdesxqIKVMGOpinXfDOcRvbswUZk/4S00cJPhee62rzaqohuxOkytMaSAI+/tIDrQ/wzsffOcUI+P7ZdHqVY7uphubBcJKCDnhqiMEpnqSdqw52vSvF9GbniOX7IFDAgEqE3oXRTxmRWQ34rsPsIXqcgFbygcjubMA+cN3Mdn9++wQS+L3tT6PX3k9ZupEsOJRd0qu4fECsVrVjcw7bne6XNBv1dyZh7wzbBTj0K3X6x3n/b3PJZ5tL5NVd6TYFR3Zmtx7m/MLEtY5euVhzcLF56nvCiSg3+R5it7vc8sLOdyQPFTnwfgX4dA30bGepT7b2Yk2H5B1i/kIi80mdZCydKawKsKdQ23q1L4WB6eLgfDH6nUbJ94ttTqCjyCC+6Eg2OQLdWSjUxKHLpYE3jj+zMXnPf3rPtu+XHj4TcD+Nf3p12Z48YMt4hX3j5H3pSJMklwjZPMxd02+vqSzR0TUvZqty119s7yrqtAPZ99ejg4zVDqW1X7B5GgflWaT3y9jueVQiyf7a3PyQRu2Yrq2t23Ev4/Qle9s7wzzBGJ9qQPjk0qPkj6sUyatP+6Oyz73+9cFngmZQQ97/+5lPBBzqQpy1fUYG4NSNHAzKu/LePLfnzCuXGpOgzufI3jvpMX2W/QJ7b7vC+l2rot1na3qvh8zquFctDJCXmEBXrWqkpOkO15zhve1JREEPgB7Z1AxisDN7wp3KRmZIDQ9ECtzWAzqmZqp+8jYEaLBe5Q33cx2JmeMpyoXY28p64vqvXH0KTPzViAAfgf9ID3zNMBA5jsGmWe6BP0FmYYa4maQjY8FRFe14XINCDbb+INmALyXUtHnaU1oh7oL+qthIj/B+30ETeGr4PT+8SVMCH7dVLexM7N61/S+Y09t1muteqKpXvhYJ6F/sMdBgyva+DumG2blvkf5u9uIGDHq6CB0w6YtcIsV+zs4Cqz/7xtm+zmBPJ8d/s3NyCE6Egr0rRjppMe2Y/fP9crpgzIE7E7kHxgDGpVFq5ze6pVHPlAu3HIOTHpJj5gXyAjGpcshPH+Of2k/T9uVPdsTPZ8Gvwd/aWn9BTspkqxR6sT3ZlWhLGqv3TGo7fyUWEGHVHr+dY8VK8N+laD8Ux92FhUis5SJWmxDVejWf3i978ZGiCVjP9GXRvLjXzkOruIfFTz9sY8/OySkzyRVsNGEGA+LY+ElZKm3/FD8XPcqrIknTrnlCPD3xkOwkn0Pg6Qx8ylfG6QoakNiaH2Zrqovp1bfnfzmXwtZ9vtUOfT+uYmyKoMwj2tu51sorQSvp/RlbJYzfUxfvT8+tVw+lcym4C/r3K31ubU8JdGE60LuZqIE+8jh8gI9502j6vV9WzPas2/ZlL/ZZZ0KIG6DX/j1B72cZSkYOuls5+PO8b0O9tj7ppxz2KtZy8WsBvxfJqcGNm0fKqI4vTa8esL8SHibrhalnDSv8yqmws9zqIkUXY2eMCVcWhlS9DsReDJkRE8H48yJEbusdxNAaGaHjzyw5JoDhUQHvq63d5dQAf+g1ebsUlKp96NaGX6t+qhrA2pctZ8VE2Qj7rgi+MogJ9R4H1WiovZus+RxVwKAC44ztQ1R51CMSuBx8O48NEchWlqshc/33Gv29VkbvLmHbypA4VYj6E8I73osXz0eZI47K9fcqbgfBSQWfN1aOPnDTJsLdnoRsYzpQ8KmT5EYkJQe/0ftfIDfdqnfuqVw+NOtBk8D6enwjeiEyU64SomrOTXIJlxcDEIaCuxxazgZzApvCwtCe9z62TSOtq6pc8AfwC96TpSnwnXlkoUVQCPfPko2CySF5VmBbP3MPJH1ruoBRSaNySK81MPE5+l2vDcTUMZWNq1Hb/eRDC+ODVj3L3vZuLZ/aRbafzgi+dymRmICCH+dIePA9Fs11ezEKYjB6qnDeVUPpg30L0GqgvvAn6L4e+P91tpzlQofcxVc69otwVVsVyvaW21fCvCsP2JvpT9DaEOM/Vw78qMaJZkL0EvaM6jE/Os5VOM1CQ9SKwjzzcZobk5ifOU2oLckQvhjbJaw95Hvic35bVawq0tMiB83YRNuxdBWsoXra+ddVl0TVANr947YB5rO9Pq7Aqwct+X9zpdHnpulUD7Fwvch5Le0c5pUcsxW/+h4gwpqlXLVPPv48KlcMemg/yzFxdeg/ydp7AjRKKhRIA5Or1di+V6Ye/y3kY9tKZrKqb642Bz2PSHX5+LMpXZPnxfSW7gNsZzvo4reeKMxYm533otCDSiRQiB62e2p7E3gm5X32OHmJJ0BDwR6EZ8b3SgQpvKcbsPzI+wSzkLrnyLiwTAuTZM6YuuuYWG262N64Taxffv49j5ORmU8ETPdVF7Ze/689G8R5nPlnBrJxFDE1eENH0dGwvF+G8CrHKT4XQcYiXBCwmpNjbA/Pn56hel/6ipFv5Wpqc8Hr+FXHMVdi/HxWRblRPfdLFIC/mh4NF8eTs33yfgGu3r5z8+9Jx7avvAkis3nq/t9a8k9E7VnH2ooLT/I8Qu0Z2Cl3/Ifs7VxyZfusFTz0X+eHZf4xKwJ65szsDJYtOQuIjas6ntA/qzmSXM6VstmBvNmkYMD1+NetCywrMxnJ2ifx6NiA7QuspkZo3qwkL4WwNcxh3i+OcH7ziFo7clitwPNy6zcQB5k3bfLocyFDe+Ru0jHWouoD9HO0HRqWuOQ5DyUrXSLbhyzaTT3Sb2b1hPPf3SkwRkDB9CnEWdlvD8xZXjw/cu4nuZt82/t3bQzwqp1VHT4kS07kuT2lbnnna3sC1jR2DgcNP+8QZ2ydjsvkdl/bLto4KWx/tnSPIQZo2niNd3QoKyXZpSN59QdgpF8O1SpANxrMw/CR/8wSS13R4WdTiOVikiczeqlD8TrLWVmoAi0fSx2RkiH6w8G1h681vOuKb3sRBxnf244+B+//q9cLUgM8vRp+Dn0CNvVl6w5T0ONZd3BoP5+Onr4LngjbEwe0fy9lO2f9J7B7O8D7X2B/BhWf7CxYiEWNrXFiagU/2mvbI/5UCVr+77POKpoQG2zV7XxPHYipdh7ECvujSG65R2UdLa2wd15SU4YM2PtsOfRU2j7+sN/sc8PfzUWI3zg33xz0QWW1BSdfoHdsHv6LN57HFX8I89eH72JrElvttjvWkU44eJb9HJRS2J4HCe3xJ8d0snNzwN/nTOqKiunYhNO9fs5t2etTGiEf/EuaMv3B7dlEOK+Z9H/76jcDRLAivMtYeHKvu2ZAhHT6SWJ1P7qohWi4sZMAU1e95Wg6ZqOtVQzuNbxLO1UlEwbirSbwbu/UE5+gq7yM91410Jhx9Q48+erp9F8dzYhdMU786Nn5RLAHxhABh1POlKpR8mb7btSdKc979aF50oGfx+doZhAfJoqCmEQ2V2E+NnGQZDZXzSUpE0CCTEdk/zqPmt0LRPTTc/7UHjYXTr9kJxQJ/U6ERNbuvNHc9qoUb3JMHfUzD7u1etq33ESQ8dKezMAJ58vwWCQPHR4hZm09c2wvLvUt0PTyGx1omUezinebvwN8cajdzQLfa6Ok752sZQ46B3cxVb0ZYX0SipJ7MzZuhaePc4gGOk7pJXKcdMAR9w5LBkRSSoTEc5un7uFuz0dftRX2Lhp2k0uHpNe97kA3I9AE36Ct35ufHnLptWH/HDESe1ZJeDGFGRenbCg9DRyoo2UtPfEFe7An1p90BDGmQxUlM48OPuiZ13o59RDCOvI7WVXahNss68S35HqfCbzA3kubiHxV678n6NOgjvEXvNevnzurXl/LQW1ov71XiOSpzRkbWtsLzSnt7JoQ9IYLXObOr3PsA8Tf0xFRYE0SVuFyKp1/Sz6EjuqVW/c0sWfDzVpeG2M+VD4vErgl5+RGQ1NpV7GsT56ntXTzvb6DfywhNpS2z28jG4fC30JH+lvLecHZUrN/8CM55bHt80GusofYvjfA7iXokMNC+m0H+hbU/RaRMXmkPAWGwnkNPpd0/dIY8QC7VHmh4f0u/BL6R2bAWnqIAjx73SHugAVHEieV6Ft8cg4bjsg7/fjjnNBflA0UdItYwH4/tDAVwTQhQqdcciQig1n051GK4ECK9iwi0BKe6YDFjzaPFhQo+HLsZEj/9ku58BlXMVbge++yJ0nDDU2B0aUg9izIgX2aszGpmhV0WUwjiDF2zfDR3coc9mZWtJ2dn2zP1GuvzS4fc0Zs36XIv5bAveDbXvlRPz3qUmeyfeSO4FPGvNcTlYTVzpZK7hdpH3qZsHmC05qhzFFd+QC9/90YO1OclMAhinb4KuWc2HupivsBvKRFe8DRHRHgW1++911ieqfc2Ryfs3/Zmw0fp02F4BuwDMG6nnXYXnkH7yO001jtnLbsQTz1zJz2TiLyXjrzJ2fU9l07U1lu2EqA34CZV3pna5CCPnp91kfTNejo/PE5FnvwmQ7HyQ7saj2iBLRI7wuj3uthess/tm66Ns+yV19Zl4GdqHPj6S+2uyHW/8wV3ZSesvMJA2KCOB9IlK5ksbz00l96VKpBmpx3W7caJtf2F7nktmZJGPJxu6adjdeBZI6+NgL4XPx9XkZbh9H6rMDzySPXJppKNjjXMyhD0PDkv7Mx+tHstvv0Y/6/np8u6A8GihfhDXMcVDnJQ8RJdLKz4gf0IIOqNAPPP2Q+yec98fiTDqDhuZ4riF+g2WbltpWdv5av+MHDpQNeAB/SrpWrVtsv4ZUHy1Zt+z98a0+3R7f3j8/tV40nosEPpLYP8TDfs14jGk2qKgRpIv1W8kU17nZhof6spT6n1kvFScjR1IoIP1KhHz/7cG2/K05e5wAHEi4Y7KFqsHJqJ/EvQh9A358vkhSq36z6Y7sH/9VVzpLVbjI3zuSl7hxUsU5tPLLnX8B1sRgo6N7No+5754iaRxpq4E4Rp+5vv+WKFxQ3q8qk0CP1EiXDw/MyzCfhhF6+Jh4zSVe7wKH436q7v24e8isDlVYxoKl+6c5Rho5rucJrcBXf/mj7y75HDaw32CpL198eQWUekkflgM81+MxsH5w9iUlXXm1PbTHgSo3lkyC1uXSEAn/5NRddurYDCRNyDqfM/ixD3Ss8HVnY2jxK/6eebE8OtqZE/fYVuV2Pa3I9uho4Q0DM12+g9VkmH5vMwaAHzCr5z7yQCOToJyiMKONAkljLVCIjQ5WDrpzlGMwKdDpo96Fe9Q38mMy9IM8RvRLuv7Q5p0U7Uth+hMH6/PTSRqJiQUld8lVHZuWg30q5PdWOnhggJC0mXjv+d2r0yRJQ3gWBxDZvegrOuzknoLG1VF9lMSEKVnMO51f8SkvpPOWPdvRj8DdVKWhWO9lGh3oQMf6grkEkpB34r9PJQXau/f1/PdYWsMCpFPoGepDVAzDvz3z0fw/m2XPmeRD70C978TujELQvkSNs8hC+OUo8sjcHxvmD7kOkinSpRtPW0Z9rJdt9vprvygF/x+f5gqdPWpCAf2zLM1Y3W3cq5ByWrriWIplJpD6lAY0op1cerE0h8ykwBthnW0WGgMZG8Hm2z1yq7AyOTlAZJbAHHvYOdBVMn+SYnHNbMzaKCvSVnftuc9l7YEGkPcqAIeI6NBsWbct8N7/6s6EU6fTkZOB7Pje6MKhmdF8be34A/GG4a/lGcLCjVa/ACPeSiy/WbyfwR1OOknfKWkq5ndVtNYHqLoMKwY0eWA+xOQ7u+fCb5zA3XB9SjN/LQrklaIzLQE45/DHN7MQzeivB9/LecXlo3kG/dVXXvh2d5GTz3y9Wm3jE+dnjmOKLnSHoHRwpaKVEYO+N4gaVL708kk7Jc0FKuuKAy+1YQzzhtsuf+VybvZobiey8+bkCn5gLMTaclKDXD1XvezlOfOGS7MIM2C3Zp9a38paBboxUCFoV4igf9Ytt3oibbMoeI/D/wGuBU/a0yDw1q9B8Xwoa1WbC9WCcnKmNzQc8s5arWOWgqWM+GDvDrCr7CfggOBOGv37mXMiZVlxQ4D57HfrSDpKa1qEjBlZJUFUAu8fth8TlfznM4n+9+obJ1HJJ8yHx/+v1sc0vYLlsVQR0b5SBpjnjv0vDwFZBr+SObrlHP0/wrgVouJc/lFL4wAeZGpZdhe1ZpzDAkhsuplMdkmMeJ+/axoZ8DuiYfAK3eY2TbniBk6YPH4xv0QlNUxOKsxAqoliBHlABjYyBmBdCjHrdBYDd/AOOQwlopm/Qjmc5iIREKMm52oDv85qOjkBdO+6YsxbkDjZPzxI4XIabkzt9E+u/9qbQu7mjnd2L/oHEOKQOAd7atrRvXxr2DvbbZjYPAgtfSZ1mImib4Y+dl7ZQQUeOVN4YGpZd4nAuMO8wyXGbiwF4t9CxkBp81nbO8u0XA81t58v+zG+LphP4ueOZ09f5hp/LbcjDZGg4aJDOUIh6xzTyVdVvI4L1JDgtaT/Z88PSzilN922UOY9rDjpe8emdYkE0C0BXt6jumwX++zsbRUZQYOf/TWfx29t5KZlQzAu9Zgx+evswWANb6yN/5lYaW2M+AWO2EEdtbzGqIiJkWPp21lEFnJR9bD8ongLu+JEQ6QNIg5TAUBU3J1gHO4P+NVf6USPRpyhgdOA//fIvcXNXY+ApE9i5Ul/52l8rAYzRt0dY82s6hqsQ2T1DCWl6sQHmXSqw33OUpOAjC/gzI8QAozpRNXHy1Hz76vc1iAgZ2LvRJZxtX8JdymdGWOaB772rOAMfYD7KjzmlfXkHPe5DXHdLFLigXj022DOkwz0bFfgpHKa7GQMb4ozbfnxTCyQuU/G752+qMzcpUVoxfbfnhcAupbTniYbuwa5Hvf67Xnj4SNf0QRn2c/AHl7h05Ujdc9yK1Kin7uBdus4V/ElwXNuxwZr/zIVxbV2PetWnLLVEByLUQ+bbc4mEV454z4c5Uns6wXvMQCuBn8N5ZfonsHzHdzeISZsNMSTMgVHy/nYvnWbTSPyeMxpVHqy58zNb0yuNra8RLz4E/qNZaefeAzPZ+a1qEOO54Gs1tAbsdF/yP7A+gZ1Dn3DQ9dwRopLzLAZ0Lm3+yHp4SpOUKVZH0MYzPOe7NhTeCFiDi4BP5xcfvldjEjdx+CQuPvKQXMFfOGIHzCN9ePd0bdwWZ8Z8Z15b1QPohWEuTkhJsC92jhY7l/EMtv4mnIkLPgsJ7JqaZK5F5ohV2BqZV6+PBxtUedltQ3v+ovcHD+LTTRSg742yPd+rKhb7i0gKGZkzaO5Mo8Yy5MTD9lE6W9Ch7Rs1KUQuw6uOP2uIHAy1J1ok0vJys/79nTNCHNAp+2QP/DMK055BoSDwnfcLsI6MhOHRUlE7D25s32mkkzxSg+0sSIZkalz/Vo1tB3xvqvzPtfZKL4/MPu3MAFomK3sUE+/z1d8GNbEgVW82etWDxO2aDn4GnDBdWOjXo0HCxQ4ZwH8Ls6f94SHlxs61ibU8OBn331Nk7P1hq0Xvs+HPYnvhSJvLNpBHjqaFu795DlGFJ2Bdtalc8p0jcr1ImoHfospRd42TU2ZSt0L4v9kfHN7zTw781sh+vtMVbD5UMpctFuHnkhXBmfOlPctlSV0E2v7g2Pk2r7tR0POL7Y1J1nCFvf20/XKAOxKIp3Mm5/M5TtSFky/Zo+q04lFKghjGx2ZYenjGuJTY3lnO5eA82dC+lQhI2fUT7sxM/NSNLunrHSo5ueRpa1sPPsUYM7kQ5ZKCwjpK+TOjQIF9x8CwS4UOD4bhv+sT0BvYEZHYHFG4USF/coaBl5P3k8uBdbeE9O18BN+XFr/3y9ecBd/w3D13KDAMEI0L+i4ScSa3n0eP9MJ9uEencVh8sH17Pho8PVIWuOCAXVo0jj0jIhIXdTgVticI8QSsS0tYOB/Tkd/L9fcc4KSwsXklN4jp0u491pkNjVRw3jcPJpKg2Sfvl759vwz6q3luf/LdtNwWVUwIrOd3E5GPPDQ3CrH+5EK0DOld9X+epD8A7VF65r/n80XpIA/8QQGcAixHpgsG4CqSJ9iXoML22TZB7ZoJftxz1yygIeUJkd3R3e50mGDYD18CmbXqVFA52vYHZMpF4DvB74M+TeVvP3NOw9DnUbrYvN2fuR7R9iyBI2WIClYEMxvxjcE+JL2+N2G7wDv8r0fJYJa80O/AvmmKGrfq509gq9sF4jKPyRnirSvGZKe637kwvOzaRPU45TEoPtsPlnEP+Gulhfo8uSEYW3rVnjpf9glKR3GUu+23EirWwDDnYvpk7iyOLmiSgcKeEYYy0+de79S97WsJOs579e67+UcXDyraHn5mDjBccpckmWzf8mgrYW0EGRbx0wsOTXEdB4uty/2ZnRsLB2x9avjnQ+6DNZe6leNflIc3m2/w3uyzBzHiTRvxqhtlwMm0hngM73qlfAEtZx7ADAI0Def9HErQbzTCUxriTz7gY+bMe1ngI+iikOzbg51Nn4aHFbhegB/MmSRplW/fQCtd1W72apz85uorJDYywsBo//zS8VPQh7c6xMBpNBKDaZuQnDLXss1S8oEc+QDYwfEXc8UbYYlTR6F/icSzZP88JqdnHvr9mdGzzucvAbEGiPGlv46XvT5UHNFLyOHZAkLgOwCXxWk445zhK3zXkO7bnRqAd4A/K4xvJZ+W3Fk8seK+inQFunrNYxpfwskH3Z+LfjK2d1wtt0kebl+aaJM7zVqO9FSZg3NCQUSAH1MvcWxOOo/VcAGWAn9fsZAiHk+gRspH6W6vmb3bfM5rPcxexvi1ckrwxegB3/F0hu9dOmqBeO+l8B5eZ3oiUinoKQXvMRQQMy1jAadQKdtvOogHHbZz5ZlYYfpgtua719cLcLHGhuR7QjjfHmvPLLWL7qA9WthXUb0eUDY2CBjyqwL+eJ3bnFxTVuKvd9lzXzF1At/sVx/bqI7aToft8+gCzzPQmZHjA1Nv+EDhu9qcWuXWDKMzh1gpjFdHD1QNUyL2ek+4/sokaAjQcIpvXxx1Sl3yxsZpyGN+ted64HVdPdyA9/xC4n9P8JddPYBvKfiDmyTIh217iczp6Iq1HPRNxwrJHvhAojvjbXhyHo90//dagfZpYn1gLn/d+RLtTV98H15BV5oa1uzoKtsL2rLeUYy6VANZLntyOLqPTd1PvoyJsVoFbOUbWPkonHlj851Kl1BldSY8+8/d6hP2Xfhw0uE3N/VeudmjwodH1U9jvSczaOJvEdNdDfu/6g7PuhBH+K4fl3H6rEX7EF6gQFf1oDH2DPx2jkuHrNmausDwK0eXXhDgZ6QL9bjI5Gn7w75yvxULPqvQ8WDPiqrTiIvkrPqNX5npVkebexor9xz6uYgh7tqeAcPG1q4hIKqHjkA3eYFDJH+KKFlOa3bXnvA4PIMMySHn0w346nUedc8lAj+ObV5FXkfocd5t/aOnxtz9qQnnmZuEaRGupdGxdvEbM+UDfBU4FrBL63MLfLMzGHQhbF14zEIBvtXY/JxbE/555s6v/vpO7ZFZjyLQZeyENGitFtiO3olnBh35Jz3013TVtofLLe3AQ0bInhdtcmz74cJ7j3DbYPORr4GseYtAS7IK9gwwjTgBXfJI/c41A590tb1VgYW8xnC3DtV7ju1skuau9/8Q6N6hRna2hX477zmSkhYEJ4NeTQvaz7+EPsT2w1K5VOXDtAH2/FTigMA/zJeohe/hv2LlW40xF84N8d12x3oxgL50LIOBVqrqp+19LMLsvx6Eq+1jABrXsTPJql7D02mn7NWh6gjJZQ+kMI+wdwLYHzsWB6QakJ1v8jqr/KyiWaXgs4EDH3Wo1zSEmBnZ3JX5SVcq6z4ZBFJzhfWSFr1Le6xk0cbMgLZioIdsf7d8y9O199jH3OV90qk4mMg4QUxYcuFOL/0VgNaHfUPGVKq9XkmUCbCOAfRkhyX4m2/t9vc0SqzuXY8OaNJC53pVTMrpCHH+Cr6kyoAZSkT2eZRU1GuzitE3VYBvFVNFnfK33lyL9ibNz2xQxKNP52JnC8cYdA9HJ2eqmDs9ia2jRiYBSrlzR59AD0WNl6gzhwd36K0KQbeOdnYH3YEtFuBPQXfSBPYP1ijb/PKGSaLK5sw65nyRWwc0xCKwHgky8GdIlOPknLPkQaXZVc50r6Pte4WSDXzudOmCKh/pNcXko+ZbBTFhl4pgA1x8Z64BHzSXTZH99oOFvdQ3+VwxJ8E0/If07o+tjv1f35A2zmWSE1e0rPh3Ba5NYUe0wBmr2m0faZGsJ2fji4gSLjCyfRAaMzmSGTcdWuCzDJ3x71wzk3e6TFF/Zeu/R+b6wKrTt0AJMJEZlZ3HJdV35mowwsAAj11tHinfBz3E1+6CTZg5iHFBe9jbhPX4lBXY10z5wGpP7S6tdsyrDrHia3JSzh+PR/Y+GLTIbjuk6POuu7bK4xbDmvMSkFF3h00J+gE+91vsuVetYIf79Clj9UaH+QmsGAOnJXmMjySarmfxd5MJddJd6r98rxzMbOfdXzhCKfgrYtry5Gb3qvv7LAu6A90/gub2ZCg+uZyTJsQJRSQAvzIJnvg5p8FZJnsd+t9lkTA7g69eQ4+AdiYuvBmZvmJKf/Qo7Kefmrc3HZJnuXJfmzZT46etMc1zx89/ZmGy0Mvz7SwK8EGstX1e9izyQfkR58JUCsxxo165pHJRwtmCTVOui3KBZySvvOU8hnUU+lnt5jfCyd6eief958Lc2+an71+hIF7yO4/s75EvEPFT+D50j6uSk1OKhGBR8pY6B6eylRiutvPhbf+DNxnjWyPoiw/DZlQKuP0o9u1btuKV2ZxiDEwaHjZaKCcfJy/jZK24eqcOxECmPnPb/5iTUA/NvewJzSP4rhiTi8E70au+cmhAo3mR/eNZ9+TVQ/IEzNBp1j+AEr4VS/KmoFEpub3bRWD/B/isZwV7jBTtvQ5F0Dgokbhx7RxpGZEwd5tnxvDCPLWRUt2pQ57UO7i16J9A7UvVJ78znhQKPokJJrA94PXDE2wgOGORlAPmyoidvTvlvYjtvDvqokMz/LmqMHU16GwqffCTf5efnPbx37W0c/ecZM4cndgexHwENhDT6w5xgNjhEXjfjGcPLswXMebB+5bZvL1SThjsKAG9/9lwexZAPsv85lFnWirn4YrCzKAXPNCZQzmSZ1aQibhgcOinn6X9/f6c/3nlb1yB261PfuZmOubAEbnNK3VnkkZzB/7rWpkUeLWVECOMkH+uOQdS5I5r+zeU8gbWrjxtVJCJaW4k6EkH1tpoiAcU01VEMjy82OYhHOCSPvOARVIekp48/3is08Dq4gHstknd2dgaWTagrAJ9W/dG6ucWYqr/AKphJbc98ESu1hRsCuLKgN7Av5DaZKDPSKQHdHjZMhnokzm01SEwwqh9Bb4jGyeSe+2mtPVbcegCaz3Jat4yJt5Ld+HAOSsF31/B+gMnO2mX3sEfyLNQUhmdsf0/iDrmvRrbFfzvax8GeXyw96OwN1JfGb4wE/rwd93P3Cfn3R+by76jwJg0pBwUnp92IehA8ArOlsv4YOduTRqiI/CTPEcLrOnkpR4GJWFnh1FQ+781j0ziyYNYbmpuezjPvR7oNzPAY+5yU2J652Dd//vslHnTCpwIkR9npStcZtQXt70dOeyRWGC6u7mVI3gV6h3E/gI0KNPub880D2JNJiS+CdDSYGMp+MINGchKYlOl0U//cpzCWttZMTVrA3iuLI2mWEXzxyW82X5hdxmB7xItEWNgc5x64LGgkv5VuTOj7muG9e3JhD271hvOnSsP0U6vIpXmcwMayuaN7lKMkXYfjyaaz1kHvDQe/DSenjScbnZOXtPrkRc2Z4F7CmmfxNkTaCK2PThSeXCzj/ml9Z7Ka5kYp1Pj6LEZJ9CsdEwN6Xn372H9BMHgkwdya0Cj2HluDaMZ+ImZRrSrgdv1x/bYrK2dVR1mLDk37mFhnc3B5Y/GCyAu/ubBflyKdqN6MgHf7VgkCrXnoPm0rMFeSmPcPJrfQKD52uGu7kGnGP6s+ecGvsNbBZInA91iazTLj21WQ+wDhq5qkVzTwc58Emk5qNdddl6LTyfrlx7W8f3ktVj2ya7k/MrQZGs6wiqktv5lZ3uY167BYPORtrUJwKQCfS4lUqDVUGXnyV5wD8+WHFQk3hTOULovbR+x15mDV7sa4iERlWxL7QpidZqItg/LMXQwnxnscYGJozxsGkMciNWCG/NRSWdl+TyA5mXlME9qWKrGBMALFPyD9d/JeAGUBC591SDENehOiK9Ts/71gOk+2aqQgBiiY/JUqPdglU8XqZef+klgO2CCirEEVpSAjSjVhP+udoa85uYb9u53KcXD5uvWXKxViA6Mv+6/bhsZTzth4/Yej/Wq9xfeu6BpTCb+OZmHP+mQRPBdgoxjRcLlg49kTZkK9R7e727eV7wNWK8YByYXHS0t69Cx/cqcCWI9jqURr9yekA3L/iymlWCFWJ9dy5Wc5WjvLyB+gb7JjTrldp7yqg7yYwYtmS3nOFDE9Sv40ddO+Wz6T4cgZWeD80yYB+zlDuKDV/HUa/b9y77Wc2Tva5O3fK8+COhB0FVfl/HvvekMbwrupi7EmzEoUr64J2frNvvUO7O/btZPwCLTkDkYCxQ4l97WYwRF3W9NviZfXFIKbAbuOHnxYXDeB54QdLX7rOF/Fh3dHhTzVewDyUf6Vtp7EYaB6LSAaNDXMrkKt91kvdnnMUloHBw4X8J0sGeZdCyf2xz0PNNiEhoFz2ykr/N5eMbSz8PMP7o+tv2aml59E68VlBE7U8ypYBfqTn+RIticPDKlmALWmpa67bWSmwcpGlSu1M5dHRtgB8Bo0KXkpoYtViL4Bs3zOzdQxXRfO8k+X8lGeG3VrDg7OvZs2pjj2gBDqVAyOqQf24QUmZPKbdEMqPyZAblmHujkQriw9wtwiHHyLcFHkeLTUzIJS6Yj3f+eOQzwnaWKDgtB/zaXYemq3XZJ3T8+df+AFg6foGntOaZD7cwcpt8bbiBe6ZagZDiCRjiHdLEz94D77ilLQBmRp5Z6rGIxk1hZxnvlElvtzdVweDJX7+EdAxvanlfku963j4pPGV2TvPZEmYfiUDtow3tzV/gA8bntJEdFyYIgNVNYu2jNDIZtSKNqr8tqxHHlEHDk4vjLovzmNCI5sag9lF2LgJeockmemja/9OArYf9mjtpAzAg5eAnWtRHsZNAz88h4G/GB9hUCv81oAu/nAdrBs3MN0mGBGE6BJV5zwOdns8eJ8hq3KfB3KQKHD+io3PaDhmKTRxjiP2g0pmLJNezT6V5FfxzwaYA3mKXO8jiuqWPnX1NmPAZ8esHJh5Tos7KIKf+Astevczavcgm9DH7G3M1Vd3/teb/thfT1/6h6t+1WcaZt+5RYmIzpzRAQGBs5CC1Ae4A8gkFgYhMbc/R/Kf047/dv9BjdszNjg0pV1y3VgnXZMxdqA8xuetAF+cBNzc+ZDrsHsO0D9OYeeHUjdfv222fXVTfWT/taYwhS4EFdvCMWMfrwdUePQA8UFSdgX/Y9FeFy4sBfloa4dANu1ztC0RlbGfgtAoyh+2xsPdDOI+2V6d2XYI3MDA8iOepLZ7rnziTNnAXwXz0b0K5B+tVbDBYTUUbJZ20hU2hwhPd3BRs/1DG/Nisv0p4MVBN9GnFI0DvosuQiotKVKzA7aksMe6uy0XcO8RN87u4Y8jZ39RU09zf4v2NTqNcdotWYeREu/4T4ajcF6LdoMvOcOjnIuxRkxG5my1jfOeVRGqO86eegBr46rMAdvL3Cc5Zq5DI/b+94BNtwQ2Ad3KYBmjKmwcv+nS2bPhfXypYm52NpiuRZi/aSBs0D29OTwWeUK2hHvnPJimawyzNxp8LUMVewh08dfpQDsZr+tqRudlfAQMLcDXb9teGNDSwqgEdee3lSdmJyRCzQr0mOzAxz+60Jt/apJxsc8YkU6pr1/GbuRYmZuSs2a2n7Oqfa9CT9pCvfAN3cD45kJfDaKQgdsPk5H4DGXPQ0fV1fZ5VmNj1wjQNm4YAevzL7/U6L1s97FORd+xBCoYwlyNRHY4fYSn89TnpaU2ezHkxXk6G0U4eBP/26UuAeFsmuhM/HXVvwnmvQQS+d8kgpKsqCwZpMb7TzLyVFfe6+r7jnD9mDTg/nGxf22ZxlpaHl1qMOjqaejAOvBkmXFuRItHoDBjnmcSIP7uVxFERjwUHHoItaX/V6xmfwEjR/uV/xOWUoEDp71Cu+kUiO8KxdA2xZjTLDg2U6+N5lvh3EsLEhLlyo6WHTkyBze4/p7Hpwvu7gfzLQfWDTpo5Cfxh2/d9zwV7wD9LkVzuhQwO+l6P/DXHpoEI7kgK+vg3abSQ4RaBJOIG9bHsV4nkVKZ8XEzlyFTcItJab8JpDqBvba21hH/aRRWwf2OmVR3S7w77OcW+DnW9vVNg/NTIcJXfAZ2eFuJmHMIsu6YRugXNDL13R/9Vbdu+gJfRV2dwDZvrgNr+UbpKoXuW4S0wvY3PG9OotljQxczIrifc2Ad5a3EZfzKymHwZaTj3nQYy+0etmWjJoffnNe/gO7oTpqtoaGAoH6ZIP4CeEmtNeftbMLunHNsv7C7xndciKv1zH79MH8IrtI4glpranA11VSrb1Tud/nuTwd8f2qWj7yYfePkIMblxlzt5W/Jz7kmInDXBZR/0qhHbEsORN7Ed7C5+zfuft7bYg4u+8NzQ+LnVknjokpK4a2CApiTRwxLRrGGhHYEyIZ2fQ5TnYbyItUw/YmjnytybSklvqI3PbToltXDnI9Cb/OBaySkcO39Hk6CZ/fW5P3c5TGjOwwbWxdUC4H/6ey7DLNV8zhxa6zPutAM2OG8f0uvIXZWbnWNNsZsGBzX9n3ftKA2LnHIKe63+UXeOwQF1zAWvN/mo5z+ADd8BXvKLqwgs/rVbyBr72J+9+Z4+t2Nq+kV5bwKTWiRIX2PLJO75kjtrBvtD1mLl4YKsKp1YGmOeANk04t2zUm6pn4CWWVx/pFJgsoAMej1QfgPPuwCPmJP47ddqlttidW2iRsbln0AcRaUwD+Bkzq5ipN+BSx9QDgK2fmYWHzCag35PPJv5a8pF4wI/tKUxeMWXgKHngmKx1oCKIu10zWA/gd9DsXgKagDeRArwmHPwLZT0i8B5gnyjgTA02qjKIGWs5JOXe/T0rYyLCH+CZinJoAFzaijuvHpLzB3G0lbPw0ejywVA7kgFtpKXmksugtiVtuKSUgvU4yzmzE15pHZFwBs+DMjM/D9avONiNnQLXV0x+SMackyYfjHmHFE3Y9Mj832cFlaXNHK5vxfAHC/mhMaoA2BB03AH8dasisBdLY7n6U1bAd17ZYvJsWC9BsKiccYh0gWlWlzmNRm9NJ8NsnG7HfP5m4PeO+fY1V/oOeunH1IGWOlzqMXnQlVl5/zAz0YEf5Jhb7bNB/iEb5s+mKz1ZEMyDd5tZ80X0U8+c8ppbvantPhzDZJN3vrmrD6j99SBW6OV98+KoEFO5w2CDwKx3Fid2ObSaMbvCbnJXI7yTYbcxPX3YMLX14H0avmH9lytobwldXiEeuKWwHjQO79KcH1G04cNyOYXthQa/LPp3DsDPs6kGNjOXP0Bb+eW6u9Lz1jtYs+kdFYGOjYw/ML2qGuBnpdsQWE5zW/4QrfM0wrsjaiewzaAJ5Z33GHQcxNU4WXDMTZ+iV1+RlrjkWa/Ir22NOcoW8FGmYvVWh9gDln2jAweWAT1doI6F9lS74BPdhNahDGtXm1riKgcsqk1tw/husRjb9citKvy3IUV7Kzv58ocuEZixaEINwkPD8DfRZN8wtIiRJ7mJtZG2m+dszvNuoCufp4JciP7a1JY3qkL6uMNm7mkoxBaDvr1n9uQC0ryVmr8RQSYpNq85CKBDFDoine6B24Fb6SlsTI+J1Mx04A5isM9sUUx35vootYDQhHfPTG/mCEcQi/yDyRu1+RnWAOUWD4BNJtnvHhVKoqzTO4jRLxbtRGiHx3C+cO5r00+0pGRHebqAX4J9aH/Cz6Zp7AeV7fM6QqRyVQn7AoOteyfGC9xPLY2T+BhLdCraGHb9popIDzpGEAf5qmhf+is5cW3Vmlk80p4UwE9imwq928gI9FwBvOQmBWFklwdtwq1/DjDX0kS3O+/Ahw1JVoVelPbAVmPvwDt1ajf5ptbk7h1ZNVF5l0Xyxzbw/R8ksu7lMEH8VZWp8ga21jgEYwkS7ygmQcLUA555k47Jw0I57XZ3CQ/Ph/Iuiua+NzcwoTzSQBc0QmEzbCxszvM73+SivOyw3ENMUhZuIT6WxE7Xw/Pf9Vgol/Zmdok9p+fZg09wTA57yk1NL2jXtf05rJw2qxTMMmfCCGCN58CT4H/s7si/1oOdPQ+/jNe+tLktkP8jIu95GidmauVr0wdjba7ATKCl0VTZoFOH7bkGP18PelVRcuTM60jB7o3JMXY8YIOHfYrM3TvoP0o0Q/xRdqBUYm5+5ytf1DbzChprLsthG0ozT4qavn/kU/E2hT12TrvWkeftrtbvVx41a9URj9m7KzDUVY7ToxnVQcV8PYXepDryJkbpHAPtyFFegVtK6iSvnPaJmbxF+DM14q4K1dPcu+S99tR5tkE7Z5LtnEzInRzMfGTTv4RTJW6w5ijKh2RW7PHcW+hifCn48BB4zG6G3gVN3SvWxs3avu717IpjCT4zqcEn1b264T5ZQAmCX5g+FOgn0EBRqv3PKkIjZwR0QWjD3kLpoFsBrJUjlAqRWqcCv5HwBtzgR+WY3JSYPYK0xV38Z4c1bUHBIvdEJWg3XVbO9k3E7Y6yJVTDdqpAv2SDOgIrVnWkLploB9rpvHH1UJ5n0BPJhjhfHsQQPw8X7xjjjprZBGwpFYh3MqSv/TXQMWFmFnK2hrZkGNZuicDffWfW7rp/bnPTq16YecsUFyfQHrVFzqDlfpqC3E7c9DSBd8cW08+N7q2kaAbP/6/mhDxTwStj16/4xUEzABcecQx6ezX9r+1bTv0ceJyUfAd7ewZmgH/lSdKEtgN+GrNxGmQYgj1PoqLoG/SvqVtgTWTbpU2ue4tceDT1sBdk0//VcnpEKCLHdlcXrSzp7k47bHiRpVT3xL4Y33yljh4Fw/yEWr9kkqhI5TxuCwCRhFjSN7ObZKjyjG1lxrBUcXpXboJZl3wI/ur7fXvknfzk1Id1QbRcFeXu1J3GnaNCspjpSU3HeyG8CvTmvWZTwO3pR3ToJkAzZKPugM/yyk5iwvAeR8lGDZsHsOiZraEnw1YcafvK30CNs9jHCHjO4TfRE3OPWjTF9CE6HdUFu1bgF/N+hn8emzTYbfIRI4F0VK4EYrKcFAc1GaY2Ftnd1LVzhnKTIykQ7jhoNLDt1/nGnOsJnRj2VEFS0OVpE6i5drko1wRibPvcuyhPw6+Fufx65Kl3CtNrajoYIPRUoy8appdTb/qJoaK2+XREfC6d7FqyKU/Z9sjpXy+Cax3yy4nvnNzaeWIw97XseRLhgwgpKrHEwFI5E0uUifCKXQ27Va9N31tUq02FWpSL7YGbuT9cWWlYLs0AGsWCzy/0d9OpUgHTvXLnsLV7HtzmUfX8E34ul27jpcLzK+onKWhJHCYEvg/sdyQZeFrGWpPLAxoE3ateOebuP+d4FVp+qnC+m/yz08gD6tgB7MsUdMcrN9VvQAWxUaVN1IBf3lrkuTXzvq/ATKAn+ble+TOlpXv62ILGbacclU8KfqmiBKmOX1jBfdojYeYdZwNhxh5SrouKzeiEfFb2zctHWRBHnSbIgB+wzoo2F8BLoOlXDDqpWv09wKYje/szs7/uwBgW7KMxdX2IAj5wIhrAbhnsP9MbcMdtohstgdbhe4zkWor2krH5lYu15qy/Y2vOMgftOUI7YAdTe4/3lj2ffufWkKqCfcxWv6ujea0csN1Qwr4258aIM4jh6Rpu4P8dGqRgnZRFgf+bTnfsY7sT/fJ3RiS79jMF1gP+4bCmj6ZHY02/VmYqCB2+B8YPabg9gq4acgfYoG834PvSU8RDYFdteggq/XXl7gViHr4c1p3JhQbmmg8nzQfQjH9nescI3UoxWTiWV9qnHnfap3zenjJSDN7pkseoNPeuLCDfalBFGk2mbvheC2+mNHmeBnmhAr2JoFyAZedUtyUbkgr2bEc7MmP71UMS1stGHnNQxLj6BP0JWuif0xgmRKrKRz2ehN6klg6OMXAYk0vD5gvojAcwVydidcyL3smG7UKACWrNU2C6/mjOPXtkNSa3ZPzLSymV1V/B/xyO8bsHa/bJOj/lzswU31nSRklp9StZ5Z058zFnyd7MDCd2+ciLFpiKhBgBJ7Dtmru8Yj1OGyonZl2epbDBb+BS9LtXTDnkyPRSkIfMnEXYpudg44nItgj4ztT23+AfiA39AjEkb9g/S1nJSCx+5mZOKm8PoDuv4EcvDUtWxX1uchFgTSRokWsO68od79UvxaF26CrTE9PU+rq/NoSANbJ64BnYbX8S0/UYJBQP6YaZed/9DL8AbajLN+X67oh+O3AH7xv3cmfB+yOF2AJ2VOKgBbTwQWEmf2ewe3fSoDVu2NIu+PT0yHhUWyn4a/6paGlTM6f2OQekLxfsNB51PCa1b+ZBuKfu/VHBZ8KestPn9keGyPRyT47hxKuQj5nJ93W+XvdEP/XAHqBjnkfab1gIJOpOm1PUOqXLd8TKXFOzWz7nJ2epy/i7S02/VqPN8rndu/6oKKyz6QEKnF4+t1nz3Jo+KG947a97x8xyQy/eMH2PY1Ioh7vIlt27ndH3Jy76hxIe8Gf/H5vSllUD5njgOhfJD49ar2IXd29hRIZZn3i/4aandg87NULXE8RceZ4fpi4Bu393HJuDk3mmN17F8Bmv+HGkGn5XY52Y56fhVPJAFSzgqLRADwcJzsQ01CPZCQFrF2pcW//ulNk/wGZTrkkoR/A8PX6At1oaJzGdvV857UEFf5/aSMDv7WqROuCv4El9P43UBP76Ap9zrzop62FbwHvyKg57psB76YAe7r9W8KerOG99Eb87FeK3OvLMWuR0VG8Zsz+k/ZdXifNCSbC3HXXxXImpoAXovd70sN09wYdUxNryHE0H8pyjfJRRZvid+x8CODmzdYedr82R40WEyw0ETpeHmKgVYkeUOqmtCR+n15neVYoMYvKXucc3M4buoMUqGV/cyp32lXv57TNsZlikAz+fRpzWAqXSRUQJ68pDXeGwtXI7eVMxcJGb/IDOB5v2wG+rI7DvDdbi70wPs8XCnexKMQ9HlDiVMyVVtHniGM0suj1PPTqUA5pgn3+UjirzHPzw2tqg2z9Y4UeiAO9QcHPu9qgib6g7qdOB3EQH6p0BCwj7tb8WZqEU/FZsZgODD3mUmvwAz5o5qJXpEUaHRTO2vZgaEVjLngKHc6vdnSLJq9X0LWopcMEjHdSddMTPqTbzHD9PYWJqWSVxXjx/e1Z978B6T9RFb41GKw78I/hmAbyec80rLLzohFBZU3aVfJpxQb7lsHEk50vdcxe+ZwBqIjCzAZgTXo8iMTVfQkTEhf3HsoGHLx/F2MOww6YO/22wzSEWMvAP6pANbZEjbOcft6fgmmE7XGTsL6Vlah3xKuMvh0XbTxopza2bYdYL6FoIKBj4dLrzNQlMn62M//U9AIWBjjWalprpfWb3D9BiR5Onh4Xt4uL9cRJkxdH2QTVJiQZ259ICZosFQj+5sPfE9VuIsxYeZW/OBcgAsSZUG77K5chbSwZ/9eZjQ1F54snC4i+P0HeXrdxj8fudhZ6Xjuli8pxrFyHlzCKnSVDm/5Y8RN/c2l7A31/Ab0j4fNPHx1adSkvebMSozB1Gzii+sEi+ciokR9JSzNyJtCN2sCf6BLRHCn6wXyGW3U99O5TAJ7W5f2XeYs4k+JAswC1LE/uH3EWHBmyN9vCyhG4hFi44VGbWBuGuf6Diby9rM88iW9tv4uCiXvV9b4cOo2TfjDs3BV6XhclnXMJ0JE+ItaancEwQ+D3QrTwGm6S9tTecLhYMnAuxWbWwX7Dq8RUYzC7F8v3K7cFmLthws07CJqfxsjlY9kqNxu6lnxdylVZm8j79Y8TTGumj0fKnMfR4v/0oma7oylcCvqyykKMC/cHGBJivWU/RBWLsBL8bvepTzpL7kgz/LIh5pi/6o7ZlBawH3xHvsLWsdbRbylHvsg5bDfItErAnMAHoZjnUTssk8hOjOYCnsyrarbyfAvAHT0Exa5x5YP8Xv9aaJmewQ86H5SH518b0b+R6d+fWDM80U8G8thnIuXQhTrkoawL0Wa2tU8fazJCoCPi0JkaBdEl1DL2DWvXZZInDW+7p+r6eOH/dZU/Ahw8W/nNMD1fcm7usx504zM7jRAA3nJs4OZJQMRpjh8Soh+8wMxujY9ROqfN7Xz6IILmA5jI9l3fNSDoK3NiIjcmdfwJ3veIXJbzdHSMTa5CZk/tZI3kBf7riUX3nGpUZ9/ty2H7TgfhpP0G8sK8q9j+4aLkcMu/U854FKqyD/sn7bJP1qmOdgs/gPaXtLdeXV83jXlryqPJ/LnY2G3OPWdmw79k2Ag5ozf11KVRcWnI2tQs5k4yY3pnFdM9Zy6luvVJsF4idObzrUYT4Bnv+mY+hDRp3kwnLAeb86+1cr6RtxMNTIx+B2TcNVcdT97VWBX9Qd7fSYQvMjhEzvczHaW3cKWGwf/Z29oT3luIIZ3mQVGlE9kz7mRpsVPakovFlOaztAWLo67k+au4XjLefx/zmYtDekuOeOm1WDWqh/Zd5R2/wLjJh+rCuXO/tKRQxf2vsHvhBSdhln6AbLscQeERIxOLJaBVe2snaBLysu/RVX3lN4xbzsA1TKm+mnlIVZr4L/qns8p7aSZ46EyYcmf7238rmwszEqAftCfArR7q7yn66yVFqvKZrHmfPSjdmbuKKBdG1ze58xK+7G1yH6kB5eT0JtTlGdspBtyl7ksBRPRbAYQUuWWSbGSQSOMCpuvIJDGQzO12ohVdm8nWBwESvY/DROwpxV3AfeNT0mEjgJ/RrHkfF7d/eVZoFX1czT7YU+KkCQms28Yy2IzBlC9pz30TMOun3azNOGyzaH5lvs9TZLcT5t/D43TrGuq3stkwHpE9aerCXZBW/b5pevXjez8ON11jJBrTAN2fqU9kkaIbkoFyesOFrgWdtyRhaQk8ZQY3Zo+a+8k2C30hNLiDjBXAC4frrCWsXwp5Oaew/mNWD1n5s6uff/JRCidKWjtHnyVIDi9aonTKtbTK2lAaoaKL58xRIoGhlesXnYkBFbWYdRtbCCrRQNO0VCmEN0Kfk+nkqpMyjljTD/OBOuLAeve5THnSYMtDdPommDYnab+W2N0JVBf4wF8J71qAjleP9NFSzRnisCfwppUrnoe1RG5M67M06L3uXj9RSvLGsRxVPl8Nz+w3+vC37P2Z7OwXkkOVbWwzkJ2f6TCzwl/n8wZk3ibDtT1xXqpCkZtLDAhPg3g8VNG7KlnMJHM+FPOadqf+dHBItpLaWH/CB58zZJrmtzrjf/tUvE7Fb2bD9qVhyLvvkBj7qB3RVzM5zZ3JKgJN3JhcRuOYH5+bOto2Yntq/OdIras3ZxGngzNyjKKOHwd9VIzJ1uW+iV688PdT82q6+VY59hfdv5ldiM9uRC3TBwOaYtSQbkkfaMaeJselnjjKeOWkBlrCas+dW1LHhRzxhe/puPrY263tzh7hnv3ER/a/2ds6ETvKmJz81vzhShC7E7hR8lWFNsEWVgY7Haej57L85qQ7rCUmdbKEa4hpozjpK/NICfnUmDjGwA/8dCuA9YWZa9fazHFr+YraK8g1DbZIPPGJMf5h5Kg2X303ngz1iF+zskiJ0zqNFVDFPiNhGpm8ggUdPUfjAbHvFkXo0oVdmIuHKzizwPTmD18N60NUreXFUSCnaqdXf5Qg9qLCn2tSem/5FhpvG5JDqJJQ2/8gL8pD9UoHNl3XAHX6+OUQsVVXgKo/91NQfAHfdTW4JKdBKGPJMPjaw0MtHPctCR4T7094xmZ8JIS57ysjUPiTAYF9P6SZtZelNMybnfIB1EpOZfeKmBVkIkkduAYdRPZwKopVWgXSSghRtCPbY5iy5A8+/agPbejW5WDjINILP5FFusQeOmgd8HzN/2QK/21dMlsATmwwYrgL7g7g2gu7/rx4lWjBohuVYTHatyeMorEfJk0wMk01tiMuWenEv+MwG2PJi5pMEoC9+IIzDcy1JY8nlt4+1094z5599or85Nd6JqQsfZKvMuVJRugdL+vDM/Slq7Cq/raCbirpLgJH9AZikK/P59Vl2LuBpxERz2pagQx8pWCBlE1MhuZDndq6L1iHOolPgAumqDQYOyPu54AxHx0hXosisU+wPOMZXzux9zv1lvyrnRMM1Re9PMXy9fK+7f85H2KM7LECb0C8HvvuBQGzCkSTw7wHsS9Dl3Kpt4MPYzI7UKehJYEQic6cEHt5YB+DXgwtr2e2u1Co3+egfm5g7zNzx07+7tqiOy4Uh6Tbn7bNGBLOuxYSSc3rexnkkY3DgUdObO9nfHqzgU39zcNqm98x5Lviu2z3lLa+s5YOHvS1MT8mCVGmYPUze5d4mr56E+rfrfZfc1JB44JtApxlNrG9gs1du+jL0fEld/1FpNSlbFdyZ0N5KQc8su9MoS/CxT9n1DzPro8n/3SVFjgj8ay1uK3B21ujXndQsS/4F+1+tB0vlOed9GpCfFCWkdgkui/ZILK/C0fxb31w6y6Xi/AhRSteBujPGp/q5/YFYvOdoijI3tQjCqByRrAZrEYH8qcSrVvr2kBbveI85L/TIBw20mrq1q37Ah0yyn3/vVVkPrGElHJxBwNm/B7V2pl7GTu1pL0Zu8m2u2OL3ukccvpvp23NtbCIyLc1cmNf9l67DmVQcQ2yYHwTtnL0Fn2vLqwL9Q7svx9RowLuYYJ8dKfUXhfhyoq1Dw99Z948qBMsdzNzZHeiocnM09eqr3vEOdbwDRhr5Szu0qSb30pkt0wuryrcR6Wear+rJBf5uWBtCHJ3rNdvsbT1X0XYiQOen8zYrrZvJmZlT/m5TAf45Zi61Ug8j3R1cYomgX/NIuRn7u+PYNM7OwnbjHdzewhH5PLIlEsA4B1tOEpirdriDTc7B2u4k2IW0EiQZ9kv3a60LzYHbNywwz8QdEaZu+gT7KC4u7mTAon7DI/W6h3VYCBqDZtfSng6l4FVdJHvlmFk+xKMAsmJkrqDJW87lXtpTvLcW018eFFZq7pBTHuOsdKyFWHbYRN5RFtMeO3bIgCcqoTNggr/8eexO4Qm08sGdjqZO7DR4m1M/ZfC7bNDFnASIUOOfLFLW0cLoKL/TwmeVS1j5vNl03QGFSsFcNJAY9uVzPmPauEfGv9nH7NPob35lyQotTsHOlmu4MjELPgJbUJTBs+gUUGzv+leCkk/Yu4mMJjPDyW0sO4A93hNkmI5/yBUYF/b5ieIbPHNsaoaYZU+wJ4k5l3ids3HY+9yeeAWapoqUDX4PuAv9mL53FKELEV4BOgW0iv5uhonlq8a0mKJmxA8aXv7rtxLouAJ9SFY/pBEusp6YPllrE+EfGv5xb5E7cySf2y7XbZ857NoUKJNiS0BXMxx6j5ynVu2Qfc2WDGz8w8w7wp2W6mN2VAc7YkweTTzNp8EOIAJe8ce227vZ/RTqPUPIo2J+zWvL6nFyKDK1onwVkf0mxszGhT/zaEFceBvgO+DY0hXn+a1xfSKjdFFRWzT5Njg8/3mgb03+jXfqCM5Y8l0FmQv63DsW6aMOpLn3fGmiW8n4prL+PSrYq0S0z4b7u2rFeU3bp+kbR0NvcywuVrPuNsyd0tLVggy8rUdgZIFnYiWzGLYthihT2WbOIdgym77lmlnHj+2m6vErH+DRIGl6K3fwTD3+mHHl/LsDA5J68PrK5mU1JAk9bwfWq+BggTbr+Tf4pyPYxQr+HWL8w+ShSfg+TwoeE7hggj2YMwdLOmAn6/Crh4mX9mbWNqy7Q6z647bkljembJ5Bp4bADbi0vh5HRuhpTF1aYDOvy/uvxt/nipu5dkqInqTmPATsWNcjvDed3UWnbxiYEd7FSztcgFUz8D0DaKt9PqhVCf1t+g8fEewPFx1Ab2xAM19K0+lpQIj1v/dAgocbM29ln0OsqyDGSAuNJcgJ4EcG7/hQctBxa/qgmr/48Arc1526tmNmFjhogRPfbUho5svjj6Mg4E/CBwMdJOI25NZ0F5G6pzE+nLrSYyNaUsTDRpMzaBLH9HYqXbKIwdbEbaNc6105vr/uRgH4pkPueM7eliONQd+iLxsjU+cmrdw19YKN04yhYRo/g3jJCj8APgHLBO4WwDjO46pGcwatDO8cSp0UEAMhVr87sJd3tfXvZYeZ6r2YmvnYWpl61T11ZFiJNsvs6YxdiU/DPwfepWC2Nv2nr/+dR8ndMbwBF/gLDxDHdmpyYjjtjW9YSBqRWz7snsdYRifKX3VtMo/baxXqsuy1WyFJ0mG+m5zR0zj5e9v/AL+TZuBPS8t7SIp3jeUVpzixUsGBSdu47JcfM3mBBupJndtVgB6GmEsqVF5TM1+J+q+YQgRLJF4BBZxkqnpCRcHcCvasChcv5WZWuexPI3isUG9qaxtzS7Gc6x/V924qgD9AyTej1gqssnHmyzGfLyrKrnWnz2L0I9ND8ZVT0awmR1Si2vZjYIMdPMcPc+zLwcyQWfX3MQIdAX67HpMyZa3pkeyA9sDsubUhFupaTGkeT8DxJGzEfCF8B89zu5JBCmDUAbT3q15PnAr8gPeYgj8pmYPyzMwsHn3g5sfmvz5Lpj9wm9IBOXhUd2A7kTtIwHv6yHr1gRF2gMEOJ+pfwG4uvOdBo3vgSV2ewtBKrb8cs0UNpSc6kqlBz9notyVwB4P9RMATp+vuijv0SWGNcdh+MEZMv3uXhXxHTS4WAHmt5Rl83pW57Uaae1fGRWbq12xJROgJ04v2xaIlU/e9JdNsAN082DYW7ScGv60oBju/gc2TO3fmEPy/24h/j8xtNsA9fWo9Hq/8NQjfIwbtAWs3n8LkaXogHDk2vYMsZqvXOwxxgZbK3OkFfE+L8Ck4/qgscm2sfxZ3Nh6zQkdqP5XIv4J21DlFa2pxbXqDAwMj0F/PfP1aamebmrm0aty5Zk4Pd/r7qfuyT+f5FZcXPPJUrshKh9sqCozrldmpq8eMoQJ4e4a1qsiQVGYCIfgPYH51ycfLHTMsSpeXKdg8dmbgD2XVvXcRYXMFP3CpdSIzp9XN+H93HMDVrullDNyVnEa1qWICqu99xeaO3drueFxej9T3Kwsl1ahupgYmY5zi8OEwU23naHvvXu7gj7t0yK6Kc0d27Q+LpCOK6ZL1r/vlm5WJ9I6Rfzl16TNH0xk02JKa/sVds4AcP8vC5EbvFhra4C9aBLExLsfkQ3X4DQN/VmPiA3P9/OYjWcsZ/K3NAu0DNnvZuNvU/zeTy1NmOCLtl3T1GbO83WHFbh7gXRr4EehbjxXoLtDlxVEPEqYW1bKsu9A55luXgF7AEQe2QSv4YAacejzR3juKpVcd2lXO393oPhfJgcDbIue55NbOVQ4uDisSFPincZCZseSaM5vK8n4UJ1Mplk0e2n0TEotxP5SrnMBn7SkNlxz+bmrYWGvMx94BrtDMftVKz5T3846d/y3AgQ4F/lSRppndLMCVlcn5b2ItgV0S7Cqbh6Ab9XSjGoE/yK7YwdT4ZeUsnxATj0KTH9Lpg3SQyXEwMxlEHfiv/gALc/jMVv1gzmUFBkpSZO6itwUwLs5dfq4duRws8K2O95324L97/VN32GXW9AasOlVidlPGTW/FtnHR2HTlRlnAATTb5BZ4ZY5f8UtwKjX4gZ+yIztzU5AOy1QX2QbsOTtCTIT3cTudwb+ATcouOULM+awH9AkxzWqepqbeutc28XEE701Mouo9c3fq1xb/BH8UnBB/8eGVWXPFwwkxZ+s3LOkIrLn6uNnSCV3e2w7vFzPTXZt7U4h1c87wo+Ggwy15EVzvqkDNytlyinBQh2Yuwr+HipKSdUkP/z2YGcn/+6zY1NDU1m1pevQGPlSraJI1qD6IYyvY+VpZWwv/3jvNt1OIr3mBrIObOmRQGyZa00+kkys38+dXiCmHkrWTKvSDRh54BQZkNb181JO7Uy9YmwCnXWWHvKpQNg2Jf+qtDUMAuzp5M7WklBOexqBpQaNiiq+Vxce66J/M1X2tL2sa6IEDTDY0GU4Dv8mCmFw0ziLyykv5ztbQOfX4rTS9sAZpZ7Z+NCFiJ5RsTgGPqNXCrkH7SthzVbSmRzb4eRt2mV2kprcKwzqN5S6jOgcfLTK2MX/GGUufFfhrk//zYoA6hF/V+btTn/S5TXTeSdM//iGoD+pDleWoeVV8eamrSskuFmZtwMDqjkgvDQJGHPi+AeY/BaijOlwzu7fV8HCPsYoaoVPjXV++V6F2EUiWBzfhHDRGzfpN3ns77nKzjytzhwys3FXF9GbmzGJzfwc/q9iEsQVS2wUNGKGyQu9u2iW0HsBj0XYHWsz0HLFPWr3upO4SlY7sJa8j0y+enAVFHyZR6IRUarrQs0CdVZw+sUivZvZ2zeyffCVXXsgHaHBX2txvRHvA0cPMvoDvOMnG0rt0xeBn/B9giZffeKRF78l+AcaaUjGg7zIHzmalp/r2WQ2bzX5loIfRmcWgiUdeNmzGKRBNM2jdBOoKEfsiROKZ+anYzEqIkF2ampYuvCuBi6N41S+bmZTeQOO2rUbCYL1bbDNH9JqBxjmTld9O3AfV3UY0gnhfyFZG24WI6V6tKlLCM/z5wcT2uxbZM3NJlzlyFQFsZ9v0vZc/KW1fe/kTtH1k4jTp8SGlu3vJpMwdbupFozTyZl40z2Ng7DSxmv73vOmIz//M3PX4GOi9YmqT2b6d9zzOP7YRdrZ7WDuv6ZcO9tiTafaXOyf19MSRLHBEqhp4QA3Kyy1Fawf8rIsipsMHMBjshaStXeztrczc32wqRD6483jyVS+nELkStX3poLRiOsCar437tZGxHtjYln82P2Kawv5tnvOQMiV4oBPeywL2xgaDz6u03JFekrxor/lzHlmoSGYlyOTTSTu04FsGXOsI9ljEu3enDtUiOd6IqPGq0C7x8FcLQyrbzPcx/YzQVbnojQ7eSPTXowS2EXFS5WJ+CpQQrFsC2rGrhsszZV4GfgQd3C+3MfnXManKYXfPQ7DY80z2toI1lqHoTX3L8uq37ElKHNPXEbgaeJNvykLdpAD7GIDpO5+z8/wNGu14DIDlhsTMLggZn9JTSI55hx2Ixd9pwCVzvDTlF7vpvq6NrW3Te75htyWl/eu5fv7THQTiRXo/2HLgjsrzyLN++zKx3ktRA9or24A9vh3zf069vq+pywMVZx628Ap+SwPTRQQ+8xTgoBpkfvq4razfLqAtjwfHen3WHfTHmDN5rDqOa7DTBvQ27rdvDcTKvZXssdMvda/yakUrrLNIHTlmNj9WEQMfsFkE+FgpuOmTe89o+713+CA7iMChqaHTT+CY11nKLRt1Au9qzhweQLwqTqYHPwBp6pZ3xbR1pOxKOvJRjV8QW75WGrG7WuU3H7+uFbDtYSWyst+ve9fP6mEymf3P0kWhQHomQ/tdueiPN4i1RPA88hSDnitQnP/OXfR1NWYOaJSMR9Iv+2yBP2uFRgvY7cq7cIH4QkthB6C/NqxT1sGZxmOAKGYIYqz35IG/r5GWZk+/GLuhusuGBaxhKfkYLtxNGC+SoBpTm/bW9cRI2rjvaz7yO47lnumWiU79VGJrentiThPCVj9MkX6DWHohAbCplaQls0fQCvgYodd575QOXNYdu9ejSn5rQyJvyq3dlY6hU4UYNK5eRGhdc0SwcqazyLdvqaN6Nabu7/kDNTkG+OdUoFbGrZVR0Oaj77OP7Q/4fJ52/Sum/ORDY5/Cr/sR3snBVYPofmdXnCFOHlnYdqXeWdyyrJLpjqI2ToNkB6x/M3VnqVi8kqs30rf3EuxUdG14jPkC8RmYeZrryL40kf3qORNw5//Xpxa2lpwah0yNlXyYs0lmKfN+EbDNZzW+O8ATxNwh8Y5fqxj8cowosdFCtH+oY7yrA31snCUALXfOrYeZAfqar7fUsbplzuLzUYeMtXtg9kMqUNAUlzvXpVXZuhBx7zHausBKFsTD9BSQG+joVroSk9B+Ow34jcK6mp40x3jKTh3CDTBizSVVcf86g+1FITdH1O6ANd+O3P+t3wJ988n/q9/6JhqdTwyDRk/uoCUSLvBSrW2fm57xSAeNrVqwQ/itCcodTzZs55ncd+WWV7Dbm2DktV4lDpKYM/Sh7JYc7PbCnX8e1r4l0dcV2MMtTf4R11Vt6QQPeswhZvA+EYyB33ds0x/pg9vokjtTJTt/D9oyqsz5xQq05frfIvJeNXToRHmV2rzlQ7ZI+r42hTyoSIpTZGZnKV2x+YMPapcN/FEPUpamZtxKqOr0G8T/EI/tTyp2VyXkcAzkTQ6m7nPnVHEDGoMgGpFXTTGw89cqdQsWqH6A6VpipV4lLCeD2IvDf9d6fHdN96XKMvWXGpfDcjX1YKYf45FhmsdqD7wUwt77UKE3cv21ElstjMskGxqvHOZXXA5Md1+Tmycj+XEMfMG5zEzuCdjHpjRzXIrptw84/AzCbPvRrLqqAsIOluezTn+SNTT+8iJBjwrK2yNoAhZ6b3u7tQxBqX77Wi/YS7dVjru1AX1WDg/gj3+mfsDirurogMbS3jm52DrquY1SoKYjsxdpyavq5JS72JLP25105cqi3QoayuKR5zVa55jjA9jMj4rYqw/Mys1dmw1a5jwfJZun0k1utPBF7rSiKbKlKSaXxBpD/LulTBMV3jZHkUxpDD+npcWGpaqcm1MP9ga0kg175/M3BybcPtLIvnHx75U/vxwcL5T6yxIMcREQpwGfLdi/J2alTT+2T3j/JjfGPZo7RKY3sk/Azoy98zdGkagKHZXitkiHu/kwf+YB+a5s8sg50TTgo6mhfOkUzB4Wi7YoLWBnamDLTpdVqG0zq6YyPZus+bvRyQ30/Zj1RHL6DmzUEhlNm0y0pLYBEASpMoufTT27tNsgY/ZwinFsZo/kwnv5+Y+M6Q9gk5kNU1C66gzG8WDPOai69njK5x/D8zyUCPzAsw4YxOfp59QxM+/gDjST1Oh9PQlSNP3s71di4fjLprGcSW9bWKip+X9zU63fO4uwCd4d02OpETYre7D/sQeO9ifyMQe03845SmBvsg12+QV+45B2Zo40unPmYR5y0w/dgr3qKlN/zB6euRNTsK5A8K+cCjNDrTxyciMDD5WdBIyhKbWSzMx/odpPM9gtBxc7PH5/HNyL6dnqNE5yOJne8eHsHCxgEma7GQ0dUeAFNGWP2Zd3cJh1Cr1PYKlX/LJZr2xgsx8i2jGNds88Ap6w5szci2BTxz5Mn6kN9uwo+L7TVAMLSbCdFERnJRLTR/zRBBD/eObiFWPVISuH9TyCrTVDv8GgdV66MkXpgh1v33S+Df7jnLpTIvPb9SjgGQTK2Me/DcS2zWHVlgqtZzZyiOt+vF9bzZ7/TK9YygdykFx+1zTxSkF008kU9xC/YhnL8G/mwoN0shWd5A3E8WYtn2Cn31mHl0ZYHnG0V68J+LGlS2O9lGCzabTFBJk5uHzP8u1IAxyrERRTBPyx4kBw4MoAQ0zx0GnEXjX+zYflv/Uk8RRJYIsK4n7NluexAL7gKmycKTgVSQlcH9JVAhOES9lPhPVTSAdrbXp2PUXqYnrJql4uZgIWEf0qelVW1nQpXVkCa714HniyvIMec3MHfQMHxSmH+PCxvaa2D+yXgF7WswrKa7ly0N/pmqLEpPs6kvuoHjawZlhyh0TMMGm/RJkLhI/875ptTe6+TUX7snmj/1AaoWMebktYswMp4LOiDNhGZ8fQ9P1XSQN7n4Tb7yOSiOczqwYt8l6yZnx/lr3uU4rNLMgP0GOggeVGFv7SRJrUwga2Ra93OIthufzWqHXtQMY2r4AxCOMHxnHAHPT5393N/JEGugI/2VPkf5wY+LWec2r7Gxlmj6yfMOzlKy2mnQofK+7tKedS8igF+9q+8nu91NaPlGO6tyBGmrwXrSm8oRA7OGMjv9YmV8LkQ1OeAO8K8LEaD+gn7/gTW95bufobFl/u7GPO5EocZeoV4HvD/wcd6/fAeuR1R39k2zCNsiWP8QLf860e9GczLC7oUZb2ComCX0pGEMRGG1g3g58hNU924NvvpbNZTuyyUQh9kx49Sdfc6zi8Vqs2Sk6DH3BLlvz11c+GbVKDLkiRBP+pzV3SEZgF1hcD824s+XsHag950JLcTdqM8XsVzTTvE1CE7Zyx+VFH8xuwx4fpu6SEvTCQuhBZIa628d5ZXnv5k0bhYuYgU9OLO0LfwNw/R9p4qVatCsL7sQCeAtuthRIC6AL89IYxbJ+ChDdMWU0I/rlQP9wleXnetpj6n6mw7FP/uKrzVqe8/fjzG6vfcdfvmhEz0Mll2ktz/pOdepNPwPcSfA0HVDO99SAmAKNrxJEsMkvuGjt5q13pg272+LC0oI8G7LQYfh7WEjnS+r1/eOURLXIsH8CFOcT4rAIer4upKl2uKVc/1LJceLde04XPw4ptuqo3Fe1cEk6e4m0pgS0PjvmO8xvpEvj//QrxP8NjeQcNe8dFQuXIXvmidwysBrR4r0aypwG8O8uT3OrvjbN7pm7yIz62F1VIvrfAd5uelGP4ELC304LfDjYzuY+HBiWmR+sP6B+cRuouQvkDfEOJyWkJXnOlb9esk2Zt3JNGU9b5v/cU1fpl+vWIsmjdtEgm893gXTsQsx/A+WMzJFYOnMXDBHS1qSNKSCpa8FXIavLtJEGXYTEvzehL7P71+8J47J0jbXdpmLTgW34qanLYkqfst4T3YOuOBm7nK43RpdQMdgKB3YhHZmkCWoNVFpmy83xobL47iemQhvIMPliyXvPXfcv/Pitn0TTlAud4gHj1Md8URUyZ+udYPmFPxTTWnihUp0Y5gC8ZQL+XsmuLVIS/Zwh5aO+wQyC+zVXlas5GYCxgw0yjKncvTuNOL7384NHiYUb81EmsE7CviKTGkTyQMb2qNXvUTvI4gv8UcemeitbigPWUPWzwESOmuw08I2h0rQ/Pm6vyrUydL+Ch9qca23v6/OeCUnn1WrQx6LPKRr501QP4kJqGJRhdHAH8A5Efk8jMB5Fprd/vx4DLtPeAUTbXg7O5mlzn9GObHGETSwchLFqI8eFaIf6AZ5vleSvz4jUf9ubsHfg57aOj6fnDMpd24b1iZDaaNuVTldLdCvtkkREm5Til9fkf6PLGw8HXBmKMI4tpxWye62H6AT/nEfCnp2iitdVWB1eCTlEvnn/QHjS4rXanMV0grm9K2puZgUtZ+PB3wyVzbA3fL8bmPI7KmQ86T1f0feKtm3eoAAYBDevtT5FHQYO1SqP5ZLixX77p2Ls8XP6X93XbHOx3WA9ZQEwf6GBb5p1Lmz3zlZQ123hm/5m5dQTYt4nRTUUc4rEH0KHLkm33mZWBv5RdFS1gtaADmLwJqiriyIGAD8MReulKTIJ3r9JJkFkkb9YEooLHQK9bcuAyB3sXYXJjgx0BZwcysjd5j5JS/HPygF9Jb3lpNFeEvz9r5zc/eFaOzKqgBK5rb7mTmN5FrxxOzbQ2XHYBDQx7pv2u4ulWa37lo49AZ2zyKF2aobmDnoe9Zp4nW+u435y0DzayBRbd7k6sZUpPKUWKlGKxgWMtiHsa4qZX07/8jbXqsyeNvkAbzb7sb6AUl/84LdxZx99eMuW9LpI3iJ4fBPSPdBorc8FHhyqtQS+cQnQsXQyspzMZ4zsBv8oiDdw7PVlv3YmLXjO5rMbSgaDJsepwiqmecWTvM5tXwNRvdZC6VawLYfrH9dtHHdoXRZVdDpOZC2r6y7+JEVeptVAyJtr0AabuZInRzBRK1zzCsqbqdb6xUUPqNY5n5ghUsNyLCMAGXayPRXMvVx1BbDNTZw6Ek/WEyAKaZqlGX1e2RHU0aZP/t19D0Hnw87pfqAN+w/Rg4+Su3Mms3UvrOWZ+czM8TB/5meuJlZYMZIC71DL7jZxpV25qkQIvbTxK8ZoPNgPd8BSd/1DDtGmKNm1gL1dsm+NwJtxt/dzM9u2RgzXEuiH862VKQXXJ5/Yp2GJVXLrZ4PlH0NuwH/eMzaBZJgnv9Lse5lha2w8mTK/KKZchMXc+bweHuKBf70z7H8rxZhYn9BToHvbRkfftI/u/HndgQ8BKhe8Llpi5MKgZtiNo9+9K2BMD/56OaMkdsGGKP9MOaSD0J0Ol22j8zBz+I89zmMeJqZHp99YCjJ4MJCptrKdP3Okn4NdrRuENfn+q2BLIAhiR9pvSajxmzUMa8jfOkJ/DP8zmeablJ9GqwqhZRN/uJZLnmqI7tUKLxDtTP/J7v6YC+Wb6cu+dNpM9SYmbvd7hN+zVKl/1uRl2sI+IXwUAUmxzVb1yjsz8jilNgVVVzB50ze7c5L9znwOjXjGSH8Ckbir4vAc+AF17rKPtoOLpkZuecGNyP1H00inOKSbA+K1Xa9w3gzyfYr9Ina3mz9km+Xyh5xm8VxtRbfKVMIIIcalCHuBw+T6NskijjX0USaUi2aa2AoaTxzTwA2C4BA/zuXLl6xzAqp5bcQQ/J0ZVnvrNpunNyXD2JIPZx4golhwyDvbhkFtWoN0pfDyZWFDZ+eDLN8BhSDBBMBetD9/hCDz3SVb93YwMaAgN5Lx9xeXjqdgtxo5O4ZZQhifw74kZT2zq52W0RSwmm4p9uaAtLXPPABzs12H4yGOU8ud2k2ruAot/QPy4NAw9Gu0TteKqgu9faeBv13/NUTXns/r3vMm5wTv+Mjm56wn49CS8K8TXb2z7lnKb6//6/jnwO/s6n9/kx3w+RtPV5FeLSF8Pq+/zPvROXQg2mxQNKH3ZNR74l5c2X2m0vNU9uR2FyeHn5q60UuH0c4r50EQEXtA05L23sLXFokMXiGVmztOAA5JQ7sem3zKOFm1mv/OVl6AJnyyWoAfbK+3hHVgoefmNtL88JJh1Tvknj273g5kgHV9M78uVW4tFI1OXvX3DJi7TnVsz78ptZeb2pvm6c49B8kP7pUpH5ZyGbc6cJC5HknHQCCW8CzmSF8/3FCIJFdxi+sv0QGBHNHESKQ/YOZPA9Kl7sTDSfc7msh6AAYfMOkbbGwm4mT92p6aXCP9yueAF722aWhdPhaDxhh0wp2/vn7e//YXBtzH0DvrUfzsF7E5Gjnm/3AX/svNh61UDzw7WbQNMGVU82eQIH0WHz7WLMiF0AFqXUSvBjSYflFmGa0zu0R33W7sagb2EfPWCAx3NzzVCB44SCXthXwrg6oLooyAs1zI7dTqoUQm62ltLavq2zLDGqXPqTd+pBac2L0hHjtmwxKwwfaGSY019c9ftsNHkqZP/xa/5TC3ScVMHB3Hu4BLNgYHYON2lwCLVSJc2yrP+924tqzp5hzX8SMXNgdjTEusBn9tu5IrdvXvZmJ6sWGxWWSQfMvD3rJB3NfqvXMd9STknzs4+RsukUPtsQpJiDrbeydacUzIm7dOQ2Gk4sQP4YCzkIp0Zl4PM8JpYv/cW/fRWre1nHkKshD1MTF4XsKIKmZ1/zK/c7/NpQNeyT3xszUll+olwNIGvXXKx3TUIfMPo9zV9f8A6XU5cz9ySsyh8T4yI1oNl7x1e1R0DHwfcYu1+Z7w20WU9rG2WFc1VxFq/tF5DiZkYv2CjEYaEwj6vZKSrU8czMxtAiduThsAtYqGgdUzPtJsU7dSw6SMNl4no6a5Q+uQcH/fOZO7s3TzUPwriplw1+CH+Oj8EPtNmtuJMRjLD+zWzXm0xpNe9pa+NtaxGj/PY3Mf/8xSzj//VJ885rMkbpb7JfzA9kTss2F0U+EdAXJFhW6XD3GGIOcT598qp0FVvR6Wz5ZnV6rQgLQs5rjviwrNchCBRHitaRZqWPT+oEbug1zeUSj/nPOQodLHrG11impl8MDZpYoVuQ9WgINSS6J9LwX++zgH+P6bOdblVXWnXt8TBpOKfA4PA2MhB6AD6B8gVAgITm9iYq9+tzOV8u1bNWnPMZNigQ/fzSn3Ie/sOvvEqV5+DHr4QsSVs6MF3a0mcfjV9IRqED8ryEuBU0FxzebDUV9VpyjoyVI6ipi9KU/hBavRkh4lh3rxXIQ4n8LfeiwGqM2o36UAepdAD+Pixtvag9dTKe3Q8C/KshbzkAdgPttXnOHmcmTzAerPTvk3Aujplx+0mkt8kXJ5Kf3qkUwKUpF13pVf3tzX9ml8MAHqqXU80eSj302t2N5eb/ngWMj19gB3UVXYcbLL8Ibu5bKzJzzpyBU7/PhXJqRTgi7SJk0LHTIB27tRP6soA5hxIRU1c6yAXm9ddgCZxf63EFjhxMj1lbGAot+rnto7kojiqSurfc51Q4Ms96PEjDpu7iJZN1pVP4Ni8tFuP9/OSwgxVLrplK96VzmNhvE0yF5kerq/zKFIJfWeOHeThAt+he4wS1LBtSDQqaxtvGG1XOXibjIJeXMk3tTIv6+C7u/RaFeorGwjoD3hTm0tm/3tW7PLkjnVv7ITm0RZ8M37dL0uY46AKmw3hpiaE8lLQ3jkl6cHZPoE3elrgPBMtY53cKc4TMpA91yjP3eZBWBvkY+OB/to3Jr9RtPFxRUmK/m1yR4as3z8y5r0Ye49DlTWDyg2b0zjdpOvvmbVHR7xTro+ZRvsUVkpOJQMt93W0iQXe42jiqGSsgG0lKjU4Ihsdc6bBh80fGHFL2X5CCplL/e/lUy6cLVkT8x0PTZ+v/SNlMsn63s4c9UVthKSj78AsO9aHGwL8i0PtEC1zohNzp4RgTkzM7ZFzFJuYLNM33uSSMo41Dy8W+Ys9mAMCdkEU4TW3Yb0XYN1By6W6DUSIndKVBObMyYDzcmDUxirdlGZrOmRrObYL6Ympj6DrkX+ZvAywK9+E4lyNiIsYdEgP9nvQr9jvlRX4WDlbYDV+O7ifsM61k3e+ZmFrc2f6Brs44VHKtJBPESifhkrTEbW5Oz1kkORpL++UlfcUmDg3/YS/bve6a39yQ0wAZCAAX+cbPySactUp2E9tdnRDhzoXqw7Ce1pgeQR+yv6L2cyB93vTkxQD3x/ccFOzaRJUPkFjwj7BVPTWU5o8ccFNffLrWRi7mERNoV66kqcxnutxb2pyoKpXgiJgHQt4d8BaIBjz3552qKOmVmQvTfzpd1qgUyP4T2lNOxhjH/YQxiZ/aPy8K8YHOeJnGmhYh7+a+FVT9+NEe9v0RwUNL0zMAzDLvuSqBG50jrCaaD47ItpcWWAaRqn9SWQLtdufM5tAP5MB/E7e0OwO+vJ+cNmDaHyRY3tiBbo2tjqqnrwY+wrrpTV1MxrTq4+SE4N91YDfoYh7po5Aw03d5KRq1oQ3wpY4TJ5Voa+Kl6AlfWpiEUp32imE+XkANh0kTc2dlYNBa2mLj/IV37vhwb/rudAr6P4UNr6oaPJdh6o/Rw+nFNs5s6c5d3Fp9J0a/znAMKPqp00Vg+V1/Wcl2jv/rXWHu3KcBmLNJq9ybXbbiZoaQe40vs4Pmx5fODxTHZieyxurgl3DHF2Yngh1jx8V/ecewPbgSE3HVQsxWJtqVEeTb1bZvQd6rzw4aAXue7LfOnQTrCHcnnc3U1f9WDvLq3+lVcHKhmcJcTSZmGxPML6rwK6fY2B6ygd4j4gL+S1p72LWbrCDrLRvXF5kD96REJ59JCzZSNNzXWw/Kid8VkMKY7g4Z9NHxL288hD3LAy9o9UuFHz7bwymI02+8lJy/dMEcm4G09sokSIs7VqguQFOk3pK837K6qD9UYPJ/fQeeOB2bWI6uP8F++Wj5snB1CVnYL9fPgXeM6rG6QQ896yAz3mv3kToPXmsp6YHXcj0KDgCEie6dKYjD9BKRr2hMbYZWy4Nh8+19mseTy3tUpdb5IsM26Lu+aZkM1De9Bdzm3HMqpUDo2SPEzAMMHh4LjDYJOwC25Q0/vfIHIyV+1sDozc1cNLQg9dOTA7mzylQNoumqok4Kzt0SKN5xrEmsAYE7APQyN6rrsi+0m3axP2S8r3zGzPWq6i2wKaO/r3k/1zpZPaJKpcUn8+68Nu6wPjMWsvkuIAFxGRNFsHInDlLVTvqYTiVomQCrfkNz7TBsXztZV0PfJGgHRRwJDZ9fNgcEYZH4uhIOuqgQsRNPCNz9rDOcHBmeM6+Zn3u+SGjvq/ibMMRv6SI6Nzk/caJC/4EvLS/k2G2Ae3/OoPdHZyH2zDwt6O2mw7tMk6eXCtPDckgI2Rhrldgcg266MPkyjXgH6VYyqZAb1gnu3MIOpFy62hJ3AADq8D/pjbbmD6ALFZJ7vDXHQc7h/btFOIgNdH2MTGa3pbj5ZG58od/zc9ylCgd2oqvSSoj65k/tyeFpE6ZimCsrpnTWKBhgeRxf+7DhwrYM+8X2Qy4PBeNC/vwlRtoN8O0OzpJWGujcxrvxD/NXeiQFcTNHQ3PXW5UQLJSM6seUJIPzQP8xQ5zGXKhfirwkJKla9npLyIwJl1ywEF7x84McszzFPDqnzYfJ7cWt0clpmcmZFuNrTRcD1o7o0Xye98v4s9HY5dPGiGeR/gKvGFRU5+RmVpUJAZWhfH3we4mFDRqoJi3g/k75DCfDVu613nvOSYfgLtODpoSnr+E7wxOse8QwWzqzLeD1SygoCMVzZbo95u00M4Jga4C9pcmPtX6XIBRehkoXFI9nkRpiUAfYE5Ae7fwOX+xPQVo2N8YV9XrMo3kKCNp2AoYJoGfzJTbSZhxYxu3l1OoEfgFL+cTyVe1nDhwNG+HXJTXCiUtR+23qZGSmrqaTkJgDIHbl9d9Svnrj3opSIdKxkFhC2l6i+amD5gIfJkPtl27Uwn6X6TW5wPWOYcx5CriSWohsEymJ5ftsT75llxJFWvQwnqsAIZL4UllTeFLm6du4mUWzD/n36TfP1Uf2vRrbs+manaYWODj7+f496zSrYN/Duvnr2yUVsYzl4XJEfdsY07GeaDf0iCZQZesZa++gQELU0kYtNNf72AcTx2xVAr6b18Hsj93eF8NYDNpea9ifSX5NkhXdjV1/FNgE+x82qaGyPEJWsCVv2cpzGk2oLu/8XMbsa8tPHu/Eb0eSY8uRLd/uWawX0ZVMNBbfAM28c4Q/mGgE0Bf8sbBmYgR+LbQPVjttQHtmwr8U/ZbNxV2x4q25NbnvYFnKPkErtZ/O7pqxyMCHJg9T7stA3Z81T2Yz71HmlHajbXZ4FFZ8HuHNP53r4bMBd8YSiGzuksGUI7PdP200uf7pt7Nb2LwJmDREv7G7cTJj+R4B3qjhbn9UBbzjs/tpcnfryD9X/cOv3EjSvswvfjtbHqEFbJrBk+eNbNBC8UsXIaTQDshbhs26I86Lh34nU0+EldRdGQr7w7AU+WYPbFoC6anLxXsbRMvgwWp6PiyG3OcjwlTTH6J0I5BUwWEt7sTb13OMyd3fWAY/K2QP4kYKMAipv3AAxyKA/Ma4ZBsxOh/w/PCHmCbgwPMal+AGZM27b2nGNlaun/9EO+wpw6YeXeh217wqQTd+RSg/SqNELPwEfi+Twf4Pqd/YmD9FO2t1FI+HtT9HCEpov2jNPVzn+/33/jVeCqo46FTgGxmTRkbtn/158HDrWdhV1XQTiXFX6aHcUqxAI14khb4oU7NDWi0Jm7uKoI5+7rB++7XM4Lnes6wbvUN1rhHhYQ5TTpZ7F1gjwctfJwHuszW9uVTfmtfZgXwAyXXUgOvIKAA0DnncN7nNs7JiEuBiJOa+qZui8BHncRITA2kLi0uV9CrVmliZmOtq2F7zHqbEcrdoyM32CYn0r/yRueLQKHDUeOpftk0K/6qwX+lRbjAvz9z0+/cWM6BZHI0vaW0C/b9UJnYdXFzGxOzR8m+jrY57lOXiHZnWEJaC/hxFMnn/FPl86tHRgt+Q0tnOTGtjtJJUjLIqQ63dxnpTD3nk3TVUcTMyUOwrqB5MNiHw3NbqSixDs/5TQ4XC3yUuWcKSJEcDatUYk7gnzZbtSO61z0R7K8BbWTEwQYQ+HeSVzDH+fBwQURw1cu31PKeqWMX54DHwPxhbeoEcFiRFLHaTrKq36IaVkRZMO/EpgPYhA54tiDicgWm+CIFfp0RxTWSLo1SD/SZztmywa4fSXcyNZ+RtOyjCrSvwP/ntj8Bh3BT4xn8qBbh7DdaW1X4aeJlNiLa3puwscWwHUi4/MY0kpjcRL+8GNvDMfbBzyHG5iAXKget69c2tysrWRqNFyq2RSbmMjfx/gzsSNyAX8AUPJZ95u1D2tlKxHwAv+MfHEzheRfFtj7t1a5hm3tl/d3RT5XwdnjUI2OWlfNkgPVu8t7u6uv9au73cmsbZmNzBxbUGQM96KgMbNk1By40mQAwJxvlkGdD26eIJ5fGicCWiisbPWFtfBDnr0brs3Eud9rrI6EaxvDTbeL2C8coBoKtjqtyS8u2SecnaaTlGSnv6LbFKUZ5KqRufuvEtsAx9sRWBb4vKeFzqAzaIA2nFkcSxl2+8rJPoJkE7nhF2AxaeLlyoYPMud3zcL+Ulvbqjsi60zsc75cc/Ftu7R3Q/seaJQfu4qm25iV3tgh010It2bFOX0CTbQRTfQN6S/TkFSuiQZec1JhdG5eAFlUn3oUPof3vEyPH3Lm49dhe4fm6xk3SnHlB3jVLM3wu53AB4tjbrLcvypk6E8d7ihRmIejACPSo1dzZKJ9V8Hcu2nMG39R7PQ0TxsBe/PYft0vTO1uYPOIKMUeAjco18sjIA/gsU8/EBXuLQeP2Z5og8WViTiU7960LehqrPilotJ3poE+4n/9qSCoNXjWyb5WwbdNjw9xZgw5uhdh+AdeQo8NTYP5ZsGRR//WxcUjE96eYzzwwtdRMvgDXgn46JCCzivamglgKrLhr8psNfu8v/+vEpw+upVBxu8LaRtKx6Zmbut6wupFswUasYuAf6SCrc/B5lxa6AQPrmsooL9qMu36hXFXSYemZwKDd8Qk4x6PgTYBW98omr9i5iEaKibEN8mIiMI5zSckBtCJQHSbcxFzFoUcdvG9CXtFhStMO/Zh62TKWmRpNtdfGk5Qb/wjjOu0wUDBdkZV1bX50sV+Ff7XuvzINdr8nVuokMfCu9dtLuG8nNpi6uO2YddoGH3FMTc60CFfZmZ7EflEytHIXjSfWXCvqf+QhcYA6y6M5j12TgQW+hR12r2GF/m++QF/pjNg4yTRKYG3E2Yi/wFeaGvDP4/PmABvNvzHSPfBorC9k9+6eguZOCh0fndmr3XZ/1vJNBknbsFmSgpdVtNxlwIey95Z00K/zDU8FJYwBis/M3K8lI7cWARyBReff884nCmxPNv57nGGtHx3LkxExcXE3KrDDoy0XHbuCj75gSrwm2sbwe26db8PcVgl2bk7l6JevhHdunHLIbLyaCij9lcfgt2O5Nvb+cVhbN1+RyV/NwH6bsxsYl71XB34AvvRJwCdLuvdK++KWmhegmZxqSN5U0ILN4M/G2pLMml+1dMD3kJ1cZc6smdQOMeeP8P44NX0fc9EeeJjwU9i6UreltPU3thKPD+rA+/R5Rr4sGelxuL2q0HNoMd3PxYR55J3qKNnVIQnTjr/qA/hp2BrP9CxpYpt+McBUheKXR2oto4g5/Fwj2nHdULKcxOSz4Tc+lOUhbnH4+Ty6cmpCewPf6zQdOeVUfTdWm9WafJs6hs1KXmfmJxy+b4CVvpvVHzD333BkOijpHXdNThSsq+d8xGBV62i6pIHaNAMZjlZqS/C/WYE1DtvTKbJ7QnElRPoEn+FS1hYkzrwTlRPu5OuOI22AGU/R/JPGk4mcBfZNvdRpUSVknNrJE+xqnln4REFrC+ElnMHYwH7OTYFYG9aHm64mDpsM+hvGMIV/PhprCUy9tXPXDrT/i+91UoGelBNi7mhIrLo8TJwUxF/maptRo1d9q+xBU9F/Xj3IvOxKL1uRk/f2rbHVW264m70Dz/z2lBRmLGHOJYuAxczO4v8XV3lC5DuzzVmxPlbW/IV3c9DEHPyznjMLNMOaecr2D8yCWQVFqHZzUQdg/wYTpzTLGvz5ifbe0dm4JmdfuiiiIzliRi4UTb10/b9a3ALtHzL297lD3nKdsKr3vqo4uYAvAv4KLaCUHcwgk/m7KzlxzD06cE/U6KQ/BzKuBgbMldjcAZizFMqE3oFGS8B+XqSJr+s9+eINwTmvQkSITXLgYysb2JUWnxvmbO+pWGjTEw3a3k8dHeXc9wX1Td2iOFtLD1Pe4w4or9/2MEebjG0v+eDdmkGTOrrcU/vf/WDZL61XwnyXNObfdJQgXps754hQ0MrU3DfGSJKveW2oj+rY5JOQZ+VsMUdqVzvqKa0ZsxUn5uxEFKoURQvKFSOykr0A5wzv/904f32XNoQtTxzg3WFFVI6Tb85ZDm6/gP21Txy0sd3cZZzYKQU73qsY/J+G+ePAR0key+Dgog9YD2Um8JoHiZujJDqFHtjs8HlCqOAdfzGAfXAnScTtSpwF9Lwy3ZKvp9COKDAUti4PHmvYUcm+AQtUchSYvAYctUU+gB4N2pRHpt6YnZk6ZliTsLRuHvixA4luKzDAXuV/+SkM9hIlYjvmhUSCSeewhk4GPJ5SdmUO6Y52cgEbFcpRE1PDtR41A561TWVfXIBOcxYJtlcTsX9mdvvEwFSlvTcxvntQ5jkp1OucDXS1iYvThaB8YVGb1CZvOko0G7x76nhFNfTPCsFcaOWnY78y01swel/KAQ/ZgGfg5CenGMnI8Ad8aqxzEoGtATaBvZVh+6+Wzgm0YHmOS5gz9UjHvYkdfp7Dx0p4b3wfrUbUi0iXGGZJ9fNaD0klxYJqNyFA8VY5bPfsty/l1ANreEdL6hPiu2bEsEaRJgF+6UpgMn9SlgwZRV5tbQvqZpaCUaeceVWEdoxjG4/TV9X9W87AfWWvV9qzZzWye7PqnXTStXZa0BtJcLB0qCwU1Q4aaxfdG1O3yJpfcXpTU/gPUyca3uGioq0NOoGQURHWeyH49STrZCZ4Mp6jNm5E40h7CqoBxfBcEw5M3RZ9UVybXP3hHHGwOeoqe7zJA/JTGXZ9bl9sw4FtHjAHh9qZwxzeJRd6Iwvkga3pM4ffyKhlZbUsHRJdjo1VWlvTp0dTJ/RkwTaSYwZ66SIM1/VkYLyFPZ10WQEsGur0TP96tnpgy72j7V/OwGyyb2PQ0sCGlpvCWkt7OYIt+SiFZJUrH8AIhzOwK2iYY2m1Fw4+pOlVmHegvSKYy36iJTDSOU4kH/qNCDBvhPfSsDloA9C27540Z432v42pX5myy0IcFOem56I7OWlMUqPzm65ZwZ9pFfQ2HgBwHV7WAbNOCHPQ8iXYYS9l2wD8nYkzyJsQtB3Xf/mwJWVWxSeTq2zin24y6p+lTpwzjHvJGjvlvDjTf1bVl9c6NrVmJBWD/XUK1c9xzaw8QDbw3hNIwDN8QnovMylX6dp+N6aODP3jXoypbEXs384UFTB+jIWkLbverYAW4X+5OfPjse/iWOUsbMuDlcwKTR+il9XB7j0gI9C7+ueM9L7RUwVMHlML67TfPsAkRvBur/f6lv2EYb+fmhB9Uep/4367/MYpjPiHRV7aoARlXTKANgctaT3ZoGMmpi8ltp4K97YoSrAzrQ08MNVxOwjefqcdJrmdPPiowRj/5Zs/QY98NaA1eF+uWZHkvJhYEz6eJ+FJYiW+hL0KPiAjzowbirT42gIfzKFA/iGzEuDaRHBLCmAWD8bxAtxYNjCXOZsZ16qqHPayG51kdiz153JibWjq5cLzvZlzMBFe7jjg15otdoXavLQ1JTH4mjUJM6BrExctep40ltox+u8qHaKxs7mTNXHARv8cbNUSZ/vRsL+8Ua/hPK3Bl5gaGNT1OTbxTzGa6wHvlI1K0MZvZUdIDjparf6xYrAHe9CW1D9lHBcmfxn45YfaLTAbcJ/F4fPlXGs/lPrfAnrjdUe/NI72f5ks9hcpvJjBOmdU97D+lspmv/EyZ5PL7PIfFZgaW/u1WtuVU4mxsM39Is17eWrQtDRum1YrT8ToD8AVwKfoty7CS+tlvSbYNbUhTR04RDPHspRAO+Vw2rCLzQoFjKWGJkiOVaw0DdrrWScpPFtbD7bTrBif+yXAMcfV2G+qXr8Bt+Gs8E909FcVLeuLsbN+BmYB+7rq79RKnsqcr4Em4SaufXh/YNA8OPBdELhdLmQCXAVMQjZqDDfAmt+Nm7k0UDZHGrhm26m1v58ieQdN8uThYjWUv77LzcU8NL0kGW9bEpcuH7jOnKQCD+LAPLG645uGaXPvk5FAj3nUPGHvhmf2bp/7uap0aeGv7VFayXCE/cbGpGsc9U1ML5FYIlIk6evegTteZeqIKS4FAYNeaVMHM1zPMf7ANLNkL3PQYEPJ9E/W9xvQZ6KJ/We2StMbusuH0oN33oD/QSSfLdMTgNl8LIvLE7SAy2L96iflqCF1OUUV6BwEmvQJ2lVX41See8Lo4FXU8t5OYWJjS12xSCY5WEvJLk6leQV2Fph7Rgx8UD7Yh1LMUjqyODi24L85aDdLun+xxBp8wQ7WDKd9wuG5Eh5yTrq2TwUWyv63pGL+kiPofUocYF5TezmtxdbED5YZ1dEpZqYWKsxZ8pbDOsy0/9UI+1SCHkx1CTz8Zw9nCqsTW7BP861Vu+G11KbmjEKlo2GMEONsGSiMEbaTpWL8i6+4Y0A04AedtJAH0NI34oD9jGBPcW3q4x6yFRiuM9xjrcxp/+oD4GizOYX81MSmF3R5xWGziDBxS2vjVOA7z+b++2sLe570JevdvJ/iUwh87JJF2W1Shdk9t/ERmBj2dxulqLRyqx1zsOk01B+ncH7Vkb4ylDgSsUWAl8s5+qgo4rnTAvMtDxi3HvROx03/VNiihP/XP/TMtuJctB8sbgWnJCmp6VeKKbZSJx+JZGFvV3F7UL/5isnr7maCtf5WC8thnP/wQi/AJUsp0NiE8MkjCUjUP3L2sDOK3rhl52D3d6D7C5jnC7HsN9ASGHQnvK8XcVPvUNgerMMICMsjw+OajfwVm+o1msAn+qd6twUea8E+MFM37Wp6L1a9qW0Jen43n0Bznxpbb2AvLLV7eRKWPgjCuHbsErTWl+r2G4amNS1KG4cas3CbHa2pZVS+7vWc3G7WUiNb8R5+z0+BZpdMTKD7vZF2anceHgse2vy4tm9yt3UPznQHZjpU9vTB7CnlI3vK3ity5ON8mMbKUT5hCGUM1nj4fpXD5qVhf1J38s5g3UvtO9WgfNDxqek7mQ83sHummBZ+lK6/qQoCPNp+m1yVBj6TRDaB/3fBbstaX5YqyDYl8ywWEQvTtgKePtTR8pH+X32Ap2Dbk0AtSjseiN37b+3Ycu1NrOwzBZLgKDQaCrGIZ/mg9r/52JzfTrHpD9OKsk/6utPrecAlXvebNN966ciBkZl1tD6vorf+8r9Yv/2oB2/Ke+WpmLxlbu+CxiFHmzjAka2pqc7Z9gd+/nbOt2kaJVQEyaGmKqwd0/1EF0okV8zwnTOsj06yYjQJeH47j3WZs1fezSzPAQGtp6+c+hcaq/HgqjtxOMHapw2CsRTeLbeBgy1TWw5vZDRRXPBUAH9W+TzUzvI0ewJ+/hCw1oE1V7DNtohmTyLwKeLzdR7VEbulOOjBd8D7ah5mHeI84rvcVZmK9ATfnxCO01PQdjQAnTnyrBps0Hw4y0P88V/efbo5PGcP9lJfBWo6cYVMDhTtYY1Zf/U3ZtMzKB0wV9bFrYK9qa96g7Uwy/B9lYM+ZLy3aKGfjMmuHjZX0xccnoGBf7fL4XLnXe8p14d1dNmYWknnuAH29g2TgwpVWZr/9bwjYCuSytz/O6Zesbyzkdxhj+7NWew5lAXoK19GnukXvqZhK+SI7iqaRY10ZWI5eC9NNaq3fEyEojjOOr/HgnhYbA9HtzW1Q14clRHK9+ATNIkai5o+GP0c/fYOW31zMjXzoVzLzuR5KA7sdxBgq3ME9NRvI2bislwVqMLUf2wL0GTZGSWw4KVNnctVMrJUxf71XbwO8WrqezbgeXk//zRIAsvfVjG2JgYE7KPRAFLIFYHWIqFkOmDDbOqJ7ir7Ysm4t0vY53ScmIkdoQz8s8ULamyA9b7JYf287IaJh88F/lHj3mMryeDP1HT3TUER57C3pNOarN8T+LZDM3xaQkyajTrPHYQra+NVASfpQAhn0x5s65Ba4LFH9S128xs8/SOP/3rQJCWbgFZwfNrdXLyac1QV4a6/Hx19EjG5VNR/q8fercF+wZ4l5679wYPGlU5MPcRNaYGWZuSWjT6qBnID224xNoGHIIczzC/R/C+n+IwQVUIHpZYBsLNgcfIFvneubPyNY58CM4fZ2H7D95bEJR/1ysUZ9EUzJjvmJjNoEtOHZgGeXlKmrHL8B1yxmJ9Xte0/sJ5euUtWNUwfUqcr6AnO+/2S2u1k+l+f+ynP2YRgr6LSvVjc0W9gCy4ySrySql583VywA1luDung+8CfLJXLjxLxG9cwm87eqdGEGrf86/MogKHSAYUKePlsqjiDY1B26DWijTKBH8zZWFy0DrUWSTiCFYbyfCV7bpEoDZdEum0Ha+fYMHRLC7LJnS2h1lbmlDDG5m/QWS+OujNOstTMr5hujdCSG/5nXOSaO7kObdPj+Qz7ounkJefmXBhFad92adTuq93NwuAXGfjFir07ZEXfeZH85CueDhb/qrRKslG+2MbmsSxTy96dQ7xjvTT1j334vC81fi6wtwchklHx0AE7/9Hs3m3upPeDTexfRuA6zgaVnGPJym5/J502FohJy9Qq3iaYgWXt/uIBAuksbaZRYWzKKcCHSnw+ytUH/Q1zgDKHa26BVpgbx16PztLVHHnclkfRLz4Lp5SM7HcewPYKHnrm7OsC81HBzzPV2zfjB146BWxlSk2fpaD9ydZPi8SqYIwfczQBV+CrKKQPe2ThLCG1NXllMYlznDkE7a/1CNzWe8An2ztD4GsZ+gFfOhmNxUe8qcQ2Ogd/NipKQW/RGNSbTipYX50qTJxCBpo/dE7F5Q5jaZ/Ep3cyNcGHBGzT8kE1cOaqTZfcKOUINWG45l3zxNGs5ZBUogPbEJNeUjJIsHuveDZgADcTYNtXtTTPm/3bL5H6uUSasN56nIq2BftYHS2PYVPre/AsFfReLZL4zOwfc0J6innO42lDwod37jfOmaq3ZmjnUig37ZNX7NxbzX/7/nznoyYV2DjpJFKhf4+M9Q9Y11Npl271fL8CNTwz57FKBvY//vTOnbaVPfFGzJwGjYtNjkOAv4Adf0y/TrW7PWWgUErJ/+Kxb09sNTYDNlWrfjuuOpL5bXOKGwfzNgG/UsLc5sCz+uACv5v6QmK+gbW+0uf2eOL6Cr67xf30BMu0gF8DHsZv55496dpmoIm+cK9fjH2lYrmm/XKq+2wj2XZfsq3V6P5Bxn+bDDiH9wmoCcSAGZMc+F10ZEh7PJ4KBHMqbWl5N1K0OdG9d2KwvyiuqJjXc+9tpMnwCr1XXOWKw+mC+y07D1z+1vAX4aY2vdz7rVMhf38uJK7jy4oHPDYCHZtoKyjNNmchp6zHF9P3kYZ8qqI5qUEJZ5T34OcuOLI/sKlPOiTOKx67Wfd2zZPfmFwWyJ9cf1p41HHZoVPF8fNobfcpBR0S/NZCPzSxPIH6fILuYg3duwfr89Eg38awhnONMdPNSns75ho4CE0FH7zXGeyND0QLgQfqeGXFbnfQ7uGJ/eYP7eVKPMKna8bU08QRgN4da4vfwSYPSk8fR0u9yQKeLdKmrr+p90rTGHPwQw4tLhtTI4sH+JV76zEUPipKbNPTNP2tVaMNq1hqlFfDhtjUCLS80NTv5J2qzvk77LeHk4KPK3UKe4Lvwb5fKkdGddS2oP0nOWJuMuup8B5p/6ohebub2miUcr9ewacOilTAGrmVXEAfR0LrlfHsjnni1jZ+1I63k8+te7QQaNptCSw9l0yBTf50TwExdervcvy3lL0H/n6Cdc0Dbv3FpsqDO7UKaVvm2zuwG1go9a3E3uQzMbB3HoxX1jg8ly738BBuiJhb2asr78mFCP1bXwB2yL2Gv390tn3aJei3PmK+Dc05XwMj/PLLqY2uEpG1cpFPXQSmm3MJfpOxzcI4vlRW79T2dGAxspnGRyXgsfq5xQM65T3WOeKwvrSUpg+S/q3vgJuVVGIMn5SXzrnQf/l63EEtH+Q1LZJ9bW0epopZBZSgHP1UpmZaZ/r4lh4waJ5a283B8jZpzH/SGPTgCLqXfbq5QPERNG3+NX9xG36XJjassWe56m/TMfM1huUwz7klZwbMrgpkck9vtbhdVci7VOiFMIWrAS2ZBetRkx1hU9KE6FgCaNS0Bz++UBlunmwgoLEXj8c8Ojjheh5VV6/Kbfq/+5QYuLFLaXLP+hCYmgALcRv27EoE+cp1ErEQRRX3T2VPSoWUg53FB1+o08D0uExtJhQhoLvgnTPwkzf47oVaM+O9zYH3kAj0z2svcxsdqqjtOIU9snKkdHvMnMv9+Jy7E59Mjv1Yc6XBP/ASbHAVqgPr1QHWP846mQqEg5IlPB/AhlmhxeLmCevko4rwETR23LDpVX8+bfr3hwoXltua5lb/VI43ZQNOuNNveKHCzLIs0D+4Cci9stkGeKkF+78hvf2ohc5Ez6c6wjb77ds6VSavS9pTBGzj1a5/bPRffYBVFkbft5Uo0LPSnJEn+HKL7+DvAX8TUxv4gPtlYCtyYbxv1IKVPLZf2C291Ho3dwN7IHDH6MQ66K+Vxg7YgXuTz10aXmyq5auewyZj3tSIhVS2MgyYNSaOrN/6mU5AfzZXuiJTx9vhY29qEgGnmzlAwNHkN66U96XTCBMD+u+prG2IbfwGe7VX3HdgfZATffXzvd3TFYGGnTaYJnsCjIS/Zht/vV/LcX835/lHp53zok0yngAz2VVj63sdtKC9yjt2p5/U9m9n0YJF5T9NkHlylEMTlEtqpYscvENOy5fWAxvvW2cYtWYt70xPP4adMbOJEF4FmuALbNizpvJWCtsBgvg4RdMKtgXsg8kR3abgo94qGt5PkZfVHdcMSJ66mJi+nsCBw8HWr3O2pBmQkEDCediOwHkXXvg3WEN2ClyL4XPKMducmBfl8e+Z6k/dpU9u4uzZ+0aEXmfq456LXz2/oXG/pra+Na4WtWty2NI1d+yXdtjkBdjkr7k/R8tUu7hgul3LwheEk0By4vHfGiCgn4MUbOqWKdGDPs9MnJGrYuwy2IO1czE5hJuqXy4COE3q5kFMb8aQmN5d80ubi5Dnipo9Jhf4+w4fkghWI4yLpJn2+xPbzjxCrGSeQ+IpwOxmc7cBGzSb/rlUjb5XW7NzcP85zbAFX40uyuU4Hz9BZ5MfweZXvM0PcP4JeF3Xa3ht1s9NaSNG+tbUhY9TBD4UQFUKTPkaPvIAOWmgYxp5v/cG3FY3LGSlAtPP3Yy33FRutpr4soZ+rnXYPM8Ff/Xys00tETrygcUSs+iX///rQfhl8j6xlxXqA3jowcZ2AzbHhbk85UA05zHJYR/+VAwXVZecqnW/qWK2Ae4gBPznb91mW835+Ne34ouMCbDepwtr5wn+mebOwoWwbNMnr9bAC9a8yflvPkoMY/8l0H6Vgc5Yl/A0stZTAPYr7F0Yr28YnxLsFiMhP5179ZSD/ZW50+vu5sEDH5hDXWGPFFUI2kd4l6Mz/5RivpK+MTk833lk93noVdjJ1spiGxZtgY94yxFpTe9qKYBCIwnjK6+YbRnohpMYzX1b6dD1rw9CIiNZMFt2dXFxRY9/6ri5gvaOJWiiUuMhD0kIc3IEfukyxzvi3iZ01CbPCf31XDC9rZ4zyjm2iatbWJ/sHKKbCgj4Xpn8+ZQCPeB9wP9vK/BRAbamDbO2V5O5x3sZnYeENqvaNVbjqULPJ5SamIoVR9M95aQH2jzSYWtTd5Ln6GKdhJrraPnJQ/uaMntN178Ys5iNiDZsa7MxXGg4V4qXwPGwNygCwbw9ENF+8dX/NjXpcYdZpZkHtupe2mQD8xvnkZLK5CixVnIXHUoBGhzYXyHmUto+czdBr718CvdPqYmrtD6BHsgb1Cyw16ectfCZLTVnSPAObyRGPyY7ruFTksbAjrYKVK8F6zmsAWBkTbIqkN8n5J+ARXAVtiFwwYRH9Yo/vJ9A49WWggU/pWaflHbC8g72TadpQzFoMTSVXF2BZyi326npkk6ZXngxwnnkVdxRR1NjnBnuAzshQyRIkTwyy55YqDdEt6/YHiRdFOMB5plJN42SUkYqSdf2eI4TYeq15mFq+raNrDD5OKbmXfPgBbqmAVC1VrmENQEc66Xrv2u1+guw9dH0baegT+oeT5nzl5Ml614Ze71J+94qeTKlfQPPpKI07C0ilp4X4VPZ8sCHrag4iUDz2HzADlhmljKEVISBppIT2MUPkwNKQNTIgbk4xmsJ2uYU/d1XatnbMxnN+RXJaLR45/HinnuMaqrz2so8mJNQxHqoBZ9Bfx94sTd37aavRpL9r89t7SBUxWQGPekBF1lqkG9V7C8MmP5gv2rOzB+N2AYH069v1byxthcFrI0L/gW2y1WG48P2DRfpQvgF1sDGIgPoIYbxKUzu0uJ+Tj/tqsAlaA1L0f16dKcem7qD/+XtS3iuVz9f+2TiQGK+V+BzJOVZNszA7xJ4b2EM9fBs8gNsyreI90vKZEAZ2CSNuibWM2Zg74t/a8WRMPdRDbwzsTl8nwx/4+vdy1UVf7V0QKfAeDB7ZD0xegCdQ3uugEHqQbosNjU9J6saWpuH7XAeYeSe28tJgIfuTa/6y4aFS0p32wzYXp/AXzPHMyW8Uc2nUq0yPoV//dr8mktGiwSEZ9IzXlrY5EczNVGkQBtJVvefoBnsgjif1n/abbmkoI1gd51MzRDcqV3qwPNaU2biTmA92cSZkny4uIwlJrf6FR81152vlam9VSTAmfOhMnl/Tuo0OnkDrTA3jkdBA70RFHqlbXpHyJlb+I2tSV/Zkw28vDlxwkRYenTAYJtCW5p+d4EfKcsOZey/eN6v7E8bx+1O6r8a7ygzPVcEzhhQsOlLXZn9HuFvUy8170GuRjAGI/GY6+fnqP2B8TvUIQ7LwWbZynsW2gMtJv8cE2PfXv7rIw+Rz9fEgfcBG+x5avjcwFr6EJEuYM9/HW3w7V1qYpbFebAc2qtvbH2uFbNDTlFUo88768i3soBOhCak53nD7Ai0+Ux4CPbBfnHUvRyNleNx1eukDqcwBc1TCbkvh3frbPKsUfKd0fYrjz//l7t0e4Kv+SBie6TONB7X5ipf9aS4SvkojS2+gi0BUkqtBvz+KyZQFK2sxNbEqqT1sOBSg1Zw1SJ1G+cd+jmH+pgJj6QFDliARuAFZupGHp9bn/zmmMhrE0idm1rBblKk9v4hw//doxekwP9fnAO1TMyUuvNeEx63Oh8nGzuWZc65zmDTKkNB/QLzkVpUJCfQ/tZ5AJ8Tk0CxvcOdGZ81f8I7vtWhnYL9D8/D50NoVMgIaSleOuXmKlPbXsw0Zzww8Rf5amqLIK9Z+w3YeFqa/pi97UlLf8M6OALn08zNHlgsHWHbn9Jizxr1TmPpI/iKjH5t96cAe2CHfOq0S47Iy/aCneBvIkYn7iYiA/1S9SBBo+VDiSWoeEsblBxzjRc+mv4bKm0i/uAjsjibL+b/wdd+lGvSNS6sCjaXTOhdE9k/hGZ30KSFGObXGewPp5KdtQINOYXgQ2815x7sb85XSfMwiXk+zw1brmRtTQ7oQIX9w4FRxYiGmjPn3PHoTIEO85tdCXuTuxI0repgTi4Vz0w90b+6PQz8CUV6UqH9w+x2praOYK/7wBAtMHqSj77IbPxMzflOuDU1lKQ0/6XfP5tVpnJI3jBq15rp1NS/aGDvgNf5AV9yP4/8VlvklQOO4FeWzEn2sE6PAhglM3p7mDMTq1mBRTpHYJvAx5+EhDnDZdPboeDAqMOyy7VEUrStXEkuIvTb7yul8p4Z2xbKDpjLrR3rlSf1w8bmLkf/DexgWRcc5soLjE8Azeia/DtlvW+kZivYpJaAv1dM/uRu64CuLsB+7OsVmI6TJ2XehgnyrCKCwDJPqjAxBP4XETL6s/P9xaodE19M+oyjHPzu/RwuH5mdIDmqHxlrzbW6AWMNPJp32eD1ykUe/DfTV930A7hVSB6bAJn4s6///twecQFrMtbY9NH6i+/lyUI1cH+f3PNBf1c9KZQz+ea8sXLm39raIjR9M72H0cS/+l6jhfSek5tevsNjQ0xdZ8GrvNMxYNeJdQiBr8O8NyVbkpc9LIEvrlmBPmjYGv7eZ7YuBZJVw9pH7WiP2RqB3ybS1rKKtg6LcQ467qEi/kE1NmfksxLl0qx74AuE0wG0J/rnGp1IKfkgLHvFEY3g2NZ8t3VLNn9jdnmkCPaMTcC+JSsNtz88Lu2Dtf0Av1nS2PfVblsd7ISA1ShqYOYabHOuPxdg8Hum05XbfgkjM4hCZpWb2qdAvhjAOhXANW5Lcqdtjytpicgs2Fd+3qMdjPkAfvcAdhH2sfxovuY3vvZXRptFUnYFXiwPTgJaGUiN2fTE9ZHG/Fn2U3hms0yd7M5G/3VPNAj2WBm8F4n5Arr+LRc2o8h3FGoPaeBjSVO3ccFOxtmzpJk5i3YOlrXAOlxkxJ9H2zcs4whkqv5ugdf4Phd7F3N2xR1o3+f8V98mDdBGFPpJ9aep6ZSmzvRshmQwdoQGn5tcpHeh/aFCF7emyY04wPURt8DuOaDBV6qBbaLUAdVVkq+bl9vA34IjbpXeYVUetcmrzlJMY2SDDx1xrP3GlQ5he1cWkw322xaovaW9XNJ+Turxn5fZRJxjUB6uPDKtdoKV1zPbPijYFbmbWSVA24rLIx/mJxXT7eg0Hn7eXrZ3Y2rpMeSDH/USE5dXmtwk3cC+m3c81BUJJ1yjJAPbzSpT18HaHszY0D7JGhv2OE+iiiVhFacb0O6SF6AhwO8e3X5ztLY/zW9Fl//uiQTwPg55fAZNQ5n9xt29lUZzjot2B7yUnkIJXOaxMycDPKNrYjgrpDnR5IGD1iuFbWq2BgyULeiboTJ9Aa2pKCk/NWvjAMu8dIoNOu5m+j6aWm9ghw/pbtZNqA7mjvsAfpR07VcVbk9noe8U4S63Oc1Eu8mo4hj8TAk6/AxsyoLPa1qAHu8903d6AVsewty4R+di/bGNtf2uwadTTRj49NMpKhfT7y4bNOaDBr3hPQ6ufOJe7ZSDH7AXw4wlK7G8HzKmd9A2Hnb2z1OUPUDb6rKAd/zaPhVvv2AkiIjIqz6ATAX3gI828LMiH9tOgMfLu3+usg2PJ1U6TlXjmB5WZKpNj2swDcCNoG9gXQb9FTTuN97NGTW1Wove3DndWCzflB0uTMuDAIZ53dFXAsaif78rfXlmA/BPQE5y5W+19enw3fsjE0mbDr+1NXegf/Y0fLdhj0V1jDTww8Oc1QIn7qjpJR+3iFkTgrXiVwjdmSt3qate59g2sWXBQ/4DrDGZGl/MmQkr8J4xGcF73vhoOCB9Vr1lm77TVGiYi5nzfvvIYY7rcPvNTcwT1Tbn2OLWXFWORGfxcGpbLgp8wOtO6sSQY84DedE/QS/eWJGA5mjB9uFH0+3tfPVPJfOejfhcyk5O8HkB2H0nXeUPaNWZfc30lM83YM4fubbfNeMS98tycMGuBdz4mFcMjMf7STYCmM01PdZamJP98zzYugrIjVCUlSyJldMGlTMdMzZnWOuccH8pOZpw7Is68vZN5x9oNKFzb/oqh9eD6d+4hk/R4U0d/uV/PcDfXuDPcRXNOmVzmjnEFZHnnyLds4Ckph+1tOVYdfpY274H/uZUDiYOJ3TAF/mgkQWs0UXZ/oLDJSJckapHoqLI5F7eYfe+xvBSFX5yjtUHsf3qFM5HFSkG3xsCB26AoS6VSGAvh3fZfcJ84U1q+s84n46x8yzgWdOpn0wTE0N5PxU4Ebp1ykGDcm/fpINz4K/Xd2UVwjdiZ1cCerQaYe8yztmAgobN90ZoixTNwnsgpw4xZnFOQuZlmgs2gjYPJVOuv9TRpweanFUcg75Z8mbFb7lD5MHtHVAtfz5FFqiovuYSh1uTvd6a86WKhW7Opo654KB7cyKetLzwA3PfQJ0lO7r+G8xnkYMvNTVra7q/Hlz9JX97JCzXs8lpd7xvWrQW/cvXm510/LzW0XLMLNDgg51wKyngua+mPxxmrZV37NoMMiKjKomFbEX9NwrUfR5VBfaKCeE9GSeLLPxvyVsTsnghNF1ODN/BX4Adbl+60uSFd1wTBJxBmaVaMfq8oUjkri9yTaKsB5YZ0ZMP6Ekt71tQlDdatk0QXlVHnPo5T7nFljyaWAbPmg8yrZz0XmvwFywpCczpK4+jNnUwjLanKhUsffJR7QxfC7aMtbCnM1WMaT0IPUkZ92tpNw9W8C77rf7tX4mpVE/3T8LN+ZAcgR1+7xqkC8JgJGEGfPPSRGrcP0oOrMv9DjTy/hy386nwKzJmywkYmLocbJzuaMcv5+GxSmvZV+PnvTa1tqMkNHHZpd2yxkLPesRDxaflhFpxdD7XE9o/YD2/OIqdC9KBpgX7KwcVJHYzho5i7TdovNHclZBIXZpIegzsW7V7B1biw0mob2lq84JtJ9b2WLrJT+mgvOob0PXTveF+qr62Vvr1bh3c/6uJAXa8U2yKKk3eUlOjGk0Wgf1UjuGm+tpWpGgvfIU9YU9XsOPAFToy8cgYtEE5Ylei1CHW9AQWPsCaPJieHrAPv2rLxo05Rx7bl+09VAKbePQ3HNrY3NFzEztcqEfuJAG1NMPDnJ4E6C9eXsuOVCSa9rjbX09xsylNTGB4WWUMbIdMDfL2Q60S+K1dwD5EwMBJhcr/q6eH2rmO1Q8NUU91CTzFB/BHPnE2d9A3J9PDCfS+J8PZzpE+NaOptdSWsBYdGpjaj9tQuu032Isf4EnwGTcX+DDOXVWA/iGZM73OAa48Wq7U3lvNGpp5PDFYN7DX5H99/0DrWctNxj6q4s8NDXDGwptNw+ZJtP97hv6//ocx+IOVu/Jy5u1NiblLO9LmLrrWNvH+dIqWX6zXI3yHPIWtYAUwv7O9VbQl5e+5aDI1VNo0bqzS9ru05/N58FLaaxg/KVjQ/sC772vmrXWvDyeYCxI3Vx5frlKb3kN/vT+mckAnES5voEnuwOqOimQGejelPFuwY7tqWLLKksezKO/gp8IqyK6V9n1O+YcMGuAho+09Lxv5nubbNGOoJw7JMo13+Vg6Z45fsQdBPe6f8JmlGvUIupin3Mdn0/ED1ojsP1c6qu43XiA0+Zl4pSh9nEM7zSw0mpzNtOg3EtZxY3lXFba5Amtr4mLTyOTWtp0qXt91WxvwBbU5I8/nnxNNqgqBLwPmLa33e+O0XWp6bpg85EgX0nQz4b0Hytv0pbxWzs1NCx1Woben4PeOa7g5uOpNFRP4aZQQUC088v7ubg4O/0rBZpM+kU0vE9AjR9Che6Z5V/ZqUzuwxoOEgGZk9ao+0mF5loX+AE3uUd0e8zDcpKZ/Z4Q38AxDxkCPR/bphFRBh/dnzZqXXq6A8yrGp5wDK1Bb95ybHnE4ypzWN/l5JuazHtRb85xhdqwr6eex4Shuoo11BluW9/ZSRUlO7GapnTY6OiRpGKnOSGvQmwely9dZ5ZNb/FIO9sH0cstWlKWdpvWIprPWSdkvfj3KDXf6VTDQsKv8Bg4ojY4S0fysLXSpmSLg50qYF4tr/5CZexutb0RsvytrY5+Q/+oLs4DP2+dat2BL95k1JTB24Zlq3ZgctXE6gW44clgzoA8fJQPfb3rrDsCT/d5irkZZP/Wlza91qI+4n/PKLq/APpkYPAJ2LVTj314uUtBqjKoHHyQiurk2lPwAyoN9k9L4+6Pb+qLHfs6SkTCPcSYZsLwDPjxh3Kcssq8512Cf1QK+Bpca+2fWPxvkL82oMOj41/5iIvqE59yCvsB34Cngl38Ld+wE/KYF6x3G630D2mpVQt6p23jnUWdNwTap9Xk3+Q/UWoaSt500WnhYuBoT0BledFxRSdH0k69/NcbZKVz2zYCtcnhYXMzDeejvoC0PBPglE8ivLekSR90zUyu5R3Fu9Q/w1YfUBk1dIJMTcWkYBr2CLNBErUDJQgzviPcNZ8QXwn7t5fjg6LgaFp8O6JuGmSvC+QOL5C5dfwRO5JWlSxEmlxR8WRVpdDZxYSFOmn42dW+BCfCmWdM7DvcrWAD3/LX9OdoTVwX5YfltzYfLax2Cxvbd2kkd0IAmB8CW1sOm1hb06Pan/pq1qa94sOaUxe0ut/Wz4cnCnMWVox/Ce04l48/M8SISAg9rQksHo5ojUrl4xCEZz3p65bYDKwMfA5sqpI0WAaYhoiwSjtd/LujRMut4TKKFGp4BDfmoUW/LGOdVgRnosx/QJDPwXUSp/+C9vfJQCWCwWfQa/ry9gkZ43WVPmS0p2OijXBVm9nQ8hZvNmasP04cQvvd0sHTUhGxTM2LV4rapQDeJALu1ILFgPAP2fwOf/HOwSa5W3tV2eof9bB9XPpgYxjRWr7vsLGNen43Z49yTjWAmLlRd8TgVwG2sBFV9yrdgI27Pst/uQStnYMM/QB9PZ8Q3SvdL02+jCiWcBwrmCJi/Z96ZTyL/f1x9W5eqsNLtX+IiPZaPSyEgmtiEXCBvQByNEJBWW5Fffyq9t2t/4zysh3VrkaRmzZlUzRq+ZsZ0X/f0XVPxzBzhQk75zuQE3BgHsJeejdg9LB8UrzXjHuLwGbQxGzvF3mu4TrMehTy62xrIuZJG2ppiW9NutT+s1yCZWax3ORmIog5998KcawYpEXgNYGlBxrQlEWCFSZ92TUA7fMponddiusphulhPrZq3kYwv3t6dzmwgve151515nPh6ZEzccaJ+eCJwVbRKD2vQ/s37Hdo+qUDFjq/7qQV+BFzyCdwCIgr2Qo3UzdZ7a+AF6rwmzPz9b53KxgH29FH6Cv6/nnj31zsmoOHcCfAwwMANzAn4UB2bUcl/fb7fdaED4L174ADPJgJWK6Y76PS4GlxM/ZaIcSrloLK6mHL9ug+gqT34Pt/NMAegp4GDiL3sWlV5jpMNeAX5sj/l64U7aoLcMP2fWUigSxG8Z3XFhrRY6Gc59E87B0sYwCPWdoDvrBEiL41eaVhrDcAD71IdZbDX/WqlrL/vOO2qblPVwE0o0vPBVa4Ygq2td8vl9I+zKZ5i3Aej6PurhP2u+y+3XASHH0ltnWXjgkKJVwsTNCxHnWVSXPh2/Wpgnax/lO7dH+DJuI6InWm61MCH2KgeeEhnNdyTzI3e95V3u94a1K2Mpt1hSfvc5qak9SqmgAOltt7mWYmvhSxmpl3a750AA08YQaeFeUR2p/je1ovyuIP80oPsyHZPOVCnCbHPPHsj+743v0M4Ni7gGqcstV5OpOa2Vsmw3HoXFKIsR5Uc3I1/TKhsePDfel50PCzm5+Ag9uvyIv/4GTMTjVvgFwbjfP2j491y5LMnQOO++26ArwyEqZ9qnD7yRZ1pTxxcTACAt2slMrcBuX/wLoFAYqeA87Fo2oho9WDJ5o5DNRw8d1ae47Pe5daPFFsflwF04mLgZ+gcx+LN53/ntcpeU1r0fg6Y2URpmvfrb9gHc2nnBsXKYO/pUCf1gVsSGqUbEZKOJ5sP+Pup/K0LAMY7BJ1GNKuZGRq/vZUDIcoL9ipE78+6lK7tQRdt3v/nnij7D7f8OHVUNN6fmbttDDkqb1yS/862Ds1WdqkB3H/JEbgKowt1zMxD7gMu/NSe+sFDs1QssrUOVxX/mx38kZupyp3bzCW6waddGrabT3LqqqVFuSGYjBfbU+Y1vl5JW8PpkaCW6HyU6q7tjYK8z7XRO2pImY0bVvepPYspmkXE1J9KVvyrxfrGDD9LN3vlxnpO30kOOoZ6a+vBbGeqhbK/J1VoZ5RQnjMU54NuM1+M1DXHbDTAvU0L/+bVdNivXuszHdKb6jK37J/z3rHTBP6dYx81Sh3uYdBbZodjyIeRiiqHP5uCHsoFuU1vDvD5d2rQDZ6HZZa7e3QLuauwWK9G+hKecasQtKY0cW7n3obE3qIcta3v8Uj1vtc7FaKoZLbkUrwAb5NjIQLik+fB23nYN2U1qgFW/qrQZiRcbfAIPLW/LadRuQdvMipUc+6gCrRinMfK1WNrfd37zCU/9aDsvPq3n/nm4BFGu83YxI6Xc+RDHqOsvwEGqJ5ItOKd+KQxOUo+ydP411eF+iZ9YL1xP8uFELKohUStC9yny3t03zvk2BRf/u/MiP72UvH9vQ/Pemv78qw34v3GIDeyYdqo858lcwHT8/WAQdPkvnH3S3ugg1ikPQVxmoDy3VU5Nzfv71NuMtfWlpGIRHs7UzUqX/ViZ8q0ANzrd63jzIb1HnBEkCgAdQD5w7e9YMFWcPFNXUWbmB5UJzzmG4oTVBzlegG9KCrZO5rPcV7Q2PZNA6ecsTCYRTfA1CAo/V2gQG/xGL29j7LGW4Ga1odTpI91QvoatZjkayI4Ac4WvU4jfZSd7aNQLXOA0w13knUQT/7UHbkzC7R7MlszZEReo+lKRzMci3Q8QVwwg7rK+zfbdLN3bn7loKB05guRQZjxVtbyXuw97IKu5ifYX/n2j19FXz5oZkd76c9peD4AbVeAT0XeqWPlToNwovngtLbm4JAvrUd5euEJXspRlO+70aMUXvkCninSimxvwEFbiIrJJb++kZuPuuMuEyjKBzel4SZvQg6Mwvpjt69T3694hHxQapCHNkM5wm7J/6wa+Scgsk2OiUiV077nICh7Fi2HzD3FwWcd4qUe3B3k+6M+r0csJ4V7Z3WMCRW2HgT9fTTRfcYFyWpPYGxnCXCT6jigdZceifxa6VCciT+lts9MizTF8b8asx4yzkRGxJntiQmNz8N+KZ32s5ToB7ABeNof5xSagMREMVvDGooVGSlgdHDnTis4okftuEfSRU896rYavl6VAC3K6XDqW++w/PPT83iIX3gEAHLImbz+PFR+/yAWQ0fBuadUPU75wVEzP//x4b2ugBMjPgpTR9Grcv6AbiGEhtFSR+rjGF2WzLo7GZpbv+rT8OVK61jz35rApgA+7l9evKMVlq3hMSWV9UXxyYz93VMJs2cudlmxe0I+5koqiHvgEVG60q7ek077trf11K9BX7cr6yNdgYZgDvVY5BLI++/a1BdgEq48ctGeEsSbXqczcFzQ9L9eIo7CpT3TMummSvRFgbBWLuRTqfcV8EzL54SjbB2mT4BXn4bGqQvDGsgjPJo8wDR71vK+8z2zRYi942Zl//XIHOt3b7bAD19stHNsES6HdQI8e1cXlDed+MDefCQG9pCr9qCt3DwGzuwEBPKvEa6SR9k/FUrdvb8Jstc6Ay38/qzfWkXVa4WjdCm7NmX8fiXD/VL54kqjduQcuClgFXzvQz2QFw3pGXijV3XNw84KPHirGfKJ9dKMAa8IPBeD2BiVBzwKdHTV/5u/XNm7SoiPK+jsQiDg4QPJ+NI+az4/TjKdyagPlFGlXNOfQuFUzDj50HbNa+2IQqnciYBHmgw4hpst1o9BjXsnbWuhW4XEoer5mx9+HhP1ID2ZRHxzLT+hBaxrMWU0ESWPA8N84UDMzMKnv/PabL1LPdwr0DqbDDSqtvP5CmXn6n6cislyEak9JJpEd9wzqyNol7deVkgF9iCZOoHQkXut/U0MvHzkvblyxyBYQzuxFzPIDbx3WQn8so7bnkvsN9Jcc6lfsk9J84tt1KudaSvh+zP360m9Od17//yWX9q9vLBHPDs78jQIXPf3j1Ns55lSBpoDY+6CBkDfoJEWPEYPCdEPmuKgufF4lM32vAvH6AN0eFd3LeHhlw887JY5zQMyhhD839nyqmTtA3JE2/QuFtxxMNJD/loDSLQfKjQ30M1uHc+kks4Mmnhf8mbhrvFzp/2GeB2q8O9171AiOoSUMz2raE33gCd1bzIu6RGw8/29YA8A9nbpmHvtLAU5kuieVpG2s7Q4HmZReWaGODlWEfe5nIdcpJ6Q0UOM6KiS3Qw86EYGF7SEwKeYVGSYTTlOo45SgsMNt14v7zoHjkqHgNZtHFPQAj2F335CXMk6+noCpvlCTGnZG8N78km79rD33B7wjJVyNWs745zP7anTFNuaUkSdHKk4F3ZWNXDycYIctN79q1kCPqL6zGtMy0T3qxFeyuZ9D+3xKGKByEINdXE0j1oGD+FNoY6dZ+P3Xj4QbGcLcAaKxmyAD60C0Nnng7OWth9RGHrOIc7++722dkYXrElUx3f4OZFfi825GrMFh/0D+PtvL5LVdcTOhLbzFnl6LAcdNbECfatKtZiAgrYsId9mEliQod/K506zkAwPWZD3/3qKX9Sky8EXMWM0agy5lb7wGy/9ZL0tm7hd9UJx5adPvESwM1Mu++DQQIwCZ4A8qHyN4IUYuvnNV2OzopE9H1GFliKlHc1Y955Hfx+ZrwAHDc2Gdc6GFPYvaKput9QL5FTefsLeuOKhHXWoHqfeeTW+rVshT8yzle5SQpdNedquSw6RWhvQ/UYLDVwE+KSsebng/80bvaoB3QWy/WlqX5vLSwzzZz1eQOPcgsMCOVYG1hN8qwa1UU66yTrhagkYIchTO3SrrYdPLPb0vLa+RBl2MtADrsTmAroGz9bv+o2HIp6HqhDbzCG7jLW+GvnC+tKXBVWar7/Vou5NghSw3Svk5uRkpmXv3B88zhw+Ktvn810OhmQe6HsDfx+vW8hhHwKpI8lvV9ylb1/HS217Nzu8OjhPyCEUNbH7yWXmHNyvV53YGUHZFTgk0XHLYa8Cn7t/Q2wBP4G3hbRbwWeTkJwh12alxNfSyR6YmU4JIJxD8Anv412/0VrfbtCw4a//Zpg99BAAz4C8aNAVR+6QFelLdfQHNKS9585Bt5vqvE4Y+npoBzR5ApzUcaOMI8jBwKGL9nwsLgtNNkqwdjmif3Ww0cELPMXnrZBzywX9rPK1V4XK1qECdm++WWe63BdHwlt7v/7zn/sOhQlHF+ux1PTZkyWlT5GuFKTCJiSm7vWWoZ09gxzy8F8NTAZ7+mrvhuDnfEphBuwheDbyUTnujo1TB3HVQywcqFzHmfzztJ433PZKJRvI6fpG/LQ4DfiqZQT8Q+xKO++EaVW5G3xCJsXRv7lmkJf5FTi39Zx55D3JKwRqhruAdwZ0moF91pom+nqIaH6UBTrYu2vtpj3P18V+sfOLVUQ4rLiXfmf5OgMuU9j7KtnbGku1F90/r+BnE+9cHn3NpzCt7Dyno2hveKRXHmk76/whevQonTWmnFS53NlZk8Any1XOIR7GFmX9ZZWd76/auyeNd3mRUay4i86gKE0dbu6Vi961jr6dWbh/3X8aywPCtKdFOQOndPKOtCBPE8XXTlW0g61FPMb0E55/PEXIgLZjR37xaAho1AnQGsbOLQtpvP7IOPZk0t4gH4K+ad/9lZ/KRyBvphl435543Ie8fq5H+s0G3QFO3UBzhaDbPyq2ueT9zEiijqdi04N22mG5bnM5XQjSCCPKmJd+iN48aO9+10PzBJylkK//y+dvj8q5b7l0TQU5kgLY8UJ/Z76x/XAr7blxtdizubuXexpBfnpk1qOdowP7/84oaqQ/j3Hkl4AGR7YJiDDdMS6fJ6T/zbCWolydCrTRSRTkkAW1nFMlUS6G3uMjUk38XFg0S5r0Dwwar0Fanux8kARy3qheLGoHmqTmBJJIRxNiYjMDl37+3oeF2oCu/jcXJh/bK5P3awWaqwJuc0SIZ26KT1Ga0V78UIFXUpIC1HNy6uhTjikSY5sRO2/P9nxF2YqC1tBF+1NFCnQhvTaCqhNDCDvAuV3x1rCbKmwvPGop7M1Lw4OBx/OYJ1N6SgzhUvxo2T/Ia42sRxusxwp0ErVzImy9lQAdQQ16wLpYv+ylXDQSfbAnPXo1iUC5dIELrd939LCXfvtsFsDuDsfTU8fTw87jhBzMYG/Otb/zAOt5Pupnw9I7i5RziluXsnbAEh2Id+8yr/chX12PUeA3HeT+Aj1wp3vryQB5410van3IrS+O0RIFMhFHwVCErT8sUmdcpEnDAH8AD5UhrrQzg5zpUi99AJTy1hQY9kBLlbe6qlicqds8qK1PFOqhip2LHUKx/OdTYbnHJHw7yRyJjGUL6OoOR8EP7H3Y16ZkUm2tQi2doCWR9cbA9ox0l3V23uFvfVovC5HZuUzAwV/ADT5Yoa+N/wUaot0Cl/t3zqbOf1ZVMmHV7XzqbiRmfQB63p7zdWQQmSgy4ByXx8H/C78mb2/vFZYvO48T+Ba9VqP4th48mePGvE/5ifEV4fNRFORWITOWwz/viG3Vi2sdm+yUbKw30ghsHLS9yHLbl9GhK+t3K6vzMHxLFbl97TVelaAP5bmJ8NEN8DriXjTnPrCtHtn5VqIRisKvEH5VWtB3jfRK98CtkT5Y70hqPQCktjhOuUtbavF93Bya0BwrH891qIid9713If3EmnGP8kpsJO3XpOnXC/OnqPqtayefp44/anje2vmfNwv3p8LW5RwZedY+LRqBIK7a71q6BeTI31pU/brb2vNVLdN77qx8zTbDkfcOBi6sHIiTYhIVaksJmjwvzEf5uvfMmW+4UyuO3rryBtzDCWRHObOzY+MgJn1k+4mLY9QGlTdL0M3fdcJdtUSw9+kAuj/nHQr2ntpXrvVgmFZioARv/yyMtTt9Xn80Z8BJAbnSc4Gvm/f5RkYlokK6T3hvM+hHD/jIY+8j97BQBzMMORyUV3Rxj8zcar7OVO92Omn7I6KRRmjPC2Q9ywys96p09RMjOx+yBdwFruSiHzWKdywTOszHEjhqXWjDX+tZ+bsXTUwL38FUjgN8By95sqnqmAyAUZ20/p6A7adY5WXfr+qelLDGt70XlA0zK+DyOeufD5K04rBk13Lp35roQ3M65rb2Jb8XwllnPAp6nmxgXdwzaKkZtMi1gu8hiy+HDQb4/WVuxOYj75GqR4FF5PhsaZe6X72OibGzVj8pR097vkHkZSaLeHumAb3aYMU2RAPf2nsp6Ot+Psb6Jxvmhbh/H6dQtafhPubSfIt+6nGof9hrvVChz5gDE40nDLEvmjh1SNcGKpm6PJrmuiCldfL8P94RL5nfGfZJWJryiaVwsfW1iNXR3gXW3WZgBUJVrH81LWSsV+41oFlI3CyayCQtWcjt2TbR9p521Aig4JOGFJgdGWpnnnmo33fZsnR0wRKS1Ai7kLdwJc2Oxl+Lnf8pk2bWyJ6r4aCK0wDH85n56CAZKmopBgWRdbL3el7rg9Z7cidwsae+c396cW/qgUfaM413zW2IvZbmfurl3PZjrXnT3xzNxYgH5yoRunIP9sDrzwL7H/bmZltKx+He02u6tqeOnQG9WZH4Lk+FyCGfZfVwJ/AcT+DDh7Jfr7SZsnd8neDPbX9CZT3FzBQf4+ylRfbM45W9/HerQjnC4U4eqkpEO8fOzj346kdxjYgErJfBvnR/62Ldyp7NObbndwpAA/ybVfu+k2qSzSyGgNTx7VmPvfXd/KgLVBCfu3rgSx3CN5PBnHmwt873I4uEozw+1wvp2SKcUlq/eKGAvxrut0L5YhYOejRxK08ReUA8vGd/rA6g6w4uWSAf89JDvz6Nvz4T//H6sJOFf6RoZV1kT24QcPeVf/A3Kei9HHC9wmi6gSYYrNcw6VXEhd7XbjuRJH3wJC2Ae7zz1zce+Ux94pz6SdjrigpwvmJ/F+C3CHhDmAODhDgGxX1fyoLeVJiufvuMB4VljFrhiQ/hQkrsW3s2/V0XxmUScJq7eW6mc1X88zIt83H31DL9UT6JTx1acm+9LQWZKxd0sXcP5KDH0qAL7EYBHG0LsQRc894TTmMutQK+7YAmiwlrM1szTQfrob5zRa++mygdmjF94zwtl5TVEZ/zcVMBXu105IrSM3fa6eepJ6tqQBKw4pm7bV5z4I2xdZHEizJNYCeNVCY9kmHtYK6sJ1RUJygru9SpY9CIrjI0bv/5EXHRKpWICHjLtZHkhSXpmy69lezvDHEOa9YiOlqPC1JmL4Adtvmh8raQ113Cu8ghfotTSEfZz50eDPA3kzRuO5buJgcdNfHh/n6Hl9pRVPStn5nNlS7GaUS6qjr9XQudAQsQKmqx2K6vYnubiZey/aK+sfh61F75yIfmevD17iTEY+9m14bbGqLIYSM560F5otg9YBe+7wIy2zMqEoiN7e1RjtnM2CZS3N1nonR4SK7ANxwWUZyxL0/F3FFst+DX/VwN08fBcz9ErAbCAynR11V48+aUcId5T5ee/7j52D8h5t9neofMuRPimAiQ5KMBvUy4GpmrNvD+C+DkofXWq3pYp7FZuJ3RyqdInO83PVyWHHQ48MZIGTt7Cq8sf5UFoI6j8yYmFfXmpxDi7VUVV7BvaawxNeZp62RK6d4ld7OT2cS/9e9msweN6dWx+yDxfIH42+okVaDvHT3sIM6nR+3cXsBhFcQ2ZtLOW/nzJBHZ4/7+EpF69y9LyB19HbmBres6GdABflvSgnZVHKy4B9xk2V0P3p+HXvpZdqAge/LiC03rIfggzu6qzObH9gDoSD+P7GulvCCrx+mbCvHTQN6RRr/v2raQy2AXzjNJNsDP0ZMPva8SPlfL17Xsg2/I75+lD1zU+oyxFkg+funIQP4QprL1ur7YNAPweUF6cr6nIm59EqFQRs/f+R2akXe9Dfys9IhjWorOSCFtlcQ0CGuk5mlSOq5T2zpll/7kQ7s65veAR9RnfHbw0rxKiNu6S5e982cunfZ8FNlDdgaXQn/oXkwn7toeoPeM3QsHnAMuXJxi2gEnn2oGnJoBrz+vN2rAnvb0li3kWY2bo5AIOLXqSGhmLKPraUCOLGhUJY1zYimmDol1QRLLe4TtYUk226OY8v/lFHI4uBt7x+XK7j/3RMCNdhnEEIHveLTzegzpSOS4dawBD/TP3tfw1ZG/d7IVC3WmIkSa4ekyyNWnRFfwf26gofP89ee6d9X/7ivDEnS76PNo59s5MnvXDAdPfHNECsm0S6P79zF2VgffOiy0qErUOTNqIWZzVwJJ7fy5Zr0Caa5T+DMMHNpg4OgVSL2jvA85xMG7tmf/undyCC4k0keI4+TgBXz/Wv9oBvxVWL0NeQyh6LC051N0sX2WV+Yb2CcpkfLykl1rvTP3VIoYeGeowr+ueq0riA/OE/WD+3/95n1u7Oyu9ZmPqqC2XnSh7NQp1865qQBjTiHaMdlOqhPysJjnATSmvaextRRsCCLr41L7X48qmnZ61JU91xZhdCVIw+fjRXjt28MfdBS5kBF4fE832nE768vABFlRtHtQ2a/+M+Ma/nwAnZRcnF8PLXl5HosJMFynGV+f1XaN8ShS0JPb3AgMa+qWRfrKFqE42rzvbrq9Bxg3qAWfb6CzVAW/v9aL4dxp4HtNLey5K09aSgEnGL9BpG0emZgG4NDPGjDvBBz2iNROduisgNeSuHwdY+U3seULyqmL9p+u5H76AZr6d2YrDjerjAOeRRziyP3AoV0zhetkiphBW+AULR+Bw/fmt3eZAI+vx/QBmvBeJTvQgXY2TAb6T3HM2laxxp7fvrXe+RgTDu+sZfH9SZm4Hwv6QYHrNP38LYppAe1PThEqgTOBNjMjcAQnd7WEfGb7L+La0zQX4kA52eaJyCtvWqoIMRzB+3CzJY/e/r33AzNlUBablofUV/3cW1/YHKksH//OoitXVbw+4yHIf/3Z4FlyHlT5ohPgAkQZ/KyiGb6DgHe9mWho7/eiJ+T2HPjxI/PLWfib92y4rhmjuZGw7oYeSNxDHJXeHvC+ctU3GdQeeIT3i/OjMcKx54ao56Bh2LBGwOFB7SHIs+gh+sYr+T2roiCG/YTEsLrmHuHEtG8PE1WOeIZYgGCgdqbH4RRPaQX/siqwr5F+VZ6aYf//VN76WaMU9Cl2eEKpjlcu6FDC7dzUUVubrJw76auS7pbInVfFd6QL5FDvnz/AZ9ObNkf6Lkb65D3ZA6f6xoP1/5tpM8x25mNVDrfZnn1UhcG5r00zopU0ynp93rEMrmVhvNw0Po9NVDqBIqFo+e856vpKpb6+71PqIt3LHvgdn57wrhRgS3sMy5k5+Fn2LrVn+3xMPzIZtE0I+lVQ3ERo3DtuUDnCq6J+dZQamIBJMneKcg94ptisBE+P8Hw0W/6+7wIg3vSo5DoClVICTnp136bHfH0+jW0M2qxTne7s/TJwLdBa6Zm81kdpcTrhC+RTnHP11KzNsSCfFYdsbHt4enorF4ohn3oY6fc5W0HdNABOcQA9Xun8jyMBc3CIH7nHfWFnMfXPqywuAWiZQ+WkkJ9Ehr2vp+7RThR8IWMK3+te5CbdW/8iFemKuLoE3mhnovzAGr/xkB1jN2mWDVGLONTmy2sKI+p4vpWiTbJxoyRkNci/N3vum4f8KuHfQxy0tavChtGXTogg0p1KhoAnlJ6CmGyi+fM03DwCGtf2oPz3s1zLSYB/Ap/UPWabPkeEnuzMYzSlJ5Ma4KM5cyc37yel5LxUvjpStJmZ14Z0WLOThNTiTRvNxFWbi0tBUe+d9gHx7yh7Phf+8yI4Z+f1WcfOAvHzBHbl8bDxSAe4VdB9HgX3Y9S4gA9RZf4+MobyrMPP2iemLnRZ2h6TRCWYB1SwyDvK0j04NMcdYJSgSoM2zmDHv3H+VMDzipRqZ+5qmx8jGhwhb8Iae7VrdrwjN5KQgqEJdHy6FR5CLNEt79FnVrS+jmYmZGBszzGLy8fBzx540Zxv/1zV+Y9Th//mwy7UhfVdskAUJNdCTbnn/NbgMxd1Jxm5zPoO+O1EfWDcnp1pP+0z2fZ5HPnK3VAxptfKa2cVtqwZy4fuaA858lU7ZpU705Zu3/OJbk/JvhzYOxvQ51XVkSuNzEe+vd/lMB+aBX3Uyddr75Eb364h3uYb5JAPyEEONq3X9Ovg4Nr33r5yJPzK1fB74eV9mgG+PTMuNoT/85FOGwl5ysde40+THtKtNF8ulaTV8vKgC/bhZzM7T6pegEfIC+zv1Mn7gPzeg0iRN/AORPwMtHc/5oPbak+k1nsecvD2KLlzGtHbi8DWyx1yj/4I97Jk3dcT4u1+jNsW9P2LOOUzgz1aFehgPewEyx6Nrz9KEFK5C1jdB+fc0bi0/Cman3jcPGBfGuBHnIQkqs1/+kjf9dg8Sisp0xcv0r6WtwdoDUDX+QJxCRi6epBIRFV/X1WeixmoiaZXO+xfVg0CXEXtq+ohr8YYdFsUAK+Cv7+4R2Cf3GkrHXK/7M0bD4PTsPIAc3+yrr3ISK9gx6uDr8bGp3c8Tgpy6eexgP8zTEHTbbbaT5+/HhqsJbgngnHS1lJkti9Zy/XceGvObW4u2jM826savt64UUn+58qHucwKneRj2zbxxd277R14LDv91vOmEx83LWDQoJJLIOQ9Uz56wV58gZYm+e8zpSvsTwawBjT2fJCIpELOCtb0pjv+xsMb6EoH9CSs0Z9nvpii4RPLXfWp4/lQI8WISCGPtEzG+g664yaN+K2vh7wY2JmWmQ/I5Kx3mZNy3gdAGmfSjPB9esinXGyt5n/fIWpj5O9cA642tZ0nAHgNWvNlZxvWYjMJq2sK+kMHurP3kmV/30vAc8UM6Brrk+SyzIh/viRMQpwOOtBSA2Zil3H9xo2o4gg1YrrkzjxLlN7qqH2eCvQNuWllubBIzEvJ1lSo3dcFIjlqglPfblkUlLX1+O1EUVkPYW5iPhLIaBBbot0zY+s3xKFy/52l3Lhz5ycxbfNic1WeK06xWWW9UI03XagzKz5Mq9pBj2PU2vra71OkcW7aLR0meLcQgcP0xM40yiRNT9EU1AY0vZ2/KMU3ZLMJdNv7LptU8GVAhQx5gRLAyjY/32PSTx0tyiAP27yWDug84Ed2Vh0PVB0aphFhzLFze1UuuVa1Czjvquh/vdVTSCUNT0WzSGbePSOpDgmgMwIeLs5YTKTq2x8R3Ss23FzKEOT2lfUq/cGeKg8ezXiS+nq434RR9NTTNut01jhuWQlUgV7EWUe7kkWLDDcUvnNb5ut3//IL8mfPu931FBJHhWhzYpuCM2A/RmxAb+Yqcmkl15XgKqlEdK3gOwK3Gk8FxRn/WogEnA3bbzVmC/fEFvIROUbmwjs7P2x6kXz9zpUD87DPIrzSA37w2OV84cHBwc6RR6tj0h4ID9LcTa1T9k/ukB9gcpOS6qcJ9UfWldeT6R+gXX6sVzfuovk0fHlHTr5B03yK6Plgzr8+eqR+a0mwg12L53cF8XXDjmv9er9xb2edabca7nfIWysWzRshVA40l4mBRqcokCczRSosPZ6Aeh12di5or4qU6J5UkNNemP+7o5elDGTuzRxyjZRGyyZer8ohrXS0svdTZTn+fWYuQbQgsirIQQ16D/qQA3drRb6+4T7IcpHmwFdELefuKCCfFeQqRkAMh/h7/1+NND0iQYDfYw7ckHrttjzflgPkuFNvfV1tHyS5q2Qj1RD8KGO8GrS9WHRVLoJArBDAph/m98EpJkRt7/uaG7dm5VLb3M61qMb0Pf9Lwv6sTtItARvKZiEerKn1ueCVM1lf5Z8T/zP/YnpymZkPeWcxV+y0SEc0xChyBCOSSdfyk7QGTX5idMUjumLiaz7CvqH9/X8a1qOskekDOLEnQLOxZZPiZQOxhB40asPcR7OI58CeiYsBcnx/L+18CJrg1XF7X4EW+BEhiU+23mg0M6Argr2b1II+8Osu8yF410ftMCOxQuXLejjtnSkB7XzDo5pUbFIaasptfapoAlsbSDz3W8TKSN4+yeB6eGns/DWHMOAhCSlxBOvGyBXi+nHiX9fa+pygfx6S/+UTgLBDae+3zsT2DgKHKwfxCet4OwIXOHLXgTyGAPtd4RvrpQpYI1aZAYXC3V1jdRAzw8H9u9Rdm5yAx9aSA9b0Pg7fPXS3pTZpaX3FM0k3jIOu5/OII+Rz9KvDu4NvWuA4bZXYiYUadChgbCHO8KaUAGxQoP85fCbksAn05cLHzFeIPyCPDXJYf5D/1S3/ADJ3sAfGvBdYDm2i2S7Q27tko7gBY16awnJHs6kcss26TUDPaztr5Q4YVVk/IIgT4A78QbzSBV2xOcH3Eb3jAt45tY0395/P7Wfjbu5Emgp2IDAl41SO9Vf5AzpZFzngUyaVZ2tQ8n6uGnl/VMi6Bu/8Krex0dj5CaZ07ivO06zyjQv6FpdsY3ltKYA/VoCX7+8lbA2qs/5ofIKZD9p+sPMQpyMbaVZ65NlwfauZ7mquurIQcS1tDS7NqcEr7tBvsnwBt7k4e3fz2Dv0lvUoKwXKc4lfwE9/GHv7ft+5iP94DN4hcHNSMoUgtp/M3Wxot1uo9USOprgKTcec8lH1wNPP95UO9ZAn2prFXUjYdifbQ8sVgdxC9Yi+Qfm3kDu/6wEl3MHvc2w7G6VnC+lrL4V36VYU8IhzvTQ9OQKzABymKyUJxB991HwCbuPaOapDEzbXgxesmGd7j+dALZvLaZy48oDnwzNmvE2whyFP//M+6kj0BTECHNT2uoQcNFLwkTkko6+1rXEkepxu5RDZOQOQ/0Bbyy+HFMRylkpBnIG2UDnEvnZBQ0UiB40IuVpEXBpQIjsQFmh+62UW/Qn0QErF9HfZafdYiOuR2T44/GC+KSjkTQrYU3rTgp2AC386W44nBnGXZjoDz7GzmpLMgPaLlK3hm4BjjIABQlpN5uk3brTNKM5NnFaqQ5c6hrclgx4w4yb4lORR9rLz2nmy4dhZgza+ZywWUdnRFwXNCfvh1wPm1LVZJchSifbBPeDsne3T7F9EtiAEm38z76jVeD2Z6rF/Qa6N5RBgwtpb5bi/syTUuJv3zs47JeJ2KsR05Cnj3pSz8z3AffrJR3Skol+AryFla8JBC0GsI8k2sgINkvntu3YOgz69gebp4c8LvSCm4/ux8TdHvKRdvQBOuymo4OkO3+UBWqECnQZab/PIAQPseRlgnkO89rsaVVl2bYRf60szzD+0sP1M7gDP9+5D9EiBYpkg0CNrBvy2BA69NDwIgWvtuHS32YJy2HfAK9NYwZ4gSfrxOw8dOB4eTQI6rGgY6BGf5jlvnRJ0hXqtvdN2fS8l2jfm32zTlBhA4oGWqheucKgPv3oJOktwAvxwnTN/U+29FIjtum8KiDOp+d4xhyoSBzroK+0jh/d0U/rtWPGvJy90VLvatfcOpwRJeI53LRZQLRHJsIc30niNZ7yymBwG+M5GPYNekSxpr6pfd6cOlSfIfachAE6dLXI0tv7ShZhUNYd4iOiH7aYqBzUQ+XwARvvAqT5B77/5vFRF+Tr4+HlKTA86+4MXJqtHsYM820IsuHmko1+9M+BrZZCSgrIqmpjwyidwpTAT0cyFco8JdZm8O+p8e3IJOYW1z6zYhDK6v7EX5YzaeCFiWN+pq57N0H5y6ws37J65QLaebJQjuVd+9LJ9kHpQqRyV9fobyn6qQDvvG7Sxc8hLyCmhcsuXioNzI0E98PtDJ82b2zyxsP3Rc5GxcuYFsqNUoyxfW5+sPeHmAjnN3ik7pCchtr4oTCen/n6GaFjqZFK1L2Lg/9btBanB2DPvu5CAONu1UwpKa9S+fQ/cyrmbw+v+I/ve1QvtJL8teMFeOaK2Tja36nUfQItf6jBbaeAe8ByXrEChcNsBuBcjvbmcJI2AxKWaz9PR+jqZaQFu8EM98S3k+r03JlwQF3Ac+BAidt6kGi9P0AkRaPKb9sWHSEBZ2LPtAfKBQ53ScOAvqxXtg5m7YtD+bkW7vxDXt+UkxV6PeqPg+akEvbe0PUebd680B7x9HBbbo0Jfpa252v5xc1T6gIkePB/mkigZfjnZbx0Z+ag8dFSuZnn/x1cJrKDzhABXRxy1Jel1iLkbl54pCehmiEXgVO27Z8TPionjpP1k8uIc3Mx67IcZcMtj/BWUxhxqPzXZIA4ng0Y50CcdIf87MyOFamnSxoAT8L30B3CiV7NsjgK1q6zDti7Fh+9pcum+aw9cwBimJT3ISDwrp7T9bN9kFHZyb3/wAOc9YXvPgE2YBLTVd739cyXxhE/d1wP0MLyv9rPusyWPrUe82su+nWWvP2Bfusc4YMqlb96LeaRpzqcnsedlRplcbIBvtFshU1Ib4kB+mGBPh3lycUo+ufAsHfV2DwY/z56VshiUTUd67Kzs/A2u+3apWB/koH34Qq1/+HvPTwfIAUcZMGkU6F3zYvzPQ+br7BS2Q90pRW0PFFL72uUP2WXeEZmjjIKhTsyeyoubG27jCfgD7TJ7bwk8lC06LAfs17AXRDS9c4rHI5EA3r5sLj+Kv4AtbYX93SxAr4FOBC5yeQgutlXv7uthepAQNGYfvOBnz9YnEPa5fwRur9km034bZ+f70CTNMxvg+yaTZ8/23nXmGHI0HdQjj9KLgviqndsDeMQ9G+6DHJH1Or8Ad2YS+I0oNoPu12e8/HovRLbPTblkJ5KdT6W954xWgN23Jv9jPcY2DHi64M37HNuv3HSsPAx7rsXKm5gcyJUOdLFrXsn5AXov1daXnplIjJs844ZZ7zsQfB88wT5w7lWz6JIu6AF05LPm6bdk9JMNE8XAlWoxvXvNnvDeZtDYXROB9occkcfNSsTArxAOsIeWGk1F7cwFlrMBrfPiLmHVIALIQwkZy1fmTy7gvG9nD56YLgCXsbDx0ZMX9TSrpHnXLT9yzzUKcLzqBIeftwWoGUoDIvU//BL4xDojbFNaj2S6XYP2Woc6Vj/lOKUQ/51wWty87oHubJ3wGp59s5DX7dffBnIaL/vAfZ8DcKZGMk4vPiDMB8jwPvquF/oJGvNRdqVDYpTQfo4rp3/QXmyIUzp2/qZ20lgiGnCDbrgjP4D7ThO3mVg2HxCzGWD0R4XEsRLpu74X9r+Z8z49Q1x+UH6/5Hxt6jhNmROkJftyIV4g/u9PlaBNWQD/4LZO5hnwPj00iZHY0wFD4n4KKeSr1CUCvWBPlKABinxpZslR9D7vBW2zFVwB793NGeMzPJePnZsjQtQBzyFNKF5CkFYhU1LZfpQLWrT1bXVFoYEfcmQMfE4OHEadhsnkIeF4uDigY6TuWpo56bsm8JgN6xv1/tj70nMpoxW2k8JECgxPFNhvDUXa116waK42jZyS07gJ4f/7tKBzM+hNtqgJ8uy1dJXfDKRtDPnmURrZe1igvhCX796K22rvtEk5rF7AlyftfjnVsnEgD1iNEkBOwXU//9Z1AXe7Am5cS6O2zeAE8L5l5YtJOSnwQ/g83/R5PD0hNi/U3scUE9GOa3sb3xh1bLiiwH8ep3j3IIDP+XZtcFeu4F14TdiSX3/5iBwyV32KWGwyrp7YkJUe5n0VY1tDWx1jV1CjPqRICfDhZ8Uh30etk7NszkE//dNf/X1P7fxNyEnUK+2Z0gfxNaz/7nUs1FKaci4Bq1RIWjwoH8M7B/5z4D1JAau+S9hnuTvZGhMXOOiWjb9+iaANyJX4aZf54n+13/1tbnr3oNFU2bqSEnA3N+UzZ7A+Y7tQub423J7j0xWO6DOHjCvklKshiNmQZswl0ykOFhLjhyzwU3jGzjrvde9+SJausvPtrYlU0+NXHd2j8nx3T5xfuUD3xs6IhPVhsB+PschK6yfi0KoU7e0YzwtDNCoXAtyGLzXHD8g1n7lnQjWII3aBm4f0QYd0wL31Z2vfuXJ1FNMZMABB/lmp/h4of9NLBJwqNAuzd6LjbgUYGNaDRo2cSc3vLSnwy86Ca7gpD/400Y5yisx/65zVUHvi8xj9cSW898pF+/ddGxNK0HjqpfXgC0F/wrPCu85+Z5cK7EvJHR4Dp+DPV7n0M/WAQxZoAzz9nBW6I4ZfYQ//NEsaQQ7/tJNXSx5wPJIL4FvMB/WuqzxAzt4LiA0VPR+wNx4HZ/WQg/tspLH3HUiG2jvmf66coQctpoFGxIPYvhwBX/LXH1/Gxs2cO2h/9aEWYmff9adhLurir3XqC07n97noPa0SdMQJaAfgpzQyIDnRdyW/3LxrO9BmY96Rs7D3MTFKCaCj9Q5kiRFSujPkuE94R1Hui872zhF/U1InuJWi93hc+qJfk2x433HcYV31tg4jH2K6z3qyzRzQ23zCx+2awdpazgv7Xtyy/n47DWlUn+8IAz+wd5ea0xVNVFYWKc4LbfuKklNCzoD1JXA366+5BQ7/rhelLEk/SShy0CBZBhpEx/qlHQE6s/VOPDDCnX4k8MY8pL6tdeUeEsTROfHFtYpan/QreN4goQWGvEpepavPoMxn1guFrf+g/Fc/X0HczXnYRsAtdnYmTh5GsB+f/tHqtFgrGaPit5eKbfpmsDWg9ixbe8RZjzhuOYnu1o39AE9yrYrUegT7ZX7/0Ez/1A7Fp/Dds3/zba/LqdeBkEjVYT8D5wdcRGNmkOAIVRqB1gmjZ+NHq3xBLi82Hl5I2qDGyQ2iucvdPEFp1aVCh7qEp+iVAcbpm0lGN5f305tjP0UBmr9A+9KfYh65gG3zDYeKY3fTKW77vDMf+5mjisjTRVrkA2hekV4wK0EfwWcleAU81HBDjllHHgxNPosufsZJqBJYjVi/PyuVRfSyHpi1byrYSVOFtJ31dqsT20eCQmb9MQbNRTyD/hY3IjZ7koisAszn8WUFHC898VSq6O7USbbUndWWkasKJeolvZMOvfd8TBYU1NGf337K0qUhaN3U+rwr2J+4nxEJtfWyVFWnbDEnfKaidi5eKVWvkN6SaN3XPnmxQcG+149aIE90ag/4XMBzXoGnvXkU/Nw0qCLXapDInvfyJXvYuNTDbaHefNv7erL+ANptc8iJcyXJJIwIctOecZjOp3iNAJ8kaFA7ccb2z6LM0B1F6RMwackKIf7HsZ8+K0CH9sDn+tuVO/eYy3VyLBDLX/D+4p2LOzubMH2BbnicULrBoebkvFb2bBO43axjuhPh35mjv/a+7obju6q4YMckzU7Rv7sbW8/BIadfQIs+yOB4wuu9Kn56Kka32s+eGDgott6pjIiMB9usx142bmbmqi1osy2z97zmy9GheWHIpfh194/b+wU7087+nst33839wG2fl0fm0zh92F4jC1J2j6nxr79/rXcQz6t6TFPQr1ssUyyjdlsnNANmfLbfQ4cE8M96JK9hr4pS8SCrZLuApgtzVwQatuj7HJvw7HVEaiOk2UhePmWiDjnkvqxHL6sjpVD9SeBr7ohb6dyThrut7R+0PQ21lybUA14YGrcRIiRGzdTQg3AAA35n9QAX+T/rBZgcYIM+mu2a42UXnIBXApM6WF/lOiZV3Qcf1aIK0OllI9W8dyGAmfX2VTPol6SJgn02tO4x3NyBd+WZ4wY4ElsOOR24aJQj829GPI2CXkTKrYooIN3OIyOC5xMR7QDjXX3Mhdoxb+WVcj02+dqjXhCQsI2ZPz0Bnz/2XnrPB/dYjdmjGujusKiy5qDT+3XYODgQaPPu4/jW3po1dg391FUe+VSQ33EUbDhr/MNrncH/90CNUG5r5+P1gAErINZaeI6U9PQBb66qB3ebceHzbvOjhLJ64Qj8zYN9n5+2939zOVlEN7WhDnbJQRjCOMSULtptla9VnYgLY4Yr/2sFvGELePPJmJINQ0aP6AIZCvKVrYcT1qPrk8vghyZfM+wdWXr3BLTfRTtk+odRRl/kSHbwfiLlp4dTwZ8atQPk4V3NzVOMBll/ppOIFtyvEeup7ZfeANfjGUs7UpS/9+xWa4Du6g9u/9QGzwT0PmDY0/aCvLFX8tWTw5rmzt3OlmEHZ/1Rn/9Yn/WPw+t+h9y5q0YVHfmXf4r+PPYeaMIesMyIb/jMtPEQZ6BdWURyGaezzZewBi2sxzfoKP/I9Hu9tk0ibM2mIAP6pMN6U8E+yUc64sRg4qUfzJCkMmb/2wuCEMqtDjegWXyI3xH4ugMYzdOLjlwf+FCBTfaCXA6cvrw2oIZsbfn7szI+7ZXXPI+yPepO3UF7FtZjQUc8yAfq1+4Ul504HlzQboM9bwEdiuyssLspDfFpgspyzK61sF4MUw9aUjWDApAGNcADevD/zUReDovpyZDN2v1rZ26tmvP9XI9EYURVye3s1duiUHvEwnoMadsn9dEkG5YJEVOPbjR3lmZMD7igQozqfAJMq5LmWvWpPS/82S/oXQfrarH5Pib9szKwexOTAcfKfv290N8H8dvvPegh4BYD5JBUIj1DDhPEFYcKTSgfxdX6fxHgvKCrEz7cL3RoOQ9bh/zO50RD2bvvOiJJPfOJQR3W0ezkY1uo2N3C+5D5qC55jyDfpFvIRagU1v9SHwF3W+BbP8KkO9ijBXCAJzEtoy6NLIY0CbnU4dfM+ezKEfBncN8+MC0w1+m3TplZ9setNjnbPnddIOAPLQHuOdaxK2XSr+SYzpzptgpRViWgN0f+5NJd1VFQSUGYHrHLkolQI+D/GdhVgI39P+8+BXr7UwJ1rl/rO+7+4yVfdV8r0Lu3kjVL3TdB6U0G9zioIC4YDyD/UFT7ln/sQBunR8D4sfb/rvYeWUnZvIDPP6vIOMLHts/0Xetoe8gzPgSw8117jlqRF+CevwGtCskA4g3wc4e3a1V69j6mtfPh3VwSW0+7aYromfcaccsf5fxThSYDrbJh6CvQoXrKeLUqe/N+hyX3XD+PVEitl3Bv7pAzPkGnJjlQ6qz/vV8UJ0YG+NkVB11Y+jtfmrZi0SQl/F7k8GydPoNuE8AZROPooOnbWfjRlcEq5ot416X0p9hloqBnew+pvDu1PvvHeJ0qe4YTbpT1MGWQz4HzXBXTVQPcsma0ogh0/vnOcgF/74hUOy3KxWZL+3IWYXvB7tSLkc7Uj977EBOjlzo2bb2QG48MaMzV1c7VA/7iQV5XwE1/IK4I8e4/oI1DyOtZvr0PFXA85rjfJDQfRJKHOK/dGjQpk+5NI7Sl3d+Hlio+RvR9D7uczOVRem4LOWTBvjKg3RY5XoLKztkE0Qfrt8qG/npY2gvk04E7wYZF6429PzqGaFbOvG8cspUme8hxsh7ufTOSFQ03FXcF5jx4132NeZTS3KQ34SFVjehJHfiOhqBybFmNgDtKe4+c2ru31d6F/C2ioA7FsfFm6xkzEYd+iF7MdBQe66c9xNgFcEbYsxSZpEPJxPssJaU9yrR3c2p5D7hLGR83E5PpDDhS5Dwo9XmNIa+XwI8dbvqFDdT2sLpC0E01rCUtKPDWtKNIGCw2belvfnShJexloYf1lbvTWxMNCj7/4IsPvl0/TnwKuHe3s6D3OKa3CrQUQdOzYaLFr/U374lTL5uFuOkWeI0LlOsB+NpZJwI7RxT071NF1NZNxlW3Wzh8nkDT+z7lQFxDOAL+HAFv9fSZQc4gHrock8zXHOLEXIA/Tx0GzXWMS/fg29o4vIL312sHP3RBPMCo6JTfq3KYttrZrU6FuQpO7qrDwcET/2L5sIC2s9heTJUON8A01Udz/mNvnIHPPK/aa+xZzpF5E+gM7lGIZ+0ET+X9zlJfNa4RbPvHZ07m1ubylMM0KDl9n6I2yASRzJvfPcUvVrSfMtJ946WbU5zN2FsFdvYbsXeorz+OlBcHdPgK+JHJmO1LnWLQrhKi/354/Qlq1sP3/HrajjA97hw7d4b4zUrytQdayyNyfscXYYwcJDOysusB/Bc0rGEccdCUVnMcm65/CHlPZH6bT+ebnfnz0Sz6EzLLBJod1nuqqvFvcOQir8fM4UvrAb5egUf2LKZF5rz7K28r1jWPhovvBtY089Op4uSaLRT4OoXPS5+2hkjx+Qy4/dr7ED+SL+WYWg2uqEBjbWf9xMEOMHsH+JHosXSPEj8r4OaAYc8cTe+apaSy3sgSeMiQKps37fluHdKi5ve5EuKed7DWMprLkX6civYJutnPlxbyHoU9M9NqaUcSuQ6O0uHgrX9YkWbAK1M2/vZctbYv67/fy1Gi9SAOUj7sXpAn58prgftSdPDtvI/0IWK0zZ0mOG1vgAt0A9y6ZxAXtY+oPdc95X/8vUNXmJOtMHqPB6Hqjtv6l5AU0zlH5M3nnWYR5lhELmjzw8HVY2WiX7+yjIlj7s3fxHteDy4FPqPT0xD8VCPNAMeLXF7c0k9h9zVX0FKPU5QaHM0b7kCEcXpQbnuD//NZC/qe/bHX8W1V896p3NZvBAKeRkfm9S/l3LdV0l5Av7xOdsbZqHvar3/KwbQNmuyMPsD6yc6MN1KmDmDnuWbCLb3V6yinqjTNrOXtufee/3y/7Rkkib5WGtQa8KzpyFuKAVuZEbHw6Tes/VP0q+XE2usJ1OopoUkVzXGNNKmj+5kN4kXj35kar6ZAoAZSkRXpsx6wB9xR5vz2/iwG+24kSTorGbnwfljDWhf4aSZAs+B+5XJfSWHX3To//ed+4OPI1eE0Ym/vXBwZ7R6wNk/eq8723Jej2MpBH7JR74GDFCSa/+dH5Dn/j6lz225VV9b1K3EwafFlx0ZgbEQQOoDuALmFgMDEJjbm6XcpazpjX4y2VsvsiQ1S/fX9OlRZVW/u1ciPJgosqmUpdnPxuzdtobUqJrNnfQc2hxhVP4nlXYwPlXtOc8cy9WpWxRZfIZ7zfqLArygTpldAa/JNAh7t5WHHhqmAP7dPoUuYjwi41BbVvvGaUXsnG8E7UMD0khEd8yq4PIGvH3VoPXPXv8O8trlGK+laK+lRDD40hzEdzfmQqlOkEWTlwfz6rDIXh0c5+vBZqj1a4LPAC+R8cugwg14FG5jrD8xMf1P8rAo+4V7fJVJRw6VDVxlKR0se4CrXcpf0GEAk1syK9zT6tOq+RSmK/7vn29sb5cZIiAV8DOTHcBYpyp7lIL9KB9m8RywNAvAnED+OqRml3poRVPw5H2CenEqz91SA0gSZqfvtJxz8AOTA0vEiNrKNtPXrHFFSrpqpcCIw562a2YJycsODt3BR3s/A2cpu38CrfoC+bvC+uVP4+dHK7ozi3tQ7Tpn9VvZzT5HMc/RpHyGLiZB0oJtJZck5d+L0bx92L8Ozzh5q0PtzKMeS6apBakNcxCpB7Gzl99KeRF4kD+CNNQ0+bcZNX2Q8Sf65VgLB7Lbzegju1GGb2vggiLNq/Xet92oED/p3/hD4Q1edzgSNEXBSd9Z+eh6SZxIRmAfJU0X+ia9oLfveTUbylQ9yn1ilQ6K4TIbtR27hJXd5JG085S5GJn5wPy35qsrK9GNF+rVH35UFsc89vydse8rEdAfP+GS2LkGv79mQrfU4mbpT5uya6TfjiPzdwijwZNHOtfFnkXoI8L9NgDlj8YGId7ui+EhtEMvn9nr8r//ylznjjt3LMzHn6yj/7TGZh9masskHXpvBey8AM7tag6f4mmGOEle6GJeurIiYcryXruqXN0oRpDDgGzdz837KctOLHQUbNczFS+eZwL7s7bUJHxsVSVatKM10YstR3sGnO7ho7rJjTl0Q4DNztg2fmnBrVwH+anjyyCxSSu5rue+v9Rg4DZsc3ONL028lCyZQ4ulVz2GHe37KePZoglbUA7Mp/bfK7nOFuRecGTDLbjunbL6xkcO/uTl5uP2uGIM5iU/M2phb6JJHsVVaoKjDkgC/THTPJzlsrlLzhevX3aX5mjzfnXNHLonVAudtnucB2aJoj2mA7N+1fuChzOxLMWx6G7WCTz/wbNr0kMeOGrGTPQkDvqX/PBZkG9q339SSS2mDl+0bIE75YlGYX7JPRh8DF5SKfi6Z6avJNTsBzQuNLsCaceW2m0aAvtrm3nJg1+ZOcC8pHqWoHDVX/1c3raKRdBhCSx2qqQoOphZ5mfL/enI1vQyk6dseoVCE5hxPYu4TXlLw5NmAW/DXTxj0lu62OLH4DvL+Wkfko9bZ09SS5q7+oSE/snBrStHucjZHwLN55fLy3HEM//bliYpz9NtT0jU1PE4OeMLBnP3aMszVhyrKZ8ZuS+NiB+ZZyLu4r7WWefjp1hTB55FTbqmYdv53TbMriyaR9ZJkZtWctxHpUC9087rLaVVaR9nYXM+6vdd2tpjeV8qaIFbIUonE5f2nRXbvV+WqtNQqrC2zljTlCdURPFfAhratQTtq0BTM0c70SgLtcWW+hRzPxzx8f31We7IuawNzAXwzOdM4JQHkZYvnJwf40mqvOZe3WkxTMrQlK0Dn1vgqQlSZNX1zViqPuFVH4OpdvclhfOA7/Jg+zbL4XPMIuZCbX9pLSobmPPDyspg4EepQO4qBPqwqUODV4D0E6kocHYoAJkwRj6AjIeQPmznLifXs2YAeCY3d3z1HKh81g7kzYiPikoTgRcLt6zzAgodYN1qVzfq7tv+7BsQ6ZOpcm36GpURTeLJ1BqrS1pYWmS4f5xBZ2RiDfkhCC73QEQ8JU0/ekVUW/0z3Vp93KM8ht9Qhf+07HGvR+rSf90zosRk04WKJFcKTCE2vmXdzplNCDoT5T4IcdKi0+SHf47dMbFs6eCuM197024a89MXddmnWz5UPS37uG1Crg9UM+LX2BT61dUp2cYFbnCbQCTU1ynt+a2zp5XbgwN8EF2fW+vkuY8u+saalQnhHRpzlnG2q0HOoY7/Vha4gIz2V9n/SPb6dRUtyEV8Ym157iN7RboCtthTe5U8SoUvuwPdjXp/bn5bo8b0cTO1J4IBOiWSEWIZnNhJbBTw2pRupZg/Tuwy8+Mo0kAw366bmLHV7J07vYPp3ns1puL6A5xgzHeeqaFzQJSdFfnIOwcOu5LsCvUsCe9+EybVcySC7f0CrvWcuVCf7ZDX1pICxh5QqmO9ykWHrp0JuQOvasscYB9Zf7XSILe9c/HuArsG70QXkEFsA66iv97tcs3syLAx8QZD08ZvM56kU+pSzOMrs+KP6moFjdWnWcGpbZcDgwZmTTWXZD8idnmStrkb/1bfCqfoF/DDKldUSpdsUtMKDeRkf7WCFnH9LgSsSu31mXC6J7ac8sN8UeDUc8YM0dbJDtGHAu4y2ZSXwpbZ1VAvbybo4IoUESuaveg4tZROH3/O4lmCtZshBbQhM1fJgwpTFIRMcuEzNibNMtZMAB/iTORMhCvDQzBtUh59ib/aj9V46l5Uj/QXMEOEReCL0QM//7jtcQfVjMfBLs/qs3n9eSYB+61JJ53cthUAu9A1DnZxpk/QLT2x9g/czlL9r5X4CnGcLoQda4IIFrZ1HhyV3WsgfzcPU5qmZlv/7rE0dgqfmoOtRfzf1eOlehdyavhLgemHqF9jN//UosaeCDO3IBqIl0wcRlnfpTBBF5ILF1NG9PDZCPUxfRLXqS/Vbv537ZB+85saYCg15wrJUuIA2x0KuOoDYHoGvYMxtlubbyez/l2Mb5UX71uw/7+cu3rFwjjKNdieLH3OI5WZP3pqg9FRvORioNImaTZrfvPq/c0TG+4ZnZo95cbifXLU5a2CUwP7Aq+/W1m2pQgy5BmIjIF+mVk7O1ZhzPZZitrDYzmqcbGAch+9uzzPlCfiiBXgv4yhYambuPrOXJ8LMAq9rSY+MccmAOSFspjzfXoEXB0xJqLqWSgfdc0cBb2CGAy+QxbSjevpR/AJEf3vwVfNs1KZHzbG2USGd2SdIXanwcrbi13mbaz7GAR9j4CFt1nyuJ+vmsS5Z0lAmWE8z5OWxjnrweZ92FU6dCFQuGGhjoVMyXB50bPeykKZ3LYw8T0pnfkKuW8CfuTBfErb6rzMw+9rmMg/IQlgL8xrGI5wgL/kf1bAxd/9SYGEbWOQI+WXTrMBpDC8NzLvKISUHj0UiBDmkZRUFxkccgWd6mvuZ57B5wHx0YW6+uHcDunAvCy5Y8FjksP2SmnxQre/gNz8al19khwQdJmAa/8BBnQTju9yZF7bKktvtpna0kznbrNYKplm5cgffkt184Ba+sN47kWF+nTOfq3B7zQO5a0IdNdQ/EgRcJhT4+vn3vK8IfvdPRRoqYe4+Qux154BUNNhGgh+WM1UXc8amKfwuH80Z4eTJ0ZTB/IUcHfeJk7x6wzkp6KUY4r3p1VQxRTjMhmZQK7Cem7P2qynMmVE0poXvyiCx6eoTZX4WkrCCnIBHn5c9+E/EV5jjCzF92taYJzTbcE7KclR/PVvZqmPgFdOT3q9dWVArPnJnSfCXWacnAxn5nYM2iSDOQEeOIso8NcoF/KO5B2B0ZZP1rVshdKpDU8NPinSvcuZ4uQywhrn1ur+8gVwTMtROCnK2qVsAzyRroWltJw7w2DHry0fFUVfa6NEwL66ob9Yf6Jkt6KzJhiDinMfsenLjEDz0yvbto+kUbpx+Vc/57eRe/nrE5yP/qgvIoVbcYgo6tarDeQSGLnCoxliokQ9VIJ3ya2s3FJt8+dV0BDUsls0I+sGmOzA4ScKHXQ0tIhD7Z+STM4NcHmDIU+R1j2OB593D/AurAndVYG7dt+CYphV8ADuDr6nZvOGWteGirZoOOebeVY38J2e2r8DfQW7+adbkKp22y4FdGvD30pb7HIQj6zXOBvXa/4rM3QMSaA75jzNQXRL5TmX6JDvS9PH6yITupNDtae0X1V9MbWt41nIj13YgHZ+AV2LIsW3NpxUP/AM0wEvDKeYB31DLWvHKjy+/nDB8OtotVY4EvwhecDhsZGBYhQ8MmXXkxj7zy9303ju5nw8ugM+izBXAynnw7mIL8i18Lnh4kj3nHuLgAfivK9MHiqoPMcr0jwHseOC83VVOG1Uanc4wt0Cbd7UzTXXPc8FVxIt/NqfowvaaYgT+G7WxLMCrBW3KCi4bJN9kpCh3gBP2nCk3AI0kJxHFH03w13PhQiCW+NBck3Ba5TClRKOerzwBH4qE2EIOIQJyMBd7EmZOvGlgfsI8/M4Z3lFOUFL0rgRmJ2Obi7206xW0Zi89jhQ5c9NzRb7Os91B2C8JlcfSWqJ8xb9rU8nq4zT4vWtn7mvgbDwspvZn7fpV/vUOHritMhqblr63qoizPNgulTkL2HuQjzlwve5qsy/+nI9sQH91Het9m5wsZGoheGZtAnjlo+GSYYgoo7UJulyPLvmQPR+lBUwfxpUYp9t5r3/qr5vTWP21Eu0uiYAPe1WY+2Zy8Lxy8KokJN/1Kv/OYuVFtpZ2m1LNn0TwsgFhyYS3lJAwWTHtE/dzkyJ8/L33tv/0sCsHzHWpBu/EC7+sLH1XNhrKr/dHYy2bM5U5DRVEIgb9lT+ntfm72564pgc97ygjLsT4Va79nel/97xr7nmgvliBBaF+hm19LSk/gNfscluPxJLEeDYG/1eM8TcZ1YRds66W3DmYdvDJkGv+WaWjX7rBsaMvJGJ2Y80JzBKRBjFhbkzqwLCK/sYrMb3+KOR3ziEvqRXtuNWWkEtApf1jtfqgDdmT29NDaF2ScUIUmLvk6ga/93HW8auOGTm62GdaHUvHm1Q0dcAw+1wso7QnH3J/nJhaI+J/56Gi6SFZY9UWHkHLfT5yJvdkgvgyNeh74MU2FRiSKAEvuw3NXYqM9q91Gz8bcVUxe6WD/EncNgaeAu/tR6znkAz9H2nqlzpTTvrP58mBzyuCB8yBTaLLRfLpB+fgdcw+xJ5UBPSKWCTO9+jtbDjYgjyiXzVa5y+ykjdaTCkPs2tuzZAf5rtyZlsNc55b2K5ZYimBPd6B5xhbiAovEF3cwVg88CDhvfgbKlTB93JHxXY8WZPFGJpA83xmxz7V8euOqi9dP6yAm8CPnFI2TxUHbXRNP4eJ5jDHuItP4L1wvY9bBlpr1sHP4QTet7dyC8mKzVZWkASGc1+Hs0ecwzMZTG3cw1MW7YP229ec34mAORB3rRwvNvz8gS1TBxBI1MHmLC/kjBjlhR/iHiH4mxhb7FkzYDs2fVRsa/auH2wke9rDnOlbWebzWFn42ugJK4hS0PxXXi7SoHlkWp5qF8XASM8aZkXWL0sttqfGRaZXHORu8F0R6eTeb6vQsOuygN8Pk1W1tNO9suz/nbO8WAmfQgk0buZfZV286r96RHvwnEJ1JCaB59QCvPvX/FZ3SAObg8/MrublVGsPGQm9KeTbdbBM1EocxZtNIlCfFMrJ1t47R7LNisOSFliyTt1rlx+xq74TFL/OYh0Jm1lmWU/wXIavj+BCU/BAkQi3exxM0TkInnm/PCuKqqYAVR3krXR90yvxmjsLB46+AWtVKfp0FOLgnQn4TelR4HvufN4x277815eIJJXmbRTSMufqKfNG0/uIhZkHwnUBn7zjvHeTVSdklfzMD5tkTZ6EtzSh/ZP1cQ4+jeZI/56Lp+CpVbjNMnMVccCoGdHrHOxJsoUSq/1iQ8t/e2IIVIJGHCQnX9SeWGXqkXbBNVnJkorHRoV4n3H1zJxyA2OTpyJbZFCueWDH533p1QJPlWNyXemW5rxE+OqDMFd5f7FyMaPktzYEnkyvp3Pg7cHz5QrYI7eBdqi+cchrabCUjTBn2GFsA14oC+3Opk5ShM3csEgP8yVCi3LJofqtbRr/SN6+1lLexEg6xU0PrBLyW3vBPf/gkH3TfcskjBm1L2sllJuKxCrH0hbo3wZbqjut2QZyzymxD6vcbT9Oz22Q0vYnMfVcQ83qIPaa3buDh9trHu4UQj3wDfh94OfAfuahvmU9X4CbQYsgTyMZUmv+Br9xoiieVRA/IOdeCCM5ePk3aqkCQP67FsSq9eTUEXNK8Pjn4eYl4C/kf/tEKegh6BSnpm5ZtspnFWxTNnJHhMbzqryJUAu+/qLCuAUefgjOvxse0999Pj5BSMQTNWsg1sato0/rHB48pZsnpfBdYby5IK81IlwFWOQjvtc9waAPlBZIEDZJHsFzCJg3ghxY1zxPK7Kww9/A311BXyFWJ1NPz4Xcy/IhBp80A0dMrz7iZdPLH9PbALzY6w54YJ4T2LioBsWzAfKjm1wzyOHH5zyYnhigC7QJJnZymw0wX06si6lju2Eu6tgYP8EbR2kIegmeCBj/JGAOUae1EtE+VOA9Gge9POw1jeQN99vvxtkuwFhAS5BKIA+QrjRn9UXF8R1YdzoLO6ndqQRPcZPaZ+AR+9pBDGjCx5Z9EF/vHg34yiA3YxdZpcvcureHk4veXhx13m0TyDV2aW1/uDUPJxtn4NF/sg7ZzJwnd9s9Y0sBfj/LQ2lltvqAPDACL+0YPZj9IkJG4LiRfPMAeGPfrr/9Rg1XjcSB/Ppac/DwAAzQY1mFxIZ3+wX5Enh7vtCIPyjDMeuIlewDtxJLXkdqwcH7hoA+ZC5hZv+T9njCqzop1/TLahZgc0L7/gnz6FL+9shdXuej7BxiqCrUDtvTvQoe1jlYDhzFOO9xWtvZhiIilamDBL4UPCTmq2/6qDLgXAbvJIPnSai1fQPkt0VIorwgD/K8PfLBPiqkYc6i1/netuoDU7vogdfGPTNS8WHu2D4B7SY5g7htdjPkMuUm2h+aji0iBP0J0Q1y+2LqYUOsHcuBAPf5wHtsbaztIQljlnFfgsb9csr/PospZ5krFFuVBh0tdCQEOoD3B9ZszftvId/PDSM6o82jdrYz65c0sbaRqQeLhR4SmK/l09RdwUPVc9M05o3yaakKOSeQ1yHH/u351oMiOMIRkDnEivJLh3vc8u6Ngwvax+C5P61ysAOJSN4EJCnXf/B+loSI7abs46qJyHze+xL3xMpXeOHh9g7vdF9S8MICdLSf/7i3YvKAnW1gbk2AH11BY5fKwbdqjUFn8DMvkgV07C1HyqLU/+YMjaUFuVEjDDoPf1f6WNg4CdQEBBk0zDY85dZhu6eW+b7za828ygoJurtQxpWfF3jPVyXIiANsLTFx+UnawQM4ETU9Nne+bUzN7jSeidBTMvpF3pFUATZJMceZy3Ud2pDT9ZExCT7h05Lcf509sHLI/WkRe2n0eRcDWypgDcWlVnZpc9OrKmQLHpalEqYuQDxL8Ha4+LeIwPNNQdMa8RDyiswhfhurTVjAzVr+15nrKNOZB2bmNTeuGbCf2Uuri9j4AQw+WCQc/3DgKgDJQw5um3E+ljoua/tyNT0gOVsiZX3amTWV4MNdmIf2EThGmr6KFBc1cIoctIBn+FbM+9+66M2c43FMLzGYV6fzyK18eF9K5/ao1gByOulI2BpNjmqnv5oFRcgXTzYmj9w2dTT7BTybm/HMxXvig98eWOClMgQ/1M8Rp/EH2f/VdOogZ1fKUZqsmX0e0ReMr1cyD8OfOVLwL5jHYR0hT/STkPBMpiez2m1TXMSXtAAeErYADZwS3X7JYenxyJ7gW3hWgKehkOWCv/6VTuZgQsNPhwXMUr2kmY3oOdgez5F6EKZd3qOYDyRlzPMTXi68x08VEbOmtOSR/9EUvp0zQkyNTeqqC7fiLHNslnftSF1/EFH/Gi9JzD2OVXkNzJ/fu0oCRVXkT1J4NuTKb8ib3cl6t9Rq7mb4trIOD1M7QLEFWNPypNYedaZnvvIPJm6bk+2/NX2y0NWvYD7D9/yrt+xIV/qckqVmGGIUOGBApWSfDxUlT+W2M1vh/XEZZxZ+gB8+1Q754mt8yZnXE86cs5AVjGEouFoqrRcKnp47c3EGP/1/62x/5xwejMcLMFiLeRubqrkwQqYW3I3v1VuKpovpqUqcueQw5uYMTR0gXqF+AyzzqAr+JuF5Kv3POloLp8CNfFBxgtQCPHGtGN/jXr90gzFH55nQGz4qiUPwCghBvsQQC+/AsBMjRQvQnFgJeK7G5j8M/D3dzUPGCMQa9hKIKjXYv38VvN6pQXIy9XZBg3r6dbNphF4c1cJ8mmUXY1G0SzKWVwVKerTVV9XHbta1plqWdXT1QLT+zvf/zNl4Jw3lIQ/aDWXby8nZXFPaeAyxa2kjiUcMscoxeLW3xpJFGvGXbvzWdga9ZTmzg4SRuznPl9HYq3lin9x4xQj7qdjmmT39gKa2ieCmjuqtcnhWD8stcTZPbKHvfNAxF/1Cv4AVXb/jwG0y1Ok5/Dv7PeLd1kmDtj+t2k1NH+aidUH3ST5IJ1+Vk0R8THlM5DhFwLqB6WMnNfHKQfYs0lh1PMj4VAgKOiBM7UAtSKfhXR3M3WYOYyZfupGZNfLCRzhcwJPqiECMlIVqzfmbk6M+Mie2Mifw+F5PciWmF4vVdLENz4mYWO7Ad9+NBQ7WBX+3lxrmmNVw4okBcmrnD6e1fen8rQpm8I74o0bab5xYC7YNgW/h+XFb2wfgQkLqvr+y6OKWVnsCD+OUzufKemxzl+hyCCC2gU/3xuHBd9coJAKFph6OhM8BvXntIbYnF9vAOnM14EGNJDd9Rpt9fIPPPTE3fqjn9qtkOJKr8qntH2otSePynRCPR96Zu8ioqnl8qwqcV0F7qR1+VFFMMxfBuBJx/v8YADzGPnN9swaZNHt/XzpkA7z4Brz4rKPpSve91ax+nu/JgjmKUoZCRSGP2ZDJmSeBT4ocHUx/zF0DLo53xC15b6cUiZPTPyEHvxgbkUCj2kZYDLPExnsDf4hiurECd5kdR+YMr2BqzC3NqWhNT+djtUelGXPQtA44oSdUpszSN+kihEcyl7Z8cPAypauvoEmvnkGWGLax2pOkEradaX7KtTqBj3LIwBdgs5UP+iqCxK4Geyo7buqHrHRYbPV7b4EIHBycM0cHEti+tLjfdJ/Az+1Hpv0PNVwsso9fPO/jQPoCvs0ZOAJ+0wH+3EkX9HiMgfFnBjq3z80acs9vcl/aTCQPPiAf+LHLi8ktte4oOGvwyaYnhanOqOF9DsrUqR2WlPF/rzPtX9UQw+8Tc+axy4bpcDbnuvcSQ+zHbI9NTzWXBuBnRvCV/N8ibbJJRm6TESV4lEmDDi4NJ+BuHoAfdtRwuAOrW1x/3tN8K8qx/9sLAA2cmgJckitTOeAWmx6TDqKQh+8p04iI94WCV2V9eS8tj5VsftYWXkFmVoj7NBtIX0E6okx64J+CzDI9zU3dDv5VMXO2dvtaIyqpwKzeH9bya2tqGgPfvwOHfd7B87bwDng5Tg4L41LsAw8Xlw3EmVNbW57vgwXm3Q4YYsXgpUqK8uPqP+kOft+Wgnflg+41kX3zmvO9ouX1tKqoppJXAriToUuF9K+08FC/MZcvCSW04rJonI0Dfl2cQ7JLBMG0R7zUKJA2zL8B4jbf7nNT72OMTc06Uy8zAjb/i2XuqqF2474Jl+is42PJTF8g3eIBPExB3liwfJj+r2TvW7lO7iLyrzUYBfiOXplvKe7Qw/Q8Ak19Ag8uzNZtNRBJ9gDKTosI169zyzS3CLCj6fWnchLE9zzMvMwBXXdQUlvxXNvaUhq/HR0bdN47JdTUv80eVEjIw/JIGXgs7v9g5O+JmOd89KNz1/pyTcAXb/uTM71ySgb6/va7PgG8VeppZ2pUsb1f8pDZ4Mn3pgM8GfkVr3GHTX1eiw/pXvan57zIwGbJbvtWUXY/Wm17et7s/GsLnmIGd9Zf+W77A3mpe+1xlJQn/LktiDnzH9hPc4cHWO2HaG4R6o/ge2WD8FzTf3auERh7foX8TPLOrzKxeQBTj42Wb1lBZG3pB0ZkISb+95/G98zl6L/OmBXnAX1B3iYN11Xt2MDV6oNpCd7IO57Dmwv+Jk2KuAdvi4CNflKBcvAspzrYIsynHFjrCSZsB9zuQ4z5Vahs8F870ns75YAncoj72kOsIXP93504/KTu5JoaN1T7N87KR95vNtyWvXT1UgvwpZCramAEc2ecj21vzjvRQiamfrDqmvvRmZdSLA9SyG9p1oGe2yXdf75043ccQaes3NSI7Nqvc4hL0qFMjdJp3P+7X1SDt0qc6ZsO3lvV3555aPpIxcCxJE566dUQ05STK/DCvrbbB7YOz6pACS9aG4vL6/zGCnwqgK/upu+4oNjkke+kMOfK2w86/m///2u7y8QcZlr7Zw4Z2G2d0rKfYphW8LhZanpKalzCz00B6A0eSFwj8kh38xunL+69barAbrPhca/F40n7EqiJlxhyCYlicYZxlXv1UGK+N9YC7OTFNY0vmbgtxJmc89ecVC55lv+3B5mbWs6UAnmBtJm6l2T1P0wPqZfXAy4ogZ3AU8YkF4GT5/OYUf9qzjZR1/QPkzEwArj+bV4VmpDn7DLLjs2d5eOKN0c3jjJ436ZGSkVN3+stjC3+SnTgVDxOK/23vrFXgf0FucpNheVmoBtVuPXFbvudrOZePk9rdoNYCSC/kp10DnfghZbq+A3y9AB+yU1Q3BLQeeyaevzYgXH9YjDnK1QupJ8+avdvHfuNFi1kiBh0BTh39XulY1fQdq64P9T7zAbmnnKui4wtQUZxBnyjE+fTJVGzod0/Tw78G7x+qEaVmj7gR4c/zD3iKkxW07cbQ078O1cZqivwxQ94Xko42dR960nL3M2bRtwlz9ydtAhwwSPdA2E8KmtiwHTAmuBXgBNNfxhplxsgDbtekbmnkpxRy6X9eSchmmobv97hiTlLBZ40BE4NSmuOgYsWc2azZHrHETyTgFhw7Aj8S5iJBYF3iPHQu+Y+POQu4Llt0rDGYmNgn4XHWYC8fI0dyEdPXmAPB9brTKAH+vk051MrxHEa4acQS6FC9MaA5+vA1P7nYVnEBfytpebTDg84BYraAbMigmSfF2iGfBbXttxBPEwN84gKW6os2TL3YJHib00vhtTL4VlOTaFvydjShPuE97GgI/IS/gn8beqBeC2PyCPpmmfZwecWl5XuIS+D9xfGtw7wfsSS4rUl0vS0jqZTo0GxdfkAL/zyKQFbM4ta5QZYN6j6/i7AkGUFuit2MHuLmRKmHuVjA1QL2r4dqlHlebAlkH9mwv1JcTWo4AJE28K/a+D74Nnc3xF7NEPO3ODdvP7NeRqfuJh05cq3xpUZ7duuhlyNgZWqSB54p9KjNT2ZkMBRwLFI7bjz/qyoL0QkNQSgjaPsToc2k19zVI6Xe17oKN2rQx4eNjxYXnVFvmQkQ/AuEMcHz/T5ICuyIYZj0klSm56R41SmAr8lQ5vLXo9H8BpiL2+mpwdw5CWzphy82bWmptYvcpVWIBAzhInpd4hi2v3V8BfNAJpqeVMdcXOfppUR5iTyPWCQ9eiiDDjZosPmerL1wdwHzoFd0shf6ue7Q0JvlOPBxmP8URekzdx4Nu88DaZNyRL3TGV2DqfXPCTAICljyPS7N3ft/ISjAJg7zyBhEqNzzvIBsfQkorV5gW7ZGpfgHWbz7xMR80aYGlhLW60KVTC/U9AL1c+ZHNFVmrXa8a9Oe587esjpYcnDeZTuP1MX7J7ZpQ3jJVURC9Mzjw5TRcAflStOTiuzwI/0dS/9fJU95qYvxrwT6Hct4GZyT6WJFmJjHx3vUfK/XkhvwLugWSSsbb9kuy1444vdFP2z5L/1TI44/D0XkGeWBgYhoJly5GOwYqpEU/jgC/+5cuW5tLGsXH+BmNrUnbk3irDsP+00XF7no6x6H1MaBs/SKe+YcsiRk8vo77k+pwJHptbeSpHWqZBB5nj3TOijuV9dRVrKaIqUkJnUl2u1772T4/3W98XBtgP28Wrt/+S7+dWfaDW9PrClGO0vVxoyhyHfghA7gIVapaXGjG0/1PoPPNV0oNzfV0g55ddcgkeK4Z3BZ/oLeBfBBDJnYizKDzA/t6ZrOm8Q30N+/+vLWXW8KG09yNArTO8rYBFz3+BahTY/Rz3Mv8kytV0gbx1V/n7lEW9ryp1mnL6l7Y/YrOI5bAHFSukwt+Arkt96RN2/FVx0Sv7jKIQ7ycXef0rICZDnJ1N/PgmXZ7NXkDseT+CxJw0SSxX4WdI4r9icHy37cbQ2NrBIkKym/8/SUXpwzfkDYCzO++1GROUdNHLBI3/N+QMJF68KsjvwI7AtzPFxSk82OVUdJjlimwrmQTlma+bi6by7gXdAWTLEhannDJq2gCbFedhWBDw51VwqkayKt+W5j4H/9Gx6dr3m4Vn7pHJ13qyxL+2DZXwjeHINXFipInHBE3R55DsS5o4y8wc4JOGypDAPEmtxTq4uTys/nmEw5XNrJwKNOceu7EC/wN82/537YoTGu8pSLQ/IkYdb0PnJzYCTKPifo9uKCn161di6Qsf344quJeQ50W/djJcm/8y8n1vRo0tJM+u4HtYz8PlZTDD/lQv5hYshe+1X3jnYxzObEYzLlK/KToOFngN+T6k8ZSu2QKe/mz1z6o6gsvA/stH0A9NFHbUsX0urHs35ooOdAmuZu2HYwR3T8aF21QzvaGiC5XUvwEq+tizpvYvpe1paKOKR/DiCz5KFP5l+6ODdH8x5WCmTNl91n1I1ncP3R9l7AaP/NtQ9rGqY+7JDXma3X02IdUNNHxnwcMx+ZO7rzuPNg7h8A+3BxHhz4A4e+WHTL+ZOsFfBXKhBf88d+siptJrfuUg8WkwZCQPnuOrc1GuBv9GDJ/thYnbMXivw8PTLbNR3qVaveSiUxSwJGi/YUiV9O9PBejBLVymbBhrFl4ppc8cZMpf0VKCts0BrzUGnunhfBdNUifgK8+JkfByxEKnM2VQ0hY2z3Sf2NGX/9eTCwDB2iiAH7VHGGYZxxzpnZv8QFzCOXd7jD9CKDz5iXFvyLTfrV258g+/2xjX4PiAi+L2Vg5c3HrnRn9cElDuhpgYT+PG/tcrbei7geR3Sgye6SapPjHHAmTiAPLOpWOznhb9IK35kbAZx3nIa8B5yT5e7+p7p6U0WelVM+dWA/axfBO38A3D7DrzxKRF2WI1/9aN+6r73wIjv4Dvu4Vku1FoE5OGKI2CGAHSUIlRbsy0L/NEg9avvoCFjQ+UM1Lg7OXyXdw08ifyqBIyr2/J6368k+rec863pXPpaB+C5PlwJu9y5C69eJ1blKN2siDF2cVM+PUURf1QdeUIMV/WAPtTgIWLNRcn9A36+P87B5CTPGfIQSlQAuc55vzZM/6Tw7mhEVjq8v9jm2lCFSgddVdd7YpxEUjQb0LrV1O0RY5uUVnyqmFqkowVly0n1sstX7jUco1qXT7Uv4fcuT+BQKxHcVG6/14P6rgpu4b1ZE/urV2kloe3npk8Iw2bvlqYMEdAZsKXNgoMFE/CoHKEd7lQlbYJypzXr0aZuoifEDJ5VlqUdB5lrzmTDVBOEZx0SoBEFdtqqtP5qEQBv+xY33aSBd+rQ21S7La6s7IqBubD7CczJnZo3azl4Hnge0/v7mQzEOq3kSTRb+XMe4LN3OLCPKuSL0f6Ggu973ixq+20Cn/+KZSawrSh43ec2S9xpagT6Lrlp3BxPGecHzltBBFrM/gdlwCQ09lkvwZ/z53nPT2XnD7zQMWhxmAbbD2mjmPeSZwwvQkynfFhea5Up2ce72uxZOPpiavJSs07IZKXstgM2e3Bnm/FQ+ZmA/3qIQyY5cJ9PA/SoTdcK2j5VJ49mv13BvMiE9w3fBbSUf1XgvZVL/s4SU9BoYLErL/rN7727fJsCwz8p9c06wyYP4wh+l6dIbmTnn8ga93KQLOn0bM57NyvwYNF6p+ftrvJtnrgkI3t5lxyd4P+XkH9eHGV0jzPNS957MXPsETzJJbdMTzRNK8pjUvA5WcGfm/qwwo4bq+UkJA/s8O9q37hVNEGU/Hsk/ed6Wlssd+8edjyd9/Gzdn3RsMNfjfEEqYcQXlhFShOj39zvlPAKGprr5jKsuZ5hjG9p8GmpIR65i1LJDlc5XixZIEIida2Yp1nQbkpXeQyYjq7BWq1kk2udQP7969UCfHSv+6nCoRdVAQlxaF/Z2uqc8j3kEJqj6af67fl4ALYmPGEeO1nbWX6BB9/jgQ/JFfiOMptbwuwad7hsTOWGcHlI8FRiN7/O20y5zU/nwm+Bm7/zfAveqk3BZ0rSfd4bK/49+wEaBvodnxLQNvAaNHkCT31tryIH5lsbUx9xp3r+Jcbsfkb+lwKuKce2E0FpN//VufVyB3PwrJxaLWt69pDM+wGyuxMX2EpPd5inHWiiqTXtJ72C9HlwThbOQROP3Lo4vL9BTJFn3etNqfGeFv88DHMPR+0HD+cjoeivX4CIph/w7gN4yy+uY4v16J593Szw/Lvc5aaOcJc9t0E2tsB8nx6MPcxNZJtedGpVfe1OwxF08eRsd4yb2sUbG+Z6q2y+SSxb8/CvJuETPDfkQMzOITBHFPuNNZk+paTseAJaMZNxioloHPj7BWjC0Whtzt49YKIQItbOg+kCutHJEEdJqH3u6A85lm7KFirC+XQO5pfXI7W5z46yR8ZJTixT4970ztZcAIOUa2zuIvc4kghDrCZUtznjd2rjHsLhqgqwlUK7tdhWaQTzaMQfmW26Vqke5/MA+SGD9/O6d/Ndw/M2YXDPOh6bfjHgz214nqQupl0dzktOcQhz0QEucuUYDxUtn+luu5PDRKuuPZgzWDI0+6XIrszdDZvEZ9aGNbPfiJU8FfP+V+vj9qxGn54RflPMZvRrO6Z7nPIwXrDLN5WDDpVphiGkI8za6m4GvrP3mcuBhSd8sn1+FooTK74Cb7WKgv+iWueWl7Ke6Jy3BOLodXdpB1wJPIrAz8hLwjaP86BMv70No74H73VJ+cX0TrFgrK7wrqaKoaIK5LdayQHyNkiR/92YGnNf84S14vg3bxzWsvh0mj54ZJDvX2f1y16DZ9W7zEZH6mwv0tq2FUJv5k4azBnrXGiXBoTRYJrzITbslkLWWJQT55AjwP21PA9kXgVsySAjEGfJGz6RJlx4w7mX0j+OAr/r8WYvK8hzEwWsqcRWZM62BK4s80g5TTG1tVBlolGphm3RFFLgAr3R/tM5R/5Qdq1MqX8DpnmDd1GWIzmcGXEwMv0E4qLmf3wYAWuafkMcfG/PrZjQ3vOB9b7PhTqI0f+ph/amaG8dnc9VhQ8H+MOqhFm7A1bcmxtR5EZDXmILVYDJo7K4r77ejX+yVIR8NZR/56OSEYhg9Iesk2/Yer9zYFhifd4ZbXUVPu58zyyazzwVh7UJ0HfV+RmBOIO4bzPQcXh+O1nNnZIA8giMhQOs/NxCngXf5ti3JPzbrwROOjxFqFrcTzeI55Tbfi9RuZSrpLkzb0gfeEmY2QlvC7bqXTPYCeRVGCu2JqYv5D5wgENIHlge2KKqEdOgTJ8JZ1lVFFxBAV8cdQCNWqVGWkR6JOLzLpEPTKjfEpffAXMYHral2HPgizgCSgJ/r9u6wwPERqHC8n5m8Rfwgy2CtjoX5RP8+gAx95Z1nxsYi5xF/mtfrwUmNvtJJQ/N/fE5PiPeAY8F59BDUswI2P8hXZ8mEFc1PPHRAt/tojEx9b7MPRrdLHQAr9GhrNkfFsG02YOkjVBLM+gT8H3xx6KB8YktxsDmZNQuaPXzzHFRU+YAXX2ITn1Ll6e4V0NTcCcbgdvEY20KRRnTYYJKy9zPTeD71qHitcsvTNjge9REB1kC27xqOiXKnna0iG9GN+DZNlRMcWYRcHnvzhk8UA7xX/fzB8RoV5p69Ay1Wc+A1wgCH3TldjzCs+zNfVtu+sbBHFf77F4bPSmCTU3/7ptf0gI9zmiqpAXxYvoyjhNNBvyVR59XKeIL+J8E3iESxcU2e0Jp8NiwYDLnWTUN5htzwUeGZMjF50OFrd+M/9YmVE94h8CReMPd1z2OOSthfuJQn3h4sykwzAmcOetjeC47Po+lRYo4kXt0OOfgjzjwBcR1hXxWMm6Db+iIJb8a1/8QAT7lCM+m92c1zJ0Q6FqPjVW7f+vYCMY5zCGGcyu7g0ezahq/qTA2eyqW4Ap4Csc59TVdgQmddocLf+Q2jBPECeQ78Oz+oXEeMMYgCUFcZcDxzRAsjXMwdX4c+l+vZwu09ocGtoXBFcoOTUn+/sTPOTh3qiPc91moChgIBprjJZE099XTSvfw3v1vGNMn+OYfKQCOwYsRJD/yXo6VfbFrZ7o1K96ocHrVuV2BLUydJFMLMoCcfWNcMVbIn7NW8LdjH3SG5Y4F/kp7CrVJHdhLjcgl3c0BMWcNIgK5Gols9VvgqpaOal9HDHyLZakRmMHhL93Qkm1TOpq+JTAXOmbjfPvDxsv9aLr1uCjJOp3WwHG04OTokB9z9kaEmiQcTYRPnAs7An1hQmxvecQlsIYnerQSjSHo8JUL/cpfOentn7wgtxyRORUqA2/gNc6CqnAb1j3/JoI/mcNnjHgiGL+KPo7knn8Ql/jN6oOvRLFicuUUAa/bAvT3rQpiv7LUpgmmtB7k687jhYbbe27HUTLiCY8H54wYjAWEosUz7Khn/Zz/b81hz2WuJcRXcj/33ltptXEjNCZR65GelMyd0iaCD+v5vnEuFt3/s8rBrG7q1zx8a/rbQwVbAnmQS/b+oMPEz8W/68m+eMRuNZC3LgsyM5cAV2wjyksPcpSHTU0rmnksLIGn40ujg6dcwVXY2K+AY3n4uWTwvBg04qUb2UpsIrYO6bcHHm4RdeUtG9SxYWjICr1nbgKcuX1ylx+qPZ8lb29iICY/jfCX+qpXrBqWUu3eV+CAbybUjolsafp2BPr65p3/P42CZ7IJqwLuHR3bEpFPq8LUgZYWsAApC1PXCWKAlTZ3M0ewuSfUJwl7rODHyqxHx5KhowzKRxX5MXX5Bw31R4VwrJCMQMP2bPzrvzxLp4ffsywyICEh/9M1eybRxNTAy/PXtlMOsVTBrmokZeI2V2HqHTC5q1yZpIJ5tbVFxn/LDgvw5ugcgPez0QG819BYcpPs5td9hwEzU7EjDiTw/vlr/irHz7sqPt0k9IoGTW9M8J+6U1+NzVnlvNsKAZPt0Qa4eqVOuWRd85D9zby/VtLePVnvD7nGSRL5bwnFOI/Kv3UAioDNrYMHof+taHxQOtvUq5L5XlUUPPoJ8gDkwoHvtSPgP/BFP4Yh4P05ifDAB3n7k8VR8zW75rNgru+oqzTozsfRLb3Tyl/1vjY4vz0hJvqEtSfIA6ds2H6Ab7mofr6besiZiz54b2oHfDpVoAVxpzIzdbJdtK/YPCnqn2ggh2yYdbaanozmHuNya4x/AU1J+uWVU1LeN1fuzPq4yksu2rJc9TEr4jfglTvk0Gtig+8EnQNT5oBOjbndWw3TC4n82+96xvrvCvNxEaP2ZWhZydovePR1zREGsFrpoP7WzFNTLyKa/N9a90MPsTqV1NSbz+cE4uZUrUDUHJuc/pH09uW3Z3sxuWk0YW4tofFMiYVpWpSPo2PqL0534JOEgUqZ+tnYVpc/3WDzpQLdAK/3nVg38EhmrBIXh1sG+o14uASKK7OU8wTGGCnDGDT3kHQq/L0bmL9fK7HYiRP/kC6zSThl4HHHOmpvMsIhtf7uIOiT02w4+FjibBOlD2Yfzqs1iRNLToyqQpg6oDRw673/QYb2BPkYfl5eG9PHDHK32SuA9+CkoY7g8zKGfAzPDTHomf0Dp1r5ay8gp6zNQZ9atW8jzqSTcfbAawBsljywHZhejQfgjntumd6zB5uhfzZefQ1MCtkHHZRFwNu03ziAnB1KU6vpAPlgAK/1rDv2aIAhXvHFomlz3oHHGCdH5jfv3MUa3p25bhvyonkorl0JPysdu6rs6a2JGjBP2HSYO0itJOjkN4tIUo/gIQpExLCAhtnR714yl7oe/7209yOP5EyBi84BXxqB7HwsPcjLbQMac0aql66yRRQ/c/ey4jXepyIuIK6+VQHGrCMu8JDDuphk9sGFGOYl1xsaHK5N0Tz5CiwVzK+5cSqpYsSNNXiYjDrzCF+mTTnZlL2Cd2buycgJcsc95f5XsvoH0FngVOA5/ekJ3T+x6fkp5sL4MmnpLBXvVxr5C3PmidPsUVP5OuvoVf0M8xrUzImvwK/fKaAD1+pL7JGVUf+7FAh81zvkQcjdbLGA00wdnWsT4Au85zIrIP+L7cwKFNbO5Voylf9fz0KyObp8Bz7ypb1tXvi8ZsvlPFh2MpBDOQYuaNWPotKclMylYwOLyK+agg/v3zdNl1ylBr0sguXo/t+9RNklm5P1cGHO4Cqc31hv09r2UzF4t6poXz12WWZqWgAmgB7e8GCDL7eregXOdEy92f6Z57M4mzvnXXYHbwb6gwSMfV93sekfIOs+Bg1czB1fBxt+YOa8KXeUxtPRRhZb/+48SniWn2zU19qcBXbIKY8QPzrJI7eCRyJKj4NTgPdxl1a8Ax/gkh5diFkjZDM8h7yRSEoy2EQFj2tVEAm55lRHOE9G+aEifswc/brLuYPvhJipb4mwLwN5KyGvlhY/SeMPAkSlZepvEqqEvmGmrAbeeTlgcwayytjWzoaYmrtuicBRgrIFd2pMhpaX62HDih5msf6785jrSZBI3XGg9gw8O8wxi9r/zN5wDP5pBj/mCnP/4mtrc+5rVUwWe27DjOsvzlXFgvh47pKlpC2me/2t1v7KQ2uF99epfPYyhl93pdnZ9FaMegs7CIMfBL+4cU1cJiFOTq4yvu3b9Oarv+C/rgFf70P+ki2w64+pd646IJowW09245UCJ2TPUx7cPDoEG6n9EVT7tY79IDbPwHc6wHkdDtFO2eVa2+0F1N0xtYjFIBcpphysUCoRD37r8libtRHBwrTfAT/eMwsyAedZ3mNBkC/hGTVn2yAbZHcWr1w5F3JPBh5Mizm/WCMOWq5gbPtVMbwcV5ibvX0CZh/KEXx1sKCjzU3N1hF8d4yHWdaWfCiKJupkFo7QLPrZAw+GMOUj0eDnXf6KZYG5Ak7wBcyZtuKfwG4wR6ztKRGfVxbGGeg4zd3+eg7tVHSkUhrmp5Mtrx7KpanVGtqjDPkdU2JlIz9ynSymbmjOeJzY2WsNNlDBQpPof31N3csjZdZDRkD2Ip7Pe/6WB/q3rtRxxW9sxDnuJ1Q7LbBUa5dar9zyOjV4nuhAD4FjMMUl320DYm0xcMLE3b/aLDtFwfY78Ruz3jfmVsDR4RCf0wY0vSR246YFTlJGesieX1V4uZ6puRvy2JTCnszdcCbm9RzpqOlMfyK2YHOXcYirugdOYRIl4V9f6UkGoAU2wpBHd7WjT6Y2UU17UzftetakAi9rzjGNkPMfpn6ecvRBrZzBELHaiY02LAIsDPmae/AcbrMnfgXjgXnzTBF3lftXEz6o++WRmF5TK/hIbfZX/X2Sb8t8twXSlQ+ItzvE7K4c1FyL4H50pWXu7yfASbLgmITJykydXvvfQ3LwmBziXfemFoiGXLHJOvyq3Qd5lzzgZ2/V6meg1xje1YWMcSf75UsFGoH+QQS1bzUjO8jRDhHgRYLtFwd9pw7OVCADFuAq62M/YzG4BfUFDL1prMY9794tpv/OBF7FkN2ZJm2pp5J1/o1+vbvSvXhV0VwT57JUff9gAXjY8OAqjpLK2bai0HdTi6HpPS5G+GGvRIN0VfLyysw9zr5fa8ph/m9/zsPffb2ZDZARebwrO0mkExelgBAYianL8QF8tSYRegNreCMo/qDD9nFmcdk47UUVMTCTLbAAzQf2ryAnqcDUbJTmfukd7/vNeZy+cq1ea5V2voL/BteMTe2FPlhBH8Erx9ccIrws5P/6pNw28P1G6qJjFbZ2M8pdrf/ZCThsapNjtepLwwKI6catu+B55uWmXEmVWfEsOvU6e/B7jiQ3e8kh1tWoJORtGP8pPjmbNevhf/raBkc3uxLT66+PwzrkprfcYuqU1K6pGR/7ycoR+DDwCY2VmnM2rvzGoQwojxEN/nqbhkrEP+BhW4pgaAMbn7m5S6cI/JsncYCrgqmvQoS4rY5n0G1ZxEvu4lvlzDfqeEwFbZuEc67WWPPRR5kL3mMAXwtRzm2YseGrBtfNUaH93URqpauU+eB9JPm8EcPhwYUCglecFskV4pmkKKYVkqejy1zTUwKYZxYItbUD8RHoXYJQSTgyvVGeQE8THtSG7f859X+105+1C3wL309EbZeZfd9B0lRgDzutVD3Kee/5zUAeNWvsJuAh70xNcTmr8HbFWqbwuTK3WlMT5gMIuwU/8bt+mDIFgCJvNf987XG0fPCeKpTiZMvvrMdfslOsDi/AAMSjwBkpg3w3Kl6x9nDu2hhySMD36JnvM7M+1JnaEsBUe/p1u5bP7ek8An+vXNJwq3OhUCbaF284eRQ7wMc/4PXBF2h2RskqUHMtR0mIWcMKmZ0V4MfsVhJNesmlK5BGIiA3YvS+kKGkLbhueOaxtcrRd6rQ9NYmYdnhCXzVq49PllL2lCLzRKBDEiEPdPr3vl5tqxNm6CO3IH6RftAODbngCRX4C5s1rhVnSShvylq+6pCIM0s8ZuqPB+qtWXFH7QkDezyb4u8dpuluq4U5WdrbKOth3u35hltoBEJZMIoFg9hs9NTmIY8rdtjUFjpJO/ZZPtu5m2zyrgedQGXmtHNWkMPJkifBDAT+1tCOafFXw8RP9/+PqavrblRHtn+JD5PVfmwCAmMjB6EP0Bsgr2AQhNjExvz6W3IfZ+6ah5npczqxoar23lLVLv9g/EaYjTHoSZdbcp9HxIL4eiiq5uf9ClJVrac3wGu3ivUG+HhlnPFTy372veagOeA7j4BpH/n7n8vzLFN/PkBrdg1QhRffAD6QVNEf+Bn8gkX2gJzuqyB84PP8QfM/t5r/vRyc3e2w9taJ+98H27f52tyqFfXwZ/axAN7KQ5cL7Mjx8wI8gfCBfNMVsDbyHBHjV68+YEFrg+bcNIyjbCQF4NeSaTN7heM63DgQF3M2AJcP28L4cDYROlY6hDz/tGTst8+ZaJrYFCnj6ZeImG/ycCtoiAkIP3NO/TpbRsp4ahbkSkP7XkdmRxffQQ0yd0wW8FuZa9/sBWBV+Jxzo6loz/wxZ/B+iGL2t6DAgy1I8sfc1ciPM3M35XhCxuRbaGXn4fLyug8asXDgxsd6hJo0kImHfzyQRd+Vq49YbGlmya+aSU8Omwd8PylYA/k4VVCfwgo+Px55QLh8h9yUuU3u3JoOgBPHCvgjfmxRnV9fZykb7mLIrNbc+Wlut1rSdMkD9VH3hNGH8Xvg+ET/XmjPM1boe8bxoSnIgVky46HElU2ORE+V6pcHNR4B/3znTP/idBr4mIv+FYcrfK7LiU033F8flZnfsXlCbH2QqwZdra6ZLZkQ07OXGcf9AnUQdHebgObOzQ7Gin0Zbn/Lme6zDv2IDnAjau88nnLjMVxz/bqTOkitH5mzLU6isVU8BdkwA9K3D2Xh/cEtn3tAj8FuAc3mAme9AAA8JCUxvGPGHTQ3wP+lkDfgoFNudheIVuSmRgNy5r30Shd//3K20B4as2d81XM6AN47bS9AbzSOjdMCVwcnuTErs+mqv4HLmzPA+SRa4zHumhla0OgfOSJ3wrwjt2zg2M2NhXPL4q+FWhrw63cfvd04SYsHvZSF/5PHbCWRd2C98RuaL9mKfhpKUsDWe/PY2ifAuFR/LRJNRTqS77LfZnJMN4BpB9LxA16VEEEb1Z3sMp4MZMRHyO0XpqxVIZ2a4ltZlBdu4YqzdgM17kOxBMvnXV/LZbQUlS0PzRq6B4vTckC3akgAu/RSWTxKBd9ATW6zwh9rC8+1pWbpIrcpUMJ6/OLYBLT1O2eIpprf+TDdSzt9qAG+gJ1tIG4v+SrT3Lk/uEBfKSV3OkANtKXOHBIq68trLOQx3X6nlH+JCLSM6ceAHAKOi7jQdjbil9Ybc3P/Iaa+FBwdqe6ZY+fNiN64iw5HYS2Vy/eEJXsK6odaxJeUrfkgx8ZqHR6FF4w+7XRMkhz5A3BJzM9bfgq9M15BuzD+Xce/3mJ+FRkP7C9P5FvgYA383dZlfbNpUHLmTNkHh2jWQd3j7ZSPKjyN7QC1+qOJdH/qMVRgf5daSYGNtx2bbxloOTlk8G6l1Vh/3NPgvc4BRkkRycz5um6vhPN32qkNjtU36RnUD3lOqdmx40e8Tw40Zg/A69F4nrACYgG1Iem3b1WRdKVNPNbhMhfeoxkS0TBPw3OyyPDbs7RWgL+gX+9E+33uJB+A3z2Hev/c7xrIoqQ+q8apA61ZymizySgZWEgyM3+CC1nITt/xiL5zwEcpQgswAr5rsimH0uwXjNWv1/31Tsy8ZhTaJW/PMsCd2bHMijaXIwfMlrdSzATecX7qEg/3xqXA7qAW0pxyzYelV1HyU7LdDV73ldh4hHe5V+zrkTJMQAPcSsZf51H7SuAfbst7KbZ31m9vygUdc55vqiP281zTxFg/7RlnoD+Sy0nIu+kdNvuLAVe/T13jAF7f9utfjwWfK2hqeuLTe+q28zHUAQ9eOzJAV/bhTeZ/bAI6H7umJ5s8ODx9s1c979uMxVCRAjITl/9kzt0uR+zvrXZTA47xPrSZkN+pQzpsLTYrkmMF7we0XoJtdAWempr5zd+YH+wKai3wiXZTOXgH/Nx4UVtm1jFHvMryeWmEepeaOMeghRq7nRq2zetImXuOIzzDIjV9rJHXGg0ntXrA++L7NV1J0PqAny9d6Ze2nI7o09ubM6hQPpr3P7eDtTU7TmLjnc3gMwjAchVCWrh+RAoo8yvwrYH4dSi52c9HnPmQd7rMhimpV31lAb81Yksq4MN1oV4+Zja8H5yujUVHdTT7Wk7RDHoQ51BrElYolwoo8eHiUOA99eMKv1tNZQfMhqk3QfExdbzNCSXwN7adzLcbbAMv6W3K7ISdhrkSqH/1EgfUzLr0ycwsXkGNejDNvRq0bsXsm+SKQX11GxuYlLg7UOsd0PuQP3Pc2NqXepoqJ3zA8/iWY7aQnk+CZY+9jbO8XzpZGK9Q9PHSDgylC2OZA3z1ysP+DvhT5ZbNTU+cAi1JV8Akh694ML09vceQziBycDNO9waZueBklCNeK6tNgGuQnBn/Sp4a3UbHCdj3b/9GJQd8PMXJsXzMGGrEwfz9U5Bt5Gh8laeZmrtzx96RyOypkMWpR6J2iWSu8WCdrkRsr/UA75Nth6aT7wfQlI2Y35vzNiOdvKeh7F88CmpOgmOZADbyE1MujoA7x9OaRjquLbbJzZ2umZ3i5Iu50xtDUMPOz1lAm/bzHTSwJ0ffO1jNyuLQA55KWRG6DWgf+JmQv7+7MqumtzuG2gVqHy4dtTsV7QLxAxzvujk4d+tgede8QBO3EtDEW0IdHmKOlqbgUVa0DhOINOPOzRx8TkN7V0eA/860gdS3gdd9ND1ZX2cOEGul8cgjA7K4sMtMtwJwD7B7+6jiZCcpv7K+teuQpMqyK96b3sulaPrt1xF0DXBf895yXrRC9HJQYW+8w0C36BHb/L06/3lp2O+y4FUqGi9zUSV0A+/zy1WDOc8svWO+fTuNCcqAqB4gN0X/teEj32cMfhfoIdlfQXPq9BRmj5NuHyeWecBbH0fD27g0/poRcPDX/XKBIcbEcL9L1O7T6O42qLFLjWfWKSu1/YXY6ictmgsb0Sht/1aZ3eN2O4B20pk1L6AbPWl/3qnd3rO+cUG3lamzdMC5itqRvHTJS+s9Dms7pyK71QEJMAfVCM/B3HPkHfBdq31vAi5YpPXe1jaNvy5EqHtl6wdwgw/pbLvU8t6AK91VhPXTryLeOdUwpSyH+O+Xj1P0O7sUNFFi8SKpUrb9aey/d9PoeIr5o2HztXGTg3I1zkOOSaF+MJr87DwP8Pv93JohVsmOx1+3emA3tfLFPHMZTdL0IaUo2ajOv9fh8ooNO+2ws3f0eAw38OKlrK3pG/LLAn72drD/WorpKXfhJwE+Mpp0wCvChvs9NvdH+fwNdfmQmxk8ppzM9XkGj+C5X15AvHOzW+D+mmubS2u7MzP8Ze896gh/K6Tt3FrW3J4Af5eAMeTSHn8Bd3sXoGckhagZLFfG8J7jflP1c9vEuwczXpfvW5RTFKcPwALa26DVjqfQenFRn0JEKmvjSoofR4GN3zbgZOoe2fZuZsmI7e+qkexEl/DKsS9pLychtsBPEwEaBDQgBt4PdSogaxPhibO7nSJecMd4k083VbSv2tvu3fb7ny8ailW8s46xrjjFNHVQW7E5SDsJua8LwSEHO5w1wxTTIHVPKL2DnkKNALwb+D51SjPHUTDncwVMwMCzSOnIDL7LiwPYmE2YcxIyZwtVUwmzn7Gynz2cmRjsQsaThs9S1FFbQX74YmxH0CqWGDxdB+2FFH5hdhWkgS846x3V70zfzoUAb2fDHDA+vWZGjjk8pypQX2zYTjXgcAUcTNl+CvznW4qNlw7tYjxPGHDiNCAgEIAXO3+sctimTCSy7pfwBI+gceaJ9ImXwmtidvbUN6Cg29pOXhwgyIXdgyYtn3vNTB8vY47Kt6t5BlBHoKZ+3fP+fsPR18oG7EEd1rnZ0SbKDbO8+DQ8vcTuArU/FUsuoje67G6dBt1xIQcJ3/f1u4ArfBPjXyKmoe6Ah6HkiAM9nZB+Y13oHZypOrjPu7M3iF+PBLxshuUt6z2UAk4eC/yVMsvl57lMBwacV/KcceAG5CDo37vx0nzVKNBsZ9wvdwp/D3KXS2feNCuKqmiL63z7c7B3thRtxIFnkkgmR+BnZJSHdOWzCL2bCpJ3Nqq5ibnYr2SoEb6oXtkqkt/AuS1438FrniiFWt3QxlMBDkAfC8jta/5+XUFH4b2zZMZz2PAogoyfInDxsXFltPUOjz+mh71KV3apx2wFXSRxRD6qx9X4T8+APQVnoVc52xe3+QZ+0pMQPX3OKzO/owmHvPqoxs9HDdoR6m2Ux/qRdm1ZD6jLOn8kxivHursn4Idmr/Fz56Vu02o0jpVcH9xP9+DgUIVow8JfP9hjpWUE9fkm2Wy4x0UKXpkZuarfuAeoTGxIb7KfOhEZHwv+QywPQd64Deiqg93+QC4QzkgiQ3vGGrALeO6zHxuwoRzsffO/XX4XLtSFs4QSLQ9Vb/d1qH64tY1ohM/A0YGvtWttbW9N0XhpoDfU8jZP36sRB4BtWoJ2Obj9JR0SrsLNHfifxwe2wWbnWMRW4NmvGR/ryKEGIQS1jQN/MX12zIW6As9A3s3OtBQ4qnKnAEc8gyTwjrFMq157lPpHUkwbwJtYOVc37fwzteaI8JbkoezyAjDZsVwV/+6w5sB5oLaSnIjdXXJEM6ERX6EusZmaHWYl6MDUmUp4th/AS84EeHTp8DfBbIFpc+OCr4qmK6WN04R8PLht8bzHsqa+7r0gZb+93zgzZ0u9ugDm3cmQ7LBlWUcxrzWbPMkmMy/asQDPudPa2HgfAHLUAl/SAouazavxmeY99nLIEex4C/CnyfQI5Dpdy1GbmeX7L+91cJbp5AoY8k0KLU/F1B8swuUoQa1ZkKvkDN+7S530BhqlEJR0UO8e3FIfPJq+md0/TqJ5NPaUAIycDT+RK0+Jqz8o26zGd+Z1n8KiZgM8cwKuH6SRXXCoHVBXI+D1lZmbraxlb+Y3U220RbLH/bYQXQsVT7o4bOOy670Kch4L4Kp2EuTW9rt2W5oyz85tP4af9cLKpA6TayXCB+/nvtSfSxrNc+W27t7BN9YRDNrV7Kq7HoXcYzZ/AYdejT+AiHfw705xVkzUOBjSDqViQCnwqUlo0tN4+mEOeqP/24nMzd7UkqlrE23PdFVhGpMl138fGHgK5KiZm+EYsMv0VkDsgYbnIPJQl9ohxETby7H0ePy5kcPm1kBNb1xUYGZL0OZhueKn/8DrXJTa0sOW2qge8IYRFzB40zD0AI0enUaNK0vu+DhpPCbfFDTQMZItvM8N5EVZOmZWx/SfJRGj8r1xoA6I9pZZGEFcQy3Qx4Z/vmIjbrrEqhxz5gN8IfDlacRURRzlfGcBt3dL/d/s7Zoca6RvZYHvymohl+4POVibgy13mWVPIkr6TEzAXdimfs6YqB6wdWe8ol+zMM0Qmt6hNxJD9S3wBbhRQdn9RmjyXVF5gLqPsgLnzGoZM9oOdBnp5VepFTyT1jt1vtOg9k2ZneWFzFSgMegIF2qcXYWz6T97cRuPw/s7rDu7EQhwQQ1QZzvAfAnYeQemRszuMNBgg6I4Js8YXVBe4J3QXxsM+ArxdhVDMpy42h9RG5zEFgk9tQTet5kNbihk2H/nGzJs36GWHaGGJ83gIar1kmmSQXylNDIYozWGPElXPFFHvqX238vBaq970GvUqAxX9UJ4ZxrqlkEtVM4XxJY8VgWnjfhaOZOvOLQo5CDE+5kx+01qXWKqJ9NnYna58tE/p+ftzzG0x3zwklIT9tygoPEK3z9nvQ16yAe5if29cwfdjFdmJT0R7UTcaa0c/gPf5TVPlFKKvNr0drHpXoO2BQ5nl12SAje1CeAt7ZRmsf/ANnkQARyMya7hU5ZydK+GZce0f24c9dOw5SaEjOB5P3c4nzQ/SoMX4nd31Zscthry4HiC91A7y1ftoBhilmPHjipXIiauF+LgGLChzQcdYXuSZicdcYhIQ/Uu7ekGcWLmgN9qkVxY2N5wh0VpY8yp71Yues3RL6Wz7E8F5yfuM4NPZCRnJp77hnaQSz94wJzBs5VQRVPHshWfDFdfqmLn7O2/D0H9QzPInZnB2D/3LfBb07e7lMor7637wcYvvtEywTNa7KB2z/6p4y5oz3+9Bobfvc/foOOhvvrVicmR80mmlunlUb7RL2Wv3ht2tU6jH3F3d2NiGXNLBvBsUmkp4/EcAy5V/49HfZf2p0XXxGvEFLCgv5xCe4C45GwtrUwkYR4+52rMrAHoPvjTYUKn3trQlZ9rhx9BEw/5v3MaoGvlqiKVUEZIGv+7p32dsz13GNPdg656zdh2gmy/5uNfT5l5O0dPnONviCXCAh/KIN+wADRm/JzJemNmf19vdheQn9JWxi+I41GXOXDZk/Gys7CZjXz1cN4VS+0MmC/oSLt20XPvX6r9VoQqqYdmA+85YLG2Do7yai5p1YF4B/52LHa28c5XMTpArKf1CBwceDge+O7glAtwC+c0KoLZr//GHlA1yyP7o+pVzAf7drAmKaPEA62aiMLwvOVKoztUDjvO3db7N6OANTyHO9TB95PoXR5hT0Xocer6W6XLy8EFfWv4HsUb4wXwOt84OL3H3rdfVY8X0F5VDXEHqmXlbjtAnb7VEP2gwXsMnBr0+JU410VF2y+IEwt0o1O6/WJ8mk7hkqhoMv28FDTbTYpsA++xBL3yyzfKYfnihXaxNWHglccqKC+s0EmNpqTh+I25zf2ESAF6UrIINDcvHQb8kQB/pi5m/Gx2JZEv3vl2tfojDrehDHvnGE8xaJmMDOWrztvNYBsP2zwd+wcZ7ksaakFjNNfO5pL+3t3g6ymcPpi1RPWIz83avrHYeOPrPXWmNUccuMbGIbS9CfjzytEXTJMCF/2tdLbXX947AN8x+xECqOK8LTFK/IwqBzSdC7r8ALXIeMbymut4DzUOOIef98a3iMcMcpcg/IE50sf3q/E7BF02XWkBcTqEl5OZ2+MvTXQ151CDAAwvz1cbmN6xNDuB4GMaj++Skl5Rv61GjpXl7ZilLfhM3zy82uK8/U4H+7/99WYfw9eDOu2hZqSt4Lti42Q04A/O7N+5UW5Nm9IGPO2kBq3ngc58yEJ9kMBvs0Ed04Gz8jGbXd0/JccM9DFQIfkG7+tL6PBGnHY2/v31sDxoTHA1KE+5/IfHfzf1sNngWL96br+x8VPiGAnIvcx464/PM4qlLoDLISS5mYHgCadF88iG/pY5O7eiCLJu55iemPSxFcDDU/h9LrWm9wyeCe6TdzMnfBowI4F83dFXKeC5tNVo9stlHMk8zlziArcy+AWcL+V/n3uaDrbysOtPwHUeZaHtCuKhAt0Jef0wWkLZbbmHmJVC5sew/RBFuSEuNj5Nr/uvJc3/eFWRxFADnx5aZs/iEfWbfPgE7WS/Hc3sIVc5Dvi9jryEjgngiua5szgpJRUe/RtnM6rQFJJ8+1E+/myAZ3kNkkkD+Qa1O/+tUUhHpocBYuFHdNnGnKvvHVKoQYJesi97s2PU+H5T0HCrOVtRjyrI7o3dfkmn/VFmj1WfTJRq47kJPMNLeEjeTwF3IXe7JvLm13mUOUOpAqLz/svORzwrZ54bwMl00F4TcA/3qqtcyD/x6VWD5+WF9nKU3hhDBzJqmwB9Yl27ySwPOMRUNGMSnnrvlruJrUA/0PHXp8KiljkX5GPVW7fG3L8WbUyBAWVM30FrPEq7DZQtw1ME8dKxf9hmtRvgDIesQGMzIIir9l4JeB8jgbpi9mGSoBoTClzzwFHy2pP107hfdgoYCPVohspTHlaoi12yaZwkIyFox3zrsi69pWh3Ow3623gBSbZsmmG75AUSgFsVH5bW9MWqIZHA9S3goh/Gi6TqS6sZXrpyztKezPh9+5HGGPJKv1FrCVg4VXXg9wyR8YTkjY3TjbtENJpXrJAtWTFPR/+t5NMM/PWb9OjGBr1IBM+Xoz3W7c8xsi2ez//fz/z5vyvQI/DdgUOjPrO2oK9Sh7j+jxzMVu/5ylbtigI0MNPGMxDeF9SkwPixaIdwvgDWB4AjmyOTnA+t8S0+HpzUgnq5VNHmxec3BkdxYfa+fFrwsIEXJ2Y2ZwDdV1HH6Jh5Bv7Ugl7+IAw78DNbLqDORc2adpIrS38xJjERGcSN8bZPAGPU22mcvlVofHMn8vsMHbSXHX5rWKJFl/g4zBauPzfc+BZxP+dajs15Dtjq++ZMCLCLsCIJTgVeaWD6zz5vwLVB225jiOkH/A7WjNOH0HKq+JTWFv/dA87hk9UsdWrWP6qYnKHmb0CP7lSgin/ezJnpWQqk3m1K7eODY8dc6JHn27sK/I+6w0tqt4PsDbf/cz8Kr2J2a2Hrz0WNwOvc6XXm4Nb93Tky9VMV0zl1cAma48LW7FZrSYEU5YAZaQrocQxCB7Sle9LJEerqHY/tkBsctuRFWp4FCHM79eQNeOX8/N1jexYjcdT4uk+5ugdr6U7Flwcc1zr15S2HmG6cO/Dy6ZxBvacD/yktPKU9qhrHvPvePoWWazyuzRktaFG7NNM84bZr8rkTGqd8DY1WfKcjhppE/tMpcw/PA+VMbXDoXSj3yRGp2MyPAZcMGTX91XqjIq8QBhMj9AW/LUu1nPc2abnmST4sGHSvU3blg48YOIQGbU5CEid3+NntKfZ/580ry9rkTM951B4Oa3M5OKYuEODBE2C8XLOOw/tOPnAMdd3s5Bzh2+nkBnoxZh3fpG47YbN/Sjd3Oly92uRJzO5mZsz09gI/fHlHTJx5GLTOd2pPH/Q8l2Z+tQmzR2N224wEnzSDHIHnFxrvJvtCXH1Px/KGH3MmzQ4kRwdm7p5oeZVItQTwvHZ2D4iRtnGTj8ZZXrh8yfstqPwveAfbvnL/PmQsz/WKSANYB7VuqgKOodI8KoSsE01vBwdyNpI741uRB9yv+vBeQY6nEf7O++kAsRWYHU+gZa7wen5I+LvfnDOa/IBuyIHz7gH/jwRyQgIm0x74uJu6oB/faJ95DCK96tFDWYvxuc7SgIyVIA/VkXfA+tve4WW+8h0ZuC3CGcEzNvcix9xOX+fzMbauULNnW7rtrhn+GK4alXayqaHWCbG98yG1UwvfAPuyU8+D/Dw7wF1n5jSXWvx5zuuBljpzO/nGg9yceoxp0d9VuJSp2U036Jc/27UR+Auz+f3gaJLbyb225iV3IMfj6cxWZPGer6DJfuAzrKC13kSgzVnR+bCSgxp4deqU2SHnZkLFx2hr/HXOp+7zZjyuIQ8Yp8lL69GGgw4cOeAPL+G7PErqW0RsL0T8caRgVrnK+SQslzp8hvrzqIxP14Ba4P7nKkBX2bfAw5IDcMYAfvZPbqVGDwLGJ6weuKb2r6euw1BbAHc3np2V6eEHDaz31tdDjjhuOrw2PQIemF6w5QUy8MsqkLTuG1f0wJMLKRXlEGvT/eBYUNm9EHQ+5DgeqCMrGVo3EuvX77IU5BpHyEl7/FZSfqltZZ+Y7riDhLLgnfXTBXLqpszomN2+V+asbuQeE/NNiT8XNliPGvjbaZRhxf2zjE2fI9lTurOJ3RakX15nDh2xGq+OyFr2+AfqSgBxkGSDJhVqh+q5f8bENtuABoxS4ynP0VWJcIFa94B32MIzWUWvvnE4+ZzivLF3FhVtBRyXN26/Emv+3R1cDp7p4ZLcfe5W6c1++HLFO1n41LhtZqCI+KgfhKGvXE8l6H+r1P/2owimzE5dF/hUdESJh/9p+ZJrnZldz4CZFnbSFwcYWKTc02D4TmLuFr1UowO1rnbGjIecNvvP33OWmLMFoxW+ALvTdGxnc05Y9sv/8trMjMefd6JbYuZ5G+4/GPyuKpxfHBv+3eVChWamH46FmzVb/ZCwxOdsISk3eAY46rYZjfHV+PDAM1yhHvmy90bjM2POJSArzOblRzq0Ex/Y7Vh8GV5FJHAX5ZJffzYZT7MMSFWF1qWxPF0JFYCuvJ8K0j7vmuPGNntrSq2EinaAY+rYAA7D5x8Em8uD3axH5O+wSHbMeNe6Zk9XaFVReyuZ6rJRv/oqeSPud6Nl8k4HoPkDjvo1LfgXNbXO2S05N/4REyVQOzi7Qmwp4H2pTV1/z0D31VRC3iPNogWyenGBsy8slhmIVJtw/ygCFL7OlgENgBFvv+mwW7HZ0sP1bO5hZfTHNX2wUGsBoTMPIx9je4Ic5N9CLKARSQe1ZkotNPFoKyEeoAbxj731Z33ua9NfK3CHi8HS/77XuXn64svvOryvB2vKDu4UsgAw1fXfjPdaNWrn8JgJi+yg7nYb2hlv5IRQ2ppp5Vay6cKh5oKunUXELsZHpx68weygFtGTz7/658uDs+2PMfpRHfARW6FsgHqdQ+2yjJdBshGa2ynS7ziQ8el96+FQHStQm6mLdnknD5SxmwReALrsUTECNatZQU31tfE1oHg4rK9dSHOnInN38Ncx523wJkG/67R8bDeN2AImgVZi6gDP6B1qXkt0v4Hc7aj+ezm4qpNPD12cntAk5JpMONo8AJtwpcu70ZSHJy7/z9MJ/t2vJk463pGFCK/bW4vRgxlZ/ZFRfMZx+wV4IWud2diZQeNyo5cdvpZeTQnUi5mnYbIXETL7uQsC3P45ZwAcHd41g5x4zRNBPYK3NSZXyj6NR+cVs90duMtX2fd2yrb4NPxxmGPDc3vuKl+wnrKs2K20n2eo2ynoG5eu/gpa0pbdX6gnOKEdlszKjBdIsX9sv1+a6L+zu+w0JJwwDVwmKSs3vJ+YHWY9KlPaDnu79aSYNAesoIazFmajrT7UVvpIhX2GGnWUNmghhtxTn0gR3V1iLRUvVJS/z69ztjcq5E9pfOYGwvH5usnYYrjuUrnpUr9fN0eBzqABvlRIMGXGRzj5YDbgqKVGKjyncXmeAzcRvFmMR7GI5CCAS1dDW1Shvu+t/qWXr2rMNidNUBokuGIY7V3/AjXVz2i4cnv6aQI5izB1OMKBOR+FmhpR3epTlCRm518mkjMBTcsKvE9p+MhX40XPHw1PrlyXi4rYq86/A+7jfJRH3qm33JHnE0sGXkjQ3p53DGcPW/fLqZNVE0undspbY21uxGCp2RNKkcV0a0YLr5VlO4BI3qm3je8PowO+UTRBHM2veSLIjfbAekwl1HDSMRu0hdNYy8HsW1XPmLfNLhKjM3cE+LtcsZbnP57ZKQEP1Qa6Zv7/Au/tuwbkpRqBDkQJtrZp5fpRQ+WrV8SqI3VtQpDxYrph22BLixXEWB4T4BFkzhyFWNFbpPt754AXwGMHHvuUdf6iBLyTHn6n3d+zATiG6fmPrksltivwhxRr8l5x9OoXJVC77jI0Hm/6Qpz5Jgp53rvNSqky3/WYC3sG1uw2EHnN+3w33ZRPrOq/LPj8C430VaDGlaO8pNE2yq2vm2BJkIZ4Z/adkCD59eDa23oFSE+4SCzDO4GXnWmH3kFvF1JATA2Ax9TXp1B6J8432NoZz9e7ssweTm89RhM+9cgjti7N84e6ZCnG01OITL+92XPx8pyJKIOYEupRmjkn4HeNg+6cglIulJtanIBy3kGct2Zn5THCRzl8LVBXP4CrLxjh6YjaWx5Pb5nrAzapo9GjTbG7ZMPvufsLl40faII1YCrS+6wHrgHMSxaS1BZ2G+sOOpWZfbjf2JoPae+9MZ2kZJgPGSVvkL8jszDEzOdSm14fgUEb/fWORaJBG+dprBBn06sP9qI6//w8k+vlZHoZjhAjuYVWGqbraVQuE2xzDLd7+r79gHjI0vO252GSMStp4fMQyLcvMweQ8ewO+Dxyhv1ThAUZSKzY5x1Hv94RWRP3xvcbamh/Ob7PZZrPSEL+lHZ4r0NFCWJLbXppnasNvG9H4uxhaiO1jL7beY3TXtPAz0kE3NPlbj6Q76eXRi/jtCcj7fjvXUDWT1/P3ZgBMtvWLNV/WryDODQ74nt47vAnqTv5OegAGjcudafV9EuZXq/UaEO3vB9Bj0JNRBnTrsHLY/y5NjYPJCftib96D64OjlM755hDfbqQDv8AjykbiFUWsEcd83Njfy0CmYotsXSSM3ZbwOy/a02f/aVmV0db0tClw8bMw1xkqC8SYoBQfk4DDnWRvDh2x4DnqHFnely+8YozHu0gDhHkcXrJVoKonvraUTsWefYpajtgJJeK8n1jsGr1C+AXi1rxTO3kXbAvMz8wAv+8gK4TOGoh5+bX3E1Q25Cp/RbiDp5RIdfGUXsah5ZxWZAAUFDbr8T134H33vFAprprU9DO5mzpxiLQpeb8JvA7bCVQbxYPj9puzHlb53My7paTYZv/ab2Tno4pVObTaO6GdUVR6Jo9gbmlv549vhwzgDJzpmD6iI6VVbpH43MOnLyyZrOnyHjzm3w7nHS4UJ0gSf9ugE+XJPC9vbN9+aU8zwNlHy5s9DGL8JvZswdczSFcfxNLfeGI2eZ+BjjEqiKE6mjSVaAj+pzBgMrS320WhnfQvJQJNMM/r+r3LfBgeArmPr1vf2dhzP82t6lpKGnDtm4d6g3TpSf7zyXvr7YCLK2dJKc6XU7GZ8p6zq+kR45vmTb4jXqzM4iL/s6h8gAPv2OqktqRP8ydvo+Bfj3Db9DrKY//mj42WYFuSkXbcsfep3q6N2KeGz7dpNBZI7RDwvlbFqoAfnMkKLQM3pAeLTWSZg+aVw72Iw+be/q+/cocL6kDDfWQvM4PE94llCKNG7NLNppABU0FN/MgK0bsee87laDLXcUsj7kIQXwlNO5BVy+zsjSQB1Wa3TVZYXRYs1GDtcGuCuX6uak64jNGXufzmAB/p+ftz4tjly4vGxt7NDJ7TJvnWZnxfKwt/gFqJMVse66AtWIb3oU1HbiNbiq0JcnnIQ2Q6W8EkuwVjau54m2q+vZ13hunXWv6j+GZQF1yvAd+/LlQF/hh3DxOsTyntm+83QYsPk0PU4eBSSph9h5zOw/ZRUZEkjh5IzTdYIg/DH+nsabjacQ5fO+Yx799Dg+u/RTynB/F/ZZq7FUF/y6d0s17c2ZsQ91PcNovzjGAN/u+deH5OsD7n7tNOQrvZW9L4Le3Svy5sX4agH8Df+ULcIgHDvFDFfjFe2PBw9spSAZ8/nf2C9VZN4My+1mr0laDGOUeMPKau35Og/4mu+SSjtLGBRZM2BXo/Ioy+IzhHAIfK5nVrKojZdVvzflVaM5/XvcOlO1cHPgis7JLtf7dQAxDHeoXNixVWSjP+JOT3rs2zmJm+LKGmTOFWUrQFOXwtUlNnzwj+Mi2vHK52cn6PFc1u2FTuwUdJn/7zIlbmsmOtHaQi0FT5kXpHezPO+fJ88yMcXkkgQrkmN6UO035f+fgZu4CMHmq2Gx2qsJ3xWPTT1XWL2av8rfZSQY5+cicVz/2PFLH68gg/bS377mdLpVt9m20Oh0SZvpy0pjMJehlwOhNPZYP4Mk7TBMbcOqQx6WTOdPPafx7J0gbjf6TD/adupqAFh5AkxzN7r4XZ5PGk7Jjxoe/kpHMKzfZnyDXRGSnkIsX4DbJCcE/F5PZLXIR0ZalkRLNwD2hp30a/3VlMdnPXYCucbJMjOMfAW6Qn3qzQ957cZsb6Kn9qU9vTYwXaWkvH3CXuUlF7fQO38Wcz1XASXlKtWOcTvZuYvqIseGRxwCwg09fdcHPBycpT8HnjQpi+i43FeofgN0diX49MSCuN/ejkCXr/6zM9E7EnKoheTsNLedi+hKIl/C73oBrnvN498Tl1PhujH5PR+DSvWdmLykXs9kzKuqIlDX/usjx7wKxeyGFevWKQBWyr3WQfDURKgRgrOL4m2h0FFELMY0vWT9/Sdtvmfhjn4QdQqxAHIWbOlaJYu2Zh9M5c/VGRtaD0NbGEZ9LTojxNKFR5qarfOFynlnzHrgxERS7eJz4KUKXymn3UFM7FSQOdyZUBRj+eZvlT4z4hJ+3+JwjTnv4xV1o1yP/gc9a0XDaP3fFaJ1XnFQVUqHq+euscp8/gOsNUHytJQampevHHFWovf67c87cUgOdYHNKhyUw84KS+3lK2V1pDLVlDgATnCcv1fibCSiMYsprV1PmTKx6nwsKGP7iopCDqbTaRBWQvxQVNEJmv0RGHAXMfn6UnRQV1bnk/JGL623vmGeZPsp+s6nNHaFO76ADfeCGSe7Y7yfjX9r1FxHr1WCjOa96nUcZHQ/c4GZMl2ux8FrvVhmoj+fdTGxyQX5Dbb/mlpltb4PUxmbn3K5xyURM/vTmHEB+mX3fYpzOgqKLjPsL1OtH5rbfx/ftL1YCb4yw6bXXX+vTY8E2/mu4Uh3wKOACBwdPLGgAu/ypHtGVPfvH8J4W/JZHwCVNz4ud+DQE1OptVq1mvsS/pYW6EaFk/r598d7yeW5VtJj16EfA7216KaUzf+QhcfKIa9AuG+AfFo2Mn6qZjfKPpwBHOW2cEyIHivhYh1C/Btv0lF3THrnMmr2USVo5y4eZ+Xzdp+SAWweXeZALfT6gQ6Yz57CmLgednjrejMPtQN7/3KnWPzifzVs0M1tO3kldg+ZrOKcceDjt29D0DtFAfoHKr1KLpGWhj8DSXzG/B42HJNIlcTFm4fUG/BJqxfKdmZ2HMbexy1zjp6p07zVr8vXsweOm5VpWvMeg68hDiYmk1mZl0Z8NCfGEdcLUmPzwUekj8158XpwYb48hSfcukcDr1vIxA3dBgga8g7rhiyAzN0agY9rY+KGYHgdst5fSDe9MGB159eBd3596Qsw2xLAL3HcAfXDmZtZEbF/3RIvZ8y2LFuqZ/t7bwHq50WfbD97rgGt9bMbWA50fQjyFp9icCRtvMXgnnJgdaQ5oyXvFs4fomXH2QhAn1yqWA/xHKoosjuTL465Ii8zsgCnE+/zBV5LX3L8cgUOoqEW524KGJl/l6EMd9i4qUPo0kl6uBBMKbL9re9Bzg5m1FSjJRTR3qZjNzITMGcRm8NdjKHF/6yHSXcnRmLukaATfwJMDDbDtIDr+9TFDvlZj5kL+XIT2f2omF+7qjnXtfOT62WfyX86mmJIwoyjI+CSUi2+pY3oP2ld+hbXzX+8Hxfu9MyWAkYLkWzeFfyMXS3xiW5r3k8iNH5fbusY7h7oJYCw8cxfUCvffeK8wFvO91KCTQKPu4U8bt38AbuomnF6crRc5YLgtu5wtAmr8nQdJeRR/LGoZ71Xlm+fBjf/vuFsBzTdpzOdnTgKu0NV4MKuV2c1N9igDtPoxc3BQQ6vUyS6NlZjddC++sSg74aT7u+K1XaBMgTyGcOx5ftJ4o/pE5n2C82HGStyBf01nae70EPmm9t/bs0dUeBkdVXew0Ecmkg0dzIzPzuyzD4ipySN+9YtOlTWZ/XWDPENu8L8PgdpzOuCvXCQfki027oHFufomQ9zVPf8RofFQ2635Y+vg9/mZf8YLkA5sBbb29FlVw+5+pM9+qZSt/mv+y2Eh6bGrMdafF+LKfVrAE3H0+wm1uWSA99aXk+q/LujJa4Pwhce7G44RZPMfm0HGQY3oJeim8vHHzsz5ruGH+u/KHctm/bwvV/mayRqEQLmZsmFRBp/9j/Ggc1i/XJQNerQgH3yYRDVsHdlvbr9YOXgI6hNSGngRyJt/u3jum8ZtcdVPQc48wB/QIUKbPXevGYQZ8s2BzxyJCFsn2mrReysdZsv0/9FOj2lkmOzOOqzIEWHSN4zfQaN+yNDe18L0AspNHi5mhw7wbG+ue4zqsS2fvmfUv53+16dXgaZamw5qTzTxcvxruIvxijqIobFJn+xZQQreAW4LmVXAK7g1508t70xfalUbISRros1NdeaM7XUutD0Szn0eG1WavHx7TL/dRz1MG8ih99z06QkUn4REZS+zvOMH6XBWuogbD4wMOEhq2W97ExeQZ2lBEjaqNF1RyM3Z2+gDv/QJ5KH1n2fDZOZtXzolcxXwBchvp7cBozkdtJWaXYiDtksL2aJP0tLaPjib89r8fAEl1FY70C3fvOgdUEleE4NOMXsSAonUY35PzRwc10tqARj05Su/+tSRVTqSBbD2TPjuYe5M/u2S4nspVAXVCf/H1z1zL3EawkdmbW+gF2/c0vt8RMCTVQJafDR3a43WNzJsVxUnEM82cNe/r10SttL+Udm7S5pvRyHUXY79LR2T81FAbDv2+WA8c0xPhzNlKWAF7xhoBi6kKG8p1L7K2bIm367U9c0J3SS79l1ECJ0CtaeGl7Lk9+6mBq1ovGhAb2Cjl1kxhcpqEeCYozr1ISIJ+tEyu7jfTjoR2UAcHs5TszZL5cyusharXBMmBxv4ZerSaMbmvhaH9/XI2hVq/W/fchoRJ3XsSg2QySEwM6d9lDnwDQQ1yGkXbu4UI8Iycz7A0WXv4pmjFnEtS2knRWV9WTLq769zyTpoM96jAvfK5ZpcUofI/+EXcOpha52iJGNi1tWgo9zRwIWS7BR93oXGXdkRTUck0nUHGDwlDZL/egTH3m045EWHkmOAfrijzXnEJRfbJNV+J81uiOJ358K3oH5nuBfwCCiyswS1+I9DxvJe6/7BXP2AmrY+z0oAU9NC3oHjrQS1O0GzB6UJBS3bQw2E3JpmNszdKdaodPSZOihI2e+Owv4Y8oG7cvjvLhVqUGmzgue5xS+ceR2NQ6+myK/dFvgXTmm4fTO7n4FTu9JZ/HLQPujUs+j8+8nMxCD1XfLkZnzFVDRDXE6/noQN2454uENMhbfn+dEwHxqOJqhTRuPoGjBZ8U8zA/k4rPyNj1BjOFSMgYMe2gY11eae8isdbHoKpWaojUinrifKSW23aUpfcxzXe8NVJsXObUyfcgz42nHj8/TVxCiEusSP4RzXlvqCmkn2NgI+KKWZza/M+Q6TCeNQh8R2l4/A0UFXqbi00wj7VaiuNPSuuVCv/g17b3NPodKuItntnVnQkO/JylPQiijvIdf6CeUO5EMP35cliBc65yGGZ5YcqwiYuLVlss9sFuq72aldmz6Lcepy7rskUnEa/t6bl8aLyHiCpxzik3lr2W/fGMW98aI9vv+5ncZ2x0BTnSLQI6AtWMAnRjOHQf1JB/7eAC823kPsHw/+ynqjW5ZcPbZZFbc34232ikPgJu6pJxkLWpyDHga+5imus0ZLr4m2ENP6bnbzZI8/5nNUULt/JPt0c0qO3EoGc7crRv9ieqVJgUAPcAvwGLgxYrnBwJ685r8SPOicjplTijk+Rd6h4klAh/5+incb4HL/7vw6w9ESN0fk2kTqo2bE7PJM6hG0YeSBnuVHcy5mvDcxS4oG+DNgHfAiInPn5c82k1NoA5/nqLJm03+VZH2bVwxJQv0268y5/kSU1nHptnna3x/HGBdCZAs5bzdNRN6Mr+LBQWllff7zXHJ4SbvW7Pn4AY3Vw/d67aNfGlfuAG8WFbS0tMm+GXlV2SpPh+Uube2kSH0ZP8g0kD0VGOqv7CqKzPew8rAtUie9N2ECWaonZXZghu1R/PNlavkodcZ/ZysCNeL3jGXPuVDKoIoZXw1b3gVHEWBrUcfkfAI8rdiiaw2aJbKfnnelhhxc8Q9/ziNzuy7MznVArMjMuPy9476Begr1Mvj1+/qvp4ptQLveM/a5ABatwvBKc7ZcgI40py6dtus1Qcwih4aqb7PPgzCSQK4z4LUrdkAEQU3KVqhwjnfAkU6rmFywzY3v20t/GR/hjYRYO4WtrJm9OUVK5xHUfZHccL9Ep3zr0bW/HSy7kJ0sUjH1OXAIXsiSdFDrEWhV688CtRh45qcjQ32tnx5WPErZ1/3I8SsOu1p4MfC+UtF+TWnrNAFJgPvPFSVv9fu2rwf8BuVml43w+cPtHfT7xCE7zb2N6dEEHf/e9BPNi7bIh+1cW/xLgCJgbNtzs5+Bohef54xNGxnjtTL+blSauDdzdYbreUSgkQrk7i3PzXob6gjoO6YfxMKUa7wQsQ2UOac9zzloDHEyeymKv2stUtC/+rC3k4pa5NV7QEtOWGnOQKCm4g5BEBFCes0F+lxPPIlSyqzKATx2lmPatdMBoiN1tt85QlPTf16O4SKxJs9z5Kp/9pO2FBm/AC88BfxSR7/72jTjHOrKYni5rdbPzQm0WzN4vXLgM2j/wpGOBNJQV3wHF0Sc+quLOU5A3+Z7hwd5uJ3UmkT1ADFIFXwevhE0cSlv+3Llz96hFwc4demah+mqArM/S0EMoKE5g2ZmagKcJfCQN5mF34+07Q/Wbw9FAXE3Ao4EJdePykbfUCeBlydt7vo+79qQMdA/A0nMmfqLi2bFRCjUBcUwyi113a++ThmOqzW10wAvCniptPAZOJrHunSpVlVyATp71bgRiw3vOMXxBHqCGB1p/OdtTtkDGFwCGueara+5tvlaOzo45n8swOEo4/y70iAGepLnEUR1hIAbKVHavlsynRBrfpSMtJJq4wNDVN92xgcmDzEpnfDBTa+b3VyML1JlPCGAiVHnd65tB+pdq56bGXo7R3zh/dZ4ABWlyDzQomY3vcCj/wEaqQBeZ9ea3Mhja/Txu3L9PfCEEDAoT6nxS95u6vGvmX83Wo9IW0LOZC++YfpIqpwnC+18iyLs1v0U52N7TQfQt2ZHApdWBTj29AyNyxt8spi5SGR2szRO4gmuYzJKzG1C8/ftjlrL/5/tsIHrvd4Xp6bGFLKtYn6u+UQy0Lh09Nc6Tva1jSJVtBfGZAzfwz5F3GxVyZnrRxADvBKb+6lQDg30MXX9C/A10EeZ8Xfu5LBxpECgdfmrp+KjGpNDY3wLHvPB7EmtCvaA3yXx+/UGcWlhriPsEA7YEykqv/MVJXtXPnAnDa/a54NM4fvplKMr1JCosqz1GOIP8+fY+mOTIn09Qww1x8W951dxck07lVdUlvUKHM3SCQ9Rx8apSIErZQPksG6f9+LwDDlz7KXUcgN83PT33UHDzPWwDETg8zHiCEfbMgNdSPnLD3YOKjdzSwsyV08/dd/eiXV1ja8dE9IHnTgStkQNSjbcAd5c8EcTyW/jl33qtxjbbaXcSQKHBW7TuqDiQ+AF8HmyS6NL51g8d+a+eC+qnRk1nXo7MXyru0SWlKzAnRhliwdYsU8HdctDyAnGd3zdXSjnuzww86wcOJosT+/b4fD446ZmX9mwXJUlzUwI6NmZV4W65jR5va9LOQBH5QmVWnXNygvMFoiLFhS9DRrjczlSzUq7/aCoTY8UNM/5z5pCLWM98QWf4myYxvr853EaSuD+5r1ujeot1JhcGgHvLvBf+mvJ3QQ0J8oUbZ7+jSwun/3YedHbxIYK5bRn0KVQ+2ehIq5ZL8vMmc2uyxtx7IAVbZ9z5dZO69MCAddKDvDfnumdlsDFiUavczaC2ZcF0dZWvDF+KbgxM3m8PWBODgY3ysFwOO5Brh+IC3mtp6kWNml6SY9RuBCE7ymbOz6Yu2xz6+drwKS7ZOyWWncbtNrrro3UVrlh0fVSwc/KND8oJKPDqh9Nx5M8wO849N7zwgfM84uKc5rZwOnCpIVcadN+YwGfzI6hncL3LCFGipO5Txg4aESVZ6O6V+et/3qGpt/wOaPaP2e2O3PWxkWS8GGqMr2zaseThxV1lfsJz2k6kw5Xov+095bZ/ZA51E0WUexWZqOdLMJNbmayNA9LBnzaNf6/7esugGHm4Xywf8xZUq51lLn9Lctnp+raN+ZMS86WnkXhZm/rSIIGSQMzbo7NjqNShX9uuEAz1KQ3ibTJibAGbCL2zpKF/zBnJRgw9vceNpyGIyCNWl/6y2BUYnZ5XdOeh+R5/w56DCWuHP0edH9/5PJa2fiNoYk3UXuB2FtVlLS8IK5i3Afd9ziKKUl7D1jk/Lp3qAArzHnJCpr43+43rWyCtKZWC1pKAwv7u8G8vO2tCfSI2lQO8HZkZvZaY/Psk2IC7EwQBsw9PGYto6RM8+2PGL9WbKn3U/Dr9+UCULZStD8qkvdST2YHsQ9agYsiu9G4tVmnj6WdRMD3j9hKpDD3eBSZu5057/QgOuA/jJv5840CtE6tZTqFaIbP+ra3tihjy4sf9mXP14omB9C4mZkrePpU0PaNjtMPif9aOJaXY4B/8pWz3JpB4xAJz/brBBq2cchZ0gTwjuyzUR6ILSfQsgle/z64qyuzxxTi9tX3VbJeHxlUC2XjWWmDH9MxNXdvAk252T3aQ73v/pqcyDJB/DxuLgQUXlaooxTPOVTr8Ng6EFsfp/PW7NK2q8HzgRdk9fgFOHR9nVUeoe51JEaUIuDX1P/GPb/noboBb3qX+u9mb7ZXG90WtZuDnT53ZtScHOvzjAn3h8pKvkWhP0R4X/aOzRuDGzE2ezcWyJsoc7avO8QM+NUg+y3khuYqnL8bBw0sTLB0kT4VGucQL6D5rcbs+RazpI7GVa9f88TA9VtH0p2Vv//ZHCmmJwScVodOWqCv07jzKHze33PRWOt80FQKUmJruuY6gWTll5y176WNgHuHxgsRKctLuIVurEde1kMkhTwU8Ltl4H81DDgIl4kSqjXnJIQSbGbo0t74DP76pcgmWgoONS61kKwD3+yqL+EZBoAvNuSmVwr+nTvbQya2lA7G05ybO3h4H+QC2BFXQ0uAD5SKJeMJ6lwd6UKi/iKEhDhMgNgnr5msA/Aa49tUYo6CrEc4G9SFMPTNufKkzZeKtmk2mF24fKyH8FGN8D4tDIzOH3Jtzs+Nxz5wgK4xs0ib1DI9phiS5un3xoHbvTzu7jL4ezv1dg/1cErHdp9ani0C/0oBf7Mx3MhBmh7zj5JNP8AFhtLcTyI/ZFq+1wzeU8ink07sqp+ttGjNroBHuSYbqCMDcTI3dX/7zDc1Qubeugc+9uwpOlhb473kSvi3QIf+m0c3d9VcBk1fXiAPQHuFD9JjwDE7O0aTxd2pFxp4jXkuRfsBse5SjXZH4HD79Xc/bJbTzK14///m9LeZWqWf2ybnpqocJodYnybWBei+oQmAA+kWkiThR/YHeDHeZWzLaOhdgENTArUEOEKvKC7ycepOofc6M98zHd72oBvzuHVlodxT+OnsH9sVC2L2AD890QhoC9DlH6eOUA45C3g4EXjvhHmJtHiYD+QM2j+D/HYO7nSlAZ+NzxVwVImp+q9uXEGXSXMOVWRj6530X4faPmh5NJYDcKsOeeXg2dJ4/3Y7uzb7nvjXQ8b+0ysAOOJTS0khgfvphcYK3glOMP9csoEt+dAuoMxeMe/wXhrfh2vGkzfMyEfToYy6fx8150GFkDkXJVmn9qJPb5WD1yM8L+AMRFrbWDLgxaE2vocZYWwFHXqpHI8LNkHsJ0klkgX/z0vnKEaZ14N6B12yYcazN8BIiCkyu05M//fB9m+qKI1v0tdJeLemSBbT32t6j+H7mDn9S8bsUEReCrUQalX7fYpMDxJwyXBmafCLyw+8Nk7uTHPqKJ329rcccQRAeSHWBPoIqjxLENT9D94D9lIOCuivo7j06P8x9W1bqupau69EQKqVl4OSgCixCDlA7oDQCiUgpZYiT797ai7r3xejtbnGmlMl9HyHpB9sbzl3nRPv7IKbWYE23Va8R6Uoke1xKrEAf64OB0Fe3lwqL+GVC1o51qJyyI07Z+Dh9fOwKRFoL1KeCCEFUaWzuqgBIb5J7/J4veyRmUT4eChEM7KkF819Oyf9jWGdHEI/aDjydVi6fEhed4hZeUo2HBOqXW37p4MGmM4acJBgnOVOkgLXlMzOHXWcFUUdYP/v/48J1rDfgJdxcGn7jvONIe0mkCnqHtz795A9aNueQpRuX7k9p4MIZjL4LsHmg7riJk64yj1MDmHvsRj2AidH4nbXChs7txTcn+MTBnzav/v7JX0Ie/fikreKBefcU64yPaCFQfLjFuwXsoN3+8r7Ou492JORJuDDPYbxYOeDibHjVmfTj3dPn75W8BtOh7AzJLphPaw5B5/KHesv8EoWUyxDP1buzRHuOtIom+v+Bm8AcIUjxsevl9crM3EGrTyB75y+bW8Dddp6Tay36Zg+4d0TNUyXvXe+SxM8a04y8CWh3HQTd9VHI/o5RaKHvwu0QwNuOc7OLoPfaPU0j7trLdTrjKiAd2dzv+/w724P8uuyQ9kF9G+krfYNyQY002G3kDMdlE94d2hCm5/TOQwwXkV+tl+yS82+5krouA7Xu3bYegRNUxWWPhPTSuK/vo5T5pC9HTIF2ubEhFntnfCeCn20916s90fC19/lwD0Vcwe4c9S4k2IQ9s7AB7753CG6aft30ArJh5DzpTpeV3KYDuD9fvJRn3JOX724P5mdkxV1rmDlIo5XH777Uoc+3rnUE2jaZ2I6ig3sOhQu8kT6vcNXoNGlnflV9as5d39rJecKdIjg05QJEzLQD7Z3IHG+XC3X/9djocAR4eScDfjAxi1gEOF7B11U5Cx7r/fajTrV5nwXznwl7tcd/GUOuv5ATgQdOHhZk0RCTEwPOtEe3TNXcdCo96a39VjpinE0vGoQ4J3Y3vUP0HPnFFZaFulKm4kAvovKw1fhnJE0k0zD9SU9pU9iOl72004Br0huAgI+s3bIWf3WnIgpjWmqTbClTnMH716BjnvVp1zykBz5x/vMw4kfctvLsVylcbJLF4rrgdt5ePaeYVKoA986nXJbFwu7MTuF3t4TRIx0T4U5VpuvhUTJpPsprQelqsHeO5KVBI/4pzeKRFmOqhZgIi+xM+KzA3Dd/nkFz47OKXBg7ooj6FTRYvM8YKwo4Bp19VP9ziIyP4DXnQwBt8PZ3hvdtAT+cdOl7te7fDy/9vIn+FBTOl2e4uSTR+sJeOFbuzaPi2YU2RxMcQEd/J/GRooB7i7AXRmLxEBQknKbO+/pb+pgSYW4qyJ1q6W7UdHNe6eraGhe59g30NKP1N4RuNsHl3PAYjM2sJ42R6Pm50uZv98PcrtKh/KewR5MnS1gJnpjAwLPNZWNnRy5odvsFGTseNsR8G00Kh2Cun16Ku/M7V7aJgMvEdL47Cg7y3jUdkbUD/A4eMYOOJSO4PfeiIcPEOeZlPZOkezLIgE/Z+Te9U+l7ZHWJ1uxSTzORAj6uadR90l6vlQjHRvnff7TouH7oo7r0c50IYtOazSdG+dh698f8L3jfukejGkpT8atnff7zs7CcQDLBpqqhSbEtX18+kXECQPdNqVYGzujVmDAYiyGNg5evWe/hWPUbhF73k+r+qQ3ElCpErCGGKfgQy9lf55bCesf4SWPmkvtAT64umi47Y3TnRhPPOZoSsIONM46zKPJIz36SX9rjlXWsuR/vY+uPviBY9aTGPhbAYfO3NAHxNddgobWLqIEqc7OCMtdv0uH20C8wE+9ZN94KfDW/CDh1/2/+1B9z443N32+P7UELl2auzo1fh69v85SLtZbgSaM7b6sgJMahz9ElOx4BNHoqP//TCKsTjprcHCw82dqeG+AqzGDmFI4A58LupAFmDvJZ9ZnDxnqJ3hCLz3pV/+NRUbgdU13zJYg0WMXqMUcRIgAc/UiFjtDNIO4O3uCY5m6/rn0RMVdww+xtjXmJnXLBTz4s5TrKxmVIAXtJU+mOrztOdc/TPLXvZ4LumVPx8TGmSsL6wXMlsZfiPPbQ26yVXt8v5fedG+QWOpQv+3R+QIej1GnO2tJ89bgjmIx16E4q0KVlVBDY+sEQsIz0OSi+NMbIxM253J6sn56yGG2tYUTH+ycmymGNTzz8Othe4naORTEWcPn4v/+hLiD+N+o0P88RCrLw+5i+93tl+CT9iARe4XlRux1mM6vmhF1Cl3J1IaP/QXW6ZNu/vlE4mcVXe05xwd4saDBfCXCRBCns33XrnQQzxR4zXpk8DZuedIHWHHWRNhppOkyTr5zVKI2FIKO3euuDWX5+4WEoU8+3u/pkv72qiG4+05R4O7dBklcXnQsbhUngKfmlnPx0/J0EYUo00UfagS+2rk+dTgLKVc+GeYbYMlBu+sdgzhQIXntrwjwyWGb5Dvt+UOaZGPPeKzmlb0BHU02NRKgUxJPRN1ETVepBYMK1lvq3rzcXc3gy2Efgabp8UcmyK7igqtTsE+d/g4aOytd/+/e/BADv4keVK84Hpg6p8f3S4XIR23SS24MrpE51891nEvQa8LmM/3mWSJ7NtAOfkYGBZpO7Ek/3+3dISvUlXHsU6xm3StDY/Pqb/MEn8bKMen3aIJ3PeVquF3A/4WgTe+N7F3QmJe6EIAR1wfoyE+xyS7gd2QddVxvUk+H2ZxHyVwdb1uIeCM8caQeHWo+mxKQ/8CaV83IRUgC/Aee83m9y5FGVYTLxpl3Ke+e0pAkj+EZRAC+lPS2B2Qj0VjHvZ3fGYJO/jzwlf97Ri7MPeXzot1kkJEAbb19gJL/EPH0p6P+qwH332rADPvPbUFpM9IjvOdZbIS7X4yswhRRb/oQDM9VNEsiH3Yuxihiw3h/Az90Cw4sYaD0Pnhv3MoxDPTOjnJS8v4vr/Jcuck+jcmF9Ppawx6hofoW8tbZM6s2RHaWXNZGmmuJSB3dRnu+JUfjQtyozM4xxiYCHb9Xi3prmHo23H+kIwXsnW+i6Ehrgldd9n9540O2gt9Rkqjr8sX216DXHHaeLswbeLYnXWiX9SLJ5XqyZ917BDp/k3ns1K/yTTCkjEjwLUI8b4aFEH8RiktwxGQMZO5Mr7Plp+WUbAzu6RH8te3fJderFIWAtUbWLrIa+TsdGzc14N9x/9gt3aFlXccw5U0h4HkJZp7Imti4qZPsqJssbazzCtOPNpzPeR++zr4+aoF75eIrj87eAXCnGfwHG5qHhlgGbQK8QvpWAk4O50v2fL+TOPWFBxpvAU/b68PB3l2fyJs+6YedEVWPk2lZ8JbB/gROyyyfvfCQDvjZRqpsQIOBRz/JU3onET7lJ0zbyB/3zjzUcZArR5/hOeH3i2Odryfg50sz4n2N1L4GSQoedlXKWWQG1n8JnhSIEPgLtMRf3nKpwhl85G/d4b3dUNZyH/TUFaWCfDeOPvFRr0AjvXFJqxSdn+BPl/QUKDuLFbhlb3vu5w66S3y+CPALGcM763FrAXoS03MFe+d1T9T25VO44IPBc3MX34ibGMWsmyNRVhBRFkr+8pMwN8DKMzn1M1sSO+0rzwb1rEfKuVHRbumfoDXtHeyRndSP3JQe8EUKqO69sDfdbC+HiAztyWxKbk8sJkaKhOan7F4W+o3ZukKR2vmDP23f//YPyDf6jTjTD1tSRCIDWK2uJffB096MDCei0ZdXmq3PRps/+1dfaetFVi3vAhIHES9Cx8590wY8dRyihs/g+ahKB5+D/vw8xOYA63apncn+2l0p/aEV0876Kls7qOKpzxAIYAdl3NiaR/JR9evXHUeWAaY37mzrxAp2wkfBt3fGdVoJeqmk2WQ2T0oko3Z00A5r0H7rUx5/+e2gtrDXl4P0MeudBTT8EXxcCnpIZiKwWdyAWfq3j/H/1nCluN7m8ZSUciqrYfoWEbc9jhfmbJ/Mye56mOzsDJo5613Z628uAEMKWlby3QHvcKrHr5U9e9jZ/s6mAw2g/TJfv1WeVpnU3ywyrzPYCvbvJ6wRA01sSgFatIf9b/1k5F9pOINOMx2xcwaijogeXQ9cjy0zUTr81qzi1Nv+9r7J3Qn2ozrwRS3S9uKNlEpBn+8c/cLDZ3YCHpSdAn7qmav39NSpVtiaQnGUrL+ofv2j3RJJTpYyh9/mdntRBEfQ2Nc68l1YZ9WCrhYF8WAfhBmsOzFJBZqjzDdfrugfr+eivKfAJOA5N8BYUu1ZpNzd893Og3VSQW1t4DkdpyP4ll0Tk0M98qed0dQCvnKmBhHh8RBZj2D7B2UodWl/YCYji52dQoP8RF9n5kGNkjNzvubG9mlzVnYGwU72867yyFlCjKUhutXFtDRjV+3t3Zk018YDTR1NW1vPbDUIM4DRDt3wjQLMMTk93jLwxQV1gf969TrfSBpH+DKke+H2T8aNQ/PbibgIMFzb/utXzVLw+HggfNo1nrFa8JiHW0dxcZfyy/aXGpoNZk2c3gXSgIX6un++PzifHcEAX45r/FeTxcWZoynRDnrjYeZwt3s7yPnnUCjY28kHZYknI/AwoFFL9PVoTYrgHYp8SWQrRZ4b8OsnwfSotsozSm76pfpYR1a327qB0rm9zhzOoOEifuJuKiZZF6Fre0JWI2gU9+vCR/P5v9yEEbQGywfw5KOtAdNgyRPrI20twKrFXZQ5ZhSWCx202HMseI/wyWtHMvHXo5WfMODtBO/XZ7XoL1mvV3WMCTF8pQDb1LBdDvntli7bp4iQ7VNyzfrEvhPRhDPOh362ddRadJ8Z6Kq9R6r/5uEoRwG+ce68/LIL+xD4SMfwPKqNnCePIR6kcFkxkf/qzclQgscDPOwl+Ngq9AvQUT7pw8fOBb7EuEwLOjGjN+Bl7Jy5E+G3T46DmeEvlzh/OTAL6I+z4LdQDBjlGxKCFxF1DnrFS3A5hJfGztssQJ31eBAeeeQnFVUMF7JIJvB7E+99jxfdRCISKne9sH7tVu7VhVg+CNASlVy/zkXB6+LqIK8rwte8Hr4Wy5msT+7M0Av8nU8R9lvYa+Bb5AGTvXK6ETA01/bebzFlBdiQyhmYroN9Xt5zETrVmFwBq+GZtZLSf50DEMDIHPhE6f78TIvtQk/lM0ddysAfpcDReqEP8JV2luKlZPi49/SZeuaUD1t/D8+eIdgVxuwYwvnO+wJdhPP2eBtanFCyIRE15JUPECuPXmtYP9GLKu2psWeFqWvPdpOn6me/cdd7tmnuwNdFKbq0MYGdp3W2vTIyT7ntqTuXLPhp+BrwHXxAkfia2bNNYtqeXiBGXzXFFOK7anF2P9gcJT5ReEbAEVvrKGgdJqmdkcc8FeZFQNsCf8p+fayK7gje6k04N6dxqZeGty3wMHhj7pX9A4HPfTuwfzPbUPu5L++QZDY5YdM9ybL1ZO+nTSS+hUNW3Jk/ZBFcDzEw3okIiGvKQqWa0NZ7iaCGd0xtnvEGZ8SZ91rivmHdNe+nrBzB34xqLB3jtSHNXvxFZEfykWY78Fpp+A4euVkIChzm/Xuwp+33Q0CnAH6cgr563mx+bfTbC7r41Zmg730MftODeC1bkfQMT0Hu/VtoDPqQk5iyvxo6iGl6b2J64xGmB0z7xiU5vNPYdoxhv5xM91lv7y/QthHBd7aQJO3NHtb7ZPuv5liPknM7Z3hJGX5LndUlgz/gSTMeJh8QJ9Prrk38rk3S2XshIfEoetCBPJnV2D/1Jlkp9ybbjfoE3HBpVHqtPYtiXUYHs1InficLfZOCVHooLwSVd+2QuBnmbW7wJY8T8EDTKw6pnV9JYmU/9606CfAG/+6NIGO+kFvV97A29FOC3mhF8LZDwZXIL0cKwbMBDYSZH8YTlnqg+eIM/Gu/gAZ/A4/gsv/uwBY56tddwKo0dJ/LOfkPSzmSBf0mNieOJ0huFHgT4cro/GDhtG8jikrH92Gt9/nHGvjVHKteXJmzfqMu/qzQ9Ot5KyM6Gv3umUvlGvrHlUYMTWjPUEmeO+bBZGJ7QhgCGv7wcfV3i+7zoptt/hSPtyvYfw/wtY6O9A30hw8r9qwi06VCj6mbOLV0ZmF7znDRVQ46ZifzqhnZ6wi5dn6GPHVzjrKZuu9z288ihe/U0oG4pG+1ECspuqiVV8Bb5IFuKeTvvBmyKovkzeJIlq834L8+6ujh6cKeiU7dwfY45uqlN0gtk2fWAx5HSZkNs5EnLbNF9LYfN3PJTz52nurhHVjc751VexKwpwPYlGTMTjQQoCvtWSYbNKIfgL2Rg1r7jBuKGqNm0D2vu9FnHnan+mPNFHCHOL7POiyd0mRPOvAlRwHwM/BebGZxoov9bw/C9kMiV92vLiIGhebqRy5FVnvTp5QzrLHI0n51hxj1G4Y7Mv59l9y7oP8Km1MBHh1+UyUT8GxbX4TzR3niT/BzLuici7C36M7DZe5tv3+ucx2bIivMHfwoqD3bQ+LrAbj1I/vEp7bPFBNH7t6QQOKFUWkm/q04h7jqpzArsodiYFM8dUsxnWo58dT2LIzMvuJEgJZN8kET8Eh+zbagOrudLoJt3q+e4EffYN2MrV9MF500LrzvXi9VoV/761Z6PfweHdXWs56S4vecB9Zwj/BBbQAnXHrdOSn4M/MQo2E0VjaH+rrz9FtW6DAXwaEd0sfe7VDlhfe6vyIeqs8Gqy3ZdHG9vOrarr49z+eD+aSe9qlDPcnp2Z7La2cdartmoBdql+A0nsBXmaUGDVL2tGJxIAFvnJphkm6CqnbWT+rYOWTCesc3GncpHwlnhXrxsgPPuKTH2y7FxmXh+ggaMAR+/Khl+dCuwXvYc1xQ2xXnN8fPKhY76/Rg88Lk9d4O+NOeF+sxEdXxekmXfqanr3trdJRKuhPH2+tMb8VPX0/Jumc90C0b/JuCdW6jL08f3++t9K0H6kH7FTra3vPwOqegNevx7IgFB42tKXLRd9aDLj3eSDmaKTu+r1qTzeUSXmQczmXxd/+F8tDIPFTIxrutvW6H7kCZ/tay2/OQUoLtzBvigRo9gGb+rkf4HNPNYkiCNHosqZzuh3j7TAE/OaPbPJx/2uFrVrK8AAaBRjJ/M8fzcXu3eyVz17Zfwr2S3ZDL5E6dyWqcVRMnV1Kkz/K4zqq+y1IzfUsGnPCxpuBgu7YonQqJDLgUvN8NdBQiwk04w5ZTFfjW/qUBeO4pySVogQjdyPjv2fIk2rl4FqHZS4gOe4b725f0BCrFpagdvy4q7P3meOP1yeZ7qg60UMSkznUoMhpNuRZfC3H8H2DmRf/NGbn6uQFWdFdPWGtHiInnDuhwwCw6PFaHaJ0S5/rIhuQKXvaYfty+0xOx3sHeqayUg9DvfF3pXHbPGyt7v2pCH4GmW9VLMuVG/8BzvnjZTgwfwesVFHWLiOi5Ahxuit+c2hPBepWxZKuft/5Q4B0HPyENbKgQ7xruf4Afs72VVzZ/jdmeAANB9Sk4ckydPAKPATqu2XTu63xeGBPs7Po6jdW4pR4JaJbO5kfiPMTXEtYwd9MLRLC394Il3wR+Jm+hDJMMNBD4KXhBIR50/+Xnw/pAh+4kwzXnw/tDcbRK+/e/7wL05K3A8C5hLYAfUu734Evo3rkNoCXKyklc8F6fbbTeEdFdU9hfO9TMoOHGPCYVfP5dgc8S8LtAX+ZZEcTKJZRF6wqwusi8JHzlLVcSnWvZeC3+N+cxBrzGEzHiQUy3yk2gGjR9lI5SOn9HDN4h4ejCYW8QJjIZikMeEpSOHWhKNSkBntQEB8BqmzNYqAK4t5+qP+x1bU4VvYFmffC+h/jFE2X23svkmUPyjDt+g6ctMyQAL63aHivGpyuTtt/o15wiWJnfHggTaLHQA9+V5aAZyGnr7NG/ZyPx69wmyAT45VCAT0o+KohzssHwi2jQ8nUFPAN7twGe6l2Jt54y2QW0SaROIuVcC34K8ioExgPc49LmcNE4RxQzgZNW0ntVCE/Gf/k2SHmky73ke+/xufSCgkcTqrk58fAL9nkQ68LmXpupCbus8egPQd1MbO6wXJ+rWDxLkawOTDiHjTnQvuMZMvy3ZsTDpC2UvTt+3esNtTBuM2b30qPxQdJnijoMz6Ooi2ZZ2D7XSVBK3FFQ7oCvN9KfV6BjQB9NAXAC0psAgR7xqSeO1SIO1UIvpVCoRJ1MTx1mcffyRNe9Vy5NdLtS8G+NKJ+NM0XgQ68KULcuaMaWfqkdMuUWw/qbTDcYuGM6sPHfXMN7LpG9L1O2NucbuDNjiPqlXOe2XjVzEAZ+ecVGLsauyx1qdcsD1vkDvOxRYJNWEGMpR+C3kwdoU9B0QkAcX5mb3AT8alV0TzlSwLvQ5b3e7hyIfUROIrz1Kl9/0lAfGEuK8vQ33/zb9joCjfpJPL7SvNta/q5PeEUiWITwFlQy9fNN1wtJfN3fJnjnz2yhKS26nwx8MeiKsFnMrQIO0XbGG+iTQ5Qhsug3KkwI3v2lAToaUo8N4il7/Wnncx2wKRsGKNrTvo6nvrS15OHZq3uUa+d9JeLJVWK7amwn9JDsOE9Xkt8YuHJzYL0HevutPAED8en3zqot/jR2amsGiLwhxm99LunQnDTbLwFw+brQo/4Wlk8GZGRc3is+u2m/hf/9jiSgg5TA/7Eqdw4C7Y9YufT+zjOrGk9v+TDzmmeeltfXea+drfKjQ9/RG/IDfFfa3lS5Oc/2LAs4dysWfgEuWXJxdmz+RuWcLwfAwHyDzw22M9fmPXxGf4D9KaN5pQx/2BmnoDLeIK4X8Vy/zqNUNqw3lTOfM9Ctqtecx0bl3AA+TUnuzuBpwRvwiaSuiGVYIsqniEr/cQC1mML+Ujbm8/dlh3RRn7pHGpagYQENkKmyfv1oJXrhBqsxnulAnnVIvtmCP/Uwbyqk/Z3b7Xh4w6X1d8MUtlw4GvShlObWRPxOMeg1Z71jJ0wBs2nlEgY8uwGOrXKJCuB5Aevkt/3fDOuKF9ivhqsDmrKi/e0jj4EpsLqkxszK0LsCzKqP17ns4Xu4Scoe/5d7HImolMZNBXC4IJOwnUGcucjd26aK/z1qQSzOmbbXrzsOCqvyYIB9lYvC7BTgQzjlXJpVNtzibMRZJf20PoljzX1PRni3Q2YqPVWlkTPnjETgA5yqX3+Uw+PZSvwmN1vwjdrmWcp66PzGiNeszB/KBDlE7x6PwBs6KK9OGriu2xF8tjM/vNIRH7oIkYhDXwxrTsNZQHRd81Pn1uF8zF3qVIO68EXHoGvB1zczM83c2po3HCg6TPzvHNsh+9r1/TqcOgI6V/UCtIKJ8xywciOiCpsCvOtPNXS4CTXsn8BXGyGZo1Ub6sTee6ho/V0NaMsl8g/huqgiTOoRbzgLctEL8YdRfXMp+awyY95Ak++sTgPNOFQRwVWxnRWfJAdd3PD1wsPzY4++/Ap+WxVpiDG6svMDquEd/AsOS76eM6P2kvvfPKbBzrndbU72Kw6Bh3I5JP/16QlvvvKCo60ZBuzaln0Peg/0VZzcsxPutKuPQgRdg8y35TTgjOfe8d29l4LXMIWOk82B4acoyKqRye4Q3rY8XP3lA7ShD/pByAzhWAshst58/va1zddDyiC+l+B2EN1dxV9LHutB2h5Fnu5q06/oiC/CpTOP1Aya71ALm6ONTu1GRcL2IJO3jRLBy8Pe6KgR+DYG7zmowNc0wIM1t3M8/YeAHwX4mgPWHWmIMniOtPRKN/XO9kw5ULaXNOg0GaJARuLYhJRJk61A37nwvCKN9aUdytcdB2rGJDoU5AA+/7OS03cKGlt+3IZWzqZBPeiY5qI2W5/J7Z2PnapsrVKRjCQKn7mjU3XSc3N8d3PvyzlESpBhFraHlQ71N9/gDynIa172qhVdRjekb9zJ1WEGMSguDSJnzjGXfXkpTQL/0OXAXT/VSRkiv+ash1jvfaJcwSqDD6xIOuWig/D+IbUEe4jLvRwmDOuTlNx/4QbgbQk+Gt47I6u9zYFi4pu4Zzdzvx4HfvUaSe1MxTeIzYqHk8gXIRrUPMqx8QTGh5z7WMQBYdwHbYFJtvx6vyR15j6zMcK7Vw2C4AU8GMsuVdg8ebQOdCxUHXUdxPNJLXRsDAGdzx0Wdlj39KCQvlUO+s6LrlRhZ/IefeglsJ16ngpeIXgH2EOUwvu4MUdg6r480e2sueM0oUoaLGbwNg/R33bCXT1U0Xi5SBD83QJ7BjcOtr1hDzTsDqVMloxtvbwHXzjcOlinNzVMTh2rb8C3qQpnj0ad7ZOsyPiqybres+fVbYf53BagsyNj0ue7n2J1Bc0UwB+5d1FpvW/uooEtIqsx9QErL9pdg74RGLZJ3tj6+BNwxAaDjjIbW4t8YHrWmPzQ4m9u+/EQTz9Z/m5r0ih1fdvX057r7+nxhmz+oAjRBZzXlC+dq6PzDP8O+Axq+6O9tfy24o55Owj1U8kvv5Gri+bzJyjT2c4l4dHWkyfx4i/Asit4SjyKE85EP79yF6k23SKF/qBOR+DdTZKZb9v7QtpZcfA4xNPfgMvj3gF+NQLLQVfNQgs23Pa/WMD+2bm231VMXvVEcxMJVHsB7A0MnDDtWRGU1cmmLaZOOjxmYWsUlwb8bLbA5wetDP2MNd6BU3UAPlZYU+7gFTsFu19fCRoV+NGH9bXa9KN20Mf/6Q143zY/eJw+5OnfPXNAe32s0yYybl4QA5ibyII8KmlnAYjfOsTfs2CX5G003SoZXoid5QU6tB6TVTsmH4CrsM5r4F6FU05fz7XLBH4rpXgD3XpoRooqpuxcX3fvTga443YIs/vOmX0ePe75YIR2b4Htgw9clBHXHw9hN9q7+HZMVzy296Td2+FjnZWuMJU7P0BP/eXB8nhy2LIFnY1umQtxGnZdXaSgk5p7amzPyNAHz3BpnNVzt5iceZPYueqa2vmg4PHz6NbzJfnUeLpSIVJ7R6QH7rcf73fCTKeNemnssh63vi46XrPQqbzpoFgG+t3/aUcT2p4/qZypQl/3Og4f2jMhN5OtV6WNoTHogVCckjFDAtdOIuwM3nxAnuDTrnRuge2D1QBO/p0DhNrWNwSVF2xZkbqlQzjoy5MaEo/i6ZiZ3qsxsf5O0iJ9CBak7QZ4GgebFPg6jZPvxs77knQse3/J5W11CBGhfPWoRu3BO33l6l9S14TUoaB5zd4OM+SAYSo0URPhTWtRycXAnzgBP7EoD55PUAwYlFcL+dijzK/GaVK8e+xckdZW85yCsB78Vcq7QMmu0N70wvk4e94wdc7gtYIP2utI42BXu0K2xs5qBg+D8K5xxcSGtQH8+2ajVnxDv9u4uQC/u+DNgQuwnaDw5Kd/q8pdR6I34d7rH6KYgNH++gSGevA97TWrNqQJ34gzFxr8cfeTGv2WjuJNHdcIPGvFe/ytxvBBFwy7LSlsj1o5Bi7Elt+yztP9/ORgpWmYHA5RcmsHYgv7P5oQvc7Md81/+VEe+OUA9GuXjoq0Q//MQGce4sSvI2HS8BbKjS5pRKxXezIPnlsiAbjol2KaWP++gJ598IJ+gI7imdx62nAXYnBva4tfdRy5JB866u6kv9ocO5tbDPGyHuGdbMDDSs1v9jevmAjgndi4J9NBdkvl0jvg6k9t53B5oLNHOz/ttmrcDrDYyNrL/MYl23ZjXr0IPknk0yokH6DWaeZcV8AtPwz0U8voOS9sTQFm/GP9VoF3qoftUtpZUSjYlrKDndR92l5voOG/K56EygirsV3QYJmNN8K+Vun/9Qg6VObs7FwqVISdGqtD9bzBbxUXAV5ORtOHCMtn7gJ7s+Rcu2rgIf7QEE/c9t0fu20us4s+fd2rj/VIxBnwA8dsDJfaBaKOccz7v7wU8HrTrY5m2sjOaJunAL6zjUXWbro3Av4esDlgoP92CG/bAWJ66UFfNrYXEnjrrpeRf4XfaIjV6NHc12iq9g4NgSMr4swE9MirLnuv3XChpyRhLj0TrxsBW0B32xlDs2vn+u1tj73hDPua2j16UqfUoSxbyTghBKiVIrXV5h/gWXNvT6CDT92No2SnYf3bTfhoiuyvDwx5voP+4PdS0k0d+TIfHnci8VIPZgZll7ccWKpIKmUgfl18rrjt27xmHLR57qhEcEFzoQsm+oedD1U6+krR9ClApxIXb5h7fvllU1mv3SuvLEpfj5RUsf7MkEkyQXsO2ola7eR2sing+bzJ4SPwe6R9IvAD3qs9Ybkw2Z0BwzAby2e1ESOJiWD5elcZmjAuXj1MeNv7T4HJgS7hDJ6oLHnyBL26yqyH7VEC610BJveVnQwaJgTW50Gf66SJfKU9uilHvasH0NabZla5vd9MV3nUHWgPnu15SzkzrxyYtFp6L+Oqa4QqYU321aIQaOdLw+i9cdAnGcgqP74/eb6eMre357S49jSjjnDhN29pIajG2cy9ADwoveg4eGaurekwA3FVnDri1d9mJkiI//qzkFRvyHHvvoPuTu+tMYK5/k91BB92vD4qB0dsgZjH9AN41ScutTPR4L3aeio6cAnsLH97G+wYC1a5QyjtE8zC9G9mkBD6O8UE1mI65ktg51kj0CefoBWeNeKIezRL46kkg34jg9VZ6lK606UBXmuGJC1d0JGb8A6YPPLRFM3H1SdSXzPXxDVXF9gHL67sFegGFYsHKRToF/WfjpJbF9ZwAh1/O2yCFfijS8uRvW875CM95NH5eYjOqC0S3IKEYqEmZHgsgJcb0FOPxuacoe5TRI2T8+SV27OQCOVtCBjuZTNw0CNzpz3sM5QbEOvSR3m8nfP/YW0pJ68EXyxxg3Yu6KwNcWCPOfD+P+vC1n2JrOy7oGHlZecZeH41lIABr3w2258/ldjRRjxhX33IXm1hbXZcdBfuYsZC0oOvtfp0zm2dPW9cBt+v5HnWnlgdIn+XoW7QJ/BhUTKkjsl5AbpopBlo4FIj8fourxLJoYmmM+yjB8R0rzbJm+0ZBzoXabn+yDkuq3CNbPY6x1uXjUncRlrZelJlvSFTb7pI7rlLYb8lxd6zfW6SqoE3nRlYW3c+vc4ByuF81wj3B9s/aqMH5qAj+L4w84JCb2xPQTsToHuDz10dpFKU4b5xFGhdfaod4Orj2qlPoBnAe1bxGelFbPkpAM6bfNDIccv/ajl55WnUYLNLY4NA1/mlgYgTCbxTOysAc+qpC3DpmXAB5DwdRaG3jUcAk+h3XSQX4qAJPOQEWuZC0Nbbu+pxkLhS45ebxt13O/zVSW2V8/4szZTlZiJVhBYikn1uEiXcx5JjEoNmSDOZ5E1sIO7BoxfkxuVkeKGnvDc9xyYG7XNQ0cMnmwz8Feo5FysaAYew4NQM+DVb51K7mFCsL2U/R6khpBLNsxHw2znhLO5XHDRgNpbgxxRwX/CZLoqB7hwrhxwbW5MT42vLddeaKWUMotz2hHJmJw27PgVAE1i/6gL2gHuwR7pcuQlwif6teROIVHSTPrNFh3IkP+BLPlNEe8BKVcf4u+7NruVklj3dpqi57Jwb7HvYjxAvpJ/fSCh6ePefe6+0+Wmv++WBFHQuTY/2izlRx56hbJHqQ5eyYEsXEGMjPYpF+KXrR5mdAzo8nANYYntX07g30kTrm3Y6D/zqd3YKvqWB2FmaJymmUi22T+T8OluehHO78gKDL8FP+Z//WsDlhs3SP2uWPomgKRH6kiEcMjtfDzQBkcLhdkYy8GcKHK3kmtUS/6/mmFwbrOUOMJ4MoWP7KP3feZQQRKob6MOuEmJDRnNL2f9qgo/rgeS2J176AK0klcCo9IDbN9pTXmd7JqfZQlEuheQRTkGX57BnVtJGQ6wOO4fcK6lfazjRSIO8DhJ6wo4yHZJxuTBw9ba3sxpQl4L/1WYK6mgaIa5CMSagyfnMI1KmRXeVoH+B+0H/K9CIv3f8b4DDSe6CMHWmKP2/uZwXPtKIofQCf59XXBwa03WsgPci58H2jPzNnWP8km7MAn7G5v2E6SJAs2jEBFkO8D4qfF7A34e/5wJFR5pNEMB/X+Ss2zab7nUuykDFCbkJTnWIU1t3UMmzKzb4TX6s+72X2px3SlDXwTvKrOchIylJL1ZpuIZn0wfYA0aH17kdSUEKfVeCvh2K1N8jPCuTIR3eXrXSLC16dMBJovG/Fax3DCT/w6Nkqg2N0hF0NVaqLRQnG/oJuB5LhuOU63sqxFwb4TCvX+qIJDzs3SZUvcCwE8fSpxwNgLW7vBevvXy2NRdZT64Mm0/l4i7vt3MGuA46f58Dg9egEVRI7ypM7rb+6sAUJbjbAv8fMnh/pYM82LflQSapOP3W3X+AXv7IEMntHBi6iFfOkp3Jt+Sn7CnBR+UuSXNHVzl4ACb1pRp0LkA5Mw66FzQgHc5L5uCYIj6zjTGg4RDg52cj+D31zj7n6lNISrl7W9pCgM82ufL0K/dgkNH6B7zMbOuDiJckoHFw5hg7V7ZQJ/2wtX7/zeQCzxGCT5Dw3Q7qeOhv2x50XNQ9KtB1dYieOTeW8z5tnyIevV8OEfpmG/KXV9kgtVOuDkpbC110tDX4A7SfL7jjNhh+r7QdLMtVK/pFbrivwXuIkChh7+5PhjUse8Ae/sgG85E94fM3ZgsaK9YYPE8//9i8xv99FyahGWvQak0EeCN0lx3Xkc3DqKQCpk04H3VYF+KDO7OhNifRXZf2DgM0+DUdjAANkzd8nlRk8wlwLKQgqjg/f/NBbL/K/PbSG0XDsH8oALcBnzXuL9rgVcbwYM/bYa8gAo5HisTWmJW5UJmICWin9Q68TwRW5j/cEd01N9pj4Xyg0idZoa6HsHPUBoO+ed1l32gdi6py0BXeCakXepTcv0kDfht/rXLreeLQh3h8ipBfygIvpMdH2I+cGvDDJinrHjPKpwsIE5dI20vF/1bPq+1Bc2xNsucD/ev3pTb6aPsdgi4vUk5wJq8uF2dERljDsPvVPodI4TbUnA6mytD5kY3BPt2oB3WRC9yAG8dH9HkDzsa/548V/A420id4NtsD9OW/JBnmoimmFbznpBo7w4ouB+wvuDs5oPFXZAnu6aBVhcSFIdP9N+NzNWv5+C+nnRt4vhLx/DYII4LGwWnt0Sv4159shHUFD/ryRAdewv6nTrqAVkWmEOi81DzZQBxYXEjkqfM1V98yQqXclEu+Se8smhaybN22oE/Vd7H+eHdzRsDbnZ92pjUoBw6ROOyQigHXXzUIfW7zacevS1ukHg/pj4gz+K7f/hC9GhMiQp/rhRSge3GDwVOJbl9v8KUq/i2g6x9cJH3K9Acbpq6V051LH3S+mdqNWjGuAzGsX33nVNYjX5xECPqZ1ksAHD+V0nROZZIUNFHVAruAv5rZONm+kTHB00c+Bp92ToHl0dx0Ozoa8AHkJgFNc9s33Olo3ZMBOGfFhr88vVhGetWM/1ZgDx+59COxCVf2rAm48zN1pl3TJ8Af4sls3yhbL2RnI8WB7UdNQe9N4EPmmhtf2/s8YcBXdzlF/UoO55XiKK9E8MIoTpZmsfOpm3Cq5DBz2/FLnBQ4JXIWLikz0DrUmJ80nJM6WtneqWDs8Al8P+CS86CsoxmjV/CESyl0BXs448B3WkxWk57oJnvlA/zU8I6yQsgK4lk7jaOf7wtx/QP4+qQapk869uBxp1JEa1KF6UpENJMxKC5Mg3yhBS/Mjnlg0jfbZzrafr+djXW3WYyXxiQAHfQ6S/lmMYmaUKzAFxhtyJFGyQ602K70+EIdegS/c8nHxNaoAIBvvVp2WG8MfC8JbG9fi4ulF5QkMvggSvfA+0c9iMzuMYuFTY9f3nzauyukBOhhc0b5OP3ogRwFT3JqAH+iebY+r3ayi+2ZW4VJ1gC2wt9xclxziMknH6ZtKtc/dr4hxATEFvymTeDDHvUaJGw98+t9eS1vfmdVCT5fdy6VFQtXqev4FOS7iPxUOfyRftyOZUELffoCz5/eSZG5tn9PC76nlLbeH7xaQZbKmLEptANYImAfuXnoX8GXvvpHGf7x7gPXDhrbnvFbN3fFTPG/h5AYPMTUp1jlahR9WehVFXUVYJntz5bzsbO9Ow52H6dFcqrdWTS/eUPrTW7nw4XzB4uDH3C2r7wvWwMIepQkaXRdOFPfSmboN9fK9L4e8TWNSnQQimaeDnQPmOWZlMb2rktkqUedQ76+kYh85qFKdFjOFTN9Lugu92gC3rfgnLy0zYUNIeLhDfET+PCT7nfP9Yr0Pq5M9wO6Gxz0VDSjCjVKPgFXXMX1Tw4xm8pENqdkaAVfQA/FeWRrsLAjo99zgV4K238H+GXoXvNuxraw3zXNKuwvgvXw/taX3Hlc5PjvIm1HBiCYDIVLOaCZGM2JvO2Az74hTlbUIWeG8Q7w+ma9DjHhXJ1wrL2zp6LkRzH1I/H2726UbmzOSTdVzNZHAh8yMdn4aSF+uK3pZOEjH66r2ukSwAVcSURBj1Dt3jDgDMtx0vHfWQqJp13nLpjN11oD0KGNlOJB/y9/YwuezQH8PLUxPRO3i0FnpWITnO29f2mrg0TmVJ6JD6J7qEg800j9tEI8aWwK7pBrZsfJ9OJWY3Hm/Pog49mv8SRAv7ng0Z6V1/2di+oI72RBgzTSRT2sP1mEP2qUOCkOTvkG/CW/fROW7GqHL7mzzgFZYuVaPzile8ALzvCpFed7iYjLY33Wi7lrrJ6A5SfwsC5x6Cvn1gWtcmm45nwj3tgw36oxAC8mvvNNA9zgg++yswzIoR1Ba2DC2rFxmUniMl8fWjk7xBBch8BaIBVU0a9K2wtpDIitXSAydRj/vz4VbQSvKpzjkgmZIzt73py5tHN1yVHb2pAom0khhtpqGJN8w7OdeTz91GB9wYO6TKiVPnU9aJYJovQN9pfKhsZPUfBZo6kv2V+OWUSFymm/LgnX4ENB1y9kPghq+zbcwfOHLJopjbrI9kxkjAzguc7aVbaf3FW4yqGx6mxP+b1bop2nbHZbXBuF8x4njTRj9n+9gmOFcQney54f7VqWBOXwtVTHdZni5JQPtociPAc3AWD9rTLTlkYK6R6tymHrpU65lGO2gCY2Ks4AV2hxiBLS9CTmA75IQ4zi3et9/dbK8sXsQRekcqSn1P1yKm7PafROcjUym7tm+2ZKhVpBSc1nDFh9ycUE/kVMZb/290s/a1GCAcYi39Dv3NVb5awBQkhZe+blHVy26YCDlK03Wx0+7LwHrEpn7Qpn5rmj4maTrCRfp/vn7V72GSqL6aPB9CkLnVNZLnok1NYUE6YHibt9Cf5QSltTIJwc9nE2vM4qr3fQQrKCVWjc810N/E5D4GFn3pORAlbMHXFpAjyyL10ft6D1IIb6eiSZsLUkiPLUvZ05yhzNKAV/fM1Ba8KnX8hGPBgq71UcvLB3m7NkogA02pkWPopreioBg8u7jN79vbtebM4FcdYLGbpbHunPjKlP+Bw73xLVYrpxR4tsWDk16HrQI52KZiWi7l4Ps5BMdVwmr+dCtcEX8Aoe+PWLsv5Mzh91OAUQw3nmTvCp5FCCyMxOW3hfjVcOhMAeWmXj5OTh9JnxKbVzc4Fv3vYefyjWz6TvunoA1o30LXO3q7/3FYNfGuhCItDkxW8/GzsnDFGJPtpNsAMvCpobvO8msXMwHpW8PtJTgNtTMGfu/MlPtFP9DHGKxjoCX2Tz8FlnRBHsNQqfRJpXr+Ccuu+IDmIlAeeAL8CPTWlb6OPeFeDzk6cuqA8c/BAjYJudwbZJhorpUh3XpvQIB+4vmV171Pgt0z3ZmE/w/tlvvhvDT/3x1/8QOHH6puCX+EnB8/lmtwjMi2CXC/LTiG7Ye8rLhYD38juj6G3nTScemi0XKoAYB0/027dy18Tpo5arxyG0uY+/vSXuStr+h7eXT9nlwDF0SBbqJYi7cy8l6RVoE+5MBz6CNPKm1PYMtbPqQPNPDTf3qsAJYAz4R/JoYju7q7d1pPDexPMg6betra43yV3GyZn2f9pmBO/Wpx9rnoeoamJB7FyrFjgT9vsd/pxTTL8p+M02sufTwDAGR/VwA60WHPKCpHzBue1JKBngc3Rdgc457lyVlKI7VwDWoGpfflnYuTg0uqI2uh1/+6ttGvC8/N4ebxm157NWjzrTJQUnB9rjmQr6Y/GTDrfLIZzi5mT7t4bP2vb2Kzo7LyhSnL5Rj97SEHmkp6972GNta8mN7fU0kxp42/ZNYU56qcErAufF4N0nKilJQ021o/fKUcEO9c/aSRIKmg7ilTWnzIcYux8K0CGD2OqlO9DQzq8n/W7Rr7qARODJr/sQgaYxzXENyN5NXE43+E5qMYjHguYcn6WwuUF4UCyQPJpmJjHobgr6g1xA7+/TQoBH+nqkQ/KTYnOC3zamBV+a8TV/+erqYe0Id+UKN/lgOPP2Ln2AhnYgnp+Miwv4Z6eR2vb+G+rwAU6SjvWp+24wcZuQrCDmj2l0GzmgNd3oKY+6TTv4Yd7rlT3fy5B+nWNTzaePqvcN6zXlPPG4mz7tmUJZBDdq74fl41FFwKmYgqTC9q66TCPs2TtkO+OlDUkEz0gAfwYy6s898F820E/AriCHVaK8+993XR+Ni36o7d0c9k8ZB5+ZC5ThrsEjKAExSlWhJ+WBvxkN4TH9AI7gVUgnhv55Il9T3mPaxrCPHBLaGtLUEaeqICDQ1Vxy5ORF8OKvPfnNDVtfGXhkwAkMWt/OxcLa9tiU0wcLUVgN3RU0HXg4FQI/++Jj3XNQSkQEdk6hD9wJXIFjFasjaJtDutHnlKmVLLK55dNrLxtSTFt50mHdT1ft4XjvGieTyiXPq8MHoH0MWD3gqi5MqJbyIUKEbU4+M2ZX8/Rx4D6386rS0dh65TeIqQVw+1E9bzQFrWPvnf7ORYuE1u76WyzW42aO7BM7dwk1WH3mDvhFQfb5APoD8xk81gfw1pzbnrRe90MlkbAvitJRCfOoS4bEUSZhr146gkHUu68eyLdZDL6gI33NVcr2rr8TsAZ2lo71VwfWXcoh9ETYFRCzgKiapWHHmyJdGKPfDQps/64Y9GsFvqundqbHBpTIYOZ86QLA/dd3bYDjZSqU/K8GJYM4xR+lR1Pg6mvTp6DhhE30i3RIWMmTB42QyYeOEgkcBF67lLa3qLm2g15KdxrVCfjoRBKIIfDHUyH5/Kp3OFYIXzlwAOjNj/aUeof/6hjPvAh/azT2DjqBbpjbSJRVT0R5XGPQp/B8qzv/uNn+LxeOkivo47PEqQsQiMg4JZLTHVmIEv31pQE+IK422umIcJKASn/X2rnftlBnMdva6qNIldquJfcvjBnwctQHfgMKxEvWo1JLythAuL27ZIt2S3cGzhVxHT3mvZPs64/1awaNp0ATEnf6BiWXZYPa2PMt0LI/eZ8tNWCOwJmjjreBIQLfQUol1FjbPNC+ufPYTI2jwNciTMJuA7rrDXZFaedCUI4/QYvtlChfOF+Vp24ADz6IUL0xGSJYA3uHHaZShVwaptwEnoHSVqh7znQsmAGd2vXkpDOIoW87t0O5wP3sn8e9aaPGwIffM8M6LhXiK4rEC6NSItc32qOcOwLb9eBeB7oNFDcWCrT0d3Uyb4DUKxG9o3ohDLTAhi/ZSjuEg/7aAv+mjdPl+WhGESVnm4tGndC1vfBKTpfdgl/PNbSA4W04ZW2+BlhLL7b/uABN1RolssXeh9F7G3Y7wMcTK8yByvACfE30SVXanhecgkEs1BzCEDUn44N2dsCnfWocfByiie//+mNf57S3XlMA14crufm603gqS3gW2PfeAdO5Gfy3HVIeQ92pwhOGfXHfo/Oj4SpohPBTwy+pg11+CsIsvyISdUcmr0+I4wvs8VVa/NUv2950vZ0vCFZ1Zq76OUSwNi56AtK7uVwHrDdZybdOunTbdFBdY/N1xiCrNiakYfrIEP2sluDWnLaPZlG7vUcyYoIeVEuiQ8DHuHf+9AYCT8rptSnItcXJr0eqQ8DWTXjJTjQBPXpguAurWI+272PuoOF3FnmsTf5xSxvPOJSLJQ87AWuxU7L7rB21kf1U6d5fbL/t130KAf8jGVWUmyNYnzcRkbkqVCL6SeSYcnvmIMbkDL6C5797XV3TgZ7rTdfnxdcsRt3L3iSc/fOlnDJRCK9x5u9sSUB3hzYP/n857VeH9H7PYvKm4uCR9z4W4POq8LY/RCJqOL1lhXiD3+7p/vG0uVXa5u5vkjktDLKzrOwsFrWIDHDKI4B/da+ncukBw/GmxlRpqV/5No4ADcgLvM3EBB6yQ4f83ScevH/v675f6DaVAjTOvzt3SdUWGUqX7aoOEwP70Nb5fjeCWCZ7s/1RDxH+5uK8EPgu8NABeJYrkfSVj32qMcQnM3N9vN0V4EklprEZ7NybtZ2/CFoZcMVTqi5Ag3kTcE9/qZnZNDK92PO7akO2epwCKb5AuyRlvtgp2P/uoDneMknCOpr/5nJqmUyg+ZzGozSNxNb27LNYy8LyATyXZwNwoI0pl34wj9g+IBnEU7RD3Kkl+ajwPx/c14piQYiH3xjCURM14BUBcxa6AS3+9n/a5vpkzvmRhmuebkxVjmog4MekMGflNC7Ilu53Dha2OWZ+2eS3sB5QUiL8kTnbB2AHsV6DYcOykRSV/RzZbcAb3wF3dhVK/vrPVyb5AQ1OGhSizDO96G837VAM+xbiUN9KYyqIK3vW+pHGvQua4F6ftCIAMiUC/yPOTj2sTS1xXzHbEwkfczO5wO0L8O5Njn95RLtDOJ8bHt7ZoBZ7xlSi9KkXwK0efQKFPwC3cQXeeOckMeCo5dkUMDIG7XLMh0mQSFkMkAL+S4GDrg1BBBR0zovsAly4yqPmr2+P9aHgaW906P32Y53tHFpoj993ngZtPae5wQfQmjfwgy68ix383f9j6tq2G9WV7S9xMRntxyZGYGxEELqA3gB5hIDAxCY25utPyb2cfR56jL12umODVLPmlKpm/TfXTBfE2rt8lbgccSXEZmUB2pcOdqvBTpoCSeBI5iz7ty+AF2aeqDxLe/oBvV+mNN7nzvaWWXqXsa2PizjNh8XEXav4X4fS8p4XgNGG6yDk8iLOMeg/U+0C/9ZOdvGd99uEOh5TIwbU939rRWCtyvTXi4Ab37mJ9qg7hb3Hi8QWgQ5zDroH7e8l4F6ywzMktKIWW0ksG3Q8ltTqHRzah2Roy2xVbxh4HfCSNQntUFn2r480dac3OSgbnuWhHHXOV8kawEShm0X1xDI1AWm+BZ5Fkgb2o9Cyws6nk7m+pK5P06KNm2haTuO0JCK2js4Z1glydsguh1Vv0ujFD+cW8JYmxTRShxhdOiQs1pS1wF+uG1PPQ7X8ofzlxVc+PXLNvFIayez4uEKeMz135AGxTtNwjtkKK+L88bIRsXwFvvrYvnKKPDjxbPIHDea4+Zp3KegzGaod79ExM/fFyPTaxh6s248a9hvsnm/G0wL0wQPwq0rWxCPCsivqb3A+902HzhzFH82K3pWtcA1r/NLmuDDnM5NrvMFxcTb3GSIFEtawz0sSmFlm8gx6aIORma/hJ1UIeydQb5IyyKvqwtDnIlFil65cQQ8dKY2N13soOilosPigzV/n2OeamZp0iPNAYQVMonLI8WADf4raFHipcwpQ++wDtk09OuR4nZnYXY+WKvIA9me4OFVgPQizfWXrA/BGL+9keerIm/GKA1x5cZs76yfjzfVW9qY+yrsAv8vYY3uuOn6vep5WzEagxcdc/AEtsU0yMe+TqD2mAg808nciVGdlLSFoY9NfuAFdegAOCdxCw97FB+V4r3OAnHaSAN+JgVPfgOcf4BktavEK9N6Qm1pTtr2CrupNrQHkegZ5IGtYXNbO3BIBezK0FtI3d9rF14bpCPJKXJlxowF+y9fYpT1+3WW3vMDvGdeyEczhXQvpECV0LBcprq7xbUwgl5MxNjO2PfXYMt57oCEZ6JsekHlOn/MEe08mw7QxdfOmHp6z8pKamRvj3w1gxeO3ztyy4Z0bLzs9VIy7aeAFtGdLNeAS8Kutu+RRR8Y/ZJbN2INWnO44QJ0s4p7C2hlfLOBgoOns73xsGaXqeHSbTYqwPnHfzt+3r30YJ27g5aFtmZmIJ6r72v57S0CvgOZe6lX/4P6/cxprcauQjJA3jjnkgpNuV4if0sxMJ3Z/PwVbm/bTd9bHbsL6B0a+UGIpGuq/7kY3p/6Jjz2OZI65SkFH9XmAZ9BOd263Pqy/TcW0JvbeTQSzj3Z2Bz7/AXjhnUKsG8SsBPGdCLbHUqhM8An4qC/NLCTs6mcN74uz5RGoIVfucwu4Z+SXCfDmzEIpH7ggHYPPiy3G1bGyQV3A8+ROfHjeo0fSPrgTvI84qun+crBN/aeEeEXDKSIBfVxvpqaPB+R/s9Tdz3vN5bGBeMIO30Pc6+prG2JEgFMshyriXOz+AldBAXDtH07lnkdoIFG7CqYo8MBnvVwilgniwOjpouqXN2WZzwU+y35nBl2alU9ieHoYvBPACuwSU687g1I1XkI/+QjYpMuH7PBUdZB7WHaTvfdTCTQljunftt+f92FIR7xDV6nbBPY/sPqJ4Z2cM7F/1S0D/8EQX21cFnxX2XxXC93ysPWaQS4imFdsZmav/mR82E3dQWLdLxKRtaZtCOv1lhr/NtcnOZUPwdDAWX/DI8lU1z/qLrgkkXrVbyCzzyC2UWmZs6oE4mqLT6g9QsglJeMV6IMD8HpUavxQph8haKOGI8f01Z565h0de606wH+GS+MZgEf9LajBej1Wgfdei/ZVczuCiAQNEM9M45F18U/WoygPt6Ax1QexCVIdqHI0+bWjz1mPL4QC/+/QLV+5r8LlDDrc50geKUNmNuke4uxd7CDdFTym4URKgJUXn08ZDlmnb8yWad6jAnj1MWPYknr6IfCcCZ9WWQT3pOsv//YAeoB2oICJ4dF0fg7zre6f97bvGZu+yA5Pacgs4li2EnuHRvHHL8d2ZVla1oJFjBrH+66+/twEg/xA/QPw1r2CODLzkajxi3LarPqas8ox9+efl9qxBek5T4I5ryzv/aQTVyC94WhKn7Umgi1J8HvnmyU74hPbB75mf1UR/kq+tt9KAH/gbYwttID++qo7dMgLpFVuvED0Ed7nqIb2plwSEUomw88qW+2UjQEbWvPO3wGzl3JoSRX8zrD+IswbSwH5d8dBS7fwfHo+CeADxmtMk8NT2yHgNxYys/7eRY9JbU2RmadVhbI8OPiHgQ7IzYzJIXaoqzPQDAUNeYY73xIBetWZUwm5lYeBzdjZ3Meu9P16A533AN2WcMbZKVQ4Hzk6daaurr+RVV05JUnN8Y4OkAOE/kmiiZaayLInMXtcvZTFcVbEpkf0xlf1qoMFPW9yVbyvB45VIXegC1OzN1iERRVwWoGehf1gejY94DnstIPP6pAP+wgf7ac34TnptAM64B/XCXWkHFQCF38D7d2dounlvwH79G7LETsG8+oRvRGH9DL8dA52APnrOb+XCt6WKdteqDa61B6BoweHlTwObhzyYrJpsIV8vneP9t9V7Yh+zgZx7gt+mLMk+TqPShi8V9nbB7bTaQUhIYpmNe+njvywLOB7h6qowvbBgqt7cJZjzoBDuupaFTqVDlqV3b6XYpkBs/J8IDQJgUuEf6xyBZXUA/fd+S+/5RX4eMk6jvPBcptgmzYRv3JmelTnO9eQn0LvvbHkAYczCIR2B/tC5h1odWsy5buDKPCYIOBGYRvXorQgTkx92hsZkeFNSeM0r3vzCDQkZyNZeOHjE+PXzJaHZFSXiuoRMA+J3jtXu71Tj1MJ+4KVA+gT3bvVCLH0z2Pw/amBczOTp4UcrT8qJ/BOyEfVsP2WjL3ObdJa9C5w1B9StN9Zka2kx9+086/KAj1mTRsS6IkG3Lyva9ZvR+XurXxtPHj3EB/zwESspSDvlZOtkrfZ0eVvbGd8hpCsgZtTqn9euCGeM7Yyh4uYAm/cHKz2nEPw18BLTv32DXIw7EPyrQJQSvYe8t9UQl7Pgef5jcuWWmeP/P1qnXrln5AukoJ/wxoswFm/UwS6IFxe/PBdWi1g2tZhA0LAxUtiP+uwWjmSb27xQ9OrwXi/AA/tYA9ngsoMuGPInNn0POg8TFaI71aN7ZhZ/+GKG7sYOC/byYty2tc+vDehPdRd259CL6ps5EraerD3c3iHbgYpI7cRgv3Tgeo0vY4DcFpWuW1aFn/vSYEOtLfvsC/ESfN3xiTNOfHhfRT/zo97F4MO+u+zgnpFUUaB+7mAO2tseobypMdfldV+VGwbJxADp5C/gWb2TS0KtbJ7yiYKP2vz0cwsmgwPbgEjndzROEfxTQY84dYSK4SX0n7Ner5awHN7wMghD0EDduiHh/pDiTitLPuMA3Ul/WLwDh9XPYPknzky/qIaPf1r1ngG7HAYQht4NuNzXyY7ZvpKHR5o38z6JKv+xQ3cmdl27QM4viV445iZm6S3l1OnA8BeV3LCMJ9S0AgrNv5tAu+ad+Bc7/Mhs8kl0T5oKt7Cv3VhHx0w5Wc8TnlFn34YmK7kFV9VtSKbhmpKd+pspqMDV/kADF/ocF+OKzf35rdTrzNixcFxbXUurHs+Yp8x3NGvOcQBrhLQLyUEPjF+Bi6Jczu5ALc40J1vZsmSXz5vg95xlFWH/V2N00cTMDPz3kosYPpDfKNdO5UW/B4gIFXBHJNzgOfMJawltrKN6rVnfL4h/vKGqR/G+FsFuH9iJDN3LtzSL+1wyNl0qM2po+4X0AaHGrAOMnslODlTlgB3jmUVzqb/Z4Lf2dNgmiumz/CcBwDlsoF3Xa6akdCTJ3a2Egf0oti2mfF44vpeARf477PK3J6KplCmUiIXXLeMT3kNeFW7EONCGYyx814mJJw8Hk6mLuJ22vnAiBSiffCona1baXWhO4JP+uziSLfAVvqDI91kp6fM+fUHiEBH7qve7oGrXk+UEBoFsDcxxIu/pKjdgG5+EIucscamFv8A75/+86tE3EybOAl+qNbPizQe/sLDLFjOeA0exClvguIco/hVK+JRu03qXftT99jjyOdES994ccn+viHDdkMdb0NB3+VDezDna7LYLxS+fRNOUx7eH8DzhMhn00/MmVsuabD1QCcnol+y0vZLeOev+sMM1uGf5gFNoULLprzltFD/ZjcH6OkBmmi1gWdJgFtjQFiz7kRZpMQFTuEV28mwXE2PXcO8vLY2D0VByxQ+ZMmzU1P+mv/FgYPKelB245AYKBa8R83+u5vu4XesZQd6O0KCrskm4Rgr4C2wsBNl/coK8oZt+Ugo/lajHCA/ZqApLuXXbPyCS2arIxH2614P+CO5gob7kDr+MGdgqfAq0F1V4mQX0JSXNAjuEpQNtv0J9MUeeEiUrfxw6okLIQX7P455EMcqbEHGJ9bB8r5Vkd0VlSXfSc269pWXbeAZM+w34DRXWB8zS5ltQJN5wAmcsosnam1lQ4EbDvPaoE8nL9qJReSq2NbMxynzYcpzuw0g83U4IKa+2/hHaREhmorMzGp6PddKR/yRBsAltb83fnnNYHkli30Wmnsi/AN5+L+aTlnCegAWYJSNrVV1+IOgzJMBWzhSgfGFAq57xhzTsp+v1AmcU3h2VP/bM6JPhTzyzne5UBvJ8L1a4wBbk2jcKTzt4rc8bO65UJd69HelNX2Y2c6Ve3Z4yDFgV3TqOeQ1GaaivDV60k2/HFVn/PlnCrrtTv9XO+dUmkD+0dh4wUGuPx8tfhGCu7WOk3yHd9hwP6YPjY0nKWRambmtrrmDniUr2A04F8Lr33vOfXK0vOnEgFcz7Qnq7yXETmZPr/rDA2ikLik0zxlamM3NPKHq2aMPORow5Su31K4ZWy5EG9U74+eDW9Du+BkPA7dyvr8Rq3UEixfYl8DXl8DMWAMkDGU+L00/v3SKJ1n7TkKzJ+I3yH8u8Msld5OHdPX+1E8Z5FfgT3hibvuV238fxks24Wp5zkBZiWZm9iLwjWRn5oZNC+SIWya2pobkmGuzV/zXvcO3Yp6LBbkl1L9xoSdZoJ2J69xRMQkmTXl8b1b/UrqfFx5NWqDArXYybHr8Xo9tDxzENfOnctAysDdT4Dcl6aS5K51BE/pN/9uXDfkGp7mll4rNcQPaIOt8r7YlacTc56Bljec/7SeL9t53uWIJOWBRkZ/Wu9jMjs8BF1AT/bWOduPmoPibAW+E5sen16lGIbV/cWMHWnrNHZLXwj4ANpsYXgEf4d1slqqHNGV5OA0nNzV+MI6GAJ3aJvJ3zwksj+vyvJuKZKIKM1cA22aGX05B8CP5fgqwLnv5qj2YOfClksvK3IPVIzD9AcuqazvCEc/y+ScN5ZvxeEhG4lYIX/EqCe5idLDiUpk8A7iScWJmrbU5Ap7Zm3skdktsLfKBy8zZvnznLBLebcBm35wjlVZb4TWOStDGmKO3JpQVfPYFsN6i3F+SYpJcoO+GtT0OcVY65Fw9tkdS+EMNHAg0Jmu0P1SDmirevgG2RqCXX/1Eb7WLAmAfm9P7H4/0GWD034f82lb1IOF5p1zuzFSEdsZjaTwWACPwO6zHhPuzR9ns587S1SjYsMj3m0geK45oPmxD4Eou7KVc0N+50sDN2rhiZIKcRJJ+uohCH0CzPLDmFe3ie7JD3yww/QPSf/bMIH581o92OGl2aJfuEFAndIFnckmIObUsC3TRubEVxHprQ+y9ag88o/drN7lQl1iwP3LI5z8cyUFEvV0VOOT9FGc6Ppcc2cz2I04D52BpzNfsjvt2AL6REYZIznQHvATDmiZMP2cjXVSw0OR/vt+aOWhz0hIlpobDxvucc+Cz+gMYfCTteIeDPxdisJH3ZsaKVML4JGGuLG9XFT5SnTyWjq7yjnzkwKgP1uclj5KlFoDjBdmoYvr1giNrv2a9MQUFfgGctQa9hHsvkVG5UXp/Z30rysLnZb954PE5lfybIP0D+esItBN41n5Tah6d8rmoWAa63/StyXu9AyLVSwu01uts+cAYMr2Cx4z6PrOJJ4YWcIUI0BRGW74L0GvAvztetJm5I897+F2MPCozkxH408noEtNjgiYzw/q7HpkHa0uBSyOu/90hvzhb1cf3bAUcDdqgDqfvOlL2adfusx4RiIH3pGgHyFU+xBKrgvMdVLBbBZjKSAtz982A/mXC1I6TtQ6335mjZ859XDl6yWl7YPbvHASrsf3jSahHAloR8v9XYs6AKO4gxxyrcO8RgXU16J+cxj4NyFsTxB8USTObHGK/sTImjWcXaMW92zC+A257S0Z0AF4lMOIfbOSvWpGLufs62OhINBpzBFoyVDgb/dx4lcMassTZwPrFSA1yoIWea4u88XDr0F0c52P7kZoezgC/0XBrsejvnQJvqxnkv+J8a1x1ZGv7ewbLi78ejzIbd9JL+u13vWaWmX1TF+rG2fIGvx8wA52B8yYJaB0zkwR0alAKdUtQ7x5t307G8wb4pZ8bL8Vw2anBa9nXtiDWDNz39w5xLi3ju4+Y8fg7hTY+0eaWAt4fnOW7YtcLXdmqOt+uC7ya+WnK+uPU6+dNCXQ8Af40CIUn/elIbWoAWuD+8b0apk2+Ag8JtoX5va++m9IlZ7aSVrEY3mOcJMLrROB95VQW1MJScH8DWX4vAT+MRzLs2ztg6jUJ7cv/POlLRw3XO+jnKeu3aca0JZiZe42mpotfOYUxR6VHC51L++8m3yGZFmrMR38PUgQ0FIG8jr3cPi+lqxd40z9iiD1uem8L04s2HdIQ8l8U92zX9knYEum0tOExfZ4J0jZrHq/z+aupDXngr9kWYoG8HLeNRj/U+VzFjsxsxHHdxcaTLAPs8sXAj9lgR5SXDhNzJq3pLl1eENv0k+KRDdNYgq7nemJsh86Y3W9Kxy9+2MquWU5fWzOz5KEKbHxLs8z4TVqai9AbSGd4dHzG4fYN67+uMh6+WnnGcw5bf1Yq/iwq/HMDnY0gNqL8a+ukxVSwjuyNf6cYp9cdYnDafXrA/0xlusOpcYleqnzkU215NOnnG6DMjRV8h3vmNSNJjV89cKWHmSvBHbUT4g44RJzERhuI+W8Ver3hWtQ283bbayL+V3sAnOHR5NsPM5fqn9+ycvIIMImZXnIU44hgyEdZPfAKtNZP00+SueT7JAgSXzOlXBeYSdAvZoJB/AM6wqc9g/eD4a1mVgI6/3WHyIPZzBDhzaC/zXzKXCw2PI+nopgRilPgAOY+uSKrfxRaTbXYPJrQ9AwRP3HQTdnwruzJ9HGbOpaUjrEFfz7g3+yTHeQrq33NT7k00fRGV3IHvmrlK2hxy2tPvadFML8D9rLMiZnkOoLfBZyphGgrn71O6ft2SAM9NmH7w13/LQmtNWPWxnhrsl5Olc2nyniHr+3LEyPIxN46usDnjLGYmR0zANJZiScYABTF56zPbji/XkAvBUoAL2EY/nDQkUiwrz834HzJy2uHUP9banMv2xLjgQB60bCd1/1Xq3Z8lBq1mTtNzHC+gccY/r/n/ZXGP3gFBI2IrqgvG0vf0vdZ80B6ckggb39eFOBT/sQo4ucFL/GqMB6RKL+2HwnV3ynbvGrnLqQoV+A7vlzZo9qRn9oBbeiSPQ+xYI8/d7XrXeAr5OgsSSValwT9woDryMA478TfCeiVbPhciKveMFPpieFYWQsGjJgy0Xgk+tUpHu6njgIOAvdf+aAvvAiAq8d3xvQbGfU3YTNoAZxXwNv5jtxAuyW5Li3GuOlpDtQQP2rg5ZzZXSW8APYa6FMgGuH8k1mmRnt+4Xwkdbs5uPojjcjl6MTnXMz3ymhGM89Sozun7bmOzMySxq6ETdlqvL6R4VM74II4d2JfRAnoe9/nfXzNLZxgjcwkxDzvsTj1y+uz4ipSb6eI7OohuOUIH1WAHdOTBWQoFeLPA7BvfzJ1oOa8J/Dmk9GZg4dBnzM83B+1NcVULN1J4KF2eJ6EZC/Z2c7DrTC+r5jq3zoHEu0flCoKWgG+B+Ce20YZ8FtTA5+NZD46Xsi03nCmzrXxDwENnVvyo2bxA7v7uxL3+2lENwpZSxqcWiEniMnM2SX10Gyoo198/keYO1jgjrWIC/j9niqUlwy4b4R3JGbGHdO3k9haoO+Aw8G/t4MHaLz32lZ5WTDn1M+sAqwXxV87Zfbm1AO1Haf3XPM7GzY28I6fV4300c5cOcivZO2d2syJRFpS2HMy8KaazaBl95cTIj5E3VXotuAdglUo3TS/2mr96zXCtuF5zjXCEw+mnq58xuHMK2uWdEUWR/87cwAdtGFBcElctjk62qvGeG987FTUhtnAD/mIfCyWd7WCzrUA93cqe84OBu4ogzbJ1tZJdvEIf9JaT6bcYWosU0MibdFPB8HIS+tJCXsrt3rrFCwxcJQb/Mw5rPEAHO0M+fuaMDNvoLwoC/bliAjrsw3d+W3V869E8O8UtbCejSsjCTqI74VArGLLzFzdcXi/JGxe9YeS2v67CCH+Vp6afs1U6CvXpCr77So7PcHallkPLBPw9cSNt5rdUrddzYzRzELw7tVbTZF3cMitWbGlrPlDFfsN5KB7pdt3Ftq/c28bkBkVP2+Ug0Y5eKJx/UqKvVNZcSAFvioU63ogEfC3sxTALTueE0sBD1QoWeWZMJ5RpFzggRvDQZRjp81g6niAr2m1wKe/tMNaWaZuXn9x0Eal6RsMeU574uZm/s+u/TC+DbLXcf2YIYZM/61dAp+pnlyRTYmI2lgEJK8E2YGO64SYHqA6ELF9CRzoDN/ndW5zPrjMyZiiJ626ZlhwZWbM5DPJbeMlql3KghUP8ZqPCvQVSoAHXqrVn+gAe979BO4+E1IATy70JtO+r7p4BJX4yNd2hkje8cf8wsPiaJMveC9uMlhmRvmmhJ/Q0XiEbgseJZs0vFq5mU1t+4tke4ih1kkpRqXzueSuvyG2BtzBF9BuaTlsbpAXCtrbYWnzVurMAd3ywqiOMrLgQd8oSgDTieHQt9I9X5TxTMi3VRKpO/CyvuqfnhidmXddB7ZV79SjdAA7jcerUEGKVJpRM6NV3miPgId4VRIuuHF/vYKx6vAPoIud/8530IPxlCTDEsL6P3836bVFQG+TAM3K1Tcx6AI4ExG99VDW/g68HnB9yUE789rxTJ/52+Gx/cajfCe7Xw8uK+HA28Ml4sy65xSb+8+FBmbueL9Utno3vhTwHlY5JkspzF1oe5YBN57RExuY1fTYleH2w+TWo9tbwswLc6Umu/5WcV9UlLz0F/Blcqs6BdhP2rxAXp3PgKnazMX5gVxis1GzE9dmHnkJsauVmM3cp0saNmbW5EdOzWnoc3ZdB3wyqseYqJD/KG284cmNa/TiURdmo0M98v4EXKXpghtwLJL1rQ2xa+LUyfNZpBE/sB6TbJAr6aTDOuXIHXeSNYGYzhaBSuPLzszcXdjLqXKnogmAEcNXblj58oPd5EO/Jq50m/e5PAm2pPkfizpTnBT9XWhier0esIcvHHJW5cbLSVwvB9ufgZv0ashsyMtW0iEPO/LGdup+0r3LQ9kLNJm5yj4blhfvvWEWf0Dsx4xNm0ZMXem2kCC8i+wXzTtTUzUBrmebkgMC2GhXhTbLzf2Pc38Iod06UAxWDHHQAPC5+6xrB1IoeActYHWsmw6/zg9d4EY70A6rQLgADaxp0H4kQZxSyFu069cT8BDizDTXMfA3481C3glgBXvMJXGnL+BpTPSA+RFwdceeMfDI0iagVVRHovLOd39fGCUV1bfq68+aCskaQYLK4gQHZITcUzRcPr/Xc+aWtXlgMzWJmplO+zVz20vdWxYO2svR9aO8w1+i1x9sQHMztKYGDrTYPIG2fOmva9ZPfUU1Sth8FD16lyMWoJ161XHMwqVtbDLLx9ZOkJqMLxUTf9ayAx7nlKtyY+P3/8Fs9UEc0Kxsvh4hOqqQG18ryD29x8P/ed0LSq6Qr+MUITe3zByt9oeFfK+EdZedr6sOLYD1i/HIUk+ell2YMws2yPFgyQfgwpiApjtpH4GGQbUtp8wJHpUmX7RAPzhqXnho+sfnXLdhaUrVBnLAFH2U7hRzPoXAyxP+7DnmgukW3gFmoH828LkP1dtBueIndpd946khucB+pDhq++pxtfH7DJ+nMGXzb/1GwpQDXPhHGg+nsdlkPbkrPgWAWRp0ZEh4CfilJC0g93Rx36DpedZ26uIW9vZHzZOHHFqcOO1BPeZvzrxVRYonKwPN11spml59bas5C2VhZqe0XwAXBjUs18oF/LX4GfjMOwdsr4D35oOaiYOeZ+q1o78Bez4yBnFlTW4e6E5aGFWgI03fdhXxPA3mBXIT8A38Op8/8kAdicMPDZMisT83PFJZLjBJnHli9jRI4KLMbi+nCBn/4SQV0+HE0QX25puinxcp0JepEyROXGAde7mrRtUb/3C9HiG/VezPa29YJ2DijZZmXpsDORzDHgcd4X+Ze65MaFYZ7Rz5/SkkR2xzqdYMkOnpn7Zkg/EY+7M0XbPmK4Y84OWNDTwO8QtBmV1TecuH31nqHYWYygPg/QGfq1VyUaj2FHx6WHDjg4qk066mN7wu9i4d8DfEjiyZl6qgZSzc9qZ/E7TAtRlQVAkzp8A/PM/0EGhNplzA9BfvrRoIAcg7oH9m4NnTB+V/H8xSmbRB9bnqA7jYBFzrwTnHzzv/wUty1sCz8JRS2R0d0+e2dYD3f5Wjv29AlxE7uFchvBMapxyh132lzkbk8BXdzWzgOvJ3nGJ2GskN+EZGhwV4uzL9FCu3gyVlJM577jEux1Og7yXjE+OgOUbgNr0X5Dt9Be66YHvyKiF3eYg56NLfGs7Dyi4HC4enoA3NGdkp9GLI6VoFqAIOBzx+Y58GXJw4+eaot9NABVkHvzvSH2YWHB4AS4M5aUb/TNBfiL3k1mgtK2Zranrk3d/+lAMR3k65OAZdZvpKnj2o3FxHBjiX1va91oGToymubG3mcb43BXABB3cS+BFHuqRDspwiU69z3dSMl7Cn9kLLn8YF3ufwmAvy/+5Gjc93zGpTBwh5suSmTjdZIBd2oH122D2vieNBTuQOs/SMHWJqNPMafj1FKAX9alM+3asIPyDmPMpaU8Or87AFROHn0zC/ODZq/p33HihlwC/wjfdq4RDPJTd17tP3qVMTDtROdvGZi/Ke8r0tC3zIGQecXxjruUzet+0pv95UB1xq2KZ8BO5stZEK2F0O8+tsmVeovaodMEH4LqyPP+pIPs9dymKioo8RcAqZ7HTQCB6cAtVm3Pge2gSHG6fWMYbvvadibkuxDQEXTP11l9CYJ8GzDy3Iu1/slbyfNKjRm5mV19j8nTJliTHOzNzA+uvqmRn3aSFBZ8pn3znwDdChyDK9m9IBPunwL8DeRQngUqtMk071OecXNWCndNWt6rev2h5TxzrkEaZHV85V2L7npjdQlBbsW4Dk6VHvSo858Hec5HK00IbR/nK0+Xdp2SPfIcf4+yehjozXBPD5+GgpnYJGZo4EPIX95syvuxvghraP18A+jTyhHGE2+mlmtYbhAWXU3rM28X27y2y2nCg2/WdvJfcvQk//vAQBR4AztXJsYYVlR6wtqPsJNKktIQ72Sej99koDr0gx8NtabC4ckQ9APyFXHGONOia4mUk1AX5jo0/y0Hg8TTcqQH/s5L5cZZADxoHehryZ3Mzs2cSWz9wqNLolI+hB0CsvDsBGlbIilrgH/iiAAzsAC0VpG08B4C04o7Fbd7HbMJtzHf9UO50mUTtTHVvGW/Fk/ONdfyoH68JC488Q33GR3Oqu93J2t2Twq1NcEiXAi+20Mn35bC5IpwfWtcaz9sxBR/LAw3S4gvbfuoCth5Px0w4/HWbjhTt/llr8sU4oPlbBbOqCjlRsGRMtpqIdqfGGWIn/0uaAL5Xg01s2YsZ37SEVy45xvMm7mDW0v2cO/3jOxAvsG6xDR8It8IP9I2Hyv/sSUD+Cg4ZqM8ZgkYY5fM4bC/nAAi8FrvmaQ/do2AL4bGrJbI9pTJS1JZmtqyqwGfCJ72Sw27o/O6A9zlj7Cyv8DewjWCnIP6bG1PEgh5qZ6fERj2yjArnPdzgEPR0rWwWlmF61c8ejHUeZDVqfxmfjeZBZS1TDOwO9GxjPXAaKpHZxDs/zlvT9IgvjPQ64QfcW3WlW27iHnLCH+JhBo98rJI8kxFnGbN/MpIGv+Lq76YiJ31GxevCO1CXvsPd2kDd4DWuVuTrJHGTmbJk65gg+/yr7qWCRbwG/y4BjfJu7UlAJtvEVhf8dmP8mfDK+uAXkmgq42IvP26BXv9SINV4bU1e+cE0m3PW3NPAmWgQriXiM4XmqAbQQjx38mCUF3l71rdOsasaF1vA9k2psx6Sf1xOo1xOHHDtsc/W1zaX929eWmnmKDKkd6NwOMOQuAwzaZHocHcxr4Awl8Joq8o+naG8TR11EwHFScEnzrXNCcs+enGvxcKE6arUB7IU+sY1XDmbY+IR3rxnx87dErTAedYB7pYiwyDsFr5FvEli3ylIf9Uj2wJ9nyDsQt/N3ZsfvNYv9g4vyk2jNTPfpFOqd7IGzaP1Rh96+tqaAu1rUoF2anrzO9ExdyUVSeConjtKivB+c+x3W9bsO8Qq8+Q1bfywF5K0Z9y429aqm5kSQHLjPe1U08DtMT1Zc1lZbJQwLyP0P2BabnJIb4NwFdMGLbwSmXhP4zlm6KMlXPqke4svassT4PwKdOAW2D7rbw5H6oKGOAfttbLcHMwvxhHBpZjyZebP54A2iaHXiZrDu7d7Uo+QMj0L/1otSaSfAheXl1KMYeMoD+Jy526dEXCHfkrbRvD0hfhP60yudlkNul8DvC9H58PzWJVkDR+m9DRwCm7OYeoeBywKXLxLPzOlTtv/iAFbytZVHwGbaYwRsawa86HMNsWnZuu55aHzUjnZgvfreeF9eqEM0UMGIsRgn1J+rwcbUIqCmtqYPNSa2/oGf7bICvs//5t1MXAQLHeYOD54uhz8OETPkrfhSdX7I3farsmV+GjFw4NmcmTrACz+o+/dRU78ADO3lIA9NQLLG4W/wsythiCXBfiFdvDfnWyXnr56sfdWxDbNmh49qPFHgGMAxCcsWGcRHIbZvmLbAX68brvlkeCvwpJLa8AzA+yk1M7zxVGvmvnxI6h60Rhg4wEvvFU/sU+S/zjc84Atu1Sdr4wCyhKY3rL8RDuuSbwkNCawmz/71o0wrDv48+0hPlEOmZ3cu2q/j2mzE1/ymgPcSV6+NNV9zd+pEoXegDYLK/u1ru+AQdDtkx1r3hiOUtA9syX2f9edNaXmmliotO4j1kN94h/ukt5x6DW6p2NtHUHSQ91fGY0pBr8ghDuE53/Ie8B4wCrQnyYWNfuujClwdXJXkgefUPVkUYPzBad0E+JpceSsh+gGPJmVdV3hzfsqs+3O+HuXrkz+KNpMFyXmBroAFXzlvWSVwdnAkxKf+Tnftr88SYM5U2eQAezYxMczH6ZizP2ttT8ZHu61DBPvfTnGnCB3QOx5wl1J1J2Ir4TuNyTBL0SWLosa3hwPPR7skmvJ89I2nl5fo33si4LPtnqPJSVkrcwT7dY0ras0Xwnq7ZMj0wVzzovcy469pIeMvaTwniUByTsMeMEeJKvhj1+J6h73spoLdjo7HuSXvkus95a96gKvVjO0iAjNLEV+b9+slGZYK29JVPPbMrKccOO/RAXXUN7B/8Ub0i9GVXT2QoHbIl9qVG+agkHEfqXfDbeMwE2THnBaRx3aTOL/35ocmkv/maK7xIQnnd2JJLxFb0FhewEaUSxd0JLNTwB1YGw7xp+x6R1JSkB7y+K83GRmWH8744bjGEmLbfvrYDeSrCeX5N1eKTyBICguBLDpC3rP7DXWuDka8SoZJZM42/9f382nJEM+kmEy+TQhgciMgh9r8WrP5iwKXV06ycBeJWp/vcqd/ANOp8Xt/aYcT56FkU3ziUwQ8ELjJEuLC+IvLjAXbD9NPhh25h7fIy/WvZ/whTv38ELD/8h63xqcpEfYtodIRkFlgb9IGnrsJ7TsPFtBw+9/eQCX6B18xqyx7Vmb+LI2zqsfwppALefdaWrDHkf4yZw0J276nIclzt7nw4uyIfnvnX/OY0t47mtoL2Bum1h8jeeXutOaBmbPJXzh/P5m6nyGwS7fc0J4/Emuznrp4aNxPN430COu7QL6xTr0dnPL57eB4B9Af8G6Bue5wqVjbZ5St1eCZeSuFss+bykWm/2KqHNLDO3jVtJtZ5KDbyjuB7w8YIWr770o6Mz/kbjG33dTFlGOIs8xtD3lP8say83rkuqKmZrG5NaDpEuAF7H02darfmOob6UHHUA7r4S3l+uuPHVNXTU9vYKvtOP10CP+8V6POM8Bz0rdeKZKL2MXXUvcPiA0Jed6BHBqDZl3h74LmJIcEcn4O2gfW2PQEfVSR8qQ5A3X4VUFovvh8EoFe6+0NK/ZeufJAFHFX0vgb8PbMB9B74XZklmf8XiYJmqeyeIAj/7uJ9A8ONgvwysnMAsQcA8/Rt8YBdrTz03SXPOT7PFQ78nou0PX7DbMBz9fkUg7LUlktvCMSqJCciTlXG/le9O0HcIwDjv5e8k7HJQus+v3PzfhRsfdtpro96GCe4+e8HMwzZy5AD7/qD18zCj3gRefEzMYpTD2cJLVV3qnz53507J3Qflatvs8BswCvb1LElpkBBDgxcNQmahd/Q6g9mMW/ZKg89e8u4ZiG2+OpJx9V4MXS6n9r2kvHM71U1Qm1FegXBtpnKJl+Kx1U5e/bN9jXpOzkm/E2Ll3TwwI8xCJnuaII9sVbMiRWvhK7sua4tvCBsCUwfRxCWLYKJ+A6/5vzKIArlkP/ONrku0btyGyEgN+N3Flwg8q70kCzXMSZbe4MP1e662/5+5ydWCtgP+zrAAtiA5UI242EvJWJrWjEhBPRvmcO/ml28vf+iwbETyzPLa2nT+CdjtKC/VJBLJwrt7HNGaQ03rSdihpLu2nQGH+wtjIznTt5boTdkug5V5NyBvmbmXu4ZUoKyGXRJ2D+76znG/DPWx1eHTMj2Hh3kOd8gFjXO/+a0tITI+R7Jn8UVWVNCbCZ6XGicS+R4icesyrab9Jdc4OM7ZX6c0kcz4J9NcC7D4B6tkdn+c3LCWpd0IEfZuYHLSbjg3BTO+3Urn8BHIkap7zXo+yq9+u9YTOqhTnDaA+EZl7uYBc0rC5d0381pRi4lqntz8M/m6RvH8A71hS9uM3V1PxVZT+1deRTcx9SjjHK1/KShupOi+wuhboan7PKzIdjZ++k+zthexvy7w8pdMlXf2A7+F4FJpDHgQOjn7r3nvcppwIVnLUvvRwkw3WBXPwG7+jLfI9kZ+okcJA4sqeRn9Jg+9asErhh/EN3jQd67phweSl5YKkxu2MxgQbDB27Hm3yN72rI3DrU6GT2gfEr75df/95SE8BN/Ci5NHO+zRkNB4zQoH/N3Vec83iUw8aR3NT0z6ss1PdpMD4NwNU0ejP37IAtWdVlD6rxwnT89EBOQIeejI9yj/ULNyBOY8aWBx0hTiK94abuianbycxQzbfPez7gwh0VHPIU/BtdPv0Rk2B7o8WnpYp+A/togtwa1zt2YYGd8vDqsUgXZXGGGGGvPT/jUFqkn6WZMyO4tP874zMeyBUONwvetRtsEwYa6V4P2cq7/862QLNKB+1q0Lh4iL/znb9jtLlxtH8osd0p2MOUxn7e/f3NlYK3V0wb0F9Pfy6ZWfqeIOwBR265WIBDk+l5TzDsF+DsQqHp0hRtWLHGztb4PRfejINtXrNn3VGWR2ersu6PlPtf2J2KyppeHiZtzsnmFLWlCOQHcDHg3FtYWyXYGuc5e56d/NAguSvgmWz1N5T2l1RM2dPbGfYBC+cfteoLqJGQ9PZ3zicr6XQGnC6H2L6STr/mBp4lby4Zu7tKmzlo2YZ+/bkfjEc2nx60nyLQghcu9KVx+wsN7TeI7dXM15a2PnDIkyVT+/z9jwtcNSk7vgJWL9SBvdMpF3gQ5Kvfsy9zbhPyYXmXq/F6QEGyli4GbKXAAphztiTwQBF4PRm23yxSm3KYEeQ544t7EwhFvMBYPeagEWqlQpZNaO7VQXCKz5vcZZs0//UiwLCPM9BwR1ZMhSj8sHazzdEB1tqfbeAyr1ksFXDzD075noz+im0ExHdLQUvFnBJU8QkIvTZ1Y2/1OFVNuLTKmiPAdQZYGb3uboBKt5A7uyQit8OaLcDPz6LXB4WaByt09G+GNekVxR/ZGsBmUUHj6E2zxl7Jicd69EWNgjW99WP8furlN93JXcnYg43YnNO91itpQM/LAbj4it/wDk8N6019JWiJbSEhCistAft9hxbnTRrB+9c+5HjcZsBMcDhNhhGYc6ecyo4YjwaIi5Pgg6kNr6PpnKy/2uGumD1zyAn5YE5R5Hsz8II8a/OzS7XzPwyvp7b8MvfkBOFIgLA/jVMIb/mDMwnfKT4I4S2gPR7YlfxUqMLMyToFS0B2vcPZ9oVRP8CzfrKhdeVOpXlE+jpctAjtKhWySh5/nCTf7hO2pA1H1ek5Ew9NuZVcDtb2APFu/MoLMxMehxng9b/6qKpfgIcSLAvjafhb055KG3AOcg0JZZVyDrkcXwHv95U9pU0wf/Ehdsui7U7BP08M0U9xJUqIV9RmAwIeB9w94ASHpo9fbxTkacCUa7NTR3inU+PYL20eGO8M4vpVHdg51r5dDvaYhvgDtOk56zUjoFthTUDftnM+IIm/gMvzaRS9hxLnvGEBJrwLbNCXLfCGA4+mTD22OA2mB3wvAvz5NRfGbqgfZ7wFQtF7z56b3jZnrC5by5uZoVBbsNdWaXr3dilDTppfV+Njln9tM1PDfQpnnI08P7EtxUI6xmuMr6oH7EtAs62V+K1NvZ3M+bSDuuxr1ky38D1Rz/M5g79zZKu2E+BSmGlWjtnj6ExXMpQ2Dsh7BdwtgbwmLeAQkZbAM4TqW8b6ZaIWrqitP6q+cWrLe2m974ojN0XAhdDnQoLtrCIzi9h2cRDAd27DpGu9BvkXHGi/2fWADTNKdnyCdU8Z5FIS2G/UzHkMligflmM9KI9ptTLg6xmPTX/sq4/eVWEDWIYsGU13eH8i6dBC7WCBHBpDDvUF896rrv2pQg0aEiPI2cY/O6gG4Lk9aAHHmyGuu7yPbT7qGTDP5FTg5+irifx9rdErvj7qNSaU8Tvw2g3okG886Es+cJ7s5KFe2znlcVHBu3zOvS1IJvrrhgrbVm7pEcf0q/M3HOKYjNrmhXZkF8eqtz8w5CPJIeaL9teP6GhrzXbyiw1oD4p6U/N2MT5ujb1/1F1rWmmtKlxkwhE97cjAKf42cUfh0U/DPy8JbrwMBeDl6o+1Y0P8oTsVewf00Vui/f/6Ya8uZvbFdICfBMhp2Oes6y8M+W3e8xtwhl01NKApJuD2JMlGEgEXu1Lrj5uMgPH07yJ7Gb/yOOPwrim5pFwutEMYsOZ59/2KL8glH0m/WcXo3yXnlzzyF3NGQofJap49uFNYFjHwnU9T1wPcivQkCODvNC7vbcBP0JGIj7Av4Bn1Vy08WHcEfJV0JJ8LWeBfP6I6aC/AF95MT0ESqhZbzUOFc6uQnE0dmQwC15w9p8xeVRCzE2ijhNmw9zkjsK+B2zyY6O16/bvhNn7jwD9OXOWZsxWZUJT18/S6C6BMe8C1pNGRp/G8soG8S8ir9coz2nHjJYLZoDFxmk0OmFDZ5Jit/gM+6ysN0Jvk/V1w/8jDDcQq97hNdhVCq3ifPwTFThp6L/8N52jJFLTC5WT8++HfMq7eK4tErENpFREXr35QdwqJsLw0O37OGUlAs3+dYJ+SoLkzpmbIY8ejg2+c+5Hp/WCO3IHOvEG+xJImt9/8xSUyZ1UVwzkt5I+0z/BeNxehgWuP8qIAR7IVVTUnGXa258ZZjsRuN2pUM+h2M9sv4CHoSZd8y1Vnpa08U8cHyvxR7fYuG1+1+lcHCxynJkfpdj2h+JBo+Hmkj5Rrj4npUkOMcI6Nl+8RtMFa6ekbXgHoXkCBAO8zQfAp1Jiu/Q14yAcJ27Hs9he2yy6wvy6AS78zx0FzvTVunGROSxq7LUiHesCXGzU9M5B7WNf2B9DQidVbyiJH4uCxft8ea4ZAc3pm/gY7AD8BHWGlbP/gKzLzFO3G2s4sONt88F4cwOGdZCaHZ8L4V+Aj5KQkMTNbu/KRDHfnFPmmdnJDUXITHfCB3rur0DP9I0j2BPN303+AdqAf0rxfjnRQZ+NLV/Zop1yegF551UdVbFBz7spJ9TNu+jbNLIjJKJ7hO48nZuqc5O4UAcfK5/eDI8eTmQnekUvVPT3mCOvjsRZasnC65Nbcci1ztiL0PGO3eYLDX5+Kd+NxCjp5A3qrZFSykvu5YKZW5+xCnvFToP7psxeOrbX7CZyf7549/T15O67thazlWhX6Ujkzhz2U8V5zzOVH5cR3M7cuH+yXNp+V5Y3/+LoFPExX9fPnGwf49e4Uwvd37B/FjPdsvKjR5EL5rmy0f/ZGG48/53rjlspqq3zU/O+SW/rNVFidQg/zcBuJgry0Xlq53AHdgY3Pdjb+vR+t+VLaMehHFQDvZOkuuxkvSGbm7BT+kycloRRNGFyO1lSx4Loh8HdOoD9zNvkE3oUYvKxk1g3wKjuu/usd+tnjejta5HBcNZLv25yE6Atw1hcFdnK0vxzdaSy//lxANy4s2N9Y1GySx/a7FpkrV39NdypqROk0wRSTQC6V7YfEBc0I2idFfx/Yuv/OsG4GdjsNECeF/80t60LNvNaVhMR8x6EFpDXnZuSdAl+VliT5jvzg0MxRBQ1v4ZFb2wo0zgX2HAOtcK97M7u68WAt4+r9z3Ia1AsPARtNbVWcnDqIqe7TPsE61PZzHpipGduVvTmtiq+mf5Q6bQbxTCDmY3iODrDkWAXq2vQ8SgUKyBCnueP95P2fBw+CFfDQSpz7b/8XDklUrz4SorWM32TZId3sUNt0wH0LOcDaHs18yxopUXGIHbu3DMcHznM9uvKsNImyQt9FD1oFoS534lxqtM/ZeZWR6eGdfmv1cRR7fJBDwrGLYU/nw1SUPE7lLnDrJ54FXm6xG3G8O3ZNTTjfAa/elKBjuJif9QDAbz6kzXdV1DwyZr8dH/MGuCS8a7Nv4vKlU+QOOFrgpcApOsOf4f2/MwdIjtGZoD+asH2HZwR82mI2tntiemxGAryMDKdAy+rrakN83SuHHAgC5so5kc7s1kWzCli/XE+vnLJjDBuPpil3tqBFOcSfIsr0OfTLTMM4NR4nEjCVB9xrxmlXDtuzZNMt48D/OC7pTsXPWkhXGu8252i3fkrbkNG/G3PGV4/tq3cpyWzVAp/wsfXnrkwOc2JzjhNz5Jd5L0dlej0pPlJggLAvb4luPdBqB2rOD7vY+Px81VS9JSv+UYDZCnIICRbX1EhDDi/S4reOKJfDYjF4L4ybuoWtaAre1f3kQmzfEoRIzcgXHf+6wKkG0NuXHPLhwWHAS2IKOdmrNYY8bq3l15yY/jDYL5mZA19bi1ft0K7q0OvMnDcuehztT/doT6Btr5fMalPgOR+mJ/Vg4wMVywD6CHj8nwcZ4/bg8uHo8k2t/5q+5icu1JSD5piwDM8bNVw3cm2jLIf4R39vycBfGCVUmNlJwKcceEPdXxfQuil/nycp4tjgtOlnwFHLarZNa8Cj/Gu+JoXf8qLFxMyEFnrOx2alKF6kBdzFwUU+TgFg2Z70dlmH84vP27w3uve8kdQ3DgUdz7cRCzKbPs9HzXxLHR6tGJ6/d/IBJ1VvuXT1jUfUkYUb0JKfoOu8oH7MPtPxSJwF9I2PuUtk3k8fZfE7H3YHOibGDnlX4cbLaeOwYLk1Dl5B//Ek2F5IP1EaxKZ+x2+GrV13oLkFunM2j5XwXPVl7k/5sdLE9PkcAEtpJnjRWDriPV4ai7y46DtFqgWckBwIRsrmA43gXbJ2dyqSO3f3C7NmwRxvb+5juZn7DJwPtFd0GstNNnhRHiGqEGAo01q5el8/thkpkChtbfp4duWqX2dflgr6+8GaYS+QW2KpFD73o4q0JaL4AWtl1w5yiKtv5qwd1o/h8O7V3d5pxrYAnI/N/ZnxMIA9XEiOvHzQP5jKsCmmCw/0O823r5oKanr0SI9uRBOntmPjXznynq/w7v+7J28uWU9ItQNuF86zDNVYI/6oIj7hTpf1qo131b0KtlesUZwPbVFR4EmcVwqyCwnQqzbVVjvfPjpcAs/8OQ22LjvT2yJDyewQ9P4dtNpzhpCZ00EF3lc74uGeSNPXng/9RfaqOw3zBfTON3VIXPbt8V/twfM++v95Vs8eYEOWj+gN9k4lQItWfbAwGzjhvz7rn2bMVvyYj7hfRvL0dFLn0uLfkFtj4EE7JUoPdJSgHB1AQywJ5/DfaAOfl9EBNDf8ed1JQc61MOgp/Nh62I5TumIns3EIsZ+cuH+VoH85Q5eMsoda/Ug6XilDtmZaI/h7hxy0eDPIfVMEzvFxdUQQWEfL+zg+tljlf+z88efVr+c09NN63lk48gcPJv6v9vMM9X3uie0PDWgB5aiD/LpucGDjozPv8q55MFpajeub/i7CzJzd0cw38TdmTlSSA0ew7CPk6e+8e800ud4wwuRgTTgbpQ3r8uAaOEzUusCBQe9ht/wy9yewl5k2vojuwcVlOZTOqUMu7L/eeALUBTczM2Dfwnd1vDMOeShMHekucFLBXnc3PQvnRYyBC9iSHx3k4lAP1Hha2OoNF58uAcJ7cP2ejvGaiPiN2IgB/4wZiyPgDKup34H9cEhC4MDhp/G+SsXQZrLrVyLwGdvNq7cilWFsfD6vpQZ94X46R4hHWQDbHDwfvtIe4uCW9zNR4fnRBNsuR7xgkZxPvawg/5ZmTl0dlBvlwM5x+Qdw/43REsRRbg57KevkC+dtyrKH0tO5FLFVW/dNPciUiokwt4Q1aF3Q7N8J0t9kBLliA+egilBm/o73Q0TiMhG7oF2KzNzLjPGej2ZOpKpq0doiXCrIq69+2JUPynjAwxqpjjn3RzLGZ8n3kDkA86ztD6wDkQi/pTR7nATE6UpIWpwfT59pM++LbS0+gF5nfAItysy50v+bO0hxb71yynfVk/zU4VtuPA84uTYubstxGky9cWnFZ9DmJng2gstIFdNHbpyjdtquQ1xWfb8BjKXM8rjS/AoY9n9MXWtzozjT/UtcU/HHYG7GRgShC+gbIFewEZjYxMb8+reVWed5a2trZ3YmNkjdp8+R+mLpHsqFleoePf/Ova2/GfH71hK7o6+IHNiN2ipqeupA/N3CrzGQzDvs877pzcORLvu2d/e6ryr200WU4a62ApMz0N82qKoVtGK/AT2lRA62BpxxrXS/Dvs11+z2YNYU6jxXBj5KDQe4ifipiRoyupmaAN+bGM1En32f2a6AN6iHKc5I+mgH4EMQk49nb48h/hTDgvNR6pnvBhlzPft0qcqkYHH4yiOqm3MAnIFaTd/fkWWeDsAg9T2lMBJbWF9XzKs76nf3Y5DrO7ocqYSBXkuk5vjPd6MFrZfpeafr7glY81bpWbelujEiTc0b9Zy/l3Y4AioUEXAFflmbYfpmkbjTXnJiJAaKp5soRXUEiKRhpXvM7gFD/LpkrGXdXJiJIUMUZUzX5piXxur2fJSfhRJpY4MMV/mdGOK/eod5RLpm6ywNfb+se3RVwOs5dw1kgN4jScnG7oyou6Swd0eV7IDLOMdQHABTEsmnH8mQQQfg12dc5z0jwu6y2qBOpXRvbTDJVb344Vuu6CKteS4it0vX9k7s6UIJ+teryk9M3Xe8oZerUJcnG5aL7hgoznTlI6v+1Wz1VjVir+LBqnVHawT3vRmaNNjEaFSlDOTrfOORM6n7N6V8CEf4FyAO50cfr6muf6FTfIzR6TceEZRJCw3p+nFvbO+N9ZtDxrua6bzrUjoVQWlWbH4ORmUce4iLo1jbIbUa1b3uU870nJtiTOpWibjSvjXgT8EFbQxWAZ79N8uqSyFWgZ2DDxBd56vzJuQOcBZw0jNAH9HaQt+gNZ51gOssUm/HYGag056cfLyw9xNHrg82vLYsX+DZdrq3JR5wkZW5npHxW+fL4y+wKceqONg6Z6lY1b7VtYOR2gPmOPWofFgDgeIPiOOgASkCTRUW7ej1xfh3xyEwRYB3cgt841P002+uDo3UFWwR/GAO8gGBZtkEBXBY4KS/9XuiNxbACZTFeJXbuSaRGmkf3iT4QhujJ6M672pD65UJ3Q/7P192WjtwUPhhFaNM9paJaNmB8s6Nwpr0nQaCvfwkPvixmrY18xxpyzgnSd2ArdQQpwG3DGTKCLQ2YN/0TUi7EODcR6oCrPMx2WtWy+0KHAN2Svt65R6ML+cIyuRI0FPwr0cDUaLiul9A95kCvhVB0oHGmlCw8XM6J82Kc+aj2+/vy9wFrjaldNb9/gywDaRxQNK/OQh6Xs7cGumTxJ6+N1ghfuu614DEiWrXxKj5zRDMg3is9SaedC/Gou86Nn45gM0CsKIGbeiQQLE6nEZJhU31nJ7S25FhCYSV/s2whnif607msr/da+tmAbe7Nn1o1zY7sWDKjsX8I2llAq7SowIQti5GQ/tHaiRvR4bCmrIQ9OFKgsVHMf69mysMcW5J+AnakGITvWzjBzQg6KbexqvYwtquNZtAxcBactMRTJ1rW5/Vee7xnJR0BK4YsaCg+iBJFrmBcEs7D5nYSI3QS6mzHPlcHklI2h6+D/RFc7q9zgE60aNgD7E/t7q04SohNkqqMTVw/Nt75Tc/VMRTIeIWuB4g10DBz/VMIp3f9O7WlhuK3mRoeLjUUoeChzXoZZEG8gefda1/+OohuS0U1phRMKCWlWGecsNxQJcOqaGuGLQDMy53wCT3d6ZX6bGatk8WdN/YCqyWqwPx1VAHsD8QkOvifU0jAfwx0T0J05ROY229OPbNAewCjcTsZmQHUszfFfMCsIlHBdqXxpNFwK+ySFyoTofqBaMK3wBHPBIqi1rorTIWsMEQtIw6g66zW0PXfc8lskFFjmGOz38zuZ5Hn8UN8xAxzDdSXq6g6/MjR9eiTx7F4Jqgw6nOw0tNpvuAHCqLXXgc6P5pZQW4gKMNSs8YmMRcNIOetTM9m/HyBHv7SYfwQP96p98MRp2niNwTCvGTKm8HOojoGuGKm2YbykoY4YPakwd8RPEyRMdBfcoVjVnsGb+zu6N0Pfrdz28eHdfnLZPDwstSB6HHfVjv09/98g0Z1VJRUJzcDBql51xhrc3zOkJJPVZXNEjwW/MpdI8iGr7JyDWR1cMKYZ2rsbJz4hd0E0iCTvLfnOIYNF+k+TxgyRs5vb+0w+N42mwJ6wrwyTzVPcUIezSAK3UYphj8iVjTvaabSGtGEgqBw7CD/QvqILD0bATZL7eKJDYN6QoYarPQs5pSdRDzdK49o6fN8DrTyyL3WtidvtOEWMgmTrq3xses4eAvUVeLkjoyMk/Scpx0pVdy1vNomF/wyxXRzYDOIqODzKnfuTXr3LTsTcHf18YPK2amS25fXvtlc94FZDvvwL7uLAgfKcG2pLnZKFblfepiM0GYdphTdxLk45mek8/6nDt6FnbDvxbQElvAdZ2bydsIcN38WvLS+6Gm7knopb8nZf+dA+TDtNYR+0aG2YGLEFKGB0lxQuJwvzfVvQZO8ZsbbIsZ4EjJwA1lDPE/nArghhH8c2qG3Cmsi4lLPZoGbQuOut/6WQX6zBAvXz6A9tL1JPlhTfjBZBkFPp33KuDnhNd2eKOl9w1I7/zebz03JA1C4JpC3w+DXnHv6W9+wzyCb0Q1p8CyZSZ0D4JgYx5HiPT/m7Grz1k7ZqN9a4MtmNOrN/oF9OTCS33v01EeLBfgP1VL1FtDQTcFmx2OvhbgywM/o11qYiLp4kDcLRoiQq5zP8qLo3NN9YzJF26InjnA/RPgp1MTmYB/X1cSyRkNYV2U4gYYzKnN3tpVpqCcDT0/Gw0QDxnAUm+WaMR1DT/XRngEHW9l8W6F2HXOaPedFfNbAbrqda93MBDghRyBO5e6DwGJZVIHoEHGjxWP+FkbamlCmQCWGv/lC8A6sBR8ZJC/thKWLZ+eGZ+7fJA/eo4daJ8RBR2p+PwGuuB1bkMBdO/AY79Tzp46BzHt5b0icnfUfatNfK50n0jdt5ijoB5uVxpJAT6ZIb93U6KnJXcCBfSuz9z13ObDCqiyMn33/Aaa9LtSf7pyQnHrgi/YR4gTCChqGs1EWpNfr8FVlp32x7wJphQVM2arEHxMZgI8qbCcO/zde8NNv+3nnA4sKmiS6D4pleEWRyWJfN5spF45S/OAY5WBFgUxuPnM6JTBN9p7y12wtVtALwPXx13Vy7dqzZfD+uXmhvEk43Q+BjihoebCpgm4dydWrvtT70CbcGwqsBEvhxib1esrp30GwpVUlC+PZkgYH1wD+DmWcYfQGfSDvmdWFwN44yfbboaUqG1jmFvdJ754zgNwH95E+HfWnwySOxtVIALnqe8JdBUUCvO7BK7/Pw4gE64Q+OPMsmCaaiYwxKcrY8nQ8N7FZ7QXfmWDVYNtM1H3odA9xJmSEeCzU0Rf+mwjlJFiOcNhznR/cqYocHn2mzfhvs6jhoLPp6IX3xDf8trCxe9ZoYm/Reh1XM8uD/TMvd6lY8g5nRL4vreWoe/C/rjWv3Wt6Cc93Z61zik7zWZO3QwRloswfEpDme3549XjTtdUAVcJJ87Nuom6U3MWhQwwx2X4ia3w//m2Ap35MIoecDEW1yP9rZ/9KUZ1zkLv+xj2NlrDJ/PxUIeBCbx+z2miayrHv/0KVQqcy2h/5xRBHO9nX9fWFqzTuX7Aub9MiP9hTTxelB+m5Mmc9u43Z2r3q0vsYKkN+VYYyjty1z/GElSYt215BzxIfbbR8lrDS2NsglzrrQGv9el2z7hjg727JMZv9PluH2wGDDq39ytSqf1hgFZ60zkd1TihtkQ1CdijtZaC6eJ+LgPQ6V1tzTscAJYZ5iho+9Jf8EleVhjJiE1vm4/pM+9dB3DlM4dYklOs+6T4uuYGmV1IzSSsbXzVM6XYir6rc2XW8ATpc2PpOTyMfD1zK39CzCyOw84FfQzYhun/YmXyBraz1+cWKZE/KTw/aITPvR3cmzIHnmv21Ic1iXTfeOwUI56YCXyod8HX5gTW/pv8641/P/agcW25BcmQylVkmE8nSV53HLe7hBiD/C+IT9TMIFa16kv3kz9QYzoAHpaAVRA5u1kQ8JXT3LNzN2Wh6kADodyUn8TCCPwDp8/3qz4baE+3axal9/2aUPg81EbzKz9qJREFHtTfs5KuBwNwzZ6sg5kvWZxUGNwLPuMuDHluxukNB9I+GAbEBudeBBsmBvB10DnNKNLj4Nz3FqraYrOT5ZebxZ3uqPOdcfeFh11rbVhhyzIruywnXlCR3SKD7lKbyVkOSV8Yy5lo9avnCKrkU1j4TqPJBt6aY8Od234DeIB+0BZ4zHY+AX9yi8C4a25HzP6JLPzKW3YOK7KAQzsomsxGz9WJdd9g7HGq4zXTfKPGBHfEru5oANwYlgH0A9W8AK3gD71zJVb3gHfY5+dOc4YJ9ZupILm+I2Y4RvmLi+qaCFFelnTorjTYTBrDkOVcwf62TeTYRSj0TIjvVDGjDh4rItUd8HqHueEwIt6YAc8esZnFXy49h2+gTiDubAA3lM2V9ybC/q/HwgE0QA08uja9oH5uiiM3FmKF5cHGWb56oIGR1/Sp0T7fwY9FRON2Pawd7HnSy7H/7T0Btmim1sVmpZqpSnzZm/fGDhHguMOM6aW/ACt1HrTzzPzQAH7NyUjvFUuq4wlMD/CwYMlbrc+5wKO55i5cfZPoZh175GMDWDK9ONhW32L1eK1nB5HABc5epz34A/AP5HevXOKVjdKs6PsK+tNq7dxpDfaox25NrcnCpPvWZyMsANxbQb8Y0wkoKvgbZpSAhgSWBvxsAL9zdT4gGXTfDvbT+h5uS9DxPehD/pcj/dyvX3eIlctxmB+ynx8Z8x6ApQHgp4NM7w1Zcw2xCnACFxKsIVeTVQcLPJOpe0VR1m8UjZy1WD8siA0+BwECONK3kXmvVDgeDHd9nQMgogKyemfwxyustc4BrJpez65AHNg54PRylby/QoxHpFceNpI0iyb3YCpxJHq2QH7PghBs87YebEV1PqSwdzqXeAANFsB7vLjoAHzIOliu1Rr4p7HRI2Ufz+osbeAwn8JnW0yll/IOfM4tQdEjfS9EBrPSOTz7lWGkLmvDJCZndW91/q7Nbgg0rSin74benrL/6wcrmu1mkYPI4XM5cH+DssmrmOjYOX/woXIOdr5SC/CDTRTB70UvhrZPJqKShxzVgcWpTexOz163SNRdgJ+66Kw6GV+uhe6Xu1av86ggi0OX95q/mDXwkLpWgJd+mEB8vOuZ0q1ZOTQyz+lgmEXkfrLywz4GlyfEt1lwcddzxRvq3kBrWZRhZ2+4DlVyBP3ppKHa47B93bWFRfS+8t7MRI9yPBgP0Nhv2Hp/pH3gtuf+zn3P3VvyTc+t4AO9Cx6W1Yr8Wl2uwKfZ0c+vELO/m4GdjudU+xuwY30fuBEEcBJ0yau2/ZGVoY2ti1txZyFxNwif2oc1fSLdw9pkqzx3Vh16lybETDKgPoBZx7iy96YH34UoYrmJaHoXev3onJKSiaO+C7CTQdfkpyT53+zgILeqUhwQ2KewugtorjtRUgHHWaSeLR+pro3ZLvXVnsGa1qDRK750uA+d41kVRSCsvO/WInD0GfeMLZE3wxRWfOrh3Z8V6LIX721D4de0cmvuEmLMYUN0ZdZcNuePJwbMYQZ+I0Q8haViZn9YhAvwSa9mYw4xWc+fxz/5GQe63rkJdssBuGHDUJ72qqYDTmnAXr7c4THcpbEH+LszAJRuMvQoKyGi++F3Pbh6lkMH2N+3sOdF2Pn0nIA8ECNg6yG18DanqZVa1ExBv8IeXNpAnICznWqLCQR23wJW/N1/ldOtsua5At15PH88GK8csn232fbdZBHG/NzbzTm1C/PrDnwB+P27Kcr0fjx3+9TAlRjVA53ZE639NSt1z4sJ/fYRHMJhb4bFEWT3f++Vk+3NSjmiOQNcjS6uAD7J1q8nBl7QRqDLfa9v+xvYPfNbv6OIioqE7dqeZl33CBrr5iKOLk2p588uP4ATZ677jdLKbO1+gWd7nX3pmvYU8OtRDZUBeq7fa6XGc7sh7bXSZ40BxHbguEzPBDkrPff8Ik6bSY4fLik/ADskIL7MaeiZ8DwWj9mJkSQt4u5N2zQKvb+4XBkC3jVfUsAYxNSt4OFAwxZ07pcJtjIcTPmGxxziovJpUNntmi587Pa5BTqBuoYIgO8r2elZdzqW/KuRTABNcgeisknp7cU3fliM9VnTXnfZBL1013W7+t4O656fZ2zrPiLSAMw2TA5aeUCRSzUvK9SU1tt32Deh7+IuxP5waKD7dOEHAhspjE1X28mliDr+912wO8CDP8E2liIC3d5vfMCkXX3+WGgJMdcEPV4mSWurU2GYKC/lXlgbD3SNDf66p3YY6T5oBelIyuiCeGBVlrjkgwqw0V553L3y9H4krx4iapfG/7gWtu5TUWl7+6791kX+Pw1UmR/Ax0QBXGkgfFLIBI+1u16cVaLvQCCuYmJL8JEviyhlZKXQPb0RK/WdxyvPfF5RhJEoQAeTQPdqipCFMh5PoPVdQTW+DeauOb3bafzxpGpyGtrq/GY/A46DgukCsdhuAlhfe+qRRdeWAfZHj5UHMiUDW4vx1RdrrtsR1ugs05SGoa4fLDRfUhXo1dTRZ49NGSyNZc61IcCJ8Y2y0JORibOguxE9v20LfPCc3nMrCapheoI254ChOtZ7YK+jVvcv7ZDRzQ5vN98iciDGUqtlXUeG377YnyLazI0+ax3UD4nmNQNbQOVvzyCw7+qq11ZCfEotM85iloKGHNDZ44IEC/BC3g7t9XhmrxyYsO3DhQTyR66ob6lpiFV0eHBtGggPDRcD/GVH40QhI1HExNusvLjISCEWyCyLEfCL2futId5uzJp93Bur07kTawXxUxrSQ3byukNMa2vzaMtQ97Z9pHZvEj7Tpu+yg2HWKX2/VlZ13xs7h0XdVPhqaLfzN9Z74/cGMb2VlMmuMC8O8J65Dswb8H+XBJtAsnwlFjJE+fXiovd8QIvgaleU3jMLA6NeP9ajShywrfFIl+JIYa9seUtXaRyjbkhB/+9XlaVcxo2V3MgQMjagig/SrtZuAF4gDlal+1oBfwak6Nny4tiVZRh6DlsxzFEb74xqBYVvmNkBuHpuh0s7fC1o7GrgYKCV+yv3ISYGYLfaJsvJ5QzNle6tM7K3uthMeys3BU36Jvb2R4oPpE9feZUn4BmAN6g4xlPWEE9QPfuAb8A9f2OnUROccTbt+bDss5JRWXolvAcHngQaadkxs12KmGHglIcsvNyljy8H88sSI1sQ0XVuf7nEOcSUnFNgTUYYgr6uUiWzgjN99x5IeDfSuzlonar1P6xqxWsWJKFYv8B/Jq+IUVDEO+cIvDyLVKDPoiBWfxOITxL2An5fH+zLaw1X0E7fuleRsMOY635XcX8nvaAgtZ/ktDljrjlACBrgdm2Jrktg3xT0VQ1PBz6g85NzMYJeL/GF9fD9xeatiZYTKhOb+TunHvtXrLRrG13BDjxqhFkNsZsQ4G3nbshAG4G+vGfhzqEx6/W9Xqt2lhzyK1qru2Bfhs6pyUpZI6vzcCmJjMQTsSQuTLqKwN3TYSEMePTrfCNjyWdD380j6+5ViVzZLwcaf7h0QBlVne5t9Q1cwxcrdpkF/hnkRkoAu4Jl3a/UBZ5K0jIwUgu0C83XqscX8Xw3GOgOwPDvvVX9zQHXOc1pObG8bK8YghBo2SGFWHAM+zsyk+K43RQQT3vg4Zpzg24OgN/OO+DrqFHAtwn41WlWwKdQ2+Oljb7AJ+cJDdgmfGeL3n1x7GcRzW5bIsAgeI5ROph2Qa1yu+Ddr7/JGM8NnyyIgeAv/ZoqPesIOBNgVDpWdxZWT+GjARGhCNNzubGSlvGQAf6mxq92f90v/+AANPJZ3hDpXD64CkKQic0wlYPuF9I6lZ24xXZj1ytOD4A8R18WpA8eYhAW+ITuuVYQhQ9FL0Lid2CjYS2H/nfGMS+xzmN/1bbPdTQ9wb5Pgj8WZmw+kZ1e+Wkz8CDs9Twadk6IronmIzKaKLxRFV7qINkCB4hBO4JfdQHw46wemAm2b9c97IuONTbw/mHie8DR17kNMb6etUKfoEn7lLMdgniM4y9nb05Bw0W41/PgmAJ92G3z5+YJWh30G2iZ31kgqZnGE/Bcd9eq6cpZCHE0fR4j84LPwm+tYAX98jqr3IE+E7qGSpKuJ4CzbRjc9R3PYaXPA/APud3MwKLt6jSDnYK/r2CbIWjTYHrm9jSgwLnK85ebBpuJBwvS9+wF3+i+s1a6eizVpyT/1QU0q/dWWDnEQ2pm0QXiLipkPOlcPY/SnXOwzLPOya2N8I59HFHQlmk/JVl8WcA3Ixn3riBMAU6nRShzsIUe4vhTqGSpLAf883W/fPu9az4Am+XBzWIqJE3QVVgxTofNXtel6Fq+yuiCvAwtrC4m1vXJAbu0Z33mhvTEkRX4zna/JhBbu1N72vCcqaDp9TtjmtH2hb0B2AqXZv/Q91+MyDvEFgqc7Qf3F/cIRAVQ9gbs6oeevQIX73dY7XxvoRuNhO7B/Anxs27XBJ53eYM1N476/Mu+3DPivR2sB8TU3UvrgVbGg+5fwwLAHrDibHtzRbFRgjv3dnAMYiAPx/CzQfcDHMhN1YcD+LkDnnsHH5kA9yjouYoF7NmGycTANvc2A50OTKdMLjRqX/Upz/2vDqmsYmXlMaCPo0qdjPQmWpXHz61VWOyzGvCb0HUXyguAR8SoFAgxoCRm8qi5+Ua5bpueriSYQG+KWvctkWt6L3zgy4b50pUraJCVh8ytbOUVJvijMVWFEXLE3W9ggW8S9JTOTQAfX+hZLHSYqhbim74/kHSTH9Z8LTQXonjUfX2KKLBJYDgyCjs6zGeIha/emAn4BE4Bf4AT7+t1p3O27NRYLsdIuvvn7VrQZVePX8Clc11HWDMf1HYEz3SWO4g7ebqqiZoYbNT7Bl4IHN7b6XN3EjLQblJzp9dMLixHSSDGv+G1gxg+K95v+kbtFmxtHHzapJW1PIi1OYEGZmnkVoBX/WFFkzyzSt/PAffQ5w0Uw/4i2/s5GMuj9en1yM0Q8KA+junrDvEh+uRaD6qU3OQklgKwzQWeaOS9rtWXAw26COs5XYo6RSkfRHmPyvQGCTyyAhysVDegELTNWenZSCMPGGNKWSlwwd97WpW/bP5GArUWKvQASe+MMo9EiUfMRFWWuwft+EM5yoto8sV4cfEQng+2KCFm3iub7ZpxsjI9F5eEffHc6F4qBuPJE5/TBdOwR6S1j3/3DhDXjd9aCu8Y91cShy7wY9AXwTPXvW50T8eoWsUQ7sEH1uoc2FWJq6rMVzR6u4O1OQCGfMPn48oClVmCXwaGno8awB4bhxXv9qt4rSEh/YbJtctwLKzD2tugb3dZiDrQY/VxuKwtfD4NvvTMz/xgKuBVYVcV73b7m6/u6nyAHnSJ5o1cbt+v8Fk2Y5drFrhLfu4ftXrNNoX4Gbk591PdW/NB+AZir/d7dgL6f0QFaCCIo80I2Ge428ZMLjXtgHOIs6CXtaGg/aP0wdZkzM9eSllwFQF+07l1WXB5pAz/1h6+zm3wmXnAA0x4F7tSdK3PXoKNy1P0Zt0Exq+/SOXlsqSusOUFPzeDrgMsdKaxMfeUhuOxnPR5vo97l4EddoxhRoAj7p/As6zkdT6P96b8gdh1aga2R0b3ZCNdkfLOhZ8EBGwZ+L6XGygGcvoJdqNnG/Wy/J3R9ttD6GBPKWifqxxZJUYBccx7o6Nyj7qPIn13OPGmV6zMFRporEzke0Vry11OILYAjy30/DyG7sdQwJ7jGuJwBPEF0xhta78biqDbIn0m0W+Gw8reMMMUq+SNWZennm2ehvIbqNIZONgrV39brB9Ls6oY8AG11gYspLuCP5lZoGpENzHoQPdghnHGujErk1Rw8YNKWeSA8chmae33uvYpJnEnQEPeD9a0lZboBP8C7Z2Ybf/1NweBlQr4xGS1ACrATVA7PJZqREqsH9dG5wrHes7OfG//4Z0DazukPsuaUeSwbgo935/5PzxM0BiWDemdit6eiDPQ1ibEFPTKMx9wnDgtm556jjwwL9YGKK7jsBYcdM4Z/gwUhBxm8BUPVauygN2mYOPPVvdMHtz4CDGiMWVCSXg5UhEeoxB0PX6Tw8VsomTa/53b3GxiT2ul6wzjLs5t+dOGKOQcXY4lU7pfA6iWk66r/81lHMQj48DzWTISA/yJVythEzuy1EQlDuE9zQY4ZsunS6VEyIL2wcu/9+qbwK1TlvDcErvKFIagm3tKUJqOHSGDuR6jZV/biX8cKgdiLug9gXGE9X3CDWKYl8XiBjHsJ4MYBhzV+Zeb4HYylC7VNTXhn4Y9ySBZi0i4RLUGWluII/MbD1Jg7li1puwzsMva90Sle93rwgRf6F4Twd5kYz60j9rAtB0kystpBc68PfaAw1vg4JHYpsBzicVe36XnmZCcTaEcjHtGkZ8bEmKBJ44k0T1j+jRI3rJ46gSh/8XZjaKhnreghNB5xyXeHkc2pz5eiIU9zrytMKgDzyxYIERjdOWrLgDs5FGHyVb2swnaIMhJl+teEPuVLdXz/U6tJQeMsuv46wrr9Qlae2WGnufY1c1W64HWAH2zA/tZeOlNWQjsmskFA39o6OIh9tfPAeX9UlVndkhLb58GOz3vPAdtfEXBBmxpegM9aSMD+NP5yxHb9zvhoBvA9wVP0tqa7xBjgZdg3QMxRIOLs5I+SU9XrP091r2skhce6jkFDzIkYMvCZRG81y/X1Oc8s0Oj0Gj+1UqAf+IdcKUz6ZMfwi7rEbC9Al5MQmkxMzznfHNolUwpDZzjOcnksDMOhvkA/31xgFttC1MMiZNbwNMs96I5Mjb6RZ9H18OXiyLw9Vhsm/LDoBr7e+U3AUoKQ6DGbO0cWFC69td2VHsR4p30e/fYz1kBHLoepx/qpy9+qM/j74dV995DKegPnZuqD1ln6QOnNr4eGUhHFt1MYpkoNVsXeOI38hOEwV4FxMtqVHkRtw4KZSGes0IU65lIcXF6d2CPIUZ3rzr6Ky/D4DgCDlBEioD1KQkVcMUFnbHOzy6A95Qt0XVW+Kn7i2BT7A8WfYI9Z/kQrmxMPveWniX98ZCWec38AHTwxklNiXQPgWOQvLReBDpLkO1m5LDvbTwtLdgSMRLnSL7gOfCt7R8m8TEF/6TAFWuuADtLT88BPwNXGZk+9yNi3zJFRfxxFeVEWx87sA+AM5WZkeB1/7XuTfFohu5QRImle4UC+mktF4DOfaQU9BJJdhK0JvHp2nD0A/pT37csYg1s0FoGfLnFbPHMaHgCrAQ9JmdMku7YS53XFx2L+VVfCZyye+BhLnVNnM6tpiM7VYa7Az6DUDiBzZip6L8WYSOIbzu79fNFUPMq6e/M0Lff+SljegesUDnoOjGwHxrDM8RJX/XMYKH3uk9hvAc7U+iHmfKBfKWyKNwVoHULghXm3Qo4h7T+4sCVsZ08Bb+4hLvVMdjoeRCX3/plgvJ2aB3uq0Ge+zvwaEpOG0ecMc94/rLDn8pEJ8rCJGftmo/q3BrTIiOWHsfp7WB0MWHgy2ur8zk52OparKkLf14djPBEBxfh0dNnFlz6O7OwzANw0XO9ahzcPJEV7mgZvnqYJAXX49gEcGLDSTnwg6i3cBDeSDnVkiTA9ULR+LiC9/7GvYqIL5aKTiY2cqNiMq95CjwA7Gj77mQgRQ+AhfW5i4AHeVnxfsXUeeVVWvRcXdEaZqwXwE2qtWH0ga1J5w3ccH97iLJa0t7RubDPA3B+XR8mdJ6omsp67FxmT+HxdDPbyL1Ls3vkRre2gbpTPbOCJz1gSPhnG8ZtlcD7iOqKf2eNUlRlvyLAn3btfvBweRJLPgFbPkHrPYsyXcT4YR99Df1dmiuVgg79FkZoc/plQ0yZigH7PGL6rB9lEX7VL+eSeSbg48pZ7+q7MWroGkFxZXwec9BL8N0L6B3F1KTo+TeH7hNH80yBX7dmt091bxkbLw1h1nFE38R6POqS3oH/bYGfg5+q111AUKyhwfWsLqvb5j2aAHuMood4G5lv1bAhEp6VxqHFBmU1fkclZ7O0MZJjdyVDCFxq58J76Vw0wK8Nroin/5uCRr/83uGv3X95RDfgZmFOuRTIDNyCfJjid6ac+YMYdds+QRVBb8DNCQJfkdE7aKgFeHOSA3cbRIRzCbhX2RcbEbYFH7sBTzBptDMbK1l0H4jaxq/7L1YbN9Cbc9zaLMiC1uYMjCnoQD/hJLcw6P8EcCvct4G86l5NZNh0sN8Q24AdBjKsWLiXelZc2Lv8LAdmipqVuOdh9WgizXP/6nw9bISwt/oOJTVa3hsk9HLgtoiXEG8tMbTWl/avtfBFB7ZgHazk2agOcZ4M8Nz3im+Wptf9y78cwLiY9l3KBrDJ+MvAllmy6G+mJMQowDblHaQx4XSsIM4HbhqIB6ciAXVwIlFvAtZ/cr7c5IDHpvRc0BdKvztgcp0a5kxNllQ22ODv/TLolpDl1Yjvx0AmiOSvHLMBOMIbjtNXfsxvTTh8vykZS4F/ccDHgoIOzaKdIUIRpkZ1T40u2duBAby+OMZel9r5Ez5fAP7gRiXfYt092r77zjh1UfjXa/F3fjxj8g57zyWbToDDO7EqTEvd88aFqCYwVwnwP/E4gN6HfX1j/PFEwxIDtB0KK6GFeXEPuj/Bb09WiIFm9Sisd7Pw4bmC+XXmUMF3eMCvL8y46Z6rCdYz3q1pbKJwy3pZoXjag2Zb0mDjtNQtdQ9kHKgeB5sH/L+341k4wPU+U2NZdQ1i3id+bnqhjL0tI92c8eR1T2Q0prpSE3wwmqdj/7gW1mQR1jppPD0Z32yrc5igkPHsVztsGPw/B+LXk3MHMOBrrYbuLTXza26wz6J3zMJIirrUeaLqDbzurPOz/vbrnF/FgBa5Bs/i7Nk0BI3EMfD3aT5Y7C7GaaSgjxH70H15wYaTB8RvB4E23NsQsozws43Sa1GyHSo9X9eFkAjfcTGnyPRcfZ7wOt+Ad73DO5A0xhMzVAD7lUmVPiXFQnP/xlomWeYPWXaXGngM8H7dOzqVBu7bYQ4zjgE7vEc1oF0xKhvWeVefpb4bfkM87PS8h9f9MmBagcIkhnU1D6aeE70DXtPdcy4uWM/b+NX9Gz3rD/TY7tqqpOQ80D2h91yhEDhbDFi9kPMHaFQ1F3bXyR6fhRk+KzsUfOxec8Atafd2EaUrZV/3/HRzGjM8IavLID7dQY9RwBy3DhYjBX8mEK8bH31CzLck4KjuF1QP6SpLzNuy031J6mpYzigW6/4J8Yikz2pwX7XS4XFMLIixO+BCeWVerhRiNyrms56NgS331mrOx9UFtGa/N8SpZRinxfu97pELHM/ggflZ67tGujwq4D6gY8e9fTGLcPcABfYmht0rVj7h90be7+x0u9mTYKoLOr3VwAvJqArdN5ZAvC0G51EVMwP+F+5XqfSsDeBMEyLt9WDja63k295ALj7NAWUiY6vMqjLp6jGZ9TzU17kN6t1JBkL3WRhSI1hSPp1I+bEQW4HeRULa3Z2SxGpiMRW/eV5zUp1bnYt7x/7O0l1TQB+DbfZmwbwA1pbn69e1UcD9Kbs1BL36Y6/yjLeUJZ4+k8x89pnqOlVz54oA5ZjKBY3yRoG7//ZhZyoF+3YgmiwQctLcuoFGxX0aOQZhqNpbwgK+p2tRQz3DsIYYkAKXe50D4DC9t1ZyOFKWAncHP8TgL1MpaOeQoEO6B01NXd7yruc8fFCFS2a1NtjPla1U91OyajO4i2A6kDC3KpouxYjWIxNLa4oSeHL/Oks5gharxs5vgzDNqXgDXHYbWzkkntaD6U0VrFlhqHtefl2RTde2eHcF172k5oSBz7VjaMJad8Dd7YwBp+fzW2VhEzQeo8/53g7vr/ONvd7zxjIs0Es6384QJcsOK/7Mh02R+egbQ3QX0ZyCbrAzOv/U552lc8sy/8vJQvXNQP8yjijo+DddCykHeqXnkDOFD0JXa/m7V66IA3rIzspJNaeNvu9QR9ARwrrYxE9WESmXBl8mosDz+QU0bv6E+BzXgCO49FL63ICtPBwBPLg+i7wxxQL80KxJV+Z265AefzfP+XVPpMCySgJ6O/21Y7CjOCkZA3YMtLphSJ+JB9IMgadrXrJg0Jc14mISoXxDEHqyl62U1b1e0/veCizgBqw+bUhD9T2VevF5Lw2latdwbE0WNr8zVEGb6N7hwDY5V5+tH8awnryJGT8qpDEL+BGGNVUDteY9UgwDNxpr4FKpHTp1MN8w0/ebO4eOHcX93zzEHWGgWwbZoai/YxVYueV+NrH3hOe65wN7ApdcycjyemUJtZIY7Bhio6LwNLwxlrOIk8tvLmqJ59RnOfOTGzrNPeGmi/rlhH30uifSfcU7ZgYWh7XKqfmpZ9Rx2Fc+oBzis42MiRBjcttVAF9JsszvuhT0V63r2kDLH/2va9Ebrp7ZUHB5z20vFYNbtMBrqLGZDysy/uIXT4RYQXdbcwfcw6nBHgj4MQlMs1CqlL3U/esw4DliEPv2Rvd99PP7wdb1zBtd9/udRRNwys32yJXBzN5sziqXEQZbwx0a+1duzye2GegTwyQGG7gvh0qFA9gx53EFGqLzCsPt0jERTYiK4vylZ5p26fPdBA+KOGETrLdTETXAex5qpeixrKxGebpuh2Q+VqDFXjlm8FwqklFyq7fzgFbdjy+hpN/ouQYVBmsk/PKvtqWU33W0VFLPjQAeVpwDC9uhOobJ7Ug3c2tOnK27K4mTLTnNRm2jGbiIf6SvGdYzRyWqcIyZ5KaAuH7iZ/bNOXhl6d35iDmlYUIDVaY9aIe40x3bDEGQgVbh5gMwjV6uJAar5+8Wj6b8YAPns6v73swfgAHwluFrDp2Rqo9nVrYu8I07jlCYBrpecCqOZ3bQc+5Bu7ukVLU4hwEyllsWJVewGYqDORXsAviEnWPvfoLmskG780KF5J8PdKng7Hn0w9e9uZ519abzMMkZdl5h52CJRx3vXBwllEeS5WUI/p5YArCuAeyqh810PIPt2NOKYllAnE5hLQGksM7D+SlMjyLV7cFewZ6TqFhf+QC3axOJH0RlKYaNUfGbUY3Jko5sbq0NMHr0W4+i7ysypp5sCEBve9/1GXhykDCma52C5FTTjUH1HDbi/SBjBo3WfTaDs6JzBbHYe/F5fUex4kEaknd6TzNhJwLi5b0tE781wgL3IqntkEglvNwMvYLujAaALS+TRw76vR1EebDpnRpungJHa/spLCyQUvY0gkp5UPuvZh+BX65p9LiDwnmCLXQigvcBu2ht9cYhpqIR+TV3HyRw7SZKGFfq9tsDiJpeHQZ2q/nPWTJiiGfT57Dvesqn3ALnuVc9Rogur++KYf+GZhAxj3XeSTfQSOHUVxlgDXCgh6trGYtgB2v3pfMSdmmPDKqkQUaI3dHUg16PSXQBbEc/EBe7opgpG9DtSNAWB+aOWctrdtW9Dtn1YBn3JkycAjQseQKH6VV9LHGZA+cT9vQDXP2ersnbUc85CbsH8KDpYKKSQtwCfTUd7GpFpowlYYMY02cdT70k+E6i9gF883XXtqOjp+cgRcAVwJ+m7yamK2in8GBsDrmJMsCu37yh2k8efES59DsILmGHg7AnJLkXljynEao4R0/g4GHK1b3l8kkBJ+FnTBT/nfdaiLrAHXReJbbr35zbxD8YS51SdWfsy20HiJUE/u6AfyqmaMtzJyvxDbRkDs9THMfulI/AgrazCdjpIr4ZcbD85mhUumZ1YH/5G/yMLhWjCxmAGEFMrgPg9RHDwkQ3iM3fyJf3jHVPQsAH+83P8RzOqMyfelIsDxLNPVw+qF7XqaLtzdT3wNQPTDmGB8DLWt+3//ddruTAgSjQcqI5c+7C+nMSVLagqXlUH+Zx/LL31uYC3GDCY+rwyBR7Y7MFXsAgJt4RSybgS5M0AUENNUqagrbNXQR7JYzAwPbupSshSn84HLgCPc0POnRzywMHeIuB7E73mgIOurseo06lPGFkyDVXfYIuXJghYz3nsR3xCfbOA8Y5gUZ8Sw1H58So4oydOvQ+kXl5fRduz8xsTHln49eDWMJOz7CCFrKR721rmw1ZrH7oVmu7Sfddm0kcmtTCn4xgrS8/QSM4OfH8qvR+azeB533K4navh/x5sKUojOm1hk7dB2sde6hQ3hb4o4L4DlYI2jD6stLnHGCqkizEJ8rQk4BWrIfbncaqJ+fg2Si5TftNlMX4u7BVXyk5tqRbspgBx/csOSIEOu3Fe4fD2oMPVaauS2YUbHXNV2Y8rGNfAe7PLmBPDJwnKob5B0cXK+cTYCvbHvuOC50zHci5BXz9naMZTSYbp0mwnb6DWcACd40Sr3ui8GCZB8k3fG8nUW4ss+axNWcZCroCuFKEy2ROFUsKffbr61kwMqCK7QjBAwb2+zvzzs71zNS77lMMPrZP10rfUY3HWJ6kn76w95DbqMu544gg1Hm2Oj/9R9/1gtZ84KECfOvAD7rLUffrpZOVbTe6Lts6nhNx/D2TUFOt7xyjTXIw8L0x0KLnmEjNC0ZpS+ALrzxY0I02xMKOBYjpO/KK6U5+GwJ4MctBBVoLNKvKRJDY+fqxSFiff3mu+m6UXSVPTeZTA75LAY9wcKiAj00hDQTocOVVpvqb5QeK4wbPeq3W1BQhXgVVEcSObWVtOog9P8dgAia40/0wyB54YW7qHByZ7dcuIbx66FmezOiXIob9PYcnEWOiz3+ZEmUWII/44cs2vlOmIsCpig2Oc/TRWxN0t3zFS83UDvzkdmRo/zsxNHhYGDhaPugZ9/mCg4uNY6Q1FAPuRvT5mTAed+l/6RoyiPeTW5ms4FS87qSm5lzdIaaDL7IcGBv8utJziO96VjPp383GDuPaUD1T4U9tyrMotH5vHxJ4SxZMueDTDnSvtTdDzTEyOk6Yhfla2F2t65EI+5tvrntuAybivhiZiwLsUlPkCDQyUolKS93nWp703OJc554CRrOov2ZMz4XMHUF6B7HJzKixipHaPJY8I10muQAcBgzVfeqG24vb5NgMjCJwk8aeaNUv55zPFznu1qpkM8S9H95Pt3RIgOuLAp5LHWPvDbjTG6HzXfAuababDGK+SY0pbNTvOd0NtMdMjQVDnPyNG/99l58b1bUhkuRW2KGVOsTsr6nZWjpfTPr5VarwUUQ7F9aPwIZvYQ22tUKooMETWcwquLGAbge2h+P8tPk8hiKuwyQQCt/TAKfSav/6wNRjMqEIfRaRuz/y1KE+tYnqIBwy4H/SxjQZC/r+gHj9KQyd7yJ1Ps5K7AvoRAr22991D539mug55Ij09NEO4Vuja0ZNsd0b4evu5gC83Ybnmfb25Qn7mRCiMe/9CtgjUip/irNQaeDAfsgJcJekoLvA9k51YOY1cAvYr9tv3lAUYsxlVVO2FQYyU9X5sE5PeJbXOZvT8PbB9aw/a3EOTz2vDV3B/9548HU/9i3EkO7Z8nABm+mZLfW9G2a291kbXX0c1SLKxD3yi57vVufga8KQ3m+ei491nqkJ/vqaU0zQKGAfwP781k37edJ9qlI62boPf2N7A/CBPfHlJV2lg37XmeozNeuX/+mcl0DmwInvevZSM+yeum9AEQk/DeQuB/7WUvd1LuoWY/ddmxj4iXK48gBx8BVsj1EWzscANPfgKmLLC/CeALTiVVq/OQR67uLncWyvtARY58tPO7I7s0xYg3kG/aHPDdN81Xdvf3PoAI8BJxgrhe+J9HS7slV2reXquVGIRi7Vuq6x1Ai8XNfKViKYPumoOhKGEA/Fgq1l0fltXAnOw519sHLQE8tnGnZMDPK5B83133cVlIlIxoxmvs6L6N721uMpy3+1Y0UvFhTpXjC6BwcLIa4k1Rmk+OjpXtwY696mvcvh10Oje6pwM2lLNAIfn6pz9WDGXAv2N1Ny0DUrrS0jamJfMFWDjT/5kBpN1OV1WIEufncE8IPqOZtN6AEnSOpUJbeDDTy1VC4OuzSNurC2lJEbuEYjE+lZqoP95SBjEzR+77xqYSiTg1BeUgAWUl4tZAT/YfTBejaBviXHQZCUokfNLhABP9aDhWsSe73Gxorjz9RColZM4x5wZp3freBP8DMv5YGunoEJfvGNbU4rsxkTfd5X18DR9P2i4AhXKgFNEvJjOaWgY3/vZohlPCA+DuAbdmpB1OC4h42C/cM2cAzwl6QCPrc2qwDuu6ySmro+9oW9Az9D3O2XSFfdiyi9AocCm0C8pmYHWOsLKwmAwydVz6xWiVs1fkGkY0llgWYckoX1+UL0XDkWUnzaOFLnv/koODw3P6meLxO8OPZcSp+6+r5Z39GDprkCB9MxxoL44uAAD8VZOW2krlk88Ubhcz3qWgXmEMNZqLUzi3MHxrL5lqF8sFGe97BrbV89gPIHh7WycuCLfzkwSgEutc+UfOl+gIeqR+UxZBX1ZQH86NTqvpnwzo0vBLzqnNHuBrq6ECXEoNirj8QDbSLGOkJ6nvslpbM+D4P1kQvY60yKzatPoIHXMG3K8ERoajAOSFayCJjo6V9ti/OsehfiivjBdqLvfM0i6L7z8eMqOHVlP4MOn//lTD83WTUsnJUYeKQIGd/UdFDA4bpXXOZAxQ4VE0ELu8wYszFoujpqr0SvD599YPY3sGd9B/WkuoZyxUYah5dK10jayU9OjTvs9+UIWrwiqmqemxr2FvBgWSj4Dwker3ObuA0SArG8p8Gi+1l2wPdABXRGW2JFdI0wWE3LTQJx0YWfnaXtGZQvbhECJwm1/mxdaUK8Ovdm07t1reeMrL0JtrqmxQ3086u/zYz4aZOl/buLLD0XQM7ghz+wxt/oDBprxBE2mCDlh+bVpwI+AlY5YWdvzAn2gMsp0auQl7pXcOtm3F3ZoHDRh/oO637QuZ7nv7lmOpfRReWk9vb03QZLVRWb9GBf7rKfOsBoCr4f4TBcmkAB//Gmg9ECz551DfwVD8BNLPANG/ww2uyasjLTaEI54FxlQSzwvfNhlS/s3cM6vxXR+x309g9gxplQbB1sav+e94Mi5HFgH33mND3sWZQ6+LnJc/IF0d80waYSyt3yYDIDePhDn4kD50oAt/UdMU4Hs4R9fXHR76rvyspmOTZwT4DHYiKuzKyWjIX17zvHEtVWcAd+jWT0/oQ4/MnPwQNs0WbGO+DzZLTFnOYliqTNPrH/oedxWGTonKyYp+Lc/+VIk37OC76hKFpuwI1mqaYop3PAfMGBd47pKM5tJBemAhsrldYKPlt5uhZ6FX3n7C3l1Gb4/+PAW9MvWWPjUteP1MBH/+o4hkVz4kr4CcjSaQaMMVJe2XpiWvN8vxaG+U3sjwcxL7rPVF7Eky0MIFJr+yjMsALumMN3FEj33LBbkwZ4ZmGna1d/ZxUwk73yNz4lfXezsnu0VvCsh7Cvnu8PwSoL+x3oNRwB1p3rtdO5TVUGeq+1mZWvCFia8CA+V+DbDAEPzo0QNDn70f2iIF7C/gKXDyTEced/2EsU2JJ6pOePaxqjKLdkxIb8ka/Arwb6RKZiWm/p3uDCV6oywxPtdW5JdQWbKatSLS2XU74q8FFlsNPNrdfAAQ12J9sNaIm/HLN9DvFaEFVU/QzvIy4FT6KKz5wPywq6OG8AuwsDYp+V2s0ZGbrfLehM5wBxaw9rTCPjzuFnOAf+V3pZetooRLse9OpaGZdH43svnfI8jiFCatJnP0NLl7mw+0fdT+cUkK0JJpzaDLh9etV5sMVarWTYOCl1rzq/WwzuoTC7Ug6hVRjiABhXQBx2Czt4ptQMhSnAF/5qb63MD9+Ax20F7EJldmEWJgw4dLlfmV/DuxUQFbKSgY993Rue/t6r01i8STNYpIXGlIUe1ndMsDeN/fFs1XQDvnsRdkJY7zLEX3XZtwdwP0ZGhI+D+j72C/jH172NdU8FjFsD/DhCIxm7cx395ncMgBUhjaaCrbC/gWMJVVm/ccAKnzwCp4hYDDrzzrjpkAhdUyZf7/Wzh0iNVNe1PnABowuOvrTrNbGbIMQ57xy8qlnPbiEWYPo/XMkhXonj4H6Dbdgt2F1jK4h3bGoGdzpAjAONM+Vn+qwNOUrjb45qXPTLDzHpyuLkIFmoa6tT2Yc7rO/s19TNuRvUxgZ4hyqpvmtZlZWaCWCwrkEAHzcmVSlPMRZmknhxsYb72oI42y8lU3qeR/fq6aT7n3RZqGsT2PUYdm949NImMjnwac3rt6Tsfpi+Xz73wDMV56R6Vhw4IMPfe5u5KZhAU7JTyxMnN24u4GMuy8Bs/QS4MvZqHr44gIsG5je8O6FBddhKFHAvfQa+oz2jh/XLoMW7mcI6gQZ35CAtBjpea3XsI3h/YUt1MXS/9sp4dxqmcwjeHT7onrfA/4wE9kG+1tCBCAXhtPPrcfesxymE9ahr8PmCvHIj3bf6LN6qcrrna2gIijtceqXozYfs3d/8e7SdM9ApE7UWwAZkp8bUHwNsIAt3PHLd15l53mt+iPP2rE51fDF1X5ravBhHBnw9EhT21oD4ueV00TU6XqHAd/qpz20msA38wWZ+qqSDzU5XFAKp17nfci8UKjL6r07kdc7WjN0P7R92zRMP99MJcaFzPQD3MOiG/tqGGKIeI6kfWvjcKaJQioIJMdD4YHPOMZqCZtU5MRAvRvA/wI7cQNHewELy/gF7+vanU57zLi29pVG5qbGV8QA0KKsQY7ecIF4YIQL+ZCFD94bJrXZMZojVLqFfbsqQIsH8XQy5kZepdQxEx+hG55IXTax0P3utW/76tBM1gRaCdx27Ey+TCo/iSag8ZRQ4yll9ksg00Wk294b7WYBuaweRFk/gkav39p/t3I/Fb671sx1w2vqh2WznW2NPSRolTlpsXmcOXW1WNmaJK9dwQXHi5ZbOV0Q/ZLgswKueEP4evF8CtnrPioJmCRThAQtFgA40+gKFM32DbXAZg99tN3cZ7+7CR3PLxYpDr5CG8dLLOWfdm2DBqmdBpREe0zAs9qZIhdnpvsRrzZIImeEljfv1GCuIuTezDdy89b3P5px84hHr87Y7MgBnaJcWA3oiW/fIkQYGnMZG+NfXkZx1nXnCwP52EJeLIsIFeW5O9SAnXRuUgeHgqFr2lmMRa0rAi8NjCDGtrAyskChGBrG+OxSg2VA0U9FXLloZ8IfQKXg4w/6+zsw5YBBm1pSTYDlg7o5Mqf/qDMVORJstaM2fJgZetXZxwVldDQ87K3s7JWLU9yhyO3+nZm/XbLIzuuh7pcu/nk7dJ+5zp/7fTK6zjLBfU+eOwX5y2lug0QAj2f9x9W7brepK1+grcTBpw5chRmBs5CB0AN0BcgsGgYlNbMzT75IznfX9+2K2NdeYI7ERpV69S1W9ftIlBl0x2mWgQa+u7scIyXrTfGb91T2Ifx7wkuLZ69aChtbvoM/YAjoCQyawqz7OZMc82Hv7JEf8lVMqnbgiJHOiR1aIWBYUd2m3/qiXrUvN3aKlmzKbWjPXOQnWtBarubILrw4QTXsem/OMmsoDdwNPfPxzVD4uwO9LtYm7vQPctNu+elR/DkiObPDvO4cXCdXPmgkl5mc/c2WPU2X8WzXkQxed4Hu23Fl3wOekiqQuB304sulbcLlNc+5L55+XMdCKEcKHDceV5hfe85fWY7VGduLqz2eO77w7d7ymikjKQyL2rjnv8ztuPFtEvKVLM1ch8JeBAP9Prb3xis99l1prKkPytnPUwdwbSNC1KjJ1Yx7g5/zihy4OC8hoiaesNWItAk0y8awlwE3HklnEqqmKD1GzKjsSZSEGTv0FeYAvR9BxZr4Uods5c5BTmbNnxwPwGn3A9g/AqQ2x2CWjf173h4piycL4OzNzJ80N4wJcZumsAzez0Hzz/+009808oaXckKLsdEsifjUekTXsqazlZ9Epv3SaVNr4IEwvc/ucQbRNT1NfL+rl4e8wx14B79wCrha4vxtfJw0M0ZVDsZLPMwVyS1rYQM9ZA+uSIOCF3bxXrjYzR20Cewk45pYs/uf++V3lilt4pdxxSgLITeHfGnIazkNN2S3tJgS5UO/trcOQdo+Bh0DfhIwRlLnPegAkPq4P0HAPdZoKU/cAFMr03uBnzwLyv7FjeYqiE+maiS7oCtphkujlVzn1gJv7VNiOivjALXSocn1PGQoOgm+NlqpaZbw3FoP3KZWGS0GAA+b1EIk03oJWMnfX5yOKSQYqHXJAW+nzDNo4460yTnEv7P0RUWGJ3lvSbp5Buz9SFxnPSDsZEKtNL2C23iWhTpU1f8Oa8iSEP9dSHkLuMEufDO6bXkNqJRfJUV7ApoG4Mr24guuYm97aV65kHRlKtJ0Pm8QD3uzvXJyn/dcdHu1Ozb03cL7y4wpY6uFDGB9IMNvk936lZS0esfGDG8hYBv88iNXPwpGm5gI4x8gLiAwzK+uF84XDkyp/X2BdTY065NjG9IOdWIiBIyrAr/rCO4VBD+VYvz95rxhiLFrDsVcesdaxdJseW5O/t9YN7u4XjgIH+OoEWHX9f710mp9jy2zWx3vId3fWxX252d7hd39nT28oDciOTzSwARPHD8oKyFP/bvViZtFuLzhEU+KkdtU2AYNdzrPrLYHva2Yq13Rrs//VVbrJ458lB+PHT0CJxE7ZqvGosZ/2aqPad48687PHuLSYZ37W+NoB13k7DuND0XQ2vqZ7iwB66UABrpk5KMxprEIwMwNvOdBXv/l0TgbgX+xsfKj2xj857f+tqD2amZ8f6SBNH/yYhIFdMc94BT64LZ2iTS88bBoBmlkinRvdyoG3KmHO4eZDEjVBFtg9C3BL0PjnpcOW2uahtLPh61HTwFJd8338AP1sKvDarVeK7lE6yOUI/RzD1YOG67PYFKDB0K1y1qPqTGf4eqtawE/LnkwepJy7tPfMvHDj8fg6BzibnskjU9+ijycR4qSyEXnul9ArajPLmRp/1vUA/DPj4creORLjbP1JgQNQC+Jg8I3votHHdtkmFxxBTs2bhgYxLwbUKhe/eK9T2fit7C14Vx1gN99Wva1p/uWwDahml/yAdvnhVDpM4DfAJllb0wUwbcOD8/23nu1ssSFuYN1SgYhXMdODUJtzAuMpGf+feTdvciM18MN7Fo4rnNcLWeKbCpshpcavddxUrR8Baw/LQB2yJU6KVjl792thoNNwtLUPeQ18IHmARgPNT+ydzQXwkgumRNbAjmorfs0m8HYLPqkN/lGD6XcArKbNQ2yMhkCgYT3Q5YGFc/VNAr7jgSpAL2wqZ94pe3yT4XPuzwD8f6s2oE1dYiWO2hIxGc+gBrTTt7kyfvFebgePisYR5To/5PIbDzVoXWtOOgn5CW3UwkPMyMRdDR+MjA8doQ5od21mp5xvVYcIaLqOwn7EVHumX0+ANk+c+10w7Juaz/8+K0mYKoBfOVh4SQ16UDJbZiHKQH8BvnoP1jOr2pC87L2VtPAJ8vapCseROrrJgIswiPWUPXtYUdZ+eRgBngbxN9dyn1jwDGz1qt/4rHhtiyBOcCvvIpiyQ4SAm8OqmvMvxEVhywvNEVJRd1Gn68V8T9ryiaDmZ28Flgx49jwHoz48U5wnbM4p8Adi/ND6Zi77P6/gTx6gczXw9hioW6I17MnzHXg9Bu2wqTrYHwK0gSVn9rGWtEst+Fngz3oucv9ampkZXbDKwrNt3BZq1IBe8P0y2DpFh0xN8wrb8V+vtLm/UkH99IqD5wYcTL2yxywRk5mZFJpZYKbWG/LeGWI7AX1PcdAsO1cK/FjvE+O7j7isUSwSG/ivzWPlNpss8i3AbtBt+NUzIo1fBvzsRZqJp9p/ZB05ELP+gh+UlongiZP19wvlyvgW74Abb54+Zd0UH3JQfI53rUL0mQg9HIJ1QCCukycfUT7uvi7Ak14ekh12ZtirsQX7JxSA5SXyPRaoJ4/cO79z2gu3vgsk3XIAPIRVzZ4zH5ALXPSbOrwE/MpTLs3BlZlOvYjTOpBhfC+ciRaOetVwrpIB870d714ciwDkp65fYqHfitNUVt36mwaQgxc/JZH2ZdtcyoD4MsIPSc1MIJUfPtaHo/EdGbBdPuNnHdP+fita4KjDX027KY49Jx/TBJl6W3RKVkhS0ANLYeZYuP69dnF0HOpbvdGFmX3FxZwBd3mD77eUQre0m8+cS6/WZAbFVRxBL8M+LbP23bjcPOrQ+/PFknb8wVj8liF/C2r3SqIxyWzITWEjuNAB7mY/o+8zj9R36kwN8PG8zhuR8Ebsl8RmnQQGjC6p0UXh3NbOfKmdsy3DrfFl+ixD+3962S2WKgQwQuoGutsCPEwoCMCSm/jmXunYI4+4D/p+JTfkp4TVTJZudQD5wUHj10Pn8QEVBLDK1Jiw3n4kXN8SRJ7zx5llv95XLxEgbjjTdNh61RDnpOvmerOdi75ZqPid9QFxE6WmnxlpnYGW2FvNCWJiy6w1cDD0Xbn6kLTdTQbxT9XPRmOBqEOi4jIxs1Jf2oG7cY/79Tdx5XfZN2HV60aFnfHAcTOXHArbP0P+dyodGKy78uC6PGsZQ8Bpa70opGkZ6ohEipDQ2xJbljVoWK5JwIKvlbLGxx/fAPpVC/hdLL3BXjg8vQEGWUIud1PRnFmohOwbctzEh6S/P3ZL7IkA9Cr3QZeMe/iO7TFMZhJMbZmjc8mJVViwHi7+rPLzDbT1q97mqoS3z7g0PoJl0tln6ZDvI403GCV2LWzjAx4UjJCSmXMj+cMoB50Ud6XDOR6aVWF5Mfx7mwmJqI3vLATcbOXF+PMy5pmakf9fTbvysw6FR9EYT6d7KdYxqPgD6SbMBgQaqxloXsBzI1oKm0Pcn+u2YUfux/Dsbs3wwgK0kZa8gA6zQRMFB97Ye+v6UK76P74iqXUQ88T78UEDPWUUp5ll28yJH6DTAI/QpQTRloB+TpZ0STr0U4bEkcFI9i7vk6BhtIvNHfFP1jY9gdye2mjcufxHdevrMVy/sHfL6bup6XKxRl7VFaAD+TkJgYNanjiiMQbFuzBT3x/MO2k8aJH/AG2Z4Q3a7OzCMTMjgSPDnh8ntcQkGeThye8XnGP05UCefemUHXAoIE58dwjOSwW6CDhiJyPZJ8Bjj6Zud9g+YD0TtsGN6IMltYjxKV8E8qV0vItybHZA8VjawEXswCrdxBLUHwCnCbxn40vx4vOtQOcH7G2rHkakWvxd98EMHAjWNbZ2j8kphOmzA+7ekush74x/b1xDvKgh3meIRJihy5FjmTIeC/F1ExvZP/Gx16Bt6we1xvOLz1P4bMCVj8r2QcNrX0XBI+sTM5vlWvSor9xk/q1hMr7N/zz45yKi8W3vNl392yMZp8AHjyY3mdvgbPpWofU4RvB+n71/wUt/nQ7M3uBgutNQ0wJiSobzlERqb/wcEvFlm5m5sMb7w0ZndR57FPbRATVjEpBb2QbAPZUnF3SSTqwJZcAVFUp64Hv2eTm22wd3yIv3NpC/3gClgGvFD4ipXT1sQasA89I6qOwRtA/6NGuPW1NDgWW2SW5SdI769eMgnEkBCTXDnJxBPznKsVa8J4z2HUSVNl4WL37YlP08QszOZThH2WndA3+GvK0DbtlzytWzd/oYNB0P+C3jX96xv66UmCZmjbHp/dvZ488hb6ZKrDf7ZetkkUqrfloV/fT01gH98Oo3t39jmdzJoLO0Gzcs4Ne6a1KMdEue8/JkU1C/KTt+ykJp9Ltjzi9A4xWixZC/x0G6tZeJ6cZRegduedk5PANtZR/79RvfoNdeHqlLPBXa35ALga3EB+CBzzo9InB7jNQnsYOLqQ0rtJyAs/jUQiW1ikva2Sti/K0YuwN/myT13zjCfsKV6bkJags/2JDC577mFE/mfuymkHyUH9Mbtsx8afhuIegkzU/HTjXHiM91hBssSFZ2gbdfgjl11UdCdQY8+LMO1Lnu7aUC3lX1pkdaA7PU8LueA3JWwDteufI7s/VSLM81MrMxAf+M/xRw/1wvdQSIEcSRoHEoOg/B+7nDHvNkDvHezUxGxVJzvCsGGWS9Bl3g37kYTa/OqezsxtSn1O2fV1Vq5sSRyC+SDV+JDvepsK+JaHgqvKGwgnup8bW29QPe/Q+3dCc7Ymp3T3T4shVXBQ75toyUa85aMw0cjLElg+QFlPtHOV7HrL8++qAaZKu06TlCJeTHvoLYhvi3gC8B1ydn44UFv2cjEdmoXu9B31k7axxqt7NL02PZj2UFWiR1pF9FgME95CBzDhcqvV/UNxWvma1XrwqmLX5MV+DeZYZQe+SkYyh18aZJIbabwvVvtFv/9ro73u0Ykb3JGSVwSuCO496W1PTZVwJBzoXlgAxNzBnLonQymL4i/TpzcKoBPShCmyRUNmDvrXR1DNzZzHHi1FalRNuZouSesngD/wypS7IkWwvj17t3ZIF7yXHkfyfAeEDfugXDoOHSOz2t98DP50KsX/d6oAv1lMJzHzs8pLrZMobj1MzSGGD9GGkJ96+QcwCfiQCc+vXRyrs7cPE8EQSXG4BdG7jAb21xkoWYQ54sa66utdWUcuO/YmNbLZ21t/3hGI3foNk+9y7mdZ4A1jUaNJIg4TyUtn+H3DyySKfUkVGpY1P3djrqcZV23tOvOQvXeTkgrZD/afx5eATaKx+39aJf3CZLNFqO2XrCA1/KYQScxYSYs2tE3Iz95+9gfJcc/XNkxQo761YAZwJst0HD/+cV3OBDDpwpkJfMiZPSaEFrzfDHdakQevmYrWgoOQ+vFuhbg7g/qe27KU0dFp5vpNU/h3C+KNd4VwHf1fpBRDpn2Rr4KbMKyP18wZR2iuPe62moXOAz8F74itvpLNh9Bc/3usumLCjugMUoC3TB+3QF+LYSFL+ZOYEy9M4QfynEl81dow34AmwN1kmBIhh90LRTzccz4A68v5ikbhMzBjxpMefKUhzo14rx5ucVGzsHX5gNf6dDH2XO2d4638rQ7DW0r6yr84wdDfqki/dk419h/9BS80+I7LKgoA06/pn1zVQ6awKYdmYdGQE7T4AfV0VVWrfxa/ZHWbbmLAiwpUUZ5OF5B7ofMAvVYQNyT40HVDu0mzJmkyCjpoZBXyrIj1U+ioKb3iCyqcK1mRFvvAsyeGcQs3IPwBEdInkvWPw6W37WQZqZJplYDyVCdpbjDwnvJKWg+QO7BFzLy1yJQgQ3cz5ViQYzp1lBHt0mIn567xDD37W6ZCG7mHl72Yaj0sJSdXKog/WrrhKpJXVoiJzCiTuRMxNnVxKAfv31arlWHN6+8HBJJatdZDg3hbyEBIrPRleooLnLwB6PYtxD/r4J4PEql5zk3aMEvVQABv/1+EBcp906w/B9Kj1GhfD6wt06SaRRzX2b0NpjVoOO5p63bbZYc15vpK5atAWKujX+5kkOWsHmEDsE4h1xFeLi2Nf3JJgHyuXLOyJmmvvHQDewV/fAvwoZGixurMTiLtmkz95M0A2+ctYHNZBecfkoelC7zqx5K/l+kWMq1kHVNzk8m/Gco/UAnx2sZWGRrHb/vNP3gDVmrpvR/TvVee0hJGfIg4DxtgN77n7I1s6Tz3NzDo81xJlFHYR5r5q91a1wDnk4V2MKGly5mpEeHxKHn4/52eG2wTnvdf9lHVvsYT5SPMTf5WNKSxHPMlhvmTMS46xCW30F/bYHfLVKi/u06+6yR6J2Yy4QsHc3NR7/+ul3ZHPQLBOtIznhtnPMmv2/NdINkhudl5An0m7aULYmNLAXjHyW9POJO+sZNNLpCJozEdunnz3Okwdgc5RYsyxb8lOzxBMbzJMAcv4mNnPtA+NTWVj2B+jBVz3bXLHzXQ64oZo4CnJKYaupNv5yZk4YbPqj8enXoAe72hYCtC4bfcDkjrpxUPLzrPrzRQnF9o+pLxde8t4ezXyc2lWlMP3oIf7zhIfn3jFkZt4glNLt7YDkGxEKuDC6JHa6ohb5SP/rUah4sqItc/ESb0FPA39NbwXtVrVucsCwuXLWHmZXiB0ZHljjHQLgfcAkXs+FwymQC8bU9TOOQJmFM+zVtamrajlwINVZd8gxgKMzBf3BQEeCXprI3lK7tGNmBh81M1WybmVVzsQzHV+ZQ3AS+VEVXG0e/fVXejsnpiwkbuHou+rJWOW1nZ6mAH9MHyWXO/qxvta5no2PQTE014xNBXfMtCQsjyHghT1CToZ9vaCHmSFfO7ZHQGOqwNNyGKcq8l97+dvUVxj/oZL9e4C2O5BQcZA3H0zMo0CpI7S5AydIdY3AbOpZQODvrtNSd5Ad1NMHpnaJ8cJvTC2YObdOHJvCZw2gHYzvzkt/7Slwe3inmEfyR2qEiTjfRW/dIK5jFXoB2wSXbPN1O2q1h7h+1nyqnhdsgbxoZqFz1R4hT6fWtDGa6jlD6DnT4p/NOrwXSL00UYgd2dGQfMPPrJ535I65q52XmqG45A1ljAypY/wCao86njlXXEjvjZLHK9ZBHDmgSdz3hdqFa87BSpeYu6iMDJiUVnBhG/bXdyOtGO1dOR+7+ELMXZsT77hQMeSHoRwaS0XyIXOyqS0V763mE/iGhPh7VBtTu8Ud4C89vD8/5dw68PgK3+/J2YBHCIwglgV/eTunR4jNBAUP4J5dhZ5zpa+FHa+ObeGJnBRZOO5Am5j5AJ+HTVMcxXxL+usdkHHDuvOKbGJ4I4C7wdk7iHUIOW45UuDWDEPSt/MqJ9NfzPMx+r93tCnkWuKqLnOujsh9Wov5IE8T5CNvp3JVEsAYFowrDDnnuOEXM5vl2XvmeDvc49j0xDDIhaAVV8nifySB/Yp598hMPQ3emfmYFDUPeDdzFfGO6HhDkY/MXEIzzwU7JIB4ZDyXVyawOQe77R3IUTR+q8JxkznG20U/5/Zwezyl2bSkFnA0+udjVtKIpCZORSB3nBGLb+oV/G7XnPkbX2BqxXtz9gzxA58179P83Xzfrh6aQi3AH6jpR+Vd5dhOzeVGWiRKF/xR9Hxb2edZdPGrNjUyejgdzquMKw17aSxdHGcitZMufku6FeCuLEHLtBXgCuDo+RCN+5LNO6aBc0TvLhtAa5+mDbwf0988wT7G1DZ1576ZsSchil+1IuaW66bsMSwFSWvGQNOOu9LRrHDltnzexdT3Whucre+Ybe8Hjji3dZPAXjexAXsKGV6HNxj4TQ16Ge9rFK+AN0x7C3b58NfnG5ag5hQt5p01GdOcJ18vBhVU3YzEsL2o9v0iOGAQje/wXPZxU0PMEOBzMj124+pI302vE+Q2gqhW8xFxc//plhE5ZWx8nne97qQE/F58Wi+lKykWsDeAD5SAZIryK6Nowg7ilZY+Mxi5wacD5RfT0yiip7885AH0sX+sQxaBbkfNhWky1s76AW9+KayRiu5vZlDJ+vsszFk+G4djANg7jCHZbL166W6KNas6kAWB93UIFU6EdwFu4afieWe/4Q7fJQNvgU9mrG/CzJqW2mnMHCJB2/c5s9UO9PIfjwIM8kH7nJNFc+COJ2A0eU21qcT7wB2/Ut1caYvm33ugxuT6g6BKHzsykMCyE8vMIZW92ABe5XGQhZZX6eChombJhJ4T8eeL9ZOYM9dwkoWZb+pI479uegot4Bwh5JRvBVrg2POfTHd/HkIkrC3qKlwzG4SkmRugL6QHHHSN957v464huDOO6rqBKH3V3E6wF0Lp4LKyvIltYuM7uWJBdykFvkp75BL23m/OWXtH4+sTJmYOVpfYuKOGE5p5qSG502ikKhrtbNN5ahPDO/xnpQJgyvnzqQAO7P0YzwDYx6C1mlXW80fV4aIOCao0uYKOsY5d4+5AU8DeKejQDInxLorQ1vTfw9oVciGYRPpBQVthc48pZnnM/ZJZ9gW4wgsPO25qLs0MLFDRKvI7mb/bmfEpc3F47KyVzBVWtOHHLrCI43lErLdHMWHYQyV2PC4t6RcdN/X0u8x4Hdn+TxZIwTtOGDOelOzPJ5Bx/1Fk6xV300vSylNGEU3d9JY4RsuO3zxHwIv0VeSxEK1vJxRvIN6yOveJ4UOEXVfHHt+IS7YZZw9h5m1nk5nzObPB9yAvvbx0TP+WhU11Tx7ndOEJ6TXOQu8Amv4BnOMuPmCvRDgtAwJ8Htuyl58FfL6pizY1aPAcBD/WbRnqH+zE14TzGHTUUvZrwMbf/s3XGWzacb+2cEQ3ZOF2k2WsiXg2WYlWi5mDQLmWVY5PZe77v88BSVdsXfIxPYijAXNRpzQytTcMs9Xd9KkmCGO2fF3qvtnh1n+toWXuy2lvz2oDWJ2PJbbJFQ9fF8b4JVuaHzbED2bNlow4/F2+A91KyrB5MGS4hrkPq+8liJFiSE3f7apa/FPCGoihd/uQTV7Vf73uYd+qXF0LdwyPkSxr0GsF1xAfW1MHLvhAjCbueLjuidYLaUkK2s4Bptoqa+rTnM1Vzw9li3Y1fX+AtthkHfLhv5n7hp73U1p/TK87jnslPNO7fjN3IMdQpYTZ7XFT3IC3zkkbzBlSB7OO8JlJCryupBhJZ/Z4lMyg+p9+RMdAotLpbN5h08+cF67+Lij6zoD31M6fp9OP8RrjGz5XAuAkjL2qs+MkB52BRkFyteUbZPoCYB1Hv1zqC2BIbH6v4Z1Vm3hlG6e1o4ETNDZjowP74y0LAjfrjacCYL81v/j8njv4fohgfTc8y5w5JI7dcNF8Mi7p3uVb0CqXQzCvEoZwyvWSmPqzoLkKpjj8+TMH4XB0QJMlcknupk4v2xh/ZHZXmhyyaHzxwxXr+U3m+FbmiZn/tHCReEddrA5RbD3nd1lcqkUdquHslN10qWlyr8LGnOFFkvqhCsbPavPuVEO9PH2xOikp4y5owR74yKK6v9qeS4LkR3G6Aid53r8876Ckq1rQb0g5tqmXKp8aS49l0t/vu8V3YY2sdED7mk1WRWFdeHM3fW6w1w/AJ2fV6hT45SERyGIB//MjqnJzX6VIyvjzzI7k5GT6QA8huxXMtmtKSsBBU3u4JSydk/zdnOeUsoX3bHq48m7mELmkZSbfQtzGhQjQLmVTA7wkLPK/+5Sx2kiHDc0HcSzjo/k860qcq13k8eoQsOfMBTMv5Xnn2/GWGX/9PrgkeXAROpgJUA/If6syx0LayMxb/0gs0HXd2T2G04dg21fN0gn2/ly6qGOhmWnK/d/7SXvGedwnESaVM4IuUEuNpJnnBz8b3HmIrhKhEJ+mMAXeT/XZPuagabu7mVVk9ujtuPF/qP71OX6dpZDHtC03cZpFCnh6bO65W868NqHdBfinCzrpW/Qz8A4tjoPsOJJ91Y2sXpTpp7/sF+aoPqaQNxP6Me0zbm6tQJECjlDnvuwe06tPCnKu/ZYAHy43ZChpE2JmWxg0SKVjWSyk4D2W0pyXBKC9NpCfXQTsEfQ5aq51EO+SjW/eZ2N6B48I/mbQmPMyM6cJ8qjP6v41j34CLE4u0kGStOmtCtcPUyeaWsBdGCZpnzyqvl7hnBwYene4WG9Uv10OVF0TKlfC+ANkawK6qpT0GStNwshcIXRLRTzUtvRTa3z1mvEjSm2gkxtpp3fago7s1vl/flBWEuoi6SQ/0thN+n9O5aKnBw3EQrSz4ou59z+IdKW0vFbCbhNhX42/rzl3gvcAv1slMkd/fTdJsI4y1F2qHBVlu3VpDxyEeT7ubQIYGhctRDdFdmbLVgzI4szU5cbUzJ8RYnSSXodJOJ+zDQ8Axw+cYgZ5R8J3BYXhl5L/9Unp1PRGRs3l1X9CATeqATDTag7HUJ/MTCcVWjOsVSrdL3OvtKnc2D8g4qam93wj2ySbfj1ON8YfFv9kLcoS0ZRmrtX/rSPaWfDs9pfDDDda0FC48U50fA/c+8EGQhNXZpWh75wz5QQz7hAGBHLgffV74ycSxvu9zUVh3R0qcGv0DeRNIc37ZvY5+Z9/71Lx5PLUTO32BnlpLpHkZY+Bq/96pSf91NSgV6hdz3L4ctnz3Af4s6l76LGZcVfUOXoIauoyvaefdtWRFazDoRZxRAf0ukNkRns/44bLlbLQSJgXVFFwF4H3rUydf544lRWnNIBcBi8K2N1UOoFn6vSOLe8zqkCnAm4FkB5aTsy846JT1yzSb4D9B6pftd/T02+hFNdnHQNwplKF3jXZyCu2feOPYlfuuBXZFEM++wbOuoCe+0x72LNUrQhqLNBaSab/O2PoNZcDuagwtXneOcBFXILGF0Z5x3AOOVcu6M09C+xbquWt4hJlnZaMB1Y5yE+erT9qS2rK5L5Y4PeEV48hcxZrzenjn/FFiQQ/X0wdc9ohVHZcloMG7YAW0enXfSWoMWDL2me/96ypJYfkUi/6Yrw4j0iXlMaJyQE1V5+Cqzf1mHagUL55jy5cj9cyVHfK8V6BLi3Z1qsYPE+fWHUH+BB6iQjs/O+5uHpQJE+gudx6QGE5AHexfXwIII4sLUALdaBHkwpyu5n3CFz9WVf0rEN5+Q9l6x9QkGLnyisX6AFKbAKuueIMPUjnvc43tpBvYpYXM4M1JIBlBBFz12r6sT4I7C+mje//aM4YQ+kmK+DtaeKkM+SwMdmYeWfzlZjZErTwii4eTL8C6KmwDrjPN+8X0PEvX8epzpuFfqwLaXzxB3avgvGSLiqunX+eGgguI/UJuTtONfKBL4fS3OGL5AZs8V5mV/fYeboQccIsLo7U3zFnfpiJkZnW3zg0PqevWRLGf0O7xGo2O9A3TH8tFI3Ja05F1nkH0Fk3Fp4fx8BL5dN/A/0UrRIMtLuy1FyLtQXvMAIOhSpkfB/5wvvmWnBzloNH4LMvDbtLxcqD/ODzAMEakXvF4+sR8Ahy4/eBqyQLxoRYdpGE/Dvp0b1myi4oloAfJ6755zGURWYFFu88Qob3S8m0/8x/2fUG3CIHTfGqCXzIbrJUqD4EqLoUkj1umyCFTFi0ZGa8meteDcDVPmhoL4DjabapVxXwAAUYBfzapaC94Hs8EjYbh5PrgamxhP1WBXGbLhK0wl89dl8v/FN08KyOmjNh+o4mxE0tlg0czTa1VmNYd/qQ5unMTV+oBi6A8CSM/6bmCQtmK+sApzo5Q366sYDIJJhPoA/u7HG9w35+nWM7ZnaUCqZBBjqr2P0huPE65T/J43pjFuhejlDKzH3x1yoDnlHmY1KztQ0cywd+ICo3WNWuHEQ4CxKhUIm1J4ZRCnNtziSkoD8vuKe3IuiCE+6xVTq/PJaJ9Vn1Tct0k2aD5NRaF2XIM2zdIaeAroH9K3lDaIveVDA7B+r/8HDeP/vmqf5JumamKF7tLDNbqHnVzv2UDqd1uM7KSEc1bOpyQB3PSQF6dmFd56TObPqFbjJEZp7oBw7wXOfGG0KtVKf2pu8b9msL2H5mi7k71jTtrkvCJhfy80C0etV+X4CznoCjl1w/eWpPNg0gFUqKHLRfj2jCm129oC5j6JMgvMAaQnz6lBsfRxeeO1uHErgaZnibaHmvhQe6vvAO2b+5sIhP+vS1hlMp9IEFk5cwDyVdOpcb9V0izsr+Fzd4H+cktLt6MD6KbOauHxJLlxB7LrWuc828WYXjAXN+S50mq0PyY3zY4b0EJKxXLPjr13vbW7Yj0NmGXMFq4MuCzSYvvxUDGY4MYsONgwyNtFyw8YkuDkH9qEIbQHVt+OrNDBBQ4bqpBc+IrU7A6b+PuXLIQt5Iy3/qwH7llE0xMFfRmJqabPLkB6CHuc7gvXjSkiN2x4+D6VvumhAkH4f9K6j7tah+1nXUOMDQIR+vP3ZuYXymDyQfI0El6B52gfyRYLR9nbO5iZi2jMfmGXw8vJvegC4d8IfQzQNb8TVDMlEb3VdDc0vCrQOYDwg2Rns3cQ9C8cLRLQ+kJ9s4LGz+zSwJ/BSbeVEtt8zMw6//64+NCtC6rCsurAcdDpygYHLOgi+LR7FjZjDWps6VxqA9kJvakDccXNaWd6G5f4b4bJJQXjBgEnCvx95uGpUHTr2R5xo0YIb46325AEuP53y1HF2NByHwVeOf9ziEXzMNbFz3k6mR3RIae8dc3rKFGO+wnOd4PLKzhYXep93Eabt91KIJjQec7OfguCGYMGI8Cl/vC/Qb31ZuY+7DY4jrB1tq+HfbqoWNsOM9az1An4BWjAfa2budmUqf+xl8fpoFc0gRgphDG+BSYwbctcxhnzorC7j9jxDr8f98FoZcR0iHRB3aj2zBwKslaEHF9s8+xKe/nlNS2DehbrL+31I48QH44Yxb7tQLJnWECtC0I3amNrPmj2c/0n99csrhC8TqCzeAl/Dv1NVbYMT7RJBT0hEbW+s3lpMxGUxv6+hTy/RYN2+mrq7s5tufduhilAVbB/T2A+eJqTkfit6zzXxMybWZ7y0gj714r3sMSHrYoFEhg9Nqv3e2j0NOPgpD/s3M4w3WwCdXwD4fdQ8Y3CFTi7oFjCQl8MkUcnHK5IrZTWc8tzjjpO4aq7YJLvqVxyIevO7ok4VbsG9akZ8d6qK5XHxYRa88Ut5INtqg4x0m0KCYd8m0OoOefBDN9xnkGNBonzRHs8hjc1Czf2p3Z3Izt54zV2rAoF4i/vJ2tmCPHHirn/13O1cntPf6xMzmW2QgQK8UXXFTvFvwgK+kM+e73lS7zfUYyU8cjOVhE+eyb/wyaraSKV4x3MkeAh0UBwvta9HVr72cVYEUTx8NIT+orSO5SFgf5B5Bm0MOfd4JJ62fgB7ZMlpAHsaWENjDrZl7iYNjZLwB04dq/UvysRbAISwezH1hdFMnS9i/r3PRtNzwHvJPK2Btjn3zkzEbcN77NjUNtcX9LAJ9M8TwnQLgy/W93DSf/81AMBrhQoP1G82N1wnH6WliB+C/R+TnBR/HZJESeKXzx0W7KT/mupBhfJagVY1WSyBHQXyY/nxTY7tI9797IK6HzB7v1IL1fqxHZmbgBXOXUL8srNmFWCkImxnV75djmKzw5gu0jnp5wrugAq+w57bV6ersFwV4GjhH2C8Ho58s09P9NZe5bGCfAvexL6C5zJswfbx74OtnczeU2n7IncBozH3qyuf7NPOnaqq3dee97uhvRY95yhRgw3pOHHiuHGu2SWxqPiZK3N3SMFg79xg1J+B7RWKNSOSwz5gNnPrpySVN3XmlcZb1yMKUo9TRWyLuC3msBeyH1wy1RmaTMHen3DG9GTyHDJPTjdF4DSU92h9R7JVuE5p7vyxgjyP7uleW56gwWcoNYFWvo19dAryRAQNzrosEDC812pIlPhP0wo3rDLnEnG+8YUFAB2/vz/4TE8eBdssAd1UvC4PNEKcYs5gl7fuDDqZzZb4D37WMhyRzm4z0I5bh+FOa+j33fTnQwFNsRqBZT6+zlDrHeQ28Kuuna2ruWvS7nQVTwanBLl4eERFGOxzZ9cJhj5paeuDJtwM3dc6T6ds+JB//zLn5J13kA2+2lgjH5PAB70egO+TU/7y4r4A7W69oJfAN1JLAzECsHdIqt7IbwFZ9ooOkKuwe0kWfaiObI+I+cGWcCUJ4Z2q1ySNtZc/ZtOLG4zXkjenLBz5emprBo9DX170eQ4VTd/xGh9HOIn8+ZtMpMXf7HN9UHl9hTSD/rj08xHYJWrgMEFa8MfeGgrigFHs7r3NtfEgexOQJB2cpGz+q3suAG3lHMb30MmD3fEi1/pAdKIdIfWfWaBViBu0veWITwL73FR84Lrr5nAhTi/TkI6Zbxi4ZN3cCb5j73xjwW7BgRd1xB1raEwj+e99ZxCav+69LZuv70483b3JzRgmf7RdaRdSanl6YdX+1lBN7e1d6uI+dKlSLYiRXloxN/WXae3fQumYWDsP0/YLd3x5l4Ag227x7mU5fWi84Dg3wLexWeWwRVze0k1HpapK1uhVh44uQr7IBtLFoEtx/AccFcc0mKxEKF9m6AS0NGgj4VQscAmIFtIbNXP2phE2B7/cCvb/Oe+eDmJcK1lWgxFJu8zw/TII1/C5UqrzwcG5mWEFcgMgGXuBKc3fUpbeUAT9sfdA88ac5w8lgD8CzbGuazDVqFgWcz9zDMzS+7rIJCSXdWTNgqr5mTA7GUzVh3UzCOK8ispIW6OV+RIUY87KPQ0VRCPy9gc8f8cea71xs5g+vij4mwFdaAc8GOgw962Ct8c7bv/mVftrhKBNYCqoQfEfgXYRRs9Z8zCoNGKRJfuyaT2yRIR0gypC+P/0DgNsQq3YKo9GeNWmJmTH5mVFSlpq/+oD7io0v7TBxtv4kPeTRfjKzgCFq7c+UYZc7oMUtBPmrvkjn6wZ77hOHEkEMns19PwNppCJ1quCv1Xacps6/hVjzNkEaMYE/jgbvaLNV2v+7G60dPFab+k4dwNXB9PZNmLWqLwY/T0QsQP+IrFemR0MfN3FAuHqremANFpqPYSz2S/2gkZ458t1DYL6b8VqsL5UbT7XD02oY49ddgOyvdjXw7rh51mucK9s/JxTdCJdhLcYrHbYrJlSZ9sp4TO0B97f1897PxnvH8zNkvAz4HVgLkbrpGVeh6Z8onLsD/HnAC3/1jR6Sfi5hX5XG98XMjsLdv0f19MOWebb4orSTC3BDiBkJ79Kck9l71nufOwd9VoEC3sE/eRcAT5YrgozGlR4L4HsH6BPyAKdCvc43LuauHPLylFA1cvtsH/vZSoZmRzp+gn25EsF43btjwCioKTaNSeT3kEsH4KMtzUdJ7OCR6Wf99a2kOKM2ulfB6lZ9TJ9iIKCZmtdnHWqI66cHo83NOacPfHLhC2pBKxwgdz7vYiC32lVk4u9Zyy9kEG+OOegU1twPbH02fYmVmFbZRm2Z6FYHQWa6+BL+vAHu9DoXRcYbiYfk8+nNbOtdZu58+bNfsUg6M8sFRCAtbrAmHkF+i/PmrWDXBdYjOVLcYZtvZX+/VBSd6hZiJGg0xNIHo4FrZtuaGqHX/hIsBpxXl4I134Y3Az8siQP77bc/5U0EgWX8kc2UQNmnXrIkq4x5I6dkMDM+qP1uc6uxE6aMlz9gqgfrgHAqTH+6v2D955kWmXnvBKD7qXv6Zz3EipvZjmK9Z2K9qQN9EZz4Qqgg6+MIs63DISNkHTE68yJFYuK4Z916t1/4XLfJndJ44ta/BVNyIh154YZd2caZM7UAPU+g5+fSWZfm7GtnWTYD7ZA5samF7ctujbONcfFOL3UAMcHUnEQYqLWystN6I/PGA50TUVsRtRhvIlOXxDWB+Pjvsz6KXEbVoiGzxqC35Hdp6+/EJU5iNwtm60uJVG58RgQ1889nm8N+B23qZrkf7WyMqKUf1LJW8PsPlR4/UhY/vaAhrkYS6SKJuhcXnWo9hkbDFrn/XfYe7A27LUPQcZ13l5QAJspv4DJRSrkrPyYpNoEFOveHInIv82YPOf9NgqbnLUlKsU4Uld9VMMYp6ISSo09Yn9dd9mzmAj39kjekP7bNlp7+LZDjU+DPNxY2LWmRt7NIgc1wKluv8NIAn5y/sam3dwgFjtLTDflIWCwhHhDka0eYowvD8UIuSqRfd4iP2sZ58ZhmPPgWi97v9PFvOSDiAQ+xcKuLksH3tMZWCHsuRNOwIR5B+53qUEWQBxADXSlzbe6HzplNOHCfB+yp+Hlf3StzD07/l1PijeywqLqGJ1w+PfoNx06tCRdtcqMU74BVd4DfxkNqTtqtC7G+fc4gMvN3uibl0bMv8XnOU3RNTNHZki1Jzbwh0ZK/u2xOmQ1cwS91fQH+aGUMz885m1Q7RRuDZkN74DU/JDPey4RjkFbF8HUB7pMA1/k56vhgat4L6ufAfzlw9o8ssG7wvKN08KoOx5dejio0lsA1v6te+/B97DKYi3oT/8jIf9TA26t+zVLufxzEygV8+0zNrAQRyyOvb5BbKPD5U9k1thSpS1y+N/zxGCDryM+3I6ufvkwvLmq8L3mAJeQfyBFnu4aoKQMepvnzrMwFpeXKhfjKGYOinzOjz5TVDLtFQdpsfFMze0SmRiZwCKgG2Y03GtxvB/SsXzyoznrxDcY7W/Bggndo3v0X6F2byKCZ4XfkpN9euPEYtdAp6/WKDdg65DJMXR1zhxdq8Ilq392aK4ThudPeeIAZLwLySYJgYaDXCv3qdzBeoOdVqlVXDMB1zQyVAQE3m91j6NmgBZLK5N3T9YE7dEsHeSMLOrHA8kDjgwaME7rEOXeRNN7q7NmLq++mlo0itCKWigV69XJOsG9IX4Z2cdyQqbbw2zEA3ub8zgEsxewRrR9lTq6Fo+4U+Hr6WF9p8Cx920tNfG6BhuBxAPkUOIuNlIViwDQzw+LpPVE542vW89Mn/yjiPeUNPBd545qfRTh1GHJ62pIt8NI7HpoH7AlEOHz/BV1pF9/L0OuAe14A436OrT6BDgcdiljhkhVoAZLSxk/42Bz76//6pGzTw6vgszSDp+El6mzg3Fvlks7Mi864D9zTno883ldtYJF+OlWnCTStNPOHgp2ti709SgyoDjlkt7eLWURn67nfULNPxfXV7/DI2Gx8Tk88itPaPVs150j1Uy/tpk8W3OKhW3A4Wjt3BL2KSAX6XbWgWfvxI3ODi+p0kADngJx9VYENHAXlO+vuGF896ep877zmmk3ntCM9dYA/Rwj+F9s1VSvTE8mj5qPU7xZp4yXboIKepm/WjZL28ffe1R9CrJYyjK9CjxNzu5n/3uOa8xDNu8lJHWXBe21Z/oeH++K07kTA3wAHDqnlhVmOJyEsT3XpCjjN83vC/itL0G5JOJ0Bjyng3JZY3SWh29/52b9ecBmn725hFzfAnB1jvJcOu+zd4vVZzxnvxzxOykV21PEC0ha3zJox48AC2do3PlnSzB7YvDvFMz8Zz6EGYq+71XlTsoEkkGlntQng9+m3AzXzOiYCz7UFXelLeMOvO3o6sAd8b+Al75boA1hnuassOy+M73po5jU0uTljIN3Uw9pslIU5a5MF9CvojjEH3gYaYb6ZajjpGj8wc3Gx3pl5wAniP7BfXvdESao7C1P/m4czrhnsGD5aNeK5uT9PqZ/AHteUbx2QjCuy8KffTtIGtuIoqhyyZSHudnazN3eOxPjhLHIsHUkTM0fQjS1OUfDaX9J4RocxphbamprAqv+yjE4oXeDYLf5J89orLMtifTOSvokIhEFh2T+Ajav/YgGpDXCpgcDevzsiDFzAC5wMPvCCbgW873VG9Al4Bwpba9CIEOOaMRYPLDA9qx45Cm7OYPt6gH3m+gcqmg3k5Onwsb5i4Ets0TN9rCUJUVibGjrtfyvx9VCUGz+9U0Jrb+eoV430ojbNue7/eaqNQZsiyIP4Umhp1zlaKPAmoWN67FQLMf1DFnVlDPup8arQckhNzUeuTA1GnNIEGBm6Ki7NHICJP6YE6/e5jv7qlmW1MOeomzt34k7lGNYZuAf1byb+KiGXui0csXl3WTDFoIne0sU822pWsF5Hzn3IjYTlsQffPqytxocY3PMQ/xyM15WZSzUEzh9n69Yh8LTwqPmBM2/eO1P57Bfq+QG3siADd4CtdqBbljRHzc7RYQW8sLafXHSVBRInwO3kwntz35U9pu+CqwdgbMod7VcWesX8DXhfmXZoky3xnISrVeL882T/zymFmT9hz2xA29/aBDSYM/QM8gy31kvSKw1s87sSdlNGcQwcqc1443N3fOBg3TGknj4CqvvrUf0xtdTE7jziolDQrQO6gYhNYZFubQHOSdYrr6Jfd+MLT5E/Exp3xfIF2IAzIvD2QPVIWTwyyt+qDWgXKs1csyKDXCujphCdfuXKvAJdTgJUEhAs8DEHYselCtUlzcc98HgO2uPMFwzvRn1Xm+btgPy3JCeCQR4uLNh7G+Vk1sqGRDmQDTmbey3QbiIFviUY8KAu+KtzEKf1j/E+xQOZuYspxN9sek6NR6tigenXznmrIPYbtwCMPkY6OSLjqTuuQHdealvun3dYqDbn+Wf47E3hjlPdIog78l063quv7ZqF3jmzpoeKxp0QmFPdzcnHGv16bHk6a9UWhxyVwT/A//gOudCvwnoWFGKSj9+J1XwmIb8mEYoTS3mmzg0wag95NCoFOgO/ecWGUBZxpd4av6OsjAhOeym4uddE40r16C4tPTAbsBl+vgC8KXO+k0L/+vQsTSnyZiLZdKbLr2cJ8IkDG0BXs2I2/eE0WP3N1sGndZFR0LWwdsAZcLnhQabjhWl0k8BzzdkLpppDHH5CPhUHgT7lIBtYn77URrOiIOVcsLYB7hT7CQNOxuVbGa555TQO/L3X++Kp24CuD0CjaldayaPu487sAWrqRoXNj4Nuaq0FFyPs28LDGoXS9gfe/RcLUfOWsCaHr3OrnImClm4gt1DVr0y/+cNMcnnVpuIBzRyWOgNczAbUHELg1hbCFcMksdYOF2e36q4rKhAtqYp/vbbjBjjhYvyQQQcBt8GfzBo3pBuR6mbT13MhvX0FTdUV4n/zHUQ4YtFBvmu7JenW39Vi6vUI7EN9AA5zrxGhtLOAH86mqO1xEPybCdBtwWTmjTZJP5uZZogL262s4CFdQrhjrWqGjM8KT8Rf3bKZZWkBlzzBvoT12s6QRfeHXL3qwBwqbAq5MKoZ6RVrsr2dQv4c+8zZejKXfdaiPAnWAd+oAnR+lFEdqQBUNOz1g5CmBvcP55ONyowvcdavb2UnZWkB9lCIo6h5GGxl4TiqYL3FG9BVFuTD3s5Z8OUeAnXYucQz9aSVpX/gnTLmYNh78l5vzLzpqwv8wEuG4FXnEEtHgf5aeZX27wfIPTj3LcDuS9GR0syjIE7gHZk0/sN54sSF6skV0GT1rBlsG/+wKey927xVtv99iMxM1GKGuDopx7bEx/oHdOir55FJ2KNcqG0quE9yiCsReEqsQe+buv1krsJ1C+ho7j8gNp/+kOdj4AEurU+gXy/c5o/a0W+FmR3nrKNawHtnXlCAMOX9OBULet1JPWfXgxa4lMb3G5EsFfZZbtRPYpGfI/Pgvf/2IcK7cFOBEhURCTn1+xiRqezjc8307ckROuPJu9Y81D+01x2l5JrqGDSq/apbXjE2PihSUyGmEf49KOn7Qpw/XOg4G/sDUiPgRqCWr6WOTP8834PGupeBt/DQK+HzPkC/R4U1Z/ix7tmgf0jPA9ifgLHyr6c4dRCCHBdz4we7FE5im9oge495c8jY2U1hh2cudkCjwjt/v+MwvvxXU7HUuZ9jx/sws/yOnf2gsJe5WBPg0qYPbskWtgDevHJKWLk4NHPK2RLbydJEkJ8biFOcwH5KHVPzRIr/+MSdQM5hH9NgZlvCZwol9J5Y5wXyVG+84VLa3TDoAOWO1wy4Kw6In/1Pf8F/k1HmsFvmxC7kQh+w+JPaja9s9V2AxmDws8A7f2cp8nqWLrpmwWQ8+t30v/sUwH7QH2tQGjIAnLs/59+YemBdmJnor1kSfpWjR8l1Cp/TF4tcGGtOlBkvTs7rnDAs1I04qQXiTuCODDVw1czBC3Pj3qy7gLyQsOtSdPEW9vpcWGwmTpyKp59kskjKXtwGF67fqnB1ybr/PPhhJUvQhjv73eUiWep+DJ/eOPYoqqi77RfmZXnMS1EseJGihEgFXPaKQRJpoW/C9beZg0EcuUtswv/PHHALbwqvYP8WQVVR5F9zCbz92PoT4ILDdXKp+zXLTP3/M8bPFs6bbxZsbZCYI9dKA85AXsPAW7f3yvjwn/4tBR9nAvqjtrSL2d9Z5QZQzq4Ap1TEXE7jobQ7G7vvKzPPuQr1IvsGZTZ/+iVlz3pTRFPun4n9nA18OzAVG09x4+9lOHQCvD8BHk0XMgOeJNKs9n94KFksk3zMd0t9gXekgU+uIMbzEsVDFgFnsAKPuzHDyMyBNb4wkK8jGR9E0xEblTK0HOMhTcysgdbUgBr/8PgzGWJq5kRVLnqdLedZLwN4Z/cKKNHeAS4B3x1yvLlr9snv/Lyb8TSp+wZyhGdmiRF43hze+QNi4oIXUw92vlWW+j6G8UIGZT/PADmZJSNlotHr/mv3X53XmCzvgMkj5APLE/0YmLlmOI+3ZRs4wGsuwDFj1aKI5GgFn8uUE0eCj5D/x1utE5OvAtavN5Cv95nYQi6qXfjVNxnKxx/v1fFIB38Bfns/5qgVA86LTh+ImTWsuTwOKn3e35hZcMBJSjNfMYccRf0THd4vxxxbwI9j4CX+MSBLmevvQsdO4cyXLEe0tv76HSAGpm7vbm9H7geHQJr6nYH2Nqs28qyQNlpwBVzGE6a+ZvCN5m2z6MsDbUg4NfWsHLTo1ngT58conosc7Y3vLfDeIXXmB3a2f7PGkoBcimyaQdv0lDbfBLRAFf6bISZ/Z2eGROIATwlgEuhRUYXN4+lP1MUhsa4u7j0rBa1SWB7sX7kpxNolZr6frSEXomS/IPw631AU3Z5zxVhyk7RJRDZR0NUfqaMPUqiruSsFfJjrbHpwBnnDlUVJfcBifjf1vPRjDTzAv+DHdAAsbPZmxsXrfqxPLe78+QMMSW/H2Ua5lVtckhbtIZbCI43tQgAWmX6nHnA45zbrJ7cKVvckVCLT2Nz3u+bupBR2V/SNNueuxisCeAKugUv9ei16gkT6hb0HFpqeKPi+eRyaWhbACYMZRCEcHkWxKrqxrAHFzB4w/d5pj5DgfChc+LmWM4V84I+Sm1mP0rKcvXW/MUdPRe4DW0U0Ea9aYlNvg0qIn5xHxvMZ42yQB8n9NxzYnOvtc1bfs17DHr9xH6PabnbAkW7A22cceKYnDB91nAv0dSuYdzuKxjPnmoQB3+ztSer0xXufc9jVBv0A3p6EUKZ2xEzoAm7lnzJh38lCRNJyt9bqBDuGcFftiauk6RUxeMV5/AE5J4ec7pe2Mvc6FvCHzzpEWdJqj3TTq255jyM0Ar7fymy6gWbLQCv4Zo6SCNdRqiFGXSxZbnqf1h88Ihlo8wHyx4p1aI8tLwc9kQM+Gq9a4E5qJfvkbuq+1C+/hDiWrx6EvgrJijpeWy3Ava3pdBBGx0nBHv8eieNJ4IPLEXLsblFv1JFvEON7JhoQKE0GmmbPc0WT8OpkC7rXwC+l1RzKPF7VlmdqON8OAXmdb1j/H1PX2tyormz/kgCTij8OBoGxkYPQA/QNkGuIEZg4jo359bfl2c65tevUqZlJbJC6e60l9YMN89KOkcOjd89Of+OOykQEMSQiQvbbWTnkE7DAzqSpRDJ9Ege0s4d9sM0wi59nm3vGdchsD0IEazSonebrpTL2Pk3nRZi9sLKnvbMBLf3JBrTSrn/JwrSGGDzUsT5UTNm6geDAsodg8NxIrUB/Tk1EZDWmVbt056wHXjRcrXYPbB9+2wOJLGajMb3LYU6oE7zuiSCOixMpz57tu0A8dSg8yiiy+Vu4Az+/g03fLUdp0bwC+wFOrTwZiXLnaOB/Krb9RgGzbFwttTj7dsYh7DXJgS9r3JUKpa96h/txwJsMzTs5dIC++FSHaZfLbgQ7OefudcNCkRxZsCr+3WfZ+iP7Ln3tKNV6wBfFhFUILgceV5TiCp4IWKY3vAd2JsTm/9VkhRoDDhXvyxE0bD6qj7x38DESV8vtao+ADhYQA4SU/ftMNtechrhjvT3HpnvwnYcc/z6A6+5kT1YMdzu9kHPVX3+0E6Q71+lU/NujdX+IQO724tJ4ZsXi1FWuWUnwbWBMLuvTPcSIlRwVIciA7ZMyW4JIOFN9jEGj9Rq4wd+7kucZrNEDHzjV/d8bWNiltnnaEEPBll5cVACuPeqSr3LPzLCWuZ21LaK0oO68s/eoxbP2D81N1CkR6ZtOMHn2RukdJZ8z5PmK9c7b8QRxDaH5GKH7MY5mFYPnO8Bh5fTCL18meORYdfAulGLx1Y6prU30m97HGafXVuKL9s5O4YofxudUnHR0SLStZ5ESYul+UddcrkPLcXYLiduy+xQnk4MWWB0Hfwva87+ZC9934uoAMHeqva6zdxT/auiudeFg+KyUK8Anq2PauHKbU4dAp1HQfq52pl0rQSyAxJZy6ppRdApddwRjanP2gPsmtLf9d9PL/3IP1kHNyIce/Dtocb/F5iJim9N+9Wh8NYJ3l6Mw9rMi4IY3GgNfj9Lp2NO56J17xt/v4NdLNmKcgbeKRdi82lDG6q1hf+bW/NrGdCgp06XeHkPNinLrsM91UHnpT21nKz7rEHXVJu0MvgcvoD6bWG80Vyca4UNrcFXY+yu+FpVQqF6UvSdMCJ7KvafsGe0EPpL/3i8bcctYsIfP2QvgawytVv/ma3BXYg32rCj8Xk2AO/zrx7xWBHdhwf0zYQJw0neFmw6tIT1hXa7Dv6t6oR9Z+NcTZbSye/LfGi5NKLrChfgbzZRGhACvE8UYbNq+k8Ap96ykPi119PQXiPntKQiKIT1V/7uD+oa4pYBKOXbeju1PCdxE6djv67B1hCdeuVgjrIenwd6AAzo68mdl/qy0PF+I7XfFV/NxmDyWtKBbVCwjZTG4E3YGmYsHItTBzmxtww5ptM6Ocl3QaI5F2QGHE6hy/ajG5HUnVchS/bTmfKFjfxGC2D49SdtHPuVrqobto4VYp4fWsznrROKODNeg4FRBbMxzDtzamAdwS+AlgKnu+XI8qWc/+6MUwGMDpMJXzi1w0Yh8HA2J5Km/ZQlgFyc3GaaX/BRgWJ9CP31gvrM+u1uNA/E2O8QT8OronmFxJ73tKzMJLVTSxrSvEL0WjM416Cs7R7BFzisH5kdLxXU0DcQLkCyDZ/40/N4b9+iUCcsB/67g+a+i53fwz0gtwFUxaK6QbptBfChExowbVIyCsqiDP6e0SURFPt9nW28v0O8MUJlb1s3/5Qa3Q1raM4Ri+J6fM+J7VUKkQTKuLmJM32jf3hXEaXaKICagVRbbnrrVrE6Egsbd6BKeiOW3HK3PWbS+82EGjfO/cxttsNh5uMx457Qe+QFf/FED2VAZrYAjYuBeRiagvaLqcUg6wPT0pkXlVCDTqtLmi+JbI+ehOpErcGyWMb2ScjXn6DrmyHxn8fXVdw7lo7iRk3gQqTLCzyua/F0pfr49ezaMlQ8ccF84QH+87cw58FyPPGQYrDJMT6LE5TFScYa7Oz/9uTf/299Pga6mlU5ajb/z9c5MTBDX9feBz0GbKEZOhNW92teuWnQ51YfNOm3dtfevf3K1gH3ZfBUffi5iJtgLoYpnzkt5tnWMH0e5urGQFgRT2fIUPoO86tqCZ68BsBd4Z/i87pIN4sDl/U4lnTWfT+BP9r1qIoifRWnwrx+b2MN61keGewZ80uYF5cAXGo/4e9dENAQiy7Gd03ep0a9/jUREd4G7LUNOvUe+D7z4IU5/vKOt3YpElo3CzlhgPEltzXcGcSTldm74Inri/n3mgBL0vuj4Oa8yz0+gL0v6nclqEUkXNzh4YSVpQUs0w7oHDv51NEEHGnWo5GppS+oybmsq7dwxnXMB6yzEtuhtz0+D80Ene/dq5zySTK6BvxvgINOPZv2tHVQPPz8XYTBrpF/fZf8uaIu1UznkRiH+ETTLWpqi6OezZPhh+yLlDgHtKjApaXcc6HfLp7R218CREALRtSIOKCUnCBhrVyIGjEJr2HVSgk4bgfO/4sZY9/iyc/2ZJ9P33u0MKSO38MB+Je0gfn8UTKyIJ6rKw4AR2Y06pqvjNNNyprntCcq6Oedk0hjvgce7WUh4g6ai4vcld7pv0Pyvc+z/1dnExm+G+dBK6jZY7RifzqBLbQy5SqwIaKEONJHUp8pOhl2A58QKbIHhYPlfrPZreJ/oUOoPa8/E5h2d9CsvJeEOgHhoMgqYAHoQHQd1OeBgoz3FD8kEsSn9sXwo621/KDPRkszwOTXwcOCR66kJu2e9wzHszAF3MUNkZdfDagwamw8uX758HfJ/Pawx6FPZJinoZbD7RW327iwLfn0og6+AuxFxAtQ4PXAusWgnXZHYsdhZ5ouqjlGXMP4X8SH92CFxf/ZyKadSscDT8f+0nvBwXC05Al9ltYu/KgPx9BS4PNravh1DK9WV8DWj8A71YM9W8ruK321NkcciWCdsPrRHNlx0FOLKpRZpnY+gGxj9bP7Vdb80LKI9aDPboyI0neRqpGaCvw8qylQuygDshmxy/r0Af3GLvl9UNKVCZPff83sB8di9u3r8ewN9noP+V8fR9rzWux1oMhqnr3ui74L3COz10ODMzoN93tnTYb1Qo+tKdjUF7pg7AW5iP2VSR8xdzaoMHBo7kZa5X/FZwr6Wqp+CvFhvm357V5HhzzkMYUCBM/zmSGdS+IVrmBa5DwolZ8UauOb0Bnb/o93Z9qoaK5Y6wiEQb1RgZ9IexRS1fevlonMFv0aF7XXOMdJL9mCYVrAvH2ywZ0zbx//6A3z7oM3pzr3eIH6m/HG9t2Va2pmcxM6rGbtJJvqeC9Aoz16X6dtRasFi4gIeTgeJ7wfunKtRrxo8fSpM0srp3QKlbhE5+wb0/AHUygsrhdBuVpq85Z2bo/muFz4fJb/JwXjZKd0DP3lr7Ln0YAzEaXt2b2qubs/ep0MXMFd4CvePjCu0X0hYIYceP69fbFSnGv7c8vXrrNLmp3U6yWdWQuwK1cC9IP6tvR1pXZn0C9bxrF3gKtwQKVOICQ5vQ8WaMLocOPDksNuClgkFWqvMi/wi9q8K9A1n3G373/nmlD97LYr7sRc58MFYIRwA9Yv1YvtPVI6M+wvF0wfl2lGhnZOiPjlLXTaojLq6KhhWTTzteMR9JW1Noj13mzm87Qr2MGDDVP7GeTRnDdNv1HVwFtncb3NrR+XYHpat6zzzSbXlRgmtbe0Y6LPQ5iUf2R83X4IC7EzkHE+2Xh20rK+89KGQYTsvAF6OuY0f/33Xqeb2job8Lwc9Tn2O+1m4MxIjPoOeL1nPHy3W1mY/lSS3FrQG56oG+8xAs35n/Xqu+DVtRz22mL5x0320Ye/JZz7uK9fx+tkYzaXJVrTHCS87xuW0Us/aiDU72n7z0RrEUTrtnGDVcCVUqVaav9v8u9j2XpT8HXTd3wW4XN0yNVR95xX9M7f4v3y2fn7ZPE9oVA/vFx7anvx/VvZOEfz9h3CIXw55FED3dW9zTs3bcwYUxLfaSW3OaVg5ijajvpPSBIVU22dNj40bNn/HmeaD7GQ1Bq+cwFAZfgeN9iacFPAX2XwLWbnXa2a6OO+NnWmxqoEX0AVi4+PqagYxwaQV6NM7mCVwEXVrmKh1NPuMdY9MTk7TT6QAGwO9GAC2v/JFV3o0VXEKrtyl3d7BD2L1T5R6BXJi4FWfdoYG5dcwCymDGDAJGYHG9O3MO7DP1LQO2dT9vKf900diNTgdt73yAFuB33Ry/O0V/EFFIKteA19VKY3x3tZhyuHsgm642d7isO/AwfBlj97dA8QLUDiRWNpHg/Aud68YfMTmigDapfaOEfg+jkHbXIGHEhoSShLzurs5HFn6pnqAqMG5ZKxa9JDbOV7bdiA/LSZd7eD02cdbbr0iwmNWXE/F5/VNR38fFDnK9g1n0vbUIAx42IqMJqokxAeODxQUs+2V+d93fbHI3DKbj/uv/1qipPL2dn6q9wfpsboQkX5zp7pr0XlN3O1Ir6ZmTGWzmK7oq5W9Z21c59Fs1lPhCZ6xrSdiWmnP3vnbs7r0hV+hhvhahGajoyuFOHAo4sns3JWvT3jS7hW457NnRwScA6kTrjI8FSpStrfYpxpsv8kr0zj4JsMdcEIVB/7+YMj/yiLhAdfBhfN3/sVlY+DzILYCPeKx/wEaRtn+lhThMX/2gxK2L/GBnYCJjyZnMnOA46fAyxIxrB+6pzVgUEpPCnQItXX9JWjzFey9YieMiwS/zkXN0XaOXILTHjkltX21OGGFndkU0+vLt4ULpsX9JRucne0EDvFyVNjss9gQ5lVezX2Io3Z+0HlF7OyEwc+5iy/8v76Dr7hBFjzwqH2A3fsE6YS56RtzaQ4aMcui+VQh0KOhurd2ztKwtjmatq5gpYwe8+d8bBXC99dZzP0M+YUuA19LTNUIujOy8zm613txFjklxDCZ9yLOndbdu5jaPtv6RM+tqTxlgig3uZ198qmj9CGwvcMXWIJ2EIBzDfC3Q2KMPvGlwSQA61g971LFX8QWey8ufu+XFTc2tkjQm52wdcxuftcsmg9he9GmmqsB4m4cOe3gb8Uz/jmrOp6ATwenVk5u5dq8P9gL4JLk87o68vOiRJBmaL6BaX+SU/CbK9LamhBMxucMGAnYWQb7LNy6bTw/hCGYx3ZODLpnLnpotPZIf4XYChwmJF+tl6pqEA9Y66728NSCf4KSPtvcA74A9xbUnn+8any+NQKMEukXR2KXM+Dlkj74uHV4rwnYwmfxuXZ3Szrp6L4iJ+xD3Oz+w+1kt2SrqoQYhqIbt+c1pfmyfaOVY/uFpPBO3BfuK1fk2zmyIKhLbOcpXxpESsloyaXv0ZOmKgwM2M6hsD3tbR2ik1LwnT5D+kNIbetIhmp4d2kkPkBXz9Qj+xZ2c7dQh+DA9ly7sFC8zqNw/tR65nAc0jPjeM9KwjSsRSaqS+6C7/G0Aw1+yaUJMvCrbKHwsxPgpiOOws7VmkBv0R8Vkn/zsaPZI5/fcy207Yf7zWLxwspAIwJPUt1b2zs9me4QG3BuayMNAZ2Q3uUArM/O2HW7f/fPTOwq1sUinr6Bp0rgrDF5rIHDXL+qAX8WS4dB56S1p0EbYVGYVx3i1dYHnQ5JcAY9tNSsXYqEfDYL2TBDZRFfS3vflQsD+i2l/2q0FCgikoFvf4lhLhWHWFzavjoa7KtftY4Aza1OouzmOvIhJr3u2kCPO3qy5+kVmjf0t165cnSslRa4poPjiEVEZOyuwPucrPf73NCSOaBVT/2tGQPT8HXVeAFgn/g6MoUVd0ibnJ38lH4ABr56cN1kqUCzbR9sEbYf3pvNQVWDGI/Ae+0s+oPYzvXALxXgGeH+uRrMhZQ4zT2dMwN2bkR5/FyTbDyvmjJ98LD1me1FFVe3DBSQOunXHUekly7fL3+95xwE+z+BAz10ddvPz/6uTNoe/spielLE+kKGtG8/12LnpqW2c5vlmue9fwYMPuSDU4n+fq+lZntHAaKJ73pQrxg1cOn8Vxv27bVx7hOPlna2qw6jh4BfPBoaHxL9ZnMmmhLHymYZxfzS2r6pXpfnxff9OE6rDKU74NcBx8ATsMqbUIBmeQfd3r/uYasak0n2qmfPu0xbB4xBE8Majfqj4RFqxV/gfmjVuFNcjVu/FmpPIXbnJu04bm+2f2TF6IujfbcmKIGzeo2crra+4hjj3/mVohTfgEdl7uD9QaaZMn89wEAO9rBtIo3AXwMagT1yEe9R5vKB2B7lJx3hvGKt12JxOZTpXgNGZE478yXdtAn+Lmx+CcJ2Psvr3ObB0XpfwF437voKeM25EEEGz9omBnTkt79fhGnjrqwGSnVs51zSAPiinaW536P0o3LphUkHP+czAx9tmHHtnAjGfW/nnGfw/Zeu7MjgP3KPIuDLDznQO4ms1rqW+mTulXe+FE7l7heFKntG98wloZ/Am5HCE2h6+n2Mn7MxAXGN7XeOeKJMJr/do8Rz5q7vx1C/tENp8zvJSYdVr95YtPIKhy9keF9R1D2Asxei12MTXTMRqo6GhhaAhblnYiV7+NnWafmUF/1zFt9OhrgEfnfKJQlgf7fAmadD+Zt74NFFlDYfq5ZzzaT/byZGlG6AhyPVUxD370sGWsTO6hNG7QrUbcEuP+zMDCHBV0vylQ9rkht91aXJKHp3ZNSiVs5jY3u+Lua1X4HavC+1FKDhIHbb2q4oXbHIzkkWJzVca1lmD3IiDucOlYCX1QjRZQFELukqf6x5xXDfjv3ynAWCp/AgVNeezAl+7hviWgCc8lU3amd1BRzhJWddrT1SyTA4ZHJ+PPtg8Xkl0MzzkkSZExwK+W3Pfd0sxHeQeL3tIWlrejJ75lqstwJsri6JUDzzyeCE8G4lNerV83PWvVie5yxyKsGmYuqog9UiGaj31hWX3NZSu9yvE/oQYapqTBeVUJX3+EPZc4ne1goCDvXz1yEyuZLdHUK1U3MMmLQCfvNbg/CjMf2mg73f6yCqgN07oE37buS9zQvV2SEGn3OBa5XmCjYagEYQrZ2rOqa1rbPgvZ1dYc/89JXaeoLHOj7w+WH5b+7auoupep0tH+3cnlJ8tHjytAiG9vOa23PZ1utn5dHvbNDf1LN9N81hB2wD9LYvZG458Ah8tdLS3ACPhyPgSDbiRY7AuXDwEGV2kaE+ZJ5+5QRCrLhGwHKH+vPag9aJgWkCE5gsP7PnNLdi0Y/WAK6hb3gX4VR8LUBngObFvzNM4PliwnGSL6ICPiakXPl7F7Ad1leX9PdsuYiInft90/06kr2/2PsSheZHZc/kcBBqtH2d0c6FQ0CXp7ZXxDYzAvETfrNn/Y3tUWnPxnoSHQGTjqcur4AbQ5zy7N3n7x39krk7ZyI1vI3N/z5IXIGG5AJBTHLoqcDqAzRX0Xhpr/jMgdMyZXD5PMeJVs4x6Q6w5IntpZAX10pF01SgyiUG9PUwd8zDr3pYp2ViAJsKWgF8bKDoXw6THuuwy0Rka1KDRC1dTPr5ACxlKMAOQaXVh8ipyYjLvXte1T2/s1iHx362nZRLWMcf+M6bCIEZ4P6VIy2K4R14FN3C/sZtSTs2iiQrt7Ms7cxewKmyWoAHPkAnBjTerhhafzKO7JxTn6EZgTd9Z65SFkOYAzaa0MPeg9hbYvBpPAIDQK97WIgRu2PsjBq3HnHNRg1+dYhoxcwEvFJP2rE9+bvazo0Am941i54sLqty+mrG6FI7IIL56l5EE85Bk/LH9adiOhK2R6LXlU0pXnc3pY4mF9bM5pqign8/WtDeDafs330UX9URPI9UwDNwsHfnbW6ieYfSgpV/ZstHiEnv3O38xqiPzJ3jZhSgRQjJ4ukBPK6yvblfd205S/16MIxKEWYI1tNgt3Btv7YAfE67hF8ZO6kZYj3o3evSOump6XPUAt5mzPgyEQrs5DU/mypONmQh7nOeFEht/tvn9jrs3e2FcGGOMk0y3LkFaJt2SEV1qrwjnybw448D65fnPGZ7+9kDbgnQUA7dAZYnhe1wwrXNjdhy3k10cw1E7OxIDBCBwFIe19/ZVaAR4ctpDFhiQTnIYltfAJxIrsMGTVM7pgcVitsh0nXWd47t8isc7Rw46BrQS9nYe/wUMDKKWjNRE9Pf9EkdgBNdK663GUKveIjtDorlr71jerQlX0kJyAs8DzDlUKNuJU5/L4VrZ3RPTu4SL3Mj74j1nfDoUkTrIkd3F3C9EhJHsDZvAhFCnbPT2MpXz5wb+TuzNRUnbGQCfAORb3jHc9XnvkL+iSWTjdPOkYuQ8O6yQ6CJWfApS6IK1tn6vQ/Q4hUpriGTqcsx3RwibIdm2RpzL+d2HrSemKNe5xuTMhX8HDyvwRthpp96834HX7+30WqmQz7bezqN6KWI7xfRd1uNBOWldthAeI3TA+g6W3+2r+V9BfYSVHzeSlj3fJiAsysbXV/n2FvAD+BX80eLlL3P3WRD7wFmGh51HgXCvXevpyw0F1as7xTNNQlxdYxA+y2kO/IOfMEHDMM1YHXO5BqrU+QCj9to2bpyDNIcza87RNMAh8qXtFBRf4efCfIxoMDP4O/x2Bo7ywN4RTlx4Gh3ZURBRYp574Buiez5sgdYMqje2HODtO39ukHOsPfUrvlcH4BT9e2CX/oLaDRo63KaVUy/WlcnoEdsf8ow7+dO9NwHnC5yQT7svQlnChUQMMXSnVg/vbW2D7nt4466Dvh2r23uLKKDxN1Ocf1m+7Nmw/XVl5hanAXeFzYShJvttbeYzzrqJvgcCnh75SENM4s5xRoxhPkhXuc68q+2D53s8azx5Gaf609lZ/wZhXKkx3ZwEAnbB/XoGaz8ZRs3EnZBze8OBT5HGRUy+gZOBH459g7Yygh7O9oeCsApSFuaIjcBaR5XlyTK5wwHVGT3bOzQYXPNQe8CHm4fwCU+iUxT4mmfCfG6/zpzRHEN4ZMM06cc7fkPBl2Cn3PtlO0FjqMbdU1+CAlwJHFQruka1Nl/q2rujMAXYF2uX20P1hIKbnuYa9t/lePNv70VvzntxeAHWuoMdngAHrVrI2enE7rozRoIYXVTqL1xvL0piAeNgxVwmL2d18mM4iqKEPz5uyjVXLjpnTC+QBxZQWxBtm7HznTbudlLp4COMx6LOzt/xM6T2jSsv+0RgZ/xARlgj5jYH7gStcSfx1j/aElo7XQ4L/UW+B4muBvqXn+RETCF0aBBaQJ+fwC/3Ch3sj1BX/4118hsGtQ+qqH1NSA8N90G7LJgY/ZoEXDzYfYIN6XtAaDl+q4QCTTulO1Tx5GZ6MmqVH2tXHEA/vEFHC0TcprJCP4yAOeKxKvXPfAXcxPAtRoc/Ni7Q9hfxaK0k8B5KxHwdjR7sK19Id+BhWj47nR/EPaMRkygwotqJFXOQQNwcrH94znEmcKdKGjGA6wThpjy8uU34YDOAbsD3Z023Ex2Xn0unQj8zj0OzgF0Y1z19BMY8UP36mf/eL8XJ+2DHc3MA1v0OqqEyakxd8pJwEAfQ2BaPW3jZK7cXb9sIyWyI1mSQvzpvHxsYU0ziC3n29GIH3u2IJMzcIN0oJHeMVuPV6yngySr2vAbc8WXPCkD8ZYcje2d1C418qUote2hHnBm3sRCX/fLVA0Wc4QCfRAAj4Xf0OAjAuKw6G0dSytMXbsT2y2mqnuwI4i92gWf9ExWcEfV5TTVTn6RpUK1ayLwg4BF01sTbZ0d6t3C+eUbwAuBtbtmzIXY6qha5Ek4xZI6hTQuqKIvOYpPCt/fRjjK3fRtjzpVOwrYHdkXXD9gzR4NaIxGTOdGiIjzFKuourQS9iu0syF/e0geBPA74HYBaEhVm/RGxrSs+HSHmBVA7OrqUPdSXnfWL0UYdHukB/iv3D3eL1mpiPxcw2MqYSuj66HLMreTWUnyzM6Wj7CbA89+nTmQgdaZh+fCcnE+1aDpAvDhu+BOXYNfk94pcj6DjZld666/OP97yQQ+MT4zsPFKieCrTtqLFJOfhWkEMXxD+u5CQu6AvyT/7/7rE/TADezwQS2GxmbiJwraBviaoIWWzoOy7VzH2st7QWy/Ssb/uvmJVrbPQB2Za30ibwohH+JmQG3NHPDEZ54DADDwoiSLfvtimTom9rz/1izEwNpfSGxS4KPfQmpeCPoNWBIfP9c2z/WDCfUlNuvvfLC9frmfSYPEGGx43wHG0hvo+wEw9lYzE1WIzLlIr4cweNWaESEmUgzdR+NMlHGMVZgObYkzOVjOYDrNSaRdvxTDdQL/ITKeBPDUOhOAYQOedu79nntBVQ9/F9hn8E941hH/7NztbQfxT8bqdb5x1+AHMqYDYMupcpWQg05sP49jMlGwf19ylYMdejXozKpMY4GuhII/Vf06ZKECXQ/4Km1dDv44hP2qKSeII2BXxbt72KzPTSR+c5aYl84Fo37Wk+0xwgVjtg5Y/1Refm/RfKr67jMH9m7r2grkgC9fBxKlyFa3HxLzoCNh//EmbHnYoYS1jhzEXf8kOc2J86u/0kMZPUBvY+qkkrpXUznTVvXgK+60zz3R2zmQ0mQPCdrpOGh8jFqfW44tgSc5gGee5abGqQXeaB75tUPvEDdiO3vB9rkFvHnVBWw0+OSxF6Fy4NlcndFSBRAXh3oBnx3WZ1ViUAjtkjkdbx5rqUblslHbO/s4N/96WNdxKoStN5JODGttqt782zcEuB3+nul9Fr06sHgOQcO88d4f9dINPMGbNgImGOorKTsB/PoK32trsKacq9PeM6YGjUZBc1n9XyHk1kl61f+4qk89ePfPNYLnKtvx1Q/2e6Wd6Vu4gJO49Y9DthROCnqxe6tMuuxtT0+eXqmdtW77VLvqBrZAmSH7Cl3tWVvBEjs/g6ZZPK8YTyOwixOLDLU2Z+fvAQ697lMS0AgjH7cL8MktjQTOuH8FPiTsnAvbe4+4U5fz6SN3Kl/2osgXUwA2pZnQThGbOedi5IMJKfvja0dMECdq7rX33M5FkJiyMX2t4XMe9iGmsAv4TqJpwyP1YTkci8kF9EeVecEj700EGjYE7bM5cGHn7W74KfIAtz3qYJ+64pFBDKgB/0AbqSYy6d5Vb8UY3Iv+/uKiDksil5fUsfkTB+mHZLTnrraWEsfP2pcoesBnR9zkCPAf+LizO8STX4RmReycGqSZLNYFAz4C2AXCkFyPfN4BZwd9rScq//6eYzfSRxAuBMQT0GjiniG+2DwHWNs3wijZI/Blq2cBZ4HPBPD/XxDrL8T2QUSpvZ+6KHFGFfw7weDDPS4K9I/bVqYTCtHXGk5FSbxGYDtf4NzY+BkaAzH/I7PcrlTS3qPYustiAPLRY1mMndckqVC2hs/etfa2LhC+Q+gafHcFbO0C3JgJvvaYAZ2Adf+6JwLe6ddRCqzHnAvggeDvCcSBDeDgSMv2ViQpxBzQL5xSGq0/hD3jKrsvFjuyjf5pCT0QB7RRDNhttQvoWqcrWHXRYwq8/LeW04N1cvngRNUY2L7YE0WZL2OTkwgfCLIY21WwLl+FZygf5lLwHji8AH+cbsS0frMEt6YMNpkJKj0q8MV1emBqlT9nunSwnq/55lfE5BwchLjAOuzz8c8Cdr2xebtFvEKwJjP3MLFzTYEHYtavd8AJwxytQ+J++wXsTxHZeVrGkT3485gmsBf7o9As96rZ5vnac+lXPDzy6yRPZqdMt1QG2x5cQeEEUYPWVh8QzmfCF/oBey2ftRQC236DFfj6nbJ+Vbtznpke/ClN7Fmt9WF6qhDwIDt399QO5NUHBrjT7GTI+E2f3nIZLc1IVWXvWaNJHYGDgYawexLzYTtLfs1rBuwYT/uiDIhYbFYoPlcnLOlJS/CTW/FY++0olsJTKZPTrS1+e31Ulg+Ajd5VhIntZsZFELA+NYdE0SaBfXBSIvCUZO75DlqNH7BOeUkE8yYF2ulegH7cu85AMPgTaM1W0h6wyYP4FTPWgxr+xcpYwZrRBLO2FHbeEdhs5DcIK+ANFS1tDT+OwU/rauh2oNHeWpnu2v66AR1u+ygROcwE7OGQSZGDD2PQiQULxS6L76gA/qEX+spLCYrYMQ0wEYB74Kn0SgwGf/JJFqpS9g6sRsBtn3DQkKHyTHDk/gr8NrB9KwrZA6s1ITfBIKPUs/kD9GTrd51Mm84n0Ywp8l9clCs5byEGnSXGZ4JNkDtP7MlI75/aMkeNXPd2OlIl5892oJ8a/5mbOL8Dz/6u5LfTDitH9T06JGefLmkGPOGQD/7+Wdsk+0tj9KseNmxx+s2cCIHfp/ulv0Bs40BDI4iP486drrC2M8RLXuA/S+Uao9zuC57/3nCIV6XuIEamtbSzwDWSxTXOkRPq+H6zfVXAVjZ7RF932ZHNic2M9oVLR8BM27c0B7skx+iqGkMtbif5sN7UfTrmLolyFgAnUD+g/ZYssvGvK7hnSu7iuT6lsH7pPcNqxQABnvlH/Ld3+lvOyJCFeGYJTove3wKeDnaOLmiwsP6XC/TJpfk4JEFI3f4C+CYVf/e1neeQkC1nnay52gKmB9npr58Nq3sTKgZK7ZKFgdXLL24jrDbUvLJzp7cNX2cMnrBGXZ0z7ValuNrZGBAHP4/92vZOpM+eQuj7JrE4HDbf/qEkP433Z3WMUpnDpz05IETm1t0+tCdIi7rf+bAtAtxdTKn5lRe9qAuv27RhCvwptWufaHg3iFV7aTDEDDs7yC/BbvZ1WdnzW8x5dD8mfy6Al17j/r0VsejaJP3JQjKBuZ6O5e/9V3gcph/g3wNwCnqI0i9V6jAXf+7ALVMh7T2DeAN+Kpnp6N5RPivJQTAtIZaEO0cdwFm+NOsfWoKOQ9SpEx1qdPYah1yAe7gFKIfXWYpAdsaydkCDHnQE71W8r5phLWgCdhH7pCinbwoxsOqntBneb4DvgS3I0qjbHUpxzpD6qnvncIyEl5/+gkX8mY+f74sCA7KcoAh/ax6/m0TkNqcd9FcAfOreIJVw2+sKc3/vAA90se2NMAN/ykHrg2AT+8bRGOJkWhfXDPBysjFOsw60c7uIRRQNT2sdBh9F0vHs9DuPYz4O6w/Jgi+IPV+2D5MKq3sW0wPshaL23I3ThQ0dhKmJNrA/itvZJBqQpHuDNaLwHqtKpmPTi6F21UMM+EEWMQPW23mJHzT8PVuGNXA+iNDFkQUf9vwCeJpQMXcEevrOJ4fY3TzjHwgZjhe6BCoHP62lnV1HIP4b3DjpteHXoA1z0L7AH1HnHmLHL8C+c+S/zns/qh7Ivc1zlc87CuCXnWhN7pGBXyRLPWAC16yfr9XYuQWsEQnTFHByJYyN5e0Mvu4dSi1yD6e2hjBHYs57BboauBbwbJ288vSuHUfzvnLXe4jRqephn110ObDuDLH2o0JO3fZO/cvRvK3Px+jSjn9uxLPjBdI3Iq+hEukpZ+pDn8wpi68be7KXD1eIv+LAXOf0Orc59upOo6tsRUokt1w/iAArIcpT25NkZHhC1o7hs34K/Pe2d9Nd5q5uEMe83AhHlGJPEQ5JtJplVM0Kg6eMgNmOKAA3bN129IspQ3eQozYHQW/aSfNm6C7CyV2rMWt41wadEWDfIZf+CDxgV9seEkidatYFzJo/TifmYCSBklBLNLmqm9j5EsOaZrA2gK0vOxxzfp5bpqcKaVtjdSu89C4jcgJcVDtPf4EmfghgdBVK8zpUE3HgPR0tpe1xHes34OFF5pxvSmLLw66shz3kHZehsHf+4JPp66yyU6O1a2HnNj+5nrJ9JJMpgdD3lbuUN676acbgcIjzFZVXVpT5HVz5mw7+DBr+pixfddEiwGxVnO5Ifx0YxCXgUrb29nYI05fNBxylb8qdBWjvEnT6g+EuUq6DbI62imlBT+YH7CrI5FN/AXZBpIZ1PwLuUw7YbGMzkJTanSo9zFR7aj5EAnCXvtFeV/D7v32xbH0PrMeVeh3o4RQ1LN1SG78BV2GNHPgv47GNcfCco7b9XwLKdKFC9VMZWoL+dfRzFo6xOtRRAts6P8rtHQSz/YPES8OeyRjIpteZwh18RgD6wQzUI1SyP6tMdDYuEy7zpZXvwB//XJSrVd7PhY58DtyRA2fgFK1xE8EaSKqKpQN+7gOb0jc+pN87dH3xDaxC7gH2jHVM0DHp7JgJi28M9MnY9uqTJmmsQIsXEU70kiY7B3Ap7MY6wg53plEO7/diMJE9f7ZnZZWZEEVXr3bX8yExpRTm5ctvR9v/nF9tD5Ne95FHTukZ4v6hXdRNLd3bDrXuMXbKxl07fMCh9b+CBRshr29S2B6FJMii71WddGfGjGTu+bFH0YVt3v3jyfDj6c8rzmdisw5AJ9/Z5/UMdjMdQBfA2sFnZBfgzaCvdJiNaUdH81acIHbFIqaWz0d0JcZpf+Cpk8UW6fRbEU2GCsA063fAa4mIHgUnv/1Fs14VtMdlK0xGPcEbk25abnMUzKKlU+lT5+7cdQnxJcg9PVe2x7oQO8FtfoRAdezMgCfOkYlUe2lajzhtZYtqQ1zgtCNbfvu0B1Se3UbOgEfrTPOz0wB3tDGzlrYOjtpeeYNkOpZl8AE29nM80Y0a5kH3s50pKts+n2l8laADMfC50e6Xsj2yTRqDJo5gPV4cwANMiHQZeU8exLMHXYyTl1PNBgx61lnacvqUMgIMdb5IPFm+/lP3Nselu8mQDnXZfajPb8Sis3/E1b0Iu3mHOl8w41J3ZXv9Zi9dKaPrjXpnRND7ip3SJYtny/1PhR3wBHhC+s4/ym6i8XqqMQkOES5qb/ohjFyakd+PYhqFp8LcdW7gX3furt8aNG/qEAKJwUaW/5uTJQeb74kzyf3v+mQyO/taf9r5F3or4q48YhzD+nhV8e7VY+Vy5FC12D6lOKex8I6Ds228YJVLkVLwu1yqujZ4o73pQu3Pjt1vnVQWkcHOjeQjljJRjgr/us87l1Nw2iEDGlkPxxOJs4GC1vcFD4P0ICbnIP7ed55A2XAtit5ZjjaPK04PdAFu7Jmltj09kDnLyHnl25RyAK0mppvgOKsZPrcjRnkBmhdvHTncFzW0D+A622MPmo+ZHN5rn3na9jWLiihfEUx8FhFcS7MF/WpB5iN3cMgQaGI7T7X/zU1N7X2Pxt3CenzQnFZHEeCcv68OgCWFJAfLNxifbK3QN3Dpy5ErwAL9UfTU3rdiWMtRC1XVaEJZ/O7LUq1EnNo5L3be8pl5wSv2lsLoLXDf5RipS7ZopyhVT5EBTRzsWuls6zh1Dkm6s32DcmSi1vZ5EnjT9rPS3t8HZSkDfW77GBNVdgnrnagawI/Qv/NYHa+LX0wZcJYPz7tqwE3rP9znEnAV7CkTNOWucdjYxbRfrQ5MOwdGQr35nguTokJs7xUzW8CZjYrxeCiDay1hO/v7LePA320Nn7P9nfHUONnCWGdoRN6yEJ4DmUGUXbkHG5Ky24BMV8A3VC4Cw8Jq2bnUO+Czr1nu88QYEq9Xskxz4BFbDbALn7VqTn9vHOxUxmuqePW6r6wAb+G7KILvisDmUuDrfhulOC+7N9DOHmjvixipW5TAJKLnmZ6oexMInDLi0T1w1TEDHgKsbeFxt+d8IvlC3J13vgFfyPeeeO3X6hh3Z+DjcY0c8OmuOMZ60yABa/7M3cm5N50yW68RkRDWaII4fhG9IsfhbnW7eJ5ru9HS9tkDtDomPekqW3Pv+qxi3Q8HTfyyQ+BKlkADj1y/6Z6uKudZFw/sJvDViXb14Hegc50adLuU6dneNQmjKoizSg3dNzeiUMaIlgVLBWsIdp7k3Cmqfj61Qn2R3nndf9l71BT4NbHXt2w43xsTqL2DN7avgXCrxebV7j1bIx7gis/C9gFig5NCHMM0bC8M5yvYyyUfNBED/HL498GcgB578MsYMyV+e2My/fl+pwaw28H8GJsgiydHJcHAmXoD/bIcAPM0C3qIJeQA+1GDfmxcbM+wu2oRX4BXBWgwn5o/jyIxPT2prnBMtHdnFyLa3CS/M0BrLuevzLG5/UYCJx95TM/A8wIS8gdNpq984Ij3ts4HX/JhmvVAtlmsSRNHq0z6bu32oLmmfZsAf9qsax5NN84Cy/8yEU8ZjX5rA3/gfX143l1uc4EWXLUc7P/xvhJIyRoDXiw0UJyCNhGHAoPm5xhwkdbHxADX3C56cDotuwvwEev7o+Lbe2vrSUa1iMh8tsP80imZ1Rl7Tzn7x/sN4nvEDd7WY/ex93Ivs30/P695Fp+Br+APwicpeuQ3sRqKkoygN1YceLMw+WJ7ndszSjaSspXrW+v1Do1nw4GPvDQRA5yVfEpZEgAuXysdk2IPmklE4jMDGWZ7GRclvWcnO6stsnONl8oDHwZuBu945UKVbdlVbSlucpyiFge7vPcV+bQ9SPJ576rXmd79ILYL7CfYjT+CFgAb2N7l5h2eM/0kQ7cCfN9WxdVXCXCIEvfgixfNhO3x34nN1VHARyh/8rwhKzOHDpg2iUaV08Vgq7Lq1euu7bFD9MGMnvePb6dxcKzsHBsH4qO96znhSLG/fl7qDeAJICMOG6lQgfBGuSnKTAA40KW6DMK8xNcCrICjyq0j04N+CRRgPqj+F++NOM890KAgygIIo2bLIf7APse5MJ5GtiY7s71HDho/cWyjJQEOwu2c80Pl6V1zytBuiR6SqU9RGuDanQfaNgCdAgirl2zwX7mOEPe7MYN1PuL0IsJAtKATeQKaWz7zgoBxqUjHqs5sDxREvm1+QLUQcuzTAPTJ/SidU/VYb4oEZ63t4/dY/wgpTpXbHbLS5mT83o2CtrV9js0XcFnbn3qr7Mwv5CjAzpC6Imv7NLdnSrCGGDDx4xDRi2DCV7EvbBcROjgu8NMlK/EjM+kJ9AFoGm7vBrJqSDOZvGY8Xb2mJwJiLnC5jlrtzaUJbD3KHunVMQFuOOJV5sE6jltPDmnKkzTSI8RU019q8L28T78AK5UY/LgwnbLnw2zQsDd6v/N6r5b+6270oyh1YHU5szPVcQC4kHoyXtnZdhL02k24Tgc2s81LMYLG+LI23PSTsLNVG8eorCeID1TopRPS5gL15p7FyAUfujaYACtdv/IcgLOalKJ5hHiiKicNCtBbjaejXKZRxWkvWTfYWoG8VBdtcNLwd5cJ+mhEGrPFYsxUcdd51gJq5AdsSE/U9jOMu7sOrX7uXvGwp+X0TRyQ1b3dx5Rr4OlimD5AY9La1V+iTxH5/Lb1eQzi5U251/tzXlSkO+BNFOKksbOYAC5yblTYlAQ1fXcgiNq+4A+wxRffeN6/AXJuYS/2udsNKu6XgpEZbAF0Kj6Tx9pUYyfhXZACXaZN5NAIB5W7BjtNVVFOm+Ogqgzst1l0USRpqjnYbxlAHF2v9PKb6/gv13rRn3ZOBy3WJ1FSiAGZz/DfRYL6Ac5o7zTsGVAnzXnWsXO3Ody5N+UMix/Wg90PEcpHHVl9rx1j75M44IPtmxoCP3mdpYQKUY97gSk4PYsw8pULGDbaO0BlDkL0wDldMk7hcTj7yuj/cszuSwUrCxzQaXHvcIurI/5obb7xidp+KpXAprRzhZj3mzvnapsd0k8n4P3zQdgaYHw9mu1NFd8PUtK6Gaex5vQGPDY5MlIeMLX9y4KDCBTl64cEnpTz60b38Md+fdBoGvfe3ztnumQc3penL+0gAdeGrEczGSZ+7OfI1iaBH3yCuv+yOkmjzMttH6HevxWREzbo/VHZXl6YVmzBie31V0h/JswkJMKUJcCjx/PC7Uw3kXoV/501hni0/hKLmpShwIn1Wx2Sb9WvezvrhCfkrQEYYgk5gZYoi1DtWKiAQ6obw/2DgO6h0uaKppGyd1oCb5tSPO9IC5kutUuXwr3/zk/JRDXL2M7cwh63MziBS1NJvsC2rFbasM+1r61PDKqGOO/R4X2xvf1sLTFxHVsnZWeT2PvQPbU5J+7azl0msN9REwZvR/nbByY5hCkCnDvQz/eZcRWweA3xD7iRqxPGYW+lerQ9zoWkHHRm2LJ0zt35qnj3ph/vDwHxCGwne/57GASFtHfi611Rblfavb7ZeRv/fVehUHQHDlAcTXqree8yl+5qwEEyCGeH/q6AvYecK3mM1674XIcFT+NGqEzGaa8iA1rffLd9V3JMH62LA2H7MUcrj0a274+/LYbuxTd2FZ+iSlDDovucJeojk/rRLOlHzUnWnsRQjST5Z2cp6OjuTJ531tdJYn2igDfAl20OxqV6zuilgMtKNvH1E2we3mN7Z9i87hAHBv4mki2qhuut3ny7asQlSc4oZzQ9cuezdVcu8NgNfOZIOZbAXRDYWMRL8gZYlAJ+BcdTfrezQBkQWsCrnIX0U5vM54OdVUpeWk813nQnSVoRD3TYoFLgW28FDm72d+uBvhXj1qcCR8DX9qxUpEatp5Pp48jM51GYXc3PbmYUCJV1Atg6FT2xuaX23j1Rti/Tol+5c/HOwz9ZYn4qJIrGzqIV+FzHvZeBB7YQ91nSowI0Gg11VCHgFAvdkOgdHbEodzauI7Kq47XVdcAlUyxQKttYOK1Ud5XwR+b9nh92hRBOJjreDIITL7s3LP3MRxIfh9knOB3kMId1mJ6A49s6Hh/s0K0dhWmis6rEtwIYE/HSnqG7A5gW79Dkss16UoO464Qvx9Nvvs0M/x6Av0cHuX5kvblR9/ppc36Pm2uqI2M0t/VIOrN3cYoZmxucE7n2mD1bdslpD39u+rlnNk4+1pW9z9KlzYUUngTjFIa+4vwPj/AMXPQG+n9umSK2J2kR4qtCc9XCGhUh4RQb4C7Kvqdr50eSEHSzM6kjhGribR8QSy81cG/LJ8CGAP/ngcjVDWLRM1a//Is6wQNwNWH/7iRCdsr8Rq5XLBHW7rLWe/Z/FXbvSYzBPoOKGPPVoO+bSCZ7X/V5DIUBP0jte9ATRsANtsARf9qwulX8/tqvzxoHG8X9Ye+Q+hDfVywS8DzY9vUP1KgNGWYB+MZt3t5xaGd4S6cVeisi/0ATsSmcaRIyrYqkvx3k1Z7RBaCRzhVSE4Xg1br3lx0+NOoC4Wok+miWEf4p3Clh7hWYxowP8RQAbyqVu0XgS6Tquw3gHTvijkOs/cjdDGXD+gS83M5hlxR1mHN4Ao9MOkrHHKWqPf3OaknzU+RlEVraJXcEw8/7xSzeOgziTo4cKmxeMyJYuSI4hJo1sbiqcrryWO3rMfjUJe4s96mL69T21WLzebXcLgeR8gbwH7T7q44+oS4d+GbdV+MfB+Kbk8V2zpjjFRwI1yjyFvyHu5WvBhURflX6mXdp6+wcm9X0aTUQNxWqQFdVBmJ0Mi2W/4OvXOjQLQLi3X827+/Qs6eiEicdVLa3pZxudSzmSpy944lMNKoegGUBcDDQgfZeBscZ6KVcOgr49wNYxoPF2M8E+F/croRLLhBmLqIUX3lPO9sX4bVfrUuKDIttzcgIf0+4MZQ61U0mgIUjCPpFoBb/8ZvR9spynjiYjalpowgdGfb0AjEY1uBoK25iB7fAvGt4y+MpYMVAKxXzV74NytF1YqG5gZ9lwHuuGpngONKVHL792rXz9iLb75tlyfmWOa3LhWDNQs8Ega3G6WezdJgh/5EteCjidVDBw8IaRpkX7BpHbwuev+wwFd4fvy7NG4vJR41Vp8FuCLo6skw/AYsWNrSP42b9pt3Js/0teGhye059LINPHr0/bSF3/VXDiCvG7lz0uAR9MkN0h3VKbd/+33mIbULO1WKudV9dGnv+P2iIM10EXMvOUQISCL418Bux52xlF0M8euj4+gVKx+ORTu38m3zsvCfHcGHd7T1SRAX9l0tXAUd/reGtdf8+MoZPtdSR6GF/F+CiNqcixoeWt+5+MUByVNUwDNwNv/2LK9MbxyDFx6AC/PkEfTCBRgTbeLd9lu0ahrkQ9k5FAJd+1bb7hS3KBR6ay5WfQ+ySgpYF6xaGbG0F7oFDfWUnUYDfrghPVxXvL8DRR+AuhTyp8zPvLzEre7d9EP2jDoOBW/0I9sJP9KbF+fVeG5UARxAY+G9nc9NqeOe8xbCmC16R3uIT/ipKkxIjDnzsbH8ixz43RekZNAaHOGnzgG2d6Fv9ypdKpgJiweY/PHzVwqyq0nJU44BOyPK+vQPn6m2+AeDMLUfGrUEjZPae9Vkz3C6tCAhBgE+CRoLbXkj9ingdaPD2Ucfg55wY4Nw9L8W5dScHOIb45RuAbbsFf2flJAFssmMYPHMIC7Bd/bi67BREeqEn4Mz23FjViQHdA1+9mK3C6nCIsdIR/eCggXKbM/i4dhVgF1+CTYF12crfvBQ79x3JUgHZVk4j7Vyv+4MM36sGDKSOpzPrIfAgulWh+cjQ+pSV5qNgKqMxxsdoGijyCXU1zrkuMj6D7ejBzlHNuXjWOyiwuP++68veE9ragby45lXvKJ1UjwaLGbiTyk03HccuB272qEp6AU5oQNt1NaPTzklnwOEt8Ly8kf6+Hd5XDGl7rh/CukTKU0Jx0LOsv//ywzE4FPx6YGO3bxY165Pt4wlxLeySbIw8eN4fwPQx52sCNrGDuGd0QpkCjQk8C/xe5DknI2PpD42vYcaCQ8XnxdadNkL/yIi8crGe3FKNStVe0AHeJxrwiQ8CuJft5QF2dAq2YGce8KaD3KxXh+L9Rpbs9uxb9fl9I6EIGq+196ZXbehbE2IDvpGBvw2Nh93mf71MPzNuABtWLvhl2IImLgBfauCazZLf9PIXYgC2dpywk+2jtH4Tj3Vie6mIsloyd17YIpJm0DcQAahgqe1bH4OfxkUPtjJSD7TMKzfV3nvLrAR/FjjbubaiqEVsMIwjPVJMHOYYx57/StvHG+TpEcCfsj/2/GzQsgPdpW0jbeAl6qo+159Hfg1sj1aagM4cBcTi3/N5jz6ufeGlRTVoeL60bwaDGlgjzf2uGAPYSLzIHiGbr1qcqjtot+uxVKtn/psrYA06Qke9aZbtUsm1A5ym0AO9grZ/UKezHPDFozwWa8A/y4tg3V14OkeAhpwFt+eO7tbJF8qfNRlhimuzXTKp3uQY/Lv7i9c/4IP3yrTAO9CKDjjUThBr0FfVANoeVx7B+PVdgJ38rp0IZYzYmdWgiwXoYZLZWZhC6kGN4oujbtZ8qlRIhHBpzYZuBesw7pDhGc88EftFkVCbR1rymHuZzc329HXnpnlddq9zgE0LEYTas+RE57aHOWjaID9lK+Cl/SHpwKe7n8a193rkQ8QOMI0A1psShqgPcfWSIzGpUlwoN0rEXQ56FiwrtX0z+uMInNjgl/4qG7z1CLd5uyawvWIPvLo3gw/Yn92Z7C/aKNra2pCQBFqYz3rRA2HthYzVjeDOhz0ATvHK9Y4Wm4OmOHBedz3XvJNNZF6cTYGdjsIY0HZgP+61bzAFK0l91fdu4YEG4nNkc90ZF0Ya/VWN2Par9FTk32p5rTOuFtCCYdOfEfAfWL+/N2a7tC/ktPPSVR2tX/d6QRFPzv6xzrMkW9m5Zjn/+6AeRFOIe1R0c1HiM3z3F+wbVV438ahFRfjnkg+gaT14BdBARQlcZNEr7di6Ettzx5cZ7+xd3OkQ/R9T17bdqK5sf4mLyYgfm3AzNnIQuoDeAHk0BoGJ4/jC158q93L2edhj7e52YltINedUVc26vGKU2DrWrVn0A7j8d7aYbx6vPG6oOsQzcAzvAvx/hr220uVsC2nD2qhb7SrE6C86mXoHnGvn/r3C74fPGeUMc5zPfCcxUs4F9uH8917ovfyhyrSiZRodhP8DupwV8rYI2Nd7fsd+8pFPETuUouaAZ8++BKk/eKkKgfcoVrTXpa7kP997vD9Gjz3eWspmgT5z0718D0Ix6h/m5h7ofLfosR7ahn1oThDPt7nVfQE/8EFLx7UTPWcOZxY9A16EcB4+aWCOjSTnZ03ls74N1q1MLYjnuyzSb3nx7onw5et4SdADA7V3A+u8e7wvO8BHiDUWxKAf0AEQf5XIAnIRMnMy2C8U+I4wfyyNXgnO91kf18BlNcSKDjgjLWr7eVdfqKF6FEt1J2X32hs3+Pfy2Qf/bzbBNwUVsbMUFX0aSqbQU5sUMqKwjv1uGezG8a6y//Mgx8sbBb7BkgjrHfnWju6NnSLXexQl3elEHXOeTkX/m3fwcd5qbdKoiDuLOsAtlw62Izk/z7cN599KmYqrK2jLLxmYqXbm8VljJlKc++0Xzu0BbOTKhb+pGNnid4I1yYBH4czdBP0DXrUiEC98LCCuE5Jul7+reojmLJwnLdepSk6rBrh8MXbAvzc3WTzz+XgX6TE57zUzNVvMY+usR/TXVfxeHBKN53pXs82j6MmbiMjrzvxNcdL/609QKxlejvizhbx/ZMDX85J4eHctQmulx9UV++/2vMubkkO8Rx4sVkWwcUG3h3pYS/Z49yDOf+H5BIyvBGwz4vKXhv3Wg34T02nRSXYHPv+h3PkKcQf5qcUZ9t/pDTNRUDuiYwviNvqRV442oqqs1M8G70Rj1beYL1hMXZQbOOfmlPX0CPL5R/+v/hD0I94nrU8C1nDPWlcGAmLr6gq8/VRE6VWY1KlHNeZuSiseuu30x6t6uiomcWtiuwBuhri94UPXgSbfc54Bxhgnk9FVxpkLr33lU+4tv3vMpQUpI6/lGdayDNgHSvoUtG1UtLbBXmgCXNgXwB1h4xjtpKhFj3COTnKYj8AZPCVmX4TRLI5YS5b+APbnhzC8Vs5v7ibloCmziZZsnCcgBKs6yL2tE5GK0aNOQjuXgO8Tf8gRsVFgrxKcb8GA73+RvvUUw/4FZSsJ57AAfZ4MThOTToqOoscvK9WrTo/86+W7hJJ36Cf3Adxz5P3GylBjLtjHR7EH/fZP85hPMph7M3SfsjydK1evWp7eqGO72Rie+SSGrbW+5S7OkxJYP3iEM//KE6V6XHeAK7UePfRpJ8CV7XZEjp1uikQ5LSNwnkSehV1G+j82aDyriecH74czL+cAfj6Az++zxY9hvW5ZufHqIHu0xWUSduq0028f4pYmpBJY8xMLJxvXH200b5696oCZwOGuiGFF4KucAbeLZp5F5NS4usuF2uDMEDzXHHmf6PagK7BH8xt4baQiuhGLb+fF94tHWRVTDnOQ39G9moiBPVfAHsC9BaEWmObTp5cG2XA/Yj5LjanDQyXy4a/H+LpSkvZPHuXqEl4Djzz6BswNmKRRZl06Gf72BVyzWBDN9JJZosgS+nh6WNupC7qIbJ3vhRiKNTZO4/69A1YvLeueJc3PGNaj70i4Itbd4MwFseBcdH+VDfZZ9RpWX0Mc+NUppAjT5b8aWsBbBfp14+GfQZfedgs1eyZsvKfL4rUt5Rr7Qge8K2DATTHnyGK8x6MBd/UDsPl0CC/FPqamfqzdrFc27I+Xr+MIvPGJAVT4b4yTEuK02wixUm6qZEA2jVFDffx2IfZ/NrE4Nj08C9sfKtcPmAOx0BU5tcmOO9SRU7rB+uOG3+5suDuAQh5EmFfsfda9ZjJf6hF4wKBUM3aXwsF+sQjibGjL0N5tHe3+i/siOxia5qDl4Tx/VVbogZ6e68l8qyh6+n1uLfIFfHTLYxtrH1cqIS8vuB/QwYkCvdYAV2gs0I5W5mrr/fbse2Ka1y76eHlRZUWbWoZLFpp568xVGwLz4OmeDjZwBq8HnemooRsKG7Qlv/QQC1f/ckp/XzUVURNfcF6N28iL23CbcKlPjfVttyyNW7vjB8A3Oqkc0MBhS+fg3Xw7dRvAT+AxHaOCkK2rE9iryQE4Cnc3tzbsiB4NJ8LHmPjydIrgdc7W/XPNPi5MHN9t5lzeNKfwfNekWsg/3Q86pWD6rUhCVwNHpG76VcTpo3Iuacvnkf3Xg5e7kS0Gz+eBGVsW4f3WjcX2f3df3yvQ6pmMSayZ3xMZfe4T81GUZkfMH6xzoBkgtWTtitndmxoJ5pWSRv67I6/L+YcafgPd74uyYyQMb8yQr8yIHxrprJZdVJlfr8UveVx7pPRhzZVDB7FqTXcHnnlvlnQPejZ/ekU91gMZL6qytWmm0KnKrmPcHkg4+8XUPrCnW40iA8zwJWhlGoWrYuhWOQ+dvP/74qKrtk+HmqUZYz7fop8SX/s1cDKI5xhvZogpMemrFejVBX4N9gW62hVOvmxsBXy3si41xNzgEKcSzoGP864yhx4BJ8Z95GOP9mtv3OSQsq1jW6CzT2q4XA+hAKz9e+djdc2m6sYGePVA/uXPBtBQoCV5sLFy7PHuN3flDBYbLkM1zCRzZ9lEXYQzSjU3WGfmZq7/8u67A6u9ZrY+Q8y1DqO4tXL9U/XtrX5cToeJzsqu7ronG72Y+2FIoyyecxZ0nQJ+Uzx7PEhIbJUSK7+2bos+yKUa12Zrk1IBPyJL9fKBWeB5u4f4EuZjdOHSXOuY5ozfH3Aecxnfr2y8Z3LiKwE8JHf0V8b+rjLASGF1czvCZ7JnwPEog3NO4WdOLBDlIVAmw95L7O4OoleeqDyE9j+dP2hK8WckcM8pDfGesuLm1si7u318WwcTnYHLTIyHdgaSMAu9ug0Bt9wW4qnngv45KTstmBDXYojCJjIe8tBmyn7nEwGHf2BsFXF6Ae3ugO44gzYN8O4JYqonej0Ti2wI9r2JyNWB2GLeQWMtMwAfcYGDLZVdMIpzA+G8XSriZC7ts0ftpKC5XjVL356O07CIV8s+0bcm8BcVb7x9MkcQD1OIZ6rouy03w4N9XAo+hFdWzj2P/6KnwHO/0IW+gV7gcE6wX6Li3POzoAvh3P67XwlXr31Yazvym4/LpWAq0Yn4Av5HAaPvW8fsCRPoCZnkvLsyNzKC6yGLzGcxkZTafGkT87yTq7h30h+XT9A1I/CNuln8cbf46Oth10H3ivMLs3KHJ13Ex7kngTGAW6ua6YHHaZXZJqucdKN73YF2K5qeEsn5CveCCiFYMv3VTObUCO7RUlxkSf+djVLBuRus3HTPvMULKwGHScPgtVZuExbeD+iX4upYO91WhyLVky8p676UtKdDrOsigc80IL7+V68xgR6IMy+fhJvxu4t5P/TeyR7rrJWA6qC3Xli5decb8GjcB46IhkWKGX3ZaV12X7Uk8Mw1aJv7RztogfWA+9Cb/vFc4kFsAGAI7zQ0PenpCHzF1w4Nc3g/wB43l8JUg3jFebN9XIZn7kWKe2180BL2EbQ3/Fv0waLwKo2fK/SF/VdLMmcjISSMcuV4H3rKYV9CTOcqVzZ8l57sFPpIGr/Iiu/Vvvi+Yd3Eaw0lyMqDUU5jxKwWM5GFXLLk5Gp7Xg6JgFM5i3qaQ8CALYdYkoOeysvTHWd6UNASLByueXFhsvQ9JjCX6mfYJ1Bgd2cokAe94ryFOVEd4vwTU/OFUD1li5xIrkacRRl9kcWH2EE/sE46F5ub4hXw0C7k0zzWo5CAf5sGPTqmP+di+eNx5/6Pv5TVPZ989ER58d4H1i/sWfrJSpIpKfLCpbMOSVALwej/cNiX5s91n3RXDey87mleM3KhliB7Tm9aRl+tnT5rdvcQZyrLzprRDjHPtufi9y4F68jIsLluFy3VsN6wRdu5ZT7q0bvB3tqDho1yI/rnXTHoK9gnS+Z2P1mpj8zx7NxJex6016wUb1nMzyQg9fO1ZfeWQ9xl/a+v47x1zTdnf26APaMU6g4rGvPp70srENAxQRFEhOLdmCtG4DTHfIE1jqvzPo6+2xFnXgkKXFKQkLqsh+/LQUFLvcGZ6mwkr3s2B78nrEWYWfdP+C8/RH+sgv05qwlicQicYUpj+D19a613db+57uEMiKjjwHvqOtA7Afu8xhmHEAvh81X1OMeEke4QezZZ9Kzkb+2Bs32sLzJQ563t2xq4CYlphDlYznzFYzLjbMgstO4sEWPG1c9hUuU+nE80et5jDBCvVluXPu8N2FB5JO480OCqWDTZuX/sxlnHLx4lg6hWPeVSzrIwoM2AJ9Rydc4sUhXFeltYdLeP55qM4t6C1oGnuQhXjxnWxUZ0aItvB3i4R8POfXJzrCN0Z5EL/xPOimnL317plAfpF3o97RY9iWfOlvwcTCrwM9NSuZqJqAXUqMO1Befp3MDrM+yJQv1kbVYMeGDtUhe4a//03YCfq4b3s3bJsXX4/TCJ1QuXC2dGTRqS4d0jXOAMuoLK/NZwzL/RqjXtFV5TUEtnsEdvtbu57ixPNW7uqDK6Hfh6hmew2jq0Y8V6qOP5Cmc2pw5w4WGdNaBXXnEj4/RKhvmnWbRRQt8y1ySZ4YAlc1bzd68ehA9cKdwzwvfRn3M1/j0TN90DjyF7rNOy9Bvs0aCxyBV5IvJqFkTdzo0q+bF268F64Zc6jN5wiEElJdmNPNa54utCxN6JjBBTrXUKun8G7VLA7z2LxL8qo36y8f75vMfmg1Ow9twAB2eguw5H0ApMVXvpHVsuTkVMVzvn72sfEnT5wH6tHF6resOzcXNloR1X/P16GC6e7IXZJ2nUOIpSjjme9xtouZLazxzhWTBTbN32RmPz0JF6w++15/OOyW97z7A/WP+vHmBBL2D/J4tp2ViRwf6AhpENAxTfl3g+9Me+FFdgxe7WqdxDQKu96AhovexQku0/bEyv9XC50HB15tivwEXCuI4qgdUs84tvuNvFfIKW+aLh5QQxKC6S9KElPepQO1iXlOE8EG6nz76B3lj5GC75or9U2E10aldtYLKdS0Gr3ulzvzt/AUfUnYvcFnCqYc+/8kRfeko/dJ8t8LNb7ihz4Kiv1iv42QsL5+/dA7SLVDvQ+Zs99vg43FI40xFiZfu4eFvLJv/1s+BZ/5Cg00FXAfdKZzHOEXCQVw3nLgMN0IzrGPldK2bg710G+6DfRynOhnzwiTtZ3/Xc6iD2rT8rEa3Y8fKp+vAKmONC/K12C/lWpc8pYhtT51ZePvfF+gz6qtuz6FVXuYXdf80fa3ZgA+yRKCqstWmdu0dxn31823UUKdAurA3Uvbbu6L/mkjF62zneolju5AMpSIxehJtzC8qPSohxgRbAfy2INVg/9fXqXYK/f1TCXJ57GHuEnfXcLjTMHPV1+LjwxvrrHcywos7q8a9H5eZADHM0Xw+wdy802ixFbJ/lJAaJvRIQwZrHpVd2eNYDYA5vX3HjnAluZ3D0WnieOMdHO5qg7mkBowAvPwAnbrDPvirYEyIhHwWni4xPKyo9G/3BaF89VIi1s7OrywjOtDZYZ9LK1U3Hyj8Mv3d6n6w3Yi8HpxGqEqyLQXWkZMjdetHf+yT0Wkd8A8fYaqzLG9KuZv6/O9byZNVRegZtscLc6gF0Dh9sGzDqhu6ubApvIvB7nfz6OtZMco+P9KiK9Q9zBvj3blLyktEY66LEgwT+igBXzUVuKad75sjhjK50T7fwupyEfKWfteJzroY0Aaw7HgCnGSPHLeiaJtHiN85bJ2cfq64yZl9Y2bmS1hXiGHA9ivOxLrllb1rrfm7HG7wXt7IJYlAQ3rOQLDShSi+Rg37Xz+ed8Bt51v6nLuha+HM3suXXi/uNxd3QRNEiMMXGwgW4dN0avO/WHFjXkI1RIAToYcujufsvBw+8JQV9hb7Hb0+/5OOFk6X7plyNnFHgrqELtNvN2V/AtPl133tqXHWUgvZ86Jw2jioyZC5gd04cgX3VRsvVQwU6zm36o2N6L/rBruw50TwysAdtYhSo3MFhH+/4fFIW0yMf7h/EQZ9rncBeeZ3lHuL4hHlFwLSIPe+lNjexRBz2A1r87AupV8DtJ4r1O45Bb8NvbXcnWJ+4nk4PWOsNrh+c4a1+eiyIO+9hJbDWLkj3ZPjN61Vw+vJiBBbaZ1f4RomAtaLw0Zvoz3XnrK47d3Yg7ua6NBcVz6kM/E/01Cli8wXnfaVHk1LXf/qDiZKsqAg9AmftULzbdLx8wpN4vRfhtihAU1lZrzwRwTMHjbXnlY29NQemLZWoL26Ft1zmZ5UMK+A/Vc1D59BnlnbNg7lqZHg3aaKH7gHPFo1zvSf+7IfeXBX/rTFDHY8ehZjL3srxPtMkPJNS3CEmY7851rKbw9RteB96wO9HkvxFLvMjHAhjPMKasyt1CG0cstGht9+LuUMPzEMyH1lCcm2/arEuMWilaeeYLzKICe9cakO6XCrQA+sC9G8k5P0jl90KuEgnx/Rj61xgzS8diUDUW4ND7e7YmCgnY+bVpf+mga+Cfttw3IcyQ1X60uY1+vs0U4f+TYJZ9teB/3V5r06HYAPc13rOqi7Y3xVgDXv2341rCRz/2jheUiztwq1L9IyTQJqJk/KMk30LfFIMRnEjvoT7m/+qCPBnPty8ffyO3gN7FeuxZdwVdvsgiwm3dpoeen7GOvTcVJZw26Up0wW1u4Lv1U6p3YzvDyXpVyP0VxanL+34Lx8j51cuIAUsdQ8J8aX8Xkk+Dzn6lhWXn8yOxoqfHg3oM+EaVcv199bWYxP5D+KQioSzCxqlOwRmp4oLb0ezOcR2Vo+g+0Ks9TN7Xrw/DsX6VY8NGmuOddC6raBWaxkD+LP/r0fko4nSDyn0vuVrixidi3BYHZJupcK/tyZpb5W856BrJ4gjPvCdUxGYvhW6Bx51yqL2DNxxW42/Oalj0xuCNd5c+LOWZgvxWoLW7IHHbmEvEQYct5XmCmc7zcLuM3fez4CbvjboK619nhDZWKH3zKWOXaijk9VMYoZYt2tjytuJvDibwfkFhfQebYT1Tust6fU+WzZnYhM4Z2vQ+Pe5WP4uDdapWGbGnJw4fl93S1pym8B5hlgZ/QF+8i9Pr6eIAO+eCqtygR8eG4e+tMPXYZoz5VQ3rI/JomgETIEz973UCbAXgfW9Xl+N6V6UZp9FoH2czVXYPqlcfieDEcpa+8zQLaz/QqbBpfB9SSg4nK1KxzMR8IReNUs726zQQ1gtOLt9noCT052z3hXcLqtJWZK1i0LfVd5ehfB32lZ98ey1FQ4tLssh/ns9yIuTG/8iFjMCr73l/PImjSqbx7ujj7/1ABVghb91VjbwrhS99PC+gNjplzy+L4IbTmFfsWmmdPKzPZyFdqSf/+2djAmaap4SPVBAUhOxpcs5v/uZBXzJmCB7zj4ir/7KB4m9YWereecK4Ebw+y0PsPUPaDfQ2iN6mg+eNvj/LxWH9TpgrwGPvrj0RjasT9qtripMl2eNrokciT1hrPJY77uH8bIHHH/dA5zgzEnFPVi3bq9HzxImtPfx3dvZAzxD7hWR/0YHasnjxdXD+lO7dGmc99UW8LzB2gd74zVY78RUnHPAdef7weI5PpSAKYN9lYl5reF//SZdUWDGits29rJU5bAULtaYip47M/BQzJWrY+aqpAnNkBXv56IHLsz8T1ynSlR32gsJnJfR4d1qAdEziNNFrGm9dK+e/V3NM2e7kB/Wd6uD0SWcX5mbSPKlWmXhyWXRcKcQxA5htMkdiF+DwtpsBvrxWsvvM5zPB7HFWVh3i4XUU0H0KRJDQOkODTxD5HO/99hlasuJfLVLeqFS/DR85ZKwswqePQ5hawNWv2UG56TYb8SIFXoGYZ1yW6oVLc0XB60IHBj0u1cVo/ddyEsKe/hejdHzvLX8/sqbf1D+jNEOYKRFmMaZM8lBaIq9X7mgjE9CAvcKcgmflYkVxMlvKv7eRa9JxfUK9g+v4/TOZH4vYrVphnvNP95B34tLG2J/4G9OymqY//H0X8UeOqknGqDTZRTU/HbOzZ+l4MAmSxHVg+fThNybUnzu3BPOtfD2kTrzUTE4A1Sjv/FCKA1VUuDskkEAj1JfLFH1K25UArSZFG9FvLKLPg0y6+ZRzFPGKWLazCJSqV4bbf+xDsPtUU/UbyNYQyYWYv9dsfDSPfUeUxvG+QJ7c8mKi1UH2gG+QWq7e8XDIWPmhHNuDoOF/WQ9g3UC3dRjnw0dTIcYXyxGioSOe0aZKMUJNONRBgRieFQIJo464oAX67IRf26a6Z9MUOyP3dcJ+gd4r334JafOZvbcNUYAf8WZL9EnG9IrhbiYO6rTVmgRuTaHsbrrkGIdaYF9GvDcYxIolzsa61oEja3HYeLnLfDchq/HJ/e1ooeyutdZPispzi1wlHoZrnCGP/iE90qhVQ8zxFgB+78Ftvp9g3j9JXh6Jei38897ZMhkB1xk/pBM53IwwNejf73tY3bnxbeXBRHsy9+44TEbc2kmgPUOAL9WDVOihU+L3gS1ST+LQAdyDB/AjXrmdh6P6JkNFwW4sMlCSvPeRK3Efo7oSvvoph37QowP8SoFfW77+fR7Z14UcegCV75mSbVSJeChZdBj9QT7V4Ee2VfD910nEazj/HUwM3yf1lP87tDjJWZL+rZ1hzNdsL8Zzs6Cs64iowy3+aJ3sH8+Of+dRTvnvQiA30+g03bcDdFnxW6SE/Bp9dEWlwJ41q4aum8dUfGM7xGcuQT0D3rGl/qyDwjdWqsHm3zYyzM+70I5ZDmI7ruxNzc+/t4DQPzWEuLcUofRRz6pTDj3WIzCzdwQvk+qBMtvFYO97EReIYSgcE5xPg3WwBwkOSob9otNz1KkH1ksAs7+Ym1SvQ/8DGIoarnydw3dAf3Bz4BznXLnTpjNfWtt3DaKSgFagCXd99PzDvRAO6RYCwufXRVwZsUe52+Mc4x3bhAjL9ifT23QVY7pMx7lOeuAv5NXT3FUDXb2rP0YAf+P7+4+JOqA9XeDee7ZOsRcz8kqnPmZv8A+0UPp433DJX8AH7HCB+ynvYZoQycK/Af0W2I+gLO4EGf/P1ZifSycZeGrAT09/z5YAG8+td6hDM9t2Xq1dbtlHOKps860CB9k1B+c22//1eQ+AOM5KecolySlcZcqrr4IzqG10xo1L/ZVv/qJ6uS0kMCcM4vu4HxQJaL0v/oNh5TqB/h7mPP0kQnSkdA6bx/wnZ3LHrQqbjlLTdG1EvMKa+BxVpIMwwW0KqLhNrfWs7ayl5cprH3mqYh4vAd8hngE++OYib/Ak9FP+1+NOg5LbGQ3ZtZzHoAq0Hck+bsciovLwnmHNbZbJ+2awJ94TAwTwO3/85GW5uUDc4lrO7/lhmxb4EMQ7z4Yz62GXxLsu2z5pT8wamnjZ8Ajz/uEFLngt8Zqlwq0AaDQDeerSdD8HN2cp3wBbRgXAbmQEfgQ9v4uvzPiXf1YL4yndTEOVx6ubcCkZGvPM6jsW+ZQ2IeqgnjPlR1CnDJX4LJ7ifN7BN3KQNyyhURZ/A68z85UQN4OSTq1tqn2QhQC9qQqu1cNzBecvalxNHoGHLOPNQHtX4m+A7zFml7U/9+rdiD//OoW5YGiAm60RmydKRd27s6bLP5e5SyVGfB4Luczm6JtG+q7cqOlLruXTvnWost3Du2AqyQqtP3KBoozAgZz9cnGHPP1Mp/EdzvqGO/VINY6gJOnNulGwH/ATb/OB5xVqvdNAPp1+nOTkX9pAOvyZz9s7r5qD0i8uTd2lGA9JEkij1izTfu0y4U/FrK1W4hhxdKpQq5XwBkDvP8FjtaD7qor2x/UdPKYA1hb/rFB3z5kn2ZbZy2JiXhlZVYxdI9XHpZPfxa2EPQEx/6GTetGKXXSgSxqyGw1Kmmd5WhPOAdD/fOCeeYjmTjdMacJOAfvb95oXF2rUahiBD6y/LmKiYY0Bt4sXvNGv+8ZrJu2tJDDzXn6xZcE+1P4IYQzLysXa/vqwU7qMR207AYd/LHz4yWBPRpmU5fkRnTZc+4i8VsrvBdYZ1+2CytBahuaU0Zed5W73eIHDOunHb2nk3C1IxaJHBr0CGjJaxN0X8Crv2H/AldP/dwlhbLnpR5Ba8YQErkm6BuYo7cyx1q7+Ss/rh/PO6YhMoCPr5zUxwE1G/cS3qMnS6T0tFkgxp+bKLxlgRI4Gxb4CpeCPDEFc4JNRC80FD6LWgf2ZZXF3XEPr2XWvawGwHFuAEsug+bRrZGX33q21pnfirD7QW/+/MnfRXdA3ir0IwsM+hxfG6lr1AL5AFwupnW+pMk+NlsijMx5dctYNMGaT3Cu+52dFuj9u5ckgS96rZz1q+8Ge9QmPZoj6LxCyRWcPX+jez9U48qtJ3JWPXoMtCsq9ZZa4Qpil6Tj8772IhN4hiLK0c9A8NNNh+S2czegW7yqjb0P2MW3Yopefl/n6vh+PRzfncypro2rcuKsIY6rz8rQE8TdAHTnFvR6gjPc4GwNeGewl+aUDSsPb/rhDOya5wyA553QIsx81qUGIaaAD4RLE/DXfRQvytDDugHga34NnAie2XJgXdAOwHsCdanDzaOJxb3FGVzO7JIYZ+M84yGF8/uTT5lXTwZ99KZ2CAEvxLGOzAwx494s/reyfmcHd09vHMe71Y53JaVQeGcE59jGGmSIaftDCVyQpT/F1PFGdJOyox/Yk1FempwGStZ8WLW9+gSeEpM+LQ/AnUSyebAIZ93oYM8y77WGYgzPxBF1HfmCwZFgJbXaMb/pxHwVsc1qO9rU1rutjuuRun4FcXzkgeC0VKoGvNvLLmVmeBwCAYjQPbVJhb6oQkw8xBl1v37Lj5b50aE0cB6ooyQFzZBG2jLfoP0k1pFT4Ey1rSsCDGjPIqxFqPny93xI8H4mv2WGfh0CPdSOeYiQ2g3rqgqefpNEP8jHdTi/ZmXeMkBWOW5W+aTjxrr3W9cMGnSbHq0r+s4TdyaEKS7E8/n4ReADz75Ealw/eJkK5GhyUD/CnYvG8hbmhBbsd1EzugK9leshesV5nkX5rXb5g6O2djo4Y9iLtGaZ6Qxw3+9GaDcr1bGBeKNYthwi9VNPp1s9dl0N36OwsmtuA3SHA85a8wt4/5x7H6oHbhifFjgXr1pHR5WVx2PbhbWPWZxuiwfoGfG8gwGOvlo1Bp6mrSqBnpo4GcNVP80Y3QtLBMChc+aGDtamCpEqunQe40oyB32NxRXvaFGfvu6jFNc9Z6Ju4ighoNzriF6b5515tMKeBTYQYHSK4jwrjX6jjvH1FEW1hOOMM3Wl9mtb7eG7Yw1y8v9q/TcQs8Pa+c0TfRehkTWsMfbxsuhkZcuf1SGmD4VxfhAfzFYQh82TV+kS7wrTzzaOrlnQOkXSYT+z38Z6AX27qR+XH5rA98c5Ofi/4v2s5eZVi3WGmFPB2kfa7SbgIwMbcN2jcR+CrnNMBXFEHMr8wUyqarcbcg58ChRjs3RbGa+dWob3NlCF6mkCGujVJ2wdBHGLhNot+51RWFXjugQtCliNsabbyRHndv3nSd2L72ZY/xSyi/dCjfmCeYcUcPH9pvrM1RC3AJ84DdGv4k5ap9s2to+eUB8E679DM+GcnFfNLTteCGhOynC+sjN/NxGZW8Ba9ALlSXYnUXjeCx/zO6cm8fdbywY8TNHzXog+dQCXd7WTPwqpi5xnVjOIDGIe6uetCoXQ9q+HyYh1/jXX56avrEaK5RCbtxw+cRZmVzGsbtrVbzrcrOrBo7ltPtH/RIbDCvvZmW2OTZRuIY5sYQ+fYC+pdvLPRdBaDehwZUTOjHn1FP9bX5yXHIlH7prH1soemTQhzr5sXNPVdnqB9yegOSAO5f/ds+XeYbA7OXx7lSFv2aJ2hJFKloSifwoHjGmBu8OZrdvH+ytvbml5j6n0vgCzjrKkUwF4+/TyCNeScuoWIzHE7RSdTqDt1Ab3NOhNLkM6KqG8Crh13mN2lmKtxlijr760P4TVYS7dba30lbuxiUPeagf4pnzyB7zPwmka2Ee/KyYfOHf6lY22t8V6miHCWQPYCw/s1R+qKR34mDuKCa+xyKMZqc9DWKNeDThwQjOSQ2z9vdODn41bUwGm8GUf4H0G7EGmy3/5fnNsEyHVs9fWpDrwXR4AfqA3JbDJrDeBtiKB85EqZ1j4c16YmDUTP22xpjUP702ZOy/O1pq/boG19kP7QJ+Xp0d4TAkJ7z8Hk62ycT6quDtl7I+1h73NQNeJwHwUrpZS5thDjvUhCSgo0PjktI/bFXpMAMdzd9bzjt3/H1YCb7bmSXGbAs9aKVcDX8e5o/6dy0vaTOmJD90/jycuEjoIeKlx2uTPVcNzgfhUZBbOxKIRs0O3BZ4PXKPLjT9BTPYVxKEXphzCrpCSozcw5hdzrHtUyTwyC8gYCCHQihDT/vO8AL3DOHxXiwrgWZj1rFW8Qh/JM3AL4PH0hhoV+HiK88vyPnoDvf66B5hpIHJYLxs0+xM/RHzZFMn8gfdGWpp7XfqLDiL7OddsmD9ohHUsBtAf+9r0oymfntYQDylyuh84oy7whWuO/iyjAbbov/hGDDE9e+bpghR9Qc6FzM/CSoF83nH25tMrPQvXAZ/4mTn3UYPOaCRxspGeq8lMwCGjPdfbjP112rB71teD1ghAE+EsJ8AA8cov+zSef0h4W4pofrBh88ic95VO+K0tux/O1xuIsT5wFMKwZnMC3gtnQICmkSFZQAfcmcR6VBrnznrIyq4WUYRaYtxhzem/vfw7J6sSEdag47zUt2wyOINm3wZ6R+z5BIS6boFzgkaYaHxz68XPSaBSMkQLkzi3bHi0xgzwvKp9klbAn4PG1XgPlBeDIrI0FfZN/PZJQfxRY3eE3+0CgFWVpJda3j9V8PcKn2kCPuaLHtY2MTnru0su/kD8Dr12FA9lm+csOT54WyYvH3UcPnL7z5nbes4WfweY/fQPe9U57BbEU+yh4k4xwDOPgIsWawW4sEdM4FiD9PF+rksz6eGyPL2y+X2hjiaKYewlsRawLx0dVItCn1tCw/CWl9HUcg99E16cDWJrBxx8TlUIuFkK/z+/uoLyAfhy9Ebl+o2HBiIecBDLm/YlzQAX7dqlIxntDj0YRATPLSarZgDNuAzoG3qXA7dEjL0WvzPv7pwDlwXcPkT6h7s5aGH/Ctob+9g3jbVO24m4dQm6e4ySYqIXhbN47JOlscbLAh473K8VYHpeikDFwK/K+WvnXJI6JqMc0sch9F6c7UQf6yNw1Dde0jmDc1qEdLOzZuxF8A7mj1X1f66HMl01oZmB39cqIWMuU/85f/WpT8iHito7RS+JZ930+3kPcQznLtcSPRT+581SSMIKprE/nFDHW8R4W/iId2kk3zo25vB3HPRq4YYQ+/7zIkqEnRv04IJlMXOs0N97oXjvgh4e9bNfAhhzNtzxzuHlHUFIrOAzUry3VninIKU44bxrIv8uoHmUHKOLZL4lDPA2KwSuGO3w+4C+gHO+uSGHI/DYyBLlW6s7NnYaV8DjSECOjAtfhL99o0M+kmedM2DwikX61th/rzy0rrCPSWalD5yxCmfpiHMdYS3RqzvPnnfXwvBe7JsItHVAusyanzn5yrpvMzsFcZ3+sBg9wf/HsXMn4lJG8RZnh8XDmUnswTegwbtv0FHdziGwx7tVi3fXVhcBS6TE4g/2sX5rFrVty/SehZeQO8rNEth/8uk98qXxvtkxPeDV6/6wzIRYNYK7dWymZrgcWYDekPNHxonHesw9Ikdbxzp+ehbGHBdzvIcENdjSjYAJ16qkpp2ic+PMfmHPvOY2IM036HYagI55zTRBX6q56tNMh9rNpX3WsD9oOa+EEKC9u46zDtd4bCz1hvkOwG70P9zvWedXbtTVyXxvbf/63FsLWQqcYwL7VXIFum2D/i4vfzacrvfGsd8L8EabOXnOSZXziQAe5RYHHhcdlePt5Qixotdf6OGYu3+v+/jdY64QMgQdK4zfRsoDTvjNxssRtJwP+PmpHRUR47/WkCO/EHwdSBaeDy//jEnvIObfDiVZVHzHvmuuEuqRUV113B3V1BHYUz+KoR83ehDPczWCNuGkhr//53GIs5Fkt9KD4K84zxwvqZGHDNEOtP9OlvO+Oa5t5DF6/Paanpbbx8Xox5pVI4Xzok9Fn+LM4XBrU4J6e+v+83ugHxfeOhtbDSapRuv8n6fyq7ZHKYa+EqDrseIrnvcaz/8gBJHeB84OZsC7KeBHNqUuxNujmIjKIlUAI+kKG/N7oO0jUkpBg2owS1MaJxdwjoSfVUIXddS97uc/laBDy2c7G1NAcazpiSh662QG8zzAN4Dr5ohVUXaDZ25A1wP2aK8O//NTlu93mdBY8NW17vMVt2z0eerUpAtRzt9F8v/nE9lRvXQ75QAuxl0MnOItG/OHShTGe6NtnGeVWQJn7zmnR2PmEbTRWY4zxE+KfC18xhDpZWJcY2y22KSzytZfOiG73Jlfdw4QI7TV8uoKZ7EgNtlRvjagPy4FevD3mrT2PLHJd/JhrZS0OxGGV7Z0+2wSwOOpTwxoLzudec+vNXA0nKejbPoDuhMwSKX5Y/3i8ynnlPJAT7WF88u7AriLC3uuB16Uge6oIdaSXMJ+HtKZTJHfuqRruIWzPdynNhi8j9zaOAAxTJR/bspu79WysTSetyAaD3x43c9/MdnZT07HI1YkUUdH6wp7etLwTJXrr5SjvwhwIv2vZuLaJLSjQeqJJXRrpuzGujz9k1vg6vUiiu3CH7T/4woryoAzPP0QX3EeOKovRw44m1bIx5lLJ5xnv482HmOg8UK7V+Jk0zh9y8KN0zoi2+M5F6kkIXCc4t3L0M9hMjf93BcE56lgPdyuHUhZJPz1vSBe5w5hKtuX3SQcUeWOdzqUys+PF6zj5SpcT9XkX4tI/VTyUoHGxVlZPpyvhxyqB7EjSgYP56qkEvRfEWMf8P0NdmtcMUoon6PX3TLll20bpt+gRiTEmBP2EVRi7jLx5y44ek9u7gUDnmKpGZ6dgjX1cWZQHf5dGhbdSRIB3kWBGt8fMuELD9An7e9DhXYpjcA7hZcXwQbjZVZ8u2pq7ZpHCY+fPnQ/9FUPVUZxbpGVHtMf4OcD+gkwKz/vgDfp0VtYaEacU8f46QGYinX7b9RO+zbGfj7Q7py+cvRGR5t7begbj58zMo71KDxpMhvOhq2xz6l8NiRdAZue/cc7F/ZWDPGbZV6Ldf2iO6uQr7grpmKge9BztIhA+zASs2Kd7/83j/6Efk+tDUpIGHMY6LkRNGm4FzN3zuREUzbQTVaabQbYQ0GTZ8OwFB8XI5j/73tPfk1LHQrH/s4EKSEmfbCeTnVotgQ9hvlvb7uvpfohzCeAC1kGGmPnkpJgnecA+DJBzPlYx4qBnvhYF/u4wzt0S5YadHK2YlO3LcTGqtjGUiUJ9yFJ0dsbe4qQ9+XWv1qHFxctWBcIC9ZsJBs2zYAHdMh7c9uH9tCO6zpnkcvGOWnc6NIs2EdBv9A/uy4uXy1PXZ7kD/hzmCXwjHrQea4GnVyBDge0i+fg0L98v79BA9guxIv+IG3MZ/mM0xvEc5k5EJKmPys4i0U96QS03JWjP4M932BP4pp3Wa/7fXizC1soVqYZelVWVtqxx2UF2LZR8Rqw2X7hF8H77n24suppXv3Ll5ycVhg3L+elcdY+G9DHrHvT1ukMOubRJGoi1tplYpbAqQ35WFvwOxegZ7tDMMDn1hvgEYJhXt1EvO39ze/dF84KA5IG8Qi4puUe4rXP5Xqup3aF9ROgJ+/EuXSSdZs6/OcxCDsB4r++Z6XuM8vGe5cNnToqQ8Erex4L9KGaogL2mE+lec2gcYrju6vRe3c62RXmesuNC9/1g1vhKjcGeDB3m7F7AFfbCEF/9KSGDFmJmC8QJ4Djd6QYvZBZ9LiPbVNMmDe3AfPWG8wLscn8rqFw8M70/lGVaZm7J8AYWrU2erOtcT79h5Kkl3K9amP1RYX4yhjlZKQF5sNlwG85J1Qe16t6AOzsgR/C52wHGmn0OobgX1jkdb461G2ZZb6ps8b6nT7jf68Ce53DCChvaIFAdbkDOIie3YtPIUalqNGAG3jcMZTEc8r4cIa4IoHHfBYBgD9frbIge0BsxpltyW/sfebOonTPzZUFkYF9/Q3rdQaNk9WMflC3tXfW/drCw4e19fYQCysezXWkV3Xc4fNM1XjJWqv19EAgZnXfe/nXhVj/xYbcrabfPGwMe2IS2CtiR+d9qfJ2UCPWi+HcogNgImhUFz4f6iuIU3jfK9ThePnn0x6uAAuyu3CjqHEHi43As0vArbDbN471qOCZiSV9cVHMn5gWNK9afPTVOyrgF/vyr0ONcZ/zfUOVFSZKKcf8nlfA63D+zq6wB+cwQASITKD5yqG2khnojgxip2QacXlDg80Knver9lsdAuI9vejgO6n43dHPWZv3qZZrB/bIreh9iOkiA7y94bwp5txPKl5dadhdmCSJsjYWD/7cn3Uxi59qe1bVNNcStKjEmZDu/+a1aZvWLOpuoJPLxlFnIT3QJrmnJ7K00wwc4b5D/dsyP4M9fjnEEeyhuctd4R+G9VcRU9YEGmI9diWCghmiFGJTqbBfC1BA2erV5/smpu5eOPeKjsCVZbqvg+wm4pPHcdZWpCDmP71OA5Z0tOjFD2h7S7jGk8AXD9K6kdDmzJBzLi874FsJ8Moa9sxU9+rRTugHQF51egto5Cv83Q6eW0nDZ83S3DjdAHo45KMQsE7kOVcVfesSss8H22WgxCT2lMYC59A9YP1+mAPowUUNsRz7JUDB6rDG+aI8fenKSsUixTmoyln/6BDwucc+//RS4+jP0PNAiw9NH1F4j6527pQKMjUlvZNR7Ljs/vX6OvOeAr+AWLkw0DNwDjJ4z9Nh3Czc+a0H2BU8c2rsRw69q4xSzCMdW+NndSmGPa5in/a5nQYVTy+g3bBO6FK7+kcwQepEHGUM+jf2OolVsY73yS0StNLG3kDQb61Fwu5VU2FkEuLMPcCZlB4At2qpC+5EiRgvb9mgv4ELgbZYPQCzu8ISu32E80/NW4799/YJ4nO3yZKZEXjfJkw/5WjPoDFtwAbQU9F8mOb8dVfJFhqj6TlgVgDPY8bzJUYh4TPfIGalXKQETr8F2myF/ZXUCODDJKI4f9bRHZ8iwWIbdIyeIAZYNCJwlk/XPc9v1bPm9Pd+Pq+G011b6SWf9FJAVKfjYLXFZYGYT9FzBueyPudA4zy0wFyB3xdNjHnSS0Diy5mB9CaTCiHe+jhfEO+XINpyZptYJ/SpFV9nuSgNzmM5ih6Ug0xlxfM7ldRhAzy7kT5nAmWmAz6c/ufxPZwB34JGppgjCnGGqzTqAoe04Dx06GMNJ8vEpBQ11uwBwr/2RgH4e4dnO+jAZNyNAGvFiv3jOiFo1nBrvV+3S36jZuO1x/dzJu+3nV2tnnURA0SC8LQSidnl7rDS4T0G3Flhfh10LGGjvRxG77ePHvBmVVneMR88D+8q80ncGz5c5QAclBE4SSJgEih05CM+AC5Hjnh83+A7H0VIA9zH7ZSiB2zSDGtQWJepssyuGtOiDtI3HZ1ecT4ErlpsbZIXgf8FPPLORoOc+UNH7Z0LVYCWA52pY8rt4DCJE+b9gZetQIvuOcQ2nB2kRv2sB6PPzwJx0fh2A8wWPo+sYB3+e6+sXQxHfw2xgOazcV46zpXzpALe2bqGQzx4azhd7RYNHH1d0MB85eMFNG11g++paHipG8v8yCmKa9escGYr+oQL9PYTw73o9esOFvvYbpVJH+pxeeMJ6i3SQUwdDz2tm/gO5zJND0KovPTjylY0Bz3AxzXmM0luVxZoZZbJzVlNp7NKKg/rBehgB9mwxv1NWbx+3ZnP6OMEsRS0IwHoiTDlIpjlZVqu33aWF6oY/gL4UQZaR6Ch0dLBeYyuIrRJM162zAEOJchH5uqdCiI4YyIp5HrXSPTgCd1MZK/ntamcdce5LepkuLUL/c7M/MDZORRntErz2bjmrMrqDM9UcGd2G1czeK9bPdAMsDlBjtcO0QeZxEI+Ls/42Di3c21jDXS0P5ju944I8yHwe33ApRy0dlEbP6m5J1vZdXKYvyrgd8Ap3UZm8MyG+z8fM99VbrRrF/WQffis/YL3Oj3P16KzVt7rQ+jZzcQdpPevnG8tgH+LbmHcfLUAFhV/t5ohKiCCnqlD3Gy4rJ7Pun/OV97B+gRZ6X+hlWQ+vp8VrGmdELmzBCe9Tp/v62b3CjTd1onetg559XKusH9HxtQAmj/I0HqHQO8hJgIGRRsRVVce6E/Mq8Lr4FzDZ10A1z4ul9bykrrv+t3SfVLZbfiYPWort5gFkUlEH6AXGWNkA8/l1YNw064f06l1SEAAa/7abelbAvhLPRn7kHQxGeiNT6B/0NcMIls1dEM10U/Gv4F7I9/m3l7AZ5Pehrn+tX6sv7aWulXOs+f/Blwi/uWiwpfFYOdZ9N+9fEIBm6idjZGBuL6CZ+UBMn0KV9tkIIzboaesdwvwFXtKLowJ9CPfPL2o+cmhjsKZ0R+i39xxzmMBvP2/9/ph/R9v59x/ZGy+VOwdQefCOftzZ4tegRZD3hzwMgq2VjcVPFztnEsvYvoJe2NuhahV/O0VyWkR/XAmj/WEHoQVNzhX2gddbETw2xsYVsyUxUK+tOEuaI5JRWJgQhyBO0T7IPWfPVcuaIkFGGBCVDt035mVLjh/T2GvXKTvBc59591HG5nrzqKnrbUCHpgGCvnpYP3WVXJOgFjor2pQ90Kky9aaVzQg8OxTVnAbeJtWOGsDuGGEtQjY2w+/c4DXnBmLvmo4X3gWgXfvYJ+vDiw9UldJZqt9G3b/z6f922Pome3c35jVRcUwAJdRb1s7fQNufBJR6KLPxGEgD7FUwEeAS4dEFKNikr87FPu/Rsw5K8DF3KlLrLu/BDjPmVrrrxp0vGbqFQ8vwNFXTamXbIl2RPi3jNugR3HOEsSlQRmBOVrTus8cCChKOXafbaC+2j5KaJR+ZNzD2Qkh+mbXH+8e8IZI9LAnArVRx7VBPfvSywJiBeAszuEwEN+xF19iLmqfnCycE0Pj7jnbow3V0E60YgnEdsdetcKHGIJ52gg9Nq61mLf10JVszO7Ksc6wdybleJec6xff2ADH9zMGiAKxhQbhoqx12oASbIQAbYa1scQBjWIdxBw3HP2Hvx/ZNDxAx1GMl7WVXTXLVvA8q/zpHUf82kYPfx03Pc4S+/UWe94/5BZE8uGSQYxhPKbfh7ibK8erM/hOh+G+8MRAvE6/89G+cy4miLdfhcF7/67mU1dx51KoYaZtxB8ZcBBtdZRAHAS86XCexn/vJUHC4dlN2lJ/NfzvA85sUpXDPbOjgdkQu5YIc+pWtjxn2JSNKzwGSCPgWWLNiQbMo6HtgU4+60j5UnY+xVm/6J9qAXeV5OVFcBaWXhWSdKgtYQ/+CEP2goN0HLDeBrh2mTss8islva3GGcK2/udtj+cLuIyU2m8dwOP4fhHj++MA/AJhlC5/Vtk0xy289r/3orAW37zEukiTFDZJdk63qadIthFonNHe7/kF+9puzSISPom0Hd+vcGbOYhmAAxgsjFq0m35R12yw7yET3KpFGupi7VX/vH1+Z9DQHvOVCmIq3cM+c+r+D8R2OsBzumcOQZ7lt67OQC+FqN0qd/6p3O7UDsipoyLDeRNCMcAH2NDhVbH2DPFb8sGEmpGPtlcvblO0pnuALvlpRmVr4CVwbmpqaTez2+ccnmxA/+v7Dx+8Z30q7O8LtegPG0W5D+jPQa6PsK9n9s8rKRE4bxC4GWC7Um6Xa/k7n0jlo0qpDdyFAV5xzxegzRrQEs2y8TKsBkU/iYGyfRIFEmcoDFhDOj+Y9b40wJa0JUBwUqJje9agYbLe74B3AGFIJWcRzj575eipmlQqbL0SU3jPcb5igb5B1Q17yLk7hzg/IGPqTCyAXO5tgVUcuZxL+B5TzonLxvcbc4kg8nYD3bVI3iWH53f8d+8NPOG1530lTo96jLr2371o1QI2NEZ0DfDFDO+lQt2LgG4yKaZM/vNlp+h1YIGuDdQONC3WUYSAn0s9zZsitg0g8Sd6IQNHs2W4uf9ybKEvlXjOh+qJtUYfuJ6MwKMdUxKmc9Cxi5giqw5BG01kD9wiyIWfA59fSCB+qJt6temOO+BjbZifSSRSnsBv4Zg/32CsemEl1t/CsyRvnG9utQXx1PI2NMIZhf4nwbnpD6zLn990nN4KoXMN+0sEPs8icYWfHbMS5y/oUBXfZ+IA+8FeBTf6wrsXUvqO5i/fObyfJxctxOYAukEGCrkLbUDL5ULsqyX6JI69Bez/eN7/P9Z2sQCXk8Dgxxln7ow7B/O47V0AM9E4zxPrraKTBeeINMnfK949/PdeOJtgD7iT5dJ+g7jhF5P4Ogzedi/gjDv6WEeiomV3BiyE2DUnsjSKDWQnRvMJPKPIrfW9HdeCCNXVcSoLln4WSXXdh9VCnNWKB+0rd2MgpkrQ/G8sIXEtCZVlF5KoO+3jdafk7LNADMBVunaYa5xBiDNYsw+IbRLnGj/vRWPgPyngxEWEKbC/7iYTH2elhgJ9zvirjwPnp+CsNX7ey8rjVufxUb+BVsO7SiuXIkf+34Q0pA5wdEa8vM+uLTeXQnRzG69u+0hdW0aOgDGgO8UN+w/bMtq2HJiLSZ865rUPgcOE8N0/c1mdOcQD0MObwtLAewnOLYOYOH9UFnl6FChuEg7iCvOWuZvj/RT8/nRm4X23j7Bf/bZiPWB2mXYF6v0EtLVj/j9+MXW8LMTVcl+8n2noPecbFi7+/mzJHpe8KU1dfKxXyjWY+7HpsLoyvJmcom8BnJqFqeKsAmyZGfaFiDG60TC7svFCMC/94myt0Xk2vK9yiBd7Zuqd9fdBbGW1bn5vbVFIrrMD8+12Sd2DoVM9UmvPO94K5VDA/3bsauIAj2d/r7WTYb9eRIG/ZSO9knGNNYWvGhgHeBxhg61I8pxj2wvz1+Ic+HqpPcBrqwiiAnjEDyz1LZ9w9tawevqoAmdq+foTnpEPGGlwllxjRUcamWMz8IVEG+BJOANvfs3JKuqQfDWOftRDhP6aQTMKr2V/z3BWw609cxqSQSRR0jLQKcHmQZdqqfvKJlOKfOeUl/OPlukd43nN6LZ2aATr0/Egd1mk3WZ6+XB+L9hPBc/YVba5FfF9izliwM4p7zfwfjpvBtrn1n9c346Yjk9nIu/ZIWnve5ZifhfOM8d+y107DTcV0wU0u08Exfn0Srvz607vrV0E+1+/3sUQ4N/Ac7FOeAQOcNrBnhd87Wc28OHi/apHDfssuuW2rmWfr+C7H9GjUSX+VyNVxIaOC5uOsEa+GMmoptc+/HZlZDLQZQviTO5Gn+zj2zqEpK6t2W2tqKDATJogqp7zAsa5yg0/K8tMyj1d2WLuwINjHcEeD3EesPDh/QbAno2agLsG/gl45OvepqLuX6+Vt0WjR7ur4p0TYv26/fTZFHOZl5WVc1WATvFpaB6MgyLkJKbOhUGs94h1j9SQO0US2Sy2bOWkGZwRKfjfRQ3kvgfO9KpZouG9h99VQ4RUIow23Eaf4vac43wnp132zM/rEeea+I8ap0rC38t4jXOsCOzV/7xkU4jVJq7dNIM4Z/jHu0ui6oFz3nEG13/vJXbufAJWcaZJvtJTR7JYf+XjPeCBqRrL6w6MXGSfGpzTibkzFtCliQTwJprWwEFr1/yIcv5CD0E2iV5G/rEALVCNa0od4NJl/uLzq+0CvJrfvKzPr3TCmSzqwkET0Ni4+1jlsF52hb/LCOy5cIAXD5izE2N6aQOIuAJiRdQxNegis/R3G5g74cTZl8DNTWSK//Xrga6Phq0LWGd3G7LQ550h4JvHzHxtg2rJQvQG6TLA53teki3mfsj/MXV1zY3qyvYv8WFS48chRtjYyEEgCfQGiAoBQYhDbMyvv92e7Zz7MLXr1JyxDWp1ryV1r0V8q8HzDwu1dNiSyOhVB70rAXfheT1g5YPE2Wn+bmdr8etrRgnlOBtdWCRULjuc1qgtDay2YMfKSe6yoz8i2NqUz7CO3GuEmQrLAr7IGNTZT7VPXO7YacZbN7FNkEl1boxWbOczqA77eJj/nycy/Fv0mBtaK3b6e2wHThMmeGaI+sAF7fjajFOPjgVV+H5DP0Go+yvgnIDZJj7v1Fjt4w3wbFOO0ZmJCXs6bawfCeSdrJ+e90Qv2Y5+l6u6ih496xLveN8O1VrYtWEnRdjAw8IrPrY+D95RR+5HBR6sd5tWa4ReBg9PXWFPKhumVkgzVq6K43Q70cDOFJ6DSf31izdM4ABXdgF/oifPG2rMJKOfpH2Ete5xB5gNUXQmf68N5OEUp8L6CLgX1EPAxzxol8xR2LO0Q51hGZIYENkPI9Muhvwrcva8TzlL+cepoIbCu3mD595wifOUnnpgW+R3Lg0BQ++oaE/FQDZxiJonalaWiBmeJ8PnA3+KmsDGHuqUh7BHcj+oRuzrJ5d0sJ97OVL2X+zp2dQ9iZnQqQiXUIgIeIDBO8U71OSy4Zvb0wcgGbSjhM/Rc0oJwIUWC+pdv6Z82teWuKOmUCz0lXX6JQ6xt+t39rbULuAFocoEcBHsE8A2GjhQbcFnxhT9RHdtII3aJZ3ZUNhv8SoInl9JwULgJRbfRSeZGadySFYZ+nK05h+x4xucx2ShuPPh+znHwaGc3bMwsc+71ottfQaOmUPOCjRpv2tbLbUb9ZBb0AnDqS32otDTRExlQ9r+n9/l343ofFraStE1Qq11B0LmBTWR6wzvGMnvGSxgohW1PZiZ7lCj+3ig+5T89ZLHPXCPmgOfsSQRYJQJcXMm51Cad6cQ1IU8eM0gJx5tnWXr+xXv+PG8V/Ll+xyyN+BFgH/9Xy+J1Ik48GjgteZMe+A2Fupi3Vz2765npDa/p4NKMxMdGXqYrOxWjJpx4MHKsVfI+k7RafRtJxUXVjECDhoefPIzFZEF+fOJe0P9OqPPMPYrfgLW/qgGNlCpXyCab7VlTw2fIa8QiIWWpXb0BegTMbcNteWUWN94LxrC8x6rnG7Qhxbw6Kx21IP9sSad/qLjr5bpqTHRGbDYC9+1H8BPrrXzaQEOmJRcbgx7UMLeht+wzyTtS5wXJgZ9bRPAuzdN3i+pI4qTY3Nl3hchNUmt6A65K4C1yusx8lGL/Xk+nwwkrhx6o3shoR6/CmdzP0MdY1y/8U58AqdK1L6+QX5lwGc3J5e5sbQW2B8CKnKkwxZykjeeBdQrJ/rRI76/wqoz4I8isptweZ7pSWH0J3CFqEy3Gd5RKGsaS6d1AB8Vydh2HDEZX2ZgjuyhbborNqlLNln/z3uRDmZJ3XjV9jRC/iZqF2Ff5Wv1Cvg90C9F9tt/2GsnuOjcdLFlrlAPvxnOINp+X4fRDDnWb/aTU/3nMVOK4K6QM358b855BByK8dOqFdQYUYo20+7fGzwPUR1lvGtNZdgRsPfzHYqY+J0y/qFwDnbcm0FLWFOcQXBhHffRBvb4RqCfHz9YtWMuca84t6cZaHrPVvIhRshT5K91sv+uZdb+6L4tGU9uGmBLKtCX71cP9szD4FZ8zAr9XOBzI8DgHfuYizpkNuxowChRBrzzovrHzBD22uI9K2qwH/AesXr0NvaWxCbdj3mQOb8XMjpIiItzpg7CZc8zotei/7Oo0IJ/S3zIqxTvOZBbwBrPLDtsUMe97iG/PbVK5XZgRkeF61tZ7qeJOCwypOfKYioNTZhZimEPTwxMN0m3bjP8+gUMCbdTbbcnmreQU4zRhk2ViPZsxPN24eL5PKxlgP4wCc5q4n0vYALsPdAu+hepT/2x/YD1c7OcBLVd3IC/f5eORl0P4Jy/fQ6+zNhXkbF/unEksBNjNk1oHxLgCOf888rD5Uut9BJbixQCvRHpqck0kCAyMpI4qEeGWABqFupOezGB97PqtnLJCO8DvVyffXoyztWr7r2RwXoUcvlUAzVNOueNqK9c8Gvq8hU+X1E5eacV3tvYmn/etMsr7J8lcf9ucFbg5BRXIb0Bfjv75zdKrpVtoiYsfn1Ui4enNuaZ6E0NG7sZajdb/Tf0Pjo5woHUwfWeTdgbpjLzVQNrgZr/AXvnytYA/p7JmDNZCn9PA2/K8mTFMz/gIpb+b87jt0+vn29JztoqQP0MEuq9Ql2Gm7BFFLv6qB3zWUq9EztKU2c6oBcz8MkV8MmtXslaOnQG7oHne1QO+q3eRZ9ZIFCZKWYDufOMPfscPMD5BLj+KHMRa9ssepjnbE+OcWh+ZK5IYpQoragXO3Go+JYkvL9XeX2rIEexYPvoxX/gbGm/SaHXYmT72mVtyReis9aOO/XUqdhAzZeVpa/CsI/YKjzMoZC3dzKfbDX6IQ3tCL5/Vwpz52QKMssL2bBdWUens2A0Dg7XrNOtzKITkwtjRn3WA32rjDLJfSbp3n+eb9hA64nmbEUvpwL1FMNkA3T7pR4S4Lszl9ycgJ/sGfHxDp48fMfQc9xtX0vOvPNexZAfAn3fOnFWLynR57PQZdOxN016Ow3nJ9cD3mc8eL8UajV6jX1xwBCQ8wfIQynkEtTs98s+2icd9sI+fAFVmseXZtjyIt3C+xREhdgbVF/LvZ6hZgCW1bui967IEVP718fHikcSp9JzCtcYmrVRLfuNtrYldiwDfmlZSAuxp0m9E3NpH25FOscMdQRM9JPyiGWw5wvLbssuOsM64dzf2GQMNVFiyKofwOufeCOKrdsaW38u6j/dWh7avSDxHfCfxDJXuNQTwQyRHkGMHTz4tKUQLYccM4js0dfVCdj7saUuBfaN7Nidj2QjCX2BFDn+r6diBr70eS/DelOP7UCdaTlZ21uKvFaSjjuRS9EH7vWPdZYmpZAXkrzdlagBD/sI4lCJnRrYXjsacncq1bfu1AXvJWn/mO+z4Xc8z2BT9IHMcKYpY0m2N+RfnyV5FYNKYH2JJC2XeSQoejA4Oj8B14T12DTmAP8L8rSrX89y+5X27RFYJwUuBShHXbEnLMkBW1n2r48P3r0A5t2ntk+Kld+xz1XvfeAh9peU+ufh92nMF/B61HWL4f9/r+V8hIjwlINzvSyCV/naBFGX9N6ncoiPeDztVBCbZMU1fvaKYA//OfQ2lUVOwGn2lS3O6GkJGPQG1eDCJPkR1gTcE7A37B0hRAqczY3d6D+tMNUDhjjXsnUKR1zO4UzOr9tLsZIeuCNqJTxzL/qgfFA7UrHlvRTOdlLWpy0cwDukTWv7cMWrxCxkbQ2fWWdRijr5Fbeu1cecsMF2gONtoJaFUB/cymlz4QooGeynlstV4zkheWoRwF4ebhc2KopaK/o+A6+MnVpONx1+O5BfrXQ1qlrbGFBuUPEZtQcInj9qC7WHbezlswvr3T46E7y/6V5nykZNpGxklu4Z9mI9e2Bo4ZiXNBBlacHaE9HzjFzLgBXp6/c9cWz0v7nXXBSZ1QKO8f/1iiBH7chXJbexsLTFzb97db1GBXqhZf3WpHsCezX6kIL8+qiib0zW8zuw6r2WlJ930Rfr3q9Hd2KF7cdHWzHARlLl0SYFbFXnzON9y06WuQOuxb7yx5l7ttdxY/qVd7UNmISJXqNXtYoJe/ZwntNh+k6cJS+sJSgDlf7TgRYOVKscMG0q3BqwCtBw9ES23u8qnEues5fMiA3g9Tix+7sOidEZ8cp+IdWwpJWlhM7Q2/Sw0P/NVihqq7ay9aV43BHWF9SkO2e+xTpgu5YYlbUM1TDNlTXfnmfL8M4Oidzcs0AfVaCSik8is0XGQ4J9E2Ud2kbgOV0XLUfLeq4Xcmtfdn/dGNaaZdiXTKZmr1jhLOO/fU7GNGdH4JDf1CUD4FS/GeJb1kVOkeu2DGfg10wVnEbog0aJOZRyIoDU9vx1nuQw/fo7aOADCZ8YTf+4JZ8meJ4lRu1peFaeT3sOdfhxxpCrpFiThdsaMEi0q6U61aHp9CqsuPOPLASmnvsMcG1U2wCA7HYETHmrXPXEUY6yWh840/rAf8O2qAjENPrby2USFmKkaIyJ3vG1dulgBwpnG1fYJU4boa80cC5Gg5kC5v1+9hpnOwNcigD3rC8cuPhvnu9n9KJcqVtvZKBe1XBYgdddErybzH0f+8JloKN4sBzmUJ5ZBzslQjLxd5OSNpQDzlj9cfgqXkpbT9oWbd21tBw294fuefd7h5imGeQbB2DYrn3hULvqwRsy67ZAPfRSqT/LPrjREL2L0Fu+8BI5b/gwfVbGpInk13h3uHDZFjQorkfHS4BLFLF7sM/p93oOpkgGyTM2Er0eLKiVbiL6TZNuz1Qu9OSKN8iTATzPlLnqjvfO2C/B8umT9vaiHIjfnYDvBT7kbE/MLRbea+BI5lZ+bI3OA9jf/QY7JzLgA893iN4qjdRfyvlzE9aiSsCt3IoMc/9eK0C6mBNwRlwYQM/pLE92YOFMtuje3dJAXiPmVQmoPaiTZWuvEbptDPlIbdj/geiT+/dT9+DRd1wHtjzLiLNg6qvXLdRBnEO1WZGTR98iahalAYsAUS8stMP/tPqOKtQFdwETrYyqj62TDh5g+MiF/TGnpkDfAyZW/nyHRdxvKQ2sW8k1+qdf4nBuaUja2hbo73BvgtbPxnoR1gawpw+4ajsBJw4yruJKMCWhfmm57AubuTKIDHK7TGAPuV2ebF+J9Ps5D+vRPLryVSnAbV/6Yy6pZZfp6NPU+D9Ql8eHfo6cIBcyO3WUB5zVB0y1q0VrNAdeKHD+8XEXHyTjwS0+vt3Y6Jcj3s+7h4W7f5/4cE0+tu7RYULKbQY1/pT10w4lkwH3BilydPRGCkwbE+NVvd4xg3NbW6aAp6ckynAOJAWeICyo8Ral4t/5oQV8jBSW93NcyTP3vgrIO9qx7IpokQJuUj1V1V639cf8w0TrxETsk55JbWtVAqaiVtRl+ygEfotngFFqfbpCEMDV/Q0+22eZAG4Q/XD+fpM9hX3Inu9wOdksy4LbDfAtYFLyw+3HjBmPw+0S5/B5O8CNITWn+/ZTyBZqx7t93uuPZujv5337IsNirUIdqxVygHV7nB/iOVsM2KLe11f5Mf/qpZRulJ0c9oM6rDH6cbttfAJ8waEecWwkc+F35rpE/0iaRTlfW0BrPvDJwsmGiWTA1Us+LzITr2l4cLkkS5k/eOXU9LdNturnGdEbHfTS5NGRyZnH9+9L7LbneGUuN2TE2WFYw0F0jKlhm5wDAvWL3UWvilhuzwp4ELfmPeD6Fx4mLmplFIP+Sri+KnO4AfctUZvy9wy2J6mGiCpM9M06Mccj4pflAHnOTxwa4/xlwr1AcBIkyKoC246H9gvqWphIVdQ79lI7ZmRd4NVWf88I9fUucPRIZTwqqAm/sxVHXNvaTe4FzgDu/bnsNBQ981m5YgMcB3tefJ7R09GJUNkbeArso19PZGGVqx9A7ALvUgfgzLDPofDDtsj6zUbZ7yvk9mfuXWuCfZnTou7wPh2qCuOXeP5X2MBXJbuWuf4RgYr46sPKTOjd3GaQXzLyqOMO4PbTOTcO6yeawbrWgPHK3HeA/1+bLrGw//FZKxW/bSjEEboaAtaFuvLnCjnmVu/ZEof60pjJql1xxZkI1L2EmEzSPf4gKIh8fsmChVej+op7qErh9IXn/9ibmzw0wYnBNfrvu8bCCGCqxR37QGoLtX49IQYyVfwffy5XyjnXb0z4eZqR9My3b2xvPN1xi9rv9/+8Pr4Uie7cRDTtyFsq6FHmB0/lmtRBbT97vx9e845+rXqFfuQ37vy5F3m7p5Cd5V5cpLTWQpDyTADb94GdPvq+zGdteQv2lFVycbIQ9c6JV0FcpBYZ4DfFEufcM8XKPRW/+2sUgDk2N8i7yKnTRESo2d6iJmoaCp4ADUUNrixQE9SSAt51gsoACrWR+Wajw/ne9OYWhxunAMxQGuUCLswBQ3nxLpr16j8xG9Rsjb33s8gTyOncS4yYOEcvh+gKtQ+4MoUcoYCHeBzn1BJTbCB/j9z8vTaj9hFDaL6gz80ReL9b59OoTHQ951FbA4SBGH1yhzUG3pUI8lr3C6fZ+wU1HDMC9a6npujVhLovTCr/CDiR9i1hkF+VzcJKkqCR8zfdP2Yk/s3G7MRPybcE9l4JNVTptb8wop7vMORyOzYdPZd4r8qpn4zRSG0/BGz5I5yIV+67VwxirocW6pL/clohD3WA6/NPR3BvUg7qq7fu0YK9PxoS88cd3KWwhJ8GM4fM+8xRX7BnY+D2KZXAMYDTy2FrybDfZPbfVY0C6hvwRNegHsqadP4b7N0z5JFV78Ux7sWUrSKEGtbp0NxTC+orRGeRmTSWXlF0poc98oz5Q0PIJslji3LA+pZ+KztyTwYCDIBND/8PfnOONvDylUAc0CLOTCAMcB3CvtNAHdJ+awMeGtFDGXKjVe39z9iO76njHY+OUs1I+l8cNdAP1IRW/ZYzwGeNwRlTO4gBAycW1DUH8AjOc2etoQ57wxp/DtU9GwK3HP1X4IeQS1u/fJ1v6cgWalE8E4T1bi8SgEAa2s+zlEc8aJvN6eucN3y7kfDsNFQWbGXnZNluuW83pTsd8K6TyY0FNdARDi2Bj89Qm3rIn2sBcag7yNE2gIw+wLltPEf1ASvanPz2Ol7E6n9IGSxs8Gw11qvm2xW406bO27n5D98DgxIlV3gehT1DPutVyfttlBl2zhxA+cK86v0EuQsSlqsuSvRuLMU1Fqhv/vnUxbpWY7E+fJByNkCKnuPe9lA3hvWEJl30UXLgsl0EeZUCRmeUi+mx1xMBOZ5vbjxAHYco1ysZaeAd65ycmj6C9+eNyWOuo33Gxq4ZItR+aoue5TQXHw9OhPP9fOPpsb3LQSdlLjBvOw3Rp1i2UH/e7SbUBnUYazxz7yP0nbakUMAntwlzYY8b9lEB926G5VkruzTYeOq+HXQHnApygpLROet0gLc7kL8ykc5WIVvJHAKYtvVoD7We26jPG8aSRcVqXhj28o3The7aueK3a91P17hfZIn+N/J/nq3aIonIfVUF6lpbamSG3s9kQt/xz6K/2cVKPrOdiutwe0eel5nDwkh/452+Qm2YFMRI+rgf8grAYVIO7Tdqe1e5QM+dCXvvnmcOhdQL8Ny8RG9FawLWwsp4bBPIkS6HOsSDaFOl8yEb7P/OP/oVcFD/6P2yIqeB9S4gn5Sm/TlL9nqWekW/P+AVB+BhPzR8f87QzcpCbuMRATkK3tWH2sc3Phj0vo6OrlAxavHaFH1WEAN/Jb36lqP6hNz00FJlXQHYW30DRpWKmDt8n9uMNCxkbx3dw4Zn0fO8N61tjXeZl8fMqaN/IEJedE5M03HgfxH6Dr/IUePdtYvvlPdTCPz7qvraOVrGHC39GVvRpXZuN717v/JQb9DL+xyKEXivgRr+1Eu5nWViAb6wj67uJSkW2fl7hXjZFh3dizVx2uS4qpRbaoC6jn0Ot6KfCXCKUAcAYgacP59wpgdnYjvO2580EFGazuc4LK7K7n/3l8a+lgwwZ2/KtEefTdSatE+lmVDjdqE5gPbAtrhNZzpObgG5Lu49jt7c+tFHzhLIqQHwRSo639a7FjVEj7UTrEeHFHyon+vlZ6vJ2T7x0Jvn392znTe5KVSuhho9qCWkjVAdqa0uMSfftdAf2omXStaXOEMdAb9PH32AiVNZcw+Y2E8F4cCoFfANiKHfWTOop4LD77Y5ziObdwv4oMK7GZH5O0r+6ftnO3aps3Zfj4Kk+3YRnN6zQGBfZcxCjtrHfirnsOqjW/w6D+XeD5IU/ruKIg29573eh+zxTMg4gEXcxKUScoSQxvwA7j3KDv0E3z3qmEsW9lfRqS94XsA+gAWESAtjkqpHLRkWsn3rK5d+x3vWwbqvSa8jwHgvDTzEc39h74+2Wxab6KXKtMsI5GknStL7VijZ0kJMeYEzHJziHLjFuJrR/wm+81BxFmc5Y8JEosrjazWgLhbxy3765DhjJwnqYjz72fB+9ZGX4TmiYoQMjnV6ZAKw6I+yKQF+7Sg3ektys2n47PF8esuAg8d2fcF+FAlYgPablT7ufz8tDTiShhNwqLmLRbCojz9P/V5XjGylY3stiW/TIV60PYWxywr4vjzub49eLSE+3Qp7E17nscwPNzHAO5RbU+EMGI8gFkTLM/FSjSZJuhb1pRLu6m/0q0TM9987hN8NcdAvRSLZprAnVuHMY05fgUOJcvhctdy6qu/h+e03nvuoXVQCvvIFj0wxTq+FHX03H3/WeDCmDL2XyiF+vSc3npEX4Vi3Rv72z69N6K21Ybl4nTvITfY5I6MW6iWx9DFzRCdI2zEujhy4J2DRvIY1pQN7q4wZskfO0vdYkHvzMadNX3jJOHHUt6Xwe7J9cWuEed4TvaJmbrpHzy/28uBXfQs1pd8o93PNHnFZbM4QpCc74syeDhq4ITwjzfDM5qEJqgLspz5nbOWBwDmq6LyLMLkFgLtfoV48ecqGm4d+8r3am1vTB/ck7+8Vx95Lesc+8yawUdcgBgxsqGFDIqidruysR3Wp0d83I/N/9c/JRjaXY7wWlun5SoB0Hm7l3iy/GDuDz18Pt7OI3EQEt6LDe6fFr8P5DLwFuEDg1ObvJdtpAvvN487tIgZ4XmFuwPkP1X+6SpU9DXXGvvTQHuI1ygA/oz72Sw1c6nlvjppnVX5YMhN56P/FbfQN829sVPvU0Ahywatytp9Hm1gNaoiZ6aETr53N5ohxYfxLJchL7JC27skSyxn9cGPMBQ8981w/+9nuzLDPwkkuMlOAj0SQDeQDa57M/Py8r+/MreGdWjcZAm7l2kUPS8BhnxK9F3qKe9znA9Q2KSK2M37GI09Lmj7OpwTk/I4877IPUJ/aVLYjcM+2yVDbi0KlIxPkpb6GGpusOlABuzE8gx/+OMqJxhqYN2B6BfG6F6hfz9nAyBSkfQR76xGXN2bXd+5s7vUaPdeLAYZ5zf75mql0z/rKZUk1frrJx7yB/GTOeftdcnaG/AfLYuIM+BtA7/nBrxwgSqhXYcgReFtw5t6V99FXCXuF4vmwi3f4z1mzb+BnE7zXbaADctfhkgs+EYj8hOXqFT6HyIBN//WmfsSc3+Mw2pRjbzFivnWP8yoQd13vAA8ieseceG2Heh9N6AleD/M+sexnD2fcpFueWti/Rz3l9BeIgxQw3poZtdY2rCHgc2HZQRZEZx7Qa9YBd8gjk66xG1vfFvazFQMDXGrfqp7klcMdeBKqHPFTZ4LSoX/mwzu12ch3Ys065mYrAD30yx7sz3Jop6z/c1WdWk82O9fD9JoG2zc+TEFNCg8w61sCGBTvbs6B98B4sleAhlEHQRw41H+6B2wC3OaJezML8rMN2HnQRTZi0iQjc32iIG8CI5wh5+A8mAe5D9ZJycLS5ujY/zxb0y3wjclnuX4RgnEGeacM1E5bj74Jyjv1kubR75kexCxgf9pK4NyAHcP6sQaBXQP3rjt/J4LCYsb/KQHXVoJhd3uZ9AtwZMglg7hTq77owUZNINRiPHJnO6qw7RLA9YAJ/HL3qy2WAR4LUy5elVyOZWAflUV97BXmXEdnYkK5f0c/H+QHO8iJ53igb9RR17Nc1tqJHp418X37UvEN8CGv1EFkp8G0Ji4JYlfDqvNf70UN8VrL7U3uD8DTood+F++TK+xT7Ge6/zubJPuabwNgTIwSgZzuAs91SFAfDP0InXkoeg81RYFR/IXvUrNwtlC0W8CSv7qOH5RPH4D31tQGLB6+u4DZnjoHKevpmAJ9E26xYeKvrQa2FEYMqLcH65rIHRMn4HQUcAzeKcauGujr/NBZQi1GSaY3FZJnHC6QaweetUw5sVcRyBsjao15rIQYLKSaUJMd8OIO9u6Ufvyx2Srihz+HmVrNMWvqE+Rqr5AibIAHV/3mknHyAXjRpLJY64E+z+c3tXVwy87Imkcdt0guLDFAPlxE0O4V8PHYHO4JMG/gKzbw8486Sy6Azz6Eqz5Tgl5wtt+EjzlSn49tljkAh+zoVhpzT0V8i4fnmd43YBT1Urj6jfElrR73xTiX/9ByvlRDcRF8u9cff9wqeL+ysHW18+Co1um+xfOwFjD121k++uBpLOqNDLe2/nd2cNV2dI+z4nlmzrQwHu8LvGPsgWtMkEfvkJquCc7okM87H6x7ZZtdLKZPhXFCVH6yth+JZUYu/AiQUZ4FBvgU/aSycJizhLAXShH2TpHzG9DYp3bfY99DDlQVoBzAkFD7ma1D8VY4LfBD4kIdIVk/LVX/bkE8b9KPeZd04ovvUEMWe/r7y9ECXpzrQQJHxfXXbjuxcLuWvM2AQz51llKFHjq9SdP9541LsYpwzmUX9Y/zP7m1SqLnZCiu6T8tYciRJqB7diyFwnd0boZ41XxygQsc1WAf0xz2OvDW1G5PqFGb8j/LMx8Ktx2Bn0RNKCTwWZwFIWyFWm/Ya9Gj/u6E9+ofcgck1TKeJsHKZHGLieoSYSbam2sZot+U7tIuWI7WHLLMMOBLh4LHjiS/s2YXZQiLO9PhzClwvaA0j568Ix1oC7l/ODlsD1yk1UOxKUyxcNOeapdyyLV97KhIfsxd5dAXwDIe+j/Sjk7xqHNmoZ835AfIyU98WLn6qwoAm7jBjVuBLVyCGotR2omNftwJqrwELHNc/TYzLRPOctcBvz28Mz++r8rAc6NzJdQk1H6VvV7EEG1kvz2Ug4pS8YvnF9qZ4aGLuW9f8b5T7/yXOARMZoSVQp6BmIqEUAXUWsgiwOvCKDnZymL5p9XkkcvhfaG35skRgF3MB/CrVa9R24y61xn9OPP6eb4RF4A8muGwqLFear5cy9ykNJ9+UpeOsNfO2BckAnKsxGFp5CxjS6mmj7oafVpHBrj4c0GMXZjDDWr3Cx30WVneWLixV1p2VAfTsy4vtaE7yOtxs3/eGRYLW1mX7fw35I0NYCLZEch15JxgXg4B2wu9Ebb5Qp3HuCMfj34Mi52F/bjzHWoC+1FGX4CTXKhfu2ccAj4EnDVFSrSLxrnqUKNnDVd59K3C7ZDZJCh61LMyPzVwyooANxr1+Qh5o0b9XAIYK2uXJm+D02pup7UVquuXTM4HSVqRur+aM1YJXBT4JJ5BFiKjvubBAtiiK1HLGf0wbbJX1p8lHvpLufqQLRFjQy1bIUZXvcO7Abr2bpkJW3JtZKe/NNSZM19M4tgzs+lzjmMvVnI8c1pke8Arwr83u2hXdGpfp/NbATv+aNEOPWplYFPZk5RZ7PvMrU3lbN36Y56B030XH39gPwDffv1etAO1tn9fAUdNqP8trOfs7bcF2LEr7n+8suNeY+ge9rlTDx6eazG5V4kY/15PgB4Fxng/X0ubzbA+PuDFEOLzJyNUcdIeU0ALdFR9laEfuymyYMtPK3v0ljzPiKB2pamj24e+zU78VAM9ZyJaY+CZqeHWmU8i3sHvFA9c+6MlQ9+RD2HN+4IrxnvbAC48xqjzawdWbB0uavi04kBf+LCVTfc7U4w0aYH3mqQBY4xoPxs8A7zY5fvAKkPg5w9M0L5C3rM4UW1N9FtN2AsHjIIeuTwXL7FFlyJHX+bIigEvyyBGL4EP4MpAqNXzbLmXvYjOQYv9pD32TqCe0KPHvRNGk/aCGqlQWXtOAEPn02vlRlA5pp9MCO+EWDeHz+Vbr9ofrkcnAS5bWPH+Hf1y+6SPN8DTnjoV12anZAP4EvKUKiS/Q67Yn1x6gdxoM4KeBD4wBQUck3zVkh5oB3ua2y91iGpH2xG9rujrHysNe6iT/aoBp6HXAA3+1cDkfx67pywrbCne7UYirmVROv51a9SgcdhHNkbHGnBcwuddzSEusuiUprMSg21DfToC5xTMCBmP5CMZrJvoolXZwjzwyMesNImu3P3tkQauTpTYk+Exd23w/E/dWPf3QnF+vBc0/dgm6A+UWUKkFhqRtJPICM+6ZKEZleh3nwWxpfvFZVK/SNToDxe3zMVYWIWVhdv/zZsD70sgd5SW+clWPR6tVmaOPmqJvsATxb71Ry9q98A2qnLa7uSYDvLIAlwOsMs2rE1wBayWsAF9+qYXtn/MtyQnyOmxc3jeZe9L4ftQi3Y8sJYmZAXE8Y05j96QpUlnwK3BEpv27eSoDH1iYE/7cU6dKoTakxW3M+lvYv++JBlkxI8/l2YQu/T1j3vevzvMKmx2//M8P/R0OrvA0ZJymL6FtG3lsJ/ETH0Vth9F7l+ELUo9Fmtsao935Ave4cB3UUQHrwWs6xzX+lZmlJQBcOU13mSdv6fy4ABXVuq+fYX9+zw/fHgGAb51oLbc/91NLzHbRzbnLANi8lk+/EX1Z2WLD/g9P0Xe3wUxWZwrXgUL1h0fvWxTExGIk8edbxNEX5AX1ka2SRW0Tw0TivrA8H487KMAzOwJm54aobPEnbJiZF7tGIhj7wfo9KvkJkwhZmqLQZZ492BtgC8//DDLGnK/kn/QP8CK5dJrvNvFM6X+N/d+JOvByhAbZr2DeumS9Gs5Egtq0Gsy6FRKtUl7bwUMMwHvyhNX53o1k8invBDJtXbiTRxgboHP4LcbcFz/uLKghiz7r7fEfvaleJjHNXBc0S8jeswAFxjgT0h3/QWnDXkoVGN0SV+3RmYkAp74VfLtWI3iVBLYR1Jc6djeq45fCmfrNQH8O1eVlC973asc8ttzL7t67a+Am4uYe1kh2E51+shftxdqLaEGfJ1a+uecRTiffYqhnqJ+S+ZEG8AprCZKKt4u2L/w0Irr1U/NAc86258Ce1VHwLXuE9vMK6y7r3Ll1qHYJZCrcA4ntadNMwDGsDT2mdB6z94YaZcMe63NYQFc9Q1Y4qofc4nqNbvPJzWaRXLUt6TflEcpPNNngTpvI33O+ExStqbOGeodR2mwuTU5EFS7bbOdKWruUchXaZJFX9SZXgEvZXSvbjRshebLRG1ildlfqCHelO7IkHL9wi0vgPcTMqHfNEfvrd++5bnZx1Zi4H0M8Y13fgDBMRfAXYSt8ZxtasIpoxb6kNktfC+R4TeeD3uPuYA94GPIhY0hJVvNke1N3PCHdiPg7bYt8YzY8p532UtD1FT29CsLxF3wNkhJ7wIH7SA3UOUSJ93FLhustRix9ztwmoF2Fd75ihYwNzkza5F4p1E4G+wZPTG5VfEQLFXghZQQB/XRn3ejp1VFsdALGx46nxfAeptEsC5+zBz89bJdYusdmXQYXQHT/mS5igFPp2JojR6jNs7bTgZQRywK+QlQd6gm5UYR7JeAGj/R9u93lelKwyPwN+DNN8BuD+3LVOjXo7NArfm7xhBpMZ+nOtPoc+VmYbyUY3RJhtiLAwV4cZsAH7MB87LHDKujwybjdwXYLck1Oe/b53kvjcd+FWuEmiibBnJOw/sr+vomvciTdPZgh75JyOHID1X40Ci5Ap62VNeaNPxcCuEfYryvGunUyOUj4eq/HunPu/6vp+l5Ps8I2VXWtAHsuIf4xr2LcwAt8mu60+cynF+bQJfaEYySyIV698Id8X10vr2aiH9zRrywuPX/+t8I5NgwAgzLAgr17tkPgHcziU0WtZo1gbp6DmpXvX5vIG1t+EiT2lHwlr1NZaMnLODRffuV9PUiIIbEQJgwavPoleujEerEXPDIAVzy8InXwg+a3e+9nspQHhc2RTPgnXpiqcBCresB4m6jhj+X2NoGVEK1QL/fUUMc6Nc6tOfH3ZxbO+jJA3vtJeETYGzMa3qBGmjzPbvEOfZ62M+Yd/lggsqx/WZsL7pvUX8hgMyS6PvsiDH6SYHP/tOkgVzLk7vc9xf0/DwHyT12omuV+S1qrcP6Cjw75bK1ktwAZhNeOiBX/b27ocD1foDvjpXLxnhUgOfsSIbmVg+axMPnhvXTlI2+Xe6jGfDZAphzBTy545YuG/idzBI04xQwtXGqfeSkofeSjIkN+Rd7mAIdquLJ9WJnWtnIro3gsDKsYCOeV3pU55MpctEecS4R83uKz2ni2tpeinRbNBmd+I7tS66gJk+7zDI5rNcOnpHFghxT+cc9umQprekZ85/Ya/WIJSl+WC7Khpg2yQxgjEgyId7Y7h0wZHyNe89OBjPXmYqTHvgVn7nY8avuAjeztp12vC4mxNOAkQCHX0pn+30OPP9MiieeB1T16Whj2pir5SyFU1jLB3Cst2bQP3Q/dcCFyzKIAr2qPnMgDebmWNtRW3zMDh8/l8rZ3I82+TrvzHezr69Kzqcqe78xd/qqJP2h6fzM86g3CTEW2edQDBn3crzDhvfpAr9CPwiTAm9IuAiwnyLlbVev+lOn35ejW19kuBwRAyjhO3G/tE2/dCl5X2iILt5bCdySoa7/f991xbOprOe3bAiuwCuChgSrMGYHuBFqfZSd0G+2Sy5aaE+iTvvr910ORKRCzKnb5oxHMkZ16+ywSSUZlKFvJ8va8B7whJnKLPCesXHhgHKKsQ0BR0SF7R/wbDKGWnp0AVtJ+yURUQH8OYF3kevAvsXCF4r098IkkNe1V+/ja5qrWx14P5lteOow9N6GujVf0T9FO7+ciCqsS100UUA3As+OubaLvGVymKwaPar/6TSmwKPcYqhX4MOAh4JLNQDiWsWQZqKoIT7K4N2jgM/SPY3TYEoK28ScfAJu2j7vv4LHGfnof2Udv5eyuJxRuyaML4pTlpIW3jlTdWfgM9tNkyv4XLpLd8Um4/p+DqOIBfMAvO8T6thRBcsCrKQF3vqjLQ313NgCavrzHjYd9VIPn87RfV/rzHxWvf32mPmwGcQdeh0lmzPw4NhGXadlV42qPXPliMycG1O4dIczxGSHfRTa9U1qPfxygnPWeyfnEzng83z+MQcPeP4uwo3LyPSRBtFLsdIE9w3wTLcc5kP8+r1yefB0FqEvlt8M76hbGCYQqzyPXmWOHibk1BCdnXe6e5xndYzLDrg8IU9dkReI4bcHjxzIXVjxTa+HTdlFX4A7MsoBK7lkVwd/rhJ4mXCx9zSwVWZcmhtWjhrvyU+NVC7/d07zofZqog6z49WnyervG1jH52xFZtndeR/FheUx+LtQ8gVnkXzARLC3t37DySSJBtShObfbK+xFh+Ut3uUMMaES6vpUjP2mMO0BeD+RRPUy06HM2FHvlVNb9bNW2sXw7qh8CpvdY77EzvaBox371Oz1ocnbkTnFle/bw5lHe8DPBWAdq7SEghj8qkLhxKs6w/u2cNYL3tFQY+8S4A/+0ECpF8jH9Ik3yt4DmsheqaNv9Y5cqy5YEhe+Qz7npFQPMbg22WM28FZJb9QDHaCirUfb7+UoBtVv0eP3HlvzkqB+W0dRXwr5y6Of5/lc8DuCoouv1K7d5vX7ysfIqHT70oSf65nbgA8XqUJ+lYD9Ug4lZ4gClX9ea9Q8Gg+Wtg1wcX3MevJa8IVqi/mFG/2Ubv3wNS5D8ezh9HhOimo/jSfb35zzAP4oi0m8q6qvPFNWGZrXwlAnzd5Xblqr2hMrDpgSZrqKrvaYW1zPxCQpmQ60P9xxdqbso4Hn7Kfqv9cYsOkzRwGHywp4PzqIWNK1drzzX5UFDEvqmAfEqlZxVa7eqO6vK3NWAu54zYbIq/j0T88rFBCz22MtlRLpH8jzdoJnBqmlNoX9fuG739hwgcG/xELtz+kfR2fCjZ3AbUJqePDuMryfDCIFf/7tV8f8QIzYEHsb4EiQMWEPGPR80lGT8xvbs1fRt/xMBE1GFcD7mhJLP7n5FcrkdymMnQXxFTCHOpN4Q4GzSeO38aD9cve+4bDPz6HZy1G9pCHr44yNzY59oWckXyPgJ/wKcfItCOQa035AjdgxbtzamoKEB8/5lBw17oAX4LwC+nI7J/TOAf5b2JALrQjyPvvKEGeZCeMQe6IPpfh7SwRJit4cZP/u1rJV6P9xtNjymIPHs7Fd63DeHsr/t17lsHDN5xcmowPjB7vZG+ztkagxRO3ISjq11Dv9nXB2qo05p4G+VrZaNO6NobBkMEGdZZ+VIelZtAT4EepCJbJvzzTTD+7xxKIVrz0RLkMCPJ4PCmqYGVNX30sH9msXfSiIcLbq7Gi1XSHbXQq1kQ0iKJHzEnKGWpWzXFPgqnPx0H+brlSqV961SRpOoerq53ptGtSJFn5ScVbQ+5/LOZ0TngtW5voA73EvQtRpgrp430Zlh/UK8o+cSL2yVzxHlsb4ghRrif1SO3qSQeBV6RyycMmw9QbwovnFbJnYyHBWtbO8PLhBSGL4/iNgu3sD++Tk+jhXG9areQPMDs9lEliThRqCjralGOY3nI0GnvFG19qNeb3Wu+DC5KcNtXanx1++DO/L95Ke+NnHHPK9ZpmZWmX8QQEqKLPWSUWyAh+5nneAidO5EB/zT7oCz3XNHXJXIlzAl3KOAGuF6GXALeDMwJ8zZ3uBPQ+4uf/VduY8WLNOT5LbScxZihIbFYm+OY+UCsmtkeaU5D7qZd/Or1CDATfhs4pdRNhgXlNna6P/Meqe1Fl7Law2bPoZ6pfYF51xS7l5coeBreTzvDdzxu2iBFRT7uhCBc6f6QJ9ppMeiGEucF4Re16wJ1ACXyiKETWn61styRH2K9T+wzXFs5BepE1gPtPgYJf/tAKfPTBDKWehrXl49PGPGiJwxrORRZsW8jb9iNd6VVmU0vu3BWsZwLsrkxX7QlRZ9MuxWDXUAxrGgxpp70E8T0feF5sK/b1770sN6ulfCXzLVgpqc9NbV6hZsRzai7K2lnDpUYoCcJA5cfQVIwlgHwJ8SBTV6/YrGw4rYK/h5Fh3NXD0+vLOAj7MbScRUKjBBHnpTxx4T284wqyNw4ZpLsZJJo5aKvEJfNjgWe1Hs4e9uqMt4B0XsaUIJ34ORFBLcT1Z34DpTPLQEOzNBXKWFXe6j4EFVTvq65xf1T7Kmcue919pZh28MlNRtfroAxOipl3c00SsZneE+q6N//BwTfKpi3fBWu/NJhH/9MFksNwziwXcVXuog4DBVSs6+oX+1MzZOsz5Y1PAU8/zDeWgFoSQ3Dy00qNzSKLYImnhTrtG1EAWbFjjGLCndk6O58SdGlW4XRq+JCnUVrlnyAfWyhVB2rcpgz2RcOMBj6G1HQMG8H91RaSo7ynkZ2qUiHsSKRtAdB8J2C/HRqjXslM7FUYlzlCIna/KsP16eLVkLfBclgN/cyC/lHGP90rcqnJYL2nd+Op/8cCs1G2fvpzROd22bMDzEPVSZtpOOXOrR8+uWlPLPOZRYG9/AW7opDA/6cc80F1/a7i5SMnOde53Beq7r2ZEzfjq9c81/XfWkh/vwBfE5/98irk9nINtEqfbVItpkpn4Lh30J9IHNk6dtlDXJ3b5/tNSAxl4D9zcbVWR15tqUKlG31jjv+qwd2Q/vVHUMeazrwAzVo7wWLh5nlUOgOff6tc/G+oE9zggkLPEPV0jLzY15Az7At8C+GQ7QixDIsWzL9vQ1ce+qLfEwpzBXgoRnbVDC+BHqFFzgRxYxvbkFmPiyOwXi6ZMJLcsNyKBnH4OKHqm24LrtywXeHeQVhBztdNS9CJgAWEs0KUI2lfACQz2SpDIbQHYf266CGCXb86Z7zHAYYCBLszoF9Tje/bq6/79crJbQDPeTQ9thHKyMZm6yiIBE/Xt6MxC2FNb7skCsXYuuncXkFamCbk2PStZMB3j9HtT7nByH7g2Nx//6Zi+QR320nF6akiWwHH2zS7ZKMOdJAOcY9ULE2qTod/T3th1xqaiV1/l7nFH6KdBYtOhlVXGLyrU53ovInhnCv4uhd/3kwaWBWt7TfeTLEz0CTXt1+s5Hol/lipK738AbxRXtdJF5/C+AdfGgCUwH5adhr0q+qSPeNy1G0GIc94HnuDz437yvFcRt8kZvgv1X5mypwJ4z7Uh4siFesahU+59CGUBzLxFDwcoGSw5OexxVw05BLC28GIJHDGM0e934Wt9A9wa4ahnfN9+yxziTi4c8telHFHHZNknwn+hwZyJEXNE++RfP7QD3m8I5lm3Gc2x5J9Og7MKhqyCb2waqu/C2X4D95zK/BNnndqSk1cqpi/Iny8nq7X0rr9CTCrVBRt4pms9qgMdZshpflRb9HmWsqtD2BM5cFgzYZ+Mm4zTRgbixvLiRkfU4XxogAZ1Li4Ft5UkyQYwTJIA/sRegAQ1yIg+Qc0+Z4BX5FBcyxX4Qc4c3LPxjj37oyJumYdfCuR1AXhtogO5ofaWDh/niWuZT0HVFRvAAHjWZYv1sALu65uBujz0DqwrsM+jSAcFuIl+0HSO1Cja2iIklol1dH97AndVaOfwnl7OQXsQNhGKe63g9gE40Cgh5xQuG+JgUZq0d8BYXxz4LuChrwpiDfa5w23uVBmZAHMA3/FfYD++yKCwgVzcq5Be4e+eZ+Z55ip2dLafEupntRI7dfQpzXz0b/DKPbBawIOyVzNghbzuglXbvlsB7jg6qs1Cb8PR0y1vATPiXIe/05An0N8a8P5QOVGB84n/fZeD/XSQd96YIG+036KX8FS5tBCjmTJH3SAHW/90J+oNDexvyPDoV7sHPh1g30Y60jPWs2KwN7VLs9KG7xRTUjskEJDHmPvrRfuR8hYwoGpjF7mc5Z7xDHk9uEfgJKc19rQTfZa2sYA7pcJa4Dnmhy+CwjngHn0Dt6/MkI0YKGpS/FBYRyln9KF+rdZ3N+t+NXUFcMI0zknO+1mi17PciwQw5fW0mjv8MVoeLnxYLrEgl4fu3H3r63BBf2mLA8au5XSHOp/UAWrNHqxsDZYsM3fAbh5bmV0622feGBN3ihHTUQ4oXOgXeBbAMAK4AJvTXlgqXPAMfCmDheBMFhtbvwHMEQN/SeyJwj63xOB9xav+jDndpcN0Bu40cYi3pGMJ1PXnvHmIfmqFIN8io20x6I2w5tfz6/bcfGwT7DaMB8ino8hLt43heTbZx/cmQ3dTB3gycOWzwHujaNHZ36uyDjbq6zGI0TN5v4nh+3LOn7MVMz/Z8UbxNj3v/Zha8x5w+JLug8vpPqcS55rWgwec01PiwVfeqpUx7QbAlRjgBewRF4sYgxt6rzemPcU51B+jHI7+VwI1CX/zhsjsA54bvzXd+50N1gKfSYALfBWcW7HwW0r8Eer8Txkk62ll/sOzfGfs2Dms6S6w4PnHjPimWiPArKaH/SVlhz2L0xv6iWM9/z3Ty8hJynhTwluPA74AD01UOC0KcMk5nyTerdb84Kmwv6nAoyebvTVjbHPUHf7YqtNKhqrfpnSc0NvgoUkJKHzW6dY5uTHk4l8d6aMYhIF8bZ3l5+bkir7Zia9ypBPUah+1FGvZ25ALu4q/30rAHg2sJWCnc0MCO+unU5Mdbqzvl2KMPkoj0srla5FPb0VuchGatLSf9ykzKW3RVhns5462J6g7Rd7aUO+vrFeR7OkL9voDtj9Uo8lVR2HN1RnPsetcf7PAeNiTVliJXXGaN0O/6lx9KskSyGdBlf7ZnP7XZ35Ue3ZOVj/JCO1Rr6MWagd8+BUwPanv21M1UEr75c4c9LIyWIf7suPA5aKvZozcWFJBBZsliSbmTp4UgVUOZhaG3ngeSeE+PZ6+7aMN4bKSAnCj3+zajeb2pspJWYY2cLJ21DaLVe+V6f6wNobdksFC78Nbjf4Ntu8nhsbcBBZg7WsJvIBZ82fDtxdK+ivOXwM2eWrBvaFuexoYgxc+ygaCuxLeZLWbOrNTYW+MpabaoV/MbcdC2q3iN6glM/Bw+1YBtqSwLzLOsf9gTYN+Q3N9LeU2OBMyQV1BP7lnXfbiLLHQT7QcyD5xUBcU/ULta+zYcxzMHLDbJKxvuxQ6Rf+VmNtumjOot58bOogX+C+slR3RXduXQ7JCNdnAb/+AtcwKx9ucya8vzEvaby51oK3EZTJ1bAkxh1RwFnvDuJg+6zwq6mCOKmdz0cOEZ0XwuyFP5fUVeNCeDexU9B7+liWW/b0Zggt1Jyo5gx0JuI/oJ4eVJYlQ45NDzfTQb7YYaVe6VGTA0eLhcxWAOrK9b+SAmtTeoR6+NxCrF/SRyGyT1nz7Sm02QTx/xUacZA6YeVAvgC3OUNNY2psnxs6bcP4oRj9P7N5uSFvWgZfVznICnHNOLWworC+J4wXpLvoATIGx+tHwflMF0RcDLillfROEXoRjXkq+daG+vyainZWAek30vlhJ9jxnY7mKdOfDe7QTMSw7uvtrlcD5Yt62aTBjb05SCzrX/efCsaMm9Ezs0hZnMIsecuIOamymB0DSXsGFy0iE4ywdG5ZFZMWmzNtnTSENcJDM+rRYP4vU6m3etaQi5pQC7634fIU9zDObfgD+uYoBuL8FUel4xzQkgK+UB3wTnlHcCnGwKjk7Z05v2bC0TbAAHm4Ny/v12RPYiDYGXLJRYeFkOxoDBme4PvAuN5VlVu7WrhbRlA1zmGYB+gni3j2f9w/v9s8mw34QdsyyBHJ7e2QZiWRgm5Kobx2KuOna59myn4bwbvckBIy64b3CoxKIlU9bArapHOsGuS0uOPtMMv9FkBrvyG6ipxAnBN7b5y0l+q77CTABw7X8lsCHIa4S1Cw95yoV/a/fTdFwDz2PL9qCOBZEVMEMGX/7Day2O9n1RfV0U/TRLZXsBnublquJoK6nDfDvZvAMl1pmXJ0gtwshZwI1OlIc3g1HbD+/iv3vvJ51tNkl6fkq9uSsxojzXfQj+sKNBerRkxLi68Jt4XFreisz9VWL6Sas6SPOI3K0k025bxl6LVVGnSrC79nglYCHSnh/9zgUXyeoc88eM1jvu3zdfsXS/i5FDfkCKgm8Y+BSuH+OacaYDLZe4ra86c2Lsmxf5IBrbfUtdyIWQqVVUKOnzoYBVgbuDWulTw2hr03ffjFJ/+fnu6NhNv69Zo6GtRGMO9tQvW6vlWxnluv5vIM6km6tyrIXGepEhzarg+2m5jQGXHYTY3SA97VhznaThtNG3+ekzFGrdnOTpAXsYZ53ox3gBr+2fXl+nRnbQQ4OW5v2JAZs3pamcJrBvBXuuwV8O4S6Z0N8flf7NoV6nWIsFR3Lzjm7UvPpAB573H1LAVwKcIoeDkvmJk88v8kky0/3PwvOBWdrtGf7yTRhZNNRXOu9nytBFuT1lWvmAlJsOrIzs/uFWRpqaWSJ0f+ugOdAjnLgdyY1RmRQuAXgdJZD+cj95/nGegauL1Dn2tKm7tS12vcXJajHR6OysL2mO9SnbP3Ceb8/eq17ofAsMevYReeEAwaNM97KZACwGAC2x3zNI5Xk5qvqCJdh++zv9eSe9PCstzPehch+Pa7mBWpBnKyRLaVtVKdDNio/Fm2Xje23soQvQ4Zz38BDqQ3r7HM+TYpDjbYAKvHizlH74p/nglM7NvnFvRaD/TG9AJdkCXrXDS1TBPjzaizg54cy1NhvXsTWdq2tqH3s9YDCq4WcKWgnP7arHmxeQw2r9jh5Y0r0YpQj9irYm9j4z5qCGn3iUVN2xa1wpyDbt1Mi0ZPr5upg+gGeWTBpMh4EV51FPuClm+DfVhwuM9/7lNnEqyQDDEx3TcAk5xFjPfDkXr3JfQQQ3H9itlhLSo8u4FAXPaC0kgH7bmSb1/9H1bd1N6or3f4lLiaj/djECIyNCEIX0BsgjxAQmNjExvz6U3IvZ3/nYY+1uzsxWKrLnFLVLBuNDHCyGrQrLe9NaLkHu+ghLtwpAhy5i+1kFxuNzHNVxHETaifXU5rBZ5iZrrAm3yy42jyYr//jKV4OiRhi2V+32RGRFYmTQgwn4TZNWbYc7fYtdzRVBeTLrr3SQv6wsd3lYXJrOr03vFQIsiYD+F/RRlnRuga/QH5igrdO2TW/mmml0QtYidGK6Kqid2mkdtKajxnDY0bb55wWGd5NvVYgHdzV4+cG3hXSMry3QEPD2hJ3aqFrtjZCmj4rUiG0r6zShrUx+pWveRwPwI6T5HsXvrc8FWRuhj/AY7dLJWRKCyJroz+L+AI56grrhdmIUmC2F4h/AcTtOwYsw6LkbnSRSNBaZj4IC1SXDNYjj/xL5cavM1ivHGQOPiaxWK5gv7wRtsstww3PG4jdgO/wEdbZpYCGZdTuT6J8NK72KuMN7t9HFaD5lM92HsakYmZmEb9xbfyxfcuYDeREvmod06zAleLSrak681f+Entz73Z79qjb5S0R51UO2y9VtGtpqe+KA6c1WhZ94NaA28s1/iAdLynXKw2uTlXwKwYO1owQ7Xn56gt4U4AvBcsc2T81sxY+oId5N6ODAPka7E9n3FnAt5sFd4mTdZmHuc+SANaY/n3ISH7Vqw6BT+/BVmMyMlv28kKc3swMLyTY8qtm6WB/AveY8SlsAW/ElukLIcGf5cSmsYmA34t4wzkyOvEoWf1DMuq3RgDGLJ7niQgzU1dqtI72DwnvzQMNMZuMmG2J0XnIut8Zao4KyIOEOCMFKQymPQ3TAFjoQrTv5Bb2lbW/VNYW+DTY5KAvZlYpYKsPBpyhRpJmT8wwMbCVdxJ6NzLYHHKZSFALa+tHsEav8434xDEF7AOfLQc6YLAb8m54isEXrPtc01Cae8YiW9uOQf5nQjLS2x8JUqJGUyzEdgLbxGywf2pbiUyTa+mqswR8DxzH1Dz8apke7QDwkno3/bopTbxTlDiAt2a6Qn5yldFVvlWFf6bu34UBh8hsLESv7iK0nBye0zB9E7v4gyJ1yIflKLvgUnX62jjtgt04NTnodbZcDxvHaGmwInjkNs55YBdVoQpi66/M1Xbt+i62VA/cLW6EzqiDMQ858GYyEmTuUdojYLhDFcxr5fB3ZaFZ2oom1szgeznp+/b+OqtkDsSYQe4zC3spoFo+msmpciaj3+Zda3SWSuNv3AKMG5A9FfK9ATzNLC/iBXC6Htm10R0Cfp/b0zWx7JU5e4gZjV2JZccd+3WmJ008awTEJccLWSjPmUM4cEtKXL5gMUWZ+Mc7SjF1ldGjcfRRddrMue0oJckpaIFLoiIzvXQA7JtRQlpB69GdDJ+YKoRfXC8vBWKZzSE3cyxM7SCb//Ev29SrzRUJF57DKsrIjHef3mmnB8KylfcxTfpJSjFxeA+eO6a+d7pULL5U/fwD3CI8uskCue3lX8Dt1VHw51yANkHx5mhJT+7InTEz99LgefUhQowh1++kDatroRW4DnA6fwB7/sA8Dms2ZZWFLglwI2ptwWfbDXU8c8ay4Z1+cb2QPPHd9ZKyOQbc6gH/zk47P2cDSXDXAA5TpFqTTeO2WRK06aloPzhwmRwyHGCAW2mR40moRXTxjTvbIy3in8YCLGzZphbtrJh8+ZdIHlebBHF8cGXS9Mwp++vt4JA96/WQ5PM+jbinWPulArWkYfmoHjNwc1RAHngv+/s9E1NQWZ6xcbA+aXrsE8AfcbVCTu69e4X4aw0/xIDf8qe+sX43+JIAHuXCPoheGt2ln0TgKwc+DrHON7Xh0lFn2EebuJMto6lrwvk7ZaaOL/PUCvyCtggwXlzb2vSDmXner5wyUPa5Hqz5ANj7rYb1EcOCM0sfGQP8C3yudhHYysaD/bjVgK3TiF1KEYC1mDNUdTsZPVbgABVqU8r4e/mYpwRJD77PUtnoPWO/sz9cNmwuQswR435a756zXSIxELtx9w7wikMm7O8EoTMLcMiYgniq+KmTebOLY+BgFezxvRbJre4hj0IOqBxcVh2eubg+YI03ZJW/MzLkYO6QlKtcRBSzgeNryI36LM0MVsemNNh2/+xqmUz/GHFRy0afVSt31c6nzN3bypZl1vk94UCHhhZ+J4aPUQKwVpiMv2fmheFiPNIdEW1GKV+PFkcQq0pAoGelyRHypyuRfsvDxT1a94WKiQIvcRK3XxmVGzOnqSnA/0X8pizNZVHeTkWcQZx6b6I2pMH0v5kLji5PVE2AeW3A1fBsSQDfjkpsP7Dgbw3YDnOWK3yLtULJxsy1g0zr0qJZK63uSfhpA3c7sy72BUJpbmZS2doHDjhVzGhvtq/ewLD82rrAU02tuNGDbcWwNdwuNhoe0tUB26HpuOJ7EjUO1/xYUR/ypgpzMX9DHMd4MHkAyD9KAGWhJOs94LCyVLZv6gZ6GsXd676Su/69ZnFX2giQDbpx1tg4gPhaxKHRKE3EvJKRv6mu8SDuBvnX1cK23hG3TcQIMSiMC4jDH2DrZcXsQxJw6zTqOV/ba+XMvop+OdGRDag0dwTgCzfixhtMdYxt3wKM4wCn9CH+X/MejZm5w+3h2byNmQW8gMeAxPnjNJA02bXfp0EGgHeO4AKhEO2eBHaQrX9NfdoLH7bYRj5bfXNOdVA22px6FYrCDwEV3pMRfITze1XIGPxgx8OzxS3gwg5BylZhIjJbUkXyYXYry2hLecBg4oAF1kYw4gt4sNEcfXFzM2+jdJ7130kdYQT5pSCBFyeBlrXTO0ozpx55VwWftjQawMDx606WvJC4WfkPGDc70c87DYDH9fMk4fnEAnwTAAcSW/O/1x1HmQuVSQrxuAcm6eqEMO/IHCS4HazYijkHXxQDz8UwzUlUXpL+bqvhz4WxckmDGBxseza59MTaWxpMY/3sp9aX2tR7dPB3wn7NJwLuqH3eJx7r53ejQ5ENYFsUp4DLVuD+kIfAflm5MXMdG+YxyGMWHWYgjHh/2gGvCJWHEZ/FTq6qgKTRq7bp541CGvh1szk69ssO7yLA8KwZSwR7nc+jsuM1+fpjdNJIpv3d0WoxYJWlQvGe9NukGuahgRjBAG2cdBudRogjwC2f3wOwjup7sM3ldurtgJvcyZPX+fyjcpknQuAwfTwJwHcnyKs0VOywZo9yVaUM8b1GwLsLsohg7k4FP6aRfwVM/A286afqeUfCCVHR2NyWodR6T502Ozp/VvhzoQL5WyuSRvKH9vr9eeYTthGsSVEWWOdm5lFo37iNf4TGCfC/4KT9FrjGF7emClifz7g+A96bjfZ9HmAK79rVK/lhLvZPQQy4wLJPEX/1mzMZbDZJgfp84BwP26PseSJYbNTIN40Ti8zZCjPDp6IIsP/E4c+bmjPnsPofapzMndnmtMNChu270ftmDHnqaxsAZ7MrV70lxW991NmcU3D2CfZi1vvPmjhTz8z9ACvNuabR4rwTu7/lSH4o2/TfQazaIQS+vWeMrICZRxGBHQdGYxX42AD0qtO47skDF36koumVlyPg818QbwjwhvI0lPa/szC85yM5U6PdsZMBxDis3GlV+nxpOp7VkQQ8pmAdcMIdsPgdgtzSP0QYJwnFQP+nI/ghbpztRwa288JRtUD9f7wdCaNnNgYexOJHPmxvciwvgJOO+UC++IrOVUfeG612pxBiWqBT4F27HPgIfp/TaohT4Fcl4A2Cn1ownwvEsDcs0Mu/fLnDkPdgH+keYpeiNWpNx25Gtf9o3mfADPt7Ghr9JVO7gDe4byvIWTHk1qCKghv/upoZXakc8Aw5j2QdOVeBek8EqXiBvYNzfp3BXrCj7YrGc1m0IcQWzcWSlF2McpdMdRDYBssAjn7P8pmwFfmAF9+NrlnFzw/JWt108Qd+bA2fySqms3zAOBvLO2DjrAYOnYb6deawgT3vZVDeYS8RpX7SdGQHmOvRDPyArRYiLvmpBhuwYfLAUfvUAQX+/JZwo+3DZ7Cfi7GNamijjBLw94UAB2O4wNapC+6Yxb9zb8sisGt4zzqcJ8AKOBsAe4L1cBexo9vqU/dpAXebEsiZ8qkXEAMX8QA/8rLhqgTcDfQ5ZoBn75xh0lh/7qXmbzyYDK8fK4Ze+qJM9dsshxgD3PGrMn2znTS8d65W+ZU/tubzbqKY3sB+uULxEydDrCqwWCLBMUvApvMA8BP37yknDz7EVTKSpWJ/PLbjOhPohXu5mVupwDbMnLl8bCPwk4yKtoTPPPNwMWexMd6Rbx7OG2rhODdxPJwyZS3ihIhR7dkAFjLnZ+9cePKkdUU452xsi9w2/Ju9tCOMv0SAufb0/c+mGe5GhzOt3b0F3/9cDlsbvh/YLz5Su3cbwPiKS484WJ9C/CWCu4NXvweO+14HW3MXnkBedYFTLJBvlzpEPuzvK27sjH5HZnk42cW9GuJbCpwFh3I9uNnj6MiqGozasBoOVmn6Bq5ZP6VpoK8S7e80tGcqDPeRnBSYAQ5YzWwH6pCqhtxv9OL+dz5/tTHXg/iaz8lgdMPQ2ZyJg5/2JJxnwAxx5fqHutOHFJEq78H3O/lhznNzpqsq2N4Pdnxnvbfnjveodro4ofgHcpiU0X7JhP6u2falL/oNPp9X+Rww9+wowLyka62aTznw5Fs9TB+UxxujCYPNMwPgLFxdeOE/6q4NqmDjngb1ATj7cQIKDdkDk8D0uqCKW89z0ZDav/jQ45AfAet8Q479IPBtzDy9k1Yt3+EefN+u+21adeVN9Zu76hcEv3sArjoTjW5kRBYvkG4A6z216Lv2o975LO/5D6VSw5q0YvzVn28JCuB7IFND9sZslUGO2uS6veAdx2TVH8C/ijqMeclLB4sEcBSGZ5QXSF0OiwKHudMM7/t16rdm3u8PH5IVOxCxVvShdiij/+snkiTS19xou9ioqq3FBVs4c/Q8a3IYxPGaeVUN3MdwKnN2TkYVAyY/gv04ya40GnhfyWOrscguKSC9FLgMBp5b65ZyB92bnf/qhfFzra2MJc7BMusgKyGmtzxCHPZvEV9/wI//8S/gHCPOZzN3KCUFYMTA3mDtR4KiyKzZYUVZvaJDE3qo6gCND/sF8MiBFW3wW9uDpsjoXrLi7/24mh57LCp93kDu/CHWLFgxBRj53zi0IwZ7exL8gwwQ89f2h9vKb6z+XtrlA7BIbDQfIX96R9t/ywEjsp6Z5x1fNs8Do00MqJuZc5ltmASkbILlkVnPc5pjXsQexCZSA/eHmLlRPXAxsXdV99fMLrXLMXBZl2zoGmvKk9sJOFCjpwdGiGdr8jiu/u13DS3TT47Ne56NDYl+f6EBemfF3ivtKcn4/lIH54vY6StwMzOfO1OAGY7W8sBueU+6cpWCR6QvYa/jaymUnRvtjxGHwI9mkv/2Lr2Bj79BTnnAXi7/cVZ24prxDrAv+C7rtcD59qCESkqxXFKkN8C/IIfYtujMvNM4zHhsapvfzRwLtdO92AVmbrnhy+eK8V+dQOABuNmhD8oyh47oJwnxkQSbNaOf7mmczOzEUa3qTRq9mlB3ph7K9KYlAdKJxqweP+2E8/Efb2G2qekmwmhXWPcSaFzZyxevrEiIviA2uNSyObP+3Bozq8zl8CkTToa2AJxNaQTxtftrMwfiYKBveMRvJDivKpIEh3hf6+lsdBuaKAPspLu6B0zF/UU6bDV2/DpzyPl0zTRgh55vOENmDsdGsu0j7xDOzUwaF4mnPqeY2cnYOKx/0st7LhYkV2Tunp68snY1RCX8Q9nmDuszlJ3KadBiyX/PbSJZnB2ILWY2LoXccASu89TZBKxWAX+2edEv3FmwGJ7zR7MmsOdcS8SY/S5hnXKkeohDaT4sH6rn+1NB9jXnTgZxoCowUez+qksx/hfJld0bLTcVvL+Zi6V4uzHalsDvKpP7aOFfAYtALCct/NwxD+znfQmlcVoZPjrMNuRJ06N4h/UM2RfgII2rHHBrGuHixfVyYWYDkq4Olzbd6ZCxBOLItNSF0SHae8DzzOwciPHqKxH8Czv2V2PL78rUNACyzowuA2174LaSccRw1xpsNFU7+daAXQB+e53B/sBzTO1gmlNT92bunpvLiRuch0vS4ysxWqMUFZmlASe1+zrwvGyQFQ/RmYvJN1pE5m6ba8DjSBHpnO8smPPG9TdVJy8QK1/1URvgXHfInTaO4osSm/uJqWMuPMaHPwvEiyt94kJyBUybAo5kbJz21ag+MIUcJBYPMBNijulDlK3i3Eu08mgwZ2AbVW5JeXTVK24AEvL+u6N95p/EnC9Bjv8wfSdVAHw4337B/q4HSx8Bf7i5IL3pNaMhjhnE5srMOCz+Lk0R3IBv2OC/gg3ypy60nVu9I8L+dcdxSYv4DTDeg/bTvQlhz62FmhyPh37DC33ONZ5z52nzBeDOjQqmd+BgKWPLvXEkTcFuiBWsLFDx0fp0wBc/alv60plmFmBM7Ph1d1MpR/Y0XD5O7H6RX7PRqZWAeR+1HRtduKmhxEmKdjRzTbKC+JmZg6qRr4opOa7aOj7+POiA7dPTTjNHoPhYAY4190PAVz/YTr348pIAZ6lCG2ImYOq+NfdhSQaYrO6QqZlICUVm324nnj2qlThNZOb4xeYum1TDtDe+WzJCSgGc1NQjRXrmAzkom3wko2+0ZF73lakI4hX839TXga+Dv1g6rsyZQgT+UUym562sv7bfEnAuR5OW77NVjpA/ds2tsfUi/+nZTFIjXruKUZeBD/3TkyUIeN373L1yCu2DhVrnR8ZlW6EnRj4AR9tQ96/RPsHARzbgSwsP/uGi51n0oHkVeB85JZXxIcHkhTuTTd1mxRHOpZkHEHhjHfUbiI2vWhEnNT5jedfa5sdKqx+l1Rn4Gvipl9EBMKobG6wIMWnZQd5ayJhZ1bDlNTO65u2l7ONWIf5d6YlU/YSzou2SfOb1QDxaBG7dT6/+ZVhrcz7sXSoHd8mAZfm13Ysi3mdGvziw7uYugUEiqGxdpIX8BpxwqHbJkvfNjYRTQAtk5z27iHBzOzqtcwqkALwbYGE0HlCZWb/9sH25tozt0CGHXQO/N1o6Y/nsGUY54AeHFcr/d8YAHNdo0jFt09CTNfVlWmjAW88ZUBMr/KnmxJNDu5PhcmueXH9bJt2rZmmmdTHtmzCza8jvpdveAHPFMtSXPEB9jciRuNwqC21q9Npkt19wZ2af6R5y4pgifwYkmOXWdDkhPeTD1TvBukirPSqE2hpxWfXz60wPQy7AlJm72PhickZl2bZyYsrX7GZmcCgLSYjDG8ITB1sEoMUkGualsMeHTCd3VZRLzbgLuBwdnYk0Yr79F4ec3LIhbv7ODDJzuXUT4vxkvoNGrjn7O0Xyg+fbiEX+5iQUgzxakffZSd5nu6GKgT9RZbcfKZ/2eJWAH+F3elKUmuy4wyE2zDOzjZaL8srVf52L/gCunYBPWfWIjaqHQ4P4XK8QJpk5G1l47Sy72sFBE8yIaDKfRqDvozZ6XAFFfgT7GbFehqSAONgnzzv9VODgqYtmbfMmTH5nV50CPNcWBk7ZXMD3TPU18G/l5+7zntXgCMGcicI7t/Cud+LYR7zDEDQ/N0ZjQnSxTYy2jjPpZiV2vvKkLpAEPmw0Rx0ZvHLlvOHODIvaHgmaHsBvPzKGXOpkpp4sJK7e5/20HuzPS8IgdyPDcZSZR1xmAn+f+uvCbO3D2s5cbM8Y4Q0Jl0MqPKIoh3iuMRXLaw1LCtiHhBgraxsku96WPXGltVxkz1uu/R64+wNy1zvWxNS027LDNra2HvDJAH8B/w62C9jAXRg8VwCuNP3L9K+JM2YmwLlB0+/dTVU0VrJyp4445gL41IhSwOMhef9j7hVKSaUPdpKy8N9ZZMPOm9MA7x9pYK2Lm3JN03DyDJZNOTk2CPx+/XtLOmyVjEOMCqxffAh+wDkegbOFzI1vufETZ/uA/MzMOOD8a5vi/vyQ4baonH/vArZ2k5YX5ztu57z9hnVmjeVNXOgdPPet7tsW2wQSr3LV2r69YhQZ/1qcna0M1qgyeMgONnnkZ8Ane/jcsLRs98T2HqzlVNtqwig+l45ttPM94H1HsP6NBF6DzVwdZllmfgvY2gQ4ecyMHmC4vOxwbbq9VwG/bXZ6X6/aVjv/A+LMOd0pGzhWh4UHjr03+zILPW1qpjdVpN+y3tvhNX4ApwdQl3m8R4cqTIBrkq9smM4E8kzCcJZZ21fvLfh7yzPXzP8rNxDTFrWLTT76zp3EaYZ5R/u4z1wf0OWzNmHDreVdBh7EbxxRhy2Nmb8MWJGHdgXYZqlpAHaCBtk1Hjy3l4792+ebC/tBIj+XCBWwry1H8Vdm5lJQ/JUMvK0C/AN2ttTD9ZHZUwjYcErD2K3Du132bUSt+ZuzGaLPlAPOOh/czMas/aH/6pwzWK/v1715ZgGfEfO7OauEeHjNH3MlAsj7XNpiuIINoHPWb52mKz0eBZ7k7UfSZTfatTkXGPKCHJWl3ET3gDsmeTLn0b22TsMTl71Xqx+/eKXq7btc2yjjeDGYMmVypGwa8M7npU1IQ/mVsniGuBZUqyYScloz3J2U44caiKh7yz2JCbC22jQosRv4XrAuH4Aritppz5C/fusczCz13GiO6FirSB8hriN430MSbCfObJLYcQ/8zK8hZmUW6gDfAK5OgF/rtbZmG7vAsPvlQdd2IEULfA7vgcPPcjw/cq4Pzfg7A/SWjLhNXI7zsR3qXRvUg70rOWBxqy2SHXlL4e8ywKt5r1JJW4h32of48w2cYhEAVdQA/EDIHzkmj8RJLIw+nTr48yiBe3PATCa//vesBTiTrKLJM/W83ILcI6Zj2X1eTn18qItmQ4s4TSMVZDTuK3vC1WMegCNdEmO/toYcZGowJx+4jMXCZQSs0QrTUxHOR+BKYz38xkOOB69obOzRMH7IYIF3JGYmkQ34j+GBvNOCe7k9VRC/35K1rbJhOwr9aUnYr7zzJxLYaW1P15zNVR1s7+b+WXa8hf0+NiF51pL896zn/z91JAUMU0jNM6xbRgGTSycwOkMcMMdBfM1OrXs73fkj7uL5BLgkQVNCtF4pahajo4D1FNWAq0xPZt21e87iDBf4/8bDO+nMWU+8QOwCYIwOwNOsBslNs5M/zPb3iVVakmlzDp6eaKuFOQvT7J4i/JbQ9liuOkpCss+pf5eO2uVB3Nc7bu5zy9MgD0k4v7BNQLk/in6iJ64eNXB/8F9OEcIZBbxha8B7agM5Ezc7LlOIF0dHZc/6EnMHz8De3OCW239vjbO5JdH5eVcKONJN8/mncksrCfnvPA7AEmu6w6kc2XIatpds0BGDmMuALzauBlxrV1RsbbXqWFEliVCH6v3Pg8B+8TUGGzXzxVqb7tDILXmpOS6oudcawOBXo5kyvepFWbKqXQU8Khn2az2W9ulrnsHepzzcQ4z4+2CrxGlgk2wNNsrZ2pVAVcJMXwM/lqO5I47NubYQnf/Ntd5kbEkajTc02N6EaB3e/fpyAf7j0kj6h1XvyRofebC/nwS/4OjTfdYriXYCbH+v+CTF2PqSovspPDvPup4CXVmBAmXrINM6JjuIcTtSMi0jwLTTaYjvNUIvriex2M6MxztWtERxnGZ2abNAhzKE/IlInNn+R9bzOGfPnO4oqlnpeALsoUz473m9aEbfztn1YvSOAMO7jZN5R4gpisrfOSN8xcdm+OMmX/MBePgHpUC2BbaAh7w3A/h0B/y/0yvkwovhzKozc/DkoQnijwo985knOFnkzp/VGu8Pj+1KvmZqtC2SUe9ZGL/upKKmwx8Qdzt4l42Zlyko8DPwUcjpI+9bDrlF1oHJh3I2+BbwvKm7GE3PAXNiJiD25yE4JCU/RrsY7MvMhCtp8MfGOxICvnjtl68ss7fzvoG8cVxleXxsH7KTYbOLDUePAd9oiHdX5njfCZc74Og7o7+moviKOz3B86UMyE0icsFgS+XIPaanpRYbk3fjNMKvM6KerKiqXZ6RAI9Zx6Pa6CA95jP4OIa8gSEnG33ML/m4Omolo2J/Lk2wdQ+PWSTj2cIuWRNxv9Xs83bqJ4ggkId2OEtD7RvdJtVnv/MCkq4NToW65Z2p1Y4BY89vLL86phpECu9SCgnr1Vb5GH8Dl+ggx5h51VQa/b1+xqceZeVKckX9Qq7+B4kSVxSTD3sRnrQ/mwkmL+7AgsXoJtmUtQVjfzZJoX+MTm3VmR6TNiLWdKf22anDWZs6Q8yMdpll8zC2gGt+wbpY/3RVFcEGE0Q+8Gq/auzMZY4+Utq+4qGLTR9juMis13Fjt3dAC2a+RlkX+NoAd4K8ZebGLRCv8szc2facA+b4ASx4LFkC+EoDXzBnIFtTh3KrxlZIHrgJQ9/KCf6/O8SD0zunUX4lvfcgA3dL7X+b2dkHZ+tmA1t5cLcq4Ee5OXsGTAE2EaUcLbVlmPOzBg3wEPeV4zECNgnY0atgq566U1qaOXzr//KyTCrado2zHJjAXtmTQWhimpqNzo1zcOXjaP0xvX8e0fidwvvXK/IUA9zoIsipvAfs/A38PWwKksPnt1jwb8B9OzMb1Og3vTgRdfVV9lubjNrUxB6ygYMd+YDPmQd5IpdhthjZkFPveazYr6dILRlr308RYNYduxkt/2aAOKrbvrSnIOOQG0aFGwp8W5wtweIXBtAHm7+JHffqZ99NYCfOHOembnvHNmBXbjNOY2LzXPQEcBpnzU79iF5dM1f3hPeXU4hZZnSLhAcxVUbmO1erEpWw21OIbo3+rcd2lZn7uYv3amgR4AH3uCZuSjVKQuDFBdmoYQ+4r/dkxE2NodOs/liOE6bWIhlD4Efb6qSlmUPyYJakSqM78OVD6ajvqp9QOfovm1+Bl5nZ6Bs8yhx3mFYh8KQeoSa4307v83vekx9q8/g0oC8+IMBRKhFFHEkHePww/yi+tw6WollvBym7bhjgJ8CkXeLwQQ6kPzibXzs8mbk8//VOSI1gvf19vsbvwtQec3SB9XwT4nwH/8oFQ1dpqW+m+UKcaU4cM+t12VWOJgkyNdybO+znnQuecvupx/c8Z33VYlUh2kDMOULu2CRRu68f25z2/WLqxuo1ueeQtwFDXTJbBsoiR0zbDdiNxTR6ZKt2BJcV8Pn4uJZLygDGavJTRz5gKvLiPa/85Wcj/iKPLa16eyarfGQaHWBNV2kTBrEAsHr7drCnDXeDu+Eq1MosEeF7bqvCaMAAvjjmerLJMN9gDTCs2XLq8JCG940K767a7V9n5jnmk4kPXuPMu+c95HA32pY5ZXhmLuRbRsw8Bxtw1K620C2P9M7MJy0tviM9M+d6X+XX1gOejdkOog58HuXxSLnKIF4v3P2duWAfHlfvsCrANGpn5v/wfjG1+w63J53vADMNgGOL+CJCZpsTaFg3ajQKa0s9GNhIgwAzhr2du4Bx32cEOLhgFolpaL+Zf0+L/qXpNNf6r9cgyMergvhAzLOBe5te4t41uh2Ql59a3IqWFzXGz3ODSse9NDOCeFucqO9mzvSW223GgLsC/4JVZnfl2IsMOBUCvepSbkcXPZ49B9zfgctT6bbAS3rgX70HXjimgfL5oPdVFOfY2cpmWL6Pjzk+WjKAWHErx942tVvM1qwR5NK47UfuxMTkfxrFk9zxFwZAp2DJwGeOSUE6U/GD3em9ZISZSrF88LrE0uYM/Jo786FhSvIxsaoRp4b3U8sDnhnPTAAucPH7iXFWW0Ar3Sk7Id9PI//wvxrp6x14ycJ6PlNnxrBG99LgiX/3PlfwxTQ3c6YLnEtNsqzTP8kYLBB/hBimSPCpYGtjl5b9feriG7bKBx/s/cFuPbqStyrCX3xtX3e+ZSbYQm3Zs2FBB5tsToH8Oe3awej1JYAVgMdVz7k8oz7mFDPmNPaJQlzueQu44q3WgZObOnnDSzk+18BLS7Z9VGIL+SteExa/MJsHeehbRH4HfronA7km/bw5Mc/EV3M3vZr+gkosA+2XH67N7Qr6BvyU1Wia88JfYb0epatt1l+91Ey+iIir7GcvTZi7von5r3qASTJbnmhgU0vvcchnKWTMAtvc+5i7tRiscCf6GN7TxoAvzZ1SAettASe7mJ4gNrSyCa+ujIAzMaO9wGle6BFTgk0Hx2H97Sku6xAwt8hWbAWw3mdP5nN+Mjrtu88NAXtn738ugC8ZdmSPKaCAFZspVh3wUbNmsD8oefZ08daqnzUZUwc+lPERm57otXSa31ljuPfObPTfYJ2j09jmEHvOT80gs38mbkBsBR+wmzVbK4fdxE4OLDA9yLanwitwUbtSWi1l4Yc14H7gHGvDvKHp2/c0lN3x8ecVezM2xnMO3LZZ2wnWPq8AC4qCR6eIf3HLQzkz95faPVoKZSv3y+HuCCYJp8DmhoUSRPrakn5t6ts6tGNRYwPP0MyxN8CH/SPk29dZJeR26znfjqOx0jjNbVkQZmq2IQ6BvZaF5uYO44mTAFcBY/SExjYObL/q9Vq7rannfYd4iU+MfJNIl7iP70RoeN7Sc9b+vO4QmbCNblnCdp9eNSQr+LAggWTAHTjX8VAF9jln/QJ/b3TsZkLlz7PGCfFHwviVOPMKdrDjLvhJhyNln4HnqAI49Ue2yqQuyAvbACbQZsaDYL1ywSQrsHecM/RTD94B7BIliOfVaObf7J1sRGkTkbUcLIdZ24PctTwf/agWdokjeUsR8huXe2lA3mAPqzQKALO+zr5mo71YnsBf1X99anjgP2bmJhXzJDpyl2z5UcPVBRsvAadswH464ORl4pgcqe/JqA48KO+s8DeymAqw1HfIEUEVQTIb7Ba4+Et/foc76dRiApuav+oQeJBDDqZ2qIF3yy3vjQuUVs4C4A6xZpBf6n27Axta04hDLPr7wE5yE+b+i/GudFteOX8cE0sAJ7cZfGdVyBd3cJJi6hXQaLmLWxoazSP1Taxkc8rnB2CazNRb5oGO6kiupncaOG0G8RoTmt0hhyfVgJ49xqXV5om9d02dUzkw+wT7XA7Ax39n7F5XajQbLKM/dLYpfMdybVyjK8J2RBPx6cF74MSG766xxsx7VJxZdR9PjbN/nELTN49MXQSthq1HHZQAVxMimChg3iTlcVJZ7etOqjf8mpgarQILwBxmJjlPwzjKrCkkNpYynD8Srm58NJo6+iLtmLGVnIGDtCLAy78aGW167lBCyXdt7gPMWaTYajM3Fv772i8PW3OcvM9euiMWoe25iRCDGOo2AQYk1d/ronmUImbl4H0I9Bc4szIaQ1dJZVUDUzf3e3z393YKZXVwY4G/trTW0qmc+Ac7/B3w6Cv2HuQ74FY+XWAtzzX3N5iTRAyBXbq8y8V2rUTjSGfJ1U5eM4f7grV+ShOwV49gDtg1mvYUOL9ySULdyU1FXNDh00uCxZEcuFrn//zmlH67yxkPeOBFpyEWFfX9OmDAE3rAfm2b7wKvhrycRtOdF7FInLOVBnh/+por07tIxdlJBDC7zmAW+YMBlwAGPUoH7BZimbR+dZYAo2xWiLEutxJPCBzIUBaVIBi47BWsRLKOzyrQFumNjvsZ+NaEcrddVQjxY9R9PhgFl/2dmnpiB+U8aiWz4uoUel8QpyPIcy9e+Q0cezWaNrmzUAW5BHDkDN/hWb/Bd40H//7GLezVttw1Pe94odsmXGhjTsXZliasXIHLLrAGY92TI/jumfJprKMW1UxV8PavetElG/T47zx+f1f60zL4Eu+U6e9wIEv9gN8mwIMJHuRHKtCGDh7PC+wq7s/cJTsxaCSd6T1hc86YqU1u42QgF6FLoxF1x/1LR/pqp8LMZ5rdTENOsJavpttbPEIh40bzrtwcnCnPKarA/y+ZsH+aAvjRc7bwJ+THZ+2JT3rtkLF1iYXeTe1oyuBnQg24yLIq9MKi12fdvwqttfqa37BzvguhLhThWAWemRP4Om+CWKjbZNCX0m6TNIJ3XjMPYrHFehxVWs2ZkMmpRz8HB+3yvrdwsGV1ENPKsX/7fMFOMoB1bqXPa7Ka89l+0+wwqSJ9yP/hy4CAx5t73aRXN8ZkW43lA4deWgMmzHqZSdZ+qz6wjJZEWfBHQ9Ub3pGb6lrI0dtX/9dS6vKGeXyF2F4l4XYHXA+wj4nRk00pRD1nMZxHcoZH3s8WG5BHqZqTXbapI72SQqemz5H1MiLA5+E5DxzFgBUwcL7E1EW+9svoJ9ncWkJB+Qe32xK4dtEUE4BmArwRONFjdnM0DfAMQ4sfp8ADvrJ1aIBQ5rZFZqM4K/iz/hAH0wNixuaEOKkDjkuOu2awX73tDgYMV4Wbhdtg1x0/lMAjy0KVmQZOvrYxtSG/7fiBumbGxydwVLY5WjM2M5WOq74ljy2uiv4CPoqxtQ2qMXEp+InaKQ2ofW9qyl718/jxx1W0uVXj/nZc5XCwWot+/bGar9lm8D1ZWD6kiH+AG3SUcpki3jbOcgG/fRcsvpW9MueYrQq9Z5+w2JEH5GTA/6aO7s9Shb+zaGMeNp6hnixqXTa2TA2IY6dND84SULaxWQi5G5FFhts7HVQE+e8MmCpnIVlpx/Omw7oJgPX37M553AOW1LkuN421QGT2j7Ubv870Qma1V8j3oeyXuwReJTocCrGNGI2pHEwv2XJobEmrFRfYmeyKqu8UTZPJVyzSCcQ+6wgY+9951BW4tCK4iN9NLVYNWOwU2i9emZteSzbEbTKSs7R4CPnnnAR7lwXTXVHAU4iEebDfSN3btWO/cfCD4xpfUrbdNfDZjeYjcJ+Nsv1F6k/HzP4TTAnA0/mJLcBr+euOowOuIDMLfZHAaHabeT39Jo+I4VePOvrcQM4FLkQOhE0ks3mFNWCFnk881BnpyDfkE9vEDRohKy38uWaTmZ+5V5wneVG6iaN/7x2I2zK6ljduP9/7Rwl+J4MKcuvsmFoa4Aq3UjcP+jUD3to++MhW4IJtOcpMjWC97tnFbuxAvtsDXk8z8eeW7pTIIHIwFj8Ul79aBE0IuMnZGmWxGI9+dRqm+RRymez86wnWF7A9rFL7qG1eNBFGgI8/KsRtgwWJzfeEtQfpxGmD4ns2bL8Imo6AdcAnzw4Lnppov3f0sj9bbEQD38GKWOQ9sRNXhDJO0dnMuL9grgTR8VuOdJnm259UeKsISZxEvlCmb6vwq3pF32Z2e7UiL+dxmjuTwL11B+w1N0z/amJADL9CzguNdgcPlzSxPIz75E4N7+jVCn7qmOdXndEWxaky+jWoWfLeaAgB9nSnZ68f4HngdoD9+4nhSFMueFbyz1vyPy2d76pHKx/JwC3l4/5zpRFwn87MC1CeqStqnI39r8dgS2Uf47yYTN//+7P+pfcu+aCjKvIhJ6DpVMR3buadalkJVNoy/Hz8TxPjek8BWtC+/eL9NqSv+qfgeiG9DXmpTYi5US7we215x1zjpewTo5kKec8zd0Ke7MGeVn6oe74z9bHAufYJYHY6Jl7lmDzyq6eX855dWNHGsFd71fWbBLUc8CSnX9uUieUbbGEAe3HqAB+NZhgwbxdiw3SwM6c2NQ0a4m4wXTPg5ZyZ+mE+1GKOsANrYOZzWfPr3Ob21NM3HH6cHsB5jO7mG7yjBdZ8N30ykLsAX6MIck0F8WVXQs6oh8XMgbcZ9xdTg5vpFpdO6xmNxDowPeHmTnqyTlRrsO9XHdEXoeoAfHpzKhq7Mdoptq5wwdPczLQOuFEwyY1vNtE0ciHvpZU9TmKaqNtc8rCNJfUtsK3dKZjZqY9j4ESMAv2sw82lcnp4Z/SKvYDz+UfemTuvucjWwGnGtmjGOE6oPBD4HkaTlVJ2Y5DTk50+lKt+o4H9TwfLMTWR8gxxcUjQ3zvw2dRo5gKuwsBPsbLU1eixvM6W4c0vkqEc4nqURwgBb6a50xoNjrgZ9TGJ0IcwtYlaE8BOkPsWDPtqMOz7adBFzvQFcvMb/GxoZkfxQc/VsHxAnGyVlh4LXv16c4ERljySX8TMg2XzEWJ5eRrIVdDkQiL+A/+WGBsHGxHmfoY694caFgTcnKoe8II7HWuEl1ogTc0Z4Ip2wCXzhk0hfB5wQPI6x0Y4QldT/9Z0JWB3vklsWMeQOArpBbBcS63F9A92XL/Ob7kNz0kyrb+xmIbjY5tLbnKt/EqK/S13yJ64SKoC59j2D4BZX/1E73Xf3MseRcqF3N2TJeUQw4fYOj1zLA8gVptZxx/czPsopogP3IE9KCFnHyn1O+XMugKudsq3mEUortinJ4fPS8bRkgfIEZ0cX3UpWfH3zlG5VGYfKJ4yiEdmdhhH5GL6vU4atQTJN4Eg9gzyJxGA15yrZ2rlOeQM+G67DLhjafKKzVNC/Tvp0cKL/iEC0xs2v2p7snoHPrr6gMuBjyJt5jnejyvvGrcHLCO/FbMJQ3uL8P0CvrZKTaoU7T3aBRvgEfvcJgjwv4kBtLRscrT6O/CjwOBQWKNdYpOXvqhOCjOjy7plVnavxt5OevuqenUmobfI7nMDfOAdfKjLx09zEvWjIE8CGvhSQ3JjCHJr770BJ88g1+JqnEyPxObE7EduYVuNewd47CunpNydvvJhvjA7Xig3Zw74J2XMTSz+Ra3PhfZ6nzAvwaZHWUypooiVI6nqUSY5M7Mu/C/4mVSMZH+i5Km3Ajj7y/QlAi/awTq9/OtZe0CLFj7zGecXEqlUrXjEnXbrwBuJtf1qesD9BX7UFOKrhUfw87AqphR4Q5aI5SNBZF/t9GA0Nw4u/5Ls7OaR7ipruhhd4/+eRRI3uWDHM/dy36f3bW+0+mBPF7nGb8L0AwVSnwbvnQ6QbQVaaobfAfs88pUXEGt702OQBH9uiYN5QnkpV14Cdsv/y4cL7OX/6nuZHjEys2AWsJOWmRraU4DdJALOGGwNF0sSG2ztMRenfu5IqC/ckl4CMNfoigPG+VfT1PMgc+I3gzfBHsPcxl8MTQcIv6/9agH/HEqduPWAAOTGVW6rpV5bG2KPL50t2LVv7qIKCnG8pnFsZkVQBy8nyG9JOKdG18RonTz7pAby1XD/YfROqLXfqAK4BUSNV/4C/nQW7/OxtI1mPXojyKd5j43m8b0R97sarBtw+RKbGUcW6nLAf4ThH+WUt4Nt+lSmQYWfa/4+CxngXeYYPQ/51O5rkNnfXx3OzdHxUpVvrwkHG0JtmoMTQxxrc1NvQH1WAv4EjvUB/PnQ0OyRaWwUTXwckJWF7cXUkVSOTDCNH2T1H6bvu+aoM7Vv1JokxPRX3XIM63VRYn7gNT6XQ3kRO7WTzAvqnfyomA5OXWNlDF/qiIiGbRaJpLnvK+soXoCvTc2qAojNWbVrA7B/ToOpKAUpElvtmhW12YBf5wCXyjV6bfZ3af3ZNLZOEksvudHw5XyfCBxy/mmzYftgjoeMJrqZTYbZ3EHMpbUwnBe22ZmAt8ZhvdtvxFPLD0WS9y7V+8fBefnydSmNTinw19OOYMLgfcc92PVS5tYyplRlgKd98BFUd+TRrDgFvilKMZt72g3wrTcVasDSbcCd+5py8rzHU+HEeOSDD/q8Er/afTOlaE567KlVS8D/j2SVAHimEfJHmhcYMJZ9AZs5GF05MsSAdfabxvnjvfrxCC9NzfSUaHIWfQncJfOedY8unk7BtjqFv2dfxYkB5v3aTnJo74AlIxnwKmVozhxl7qY3jRsvkI9GaiHTozXA3p8ziOlYeOb8CSfFVApt5jMtvA63ay4mc45WpoLTquNv1cp/9dkSOz7WBWrhM48mfzSaWRB3cWkBSnGIEOE8Hy1EkxAYn6vmjC2kLOKCcf6Td1LXo69leL7Q7u9FRP2j4mb2dW/qmcLamrpyUC87PDCNjpnmSw2fWVvx647QTyEnmOcnkZohJz01uGBd45K3CPbFpXZ2T7mpcy8tiM19E9o3wdGF2G0FcfGR8d4pRSuBd7x6b31ITjvmoArwuC/6GIEfz8SewD5Qd3RkWpteQQu805lTw7UySB0c4SPkrf3T9gYLuG1rNU58S4LzDTivx3h7xiNwTcB08G4v/tWpvl2Uq26AH/Jq6C+njm/yIAabBGy1ft4AP+cq4KbPuQV/caizbdUO3ZsBhfDnj6rf9tUu7k6B/Xa0JGb25yJd/I41/lahNDOaX2cpP9XAHjQ0tU76wUNkZsKZ8zgfR34E+O6c98rMgnNpKC3pQjwW7RvJ56sKIZ+ssucdux3tlktuNKw17AH3Tb0qGZb3ZgfRzPqtPUgSrT74GjyARxcnjg+Z8Pas8wcMaA/wd3dY46oe7B5yRIU5OVerPItgrgRbjF5UVGr/nvXLh9D6vXLslbqfdtLxFXhNKgpt5SN+3d3sJPLvdTDf6oGzisuPjE8L70yv878+RNJpsIHpmMNa896+J2wLsddeubO9mdkkQvs/fCU9sRLTR/t2cLQ5Wf6G3BUB7qLc8n5r9eVwthMt7cqaTT7aqACNabD97w7R1JD5j5LGDg410LfAFsPZSUO7K23lSRH3p6EBjDbTsgDOC8mqgfh90myhbrse7U+7stvXOdsM+IdR7b9hYeN6RwJY4e8EAa8O8Zs5YzM63DIkF2q3IXAKv6Ykl7YqgNd+EAtnNN9uWPDnkgZEZo4ejIprxs6OOTMDu9hT8Tv744uvcfpPS6BdqWiNzmOHURsAHiaEBZdyaBEfYZ2LpwY18DtSGb1dytEbG8gNcMgOuL2ZhTGRYIs4mwkupgs8t1BjnOW0/Z/GOG0PyvKSrPMn3scR/HzHbPQmA230kmfgE1+lmKIatXni9F71vs3x15bnQt1IEEvwDc6GeFI8MTOhKnPunYcEJ0hRZaueRuSFo54z1DJLxxlNljRABwy8lNj8q15JBjYXpcHiA+7iNTDZJpyLJvi8iAA4cQFhQMcU1jjINIohpAyAI47NiHeAVX7Af46JaAs2oFeNNOSfqcPuFEqjZ9P53xngsIwpo6m+CMq/zbxAE6sy15/rnf9R7fbmXMBJBL80HGcyXEiDyju3WozZkmajn5q5zIDvPpjFSTn83sMuuAseTfTs2z03lg5KqmUTSNNnUnB+to6WkmA3i6ntqgdPwp7l5t5OBTPg4MwrgT3A93BzR1qEyUVZuD26aHO0MH/1Or1sPlvbnxPEG9H515rZ2NTgUjfz2MCDsp9W0gX20ZneTM1vPqpMiXjFFtrIXeDU+tMBbikyF3LAOF3BRybV35fasXkTqQJc5IuEv2u4Aht4A9ztUmvOG3S+QTz3ISaIhvofjcM7+thqZs5xdmxTMi+C/fxKOjUdnG1VfgGmc/gM+Xk2fa5sV974jvimZpD28FcWcQXDLw2TK9PS9K3dT2aeO3B6Epg+Sf4trfumKnRAzey2sdzUrr5BPPAhZ8LelIuMfJG7/koj5p5ou896IMuhzBQny2mYvk5jO5wQKSEmv+5uMHfsorKx0Zi+lWYvrb3FgvlLds2DGo398OycACvCz5i6kyvpWwIY5I1HbUBD2LeIX+hKlqP1tKPU1DMSM8PcxZ6ZnVGz33rRVoztjQ54oiHwC7v9yrSZPby/84CMONg+tW4Vu7r0fXbqVS545P+0GP/VVXqNlo+EflqAEwsZetUpUkO+01nTQbDmGHjA/3SWINbZSWgTOn4+VNE7gBkuBO2Bt2zuZE0u+Zi4ma1XaU8thxgE3PUDeLip7zjLYSkEm+Jk9POmB9tn0lX9pGXgQe7lX+WofnIHv3jlVyYAC/aAXznpZU8MB52rtZ1P4vwwegFyx53DY+bA+6yG7q2ceezEZZtyZPpjIQf49yTYgs/B+lmlUz3mu+ESatQkDz5Nn9Urf00He2+fBpucuO4O1jxLAbwTqVhoDJ8hI+DBU27FJHfQoQlUlAtzLud/QR6aleBRFarl1e9FkUwZba81xNAT5I/SWnamj/gVDxOwf2Vz1Ky+TrTvSyvelWw7nIblqRlp7k6lM0GsxQfsyDfO1bF2Jhfb6JJR8nPS/g1iJyRPnfAVpRJyVm60qLj+gHU98956nS2fq5AA5m5uagCvX+WHBLx7ArzafG33uUZljaaCdPGN2nsX+BmqQ21hsENs+2UDILqJ0Mx54ojgWS9q5o1ChJOO3DVL7pJUCvXKXyUZ97Ycn3PNr9RSbxTe/dlzID4vSaBDassgd1SgLPlxgijJeo4y2FtF8UdWlMCJtKM4cCPb/zHnbAkjwOeZZ/D2qW/PxFn+w6LzB+R419wp5YY9ORuPIcyrqNnIrr3mwxSmAkMslNfSnTLST6ZOz6+FLZi5Oyg+PTHqMjF9QA63gXu9Hd0Y8nFbUSGHOmhp7czDy78OdmDlAXfhfSZhZvUJePYutgEPnQGH/ohiussottP3rdOM8Rux9RvEC56vgZOK0sZalSK0D80QWKoLPIE+H2khv5Qjh+PaMvzYDr93iFT2Ipri0iI3o81D+vkOmP+rZtNVoU9PDa0jwmWq+nIRHbsD/6sOroKYza2KqQ0L7WMN8d7gLDbIO3exSxAqzPwi3pkZqOTFK99zFDgQk78B57eAVzTEpxUeWYgAuI7YhlmBLqXA96rAYEPb9oQQyxEAqxXswoI82qG7cgGj9urb5N2jDVF/kEvK2jtgbATY/3VmfjS4VI4+J3Tv5s/6HPh+Ba4q8EcC+DobVGs0sU8UG/z3wZ3GnPPeyNi7ed/fEzuwq7CtslXx5n/6Nxzs3czvwqrw315crxpMLyRwhJE8AE8WfPDOgl2tCvlvJfAKEeHIxJGcktLMjmic7dHMiTFnH1xrDrH8ymk8ngAbnoZtl1iTx4q/bj3EEeAu4NK/eik9xCsKdhMpByVGN1YAtjP9M5D3vWQA8Nxru96pC3ZmS1qN0W7Ymfc+sQXsg6wlAx9hxkdQwAPwvM7vTpGOTJ9KLhqLuvErfy1HpzV6gpeDc/fAlt1q1e8M8CbgMskK7CVWDL+PeMafdzM7aQWbTOO16WfwtdilIo6ywYPYlqzZqAgLOfDh9k6DZWPqtwVVr9jrMSv209D7TtzygRFwA8Ak2PT2mZonC6Jxh34oi7+lg97NOe3B3B/t/BH4lixXzhrHPps+fWZPbuXoHzPzB569MXocGXwGHfFLx+wCufvARh/edQqqXYszNx65HSyAbFNJgd25hEKOkqZuWYq5LV3fzKxmCbz40WohL8RG/z02NafmfKyh/KnrmA/zjY3cSiN5+P1ewvJE2Nxk19tE4wsQuUO1y25KbDeqay4UYjvEwzkJ9fnfzHYzz+OvqX+zaYeDCoAr4N4Y4n5fO+pMh+2hCfV3bpcbBXET9vJlG4Gp88HjtMG7Ns7gPZJIvgHvg1yB3k7Ms9Vgf+Q2h3isKXONnS4VDhNHBn/uJ+Hxk54SsAt4xelxeGwdc5ZfcmL6yZcEuCV2ZfLLHb6uFyWIB/nY9Gm8JVZrznoEA9s394YqJIBxlGjW/UPk8w8Qxx+wk//H1bc1t6or3f4lBCYVP8Y2AmMjB6EL6A2QKwQEJjbxhV9/Wp7L+Xadh11rV5Jpc2n1GEPqHj0V8vKQgogjcCwWIFu/GNUMR7Z3ELjJG9s026RXdvbA64yDJmJVPOvyuv981fv3mwDtIGZdAB+cQUM2dSQsF09SW+shvrwE8EP2NOOu7f0kTtGPGDTHTyrtrFhfJd20Bg1xo+5yU+XitWdu6/r31CV9gqn1N+poFCcq2j5EpxDHRpV4jES3heylA8lRIKxXAfq4EQk6E9HvulegiYIFyU+Qr82gB5plHrnKwF9VUXev5ftrzqNv69+VazYK/TcnxIxlBVq54pNKAPUIXy4IN3md2/MRsqKC3DI+nuE92hp4lrpoUcDzEGuID497pbynpcHXVKxWwlG04vx1JvUrmJ1/Hl+Kh/U2gDwaNO4h17+pqw9ygzvepgvNHZ8FNw+42bXuFgh4/QF4J+GDJnYuZMEggt3U1gTkqdc5arBzymIpufXZwrsXppRitZfhMk/ddw9Ezm/ijSdbsw5xMFb83bEzdfWGWj5xoP3SugR/A96X2azyytg5H8E95eYM+dstZRNTRrFy4fcQhxILXOXmlaMA+0F6uXSx9/RWzc2i7DDZecVt57771IFnxyCHRuNIonjW3T0hj4lIo/71AoL0A43TVaYJE9B3Ivqw/s3A6XAG2sLuAX2CnnnVLQ9lpy7HbAncKDbamEvl+hfFx4X1Sgdt60PeYWVnr9Osaw8HmYOvR/vugB+wduUlJgbtTt1DtrQ+/xCvtVN5p4UQq7X2VLhzLn8z1JJZIzv/uAIgI45QSU9/y43ugSdedRcryIWjAr2pZcNhLfwe5WhnRMSlZ/dJfbdoP/y9J5z9Y9kcArTWaHXWru7KUJ2SXBjQ3S8+X7AAC+Xym8aJnc0WKo9sVLuKOEpsPwDoeFJCngOuSu3ea1hjtYfPuRww6AX05UBe+KazedPB/co4efZQPrkp+roJ0A5Jn75i/q5l4eycEfCqe9aLAud06k4lcP0py5u3qsNr9b3cHPMGcrpKsihF+ht0Ut4tgFPYHs+XTxPScOcUxaA7lj0JEbHzboALv95XyTtcHLk5VDhuFVq5sFZQlouY9xAbvHsQNy7huU4lBnaJ4wh+91s7sZ1p9U2MIRnXmyzXIw20rER9szOsn32owT3U3M76IS+fJSVCExcIdHjge8DfUB0AxkixyqIxAr52Ag2nyoiEleOn8FzuwtveD3lMdui0qAfIl0isql7HJY7TI276PcCaamEtdOohh9TZe8lrP+pEbM/npvEqebke8oaUm8QvWz4z0Ng637oakTVozpnMxiv7cWQz6Uir3yDH3Pde7SeP9+sB1iJghauy92sC+hD4obIzAAqXbHVuXrhsiOPv69nw1D2dM7O6sOHkQmzb894J1hNgPnlLDPBPM8ZHiRzVO25tDK2dwtHAaUsRlzzCfeXco4KTAPgNAl7tHDb1uUL1nLTxi8+fspwsLO4APz0kdkZ7G9u1aM+4HhVo/WMYzMWQ3ku5fRywrXu1taijgr8vgB93z1zq0BXEYMsQtrk4gfyFj5vas/O4tFi98mGU8XiqrSdZS3IdJg/g0z8l3vraeqEHjlcZzI4DUcBBgdd2btnfL7wVvgyWYSZEZs+6uUOm54wg7v9wtiJ6jlfa0SkNzR4032t9bY4gaIArdHrWtO7HX+thILumS9wbcAfMasgHgNkRXUPulPFETFwehLF79oA1zZm5S/nsP5fGetv/UGF+di6yFWeJ6HzrW/U6X77DOtrXbTNQoXekuz3rwOoNPhw2sEqD5rcOyVggPqedcaj3cdeRsr7s8nk24DQQW8UCGHxeDGq7c01CBuA5HPlV/19PnWxeOoVIwKGDGG9stp9HHgfrddGST7unWWRTYs96UiSiJIytR2Jg53GKWSR2di0PzSdFJ1+ZE+hYIY527bGVAA1xZj1dJZ5JM/RXO+cCVy1FcD+R1rBapA/gdN9Z14w88H3gLpHwjMgY4GNI39QsPoHn0sxpgnJohsRFc+WMj0IYnrXBQ3c+1b1/rx3hKdyIsiMx5fRVS3ygZixE++wtY8fudrNzxEVID1LEaSXvj6eftCtGYmeiOsWZbVRqfZikbOYsGP3CvafK+hc6p8V+VoCxfkqjRsAf4WpugIuhV00FcALs0OHjztwvH7DQoeGUVF5he3vmxDSQa5ZCbTpE3MYHHX6ngCFVgOHni3n/mNr9XC/4+t2vhgZB/nwQWMvUC867GcjcIApYG699gF8V8VlJQNIovVdh6hKrD0LUJBvrHan4sVXjsTeS8c5hgLUHrDzbt7lzmokxxUnPb3Z+IuTfsIxAMYXqbGvgEoyjdGhK0sWv9VUeOVV1N+YkohclUVGxxqNuPfMQeAr7WhTIfGuz+q2k48H7Z2SA9CMXd+Bm1o/2YP3S5CB+4Pp/DhscMGdxBQ7XQC4ALZc++89fXNT2FByDBjOB16D1t2z48mjbTMQZdxXX92PvLGQw3Xi7fVRew8ucLxJmImmoxeWz6N5vmTk5OvQv9Xr5/W/m08KnnlYZR+f937netLZ+oZUoXD18PbLBLGqWAC8SPmN0Vlxtj9mUl6FmZa9D0Kb23OD2rJWPGpIF8apgZJ8+vSPFDvjBVDO9Bm7dVizxEzf2EuuC+9+ZL6y7DHRTm+EmBOSPWehDDN1sn9avRqrMOHVUHo86787VAJwrV1ZDEzWvAsFjwE4qsvCySOAd1MO/mRiwtn2S11fgQaleL195fnHMxw3kA4gNzDS//5/XfbeUrAetwadIhCdbc7XTdkZJroOEEUGkc6sNKbIWMCnwTQ2MlvbGt1qfS0rgu+15RUtzevnj2LLwU++5t3w5GnIDfr6oeHOwdc6F0GWRG6c2Y1jw5lrPNNVzszp2JMl6FUAMvNn9IOuFDtjw0H2Kqkj1O7dp9sD/QYtYr6eXJ+H+sDGf8Lkiy5a84nZO6r1QYXKVof4shvFTtvq3cgUgpDIqMv4eMIG6dKxEfJN5cidODBjV2Ll0gAs0UT25w1phO0cIq0EhH7/OYZvSwGfYs5/nWvzyAct6tn737NxY4vrJIbu4ChunyhOHuk20QzGD2HiImfvZekrL73d0FHzxrIkOG+AmYpsAHtp6fsUKd4/oaz8KQxw2wLlQ0kKUdUuThaDR2eob9B78+8uilGoGXVpUIQlogEwhmo5EH/dkJhNgA5fBc7+iS7JlDzwO1rQ2mdm6qv9Cel6diLP86w2Ef49gHWSwZhwJ3BLw5U7M6babBbG1j8dId1mIbZ/9lQfxwDp15d0FnvH7PZXLnALt2M/GzTwzQHyoyp0Y6IFd3ddI8vi3lOh1FuDLYVwnBk9Z+OUoSTpY71gIk1VY56Wd5dQT4Kl6L7ovN2lpkw14RzZmlHaqamvc2lFptomF9Qe2+0Gp23m1nGDNAX6Z1anmLy/TywO0LzBcfJP9+x3yT5ug7e2IP4C/re7AjzrC/a2y+hn42LHFvsAmhFw5ZpHCqbeStpZHOH5Qh3RT9nTDOtyWvcj5THaqJeMhWL72HNIEOE9pz5cjPWVeo/h6mWVsi3ZzN9fu5FUDHg8MbpUJUJYNq7rYnvW88Zzb89Z91gMnzpY/FdKu9YLcO43/9EQL9JAgcmCo+a//67LIOrqTndkLZnLAjnP26m3hU3jg0xm4z2/BABcDY/eP7TleoEMHnkGCuJwKPgvEHQw6M15UjnMmjLzB/d6L3kE6XC4Uf81DnFQ5i8z2/SvTnOpA/Vh/T5Vvb0reJ+E1Tt3qHfD7rBIrN5FLA3ijUgfZmqReDfBNDvKAdwR6E//AnR8gH3rlHFxrWEcFX96T/G/W8/6wBrwMxp2ws9Y23AVuvYbnbGsJJLy/f7V0WN11YH6Aa9zJhiQ0xL+UT7yEmK83InrW6bPCA47qAN/YpBzdtRHdzjE3wPP/5iBMjwR+XoVqpNjO/qXfem17teN//bZme+Od/iTAaYrOt/nfpR65/DfXIrCzMfXcnQ8BTnePi/W465OO/h6BXx5Ztzj2k2KzeOXeORGN9eTqlPVUnJN556p1Bata5sUVYusGMbuWfFSHzaqn/R0VIvCOUlmPQloH47nu7PPAP8fAJ8QBzFpPge6bnNg8BNrKep6+6m0y1AyFQ0bCPoD/rVwSCEpavDgIZVjXyGN3/xSR7a2sPbiWMwuc684bU+74BxkGnjLjA/SDlwzpXAEnFrAe2TD2lTd6AvI1Cf+8WdIUqU8BsXzEdo4zPR8kRQV/rhnMWWHnKXsl6LLE9oSF7zeZLW+gjZHMV/DZwaOMPryE2VmGyVnweob8/lP0BNZ8N5P1u5Mg/Mq9hMglYMnKB10ysP4uEyFiwEBebZofPVO2B/2iMbXnNFcmJ1b0X9e9B5hvzxZco8Rgfklgzw8aoRAFLhGgkq3elLNcET6eS1jbr3220s4id9GlQmRXzt1NOIErwntCXaIkLmyN0qVyllve2TnwtCz6KbA+L0KeEBUkZb242B46HX0B7t3X3AMN2qO0zpt453w5PECvXs74wM037cRNWH+a8IYYIvgoNEtdTGsWnCEnZ0+P//6+37kToLI+k06PpWeeuh7ebf70W7blmygu4a0+KqYPXJKJmQJ0mHitr9uzxgU0uK1ZtzXsCQa+bvA6Fc+9/fhocKw8LZ+5uf04J/NzHzQBvPsBrJGFAMbEL7dM6h3nJNVuDddLf9O2m5MQtJ2j/ua1WS9n0CDfBTf7Ym7iZKYEMnheeM132Vlfff2cOQPahBZt4kFcbA+Wa+VxJjktkm7pVAGsj1ycQX9uABu2ZTR6JSZZBnmZO9N//SkXh+S2ppQAb/ryCI8ZmeMCnp2r+4sLsQacuXbhd3aubXJgfHGUW+vJeoNYPlUAzXaeQObEDYvi/c5T7R6tJoELBJotl3Bf5Ya/8qE5ysAXyDSCa1jzZCFgvVD2MRNXP30rdnMBXD+wOk2VnmIssH1ZOub5B8pQnBAA2GpQ8ByCR2LSxyEka/tsdSseEGMnyPevmvYgEatD1tMO+DhwyzHkG9UX3xPwZfVZAV/W0qRiNj7pKeidwteuH5QOknZfdj93d9E2DDis9Wf4Tud4LlyUQLwgIfFddwgTvHrlwwMDbcj4cge5cFt7MS+Y7mrQ/8eItBT0InGpsn1SJSLiOd8Bx6cjv934BvTmN6z5bNqVbvMmNsYpI+Lw0P8ErXHTUijQ4J9HbF6+Pabsb+eKA9/L8Vb3Fi+3i9K1+0npbY/UkHjAWwLfI/3T4y6D9wC4wq+gGXuWB4sMEwP6Lq43qwIyM/Bof/2cQyhH0DHxnfDLKw4TJZtD1k2i6sgatK6kmAKHG0ft0W8ZFK6S060cvhxYh9cqgNhy0UZ08UH885X7TQVNDxKfBJ8gX6g32/upZ1OmiB6SUI+gkV7+AA/SA2/nX4+Ciz1nSpTe1rVnWM/+yYAI7qqkAA5eurGqnv7mFreR9f5YZG0clVEAfCVutaMjGsYH6z9wZKLU8MzVAJft/NV9xSlXvA6azNanlYZesijwywGyjqAHJhfnxGuesxgV3LGdl6UdWzMHeA36Uvd0V3PAik2MZDa5We/fMhHnx5CwDAlUDKezDO+X134vZ+bTerCVeXNI3cIXjwl0gzoAHzoDj9kwF/UZplZv7UsMulLEd2ZEU0Legmfv1JDrSef4ys5O7hNYr6st6IVezCtcdXYuePPSX47M419IstbnM82G7Z0CRgOmhSq8+4BdOW1NX2+wZ32bFeIPNsQNCesr8PrVIW8K2SvA0uesql/rFwe/j0B3F8D/Z+vzZOfOv3phaBDvjoPuBWB40gnQNpCncqVEP16B231CHrxVbTqrDV6U3ZIXM50OOCYKg17n913lESFC+qkdKiC37bLewH1t3TLAyp4ZHM2fd/oPYM25yuMLrDFzwIDNdn9RPv0JkIiCKwuFqz38Q4CvJbMB7vQFms8sWKdT0S195qCwDgWuwzuSGMNzpmXi4TP3zCpzfXUI/dd9CRIiJAxEO+iiyqM/so33vJ+2oP/7YlbbtG2sy0iZmPhGuC4pSh3geX65MSl1UZkMuqFhMwNPbVWL95nRe+AnJdmkNxr6oXbJH5/PhtO9lEt41/6DQjxX3bQGLvmtUDMq6SBm9BWi8lHP9fkQqRU8Kz/p7ylBdla42dRMhfWs7Xxip3Jxywf9o90RsBLyJ+TuvSP+6vSSAaPMND9c0O65t4yoozfdtcpAW4nuLKPmE/Rlzjo/LJxxZc90eTg1wFP8EuOHwsKjgUmBc8W1FG9277qKxkz146BDKoCvvOockkyM7dP7N3/uu1DexRRyrfg3w0PYOWPF/3gs3LhcMu6mD9ajXsoC+PHtVjiAy//mXHxnj2kj2+QB+qWxe4+s+9MOZ8IRf3qstiQnHfAJ6c/VrOLKKxCV9wML7ttU4DVrP+5lqArghvuit/uW9EI2IpFSXyBmLlkHmt1dzonUc8HvspBxZPN3tmlevZzfkIO2otc4ZSIDrk1KRzQ7NHqgU622TCDHO6A7u4RrBRokymS8rjBxJOASF8QU7mXWSJ8zhr+Bw1+PzPIXqqw/N2i/VTX/zfJLmQdRHo6L6jmDsAYO5UuFv+YDv4FeNoBFwNOBn8lIIZsngX8iwMMd4DBkvqUHeFceh/EtkyguQEPvPd2qQS/qEPLVxvhV3rzqDzFzAaeC5baKlFSBOZPwNCeuj/gGf4sWd1WYPipuWsjXlsuFR4atp+QvcKlS9vczR3jH5HKuXHGvJXqrsyVLOz2QYZVUgWC2D/+1t6yc+063ySLbQBzwpa1RDYV3Oieh3Qs9oXqmW/09cUiQ/t5dzHUbeE9f1PkZ407SatDq5Jt1xbXqvzzlLnfUdG4WEKVac8qivxw1sUH8lu7yVhnxS1uyZzNupVQ5dZehxKDDAgcdNyt4xySxfYiJq4Dsmk7n6a12AacHMz9xfEgWPORzab5At6Cb+F4i3sddIfFrLXtyEKnMuQtrJ+W9D1RlakU/XXhOQ4EwhZgQbPOxyLgmx7C7l3lyp+77jaIPyL/izfpe7axedGnBZWPSfvnGg85JBzuzJgUsWr5wWZIWWEHIPRVx0Ez8yjm/CufrLFvcVh72EnfxIOJrAfo8OQbdWbUaEGMpARcKePbec65ZhH/0Rt8yDw+gL/eVp7xstjNDkmsV/vEoO+uOkwhn1J1QLQwqHeAaYnUGPdsljpjL/GRxGoF2TKihhzL0U5Et42oAeu7e/8NpcztK1GRwnUzozd7b3ojr70gP5Dn/q/tCMvTfsr6GmI/hntGV2lmgqLtXnbbz7t9gTS2YbW4R6iKNBv2pgrovFnVv+23j9b+6le4KfN7WKCnIWI/UG61cIYCTto/hVQ/wc+zGdd0SF+LW7pk9173iy1yYwi/79LFzlp5s9aZw+T0bxkPt4TcpxpkYkZV2TwfH2J5p2n52O19Z5OZXPP2qx4ethIVn8uK9F9BbM4soOYT6IgxVlbvE2hvXgC+yQmJMcCNTOQWE+6xygKOBlsgETdRswv1s7pCfZNHHsmDc098XO7fph29omzhfN9kZ4Bzm1YMAefRyPURmdwzQ9YjHO+/xFTSfAuwThKVn5gRnttGLwluFpQf5zdC4BJwikQJuPtq5J6RaT/khnAb+vTxUfHrI0JSZUYdkEPzI/3pU3Qx0RxbEkL/JANrSnsGkSqyclAHu54CWfExtLddBjA7LV65mzVslhEcCeOY9vE/Id8DNVkxgz+a/cqBFPcS7BPjyAXK1rWt5PUMd6hY+/5M5MazxUWWhbxQugE+Sgs/U1Z3Y0BnP5LH8THmTHrn1A1hZn33bUwca+E6SbgF5sDnoSLmJ9ZwPzSoJ0T3Byq17/sJKX+ExSdrYztJ7gA7bqk3qg+760e1qXzyWowhqiMnmxlvTgHYNGWStjAn4LOeWoPqusYkhL61Vvl0oWVxZ0JyL4cvWil6Aa8VEmpcvsce97g7aMNc9MTzQgfUZ3M/JrBl5JM79J5nVr5rxoXK4C9iTHoImzvrkfsyf9aIMMKDLeutP2/wkrPFZH8NzIT+i921frASu8+Ki54L7ZTZwWP/bcwnZKWPpFXBgTTlhpau+xabZ2fmsYviC7yJJ1fme9YEr8pWdPRTQmfa1IBf9P/55wgUNCHmqckigZvrSlS4PCw+uf0HkxYf3WUAOGpOArIGLDXW7XWhJmswYUlpvAFuP3ZtP/ZgewK3nylDre/KwcztFN3rcEW79WNrZCdOxja1/9QycLfqrqTDjT7JZKRl83e15TWb3tLwmhWcI+ENtXWOruT1DnNw6WDxqF9YkwxJ4egh8G3Qrptn3MiNmVQAvuCW5RtUcnwtBSshH1mvnledlLYDTRHQF2qzLAuVIrFlhB7xk07rk+srd5SpzTr6tT02B6+hcQUyPpHDopQrjfIdWV9IBTgXpmXjmV2ETKQb8Ok+dA26KnVu/PBZa5U69ndkB3O9Qh6jbzU1jPYLgud4J6L7aucB/xw0HTlYMYwI6c6haWGeoW1SBdkAv2RrEdgcalhmVyOByrTdkl4gvh/f6U3b4z9cxnfGK5GoB/PqsosIrQ1hZoVa6jxvICdkxmybAsGsWNOskSs8H0ANKQrQ7S5RFgEV9ig58Cc/lPtm+9rS3NbzTlW5IA+8iSOfVi0etSzmlxwHWiFWUuAHsIkXmxrdEqLFyEdp55JbY2eX5h8/DL49Znw3TgL6Ez0bmVHHQRK6P9y7ask3qpqxwix6tJI/tbLlHFSQvrCyst07d+wdtTAo6yxyDZqu95iQi4N4ebaxnaurhfx6Tcml2DoFsBul3xifaQX7Ep0faT5EMxXfqTIoARhXwrmmrgCdZb5zptafX1QM92Pmv/51pbTmm8bEzXrL5QCRcrqj1S+imX9EvnSQX16SfGhp9LQD3P8UgTsDRL+kA+Tq0M3mWW+C2O2Bc8D13XLl3WLfxK0eRMkSQ18xZcoj52fqtNMzuw4C+K6VsrrbWpxb0KofkBmtrEhFgCFPs1ZfD8pgLDtcp4h1BAfBHXB6N/mZhQ+3PGPurM9+l7jQcebOrHKCqkOOOgbbeU8AJ3oHHFefS+gxbfynL57Ml8FbC1DDuSlnY/VrgACsFz9OhgfqRwrwdc4itjUoTDpi4iacMsPm/73rqq5TpzTEncyanRHSLW2rU9mj7yYN4DzjMSwetK0ZaCTw+y8etZIDN//oCVlkXX579YqxpCzme0h7iYf1+rYHRErg+6v35R6m6a1bWy/TpGwvcLemMKvI4zNYTExv8I8NxXwzUJ5Eu1PyFgKlI65WTzORXt1+zWr/7WcjvSe88rPd2KVZjwpdhGSyuxyDxiPN3lk00Gk8KEYszNz4Ad/X0Ft490rNobf+Ltr2mM97wfJUA9wXtjgvgFxvAl4PGxdl6MyUbg2U/WqExKw80ch64RU76Y0RHjj9e+sv2LuS0028Vooytp20yN9vDhqwg5j3QmA/IcU4xBA/KaUy8YsFa7pGZbPcP4MDsawbtm9eMbBOmLsLjM3HH9SEXSjg3NzF6A1rhv1rHC7BG/blzzVT175CH41jzycvWS8xw0zBD7rQ73QCnMsiDBO5TJr1w6rAJmSecY7bsyabzDtnF+9cLmiLdOQhiO9KeehDnHWnxh5VP3itF0x37y11BLiehmejQDHCvPwemLzxojBBioftpAn571lj72oHnF+AF74qz7A3LHst1FRpZR2No/X6BG/TEeXoSYntm+jr/ytDJyVx0PuKPRT1ofAyWroAVI0PQax2NpVntysCHtYRTWGfffI5Bty53+8fFY454k7Ym08OCPy7OIYR3/v1+A918hlxj560D3/rz0iGgExDwWp+F2Pbzgy4RWbKezoJPDmD4zs475tYXyfb7h4HHjXjW00DcudS9E1iLgKvmm0QNOUT4r8bsEJ1c+M7BarTXvmgmaQBxxdOBjMdBgFZ1FsBb4/1MnGqmhRbJQkMe5eLj/G++fCMB//Mkpxx0TKMD8vPs2+i45eWIDeqShPgAem5bde9n3b9qOOH6e/zD2OpXO82l8HBxwIRVeHxknbkA/ifEmWDVGckgH1dhc60BA21vNON3zIKxsT7FqXvfHTZWmcUN5E8HONAvDcSmdO+oZup1TtQTGXuVN0qS48zOvAOO3vCe2DjytBM853nVWCVpTwG1gGs6KYL4vNp+OO7Zc3icQf6QUtT32h0Dyn2UzLXHzBfo7XtxDP48CTG8U/8AeffI1Hf6/e7XCBgiD86kE7ZL/yzW7y78/CxlOgPf3JXw/w+4uxK2sv5R38dwckTgOJCjSmDJbhXpve6A67RbrxhWFkdes03vpTNt6kAE0p559QuvzpUDPOma8jHTweSUghRMpOe983XNIN9WDpUEdPGzn8zliGbwTpigem7WpbM8/TuPVlsK+mTvTP3+/3y/r7AGb1kvnnNEnjMVzMqe6VEO+kPhJuLhEvBqvKateaud7RW4H4H1zES48BRgvu4aVpqtr+fCk5GiZQixHtrZrgLyetyVbvD6rscONb98/Q78sLjK3u8TWz8MeSwZxrbo9LoGnqqzpacG9YB1vbB5ADjX9zEaL1mQzIdsgmdXL0Q4TaBl9olRa+DxoV3rIrxPu5m/zugT1tuZd+oE98AEN6tqVmk5jGHdJjcB2jQRq19bh6Vcs+VB8sgcZWfsEiVHr+KgbbACzqCdRIwpkdO38GJUGVMewsBV3el/6m0uzs5dbpQhC4U5vFfzz1tHiHtm65exuIMW/LT7OVLQjbUMlR2JjuGyrez8VculEHft2WTRLWPiUL9wp93usUR2Bl2W033m+i+sTP71XUCeGdRP5eId5/5baueyC7MDHgX3PO3IhkQMiZKGy59EqgE08qw9sqha/cu7JWjzaSc828PJH3bODKxXk7lLVzuTPSN85d7IzrWCnGqq4ePOvVjKAfDcjLvC6ZzazlAKFihB40DbJkmieMMd3/YjlHX47NMQto5PifjEIts3/3Uj8G65PYPECaocjatQvOrncyrw27NeePP0DvtMWW39hhzg9cXTz7elSrJ4lOvLWbsK7vu+Pcrl7yFAPQf9RCNt/RYG5qK7lAZ09/K3FuNURx/uMRSP5K9HFfgz95vaaEX68Qw5OLMztlLAIzUU//y7orHXcgnc/Z6UkIdK7gCn+rpTQ+ZqoGeCKfw+/gYcAr3wdQb+6SbRiMgwqmSOuT2bfvGNI7Yz7dSDGjyzdsX008eTWl/iTIfNKUOpU3f8WrSBQ0J0pb0vrHdGOpjb8XvZloMa+aZ264HIKgfcHlZ2hvasWxyV8yq3+4Cv2rkdvJcUchHwBVG0Xx5wlTPDeJP0MeRbKnXvZzu3udM5eIB+R8fodMuAC5c92hyF5a7Y9gLMvMN70t+BnTiO7u43seHAOe9cRfGrLzsUfVwksjmDNr/avt2s1bbHix4l6lNv/N3PMam+3+cajZ5ym6d3h7Bzk9dLRFsywTu+ZL3pjx2eDmGKYG1eeY+yGpMHk9OeRuRVV5mCtr3VXtxkczMnwMtKEbdyvYxISBDg5e74b5aHX3gkqa0vRYt3dW57lRuv9ggldoZ258eVR74rJozaaF92yULZ/m1nceX/d0a/UY/lWQnRlG1srPcmB6507NPrIaB9IsX22NsZ6SevxhpwgyMZTj+ZUXaWnp259ZyBUUeU1LhGUk6H0jRxtYlTLacBeOJczHp69TuUWM1Jq77lpphpaz1gTV4M8NlDfS/Q0+vI1n/+pnNzOoYkBU28t3NgBIodkT/5+3chcWB1QemoZu/e34TA92NrZ42+oyP+61+eazkCpgtKQaOVzl1q1EjIIwXhwO0A5cW/HrqZ8XhgA59BE6xBR0nQyP2RfS3qDmOInxTiGNuaWB7QU2rPxje0FKYpKv7n+dlJRj4hj2zqUGV1NxEC2kK51gdLxztH34C/7KvZhClwWsGXAWDbggXGOeaiPXbkLe2asXCdcyoMq01cssjMpEsfoJtvkONOkM9f+9iOmD88iKnkaNSpFApwdilT25foxgf9fXEo8PUatECyXua2PqAKg7twT3fV44Ngqx8FXFANX7ama1sOdCFmcyJ95ybu6QYa9O0o7y+9nKZs5RNPdTrQkBkXrq1HJLN+O3b0Zz8rSMq6YL1fEibeaKB/kll/U27WqcQ/to5PBMKU7Wrijv5k/fhpc2SZm5bCdxyDGGJSvzgbKxB9HFiMgWNi+Px7IsdI4S8PtOYsUOHUAXwnMMECcEJubA8+6f6dicT5Mep8la+kjmJja6rlxkDO8WGt4gX8TUvCC0p68+pDJGlO3kBvZkfuX8ks7EzkrAw74IZxBFr3u5qJ7fd2aketQC/uCT85ys4zCL+uiol+NzdPX6wsuK8hTyRPP6MoOB/hb7Jg+798/tn7vHfe4friPDVjWAVqKuxsVdakfGN+qOR+GZA3DtpUCR1y3p1Vhx7EI581j5/11myzmsRMvytPPOeBVd3JVWyFErYF/vXydp6iCngQaO88Caaf1BXU1s9QIaZaxk+/XtJqL3F9V/ekOG4aTnGAAG9V5sKa5apJ5gSBLnMrh5wKwx/PdxsmV9BM5IBPgJ9/Z1LekWtBevTgiIAWFT9JaLyiMx3oTFUIcbbz8fiA4Vl/2EzsFw4V2o3tLuBotXE94Kjo6b/1x9QvcP+odHHPHXP+//wBbB/v7RDoQ9ZSvEMmKGe6A025rvJkUVmf+3w7s+40W/4JPOCnFuKtYrBOZlP823sW9wrjq2zpL2PkkLpof4iSR9nBO+9oKf96Ri4zxNhNb8wM3x8oN77Vdk4dA8wMVVtForP7HntUAP+rfbIx36ANAJ+Urd3iZUSwAG6jc/wtnBPivb8gDr+RPCa8rxfUwTZWXhpWAs+9asjb2WBoJe1sbe2IgVyYJE3V366gKTbAtTcibGxvi5dF9bnemLCam73Fuhp45YHbvVSD9493hzjOWbbN42hiT1hvNOfPrzKvEWj5PgAVrto61CQDDl3kKuTr5VzCvy3mjzl5TExb7x+3+7cf9Vi+aYe+Ucgbe1ekqvOT2ktuqnv3kw3Erbx3whNFlqeoaF9zOS+zFrY3g7qgx9FuJlPRi33ivN9p3nyWqNlCDP5S0JGA/23Nb84xNOs60AHExIoGcI0Bv0Pst5QZmnXYzqHepig9M9sPOqg+A3x6YQrNLlfb+545pGVOsADdmh6ByZfR1ts/pk/9vUTJ4/0G1xMm0i8F0mHBjAFt9tyLBixy9GZ1F0Ivjm0ckw2NGEQ2DRHwO5pJg1817ZuEj76W9A1y6U1zMu285F4PW4i74EHa7gy457OOfDMs5kxqRQNTJuvLPYnEFjj+9j+NBHkP8oYwp9LRb4nRGQENUz/eH9b/9qX1YM0FDLg88cYH6IVfFhKTGuodQtvTY34Y8L3MuZ8Lbkg1jCXvx6G2GGLn2vYkpTnZHtfLTxIqxLj+JsBMsqG479yF9csAzfrnD7ARLPAYcO7aWZJKLh07LUJuyD37fr9mfXFVnkiz8PQoZQKabHvbu8umlnSb5hQ+t1kUsFYT4KKZIbY/rgdOC3EiTkkAWmwgW+K8+r+mptzEN3gedsbL75E7gOm+qOTlztjHQmxIL4aVOXYq4py7BbJ9ouQ5UygLlnfNFaltv0m+OtfOydZyBwqrDUcK/5tPLx7w/l788KTEijOmH4BLwEdNwsIvdIhMKaPtmeTdo+qWFDjGhjPuWQ8z0RuStcJXod9RO28ktPPXfV7mhZvJpZsEIgd+woA//ZSPKa3d4JV7vwtzmlWE11x0ftH5bfo9Fft51YtNQxjCn6Du0X97pgfiii2sM48Bjsto9SZze37jgCbCl8wVRZHjtWxBwQeCVe3Kp50vjjl+9TxuKjSenn54s/X7ITfWqZlE+gfi2ClgLZeYQBxOW1jpsP4SD3CY6BB42vcyKgY8JY7YJQO/JX0zQU4BTOuuwF2vh3BxPQBH/h/vPq6Cd0dJRSqrE0ziSXxC+8dllpv4W7dio4fVZ9WDlnSVYeE0J6GixAN+0YOezOMFZ935wO8z3PuCePW9fix7wpvO5qu91ygSieAV83roEORpunPGLYP/gd69Qjw2lcQZ6CxJB9MxhwP2mRy03aLM40Z5OLY+Jnv3dt27/JF1YkhYDPwOHw455NLeah+1riACmffy+7rcCldTJpGdK3Tlm8Il3xMn+XhJHbKHv9+XuXLYEJwPkcB1xO9aNp/FnLoZ6C/IA6yOVkkS6sXOI9ne02MyE0hXdg9g1ZRIp8yLX3spsRbweb2dK1M/ZKt/FCO30q4Xz6SMo0lJehYuaQ6Sw7uAJzckDztHPrEzjeWYM0TzCtuaqfHGAct44A+SN/vERW+ZMYsM+NurhhPu0c5ACthGCMloAeEoU9nwKgoWoCdVtjHn2o0vR6u7QPsX3N+WrT7BGlmQx/tVhvx8tLOF8u58BOwGXgLJwOwSeXpk7v1HyfR17rC1vSn2vSZhEwrHkMLTv7ozQ8aX68oxBXAA4FK4qTvgjebjoTbd9Rj4ZT3EC1ilOxHZeX2pR12yPkb4jUsccrnEgDkHishGBv9Xz1bPH1ct7yWTNTq2eKic5oc5BjC1WxT9SERI77SfzjWztQT3Fffw/r/6m1+NxoaL8bfyNM6C2FNcqMIdo2OoQaMZ4DrFjTriVeuYVHjFZH66Vi2WoCW9A0e7PfpyVY/eVKQS5aAVvNON6MfnnisX5MRFTLOg+STr5VWvl66wMxOCqVOmGVmkx3pQkneAT9Io0tGX/rows+Iib5qnx3xHBtktb6UBxc3iC3OXBzvXW24wBU75nUiEda7Tpy/CrJI6WF5Fh4djPiZ0BpwG/se4gJgSDjzjTzUrVAHmv2pu9zOGWFn+WB9cOmiWdeacdPeGtXyuzMe5xvh2HIB/dRjukdu5V5LneJuyzu6dp3JTL0j05R97sQXudFWDPfsAHejZGfX3XIvXXJgJcEEDR6MtD4TIhnqxs3M+AOVkKNJDpHeZhLxj4m7n+p9Fn3h8KBbENWjv1Y8sm0pp67ZaA/GbXktT3yHDTcDlQtB8v0fZZLK/v+qxh3K9tPOPmszWC4XLuBarUSM1gUYE7qvWoFE95Yis4ig/hIoxJiaATQrv3pHAOPUA+b+/OElLUdnruID8TKPmJ8lByzvkN+HTa58tg5zd13Btuv146Hm7EJ75FjMRWag6iIct6283uIY96AZgEQnKECllF0NOoGliPdqZ9llez9bjibSg193A1bPJCTwLgdSaB3+9MLtDSLdVB/HarlDt0uf5/lGsSDGDjvRWlj8K0hK7jqmUkGudiyfaLWDpygdeHkC+nwmstb0zodKsgJ/rgWB8YTy4gq4GXfY3j+MgguRm68+E8/QGTun8deae+n3OIAPCAt+3OGQXpEJ4j929sOf2x7C+Vbk6J86IeZ+egWutak+3lT0rhwx8xHrPO7Mq+3c7c/Q1S8LPhhVm7njns8barIiQ94H26FuAbhTAzBIpQDuS7xp9zMfOpATehe3F2s34rsJ/c+dKTteMTy7wt7MKmzvjy1FEq05bPwqI5b++AO6HpTSLyhU7wJ1zKSiR/QjvQkGem3rQSaMwipc9/vMlq/qFXwf3U8n92xPz/vNtB+553rmNlEHslmIEHUI+OdMvX8eFwM1Oma8rsx5Bzz7G+CC87bzzrNMKfs5I5oP2ytDsIHd5h8AP4FmQrFs+vSsg55VHIeyMyJs0zQ8dmk1t8Bp0WwCaANhq8eLzv/ZZaUQ5d6agFtjOkfnn2eSqUeDxTt3b4hCgGdZGARxwkTiNx4NuUXvAHzkBrmb96dX+kOur9fA+shTtnNO55IKp7h5T/jfruXx6Y/bkUW2aB7N70t7qDVSOSPn9amtUZAcPNURrO4NxN+s89Yyv2/rKcToTz+DExcA58SbJyVwBxyNOTEgfv0GOeGiOspIvzn+xEcF6B6gULYV/M0Z0vdzzDRFlqN7g50httveka9xysz0/663X74sjLkArpVfC4zfdF3bWy3cWUV8Ymu5n0qqINM+105GfLMIvjk2tv2vWcT917oHu8A/p1FDnjas3X8Bb4rUY0nsqxE8pCcnW78Clmos9v9QIrrs7+YCXsJaLK+vNlThI1BLzVG5ngYMr6PJUcfrax4broAvgqLwMliuy0Z/HgbbaWL9IuN52e+YbgUr25YDayznqbtmgLkfWgTbCn1wkt9IbWcWapgAukH3beegxAd26qnt0P9pZWs6X/zp3OPaFAxnVz9wYM0RuT18d1/FtffPOWdoexQMbmsHOVOYmPtGZWK/nsx6AKwJGiPXFh0zxC5zopx7GN4a0A3F70d2Xwzkqj/2fLxZlgX8WPFnokC9qeUdwj/skwLJyphPEyB7iRRJMFlWILkW+OkDeU1VECju/sUDjjxDjdeepm9jEhgLvTfNmsr7EO1et0nmVZDl5ra9NBvydMxNkPS1qQQPm0aTs0YoK81nO4qSF9jTTLgtqiMPGKxzIYeH9LAWeM9CayffU2pmfoMGAf/nXRNj9VDsDfglrWVwht73ORp3CCCbydK6i2tFdATm1AY1+cTVWZ46broD1K7v6Slu6PTAVky4uE+4zmgtb1/DfHHEtgWfeQf+/Zc60evbteDHStvdsJi9M+UwdTQ7AsfWczoWhcQ1ai6LOpxANGe5mBpichGhIXfRbcyFsvRPNIY8EZqVnkZYtnYAD7AF/kyogE43SG+jBUIBOhrixcwNfPOpQ2VmanrL9qQ9m7HyQWNnZzmU/MTmsLjVfPtLB/FaB9SroUGHnGzjjCNe+Ocr3u50hWfXLXn9fHtyMJw18EPRFIvnEj5zibPjz4mYZXu1Ul6JsA/mim2wd39O7Qxky2P2JylFOMnz5GZ/6g4R1jb4AVzE8e0CRrlkcIKZAJ0BO81MhF6Bp0MQhj8M9d5Cfmww4zn/fdU1CkgIX+a2/35GdrbO3vVDRWMr19Gnrq8phjHkUg27Aj0TQbfJ98ex+nXDu47OXePhagO5Yp+6yhXf0mdgJI5tVyBzxKUDbCK95+RElNegcBtqGuvB+8zjj3Q1ZZ2J4ZpC3rY8jgHi/ZAo1WQFYrB1cFt8Xv/peEjvXoHLGn9rxHS3JlLTYzxjxM084Mty6FAFHz//62vZ0GFHlpDcSLDeps1RJNPI6UHcdkYdiitVGLyAuGmp0cwRcPEpMaG8uvLN9j7rl7juqcuPRAFP4u1i4RgiIfdE7Tm3ote7Gl1/KtQqbTpqvmTjLc+mSM/DyHc9FSaXtY6jPiTfaGZHmsDGd7OMbddG+HoRbwFqXw4dH8Xhl3XgrkboyV3wnDr+VUeokgWkP+ThWwHpe+6I8B93ejQnDo4JYcGREP4U4uaAZVG09bAeSySi+0IHKur+/1ZsPW5vf0UDfhaSApV/nzPs4SzMGlaidxLF1DveiYJoX+ekh81c/7NRlPM5kOGFQmta7SFSb7pH2Ct7Y2Nm6PbkBLcmCK2eq4ML8CHj3lgsTBms4WM7/1jK/Hez8nah5A94wWd+wMkRvNRqvSfTaW74guKcD52NWOsAju/Hp9QbPCOJjXFUDpSUyiPWUCWeJ/49v+IZhEmZ5at9/zofVvQK8gmcx1ggW7AZ0rItWal7FjJEXflmMCo5SAGIA5jrYztm08w5RKe++DkRTO2ME+RXonqCgNXeABz3paVK3BmITtHvetIkhh2OXLMoAsNQlKUerQ8YgD7iE2L671x5sjVan0vE7UDFOYhrg94Bis6Flb7a27wDueaWEKZkQHuDFuPMa4IbPfrmrPd+0nqA0HzNI377a4HPZjyfg5hn9XmZHrmc56JfXhy83q/7I9L6ag7OdO7ZH6tf23QsQy5xPq6d2kYQB/p6LvrhmQ3GFtTrrQfWcESf5XvYkf87H/qwY5aRH3lFANDtIqh6vIUbQa68S+FNResoF/euy9YTg376RiCDdNgSwdV+3XwvAl7eDHFMNOdt60Zd4ZTgGTdRiVHhxojeBV7a2ng9+vn73bZ09xR+POmp6hf96EC4Hez7k6r6OPlAqiFciPNKg84UXLES7+rS+WcfQvKUOrF+X+6K/c92bkwi/IDvAfQc3twSdd+AOUhaVrA+JqZHmy+jIVjvW/e0fhpA3b8CReWVrW504l3afIAgc0GIo/Z4ewAkfOqfW871lXvegHhbamYBH2feqxCEQY+kRJruRJOHEuBffyk7HpH+3fZK/x4C+Zn88hGiAg8R3NohzlY8N7ZJb1hcIsvie4uam1kv4viXkADJqF/nHbpxqr7Ez14DXih/gpp1k8VvRCnhmHwvmTHuFVFu5y7B278BvzSvPB9olUZk/e9eFAk4krWddF+9ooHzQHNfUNUXdLWkm49Mh+LrSufBFGLug1udkk8yJwR517sBFg5l6he0ZP0NOzUusxkTErWjFi28A84cctjEH8Z/m2dua1LkGMFKR9kALOwiQYfsASHYZpqdj6PeQT0BrAVZGxmThCM+LnLMWv8H9CcHRDzdqC5wMOJA91yYvPi9Fbj2BqKfYl5dIw7NNgznCwHXtdNDE8gKVOL411r5D3IA2efbrdYewgLelCGUKLrQ+P+fjPHsHY78STcYAzUTnIwZr6rWXUqF4kMb6eOt74uimGHC7By3GepSWgrxBXJ0JsKc6SvzSsb7v/lVvjFu696sAfAMtaPdtEHXEgm50e9ykvrLzZ/BqXxjVVMFfn29BOl1oBppiI7KaqwsFLGSe+Dx2zW8B6zfjtCy6e1kgs0+kopyJOe2Ag9hZIWEsRTZtn+eo7sIF/P6sgdtXDPL50PxCvl4U5m/OY8DEytafThI3QrLVm+yVrHJyFuESiIARqdtQyH2m3uC8/p/9jiTv5qQbi2pQDrNzagKc21pHbk5X0DPd3s6VcahJcvPaZ/vOuLgWrmghDs+VB3y0PyFp59tsUleBJjiCPrF1+gdWX3cIhwdJG8CoWQS61Z6Z9aahqQSO7BkD8TfY+sAdAj0tJ1inzUm7f3r5XHTL/hAGs+6V9ZlXLLj3ZX46J1IPaU6SI3CCpJsS0WMnAw2c9TqEXLsH/GqOeHXZOwYDp2kUMismp5S5yzPwK7FHJ0Tb9A4c+3Vf7Q6tIr1e/qY9utIudik8H/KYFsdBpHAfV9Itfw6RNqCnrMe7U/d8Tnr6VrjLhzCkhOdEqQP5thUn6l5upUOBFRJasNgALqxkoP9mE9h+cuAJfrbhC9XXD97HkoSNrEXhkuHrCrknquf4DXLdjQWqZ8BjEoiHZCPiMmh+jhudEdQ0chjzQphb6aLneUoiaWlrcQX+eu0DmCwSEnKoq73mzhx0Aj6FM463RbuC9aQT7o0FcKZT2jY/8JyGVMSdmLViSCSlg7Oivzk8JwHE/aPqScOC9wdwsDKJBNLo4ywi8XqGmR70WLr+iYfLPOuQzzulIAbDpAVNAhr5kCur/ZAMKGhgOjDQkce+2SjgJ1Wnbe1PUDrCIaHYFYMBHXxfQMw3EKsmcWMncW/OqzYVnsG3PQdWCPItxDT19LOnAPJ3WQdLB7JZWKD47bk/aDWwnX/Q2TxNBOgC64k8C7lEKrh49byK1Iyjymu2gKUp48t+742v/fm1/l6eKqNFFXS3P+4SLDve3VEWqIPg6gAcJz6IVZvlOshmYbQR9wNbNXa+yN55Px/DO65zkzB7Lsr9H2Lnr7A4P2Kyr3HzqiWWbAY+ZlS4cxsm5W2xBz6lMtAdzxnHX+7O1s52wGUHAfwd32oztkkHOBoZ4Iu01OG4IKahpCMb6lrdotosakaamyJzx4l0r9mmEzvmRHIp7jxEJJHoM2M6SHKqhJf4FUeAvfHqX10lyY7BlGQe2cgIKwWcK+lQkjL9Seamt/vz1jdrbyueNwK4uB8C9xxo/lenB5y7e9iZBmWrW8jnb8ruR3ZL69zkE+BvsD4CPigp+nEo3ObnsKEjiWhWeltPBvcgeUxnWwNBN91ctp2XPJab2qgnX2GB9f1IXt/1W3T+DT7rWpjYAc0I67c5lFGDdUtcNcc/FSMLkif+DsUPajrEjHoAB0qzYHQS4G+72aysp2jWQl7uRcMMXShzOtPej+isP2v5mqN6Af0vgmzAa8VwCFczlO4NJXa4m53b7pkFxLwUwyq3XocMN/fS+qh08Um5k53RuZdB7Uj+xD9HA94yEAbAfdcZIg3E9HdqVq990SabyanC8ZzlyS1FZqMlhvfSLUrQ/GXbMHgOcRUu3aNUN2HnX4bTr3pYPCH2sL+U3eJxDPGBz/GUQQ6x5zuVifusXQ2lnbPIXjPvLk4pm4GJ0+IYIqFn+ln27y6ZFTr2ga+x2Je42WtMm4JZfyBbu99APJOIc+FLJmgZLJwq1CVc56LupxLWAWY5YdUG1JEokMrFn5cOxMmCu0vEIJ8lAfJ2TursnPjnENBJGborB3rYu7BOejIph6yrzofHHTcVAj349CmOrSfWRXbLCDhGqRBdHKL0Crnap8ZIW+Py2nNInPhq53s8vVZ4et67KSKQi5mIH4Dv39X3tK+81RsLaQm495Ayfmi5fMtwtwB8GQpGd0lEWhmpMpMjYt/LQkll92WePSLl+vLaSzlrexaxqUEfrja1LHziNuJZ02n9fFs+1wgDVyXWty/lfBkAn1hoh4JWaH7LvllLkcyg9xxpPVIiMwtm644AA2Zqyn45pt74qtV/MMiswMNUgQD/QlQ8Z6AB30kNRrJDa+WgTxrVV8DFeOf4PwLem5QizAJdyqB5S+yMr4iOdb7CZRR31UYY9dwnaeCVNjfaoxcXvQt+F0c5fgomujTHJQ9HziKRHgN9AJTLbV+xNHQl+dMzLQct+w0aws4NSsp25UhJQ+CtZ2F9CLs7PCFAUIYjeC/z3o3DEvTTf9/1SLiBa4e/zLe+6ouzyvn16e/6rPHjZ94X1rPEzrNakKjZ7l2lEgS8BPIrx4RnsD44oMGxnxZ6oKkyIyKcQs4pHGV58Ry/9iqjY0/Genh63GbKRTdiPm6sBS7MaodIuw+pdsee34o+Tq3HO2ie825eDfV66oBbpzuHuIlHkASdsZsFqF3VcFfdj3amQhuzrJtedUS/mWyaBAueIb0TwLeO4dJXIWhhR4sUcjVH6WKPBOXeahA5Br60snNZUSLJACrtAu/+Blw/Bg2Qa65vHAkF2BYkruqPrfVg2r56EE7wN1fgV00J6zbt6SNxFj7k45vuu7NGqzVg9QA54FoiUWaukqQlcR0Cb3XEL4P3yVu1lcbWUileCzXY+hpYayvguL8FUx5oj9c8KVzMlB7N1vYz/T+mvm27VZ1p9pU4mIz4cmIQGBs5CB1Ad4A8QkBgYhMb8/S7lfU5/75YY441D7FBreoqqbt6T3v+U1G2noRyzBzHhoXO73ynQpnz23s5Jubee4E9uvAedJQzeyzGv7f6gI+ah48VsPR6dPdXM0NMDubcGL/6l+81aDrj80M11xDvX7jjBHLCVwPR1QQ+k+ZuN2grvrttzoUP2u33bPmZml6zojU9vRUNt1/A769ZPrtlp2+5qbME5YzXhDXW9LobtdMAnr/fplXcWDK0DzXz2irSO4akn/fmbgbfROiZfp9WBeSncaTBpJnGrcwHRLj1DhraHo2nNOxhTz7f17RANy7Qr2d83v37O7fBov0Arm5moPMKcKPM5/F/PmZmBuisnPnEYjWC1v85OBK4Kegr04/iAh8cJ4fH2Jxfx+XKHHNTnQ7crlxk83AiKtwywA//DzfGqWN9e5IIYnVI4DmSLA1RwEZ/4KaXV3w+qIs8FSfC7GP4rj/EDR1cyDgf5g9ZNI+sbyvj80icaaesdHNi3oFGycdJ4AcE8uv8cCLDdAJ9+A3v7MEszDJmOWfg1IC9Ex3SBXiL0UTHo1s+ThHegD5xZdQ8jmv/rCi/GV1BGVorhCdq4Y3k4SZj0lfiAZiECIuWv/NDaSXumU+mZ/uHiBR41JLSAGf1OF3SyHYhp1k0kBFoxG/pkFRE8iGDtstBH2K3d5pVPkmP1nq3dXC0uWMz09LMcgzCBdvENnj7Oo+SIXynQUnQpcUp1L6MDebjC/CzIevNDML9/TyU93T3fsf5+0bS0sWrPph5flVMNA6t1ejeKt9i0EqbM8eiAuwpLXSSDPeNtX1pc4zjyQUdJCAmfriwd2buGOSMAnjCB3HUfLSIndP2mgYoJS4OJZoWBViPuQau0ywcuDd1yD6N4H3YoN3jyfglZ6Cc/uZg/N35xr99KcabtAeNJ0rI/VRsT6Vlr9hK3s6auxShN46QBq2CKktRxqe7EtkV/3qatJu8y5y6IwfAL50jtVBXwRonFe1K83x/Pmay4yuzHh52WwycJIHctK9i5RIrdEGn/fqD4tHc+6qhLPTJ+EekHebU9Tdlh01fWZpB7pTxp0t6e2oCflJc+eZcCbTnUK1//tj0DLkJ4qKtQTMyikvTx8HX9gr7wAeN+gUM9Z4O0oF/h+pi0qYe8LAyux6mMtX/VjPPoentZ74mC3DKr2pAX5g9IFfjq/GXrcfk1b/s1UC6zkIllAEWxSVgQPqUFkGmD4lZCNSdtjBtOeSDb1LIgzmDJNZ0VEVyL3nrnXkL2hK3GPQyxMutKdQN9KADHJrlw2UF3fraX991oBHXrQR8d4mbLKBdnxy0OkFJJJHx8iYxof+8Wvtrs3LnaP8Dva4/qLhYkJsX41+QmnsOpn5qrkjOHlfiSJfZOK8HRSFHv3TlRwV5rg7kibE5ygrYm8LyCFt2okNOHvSW8VwpxXzIGb5x2xd4QPHZzN4xZ5TwjKxAwOU2gHtqbkLJRUdG0I0H4AxX4LP7Rsivl9bj/eykRXstHZUCV/5REbvLSP00IWobZwlONME4XO6KN6Zf59fvFbh1Amv3JdjsQ376ryZmbWfGbs/z6Aeq4G+KGn8dvyeA0/97ritknw7WeyPt7Gl8MyEWHcjJX8ATXDZAzoGcALklPiMVMDuhJAyfdFBV2smjiSXjBZJ3xAWNbXppf4wfsjBnhH1yA85b5uxP6+Hc5Xtlt4hCzMJznaogfYKmBRVVeqIgPenwDwYV1egkpYh4uYt2tYOumVD733NtNhWKtllNQQtq2ZoZZ9ScPUCuJ4DnwJteOeV0HuS+LPC1As0uvt7d2iWQu8NFOXxOo9CD9fgA/hRQndz+w1LL4z3Ep4PfBCUfRDRWDrmS9CXgwQz6z3hnEtBr6A5c8tDol2f1vKdDgk5IPRukQbMv41m3B2zZPoM9krr+cip6+8RRlK7KOkct6B7yLUbp0oJfxNBvDg5ovFj53CVvDeNPJrQjR+DNpp60Uwe1e395fq6ABtYpvtxBH2xEr3Z1NHVmvh0eVXGi7TcbSIIH6yHNfBtLb7JCzdkA2udr3mRuy+oRZbl92dSwb2jni7zHH/B+QclIgu32puLshYf7bDA5boG1UqBx8I1Z9qZ0tvvzoLjU+kYd7TF4JjZshXQBqbhvKr2Aw26NJwoyPsUH57KYOZsy1JXp5QLekhBhX4GDXyFOXv42pGTb7xS1bRUg0APseQ44MC14hVRlcvU/zr81P6XFhXeE2OeV8ZcwE7MFiUv2/oA1Ag348JTFT3lPImWpHaZ61zBvAR7oqWJ6zSYAbPVNH8Rq7pCEccDsb2Z+9SLD6SLH0juF06GJk6SxWlEHvl0FBBlPEIEwEp0vK6ZC0Hon4OAkG2YHD9zJHEVM3/0pgDwaoxfv3eF+7liQXiEHerIApucy95xvMzmStKbp88x5LwfpHS0P9u5+4RFClakXLCBPcXNWIiV3FuADvs2LJGII5bnz7hAzq7YA/orQ6bW/mmHZwZ7t85iXEGsmH3wDvlLIXbwc5h3guGe8nlk0X7MeOG/IDfbM0kF5Y+a0OnZ1CuA7ONJvXHk19YY5SyRb8Qn0sJUB336dLTNOItCUkSpAw3VkorztG1MHBXENT/Q7k/rXL7afL5BLJzlArCIO3Lc1c5yOmTZzLbZfmf3PA7yG5947ucBVzYgrQDcp3r589X1Jw2edQ9xF2PRTbhpg/bVNlrqfJfBDXHbqCwfJrhlupoau/++Mvb2kIZ9AH99TsV+YpUts9w/g70/FmEMi+9eP7hzLL8z97HWvh4Xd1aD9IJ40cxq7CrXHd9uHDGd0CpqnmQWbWnsXP2931bfdOQbuBDrL7GkCfBc0Qp455gx/C3ns83oeGzNvKAD8mSre0mbQ9l9eFoqzgnyk6NMq+8wqremA3WmoYw0iFPv51/zGGb5wM6tguNxxQSAefvsf+wzynek5Sa3SOcX6qx68CwY9nA3vq5lDbfxdzjR5eS0+QG/3SmCU6Qn0CZbELb38v3fwO5/+YBPOwhmC7XJPbXSXbLORPU9lTzwm5DOPMktG3gIcTNDh93scy665A/ddT4F5Tv2qMXsYrWlmLeZdeE87ZLzbbmd9sSqrvZ/EFOfA60s2HekqryRWF+wqC/PezKfraB/eqaWu9ZjemSsB5yafWVNgvL+Us4SivzxhP75wI0kDxaqCR0Rz+J56z/vpUgl0zcMkxfyf6RPwQY1ZqpD2KZoe5e9cD3mEHIwoI/6ZJ57k8n4u2lv5e67Xvp1Q6+XA11TX7tLn+6v228kYGeqAA1YtwL9Vmw/bETj+ITcWtCFPlK03wKtw7rBnFaEJ9l0C63ih4XSqnGaTR1vYy9tdxvjIWPKEXJLKYv+kq/KMby1g3Cs2dqcC5yRo+9zUTfTMquHdM5680RgfqwDvTM1vCnolHTNT47yy37t/HSvBb1nhM9D/JxLrtVyz61lPO76qTjEeAxZ+kBhYtpt0f5qoX0ZatN8HixPQA2aWwgfgXGd4+sFWv7O5pbU1M/36UreiEsuT2K2rgnYF3eETigGo5YFEbUYt+xvvtt9KACfawR7hwCpd/4WHh0aQ/MSxy3VCIMeaGeL+KWx3Z5rawKU+ms7HmeXFqtcTj4A/r5I0lp0CP7imQ8spYKRAzMxMK0AP3vPYl7mzfWnFTR6Wr3MASvjlQYrQqdakOAvYU2NyED3E3TBfecju1P7nNj2/n0Gjgv48sq+tle7mW4rwkYNKyXPgLAw0y5i60pIi0+SWrf6Th8kR8tsKmv51tuxKqmzQDxEOW0hg/FtF2wvEbGvmQhDgw2zEb4A6i7nrA50F+0aOUnhmfvgFcuRDBP+sZkSU21NQOd7xjPoncCcfQ14EvHuc9V9tz8I0jkEv7DBrH42wOXx2K3o7ydZspc/5DQvip52O6xWdjD9mqmE/hTrPLK2xA+huPDvYZJcDux+cmwfa1hO9TIAn4BOf0mwIXzwqlOPUy6+tb/qHiFPawKFt3u3vMuariHqrYssb70KrDnlXB22aMeRDXH7jAIeKhRszT/rcT146AvcDjQ55JT1Tf2xCBbmGT7j/80uxxW47pjGzT/n2QwXyq7HwiaLeq0d/Fl1mMd7uzD3bcQ0t0HWSdw1ghv+EPHfgoL9TmnRVR0iWbxHo0c6c40FOf9RF+qhB0zVO+9JfX7WNQUX+87A156CjvZLzQx5pcg7RxvitlYUc07BtgXt8cTbFmc1BE9gER6Dlwv5Z26m5B4+lTQDHTK/Q/pkWMiaDV9QCHbJev2q/f2s7zDwJ0KFh03vXbLBvediOwINGYqkLX2XE2HJqwu1UFmRfDVqfjcZ2vMvRDh3gGVx25bN0k7mOtjld/21OEejNtW3PIfAUNr+4aEBcImuxdcoxuRFXRiRqNmkPXGDYW6dCA4fo3dTBMkWkyN02pmK5wucQrAkteWaJWHlnlJrZzqD9/K+qID4GtGUDTiqu98ye/nwPAJvvgDF3wZKs2hn/c7lPub8ylJSVgzaEbQNWYKcqplM9TnluefnZzIDh+3vjJGXe/bueYS+zr5mfAwn5uXRYHDqs16xc/Ymv+OVZ/UXcdm2sxdTyMxm3Mfx5wcLtUjuzJ4RCplYCW5qI33oyb59R+aaC33mzK3CD4NzbbwfrYZXFJHLOH2w1/g5TRAv/zeTt/7/2G75nwQTwBoR+zgHZGA8byIWgezGs/XQw50Lw3czcUlJyAoyAHErHi1Jmt2n0WxNYkUF/VYBtmYV8IhbEuDT8EPTKYxH63+t8/ksCj4D1zyAXXAi8nyoCLeOitKQ+g+/1c3B0WBUopIMHePgOPOkG64mwdG6bykZv6ZAABoCO0wkg60yk5bl5RL6AB71Vq/ww+/zvs1aVMWuJZNeuVf95NT5kqvCPwPOT0skW4LBFlb8/GoY6FpIvostH0y95HuuIh20keXttIoSB71rpsJQNbVml+Veupyel5Lu2/VdfgJaid87jv0UCJ6csW0wfnplXBzntlA1bi5uZJbAfaaG8jPOgZrJqxJama/uE72S8jA7AAUFLzL8zQNOxXcv//CstkGuQv1++PbOZaVhA3l6OLvlu8vdVmloZiPzKmh5H5/MOOa3klrQPazKcIrQ5WC0HTsIF8IXc4NrX1uB0xkPZAU694Q71yiHlGWGBqcGd8m8uZw376GAntuo+N02RlFi3P+mI3NLaptL2C+lcrIy35FQA43AAL2y/MlwDMx2CNtiwAAVqbD08bB3lcgT7Y0oLDJple5Bh+pTsz6NVNKH3qzszWx2aaJsRDpg9+oCLMzmJJMRR22Z8esrRtyDu+JnKMh0yVxa+VcfA7zm/Eufd9O4uIuxtYWYIOAv83m0lIypF9zcHYYdXwjMzQyD+3Bg//5r6+7r498yEd1GD0k04L5iiSEUyl5b1AL29A30O8dgDxkJusXVV93vQWtMJOBfKmIpJ7D/TCO8bh8zN+u9vNpzpNwGEgdhIrMNzZmW+LVmhvrMBBVXID01ALrVmxoPpjTJzvz3PJUWhiLYINLokjpbwPiIVqq+KJawZ5lvD2y5z/QOzOAMe+DdTsrblTx1mG+DKYznKL8azDQ9C009ZHW1/xZbaKIenFdPL8XlzQAemdOUHkc9Zvnt/5A6ezN1IqfWzXvcPU1epooSnHC+cY8hhf14Ex6aTMcTTxFB7SBmhKlLrwZk8EU9vtNBYhf2dAGdQAwbVd3tWgm2asRVk4CUNiF2tmQW4gaW4LNTdL6Voee4aHkh84OCXJty/MCrhYrmdYuXSHuhoDO+d4iPm5JCN+wfkkLuytP+/udFLTlvNRzVUBeZs5V1e9L9rIEFFsHjCyrJ1qrU8x8rOuXJSN4nSAL/4fMtRa86G73k47XI24SaacTWGoHva4WCZewmNKwvFJ8EdEZIP4GqsCdpLtfr2mbd+FUgbDxbosG2UF/8ezJlBx+sROPSusi+WZMurh246a4hEqzHztTaQkRwR8QsLQd+Hnw7s45G6zJybt3jle+BZHLCPA9dxyk7v61WvKppXVbSFAF3GwsZOKXkottWgeyCGtZNGr3kcN9gXiFY8MWdATzJmgKH7FXRm8jsZ1kIotZbbWbQF6Ch6HiX8PPvj97OG5HiKZXdwkylnkMvFhKkDXCeWGei3Meu0e2JJ2EB8vM4PRbit5FoudaAd2eGWoP1VOfhIRvh33A9peNvgVadNPncV90tYh5K4n066as/MkEyLyTdzEbgtbyXN7gqi/dxfrkdHLUJ4wOXkiwNsVG/fpD3lOFJcFPrGGXxyB7gNeRDiUOegewVNIF7xt+rnwxlwJ+sVFj0izMX78/D+UKJNqnDBeZfMxE54DmstAj+hgn/xQL/uK0vIf6Z+40EoAS5HqKB7C/inmfHeGg/4gzs5/ztv/yEDiU6h7VbMHiD3plRPl7q/2MqVqAGuU4rHamYLqVhh4CN3Ek3jwfnbX3uSbyke5IxjuQBybjKnWSBPkUxr0Zi+5gEdKjPnDeIfj6BKELFxyAWDbNBwxXI7MbW3d2Jxn6ygzXqOZLiArrXX1LE7turXvOwltdkdcFlKq+2ABwAvJ/fK0YRHkyBxMpd67xrv+ubr/YE7XtZ9tjmsWqh+akmEgsxpB9l7BXc+3azQYUbJCfJYkRatppFO6t37q4/DqSOI0aKNKkqA5QHea+RlkHtTV0FcwDcJNzbtQVOas5NiqhqL/CjNs9oyvdWznzN8TSMp8tGc59mM0wRiYHmjVFmwzvCz+auPAxMtD8zM7+3RHrj6xznUlxoBH+pnwDbjq7zF56/5XlrentHPNQ0hgYnEl85yaSL9lceqA7WdCYphne0v4JKAXe0kqYZ9n/z2Q/zxXvbYZCN2WIFOpYsi+jQ9db99oiwNNHDmiechYJFZO5recdECzl2Mh2oM+GO8pSxq3RxJ5bHW5d3MMpW9JoySFOKpr3T/yssfPAZ9bWZRW7Z57gum/Cio7oCTHnDxzwE9ALxLShHtV9L5vanNMZ7iJOZSobagjn3NbVJx08/tPGyKSqdy8U4F/541RCeD/3+dEcF3tiEGEY4sW4n9lQY8Ax75U7kKtI+O4Tu+NVyneGAuxMDIYS+d45Yoigtz50eAQ5pZ5aCZSWazNY1xlDHm5lRnjPp2Q8nLC+6jGpPjby2Yy0vYRx+1ZbNTrAlgew9cBtZ+f+UOvBsryWUEeyqH/RMiM/Xv4+jyPSum73zwsnPHlsrWMXAfXQ+zXXWZ+dwdDZNXvWgHfAgpZ7uBnGADnwvVIA3G+/madGeBndpRXQXYlwaJewLdkSO8Mis5ZmaeOCO54lOfCfuNM5JUo16yQvUpsIA8Dq+UtrbxC3rVOTCquMmzab+4udB540wU9uVUCrKjwn6AboXczdzMWgTssz0b20xp3z7YZEMC05OpTD9kma1EpFYKejB1BFcJ6KlrDvord9Xr3qGqNA7KYS7r5xyUzPupHNArxvvFbTPZqZSZORVoMl4QV4iLgUXqrdTJndiaqpBs4F3kwEUWwvR37UI+CMNFan2QYuF4mABXylde9sz8lJz3LujQUFpb4xP9DZyZ8UDmWYFuytF70G256XHILUX5yENYc111qqo1JGFHQa61JXXg76wyL7vkh9O9iweyry3QVeFfnxRoP+TlTOW/fu89Mf4pxmfqpBzmQSy0oGdxyVrKRrbKUfKmMFX9dmHwW/bTvvra7k9c38gKDHM1c6iSZ0rLe2o3K2CCZc6DX2cpPG4H4H97hrgL77bPwwRVvfdR68yla+tQU6fqmJpmdOEFuZ4FIU188Yg2zQLYk7D/c5NHtfoqaWI1v9zGf2OGEzvIr7r2z6f94JIyX9W+4uHjHG7fSrY8qfvr5fc8x/gLcrOEWMukkP/XWxH2V6ZR0ESm30W2Zd94pne3ocgjNvK47aMq1Fdi6R/Tt/3C+RPFNnNSB/b/idmNAxzKlGU7UvvXNOa3M/P8hqn/9JW1bYG3dGzYftSxT0GzPZkGbC/UR2Ulk6AMtI6HsFNaOJo17Sfje/zqd3ia+51SK8A18lT95kEh39YOJwIQO7e4brqEyaG1cxtZissTdd4X4EpdHm4TzCB/xPhmahzPlG1wREL4rFEw5We89EBHWeXav7DXpSHRFZKMMx3ngdJ5x/d09Nc68jjkxYnz5EMWSdcg8pZxM5dBXVQRurILVxHo1HiP5V1zLTUJSn150gH4miZrJTzQ0V7FhHqdH7rYAaTrkw2L8I+kasN1eD0XmFEG6w3SuWYbD3KXnTqAvTEfa5aYOYNO7mxh/1w2R0seMzY72GrzKpxxHpfPzMz+FI///LbHv95byYJm07jTpMzM+T4hkP+IcmaSA0k1PmXKaTbGB4PstgcW8bJ0tgMB1puG+02NyFUItoLGffJOP2W/lIwZD2b7jfQKGd9K8n/c5kPB79cW3wsxWxVg1Ilh0J5qhKiL805pXJAP0CrYzJiB/M4ya86BH4vcmYGXLl7Ok4lB3uaRdydm1nmPW+MjWA7InH/H52h6nUfZ5zg5lePeO3PIlZa30Cj1zD0ejrynsvk1L5TEDJ5J65+SsycVpkdDoowzm9p6p4SalPX+TAcUcjdccjNLuCC8oXtPDYlFR/I6c3jkIDGAw1/TUE3cNnVayCVCU8BJM/8ZeA3vGUNMCPvKuP5o9GSRIjkAFp5YiEOBSFuNgGl9ukIs+3lPZDYsE3HQxB2VkWF+3d1YiqVeyhNJo/crHeY1Ba6agrahMRaV0RFm1udI9rDvQE8qWzo6aSD+KHvY58jTgMWl0R5kTG6H5/atsaaUUzWeedJLnnwf7f3fDLXKzu41a/PzeLlCjnAk8pEQUwQ4k+dDEgOu4FxPR8CinLmmt0yRrJ/SXCjTN+emsR8dbHnJaAiarbnnoLsAX5Nc+wELE4866uV/CDGj3P/Ol4AHRaZGTn+owq+49R8mARYfUthrlR0ulUU2kGuMJ2vBOL/k1rIxvJAM6piNPjtR8lMJLNlzS2r43cZNEnOv+TqPahx1IvDeGejvGvIC79VHZuNbg8y8CAwaoR3M/CHQAcDleVE51tNMoQPO0ZWA9ifkP0CPo3REvRyTB+n1IxsU4MrMGOPfnMrX/joCb1l4rGhu5g9HIEVBr5Dg8w667AiU5kmj5IQjbrDUo2IKAdMxxLlLkPGnai3c4RvsA3hnsL6jfEtpiwkKn2zUBdPAu9mfr4jDNfJxqBnoxZ/U2UDWSb6OK95USAPSNBvQ52/mblZFkMZc5R3czw1w5LhyNcfW5S46NOCv7QK8nVPelqcCdbWYlhxNfR3jZ/7cvji28ToETPJFPXgzHVqdF0gAjzyd6ecV1sqnWh/hjZseiR8St1qYGZC9ZWYKjObOsOotW+qkItFlpZp5B/i+GfAlYu6VxNRmPXrdITrnEN9Nr1Adp08Rbce66DfwXDFey5UMXoSdrYb9/8hHfcotfYF3O/HB8ITPK2jlTsZJnLFPx9xNMTPzukge5nxfcvKUofy9O3idRwmkBDf+pWPmqVDSyrlZeYhbocmBhlNFRTs3rs55qAombCKjdAWdZnxPJzX6WnbpVcaXB+CalfaoU+H2Oy2Ab5s4HJIqH/GrjgjJ2PiWqJmwhYA2Nvc+8Nz4kFkcnxD6Pg8TysbPBy0mSuHfyaiHd2HmU5pZzsaH2y9eNZkq9H7niGcWSjNnsTj3U8LRXw0nZXZlPM1LrqmM2wfh7T7lbXxioMtDPdDBgxxd2o3gEY+SrEH6A3Kak8YXYCfAAa3HphZeSiCWzrA3M8v+zs28ck2Afxjt8njVVNjV2K8q1lR08sPUuHK0XxpGHhVKRjHYsfG/gee2mqF3uLMceMcciMkZ9OoGeJErAoVyt33m0c076ylMRQ98mJs5gIUYyZegf/2VFDgFBsb3rMZ/91x4kAOxYNr4VeCk6hnkfdBlgzJ3NwXkFocNaMcBe1hk7sES0HPqg4HOJvYkql/PO2Vq1YFDT5AP9T23/ZfWG/7mwXI/JAKVYlAe1fyYalCWAzlArj1UFndrgb7U0FwpazeAXpDjtzZZfdqgJGXd710NYFACHKTN4B0KGU/DKU4maT0efxwgBN4TSogDP2bj1GHmXSnsJdBiQWWBjg6NB55mwHsDLubkHG1zbqvDiU8bEbadGHRfm/prPt2BH5oagVUWeMj6/gGbmwKu/p33pkw9GutxPToXR4z+BjjdpgqTHS/CRYSgiTvQUSH5yFfg7VxrUCF22XGritBH1qVOqc08yulJVmJqX2ZegGZjgNGrb+JSi/+7C/g9hybOp7lHMjM1OtBPQaanVkQPt44v9nlI3rInaCeOD+fBvmfu3hGDvB2txDvY6Csbe7tkpv4eaUL5fzVO4v3BYp7SjlxTtn2dmdvm3p9a1v0M3EqMhjfMHxnnYz4il/O2PRcQW8xzsZCno+O9gZ40cxyMn/uXMueisR+euX9UTpKbnF8Bp+HxlDQuCsuOrXnMX3v5SEDbA/7Bs5IL7MEQnnGprY1j6gqU8aixvARHJqe343n0RUaTnnEf8ifsDWdOJMQHcOJFoukOvGsBnuIcVjLmRnnav7VZrz4pR1BCiKu+WZ+5zbC161VCfBEKOa/K7WRHdP+A/eDkqz/kI5mrLumboXXkcx5AnyaAV+LEydywbSfz7ZyGi8nzyyls3TNoTGa9ehDmS9ODNguRk4Gep0X6PIWLQwd7TIvQY2NyMl6/dPzn1n37dcpn+8TVNQ32DsQGvMP2J3WZJSLAK0ue0n6LsDVNTegdqgDHZ9BKdSHpK+aJ2HZiNx8wvC2I+yvk1eBoAzuJUUsHFDBHDxUoPBViiF8FOCKfJ6oe8rdu73JXo9odVl1k4+QB37pnwpO5zZ0z0y7kuJkVr1qRG3Djmznz81LUuKxT18oKr1KoXcaYk7EHxDJHwPDccuUZXo2n19Qrc+7bl7A28610PPgWqUfHxKt6iBmheNVxLHu1mqmmbPyrI9o1HPKISHwxbL3GkRZwvYADywe9H1U9l1UP66sTw7fvsBbJmSm76VQOnAF0uLQAc349+2s7s0qOHqxvixypp5lZCxiPzbnOCw+zVZbqueXE9Ik7+HZ0+HDmk51GoVX+4pvxEk6qyp58VkxxY4F0AN0N+2LHmPQz4Oyq5y1gUgd7Y4GIX0T36ZS2Lk2PX2NtX7WOrHGmlQTyO0X+rgov1zpMBhy0Le3Vb0061Qp0QTvT/gF8JjllfbuYPttTiMQZ1rd2tq0KQ6fkMqhtwLOwvZ8inuPxH3Chdl8/t68z2APnesaDvTvF00gYoqC5Ubqbf9Lw9qyi7Qx46ivYd8BHdzRcuEIyraPMo6Bpsn7LMxcUDpU/zdf8cwowPmv/TQYyY/0cAD884lH9+XBKDryomE7Gaxz07k0N8K/HiwVa5NhY7ReP0ccZyc3BaY2vU0DDjYXH6Q7c6qEEPgnUzqVLTkK0a7pKaXqz4Dv4eTT/KKr2Urw8JG+bJm4rxbiHVwy5DaLHwTsRmnm1ZjKbnqiQ37BfQKv6p9KxZTWYupPJzE0hwPNMz9KtLNogZYnIg8biDg5En+xA4+xLPfmYLa/edkyd5Z71HhaFSipLaWKpA1Cuy5nZXY2QlRfyqxmWRIHWqnkLOgMt5rzPzChrhsmT2vTQctlYcvrtP9f+l+DowIDbZ2ImlfZfHiYpKyRoHzsWEEM48IFDho9fTyfQG+cxoWnR3AETstTaGr3JldZPYmZPWNt7HatvCjGSU6Pl9aOx5TfkcAL8mKcB0SwInzXsl1dtqhj3SwbokUOUquF31vamZBiVFrmY/rlzr1vYS0fI1Q7vvakx83mof80sD0G+2VCEVuUiBPhdwfthWGxXbKMOuIULGBDSHr/uUza011EO74P0oc3D9nhGvCh7SVTQ3mmf/Xe2PEzmnvHUDNI1vSR1p29Nv51xiEgtyAjPtMOgpfB4eZY8Mec2RxZtHIqah/g/DYuY057kisacojte5TEt/Kmxk6kZQwf2JeAF90wPiVqBWAxb0F96rAL/UK2f99qsV5eEZgbLWeiSWFtfUbQjVriBvEuONrHgnb70VwzPaZXa3GOFoKWW4He+g05sJkDfOUsqXtxHeKFy5UhDZs6SSBV6b+WaPgCGTsYBi1o2q1bgF5y/QT7xINdKFk2uiNpXzFvHlc/S9N5F5HYGictdiA9L3tiw+EdrckE/gBYBvh/wgndmFnG2KZ32DrgH+pVfKgd7qQU6w01miBu7cshFBmz9/fsF9g7W8vKrvJNhWYTYTtXoOxLyyXnYAmFs40Zk1xz4N2Vql7qoLDtVUWRmMS0IuN+FuuWVPeeKDwt8PxUTpGT9NX/wfBbAQ/aEh3aulcUL9PIz58D9EsjSb/B+N4zNP1Jj23hvyFU6WSfH33ryyL6ngwXarjfe6G66smcpbJuGkM9H2Gdj6J6pwvCJO5MnMfAWFj3uZLf9Kjl+zddbRT+HuACcsdqL2Zs1gqwoUIFdmdW9irF72TQuHpqghVSoKzNrI7VTNxua59GxrgIw2XCpis04LaYUr+qI7clRIzbniZPp9/rfc5nz/w/Izaan/UOO00fe/XO4sDzWNdZ/GnRvg+a/ZiOx6q/3JwvLDYnRk9HWY4OpHYY9bKEN/HnLUOaYOY2wFpCZNw4DXd7Y7au256MWrQ/5mlWxj0QBHMtu+6aXH02HmJkhl1skL5kXwr46ZfSfWw46Yoy0pma1NGcvwKsBEw/mro5YyM1oO1YWAdxTM/xem0cvH7PbIh37rlDrNmzRoCQRaC/IFwo0iHrLxfxoqLwQrvcZT+LammiWg763W+D1akhHxZiLllxkgPkTLwXR8B0/II8FwOWKSiMzO+JVewC5aZ5LrpI6uj2YTagML8+6gDym0U0CJkKG6SDH3Mtx/1Rdv5x1cgL+fjde3/VzzlMb8nis1lzYEvbhoewJ57apWUsOtaVAEaUvrVc2DnxHu81qRnyIj106tk7Z4dM54JMKfPtMUYALjo/25AInIiS0MexTXcNeOEWyMney1dfWSdfmzkJ7SQdmA9Y4FUs08MuxouR/muj2yBn+gO++Gg1m+sckhefgwJmoTCpEvivAHSkIxFazEJsf0hCPEMc5c1CeW5CrbQm5Rn+QMHzAvtFsbBYaSU9anwsP/Iqz8MVt9qDRJtjLRxl5eeqELkfToVn/rebOmIQPO/utkU5yMvA870hW2/ul6nB1jqb2V2cCB8G7+U2MqVcVflCO/ilHxp8IhyWVkjjNqz8lh+zhUfffgzrmzoyAJpo2WYFmJdCF9aXDejtowvfr2XjmhbBm0bYFnkdAL7KmNzmyjUkAMQ+6VdqamlrAvFP3ZlX2f70y+IW9P6JLbhzBmvLQ1LP4sF7hWcO6W5fN0W0T1gGnL/6t1Ui+gTs86lA9UyGfVdceSlba5xElpJjGfAA8DZORQG7mrpl1NI/ERrThny/tEAm+N7h7gVgGFceMP9uhcbVHo7kiPHnWQemdC/zMLWyrce+cUbbSYXupC+NjC/sgMOc5eq01X6qAa9IDtg/2RAB5Gkv9KEFe/hvA4TXwFm4BvtzSfEaly3FjLd9ibMfjKvOzmMo6kK40Hq6h6v7jQvb3mWKhInMOJ3sRh14e2o/KAd6227IS2F/t2N8iQt+V8+qjn4/AMzETc5gzmTDr3cwJDJS4ufCcF9JBzuWgHcIJnRns2Xz7ISlJmEg6FSQfwCnynPprw5UnQgv0DRlyB3DL+NmPKpOB3gPfeeHG4+DYrnk3dC3deiXfdf++Scd0kyKiadx+5M7CIU+OFSf0LLCE/WHmtHxQxjcV9TVmU5FSmfFOa9NLKej+CZ+xKcU2PVpeVNt/NWbyHM1tzklu9FfZfz6E0JLFKKLisp5h757Q9MDxtErkw76QZi7PkdmJb/z0cP+wU3PfEX0654K5KoD9HOEReI+fhgT0TEJNzcb/Pqug4vaAvQlcddqxyBPA7QMB+aCJzGwA+aies4Udsq8dvmcO9mnXZvBzCGDSJluTfU19j+v2hnvgqy5zZDRjYvS6rWPIoxfTy/TCKNlJVnZtDPokalz1k8cXU7vTnVlCZIB+hPA2zcrdk2A2YOsP6xA8S/IkHcQK5CAK3zwN57eDTTIcTVdizg4Z8qgm36CtT40TvjyC2pOQMnWIVzm8ZKBtzF2bQsjcF/ucTyRzVJeP/kARh70iTZ/7BrNtkcN+LNfwAbpwnzG1kSE3Z4Wz+JoH0eEI1sbcCWzUmLw+K2jyLeZREolAPVLIAylDnOlfn/UuR6gXnKygVQpcTA7w0A8zg7Jiyx64BGnC7a1hXlxayybnKJYO+lahmTvBJQ7JQp3pfhL6VSN9zHrgawJ19a9XpQ3roW/lij949Ht//Kzj3pZO+5UP+OsIz8jcZAB8gZ/VXqoe55JCbnXN7I9PB7vJd07lB+gWPwccrAs/F0K+7m5g39hDSlUE+etZUj3VjMOe5RtK/Q/VoWOm0RH44OmMgMebWdAB8J0B73CBP2gPP8OyzJwq4z3/kJDbcor71MnW44q+M8vuTb57ndukjkcPK3AxgZfK5HDhMYkuC2XTSu0Jp4NMcA78Gt5jWnw6Jz6dzsPFOtrIqvrbHVQQ6Hi9Y0ZToeR6itUJON+3Eq2QHdkA/r/u9SrukB/QtRYeNl7lTtG5x7My94qrtPOuvEMc7puhPSknA/64zJLx3Xn03RPPHIYSyBnkpwqS9jxoU6cc5QXZS6avxoME089HM/55VnMeADIjHdQh6MqgnYn+XCs7SUqRSODrwcGaL5l1cwCL+pzxZyVwng9znlnJnEfkAFxzD5rJycw8ivjf0rgZ5KfPBYNuxG6bs1i++okAJdPF1NYxR+cZ216UY0dMgK7qETqJ/srYxIg158Aa39IIkWrAVhUqVA2tFHESYBfZTbhZG9DxwHNSkb97zNnu6hAf8zWZ+Ipe/BC+25YqV4U8ap+ZsyDQEQ8c6djcpacCAa9Fgpl6i8AvcIe/0xgzU6soTW8b/Gf6NpiF4TmnXS7aWK78O+tJW9PEOxXkq+L+q/bgUoHWqMIecljrVkx+5YiEZ+CKxCVfJeAXaJaHDMkGD8k9s7nPLZ6WPQecetxzWz7SIuGVA1wOeEljPeyjM6Xqa7uhIb5zhh+19l/35m3moBS70zWnbVnttpQwPcP7kKfYX3Ho4fNws029Gzzz/zyd0icQFk+K7U5G24y6PlaQ5zPeltlzi0yvZdl7V1MTCzwgYtH+5WEyZx3RuUbfnKmLDKWWsX+Az6/qaC5PPFybToP2xiloqjuxbOAEZM24/hZCTThu35rd7X5mzDus7YWCJmHifYVc+Qb6kUGOqHDnv+44MsyN3vqfH4DxPOs0osJegEcjFfNIGS8AB+K5+OeUK2+pwISg/YrFPKjCn7MV3+Hv2ZzjiVOfyQK4YYg2eTSj3NkiaeEXbtyVJgdpybaJ9e/8hiZQP5S3A+SItI5xZGYjAX91AFdzwDFSFrISrC2bfrGMLzLWhJUiNT0WViakGRPxBtF+BG5+pLHe5f1f/mK/Po/I17l4d6iYGIV3LVk7AeYuEBPAuZJJMBVkfApBbyLGp/7w3G5YpOaUG5+C3vRd3GtTvxbZhqMdf+c7BPzt+Lxd0+f7a36KmZHyVq09KCr9gM/ZMZZ81GwGnbV/1iL0gJvt1TDd094z3PsGObRU3HiEeoDNS3oO8QEXaEzRP6/u8AJsx8Mus4jLE6qTsh4uLw4Ae6DtVW85eAVF14M+hc9RIvkgnHi84z225SnNQc90aA9ce6Q2D2t4z5n2g8P6ec+c7aBMz3b3WysJizu58F4uedHCPjUORPbLz8H9rdmMgChH5ArvdgNcAGUMTbVLCLW2sWJ752ib/rQpAV5zLHt8IuwB6/PPU+HlkYfTvgQdbFyLQFtgwf/ZwL1OsGeQHBPCCv6akwV6CX+Y+nPIa7wcpo8MtAW3TW8EOrBhxpVzc2r9aUPOoFkvD5CjfTrqzSmcy6zrgVtvdzTIFsBNnHEi6Mgp5K+sHtFHOXxeG8gFr9gQAsVAEb5hrwKPsk8NcCkSbs3slQT0PK0H+yq09lU+P4BaTKwn98aZP4zXD/31+yvN7FVadX5L0PRF++V5Mn1B0SQysc1J/OfncMAUfUAu+WLWlAEnvXNz/8B5dQ65a7xrUsDWvJ/8zPiQI5MLEc3cqaUhkoCFTmpN/jnUB4xwnDkJaagfQU55CJaYuaxx6r5i4+ZlwwKcJWF1BNgVKBPP7llsC/XLreQN3uc3aDlda5TTQbUZk1ZK25YWfpoVeMI06XMUWizM7vDeqHLClUQTKa3NWgngjuJ13nu7qm7/qCP1UI405uYDCThoLECrVX5kFlrTEFJ0zGcZJ9SciaehlPCZJ4KMMbnKy2EBjm/qUGYi7X+PHHHjY4jSmKfC+NL221edXnSKQMMWxMNOZh1Nvd7X9i2FfXVwzL3c57VydAQa/T8vJJ3caD4PeeD75wI9QKsZH5e2iUjWhDypQZtmrh/mwIkZqOyD9W4Bh36dVU7KNrVTqmhgHcw5fK7J5oRAv7FW5KDJTZ1kZrz/n+9rY22XU4yf5xg4jnVxTO8Jjkwfv02OFtlRS6bAP52UJvk5wpXhB8BdX+cAP+dOnc6h+RWZvjZdaX4ohc7ZACR/JVllI1x1+lmFy9141ZTGE9D4HozGE7Z8pGPzrE3fgg6XBvZUBZq9tJHpNTsCh3nI4vLSejd4fzdVmPOJmVeMm/y6Sc19zddMINf4giGWD9tcsL1XDlKrglvA8woalnfg5Y6IyxW0rwt7Nypd+XvPwGj5VMG/67kjPwfn83UPa9Uj3p3z7Uqf25/MTq+wVCUFPs4D06cN33toHoq1rEZK4AHw1GpTzPGXirz7KeQf1apA9/rAs9s1LS62LNCbmZVwsH37ANh7pn8zuXQT4ActzPkJ5LGuBX2a+MCzjxXV13qUmPNPu+zlDx7gXVmJn/HUEtFlwyjxjf8/5PIgNabyjC8ZaLHKWn5Aq8zSWd7OMUCJ8F45ZV+xfoUcdGj690dVyOkAuibreQS63oefZ843nF8tF0gBMWbOrEtMsSX5vwX0bQt5fAPrGoEWv6aB/1OzfkMcu8N98wBd1Mn4r07vcbA2G27hWa7/7nT0P6SldPM1RzhMnsDxzEz4APjsCfTvmnV+IgsFnJDHmUBBqX1q6r8F8r8y2ng03nvNgE/K9j9OAXEhx8LPnl96+Ud0fi+LPWibyYb8bp1jSWRUmnlIU+5wwFuewT6Yy0GXgKvHnJKqKsjpHJEc9hUthffgXBl/ibR5ziWPpA8YeCRiOVWmbhT226tOj0AayPJ3wL5kx2kPuq49QX5Ofme9W9uwdnmqAuCFA/Bzse2lTSpzfn50pahC0OBd+mTMZubd5maeoNua/S3FoJ8qSp/nXr/4od/0aDgJDHsECcX9UQBfzwfd1V1iPKsfZZ+6VX5zcK/RmSKvss2cXOLDd7rTHnQ2vCMcoFBGCInBA62vBhXoH1MzqWJ4n+HfLL/k3BvvcPxF436jQAel3R7+9vsDwzoBtzLn8cfS9Q948K6QT0BzXlzaTxZ8DqZCzacgmYhNWlDC96xoAL+1BTzwzcyNZ2xrpcPtdW8eKw5cTphn//QI84CQkx40xwS4dads+00D35a7m1s6WzNvA7jpuwMcLgFdsKQaE+ZOPA/wKY3MzM82JNZCBQfd41iL8WLnEXr1Bm546L1Ry0sAZ8La2dxBs3DQd34VeruzAP4lkpg6W51Hn/+d+bFlQ633Je0b41H9ATE4Q241c/k+asiNkBM6/pyr3MISco05G3/xqIW7/6x6mLuzsClzkjfRwb4Ylo+DZfR5CJxv3lBO4mxIejVgOzfTPMwcugKXELNX2asHN57+Rm8VrZ8xPOJRyWZtVhH/sxs2v+bdAG9BXWo3Th5BfPSWZ2Z6Gp+gUwj8WE9vdX/xONXwzBw47PRWUpWd4r1LY/5F+iStg73Dw/nGKXmkNF1rVroY1g+0qE+Q//1/M01uTiXsIlv5ga6AgYJDHG/sc0EyYvqxXZUdYX/QWM2VvXcbWALgzAVwA58ismtYQohbLpICpx6VqWd2GwE45kxXwYEJu5eV8r/epThFe1ciskBsWmnBL2cgFdWI7RpyrfHYpQO/mRpG6dhTyZQsGXlm494iBmcDwESnh1ghNEVYmPcIOuNUcs2VmzAS4iDr/57LSh0dgEZ0mEjXc4SeDSfGZ2w6WAnLrfmLie2kIh2w1ffrKInhe8+E4ouM+SONrFVEKCzH5ETh+9TiAuufTNSy3HNM7JqWa0P/+h14tqLvGnRMNZjZ07gjQbKTISYVSt6Al4BKStzMwivv9UVZMzJ3N6D9TxXkbtCF3VnLI0cXrzQzpVASStHbmdhbcgAey7GXc7/4ww1nW7K1BdEAGtsx/lTbH8h9Iw4IxgP5SO3QpSg5sl4dTqy0mTkTsPie68nMEvgCHvXWuOTAIns+FfKZ9ZklxjYui2mhPeRF5+8+JSerf6KUP6rB5Cj+Vq7oZGbnpf28A94tWT5/1NZyz4w+G3R7jkHv2yhmrqY8Mj64uMvR/nEO36+5q3vG8Q5b+ytwiZmsgAth8tJ6F9zbiAkcSlgD3OlSrrpPA4T4SHL2P18R0AuzYhnwDdCSsHep0eug/4C/e1JnoG84gnU2fg/oHO8X40l7YtOdr/pLMP36rCQf5YkA3wXs1VXfutxZIs4vtuLoChzRYs72Cd93zX/vdyD23E8zdy5qYuVBPDu/9fMIBUen8QjEgfESqyz7Vjn2oRHorvjL02kGFg34I8qFR4nMHZ2RCBXAg/c4/E83GlwGTGuBI4wVk6RxcIr7KRWmF5ot8H7LB9uZukEp4ZkBJ+R3xbY+juVBmrkUw6see96TeHqkoMVPIWqlOY/q7akOWqsKkrfS+MpY75tT8AmRiNNzwK/KNT08HB0tj59F+1DIX+QoEybUhwqnk4SIZeHmXq3yrgCPJf981dvoU2HMSXkHeHCofmdQAg8KIIfHpUdGGZ9Zcjua+91IdsSeQN/yr8rm35XduqdwG6pOliWVTmojIgAva42r2p5QE5l5hxenXtXrnM34jRPgDd9EJCFB0uPjP5s59pw5F5vH06387Ztv91kHcfd1e9Cg7YDjk4yjjeTalg5CpS2BO5JvGSY2aJMEsFfUNnrklh03rn71p8zUzAgsJqpgXVLBP85UmXnWdzObWg6JqRVDeewDH7w8SjFBPvE2gF2oNtVZDsbngHyTvrcrmhTEmR/muSEPjtJpQWryj4aR71cNDOvwPs3nbww5trY+vUZstYhwV/c4ZM78ncOGAT6DG6cNUwue104uxuMr1ca/FF3VSvZZz5zS3H+HxHx+dnxuN7XNP0jUmhldf/4A3FVV3iUpEbqq4vaN9AiXfLpTmgDWzIeyU5wx9Q2YcseijWnU0iZAQR5oSm2fNGvygwuVwxoAl+en0poXof2Eh7cnDQlw5MuLY/+A3nqrYlwSrTzlyjRltvEtRUfHi2mceJktF7Z7B5zSq/ydj9J+AG/fVzwpASU9eCfe75yfiF0PK+hoBvLcwQv8GtFg/0x1+Tpb5k2c3ElARlMDSx1s+i3j/+a0X0D7Q96zthvgQ8YrcyeYLRib9mavp9rU1vPbWfDyXLTmTB52UmO84i0RzgMbpiLjk1+5/OVTcc2cGfjuZa1M/7v49bL79cOBHejRwV4wn9q/3lvYx5nFkdHlwCocLAjozzaDzxPnYsIp7DmRz7dUN94pn8Nz/zAeAa/9VahisrFjh2XvObCH9yr4fBzsyQXOQht2gzVGVFrbFq/q4+jitRmZy9yLI/VlbWI+inDZ570iOFJBZqMraPcHZv2j6pQFMU3LQr7mjcqacrsak6zuFyujfgKx3wJX3ysbf50QyaWw08rUyQN3BgwKlWMH0moJHqY8Y/Az7Danfb805u5NbFPp6F4Bj2+MN42VbHLrr9es4JHqQLfjNPSw6d1jYWK8j77qMH0Yj8u8I0RB/j0+b0/cpdeUatAs/+7HtXmIvs1PwutSS+W1meunp+60m1nVk03JzGxhFJ45eWHvgQ1kAGz3StCjsCaAQfhEu96Rpsa2aDsWwD7qmIXdzwV4fZxy3NJoGxPQGSyahspS2GBvHe3vZ0EqEi6H33knPToo4JagC/7mjDTW7NFQVdTxNLfKpwR4hByxhzj+qtzUTW3tnjjf0c6fKut2Zx2XdSz3ZwTKRKhAsMcVGCHwQtLR1QclhItckPloob60PAJ86K9+AzAoUuxikzHZyL7thcDJKUz8fNjcmQ0Cv2hjUUzG+xZ4Dy6Bq+zhv8Jgksk3JEqq1M2c//1/SxC5y5A88yghvLceZ45efGPCrD2Inl/q3jb+My1oswPkuxuO4H26fDQ9nKdQFUfg7RXtrRNr7YOTUKx9Ox04OwUtcDT/wkT4qIF3cdYmdWhT4D/HUnDSPN//+lNob+vcySCf8hAwiJ7D+Y1q5Mpw+0jD7X/n7yM6ZcO7R8x8uv/mPfRN6D1UZ3rpwk1qZvKG3tFwoP88Tmxy5pg2ArRxwP88Cc/GB1p4qBEqh2dKjAdxA3SAxUjXCN5FzDlxe0eh9k6iy1Wamg0zBz7i4wkwELALVVG75P12Rxw0kpF/5VHpCFMbHC0VsV81MOZejwObTyo8bOx6nO4QbzbvVKKeswMa0tRVQo7gVmXj6uCgA2SSFP7+hGP9YXpAATe9tLgsB9hN8Gee/JrvCt6xZDevLjKndKdX/mK5qUGJp6upx+ax/2a8ykX3z2KjHg9OtqEdL0i/LQk3M/dsMx/Iow6inKoPiAnIabqAf/um3E/Tl/5UbJuf81nkhS+MppW6ffU7PNhz7miRzOcAT2SYl18O/H/4F9IC8raVPOhA7KMjH6lQK+hpfB4bDzhgy4p/18pFTx4+NiImu9QyeUxvZKC+MjPXLLRfdQ6oZvK3Hg3wya01c+pOA2cz/dbqBPkv4RFxUhcxNqDM1IlA3LksbGdTu5OuKs86Zfwu89LRp8ZKirrgXzLovZN4gA72XIz4q87cnOmdRIyq0sIX6rYZYEGXQkAZT+JToQcq2q9MtKAf1QLa0dwpGp61ygh0s5kp7yy5QO3/Y+ratlTlme0rcZAe7WXTEhAlNiEHyB0QRyMEpJVW5Ol3xfXZ/75YY52VQ6VqzqRqzh3Wcocto/3Af9I2davWeFHVD3P++MLYZThJYpl+VvTFuX+TlvZ5pAao0ZHpu+OD1hXkdPh8G5aQSxdl125Mk6iJ4fdQVzRWDuozGkOOiEsaSm76auHfXDDkSNl7f33mydDYRe8lahjHbBh/a+PAjdCvYnI8sqkDrnQrLUkLDt+Vq6YS8qvqyJVEiVeJyeSRN5xjVwymV4LdDgEp6jzeGc1YqfWNifF1hqgzmt4YIgeyxJDnxu4g8PUQpHNtScI0utJW7wmNAzO/UWXrvrL4o7DTB4vigVpxmDEU1uH7XFE9Qnx/YTceeNhcFWv80kZDHb7w4dUpujiFtTkzniyFPYZH+uFg+9sSlOwpi33qqC0JtNnTjzFLV1JownO5rR7Tlm20UM72xrha0g5gNrO9QxiYnjCmAnsrxBrenf86JwIM1xjNGimgtkGOypnWKd3oDQE+kFEfExR/Jh1AGDZyZeFHEjLI/alFLRQoy96Vg8IpQxCPjfHTNGvmgfuYFR1OSJvcWDj/zcMCF9jhboac7neARQ6mfwlqg1stcX6IYgQ1Paod7ma5PMP/Nz5hgLPQAHVa11FqcPYgLfjMzkNVZ7l1to5lN2a8JW39uZ4yZ3phm4x0+qfsOofa+iyt2jO+OILGK1gb96KtHzzXMhnUqbblZHoYSsH746AOyiFb1vGMLnrkS3w9oA/gwVc3afGtstSk7OZB+Lhl7V//YZc4vACeB3irMX1zxZFZgKN1dthoM6sHeXvdlwL7SagbifBTP8r4MlBr+gROlGULWpleV7yJY+BlCPgtw1HzBbkFrrGx6v5Pl9j0O81iw28HiEGVsxVgiD3j//9MsemNxhcJ1ldsE+O3fMMBGag5k4ZsWwbARzXgYis1ev5TQreW0SIxnL1GgEnhX73mbqTRzwCMBxwPZaf1CnjPA/JhcohwmW1SlyzIAiyyAE9vnvUptM+pre9K2L81VVCnCPw77FLga3XuNwQ4lNo0AXXHAfd2w4M/H/Cv0ln/MGv+lH1yL1k9pxbuDqGdVQ7ZMKHbrIuNT5XZ9zO9InGN4Hqd+OuoA8CIJDa6b1BTV1mnb4I2F8aB46HASTaYYIeUlTO/zgKg9tpmRuVLRJ2dBV5ZLp2T5PoqO7SprGCVcmx8moCLTlkWrH854Bq+bC+HvOmTpfYSYa1MLyqmH/fSxTHe4B8Wyofx+maDyrPgDwNYFR9dGXLAW2uRWtpOHAn1jTuVIC2OuM4gBiF3RyrHQZmbHpLGnLtNsFbfcG/OIcgbCywXarvHjS9Oh60q8H4hK9rS+KoO+I8vp4M2vgP8aOb++ZiZfdv6c0pql3g0TIDzK6mMRkEOS23ht2oANCeUlN18PZ6uK9rHDfk0Ht1xBJz5AvmvYUhvlQ7mpE0eqeavWc6UOXyPPycBudmH2kGeHghc4lJruHaesBOEVhQ/pIYflneHGv2TtIW9d+OwDpCT6MRhzOsSYXqG7K2ZOybhus164CHc36r/nZsPxDF7hdzlgT4x1uRHgUkl1mVt+ia6GeqxfqMsuBPUdEYnj3fjBWraJUHESCIf6OPqHQCMQf3PSa5io89IoNLC+kqPffyT8Nes9PVCnfFHGK9kpEXZ15YI4ztG8K+7eiVa7CZOY6cdNt7xp6zD5zTXp4pNl2Pv+Wlm+jR0LIPVkjIbJXlyP8B6T/upo/3YAB53s/DP37w4UH/IwvWO5CjcLUa7+X5PQuD93butWHKXgcxMrzixVVihs6266Q3yrAsUwmMbZFdwXywYJctxKCKMOYonuKcLBnxo9GxkOL/6HNq6S27HTZNAzk4L2/jaNlsWFF7N0Bk4raTOZGbw75BD7vWCT9i62rXNgUPwCXKpmxkt8HBGnHK5s8b4yBXkHsCcDJ61OX+x/vrn92XHPcHlZ23jnCOUHgfZADbLAD/fIS4n1t8vh8j/kj1OzW6P5Lo49jqtArIHHtomyJwNcIBH5EKC5iI5CYjrR4JvTe+PSwP9uq9/ukmQZ3jOV4eIx1W3Be5EtJmnwMHVy8J3rzR7VoHKILeveBDjVABX7ddeiYCeAFYpXRUaH0pl+i9d5dJh7DLghSyYfnmLXhhgB/wMsPJ2VWnMhZguh3D6gnr7VgB+V0MK38MPrGtSztYjvHPA0FuvHka33sQ33F/vScuzOrveeAgYkettuSGTmX2E539KupULvPflxwHcmo/EjmfcYYTF1PIeikYrfziN30qT63IzK2u8dFOj9dXIYL4fGP9V3drmzOwVcb/qoY7bugc8a9e0vqnOE1Az4btieNfffz0VqdHPtFAh0MetZOh0MDx2GL3Ceff4hnQkxynmGrPH+2Xncrew1Y5S9aZsdMtosiSuZoA9b5hJBnzR3LOn3I+bWtRcd6qDHy+/G6MVB4yd+5lQmlISpzlwunycE8ubEqeby0gXIvqwyk5f6wg/jLebdOubpOxCQjUYXRIhEhty6r0YZEGiOC11+qAhf6vd1Kq1fmHssAyAmwy+p6A2Hph1Txd9L/pv42N2B2y04Rs/rYOY4dDMz3vuEaXwjGMrXYhPciIOLJ1pNzEuUAF80qKRv+Pudk4H/gOYZA/Y6vW+8mMQfxVszUoWP6jx1u3sQEJNk+Ld9InxIi/mbEPM2c2qcArjSzwng/Giw7nJM4AVV1Brf3dGWxOeZRbwGXjbTdEm29n+ag+44pU3jO/ffpFXiCvAn4gbzpHYtbW3glvSIW506JQ7BnhoVrX7AffLw5R+346n6QtT7Oxd2RUdOWGneBgPNWV07nuIyZPRfOTPM8r/vus5h/ZP7/qphW8d8sQDXlIqa43UIn+Zg9hRSJpYY5mE8y8X6o12gBNc0sHPXerKvRRQz+ziBhwzKQZ2l+LsKFZcyIb7kNNfHJZkDN+lXS9JN7mSGY9mZR0Hv9k7VycLtpfEqIz2I8a56TvEW/KPI2WA674Y8p3jRv2q0/t8DC27YvHq+DmlgGNjFo1EuY2TWPiFAVYFRFAV+Q1UlW0xkEh9vq8OQv0Y/9OC8S/Smp786YpzWIkbFDxnbMy8lLhf2GbryghDNWCAj4JHbXrzwngjKbJYP5uziE/Mxr/zytJij4rG4unzp/EMLCU5Ds2jtuaHMvNDgF1LikbAB0HRybnor0Y/4lM6CHid7+ygZlIreODgfEuQeurEmPyIGf6F+3QJ+ov5tujWCY7Gc2nZ8EN9KuCpUjQPOsS/hzBZqD7PJWC9Y9T86wtrlUNzWCca/8B7zHYuio5iRFAHTI+O6dedn1rlDjb5ystOf3pfD9E2gHPJW+Z4eaK/79xOb5l9tpTxHaJGszV2Cmvdw5rNoc6WwDPOqcBt4fphPTQj/D+xX5qbmQ+QxuMSeE7Cz7P6p2PmYku+ZgM91RdLbTSvQy1La7RLxgOOmreddQZcqjbJBhX1Rm+hZgXlQm60RTbJayfbxN3eKW7HbP0L1ajZOalHN4pVPeQpjifanS1pB5Z0XrOc14sKvVQO8gTPysbU+IdowUJ2P5jn6IxW2sYHHjHI442bmh5N2qSAQWBdAkdrmSeRLBQ38TbfxEancsNuuCW6cOzHgV0fWe6/+m3gcyG7BcxKesuclTWA7x5VhC40fO5DA5df70phPWjrF7DWFtFPidnDwka3URjvZxTgCKNE15fa3TqZxS8iaiao7xgze+Eavfax91TrrnLGpuawKoVOAc9vDoFxm8BstxDDPajYkB3h2sy2bArLHogLWDDHzs4qHpW1dqU1yUzLW50rDRh9BbFndF4w4NgWPvvV5+AQITnu1hG2G1YLEijAK7KVvrSwT8NpOFAGHDX2GfBZ8jBeoh8ue/Yo3S+JS04cdQ/av0NOa1xmbVfZJrlh/n1LwvMN2/Gt5uNrZv+WdavbIYT3Zs0x8KMDEe93AnzHzCHuF5zgHJUVN30zMmAC7Vg37eogWIBD74x+EXznvRxiXbYYkFRx2xuvQYTgGcWmP8tky9eMz+/Tc8ONBbPWDm5rWznJnbrfwOWKR9oaPZH1p+iffveGVy7AXYAbF54KmybrVZZ2MoLY3RxbWcAz/hGtvAAnSCF2/WyRrLTIa+8rEEGyAoByEQHeELfp0uc+zeRUA+SFhVkswvoouKss6WGRWFkbQC027r+FtXPWSdpNEIuAcwG1ZX183gHOIG7iUQ0833AHB732iEYcsX9naXaTYNpEzOJeZrhpKK8JIwP8QNngu4DfCtb6VwK1qxji6Bjxpc4/FvizCNDifOyQJVsFdaRbMQ511XiU2+pWwNp/1S9zLg73Zh07/pXwuGFipqWNet7LgAMuL9rYN35lzFVvBOLgkPMf3kG2dTyWdWg2MfT0hXGMT65MlDMD+G0MJ/BECJ9CmxfGNp7RHh6Mhpc/yd5aEVclFfCAvasLQhvKrGlJzCx1G6/gcy5QwzzF4zdm2WEWpncz25TyOMDBfNgtarVz4gmeQ5iJ5kB7D5713z72Z92xexY1n1DHemJpUtjjUjjSzOYDHiKJ4ahZN5vzYArXfziE8VT3V4+7ZgYd/ZYBokdmiyQnCGvyr1fI0b6EulMK1Zh+7tdZW2XzN9F+W4Dn35TpWbOhdsHvASP9JOhjgRzKZWCeNTpk/dnM2McZ4HGmccx6e8GOLXiATzQ4G0/OK6DIPnWUfwhVLnqvPHbytacHdVcWde9tk0Vdk5wt2I2/qjZ1aT8B5/YWFtj3NFcB4x9uSoOH0eRTn9O2zBtfmngS64UaDZVcnoCb7dJunArhzZJ+28BXzhlCL2zjHPWIlC7cqpVpCsS3DIo74Ia3WifecRP3yhoXMzeZ5Y1X2PpX9POUMFj7kIlFAD/3744wvXY59kodO6kAvGwjmrUk45vaqAu89hweLCKo7gBr9+ebElOHbTyyAHPCvl3Bvy8U6jpg1a9j9u6lHTrsXc4Mp5N5vCsWX0Ac4aR/t9PhbCWhQjLUU8bUA2obgJJgVXTxC2/sqxwREk5W/a8fKFdOZ3hAL8O1JTbFinbSVkazH9ZVKfgd6rzxkcEpR4D27FvyeHcKO3azYKIcVsKBjYDN8Gj2MEphazmoP617an8Y3bUkW1LAlcgvF8wAW4jUbaLM/YbcICHnvQODNec20pFsDTmEt1DzTF++zaja4CVGZYSlsr4fWH+4FfN2xMzjd7oD3vTaZ1sU1BPSAxdHT+9FoydFE8itJefn1O48mk2acqNlsbrVfdxUoSercC2UsLes1UMS+UbvdiQCD2pABRf2W7LZrg7U9GRiJrq/vi8mxFhCPQLeDVjDkteM1RaG2llH48NomChHh8z4Q22Amy+4E6d1gUWjcZR6gN/7QzQ6nKMfwebfcgH8I8hvYamB86aTaMx5b79yFIe1ABjUnuWCYmrebU6Y0WQy2gKi5/sD3BLwqJ9jyHfHgTz44u/TE8S58N6q4G5lzoSemgsblWXAR4WItzsXa2nqdofnhMrL66ytcDklwbcHdXyjoGxRKie4F8IcrWmOvhQ8+5KSr7Ize5c8SwzzG5qMaJ7xcN4c0McMXKQnEcqTYbSNLit+rI2WIWDaEWph8sqHTTZgKfNiJfMPD+hLkbUqz+y4y2y5h7sEzIm3wO2J8T7DnFtJoPaHiBAeIKiv+FRCbi0cL0sAP3LEw6xrMLHqWwH1j0FMi4i/9qN+Srhu7jT3qm3O+PN9OQCmfOZ97bOEeSkxZyRGl3xIoO6/r9RpvS8XmfBwco/hDCkRMs5jMrizIM5sXHu+6o2PD0EzS+GVEA+vWU5JISeJtl4d2DwdOf8UIf7KunWuAKccIzUC90tx53lQ32amdQL5WaZDHBpdtVSsgatcXR7JycyuEAvtEoYuJIf30F9XVTj11fCn+31RbXd/nv/k8TVp1UoZSQC4R2rOFgbcZAh3gK9x6qAtb/WpoqkjgIsWC48h1mQNeeLIu6VuA6fSTVMNI8RPdyMuGZPW+Nn9zX/dWXd3d4+1VTrjJ3CGNhuafb3U3jHXPRfzqXTMzjPkDeBMxLG3JVe96uyViKTDadPXufSxg3PgymkGdW5vsVV5mn7rEJLL5/VyZPc/nVss5FZywLItREyLtlUn4fPXdg3rNLWuq5JvLWLFnzjSKYM1xjj8F2Rqhp0kSPoKVnBleSjrn/cdVDn+qoQKRHhdymwaJXz+ax+Ah+sV1LYghRrMHZ7sLcDtAqUJa9znfqEF+fO0/lKh9kRHsNmrBq46Hdu4Ab7QQJ52j/rjRiL5ZvTaoIb/Gg8C7BrPoOZs5ghe50SGDwCujp8zWZaXVY4Xmr53yP0Qg+rp73Vka3EUJm83rmLcrUI7LzfFrR5gXQbnS21NgfE2SHJJ8IJ0vQkcWKtvwIFT47Hz4svS7AN3o0Pb9F5ZhAA+MPOiMXc6m3R6B5jwynPcqSC9ZJY5s51vVbcOYU2laT/9ZIHhInZYMHyA+BtYN8J1I8xDHErb3wPefs2ajZVWPXMJ1GK/F9FzHjBPu/hu/OcBGyWQqyT/hPrU+oALmhXk34s8vQNynDoa+YeMy420x7wK3pdjP0d7+8N4JV2OkJvL9ts9Mv6qywOG+pqF7xa3nvpRpk/vDerEFWL6wbt4MN6ApEUH7JJtaklEu3gl+xjwBToZXQ4TM2WLcGWZ72w2pb29G//Fql/deMRFicgLR53T3l5lFoJ3U98BP6MijwVwRRsQ4FwCkyiXYIWBZtW08SvWxMpVB+CaUTKQSyFW9501lcBtLKjX5yxXvzLE/d6BbGa0TznkzI69+HIM63avxPkhNljSgYgK6gDUyjhl+k0EniiNBrjgiDHylgBSOtInfooSh1xKcb5LlgImlLi0LK+0mlAizZlufuH98UTUXhWNfz0VNJzh6rVToWTeL0YrfOZlJGesU4jFuAd8ZheUMNqrEBufEfh7qOpx7TaL7Jq9QNoqBzJTC19oHsM3xBEZmrJk8Q9ri5m4r9lb0y+KvCS4AqYN5tJW0RGor2DwmWH8A3jDOXIySKZ38N0zjWJSax4UGrCzjTNzRl+HSqa2v5UhglzvpzxCFnUBy1vwb3hzNbpLr16syo43GQdMBtjO9Ipl9napehkDLiAZQwx3Mc76OS1a3ME7KmBNWSXEHe+kELoR/3pg1gFpY646To59bPInSfrJybp4Qyz86iMak8Wfld0Yex4po/SBB73U2vehdiw8e7d2Lun37viAXLbDYsK143UKMmTWka2E9Ufz8Sdl9icJpQVMw6aApZKgkcBlf7nVcBys/rhDOZyXTMcSsIbxPPOOCCesT228sAfUb0eGxuMBJ4fo+8ZCL0oHZHSYusQK7KJNHpWrryVS8HfrDWCmKLW+LYqwnTyuK8JQkUTbV9/XZyKmCzy3i6LSkuzssLaB/PLhKsBwO+B0qkPBzmp6EUp6DEicDOiX2bw9dmQjetWUrqYk9BbIGTfZj19ZqHX5Odm4S73a0j0L6xeH3UJh/TwE33ejkctP76bH5S4DNUCtf5Q513u39uRQzNjV8G5iR7GtnbgS6oHHE5bej5og6TaPnfFjtuO3nYNLqAsDjuKL8aAiYnxpEt4lRXeIeRvw7Jg4V1dRtTpk692Bfa/gPaUlGoeUxZtCjBPW3SMLkSwszEy/RdnhUwqxRa0YY0aAA/LbMWB3Sv03HpAiA/xRRn9eSH618JlEwUOZ3G7JPOP6QnrvfszRXFHfPm7UmVnaO2rARXnnHmjqQb7ycF47Kiwux86mCSLwFKaQurDWBGA8yDnKMj6QK+A79mvf5pE9JgfqsLNzx4viBXAkBWvZvwDZTYgoVsyNt4dc55LFM+WpBdgzPZ7WKWClx85VRlsurBc0Ej5+1qi4JbA2q96y2SL3Rh+M/8/PN8wWlJe0g4zRSDEYnDsRFpC3Y9+QY6DvmE0tQ43NH+s+oZoanybAIlLkYytYHD79Tv/513+JaHzOswAHYxSNRt8XcKr9qin+MaofRhOj4h8L/7wCdjReloFDzHm18UOngembvyXO2LEFveFuequojCu7eUsd4120XRWURwe482TozJxCCmvTL7n8KYP1Qf3VL8BRbOXVAv0QWybHDr8BD/Wy/jnfYMM76IXxdgm9m4CcInoL4jTwoI65daTvLECHUssF8lwqBQKMzX2JAFduCIMaKXG3/ik79NqfH2BNmv0GpAL9KTeFl+bIrvt6VeutlXWYJN18A4wZH3uMIEYuUHYuWcgvjPGJW+8PyKF71voCcBbEPKDKxd8cW38rQmL2Nndl9Kc58/TGBLyDcTjGcB24HGqoq9KrEAqzz4nA+vNxgCau8YYBh8XZ+lc5aw55eL9zpdH6twVK7MKVCK55IiJmB8ZbJWIzj7aD9/DaF71A/u8B6wfAKTzAEb9QY5N6ow+l4TOwBrBDbIi/+4GTRmpzJigf8HmYGL8EqGnMWn/i7P2WtAFgeGL6KB/1ogYZ4U/AsRPc86t/vtxZMyeW91vYvtG/e/bCs279aWaGjiFxk34Wio2rjDYN4IQtfayXYyR/q891hhHJAWufAKvuUs5PmOmt6iGu2qbfw7tOAuCDrn71EvfK1VB3UF8IBVg1XrJAD7iPf5nhiQ5+UxZCKg9swAMrqD/5ER5kEuJfePuHLG+GhAN/tWa/dGaInfpu5ioVrT3WKmfvGP9G+fjLUTnkuq5pANPE2B0jzP0Vic6PYtFmXxqwLC4gLzAVpuY8qeFDcEvCNWAk33i1NUUvT2bOWW5S4FXyhJFvctCKQhmAGOlY+6eBvDFaVCwKbG5EKLtmBD46Gq8giJ87YaZe8FGI+ZcyNYpOvVFnvQXMEh83+lGj0VJiDZiGn7L+vIJcc5c2cYpBLfCuz0LrAtb/qz/K1FTGhrjIcvxG3bEgp7Uj+LdFFi5wK39qR7rAc0YRzNfE0W88lD1856Hsa9PPZyX9ajmE07lGvkM32BI0MPjqUfXXh+kPrJbiT7svWeSp0oCH4DoLiiOjPww4cFP3ZCXCuYHXEzBOSMG7R9qrgQKCLHRgNH4eZaS3FeAXGk4TySaoV+m9DJpYdPMB1sDvkY/PnsPXfYkgdpXlJYCgoD4WN+XC9SEdKUZGav2b/wKM71K7SQ4Q28fQfpPdXNbME8bTWPQzfvowaqTNbHvSf99FYMP14s+SagJ17KU7FxvNcMAMFyx0ZrRExcl4KM9TyaYN1ExaAYfMaGcbbzXDQRjlv8fBXxmN1oxZkAvkFdbbFnCW8YrvpTP6BzE9gPNviWW0hPErNs7MzFaxDupMcoEqNNIh1szZriiK+4rrm9DxF+veL8rmFHLLmUCulQZnb8w8nRoPKB5r+9slrV8IhlxJm9R4dGbGQ8ZN5p2lXpxoL8XZSsV9rpb4sxCTW7YS1sioBfUZDjlwf/25M3tCz5m99A55iWLdMOV4G6xVUjJ5AUbiHGijM8BVWTC2SUiMHx8Rxg8p/J/GXWohXbbslkTxlT6mmDz1stGF992Kmz28Fl9xhHP6uf5iwkvhOgNi5lQc8ltw5WGj/2Z00HIUCFEsyplZmse52XcHPJmoz+ur3+ZgZvzphnQZGz+z5fumhvhRd2Zf8HrH/epyDLwusUkDtV7uF3bnQbIYfLJ309vObrZJ2MyFPt/qrn4ksM7gmfg0T6AenN29JX8hZl77UXaSkwdgtCVpty5w81UZcVlHeAKuCe/EoEtZ7IAxC7S9lS3vC8cCbBZ3abeGd60uvLN/qoU8jvn3vRyU5I7yqXW1KgsZDe+htsmLLz/geZoewj0RTSS6+524cQCcbQu5zMwF0XowuiHrQyY44AGFID/HJfdp3fFcWsn9GGDEg/MjY7Msu6Zjnc5KraMMqI2ZvcCbvznfLRa2ND69B17cDpsGszZOK9rdcD7+ymByICoMH+hIxLzktN6zSEJsfrgksA+s+74dKFpBLUpZKBnrAesG2zs2fRzCnkXfANuOX/flVVbj7B5QHwap6RL7uDVYB7h1n85HAbnKkhIHyviljYQxSwRY/tM4xtusVx3UKC5aZgOHmA+CAM7nPeSRbufEJ1iTN+mq11n2o4aELLWfljzuMAUOROO8ivyToLGo+5VHOT+r/g5xOUbFw3h4Pffes6QffcUbyEOKHUW8OUa4zQJvAqxQqlyuOHCzw+f6wpbmpUWwALjya4RzzEZ4RtOhGviedThJW2Vj89xapUXXfNYW+kmAbqrQ7mqNfzJXl8ADoWKMsP7WpDT+zG397JM9hOdbZicLcO0Qd+cXJ0qhFpLa+HYHqxWH+IcaFgPm8gRwfxqmC9QvLXveFtm78UkTuO/uHDU7WAtl6vL9P31t+14N2wvtNK8D5Se6oVmUOjWSTz2PFwYwfeC8I/v09G6T/n7ji7+tA0+XEU5kEC+8V8aL+6IAylZsDEUe0wNnwJHxHodGh9cDnoK3cD8DziW852mCOg7YbP0DnJ4eP1+eC9clddZelfOHbI1+POBkwSMe8Huht84R/lyxq0NDG3CgBhbX+GZGT/Yo4e6HpyydidDGT13sYM2Jg7EaChew91CG9q7kGtbaa4/o6mSiaSFuAGPdHbp0Mzyr+yEf/ZQZnW98MJhFaD6VAbnhjW/2q61j/2766hlgHJn19gbe8YGxqZfwnIFfPVg4LYD3VschgTprv3qWwkoYXG2PBY/HzI7jDHgB1BiSRA0uO73JHJJWbVxCHt6VCAGf8ILE9MEiP89stUtdffqnlxJbSStXsB4GWNfXwoaqzNCVfE6v3LuRVrBSorDq1n+DZ+gekB8YvHVsmeFfB8Dcb7SVnoriPouQSHIJDBW4Vstt2mosP6cCcnsGNT0sF+mWAbLhWjFwD0z771mF8Wu2Igcs+tKXNz0v56TFJxGQVeLAml+IVyzJnPbfS9V2HsRKIK1xl7K1B+unhzgJVKeM93RxDOwTXuC9Z2sX88TbG0+zgJDEPr+eYQd/9pCndQe8GGeR8lJxvh03SCuBP5llrTLmhcZ3+hgoDnwFYI5itTCe8U0H2C8rGOllPwXZY32lHS7rtsGyI3Ep5G+9cFKyP72UAO7IKs1eBPBsyqaOtskF+MZPAb/HodeIMIBc3niJG6fU/r7tbSAiedMRNiMzn5Z166/SYNMhubBeX6hQeyqmMqXxjgSA5YT92vuiypyDRuS0d+NFAnc3/c4HxJwS6lDJzN658cHZzrRtDoSrz+PnuyfC74sK1JRCzTa6ZsRKALuSBmrjhgSjC885Vf27RyOss+FPa7EXIs4SJENF8ePYnV1p9EA63lUcOFDXDFTwHhK6Q7o4Lax5W2r/nFoQZ4v6lc7dhRwzFa5/3i9NoxiyjQ/iztZnMeB7yka/du6vs7YdxCY6BogJwACJc/YU01Y1SOcokGd8oI0HSp1jo1+CgUtejiE6GN6c5MavLzE9xiSz4g0O4+zpfzdsH/Dr4rjpHnhTAHcjr5msX+BvRvd7s3eL1d42ulVTx8N1m7J6hvckEsaNNlzE87NFh9SpQsiHdvHAQ9PVvelBf3oJp9Uw3gnXEYece/ictvDsR8BsbrbEr32ApWil6am6PD3YQ5Wx1pyhzT1galkP2gIcjLJwBqxbe0fASkL7htPC2iI94ecF6s9MKU8A817oBqW0C8xMW8jErA8RSXbW++sZJlDfWWn6E+30kjL5VQ++u7N0mjnNCBjHPiCyUlYjZIBvZhoOcL5t/EGMXxpgsAzw7+dz/3EDf2PNPxmND4Xx8t7AdbXyvHOL1xliCs/hLG2FjuFkFVwbTQtJwm+oyWTLg+4ukc7Y59qWrg73tmxKR90pRx5BwGk7nKYt+a04NxoqLAviM9Td35LzpmzjpGAegvh4nS8fMMMN68lyHACLWCo6buID2QAvj0hg9kYIw5vSkl6RAz63zjNzgFflKigXo+MmfdIFwEdJrj6nG+OYKKjXkOMKqLGdagvT1/DK8zfg2oAamomHXpmE6VyF0oa1tcos/iB5+qjNDGtLCA6N7zymQkAup/GULNv5+MS6KiyRLspejrKtLybGDoFu965v/HmwmZl65Q1ymkrI/4EUKmdLbUPt/apC5TNIWVhzUom7vbd9D2LfEwNvq07OEvjCcagfLNcRc8ekcuYGMBzwBqMxplqoUzvR8nxn+zt4Ny9fs20h8L125VvlkovMtwuz7I7ruM3M7FILaSsaoxSuV3bjmPamNwFR0XWXvc1TsydShdeLZGYfpXHxEC9QSRDwpJ45RvN/69LT+rXP9klYbfjvpBhmjHlDCRimtEyvauzULL1V7taDdZsCt4AcNmdpf3f2C8aAfe8sCDzgx3391Ok42/vHuyUjCYj1w9o7CGXAwYBOvWZG6N4hMWBI2+irHYT6Sp1ZQn2cnrMROqapsZNx5kdJfTM1kWD6bStX6bqTzVH7NzPLC/wvAizQlUaHwvL+efEg3lTAtbPw+or5tzTXGK7ZBtx6hxrfSVHbUBMt0o9lxceIb8x5M8JJ5/0UYi0OEb8cI93uHPVWMuPD1PSZpU/pacJG48bomD09dqE+42D9RYLXM7zahThfBKzUul9/ZTYa02wizEVC2U0pqXb4BrX1xm8PSA8k4rRom+A/PUtBHO7XIbpmAqIl71aqu7vA7xeTg8xZCPBPrGzy2j9MU5G42aYzvZM5y+HXFtninMvK4HF4TwRwh2CjBcjukjym/SGKGQ/VOetRrji5F5wbv7Y7sYzW7Gw8gE3GvpeAlUjHbsfeftXKMxnQz5F2S9GtoM4niwilmaW917pwMDzPp18m/V5VetxXLvBh41efK6poOlPUPQqoXybPZzpGgL1RjYyPnZxVIB9iIPyY//XAfKU9digtHonznGXXWSu3kPsK4KoLxNJP9Vj/St6MUnw7ZNjaxkcoiYB3MhQDD0EZMBFmTYLZY5DxEVXOxKXpRxmAg4u1xdifh5oQPRmPPdrKjc4OOX4jj+mL5nwumN7Bu7vzbsp4jiaSx7bx7k2ETc2cZrnx/Yo3A9fGl0aSlBLTj/F1HKDWQs17YqkB4gdq4X+xsaJ6PBWndSSHEbg2+pFL6kHsb1Lqb4E3xlXeWEUvITsCvzV9ofbZxmbbCJnc1Fks/KfbdeyLG7Z9wP6ykxt55Ww6m/kmETSv3rl7yaUGnH6XtmY8AO65qEBE5Bc4rMeAQ0BN+lSCb4/ZNCfBdC5palFN3sxZ08Hs64VGv0s6EDdamF0T+8PbOR5PAY8abPr/9szLPWAGuklvrNU23Xx7x56YHto56RRPuvuttCHXMO+a/vOA/1LWZDjlD2FxvHdlk9oft5QmgK8CVw5wfZaN9pa10G59LxxvBxz5hQG2u0WnRxb3ict7yIFvddvdshb45en9BmsV6sndMb4olV3YADSu1VAs2PFCwNwYcE6/X/gb8IWFtvUN1os+6nFDaHrjLB5IAJja8l57X/cEuNhBNFRoEhdt4An0/aADhJ3wAHvgEUOUM9GcSc9lHYx79o+3fsnhvLCoWEzfYUJhTdEG8ILfV1EMNdunLPy2aDf+FEv8p7UIMXg6IpJR/fTtdvgit8ANVpCvm8rC/p9XkpCJoPIHct7bcxbTrZenrqPxhez5qaL8p4TcdeDxPhv8E+uCW91/Ay5Tf2ejxpc46cmv6KDWswnz8N0pBeA6C51hDfFM49+qt0Wdy60a4rCCKpU4Ooe890Pazinz8VRpFLKFZMLErx3fKjGdONVJ+Xm98Sh+nS8/Etr8Gm2P4wbqoGv8vkhaOLIzfbHH0PgAJivBTb9pcEn/82KutSxLwGvSAgxojyuBxi4Z2D1pdVEJchVaC+MVXuaN6XF57WM//nklv9/oRj+1O8rOeALYiXL1Rjqje+T+JR2UzPJvO+PMkYu8wnXb9cZ4E2O7zoH1a/kotH/JEKyP6AMwui9Fb1/STv8m//NdyiiSxgOD/PNSvN8JIpYcmgUwW48/1zu8JLcqSFbwpwQwk6tC65HYfCktvmCbzcan6N+s8Qx5WDVE6y/T8y0Bzwu2btJW/v7l3k0KGF/5VWd/wnqOKEsX2Reu0B83FXoic4mAdfTGPt9twA7mbBTun2yOSMXH3vs1a5i7wUKsdMGu8o02MN5o01sK2Id3GZevtWz0sXO1UQvkvBF37zcMKyflZCV7PMH6XxVt3JF+OtRht9B+xMA1Q8hnGXVTL+l1TqLxYvwT8WN94JCnmFYQ/3hbU7SpQq6BR5QvzKZ6o4uztfdud5FDagOW/8lsjqocOQlTwIqk0Z9nED+eZLGuXXI9MI8YPw4WnRe6CdxqUzwUYHIcXC/G4y0TPDiG3gk4Dq1s9NrvdRIxip3lPSpU2OXnu5tQbD/1+MPzghc/hufQq35tfGlu6eCPcuGIBhwdYd0ANjTzz10W8kLmsqhdnBypv5KDlLVTr8rFn0krX9x8hLp9L13fl6zZZBTjjEGsunGeMA8KMk+Aq0DNXI/Av3wa6CzlqK87Yvr1FxzpA8QS+qfj2UhKdQYYJS1s+UmMdi/CzzmB154DtflbwhspnbWZLSyhxpq8HdaBsquNP6kWzcrSW6lHmonxp/5cFwU1WgSNndhGYwGVUCfO0pERXKenAOMxrg4Y8KXRpxG5fO0ftpDTYG2gmXQIeNP77Qg8KrHiTzN3Yvbe2UYOe+u+qltZlEN9r8W4NT4/OIRYGBDmgNf5xl8qgXaQN7a8UwHU3NnsX9bA+wgfX/jQ4v06FEydIfeFid38HHLuQu29JZCnC6vJeV9bbBhnGYzngvsSnmfOhTobbbiiaw5Gg4u4JKcLOdRBbI7lL4Q2nUJ+UgwEw72/sM0lBV4mcj+scuCULroCz2wg/+xqlN4Flzm1jQdzcDc1l1gcsY0Oa1uONAcOE+ANYF33iQdFbB0pcU2PlupxmzjfZpbuTLr3V97Qil2XQ+53O0vGOIr3hWZ3LK4uM3UzGo2OY5B9vjtMFLdkKG5HrWzc4qSM1E2E45BE9eWpvReSHWubvrJiTxnfmtbXqeX97pc/HbNfZeG2Ap5GKfkso3hXWFInPSoqjWWWrSF7rz0mcFGGgFU5Aj5jt1XrD8duXWYBt1L7mS8b0xNVU/Ko3WI2+/emF/gQ6al0R+9vfbm+XeW+lUE8CTZfKh5YGdsuRnOTbjj8PJ+emguutmVgdOWgrmu9FwjWXzb9Vl1g+gdPgMEfSsT7BLCoFOsT4IhHwpJZMet1xkHpY+LC9Mt2uqydmNDOumM3hVqxdSrELJU3qOK+SJfOzpB/SYLRV2j7UJbKIM4bqPGEoq11DLEWOU6N5wpnI620ukrdUG7r1309dZNUFDdGS8zMdNMFfZbBekycaUVY4ir64QLvZMDbPg+Af1P2Dfmku1XDaEM8OKbX6UhjVA7fcxkGS9GbXoyn9oRDkfHfSF7rCz7X1sDHbzKPBXxXkS5qewxsyHdNXjLdQnUKgOdyU9uki7gMPa0cT8iwuRVMeRmV5vxrSHrvUfdmjATquLCvKYfabRezRH9aOoxCjVMhgXyMxkLEMbZTW3BVlDxGwKELmqMfJbxIPvk0wTXUFd4WduE0IrXqGcD1V9JzwNTSVUFx4eFYVJ/Gw0wFaU6aWr+8/K53o5te2iNiRo8h4lZF0dsh5DvjmQt5F+KXcNopWdnYaDkvB2CNapF3auaow0ZLYDhw7cveVfB8dW909cveHhOuLkfks2Owfs07rGSQzsdWbvYucrKuocrmvurVp+FgfAN8hcsE0FVRAR4p+84q2QhrFdiKmxiuxVIXOAxXJQvfPYjLFLCl0Vz5ZE4sKddbiIfXdxV7Zw38Tb0dg/ixX4oZ8qrRGf3XE2NmRHoNeEqfVZ6uVF87BKV2yREvKDJ+v3PiEAmxAzVTnoA/PWfyDG+gLTc5bioW/6UV/CiEktiSHbz7C+4C9xAlt5rJ+zEPLgry4M4GRu82U+poyBiQq3r+yy2o4YuKDG+q+vEN6ppt5mFLYXtSb+9lru2yhzyeA//6nzbm/rCRkCn0AWr9CouGH9n1nrbscYC6UwbGf4Fci8e6l7lvM2F4sG20bO0j8Imy0yvVbl2zL8RCzya9Zx25eksBY8P7C4A7Ibje137vqQzxT+k8Z/YX4LKXSn8/Dtm6x1Qt9eM6H3t8AbzosCFY8Y3xpkkeldlz7LyWITanGm0hR3WAPYdDpLZQ/7XhY0WHEG/5WPfWC/fushbvSsu6mfwJMXCvEJophyvPMeAntuIB8AAXecAXtvgxbUkHpZCqUeWdY3I7FrpUre/B2gIO4b/xHv/zoqBcHrhGRsPjv+8iFbMuyWnyBfpwMSMzPDtYZzbgXd2Vxu+Ny90xrz3VT3vG+TZtYwGx9VYMtQt8+Fw5KKqtaccG/5NEqC8dklW9tyNwnSWgxL0zv+JwU9l8o7j0qH2eD5RMUH9CyuxrlhcWtzoHB2ubLbFkNqA4Nz4ALxqKdnthm6YnQ5NUG+ZlEYlJ2GxrjnfYVoDvZAL847fotq5AcvVXv4zPGIoBv8YxBR7DLd4Ybyao6QUNZ69EzZfY1G5mkx8W8B9YWdNRN6e6T5ydpeXOWQMWX1nk2QspsyOVRZY3DQ29nrnAfBb+0gcQKSNDujS+csZ0527txJmN3nwgH+922gE3t7p/mvyOcg+fV4sFswCu9Uu4/mGA7YCLrI7wDPauf6halPMIe4CxLwU/L9mgL7X+Oxs98EVpiKIJL1gX3VzsF+KVC//ioZmFwjci8JbazSc8kxFq1AI/ip3d3Rj6driuH4pD/euJc9gQH9bGc5ad9I00c6h1i/bqf37ZGHgGZ0FTZrY/JaEHtR8FyQCYK5weUC/P2JabcqMAL+NctP5U0+5SuI08AK5LcxQCn7NxNN73j3UnjYdPL09YkP/wvNnL/PP/8nb2x6rIk6Ua0CcWxi1zDNKWB4CNHxC83MxB7Wy5ygTaFosmZtbpqd+CmkRt4h+jWY1dmQB+f4PnAxxqpDvn/XYQfH+M4iULPfnqTZW9t8oAVQJGxuUA9dghpQjkW7mQRYTxluj4t2SBW4uz99wDQNoXAuqA6/+Um9ozvBI4nm3mHRPgdmYunIVmD1cfRDAaX/HXOawou4lgZmY9nrVPU4d3MtID4D732MZDbcmv2ka65B+rI6y92ko91r+7kCs4caYrcZsFcCK8T9PziE+MqdTsp9bdf3orefyah3Vwrvws8HSlC1iv95vRua03WtS0AU4bP45dcId8ucULAma2ffDHOsVCtYylNuSLsfrngWwJ1nwa/yHimJmthvEWciuKAftMr9hIaqG00Sgou+8bxCCBtQz3hvcCcBvkpDkJzNlMMZs5SXiHZ5LrDkcEsT69AI9xEzT+CBrj0optiXQC7zVOBuCJwTRVgdRMxy//ZWQ0WAvdNJlj2TyYy8KBWA+nsWo/bDNLKaKxz1pz7p4sqvs2c55nRmUrQplWdtOnHEelZbQqpc0HHZl+KmLH//wYNWDyPH55m1JJvy+YIwuAV5kszWB6+DC888zMq3yunYMgWtLU3N+SGF8GeIZVfr5hy6bUhbzk2PHeJeejgDxl8bZ2+S+slwwDR+G8mUQrX7FxV5G0atesW5XBrx0K7xa4Gik7eS7s77scAEm5ejKqxBCzV6h/wN3hPdDUqwLyRlrABVHg7Zdvz/hmyd70+vFUAf7YP6ZLdvrzrbBp27AiT4GHIgZxniYt1MjengknKbHGXWUFDuSdIKHarFPnwJoz4PiQMDMHuoa1iZ1DqDt5Wq8E8GUJuZ6I91sW8SILx0+VvTwXrvD3GEMGcOG53A9hsVLAZUkI+FWg3mjcAObZAV7UXFzn9NkPXwB+13CXfCXMjHjwbhfWGqVPzaBkkRvUZc7UYrvZQSwdAG+99tneIFZlwlBC3I87zr894He/qW08CnBSRePZzAsWgx/S0A5KIWW18ENq4SHpghvEasvtMT3qGBk/nSqURdLLx95Rj9TBHLhacsz5S5tlVQJ8KE3PEx+LbEBjyVAMPJZkThPTXK/gs9wsaE5UxwPP1jbtzP6+8UEns8w/jOb1vRL1Qp1RFv16LiBP/e2pZ1MMNe91ll3AemM0iE/i6d/X4Aw4ATOe5c68g+zIKt7dAejtgA5ZmWXnBW/MmbJvcj5gCg+eXSME+jX91fWgrzSA+9+kD2rUNBzuUOG9dA+8VADmcpsOb9IZ6487wMcbc/GFIYTqbpwFwowuuFeQFw6QK8pFpXhDLmrhEr4DJ5DXOKz3ylGUUzPj2yxJoOaE4w3jOAcMGf7lXsbPEKMHacdXavN8Z80oG4pV2nkBYOkfHlxn7rzPGQN8iYJ71uE5ZdPnAenxnzaS9HCIY6Kb37JvPiEXbI8b/Ws0GMgmmJNs/Tfjk7a+Ww0kV+7YSor9umvEAeEp0aTFQkL+Rne4Xv30+dYfq0Q0vficNIG1hZ3aVZutWwXdLenttuwCj1goFgidk17/JA63aS9f/aKsFPNOsvXAnOtDAhnnzjfUJ/J1zJHZU3hkizT9tH3FvPYI7L5+TF8qmIcDGhmxudH2D2UoM4b4XmbvFsSgmW8+wXPOIQevgEP+1eUyNJ/vjYDbIdeTzPhCqqem/zc83++FRulSnqZHApjoyM0zXt0km36pHsNCnF14vpYagO8GcYitwE5o8fgPH+al6dXux9cM3dn4JaePKTuytdG92lQRf8jIeGF6XkXjtI6wOGzUJMTa+N9FaStP2fAxU6PR2eo3CZyUuMFFBuRE2q2dfU6zoDVwczJBfTFeY/ErR+0tu82C2DPd6bD+Aa+M7AD1g/XzXoZ4l3XeuehUDLXLNfsgaR4v2GEucOWcWTaBOIZ6P6+AQ2WMA/ZGH8DIroDVpYa1uRGnv7Ps8ohwzMVrhvHuMAd9Ao7lxwBi02hluT6HdQ3cljASNWU6fNwJjdne1iO3EYaYzgjETa1lrDZQC1u1PXCfJKGtiWgwgffy15fCCxvq5aVy4ukYmTPP0Xrqrzm20T2ViRsbffslC+ZWWc1ZOclNWs1JRN/A+RIbUzNXj7eJmbUTZu2ercSKRdIjt2DnOxF/ew4b44HBkfFMqh8Vm4dCjMneLaydzS/V0wu9c4AXGF/VPm31r+kZqYMmTR1VJK7fFUKL1BlpoSHu3CZKmR08tbE2pEjYCvL5+rXf67BsEhTQP+9QKi1MCwF5iZrzvPoCz3ti/eQ/NU4cnsqedMdQHQAv/dJAfZZtATzFRqk1UcCvumbaSy309uSVppeBG//K5pWjyrpbm95G46M9Qh14JNn0yx3yqPIxIUFsPDA2Sa4ywO6H0t16sj8bDey7GmJSBcwuo6bfL9rZW8CH3Xg60OYM1+ocW22pqFgBnn7FRi/MrMMgL5XQOrWCeefEw86OJx7qEjj03miLE/v7hsOzwyJ4Jxs+k9DMfHi/5TAWdYhHqPcufJ+bnADbh4Xpm7vsHmu/DmLEAvw/bm72/E/rXp3W5wR+pi4+iAEnUIO/lMBvCYvbLEe8dCZYr014hDUPsfT0U4e8nvMA1r2NXBbYb5ADzyp7dxNrvifiugDPX0Ft/nrtY5eu/lJUyhKZM1p0I0ZfrteyYhjqGLrhzv4BviMhp2IWBDdYI+fE1oMK4f1uGqsS63Nt9Fz753nnM6dBvF+SxYf3zg80wOOLm0P9BDzDXeJ8W0anq0b+NntMb0eBNTWed/a4MKTMvG9csjkEPkBTZ81xMH8eEUqT3P+RAya4lW3Cm/80Z9Y5C6cv2sWICPXKh3G5iZ+4NWXqE4d8VWrfOLG0hwDqAmAgGgAnhSWrgi1kCu0Wi/oikV9Wgc1M39sx14L16LZz7Bs8U0GC1Qxr8GHOkEv4/xC7fxpcwOdaFnpf3AoWYK1057KFRKbnELhHB3EfAPsAFKpo0yh47yyPA4jn836RogrwsHOYDbnf6GNcjN6R6s421mSEervndhzUvffqcwC+ymkJ6+DpvxOu7QpwdppjrIzmC0sedRuzylw/I4T0/HxgUDbDd7fsJ1SLeSQcjVCRy+pzDZhVPhTUBKM1mEX6LLvmBhH/6iUWnCrfaIhnn++3EnID1J8UMCSqNibXSuNvGD73F0+Tk7T8E7hAS93zDDzljfTvpofkx3gqqmwy+tQlrOWcs8Ti/2LF+By/9lIw2Xx4HGKK9esQOE0MdeUihecxIQOIldUR1XczQ8Wt94W32uMMoEwfO7Wlb8pGgBr0Hvf4kg3NRXTNBu6nr0PEAdtei0HKQ/j+mq2wcU8o1O6FUD/lp2mEd7FiEfmthTxIiCtYbzZf/DxD8VWaXmSbxPBdRvuSH8zMaI/2tfGJG8gDatwJYhhy/Pp2CCyj4TlVi36djZ5Uzx+AZwfC/ZPMzLmJ11XRUyfk97iRpLKwlS7wKhzgJkKHHHULBX4PXHA+ZpPpHygrLieT1xTj24r7V1hzfS08CfXoN6PqxVMOz/3OHp+gPvuCfa+qYbxWXF0hP5IC/i/E/8H0+hTCI2lHwiTSUxaMDcSmlUU+/EnzJsW7TaFGQNxPtQ2xFEyaA+9KF3lienz1Ayw1I2UBazhz/RNgSA94DETDfa6d9+UAeSFDWGYbskAMa2I0gCE3Q35ejsF6R8KVY8644VqWnctvdTjtja8WYJbHkamEt1AXAR+99kUTM1fdrW11erfZU6sqTijwr9RBdsZHC2rAionag/t4q7MpM7NgxT+/KMAlxXIUxnNSRlVwdw9MNVWvOI+6B7d5yRzvWv7PI4MK4Cx7Z4RYb56ag5A37cQi027Rh1p/Q3xJQWz/ij/Xb4B7fLr4WnYqT4Ya1vD75Why7EBW/80JzLJbA2oksmBjRth6qyLyyocZBwxQad/sC68A/VyoLoBn6vsB+cvOlvtEQB7cNF887x4i0oALP+5HYMzw7ku6wD1QjQjCO85Vkiw6MV685eafT67QfK+0/Os/5OH8hvPtClPZJ73XQ72FWoWk6u2ImfOK7Gp0pSwM3LQcmlhapKjb4Fa1wO+MD3gvLdo3fRbGXQZc5hDiLAk9ceC4o3kTZcNLq2ry9rafsg1g50CNXJiZSevGNrB2u+tstEX4sF0d2NTuF94Uj/cbE/aozHxJj6USjQV493QUW5ssW+AbSlSP9WPn6u1hw8OKqbKkxPvDvZ3cZrmPStNn0MZd1QeWjNgsoviQPEyPpx9lkcGadll11uPI8U9qMHSuC2zO9Bj2njrSG+Nj8L1wsd5nLW7Igr+YmM+1E7+wzZg6/A2wSciGwONa51UUjwV7n43rHd0kF2qPbYWAHwu1AX7q16z5MZpHko2uctR/Pe33W9bf7WzRc+1KeQwIOXb2GxV4mw7/x9SXtSmqc23/JQapqz1shIAosQgZIGdAvBohIKWUIr/+W6n9WO93sA92d6sMK/eQrKF95331oMNDHjYPtmqGh8TDQf/MeqOr9Nd5vD7B28P6Yg+5EjNvb39c8YN1oF2BZarXXMK1p4DJIQF+Jhr7731uc5bAtHbqfvvOcygarTBn2xv4SzODm3Ix3wA3mKI6roN/60++RUc6GpCPhkm7GrWdiTZI++Tz6Mq8HP5tDjZJf2Y1rj95YjYNejtz7ksaAy+h9q17F+aYOij9la/EoyxhEvkEtNEnxOxq+p3U0XYy/QZgvX9zgwUxQodV7kQ0V8xGX2Lk6MT2VtPPntLMSW0eA99o0OgjxABj1H/f1385Y+HUHZy24sPyM3cT67bFjsy4m5RpCO9mTL6w/mf2owLKJ1q5iGNrA77/p36P4iF7qNHf/9SZxokWnUprO1yI4NeUJ29eTgBL06NTLqD3QaxNA/APPH1ckRhiRehvDnq5EvA+WbryCDQ5hfcOP4WHxa4otuUq98o8E2F6EdmH3/6/Gn027O4CJ75xfl/DmgFtEVfRdjDzN1lkev2QL8HUATubDWiQfb7bBhSZXCzsnUcylcM81kMSV2v7VYfemo5tmUaTr6ynfQokg5XPBMUneI60caw3L5t+EuALJQXsXIgLtBJdbycK9xGUpkbmS6Hew6HniUKDu0of+YrhmqcHcJF74o1zdNvpHKG+QaTMwYub/Pl0NPlYlpvHbSCjd74NxIrjfVWa9LAWHdPbl3Z76xwkpq/I93kArLa1Y94JzbeOAr1BXtvkhFBCXWRmoc5pgDX4IR8zgko+OaBXF7j2jxSul0Y4AD59z213zuPfFbvko4onJofSph16KdBOzFa2qdkFnSUrbvqj2SHozUPdo6DSvVN1yUjF9qeXWA7xnbHt0gzttbJ7G+5NNuCpGsAswO7n7/sq2o+yIMBHKjm6eJMinqT9/Um4MvncYZ7Pn2mQLKn4nycSNvAVdqmQr0a3oanjqEbUswFfaW8zTn3wpcsR/NCLakxkgH9jvnEh5lH/II4dqnjaqdB65nZCcsvUwmzTmrINttrXKcBPzJbPaiQ+Aw1cd35RFcouh+Vg8rFJdHdqR82414//znyvZkbCiDv+e0afDV5hesQCYthmvxt8wsrGdFPaOj0hmVSR9xTwhlPUIohXs+6PwCEr+HWX9YlLIWKyHryHo5fSUu4ZkXvDMQdddgSMuZ13773KeabcD1mhZB7u13r8a/Mhs+QI98nR0expZuClFXu68jVT0EjfZpZJE0hPFckXPN+sMVq8U6ZfuOmnI+BzPYMLqIe72Yc4ml7lb/4ioTb7VRaOPPB8zYaEOGeWNvVgHAfgE5FKcMG/MJs+ZEyO0k5QOZDgxCRwG7qLqNmcR/yVM3ysEXMaDtd82SZk9P3c9FgIf9dyKzv1Bf7nOx8zF3zfvaQtqcDzwbVeGZt3IlBetbINY9htQgvMiY9xoDOGkm/mkJEwbeXAL+VKHFM/k0bqCXj9KpmGz983gqJfD5szzwFf6ZSd8SXbr/T1ZyPAG+KBeUeLvNJOb8QwT4zjTZVv15OZmRq3vbKvruq9r7T7t3A7dUHLJKX+u1ExGuSw7Y6gewBTpYj+Wb/vy/Tiu2wzcxYAK8rUDTiUyhB4/pWD9wbdAGBCJvDhLlzDTVD9Au1mn3UL/NJ74CXAP2oHFqQr+QTrAk9it/3Gw+ZBhTccXHx56/k87O2fHAq3BTb6cyOBnE5h+ymLSaeu8hqdhLnLCQ9tylf5rIGvmZu8VKFNvpsA3osODkohJhMG98nH0s0HgHLEbmzUnwL91rX1lQC92eHDOcBHivYP7rZaxpOZTdFS8DSgcWwhklT0y5FruGa2DTNqcib35rz5+7CSWYXeN2BiWDv20/TuI3byKLn+PuXb71O8f5/5+qV1XSTDH3n/5wka3GlCFKjXHPICgcczfQyuZg/5Vcc+5QP/PDMLNNRkzsQT8BRzDTwJ2uNq+uKeKSoau30pJEdRpI8s344Qh2/++l99MsRMePVKqwUQST6orXvQ9zJ37BbWXkYCgmXhg0bUmHUEN5oUuPNjwN2W6/KVW5P46R/UT89GoG9YZ0XFkqC20CNz3jNNZnhG21DB+jwJ6ZTF9A2cc6yi5GrmDOUW7yoEsehsexbyZ2bpNvvRmMhuRvRRsa17QgY39HdpJbvGlmPqtAlBk1+D4igF3yk7fD/Db9Cbu5/zMo2DOpyeJ2b7vDc5WvNSrX+ftQv4jwD1WfNKOSHqtW3rsN/Q12ynIdkpB1emp8CJ4htm5Y3ZCQfM92mEQBPtPdAuv2fZyuVR2ZOKRn88wMI2HXkKepDzDtk4lhhTvFJ2dVLAb+AoCu+mTTtAgMA3ms7NQ/tWrf79v3yXqYTP3UumplzsV8AziO/fnCWvMrN8abgAB4MvLTe4t40/D04F24Cu7kRBujSW3qnYe6ZmEMN3ABZ65x5xeZlx3v/bECc5Vvq6kQArPLQ2VNyBV0OjuT/YiN8aoFQjzms3SXOOFmxq+sXs5kU7lyM6pvkfqx7swtQ2N5YsFW0dWA9fWMxxLkxud3vPO/+LruDb8u0n6Bg/De0vM0OVunqtrXk5D78+JTHzOaidbqiTfFFzahfun4Sac2CyS1nyMOdo8Of9//ZoPXjmtybcWLnGccnazxy1C+khDp1WpnAvGN5d1oXr0UmikupWWvp9bh4KgT9OAWi6YWMfnA2sxcX9Xw81jJEyXaHM3oV7Dj3DNjl3pxH8u5mV5fE46bnZf+iQr0LwhAPxM03uWOOiRnrPRgQe9reujWHT9283X+hgPc9i86r0HvTP1a57fTT9MkpXfqVsvvOAZ7TjP/k02QhYo9sdLkCHIAKaAhW/MzUus856fAT8uXHwcSl4pN86KS5pxRXorP5x7tqMRgvOCuKcYpyd820lBehdMXHgbk+MvnUqMCYhMv0LQmIlkaCyOzHPYkx+cmcOmOmXpadWRMvLnHWfKX+fcci0/wNezjvQWKZE4FtOU7ju66uyktPBbr9pYWr8vUINcjX8wCxpZph+li5bM2tySdGaWTiLwXfKmV0C/poe88QiD8naHaPk3cMklI7eKzP3EjC71NJo6j3wo+mXTsuCD6n1XDG41XJQJzoosxeyP1+22ORiNpHWOehkwNNYOdtvZeMjeFwX3hlPmTfwy3Z/Doj+1b0ddwW8Fdb54NuRqVt8Nf3mdnTBgxWtw7veAb4/URunrFM+aDIHfNwX535EzXfCWqkjfgLtCtFqaj78C/CtlfZPN11900/0zctmP3KDGdan3daiwKM5ytaam/M23cHvW2y39bNhmoAHQUvKD/D9Du30vbanV2a136lur0qEt/OAP3Fo8nVRUQfAPoIPVNjtKWbvtTwxFL5qxu/csbvG9PWywSdHEyBq+DiJ+XJiKM17r+Duvw34pau5bxItjgrbrNRIcBvuR/fPs6lvj5Z9LhbDF8BxZn8T2+D13nEYNWFbsGhv5ml1mdY24UkC+jGgnZRsNL0udCnClp/E1qvMvL2RPDNhH+HPjydU2kdruZ+pPxo9DVwBfJFaQgBYFc2D59v5JMjvjKe0z14nRm6Kt5eG2RDf1gbW8qXslwA7zGqihZ0Q6CPqF+Vgaq+3B4gZKgaPpb0ELQDYjNLlHOMUeNNuhCmB1C/gzUM+qKcK7f9vDoL+IhasOSexzkIVFeVXYu8BTz3JLPQC7s+AF2wR2ZWZVQqe2jkFZtZH4+avrQW+86spWtN3b8l/vARgcLF35Vi+ypV/c8Ch/2kbV0Z/FvDtGwbfVfHeouMU5T+zX1GRd/sHLtAXpv5MVv8qRsDe3Qy+leR0/NHZQeaYDgUmD/W65DZ/mp7EmZZr09/d8+UPaOnf2TqvxoX195o7IbxLarGlDv+tgoKuNHPvVtw1QTscra2fx+SkYvLRBP8AX8w58tPNhvBp6gJBiz+VwY0V386hpoRfF8rNXjGCmOvf9Smvg21mWBvNNYNn9RLBsem7Kuu+Nbm7c9bvn+f/+qYWhOud6QeVUZkz0+efJ5TaBNw/80jAJcTmDny16QUKn78+arY4wIVvXobr/OtWoNtLrg6iNxo9uR/NjCBb+ioGXitAz8c8YlEJ+olf6tHntSa+AM+bCvvHy//n7eVdAr9wM5cg5BtK21PqyqGJ5K/Gpk7qViFPKtSCB9F92TWPlPYb8G/xKVYnZZEni7UPmPIJ136rrEUIrgo1Tj14txR4Zc6sWQNeJmlRPk7g4atQaXN+LHr1OIXyraMGNTZrav1zlSbdebAHiJ0bcfFHHbbHstA41wjWFdlkEP+ZyxG2ksHUE6UmX7CQ4jz6K3ANBj1dNix5pav6kF27A4+A4D+JB/T2KU8VTWamFBfxHnyBvIDu+Bah/pKB6UFvxzie9sDnuYqeT9azJ0McNfpqA2+33MyB7pdLZnl71ZMS4vxJrL2Dnenjpyce4LDpI/C/37rXlLiE/XEZVd/pWi5Hp7UaZ4myUYOmUZ8VYDx4VrvWvZlr8SWob/oge8wmFxFfHeYk7dHCgVz9njL95FxL07+rFuV6cOQH/P47Djci2vZVuCwN50/meMLUq8JatsxelOkJlJscMmcxZyeVdLhFdvOah7jEKwCCyRcK5EOZHvEFvHdKPBbwXcaZ6eO/55T/7Hf9n8aejs1uJsTmnyd2f4ACjH5yKKgfNxTFWdcO+TjdcWTDelUBHaXZZ3nUCAWlsJGM+JKbs70QrARNNo07YZCAzyZkTsUWVNnlb0/dJvIoDnpXhn8MX3c44lGFkKCO94GtzQ276QsD5+Zx6/LeQ2mhOtL9+OVvGu+XytS82MnuPP4FfzyFoJM2fEVt0/GKCe9+cMl7fbmVQLdGQ3RobGairqbmLQ9+ZkSGps8+PDteiT923fmfcP95U3BhtCrul7ESiV9SvOSc96Czf+bGiNB4OnBf+TaAeMEsUG/N9mTASaBjimpolybfunm/HDALN6bXVHm5r/gnv1yVeYQvVfzPUg4qhFYRrPuv49o7PJ83qQUaywE6ddUHz/+sqlPfMtBttapTo3/nINyx87ROCJsexA8VpGu6JiVwqqijJE0tOUO87GTQmFmUvczhfYbah3WDU6fcUNsf1PDPO3FfUht0R4AwYNsXidUj0/6Jx6npk/aeowpaUq1pn7DSQqYPUJqzLcPFNJ0ETmrEj+DditTk8IJ/Z7Dms3XvcVS6Zcd1Dt4x79qEgsUV4PuxrfZ48BYTr3mHRizIBbj5vW9zoZEpzQEIGskn+OvF9PSqe/LE4PMIeClRJFEurMcpUMfSSVcWzddy1RJ0PWj+BDQD+L8xwelgz5iHLqy1qtEK6EkiEfBEFb+cMgJyzXWcxKZ/RjOQVEUp6Lr9rTa1Cjw5cfB8KdU4NefPcetxG+1rNtklYBvoyb7W11dpeh3a7aGy5qE0Z8ARIT85T1ZyZ9a7H9H8QQuF4d+15UguHPwuaGiPu2hHwX+avgdZ8XdzFj/7pBAyxD24Zl639GvL7OCnm5pJwnt0zUXrg46xKpp4ZnYn/ObLzJXj/LdfpagYL+hgw7NFr2wgP3nlZha3FBLW09Q1vLTVSL5UD3gq2pw7W6sx63/EL2bxSNrNsxzmDQv6Bw//uLSYPkmcfFfO7EiNX+AJ3zlLm9puYwL+kHEcUgfd+AuwsUhs8N2XFO4XtDd4LTKAr/cYyoxXZcRaaCaSJVt98PxJi7v2A7S0bkblMsuesgEtGUc3ov/dGH3v29xtZvWwPuA7wt47d/2NmdkTzhNMD8KZMz3OKElyrq5wHfM55hfQEaCNNK0FurDVt4iFD7k1fTajnKk9+VU4XZnNWWUrk5uSmLmr/3uGnWTgmXj7wpf5g/SpqZXn4D9C8IxBzmSVDT85mY/SnvagA2Zs8izF9l7Z3AP9cDyjKcCW9wXX90q16Scs97D+fXgD4sy2piff7xxVFZLW5BPgftqVnVyqTkcQ+wEJ576G31WRF5yL8GV6+DTh/AlcM9erxCT4zSvioL3aCk0Js1NbBAgwsB0hdHU+tJvSTd44jxt4LuYMHnwFYFr4zBm2cReCDiAEUPZahaaXL2im0T+x2B9SR97ObNof3akD37M7RcCZzrLgKLudIv6l2JaYuQi5nkIaYUeE73y22SLAF2ZKc+WQhVzmKNOYUKRseEe7xvFYE5AJntdVrf3tBweCvcN0Zp11ZjM2MTWEpt/DDtvZA3QJcIW+mq52apRD6fDLcVXv/vM9jq4bwDhddoiDB/dPAvylbj/gugqTY01XFNU6fano36MZ+PMc3S05+hfgjS/w2pu0/29f4xz4RR7ZeUPbLxUQ0E+6AP4Bn4/J+3z5HKOZxqFV9f8cIlR3ijbgW+QDdHXJHe3RPmnrsHlVw9XUKq+pjXoW3b0cTUZXAie2p4MzCUHRbPSGEomu7Wxz5qFDXzPloB3fvAze/smLxK8ju6UhDkAXnTIzJK4Hv62xhftmQ0W/1mt5a5wpqt3SNr12M0s9ZIROpesPlcWDE1JpyaYnGf9a4E2EGmYOODyLEb3riSxF92v6mtsa+U854srM4zV90XJ7ykuXlFTIHXDj3uSY/XhT7uOqy5aqLx+Uo888mvdZT0xvjhNBzcppuPK4eRCtn6a3Co/s9/lyW9u+OPeWi9m08DBbaeyHApVPiYzn3fzsmwLfueA1l2b9t9Ta31Vave8dQJb49Ws+4V5HmcCX0lGeqTnJRlP7qs1MlP59dlPDb7NwRqz3hnOgQhnzXR1tCWiiSbkt0AQHjf7PM/28U0HKku3N/QAfqCQDz3S+zK2geJ8K5R5s4DPQXjXnmzMlHWDBtRp+680PlFnu0QauHNpLVnC4j6edCw90FA4ALyhge3eKAbsEss2shXxVfhOAb2ZqA/z7ZNZ8A8x3FbNZGiBXsmXKYY3DfycB/vpgy3dsPKkLvj3kh3Msj6Dfl6y3FlhjKLeW4BRLmYq5KHWzKNA6oMnAp8w+OIwOPLaf0Xb37qNfFerB2XIlwM+gKzszA6rS4Of4bz/zEu7plQ7Z7QC+H7TYdApkfO6w5JFn+qy8gHcRicLnibWhqW8g/fw8g0fBa28DLlmZmUnmIKZW+anAT5fMhqeIPbb782Dan7hAX++8LxaqTF4M96aPswg3ZuYX+PpV8dAureyVU0TVoLOM4qhhk6n/jcAr43yYn6nwNLXaC3gFWC/gkSI180J5zMxmXjXwbjuz4XeO6sgH28wXsFPQ73kgMeiSS96bPN52SNHePXdkZZ2KxQgaesU87fdWynlQh+Sbge6UUWlh1AMPqSfoVwY4UJGRaPD6msX8A7zMO2dpqq1tB3rTrqyNK/oEfFGblit4bYTXGoEiKP6+TiH3U0sHJFIeeANWWfoD8OJTOfJBY+bWVJdgGXrwZc9z33gE+d9nVgLmEJbz6Y2HwBNkTkETmB4SJU1ONZ++xWX7TYf9CgyMQYd8noW8Ny75OPGEnxnGucXbs2geZu1Uxr+MyRV81wZ0SJmJvQeaJ69/1l7yBdfzPjffVE5oMj2XvAC+Dm2jdUzfPBuewwI4lyqTu2VtPyq3TSqb0MxZKr4yB+5ZNM68l2vmnNh7XZsZV8rUQOwzYeZOmzx+/tvvCwvsw/vdVyxJ0ohcMXgf3rUM+PXraElheAO0nwtYGObFhNPQhu9AtBozW4amX40PfnK6kRA9MdOnTGzsGuFSihLwkkymF/T7vrDpiwnPm7n/TI//hxpRYmZrS6s95ZQB5k+bnz1Zym05bBxp6syZNzXxXw++E8IEY4z8e+qqU2m3O2ajiTjTniDAkFHflP739g692WvI+sXM1/g087xYgQDXvAcOUU+D1lN6yjOLBESTknTK7Bfc8wGnVWhHBrMAN8u00Kc65FgwT5u+Unn398Xg86mTrQL81luzgS/dyfXfCpqhSKMpObM/T9Awwxm0hyrkauq3zhHoBDY9wAO+QH97KXgdwAgJPPrFApSkHfJzy/vOBe8ZRVbdA68ypU3/ZPDgv79FwqRsQKtVI2lNfgNxOW1Y6jZBY+WOdHKkY8A5egr0ULLWYagt+Mpz0GkX0+uBddpr9N9n7TSWYvirLK4eg989h1OvBtMPTL9zHW/ZanzyLBpEJOsnqwLFCM8yyEb8TV38Kik3e+iPVLS7rPNB/xACmLaAt1vSMHNSx2YqQh85Soz27qqu9CqkLeATwEdvxpq/vQMx7RBhjSGhk55ShBRFm2pMutLSiFl7T+pyaYbFOzg6yq3ZboY/Tjompv9+URfkQkZ8hbVmNc7eZEtdxJBZgP0+6dhNMTTmDL1ze0LCtiH4FJKb/FLQV9U4JdkI/s3sNwzbgMDaFJwfq1h5VbRkKXvatTnnieaPbM1M/Z7XFNdXGmeumaUO13lstLTBM5pekD9zgN8YRSzvgntvgX/TK80ls/1vIbaSWW2IaTsDxj1L4Fvitt9V7EvMtnEdNRbcNyWR6bUL9x+2MUZ8kUW7CGHDvYO3dZ62BAzKx+l97qApBTNZJBXg4B5cB+gMZAOGz+lqZqr/20BMfJx2c0U16GzWfgrwDyTmmjokzFwwaVou8AwkYMZerck9Y1N2sPlJhHPFXPTRFORdQ/ciQ9IendAVCNnKhnh0ertc/75EyL/LcQ8aJbmng7Tzy/aDh1N+WLnVhElYgzZtrGVSBRoV+M4GlFNpJ1+Vw+80AL1S8CA3fB389lm6cwG+IlC5iNkKmjVjXGm122Il5KamoX3ukp//h9gZONWtuszF0dJFM/Ye6xImh2nPmOQQO/fMadxylA6s0yLTPGzc/ZLb7/uaQUs0T1Mb1vQJYbRN844EadF+puBteE9OOGKWHMBBjnwBzw7ruU3yInNpp46ghz5VsX+YPVPT26NCe4s6ySO3TE/K0FamEyq6/sY8+BY7hYCg/db0GPI5bafcBayLSFwxrU0fdsDkPRtVyZBv+tHcid0vONbpwWk5ZfsXNzNzIF7gXp/SUSZ//mR0B+m33yRu331FjrRvA/BDZi67k2s54BiBdkF91f9ZMqdcqKMSRfVG8BabEwSjY2uhJqLRlVlLzkbwZbaUZUHAs5aAf0mrCkwZTypzppbCunnXjMhh/5JRe8zHNlMhnrL8fsMDyDPa4jQy87gg7iwvZJ0/5Du4nmja4Lg0Mx2NbrrIy5/N2eRt53MmVxIoF6cn7jPgnhC8/qak6L2XYgEfPnC/3VX25EneHmAtew3iutG8Uq7U4Ok7WLFPGe5v9Zi58G8o/L3zX//rbGPOjUqmHL76oXkVoOS9NJyzapTfoC825/Df5u0r08sfkytn5rsB7zyBec2c3G1VO8g9gCKDNXyrNe+YBfw4LIGy2jkt8KNxEtDd6ZPZ+HQGD9xQ/0uM5MY0bpsx+UwL0JBj6FTF/83mzim/UTHfzhTzarc1Ncf3KpqmRqsO1uMdtFN+ADWbxyoDXenB7xRniowruFWDvjEHtbxgKy/+bZqe3xoXJ7nA17rAm5/3qafvX16OWoSFPVPruhCn1XU4AY5NFPDxQHRr9kN+uKvieizBoyjQU1nx16LM80FPgUNKIF435tleayeJ4bt0DfFzEnsb22oEvfHuE1hiWyZsuAJvpE5ecPCw/os6m/Uk/rmVmaG2EhPDnz81LkXv1IP6lh3oPo5DPGg/A59S2tkzDa1nOUjAMa8DL9BS0xdfPO1G/O5jt9SdnkxzsFxIp5b9wwHEcHlEIlhXoEfaQXRJXjntZw2fl536bjpSYpa5R2vzBE59ZRTZ5xgD0husTh5phD5J0bzySB6Bvd564547RB8thFLXH8EfwnXCe9H/LLVi5+ASnUEU1qbmopOFAh/NxRZxC9ZWj0nGlidDODwjwGzQkmlULmed7Jg19bVjrwTxXc71OzYwaJFdI2C1d4lbOfYRo4QqdnWzVbNzlC6ncPuq+hb44e8NU75vAk5za1tUIeh5zoUY7MLU/IFE9EBf+zk3OWPW4wyYxyG2IOZ/9/T4qu481uvRWo44vK44Bo+vMwfH6lraf91Ma9/Ub2Lr+VCxnM5Fsj9HaG6s9Mmj5+PgJt8Qfy4NCJHjdBKME5NfwMznLSRyrd84TxqzN2PJ7OCAFR7wgwLLNUOSKFBpBwchAjzAVylBbw5lAdwdo14MCO4IHfhIfs4N6Wsbgxb8qi1+rSjPM8f+YAE8E5aBdudvn3JhsdzzmGSnCHVyvD7A43smF1IgBv7bzO4gAc/nwOSqC605vJdX7vofuUs+ZcdcPMxHwNGNGvduBd6Du2SvRn1oOE8FsKko3rUwd08627uynjfADQLvczD9K2mslyZarilit2ywKSvk13lEJjeVyT61K4pc0NQ27v+5nOG56dupjq83EZRrNmrAELmW1rbMGU9l9FvHMVCtbyW8x0yoAviKA5blaZyYXrbPozN9ZtTUhu9XIua1chqvClpyCnVeUfnMncVmg20L8NiEwdqJ/tliIEMDvCsdVOIA8Cps37WBkUTpKsL+CRq0ay5/vHyUw0+uYgGrGDRx6mxuDWo258iyUpSaHvNBqkszo9OuC/04h+jBhZkJmLRpTCTEicQOW1VMBgUOP7Pxm1MesB5WTKWNLYXLHscQ3yFwVa7E8q1e4G3Bd7OAVFUs44MDXNvpQ5pvOXAo6JcWUwtfmCODnAJmRq0Lzy08Wttrjv6+8sE2GP7uHbHysNWSbTG9bJ2mKB9YbMNsbMzs+FfTz988zlbwTCJf2QJee4cF2WerKkELtDJMjnyYehlNYTVgjgf+aU7uDhb5Mrkk1LK/svV37+t54lMEvPgkgQQs5WNt+z0dTQ+S6Zsyvcj+3+0Auh28HmBPYp5VrILG7MWRUqDw3D83xOamr+Ne9lPKBd+Ato3EePXMumvC5X3WVmWjtKoAPXCcHKTWJfjJsQT8AM9s+muY/pOCOtN67sy8cV+mSE8peDs2gtbvJ9rY4N2K6SMHDQtYAhxzt0SvVwrPjlgbr9ZvXr67jPunvOdYcfJNbLKUznz46TOxtuk54CafuTUzcmpXJZVWqHT47Tyoj6rnsRj9ImXcaKscHBrE18QzZgcQ08eDNbOq4JvU1r/9sSvQI8DnH4LZsjT5H462zwPZHVczK7ct4blETWi7dd8/srV5KVtpwIkOMNhjIfnpQwwcFefhvweJvG8ZJIgVumfDsgPdOp3j37rsROYzKhn/SlcfLDZxj6YWkar7GRAAvNpVrSqXyAfPvcAamDJmkZHZ/BPE6XcVkUwK+VlrdQK9kvCA3URk03QwucfaJ5SM2eXPG3v38H42B5vZqdXffnqkCfAKfGq5BaqoIDchtFQR52ZPDXyDqUENToX8yArTR93/bgR/VIg9mx4J8NFjY7Ai3H6noEfOvRemjn7rqM8mAt3skjxj+CFCRA6Wvp6Qv8kK+ak67vNRZqDEnthBE6xyk3srju7VgesycwUeKgw3aVg+Gx5aoNNvwAW0ifZG62+wqyzQPf/nYUHPnmjyWXK5IYwLKojpb+qBHyWgK626SHw1Ts+DW641VfHRIj6OSvccznMObiGPrqs087cAM8HbOeBJW+ZsZ6OfWQxrD+L5XSfFAr0D37sygR0pEue49qD3cQm+lkqLf4HWrprdfcnjf09a8JPp8Swd4OJwBi9jH9NQhzwgEWhVfQoXcJUqoPE/V/Sck5WMcA3v/cM7FnJsQOOBrkjPJovMBl6xZS7pP/ckSJIZ7zwgcYox2BT5aWZiUTOLY0Wr6HQnxBM4mMCfwbq3mofskMNfW5GupGzy2adsfufbfJJ8K/PIm2SB0grQnOzmb+B5As7oTiKIcCRxOSwCfOmlhO+C9bBnOvmoQvIhonY4CQQenYfC5HtYUlQhv5YsKUWIb+kwHcCXvXOkNYlVnhX8WJvc5ni6Kt7ehcbmvfv/9R3XOe2TrNGTrl0k60KmFWqPTawi0FdXk9ND9M98PtBu/r7iuGLOwmuE3f/5nvd+r1+5UymEt0mj5WBqsk5soWls5t79Mf0O7HMEvmYkD8yuL8bmSbFtTxwzg8H0U2F2E0up4vTF+v5Z2tOnmYHAAC8V5/lxVeYs6H1fBK59L/L5wWzmVTG+lEVLaZhUTZTM4FeMrwhLN7lTtt2dhe2ANtQckSwdNCrz7YXAGmHc1NDY1cGRuXLaHWD8hkXLzFeNlJ29c9r9c0dSaaNQWjYlXE3H9e8jG8Brv7b2ibVfVQwcYHJXu8zUQ6yKLUEF3tpwPLUaU6/lVsALh1W/SltfG6tl506LcwwoEtqOhFj4rU/p/G8RmDOkpKWBvz+Pct84Zjb8fz1xwQcMcgRfNnhzyXGeBiigovFK8BsVJSTf3VeWb1keYE8IHKp+uwf//ZEPJjfV1L9Nv/nYakwfBwtH9cgfp8LM4EEu8A/wbmrD9/EmRC8pZg8wK1cB/5LjXysPy7UZtnYdohl0Rw5xyyTScQNaqxmBHVd+yBnwp+6X025+4/wdsKBNA4zSHo8lW0BlqAvgqWaaOFk/uyJKdqDJTO4ZYo6XcItTOjbPsjCzJP562TgFFKnezHxMxdLlISayz2zw1js8eK/j2pL3vg08Y01d/mBOshPUv4Mm1DSQH0zALzLQ8bTVELuhsrZGB64q3BbgOS/U8b5S6+mAnzZn6p8c+RGFZ1H3SUo6nTU9NjWXUz7M77MAUHKm37fszDwjZSnn6CbC1AT85Eibc73d9opZm7GgPZUjQTVNnuDHHfiuMY8Tzbl8UfB/2QBKAzyymXVhcmVA6/RwPa0s3jNA55wB1+AQJYxxM5spqULvcIZ3YrDczKoCHQtuFJk5GtfzMH+eIvJ5ijPHzNmuO2Xmq0EMwZKNwSeCn+Z2+bMPBZ8RnM0zR//eGnuuRlyZeZEk9s0+dHnmyfFgq0ND9w9ukRvVoOWc+4q16pWwdxUDVGeeqZ0YYU0faq2DikvRXO4vwBLQftOnMntOQcszyixYZ++cwGMm+LPsdQ7aM2VhYvEe6+xnvltm9hzvJlcQnt0DsM1mUfOq9WRJ7fcnc+YLGqEc0lcK7gbwqYdY3+BR7sycatDkroTrhfX+m8NpOgmLEVwAxPPJ9MDpt8FhVeBVe+vEJiR3f7zUlWauk5eZmekB+AQL61O+vdUmJ/S1hXcsxSnwv3NRescV9KONWuDCuBKh11jkHRtZxTS4fD3VAvWm9yrW0xNi35JF6OLLPKRu+90wvWecm971N3hT8Dl9lJ0G/2V/nCPc5kxGmbN1skGSNFILi1QiAauOLrxPa3r/1iQ65MGzL+WIFhmYWpAk45o/mYX3p2h7lfkWCUbmhurvxpIjrKulGUxOJHlhiCtpadTE+tgY/mSl6WEyZb0HqlZ+VdG/BVvo7Zep6tFiJt1nNHXgXm6CI1vGrasK/wjX/ZNXR+K9Va4YN11qc7fdV0IOsEZ3eDS5HNaTjtNwHkGior9P0NvtOSamfnuqe1sDBrzPzYETgHCGradceUmtjQWYugdd/tGYvkdM31IBzsYFHSsk6Dbw2iZXmyUpt6834JAYsPkmtCpI16znwfs88XTJgyRKY+ALvn9Vg/3eM38d7HasdvNN7bYOAR/xM3ezw5npK1ytUh9dXoGes9jqvyhjL5ODB5qna+wEtNBC+Yi+uA3GJpwmafNAugqT0DP7XojRxMwWf/eR/pLhos1M07wnx9z0XrbVF4sbL0Wg44oW9FFSgc6ouC0fVQ+8qLP1RHXGV+SAdNzjVfrlOH1lnZkPbvqDq/VUgEeJwYPs/jxq+//OK2uhL+bMq4qeLryDA+v6zSlEkZm/k0Y4EzHiSiQ3/F+faMBUslPgFc6d78heR4T7GPQBP666LDkfm9XUiixzHS0FC4HL+v6tez+p6D2ItU6wNsSWmeJHdqYnA9H4KqP5Thx9Y1Z5qwEDTS4Wc7U5Y/9o1sZ4G4E73im7FdLgqU2+WW/3R4d48LUfGLWIsexXY8twPkG8nMCvjmeDhcDQtTN9A6fs01HP3Gk2ygFtwICVBn0Tgwc+mV8APx51/8868XCVATYz6mUaayyGcM1BIqf90jVd8jxftu9zPa3c8JW5jWv8OSBddOJkT4qJQFzcwPeUYkwCgjirNL4IamY0Yy8DfXs2ec2WjZSLoophXvbbQxWZ/PLkKzP9VJDe01A+arT/nVOc838WE+pQhf+dAfKuFczM8w7LV+lOCXgsJgfCRIA+aL7NTrs/Fg7bAmvyIQdt+gdjUMwnwKYT+JfI1C1klpdxkw8yJMU5/s3t8U6xxGdAorPwcvCzTu7Ip7LmTz62JEfoSqz5owmTk9I+As1RnYXp7002lelZyOxHGvzz2GDOA9qdCnxwqXZQD9O1dLbghdslv8zFO/cAsHwGvalxRGzQGqa/ZJnlW+/M5rgKrzfqkIAX+krW8Gnqis3M25R5hPP0qcIlpN3e5rG0Wb/9VJRjsqLnwSH3FLglsyZCLf6bi8XidlQjTlM2jySfLa79ODVzHmjvwu880l4eaIEOPCw93v/0x96kAcS5+OfSaNmdCliL1PRsSSo27m84LJ1zrNqmV6+KYp538j33djka3RtCnNrAqXq6g27/PjgbKzPXb+0fLMC7gyudc2ijPJbgaVBBzEzQPvPKkYcH63oToQoxR309Svus/S/AaQd4q29GBpz526eCm7zVE2Ac8FaWwTuqnb2rdGmD1x9JzJyULW5phxZ53W8y6J8VcNY5vj6opVuyyhd208dxTd0qah4N1zvDyekKKsbkb4TYxe7v3vJQU5KA5n4peGbgk28kJNejMx9JmLgHZ3kqVpq5ivfc5EdxFHGmgvzyZxWg44FbSN7bLRHbG2igrM5nDHccpEzuwAfn50i+Mgu/975ywIeCCHwwc3EgvgIl5hQ09YYFBOKp/cSmL5JLHDPbO+8l4GRpc9YeAMckGRZ91jwnhbxCHEQZcFqVz7tT2Jq8qEL1rXMu/LfXM7n8ae6Cu7f4i1n32ynSrOrNWTspaurnNJw6pdsF1kvPtWRN8NdhWmYC8aIsdMctcy7X386oLaoiW8BvfJyAhXBo33LXF6YW7o3zEFvgNBN07vYW6wkvefLEEfi98A9cx5/H0ZHXg00ECxF4I4hhloCf8H3wvHPqcAewOaodHGXD1oJn+WHOVlioPkU/LflgW6WN3ro3ooUPXtUOyp+8lPTGQnhjAYryte1ytqSpRR5npr6lsD3Qu3vCzVnA3srt1gdfK9K+vcAzvWQDuTLQz8AJfhNOsDbwI42vKxu275yKTbrbGr/V0v/yaVC9ohg4ZhbDtq0LfzJ9enjst7mZDRJwiAP7o+54kbOZ1CipiH11Kmd2ax4+T9wP0zX0pCYEOH492hL06/Tu9RGnARkz1k6U2f6ZZU88kIya/oTFVKpROiU4qKpohyaQuh5M3kX7BXj1VQnjK01fUjOXo19Zh75L/g/ivod3Pps5AhfwYUsJWPq/30rzGK9inIqSbcdyJR3oNwReyswMZqZHieJEVvbepivousjUV+6fWW+PeaEmpfevM22s85hoWShBrftqam4JaMkfjymWKH/d3z0/vQrYrjR7bIz7wB+xHMkH1Ympre143ywVny6wZj6I1bvMscPU2roK7R8k1h85xVlptV1qJZ6ZHSIGvXLRMtA1F6aTXVqQBxv0O1905c7sYZ7szuAhS8pvaiRJjpKPUnMKfABx3a58hdjnmDVcPbMVvF04d3QEPaCnAnT2LEbcpvYk1bB0lQ6fmPGp7syMEBlmlt3/n09ZDuAjMR76BbSCGVcciBE0VE980Jkarp8An96w5QllfsMy+aWJFODY6x1ogjHpWcecOtxWfFCfadd72PXvsK7yNLIj5fLuvVep8u1UI9kDfsk0gHfNkqUs/BTTVqjg3+NgJwfTI18xHnIhQQtsY+AxXPbLKFHmsrExeTqBDP+s4Bt/+hGWvD0yZ5qlg5Eo/r7P6JHQ/JQJlWTgD3C05SxklogyE4cIMLujK24pYDGGKAHN/ZkO9iIdnYlIbVRx3eRs+2Hmdf/0Eja9qtcU/mX70aBwwQX+pMW/twZYxEB8bPo5ufhLicZNebKexQSe3PYB62k+cAR3tBdiBj/oBdTFOhfpQgICfgrfsbUY/kmByx50JJ+puL5SF21wEK4CJXsGnPjOdSSWdCTlgD2gJdHVyrV+1kFrc44nk+MvOmw8FTvYKDM1KaCZXqlzfbKYx6dIDSL491KBrJpQJUIn84lfF3D2m3NPzFngxswCed+XWpMX3m3tGlSzNOfRIzMzSj6bIRnAMw913L8ks2fFkoS7iVtbpK9j6fKhX6Xr99JGO+DIFDtaYKt0zH46Hq9uCajLnHCDQ/3eSxF5ZE+1C/cSMkdapcnDGptCHniRtOCLOHwfa8TWnH2Bj2lHOeI9+Cxf9l7E+rtVjonNutAtL388eKeOvMwf52HzYLBIWWRnvPj77gMD2kVfD24yN/D3qWhLZve3UpDvUwEcqf1j02G3dDiW/dXMXHoYjjy+tjbu0tepYGZvKE8pLirXf4Du6iDWHMraAHQY8Croyf9bXyG3yV2EoEte2xm46wVaxyPh3jW1PqA/98B1fQ0uE1DtngNXSWsb5sNmyQblYYqvmZhEPmypqdVRtjkT9Qvm9CsO9qsoQljvv+sL/muLxi5fpCsfDcMV3W27iv27SYrL1MG55O03txMu8jnmPUR2QEzf4+Kw7je5eb5220EcsHP370F7/kgZ/8xDMmWMt6nwBjqgdz5byjXzeODvQAdsshW+TSTfsI7vdZFuTO8d4LOYrKCnKLJEr7K8NyeHf7xqAF8AHrd2FrsW7QQeAyILzblAB9AaixBblg32p6mFfu9vZKINWddecxtVks08t/ZOHqlHznBWdVIeLLwBf/QBnCob+99LBgoUCmf5cH8ysb8Bz+o02pq+QhsVk4hayKkH74KjK7yH2VU9eccGzlbfomhyMdXuuZcdifisQjAaHNgrML1Q4buZveZwb6BhDinToLHYAqrsANeXwlO9ZOK+4AjhvE90NiR3JoCrw5lSS15P8MLe+xsNBA44z2fpTE8e9+s5xk/qEg8PmS1+eqm3R/DuR7pm7s91cYLPPfKIrSuC/toY8KJyk6mJ9Sd7/XlQ2vYEoRtlG9Bi2Y1E6t1/fs86vwddXqTiJ3/aMT27mYP91DEzGsNNNugreLvH0QVOjv/dTK/N1C0fZfeztzWnneoUs2OFGlci06cJTWbOlAy5B3hs0Wj73vuKzhT0lslfGNDhPKLP0kGitHsPMKOnw5JBzI804qBR9rdqaG65Y38r1pp5jS9pzkDZAkymTyn4ROD+2PSMBf0SV8Am52iKK96894iKdLwCN3Gthm3cOMiBdRrWVH0ABrwaSydymOxT0X5Qs4/bLxZ3Fpk6pZsibfJ33VprcaZ6BU9vakw+G4HyatB5Dk7kPHgzYG34zsWiXFpisNuaqRy86sb0dDe1vCWV4Yn6M+0AP4blwcMJuJSPoB1FRQ2/+S1o6HvOpiAd0Akw6V5puaMFyWutSGUnX3nHTR+7dx3i/hTi8cy2Fwwexsz8M3OAAC/iOvbTtAPeWwG1Y/9Z9uqj0lqCDi7ScLoL2ubAZ4fM2u4awH3g8M/MSb5Yj0UV+Mm5aE/EmXLsPP+3R3R3zv/1CM9EwTkXoYMLVAkkPyvnj33K/9jwfG2I1amkeDh3ZANeb05HM0vb5GBaG8CFi7rMg7xsj6bPWspBeBWT6T20acSyEhu/NbagBd4Rp13Lwa5MT9aDM2mGEtDJ7cQE+lIUm1lAZm3vpavXrEORCMKNHBrTK7RTg4S1QX7qH0DXrITjK+6TEPC1pA6+nv8v/7BIh8UuR1RxNn+RQuPGWp6kUz1gS8mKdDkh069BdWWPruBzP3AIODvgr3KQT+AWhMM5yW1+B2zOANsp772OsPBGEPebYe/JQr7Pl28n2hYp+FC4bs3Zvwfp/BQeWa8c7XGBFxwmAuLcF0H7ND1oTJ6scv9a4Kmd1IK71orWl+3+6Kio6ZDxlVFjJmgHfx/gfjKMfnOkJXBDXNsyqC3vjsHTyIiDluVLzc3JPXtVvafl8MNTF/A+nopLc8Zrnxm2wGO5pjYenmuXm/eG+FgP/a2h/j7vWq2EV+BOBW9vzjmyGrbt674VssDeuUM7yaXOIBZ4zzcMnif4HPCtCWq4ycEmWA6Zx1dMj5Z8Vo43lO5+KSnook6afMYTZvcHF14qI3zlu2381r21Bd6dXx9NvkVNxD8b8CZKMEt2aIFnAgy23ck+e5wj8GOvuaBOu1NxGzcMvBf1TzloEs6WhDupwcJrqf30HHnwfL1v8PpFOf7mz5vc0n2NUJojM5sKh6BNbBVxeF7q0by2oM3/wu+AB6T62TBmMgpFAwo404C7I7IqWx1YQbIT6h3M0Z1H+MnNeYsDmqTT5OD+nklZTWF0tUaM4Rcd7CN+bU09zSsz79z0q3fChfW6qMBZ8fgvOH6yNC4H/cWc025bkT5zy94TKfDdeSTXNMAHuu5vR3i/R2tji3B55x8u1Ugi0yv9XJQPSXv3uPqZ6VUvHYjCOHNoAH9mgcfnfgv/tjxRDbqJfEg00XOXfKQul2mhP2iQvFhoPVSXvEgMPFio3cHVwEHvGro5LU1dSt/iI3gvspt1OfJviNjP2gE8gu8CHYQz+veZOvOpucwPQcGRhTqvxTauLGDiGLXghfw0JPAcwvVE0ShjLUHhfWUMrTy033sOHLDaA57nlE1wf7BinGU9B/82tbUcmNO2LJbfp3BKVbgFDatf6nJ3SxucUYc4QW1C3KsFa+GpxhB89d5Ow/YTcHLEOn2cL/cn+Kj/mxvYqxwHSVe7iFRjeyNj6lEh56O9d4DvbHiVo5mTykw/DTQVZGjHkiZ200+mJ84JzPYKa/eDDBrWguk9pw84hmiPEnbmkjbhuxf3/LO/AL4BWAa3pg80cPuj6ucxt1OH9ZxWQXItAeMoeLjK8hjgSAA85YL2eILvRmbfETA3Aq9+yVZsYaf9wKO+kLjZUGfmlVje/Tdgbc/3EnxeHuKdoqg4x+SoYn6A9bnJY3i3a296X4SgTfe1CF/V+NcuzeyDXo4NSx/KUhmPyfc5akAbzgG3TB3iv6V0tt5Pr1Ggj3duao32Vj1sbrLX8JwW8OX8SQUXJZO+QlfQa4ulomkQkX1IB/7Ie3Jphu2YWfIzZ0l5ipbDmSbA/xJ+098LjvwMgiDjmLMesHScfmeacLFMDXDoT96PUVS2mpsYXXI+vSgYbCmmBTuzMH0xpH291RAnGPxGyfQOPPsnduUnBr/euMCRzH7Bu7MBn/eMNc/c0qAp5jdXPtKA7NI1cTMLddkwXXPQGQwUihD2s+lkBvgaid12Q7q/ZrbdiUbEzEytBGAwYPZg5pjKrv3MeuTKEXRxvo3OiPMaPH25kirn4e8+APCsD9y8b9y/LuCQdY6nCDAYyTXpAeNvzPL2km21mQFRBaC5hiRjAbbJyr8btnACeEWE7EQoZ9JjeA7tQyH/W4oMOF1iQt89ne4P1W8ewH8pxOxP3qoIGofT7PVfDbP1anRiurRmWKMHZpuX1JNMXXkQxeTWNnhv9scx8QAaBGG2QJwC/4rGgncImhubOaS/eyml699rWAOpOW9B4QueDxZj46Qjfp41KUpXyrLfDirSt9Qhz1OUvYhWoL0sKx1wko1J0QAZ5zFKIE4ojxIBGtNTQvfY1A/p9O3NLfj7G+gsDwuew/vvuFAzp5KWA1vroSXE5JeG5Ah6MKWrzxlo69qeLk3IzT4zYmECeo1jxglno8+Ar4np3ZmPrZn9jHDvvfeWjYd3cmHD32/LLJ/74xoCz2APh/aiRjNXkj1/+rRbcsaOOZ9uzIywAUe96U17OMftJ/w2SwuFYCUfziHfCKYQjWxA7/9mfb71xs9+oTkv65WG980yc545bG+qAx1gK5SBpwHEqcDDJKWlviASKsn7l6m4x0OylGI51MMEeDGnh1UdwIulB/h+8P+RdJVTFf6bv0BrwfvSzDmPP7U1K0E9RHJrzp3KKvhrauKXc7eHuMFTNYAf6fUpG5CZQNbWFp8rrsEz8D2hKKnC9kCFZfHI7omYQeOShIHOe+N8FTauOVc8D9qthDfRYfuo7LagSAU8397yyzYzM53qrt3AGgVFiH5qnxokce7qVz4mdzl4ZeniyWj0o6XCGjTjmeJvGXkb7v6e6+WAs1XTo7JivU16nTILDSTagi76t6EWJxV4ehzJQDKdpavG9WV+mZ5TrMAhxC7oS082w/WWAr/kEIcV6EohPLjvGXABODx879vMJu/Szfs5BY1jKcsueWjqDvhMw3lqCmynJl88gPdp5tuZLqd9Arrq7rGIV9jVY9rhY9P5jhL8q7GSNl//OU0vn7yD99yrY9O3v/3ZSrflTUHuGdu6eaC+RfHPriw7YVFrn8IteBQJ+JqAfiAL5nquXbwHPPMl80QlrFfmmDkg6hu8z4k7eMfd0OWdnmG9S0LVUUTyPYfudrTgOoTKMnf6Ag7xj06y1hz1vIOvC4hHHUlTu99IluAUkX3q2E4+eF3j6FYBSpSrz8zcwXOULaavyXFlr9SyX6mND/Iy2+dYvT0R8KpvZlPujo4X82HJzwEqa5s7GahdoyfPyJwLJitx7D12FZdra51DBXyebSQqbyzyLNCfMdEmd78dcNCizLmbHjvHUqOe7ba/PasBnyoRwXMPkRQaXXObPXjc6kbM8By4c6YyqmK9PzHwS2wZgEspYPFUcvRdC/YAn+UDEo88UHsxcE31/sUCX8NvaOqUnpkL+PbLmGWwdtV3DRqyjvQKa4uchzbE9j/DPZfqsv1UA88q3S6NNQd0VaUEvw0+clSC9JTZJbHRtYlg/TNypT0+ZK46gQecqPHpa/LGeVeu/xYR4QEw7FAW8HmkcC6sTRPrZ8lafh7mw8EJLfBN8J4IyjTfmXMlTLFgrzk6cTVUMSIQsyNxfc6Bj1KE18xSSAToO3Omt7a5n0LA1970OOzXavC+wbe5Znaz6amJC1hjg/qQPQmaQX+ewvmjHpYjFRA/geTKYbbc/dmYWhDwEpmg5Yu7uvjpBRguT1kkoemX/87FMvPuAPdvMvS+JGptwFrQH4up67szQB/MJGCPGuFap9z+f0Sd23ajOrOFX4mDyWhfNgGBsZGD0AF0B4gRAgITm9iYp9+l/Mu9L9YYvXKyjaRZ35RKVYcncbxjPoAPd5abdDTlsa7yIVnNPnH624+vmyvwf4AcmMEcKEEZXnnLENtW8FIXZXFfWsOVDEsC8c3Uj2P1yEdVYKtxybXZ4HOO5I6tTxfiLwa+fmAbfxMuDzgA7xOtppavqTFY4fclg+ds6uDtsvHlHW7XMt8naaTMXZa+cf33arpcJTO1QxH4Qz/ivEvJ+142Q1LVjo3Btx8ZPEs22hC32FYBQ2FNOim8Hjx5UInGrQr9rNkCMX5wUma/9tmu6QDvWsxZroGbNpTVodpxC1MRDy7ZEqty0INr/wm6fcWjqTf66Zi6T6UzT6b/L8QcRgfbaLOrbD/8ZSrLDmkoPYxAQwr08pVX0MqKFX+vsLgCcwbVFiaH2K9+c8ach0VNX7+wqyCWLvWIDqVlu83oeXwsQUvQV2tqFds+amP/lE7kWwo+yp45PDRnTQNw53z75yvH+Zug0sY9KJq5rxV17zLAfWqTN/BQZxZJO7XVOQ3gqzZobDQn4OssUWRPUZAfkv+x4Vn4Td94plcSFTNrp/ktD7osK5Spdfc6kypp9HjW73vgnb8bo/52tOwgA53LbHSsCw5jREpTT4kOPMlNf68iKathcMCfO6AL97Y3NePWD9DOXco6ko/LVvbp2gYkp2EnuDu/xuuLotkDPxnxaAHPwDte6GvJ9j8q9lfTo0GM9qN0SMXtckvjxDK1I399CO/eQSMf8DwqybqtGvCuZmSBGD3nI3eY7nxCO/hd9bozUopwjn7XJcI0L8CvcP1VMn5P+79e6mhOqQSeIX076aEZUWzWYyVwSqwVGBjlGaxVPMx++75M58CXdQF8E/vyzPDCHVh3kffaWz5B7A5/z25s3/xsICj54eCH6l5+nMDVnSN0Jv+r633O+sEhCB/SERgfuJTa2T1jM6zPmavo88pHvVTMO1Tj7MM49abvWTZp9jpPgXjYlzy7U4jfoPn9CdgXuHMBCjV9A3gbJD8w13Z1hMxdQbscbzZ41r4WOpU0SSDW3jkze94amH4m4CvfpDl7CbRTwmQGZnzxIXzP7okzz/mGTF+/pB40ZWzpKmt/oJHpw0Y+6mEf1sVcqcFmONCu0n8f4C0sMTQ7hjIX96DJ1hoplGxVIau0R3kzgY4P+FHx1z0pWF8Rgt/LVjJ9PogmsK4SptxEwvitME9uNepiWBEmp8Tnel7wsHiNA5oKfjen/GjqFf3uTwn5xrfsDjzi1/kyYiErAjxeDup1j6PIi88HdQ8P0L6Is92maPeBxdqT0Hs2Fjm3k3xTm/TFsMfNwCPmoA9aJP458r5yNxGsV13u4JU6n9c02h8yQXq2aQ7u/czB5DQB+nf3lg/8mE7Syix8ViPZJAOPEh52hH7abMAnBu8BGN30I3Aaml3JSAJl7XNmgZ5bElarMnWZfeognyL0TtHnJoduzSzyEObOu/3/5ymE+x+Sdu8V+3MVTH5kvRRlz2MWZ+tx6zisb+A2iLS8sU1fzAZ0sqRmr6j7Kjm7Ehf8ko0mmFsJBbfM2WLh5209Pf88REysskCv+7B37IY7MqBTNu4evOCd2fMmYXejvTk17465lt258Esq0u0clffSwjAX5LPMlxVYKiJjaStHfZV9R1ioVzWY+8f4puzufNqQy9Df13iB7esCiNWV6ZOSbv5bSpMYWPIbGNpSgImkRxBn/9jZaPq6yIw5qanT4Daic/DX4uPIcwmzH2RqHtz9e8UCB0rAHKHyBzt6ygR+efOg6vmRD2tY9lpnQ/ImHSJEz7MzSE0dJLd2wj6LE3Q2eac0ydqwewf2iGAOSLn5wEm4k5w7FVv81PQDsyVKA1xAfAYdSu/n4t8d8KIU3BZFNx8hDtabf1Js3wFvMRGjgvTqo+ay/K1JgxKhODqdTZ7QqAUPdAKsf2QC4iTqHhUt3Xa6OOkgF9DQr3qTZv/bNp70tY8Nr5VXzsrBk9lt3z2bovSAzUTL/RzWeNj06Gj6BwDTMVO3lofJiVqKn6wlzTclGLNvqUBh3quHqT8hYq2bMXyAP8cnWEHUsV93YVbTzyh3Gqe29hP4UlkNCjMr+Tb5isAVEjQIvMr8Dt+bGiYDroGengtS9vxdMYzAJ11qrro6Nndh/GfLJMkdfgCddEWvzDn/Ky679XPPs2EBB0qk6U+KnYcL8dT5rw9OVvdJx7duYwOJU8fTdRQ+yMDuwOsPMXq71Pntnz0oq0tkSC74fU9kuPfFKH+U9o9sXF61Z8fa8rK8IAWzZ86HxyqmwanM3XWXz+BB6NncQxmUW9vIygfppuhiCU088O0RLTivqCyBLx51oOKcz+e04EtjKdmGu6diCW85fo2XB/MNlULeQO9m0SdP8KlpY2rNheUDOACbnnPtmK5UJ8ZTU4jXFPgjTyP8UWlkaqP2Z5o85IRupcZrypO5tLuY9b93uqIq+tcvgJfW7DOIAUqnXkmTPEdJxK19ATpegc82fdxZ6ph9e0JIAPrUqyDjw64cFSGRwpwTcP1/r0dn3+XR593U9zkHn7vUWs0dbUyAQV65PVSrJyjWrXYQYjBfpXPbzszLZGFqA9/szMahDA4ug/UpnWWHXbmCRxDyfR8xmj7yTf6Y6ruZ45nakQcSZ89K+6Pp33BGfqZG/TpDROfI3OHmD+x0KB91rsAzmnuRMF4rcP8GvJCpr/3W2Hg2uSEnN72Xtl82XHYM/BO18IGMdp9Hnp0z9V655Kvu0x0WwF7R/k6cz3+eKNtAC8bkjQb+A2LfBt7+B/6uQ8d9R9l+J4vGyU0PvJD4abizqlF9ZFMDbDifyj58VAHof3x5SAE+aZA2CeUgR5tUIUoy4wv+3a1YDk0Mqm/tXObopLQkLs099zi0QOvuOPqzsXB4Nu6ccUTQmfvX8/v+B2KYYK4PMQzfYQQHWGPAbXoRA4/J6AliSU85iONBz/D5X2c3vzmiyvJ6GOsSvF0Ja5WqjfR0++udHPl2DtcgK/wl5YqAHv6kg16bcI9OW+LUganvpxHMl0tJSVqDp6rZbges+2Z6bZ/c2ZXTq27qbUfFPoP5FoBXfaMTweCPA7Z1FejZWxtilgK/ml43podrE/ArpiqsAnjtMdvOYfID2vYOHzoCd+3lOrGbKXRL3qwKzSXr/VsOHurll0Gzv0icxDLWeU4TWBPkySjvzT0kBjH16MiP0uEZsQh4MuxUdlcqW32U9t+tZaElR4gVwKVqM3tPGlYAOXJh57kFcyn4vJ6j3evsxs5t9MgAd9mQ9BC3LHjPfUo70aKu4vHhWkfmjBkXbaQtiD+g9/rBehmzwhc81FdK9a0sup9z3JneizdTl5hE8iii5km1DFIXvfYBooYhj4TLh+lrVYcLMBXMfbEAUC0sNfmjE/kyuXXNOGsV2e90kiy3PFgPyuYjxBmBLWD5dzmRUx7tJ+CPAMbuo2VJAXHnjWyHV64jr+FvMffgETdzgDMGVQxP3COSPZd3POyFcrxZwmwBHo14AQQ8LmfQlGcr/qz1lK2MkW82qeW4AXk4Mj1ZN+DfZqsYM/mpJxLw1/6hk1umL/mfJ7azp9QdOTqogxiMsZtcOMQkYIZdCkzPgcuqaPnOCpIDo5XS5W8UpnXj2De8gdcsZsbc8l7BswDfeC6d25Oiv27K51f8GhsHnyouE1gvjGmT5SzB7/gMvm6pSa3wvRC4rig3ciJsnqTADxneVmZ3G9HARL2PRYT8M0p6aaGQie6ZiduGJz83/gAW0csT4RwhV0YHjwvlYeuw5nGXSs0xibQ4C7uvRzxBbDL3T3pizhsDVFYB4i1CJe8/76l7eLZ9eTc1BzD7swJfhDJS19wh3+egMXeXXveynyLa2xCrp5YtoxrkO9WwTuzOIVoBAyyIs7VkhaY1wry2ffibgyMQxKoJeey3dpW3UGt5oxTHdFyqjCdDWsw3eO4XDoySTf/upxwb58+jfd8Pxy10RKy+MTCwZAnLn3sHdLc6OutWB5hXphd2kJgsjR1h+JKBBnEX5zJEHYHgCTq5MK0RD9muHrqTFElYTvNVFDN+nQWU1vIuwtTcp7GbGL2JcV3OFB8AxZO0UB95PI8wL5fG5guOVFmbcyqGy3NoT9ROaMbJAP/mmbAfzPj3TZoaRBeJDh6l4SNH/+5/DbnOHuJXETyhLAwscnlWjF9NfXnsWCYn8Qtz/wy+wwFGP2CWmLPsL/hsSxUPNo74G0TTFce8oNbeaqkegUNuWNjit67Z8Pl4eSKIcZrY8znnoFER3rV9ek2Hm1VxdmfDCj5QzZXLu8omNypwrEyfYbcbaYRhvpHoDH5KDqt1dC87DvFDFp1HOLbl+GcFXeGZ+28P9iQ5rO2hS0TfOTDnDmY/kcb+SGK8qk2DjgCjO785IQji2KESHOIJEfnmC+YArlD8fTY9tTVBLfhGhsidC1PXTRUn8JzHf7mpy0SRdhvwVCU1Z2QzVWx5VmH4kLFfqEhd8iFZyLASPK63ctIOQ76tio7kVpKbOiLpuN5x33FqXa7gLUNeSAtYuCdAZVSsG8ThV66+x4A9TO5BLrwHjtjT9KqkzHqoPrQqp7FYyK8EXuAcdTZw9B3+vqkDXwITfpTbb90c/L+7qcmIrXU8OYsDvhzWXte3RZIdre7Fh5NiM05dfT3HlyuLYE7l+4iaGhfObpPW4uEA/IE1OydbnlWEvHJsHm2gPwxzSMG90tSzNX1UzXmunu/03cRyCxYlHtJJEer+fx4RM3oeEModcix1BwxraqB1vigGN+/Bd2/p9tuD/LkHP+TNjSAf5j4oHxFoCrDQuKbULp10/ONVg/7gbneE+FaBJr7V0e6Rjf/6PFrU0RV4KweHe0bNvZ64O3NTZ3Uzdzz3xrFmaYTOebgvaQCsS7sBO3aemhqfxcVNGQKHkN1Ll48Z5xHEebuKkuNp82/Aig7EtVcOzFGKFd70Xshw+QINOuT23KeDqlSUyHSYZya8Ii0Gr+qTt5J1YfW+XwQs9DaQ9zP1zelCB7IhYI0z/lwW8GrVf7UsK/DvttnreOU6Mkdq0Kiftmf3epBpuql38EM+E5/W0WFWzZJv4LiMgv6nlg0M4p2VS1ZiJ1pO81tqdR5QyQZjZzdutgEbmjohjuT+dtrwWxP/yzN3z6E6M2cNFeMMa/9dAktWRejg0eRdyaxxL9bRWi9AfbZkMkqjAXhbXqqCf2QsEaYOJ6GkbDS6qUB94JF81CNPjWao0Gbp+/61vtyjQ4KTpXt4zw6jSLQ03GX6947p2PTlVcFaq0b8k2vMhO6q3/qprtlps2XT469zSH4kzEXpsjUT+1NqgVftdQke/U5cdpXj4eXNvVKAp9iaLev/WjAHqER+QCOgRBvfaoFlEyX46MxfYprDcjw8U+CAcmTP1OTrwb9VtGyYd0fMyVvm+kttya4dwZ/36FazfQ7rm7/2NyQCD8s5O4calRAjzHlYagGTgW6ZWumCm7Ov/XflJLwe9tcKJcDZSQI/91V/LZi65EjHyzPry0czaFrBOOYFeG1nXzTgi0FHX/FrrTVQrk5Oyu7Iyfr0OGjdceNf5i5/pn0h2MWG9RVQ57ClsXzwTQ9qOuxUISloqJfa4TUX80SfyyUNEx++9iMKX3Nzx764XFudvs4rNzlhq8n3ko4EhKXcAR9y7Cwj8NJXampq977IJ+6mOlszF62Nnklm6urYiKcbSdpC2pkDyh4tN+Ojc0tdmyIpaxfmV2hqlOlXXgqTVHKYnz54VdvUps91Bww/M9MjIgWtoPbFUcy+g4/SwPWCDfwh+V8rjxbwteBDNbmknN9b0SUweRLVYy/bUFLbBKVR12egs/+9lg8+oldu8sw2PwMGfCiIY1SgGdYMxB/gD1t6R1sf6ITXNkKVmjobIx6l3D/K4bGZ/m6clauplcAgNoPPLM8caW555yoiDsyF192lmVnmTF89zL6HqdnEzX+mnw54g6NleqcqUvadRUZmZSN55O/LdrLTa7ZJr6FJAGx4b8MO1SG2gNvuslBH5iwrxBUKFApj8M/rSWBokjtLX29JUUNcPodS0GhOK6RXQT8fTeyHZl+rAgcnBn3hk56raLVbfYHxWN6lnr+olfQwf0wN/3MT6bEGhhPDHpx8ckjt7lUXK8WFSioYZsL1NziRlWlyFMOaMkO61Pcq+rkCQwFfNZvcOsJjrZUFsXzEJxEiv47n7LR92pyn4L0BGsekx8+lh3HNMkrk0VGvZ9gJeDZy4jy3wwcdiEVRs5r6z5QpIig25ADxUE51DH9jw0fsPK5YsDsu/oLeyeM5ToBDul7x7oOgOUrz/Y0F4Q48xRfMJTsT5Us3Hg3b+42LODzDY1aU11QcPOaoaxoar5LEyvQHNHnlG9taAdgiSGfqqZ0jssA6BdbFF4i3pIp2nhqT87lIQO9U3oyhBXp4rKz9v/1eOqlvk/dVur5Xfi2rGlEoigQJYfaIyG++Ey/QFV7D9NuCz+490phf00hzxvA78Bywwh+njsh7K1aOaWdqosLvg7cvOleN/2r3fRDL+xYUzRBPv+r4YqfO/Kgi1ItRx7A+HCrmjyrQloybR2PpLXP2Qx6Czo6JnzrA9K56MhfdTB6jDEy/M+ZSwT8oeCjlZFcW/ss98DNLX6pRrhDz77AsznnB08rUHIc4RWDsKhvmnSPBj5Zu8/XHSkUJPIR+cMAv1OQm9ZyZO1gn8PK1vlxLV75h+nn99emjHYN3e+1V2ueImdyPHkd4rLcu4QGOwUc88wlzFnYF6dEg9Kd9tMg1tYlh7pnb4I9gnkEMDttgsGjAgevls7Q8W02m/5P8aqx9etr4G99e93xv1+N22IBtLRXwDX7nRIXNFWhJxlCQDfYl57iQ4cURkfd9tJYoH0w9MTmc3MtvDhN7/7OaPtHm3L9F82+NJunqkLjqUTqmNnPy2mezBbgq4HCSu/hIbLLLLDvnEPvamH/DvJrNTcAmlMcmQJaAmMDh6SubbKnFh9ppHpXbuc3wAA+p0oaVnmBrfGagqzAnSc/sPECvXP2ScLXgcPabWJk9qBm4HuOJH6uYX2ondMAF34G/orzAz5Z2OYnQV4s6XtpyLSfJf88VWYeqoYt/6wcO+7dqI1sLsazknddy8qqLNcNakRALKfie6X+1fk1X0XklInkHvjzXpuig6cEQJ+BJyLES+Ae4xsY66cC3f0uu4sxKbAnPkdrDCrG0r0Wzsf7gqXDt0gm/cpbMmUxKQ3tHx/ReUtAVWx7kBHoe4gsTSS56XGBHmzOmCReDfQ7IAD6rA7/G1NZNeS+3NlZ2Zs0+vFfWItPHfbaxw7OSwhv9t89227UCGSbPahe0bpNxzWYOz8mSSL6RrXHVUD5Kd85kAMxsmRrJ2lXATiz2gbz2VmMTCT52Snl6rRj6TiP8Xsdg/aLHnWm+k4X/qtO+4kijfCARD/k3p5o01hw0Yk5za10yuxtlDOMtdMTCxdyxLIHVPDrIqAL9FvGnm7GHLYebA2tanKN9RFx49qLc0gLGxMamz8W/mp946zo87K4yRl9nquxq8nU5IljzHTzARFZMfTfg3RUCNeVdlLnmTjsq89HTMEdIG5GEIOk2XH2BZs+k8JfGWsZz0NgQmz4a9K+XH60ZtkSB4tOWvOGvfVEjv0u1/yFDDLrq/a/WgWF3oadsOKzM5BqzBfjPepwciCxusgrQ7+NzOZNN+jVCN4gcGwcf0TJgsyJ53QGHuIgf59DyFPvjgt6fGs6LKvQuGNjjBHFLutzcQ0KwthCNOg1xsZIT+L8RXStrFjL4e1cRzCkLHbCpkRdqXOr0mbnkKR0dyRG98jeWlsKIWJkF4/pUQprzkqsw9XUCcjf3JNMN9enXn+fRBU/Bdjs13nak6DAPZNqE+zHdPu95dHjmMXBehFyp1akEBeRiBn+aXunIX+fmEBOkSHWCQPcybHpFUHjdcbGzUYNvbyxpk+86aB7K4sfaSrhiyVE6yMnAu+YbOtARmJitwG2Lj+F9cSafNXhvNvmIAiWq8V9uqjnLGGScODWSkQImy61Z0tCrCJOWCHBaUd/CNv4BPk65Bc/FTbamIGMJtMGsJWaUf1chP4FnnfKvxWMTux/txqLR0jfxYHFH/eth3cZdTPu/T3NXzOguLw5W7ai4DvS9ijofPpmvLNJzCwlMkwWDVxW8ccHbJcAncxORUY7dAuElAR244agbxPvNJU6HyYD6Jvx85YqAT9JnXHBgH6lTNwM3qmE81E5RdKYOOpm6MvWk4VOye2aTkGl5a99vu3LQhAFvSGf5qhyIB4xPoElJM6GwGkH7bexWhZzN3bhXrgjoKQfekjRaTa/GJ6V+kPagg2Fy49Zs8uaTxpbfGGFU8+HO7NJ4b48gfK02+SMDUBFzX/2319nObmhnasukbbiPuQDecv5pb0pstmIXvWEH9A0BL4s5kXE3lsU8NTF/gr4GubnHKELL9Lbho0cxfCRT7xa80hNbdkXtztyxvVdWd8iGLmqnv888Urecq48W/duf1+WGvkthr7mdBPlwuOOhCyUjx9zZj1XPPzC7XHPkx8r1wzwGFqO/dUNujbOudOggfgKjuKGXcvAl7/sgs1Ss+u6pNO9JNBNmodd5ioaxyVmR7Jr+cBdTkuOA9OCTn6Y/TAu+yvQ8JENnejBA/NeX46bfQPn5CZxUSlUu2XqhVurJkR+F6aXk8kPjJBHr5X/xT77qwEiT15zD6jBnLinHG2iYVVn6ngqckVgFMvYd+H32638jnOUh9qXN8cmaL7Wb3NmEu4p9PkDnLWbN15zdnjIcgDtkmXN4DfvvK6bY5r69NL3UQ13ijdMz4pnsk0sL84PHcwB888gGtMjhAPFl9dNp/skj/iXCua9jUGQHf6j3fcap/5bBZz+jDvw+CWjwadOv5VZv5P7PO4h9X+nZ1CwVadHd1GCDSPr20e60GD1XhJpDPPpgbPlqClxVHD8qxmzg2+RoK2J60Vasu1RbeIX1szRxNxntzDf/jcfdd+b+2496QuzbiWFOeEgEMXe4o67EFOcEtLrp/TMtkgwUDQM/BJloLIb8QwXUqax5BK0DXYJYD54UmA+8aWLBetnJwduE5g+ildcAR7+YjUfe2CBNgLV1FeKZv+9NjlBg8o6w9XimXzeYI/y7tnBKOQEOmDfq4kMaoUse8Jk65MQoOZeDvSuFV1STfLAYfCnFXyrAv/kKr/UlzX7cRKL2ff/OCtOXBObmqDjhfpyHWufD8ib6TwfIYeVal3XAl3P4x04L+QNzG+Ye3wlk+lRpBt7TlU5iwnsOf89pA25qcr/YZgE2gXGxYDyBGZj3aCPvgznrA7wKyUeVgb9NyJA90r7bZdzvTnb4BBZjENsLhviu1NpqQUfpbz0p9ZXB/DN5K+BRzN28iQPDvxigZc3GUeZgmzBsakQEh10jlARvApyJaCNuXqrnDk8J8Pv+kk7lE/jvBt7wDu+vMr3AWAyfO7o5bWR6zvtLFa5uHSQUU/mVja9ezzdT6zLD9nwEnbRbdHiqAYcQdZKcKQn+z5JRuoJWTqpIbBV5a8Uuz7Igd4jR7+fQRi28dqs5qoW8mrsBwNCnDHCXhKnNBfPouH/lEYFHBS0L1EVO3aDGFbwvfjSFDCSsi1bokwp1AM/kQ0X7OeXDs3aSs3Th/TAvZO5fqzT3x8A7gcbmfOIV6/EE/OOlgSSKkm8akpdGwXsJn7mpdRjyMGcM5j+aygE8HSNd7tgEGHUHjLZr3PDRmljqhqup5XcO0qe5W0zMnZnCv5fD7okd4DBztsHQXIcSqWKWqZ3Er7MbbINPoQQ+8zznCOgdZR4FrZDhblehOW5Aw4AJISKCDkTrFXQgAV6Ms6/9VIHHEBFGpn5iNXU7nu8x2dSXGpfvTOAxZdYVW/9qs3xRG6Fcc1s5q/ExB0ETmkdYgMcuuSUZF8uW/XI6pjXMFS5wVDrkTOLGyUf8RkeyMi6H375oYeiqIttURHJqeQ8VreCd96+ed1Ht6jWbUJ6irjsCAijn02tCO4d4TjKNUh6BR6edNvXtIObCXPQuMrTPxPQhon7JhSxPjtwy3TEWmNq3ng/xNsl5R8CFpC2M34s3uOvPdYRCeGf3rEfH3FVHGGspIv6hBi87cxwc3XR3eu7fWt6Jlu1MvWzwV8pveGM1vLzWhXbU1z4B/3JlA58rG33Lr5uHTc2E7fPfXiUJug9YCxCDEkeC12+jdJdpLmiMK6Kz/+0LRuY+ofRETDrOu16GHZJhA6yIkBhS019iq/sEOGPFCjwq+HGROes1n/iSDsPrPIW2rHPg54bUGVzqmhoMBJj500ufe8/U71II1ilbIerMpgfHOxXrtXI8Autew1qgPPQ+lEMiMc1etR12FVUmX/YE3iAm4xoRmA+vmALrxOQ2n5ilvSpCh2ZMvkHjPD4cniJcxcmG4YrRDubwR2ntY2p6WhTgx0MMzgRiZ2RT6V6eMkDH0vEkj6VXgb+lPUEi0l95tP//nFu2T5vhZnrTDaChuRTyXeRLDiwKfn7e1YN1JUh/KfHwpOtXKkKy7tkuD8g5czpy5qRM6ecuj9V4tICRYlOfw/cF17tqUO9Yy9ec90S0szGfR+DM/pwvwB2hezY1OcbyXm8oxe5ll7mHh0KcCt3RFCUhc1IHPmNPbXlKRWbh930pTV9EUd6FJt/M5O1bXa8C/cjhmb7ObrCFBvBQp3Tcg99BJN8Oz3MMzMk4BlZ/OzPcl6PumhB4wvlzbajamOi+a3t+tKH6EhMepfa3NLIt5v7+/9NkE0gb+Djf38Swvs44SnBxuo7nMptm1Ez+qTV7LaPhtllQzr8yPQ9tjHBJTU83XtZ9uVYUJ1Vs8nkxqkyPBIq8s+AX7qxR7pCs/jL9fWA99/6PKv6d6w3NhpacJnY7ek/wWQ5os+mpPUumbzLwT0InE4u4U4780VD5AFXoWj7H7fBbR/Sb8q7AQkFsYSvtP6+mDlZjci834AeE3QYY8pXbg2H+gtfqqqHjdcFZNdobpt0KfAN8vrz/7xymcyH2HZj486woqcjID7lYKDO9ksO94UHUhutPGyczt1PwUXMEcyirLAweVr9qffQsX95OTheYHnVCoFtL+QBzqQMa26kt25GA3c+xP4KXY5WwO0I/TY3H6sznN2L7C45xbmq1w5w/S93hdvzjtAX+NvfPU1N3lSWv/Pko2yB+DaAttEPAUAmwDkmpP/x+fjc5tSZbjwJrDNqTwx74SL81XDt4UpK42scOKTnFb402faIGD372qwKtYMHnlbBPN7W6V12RG9/IScbkLN73OXkuGHx7ULvhlov1wjbOG94B7c0hYfpBA3CZYgXeBi0xe5aTOpGBgD+WaQ4enG6+TUXSpaN+GKYBX2WZ85//XuvN1EOAOC0yWwOjJ8C4wG2m3pVAs4h+c8sQdf8+6yJZ8cRW8FgPOpi+K3qRmz8r3j2aYd/XoalFkDwqThJ4/+ADD8/M7o58+9ff4V4jHTGxPGA+5TkwmxDJwgf1EO+LezT3eUbc8/fFbygZpE5EHWJP2R2C8Qo4eJY2QkFuci0G01s33FGbT5nJoP/6s2Hgb3DGr7PRe8r0HVgS3PLq5tr3ufsXfsZ+I3ruM1OHht0eJ0st4CJCWCsdHXSmwu5m6kk11m1tQ0/SmEx0SxI8XGw27u80Vl84Hq61jVnW+y+NQuDbDwr0DzwdFxNoEe8s2qfAO7xX78tcOsD5XJZSsOs50L/7bCVXwB/+CU/8W03AG6K7l0ytwGJPPLKrmv7C3OE/teHX2H/xvIV1aKeUGeYLSn55gleNOJptOnqIOpYF/vp+3Ey/LvV1srwuEx34cf1emt4KQffMJv2No/koN4Wr5wLDmFhsxIuplZ/baKyC1z2p5Zha8D2BF5jZFcTaDz6RXck6SdgMrnz5Aq8mYS3sWEwoiT8fGUVRw/iVgVZlm3/JNDCetZyqgGzAymU+kaC2uV+Lm1Pz0skd73WvjZMRR/D7AvTe5abHapC8U9CDNgc/+rU/liwROZp/6wUou3m2yMfplO2Yi3LwdlU+zAjm+7UadFKFzYNZ3kWEbIMZcMHD/pFa6MXzRwZsk+Z/nEZYD/DB92pK7jno2zlUvNLoIApmN5z//Ddefg7zEdbRl+gVzgaSNLb6AN9yTxHp2IbesuefK0aHqxD2sRrN/dtX7b7bnaHmDhplA0O/lZx8QxwED8IvLNxfG3aw5YR2mQ2xUfsfnDZbzhKUBj4FLxnJiNBqWMFj8FvO9g/pogt4dMyZ/WhcXLV6Bm0hL2a74iA5E0RkOnhWBTpGNm2Xk5/mes5Kzlc87p5VL581kqa/hGfuG9fUv0KcB08k85P9uZ4FYjxCmsbdBylQpyLwE9r0FsKnMzDQy3+JUa2ZQyizk0jxZMkhXoDnckGDflqe/NANncqBj1XED1jYjrKWngp7TjWaqh6ZHkHz0U2+s14OQqT3dlIeK5JbufEH111q+rS+PhfhpgcWkFavy4x9rhXE3DY2dzKTXWWZmsac5q5f1ltjcu5Ao8g5jZOV2J0La8drmZyZy5+Z5dm0x3kdrRqYppMIfEOhMGGHl68cThBrVdTsMoj3RyvxqYV2rPcfWOy/KLDGmS0jcOgix887dpl7Mj0WKR7BU8KzLjfFCKe03IEnpDkMdSp0j0f7WQfS1DCpSKhfenisHGxqza7C9BycmEU39sAuilM3tetiBj2bZcuWa9uzDbywI0cuf+usBriUo7wfn/spdbuAhdJpJ+Dj375cKCBCDTwaVirYa85rOXQVi/bsHJo9BY7h5922GLzjBjzGNJPcJ5Xd4Zzra1vIMUe8YLR0a93cQVtmtaknd/APF/ZVaF+CPlosKi0yHVxT24UX6qUbBDtrj2PmUo29zJXXknJHFCg4s8bLI/4GX+9a6oMHnG/nQmuJMqv6+gOx1ffpc3/Mpt97Yb4KLxB3JDuz9atm+wrG+soHQpTtP1/7h0eX85Ym8J/Zp8C2HHRRT+Qd2FDnTupKeN2SIUeN5swlfeLB1IVR05nrZ+omU85M/pZ1zU2OntNR8DdzDmsTdPWmoiQ+o393YVwc6yy1lkxF3Ac/s3J72AGLfqRuaeEITfUoD/mw250cklRc3SrT6yaQpl52Xo/2JRXoQzKcU4qqplccxBdlI8mAn8DH+1Ftsg3+91pZ6aKvsm/cvAcfbOs3/LWYeiGSIxmkbPFNn6V67HwOLA7e/79+RfjcjjdHoe55stbOPNPyufxI2z+Cb8fpkORCzEs+IVNN+7/Xum0Qv0IG6yB1EquNVAVrHTXucK97WcB8fEBMsQknXEJMA34wdVeAo1SaB93uLPSOM92dOVqoniNpH1bu6ivoyhk+d0nRzDL783X+laYx2YGuj/Cej2KYH2mkd41F+mrCx2ZIwpTzFGJVZHpistCL6nHYWq3ytJBxE0pYYzzKKTq0Alhj6kTp2OdMDzBH1R3+bfzfax+gyASQEFUX5uyBoZUF3vJLsPLeUtBvpA9NQNJzcXCls8xiCB9toCxuIf6/szI+0iC5gw/9xjFKqqhx03A/4hGYfUt2oB2mzuerrshaWfJSh4d7s4UOK2Qqx6TEWwjM4CeZo/3UwUU2JL3pd56DfpX94IAuLDB3afvbh9fbzP2k3zo7E7o17iwYs+7g8SPpmq6l/+6APxp+cRoNXso2m0ymL9P+uw15wnq5Aa8ljamDhtRMBQ/Al5g7XiGxJFAwuANbJrAWP7jRfmehaS9/c7HECIQaAO9zDl7mdedxSZpxP5te8Az5USnCjWxowoGvj7bfn1FH62h4ykm9la7+gXnjV24XAnOY/ATwsOouCj0BE3dkkqd8y5y8wFGDZpLG3czp4IniVc9hSSubOTBnYj6St1x3QzvhlYXLt4wP15YB9zg3y3huGnk2eNBrE8JHFN1EHODXcc/ayJ44wzNhijRRdzHnOpQSIgZyIWx/kf/PbKYXAM2G5cBMTGaYkgi0z0ruVSiTOlKXzPbvTbS/1Uz54GG5HNUts+Yc4shRxOVDUOkr++8VYkRm7rLlAt+aSC21+LRA73o1Lq9cLPAG+Km0/9YW+q3tB49qv+cOPKOCQLxT30dbphUwPJ7SFXhHN+YOB5IIeHDXbHw4mlx7dHjkoUqPdvdoh88rN/3a3c5lUSKYRq/4daLT36u0dsC/wO0BeXD69wFMa+p0lbUDKE3LR751p4rjFE/NenLsa2X7A9GkB/f0UxfanFedcKEO3PEojSzTrzTPXVKcOei4/ne34nfPB8fygGE8lKmr/357wHyqTpuppYijitm84vMpLRqrLTJHxl1/jrNNMO+jZuvO5C6ont2rEU1NRCaGDk/QLy+3Ft781kgmL0/EsPBmHuhNabVVbnhXU2PuljyxPtimP2sturUs+ImPj/XoLEXpzoGY+FuF5I7ZwC+W6eOutQhVfo7kA2+mRjj/SnVnzmNuhK3Vi9lUeLtmpgZawAn4pioblz4PTS+e5Otoc5ZG+CBRB0z/6TXvyzuJL2b/85QV3a6FdQncVdUxL85UW02cMEJ1dn7ff5hz9Pb9z7UR5L/cg9sDYlvXjvsfSZkrXdOLwDc5V29NoD6EqQs8rKHauqwGRgTY+sk38pNuplYSKWrTrwZpU9E8VtbKaj08qFgZjy8wY0oH+ODN5CL/9wzP5l4U3hKIx77LED+2wd9HO/KPo6vIEdY4tk1ukCzLSWZNiDPsHq6cpu6Zluu5uAAr8EFOcmFxec20X+Yj/m4CZpOQx+WETum/O1nLmluak8F+HB0uTV1lWnBC4iRi7LZL3cz0Bh1ljJcGftv0WALP7+HI5CzJdzGuUTp2W+qiJLWULQFHTa0eArGw2vxCTL53chP8+lxHN3w2pq5AwT94uB65k5TZIFGr8S11MbgPdKDDfAc/r0tgdIhxOo9RBVp7gvf0UQ+Nx4ZyJabWBPWPylkPMFemqjA9k+cZWOzVZ+TOEbfyQP+kw342932pleSUE8HAhEFMTU5b6p1sDt7U9NjoMvheDj5LM0ZyiAE/zbDcqz4F3Zi9Ep45GbMHZwsiNnmoDRxVnLx0Pq6G39wFU5fSoZtOWlHa6a/GKuPxviqxTDk4XIipodTk3rzvb+eYlzSecTvYmAQZaPkac0v+sGKOqklfMxvBmlUz+Lyp1v5rP+qtGhj4epvk4efWDiHEZI1ZPD/FNA/nfLlTp3sS8KrMkS7Ll60uEpIKAhFWP8ho+k5yQEc5V8DE3P70zhHmysRw8IWpCJ/g87fXWVuLcJHnywU4IqxHnnBnTZXQc61JSjTfNWNygvcsxdR5mJOS5qbvNYE1zp5KZC5o2r0qLtdymiuK/trpJIs6nKs61JKHCGfAMv+YzUmBnfFYTb993XkjVk5RZ5+s/QODpwLPHgGHAQ9iAWz9lWke8Q3DHJ87GnYOteWl1HgubVmehSQY6UkIb8XR2mdDs2Ucv+YGqcGH1yzbWHyxsM1cPMmnFOAj7O6//Bv+LmLtARvappf2OSBhHZO3BiGI3SjDjobX8ee6J4QN3dtpIw/Sh24+4WfaI1G62b99G/BRnqTomebLo9Z/7bPwutT0CIzkoRH8kg5cKoTe02F+B290lqaets1NXWrKuGJtiNN8UjfQD49ZMFfCxdx56EHTz6mte7X9fXmHULC9BTyeK47fsu0TVuzNK4WOYewvqZbgd5egsf/C+/x8sABf0wKPkiGv4XpqQo9Qjnx46Bg4NATfDpyDIjzNS9ZnEHu4J531Fb/OsAaSJkzea4tf25Ag8N6n2kUdxCjahjoH5slZoQ8yRFteZFYd3exmkKejQ9aj29lpPBOIaREf5igD1gCvN4rA5OhAzBDrezvNr9xv8D3W47TxC+fgbRh3JVUPcDTzGXGPbgrVECP5sFQkICxzTP+49cFdZGpUSTxaV/DUCQXdyOODqckNz0+ZPCQKqvEER3iGGPKqD/AOs+J6jg377X0WyF1ueQ8c7qu2x2kbJN+l1b0Dy91Nbcza1GWeVNXoxCnHxa2K7p4Gqsstfueu78qAOefg79Zy1bWg1e2kPezOL97wqsL4z7koRxJwYNyq9091HK6imL1mO+xq9+8DmFFjjjxi7S3lLFc6oQJ8+wDxfyudfVFH1lppVWI043OBbfy+iNydz+0wX8tt+FcXK487TXS6ct249QR6+74vctA7GshnTZlTwyMq3cEVPS8alLrMwbfK0ddzuMpSrODq0WZYv3SbZ6mTquwT8GJ7MNFoFQO+50K/7psD76FHYx0eLNI05/D34/nQhM2d9829Dv/chanVPCAnFzLPEU5yiAtHmNvya3/PpuzZxo0jQz1Xo+mfPmzAR8ByJpcg4cDOHyxkr3s3Dh4W8AwkpqYPRYx7FjQ7yfkJ5vO3YKsDcWFtaZdyNss0nD0ZHRwiOszhbzDwdYySkZl8aUtmtfW5pvbnnQbhXQpvYvTTlfY/xp4yB/vt1/5s7iHlPOnlsF5bPiOG/t5bDnFVcPscekcaPowXf4BuvNWchGLSUW3ZaRVzeH84oMK8l52t+LxwzsOTA966AI0a0CsXKz7a6pCC98+cDhgS1ppVbvB8gnpKTke33J22xsVPcwfTep7s9AkO6kDNOZ+dfNCJJFmvCcwnw5KoFGgH41ekW2pq632QyeQL8teZlHPasFX2pu7VJ3gu5gCvXRRwBPiELYfnBFr1A3H6nQwLrcbkUHP+VTq6zHRiYXF5NsC8KTtsdb6klJEsG7nH7ctD9sxrQMSxe3nVCLqqwuTo+DeTC9IM5bUUXGOIqvUADD/MLu1xBQxnlz1aZMFTyf5YVeF7wO5HCewP/lqKWA7gzRAL/HPeqynVMOaT/wYeeCt18097KZKmr+MFPDfNN17m4CeBW11q/72npk6RA3PB9jNw2A7Qx09m7UcV+DN4sK4Wf565DZ7QVdNvLWizB8DWonEbF3T4rYo/LWkn/19/A/kmlnvKxd/ZUDoQd77zQWHcAxOa+tFchjA3tirWhSpMr4LD7mSRNxEnt9S5rPj5x2E9eFdnAcYB7hUSiV5farbMta3hN9bXnt6qImvDdnI39dlg/Tx4AfMedUAlCQUfhE42riC2niRbQMe7Xk7zo4nnHwX8KOnnrrT1V2o91na0HFjHfoqSoNQ6oCFPsZ0Bq77qH96sM8JH4GLTt6BSVIHHAQ17X8Bvz9/tmJB6As3mM21hjlXOYVN2smW9MjHZUqHMTV00mu9N3z2Ix+Sb2drJo+bOxvUnE8DZo3zphullOoPvsMCHw1Off3vaNJui4EE/aKST2uVplS95W3BR28BWTmabHlNV4Nswp1Jm6libfrnUH9SY0NTygMsG0zPm67/vvepvbKRQHnDeO+hq3w58BsWhKsaDuXsI/manhsQDvje9PQMFXjV3ljzb/M3Urmts5KtIvmF7ds+ceJlYBaXJDrjmZLp1l9tfp4qReOVvgAaN9fDwMv17t8n0LPwGX9c1AdJ1kGRs7EaTXyRBn4mrrpWYRYXIMRPIBS1nMkxuQFMJ/E3QgflDhfaJ54sQ3OwDe198e9XVN/dupEgLMgqkTC/lyjyDavvcKKh/Oe4Mf/x/7r2p12JYzg037kgmBu+aIjRzjrcG8TgdTH58IrhQmE7+h5pCh+f7V92eHtbbt+mRXjnelhZ6ZqG60QI75UDsxp4vuD/seIR/WoEjZfsQjzV4UWLuGCKI+e+Z1Xh43IfK1nEz4ICJm5uC85cjep6FWsE/vM4QrYZ9ujCHbjmEiRLeR8u7L0HVloskbUCPmAOM6YAfBU0ibOHY0l1pSfe0lSs2e/1ImhoWoPeNDeO4Ax9wLm1+azWycm1qds6vuzBRM64bLg6gvYPTMBiDCJu+MQeq50X1+HwW66YiXVW2xE2Ace4ojYHvmMmpEPoKceXIBjsBffpIw4dFefd9Bi2SgSrl1jHghNf+4aF00LFFKiNc/0B83sFcWPLfeoGzjx11osCnNMQz0XJXF9Lmg8dhrXq1M08qRO9g3U95pHrCVFTyy1WIdUejxxVPXVYaHxbhf/3oTX+so5Usiq1XFS63OkrdJuh2ii0RrOkfxYhdfoGv3vCPmkqrHPc2mQa73MhZWY8NNIACyw/1c3lnw2Wtti6ox/2pLZK+4jIq/38vxdRYiBqK3TwsV2p34In3tI1RnunUYeHB4cyOpWYP6Ximz5xLwOfVKH0APztpMfellls6Mgvi60OJZDna5E1y9VZOwPrGr1H90t6T4PJCLExNxczfvmebD7F5H2YM5RD/4sqc+E782bAllU53qwZTl39ftIX8SCf9o0YOiK5jYMM84/NUglZlFvAT7Srwjl017l8aZdcxcDT4N3iGvtmHYsxORLgXJzu5ki3cwD+XMpAu8FfPuc9g3KVABxfWSCnNnR1OjtXGXTwSmTv7DxxwyeP57RzpOWd7G9bO/9eEL1QMrP9RaRzA74yK6StGisBa2YH+fNWjnTYWvsFcODcjdqoeh+dYgv/s3HNU2jBHd6LQhDm6SwVwS5y4TcRs83cpoGHGDq+cdl86+gDOD2f89z7RE9jQOb/fwL/ir5MzDxCfXBqhWxrZF5nfrm1U7s4xsOC4FunQLalld6z/3TsCL0p2lT0fStbYioL3jGa/dP/l6bkiPjwrd1gZ7xCw9gaM9Hayligd5wtwKTDoX2Dn/+J2r8EX+D22idnXO+YDCagGphaJKzW6shh13JrnaksGanku+dp/V+Gr5/jtISEGnVx+qMfSOrk6M/00pT5YoAV35ZKo6dWqNvQkiG2YeRh8OdCFfSOB74LXw4JiJhA6n2NgBSu5toJkFbjVOtYx+BsH4u6rXqWLmaTgLZYU+C6POMQuZvbkYmUlFQvXqhyTN9MvAk+HtRyWQdnKFYiXEOdBqUCJHfAOA8awjreGSjsP0aWdcJgZtgz/OGpYX/tsh0z733kxz5LyiPXqjDc/lFrNbShnzP2PxtUbxKOFTBKDnvaV1sAx+7AZFRWmTnScIO6CP4rYXYBmnxzvXPbqklK5EyN5V/b8yoOl8JxdJdADmPcb5/sIh+naDCYXvCtY8NczPbSVjXo54oxFNhN96Z1DdMajPUmky2b7vJ+juasjlfGtm9poPZbWH7e09kJoJaroX25PzC1w8GLfKdEtgiOtIF7mGofS1OcWK6piIGFLB8DnFzyoS20Ppgco4Xx2Te5rrQ/XiqKcMB1lA3dhnhxI7L/VRZfUY1IC279yD25sSrdy9MLa1agO9z/t6B2Pm4/TXgtgs/cUvEYG49mKnQfPcYH4a+q12xzxtXS7Z+10z2wkbxWbH3VBhvJrX8Czv+MpvFLncGfh5eWXQb+St/RrIQ3LdoytF8ZusHbQuQnVXYwQD6k8gE6mlQU+pydOPoIPDNAgUPKW2/OR9PLRaGnDOpbmDEFBLM2tDovx9gBWwnmUvO7Dgu/2E6bxWofJMbfl5SwG9xzC6zFZleLi1aClpclNA12H+Z1kFjJzwy9HNZe9rtIwOWU2yVXAHrmwL/nXcqxFMlQxdkGV7RahV74NPbOkqN+XCqPEZRHJT84fGD/8zFwsYe6n5hnw5+KLEBTYHUydTYsDSpcUeJzPNmbLzfSrx+5w5dFyBEb/rq2ZZZaH0xFd05C8eAOpoIPPhWYy/rF4COuELTtqXTb4rHMtOGi/om3ILIi/pu/CTG3/CJoh20JXXIBOOfaBhx6q0ecmCv/Ge3wy51lpvqeZrW/ZEL5y2hPiotNx4x0FP850+Mx5B2K03JuYdED3pgfrgVOOK2vYcv3XM33aTxbGzTDnEHMlsTXLJh9GjENc1pfKWUupyYfJFUhhzbRCvXJFdnyCOAr6XOnGePkjdvgqNz+oED8DB14aFjrlSLZ0Smw16o+MljB3ko+2wJvJC5TWojHV3NTOzK3hWfUJN/1u0iI5nwP9Jl39eoabtPGFO/M1c8t7G8Ic03JqTK1b0XH6tdiCzSfwsom5gymYvgAbY0I/H2nIjw1T12zcazWR78xNZA2vlTmmHrcsCUuEqYMHunn7xwDsds1h/VY2SdINXbjdacn/rimbZyEsh4JbwAUqBOrskvumQywHDwI+rXsv3exZu35Zjd2lcrufE/gV5mKYNsgj0e5uasm2cfPSqLGJL/eU6g1TH1jPB88oRzqsu9zFqYqAZgqInIXMG3g2MiTXyk5QPsE8QBiVzspL23/nDAu1mR4aq6NG9QNa9cOLyzMVnsc2/fKVMfz8TXH5k3NdldZ6ywsUsYibOzzPmtkot5ZCRaG58zenMUkh/j/Bu56o2SeyIJ4N61EM1rPM/4Dz3qfc1neYl7JlSgDnlHn/7z6R6TddMmu/sIEgSj9NnMBErHEuPj0ONJ6yVZTO3NGtvOYxP6Wcf+MNOTXlwKje0dRVacDdlsPOwdMMfg+fX/Uf1ISOxFpf+QCnalRZLcqHGuSJQ4zOKDG9c0pgaeDFlWI7Nf2QM0aTK7DwrgY/VQU4yyDmwpzhVUhygfS9nFKvpVq3kczO78t305dPOiqZs0S+YqXJSTqj8A668Xu/NQfmAk23sMtLEnV+nd+8M08kD/nO5AWf7PmrHkzPPohZ1Lz/+dnE+I25BN6bZmd2MD3Mv8WYHMthnuH3XusrBm/6A2NvY+R/YJ2c/o+pa+tuVGeWf4mLyRo/jg0CYyMHoQvoDRArBAQmNrExv/60Mtv5zsOsNbP3TIyFuqtK6u5K1tgDLfIAvHpUIRfYPizZfv4sXV0y/2MDHOkOXGBJRGCrlQyVjQsitqfquR3LFZgbm4KCmTn4zKvXdsAdeeHXQ/jA2f3kjnlyhTh2CuAKElCQheqd+umTDZyARvrOhEzxGKc1P7icbV1CyVFG5As0aVK6oP+DfpME3hsbJ3PSc4EcHwB3AVyP/+ejGqJnQ4npCX1UiOs6kJKZev/BIwnXuHY2pr5oKMXiJHoqGFMcdJfxL42Jndiy/3gypPvS8pDoH07Zx32tpxOOpiD9+azD65zNIyjO6TBbZRhYVS8XHiwbzMhbhvQN9tJ3Idqvmk9f8jmPDeixLDNnc5MGfrWrAa+zsPVKC524ZW9AkfCM6S/gi7Z6zkM2LMfyf3OWovTT9KgY/9k/V2IjTwpppQJAvvd8LuZbMqQLCT8e8C4PZr6G6Wn9mUPmABYA9ybCs5uRj6X990FZa8EaLdxKroLqHR4S4A//8+SiA7cFcDVu/NrX3eHoTCEPiC7Hdi8HdWmQJoTvfNDnkOM4aKqDV/Up6Gj7QSCHMNCE2ef2Ox0Tqx6KFZa9w6M8qhDlCeS0LExemMIqXw+ZD/pjNbN7+TfO+RV4mwe6Jix7MuDx4hD9YRGr8MQ4TWbWAcS5y/rtuckR/NzpnNHDk5sZSqMOeS47eN9FYvywUPrEwKVfPQhFf7NrJ3EhD4yABQw4xFz5aK2zWUNeW2rr49qYWnqL36uef1cQP1Kb84Q4K9HfpWJtkvaxObffcOZdzqG9que2rXnyrPqYNMJ+nc9nRLQjHj6cZAye8G+vcsRLHaL7OdvuzqCHlJlTbGbuWu23ZOyZdhAZg7cSp70zx75A/sBJBNLc16e6//AyF02i52Yu1gVSg+kLeZ3BBqTbUTroogm1z9FkvOQoH9o3JuJdgySh4R+bBdiiaPeEvLivgUfWzjKYfjrs61vFVdZ8zv9qcPLkKdlUpFS/m3lBpN888PiLldHPv7XsvhS4pSiOMsi+ZaBhfXhk/AxYAJBraslob3HAyp8ZyWN8BI2+L0O2KcNWA1Z8g7r14XMhj89AzuIr7ydMLazJ8NvvIEF7L9UKvOvz5poZWOkKL43JCXI6xLmMaqfdCKRkYsU7JQ53lZMbX+W5sg8rAR1O8oNNh58ZX5+gP4M64hTUJmHuwS6c2QXt/fqsa2rNK3X4VIvJz4K5Bb55rKna8Ii5tXEK2UP8rQq+pxKi907EIp90jEuFuKfs2sP8YKfMM946PLFJq4Z4lMM8p4NXVKZXi/32PEZp12bAGUjZA7ajwkpo+xA03gkWf1fOklPTyx0S0TBTS2Y9QGv1EPuL0sWmti9XCi+yYOTB1sBOncCuRsnhKZ+A37tqNOeI8lXnsCjgOfAzj5k7bUBFwJ5rT7hLHoWFvtgA+DlglORc4q5/Yie1qbWEJeVTleuhGi92A3gpfeRD3iVN7y2NjxPgChvCzZw743d9ecXyvmb2F3BVmoyGq3sD4NN3AbrReLtSc+67kogLHrBAtdxRZeomz3QlgIMepn68N/f6RpNyxyupINcauC7kzr4AjQN53AOce9XADNgnz6OrC9DvKeyxGdZ6gpzGAVuLhm0LgqbEzPyvAdMh93pHm3nNECdnnySZY7eFbgc+bJYz37VEIzO/4pqs/bMW8eVkxzrN0esedg8aPwauLFnXGv+3XgXyC7htxkZ9qDk/n/P2RMw5Wm/T1Hh7dW0HHOpScDNbRGY83y0sai+0a+PEjWPADIhH8s74FJlZ/CrkL/1V/Fc/bZU6dgVNTS+YmSFpZj16oDUkM3e6tlwbs9ZWYifO3IFGigkNHmU+3VQX0/r5Z0M15mpA8mQt8E7n93L444AmMD2Kr3l672ZWAc/bd4gVauqpYe/uWN7uMoaOGLg8vIMHPI+reOtALjCz85OTK8+n53Y9B6Z2VXnYJfZpZcAdW6dcUVA72wNofQyY/SiBs7/2IeBxIcI/ayMu7gmiCbTWEzDKoyEpm3H3KRk5Qd6J2HM7ALYc4On9RnBesmWjVgmcVQ5Hx8x9jm/N8OEq/+Ce7L8WCw8rC/trBhzsVZtKg3lXWi06WcE96w1eeBBoMiu7w9qMpi6EYAycJh14mqzBkli8S0FvwN5xklDGCUO46RLvLLxd2h2sRnhxFV2embOsoNkeJUOvWYvXSgePM2vTKt+11JlJouWcDaA9BHkvbfyJ12QhI3BhYXJj+wV87YktcpN819cQR9XKN6KTnxA3p3pY9ieL3TPQLcVgf9NASe7/zqnAxm/GzIMlDsoBNyfQVIdqgBc94ot0Yqd2pagpMjWbG9UTnOYXU0ezwrNoU6d89lEiBzL+aL9+mo/AskA7vtXhLBszmxQdXtrh576/HOsr1jwoBT9mGnKx9bienI13ev65q0H+zMnJwuIOGmUv+8mugumaiI8V9tqm6fDGzLvjwbwpBvmeWMrHP7Mwpttp7c0smtc+dCqNs4J9PFgUt7CPTnzY5qXN+wShkjD8BA6aS7Y8jQdD8rOGqXd0PH58zu8pI4EaDksSmvMVtSaB3kMe2Jk5qszMZ6byq/TVy5vganwLcDZ/0sF6NIHHEtZKEcx+Ym1J4sO/05AfIKfU/TLJ4fAsYW2IpfY45Mdy/AvsddGZgzfNsF2oE+uT5Q3V0H5x/wP0/XTPguB37jdz0UJoeq9cyA7D1smCmFerMrND3pWjTd9NQgNrpYPxueWXevBKbquy0he7EvGc9Btb8ulWW95dRcBlIO6rcCE1j4Wp7z2CUnppB9BTDxlsN3U0UdBXZTaCJoi0nRmvMyc29+dBYmsvi0BxOy3jLHiArrxkpjozwCUHTdL06CzNDGhhj8A/NrVlEEENSXjwyv63B+G/sxFQuE7viMG+JdlcysjoueAp+uQJ7+aZWmQDe/5K0fTgOnlyG57XJQV32k/Qv1Yd6pvgmDYUG72Up/0SVXa8ZP3hkY3x70wn4HPPLKhXEaGd8dql4yQF+1hlmN6P7s4CPmjRMG4Bc6xySFY6qjfIvSMX8IwROsGePJlexNpWZl6t8Xd68H6+J7rNOJsfKvjFr2/iohX7bU6M73YIe7tThDt4rX30nVk3m69xqpB+o7BmQrT5yQKNaqNnoU2PFr8kzMzjClbgfodSPDzCCKqADxQdCCxnGqQ1vc7n3xJmLZVAkgm1lONuj62DB7iUpm5bcPph+iWv8GvPQDFIV76LHE01Ai3XG660bBJrmhQ7OJWjR/7cPqWzYIFi/2cuJGvPYty9zkWv9RhYZhYVpbsHSNKW5HyfmVlUHN2bTlkiqq/Cj22DgxmqvXLVn1W4LeoOf50RMp6qx8qeaG0w0NmWEE9OA5xT5dOomCTV+JpzO9tJTiwRWqsY9Jdicct64CDAY7hoszOXnWCcgG4JExt/KQQxmvO40upOtLakOTddNfBVyG/7bSA76QFe3CuBfZlflrLTU8LVS+tdC0dtav7XzEnqa8ipKmIe/O7BfeJg9gCtj0vGJW1G/C0F8Bwd31IzB5DWiwiXs2TyE97lLh0RTylPqiHWxEdvoE0PFSfnM+1/+SF2LJs6BxevWJ9c7VagYc+wDlmPY+x4qBB/NpV43CHuACeNX7mG5W2DczZ/i6i/8qhNWSg5Zw8X+N4oP7dP5vPPyo0d0E2ptA+v+Eo5B0YZeLC2M2jipTOe8ELMQ72iI7AMh0NGlwKF1Nl6SbjQjGvIBwsvHcsrnXnFdnvE/dbFXXGtVwXce7tgqhhwFr/gxC36+VXP9qwG29y8xGWvICYw/B3pFLS1ZL9AHkoetAdunR+cdJgKyHt3eLZDidgzi0jb9K2ZrXYDXVQ0gb1ADJPC0TvWyy/YtYClLWD446W/9sTwPnj/AG9x8blN2I9m4kHitj18RyzF/FlqYA7PrW88EUEX3U9r26dDa3o+34WfOLRHHfM1cDJ4R1Y7qVU/T9bNbXzynVH0mnM7qqB9Etq+UXcC3dM/qdAZoXHfoOmYDcmmcLFIGc8oR6Kwbmv504MQh2WoNGjrAX7epQkSj3Z/75CjXMp3Aoe1lQmOpIV3wJ9fs3Sy1FV5Mk574HVubbfJjxYObQHfQauw2GBrC1xYv1UUAR/efjN/ZwN6fpWaJxltQVNMoCcOS43ab8jG5U8NtsCxHKQj9W6gLntp8yfgqFf7qV33zOIDuhwtuU/63gY9dk1gD0lEwpoWV+DGD+PdXjteryDHir4FDPM60GRfgAEdYH8H7/kKGtRiNs+U/3Fn1hQR9njt+X0BsV0y5QDncog7fZ/W5P4zk9XepWrUPWagfRwO2dnUXE6ShESzAS2Fmf0x3OzKhQTv86IO4yAFLgtaDclOH5jmrcqlVQ+vmWmzR0AzKM1nzNtTkZOn6NBX46de07WrsuJz6WznepVWBdwb9u+NrjjNBlWCHsxrly0JW3CtpUMFYFW4RfCLUYgA4BtOhoxfo3zdw86Qxz3Y62806jem78bME4NYB75nPaQz02ogKd3/uVfZNiSWtqq+sEHbC+BX11T3ptZXiv2Ws56M0tI6HSfY09NFRulC3N2eOPLFRb+BI5meXuMljpSr0sSxC9AeUcFbvwL5xlBqF8OCQd/HZ/ZwVLh9P/ttbOqlIF6ipNOQc3rrzOI7dph1RsbtQdtSf7jFsP1M1vr3PAo0oumoPGEU50cXBFCwPZDQOyg//uLAYaSDS2r/3XC6G8v9FniZtfnpadbtG3DQ93rFpv76Tn+8E2Oc6OlbjPEFdJsH/DuVvf3r2XqmOs96+3h0Ys771NTKmVm2Xxz9vSec3OqQF/Ddvxvghce1vwNHfYf8d+ZhnBQOJyeXTM3Qbgodd4DtVuXwAxvMvTZ+kqCwSbZ9nVW2WEzvkOtsGmFPuTyp++BRO5iexZJzreCzCKTD4qkQ6HzAkWqNbQz4BPElMncXEoMrIWHCB8IXJivJ27fCnTDtCUmGmdfi93sJbvMrEfMh63nCwniv4Dkk0xsZJg8SzoCdB4v4rVtofUtF8cQ5b3G4WGxVDsu2Szkg8d+83h/vAZFtIxERnUIux3S3sr5/cWxXBWaO2oRKS48kRM/SInMzTPfa/TA1Nl/U1H1ELZdCOVirTK7pk3b6DPk9zUbs1laxYAv40aDe60hZpzUwPnerOZ+qNM8h2l7nNoBL8UWEeuGDfTQ+4JArHlXQnn7WlhKLudNbYk+wnxBJu11qzp5hd3fNgCLQrnuItw219A3W5rv09TfhwQZSucd6fawCjbJcvvqJiKA6g8+JkqF3U3vqE+ElSthvgBNBxuQlcacjvKMRNF4CvN+B2EKcxV+ATXbF4jULH3fpk0Odbbuq058J2zzTHINe37bEihG849dcRx/4i80cZKVMS4jHhblaNsPiFKB7sc0PYiA0CSaZdLIto/heCi9jAtIM6EXRo5NiOiudD0fRAuIHR8Tnj4J5TjJ4M33+eSZdPP7WLOVxCfu5rHzUVXbqpp2aC2eajSe9GEEH8nZWAniCbv3UWcxMRXNntU94i2rI8fCzTJ3uXItkQ0ae4dBeQBvdpUgtOqSPM/qdv7FR1h/IMzMwDLaYe+aawS7wETxz4SQRcBg/eHLNd9IBrhma3tF24K6eOWUe6BnOHPtWiPpZhWjhAnixu3MhZ+FzeNicHLkpevnKvZ9UyH1t1w9TX1vQOAEd86ncOKltfCuotJgjP1Xfgl5P4flxx7u4MOcIFLC5icwcaelUbu0wHu+Sz22RMOWRId0c7bYDLrTJ/jc3dQDt+Cw6PkPuuTIzXzEvNgkv7mcmh7M5v2FYG/0AawL7+7YBTBzlSA4NTx9HBz3KwPRgTnETTm0hZsJH5gHHO6fO/JX2cwY4/8LlNzlMU/W8AQ+MPwuKrbPQwC7spKT6S8Cf60HGRV8DN9N5o1ta+3ilEenSUX5DLjFzVS/E+bOyFfAn0CIRuKht41U4BVk/nWp4v/991iQ0Xk72xQaO/DzzKYS8xpsAvxmfQOA358L+WIyfA2gcooLpxz8mY3HOemOVKwMe8CPgL6xucq/C+fPk2LTIdzNzD1fiFHZi/fre7goaLBDPmAMfaZj3Ja3FPTnMA23umLuz2iZcURmUDN6X0DwbFuCJdla7WrOotwsXaKijC+p4X4Cbdq1VWvLkwaPdJ+ifnWC/9VG+6HXWhPizYeQA2qtrQh0pRx7K8eNajeYmhyPIc5YcVU7YVtNcwbqhPWhv+H7wb8UsKuM7qI2HF+mIqWUYNo4EvAVO+gV78TXLdBCjjOrQzFdqWdPXi+x5lwwooZE+0lBlWZSsgHvPoie7s+mhdwHbB+Pv6dmk56zxD2sdyZPUKlHRrgc+gBpKENatAxoD8tDyqlnKqUVywxcAax8y2x7T4eCy9cNN8gn0n7JLq9iwXGZCoJ1cIZ9FwbUJCa6G7ViOrTS1+NjXgO31vRl0eHrCe+HxUgA3Kix8r0f+6wPe9N4gojZMmQRhpr3m82aLAHQ+J2Vq2RfqLHfcz201pjZdpV2NgN2g9eof/k6+AJfvsP4BA1VbDT3kXXwAXvDAEQJBJmfYn79zbrHlhedwLqre9iQDPHK2PY2SK4l2PBniG3CfA3C6b+Z4US28xfRYUk0kDy8biabCeDvVjt40NM4TWJG643tYqw0VxKPB4cr1b/3hDfh2RMPbI1u5JXKMKuMsa08b4Og/9cHS2gLfVxBDbVJztWv+1ansizEF3PxwjvZ0rpytxsAHM4tcFd1lJ3fnyQhHyv64q8F+7cNNEqUe8GGWUM1INpsaWBNf4wlYMPM/QPd5oFkI6GX5ziw7T/xdXAXbwczTSdmHdc4hw0Ec4Fw5JFI4zWXAqDIesndl8qj9i5WEMsxKtItLy/hRkcD05BTWn7vkO+Ai3C5s/DgDdyx5vOdhYaUaeZnWgoT2rv6ZZ0/M7HqP97dFmnkgOc6zjrlHi3wbrPh//ss3wK+3NJ++zOzQpMekErBmCM8QCRv481c1qH3doezMdFL0xaIgzlRXP7H7n++jmbnRxRvAdEsIfoFneJcu4I8t/TqQxkPs1Se1cMhRYiSD7HZniNFBAC+q+U8P/a0JPtbS5R4HaibGaSW+vJYrcD9r9jmP35ocTxBreZrziwrbqKa9VeYoPfu799pRrzOh173DZxNc3DJASWIlaymmJcvxCQ864WMcNfzDYaY/Q5tZhrWd5rFfRS3kRHUB/nTMbBQLYZva0iMDTZrlO4hio/22V25pkQXA68LldX7YNsAZpfFAc4yPT3FnbGENUqcGye86hLi3DqvczzscgMbN5kfG+RcR+FQGdiSAQ9IBl6nTRpnT7oyG570OsOgNPmBqeIX7OzfVIdaWZrayzBxR5sTvIpsB/eZ304ucia2NeWyRPXDKaBemtvHC1JoMM6PM3DlpRCP+burfpemT0X9X0ClUOlvIuwo4LeTjYHl5PEms4e/T2DmuHxvJ8RNydg46cgOYT7CzhTU3822XO6dyn3U7BlzMywYklYBnNp4uPUElw1Mp2qtE/B00PFWAP9RVpo7yIWjyqu9NWADa0UXvkPmzZFU5cKercoBraLUBfVs0DLvALyYFWov3SwSYRlP+1067v5u0b3dq2KzkebOAH3jJ/vak++16cqy1tj/gv8nC1CK86swhb5ue0p3hIudI2zi7LXhlV+PHldig8UYMuVoa/ndRTBGekyRdC+N9wpouWTO0g7XDPWD4Q3TEK62tQwFXStfMxJIQn/1LL1u4+5kvIGlHHEJBl/uyh7ztN/6HC3n42oy9V+rCo59AnYKFcxsnsK9j0A7ImHgKanzeZtDL8F5tdCWIHMjAZ+A6guUxLyl/1Zh5Fd9x4LKgsec8QfWTj+pOzZmQuME7JJLoOAHuSNR+duD923iMbTLGoRATNv3zVRTvgGsvtOd31RdeFV4W3rVD2bWsDOavpN/++jwSG2JAKw2xumdUn+uB9JD3c4GMXpV92aEuyfW5zPmJielQWg8zY64n0dSLSN7g95+J095OEBnAwyS8j2ttah5XMnE7hef9PfvyqLVMWW7OVv/58JLgz4PY7bt6ziUJ4iEJSCjyNmPWzMUIsRVYG8B/wBPIn1RfTC8y6JWSP7emc+F+XHWcGb9pZvz8zNz13/kbj5Lr9yy62FSkq+zwLVkDK6Wmfk2B/gIsR5oolzyLFSeMgaa19Z306FEAVgFv742Or3xM8DgVJ/eyNj66UB2fKz49TZ9nvfLXPSy8uhbwY4qqYQ4zU9PtbAXoS1DrP/UVkAeQ8cd+mBgvR3IynAFwdaDRxwPwy1bRxEzPCHYetrkToU7xOAspmoinVGx70fPXGSyBWLcAr+yC7vZprw5SLKgCzs6CqSfrbsBB+wXr/HZ8zrbqPuBnJXfW7Z5Znzhn2h6OtgyJNbmQkyxufXi4l+RoyRtl6q0S8Rfsg1e/g5NZs6kTEPR5u8JefVMIHYEPyWrkRdPB9wu5LYynWNR2JEC7/3xw99KJvXMAWiZoIz5MbyqfjjzQIfDiFPR8C/prrtnDznr9OqsELmk8APidG7+bFXgz+2OT3HgG4GvD7KDqYX2GJa/y3SJyxYT5HBt4A3A81asv7PermQ3CnttDFli24Dvg8O1JRPxRij8rF+p1tvwzfw32qgca8IuOcVBpvTY5ugFvhZwoD8lA7gXTl5MDSAc6EzTPBPrPrtBuSHzmYaOLhHel1tQmAw8TChjuBE8VLJ2Jv/p/PgibxJF3+tyeJQJ9reN3FcypGuWzEi1K9c7KgtRK+vj248/Hp7mO4umnf3m/fS87goEV9yTYGl+zkdGWGm97wJoDcNW3k/33x9fplaOSTvXGc7gcWpn58QBYXpwc7DEzW1u0RdFPkgdeYLzKGTCsxOFl1bF7Fsye8Y9NbLzhGjQExCB+zil11IP5ejrZSqTAizP625OVMBEP2PTe2MSvHWwnEejRtf2G+A9AA32Wa2v6v7+zccLKsjYne/dGg+ShIvwJnLMQEXGJ1d8zU8uTE9DK2y+5Auti7bMGdEnG153UfCOgjZto92Z620pufk9uqYtWJewb6DXQfFgCH5yyoI2ZhWwKeGH0wNEGvGP2vfrxJ9OvOpkycTAhkOPLYAkFaKj6f303ATfzfk0fRnjbAP9KFMRMvd+eKxS3OMfXdI1vmSXvtZ+YWm5K2RxlfXzgI9LnSLVEwP7t1VVZ8M6dmWaCnIgGLj/EUZJz00P30no28IGvhB7ufMAjQ8UGMM8qdHvCvPUTG4mzmXs7qJJG9ZWMKimGflWjeX7Caj4xuqrjmbFHJW4rR/wohPVgnd7XPeTz0P6u3PaVe5lyZsB0fGAugXzYPmq32NQRBqbTrrSTbxBnSWaxDejIKeVxWHLT8autDJKepG1yzv/eG73r5MBd0EgBYS1SbLOB7/CmRJsAN3hh5WfhTGVpeQ5olFGGS5Yw6WU9Nv1DGDDW9NhwMQA2O2xNB8Lhc8Zs1Z/J0NqELSlhxj82PvGoRcYnx3grCSRHZqUPpbHpG/jN84RPX1kgj2VQXIktTwLWrwr4g/e2lCEw5nW3UKdfil7eCn3ZqJxbeMUnusYB5MgCsM2cpUzYlsDR50PJkQeasKwAGc/o77P63P7OMs18eTKe2GfW7qgf+2qFmM/bCwfZQVwUGI/kxicp4N+xRsW9ZoimKw9NP6Vcd7TOp0lZXiFoHEvnAHudTGWg+8o/uNx4vPNXz/7NKh35DVrIpbns+M8MTxnjbPvju3l0ODe+V2d02Ryd9oiD+ip4q2vKexUV9tGc3wyAde7OBx04MLqLSsMHNDF9u1EVTD7wns3r/uv43E6CScjx+Fk6eMY5/+TB7anGxC3owastTGEfmHlbN+4qzv3Y/uclx4Mm5KjpiaMinqthskydW8K8IVmNx6qdi3wXHq3lpb/G2t5hWJ+icpY1cewb7JNHwjmvgxRyjXwCz3zUwP9Zv8xZuDVeeKnxriiD9lyN04K7YCPh78lB0ZPLnrBL7YrpMutirMb6rn59VOdr8dx+U7sdFGtT4A+O4KYX4+ClI2HNMNPS3cmG45HuZ1aDvqw6ZSrp73X+9wHre68pcMiO5/Bzwsy93DFSO27JC7M+Nji/XE/29MpRZqYfcMF0I/uLDXrtXvTzoxb8BmsGWqN9lwxtsrE1M15j4tweyTCvDVWnH/wKrTvE0IHtZ+CMrfy5S9AqwWHsCF++n/eza+7TX5iSBb3heL3y1dRwbbx/rZ8z2Hw6EwTYFj421bA98ODxBE0tCz4V8N8swnlizlTLkCdZQKxEgNYNeX60+/vJxcPJ1Sfg5Dcze/9V23MO+xW4rcU4eSQB2/AA62Zoj6XjJanbvslh+UpHeQIeuOHuTmR5sCbwZouxuCdODLxf3gRoWjUU93PotcQ/XAklQWIRosQW8vir3ub2BG1BjXtT5as7o4hVuljPITa+2jpd6/Xsx5vaiQ/p55wCX/vEzz8eHTbwOekKMfnji5t1f53CqM7Qe8PssJSQ95SGfOyS2zl83fnOBY/0jUW7HnK0TXMkauAAoCll7cYjjXYzpfKSiDaF7++e/Xaqemzm/V5Vb7+ZHjPj12v4lZn5D3vhocQNcm9qwWd/nmkNsfc7zzwzs1+Ij0AF2b6ykZmlPwkeH0ROdoLxPYnqRyrquwynczZe7sCtD8DZWmz89vzigfs/K7V3D8o2CxETK1i7yjEw7+8uoto5B8nrTurMOnUT++1b6YJu9muvodz4enPuHNxmbPfqc/Zw1JLSb0GP8bLpNGch/gIdyCt4/sTCew5xxNePu+HogNvvwP88tX6ADvQGWIMXfl1Ax52xicWVAxcLNpQb7a6elb1LgRfyJO9dGf55smHOsoitNJp84EtDPdiCjq2ThMgpA+t5RugNm3kNOXrWnTrhiOOSovYsilddysrX/g7cDvhYHGHjN+v+XYGrzIlI70nHV8gB8OQzKkPUlu70LkLsNlF8BT4Bun3CxIfv42tm5pSCNtkwQJrE12dqzoPdyam735r2BDjqlwgSp+yKtXLTB/00nih/Pezwt9oh36ILHjJoGVvxuQnsJB3iAwk0VxY50t7OgfMDv9/GEHPPxFa4iiRvIpUZszJA32fR69esYFKYedWM/zcTGLnEeJfa/ALcFFe9Hoqcf6X5VEo3cYm7m8lofPj4mdq6UAzbdQjY2O3MPDCShKRPKYl5qLsyMvXbBDiA/OXYJJyEtBQCbIvUEP/04pbD7CYdcQtLrokA7Yli0/MpJTsAnyaBmblX99Kv9bShaLIAK6wiJ1IOxVLk8SQd9MjE1q8cU4O5e91JLfB33xogr8KPv6WwY+ApoHs56B8OOll7NFxWLKY37uI7FvJSM+OTqsc61M+CpS6D6GKfc1QGHNWibZuA5BJ0aqoxAt5/rk3l0r/P6rNQDmZdz6y3T9bcFpbZE8D/x+LB4P0KkdqwFx2mY5evOMhcHDZIu7SfTPdqW2bbFmLUnK/4gI0ZaHaKEWjo3no0PQ8Jf/WAm1osdU1tzsmwLZnQd8G2j9TBJ7LWTmUjzBlmqXNbsU/GijPQQTE+2nrIhm16srTObNjb4RJndgp5LnVVFwOfUA7VH2upW4d28WuWzmBqXM55D5gCedkBvdPFj4T1T9UvAvR9nz3nd+ByDHQZqkPZU2AguG/HdD2A7t3uKdLP2pKb0/PmCuHllKogCdTEzN1mvoNITP53Ry8WWTJ0ER12AM8/sbN4ID6eifHl9T+eyfOPW3S7W4J2kq+al9aEQIcOR7ctJCI0oaQQrLUZW4YaQQ6z208a9c9SBCsO7aEZ0ctn5IGZBt2pRuUgdM5jK7V7rwymczkEq5kZBTruTIelS0bOarpzuX1ZZE56ZTQWW7p6sDaN/3dN1w+3CVHRiJ/5t2bGT15G5LOg8et8o1dmZvMwzxViHkcfC+hGu871u9Bkn1lTRnt+TmlgfB/8s78zvmKPoo955f991g43swM80MVvKoS9EWHEcrJnZnaY8QoXD7cEXHt9r2SV74A8XWrv1mxEG8W8tOlIBmt/hH/fZQEmajxYR7v9Bo22L6w5ZKuZ5DCnKcQScL446/mxcIu1ZAtoUH4pXXwtrYvhI8fqf32InoQYP/tSHK3pRnnbA01PyMiHM919FcbPId8ZDzsXcOQM0X5kn9teWlhnGu3gz/vUmlHS248qT2zIgyn38Zf83MbVAFxdt6JC0+vMYaicwzUBDSvCwmaholTgSzHcHpDjd5DLz1X+8SAOT9JckeynRkk9M1c7PJ/6RkzLyZndTGOH5PpRmLm34eGRPmfgLORyclOLQn7777O6/872/R/MCPlwAh1a9eS7MX3N+WVpAmkmLU9ZqE/K0kHB1I1ZnDSDt69GhVikdgkFpSZkWrr6CRzhSl1U1n7rgFRaj9avNu+bPF3FqCzsIDvr2us5BF0KelzkGvgSuWYoWBpEviE24P+TM6GFUw/biA4T4yJ5JtrUwk8RNjPenZ/ZBMYzZTn7/ZrmwB199fJftjK2hAnjd+CArohkl/B4X/RbLoPlfvZBaYp0KQePcTNP3Y5BP0wxz8nAYK8WvdpXZq6okE6G/pq+rhOzzXzJ6Qg6t80YSQCP3n/5vGW32N+tVaDmjGF+Mo4hoV0om0CGMPPa0L5i5ElFPFUO8EHmmXs4uwr5wZybJY60C2v7JpitM6fF2Pj88B3CtAcmM5teodc59pMM6nzmuyFxkmvioHMh0DfoZdRwtjYdztPn7a406umgOeix4cxjgtnimqnJZ6pnMy86/Ver6laAQ0Ikm7NPMOS8FTjCWFrxa2/8m+0hUNAwyMlW8kgtMoGa29A8/kqpNr5DM7zzSI6X1XDgksvW3HJULtsU1iQSd3ercqNbWkzXXc86fhNM+Wlu7jIlbvTvWcoG4vCtNj0Iw+bJR20bX/pUzLzoPYda8wA6PwOu/pUE3kXBT+aaPUpfYXhnD4l0zoflcja+v6K4K6osMSJxem4/k95budO7WLxqiedHwbFV635Jgu3V9Lc3wPNgrXi5/r1z0AqVboG4E8506kHeCkE/PBuxRMSSE8sPT7XWdu1scQV7LBvaKXFayVms05FfzZ1+g37r2V71JIFy2zYbY0fxwmP0Y22Q0oTKs0I70+9wpqGcEleN1ZrcWcDdbJj32ZACxmFMTX09j7+aHPKh6TkR8OcQ4VrYrIrQ6270Dn/3whwz0w5yE+R2vHIOuo+AgvQAxU8nu4VdwgvcyYn38w14UaBouzKkjgUrbNCHZq6xAP1rNASsqbc504MtginBAllNV7ze1wLaZ3ey5T0Rps8GhZnpHQb2Urg4kPlkJwKdzHlsGbao6ifciNoG1Sqy4PKUvdFS/Etl8x447YV05nxJpcnn1sxWCc5MP7mwX3xjkQxy3Qj7YQC+bSUL6EjxU1Oud7weMAes3BB4asqwS0RbsB5W1pErxM4b/MyTuTM/OXErRjkcV1mQbHuRfDelFj7DPmyPdvHbR8+t+I1p0I8OYurz5nCxPbIg1qVLviVVRW1zxARxErtFRLO1zra9GKcuobIEJHqegxr2G/FLh8dl6H2nbL6drI+lGjZrido4derXuY05h3fhncS0xzeje89i0s3Iy8LMLfI5P1ra9EvFxiMoQ6pLGBrOkdoUa+AA/+4lV/ocbiUNLase5YGO8bUBfAc9q01uML25r96K7HnbgB57ZKHxhq1hbyDgFvI9sZmTubFd+bvLydp2leZjGeJHATuVaHhf4RZVLDZ9P1eIY+BDtjTnCITygAcxSlx9Z71ExShfc7GewFkdUxcI7+k7s6y1WNEb/OqxuHiJ5a0Qx7Be/aMcpJUa/BTI9F6cSsRRIm7WOZdvwN9vwPnuPEgXyE2awn5qIrQHbAvOSL3WcCK9nnlgI6MDCJ/KdMCh4tMxi+QtW2P3ZFmbtI9l6WOaCeYpf/eWMm9h6+4omHUtx92QavTM2HZTh7YWxo8dcIfl/VWEf5yjK79etfoZ4EXB4rOCHAy6zrjde7DeX4AzfUE1g7yjpZ4G5as86beHskMnam1WeKZrFqQbiMfuuCYeCeZHNmjI39wRCL+DNi5AL11Z8Nv/tUt74pYoxj89PaBVKsdDwLcCwLo78Mv15CQeYBHjqHeoM91P7uUKOvhejW1c2iRlSFJKzd1si5o+NrM5ROG2q8p3j2LoTb5lL61H/cCrBmR86DrM5L2JWouuhBm3u2awD1WkWWL8eWB/K46/qzWFtfG+q0AWsI8W4Kybs+APbrzaqJpBV5fZuDvhoV+lrXeMxa8e8Cxl8ZHnsF9WZh1XfoLnDGhgO6X4N1NG0L9r4mLj9RhiMxl9ZFaGIAdD7lXwnZuIzKD/fBrOdhK1dhXE18JZZiYmH3gYMJHpdW5DSdfGnMsLsPS5YToHRmTjcBqpnZg5WqXxsjT3+gXbnonWGxx6ObFICjxhomwpRY7ycj9bZyHnzILUy9pLEtoTWQub2rgk6Jf3DnJUvIxArQp9JEP7WY0A36sC1o2fNZVTJez25V9ETU+fi01v4JtycNxQ/pnllxXWncBng9azzVyet8xVO9AHCLQi6FXyqj3IGnEDbcg3tZZvxx99jI2u0ixkdznyTgokcNQyGeCkEnqQvn4/OgiXLGbS2Q6glZ8Nkyms6zfx/zpkRXZimXOluITMALTj9jrfeBDr4Ul2cZsReJELXALwiuS1e1rbRzVMpsaiE/zH/9z6119k7tI+IPsCQvPpkuatmbFh7gFGGUFOCmbTUzWKKBZNr964jV4aNmTBdKWinbmzAEbrGeegTYR9Sl3+Wa6c1MwMZo2B88VRIrxTJvg9tdEe+LhIu1gCvlhNxA8k/HhWoEsAx6xC9yvN9RfkGg385FXfyxvIjU2vS4ouCxvbhYoZMG9qlY2fuOtdmcdr5rI7vKuvDLhOseIuAWz4qT3+d6fyxe24rQQqsx7eudOuRT9T07OhRuZWVL38fJ/NSO74CVo/J5+JJtcS3n8TWk8a2i6oEVy5+N3McwD8HisnsBLNMewt2ICwqwIObOb3vIKQQR6xNue1nMI6vjcCcMNHv3dt8IwuDcmUaL2vnT/PBDARnk8Af0mUQ/75PI68hzz/UFTGEEu0ZLZI6G5NfPmEPBEx1D/ZCnndIj3o9H3TS487sJtYmwKvf/Go73PEM+ALn1kH+3eY12RVn9l+/qIU1m1Fn9Ruexmyaz0Cdo3oeg5wwB1NmKWN95ipPQ2LPC4ykXqFY38lIfqqjYd6YPzYSVL0y0t/3bmVrMDLvISrFot5bUQrG9qGBUUzHf8+gec94Fne8Qq5Yt2loIlSYuZiMm/kP5ygzVOND8BkN4lGshTwN/R0TsfiLsWfFe+3r1qsWbKPtaKJBXDhVxo9jA/T0QIeIDbGQ/fttBYbOhQWcLpn2QdrNUoXuLeEfTaaSYzEzAXu6ju1Hutp5f7Rib8xxaCp2kx2zGL0t5bYox0W1GKPJkiMnt1JixzKMM4LWy9KqCkTOEw7vpo5VjKYdRnhC+yBk3LiTPXLSYXkRBHwOVD7kMOONNjmgiozX0ScAHso/Z31gRWPPcUhhyPlN4N+B5ZknRnwTgqEVcyoZKrkwXSk7l/n5b0EemkBfRRkPexTBBwj3/FKeC0eJprlbVKu5Ak5kmampkbIV23PWrmkL+waOAPoDaYp63UG4ftWm7M038yDmMwdzVeCUFesiZW5eBY++jz7gFdsNn7pTxH83EEXjMq3wiI7ALW+GOKO6eDO2fZ1x5GBJp2oK2/wnuNKgM534kMTTSEdbncGOAX7KgUNeQLdWRyBk0AOZ9KVd5LHuGFed7LaiQ2HO6d6hc+4qJX0tYtT4EFpkU+foH9etcQW8wniPnvKASd47V3+nFmTzYWpS8WOnZ7W+BtyI6vHg3s2Phm96SlDg5l1rsSUF5/buXzeHk0kCdaxVf3UTUzfZn5R4ph+C/I6F+1U3lvAByPgsG8G2xvE14a3eTVwmT3/wP/7a3ohgc9jiw2ISGuLYJH3Ek1HouUZnn2pcj5LX5V44EKGB7e2gnsz4lnR2AGseOX5FrvYYSi4nkWcUxrLRNfPxFefHLVCRHipmb7XplbMUWHa27tMLLg2dRmCDHREBxnclqqDDLC2uKTwXTpTy0Z84wNLfPIGOeF1jh3g/c0i/GDcI7Wk5Pv4/OPKrt+A4HSEmM9yhFydo2vRtS7wagvzDytx/3pHZ/PjYZbYf50zU7fj+uOv96D6YwE+lkKennm3a5v+dfY1fxXDdkitOOfmHi6P3ZqpPs0Lt7T+XHk0ad6xO3BwAT/rQZ3CYlFybTpAQUQ+mR3vypDPAnBaWtazsooHMWWzztLWoB8UkhDTv15IQT3yg6L60nR8X1rbQzXYHHCkoFRhte7+ecUxyMkr9gpOvKKPn+aclFptUPXYLZzCrVjhwJofVTTNps89tfgx7c2ZrN5jhrLXPkwFzprczCzjsu7bmxjmKLHJTEET0a42Hr0DXncE+IwtkAy54SI5joD3Qa41M9uJrCJcyFwWqmMrqHLgpf0TOONQWfKrGZJX3nhmlr0QcViwWFhq80RG8pOE07NytjuqyaWJcJKF5oyvhfcn30GH3ZiZHhL+nAl9NV3wLGm7k9FfU4sf0uc2gfgLjs6WpPZ0I5BvX/qrdFLrHOGr8QMAnnvF7mUF7mlRAby739zh/z/Pvi7JsHExvLNk1We2gk4XmACfsFQOPIPvxvrnDC+x6LB8V10s5Io3wKONt9jrDPbzzOJ9On48zojspA0cmyNOeBylFgI9Yc5cZVzodha6Br6XrjRsN/I5OyI6rCw6AIFEsxjs1tzNQr7zzxAT2YiBa8lBaW1BDLxqpJ2iSzxufJshFmm/HcogvqQdSUBf34uxNrVx6TlElvzcytoHrAPeXdoTAi36c3bJKEnxMG9gvYss/LgXuewUayMSqDcZAV8I7Nc+dI9uvGTOH7cctmaOuc2Bu53cwj5axMwh9IxeyKz5XHbpnfEd5HbbqQJvT/vEo7la5DC3tX+4AgfFCWhmyia3EiRiroL3y+9E4MtLE5XhDZjs7JOAfNWg1zJmv5uzIOAaLO3QhfcLxM8fwIFYN+ZONOjt9Dn3oCMudc4z0tsIdJ9HHG9uBOjpqIVvD5zdxhuhsV3+z/dWsrG+E8ZLwjUHXbERg+dRoYwv217S+lFYsZ2wyUkdldXM0zXwIqV5W/agfZ7b49knPnP4Js1jIYZJcktdMIc45+0I3OxE8t2v/zJH8TmJTG9gAjrDuAWpJ7brh3JuTzLGAzbzu/v5DusWgoadcI6+OWgY4BWnisooYcWa5Wih7u6cgY6nEfB1ugtgnUqiEwv43et8Ywd4FFIXs3rQFxoensB3d3W49csgWZmW98yZN6UITP1IDxxQcMtgaXyse+PFoN5Zv3QlB4UUpqDjcJr5pvsftIUNutdpP1m3c37fF5qm2sxsCbwoCTGqB+6XQqXYhTxHQZ/a7EG7g1tY+qh6D7hNsUIsfir/sJGAKYLvNiKcr4IDP2XzPQM6JxmJyy4+4zA2NSCn37yxqvfaiU9JpEbjXVJFEsmRHLldLIW7gxwkOWCXKFbkcWuOa0u7J6d/ZEwL469rPL1gD0fpoEoxkKHp5JB1waayQehzfsp0/N9n3ew0x7ck4lcKeGfm4Jc2X6sctWWIaB3Avgzkkzo8IQhicNAMdAZtNOaZBVrN1WbeAK8s28pW/A3aViuB3srezmuuD/CdPDNH5tUXIHrPrIfbRNqn9s74G01Z8GetstuVhPKRIPWNnfacDKhTa3oXkI3OSJ7N95Z6siq6++Qrlub3GNYk4yhV++1TdmgHGlqX6Hem7rtA6gycUxu/XB5uOXCbqAkX0CHYASx5YDu949HUUNuB6shYM/SVmrMtuzf3wMAHY0tm26WO/oL2RSm8zye8+5T7f221FlfWqZdXS68ov9T9YktdP2qnhXeMI7LiUCH0mTrTJ+APaFdz9y6B0/AlERARTuFJx7YTcx486rYKyZekfAZEuWUBcM3I6CZyP7n9Ne29l/5aa8A7Ze8cNRYbyL+mPnXPTH0dYCKwggvt1FkOCNhGG9c62AB3feM6cFXXQuzwEIMOL/lukIJZR6eAnz99Q5w90zV9nLPtXHS7153vAM8la1dGqTuBrptQ6XjH0gd97jyegnH3THew9/snxGbcDB4mfW83odbcwaXpiWoCuTceD5nTEhoCZ6Pqq2HteHL0G7eIh4Eb/PdZp7MZlOuTjZkbc0b8Vud4X3TBIzO1HhRtqpG8GX3QiDgg7hSSPPAS4LtVgKyTZTpnsJbZbXOmPIGoucJz346W9y7D2mGr3JTDx8uH7gH5vK167lBntlmOL8wC7R61Me5tYlxSWEBCNhhPKhQVgj2EWHoSBBsGWGGeRQqPQY4MspB/gWaKK8a5OY+BfXMSPc6k87rjmBkb5Zr0S0TCGfJvLOA9mz7R4sz4s7a2bxztOhHiJBHb68kB/icsB6MdaHyvxCFbi1UZXg3RTmxl6/JsPOqEhGf3iHJ4CjH/OjP/NvMwDL/AIeR0nm6y7I9n5uIwpgvlyD5xjJ8OuYle2sXgzeLfDKywCeeWO8uR66ngnamdQi7spzFz0VIF/F5FZMYOoeX6O3MmONO/3smevkTP78DOJuDKWkSSFRaPAKthf5GpYNJvfFLWWm2OlvoqP7eHI3CTc34x3g434KuAfx9m1tQ9g32ZWeqIBS+rYH4I9uu/rJlQl4ZtRcNMH9TfxzmXn2w9eKr/uFehPmNh7lD4qQn7JXN3l8zMKuGya/ptAVpFwr47q+cWm94n0S/nmnM3cVQOyvwzY9t3NXz81m8Q3d4k6691/rEqUwO8YgC9gyV8BWzlr3W0dzHkKtSg9A5Yt8+EZR3XYCM7iGN7coAHW6C1qNTxWlN1aPjOOTkfdzYSwMHLJulePo83l3ISnTnz6vAAezneNz78nEGHhC37Yvhj/N+vpfthlTmximzrsHwqSCeDiuP3OuKfdG3tCvSxihDwlqltBMrrcbczdy4F6BTg4a9YpkXeYsb4Nw6ID1xsVn1MmGgHFqaw9smVjhM+c7k5R5cN8yFnRlOaDXJ3DrfAmaeA/PCL9CG71K19bBU2MjXVD9C3CGjFkvDf2Ue3wg2ck71bKscueY4uhJHiDHued+hRCxvWJ1ho12Izc5nb/AlcwPSPOaAJIYeinvvxO+yFi+KJk/FdTzp0SHhLUtfM9J0CturXuajPe7k5WTbIdZQDbgLv1EUSyl0VehdY96upt4SfERUgyZUzD2WoWRJOcdbF9zq8PbD4c1eRvCYuScpcnUAz5FkP2GHr2zmU16NdvDj2ZHxa5GB8L7gLWmXJwu0i+eWaOcA1kJ5T4HuYaiodzqnxpe63jLA5hmd/AvcXCUo3kJtc2Is2DqTkY7sjwyyaCKFsbZ/ncPP6LF6wGPgMkorZKNHSSp0HZDnpQE5icmCwTm0hfNkzFw0k3N6xr2lmxQx4Kqb870b48WDuAJKROaUunHNUAw+Xj5MtTydneieQJ19nldTqLchP5qDWAd21qHBLK6PP4buaGmds8bWksWtmCBQi/uTj4SE6wPBeJjWf3LKPWcVkyUNyzPqtxEI9UmGHJYo3BQ0eoKV+51VW4fJZhvP9LLbvwC2AB29jkLh5yhFg28cCvOCrtABnTGdyuP2iFh6or0aIu0RA7i3MnO5OXc77mWUa0xqYKR70nAyXtXDaRPn/88tOBp41bKHZelhYWNu1LcNm3LnGS6fmUtbPrZYaT3UYXwoOsWrmEfcoK61lJ93Y1IVdZT9dQUkHpfH+DlLv5AA/DbY2+9zu8frbF9ATBzjL57zPTE3Dikvg/d+qU6Czag/y+b/Z2p/bOAHMpRCzJPq7lDk/lAEv8VpsgE8+MCUrPON3I+ZLFmjIrW3CtT4ovQNtaL9iGTQp7wDPP6sQnk9P3dFCMXAnPzMzHnLAlQ60Qqcfyg6ewESyo1ubWdwXHoF2XvlwWtNN0dX3M/Pu1CJj4k5fNUd7GfVW5qq0ttSLRy2NaJcScE3l2iYDSVWPaDXyofHRTUXFRoImO7nthnZ/17Jrgb+0zMwJNXNW1XC51r62so7sk6E9wl7vVCAvhTNFyTABpv99Fg56fdYIeLapGdnDOniV3b7V+/kigsIuB/kNWPjETgy87fKsxsBRbMlwiE+81zH9uYdWCxvj6WjHZvbQQVroAb92vDdeJPBvA/kN/O7lheSwcfqS+mOtV3zCop2YCNZ6eNzNvQVorx8fQODqIzG1PJE5X5LmtpPWA6x58LFJOLCeAOuq93TRLyvsH+NFGh6tOYR9HSYhe9URPZOAH7KQeOloZrns5ooRgi11UB1+Jsw29X1v2CUuzrZ20wcWzrVDRjP3ekrNveJx3Zl5JjhzeJEO81gLPshx9xToYz06JGg+//zO7WF+4ibrT8/DdHLh+4Hewe4OcgLfKKFO0pInCXEl98YjtzUe1KhG/+afSq0xqOMrDj4sxtpMMhSU48GSK4nTfMeqQB4hF8WvO3oW7VBp7pbZYlGxvSXAk7itIO6BikVmdphtPHW1+Oc5Ymr9S+4GT2LmM/b2sbS2D3h/97qrTZ1ixIZtWYeoPznLGT9nEIrza8/fcDb3ZxFfmCAr6ETYV7xjAbBkxgVGCPNut8GAFFUXJ8DNfnyYRLA9GG13ch5XpdsnRcgR5nw24hczf4PY8VWiKS998k07+apnA62FDmzQExf8UbqoxXlvYyGTo0ti5Svc8NiBfcZ4ALzdwg7wvjHx+bUGXQB7LEgcUpyc4AHP8nWytnkdtvkZdNnZ38E+Jiu8y9+7G87MbN9ioQ7pm/8j6tyWm+WRLnxLbEwqPnwJCIyNCEIb0BkgVzAIm9jExlz938r/OVNTUzVTyRsbJPV6ltTqHlQgoi6SVqJzZs73tk6z+j/pCTSinE4ZwhfJcAyfecnXFrQkKbNwSlSkmIj1SMUDPD2ZiLUQHJtoZ6eN9l/7Gznh2JYn8OEUR4KjFPzwmdoqY6Pl0NivC1jPfLAeLccFcNDSlP9WDO9NsQ7VEXlwu3MammxoNC0H2/QE+gK/UzlCDK6i8tv0+315c+lYdoqYQxydA7u8sRHjAhhXxCRMh24qKMS14WbyIXBB8+U43mxy9mPKscTODb7HFBBmC3HuPvLRSxpHFo3Wz4JNnzBm8LO/+tgbSTXgB6KmF0AWKHNvIW9H0Amni8iAFyK+bNB7IOGkqEqS4Hi6/vafHCWYGSDOs7b3EHmzEnctMvtQk+kn+SGjTgALcFr6r/pRd2LxnwyhDDja1Owj+Zr43NG4EclHKqQLjjITZ7zC6i9ACwoabu5cTAHE57Dm6K0qOXjR6V7rroDY+MmF95E76lJZ7UaWndxby2vva+VnmVWgXRXwpTjvID6Zns/To4jUCPFmyrnu6hF3eNgmhalTwoCPhC6As0zNXycTGwfYQrSRfau5usB67Iilu3w0eWag6vzVl/P2yHuecyY/uMb3lsF7EOD9bWDkmD0IMEB17mpWmo4wX8+juQPOUUADErQstXC02QCXfaiV4zTAfl3Kz0qE5ndoHUEMsbZJzl97DnOfcXw4xirKgeuYmHlxRiNzO/BSwEeRZe6sfjShpkyDWlC8gJ+SLddl6iQCvC2qTP3/EGnQ3yAF4iGBb+qeMdZj/2Ahnlv/6ylJNYxPqcqKgWt3pckl8tMYPGLUnVuu0nqolhq4OT/7kjpdQcbBKWBegtcPOHwvofWJP7d7Mbxb2AJWtqWQ52pty+mtCUKnQeTFACZvaINjVf/W7BRfD+5MfSZ26xH5fgbry9Rqru3O4yZfSNi1DL2RholsQwlreF6V3dFUo0OLYI6W2KktZPO++ygop02v9vX4d/cW4idYhtjUUJ5xG8M67v1rRuHZYb4qjiygtghiK7zHBGI+cBL4FKqHe0vbe+ts1iyUIfBwwk2vevFukbG674EyeXSzgTXCvHzdk7pdWZhc6jjZtD2JeVy5abQBbZ194Ptcsi9gJBKKePIzU7/f6UwPjjpdgaoHyeXw5VV9stu7/0xNqJKcEyeLEvg539QC/xQ2/mmDv17qoentoSzP1JlYM+QX2NEheHPTK/Ces+2h0PJQjTePxRe3MWdU67+njOSpXZMy/Xi/A2floIkxiyTwSLLjsaxVJPEx7KK983g0TvfysKCl8mAYvi7TVZ4TVEE8/K35zm6/tWPBx9nU2X6LyLpWo+lViMdqvFipSK+Yq28O2g2xxPR7z6jAn6ljesV02uTsCSQ34LNffXzuaQlxGyV2syK77nWhLAlzVZ5Tc7YX5bZkySc5va8MvAgV9nVvdYL3oelp/nZYu0RQ9Q3vYwMe+17b+tAMyS0td6Ye64aMXswt/uJeu9IdrFPl5IOuJUrBe4T3Oqi8vT15WaRhrJcTuC2WA+PT9cuDeHpKmbr/15PhSSPiFEHuUZFgbm25irsud/1JDXyfRSpPh7860qSweVHZPvDucgKuvQtNRMO236bfqyxmG3SDZUj9cIqeNfjb47it4Bk9ZvYY3X8bNUKsX1XdrkQ2wXDdO+b8lzNxztf6DB5tRa/amFllzTDp5XcT7BbwiDDTp5S6/Fs62mVhFxwZrjDtYA59uU2Qb5ilgYenvHL5T2G1a+PMGn73QsIpzKguZM/nNEwYY56pd1yo0Xvt2+zS51yx9bcu3YjXzpx3mVoH1d7lu9bqHrJsnyy0vOJjhrDe/XBnCStr6x3LYWXR5KbuxT5SGL+SmLP8/++hBzp4/NgCZ6FL7bzOpGDdIx+IEdxFr9zW7cCxoUJwfmYFMJYFxjecgiwwniXdqNBm9cpNDtMjFYmF+86TnFwL7efH/mthbiJgHrvHcElaGy8c9NT0cHud65n+zRQiJMRf4xtFe/7n5L1/a3rwygIVKloEtbofErBrCu8OfJ1sI63bcf5ULHkD/7ByZ0u5ybGj6jfPvBltLQWX1Xm34F6/vea8On/ZwEY1cUwNCGanDrCOg3vBug8MhH1EfF9H+Ea5GmnUDVRoh8XqzEp8bVGXgd6PxMb32t3Bevfl8fzPqix5EYj3kqkFWPyVz7a0JYn4cxYVJwcGblOWEF90tzP7RYRzAfE25hHuj2zWLJytWmgK3iMrztNVlN0bO6uPvEx+6Jp8V2yK2tD2itHzUmru7OBEsfk15yuIIdfjMFyLnnk1mz8pmhiwbwk61sO679vI3NPowPcnZT5uzT6DDXqCUqE6EXZvGPwURBKLfbzbWfHupSMOOCPwjP/g/88a3NfLm7+BN3u0gQKOTYTJ4ao0QXkJkZUmhiUgFpEVxmwwNQIk826iD8HnY1w7mwVYbW3jxJEQB44Uj8XptoCPzjMeOmJ4gMcaXOCL137Ump55TRgZVUQsMeDA9Pas192aOkD1q/YKq7tmZf6snVk24IVyS/MirDbMnP31CtW0Q8eAZxien0ddUUTdpQ63OelRJ0aeMJP5+N9+FBtIfAwvTy7UAtrbH4MkIqKjjNlTxfS+iNi16jmMaxcUzM74KpeiJKDdfgV6/CBidosxvQL4VcBqnuCVXQj9wdjW7JPsBPrr7zALrsy+9KF2vB13ZZVarSuZHTS6+6GUgBcMXXBzNIvs/VEDv7H3Rw18C+/1Kp3k3Jy7Q+OQSQX+Ph22AcTUR86nJ7M6WLdLnjt/ecvfOfMoEVu5dxNzB+GzWf+5Bfiu1FG6WqUmK55ygYdj6M0Qb82+9pQFzG7t9FGP+k0M+ePg4B9gpGIP7z3n8FngySvhkWpN+iPvXv1TnsWwmN7ml1r8nlcewAP9tKfZgvlpCY53xJme1PR4GfUHiRCwSXdliKf5kF9pMZfHkAeNjVndm/1H7IJ+XUmoKxpKoznOYW3/6gNAbLmm0c7NyuoONHVvz6SqwwT+rtlLUJL2EGdcU/8O+K9XSS4mV+rcU2K6Z/xrI8Ldpun9pRraBzsP92LYmNr6USU2j9TGyJwZ//dZFnDXDXziwqzlAfP+JwtNJeRZA1fY4AntlkoG42S4yTf3WaXdmb6/dQUrGvh14ta8YcNygnnJhO6M13wKNp1bBCPHSFDY1SvPwQFGfYL+XaSYTnUxR+3ANsRJ9tzKXbLqj5ZPZdHvNsUZT6C5PemJ2wzzgFkXZmESZma/ovwC/UYZ6AJwkP45DvbMw8tKRgIc+L+6WAWbPyAGvrUAQu0A7yD4t6kpAWuOF2ozqwLNqCg3/ESK0XiixYXPAB/SLu3Kc6Y7WCcYZ+HWl9buCVobsAHYCiIygziuNHvlY//m4ghhX2BewLragutsNyKCWRbulizaDvDcfoHUh+jRj4iUC2P+fQTdPKzwPoqbx9fK+OeODhsPmzr0H+8bKvI7hu+peo1woF/3sq3mHHp8hHnr5tdWTIuyNVA50PJZfabWVKaj7o4x/4Z1y+Adu9LcC2FLYPrckQAlGcQM6kwuPpM7Pb177fP9Wrswz6yvOxbeWxv8c//m4en9mrGugmdOMiEflGrJRvSdOvChCJ8bazLrhPFo/gZ9zCmbHRZtVybUbOrRq6FL4VkcZs5NTV3Z0XZg3OzG2TxUOe3kmr683uYocMAsGaQ8fGBHnoowscHLhfCWWa75Dnz2DnQpN3NNxSo+om5l4/uzGjbPrBzM/aCIh14GvDYXFgZ2knHuSK5EMh1W/las6WuPaCHx5B6AP4vI/gBv09UUnRVKamUnF2IBZ4wayxj+rbWNMeiD1NPbkd3cuuRvFUVli/ib6L9caXXfe2vbibM5X92BD0xGmHMZeP8Xb6DjiL8L5x1imBTkrPJC2LOMdJJbW7se1aSsJK0DPbc8eYpefZMgdDOqDsrFOGfdDjTJb063e8Xh75W8xs7ccYgVELPg3WDwZtvXvRu/WoE3bcXaHplzT0eAH23KaVA9gfnNZTPsHg1b8HHAqwj8x/5p7u2gfWtzDe8+ws8tcDO2BMTmhl9M9TPwKQiIQWr4TovJZ/67FxC+2wXqwOl1QT7OF+J2c7sCN7DJ1A/tGpekx2Fjcnx+RJ9c1GjqzSeSW/IGnGrOJ34UuniF6w815f1RpB5D+ZoGeuR65yiq/uqZFxq5vJyuR5qwI5+qoieC9p1N+p1Fo6WTFqEFZdfC0T3odEbP+imFLgtKlsaRxNRmx2w+M+6n2NqAz9B3ZU8ljd5/axwCJ7yYbSPX8CGQAg7VdhrhvIg1Bz/8JDrfmHsZRa+dNJw+2Qj+jEtY8yZHjq/gSw5s0AELkivjU9ZYcgdaPLfM9BfpHnVJChVOsmG31/0U0G18qp9bkbrqB1gLc2E/6Djf9nZH6ECmY4lPFFWLtNSJCPKsOH8SSz4yYPJcLEHNVFezyT+W6sZMLj4zmo32qbhdSUzQ3rJf5+aHrEyfre6eps/K3mIbXHIEfn9iATwFB03qd2uriQ8M71WM3ZnLHTXYKXg7p4I5xOydJ4fuTQ2TfYCZLwL8fXDYk8XsTnt+4vS1j31b9271VBpN4swgpn5tTD+yGhieit8142Nrrqmlwvq0rRWbArqyRVKVN3HnKC4fTTi/HZydS4fOOjg8q0ObVgOm4EcjLh4LuIP0pcsqJnFbzJt0aOHZCM4H3OW2vuejvhPNh3wIHeAJvzj7CY2mw1Gnm9zybB7zHXbxRIfc3G+oamEv1f/n4ZpqXgSjcFHDrGn5t39ocVvfqlIn0oF1wtOVreCtTG9Cq6s4gjnq4LSJviwKfhne9UnQJFUhrHUuga1UVVB/gL+/kT355oG6HoWilY29fEDwcyQLR736LvFUAD2F5o6ZNxVnAroy17U5hy7VBFocUQSCWypWlDqQWhPC8I6Zc30G82/8ehJXfXCeEOCVTV76BDN0oUK5hQ7tgxV6yvlbX6ChxAUlpGnA1gaeXgW644H/reKpr0b8yIEIsrgDT5F4opdn7PJIjHKoxO4K3PLMIp7t3e56cGZHhN6tjeX5sCrrGHY5DtL73kle+2wWWdmdm5ydtUsV6igO5NiES5ryzmrBw9MVp3LIbRYuj8qZTA5g0XLJREnmNErOONyG9aA9EPJA2YpyW3rGNxGgAtC6DJjwr4d1BpyQ0+4T9NmpWXcruJoaeBeZaL3W8i4SyQcDg8M0ryAm+5WWvij5Ah7V3luDxUq/TC3y5CdTswmnmE+L2SfhjnVt7e7N/OylKTX1Y9DgAYMPb8TGgX9rFyV6pnZ4xyEpa2eSMH/Pvz3Y1uGahvZcnLWpS1q1Kx6Z5Z243XEVJZkM+EJXvecaFXWPK1jLnrTlS7/M3lcG8bMXMeiS6VPHZYDRRMEf5Qdr4+4tmDsfW5/o8FFZ4YMwnu6f21GBZ+TubhGmPoGrHGzBWne8T4H8GVj0k0TteiyTEYvp5b9+GiptGmgXNGqRvMtNb5dm3Br9FeB/I2CoUfW50whUKidfeYnvBKkavgFKy4tdx8Q+Mn3g4HGb0asUzx9Yy8/K9ncNxz+Hvxrjs6m5AH+L3TOYP8o1PcPlBWZbYs7K8xH9NLGelbNFMuycnNlEMvIGXhAY6evalskTD7DundvmsOpNsaoPcLcWC7cOxFmY/r4lQ++VSxwTsdg0Sp6Vre7MlAaz8NT27FqHmnDHw43DezUMljxPMfyeqYFnp/Z/ORMxzmqXb/ig9spFe5hHeWa6uzroQR0P3L79kbE///WZ8suaWuiRUwSsrDQwSg1OcgfzIxRlMh2HLVJBteFxMmFxeR71717KJy+Hp6mryTQ58VLfmDV4poNBjVpbxSjhKEmKUn0X51ePwvlW9Ghfm3Ot0xzCuh5q5vVU2G8wz+4HazH5vZvsA+LvObmlPfdYCOrFFXiGya2jCVgb7YC3PmE+GGZz8ZgcmhW0z+0s07PP1AB45bPBHP9h0fRNTU4v44dKa8bOPG5GeU3ZEmH3yy2K+SC1D3Pbz0VMJi5Mz2LpCMMlFHdHBJo4Qoyz8U7qys3PX2uGyATxe0rH7lWDi5q8O2V1mYq8uGWV6UFJW0rA6y8BzJe1GgcrHXAKLHiF9+YB+wyFBTpvEXN38W56EGYhCbNiO6aaa/CaCTnLtY1ILlD+zAR57VXCGDJbIfwG3gATZ1nruDM9/fY1NbVDdE3ZZOLhJ4d10IRkbkQ3wzjQVqiPtNfXOsADQZ2HXdMnHMUN1YP4mE+/PQ9dbNbey8N+5EzZ+Kz2TGAmIm7vXZ+Ax/s2nFwjYJqgK1IEscdBeA+0XGn/E37uyBhPMpI1jmZYe7o42N0eeCUQLDQ1Q9ea8xp0MG6j7lV//lLYcs/L5F7bA/CIrms7OdS9DvjAUTrwoIgWp6V6xi55NuApwJMXwBW8APZrA9kdhamvnN8PNnDRabuCJ5D1gEOIyXuIEaMq3v9X60OATwoqYJIFuLEbWz0BT6QeLoH6mZ5AG43O/GRMbUDr73XfjTUaNuBnHyy6PGigemw9HIZad+9Iac69mx7tjsJO0rHyuIPG195XZU8WeAY7DZKKPN8X+H3BI92lNH3iyKvacFlAXyS8t1017oBblWjPyYNa3q2hwOcQy9ritvAzvrclrB2EOgnvvgnIUq/m7uWrR8btUYC3zsfEaiO+SQP/VIntjbm+R84JaTWzzVjzYv7EYeg1gb9jorvRcPsB82wD8cl01s6km8Q8AG8eT+xgzRawtzlHnsyaV0KfX2f0MP9yxol7cP1FjXqnKHhQm+w467ThdsGSQ0FxLDW+AnvGTS/vKrLflKWrSiy0HZarafeVD54PM/oJ7L/kjn3joS5pCVA16MMfi/bog2gMawtHOZs4+LeTqbV9DJNKjUqbOsAMIXM/d82FFxYBuM6SPYD//WYgfj7eYM4giEz+XVryIwvwrhrIRY4ozNDXE9bH697N6SjknvbKzijoK2gCB3xR58o+xuq7cboN6fFPXmx7tvopt5ZQxckOxoKqNX0eY2z2EiMZLfuD6eVnJY+WqUWK+U0K5FZshv/vvTTloy39ubG2dyCcmQgd5bqrskD+iLA1OV4xA7ORj91ZhqoTGqWFtdyJw99yrlPClenpnnELxj1I9gAKG+UCu/VI1gjrhiPcWMv/egZx/JDWdFPFdiP63YMy9VObmiw8+Wl1vhCt7ezj5pi4mJ/JjCNT5yB0Fd1ZnKJeuRp4dAe+3y8oN/c/yf04ers26L4Z79KUkte5w2T2QovwC7TdfpODtkDHdlXxDmtnDgWDdW4r0fStmzJpelJdIO5q8GIF/JsV4h9pWeeC3v4w019n/HrkA/dBHz9ysw/Ug2O0X3dUb7Y6bd0MuIrF1dKURKjRO6nT+1r1yaEqtjYu8Y/42J7THokjV3Y1LGMjbA8Pni0FcL7JuT5tLwWMa2o0pGw9SY0ftTcNNd7jVRMDNMvkljlqx4ZpKix0wJZtMyp5zfMV1sEn07ok43Q5BuQK4xcqhvN0IJ94VLd8ReyIYIyZ9nPQYvheulmTkLqamjtQXHMhuXyd6zmpC/44CL29pSSBOHFwW6dyUQhsMDZ6eMI4vtEQ7QvOdzLEb+DVSsU74ERs1Y42vS210P9A0xPdoM4WAfgw+uXI4X1jaoLl5eWllXfZoxX4GWJMArpn+ql5oxhg7tvqAHOog/h6IKDlrZ34x7M651R2ReBfVAlecsQzNdw54ogBQ+TO5ZpFyf141jbh3T21L6BfrxwY8CxAOjz+t9k7kwaW/D2HaO2vFTvkhrWOqd1hFdqntCSyjvRbzfFAzftzlE7BnwOjdOk4/TSBOuQWeTuGHoX5uqkYthrUrrTcveahrxxmVQ7HxP332DuV6Rd6kmb3Xw+gQUmhRsSqEsu9lcD6myfByR47c8YC0DctD6l7gXirdRZ8bbCpefLc1kcq43pkrlzJTgDrv3IqIP6PjavXOtwAsFVeHfyD9YjfKPPCw8o9bvp1f9xgLQwrqEfSDNMgB4yI67s4qK55j0KIeT8UPNzBmsb2+b4SpuMiIMBU/NZG7LUHq+XgzUf6ZR8c4+Fn0980qgbP1KsqWKlnBoyhxp3JaUobTlJ+Zk/KSLd3uhE7XQqGMJU6uXCne/C1sugwr8derTSE8Tr71+L8xzZ3zBJ6ZNsJvMjQnMkTdFweUVLtHXsC3ziAf0zzXpv8goGNxKs1z4mNSspgdG3f1HfnTSBPOOAjEbuVBsxrivmnjZCuRstuRffK3zioEfgoMPcQt09FVQwa/gZz+oEtyU0eVFZONYkuFkU4p5G8p3oyPatMn/MCYuMI7uWRDklFzxr0O7dA44rWWWY+LG4zmP0o/NKUt4y1XsFwUjD4XRf+o/lNCIn31sM2wiZ44gO/mHPCUCGIrMKOVC+j3ALtttFs6jjQEGIk9+8UoZOMvIMqQ4ei1oK5W+fjX5/HWxbZs8l9xhBxMp4+xUgwhrUG3PXkMCdT4UnQES5dHtPTFvRMHxT9B/69G6rnzMHHWMBG5vZHnPaY4XKA98jz1NRgPBNL2dNrff2kTpc3Z2SR8zRj0x4+kE5qbZPG0T/wnayDrTTtsUPLzq2tym0FNn0pr8CVXvqcl9zdXY8wv6vzdAD3tO7t1kvFZdOW0s7Ba+Zn/Nq3WY5s+QZumLCV0NxJYOzICa+D17iVC+xcN/Az8I4/GHUjMFVJwtRtz8TBmvzsbY5yC5Q/ThYFA1Tb6rdOv0L8DXyz4GeSV2v+0koGOvEgw/aWRvaNlajgEToVwG209x/gx00NgytlXUrsrmQmL4Tr7zRUFyDApyirTW5tP3Dvf9aDKlOEPmio61wn36nFgJuWlAzs9VnJUWOKVxTlz+3UxF0O3zeuxi+7ZdZVmPtDvN20o15ycz7lDDYvEaGWpmmI3XTUQ2PNpnaB8YIlOW0/jkFq8rkhdntlzfB3Lv72vmAdeQcx2uAP5J7Y/2wcLj/KWZ7HgcMkBM7gvstK0BOXg4/0k8JWUTEkpTxLry67W9VL4CaPqGgCUuueJFIjcD4hI+IpeGzw5q/n4lnYkYLNPLVABxheRMlLwr5gzUrUjrjOosqTEaFpgCAmSh8oG34fPerzP6sQ2xDWoJ1r8CyMM1jrIXgYH7PHA1j/DZfomzh/d8Dvopj3R6pmEaFAOV93Vcw9eJRz46J7i5Ag2tSR1+BdkMXhf+c0uakotOoe+MnWj0bMsalHzyzeSz1lNG5dHnUBBa+UBviugCNefhn4q69OMybmnelE1q7c16J9iji5U5cXLfh64iLZgP6zJ+jC8LWACsA6BW2BOHywUpivMoG15xyFcoXuzP6S0fEzPGfFe/zXNxDWcSrPySct8aOw0iswfAYe5bMW3r2Ols/KCV38fLeyMnV/ax/89uzAudTc1EUPZJx7iiGTB1WYjFsZgWen6ln0lelZu2sd8vIpp4yiroi/NqZ24cEmVhG+39vAz2Wsisqyd4xJH9YkeN3LVepuBf+50o/tSfWpB2vaEgKPRbRZD8/tKAPmZMG/teHTtyg16JtO2Dl8aSWpxlmLXgJBbTV8S6cQKTD5dmfqAAMP9ZLzXvRf19//bSfffN15QNlTfla3ZtUQT8gni7YQUy5PbOu8CJRrTtdM/fn/z8F43dk3/SuX/LefnjPtjqdtvLdTqx7JR+FsnjSGNzLgQxvKz3ZMPg5reJUiqZq+g9EjmSHsIw2vGdKW7MmudniVQswq1uRNDe2VxIg051e/7JsHnJZgO/dSc0cDYsyxJ0+uLxsa+2sL2poi8PRh7kiqCjUA3Y/vVq3xk6LUUrTr966CYJR8sxUNIpSmZmgpo/cHhamWxaldl/y1L3qrzn5wRIPNQn3JotudDIlXUR3VETb9Zh+tdbHa3o9EEK6CbXPTP/ngYkzH7Zo7HfAe+q54FzPTP6Xkd2CeA+tN3r0Cnz0VWeC/8tl6Aook+spqHV2QgNwrC+WFyVFzbG7uARTcz4E5zVkSeLjlm5TTCnGG1dYU/d5Z5l0PY5PVbvfT/O61kSVjwDAWmvNzuOH863WGuGFcsUYTWCXgqsIubE2f0tifMkFq0usPPErwAlIfUZekZ5U3HOasqcVvajOWym3H6olB245xt5FB7oGOVcB5P0c2wZy5WMf48qp9dK1HnEjn5gJPccLgdyIVQMw8mDrqECdi8BAQq+Ys5bou0DT/nh3xyZzb/FRc/bLQseT8KCYbxupSMxULLv1WLAPEnxM75y9mG0WQPjKIE2xtr+1AaD5KchyQ14iFC4pxFrdPEt5sOc4wrqrDevdgNkbAMzgNQcdjUpm71fnoBUoQ64iwV9j8hw/k2pwTmIX8r+YM6EAH/L8xfY4JIqaX1w987xnmcF/xSXOaL41GQwbfSWqSkXCG3/OddG0dU2cdC/6hQDMLc/4CXo333BMIZdT0xLKZcwy7V90eH1grwObWh0ZFQVVejd0H+OAb8K5fDGTKIlzzEUW/NahH+6OIFnxksw3z5cpW/GxtzjLTG3tMPWybLmdLB5/1w/ruI9e7tYin135UBzxO6jPPgZN+YA2H6Yp7ZVVLEXfAb7abltXKwgS0xXNV6F3VsP3OLY+lI/j9frCasw9rK0mOprbjYEOc9DvwXDoVtzsTu03q3F7v0Nu7oQdcczvY4GtWfq9FJ5tICWVN5+OQX0WsL5LJApioxLFfyNDaFLDu6el2ZVp5wMh34C0KfhKDL0+JRYp20HtVAvtE82cbLi8+9ITGj2PURUUMcbz/2oDm7X77AcCbbUwf7Ui5EJMv9OPd2ltLUI3Tc7+q76L/MrWlrKPW37S8uDAfdA5vVkXserC/nGK8bVKXXbFzecXDZ1UOC+/1oH7viv0DLyQ3+5VXWbRbaERsOXytta3PQJQOtXW2t/Vb0bd3Ux/XnI0AG1RHavYkJ5MbC0w5wed/WcD0g6ndJz/mV057Dd6GFVxv/j8XuF0qN9mDCk1SwNhyHR+sm0Uj7OQuno6htXK3teFzN2nooZyiK3iSHwa6WYQXGzyBz8TWnGnK3O7EwRmuTShfZ75dPpBL3qtE6GolYXdjFt7TcfE5TOOc3e75kG5ay1qpRrilOTDV9H1wyZAPu/Vghw+qcwtcxBNzdSgoQWCde8WTHxzhrrUgXkXLa87HwEh38EOdtHTUcH8HZDM1psckR6bf1Ue9gkdFJCaRXtpoeyhK9AEccuM86Qo38Zvw3QXetGFtF8VIzpVGH0roJxukqYniNdFffVGU218e/IzWbHvCTK01Ug74jB0BDcSCUBnpOx6qTWp5E6DtKkP5KMYuysrOScsOt31Xs1Gl1ZC8tTb6pBBPmJaupChK2WUV2n/VJIS1mJteieA38bRfwTP1/EHP6SY19aCfc5WDDFVis7Q9rsFDSyCVkERflmJTmo/odkTIM310KyYz0JSqYdNvbUJzbp6WO5eO1uu+3k72uCw0+lbi/V4MHQUft7ShF/GerLB29iZviSG+4tHcdRkeXOBCjJ3pKLIhAzHc+WBUfzRa/jTj4w5xxU7d5K0YYTa5067S0x9HiXDK0mLLRdg57bAdWIgjpnmfUx/DG6wp8utq7UIR4B9T15s/b5u9tT0A37yxArTT5Mx9zAOmWsji3SqK97sKbWAViMngcoHFXvXM9cFS1/o0WzRO1nT4cvPe14Ipj8ZfV86W+jh+LXjsGLbyRx0kIV/VJY3RRrqkwA4uKo0rfFbmrOWBYY7CuvqodeKAf9Omx0oWbV88f4Ln/FCRtVYjzwtHEWZPQ17qyvQtM/kK+ZB0NZcb+DsjrFW/RmRDLWB/V0KcRk+jJyoio3JknaGuUuO7o0pVFzEPC97xAvkv3khxrJKcbff5mYA6q6oY1YFy8BwjeEjBtRrssA0JTjn65hbESo4SpVFdB2THguFaa2WLAJjJQXXb//PAA8M6J07uaNBF7yndr9fcyDLQLFiDKbfxmFv5sxqZQ4BXTW1o6qKgiBMP9HMpXCDdeLo27rBIx3DK1CtHJ83auSRcLsePbdGaM23b1GHuOhHzbxLrc1bq12dFHLQBD90lH7tPFULMLBOUMtMDcLvkFgnrXoWt1VEcm/2O7qcO1P/3/EUkxyvZ4LK9y56Zu6e5Av45uK3pK18RmuT1kLiM/uVURE2JgkbzzGTQF6G8HZypqPvULWingXVicZolzJXvg7WxaxfG38IJi2V11BfwbBrYlW3Ak5/aldemVpFinemvaGfBb5/HnEW713llj1ESmx6bbbRxW2aeo70za34wSyZE2Akr/22qUvICWJNrKRqB5oZfrqaWGznNP63dwRqZOhE9liYyd37egbVl16CJYt399rb931mbuYdNDlgkC9NJ0qLuaWqZtOPwPBZzDGsvg5hFeLjsBTP34O2PRmy/C65CPKhDHSnw5gw8LvBRafKk/Sxnya45o42px9eCVrwYm9gwxjGXLQWvxxbgzOmOzb2+QV5Mb0Vy7q5CK076nSvY5B7DRPAR/zSR6e/ofYNPPqU9gdUvPYrwhHXyJkwPLSf3GPp6pjF/aaVdjfYmH7Z9IyQ/UkQOa37noT1xuzsJob6pjQc8bp4FBYoyvWB7RdvBk6lFJF/9u2CY08FzC05kA+MH774uSl00Q/LJmL1Lkf8aLySGdm1HLxW0ezuOeNMGaMHRXEMcg7miFnVOMmb/e9bA4pXp72BPGPg6gLXoqdFDGVtc8EYy5aSkZ3Iyd1iAc95oCWPVM3tvv2os3Cxzh9H0tGnsZANc8cZc+cPAX+RuDjFUsdaZaD2m92pMznztMDN9ikMF8z1/Fm7n0R68e6l/Up67x6A71WLjNhQlbQD+hneRyVd5nTvw0Ow1AHsjLFWcP3BouxA7xiy04xaceWsnQX3aVgIlO1LMdorQ1FBCSakyxnipHLyq2O+JuSdrX6ws4nn1nHPiTHLvgtemXy9f+YM/tiE8zwb+/Rt5zj+H57sN7y/IUOKoeAd8gcfU7Dv3ODusauSn+QRc/8lM/mQx3w4uONezvyvsxCnCqWhYdziChyaDvuQMfMiqXzkV5izhxMZpaJ/bOO2TzyNPgBe6tAkSbN47C4G1RuApihhzcwv0SYPO7MG3lMcxgfnKe9A5u+HdknHgCy7vdEjuqemfaINi0r88vWfjzACaXXxYk88a8bsE8qojO2bw7+Qw1eR3T2oyz8COTJLG9FU1/anF7VmvHB05mkDVT1mxpXWUnIzeScur29EehCAJxJzXnl6sbCSpNcXUYtdm9ceChk5jbc2dth88bhGw4QL/5pOuOFGRtnB4s0jAOxXOcz5MLOdoAfbpQSf6lCUFH5iTMimLEPTFVkjof6/PWtmoPdAuq/jYJnLEZhczKAJTs79zMmR619uCDUmaWzMwr8mjHe7VYHe1hXdEeLJ25qKyu42I8VUhWDOU7Arm3VqHf4gI9zz8y5FOVABrV6MziGRFSvlBnO5Qh+YORgsMDN8FNFqW5E2J5LPp/SHvww0FL0PW7tSU0y4N+VVQFbXuJCDeXxtgeoiD+X/93nD7V8N/7vfORAqzq+2gpebdIM5+LfRuA7GA8mjbV+MyYOApHHQii6fP41mmGOGsCJIdi7bAZ5MFxssCH+sXDCUmL7i2bFjXg6ljYbeuetX9jgjvLuBtEehUtn+au0iwxhhxcLRdCjH51OnOvJzeUuA9WuK0pgQYbXJowD+ZmP/rE7M1OS/usfe/gUfiZjR5lcoUpj2bGrB/vpJJLqlacIyLGgFasAkXVnWVjF2VPe2Ik/wUMZ5NfxscPcydOo1L0JUxvSoHvI3tm/v7rHXZgzPgz15Vkn+5qS1hlfvs8Jzx/96h/Kwc/sOsyfDMFdPOTdG/jeqTEPj6AjG8LpjesNjcapg7wrm5Xw88lmwkAh4wXTvOODC1/bA1H/DpBoyFkgbYh6B0AeZ4nVc+s4/bwkbJaTi5xTBYDPxcGhBpamazPqkrU1tm3Dk8lqbnxbNyuzcYuwcuE5NHwmiAdBtIo3dOKhLvYCPw1OSzsvGNIfAYln7V4SxkgCvQ4+UYo++sxKxxWg9+TmHMd9gC7VghooO+HWPywaP8ysE31+OXU1veRqGkwhTf4GecIlN3QF54iW5MDI5Awwqx+Iesf7V0EuV2tRTw3gf80bJtUZ9RpRzykbLON/e7CFsqHKkF/M13O75bNLSj47m9w9+nBW29Y48D0CiT//j/NWgij/2eXQYJL0xOSPnXzzesAwmxiw+mlqdg8obPwJBh991aCXBz66b0v1o53OT4o+fB8X6o+2U3sQSOwRte7h4tvzyKEEbH9BGOkgyYJ8pPW7vmvtNa3l+eg0Rf9yPyf449c5sA3o1GrD5fbGLjRGoYrQGH+TCnwKPeMZoLaoUWHbZ3GJtMDmo4BuieDl4houXZfNzuPEbmflNegQ7COF/l+HitZdProays6inQb6/fvP0ANuqrK4u0BP21IDbU7DdvPDk0Gh+KcQkgnlWmNmSx+l4W+AJ8ngXzZhDlABqrflpTV8tVoBPAwuHfGb2525ADb5gcSeBvzsCfdCraOjJC+6LkFMZJM85Bp/hKg39LrrHzWwu4B/nnvAcP+EZD7LYrSRvX3GNB9Gj209bqqqLpRFz9Wl+vczoKXoTDOH8Wo+lt55ue86a+5xsw8uEY6KLlwAmWKisgal7qXeoA92vf5NokMBdqMT7W2s2fbXkxdcq/FbtYTGNTS/iV9+UAR6N8BaazfY/EyjdzTFnhJne2txwUJGdqz5zJTXvTuwei14guNNZ9G/BQOeAn4t2ikNlLBW1cedFYG0eNudNSU3tWOxXHwd99otF+S4euN5qchrkHXsqvzuG9sQkFproqN9F1uBQQg9+AAKyGyk6ckQNs6BE2XbOIPern+6bqd8CH6UOJx31v6QFiU7J3zd7X/KpxlwgtDzlw0vE0Y2BeWCfwrCupchd9Al+YGmEOOQ9rZaceR+jUDp0Gvbhhd+ccR1mTINmIcHOnpXqmq14FRbE0tSE4+WBD5dIze+1Hfe9XU0t864D+yONp+wMcdcYQB47DzewNdanpcToiYmovAYt9ikjaBdA1dbxDrhWwIHvQYaGKqR9TKw+H24yP/Cr17imdzbp3lr+7nGL0gAlIxs46hfcI3mP7DfEuML395Lp7qoDdU+6f6Lhc1Bl0NeiWNsBX8LZWa/ZvTI3r/mvlMN4Q/yUNtzcCYyzjBLPRBpe7fXFU2TBT8xF9Yz29FdzUK3s82lILUoKmUJmnJRmEyYdfVQn8onGgL8RCFQu+4DN1UVuPB+hITc++KJyOt2IhLfj0iqN77sxpGtmv2s52Cs8pw8QClvIVx2PrDOBpwOOIbQY+loOfFEemyLGEOAvsDvP42oRbq7LIB3AvYZbJrdteYF1+Gk2SOrSxUy1cQEwOrYep0fB6LqnRnPb/Hhz98wp7SsHfzyn1D9yagYzQZ3ruunqwNT8rVDjbQwG+1jCEKPkdeKErnMGpS/RowR+1bL5XYkkaG/vsjCXM3988wD/vgLqB8ATVjsaS4bfW1C84fy0Z4ua+3Lh/bruccouVfH9wNg7XZJTAypgnugA3UAMzqwDButVL5Ugw3j7Mo+mDGU8cyIJGaPe/d7hNiCPT1uUJMAaD+LNim2ghTL2NjZMJZIGOLcdo6nCPYsF398L0bBv0tXDskQF/Sz1twK+64ixBC/4928iej+A9s2Km0vZPf/MwnjI58u8i1CXo3Mmcrx0sj7No+vn/mp7pEzvEKSLvO6Wqq0MbIlrr4V6GShOXjbhrtIwb0T7SqHvwGOZHr8eDqQ8+Jhku3v9qs4BRux9F68E6R/Q3P0Y9xcc7aFK+Hlb2PJbgwW3ugQYnDOa86tVA7cHcAy+KYPeokTR54RNxE7t1cK7G7Z2tqZU6jyv4wLhe/858I9MrMLXaVa0yrgedH9zpDHrcmz6ATbic6FnO6vS+wOdbbSlz+jFXpse3iLajPH851WmeSclnpflTBho84RTQINxgdwKukeMxwK88ol5EFwePCDS468BVbEwtSWBcCSwEczwpGEOnguuAlj6jEX5IiBlZNMVk1JuC8hsZf/fxFrMv0MR+wCyO5EqAF6cENPQMev5aywt4cnNGd6/D7WruUMs+BJq5PaWFQSgWUYjQ5QNagL29xiEZgRgvxbbCJS9qU8MlQqZ3vF3DnKgt9aEcuc84MJ4FY1ymoHf5yy+bbgPAGHgjAgJMRqzc4rpl7YJDiD/034bGPCrA14GrdlnAgOXbexZ6XTXuPIKqpbIZxNN5BA5B/EzSjHnP1h5W6ai3Y2meU7/uBsK6U5MCdq5cfTo43f54erdz57dvkgXjtsB/y6qYiTgnD36ewCuZv9uVoJhRYau3eqzW/Cw9YO07fm7f5Oi9YapnmC8b8KjX9Pmah/MT4lVW6eFRnH3ym6sDHl/Cf5mrc4DEKhfYyULgcit3Mp7UqZZzDZpSDRu7EWTmhsfP/4CLePnLhqUP8RKewcJLg/hkauO8/LKKwPOA58rFtiOis5vzzsmdhFeO9800yvLBAnZcJgwcVgN/HMsuq90E/NPXHTzgKCF+FvC84NkrWHEJ8JePY1U1pt/wObk0PPzbZ9uDx+Jc2mY/GNPk0o6WTe1EirBaVDR3uU4iYKGsDfGdM2xqXnqt/npUQ/cB/JGA/py4zb/Bi2MSzZvGTQJsyUdrJ6IN9ZCWf2yT1zSZcstzWbEN8jX5blcJ890n+bicqxKhOgSa4KbeEDfnrZKdu88CSdMDTDYl8ppRTdzipKASYs18lrQj4Ok64CzP9GCQdvJXPyoLcQbvbOKrHnFke1ij7rCGtuhJYnoHcPADlaUyWWw5cMoqgyQwd3y4TS658DpzGpz2HXDndGpGy2U8dw9OQkHPdqmNoprzV5+RHaZ+IXvwVmtyScOL2zrSxKtP7uil4KhgQ7tWpoZBsQVfOn0WVIW0B18XEuPzbOOviAaWc6xNa+P84ExDfU5s7mxPea944eAXA5wO1jYEjvVyxj0Zvm8Ywm/iA5i6T++NMxXE0g/wKm5V8g9KuUt6fMKRJrmLNXnernRMYojti3IvC2Zbs8/C5AAeRKu5jvJNLm6vGiZXHLYrvOcV3kPZjEjTkN9TMMug03s2LqB3tpUW71fZ45xRLsHfR3T9ugIPhgIINgWHB/wbVAOM9xmZLKQrExM90o7J8vKUZ//FbKTp8TeOpxo7EFcDcKUi3TDND5JNLut5lTuPu4p1XqBkLpBftCWw/pD4zOlmYj1WsnY/e0vZKVPmzvAgeuQWZq/S6WLSE5GiV8+72caWyQ3ivhDdlZi1aM2no5awFmVQg5OuETrUaOooQgHWXYK5v2+srYVhjBnSMw3fPWCLkAdqxkA+wB00A0UnQsO8AWb+HwOkXIcexM99dUbwN+TSOB7hYcJMPRbGFHCRMns34I+wdYzsPWGc0MHk/XGehvCsbLaPiC3wrOCoWyvn3RmeMzSVa/dOt1SDep0TiZR5vgztU2P9r440dbSpiqePfPJpjDxTR5ADC8N7kWzUF9M/UUadhNh6pYijJuaHOup23JlLYD9tauemgtQCXZ58tF/+q2p7cx5v+n2qjzTKbW76Qjnd6QA8ZmpqF+euZ6zbKT64BEm/seY9dRZNS/AY4Mv2jm1q2UFM12/HPl2L0DL1Wjn8+zV1CcSf5e9OMSuxnwn11vZ8fxwedxbnpn/PpjU1svtuw0/vm1yn14zqrHCWk4wZ8OOXi6PNkrOuSvUO/CvycZ8Av+OJ6n+LLKsVmMXU0b83VL/uf2lqqQji4NDoy9r0gyfh2TJBhAhncyd0hcBUkLO6FVZSmlrtBHxpanIeKEkghq3Y2tzzvstAbw9ptFtgLZ+PYbcD78OOw2x6W77OYdN2Nf7X26gVjyIYPBouu8qSmru7FbskzuIJH7UfwjvygEXux4/3e8NUcowvXq47C/z0jmjp02hzFyNJGEKUO8muWNUEXMXrXgZ/DCA2G2wpDe8rE/C0R1NlROT3/UreMrG8HSwEsSIZMwRrJfy9s0EYs0DvOIRjcq1X9CDhVLFVf7Lfcxj+QQRokdjdsxg9myD5+ZsbVAPzkI2pU1fB+gSv7VExpfkqMetBTwIfg2e1mWNfWDRcIa5kh5XgLPYfxOJ9zbbXFNboMSKJiPkI8UarQS98uEE85Z8ynF+1xXLpdKscrGuNumXvToOpK8FC605iPB2pqdWnGbYmB9ZoTgf7yZybJTj4Z1NbhetSCTkprTF9mtqm3R1H7QIexngkLvnkFEi9zrLh+4CrcCWwAKoxJafGudjMRTE/4/EolPE1BNg8zs/ABAG5ZoF2MYxLE5kavTugTrLSfnc99sxr4q+Fng1L6e8sQKgQmgnevfYPhSjmBVvbXUHN9zB3lPGtHZNRUlPjo7rXw7SDOdYVJfhBi7B6TO6g7/hgdyFzia7BwVTWbm0pFybfJB2RVLwreWTrJv5ntzF/7bPdW1MnEt5TOxJZCPibA8+aVX7WA/HTcGNy+ypMv+7UWpxjPzwYOJW9ra28nDrioE/AiboIFfyd1jtGaATdechSxQ0DtgG/VK2vfYDZEaO2gJee4Ek3VGzB69ufLYwZH5KEDjKmVJUtxEMCHlaC/xBnfsIf87MyOeEBupMzMvW+173LF1A01gr5wA57NnFl7uGY3cXX+gJPn5vMhYQM6NvcSWmAdIrx/WpyLeiaCIiDq2TzGzcVsAdp7mzd1Jjc8Np6rd3tKpocamcJa/HlEljfGePfLSXmrjzhlloM4/z3Wfv27Ac0GtaCqYAwiY8w66QAnGH5AppBwSt8VCPW/DTnvJc/XKC3wt3dKy4d7iBBKbKPw/uS6u4kQ3mGiFri8P0Jq3E19/sIRS8WNb0InumZaPDDUaXlKQ2Xe2MOy3ryVlMMa9HU5pBPYur8riaXvyvEeZLMnj5Txp6cT6e9CywI/MxGdj04O/BR8gH6tctLeW2G6e9sVIShC75EC+2PbWQ9MfOs3E5+hEgeqphLgRJfUl6lKPmG8WEy9EC/koqN/AcjaU6gz8q8L5ZwrmWZwQys2JIpsXNrZzoUzt8dn6mlcqHWsBJbUTLwB3G8rrGrexaQC+ia6TO6oaBtRakkZZ0nEM4qq8uoq0hW3Dws0LlygK/RtCOjfTW55RQ8Meh3ZmrNp8PXn6bkVhewjy1rnI23d/TnMXysjekJAX4uHecrWcErhpWVM9Tlq79rx+pK7SmH10wrl3ccPC94xG8SeToLtQ8MiWsmTb5ez4Alir56eaLvNsIX4FkCrNLDPN0ICgzL1ON49v2akSsJk/Xghg68F95yJc09lzbc/qjVpzhCXRNoRwadUFb3CW/Ur2P1gGeVZv9UjJ2EtfK6X+mlvPNbF3n8ua0yhKkYCMT77grvKT72+tIiH3jYrHdpNYO5bzncKSN3DH6e2Z23X1G+d/GNsCXKXV+YPmx8lRl3Q1eEwJSlfNUjMne0L9yZUL6qMRX40CIJc9B/FOATWmfuaoarI+U7qqe1GUF/gFEz9AWayH+K87BpIvasIKalI+8oQ7IIEzcLO3/veG/AU0tqda93uCg7sSWHdYUYrGl0ODibq7kvtneTn4xtSxgzXKz5k0W6SPmkIYbV4B8wYeqba99lFE+g2Rd57n4MY4lI/dASsbSUBQ+9qWHD8qdfpalNk1RS2BWL/uMoU1vMTS145g8SAaMh3oNeFc3H9nYctDD5/eQsA1hbh2rUPGP4QR3TA0jemO5Kcx+gsWBcS/whrVf/r5uttKT75/ZWOPkKcXLCMU9F+IA56f3WYWe9udgkY8m2T7Pn0erKJsP7Zm8lV4wSIqMkxPZurXu0V6izixD8S4lA77FdAwNi8XfGwf8/3oV3eF8RcITbDOlT2fk1+9gG7a/PT6QaNw9sPdzjWfltvzN3SK4Fyp10IOlxfHfAk/p0VfcmtPfNYJszkv3BrVZT21jBbHnlVTLgCzHatckfTmH+gPfYAAvdSRia3CXQbPAL5/B6NPfGGPmhxWzt7elCHG2T5/xkZWuR6Osq+b8HzOcbtx73xkabY4lwbsmOCfnaSymPp21YOfLRiPaZfcwrvOefZvTAF+ANrNWeuglwNjAxn4bK2g7Naupk2kl+7saWMxd4x+ejTs1ZqqLJ0kRTCR6RtYwI0z+Y/6+XxKjOBBz+FtzgxU1dYPczBh1Ozln8bync7jMNiP97B+WsYnMyUDhbAjETAmK44efuoxbhs3aAdUp9V6YVX7R5FLzLjmPqHEvyrDR/5bMdUms2dRVEG81872welat64LzhNyfJTnrCwFf16I32Erzv7pHF2E6Dzjoi/ybKf88UODkrp4+MJSTlOTyXXQP//YB+bEytW5O/+99nDaa3ZUoxFyO+HCmMu8ZnYpM7+CLCQu+NDASL3uxtYdDrLehSh7E292C737tL8F1Q4+Ad+GNZmzpPpawNbf6e+4jU3N55nVde07jDPJR+y32MaSc47w540DvQb9BpCTbAD/CwMfkIBOL8ZxG0EPd/z/FjEiWOKjEmEVuASUfgTBind6ddyV6OXpe6X0aDXzkVK42/bAl8LUfwc0xd4N3HwA0WeOKMxDIkQg1yCF02ej54K4AlYuY6bbks2x7FrZ6GopffIkZUuaanYGU3VM5tCNo3enUqltf95bJlU9fq5GDqqpo9nYbNG2bBuvg/pq6tuVGd2f4lLiY1fhwCAmMjB6EL6A2QKxgEJjaxMb/+tDLb+U7t2rUv48Qg9WUtqXt1/7iaGmcM/LXqND712wRrFadRuMC77Cm62KcAP0vWBiLQRsP2ZnqNZU9mRtEe9+GSAj0o2efrrHKvxNzCs4+Zg5Pc7jckyh4VujiNa7RUW08h5hxFstBeWVXnV2mhvKZoTX/goxmsnxlg/+pQcMpWyKtj0hKI8c3YPsu+vPL4956IpOEWQ65zlWWzPNxZLAwtNtgAbvxecV82HCXA0XYQA9eDzc2905JCfOQ9KfPB/s5GPhxsnZbn+Sr7jan1HJtQlmRMAKtmV2L/2qGAnblnRj9Pa1sF+u0Y8TyPtk/VZS4gpe/qfTsyjaLMaZ9VOOdEbNPcQbx6bs810/DzCasHiCsUpzxszw3tf3KMXNOl6r3vvZ28/OucCuDko5l1Z/MTUyyzjY4rIC623ZA13Qg0BacQi2oFmzc64+Gyr1w9yN4GG57eAPu+nUZNMTV+t1tPsbRUD7isQ/zgoLyOX5oY8wXeGXwjfJbODnBq5lLtx6eCp7TDK+Azm/XkrsQfWzEFuHvzxIVv11binELvmtqfD6mTawN8C3xvabTaA3YR9DlTc+5ZalRm/W89Nm6suVeQIwjHDMflSoTnE82v3OF7BRikimHtY7+q9TRiBvmqN5r+/gfkjicZLx5w2QIPqjL1sCchn8DrHYL4kSP8UbnKNrqD//nXw+gcSP25HPmUUSYdwNrwTH9cGSZvjdYh5Ni+icjhGANnBPtQFrKOiEtG20EWpOTuRIzWXm1ZC0aIAKbO0nx+o0i+EzPnwvXR61yURXjN9afLxITzUe3IOO1OcYJl5CHByCbt+Ei7ZNO4zIN331fcaNG07QnxJ6DyAxMqwKOZl8TLvOPfJUt2zNnOBjunSF8Zml5nKdeck5VH6gtHMgT8eOc9GsGnwea2GGJO1wCeAewA8PCvdwwUJiF2GXA+WeA4DSCXAnZqTA0CmuCzS1fDilbOxmo6iIsctzmbXu/l5n32YLa+5Wzes3DigCE57v+4CnCIFN4Fwwrn0Wzmr6yQp66czRfGEp8U4f3wU5/x58GH3hHRnyUTfx5Ut4LpT+9g/72na3+X+tVDd/Ngf+6k336prrkeOY6orUbcqWczTGsqbG8PObYZ+cosz+e56fmEP9f9XZlJ2WAAEHMPdbQtWG+7tZjfIB8sop8RsznE8E8zj+HVyxllhToA/lpO5z/mnjVkHeAtTlAatpyhz4exqdpBFzPvt2Q6he+6MT4xwGfH0/h3McoTuePtAB92wOuW/3DYJJ3GkmzzBI70OnPIml7mFTLztGVwiogkTutjNmPMljUfJ+DaxofZpgqQObcUgH+uwMO6gyU1sQGExG2ROwuFmC9EvwA+NjpbWMsROH7oVUp4r7kwbsnVdxMrnf3o1vpjxZIRfBh2GwH/3K6Z7T9FQTbc1s88sjdpqNLMQv0xWu50bL+q9z93+E6LovR6GpAjRplT058NGCVnzCot+9UD7puZxmUBOd7+vJYABY9U+dTcGVttWEFeaCg6G97U5Fs7ZdmKxfyh4GlqC/sZhbws9L0R3j0Vt43RdcWW2jR29oDPZGCzE7anV00gPnV/vZNObDNPyvS+1MD3joJZgOMjgRrH9HnzSEsRJS1wsE3pTAmNkwpb7ayKxEuLi3MMAZtY5A33tyXtzHw5ciZDaKth7liQvO5ueuAFAvDxF+QLyOE63bvlJuXA9ZhsJfIhTk87FoBtDeWdGA3AgIQnpAxWIDJud/CeTk39g+lH4NZclbbesfDh4hUQdThVR/Z4cb2rirgDPvph5gKeQnU/wn6I9+0Vj9yVfWsT4AKNmcOgyUhiYrRersB7N/WKXDryt8wtHxBrCuL0pq7pQ8bJThkNPsBmEHt6EdkvbbGfe8/yOZc5sH/ggRW3wDZsf3eKsIR4kFTDEuFQccA4/omrtgmXFq9JwH7i4Byk4G3ZmqxSLBfsSpl2/bPugdeEZEeMfpv1W98LeFPZlGePY9FqHk5XDNiZrX89FmYbSrV7QqkLXHEsrURQNgd1NKdMkw9ckJxHiWvOZtMCvisiWcbad06TnIbEnONfZZCstfZf/sWqVQ4sTp8N4ArZkU09lCtl5UaF3GCFig52KN0fDSEC8dVpOHbL/LapIu+7GnRQ0h/95JQOgGv4NOeDHmu2WfMIP1NYF6nRb+9tzpJFrUkEmPObBn+dzLK7/fq5qIFnh7U3tUM6j3kFEXctbQzxKNllAwqI0d8OudH7yyXfOVIkmgL3aAL1jWNSNYW5m7IBf1m/NZxl/3iIAN3EsO3JsEU5B44M/Im5/VUgbXEXlz/5jREf8A8mcbPh4Rw3w2VpuL7LAj0gTxvcKilkDKE/7caxnQYhBzs7D5/nV63IlYca1ZF6cmsCjJnc8ogvgIEOHOztiFQPvGHkwsxcTDY4AsDneHFetB8Qd3eQozaqUCtwteykW+Bq/FyjTwt8/5FbM8R/3QJ3evnXqBycUTH5ylUGuwXAMeyMo0PK0TG128DkK671B3C0textC3It2PI8Av9Aypr6jDdOCvtNAN9zC9+ohSJSEJvFusTWAjnqdyay6anETCwLCwGLcnjOtd1LiL9ibDWzJami6XyM2o8KJR6xbu7J9FoieBab2JUGbN/5S6VJm7nJT70HDT1LjGTJ6ecmHVPAQeXyyl8K4k3Zt9L0zKYxPp64/5EO2mqiNs96feAjEWYWHXGIlWslTI08EVLkIykzqoikvZ06+kPR8o61D/aEHzzQPe/I8RjwM+DxF6/0KyZRU+gk7RItAdLVui0BcW+aoV9P0bQHmwbO2U610IXRrcgF+mgKvtaOpnzVnDCUN8D9qxC/k9DTOTOzPWTZDOm1GibDZX81dQHjP9SQJLxPaB3pCPAG+It6lwK7lQ0ozmklcJcj7owua+8BxmCncBmOMTG6TPoAyItGiwcY6lAjZtXODBxYh6X2O9x7sxS/tcSdHBNAoMm9YfaeWej/9Uuyuxz5g2u0yAifAfd4bEw3dbQkUgCPdni3t9qhtHTGgRkf7N4Bxn+gMeDoKH1CbphMb7kAnPDLHTQ8H8Lvp8D02u8eWNijmeVV9fYOcmQAvBF+xg5SYVm5lYQQy99lsXvubXIFfOA0XQkY06O5i3wyoI5Z7TE1td02OZpaI/X+Wyuyyvfbsnd3d9rrsQSuVztJQQHP1Lb6PoXpmq1ElhDnSy4D4He3mqGRcMLreJp4fNkcbB//aBs727GJ0CWNgMzZ01LnW7m3LlYa4t+zlIYBP6TAD5GMKlOLaPw/JPD5v56Z+1M5lydDLUp/5sxvKesAk/XeO+DfWa04yYrJqaw/yyn2z5hxL2fofgTee2RbL3cbr/7f+eHAR0yynudsaH3uzLPqkN6v+FIhlZfCvnFh4rbOgf+YuxrImS1S5t6Pzd8Y6S+MAOMAP08t7Uob9ab/jPfS6C6Zfqu8tH/nf71zxMtTkbSVg1bJfYgVyoXYNxFnG1L9+eCM74yuKitUK0OJCGtD8LEpG9sjM3enkR2B7ws5yLc64vDcGJm7TCH4F+23TAzy1cfxqGwNVJcfThrd0jjheFhgXb2hGdojt1F8sOxDs/Iz7/mlZNuvvNDkdJ77fPQZdba20R6vRDJVEXDe4q/N4b3owEkKHAtw3QQY9b/8ddvkQTKQLvQgx9Ij5DvOdo7g4fMYQT5zL88T41cqFnMmylRvzyL0SsXaN8zs5UdH2jFzltqIBeUzHz43EvjiYZVtFfjx3mXmPOVVH7U79aHHIvh3YKxUkJ95YSI0cyn1+YhaosZpkCYPDmSUkWxzhFDGdouZ38Mg1isru58CwIPh8nbMbw7t8eWwJvrI2++D+9c2c1x/zw8hjuD3OT+ZPsSVuczqgV9uNaYo4OE2KTue1MNyzzWKS94/85AnWJC70NMszewO3bKy926YIQSY+IBt/wN4xxsZzb0RcGxXv86W8xOgFFhz81zfuckNYauNjdCemBlsbtabmY7z2MRJQlGzORZsQ6gGzgVfok0fNS9yXno4TCBilVfZq0x2bVIOO9MPhDL+6pO6eek7YL7+cyVRYwMHvQNm35VWaOJbx2OyF/l8a8R8P6F+gbj/SKPlwW1O9m5zB/yEFPfpKQJbAl+vbcka2INqgEzbq6SE3FsBbn71VrCRg3MuFLvtxylCFDikSPvSJvlclo4Cm8g2kAtsGrZf1E3GOlyKJpxYPswhjbVHNG5TiwfUJvCMHj9Y7aYGPm9qflX0T+f4hW0yoe7ALz6AK5tZA9Pe9u/AQdvcvjzzTiGOmHsatjfaK7K3VUFdPUq3sfbWtgT/2jdRBusqW+oAnxy2Mi3AjtgU/cT+8fN+LPzXHeJ7Y2bWDPYD4mEFzzlyKuMfrWDDsHQKsR7Q07Dog6ttHs37zCFZPdj/9JmjFPZHfxjNHBqooRHyo+6I0b9PSre85vH0xbrd71wYyY2mUXuT5z938BTgVcuV2b21X9tROtNFrerrRP+6RuecDF5ArekDi/BRs4lC/F/ZiI/mLM3cVZ4EgWDaPEut2rrwH+DjczqS6mXzZs4RQRDSCrC98d/ckNd9JQ7/PIx+DMQ+IkJ8ZAW2m2i+1RG+VhF+q0cMWCCpaoiLTSjlfpUxZv2S9/Dnox8Cq1tz4J+/9Wzicgc8uq9ddKUh8FyEr2Qg5ozvoILGNvGrcaaYIfU4WGQWFFkHJ90o4JD5mlg18Ku083Pgvmk+6h349SC65F06CudhQkT891WbqpVjm14HLm3SMuBLtPdgLWbAdfZSgh8ebLDzQh05T0Te2xem0Qo84yKHKao7SalIwOcJ4IyLDXHar1b/piKwkVAeAaOZmeMvO1yAu15lyL/p2uJ6TAwPX3+0ugS6AettK7a1Sc+vDScVdcN7CXi6Wfsns30vD+0j8IYD8GpEzYxDwIsk9o8Ql49NCHGjn2gaqRe2YTK0Ya+QW3X8TQ52L0d2Td32UI/AvMZkDxmiFcNSpivks64Bfr3zRJF8HJlNcaTmY7B7As57pL1eqlWnpmYFj5OQaAe+xyOif2frLKUG7i8eHuSxnq9krgMuzOxWwDem1jLl4EO5yx6pk0QSGaUbFHI+FfB9RoNkU4fqLXcWkTt6n/e8V8DtTH1LimR8eN6edEQvTd2NzOe9GNEbhpiXnrfeierbCfnwfGaGGPCUgJuz1fUYtB3k5S8CqFB07Zz2cyhHiOmw87BPOfx/LBBw2lU5tADMbqMD0b1LxvY1r22oQn7Bzy1wAtthVIFNzhPwrT0gqJsQExA6XlTgTzlTZyWmiQ6mHxAj8GtEeoRYpFA9/Lmrga3V++wwRM6pDWQgumyyETjS+uqHvXl5EG5S2h4VT+4V9S0M+Q8wV38EzCRRW6Qr0jgCLOG0cdUhIakvjoG+GZ0ttQJ2c9FbZXr6jFY68BcS9RaNIZ4iDkujhr3z59c2GsCApdU8VExG2KeSd4mZ92Duo9NTaENOSJLcYZuaJr1ivJDiAZjbdlOdukTrR27OhIPelbx9mvmkJ2EL5rQEsOQ5d/0U9pK88EYe4gn41xejmrKgRfmo7jL2pakjk6smxFEXMehzJqYPGk2xtC/XsmivxEJg46o/dZDBBkz5eb4ykcgaXTYinPtTEC4VR1MmyOsuADEOPhXwGwcMJsK2YLYWsFY9g6xCLR3laLpz7ss0kA/cJ7FyLhvK8IFCLM+t1EoBw0sHM6O1C/z9IJnnQC5OKyo90ZNpb3kvngK+3X6VLrlk/b8aW8JNT16SSxfypyZBZS2osQkl1vSVdT7hgbQEUyOzmS0iwFMCc6q1V9sEm1qvku4cNia30m3vlaN3Jl/8910WHX5mKH/JTg/Am+8ccpccSUCpj2ifLbxoHjklPEXcgpgXpOB7zCq9ZpjOab+NcC+fmetLMoZW45oZydJWVHs4wpIWpMBO8sopLkF+1lh2zyEO1EbLPMYEa3Xfu6ogYb9IM++sU28nBmBNN0s9TN5JQM4TGeCFKQV7uAPmNnVmthiTxGgSNWiacGf0ytov4CSv2Psh8q1l7jAPbsLZ+9wfrMxlYv6nRdBpKU3+G9gV+Ofh1LXVkVnm3OAhtNLEliKl6lKZ+n2xPagimdKB3QEHFGmf3dmoOz4mr9lVHbX9pRz0DTj8FxfzN3MTsEd1pwHkZAo8C7CEKkLrNOIijeUVfGgDkaoCzOaq962WEbqV1O8YfP402CZvdiLcsn/zLZeHOQ9+fVdq3WxsevRdxZilioz9WfaWtI9R70lrcglwFYESXMXcMVwBcJObDrZ9WPmXzP9cGU1iIWRYcdObN70dgaeQLql4P99Ttt1Rlr7qUiSN8UVF7Xoq2DVn2NR1rcA7narT7+Xq29WaDPXI76Uzv8lC4qr7vFfn2caaIOA+HLgMxxDPwBZ7AjmNi8sKMRpDjp1OSJE6bl41nG2j+c70OooQjGTIHsdI37JBf9fM6019POsAy7KpVwNklVHvgaeZ3mr2M2u88Lmp+2wsfAC3ZcBv0jrwr4AR5hPkE6qnA9ja67uSik3f8MKWEGY+8Xao1talwBGOEeSDDnj5+82VP3WEP5gdYqv/QZ/bN6LNXPS/bqk5FRznzJw1xpKfIPpLwOfUhu8DrITFqy/7ZvpeNtjyxhMiDxy0ngB+BesX8yBZwT/yvdWsOSfvnKEJj5ldD96micK7WrWlYsBdbgm46dM9BZ/2wZ1K4AYZYJAcDzrH/fYDcOorbuxEDDmin1fBJCGi3wC+TYFjP3lvP/mILvLnTpCUdQg0iwOShefkI4khZy+Y4+dRyA0LQ09CvgCO0VWuudf1QmFml+vwAfHof3eIyL8qSirAUWFKCa2CzOVMzir6dE56MjVELXBFYDC9Jd3sLkPLaZAP6O3iUjEFjKJMCM+WFvALiCGAO2QF8Rgw4I24ElXD8sI2jEb8w9T2kWGhvN8e02hzr9HEuXk3gZ6qYM+sN/ONkEuLDPiIutQ2jnPb5yzUIjvPOcTFfW0B5wmNdmWzcGt+4thgvfYgA/91DnA7hVpmrmSQk0Y5bDtl672pY68KdJfP7ZBSJCgLn/+d85l+wEPGzfwFDTE7MSMRhmxIryRq77IIrzXfPUjwF3LCdlcyUqTdL2b7ZsLbp6uZPw+rP/A9+C7Oe4mBX0kVbg9Vp84NBQBiS6OBvMlj/BS0ceggDw2CZ6d4SbUPn0kgJuNjKRbOIzypgdwV4Gv6vn3lr6Ds1ZU5Uyvi3knHBHy3XVU8adzjMxuSztQPply5TTxFjN1WjsiXGNpL7U5aIiXYmthNiLuagv8K+4N1sC58IuBLNuQZY5uve1i74ng+MumUg+WBTwYlRY/GQV+YhVcaT3jvqHtV4MDoLBMHfHOYMM63uAROBFi93Ltkgrx9g4V+NB02WgWdwWYcnkNFCmIjz3+xKPInBnxMFHxVQ3sXzP7gDjjIkMQUSeB08J49WjNL+rTAfsp0xUPgxhwyKTN3OMkj7xNZDQigW+IoIS+pqS2w204WbMGWetXPH2UBON2VohRT2UCu4WEyUop0ppOFhYnXOJArDBa2ZsjO2K5XfaWinU80KU5FklT9v/qpXE8R/LyEPN7u19Qqnd4mge/u1+R1RpTS1f/IhvkmBw+eC9n5qs6VmKyfGeQuaQEX2s0Y2twFnl3wG46NDih7wL6dpUZfWaGXGsDxqfOvzJovgv7gX9Mni7L+9mDW8jojGlPARsqZKxJtwUew4KuvwT9LYJUM/ARiIwKu1T6qcB7BRvu8V+8sn0MxcISNHm4P+PF99gH3zwrwFMSJiHNl4bV9Ygfd04G87hBhe9R3CXYD3wm8KEkJ2Gta8DsbiJBDfxVsSpoCXTJ7t1DAV4B5fdqHCxVbwIxgN9F8r8UfmxQKfsf8ZWb7QO55wB68Z/3sKqE/fuO8SwRjcoBgZ2ZdytzCIYmmZ72SlFqEUq43pfBQBcwod5Mg5UmkHELIKCFG6vbUSZ12bXCKEsBt/r4Rf9ycZQajcviMqKyX7sHNAp6/acRtgZzkAU9kzQprp2VJets/hfOD9bPRwAUMJu/wPAdYZ63W9qNa1RX8Kj2GlwU41UMKo4/DDQ9NaEDGvFAOtwA3ACZ/4ahssDcN+ChdP+9NIQfTe2VqXBl8j4j0QwxGWZ1flLVx615WwC/dnx4TMePKaK67siDRzTk4siI0XVNXM6Nvk7r4Ww2S8LF/YYAb5nKBPYzM+VuNiOQo+T4GSteafOfxxWCAjzy6rLk7PVLwaHPnyKLyTlBoZpKGwMHvtaNxRuVH9pwlHzzDa5ZyzO5gO1+HVb3y8hdeeW56SnGQWWmQXinnDmBClA7WVURbdMpnt0HpncWE1exi+kA3sD4308uQAq9rzPnJiuNMoEWEqU1tdDV3Pyfee+odbCMk4ysvN2O7g70pCMI52M2bCtLn3gG7cCQz2lQk9DAP/t5PHQcuA9gG8h+zmntql161hnYDwYKYPRa7Oym4hBzh5zbASnPGFZDrfv38rRdNwdUbTcaMAh4MmMNcMojz7Q62+YUHDDE26QlHu9LKwBa25rxqU3PpEeE9Tr25P1EDxJVVhiSG9/MAk75X1MyktauTSG3To/nfezlY6Bl4gLkz9MpRYfCfihTJ0oT6bGaBNUY/V7TfVCwu1aoFnKHN7JE8mh8ceF4aJ0J0eM96O8rWv8BfpSPY1sn6RYP/X3Ln9uJ6N0DHcy2Ao4jeqQv/wOMpA1yv6+HTIlbilyMydWeTFMBTePmohB0yYfpH+C0dPtdctKQKt+asnBldhB9lOJq87yEuEtQvxwC/9L5y08cHnAD4em+DD3V7Vy7UMXV/Lbw/utYrYMqYFHWYXdWKBB/0oszMW4j9Rus7jdXzGANCCVL31P+xTvmfJ/CQhbo4Oo3tauRbX3z54OqCxsl4omylozobPf26S5/cLpcj1TceSS2ZxvWwWU8cl4J+euCTbar1Jo+wy7o2rkVb7i09nsbGkWaCjtOW5UhKIpJQFu3Lv+aStxWxVVsK4mBr8eAZV4jrbsW2CPeLmR/OM8d+A4RpdLBHxnicDepcGz2zYb4D1mdgw2ArWxt+90dV8MMpZksd66IZSMLt9lWXEjUD/KzYtjifqalmBy4wNkItWCyIhtspFyqoguSuoukC9qLN7CCIf3HTL2fTb1Gafl4r8WiU5OJ95o3rF4AZi3QALh+hSHblr/58adky1aV9DCfZODuHC30BbiSqEdEG6WfGw0dqkaQJ2z53bHOeHfDi71UNdpnn2xuJmivr5UG6iOSafEH8Y5ADzoTzmbpJBRjoNYt2Izvfrx0FuR1/5REJzP1++nPuC/HfUWvthK6KtmcZQ6wapbV3Fof2yaIQcH8zxzpKbimSNrcTU+fXwjPdsJnZaebWGJ1MiGGv/apNbZqj/Zy24SmWOxFZj8YFDlkk18bUN8F6c2EfSIDbptDnsv/zrM7bj3I1vfKSprAewB/O0rp4HNZFINTmK3sYfVLcYZrHvzrtomTy0QR/r6WezB0tq4M2qUNyLs/bo3R1eWKcZs6SErGkyvaPmTVNmdbnY8DhLx0BN5Ap0qKyp7nhGBlNJ0Bdd8V3Rt+p4tbj1ddWKm5qupMCn/94JEhIymxEHOAdI+R3Fz9z9+euZoD4kVc9MrVymzz4a2XwMRmZ3qOpyGzghUy9SUZ88GXOerLQyO5MzTKzbi9uDlyeVFWv4nywLcIIlm7yBfl3A9jvykU7Qj6/0H775EW4wN+27Hunyv/Y6YjBFy4OWzlpOq1/6pFjX5Qd+T7YzcqcjSvYAjx2fvFlQQrspqHnlN0OeBbHWaHCGnAmcQA79PyZr7DvRtclRj1wpLQEnAi4kP7bU2XTaAKytES58CJpdMhEi+Q/TvQA7MnUc35xhyfgEyzDCSlbZsRZaCVawRmhBPJRxgHzFf4sLc8HW99w4X2Rzt/lkM8ywImATTixpgW4x5yamYiFxsRAUuCwsFZ5XpA9cx6vmnYCKI3kFk/hPSCkgi8iPmSuuhKu9anvLRJtLIipa9Vvv6rQu0Ksmxp4Z+LijjHP59Z0YV1jiT4pqAgdjMycRHvOHDQRSxLwG/zyZdjbqAbGWluwgNFtw7TcNyF8jvH7fgUcCgmYduFSR+0h58irhs+rstB3RnVHmJdUY3OH2PJWjeA3Wl7ZoACb+gtwZw054qce/3Vuo8Q0po4agR+kqa1bRn0EfnOsgKsB2rwZXbNjOH+Lvn2aee0C4oTR9a9YcjB6m1yoA/CwBfCHlQ6oxL238E5egaPOqrg4wHtfWlU2c0K77lqnDud3xubQaMlULr5yF4c55SEJt8c8aHlmobc9vHvm/rVqW/l1ZPS1ppVqnTSc0EbwTIbZM9O+0Wt+AyzyzpHENSDa13kvFqQUkTeT/mc26VUJ+1sKuWPnLTlp5TVi+pC6TTLXv9N8Wyi28Fz3G4Z8p2JIN0Y7hv7MxbJJyMuK8mM67DZmlpoMlzAtGucVD0+UlDQIXbD96ZTfruWKHODcyYnzm0SlJ8/bzRH5uhbKBd/8Ny82Im66+rAefiff/6yH9XNNO9WrjgGvYtdjAf4VtG9VsAP82fzqfqtQZdT0IMF6HwP9dYog5ljymSK1SfPtv7lnCGnwnzG3WjN7vchWOcgu2zRcHk6RBu7BXKZbScLJ4pG9ayLVZgUpmx7ZwOWOvzYPeZxHEBPWzDk8b06T/7GOIvRkf7FV7wG9hFwcyKM0+IFp/0ePblVjbnMzF7E4xgSTkFzgOTsVfpq5m8efuTLnP5sTRF28vvTnb+7BzTZ4/Xs/WOm95H6YhxLsxWOwFyEOk7t0VHESF6vpPZ5HSJh5iWQ09RBtcYrbw972HyxOzoDMI+Lojxz5bgo8FXDFAY/82vxPBwby+bYVBYFcq4Cv7bwT5CTaT2PTw17yNklF8hScr3Jtp4wnl7wHnK8vd1xgo+vLMEVTCnmVcfxGXH3HEeBoHTrwEzc6AK/Xv/MCWiHmJ+9KW67JmzkvqJ3HtaQk2LuTz8x9kJlBqX0fMEekrG1RCo2A890hh5SAvwPAah/UlReCElwyfkjj1KkAr2KnPaY2sVLn8opRAj+341GQXnbM2j9vT3iuuRz+bOrRv2CncU5ink5Ds8jAfzM9JCJIuNEkBzv76YlswoU1Pxg8+YBngr3rLR7ORRVywF5bfozwq0YaeExoQf5MIS97+7X1aDHB57P7kUp+WJlX0v7OAaNwDrw9bh5C8IILssn63VVxJLJiOmQQg3OGdyfuG3+L05EklUhdCfgfeM1vjRmzHptqJW+lpf1K//SmB7WDQ+BzIQn6uzRaYr3eMOA8ZvZwJv5A9NAPiOFD1qFJ2fx2itCiYtyXPLwSCzCfmJ2m11VtzRupyessJTvB80qz/iMstyVd0S+xZL2XWxCDeh2XbPmC+Ew5cDQ2eJ2ZW8jtC+Q7U9eEd/naWhT4WsPMHb3ci0GmqZmHq5PymG8zyI2/Z3oHO3uSiO+bPqkAq9pZgVwhTP2szXKxhdxsLblAX4LpCkfyXhY4Vz/33+gtd+T1YLFr1c9hzfHHKQTupSUHzD+TwVuAAwvAIq/Y60E+AIw7r9Jo9fX4klFgg51/AUzYQoyjkEt0vYaWKlJX8OZp5ldmvQywNZ2xW15NrxqGHJ2yZQNr8CxdMy8WsudoehG8x5HZL55SpCsBf9F25eyWva28VPOCjO1wQv7hyGUI+I43kT5X7gX8DH43xQLiPTy3vB65z4BRPpgLBMEBv+u3ZnYNzW3IfiiJqwG9N+4L9846j7zdKd4Z211I2Dh42OrU7cHHWpLb+APzTztFpZnxGRKnRTVlz5PwbIHaEoefnnJJxNiWpDEHbLkEKuL2T5xy8N5ob6vn9tXLeQAsXOSOd5Ah84yVAja1BVPXKtw8BdgCG/UudTNbAo+u1hb2Kwnwc34vi78WZX9c6UrI1a2VC7kHjGn6TKrGQXugy3Hq8ivW/NXHQUwds5lZShlmp8JMXFrcvNtZ0gK7t9L1JMqH1IpJi62VlTDgsauxu7xPWrCDtnHJzfQTNiM+Z27zyMPLvRRmFpbnnsRUyXx+5cqvrFf7zLLXFJGu7NsNcIyKcNyfwuWOnYnnzsI5fHOp+7UOIKbYbXQyv9tVHzTSSd17b+VztktbbWiAb8CglsqVH6SQT/wOOWvY7n7tMCrXyumNVnyHkeIEoZQFKD1F0ucUA/cuvcb6fNZrciHutCirfAK+3siQt9mYBA3E7uw5X4E/GP1KkfeQw2B/BfP2pNAXwHEv26DAEX1itCG4/gCbf8scPeY9x5CrqtrGAWabhYPPAktlwH2AkVxWozWSa9N/wG9Gt6C02kXyZFMNELQoAd5CPlSE+cFaJHCVX9ybWdtj7aKOaTU2fAoyoa+AR/vcbsO9NaclT25lv9vIWFfSspdm5FSh9pFTJOtYDZDP5CnmwM2WCY+qp73ckMLU6quf/rCc41/dnqbfeRXf3YllFw2a6InJ79xWVAU//dZfECMotxLABBPKR10YDAGxryp5b6W23FRFkqdD+0wFB96mgjzE7xDLrIOz2VSwpyRqX9/10QQoTjl7NoLcAOcCnuMBvBOtXPSkjj3XpoaAStFwBPyHBKnGb6codY4FuQBPidO1bWW47dKYOJzNaRM3lrKxmTmXQN7dcN685lbclVbO8X3LDW4zNbVHxhf49z2DmEo4QipahibgFQYsL4fyWr/fgPX4qKKZ6Q9z6fBYa4bvEGM+jEa50fKvB9JBrBnF+w3iUfrilRL436MSzOjK3FnIUQq/q0I8Nb0FwBF7PKCQxORpCgKz7u8mFzZ40vZxMneM79secsY9Rc2mAvs8/eh9fV4Pz63P3v9YkMtb+T98eM9sFZzYlqXDbCmI72a290mEax1pdKLyp67nKCCOdfLb9HuegL9WqwSupOw8JjkJlwh88opdvZz6aS8ECVThW+Y8RLFkgX18cb1OjRerBE88Ut3LMX3SQEan2OhU+oCiIal3qauCdAMY+Ku01CEd1XBEMpDsz4NG6h27k3cMzH2YeqpRAt5ur1XXuMei3Si7X0tredVHHUoxcbl+uuWaeDJEiIjtUmn9npua2H7htFAtcKWNFBjiOO7TCHlNRC4s2opsUJJb/D2luGiCEPA5zkSMY6P3w60ZOAF7UOa9zlKG2sKQX41GIzrQEV1SYG+AO+8Apa2Mclyd5wS+t2MdZ01vQ/7Sm3rlHylgv5pPh4Y3D/gdgHf/eGxFBPDlpR68/zQJpcjc/9X2ALd7M7NlmU08iPeBcpUE28yxjdcTUgwoX1vauiAF5DEXlzyeCEV+Qq2tDf5q6t994Jq0sZIoZRZkmMlP+0nQyAvNuZrpHXzVA6S27za2jOmaumWvi9M4EYgbOfhgVQOvym0zZwrwqr7YlcDfxN49Zey36Yq/T4zc8KoEfD+C/flW9sXc+3zL7q8HEFVKPQGX4b+9t1InOYvlm7JDz2iXngBzQXyQghqNIyK53Tq5qw4qgpiTz4eTMP0nSQs+9c6j5M77ScNnRSpsM8dnD+tQYrHMpbOBZ2ohd7AXFr3KgN9p750FWCQGzPNPn9y3gHNt9qsGvJQ+TB1eVfi7BukuD+d17+jvI8IBZXoPsbbEsdGTNZoc3FfhEmNhn7GJkz3gLfGblwNmTe/5iErm3DxOSZZDnN9bskgj/E7cdgUsbUlktN9aCbndMTU5EHZj06sE/NLeryaboyEVkJNWvGZaF0YLnQdJQiwFfv57nxKb2aeMJnsczU/Gd2beH6I6u4thO5xCMmKeWCr235ll9IkkrH6bcAsDPwY8ojNPAP7NCi0aW2e15d0oYg43A+rF5l6u/lmO/uv+y+gwparn3znVNvwiehLLGTDSB+T15J/mCOCRyCPpYD1TG6iKS45MLG4aKkmGeebD5DVd+VQxgZ9tHDM7RUCUNrNJ4Z3eCWv/d9cWZZ6xl7T7a0GulICxU8aIVQUowkU718BHa/r5BCxtm75Abk8t7rXJyRcVbWejDUJ6wEzDzZzJdYy3Jj8AayPWKWieApFX/cYeA+/Kz/OonnN6jCWlnb7BP/f1z529qS/3cxzOs+lBzwe9UZaaS4iPnO421OKADckV4swX2GhZ9xiDT1iSJWMzLLQctlfgM/1v7GUyBLxjHXlr6h0yiOs+fCaqABtLV70z0U7ADTveoytn+pgxtcA/jQ7d5khRx2FPTp2qTmambIy1XHeuiJHeuxAHnAbemv/ecYA/2LXphdGqqJkXncJsPVL/++B4d2mRaxMle+ATPvjoJrWTK+vJWHEeUuBsKVc3wtAEOO9ifp50XDMzhxXW1vSPpXbrcRv9bzZ3uLGrAouK3R61oyYx6n1uztEDnijT+ePww5FNwJmBJxb+NxV6wghdS+BSOfclHjOPBdxPA3yowulen/88MOB/1iujr2sp51cjqM3EvJMh5JIV90TLsTQ91z0XwDWmPPYJ4M886+0vxjRpIuw3z+27RJcl5ZyJoY1pZ+av/NwlRvmafAHamY9UlZBDV3gsDzjGSwvOYkJHFceCFniuGcFk9UfaJ0cJ75tZM5HI5IzsLofMS3tPnt5vHtgpYAwd06gdYX+D2szFjiGGWsuu7KVvNEPToEW8T/aQi199HLtjRI4Svi+nZK74dDP9iyd4J0r1BDHJYNg7xKzpYJk5WuTBjWZQ35bKak3/3gNsC9Px7xXy5PnIthuqOTnS/gm+AbsHHNq5ve6kzDl8KoTNTrGPAIYLPCwR5I+ViU+vGv0N8JGvmk1fOJDnU2TrU4+A05CSOHoiK06bAM9kvNwPgCCoJvw0Xq57wJzHIHs2rlzZ+luLdc1Hv5KOXHkvF1YkNxqTHbVasXemGzVnKka7ipd37LZPWLeeP7cXXPCUIMAhXAGvnY5ph1zAO24eS4eF9kc2Nla5mvpm7zsdfucUV5QnR4hH6WHVC3yWZwL3KpxR1aOPalAoNWe2odfBunanfvmC/Oad2O4uRsBPjqfF2Njwe6Wpe676z3s+LJfGsUsWmMmWiVu6L32bG3Ba/b63tKnFujErc0WAwp9ZAzFOyy4xM+IgvtkkdfEO/C5Ke3kFrpJlvZk5/HjubV7VQbsxvO+w9m498AfEWKt0+S6zkh3gt9/3SjV6k52/r4EBgA3+V/eFQgl44Qc3xQpSuf+lisw+MgkhI9FyYKuIf2bQtHund06j38vz1q+t9pI6xBXDvNTv230mvKnqyGu/psxGFuCyZyZk1Iglw7T9qtb+TjXGx4IHwDMh9oVr5bb3NEqepTl3L5Ios7PH3pbnfAXS7CyXypneeUhsNoLvheqwt9oIbMYC3vnC8+/g1/um9yrAyLYaIcdpLsB2OR35V+5MFRGAei1vrAsdV2vSngqjA8BscyeRuWqkTmaLnhyagewk+nQ49ctKJGFeINro6Qy29+Kwicjn7CTYkw/6UDtE5o6iLJ/Bjvyy1MgFzhZQnj4x8u2De1moMDqJ3hfEO0AZ3KGit4FXDqLAJeWtqV38Km1O8qC9E7F0WYFfWlVP2HuwB52JUdrU1JVofEvP2zfltG8HZ/4WkdRCYJtbS6FW9gDfhowow2OIP8Cfvk3cpohcTgHWIlyKg5O8AUc1Nfm9BE4gI979nsEyFKrIustRAW7yvnG/bBj7fNB+a4PNw/NvjNr3U4jwycfQY+5ugW971hq4ZD6bGuXgYJE3owVqZj4abV7ek54Ot4dywH7X15zHOTusqXew07U8Ay+A/HWMs2vFkxJy2IEUKCXOdgH7gHjN32Cdn5LJr0Zc7Ca0Nlg3C0c6P1F8yTTEP8dbpIsiFfLHwfSH2XJXr+HLDr+4iywe869y9OPazLsV2m2c6S0P8Acgwh8d9jq0rTqGzxVGE/3P4xht2zxqAf8gYIYklKv/wQW/l33oNLYqgJdupNa0srGZo/fSMSsqa+txCCxGBzOz7D1zetgTJPeO9aRdwqu+nbI+eSc9unEN+BhiM8Sd+09ND281/KaL4RMVrKOyffgOSUqddELLWw2RlVvydU8EvLdcWEiGmtmBYoA7ovBB3ElS0QCnYi7sy1UOnp0O8qyQdEwNQxWqHdidLYty4a7Pa2DrGdAMvPp5XZTXKpw3P9qSnNyqcXr1+QJ/3gHGM7M69VRx8gb5/iDGBP3ob/cLUah8QJ5PmjA5ZpwnFCXVEfGV6dLFDHxGaD/jvg9YiOTPbadW7HJb46ZQB6z5h3nOFzdPi94qIR7un9tvvCa709Ci0vTtsO1HaSfw63cu7XyRUXTLgbv/V0/v1C5fsd0/s0FDTtNLbfXX07izaLj9aGIsG9TOYIeRdH51zJw6ClfO2sKMC8IM8Kv712qAI1ViO1XMuqeBPgAOiFjPPwjSIRtN7RYpUuZ1TZEspsYsG9p9ppU5dzin/NOmcb9RY7acItmTDr3OoyKIRxT84a0W+FkDb4NYOxEm3zngO3OGSQCD5fpHD3RzDPxYrqhLaVumjuxNHTPsrw1YlBIOuFsjg18GSfEDd4CdRw579Ku1OAmO32unfYAdvbNwoTX3zXzkC7HwV2PqpJ3FV2u25l27lzb/OvLe9PpI5myvJNLvp+DzfhTg81Ra2YBpxaVVF3xqGK+OYjqwXv/OrTj1Cdhr4+A+masCucRpHPDhKbeTRLBESkYmWUxAUsIri9CxGZK+ZOgbYvbM4vR6WEsn7fUu7T4tEnLBHAkhJjFxGdbdGwC//NZvAAJ8y/Otwbh3+Pk7sxa/6svlJEiUFomtOnzPLM5zlFDAcuA/PCKIeVU+vxG+M1oKeWox4L86z1y9Z0NyP4WhnQa+6VkErvn5Ou8lst+2PEQPMOeOFDoigN2ZuFgmL5tD2+p9O5QrsMpw56m4DUSswCT1/hjqD2nNEQ/nQ3W+reVANqd4mgG/3rBNooZK4HRoIAF/3Tv86yW0sAfvs2E9Mr2iiDiWxVjqkrUl1JpjziYNfP6AHXVrmDQz/3IVMIdQvmsEOdZoiiqhU2kw/fnmHSyMFf90sQWx7Zeb364UUNVh5WPVh8/K7Tc4xgnr8F524TUTOqniViixs9lKLofnn42k7QPwhWNmxkOeeWAK6ymQzTu0Sy2Iv3Freudm5SJschO25K9/paGEPQuBH/vrCVb4ZHQ+h809dzzgJNuPetA+7s3cmq1T9Rw+MXfHEGJfl155fLmKIQPm2rtHivWRftqnEZhi3Hp5bOp3ys0x3PzeIeZxeT1RRHO77RtrCxhNt+UK9qtT+LMUeElbksEOjjGzSscD3oiCU5Bdj4Ue6vFin3qOTZyvup1NzIxfNE00RHv13CZVuHSnUL326ws4w9wIpOU/nfUJ8vAAPLM3eoKlTp+H1e8UVUPt6IO0EqrGcAXcdSxZaTS1Ky7aHr/Plhx4DtgGs2jKAFMNwNgzDP5gNBteZ8vYYfdjED6oM6FTrEyt9E5E/XoSQEScBXLs9KjCLfimjlPAZpD/sBLTkQQ6xrGPS02iUww25PxoFTFC0fFnVo+dlGauRWq9eivmK/D+TWbrCg+fkAumQnByB7ztQe7quaVv3MTTlX8Tlj5YeHFzN8lSa7pLoBfAg1KjJ1BC7C0t28y8gW8mfV58mjvEicHzNL396l0CDNhv9o7e8QFBjub7hm1NH0Ai+LRg/ddtEH4nVI7Nilyu2+jE9GK0COC5uoprWAPumzpMHCVtxoCk8DaRzmJVdGfjn3PT6cVTYuBPcxNNX+lgubLj5kzTy5i5Bw/tvJh2eFSptG521iUyj5a7qe9RRbOBnPPdMOxhgY1+x5Oz+VyO5bNy8EMBFxT6804iyAkxeZ0R0cYmj8qc/yN/gMjm4jVd8whsg2LIIbI8rAlgSmKnur/zYGdhpHrgUR8kwG7ez2cKuy/7yz0XZAB+9pWOoX3SfnoM2yP90ef6ras0tVQrtvDbqfu8M8Sc1C43qat1bumnuc7NbUkrIX90RkzvexWpijioFMyCfcZX3LdrWciv2p0gzykP29M+1TISBeo4/en9eNV+Sym2eS1UcqTJWf3oyiyxjEu7Ro2XD+WDDvOmYVMCfOZehfhILTUCPw2acHmHnMnKnm1YhMvj+zZU1hIA9lohV96rgZdgk+Z+4XXv0OdRtjbrzswWNb3+V3hu+H8IcHRpVdEC/LB/cAfFxG0fbNCrKtCV88+njPlFIt9hMbkAlmmJsPeNULectVle8J3qd0vWoT3vyIubt7z3Lo01jxA7JoHAQQTw4ed2dxRzmHW+xx1l5w7qKZ+KVE8bFU4UeGlwismz7NW/em0kF4WScxUarTijKZk+6fs2Ui6HGPX7XSQviA95kYDf0KbXIgPcCjFiJBxJsOUP4CMLtSbNneXWcCIkRaI2Gl16urBeptw1GA3WcwSMDci0tkvAdOxZQRSukFyBx738S/N+qUhoJ8oydcIK8NA80cFaMZeMw9rWVLfHCNkNxU8a4zwdlvYYckeM+Km4WitnEQq1g4i8ggYaOAdBAv19Gn1sEU4L77cvvLGY/hCG/kKcajesk3kTaYexzQI87yjj6dFQRcwdTD3YwIAA00OMge+fMmfpMHBAFny6e+CfEmwX+B0hQq2G07GOfCkrkU342zfaEkiWJeN+qlvPZPcjW277FccpQh8ZB2wd8AthSWD682BdR7q2jJp9opzBui945Jbp9xOML+q83YBPxpybu28dpOiyHqzfeVJD7vKWxe0tXbWZF5KnVA+5mSng4FIVfliHEjhq88w7HHKuolMEXFxfFsjFM/jbo+T89qOhwbDbWMsbNVr/rr7kDt6cEC7S4FeXmIpi8nG49aXbbADXr7zHHgCNNR1mLw9vTuXAz4klyqg8ViwhKrILGsqBoOwKa37IhfcN3NylYws5Fx9JB88nFkRiNDVGG4/LVw3Ml2TLOYPfBxzd9BU/zOwEYk9+FekLjnQAPKESYqbUwhHv+Rtz/3rSQd+k43uI1RcWtToPScGKNgNcbAGnvnFhzz/5j+q3un+dH84fzEkgRnstZeRQQkKRqGWAIyXEJn6M2kj0ng94wGhF+Mdo6YCvvZds50qtUh557xXTRdkhUz8HnLAF/+eXfMVmlh6ubb7kgHX+wwAP7Mz/NFkt28XhdKRjY2VmHiNHxZEZjRh8T2Mf1nYOcqG/zNkbEbenkX/hkENwkCTAYRfJ2450iZfy1DPnXymTT6VlKQb+ioe3zJxbDNMiImvJXX8D+UYajUc+KpIG6EzO27ixMcTZhMLaAUcyWtjgC71XQew6pGb+kq3smpUbBn6Smxl2TuZWYiohJq2wPi+8sd/b8uMYyxY7O4iZ4ZI5j3+z3/OtUw/eh6lnqdfESllyBjscy3HKTiJxmDUvClYUF40HWOUGGMMBfHSm3c6pkf6AvGRnIryXxfS6C9g1cfulHFNn/fBKrg95vAOMaHSHsNGRDU/D4mGGLvCzlxNwdsCB/WFF95y2Q9bhf3psI/L/OyvjEFPcqp+yn/uBghybOHnZYdWct7bRKz48565G/kf+/udq4kgDf6fs866Kycx9P6uIQ26UG0KJX3H0lVFN6Qi8z+VSPv88SmubKWcrTlSamVNCoM8rd5MSNvXly7jpZMSZfFAGNsZmi6LSObEJsqzyqO1npe0veNCA3Qg7rO17Cjj3yEmRuy07iSkBLnZrhtQxuj2pBfGHJazhWMBeW9Ltgf+Gv9osp6g9pu/bL9PDIDv8r/dvlZ4qEifnn6ZX1aE2WfZO6x4j+13y0jkifwXOC/zhcc0tdRUhGEqPLpCLD5WYv3iEH6zQFXwnA5z2Ovv6qoF38JVvTiL0aJDZ9Yqfsm+/II4emiI0c+l7HmV3xtSusdSl6fEXxMOVmn7zoD3URgfVJh+ZWEL4jmvO9blxFsBcE1KWLEv31e8AsRe4KnUgnrLlWtKkr3oGOJCbeahzraeAd6VXOuo7D7d5isgeO7eN0bpX1u6uWHslAu2JBi4ZobUWm5WFyZ6s6J0WbS/O804g8qrtcYHZhOmwDRsz2ygkHzja2ccIMHPH82P+5064D/nkstLo5kHOX0shHcK2fc2SllvWBrhvBJhknzvJBBy1zZHe0UC9KXvS5bCxT8Pj946eRO2XoAngCpmrPluoqXMt2gJsPKtHv6xRUgqRXCEvFsTWzxRQV5kD14nNOZy1GvyPjaZLrIz254M950sdtgtjLU0Fej84+FUf5UOcyQF3b9LBKHf5h2wFbmWT8eB+bmjghznyGaflkncqYcxmtTMNMiRPiOuYMQb2lHokDAGH+1YKb2zq7wBL3bmtyrzQb1TLV1/2G0HtBOsIdtO+g189apcQovWsRGszl7zBc++PAqN8sC98mJfKWg4mrysNOVKQoHH0A+Lf5uBoDXaTwr6+0aJ/wHuuDcRQg3te5xsyyha+AoeP5TntdJhR/0g5GTHC5p5/l1LUA2ZnJw3YJ2pvKno4dYFsKab73tqeAcdLEW2/FMKX2k6KPPb9xlU+1ezZOPxBafvCUYBrvG9YD5kxWBKAw3xNliPb5tzMVKKIN7Gf4VCyTH8+8sJ/ppCLaZx8nAqJTzoFvqRNLfqqgt4SgF1gb7+opXNTH4yphM+j11nlf7qb22cjtstPD3dodDZJW47tOS/wI9cIMbNWxeTIQH+nMboB7kuBo0wQ/39mE/AivAvUPMEKvhSzCdMyboD3wAJ9l5y88DyuWPsGMW6X6eSu3ucDYLWABwDdGXvAfydpVzrliFLAQw/ANpes15PoTU/lY2mcGaUhkaZ2qOJ/74AlgOfrSLoI1SvCTZF8k+A3Hl6rOF3Lkfzry+XJHQft/zH1dV2K6s7XX4kX6TVeDkJAlNiEvEDugLAaJSCttCKf/qn0+Tn/52LWWWumjy2hatfeSWUXxb3x71vKyvYH2esPodGUm1kalL0w983dgpJAnJb2tK8CDXiBSsVAe6/+qNbshld/Am5i47XbSxu9MSpkhTq1mntVhAHp7s9cbOHdAcFl3DH+vaqQI7VDiIU/Vo66jnKUZzQDrtavxLF/5wTS2O/F7z5YckoHZBnv3XTsvjkLn63O3s91N9pOBOqQgu7CBb9T5HNjQtVY00kweS2p9NXA8eF13+RMgb7dAncJb2nYxcrGOxwqAfluesOMJ+EPphrekZpz0MDA6wZ6+T9/ANbbdxyEFnOmiq5kZ3z1IDZT3v/ZVFwNJErdg6OArWyNcyxo9XkD/O2ZanxKjY8ue1r4NWuRz488ZA9lJ9818CCzVwvrfuT031kAyUfuM4ZWMnKoG83N+PHB97kaT5KabSkBvCxdOf5vDpbBjqy94FPZc050Mp8CwF4LsF3ra1WAznGR8ft3cCytU6EvwLnffSlj5dhmX/Qghf1dnef/vIKEt5QFOdSiewHPn3LQIawgIeu3D9LLj3yA/EW8wBZPpBu6eEgSxq8v0CGnrGcuLfwHHv2Uo34DuumNh2E1QuyFXxbTSZxd1K22dVnR8lZHoEVtxU3fGYtBI2i2cDR9gpYnKZIe/KYERyHonxT4kFepODH3uoO09wQvtEVdv0/Z9Ou1+X4u2nc550kOeuVcF2QGXRcBWSiY0DcuFKPjlAgGGgXiuio6DvoM4+hqKTEFmWVZKjb3fUFb0M6RYePV+YxAX16JC5rmIj9Ykbx7Ar/b3fan1t0g4YFlgH7q0fS9XGGtAautJJdruFCkWW37a737s8Dv7XHAPay7T0Kxc3TmU+ZCnd6BZhAlxEbjkvjqZiMZKjO3If43Xy9LGUaCeTorlCXgZ1Lr6ZwYnkHD7SEG7FO+vStLgxbAy8Et3XTtrYPF9cn0xJiZFQ7209AGlZ1caKEGFZIypXgAPlxI+N2lSN49Fba0k52ytj889j8Is8fDa4b1n+zUAj3GdC9FkrJoiYFrf5JYv6jgn8AvzPzoBA9bURX8wsJuZo5yS4vsm8iTGZ+ugDvn2tzdsZN3Tdkwa3uXu+2eM2tzKr6cE9cWiyXw+9DchvOgdkmoSd/1AHyQZV6mp4KZvUTgne2glspmz6xXpxOfznjdP2tmAW5g+7850w3kt/+vhxM4+Yfst0XTm/nsXlhr3yPD15ONUIMsfif93uTxmgYdaA9pZixQiB9QdlrUhmvE+CZXnovBfql+4zG0f7I1fAK2MtlPr2z9p/W6hk2v3OYd1MKuHXjSBBybGYw0siPg0ivwgD1dyyesRZW7aC8jbEPNcdkwMwhgqJ/z1KKOiACDrppjHmC/uZQbZf9dlTAzkTf/+sxJnJDGIVBv0hcblrBkIKX6zGiePrXMPV7gPlo7XEhJ7ckSPXB4NPkt0nfAllv6Mh5jaEit/ZKGk5b5PLfCw3nk2QR0OXPZ259tcwogYn/nd/WPVk9lauOcFskFqs41D2f4TOO1aDSYPGSjFsROxtTsI19UWJt+4fN9o6AiGK/hgwO1YZQPbHcL4eqeRtM3tfF7z6GH+pPgCyxuON0oYDnkqJlvem0j0DoRBx2AhqMjjyIimbz4K4vkBjhVQCAfiKs/m0FB/U464K6gWbQDHAHqEKy383vX4dJw+farBAybr/BvHxRQVq1fxhPyo+nvpg9oKkG7cep/V6s5X5KDChJdj3+dVCw/eMgeIvAvqa2vUAVy4zet3KTKhu1RonDDzT0pl7mY2W8O4FLQ6g3vLHMmzPh+AR0KPBoP4tIdqViu8HlRfdG+8fJXZs/HOJm6nAPXX7GevFIDiy/4UP96c3CzJyXMkRzTZPmvbsv3vQCROX+AZ3aPPJCfjSNdKrYZjmyL9PMP7ueCR2RStkbSkgHUb4LHv6+KzQW2Vdr04U26Kj8CHrQXdBbc//VBooPW3AYOx0uXMe/N5080SGaKOiTjq1PZRADX4rjolsblkQhncyZvNc71lv/OxtsK0NEr6I01Pc9DHXSApaGTI+kAvk9S8FslEMoZ+iDRAhGjE57P716sImcEkSKZZbhFlatBDzNXUWSno3ZrDXlpPSFW8U9bdDmFV6Au8pNFe6+JtksF2J/xrjo4vdVovCMDSGexvQoBvMpVSQ4aAqPuf/69dysr8CE3p8QcOBAnN9DadumqMwlt0AM96OuuP9rqBHKSMeMzon1yAq3MrKRokK5EOHmVM/kUtGvqkqdEpGfAUWqH7KDeG0303p/HHHg4XlVHePdifRdmQNDEiA6N8c8I7ZEX/cr6KUqBJTDQqNlgR1X4hHVrADtJii8657a+keF646O2JWI3iOUdCZc7vnSgg//1wBzo+c/j6Mo+G1DUCv5qeq/LVr6oYbYq40EkdAxrdU/F7DXh3vg3Bq3oAiHsB0doU1JeNuwONTOFKuZvQNduWGg7NO6NR8Fd6P69p/dSoXw0oD1aqF/AkiLI05/61+f9dwaD4Sn2wfK8mimIL/Vsep1APCYp57bxrmYigZckU9GbGTd8UxufXfevU63qURYp6LDpXVOY6onPrL3VhJpU0bIH7f8EjLNaZGZQd0cx9I6yPJIKEvGeQHL7J9wj0MJEAl6hKuodw6lTrt0SeC+zphB0lW/8eNIQf5zC953i+Qz1D+okcO8AzXL144bijxrqHXB3cwf1CfXvg4W/+PJqCv4we7DAT+/A72dAGjOvLpd2+gDutwMeLLIeH6vYf7SBf6A2YEDo+e+9r5b6E9P8klsdkwgt5TBfIQuGbNVTTk2PoE0qjTOji/mgYwZcHrDSwmezF9adyQXYI8STinFZu/wJvO3YsC1R8FVBsJT5mL15rws4cwXMnoCz37K1cRhSSdWnN+X6CbyzqwQMqH736JNKGB4P3CU12m/gQ25Jv4mWVdqgjQd1qPv5IYblebRkmF30BBgJ6728/bFzGX1BPc1uin0BD4N6RdWQu0l6QiFgJMIE3hGxbNBwcl+NKDYzhU6ILBQ0FDV9XSvk2ThtUmfxAUc+iOaZdKHGDOiTW+hD9Pd3zP+Ug4Sa8ccrXV7mVvmQIzb7QlDlepvHoKnWvUWHP4/0Ihfg/Ad+aTzMUyCcRpdcH0fjn4H8n8qZXeBIYXVpnnLgs3QaqMtdAjH0Pq+0aMQDwZMR/v2AVzMrcC6q/M+jHc0cs68HrJXGtFl4gQQH9pkDn+dMArIDH+NdIbU+YRt3uS13okh6PE6dQNmjgvhpe4DGCL9xgwEH/MjD5+O0mxnwKHgbqqqH2asHXjCIhcxZrlBHfmAtPUZxVFmb14lDDS/+goaUFeSlQwOctQG5id3dk05pfCeGJpZeWQBPj/7ti27MpTAcoihjS5FxPdbWF+T95oEviU1NX4U133nBTR9KQUGblLaZ2a0+MrHd0CH5zEPOUjE9KgG8LZzcyulM/yvlTHnEaNlIXv6vp8KyqbkPHZLPdsCkWQlOI4xzN4Pvb85gcQc16QXYaNeBP6u+25QOPhO321TwnmVoZnVP3/Xq32uxdZWpk8xaMcUVIBHNBu/d0x4Q+L0V9+eW6ZQCL6p6yJXCP+QxKYVOVxrOp8ZO8sqSB8XlBriWna6NS6GO5QxLNnQ0d/2ytlSOzT2VEaNmIN/0giYMmJTTf73618Z6Lq3xaOb4Bvh7A724tsMs6l8vP+CfhTnjli7k3ZBdmlfZm/llpFfAbTjSK7fsC4s8T1BmY9TbkncfubNZRZ94qkAUdN07NjjkupvGmdlDHWpne4K8vgjWPQEvLNMjxkbfzGCXgFMFFUnEY/aqXemlxtfd6q2Taa8wfv4WKDLH9LfZFaXJIIr0BbmTHGz/7SFpEz7FpQNrs/vjKYcMhBLCLnyqdHL9zwP+DvUhdBvgMHUE2BHwuYqJOXv5JpfwZnwPzZ1MhdLH0cwEvSRDe1G6ye+/8wzbaP7n35uG3q2KkymNtqc8VqLk/dP0UJWAvXmMPnKNoabPura0UeZJaoeLjDMvZ2bq2f5WDemmYZ3FCr1UYwrfVj7hHXQ4Sm4ZR5/U6d7+Ud9lH77ai96AhvlsRDKb+7FHBzsQd0/seIngaAR++MOomcNAfvsxCNQgM/OgjfE3sRbAWDJQiCg8AqtCkoAufTY299vQOxGa/JsNV4PSksN2rAp1ygaNOEebowN5CdqX8ukG+kFkF3SsQQMbP2TZSzvTGBHkh6doDkmQQE21PxmXfSsWwFf4vqM/l4Nl9hgvou/ePdIbzlVRB7xvQm9XW5yIuNOg/32IY+PvCr8TtGOBefWf3yvUaWIDT7axrTfqogVoF3OGuVE0maC6pG0+f4BOP3MXOEj/Z2lC+z1bx5zHvGgMGRzqA3ASC/dAlAquM87NjJs+ddK1jUKLrbI0Z4Kgs8bGzK9wUQL/fTQC1n/Y32rx51U7iNRI7mBtRtYnaeZCjJ3/vHEe1xRJGZMwA3WeAQuqBbGqCK/GWzujypy1oDZE1Nybr9fM4yE5pdZs+jqOgOMn0CMEMDRPR3mhof1BCnXhDkl51Nh1b/aw/t3/erVB+AROYAEXcMTQmX5xB/TGqKKZAK9caqsjFGG3Gfolj/GhunSgZZORjOYcjt+Y1T0z68vFw32FmDexMwO/N94tGjTGg1vyzbE74I626tHZzIQVnAAqoRDi5K44aADQFYz612z1c2a8rm39zHUGlSfbmJrP+uvSICypZc6HybMCjfjf3JKtkw5JVYIGa0T39v1eTgXwIKTtst+8DmuyVBcZEeBnrTZ+c8r+nccR2VXF9SN3oQaIp3Nwlaxd07e/7UTvAVfY5ic2z1hsVwl8rO3vLh6TkxD8Jxum9x0E4/5m44sPUQwcx5IIYiqpe3TiXHZZgfoT14Lx7iSL5sl6vTc+8cAFf8gwx5WwD8ApvnMbP/NhOeMeP5nLbwTpuIk6p4r4PnPk/86/7muNJqixy0vxENZaccH0rRx0wGNdZEaPaHKoXIJarqAwNysv9HdddDMR6ErYtONmnxZ0KgnnI3a2Zt0FcKgfZm0JMXcb+L/9+WPLeIo5Ckt49xmXXj6ioOrxnrHtB4v/4/41B57qTPe82L/akJ8gjn595atwqUTMM+AhCDjNQwgFfNjsPQMXdX27FBPN8+17z3zh/dfaCtvci33lL6gxI3uxcb9g1lElnnY+IOAw3UaKeVYC+D9VIFg70TKvI1GX88jMk9k+lMYVF0uRosYijh4bbuYxEA5a619fCo4mF4Ia3sO0YRe9E2x7oPFf0BwIavLXrSnIUJo5LaAPcYQ/KSOlOm8fp3Bv1atcSrHcSyvzAMd4SyXLETDlSwKVCX+WvT3z0H7vVZLSQoPpnSpB66QisUm8h8+RoE+WBfQaB1VlfGpgjcgzXeVIre4q+NXGlF/rS3kDjZPT/s9T9V+P2tr2wCV2LCI+5oB1g7Iwmt79h3HucJ+DFmlG5B0d+9IMdin7zaMeFiEjBnwUHwhVkyp62/hCyyG1Vbi95Jrc0nCOqiJb8+EJP/f3RiN7ra1Fs6AbW/21gm65pAN5+0dtyn5r5uN5ajC6MMlo7N9Jr6+kRwkGLsJdIvBuDhlbXnhNrJLqvLnoHkPNT2n6ouF0z17zD6jsDXBJjlHiEsjQSjRrHZKuCtT7HBblxderOW8B6SVwe/JxcEob8PLRor9rHnzd8vC3vwXwr1yPbpemzhP0Bq7oiq+5iwXoFNz2fzbM1pS5f1+ZxRZ2ScLaMroG3Tjt3r09YaZB7/Z/1sbWs/HtwBfew3f/AQ7B2rgb6xH0/2ALYeZMG78G0Ft1tHfywcxXTCbQ6N8NJwRwe6lf86sKvryT4dyWPjBg6erfHNU5r3sP+Jy3Z70H39V/nn5nz+okFfZRgo6AqkhK40HIiG4u6BOixas5wbLvjlInXW6BJgSVd8q3FQ9kDu95KntEGt1scub1oIff/javU9FdSkvPlZijnEqrehlsBwq/ooXaCFVx/8CuDECTEBnwS62VlkFvY/H1YmH3XfVsQwt8pLu7fXQ2Zn/Qk4I72Xlbmn4XiP83P7wbb3xRTLak/ED6zuwpeL97bpff+61rPUhHgLY7FfIhAnwArXyBOGN4WIJqRba0pxT063Qwc8svX8BbtFfHwBMDqINFJw/2vzMpXYLGOTrGk0FNdZ9aNNy4VJDvbPxrAQ9ajG9zJUyP5FTgwfRHLTQXXgbwaeLO9I1yYKX3GriO0LokY3crdfOkl70roK7kIX7vYxfEJvtqAL0XdifIh58qkMcW4WM22Da/7F+A0hPw/F3KyZExPEK8Hcw9sdRCjFNM6lCNEAcpHeEZnSkQSO658PYV8IM6B45gqXcuv5jdw7tOAuM9zIbkB1b6VortuQkkrYX9bPgkobZe6zXpCWhhbmaqFNzM1CjLka3wHjsVNI6Z1dD0MmmMf+hFSW4nburgAjD/Pdv0mYFGySy9J6K/UdSdKGIWj+T30b16eJC7U5wt8D1mWP/PU6C6w8pcXGRLuio/YwmqeGJmRJA60k8VgmbiCQJ+k7dclvzCS2rLf16L5Yh/0pEtbTSdFNt+KyoPoHk8UhhtCvrIzBAETXEK/A8yXF8lbzzeA24Nesl74Ekj2VW2nHLW5ZJmN3OnVo2+8eH5ri7ATyz1fq6icvQuZ/y7Dp83GqsUOMzmRDvQAPebDL7Wo5Pe8GsLz5Q+pL56pa1dEeGHivc3EktahRowGGqOjWYGvJqI7Ywt79BES0ocFGObvPnGpTGzoXTjpJfuJMLyxlb0Y85+QJfu5dp9mL23/NcfU9+ZOd9asXdYsXuwFqxG1FfB3xdxmqd5p6X4Y3r3ueGxSmSPE+h3TNE/nCeR/kzh+9c96BNmPDPmQzNsfWl1jxMi0wk1TjuoCPLHcO99GgJmrmh/iuTMLv0Tg2ZKEXABlggZ9q886l/tCHzqvAVgWxbsvv2x71ZaXJdW7y1zF15BntNBPijrHOCfy+H151GZ+aC6y0AV+KDwngrwkwrkMCqjFjCbUC6Ay42grXATJxXw+TIt1Ew0mjjCHRu79932K8R2oXquQYNsOOp25UjO8P/1GTx7Zs3XivWbFgitMGcnyPfb8cs9uL9+AjbtNbwXyGtnf2sL5uZj8krP24r2X26FOo9b7GlmQ7z7iPCwnWqbPDLHAxCGB+iTE4kg3wbpyYsK2wFtoH6IskgugqqfjBlPFXMfPnw1rpk/i/LcSnIB3BXqjZl7xlJHThlbiBSyyNwu/tfbEy0304tp7hqDNt6pkcc1527d2yZHeGNtjSdMADrmpSw9Cj1dARcHExNHRyeKwfMzk7/dHUMs8wtCGZWPZvVj4JUlE/O/eQGK2SgTjcNGknCLG2+OqCw6WxT+w8xclwF+wGeFeYTPTbjN+chtNpA76HXj9TVUDr+loEMr+H3mHohAjUfWvxvOSCI0GgAZ3s9lZdbeg/e+JwXanfgUcutu5RC36QUdmjW5l3yKFFd7qE2nKvAZ6JlURp6f2omZz+FSijKppxfgj1uJu3dwZpxSecqj60OyrivHf7z3dWLhU4TYFeEUEKc7sn7a1Rf4/wo/zGwuAGejvEfH3OmKNPBXAllSMqmbsNwA1h2xVrZcQdsi1acjH8R5m0Fsm/lajMR+n43/7sJ8AOdbjadYzpaKcL7HDrpBDDzMbG3goOY8PW8cnZemTyUiWTqqfZtvZfO6e6nLEyW8b6pJTIXpN03Cg/FyGVGFzSn4688vD3tzmzTuToC1ezFeV9w3D+bYEWd3i0Ac5TE/Y6fL8nGaMYK/0Cpuw+Z2WPvX0Z72EAd3dvlrvJuCZjd/HK1swzWgZeBngjUe1LYItOf73GEQhfwBLvooV1Q0XO7aoN9U1mzW+0aD9JYy4GHc1GbQnRAMagR0FuqYsQ5Uly1BkVrlxa+InUxCSE0tvDuY2dUBOZs7qor/m3tr5lgZ/+sU3sOavmZHCHNajr6BJ3yrUPr5kK4CcORoyVT9eiI0NsTCI12xA/X/BNjolJbnEObd20hZMsTXdEyo6O+basADdfn7vvnvvezf+ebO3sUrPzRiuUln+QZOm9B+CjjdP5mQ6YnLx8HpJuBxcTbiM7MSnjsyIwx/pxH3a/13rbm6tYJkgPUOGbm5J7hrh+Z9FuA0wFMyV73IeQa2nhwgBr9xnIxKJBfqLCHIJYfEvKiZNt7mgfGxzUbgQVGyM3PagScW3JZ30evqaPsStOVszvigTp7rcFno8OfNN2g2hjfGpu8WqUN+0WNqGW8h0CmDWkk/m1kcPxlVAVv1Ob9ArS2mcxOToo3RmYv7Umt+Eog9GdWLiLYfaaQw7vdrQzltC9NrjN99laZmAHvGnMbhymO04yg5KbdDDcegMuyQCnxg5zmrbIiqmKeAH4+UG5GnSjkap7gpxwG+MJ2QfCBrHS1LG3pTG7AX6Ks9oMZ7/rKjxHZpLvA5/fxzXLvD0U1Nr+hQ9duToAg0jkfEwL8FQyMN+jWPpzNo7nNN+XcVX23AHAf0mNuy0KLiCj9MbDHunzXN3Oayv6WWHv5phzF7CCrP9coeoDeKd3+ouVODnWUD2Afi3HN+fenG8sVEeYP889KL/oZ6diZrEqfDVBE34bBuHDCf5rZEgOldxRU1df9dv/hKyoPl8bKXR6MrjP8dC2ctNPCvwP+sVn9OA3JRw7wSjW+t/sXJV+4mp5L2K3AYi1okpyzZlNbyA++IyGHmbYDPOeRj6v6bk3WvHXsPWquqQG8SqEWgVQv4TonivceMdyzVJbfVzF0dA/cETv31AAxyONRUxby8YVtcDX8cZuOA0WSDub7m4Z8HCfwetEie8/Qdh0/RS6gOiYQYm9Nh20PNxul5tg8WjmsbCLWF4V1tf+QF8H31Q9onUDumnew1fG3pCdD9wFH7fPy71KDNVcwxY/a3iHVnbnvy6N/9lDspcPSby8B9QFPu+bB3G6hRlUB5E5j5LQlSrzlS7PoE/RwTThjtZc4vKscaeGLP7TpQNjlv77n7d8k0z0CTC9DeRaq58T14n5vjbFC3au0gx4hfUuWY2SUVxT9yZzx49Y0bFc4IzX/vvaXApWygyIlI3XCjYuBR/QLRg44inro0Tu4paHZ16XQeKZuZu13O9r0vulbjX7tykxn/8nPQv6z7TO3OamIe58jcbeFZrpHFhxmqxNYuC1UorSfgIGcVYJTu5ntjJ2EaYOOVoOvRzITbOI3VRcoxPn7TOzaqPFrulbnzEXdrGqRrGivTlzVkrp6P9pedh1+AB8qXMfIzqEU07mQuFpEjtraXbIG/A67FaWNnr7zXKO3TteTkAhoUq4CvqsDvfpsK6NgZOHNkzisIZHZjdIFt9nf/ml2rqhzmc47MjLMtki7UK8vMnkBZbaOh7ZMAMPMhne3PwVIphupKBklBPyyZg1fqgOYKt29tfspWbLwproSqT67VGa9/LVjvia8Z8A5Ocwcw1/SBGl8Oa5tm4v7MdJeTYRtXNrarAuJPo1O1EpkNkxTD3NNw/jT9Vqzovpme3tzGTiPL5Q4aOGhESYnPHfuDuftNyvZQ85dVCaLz3ragPvKDjdds1LuS613Tbx3pYkpjMwFdL8RSFkFJn11Qn+62eyxkXFH53YThO+b3BCHMLvLMV31twsYx++/GE6jk3U/pys/MgTriXJ3s4l8puwLXnDb1YF9T4Mi1QxBhU5Da+EOJr0caA9aLLkj7ra4YdhnqOhV67/PKE3fuC18xg/fJWzF9A4fpqBWCBlgmMZoZGJ3dxknSmFmlMX41qAQOyIGVS9HCWkLdusk+syT8bGbDu3R0APGzyy69JRGsF/vHsYvSIW7eTw8ZfS1N3z1V9HyxkMcMcLqy7B7isawjO0p5b/IV4vhqC40r42cNfHknAmV8Qj9L2/9Jh/ApQ5nnkfeqLa0x5EYV/vPgupesW6QrV8mWn2b0UV3IpdSJC/rnCRy9TF2dtwLf84v6boMuSp35hznJDxvlJ9Y+rD8HzqtHZj1ttUq3HJYPTPWEHeKdwi5sg3/PZfJb4tDbN9pfMsEzEZCIIRRl4vpSTBmf6x/QDWUp5Aa+z4bxyTEerOn5z7Oy+o0Q8099wR6zmSPDLcThdpZjR3IXlydKTunA37rSKdndPgUYQ53N8pCfFC2tnHY+DZePVvt22QPvYiC5QVOkoC2ptQHtrkIxohsVOqaONP4Va2N6GBzjp49wHYQ28CCRUeKZGaNvjk0FcZWA72hPO4K6BXQXJjHKzKyvOvZn4HCgk7EuC98iIz6ZOT4tSnQLoayYOcMnHgaeIsU0HW3TkyAvUCs+cuDXwPu6UqP+3b9BhE2aYlqIkIYvUKhfwFyUV9ndZ57PCPfbXJiz3sizRbRUMk4sOvpRLroj8P9EcrzLOAcdADxlmOKa2ZsadYdSX53U0TfQIe+zm30KerlysfE+r3DknaiYDhArRcu8jzxAngh80M04B7JUSZbMOdQUqMmf6UhWikw/ttHt6gc4j5mB8Pivj3beQQ5b7UWilpN3n57D496t43Ax573UVkEFmlJG+E4EVJMQpFlQrpnD4TPSFzzvyl2OgNM8gAGdgAttVJTa8vzHOoVX+KLkLmJiA74wOXCfBfJxEuUbe8+t2FIzO0HGvpWvzU1y9MOC7qehcqpBjzaxHs39RBZf1xPlM2HzR3XBr3LQbhuAbokmYGwywcKTqfv1JOYMn+ORC/ugxN7Cjv2OjQesSVaBjqJUnerw64n1VLJ8O+FQ+5Vzt5iFq3y4O5VGnTSzeZBcuegtfklEhQBrI+P9l3DQXA+IEdDHEy0HzxIXZHpLEI7l+1wvBpzrhe6Mb8pnHnVShk9PuVNOhIbc0pt6nHoxoJti7Cl7+WrNbIphm1fhVmer9PL+vjYOfx2tiYsAeIOD7/yCBeulrCNC2ujPGw9DxsqXmevERsgZau7K+R0WRKTMs0quzFlLlfNpoNF8SYW9SKirGcNTbsNDQf42tj6RMHzS3maQT+bu9UtcSrexe1fEeFUxeufyRHQicnPa0pdWzf7YkvUWjbZLGhOo58lZjmZWESF0eL5aLXMm9AHyDZciu5n7gzRCO6GTB47ICNgc1lS+2IAKjBDDF/XROMm7fu0aM9tqsI9tkJwA63bm7rsU2Kr5Xztl2z69pC8VqJcydVtsM9A12X++gKiobQ56QNklMz6qgGPcLxozU01L0MRaQJA8RfzP4y7MCuMJj3F2AX1LM0cg3IEKrUiodzjMViHwK+v5gVkcmZmlArS4iPZG28A7/nrl4Xw1k4bbmJSltXHqnocC5G7JFtRGpaWAq7/PHczd85ZCzQsTt+rVNRVTIpEaSzMnGakIalFizrFUdN+oYelIhM4p1AUVmVnmCnRHugDeI/gcT1kL8FcOOZBYjVYH4O2uYPY7lwMh0HfKQNv03fXgbI/wnfI65FXGfnsH72m/hAe7N36PEjvXpyrgffYE+EJo5xwdaTj5fEgAU7OlslOL8MkF/uFX3L9Bpap4uH3fCwgO1rQD/frghX/H637NmJzFJdHYxfBxXtWE26rmyfzLq4ruzEZzzger/toOPEiNN+6mYvPvPNk09FAa41vmyDlzOj8v0CPt33p5zk9MP1SQmDulHyXEv3T4R3bBCfDyvom/gNPgXIgFNxbwVifzGqj5laWhhnIm4+lOWbbA91+NH0bbd5sm5JfG7MuE8sqh+sA6v3s4g3rUC+vtEd4pcAPgy/3dJe4E2pIQ4GBeGiRPw22B1xLTyAscbqmK7KGgdjOGu5xxvwSOkVEJFQ54NZM8tftbk99tQv0Q6l755vOEbTVdSQoc8MFsdCM2qpg9nSHvd3XYecQG7LOwaMZ0yVd/AV62CjP3Cd5HHvagB+dDxSA2B9CgYtqkERDY0Xh+oHON+GzOZt+6UlrepuaAq8weKU8+IP8GFWlX9d4thRxIC9ID5kP8oyXrtwsOeN5c/FhF3d1oyTIHHSASUVIMiDy/OOB3k88Z7TXgsH6ZOVTvPb0m1A8KellAXJVDd4M6hCDuHMrsmDvA8yLcpcVUKKs7ZwJ4oN0hSTPvuCb4aJs7s4DdbndlsSY8NndqGgtbvYcD2XG7CzKB3vcdBmrrj/o873mU3bCYH+TCYwq1FxiRJQftnKjy64J8kEAyau5wImLum4OeNGelPAPOoTmgXzugpQbtLi7agVwg8IweG+y0iac3j4I6RD6FIGt6ge9CVWrmAEKV/uQr5zKaC8P/Ds4fp7Z/959BkXQQ29tPiJMR953xIIJap8uGfzlM4yOz5jwDfnV8bb+rXw+1917l/QU6uGC7PzcalxvjQdfutvdKkzkHCcovGeCg55/CbZIVJMPIaM7yIUEfnyhwcpBJoNmRCPB34+hNK9A+4wg1tONpb3/UXDMQuu9ZLSse8PC7LyyWM9RtXbtkblb/LvvpBvr/k4hmwy2E6hAJ4LwOaD3OCiKr1zxRN8lYiJ98JT8E8LSFuILncaTxcgctLW01Hd3pncvZ0ZXAA8mYCV22l/AGivh4dEPAxm2AV2TuPn83oNhA393JMBPOElYJ+YRcQCnER6m7PRvRiY4I4ujp1sHeMfMmS2u5lWu3rwV5e4tBjs+biu+fpeNda4ucSntaUqSCFGoDWXVFrKTLg24D+rUAPb4yES6nglQVN/e3k52M7BiwAHRR8gBMjXODMU76qC/kUFreUfF/XtzmHrw5N3zlbn9jo/5kOolqZ387OpsbcbsjA55cDvxTUszrwC+xmb1R9At1p4/S+bNAvAcsmkei/V7Rbl/B2tSB4SrPRRacUle9+aGNIVel8W8BbsPtrxu1f+eCw+/yqmponpxZ68n0h4bcBt1tAWezAA9puvoHVZBcOrPxVtyBPvaw4APUnTuP/24OLtRzh5xTa3n3VKTAjT4M/89jHLf0r9ca7zXHNp6oIY2zG6Hk08wcMzOqaQQ5+7s/pfI0WjIeIh+07FQhtT9YZDnFKjuFOmlFAriRbaSNfWb9mzV2JwVZm/5+A44YHq3ONTc6yxWf2v7X3+L37mDDZNcATxD99N9+iM3hCb2Qh2zDQuT+zigfpqRl9s3MHy2tLc9Y+uT2NJdj9767dKjy+bss9KN21Ax1/3gE3G1GtFORuoKGt1PQikqENuhiQixp1y6fWniuytx9ZCQ2cycBf08tUt/MTYpSbF9VAXhaTHsRdpY5d3nXr4YC57lgWFdYJ/jeTTRj4F2D4pOZVf5DQ7WhQr7w677kgZ9QN1sAv9dyMPvIC6pdwCYXmxn2VWY9rXZQSWYT0MUd6CZyzSOp/y+XG+BoS172i8Mt4LsxQWk4D8AbF4amE/zWTR0tHbuosBREN8arffQL4A306CZ96jzt2uw9Ma/MV77Pzd47VRZmnW/meqXo7el0N+dYKy2mEcfAKRGQusD40CFgO4gy0NHmPivw84VDPgBX/J3VXjr8TJk6UzSdKVRX4CwWRaTKxezXFvcbW05QnwIaJh4V/+5li9SZjF9ED9zryYVGwOEmrMmiCn8y88mB9xaVnYCuTG8pN56G6lpaXSj7xYZad05X7QrQiKDbrzjAaQ4cwdSAhnX7ozOFUrz9vu7vXqsz4KeTIk2buF9EIS0S/lm5JbsT29qSojPoF+NsA5yQHBqDYzZbUtC9Ik4uDTPY2F3ai3+C9wHcdvalcdW+pCthy3uW+qZmlqsugHlu4tUMl5C7Tr1qREGN5FYC3BITOWAzgzQEHmxJLkGH+hZonk2p5QejypydOQdnOde9923u0HArdYn1BE6ReJl499vcXe4snIbanJ2LzJn9jLGljXEAWrhoKSiQcH9rBQ6Ag784qBvZP22oSfB+0k0LdYOE6IPSLmOrf6XxdXO07AvEsaSc9JTpXcaWN84fcwe4ss3juvCXUmurNnOVaPLJoynGti+zfp5T43MbINT2c89ffzY51H3M+a5FoIpes1njsnLV8SSMb5OX1IXyaaw6eP2S9Nb7jAP0qZekYUJygYImTDJR6JW6GuIDecZLFeqnmaWJWE++sS03JYgf5QA/iUyXr7e2Mf9JmRrTCIXmbp6JUxntHyJKMjz0LxziNz/sZJBcTsDiKht9M4EObNBHwn2dx7xMo+2VRFsBn6cZYDzhfIF6tmdF+qqo8ci8Lm2hOhqlXgb6LRPkDHkftyj5rHf3RcRqUdb93dPuqZCTdpRnyH3QoxNpXOlCjQZ9yTct+tUNtC74mYy+mdcRNL97CnwDfCwXnEPdRozHZk4povA7TK9OnjvegzroAT8/mjt6b63HHbvLLBzjoRtSpg+0n0+ngn+ri/JKB7TbyKccOGVN0U/ubPtTuH9CTHpVQPyGyxusewUcdQW+Y2VrkmVMUWwrLx8yB8M6HSwevJ+rzreblmXewUVpPpg5ItjPeHnLgSMdVxQS4D0n1G+YRg6J1KhWDdwwXLGlTH4suaVPqfAcqEsbWjC3EcCJOPpoafIibrkpbf3uWwbMNTNBSN8CT8ijpOCujEy/vxLyg8eTNrP/cNGZWYaTNP1RwdejNbN4Yv7x330j9Z0X+lQ7tiM0SUo72WOWuiWFGGXyR1r4XVM2yuFBA6t6dJtN1WvKdnfvBLGGLfmZ9V12dLY5220dMV4foHVPoLbN/KgncTPgk3wPuVfwfkn5kG0E8B7gKAm2kltJuQ1xeT5Y3fssYJbhn83BslPQM2l7Qaeakj511RkbfnNJ7BLwD/dopWtnQ35kacw80MADc33erF9eadkDybf+0VU2scgRKPVKIO9rmnwD5oF2xG/e+1QCeH6AMxz4Po7Rne+2N7MHBLW8Mnc7JJvO6Wvr4mGz1sN2PRXNRiLyWQOvEICdEvQR3s0/bUReeChdESnWRrYELL+lZubfML375xfQrDvJNOg7kjO303n/NBzKyp2OQF6eJeAjMbN/+nIBHusIjteGbb8hvhC1J18OiQUaFHiRXgB/Qq51WmoO3FhhFmYGx999X9/S8U6gu1+tmUct5piL+Vg7E6/DZIZ37gOveIrfGTuyhPoRZcVfGyTNWmpYaZRI7myAkfgD8J6EFcmuHWbJAx6CFr0R5h3qSL33zINUoCMZeYGNT8WQXFmQjCeWuJnDfwBbObdBhw+yxIOHmdMZb/3x15cuUClDfzeN6cPabcMmvj4F1x+s6IzvmWDj/gbcLMeseZ9//TCUcPjeH4CzThrw37nUaaDNSLEMasmK4y4zOMzWZKV9ujaW3KSOvHAoO4CUgfGVk1zfSLi3sI06gjKoKFIf3K+XKqRTOds3771Jhu1s/HoQLkGD4bIa5bXS/TNjmgAWARKStLavLnDbi4oWT0LeAcfFmGMz/8Y23IAVCNYWi0rcF+7+XRRVN+DmI9SNNR3evo73pR0spxR8lhovAiHSiuXIR5/hwl+xPVVMLNEp0mZ/ymbmbIWSgFx80VLg272sRADZ6hDghtMlP8/Xsle4uiA7dXlXhdtv3ut3zxLFWl5AMwgR8JS7U166SaSCzvSAi8rlwG+WDcS918SoM71mwGdW0K4ZaHfjJ2gDJu9oHD7yQZ0MOztY81iKzIb1rIjAJxbZ732A78OKTJ9lXAX4UXJlZgL0tZ3eamZXgKE0F8AeLeZQeG7e2xaH2ikiPbexvOeDfgAO3dnQyXSF/Hf3HmB+jBG6EzaZuZhmxvG/uxWniLlskM/a8lLAbSQFcKphThnUPXN/Qgz2VcQhfAb8WWWkLlIw03fthp4IPQuA9lYJvIf6Vcoo9OrdViieQL2YEtAVkKv/vEyxRNjPA3Rno8o5zVwVZ6+jLW0yyAL44Apre5Ox3OBVZ3I1E3gRO3FsAU7tq7FLgOuTitmfeZg51JK4cVVZ63BTQ/3jSDuU8vcZYpQj/yX65SR69CAshGjObqCNEeQzAS1xAy4Fn/nllD32IQ+d0gnt5jX3sA67Rtyf6QBa79JVkHc/PFClCLTmFxkyVN5Y8HfDo7cnxt0FDVoqcbeBl/CKc5I5Hc7ZdpRQ8zObPww/xaH0eTHlR0shHm0ttcqSu3iB+ulk7Ok2F4yN51IzTICIeMPYhMh5liXjBzWS9/uKeKCvEvQm58qcN+DS7kgblhbwroNypvvRVqiKfWH6iEBnUHinEC/7DS7KpTUzxWyoZXy6txe2wcYrhncPfJ5X4KNc2lBrOX9z7GtmLQhH+odBZcM0CWveuZlWJ6izj5MArQg5QS/dnfckrl0SHxzyTXveK7s7ZwO+pw55kZXzyiam4yFga/chQjQKDbgAuhF4/ns/6jO3SJIVe+C/fACtssuR2pExkfnw9Uwj/S2tEj6r65vV1zX1gTORTkR8X1/QN7a2UFONh4AOU5Gt7QDc/IJwW3SfNEiOmHHgdUvy7t/Ig+bZWKGZ87xh0cZrke9m522I8+2lYnOYxvIBXMsTA7ao87XQEIN2Ad4jkkqxP6CjSEViHlTGc8vCV/n64/KBf7cxsyDv7FaTf76OwP8CyC+Zv+7mfJlUPay188fNRbdPQZuD3mDlsBxBexfV+tecP5yJOfsOE1v0ajpad4dpeWoDX3A2Ac7cTZ9tlffTDjQSxPP/eTtXzgw5F7pNnyS0T4hiwG6GzYZRAHqXR7DG31Abacm58cexMpo4gvZeOsoj5NwLajcoHPItCmIpTbLm0u1Fz2/KWSIe//VSIFtvzlbaU5qHxEp7gszcgjxcbpltPDlJ3thkrde9wx21b7UPzzdvsgJxQsmAacdPorQgr5/c3FsquqvM/9wI7wKpiQ2Mc0/Mvtsw/fN0ElzdeAF1tNAfR2dx1eAZ7eGC9jhlPQnbnr3osJWVjckpRC9ZpKDlfvfcRqhzPmc4gzqWywB5B7uDP18PAVjEhN7hgF8U/9cPMDdc96WYunLwQhXgUIXWM0VdIXfbUsWlhcN5bVaUtDSFms4vxOoiYbyi+ySVA3+qvoNcYW51IQ/jFZLD+pXj35co1A8RoOOd7fuMQ0NubyhwGRqSD3M/uo7Qq3TkBw66X9/00272hBHDvc5yRz3zVfUZ5ekJsrJ2JIX4j1vTBxT+eeZM7+vzn42Z43R8beEV81wy/vbESEQIWuHy9TJz2EB3eNzME40n0Ms91NB+bUSSV9FifE0nIjye28ySQ79QB7hSbzQdnkBTb+oBl8Tam3MkUwOe3My+ZmhNKX6fO5j5zAm7JMfKMj3eScJ3M2jM5cCZnNph+Wa0W2nw5dWRQQjjOy5XwMcd6F4P/n1n7qPmRQfxap+Y8BBg2k5QLZsomdpiMvsD770vURqcBnyF+s5yAejFlfF4cmtA2F9P3AItsJ5jpsmE2fNBXD1LM3+TEQy8zG3Gv5YI1E9l+6Xxn8sc5R1AVUP9OFPAVviGb977+btf0NuaWh2loEbhXbumf5vmfx4559/A3RzsZBsqUEpQs8lhzY8W3uXRdW2i7AlcJ6vP85DScMFO51Sv+Ydamxt1/jyriDPKvt68lzCGekL/uvWFXNXKL1WEzd3M0393p2UEMfaoR7yvkJbikrqNNRGpJxtw+iMteJDzxGfwu5W5czrYvKUqb3pPN0H4UpwHJqbfawicJz2uiZtqeFoN9XJUkIfTSB295MC7S3Z91sXe9OKPgnW7NpqBq+OOM3XMxfI8CTP3Cnup7j5LZry1pwRk2aEe7OJoTxHk1PueFJX9hHJnv2lsM+NAlXnYL4zxKy38gFvb72q4WlU46XxAT6hwnXRJVBXyDjr3KY0HbTRJ3PdQTVBRO53X9tebuoCWYcupHEmaXbp/5+aZNXNizXE1+lMVoCF3JwE5Ixu2OFirK9TXkl5AB8RS8pUDzrK1tPoXc+xvHOpzJuSRowlqDroQV3qnQnlN5EVp9GWpQVu1sN4+Fc5JdDFZAQHsaaYuYbmlSE6V1QSZCxo2I+veBt42tWI6Yje5giY3z3ynRXar8m0FtbEC7sDU6/5IA/Ktwj/LKcqAp4RedZFZqeW7pnxzCjrzNdt4MN4UCjg4QXnhx4rhwMwfEz154lGDJvKQXP075zoFvenXIajcUI/UTizuPD3AN310M+BoyeMUJREJt2EpFotp9Z717KSrxKJI9maeVOoknyKElYj5E2Ijhlx1Aace3Hj5DRodXGA1xRSpSBNm5rS6nTnzNX4UoEWbGzbnIKGHKkeVdOAP0/N1Cv75zmESNxseej8M6mo5Igdy56NxNM3z+Zg5uDw44QK541bnGYJegsbRNwV1Ta3hmsJ7AT224Nc2znWS5L19qCzbqzlOSgfiKcA7HC1v/fXZCJuQeCobFEKM+zHgXyAKwNWCFFWQPJR1fRBduhXoxBQ4TxqqqxiTE7O8iIjZzFY8sh445YDD46pjITxzbxgpYfeVIJ/Aq9736IPKxWnjalex5QVrssJbvvMC7dmA9iTqXHMOb/xX0iHRLL7eSqe7UbE1fVLfOTXeMQloTxy0KPGB90SpJgTyvG+ZlzBn2pFBv+tXYO5/5cOfF31tz8ChgnZEnxBfqDR+nr0G/kxSvipEAnxtUffIrAQRtkXEBm0WK8hFbUFO+7zHx9rCUBq6HDQzqgpOKt25oOXeGGW8GtNm7Vdz/saH7Ym76ZM4XtlQzYwPa4X8kLLOL9fm0XJUsWERZnYmPOuDAtenwx+ndImVm7uLsJZ53D2U+PKAu8k61EFlvXsq7s9syKB26VRa+plxc/dYGq8x470mgAfvc94sVYEpHxOc8vRZsqWTUFPq6Amc1Ucs5OnRmp4YGR9ItG/O27Nknf3LhSi55yN+8yhLujg0s/p+8x1Yi+zJIR+2VYO08Xg80wIHKXBQDrWU9Ya36jNg1Vyb/gOddBwhtza+t3wy810gNu1XKnCSIvJfD5qe3nfozJwfHxeSpzr5zjh224gntYUGwK4Y/htjYb2yIXxRm1xATyxiAGwem5eIiFXHk9nj7bOLdhTSMQ4S0HzJpbkkpYislfW8qmP57p+XathvmP3l4stfG/hXCp9rHxwOXIfD70sYaEoP90koDIYHKmOmzzEE7RSYWb/W0sTp5iQwlppPxkcNsGDMgK+rUT4gH8smZO84vHIKPCHwb2xVO9CeZzL2N+DZ+OhIgtl0q4YvwAIcAIfcnCIbeKw9Qr1/tqHmbJQ3tTNnoAjXxud27EbWq7RFSmYXUDCDPaiLfp9J/RzdhAvADmoRC7s94K3q1XnOjAcGC21TN12+++M26O9NhNvH0SHAX3EGuNLxvvEA+85UTG49qM+U6rJe1UcaX+HvgSvsgLejd4/ZrKmr09TKrLRQgKeThDwnTWRP5i49ZFXYhvDBo/xpeAm1/+7h15+HmWWTFeWjgdxIB7S2Fz8VTFaZKyUoqw/QJxl3vp5V2G/a8ev57lnCF/9Wrf7PYUXn4ypFa2Z52X5WrV9rfb4/stc2MLOY28jLKVtA98l7O2yHEwX9TElQM49RnT6Be1MR6lMbqyKD2lxFMieRlATW5H3+1bDwgWNyVJSf67ixGFsyqIsrR9LMpgsyjgJseVMbNW66Nh7EndsGe9BHCVeFLpp+qoz3McTOHrDAIoGW8Pc9280aYi1KWfJP67UFUF82nZVl263AvLR0CO/io4QCDHyT130IPEQZr2/3f98FuPAWAwaPaY9dZiFGii5r1iSt2fJIe8uVTIVHC+HGWe4ps9P3fi93kjK96Lzs5R24JoX3i8z+Y3rhYUrLNRdXi/Yd1Fv83Ra9rSxknns0HiyU4gHqVUqDZiWF/IHnvlGoZYCtP9wJVxEqrqL0H/ZWFi4Euz+Z1ieIv8ep6D34xlBDpo+jtbUgFrxSm1qs96WTPoDXO+2lu+aFWnMXfuN525NezsCfprTobB55QR00jxOaBuxMw9HVb89qh8XJ0vxPPx1ffxxx6TzFFAY9LEHDHY/W3uMWumZUfwuGRwy5lK64q53l0gieyoKLloIecvgB8BeY62L6dYb8Avxy/ftKL+g9u2qB+OtUxB6ykJXZszH+E4BHP/ml+5QWN73fPgP2lgobMIh/ZFrfSYEqYm2P2YV8ltSnzLJTUH8oG7UjYnlWgA+tcdaz2Qu46bt37gl8LwDNv/BLwhontGhBvlm0eKbXAYvpWmoV5Ss3HkIXcxfixP2+YtMGjxKIylKArgH98nt2ate/s08T+Fk//fVOd6es6uX77hJNA7U5WqAsI7trelKSX1xTLyLUZHr6qNBeRUOvZZwAn4iVTWwSZUuFplMdkJL30wlHmEuemD6eWYWkogMy4wa+leZeKrz3PUQHdO3a9tamLfim7pffcwV4H6IJkl2+Ao8LvUMVbTsCMS1GEqe99y0o8egwmVjHnPG5cjUSjES5WwI3XGaovU/qypO5u4etP+/8signU+2Yu3DogwmoHWYuUIGeRPzxyMgjysiIQ+xD/HnUsr/rFX6PBX9Y9ziZZ+5nuwFsJmIK2n460nAOaIhXaSeZHMlwtP953N1BE3s8yDZQSz8OlrlfSdYS8qNxkMA0sxgvNyz62sCzgtyFf7vwA4U6UtIkBV0XqRGFzPTpFphkQ7rSQY8pUpNyIN5iPjbwP/3rg2XkyK3e+Er2OCR2VXR5OUwEm16fKLVEiOUpklEbYYuDJkqtCfgLR7jXL3JJtNBfNuj/uYJ4lNZ/PdEy7CgvyJmDJlORLN/9Nr86A/lpHeuNmRvEVwK4zc/AWz8akbkqgHoUdGdiqV1lT5UI96BbiA367p5dkk0rmjVH6MkH4AER+Uzjv8sp0Je07yBet9P/l18PHm4D7sw9E8hvohlyBR3IABoWdALt+V6McjLzI0WEUGajoBk8ArzET63NBrTP5uCkNtQpu3SyFbuTC/zFyRm/Mzd7KZo4+PWe234H7s7WZk2hBgLejNzGkd3XK8flmjzxoHkOdcGcM1cuGksgMJWlvuFnEej4TLl6TwcZNQ7/f0x923KrOtPtK3EwqfhyEiMwNiIIHUB3gFzBIDCxiY15+t3K+px/X6yquWpmxgapR48hdY8ekwEnEA+QlWaZBpbDELKqAVRg8Tcv2wfuaTf5HMP7N7zHNbdomRNbtYM5GZDPO18cLFKIYbvDCGKo8JFxY6DwveSoOorahFEpzPlj/dym+UhSM7OkHP95TT+n+GP7wg1Z7/xNKbTLLb1pzFmU8PbE2jzM/2fWzZJri/BARubyqjEeQWzOmw7dQUuZe/NHte4Bm1Ukiglw0P8WpsuNzUkyzCil5FMWr57ieWiElI3LH2ogGNbaASxNmxEvBHQcZLN7YsUR5vxS2hPNXH4Hvgi8sF24npaEAf718U+jp6AZ+cPwTsAnC/bsBXJQBdzeAw33wihzzgfaDnT+ys3M4jxji8h3cl9a8gD7JVS6eUKSt5SD8srl3mlAsRLbTe3wez54MR/NjOXblYelS53LmljtR+nEGyHUWXb6LXH9l045Akf/yPjlTjnGTd+2dNS3xpx1OJv7aZg32Nzj8emYCojNUbsZ/wexPvdCLJ8k1H7D5ou0fUsW8QW+yzdw5hW04BE0ntWMscN2r/nm89tp+HoA1/TNPALlqi7l3G9Q+zyNHPYb9xjwSjHYBbc263GNo985nRGnVdhusNO7DWRoM0cYuGjFYB3zyPSo6KIav0yvrZt06tVfCZwwJuUY93KMzXzkHsNbMF6z8L06M6qd7RJTw/kmTIei9gdJ+RtD/k6MFzcP8ZQH04Ldf8C9EXA1T9YjH3iwwP7u78DBKzx4L9xwjP/bwUJTA1wLYqQQvL2JYHJUgN4gx4zMmjMJ3K3UfgbcFCehpqfg/X58bh9yx660fzc1NEVjoTEXwAHtEnD55gBXd04ctziaXjnlDvzx5wAKKnFLU3vxlhWNCzjgAmfsgC9tGufyrGE/J278zPX+roBXAad4piEfmcN19ZwL1fdXiE/j2U6PdmYTdyIN2xpPcNSgl065PfhariVvHMAd4FfBQ9n/HikPNidmB/BMCS70lIRLKPrHau5YT+HtQVfdqd+eEbQCVkMO1VENXEQME6osD7hJe21s7tW2tCGXv2oPfiAm9zIiDuScgDEbJaGMS/4PdKkumKUE6E4/19OlKkhbu9pOegnJOL7ULr4qFGyw68cy3zIczCl12zjrZ0Jt4A4r6Y/Pm3Nc29ddW5uM5Pnitb9zM5/voB6AU2p8zBE+UNAToO0+pTONvFMfCcRxRcv7CbTXcTWxbrygjbetzEDrGV3iHO0Y4dz0f8SLtP6w16lHf1ePUmddaeWOpqBbbzxoj8L0iATTAcP7qDvjTcgW4PtIDck1ZXEAPIvAv/v8dRCniass/JG5Gt6n9FVo5kKpjelpw+PffL05DeIn5Fhm/OfrYbPBPD7mAzJemIsY/Xst5laOxsuYg2bZlglth6NTrmnhp9T0HzmAe6gds1V/VGKz1OOEMUMUOPpYjX6fB393vhXEP8RMb+HAnO3KpKaI5QW/AD/Gx5XMRPROw1pTp/ODe8hsqwy42DgkxDOxCKlgl+To4oGOspL+3RNhs+GhbrmpS4/Ivl7/zhzKsuA5teSQ25pjwAMZqk8GGhH4dSJEPPC+vUBsX2GfXEwtQWV6aUT7AE4jeW89ILextJjaysaA/V82t+aCOfqWR77g4Tvkyz//+ULCn2UI/DgE3tThM+njsF5RmCL/crBVxS0us/HfQq39hhZqgdz4rAO+mP7NA+DF7/m4mXnZQd4a5a52ZJCYDlbaLCem+6SLX/mLAGORR2cZS8D4KuDHzNnGwF014DtE6pc5z8kzSnKF+K3hvcmk95SXHt5pq4b9I/Pb9fDcfiegl45Om9fDb23Q20kHLnfxW2X/+dsEct2vB9vMM9bl0XlcjT8O4N0b4PDbaVRebm0RG3WlnNJiEXtUu8yTwtsoyGugp7jxFjjxf/cq+DLn6EG1+7qeeqkPa3vhTuJBTnzllPLotiFogJ20s2vZ6xQw/qc+b+8GvxOXnLG1cVO6t6SQThV+eaALzqwrF8CbR9ntF1P72BSEN4Xf0zDmHFR/irInYMD5FIH+0/zVCxNWgmtmxQcW+agSNq84Nr2YCcRJWDvqu7aaZy1KT3G+YD2F1I3ng6uXBCUbGu43mMW3svvaVL3Kc2ZfsjV4NDv/CDz+KJFO8hC9dKVXmv6U0S94L6sSMP4kbMEc5RNmchE3VU66GttP2k+5tAH3+OTC2k5VOAti4SszvbKuTs1c77qfrdJ5eJXxT+9bF2LyyMa/GpgnLfoVvn8HXGLOqL+IHsXA+y+VlWwAU2SOSJs45VNysgC6uEIT2DXzAXL9b/0L8Iy90PIHNGkK2vtp/COBA3gK+KZk3MTE61w0q8fLNWM6hM8JFMM+Z8tHDhob9tRO7Hgrwxm0YCyl/eVS108BwxaCJjvpZEFCFDRUfeesDZiGb6MBi01vKGrsNCBYicdS6785dIWyljIVoJlCaeanRk0QgwZaCOQUyddsTRH/Uajd0/43b3+budv/zUV+X4hbQmw1z8bSbjLin0zHFcTnNQNtwm3OSkEOJ/R/8WX6P0nPRTYsMx9m0Ik6Bj3jZ7aZL9hcjfciNb2ehTqQrk2zNTa8Ble8XPmwnZMiMZ4Vps+zSwI8APd8VhFg8LAdiSUrEH2vM71IDuizst5Bn5AF+HyaiMCW/faaRnsXuxrX+Q10a9w2SMbNUN6PpuKekohEyj2hErib7khg2diVPuDCrtLZarw0TkG5MX74Sf7+4tgHyDvG9+Yt67/uEJ8/R3fC9Q5/H5ztT+KQGK9qgrAoSKBBp5t6nyWtx/LehIlbFaDd83cv0RfvtOu9hOJ7MnhtyfCRaZWABvYPbpy/eNSpwwQ+C7QdFsmoEuqWq+jlD18b4GPxsxHJwkNQRIHyhfFUGOaZR9PbKYhj7Ewd4GOfUhzUnZ4I7EWFfLscgDdYRErIKWLgr5qlTeZc3LQw0zrZnXPIKbv9JmM3l5oZiyKzqJn7wfhb8rEF8SVt4OKauYjD/nBBqR6r87vxfkoJ05t89+VBnF/oLkZVj02NQa+o/+r/+qY9IsmgjW/ysxolOpqpDWj6NJ4gwGmtlDIHNONvva4MvDFZA/gJ9cGZtzZUf+YMnYmeegr68DRMg0TsiQPPOwEfYy7GQuPXnZQk7gWeoT1kw+MphmXESIWZnlruLN9qBUwAJD/1OjTe09JSBA+9U406PDrzsR7bXdb5uShi0ASQW3hmKcuz8YpBI+LR9P7Be3956bgkNO8IsxSpR+582b++OYV+ZOPUge641WE7CKSqGk2SD/aKgRsS9/f+f2dcWkvBP9lOfeQ2skg/HSq037BCAR8r7YpLu37OL87mnWhpN2IWTDTPKkAOfc47oXtzLrD5nQnTW3ZFJcagUUkkTW3bJmEyZbvWzq0lSaxlVBboGdAU6vl+N/0y1Jl14oCOZps7o/+Wv/gCXqBAu+fO/srC7QF0eQicBfIg/2kEuiWgoKtxf0/43qH0a0ki/5u6QNx7tMsYj3IHtGbAw5omV7xTn2aedRqSnKPMePWv3PJePjD3hLXwrKAxmP4m5uST4h/YK2nG8S6jPK1DwKRx/2TFv6Xp4gniIGRiG9GRgDz7nacTAxdMeREs3PAvfVkrd9ISEdNzeVDCc17rZXxxZKiBkQUe6+VVDfYOB7cnqGrAd4VYoAIaIHYKVSqHNoH8+Ynd/YYXvUXG4IG1vGSWd2BDWymmDjnX36U2n7NsMOSqkvovDWslQgHXRFY9xAX8nj0P94vxqTg47zZwvpCH3KU6szJHdspuq0zrIx0s0BT2Tro6Z5Gigl+Aq3EhzvObDFs762NXmBpO3T6k47007ErZ40l7/kYYKU7h5ZGYdyGAXNvlk66oNNWEjQ2MDdatPr87SpeOinQqO//t14eO4Qfvtw8VALCLbU4CJHPQjqa3Tlr8Suy/ui/31KO7macso/ghujYDjfNt6rjNXRtjj3vVyaEZW4NNSDnWikELn7rY9D/5KQrcNOIjxNgnDvWdRv6Z8pYCF2OQq7IT1Q/gLy/cYLDfsjxcLNg4c7b6s5lNILlOjA9YPfTAYdV/93vO/FENlkeK+IdBLj8AqjU9l2TUM/y4B/rpYXxMhVabxiYRfF6ZueWVnudX7dwGsMHPKe9rrXtK0dnMFa4sPec97rHAwN3xQQU4Ly1Tjx2fIScnChYecs3d+JDR882Wpn4vvHmswB627FGGj0VpNTOqohy+/2tvgEbIj1YL/FXZpcASuIasxbY3czo4jdNqiHVlSwx7lbNVksZtee7cHo2ZM8l50AT2J+j0b9UnDrXsSy3gvYzxIeEKY4oXispXTQXwUB2cdlicwniXct8B7eArnSyCzWXltmMKfKAqSmDO8xP4CJJWK2pn4c2InyfYz9SdVvrf3APIX/xcUlQIiqtkWK6lmEbmTi/OBnHgPX7PWB378Oub+7zdIQbGFGEqYQ/V9Gsj7WZT2Qhy/IzzsVxqoXOsgZB0+KIKvjvavVV38A1tPzrt/DuFNatcrHmPHqeg/R9nu12ZaO+w3veGkgGW4YMgdKjP8yMtzGxaPJ0iBPyJXIhjPfDg0VJIUVteajzRTlrZ8Ps1RRrlwClPgX6CRl5hPb6BIxxFf3meium1NyyCMIZcDRiOIRpJzExPfqCJ7JVvPKMB0z6M10ft2HbJppIgnjKHRL8zMGjcVv0CuITHZNimAnJIPiaAZ/FEBJFVRzLJ/mYufB9cU88c3zhvFhLFds5ixNjUg8aaIYJl1SNzT/mDEdkZ/x/IwX1tm/tz208C0uU9rC83XrgadAdJgWunJPr3pE62VEyNoPtf/DCG/B81g+2Y+dt4sINStEtSAG4F/G76LYDDQU7CGQ6bJxnmVDAc4vDx5MH2u2Se6R20Sy6x4urJmP0Bvy9X7ObQTvWN1paK/ryCs3ynY8hDB2nZR1K0UT6Qw8HpH6W50/7t5yKs5BMGTP5kApszlV4Vl01pva8lsxwplofJy6aeLs23WeJIC6/xpwJE4OH8kMBPXuc2ZJDnGnIfD71D5ZYbFaEN7KkI9CwG3MxABx4ABWzIMwfYOyUL5aQ6Geeml6cgtyafO2BgD/gMM9uhkNEXcJ7GnOu6aSgLyLsvfhiJfLvnHfC9Qe2bztd5/v7IYA1gH45KtJw4KqiNL9cgNY0A/9f+Wup2A78nVfn7NQN+Kp22l4LH5Py+Sc7vVzOTG2KLpx+gi4e/+Q5dGuFPOcoDd33RrF+uuavOXFUAnn4D/yXqud2Dzjvm49daA2vmA7NZpzvM7KDpmydwzr4CnZUN3p2waV93jSW4qYWU82H92gBtez2XZgHwmAKjjGrTDws5D63wfgje4RvfxREk7EdufmfBw2pYVrW2sPdil65fnqmKbJAqRegt+RAHZf9Yj87NzXjjlMB562Bqc+DZr8+SbnyvRrUYv+oEuABgJ+A9/jGzVnKuYmlmQ4TLAXLJnNPW1B2TpPM3DH1dKWhj00dyGhObuYEHezaqIn/C9MuRO5UCf7ykwZb95a9hOucFMt8RnYCblz3g4HPbZ11mVVZ8N3VEZn6t8cwoLfsD2NQu3/H7icdFNqooLbLniWm3sqc9czxXRcD1QHv93j313hvv/08vq/4LdAngkEW+Ibd8lnYrT5BDIJdkwOjvlYVhn8UJ3cEetsgMXDHgsNMqqmJqa+ckcIy1v2e9/qC8uecOL0EfbBJnc8cRfgAXeHGAX0862B8gkzLQl8uFhdOE7f6uVtXL4LaCBvwxMzuZhV3C4wy7vW10dP0E3VRMHUPa46bHhHk72KOeuUOF3PomV5+yXbJR3V/t3KGGnSV7M+vjsqltbGVFY9U6WE4jcMH1v75Ryf2fOnzcgVPjdNeSqgMuDHsdsOaWBwif8tmFXLmmUfxBBHz2eR4p4Gq2qrwUy4vPV6D9NsabSQSPlXbGx3cqG1MnKVBRM3OWqnzAjScOZYAdwwmmb/wxZ826dyX/93sfQ4sJ9lUMuCtvWad70NwTDtHP74yd4E+b71LW2xWS33mhniXV35KDXuwUJiHRxDY9TPEZ9vrAIMdWu/IqBHOrcCLSdC+Y+eergtwjB+AZYQLcJxfzUwTLLQ3tquYTRP/0mv9VpaH3k+5A7+l2Ah2dgEb5Bi4/CeExUzfWRLI0syxOvX2uBbkd7MuDhz1g4bIXAvuQj3bckteK8TPkCNiXckODzAFtjdg4eXJ9zfO9ufw5nxurdE4hymG9prKH3DGoCPgn6DYMufTdAe5h1Ug+YI/Cu469eoxnzFUuuApBx0hu+i7DWCYCAYeOLcCHH6L1/cTsbxrEfzwK7yDTD+wuaPxR/fqx4bsSNwc4YAFYNIguDiuEypqyq/zPq/4CnxmxYQEZIKfG5lMd/vqxlWlgPF5wlYdfbl34DxVxWRev2VXzNwta03sGfOMLOMPeS/rtPXd9SSPlcJsfWD/rSpvzRX5onOnZMKOhyQe2LqZ3fyMhzrLC3Gu1mo6mz+b2rPO5BA7MKTwXWeVrvaS0TY16vByf2/y4kkQGSDBu+nC0Ls0sFASaGKkxifQKOR10HXcrBLn+Y9vxXeCwAPbK6H9UkD+SfgPvcKlE4PXAcffAlT4rcXvVOXgNRcPBkjfgnnHuoHs+tAPgh0OH7SSt+YrZlkEcxXnvjado/8BhPCga37CbPZNgMr7qY0oJF4X2TzpzT2aedaGBu3o+cGI7CaxXLdac6N9+hZ96x4v/ZsAT+F4Qc46Jr8vm4MjMzPPlDuR2q4XcZziBGTRDgMtPWdWpT/g+tLKkl+58g3EatPReUfxRjhe7ttEL56+JO6U55IpTMDM54jMo4BU03RH4Wgcxd5eB2nArMR5fB1DtdhPouHbxjC1cQC7elEydgd9IHuCfPCQy3wVL5ZDPWmcr+50rPr+e69zYU1trssEFfqgesJrKPbHjteyyKwni0cxjxB18/orPUpQb4FQbHpAh53wFrrNwC3t8mGgazMfGYe7JxKOtPcCQz2bXeILK//Ofpwz+zfZJzXwXK7Fyd38nFEF+XjaQP4gIEi/lupWMm/f1kQdSKMhVNGyzJLjBc5n+a9BhXN6Bq1ic3SAG3y3AHy+3VQd4h/+0wwj6226Mf0OKHf40/PtgmZp7Uki2vJVCf5RMb5Q14SZAn5TNnwmKvzPN0yqK7ypgjxI4ZO4QCbzToVweE5CKckycCnQPidCrfn46gGaE+D6U/eLKHRql8ZsKZYkD71wxJEVof5YWPHvUlhAM1yog5t6D5exim9oU6raH3OaA3/ITuMFOMAnarX/WvF1SjhfM//xSwsr1u4ZPDD6jyCE3GU9zagV2ZuEY8EWSgfj1MI+QC3YlJ6ZHFBPWb2qIEeZMIRnxcnDQg4zJlSG0srFxmnB2gLNPtZ4kdeJXHexbbeazRijOx9iuRjSDPirlgId8h8dmeAdM9RLgiRfg3ReijQ5HnAg7EnoC3g/8Z2xNLXYJ+PsADHkTQfvEZ/gsWq4CgYTu5atWP2s+tj+JtdxOOj5SHe/rcXKZ2EPs6JCwxjm4JMZj7wraQF5WcRqgXiH4HkK9nTrmkTCxgPO5eNeWlcCb0w5wpJ8riDHgPvurCl+1+jevhpUore16Om8/CXBW0Di3k2iFKsp7QuGzB+9KgF/lKN6QHj8zsb0047+NDHFs+tQwAk0UglYPSSfp3gVuB5nedsQuPtNhc5UFe/VK3+uCGZ/hVXXEnGB8ClMTALh6cCdER+wcnNmlO/QGeJ6k7PYoC/UAnhfxYkoyB/QeIgfaoZsEvS8gM546/XFc9YXa01jDOsI+f73DQbCtS/W/R02Te91ve+x8bWC/HzBwaewsXgI8OhfeUFpyl/HpmgTGMz6BWEdC2WSTFoDLz/m7NvMlbeOD9uvf8UMGbWZBR2bO0gt7TT0hGeIz6AkfsKw7dbwAdHmwD8gNY7nhI4e4xp91AfrWaU2NueH4B+aYOVZkPVpG3+M7N/ewUX8FTrVIYWoP47gO51n1f/7zOwGc4BQBuwjmMgddDVghy34iwNBi0D/RcVUPilCc5vNbJeQBNP8xt7Rb93qXrYEDf2e8NW2M1JLYZpYpsuG9rQK0cW5qv1j8wo0HG0xPgTpgNEFeRAfKvI4Jvi9t/lAUcQnMoab4AnsiKwfgXTv4XYy7eWBqZOJHo3HCkD+T4AL5bf/kjqwA4ztlfHB4CXzUf+FGR8zM374B/sruJAzWKpJmJmsHOXPT5PAeQ1sfrY0rQj4AFoYHx/utoWEfwCn1P0d+vLul2NvHFUeZaOya87savrwS2Fw+eDzn/qvfnMNPbHCHTDftJw+mK440rrQf5GF5P/VfLtmxR2YRWMWWiU4R0JN3ytGhsuM266eYItnWgGfchtyHeoesCpvZ3I1DAhZhRsY/7yM/Yxj+4zcg2QJ0/Sem6NNojNMYuPS8rYxnDvCVEPSYXa3+1fQllha5ULHNWdgYv/DxJIzn/LTLmG5p98/0vf00H3Or2JcN+eBvFlISbDcYeGESIX7q9o4slJZW7NcRtlWwPPOVGEXq4HH6bPoZVRE+k5XnuTVVTeAlysUO6dEjKdgGdP+ltrWZ/3itQo/j3xkA/9eHCPpI5gWemkBKgchRraWDLXRlBbwNV5mZGvuyi0kJe45rdEnGKWS/vUCxRQFLMdKcDTqlnVzMPVATItMHCdpqqiTgU7Ki1735TUTN9eg2Ln5uuZkJYfQrcJsQuDKG+IhAY3VN8NuDvsq1/W6YBl5A7jJETy4CyItzBftcZC4W0plvacRz0BIF4G/bcFVBzL+4KKz/toKcHivLxqafDdYP/l9Xytp+qpV/gOTeHaz5AEsRAu7mCZtc2vFemlrHjuyrDmvgccAR2ZKHjycJvCz9uC1qkBvQ7qa+5c//8GgBRxumIw6nNzrGu4biJwu84QBvDHLfZOZaEHQB/S/H+uN2BX45mJpo4FB74JTZcZUZ7qfbwSKfqieD0hcn5aDrEbxj8Vjr4W8GKC07yA262Rh/Sml8Dla1P7rtpd5Jc8bxhLiZ6uH90RjfhA4BE/Xf6Mc2UuF+TUBSN9z/OD7nQp7fV9o3nir0TYj9M490lXcEYtN7cTa3spgFMZDISC2Vli1w9ifgwZ2OwFMKBHxtzlMzY8B4mvfLzB31rMQ8MdePsNsmQssj5YQk0fRpPGty5gWwp1zgj4e87z1u/Z1jx7BfREXjN2HuZ8a2BB2rQSG/VZ0EXmv6BHQH2lMyy3aSoQ0q4OfmvpKvigtBEsBPm4rLw+hZ0E2B8YFpBm2Va3xowikwnlCvXhiOmqUe9uZ8esnPW+Cf+pP0oNtAFySFftYd6n/PJs/bCOKz/PUaQghApIUcg6+gWUMxGJ8NfJQuz1S4RJVrZqruNxn1M4ig12zTZ7Lyswy2R9wvDzE87nxUoBd41HRIN7t4qmnvgc5sUxp4uGgJE+pwGnhX99wH3bGrQcsYb01SqDkPEgv474dg6JIH5EZW4C2avPAQ1zaDuN+u3CVmRpkLcQy8FvXYsp7w56dy0Y66wPaorCQDnvsxHxXoTuPnmUCMw55zU6E+SitOcnGzZGBflbNx4FlRJky/6l9970XZMq878sPCuMgAg+GdUMhJmpl8xAz3Qt/Jbu+CVvkQg17TILmKYf88OmSoQAuq8esqz9v+NGw2wGGN52t80lNqOApzuQdx+rpPYcCOioa1nZlDaOqf+Bg8eGBrGsw25NRb2eFeDZlXnm+eWkkO+HpsOHs05/eFaQ4cy3je+iINllX1zbUa4yfu5Mpp+1ODpmW2fvmlrOZ9EKZvhOGYm3nirn+sbRnIp+mLKu2j4/3Una/N7Fy8Yrt8bjdVmNwhRoy/7TcPEatQ7x5WPEr+tRIL344u4L3j9UenWSH2/vxggZvnpM/clEp+dCdPCHY9BZDDgYc1ujWfegMOz0HDRaY+UIXazHnPGv31lJEGrNRmznhEQ/kpiunnZHpmwy9zv/XJBy9jTL547/cp4r2I8FwXXyvv22vDgeesbQS5PwOsSpN8uwDWmnNnUbIlTGgPOtDcwVye1EEH+Nk2B54Ie3ujhCdq3Xpcs3s5AI9z+S5x/uZXHrDpRd19WSnoC4VkVQvyU1mqEEPMqSYMOOKRjFNXuu1VdnHHELnz/2YlPv7zOJlv9S6w6qD9Uby/853c19btioOZQO67SEe9MIpK6n/nIXDjfE4hP28k04Eyd9kfwClCT0uIa5xv902w/ZYj+RScPFPA+oz7axMlhrdV1Ygt2GOAh5gpZjzjdWX6jE7wnJS/vPvm3vg1E23WTFeyXzQr/CoZNU1czEsKTNvBprfoAz7rwoIY5RF7npDxzkK5YIvRiaav38sDBEpXAofWUXIG/ufYax7Yn2poXpoI9jS/V6DHKpv8mLPgfMSQ98g14dLwZs61EmKMQVtx38xlMrMWIPf4pgbsdJ41M37GXH1QNr1lXMdm/jJlcki6r3vt4JKM8SsvI9rLS27hK9/5P401rydgmNmIQMd+ebBuP8BxnGoAHbvj33TATj3qCgsuatQ6zeh/Hx3La85behrIGw9k0fQyFR8zAz1KQMPZ8E53L13ZmN5Iinvg1kdgkHN+ngdYnzdM27fT+f1u/FdwSHzl8mcpIKaLOAEu6qXR3sIF8uWgeMnkDN/wDrnUbbrGLQfviFmbmPsq7F5eZ1+bxuUoL9oo6XCpQCuDDA+xM12zUQawg/YSlE6p1eG39mXUn7yIb6Qwnp66VM/57eiiuUFfV8DfT2nN99pGIDtBc/awNhYHvoNf8x1G0MAfv/dflvoADROr3b+VWd5MHfyDmWfOES3QwNdk0C1BXxuQlZJ0/Qo6KDxYoFiC24JFfOAOIXW4NbO9IsiRNgVEzxwSmTOm17kN5N4b5DgPnvuWrP0iAh6IKPZo2G/M/DVQBSkPCTxfsjnawQPWPpArwZB3YX/ECXC+0PjOQH40XuZ2ZUlZ7WTAwi09ru253qHXeqWnHU/VGhcKuG5W6APE16UWElWO3OdOTHgPOBaii4iQ4G4ssucM8Usiqfs1cYwmsp16165JaD0SJwDeH6yCxgK48iHrSEbo/813kIVvi1AZT7vh9DFnsN5z8nuuhkJWBL+zXOgwyWTkS277xlf0o9npLIMddNq1WfWxDdTaZjLc/qRClqbuRuqvNdn1d6mzJRV/XtzAoduM2jEjjumfsnXKNk9+3rIyn0sFHD7XOk46eUwjYjQFcDL9RgLbzLKKCSMBybc2xN+5cd6fvGtt4mI75/yDh9uUugj2YfCqdZyqAO8MtlLtb0jAOxqyjQi9Z7KTGRlaJHqEDjZbIIbuNZt2ol+AHxlVki1mnh229EiKtgX9upzE7QGaifznzzd9YKtFJFhe5/N7FcYb0JAO8NQP1U8THi6PEjASuMqBnGdYL12UzD6QkaSKmz4f2yNuazfu3kkp/k7G5pmcb5Afsd3029J4XGMdnyG33oGdOzLfOn84D/gO6wc8REoVNE+ONGUDH5nGc9J7D9M3Lgt+BTW+yZ5brfKtmSvxIQrs1Vqey5UcGScUtDDsT+RRwItTuDE1vsz4ljXu3zyO0PR+C3NezJUNvCmANT9mAzmLXeCa+X9MbEu6QxvI6mu9+nfcb7+Bz3AW8FiZfIgwYaOMAbuYoH4IfDUqx3YDufyThYHVdLh4nZk3o+zqcHFxL6XcfS0i8s95sASYfz1E1CLgoqHxaT8xXaXMdjMHszTUq7nTJdrvWF8+s05boLuePNqvHP5OFuWqIh4TrRaM5KuereDm7tuaJA0fTs5Q30TkM9m18hRaLhvRxnBKyd43wFHfcpBtPOB5NkxDY7yzuHJ48QUxQ/QpbCEHoXvC9Bus8R24Qpn3y/3/8xg/0hBWdeifAsWrFF8GN1wK/JCbuSQM95y3Iy9UAdzoG3BoMXd3XPBdxbGf9+XGWDBXBc8Tvr8fHLsgaJLVSEw9yR5ynzk/fnlibBJLb3jIL4K3d1jTZ2LHD74y9zTGbRP0V4LUAfTFhlF/4o72hbhA/MShsvFQRcRtIv/ALYLZGN8hRozJ3lsOvJox9MwsdK9s/1V/CEpYn2Fv6MrWVe3Yt5qpMbMmM9fmAZify5At8N2nbPRnwO0xCdqd4MxLA05w306mr+23Bp6jsR6UV40orYbZrjolsjEuJCKv8/nfnhAeBksdMgv2qak9/uEF8L812whT1x+gijn2pXLVPbeDZ2OxBXQ6KQdSNWI5NIO1OYXxo9LG63Dum3G6c7dN5Q7AZVh2fLBf6wXs3w8Bv5bfunE+SVPXUod2eSr0pAp5pfn2p7IxzXVglda2kwOomJ1C8MPHfCCF4PIzDR4PhoCdhpqpYropx6OkYytepW88Q1/YyyMJeVpjyI/WqfeixPY/ZRgPByu7Sjt5YtY/690/p1y5DdwXnYQ+KqcHfWP8Mr00pcbzWBe4nzdY+86JSgTvtpQ7nVTDl8PE/OKiuo6+1iqIP2iP4LnRBu+IBh2x4N+atm0P60sw4CRw5Qv57eXgiIyA5ZSj4/PdI8bnr58gv2UexGYA+PyE/Ke5rc+Vi8PKap8vPp8GMqjPs1P1ew+0NpAEBkgthYLPqUILdHzjnfpYJkwuTdj21QfEWj8bDqBT4/s7JpuU6s1psO4ATz+JlmY2akUsXkEspmLHX89lPFnSao13FOLm1AH/g/0g3f09jXr36MA7Hoiu7dJR3ddG9mYupozSQseVK3UJsUCC1pchxBFvNeDALYkwYGriqJAfanh82b1qYGY3LfgMzzArm5jzBQ4xAL9ZnhtQRJiW8P7xjPO5P6G2Mj0xdcfMTOwn8L5b0qlP0+eVB1znLr7BfipKV1VNP3WUxncxTmWp9atOb88G4jLjaYnaRPVeaXoelWUDh8V3Hqgoh5wM7wm4BIkFx1Edtmkd+eZstwSeh5sQ28LEO9KAj3gxs80J8yZzDlCFc1uL7Us7DIkb/2SWB2/B/mbBklZUD2XfpriL20zrVTnTQkM7zQddwvtfTx/bZxLyzPgKV33sJM/tJw5+1/qKQ66pBSB1fgdNVW4S0B7H9U8TZSLKnuXzBvwuu2eOpHUn2xzpT1iXObG2HPQTOjoyaIoY84hfGdts8LB8NmN8PBXJxvSkmH4AwB6nsr7uaVjeK1EC9toIjxnwv3b+e67nNuQj5A1xW5Rl3XOEqPrYgmRBHuRbr9HKSUOyOY0Xh4x+VDsPC9Yc1MjWT4CblBr9HO39kgOXAI6NsDlPAZ7EhvjGkD4av9gXZ4Pv8WgQtyjPHuaeju9wqlzgW2uwaYYM9iJnJ66oEN7hFALv7EDp/tenYyc71Z/63ng+tY2OWeW256O1fTN9yyY2qdU81Cpf56IrfH4uLTNv4ute6hhyM9LqPCcJQC7sZa+iyGeWnZMAP2VggV4FqC3Ug7jG53b2KgbraO4KnGk+Wg/Q7Nu+BPxtAuWQjvzkvXr5syFTb296z7DYe3UvzTz5c8VsxuwW173JacCNdyXsB9SdBDpkTFtEzGGmkU+A21HA4Uz0xouW1tp46qEnjfy4sSwbdIDN7RfHvllmHhM1MyNtbPz9Zd3xSz36t5Mu1ypqO+CLdjlYDnXioBzit5Lr1JzTVPCeKlMDJwIL86kqe88GHcx/z6aNrxib9pkw8wqbvzvfNFh2mVi04m1Eurhvwr3ppb1ySwJOTBCX7w8OWEsYh/yHfR7MFQlUCjnEO+3+PZIdwhyB1gzh367xBliaue8cBUdm9naajfrVk2XO+8dkMLNoVZ93/odAZCjX5pp17WJ69U875Zg6/4zKRxXin6ZTiKz7axqpwdxtkxD3isU/EDMurM9Djv4F1ImX98ARHJQbD+vXvTlg5S0b9nc5Xrzf878CTUkIunTtr0D6YF9yXAUo4L2d1kiXeCA8d7w98OLQ4ATT8Q+m/TVl6JhE/lhrQgQ3PYDmjIZZB9v/ftUE5rvgSoOtAzo8k1TtiDvtm+csVB885HPO2a51M+rjaphwZeGfU6EY5E5TVfpQIU4b1/icIk8Ej+Xo2B7Ez2/9xkm0Gta9hVz44odLM2z7ROBQOnMC3BmXeoJ92Z7NO1XwZ+7yErj0XvUoFiKWFMmr8TUzfvgH+7LQcf8sOzOviltK6EgZT3oaJ3JHHNa1vgJO/+qtSCwVVRG7V4Wq1ChhP2mHscUSeioB378V9/fVeZuVIjD9kZ4q2gry7eboTk8yTKZfD4Tv/gHY/0PC90dmqc88ID+mxipZlZ0j9jdTshTzrbTbH6r1LkdmJpf3SLg8wHonYgARCzEOOvmNRH4BYjqkwf4qYPHwqitZGE6MRjZenhBvYS5szBy1wZGP8yEea1O/aP15EYwkfwesnjd0/bJ5OH2yXe+wVXsnyssm+vJKh9CGc5ry9idlXzZw4ytz5CVF/krDFjQUfiaDXIW5N7aNZ7OM8jXOsaOsI+SySrC/XJkH6mL6dWrLA3xFl2bgTpLPHt6htHa5mUVrZuftsNMWp5641QgcFNAa9pdFIe+IkX/mXewzAeyKyqe0fZtrec/XYOXscj1x+dLLs1ox7NHLRrpo31jlvbbQTIzv9HnWoMF6YuZ2g8ZVLNkkwu4SZj24AB5UBAtxiQCOuPJefgsKObqQoinYnTB7L10+4zW5CvE3O9jMc/4u7fiY6ziVQg8HV76B9t5Qa/txAtxsmOyAm39zTdqD875iBz3UzvTPx5XqAJxW/xv0LsbBYmUMRYp+bUBTeVJMGTDJDe76lw/nVbkx8HUeA797UGtaKjvbSGdpq3Ey89g+q97MwPv1YUqytXVoMbXJ0D5VSC5Gxyah/ZPsiMfMHUkBMWO1H6ClO9GrjwqUB2PTq7bnBlrXIxq4FMU663xT17dkz5sL78TKCpSwILPwLrufOnRTkcQ8vNknAXyetkQNGAPPDdQ4+XSYumqn9rCubumgPgk8yF3kiZ/vr1qRY7N+XQ8uaBXEFipwBvpQ8iH+lBpbdJXPihJaOW3QWO2DwfeSkLeOq4af+883VTo4yyMO3JoBTikhUeNmg+ogfoAfJB4FzHzxDb4jNGXwzowPMWAIieA7RTypOMT0yoDJA8JHlxW4aGTq8NiAzJ3VGa/qCXHuQB7+MV6rNVIPueIqGeM+W5tHxRKrHDQyM5v/7gIE+Tw62zdT2yN2e9fUzTbj/pFYvSU72eWr4febp5kdY86xgXcspmcE9JPxh/w+dcDjQNOkoHerQo+5PR1zZiYrbgkdW2Zw4IVRwMeE0QfJipy6V8Zr+6PmJIU/f9ROYNXP9yvuH555ThmRkhbxE7AaOIe+Z6Azkr65n/qlOjhTT1ZivOHPfIxN34VXi1lkLno91xu3pypZTY0LiFEbeRxi39SHwe+eayfWwAFDJdCnstvvXOs3iHXTo/F7v50G26kqppj1skg63VbAS7IudrkbM8jh9GT0cri89iFoM3xNP7a3FPYvceylKuKD6Kek2pECMGXT2DqGz6jEiO5yx1tstempl0s5cNCk9jOPcN/YmZOY2Xkj6sQOVbnFn+lOu+lODtSyzy+dcrCQ8fUeySpL5qAM8DtgHzOTqw+8nzuwHpXorWsmtNeE0j7aPpWhDiB/bSqU2GqYfmfDsUhmprMrQfibi72rnJYe3eZJrO3L23lTmhmPNjHWjg8GnPXowo4I5w8Gmqo0NTxu/AY8LDB3hgcnBt3ZxjjEn/nH3Od26zQ2iU3PPsRTcHQs0CL+XAvTYaIXAu8HtPvL2/maj+VKC2InzrSKQOYiMPVNiz7pxqP0v17oX43LfmdTQSy/O6dCBqAvjsC7proH3BeTzwp1EAw7FPFVMjVjbc59OODh/LrLRoBPh4NN+iTEZWbFJdXy0oTcyyBPgx5JqJicfIeOVeiVqm9t4G7AL9pbXSQ26+fD7xzBYbtUjMe1mecSAt8uNP5vxokF+fBvnlRsfp4w5BLjLcLQDfay13SBc4r0QRTkLi0ZZ70tlPYTwX2URmSTOySXkTY+7GUipGQR/66H5ZvYk8uBQwMfb8nQtoYTgMZ69fkGyRgs3PjsWdrc8V8JlT8Yclij+zUbmwd1sfvrM9xzyJrxHvSKyJ2tMLW4xss9gz1lZqLwcOlU+HCUZk4T2nNF5VvDY5rz+FVnjuHvvXrYauK0zxN7v9ehxpzhiRQXwLd2B/sgz3h25a4fZVS5zUj2KeXnlPsl6LwyGTXsmzg1s26TQpq54qYW3AbOs56G5Zi40/S6N68cAnzGpsYLQuTvLu3VpSnaI7biC9BnT/J/mxNN7pg9rvW4d4wHP+AP4Eab4OeWiDG2T7t2Ap2JJPe/Twy3JNgWmN3uJ9YOR1id/z3Xf/6i+h/k4697Ek5n4LUWjf7ZOOo39GO2S2F7NEBz0mfXKsLTCWVW8/EOP+t5xiekNvVGCDnl831TDV7LXHbF42QpV5ewrzgZ1UvDLhK1EeTe3Ph+wzt06mB+nAIPUj2fGjc+4lGvoLUDqqfV+AectPF9lzk3/cyWfTV326ZeQ2hd5qO+AiYfMgefiTW5Vf91xYN+9WRlCgEuDxp2vWf6uj02Jnam/TeIRd6w5CE0+TwNc8SHJT04qqjEksMaAT+ZVmxtgbG2ExsSx5wfsTB4VhEqhI5RzuIYPgueT718sQLQiM/E+HhBrkuARzQiewIvjyq2fLLevkkX8K4A5k5JysLLtWJTAjzogwXTpQQuB2F1I7C38xH7x7VdasuegDu80Ug9895mVPsvHmU1FNmNHdvGc1hF/qx2gSXtZBXRHvB0gn3kj7iLHWrm0A7aByzEp532IJ+SNDB352gnHebWgDNHu+2ZmbFLUchNt4WWV25++//qbTBqHSUs0xd0AC0vzXwb9TFnB1iHfKeHbJx2HGICOG8pHdgf5xlyKTc9P6B5/9kJ8ssUNiw9vwNXae585EMDPLFkrUzR15NZ8nXXZldivjdshnwyf3BmF3iITcybeYZOXZhZ3XJOgHvi4OtaP2eJP7ZDHup9VvzbAFa68D4h33N5KuKPjPvATb6ekCNAqzXPk1adcqeX99GzDjzgvrOG/G4l/dzmwtvjnU/gO2jQ/E/uzC2L9hs59h7X+pmGC25MnmEP92gTUbrcYXYMvAvlsD9b0TEH9t7NeO2SXoLGxa85PlfQ9T+QHwpp5q47twUPOAd+3rPz1pfD9piYmifjUR5u1hOf9pDfxqyTnopiUH0QqxYvsbV8Jwz9ek8ABykTjS81DawKsJI4L7/lm5s8392SBito1sp4johOe7j3/CqQkB14fIpQenT5Gx6Apwbt99Eh2WkEpuh+WZJtjafrBuLM5KG3EliGYMG95hywhqzAQ3/q8eUDM1OuY4G5zGBvdJnw+jrf/hjffBVs7yUD/BoxMJavpbEum9wy9XN8zC30MDOpFCVP0JVa6XYFnrtRQeYRijc40Bgec1Faaha0L00UJo4311wNTJAqCb5Ah8gjt8qNDKe86XvQlWa2pKa56+9KNk2n/rYCnh7yIh4aNO2pkBeI0fn0n//NN+RciAsyJ9R4fsN69O+v896WoexZFZc7WVFYr/Hh4JBW9QuXjvY59S8qAG40cnzipg7A2gDPOsLz5sTZViRocVa0ZgZ6C9p+oQW/nQYMOQl4ukZxZpGF2X93AW1ufFLZ8sEGLKTr95WYRKPZClnrU3FzptpWNEIWGRqPO3plzhwlwXZmaL+BnJaSYDpUO39zdLySCZsl9vQt1/h4QvhokmsqyOsd3mrettiGLR7Ft1MQcykCr4E9We3iIEXK+NUcakedgcsFrMdvmeYCYvueAEekAuKScdhLrcjsL4/T5FmCvqZacWzORSyyM5r5lb8aG/3kdkzy395/3B3dy6OJLps6aM09U5nS3iXnd9M/5CYF35dj9jR+82JQM/DEA9X9/RTancznPHfsVoSxU3btrXLm6ejwgX+8vAhuG7zTQoaNlefbz6YDvhyBHhziD071mXS9Uw+xqRa/U3EBPu+n5HnbpAjJg7OxjivgPg2Aj5KJGe9RRFI1bOB96xXQOsmtBWcUvTyQo1Mkr/R8g9/zdf/f3BDA/PZWFkgAD4Mt6JcSga7VaFS2H5j77XyY53rnm/O3a+O0pv/QSWDPwLuZqh2+lE57rovLKsU25fTVnzK3tcMJCeeU9Spu8lmfgnYPbPYtpYnbfNwWGckxc/1bZceRoJlV95lbArfj/XyjId7TMVuPK4FYvrmHX//fZuEuKvlOFpmeQuNR/uI25s6FwR7lvX4kbHtNd/x6YopBPh74DiEhlp/cMjOq4gszXg5cW3joHxypvuqIEAWPCeS7g2XqGJENnKJlNnBwhBLKzGzR5fVcV9C/RhOnyuVxjkhi+CS86ytwqceJtiW1AGeDm1MOpafCrZkT/CyH/ZoK+X1c+7vsMMI7HIGmpjyYYPlubuYgWVv4mRe4x4AFL4zCmlPF2bPskjVf2Uo73896/f1fj473LRD/zsP47dRrxAv0A/qi55Gf5sU/c54sYU0vopjuSizwTLivd7Gbot6BvVKpws/xrj3/YZSwfdG3EodkyMXtAbyPVea8eMQlQ23ZAI+TXeNirkmKfD/v2iMv9CyC0sMOutNemhkqCPKVRbW+Sqv3so74wN8Y5lzQQr5mPHmKA8+D8MYcLYQHT2xPVk61wwUWiRuHycqLOrR9aeF7Yy1TYn5uABGB/G9uyXsyAi/dkaAZ9VH0y5iD3iiF+mAWInSnx9pGL62HJYdnsrDZ65Hpi0p3eIa9YTx/zTmrQynzKtryiqKi4bI7OPKzdH794jsatpg6j0ddlO7huZ0xhfdKOa+E/XG08FWa2TC95K/z+Upsi4Ot7wKZ+4K9W3X/LFODBBphTWhrAR7PwBXfgFvlwB2D0vhVBurQmDOrde/SDu8lvAulpx9u5km6UwG69iK4EvXw5dLBfmnzN2rOkWCvpCHvgGttmmGbc3P24H7dAcc/6lDZJ4o2YggWOpbPU+eDtrY7Svcrcf20ovFi5r+QDgfAvZnomVfa3AettcucrXd0mr8eOtG1NuBUXwNna0Lvhjt9JBFgdKEiLEDbD+/wjvq1LOK8LAhwRdOHYE+JK3HKNg94V8DrMgubO4IhWzDwRW7HaeaQWA2eBVzgtV535UJ+HTZ3eF8d5NmiQdiVSG3SQsKbxzzTOIRYM17wH5lQMy+Av+/iXoaPK8TOApw7FbCHTyF8l668i112l+O/35kloIdzMfx56g61TSbltqgp/ImhGPMubnNkznm/nBxJqxbLmoyA6/D55UgYaKKfU/6+YaP/0TjkSBhopn6KMo6m3OhdVx6znnDAD90wVJTir1f6mYctcBMMOnSZTpAzS0d+lDZw7XVvfD3PgiPSBDJudmaeNtnlrM1wobtSaOM73OcidquPGdIiv2embtDqzVw8oF/TkY4JaMX+VR91Tdy25YWiPJSkCdsK83Zfd9imtrmHfX/IUJagZ7vD2pLKendPoIu4njYETWkqvB9mt6S2pm8xfln16MMOYxZopLKkipWivFKOXvzwmSN/lOHNUWNvV7rVslOdmbma0/iiBP6UHTnm3T+ndLbHgyu/YU/YiushzW93KeKVm3N7G9Nm12+wG2zM/JZ8VEHt4I66apCwd1/nUeYOojQ+1bv9Rpzfr+z5fq9C3MmhtE+gSZVWz4Qp4z/iqKF3E6MJHf0jhZ2wQAsetaZv8yGAtzaB8QcCLuYs+AhsGPdLeKL65fv9BO5h6gGLKtxSwrb7atQx7pSZxTlxyOFS/94BrTVT/mnorwc7tkgAWieYjznbP9QIa4n8G+/xB3faTS4u7qmY3pSLWBJul8qaX3fZi2TLFbjzpyj8tbLbNNeyT7q9nfU4TrSZqyPPymrfqMD5CfBM7eIrtyByxdTKSH3XNvcgz1ypg53Gin8gIxHgjQzePW6GpWXr39x2B/LZ8SSUOb99KIRMHXd8Yui76rKr8bXFH/NbXrT7qvBHIsisrMwG3cyoaNc6wM/a9r/LPrFAp6x0uGxKG/kQKy2FPKSQBk2tXzgfVpDjqqGxlLVdKIr3qeDxwZJvZsYScJPd0fbxqft6nJj9BtzFYjbH1a7NVCePoP874IeB8ccF/AOM2c6CLQ+CyHQa4gN146IW6lU7lzMEWkiQn3K4XbPBeLDiLHFVJTQ65iF+0MG615BDgBsUwCdsGk6x6YOsTY0Z7JfjczsQ5KN68DbVcIHd9/VMNOmatc2x6M284ldtTyzO2/EU6IQOj2tK5cgi+RRaVgLJt3rHNhUPzNlbxAJMGEvuJJ8zFuLkuJp7/NKTq05w/+6dtFzKXvPcRWcRtLAjYd93fsuK6X+4cbNBR5hZiCtDfkaZ/TR10qAFA1HgknLgcTbuqhExaW0tGbTwHuKPxvaLE9uaeacSeI8kg3c0HvsKqQPv2rVx4x3o/8/TiBMabF85ZT0VyqYR8O8Ic7Lykq5qJvCdeYh+75RTYT3NXTAPb4vZKxDjjNjxVCHIeV1mfGz29dg7iTXvkiG4Zlrtj4498WFGR0fd0uDr5UWQ1AVoIWr6ueSNsN751cpFfKmNTtD8J430JbOnWxJpnAPa0Uj2oEv6mk+Qg6YiKXzjy72oHXnWLqh+Ks3dNxFMXYAXbCC3v/IX7FFyBR5zzoPJrYPGqgoFHDLxZIFgXS6bZOfjZCfj4+pPmeC3vEch62/eCXJiU5TWwUnWSjQPugMNj1rnJNCm0eW9jvyZ9PGxZn+90lHW4SO8vbjpgefQdqj7GVaIwPuWySmwF6BPO8r0JnH5R8psZjyUsfvlERQ8YH2DrFDEePWcEKmoLW/wLgoythoL4DBsnkBDJ385ZZW2DGfONUrkMEnQ9b0YzB21cog17YDDzvnQjiUDTOUoAG2b5328mH0tI9AIrt4reC4hIFZochVR+cD6dybKB0H6Rgb20stjHSjjJ3SUgl1x2P5U4XKhxmekw7Axcfo7R8uNF0D3Lhknh8K6lQNohZ0GrNwvp/OWQEZK/lcbGadB/FDAx9OdzE2/VoPKP6/7ZsVmdod/tLYORNf11IN+C1DUFDIQVDOTV/8fVW+35SjONI3eEj+mVvuwbRAYG9EI/YDOAHkVBoEpm7IxV79TNY/r/fbBrFkzXV02IjMyQkpF/m8uuOlxxNxtb+WgCBu2EV258aG7gG7ZmfrOOD5iq3RpNHVND/jGrxZF01sTvf67XxIbT7aSQO4q49HlHBZZxC7UOVOHqjyIN6YvFvj9v7PpqUOHpQ7xF7PihxpswOe4AH07Ar8pBPPm5LKdaac3OLC9o9W+awo1+4Y55HImsKfGeIK428jB2zGzd4LQ5iySpebXW9mRAeri62S1c00P3jmfh3xYyvryx5OotFO/5bzbldwhkxDbGENGnzn5d1zL937UiEP7mNm8ShyzD545jTvN2LrbFOnl6DY32bdRA9y2YUSqYHZB96RyeNqgSQ7nEEXUb4tzGDzoHmgvTx4NjxErdsCr0EfO4pI58TuXb4DHYdbbL8i/pe4ON160iIUElIAXyXUXVRpfOJIv2k8r6AzQc5KX8HO5hVmpP591RPqTszjksqWJHY+ZfbCJw2ej8fIRRf+P1rtUw/ZwNNoUeLp8zYdzp2CtcJkicjH6UYYcYnyak470eQEaGv4+o/qfcoC/ONjMqbk0ET8wZoNWn6+VtX2JgmQ5qI+jEwvpyPdz2aVrZl+0VwxxRkfgM/30IkKb++78HPAYcI9kwP8h9mTiTJrQnZ/AGgA7CIy+aSJ8r42XWhe4ytxjY/zBXKLpQIzvyC1n6nfWmDT74C5B8M662iX3xAWNG8jxPNgnFcbfZsYv1tOoUBuCFnvyUAmo85Dj3Kq5TOthmo6u8QYx+C457lAhIU+YPjyq4e6W46+fHqgr7kIu+cc1fkmb+8lIPGnZDgYcS+nnrRIEc/+vdwb+kLE4Axb2wBTdgRPOdcjs8zAl0gLdVFwdEtw9FqgP40md+p+ruZMv6Nu3Z85K92Dm994YwBzUJa/snxtstVwibu4nLziIdQ7vJg+I5GP2ws4S1a4OIQ+MN+fH2Whf+N1n+AezltHeu51ef1zQp1nZywRby9sLzq5GIhumWxzJFDTRWvu7W87jKWf3G2Bvnwjd0xUw2ZfczPlL+v/1TLg/vXMtQaite3I/D+1i9ni4yzZpBBpUT0HOr6Cj37Mk7o/amTKozTv82l6IQIsS2wDyd5MICbhP9vXKRb3qJR+SB2ivCHJ34d3hkQeo/Dkvofoqe69X0XQUjCTUAbaidUl99ZH1MdS/33ujpObsmdtxdtbKzBMCno5S0Fk8X8sXYGiSrTurcWKaoPiktIyrUGEqphjqucURDylwNuxzBnmeUYihJFjSJvDCRCNQOToux8N7z3ygVM6VK6+4759QBx4lJ5Ew/amBLHMblUzvkpR5UP+bBwgdc1fwWtLGA43L+NBmWce/od585UXinUceJQOy8hAibkCSIQnrtrzPEP8xfljMqILGYsAf+FWG9iv3AxNPKQknRwbLA+oAzoHb8tD+Uv02LTsMGMjgz7adDEkv99sD6Z8PqCei1sj041nCeGuEs1Vq+T7jKM/CCxjFsE7Lmu63H8D3PAkaQo6o52MAWiB+NYP0SFg+Mg48IN862NxdjtRGdGpf8eaZrLuT0WrwDp9J6K3MjYXgOycNMAMceu8RDaCl4HnnEbS0dfYBdbpgAzXzn9T639GKd0moN8TSsunIpWE4StZ2wT3geE8mHGx92uOwAl6ZmFkPIarIyl51FM+YbXU5WHYz/vZiPRPQ2zjaLbUAHO/lT3981Zt8A05NWwq6JWe9l4GIPTbB1kvEwU709EH7ZpED6omZw2RPV0LjzOytp6EUNe9d0AwjdzbPWsfy/zRR/ySBHok9FXjINnnQHkD/fgHvzk3/VjPy8ORs4RvFTNA4bcRUAg6BXmq7k+PFWCzGCyxtrP4FumNDremYiS1iQi8NilMzE/PND0nYdtyNe8BC/zyYPnJ1kB0uE1dL2ZdLNbYREQowGPDQzEnv+Jz48YSt+KBcbeYcPBOLmP6BvtRqFpf5P5+aUEluyb15R//7LNE40710Qd8PhJx7QmhvPQFDQuwHm2a/1XnYW2U+d9J4AIyqFAPwOSe2IWZOgJ3AYcsbxPrLnP+oIl5+zv2Mvoquj8ZXp3MwvTWRJBbZJZ10of4WvCMV4BMW0ecj03qfDZmH+09L9tuAR7hgTHonW60na7PKEVfMsg9V9/dWivkrs+O2MfPeRwIcafevHjYrHhDN7N87WdnJ0YeTq0Y22NrwOTaSgFv3NTcOCiuJ6RDYoCuNB/UmsbbfJPSC5PVnwU65KeHdnZw5OJtV8mH5w9L0D20o56afQIN2iNTlz++8bODOH3xYehFsSx5uUb7fujn8OayBfR7/Pgi7rrWNifm+fIwrOrYVxNuijK81J8dkv/WOawAYj79Pbm9DHu+V2VsHHSf22xJ47y8esl6NCeiZiuK21KQFfWxmoHxVa+spl2uld48qTJ7lKg/qNTMMq83G3aX21avxP3/2G/9/fbFs9qXGngiMrgrMTPRfT13gJgG1AJtHnsNbozi4PuHzSzlohCMtgdMsSYHu3NWT4fgiWDzM0ExBrwN/NTMm/YSqGA93+F2AIf7ftXSAv9q8NOcGPP/1MfviAR6U3165Bfgs7OlolxvA7vVnD7WTPmGxyHodQg104a2bO75lpj9dPvROrbkw/kWARbO0ZopHvcsGkh2d0viBbxqoNWLw3l6LK3CnGWIC1mT3AjxbKVNu1l9X4DkfStg0LTIza2JUIu5pcbjVg8SgWZKqyyxlozkJ5rzuYqsW+OunL9NGRyY2Tj7oMA3tQx0sbz7/lYQzAk3Ugg79B+u2NpAvPJzaslOXRusLE94X5GuEfbY0vKVmHywfQHuOaqpA8zQBugE/v2ej9oFDk6S/L5gRX/a2V0HUm1sh73MiHCh57ptnBRwwDTHoJtuRA/xe4FFlf7VKyKU0nDXgvytXZbEhXlKGKsArB57iVkW6K20NyLwFHf/3cbRRqsbSTYqDx9DnAvj4/Ztfa2t8LoC76lvjHNZ6lN+gKVEjlJUEZNcUxJXOAbiTAi6jv0WH72c2oQpeTTNsja9Kr6gaGto/GkeCjvtcziFfk2G7x75+VQF7z8pcKzNXpus9zNtUdig1Z6GJmSs7tgMW3nc92FG+/wM5FkMOkIQH7MaixJVh5p3MvMlIOlWEIW/ImvgB6G1lm7sbNTPe5sYwsXnHvPGeFGbPvrJVUer2Vft4TcaYU//gig44EcTwe4aGmQOH3WmfBKBjxPRxhneUX+52aXqDg5lAbprZeLfU30U5QyHU4bzs2/dZm52iFvDU+zoXOk8LwFlLQ82zHnKcRsrNngeB2JtswZZBIX2CWg3PM3MpjM/SvFOOnSpb58SdALEnq3ERB1yYc6dlZ7NfYf32YyfwMxfs6AV4WyeD+F5zNSUIT7meYjGoJIe6X1G9PyOZ5VpOxtsK4m1JAIvPaJfBul/rXoGuQkHu4lvteEsT4NjMP05Y3Inx9yxg+dFCxutDmLk/1yfUixJy8iIKvDS0fDX9dEqiKTc+uSSIKdTRhK16D7l1ZQ7CEK8Lo+VSB1qDlt+BPjRjtZxy6G1gPewckLdntQWc80uJZd/0iYvpbk4RaJzx+sgRe6a+9oBHUVLIQQrunVYMfF651Oiu8WonY/as9ndbhjrOaGC8qHLQQQ9m6ZlHh8eZBS7kSvqOw4ShB+mXrwT0gOrY6+fMvtP/TqvKyf4P5AG2gMfRNJwW5uMpGeaAFcSvhwX4QvnERfOQlDyaYYHaRtoG+Go+mntQhCej8Rkjby5qckNzpDYJxBDLt68K8qns+K4Jt31VaNA2yFZuXJzNjLsocEwtbvq7wwoJWn9rkR49OLsv3EEX4J8072cEHGUlonn+14eO3/02LDf7AmYWvWNPTCB6DuIs7/U3GaVWffsUSB2U8e4Kufm5BwVMM7Mk2NruzN35c0HsfFVJ4vALaMHxP1/+lhC7t3JnfmH0O/8rxIMum9dMEi2HKozlueDluZhoOXjfycATWmAzg9bMZ+54aIFunlHtqnsFfM7MMwJ9G7OAf4thOgDfBh3DN2WHjqpXhFE0Zfy3zzwQhge7UysDsuFoipIcMFLrE+M4ZsOMa6YOVSCrPLAv52FjyyL+NrqzsTnEL7fNvSamTR29PxKLy6ZXNtQceCfqJhBxKI3fd0YSWPfgp9du/Ol35pnTkoZLUjvPjUJ8Sbm0E/r54o6O4L0lFVOaWe01Rztk7sRVzC541Pp58fnMfSzLQesafXqqwxZ3pk0S4jef34uiXMo1HjAyfY6oTBhonRG+u1EFZtZSoIdyxU/gefDuzf3z6wO0ppkt88iBd1JNZhHxPSAbYC//mZ8DXAR0dLkBfvedrL+8VzeA65kgfjUCNwsm0PzbFZ79y3gbZfrvQzreXrApMD2X2HjVRwdPcKjyYeykULk5xyIb5NA4vZt1mSvt5gZav1D/ef8NRxf/n660SCbh84DnMjHyLzOrTtLdEfRDKZEMG2HOulHPnG0FdQQ+ZfpWur2XfHdLC77iInmaeTg8jIOyaC9sZI9k7W8yMhNa7YAEwbsup4QDVwDdlYvt9ei0+Vk0iwi8KrfiB+RMXjoZaB70z+RJzngsOo3zEb2Y9bnIoIcavuXAsdbGWrxk1HbTLxiPHNb3Z37oK3f1+1xvR3tSgubt+DjZ2MG20Lu84gdQyd6uMj4HbnuSKHagqr8qK/FoeDX3QSPc64W4Maqd7VpZ2wI07IS5/jJ7JKpoQVs0L0KlI/Xu3RPYnyPjO6JHZuNdLmZfsLsD3IpIC3Il3Bofdo+FzQIVzBJoekGNsvlg3xJrvrMChbIw+3+kFx2ZG9ROoPky5QDlAK3MLMtVvf3uWw5yro9s1DHhaEOGOeGcHABrbgnUmMZHAOpLD/k0JavcV12cykA9oX5ETQS61iHwmWRK9C5N/WY1+ywGX0try2C9GX792Rg/izdGwXdHzaA3GYO4y+cBakRSU/nkQXs5Al1MaHYz9/oZ2q0CNAtwp4yFUgp2uJ1WM/OQeKA3XsLf6XOAb4xLs39/l/pq42HzUHx69wOAFlg+qgjNDfC8n3ntQUtr3Q6SxgP1m4fw2w5qVyELtuLw6qig/QL8jWiA/lVR656ZQiVbZgV/zpDhEOj7+AJNbccuxNcup5+/vnPVoEoKnAT4hm96fxoErL8HvQxcg8AzQ+4UwM0fMvw0/W5fzMU+6LwPKXpHOaBbIvlBBt2z0LtBUXAlIpz05o5guyMQH9z9nf91A03hZEW7A35wqbrEySC2uRWDtOU0G3clgXcrLeAyjE/Mwgn3mS1ZbGcuxCPX+//uPCIzU5nzAd6xQ/al9flqnMU+w+o0wXtO1h2ewcsarQTTjUtsXaqen0CLRSc7/k5pO4Ju7U3/Te6gpArtEfhgRCDOaZg4ysVJ2Sc3YIc28GKoWfrGLOOr056Y8QFkdmtq8BujzoXaVcVfL7PZi9O4Sth25av+oivofXcCTh9/55E291MedYEo1NFFRodN3ceIGS81eM8k2N7yYeLnwD5KNgfABTIze1sIU1v5m0e98tdsV5ZtAe+8AG9Lst4+VUh/5X62YMi9c7S7UxYfoaK/Kmc71da8HG3gAr1HcUGAi7SOYjHEfeIBL73IKLAa423dxd9inKw8OrwxyiURHpi4OiI8uIn43BhNyjq1BywF3NegO9sP0zd1tEBHin5DjT9Op64pb+yc4qoadzflInhHkJ8WQlkf81JDlRZ379wlxhP4rStfUM/tNMI32bUxFeXD+LTnBY5EJM1dpu/z+OlkxsskmNyG2U8RTkNpZktSqPsdDgHHN1Uk16Or29LZeOf+8AJ9IADDs2o199D+n/6NYsKlvTP3egejA9OwvJ0c+dNP2DjXRYX8QHq9VsG05zbqqIUDvMYus8s1KVTJxuminAlhaxsnQeNyF4Xcje+E756p8CrjMvHeIyo5vydmXqer//FRC8hbQQI7Bb63ctBjbJieMmiX8wgYxKxHw/iGQn0lQCWgnrasb+fEkqc82NhiOBgPDVwFoB8GLSDfQNe9varut6YzPaftV6l3nfCbV91r1CDdUp932TDnEIcFB07MQsJIaPYxYwFcWlQCdAdbFrNnSUETyODw/Jmn9+OhiATvsZQ9ecKavGNjb2ZEEevwlGgqs458UV/uQQU/iNOutfH9jFrQDO0dNDyv/eBl6rAI5VINoH5ctMkjRVK/XwSXnhrivYgIEwzzXKOuscw8mt/+3qi0Wlua/vmfWQxxS3rgJGYeTJEsZ60HSv++6DC1eDzYdbiY86A2FX/cWk8t1PnvVCh4bxxwdjKDlcJMbEPjwWHeU42uTjn+zl26ZGKG+lo+617uQM8ZHwMJz/Ss+BQxiwEHkbnxpMkDleOQP5t8dnJ/9y1CZPZXvDQMgK8y0FwE9HUA/A1wu5AMR8jPR2DtzvaNG6wxc8jMfFZr2UHdOVCLFEl3cGqQHRL01lmzG8RYmIhZ8gA9sRtj0G9V40zyaANvC5eIcuMXJI1mzWqNQQf9XaHOF3jFj5Lx934vvE+oJ2y5SCG72o09HDxvkEeART93dDzIvQ4wHLiT8UrJVjmi+AwxVro4StDnK7Gnp+n1Ml6HoJFiGgDuj1PXBBz0/fOZ/Z//fAGI1gLHuOQW1I7BrppQX2rA4kSQioPuSX3QFWKxAJOJskB9F/IlaLxpXHN+Ln/uYlCbEF58LvCuvwloHXh7dlpIDezYwcXv2c137koP+OIggAkTQO5atLM0VSj441X77TUJIA4KnrHXzKiD/4FW7/DA7zRY/DQCXOj+ehzhHeMauB/78bkF/no1PudibCWxfs9uRL0Hzs5jF/jqhwDtdnTmI9RX0M3WomyoQ3wKFNVa+YmZu+1k1v3BWBxnEHnUB8xl07UWgGk8Tnm4sfLBzIddrGz86yUWxMao3/dTnj9nY2I5NQMvG+tq+i8Fd819RimAL5i6OimowWWxuxIzg8+x71RoauZN0mgX5KABamHvakfZBOI9d7bRGU1PMmwBVfXtrNU7l5M61BJQ4UlC+NsWBg2jeTUy0E7Gl5UI0FS2EhxQlj1AQwfnsXWZz8z8vg0Otl/M4TmPPm95SJzK70H7mp7+z6URsm9W7gAPe8/lvElBBsHUHWJiMHPZE8DhWnMtRsCSaGdmu5RnCjgXziNgYwRxEXNrO9B+s5ycpydNj2QH78+cyQcamV5yMxu4CUnWhIcl0fy935uJ6O+G8R0hDAWQ/zTnQE4G0icse5bi+uQD5GmguRrRHjQwOqPdYGYTQ4X6Ry0vPTnXlwK+RS/G92xzk4H1OBoNL+z0rHcM4vydyyY+KdRr2/QR5dafB2BgJzlmwMNzmv+xMOKliFBgZiqRsTSzmc2acu6QMGGtT1m7wX474OL6OK08g/z+AK5yT6zPZ8PJF2jm957DIoU65IU6Af7npdh28B7yHKGchOVGrtiBOt1zePYjaHyGDhYLYP3G9lsOJFeFPoAutiHvk4TJqV512ghrKXu1qABqEWoz/n8ed17mSJb7fx+s33gigN9hbdafuaVs65da0hpqbI0U55a0BeWdZBph3sZCS3i6KcpMD0SvPNDVF1J8Gn//V+PrF8R6WrrZqxG/PtJrBr8lo/FThU8LmzmUoEG5W3pYq3+S8qRB5JWPvPjpLQ5tmTDvDlr61DgzaDfrWRp/oOC6Yle1x5X42dji2syG53wGbL4I3b4x6g64/K8er2avS5rzcAE5wYX+Zj75rsPtBDrayREOREAchtQN8hHqr52IfnnUdnDLkTqau8jJCLrCxR/YnlIcsLUsDo4IpDYzE957DsDjd40V3CTbnhRoNT5KGxeyL0VcYTPDxyk3GLTqyUYVaKZMDR5wdDXxqLHPArWY6ViK5yoN1vVzQO0GstpwCRul+/stc5r3XbNvvDfeqbatunZlnLAU+LPab+/5futVPRlOLq8EoLoKrIVbjXW0Ypa8ACuB71YujxKuShFkKx2AH+fAAdf4wPz2mxY7RtdPc2b3+v/rlP/1AAoPdLtsK65veadtyMmPNFBB1vEZcvhRcjwRe5dkjoLYUEL06NaM7T3Jtzbmu0fl4wHydNcM1lL124+SK3m02ncux+YuGGi6uI6YS4LepYXC5YohD9tSdeZeu/JLDjVKzMZLZ4D1OSTDwTs5pVe6Oksp1MUATyUHrkbRVNH4WK7tSq2nnUSTR339PpM6Hq3ZoUXrA+85VTai0rpvzPk66Jc5o2ytHL5JAHdqPx7xiqza8u5y/bsx83Ybm7nA+9fSml40mo5nfrVKW6b4sl3qaEe527+Yq9/cRkiXVHWobvDsDvcTg4cuDoB/Gu7P9TcG7SE77HOBgjOTTzWSnPe6BP6PVRRj5cRQi6aFUB3A80+EH8z93ycJNotg9gg17q0rA4XkBfSTp8LllkClob32BDI+2DZlYSwye/qiejJndB/V5W5VxfSR7rfY9IH/d79uoSqUmezk2oyle1w1vPPGThmJUtQ4mcBvL7i94Sb1qibFE+fH64PLexWSb9HFBejHIemQVWkJXLuduYb1Dyac97Hxs4lIEDiQCy3kmKjsKWb24cl74P+jGthA9gkrAa9+91LMCTelvFyyDn2TsZ1Bjzspjz8SX6Z5OG0qS++gPlpnX1ms2JX1MF0z4znZES2G2Mw2WjBNbCm8DzrKE3XJNzdnXDaaIK8vub6+9zecclUkCWKfDWgHvMmprZ9z9iz3lZcXpm+LfPxvRgnHg0eStX9A/uCqy1y1tm3iJC71odYzNJk5IzLkq9xv/3F9MDqAlrx9n0n1UDsyZkP+sbiTXbxhgRedQX1Tpq/MmYbkMnNY9QW7HKf+DkNtt0o3vpUONhqnpJGZ5ca/mxAK8rCxsbO42PSdrmQDv3hfhb/+olGid6Cx/q7/zXnZAb5KS4x6x8V2LnttGZ/CJlTfEMM31bc9PK8lwm1WjfzKo/jYACZRWE8eTJwU6ECs2Dv7gfF0bpO+xWLcvTmA3VD4vvt5acbDg4T2nHTaO9m76xm1oCl1D1wM6sZ0hXrom9tBIsQD4MNFFTtY7bY7c1MLdFWPiYeLeFXCy+u17bGNgGCiKwfO9caoRrQMeL/kkPW4ly8F1QOHgDM9TxmTcWn21UCTMwYIE+IHxMy1Amaa9MutBMV39n/mI4YU6hHl6NGM2aPmDDg6bs3sWjq+/RzmKXHUxGwMmdGWhMmgZqSVjvfMEcRIx18Eod7MpYe6uW/gz+E57NzMnYl4mbD5kXDZ4ih4nF7zkvpcn2y9Qm0fIFqMP7aXIP4+o/9qHE5o9OnkEfB/9+9DWn+cSpNbMip01qWZFTZI4+sb/X0e3Ql0fvLKo3LNLOlV7kRpAJrXBv4AtTPrbUZsPSb9NoA63UufGYx495k/gR+nx9fdwc71mdLeqYPtzdx5aS7zCXS8w4IWNP42a37u6v3ZQIV+QCyu1dDOhLZaFjHPneyRD7MnKfATC2rzijxA/Lg2Z1jre9bz/XZcS7fqtANYGzer9MsVItjyGPDkEXIL55rnWX9/0l5CvtonBs9YAY7B946UbpNaxz2mrSdA7587Zuf9toPvNzNnrgg38yLk/91PoZlbuWgH/I9S0ETcxYBhaqd6smYjKNZBLxDrVRqqVkKdJf/db/zKoPb8GPxS07syOUn/+SohOKCeLqB7umTQh6ZrCxOL79jIBRHAhXBTaJoN2wvUjKJedwu2FXA0cqmYNB7ewH3sNQntD+4glhbo0nBpzhxfVRe8KPClPJil0YbVuOPcbVzQvTcWfJq5gu+zgH9YHNzavgJ/adaSBU4p2hPoEZdRNJ/D+ZmElgu/P+NDHGXC+EJMh8ysruXtzkPgsiG2zLyuBDRAItqIDv2rGsysCL1pmIfq1/aN8xS0IMt6DO+lfdaI2IA5M/bVSB3gIHYCtbe0JIJ6FqoItCthPfB6a3sqmTw0vhqAY7mA82NJ25Px6awE0RC3UqDP9cxj3XT4HfM7tX5ulPXnZyaW1OoAOIVEoC3jyXQ2s0vHtuQ0njHU4TNioL13H0ApHONVWo/tV/KaMWivrxL0goI8psIeThaaQSd+JWs7JJT/9lUycbeP1sbLwyVtAAaPaw85hQmoDlfk8ymJ8FPRluUrGc9mjzVqr8BzMPHNDNBpn7HZ3OeeidM+oI4fzvs/xrMhzaNPj4QT5mP79v3Oq0FRVpBHGrWp8vk1EbhMqbJxsJie41fd4z1FxDpZpddEJGqG+4as0oa1IWcz5x1ySJn5d723byh5Qe5bafjHzf3sxQodGW+rd39UY82bvG8f0jZnVTxmGv8TYjsqM0PYKl+gecMGKcRWfSOA+Zn16VXGa2LN1gbFsRi2E9Q/Ulsb4wl2KV9buxyym3JbP+nJxXhrvXVlIrJbSeMPLOQRc+NRhz+SAZMEkZz1Ej4bnQjvF2L/YOnPGT+hZK67lnBn2hPQN3mxQ7WtJhLMbbWir0bwPcTcswr0v4wnbw4QpXz3D+JCgp6TTEAAGf9RAbpjmGYZtpHUUKMChGumRR6opcznTePEB/qanRrWkv94FaM7Kcz52RP0tcHy+PSjr6FWmlmzv+cOw4LNnnESauvkyo3R7tgtX/UaF2cEz6kTR0almwgOa3QAjk0+jk68AHtZUiEPR8f8/WUEfKBMoON/vhewDhaWIkicvP+dJXFvzL0uWxof/EfCAKiD7IV7z/hTAWdr4xq1ntR/l0Z/3ljUbs777beyNCKhuU++lGfGltLGK9RXQVcuGUfAhdodZVPO/fiYFYd378F8ev1ZhA/61sy8vtxtkv+5VcGyHh2SAxZViuGI2Mrcr34dreVEoxidrHg9rcBthvKW8clReoeIUz4q1g5pCDzr8gf+vwSsBIxYf++aOdUw33MRX3GhTB2aqc0eJweBPmmDn/sWP/0fZn6eZWGHd2eqo9wGvFxbAf89SXfaKQe9+Ij+sXEK8wKHVSFvmdVAjTd9meTNsddyCMx8g7Jmd+unZyCQ//Xl/2jS9ufOfc0nr3S2xjf1g9p8NWd9/3mJPZ8ijHXqK6ICdWe29oijbyfrYDCfJGPvpNHvjMJX5oKOL2TeIOOta7c0lJe8n7J8iL94gC7CzP62fu4bHFU0nXhIeg61iQU4zZwpx36/srFNpNFEjvFQVhkLF87obscvM2PW/H93OYEXg4Y0ns4PhmQrg/jJB/sO9Ghh8L7+2y/6u1DrsJFRazd9+VRFYCdW9kzslkP+CeDAEQ1B6wRXB6ryg4WbTUbNXN7gJfLtu361Fch6iNWw5nwB3P6qRLMqV5a5+/dZDzgFDhZQxB7nMS5SEBEJ237zcEJJ763lCFyk50keeLfEJlE5TKhmT08O5OtoIU9a248mnN44X5XMeG6TY2PmbtPePQcqOYfyK0HTBoseVGviicCC5/EAm9scMHwEDkMzy76aGVmgqb7Ffr400d81ZRqiB3jr4DmKkpZY7QE++92L5SmKEhb9fahOeRAfm4bvXkd7x0DLHvJg4/Bw3qVs+aoQpoxjmgaAdQJqjLCAr6u8WlUkxBQZ/wZ4zx+Nn3lJB7lcSDux0bcs1HumyauxpxUwMC17+1LRXVCNpVNF7ZccTZ3AWQprD9zIqwViOUVpaX+acwn7HMaVQmpJkdoI4FOMT3kN/I1ZOssDNBuvN4ByCpj4uw/A8q2f2XjHe49VUf86D9o+ulBd7KnMzYxnu7yl0e6f7FFCfP1sLOP1sBTMvi71ED/SEJuJ9WYK5J1bhCjUJrmPcqOHSwH4Sz/fn5UTd0dygVyK1Iuz5CXo3+WsdwJiEWpF9jz3k5sHui+t5SbNvpsVW6UOXnK8WrJAS80Pz1q3u0pMforQU7JPi8Pq0UD+A04JdXb322NWU3xoXGAWUWw8qFyqy5e0SAq1ELTZTsCaFDyIY9DzV2p5J3NGRMXVJePOoqY/SXhzbsf5mamDEHxJOgy8l9nC12k24rQS87uPyDf7q+dhG7Doc8kc4+evHyJCqAnaUzm0VxL2axPF5nzrmvV8yPppf+atDRpsVCOvqv7uqN7MAkSaARaei3bPoOCKQHoUNA1okXc/22oQ5L8esoN7HjXU3MTcX84qRD7OfW/uIe7PQ7+WfXwAjB74KD+E8akMdFDl20vWz10NT15F1zUNrs+zPthpQe71wIfz2G6UY785m2v8UHE/Q7w1zzQsrar73PC1hXoxOdkQT9KKfeqAFohQzpks2Si/6tBaIM4i7EA9N3fdOzQJYQFf4H3txHfMVWHulgNXuTOXvD2d/uVBO8G63M0dxhx4gxAoAt051YivbDA+SEuem74zS6Uikrm5s2z8ZLJhuXIOyt54wET4eA5xngSL8RV+KB89frzvCzNjIH7vwXZNuNAz4GHiJ14FFMD0s9eanyp/twcda+YnYQq69OdOuSN7Eu1A72QLC6aU6F1KB++bmJmqA+pqh3yJYU6rVRYJI/D7+YTDaXjvRzViMrMT/4FuTM5U3YVgXjLwiAUcVxyTTOg95uQLuFJB9ttHDnHH+81G0oPN6eeaOE+opJBh/NNJQMULFDiK3SHmf+5W37j4fMd8D7rmSAKo+RbkquYZYM8NePsp772AF7FLiqnAwvaqsDH+XejkBLa57wLYIFmHbNJ/PlUUuE0XD7XfLInVOtQmYeMg+Bt8ZsDf33tfSYciJppnWZA8tyWtbTk1Dv7KHZLg6LCAngYtN9FSm37tbAOV/5QXbWi8lcpeVwQwiAj1DfWXZVYMRM/Mvdd+U6BrxRQph+V9xmHwPZXhlhP/5/6/aAoeCi2/a5ffsL+LlL/j5rZIbalNJdQL+DtotdI+AmdrOjWVnDDFloW6oE1C9K+hMinNfTK2zFnXMhLFbz8HrTTwa4RX1qMvNuIfnD5TwkEHu6B95jTYHojPsWTqH/NbrsysCBfTJrAfylmOxjeKjHoWkXYZ4CH/mTWnjB/EC/ID1vrzfacY9HDjVowBPs/7ctQ/c5Qq5+7UndTAFyus5Q2H8QcNCYK1ifJCPev+007FdFcuz00Pu9DqigPlA8d+cNAhCWCAORMiXEaCvWchzSTnhEg2MULRQQBvVgF+mhmwoI8KMe46wdrw7XtrnqH2+fwzH3ZszWSujyZqbNAILUd6UN3BFYXOqnHCP75xfjwaR4L/fRav3ZYxtwEd1LzM3XlizS0wKVBAuM9d9Y8g+Y2Bz1Ru65j52JD7CR3lRfqgYoL2Q/mxOWMsmKM3pSs7arcnooGdUp6LYPtddTh596WwqNnQDgp8YC0sjPuKZUulyV4OCtHAAwwojd/rFdumVvGspGTga2afnPkKMbgqQby820F9wZd0v40rB/QnxCzutxHEzc+ci/89l53yNmrEArypzY0fctXLlNAWK+AAjMoIeGrOkPoox/ab9PGtAmASiHegdeO6Z1ZlG02JgZ6rU+1KM4uHJ8xb6aor0XuvGojRWxOJwcwwb1uoY4S4IO7Dq1d2ZGoYzkq+u8r+sGDhfVVs+jg57cwdroXpqStkf+7UIqLSStifF3b0CV/mqwwnV3WNJ3vgKCvxxUje97L7fGjWqgvWyiW9DLl71nFKws8nHtuUh+yFxWzlLtFJPu/TYII8ng4E4Rf12VoN9swu80ZF5lx1prRvNbXwPuuA24nAkwwvTXF462VW5n8syM8MeCJKA+C3lv2lXnMgbY2ojZ8E/TV78c/ETIuiaMJdf0sFMvcpOyGAr7tqpYx0ifu5oU55O0dXV0aZm5s7KMUk6iH45fPE0m6ir4/KB34+lpYc20szTsjMpkhG0DnW8nN3sy6uxjvDzyz1MHOnSnv3nQyINYIAV91dEpcXCcVzgpKnBF2cMtuHF2361357OLnPFviZynB8M28b+xjwPcb1ZcaE70BP468KcCIZZFk6emKAU2a2e90j29yTSfTO+DA5pCdmLvzlZPw5++3UcBIowMi6aN/3fKdG2C4HfVI52z5zINa6n5nZ5j0AbrNFhXFRMtKWl9n0hN7UeHBA5TxKrr8rn8x5h4+0V1Xp/vVA31igNKKc6n+Jnvwm8Fqyvvt77y8acpQJ0jc9rIHuH8nrz+vkTJko4kkFmydgpVZh+Tyu+J5ArhJWWqTYyYyZGcpqJ/zdnAAfBD7Z1yOfRB84rAjMnLQ9R9jKNKHvXM4HTZRoi1J4d9KzBxbK3HULFccsGT4dusrlXPBFAaaKnzupnFTBjLIec8qDtfaVg1/bA/DSRHU7ae4HZjYJ8n7xxbDd5X32xvmJD5M8uu1XabwEncD40H6YOVzHtVmhjleNs7UpjcvEAZ5mwTJZ0pII9BlgTR7KJ2ZTkrvmY40XRvLEw9ZqnGl3cifNA77PB/zGwzIx808d4MUh7jO6+zI1nCPZG1+exMlgLaYVDzZ8ZzzikX8Ql+Aa+AFE7ZMINFZBnMP38Ws2Sya2/+iALS70lBUIaunBSgv8vttuZYP84FoCn7dD4Lc5tjzj2fgtHSghwKyhbpYi4hHX5YKHz5++uzSI8cmabOUcbHigperQJrO1XYfloxSqBE6UJNbTrdbW4pb1jsMPeNYb/Owe6og4rZ9WFZab85A90oDIhKnx9NoK5v91z4OZ+y038vLTW9jmjIdqmIx/GMFFG2dra/ZbH9LB0zkMHLxqh4azVXe7N24MjY+fjc1tyM2SWvPX+fLnVjOS1uP0TXzgREiJjLXXn1mzq864iTndVnlw2PBB38z8Sx5NC+hb4+EUZPbuxBm8UEcdfjxTtHzfN//fHG7Qhvo/n/5EYFgrcx6rb4BJmvjS3FMzPgj/QCNJ4KoH3mmMXRw3EV7YZQtrTwC2oHq5jS31Lof86VWkV6lxdAaJ/NuP7SrI4amSrz8P0SOaDfOzZpqcOb/mwVRAxMbS0peqy9bG4XNlzgYD/lJUOnzYJvXKP1K23XHgt7jTngonafxmq454pj+RWr8xnzUjYM36udRUGl91CbWiaAa0gX9XzWV2udUCD0Yp1HamVsSA+04ysH0yoEp2GN43l42Yu6OtOqhr8N5nRtnzkdLPh2RLQdHvGYdP4BmYsPcN16dmUDpjSuNC/+NixrjnFWHbkuzvCy7Mvd7WbXrQhJ2ak5EcM6rg/cUpjqapdtED+HoBSww6mrOGcaQi4/URvONwgD9bZIgOTb8FDS+/S8c7Mvtn3vL/vD7iL3PXkXJyM+eTNMA7+N2jEO2NFOhesvnVUOIY7yZZTK3pg/+ZJ7bKfRqas5z3HZ/5K0HIYw66NhHfmRl+wo8dqjGTbhvn+3nOh8mhlDyyYiew473KQUJd9jZpCBx8BF7cx9Y56i3DayrEbdCJL3MzkoT2VDvbY8bm9/5GWXbopHTpMB+hM3DCKlDHzMwJiIAphZbdIH1V9m4PDzbL0J4F/AwuQM2bSHFjWFueKKQDQEWvLKZrxfWjMVZrxp8PcLahu/caYhLEOzUsQQb8mofNLXGWIRegy3q2qU0voq2+c+u+ylHDz6ovWaiMUf5K2PZOeWbhonFKezrxwMwBbX688Fkkv6QVWMa/mDP9jo170m8s4KKTQo0ri96RlLlJ702AtUtj+p14AGvKdeWbeQutj18zPzp2QAPC5Nq8FLBYwH0f20BJusNSdskGPuOigm3GO7bWl985WTgX+J/xCMc+8BL64zf+kUP2p6F9NPcKT9aCzf9Xdn9LaGk34bbIgfNn426oR+KBbjqcAztPgz+vqkCE9DaqBPC5iPsqeG5UF7/vciLI3QjekfGaekBdpsBvU4gxO3OWU83Nfoi6Ae/xa+Dc9DJf8k6GFUJlTdlNos8lE3ZZmXs3bu82Aeg/qAylpa+ls5XMIV5tybd/L+gAdE+4qvIizhMbt5mQoFmnuOl2bh54SHRQWIEXQVwPNSxmpts94NETYvpDhdlD0QTyFuRJvx3OoTeoQQV5lN2MR8K5x0dg22/shVXSMxlRS3h8Eoycmv9mrbkN1ANzLn7urZ97bNTxIMunTvo6APy7Y4HmBFiY4pkHeXbJjI9+IPuTrU+mPz0J9M/MSW4t7/Nlq6bJJg10d7Knf4mD4Pdni4A6JIfABl3qNkPmAJYcq0JOeahtwlts+siqfmt6AoGXPx8UYfhuwC4GntFwA3wIeC3NHiRsXWz/zmy9lGPgQu59Q3xLScklzbdfdaCKfAAexdG9iiTlqw5qGxigs/1IKAe9tCPG47lky8/cQSk84Mn80ECuVvkdvrt9yq3W3Ol8KGG/9/Q2gMuahNODBlvQxgy0SLxmzE4yKFLEDTaKtYdqVR+gZ83Nvn85aLrzmNiwpt/VoH3gHlYCdZ8w64kDPLHw6VDeFmRUoFUIqFD9fl9SjJnBs0MFWAq87wszpHmELOruRK6nG7ezFwuCB43wXdD2G967I4vdHg+T2V+iEEO9GJiT2Luo8ptnjtCtGgzGe9e6Q3Yj4nc/9ixR+6SRnoyf9MlGl6Nl2RQR4DUTzXrgjv3TouEfqJ/AzV3SNsC3Eg45IFBF0V/76HgP3Bs/3nkmzuLXo/JKiNUGSTtfSczZ9D7jSEi3uwrNBVtlyrWaqEMSiXZl07Wy5jsb4huwA+8r1GxAZz3PHbNqzTHku5klK2h4NZ5Pjug+PeCFgtJdKvuW8X6qSjt4sWj33o8K0lBBDMuu3t89OQJnofhD6d3lTD/dc/f3CVweMYF9arVMdWQPXGfMfX08rcFLXO7mLuyOuX9vhEE+j/0i9ttvKu6L8I3n7dwntnqff71MZZeg1WpbmRm9C7WCFTT5JFkLSN8OOXB/apsZ1+iDCaQBNw6EqbgJtlz0BKAV8waZM+yZ1D1B9PJnTcMSfl+MGt328v/u+aZmNnM1LKcGxUYHBRgp4DATxY7Zn7Z/zmmbQKbwGY+ffW1hQdxwuwowBzx7cgv0SaeckyOvGSsfHHCRFXghDv4ys224uL8/K5Zhf2OOjaXFy9r4+kBNb6B8VNGEE8vjZb4tSxEPZY98xvEE7/Yo4fsm1sZOHOJIYfx10cJ6bXrKb5yS78whvLJA09syqYxL1v/OOEiAxjpqKdR5G3SYf/bRydz5yPtPKwetm9vIMh0CgATT0WmvuaUmwdS/WgeAFRATJk4ZQedImXvzSa7lCepzW424yHl7S330vhvocQd9wPdxgBeFoP3/JaF95wUCrYZffEBPPqI0YTFuxEKaaOoSyzacw7y7gI3qQBxyF8H9YTxSkk47QkO9W3d306dS9fDMYnnvmU+VjZYKTU/gzHPlS9BF2etkyw0Pr1bNrjcGOqd2cMahTsuOC4hDiDGJasv4aPYPjlAGdVhytHtVwsbksv0oB69MbPP+MK2F/Z7NfU0Fs07WE3Jkupx+/PBm1vSl8XtxTm7/OFnxUNvtkFggyNi0IwEH3a82vEel9OXYXP7Y5n4p1HMbU/VVXf64jQv6u2uBJIOCort3T6AvIzQorl0g6adKZ1YTfC7S2TyO8POpz+x0D7wO9Czg33AW02A+n40csFpLFrTfSQDV0eFfDajDoxs7RPS26vkeg/gh9uRx4b151Df3cVKD1hRQ8xuBXDOvmojtDWqH6TV/ETOjbfjzLPuNl+dbCzByqZmKjhYZG8ujJQUuF5UbqBFQ73kKdaFLBNSHUU9NkTlVMb31l0wErGy/HRm/bo4ON7FgVWbf0exmUpWeXLOeOFNc4VRsQafD2jj24zzofTLMsmaLDbrEVeFsV/pzKZ0poqF9g5q0lAy0hZjfXJSkAXvVbrkycbiR9a/TaLKAZjEzUUczy6104dnMs3BtZlNNnGMf8CLBBaoaQaTxqadIxpATUNPg/7F4Ad7zVEybsxy7Yfb7zJcbn+HaDxbQSnYyTqEadwK+J6GCVFVk6qP3AeoVuOrnJmdLcrRMb/bdzO+jLN8OLFL7BPg26KQMNINFQS+dkf5HRIvoOK15Qd59sG0VHR4YmftC1kby3SEZpLmrWqaRyk+rNmeQD/j7Q10oqNON24TE4jQO6fj3CWqnNB5RwPtt46dUXe5PQfvbObjbMuIe4J1f278ed/IsjM6JLdVpt+r5Jo/aj3MA/A3+emnzJ+QHiMmDfTb3XYaDq/yDe1oPz7Ow+zOKT5k+WNjsGVjbgwQekBU4yVY8yeLTxoE5Q5w+3vsb5yAusem3Z/ID4ufyM1fbIn7K0cy7TzvrZ1atPMWht8qhsTILcne/dZUb22rszWxUp3LmsVp3CTP+H/AJZp4cD7wcMu5Bhs+3v+gKmn1XCbXUoYcl1QXEgwu8qz8HbQwap0r3Ww8XO0sNWxvwrz2u5Y1EOmTO5KcBt3O/hPw3tQ6VZG1v8FysBA5GGa5yW+WNpd9+XzIb8aIiqJ/G7wjUR21P87kjyNSDvJCoGVrLzBqD2LAr4ISwJlfBUUi7v0umZcg7XOIBP+tCl+VgA3qhtXT7F/FjiNO7LcRvD6fDA3RifHcHHP1Xo8Zi4XzF+y2ma/agOt7XBZ4Fn07JcHfYiL9KDXlfcFvaeJQF3ouotTLONs1KXtSCNdUyr1G855qTiuGRgq56n0mVbnwHfsrqaNc2A4ZYMbNdt0+IgZ9+mbJoURUR0KzTBX7mKgL9SgEbgGd1PDL+rNoFnfdkDtRcRIrTumvlquTZxxszo9O4rP7qSn8HPPjzkYBeYn3s5ZYMsssW8O6PBXzYxQwfcp+kMgpu2OkBD7RfByhKen0BTZtyHpvzt4BasUwBSxuqrrDW/clRtvS5w1D77lsusDttzmHriIKsCSfsrD+t+nUHXOKarDsK33lDmUcgb81d3pSIWUpHgUrjBXA/L2Vb2oS2XQ2I1hAnjb0zHpxLjfo1s/4Y7HpzG0+6/IP2aqUhPyWRtrgL726IX/JnbvTnehY4zsTW52O7I4iYzzKaPGeWmXczHfIwcJiFXwKh1vRtlkxKwAr4zu3xrAnoks/nb03hOpCBLIwHj1p3e8Z1IgF74XmfnCdrzvA9c0zPKKKV2C61Nc+Zq2RuIa2CJZEFEtmAX3Wko2ZoHnlfAvPfzZJP340vZzVs3rGh/7tDD3gwbD1p3V/c1QVguwv6Mm0EcGameqxxXnbyxLS5NxsnpI/HJmisM2gVwPskE+jBnPmLMRxkazzSonmxyxY0NiGQh++ZCxvcey3ty4X3HDgf8o0XAImg5q5qxmh3Ohf6o7HITiDJ6IC/qSPDnCrc9HKE/DU6+gB8acdZ3CsaR2xQErQkMTPeGi49+Pn3nccoF8j0MDm1ywGD0dgMlo37bf+/eZb43HuB4tLMiiXlumN85JusN97E+Bu4SF8Hy4JH0EJGu1jbj4rKU44Oq6CSnPN5UYy/Z6jtDBdOEeR+gDJMsTGPNnF9qSHfJSIP4mc35ZiewE+7FuSb223ZDE/AhuSW7Oe8cf44wMuivNtBHpBY2qjnNgJO1xZ8xJesaN+eGM+jM1lQd/8lUQx4W77YsGUk32Z02HaKI+/M7C8esAX+u6gc5KZoFwBHlNTRnYyAvQzbE+6xVVuLf+5tbGauSfgmzRiHSYeDim3fMe/Waxyc1sYj4w5n4mn40TVZdxFwUkRWvGsi3lKkL2ZurhyRwRgsYN2SELA9an78Vc4RHvJgW7LQDnKXgMaJL3SA78jsFxt/uagDOXtIQvTKNfpKosCq++bB+jaEWhKRMXhy27h9eCcxJqZfwxHAQUBXOzmTrEHakuKPlfvJA3RrB+/U9Eqm5jwN1mBuGHCnKHvzjbUuSqhLeDrauxWzP5CnkNfWokkHesXMkCl0mll2mHDuJKHpiQVuX8Rm5orPnPaeayIbsV2ZS2a5HpzqZ/ZOvNA+/hKhzM+U9++9ypzpkVtybrSKsLW0DcM5cD8zjwfq3PI0SpjY8akJyKkO7Dvo9UWusazW9sStu5WEXlsOQJf0p6O6xnhU5sqxd4xi0MPTAjz47dE6Zwx4n5lvC98Bam92HuNT2SXuuW8WwJlKCvlPmnnP4d06us2rEXoUgFiZ/rvW0eSkQfwAfbjW4R8bvpcrh+SGw3JNVuxJEX+U/buPaHbUiDfAw23M5V2MrUNe2wNo8C7RUogO+3n/vGW9uUvc2sCvJ6Z3N+Mf8TPfsm8/GrOfzlV7vvx5UZE88vyPDfUV1T3CPMQ3Nuh3fkHcfi6J/XlLw+QGnHRIqbqA3rDPA3dEhHTy2n7UtPfUa84y0PeKbYDj9w9aXDcn9wrfw8saF8kEEZSv2GDlQQQghSn6FiNgUEHevSLp0UkeR1tfQXNvMNTTjAEPHYO1gmcrHVklvbyC/sry8HqjHT80wuPMjxMz2/UslkvGZUr83T7v2pcI4x2z0EMMrSsLbvrmeubvfntTlZZQuz/dNNj6x/Vzk7H+Ad/1YjxeUoaf2WBfUgo5ObYDsfVLOcDvA0lLvnuCBnieB1LWQic5m6YkmBdmKY/RNkuQIo2eroT97s8HDTV7a1PK/cwCjCiJ5S2l2D4hrmUJ2rQqiKj1FNaDuXG5jA1U25xKVor2VRZmP4JD7KKKuWgHOeCyYPt1DnRQ+ySrKM6h1r/PYUNVJLcKNLEc5bPW3GI2eppZgZXAH8LX5FzEVRXwuAbdkBW7Q+3L11nvAPvlkdrkhiOdVV35wOHSqgJqHNSz2jHfKf4GfX9l7P6Ow3+q36Ky2J2A13hEf9oKcowbP+GiZXmHLrS3R2F8llkcQ07Au8Ux1KkTcKWQOxq0UOzUKwGtxm0VEJEGSmQOvGvgDOchuyXod28ZPlc7xiU+cwx31inUD6/mV9B6Kk+LT4i5wDFzJGuXJEm4jZivRZZvE8jzf8R4OzJ0oN3BrYrPNQV+wIW6Ha0tV0O5qcfp49y17322B6ihF9ScPlnVP+BjqYlT4IRBYiHgpHo5rfgfHgEfKbqKYb7A796dx+aJQ7kHFXGCf8x9ohzyg5xDO4U6+5E58xH3POEoHqU9vecUPyk/LDkiwAHsMSviHw+FmpIc+ISZuT41UN+UpXzcq69ctz52pjZl5H7uF8KjnawibFOHO+fL3aUAoIn//zH1bd3N6sqyf4mLyfj8GAwCYyMHoQvoDZBHCAhMbGJjfv1pZW5nnYc59toza9lYqKurpO7qlqf98pUi7AN3dkXs81etiDlnwIH08wgwn7ZeHhINWg/48RQBZpeK+60ys6tGUp2p/8gcdTRz5hjwEjPX7+CS79JqA0aJBp1wlQ4p4P0O2OZYOWbiu37VRw2ZJa9mJoGyNaVhuFGWtyrNy5LxI7O8r4OlEOj0J+NoB7rgCNx5JPA3+cunfB/21b1aNcmsLeSZ5AC66yLQ5FSdPuVh79b8z0e6zzU+VBz95CtnuctMvZk5q/utA8PWlqkIWXxVfUUhn6LskYa2XQc+zjlqU65kau8fdTjFrOdc9G2eCh4cf2e5EuPpk+SDfOE8Bu3gwm8JGTw47clyNrNsNc9TJ/GO9kSqsAW56iPYXxRiapBOa+dWG50KlR2e8ww8Kf7vLmCCn9s/lJCy5uTjFGiriZP/3/fgVFPVgp6cVEeA78kN4Iid2s21CmeTmyEXbR+g9T54tCCIUeOTsE/DcDl3sF8dgs6h93YGDCtNrVxArjIyfhHkCPo9M71iHKG/e4ezeNzpSvxqUAmNSXew246YVtDQxJmkTTENiiX7xm1TwChq7kxzoYuDCwo3wgtkskfZKa8cFU8pvh9drMuVY1ji8Byom1z/5wMD+y4qzR210DkFvmf6MkpBzMxT+0zJDfdsAb14q9Z3l/V4xgUyXicz4OYhdRoXdA6qLOPHXi7pAFyBvjulC/t4YK4cPxfqhq+a22fZb9Yq3ADG4PYEXLCx+P7/7m728HYGMaSmhxXng/dzHjUVSGfN19wKsf0mzzmmFiiKr3kWwo5PoQSBZGYrl08aIkcV4Qa0/escu0xNA7jNf9Ke3Wtnu8tNjxZLcBW1l6a/eIDBa4W0p0KdpcHezGFpy1V3TeBPaYCNj+SkTFtZP1WyXzgz8x+tSYCOS4yHt4pur7MU4MroAzjSG1uBRyBp+rYvVUgYPB+Hz5J01AJ0V59Z7e85NKynU1N5A5y55b2S5oxYrtmVxaAA2JLiVSVnpFexm3ti+0Nj/82jz1JHU4J4kX/NDmH6I4fcCHsZ2OWnd3TalVj71Wjc3Jx3PW9XZpt+imUH+OlSN11lr/2UJnfukr4EjpOiacSDegBvk9yyQWv81c59pF9b9zxMgPXbALAgPHeNlbNwA98XZJ0eRIB+SM8LwC/Iu9uBFxNWgZ+UDrlXFFSesHU9Zm45JGH5tb2koyybkS24+9zAugCek1dNu0/X0NRLFaDfn6YaKKXZE9ZhAu1klb3n5Wy+Arb9AGf3mlDe0/h9OYl2AZ79OIdmDmFLsSZUIXlvgKnVgw7N3b7qfIsBpuP8b/7XVXxt33D4z8pGbnzIbMB1RAfgdyJbMDX1vm3KxFIqV31B3JX1mNwyho3X0cIcz+QW0O7pFfaLMHPEsatzMXhMFp+W4sQn1u2vRpq7LfBy8lF1fkWY4ti5WOXQZsAp7cxKLhhi5mDBU0QI9ODvzKSZu8Cz2NbHDE8Z6GJMP13gA9804GFtY63s3xrrGbP+gcPN6260OLHFy7Qv0n7KKP9caz613EHwLiTGbhJmehIk3O6rgj3T4HM5hZ+rCGcCOi3hxs/O8t6ARzlpj37rPVKBnkwnPmEb4LgkAox7+aU8iUZaBO8Lj1LzGSEXtvGcDnFo/LrwApogIf32q+k1Ae6+IT2K0oJ0lTUbLgrv7dPLLR5VQ/qUDDiYS/aAxxAb5QK6oatt/jrHjs9DAhz53T0xmcgg6QjEytloVqSXKlIDo/4OMPLAY7zUkTycdzMG/XPLg+ZOwqU8riBFYU3JSj4y0Zjaesi5sJfDdiZahXW/f61h0tjkTfbeMf2agWswm8TtQAuITeBKOUI3GQEmaKO1CGpsjpg1Q17E6RGkSGmj72zFgeEWZj4RcJTgzJMHp9xXTnmHp9gL/uchuak4PhK2pbBqD9BCAehEwiisiZMA/zfz+lTABvw89+yhXO7JAbRMb5uc92a8g068DUTQPtPxYs6vfk5iezpx/4utuE8ZoWfx6hm5LVxMxg/olMM7VPBMbLcV3N7fRZhtKsfb0IF4R+th5YP6zmzsVuH2WFuTmauZggYvFPL3wOcTZicrrPmmYkB9wgTzANZL6z3R+HUXIMwZOXC9g5mFB/neNk5aFfULPPInYLHx4fmvVtiy03OYvDWdpo1ITLUorobeUmw+AidPgNvcBZM32ikN2vqBB246tqYzx3/zHUwPVcO8n7wH3mSrnzpESSbaqxoWLGFPU+CCtVCgtcPFVLMZjUQh/itWukdHga5XIwkwaG2dn+I2aop2VoP3hY3nI59mBTr1daYHWFry+PNexeVdjeW9Mt75lvedmdlZliyxtXdwh6uS2U7J2ql2LJtrPEHuwdzULX79u6e7f/e80BUVG0cav3PK7qciXY9W84Q4etWmein7dxcIxRAbkQiSZzp4Lo5lxoIWeGF5F4VvgYb8OkdmJgo8S8w70acONz79bLpklnaF1hc5mrnLPMVWaFHg1fWKWnMfnVrbl66kv3NOBLpx4zNtyR/AQ00Hyy1dfSiL7HlwpjuxVWtqKLMhiTCw2KNVWmzdP0DX23VvOVmhCml5oGqtK+HqQxp90CcujjCBHPHivQtg8td5B8+Y37ya+hpilmGIOdDfC4mWnakHqP+rB3gwM7OJJY/cIRMe1SkT80M64ZNEW8lBSYoRcd4nBWAmcC3jPeuRsiAvXXlPqXw2A+CmtUAkoUvNGqty+U51oOHN/K/ezFqc9ipMjmZW7TlqnkTMxvcQdLR/B811r8U/p2Kqhe/UkPshzyd70MskB81ed/J/XovhhFiMijPvzdzOmceAwUF6N/U7aiWdYP1SUv2l3Pf1uLbdYeVmJgICrj7m4WyLsYS1Qg+GQFPb2mOQH07IR417cY+uiqv/+ZjhgztVzUo0oOXbuZ/2NMAYxExZxRnklLYCPRcA/zxkdvtbT0sDPwSeB1wbY1PPyEKyyzr8Ix1FJGA0aDHnxLl7FvZw7vDciP3/vPti3B1XPgmxNzMGQceTuRqRbsYQ/qYAgz4dyKe30277MHMcm47MddA6v3gRKZ848qPuVYR70A4rW+XXVlZr8qZouiGhNrMGXz5LY7V+mh6ouBnxoRy45BD7MvY3oB8IcDzImcaBQi5NITM1cvss9JEVyEmZuZ/kbQX6FvbDTHt0gry0nGDtIY90vO+XGjSVjMu/mvZcJ/sTIh6LIf/o943ql5TG+oNw4IPA688h4MzAp9L69BorMfdITxVOXiZCl7I9cF30XVsXW8W+6W9LaYQuaTjdgA0xOpKVFv6rzqFTViuakQdYJPQcEYh/RGScOHT0ueKfGxagN1NnZPw+TQ9oZZm5P+oAe82FfGdXziSYC1g8TD1o76JaZYIDXzBg2jJCh0r/9Y0eQDu+0ZhnZ+Dy8PsdNqC4HnEIfAZXcQLxK6+AbQERSQI7KC979SwNjxjIEzTSLh90CzyZM/dyp7+zjIzTN5fwf+/Z2JjzxuKllysdOmlk/5zzmZ35ZOqf4nPf7kS/Weo4daSNaGVNoA3YNStIARz6zqw2h30UV0FblWJj18AtGAqBAd3sdLc9NVFyAz1TgnauZPyabXrbnLj+Aq53UY4qQVu+0YB5zaq9s9abU3x58g70SgfUNmjfsuc/q+7bY65RXo/tWwo6tArUhF1pM1sdyl52p+DTM/PO5FA+gG+UxJ5eZ7Cg1/buqbisFLgCYEXHQhyYGmczaw0z70ED/ZAhW5nwRLqWlrJmc05zhb9FqR0uxFFeg/DDzOvOe+9bBuRbWurQAEs9rGYqyPTi2KYmD/Q5rMmoWM7Zo7anII22IYf9LwUuGj4V9WALyH2Phk1ryuyu7vivp0rJ1aa0ZYRHybFGYxX4ZelwM3tdEgv2zRgCds2vM9jjwQKMdfgG9HDJaAKMVpKcAU5BXiAW92rQOzmVHoFnrU1vKp/MfYYPfKoTgQYiwNe8849EbDlBbST6eZaOBXpH7ZsQlXj0X/ywbEAbpO77AvE8YTaPNAL9AbqnWRVwIkml/eutO1TPbcqAKuWR7CVK4J9WpIhP8A+tOMqBW+3Pg9wcncwjQwu4z/fnjuOm//9nqGXP3MxYYxczh8ScY8+8M76N+JEO8JsKHDWuvGZPiHs7IQ3wSMCUPo9MU+R8Ay5yEBxf4J15mYU+WKgHUrTZeVjyzEYCOMBrDUEDAS9m840HSQq6xDHn6ZWdAjbyrzrWtjJ+ef0cAf0r2DDvqJm9OfBvyCmp3G0ByLQAfHxUqH+auxHgLEtWJMJ4pirdPquQv3oQ/NL2Q7UmF9hPz7oI79iZd0eHOfBMZQ06loRGJ6NdE6rHb935cLFZeFtAZ/m4mNZT1AL3nivjSdCsyYx760F/7zmSH+7iErT1350U5M1SsTZtQm7qm39g3a6i1xR+Q06s7Z7HMj64Rr/xQQn+VhZtr7SeU63MmdSehMnXiasrFuX9RCGnaUzPnBcikLKJ1J0Or9ncNwBLPwLt1uNVfqhxb+PgfRUxHyoXeJFlm9reTdn1G97p73T1A1MNpwIcwj67097Usu6BC2/nfOQlYOTtDDnInJ1iQRgHfnBw+esu24VcEOW2/GAFcemYgpAHdYrkQntlmbnHpa1urPCfdaR/UsgTwNsFyPaId6jiI/loAn+uB/zDBLlSgdk5nBLpoEQMKCmZBznnzzPN9Kv1eb8Q5nDgpBCXsZ9IQQg1vSdOy6oOUSJswAndks7/Ulq6qd1WlTNvAPd2Z50sNJ8H/FuToFnqTh5w3T6NCKy/2qTPv9kfwB9KL199C3DUoqG3Oz5nkTG0KMf+ODrzHY/4JCLviTnhole5inpHIrziVb+dQ+t5jv3RnBYdrNumDtCjoYqAnvdrB5WAB5pE+sUB4DMSWrrmvfYuBW1+ouSt1penBB4nY3xSZk+M2cqGi1V3zKsdxTKmAG/MnN9kYH1oYe07h+fWcPgf9XW7gtZ9qkg69bDcjs7m/3p8bhbe/bPPuvEOduhwnUI8L79zFuTKPayxrh3jF8nzcn1/Zq7qziN5UndagGfaGFQo7ox2lGPj4p/czHp3kv2vN4KrgEe1A+t0/+Ki2Nncges7tfWwYT8/OZfkFISe6tiDa97X0XQ0e10iXyobsaNlP3Ob3OB3hNIF9jQo0/fzzZ2kx72pSeNVxSeccT3jMBkqhl/nh5aI26UBHDjH2gdd9pVrhbiDcyrIgYR2rlC7HhzAOxvPqY2ewO9cFrUV7Qhw6Q0gDO+yDjAYckEawrvWKmVDcsSgw4CLTKWwX7hh5b814cDzhH7Wmp9IrIY8TK+mVoGvxieUM4hpc/b8U9vIJQ6wVIpy46UNVOort2ymnjeXQGQqMfc5U1a+SnhGLPLx3ZJR8upfnk0fMHBxZHQG5MgrDWTWAG+unNvD4CEbzcxW4KvmzFmgr0z3pnb9I+31DrR6CLj3YALtQOt6wMkr0SdH7voTsRPQgQRw0n/1E3kNWzbART4AXydmchRbhLSaTc5Dy9SHUNpaTejNaddS8jUL6kwjhpwLuluauRaKQQ7/2l7pOBUlJ5mIy7VymFUCd8gd/FaBTnid26TMC0pzH8iyBzxbVLvTCT6EqZA8Tf0RERxwbeZCtA+1qh4H5f2wKvto9yvr/Bvd/bOyjhxBJAP2Eiy6ZIT9++Ac9rYLaGq9/A9vzypCV+ykm8PztuFUm14LwJeESGc2dYtfWZeY++UeeC+vB2WZuY+VccEW7YaAgpKdvkpH46rvH+fQZrn7uQE9+Exz448o8zOwnNd9ZRowRxoP/HwLXFnbGDQDxHuWCw8dVr3nISlPRWJmubd5v9Wl6XnrUHqm5txkepYWSms3QcBjD3z1H6JHbm15VWMz+Gx0hX/3ukMsUufyaEIJfCOzyZgcUnSx4TvuadGusm9/+xtA18+KSsg727SJ+HcDzAD0jGXeWz2+O2a2lsmdEOOmztjUTlLm/vawHiqIs9cZUTbMQP+Nj/P0UY9+y0zfbpfMKVem/3gt2aKpmEgat8cG8P8ctS3k7DdzXw+618ZukmDuH1M0SekklMVqzHvkVeFCudtCHMlXrzSjRbMaJpnzHrjzNkkj/kFhn5yK6StdUzMLsD3xacVImt7R8eggC7uZWw/bsQmn9TwmWSqQJRAXkG3fmpV/VOLzIeMJc7v1xKBfmqjAceKKiFc1v/zWWgGfAy2QRHUB2NbP3xXsaIIyC/JICTyhIuFlkdE/19zbHmzjPyMf2OVzBZ+hBvJxonLDLHQ5IUwyS1f5kLzOHN4g31Wqw1caTWZ909+7aYrt3MxtDj6vefifdybgEmns9gM4G/xtseAXP8sR4pX6GFP8zOn+WQt7qQS8Nx3elU4dZXnmXPX62vN1ob8q4Aek91haJBre7564euLW9qca/Y0UqV26nOS/M+LLq5mTaWalGb9CCD27GZpNE+jdmWaWChKWF8qnPVuzDh1BH9hYX15nsLHipEwZLnC+tTKx8UiQXGWYxFWYOcT2rySQS2Z5gEf6CNz7QBCKaj2FqUZ3xaRugtQRHVrOXSLORYuU6U/SCqKx9ZStPMnV604KsHxjn3tOqItg3/jAOxKRCi9R9rtDogU4ZuoRNneljS610F+0KJ1G72Gf/7Mazp9lf7FTyAcyljgTyRM/tzFf99dT0epGyyV1vNeen7mTWWaeIWjEXfncXmhkf5maIm5p0BLG8wX2YDjhJjKeK7BHRW+XT+DyZl7vYHqukgyepRIh5JR++yTW7V5ytAGOGGUaWAx6zby7wfpPdwE4W1pbTH7nHDzMGQ58hmylkJUKtzOPyg0WwCdMRviaJXYndo684tzbgI/qN/fnxufMsYfzmDrU8Z6ARZxarZkJ+XcXYPYEL5TLYN+ZeR/w7G/YyVxs6RPoOkE7dG3sJD6DDpFikSRCj/Pwzzt/zQ+qCSOUf+DIu0oKLGBVqdEKjduS3EpKDBiL8/mvhvNgNZ7p4QK988Vo+GDh7J9i2H263TemGoptb7Uj94e1ZWTgWg3LqRo+rRPHP6d8m2HQkcBlgafirAF9i21+zSnODs7Dbka1ofzls3R7gna9EAu/NRGJOWj9ukdJVrSd+JpNXB/I6sfAS++8A1QYPKGsZapG/iHNuUo/M+DSj3olJ8q8u+nNoGN4ra1/D+ABpanHaIpX7+3cpuE/L4/I5vy7PvJSivkpw63mbrKjNvdzLn/PIZiAXGDjXAh4t6Nvceef8YAQwF/bhstAITlXZp5swXfGt9t4V2HdFqArXt+FqavWZkx2kLNQvjIL+JKXMwSsEDT40DtVHALfm+BZkzcOuY51vaecdle7uG+Ak+NoO4A+hr+TD9bjG+X9ch4+l6PTur8+t+zPV6QHPdISx05/57UgvsMOAa09PeqCT0DcCY7sGxtbmVmbR+NsXUZ9TgevSHu8K/t/G8Umpza6IZA9M/0A+tPwUguwITNeDuWQvHSlz1w01YG/0nALuae9VyGmoD/ukB+rVPM8Hzbr0SWHuteTCoFfW9KCvXnnHJse5x/Y1yP9vb/0Hg3SAXeU8SRKsDPd4R0gFVovfvjbg1CH/F6H2+9m/c8bPafhvRFb+J7bBjAvUs5U5f3lYe4aJVswhPNUR6g6Fdiv+qXAxmeIZvdK76+AgF+5sy0qV51E1xY1/euFuYgeY6yBg9ltCtwgzHubCUo8Fk1vgMOPPAZ8p7pUtu+DhtyA3qecZ44EbDrafgr6ooVojVTYmNlWRzHI9Nxbd9MzBpzcpbBv/3pGXFM/rVnT6YqDJgLu7p3ZdjgPZM+69wftcM+RqRlBuzTQGfAyj9roDfTOf329Lt+Jgpga0gvgmG38GOugfwphH6pRwgaeX/qL17G8pmZ2XNfax+dtLbv2u7L5t7IyiPPHHYfziT/hu2k71aMsUjHfFezLg1Xa1MLXut92wA/faGzqCU2Lw+f9jLI71snbudPAo/TLG/MO3+XR/lfDD5WDdyxSKS3aDaaZubd9K7/+XVOagE4mSQ2fKUDXqC4py7W8mh5RtrvZ5drej2sCeXnjsaG8kvzfHbTsHbNlX3d/HndcBI1TBek9F+1ddgk6ocuz6jcbUaAHidRHpVGBTc/oYJv7/wMejKetTIj4Bxg7WcYf9revrUtSTPXHqchWbNlpTvU31RfYSPZLL9N8TD4g5/Qn2MTNsH0CAltnwJuUkSfgeaQA84/uBfjF593MTgdN4UF+hPUlHlnxFbTmUdrAGUcOnLd9g7yLlEUk5KVFCHVnxZ/nzG+Ncz4gWQOVYta0VKAFTJ9OzbyQWwn8/yo4dy3ss41j4vTEk0WhqZCOXBhK7tT0ro36Iq1lORXyAXzW9HFdK4d855b8Yg5+6eUn45DDzdwg2nLgdgSzhOZMC+JolAMfqkL7DpxnydZENvzdwqjdAI4Bx5riugCsdZPyzOwR9jqsqfw52KYSqHczy/bPO9Am/favN7Dk7146mvufKSChivI+XIExjpWYu5qjvB54kAbvT1MDjKn6+T8PmowGvKxGDFpO3vmKu6Pz787FfJMiXEm+fVP9wzHnEcARX70wexKDqu/K69GdbBrppDF3UrYy3gPPdChd0wMNnMxPB2tNrelkav3U1z/YP3zH4ovLev7MYP1PAbua88J6DL3UePoiGTQd2gFO/N8+vLnKeFNChKe/Pa2yU10DPI1/1ZR/w/50q1hlLID3DxLP+AOkfe+Y+cmp2MZ42DilMw1nw0NDLBuxeGnRAw/TP5LiG47QN+P61XeTnJll6gy8s5YB6PlBQf7LA2XqaJEI8bG2tm0m7OgUyTxFwEud7QKapTsFCrgwHs8gANSKBXBq0GfcPReAvr0+1gK150Gu0iGvs0oqws2SFviDGi+8orXO0QIaI3TpyCdFE1/oyXh83nMLcyUeS8omwovp1gAOAir3mPGVDm3ILIhLa66oRWjZkxa+/aPWmIK+e533opxNPHfm4ozUkTnAz2K5qwZ9UIhbTOAfAdwdtJDIbWXu95+YWVbqhs/UIreqbzaczfZ5SBZaTAlx2iPwtVXC7oD8smlQsmu0evFDv7GWMKUqw5FmZxE+KoYZaHGUa+CwDuEmJ9V2f6/6bWTmKstffzt7StfkrWLbNe3nn8riLnB1euKlY3wvJJ/uZ9E43EnMucLLe/bIbMAv1i90VG5t6jQBWyG27xkHLggqXwR+WK+qOw/2aPyeYC9e+Oj753C/1DR0ufAgj8O+s9oy1Z8b0C0Z/MYrLrQG7recxJ8XgT7nNy/VCtVUGi+o6RyQYy6SL2oTmXY8aayEM5rZLLJj4IVPWIeiMv4R7h6wHP3qtVNoX+ths2TufimHzwdgfAocrgQerUHH//U7mN8tbePv/VgpIgfgWYgM6ksCVhCLW1VBHocVYqXHkIuTu+iTorHQJtNoPLo+cCMulW14T28Dr2acog1wu8OZJx3+2hYNxa9cqVknY8GnHeyRyMzEhWwKPAD7zeoHgGeAS8mhQeQoCk5AvyYNKEwVqgCeF/YDpnXRhvC3VcKeyEAfSd27ysz7Dvwf1u+XMwr/+uir+N1jOuFVtL0yh1iQz8NTZGvRL8kpbjEP290Z6WuujY+q95vjU6buqZCno9WuVdFSeB5KosYydWOpQxi2toBxNqxZ4jWCvPb8XgjZVs7lXomFKtQW5L/canqFVxHK/Nev0pkRxP8OeODCNT4e3dI+WC8ulCx5QSzTNypC71qu/HrmytSXZ3nHnznCL68PQnS7ERoislcQ48tJfm2/MOSvkvEN4N2dA5ckGt6JBj1rySilchTAT896gh2lTJ1fdUaTgHz6JZh1r4Bfl9bGYR2qqhX4iSNfGtbObAz5j2SVhYHrovJkvBAdLQEPL+ZOOWcL8EByVfzTrS1OiEN+8o48JNL7ZmSmn/CjjhFiDLQT8JmzIA86/udbLHX2PIm/HrqYdm0qBxDtnN+zkV9lMdmgjbOm8E+VJpujheMTlx52eJJH0/78W9OABI1lZnwFcdFcpZ5MTdVTcT8UY2bmGUA+4aeGtm7NXth7u9IesBm1J95nG/McJNZuNb7fTzFBVeRV8Jz/+b3ae+MF4Za9NnN43yqULZWpk8y3P/lo5pIlFLTeBw5tUlvAh6NlOAuVApd+1RLn5wGxNCJfoBqifE2S3Pq0zUx2IhJzf+9wPoE2ww9aAF4ZXcJ9UYoWAb4w0LtrNfagWUGbAjciLnPOkY4Z//XisRthWUdHv+oqH1Usp4PrG0+OqRJolGFyglyVEcsu0hC/lWyOMmdvExcHHF3Wo60nvqIwD9MnvFO/7MhA4F2Rsd2fh+yZO8nxHBmv0O03tn0zl/WFUa1aycCirbnPBq47H86m/i2SsG66zSgfz9H0nQ/b7Gh8KkPmckpcInQFfEADDn3k8cWioM2bGDuSJTvQ0V1jTTbkzzuNkQW89MVt9mfRPmQ43WpEfk7Un/KBDHL0b3iUwK7N3U1ppaj3Dm77YeI1N96NGn6fy54nmnrE8qZyaJZziK4ktPszQE/jPCyCWofSTxfT9rUPQ/XcOpBLxbn421cO7OfHrxdD3J4gt+4hTnhum/NCMgL3cEwdLxvxLQPdSLXaAJ+KUhA0TKOVr/6XqWOB74CQ8z+AJ7/ObSC21Q/wsKvk75Cj9o90NHUY+ruGHJV1Lc/6aRBBq0mfXPJ+LkS+7dOvrZV9bf1MtLvcIR/AtZLULSGOPUhP2BUCAz4mCHjL8dx7r/f1zDgi5aqdiu3tvJNH3CcfymrfqO6fpvaq6vvlxIDj2nLloQ7Opq6eXxbgs4hD3J47nkn+6eQOjkFLL6CtNixsNnWIorLYL6bG/XVGZM4bQOuXvLchKZleJH1VIaK543Fz+wc5nR7sz2dK8SGzVZxGdqiA8wN3NVrIqdwEsELldSFt0em3aiQc+OtFOiisbBwIrl53AQu3lpa4aK5sdMs7+Fvng7YGDFm1/s1ZaxLg1e+5nrCKkS8oijOKLchzqyp6h0CMKMBt4EIjHade9uHGzCkD7c0YWzzQnC8/8wPkH5wGrc/CpOeDTWjgg45IHzlHG8YT8+zGr0KSr/mWDtugEi2lYll5gI7qeQMe0N4bK/NkP+1FNKegSQcWfFrlsHfPvZkF/tc3+mGqC0S/WYHjaeZiVnP9lQ8e5n35oLY8Ab8iZFQp6IoH4FVUcWK8Py4p+ryyQc6lK2/ANX7ObDqanhMJ/N70olWj8QDVM0Tdy3fukZszyU5HDegX4+FFx88Hs+VPxW4OrOuQ9eU1Y63IQ31nPWAFxIMYJt5YwMsg7KpVPquCy9TVp0zcIF6U8TobMNf73DazaV7zbm5e3c8RY6bmEniANd1YAZzFZbbKjfdlafTcwqhvpev7ItjMCJI4Bf1TrUqWvW1xNsXpoGO+qjmP/RE4Fz8L/S1jbbFIW6n1qqmYaWnZEdcS1a6/F4HszkUIfKs94pD0+YimtJOtYhb8/vRJ2QJaDUgSg/fPgAcWvsicf4+avq+ggczETmrOL4g5r1/lMXPlE+/+6mCdqmO/9W75sPw0o7LYqIETIB+wTpfDv+thBSxxAXnZcjtTQkB/tE1EbqYvmf/2iGhy/poB1/lU/+od+chRMskVnWhPnirSr3PsW+VMYwbM5+gsCRNtktnSyhxMaeQx4Pe4HDCpbb4T7LayoPSI42lpvF4KMpv5RY2erLRDN2VZNvDk56mYzF3hco6lK4J3O9Pkpb/eQE/lNPYHMbIV9pTNR6UBt8YT8A1zjt90kPWteZGuTKseAZuWJbNmUIDAJbqEQ155ikBNgAePNMAzGxrQ1i0jLEmBJ+Pz0Lz2YZ47lguf/cgj7dS9CjgQONJfFiLM/MFEpy6RKgA8ikKvLJiFVxxW8fR7X1kJj5nZuCVo/dyxq8qefvVrHrQZMdyGSo+7zfI/DqB3hxUZT8g7rLEnAvw0NWMQ360s2i8xEk8J7J1RDzoZRTlXw9HmMzW3og7KqyhBpZYnaRmdOeVmFgXpbQI8kfCe8BPDr/OoA4uzBfgTcGh0BQ0fUDPviZNTbfVrqluchyiROulLqzReCqXQysxT3clo7mEdl6wnkYwy4zdW0njKsvxmq3Cpaqb8kikpevLCqIqK9tq4ZGpCEgmhx1TruXSQICNvUwdihMH3w/qfR+ChwzzmPR5zPqGmn53U5bwGXkpNj2jUfjUW6CiORclD50SBdxbSObrqz9fR+DOYWuMU8OXMsytw9oVHOlDAZQjoYBpN5BTLCDsJLjuU0rXtGOT7bFCujNt9LkyPOF5y5lWmzvwUmBot76LccoUA2aWh/edvk2v2YK68Z85mBT000YFoaWroC87qYO+eqALt/7k5xc3dzD49d59PHsksK8ibmY/Bw2atBMRNrz8EVd8MOBhnuOW7WQNHcEHfvuLrownCK2D5B7yjoTQcVuOErbD6tGVy929zHgh8Ht+oFZR4BwRr4PuG2aa3zJMRqqirkIjwB2TiCPbYj6kJByx1G92mpv/CnFW9eJTomHcSyw24Xw7cLzuuRJ7oflXR9sgidS+d7bFh3qxG3FOBElNXnIf/3LLD9wPsFshjFRnNXE7gJ6O5s98u2G7bsjfzwxIEGPx6XyXkxzcckFs+Tru0T255X27Y7vYoxxQ0tpmHmhjvVWLqqytB9jKeBPBwXTN8FwUCBH1/njVvyaiBm7fB0fLefmfUUD9uKOJEl69zttz07sH6Tqzor7xQb0xjzfsWpZEqZPF+Jf0SVu60SMjHFWWPPIQ8PfQPCfkecL8jXTLk/bITVLuEtblgcmKO1iKeYhIj0Ih/vvqDGkM3E1vj9xUB5xVnxjELpw13vKKkmsL6mXmdUQXfDc9JmwI4iZgXzPTTzMDjVDLIQFVevHsUsLgWCykHtMB7zBjDqGJ/NUt2bc0THtqJQJ6CHHIiQSKYM9uKTb5k5m5p8VOI4XxVOR8mh9s8yTi+0lDdsfV4cscGhX1Zy6/5g4jSM2cyJ66e8reuSP/OTn1hL+ALcCQ9nXYzOwfGo05fKmv/qMTeEYZnDwuuUfZgVvKo8n82pkkJeTU4h9qvQpLX0fbGQQeljO+P8CS4QBcVhG5FsTm/qkT88t+YfyjwUtw1d8BrDPs+Y9E0ylVuIHrfZLQsONweVIGjUwi6ODZkQxe4L+8Z8CjAs7tkMuG9BL1tLTz2qfGFzgo15FFS5IWfQeZ41ZlfM61BUWYWpZk5k/8vZ1nqkA6LU3dc/6eXl0Nuy5D385NCLsQDio2/GAu3oFXksdafj8oBHhfqBMf4SVDil6CjRfH5SNntlVM+qkiS0pJLBY+Vhwr0z1Scxfa7XCXwBbWr4nZII29n/F/5iEkDeJq5+Bs4Y2c4txo+H02h9hnw1WwEWj1OKeR/XNrqK6eyAK308v2GPCg7wDZJTO+jyx+ggd2aAmoxRGonW5mdUGob3/bM4gViDUNeKpYAYssFPshB0U/USe/MePusXLMQjf/FMmDDmuQ5e+2N21oHjcHRr/rXz2m5lWsyETMjWiRLZk9RHS7sFMqdcqTMKMGZ5oxQfMK21rUb2idY+7MALTOCNu7JlXR7wOQEdLWa0gjvS9Cfr/iCmDieO2Rlo7oQ1C/5YIO+wtzcgQnWXk6RKjNHsXPYBqnxeYzQVMV6X+/mErQMvDvz/owX6N452P6lsexSRLcNsfFF8DbDzhT88Q3YC3U4vZX03Uq1orXFS9nx9mgTeB/hA9TJjq2SCIqfZy6fTceuKrLfgP8txCK78/BYID5JHpINNrU9gICgl+SJm9pwVdXu3/v6aYzPYagZcPwC9rovhMzq0Jtxb7wDQO+MJMlHPzsFSBxXHXEH/j7y0vj7KfR5Z6Ecjhas6YidtLfT0kYf3CJxaskrt6YDi8irx6csbdBzELPK+EcJNVWOuoK2i/JQUuKggPTACZ7AN2NUYkYi5qjJzG0tC5Iqx34D/sDEmJzy4Z9nailFcXkK4xMYIw155URW9Drv1bA+oF99Xw0kzoTHU6EPpJ9argGvOp9U0SLw19YGfelLSyas8HVuzSPpsUMLQoBnB4ARBfDPbyV4daLyo2bLM3vO37hfWKP91x2Hy5jnQO5JzewFOvqxGssVP2f92+ccbst0NOc26i4G9VCIf1T6slF96BCNKQtb0Bv2N7wrU/dsfG3fpOGrgdrVQWhO/9wK9vGr7wZygXNw/S9JfV+EZM9cP5Kod3jYQk6+ueVvj+XGnLsBbjbe0QLesNt6GVuEopBP3PaRDpe7CL0g1c1dAGamTusbLwLWtY8TY393AVy3I9c6NHUmp6h0qZssB3d/Vbr9UkGyObjcUd2n8VIC7Ua8c367n3u7oGHp1cVUqbXNGPITXnDOHO5hy94BPve8395yJrHq3l99o1fJ2qyK2vkk+CHvTG+f8QPovaOzAT4hB0zRsUH8mObzpULvLu30BxXAisVjBT56K0EvVIMCxEhYHk6HbJyMH52XD1v7LDYLd/3XHT08f/IQ0WZNjS7XspL9Pw84SoC79nYWzFNMX6U1jdiS3wcbMeBd3q9HcO9FdZ8C5mpZFjyvxr0Nud+lvF9pPo8StSXjwP372+sM9kCs7Y6Y/ieT18bL5mj6Z3h7qGMfuMj+KWNm6qU/OCh0HDMXYnXHjccB8g+8k5Bf2gcrsE1Gf1Kx/5FZ6iQBq+E9l9jCCOLm1ZO1hz0pYG/GDejweiAPU2cl+laDFruyXpvZXgdC9QUi5pgymSmqc+BSKNfIIwNgMCKgndWYRihkAv36tqehctMBfckh+fUwfJ05NIUva8DrWswQi/INs3/LKWqnvAdtyXp4Zh/XxbtzLvAdcv8lZ/Ocr/KaovDZjIRSPp0I93/KwTJ+p2+czZvU/bTzHrCza8s6QK8eOocXl7X6r49yn9rTUHHQRl9z+NvPLDDgkYZ81XaQm2MRLlE9JKaWUgCP2jQh8MuCA1+wadqRB1n3V9Mrc4rRPXOTCfgqTrX/6in+SfPtqYouj6M9adDG/e/McNDp1Qj73P389fMy/qe5JXvApQLiwvvtc4r7jRDEzJc68lBy2k+X0sqedcB90OT7g90arn0sWfun9TgD5aSTsnJmM6tZmzMdEsGeEdhprKmA/OrweIL1tDG2mek5+gFsfJwjBLiHJiXIQAv/WjnWJrXTFbhTxoP3DWCKSCE+iIv0Xw2nQAd43glooZ2bus1BH3m0f0JMxTWTH6STfjNsKazVxMaEnMT+mo1mDqWc8q/Zz8yMXcjiOU382iGx4HKXI5kT4DE0xGE2kBePOp7NfAnIkedI/pwF7FLIe7k1DcCRPoB7PRVNn+fCzFUwswsIF6i8yxEwSaNJFpA9mExz1pIScgV3tvC7dQqf96wZA74pd2dNXncBPoeAa7gOKou/gX6wmoF4qS3ts57GFPgcdZYM6/KRchLm9nRoouVDFJryyPQ+cgTrTNhgOyLONgdnSU29YT5ySQATczbFsid/d1KHVRvP4gS09IJBj4OuAK3fRmkPmnWwrJRfVrwSx3jfZDZ7iEF/gWZ5g2ywOwtIfiHoDGHOiLc8K5JSAf+tRHKrQ+yTfmuV1rK+zogIwic2bDPgGzwPyqtymJWyhMrBBp6vdlnxCZiWbHDHCfD5ol73LgZ8pqhNMeRRZbcbEpnZTijJCwmYot+Y3TLIRWYa86PpX73SkM/g6ZuBZzklHTV+S6D30oHcADt+zBwUeF8rtvHAOtQRW8biay4OT+BqhUwwgrgb2yPkypWs796ZNqCF1QyatMKBbM09Nov/6g93J3jutGiNf/bQOHPZAKY0AhcYoW/A/DkNPVa7KDi4iEte3s1cRT5qeLNqErH5XJTAjsphLUSqzSwj70JttsJegncMeAW581VXCZqng7WJmw4Bt/HjatAfrGh9wnCQI3TKKGagVVDjhI6IHpvUeTigS59MkAN17IPxwqucEPbdp5Vx4KzWkgOHoRyhUAK/l9b2b0Z8yTYWxFvEqfFGNH5OpKyobsmwNb3WHPCOHp2kw66/4BE07aonxbbhmWpbxcaPTX81nfr47Y81/m6dOggKe9LVUVqgvdT+S1fuWdSsBnMF5MUzxzJbgXdGPOYhc8+jcqUrMeRhT9n9prS2vaI9/LvkWRbA+5n3dR4bOwWOwzv0A7Fu5tU9WAR8wWp7bGot19ddG3CAKAROzMxd4NvxOWNZmP6Qy9W8Ex71FnALDDzawiGiJLL1KfznyIjbkmUbFquD8eRS7uT89o8xSWqrXE19Y/6fvxHgBHv9LnMP9aB9CL9ZHk7hZgUskKUgt9KxS6IRBTrwRcP2v5kLxg9/2Jo4fVaFwRFmnUI7Y0GSV0hLo89La/4mu5tX5Vtam1naXfu6y34ytt/Ae0Q02pKcqQ2sDfC3FPIx+mj4+7XUai4dmVY2LvHaOyltWdajqBzIW9qzp0L+rorwTzokuQj5dy4sG97JhnE+p8A987F8adiwXNsUdFoIf5uYmfFgqWfa85mM5MP4YQHqH+jYtoBNFym2oiqYVQ5TngGPzwv9cR5lmlqeWzr6knegKUCCVZq8EcgJdThPzP188Y2stry5QeiWU9/JxQz5RRNuJ20ayY+GYs6B7xLGl1JMRqMOtOPT72wpa0a1BZEuuEsQEhVw6oor+M97ryqSa822rWT/HnicXjWBCxn4A/jY2mi9YZa34D51MNte66INqhAHIKMpd/bP2syHEnbAIb+w1Z+ZxpapMSyZqW/0zYz0W+ZsT9L250Z8Au+c7iSaDB9+3dFLVaC86fRbakEsWYTnAsEeB52+tg4zPmsOu0obIWLtjQJ1csvOgGeFVYiWw/PfvRq2JTW63/F+FOC7ZNtZUuC3TnsxHTpN9OcD4/76Yw/qBrn4O2PMqlz8UXNs7hRBjyc7LtoWdL1Lzdzj3l5E9/lf3++K4bPLTenMP8D9/d/5iADIJyFl43LOA7QcHenm7t/s4G+BsoXEE+AJ2dX8ssGDhmUhR27ptEacy/yfA1wwyRjkXUTMnUMBSHznFPghQ2/pMFPgv7agasoHNIj+0z7Y8qoK+KxY47P2w1csmxpO+MxHjRJzePc4a+yl8E+jS+fg2HfcAx795wFozvepFKlbMsD1AV2BZ1Z1DPs9RAno62u2Qk4WNhJse88GPUoXVBIwstfeyL5uK6E+yk3/xqAvsL8w5OaIhx6qBELNIHtlNRuF9DdosTxH6uMUY+O78hSQB4CPLKew2QD//DF17Ww35wxywm9ds9C/z/q/miVuqyKB/TfveZdIrOUx69sF9v1MUPIkQpawtyVg4/HEJhfibgHt8RAcO2fIj7VNfBVZK/66gaadBtByBReX5SRmAnmozFz/5cNp48DnZrbqL0/4miPIucbTPT2H9mp8b0vbf2Php4tjtTnFGjDhH3AWwKMoeRBn/wDeEOQMTxDDXJh7FDPTq7e/a8ASHoRebhH54gAVaFvQvSf4ricOpZmV8us1S8WUnKLpwe29mclwAS4rpVYHHqiSFhdHdv5a6+nahConHPIEmnrIZ4zb2OMmbxTaprZKKl6+uGiQ6wSZ3vKUbQcaSmRmw0nIVyyWGHQ8OgvA+CAz89pF2oOuM/MXHPJUIpkws67ADzoKzALWIjw6N9Mf+8Xo+/1cKOAjsJ5D+/pdFuhI0RSte3DIIXP5swqUDXzjxGK/Jd2nU3Ic1Gz6ZkjPFdpbtFO0RhOHvLZUblIQsX/U/W8/iE+cT/cc7q1Sm7kbic5WwPXx78xhyFd9MrOazzHfAd4754A8MId9xdve1Loa/1dalEvmaDMTxyMcTRWwQogTkkZJXg74UIWcY+APNeVBRf1bE96egH24sZKBd+2rd2ltGJ4Jh5gSdtjYkqeCWWIEvTVmS+pcrrT//N0jkK28irfewZ1AC04f9bAx/1tYe/vjVMDaRDjGcX/Nn/+cM5vSzNZP4iQuphq/6g9PoU5pDO+F2SsNzLmVrI4OBp0C+SJGFbwX/xSAvh9Cp47JAnp8pR3aNVq+VcGnQyhEScFXFanJuL6oUdp8LV3jMczsiTFA678aTpq6KU8fOCShqZ0D7AA+hMNasAfn+tI8Z8hd3q0JtOlfOGT9fADt9Q1axGUBsygz/iuZfRL27fi8bZoI+En3eT93SUzt9wcP9q99+FPZiQP4YJ0HvBehSpjTzsDfPWx9rge37SvQzKVuszSQJjryNCptc2Z7sBLjLTYfLHKoAnQ9ax0TTUgp2gNhZMBFO8AeuqlCvWqJcSNuwEPVkFISVtx4QaRO2am3c5jMh7X32IBA5yaHpmschtCPZA/Qkxyf0LuVrjyFPfjN+4ebR3bQ9P0T9GTF+uRRmnoam12V+Ks98HkBPKLXCwtCpwFMOsXKY/HkkACfziOe1O5mNSM3vuOL6amTcXtkKxp/vXfdVoDOucD/Lq4c4ufD5yOj2eMsbms+yBN3NrYM1EvrIUyJW4fETOE6mnFNxj/e+H5XNkn4gDFgobn/CBpAJ9ZzaubTsuc/W9nooxqmD7WittJ4oVo9jEdbKeaVF+FdBC1Ttp+bbsBXn5Tovau5L8CDR4GrsSa0PS408OrpIMZ3i5mzvuj3rgnVYSJYr5ZqsH8gH5gaiQrw6QK5cQM803io3qW1X9NYbhrGHbbio7L03zxf5qgctpzThPrDeHyna3IA/smk4U48gyzur2lPYsj7X6pvnpDDJQackvriKYjSsoB/PyoEscxNf0EathEVyZiG3IOdPVL65/VBWIypiJSV2UkoGP6uYuIKXjq1fncPdmKVxstD7xdYX360fZ+tvFcFNrV/Owb4fGb/NmZWAF7VCXd6TinEaDR9CNo8GPIfufOq4bw9lNAzj8gBZL4w/sYV0wepk0FEiWSR3JC+9xoXxTSQFrf1jCkCbmp7tNBdHU5VzafZzBWQ47sHOdqvGW5Bw97SiC8ixA7whdfvuoEms+VIcs42julVlMAFaa/zzFZehfhc9clXZk8Ix791m886VloNsJsRaFTR0tr1E3MXJkMlOeT40tqs3NWAmcjD1F/5+P7i8xEwgp+aJ/dS/9bQjxAPoH/5V92xZ23OAIQ+SscWZu5GwySltLwbX5psUIR05RXyT0LG5Am5NZYrGWux/cIFsZVl7yTC7VmXLw3rgF7y0o6AjttWrEh+e5Mgh0zAT1zItaMckpWGt+thbb/zwngi25igcD0H8khtH3ILfuMhhryduU2gHPhO4CyTz1m7wxF5yAC95us9Trw1bSjAn1VF2bxKJI8c9r1CIWiO5Aq87xs+/w3iAknn5lBXPiGmPthzjvNAdSfam/6fAbT9z5kzO3d94AbtClpi5eE/+2B5r/N5T8VmkPxE0gD7GdX8YGEzgb7n4bLnNvKA44D6IXfQnE+CPlfQGTJ3vOoMtF6I5QO77J4HuqPhtiQrcssuMXppA4p+g0cO+hv/eWOWzNsfHPldWXYvRmLnIxF5VD5LS30dVu3AOkzl0D+y1Q+5JS+5Y5PGknlj+1+5e1lyzX3QC+bcyDP9HnhYsBr1lehkqYTSWb/89fhwxzLnF3lZJDnsmTvE7B5yh6Tx50qYBm7wuVHDw6n5u+Ek1zT2fxjofh7Ze8FmN43RRGwiAct+MEID41MndnNCOuIDFwggP73uRn3YFyFxGeh6UF5UPyVNhCiAO3ESpeLzkfbAN+zpjYSXjeTvm4M1UTGULjyfUAEDbTAPjQO6K5ovZo5Oo7Olzre/vDjTGhH9V3Orq+HzqSLQE+PeTa2L/TsryUmstF8GiDut3H5prKk9Ry095VtWdqTK+ilIzWzBDgXp2P7UIfx3Ba9SajpNk5KPZsZkb5n7bQm65q92LtxfsUOWNP/nlYV+snDbNnG5wrpfzsz4urRfPJzcjPGMrpqo8N+jDkgsQtSWwn5UHa+MHwXwlVvuvnsk3xZNL80cgAKwy6vpqx775p1oaLzmJsH1yWApjy9XzCAnsO131Vugt5ZjypMZZNmNOsspzbdjbePh6OhMxPsFMBLYxt74sXxkfTKY3gURT/hov29Ou39XFlqvWDb+qCXo6Udq85zx9kY1KQ2Hq6LtIm1FS5fcUspNDf4HLWC96fuzCd4dGZCngJ/WWLZLwsXcUdyl0FU1qLcUsIbS0Og8R7G/PvoROPEGOPxJiAniIZlqR3sNC809pwa8qfIeX6QDkdLJDuJG8h5DjmuWTPOH1MxJTX/r2HaiV7BfIQacBdiOvKvYPzDIi2lkv7yCN8DVj5i3BzUmV8BLRnrII2IipbO0QiTmBt7wduMtBzn0suYrEaVAMRH8WwkzTzFdQUvfc2b2rWqrcILsrQGj4Lk4v2QOep2zzcDfO/I7DzizSgddm17zxk3azJp/zgN6Mic08WrO09rKBW4L/PY3/oL0LlES5VyiHPArHexfzQDc1M1WdOGOtwC23Kv/9UlZZmgjs/S17PGpERy0M4q5szjMwVe6tgkNNaWMFKAXJOmSy1ngvfE7xy5oXYru1J7uaQ86koUL4MWTft0eFfCaWpMfEqdPEsq/uTCA8yfTN2DmLf/OQzQ9qb/ze8k9HdkKe6uvOflvdrwwniVTfhJLzIc5yvv5zsxsaI4C4Bez2G2/TzHQxh6yyrD0Vd+48PwvzzRNNRpwvg3M+cjZ3EmNIJsD0DSjnlQhO6BUdy7kE3/NVkXfHWDTdup4UvZtmVL863kMXHqUz20O2OoBNzeznJF63jwaEIgD+3Wvh07xlJ079GF6MU1uTI1H06AXPmxvrDDe+ibnNJ7qH3fjJcvs5K3W0pOwp82dcu2qtFpBZzkT5UW2kh7fUqcxXn+XTJPg3O9feXnN6N7Kkc4OFneyrm2B/1OB5NDEemkGfAPOZ2ZGUqb9UVA0quHfg1J1Yr02XRAW5KffdZC9HZajb2atQx5fRtBaoD1RiEP84qKu6DnsRXWEvflNBHBp43fB1Ix7wByRtNLU3ejwyTT/wc5lrYd5QzlBZt5GyVXSDLNXOv9MXANnnNxzn1rYzCpa5U5F+E2Ef/PaAJP/uWekbjJkVzYaH/fpnlsKCWZ/M+pfiN1Wki3wtkvghoADoZ0QBvx9N8eVmN9o35qezxk+IwbGdKh7yJ2dPKp+TvLn/GXmqLy0A+jVInX3oOGUWxbqmlpywv+PqGvrblRnln+Ji8mKHweDwNjIQegCegPkFQwCE4fYmF9/Wtmfcx5mz+yZJLZFq6tK6q4WxgVxXnNbto2Qd+BvdtZfPdb3qxohdXbhvQ50LyO5O5h7ethrmY1WeC+WMrNA8/mhws2NB75Ni7+YB/7ENib3nwcvBMz4qdfP+9H1J1P7IAN2o8436LzJq3bbSvRYlu7nmsc65tb3vQqlgPV2cmBmuFdmn4ep4BGDd5Fx7uVM5sT9q53b1LsZkXjvlmMbNytuCZqWfE1W0HYl/KpAk3wrgYCfQm7ujBcVe2IHify5JYZl8t6+k56PlfV753Zlq+m/+7bzQrspaDDZJ68zWCIgJ1eB/xCd3wIufVRsIeYcsopanovtVBZ7O6Pkp9b4TT23RT0yW0SAoeY8JICs1+ErdraI0HJtVp+Z/jRpeb0cSisdp+oU/NV9vZn9ewq3UzVczdzpR96rqmZcpqF3yCheOZVfsB+n0tmeAAe9zAEuj0BbBu3f/HLgnX7GyNtxlSdiT8DjE8wvW6I0ZzRoXzF/zVnSMcc+8Rj22ao643UsIs8DvILvbYHP2a7kPmN6b+Id8gS24fkdhZm9RZV9BlQ6OO93wIorFZ5v+svLy/wDWvUHR/xORvTy0rnXzJwBtVcSY1ENswuACVqbWKkz2cYxF/j+r1d3qv8Zj2TTaWBm/YTUTMeCvSQLjVi3v1UREGKKYtnJe8r47eBsbrL3ThBvr3qbG/w8wKB+UfTTYzb5Ak3u1cMn6Au9oVGbnou2yoTnyhj4FyS+evBkabNNrtvhBHEEWto7RRiQ9NOVptbKIUnukBl3rZsj7gKGvM4cSjzKPe1wB3nAUwyb+1R5ivHXwZI+HcipNHPcdbLCL6+BvV1aBKtwC2vvTaD/RS0mUxMN+U3FIvYBo1SUDb99jGPVA0vk7P9rzHpEa6aNf1bJHNAso/qglMPXo51gXp6yCX6ONrMInlwrkbPyriAv5pE8YaQtNl5tM+vP3HFnzgS5cMaASbsmnK84nFkjXrXfM+CkjNNIizrONpXNzZ8dJtAqLnNVRTJLzSwDyzso4OiVk8RnSHWsQy1g2YYAdwNeezT9v2bOG9Ekps7MQVceSD+b+aI4K6bX3ei+cadS9sAJWfvgg73mOoHPrY61M8PfwT4aZaUs4yPjj6DL9ilLnrndjrzQQlpSAMd1xGCHoGwn0+dI2bvxltC/fdlDAzFLXrnXVgPwJ9Di6arfKG0zUgAGulNIYs1wkPQ5UlPN8TfwF484U3emStQR8D4QUpU78Tr8tMqeOcBVj5m7tzIOPE9g4GDJLPUE60lenO1Hre1HY6mShibnYhu4xQb2aWd8yeD37zPVAy74mwBsMf0rsBdj4I6XnE9h3utjKZaiKbRTD/LC0HTIhA7qiJtzdElY8lGZSWz/08sHO9tQ41kCWrnqp6RBvgVq4iSFsoAPLbD+12bke9DvI/CelIulhfWccD9l1YoCycoN5JMJ/u6Ejf8Ga0yP7IOELcSTilSIX9pcHC3VctrCh1WmFuDRRLauh2VhnQ4OduthR9uSkqxxpOnXO6QU9ZAP90KQPXCFBwatKEVj5+F0rKnpSUGWtBYJGsOcv4yw//+3ht/PevdtY7cNFEo61ZEJOP/vvTd2ID6s2auQ/wV5ZHNwvJAO3pvqk728bHPQr6e6mK7YzAO35ZsKtAX47Z4LLKuwdGj8eyZxAp7z6vPVDMmF916WOTqnzPSCTzb59axud2nfrvK//sAHX0vP9NJj1h5Bc/7w5/eirKtVj+0xo+UduKRmYdsx0M2NY2+AU3EeXR1sXV81MF80+rbPoUybAifwHB/As3PDV03duXKTTemELu0kYAxipUh+Z2xxt3Uhju7MSiAHqWPqELsJvR0XqXuKSV8FsiAcf7FIGX+qF1Y+6tU4Q1ob0PMrAf1BenY7uPwKz9Y6X7aHnG2/eQT6f2z9ygrXsy4fxhEC8sJT8MSD/HqBuDyq8HupmIobZ7MAjvwAV7Nxn7nYSV41FcbjU6cBaIfQ24PuZLJILDK8uzyEHDfgB+Crna+tzR1tgQI0Z3SEFX6Yw96pIns9F7yA9bZVv8Dz9ttUm75g+cgpojnnh4r+3UnxHHRNOaJQ2rCGzkSqUeU4xt85xNMpXA6E8bHpWgtibj2aO5Z83lQ9/0qHchG/97DLw8zFBczOqINB//GCD2YmBDw/m7DUetz/XmtI6NGCfGaTS9rxnET4W1r6KK0tg5/pCTGDHm3uOFSrmXVUsq3xLu5P4re2TnKncesVFTRuv0onNTFiE0u9NVxeqk4C9/rD5Uy6OlHhBDoDJfDLWKLvuPb9WsDzj4iE3+8VeywY+DUNzH2HfktpuACWQoxcn2Z+Z77bfpzY9YFDNLHI06JovwhoZTPn4mj9+QPcFUPZ0eXB0WgCl5RS+x8UeL9aycrYlEG+HLN8Nnj0AxzoUq/Zgi/fHuS7Evdox57bvYrILe10W/ZqUUzHcpSXc6/vdQgYNsjX59KAeSXwi5no6cnC6Y0WSsuYLaLol8z2aeMC2QeOlMNnYQFacqbdM8dERoC9MXvUxk9EhKa2KUvX/RPDZwXdZxOuQfOC+hvxK+Z3KbtuaEEg7ykXtPeaumzDjD+WAM4bPhwVw88X81Sy+Va5yYRNjYGVELJKjkdUEVdFPN+WhqeLcJ6UqVUYU+vM/bfDcysBu19YGWcU3rtGVTayB0WaZb2eK8eG3IoI0aBnbc6p+28RfQq5A5NSS5fR7Fmzbwfyn18XfpoBJ1fWb33mrmHqhjm/8MvcAacP4L2+7rJX0BZW3i/7NJwSUaD/PPO1qWtfQDtjQXuM+G72TW0cNzPnnK2APQUcY+FNtGxkp7vM0nEtUA57GZQoWrg1L6QDFaj1E3j3636ZEZ6Yu2JcBYRLWBfmKNhb7ZqNvZsXCj6n7VDj9WPhHPZhIrSaqws850AmTc9PEDNDytGOaIRzCwkVw96LtruS2ebc4ZLq9tXnu1Yr7tTAeQM4dHAyqzH+m9TfQHi++qI+IM9/m/g9IX/E4TYkYQj/zj1zjyJ6DdxBdzxCCWf8u0GtT0bQSbx8kue8r8Pkr56tcWabIgn8HGfwPoyv93dZtPTM5oU7RqvtbxT0ZeUAhj9n52inHu3tj1SEXrmS4bhmG96Vdmnpqg5tiB/0nYYtl4H/xvrpwfu/GbtdNTwcCbzdzIlQgelNx85ZkCG19VxSOXMX/0AcrCQmJLNsq3JDOxskvJYKshHfyl4jaie2gncP/OnKAw0rgh0+EtOruCvt5vGniXrjDTofmsAvKsQ5CPEZI+WZeQ6qtzyGEMeBv4IWgH2/TGeNL/BvlAv7KPrpzns8cgu/QUz0vJdlSttBDfvlxGSoAukS0b76ArqU84Wj6XoW26jknwsZzXnvpEVPAmZN6LiiCfiX8d10jKYVVH+wYb5jYfMzU3seZ880fHgN94uDw5eTOUsopluFNEoHz1M6e32uyHjGVzlwtkCn5rwrHyZC2fajoaSqTG9DpIps9IkIJWg5/ANxa5wWW6XbW2q0vAAt4KYe1/yjdv0C9suSxq1r5kyfNTlR59Xj8+0A78V5PwHfUFEztqYPOaKO/j3gMyqFwP5ibPF5MfmSI2S8ss+M7ICPjWRoUdZnlpmxmDmelzF9h88TVyG3Way8zNXsDLr5rx47nlYa2ibOvkCHfIhfD7vGnP2z+gm6g1nmXE4Cy3OOzgOwn4egJhPcMcBQzFiUrOmAs3qVQSWmO+49XOnyVvXAe0MJqpC8zlIKiDtSF8mdm7k/lvxumJxogErlIC+3U6tymAMcfmf6l3HP91X/eFQQWyz28xThQPWh8aNdiJmBDHjCI/0hn7MNEXPEVJn7oxe3saWd7BprSdMRLbWLrJomoPZwJQJuKdOrWSSpqckiF3Nu9/3Iw2zDrHauKJclTyAHaOeEOOjYVuZxMh4sL81Ddq/yGZszkbJTr/r5DYs/vdycQ44Tp4WvgXdY5/Hf5uAq3rjSaRzjT5+AHlQ2dmzg2HwQ/bunHKVxoaNSt7Hpn1eDvsLzuZn76Ixd77Tgz3NX3lSc/fl+U8b3pNcW6ZR1XCEWAvSEPXmSzHqeODqwYO8Qzo/K9a3GUc8zRS42/Z2AVyT4/K1zqXovlF1q/BB/a+ewmwGOJS4O7ZDFzYtvpPD6reoVz0M9lYN9qtj0AfH0hSmejU9S5WIfsveNhYBUlt2z+LrBxfV+dMwde7nCz3bPNLwfHOBkkWdmCJXAi2cRJxHg10/llM9XXUo6yLfzsO1zYRvfKZa6qAMuC/pfMgW7uQa+AtyFNLSVZt4D6Mcv1mWQk79NXekO9r13QmgQgkdSoD635pgz5TK2uQG2wWr9nS1P8P/XCrQfdsmDafSdOcSFzwjc23fguYuU9h7RDHJbshe7bXJw2rZy2pOIrHseehI0GJYIUaNTzEw0GqHpHPBIhMpjZigG5L8XB8ic7wcNZ49aC2gIZObCtNLZkiaa9xj4XMPb4Gj7wJ1Tl7pTmq3GXxG1wMErwn1dDejSoP9mmZ5/Z5miYw18ITX3jwEZSyv7u0MUwJ2biKN85XPjtN1Zf97L1Xik7h+giY9K2D5oFEEAO2FPYDPbSoZkB7q6Be19pSjJ05AArqMf0WGS2/16Dr00Y94IPIymSL1y775Z0VytkMMKbtHQ+Iyie1poDJjBMmYBd0entFNVPv7z6DCvqVgoc94d+PwcsKmiTntINTH56iK4jytTW+SQEDAmpR2a8/8/Z/PgtZJSXEFn4ANF6gL86ZC6+s5ZQpVl/Ph4AvgUQA6WaWhfm17FMjf+i56EPfiRmxqkou2UwFk54oIZH/8xuQK/JLmDHqZP+7WGoBeCc/+5nPItRADw0Wi50ef8A9ogr0J7AV25U1a4MY4SVZgsGeTiTMzCeJuk3PRUo83RJmk9TmsaK9DHydHoboGUgDxc5L36m6GWBj6DVMbPZuxv9FhJt19K0RZl782p6IGDJKc6JAu2ZtbYKgHNCjkWXUBLH/N+u9YUm/7UQw66isRTkkaPO6PkVFpoxnY7kt3LC87MC11mU99BtRTVQJayb26s86tK6EtuGf6M7ucue5zD9zW3NhtZYNBp/En7OVK9XqtCHeEZHX89NwXkXwv2voPNORFoDLWyXr/Oe38An34A8yFG2wTwcKrs3oW9OKUabZpB3qU1mTm/OwU6FrjMb30YLpBt6igJao9N3Gzk6G+aLnQw8Cfgo2b+yvo7jzqUFbb+dIpNddsfVmziNDFezsApYD21DbE6pT3kZmsOAfsxEXqkYSKOz3f798w83JgJeBcSXp/YTp6//m2wV9NhKeB1XTqY+d4PWwR/Z1/AH/Ub5CAEUD6wuN2cd/ObLKRofr0IVCe5n53C/tFYiT735QaeNwEuVinOc+BTSc0RgBAaz7yNcgR6xZoOXDeAHVvjfQQarH31SfnVOGVn1OLSbrHsZVsOBLhV26aAOv/1Qme/d3l4xRccfW6o8w6Ygx8H4Bh1NHeQi0wNoMhcKbCzgbwBqSlcEI7btmHJABj4qrd5UJ4tAjDoFBmeP43Ag5+005k5G2a98R/gm1OB3bpTuOrwjYdJmjLPOSNcEqqkFLPx+jbz40CD6Lzi5NR0cmV2S2qdRPn/++ldgccsjHmd0SY58HIWgQZd4UlALk1Bu6RjY87fGBYPV7J362BlLue4PFHdA3b/9pADvztirn9OlAAH7e9NDIw52nbZ2JLz/+PXhoUc8UjtpNieMuPdzZunqaNsEN6xHgNf4hK0adHYOKOdchobpeXw8DDwfrmqCWv83bjJnqHpWA2qO7oJENXSzFYpeP59oxZ6nc/vpIP36bD3TC4/uKWZ8/jDxaxV1P5kxXUjojnPiwQfXOCFPSnJqu5K+2kpLBc0O+hJcq8L3B4cyNma2CnkXk7LRxqgXlDcp6G+vGIeeM3MTJswcCCKeI6j0j6BLoC80zJkztFLF7v8kKN/99pO5vNAnDyaBO0+7RM154upqXW3IWeic2/B+qrO1MzyOAWmbLds/ettt+gogWfoDPbQKetBp2kyNUMySErWzEr81L1aGOm+dNlaMu+nFOTjFBFy1v+eLNpbxNna594OauCQWZfcSzt9HlZ2q2zIZaOaT/mfh/9VhdsfvgNODbgFe3ctew55QDIqzJ1E+SABltz5fJB+75la+BNLWCbMucuygbzuAI7v80Ii0CABoUTLXt/k5X0VkbnjQKau73VmbrGBmFrPPbz/RQ6QQxmWNUvvGf180AINlTN9KzGJmreCuyrMKE45W4CPJCAjCIZ154D/qA6SHnSdrYz3RkSu2XP+ziOIsyF73afsqeDXVKvNmSoNWD43wJuBIzoqnDRnaISYf7JV7gV8qHKQpASdLPpyYZH9AzGzgEaEPPf5KOH7Myd5Mp3dVIE70JDAkZPqsP7V3H7D/gSdiDZU/85wDAnFO8BzQAp/yQo/KUc/gRx2J8P8FH37gPexq1FoVYL4VdCCHlagjckMeeWHCPxbL0Ws5Aa6uqxpm5KCOy+dch4R6MzkXg02pePeZg5onWj5kkgRtao3bicC7+bF3LGdtXwcbG50SJwX6EZDjHI7wUyYOQHSTy/zBbjYro5URfsr4Fnbg7551S1bdTiFTYTiapUXLLy9jEGBuoif0L+NCLVHkLJFuPxkwM2MT8kpkLDDt1/ngHiACaESj4fp0294Ys4yD6JDH9X6z6lHTM9xcoDP/PpcN3NvLkb/49crQtiPRiBZd+xWA/apobUrWjrNMPcScqiC5/JfjVPjqa6xmkLe/7s7VQvwUkrC9sEskoIWvkngV2T1HcH+5uuBVkutnJt73U83t1qfFMyVIK8PtiaAAV+iT20lYLuH3kl0fsHj3pxbRrW19LnLy4YBVnP91kRa5P/xMAn8dql4a/rcCdHJq878ALB9NLMzYJ35ifvhcU0hZ7R56mQP0BDfEPc7WI9KhNxiDI8ncx7bb56MT19KNI7ge0vanx4N5Qzv6UpCZNMg+53bUgOmluzPo7WAffUwN4yA3WvleC3wLWAv6d24E+UOGSFPu6ABSlH4JejfiPa9A7zk3ljSA75kfKBD6oCe7ORH6pKKOSHoDHuAeA5zi495HP7NNFFcpqSTPyKQoEO2YRNq0ELtDvC2PA+Qf11iZcPiQa598mGuYL094IcdaM0Q+BPKY7VvivJO9PVe8vauBjLhQSLYR0OqpVePf146x8oCTBVtDPwnOFqhh/vpKLpP7xzhqjR+to7clWu4lE72rAfIDX3SZ50c+DCZWtydpP/uzdgvAmV3lc8D8NVUurAyjjeq3jjX/3lHmDtADXw8pzqEvGu6/+S1hBiB3C+I2H7zAt0b0BqAsUum/91FoGa+okPmNjaxeF6vfGps/VUPvFKr1ljA9z2/N5CLdcVmpKz0xW0qM2orH/a3Cu2fjauvDeUjjfWNjf4t7aeEjypQAfkph8TOVj/GNr6QCAE/3NopV18c8EcN3uFgLRfatW9VpGNpm3qC70cTZI74f09CCfw8MfW7ZtY95Dy/EnNkZmNBHC05//XJ2DWiXXMzZ8VGH3LNnLOZ7jYir+4IUDksMTx1ZhvvoUTSy1zW49WiNnIMioNGenlIPo3vCnA44HzIzKJ2YSPZEk0xiZINdj4XPpBBcJWDvot+a9j6T8Dcf8CF/SiFHA488FIyWR5d/85273bG5i4VCPiG8QN+LDz6q53rqEX8jOM3ivR6dPjuHFk3MX7eeJzkZ1161ZCtOUVvOZXxefQ5HrxMRJwR4+XvbFbTowY8rAIOOpv7aCHQPo88WJPfHvJbCZrrpYkwn74h5vZHx/g+J1PW274QNmhV2Kfjv7s5G6sj/GzW5ALau4SvPVamP814y/b/zS86x5/e0Z2A3/iZEPKLWupNQOwfLenU+jWjcN6piMTMRsCj1JIHKDxaeF9F8zfku6eZhXS+bD/SCJ3yGPV8NOe974uMbMDk5vdMXYVzm3WqzDjwogFFpPBvWccDyLi5CkKnuvx53CViNPW6/IuBDjf9dYyXm/Q564MFz0sYb/ktZsD5OAVNIOYRYkbSwPTF4tR4nOVrumDY0lJzlzv209Tf0jGBXKwi2LctK9ALl6mg+00uSATx6fIiXDI3eQNcgt3DjxDTHe/8UoLOAbyKIEaAg+O25v4HD+djEzZPjHyfjJrA3r6cBdlQRMwMMVmKrYA45Q33rb/XAjwhvdo1LvGphT8OFnnLV+CCzNOkyzZ0sD0VtFOt23tlYz/lKBVRUrLeY+Zsn454qbk2+PEN2jpiwJvo8HBAuywMMNZ4x77uv3in9qd48oAXBbDP/crRN/j8A+TF9BxwtxnQB2iWBTAEWDrouEKRNEwKeG9JWviHc5i0WYH2sM8wd3q7LNIH6NermdOEUYtqW7/uAnIuFHChKVWodI9WsssYv+YF58TM/RlSyIM4k0iG52I6yXi60mFLUnuyUxfvIT+eIKe/CepvzDxfSHRZ2fleNrwvZg5OIxbQc/rPs5oCr66Kf3fp4jvEuZ06ltUMW5szvqpCx8ZLpbakXwO3bCDWqDutTbjY2LFM/e6lQql7DtsvqvWsnPZhZgmloaSMcyvr/APkz9d9igTeGgikPyDfX8z7Li8zT8OWVKHBXn2suRqNRsrMDEOEQT/hPA0gv7r+1Lj4rVr9N/hMP3mHT+cBT5U2Z7nc+h/+HjP9l6N+TkLa5eA9sAMcY3h3AAOTGrVBBQqtsqb1FCS+jPqFWexZUf5WA/msNY5Z1+agZRgpJpyb2d0MA2ZcH+ZOCg/a4my+wnN71gF+zeN4MzNMDnZ7LcW7hy8z/vX+EfZMB/yse3sjClwyB5m7nLBeJYd4u3C77QETexkZ/7ZyzY1/mw1cKG5usp++qzDZpWb+3qBvjekCeGnY4fHbs4/jiRs9WjnkQYEvUkZGwI/sPHxa+GJ4ZDIeLZ2CNgFWZyIJRQe7edS7bXsWbZAPbZCJOczYNlAWBsxELkV+kgr1V/eVx+bc7HNN11ZCPtvRUZf1sLWqtTf+5KAlFkcWikrxeZOBtPPLnIM+uR0cDqpw+6HcKWTWnBwtkkHu7psOAcdGFXDOQ8NUBbzhdbZMZAc5lPK2HBMb9KEvY/mdsXc3FclQd0Zz+xHfvXvANa+lM4MWKN10VTQP+bUpAGhHeQLec6/pP48hc/b/vpz7eXMW/QP3picJv+6Xi0xAflj1E3TZ2gRow5jhIHwUvfYp92MRaSRtPah+O1SCjweHPU+ofBpOQ+xECoY4EQvkMhRyJhngwL0KDeYlR2XO/F314oeyBvCR0db4Xi7Y3T9pFHq8SJ/HX2eVxPQHSRUCHkf2lbr/1kq3LeDdnsFaAsdJSJfs8p7fcXRdILsf8oAQ7uyN3/7lHG7s+s9//ntNB+5l9sRBX+ZNHG6Agztmrk7mhI7xDjB3Q7mwAbGTjxx483m3/VYOEWTgM+Qp0KV+mdnA3yF8m574uNCy5H7G3PB5Kq7mTPq1hg/JsjuLpgtgIQatdMND+SQIlUenzTM3dcq+TXInORmva8Ys0M5Xj4x8oI7XUeozETSAo+x+DlBEtb9CtulVwb/TcOuk3D8RmrzOsVdYuy/Ck9P5Mm/Ibz0aQbJHFe3+eTgMQddoR4SQjRj/Opo5Qc/3W1lIJ+1UD3u+TAETfms2nelGrTas+8/b0WrndEis1Jpv58v7C1OwGIG5dxBT4XQB5hufjG+N7h/H5zarHJPTvVBp/9kU4f9m7s6mvu37sELuE+XmFBqvSbQBPlTl/fIGPOeuRHjPen7LBOCl9i9/3GbQhtd0jBNzB+FzwT/ycLs3d/4nBhoZtaDst11eMK90HjfJgJPk3xvqzHmq/QnyW3+C2Mn71mUDToEvPHNHHUChvhGKxlKgF58/EpvkNUpoPk6TmUdu7pVJoR655pucEqAGusCFP8th85QxvwDP9RTn3rlLOPzjyFd8Ef0CGg4/KwuLyvhiQ7yS3o7TUZ0om1/cxiecR7XDAbm3P1ybeZrTTlAVHVYGIpzTTNh2vptT3OEws5TxbbYr0PqlMN74aMldHzHgSqw3mhdB+CyMdQrlLLTKHp1A972w8lpZgOeFv0kHiCfjKzcsXRMtiwrtL1OHgjvjTRE6qgeeyhLjGxMTR3pNKNOytyXwGNCSdplpciTOcgF+PLM+OZyQ1qyfgOP8cWy7oepaRe2z0lNHND9weDrYeDrwKU77ZBGQnxhoJBlKXcXoQdiSnyJNpGPHwMtt2i827LkCg95uwseGRSrM3H9LOnxbIuAFPK8XF32A9uzrAYmySPp8xKdafD+Io62zsGPC9bNxrg6m+IjFQptuf1egpSuX3Cpq+kmIhy3PbfrkreJyZGuylEw9M9481IhuOFaChH8+t1NJ/RByfCgvwHMckmM2LWRN7ipUH9hmEA/KSUMtaMy81ELdqQgfeFA256ZfZZqB/3yVPd7kznYyfaVHpzczbY+A/yc1JDSlf3WVe3O/n0ayT0ETwfNxajaxkqOfHHhTDhq4sfAT/jyZujfIV8dqaO1zDGo0nHkecQfy3WL4qalbKZ2JEOd7Uax9Aubaps/+DHv+lTdkgNd0TAqAdnwq2l6K5IM7SUbD6UsAl64iZslC8sacBTrkm0TvTsl0fo6M94gNXBJDDOsDcUnXAIfIHG3mfywHV35hB3RRP7/mjS7y8m03oX2hFJl6xbyytUtC/fHbS+b2q+iwORGEPFje1PDYNLaiAE126aAZnmfO+m0pXQn6mRyyPiF5pENp/n1NnkeX28x6zTT5Xqtwa+6jSsjPoMP4l2L2Wg5kxdEEcTE/DpAzIPbeUtuPT9HSymF6UzEZTO3+0Xp3zuH2gwX7W9PPfgP7DTQoqXq2AQz8ksjMU/184bKku/dN3Ssh+m+nieyfE8VLFW1nwGGQUi2Xjg44S0AtcJHRxPQY30rHw6BjQ9B/jOdb78ynDXV9LaLrWtvkWI8+k8+5yvr5AVz3FfO3EydP4LVvItTmLFfTYuphH4yZtQUeC3yO42OpdQD8E5hiez2HKM7Z55MVoJoGj8CenNKusZRFjjS+LgSeE3WstaQqFwPsVtS8ejmXEhC8LMjB+HoC9yuqAh+AE+3y7tNWAkAU8p2Zl3w2s8aG2at7/oZtRHK2VDSyvFM4CynCjeEK1W7Ozojgg+XtgCgFB0u/VQK/zr42eVhugEfYZMhs1mOZxi3OBSrOBb9WIbqIwtTvNYAmBPRua+ZdXkS+NfjFzh0HHu+veDDzZWRRC3XiKy9O4rGpqO9ia7PILnn165Up39snY8Eb8UECvzxa8Fwv70/gbyvu5IXR1nj26NolNqf4XocK+EfCYN9TiB23FsuH1L5Pnd/5sKcm+r1nS0FLfYkY8p3DX/1flcHUKlpAt3nHU7T1mqD9JmJ7I3F2r2Izl4x0dYxJ3iPTt13iEBjqCLuA+/gI3A04MZMCxdWw9ejKQROkTzNzi6LPlf723fz1FA9SQ2qJ/1mnWMtT/g54ujH3NDYVSuLd/Fav/4DnpMBL2p9mNP7o8HMj7yvtkkIGzIO4Kg+g7ADHA3MmDnkiJAFwgqFFsH7Phs2veYiztPoFYvmZ9t930CAjsWbKI/VUdG/nQt+OZmZmaA9VYHw6szvVcjjauAA+Uebo39KYvNMhBnrlo+7lxwldXRbiSy3IVFr6G4/lK/dm6Yo+uCZ5ikhBkLqfi89VICRIYO4k/UMuPFvE5JI+jR8DGnNniYHnPVVEHirWNi96W4TABWF9aYFTwGXAA92LED3MmTfgzovPf8mVH2udPTnbPkFvlkT7AenQD7FKw5VD0Wn4OjlIRmzMQc8Bp1GOFNmK8cHZ7mCvQ2C1G8A32C9obCg50B4yqDWPZqYScI+X/voqub6B/sUynCLKINd3xOeRHAXHt0rjqRHbHcA5/LldzL4/Cf6V93qf619/2LheUSzXpD2PnOZisdnYPGjcUuAGKWXyowmvL020q8fkDZ7feh6WKO0X79zb12olK3DeS8n/WSnEb9m1oLE4qkPgPSFCKfAE4B07IvRaAQfPo2YDcRyxnjzOXAoa9VZtt4eMq58mkvErbygHEgdo3nxIHgeLh5mjYhZtE1bwi7L1RBhKIA+VPMQltxbAZ93l8STgZwnCpoMYTN+cplnRZqVFBA0h0+jPW2PO2iLJZLh9aQdGtL5VRbPk/XYh49Tj5zbCAbK4IHujSVSskjooPUmJbWrR06I3nullE0CeiJHFRqRBU8H6T3Y9prDjSVhFsI6MuKbfi8R/d6MsDdoM6xZ+Ek9Bp2tlT4JfID4jdaNRAtpSl2nkVQS14YkBN4zT+5nzS2aRnBf/eTGDfDN9J4sogMtT4CAuaNECVizwTzn9/Ku3kc7VTDC9AR48IEelR5vc1fC55l0yQh6PzsY/yW2tqvutx+5z4AppLFM1eBm22g2s5w9h2C+dz00z4D0NzezF31mOHovKNd1tXxxbHK3G1LWEIloY5aADB3nEbEsqV15S2Cc5KlfYp2PloLQUk6S2/IG8p2vY0/WgOzPflHEOaqINyErSplNfkMeAEYAmDK0HidnfedQp/LRxB6p0eNxTl+9Lh9lCZN45bKOmIBHwx2fqyrBczb1r4qW8JXXXLxJirnb5ITU+GDvgmR1/gB6+nSLvRlDvgc5ZlDV5+e77pYmepb56wKl3BxszHJFdZvGjtCXJCz/IBljdfrlJO3XyTs8imq9nKr+ZmP3K5T3WfKxGBLo/ETkvl1qE61moEfh2frSmlgEWHdxXz/63xfvHAvmTsn4BRCHwO+lkD7rUBt1rtysLQaPREmKQ+6xINsc1dav+29SzRqm1X4iWmNHEB45o6s4XOSzfNNRzNjQeHdmDuMlLO7S5Tp6838JrqicXyJIx+mnExqUB91LGf84x6VOKBtDKZsbdAN//PHPFz53OROc/z6N28Dg9stH4IH7bla12si83DTN35ktOuXr1gAfmzOvcE3Pe9mhgFenA+7KDT2rhCPQkz/olaZhKjhYOYC9+1Lt5UmhiOOZvarDfKstjmUaQ40Bruv4JeFnJIU6Zla5H63NjvFZeZ8tSSFOrdQV8gP3U7o4O7CFHhjl7LEIn89EC3AHdWq37u3R++5UPkmlLXrZ9aubWRqb3unUP7tXwgYwWSXFwP2FfkwN3Ns8K/d3D6oOlDG9NQdM8GJI7Ybip3RoP3fJgbWXVK8gLKlLGixx4wtFtNyqy7hBzkEM3m3P3ufCIZGwgw2+f4Yqw6blRvDTz+R5y9/9YCZo+M2dwajA9kTg384eaAMnGkuPB1r/njZCTISbfH7AendKmZ7V0FW3uODa1jaDT+uVR943TAOfKBUH52CzmPCKlam/O5F+1+qb2At7/VAGfrYK9m8Hvp932g4qrqREY1apXkb8vDWhnJeSv9wqHnCuHrSwtfAWV62T25KgBO1XHjSf9B8TjWNqQMzkHPtO/zrG/zYy686Cw4U21RWLAlA5yg67MXbJLnpDrUGrxm5lbCdhkQ3wPlINm1akH3GvXjP5cu8g2/Vgpx14ttpyaWjWKIMblM2UvP4c5TZm26wB1lfurLaw6Mvomqc4GL3vJJfAn5uCV9rxtwq1XuQmtBzzDin/w4tMlZk7hYDly9ffAL2fAvpvxJQaddTiL5EZ236/z3m8udMF10h0c+Za7fAL82wGv5CkH5t+3ojRzIYU6ABZUmatFOaK3HPI16QEzzYxw2J/52t4yMfGSEdEU2QI8ISVBa4nx3yLC5KWXT9xNgJf5IxFm7ps+ZcwG7o9A/+sZDwh0jndoek5yt+XKmayMpzdg71+YqTHln48coSAdLItRLVQ4nwhX1MywISvwHot5Of/z0rnSCOJ22O5w/74BfkkyiADAWSDreyfrIcZX7eUDic5U3SGqb5WDA9izSeNsc+DsZj5znLHywQbIi8ZHKpKg9xbJODIz4hE8s1efFK+ZJ0g0VcDx5hqpCrj5CjzlUDq2ZvCaPPJmTGUrBruqRcsb4Y3Uspx8ZTcJmCYL/KgRX1iHO2Knpo7rWrutTVkbcf1pw3551X09TmJ75IN+ZLo9ga5LmVtu1Kg2KeCVjCZZs+8bdtWkbHQ/utMP5Irgf3dQgO8K52O6lp1fwWcP81E/BJJ7gaaPGpVPGUjdxP/+6ntPAfaVhXwZ+wR37UfG+JiPvC07zuiKV27B+3DDTSPUwoReyK/BHpEYYkIZT8+LmdXcOBBbNxzLAPSTA7noLe34LWXbLwHa43XOxkO5a2x5rRw+A3cLziI1NUczDpMU63+wKplVj/sNPKfNiV1XturyLPq70nuPAm/gUeLCPmFp9HjyADumPzXTPFY26DwzX/X/Z+ukp6A91XG/sp7fQceFMnxY5wJyS3z11OXdhXz6hNzryQ4dykF2xzV0iWZm9guVIXePlhLAIwHTsK4dbpEgOaSFeoL+3IBe2sN+ePW1wbtWkAWmneQYPktvQ/a8QY6ayHOrM7tZZZHd6Ej2wOEha/IPzNukcr49whNizoTUaCzdr6bvSDMEeVhoWnfar3uI3TBdT6CNXhygHlo7Wz9Bd5EnGxKbGh+KkTugrXeYIsTs1nhcjaA6F2pqck1/TT6XJyBCTffpYKoveUxOwCEtwGRCA21m0kzcaYtGa037+W8OHTeV4EI9a2Tyzj8nW9sIr/Iknd+ZEIh3siRhcsgtjGmkvipnMp6HP5jNNtMkrovU4Xpi3Nri0toOp9DMHVFv+X9z3uNs2L48P2G/qX2+m1s2yh7wdkxDb2qi7aFeccu69p73mJQD36lYJtLMIAXNi/XESdiG54DcKFUfgMOgE02t8N6tuwTBa7RMY1uNiXUKZfJaQ+ZsL4cV09JpOxW0oL9Dy9RAH1x1qNypOjjTA2t4P9F0Td3U+KoPMuIOBx5Vx6knHe+iogawU9qUJ4AJ7y4pdAf83viZBwIl/UvrKWshZQ9aDjCSdf6S796dJkg9yIUfLFRfsM+LMyx/o4GTjtMbj/6bsVvZ/2At24wA10kh84kAQ5zJMhezucuessLMQQLeOP75wHzkoHPga7TiLahH490hgVcjc49TwjPrMbx+iiQnRf+sGJGwRlEeqQdjJDiHy1oP5JkV2f1o6cL0YSlO4H0khRiJ8U7JSvfPy3Q+Md1RJ7vJFTlsLD3RA16Grat6jKg1oTTaArPQWd3BXn/C83WBmUYzKUfgj2sblyMxHtVObcsjtdBacrU7scQGLXoVkWXXfHpxtjTjeAE8fTBXm9meuQDUr939MzMeYGI6pKDjGzFXuSWrTIcP4JlxJWzJGH5APBcp5HHQg1oJbpeWysggYzPPXhSmx5XZKtwuf8+L2WnmGI9X25w5mtxC2aBQ0183VYCCPNpi6YSPRqtjyXAqreum6XzYO62ZL7mURf/AHN8JaLvG2v7kLlpKpuNc42tueTvTG/l3TxT7oKW9E+DB0nBkPPiKprfz3GllWvxzWDQFgs1tDe+pduCdIF1i5N+rIJFMqDaNTL9Us6EokdnYuinF7Ql0aW5tnur57h5By7/uAmAfL6lludllO3MHfTWc2JntG6+KL9XJpGQN8GFvoLGZ5OeZ09cIC7urAc9A40oRTpN0yY+5y65D4CLO8s1tRc+wqqXx513xC5ddyvCx6T83aZc+yGDuw6cSuNKl6XUFu/sAOeDOOnWkdnurYnU9F/6cWvYuXQk6WHoSYmPLwU6a0N6zAMXNbu6oi0vIqeEZ+ZmpR/3fa8VnPYEamk7noLEwW3hjallDkqTMk9zUYBYKE1PzBq8Huqg6rrDm3MyKSCbiaHivC1WDPuZUrlQsR2KpBPbYh+kRZyyB99m+fNp3TSjR0ZUl75Q5v0W1jY2PxeVMIe7zeYORfMPFdD13pu4CDSIIPeClZl7MKgfv2AjjkTgf8nCeQacDr/vvHulc8PzM2rAKXjNbv3/nK9djm0kXmGfXP6T2YR98gq4CJj18b8pO3+U43bKCX8/RtsQiiY7P+a0arw/goeXx+Q7sMVmIrVsS++Yc58SZ8Z/nFRvmPVvZq9985kW5waGXwWcqT4U/AJrt0zB0RNh+SdF7qfO4nfi/W2UlgFtzYHqMS+GtoDsj0Kgb2qnHKfDdKtqaOTKrBM5b8sn0C/00YXuEdXxpB7uyJtBLCDg4f5LOh8BQMeyjA+zxwylqNsDhwnrUobIwiE/gaL30FE+YtJMSvudHCVAxLHUOq/QgbkCmE+9ofS8c9iS3ElcNf17cMWb6BnuMV9FyZwGABU8mpqfk6MzceAETTt6wWIIGBAEZ8A04kCMLHVPr+qwDdatsMyuYzKwguLHxm3LIUEWKZn3zgNy5g9d9rSFoJZ5WQpp5AwfgSg7uEWhFwNR4Ms76dxFhM+OV1TbPYZ/tzDSmZuAfTP/W46zY8IfCt/g4pZVju/AMZgU6sw7tbylap+b6VXvwnWrIC5H31YTAwyKeiQLZoH+9M+ggAvsMMHLPrNnKCz7kpi9swCeOVFy7/iHXJMKmB2mUqRRzWQLLl6BTgJMcIc8XSn9ulPibl/11tBY/K5qNsuww4+Gt6Upz33JRYfbEfxox+cgZB20GGqYjGeijHyLYkvczN+eRMlIutcgMfG1TXt4tMip4TTlwLX/qUb400QejpId9Dv/FG6kBG7p/LmjhKY9Kq8rn6rR7d0uq2+Y5U/mfr7dn+ndPBS7TtQFet/05BZ+bowvcEfJE6bD70b6aXx5+vlsZe/XrfW8ghn9AV0bVYLm18cW32od0fTOPdaQ08c08orxPkvz5vQrG7Dx83CvL1Gq0D8MRsNBVzYHx9g8368KnWqVOh4dbQX6pTO+Z++elw6TxjTK+gMXezKykdYxsM4ubOGYmi9cR3k4iWmbmfANHRU6OOM8cTSn309qcAYRorhAHngX508wBQ/ryW18Fz6Syp5QHf+fzPzyePrC1dRs3MboOZ4XelBr0L1UzXssbcKE7HtizGlMHeMId4qKnvU7SOIU9JKnBrMaxSRXhFHDhh3btWtntI+MoZrG/loWfvM7ZMltSQVEAejIr4XmQniMm5omx+ZYPNi4hfsWIFqkTH3BsrnhyzVxyTLWZRd/KukBUFuFKXLXC56FVDEk79mcytESEwD/D5cXn+ybGLgmBhQ0Ap/D0y15KyJ8f1dCs56LNM9MuJowPD8TciiMzoxd+Tl9ztJpZR5nxH4tN1bXxxJ2vkGc2wAH2pdE1bDrygvyvNvX7zoqkyIqk+62ncae+dJYA8OsoevVQrL3kHWhy0FOMT2beW/rrAWqpb+p4b9ja3CBX/wB/8UrXj8oiQYLrq/HSkGZWmmitmuLXWeWmtrWZITSlTnI1d6YiQHcxbFPMtpOCWOIDboFvPkRH7pInb1j7TxprKx9kJouE0FWOgNTzrz/KKI9mdmMJy4gh62SCZGrwXjWBCPDxkPe/vk6E9aqvLXJo7KRKV99qdt+POgQOFe69KuI/tYM8bC137IDmjq/A8fyP1OIxbIVNasksj31RO23Gh4Qwsc0y19+TgASvM3PqytsJJRziNso0ukLuZVk/3RkFfBHLJg/fARunBYctrwdtYep/M0caL6hBBcl8tE2fnL/HoLcbii6Q6w4i2LtUTw8WTh4X86tWP6qQBn2/NTVhJXdNX8P0UPzqQe44gRZYzmLKYF8kZ+136e9ME2L6jz+Mp/UZeBR8tqBiScGATyvx2IC2yxorvdOA7I9rYknOX/Mrbdgz1oknJV3D2ymW9OD81reUjdg4WEjQvuUd8OSH22Q+Rcsxo+0Vg946FVyfkXQMluWB79dWAg+BH3CIiyrEPsvnkPdTkTP7VTsXAf+7niJ7f9al04zEzF2+8FE/zZxkzJv7ud+Kg2V/yRFZZLcFTm/7kEMhr7w/ILc8mIXLM4X4K9olddnSiNIjZg5vMZ2MDRXh/ivmH03E29qejsoy55PTtygg1u3mzhwEz+V9gdc2uVz81luYfmyu4gr5Pfy9xG5iV0X6JAbzOeRF4M5m1roMyeMEmKFGUPbA0l7nomZupuj5WItvr6KA7TE+lSK5VxFQvx55yiWQ//0dCVo/txKkzMw/rjciVpGK8AfEZ1QBictc3Upd3upQ23yQuRweoBF64N5/c7LeWIT7XKAjEd73GfhWOtgP4IsYd7isLC8zd1uQL69skI6IcXp0vFG6zQb4LTeeZ9LQQMASEn66mfFS7XVXd/4BNB3OANNSSl5nlUdKCeSldmYiXWQc3llc3k8hcgDrHBWTqbH5xHbva2N+1nB1AX+6mnPrFCcduWyBcnJzrvzdrLByto7Po9xzt79BDjJ8wTlFyf3VMwL48OSAxZBDzdB7q3LS+8FpI4JA/1Dy1fSWW9n8CyNk1tU6gqY5R5iV1txBvvOJmaM56j6zsF85+AYaagEOkAL6SuApA3DiV+4ts1Xt0zERTb8tzx3B5L95bFzA55OW3KfP980pAj4AevD46zfyCRqShGYe6NH+txg/ehLaoJseGxV/bqiV7ICD9qD3Lyrfahz89cOaGq5VXmaSdcpKO3mt2dUhppUcIW68k+gKRBhxeOYW8L/J9HBl8vJunwfvB/iv5lSCnrcR8MA75FkzM3dfm/mcHXMqh+zK9Q+XT83w/UgFStnapifT/0/b+b+zLxAFK7udqI4za57SUBZCJD5ge4775FFZ3Mrs9i1lemkiMgv28OjvHdS3LSCHcje8EUpCxf5mtqZHt6XALWwJGs7MGqh6zCXjUW4aBtzQUb9+Wten6BdcRzqsQBOABPngYYJzp3Eh37XYwVczswKDXiXR3qOmb3LwOtgHb6d8+zoHODYx/6ic3uEF8vN+Qgw0CteQB8x8c/tzoc50koEOmfGzKBIbR6RoVhVV7NvLTN1RL/sTxME5aj3OfVoKeUotj9RuakPOpNnwqoGZH9lIQCvZRx5OO842K7zfBDN5hNib6hHn2YiugJdRydC3jMKFdEnEnOmjWtHYRFv7zNSHCpAHe/gCeoBmo/ELa49cyLGiCPA7+X7lKMCuhVjvNnf1rgItSoftCtrygyMZYLYB3of2lLZvDBFG/6uBnnBX3hoGeV23TzwQSUMvha/mKW/FScgj7MsvpnFLosXMO3vdw8agkzclI7dMtxOJP+8Qd0kVlTcRAKaO8L1Rgs5h64nQRiLs7wyhGxuvdxyi03FNn+X4b8nXdD0xtAHd4EA+WysxA7Y39zyapLn/fnEbxk3N9TwB313hNe6w/8xZyiblycE4XqmiPZF4GgALaePooHG2EM+lJW1+zAvVEZ2csKs0KeS9tGy/HqfyjNqT3G0/VPTtVp3/io1bY3+uSjPIr613sLwhDTfLb83rbs6xlXgKNLIcgdkNfEhdwIMivDfcf0CuEqCjQT+XT9zpKBWezqNWcjStac93ApG3UzQFpufr/+84UFny1mbG+y+cbmnweTsLHkrQ+fUaQl4iFnB1p9ltu5PxGeyXpQp5UukEgy6P2NgOtcN/skGNtN/yg5XBHp5+VIAd+D7AcfnnRdAManMKLbvuQ1hjHGFNfjj8zFTgj7ovzd2zx8d/NyrIBvez8Ziqmh6xPGZuQyXNQZuJQFvGV4tGzdoM7UcVZ3cuFg+eecSK9nWmR3hvznE4JVZr5V26ocbzlzOLBuGzDpXHw2ahxicr9u2cyhSwa5eJFrQoX8wpBe/g753WT9dkJ4etXa3ywfv5eB7xhg6Gly6vc4AHXnUPWSPmgD3GA7YWXpUZTxAXt3WsKsDnW2qhaxOxjdLpDTTxFeLdJVSHp2JvZkIdMVdHEnGcxi1oteuaG5pu5lUDD6+j7et8/iFDDHFtf/G+XIz3SjpkjgynFni/J02MXrZfytlyGk2JmTPDHY/lg7n/lqAB2JOG254g1ZJxOhm/IjLYi+zUVz6SNnf5Rzn2L71sZtONlZkbLCCKOxRWgfEN+fQAL+6qS0C79c+D++lWAUY5YFbF/1nceB1Qf6y5FLCGBbFlVAtsM07KarhCdPCBGU+qEV9A97zOow4QTJZ0/z0An9x8vNppoEB7P540QlVDQdsOm00V+NY5so0HzZyt+lD3yGeMrdQmZmpskDucV0F6/8XGMXk0QX/Dl28zu9cxnq+vc2wW/Ppn942TJOceNIDjwfPxzDw2c6a61iI5ETPDHnAS8KA7C9ILVC6/df+jfqvMrL/fu0kpcP5t7hhnyOe90Gp/hs96HvgLl2U5TPtcTx+lncxyBWHpJCfIN4AVXsGEds/s3c37q5ta8LyYGk/hFjh6chK9NOdXmITIhZUx9wUnMkx30FiH3IHvGWxScx/yrP+6/woZ7JXSndYq4MUp8gKiEZB/+UHD5VHbmMq4/SEF5C+bv6XOTJUL2qXQAjRaVcXI7N+VA7jlARpBT5iZlDx3tmbW45gO8zdx9OsO8VoH+/WEJlhjvIdYrkBbnPIC9AWzgxRhUjH1yC01ij502G9fnzyxUN0gU5q5yXPdzw8VM/sUNlaO/PjgEP8M2CdhT9T9FNbun9fHD7aYLR34LMBhawf4IpsOzUqoDMsbA0wkbhvmXKGGqwS46Y2ZubfUj6u+/TZnWaTTjxSZeZV7N/v1r0Y7TPWKUWvqtn5K66+XE6XmHjYipt4qzXvQ2KF3E5HyIdv2tFBfLAC+mb9vZLgALzQzy3hQd9ghsY+PzuYuYiKaTrlq5B+1pWIlzK9tpIQ9gsZnEvkvrTdVCF9qFzE2Th/KwaARTPWpOtUjuSiNjWP7Rz36BXAVlwpEK7Y95DR5gDB0aSgfdWxm3irgskmfMeBQNg/OBQpOsGMF8ufT3wzrb6e0lv5oYwz6w6bDAjuELxlwmkaorFl5BLw2h7zq5GIKWSHh6zY31fX31AmfZEhOjTW7xres1G2ETV3w5X0xvp248IGcyQus16v2m+EoBTxvO47+WYDZS8MWO7N72/QKyfWfBRrWqWP0JZCZ28O/sdM8YV1XTlHEXQ66b79It3QOa2NTiBPYu8ZL6AJ51k5Bw5S9fvH5mxqSgbkMOC7kEAs+xKpC5aIni2zAYR6Wgh9I/r6oCOIvn7+wIyeRb6s09PKm93IFeTnTPWBCwoFjZadAGf+i//m2Txzn7y9cjjJXnki4fNRoulY9suu1NbpKAteDfCwd3vEfTD8dGfB9Tvn/MXVm263qTLu+JRqTER9OAgJjIwehBnQGyCMYBCY2sTFXv0tZn/Pvg4yRNVcS05Teel41VSV9vl+laJwS2P8U8osIfHNmqwdtBy8ridGslE8pGVv3aLblO81fLz/wG98y314geX8CZ58F6J85DwTX6+Zc7qk9WcSBHOBY18Oqznzt3VPQgvdBzsHa7uvQg7iGK+bJ2ymS59Oweaq+v9aazHVn6vTqy2utTempbSLbnHPuMu0z+Jv3vWt+t32KEWI8UGEeqo8a8kYa7+5qbV1+3u5xwM95n7zhgPxIrp4i9t8yGP/HGHsneLmm1j1HSc9B919juXYmV3XKVzG6gc4NwAcCh8B+Fvo+huGqLOXk0fys2cZTVrjgoA1r58vKV580zP6orC9LFr2VO/aMTd+3QH6AV79SNmvpylhx/GKboHGlqT08EVdJeLefe2cCLkqyKiTW3pFnIrZe2quS6faNhPpxFMkBvKDeO/11b7UTD9+voJoRB3NJLO3nPNmZXmAlqH46YMhD/16xMaejnGjPYTyCN4rbpBabqxiRWb9xsTMHJyZbPmwNM+6OZq/leT6f9JTCewwJUKHg6QP0tADOIJz+WxkjO4KmjPct3TuNxRzvxVE/DZtyPhJWA7c2po9JRI4Ha4Zn+uUcP7brCXRBUr/LXQW+8Hee9gJXlaqAhKZPtvEPst94JEDsNNi3RmxNXbTNqWt13kvWBK8aXLMnhvlNdAjisF2ERgca7la8hvb+ucXArj+QzzNsmbggVx6jooIYOUaPJX9uRyo0Mf0Ggf/NeVUObP+jeAN+3YdcsN01nX+g0fLaI/3drIYtCGGRHMATvQEvOdxBEF/NvRllmUbbu+jZk7h8BN/5ZAJN1GbeUWDJV/wGjHqpzNm9LrubvrzKSkCfk4XrbE1dxIGVX/PYHej/96lj1rHgB7wqGzilylZZNagFV5wMOMDzaSQIxtMH6IQ+seQzAw2HXHhTxeXJXD3sHbypO+0cbP19WLGsz+8uFpv7MeDlwZWvdfPl4ExtShuXwBg9PLdDCfmhQuldOfDfK5lO4wXibXts4CpB4yxs+xV8XWvwy9XQg0/nppYYEh9bTER5z1g77C1bQu7JWOgdU8d76cZSitJioDt5tLnKAXSlMH23PJzzdp/pCeURtzOdPqiw1pNo5yPks3JofcK/rqJvs4OzzeF61tRqAxnC+xXqmdu+gwfb1C4CCJ//6qZydxoaWzssUPneeUAuIZWIIfcUyaAQj0+BSpviy2j90jjg3RBuJSWXDHjBnA2shgTil+RHPt3KrqW0v8E1E4BvEpyi6Zq7zcub52SVT8HUpEY/kNEGfKa1Ng4qf+dZGYwd7jMeMo9FwH8jLrg9zWJYTNyuEL8lB8Yh6N8KHlyefnuT9E86pq6gyUfFCbCy/YrDH+q0l1QkQrA5BYYXKUUFaNijEdOQdV/A/s31aGoHMBxUsXIPLodYTR6ZhZ9mj2rjEK9hmqpRipxBvIQyTEd+r1GbZ9z0o8SvNfpbxUxvPDxVdrgolljUkjs+NA4wW4B7ZXouM9KBJxtJyjjfg6/mHHJj7uKyCe3B9Hwo8/nZhM2VxIqQj9nsDeQ5kt9w7+BM25/XuYBTkMw1+B9u4wu25aV+bp2s80emNXgORJXjebnNd9wiFwoepFpbLnhS8mHS3EJ2VeAKg089jW1CmAUsN/W4QFoN+JOa3mr/V49oaOIWdOSffYLryYfFzP8WmaUPGdfPPNS3iqJz2i+96lu3tIB5rex+cMuFAnvXbD7vbSwpQhziZgdxvsDLBd5Rxd5Bl5wxVw6vddjZUaJ/8JCjVE/AoW3I3TYF7/SjwnTBLFtVx99qhA+NY38C+wrZm/nzBK7r8SQxhnhJKjYkvgjnYr+SoRbtEYftkpvzPVG5HKPXHpj5d/976eqOi0TSDps1yLmKjAZdbPCAkQD23Du2qSnZ1b2pSy0nYKG9qREEPD9WHfqGvO1CTH3w0AO98XtFsebxZPPxy+PR5hXz9zRIN/sVLaQoVzUgoLoWCEACt/72jT43+mJqA+S8669px92sTyArLK3pl50xnEu2sxUDiI1TjzhzLEdiak7fQcMWwv3+1NsvnYdchL4rIT1q2WfSt30KSZEFIdw//5HOxk4tOaphyfIBgW9e2kzgtnpu09TBHR8Vr3h/N1yh+m0gCn9i5/dVIv6s438eeFOcDbeX9mJz7iaN5EGtvQNaX6Yhv4Je3ylwU/OcpakTlq0t+Ci0shgNyvmC+wxt0zsQmGlifTLvn+8PTlWbW/pbBGpoBLoAa1BVIGCy9pUrhepnJ7X549SXzyq82KAMAbAazYaNm4vbU+hkzztgNstwUHI9DWR/4riCsbsrRfqU0VJl4Kcz579a0KoAqrLKRYE3p2YPjMv/+mSRjn8KNl0zV28yZz5zcbtSxG95X7oSTXfshECks2A2cIjA99rsXBHw/xm57235trc0Km008bgNDRdQLqcKfkexxYFnk5EOveY3gFkwvCIk8zDxTH2pWu/MXnAEfImr4bGphMINsLI500k1aSHD8VrrgFjwbDs/EpRkRLPrKZAJcadHHpKZ9A+LWfhD2aELmv2aZwu4pSOIjaruNwt4s+eRybvpIwFuGRFgp4ajZ0n1HrzPRzVy0GUleQTvKza9kXx+isC/sS3K7NIx9w3xYgsKegg+mDJSURgHr/kNeI8ztdpnGs6pqWkATiojH9uMMmtzcNVNnN9tGmpNLLmvnEScQIF4JP1qNXXFQlPV+COPtg5Z2325wptmOjB7Lg5mvtt5XFn4qoE8n00diira3bEu78cIXU5Bb1f9nIk4YY3pkRITWln8RkP8XXPyBE0z/SujquC4dOwkLaa5CYCHXb02z3dLgquSHUFmduHEiV3+X8zfSP/r5d8UeCDg9fXgToh/bF1ifELANkckJ/hya4hJ0vk9Q6lD2PZQdc1VifeHiFvf1LfOxKQF1cisbwiEitrUJqDaUfn8t3YD+m5q6X/L580z56Ob/LY5RuoOMe1Ip19gxPbA1VygrysPpz14nI3iX8B1+qeGv1V2GNg9XfHHHFZDeS1XtsI7OYM7RY1dWrR/1TM3Og9SE5uetWQ+xZOXO3wmQsra1ceTIDtcpI8Tm82eP6fp5CEbUJqxBMYSTjKnvFNhD6znj3x4B40yZ4zAOxRAZJ0/g1fciPjvjKoAjx2KINwcLO1RcXHzjsgm0jO21aFi8yFzPL8JdKocFMKdpuWq3Wrg1d6axgrxQ+7062kA39rrlkTYz8USMGu3aUK0sO6fUzp/On+mLh6E9h3F/f88UNgsoKFP0XvALJ4AL/QJsXbHwCnUuTwkI2uqySfw9yCGRHJbEZyD1kX6qhybYquVJ9R+qH55S0PimP7O/9MNj1jTjxJLREwNF5tQFaCSrEmU2bwVkb2mbHpjEHvAomODwg13pS6LBHgNCWDgQzOinJi6mOEUYGASBXkM2GVsxmapzBpdXL58Sn4U/dLQdDn1ngPs882fNysb5lit/Dst2lIM+Aw+XGMhQW++nhT0h1o3YLzS9O+iNEqq3G5TGPvzUUzH+mOLGgtZGJk9CzYF3/mKeVpHaKmd3ZJRdVTD+5UH0uQe09vxw9Rky0ceYsRn7oRWQ2VyjNob/MsZD8kHjjiMIBwwrVqITeDZcCkLGCeM9zDedyzmH0r7b6+9IqmplQxaZHr3pmzbHSwyMq7bPGo3lSN3wESmZjn9r4ek1EDaD4l8cOaXDfg+jOOkIhqYIMQuCzSRbAY25k+Byg2MOXTqyIujSjXiTzH2Zh9EpFx+531o6hnt9yvEJ5sOTafegHMdhkhqzu/A2LkIHpoanPfMIR+mvkM6al2O8kNxdq/CpSiZ6X+Aec5uTuWS1z6inzzy4Ct1ZPi+keA95Zja4J9G5aYOjMcAYupHmZqzAQbeU1Wtv2zwdw6N+ysb9afpb5lqba732ViL6S2Q8hF9SLhfvpIHMOHfWTPlJJoNQIa6fXKkqtKaBxHNvii0n4b4RteWAVOYHSjg0THN2aJLETpslBL43wUeupaO3qTm3Et8WSlq30rLc5S1sU9jAhrz6jk+H2CMBDxA5zy8OBIZdig9yjliBYnZc75ibupq2bvSJXtsASc53s8xgHEo+F6F744c/WuFvp6gFd/YnqpUzAX8fASxNQux7dl5+5pz2KcdAX8/Q8KcesWJ3FubZ8mTUVqmZ+7DVN3cN7HOqf5a4PvDMSAO+CsPwicye2JJ5MnUlXfVk6jiqQPP8HbijfGdY2XOIEHGe83bmPO9tZ7I3tZX6foU2HfDWfbkRcshb9KykzMw9iR6blGO5lwkiA5zKga2aSxrOVF/D5p2ZTB+M14+62hjiUhlEkg/c0K4pr+5L0cyC/yCx0GzJacSYsqc+0Ar76TDaWnLUB9yo2sr+TzpaT3Y2fMo9KFG066O2rhxcNpY6p4K9DQ1zSAueu7uzL4QgYephLzxmlt+UguNQN0tM9dNgecgB+zt9jsHloH3NqWoeZYDsYFDbRjH2qzrVaGawE93Zo20CTB8nu0qa9mfTI2QaAa/Q5gKreUIjFAX+NVfb4Y4dEEHcRVOQ25/PUx9pDxWF2CTXTPqfW37PR13DzJYVzyYPeKJqa+yNJDaTtqHPGubHiMMMyBrzsXBYh7pNKZFae9d493/1jj6/XM7/zfnTs616dsxzAyemQt6+FDAL4q1QQa4wYweWktp6oiDz7fSaHoDL/TNuwSuQyYiKBcSekT1yJy3Aqb7ujfRZgNj9+WJcspbfYpkBsxr9sndVRSavPpzYlNyDHpgET1Avn6rBz6cNPlJe7lQrTH4hM/KRUFuI9Mfe60iDpHk48rxztmw3Mphvqpw6mrx1zfwTApEiFA7eLcPs6bNBw/8sN2BrmplNWZnPXhK/gb89ctZadGDtvxbIWeV5mzH3lKXKv5yq0LviZh2JP73qBgCdiffEP9Zvb7WOG7Ag9uIFcDuFJf4Y3sUI8pAM++ZmS/q+O4YLXOztgMwbEkj+dvHT5heUDGMoQjtWIduwpxMpZmdm731OntQ7Wdwr14dtrt6+OvLSYAbPinPrL1r+sD7GeWmNwX2qx6YYP3ygLPPpm/FaQDfH8pcimQmg/ddrYTAOABuRANoL/g3cBmrdFXx7847JTPIZ5C/PchH/1fPvLdNvak38GoRNQtYFgmUo5LUSaxTpHQ9otb4WqLBJPf2mff6QSMUHaMvj8baN3U4TfUnyHkpA6apun82OAHwBxJiZnrURfuKw65c5UUg3wFuksTM0XWtEOLrnjMUQM41JwMyFZlJ4mXPqGaZmCu6+jwdFgr+PDiyi80csjBLHqmFnabQoPP977wBR3qpXP+vhxqHKDjGk0vFVmRPeKa9V0DcF5h5B7NnHOJrZg4qma32JYPr7WeUs+YuOm28bwW510v7+UrZMsG7MX2hnlXR26d+yuV5C1ysXrGxHKxFi7D9zJwkONjtnDK8gNfxBMPFkfMCo+mDCmKR3rN4vxwr3u5Jz480Am3v54TY4P37bVgVzPQK0ea8Nnv1WAF2Bv15rTssnCe0GS5OzcieMo/BV7h3ILe6aKUuMErsMwF56ySS4DQkm0pPwD7NE7icKA6+UISrtNWtBBfZmPPNBZrLcfrEDvrJx9Znq3rlSg3PwZbcv+xhTKYc2KHXhYinCTzHWtq+boZ+EZovdcinxk1oWjSOYco00PT/q7Pq1QMp+QreXqMhj77sWvBdxfVvPeDX/sPml1+SfR1iw473lKebHPmffFAJsOIPaFxUdfwJvjHZOzOv8zkiTEMeU5ohTpvx8jyJZgNMN9QrMC3oOmjGtxxDGN/c2zuvtVFT21rdqL2DZ0WSvds6FVtKcr5BbsI006HT8Mum7tBENPo5RrI9aTOnly0c/CQNt/Cu7A5iwFKhMqz3Az7nas46HwV5O5p6MKN8nSn+kSOHd6U0eK0ridIn6BzPnVYQe/eQkK9EaP/UZn56YFfwHB/5CmOhTyLw2RUdES2pPwILAXM+LDqoZ2mnXuYsj2zg/WHFCQaP/7dvOUQ9jI834BYHPP+95piUfX/NVtPdBVTFJjfs+lnZTwmL03s17q7HgEE+7p841l1+noky89BIhULr71MhIfOrCodkOfHEyfP5Vb8XvIm3V0Ax5XleGDD8aZx+qrXd4XFaSaDzmmLIw6A3w1TkETC19gPKsAt51c1HP5GrD7HLw5zzLB/4hRX+jvEE7h8cUpg881j/9bthQeIyd7cpC0Trvtyo4etKwJ/jcCsgLh6y0BFekVXZajz13C9dfGcMfOGKd6doRhRBlqDqAWPXSgM+7lfZ5f1lk9nKLbnGtfXXd4nVGu8PKzhA2w/27tcKPLSp1+YK+dv+XS/S/7zc9lFdkJQM22MTIEI1/mTgdfcuKo8ooXvDFtonpzFd9i7hjSkubYH2gbRVffi6r6xZm42pL16ym2V4Dzj7Al+26jiSiAdNn+BqxQR3mID/qUpIn7Twr5QmxYkr8IoorAU2vUbnWswzsyYfR943aCf4PsQqyGn/e1/ARQiuY+dk9N/CqL8o62sRwzJRmt1rl6PM/fcwjMvO81Pm27zut1kaXh6nLmHwGbIpppRRdQN+snjH29olAgu7B39xBB/S8gi91peBz37vuSztaUw1eK5eJrxAV55vgfB0mFH/CPnRhzwTp85upeBf5EpgLDxWGoROjXhh+kjUq9T18GUJIDVcyE9Tv17of24V/MXGQmIdlQ54inAD3p/v2ceWNXD/p+HLbri+5+POBX53TW2FGjQij0qbApfUcfm/vnXKSzV2sUNsyHce5toirL1Qyj+B29y856995gkki6COCMSFv09t4xkxaC6h4F+XUyB3tcUPpbWDz1gqzuWzDnbuKcYFDUu3/t1XspSmxiz49bKyYQxybPYgZWZNZA9eno/stRerozZJCN/Z++ccE40XiZIs03ynnBnedWgz9M9O42wxNSLMOSrlvDsZ6Dv87XxvXZYMck8dypTFUwcxFmGEiOy3vNFfa93tnFLwv35t9fN236/KPri9fVhbT5y3Lvife+qw9dQ1z2O+BW5QWnZcS8N0QlZq2DywM70dnvNnLnBm9lBWJm8GwDP5+52OGfxN/YTf+YHfefnlXdk1S6Ob+wn4FXQTw1d3Or8/qGBr6ciEdr1F1haDr/XTnkBUqLfasg9lj89iJJdTlLrVCDky4hK0Gd6ffauDL4fx9JoOWu8d8lq76asOXHAB+bBDe8gXnTA1B+iXd+qkBXrzNPVLmJvcSmt6SOBqHr07oHlnFezgHuaBCeaeIt3jCKW59VhKPo3NyCkw5WdTtBbk27eXT6Gun8ugdwyjZL26m/27YBkiNfpahtnjYMuqEfKHab9vaNITx2tJIYmI+ivIQiYj/S0dCBCN1rr/3df5gLw/VXYiWWjOItqvZ1ji5/az0uB5Xb7jsY+q3n6jhXYVW+wcWLTh04MLDZ+vxjrcukfkm75mDzpC/hm2E2E2A76bMj2lwHdryvQxtzxxZPOTW+Ei+PQ6x/FgndIHS/pyaDaN2SNq8SsO2wsTkJ+d5BP4vOKWt8P9Yz0N04UKzVSkQIv5BjzfpeJJyF3NsJhQ5bZxGvsSuBCDzwrBy3jH+K8HaFrR8tnEaG5CsIy8dWFcflKLTGpYwBdIavq6kH77rQLVcsd7nOCHZPHbr0Rz1/d4V14PlvJZSK58MH2EJ1oH8K9W+2Hq0nLKX3Mpd8WTBzw7F8eqMudogKXfsFBvPPjn0SK74khvGpvsUrP/11pcwewdBS+oLH1UQeoSBh6Oolkx3EEO+MbO0iprnmnYTsr0X/+/mrpLOYCnH0ETgxa8rueYOnNN17iZYz1hfNPS1LwMH9eDs1lMDkgHT9fFxTsF7FoO9pwDg4NzLAVqF7rKogbGwKEXYBv7GdMVh2f5YtETa/3STja0+Lepi8b0zDjCtTxyCyDCWQLwdxl37BS4Ksy06Sk2i2rYQn5QI4hWYXo5l2z+TO1pZYG8c31Z6mF51KOMqgBnpzh9rd3MOZvPdYg83uPvVCfHE+iXZJ6rQtwDxx5P5+0Z2AXwPjH7UD4w6h9Zb63wHr+PtLQYl5/1MG1yeD5HU9u/a5zcak0vZ9SIqVeBfq0FpBjGBbOlqR+1EzF4FSTbavjf/g3wJTX3W5nf7jA2rhlPJuCs/shsXBXklvUeVZFnaihf0i61S5qU6UBoIx4L7b/uteZU2X91pMtq5cBF8lo79qWxeADXYXogcxl/bcjoX8ycTDUmNnUv7mm4PIirj6UtLdOrEcdSKwHZapTiFG3j/dp7fLhcWXRxQSMOTR8+m4i8asHdpWZWxi5XDrojQemPkP9EF3qQy5/HYspEJ2nlmp63yUBMH5MY3JvlMRkiXFpeAjrsZiz1mOB7bJk+IJ6v8tkGv17kCGWmXu8rp5hz1mT1/SPDlujUT2OZ3qqkyyPV0Vi+AZvleZyEp3C3pp12Ut0sp2F7wMOkUxgXpwDyS2hYa2czM/fDd54q2kR2KpU2PgLXvcYyxnx3h+wOrKE7tSbuwdr+lFoT8PSI8NCi0WwfebvAOF1Spoaybz9FEZq6eTnmzRNy+sfebidcYC/lihHgaPCILXj9D8hVhfHQf7zB5oQi/F2J0JIdsRtTq6FjVzHYufH55qxFU2DBTZ9wMReZq+lp4OdT1KLaLMD2ybMKSXqMCESl9SQR7yibPuRARlOzh3D50vl9aSVVxeY3oqWfOTpU4NrhuWRH1CyZdbkfeegc7GShHbexaOPaWi7l6DtSqGvl/tbpmLN+Y+pLd8CvhyOVP8AEax34C3jD33WS1/iCcQ28sMRNh3hlzi+adaLAB4b658pigvyHP6ve5JClLcXNYY7t5Q6+SedhcabnJgaOXcn5sOo95GlkerOADvenEN4Z1frgyP/F/M3UX86O0XIEX7PLQ8VT3a7Z09TLWr5zHq6mtrsEb8KA48jAUY7wLbPA6ww8BRb+pAJlODK9Msz6Fww8xEs1puYspC1Gs16XvmIjN+v5LAb2fW7DzAGzGy4XYEFhepOYnptH7ksVvT+Y2MIz6W0a/fYk+D3XDlrz4P1k9jzM4jwPoO/U9FKDvGynkG9StjxYr1/vC5/67dr0s5dGSZB1qUuH6QNieQPc8d95GmY9gVeABb6uwPZ3bMkbd/ibjCFDFaYWVrbUhdRyYHDNfCF8Muehj0eu2zRMIV7/+laAL7lY1HrAuJXlabAxNnvbaA9/s13269dGuv/MOZz+4KqjiqVzDJLvary4+cqBo7bwGYmTrl/XCpk4zp7p890tz9usQdm6d1CU0r96XyM7v3ugsj3opla//YL0RhSt4ci9dOWgeuAutmWM6cTMrVKm79Ii5jyIU+bg36xtCr6szNwkUzFKjrGaeKRaEZvzTn6UBv7fuVHIj27aQ67v27CO9SMDHU6FDf82V7yf02yFt+7yN2H223TYPubzRcShV3XJm+jMWULwMbqHWGHP3Eof0uRLpm0SLR+KzZeyX15rAaRxlosEza6iZOEdW9PosSnFRMx+hrKf2xLyER2QRXVSpOcZtFwea4Y+cNdeTK3Ng8urtPdKFnk/afi1ycevJzVn1VfesxEfG7G86qUswIYpW30Lrr3MrdKsLf/nXTiewE9J0ROzR9kGjrXU7xql6vGAMgHJR4aWzZ0v0Hy/wHrngIfnpocmRpKlBfgyyFyl83jV4Vzr/PYQPdyT6Z8z7uD6tajhHlPL+64cVVQaAfO2A7WnQ+7KCfdmPWh7Jm72BC0Kj9T0Y0b0FLcCWOhHCW419s7Kmdl7Zdsi+utFa3q6tTTCG0Z794RUb84gmb5muRtuaCR73vmm99venIsCbpmYw7Xgvqn5yU+h6T3dQxwnF8yBO0fl5SEwWJGaPqsDjVCcFvK1FuAei2w9xsmTRg/rWKS2DPEFfOLbaZy+VYSdeuztXMsyXUlC+b9V0d1aruG6d1vQJRJhiC0Y+w4tps4oOkG6yqOdd9IyPyJ5yNn01/OuHLY2xHtm+lPUorxXwvs5jf+eleaBdNQjA2aqUPJ5Mr1fbP40expwRza/czNBUjVs4zXd7kkDPVOLb07MQypMXBlt7GwFn9bx1zyAc4q5ZXQWO/Y3Gb/upzFJyfq1lOfbtY62eRojTtgCFCdH+PwUdBHVET6A9uuGE64K5qgBbY6sPbKCpMzSAfhsAt/3NddvovdeGvXZdO1bOcqydHZ2rdnCHO+peg/RGHxVZLmyw93eRbuS4jWleGqG7Zs0tfF1v6q13fMINC5oY/A2VxlkDu7AUzPkkfBiH2l7ra32VTsdG0ZOrTlUFO+OMLb2tpnPUE/QVI4HnhEx23WQHGuH7yvEj9WKNWjDmK2obSIkFPXB40zr3rLjFLil5sk5F20gBy9hWiep8F5zsLQKE545Cj5fDtjhvO6kD7yP81VPma2+6XMmdXTzuIu80k2KvPcYDVVxsHl5LDQjDr8dIMfQGL4f2zsJEluyfqOi6UHDxSsH9L99sLcreJ9SRuDvz2Y9D53piOeafj2VQHxvbb+PAnIpJTn44W/J8YY8t/u0b0CTZXkMmsexSBwRmfqryR7r9EqKZMxGlYCOhsAwC430a79NeyrSa7YmBQt40TDyaGKCa2e+VnZ7hHxzgWfQK4eMoPuHmrIrcEacW/Pxt35UwEHbvNQQMvDXPhtlgXu5ykE/Sk5MXbp9yXYvBsiphejeSh1JE7diC2VjcmHhzanEbuFhZoP+ehSRuKa+0ZA2F/A+BmmXhemb7AUVjM1USwe41NrbcN/nrVOOE+WxFlmBo6b/q1WlcYBWOfpu7ZieQvN/Z5F6cgD//JOv7a4Scsz7r02pw7Ua+LcceH8yddGsxVexP+fRdFBmbiwk/GhOBaz/LBmnNrDyk/XpA9j7NQerm8F7NF3COHAnC/QR6zZPrfBaOQmv0b8VmM4pGYlEQT6kiw7ggZ4V1R4O7U6g8pGaen6sjUFBFm7ZgbQWisHPmD2SMG49NSQvtgFPsc2OMceQY4HZs03KS+vg4hsTv+u9fbPiG7CPmev5YIX+MOfA6ohnDW1n/rxdMcXOMbysapBJaS2mjhv5ZRiU3U89ZwcL//U3B8o5ZMVkA0MVjcCb04jeMu2XjduOEOM+tkwNe+CGAN/lyHemjn3mTuWpxzvaLxl8ri1i+GwnfErKNXXmHUQg5KbLCmPgauoRvD4rdxYuhH1rIl0dnjdHnLegc6bWhJ/VQWvmwQ+8QDcu0ARsuVe0PcP7TMTInw2V8Lk6FWOS5R06Ms43GH4H05bmPXucEDxHtn3V/IRYQ1g+b6a7xAN0ZlM5s5YC9KzTNnDk28Ex7KM/SdTceRB63GrBz/CsitrNUXBHAu80q38+aQ7X7Pn/rXdOoRiSTIhkzEP0v72pNzsFUq8iUxurt4iV+P/1d8WgDQ/wEdZSFqTkNjgu4MUmRlPjYC0pgTzV/jSsd4Hd1jTQGY8bjyCETJ3OErTN9DY4OJ7XIP6aZzPrlF25tm8svtxZkBD1nDdl12/2FrFPQ+JCLNssnFvwCD+Uo6tZ32AM8uDYOiSyKbdu3hG8Dg6Nl+I/dYA28HObrF9mrskbAe/92puaFTpWhSrLod3Uln1jA5K18ddmfc1Oior6BxzNP3kn5/961susdIBNgF3K3ruRQs2M/vNSa+MpmnpNSFrgxaWCyAc2GvJ++7fHDJ7ZM+UteCyJSnF5cLe9ll3pZEUrm36h6SADPKg7POdQxiW8U5xxgb1SkFiGm00VLXvgke/UnPtwwI/2izgJdTcsrYC3Ky5fdQ9ECtp6YpdHKdorWZFdueibcwV5bno2AeKnIbxCRjQstfIR35pQdtUoN0x4MAbtC8T+m2LemJpeRMU/u+nfH3hMIrgeUaOLJ/u/ftkQD96GrfB5560gfWhljjebte7T6MNzXaZU80Pp6JlHMjR9Firkt5nLc+bM82lACXHJh4i8ORdblEdmv9NU/NYSGEPnVPBNHdriFfNAM1JED7emrelFuCPgzUlvY+VAngyTD+AhWTP1YeZyefy1EWEbn4K2E73RMuIxlHjg1891194hdjc1V1lZgE8aVMfXVgBTveaxb6coGTnNvIPTXkwt0rrPvL3jFdxZHqJQYc62HyeuewyZlq36AXmg5COMH8MNJpcFshNMmZqPt9z1N3RVvNZoyLgfHaP2menkVevDSjt+O+Y3GCcTxtbWqgqkhZjahsvjSWwDVfifp6C5ymHakELuMfr3rLXeAas52Hr3lG6eqZlzHshagnc69e0e4iepu38wzpKnjGT5WjcXqHdFfnPSSJq9tt4JGC4dSlsBm9Z6dydUxallWfu1efIoeYPfP0PePB6s9zUdkUwL7bGABKSYsiaQkM/IlDrlKgNZVCuPS9DnVxwyPiH63E4q5rvTefar/P0OeXb4Zcv/9R3Oo82aIuDdERWl+2/BtHGpaDfVCN/1jaN6e2kQc0oLFWRYNBbvcA+thQO/oAF6zS3LPDa1tVrduJPF0GQB53FiE/AyD6vSjcNGdk9dHxhn61SB/qbnbXrkU8uDf05qqQ1Z8SZdEToJdMRockmns727c079sjnF8lJ16vW+dgy+LynJjuH0EMNjrXQy41hfKZUB7b0QvgKgzc/K0RAv4TXnZFdbOAUf7rDf/kwa0a7tRYz28JCAO0yfK/CkDoKcpjWMtdc+2AjGssw6HZ+o9IDf4TOTjemdroZ34Aj/ISPb1NdNpYnJnpR7W3Gi0bkOVAdc82n6FfKQYEr5XbJkyHp0h7GC5NrmGeMBtflrb+otE/yj+jDnVCSwnNaE+hnEpChd8AgO5G23/SlXHZu+FuWacIUm02tpIKK8Htyva1m0b9RJrjJ/X3E/+3t32ud28tM4Fxti954H/DWnB37Y5ipCfWNzi9Dskcb+pWbknLl4T4DxIb+ZOrOt6buXmT07Dmg+aGPT79ZK8LsSs6nH5WZOQgT1hbK8hYM2lfSfI4f2sxnIa938qUxN3N8aL+ia5fOZhwsFHgMtT0Te2x9saD/AK5wbZi8C4aBBqsqcJYM4O2CmwKGRC2ZeCrHyMPUBTmEbUmZfavBgv7k1tP56jhPROgdXhSLWXi3sQ23qLTkLg3zuSNPfezT5Zv7OxgTu27+kcM2pc3FxjyYzN5n1s6PO7xYefZFbF2ASMxc731hU2rXjZYfVf9VM+0xdLE4RmlNbhziUhNnTRlloaazJZmav0ppMSmzXNMZOOuLPXPuYBr4FDAz8oh2KkqThLaXDUoloukrUunnoaaW/njLgmg3eq2Z1x4dtJM1eK2cHerIFrp1MfQ33pP2MI0SUnXwwtohSoA1n3PTHAR7SB6b5s2TzYHoKkdGfSmHmz/1WiMVTgmxKkbwxgb7zQr/eFza1Sk6hDW89iekwyXRMjK9cjQ4r3v6uy1UWc+rzu6MC/1N1u9+1sdRuD+AB7NxCDGKGAq+69ZBYoPfnvWV63r3f80hmql/+1hCBQb3fvVjw76mblHuHWyro3Yr/u5uztcd4yoHbeky1ZfZqSYEq0ekJQ26WEPcljAnwXpta+yvl/gD5IlSjhOsGLQ1NnSD5qhN4NhVDzZkxNTDIKxPC+buV9eXd9IsqVw5uHyVqTcEnqx/pEHfvAAtQ7qaivTfWxVLF9EhNnl31D+TCpRkgNtm2K5lMTS8vOSwvXznVHYYxxBxB9YeZx256/QE/nVSmR6RILcmWKFu5exSmLn1yTDs51qbv4hha4Isepq9DaakLjsB3hsBHhV6ZjSzwI6IqfHpCf3U4I+DOGf6/Z+popgV6gtd75pZ3rE0dHUvT2ub7jOuVD5lFeRIzV30z19S6QEWOdEWi9ieN/z1OnaSNrSOI2yzlk8DAkxLYwPRAeTEbXzn4F1NvUlUlV7dGTCU29Q8QPkhN+hzuCljTKXVq5v3SdA0908Uipaa+P+hMuFnBx/dZsbNEtEVp1D5ypnMyNja1IaZc9KphQhsr6cw6637lRzKqEeLrRoB96Mo3Srccj18W+FCLd3ojzBlmV38DM3oN2zyUjeO8nzF2klDw3x5qC/DBD8QXsHFmcd6W9f/1RF6bLt3UEDOnITNrnfrU6bKOFasje5WRxsC/VOj+ijlfKtCTw6ovELeL6Pn1GBFdO/qnBl9YsccdOzpNHWC9IQEGaTfA2DT9vzPFuEH6Iy1aGEvg1p7bEXxae2Sg22Fb0M7vTd39lJamP9UAvBjWyPDkzOmIYJwlArv+UzEEA8Ey5/0up4/5Ytb8RLSAm5BjxbKXHuZkVRmMnxnyWJVRHJzAGWKK5mNkV5AzXODgt7xLPpm1WThVN8z9j9rVxHAHQ5drbWaArHd77+zupfu1AA/2aY+nXGuWdmisY/zam4pzt1nBP2EivjwVTlJF7Qq/uyiROqoAZih8u44QZUOSmDna05jZqdWvxCGfGHIcs5Ox7KczFUB1/RRiU5cx9mGsWlcO+Qbb7Wsu5SDGEnJk8oYpf6jua5OL9H4Kl6RZ//NfR5FYMt9+760tFyFx5HleIC9EuMduaeopCWbJcHtl62+/KYch/xPY5O23Fr7LmQiU/fLL8P4wcKwtQzTUvTcq7e/BY/00+ZZVIWg/XH/DwN98mDOGaGgK4sN9r8Ak88FWUbOqbyySEvL1T+7gitu+2ctUNaEmabjsS2v6621KrW2IY9VWUeYqR2oV7tzKIZsj2/rczaw8hvGN0LcIyhWLrbOHjABjOwaN3TdxS7KOd2UnMeS2NXUekB+A9xC585HM2EUUOGb/2rMkh63RKeu1l7SJZveISGvmfXiMeUbVQE3v+EFCjsJRzWYrF7PEYTJU+bwCq/nYleveUfnBUUcZ4UUyXAhTQ85BP1x/vdb1HuX4PzZhN7eJyaMRW84DhYhObsptd6krezNX1WhwdR0oX68qGm7n2lrMnPqY9i07MkxSdnGZpSczd1HT0M6oD/q8taWbvHJlKMLUk1YigJNLM5tTB/gC+TNVq+nt4O2wjc4g9b9rUtSap0wrWYV2wDnHcE9hHvEzCVsJeeaztHnM++2lDtm10rzgo/Ez6uUrZzbY4Llx0gBbmx7qQusAx/g7Z3hPbXIFBmuVnoB/MU0D3yP9vDCqfsz6W9PhT9KZfgS7e835bPp8KJ26TGxHU7cSno596i+vsRwfY9yBlnL88X7FTnnnMfmsNXmQfnkA3/3OW+Nw24M2LRIIGPzehosly0Nu1kY7gvwL5LVVgSGvLbaCP7BTV4E2q5iMaJBW+3qGAevfFyx68AJ4yCMdg8MYWGDOC1tPSYGAQz6Bj8CnkR9wD6990JaJSDPPtDf9Iymafs9aU3U85tsRvKJ7pDpJrS0WOl0lIy8WnaRZc+HsSWNyTBk5gr90qT0FFbs5dEC3qpC30k1+Upo8TzDWG5d3LGxnZvOlBlMuhi0H3ec1mzzZMTtzQAsE6iBGisqcM43a1/hKm6h0q4CIbCXVwYGoG8hQP7czjrYXytAxH7YZcbB9ohg0ibmN6zMem7mm5JZ2jUtCM8eO6H7VbVqUG8nmlH5s96AqdxkAWcTy/Mope3t6q8/btbS/7o3GNzD8niwmDVqEmdjAOJ4ssoZ3XOib7Mg3XO+GfWzTzMLewW2s2oW37PInB34rDYcG+r9r6f49jh/bN4iE1/xhUiPmVpowM2/WuHigYZKAz4I8JMVJt98inj5p6G1SW4kaoQVyBQcWtNQgF1Zgjw/tUBV4rj627ES56U0WV3ZLq7VZcpeIfPg7k/WT9htHFv4d+BzyXXIRnEci9Lo6sjZpbOa8piQtwqXszNzrEpy6/ikYepOd/BQRApbyJmojtxLLrD5M3WX7mRYYcphcwcd/S7F7edgNQ1w0EXqA7unabUGzExs4RQJ/rimTm9rJHMnbjxNrvbone+U0G9lnXm6Z/fimZ4N9bdzkkbscfEe6Ub0+gB5/ngYvrOMJxvX8lyuNn4Wcm2Xr15IX/Ib7d1dRZfNeHwn6Wo6RvEj7y8WddgRPvKxoBevQRxPxiMH4geceiyEpK8SejQXPDfJjpTOzTjQ3fXsgkfd4zdukVnaFuHiSwXpU59n0ALqBJvQZs7EKlxSDF1YaPMd/fZcghr+smpkz6O0sButZDvYT8v5KYNxRTUKBpmM58q7RX/fKmgfT9/zl9YCh/5vLFI/7wdVHYN8D/Xh/lPTrya1lU3X+RGm4NOc5PNG2PQ3sd86wKtpcmv2B9J+pncSABax09aODA2w/kFwN/A146gl8/FrzfQA7Y2ypnYgbF3I+sBfkZ9vUx+JhXbC70KYmFa5SLTM2yp+S7Z5snD5Ky9TvSleqwUsE/DulfAHPFDeolWYfQE1hJKzGW83Ba82XMPw4sW1resSBV32aeoGGyw92Ajqd2XhV0ylWwCjkKIdkX426OBY7F7zWfGTTOe3aSdBmkRSBbnkWGexbavGqGtTRzDdD7LzmNywYl7JknqcCfalz0EbQDuCCNrUxcCHa08gzfVUG0+/tYG2zmppV4H8w2pRdj6XdRJOD2TIxC3S2wwc8gLcc2ohG8g2vjUvDzd+cXhVuB8zeF4iZq+LyrWEEH2yeyRW0MEKgaTphAnwt5X3uLBTe7+cJfENz3p7xwNM8bja0+/c09ffMfOMRlS74p4n2s50xL8Ed+/PL4DtACx5X1c8W7vw0cyd2CoELHPIEfbmZ/UqqBz4Ld9fGeYApVyQvQFtWiaQzTxQGQmORuwT9xUG2gfjN0xGh2lGcRipvhuXFvc9q1U9QSKvheMGWqclPXPAsDx6jW1n4n5DbHEz98+m8ncjIg2bQ6ZGr9BRurLTTsxzQDobHQVlLmjmzm/c4qMP0yXo+K+fimfpwf3FoJbcKtRkNyUEE6K0UyuzfsUqtOQmniATyA69+noE21W6CaKe7UpPDwSbf2XNexfDYyBEdVG89Mu6fWdSe8/P2R4bzwgcsU81ftTE9YMwfLvScu63OVwnPrAX/Nj1Aty1uYw9/zDfQ7uwEfNRAgFcCJ7luHs0Kfs6xqWCcpwi8jcYLeLwEItcmwQ7+HwZPrM7gEV7vywXfAD99cU/9LMD3GM244TFd8EreJG3zhr3bamxDYGxguWkAHZeZ2D6EUSdw0eJjLk8InCmwX+nuNpA7RTkST1Bi1aD1qfPq5Xd7Vlqa80OVgBSbFsSTSGemC8GJ++Gpt+9m7xnE24+K27PQZifFMtaibfcu3kuXuAfL/iGO3nBLzsfC18zFiFgcPLY/wzW65lzwyzsco+yqrAa8eAK+pL2fPt69zLLAj/EMWC03HqoOIP9y5B5ceP7As1Uk83LcgVNHmRy+7DzQpYreV8i1H5TzHA/2QdCEA2/TdMB/dWD2ToLLl/cedwtQ1aaxlo+sIALYdODm/XDTwxpfTF/pnBHgmfaILf7LdMpVmMT+DvjxaXoVG0rgESmAhRiJdxuzb/h/n4Uq14/osPCKE4SjndtoLcGTCsFVi4veEh1K8zBb8LAcaN9+p9bySCNt9sdvZOwfTa6s8nezj+Ub//bT3nonhj9ZbHbW+Ts17l6MfT1Ss/ZDxtqSPrD8mkLuq8N2SF0fGLHZnHq5y0f1UVvexzEGHWNmP4gMyh7ivEiW9HlbFTBM+jTn7R+2jPpnqaUDvIhrTmbg4Nd5WKb6r42p6Q5x8MbCzDL1PKjdppWFUxXsXG5No2A6qPTO9AkFfZLpEfm+chYPC9KC73goc8a6g/cHOpCbsw8hgXufU+yooObT6xyHn/ZfoDvwfh27hGDMTwM6QwwvdWDmxb8cPOiZrPjjFPur6VsswtATmv+cmJKq4OecT71yL0uzltdGTFb6NHUmE2RyPy+0Axr08eJe0MsbWbMHcf899k5pZnNN3fgJfC9KNTmTKElVnFkm75UdupYwZoD3r7QIHykH7h7mtTZ9kGz5lka43Ft8J3tMjoUKzb70U8xeubJqLFwR8Mx0xX6l2zM351oQ4bU9HSF+cSV2dtXzHbEQ6Gby4FG6sn6GjKZ/Mhj7fAyB3cKFOxNtELtnzkQyOwnB9x6AAxzTg/JvfRm1aR33d+OrK/tyPY3JXLrTjVh4FLEeU8f24F7fmKuXfJiD6mNOQZ/BX4ALRRMwGRK5JX8y+rWhjqpKRsCB6jAPCOOIF9j6v14SZb/g5ncv6/Z+6jAHLXqeoscDcugqe/vJI9XVPHmrTD9YUdoy7u1yNb2pkrkxNRvc6Q38+E/lzG8nWm7SsLyWZlzobD1F5TVn8lUHpieWPpve8qqfXGnhN7PHT62apiK0lEOyxtVCCWKxEPmZeF+AgzXk+hS88EiK9laFPCoH5TcI/AlvIWP6kOPbTTp4Xh4isw/8b5/DMbzdT/TLAn8NzwJVkH8dFrdM9uS4d7ZvmBHrFGQLvCNfWcmlsvhT2pDHOP/MtVqqHlfK9H63JgLPFlheJRBbYUU1gD0/VxF/5UrrGPFdXag+F8mIOdpALF0zByVEbBPMkMX7Cb5nVj2iIrPNnB/kqKD9puBHmbUcee9dRZxtcCF/UmZDfpSf6fl9LR1yUC66yvGv/xcHX3ZkQj7TfhvDcyn24EMqZ3stnSQD8w0eiR/q4mtzeM60Zrqs2FZIljmQJ1PlJGbviKfEfAcv7HFnsxLawPebp+lrc7Cze0mbV05xIc/C2FamBqesV9UCszLgUauO0w34+p8mAG8ZSxvzaZMNZj/WzcmRrFSAF8gnT+VsZxkD45p5mj67n1gD10rsKuAfZpWCsuW1Z6k/jaVleodVNKmOHDyWPcUlRdeKTxXoekJCPGHejoe11bTwJbMwamx8zgt/5RFay16VEFeE2Gj8PXNhbd9qYQO3hVbG9PlgT391btl59hvq74FrQlNbPQ8aCzzO1awD0efW5cMU5zF50nB+1gV2KzuB/4MK0jWW5KWHTeVC5hVZ72Wl7Y/1gMZ8DF3KJK4ZeAuNXmxzx7G/TzvT/wj0E3wrcGwLV34V53knWVuxwsfENvvAm4fgekMicjV1V5oQC+Ai0H5/l+mdm6/ay0bwS90OfDX4RofrUwBxR/96taSCw9uPzV7i5A2e3YNFSVnzVqf9RNMAnyvH9Oo2e/eJB9q5p5o9gdudKsAp622WWduWu21bC+CVAK3wfsz+K4hp7lSuMj/z2lPhNOE2hjzpA09iylQL8XCsVt8XPd+nxXTL+5vFnCVMCzVQRsC5Q/639B7GTke5D9xv1oWXTd3LQxNrUIukkro36w5r9dwG5f/1vHOFxsHBhdyreXJkXnmk8lpZ6Fxa+CEQlnU0Cdkln2LoXS7QjxJs4X2b0LF5ZoOSwAQfysYInqcUow8eU96AhZ6N2IKfwFHa89f8PPhHRU+9tWINmvi8LUKgEHf9db/6Szb6QR4nb/AMPRXN7Sm0f/aWfB6eWyeFnIrX9pMO3BGB1JDrraNZ43ATs1f3DO/27dRlVg5Q/FoLyHj2PIEq8uLrUfLpiO3JM9xMqf7k4z/bnPEBLdifuIrrCJ4TklKEyJM6M7NHfmlNU80uD2zOTZrz2kU7yPFyJRo9SNfeuWizPwZ4zqFcfXhXZMQae0pLt7Ths9ypVIhBDMgnQeE1G1qPiPbMCmY8VSeoYiKcYrniQ7aiIzi7H2YncK8wVs3ejz4pDHc2Q/vniZRj9u1sb2m4XVPD2zFoQmQ9ygHGmUVY3fWmZ+oPsOxs6oViBx1rB6EqxqCR2MFc0oPTeJD736jz9eCOqXWHDhk3+1ja356wrzlYtYJ/cs06JHPk+fZkDGwT8sPU8X5MjVfemT1FLejkzUtd2aliklSEtixk13DCTp3aHwsG+mFzYAZgHvx5DGeuBikrm+zTQL3Y5pdzKwbPGAaajCW8W3lWwHXEUht4vkM+6KoW6fUUSdN/41I75ZNSdDhGwDwdRspGRxZadxJ6yNx3uvKBFMoH1m8F0n4FvPJ3nigiPzkza//6wK3Wy+1pd+JmnpOH1PT5RNxNLVXUxe5xNO9dbNtyxRkPlyCNCQikyuoYMSIyl2i9z3vvk1N/KgdzzlsDOaNXLZ1baWq6IW7q8Ka51UbH6Gadoknn2vdwCOOK4rleybPqkw6uwQcmT8nqX806NBHAI53/WbnpRlC+ayx7qiLbzD9syLB7YPF1rdFfva8HgydfR62pxWz2fmnmWBvKtDmrQUiBgZfnnsd+xgK2qU1PXQTvfZAp/u3jg7/ronkyd1pk3MLfwmnD0A9FZHfqyBl4LAbP/VfHDD7HYq7fNsyOQB+KUsyRYqXNTf+jCHheM4jGpUrP29Iw/YltZe6Gi1qzjWDerh68KxGQY+IvV7o9+K3JoWvqyAG8Xo/EibLXmtSdRSokH9swByWD8UWxwHbpQJ6OkDD9cblW+gDjoorJCGzdyQ6U2oZ80k9j5vpl9oTfLTQWol0hhy4g5lUNzFINW1NtiaTuXy+JCLiRS+vdalYFSjBNeTyZ+lKjdJYdBwUDfv3J9HQhttrxLtuk9gR8ozKJgLmdhNb9zcvYvBHCuoNfm/jqH9Ii86hI0sqsezuvOfOb1+TzDrSLZcPjzi19OAmvBJ3Cmas8uA4/68knQegI3gkJbvp7clk5S0XgylQPPOloVLEE02i75zYiucaECLIx/QrNHhBWoNf4OjaMXyqb+8wCPz8kFjXnATQvsUUuOZtjHqr9wUl02SUwpuUiRr1hwzJXWr81Fj9z8A+ilylo0u34MXuS+9L8zbTvF241/4+qt2tuVGe6hv8SHyY1PhwCAmMjgtAH6AyQKwQEJjaxMb/+beXanvt5D3ZVamZPjFFr9VpS92pPRt2/uUuc8UTaaoHcXTcWcYoAZ8DVP4DDbIof1ux9X0kLNGxJHicrwTVvn0rIqBn2v+ceRWT8iDondw9eM+hvPIJGYWTG73sb98RJ6b8+jreqx+/phN6z8I8FumEgmox1OV9a9vAqmlhiJJEQl12xHex8vD3ObMYn57ZSyOUQsyloPsDtpcqd1W9DcsrtwzVj+Sa3/K6GvfFJeHmzfIuQ1LAepwqIfi7WTYU4OTn8rR6Wn3boetAHSbrhgboaOBT6UM5ul/emfx1PdbicmpFsLTwnm4arBC0n9bzD/PORRZ2gAVkFbV/1hzsaGe+X2Wp56jXl37Ud5pu5A82dPayjzkiA7tRaUAYckVrVeqaJ3fbocYZYTd/3jA7zTmkUMgR8mqI7xOvYOhK4O3dJgAvjDfg67235X1tCHAEffVajZ5nZlHgglTDz75x9WVP50brdHfB35fQTtKCZ75XuzNycM+3eqLXOhdBbC7HPJpSZfnYZdgL4NitMvVD46mtbAsrsbxzAmvLuUpXJe+3yZxFLARz/UJQXwxVvda8FsYcr5BQLcgGqYW8AX2LAk66wT+4qwgm2Lo8TaEZJh2sTX+543L8dHf0A7vE674XcaHoQgOSOlztF81u6yRJyUJQPizmT2vBvzWjCz0jeADNtiDtLUuSB5jiSYb2B5lqly4CfAKuJsSjCmw262k7HBDB+qQue/POBgTwLGN3B2pPrOeb3TLQuaPxUIr3UW3inW+iZuh/49B13vKpw+QXi1YbPP2VCYRX731SsxOBU44QrvHd+Bj3EHV7KQC7tKP8f3zlufHq8c7F3gKf6xPi7hrnpj6Kpa3wwzV2Pd8BBF0P+hFyJNDY1uoW5K2zvYvQI6FZSjfvd713P9Netw9tqzr8w5He58fKFUYqqgW+QG6IVeCDZzmY2Mc0t48kFuQtwiGfC1M5xWeDidoXPM/OOPOrM38Vv3CRXzGCLGX8XZw/vlA84Tn4A/22G9Mbtv/982olI7zj684A9tOST7ttQHwA7PIAZG1N+UUNnziKffLDfQHuhVKuojS+Qc9JdynXdgoaqRWWlqL2bOobW0WVqd7vc9FdYCTta/86I1sIFrRimoCvstww+42R13+cA2WeOAPv+PhTyGejnb8HUb+3P0VWQq3jFuHqXXD7MfNLCSlYl9papG6b6sGvL9JGXs1s99yWZ+Ous8q5CCTkM9o/rm720AtfcyIAxAS5qPPWAlx2wPliVme3A0kfDZ4558kFKPVPg5ySe8xZVjtLcA81xKiBnm363JvZXLOTDzGp/aVjItdx49LVlUqiA3BpYF3hO1mzSboW2zV0eHdld9dL0JNeQ/x88PFjNYEctrImKuo/G2qNW2DdMIe+LP1bumP55bc5ni1xXL4yagIcuuWs8aY37I6dnpF3pdA8aadiZ5Lu19pqhzhFs/90Ml6ccH24xKdN8Glf6YgmapMZhAm/6A7CzJOM8gR6+nkf5QcUBkBT/OzPHtHNOoLFEBHw4rrZ82Os06LaU5TtV6l/eavrA/zvLSvD29wnP98A2Ar0S7jLKi1rcHvAdPzIEyiRGOXWWE+GYiPBiF4K86qM06K8v0G5es3WA6x7oDrskSHNzBprbyGiTpQ2TADD9yhnuzFxrEiVbrRWFfc3J5L+R0P6qhCxUrL9EjE71MCeKeWaGsktC8vJ0ujTW5y4NDzZwvDvuEXAyH/j54GDQa4olBQ2THHjFhIPK9LnceAzcKAIMmNIraDW/otUT+OxYmRnR7OC1et6qXrtkU6OY1AKo8cKNOh0xYQEvKq1qOu7f4bsfufXn2XJ8pVsC/JzvsC0Dc7fELNnVHHa3rb9yZsPfc5mxPT5uHZbOTGtQ6xLklrLsytwh8uHgHe35daZ3zTjog/f9MxXKAY0DfCo1vnlD+74MteMhM6OjDVR3jtHd9MPm21/7ZO2L2lZFRYEvm7vzKfkiEN+wvz5qUxOFcMc1ucsp4dXwr0Y6quzUzE+YjacMsTXEFCcFVyku9hloL3ivviSl1CRWUWXqXyO1FAGHWF3x0TXVWskI2tZNR3kU+hM0EoHnloMMFKjzC2ik9vVZKegkBLzhuw4GwClSVQKb84STHIxXjb4qam7e2R00Q3B0PNB1OKueS35mRGLBnd+eIsDe33r5gPzUDob8kETS1glo6Imxz9c5gKtikld9uDttSamsvYuBEwKr3oGeWBpb/5DR8xT/dI42toETbXkvj/XWQh7jV+DbzMyfOuvqt4bw/LUcAOMocwfvP1/qlJb/zg8XblQvkh/ya7kwBlrNfvXRPNasWJZq8H7OPU7h5x/OVXSO+CMFvmD6hzJu/KXn22+v55RCzs5/8yF8b9CEZDmznc3i7sXZNC9nxkr/3gbygS0J/HfVLM4dafP1uCXfrcMTNfn9eSJrLrwadHxZlXNq+g2IA/wznj942OWN8Nj/43v2SIVem9I/8f/rvY2bTQGGQ050jecByVk0T9Kd35SrfBYbfcxzwERbsYutht323/dg55GX5zH5aSf51UxdSXXyNN4vwEh8+J23IjbnCMMd69fsqtsVW8sTOD1EbmuJIfmv/wF/QO6LCtAKoI4qan8CrnnZaRvcZsQPAmtk7gxyC60QVw8ZQ+yU82h6MGGfd8RFJzOdsHLmAkPMvs4BKktHoMOf7bCWkM/r1Nldjw7vsTAeFdg383B/8fCX27RPGoQu7fmNUvXAfX4VcWfBfj8Al33UIXxPrW/nCO3oCBwA+G9NXz2PNw/081vtfF5rAX/OpG60Esrq+kKD3rFIRUd5O5qedG3O1vW7DMx5iQJ9iApmPL769JEJ2Z0Fc84gQWgA2r7869WltM/xLDPxr170IcvkIhloSYTCeiQafovp4/yC2LsR+PO6xBqerUqHrmpCEgAvfsgNvRXGq4Wrmgz2QmzQP2LvKnRwC1uRSs9hGycDi3YrcbxXf8p61vhLIgkaQ/Ut2xcQ0191pAP4OS9cH3Io58CnOXAbXrnAz0N+oYw9z+NaFxH5AW5ZnLUaCJISPhee2f8omO2mIaKQ10Ncon+90hlFRcoOT1OnSDXqcQhYJZYYVOoHDs3d/uxXQwfvR/eSacbZ3qVDp+k0GN88H1vJMy0Hl7jdXPW5VZXVJiJVgcbragflxlfmpb/qgDl4UJHxKIF8+s0mU2e0/6B9uDU9uTLb34j7eW/MuV4gK/7+Z6MBGioXW4BHMh080Dq/92+mB2au6V8vH/d37mJP9enWlP/mjUK8auds+mlcmagYHaotdIH3/aTR3ifI58o+bMbLpO394ddjn6NejXszq/K7cLuwKfETT/wjFxK3nF+NX885nIs6IIgI00/9zxdLNJHatUi5wH/fpas31ZOiDqXEsZ4qW94LTaraxT2L9lszzV8tlQjeO+ggMvJeORWzO9j/JlZLgf7u0hK916OpXueg5eYT/vrzr35DRWbmeuhQx9Tgfe6Az0DG6xyOuqjaZH4W9rHqgcM7CKeiW3Jz92bLr3a0PTHaXUYxooOdF700Z7nAwW8PVnLALj/h1A/zAS0vTQT59VYMxuOMv1X2wcxQl4C/A2hqDRiM1GhdAW8e1ddCGuOfwhICGFwe3cM9Z+SQRZDTXPlQWsmUGY+hZaoZyo+uOUOynoU9v85FiYjkh2DLe7P5Nd2A4U2gn+PQ43HincvOofFsNKV7Fo/d0SU97UmKn382QtmVmz55l/9yuqokVynsgm18LIbLA/Bj4ZtcIYZen0XPuntnziyki3WhgYfFEv6dPgFPIPWku8qx3yt7tlvQADLAP83Ea9KHoL8WZqZvF2xfN4L42Mm3fFLXvMQVjVZfifWNMBuw919NOwfFXtW2PDH3cq3MeV6gf0CDUlBPDi4gD42LzUt+rZyuMxMymqmCvdb1oEFOjC0ZDTHoB71ya7mAPhFi5At5Au90zSwDeavZv7NKxkYFWngPejIh59H2z2WSthvyjo5MmuiywVqg3xnXzmAptr7RYp/Tct6wM1xBO9ks3Nn/4XwtSlKeIwU4L4/mvhhP6ktCXvrvs45mzh2xjd+1rlk4/xCEMDYziKm2JeiKjMF3iP7zG9345TzA3xs/mvf9rhbtk8P7wC6HHPT3jtkKWmzPzM9ZADp+k4Mow5d2sLnpKyhhL7zvbab/3hsbfdH+4CgHnjXmv3Ohz5Ft8lkvxPx9nuYgZcND6O6n6XkhaHXNEKph7z3OsX9k/PeMymBICdrvy/QSvtYrtX27HZFDnO7CEOrzaV74REB3oQtzuze+Macuu46grqiGfGO2fnDIO+dI3mHf2aChFzEhc9YpAGdXxv0r6Ljrr5+e2EeNi19ei4G0f73cPNirX4VBf/33IQY1N5Z3UiVnkHcvoOcIF3Nfs+6tcXOvcDzIVgpV0wzxhHIyzGXFDw7fEg77W+eC01z7ECg4IZb9ry+gCO1YiaTIB10yhAU2JpRholMb1nhEJ+BRXWGDLo7WyHgQFc5a8h7dZJzonJK3evMFo6Br7dkDXt0ZLsU2YCSx8RdOgAvhV8xHkENs0EAMclwmLZIBJ6yBq67Ab3kzeBE3+c3xjgTxMmXpZmaft0iHKVshJ6oNuEnCNaqkAKwMUd5Q5GaR3EGc3NJeFrmDXp66klvzDL/LO4eVB2/8fnRWwAwFHEddSfy5NkjlapROambElHJsQwWakJnardBwRroNV9O7kr0vVBX7N+DnmAGXS8ccsNX4xu5fcXjPEJ9lsf8CzB3b3vRfKosigkAXSmpqyunf/3na9X6lnGUuAj0CPyRySDSNw6uMFGUjMlrzDgoGtxSvUugDN7VswJepIK9es4925KwofXq0c7th+Ga8H0HrCYjDrQHuoVx9yxCDeNER4drcU3+wSVWAFXYRKMfMkTnawKSsbgCOg896tuueQH7AX7zvKhLgl5/ek41JimNTk6pcEavrySUZjbyeGA7LyY4YbyUnObWW9+v3A+9gM+dOWckhfmUAfMn4TDsE1J2ZHQV6MBJaG0xc+Pj5lOyfT+CjEes3d+augVdJtr+7QquIUH+qRHLNNx0b77m8lDuIOchZna42P+UD39IeG5+uNHXZvRXSN37WMkifNB4eueV9VxZB7P+viaq2VFkm9gOHHFX0fs3syqOAJqnhKi6J23HOQH8JPHpjS7u3NEZvzDH1Gn9W4FlF7qIP2BtPPhi8ldc04D94+LOT4z4+Our7BIj0qiMS8cGtI3tmHPbjALl/U1fI0Dkf/7jVhBGmMm2L2/0cyAzwP6hhDYuRXIFXpcRZOXEqJ4Vcbe6sgBPm7P3PLgvU2zk2/bW+mXHzOvvaicl/gJ5wT05l49D090ti+KCpKzLzBqXdxecYS8HUpY30SCz4DApxw1RhnBnanrnSWgRxNOiLNTRnnTSa+5b7a2PZd2bL9KUdTpt8B24kWtQ+Qe9fa7c7pbGvRQBrFeitZfNJ6q6EZ+pVuP6QifSY2ScyALI8F9D6KCXT4DFreYhQ1y1gXMZ9AroxrIcBeIx61Uh/wLPZmC1xEXYLRd2zCfzfWZut+zuvJhdR5WYBUIkRZThKBjzOP22go8b25zMH5tF319zSiZwOK/DPN0pxhm3QX1TeeNyx0/PP//keON53rUn/O68cNAmjeNdyMzNIz1nx5wrx8d+cMv0k1nphzh74zt4RcRJBTFSKEcgpysyWsNoyccz8VMAp0jJZm7ufJnrVpt7uoDFzWN0n6MET7+WYjmuZOx0izv4qepUyrk+gNa+VBh7AUMK0ek9pEqQlwXX/afwWmPEH+M3VkwYupDHkrJ96+9xqS72DRn/V9sRsXC+/vt1CScIOO4gH+1zKMqe8a5FvPCFlpfG9ZWTMIVObudaN09nwvUDj+kcaehBrHUqNkx3lV9z/VuxbKtYnznjHSvmqc/CK/vPBR2VD4v45/6/X9l4HsAbjygo3WQEbSuCOHLgh5EtsN2G+qkEXhQPq20YM9vHRnIW0k39TLo/OfLbZb691UirISzL6t14VHeRJCGV6+mbITT7h6EkdDFpZ+WoIvcrCR6VBB46YtvTzgYED8E2/Gw5bOypvS9/klqA2fbh6MLUyHS7+uGlkmX7Z3fnrz2sWrQ1/15/jT+/kKEsO+1s1tg/IOyHo0Rz+K88DA0xIXVHsU2XP6zkG3HN5xyFO8bBb2XC44hgIhznXtuwR+Jdzsg5PanUMNLhr+NRrfzGnusNn74D/LhDTz5Sie2pJUY12ykqiRez/yK31cKBuEN9r+vyztj2fK8f7YKanwXiTTjxikTxW425rKN8K5/Opeh9Wyo/bDb/uHRYeJq4a5xoH+AaxkEKYdtgFzk+xV4coxHZywxsCvXywagSfGGNeWAusBfHJALkWsK1g8tSW+NBGvCi0Hmpu/M/YDvhO0jL16su+nJl8h/eSYgb6ADRn+rUvG1qtwCDu8Hk1YZB3YtD31h5hg0FfwKkn9caNF1uPpTlHa90L6MPVcHrn6FgrKCKGATNgD3zjSb5w45qFnxZm3R2w9JCV84hjn1On4yr+a+Zyc8h3PeTMaxOrDXKMFHw+5uz2SM0dY6C/m+3vnTj8ADplJgPzCOhSFSlMmAc5twvxKF8cO4b47mmsnrW5ixWhlTLPygfyOCPcwdbtSEB8UaKtpQeI5W4jX0sA+PkB78Ocw021NXdpeHnyXr+LwfbbYn/MYpIwFzJb1DkySP6f3qWlJFP3P/+70D7WljcK4NC/vvrMYJa/oxYpKNtbGQPkZWoys96B2h2M97Yquzc5krh+X74xG64y6GzQjz+Nqzlo7O86ml+5siiEZ2opdtiROXVAG9uAf2MCS7tcuAVc0tGP8/h7/gTcp7rWkRoKpKoimi+pa+a/7qsMpU8eaD8LbdAzi8iNv3MsVx6Z+kv9Ot8YiT2XqdUJyPwd56HJKz48F00HNDac3+sJp0rLn8Zauem7AFZt/Cy+c2pmt3UfImjhe3ta8a6jxmuY5S7EUq0Q95TdPqueveqjPhRwmIwlQRGSXSYsJxPIakMvb6M/xreZwud5jZAX+N6IswFyu6mJS36Yg0LQhaHofR/4+KGyIKe4h5UbDz/4/adNZ6AfOmCTL+3wU/foS/K/W0rDzcyJFBG508m3qZhlWn7CMyfvLJY/hTbztHNPWV4PusC8oysp+bEyvbMmdgbbA7b3RgbltNp4vhtfUwa8u3vdO7Am2m188KqmZA/OtFfYGhewJ1o7ebY2d1uqmdE3LZLCzJjO7Tk42nzKHZnKMLmDHv/hE3Igl5pa86yFGDRejE2ZOqRHhPTdP79l2ace4AXO2D5oQ/mbQ0TkCTElDuydjYQ4wcL7ZgKnIoL34KBvbmurCbFlzrlAI93OgszMJQF3O8ZDHAEXjQvEA7wRBjr39b1mST9tyW4OCVq3dslJRmb2KrrX0RoUTCctfC6J9j+c8iNz8U/BHk8eke/aJgPkanifqQc4A1wqoZR5AWjpDGKLtBEeC04+SP/vPuVdAp+G+Oob1w/E+94DHDb+jwcSfm5nIb3KWY/Ahb/k13JrHeNtpkhhG5eK7llAPoDP5akObT5gDe8RHq8rgHNnPOSnmpKPBv2bYX0C7Xon1h4XESa/vQXAi7GD0rZP13PkHQUjWsKeUVNnA28ZFbO2I/z/p+d+oaNdGw8SPK765OqLfL/tWpdgxZPM9CidQc9Uz/3rfGNTz/1PAfzS+F9DnDpVrw/Npg/STlfgc6iB71l97d3U7qJ6WHrq+l0TIVl9LUNu6iGihRDn1w/AK4ynBkqE7FUCsR9j6/HE0YsfLqsys6KYcrKgcriA5wIMY5u2aIgghv8+W6QQFcrDYWtVA0J0S3YQozvF1Cnn3RP2lae4v+ViRSfg7sDpfHj+PmPYzKclNMCv83ng8g9z69zDs5e4NxOykzwLDk5LeQR7ZDM5hEAuBd14APzawf7oqf25w1v1aAJ2pzbi+df+nU6DhcVyqyguWTib2bhWxZIbHTh/3XHAv03yUn9I1j7JBt9h6L6JfVjrsSONxiQXS1hb2K9dObWjFzTOUtUhh8+Fl4U+rXSQPgu6MOUyqrk0dVzWOSA/2O5m5szPdHv13i4dR6g7jzmoyiUmU/ush9WnYydkCHrZ9IEx/SN6/k7DxczEfFQ63Z2ZneYWugN/nzEnqdDJW2Fmc4bzRxsgUwswg2a/GF9IyexXz74PGkDCHk7EhJ/mjoe76gO0uysCPhUTTwmaIS/avHaMXyP/ynt9aiHmZU+06YcE3nxrkOwhBhy1QfwzjzELX4FzGq3x60f/wihSdqb2kKSInIibxFn8e8anQYvmdCQ1Cy3vaAFvcuxFlpCvtayBS1+4sO64r7ZfbRk+rgTxB3C/n3OosYy6K2Vy5pQ98KBeOJ/TYolyUKWg+XIe+Fnu4mfhDg8MuAj49zvjDvTG1dytQA4Ja3s+sGlGlOa79MvMwVNxOniToPmVRfOvT4Kg6Ic7t0dhDVc8kVftHC9sv0it5KhCBLz2ALErQS+Y3mW8yxk3HqhSmT08AQ90kFWV5twStFbfYQEM6WSRDwo6T5m5tEimTVDBeqoPhkDvjqDBmfcfn79tfDJ3QGo+I4lq59Nm9sHD8ey0oX0RoUeKUN6UDdDMIObChWCtpnSCnCLkkDo7DzDWnBt8AIby1Lo5NVeMTvy7sNQC/PJwdNYXZzN3Eyn8+QcbVQw5nxTmLtXaG9xBoJO6VoOGML2ZfZKauVLSWedG6K9qHB4Ccj+z4HNs/JBCP5tS3xWVKBdJiqPuTl35hEB54eHSbJ9rO6FB2b7MTP8sswtSAquz57qi/rFyZplPfEnD+QjcwQM+E6toWIvRcoizrCdLf0n4hTL+Czi1e1ZiLqrB1O578L50LW3/9b2e1PZZzvZcOl1ytIELuColXHbNxDs8PNyTmz4A6x4p223tOB8L1n0A8XFZgA4ScJX/zhlactiD+Rn49blUDjV+bT3qRTy/nb/2Lw6wcds/gA4ATJJvqaV0E8iNAIanUfLNg8MG+43xeMY0WuZG+5CHge8DH+Fxaxtf95Mzv4H2987D/JRTbv3Wm2ulz4ECLSsXWOsXHtaVs7sWoCKBAN7pYBuN+AY4WLQxMrUG3+k0O2dEJB+snQr3NKPYB/6D0xAQQ/Of3JkD2FPvEJN3sh1czvaUMR41I7kyqu7c+ufReknZYu5iZuzMZvZmUTvLsbHNuYKSWSm/sMOuBjGw4+1UDJlGLDMOTM0cflND9wD9Bs948MyZItu6IDP9wGF7TzdMzxE5ZAF/nbM9Wwb72SXAkQeP9PKUOoOZbZoUdmgVAvJkuHZiXCdq5gVZCzmLDhMn3ZEQcKZUBXyvqtgQ4WKPTF2Z0L6XRfs4taVdjdzJwlef7+Iwlnr4uXfar8USPU5rgcMM8RU4Yq+m5Mmfe95MkrbicgUcmUggBx5pyO1dBpI6zSJJj6COc9ffEdY6OTX1OYpVpRqBYz759PnSyzbgUg7rOILmKptIx/mYBK2VhMxOkAQeTyIVFc7yBro1oRrVgClPbnVdxrTfjuh0BjVnjJLyEQACdVcQxR4uO30OkXMGrdyI9p8XQbulAMzzjvOLXdvYO4eJFCNonWjncqdbIO8da45q7uKkRSRN2f6r5aD7i+UHm35ytyuYs6+KER0qtjAa8KRxkKmN+qkc4PST+lcD0zodvB9tcRdd8OBpyItvgEvvqWV809UE2szosNzcbQjk12QyOt3c7VZu/X678zjJxORnRheL6dOhA7qoMrHwJt+Bd9XNkLy03o2y7lI5yQMDZhPTV8rlqiyeit7QxBm05jo1Dikqth+zaLlItxvTgJMm1p3xWuCjd29d3y4on2m49mdznqe7kyx+vbm/VDy8Yt549QM280UKbxW/54D6ToZkqqwu5qb/qf/f+ZSybFaEoKeCv246rMCpDhDvBOJS3+SUxO0UXlX/uYmAZL/39YPpE1A+/fe9bm497EEn+t8nFzCpV8YnyGKRdzib3r4R/5w29Wi+DD7fnCwGjonU7zwpozNgv7ylW/tsn4ubFct77l5WjshbS8kJ1s5rdGdmIb2+F3BX/5KP+QOL1gLdMeNQzczuRm58uTj/agfv1EYJ5G/lwHfbMu5XoLUO9ZCYuVmwH7Vm5k5q3D+PwDXh379LB7RcOV+E1k/p2P+8FuEddTSai0zoDjTsxZQkgXZciFi7o9ulNDKjU/Bgeh7hc3/YkIw4XMw599By/DD7ueXIJqVcQNef0mnYeJhEfEq8JujesvCfH2zWDLjPx5tzHtVAXVycLDs2nv1Z6VfYNmdQSXem/sJQ5ckAlaBlL5Dj3wSaq9+7jhB0RaA+lIt94FbGt8LiDvmG/AVazhtgr778e01P37PQOK0cdGvj6k4cdMx7trWQwbLyclU6efxXBwF7yY+I8T8f1xEDaJyeizC6i3BTGR+a/kLWGm8zPdsSuC2z9s7Jnl9n5rDefkqDdiPFkkM2MfMIndOWPoHjWWlf7WAPXwrNn2Z+q6T+M+8JMj0sUlzsgpEi1/g9M7MVejlDHnuDvXpXIyozxn3et1Y7vPyWgetECBmPhRoYdhPoKR/xNeWJXdNkqy00Fjanx02KtEwOGKEv5mh6hv/v6M5X4K0ScOdah8AzA0LUlN8r28QN+vV8AQ1CQM++zqNmPiQ3ULh3yJkr8EuLD2rNYvg9zjIrC4kimvtCdAfIWUvatzbw2v64IZcwTBTzhopKl443+L1JVuvUaqKkJK6MjtbugcdF04i85gZGqkT2yR7WZlPT0cYc8MUpepRKwXawhgKDtmaRrk2NVT3NEkfqhi2isY2AexxsM7+KWV1RWGugmAQdE64t4qdq3APmA79h6+ssxdQY6/Pk07qE7GiTkTHtsmHeVZZ0+FBdcWTfsMtBz3xej3bXwR6WoDES0KkQs49nFhEL9sjESr3J6bJKJymNV5E5X8zEn7tAOnjdBbSjNP3Rb3IbtvQdsAwUMIv2pdS5Bzr8oBx5q92uOk94aBGs6WjB70idFPgs5Li7iHKPW5+rMnWitrq1uivbLQQ9JOd8PBgN+i8v40GvUpASmNG9snDPAkxojFf6vjzPwwAxwnVm/O3jyuVuuiuCv1ci9quZL2Tu/2E/OMyCvet4tQqVzot9AFhPmYUSMnRUOuj1Dt8Ew5jo+Z0hBDiUXAWTYctlUQvyU3H1O8cbl2auq/FLmV05Vl5aAr/a/AF0xwX4fYx1sgk23+S4B76iv4zDcwsa47SZeeikf51jV1zSrLjd24g5LQNcjYdrGnQQq59POnU96/mjMT7NLAc9nD/g79Z6k2MdYmH8UVtXCnOfwseLcS8bMPWRYrOTOrbEWh4ZTV7668j7xGujpa8Dbuoc8mKau9zpeqU7m4d8ZsP+f945G2BUWT3SsX38eqMjEoiBGE8MB78vuZlt0Ab+nAv4BGY87OBf6MMmgxdGLZ2YkNMI1EH+zU62jzh77ABrD0TMX5CP40b8cgbQyx7JndbUzPxIdnFTN9kJbnqCAHOLpT851VWEy01qYnDoTsVlw5ufHN3Dqy5FwztIMcWmTm93HpPhuKl3c18Pa7TWXKfNuHLifl5pLwG78FQDzzR1XbnOd7DXfoBfXttQg6aULhshu1m6gvifgUvEteZrxvHrsyKugds+Yf0nKYFvajbqmIkkEqV/gu9yyWh1laOC7yM75upCcFyYmXHAya8YcL22vKLS+AlacyWxuRfgdRp2TPW4OLo8bja8vM6+jJdHa1kb8M4tpwk1vhd8kAXV805Fn56YjI+/co0fZqFNyy865aCjcn5wmlh9SzcRnM2kcMw+SBJpoXd4xzaNfXEeLcgT3Qvnb7BXbrm4eKKXQ1VynZf5TvXAcOjg1E4L2gQHRCd+Y8kCD7B/RzmCOqyAJw7wzHET2ito83tqdYdqSp+UKdAmfyzOP82cEOC9/+ZWRMpal3Nxs2XErhD7O2C1GriH8aY6nBxtS8F1A1irhJm7qCQrUaRc/y7d9llN87fQqKQjLEvMMw66FnRnxJ+3DTSKpUZO29F71c6JdtM/apQ/KlA26JCqjgjCFr62FkegN6OqNB5bywA6cD4DB5O6XYEvWITdXDKgHWhWJ7eB61j8WdgyKIbuzqnyU41H6thflbX/Nw+xHvQD+F/ZDBIVgB3ADpI25Eleoo3aWKY94H78ufIYPxrztAwiX3h5EXYjPOPD9KDQQH23oanhmKNiAmR+/+McnW6oKfkCLvTKX44K7R0Ffg86gdIwWUxvuQryDXJvbuYI5WIBtUEmIby+CIw3/VzQCelMrCV3+VVZyq1BOBeAiP/zDsaPfOA1cMn0aMu4ZfZrJlcK3HogZp4658eamVnfpt+E5/W4P8g4gVylcjmspLKrXVPmLtd+UZWdbDh/r10dVwznBPauQgcvC+SlZsQnsTpm8WVHQR9R/vd1HvXTOHgCLvoO3zU7WbmXuh1JnZtx4NyAD2/Selz5uFZnYQHOEyszc2a1+pK96nPH2k6W3In3/SkLO+AbfNeizoW1zyErFKavKHXk6VUvmjuygmj4MHNCWcgx8IxrxXVxntpHzpb7aUNDwXgOOAR5VpHcWiLg+GXRy4MKQcuLBb6zdCprXWmvL6AbT8yyw5xLM1toaoZ/8/VuEG+H4mt/OkfJmzS6y+ET1ggwWps5GOaOssvKdiUhvjf2TGWMgiZcrvCzz/RMMUsy4MnHNlJjLvKtiFFtZkywsvsBjmnOsV78cEu3v8+GArtgSwR4EFHhLaARL+mor/kw+9JVLjV328aXBeVrESTM1C/QYp+d3MSXvf4w3oUyHJ6gcS1zzqgo/i5cWHUzxzIir5jXEqlv0FWD4unWhPvA9PIChzLzHxcxoOEchQ4VaqXh/qrKmafl8FunS6PVw3GX8wBlgDI74DWVdPYPKWbQ8XZ9FvhROOQjdf75EoMmNfMhbQtPg1sBh0hDL2SAf6B3hgJVK+d8qTcfFbSrMqRIGw874KhXoZPV9HfSgZc5Aw00StnG/qL6zpKWTFuaWmfmfYMWe52zmYnYpi7MjGqy00DW1XSBfOJbWTC4sFdBu/prXZqa7vxu/CPUcw9ajH/IyYf11DuhedR8/eblqxjJjbzfrunXfs61/mm0lKljvXLKF9+QmQ2yFI5tzr2eRCy7Ss/BOVZfue6wKBXNR20Lsaa5S2LgmlNt881gBGV4l1qtZc7ii41kLZIjxKIjOXlvmP1oNKrwaL321yW1k5z0uQvEx81KhGHff9SwQ7JYZy3kfdBLJXBuXolZV8Oem1raavS+SfS4toPKGopo7iy7NiZOWqoEB7qHWD9ipnAO34Hw4d+s5zaci5zJNS+JD5/3TAcbPoljScOH6e0sxOq3HLSwXT1EmADvTjjd1IVFK7AhdW/Z4U5Db6umxFFA0yAWr79z6YXxPyN26yyvPg6LxT5v3PCRMu+WW7xqe2yZfmlhvFBtvRYCtGq0Ml6ii4AsTi07+18MqliVsIedfSUn7jZ9Embvy652yY/UyZua2nsWcwEY/uKiKXBJU59hi5B7oNs2ilJTLx7UXAIn7E7MAS04XdyaLcN56AqFukkGujvafDTe7eJ9+akj4AX08DwHCfAwUrNAuqk1d63bXY3X4+tM77iFDvCZBzfzRMN2BSwdQCNFoK+uwOe+TR49bfmT2sCdzN6h6JQW+/4syMpi8pGVxBG93sFnOWeabsT1w2rwvBTyUTF4W+2+6gGWAXL6A7iap8p8S8XumUYHjzxhHSep09JwVxxiJr+acXE4S59HF1ttrwajrfPnUjUx2xXhZQfPc6+YN7XuX8gp85eIbhvR/ls9/fM/tCCvXRt9cVsHtK2z1LKU31mZrlmABzkl9jn0xiPsThWnHg46WE8lMD1cz9PlTgf1A9rlqrhaslIdlPCsIkA/nBmvoc+7OUM4h+v7S6dgcTCdM2/AjRP4N07qAtsahit356oSxqMhsTDXpBnll/HVgnc9q8HcbXO/Eras2IyOVjcXW5fWzv4IWEox9xFwZ9IO2K5o96qrNP71JeYIGImG3L63Id6drNjbxYDh/ZNUOXpON9MDnK548IqW+4XxMC+YrgFp1rb335XbhebcKO0PHmf7snD+bLDuVxUaPzf1f3HI9mYPLrmzP3DLM44E5a8XwzQfQOuU9eD5jZjrhu0h915cwjUgCbAPtv4oZ2bVhgo+7O/HjQtu/zXeEznuh032aAY+5IpxedVwfsuxE8XA37BDTnTyJWjLi9LJDw/xhwj0fI7sUJq+QjFfivKwS42HblmBljPzVuffuWdUzBt2zQx6nJoZpbmDMXDuD9inNcT+C+eBi6sCnpWw8i/wR/Q4wV5LHWwfHWDWWm/AK1IVQa63k288Vnf4+0GO1iMNlZnFOKUB8eHnb+CPFuNoBGzXMuo8WF/bzKyW3M9fHBtyUi6Bf2DKXDPXjofzz7k3P8uMOJc7A+2Tl3IDXRQX48E7A+9ONUpB39fUlmv9XEzFjPEmOzTPfc8DDFoAiybGA4U1NL55L613dNUC+y4v+mSqKL8Vdmr2SVCNCLjIPqVh+GBmVlWg/VTYdcP1vUH8DrHxO9MQ+EkkrT9mrszvHNcs8r7gGVzCJD1ZSJyBL7xwnpdzTSwlMehuBlrxPDzMzGpgnPsIWyTkQfVUUfv4xfneeAYqfh49hzr7bykGh/f+bHr0QWvfCU8sVuJLIeyfmtlRPiqPhOjFsROp9UBitNWMbekAeoN5pld0aMx9Cetk5SIOf94BLwiLUMdyC5/Y8t6Kvr2nLgPce/zO76BudU8j+/s8daVge1ANqqIUd/X7/sWjFtCTU2rq+hBys0DvaCi/z4G6AEbQwvZzwB6rNh0k0f4pKR4yiibgLD3jF1Pvx9ORk0qgj5zz4kw/n7A/NnPnZHzlC/uvV9n/PHUt49lznpLodzapc7lKmmAlSI558pP2qdP0n/e8rBxY0ym30C/2wDs8gL79rmNuSVO7rtk1neRgpoKlE57PiHcs4pBX8p1kuxfOfyvq94RW9wINVxag78pBxh/3Xm8JBT1qpwz+7uvmpaBSc4ccc9FZZLA94KjVubzYxmtMDCrlPNmML4WCvVh9LWO1DU/cH9w0Vq/aA1r05Ekn5TQ0fUB8uMRJfho2PDlXoZhCwJTuI5/yKwcuAZ8VyUF/gQ6+8c2PTzaPYL9SvnEp3xeLiuQOGnEHqG2pAfae8Yjm+UtXgt5dYuXIPmehxa3kiWON2vDzCbr4PY08AXvyo0F6be35RCNJYD2xHBdfCJJk7/tbG5CRME5F3F6JrTsWqw54+1s1MYe4lam5/X/uHQ5eDeKwHtmDjMlFRRJD7od3pN6anlQS4qPSyRGHZKPxvJFyvgP+nGBNYhlIDVrpZk7nfufIaF3y0TazGa/1uJ4Kx3vgiL9i/s6sTyeflJm7XmTRepNU/8DvuZ41rJOzN8ebaz2l18JiVxIaz6wV4gmP2Jq/6jJ5pptvA8d7p2HrwZujJG538F1B3yJUADbX/+dxd2JbZ2cR78iAd8AzxzZWpq7VUrb/drSB77K5p9Giz0jF7LdHfLWM79m5h3UckrAO/jq/swqtOUoFhH8A6/S1/zIeyPh9n+MAvfwc+vRr+TYeMbAP7xlCj0bsrlkpQ+XiXJgZG+9LWlBf0+f+o42SL7zhqDI9DmVnG7/pk2N/s/f9vR6lUw/kAHvbykKFjtvnlencg9j/VytS6CSrNpnVLn6yXmp4N6gwPVd2fiW9vLNpFoC77+Y8Ph9lBrhjzkxQ1auFBeku79tnYYWARUkmHRtRwDPcS4uXejGzv3ioXz5LpgdvAu73I629jxmiZ+NpM+xWqnO3YiaPq9Tc7eXl38d5Qt8tWy/Ax+90Q+/Aw0eDfSRUd2r6FIqbqRsRxi8AdjYpzKzocf86Z/sCvMJnzh4FUx+QXz4qTRzGDzY827vB9XTMbdhDP82gCuAbUkXseg74RZp60ZiMLNLHyiI5DddHRiXEOzb1DB8qxGaezSbCz38+FZAXPREkK3E/HzjG5rzwxHrSnyn6SLfEyznodX3YyVjez2Vog2bOsf33IdlhR0W7awb+cYanrxkuU3RxWh46MrI148Zr8OCkQv28avVVDLo3hlTE+HcW7d9zN7HbMH2KOBEtpKyUchu0ZN86nZk93NUQ99KMfqQJP4c6IUOyy0L2TMUaiFEbL7IotQ7A3f4+C8BXHCThS1cCJxa5CHci6CKl/a+G3byTS2wZkI8Kvgdw+LeT3T2ByZXVeNiI2Lls4hhPn8CX0zvIiu9q6iq14RF4ZwlaN04d+6qetycu82s6dNvr/ivd+LcaDb8mMabYUoHxn8w92qdb2+ufyuq8TPAdGfaWEssNNNpVDrYWpg4MMB1P8qd22XpG7RVwBN54eBUIR/BsERuSHwz8518vDDI+pRJy9+cqAlQ0CL3TIDlhwSdpeYHgyAfEW8REMqyBP5ue1iipaWR6ID83MawE9E2ZBsnNnD2mUSdbngTUAc02DV4DT//CqHzcQd5AsBN5ZubU5tTUzjIrjYgoNv+Xe0IMF5C/cMVbmw77oAkNxwCuzGcPNMTTeMSC1g2A83gtk5oimVWAkVXpx9I5WP+4jc09NbHdWetdPd52oG8dBTjXbO01Ezs7C+Qghu5IRuBRKPdyfbgW3I+JxpKE87Up8e73vsGVTx5I33Ttphu7i9Jf4bmPgLEvbX4AnvnVovmd28p4jK1ZTPpmSn6I6MwsW7sIyQX0mmCO5maeWzUdnjRMOhqorC6BP9CDK2PI6z17wGrvskgef2f9RTIDTJQcQOG/zwpPW+oBz6QUJR2z+VcG8YGp/GYj+sBUDzlbfOBVmGl0bXueKVASvEyOVQmUqpwXXnbrr9d9CRm6/7wWodTy68+alvNDbRz4wb96tlvqzD+gH019Uy5dFZ6DwW5CpCFWP0jQ/VAmQdehqo7k4Ww8tyhBwBVCWiY/9WA/GxuJNuALhy2HNbmLIXzC/8+bcKEU+GE+7F89PmuKNHBEnUskSxaiLh3QCbAXt8Lwi90TtBGtBtJhIfPa1d+ca3gefID8w3Kmb2ZWIh72v552R1d+pyWse4BoOhxWOdoQH+jlB3uiutoRiIecEq9xcJqF+Wpwlot9BriZ5ROf+JBcWthnNeQxyUlCRGjmJPfFBJxhwzFoIcCS4Qn77QSMJc5H77sdsZMyYgG3fHEAW1qdBO4giOGg0apFtNTnrz1uY16aeZHwPg/Kgb0xLD1wCarExS1Cfj8zfCEuSs7R/EwHRWmEUjNnr3HspbW7Q1omu2YiGjTwK+Z3DLgBphyxGDCU6bCyueRCh9z2ewwaSm7dgDf0xC7vamDtBUcB7NUitxZ+5jPNxy4pBnIiQpMW1vNkraSOdEI3fhUB8BDLfp2lPGTAD0W4dHhMEjYersZ0Dr5nBDkUEc0/mNBW46xesfG0mgDPDUZp/V7YwIKofzhPBNcTAYzZIyz2Qoam1lXZLNxXmFXPZlhfs1p6Hi6gH3e25OlVuTNrrTkpRrtrbJ2nYrnSUbssghwGfL4OFcFTl5FBw+dxF3ivVjRBwPUc6cw74LBPLnLn+NwvjO2zCnRJGgyvmooO9vgVfs8XcAQPcjhrxKeFo/21+drfW8ihytQwlYl7/lo06RNUx3MJOGO31t4WWslMyKcIKg84ypg6vFNTB7Gid22xH9KQv8ngX93yV+2wVbD147gdXOCHNun9Wx3kT+BlpemTBN5ScuCQWZmYe/NnDjny6MzmXqngpf8mSo3zEjDf6X5gTaeK3dYUlBvfko9MkII6/OX3NTR994TItGuHR3jYGSy9AuZOis/voGtC7PAK9nltfNyp4a2hd4I9OSjEt5art9Q1nE5j4Et3aeX3wlpvzAl3Rdl5rX24ti5/5cokB8xpXK2Zm7hZpGc5EeCuh2fhJoAX2twpJGlkZkB5RisT48EFjGKq+aeX0Rz2CR9eNbdk66pz1FHB5qWOIW6GxZxNvmKe8A04pWN3JNqnRQgxIWzjEXAlU/Lgw22lrrxkwpxN2yvT+ASc6gF55QZ80ipQwpmtf4oeRcCnnsDDFtC1mG7EFqZ30Fn7BiUvDWvqb3JSLFM7kvpkS9usHwbc5SJ1jeau+ySsOJrObAEJgncNw/Ce9ss5RjfG1TO1VvtoJYvi3ZfpfaEucH5nKYmen3SYx3T7fMVhie15EwJrCvhxZvZ3YeaZTwjw42HqIjSLpJ064TMdSQic4Gr6fk/Pmw088O1oeUXz2xuc4Jx5R8irCWGwLtyf1biKQl+2k/PPN/XX8/FkeaVCZiK2dqVrZubuO+Axd4pUaeIXO+SeQu6TwtOSrYy5HcNutwGXNz5zCWC20wR+Ynr0lbX2RbSPmC3f218P0eSVv1K6+aPSMoHYu0Hermjs+zTqLFNHysv5vbEVPoeguxwJ74Sb+7VEwRMZr2UWz7/3gsYPrDJz3kPrgXWi2x59KCRNn8HtLNS/nmLjES05aAamnnIy+8MmRYxoDXqmKHFKYp6B9u7PiLwDj6JswD7uyXgW65MM/AGIF52LPXBeZPqHDucxB/6HozaebYESeLb85RXs0UEaT/GvFviOqZ0hFoF4wuTXU2v7a3y3F9AWnKFPT/T4CXz+jh32bOKDc7T/OlKsD+YizqfuRxjvsuH2OFk6zNgCexP2UvyKQ9ODoEjtoChnKj7ahLRlVzAmv3l48WTojYyRADj7NQX9c+YI18DF02EPCntGaZ9EFVuGLFwPqpTfiu2fAvkS+B3kWTupQBHSXv/HbW52FpJQAGZitvfP48VuLGynkUEZ9A4YtztZtpDWWqUsvVaufMt4lxdjMjCk3orB/gbNNWGEchnJm+rRvaV/r4R3No4+74rN1zT8d8dxMphzRl1VID3SEL8x9ulw0DW1oeyh1rWzZKDLE+ObxLVeKg6xx4C7cHMA1t7JOFvAW+lxSy6QGzocEKsV/MkGZWUBB27+jx92oF+3tPjjQt42NY530KwQ+8mWf5keVUR4iWUbJoBjf++8WI5GL9Sh/pbicifxfCQTeoAWjJTjCZD4Dg/turEOD+A6Lo/WkgH3/MejWOdyVwf1gA6tq+/5RiCv7+618IZmXHeQQ3w1qgF//fGKXo7nYbWp61et8e1h+146Ky+Qf6FWkhXs8sQ8OeWDh3ikKjHuacb163wjErTLAKOBF0ps5uhkEYnPNHRZAThE0Xq0zT2a/S4jwFbgOsUEuSfWP7mrUgw6CPhoyEYPdPpCiuhhpS7JWAj6p1dv1YC6M/vn0/6NbTO7D/vnqLUIcJsWSTNf2GsQX8mI0ybcW3z0IhlKr3bWC2eAoWZmoOjuoB0cWeKxKP1K6XBtAt41G+xSDTRiTKq2TM094OtO6nS0mMdj0GThn7vomXcuUVk4BgNICL/DT+PKOVqt8X9/ctAjTYAiPsJPYr0ogW0eqAhwN2+G/aGZ9LEIvbfKnc1sn7dKJKZ383X2heuB7wATQ+A0/80HWEc17rYW8rTkf828w8LMeKosRWH9ALcPm+mDMjMjm+jPDuKCEZcUje0vQuwfrAQOWlYPOc09tvYDMKCXf5RX9YPzW6eMup928o+cSlOvV7EN1hvNX4DVHnCVr3OkeRZ0npmDetzkD0aqBw55UVx1jSXT09bF3E7yo4uuNOTXMxq83CboaCcvf4CgiXOHWDZ8d77A+l745gPfyyHW0l0bo2OlESmsWZi6gsaWoolIlSHiAi99g/j4AoyAP0/8hiU7ZhkfhTkCHnLNou7RDLg4Wo8XtwnarTuIwL/m1jwSO9GQ85HauvAcJjXfpGy18Zacb3ScQSfOW2WFj3xYrSJc83aQEXCfS/r8s+MbM7O0a3gHWo3yjdmfdxwnGd3Qa6bJN8TOrgJOUls6V19LyiN7axFEYJwMp02mFYXV7T8d9bUfWjMHi6vR+HUBXotWPEDjzfm5Ty3GLhst/QOhupCxSioxO61GESv/9S4t8rmwjM8JaOUZ8Ar0o3IKBx1kbDB2Dort77Vi+Na6HWbsAGxrsIsSdLyeHydX+4DlgZr8jX/dgGeuC6DjB3FnfX5fJOSgLhfypZfdjLUbPH/SlvwkAnnjzj5KHTJUJq+44e4cIIv3alEj4q0Fel8Drzf/mX7X5xIWNiKYeSfmyKiN9KJcnxk/2GLw4noEPW+j19nXXdrYN30B2PI+FMRr4cobaIhTGqC0EDKCvUt4jAaIkdH4EzbUnFO2buuQdyFWRiftmxJOOYSPDM0fsN7vzHk8lHuwANkAt9ELN97N3QgTqcUdG9MQ1BVFG0azfxagIyPvBhxtBg3eAz/8YAg/RCnxebC9FM3A92fdTH+dhs2z4Prj5Bj3zQ7zkPg43EfSJaAFDy8eZbcTPOv/ZpIAr1b2WSw8d9RUh+ulZu2u+tr3wH2BQ/y+s7gRCvLqsDVssCBvAdd97FiEBBc74xu3Ge/G3MVY2ckdR/hDDv9mm1aml0yiygbNXgH2AGasNx7/3R2BO+PR1A54k7L1KAS75zzZqYnEShxAO9iRmrRFUOcfNx/yOKnrAP/6TGMUbrVLgtSaH83/3ad8CfbnUWj+Uw18UwghapMdZGa7tisL9JBVW9W1sTQqeBcVXJna4ffCRaHxfqVG4zqmL43gX78OU5MYAscfMUsdKZmZtTq+5krfdqpUKzH9jRZoTOB8yubAkfNrbWr2Q28GXshS1IUkIEcaJ6dq6nyMuie8z4lY+wdoVcHsZKU6+aHFH+vk2Ke2VJssWw948JWyf+eiDmQSULTYbXRuY2eB/EFAdCSgefbf53Eeqx71TRmuJxdh0JFlgQY7Bc5TROuciuSjCLsZcuP/+mFdnVPua3jXThEevArWsmDL6xzbVuh3PvZDjfsP4McrxEckRMe5dfutK0yn9Fq78rsdkghT5LZsjptNR7/12WxnN70K6Aj8eJC0sfZxNSwWdTTsP/6Vl4SRMXzlFGbmHBcjBm6nH6z3OenJcO7lD5uSI2Ao5F5Sg8bjjfPYKc2c1K526eYPBWyRlgMGoP+Pqm9rchRnovxLXExF+7ExCIyNXAhdQG+AHIVBYMqmbMyv31TN597diKmYmJpuX0QqzzlS5kn/UFn2vbJ/Z9f+9pMJ5kGe8wPu+p+wt9+1BxSUGK1Z2xLXf6ainVgxBQYZYUU7yryWRmp34krWoHVPlHw3XfkSwK84g73Vb2Pgtj8kSp5nlnyDDs/Pwyxqo6N7axXR4jfRv/lEJQftJ2E/8mHJeT8/Wa9B52kbcu+tWZM51ZBvjc8x4GhZtL0sSJFBNs5B5+eR3rDdfVMOpr+a2ManWQ5Xi5q630JWHDiEGtJ3X8AqKf5pmGc8Lqwm2u4Ywycs7FMO8VV26kmdzG467pqZxSVvy3Q1szh67+BYHnU8ljJTE5iMpiZZxI1VWnYH/JxkhexYlLTA6d4aNiVIUsAhEF1mliQiJ6TNvO074fpGQnUHDcqywb6XA+ANw0/S6UgxQPmC5DnkPekm6ZmaHvMkOoXoyGwFi6WOJTNz4BcJ61X846Li/uQoCZgL+ioy80F9WA3+TRC6164PDGcbwR714L0pgdxt5shVFjw/u7817GvTMOBnwd8HfJ4fnm9b2GNLpnUOfMStUYtzO3nXRz3UbjunoQwgo4D2ztaDNUekC23p4H1mo/K4qlR17QvW9HaE7C6Nh7orM4KYi9lUiH4e0v7P4xzgi4mdevfnceKlV3emX4VkzHTx/K+mArQZxO7kQP6KAR9sNjbuqfhyQDe/mJBPPKQerEUHufmzsfA3F+g7RWqEXPT4zyPNsohY7JwpCdzznjH9QUXSU/7bD1ERt43+3QUA/5CsncwZUbbCXqMyxON0AT1BpG67o5X0lelBteyAOfB8jW+m0CPvSNa85t+ZGflI+pQ3NovNmQF/NZF9B56z49Ef0Gf2+67Nxi7fy/Bu5rMZnuCRHvCyn1c6bJZGk2/Qk7dMtKAfjRf4BnBcWTzgU870hYA2ki4PGsBJ0SUdIABthkkwnbx4L0FvJGZG3rtu+UOEX2beVvG/M4OVjqqrR96z/vdzuQf47MaDAPiS8VAzPtLx//puPEWTC7c2Zv95wDFf+LXlgI022d0fafflmV73rPt35vDv7PgMsVitoVMN0yfwHEtoVZBhqbgtS8hFDHfof95v1gqYNpEYtZXrw7PmVKBygf31W4+dB/4+D6Txn03q3/5W8p6DsM8LWF9LvlInmWpqZlEto5mDSkdT14pJHSNCRQu5lfN0sN3aRV4VSJ7T9qAs9SFi06dgL6JDPdf/cVX4bAR+jgqBFhfkzdkWBrmuieYbHjyBNcnE2H7C55vr4C+8ZgKZwDvmZmbUoEBxlTfCTM0yPqZ2m0C+RcbzMLP0nK/owQtFsjGxKDdTG80s6jaux3+1+rqyOAGOZ7N+u8vWxDqJ9HemS51vaTYSyijPaiZz1befXOzXo6PivPvrlCs51ZH3c7DV87emCDg6dfAPcEVX6vAl+21VibZngY/e5wBHGw/AIT+587Rlf7VFOL1Aq3kceKkKvYzm2288IC07eHK7PxZ7zRtSyPwc6DR3ptvRsp7/ztl+z70R5NO2gv1GIDZZyez+XXtAIo6BZ0RmNkhm8StgUUIGtONC+U3QchLwHQ7n0yn8ckTQLtkKiZWZGTf2qR7wibKn18R6k43tqByT/+FnTJeasY2M26IpUP/mGzxubeASR+mQwdR9nYekKvupKq3lVroceOl2OHc8Y2H5e7dTR/oJ65WWBQ9xADRWt6dM9xbw4n0D0VpZ2w0XzYvstt/A54d05G9vZx/ijYPGzilLHrWFp7NITrLwBayJVY7lQpl6QQTC3sY6tebD/2YLP0ozw415ubT9kDKyo8Pd+CzlPJCD6PAVR/YuDWDH9snH+ywlDcicD1qCXnuoAgMfbW6qQ5+/fc9FsmDjnTPMgIXWIx3kNeuT1sxJNx5q5+GPk3HkVwOvKtBLxpu4HpJ96eyts6lpGifgaOidex+NG9rla+5xIFtut5955Hl5by21AG4z8hT+rmO8SpiZU8aBl8TYzFQmsrdefCWO4kle5jPE3eKUFiYVYAOxpqgUKgYtcAEcevsSx+a8N+saJw/aa8pR2QxKK9AZoB2PdajnkvET6IsbH7yriviNavKqnURkgI+5A9jn9E8azZtKbIz/0i7n01WFiuUBWRjkbQI67o2VTe+xkmMXO62pi8Bk9S9p4D+ryP4WQlPpoiQD/DOz7Joou52Y9AjT7OCGC/D5Ayt8VK26KyHuags4uLONQTdNB5vE5eq3Z43bf7m3R8HB2YIWyKxToBwWXz22A/xzysfRzEExd28c6+Nrjij9ugEulVJIkTn3lcbEBb6xA/5rG59iHqW2AC4hKXPJ2HaceZuzsN93HHM+8gsOtBDo6wWYpPOhHQ6WFlLr/Vn7ErtfHjDmHXv9eWTWFvLY710pAY36e6fIncnONXJN7AF/WiBUGB8mh4n909zd8RDd37hc9hrngzS+9Umeb18K9I7ol1Hm8w4PzD5Y4asuJngd5EkzwzBC3VmrVqJpof3WYR3/rEaemQ4uPIS3FHCeOYDNsXoBB+CNWN5nsC22JktRXByt5QD88Map/Clt4mUdZJEuge8sf07hJDKu29zivgw1gueb0L551UgfyW+dI/lphq+H7NFcA6FPbfRTD8ZVANts9d8cG/bxVFK2/aFRC3wcdKTbJnVxtYER4ga4Buirz3oAjR/7HPB0zrukh70HmMFbpWWhBhKedtvbKTC+B1eXjuFS0f1ajuSbUP9EIbW/Y4MW/eOEvlbQegfjDwoayFJcutSaNX9tUWXNHJtzmw795z0V/HrngHZAUdbfXeDbHS6+Noot3in/45WurmjRukdHPoE/PNOAb/7pL54czsbnmGmPCvO52FpdQP+FxPjzXlintRi2DDj6ja/MBd5qvG2NxvhO+y3iNjN3QhL0PiVBkqQxr4CfEsjfpr8KVZS8fW6Z7PHlYDXGS8CD9e/Svv0+rKnbjOoGzxYRZxmaDnRRxzng3DNnT0sUeD6zBZ37xa36ZG1CFRPLG7mlJo6MxxDJjS5QruKNpd9c1AVddjUYIa2E5BT7dCAsM2c/jspLZ4nq4evGWBJkxd4D7Qn6XgXKkh1otZsCDmW8KP7znfYpBWw9B8CJhU55LEGufT2OFnrfO2jJtifa6Ql43YfM/9xowR5smGcqMOi25nFiiFYCEU7Vrgm3N+DqKNfZs3GalbtmzjPoL4pPfLf9zFE7NLvZ1Dw9zoXmp3y+VfCab52Sr63HB+bVEVqIceGhmv47l/nPv9D0Vf2I0Pg9oqGKYQN1siTM+8wZcrjbCtM7BLkjwNz4HuEbK7hf9Wg82HyCHPuuP/SrfKYp7IRz2Dt10ENWIm4eAScC3XxYSxc+s8MRLusxezXh8qpcDHpcXfD691Zr1AJPwMAZKR2+rHRMWD6GNzZgTPuFCXgeB1BJ7/fiK781A7/jYdsDJ1sO698ldYG72ijEYro1PQddNP3PVxXdGSUkdfRCO39S1rKe/pvpZP3OTbOSZ8n5XQx2Xw+mtnR68PFfLXGCtbrB0wadhi+mh9HwWu6S9OD8cX7nluSz8QB0AWMiidoIo+kqexul8XQ5rNnrBLn0f1r9lgvPJ07zrEV7oXr6oRDPR/efV9VnTtUH1u1yyrer+u1zxxM8GVD12S3t0jXV01KK7fN3D5qZI6/ZzDiH3NC72MqAaPGT8QIXo/9JI88GLbo2K3qlLmEiRIM5A37XR0mNv6lle/BdbmmsrpT1T2WRNhfzWPb4A76bJLG2T6EdUWfrEl7aNP7r1h1J4VmVucMPgBOgzNBGFHIDe65gIgGcUg9m87Xi6v1eFXyeuaR4hnUvpEjuGZ9Ah/rmfm+qLZ3kQoVHiyNBiX+w0idFk18xL1AMBcTePysrSYiTVMBZ+NnUqrsaCY52VSw35s5OOtt3TzFpGCJZzxeS360TAn1jTUi6wDAKQmqr9URY3mQ4ub/1vYzkyk0eZzMHw2ojXuCyGuUn5MsPujbuf7XZqlSj3FV9uwe03wDev++kXMgrV2x9OebumYptBfz9o+mSORekPDi4StmWlmOSZS5owsv2StbeA80CuhN/15e7/dvD5ipGBi8393s19Y3/gDmfWn596xD6vxxA8JBwOVDWvLJ+mkShS4L0zAvyyYO/r4NlI+PHJS0Z5NS/QlZ8AgE9CE6MD91OBNmzQlMK36EzvqQNM96cfgB6alCFdvhl+663CXIX2O3AQ+B4PTYdTIW+w5qsBzcxPpD3asQMNBrlbCnMTGLAsbvpIyj7mapVfcO6/FBmPblo58qZwrz3/LPpu1mbjQySmVv/ZgdPhn/mIQSU/XcpKYpo1N9ql0fZCtoL8i222zsW0oaYIMDbj4JtNrDnA+DIO9BcbYO4IC6wg8s2FhzY8DB7wEEd2vEO9pANqfQdhwj0f8pWNSmOvd+zrEimlWO4/5wzNocZYGtjN6uZX/Ffr2Yr0z6Z0iEZDg6zzkPzODPV/nL+gAGHJSFz5Z32uuOIrQLyxJuLmtzauC3CPeKZczV9vPBJ7acaU+ORICHPzMAVlzSf11+titRAV7yvAGcOrzvovOXnPP59mXm/Z4TTTE9hCfuj0nuvMv0eYfKuTX0Cv3RAW6SZmyBZ/PUUg/UIkgdouDgXck0DmdEe4yqagaspN9PqkTHIKpz/YDfxK5o+GU0A0SSC3AS6c7pmlnwyJ0mEaElq/6udM+d+Fyb0CBx05WP7OAvvMw03dmPjB3bbQey2IeTdT1NT26xfr3JIeoiDDeSeDyzUFfYqEqPxG1PXSthXiBWZRvA+/XzNez1x+HlzABImxsP+mQ3b2MzUI6CNSoH8jMvPxpZ+GkLsWfqeMWBzdgK42D5yoXm2tvvUVaajtZfWsgBnGFUvzXy575KjFXKbLgciITbfcUiBf0YqDq3cWj7OHe7LroHYa0DDLruy4/fysvVEwJEMt925vzpHhxcNaFaF8Kvskl3N8dLstj8p8GLcYTuPrzYtyke++3PDly3E0fLO8xIX7eVcJAe2ao3XJOHOn/9P//7ehVoYSRty8gh7PMSAG/OriRT8fx2IIIlym6NctDRbZYR5YmavAvn1MOgUXYnlrc1fmZMEwI3MTXVZFXw8mNqMXy8/+cGG/eYUyKmyFakAm8/cf557b6QB8B94rdRuHmJspRiuGwxaNC/8lBaAEbTFqiekcSUwrH89qrJk4Y3EkO0s4BLhjHJHu7jHpxIYBOXKrZg2M8seVMwyY/aLrQm8pgzLPskPbmt63gZstLYF+qTf3iWXexK0KxdTJvXVo84/n/Zn3aP8LGZM2PINsfFsqB4gT7Am+LucKe9qWwGWJz/w+7IZ9xtlGw6QrfTy69fx62sstO+knfqta6FWBlj8F/gvL2n0dPD/rQl8pPF/9zpp6CEm7FvqzGauznL6rbeRSxqh7zQibhMAx9rNfk5RXL7umypqgVN6P4B3bh5ue96loB3Kl5kRdr7c3bIgUo1XG7j+W5t7wFgd0MsfQGZK7KrxDBh7tP3rOSI2drBXWirMxunnFPg7IvgMrxWLkJREIwtiYJFsWSB/XbDjZdWgn6Db9+co8TNrlqCdNrxj/+bDMoe0LLLXqph2md2+smFmKtoOfOQiZ3wm/XRlti54T76zQvumZlAwSMRj65+i51oj5J/FdgCccaugHegOdD7aPwlDvClA963++5xthLz2EIgziGvC4q8FVuvVCDI0wPXg9TR2QQv32gGuUkF+LPOxPZSj/6qFPTKLAMWZdnWvXGCjRP3e99iYhHaW2Tjh/W/t2Pt++cCpD5pCIWKhPLck6A7VNq9ZVvTvIoc2owh53GrXKlQjG8mMQxu+8ZerjB+tpTvWz2Ed+z88kgcew3dF5SbV+KT0da1HvHKq32tol85W/G+mXY93d6+KUSZR+DzT5Fv2f5Zy8OLUNn2lEnR/y3MkT/mwbVPLDvFu/lDCY00Mz7OYvhub75oBsfNl/uDM+Bmi37Pod62j6ekANb/m0ZJWIyorF22aaE6lmGPQb5/Ade7AEVM2TJ7q0IWD5jqj5AcDfpxH9VO7ZKkd4Fuwu2T89Ttv8tztF+ZkSzqgj9L5xzfGPNhv8lCaXvlNzltZ2slSXbZ7XgBLQnpntDXkbzcd2MJ2W13p6XlCmVtdZu8s7FYAn+Q8GYEvt6RoNiSULuArrOlzAX64yd23D8x9zSyEjcsc6JUMM8B5pDZyYDcipp/G2R7rsN9wrX2pITZsfz73oQ2YmCuUuvmaHPIRPhNrnnIs3bIPLdA0qQify1noVqH2ha37uwbGAa5O06hNadxvGhfWJd9+K9E7QpOkZNPEhDkD0Z3o281JeBLi1f+d+ZQbP0IZmznWtbXo1Hk+c+drQxwGGFd6EFd5Nparovhd37uYWX60/wPruB1Jj0DbybUSFuj4dpNaXzchMk9q0O4uvija3PCYuaf8bvqPWUobr+mT73NsnEy4Lh3yquPeVi4yd7mw37INA47w5oeY6p/jSmISaB8zb80DtJIV2wTyvXR9F/MvOxtDp+57q3Lk4QC4KGOVSrvVjMrgxJobZ+GqwmQ8h7aLI2WXBceVhSTh/FhF23fPI+TItsrEhIHLgZ7mxiOhhPg7KqQD4A1mb+55z0PpcK8a5EH2oXe07B2JeG7Odc7h0zJaQiB5laPKyKp7zNFe9tlNRPZFAQ6864jSQO8gx7O0C19qTW68v78OLk9okEDM+GtK2yTjOAXse5zC7FY5ngA9L+D5LdWwdYCrMCp0Dnxrz4V6CsaetWPz8zjFGcXfhL9nLsz3TLTXnIVP4CG/mpGixCKFT3IxeVSHlgiYB5rUqgslTxE/HVd5qcb+JqjRKFKamWO8SIgSxh/WnCngCDTpBvj6obS/nMxG7/PeDyZ4gmPFgceAtku+yWv7fWYTqnSbngNyE739w+Nklwr8DfrzG8cta4Z2gT//ebC8+DziY8naR2aXt1JPtgjtH+As5m7sWrqyrDl58w2XDRtH7u5mFtON7Lav3zzy//ANFmHJBptWvTodbP+WraENmBNI4O/cYuaOuyCQmcvOd2rGvBo4KuDTolaJYO0f/89dNiJMRyya98DzSA4aD177cLQWH/LqdGbbgMU4gGe3ASwwE9dBc+pAWROuCnksbfzBRwnPzdTg8QfkD487lqd+59hyzgReyWX7ru0BHdV2Db96nH89TQ0IGc38LzXXIejvKGll7Cdp0Cag+RNGzVxk+GzG10jIaybsvHEwPbzmGA/GE76VALkPShurBv1Yuf4O9Oe7d8ky84VZlD3yQLNUkCVHeMgZKionkXTEtAmnA3EkASxOG0RCBToe4s6iYeqcI1ymELdqmJdKy1mMvK+dJIX97J273xnXxi/pfQ8L+za5sALts0LhjCHgKslaW7PdDD0wqcSH522lXXvhbiIaezJzJb7r7ut2tNWidPloItPnlhDQKmYu3a4a1KsKyTUdM/uwqt/+lvcakk4/MlcFpiaCRclnTvlHivzPU+Qx41+UscziqxaGR7Gw/T4Dx60R4AclVUrTtQEd0fBpZ2ZzSPgskqlDbmZZuArnIeB2jOP3+WG5+kEaJGU+LGUdmvuzycw6DYhAR8CuK0P+A7hcmwbhoqIpJ1GrK+5faWjvymEWKeOIIimpZTil92AW9ijS33WgfI4Suw7J+3tdRUwu5wiF50F9p8wGLJ0sEsFe6PWBo69NEyDARP/EYzwd7esKfGk9vP6YWWgD6JPyHPMNG7ZIukBaBhVTPp2wfX1x4IAmP6bo3/k8rGcCuhTLM9W3NDT91iRquoQCj/MJuzrAL4D77m/p0DrYMdqVk8qGTLmSqnHaRz3MK/Ct7zROVuDEwNfVJCOyV32is45MgKH/+lOoRiEfWuMFz0yNk3KAq4jJIcybRJTs1ArxhsL1sMKHem0xvtxvB0c/YG0HWL7s6OAUdH9OevKTx8gGLAgVBx4GPDUffWA3/vu9UNNLry5C70RVoQTORMwLARy24Rg0kt6A5r6lzPgBLMC7zSy2cPn/dQzKMlNjbdmvUsw3Ehq92D6rVeGKkxJywvsuO8r5BNxoavPeMIHUO8c6ODP8OMcyO0WqKnUy5Fy+Uut+y03tOCM/spDTwWo2zQAaq1dcjVyng96UGlYhUKsINyY3vXJEDvBd3vwwr4Ff5Q75IBBzmZnX6nhO7rTAtlVyiu4e7/4+MkuVxgevGlDWjFqTgOe10VYQRUz3VmYlexqotARcq2PTZ7fQCnA0G33rHOn3XbbF9NemLuQqNXIbmoQq0lgi4yPThmcK35UCLvSlIwPfygsscGfO44mHRfo/HWNqWfVHM/IlZXjmGi1Mt31qbf67V7f9d83Sqw7wCjozJtG2JaLljfB4FSUD8Ae7ceTvjGUqphHH+kRMrRZwmIOzrWqk2qPDDM94/Vf30HrACXzgoKBrErfpW8B6Drn8X63+gNdyo7T/wSk6Mc5/PaeV/uvirnTPwG+qmJiZoLAe5j7RzANT/bmA94jZo+5tM9/JzM7sD/aUNqxdz4Nc6v7psbEFXJh8o4Hfe5naKJJsC9zJS6sC/QCvA5ye7oL6kem1Yvl2OocIGy+n3JkZ4a2poWGUJmY+HWAOvylH+5BPV8aIqX9NIFLsjPEE9POn6Vl862Wi917OliqzcJI7qhK0JfnYAGea3YpjngJWsfDunPuF1THs3wGTam0/8Fh6aewzAlhIGXebwX6qoa3IAPiz+jnsb48zGziGfsch4FH4zOxkh5G/AM8Ejni1RORNJNSR4M2GDmjDRrMx5lkVfkTDpKg1DswMF+BVLWGJmRnlwnvGgMdh7bYH4NWaBW1xfP0xntfvuhQvXc2s+i1XgBOZM/0cHNkJsV2a7usBOTsCXXfN9ASaanIaq42P7hSVa/+oWPY4uio0NYPSRmaOhzD3jIA9BbEacw/JqpE7ov9Xt/z4z1f4fY65X7MCNNiwzfKh3afxXwvwXVbAA0Ane8Drr9Kd7ieQAGmhvqt+v+IYUXOmD/k6zJkEjoSLKkwtIrYyd4DjOM9/vqmgB17U8a7U2u6lbjblwLO0+AKNhIiI/RO2tCA9P6YhB/5FJjmGK3N5JYf94xyanIE25o6cOfbz6Gw/6xhf4XndRA75b1C7c9+/zw8D0JiIoKRvOJmlfYUdg3MebezMsVk2tMYH/UkdNLJVfjTs+jhY21MdasC2Rdf9PEMOEKU294vJqyyAn8dfj0prpx6v8HlbV9ry3cex0mjaKRdDfPIyt6euGRaskHwSjddamxplzKqVZ82KjefoWvZ8c3ClAzpaQ3z/eqWb+UQchcvvvYRYMC6SA+z1yynSVwb4+n4vEUj7N2+vXy/iTEhZodGZZp7hD3HwiIF/kpCvze7PStzrC16f/9aww1qrkVjn4bngoaUiXO6p0Jca8gxgKDxvRSj7etE4e8dGirl/UTHBR1eCbgccEc1yihZPRslH5po7ReWV1vzNQDewvn9BnAC/0jeuk1TEkvMx3bAYmb2fimLyqfbXE4K9EQAnhT9fdvL9vBJuZrHqBDB4/uR9ZgEOTanmPr/MR8BLUnGUEtv0npl6Cd85wbfiYejgyCOMIZnT5M444MRlW4Ge7uWAHAWcDXDIh73Dc/6vrnIPn/kobT6BdjjWjgpynQSsl5xY+pUDL8g79JFTlech7F9EQO+RsjJ5ivEuFcspE4ufC4iVPknYmL5YByTNklwUpkedfFfRm0fNF+D/KOvlDtbmyZg5t4NXKyaXa/wtA/hsgYR8PIfwnT0caC7dJD6sCeCd8Zn6MnOVvKwL7RPVQgR7+B1Om8sf04dilWzGpYMu//TXCFHv4u/KUR4xvqWx7hrr1/NZiwj4sls+ICZvNfp6NBrfT2L6OIXbDofW6xRPFu4nkf1/9QHN81RMlZm11USpBVj97hm55BGkyNVHXGh0tO425LSrGLDDAvyo4vTBCnNPZbyd9ax6ZPwadaa/bBrq+yksLY7kq7ImRpyrw+P+wQflqQ5jyZNIxPBcIv3mNgfIRZz0GhBof6M9Mz1K1PTN06AdmkBeSme5Hdz0CXohFP3yQyNigU79hDySlExKoy2Uq4jx84T3lLBuN2nryfg9YYTKamRvnfLTWM8FtCXwi8Ri3H+de683cyhA29+yrl1Vf78JpIFVTx2F5w26yTpa+Ip5C/lzCjNnCUARO1KoW8q/FsChobKnCYfbDJDXhl3x1imiQbpo2N2BiDD2zgUfFg1a+IX75E414edCwbrxA2atXQf+/FuzFwNGu+xWj8xtBHo1lNhsmHMi7EMlEqmARzTAEKmV2Qz9feeol+oX7xT7Aw8kY64vMtf/lMMyp2z5VMNiH9d0YzCAdnzGg3rnleV/ecXHq3JOFPab6ekTepUD5Cbevk6UpGSYNqkzvetS7tycCheS1PA+gP1PponxFgW9vLewC3qW2SYXlthalnPg+3yQN8l9uywg/4TSgT2UAaf5xOxpQZ7dYbYsGVX7s1DHzJ1eokNvHxifrDiV65dbx35m5jDTgb3o6Ps56C/IT3vgcXvKmxcV6AT7KoJ8L0H3t42lQJ/4wJfwkQk1Ec2PxAVJ3CMEfLGUXPugnUIe/7tP+cABslXfXqsAklXkvSrn/mKWfFRFkgIf+yEr31c22gEPZNKZj+cCOADFPbfbPbO2l5OYjT+tVcXqAVxiyYG3NIW+knyOKLx1ZSf+m4vy158nYB5giqKU+09GdZQLZRGgQY1t+vPUg7ApUpECfaxvdch51i+kDk1tPrqSiPwAlu9OEd4Dnyo4n6I0bpba5SPk01NaXN/1h5/AZSvMvITYv70ZtIlMH4zsD2tj5t0L0/9yHsrHwS1fMpo351B+nvX0gGdIWQQRzRYfMxWU3DfxkmNzrwI84RyAyrf9jIX63VMMmoaXR6d98XhiwDU/4BldSqH4/5tzavFnA3xggj1fAE8EDuAfKMIX0K3rr4+Y1j+gKabDa96AdhXAqqoSch7o26R2/9UDLKnT9plOjfebUwkkVLi3aw34W0yB6XnIYwJ6PvNyG2KOtvdq/LrhYirhOVxFB9jW8wt32LOOwxvoNaSGqeARds4R/64oxsxV79zrYhtteIjWCoUupwo4r7xyBzAE8kAVkQ/pEs7cq3W0+bERy48SGwfbPE/X8NW4+6fRDgfXj6mQs5mTBfutz41XaEyeLHq+0vDrzeePoAuGpiA74FA2d8tnObZDzSRI7vaDo+kEGpPWkZS58MKmYM9TmHzUlOciWl5mXgBo5ZIG6AM07cqt5YNS9ali9MJrtjE+9iRQ7/MojwqVGB8epa8PCWyJuxPo4G1RRVtKgMfxuHxxSqoqWvzSUrsK9B9xUFyPfy0zL17RNs156ZyC/ebEJ3Ou+sBOK9IQPX59rZ3lfabXsXEy3jY9zmcTCxvQ+6YvYMUrt8vB/szj/TO3sgeOFTnRzJNIlnwlt+y/mTOZqUsCbP04uG1c2vqHDlMqe1mcC/nZxLov6b95o7D/NxCjSlfUB37O0Smyb9KVFfBhwA74TszMn02umMlVDKZfn4+AoaATdFBb2aLi6VHbbUHCqwsx/ziz33npPtGIc4qnEnDkfZYCWjkGLHpSMQeVmAU8vwexEMnd0OYdQcbbuGZa5kWSA46O3JbHsiefjbUNicXbRszyHF4d0IRe5eCeRklEOyLTTtongb+bgf3joqWNEXCsggvkKZsw2ntduSLcGO9g6oOMSb5VoRiN25CHtgfPelf2cq3tJBNskvATpJaSlalPhbXLNKfAbRbeAy+N9NH4XrzvHWo0eUy0fr2avfAXMMYOK8drmY0KBtw0t7ZTqacjt3DbRMuHDIl92s1HXOwdanpuXAWRFW5SbQx2epO3ncZBn8rV8XHVFzNj8l2/Ye5qD6/tR4qyxynwIY94jAV/H7zDa1O0E4b0h13IdcOMScFneJ421wzirr2egfsc3QS4eULy1xanlz8PyKcPwNqLcqdHSiHGmXzHxm+M/k8T/dAOt5lDxnNsPODN3AbcCdDEctAeCZ+QrzSD73jHa3ISl+0+E1yo3XwBHFgk7Al4ViHV7VP2mwcZsiWlXyuor7eutM+mTrfDmXJlV7Gvte6lm9q4VTRzxXDfiN6jB4vfje8u03xo4mlUg9yfe9mmzt144FJzx8mL9gKY++Dx3qWuylLhCQGvXbHkrc1L0Nphpc3cqj9OE/DUzFE5IZ2x4uph7d8a4KDGvweHC+gbYuUB8IQxs0goqYwxaJa/S+P+XQVrKR+1hTu5AY3p5mI7ZWvbVoK/a3vgz/JNLZ6vxkmeMobfDZNNh+WQsWkWCM3YkY8zl04ayts5kJ05j+RMnSBXPhr2tE+B9kBl53m/3M+UuAxlxoNBnIVdvmfzvXPvWSen316FwT6cBa7o5Q7Ph3/AelRq/NqIUB1NXYYYkgNwVFNHAvwJtBciE4X8Q4fwZfr5QHuezJ12sxLTE1md++eLRcwFHvjmG6bOZ6BIfZTaH2uNLgRdH7nhOfbEIZ4A+7ZVuvabo+V9g+bzRM+/mZk3KmybRtgWZi4Ob4+/vRHc3IFnm7OQF2V8ppxsPcXJ5z+tF5fWuf/jqHAJxahT0Ck9FvNDFSHoQF2kgfxWxisP8A+HzGIis/nq7yU1/ZfWizGSl2I2swo6yfS30uXrFM0RsxJKtKK5+OcroivU0soNQbH7h4qTZ1ZMSSWUzzr8qq3EB/21GK/GFOhRzRNBbRJDzH0oKzMzap6m14QjtMvz+Tsf+Yl05AnxbjWOdpphemZs+z5nu2A36cUoLdhbtypGlPebF+wnyawWOH5pVVp9graKmSufOcKYhEl7CpDPRyWV299gT3w34VJyh9yINbe0k54I0bcK5TVjKmHhvzmqAQn85+8dwmWG2GKgyad9ydqXQsTnYXspC9LllvdIQd+Wa+8pCx+5rTMFmAHf58HZtqMr1hRiRvZ/NqWjT/mauKeCH7gLnE/Ybw2ra9pv8sDMHJCH88hDBtgIeWGQVvJxEqqtC3RsKB9Y4Bu/5DBF/pwWOhdmhuT/7o/Nmd7BVojZvCXudATtEpo8kvP9C3jPm2P7BxdZOeyHnCcW4GFOCzlDrqGEpY/SSiRoXA/2PhPjhIHdpDVXUUr9DXP0d7byT9P7lFvth+zxhrrG+3l2cq0GNWbAzfhQvrZvn/YwdUGHdomdumzBDANibPcnTrySQn4p5EEUeGAuj3NEPgy/VgVJiJkVF4FWK5K16Yy3euvSAfId90fglbbsv1xp5o1EU4sL9j4jGs7d3viQMsi5+5ynz8omB/i/T6kxcPr2kWu8w50POT+Zs5VZdbhdDuasSKC7CNslRTiSPXfomAjeey/gHDwt/BPE9Sa1UZnG5M3ZBg6xCsxzw4b2U4q7ZWYgZbR/go5mNSMW5IZcBOECer7E/f0le2ul1tIp2/jltIxG1lMZ/wozC9idjDfmDfjtqcm3Dn7Ng+k5fseGEqCvbSVqByWgg568V7G5p61XqSunDUAnDUaDAI/NQGciwOwM99vgaP/vXG5EptcqNHNvsJlTCDqv5HpXF+kDuB1wNu68zw+PTrlC/iwAJxwB3FFGXgX5KIb3XevRf4rBzH1jT9DG5uzaoho/eb5lKdVDjhBRq96cQg+4XHsrnQ1oqoSd87uTDb/nw8/zcH/7zpk6guXE7ILpBNa8TSA/M3mZ17Kf9nI3f1ch8ZnwKA+Xi6DJSKhKsx4F+aiSstc+6DDjqYcog4hcCa75fkMK0K8FW1NGPpoQvfUXPsfoUtG9i02fhwtslf3O5rsx7QtYywfo/wm0+kftzIJbiGdmhjJtNfA/fe7UowSOL+1+I4KEluKPRZzE/PfKGQnLEU149Z9vvnFwvhbSzwno7ry0vlwSy5KaOYcD4DmzHylvD6nxlrFxUhnPLDb5ppdX2jigve3nYrkBbzrmY+tzd2+l/XYDLNYhAnLpYJseefxeQ6xTV1FuN5ALIZ5/qnHa1THsNUvRJkh4WYQ3FXw9zpf7U0TZhg/2mg72hwrVzH+9MvWLd6UNz21V9hSqIbFyPhnv5iXnmX3W/2pF/pdj2g8q9B40u/EQ/FGg22ToFemoI+BqWWXLWFrtmtuAUDEmopdH5ixBHQLmGCeKQm9g75ozUFGuyd7U+ZJCxxVVVl28dcrdpi7WZ0HmPO431eu+1CvPMwEqAvJgBnonK9or6C/QJ5Njessrlt54qAA/yKCGLzsTZuJPtgHO5ssw6SDHISyIDThuywElefRvJteadxx2AJAZxy64nmYa8k4NNgIs81UxwX6bZjbuH+dRfVSupmrcL8qGvYfQs3LMbPQkAoyOcot39bCM+LL1CTK80IY4I9Y5mt95foLXvdb6r13y0FVu8+KjvKogYZALtHRbK4PnxcYEHxzYp27/qgX+SCPNa1v56ZDeqlGfQNOWoHNyyGN31uuPNNAnU88GMUOx+NcrjXmcuuf8d6bfQwztjUJcnZkiZzElB9vH5/6/+WmEJaHplyZW4pWufzzHmMG630Bni7KQXOrW3GGb/i7DhY5Ck0Dk8yUt/nkfEcBE51TIDNYxZE54O4fq/+Yc/l/OAZyfMDU9CV9PUxcm/rvfehyd7f64Jt+lmW85pmadr+fL9mbmwp/i61p34cKHf95Hm1Pwd2WO8TecEgy4qjhmfLdNxXhdYa+QI/D9E+AC5PPEzOs82n9hx7dz46a3k5kFKeC9GIK9pjbSwodckJCYuUA9mbnlGZ+dt05ZIX99NzaBPXp/qS6ZpbO8cuPTMIRPWWCCrRn2QTKkQ7sDnDuCBvlQVKES8Irb6EW1isvBu+GQ/wC2xExsUcYnEExmRhp7yQC9uc0+D/AgkeIHR0JukFdZtIFA4TNFPCDR5oajJeGgqyQnH1jLshTTEefwXaONRa22F2FyUTvg9aaXOAAM0I1LaTLXcfpScfJj+m3ferkxM1972LPFHrS098ks73LugSub/hcXB1VAksYxPcvtzfSHAee8isieSIfyVJjzZWxXA6KQK06phV+U6YC4X3bJNKlC7cG+e++vHPgfkzwJKkujym0Ppwj+bf3xgNOj46pmcZlLiDc36yFjDDqrHDUQZ7viy0yqy5ZUdhICL3vk1sxOEclZ53+fA3xNxdVJ0fRTW893bDgCZU7tsGczwl4IdF4NGvhPuQGe7p5gnwIHtHEI3B3i/2hnoNMw/+2RpPoTdxAhY/JKTe0WxPLB+lrosOVphA+gIzZmXpDpTX7n3joKzaxASpwvSwahpwqQMdHeO9gtPdG2qlbi5MDNGZtX+EYUYu0B/PZKzflr4SNCdU+t7cg05NnhaudCQh7qb4rNDOJ7Ptrley+H5w69+O7PQwkJfErZv3MnorvHrCnFBSorG1PmWPA5IAtyP1ODtk+MYNXB9x37pc63ByySFDTOA/hu0bxmBjyD5xaw+TB5HZ15/9YOaQj4IHiAYY+VlIEm9DdYbM0dkM3NHRjEOB6TKI3kdymS/SlGz3pkN1gjUnawisJb2dpqaRHjz7w5WJ4ALCxAF3UimrrSsd9az2v6rbmrnhstzTn2qQYNDJrmB7PkJy/K9ehM8J7Iosz7PiFeUCo/zpHc10bpannnPV9ExwvjEV2P7Qvi7CfX6UbutonoJCbdv7tszUMS19pPAeetWusqZwvkLPU4wR7Ju1aTsC15x39wYfrAIc+EM2hD5JyFd0wtoCrF18bsh2ogjPUQGyPWnP72LuzTX1fbf17ceamVR+E1sJs9ITbcBvZGrckGc379rT3uscVX1QGPN3NjexJtrdT45xt/Il0uJ8F/4M9b6Qpq2tTqjX8t+DzBb6wZLVbwf7OrICYF5LyVQXycte+chFelA5pBu32XFFmgT1/NEEIsm9+T/jyYKq/kQ1CZAXcCXtUejUdONph+39JLO3+pI5Li3ZxWsZmrqN/c5teLCmJ8gbXPTf0Z5H0BelrDPx/A+0LA5Ydg3qd0iK3sfmnMWRtVwvhMimFhQvv2ud/KNNyCPkvtPNaFDO0O+FiaU0kzS8m3XuZiC3nvy4adbLQH5I7eBk6bq7H9Tm1tfP1I9tr+8MK/EKtfMsNRkd7krq4qMWmi8ZF1EnJU/6B6QqLQQlDs4sJ/Zjp9At9+98LMjPK1tnXPRvmUKBmqSMXpWm5OUVs2jpkZJe8SNHLVITMfc18X3GqG5+3oJt9ykLCqf9ay6x/cMfNK9LOCvKyG0GsESeuQ7HGQvGs4Y3jqL8DwhFlA/gJ1Oo/+wtwM9OKXOd/cH9wEuEeSlQXEidb66BhP74lw6/kQXLuniHcHexpTgwPR1QZOynM2Byzq18xV0TlQb18RnFqzJYpsBay4E8fMbUR2szaumUMBOuSD9gvFcfaqdRvwEZkZd4MMN0avj5kmcW7m3YZTemawmk6rSwtyIOwbtvLW+F7zEb/PUkrgKpZyyXwePHPvZjXWklUDPxnfNNBXN7b6uOGqoH3/UuP0fe7nT9lv13otn2r0XwSlDyGm4jwsJ8jLXhPJHxYkV8qyB0a+bobpX30v7+cQ8PSHGI/7Vfp5l3k0wnPOvB8RSqtk/KOJMwe4bpyDzob4Bs7Vr6AlzYxGj9DkBNrU5QEC7GOgruQP1caf6I9d8ykuV/z5vrsB/dc2VF+4LecUchHo9lCuJDP99CfesvTXu4c4ZYf6Wk+Qj6TOgfMDLztCHD5gjx8g7tOjZeOya6eql3Mzkn3dQ3ZwYO/b6I3LPu0ROcf+RDt0B73/agrZm87j1JWmr5LC/o3ZMFfpbuucA/7D478Lc+xTpXu3CVIXU+C44TIBx7pJ/dc5xTomAWjHcdpgiAO88ndv+yCC1MMj/26ov+SRuX9qXjJU14ZNLeR1ZO6rCUduxtDxtz8+at1mLV+yuG7K/gtiX+FMgBZz7q+Dpfsj/Ehh55xpWomvW+b+fXOb5NxPnfHibjoen5DeQUTD59o7lPvfVZ8UmR0+0hXJ2i1fLNYz8Pzb0crs0vI2VZe4QCv2Jc2WPGwpYEheUbSp18wCzfdbHyWR/9YOm6Z/3rBlPUDbH0yOOokQcpqGXK1OeJSa6r2dj0DPCz+kr/lQRaTHTnbDCPgT8GAZLnm9+j1oWshh06egKgedHihnXutofoCO/edza85ASiqTZsUnNshW2X58cP2hGu4PFWVP6mhYN8DkFZ0yFnrSzH0ep2MqmG3mtdb9/ZW7PjsP9lBTAuwOLWq3fUBO1yycX9Sy3ndtZurz94ljrxq8RNr8hC15a1bVNu7k4WjqueClqY1gunSE+Fqb6AoYJk+gYx0+eD9MyA/guDHw/7WyfZpqM2tCQVx8gSbcdjJ49zvMexYZ3x/jYStLvKrriesNG7E8x9qpObZYPpfpID9VhC3ck+yM0Cu3p4z2xEuFyjJrY1eur9mAnzgGLtvPFHTAqzLeP1pB7mr/eaZh4GE5aEkyJC1jrTzR1K2jluFY+QcLV7SYxDkOHdAclumTZTb2TjG852A/T9H+eXCnE+TmBfiDRYG7UIR+fS+Ax3znTv+LWf97L2a820pm5pYmv7Vs3PWtUkvBUGYd1uRyyo2HW2gpRghoo/b3HM4hCx5Iq7oSYl6KNCaQDycPYu4HsKiFXHE6D5hIG5mzinf9RpqN/jc2M8RChE5h4jNj/uRiM5TSOo/cAj6q60ATUMwZBt5xdJktYX8BVy9OArhj1ALXzTaSosvvPbmdwZ5obxL9XUHnvVTB/+kUbHlMrW1GIg6cU0ap3d7OwANLtr2cw0WDnhKNwCKN7ptSeJmg6FOMEzlHzzWN7LgWpt8d9aSHPDAYz2xSsOhpvOVwZpEZC/TmNoC1rayQ7rmLW9OfTSw7LTkndDd7Cr7OKUgQNTzJ7i0MawqMOcfmmTpfDx611/Nuuxxt/+c8cEdqDTkRewcHclpBCmyDThLP93vJc/HXSnlyz7v+JkYdK9E+U5G0VaAAD/44EG+wL7cJ6J/vs9jeU9rfDrZBZHYDHB7Okb0egIcfV7I7vubyhHpLxL0Fa/7N8+2pKf55mLyAnBTnUS4sQIhG1xuHvXTKt9fUmb6pwx6paNbaur84az3aJfvSRfSsgatCPiRRtmHx1VLor3M244p67ME+bnmnE47kXBXAB3fb993oN1tRStmyoSL5AfzYZZ2+0JEPjVay4r4lUX8D7SZwweMzShfg61kalU9QKGsTJFntyMX4c6Yxcg4WKg4ORCHS86lIZNqpsrbm94wn58SwL8KpAI7mcT3dToH+FIEqgad12GoLwDNzO7SpOXDNjhx4QSCvqqEC/YQtG3h5+cqsrZ8jENrFl1MLfTAeKzkiu2Y13jLvs6+5k7B0dSA/YG+FlOqFj8CiRv467eYSuDtwGbTS6HkDjnMCXLucCy6Yi39SR+Z1BBylUHMKsV+OoWt6Y+DPuTjCGA/4M7PQtXb4W6cs0sxKG+RievzgtRzFQqsCLlUC3pv6b8BzCutzBGx+lb3d4gvopWHGRwuFjCPnFCkftD4+C7s7x9dFxT4D/gSfz35ia5vjQr77fJ0UYikvNK767Q+LbHMO3ivQfpBnTN1EUoXNYuaT1c5vTAK2AuaMCeTWdBXsj3tisy2ixE4FGqhWMx/0q47Jgayt16yclSu//8OUorxVhV8xiOkT5SOnbZIWU5zbiTwLzTloQIiRkwTd0ejWE7Rfy8v2ANz02tiZl7ElkxfAlX6LgEPOsN8Yi9pXPuwBT+woL+TbOwJ0p/1J+raQsfopeeoJ5B9FT47N2Nqy87Ns/QIcNV63SXfuyk1tWc9TQS65Je80nO5HJ+ES9D7wwFZFiWxsU29CsjzGdg1YfWLbdz6MK8i32CI/adAeKZt0FetK9uGtBn3doGRjclYdS+AP8y2lKFYU0JX7RgsuaaGNp9i90RxXY/Ipo70tx68F98uzCQEJw71Vdu+5ZjOWVm9VwxKZeWREE+C5rcR9up6ogpw2v1SnJrr7Y2d244oxfbK1By63vzUD0hADTAW6Nc/oPEDetvVFUp01AnBIt+VxbXegnd/nG+gsyCfWfinQlyd1C7mmWYDbXqg5f+mXtizknehy05j80CmnXtGtXFF7cPbGQ6sAbnqrkR+fdtuYOltSrsr0x3RnnlqcpY4I53f9fCWjpBWFHwBHocrUm7qwDsPGhlyRiViv3PF+ZIEX4BFFI1pMaQ/s9mpBfL+Ad2a57UfA2fwM9D3ToOOGfgXdBc9O8soyswjl24fzCTgLeGq5TTw906ItS3O/A6updAu5H3K1kz4pnyIWyMsB9k1u4ahCqITn+V33pZVaX4vxVWwKM9OAmDuLFrCzVajxTC+8maPy1rBVFP63f1x5gf1v7rgs2Mf3BgFrs4Fnh/sltZOuFPICODXmAufAS0Pp2AWLJ9CIwKtdyTIzY0f8AZ4LwRYkLeTgCwsa42n81ssPHHzd4HMUjZYfnMpPwIBnI9C9EhiTqLeA/06NPV3xwIyvxieJ9EPaGmUDKXmHlrLfwt8LV8g/uhkzh+vSFYDToBGDknkfaYHefnosHdKn2s35SUywVxHoFN2ZWReCNVYakKmy+RG4xRVi+pqDdgas4bmV3M8d2rFioo2Dbqy3CWiBexPKPXNJJQLmql52kqXeeWzfMV9WVIL2SZ16SMIS/qbq1fUs8Hq0EsjC3OZj+ykHe4T45zKSjqLts6Zf8N29rnK2MeCof2ZbDrm6Bb6xO9j+/mCqiF5/HBK3jjFVe2siyXlravlgXy4HB42Vs380Bf/Mre2D9wj4osoOdhtlg6dzuze9Gp/cnJ9G2AZ9fakjb0MQoLQIX7VLPlLYp0cb9jvw8pptPZlv3/0OEY19FwuOm7VdFcS64tfnKeY5cEZmzs7zVb3wAPpjbSfZoSfkQng+/KVe8w8f/YzGfKmdxNTY35W4Ar9SXjPqte5Sj8fGW0u979oWvO5NbD4Oa/sE3tUdHPKZ6yTNL1vQR3LTjMgmWu7YCpyZNzfYax+SsRvkl2+s1St11ZyBBpUuofA9DsCRjjJiDwz5nw3ekSH81npriiatWPKZWqYuR5s+bs0v8zVlwJH6ljZucjtFW1TFqlDat47OcgWO+cpjPUiBUqwxcN2EQKzfuEUSwXQlIj1CnH1jcz8Rku5fHZFFPpuVWWrcb/JO/ZwCXAmhQEzhHzOHlmntm5kqWYF3gLdJajeAoaRkxmNilCtgpyUiEmarSkBvHiqRLtSd7OoyD3XA2f8zM6g1syx5kfQKeB12OE3hufLLfTX+Or/+yGgy52xDSUG76V9PjDtBCWgQ9KlgDdmwlcSSu6NTuhBbMy5w+Xv+xZvNGXidGqePdxwqB3S4Jqim4c3cfSkr3FQ9Mt9ld2JLoFyc/npKQjxWg70R8FoQ+x/wHSvYfx1nU9kMy4fxGGPO/amE9QQa8Z8fhCagMf33ne+Jmxl1PcR4SOb68ucB369tbAX/nYyl1d65ULc6tJ9513qQ4zYnk2NWwNHCv8pCzxDzHuCB5oU2PdgmF5CDk+yBg3zAmuasYO+zyh/QZpYcvE0af9lkbIOmw9+VnqKma63GBl4Wh/bB5hfAJtinOMpeM27gGWHEbeL+tYCTMGpm7VkScH+7MXUx58jcMfBMCrJP1381gQ6swzN9bTUfe4ij2ZFUhnksJwHrWo5+z2J0lQJUL8cLX33jBTjBfhR1nLTnArfEWQxWwO/vS4OmgvfMqXVqKQ7MDDhYw+V7ljpthGRn9LUA1/wWMayeZaOjxVPA17he+/VcQDw4m1vp4AuJE+MfDTr66aQMJayTVj1KTgufp317AB2Zm7PX0vmzUtBRoHl/faP/916cOUl2ikHj9JZDNT82vDVzAYemY6uZXQJ/12lQ+mhiDTmWr2nMT6prO9Cs8twlYYo0r8X+Vq/p49xv1hNPzR2YBh7+MP3bMu7f5/P8YFykHeQQyKHpbhueRVJKtL+VXH7Uq84yJ7HxSDRds//D3rs1N6psW4O/Zj/2CS7Cx3q0zE1IJCbJC+QbkHxGkCAsyRLi1/dMVclVa++Oju6O6H7oOCtWhS0sCUhmjjlG5rxYTe5ZMbAi1guDWd4VOHsB8w/s5LggW6cLvd5kv7IZX+8AcxdpR3d4/zOe7ZSFMix7dC8G5tRuO8TWCriP4sBPv8uOeSmJjqhX95JsULpES+bGszTYWA4++I0oqFQb8bGGez8Cx24XzHpHgB9g9tHCpABM3zy5aCr8FjircYPx5aAVbNAMK8A1C/AMNcNlAC4c1D3SsSjnSuce8ug9g/eBz8EwB8fUxIHmxICNDg28W9pJXoaizTgzagslhcV+erZyVpil6i2yiEXXVW3GzQvi6xddS1nHvCacWQWJdL0PowoRrxb5Bb5yJqN/jztVAI+DMcGxyEUhO2/JAAbAt7ql7zk18VtQv0/b+CiHNdM10pDuzeLjL+aybUpNDzCY0kUAfmAbfFnchOxdgE4T3gS6GOZpt0lS07ekQmfigp8OdG9C9QG68V4Or3fSCQW8Ykb2z3qUyfNI5+4+8CajoiiG1qYcncH3nx5rEHx9KZfoJoftDLr0gA66XpSuNwJcy5cHYBUrZsJzMiKD6liRAHiZv12yJZqFjgvpn7GOl3yva8l0TPe2T6vBcRvuWJWVmvtF74XiQ0Kili7YFnlk0s67Z8G8kq7f1t3mmtL2G9Op3cF9IxVda4K/ynD6pqw9A191ShhnwPAnn+8ZAZ/aScaoE6fZ+gP88BdwdXNv16fYi1ect7To0VFaNeCKKIteXjPgqQ0XnAQYSwq+fBQrvGzakkWsGWQZE0Awjlg8fILvuDyf12pv69wONjfZhVRg8U2HQJdsTZJr3/imYwlv8P6l6HCp84oS7mBO5KV20RZs9avxBKI8viLSpsSSWbzofD7NdlmHl63B3c0zh86S5nHWx4SFg5i1dwl8OgteT/XIDuC7FtAFCzG0MlcqY+xGgvn+0Jzm5h2xNkmHtcHCDeisTVj3uBVdYWVW6jDdc4Ngxtyoe86vguKWgaaEa36JR1GiccOq90sO/Bd0Yn/SOakxSVfIiAqm1KE+rM9omIbEa2/UZv7OnrzCjFZVGM/VoNeMZhqTwhTu203m4iZ9/Kxze6/hOAI8wu4bzEVnyGx6w50fNDCeIvDzOP/l0+vh4gj/DfT0HJQE6xoCd+C2gFl+mQEeJ0zc6/fLviG+FYMOrfPekiFmcdc++fwU277HdGx9Dtw4ADsPxK6BeVARuUGsmEvSFsSItoJNUwyYJBQLhXexq0DtmR+D/5QuC9AVfF9AAf92wCkAq444n3bAwXQPwicX5bUbGXC+ngXxsrtfEvCbCPhrkS0srRg6x+/gdyxx0zYC3Awe2ZTXQQv4ztLYwLHkomgGA+ZDfQUN3VMCWo4AboaTX3oRF/fzsya8KYfiVvRnMwmQz10cgz5vsVLdzvYL7pkHnesYg6+JgfHsbQ/wdvZAW7ygccpwDic0VSGGm6NzSvaLfxa9Uyae+NpbbQ86JAac3jxxngxyL4Z5z8nmQ3p0xn2xgF2QhEc8A06DWQuIpvfN2pJ3b06i6xJZ0bHxfdBAzESDfyAd8HJQiuD3LnXIDuCbYvDZtwLmNNjqcx+2JGZs1YBh6HCxmPu5SlzQvo8qH5GusXqRpgrTEVPAvxKPuK3yyKkIM/WeB/ER+Ogo13uXgGekNNG1GC6RrikAduJT+rkiHnvGikyJ/3mSgZ/tjbZElqOEK6w6mPe139rIRLlwQcubLIkXaTRKxyS3S2GBFvQuFDD/I85RRwbzHQ3sXAEzlWGLSR/dmDrqeDUk/KeGvYBNw5zNN2YxzEzCd2iOVvKLj8Opi42VVRF1i4MYlKP40jnOSRhbhSmLBDRcZrEZmfi7oVNXjkcT/BzMNTQKV83Ya7/jjpVI4Wes47ny5LE0W4P1vcE71WamjBAwTBnMWezLnnZvZjMilBDwAwRNAmyxdtkY9+sb+ERKXPYuSUTKwzptgBAwSw7AWRGjJtd1V2GePNcBLqA7WBOYPfc3ZjxOcbHgVPczj4k4V4HAdCwcsWABNmiUPjYTKh3pwcxykV8GqV2p2gR+9y1UYRX8EhWK3sDXO1XYGsJrD9SSz/WNGJ5/UdqpBRwnbnwxCxV5TffIK9vvgB8Xqg1j4ufcl2VpyFPmIYv3Tg/6UFdk/FVv2ThfC51j47FtHfpFo6Tg3pRUQb3E3s9+5QD65cAMBP5u4yO33QJOhClDmFoqz0aJU+OSMYr2tL/seL4BDGsd8ONfiHtX4UU+ppHdjH4BvABjF1/p4L8XVr3w4HKpgAsJSzy1gy1HBMfhGbJ2ie1oTujRxqZ8QcZlEy/pXBCd78b6YvB5Nb6B33VuSXCZyeHssIEdk/d1Cj75owBNmrDNN3b7Kw8BP4KVU3S6j1DxzOO4cV3HfkyXnXUxah6JelE+Hta6LuN+b8oM/O5BBuaKaj3E2q4ezK4M1ioLse7pSksmacOiAjQYIWZEUjNqaxbbdR6pJPfuCWDMD58PRBlnlw9mrfumA8yx8bXWdUQH4J2Ws00twCDLTwqy8StfpWw422iMdW2KjHfte+V/Wsw72zFdHxvP5HTxo8qaD5QBJ+4jr2afz7yAWfrtJguRrkNVlgGb90btxMa8BQ54AK0LWh+98GC7VEosyfsZOJxxAg7/HefC25ngR4K5pQxPbIxuRPP7wIlriy1k1PEP9FTnP/2Xb6mxFjpGuhzZngZ+wnQ3ha64CXoJMvV2I/mkN46/sjxeZbofiOFn1NoCf1Uj5i0WOfNKi2EetGecb7zal197Q2zk+4VnQbTLhtVz/6srD68rmW826bhJS8Kusa1yzCKLcUfX7DYpF1Y10Gs1fM5lD/6YKb9izBeg5+E54sRbr3bGpwFcyiUubnmPX8TAOHBHQgh7afJnPYczYNyGAP9IsHW0GXAVBlKnWOols5zv1FYvpYVQZcygAf0J3S8m3BsCln6Xy+ZOw3YCXbephtoGHZroffvKiFDNMNNLxUKPiSuefllz5VbXkQNuHFcDA716ieF65sJyEhZcAB/nvgLNwTQGkc/HvjjMwY+S4RPYQpsFN5OZUwzczwB/ZReg0wE3+tj2dJ1c3JDND27ouVOp48IHKXSMISX4o863p7356egafTqvM+PHE1VY5/8l9bBWWrdTDzyM3itz8Yp7DoytYFW2zoFfXyvyCXMI7FP3qO/a5172tnlfF8AZLJgfH5VCOwZ+D/zsUnbpiVg++L6I7C3gMIYDPkQAa5yyqjetyq1vnM++sIwZmG1b54/1x2/eRT0CGwSfw1Cu1yPRM/d2W8M9s2EdVo8ak58Wsl7nomMOvOc77VRAVEsEAdwYt06RKwXzWNdGzzMmUTWYbakQrj1zEf1tFsPnCVum7idDalfnAKp7TeunHebivr4C7lwAb+bUbFOxfC5i3Azx4I+Jiybg9rak01APUZbkrEiJIo+99pGN4F8WwLa97gW/M5HBfXxFRnzLumioPayqUL3EIX5y7DTj4EsN9YEX8PUDvRHqK9KfjSw4nnD+thA7PgFmLbXXXkGfXCrjEibEH2tTnJts3dNQkMaN3MyMXAKaSlIT4cWPgSdlgHNLwm/PPV9UKjonrL/v72tAv/WhdgVwCvyIMxUdYDkBLHVjpxrrG3L9nbT8oWS+C9q2ZRYyJehQ0G1Hafo6huRb+BvgHlMmuO4UUlzB7p/7X9c6r7UuvMc+vOa4KBZ1KLJXHWdqCk9cYDbf2ajrvuI2tqcdUQylVPejXl3Be3+xcAJNwwC7Cgur2qlsQUBPmTWbeszX3ww+99wb3es6X6E/skXGxJSq9gQT4dsi7+s0XVqwO91/bJNRnQXtRYALEaHAJQvreM3g2RIb7xN3M1O9fqTXry1nqim4IgW2rVKrGfGznnnKTAm++uLEXHwVNuJFDlqrU/d4iZfKQJudvbntjfMKeE2aWusLHdZgb76qqZM0njKYLVnMVAkYoDsJLalKT9Uw89pHO7i6nlmr5/qGI01msBHNBWM58DIiDHBGRJ1BvyVNF63gPleAgy+ZrgFIqAPIfChIfZPcOwGjWsWMIRrIKTWOqzrHZ7koJzMw3RvFIkORSj49dWXL6PxSZmtL77fGj17NoA+o4GWnawqpsczloQnEvgBfj9mkc1htSpUAe/fSfrJ570+AHVETbrZyYaSymEiAW9bj9II8VSLjZy5fGW+XxI8wCUzQZZ8z2BLYnHeFe1V7y9Sc5QN8/kedXRDjPijG9QD3r+KBeUV24SKYwW9eWNqLL95tvjNv2qFQ3RCfP1JzM1fm5slFU8zUhpLi3pDIY7mY9b4b2PyS2v6usN+upbcC/QY+0cAO+I9kb3pL40cvMU9vD37G0BVs6sB60LCm+KJh5BT3yzeMVct9Jkr77VmnoowH0HLDpPsTv4iw0L3oOeiAm9aGxUj1nux3Heje6GuBGLbwfU0AC/Ywtp1WjMDBLTaArlpqp+As5Trn437pyaKGoov2pXd51nW84l5NpSWm2JpaFEYbQkEnjHqPSfq7pQWuAprIwjE1zC8Efi7TcQzWCmx3XWQ9tbgfW8TQcbnOTQ4Y4TC2UdcDrqY3HQuSkGdO1vlEg95oQjRknqN7kl313pfg8QK+/6McmMVD4VCPXgFTw4y9GdW40RW4Wl0fpsjZLgY9CJjkVQE7Fqq+N+CnY6Nf0IAM6QvQhT/rhxNTb7pf6wdyZZTkykbW5y0+gL8csQe80cwW9Q0kdonp2Yk9do959I1YDdb1eRKPnrOXTg5nK7Ucs+RzEpvqnrA2ov6bwfl2Rp75rJnmJFSFSSA80AsDV9EH6HyCKJ6IHQF+ooEcXhdqowEb87euS8cCUINGDXo5WkqqtQHaCrteAbfk4O/aR4/mASHQeyYZ20z3O35iFPhokwSXFlvttThcVlwBFiz+LHvBszy6yFyBj3UW3e+5Hhgr8ugdsE7bGGho1UpvPuLxaJWjp/uMWuX99YQodWJXJsJutyxon/wQ654Xldrq2jQ8vq/vghoGd1lXWoALtgD7p1fkzbOkCPzBp81sZJRqmqpAAm5ubZh/igTOO/hvxexNn+Vtywdf69lt7dYrNogn9haxpfkKSxjZzrtFPeZnOcwDDcEX2/4LcHxUEzEUludU/kZnS+wBCxCzFKNdMZfh5gSkyawMZZTva4tS8OhMxTG9HONgsnCXPrkNyUwMOvxVx/7eQK8U8bAOdG8PEvr7anBM6suOgX9+5LEHflwY0YkAzjfM72NT5siHuQL6vw4YkS7gRYdz0Ytt3dVW7W4U4Oxzn2jCeRRLXaNp9O5saFWmIpgjbJsQb1WPkmUL0/FAN9YBRiqha4ipR3d0Gl1Tg52RX1/FokTRK72XpgoSbUoqboBZe3ZfP2qb/eE2wCyXaAYc3ev4zjjHqsjbkdlvt8r0M6TaFzHiVfV+6SoWxcxEX6lRGJkbgVq6hHTZdFmn98PUURgyYzwK9T3T90taGuAVmCyfzwt0zRF4dMz7C3BbpXuYWsDFr6ifaeMKXplyBO7Uo1yYtGOG9PyrPKxvGhtiJuIqoCfJU6OmgP8qArtBQW3jiQLFqj30UfTrZ/xGnACfkLTdUlvXt0DAKFlXLCIktAbOOOfFCNylwy8NaVfM8g9JuFk4ZTfut3EMNCbx2FAHJhGjPFRMrIhBV8IDex3mr5i+3gj7qd33DhqL1Sb2QQMfEZNKupFV5cWV5hPItPYbe/KekCgoTd8ius7RGO15pwYC3DjxVcC86YPZ0YUYl4GF2lutGdimIqA/SBitMmP9jE29VNQJM5+dhWJFwiJX2vilyrdGkkelvobEL2wY9y1e4H50H2ES6f2bl5q3YWZjTkFPx97aE5bOn4nvulc3WVBfZ6DXdQ8PFT3X2U6JVhEd68sc9WWAToSfQXshm1CYyUNsaR6TUmfDaaQLd+j+RC8N4HE5gN+0p0thHxcGOpEZzrI31i+/1mXONnPfHMAs4NzoifM2sdVSwT3zQDp7Cx/KEXzuwlbEftO9rZeaTizTeyX0MrPe3FWeibJBjpkHNKAD3hUIVRjnheXge8bYAZ7QVn77UQP3TQd0r7362RN5KV2GYR4aPPCNNMdGTGKjoroHZfRFAaPK7PUG/Ao0OXiaEd9i3duJSJYaDqk7XYNjc6kXbML8DytbDWnH3iXgKfjWa+WxqGLtM848hzG0eUDnmDrvet9bLG2LzP7WhC1ncB2MrhzgtuHOwvumE13doVBa6lsG9R1s9QT2edstwgL/lkjQFzFHe+rNRsHkuQZ9jeBJPP0ycNCiyfsTcOx49/C96g46b0ftTwMdLnd6eIWxR6CP14AVbYTo69y4rN8tmwtX7Y4+YjTad+B+CfB+Dnb3VS3y1nTUQAo54k9dLPBP52t2uHzvrQuhw/RCdK0CfrTS/riqAu+EvPOc8NohYQE+QIQJw15mmaykl1i8X9qCrlaon0bqwnzxt071vr5h41IUw7wpqM/hufz0bS8AY3CPQW9JXZffxrSeeS5b5lId1/rNcjqnowB/SJfMO56A474A10TIx3cdY0Y78Z3oXqOeNJMwugMtM0UQncGPm3rMAMuea5Uq7tq5UvWpclsb9HbC/M+ZjmpPRx3DJEfkI6shPmApC3Vd7pqDnuyFm+QyA5xAdbYGvg960dM1+s0CB5c713tqBN2S3LdAPz1rp59pziYe6H5s9Q24aguoZ1eeYWlOL/nrTY4TITnGwAJmHuK5Jr4en0vlpibvZFHnDFUB+AFfGvvF1z6TMbuwKut4ygJHx0U897L3iHiLDMQMNnhGbm82vN3VwO+bzn/0eoPn/cWW6NjkqcXy1EAuvuu+baB7vmq6/iLmZo91t1yrjYgCP2SwQwPzBdHLUNKVVQ/tc3+5wAMz8RLhLEAtG+Q36EIG958QtjGwh3X/doy9ab/X/Yo7XasaIeA+L1m/BlxMbeptZ+IKpHNBpcdcHvQn4FMnFCiLKXnPhuKpl5cMfD4KWp4wuRKWiQTo88xaf3PSxk2ocOzrPW6kuPtpyCE6lwTHul4M+LQQ97MoXemCrqRN/nnFo59RY7qCbazSDtHSjkjzM4ZnC7jFhxyEKRnzyyBSMpgwDswPCjoFc4ZYEN/i+6WNreOtoOYWm5sTsS6t1kTU8q7EQyXmuKuM9psxNjXBFHAPfZdMxlUvWeJvn3yjq31JEx6lmTlR6l1KPV6ANzuY9xz41Urq/nxBOzRErVKzJbsFMDOYPogRWYWxZmgw2QNPQ3wAHw3+qg2okqyhsqg42yUBfo7hGev6Y9QZuC9WTc6MzGZ3en/Eb4i6/zSaXKwE28C/z3lnFSc5FvbvmM0VMta/1yo/VzyYGD+8XrknZ6x8T9qKEeqD+PWfdXsUAbwGbt7XeZQTO7VFXzhgYyManB4wyiA+OoFOyStffae9j1KmPc2sexh6JQFvR50b8tiCPZ/UYI0p8RngYyA6ATpwfaM8emKUkt46YyPoeKbrx5o0NsBXWjPRsQW4P5/QcLunWtlaRxN3gtXAPJJ8M9eeodd1r2XfXmSo91WKU7XglxLmZUIxIwSjavBBe9BnbvsdNO1BBCzFBj7Etq6Tmlq7+1n3aMr3lkhrHd9BNkUTmHui2K3uRZnSy6HKYxPud6pzbwHfsip659Io/0xtXJAeNC1ff8sutktVP3P2LdD63zB/vx6xy1ab1QHyAGN3iRtf4bm2u8WPK0vXZ/KcYvBzEswIAychwyVIR3qKw02Z9U6Lxgi0fCtSrhbktQUKUicb/KNU/jPOPIiNqC/yaQKOBJiJP6q8jXU1ReDdV8JSS1iOn4KWo/1cCKu1MGhOvTcGeBCAnixRB+eyP+0YOET9fpml2e6Bp5qAdVY1MMDzZ/3esyX0uijtwduxIV2kQX3AAQuBpvSPlWEWqHv0NN8nwLGbQV6oLxbNDShfBw1hjjDrpfJ03r2u0OLZ5ZDakouF2JsO+MYR+z89rM+FDTjXsVl48w2s6h5TXQMBR6UrTjVNlzgUgK8tF9YFJ4G/z0Z1qL0WNKLa8bF3aO/rPLmB+SiOF5Rhe5Mgntpo2VigOFbIe33yjVNCdd5o62PF4poLUoMlYNcXlYEDoranMmg1oz+CFYcoT1eF+tSx3j5ZHjlBq9qO4FmhBDjGIN/XU7H45c6cvtnhPOtr1H2Vnusb4Ku8ZjheU8AtZEml+4MVhtRxmkLSeZJ2ZGLgtLHx6IF43RnpFXhhD6T8XnXSTjyzEIHTx8bZBI4118AzqNredE/reoT56rfPdZsvOtK54DAXeNQ3BLOi2zpyQAu8N4sHXZ/teCO+TAl7syqYO8LwHzkRKfUT5okQg/6vFWhsfmGl2+6a0Nfx+R9ll1o4/7wXhvGcy/eCYYcG2zmDewfGYFQ+Oqd6/7zzLOluDdS3CnhjVgztd01fr80A42PIb51XKZXiONx8yKC4cdVf0TAhwX3w+/KUGv62yWOHgp9/8kO2qFvBo8ve2jq7u7YnnV8wL2WvHLLo/Kyo5WEK55B3mLuneni1EfAoAtqzJpsS5tpdEIkQxwUf0xvoEK90UYEWdYkH3aMGP/n8NrYnW1hRCfcAc/XVEoa5qXvA/QANKDufiF8Djzqf9H474bcVzFmzWoCl9p9XRo1bTKe7XpMAHfguAf/IeLwX+efMFsYz77Yqh+d9XUwyRIMITCvrL7HuFQX68KRrDIkwOlJbMsAcu/ZELM3oHvfRtlb1vWailQR7Te6fC+qQxFMTaMRLM8qhIJuxvF9cnmPBQT8yd/vcN79JgmbwM8CNVkvjOZzkmwXzrVkR/6j3hov7eWZDf8/4msOz6mrVLngRRdqvZ9AMPmjQIbNYAnO3qM3eBFwAHHYutSmwGNoOjfHTV+4w9wPO8AC+skfAkcugXuFQdpUCfR2wA+ojD+y03esqegM7UybeQQ+dU8bcOJA31h8d4P6WAH4We85Zxw+nA+7JyAJirMzYMp+xxB8yVL6OL3jsi9iM7SzDZF30VRp4pWPdG81F+fo9s6cX0ff3dFBxE2DKgPdRi32Xrs5Bx3kNfpnB9dFu82vfwWfge8Qd2d5zLcVMWKt+77OMqNN5veJAe7RrvNksOQL0oyv4OYBWGqiLgM8DN9P1IjmwJh3zDXMNeABwSHDD4YZl5iZOmf+OQjYTf2uRAD/j9GbhI8DT1ooP6xR0+ne8KFV0ej12NnTNAcA43b+RE11D19d9bFUeg84pOL1KA6ec+7ud5dvxECXAiU1EUht4ZaL3EurBN5j9E4sFegO8NQc/PrQXPjhlM8Y23OOtovIcqw3wBZ3bpV5Q7jPQI5tC9xvLzr/Wlm0R8I7F8PmpshQD3jwmgdC9lNwGtBHpmMrc5z7speQKZs7onysFOt7zv4SnNnujjbMwopSDquMm8FS/iBnbxzlz6iUCPOktzbUFv5lcfd4xEyXgbpFp3kQRzJn+Ctx4jA+vDhvb577eLHLP0nHldbDeg9ZtmbnBGY0WAsy7HMH/9vM38tlBDCgko2yBq2zBf58zW12AD+4pAW1JcQf280LtCDc6No07R5RdtjBvDimVz+fFS6X345WRhZtB5P1SUfaChtmvg/6mc3VR/6g39wX+NYC552ZWC3OXOdLFEcrlFTM1laaYwEeTzFTA86TAfH0BSwUNS++8q+1nLDHw75WkclX5k2KDH+s5hX0VgZ1NmqeV9iOH56WwI81PA73XQxTYk0L7EvgU486OA5dhAfDuQOSgv3ROwjulkZ398gfPta8xHTddnH/eil4eK+DMexN9U52rAzhMR9B6YbqwkJ50HXTdl6nxVuC9eice/K9qSO/UU0btxqD7ola6IhG2moHH9jyYnYQXc21Nz1zOiYZba2etDOm1V+DawJveAEfxluk6U7R9xASCbtSx+ifgBVfwa+eUboE30KU6vN7wuLV5KBnplAE8a1t0uu4t4/Vg7hNf+NhAT4zyxOCvdA0IsL2NLt4tDKVjnTaUoPPeflsJvi4BYynY+pIauC9Ui3TPlRqeObb9d9oxFo+qTQCbiM6bGvUeFs6xTS3gUve0R8+1Lx4PhlF64o6948w80HY9+Mhe0XoEr0DrK+DhkbpsSkErNHq9whMdG8w2oedVwdTQ+CjR9W+4K+LEn/TzcdNfMda/fDdDP72r+PuF697NMetXgq7B+1Ndt/GQdoWj14pRD3gS4l01zI5Q4lvmE5YW8PRxushBfqQUEWTHM9j3h+ylwV2Y4eHbTe8FIDO9JdR8rgMAViKe5HTRfZmAT31n3prsbZ/STmHNLeB5sYY84r0dqvfgTGTRIL6ipTakDfx29G66Tnzpo4+6n6bKi+4lnXbZontC3U7Zn9ieXLy/LnvTM8tx2gLP3Agb65rNogAtji22lUrcMz+1Su7oXbmT9PtV3at9ufR6fYDsTfYhdE63L2EsVEsH8Gm2SHHY2vVgnOCannujYGs6n8ws9wbonXw6/uZIG8CBDTKjFuTKABrVAGz90OsXyJ6ceMEOGSZVdVtb7/ck3u0OmN3VY5SycQOKCmsfMOv8bmFEz77Scaww0/yjosWMSEv4gEz+rP0wgEfiqMe+dyODr3RsPieRSYOHL/lI7dbMltrGPvsGe95SAj/NNo+HdcqW6JLA8dJGT+xNEYtCsMoN1/t3HswBwGFh+i+Aw8faYrwYJtCxYqVzWFPyuVAPNDU/zyjwN3BvL9j9vDchXiXe+ovRtd5n2gKj93/bod5reHJRwIropGvF6djhms+6j9MHMCiS9fRa96aDHjXRkRkv7Cxy3a97NUuyCWMlbhVHvLDWF/DLUwx8S+cpSr89g6boY8J0nSxLdH/0186GZ9BFRuz6GD+uJRJZ17YctFwGmo9YrfOYM+xoAnadSIh+P0/xpWMxJYwteMNz09Er6/rT3lS30mRfld1e4wD4XfcTixXtdcywG91Ar8W1+3arbQXzmZ0B74p0BOzpxZX1cw8aEfgjBq5CZ0DuuCEbS+/l6R5kHBRaSn/m74aFoPl+z2dM0TOmoiAwr8DPBeh9DfoOdL6P9D77lzQVr8Kto1cai8MFeNJUkBEmAzitAs5S9p8nmrcvoNnOpD+uGhLpOvdE9xEvAFlA5x3qEDhcvnn2AS91nH3jAn4NLSGGcy+7dvPXNdLGV++/f0cp9x/7WbqmNoybBRz64Qd4sLYyN13qw+tVDOm8B/4KfgY40hxT/qMdrsxsX3SN/9qbWgl3W4zpvDM372XItAY+NRynaHz0mLT1dbLc/6rz+q8xwxtMNuL5mnh+2AzxQsbChn+6xsJzDdYiwJOEkgNo7knXZOG6B7CvFu4yEluM8VAQsG0beBqiBgKcixTlen9W18ZzgCduLcE2YZlPt+R9DXYmdH8op+C+XVh+wd32p3bEz/UBR5DGbxuj6h20wwf2/E3RxRYa/aWg7XujGHAwUST01aZgy+WCzIJeLqCRPsD+pp01p4RsDLq83WXggNbTazw/nO1bBJGuSwFPUzH2Dlpd14gPjk6h5LkePLD53kpz+XNNMJdP+M/zTDOqa6foHEF8BP8Aliquhe6NBDo/NlO9vvST51uwrVkMbMqo41E6j8RvYezwpbbWpxh8vF730Xqy6KIXll3SmuAX3n2agAEXZOu8eu8kO5nSAePC+LkGD7gASf/JNzZZIP1HHn0oXoplk9BHjIlCmev3wFvn2pMZKNtbAtoR5tcCJn+urNcb6LVr3LGvzND7vO0dNDxL8u0NqSmR3NH1dgxEYNKSn/kFtotTnRtT69rK9C971/1/rZ/X78iPdtrGebg1EZsG+A7wQZs9V2KPFAYVcBGIG3as63S7wqAjjrCaNrhXP3ttTQDjyJEVq7avSauK3tH9vLCuvVqDntSxUZndtuR9PcTWzRRMJOXgAWPx/5qHa5N6P3NgxBwVME8p2IuBAWef+w7NqHsItCPwiKsc9fqHULG7URx8Us3XWTz6e3JY6z3qe+wy2gDnrPt4LkY8lzm+gzbS+gjwOj4Bh3j0TNP1YYjLMOc6BhL9p82DjtQ1Fn69Njelrn+Up2BTjleGtZ3krfHwY6o9Ih+esTdPyPZfsuHyUuXRdzNcKOjXhAEUS8PJUhN8uJomCvj747+GWuclisoyVnoPKLNmCs/2Hucwp3q5KsNNL/y/xwvpeLbo9+uRcF2vcP2ejmJoRp3PHJnIxm3lxzpe35BD/+TYugbEuWbouwz9APN2gwMHMKmw0mXTc56eYhPbyGMhyqO5NnW9L3jPqPN4/Ah8RtLAtXD1f3Ytgj3XN4QbO82g68b32tdu03ECTqBjP5TChu7lE92wWS+SqwV0qtB1okDDIEQvPbYmgCvnUPnMrjhW1JOejh3R3Vh1TZX9/bKN2U/PO9Ap/SLzf/ofePar9LedZeDTpSctDrwmCdAjZ1hkl0sV3Bz22I8SjxottStVkq3pbkEf8P695BEvCWNl8FMTXjS9k+u+FoJHPeraXMfqsJGlZZeatV7PAf6la2vvrZteFx0Z2Fb21/PTupP+wbAlJbXOy7nHwaO+Gwa9+LNuQ3rcxQZofM4+CF0t9HC2K2u9JZYKGu4ATl42TegPuq4bsoubtJEltc/Ueq539L4aOKnLmfnyjEBDA2dB2YhT2oltZeB/YNRjzIxPI/sZQ5xTHSN9v4jYc8AXbVegJRbtG4FbB5Ut4Hz1ar/4O927B1iPmRGhqmVrl6HS+QynCjj3I2fAUMCzxU/v4DjwAQde7Tpvo9IEzHWjninUMtDIdPlZv9P/gtJr3//MR7BVe1r2xspOx3oF8yYVj3Uv4K+BQyvrss0W9k2A8zxxI15QL9WGpIeLUVnoo2DTiumeGIxayBWqUdMsFywI+JgmiGfiw7Mg8hG3RHsWyb64MstcYuAPoG3+5g97aW42WhP8GUO0AV1AUwM5e2t9ZrqCLtNxrLonGzIzA38BJ7fK3jMln9pyAf1h+4Dj4lDlCPw53kntq0b/oKtuNr2peyHc9PVlup8Km5766xsBUBe0NuPAwX/5wHeu4xb+wtbKjtpY78fBHCzd4qrVPelbJwlFTKyVjrncFdzMKrU12LJZSV7bwGNvDTy/59oXaPGveHAAzdX2sX//yPOQOcyVoRiAS47buc7RAdvtsQ5w+dfz0zVLXUp/j1suPfB3VhY4LwJwEfu+LQPggN7lmZedaDytPaE5mFmab1fgigMbFY7z6AgYdIrHiFEYc9D/Juq0Nt58gB0M0hdOwdIbaJEv0HCFdKMvZug5kOpcq+vf2PBc70170/19LEo7T9dIGuru09nf16DpNA9kVhyyS+yi72YETCJIydzfJrxeMPF1TZchW6Kz6HpTDMD7srXJOmQgm66Kvl3F5udz78augJPD9740h9c7HjdtwY1r7LcM/+ULkb/x6Y8GRouuv0B44VTAfXT/it19fZDB2gaNskH2m5m4Qux0DGiP74WtnvqrZdT5rnsUVCG6kZC9MCtiMY+S9BGjh08lwz34GE7C9L63wCZ8nFT51BWKOeJv30yEU4OKAL735IAvwAMOoMOez2sn+MoAHZTWYduxXnwzlzrMTq+7Rd3F7zzs7H39XYfbk8YM0Estyz0LEVY2AQuB4x+bLrbjEZTEKMCvgz/L2Yr3LY2J4ISgZ92DF60TCZd/zUGs1/vt369teJ4O9bBTm+kS2z5rgnWXeQ4R3iv4o7dHLU2Y5wZettd6UB7VfHQwAUcjVavopXKf66LnR13DWscZeSaPO9xh2n6DlgJdBUqSRn+ugclNYfzgwjtICTcztycaqhywxMJgw0LH5sMco8b6S+eMSrdwEt4+Y+e2QvN4CjrVqMH/mzM15VcCOk/7GOBx5C8fc9U1F9FC78SbeLagA/GlUYIHaIa/x8VbEUv++OX0Tz4s8LX5pnsWApcCzBHDXveAG6OkGiZH1zKuWWSJUXwUjzpY3gyYeIo5+AJqGjAOZ/DPu2xwCmHLDe78HvjmnQ9mia1Zfz6sgx9+eBHBxSHjNGSutMmf+QezuzekFQ1PXsVcP9H5XiVoIxGYX3r+6TVpmUdE5+fyAA9Nh00Ugp9bootYilMJ2qoAD/yMdSwVGgrQ37V6u2bD8Td/1/HfG4tazrC3/W+weZ1ve+K9zDSv4v/gVb4CfPL/siWdy3vQOTxNjowsnJ66EqFM57a1cWmpR57O3mwvFXnkxO0AsxzhzSbM05aBP8w6zIW5OSTc/Ko74I/0ckvoCuyfznqNRPTrLX3Or9/PKyOfT364+T0fAaeOK2GqJcmBqy/1NXbxy/5+NvaWH/P3tVMSbOElXapxemH+9gbjdmYBdoq8PsnAW6rQLwt7cxY9ncnIPsAvaD+gOfFzfpnV4LzUof8YM+bhdG9PXgIYEOeTiEeG5N/YYG5WFfFuKfuNn1y8k/fXe0Hg2jrg2KEywdeCfvUt2m047n/F1j55FGjVj7qrnYah99KaE+JGGPTzvQoUK6hpSgo+aIj1XlhLgItW3mQVXeGggX3XA+jKwTDFYR3KYAtzfWtRpcK/xtAmwfoZ0775fd2eNERc5vQO/Fivu7R1oHvubL4T7ivqA7fx1rTK3+zYnr5BY9/BflLhbgSh630ZTF2c6xqgDkdE7HamcuIeuKgZTU324yvnLKhX9ajzRVLQh2+W8NZtRacj6My4zv/BH7yG+yQzzPipXxteWwRsX8dwCtYuKEBpvKQwl4+AiZHu0xHvbPaTg7C3VIqB++JOoTqP0iZvt9Qs7gk/myRY3Ruu8zE2eRxul2qI7oJSB3C50HG5BfhsdADtD2yfvF/M2m+tZtzc6oHquLGTXHyz7vB/aqI82sS/1mv1OoBb9Zd3pDZ0v0gXdJ6TWsLkgzOUVrTjvYizYDqCrrCAs3vUVe86Xjd5f70h2iZyuNkcxoh36axt8RkHmzJlk3FzZoZpVLzX6xZLQ5BfmJgh+hjPiebsHAfsTvytQ9lfdjnUdmHJP2PsCe3/PwQ9au2xMMC86s+5nNr293ubTfR9fSoDbf9T9uB+C9M1kIDDO6nshJB9m9Tc7BsiP4p82lb+m4NHtNE5T4AFXJLa0VgPeiYtHlzNv5BhEoA7z309Czgh+FuUwbl8agHvtP6MK/b8qPljG9uyB/7PRQn48EX5WtUW1mvTBzy0HXdVz0GR7Czn1LDpo9D7XGZ9Ax713LsZpEKxrqFEXZnVyl+xEBilOV1qwzyX9nZBwJEz4GU1SVeylx9S4RbUhom55ojgpUeUwnWuKNFr25EBGDeVeb8CHLhWxj/XN36txfj7P1wGKcJNXYNZr+WYv2oDixfa3657W4ENoztg1iXTdV113zbQucBzlnh49NqwZF+DbXsnuAqLD6kN5PwZH6X3e8NS19oa1F7Yb3Ztfc4xXznCknA+XWe3zWTngf5wLAoanBF5R4Zz0XUdK3a8CYZPiL6aePFXf/kkN80xwfSfmogAF3vUTc3xUPTqUbcF7Pc7cdlLEhS20HVYAbqZWd/39ttCglnXlShAZ8XEn+5a58eWv3D/U+dcxI37aVW63pjJDPCxJXj459pXXIOObwY18zCea7b5TnWsGuAQ+MMF9HpHPScvBjxJ08+1XSFdP9vFpe6FVrs+gzmA/l4bS7v2/td+iseMy5Mf5lxtbwUFDs9Zjt3YBu27kC564Xyd6j4htfumc6WjSuFbo3yT+4CR1Aky7/Ok91Bii95EwAzglX3i4jntdH/7aEYGSzJXKZZdnrGpMx8ngs1ihcAvYANtqBV9E9AX+wVHac4KFqpvXZBY12Wj9oYlue9wxcxy1HmAf64/pfJeAYaKJ5Zb9Qm5aJD0uQZ7Nupex305eTpIkXm6P1yx6DyewmgT5iG7MuYL+O4+Br0AY7Zlbn/i3uVXbu1wNjN3O5NOwvWg295kAg/Yb5iadI812Qtdu+I5vxbO2wkzNtBB7bIwCtPh8hUrPJe9PzdMFDLobcaQSULNa6N7AbiqY2PA7+qeJQM8f7ClV5vY2+t+EXfkfs4SuPR/6pTznHGEfh/zUwOHgIuXTIHdqylnw221MwCJAI9kMAWYqxOzelCUr1dd/5Jwh+5s38Ph0aZaJ3WxI/xJr7F/6zVSGnqW4PNPHkd8uFgyMGwR+nddKzEet1cZfM7Uxn5M55Yd1re6d4B7+pdqYQfmy6G25pvO9QcNy/XzZaO0Qa8GsQFaxJt5HdRLQr1TPWp/+PmsjXkiQfuoO0yoc5Ndv9R2tG9yZmVqSrNR6Pzv7d/jga311x/7xlkJ3gDGOsjG7a1SOr4G5lB20bUZbsCt9FroMz5qRqBOsAXcr9v0zI44aDMH8DMX/kbneJ4Yb31sT70k/l7zYGRGX01Y2zFRKeDvheUKnk905v1M4jC1gEteY29qAU9MBhOKj5tn3YOM+fEV7p/Dtd1RDjNpFDtdD4VYl6zp2z0xlCCBT+ulv+oeqpUrS/1c9otKy/HTAN3SZwHOH2t4gfrQtSj3BjOyTmoeFkrD/3e/7MaU4efYUE8h1K9fZOCAfyyusZ0uIoyUzmOMF+khY/1S2283XYesZvUSL7GuZfBr79rEuj6FAIQCDrj+AH350ydL91UoRpVlo8qpQr/jSih4fl/hQMI9+2EZRhnopBtaPGdvsXu2qEutewiboEOH+Qz6CLT1zcpYdI35xBhI+5qI/d6ipyxPn+dKmrFe7c2NUzFcSt6veNB2j1qZAzOJ4SR7E/G6Q07l6nXuv/QYX/toMG6U/eZajAVxYJ5iy1GJK19grikEtgFj/NQpofBasDs0g8ZRRd/fyaDEozYY6FTpt/edvdVr2cajvoWq7b2NHe4L1fjSb8ZW4VHtaM/2j9f0FfSw1P2fPwhtkWBbC9nRM3ZOwdxrmSnNOGdxyV8fa+QFibLSjHxdt4eH0bH0oyH2znAetd8b6y0OP1cV/dG5v7msyQATn+s8G94XBmBUWnvpM7eiR9q2mXiRVNc+ju3yXefI9vc6fOQjP+qJAuYswIcffBo0sObFohx1HQvHfHDtcPrFufLNTK2LQXQtQz6zyt6ckuDyfF6XxEX7JJxWiDuTGICnhyzRPRMLouvHeHcZgo8yEMwddM+A0wEPOohB/GNdBg2Xv2zYX4FHPuNcTHLcmDvzp66j4h3gSXY5VMBhdiYGPceyx17ZIACBYEoanzpWx0kC0LrwzECHfZcgMCt+njHwRl3/U3B/KbJXg3rm5tf+5quORebI3YQS/NlzLtdua/2tzWiwtn/2NUPpClYAzsydCD+vYIsg8otrOUR7sqTXRrVfzMXp3/f4f/TvPzj2/4v//udc/3Ou/znX/5zr/6tzgab62oMubihqYz8ilY2T+pc+d1m3ydjweeO9DGJ/onUwdRUTz3pEPTCrDWjITUNN8Bvygy4b3d8JS72ub8sEB+sXMqoFfKEHr1FmbFcZ9X/FUPC5x0wI4cmsDIAzE3FgizoVTJYI/GeWS1T27BkDg3AAvo1PJaOmx4lA2Pcskk+nuje9VL/20HsWsrR6Yj+fAxZciASdnxoxcKPVsLXbNllu19oW48fnv2z38f/mdLyUl8NxhFdrA17/y7L+ZRnX5nRpZv0OyzJ/HZrKUzNe/jpke/+y34c5aI5Dcznd4S2/P/D636v/cl5/fer+69CLY/96fTvIS/vr2Nr8L+vXwbY5fLa/v9pe/9fL7/eW51+HPn/OAEf9X+eFX4b5vVHqeRmP3y3jIH995i3Yvm33oaT15zi2/+23/efb//bfv2/lWqrv5tf7fh04X+7q94FzW07618NQfsLPjR6JQ12qfVk16uN4PvwerOp4uRwHeIPSf9iUdf95On6P8v2ojqfHV9n/6/HfX9/xpg6f+rOX4wRHy/PU1Pqu/9dhbuCyN49Tvj2PGs8j8LssL+W/7LdfLy3/fP38l7WZB7jh948QWeK+WVV8/q4X41CG2Kjd43VvS1veHTu+O9d60Mueb7f4fb2AIDpsw1aXZl2SsT2X3Dl9ZNFRhviW6BKv8Ln9WC/7YX0X99c5Ib2zt3+9b3vYWCKPlpKvvz+y7bzvvMM2UD18PtZlX2r1OsN7VvC3Wx1+wnn69bbb3Jr37ae0FEykT3i9vYGchM+1quTyKF3jkLj9XX93yZmdDuvH57fu2ydcs5G8v60SsoX3s+8CJI7IzEPB0UnY0RVkjj73t8jrz/j9DT7z+O7P39+nWyo/WtkUFl1vx80dCJiqR6G23epz64Lc5f4oss0k4BpKbrbCojf4nF1ybJRw7Nf5t59lwCZhtQZc169rCfV9vP2+vzd9L3fBi/VWt8wIvJff33WtA2dMrKitLWqh93liffRBx/qWGXL8vUyVUJMdQaqP6WMZ/dexxEMb/vgdI0rZ7fcS8Tu28Dvzmd4GiLG5ceG5HNNfIQ9uOkwE91PyBwq3VjY8SlJEessTqOGv9xFd6tPv2SOsZX17LFkQcXnARofcwmZnTH6H4gzmDlTujVLvKo30mrI33fZdy8qN3k5+ngvgxqdMZMiNzKZTiiu/i9XnTQBFRzaMRC8zuvgFM9srs/FI6PkkPKD4PPKYH+1ATicg2TI8mAddygoFlzxTqcM79l127S7tftrqbJNcfCUBchKA5CaYFIwGjD1Ii6XNpC0+pNebhHxemS7h6E1fDVVnZgIMAxxm4wbgfb7oFlTcmxEd/CPtfF7Tz4V4MyGhbs/xDMO6fBWWQrpMMcjNHsZjrgOhtwZXmE0PWl+aU5iNUdSAjBBEWo2rNiC1Mswi///qzyeV/7/zmf+nP//nXP9/PVd6I4HSJXpGYqgp4yoq6fqrdDdB/b7GLN+aWe+/c+6dEu4EhU61DT4d6QJmWxLeq6ZnuK3+HT6/L/NpwEukhLF+Hvso+2gS7M0o7hfeaIkbbmfUySNiUy8OawuPvsHDzSL8lrHOzytTCDqoiYfeqoSfmcEE5/WT1nxVVCJmTqiw1juQ3+e0vyhERMDoRbd1oIiovHHTlTi8GiLYXovRf17L75/tFeiQnTL/Zxxw0Ca42xyoX9/r9/NTKg9ijO/NqMvq19dMhwPk7QcLzB3iLKu89qsMjyYzLgHlbKtLuJSALzokj3OzrHqdbqyczN6wTCdnwjlhLHzcszwjeFUGfhvz9mc5r2H+e2qgAHwUY9nlOwmY3sKzpPFr2US3cqLvr/Deei6ydfnPe1KRDNYis+UGsP/xjIsOJaUvA+SioO6koUMjn2HEsfFpJ9zQ7WbMOo9WSLf3dKXRuDoUeP3NQj+gC+skU3kd+q5kwsFmfEqIeofn4Wd9RMhwOTS6zZbVHjOKrZ0tp9RUKF7aRKdTP0NSGKtnZqMiteWYWeZNh1MSLxKN53xxKiM+yBfm/dM+E0rttI/AD/26v8qOOqTTmMxeb6HPxPXuO0u8l+An5CCfdhhX7+dT2U8XoN9d0zsvgMEX+P72scRjKLvxondML+9gKxc8yi7tPVuE7CXlzldM5ILv60G3vQPavE/taJY23memP5aeHEvDA7xGz23RD+6lermVA2+w5SBWun3B3nJyxtDEuN7mxJ1OPa9Db050edd/zsED7RVNf55hv1QmXPdgCmK1eeZiBw0/6Y667LG1t9ksYd5kfWyQsTcLezom2eWLcnPXcJQ14RToVhwyf6R0mlWPV4iyb91ynMKolbmamEJmORa2Tv1KPOzGw1aX0LrHdvxMn7uXBPPCON9qa41jLr9Su5jrDuiAkQKnUCs8RmPNC12WC0mzWBHiW2JodZk1s1HTIi027Cy0qrTMyOWi27sIa/0PW32mEuHA36UmcJTnuCwtrXx2q0LgDC69xoYuVdsKHY4nTfWt59jenAJdHqY0imV/fz0l+eQjY23LYPKodzOBghwkQUL2kc1o+9xKWdDSDixs7b013VCOj00fcTSgQ2H7JzYi4El+0HjTjtnMq4YJFwu1GYxDoQSC+boXiqXM8K0sx7Ful40Hf5bmhsCcS2U4LbH1p90CC349j7irHdQ7N0T6E7E3O3pfW8BWl5Kof7OH+EZM+AtV7q9xOlqVLis+soDa21l0cg9P64p8b2k65sTZs13Q+V70zneh21oBj2xydq/o0RA0OlL/7Rq7mxRsRrcGTLkbhZlnzPWIVjJgcdkjS0vGZpg3mSWPla9aSm+r0mIrquhc9JewGuQe9egZAgs22K9ijnU7mSI2/G/mrV8kbYu6F48QlLr/tcWgyx1z12eIyO+9Bdi8yBXwon/gMNEhtKYCOf17DEa86KXN3+cyC4NdS77SaT/OfmlLGQjdQnVo3tc6pHWLDufTzlJzSS+IBLqkGdh7iHDWSd0yy9OhBjCPtmIArM8F4A8eK1O+UAbjbCNU9Pi5/Bqlvd9Ww+We3S9fAm5ep+TKQAL3VyOz0Icuuy09p0Qu2GawWhEVwXvwNh2E87dda41TmHIH/Bj/frZ57Edt3G2eZSO+JDWuNFhdAb9CHfIo6VwCVr+Ufb2Uw6xDLG1EdKtkmZR5u4H7+MgCFGW+Ln0XpTQw33mHgnLcwKV+2sLYWilTxzho98CJfcbl+3MMKZUHHAgSm8rRbdTh7zDrP09JIHsRiKFxYe7RtYu9z6u0JPh++DnqlkWfxr/5lw/kR7400PN1XFAf/OtP2FxedeqrYPK79r1Volvsjv1pZ+NcKtDNbrslTInMw0bcY2+/yKU5XGJOQKeBFqxcHGZuf4utywbw7QZaBlfBJ8xTuW08cSXvl7wY0PNcsZ4P9eItyAUN1bcd4HJLVJvFVnqiwasuI3LVJThFB9rNVf/BfWjAwr9xJ8suQvqi1NufzItNYuInzr/Hi3whXbxi/qduVTvHBr7pVvOEYo0lJ5S9rrI+tWMiup0l253pR3KYDmXwOmcEOal18cB6wp3FLBxEui3XNWPbq8gBKX22y8LpGYq92hnrlLqpVQZrkoXxvVZwf8Q3E776j+dRDrr8ptw8XwszWkCgnMQotmA3RGSvTq2kBYyi163eRd5aJPwJqRzhLykK2g9xuGxodj5VlpNyKvT73ndLywmVH3Joj4DzWo3d6uz1XvnTHY9vBjLpSoSbGHz9gQzmSwEYiOG7s/fXhfa6pIlObYieLcDt5t+4SknPFnY3/8C70gP/rHF/WJkwpobWaTCeHGzFYIe1l4QiarjzXY/+XoyTKA+vN842VpFv4B5/0gLNmE9+Alqr5thiFCvatRjrsBGrmGU+7WMvMrjyzP2iLuJ9PZXho/Xecw6kchRl00U7pFu95lHfeOa/2c9POd33hv2FX0ThWokWWehLHtYI2YVBg/S6v6+7RrevNje/UqZCAWO+fmk4PQEmfieer6ohnktfzcBXvqsOu7JvLyS4bJHnP7fZlsxVW8xFUQPPRYP4AFwAfJw2ib+JdGu12EJT5bYG8PMcBf/E2szqTw2NF8Hlxw/+dr/CHCs635tue6/+tPH7Bnsxq4NOEfLb2lRhEwqPvb/apZmegM+eAIPfWdfbMKdbNiA71t9tnHX4+p3niAPXUNgslnSM8tpsdYmfpXT7u051oL5/ZXT9bF/9rUvyZ7lfFLYAnyF1evo//cSCAaml+3yddvidk9bBo+qq/52ub+tuFVe6/UtcTEb8uGwQGBsRhC6gN0AewSAwsR0b8+tPKd3O3t37Ow89urM6ywapatacUl36CYLx+x1wZjBDnOiwsoCzX1gkv7IentWZIP78jht36l5dczOa1SRbULWFMPy1d9ZCMoDrkZcMfKemO8DH6doAR2gcrMFPPRNLsU9++KXs+ZILXFJ35x0hzv9/bOMDQ2zL2d942ckttXorj+IHYFZLwdrALs7Mj7c1n0YBvsp7616h8g6ItaRhbEZqPszYlMrCC/DkfWmToBnkU2pt2i9chZCvlBTTVvhcaTJI0BDHvtXURY/GxwHgQFwXwDcW9D/aD3jcJrNeGNgCBq6Dv9L8TRr8u0MGy5WFjCvH+07c3xL6t2OXLHkwv8H/G6phEkefW2mwW2XF5iGYndUauZWvS+BHLw4O3ADRanh3AJvd/XO9U6Fl0rYhVrT/eq7dA3jDi8+bVNG//l+34dS5WaKT9yS/Occocw9L7wrWgr8kK1lA1APsBG74xXzS1pp8HVlm2vqUoGV38A7ga7t7BoCRh+UjG8jIOryQIH5xtkhZEHfZlDKkb2y4bXOHZPX4aXEbPdhi4kj7773OD7ZCNEB/2+Ztqnx5Lou4rRdl2jXcmyUezOcZDdWM2UvrATLcdmy7dhubTEmBVyn4MS04gfV0cFTOx6IBHESUWiW8J3och/YNC+X9tCIdFT+e3mdO9ZQ4McQM0GMReqZF2/33Wv79Xj82yXxzhfAfrGWWaYfcUpMKYMbNpvn1vrfaDg88E0ViyrdO0uln4F1xbZ8XwDTgj8l87DFhRqtt3x95oA/c3tike426uTrAye5Vgb9zDZ/kJx7EM7BD5jSMjEngCRH9cWCvVtzEVPEvjFrkkETqv32GEm1GoP3xZMQWMWbecfv+4lEu6/QoQ09ye2fS9Vf89H5JrPWgFi5KW34pCjwEbIAMZiT8u3uwdV5HvAM8Z4DZT45Kk0Y3ZRpwn6LyOMrWtFuXPupNCgN2pt92ujj617OKyc6jFme/PytdOdoSUQxeat948A44VJpWHXfJPkEbtl9V1+6aDt/B3x88inntwrqHZ4u7eiVY8opfZzomZrQqaHdNCNgRcFm/snGa+20G9vGVwN43w7+ep0BxHgHvHVHALPQ3F+VP+TNCDvewQxP25Q5saQa8fJWaO6prQA/oj9wCjjbYGOfrbQVc9EiBa9JkwcW0S/p1wBf+QbQitdWuUtRGoGeTxJWgy+QKfNakU2I5Nj+jpGob/suJHV7w+Pi/Z0SGI4+SIZ+xX1/aHEAzQsxuWTRxiJN3bM3XI9VfP+Uh2xvwnDaTVmLuJwJabKiAmHmwDY/MHtnI740ZTy5eLdqvliymqnGngNg6OzyvZpyyiwM7AN3k4OdN56DBiPWv8zCxmxMRb0j/N+aYEqtiAgyzALflsHc/Xep4bxBv3w725lVW8fPOAr6buoCHVF8TIfN6yC7ZEjsQ2691gYv8tO4aobPaSmwl4pspdwGusSd2jMpx8o5C27K/nUs2WxAjnXr8Jy6+fFkG8nSMFHmdGzRM70qmqppyiyAJz48T4BYTYBzwxTmENZx+RrBtb77avnuiYBYxIG3dCknjKh/5kmnU4l4WjSZVYsWvVLZ7NgJeMHsL7+cAX3V/Wlf66qfVNXZRyfn0L+xGWWbF//CJ2lJgb7eHAh6b0E/glvwEvJKQ4IcDvM7MQV8nXs2mL+6qVIA+qhxsZcUfqyzISS66Y2Jd0nBeZdy0am+XFDRMlZvxpf0TeIzOQ/2UUXv59zlnyjRoFhRn1n/b4dkkPtl4UYwvnxdq3ZLa/BnwY/g8wJB2wjq4y+f6I0HoQ/j6CZi84o6KicW/mmJnxrR+84jv8KI/apMCKLzgSDmqTclP93uWYv209ArJ4//Eu06aVqy/53Xc32xyTRIspGaACxCDV6BJSrG9gh8qkuagjZY/sxkfUAXAbZDmhoe9yg+osMFX54Sd1ivRqW3F1XQUrVcX8HwoPsA+u6bVOflJ12QzcYMZ7KzPzFj2EQ1ckP/dz+GfGPfSDpmjDweXfJsx0KBxzFjYWzX0j8aaTQn9yNjKwma8SYh3eORRwuZDM6Dn3jnbdTjHZGmL0lqXmWMBVwBuqs9/YXHPPRms77nDv3/1V8BJqTdCMf1vrQ04ov+JIxZ6o4XCwOELFe4uucFiBHgy8mfmgt8uumXFtFBLswbFJBFnN9fTq+WBaRWzUSOzMna9gwbU4O8hGYFj841MxnbhgepYAHZmb1hiePaCk3+fw+IehVWPxuzvdUwQINdPGV5gm9Tml04BbWcp2t9TNt9M+l5tt+Z3w9TnXxT4XFNIgR25SQteiPBxTwSfyXAFe41J1W3ihprzWbRv+rksx+SZM7WVtg5Vx3f5wkBhx/7LNvLQBn7w+fhf/1j/+gc8+x4PEIt4G5py5J9U2uDTTennhQdnY+MPM56hij4dyrQNOvkBfAy4aHBn9Le9AgGEyfOi1cfA2wG/+SnLBLu8HvvzypR/1z3o5wiVpt2A9Hl5DGI/sby3Rkgu/3UOzPgmqAJ787vGA79Xw69O0YAHw8FhdmLZjBbTiHtvV51ue9ByC0YqSSjJM4usMhGDhijdOtpcSlsBfrUY9FUuxsYG7VqZmWRqIR1j064aP11iRu+A7qxHVP6HR/2Tp3K+2Zi0ub+f7Q5281CFaXEiQYd4YGuKQiz7wiZlFX5Og8ciNXnDlO+BBwPbuQK+xREpiBngcAF+8Lp3QHW3syE+ZYbbEtPWZ+DnGswnNyPnok9TMphXfe9QE2fdv+Lsf9ngvQa7SU63O+3/w/kaXz6FX7pppDLDzV58w3CrspMpc4FwmLEM+RolIcqAb6Q1+CTwzYxZM0roDvS0Z4YibhjEBhECNERIlO6UHrXa1eP0SJDesQ6F0sdDYpd36rM71f91DjDif50DnCFGyjEb1ItX3VnYP1Qw6zyQIcRrhLvycnCmKWP9Krcs0HoI185kzm+7ZsF+2a939fN9yZkOMi1fNn8F9e+Ahoe9sO5Zp3fmvCOPMMsLvakG/cHA9irEk8qPr+UoP/59RlGPsVsztH35cY7Q0AwP0yb6QRd8Mn7xSuuBfee5gwF7poiYeyH/D3BSmee6DeGdR9y1F2XGqkebNtGc1DSYSYRMg8QtN6PZfOwfmT3mnBh9OJmzVCI4O55MW1ze8//7Xi9jNvrnGdDzZp4BH6yJA6aucIidBLhU5sonBh6Uh7cL4NbUuKTNI15xrnvpEuCFuqu0TiFeBrX/2yb4TM1dkB+nwFlGbFodnNY7bs7sRHsyI/DUaS1MCnKjGxf44L/2FuwTWLAZo/4fbffHMq0hmp97m8zdW48XZ/NAT0rl71ZSb8Cj4y/wHcx7IOu2AswJgI+jJxFgJyCrzXkBYMtPiW8VbTpmwXNFmGS9DfgHsOD/uZNgTg7g5/8Xjyq7wIVwHb1iG3WU5j2e+Xi2jM+asmbY40HxzS5xP63KNm2Q31eVNrG/cVW4Bp8IvNyJ08SMOhk5YO8U56it6t6MH5WvNveHfDD49/AMZ8SmFaxNgAuVwGXjMwl7pw5jh/2PvvAeOJIH2PvN39h8qERm5+ZOoOvnH14clYvwA6dG6rfdZ+5OY8V/ziy2VG8yiAkQ9z7tNIgJ62/GF55c8wNFvdtYXDQQYXAYlwK1F8p5DjwZbEYxmb8Dp8cy6eNRsJsFnOj/0JU/5whzZZOffJG/dEgMNjbz2pInvDR2PjxswLucm7wg0MtVl1hgc3bGznOu+9WRJY/yuSbAk2klVg+iEQe9AzENnVnxe95rclp21fC5EJ901Po0JVFCheacerr/K/5uQatZ0kLj339mNeLWmpYNB4eA5g3MKBgtRYyJ8ddxKkzpfuMHv7wX9K25b8tKp39Ii7TSze4C1piE0yahzMm1fipTOt1PSzPMgEWmDYEKmw55GFhcDbjHNdiSJrdkCeD57H/4RcNuL947mXK5X/sEWwLt+AbrkdB+5aV+24E+W0k+5bk1VWppNQPMV6PC3EJPHHCroY0F2t6ng9ofxdqUOMyAmxr49oW7bQE2/ioLZMcR1saUkFg9aIzpBN99LgfLBYyd/sVN5xw48L+eradW62e6fav7d+9g7S7gp9+N3Wa1Juej3ztVYL3u6FPgcDsGGiujyQW0bNEM3s9InzTUoQz5UAU/peegJzZpBjxTjTHYRrwH3bg5mlR8YQOf/7/4Crr8L5+fW+CAE3HKS+LYb2Is7xDjrxDvqGkNRQo11n7rVD7BxCI3gjanxo7v5kwmCdmdm1E1Aa/wIEvmbqKKcq16PeGCs8oyd5jt+LKNg9E+/dpphmbOR9DSDj7/z90CQnvgqwj30yunYpRgt1Vh7DW7pBE51OjnvLcAHZjXy8bcw4RU/7EYn17jkFe5LbeNZRcHFz1kFLu5oy1GNa2ZbbjnF7duq4p5O6Y5VS5PVFfem2BiUvNLQ7WjEHMrS/8Lk3fW3prGV+7DLx5SFJSgp0QYuCJEb0kO3MRCSJn2BY72FOcej0xM05U5h04D0pU96SH+FkfQP8AVNrkVc16oBx8336BRziXHgDFzRELp1N2vf7k0aHe1NRHcZUs98O+kS2YWgvj86xm1yecDXm6RhaSpuLrNQE64COwmah8VW80qkqs05EtqRlAU05OHmVc/rzNGYEfh2k20esVKTcJ2xyx5UGwuqgE41qitlKqMBtjLQ3SqQ2bKwh8swBsyTG/wbpS55XIcPu/wLD9rZlpd/TcPaLRKTS5FadqYudNvK3NTKomp8pOIxMwx5/FySoKbSdRNaoRXoLtSBVhS8U+PI4mA8/RphHage508UBHu9NdPDkz/eVdarxKLTMcAXZtl54qRGFsb/oG9guzKYX7yLrax/fnMl1aKot0Ry+4Alzoibj/lK4BhT44UwHA/05A/U4p0I8ijGWRW9eu41Mque/kQIe/JUrqAHqmi8qW/LFjnNKMaGApo2+BsJ6aEJpTd8XR1eAjPHu4W0LecRvgmWebibrc0oIsJ4/tMY6vpNk6DNOWMX2p342cmjzFQz9I9z8B13jBwk9e5jRqTiwTsy4PZ2HxC7T/uwd2YlmVg5e1b4vKFj8hKORmBp9t8VHZKwe9Pt2/a3344RtPx8T+5Pcmj+skv2l1gzyGm/LY/Bu71/jBtjfJQ51QAr7X/PDJzL9XjK40Q6Oh3L/fjWVq3t0ysRaKnFWiiCr7nAHaeVgOKQNuHDPiG7PDpYLc2cEvja7A+tydFn68zvYvZn+p5+wbbi6phfaIWfgP7eANdeCnFtGD7D8SSuGRcPeUQfzUjsZWPLMUsT2liV27vYk4q3JMK1n/AerMpQcsz085sJFfq7n7jlzmjagKISQ5xJPiIENOXZNZj78T75ATvTMFnfdXurU+vslBf66k1XC6N4t6UbZYMlA/o1XwgY+5DJHO8jwz0c9nHA0GZBb7+Gsu9wj4+Nbq/i/4W10KlUkwDcclZGWygyVJTBrzn/Mie663qPRAwa4uNoD4cuZQD2rMieAjwF+B1kbIxIS6eAMvBNiYX9nw8svilK1HGsSWd0kqY4Xkxym3ypkIlshEss3+3cOANe5ccxHZ9bcbdCtv8RjpJWdRf5Dh51Jbeka1NS7EP+JkTsT7X3eeq6vEGtCD4zPV1TwR2zBkT668cOJ4q/uI+pQaeY3TKsN6IQn7trcTLrduQFhsNnHMLduSmDLiLu3GTAVkH4O25a86SE6emm2tegM9xnVenqwsB/redk9Sfd/AxR57WXwL29rAEEMNBIwdmBPKnncO7cWvlwLvk3PLGBjg3d9VEqd41wxo4R2NR5/wkA3py62pJJs8/LdfFOiyL3b3s5xfHviRPc+5PrBz9nDeJOpxN+/qMP9d27djXepTJ8bQupKtvxk7S7dUrx8wjNupxhyVw7xPYic/QlKd0M4tg+iJ/lVYuYLyI+vjVGmDLxbt71HJRwzppBu5Rd7OU1lwlQs4S7Z55hyIxxh31UVQOnlXS7K7oxsML8FK3fHIbsDlM7hBXboCz5kyYSUs5zekmOeDW3lavu5vYtDjLWHtuNEqOmuCGYtYs7e4oCMSW1XyMuIA9ivaWvOQjvgEurRK3vFBf96WWp9reeYrGAUZGf6pvLuJE+dy0DHRwkdkq+NUp95pqXorzJS3KOUdyzIHjMF8Bx0Epidg9GSHuCgU+LE9gj08M8S3lbVGy6c6R3gP/l1h4VyneZ/DTqHGnDPM2Bs68aYZ3RxWbl4btEwd8sQB8Xza9GuIJB2qbCQke2v+0zDyG3IzqvtWIj9VidA++Y8eMQAf8ZARR62ZK4mGfr0uyvZlz6+JgrS7MNuPOFKnH8+V1jt10JKy4iXn246/8lQz+7eVNQXgaZBc6sJm7waMeJps6mcsoPyTj51Mw9JGgjUXRpsiX7Jl0+EKG1qqf60oKpfMwbsuuX8EavO5TZlhX+BltDi7E+iCYq2hyM1ejvTVLthAL4qCTmdYfQ+PkwKEVe5jS2Tfg8B8sUIBnHOJeCToCx8Q153JmFHRzqQI8cr1Z1RF7nW9MpdBmtLrJFbLNaI2D9engrvzx+9ycCYQ3WkXAszWsr27to7CRabPViJgyk1cZoVih9gTYDJqV9LBPH6JQrikZbXhrCXR+6a+PmsZfylLXpEMZ6xWRkU6zIh4MltOR3Y1PyaK/VANPVb9akmGqZGTKit8vJDJ3Fhw1He4bv3crfwPY0iaVvbnu3c2N5zcM9vQ6+7KSjgeKtlr9jCXKZvh7OvX1WzNiW1H9MAPVjmPwzHtQ0HpKjpFMS6o6BVwm6YlpS+Er988i8+sqCZgZc3Sqh6tVjW3Cwt0D2PurZU/MzKjU4d2iIl4l4fxd+TisNaqSEXuwH0saZbMU3irR7bcYQKu77YeKJkdF/QOHD5NvdoLndI/CmpPB7svhAbhDQmqrMwX7UaGHfzm29TlXZoz283pRPyWuJj/oz4PZ2MTeeyXatlpAz9qxyMMJ1bY+41FybPBvCCx4Zy9HWlbhegJ7AI4wRWkk90eaLcew9Jr+N/dAVFEcg++B3ryNqbgl1XN9SX18hbhecqcVmYvOPxpMBw/akyjriD5GJGCMZ03XXFLWlgnFA2HAKbU8wEr/ldNJZYIL3Je2fN2bg+67LqCVNlSUs3T5NYF9LZ32uw7xuS7iGSw3ZeAzeVR6QiDOdDA3LrmBXr8mbNJlnwA3yABnJ5KxwOVUH0Q/c7y0ae2sP4Abvc4cArqUS+XKbwkaKBt1xe32qsQEXHPmIsielY8kcMS+FDhJ+myuhzhpAtA1AmKcgxNmb0ol1m/1yKsj5afMgnUuUCTRpodYkImeZK98gJp+ekc+bZTB79Pt1gQ2xxq8oJBVAvYKeu+RWOUMfMg9FhCPndU9ESrDweMB+u+7RqAZ9B9377SksT/voCmdg2W5qiPx4Xl18nxNXhiV5resPq1tLFYr2gOmhdxtgtZh4uqBTkoYj/2cKqSizKqG+HkAzQwa5sDH3dO00MhYck8DZB8ctTU5aMDdgsaMnB92bkOlrTr5OnN4Sp9HufCe2E1gP/hC9Rm0bHyToUfwAH7keLMMSqfWOizH2GEIIsb4B7hwcsHupyvDmBFnWtUW0Q2Nnw0Fu7a8axPaA1tAa1rT72iHevzzrIdgoVG2MnefTSH1sV+nEL9nZc73B3YB33SPXewl9qcjfHQnHd+W487iflw1/Lxwp1llDLip5hA3ygX0IURfbUZBfDHw+pf+qjrcYktlEA9P1aK+gPX3wGOmg2PrhE/J3pl07pAvSdUXcIUEtJDXnK4ePON9755dxuYANFla9oG5n1sBlljS3a1K3faA0Yvsf/Pnn3kEPLfTcRPypOHTSIDHJmNrq2jnJZ0skq5fwPZPoiMRXuIBOP+dGq0xyjdF+7lZNrhk63MSyR4PM0/ydysR6y3g4OXot8D91asFpwP8rMDbK+gTVeKC7Lmlv4AzIiaQhD3yCUNxAjowKzChIaK1HbcZi/3abd3cjNQcmdcMuOPmLFT0i/SzORvmCZ51TqPWBad4xeWzac8A8f1Divgb8CTjplVNr4OMsVXVKay6+JJYc0HF7Yad2NQogGbkV4i7Y0Z5CbwWdAdqBZu3gCkbM35VMGsBuLMFmw4y+G1/jI5BTDNmf9ego0qLvzU+2BeSoWmbRxZdAs83bQ/uIsIFC1rWaH7L2Eyb3tsTYW8ojyHWtXNayAk+24xrs5rhdslsvKeMPWr7tybrkAPX4GAHJSfbrC8fYtwg0P9TbutDUpDvrGtnMqydepG67uO/WuCZsfXLJpWmZbBpDxe2JHfgORgqEop6gfpH5SjGetjbiL3uRqMkQo/D8ueR05alBbsrf2PyGJLE4lfgFHFuPRbSQ8wNH65AamdyqUt7dyG21nS4vZk70r11dXF+Kyu3zcw5dW1qrDRBf93XbV55Dn7de2/lgs6lyUWLAqcS67lG6NGYu5dw2klh72vGrHy7bmtffZQDxOhO94nOVqogV0zjXo2blmqy5AvoUrT5ZiL2qEMmwNhCDfK1X3nl3HLsoKrugzvor7uy1l5CGcRT9QBdfBN94JWCbHEPJDqMxZGqU16AvnP5rqSJaZFvtGGswvO9HvSKcgJcXVGI72m2SOAErzv6m0j62KqQHhLTjrIDHa/lIMPp3vjIMaM688i08Z/Lg42nukNvoPsQ+NqzduStAs2RCP1MROmqXnqp4CvwDTPywgf+Rnj3CfrG/s1NLa32C7TfiXetuf9dlXQzHOxmpSK8KxdiWnlMsld9GrQ7ObLFjOGEp7HU8nkpew+e4ewdlsSMQL83TnKXXVtwWzmA2yfh72zQQC8O4GI7W5m2fcpnM2a3XJk7+IEzsEEzimjzc44TTTJf5A0LuzgOzMVL75o2U1j3F+CJWm1v4HfzYNrgAjceTF1Qo0Fzh+2Khb8tAje1G4OufL/IUFlHAfZvo6Fa+mUPe0sN5grQnIP9LTn4LGr7xmrbRHgJX1RbUnQ4wt6XAp7NnkybuE0aagswADAaYjSaTDvZ3/tKbG80FYBbpjX19gYc7M+l6fR3ZVrVD6CLaPxBBOh8m4BVEQ+Pn8Dy2+iwlIZXvwFem3ZdT+xrQoMfLC6xw6uEqycWhAM3f+mv0wE0duOQLfnR+EpLCjqVBq5yQBNFm5taEgtsxXynVwXBkjveJELuHMdsaUBfJD56ymjyEn/DzIi2lM02tZQH+pkcx5iJ/Pryrxy0ZAQYU2YdElW4mwm7Aa/ATHZqVYr1Qw3YEkyhbAiexM6e+yUDLoD2pZM9csBXJbhH2LQ1DDvTqEhR3OYj+eB+Y5XdnxUufu+kZuxvErAqWGN0Lzk6czOS0tU+ZXN8LFpPsDVwAaVNG1Nl2vcL21cL6NqI74BTQgyOL3VBwnpYEw6ozwPkV0FLD27cUmqw9LdNlZ0HN5Ez4OwuIFHIZUrNSEoL4kSzKmEd8n66g43hutD75HQLm4hXWNwWwPsK+E8mu/gD681Z+Bg0sFcclk+3YfO1HDc7gv6sABNfPIqUugQbUFg6UypD+VDB+4qPm+job7D44fObJ6yRGef4LQLvKfV5lVF5ygN0BywnSu/uYmyfTfDuEM7vxJyPDJLWodrnLDa1wq96h7CyrtbeRoes2LiZ3tiwCtuskCslVAs/u2ZEsRKel/cIPsrkzJlagltgcrBYhygzuQT2lB8Z6NwC3+vo8ykXcuW2vJaFsmn4W+NjRhfbwC27kjLAA28pe+xK61bUgcmtMvUjs/FLC+w6FxwRxRNHUeUkJh8zWEPs3j1IrztqtR3EFYKB88nt1ZNiio8gAvLT+rd9ZEqxqYW6SU28xnqAvicZfG4HMXafQrwRJn8pjN+w/XP+0Te2qYvGe6yJW/eky8NP29SgJCG61RbE7NNaH9GmbDrwj+hsV8urPevNgXh8Kk3ujFYh8KQTtwlwu/YGOqSCdYvqcEpxvs5yyu6U6ygb2k1jyzMRa5H1aOFDCx4I0Y7hexLpMhX2WPazzQO5TxhoLfQa5Xt1Mk5OArCocuIB/u1QP+b1SN4ow13WAx7ozxn4Jt878osKT6uIi6bbrFgkd6IzIza9R6JjBHHslAN64wV/HPXkCt7y/aIuibBfMWUDa7eU7sbGNLk3XWbD2hMmIIb1a4/YEGdDr+Cmla3NQFvuADtAX3P8kff6lHSbA3e8EvY0pyHEmMCbaqFgvaehAp6Et2v/yMrXvXkOWgB0K6DDyCwWco0FKiH+wtqCrXTq73o+XZA+JsreBIn+cz+45VMIG6diWpqizdNg7nEP1jIinzrazZzPmdra1NJtzdiIFweQY/k0eaxgpx8k7C0Kf+MInFsW8rt0AOt0O2SD3LAoAfyYJBs+n3yJTS4m6NrzkwFeJKZ+iPEn4Ltpo/tUQf/IHJ6VJleoi39bfTFk6ugRT6zbBfjvzdwfAle1QJPB2p0vyYDewMJd7n463McpdvFAO3w/LGhUYbMkoyTAf0HfEIdSlYj+3YPf9tIoTsX4B9Zevs6+0oO1ljwiDhvQCdauNLWjmO4s4BCMWjuH0PIuhjjjSE2NY0afEdDnWMP6fSjQZRWfhIo2dqI5yyj5OHYQjzl+SJS5jRXYIopf9USLCOMtDiXPXFIlAV6qCIdlDzyC6T41dTeghDlru+O4W3gxwb5v8oatBTUjvEczBq11wHurlENMsyedhLc4cewvMUxVbp2fyv7Nj/o4UuBBpjZ/eMxs+XyK8AbcfVNgwzd7PTbAxzNh2XvLO+VW7/Huj0tovGscZdWOjnBHOGAWIaN2+IhJNapNtmxYyfT9WBA/ZfFrRNYGdAzEddhDwCIK2h9wA2Il2db5zc46ec04IGyADgnVvbTkNefKjIuPDTdO6B+7Hk3zSNIxV+7qQbpVqMoasDMTMXw/SXIb/46Fy+04qXpuMMqVduuRRV6bAEFEm74aa06r3rYAgy4QEzlfJJLR5tFYXoFHfFDWXNGwtEHbAKde72QnIa4YDYBuSahGXJizn9+60SXpEje3Znhu4CPh/KBuYAnxWGUjZ4L/cRs3mJv+4dVB8xCh3UPMMiPd+syJIxrcNgmoIHa64axT22OnRL1db+iwugNPOAOjGEh+e9nhgQ3T3txhgK7uS8e+VHy3VP0c1U6b1wva0CKZCcKICAR4LkFnoBUv4l4UsYD397NCF8wFn+w28cECOzTjEAYV1O6Uq55zUDyvO44Zi7bIus2Yg/5ORvwkVgxxpnF+RiIu5KduuwScAy5m2rwdSnfCEGsC2OdC+dkKVrAkz1snXWZ0PyYBcpNgFiYPvixMLWH524JT9eSsFg36WL6ldOfSQW9ln9ly4E42yiTrea4GAr4Uk8y0Gi+ILPP3e93f4mZ767gzP+C3U44YoP0MPqV9Psy9iNgsdCtA975qfM6Mt/hoaoHC+Aaxz7Twe1aD3JdDyyGGP3iv92rYPVMqP0Av5DXYKhnVDP88mtOtlOJ2JaFkdfd5r5bgAXx5J5HqaaSstNhZdLu+vs4cpB/M+yWwwf6i42CfGWq8n5bUC2BgFzhHfV6k6B/Mb43/hLkDfNvSV2nZLrG4VsvOUUG7qNB61HRj512bA0+5JT2zE4E4xK9Xi9u7QpN17OUTvHtHxjgAfvfBzDnSuAGd582VIJek0BAz27Skctswos37NSYuWLIHbG8lcB/qTp4oyINtbyULE6/RbQK2Fjf81RbzRrOuWSCSfNdmXIvGCXaCJbNVRpkXZ07zODzXWco+bdzhvPE3LcTCvuHqLUHTM0XZo9bNQ/7cQ8gW4o1b6liXRf80+1gynKaUvWLlHex0Z2q5cuCWeThtG5+Bjpqvqa8C6sgV7s930OIfzaDS/cI/0vD2xWm2qiO+JIhfq/z9kgOvT4pgTpmE/Z235fK5SgXwKcFBh/ev9zIj8LqyS0w71x4PMaus9s4jaZu7jtwhoHFQwoLmkvh410AMP2rNkl4CByS26nqXIbBbaw2sfN0d3DPoq9IDDcPMyBGjv2S3ed2bf0kK+6wnSwzyyaJY45HsATNAt3gXPEp4DnQFTLGBb1l79+xxn2c15VcF/pwsf0C/gbYTOFM+/+bsdm4oxFnYl8aXrtjeUuki/tIp3AkeoBnnSiezAq0LMeN5FMxJFi3N3U8qbgNZmqcsphO21jpxPIssf2Y57O6YNU/8XGuwQwsX0yALzeRQgv+igUZxLod1qfL1iwMklegviYu/GgQ63t95oJ+cmurvvU3uKT+vgAeFjGGeOWonID6AfpUU/l27rYfD9QGjOJbw9+lACtOnIaMbq+yBs4em78Pm2lD9yu3xTDvdBKEVYcjD2nDCdQ76u8yLeJs4cwvxzVPIjMLyCB3OD9DyMwVNJGiMxUiebInnyi5NnexHyZWdsRjwMHnk1PhR+azY/HqvsAHfIL21Al2eiZDAurQs4WBf4VomnbIy4HCceYnpwSCCz/mwsDvEplW1JF4d3hys8ap0FYIYgTD7dLk9ldjGRTUQmjiJh33ywqiYWuWlKSaIoIhjYCJJv5v3bmkLhr1qaGkNHDXl8AxWHEDsOyvH7sEn2rrT8M4YdMLGjMxlFWtv5ahWJLgBbvD0YLdpbtk300L+7+9qpdseMseMMpMI4hj8bNq0nw33BrYYADfaPMvejFbALUObVRKgFRtuO65BObpSJgu7qHGDaIF/3p3a7VUMyAM7nfJOZU3v/Y7yNf2Ofu7aLJuppf0iJi8ztEPl4C0JpGz6tkh8nfKgXdUOctUQW7C2YTX+VVvCaHzmPX5kPc4Ik28H692MnwZ93pva3V3VNS/eC+++nkBbU+UDb/LxSo2alUVcAE+YuZXY1JyxAe5K+lP/Y8b+0lxLsEG8yX/OvUAXjX9s4nIBGgwRa0pLgbwkOnslvJGM+OucrU0Ftn9yhW1tAfss2aAqYvMQcMuFZ+Wc9XYazj4L5qos0FYh7aeC+LA/X3IE3mt5X1wEjtDxl4BYU/mk5T0H3WNi76Rrjl55RHkj4msV2G81yy7JeLaPaDrlUctBa7upH0vwxauJYTJkHh1AegXojXB5wAF/ywuEE7cd60UOOZ/sEvg58Dx/7yAfM4hwIv7OqH7lijyOoDPh8+KEne81Q9+1NbXNkt0BiwA5k6VadvMRdFYaKp6LZj6ObQRabwR/vOeR3INdHHL2vqIhT3PRQ8yaY8GnrQjkmC9S7q3gdTfqstN1qQXgaDDTZATB38WlDLxv+L658ZsF2+zCOqkr8IfjCNxx2WxKTVoxAA8YeJr1NkkGzeVINuWolzT4vNCeXOphtYL9xwoe+MUBSuvWZv3Z5cvuUvellyyxVQfoWQ5eCxzmVEflE7R5iQGfj1EMHK6NjlSVjZ7KY2H2RPfAXwn4oS/EGmzJHjFq7xXEoLRAKA/0i7PtBfC3umu/ucMHFgH+OdPqiOL+aMbjFZsdCVs3Y5/3umvuyiGrzN6Y+mWvsn/6pznlUM61reFd+IYx4Eauesge4stzPTUhfGYgX7ixJUxtGidGR9/cU29IBtoPtBSQhsxraPI0/LM0+QDRlIiBLUmEN6ABsdHSyfYG75pdjuGcJabVc6Tx4fkOOqlfeDA/iW/GFbzyba6OEtKh5r4sko/a1xp4zxaPyaNxuHewQFf46i1jN4jtKD1GpqZx0ke6adWYXfASXCp2XWR+W+Hu0yut2aFo0uVpzXA0kZJP6cHlrzO9U6OxPg7MwTaxFC3NuPvT0YyEQsiHvbhJv0VZEZfA30oyxI/Saj+A5057N5aMPe65NVlmlB7sVZhT01JS5+L0Dnx9nQPO9EnRTi+bx/l1OQ5cVCI+kQFRUF/3ZiyB/8V+whFg0O7BI9zD912TE8QrW4LmJLucmt5N3JZBa2qOrmpJ3ATcvnK8CoPGk6OqwAdJTX9zbr+I037kNrrmlGtBAy8ZVg7oYgQ2+FXZ55UYJzsP9Xdpb/bVwh8qwLe9HXsZ6AnQfGO1QOzyeapQe2tcHcv8OvNAnYH7XRM9tbndvvTXcAzxjFFvkd5zGiRtFnpBA7YJz8WT7btDfFUcHNAjwGUaVxWEIlM3lzb97QLx66BcfFEddiCWStXLubLUFUNMog6bc0ffSG/LX19G0pUBkKPw3Wssm1M/DiquLzlwyaNPkDAjGvy/+hrIol1ogDelG3+XLvKVox4cdI30sa6GuDP+gUO+MvkNe4v81OKbM5+XLx+cx0pEfIAYzmENH4lG5Ig2tsmNkxQ+w9QUCxKRSK0EQzlD+IMM67aKMvdI25Kaz0do/zOel0ngnv2KmLof/bkqNZszTQ6vs0rwA58yTRMR3/j23TPjeGHPKUemZr9dAfcIpI1wDrEKMHZSzIx4JBxwYS/CFegD1AFeOyZFGi/J5QgYdaSwLg5ySIFoPdivWrNnE7UbPuotK6YNtWIkHcUre4OJwJc8tJ2KtkQyFONiN9dMPY/+JqwtvEmea0Yj+cU4MTrqTEeISIN+ZsPtWrqA4+PmXPbYkgN7nS2XPCK+GJIl19wFnOl4sAZOMY+AFym1py8h+hm4Z6uYzhOnvWAqISasL5nwIh7wCQ8YsWD9nWkz6v3WE3EDja5IZn86NFT+3v5tjT1xpk3950eu9UMG+E06+MDCKQCdCJycv1WhdGtkxifiDfDvrTS4w2Zbap0mgG9gk0XyM9KYr3KOl8q57cgC+sOyAaP/WFyo33HIEjSWGjJHUOxha4pZ0QZ1YDt1RO6VjZ9M3EIC8YU4gV0X8kr6W5gUUoKvC87mtI42JWDISgzWAj7iNlyCRvZa0emytvjzaDqJ/b2GkgKOjcDLhGX6OojKAc8aSdn4/R04uQWx+G7uEMDXS4q0BXrupPqrq0K9z3rC6jB2geP6ianB6Jon5X+eavC+aJe4R9Dv+LT+HaNe2mdbabStF+2IrvRMnlTj7hYR9fck4Nl+aa/ALTpzn1YuKpHgD1RwB9bPwszmEDO22NIfyfNm7lEKwxUAN5zEkSeJzrBWj9ddQNWEpC87daMdArbw56662NxdgLYi3yn649YC9zVtnocFf7ExLlmfuHno9WCzYx1OIQ5QUTvtdwY6OethXV3Z4wX8meItxPEWd+h1pgerUILuJqCDbf8YyZIKb8YFaG2qPGI+O/QW4E9tGpGRD+pJQFwwYbclu3qVQ/JG67xmrayG2wRcoGqKxk2GuE2oqVGCeA8w+9Kwx5A7wCdWtONfUsQHYGlWtWDYnHIF+/U4ntYjC4KVcuNWAD4xofbA2xfWxSm2VA+4/VXlV2/vTFse4K0opjCxPy8snLeANbjmzUtXFnu7WYGu+gLNZUZTDZwDNm1vb2ZUJujMii76C3Qm6K94oBCXMOW0Cd49KTJH6tZhuqWVw79B2+/VgHIc6Qsp2p0MrCVHbQBK7uVfQUXxLbE3N+BBRR3JSEWbu+pbrwnbr5SqDTzvE4+4hJi/OoA1HJbmwTq9Ff4mroT2gQMfsoGY+h638ncu7OmHyWFjockbNvUP02/viDq/XvY2rsDeYipkmjnrLh+sBwnVzxiQvXVbHaNPl2yvoPVxVkUNfEb8ZcZBpoVcEi5NDXhOQfulNI4Bm06NA/7jZI5Z+/r0/sqPSg5LG+bbNfjs54J9GVC+GeD3vdJtMWDQNv+rl16Sa9ybnkR59MchjjmTsuYKTYVgkmZuuaT5uq8oao9h9sQOMXftLRnaPgN9/1ufIrAZPYtwsN7wKDPn8jcOCoT2wK/D3eoYcIOpH4BzklgA8D7ZKKE+Mq3vWMiL1OQD9NbhKDzw5TjG42bCsJ6l++mUesIpm19xuVJUo8ydcrB5Wrt/rMx5LLwg34kVHxhHHti8X2vAcRdNjaVjPrag8DdJzuC7BxznlrowVnqsRzkN12+Ah+hY/HkyCjbHQUNav7k9q2OhzVh2X7k6UzRGoieODFZzKaYCnkEw4XXAv4ok8L6yXt0Tukkyk2dk+iQFOMxDEvNQjUzH5zzAGvy6BZ8DPyOyCZEjBPrFw5p+gi6cIuW2z2rUM3eae2VGK+npYkZtmftjUPgPKRo3d2LGh1hiC33RkFgQo/uyUCW1LFfyz0vq8w+wn6jSpXvU8QJxVx9H9cqp+KnHw8FsaqwWFvBVxiG+hJOXFyVoZJmkgcZybKfE1VbirP1m2F1S9ngCn/OJ43XERifgWGXC/6yI3TqArVcSBBZdiF0L7zsN49caPsBv9hCL/WN+o4JusuNA7odFXU38VIK8pdxoZ+BGjm16tfTJ4Bmby/duvzBxvYvAjHmfBohL99qy7yQo7/USXzLgH+l2TaoheOU6nlIffef957O02ywtzsDDds/aV6FiU0LctgAud5MFW/ASV0etaGbpADTAUyDmyWXnKd22e1t9NYs2ZyXg87EFz3jfWzg9UjmInr/4xkHpxmU+1woBxiFV1Ag4G0V+3WV2PgCXCKfe9MgEfdY2om3Lov0uB7JrximorTjPekmq7g9wZ81UpIZjYKcqsFti71w8tovhEK86DhEED7CbjakXUOArZY8ewI0f5oaSgAZORWn6PA7NyEuV38JsIaTsrw+K8E3yFmx4EsBVZuJjiNG9lS/qopA6g4Z1SsvWwBVfePhBAM/qaHoT1OQcrw/SJwVF7PJ3zY4HfCfi1tWGx0uBT5l7WRf0T1qNJl9WzUeEpvJ0a0HDfGUWseVwtWmQrEDDl7XPTW3sS+stWJh+SbbpT7rloWXvHZwffRyVjMQkML0SPx+Ae20F3gZ7SsDPAmLtHjJqKwwaClvxMyl6NwHOIIezLQYylINyj9sb2I6XNUH7m5tKwAmlLoGjZqaG68t0Fc9YHLBu5/FiWjWhKpXpz1GoJWf4DDonSgNvDxQZMAl0dLg2oxUzDDo2NfVpBYS+Vx0qw74Zi/T3fnm5hb+byLB/0G4/+VE7t7H/mDEsuXreugrt3DQ3fTraFHhHmIbkS/WZzXUAWIbOwFXTn/7kVG/5MOkMTIEt8TZH2b2hmyAZyStfNFOB+sq5Gcm50STE9BjMST7KO9gQqK6pazRZJYOdwH7fKENPFfJHNTwWZWkGewo8dp0AV4mB6XS1DXwq1GccAO6yGHjW9JX6n68aBEodsq99MklnRmCrnPTzxvSAyBy8NT1Jy4JdEoTO8L27ZIlLsNcvwAqPdRs7CWWrFrN3GN4XvTFmzpXKRwU2nfdgK1Seaf9r8zN1k7kOsFUj6YP+yimSArjKpo4Qq21kV4BFpVbbJIgj+D1TO2tnlsrAu+ejGVfsl7PJgwUf/hBhMpdOvN1bM2iLW8qizVIH6jVK6p4DfwbeV2WOqpireWmpkTrJI+XtWBVtpXRmyQJ9NP5Prd1bxdZusr3OzbCaCQJtPsbXWty2aghW2QLx1Jet1NOGWO8z6P4Y9NWrx91VisfzyGzT9ztQQ2KniEw/48PDieXW1U2e7/f9gnd4e4uBjVg8UhvVoWfu7x6kIBvYoyQbzuZbTH/NDxxmK6MbWSg/APtWNHzlR13huVqvCnfuAThCCdG0LHS0d6w7i+KiKbAgiM8SuHW+4CJ3NzPYBq/At/NoEhgiq9je+hqBT/dtYOJYw25PhUgJOikkbC7583f85zUDHgH8ELTV5zOJTFnqLGtr5yT5u411TCodRwno68qMoxqTWZ1uunJJkjDgFVpua+tmlYCzSszieHqHeKPYUfM7YMLQ0Dbh+fp1x3EAHXKF2HcCzobroLcSu7mIqLWAi61U125Jr9LGJbLsZ7+04jLpmhWBP+dh/OBRq8F+NsCqv7kL69Bt+gp8WI7c9PAsDw6f4L9fORWWuTs5BtmjsZNX7SdoiM09e66BAe9Mre+mZOZev02SgDgkAu3AHnNpo9vRbx7S7z0SsAulfCDifMGB8usR60RAAHZVVnXydTfaJqA5cGAB7smt6XmBrcT0a34z/A94aNFQ7HNnbTEXSUa1PjjxCH6MiB8n8OwZticnWbKfUfd4WPPM0SNw8y4PVk94L+BM8+uOg4B2J4qpVqENLRnEhqWZ1aA3lVgvmGYeAZ5Vjq3DbfWsKbHp0L6B3nwAHpkclyG3Elfla6fp/ngMEc2CNiQn00dt99Mrzoxgf+1XI9B346NIIWmTju+kbXJPvEAtBJHu08rg85TlYeDLcWWRLWDkV0M1NTYP624fBflKrMmlgX3iHLmgyaKM9k/Fzb3dDnjD+sWxmYR4W9vN3IBGK5f4XgfrhYvWFoHaEDdxea9OYIMVHuMEsMnU+txA71AcAfIPMSs1PgBWQmxa9zkDre7KW0VNJ7bSgRgu8kK+RhSn0vLsvL99A58CPGznksJ39jOuHHxtWBxXXDGw6w4iQUV5/0yc29h02Eq3V3vvkpGB/zS+Kkqr8VSh+yqcM8WJVByPDed+FUyvuwAbtAJoc2+f98DJKD+LLvEyV0KE3Zie4xE5/dVz8Bg8gAvMDkbmrv9xx5Fa9o6yQTOBR5GvZni3ebi7qOAT4tHN5+JzTob5o0LafvH5KlxdDo4Zmag9aXNfDdOKbtcuW/ilcaTJb9XAv9Okv0nBeQj8DfSWPgHTXRKXUMHA37Y3BrqTkE6Bf6AnNv3BO30WoXUntn69F2sW9YR996Vze2Br+hahOvz0VKH9owmQqXU1fSzs5LSm1Yh73D8M59hCbHWPncyPtLWY/+fHXoHzPquh3ebWu9308pyj2E7YK6bcrHxQDl82U+NvQvj1yPQhSPpsqRdyIsDNpDWZHqodcDLe2G2ytx4PwCaMQcsBN91XXN8aa55wqHdgn0EFgoMFlkeAcZULzkFT717aAfyf8e1tm9IGPEH+9LGFOGFGnZeswz3g4kVt380YZxub93Pw3357C/GSeFLL0NT7mfGGRutVDL53CVYVjS95P93kaf0a4dM1g41/ekMwvZewPqZeFfQfb3QJn9p45qwOeNNKjqbOl4eZ6VsNei2xPHOGEhA+7VinQnN+jXvLVaAXecFWWX4bSwZ8yMenl803zuQTZgHGxazydQx29k0CXeXWHMrA1LsiiGnYpzS4l5zAGnnAq+IFeLfDLKWlq5fEnGkFepXn78DbVKdG+eTj7pLDWh2c28cvtxmmLdjRPg9BQViznXXYVhbYAY9tXBBOIpKQJfZxsFplDqxv/wDtg4aDU94rTjL4LFb35HwMkLljn5OlDbLx836wNAY8GpPiz+8Yv2M/RbljenajOY82N2LFFNbaPXL8nRZTDBz1S9ryUVs8wM5tA7YJ3DuYj8ABcqTeGPBfsPOMM/2kju3WFnqa2pGDsxYJ8KhSrIPXd9GOT43Nd3xQOy6k0bhMWbdKsGRmzvmSuM2l6ctV1pEbsckND5/PNCCbBuk8E7HAfQtBNM4yU1lJswWUlFuOquOwRjWoHEn1i9v4eXheUfTpyRF/H9yz24SAdeiPzXwJulc/gK/btcMWifBIosYGbiRK5+bVGjR4UQK2ekarDqUoIQbdphK+UbEWE2HdgfeX9Hl74bzO7E0lA/aoRfxU+vPBC8XK/ObhDt2a5Y+bDGCjZvS5sObKby4pTdwcTLcSn6s6RBPWyox3fBNaz4wCpxP8QzLvzK1bRMd2kAv5j3awPCnCB+AiN33f5tTUtLOHdRzavFnwqWY7R4r23vQ3T/U94P98N6MWs1HhrEf3RLcbZdnbTLwbfWXG8wKHJKAxYnxwJ6fqssuvHXagDf6ueRRInqVGLWOc54WpNS4hpuMYcGmpnLjMBLrgcNIQ24AvyDQZ/8x7F99rv7VxKLPK1c96Cxg7eFlt7isCL4XYjV5n5tRGlzqQsTBn4Zb66UnXWG0K2sf0atFsbHfVcDaV1B+pGeMa6H5vvbugAxbmYgI8CbjUNDW6X8rn2oWQdM4LtM+jHWhpZovx1csUMGqITQ9j049aNM+rGQFtCz6l+0V1ieOFGZvjvNs9jv7mKjjEcFPrFgVWydGUjLoA3lgBXp1NH3rgeDJx43sqwP7Gz4fppyP4b7+vu2DZogbm5UOb1QOx8/DdZT3z9q6pSYCI1/ET6W+PRGicC5Pv1l9yQHT4zlXWY5mHqyf83Ur1P2NIr3ycWtMvOwnNmds0Jq58cbaZjqYecx2mwLcyymfg5CsevoOW39n5gnawJhmEhZyDfjE92Lm7WxHmVSpURcO0jUErJtt1VXay3y8EYqwSZsRmtcS3HEkJrDz4T97Xeq51s6oCvq3Z+Qn+2nKEC+BKRV7AeyC+5BwH0rpdMIt9yuOCAaYCdxhNnXEm2q/al2cenufEmUGf9dYxkLngOsJMsiRoX1qvpUGcQKwYTW4VvKPHw/YAfLnKgC/UgW4l4998wFvAlgXsoqqKzYPqCYMmOFO6u1SFqfEiVe08nlWPztnPnX/zMD3cGyq3Zkzx66zSjJSrBrSUFHhJQBIZoQ/QpC5BLeF8s01Bd8hejThqcdO1+3wxo38hWkZaK64d0FSB6cVHkQqPIV5RDXjdW47UpmfHemrgM182X/7do9/0lSjtP8A9YkuZfkL+zsvD3fPg8i/QgEkTTpapQ6zc+FI60xUehPCwhFj3aWY6OQw1boI2pmeXBq7yV88F+8/yD23O2p9eR1W/WsDPU+XKDLRTV1rzNenkmZh7C/d8J5H29s/1F3Fl2QzK1PrPHPaxihpLmjgmfnoADiyIK8Ci87FHB0Wl6Znxqk/xD1Yz524bJqgFhtwGKpyqmpYOHz4dY/u0U5yC7qodLCnaPJsB1idf50zgL1FInQbaUXQDcWXeyl5/Z+AnxyFODoukgAGmzvWV59A3fOMDrm2rIY4o4/fa5qdqCBwetDbwYbfR074spChHngqG0nrkExXTjQ02x8zgZ7KwwdvmQ+ZRRFzQ234axLl0JgExETTX/Hovr3RQW7p/bEJJooZZKxcfjmG8ymzTXxYwXBDQGrevBOyY97dRds0F1vktQeWKFs2d6s/73vIezch3NJx9k4eSIlODHDwzzlNJN+eXbaS8Af5qzYrZoRiU5BbfYypP1Na7fNRImVG/AfOYn11UWN6P459VYkY+F1NLOzyLEDxcqA0P0F8zTUaOTF0Hs9FUg6BQ7Pw6M981HHOIs8AvPbtc0KPRrS7HP0++6DfAwH3KVvDZ/4+pc9tuVUfW8CtxMBnTl8EgMDZyEDqA7gB5hIDAxCY25ul3Kd1O74sec61eMzFG0l/fL5WqiK6H2Va9vTadcmgn2xpIkoGdo/GndULN5vA0vQYm4DgFNJwC98lN1fcPEf71NbufA/5lclZSCxcU5p4Y/bjp08XkoAqdgBaiE0U4IQh8ipWsjN2WxvQCCZJnEy7zWSc7ZeGSht4PdpPT0UE7aSWpor0rYiCVmL3iF6rD5MjYPKcBquiw3ZO1leBlIHZ8PmG+zvxr6+aDh09IW3SYRoGSWRX8A/zfRuqLpVw1pUN7xyzbVAEzdSE60Addm9yCDq2VzV8aFaZ965wZHg+mJh1lLnW1qNgWw/NbKjbn88t3JmzTDh64ZFqBCTYsujh0bQcytj8kCEGRMSwvHNTanGsnpxLiRdoRXenkfh5eNe5udxLBOsxn9xyoE3yPWFl7Ux9BiEjar5gOq+2bMa3PA3fYiL/zQmfmTDEvJlKDhjRDZjFTeyKWuRo12HlOYPzN/a+HyT953a0gUbrSjgww57ipqVqO5XruZ0Gjx5VZS4pXmZwiGZ0DnGKqY1M/sjT9hyx0pM50T53JO9oQZIL9Bp71yJDKBFOX2sIBaL3xNK/6Nmlua3g+9QZzw2cFzlOTA7fiUPScNSPoW4djiAPVKeofwJWgT9prVn/J7d95HZwQSjFiLrAIYSF7NgEewcPysuMtc0lZ9t5rzlsQiXIRem+59k+m/ogs/PisEeibDYC1ENqBpwuwW0czOUXzLme4w+veIggFxNTRQO/mbhE4ZBuVPbkpe6LgGb5VuIy1gyhodvzKqSjp+wJsdJEidY+2ObdQBRX4q1x1XkWm1pEfQWwgrEAnOSbARu13Njzsw3MueK+PsuepAt9DwzlRz3lKY5yKiI/AIcBKCcSCV+7BzHKLE/BURxluVoxa8ALgJQK1M/V5Mf10697U5f50YJ145059qfjiQrzfAH+YmiZvuGh7TslPBiSXOfMe2/4VDxvX9GMR+fZ5WNuXX36yvlyaITnmvW2fwt8a66lE6JbRxikFkdnXP6Bc8A987yjWeGcYs7xvH8Dty1mrisbvK1mVWYecCD4CR8K71vEpXCDusg3/X18YU0uXik56mC0b7KZP0Hm/6j3UdMBwY2ZXti+xRQqIO/BFkhZ34QOcwalZM/B6s310ZVwzW9YRW0/xZKUFduqBy2ywHiqcvTPE7tdZG3yf1OSI1fZ0lJF3VStqK7fFp/gC/IGjsriAP5i9zFGktMjE+9RNV66b3gOU1P7BbsBZ+EHttEQM7VcO8ZDZU0IdFTXR9g5w9MrFeua/ucJ6R0ZYi+ICMRIH3OxXOwtTphdGrHa55rzSJpPKi1jfdvA34Pt8enS31eDzH4TyA+n7Z91xKQJ9rNjGLYdlaWCWnwscvHSDB+9XEoF/cfA+gznfUB+4YmOfQ05VvxzxMJVnoUbQY7uiujvHxNy3ckn3m/u4lkNvZfA7VaRXPui7sqUPvxN0zNRWb1fuyFe+zd7wQmlBXNb9k3K9z8YW5aE9HJ/zR6PlYtq3m/v+2Uo+MqHsZoQVCiEqG0A7VpLWNrqXX7DG+8nLO3lIezv6vR/WyUS5n+uJTa87WW5a+C13cWrOU9jz9wzZAc9wrBF+MzWNK00matlfjPo78E3wJrcoG5OWIV3yGKOMEi058rjJEaWfm9TSqOz8RzXiQIU8Yf3r3OG2lGv7Ddp+wL19Ak29m5tx2OXXnEmL0Mx4i/loTSsTmZUK7JUr96rVF+BP92dTWzKSpzwmHGIFeO+WiqB/psV0KplG5m4ejW4vnX9Uzgw6pG+5sCsetG8sWvycTz7MvWdd6IF3yY4NBOURPEefMNCquxB8l4/YA239qt0euJ98/96ND2SG18TcfQtlLPtT4I8ModfdQFOP9VoPlwW4qMJd+wZe3YZ1dq/hOXn/72FywUvxeKTwz8BnV1H0zn9zVWnOdQ7zfuSx/8X67XfaJz95NLO0427GyyV31Ifpi/baMz/FzJLh9grL8SbRJ8RawiC+ZzUoLMQOU8/+ci4miW2YY4g5lbVfGVc7pWFpA8vD+455gWYCsyd1tuQ8XJ7gXboq6jfU2ebKQa/8DbuyGrsckx0YAAfWUAihwTtFtl0h8LJOsj9Y/E4H9V3pyeJMfgmWHFOHbHjIT2xACTV3YDm+nIqL0aO4BCYjA0bAffQ8otXUjH3NjeMK3kLLVLLZlCHwz6MEXWgtvJI21ca/TZnJwWZrCR6R+9LZLHyUtirKR4rITcRtlrOtPrqNR0WSU0da+LlN65g7qTOfTqH1Ypu7tFHfrOSnHjCuOfJri//QLnRgxhZqfIf5AF4USSe1lWvuFDaUD9mvf9Fd1qnpsOqQu+jaBK3LnvMBuKXFwrPynnycqf+G4Rv897PA0WoH5nQmR+nkAb6nQXolIXJIzNbDWl7Bp5vaAgvMj7vS6XoS3hvMrb1EkzwzeapiP67zuUoFh9HQBQEPWPXtF8St07kjZg/ptX/oAHM+SASOKjR3u9ueFe2ThPMbt+zE1NKA2DiraNumvTJnlbuqbx5pZO5Wh1458AhizfMctyiz8XfZ4fBgATU7m5XFJAdNMbkqrzyiB+jnj3KnXeOSqYq2NmPkVEfqq9lte8MMAnhZmjoMw6fLC/Iwd2KbYXvIXCzMXgUf4Xc6ENUHPqe9vJy4JLA2uSpwlHNZ5M5fTfgOj7hoXNBNC3R4sGXTb5+s4D6DuX3W76CnSZBrvKOBNHn7j0y3EQfuBb5BZ8a/aqQvJcWbnL7fcTgVZJQPGk5WbaEw09O3cv7yHLR0thTeP8+EDsmqEbzv6SzsgyqIlODyamvipDCu1d+fh/koCvydIlMfxNRQ35t8F5ifJn8gmcmwIMmVYAN+o+5kU2BLiM2vMynNQj6BjwZNUjAWoQMx7g7/HfhTt8RpE6mz5STKZ/X12+9hwHZipeP0Va2fhp8DIPYkd1Cc5tsbYWgA7yCajl1z+qv5Wdpvk9fcyC0pBSofJyHt1EEQX/QTvIiXWf/RAfA/ps7ykQAzS2F6qinTp3NzihILWCpkFkcwzi34gITY5HC0fuvgPrLnvDnl26im+uPlv0wdRhi/I7V6m8c6ajjbqE4ec4pnNWAqRoK53VoVzFhYv1cutqSk5Jitskj1ZSWi3cNKzGBMM+APDVoXCYrJKU4+VL49Ct789SZQYrkTrZ3KaQ8HS2KOJoYLkmbWNHGIWTL+9HJbbc6cT6Y3pQwvFot9u3RmnzrzmolmA/HHz1xuxvyGi2k9m55Mw5w0K/c5bV8MsIpojoCzd8AnleHIo9P6EJf1bx9UlEQQ348QbyaIe5ybvS3xzzmu4CmGDHxY+9Gw25UOZDo4nq0s/QDOT9LRl6khGlM7333VTZ2zzPiMaHZqhLxG+2XJSan624OL5UP2+03q6vs58lzSzxs2AuM6Hm6G5ZuKx5KiCSKo8mHeLwTGLaP6REMgWYTu4A2SdIW1wl59YWZWOtOP1P4bGX23EVuWdyoAZr6mz61bjpfN0X6HWcLuJ4HlOb+52LIsFmibDGo+BYnFulbTwc4kuqzN1/YO+uudw2VQrk9PVAdC4D+2Ab9Ygha2qiNdOixYxNNP7eL2YGlJXIAa5D9PLHtkAy9PcfsNc5mXFjZ9aaS5fyJtXOZMXVNLttnX9ngK2vyMQtPvAv57Qoj76u9w29SGKXt7Odjvz2r0MxUndzkkoN3JtQK2pZHqwM4fcJBdJbjCisHKft6uwNeBzP+559CjmdV+N1TdmTXTfNUnWEcReIdDGqWPsv/bt4F5Bt540KXSJp8l+SqdpcyAD2uhD+DZURNPGfx9nxdTTgN1LJ8zgznKcjHFgrcedTCSPb6xQqf1SGA8EzvtZx/W6Fsp1MfBwa8zjr5y34Ex5aEGf5MNn5Z02hbiQFgKj58KvwR/lMswcSsxXUFjuOCh1QiNKfhDWHf6t8Ya+rR/zzPR3k5hsjYOb81da+BFK7XK1/q6mzpnoOszzNUo7/hEEfHLIn1AXO2FuDzT6NNqtNm19zj87AeOk/5E/aK0ZZDaSDQW8RXCUrl6II6yJJVvlV3a4Md01k8B+LjXXRiT82rTqP3JbGZlPcensPXBV8G6ICdYh1813YNv4kGpk0Md4wWH1gP861u94g7s+h20vEoZTrIeJ3WYro3tm36CLjXPwPkGGOJ1DvsFmrlrELLqXnlpSKqaTzNnqSMQvAeu/HJQBTy7uRuFs2H6PndJjINWmz2j3z2FSFUQBfakMH3h5IcIUufEbPCfZHO0DL//9YVZzT3ccpSm3jEm8eSQyOwnbSPulk8M/AkcEhxd4DpnO5aObfIuv5sVuG+UuambcxK96WU1HB3+q92y803NevdM8c95nJiM+78aXKyQph7bLbPwDnx6n4nJtLMH0SW2Wvk3GUFfGXgWBiwnTJ2uRFZjElQ6u+fWMkmh+ny4rFU0VzhEVMHaLzn6ORftve7xI+f49VkRXfkV2GQ1dYGwbq481FWjLw9z244FPvyJPOUmPRvlTa3+T8r9Ay7wlbOJcIjLubVFSssks7YwZ/QPrJs37CIqhnmkEcShgb9yRZzsuR3Bnw7EBY2xVQ7zlShnBjYlBR20pmw+paF9Ja6pbSPfcqT2YkhSWHkbWJNfqenxZ7E7duagEUuS27IrV2Wl3KxvmUvnL7cnkcH7IxekKOl+yXsdZI79dS70SIbHQqLPpaZJVPam7gTh5XN7OlFl8vy+gNmPB7d9K/vbQph9VKj1MnOfqZ9bZtkP8pxdIj4hyvG/u4FmHwPiU2B6kZcMnpDBZ1jzRExf2hFeU8F30vRMY2oB7ts1PS8qU5ciQOBDN1fQnQOLNRAHvmDQwYz1NvCnrIf9vaJ8V/bJ64xjJwolDpY9V316r3r1c1z9XJn6X0FzJQj4Csb63Jvefao/6+QDNBbW9x6eLlmxzZOGYWAbfw+8e1Fd5tQRu0uXfNQ6u9JCDixK/s6yJUI/clDy6PIA1hn4mssDCzmKaPlvrwLdN2IqwLoVjf35yPgExEkelPFL1eMD+f2zfMI6P4KnyskAn+PoVWlgcSan6v/d46is3/twPumwR2Mg+1W3+UCAgZDp1XJQETfnNIw79rXspZ+OpM+LJM/5ftNE3rUpkhI8+S1nzIX4vGM8Mf0ffVG0UW0RUQn5qj/fk37a5RyB+QRf6KSLpKWVu+/Pg81J3mNdw1iYfqi1TXg1AsM851yEbZja/u5gw1oQXlw5EtzFksgI7ShP4tpK7iVPDqSXB+48XvtsPKctVqaLi6Pn1MY/VZHaYphK42ub8X2piuRCxNyfwJexfkogTvXw7BO2e/scyK8MOEzls8QofYCPLpp+griFNpmrIsE+PUL5Kx/AhxAQAn/fqgJ/wbO6R0vmOUuvDcysGk15qWVbIZLwoT2qYrJzBD4XYnLNph/yW1PGN3eM3jKuLBX298yZeWbOYLpyQ3/7WpC/2hHUSnagkxf1333OgzNZ2MGl0VI2yFVGiSb23pI8+TE5SmmMbkT81gf4kTS91pozIn7zAmGBILPfcEshcoNHtdXQFg1NXvuHbaM/DYPZErVl+vy3gCfl9WD6FnNxpkYf7ZIGofd7B7VXVk3xF2h3ShjWrFN92k/3c3yxStvfg1c/nqMJVVQPJqeyCUFXQvX9t6cXcb+KNWI2L+lgzvtxdw7lTzkAcbnEB18zg27/gGcqDI9WLnAuWxzseCPwdURDFEsLsYomSdqnwP7oVFrTkXZ+TkZm5/zPp3ykIb81IXyOJTemlnNlT8es2D/IsA0bV3l5jGM1ElhOpp+edKSGWSkSpzHnzGO4Mocfctf/ORW4rwo9YGu+0Zhk2LFc039YRf1fnkOq+2vdhdfz4CXwOzDT0uR3bXIB/pAtfR7qgMaXZxNKT8ZSkPCfRSM7qKM2ImwWlev7ubNMTYATrNugDtGRDTP4FN6RInTY/2rcHaoIP0lP8sruLba2jK/kCyLjhMEnZWO28tU/VJz48CcWYvElwixjBNy+DXpEEKylCKZEnkbA9jpc4M8HhzhPClzBe7gCP/6vlo4zT9RWsRByOcfp5mBj0VDNpO1fTwhHTSA98Ky0Ce0fybwncf29Mmcv+RxWFvpgLOlLwZ5k4Bs6AnuCTzzlwI9MpadCxebuyusMMevn4xnhRIrymneasAhrEV6eOW2e1fp+hzk316HemXidx62Hnd87c6npRQlE+4Ft9EXyLcacBAdbrmW/HYADPvLfHor92ji3zZ/OR8BBq+KS+qe8I195h/YQFy8KcUAJZDMYQ9Fvzb7s5oz2Lni1L8Uu97NILox+WuCNe2bu/QrPK0fuVrwtqsL0NlGLHLBD47+an1fwSaGINcm7xKeh3BMLr9KeCLHxpe45qdjW1LQ/gGaCdyYteFJJLV0RRnamRx21fXwC3wDjuSedLLOB/HDwvxhNSd6rqKTta98GlB841OGhGNW+6bfdKcKyGRj4xSkkzr+Fu+gE8deSMXnDX/ONMUxAM1KiCXA7cK6L+3xlJlfChTGOq0AWeGzTs55kTfnaWK9YeTM1yO060izr9i7r51mwhJue0VzMp5wmRbVq+E7JM+/avl794zlEMu3wnTLcsv4TfB54sUDH4F0RCfzV9A86I7PXlIy5hTZ18VejdYQ5uFQdPp7Y56O2NpYEnsmYqdu4v1YDOtWOpOdhnil40zQyvXDaHYR5S3BVQbz+1TRTZ7BmdlitfBLIBy7ksem/gi3kUaFee5W/Oepp6DlmP5rAs5RUr0DKFsTrUVqcCLY3ucF3MrYd1/4DVvN3xrjfIDnIoL+nLvlSOjW5/akQ6LeXOu7TZz5sbVCZW+nKV22WN1gLpi9Zlzp7eA72LHtzzyNd1CAv/6l7uU0weDwSNxtKYfQBBuqxXCEur/D/XYkg4D8TSUPg5F7av32JrIcnOCpLC63Z8MdsjoxwVVG/yoEnFLBjaS1F42xBX7dTHU0zPO7Kg9Yp4f2C7iXVMF/yInvkPa84s79PQhZ1BFoUE6pif5+OOGx0+gSmlBVFVI7+69zhUTHrWjl2YDxPXZg7BuhAvuafVCyxKvARxttPxZxijosT+J0z0z8Ze2ykzf1zhEv43h2m/pfMb4/aaWxTSc70esqKxK+HbQ5j+tJeIMJ/VzHwPA/Ka7qivHasB4tseR7+ga6ldzFsnrW1dVOEZzaSWcR+WYuH1YSfXt4v3gmicKW1DWvhkQl+yRG+Ya3FOd/qmpUe6fHrfBniAcrJ2i9SaFe5qAcGckHP7RNrn7XGgUSN01AOmje58H78ks3Xo63hPWHS9MBfcfgkbEEQR2LZKWBCgkF/JdZoYoJkzJpe+6LAXGqX95cN7TFwiH8jCJ9yRy1lz3lFiW5g8mWu7+A+Gepuf+crW3NqqqLortF70Pb0erS2i8kHMDVrVKcCsduONEhSvGLM3OmVt+wrO1lAY5e6b4GmSEnMfXG7fLAOmKrjWJl64lyfWCSd3CamX2huWIb06gOLz03+9d++rzS5UAE+ot8C+yvedPsVfEpSC++lh5xQ3NKOs7JfdqCHwKUtzVxgWFPHp1fHyk7a/zCdLY/ObBPtg8dFq+khDS76yiPreQKbnVHuqoD81AX/wmKes0Ge8n77Bvr7Wl9d03FzpmFqSz0VV20dgF5EM6HC9uWatIK14KM8Dn92eajuYuQ2o35ehW1paivWEXoC04BPQHFDUW6qSKoQlaCxlojMXRJMXh5WWp+mB4OpC/GR9wi+Q2rub54Y1ft0fbfrzu/g3RXC9M2K5BNi/p2L8AHcGFBHoWbcP8Xoc6x5cgr5dybQWjkkLLlkOSJ5Y6GXzn+XK4H4JBMVTzcOUS7tII717VsdJw/O2SbXyZr30qs7NIihdwXNbIhtEbNUm3fcKUXowVx/A6aOccctk7vL4ZNNDp+pyyTE/3KWStBAWaCYOJrXbOnAJ+yrAv73nDd83btq1W7JvEna+kMW6qMeQe1o+8VQv567FtemtonYlqCXnDvY9K//qBE3e5J5JbSAOfy/vJRAmv5ToCmz/98eaqZX5v73LtJu+9/+npfHifu6Gs2OpNpwa/LMmZ8SMoX4cUxNfVgaPk6gDLn+hO/GwQwCt/amT9HjtW8jUj4V56gH/eUJidgKDvNeDt7hTNuVReW1hPVk9igyiHmmvznwJ2b5/CZGWPPIz4AXeR5t7kcrAe85uwdYmyfB92kECBMttLbTF2+8gT/T4Gn73E49GGebMiIhbm1YaO7ATJnsZIt5Aj6CO7UrMy7aghb7VYBXOa7gzYYlouP0LJ0JYuc2T5n6KanZh0AlZQu4zr+cJR+IkWLL1C/17pzy0vSjhHFdDg75gHCU8Qj029RRdpavyvTS6Ik5o700XXOXQZJJ1rvm7sdJJEdT+5dHpieg9yOFbaki81Le0r+zUYqONUJMMNmy7v1xZlKkEfAFQzDXQSsESc5Uw/hATO+lSQQJz2yiZ9NzIpwONMIml9sW7GbnY++VKzb1ia95/s9lwKvgTV9eL8zt8JkV5J7byalh3jXLbwvw5UgCZDwKEEC74jGJssE+MGdrmdwFUsigcsIVfPZB0v6OQ/RzsPipcfSdCYRh7XznhbxkjlcenfaVf3injj0cHX09xaC//PMO/GX6BHvUfb/nsdF9Ph3dNih7Uph7jKD5SxUqO+t1mjmX5WBN99JGx+NzW4GfCYHZbRHaPvyzDZ8HvvYvPyoRox5oIMGLmLyLhIL+mZ5GDDxdVNFsPUV2no08FUCrEjy58dOgx6tcQdrWDBhh7mjAw9RRMud+lIeeL2MdSoddcZA9z6H9ynMoqliicwxxqWCOKMjYaB6XQnZYPB6ml1WppwxiJKJIYdCfglr2Qgb4TKY2qbV3sqFtzT1tNrQhcCsivLXobv45R+RYOjdP6Vf/r/mDr+hSWRubAnmfKC5Sx+S5lGsqVC+dLXwndGdj6FCtlrTgPKPvCxPWwobLolbl1xShymnfWJHsmGiv2bBca0sx8LDXBjwocfUrVrZpPud5n/AUqSkXc8TE757fQnsNftEuqpCclB26aYAvIlQuHfUCTvguQ7VTY7+hQ/shHXRsimYDn/XIKLrUKzCjO/XYUlZZ4Nf+hg2xdJMXzC3NXnz0sLktf/O+6sFOcqHcnJKermoHzLhg0zs12nJBk5O5k6TGZDa7rphP/REitzI1nKL+WerEInZyLXX42/vgldtDguyOHekcQNNAI3pgWtN3boFYgLKez+dwjnEEDi+a7icO75FLDuwmJOhYOmR3qbHIV9Sr59Y5B+CF4+xJgP2Uub/qtOZexmt/w4Xfs8FsOrFQW6fd9lKzx53HmIImVeB7cCOmruq9qBz0ru7ax5nC1x2TfaOnI1t1X9t+lwbtAQfKOgUhfDYQjlUCZ5UuCfANHvyVi1WCPhTc8hzgjbnizVI5fBbGA7l6YgWaBS2fhPsB6KCpDQeaHG4aYfw/MfXNylOUuFWoW2XxnNF3qx5aK2efDnhK0/91gyP9YjZSjtMH7t43JEi08Y/MWW6//awGeA8jSTKhyTmfy5It4ynUMN6JI8LsnjsEsU4t+ep/KWdv18xDeazLygofsiBR2euW2NlG6b9cLBvWLcQ4Dc+OnxVwUhonQeaowtR/hrdwyG0MLCyrrP89ewq47feU+13tEJirKqSj2omeLCV4GwrOiBTKapx/z8pRKXh9h//dJ5o/8ny+Vv2cMIjlJ07MvcY92IMxXdtTSnUEnHKXnZ6biMTARTYzdcYHrmkAzjeWhxOw/Cku7yScSDq2ujLVXcD/1wU5lV3mEJG+zrIhNnAr6/BOBYjLgS/nrxn8d4JAI6YcoRKeOQFfeTys7N4wuYG1dK9Q0kKcCoDc93IlGddtmIpJAkf+NIGKT8j31XN+ylG62Fr+vF4aJjbMiw1Brz6LiQ0MFzQR2me6FVw8VhLOOuUIUIfcZJy058CXJcMflL6behoJj5CUkXoAIVLw8wMd5p+KlRsY0wgz8soxuwKHlo1LgPdRVAfZo7L0IQPGJCEi1NxjZjxkVmh6bkfwXYWp7Z2Nfgxz+3hmSwn8HxL473XotRwl36DxOXNRkXcEPgs8Sb+8NCrJ+tKSFobx5k8+gnpwYEDdHjHFxyoKrczdb/Bg6tKnS+Ngi6wI5jRiZ44rbqVLzWHWWryoLbSrn7Oszb5GrwdW8A9F5VWI/+1HsThdqdhOlCf5Odo7pJgc5SS5ub9YFXvwOYtfUjyAnzyVI4f5jkRmTw/eYwjp8pjr3/sJP00E89SxQyAnN+v38Dv+eYSDP2WvGv4zKxlqpcDfmG3JuUuvKppE3ukA25MH+mr6se5IBJ7ZOH3QHdmb/WgPgdeZj450a1hftMPhuePXdPgPH+LdnFUDh1cuhem983cvIOK6HmGMR/nEX3NmcjgETAMh2jvEy30e8k6N0xWeZagR+JlR2xWaRtBlmyD5lAEpYU4RFv72I5qI0zLQzu+Du19Mr9nj899f34rzQGwceqaH572CeJc+54R0oakPXJq+B4QZ9rSp5H6p4ubOTL8B5O8rG1ZZLIcqaG3gf2AOT9QhcNOw7aldXqW7B78Jzx/+9Xjy+Ai+2556NiSXJno4tJ+/WZTENSOH1G4/SAhcVqgUtD1mz7k4oykwtSbOgbxJwWNalJ7Qym7cvZX2+0c5+vkp+jQ9DtzaWgLGvNc5LLDWxhYBeuLAn4B7wjxubzjk5tboprYYrAF0yGiSpTG/1J0iea+vhN2AubF/sDPnaENM0Ko700+vCT2Gv7asceWzGRBNuX8k6P11Rh80Mb5la/gQA3uYPUMSgK/T8ruK+aB67GOEg7OeaGqX8F5bWHOyzbTCwEDxOWpJPXCSB0SSNXlWQmms8cnUgErDT6saYK068+v8y4J4vWSOlnQ09dnAH1i3p0Dvpl8dyV0+1tYcQTx55I6N0ii7EvDn4Ak90um9DLKriN8dYGpYLxuncrxLBTFG6cb0E4tMja2a/e059JlOzP0GbM7HIEaAOoJGj6FbwvpQDh9lwLsc8ZNEKDrY7QV3ygfWJKzQuuKaV5aa6rD3zkEJ65b8Jz97sJGgZK14kuBheuXcEl5MGNYmkZSYet3/7Qm6f/LdDHFjCdNRr6yYYD6mpoZ6KcOlywofV86SAidYNehT5iYxxKUkdWAFuPpHuuqL2cm+dsDn9rdXTLlKazmWa3MHbm3BJ5BylWVuIcnc9sFiBfEcPP6o/RNLrcrql8ZOfFhzsYBVBP5zzWyNZIg8wTjOLT6Czlxw1O6qwIynh6jAL0/kVn2yqpB8wXfwMxv9VANJaJCtuSN3wIP0LJa+drYBZ3MgRhKaO23wfA+8YggKmoK/GGv4/FK0Xw1SgakdStFkaria2tugCfqlUReKNAV2TbiF4Tsq8Af6VlqfDyX4D2ji5jxKUmvghNXUR/ctiOIw5wg9h/82RxstJJCwDvbPauUbTttbqQnCsd4frH8PGvEe+Pd17nBPiylXTI7At0seohZ8fyIRsYnYno5Wdq+6dxtb+Jt3ragCHlcFfuOgf5i2E+9tZvYnZeRJiAMPFS5zPmiprO2zYfMdfFucjeqvLydwpsmd3Zs737mpj6N5CvELE5Tdy24P/p/Beld+xk1fs8yhwIHmTqrIt5EA+yq/5h4/t+txTT4a3bIUZQ/jIVgI8bdDFv27u3S7NjYxvcvMfq65U3Ah1qd1cOQPzuev40pciOIODrWpCWmqqosadLfq7T2w764Ktz8k0ru8Y+4pRGZt7wh8XoVID2twX2nsEuevD117cLZjjnRcmjuZ8d4GBpRNOGcqWhjM6bd6WO4iBL0CBjz3DzvPb4/MnYK6S7QqeA5+6AQ+ZiUx0MUwZzLC342VBBBB7+C4SWb97z4RtfeetPWNBux+dPnv3UDTI0tFhAHLuk1XLiTceMCQiwLdqfMtl/HFovAu5JiEYpgsWJ9mzJ4pADpn9h08aYuj5pmGsD5D/Tq7iamYYjV4udnDLx31zMbSw4GOapvZ4GFBp7SVWdiXzg202PSP8xEbdMht3B5XGeeO6XNsP8G/eXhFX+CrERfLU2o1VaD5dSBfe0S7E5eaCvsIcduTnd/XHK2c9dfM9LiDwAocdjvavvGnb6WYb3l0eQrK7qZeB4W4fHDsL8bAOVO/Eog8U9T64IljCnzPTb62Tl/3v555yOyy6B81g5g/tk++9l62EpFZiIFPvqWwlqRG3cExZw/SnNeD5wGfwib6nxo485R1sK5o6AJTTQ3du6nYhtySU21f3LzPXvWIwAv+s2G8UtUvKxfpI9NSYta6NJzomdmmJwAjw/akCpzkQ7KwPnw23NSbRTcm9ptM87ECXaYUx9KeWtBpXK8h6C7asV5+Mxv/9eVsgJBKV1MZT3cV3Z5nk5veJbFccScCPJTulJ2//t0bjW5yAP8UTy4wxxvMTfp7F9rsTXENa1lXZ2BTbPuBQuAxGXpgzTYk/rtT7Obh9pANkosCJRC/NaPyi/d7W63Mzl3wf2NCmfMPPKx+cg0qaAGjWsTUtGzBI5OGIvD3ukuFXmprW4rBi1QEYx7zPbAVbuhfLVPw/ujWINNJiBMeoj0f8J5xHR6e2x/c29+C4gsO7fhVAyNFU8wGO6D5rE3dDOyAvuRbJ+1ULh2+b5wE1jXZncBbmLztnC0vv1wc19CBZ/xWED9hvqETg/hdkKUacH7ebe91OD9qCyKSgMizm83N9TezF3WwtjdMmc2Mj9TtnZuaRzY5ZhodqQWaDzpu8ukrZ/OKy1+ngu/hnejMkXFl69M5Qn7K1Z2aPSeYFYe1vaSDJnn0D36u8XIUPtSIeohlrrmrK3azDZrC1WBZB3fqciavMCdXMZAJaPCZR6/6bDOCGBKqftZMc1irkmHt38F/XQht3Wx990rQKer2DzpOpqbol+ECLnhycKxrHvFWAm+k1F8a8A2gB8WZYUzD7XIOb5YUsqzjv9p9H8Dbi2EdiHsF6dnT1DXDunyofkpgvnKTc8Esk0+SesCDwAVzSAbLliKJUnO2be60WgvoEt7X4JnpiEYytE9StAu2gI/z+TVeQw0+wPTAaYZE5Jwjc3++FonMA1lUoG/1SOITqDCPQhuYtKvBN2du6WLwzKDtKXYnNxMbt7L3Kw6Zm7olxAwMLMhHYMdN4/ztfX2nEA8yZ7snbG8Jc8IPawmDhyD9v1WO3GURcG0vwYYpSwzgUZytMHfPm5V8UFHezwPw2ap+jpb6MRqnYt2q3daDz7n+t67My3+t2YASk/9AQvkmi9BlTLnMQeC7+F6wxgEfk4oYvF8hZ+ASAW74mhUpxAv2qMPFT3vum7wJqpPLuZcTRftnVnzeK7aNgOsflP7l9oDmkCJjXqicNlCj/wP84xPeTkqghY7+ArwkFfAy+FiIsXvT697Knd6pATuAcvMcvCqLM68G3aiopmQ375nTAv+0mRLbHPju1WPXBb4tTB24U4hJJuYnG9trGktZBeDU7VbU+ZzIUD5UrIClNg61003mkh1lpnumHEuagF4tRS4mzgZwqJHsWXGB5wHvMiwPQKHXOZEHnoCcEDliLUnKk571yvDKB44wxL35SwXlBta66ePDpfv+kAHuK31xJAN+7OcDM2wSqjCPpksK8f0cyzAF74VdXMAaTxV/1SK4XeVuTvFua/or26doup1ibPp4eyQK7+mKfvfG1Gjqy1hWFW3xSZi9Bv3NXRSxAr1hNF0OlnJEnNxSK/s9Wy0d5pbW9us8tpvqf3nmvSxwIYX3wIPpl6Qxj6fNOUywYP/u590NYjPOBCdXRUmWm7rztr4w0y+609dKeP15QD2siY0584A4J0+MrGV+M2fL33UkE1PT4/VZ1AFPJOy5iv0kRxC6LN2rtSXnOEkqpzXnTRTiMzO9OAhoJf/tPe1/m1ssolc+BT0Fz7tKmydZr72jhSplKVMfH2fW8m12h//7WZgD82I3GRqtTf2s7ExRpALmNo7OzN3G89h7MHLPaje/kRDn6ahEXvDM5IfytfSAl1G+wvceFiLFkmUOzD9bfgBzHlLr8aiG/8Vl+bXty4FgHKE9W3uHU0RrB3Q12tulNb2BF7xSeEcKtWFjYcksFVVx6KXRdsOeNxtH9jVH766M94/U9Imxkw7G/5HSllS8XKuRvXTeh3f2fQrn6MSS5bT7B1ycfNTD5UnBo8Dcy/II4nyP7iRiC3nOe3CE9xPbfoN/9dgA7GaB5kSpc3TICOTqqGG7/NaicLA24y8i/cqRXuDfDxCvp2yA+RHxjAV4hykKWaBAvUiBo2QnR/2f80+hfcVQkIYPG/S8O7rkJLgOqGWKrZVXPOofICGPxmSSISnN3ozJ4X3tfWHgwDrwYca3OxEmVsbVN3hwqbo2ELH+qW2CmcOn0k4+QM+BcwlqQuKIkHf8t5dwEpzjNgI+cqVNCAPayhmMJeMwHFNA2fzaq5xyyyYKyTvVOpcreJuoBZYEzwO+jzC0yUOFzV4WzPIltVVMhynHLjLns8nBZk6ufcqQbMG3eNhBRc5RTpg5d5zflN1bpWW/9vT2FSOd5HhfDbzP+hnWYLpAXKeS7a8i4CuB+VaBvp4KvFRMgt6yhQpyBH82i3AWZfEOvi9bYRgSwtqlEXjMmPzOeGLm7uEUTq87CE9mLTzXwJXPbS+fNwcQ4gmfPUlngvElwXkweRXpo3Evy7n/NPdNVsqyzdG5uDXlH8B0H+eRp8QxPk7fJfh/JtTecM/R+vy9//yXt4z8Hx4pl/ZkSG3uUkZ8HmRPw/kkSkx9ZUmc9pFZ3Gf51schOmSMszSa1izfnlKEEXfDJTV9d1x/AD8XVxrm4X/q3HoivP3Vj8q5LEWQPvi4d/EqjxXSpan7BV6HZTQ51Q5ieffuVRScmuMBE/Dvmt02xOVhDfGAWDInsNwOq3RYv73Dz1BaMNNzrlTaP0jevvLnfdAWlEazn1ukVdHFIVEbkN7ucrHdVKFqlYWAndtjHZj6VBo1HYpMJ8sToKsUjenlE5O+5aCpXyfTfC5qn+UAusKWPOXTzyn+y4E5VYUK66BZ1dfM8DAHTQhrSIcb8Iu86sl36aAMtCmFmLxCjDS9EZ+VKcDRo7fUbvcV6FP9BP0JZwbx1ieWHeWiX5jQ7hk1juk7/9ojysG/ZKOp0T9xMfxzeWHquPIe/JYNfgri4MPUgdsB011P7HYHyrmlw/wweYrArBnr9b5c+aCsxgVfE2OnBeZX8vCcuxq9W7AuX7V0TE3LNF+1xcb9Q8LUzq3wqjRKTzvghd+ehXg4wBw8BZyqSLrcSe+HFcG7mfBxbcMcxl6Epv4c36kO77nWKY3wIxW9xzWwDHjnF2PnYgGtnp8E5pQKl1/uMfyj+n9e7VguK0Bvdv/sfIB/pn6Ge+AjMJLnMckbtnyYusQMJjO2LubU4iEt/kEj7wI6j2uB8sZ+3fGZc8V5cB4vj8PKXFWgHQ+nB7eRzxG6ml5TFOhXBMmS0uQBDCnZYM63pAaPQsFjOaXGuu7aZw3fJSsQIdR/0tDriFjAt5gzrNd+7zw3DOl84EM5tAhYfn8WF4s5+JiJ5YhDXBEbXRmMdWk1Vs6BtYf9At6JKpsfz/0N4g0xZ28BrJU5s2zQNJwpN7UOzvajit9t8F+v+lE/dQxs4qR29QX+iKKSBuDPnN+zso6F9ltWKNNLGPRphpioy9oxvLVZTkL2MB/1GdjhP/V+ZQnj9etrgEtbzNsQeOkAXv7Va2zFoHhHp1xPDEFMfbgKnhgP4QKeAyw6L8pC+Yz7RPKpTR2yLx25OXeoa5jszj08y9j23P7de+HwfKlibUS68A48L5vf3sfpS6OmM0PJKXwAh0ty4n5mejFX0dzBqwXf88+qY2Dgjp9opE6iaO26t20z75XONiUtYX0kGxnzUsTcoRw7nKsdNrRvK5jX8ou4n/+rb+Mg8I2g2862VRzZ0kUJMLtv+omlLDmwVX6bu7WgHcvRIhCb/jngUUeC1C5jmDbCi8FHwZr7d62pubedFCcGrzzeO1zzKS/UyxPNrNNLRfGjstSFszZp0Puz7PgH8AnENvA4FLxPj1DVaw7rPeYFvwM7wzOY3z+PdZjYkiNTZ8HlUf+EZyy4Qwj8/eQ8ZNeG+3+1PqpBHnGcODBeKXiISArb5GTnZ+3/gFbZvJD+eVT7HLic9tw7w0cqvX9isTxK8DwK4iPwSn98zn7KfmvzXsw58CmfgdnarHb++rWFoNOXXPOk2f0DncPHUmv623905BCDSGzOP0BXQ3DMKA/e3fOoAzL24I+3R9YvT9VvUe5O4FnRXXHpESv9zemnvVee+9IyddBf8Qvr1pKdfsJzSGV5wCjYOlrLZOrsm3yZesWLdKz16Gyc8ved7B+4ax9KtGsDgbbql0O5SpEPoLMuxC0XT2mRPeoBF9zGR2CGVw2Tp+Lhymy/TV0C/oVfTSWjPOSL0SLy2z+ZV5WtKPjXNXv+e+IOf2Gqn6Lwj6kdPlVk2zAXgnJAH+fBcCN5ph26lNZlo8Qyn4EVX/k2RPsSm97Nlmep0AvK/vOphqSqbf8bDyRtePuVj77TOKGXR/iNu5hS+OQ0xC2J/SFzbAl+bwM6mjGtjmBA78Bf4PfDa2rD/BF/eeZxzTg697zMimTPn9u9DJclK7QUIwryqB2ar/nehKrIusatufJriInS8VzwKkfCwmvOyEk951Fw8HEQ95VlzhGBD9zLBvjvxDl55fa4OfN21TiFyvV5Hm79ozWbPFckoqnkhS9Z3+5LW2XSxj9CI4pt2ZaDpDxoPPY1cyDdHXjcSxpOvLIwrBu9y0x9XSZzYBwns+YXz3vS2i6wJp2zqUVgtYh1EvwEs1Jn+oHvSeH3ZKcwe4I+T+dClRmXoFtty03PLptEFHgYu8o52NKqxfyTCQK6h9HRUTCeQKcBf61lLgrTh1itmU5+auvhZJQcGzaVuLcHinQii8YT0XxSY3LHHbFroCLgMLuK5F456YI7Dh5Kv5XwnKZ+b223b9jskay9S3V4ZdHfXZgRfD+uhn9WOqIrxNa20oAptJWKf7o4aAsT1WBuleCdShiXH1wAF6J3jzK8I2PmlR0Za1d2db415/Ia2GPhI1pl73XweyCmy7+6IiXESZNnD556qFf/rfntZ6Dt1Nk71E0W5RJg4vYt61pT63XlrhwEJWMOPjXjvDf3MmWvc/h+Pt1t3wjfewdXXaqhh1jJT+ci6f+0l+njwcRvsV/I0K5k5CP4OasKiNeIeQHP9NMUcpcyJUinI4nkIhF7iJF8wbp0eAE8Z7cFkI7ToOlUddoXfbYQiq7A8ntgre/XWbY5z5CWXWWWiUktIwU3+4nleZgltnCf6naTxu0+LZIbAzZig/edwtiRcJumQSLzL2Bf1tjgd7Gi/g7Yyqtd3zquXFYD2+BRvXKJvVq3oxwQ5qYaAnATeI7huOIyDfQgos/H+eufQ5zk7WjptwM4egw8CVzB4Wfy+pdV2yfRrS9NjZmv211G2T2PMtPbZ6iKJAMP+L/eVdZ2OMfv16MLzxGimGkUyqBNMwfWV9R+H+2LKzjypAOe2lUr5/xNMs+mLpnxc7Zr4D3alRvWmf66rUOdyaWWdtKhNHcfk9T5fPG8d3T7h3T+gYkDz+TMA/ioL9khzYHnz3wKmDN9QaQ5VTafBFeUWAspi6libpKpAIvMSW4iJvAZzV0N+FgJr5WmLz2b+8yskeGPRW/AT88qQLdmuHlST6C8/pepW000+gCWcs5siw9u84C5ssdhaxPdO9hNNDC/6Y3yXYstqiJySgE80wAl4OURxCyR0/R5dJI579qXr/zmHX7mIumAxx+pVprbPpUWwecC2ChSP9VYuqrvVxUCV2oT6xKsosk+94+F90tHgVMV21Z0bWdWTG0ehODPNq5Eph/JtAdNfWlvCvoEelRexTidKH1f69ADrVHm/uQFfn6nbDJxmAO/3mVFcwUx6hzopwx5TmK2EcNigZZLFZcPOZBexklJLdPrALjXxo+jw//6qGZDuh5c4sv4c5Fucs9WfwSuBG7ePsiA7w1P1pOYPeLgOB32pi7ikw864xFPU52YnmHuOU6eDIX2ufNROSQQS/2LEtbjzDFJrb8z+hN93lzwAE4T8QewzAViqSbMa0+F6ei3TDVPNB0WVO1uS2VjmvWmF8P7ho6K0ZAA/2fA3m3V9NOOi9LUDNWNZYFG7ZeczTeIc6+85Z/Mxanspx40N2hMz7SY2zVSY+XgtOnRIF1t5RSNwPe0LEhQjSpXbtuB9po7aujMJE/j0AJ/PVNbnyRwMdbN3eS4p2L5AIZ51bl1qv7mNSEx9Tsg5nAvG/iRshmeCfvAL4XgxK2oOevVbyZfGnjsIKi6NYzHjeX5oiB+Zifm/O5Dju3XcS1Bl72Kf82mnrpfB+Ffvugp/AfzzVto2C7K2kopts/M9klj80NqNQ81KgyUMpheCbSYxrRgawmMxd1EKAQsOCw7whARrN1BfP+9I/Jb38GyQV/USP9qs8xWqv2sHkzdJrVR4Fkr0HnOsMtXUtYRt84hnlTvFWp4WJWp5yGU6dE6nsz9yVXdG/15ZUFreoh8mL62R1dq7NhLKvQ3Hbw3xbLX3cD1uEJcc4mHRQPxg19w7+3Bsxyb2Jwrp+CP0qu05GI8quyXrBaJTSyPVr16NvFEaKB8EfAPhtR3WuhDyYD/e2L6XRHw/VMz2C/uLeluPtYOwozrNu1n3XRJbPpXEvDIoidH+Nk76dHXmYF7FfxCxmSl4M0aU7vEVhBbJW+oFsTVjIXoxiMvBT+U1qu0wVODk25f+/N96mQrDnDL2GOTg29oNEng70k+6h/uqJJE/F4h9AW+EpF4b9eOdwK+vxCBv+ggS/hsr9F7qxxbLEyOSY9m8IJuRnuHx8l44q892NuzAo8K42efaeKyCDTKmd4IaKbUCaURmoGHSO54d+CSHQsy6xyZGuBeyiz+jdfyIfIt+KoEy1F91OF0gXW+P7NsrfjnBtan3djqpb271LpZoBtJ6foLcHsnOUmIkCztiSZBa+5PXVPTr9JaFmlNh9zyRtO/L42A4XreVQOSdXFZGaxnMQIPhMpOxfaehgl8tkrPzH6dIfZk2Pqm/nIatDfw85QAczKEbdKn9/PADxz5k6lNRovLRgjwTU6zgv6bnsI28NCzdnTBGMSZHhXKSVzumN6L2uTkZKWbOtz9y4G5iZHfKeVCRkmaQ3wEPSLZym3KFUyYZWpGlFPwfsxJLjVvfWqBhhWTpP0cNc4/07t3psPcynW/MeMALHqsC0UpOED43mUF/PwaL+6A0AY9+A7bZY49n3v5Ye7tAsuAG+OXNP5cK9Y8D473wxyOQU94LeRP3mVPeFs2GZCNbfWsfnuokK+G2eSspz346Rk75TNH5G9/noWLPJm+Z449gFvyuLV3IK4HgialqVvGYgnvnDCI245y5gcFX5n36lrtgFX6yQEHAzHsBn5+8lW3f6Z679a0vGc9RuArfk7i74y+Am+MBMNCOm3CzV20r9uC3fKaDcgHLzuDXzxQs+/k3MweDmVmU4AtPS1ST/S4Ojqm7/XGhc9Z0lGe8Ne2b2DUZLSHtb+1jyt77QPA/w9zh/MdEe0bCzcu6+H7P7cDD/ZOai1PHqUeXfdPcyct1bgoNRegrV+paW/GEQZKehxdvRKubRbOR2DfR+VOlTBxDOYMWd//+t6e4XtXZk1akwOzphcmJ9tKMIzxB3i9A6yvXcW2ObY2jzqcCQ31iYrNs3T4Bhe+z6y2k+N0b6LZnNHlqp/Bw2HSFOgDeBL0Tb94Y216hZtY5xUFNjc54r19NTmRB2vzBM+W5ZbakdVfG+A50+NYuhI0o39WbDrQnphaa05qN2upcaxcPct8Lk7cX89f26px4F/H7JUH+3Xu4WfcJKT9lIjg/XrmyYk5C1h6CRqkVohdJjdr4Z0kmY1I4+AbDaflaE/fvLdDoiFWg59jA16ULQ9C8z1xwwfwXyo68pZZ7c/rLozp85ZptBxsYLS1WbHTaohNJTyPlXbJrukkLcfkBgbVLu1pR8I5EF+zBfNkFIIIcETAH0vcICBecOPKBe00OeLMZpnwDiWs09dnpY6XGF3+7QsY9vbR9m2I5+4pmmVpt0c8tpxCrG6EyjOeXsH7fVSodeH5GEbvDsyrXK1+lzK+VLpZ5XBzTD5IZk856YC3R/mKlVS6aMxdPTBTB9MCxkZ+SnnjwjpC5iwbvpevHJKIgv80/eeDBOjeOKivbd4xjiNFeXeO5HeNUhf4585jfxZdos8xcKeFQd3+8nstYNAbWyEe9yoEv5CxQX2Rtc2yQYFLa6tT0GoSIpdyHedDbzXgDU4U90fLe2uAODKWxAw45Iz88BzhKA0fGxyUy8H0KQneV5OH//JfufVYM6YshdoN68t7aiVLKWxzz2BJged+PSolX2qQpt/zR47ahfRzWxc+eGGV1au5N0DaetiAX0RaQZyXtum9PWW0SHaG1//yKmEmMOH1wDSROceqI7lJnTYko0JN7114hGL4fjTt+kfTvdtyTSZqgc+F70xCnIADTDEjLo3DqyoULEt5Ub32sG65qa/d2NNrz/yL8dbUS/khFihtZMPYEQZ+usUjv9TW/l4ydcl5m6eCfNVFfycACzIKQXfbkGu91EKvEK9MHRKsHHQx9U+ZmCG+olUE6Ahx9bW37MLcSCkDIIPYoYBHwP/AfNQuHcleiIslOHab4fNaDniUkXKqcDr85saDL6IBB0xFETBrwS1z3m88J9scYH39H1HX1qUoz3T/EgfpNV4OQkCU2IQcIHdAXI0QkFZakV//VeZ97O+i15rpcVSSOuydVO2SHUnSwHTx/motvrJBa8k2HuDauLL9TSXIAvzveVj1qVmRxc25XVDeiPM0522ADUOnKuC1oS5Zl9oiLDemP7hhiS/XNjrF7WdGvx65BWy4S5I0+tXESGRgzn3sB2CpAXLkJxsbO3PATxnkpn7yYU+qnN0flCUR7b0HttMXWVEJ9pumDjE94JKN4A8rPGuvfjIHV9UQLpVD7k1k70SI3ucbe+wsc9Yv5qwrEkz3ZwZcninJKBLSWto0Vh7gGkmG0kuDr6dy+hvEz1PttCnwwQ3gjUBZWOadSpvOaEolo6kZKQFPiI7/kFCd3nGjhP0gTE3UbW+VI+8pJS+M8OFU4GsO2EZyfTf4gQhV1Pb1abggF+pT9HpPaUJo3M6pni6YJhw4rCx5QprAN2znQ0UEcvrv3MDVYAbwYf3P7mPfkSYH7mb7FGh45s3jJNirHMgOF6l1tCZRdaVTX+Ydjs0ZYxsB1hz4azazl0MRwy6IZgMYPGqoLFXRr82YvLkDoK7M4Qj+HwX+1XspGSancv7pzvR8bG0RAU+K7B8xcF67PuxPMtVIH8mgnozdIacBvhDbz8xR97xAC+SWO2CSfRXOHXxfVhXJO1fGqrdFzhIBefuGo/ZR0sSvLKNgrYBbLjH47IHQVhIB2IHK2cwWSrvSBr5ZNYXpIYZ9E3rPTC2ss+xMDUDl7peKhc9sJcBV5Ttu+DTkAl63wp6vjcbH84iOFPYLfE2eBDnwMCnTAcH+mD5IwAX9JKijk6rg95OpKY7Meb2+ZQVeK4tYTJj5jMg7c3SsoswW7HeOT5EGSZmxKTz3kLNec55Z/Af8rOOFH0gLHWoLbQTS14qqEgfqaKYDiXzep5Yi546TzJkd4FAPwF47wA8B5IUoRUncsKWrLNybeQrvelEZ608ct1fMUFpHOKy6ZMm6VpTW4tLAd+XaOzjiBdaaMwtia6GXnPMR8MVAqb5n1vZAgW9nVBFueUfAOoCXlZUGvAJOdKOQq9/1vTTCG9xbC0TxVURK1Bxfm9DOgSdz2uEXxIJrNRpObVml8ELgmxI724d01cR7a4XnOPzTtEbAnUNbEnuas5FnVZe5VQyxr/jNKYAX1T+NGNU1j9Nu+236yOiQuSxuOxN/qK1KEQO/0XgCPOKpAcFn4EcFMT53/dLghnOnevy/fhpbrcA3mP6WlLdnig4lTd9x3jkLXZ6Nrnpnejoz4KMQbbpsk674R1rZvzNW+Zp7zLZ7Gs0BCZoNRqFXdc0mD9s1s+6Gvx2BfH0CXneJ+LOwQd+Bx5+OlixxaL/72kg6Tt1ZhBB7iM37tgTORGmnlnr8a+ZluTRMIvgemjj6Kdke/HQ28yZOwuhMhsTiI4pS06dntLz7iWHL1Esx72DLrOyQlCN7/eYvoYOMeUa76yCYJ5TYUomSE9ggySNbGtyeh7bPonQDmKY7RSpikfYrW88pT14Qdzmj2dIwblX8r1Xr7FlTUjDLLs/D4tWO/T4jOpzATg3uAzsMa3N2ECTTCXKTAIsHH7JL2i/N2lLAU32D0idhqD2HjQP2NZ9C/jB1xnWRvSBGvVSnDJ63zjx9AQYuVLhc6xEff315bCHmKVz12BIxcD5nggxNerAfwWNAl5ftorr2mHaYA091mLBDyA1e2rXAJyZ0hrzRRHw2+gD1OB0aS7tGaxPQ5QpfPc70b037pQ50SFyFy5HrzNUxHmRLQs+rxfN2DnSkrMRhAeQTbvSFprUB7C8hLgDDZ02cPVM3eZW6fBntIBEoBt/90ljtdO6RlsHe6P++c+VeIfKdDn/MbMFXOsh9OdidApunzL4q5t0UzQDT9M+z8HLsJK3RjQXseoM/dwpicmW0nuNpMdpiQiwHifSF/JtnQhC8xsHC/u8+5e7kXfriHb6Azfwo/ndJXT6kRWIDBvypIdeW2s9VaJl5z2ET7p2jDfwoQA4NzP9pIE8TfXTS9RR+Ac9rTxT58DzoiNf9AvkEsCCv3jWcDYXP+HeXjSI8IEY14OaBXHH/56H41RE6WdPwj31wyKu2nrfaZS9mw/pQtsnjyaEisbC1sJQqB7jvAPluA7hqBf9Z2KhfpfWL5zc1wxFgfOD+aCpH4jYcBxDHrMZRcTXwE2Y4qTQ/yDDdMLelwA0e53gy2iA/guob5Olv7gCXjO7WeWjAOdFCmZrrUBYQYh8ScvN/zxVhBvy8l7t81BsqlpKH0yUdlorE6MJD6deWbWoxmRpIUQvAxKsS2egfjyYDiwlyhCwoSnzRT6iOyUgRP0KOn6iW9xrsB/DL+355x1w/AG6Dck5OYsDPWiNeCsIapru8UFfaG0yKP42+dxVhgSPdy2HrHRx1y8NkB/tVVEPpns05O1UzDfSHQnKvQmAJMdmZec3/fZZWDGXwDJ+pgzYZ1UZLSBIX8lXMgdOhDxougMnRyMZ2wqNfcGGndb8k8LxTLVQie+wrq81Epy+8UG4NcK12vlwMWJGx7afq0fsM1ugImfuGb7zqmSB/Yg5ki8HWfCW6smVKiynDkTR3Xm4VfN14ONsiaG7UCT3YEUvqthRBO2SF8oGD7JQj85TqTkRmrqD1yNmf950v2KucTuF2T8xPpPxcAKaFfSYIjN0I+wbIPVr8UQ/8KgsAks7WV2PbEktTWFHAq1jWHXscX7OZhf6hWHuvg/BB3H+1B9zMQ3lz83xnZpFNH+e43dEus+oOZcptV4ixi2IL7GcLuynbprcvsG9mVkKWBmjlYeNJRJYqCm1Y1wPwQvs8bAXYopUXpg5yvgrdenX0O4v2yK0N+LzRZUl8qtXDzPShgjyA1+TEacuGtt8EcpCp6TgLNKXhdKy4PDZRa2qvrhSwPosl+JcGG5d3sJdXPuAd4HqI/Atkhd+5S7BmCggHYASuvo82MNJhueHOf2HAgiwIb7C/A+43K0HK1C89RCe7knm7dEhYNgB3Q+AXoQSOwB/ADSgHbMkDcifO5lUh3wY88Y7zOLOaZzWiHQG8AvjWrwb7DvknprEfsVVu6GjuIZKD4hPwoDZqbN0ya/oGrBpXEHtrluxNFUfKyY+KySlFEwLOZ+bmfbMVM16gd33v8xQzGzjFytyJ0Rg9q557KWBpyjOb2hpyn1EJbFnNpkq95oGNyUVF1kqC9NFYXw9lbW0zH7bq8GcaaiD26HLa/QEcpzeA1+6Qj97nbOVxVV692+4x4PSjM9lScOC8qjL3uiR82jzaxk1IHmQ0ujPJS0b4YjQvYb+yKrIWbLf5wWXweUl71solrv+qrKSvreQui4nIKHn3gO9qy7vIVVYNxJbzQLoT1Slnyw+PIOKvysq1fpSQC2AvdElxBtzKxRCdz7w9pBFb0o45ph7jbHJRIL30cn82w59VFtnDVFWftX6f917wip71QC58SF61bm6iA0bC1V3S8gG+dVfi/iyH/YLF9AG4/0G7/bMa9nYK/08F2EmNSoqjOXCkNGVbpKzQkdrohiSscYBy2e8zovmS2unDaNI2rvw8d/qb9fdnKmaIrKErmQfYYjnQUe5P1Nc1cKWDY1uAaY6cQ9638Y6j6Qi8fqyZKiHiGH3nUxUSyZw5z5HRpv2t3/CZi3nTJ4Wy0Zr3pvZJRZkF+QKRG8QEmon5yoE70EHdGYf82c+CFJNbR1t25lKQYXEzk8/EbGU0WcCHCfj9iYf4SWzJSa/f80ax4QZELDIX7SEPVMk0+Ogw39OIRLBvl7y/PitrAf6DaQl4CTiRp4Iv+yTwkwXJZ7P6RWaXttEtKHuCz2wGHNa4EA9HGU64ivF7vsMCoaCrEXtlgxccHQXGNgneJ5+AE2+Y/11rdgUG9bWeOMprGm6A/xdkaKWy/Y8D8Jlm8LqS+0Ozmz+w299ErL/BznxGeZppHYmh/a0lbkQLn5M+WLTtKy2vMuCUjOqCNX5WRhG4JyF329hoTEOOFyf29MoBv7CDKuCHvorVxmiegz2uDZd36qhn7kIyBB4CqADz4bfOHPPRb88RPso4hJxRAq/w7dRaJuAal2qF77YSG/B0BHnnQt1pTVlyrJ3wpvoMcP8e8FarlW4d1oVGl+VfXUMzhGYOywX+7arW3/pDt7FUmAH6MvO3y8HMzryvst88ji4x2hwO59nzPGKhhmTJOww5YQO2mG1q57lRkfzJR9QqpwVLlAmx2zJdSYXplyOjxmj8uCfkv+v0NDO1+QHen4G/nxi+Q2yYUqulGfWzSmyvVOy92lKZ0WsB/mrJQloitK95354A68qyTx6chR7kHXjeL6cGYy0hz+UOLzJXxaYv4r/PWoBjaBHjC1v9a26re4N020SJm4ltJF38aAT/yTqjQyn/0yOSg4i/bniA/UHJNw8wbjr0omxZAYe+pNWKMzP6wotmtI1zF//WEqcjcrkFvleoKXdkBfvq0R4+e2SWosBVHA35MntVTL1qvt+AT0cV10gJXWHwR0L1DvL8DVY5bZzkU3TkAP8nr+PrK0V4T2j7ng13g5gPv+cj0UlIw/lDCiUbKgG324dacLdxE48I2zc1wDzgEQeuAlg0kWN7y3vkY+H9SNvwNnsl3MxIUAT3CeMUz1X395bH6F0rknLIOfnKBxrZh3Qgm9KdMAkB/69JQrQ/yNHfnyKOj68tUR0ZT2ZK9pi8GmeZWL5NhUYW4IylcdrwuOoPsZvNaz3gNx90sCvznu9eGIg9Gxm2feqSjbkTyp0/Sxp6CfjSydTf1/0fT1qWDX7s8fHvTVBcQGZ+NF25ss7MobCAc0Aei//VylhnCrh+zDzgmQejFS2L5I0PX2WhV8CBJ4iHrZk7Vw0IPt+7VwHb4IHsADeezJzj3Jz3INP3m8JnTkyNbCE9N7NaLdJPD3jXihT4hgPiAb6VjMrq3MN6skn/5uUA/tVJF/BvIHdtwK2tzx2blN2Xmzvtktp7DzD3RGgy56t209i3wCfa9DUzRrFVB6ZOEWwT+TcZTbcTn8z9oiRdwlkHmFz/ai22gI2SOgLqxNIND9XJ3Lmk9t8XYNAhtdVRdYlNAa9B3vsArLeYeXDpiO00gL0P+IMD9zkPU8mt6ZW6kEcDwOLhfpHRHOZ070Fue+OoD8Cgc05lpvq5OppedSo/BGoHMSrAKKjitgqbQLcpIwPRck2R0YFOFxajK2OQY4q/L1Pzlpv7vS45YHa9Qfy+1Rp3JtZgTd5nKUMegr2E7fHgsNX0MZVr0h8t5h4dcq/iJD5F1hNrowk4y6z7sugYvriFfGYtL0LlXiBuM00OWPMjR39XYubXovJWDTPgvNRScfu2jW9yuTsn1jwzgTaQ41kTZJuD/fU4I//zxCHH9nwEHPeZxsw7FVzXetKQP0wPIJEisxtbblT/xz1FxAbMdj8jXKhhv8p8G5vXqGj7rhUxOks/lfU084wHwA+HM8sswuwlD9haQ/xj+fyUphcgVuY+s6BWa/o0l4zNqBp9IqJZk1B6FUd9czF1ZIufjkleOXOhCt+nKHv37H8LTcwckaRaw2e+QvzskQ0Y+1SHKJdugohj76TQORO9BzjQqPo/gZtVGdte2P/uAji+3N3Ued5OYTKKEDCLjU6wtkkeXlf+268Hr2G9A7w1L8XVA39+NeOEIPf3hJcbzGUIcTzO87kju62A+OYCFo+OTm/RkC1CoBHwZFQBnWmshf6nEyLAZxwcS8hLzFU0W97n2OeAvzDYdGrONke8g2ekubXNTwHfU5Yk0g4twBWwD9rDFu+ImMdzl9CMefIcGE2Q+0IGPjY9/J7LMY+2VhUuPhvaVw2xSDrIf3NzxTRvhsWDOP1j+FPNpFc6bXruvh6Uge9ayalxAes6HmSir7cW9DM1PRDA/zgDnMWWkbtfD7LinZn7bvpOIP9/YpdfpJ3s3p8F/OOeAvdrVl0AdjQ6+rEclpXHsgOeINNVvY62/3PWfyEO4eCcb0eyGp20ZDJnbU2fbsy9UBVtKTHfz7KHczwZ7Qu/AtZSh19v2+jAHhCDnFXp9iRidee81RB/HioqX6Xb7hoI5GREayr6pRmxXwt0l862h/zPsKV2VZdgGWoBeZEC9zhiayvrIZlJIHUd+6mZe/o+gyWDmWEm8SmU/j+9odfWAr9PWcDdPPbNzNwKh5aTu2oPnIGkeu8x7j+At43ZkAE/S2806Nd69asmTA4coSQvJqNZd6vMmev42yv9abgiYP4fwYzcERrEZctNh7hyJwewby87HwGWisAuFzxoG/eE1EgOtatvdWdytPSo2CbK0hLiu18O28/agcjmYJIWwH+Zzd/4sA6xw7WMVYc2ihudbvB7dn2amVrSRVPFIOfEPayxnnOIz7B3H4AhIWK08yn4e6tsvQO7+teLmA2E8FH5lUanxtKEXe63RvzeZcfV5c9SoesjD9AA9u1WhY7BB54qnnI52GHa6dfRym5Hy07Y6493yv/cCGo/Upd5R6t80h6Ro7G3y/agtLa4K8t0uLosIDaO9Ycs+Jt/9Y2eXAZLCjZ8EP32G9vgzysH20ZuNpKch55Pw+nFo3DJEbaAZ31gZwrSzj+Kjmdq9QGzTw/sKqsOvTDV/qVhJK2QnuD1wNu+3ucbMRlDVzDI9/n9SYU3gs/nrFem39lXvV2osJWA2akYSFatvrnPPHFhy+OK81OhkrSXCLhGAFx7KTkC+7X31GkWZV9XFSF6Fl7xjlG5kPC7RDTB3tQ4HyhKcCYmm0I8z3oFfjVNpudLaRIxwCvHFbh4z5+l7l2msZ8z7eN+65xF64hRfqSrP6fdX7sCGyLONm/6/RvbPESfOOmwtdJYUkq1gFz8TRy8gxixNB0uS01mNhiN7fAJ8ZCRyx9YrUWkDmkF4/3BkRbjMiU92jQu+CCFuN03HrO8p0Hy2ArfWtwO7iDzc19WDv+mwtRMloCMUZlrn5nzTvDV6WDmgvatVYp5w93EqS5b67j2a3bZDucieR6dzS0t5D2HeMTChUk9RRKhkANPAg7+zl8XAmi7GhLJneyRms4YhuEzIf73ydAAdwGeqDnyndL9C9xkOQDOv6Wu/lTR9VWPOM1tdICflLs+PjjhI+taXrJ2IxD2KlgB1qfvu7aBAL5TonXry9bM5T7kRlO0v7uZ0XV83V/UnnRNffDN/pXbgDkidOG6LSizNV7V0eRawTDkZXvAwLsxe9qAJUoeolAxmyoreWvOHAGzJxlvvzMX/KnHbtZvfVjnVhbkkPF0A7HmhIHziHCiVeFHmY0hX5mzVXuTiz8vg6lTJh/VoJe8bzaVxTnT/UIjDrne3GHh9369SnO+C/mz6SdKXHzHgBGObmg3CMxhBDwGeCndbSn8cMLRLo9I38TtIDsNceZrUcKrDquPWMExA7/CISZ5pM299Cc3mkPW/u1fBXXmnXK2mliJRzkwll49zhGDvIp3Ql8XsJFv5Sb0xBunigDZoqQtWfJUIae5Qw6VGzoZcIXU+rMhgd6l0eZB+vY7d6YB4AHlgPHedZXERV3e9UsNHFuKxPS1OXmQzICrRUWbVa1ftghk0ow+vBdkO4j9HL4PGxBwTuRWNkmaQn3LSD6YnVzqNcnzSM2whwfez09uJh29z2Cjpw3+5EB8tQBn9oLLIBPEToekY6H2MnF1gJd04JuPsmiX2mUW5Y13jtAHttiahzPi1uJkegrT0CiElS8SJFfl6rxhoQvP+asfVQnvllFS1AHPIS8uOZtsPuBWUnzNrKQorXbFFkQ7DjyJsQ34bgZcZXMKzWyJZDnCfkCO2CtYXzaYunXvWxTT9Uy5XzEzS4K/OaxjZuvUbqLTtV9OlPyoAWcKMFDKYO+o8vFrLiqRAUfgdjnYTq0Ba8RG43jKmxVee/kD8aC8UcQcGW4l4PopK4jpYdhInTzSSL5j1I1a2wwH+vscZrdssAcmpN30KGh6r4Sc8oPDL7BnMy8E9tT5Y2UCHxlqZzJ4S261P9JaxlQnS0Xl2ACzxYCfzexQWqAIs8QtB/yu33DyfnmcR3JLzfmMxigNlOnFabmTFKdCpkd37x4g3p5Qa/07B2HAnZ2ZVlZSsc4/nAofcCJJeWjPNVep4PzCIBunox/kYGewF2/u4EkBqdfSVmXJYwY+XwM+YL1l8XD+ZJwHtSVRGgH+dtqkLFRv1M2UiyvAnTFhniVGH3BWsud2uGFjG+SDksxZRlLIb1WoFDjku2cfOPV9xZFesat/Ds71AfttnYWOUwdyAGcPWvilGrYpjRbvBN+L2Aidgwy+gdEO/fPAejoeVyUhDpwU8za0M1rLfo9N74qzt/mavHUPNvJfL/zTPVFVHJ3pKYwmpps5J8EewAOcI+BSCSaVwx43lz8bQHgOA04LbCetAhUANirJULrYLU3OKo+vPzZw+Pasr5ujoyGOvXVF7jciSoi1kz5HSS8j9sghj5hz93LEsmI24CzPYQ7RzEKiihJUR+2BXLYhW9EDYqwonW0Euf9wcFuvdjJLDFtUh3pzDq+3o03MfPu3f0nTq4uZPeSD3me2DFiBfnDnfwg9BWzkcSPaQMZ/XzWbZOYk36WZUe/wHHCE6bk61AHeS7F5NFSNTdBWjYMC0fmXmk8vSRtXiPec4nk+B2gPOHduIns5uP5NFNoF/ntsAmTXa+MyZvTdcQUY8sbsqaOvP4sYVKJ6tOZavlSgcFmYetWNfbB6t3J5S3tPHGz1U3J2O1H//+cuRSZ2Qu62JFGciDzwSe0sPzRWVAT6xYLwBTj/GxfylY2+D+v1IcPn0rzmDmKIaIY2UWO7ATxtn6ieIbfk+dCseWfqJW1Whdt3D/iFhdbShPadd8mrirMlje5L5SY51xmsPuLwPIJGvQW2DthZeyzGRabLDfBhv9TNSrrkWQP+AH8ogbudcJEU1N3fUipvZFVUOvx9fnisePosKVuZsB9nCki64EXZtzb4zpEI9eLFRKhj9HynLKNtCD5vV+z+gn8fm4J/NIAdRaFMn+8ncIO9cvRVMF1kNmAcBwe54711Ao/ALzzuNouZr10h3+U54AvqjxDj75XtP3M2RyUFXO+0BPgCYoN94Ja3ArbuudDfWdFOOMhsoftbqjErdfLJXR2KgnR1OFOp1XvOowe5GpMC8rBQvFkzC7DJd14A10BJpQbbzU2tEOIB41MAecTOOImV3TiAoSRlzUu5/r0OZWfmD2dFs55hvUWvNw2Sp3MPsaHz3/yL00jDOkgEfFEyu81NPT0J/MeJ+yJb+V6hxCIR4Gekj5WDHsB5F6P/woVMS653wBU84EXLufh68FA6xFVdlt8t8E8L8vhMefuu+3JSQTYnwZ98nPC5tyVZuQ047vM8pnYlkjkNt3cuZsRYcqogsrGxfGHLm0kEnDbApBLPJYN9KQfUKoZKo61Q2xDzX1vwH34HXvGuB3hBfu8BJkNcbiAuKXMv6VLwk6Nb3viogS1xo3E8qFUuqpCDGhLecJkZ/z2u/CftvavgKDL6nmnw3wyNYbOmWuXn3R+ntv6846FNehLkq8a5C/gZ8DeO0A54AaSG0FKFf4A9plzwWAyA/ejeqwvEc3cSRGACeNOune2BiCkyNfCcokJa85QPmKY8ac8FfzVMv+P8Bg/toeLqeI50ZmaXKp2tJyo/1SA32WUGDJMupF92gN2rKto/y6GFtVPTOcQ/ckVTaWFz780gh35zS53MXWne25PqkwisyIeV+D1zwDbwGndvZxbEZsRTPiDg4OWaR96NcP/z6PybWf1oHHkEjLXhYTvlFgBaS8+NhU5K2Pe8C1f43JUZjX+b5DLik9FOrcCezRzd3zMH1q+8yDxq6o3C1kheyZK2JGPzCLH1hrkfM54EzSpNb70Df95Jo//1Py2QMSsUUSv5JNafNeO+BaDXKp35TlfdZ2bG+WC9OWx4tNskF9uXjAwfki225A9wgx8KXN6c+eQIcbHbfmdWuZI4fRHwD9jXSRm9/1VHEnidmRuXDciSDs4gN65sJTsgjM55QKf8955oPjUuIud4kkL7FDDds3T9Prchj4S4AF7OGErMDKCcF3zHrY1d9t7OnPPR3fZUcfJpZhAC/7GqUB1zzY+KNTamzCVmxqb91zrYv/2wO+MLuCPp0ZlJKXgmOeQoVybpqG1eaF0bxS3gZozpgQd+CHkD/CKpcEDK3LIf5hmASwJ+9kfwBzNvxQIudKWofzIT9/+/HqA47WbITdxKtfw4ia+niGx0jhZzxwd4kRfEJYSF5DN3Te3HFfyOLPy1xWpNPchTuRL8UDEP4mZo7n5vpscF4heiwnpxim3a/eoDXGB9A+mSNmPJNRuWe9Wnr1rwXeXcbxCnT5BDtQxRDnnvxYEz5dR/NJB3M85vwIesg2s0NZdb2uNP4NUnBlzQ6FkqJDPlKgBP6P+1TEdl8d5OyYgOIobY4pAncJu5HmD9GRqorebDypxMbCzgRx9HxzMaIA510o2MEK+iLeAtFaRRO8mod2jUVqWNfVo0RvcC1Xby1k63qX290ZHMEOOGGligCJedLOQJuP4HhfU/F/0CGY8e3WxpjK4vRy/A3hQ7nkgvcymQ0dRoHpATCbGZ0anpRGjyV3uAHCSz4Xe/0jNHY957CawBytfsdmZ3eD16gTUF0lluR1faKppfJfsy9Z+wL9NSsiUqmdHGSFzAdZFg6iK06f+UkAdMPwwmEGPt0rraefz1Pmfbi0jZlWUfj64yeiJ9CiEht1DV9LZL4FmEUNhoVCk234GPHiTgKRx5rTKzocM5EQXa13b7MLWtQtxvzYgF8JUHt+Y7tpqNYv2bO9gK8gZlBBtNNxEtFXjqC/wlzwYV57qN0ji0RezTivs2s3BZOf2jYlMEuH4l/QREV0ciTMKs0DuItSnsW6dGsJFhcs+dnGCtf+eMYMAoGTxwxjFnfQKoH10l+MRJALOM+Ay5/yoE/N7alkyXpnY/EAJ4oaOOzbAlcpDXfASe18sTMbqf/XUBrPyvh7yBZ5L9mxPNjFB0An8GPEhOzPV56lyNTr+uoiWsV/+TRF9WydQT9uDHsEbKlAZOZLOiv3FrOyjau+lra9cRYHoGz0fNnMeFAK8d6Gr6zd96RPdH7ZLL0SFLPqC4cVtfMPLII7ThbrimBerqfvJS9+txWEkO+PwT+IJNon8zCq9ZL8EKG7AjWFewgePabrDVOqnRoImVTCPs1L39vtfbnTm/N8DLiDvNLFYZ5JWLYLOoudFnJnFleh1i4FE25GiERuDWwylAgRnrV416z9xJq75/lf3mdRIavpum8H9swDGflJt79N85xQ/ZpR4xMyALtVa9DnJKBgYYLHMAh0T2HXxiFoDTKFvmOrRfYAtJ42yHzE0S08tdW5ABe9SBL5W1M6MSomhjkwri0L7q53v5/2fLkItwmFlGO6fdiJGbOoi7CueJMPBOsU3LtX3hEM+51nfI4ZbRyW66doA4XqXh/ZU62xvgG0vG/gtDDKURwgeXJxXld8nVSlH6xhsTYKoI1q0Fny0bqn8aRGaiezN7cDV3fbxDvUDKTC0HnkaOkKfS3EpaGs47Zs1gK8u+7JNZ8FbisS0J4o8UcGJueZJa0st4+z5newAmdmtb+7XLN9RN3Yanps4H4glwiEGKo4XvaYcvNcJCuklp6i9E0VonsT1Rt7cInySxUEm5lBngtdThE2f4Ko0GcMQ/Uyd5ryEhw9RVxdXMG8ghJ/s0RKTSJAVeD8zE9BTyT+piz8RgtWKi4slXwC0g/hdpz2dTv4bF4jBtekemuKa6KN39wkR2S7ku68F719xGfIS8GqKb6fs590Zvdrqfu+RErHblIe6knT3UoFKj8SU03kCM8kXczmbmI3CzexOhorGaFfL19/lyv2W9EY/GITzvrqbNrbbe/URzSWMyVraaMJumXPSvevQ9HgFm6MjQCHQBLHLJdWnDe0rgBqIK5SMf2jYv/CDr95vDqodatBRw5POEEORsy001ehCbo7xHHkHkt98B9rMVDPaH4bjuAeVaXp9GW5QyaXQ7zaytncGVDPBtZrC7UEU57iGXJSu3EqMnkpj+JRyj0fQpNJG3r1YtyRhafExMDH3rHlzLfNvJUR65Th+Mbe+Et5/wnqb37ATo1VOWd6+trekDNjObymptF8YUfOJfJx32wGGRnRaTrEKCGNhzA6iciBmng7k3Ug62f+8C3JrrF2XtLGn4lK42V4WEr+WDo9QpHVOPs3cg5ziZuW+K/ngivj5Jh+GzfVaHaNcARq8gihCNP3lPCO5lB7zqmQr1kdEkyPvtW39jhwEfKkSm2mnHEj4vs8wcE9MvgQi38JN2SSppf2MFSWsLPc0sCx4oiB/seQqTH2ntN+maLjKHdc+337VjNBymGfD+MWVkNLq477PKym6MXpHJs5aywSZCPDYh34HNeWfAnY2JSwPgt54/hVYdHiZRxSqA319Y/7QU4J1zOO1ViJ4CycrUSZx7tQMfGmv4Mx5+tdOz82XOIKY/Ad/lrJM6dfGGOtOSOwlToeq4Y+a4fZkeUHkelmMOGK3kEGsH7BFbHVNglJCmrBy8p7Gw5p1eG1gD0e090s8fpfXW05th/SZzbr0S1lqZNl1LU8UGNaZBcs3D5lWz/YtoEnJTg8DuC/Ahn6PJAQ7yk/NWNGO2inz+bqLrLUcTAtu3KkSOyvSMWe3C++27nq2jToKJPbkY8nBZgH+G+li6yQ1w18L5/+4662G64gDsk2eQF/88Dq/t3szHOUXl7ejIt755KqPE4a85KdnWFJm5J4EmGbzntt+tarjeFFJLKrgNDNzG+XYPsc/6NxvS1D8Nm02+lrdTiACXWJ7Kt0Nl+OYgd7kobxBPHrXp1XemF3BkW9EvVwF2PKytFp0qT4DG3nFDceWbvg5mZq8zFAAmM/4+MmcxM3yysp/uNCJ3eF0PNqmxCzEPMhbu0LMZuekp7MuhNzH3+6yJw90ecPBkeuzB75dJWsuvhknWhzbY961i8yL51+YU4CtmGeATbw8xz4b1Eg31kyqC2NnLH+BVLeDg5dzpRz3KZx6Xr6OzWY5rejsJMgHG9FRPtAr5yPKZQY76rQc4rOhIQ+bJVQYN5U9C2YPHqFP9YvBzCricSoeIU+TNuTlPsWVnJNLrkFnU1h0Hn2EjwSnCLcQeG56pB45q6q415/p5juS77kuko29mw6+ib4NTqAdm+PuAXO4CFrQUzzlKiAgt4Fso03g9hVuI6TOqV8Be/2YVJoeaAU4GfgO/S2vYN+AVRuvuUgWozF3y9uUnH9Edfhx4lpMEJJVx7ZWWB2RS7xprXsSgg9oJl3yUI42TA7FIVAE/UFG44DgZz12rq05pGvtPxfkl5z74Oq6As+eiSMYm+tX7IsrFYE/ATgv8SQo+nwP8EDEJacGf1CFGH83Lkd4ZTT0wYSoCeTrF3KembhHWEex+cwrTB9jhgQqPHa27a+aM4ZWn5cA35939zZdto2dVFuGLjcmLGfstAKEA40257zUuvmc2z/CajMrhWlnlQ+nG1PB1OYDgqmsn5pQWWRvAj4ARxQRxbu8BB75L9HfFvF1qaxred1IU+Sjfbb0cvh9EO+e49kaP40PZaMDO1+O4+sNpd3eZhXDjLJ8H13erofUryIvAa5EI1LGy9s8U8Hnez35l713Ve5+KJ0xo2VfWMv36sq0D5XiAJZOWu38dwBtVbnOIbspO+9b06M9UM4+HuiN2+4J9PRA2HTmbc8CTR4bwLWfJ5z+dywLSbqfZiQOaYl8Ou2xnMSbvs5SFu+qzGVGVCZzCXixnMXeAD10eei9qh05TmDNcLLjgKURWiC9b3fSJIyKSs14emJU+8w7tOCOtmWuSiT9P8EORxygmq16AW773a64dNDdD+IKftYknc0fyJM5clV3LSdjeDlZ5E+E8V4BPa4c/yvVfj8OArcwGTNwRK3U5ao9m9tC/vqCAWf/OWwrtiT550n77Pt+gZPUp5FgK+P2WR3crG/CViS0FDitySw3M5tYZZTbpeV4VaIRYFZ3B3iCudvXIsyYGzOqiqARulxUc+B1kdWpm7NleZqOCrPzdT2QzJikF/lBH+Id1YIPc/5SRzlIGPtYvVTl4K6fSaJvEgAUDKiZ0DsNF9V+vrFM3Rfcei2Yzez1Jg9LhhY55P7dg79dsAP6J5JunAIhtSanba+2aGauAH3siYA1/MGp11gHSj7zS1PbLfr5yO3OpizYVb2caTzi1tmZmu6ts3+hsQK5cglNs9GGTYxqTBNbkZrQbf/ukHNNL0Y7Ar3HWhavBbAKVz+Zyf5QjkafdDNxOfcCfHyngI8ATU249N0q0h4p+Ac7HNqw5gXixUUNq5a9tDpgFVQXZZYy7stO/ZylGH/FUoFMeAc4OkhNHSgC6/qmj5aMO9m42GN3a7V5SfMf/ej0mH/LjIPtsSanSZmZEDRwCeHuh7JYrl7k5IPgz15UYnq/axu/n2lDaP7JVMcXxAeKXXzLsik5/y1XNptaAj76sNFoU/Wv69Q/cTQ7nuLFLVyLBPIt3agexz+iT7pqCOYATIP7MFx7ojAd/n1T/9n+R1CEZDZJHY+83ldvO2esP+PNUyXh6QvQZm16PzaBW4G9ePsxjbk0JAczeWMhoBoNdbGwW9BvWa+vc95uMTYfGxrIJIP/G0pKdfPOUTW1mXUfZAuglkhGOAbefgEdcIYY/TK4ETH1rhFoaNm+ItYV892VmQj0gd4Df2WsJvAFiSAHo3wIuBw+TaAk2k7v6KfrZ1H+/7fBuam656fMefUHDf/q6HHjs3VSAsxHtM0eShhOj20I44ml22aaZk/jAjcXBTjzgEA8xbMe8I7dSa5dGoceNRoTAHnfQLXN+5yHG8FlHWJPRVKdUWs1VtODazNQay7VZfZ/H2YohYpm+rrQzGAHs/t+UL7xPC7mXES/P4d2u+9lJI7slkaZZZ/p+WsCRfzeCorcdDjnzaCMwq7XvlCvfAzeDjKKAYYY2Lb5WWQBWGo1GAUmaXiaVIFk9AhQa0Imgr+UUSfBtcjm85ghs/SGL68Ii4Bq9vjGr31CrffdJ8SZUOwr2VHJ5qWJ/xQ6eZN++AL9bkGvXbCDLeZQz480D8DzFCJ5dbJGIk6BykgQ4PPxYxk5S3vGMFIjVbPuDHfWjVuBhzp//1z0oCJdgg3khEQlL74zYRgRtr8DmSkv3gLv8zAFfpb2XckyIM1W5QN9nNN1Kqg6A4zmz1FQFmOe9HR0cyI+sjQGLXE+h3J8Ze5/pRSRuEQ51lIa6zITqWKjs2to7yualiFSrtOobxHkF+DG3UJKJ9kH75KUiTCtnMf2ADln3GzLMD8YRYPDQOY+AbYxm9rB5cN6/6xyu+ZBAXAC+Fi5pTv+C/UI8DNGHRLAfnX8iFO1zCy8N50haps8qIYRpMwdxxy3IMQw9cmdO8uHr2cTJkoskPBV74DUJh/cEvvR7D8vz0EYVMvcKy5hzBTySA1fYP8pO5wT4FmAo+Lu+yAJ/SxuJo6PtavwPAzgyBZbH5IiFtAkjPaLVbhaN1d/qAEUZBdZsk/F9v5xC7EmtxGsYP7JCB03nPytTlxJNG3hllzvbV9PfHQVxF7BwyxFqYT3DjHn+OYLvYP1ZYK0LppOP0k69TOgecp9n5kaJod3UYCP/PReqTd/zKjMezaa2PwQ8N+Eh3QD+SdJo76QFYbyAzMCeT+kgQM7tqxr9EjCpqbMfWcfTakWcCn6n7GqpDh3+x3NSc5NmnenvbAKWr3tH9NuMCc8FjnI9Cd6Dn71O7M8zHZKdqdOHCF5wgX5IeF8wk17N+ANwVqxs5jZd+8pZ+hLhtjwaLXxHZvVgCyWSB+Z4KSGOvu9uqn4uafQEq+khP+2fB8fMVTJnVgQZTZxUA3ceEzMHyoL89pCx3FfDF6wrcSHH3GBNfihn61kDxrG0pzTEV7DtCnAnPH+SWfqNAfJctC7wfwDE5ly/vciRfJyROpyD3jPa60armO3+bCDffhxf2yx3+avJt6Y/r8yDdBWR/EiZPDFwM8BRwGhhOynuAEME6WC0JdW7h64vHbtgsQ/YVhvtY3nupGDOtsitpID15JW+WoAN1tLFEeSMRQHGp4M9NRzdTmyWp4L752HOIDew3LHztMdlw5OyFnZlZqMIdH3f3dybwbKpjT8oQhYFmzT9XtLcZ4XET0PPfG/AgkoSK7lXceZkox5k7N9LE0OjJAKeUlTMutX2tMuNxhjyoxP/Vwf6yLqvpxjCt3+BX6AbR3rKACcQ0T+oq3Jmzd8lxIHaWRbIy1c6+kXD8CdgOAIxmAoqd8Adesk0rTsdNwiv2WhmZLStAOaZu2BLDuDQ4b45Os/3cy0c8ju1emA67QGP4UZEuhOh4WzeE/x7PgUJPeezmaWep5H5uz8phOm5n6SIfSEu871yZt0E6k5XfDC9rawne1gTxjt4/kG/71NQNWDOQ3SqCj5CbKgEg/xs48BoLaYd3581Ah6RuEdnOVSsfGbO3pJimQkFHspslo7tN+5UpcwMEdu3DadX3C8z7iOskS2D336HgXXJrQ6TXEVTm+oJq6B/nFAy5SG5pkK3xMzN6/YWdvVnxbafqTNtIN4fZNBqFeg77GtXaplSVNqVwD/AsY7MJkfI1dc8ZJucbd/cwWER/jb4DjCMW/UQF6IkAzzAz1SHwP97wE7Bv14ZLedUPF8smnYHx9Rn4h5wMeCiVoh+sU7Iv5uZtfXIXBzjl9A+cMwJwdu8sQ1lglhHG8na2dp1nDglM7mfF8Bl4HPBNmLgKGaO2jgFqZmJKzTkHPQNeNzGTG2yYspFWN6atXxyW2I1avhOCeDE5tU4JM+d6Z2/gAvqK/CYl2KYCWHd8gLNZ1Nnq5uNituB21MJHDbNxAS4bJvUo14guz6YmxwV5R7wp2sVPlfgvUjSzMzquZZu6zRd4kPOCHL+q4kRmzrsis1Bg+Rn5hLD4aJzrI+lTpIcIUAa+iTYHFbh3iFiGSFnoDryigr5gpm5GOK+mrmYZ4GyVEhUaXwoC+SxQcFnebcq2r57HufKmnAVENKEdsrscM3HBLD5ZDRMUNpPAQEM+68WrtsDTtlY+N/s3KSlnR/L1T81AS5zocEf5rGKQjcV6H6wSQroO6us7NVw/NbtMRp8O/ANkY1/bchjVYO0qV2bTrEU5yKJia075U6+6L05NxqUg51wnpxIby3Zij7zES04Au41NrbQ/CWYuXtI9qUDOBQYoQje+vOzOFhXSzByh3UOiNgeBCUsHTzDsyuFJluyZmF9eymZsjKtEoLSZ2n701kbFYEZZVYbnEetCUMRZe3tCFGBUzVkwx7syd8Bt35jthXwyImP0zFl82T0IDFPXrCOEtsIw75+50X7xNZ+c+4VavQUAXsta369yY6Bffi3c6EcGiCsxLIBP7hRsdwgdrqlPe1Z53+zQL7jBmfdvzsxg29fXOtXY+E70b0HNHSDVz4BLx9zPc2i8MMGYpva3TdpAXyeoVUO9i7r/6wk9uO0vz/OHdmcgfsfbH8P3zuobXlrnPn2PnM4GC1xy/OwuD/StfHOvQWx/s8ie3Pf77dKIAmMDeGY3aQ7lUcLA2ZrXc7QTw7rwwcC+TERgNs9aSlZsumSM6BLK8Qp4Feyl+8zvVEy+xPHGnK/vVeAPkVXuhlVVeUgi2n1PA+thxm6mtnk2Hk+/vWV9MRodV+Prz+wZlia8z7gVh+Sqv7wut+ODgcbgu9tzj7pb93yN97N7MxVLgtkdFaGJrSsfJwEHdlD0XKtOcpNXR9GgD067cN3SAAPQ35XD84WYK1f/2p9gD+ZuR3B/3ggIiooV4b8TA7kjUU/zp3R5GoHpU1NFbrWw3WtnPsG99JpBr0rISGdCh+eWB0BKwB3BUQIfKW0rys2cx1WzIi1Wc7RfAA+Bhh7+TyLP97RweFJTJSy5B2jgLc0zjk0MxD5N7G8B1slxNz9sywkqezWwpT/QLif8w7gilhaxdlG2nJlofUgHRpEt3/KaIL4kXwAJgXcYDnSni4V5UcK1sS4etfpLdJpp2yYrtRRJ9n5V8DAQe1o4CJelaIkgZiF6vHrWQF/OEfehhXJANzxmA3bFnKkPMd+X/LeaJghiO28CpOy1G2YO4s5K6OAzd91RHcRwrMVCeQ+3EpHA5YlfY2SawkxsC4MD0BzCRjlPCjAJtPcCDOjQ+Vl10IOAM46TqzqEwTYdVIB+hGDHQi2PDIGUcCyxyb61XaOczsZ8Kh3KiId7pKBiCSqhWJHmwyCbVc2Tgf4Hn06YF073oeZd3qwzCy/eTD6yoDtHkcnfEC8IDjgP2Bnd+6Ax6/tqV6JBXjgbRtH9dreqP13LYWZkZsMR3gParestnh6XPmMX9sD75gL3LjEAeR4Dt7uEpfRBLBducpIpie23auudeRlXk75fGsCqQE7PiqqnFPkvc830qMLPDH4uqmQnwDTPqtRfmOx5YBJY1bgFF/+QHwgVX6ZcT6EnhKhA/Elz8S2Aje3S8d60RFfyUg2GfUprEWbmxrToDd9k4CbNr/3y3X3ZTC+BhwQNOFsn0PvgQMcZS7/xLp0c64Bv8pUxBLnqz6Af5BzOF/K8e+rHuWDI25ueFZlNE+E+gZkkNJB2VmfbvIOP4H//M7IULaeYE1PkEOLE/AO4Gqo4X5AevXNnMUWvfKwnn5Er2kazoyt2qk435n661zLngj9CbmnbPrpkHGjr08SJbybinRPg2THHe/NU/hZ65+UqotAauLR9kaMXqKGHxvfYB3s1J3a4/rXw8DfUue5HOzJyQCbqcFyTzRJq9xoOU7AgDDNC9+sZ1/mf1yBAEuYGqj/19I50DHdcGvJa/rl5AOu6oJ/yEhv8pVtGja7YlgCo9NyitQxD+f5RMnnmWJUhx4tLdsCvwfu0t6I3QCzxKIcnsCfpZPyVgL6eGRj+F5D3Njoii25M7Vq9ZoUzap37PVnySPAHBTbrJ/miuKhpM2t4nu7HjQqaUtL1nY0QpmMuC3yOVMd/iy178B+vMoBQWxb7tQlF6Nh/L4bZaj1CeKHs1g07ac98LCNCHBXh/KSjy3Nh/la25kNmD0CHnLILb4nwMkzZr+YwC3w/16E6o5jcqlthUor2dT9bHjywiEXVoX/xhsUMN5YrurJO/RRORxy9peFIbZwQXRtkR9uq28qtlEVqhjs4bsBWy+ZXGob4hSfds3oA15sOS+kSKnfU8DWaRiuaUgmbpGOOO275jYGJ2nLkQdV2FvcUt9plIQEQQyFnCB69JSUfysjMN5P3rnghzTcuFkBfId+PWkENvwCPGf7H9wlYa75XNsoALs48TB8AlbGwLUuv3HDstZ/Z6jM2+AQx2WnHKmTW0OB78eIHixOSIjKtCerqe+RjuyIS0TDZK/o/oVt/aEiC2Lj3gNedsqGP0/i/FmV48kzM1j3Vyu4Sl35AC48G037gyP7fJXlGU0v4sK6WC3E4CmEOJYyBjjTsT+a18yJudN15p9zlFllgfc5w5MM2C3t8NBY06vpmpU4MwWscCP9/I7zH9xJnthhzzp6bhRPPG4nSRMDPrUsLwVeVTtYEufLrga+Z5b1UB3ZnZiciIsEtyG/xunrXGiex9cHta5gh8t3BnELsKgDXB1lrH/fO4yA30JRoKd63e0qUhnpkpnz0q4FKYELPEvO7/lganb+nSlk5vw2DfSUAiJUDn/iy+xUXe9K/u8sfAfvMeRBMgAu+U7ddKWR/T7v/acfqmJ45kgjaSHErCfYLDbzTP/Xdwu8RkFcPDqbh5nRnL2Al77+uMDrMhbaGGvfnEGsVacucpCHJkCf6W6bAosdjoBzMGvfc4pdOU7Au/pblc8nHhOIhxvAkuxGubqdkQ82Abgz2r5ENK2AW8y8rieP/1qnWA/nrs2o83zWReph8HkKVoXFdDoFJFJsSaXRlhzlu/f20QQl4LIZImn7Q5C5pwD04oZLDv5S9hJyIUaVuAMf+toc1nDD1iQFXHvJnGVfFSFwNYjNr/mnibbtwZXhmbfFWatVmBg2eANj+n0OgDlKDtRFLROaqBinytEfgK1DOYRPyMNWNeJn7baVEmYOxvYiOKlo1KbAT19muHM1IpsCJua96iqjacB1Dghjc4ohvmoFMSp5x94QsPw+G9pZGn2Gkcfw9ycR8mrmaQH3+sxseK6ivaQOZtzyEsDsxJxHQ1x2ICr8EI0WyPiLDCdGA1JUpteoX1oq5lIaTY71fdc2t421/cEI5TieTKvkPy0DsCGjCxuW1pRwMVeGs0K8hw2VgqPpBrnWPQUKuBYZU9tPK8u+p73NskK51Ca3vPcyyKEfptYH8MW7/vDJiszMYRVy9+dZhduFrQ3wOuaxUBe13Wp47ZJSPpWOF/N/s/3+bg7WNqw1v7AoWQ3nK4U84b71OPVN/VTRdPhUAVeudduzYX6vYVyyZm26zCNh+apfW0uy/aNmNsoRf5h6Qi6eiyquThpjF/x+L0ejMuQVNQOMzYG5W3OqVnPXQPLKUjdsq08aKgZcHgFfi8q+fPc8Ftxo9/a6k6FdqHHqCQUcu6K8CnxEHKPrr4hi2wJby5H3/GhqEyhNPjGT8gwLBftm+iwGEuheUKPX2n5QCwMmWciZw36w5Y17LyLQP7ktwbPaEwnJh6LhK2fkClz0QzrJXAFW484M9k0Ad8r2HOMx7fx9PUAWhvcFzp+kOpnliu+mlucstAPr/H9MnWt3ozrStv8SB5MVf2wCAmMjB6ED6Bsgr2AQmNjExvz6t5TZzvPOrFm7e093bFCp6rqlOtzzj/cV1hb84+bF82fs+nb53P6kHGkWhA6Ok0/GwI93zKEUpTzWe2x6sdHUrYSMml7uYd+0wGOtGncP1bN72aOpYZul6VtCnfSZUpJKNylYlLp07F/9AZwKkaIZliNekyPm7QGHuyv88xM7eFBj8p1q/00icuZANKY3Iu529zSWb3RoL4p/XbFF3uDv56lLBuAvP7V4RWwepNGXV8f4Vv/x4W2F+LuUDNs8Di3gO+AoYuFw/q7ZvDtFbYu5/GZdb3qUfNSW6bGJEBE3q+nnGPRYmxZ+Xpv4ZyUt+LbH3mo9YD0MevUIGvvI/m9uBQdOWU66RcDtN4YgDsamz4zlKJcs2JkO2DE9ZSY/d8mlfM6gXfnYsMX0OHGl3QbZqJy8TzTsz9b0BVAWORM03UmB0mwwcw29Vz1RAP6xTcXvvOadsv2+CaeBu/5PHZNdakMs53IyvaOAZ1g9tJsKbJz0wPvxxRNj4vBOPYF1ZRWbWYzyCvslAXuGiEP25qqijrav+KVP+YxOYYvqiOd76+bxPokgBkeZrZc0kvC92wyoIKYjuTXhsk+jJaP9+4PaagIbKkFTQ5xX36q339JodrLBcphYXLDBkEGMljb++6xMTOBj9bpf/R/gjJw7l7vQaBRBuKTARKBjaaM5qge7INHlnlP/ChwEeyrBquiXJuSxtLYVcMchNXNoR/SRxv0Key+Qpi4UHu61lzPLzqqwhTivTS8pwzOH2kWg3eapRjLB/Rb4TIlME8NSvYrUo2TJ0tBkygv8zOD9wU4zs9VnbGoQY2nm5FQnJmNjS8RVf/kbmHmyGmyPWXgExs7g++SSfbks36447BeB+LWJFKy7b4nQaGL/TEzfSaf1QfM9GkCK2vLwHuJ4XfgXohVrKNnTGP3uhdoJX3eIP6Dvy8rUmgwyBj+wUeDHKy33VdTq31zw/mEz5As8eBQ45QG85zOKzsqaR9Dtvck9YY7ayBGNylJjAwqJ2SQRnXYIZ25mk9fdzQ18qE0sFYq+/SZiSrL+3c0c9YN1v6GIf9AObU48hNgAuxTpTR1hM4vliCO+r/TuATHyMw/JT/a/foc2sIKpc0xyxu+Vxc199stHPcDvPv43V9h6AivfD7apyeJh08mrKIBrQHemMXdLVz9ouPTc2kKsI1O5kmNu43HvlkajHZjJixh2C/iGXK34s+mxXYXThXb6df/1SJGSImQraHnweZKfRlyxuJ3U2ruCy5vJLShtf5c5PBdcRY0z/RwD6cH3+wEee8sGT8vzu3dk9gNi5m8ffTGAJuogPth+eMxfd6M3r6RGx3OIx/5HNkwS4isGpvYYJ4Eo5NIUOwdzv9i7iZf3fGIhuZiZpBnTV7aSUTKgA+A5EZl+ADfb5FVA/L3jtQGOLu9q+DvHdo5BcmGU9GBLH80wd9VgmTsZDrq+yyxS7m0SNRz+3qqSU4iHI5q+S2cSct05JNyth7XcVMLacGDVephL3oFFI1SafoOlQ0yu6isHBlbcO3AOrMHUcuTJA3TnjYvks1zLO7B+Wdt6lFbrqng61PbFhZW0Ssodaif7PcREYJHR9PxsKI9Kuy34qDvR7ex0WO4cNGTpJq+8L+B2TlSoioonV9E3T2Bbj65+i4fNQq0lrgUuWZjagvs/sGBv4JsMT1QZ80YyZk/O8SiGrZZmDiptW4CfBOIg8CXEjI9tW9nypR0W6ZCktkkAe6aXKwdb835Ah2FpLQJ8wgHHOIZ36TV2ck/ZfOD5fOHWHDD+9QR9eASstGhg6uzKKw+kmXO1mvpC+Zu/4T8zl6Sv80OwgZ0YPLcWywZ+Vg97MKYO9lXoJeasFvb5AtrRT0OZg4a9HMPEkZE9kdi/M2uG/Zhecycx86GewPV38PnAY48nR/+uEpn8ouaVw2mf4mxTcvxGA2WBnZrczF4GfJbD5inP24kwo5engzrPJRPec/+c942FMDCrgNhmS5FdlWXPPLw8QJ9dzVzbNOTHZoVIbWf3g4VfucQkdaQni3930nPMHQTvcGdVHAGPL0sutkE1Ziv4iRy0dMJR+3YsgGJG4IBOlRD7btma7PGo7QpsqIlb/9RPpt80aVySgZ8HJlz+dIqpwa7W9gL7eM4jz84dLye8/VCmVgW1pjtWoMAHUif5EGJb0iK71hHEsQ6eqcDBwbo9KSW7JsCfJFpAgzVL1as470mSF80j6/76YlGIbY8G2O63h2CH4r2LOnjqRJq+W5SHVXhz6yjZAdt90JG/7Z/bDtjKzzu+b87bjpp+Ih3+BP4Bn6BDXPi26NhVdbtryeXl9DG/bP7caP9B4smRwp6xIBc8YksG8I3H0OPn7Uxs5VTR0uYBLsr+cQcJA/u/BA4uH8dCl6ko3boDHRpLubfmH2X63YT8maOpb1ajifHL5rX5TjnNNvD3KrVKBrGTNIx0mZkt5E7f5j6qidON7PjN5CbW5+1AYhwSrZ+gd8d8JW+m39QpkjGL/3mZG97TaDqU/VIqsTBqzS/beMOO1xLkG/a68BVZ5ahj4FivEfa1pBg0rnwS119qtrHo+WbJAUVpTK5CoLXpFy8d0I/kQBV6QinDSY3wIAKUHbkKaK8uebh93QX4dMRsD5GpdoC7QnkvR9/MMkJp2AaVbgkWy1va8U9OpUu0/MR9MmfjdFHCDvKYf4B2sGQ/+xCL9d7WwC7oAPYguUUc7lgujfWrh38ArGMrG+Jt7Pd15zvN2Nupza8cdj6jpierrSs2Az+kCzDCpnIwaTRo2XAmddBOEpUPPqBnqfUDtCGVYcIz1ibHULKjyU8M/FdN8YJBVQFLdgyZPn/tU/WgD3rYm26SYo3a3AWfEaucWEt6GqUEXTzC3v8G/ku4xQ9cTBHoyJlwdJPIzJQtPfi8HWgtl/Xz/Qh65r/nOh6pv1CkIXJMuWD6R/ZeW4skVjG/lHpn+o5cG+fmpAEG/79zmXi/wv7c1GgCv/RuYaE3wBAQ/6XJV9xIpiX48QuxS+cUTqnph/byG+AHNUOJYMKymhjdqzUB3brNwb/N5dnkYmOiinApnYdzgihv3lcmuIBnPpj5lqmFbipqLeBYR1rzBn4WqTWJQctr6thpTdmLo/ZimBPCgWYCuWfuFB4jOyppc6+j2cocZqsApTR6dxrNVmCuzvQqBs1XMCpvOeqfjSCuYN5UaTWCRvNTPc1MbB1h8uRDRUw/nNfZF+jKu+k1YubQN526pE7rchf0DFsS0Pgh8FEGnyFPAfk8MQyxQD9yINIa6UcGvJoG7SqAK3nRuFgTP48mW4TTA6/6G1tJdnCnlya6i9jM1UrvWW9tjkHr4mFhTawnEff3Kp+/U+Babk1n0D+ZqQnFbMuUBm0hrGsq5ht3m+cp34bg64+K4nNquMbZPCnPnqdh+VGM/81PAV1VsN47UioX2CsXrplFHQ48/rVm1sUx/Yia0DukEXdr7m/kQG5pgCoKuhxi+g9xE585uswj7FRWuJGx+mCgg7A7zSkzeeLyNQfhR0J8lEHvVkFiZoyY+X+Ysgx83QREIx3G0ciGuc+D/noaEgub+U6mE79lp1ln8i/ajey3DuinXkKcPiEZ7WEXCzN/rP/fPe3r3uHEvCWPzKx4nLAQWeZ9AoebmvsHXVP4b2bOMN8gBt5ZzO392noUuDkfW8wYD0+dmbHuDxBj3/YrH1mXbkCX5pnb2MDYDv6/HkEHyvX3fk0yKrwwtWydnm/eqfBNf9c1D77uJL4sEEsXyqaVduZl4x2NkqF0FOxfbfrLdeWqTN6PowbcqZiAf/Qf6ryF74h/yoG/7m5sterupHVcI3438x3rgRzEee4ZsD0Df13ziQim4L0Y+5KfsL8KMuLvWpcuGUl8DG03HVQM/GjjgneGMU9c0RNb4E9kC/At+9tfNPluVp7mZtZd743Ad1Nuq7Iclm8z90+ZGMLx/ohAYwTymq9tlLIGdJfpgz9xrGFtiinkLnpjsKeObDscgb0U4rgqJK8K9OJe82ubCw1Mxtdq8BYzr1eAV2Ax+NOCfNaxXwHP3NLIvrECmbwf4Fbv0+QYgd66SS2pCgn4loQ2kWFJBXtWzdjiT3jvF8H/6on2zcf2fBq2ZxW0iAX6SANyPlj8g7npg3J8y0bu57G+QKyYqmE6M9CpJw4x1G3Bxqxn6vICNOUudcuNyt+vKTB8NYKHLJiV5u9enr+/9DIuB/sDA98BG4JK1Q8e7+zKzMpx/QBWhObD7a6K9ihGAhSd5EfQDBnwt+lReLDVcPzY8pQlBPTgAGZ5P4bWHWxNH8OtlZq+KAF59ZE2miHBXWjmQFigU53G9YeD5c2yaz+bInkewGfAmolS+1nZAwc486BGPYh+s55GkonhsfCVJyfgNLz+s5vIPgOTRcxaLtQBMf53F3BzStpGMgTtDfxFLP0t42Yj2GNhHdhrMd1ZRGbQW5TT0isH8pmv+s30cc5gH6VdEvBBfhrua5xkZuGXd+Tca8yc83wuVH/xVCfHP98bM68KiZUPNs6Gh2VmbzUj+WSRuQtcnikHbqL4sw5MbY//rZ4z7GtSpGO61KbTmDt9qgI5KkqvdGXXsic/DWozbH1dy45ktXidA8ziANxDz+8OQ/INfMWPLAgw7xf4Iy6AI1YKWmNvqTMPvxZ23loimgc2LLG0ZSkHvckg/snc9CU3k8rAb+bvduYmDrx3cBtbxrn/l8N5Al+ageeurc2Du+EmG2F9UXnfQ4SjaEpza/tdr4nJn59Bf1wPVnLI+jmmXbNhrjkj+lqBTSoe4Z9TMfVpkPyAf96R1cyGumyI+++V35tyNn2cirZtottyKpqnOc2v4nAxa30Mpw+I1YtC8E5XREArAGvoKuc8yrp/C0ESnnNpZTEB4/MFD+0C3/Wacj+A+P6AGHQ76b8ZGT4VfFdF4EetZIKfLyG+3k4De9am7nAkoGuBRUJcUkf2lctT0F4f2FXHzPKWFPF9xpMj+NkHGxFQ2hb4MAmBHwuWb+PKQX61ote9+SzD6ViF00rM/Co7QTKW32QtF+bYKwu3B4gt18adSG7ydUeTX46Sk+6tPCYXGaEYO19XycJNHRKUIxwRm0y5OWBzEKcRMr9/5bRfc9gLfFCgDtUPBovhtn6mpscwlYfTmIhM+/e8R1VjTR8l/edUIxKZszxPNLmocGmx8ArZW/dTh+DvkWdlTwUwdq7CFrS6og2Xr7pRU69lZsq7Ahi77gkm1vbSIB1j5l3Sgh9OcXtIBWKK4aBBilDNDw2T170tzURSCxjiQNDFK1m/8BCDnkVEChyeBsti/fbA+7+5nHMGe6hh7MHASrGwMdPI1MKQsi9t2KvHDCBMOvyY23KubQxx0Oulq5fUmUjt2CaHuQNNBTEneeMCheCfo6yQt2MsH2mMpYrTv7xK8EMUdJuVo8wDDQa62P7+nUm4+r2ICD0GPmj/9i3viMNG/APPEbEBj8rm9BS1Qz22lJk85q4lHHw17IEN7hekHFmVAhgiWl48PyunHWuhq3TFJeftz2HFqxinm1qJnwFvYcvrlPBo3uNN6XJM4tRlq4pE0WagB5GpnTexkdmmzjY5NjG5QWwNTM/WVOyeNLy89tcH7r1vQpMc7MkGO9+Q6LGBv1vB2rdkRHZpZ4u0/zkpQlNDkxLWPCOBPkN8vSi7/QGud1O9ezTs3QWN3DaIT2Z+JR/sCuyENcHXa73eQF+FVcCnUtim9uKZU+aRQH2ktFzKkTss9D6PBbvL8bLhIb9kXZKeohLe4D+XWfoj69FFOc2T2tgnQpHaBlvseVt1LT+4l6scm1f8MrlKgnfInAGa+x/nYM55Vh+4HAg7Tj7r9WsD6zjJM3AEcB/8OZdHN4uz3VqdZwMjVzJCpACiPYFP4mBDNPpazR2mme9WIf/F8zvgsaBCwAEcT7zbmUlu0Sm0CaHm17IyuV0HW3ssuizU3S08+nKPQr/V4/QwrMkDU5c7laa/s4j/XWk+20eeZDmzcSXmIKfolffFay7TpmsrVuhr3iF6QqALNX+SXq8EdMdRzCIP2qjkKCBg16JPPpu4/chsva8d68lHVQLXHPJIr7AX7SqUP0JLYBPw9R0ZKou8tPmFRiqX8T+LauC/QB9q11/NWWalk6QamwcO2yd7znfqKFSv7UOFc59G7bei/qXqbZ3biFcUL6AhF67xHZjOEmIqG2H6Nb9vlPvX19HMFy9Av2jgwrfcTpKsVxkwAs7DpauBE0mMjkSkd+mGT9CvV26HdsUkAv+f8xj5JVdt9TGXOEwS0nNx4u2jZv21Ee2tphr859/+QuY8mQcJ6Kn0zh1Tm6PfsNP6oF0X0HNTLR6PBpEc97ZXr5qWjm5p5O14P/1kBYnr9Z9z5O1CdfJM7Z1LWPrgTMnK3dnAibga0ldMuZheDXmYeXvHOx5WlR1WneWDbtPOt8x8wlOw8w6OzM2MWxL/c0Cr7JnjRaA3ZxnITWlPwKDtkyP/LR39Ujl2x1eS4Odtg93eUQV+2WEHn0Fz/duzH5P/eL0esye2FZEuvirQXynXLcQi0J7Elwi1qUvuxE72cg2B2pZR5duDySVSYfJJgEdYBMwWJd/Ab9dmTF932VUFz2F00GloHDH6ZzrYHmjMM3PbMnPZJreaZ160ph6preIG+HjngtbLqLX1YN3T2p6quvh6HIV9OfLmqkbOQIfdDy7KuEMIc6YXR621RYpshCdF/x7Y/beyjxvEcdKqXj4qYJaq71dm7prcL1eM7U+57p6mRqMEL3kabKqYdYdYzg8OstKwTYXJOQpUKro2AU4H//h3D3vPwSOrcOPyYYF3q7zUVRy4s22ci5X2HgKt90ED9aYstErQ1fC/T/q8XWvOPxrYQSbvt7S2FeiTB+iXW9OrDeVJTrTWB9B8PL686jhMXybY89sLMPwhj1Fbc+w3+Xam9temWeUMTHzPtZlPkjxzrbzTWHqgozxzZ0VRyys7tSrX3OEtuolCCwML1S56VKDDCFUJHebXvR54GZQ2BdgWlyZ/eHNwW1nm2x/6BLYLW0vy/pqyqS0L9ahtDmyHD2QEjY/A2uz2UAeKiRgjGsrjKUSBgO8lwiUsTV2w5VEm+OuzYljDpQqwND2IMPIJA0Wcmz6lOjkyG+KUsBdzP5YO7dSYKRABOoI+XoAByr2t2oy3oBfJDPoW9tU2VtYSZGz5VBwBS28X5oZ/PeErZwmqQuHagZc86HO5IlvZyMpW6VKKEYv6KwnfNyf05fCRPCrm3eE9+LmZ4bKauXE2ZwJ8v0BxI96v4LN+TL/H3Lo4hLWPHND9xQAi2t4lm00v/Jw6XwvE1Nj0E+Cuyijo8FOhPumYYExlAPyYyDW11PB+r/qtz/rdg3Tl3eSWSOq/yZA5py4ZcYef5aiXTIOuKMjf7CozdyoPJfzdBHzUAvGXU+Zsz6lIcvhOsoQ4xS1MYb3vooD3OiJdCZOfiT5OTNpVwe/Ulh+pheaGbTbAF2C/mZP2jcvg32NreunKcxUpWtqa5MLzxIDPlYu/K8GvyvH8NN9+iuDfHYfbiVKScncamwL1jEnOCwy+kpj+/xCLwqXu5whsThLLTPFEM+GTqOPsUf1f/rx7sB6bXPtzHdlFSRVPQylo/+6C78U1e7chfvwoqj5ygUvMShveN2W0cUF7Jo1Gn42VWZXloZNOJGhRWnGk5XnrE9tPQeP45Pz+OnNoq/PNU4OZBdh2QiQQ96VtZrQAb3Z4kFkafD1rYBq8atvkOzVdAv4LlWbmTi5+ZwRpcxdEC6M5MAJt2pZC7Uz+9t6Znvg8v2xjFIx/SOFZ2JxOjOYMza6wix3QoUelgXY7+ZMH/gD/XlCNZz5sltzyyBFNnxmweu2wO8TmoGGIETFXe/vikejmNWzZi07FwJnVK6cd1mhILRurOPNOPdjPIPWpwG+UkUSxZfpfLr7qgA8vpStLxQmuOfmk4mId4ykjcbseC8lM/hUfvJ968OYUNSvotW9SaFxZfzOernJQTLlTuF/Lqwp0mCIFol4h0PsjaIZLZmYDCvDt5/enAN/IPuYJ1v6qLA80o/ztNwQx7ecYfG0Mo5mqJdDWoNeTcx1Pe7W+ZhPcNhlLMlija2UnBbfZHZityl1clEVb0BVv1OC1tc5cwSz31PFNU7DNkXl7GsNags/fO70D+jlkjGf/y2PWA/jch6mpywYTe5NXDgwGLegBN1E2oLJyk5kXaj71E+Wggypbg0dok1OQehiei4XkxjRZCPMw+BDw4aHRbRfc8x9sapf6LyctEsmH7SfvOPxHRSf0N5OrJGN7BT655uPXSgoV5vzf9eBsbGLvHhLYCmJHytDXQuIJXit2wL6o0Gpn+hNzC/WkAL2i5QF0XG56hldcQ9SfPjlbZkzRA97jiwGWU6wuyk03ErSFLHTRhPYKdnUA0XGU4PNZiKtSE2CCBHyeDkjMd03YkpyhEeJzX4q2MPOOuEYb0YHv6UE5M3xhbHn8L89y+8qrTIDldvD8+Ylth6YD+xCmn0wL0VqeQSt9EhcVEK+OyklwE7Wg8BIqYrWczvMH7YCnhT1whMDXtHc6bDXw/I72+kcMCT4x/VBgpy9my2N4x44SzFTb9pdNjeRecbxjvZeIqE2bIOmzojW9JTY8kPwE+npvtZMU0+awmhxC7EtHh8Bvl0Zzr0a8aAozuwHRRkta2/J1Lmp6N96IuDnpc5uVDCeUpaYnzxlsAvh/A9x1eaSRmWndrrW780BTPCjLrL07WWVBTM3BAjY7AHN4ZUfcBvVXHHkrRzgUYeKJyHv5w+Ak8Apau4DY0p7M7JC+3Yshc0rHGw9r5rG1fx4jeJ9uuamsJcWu9nGnHpQT8IHh0/TQTofkWPe/78YBv8ZSt/WUqZ0JdA6x/aX1WMpAdzoKYrp8OwJbHuPkkLkygu92gFVOq1UdWb6tSDRD7GMPiNklt8w5FLFSyh7w/G4DihZ04lu+mlm3Xpm7LbDwxFS/bCp3et2nfMvY1JSWyzFAuwo0LuzdIx4mpxlhr636u3TZowkQTwuZZCPKsZUMoLEsiGkXYgN3dXLg7Ms+hZYLfD/CZ0TlkAGj4istkFTh7uXnY2z3HrakTcPUK3XbU7etTE6aLKTJQbmkzmLxgcSqKD3YQwKeJ01p4sK+d1LB3FqjMLVbrzT9Ctb0ykM55NGieSwvJfwUYJ4X917AxjMSesMx3t2PiLlZH8LaTsBpssgD9VN1/zbc9Flc5TEz/SIE/qGOZJLuPPAnTywyS3YIsdB+Y7+V/9OBFwRV2q8y0JZ4/as3/+1JCOtM0rgNqO1njYsoDpIQ26Q196tNP59ZQDLw/Q8lvC5lOqHRvB4saWoKgjpEJINYTNC/Owe9nEcQiVyJIf5+mBlF5fg3C+lDUgn7ijxBf7llJ4+wditzySfsJ1IXUija27D/BvAPZx6+rxKplYnlmY2NlYoFn5AKqkEWZT/nJfWB97XfhA3oPTsp2WVtaPbayzgrdF+zm8OBvdQK0k3wY0P/rZh+LRBfgQn4vXalyR+5ZG62YvZ47i3vqTToPydJlKOv0uU87+SI2QaYbgJG53MTcgm6jnD0dy7aVWw7lmL+aTjonGi6VKD1aUQOGfUH8Onfewf8Y4Ts6mPL9xb/OXWqbUJ9aAYP7Gra5wF7MGF5Rl9m1hIKjQPQkqafvpuy5AIa528uzAmeV1qgGoLkraHJIbVM7Rbp0gKHaUQ2mFkWi5OL5DiW1mZhVJneynYDcZODxmS9Mn5n0wg7SsM54L19ARsYahvDevuPCr16tN4emM26Cvt7GiAL3vU5G1t9Mg0GndQFzm6JRUCTvS9AZ49SXB7Mhj3XzxL4WFQW+Gjdau76sumXM2e7x0kTYEvVKqTb0saE//V1nPeYyUSF5o7B9Plrs6wjP6LjC6ytqKItrNNlQ6NtYRitQigCPyII8g/AxT0wIDDlHNUBfoM46B5DzKU9HalGAxuJBXz3/99/MYjZQWNZblV83UETc9AhD9NrOBdIUGfrggavBMTsEnY/6NacCS3g571lfQk2Mq2nDpVisG+naNb1aHgN/YCfuUnQ6xBTF3MH+bJ52Ksei8BfrvqNgoYgZr5L/LXJI+ayCB+5jceG4Qdz7OjUzwfsfl3TgmeZs72avnGUybVksFbW0pUu/L4jHPy3vXeVyCna4K5/1SFuyvN2VJZGJJLAYbt1bxGwIfRpes2UItmRaPGqsLxjsYiD82X6mjiY8qockonY8HPDtufmcH2cwO45cBpnPL89Idaa+WHUvJNX7hx2HtYR4cPvjAgLWzX1OXBFzDWGv6fM3eUTOwR0OymbFRdg56Dh5iJ1Lmvq7B7m3pwzCewuFxpPXi3sjFOMwSfn0rKr5v/qpOYc1q5kU59xvAcGvMI6jdyy1ypu+7S3z/nH7IuPLfw5c+7P1rpr3FKHltT+Crx1BZut4Pu/VcBblU0+CJM+75CZ51iqDmy5y155REAlmvF152DRdnmYuPLjZoHW3mXu7ikKHYt+2ee9rmAvm/yYRXUkA/3i7B2dk+jrgQN1L10tMqcFHRHCO9jdGdgVe85CsjY8wfd8nWOb2YU0wD/VMLHfmQZu9pCoLU9xS02NGhMQafspBF2Qp2u7EaFiZdfYddACh5BABOotRdgjXZJTYFxTr8CQudtKH6dwyxS7vOLXru5CT+r2DRf9cnDsZzNKW8CqcGshoBFn0FcCA9cdmUpY35haX5m7jXsKlD6s7Ug+zNnrxQP/uwOecMwZ08HVw95tnMZuLDNz7i+m2Almzgy+Urd1hPzKNvUU5C5otiHDztQfXKXWT9jzsHe8RxPpVvU2o+Y+NOBD1qnsGJDvPMjuHPj4NKR3FaJzbfRBT44U4uqL2cxdDMROmQb4+zTKLl3VnlHUVa7UNUV30qsz4cn9vz4iQT22Ay+SVq6E1KvPQKfaoDUZ+PDvtPB/IC7hU5Ha2TBR1gMPFX/5bGm2tuZOjoAO+6mREqkgD9onZk4AI713TWM1s6J3RNjbsn+YtRRMp7+/N/N7wSNH1FH7pldjyn3gh61Drce9sqyFAouysX3dL2POWlCu/kact28sv90xJYOMVA7sca3i5kHg8xVLbiXEr4pKWg3AIGjKTC5f7fqhySnPQEMDZ4MtqiJzgb+dljehvFKktHlnf7mpA3piREZq8V0pthtpek7FuyWzL49abB5pt7MVlxXo8EvGuMhdIkCBnuuCg09p/Vr8r48IHvij0ZcnH+alRmjBY/Jg4cNmg/qrd+BW+3Ma/wED4Scw5c70HwL+kHtH9cydHOCbAgPfcmRqY+ajmWPY2H4EXPJxcMlPBnEMWzvwGThIeWbnH+8edsor0xcbfNmljtHfTBP1O9OEHwkKn6zQsywyL4UYRAadU+Ed8kGmVa89Studyt89w7+l1SacozfpyLaK2TM/b8PcuXms3w44ykx2xFPECbBKumm0+ut9JGiSV/aEWDyh8jxjMngMGPgjG8kPpurCRLOUGpUq1EhGyQfoulsz6ggo3JMUubkGg0A96DJyBVsmogDGCDDYULnKYXNtAv91DmCrqNkQy0yw58GpR6kysyNDlLJOf/AB6HZV64lJAu9aEtODZNzdcze8c6d3j+Lr2rD3azVebAJaGNYNtB/PjiH42UglJ9HyfET96xxAfrxv8BP+57QuUJ6sNezfEGKHyc1l7cA+tkHGgE1pcsPDclTAc6dhdvauptTUXZm69I8ZmT6EeSFtiIUauPAm4ff8ua3omLzOiFx5frfS8/umNnlRH7eHWnmcu+mzilBIhH0F2+5B26y5NflsTAhooEdVtBE9m7mP0wdd/zmpnp5gQTsOYYyIaSAOCUutjsdIf+QoefneJKXt4xioC4/581Rc3LpIUBUtVRMDI3X4WoWm32t/5UwdST+ldJgwaM24jjH42CRtmIwq5q0NvNO6mKyMzZx38tEMk5QhH+F7vM6WuXrOP/w5U4LIlFu4FaBvU4E+KlOTrdWdDCrLqOSmF1oVqEMTyQWj8NHEfmdmFRL7YnOk98CF6DROWS68ZzbIS9b5qehJy4J/r7Nlq+4UIBRoVpOvzzLgbc9v2GM1db3HKLHluAPr8GUdJlgycjH9+qml0InvNuYsL2dmtrya8DBPDZ/ARkwtkD1WsKsq0IrmvuXFvdJZEmJPBxzyM46SJ/jEI/iXz1PBFu7ynITTPdXJjyiAQ5zpk7oyBl32qSB+lVQloJUDjvgMukLTAfETVyPIC5kLTYB5Tf+p1/1yRWyMRJRYKdiD0u2uGUNHUd+cibvSJRuI7yLX5ZVHy0f9nB9iBC2DkkhaWwa6c7e3Mtf0QUlhLXlEggrxkYfpAoTjyNW/0v6vP1tu7qQay9s1hd/nFlor3lYU1us04ET16VKDL05dZR+sqTgNCewHdG+sxTvGwJzI1LzhZ223+8w0KnZmXok5zkZzbq82KvIq4uruxRtNR3JgofspnqYTJWmmp5450/9qM/spZv3EDs/Z35u6jqiFGKYq4KoSF3pKw81aAf9V/e6+X9ukNPeNsXo7wsemETZnvdbBWl6x0lXP7dve2n6CLuxPw3RvUHavex42XOEm4ouiZCQaO1LI2xG0lrTV3MRIgt+7mupt0PM9+LlHI7QlwD+LeBrKjn+Cojb1DqXpUf7fZ4WgfY6NrTJTH1GaXva8eYLHWgVTlzparCqevg/WnOYBB57ynLpA4ZHZP8RtPHhe1vRT2/DUaWJ2JwHPeLxz925rzk08EVn23klfbKOl6Q/XZRsJls/D6Yp5csh1khPgNNkvmMfN5tQ/7GN+cytzFjmmhun8rGg2DL5fzbg8rP4Gvn8J3OXIHGK9laC9Ow0V533J5O6/z5rycOcJLn+4u7NlCHYW9C5m9si6tse0AR/pfZ+CzDt10mJgP6RDP6ZG1dyTmZoGeGczNfNwQ35gQXs+dXr9zYP/2O5L218qTrrX2bKgpJOFP0CMdY/go1Tc2L9xlyapOdeEldIS1sKcLZ+G9rsaiQ28YDOeiBPEGBH46BTKhxrsUa2tmVN+SJ9bh+nmfjIzcWz8YrY4G5TEoOHxcAHdsDyB+a6CLW/YeXfTEJ8z03e9aFOG5KYathhikFv2S3DqQthrbaB4Ytb/AszTkXXnCmTu2/4tDHQd1zoFjfaKX0ytwIUuvJv+tqG99eR26OAV7RWwRP6x/YF3gKoB9mcvaR5idgo9CvroTp3ls3bAZ7PJ4Y495OCK4P0lpyLpYekt4kp+KvwC4sPLRx3qkC+gC30Z/7tWqw5SIZ9cwN609Qfo6N88cd7jhcS7JzC4XTneoRz9zRG1BXH9iPR4A/rvegIfQJz5jfbofAw05msSH6wkxH3y4igzm3nJuOR5aPoDLzdzznti21tjtW8Emb7dygVd3DLwGeD/nxJNeVMQUvaEnXSbKOeyAR0//54nj8nHCfyXsk1bwd/9Ze63X+dsP+BXvo8Mg68iFdUZ6P4pBJvwuGvmEk92ZqEzP5sef6g4jT4/Cl00nO+PYlpFKHOmdUFGf/qtj/iYh6bjx0yoOC++rrTz+9TBb/991ieJpgSHW19aoZk9EDKEsjT0cGojBH+2Ax//iT/ArHnS0W7nwLN/5MPGVdHWAV38gVdmcuIC7CRvp77dge7Z5AHOcNDGpPtaQU+88ucn3KsFfgawjT6LMQMb2jnK5JoKdq8/3u/NUN4p+roDizxOI7Nzwdwj2i2yI3spvCXvmisBXc7C1hbB7pmetz+pqfvsN1fQ8PExwq/zeb8Z24IBBzXn7b0ege16vcedTqlunlQnF9DLQRWiEdaZVMDN8NygXb23KoJ4504/kmr34MqN6UqY2u1Qr/88GV/czO2fpSWXik0vH7U0FpmEmMy8prcj+jJ3JDlwyyTgmYBD11q3T4i8rhh29xQpr7HQ2AyefRSXKxbeRxrKREU26EnQ+EUL/vG2Mo1c+jGLY5EMSiyv840g06BvHN7+9koMEewgU48FvgUheDfNtXQm/xRgU2F3rPotqLfdNV9JKNi2xwF3+LDxxMhpVkznspi6skOfpjd1TXdujbC5Y37VSb0pZscQNyhfMSf98sMt8g1+0TY9c+owdMo+wYpxF+wtpxR9EIpZCntLhXNLn7Mn4tCp4tBtgtISAwe9dnuS3l7SYRvX1tI2A/rLdZQO4TT8zdtywCcC/6i1Grk2+dWCJR5hOAAttTY2soBFDjJM7Nrl3bFQIzzzNbfUsTYzwuw23K/+DjSn6ak7N0yNZj5D5syvdwi6rb03Yk4p58ApSVD18lhZxAdtMwmuF/Al+Mj1rQnbezlo4OG5ZFRN8Hk7+PMTYejMgNqkNjWi07005x7F9Al2cpTRYmZ5iP8+C7TZVIDvKymawtyCn+kmjLp45mub1uDh89WvSoscSexLU5OSD8uGuOpchQRTB2JajFc+LBT2/jPT/aaOtKXYxBrt/wAzbQ726+zr5qX5FhM2w4JhXHIG79HeEwbvuk9CyRCpVkQlrCjwsJXbRJh+sfvnluURMvWfWY60xQMlIBbodCULEIPTuEqXRfKAddsDy/3VSjfstjYBeNeY3xUi9BQnuyZqPe7oEYdTxqzEFuFyU6MGX6HuoJ3vEK91NqbA+PMtpT3wXQt7n0s5PGxuzuw1fjMZ6keIE7D3Xhxlm/m5B1dPpfA+RazO2YDTfIWYO0wh7PNbZuMzH/BYM7IzeZcQP27KlW+gm64qXP7LcdImx+n3Pspod66nVkSLV3NJ60G/zirzUz9XTbiAsn/czby2evznyAJfapE+QcMWIja/b8eStXE+bNu8Jw/Q1VKgbK0FnkvtJ6dIQZRTECtAeWvUVm5ypCESqet/gqZ63Y0+Ya997y1S1pTbJdc/+Thd0xgJGi4B7Ekrd+Tb3iZeU6DvHJgL1rWgSBrOyoEXhzxuuxL86N5uzRncWtvKbobe5lwOKVWmPvMv13HvZh4NfJrTNq5DU1/ISS5wykKU8d+8AoiWXWpXegJjV0ka8U+TM2/qBEisvRPVrKG6BN6f0yj5Pp3fr9TqN8d8C3yEOtAF99dZJY4hdiINditBB84xOW9b3CnfaMzTKB3VTwe6KvsU75y97X/un7dNtUpT1/doOrC40ajcEGxOZqWDY7DDj6ovr8CFjqmJrhl75VU+4d385suTrjRzez/qCKc4bIEVQIsw0KARaB07WzONonIANu2V4CtoXQRPa5UbYAoJuq/MV5ODpgIzt0cxfQEfU1XCprzTL47K9pZ3PsX+DJyMTf2TmVNHu/azCsF/ddjMQaiM1jwh2dUIvVUCi5LqQEQKvhPP6aivv+xp+99CbD1qXSzQEr0KkioXLTkN/NUjaG24LEF3YWwlBV25n3Fu7qjv8nlbRIxuPE5+mkAPx7h1KDD0b99UulsqcXGaIvRYtHtSMfnKxtnBQn7G7PC3N4ZFZmCoXf6cXzbf8+jhnAQ6qFVa+agGAmySxv+epEjurMcHox3M7D7QQYc0TlcBcR245i21UAoceRF8uiqEH0f+5dCQ91yrK47VYnrGk2H7PMbJSzt8smFKmcP3ZRE+GDJav9kYnaSC3eNUSNMnTzDT+6xDZ9HDrnaWrhzsIf24ucDEb+b+DPjpmEbZKnnm7F0ArVX3RJdrafJd/3TKbclZ/2CButbWNiyHiRPnYWXApJT/W7i9czJYKxnq72aYQ8ZIn6/JR8ZwhbU+5A7Eya5F0rKPFWstiKiCDPbDzDeCiGdTq93Bvn6db1iMKfBH6EYjL8RUTxB7fzhwUF1MYJN2VfPekud3+xgzzzho0ycW7AB85ftqZuNSwT/ziLh7y15z3lqpgy5kxUgxWbIBdBjzXp8Flj5fCCWZLAjK4PuYOTE0wnkazkc+YtOr9gcP7K465uDf/ZQkeST9gxNaJ+6f95b6yMYvW7rocRL24WC1+ybUbjrKJBu0i1cc/8XKUJ1xPG3IoD9I9GXXDsZ5v0gBmiwbvKyxtje28g40JGgKOzs43p4HejrxiYC9PCT1sehJQYXtVRrBr5Ncwr5UEBVkB+zG1cs2WB3aKxmm22FVF3M2nYL2Z4EvZHhzwFE96egTEdmzyVUjCGIAx7MK8SLt9g3z9nLSKqtCZsP7nksamvm1WoX2mDO8pOFW56x9sU1ItX402tyj4TsRNsk4GmthLZV7WcmodkzIsrTbqLR2Gxnzig3aOY1TKpmKKog/Wf9uN0CMsGerdEVPYKOrANuu7dLO++mMuXzls/HGSmK2kk+w6aJxSKaE3ZdCUWUqEbl24POcRjdOyaa57k2XKlU1TM58/O23cayEuf/QS241Fo/mEeLNLbeMBgVNMoCPgvjyujfPkQ/xkaw0lOTUtTKniWxgo+VjcgcfgWB9W2V5H2JgTxb2Tl7IWYoZA8P1NFQ31lsrddMn2Lq1X9sdxBkN8eCTsYsL77eU4I9euT1p1BpeXaj770qYAi2uhpJ5D7AlROPEryy7JNayZC4idW8DcWwnYIYgH8M7E+BGQ72vI+ZUNvoWBfdMnbsqkgBYohNUPgRrXvNGLXNGJTn2f/PzgnBj+hZXcWPJgECcXOiRk6eMkqpZEw6/h3euvNLk17LtQwwPS0SeTkdzxzB/Vqa/JdIE9wuRgQQt5u+z/v96fqbWl6PMvfMqI4HaD6aTUGiUyCDZlC4WoN2KpjA12aoyfWmJs/3AnFeZmTb3OyNsKogg2Eyhlc4cEsZhneY2DxeniWzQCH/nvWVqcu/FlpocobTf3WtNno2QfjZsHM4xMEFjerq5oMWyjIGNrG2bWgtuRtWniKDGllpw9QCeXerCP/zeV0Z65oOeU+tyL7u/3NRM2nqXnecf1TVPKbaLsX4Va8aY56fI/ynZ9q0EXwB8esvZ5XoMN076McemppetPq6iaa+cCfxUQpt+y1SnPpquv5MVLalT2lykLwa4VmHrmDpARf95gJ5vNN9mnJYmb/SMu/55FI2LTW1O9HhUYBtgR23umPkXvXVkwFk0uQBbkTqfLywCBo7JrhxBG4y7FffvJrfutZcXcz/M43+bvdtczZ0lFnZX98BIaJLc9RfmeJ+wr37gZ9i0tx+819jcG5yi0Ctd3iuK21OEmTkzP4CX5jGWEvyiyGcJz/ngNv/rO8fYOxDJb38YXgnwQyOJZK+m5jz3GMDN9KcHal5qPs3gI8GXpivEijcc2p8SmH3vlJu9I3FpvQPH2TnvW9k4dkFj/qkKbh/R3zlbf4TYkZqa4U5q7II/j0yMl87Bgu/Uz3fueC0NpN3k8z11kwFYBVXcD0/DZFeRmYNg+o+2h8pZwPd83Wnc2HScdA4MU+dbm8av3iywXk5239tTD5wtzXx5YvszLnjLOP+hUXIuB7kxM4FOYeOdOrBHWG+M0E/Wf7mYY3mMuH8CFj2izLyvt4OlfiRob4VM/YkGJphefkOocLfUOjVngV2zfnkq0t9g03vVP9zUnkCPlTYZMRegbUV4sWuTR94jSd0Q2Fa/4TW0qjC740i9HSN1PUaeC1r7yqNyg7X/1tivc4Cbg3ueyZCvFXzHiqMN75IF4hX4RG7O5h9USIjBoIfX3QYcEmhLLGsN7Bluf3Mfa74Dv9KezSyXuv+y0gCBfyMQqb82wD0xG/76Huyq5zw2LHnWwzLxfPspqfZMb9FK6wG0dF8J78oim6a6t8zso5ISnOokUsDTvEBGD185m8zMW8os68FisqYUBZShDR1bYOC/PoHwZ70EtFdS0a87i6c3SrHJ9YGI+rVp+hmiZ+mYeVKpqZdcE6IK6WAzi3nc2aZ2uOrAZm1EIc78iCG8gr4HzZSk1cr3p37pacdfZ+aWZDrnhRZHYfMj+1oqa/ppenlNw3ebDoSlbN7AXuWlmXVWtCWzVJmy5LsJ4Zk18JQFP2dtg0aXV3MyQWl6TTt/MfctEumUhrP3x70QL35r7bRua8TbWsi8pBxsnd9MN1ymsdGJG9BwfSpmAB59wLol3FVv8EpvJEzg3egxc78WCf9fGoGdR55DKd8ZPhLnOX7pypLZS+XM7jGeMAnknp63QTWoHnhamh5SImzPsG7oCFzNOh9+nJ9gymewC8zsy8Nk0coIvhuTHhZYEktegEWWI8VOOeye+P/qEA+pa2ajq53q8NPcc5T9dlc7PGImf9NST0yRXVqqTQeVm7w94mCT5fOsI2JnlsntVi03a4TIAbh8V8eTXQ/yrQrNzBfzveXL5m2u+Qdni0xR+53GScHMPX64xaCvgKE4N72TQGeijLZIfbw7++dMiNN6+cDXXEy/Mxtw4EcZ9W+MZhsVAvfofw/QrneCyCP92L7ODz1zf3gyXUY/thuwyVtjef5pSB+VM5Wn+AviDEnlx8xwZGZKw7/r2Z0FX3cRS8fMl1EjSlVHJt6ptAH9c4oSw7YQMgnEVoJk/Jdza1HNU8LQWCFeMGvZABflxMROkfRARj5zWgpMtO6dLa3A51b88syccGU2v8hhu88EWoHvnuBrDsraAB9MN2BAzF3iS2sSJ2a/zufPBPgVWOYqnSQW/HcGOD1Gdgna1T8Ffmhy1QRSN5NnXVPCKtd0Rkc/iurEzCgAFaVrK/k+OJv1pOU9FdNbTdui6nCWuX5x6soX2zh7a+PUNiqAkyR17DIfQSFZuMcsiauPLcU2v4HP6ZRFWMmzJ6z3mVseg/X6Tp1WV+Y8wPJQxdhaRe0P7JELvJe4icMr43iEd/M6q/yW4InrAXRPYfqHKdOfPGyoOuIx6YDZnsD+B9o1d2yOB3gbHZxlB356BC85gI7cyaFts2Ep2OjjEw892uOgDpNURKStdDub+v+X/jJ1FhB/RVkkHHRwWRey5APwW8ydei2fJ1OjZ85bYjKltsZNBNtI4+J3JjT7MrMngkr0TzH2q5lbxwO/qIov1+Q3HHm6lOLvjGiTO9M5A41V9jyF+G1mpn6kVkIrm/A8wgGLZAn6RtdCj6X+uiprikHXBSRWu1K0FWgAxI3Pov63dIG/+9TjcRvyEM2nvr2buRgvH0UiiIPn+a2xSErdaT0VyqJIRaKXwGH2f3dSk1RAZxXXM7GSCfS+OYtbZdHGIrp4Mpw4jfRbaXiC2cCAbcFFOynKrYw9Xhzl1BF/S/tZiA7/gP5gsmus6gz8Q+FZ4n9XNYI3EvK7ir7WupPAH/qSgsXvnQW43g4g1iUqTm7gX/y0n8IT0m1T6D1xW1kN7SPl+FUbeK4hrtJhazV8yrJOr8TVaSpA94ubbXpEwLuqjgX4Lvsf7DH+2x9WhF6votu9dLjeu2pTD97bCeQtjnhGhDbzsCLBlih3zTys5JW/ER9j7v32LdZ8o3i51PltFTwZM7YEOGYbk4FZnrcZsZrn0cxiN/3le88iq/8G8eVS26CnuQ/7lrwd1hbnJveAY1hfNGDLg8/H/+mv2x3ew2//jbzzj0bnZbZCmXVz0xVYB4WWFPiYRswzNXyVkDiHJQSbjQQ3/VdCD54pO368u8cAm7s5U2Ng+ra+pSv+UZHJt1evvOWE8dTcI9ybDnS7QKXpRnhkXpQHsq9jfQVtaNHCv6RaVWmgN3xMgbvQ/DuHxOnv4KOHvGMLddKrueNNrYeLbdRhwY/qY7bqNfl52QYP55lzn5QOiupBtVWHZjNbkmvVAiNt9qC/Upcn7OP9nnHfzA8DLpuywwr/dDxHDrcHOc/nZrCR4P2GRqQDv9s2MTyDhSQBJvzvuQgBvcx5asE+fIIWyM0ePIWtkMjUhmcmB+peiumR2aaztPzhNlqYJq2I3q/54H3C/riCnt6xsS0F1XaN/CmneD2inWX6/4rw9sqRhj2JLdmV9jFcOhLrD+pY1imaJxbrs2DJeGRqhXi8MfXzoM8ciNsp+KsDXTOX5e9uNUqIW7ioesnBx10z8fVQa/KWr8BjKPkG//h/fcyGiWXApmTYXvcrcxVrLBaDH14xr4v2WSH/iovmyRzycyyyp1q1IIKHoPdSIpYb2AshvRaNzWcqto+T9tvanQLwd4wAG/Lxr9bsATZjzrVIIxJaUy6kA1qP6h1oyIEI9F0XOAGGiasQYplQUcblMeV6rAOywvfsWAGMM2ZPhpgLmk0o0P/wTCWjzOUj/zA1/a96otyekspREvyfyFzpHpG5i5dEIdyBKwYe0gu23t3Ugj/D5SJ0UpzACEQ4fwrdmveBU64O3HnYsvBFU5SmFs2rQvXJRv0px7959FdYmy4PlcmRSiAG3xno56wjXRPrAvfbN/BrMx+BGwv+e691WHcPWpjv9O96GlQADHxvAh3mFs9yZ/7Nd8xGnRzDi5sXU1yK1zz6272O/U9ghYkFOgf//pTm18DyeFgG0ZOL4NzF/WYDP2sxfZTyQrnE9E8YgXlCbs6P2mOMrgdncv/Xh3pCiuGrtGVCKMqOQfI6W34DnbPDZvYwRB86luupY1fMZb932rNki30Epj7F/koGCT7FxMt/ViXMvFXwr+Ky5kYORvLtKEqz/3guZJzZ/lttTflpaA9KqNf8FAc47tiwFoOOPJyAu7KC3CsbXUBTHHOU7LM+SU6d3+N+uedxaaUugYXvV+lyArRw2Rum1MgDtrinPTC+VQIfJpLYpSto71D0ssMZVubfyvvMU3YrTrp1D7ZfYOalZfdlK7FYoL2PlQCvDPbSQFRSEeixKHnb281SRcT0x60ONo9o3BZZMd0E81aIG7boW016fmeDfO0v0AvNYnpk7K35/zH1bV2K6lzXf4mD1GgvGyEgSixCDpA7II5CCEgppciv/1ZqP/b7XfQYuw+7lJDMQ7Iyl5uyCdcU2BWFN/Blm8z+63Chr0IAnnJEM7E9Aed24Gl34KNYJfiFxcw9rGRPBGjEy4zPzLucxRI0CEW8RyJF/ts7jCVTR/CSlkDXVYX4UvdTynq9F4F0aT8tOS1X7qi7ckBhdBgUEHCobqN09HXZkR7e9Vp2+LuOFlAWmccvfx4ykpcS9HEVyw/wU/l7zmcdF/w1pzjUO2J6PTH8zJwpkvC5LAbbLDToEfxDwv7FO3IgCO15MV1zmm5Kmuy5O+1JDNreRn22JnkmvAthyaFyUZbxxAJ+fs8N8JSZJ/vlQqw/VmWRH0nxgcf7h4Jx5VaiASM/yxFfzpEGBEe9KBBo/r3bFOnSgP+nugd95BVy5DaLJs2YarOC3wQD/xqZun/9/qz26JAVX4DrYlA5HcqFMOc2yYkVhLIOiXOIPnivW2xLwDhZ0ngPz720CiVHwAuTk9VlPYph/j0wAy3hfFk0QiWxVXDWMPZMvfe+KtDkD2Vq/1w9gQ8tGmvvKZh7gJNVHtofJ/AZKcxH1bV9A9o0tb6euJfRKUhfZu9YBX83p9D2SSSz3/wHOzlJm2R1aEe1y5F8bd96fjmu7AU6amocHVahTHCginrlaYOkCxrkQAsc1bu5hDnl1CH+MbWmrEB3zqeffITvN5h6HNBvFv40fQBS4Gk1bJ6UEdec0XGbvMewL7sE1PuSSUZA+3kuHdqKhjZoQW7uGq80JP4plslZTFywbDU1IXxEFvDAlVscMZStp2LCae+tMFcuMmbWSZAKfu7llG8zHG7f/bJHeHdH8CW06vxSOtMd3puowiSQg8kPMf26VM6imeOB/PaOywo1NhHJYQzXo8Ux4KsjArXB0dxTx2MGC/i6f5wDlTLk8ybfvu8FxKxrB0y/LLw2N8aW8uioSRWhfQZEyTt+bBA/soiIJuI/3MmeGN7LaTcfafhcaZBtCGByjdCToPDJIvATa+/BZzDpyP68myVg3tvrdayfUB4l5Gx6tYz9jZj7u0JRWiQVtXoXfPtF9pkjUBJRLnfwzj9NpgUNcETC+5rasifOvNJxesLaeUgKHoJzeuLtTYbzlDmSvc/NKccfMgxvlNmhXMk3QXuXWktXmfpCAe+gn8ba1Y9s5BfwDK96BC+sZXqwOM27Ns1RaHIM19xqSd7vFyFCJzfdRIukJHES5EX73iMa+Ni4ML8IFQqY/I/d9FupAtBLAwLNojB8PvgoXuWUnwCnYf3cn4pLL3OSY8nbHxVw3bgwP7gKQYNdSC/d0iH3Cum+Fu2nEvP7DDEonQllvTfjyJwt4AX8zZA5G0cKb07tq0s63eddMpRDu5OM/whmn/jYpjyURJiMumF7TwfyUjA3zH1qWGe47hV4humntuW3yQp51+ml1rZiDoYx+GP6WuSk8Hc0vFqVY3eA7R+NTQ7AD6fKweCDZVcNc8AQz/jQA5PxUQLmVoEuzjx166GVPDJZdmgHKATaB98AR//1Uc16eeRMXajRS6vpnQ5Iyqcg7/FHPraBDJd72mPQF1/PygI3Yev4JLywHGXeBLhNNS8w+Cch7Mu5By2F0F0MdltzFcE4SpPh+a5ZMvmC5y75LNlkmSxc0GD/1Uz1W5Ptf4P/vmQj6O0oXEDf5tVo7jr76znAT9Cvn2nhnzjCoOfsrHYQKdnGBrjtaMGB5/z8FCbv+sNDo0uPFgTmLY5TNF2YyVTu9VU5f54mZw58+k7wxjmu8sNoJMp0eu4tl5q7C2PygrXL03x7MfkbMtAr6F8C7xY0mTo2IVqkQO8xbNNRY0qTgToYsBM8d7EHz7F5lRxZqf57q8T2W4SIyzABe6oupTW31PaftdgWwFNHakk/u2zBACetycpUNsFiaNesh7FlpC1d9J7zx8OKfYG4QzTygW8R7r880L7H0iqd2i5vwJO62s09HjiMawZY157ylVDwKw/QHRZhMMft8pnH7FVzKelIXunafoLevxGkT/Wq3prt2lhbWAN3OxXKEh2pTuae1ZA9xWU+KVv7BLi2ZncPfuadoHKTMduqg9Y+R3sPsOpHjZNXB/gH8H0nA2QyLefSbW+56XXjyuwsmreH7Q6WTjhN+rp/gr4gNHPmY1Ogx7kADW/6McKY8QLephPe0nHKpWgFaPw1t5OOsgk8cfiqLeXmGo8pSx6sK195J5/pYPZZlM766Y2HlJh+pcj3Sy3vdNi7ZdcsJ9qWvMPHNJAeY9sJsDBmPV4wkr7pNZ453sLchJyo+gEcu5u+x6a+Fzu8rIvpAm+dNcHfBxv5pxD6Pef73PTD7acfHLcvKtApA+0POoE1I3CkVb5O4PVAsz9TdoWfBdrUsfcnSp7ZimFtgqfV2GN2v4KWROAlfBUCd6y+dw5t4BDNeGS/675EwzwNHihWTuixMYnqCH1XIz8JZpJiEw80cCIdVDWBAp2bLU2ffKjf82SUN2KaGmsCXMbfzJxjRqCjhu1TwlznbvtzDidMRv6uF33B/Ludka4Iw6gC7QEc8llZ0yCju8mPAa5pezm20cH2J9KzVyYwawoJnId29evuYg7+fdWcFOR5ivR84kRSG+bTeHWzHvwP+tc/peTDMpb2l6m3jgFX8oYmAS6mhxDt7b8+RB7JrSmk/fLMevtQRfbhbLxpjHCF8FjZRs/glgdEE6vdq5Uw8A8veHcDC71T6vxfLwkR8arW16UGJ16z55qjv/BLuWLs3Ry+fd57fcOmDDj9KGj5lOCRTiiZgcM4rP1j44LHXmUPPmpPBl3UbotzMUepbmzwsegskP3ecyD25JXij5MP4G/huxxXcuex7+JYtTUiT/BVqxivD4qmD+xOsYgSJ9Ua17rZ1GEG3kI/CfevGBGeO7rig8fxOBUlrHXgwEcaNm+MEpVpYONsY9CTHLgjP/ccZ/TrcR7sw8Epgazwk1PknSLwtqBn6pFnJ9rb2Ln+V7tFSxfb5GLOPsw9GpMJew5aRkzOmalVd/7l6V3kiPMc3AhFaAR9Z3w5NfWhMCfBz2r/v+wwrcFNe5jy/ExbnjmN1wy2U3aaYoHtE4I1OsiEgt+Dtb4X4QL/jxrMd6mCf/VRD/DK+uDiF8zvU53P/90XstSTDMlJDb1Nhc14yGwK+uXoeNrUHBCTvRuYLPXpgU0+bgxz5LL9zAuZUd7cUhvjym1FtfqaFdf3XkpaMoIaeB7p+gh0f8hjnZlMMTXqE4knjwrw0H3bVq76BM49kLXVyuSyIFBQSJd1QGLAMVNX9vitN9OTnRqfGGWwnskLMOGt5/NzjDr+2h6wKGFcvlzZ27Y5o2FxAryJytJZCHa8VVmhRwZvqGFt5/GXnem9yddfatORhCIzL49pj2RFk5EX4NGsP07mJqOi8r2W3cr+65KCf6g4XSo0zcAuM+jzqu5SwPJlqDupU7NTo318YtnzrBPP9NMCPWEZncfy+QNWdm/yREytADEJLqh/gnf6EOEEL0CV/1fPhj/Z2HYn8AM0n2fFZsLcloGuwyzywAnjHPzC2gzTSTk4AExoVQxr2Z2yHDwP0YBvMcqV+PJwP/emm5LpdyREYvyEuc/+zv02/Sp7k3lVduoTrziQhaK5q1fg9+O5wB11rk8q4Pf9/cbj603As6vO9GJoY/g+v7m2v5k11GT2/33SUZY8ni4CoY9Sgy+Nk/dZ9rXk+pIyc/d1KlVvv2jsY0zTlTrLR1ogrqyvG/jsHeD5Lh/sb+72Gx6ThNLUkabG01XXcgSfqQ1mNK8KtbPpugEj+ipt3+Ruvr1Dwgbj2/tXNbC1GlGn7KmnfBqyVV5zTe6ngG8OJhd2BJ8fZbfDy/RbBf9v7oWOiTwVJtuTf8gC5i41WVjSS+ne5HW14J2icz6/z827Rtyf4G+PoFVCKaYbjOL+LNQddNlnDd/uRPkPDucuY7wQUZvnQpn96pZEMH46dDJTz2u1q9J/HyYDKHW8VzMkAw7ap8y3jAzvXuozYkE7Zyt3m8ucnJn3LXqJ82G6404H1X+5IJtMyBL8YwG+PmuChOAuKcFX0VJnFgvnHzxsT6bnB9cohO8C/MRBR8EzWuErt5L3GQc8U+LmTvpimoenAqeM4Qd85i63+YFwHAkxB4ApP6bv0nlYkky0btkj0PfJvXaSE119DD50zVfzvOhboKtXUd/c61/SEdOm+Jf5+cP1VHFneZr8idzGm9KWUTkmP3Uor8otX+exd86FwhX4xdqcSggP1ZftRz5sHiS08SloxyrkoQA/COu5FAOplJ7udFSFGJYHoMs7w8RTTnaj/d6qh+WuRPLd2HLKrBSUPb6B/39VLKmaQbHKRS5xFrt6bUXm4p/MJZMC/5ez1qoirpVmjzqcL3zYXog1LQYz6tU/wTi/ufJZwboj4CFBbwnOwP/odgYfalViwc1qziqmT6FRWrm+cwY84Iw/DtaSnyLyUTv8B3DYxX1jMtQ7bG0/6lAvROMIuLVXZk+K/csiGHMOumG31SwmRFqmTwO3mjVhJADcM7XdzrQALjDwQxl49rBijZMimWfaZAzrTaZhnYmWEMveND1YB9cPBcKPE5uZCC3TzOhfBlfukp3SEji4XZTpvaYV8Cm2edG/TJ5QFSFT+7z8ZkyafY0iAc5DPqiLnvb6AHrPqiiJuGvuAk17Cp71zPSm1vjIC7NHzv/VmDUrT2jUm3s9gbL/vpTjmT1E8D3oxGz0na/JC7RnxEMTb4wiUpgeSyl4JZjnXN3Tzod5xMPc5GYhtTRBv5EFuJTe9POFdz/Y75r2p6SqOA/cPiO+VKP6kcL2GwQagnECON6DnvBwtzf7CZmCP+Ogfxo7WVMmYcZ6cz7yCgwMaCC2OWv/I2WmxnABQdG2xGmT0knetY6bJtKyZmrX/GaEkM/U1i6Lri59bZ10bW6Sg6bt2p8GMO9oba+swOV/tT3LC6/lUuZbT4n0ocR2Q1HbcUcuJya/+TDjqsM+6NJ/dSn5kC4HN3uWYjlmAzP35Ltz4aeq0/Ae+BO8+3BwkjKP7L4q9JWv/Q0wZT3t7rdzMf3eV69X+WjYn0c54E3T9W5j8/iwwuex6Vpp9PbmkclII3pKzlErziF+lgUpwYOCHvIPXDMHfPQjB2uUFb3TgEUlHZpMn93cBj0ct2bt3ijwOOZtUAr5AfPea1zw3pF0MkZ+6lG+z5c/5ZDYqYOtapg+zNkCDr68cywvKtjbJ5EUfHja1Lo+WLS5pW7oNDFKzUZTBdhYBWTKhPJ/s9VDgkCzgHpm4Il4C1h0hzVeKuCJNy9LtkR4bR4pRfdm/Xoc3enjVzdZfGQsCc+XP+CRywc25ydxajwjMXtrlO7t0sK8FijkK6nooCbQBQ7t1Xfdm5wVPlXOYjJ7/2nR4wraeTfvD68Znp84KsCmf8HURPOGxjIRhdpwRk7gIf1sVezMYC24iLOVmXqvJ/jRVYjlxm34njBXTgU/nc1ZEJ/Civvfpnbo7c0rbnpiL9nB+mNxVx6qwXKavs3AVyK+8rLi/EK6hFUDzNKC29kwh+ByUEWxD2tkViu6csAiEjKvin/XyS4NgFuK9ptbqjsP2+9/3qFH1GQE1CGaGjfxTO+aZthWDWuzaoXvTUEzhERiZ8nBr+zIiGfD0Sm/Lsc1Mz3gwMfME9bk+wx6nUSY1WHi8SB0BON38Exvv0yV5i34+JU5MGYh7yn4ehLjNAV9c7BahiM8AGcUOTwMBX+QcX5KqTS33j+51WKYT5G5W1mbukSb3FPWPpmTfNcuNmvDbvj1X5/iisoy7QhponKTR54L/mfkLhngHVY524YZLRfQF3PuGh707TRMTC0ekxHal53ciBDfFXC36PglDRdMYO01Fqy3sLdJNMPc/Of1NB3aJy0Io4Uy940d0tsiG5KnyZ9OY9/UH99FATg5lkvOyKPsp4/GgrVMM1eOVwvm3yfoqEfdfS2sSA6lwWc9SW6j+bD2tuTyvZcywRqfaNA8TqG9HF5/HqClKh7qi6JqBjULnia0mgjdwG+HjatoY7VZacNa7k1fe740IbrB3CjLHn8o0McMtT9ylW06Tku5JsRo8re2gbVBQYdEsB4L3mWgm/le8ZadQ22b3vJnmsGagxUK3NsUvvF+H6A7T1XgZ5mwdQnal4fJKMPmJSMlc5YsKsKvclWBWlXfRP80AAVedRiFdUpJTq2vlfDUzpgamUWOGMFccRQ+oZaD17HrfjnWjr5VfDpQrt18bI+s5x5jiGSd77Aw9DCTJ+oqfFzbLKP658zS99wogcvGkk1lVnytwJEfTdzYytW2Gs3Z/4TTgUgRSq9yyoW5ugQuBX/Ef5oBfP5g78xdHxL7u9z1uXRmVHP8we3Q3DtGwN3iJNJ3dsRVsPlk9q0lZQuslXv524+Nd00oicn0zPU0A48SGiRHaZvMtHlKQ/tl+n+dWbZkXAvAwQsZVFGL0MEiYRIhnIbMeN+AafTOFckl4nlZ+N9kTArghhfokbwSW1mD/joXf60MJG5p8YMaOC6tbAG3ZRFENrIjTkN9k6MxMk2SnO6dxuSZhgvhmnNpq0L1X7faku/cnm8YD17HZDH5ErXZGzUZeTbpKrsx9e8w1+abQvJBO9DoPNnjUPunUCHW/d3QLtGwqsEXfnmgB28ZQ0Fq9pAC8Fku6BPX/8R9+y9HGg/zqwkTnLtSm35qWJhMen3LdDKWa+ur3RaQIwnToD00XZJwBC6d6mfW9RsSAv/AZwKO7dNC2SJ82rBeXuCpLBX7Emv1Kp1WvjkFfElOesQrWL8w9w9EqLlyNWGOHsAn3eH3t4rZBXi4ILcam42gqIbtoWK9k2m2wUMrM0EKYmcmcwFGRPpZrxKYb8j0QmN9+Z6HDuiUl4rNHrjeAchazEGoEfPuaCcLyf888ehvTN1NHQD2x+3ELM3BR1lpoMe093DZNyZrPM5HyZhAvTC1KTzhzL264EicylTT//dZd3Nn4nd+OssMnuczo7IADYCUZWMSkf6Ub0+p5bml+/eJYf7XwNM1n3DdNTcWt/kZPhMw4wi65gBr7C4L8pAjwaA3dg1PYCZ57zm/5kX44AXfgXd/KNB61Wj8FIlzBw041jMvdMyp7OnaXlJXDizfpo3j/VT59ma6dIthvpX29VWLpJcCAScopOB7nPv7mrkoYc7y3gfwj9Z1qfh+k3PwJpZ9qYJ2EKALcVg+0mH6xM5kNQNoYoq7bA0dk+PAI29fFa1fs+3+fNl+YrYllfNb4zQw0Crpa77IKPOOzvKbpfS+F2DupmFXOucAv1LAW3GZB9mpHWfzajLsqsj2wU8dc5a98mLKa0cRwRGuGLplFg+yroUnkYtC5SKQ7M5gxhrL/szD7H+9ePS/bGdVtNX/suxfaYf3wPIP8O/6LFIPvEhKRnKg0bKB+YKAS3QNc1J0f51yJS2321KxJals4E3Q+yLYu3TwwDu0g4xVXjrcyUf8PkO0D5Z3O+v2xjl4DuAvZoU3Jrwdtba3qpCECq8/F8ndZPtU5kx8MF51Ktgw58QGT4ESSkGpgeaOmwL9pJoMGWuXs7gu4DM2iuPjG+fTvt3lGl1PIQceZEvWhaBhSMB3cwZeklW2SuDvzJ1O8OHJntl4R8LlVCNAt0FpZS0XuRJEqfqsxikm4A9KB/SzWIpSo0/4N+8985l0/jEt5L1xyTcM9ZUNyf4EWMzYFIsukQDyzpm3JrfuWZt7c7aUFLRA45jzo/nELts0s9GndOyqYgtwM4zcbzaXvFVDazMx/6sHaMSfNcv/LKZORKC9l8ego3u9rxHqKPzEfPRvuYU+8Wv+Vpbi4Me0iJDpFf4CbS6U0KBzpoDT9pn3GFH4GTyeLDBMjPeeuavy7p/yqjpu59zfVcCNxLEnyvkHYPANdDxntiKE6u8zT0be/3kAnqfUnCuFeMgozAtLH34zsO3kcXD9K47ULkckqm28ykJy4GbJXfT2sA8+gidCUgBOpeeg3dWF/1kVyQTW2QU/JemIi7RfltRkWEcafCNPS7fNQafe64jMtchAv+j7CfnrYeXdAWbXLw6tbVmBtmRcvzMW4mz47SMfZMa5dLpnUfmkggy5wD9NOD1NvguOExiLbcABKwGfYvBonkSpQ6PpghFKQKukpU3SzDE50ssPjSxXjKV9tP//uuX7s3Kx878ME/AgV5P/yWXo7VTPv7HQZYo0OY+Nde63ocF27PqYB39BO30tdZ/AvPOnet278K52xOXfuZNgqdVQ29pPmSeV5b39cpC6eKnzbcXdpMtcDTyPY+ARCX7ZzNmC97bpQ3CQ1uzD+rlnhc6q315Spt9F6FQINMoK+ieS/GCRPaY6E7AeJawPwEzwmth/+0oRTgm29s+SqRto6BMNlFuh9Kbs3pMxjyvw5qC6Q1moT3jG/iT+vDLgMXj7n6Bq0jqQHwdrDzpNf5Ag+9UFzSCrvOg9uuqD5O373mgi1/JZxaHp88LOyJx0yJsEFjM55rznftmhnvZsJYGpfdEfoKlOqekvCbgOXiyqmLpSLXPwTb1CZCnNfWrN7SpAO9Boe87Uex87rBE3Z2VLHoQbhpDL+8RPaXJrmFxhjMzdJws8GGD5dDX773WgX2m+7YnNc1MrlIOfJQ56pAXxaaR+cKSjtLc1KfxbRpPE9CR7e1jwYqB7280pCE3vwwh4uTS1+jlb0NGSQcoxYpbaAb6/KnOeEybA+KgCH/Tb/4G7/CYo6NaAL3TQycn0xBm+ltzJFhknvdmzfD8XH9JXw7w1hfeFQ7JRzmYF7WVn9oTOYfk8IxzkTE2pu38qsfAmlo80mu/K4jx3lBnjIA2xSY68lWOSUN3uGSO8Bi1fjlMldPv2KTBWyVLt7s9zh0GH6ECA7jPzErOFNZb1Ksd2OIftozJahOnTWbQBeKiQ20Q3sb5Iy/Qi7D3lKPdc+BrwJKTA0/D/PNMRgy/133qjoFz2ItJH5SxuTdug6tsT6AcLvPMImgPl+XZP7S/3ZO4lcH+fdu0P6/DHYTV5OMrDttYA1AtzuDzYvQPvmhFn9kHL+vnIA671e278kBA9q15pnN83WaGw6ZV3Cq9LPcr1+JttVtppfDW9Ie95P++bcfpgInMEbZ6UqUxF2zm15YJ7ZKVsIqYfD4wbrAk0l7DGj/a/DK5vwBdaO5Mj44mz19aVaLoywChleuhZ5PMktCeK660Zeo+FNiNmfyrCCemJOb/ZmJ4XJJw+eXT3zqZ3OOgSae7Eh8+byVMTBX7vAwRGhwJXlsChjgzQNzP1jcN8IqYvEfgNZnk+c8HPid7sPeQ4aDV28L0uUvcMfq12y81hTR/HtVlqpMGhgkfV/kV16ebglg8V/8t1lOCsrVMxHXjomcxKKS0vSlnyA951D/MzqSKpWdAeJfB/LcrNCelL2SW+YPDdBjmcu/6BRQjaZOmOjuyVm3lnDhpfEGb6ynHr3z3ETcY2zwy05ikkrO73N9CbP5JtC65Ltwr+OqZmj8RfbuWiVu62N8b/rizGcRPxrhbtlNrqk4bkWru9TWN+Jcx6YdCFtTMnsOYt2qH3nt7EwuTJeuww9nxxd8IyRly5agV90aeAxaBjetDZMg+T2PS1ViPZC6rdtE+svOBrOfSWsqY9D75+9w+xtXUb0HJV55MMvAAXyv2HG2NyBJ7zYX14LJqqPPZjwAmBB5s2o++Q3VYIRl5qwMdy0AjzvelZ98nEJMAvydRBrNLINrdpMovM514moJduB2er69BbwJu/zzgGIrTL0NU7U9zSAcPK4l0e+CJnfBGDAq9EwPP4lFIM1jNd8IjI+TL3MK9FNTxX05vg93ysa00PYlNLvSm1LioqP5qIlLx792oxPRASCiKiz6P9ctpt55KyG+igm4TPqhwcwjsascn7in3KrdYGHAnPg0yVJScRzuDTsc04fnB4PzgIn/lIBi48xDtigxf94ZF8z0O7vGw16KCMBjoC32twZwA8zps+eZRF+1NSP1QBDlWHWR5IXnXAKZFKz5q9SpM4Iba3vPt7k5R/nvW04qJxpNkvdv4A/uujyVr/V/cVJlYKGJl2Cnj+6irQyYq3Q90vP2cxfYPe6U4UjbWVtBWb83q3LWoLvnNk+uFMrDH39Ibkhpn9hLFAudAJMzm0v3mkCSL9v8yZyykCvUlbs/MB35/fato/QO+v5i4FHnB5dPWdvrbfqWW7DSOzGPk3LX77WHnmzgbopDgbyS4VXmvu+YoBFfV/9+wprF0EKO2/ebmyMyvvvQj84iHrwQMz0LEUD1Vvjw1gXcWIBrx1gCN2lbBbHgJWRemag4c/0/KVi/kFeCWJgxkdW8AcqQEzExx6uBn+gC5X/7uDMLMmbkcYv8r09apGXKXCfiq6X2k4gYfcBmT4s6YjkBD40pxtJybshTA1wvwO8jDcYAtZZG1t4I9dE3oUh9ui0Tw+997x3KvCZC+/9/TKfFuWnJASNH/eoSK73J9YeKXpBVHCiqji9sFtbDJbe+DKLi38vA6XNnfViRc45BG61J0/ggZaaUcyQgnodNSpYTYnH3vAgbd3gPfcHhoky0zjK9dqwWwWXGzDemhu4ON3hJUWrPPE5FizAn2UwGxNpB6Ut12OTB+4tj9HhBDAKxyrnml5IhHo2MJk6KMDfMc3zudsbJ8qavfA5SOnfopHPuYoCQ/WNgLf6NIecxnpAPiowGt7Y2HzxKOqwOsI1ts3Mv51aeE/6lBnwMlLFXAOYxQaD6dCbe5Q/LsbyJxWmn4HpU5vWWfqerRVAo4C9sH7RhF1dHsWy87wOniminatm2oftAZgFJ9MHQsSCNAmRhUTJtdYWsA/jogxVdYT+Fa+z5c3uVZFJuxbLWaPOISBjtzLYkpEP4GXxU8CPx843VSzG484pTE295YPNMAEFyrjAvQw408cXzewnqpcmP0RdGx6PGVMt+T/+hOZs82YW3evMT2X3fDJuUpKK3tV4XwCH3lRAWij2PQg753KCcF3okMqUivjqqBx64iidcBrGA5+UpTEZ5SUmKJJRpsNoz4zZ2DvOr1cyyPlZMVuvxwNdnbvrDDvpxnRkQfsgd3pqoopYCsCP7f1iIu+TT7/qfB7bilWiwW08zTW4AjguwOWeAfZ9zaB9crQ/2XPwncAfuXm7tMO1sIeNI1Xmxy9EBOYK2Yv/QCc8gm+aTxHMG9Rv6HDBPzoraUrd6B9Yf4ny8G5mx714dFaSOXq6mBPVWNqZob/mxuYMreOfVzr7EGjzE1XWcqgt7H42pj7XTjWDmiVounUqSpg3buhJ4d5l7/mVoBmrPjVzldfg1+LWaQOwNWadeQKbPvM+hn8LnufE5W/dUTOlHDnupGgLZT2T9TccYvbHHC8UxwlZq+EDsotbb9TEenryxxzp1lNXesp9DpuwXdB4HcHQkurAf3690Fcfa0Fe8iQv+tSPvOg2VBTtdzPpqdyyEKzx5k9QAdkoL/W1G42NTx7ZZk8IQ6ONvnOQcNJ00sAXGIlYN0UoCML3IFGdY4u6WEcjjzyPmC9mezzd52Do8YWWFWf0vXrllP+XTKJpXW3ibu3YM4iHpDj0UK70vp6Aj4gauoMI4VNJvpZ2Ki2p4DGaGbMLtPQLhhnLg9K0zdzb3q1sPV9v3J+HdzUOXOVn4WnZcSzfFh24NieqW0y5heQnhKDnvuUK7k2tNUy4D+wAjhocUlf83ceTizr8ax6GI5YzefAZDzoNqeyzSw95v93drOKYevVEXo0HINPvTvl0B6ZK7tzjI4s4FHJk/4czg/ezxX8+s2Rhjm7UstylUiG2knMeZ2r0N6uQvsA/nZitmQybv2DzTl1/fd+79iw+0v0wEBB0gG/PRo3iYS+3oSWxOSdnSJ1zwYOHzKn1crW84DBW5a3M1gF0DCOMv1WbJ2VOvlRgMugUETTJSgV6M76xTsX09ubf5z7ELigdUDXhKDkjueC8IYi0Moc82jqSpNFK0zel5rzzu/zYrqmCLxrwQVwx6N2QQGKua1D3jVRu6lWXwCe+GnYJnXBQD/+6yXhmcwG0z8sjfunvGy/c8vbVx1O8aoucpxo+tq+8Aq+mbVpZScI1q6p/x0ZJS1oP9/0ZajMnuggpdj9sfnlzyZbgXtNj26bMNB3/3uu+yK7NmlWPNMAnlvjRxUm2TlM7uAfcROXj6M9wUpKShpKB7Rzelx9eqKpi9kd+COpSG+3Jh8sFWqprOtaw/fl+sv0aXrI19bkBfz/fegyUOfPE0pwjgCXuuZW9ldb9DI7a8B8AezoeMPBWcLjKh/ny3YCF/0w9dTAx0uZz4TEV4dYLarDVjQjnmqT29zbD9DYhEXN2zvsSCB3eMWlYNLlcZJmHAegyX4U279SJxnP4I0qS0eNMz2kJt81xd/UMu8wKRiaTrWeGC3IAlhYilC2gJG+LL42OFC7cyxv7N/ZzX0B79KaewzAy0QCRvOR/7Ai2Z0jGVOHXAzf12I7N8XXklEf4V61ubU88kE/iOZhxq5PwHU/5zwDnnPzKNmdgvaTChyWln6WsLbf+9jY1UtWoBZ+3hFwKKvEn4WuiqjLnILu+ySAfedwa/q/Psy5q9z9Mc+X0y4zvbi9POJPGV898L/wfuZVdb7fFH5brfxWadwJrd5nbd8U1hTwoV9Z/UIsfgWdEcMz9dL0EgNMBj/lAmdy0w+BCe6oQo7Uatty1HG+osDsx4qCrOng2ZKGLkcYETZNNU0KbGcOqIP3/vzSREuAez4TsdwyFyxP3GL4+xAwe2Id+jy4uiwFuuXhjHJHteC1GKdmDy0BhYU259CyRDRdpS6B1+bxHLMltZOhCny31v41BUR/1wRmgG0n8efRwLusx2YDnpmkwNVYy0II7+No+0tDS0+9ZoeNfy1QZRbw25LCJ512fzZ1ZL1k2BbM3J/VaOHD8lBjeWOdmsFFuHz8et+HDbGlDqBxO77K17nzvSZONyeqN7AGU2z71bnjH/Sy7U+0LeqBl7Jod5xPwuSL10VSVS4pGkoS7AI2M7s6uH6iaGtqBqPfc4lR/t8eLPy+ZKB7GfFP6O/mAIhGApyqUQ6lA/MIvldKS1uidspNz14EGGHyaPSX01janOPGqQVavpOuOc0wN/CYkAFxlij/vfv6L898wwYyYO6Hpg/BOfQYrOHPBvQG0V+Pcyjhz3vAuN5hgyd49Mc6uG2XAV6yYdqzce+Bt4to9LUcnf4lhRyENj18wdNrDFoo+9UY7z1z6vaeDLDJxCBS688qTvYpwy6jmGb5vKlhXNIeNPeIyioke7K7A3YnGnwTTdn2h8d+RGN/qAZNT4G+8mhx4WfeyhXlVQ+e0fr3voKsVzYZwhelGmUWJpmFuLRxRwbvwaM2oqPycJ981pqkxEbPlCEY9/uDr62sHX7gw1RSe0pNL9s6srtUtLa0klMN7yLtAVdd/S/LtOxtqXjywWwYCxcfT7GGKQ761SILaP/r0UYh+JNEFf5YrzBXjVcV3qu5bPd1Pl9YbM7K5qN00QxeicJ3NR0hqhObeb3782xY+9bYr5x5l1KjIe2XrnF0l7H5IS14LiFBA9lP0IlB2ZOKhstT9plXcXRilzkBb7rAcxEc4x+Ylwfz3oDyMuDYuBQw34Xq4N8cuIX/57/uRvU8D6YGw5Em+zAADx+UFkFpCG4O/EvO93Ym2kgx+VkVSOY2eh2tzQv4NErzeQA83ODY9ONQlwaRGDj5m676G6SOyW4cct2+1/Id5H2XDmqpY/Wds988zJVG4FOsece0qUtWMzxzVPXTgfbX3yxh3P+B9frXPby2P6CVQvZf3uGVor9eHnozHfAPeA9ZORrofbq+cb521aTYjPDQjjAX8Bn91wccxtajzrzLbMVAawyK4v5scoc78Ix9O7HR1ILLKX39efL4y61z+HzTHayYUvKaq5PgoEvsVzVM73Pz/WFF05lyqcIlOMVyxdZ9A3MVgUb/VIGWWc8n2etXhfCtiuy1djUGvRb+nlcOlq14bzWWBL/WulUxjSfOT8DNWlL1QWmb0eKdWX1/ZUMP8+3PSww2+ODZg88jZo8B1mIlQi9kqCXESYDLTVsM4GKGwipEPu/8sHbuG5O/dhaz6Vd7B6/LiWOf2Ar0wHSYRuWaWva7VqTMXjPoJgwc0uJTkYQqkpczb2clvm4wH07SVuDxp30K3ga4m4kRBylNQDsRpzRCcGjB7YduCrNMjBLwaQmICz6pt1+Kgn7T13fd1+2swb8XmS26cMmF5WSgSmANrLgrlwbmei7knQlkeqqIjHn7rNeosXFETe0lbcu0v24qdndSzs0dYkxHdOfAATlVmjK1k7Z+83KYd6CxLzMDDhyI076a3r5WlperaPlg8dQR2/SH3R7EmDyakLsnhljeg54vkOltdcIsSRthGzz6Jr1n7pzsS056BT7M3Bmsw3/5G7vG9Ly3p5Vb9gxzUauVBCQIn+D/WdrJuOpICfqWU/DDeYfik6mzes23zEaoCqdC2ShnBSkoUj7oapiHLSlt9clZewBfD5p6+/aVx1RomzG8ALYk4Cnp0W19FbO1EmovRMIzbbr1JOAJkgflydB08toIUF89Lg+uAt+P7WY3d5XjPeB93E6R7ZVU7+S6t8j49WyG5X1OdK0d47V8VOn9Wo3TB49IxW35A+MjS4dZzZD0pFDkHDULc9pJiaeTW/vHuQCPFIJe7e/Pc+ET1SUXPCbXE8dlHuMo5a3A+f3G7X+9xoAbeIVjiUSRrdixJadcgGdDp/zPi9rEz/t5zpn6ydzp2PSbG7YsJ+2ITns7xR36Vk7p5J2e8JAw9ZtVa73+t58YqgG0AFXve6PPE7P+u38cG+0pnSrAPgBoejJ5qXbykhbPQZ+CJ2tjxcB7hMuOFLqnDgrNOcDBeprawNMp+LLhZ9t5LIeD++WUhf8iXQjz818u8QB8kh9d/lDmzt2IiCjQd+U2T9BjpNTTlRT+kMaoN9k2OWLPciit1HCl25bmOcC/f+aIWDhoQaP/3UiEGTE57a45u7+DbvTf/DVi9gTuRX0T9m4atFHDtp0alrASbS4jZtFh+am7RJwieVBWuz862+noJOvBndyD9eem3HYP47jJAaRwr5OMhWtt/XmqsP0oLW6Dr3rrwzQfyGL6F5yRD/yzf5qe9GlP7JqCthtBm3RIY/AhFdP/ZTn/9qZFnwrJsWZ4zFFoMjhDaekjdSYJ3JpVOknB4y80VGvzr7/e/HuOJyJUiSiRtZvsm1UGVScl4VOcm7O1Xrmlg24klrympBAjks3w5dXc1BqRsA7tHdegiwt0y3hyA0/7Dcr3oZjXmbVcdck7Q9IzfVzS8LoAXrJazCte/fK3Z5OzFdmg2oZPSW2D93A2mxMnxwapB3CkhSPvIaM2Bg3iEbt9Yofd6rF08cCdpmMevOexXPunoP/O2ryUgbfUCXB8OwI33DFSHmjWsqJAYZ02dQfPykW56PUG5oRF4vImQxRjQX5Y9GUDP2VEkEqu8krCuZDRdsWih/XSPvMC301u+L99gPDrVY1sram21DBVhCYlG+w5GxbTj/eHxJlbxQR0VLay+Muq7PazHq8PFrQmtx9xNpNzPsOiNP1SJlmzOTDzEtZf2OTA+13yPtfbV1SuZSGvtduiszm7Etsb+92HfbpVPudZL68q2l7x4DEJnC6dFsnQ8ohjsmrbA7wfi63qQazkx+xFg3gby8FygNM9iXxcD/8ydVMWgZ/p2ssZKXlw5q7skuwU6hMbkrKK5i6l4F1CvlGvrXMO2KYp+Mv07eX5Nj9Frau0BA/Ev9kqAccSq3Jb4ILtlcF3LO02LgEX33tEebTkakV+5eCCBT28P+tFTP8w9gXfbXqkHb5IywOtoqRg7VU6/abu/q7EIV7j2Gk1SFELeIe2Bh3WXkqeXM39LsJQVVtoz9k7F2umOU8eKkq9jGsJXh78tN6lkSYcNKaybCsbksrsSzXAcaXgHQYcA/y9AT/loHFCRf0jtgxGNzfREZmG3pPbiUjhnUnQ+wJ9ve+NijrcWoKxNaUEN6EMaM8/T2zpKhefJGAcZd6GI2SfqKnjlroers8U8QEX6olFomX/Z2Myt3IRuiUvNyALeDmYu7heXrvlA57zzZWPE6CzosouNfidfm9xJ9lkbJkAW30Rt3MV/33k7OsJnqkA7y5JyDMR6V0TbiNgBrNPtJcOoaxXxyqco8qyWc00aHR7wRqzsvj7nofPlCcesydRmtrbYQkanjg40Le08CNY9xeh8ROg+tV0yhf9/GT9LJjpXYxanwxqrvl0ISLZ1eHGy1y9z4b22AT+SE1dp4Vj4uD3/mFW8qlkof1IxdWtnakTsSJMzBFHpicxOfBVLeeQPaluBXiKE+PqoGz/1ESzy4fQqxCyGoZN7deNDSZbVg+kbwm/zFbOcKkc9Nai97ooNzjfYj60PyrSGY32jzz6cjFtR0a1IwLwtCHoqI45pqasYvMAWggfX1vzll1YqxPvJOgduatB18iChJWrfG5yRQLuK+S/z4kiIvavk4kxH/0NtkjPu73Jc19U19rnYjIZZy3lmXse1QGwospcwKcu3Zw5HjOTKdkTloPGa2CW4IDsRCSddATvGPS3VNhtjtA7T28jh69VCj7XYfmohzZMX9sEvL97MrmnhW5PAtvAKUdiMgIK9sKAE1hw6yQmmvfchnmbE/57JyGV1pxSU2FW7BcpJi+NSSoC9M4/bLkzPw/2/+590hRGRbMKaVB40ySErZnpGRuoH9ObxXBTqXF/CvAMjhx0lbzCO9nk0Z8VMBPxy/1W8f3jVOAjC7dl0/nHnP/bBwDU7W8nZO6AbHteyO5okaLR2pwP2fmI9pVNZhwk5Ykjr+oaF7DscbC/XqW1jdQwf4IGAkfa3+D9haB1+8OqbpUNb1BfV8CUKHW89/58RRj4MUe9DvbekhaSpTZ9ZnBKXH8D/lmA5sYnhk+gxb459z214nvjeC/wdj+SAU8itEhueiw8lzoC3coVAd4OTD0n6OVC6H91sJm5OV9r3Iq4X/NIuSZLWjL9zMAYkg7mosnc6mUJHs5PXTSWlrpWlB/PffrknB9ohw6M82OOJh8X/KkY/sj7iVQw/89GV4rlnYlxbDjCMKc/TRZO6nzdzqx0ldPSKpQ8F8YvE1h/aCO06Su4v5EBVcyZftIwOZ61bJuhjcCTrufejinXF4GuN5NtV9HSK4vMpfG/Wn1Rm97kQ0vwMI0Hl6dpiB6gfe8HK/Qo8He++s+6J/Bv0lctFpjn6qYEIqAbN8BRIRfqUg98SDv+XfftjClbMwe0S49b1iMBfv1d5xA14cR4mK6NyXhe25Wyramn6kXPEyEswAt8OTpmzZEF1rEkkfqpC/ygw/yTO8um2d033MWl6R1R8r+2BC0uY39XDsBoxdftFPzrkxWIsXF41K+wTtec2eBh7Q8aYrdxcdpQ6YEP+q4dTEtzbz8ytbEbBzz5Kvr2ioV9IcbTOpIIUNIHJ+nqaNkdHJXyAHwMcI45E3jjPOhUkvVPl1A/rSN7j12dZaAHDqbPt9C/WaWnwD9mNjmWQDCptR0Am3fmXlAebj/hc13RpY9UXx/nEb2OKz9VI4b34WdsLG8UfPPbp2RM0nOnDk2HPNBbw9Ekh45+K8KZmj4ntUYZYeCraONxU3hvXTegmwNWTDNHk1Mzyz1zRZkjQ8z9g6lpxV3mVJFly902Y+jf3NiR0L7X0d4B/b+WvdrUUSu5pXa/fTbH1obvvTuBawVvdzva2aYO/r6ke32dWX8DvVYC9vnMQkFmno8lkwrBB9jhMxXexOzEzB301mwwt75hPYcY+RYF7FEaHoR/OcqeZirUjG0dczFJspsvOJJHwC8EXu7z8JvPoT5ZhEx2uXeC+X5G8gQ6+FJa5dPUFQNPLtz9x8sfzcon8HZV2U+vJsJBhZoNZnrAYUsqCx8p/Bd4aQJaD7gIlArypUJqFci/gD77oKZ+yfDNivgpBB5nU3KOtS+D/SodPp8H/MYNX7KEAkaaewrHWk8c9G8grfYjg9Gue3sxvRuBW47mfJv0c1hzGEPW5thqAfM9BH5Zm4wZ2hMhoomRLhlxCJjGStDkU4L1vz6q98ZuaRq1Rx7dbVi7sVzRr14E31dltvEnXJqc5qrAeVX4Ii/8m9GrQmdOLtAR9DY9WOpRwhsFzHYqN+kBr1ljoVNjLR1lm7cW9U1vsNqaQbfDR63+o+73GybSF3HaK4vU7hxOp8zuPXqZXWb6S/fgEbTckdGcEaE7+EbQD8/Xwck2VfQEfQmOWLfdwUZ3wH6Uve7/ctqz0fRs9T+qYG/yuEFHYMDF1D2JjZsO+ycfVSkHZOqKW2l6izJ14OH8oAxUJZ8qac7kw7Yvh2mSoElBg20kmz5AW/8o9sfG+Z/3HiwubTnBM6+HVW+Y402gacFDbF/nEPepkywCcDIVS4xBowGHO5mtxPlyX0u3ban++zgX4X/ZmuPexeDdlJCfgI8neAe2DLBm8fQeww02Vbdu4qjL/WnqC1WHXtjUmGs5Yd1qM7dFIDF41ALzX5/uZ1ZifDpWhd7XGrRwcb3xsb9xh++PK36Ap/pIu2RWAmd5ZL89UdEAOihb43wH+gj4A/zrqxlMr15NAYNM9kJxLpoXaBmZjtmDcR02NnqCL8/MGRtglZWDN2SR55UC2E//tU3fnUz8WY4rCU226f8+y2pQc6OREiDnOQm9AVRwSBD+UG6/ALfsTdpMqtuP82B5R+f+zC0ZAhee8lGCf/RTzFBnevelK7do5x+wCxrB2j8qxN3mtQ1ytn2ftZ0AozTt2VNaoM0ddCCWfZSaz7JruXIIPgtN68Bka0x7CpoCML+AtUTM3iYZkwyUd0i0yVHm94OtbRrym4z0hoS9XfblEzjr7c0vuW7vzJmDc8DvZIXxtRFmFnih0Z8E7x0czpfakVnGsg140gn45gQj1dIYJU2IuLJxmw1bCX5lx/rpkkZbr7KWMB9QBLxWVOA1314PC5lSq+U5UlWu9Ui1fyURmhs2L2L0cTU0VsXSDRkWWQpzT7vZNILv4fv+mPpM7mxnDhqlAX4kXWnuOfU1UqmMAQvjaeHD/V/PVtB1cwmYiIcG+EHOzMWMRfxYs+3xFJW2GqcL+JLx3KsQ/AVv+BQwZ5vUfQIC36b54BFiMmEH2yeWOlRiuYDH33FbHesCfYLmfPuvZ65Dqx4xO/cGC3uvGTYOaMNdFeK0NP0bw5kDtr9AAzqNnZr1kJssBtFJi0bb+Gjr6swamwTwvO7EszUx9xGCpmMmW6YwmUFv/gINYPr4PYj7mzuxqmhZOWhAk3ecWehRduSaRs8niZO0iUC7D9kTdIY0eU+puc8T4xP4hFd9uTuy8FEe4u+sayVo7t/aVsH/7UftamvBoL98k5GLxdzVvbkvGNo4Ur97W2Lg+xPNVvDmGaxzJoCb6di2gAhWzgk98950p/3ImIdSrkQdIVmP/rPijamRETX/14s2yizgEKQ/mSbf5DX3zOxHo/LJRf/kBS9pNIG/Ua0o+FI6vS1HhEuLg4fyDk2AYI7/ceviuuBVv8wdbbPPd2KENEjSHPkMeNn/h702IcAXHXB8ScWcZdo/ncyZrWgRLvx92eFD7dh3EW2jk7DLE/BdHrVB7U4l6OErDdQKPOPDOrsdHaU5OPJ0RZbS7EYCtjbwjP/7rNX0E8tc+VEX/POwyigrcHQe/z6xa/pCaGz6BdRam6yd7gzUmw7wU/vFlRY5VFHmYNBvbG2/iQWY329/0v76An1YpeF2Ta0/aznwf2eIIgZfZTzyarSKF3A2+zXoGMrIpeH4ZXJhMt4/cj3JU7jQtA/txmnvODAXDrm5PwFeM1lNPhB48wNoSsqLCXiV35iWGen/edgUtOBK7NBk1eRk2J5qF96rja6lA36KY5g3C2WMu9RkLVPQaoCTsL5uxtcBvsAv9cyHhORC+4RNObxLF/xJeo54qGAuMv3ubXq3YB39YGsamxWJBikf97L97R/EQBuOhPKxzYhQpEIJB/9yI2LSuZhAxymrGbGp/WmrEE1ymISycFSbut7Y7+via5MJAvoweWu2awO4wsfpfqYc8N3PjuvXxtT+0Eh+ErYYjnHgZ1wbnlAykBfurxtm6aO550z7ZgOMOBOmN6qYBhqQB6yN6bcOwnAOm3855603ansyuWk2tZYPGi3f1DJ5blqfeTtUjgqprfnB2R4z8XxidvVq08toxad6sBdJpTY9n8haPs60XRuYMeA/fSL+bE7gD6ou/T2be3uiiuL04O4fhAMODd7r6JQLrPkQxuzGeu6bLBbBk4wL9OLCi6oIl6BLwsxpSbP2rsnjZTF8lulny1qT11cQK3mUlCy/OVlseddwHkwfLjz2oBlwTENAzVHfs0GltXu91TH8KeM3zIlnMAT4bTi66EeO7XKG9yH7Vsue7M7mTDb+gvVlfwN/zlWR7DIqATVa+PfqfYfuzoa9lWv1lGK60sGLgb/d1Oo9TNULtNB/PXjDZZ9HG8DfxOUCVCPSrrnbq9B+Q3bboIlVdbB4XBa+TsP2gQPZpWHoST1dASv+ZVUR4FsGY1M6+Nn0JM/W/pl3MiqLROS2DgE7y3oweyl8wXb2PHE/VJbtS5f3OGrvhKOBF+kN1tNYdjwSgt9rZ7brgNvEbn3ltu/siFvt/AG/mFhV9GeTcm7ONv1Kmzz75cV68ED9YvymJj0G95nwuldChHyRsCoJJWkzJBY89wN07E9po6ly/h9TX7bdKq61+0o0JiO+XMQIjI0chBrQHSBGMAhMbGJjnv5Mpbbzn7EvaletlRgjza+RZkMc8BJn8PGgldF30qFXfYogA1/Aa4EPBQzvlyfX07PJbl4d2lfgwivu1bOmxKot71q7wVNZXkTCxx32N/gpAn4dg068eBnoRa6ZqelKwOdYpemFIJSZlfzi5TfQJzEOTE8PdAPbSIFLznhVm4PjfaqwtRPw2+Z+rBKzlXZ6p7iZbgUEuUvtDJEUcJ+RcPtIIuU2TA0Z9wV33h+Yxh7wj1/9X79lWBNfmvmR4GUCGt5ck28A3gGkp3bBXU+Syye39hasC3hdLVIALuDbteJ6OLhTpiIFf9RiHD42fG09jArb1ApLHnvlcPGI/ZqTBV67i88Nlz5wWkrZfErF9q3pmS07fjJzspKoPfEwjpKIYPCsazIkduHwmORYlMwugEX3Zq+A9jRn0d9ZNqcQ68LkOUg+yaLnr173j4Orz4A3S9bLEuLwp2SYELENCS82BKG0HuwR9KKNe49npv61l3Yh5ks2TrRwZp+M/aZhfIX4g134vzqdEdR85B8Mbpo++P/7LJI4fJe5KqY2POGQeKcA3SvO4bvzpYLvR7lKsOVtEgveM48P3LFRankdjeRS6/0D4tj//V5s9mo3Bh5vXYj6VeaFJYVk2f9X11ZG/FaKfqMC4KFwG9e2b6ldD3u4d8E/DdLM16MayUB5wFex4l8r4M8np6QErC8BhzsRcSfTbAOYKkHrkzLgJDVpB5Gp23z1ur+5LAfNFy65mT+WOfEnQKdbcdNHT/FaLAT0WV9HSFdD652y24Zb6kiCOQYMvtJhsY/O9oNbFzddsaaCn4+ruvOQn6uOb0rwLaAnX9hbpgL/pM6E4DlFYuZpRxpwRZpZZSMVX4tCKKiD4Aoa6VaC3qQjF9yCN4rauHTkQoQ2Od9jEtpT5ao+44UlAhwVnY+kY594/+e/LsWg7JJtb+l5/kycr4WDviXONPIO9vqoP0+hfREB8FGgmYKVgL+HQM9PBY8nZau42cm0HrXdIBUrN93wsHYPrvJKmx9Kd39NXZ3/8Zf7bwE2A6V2WdI+XkA3LGyYvMrcazJP1gJ9AoasgAFdOmo/ydsUHPFShuqaduQTYoEzQezMWubK2g71sL2AFqOlFR+Kcb9R4H9fd231qi5Jp0AHJOCPb49K2Br2BGgpmbJg+wm6Z6G6/QYv0YEMTXG/bfnO6PbtUPbx5ZRDXIYb4Cr8A/z5keaTg60trzV5S9iMUh785TlAfL0p7X9DXLllIKU05747cLYdillELsxFohpb0y7lnHaK0iCmteuPKmqdauhX8HPg/ZMr5boEHfkE7rxSp7+eqP7IcpPr+tdPr6016Md1b/5MHt29J8d4MDlR5ehH1YC+cVevJ66vjBKQwjhLGf6dL0Yik+/q06a33yjt12q82Mfnu8sH41ri/Ogsg4iKa9ORVz42vCfkg096a4I4UV2ylq4fSOTv6xxldb63eYBd+H5HFdhltsL7zPWAOXiMsdgwF36uk0nl6PH0MX+mFuimMJbAWaYuPlNiGhhTx5dmq6zg2TDcMZfDPsF+DXGr1tZSq0YN27iJ0RPn7Vtlx28noXUWagm4Y/qrXCj40MJaEtG1IeeGF9Nr2c/4hPzPTKOYRvEFVuOFvbPp/1xpSZQty8MKbq6fH3TVE+Colzmw53rp4k6Zvsce7GX7fz397sBXeWbHffKxPWeWNrVxptbTxi7Es1tY6UjmZpBT8jejcO4AezYCoVtqBx7o2qXu1PFgahA7jSrLi839VdZxTjV3zL1Epf2cOperosmT2WpRzhb2tTT50COl/yxmbTakM3NHZ07Av0nnbybXUVDcJza6m1oq8TtTES0V4gfAbVEH+juDvQb6v6Q29puexNmw4NJNlir/7SUWpBR0MfWtcvWxcuZvhbArgC/gn2Pm+jH5v15VhQy2bh0C7+4QBNRCAQduUmxv1JyngmdMOLkzVyVZh55V9wW6AF/hPRcM4py7wBKWNHfyV+oimppMcNDwEBu4tpbpYPoo9q9Z6uA7kZk3uwWfi3LTpy+x2jbRqCtgG0jLZAfgHrRTkTCbgZ7xqJji1PoCT1vbzML7rLfDDGHYb7af9F5p+pxVA7jnYDvWvekzgl++Mi447MsdaFbH8zhwIegs04MtZEx3Kff3GeW96YGRBewK2hti+bZIk18UMreA56a5vKkRB6lL3Mrm4uBwWQE/lmE8A8b89ud71XEoEc+Ktd9NoEcStZpG7YGI9iHtKWIWf3Lb/06YdlM9rXXU7n9nblCcm/Mp2C9uxfAlAw1HTX67Mz8rl6eJpcDL2Q9Y99+ZGf/7XhP49jfwFl1pB4uicVc7vIfnjpuAF/Uu/sa7+HQKOQVVu6nNxBMHZaXpMtD3rlplQnMSgCaYidPeiz5ZQRMn5Lz9UEGy4T14OqRfdwHmc7usw9PBmiL4Pd8ZjdPiOe9TK24LAc82TOB/cAh+7lJrFJ6Y6a2oORY8TYUC3EhW+F4WRcmmCbw3bmFcjnyPV3+QWr0p++8eNmdD+miGZWSB5qkNOIVUaOqVAX/8jEmbRdJW2fwjBzIVzmZTctAr7AZ+oqVULCIdkWvm3TGLtIL+9i8iTCjQu+rtYKGodl99zGDvhjHETAB+Act6VJKBnznY+kZ26pk95w8ulpgLGTZhfACl9FGbezId89rMIuParq0prnbtzFc8sq4HpcSnmqNdFbUeeM0P3LO/fpWc/rOl8UTIF3JUOzKqBPD0p9Qq4C7O6p2ZQ0hkZuMZ/HlYg3+hIxEZQisNkCS9valAMQH3ZKyHOBTzDxHLN3P9U8PQVem//I2PlKmcnGcftE9s5mPUYitljqba5HAymTRBYIlwBj5t900wIRJMmySY8oq1OdmZ2VY+B68qaeCFfOzvpJ8F5gq44Te3qxMCve6kssTZACbFHRam31sLnvHdSbLtTyMe7tGyHRHJPbElLpE6G15uODooC11OYesATob1am7PuCzsrxW7WorgZpu+LBi094ma3ivytTc6NuqCP2/2ScwOteW+Aj1xWP0s69FH6qKz4fVmnMxZFOjHegH+SY8OPqreNr2HYQ9xB/5/8ju/Nv+3HFyjxdma8H/3apivp2z7N//rABxgejHUXb0Rg14hQAe8xvC0usssb6wc5Zt+1qmtw0oDovLpRpCp0QI/u+I3c/7UIN/kTL8l/XZfduiouHTB1/ByrJ3M2r54uVMD84D/0dHFdzqiK2hXt0Gmz/f7g6D2g44FYCZvOWgR3OkQW0v62/sZIdADPDX5PYTiN9DMg9LaAf4aqtEHPxaPhajv7GNbvrSN6Q9KV5WeIvnBdu2PDMlQnLeJzOVnaWbZdeDpeunTlZ8TiNvC8gD1dAz4cyXWNgSuhf1LLiJvgdvxLIQ+cSdZFVUxZniuQ/XKTW25tb2arHYxtivOQbM76FyL3uU7pDlbjmm2dThCSf2x7RJ3v3JXgr+Lpww4tY74tc7jBfz7o1pRmrBihfedK3uyTW2AFMn9aG1edxw/ioO21movNHKAU5aa+vfqYwZfYPpG+qGgpKM2B+/Zfgpar0dn/qw4W0EDngH7COs9k2//LTvAjT6m5u6nYMuVmflC4CGaHL3i60pYXCTD9gZYyxlC6OjwQwZ6vs591uR7rwR+4WMcyaAFbweMZc48ULsTZg5JYN5r67Bcf5b9EkqhRDakVilm0wP808xGB33x8g6TohjiL36YPs6wtmdp6ne7OCYC+XXnH6psi0W+3xDeoiM4Ptg/PeZ+BJjqAJddRd9alYvCOsA4o3LOcnTCIxnSMdbZij3YuS8ddfg9x3C8s4zaJVlB04yyoAy5ZOe/sbxlovfirId3OHi8MKc0v3305Xdi1hU8aDrUD4gPK2VEZ8GMs2F7TvP0Kh00qmAOBNWvfkQuBg10sJaLErDWlGTE1J1qHSaBOoFHPCdBvRzs+g4aplcDOZ6of0g1KAwkPxrgq7KfPs3ZkxhswK1t0uTaVVFc/vZ4Fw8z//B1zrZJHSTrcL7Cc8NuxBccwNvp5FQLbYNvO6XD9tSAH2xMLiKTUxNip3DlubZVAXy0gl5+mLVMqN8zREiy0ynZ8Zty2iusC5PB39wliQfVmv6u0gKNMcScrIlD3NpKu8QSEFfg8T5ObFlOfEpE9G9jutcCTkjO9QKb8ClC3XGjDSNyVry1aTgDRqohs6fnwapBo/HXPvyvV6Flulj85jKa837TO/hZ5uAbbXIhTF9MTi4Obd4w9VPviC7c+ApoAt9FH0jfe8RSC+heTuG5U9ffpaCDE47PIvJ9zOZXzciGg/5If2uS0CbZSeDVyeVmDoRYZpFrG/DzzfQbO1jbD9AdKWi2rFr9HlPgqqClXACrBtKVnSLifFsTLb8Bs4eK6yIdVUf+bwZoqSLQysNyANXiMob2gHVdFmkqLfVfHSnwX4PkRXB1TDVPaIBvckcCMmyfauQT6PyEi3af9u9XObS9yZHNxJdj9L+0+Wf28f7S83sagmbN5QWP/+6AOzHu+bG0bjYdeAF4Nx6etw34logEewcw8FiOEzwDOtXr/l44temtOjHr4eCxtyvOVzIiAfqH0CG+VvofYIj9vzrE2930sQMeLUCL9KpvzyJMPFiXN9JPR9ZhW3XaEcNkzpVvtE+cLMeM8stVjBIfnOUhEN+nHN8YjwOlFawZ5jQoHqBFj3XAWcpfs3Xmq3KmBxMmPzd+K9gWNESxEHcCL5BCzG7Br6pv4PdHmd2WMtAHNsw5scC/75hbUdh7keyBywCHSUTzeinPZlbDl4N7wMqxdYrur38vYCuKSrA8oFNDwLgFPJtbBTIoAOVBv7Q8iknhEotaqKt38idjyEl1sMCfz0kgT9nYP+Ez/ZLGC6b+ph4A81z4+UEtokfgA177cOZy/WeBPkoK4Die85/K9cODI4M0u61NZ+ql2Qa4G3xZnMK7TLMoLqj1eNZmZotWGYt4mwnlN137WaHpiK0Z1q9dMsA4+PkH7f7yRZ+1a+aI12sWtRvwuBti8v5G2Z0itdAwpqeICz5OnK4EV257VpTkWXBZas6HwsYlEbE5axZJaF+Z0K4UHqt3+Ae4vi/guVPx/tdTF37nm1yRnTixkzy3nxmFf+8QOMmJV5pYGSWksuxPcw+PA3Sn7B2eK7k3g7cktmxh7yxGi9fU5BKCnnM2d9MPxuTpJx0GkyZfdaOu6Q0JPs9SOZccdkLVxRzi6tEg3fOhPYCm/Ta1WvDKnjxXpn6B1267wTvupebMXvO8WPGpAV7Ncn9fdcmD8AtgKZ8JRDF4qleNj8M6EtdD8cRMmZm+Yzm8L1nXLkJjNxHg98VyNveLyjG1cdrlyAc9Y6csB5xaiVMJlaX9ZS1FYclBntU4jczx9BFikKz7TRXylyciZa8pYaQvLD3Xgsx0MH7QY8WIwJuhDPD/Cpj+VnSqzZ7bs2TvDg3Vrsj9C7G8rHaWa73G32VA/ERjWCYuCUIzH9WRat0nFn/xl89H/0Byk4u/BSOBELHiRw1MlYISLrV/VaYG2VWgjVt84lykpqI9bHcMsCpjfAJehWec+mywRzPvRQgP4g42tiZ9yuYdcNLHn7YRMpMB4A6EHnOl6b9+YyFewWuCXyE0tZEL/v5WW7yjmtyVyeGw7J4NuOAOIC5SpteubpB6wyzmBdMxc+CdW/hDZVvNQvI3bxRkqE+HBbSy6Z2MUZHNV8CtB6zTwrR8NsF+TfLWYLkuBq8sh8cG6zj+zUOzgdSQ7JJcgzDCD/I7X8X0g5t39RhYytSfW5u/Hgsi0KykbZ7xeJdpfQPdButQbJiFPnk0aVNvRsapwx3qwSf+MObNoot7wCRRm0HVjHsVR2Ym+S83C9Rmv/1yUPo4Id/jGhV/sQzrBNplo2wOGwyNKYsPrOchFzHi4GvB452UNWclSp7KlW0WYtfcVzKqiqbnM+jFJXN+8wAmgtRNBR6px3iGPbPjSN6q9a8etgRNHIF+yEDLtGyYrkT7C+wJC7AftPTye7dWsctV6suTD8tFRPW1OW/f4Jn/m2scauNyhejrZ2Yhx8y7oiavKdcF420Cmu7lzXeES3jHOq7t3xnPDnjPAVvqljhLaWZYJzoG38wRcWKmaFucKFth+fd1F1zN/LNTOJv6lEfyMX+CPhhKKzA9W1PwUW+J1c4y2L5yiW0RXWwqvjzwEIGpnU8gWhP6ZVfWdFTO3sOACzTne5b7OBnsO7OU+d0OMfkBa2v9ziQObhb7uK01aMtM4M9kjePCjls+wjsX06vnp+Egu9b9ten6KzY1wLlv6oss2bczvAu/BA+j8vY7WXVPw3Qt1uRxYoRWOrXhBT3NXAvYox4Gd01HwPvfGJ2X1FZeEk0D6PzXXfZPshr82hsP9mH0Y+UmgPvK46i+i2y7qZxtlw3K56BFAfmeZPR7It6vBfcDEgZ2pk2fLL43vUtP4WL6rHp41RLb2D+6Cfy5/zqPOtXC/kxHnhVDD1waP1XnW4WNPmkHHhO0hdT6CvupL3P+VgsO8WYDDsfgM4kALO5B89xBA+5EP9+kNbdVqEgiWpfCfwencQAMeuUDTLKPl4Sp/2Yc5oEnor3H1n/20UYZ4NqZoGkj0NTXOZF1zpxk0G0ZoSUZPNPPmRWWTaSjzBScrAnTRxOohdncKig6sn5LqdP/9QmEvw+iT+7hmWPTX6jh3Mo6GdRmvoLgB9Ozq3Aui8zViQTBAtj8mYov8OB8kzLcVb38AO1WNlpPVc9/CuC30w6Bz24/5Y7vSfRXFzCREJigj1MeeEl1fl9KmjyUddtUATK5LN9JBPumn5aK+gF1zETCdo9d3DdBezLZsQ31P7PQAyb/52a8X2Vvu8nHlith/4ixBv3y19PJpzsE8YXyhG2fLOA2t/07CR/uKbq4sO8vYqeOpY1PGWheM0fjaBVe1bWdFOzZhLcVr8w7uhMqLPI8BW2fAsFl4R64j/hG2xZd8bpr01lnTkNmh3fxt8mpOa46bTq2OboFcHgP+1N9n3Zfm6N9WXmHbuBJMg68i4Fvq5E71MW67G2SsmThDvES5gkWPDy1i9/AZ5ei/5u/rNUwiQY0RrNDU+2YvDpNuBus5DmnciVBM8Kegs865bw85QbbJ1pT+ZGEoJDZXJyYnk/BfE92OJOO95YAPx/syVHdfzPxTtzvXzkwhenhEE1v6bBYyvD473x5jkETfAI/F5kTPwprwabnZuLCu6b8XOvYTXrYT0NvaikS7gLfj/0K3lzXdoyVrXzQdLtmRKBByGuOz1S6JMyG2dSKr6C7YP8CpyJ8+Y8j/nlHO74wTU7SbZ9AdoGMODj0mJyQbME/7BpKVtiTtB6IAB/aV/bUgUaQiWPfk/O7g8/bVy6WmVW0Y2xpacg907eryNszEzgvO//Mxn9PuUobjxqR4OuhAvxWBcujHJQknNxB0z44uyxK4AdzfW76tlQ5TlII9pS3vWRTVrO/e3NT53ni4IG4pW/gdE7ZLrZEKC+mbyJhGDSyuqc9esK6ydSS9xI0cT3Yab0zc4z8R2nFBWb2U1J8K4eNW9r6Ulrb3zqZX4wR9qs35gY0AGXOHrw3SpsdT8vxay1H8iM0cJLps87Yo9SKgOc+izGFfa50FtolDvkBfMK9tGSXUT8VvfcDsf3B+9gFb58z8BdlMIWwH1532aAFuQ8a8oOt5Aee8c3MgVX8smCXf55EO/Ledgr7nwuekuNBpqDPMvjdHQ4Z+CkMrtp7M/VhFEyR6uVEuZwqNpdZv3wUQ+xRw3z/45TDE7RUV4MntO2yx1ay8zHg6U4waRONgEtNP9/kkQ3omoSwTAzWlHlrTYENrH7D8sI1ud+ZTt0MYZmF29BwPe2AC1edUWD9131laqcraB23FvNbJuA5uD6moOuBVzE8829/w4b7ScNsh0WXTRK1oHn4AYOmqwI+lq6ambn/sTbgm8hoalhIsAVsnWXNthNouNd6gc+38wTpCXykmwzWcsrjDYG/R1zQHNnsKuA/0qMZGO8J7/Vbsa2r8vgJGvjExPxp5kI0Ov7g1hw3Eehd0YamrpvYk8l4+M1lfX1WE+FzY+qt8uLKee2pfCrV6nfSVCu58PtXdWzYdqxE+6xpDFrx37Pu2mu6EgvWllahtg4WMXeG5e/5tNXCGsZvFAGG7/xArX+zCXRl+z+kw6xy8AcLpw/gd5bkX64I0K3J5iEbvM0Jtfs6j0nD5rvqSSJ1nMjAHsoI44rFbmFNAbyDouq3PyT0AkElZ8D8oINT+ty+zr5AB9aOCDg352oZwzZgx41b2yB1YV07U0OJxt965LwNWO/tK+Bq0GJnmW2nMorXeqdpSlsmApWmvHbqYELAGbs6xKA0uNv8Xw9k8Kh44LS4i5APEK+HJpx07Wx7HuBNSuNP+csxG/Bw9mj6rlWOlrLTpyLXB3OvUHH9TAUf6lWbOoaJDQ/wbhB7zruV9Zql1vSqXbqWji74Dk8nCEbYQyHP21NlzWs6oidjpm70tx92amZ5ETcGbE6dIgeP8DsjmbwdrS3hwrIA928luETQzE4S7B/UYhZ4/F0m/vbGB8Sx6We9z7h0WTCPoJ3czMzj4DxgXDKJTI5fsMhgswC2fMBP3pWwnmWoPgHHBrLTPnNJKU1PUGfzBK0QZUOLOcSyFGaG7vbVP+oM2laD9+2P1sVqwjZKx9qTuU/BA/wALzM54v6Usw14O+DJOQZsBf8B6zEUG9gT8HxTl4SzRTSeMlE/cC7nk+l03u+vqUN64NpX7dIV79rPyrGvBevd2mF2HeiiCeWeMC+repIlkf7IdngsXPAWK/4WVHkHa0nl8O4avAWuH6Tp9xLELvBpmhofG1qPYtSfcrysoBlfOI8BP20zY75CgSXH2GP0n1OFzGWU9DXCC9dY19rUcbw/k7HN6XjxfvPtu3bFu9pNLGJmSgvOpRZI5cl5e6ttbGZo/6hQRdhBr97plmLzJNhtqZmZla5gz6E24fEtG/gGuC1R/W8OoHN0tVVBnCeM8zIERTgW9olB3JmoH3gqd6aOBQvgnY/GzIUUXinY+6Omr7ntpk9dYlHwx82oFxXJjjoTyeA/NsEW/zdbSZe1E684J3kztJqv8udgbe5l2F5lP1umn6TpIV+HGmXnLa0tSbKB5NwtbOzsHdq/ztnmM7e+HPCqZ4XkkFleavoGlmGc1J1/Kyk+wb7c448tS3Y6SKm/1qEnVA7amUnQiOjBrVgmfWGJ3M8zFC+V0Bxi+Ig7pWknU9Ddr88CHevZePjyMooZeLwJaKjlEbEPq6n9lZ10bAH89CafMyHr3sKgcLgGDutiv9T9o+LqW/I4z2xUkkHfk1BvEstyiLt3K5f3sI6vffhW9iguYS8eHTtl4InN3XfGWzeJ0JQMWyu1QefvJK/AlRRMsnr996Qi/lAWfCeNCcSYDdibgW8x9+F35ei0tFAEXALvOUY0JK86xJ8s2DwzwArwaEHT602F5ARefijAw8H+nSUja8XjE/jcfcn3tuTtTUVISO1jPBIL4ud4MmcgsF8lU0vKpw14gTPp04dEOuZ5/9rzDxpIfgLeSQBLQPf65p0SZuYPLcC08gT+dQ++eZdYU5bZoEHtSWYM0QQ8T9JPprfpZxaQn/Q5Dyz0Ts2wjX7PvQPkUkbMGr9w416I7QI/B3H0m78GukxT1qUbwHXGTW8WS55o5Heg4XrQ1wU280f6JRYIMBH2gwQ+4R25iV7dYY+WmcUlRv491TyjvXWXInh9r1TZyMwbJ2WAPNN7ADTTiJEOIA7bYkRn6niPTNh70vlFvZOemdFUOuQHtFCELYMtbQ5uyy74FOEcNLG1FaBXSuDWmQXtd9W95prNF9q356TzAUseDqU4Bd8ECjA+4UCa2cOIov4he+/KV3LhUZzWASckwOeit7NkBO9nLXPTm/OMzb0BRQxofTm48ok7+VHb+p657OWXwybHOQM+Sjggek+WdAyudc4/6M7XVXhzTgxflFs/s11t0THOZT4NqmNXMrTE9NQqTU/bgXyCZ/mkEBeAPacKvDxwzlAN2uDrqzbwh7q+DTwtE8BL0+O2FrhMnDjmw6yT3C8Tvl9w7wVlUD8A53epw5m588I9jmVPfu9hYQ90puaUdrEUg70TO4g1ByKa8R/wGq+zL1Ao3rUMpOlF9ZP910PhiHkcw3v6gVdiZWsbVI61mp7wlSMt+PwLDuWhQr5TjYrg3e8dI/xMeyyE9wCNas6PnSyKzYzZXAR79w830OSntj/zLnXZb5/bCSuX79JxYjiPMR5S6+jIQoCuBg0gq/FrU5nc84GXaccfWDBbiK1Ffj23nFKarumqYJ30Oe1xV8P+ed211YJAfOkbX/cP0LWJ7My+Bi/Tz8+U2RfwhaAhCUo4MncDI5AHFsKbDk7vJDui014VymrjrEufLPJBk+gb4MZIw+29YNzNrL9e92cKvluZGZc70IfRpM3ZAxkD8KPBg+bYzPP1SOAdy52PxDiRFJgL/FhYctPPCwvCbrBP+2cFnFRSjkDjDHKHvzmTe6aLh+nx+3/1DrHPTb8zM6+UKqewthFj7xsc7D2IvUdqbXew53/gsxIe7O/lir4Z8s/EzAXIkVdZPEg7/K0iAn4Lwb6axpOwlizHXIjbmgSP196YSzb74Je6Ujw2NedXhtIFeOMbR/Buwq3Fx3/m3mGuzLy4QQE+pwuj8VsBmCbziyfC2mWRvBYUf8g8MHc2ThbGT1O7m3T4clj3r/gCTNam7ifhuliOTnrNVmadQnimYPPbq17mRjsih/feTXEFfrxlKpi06npXRP9AmxWg0WJkahtKpNZ6DJyD6ReMmOltmB7/rwYBwA72qHsBzjP3aTpqIvl9yoml9MU75Sn4oM0Dr/Ex6WdzbtmrPjVnArvKen+SXP0QZPJw0Vo8Zy3dy1qN0mHod+YRJkg9+Zj+zfExOC65DzzCvIqiT56rhYRq5MPyWeriCX7/wajelas/NtGXXQXzqdoF9sHxuNEIgsd34PmnOZs8cf8NeN9VXGZ0Jd/S4XktXrXtt9Xk8zdBsAE8Ba1FQgIKqEQ8I2ILOpGgsrcDHshrNWwFt40Wnj3Q7g+GSJwBJwIT6ZQhwAMbJcBCpueFjLAGNznRHYqyjrz81wP3JCptcshsZeY9ogbWPjH31n1cljvwiyP+KCMuQTmBv39fU0b6RmzD2k7vqbk7H2UgItCwLjZnSQEesZllKyD2wGNK+L3TK0+PFuJhcvX71OWigL3K3Rhw+uLA9z00wtR1y4/M4Wu5IwfS6wtx+sfR2VsMtEXN2onTWJbO9sJoO2VcM9DrLhnmPQ9JBN/wWLn+/3J7bk+p2+L37LFHdzN/JhEXh0bqmVka/G7vCIgBMyepdNqDYI8nrM8HdfQx6+OjQvxWr+rtZGZEg+9KqALMmC/SUkj89lP0caP7l//agHcDrt7uk0Ajbk930IMT79UmHYnpV7JUo94pC+elw65JHq+yLxbQDOCNkxV4nvGBk7LfLhQ8SKPxWxV6GrQIp7mZq5XCfiav3O/Hr9cO9ZFwnSozJ83MfQFfDs+EzMzMJrvZIgisMog/+ahncz7Po4tj+jWYc7fff9/JEDQyaNdtKrLZcCygFWawVm9ExK8zc13ngVtRBc835ZXprebw79RK4TknWXCFTqbvImq9o8lhjdoH6FlPDDMHnxWIMN4rp5WZM4GO45+pcVAoWNgIHM45zXJk6lBeGuBR5QhjG9/LwXqC8rf5QCS35e/8zopPN5Cx/+VduoED/h+8378ldR6rQLiV2vQq9Mrf/IDV1AWTjCC/N/PTaltNsKYC3uvLV5a16Z2MJCY0vVLNjxBbczZqDfx6KAdlciUTbk2mn+2jdOb5tItpo9W53ikbg7c+RTxrhJk5Ob1lPUelWHiya2MeoOlgejCx/WtvfKTM5PGZHvW6lSvZ1yPwoJ4KGi7e8X+YUzjymzE9VFZ7MToV/M4OvGNXWRuHh9vvtG8zQHlickSrvAZukXHlTrjpbXgf6i/PnIV74G2lZVA8G9aCVsOmP4LI9MTMuWIi5hx0TCuEZcOeNWerHogydgL9SMwsDNA+AmxgbS2l6nVJAg2aoD0SylvQsH2p0ev8EGKOp8Vo5rrFb2IgIz3Pa+1OY5JriNEpa4avJ7biSzVOjwY8d6NT+Hfvh+xMbTh8juZnAb6tEO9PzBbQJzo7WsVVcezDnpZS61cN3bPJ24G6eGPmiPBBdkfQMIWIy3qNu4w91uOK+jInsIf8h+CSK9Z+HlblkIjwwtJrmk+g73qrMXUbDurSsXWzwB4z0K0Zi9kp+OtHFBTc9IGPaTrGU43MOaOpfcB+IpYSnvmYhbdrEsU9fO/PUrRhJWIJ71bySO5EFy8YtC214tX0ugT/CS5CFhBXA0UYuAG0bfg302QGv7YDzkgLRmih4yNgWls5aDazM6VdP4XQBxppF7CiN3kGwGM+d7FddZywNXULF9am98JkTFy2863KJddyt78SewpLhICfvl75oqdaLC7OZpM/93O00T2h0vSv/qmGzZ2F9px0LYX4ykH3mX4xThWpSwV+oBzkPWHSZwywL+g96ZraE3JjuQId3v4k4UxkuD2loCH+t16eCpcfMwddCfutCdsc1vMTO7bGPV+KgXnZyg91r2nJ0Q6HrU0RmQRHPewjG1NypQ6gUdA/AB1t2INXZtlxxtVkakzUKH/niL7uYRN4901YX9NhGuGdu9gxuRxqJ93aNf3dsYOG3zMHQI9miKmCmJcfN1AZmxX8/I6xZIX/WfBJb8dVn+gooxNFB7WSRyOSDR76194YMhsj0FLXhvpHkJmoQfUm4e2PzGabiSlV5hlg71b9xauyeYA9kbKP980pnN4wbU+4f/dI5J/LiLjqvHXr4cuhbm+rAC0n4FZG/+YU21SjxeRvHC07N98XpK4n9dfjtNNWGU7f1P3ySsf7rPvpCXF0LmBP0BUzHJreVeQs89RhK9KZ3i+M49L0u6b9/APa1mUOCgrr8sIoQoctxcw+MocvCZth7SddWyRs+taXIegBc56Ym/yg+KPpMa1hG8AbnpI+DrCjgNfrR5qTM7fQ3Oj2wO29xS0PfCqCvYqSBjD9ded7XLGV5ftrzfC1CcmBO9sH8MWG5X6swslKhhrieJqSYdKZ6S03ctDZyC5tBM78fS14nNecROCj7Ao02kkkazbYD9DTn5kmC3D+a95NwTuMCOj9wpo4ticMmuMBXkCSUH6cBDqZOQegM0GLmDxtTOA7sILun5WLL5zFmPW2W3TkrRkIYwiBL2k54M+dWcstsdSuRuRv/lcWtAuxZoP1edaBOBm8gDJvAq9I1XCxDra/glbuwLNaNGh5DToxcdussNs9cdsfNqAS8HdXG8+O9k+56z2BdJLQOG44AvOn/uZWHC3eFqumFVscFn5Zgn5ZEriBieCpoviQ9d5BRr81AIDZOsqiwuQ+C+mCJ9LgwYZ4D1rgBzR4wXoPNMS0A2y5gGfc87GNGt7+9Qdgtsyrj98ZQCH8rpXCioMvsmsXsM7RdklVBjybEVO7rFvRgD5Ww341eYYMuFBpRBSLwyRYPmCdJtKDNulBOwt7d4r8J9F/eebXtJ+SascnPPIj8OKptBV4AvRRgxdJVvlTP7cYvA8DbAsy8NK8t+2ST9eCoxHW5hui6igZyWTun1Mq3w7uZPLPzTN7gAwJDf7qbsAf99eqi3sl4hEzCZ5pCkWOMmbN5xr0Muh2B7ta80528N1Ah837dMQ30AOWiqSDaZyVdhxmrt9noNCotU2AnwDbMDI1IM3w972coksep1zmrJOfZg6JmRwM2gh0wwwYGLdpXnukRwc+Kjdx0KfokdlHrFpblCDykfaARXl8wGv/xCv4hh34LuYRnn+Bt2J2NRSv3O9NuspPDqgKvt/goVOwvScHfZXObVNFeAO+gLPVL7CWvggLr8jeYW94BXzWMbEKj9kQv6aX8I7ksEagy0lp/JV8vi94R06wqC9vfj/Rfx5odw6atJVU9Zil4PE2VuF+PUkXlxX4jSScDvz5fic7lNYIn7NIRTXTN/AR34lAG2WBJ2Lc9I1MEtu/Nizew3cPqoDcT+yvPwBoLrIBX7UkLt5Xuh1q8N/A3SdYu16B/i06cMIuuTBbMYr0QwQXiF0+i96y5I5tTrt/q8m1I0HqVoAkKkotwNZb1dvwuwpb5frVjwj00LQk/dInEd8TjUIm9Fm6cqfG+JSYsydGINbAWzi9hQfQ20wDIYMGZdwmHHlFbzwnCngff1QRqAf69eBafdTgyZLg8qABed0TnQWLC7UqDZga1Vz2NYqvCrw1G1o/c9QC+z0XWoWilws8C8QPcDeLWym+NizcXoADTlzgMbHQlUOMJSE2vf84YKupq3JN3t9L2wAeoZqRhbr7xfQz5PSf+4uHoF1gXxxAfxzLUMukV7eMyiLtzP0CDovc77jj3ZIdsrOQfBMb3idDZjbeWDge8Mbmjlf/cULklStitMV8dCbGnKWF5wL8MLMzkSctHZdmZmRv+sbPn3yIP+rgtqEDxO9OhzVgcBkBntl4AA80HiyykY4dK4P9LvkRZh7TqAVe/870nspBR2m1GTfqZfUXCewgqclpTGF3tizVcYhD+WbWQbr+TjDQUaZuERyvNLPaQENK4VmmT0C9kwUW+DML97bR2+Cng3JIXrH8o0TiYQ2cL+rfPj+/Who8UwEe7fQxvwkBzz3i74a235mZp21aROT1vdkRTG0fHdYWfMbe/s2j0tODO/MePOki3eKhhJc07G8WLfgS+ZkhfxY0WE7Z1vSRKeguToresxTF4Jd5enRBm0W8EBEg/i4uwV+tEAMI+FsAT5zBGz+yvHgQZ5EiMPOF8J7t8E/J27fm/Ndn6YcMam0i/skQeM4V36QDDNfFT/D+e8xaKkPvooRG1Q5FTTBZ8BmHcoeYmWPK7cRijKTlc55qNkXNzpxSxC7u5MqFDb4ACzH8nVX++jiGeg88l5fZkoKOPIjemwBrMiV4VDHQDoCiTT+ZUa+bJsQRxMSSmZm09pQwjjgevxwzx5gHlgd75QK4eTs8t6Dwp6d8bl9nDgJ0zzNdUcyGpSWWndWu5g3DKw/UNRGm7knmeNiGhen9gtojjcgTNFUhdvElsfUbs/WTcf5RrVhmOblyoQl3TK9Te6V5G8J3+785xfq37x5Pwjaucxk1oEUqcGN82H7iEQHXmdyR9yXRe/fg/rtzNsGfowd42U163p5lz01v/E3ae4vI1ZWhOCMr/izsf3e84xe1/nHKmxovGxZMYSZMXwDV131xP66JU+TtJXX4T8VIDtx9UJ1EjXET4vdsgxOLD2Z2S2K1e1gdCRx4AN1EQYeJSmi7Os8DCYJrE9Wv+5SusuMjeKGkGjhRth8AThcCtboxd8DBtiAuBl+iro3mMoHYTPv6kQWBx7u2B6/gYz3tzFzCjClYa3xQfQIe+bYwBp7QhT0+LK/PmpMcUxaquYnAFwS4AGw6S9bOYpABtn23tvQuMzOrzX2w0fWsJczcmeSFe3AKl1poxJqPUsvvrN+yEzczX5GxsC0DFKC5Xl/1RCCr1qrTH7gvNiTwwGcjUruKNKAXTM8PRTVRkeYKwZqscZjmyoJ9iTPdm9oilAlPFv3eBp+dQ6xltVZFxSZboqkAr/VTI/Xah+FvPminAENlloEGyKj/eXzezJyjZ02lXTr6JzH3ep1+ZsO0gbV+ANYNYoiTzNSgWgv93Vf97EEMPwsab1S/vFGKgCa5n/3NJpj/m5M6KgJc8b87JHIqwQ3UwVTWgX2vxbZVOVrA416osz1WtHBTgQT57adAnBK0bGX6/ztxrBzvJ3E1Bb/yRqPiyndfV4F8/Kexd+qQ5MRN9GQVXes0XH6bWjRmY1xFyVrxL/CBs0PX1slyfTP1mcxtI/DQjuy3vRSTC974rKypqxAPG2Z/Z7nK0lF9mrlogEEvvRGVDglPoeVR2Kcn5pk844kj5rEgtcTQYhIma7PTScn9I7VIfAr1J2BuUjB9EvllyZjtq05HwOWAofOF99sf0B2ssvhH4fIiBTZ/xRdmHs7G+MfkgykNi+fyPjXzETtuJUFv7i/G0iqup2z+OAWgtdf6TlH6KCj4pUCyqmPP0vYHKRjojMnjwouaCJf4Y3sHrL5Xmvx9lhIbO2V8pVF8rXi8lNZ2X1AyV2buBscZCfmagu+SlLl0CLwK9msp2DO1Hl5tbW+ZG9NylBR8CsoCjUkfmz4h5yaS8K6Ze7D+5mXva773aM85eOoNBz8Lul6beR81e/d4FJvZ4gtxJbCYZ/rth9yNn+DGbbpCDDDuCn5xzd2H0fxY++gk5HcTzDHs2TAVeAM6enp5PRzxvN7pj4ZNEgftyHVMwBMK0nPGBMkzZznyEd8PZi6SQ45NgN6SsX7U9pcnwvZ+CrYOyeOO5G0L+ujOHbunq68T09fIJuxo+6+7tlNC1Q9415vx3DSYF+xOrgJsobC/GoRsErVpHS5PbCtLIXUlPF5Jl1wPNrmxXQrvVXeVK4vKrV3wYglb+aBG/JYFe+/oPKzC+csVCTK7WKlYUubiU+KouXLqDcTavgm46f2dlI78MXealYht2uGhGSQuu8RNAu0J0NSVqJ9VrqfMxTMDb1Z3yV2aO5GR3wQiFqV/51GgsOTmJPZW0res3rU8sRFK2X4BnvxuNLwLK7ZMv9Xjc5ua/onwTrTMzJzg9jPtQUsLcml2qWVm5gBmF+D1nMTuTa8imw26ADx2/jwRTe6U4ohEOMMo/S9PU8i4djYPLBIbfGVqcoU5Im+g/QTXgMBs66fa9IM0c/sKM+PYAdz7oL13pK4Mj6u0M9DKGUJ3FW5fXNmBr5uaAIzqcwt7rw3KHd7RnoFI4Z+EmXlj0hGdjPhvvU77Bhx/U+4EXgs+PSStCNmSOXNcBhK+/5bWol3BW/jliD4ol5rzv146LFl9k1sQyvzrLne6Jx3agz9dRAdaMsTf/+XVASTrwANcB+/kmd6MtybnWSW+7Dq0eYb0vu73d9BDI3Haw4nhO/jFO+AooXb/eof90bm4KSegM7gmo7oTZz7W9vRhNB7ogVsC+g73e4tYhGaOBicyFzWTLeigXWXLMx1JxBwzbxX0n6l75tMDYg38iC4wR2HKX/Up8wd4TxuH2iqRqYey7xXEH3drp4yIB5rYKi1tpdYSgFY/FdbiZnq6A6XtEgbcOfoC/FCbhYWZV94TcClyF+dlwD0ZxSzpsU3GdnrVwshRbUj4dQdcwFU/UR5NqaAt+F7QAWZmbigtwHhdRwhR4KcyXHiVX2waTSTtFwuHSyk+bmZeUgaeosAMgyYCt679tgwTmzrTx+v8sBm+rkeLTCYf/uDYRZ3dVtDXocndSQZAaZeD98YIPElkdFVlt0/JY6M9j3WnNpT6T/7cwud+eYqprAzsLtvFG7EDjQrfIbX+es+C78Z33JMlszwO/r4nAfiMET1KFud8RDfg4OLg4Gdm4UXl8YJH/duD4xRJ3IyJm7otRNecgLcHca5/ClfeMPBKHeiyGMmdOX9zzWJ4zwXEkF9yeahZchVsCmrBzyXb25mNfNbLILE8JvXlAdiQnKL+UY9ainC5NAJ9V9byZGPrl6Jd4GdRxqa4Di73gw06y76sSf7q5zC3DephTdqZm9o7oC/exTcByq3pAP9WPpaM+KZPJzNzjeypF7k8897UvWw/GtgPGcK81hKUvV64cwOf0pqew6cKTZJrvBT2a8bTTDFwXGFtwQ/bEFO9A/gDmIY64O4eC25XfW9XLr6WdvzNrPnQcGXTj+3+JKYr7RHoWtLXw9eS9jrIECg+0CPYvViADWnak7Li0+ucTbOQ92bm5+F5e1DH9KbfZpTXHuVxSaM9aJP9Al7j2/TCY6ZfzHn+ge81SYffMFUeHf/ZwHnnysH7RCMI3viHWN6cBLhTuc7JSF53HDIZHtdKbEPQ/LeMmazYL+DeeYbnxaBlooO1vYA2S2g+5XW439BRXvCgTePbgDFJcRD3NVXxKXjfKD6hRiSmDuyemNoOYWqj0csTXYlQV8Xen0m3d8thuZnZk7Wz2BBPReLcnGYMnriLwxp9gdYCjhjRrmD8Up63GwGeHvwPVbvAxs7lDp+h8U7nNW0Lk/umdsxVg/fKJbbMN6HicaXhdleBLwZMMvMiu6JvKej2BfBrrnbyDprWSZkeMqdek+7rUbsEVEb8ONj/XOq04MNkDFh4lKH+MFzIYW0547PqyasGwVKODf4GRQaPD2t8EUyBFptM3qzhjbu0NptkbYemix/FON14jm4ZUhpn2ydo4pD2waMe2KNiPD4hsqsdHIPHiUrwYWXXb1ifvO4CEGDlkj7nuwI9mTgLT2icEvANp5x8gw/hp9z/LNnvjfqhiZSjLL1hK/pQOd+r53wWQeri3syKTZ4Hy+tqwDrRMQ88BBhRHMtOvuoC7CacS+Lq7OjIu+jt9bgWi4qCBzzXWVDAGA48uZMQa8UV56CDKNofLPA1oy5LdyqbPj6VoGVA/55SYE1ivT9rtk3ge38DYvTm/uiFGyXvH5XWHzzSHhn5Hjg2KEAD4dz0u0ILzmtX7lJboK81QfIoefvJLEwbZu75NvfKzIbOVfB7xje0sbLIHXguLQVEhiYT6LRXbcVbstZmvkaf2KZmxu5AR/spZyY/BWKF7KkT2yq73atsOxYOl8SZ3kC/u4mZteMSu9S4T1nx4MP0CXFgl8x6VuYO+GMeqON9ijB+ndtEqUM+q159lAiM3LA9UfFu6pjeSKhNndbbCf1bTyyOWOAZ3guFxk8RSi+xjF9QPWg9fArjUz3KFPw6MXuYWtw3s0jYx+16WPXrLlvSgXyDB2XlSALlSItr38EdaI4B4ia6PJs8vrCeUzPzzOS+id7zasSPJy6vEvyTdJZz6YJ/zqUlBeimnGT8+X7FkckDBm/N47/14v3UJw6fQAuOmZgusMdOGDxqaqNdZkl4ls0zcwhJ7RaefylT4Hk+TiHpUk8G+0e9IzHV01vSGdVi6r7QRBx1g3j9pGH9TCleXlwJEGD6G96UBbHbAwz2EwPuSqW1nZIxcEA7eo1Wkpu+66bX6HMb0KEHPDf9zbePJLR/kkiNsC9bTtGYBPP30cYfxdCaeUVnJv6vRlUFW/CC/tEUL0kbReAfn+WgBuB1CzvvViokkQEqsgHWNleitHieQUzj82zusL9NXybgIIdHPeC0dgT4Q/lxc44WNrkuB/Xx1z9qJh1JToCTcsQ+PPN3GRRX8G+RCPCPYq0AXdGmOWCi0OCVv4w3MeeFfmrmi+r9b//Kg+2POExBC3NwhvG56CQXfAql835NNX7hfAo+FzwXejtRfD5xAmyGQX8sx3JoFx6iLnWmPDW9DiBWavBjqelvarUh+MPxuMaHgxvLRBBOzxAXbjzLAd242M6/OYODXSaDfHnYXnYoAZ5oT8C3SXh7nGhsZnBfcK9FZsc466UkAV7h57WI4ifV/IpFvNCdNHUon2VYr7XDD7JHn8BbfUKRTxjfgbefqrB+ZJ3/6mFyFzxxiUCyBAxOO/9cDHGJddw2wc36PUMw/YptaXzeJG1zv4qf8BYTzP3/+WHEU8daCPM+2ag/i34p4eNCHHoRy7UH6m18cQoVgclnIjXnVNr8l0erFS0qsL9N/xo5eG84nwAdvJ5G/inbmR6lbZY4qc0CkLti2QtKSNnblKL4SOE9pEKvzEZ5tUrQSMEr/zCSIf4vpyJCsC/w3WjCikGE5DwGHwf43e6zXeJmuRyKVb+xEGlQjg6wip05bXRwiTlDNLlNcUb/PcxMb/KxBW3Ybg4u6Lt+evmUsqCxX7rcLWkbqFF6qcllH0DnAr9T9LUkYfKsKLikfP+/2VUS9l/rswD+DKmFml5w1N+QQcmqBw/yfF9+zzr5ZHqe0yTCf32JzXz0zNaHgu83VWRamMdCOhBn/MsBDjrWeZuZnFrQQz+ZjTvQ75/guPYlj4GrFmy8Qu3YjgiWn2IEX7niu4r2T4ymyymaDoLLlzfPTN40cCT4N/xWOHjiwLMyNPe4MeM2WwqXmb4Bshi8AOIHHN37Cp7zk1rvLmgOVwi5ocLTTcRPBXt3D86WH93JOgW1R3TxIPpVC3NbQIfdjqs+UnNztsZ3YJ2cWigy/VmL3saVo/dpLyPQr2ZWyrFkyEoCkqcjMn0DksLCBPQO8DP8vTG4ghc7qR2aS8Tbo/1fLejrPEqE/Js66MwHZBlO+a03y1FZI30rbdUVLvgfjsCL1w8mJkIHRWEhfTb6d4hXkx+TH57vZuYK+Ej+AyY3wJyfCz2dSbj89mZ/nemlljoY3obn9rGpQw3RyPs2xWGMxaDesOkhzrabJlw2x+fN453e4AiTTJMTC2f7RHsb+GhTOa3FrQW+V32vBnVJ2eQR0Lkp8OXrLAUUXQbYNtSrarlWA/i+Qny8W6D/HwfTw0fLY+EQw5cWaAWc5uYMP76YHi4Vm0fTZ4qHeKg+QH+Dxqms9gzPJsWgM3BUoOHxK9dxI4dfrMSVhZ+mSgLUofd7Btkl16MLWrJTH+ZMAnDYnEmgvzMJtv09kzih5Imd1Cu0utUD6o9rvTnYxIEoSanJd959vTQby0CnVa7pVWr6X8gBMKJXu94h6PJkK4efQubsLFS2j0AP3kvQqIDd8ylXVq1xmHX99RRO6LeOjpsafpVXkS+TXuLy4/1u1vLv7Au8tUBxzHpTJaMIGXrwTsw+OvMgQj1gZ7mAfyuZYzPgpXv5WyMipehkwRx0wJRZ0iWsWjFvUCtPorXBN/wcnNQtYV+m7K83Zo7Bs/O8jWHf6mZ4f8Azhlmv9wr8Dh7sqGLoQcOH0wz6AwMOGTyuAtuqdvyS9G3IO//H9Kplrs7Zb24r/q6GedMM5FpFqi0c++W/ktT0AkbTp7LsPTG9m1b/B95XeNrFTtGRohHaVLLDOvoLduJrxcDvifYKWPNWsY0FPOCfdsEjXZMH1bIg7AbaWJJT2IZSANbrv/5RHrOWkI2xQ8LC42ucC65O4HM3pWVfwUsUzcdsZnkkZLDXCvRUaRFRhaZnLEeFuMDvjw9VgP4fU9/W3aquNPuXuJiM+HHaIDA2IghdQG+APEJAYGITG/PrTytrO9952mOvmcRYtKqrpO5qr3K237luzYzEJ7bbtArRnITLembTSzuIMyNV40j/tJLC1FPXjvGFBw3eaXYOlhvebz2sMbBym4EGG5PBbhOr/akHwCV4c+cQcpyzHc8dorCOsL7eQwp7yp/bRCAzy+NPp8xNgTzlf3pkODwS99Oc9zlphK/wt94yqjNBYzP52WPhZTVe4iyH2AVs5aGWNCitOtBI+PiZM+0DbxrVfnvNwylOAhs4yeyS4f11HnUnK0/ygHlMoLb2CeBf/OTWxJIwfjR6OpQ2estDz1G0N3PYp8adMtDtH2rd+RhI9cna2AJ4RQ26pRrbGPbPVPbEBZ4PawY47fOXL7FUXeLBWh1B++B83GElZiLC+UF8xJjxMgm8DbXVPhknyp3Zgv27lrCOeYAQtw7PPNpdzhRXabS7iU6XWac5g31XCfsG7+xW/R/2tk3Ac9NfK4vsmgYbJy8S0DQx4Y5dKQEcyZLGX7g0ZwhNL2PpYuPF74KGugC3SnPhHbAvTQ3GL0cgHfrPF8Mhb5TGqamNe31WCTym0QHoXpVw4NfM9PYUSDBHD3XHNbAQzSAPMlinPPDg8z0bu7De4z9Lmp5eJj2lP83sAK/2/4HmISVHktEAXVnQhsqNn38x7+BXPUbUOO0O4pSZ82a8qifo+p/GV3MTXe4pm6k0dcD9Mpi5TdQxs6X4F7bijgh9KE0+6GXeIHLBSJnajoLCs4rBe/lwXkW4cXCkf+Cdf1cFJxgYQxVuO1Add/hvKUEEKd5m8K6NtxSq10/gPyjhhalNU0SO/Hb2VcpFdq2B/9fsYebVLZQTnoytQxF68flv+P177SSuoNySgTm/w0fjqQcYYnHxvjRiu/LQnCVzh/HprfGBS+e/Xh84gdydOM3mPB7sNL95VXEBTQxaSksnp4clB13BA/K6/1rMXJVSEDsb5IaPmGFrolUow6PTLGcx5xI0O6aaCh2457HdVBEG7qmEOYNVxoI7QDuVb79k0RasmPIz8H3IT8652F24wP3RmV78cMb9/FAdn0CbXFk//ySWDirhFWrFX6KYjk2hEngPhGjkyiBbOPAyElgb6mdrE+2+qJBhZR9s4IIIdDIBnDd3xgJ0+RM+kzRsep2zATqRouGyAz6YAxaGjZhECXnBzO4tHWT6uTfEgneG4uuZeQhweiLWjITQlzxQAUe45Vz/wD4vlbu7wneWsEdB2yibuaiiYfyqgYH3B0rd0rKy2lvuKisf2aocvjvZcadsLKiz/ai7Ty83fh6gb3nU6tzMv/m6Qd7+tExtAoH3Shw+nHWsj45XJZYNWpbLzMVfuS9fvRVfbJQ079AtsebuXKAZtNcJ+MoD83gREeQT4DPASVvIj1nOLsbTWyZ2q4mteqqxgBgqmzE+NKEeK9HYIkKdCGQgun/Az+MEFM5fzRLs04T6OGv83cS7zzUJJVOgM2TE1rLrV8CmLwm5j3eIGT8GOcr8704kxPQ8bOHJAwuwXyZMgRbjN17Ia901brLiQ5X/za66k2D6OXdmQou9O48Q14Fn/DTelGXuQkwN0/sqCu1yC10aGu/TII6V3xaJ3t1ZuAB3tzs1eD6x9dOclVGNeLXyDx4sPo7YAxjuS1d6Z7Y1flDHxJUONefdSD9ZzzHTwKMFYEevv1XQuNj+dGlB3irXzMyAHT+WkOd/72KPgNlp6veuGuTR+GZmHc4SBvmriDnE4+t8Y6+i+EJHrZmISw64zpjRy6av3isbTfbNwGfez0djekwL0FbGX8mWi4B4yMRW0rF8smHu4ZkeoKSeoNkziqSddCSio+Gc8m+eb63ViSJtE60fldgirKeJ/fottJmygkXZ+gt0yxMHOJPOEsFed8wMyUygG0O4z2w1Cra956usqn5LIR9/YFsiogkrNXKyfn7plFsjOBV+XCWmDm1E5q4nF8YXyGllFah7gtBEhDTPewG+G/161AY26B7Fjd9tHhyWqggc4Bqm56eo+JRyX2LYwy1GoP/65sVtytxRB86UZ/rLS73LuTkf1Tw5ORM/rmhfjmgGrWRLS/tVyKy8t7PENXeZW07XHXCU4Ild8paPv73FNLGne90vwIPNGXrzqHv9OiNylUBOsv6D9UNMRY1t+l1kxGUaTHf4Lm9JYfrlcJH33AMOY+rfYB/ENB//Ad4CXwEsK818d5at1OUot9vH0dakBJaiAF/IwF41FcbXqgL+kKsO8qg5BYY9o9jFfCbKh+1cwwbkbP7GzPSlz5gG8l79er9ON8D5MQ2Q3Tixl0byg3B1pfn2B2LnAnrd3K9nCfrr8RGAt8es396S4H2VPmqJo2MFMZ11O6sCzID88JNoEjGmwxS1bxRWE/ghaMvpArwnBe2XA3ccExd7WY/KPFyybCSjYt4+EdsPaU8vTSRzK35mji4qnzxrjm8K8DRZlQ2arsehbcH3bkFXHTNH/kCGs8vhZoO+k9xWYSLMFIOpalZtao3bXGxBB805QfCsbHmUzmTOcF7c5qMa41PiHhZs2Rzy9gbyujm/fyrItUosRzEgozumcrCuLEqeZQ/abCR20mN57luP2wjwcjcA3gKfJB5lZCQse5D9tmTDYpszlddZShK2onZbToDf4R6FSTgBD5QFqFcvc1pXrejjTDmmIk7heX6qLnCp1UIGR8c0f/fM/L6MGr+RxG3MLMTAuyXAFcoh+PUQAz700g63ciydo6OmHJjNuSBPHrC7qdWQK1+SQc3l13aTislKfJmR6GBJeBdVOB+bNX4ya1pKMT+aCHiVwGG9ooD4MT5aoA94HMJ+5k3gverZekVVdxbEMp78iXXbVL1OEl9/VO6nWw66Y7CfqBtsskFPtaVb2FeXnOMJ+GxVw34Bjn9MBZkgH7WVu/Nrm8M+tJGyvMD0qTf+v5fn57Mc/3k54L/QiYeZx+tB+pDn78y9PE/W5wqYItLQfB/Yfah8AMYLDGtUhW3F7AQ0of6B737A/GKnkcY8aIEjk3spprdkjaOcfr48CWG921AU7Xoe4jtgIDoX2jJTwriz7agrR2xpW9o70AAx8EPPBaJQJGtgNwMBrnhwji6z6uHdUhqdgLOclLONGcQn8KS4sXHMffTyF00hTn7gbxr/103jY8pteKfC/mA2cBahfDNDHvYSBU1XNb13rG1pvHsx9lGk1sOGRyrLHWLqAW5SJG4KsU4jnLB+ChXHPnCW1xlsJzgqmpDzfNRr0iMzc/Ob2ztdu8Q1MwhNbz7wyjwf2z3T/RUwqS8ttFeBzaVYItmTSvYTzYP2p7LVBjvAqZzkLjuCS9DlVa/++hBV3/rlmt0zW+9l37iZsz2W/NPUwlZK4zjhzZLbwDiLdic69FOP8cqH6c3Ubpi6BsV3P6bXAhd8wePFEVr/ANaZvndNOnIx/UX/+6wdFmqCmEmygQA33D4F/C2y6u/c3DsEM+jk6Ts3fIQiv3LwJgnkidoXO2cTLnXmCIT2sC/HjG1BL/H/fLFQY5W8TaWvT/nXyx/7dj9aW9MDYmP/cDdzLhLHezZDrIXwjudw/sVH+rwBQqo3M9ciCbZXCfFz1lOVDAtvRvlkfkwbEWPQeUfgG37iA98r8NeZ7iCX715nlR9paOqgbEnWYOV8iqooniqOIXOThPTtIRniAfCvp31iESewgN+XoKUlfr47jUumpN/+pL56Ax4+EuBMJ7d9+73zHjh8xThPQvt/2HtbmxWtVPMn9TVTfXlXa3mnw3KCHKUTc7fRI4/2y4MHxkcSjbQHLSF6R0R439jyLe/nVAboWAp9PdmyK/vYqgtIugI4t5iAM+vNX65k3P2d2+MgnwbL3IRy4oFt+lxo4xPzHd1MLBvm75YKeJhcdyWnRJv7VykmO1vRTVFpPD6/RDR5CeTaOgwcwck38Hm76V/+87clM35WTstLqnPAF2DhcVrx2AJuhHNn4/7OeRy2WTNyyN32VJo6OgsfSrHMwLc/aA88xrl5ZoYGcaaEhNtIhktq7mAhHlG1tscX782j9thoXFQBaNlBS9DfBDvLd/J890zvF9ewT8MpTPRhkWzyFAeJF5X3ykIfwO9/0pB7NHh3Uv/zgV3joUZ03W9H0J8W74nIhu3rHGCSzuc1B51XsbnNkb4Zr8bE380UKYnD8p5zUgo/ucrAesp+i4wfngQmlfWHtR6VOe+VCt6hYtO1iT7tysWU2O3F9FEY/ya+ti9us/IOGKw5Iw+mPO8n44dM0nAO2ajsKkT73JmfgCdx5jYbwBtLmflWIz9SBzBvDZaSq/TMtA8ciBlPfR4A1zbn8m58OkeNOV966a87KKg71i0tKSiggj2acAFeQ9Jck1hpEgoxMx5pmeuDndPdDoOuqNzEK4u2o2M7SKYvwOePybqL0vACz9G4TOC8cTYmT2z48NcLQ6U1PSBexrqQD9hnBPQZkgGf6Mj7M1UO5IAB8kpYh7wiDnAIzh0ZStD0/UOgxngLyJpNo7SAt2rMMrtfc6E+mKsps1VVavbKX3cRWMBSrLvU5MnQ9DD12fDcwCfnvBzit0pI4wFjZpT4Zk0Uj4+/viF+XJy5MmfiCWiHtQ5nXtsxYzYGLdHiypkn4FsT/P8X9oalpVnmBhbgMlL64pScPJNgPhA/sRrOrGxQl//1Ew2mWy7dz//dr4j2y9wBiOAB+Vtesh77dSSfdCVW7qADt0hQDvwhdfmqj/oxvqsQN17dx1+NnrT0+wUD9kuIj9zRc6anb76qyngIVlH7vzOHOamY/mmsFpRl2wKeMOOZngpvk+kD6Mf550wBe20NPAu/dMrv/X2Ffs9KChmqKC8mkvLMKS3IRUwiNugTYy2WoHMEb2cztzvvH9ckajNQnldi/Tevsi6SR7WaObmgaYfHk4pJws9Azr69zhzyetgyySHyRrXhBjes1k8LEvJR3mCd3pqQkHIAjj3y6ewfPFKwDR6AYxeoaxz8kTi8JdEFNJ8yM/lyvmqH+tnm+IS9CxwbeMrrHPsojN8z0kkm4pFpnZ6sZlMbb3C/fCQifstW1ZaFErLbXQFnCTWzvgQCvfz+xIgz4FTm/KvIxnis/TYuRfMEXl1lnLvcbuwK/XncHUprKqp15zXC9Gm2C9HtF+7wTRjvRStOCcVBCpiauy0BvdhKW6YQl/uEmWONuGPjBPoWgfLnBeP8mlJpZl3OucXjmnHDTV5a706G94cItGBu40ikW9ApJ8lKJ2MzxGvzEJSfFJOzmd/OkXw0z+2lQZiBxs/SSFnKx1PCZS873mVWvEuELs7hfz0NPJhawP3XHceVDJ+WMOfjWtpmFjdBBkfQswnnnPF/a2NyXoF+IA9ej8/tG2iYQfZ8l4RzUYp3N+nkzJy2pStbju7FEyN+niGVJ8VuZYB7Qu9e+Qv4+b9NijiR0SfwDNJTZ6YlcFPMpmdT8O7Xs8JvQLMbX8Xt0cyBV/DvkgYO4PgFeGcoOuBePvkqHbYkNvDzsH2rv7bGdzuFtXhxUcDGJTR+mye3fCZ6Ks+geSHvi6YvH5AnrrDvv1TEnlUnMYf0VQOHT4CzwjOnSTB9S4hiaW3NrN23ytezCLyfcxefTA0idmNcgTL7q/tylk4MHvCCZVc6XOcsBlxonBwRBu/BeFx76f4dYifZmLVOOu5CHjixfgP/fXZzh4NOnk1NoS7HdgPc2fT4XY/uDnhfOwO/fcXGgEPuVFwCR2pPqb+LWS/zZCCoGTUSoJMruvuCPGALYa88QHemOVd2+aw0N/d9TwXvNxtNdfvjKd3ggSMci05ezGFMbXlE+n939E+IBVgv0BYdbyubOedOGlSJIId7bDQasCUijLt6b8682eOMDk8zN6ixVMX6fk3R51oL9d2YGHYOV2pZoK83D+bKG+jGBQv+xze4i1bJDjY2M1m5mrCpfUUacgx/ZOaeKJSmZ+veFESIHrnmFJKL2C+ZuuXO+0Lcdq/W+Ja4vG3YvKE9AYE7HRvKPNWhR2Px16yWO3WWPR/bnFi98W4xtfu+soO75P0quvjWBCongjkpEDfMYD/ttx88yFY6qkduYUSp6TOKA9wdbOB3TiUCW+r4G/77lVvbA4vQ6z7l57Q2jwa4IWicoemaK3bgnRemv7sHXuQtkJu+jvAJuR2LPEQfIuTHFO0KeO9jVfAqE62mNnqA9nDxqDLI46by841Eu4gPNuLB/OIAP+dQfScj5Njhcm8YP/He62qt+qMjH3hYfntY+bDI2pK7ZrhtgIN/1MPlScPtVPWmPl+ZGqIS9vkPBu6YfQEGWDHEpALwjDeA5v+rF709kkCfKhqnZ9MrYsH7HNuOMO+ohu1Ho2EvsjhXljwebd2VtqZEWAtGMjWzHiDPnGquTwnoHAY8IoX8mRWxBO5dVr2EGFFvTMsXn18S02MU9oDI8U70NuN0twG9FWUjWpqAx1Wg6FnwHHf9gw3xhUAsUvNzbiwUcBvR6akxvvXAn6qx36RFDHpDmX5Yl/XxSCz+6guIUoGfNf1cGexZGbRfCW0HrA3nxgGzlIQ1l6YiHp4T+Dk6An74jHkx4OVBhO8Papn56A+nctiT2Tw/+8yuggnXmrzlwLVE3776EM1czW/gfA8WgloL1PEcvHulLeHf4hVzUJmwv+F77pSrkjq62Fjor5q2H2fUONXYHqnxkBA4TICjZqvuMq3S2p5CNvAfiOgP4Td/5zb5gB0B+/TofLoyUoMKJOK0pSICzGP4g6CdY+rMypHb9chMP46pzbRL632VvHma3nsCeh/eMy8hcmtXkdpCt1zz08kmT9D0r3obkUawN4elwyIz/q7oHNjs3FsutflystvfezPW4yTrlJV0zbPsmEddnVbdwVSktVLEp8zZ2DL65505P1FrfvLn+4otZJjhDrDt9VkbwLsgD+ebAu1whPxMg9bU5n8RoXNa4AQ403fJY+Oh8FOZvWd6R3zyc7R33RkplomtyKxtLvbbtyQkH7VOLDqo73PUX6nfe8AZyetsuaa7QyaIzSMe4HBLakYWyOltLeY9ZsBxLLZpRuWUXX8nBZmYgHcUlI8adAHE+1I5JC45jtJga+UFl+dBniDHpfh3XjNgc/GH8w/OCaNmzlVgn8iwBYxTRT7wrzzAWHWBy4ZtW3IkANc8yJdLw6cL6Ky7ZFuHisU4KnqsUz9VwN+IaBHvL9eG7njW2wQiyztr/Zozcm/220M9eFNuK9hrzaNk3sF4Xyc02FShvR7dSVPOK/h8EBHwM0M7UJrAOra3xAFsh/eqxHxkgbfWNvlOqelxlknlc1xzMkAefN3dZKxj93y4LaCNj2exAHdCZl7UR1IkbhosuWD4wgp0qwV+AxyJsq+bJ9fY1OeUph6YD4klv96tNIK9H+qIitjUUlrJ17aXzMsra/uaaeIeLT6IiN2bbrfkAbFKht4w2/4ou7FObmxDfg9ZwUPjQZWsKKzym5eyOOH+P+P1ewFcC4CLrgSSluGfudZSjKhtxM1JA2nl42se/cyYboHta1c5S5bb03wepg/IsrjuMckdaR/X0qnyOcvNvbn/zyF9azzqnHy/NZO3tKTwxij+Tnw18ZCYOwmcu43dUPVRO3KkCL36HVrSz2+Mcg/b7Qex2ixxd7f6uf0+We/uyZ0+EoQOeAUO1vMlR9MqOwzPGxfY3znc4c8k3GxgzyNhZjI8Z0mCtmgGdMS9VzUD5EatXzoF9i1/Y4g9jrB3jq7qjquCXIKi3/vjgdgnc8bh6lPpeDvFDReH7xxOohLelRe6qoDskpBYjb48zRRx0FS2dNCSwFuqKM8Vml54OJxDkCUdOoK+x8YbNBEQIz7oawdiwXi8FeTOeLCKcfoALBF12Fa1sHv4GdAUBw+06wp66MQ1fuTBVFEB3MlVLgsyD3Io5v7L2/nmkmAa0tDbQ0zMwNGO5r4e8Br2BoL435qq6E74qgWewIDvbdQKiqbTu2yQJeVthJ9zCujhgNZc82Fr5j8/xTB9427X/fqxrcmrnm0hA3qaPtM8aNn567ZkBeEp6C7qHiweNXeGevfo2PfGmqZEm5qLmwfaZDkPm3sezMs5324gnhwFWJtwiBWhL5WPv1Mf9L5t5of++aayow1/o2857ePqaOle8Z2WWj/PPC5UgGhp2TlofUQtdTAzzIHfkqP16XCxtWgvPdB5p4bqrmaeJpEm+aohn9njud++sWCzUE1etT15xS9ew2UOuuFZj+0hoy0mAdnhfrs2un9mwyfsXVCiYeYwvuu54LQJ0TNz26ECrDkjXkIO1Lk23PxxxX7g1GPg5i4fcI8Dbtl/2Jtp9IUD+AWhema8CCDDMD6Z89w2s5Y7cFQ/CbarcvkqQm8DGgH4Fg9rwKyGJ44UywOy7FD3G+eMQMMA5pk+q6rAeUU1YPZfL2eQgT7+nUESAp+NpJnnY+av2U2fWNmo7dK9bE4Wcc3cXhbYbxQ0eGMtQSZmSvv2lA8yMbWz+fC5oWI2/nvGu+8uWJsb/yTTU/K64xA9z4+OavNIZ6CLzcCeC3fmS1nAyvlop6zbHUdtwMS2oys+MPi3xrKTZsVPamrXQMOA5kgIwwz7n5tsbe6A3x3oolPiE6Ty+YWHuhSQc7mWjbD9Otr9zpYtn/MXFfaXoPoLfm/PRcslrHNm/fpm5TxST/bcDsn6z1MDvgDX2ldc30292cmJL8DnPk4OmpJIxsBhk1dfAKyr8fn6MHUaKd918LOY2NMzYcohIw6aQb7RAGFpyZi4iMBehlcKXOBri2sXEp+p9GPAG/zMVivvcIgSMvZ349kDYHsBrvLSDh5g0NvLEwP2GavZ0nN3GtPo30r15PPeflYI+I6YRO4egM/gqaHB3fiHlAO26iBwyDC1OAxcFUyJQvF4cnkMuOJA7ojNjJPXOQC3Jrsc3s1AjxVyvJUazxj/3wY40Ffe4eiMdmFm2SJ3IDeFhJyD1qsi+aMocF+nddN8xk24PdVCftchjzOhR/PeYR3YGTQOFZ/P1xqCBtrhoL1mLjdzcELgPT4bIHjGXQ9rw+v89hAoe5JeXoDDnBjCN6qBs46IMmbPZj4B6+cb53puIjTVwfxIWCvzMGbm/oOsOnjx+bxTR9EDH6VqKvVlKU1NW68rhXa0DoEVFFMh2HKonXk5rkTkI9bV0Gpp6V3lxIj5rUWEAkEI+B/MgluA1fn2rQo+70k4DfTrNYPmZs7IQKlmd+MtfIL8dXIJ6CSywbDPVC/NzLa2to1XKSgO2F8ScLl0Hmu58rwJNoAouzdTtwv7/CcN0dvJsiwZcVcU3MGcHOruNcP6t8bMrh1m9i+Gd341HgHEzKMTJisuBLjNl+SH68kGfdF9Lvzr3SP64EG+94nLnKSfKuAmprbnXnY6xVT9QFiCtt7+/P6dNXvlyg/FtoCZhyvscayGBTjNVJ7seDDeb4l7uAKHCYgPGve/eV6ARkB1mW0bj2Tggg7Ot194xfeMKcCJFgNfAB3z+cxstM/ZYuauvHQKaJdkwwfewt9+krW1ctFeCOSPmuOvBP4opsGaOHaIB/5oWDwyJo2XYgi843kepaidADT0Yvo/A14c7pXL7jxCooLfYN3up9m/v85S7mae7Mne7Ym/s6t1x87jZLwZZhVkLvASwDzsSs3N2Z/139xH5AOnrQjHd+ASNHfwT6MnnH/dHhVVGzL+u1aoPTYBYYnYIhLYr55ikfEWSbG1CWpBi0kbJLgFjNtKNC8zTViuZQAY69IelZXgmyzftrL7vPMinlMz0wkwDPRSlPd6TxGwTMrvoBHx0eW3owO8hKLXuWgCmPCgA1pMTx5IeOBAuIL3fgTttaYBR0kwraRfMGe3DR/RKUUTYKpMynU3Smem2QC6dD9vcubtOARFycigLLvkPTF9gBvMrFcd0QjMY6bB9A1YtDl3vUe6nZmrtBA+iXo0dcI8k4NcpQYOYesNseN9zhs7txZzN2zLoU25g96yQnJqZvr124PpPFaB92bqiEmA9Qs3YE8hQv/dgbMgau+u1JmGs+YdcLkqy2e77i9L1qNBBNycP/tpsZsyyGkZ44cqOFyBh7I8NF5QEBuW9jK23HCo7y/PhYbyV03FkLlIZG7gNj0yZ9Zh7SxIOh7BmtByiL9Zxz/qlQw8ao/5QHpig/YI4qMMZFhbzQYjM4ciWcio7xDnMQ9AX3Z6gP/tqi52pP+qx54fdWDq1HiUMX0C7Ws8gFeI9JH0eFb59oMKYvwg/rsfQbBGSLmljo3fQ9sUCAFHhvyJBg7pCvKCbTx1gbdBTMisdkuXdH8+gW/AhYuGHh442Iozm7QIUJd1OwF748AdUgCHiYCrduK/uZzPytUR73FFgtnwKJEIHsF31MTGQc7kBdaAgd4wMzBBL7ca9syLzxMc8q8M+Li05m9lvd9V0f6crO0uR/+emZmVFh7uiVOaGm6LINmfI9j5SFmVrd8gSwLOtIZXB6DRBry2b6fn3P3OAYLfIUN5b8LXnKwbcCPgDSEu02hipgfTeHkLn9uguQbYuydT18j27/A7m2fO9V59bUfQKC4JlyvzE+DVhw3otVn5yd30PCZak/NwuBOdmdnP6Oi8arEgDh3PAWwvTra2WMgNx9tAjhoqx3ZLK14aNo25hf2yJwMNFnoulEMj01PMMYlAQ0ftW7liXP7OfG0veacDRnfGyyD+7VWJ2hdn61PautWquaJ8Vrq5NqGygf8emy4+QI7whUataWZjNO7P4cWcybm5E4DO4+JMjW/tAjweeCLbdomdPKpA7yBXQP7rN8ZfiBXt68x8rVYE75WntTWt3AnWs9hs5N68u6Ug4mLm8ZbkCRgd6jFfy2fjN24j1CIEumbA2GnP+3IATW6B3uqQ32jZVvq350NLn0fGg/pVi3W0ifH+cGA/EkF3JeSGUwVcnpp7g15NVMgJ8iUCHXLJHcgVGnE8qAMf+VX2xGdC+8Dpc+C0UVNIDH8/ZhY8ByBVAtFU6mT5i0PAgNT0Y+wNV4wzFixxXkwQT8CVLfsrLfgReEELmlNgp21Bc38xeH743nHO40AMCwZNcsjD2/3c7R640y4eSFz76gl/Y1CU/c3KJKH3wUf5VO5uyIu4hb9XEvdyzcQyyWHL4N9W7KAb6ANLWq0Dz3LKV+nB3j6QSDoQu15tZm6Hn/c8+tzIfjuXonSk6SnxW0/qP9+eqAK9LYLYOgKvlMz7SNz2q+bTAlhh5pOsLDCx/7gCR/+QoOHgM+fEbgc5wjOJxANsGeD7YIZ2HUcN5AJSpb4+lnbr5MP7k6478eLzx1Wi87irFN2BduUPyOHD75lyqEtGJWPWnAumwipUQoZyMLOYQH+au4m07vFq7ibOFNi9+3mt+yUl/eejHBaIoGBNUfCoWPvSsE6DyJPCCrMoHvJoss6dMn2Lpq/3wLtgAxrgG3QREoWsIK+0FSJfGPTsyWCMhU8lcMHKmkgp5tu5x5I4DPi1df1dOW6w86+Gc6H9FJQdnnAU09ppHxgR4K/2NQnUhY1orBx1TaLExr5a8dDm2N1J+P2xcZaRhnZbdcR4bu/+4zzLKDXa0F6HFfBQ0J5DOb76l2/mLP+YM1QAx8RNALjdT3nWKbcuJiHYwylHec/ExMp+KjOB5nzdLbmI+3yFdw/vVoxkIqAXgPueasSXykeXynp3M1vmuYvN3LDiVZta+cxOIBcnLP5qhKmPwkYpdMyKU9hTeUZViYd4BF4WVFr/NJyYOXUQR6Wb0PinXttM9fZPPsyemfeVWYAX1tYnYZwkzjKAVnqtocPH6UMWps8I0Tyc0uParrWPTmcuQ9KRlvRbAfiJ89D4ZyFxHj7dVGhPaBKLDjBkMHMmmjt2JGg4/XNysM1s9Mb7/nnez8D3/m+uNOlji9nxnTqgFQO8If0cc1c980H7mTPvzaxWIuwJgz7NXZLwol2ooyLJHh7hHFAq29SF1tg2daiLjwPsAdcDjENr7ZKLYH89+2PV430y3LzGlgeCdk/Wx8L06ImgXCqkQSXFm8a+LApYEOy5vBELcAsvPAecVYF3AsyaKptPrNAFN55CwXKVhbTPoamftOG/sT9NdGYzyk3fu6VsMeiy5szJfe2f+S7Ph5ZIhAw/oorqlPcKMJY8QJdbathczflHHbUlF82GiMfj925tQEfCsmf1NHXV8bdy//i8m/jxcg5RQQceiwI0DsWiLHZlPmpeubwEfN+VfHr81pIPeoX9Fone9oErxqVo78ySa9LJqrSWG3V3InN0eaY8z2HPNaDtFJIv7L1xa96cmfeTMHwSHckIJUuNYI+OU2/8lJLAetaR/mAaA8/f5tKxHdMLK8z5BddH2OenZNSwar++/elZS8rEAtwLJ/koD2dBXvdfPzWPvdLdHUm4WROLmfmYP7hni4oa4AxkObPbFTiI8dAumNMGkLsx8XlI2XSrf33IL4Cbu8XMi0yG7czH9nCGVFrB74uAbYDDvNbQrnqNCQqWs09WBr/fmDmMfQtafYLvN/0ktNU84mNuEx/WZiCOfMus6UZFezO9Jk3fPBrLDpSpwxQqNz6doA03EHMIdGwMGPaquTUz12wO2l5E6Fj2yzODb0M5wcCP9HnECS1kcqbIrL2kfnCljKSAKcCLTd0ke1LTm7rGaakVMJF5Zqs+Qj4UZh5wDjjFqH6db9yP7u6tZnyfucCW7bgXmnlZ0e54MAnI50IibdPQS7CeUhWRu6lbIaKBWAWcgT2fmLk6g12yMB5Ktwdt116SYRKwvy68lxrw/PVZHvXNXbnnNSPETpFtYL8+QUcu2cA7xeRNWuSQRHpMhve12s8RzbdZbeHF9Joppw25bo/AuSlzlnsasoU4Huya1lIMaeONb3TF630xi1PK2JNHeC97tTauqfVsRxXqiITbGPboo3JjSQo5Ehc9arZtyYgixuOOFtPMHMgVgZkJon843zFT61a7/IT77SiYBq6PXueHP/m4ewAlsLA7OZBb93jUa9O3wRH4htGZzNoK5pIPbBmfJFwJqvfN1xbWjixJqGmpgX+NvOPMSxILPcsR9EzAn4mbuGfavpn5Oq97IjOfC76Lh7/ezTMnZha4gu8H+6vNCwS5z6ZHG3RlIKXytZVSmeBOLcBnOiGAc5izyQDya6jnWgTPNIyjc1TCs1/ulGEmA+9VY+bUHS8bxD/yKHiooN3RnlxUpOD5yE9pzbHsGi+xvE25EpsEkFtcYryqHomYLhDnpOrnCrPF9O/ZDF3shMpdafUOcNq1ifpnyXevuuV9JtRerWim0dRXFrJBmx+kjTLVZWvlcCstWs944VYQG+fu34OL/81Wh3VWfvydCTPbCd4L+lzPPL4cV1LVjnYkj1N4buB/+tX/NZyNPztvh6O1eSTWtszd2Et81B/d6Wp6VjlHZubJCVNQZZDf6lFlFAi2cuNRBonDdHZXX6BBWGvOfndVgE5Sq5mEzC2dOMiRfuUvSvN55trcne3eZL+xTR8+t+SjFNsbHiXC4YIgphxzzlyF24n2akND9CYGTLDAXe5Yi+zxEYvp1wIr6wDjLZ4wgS/MwTvgD6+6L3RyWycZ8UNyvMhVXQ0fV/kcyMH4SkyHs0YVcNkvwFOZabUmYbAoBtwuxBIPywX2cco0kqAzv4jW33RVNmiWE2ZtRIdJJqF67a83GTC7MtgQtD+Q1+/1iNvU1LW5ZGYcrRyRjgHHxxa+Qe7tq6G906i90IAcgROXbCBu5TcbGbUuxLdIRX9ntvE62RnfvCd+bl99bRvKEeSsXUr+m8eOFeyzpLdA28njuePXykmc3PSE2PxWB3MB/GkBbmgc3mzQmhvpvN+Ndwhg8EaY2l3a36WtgRVuL7iQpXLbl4bVylIFCfUhZZv70cnuZ7GsxN89Eo5pxphTign45jJQZ3mc2fbBC9Kd/bY9h9ZaBVs/zW9LanwD+8k3c3pqezoJHz1IsHlQ3VtM/M3yO2EEnMS8h0KXPOQSW+2dC+uZ6PattuNdEl08YHCblBNCxmwt3eCKwzhX++3EGAYsDB5S64MKprAqSEE05CY+mbbpDwlasOn+fIm/k2h3qQT/gbxFTa0yFnZVcxUmA3kITo4JZPsEMASP8QP47BG06a107LeyAN3DDw/ec9AfOylM/VfR2BALkfB3VBTaUaDDzT3V63vVw3aUoJcglnpTd8dN3nO5U5s7+WD+ISzeEy73jTU/4XtcZLj4VbCUuaU/gOt81058IyJ7NIIPGHKtGFsh+m0rosnMxdxkHL/Oo4R0sZmRajydIUfY5r5jSNZd1bjqo+y9OQ09+B5bRpAWxstefG0zwHfQJf3m3NsB4PVbGv3ee0RnpDe1zyvjeVR3u40K8Gj8xl77iwl0gLwEerT1Ofp84IgvgK1T7gCedmQnOixN35oM41vetaeyxx5w2TfggJX6XWPtpWx7gdi/n8fSboaDR1f8U0coOYdtaby8XzXt5W8fz+1Ra9xyjT9yqoKU70gSvD9+faT63jszy6IRulLr08FmxoONIVPqgg3zJWfAsX11SiKCeQgxKHB2HlVPhOmja02d5P9m68z+OVRdHsxtYpRFaK+wZlfAHgvUG6uDbQU5MCJB4zLgvjXd3bGLMdNqB5oHOOj22RRqI3ULPOMT1mbbKarMbZmpjTX9xMX/x21a4BoyGzZLKmRhzoobP+5hDfRZsLuMuADGwll0uVdjsnDEZ9G1x9oGLGOEKYj3euWnBrI56MeTGDlV7r+FWXafgHqvI37Nij8f6VPmthre0Xfdg7YGao5p65lZWXQ01Sae8abayHzbK2Z6zGfEeQ+4MzPQDffK1Br3npnrDHG69bKBuSd71/7WZQaNJYoD6Pm/+qgMw2+Vg9yREJ6/l3vqyidBkFft6QpfeWzQ9A0Z5Fa5KCg5Scm6y0Cfp6z3OKHts+mThXVxmgN2ZIO6nY3P8mDqVMhV5HNm9On/PovnVqybL/jM5/antuKs1NyuLOvKOvXRhPZXsp8LSVVbOTPNe9vDSB1z3QP+Ig+vfDLz4o5WPJamh9zpjSuDR8LDmgnQI1TdRSdf5/McO5BPi08zrzg+Pbcz22/dfP9uGc6NVwlxdLifrN47OpsrGcmJD3GmhE2BZ1tyQFa18l0TWs65317SsM3MXK5kVYWpzRW+0tThr/kO/W+PZIAw6KxRUl5J0X5AHGxoJBHZzy28k4xrnvNeR6zXkFMn0/uwElDq5XO7/63BAEwnPv4B/gDbNe6B1Try62bWoJTh30xk4CDGGwt0nsHlwQPY+OU2X8Btnua5VRcz7Lea+Y2ZNw17OvlvJgP9vLNoMrN0KjXKDwn/btaC5duRu+WztD9X5u7Suvv352GCe71I57ZCPvpJdBxVLn7DlE9lIQFTtiGxlqQO+0fl3B7GK/bcKVzS8gqcx/7l+/buG0emTwkfWIg18MKVofKRu+iC4fs29udLw0aNrdpztAt5EAvIcy6nv+fzD8K8hxqWpRRc52ICHZbdmQ/f0/SGu/xLOiSpovbK+4kC9iQqSDzQp1ds6pKGC+S26c5XVJnZ2S8NmwxtkZrZJb3xIAbqB5hl9C/sH8h9vBXD9iuPLg/OLy5gU8Ws2cGRIplNRE2xWxrv9d54ggZPqj/vtW43GW1vwM1EPhqPZ/K644hA03vEstfc4reGeV3dK8GFHREdz8CbnYTLMLMMp0WV6ePgtvyd6VwFBBvPubOOzalycWZLfAb9T20ZARZZTb+9g94nrE9enO0jKbgDOoPDMz8VyIyEM1f4wNb2W4tScqgGvT+LzVL1qKJisyoRG48TUw8yN2zORFQ+02A7VcPFy9fEZlR+UATLDisHnAnW6K/m1q/cnZXbKoL8d6jC2YK8ezT9f5WvjbuQ8T25SFu5oInfTmvrnjs9JV1j5ftZE3e3Bx7iMmZTRoONcvWbfG7bM2or4PnXKng4Jzt+3ZvPFegyoacWduYk7dLUPxWw3837e4LWn0UUeNXIPxIfYpz+59cGe2Gvwt6BHOpBXg4VjWfQUcjUbDemVwPxKXNwcA5kmncvLx3gxprfkq5/Gm9iPE4ceG2V2+2FUznhTsZV39xZsaOZ9emyAmKR6QfkXVaOZrKamVkhk8aZsrq3c+bGoPNmM3dJ5CvPaMcF7P3X2Zfx+IF10iMdeZg7s1UVOhE9Oeb99AD9fU39OMfW9g78pef9IhIHciFvKbXVhYSfj9qNM9k/HGCs97rnCWiRKllLKzHTi37rjf585645Az1qzYQX3PhqsTRqv83sVTLYuAmUSCAH1r93HUjWw8PmtjqdQ54QV7agE6MmkMbjljQUMUCmmRWT6X/ZMDYnPGqHJnzFPOR+0RiOOZz7xU8j+ctZeDDfOI2tijXuySWoXkGzuroEjpRAvDBGS6cePo2P3XC0Jy/vl/s5n49NsPXUqt2Mkp/GhQfv/jl5EP/VzuVCAX+JZ7oG62mVfv31btd+cs+//lfXVUD+XBUG7XnLHNDng7Iz1gN+QD5zyNX0ssB6lKC/nnI8LA3EI+Sn/gR6P6HJWq/4pb/6qlC7X7+v0HtUzMON399Thg8nd/o6AZqmxef1+LytoFkriHlfwN5SYjvIYpflztInYWvumfY45PPR4m9p/m7nz3eXjuXdzOQCfH7tL1DQ04+kPcR1f8fASzLjzSyAD6yIEwvdpaMw4ELEGCrwSMy5PM2F93GGvHPWu7eq71dK26yi5tyXD3nHF4X0AtweMWfixkPtdQ8LGBuwQhmPdtAq5qxrs8po6lS0kyognXIONug+vxbqJu3Pp9jPveIy4aHxdwWGHFwWGTb3huqYuehpHJuFsFzALMNZb1jo12f91MZHmOurtPAetExErMNG9tNGGV9AfnDSfIu48cqKFBNsGpshcGuEFxyhPOm0qdm7l9b7kw34x8xFoeICWtALEp08uKUtBfn6f59lnSlo3A4Bv8OPqm87avrtHOM97/UquixnFt/5890zc5zlMH3QAbSsboy/7FvKHk/pS5vk80XQHYUYz2EfXHPIdaB9FxraeQJc53U+b+bf5SG6g2b36iGWoGFBH3ugK5M7cB2LjNM+9dVgPKZVR07V17ubDMkGh8Z/1x5OFjqo7tPj4cVL7N2jCdsdXVFXBVono3QkjV+4ca+DFnisNCzfU7YamF+uua/eqPvbk09rXw+5iU3h9amYChmR1MyUZ0we6n6zws9oEgEmRfjQOFvQ7QfAb+sOax+IkGtq2a+aQNIwSGZ+A/xGz0ZLn57GQwqQ8Gu7ObqlCzrvgfUuoN2uJAy0bECCnEperjo4j/L3XJVY5GE8dCuu0tR4V63K+FldVJgt5/BvDvjh6Mj/PD2pMp6eVerjpxB2AnzPBoyldNj2xJqxGJYeF2qWvK0AM99ocfnvrpQD3/jPt4fjwfSd40yOUoLWtsvBetJgep3b+CnkCti3hpuAhJdJrdXtaH1uqFYTaGcmGSlyyxOJ4RxRtilBxWbjdDv7ZPz1MxnVIQ+9MRPvV+nHVV3gDTOzZd3Y9AQfyu7P92AG7m/mCR6BXx+NazePgpUgcs2Bi9OQPHPLWmWvnpA7fkqxfBNXmwmBFu9bLPV0Yj7JSIA8wNyBu71d8cBWRTspaxtJMS2in191eqApEKrZ/CidjVXt3wELyApxgLBQNOOTqMLlZGYlNiHwAjfu+ah/ILefGIIYK5TD9LRXWlc18BDSbw1GPiB2xtxpIXmg7zSUr7ovR4r5UovEhTe6q4W1VIjMiekxE+gNhy3BPTa1ljbwWTMXORcRv9Q2ySq/uWfm7j7Sd/rcBtKeHnLoPdKzK+gPEOtmFs7yRbvyxUVnbs7JuGYl8A5grlYVYOBPC88Hyclw2zQR8crB9N+pTJjZeEIOmMpChHKlUWBmFX/Xq8S/c+uGi0t99WSOyTmXRfjyeu7I67Mo7uMOc/TMw4XUIU8bKr1cq49q4BdeBDbrb0vC8UkATzkXym7MLO6Ix9mKjAdPDjxv36z6J0V8xF0L+XD+yoZy0+jf2YvHZkR/tSJnBpopIDvKFtwY/0FKWKX5V9nFQx5mRo961AGdHSxP0TdWZRNzpHdivcpqrjaCy5uyeZKPn0smFk/0mVWHZl4JAS2685rhVcN5Aw4AvJ0bQkn20kdJQ8ncWJsHKYB79rdn1klxciAyHeQp4O2U4rQcMCFufMKj4doK1dFOi8DukmBCtTMjgcpF+vyQU67r8U+nTLnD30BrEObEe9ARkO85KiEGgC8uabF7y/QFcD/bSCd2EsuDGOhX0JN3iJGJufyHmDkCkRqrCJ5zlcdEZObcXMKz62QA3pxvX2fL37WpiwqXXjq4JZ1+ViEGbrVcAB8WodGJ9PiZcPJVWmjBDvbNWXTpApcqSjPDdTLeLY3DD+p35oc2HKc4gl7H4dbsEivpDq97oioZ8JH7O5cJeP5gOmb9w3i80sTslE51jY1Mj2sC7+d3dnAeGC/mVjCEjLa4HJ3eyvrWeHiFis15BooNdzFgPzxjB5i0Nq81/J27Xtq7n9LmBe4g2/NgrSOEmgF+dsVd7v+7N0gB3quEimU+c66rDjhPFGwgDqMk/PXRPUAsbCqXhI0gjmB6z2F/cLeFnRm/vhfkmSkATTbzHrSP07ii+LcK4NeiVyfTx8FWlAP/Bv60Xer8fQHeu6ttdOE8bnMz12WVN1bExqvkVhaEA+8QZxFcG8fMDZQi4X+818wPW47Ww2bBFvSI7eCn8To4WEenvUvWRqzb9UKrfW3uToT3VoqbXXXtB+zlvamzE1oz4CwnEsUeN/NwR0RrpB8EPsf0DeEx/vOpqCEfNUNy55H+AG1uw++Azo9T41tGIMcCj/FqDvjlth8kVDFQhkA95zcxgm7m8bMcmc17fjv3210a6NHc6TYj8GXQoITKnjqveoDZ9NRMajg49XO71o5iFZtusoC4Nj6kQhfExS3vY0+G7SWxGk8FWgI2PARqI1oo4JL2lwynfR22Ze7uSG615OSYGSeEAaeL1f95cafU9LsGgDdUaaI/HexMNnHsg0T6yhExutOvHPhVQQhdd/DyVAH66kh17yTBNuAR2RHeniqNNQEuTJAUmakJMJ5NaFfy7m8OuAc6weDd3dRbU4hRNdiXVCzPfJjd1PQ6dIrVvRdDHJTJSL7EyPesiz3gbX1Cd/A+1YJpY+O1MT34FWAWMx4pZz+mpdVqOeiXN0vSiLiURbwD/TNkNHAo/9zkxe6e21zQUXcNn46APUPlxk8FuV0Ev15+pq/jzmA/4hzSVISGkxtszL8Jv20rzhnE25102Z1q+eLz9nkwfnrLBjTWa77aA3baXdJghVh78gE9BY0HFno21//uoEkzarffytJHMTw2ErjH+WubAKXZnGycYgcdCOxZyPUeZ+0mGbMXPxSwV3AVStDLtl/76Jv13oGFdloLfm+GT4tbLeR0bk6Ynoo2pnYoIPvtTxVk68nSv3Viim2N7y3gOgdE2yaM4o6Fs8SUL3kUv7xMo3o4XGknp0QThPm/hYXTI4d9YeYFZCyGPTmbWdxrwuQH4EJw7j0BuuiYjf/uFXwfzsgJ0MNOiyknXC8NxCIf+XBGzcpD/agc9sINC/LWhC3Fa/ZYEjF3da9pAvoJuLLImbk31g5m23uNQFeH+EegwKJutla0PXGGvniBSDUADxnspHZsRNgyHlfsVVqJvI93xP37rBE0QU+D8llH2UOFGw8PwKkpvieCYO54BRX6TYmJmVpoAOEKdOQPt8pFjMrUpMSmVzHRyuMuMPDezM2cIty/3xXojwbtjJ569bV9EF99Q2wmtMuu8B13xnOrsvQC/PLY9IEHGL/krtynAT6BFnnDdnM1PsZJ0TzTKP6Rq07Z1zYAvnNP7ARyV7k5h+UdNMn/ZoD+eaa9nf3ymtJmVT3XCWhf5hBGHNAhAwIVocqGq/Bk2XYzzNbJng5Heyf5mtxJP3unVU+5sI+Z87851B12VG/39eB9Q+zcq/3W4f30ypWnzFYxBy0qfBTmI6fmDjClsUcD2+S1JRtQqcxMvoB8SDOXylpMD1lKOUFnhJ6pwHvTs88HD3QQ7+CZupNTAsckB+njaxKhF8c2tXHwDHZWBWQo7ThmPN4TtjXz0+6AVxzWD/a0TIDvbbiAtR05cPTEMnmYFC0ptWzPoexTRjAV6sqF+m+OWLG7JkMcZeNffdSbmbNFrOAK/3vJQNvWobZKU2cBubKimWvqcWSBgabgUobYlSgBvLAPqdhOJAi8ih8MP9pDPCalc7Mxv2wgV/SQP82cy4RY21dsMDlmD1jfC+t7RwBXIONvX+nxLECbMeNBt3sCf8C1zrx8xJCDpKiRHBs7vqVCHnCRPEutEh7tvglTlyRkdoM+r0J8uqJD93O4XP7wkLZRDtyvtPXc9JLw3r4Cl5jJiA/1ONnYR3c89Bszl8L00dWWhjhXPmYyyYAxNKJ5QA69ZIP64T4+KKraxlcIs5upnD9y2CMvboOdh/FHPvHwZtP/9fkyZPquccGCtsuM5uGInUN+PIc4aRw54gDvCQoe1MwaofGmHIw/HLYqFwPvXSbjmXiGnGH+XuK3r3vYDJ4lBdx1GzdxqTv9kOjTJgXpE4ZBwJlzT/LALrNrrqPM3E0xeTE+MsRS+yQklQgOVs3UJrGIlfimLpALvsIe7zWpwvkDi5eHyRwrN75DzouA71whd1/KVblJH3/jVduJM7k54wHo1lsa6kOyqkPST1+/dT/BpCVTJzlC/nFsCs8D32nzSIr+1/vF+FUy62BTt3zhPK11az4rbLgeFQMUH3j0ez/FMGA4vsH+7wXgvPEboc6WJiuzcxbvgXf2oFvdVMR7GdpvWdHKxm4LU+uYc5zXVnZnX3ORIv3S5qcG9oyy4OfNnVWkvkhxsPOCYFNnAO/HoWIKzV2SmfVVheqrpvID4nsmlK0QL7AGpSMpdsQoD5V7eWIH+KE5N+uAKwzIAlx58Q10tNu4DqwNdrWHXbQ0DJmZB0fQR+7Z1MFw7mR2y4Cv2GowtYJqU1vbay7iSxpArtTBVa58X7v4mdOdiwf7G7Dpu1n/Wf+PqW/bblVXtv0lLiYtfowDAmMjgtAF9AbILRgEJjaxMV9/SpnL4+yH0daeY2cEkKp69S7VJfW5Ptr/5iEu3A1crHEkNAnyfAYdz/+rA2VtCapuZGP8VTreJV9bh8B/Zz3yWd+uKtymFGwnt2RQ+ftNbukz9tsD/O6g4rFOopYQX+pmbF/3Dos0NZB+8qRrfMhXtFSOl5wAb2sbJJmYjtLenbmp6Qma52lkD9nHfZ3PpnewAI5qaiA1aJbzqdjx/+XmUxrtusTZOgIlDlv/9ZzpTh26KuE5YrCuSdg6HMnE1Anm/q5k7LYIhg9CT4OZvSD9dlPaH0tG45jbsZ9Y8ROzzaMpTJ8i637iLauc0vQM/2KIH2sE2nnwXjlmQ+Mg0JCmn+MMWDWP5UhsaesQU51UFvop861dDrrICvwF3GWuQ2n06S/svYa4yusu5mCrnQLuDLyY/NdPsd8cn/Ovom0P2uZ1Rz/WBXZAe+7g91+rHviD8LC0VSTNzCV3NzfrbhbdN0QJ8te35/DcOgbrG5q40swEf76vLHjfHFf0xqMM4jNz6fj9wLoNQfsRrNG/meMnjRjEBuDqni17b2DAkrJOvQEGXBXYfB7qvHYQqtDfLLhcDjHwquaR8N1a8SnngLdmrrfSFzcPJACJmRngFZzGFx56b030r+93l9A4qsLtWRTyN/HVygeNT+PFhdj1eVx7hwje/c1ZtwnEXpOXb+Y8bTPlyEqNH8B7FtMP7iLHj+Wk26880suJAccbTd9FGzfh/G/W8+n87lHghJWZo13wTRW0T2qDOgnjKwZDMjPigV8mRxsC2HC7N3S3NNH+TlaFlWX7pp+jCuIH2GPG2HThZg66UL/As1hVtLDP06vGB2dC79UK3wu2Tos4BBz/zXrgqBwFgIUT78m5ckyOQ7tmXXs9od0ANrcw691uVrQH3VJhy4zII9c6AFYPMQOwMzHzdwAHfPDQ151UVCEJr6I+RS/NHIQb8Boz68vlgPy5iwNRlAYXJ8K4bArNKWIWCxLgbDGvLTtlVjwZricinGHalqBR79JprMR6rDhAPRfylY/9yKgMTohkqmudBnQeYFZnelSXjplJqzOIYQg0GyFrf6chaBShfPL5/mj4bqYFKYFX2Qo0cY52vxUrl8Scv/NpBg18pmhK2Of2xbF/j65i5bhfsW369RMCNqKrgN0B24OGkZQ5ywX8SeZD654ivleOmWehghMlc2VygqP2kkYyAX3KVe/RDHwcOPNXFZn5sXIUjL/8S9djBpEQEwbqwMzMPaFsw0OSgt5lHLQN56YSCdMq3wJyzSTrgWsF3gDxv2+EFE1BwnrVkbTbJeXkyTVo5WFrZrl6aSF74AavPAdfmntYjaus558Zmy8STaDL47Ry+a8a3h1F5Q/80XKUTxzsF6NrD6YH8cgJaJiHmXEKPHwnAvgOO1nl8A5aiqdZQeaEbVPO29dZZU9HsjH2BWuD4Sd/MsAsalmgVbi5M7NKzRYytKbGpzoAemALb5pOi0bwA+5byYYJCWHmmdkEdEZWAr6Wq/ndfGj6iyc1evFeAtjbnVhslbbaZ+7H08yGhneeqZVsaChNTeZQae1zqiozs5xQ9MhclTWc/DYO+FS/zcvenrEPwZhtzDybkLmoOAlMgZu/mZnbL13ZjLtjY0uTU73Ug9Ksk20TgsbX8RU4Ea85fuNOvGDTbxOwHnghcOW/fPkvMqoI+EBUr+2erbtLboG+ivBKUbKoMD4yNJ3J+s+/nuY5wBOqxkbA+VqWgO0r01M2n52mKx3AJwtIb0kHFfEV5X91iNb7NXH5W73+d34hCo3ge1JTL636+HJ0eXp8buOUAWf73L69zgGOa3MFzvQF+o4Aj4f4I4EHBvfEak1upSQje5665klQzPCaXQXtLdyVz+Q5p3jFTmruJMDeAG+9zGEOxOHz/+7TRumC3fHXPI6bRwEPqw501aip7D7MjJ6N+NyaPLgHxCDH3LPhXl8b+PumMLnWj4WamtGuJcBnnKPFj+Cvv7kGrTnoyUwOM3PGG/Sx4dZ0kH3z6i8aHS3vwoeF/vUhC2wB+uZNBKB7+9vfXVqpOeguBZrK2OH+eTL1tCYvEHhHDn5LncdDijmFWN0fHcmAO51zfVnoutvkbPoBDH7lpZRgz9bpE3RC1IAO9y74fLum4C+1jz6Tv1703mp6Q3A/cOuIRDRYQGeCNkUX29Sy5NTM3VE3bstb2ff2Efylph9/8xO56cPR6X/1X6kv+6rXHqW7lCFQDB0GPXfZJC5iAuxQOnuLCbICn7lBjH6jwIupBp3r7r44AzuD+G3iR2k4jwu46CK/GdSYAKbnqP0suX7dmz+Ixp8QO3Y8QKD71ZGF6p71eAS7Qk0Yn3NrfmB7GvPe2xAfkMtCRxEh4Ax8yJwlBg63MKEvOJSO6sydWItAUz7xSrLKxhvlvnB+3tXOjPP+YRGmKXfRUYG+kg66UuACvLeAU+xapdsBfNXJLFKmiDxyh9vUQr8QM24cYj8PcXwy92E2aMuOmB5lDHRLqDpkfturp9MR1vAIsW/lITL6BrgomktXpyZWli6+g2bnFZdE+LI1fsptUHdctpSCbmLxDQtigT57SM1sOsC+WxPs5e4XOEORr7F/Ev9qpZNkVM80UD3EKtPf+ytxQKaZPj3D5g5cJkv6xUnFDTB3uch+etIhuKdicgSP3zLeTsAZ4B3isBbfJvfnrWTAqVz5bHR8BOwp6+HfjAz7aMeW6pjJCYypwz/JMA3S8mC/M4sWMgQt1Wd961SILaZemtvcFlH8ludbc3f3dnSYmfO+nAren0b5I0BbHF3CE5rYgA1mbvRLw/6WvaRV1NrMJWfAIBt4+V10GbD0d9AbN+DE9i9DezNrb0fMfC7Kbxj4Vcp3melNnhYXV1lzRilwewf/ipDcqYv3BPhm7djPpt++8iq/0gBZRuc2PvmtQ/g7XT5kMLGT35bE4igbmzvoOVeeTd/f9pf8+VnmSt4+cP5+B66sVa+65rwVoOUl7yDORXtTAxCK4mMRSL246G8lvM3BTe6gITDoCzMX8qe097ap1yM93iUOfgPse2SrLPnnbTXziSBePqjG58qa7on4myPd1dHulgr7yXt8TQRyq2iHQEN9cfRvNhwDPpRic48EPs/720NG8my0RT08nNx0kgz7h3rOvA4ar7R3HrwSl1FcyRCDn+09MSZuPYKWCZZVAQMtrceTRR9PbMdjrrnzf85tSog5ecniAAfkSn35CX/25WAwgIjaib9AE7dNtAtNH2LTnyjR2PS7NHdUSPl/vSiSPNyudWiBxpgkHncjcO5P3ClCXI1y61/t0i97zguJiOmxlgjhlbC3Fhf2VQWtzpH8xWv5SJAujyu5N668Vj7ECYqcWsucRztZC+CEa+Am0Q4359mpAs2a6OLWorzjobzXrn59l+m/9ne3gCmRwEM0tZYHOW9/VYc3hNkHaktRCwk4hoG0qjxbY/ADvJRCZ7WDu1O/LWsRbxJACeCVScJsu/Y1SsLpr7bQ9Mr8Hx66OAwWMWy8o/0B78L3TfH9IM6ygob/Uh3v0/D7iYuPR15IqzrfvNxlT8niFTD0C/TuuRFbYuaqcrp3yAq+K3pTYz+lBbYrH2+Yu39xUa8e8U8eBBYPL6BBPlwFHDPp+oUE9gN0ZlStLeW+pHnRVrnNQM/pMnPb52loZWY1rughVtIWYi3bpALeoVO/4D8/yfgB/H7eNeJfHxh6cGOIuzJrwokxF2xA92sqLK8Jka6DZQOa4qzCBXEW9xB3QOYgim3+hp04hnU/Vpa91oM+Cv034xd8M/aZA9wfsByixafi6HU+nzRFDLxXm15mEeAV4GIssMVB35XLYUW/p8E+5KKlxMVTSXGQOzPYTQycUSYK7M7MHK7E35yfgfo8o9xwMnlsUAz6r3zWjn7l6fk5lz7Y5pGym6V0thEhcKEV/2auudNGTzbsQfBsFoK0me9zK818lSIGPwHZruUG4h7Oix3Kzewfa2Yk3LtVbvIiuTkz70S/vO44QtpLnjkQB+zgWluw1hz9ZC7/YRR0RB+jJIhvFdiuii73A+Dd8Wn6iUNs7k0vLw7rQC6JwBcllrsqyBn875IG2ZWYOtBe2dWoXndtTHUxNvXkJ/1xlaaH6Kp+5CdoXlBtDPiCtHeO8nWHC4mo1c44mAl+bgPTL+voahe0+TUTwcKd/g68EPyQJ3Lw4tr0vz3Pb3z4l6e3O4nls2GtJ8D3krGEZ7Y/+HPOUn/3lw/FmGXufG64M3GL7A6gnuQAuk3rswy3t9rdwbrMAvgONXVATSCn2uTo5fNP1cUe7OmrZqRjo+JskDfST2G5xvREZVmv5VUNFw87vAQO/qYgpqdsi2XoDaAnihIwg2jgdSPs74gJ2OS+tOVb4vYLd+Md6MFb0hMpOiLZql857RPEhL9cPXifDLCS1sNSkJG/ztVa7swH0P1fB5cEKSMkQbsVYnVEEElTpG843Oanob8LwBHhI1yJm5s4pQtMfD4VMhNUv+bCPKtgORO6f+ShdswsuNJpCWjQMbdsDhw/SEJ7YsP8mYO/ZhafQOFZ4I8uGz+8ZiU/NcR76srLYY3Br+1dLr6XKpquFUJdw7yCRv/y2TLslPYJXe7NgAYSxUGCyJk4c14+Z1FZZuaxLE5M/yTCWng/X0Hf/5wYJtJpY+CCixI6qkaEyl7FwDUepo82aLMwt1qmNGrzcH7tV8pHfkmYPmCdeNmoBqN1pbXFxMZ+rWORC/vGqN7A17jlKt9SJB3io6EudEzGZD11scn7PLOIuXi4ORywEzQvMnVfVbBxlPviovOnOddQtpqT0MsF+jZ5b/fabx1Oy5XDuiWjHMydJLW1qd18AIeY8aguZGzdJIA31cTUseKql5joVqY82WQWFuX4sVT8G/Dl/YW9wLk0UX7LZBdHzMzf0LgFXQ1xbLuWq3YbFwOfbb162IB+nU3dvD4VE/Dxj01dZIDB+IdGyco4c+rPmyvZZq1CfEiD7Z0UoI+C6YVRVzVejA8e6nC6pJ9bVlPTm7m5J6uZsS7/5tjildmnUFfVqKPE+rYAp0ZW4PFE40cKClAE5CdjpleE2mGgI8ycdTjzG+g2lwbbF+81OXCbxvT4y98B84iVh9w5OpnpC/VXi8eBxMpgmSrTL3tEvHGRyVK/Nu70wL6ej473VOd3u9E7pxm2seGluZnf0amvjH8ArqlX3hfmIeDgqPGpb0ETLVEC8fCkuZtTiUBvrSSY76DJFjy2EXDzIeeISBd0QsGsFNYQdMWFO6QlqzI95X4Td/JPzB5zTt6AkR9y+m/OY58VmVdy1INOAH552fCud/iAH6CPN5S3gA2XJ3C6DRb4K2PBk7u6+Ju9LRabOfbnabA8UaBdM3iagjYWbLFOvG2BG7d19P08CfTKTT3z0A4b6x20BkhprUsBcRU4hKCIgNj31nIInsCf5pKRXRJ4oB3ahIxxpSjmEJtukn1vKjPXh0+g73dv1fhhNRD7sWbgj3bIev3i2JPQyFeOvGdUfjYQ/xI2HUvhVeWw5LW9Ww7udKdUzyDpHxUr4Rvj3xJiFRFy5vb+Cj9X4YKfTW0VxMu7DJf1r656lRp4o+T2v/vlCwtaMyPziZ83p7IUFpRnoJ88WST3OlRuY1k2rDvEQ9JVfbMypCfpAhTRcsO1NP1RQuBv7V9PSBsfS+t7AfutAG9m4IvmnO01Bzw4rqDtV27mTBQQhgzzApbw7mRc4ZTGQ62nKC8C+0Rbww+Aq+o30QHW2N+ruf/Fa7OhwjYzv8092q2iH6afCOWf25SYOAVx8XWWAlw9hz26UIhFaQD2FpGWrabGWYHflYAT04FoZknQVac+hvil3w6uzBtfOiY/nHPs//XCHHH5X7+NcpP6Hy4GXtpEipwYf+GhRSNmAS8K5HPemfOupo/v8nN7k+c5r8H+wW+8E4plU6gojeSPGvROrju/tuQzXyFOFRp4YGBlA3FV0dxzFheNuZNbTS9lgk6B98qBsWuNDyeBb7meZoiFX+Lz/cqC28It7BHGr9zUoJn8G9hj0aso63B/Cuwf0Ko2RnpPHXQodXzLnG2e/XdOGtcBgGevQF8gD4N+eJ0DSKquBwsfRIDBv1pMUfOs2byXgmR1117BnuGd4xbw8a15zm62Ji6jysURMnmOAfgJxNbdVArbhnhj8jHOwBMGM2eoZp4nQvzaL9SwBrgut6uQgGJjD07RDwkC0DX4N6HqYnpisEF/ZlZrcka+IMY9QFssgE++HOKSD+8rpUifgMkCp3pLeuBGw94VwfxTjvK3dtCL2zxlQLzSWS64f1iVA1xtxWdq7hCe88HU1pl5Ao3pXy3UF/hLa/ydjNMtofLCrHdLWcRqxpg3XZsz3d6l9f4sB2IRJ4M4gf/24JUr0oD+PhX4nq9/NTv/y8OTG0xln4sF4hlfVGg9IfZODZvynC02dqz/7GwINszkMLl/fLHKo73DLK6rscWgz4g5f0k5+z+zxryRPbe/pQZ+58T30vLSKgiuOecxA4RuBtvcIXYK8LDs7UiaOyHQJUnHPQkYwFwEfhisRwu1zOawBXEKPvHEPQg6TW5C838zuSrQccTyvBMjOhUoOFiBK4Ptj3KyK43QZ2Pm7A3aVE39Mn/vksGe80H3WKCfU795JkN2T7jiSsz7bGhzCftP3UnCHnOz3rx7adibowJ9y4YZ+DLapbS3jsC2zAkYDckuZ5aZV/gLdvN1Mny9iGGNFaaM8KRoe9ZJ0OiwXj3awHo+GycOmIgPop+SyieAans3pSp9nbM15uZyMPNkk3se2HFWlAtl8qvpkZYR2gOHdbLOzIrhCRdoAX5m6nkCWeChtkuveW43AnQHE9uvykUW6PMnC5acB/2TUPll+qu8YqW51wXsNf0mCYb3b/583QYNRM6gkwqps2daxIeTyct2OSharNOCv5l5lrkb/4BmTTK+96RAX5krPwnHFuiGBaDpDeLEHtTK63zjQHvgof22IH/ngaBput0lD5czxCZTZwr8C7SpUA+JOAdd8knsxM2sxK0DSUtLj6a5XtK3LdjEM2HbNWHqV0TI4hE8H+lFIvk6B0ipG3PgKmVD9dAwhTHFTyUemxrWAmwuBtv5qhA/CNA8fNzNVQh24qAKOMqxYfPaAO7U4cP01TV96S4Hl4FuZpumJ78Ve7cO1v5f/yjgNJtq0PZxZVZtZ3aF1K/SfKxsNEmbH6pIHwgL7BxhWfbkAjo6V+4O1eD/sMcPk+uVRpoSjnzgshC7Gzsx8yi08k4dT8iQ/cslrrUauIvXusc+G1vQwtjCAXFIOG0Um4+J6Q/nN3Z53gIebRYMviEiafrK5UnEk9O467iz/Wx4YnrVz9KOP0mkowZ+9gQUNWXei/eOSRd42aB/abQTp94+A/OUpxG//Ze/ucvzFRWsUJes336eIm4fHO+WDLelpvs7xLCJCni6Nbe56euOeJFY8Wp6nQHjvirxbVfBv1ysAw8U8C5958C/c1+viZ9c8d/8Fa5zawprlycVxW+mf4M0M8+BY+drW+YQI9NobwNn6mXETB+EM/DSXWIBj3RxkUMsyxwbs4697gKc3FdFUhAJHCGTroqB2/0Ab+3TcFkaQTYKZRYbFMmYJrRAqRA4hGcV1N4NMrqsB0tP/5tzYerq76eOmDzfrIliiPE8oQV/3QUAbqhzE/zXO6IKN46prwRbi3PQhrl7efKi38CaH4D7YQ4aHXjIL/fZtS4C4KN70PreRg2ZR4aJpIVu4X2Aj8rYzPci4CY8ePWenXE5tDfGyCemJK/69qfy5Q32QeehHIxu54EGjG39zP7jsZfs/L7BAepMTvCJa6fpsqvRFYlWpkZ4IJ/bILEDB/ftCPrZYeH2VSsdJ3QX42GhZT+Z+g3vaO+CHHiUAI58XPXNVG9RkwcitJcivG9Gva9Mheq4u4hul4Agv1eUR0kUD4ndtlWAR1rsSELjIA1uD+ASL+3w17fe1OVgYZs53CGnmOF++2wEugEfhmdjM7OIgzbdQMx3FSe8djH8zlmmQr+ZOcdE4DxbFSGOLOmqydHkuBSm5w95wrNe/pXkAQ8AG5ASt7ui8SUVUye0zKi1vGXFhFP0vcEWcs1djtLaqtbdlRQoasbAUiNza5OPx2Mv13Gca3QEzmGzgBSiX1oFa5rQf7bRmRnytcgcwHGfgT8DNxvqqAUddLunwftisFlailE+IbXyDaf99WhxTK0W4hfw/1D2J7Bho/0OjrUpR2C/ukUMbJQX4E/99LKNVXF+zKPMKpm9F6EdH1fQq8DbQPN7EDNj0DZjfQZbHsoNHqc3/NyaOmef2vh6dMAXbeUlw8bFNA6ZlrCufMfMTLRRTaZXSGnhl218mvq6vz5xAUrEmDwBu3sJPDobvJ+ENg59bp284yzvSCz75JqzVuKeP3Ew3ZXYW5UrUwI8NV/ZI1/1Tx1sn5xLs46HSsRz0nsv3GhrF1U1j6/ckhvgPRDHZifp7bzu7UfdBSsLW/C3uSKWyjGaDhIwB7jTKpCMMcgw7vQQG+0jxCRfFjtQUt937LSAx7tzWcQ+8NlXr/s7xF6/DnWf83jD1713Ei2wtq0EXg1aQ91NbTpnHmDBrjo45Ff6yCXAhJPB3oCGn7EAEx7mrySwA+YChrD2YnKm0wJYNmiYg7W8tB49UXyUKO55QHQVTEdzn5+swE8ZGWqI5WDboglt2gQLqpkSdFUV6LMAtAZibCoa0y8h5CZOzgq05CmSv7JXIdg2NX0fZPAvVqKMo0+M2k/81y/KfuCB7+vxw5GmP3vAdSPYHXzgVxTkmaA440Gw0q4dMleNwAFMnuUKvGZh494rrRgTit7Umqzg+2s2KJkH+HXe65YWv0ihOmLZKazTPrfa8WCj6GBnj9I2uVZtQDtCc6eNGhanCQUs5JnptfCWiot3WFWPrcdq+pqcQmSdgtKCb/4FmyuTfvqsg+m1X6AH42caTgngkQUascCBHuHP1fThAU9Yj2vg8l4WVWfy3c2sD4jxFGOInQcFvlCDHge1ae7EvtL8HTRbsjmu7RGwOlN8R5TGv/9wfpzsNEC4tjwbdCDEOekmz3d47nbk/UKTSHbl+r1J821M4XdVwftGMv0EbueCK61H53IH3jZIjcpSEKNnzEwLG7hdDwzNywfvdV+5r1i8w+vHk/XLITf3FgO3TW65ovLBQV8nYUybYbpz8W6Bb5jzsz4B/KM2gTi4d6lAEXBch3b6yUO05HZrNyNzFNPgf7aXu+g1t+Kz7Ha/mcAxCYETC9NXHescfdxV0HpylAfeo5UVrQRuHPK1NfMeWWbw2OFd6vd2WrRvgIsedjZ36fMw62V7cBGsP/7MV1wSe3rxDQ3x82EwXZnefCvaAPc0PVhsGvYug+8rKSDlgAdYkzfmxwa7gVPpLxI2DtP4aGoDqSXL3CcZZ9MXRe2dAH5LW8sm4lViPV73eqau3Kod8pNwfYb4vhKNWROoGHfB8xRsNjmXVlYgG48qrmyyOQ2XzdFRIej+DRZeXw+okBCfJVvOVbf3jg5/+8tV7UwOaLwBPfJ6VnESc1HRljBLFUJAHO4yl4ZoToQ85665x0G9gDgIesllVnzJIa6ADSwm5yeh+42I+Cfw0An4qdugmJw4fAvHU+UQLIDzNRF+3fleCdIrttpWhnwxvdl5r36TAf3wCKXS5DOCneNRFqpgthxNnrjBPcBnZl9KtiDgwxD75jI199NgsY3/7Vboe6Hdh1tb5V2g3UvrhSyKs8QB3UBBTw+bRwVxTAY2yYTXAv4x2RH40mkvu34lAwmBl3lKNHZN2R13DHx3aUuIIeZOoOxUVlmcgJhlZhZhxbHJiX/dcVR/dyFivlbCpsyeWN6bexc+1/4H+NI8VmiX5M4M8VSCrpyTCmKBem47Ekg/R7HgwutIj5m5QMJ8JxKXDypMNifaAo7EadZP/87Maxt9NaBFKNgbA45g5lZLDfFuBXxagW/m72uKiMui3s2drchctJrew6eCP4Fv/Sq2nQSPRy56QEHQzqvKk+JyN/35gVP6h/XV635+O4Eezy3PzOAJhN8+SSffqINRyt6fp+G/2lnQmrmZtQo2vpQ20UqDn4nGgxi+lyH6zYWpCys3Vcdckb97aljOoK+ik486Hmxfd75air2d5ds3or/vypI/gGGushBmEc6kboDXznlaqJisH+tpuD1zNmVSbF1hZjyMcW7OFtQIKjC83JVLEuxObibmlKAAft4DjPxXK32rI2KXAoNvtO3R2dqqU36DyBvok7IJsQ98eE2LbwdiEj0BN2rcCfSxTSV8s+DTbz1OsP+9JfUH8C31w0YG+oKDvQACgB+devzqp/dMHM9iPQJb9BK1QvjTas2fZq7Ccgby1B0t7f7li1q6Ur3XqXC51b4K60hvwPc3B+vbA01/r/sYuCshMsyex7V08Krs3OVfuOP/y/u6WRhiUt4Dtwumshy+VxxdHpm1uCWATdnHdhKC36IPlwTfphddp2hpZodYVdF4MlL3BqG5KeQsTe/toVlBc/kZ4w866jIH7l719utMr0xNHVwUO8CFbNjjN851b+r02IBTDN97Ap/+b3amypWDD3mv19JqL6ZnTBJMExYx6KTtQqzAboKtlKAXE2sa63AruRO4pu/ESzuILjac6ZAVoC1c/lTBfG80+FiHhozCc/04Lu0Pqza9aAb0aWp8M603OPTudaG9spcVrOnMnOYqQX+CJrxUSIp6lBYLHvbBlS+OXTBLx7WlZKN3SdahKxfZNQ1iX40yy9m8U5YdSL0DDvP9FL5yGuCtRxf05ih70H0aODHQT7URIaxsoG5g1xsmYJ1HYBd8aptweeXBXhrae8BdrdTXrQqBpT5vm1pjaTpqkfxmSY5nbPO4itA5L6Yy0XI+WmiXB5l76r83ku/2jamZjf5qfKza9A4Gng9a06tNLZf4912mJ3/HdbA5dRL0CflkYr7A30HM017mvC94MH3+Fz9BphcqKWvfnFNNrTR1vsP3Ff7d0hQf9mmQXsNxckLkgE0POQYMa9ALs/oX7525w67EVpGiKqXD+/Uk1JSzOMNuCxoC4i5Ve9WjIHcnM4vtwYBHN47dU355qIEfaqFN/72bOG+t7Dn3rIiP1cjxnz4U6Of/3C9XGSjRw9omKZsvotiFeYGuVHhzyfE9D6Ro4Hm5A1qQ7wCf5Q3wf2P6dTSdmmrd/jSD6SmroxMyfVY4yvPtvepjTgUZcbG3Kd29ZsTbErU37Ex7xeRX6qvpFMW/bJgK4PnXet1FFVem5+qe+WwDWnWDNWElb3OJ9guxYV+s2dSyWeYMSfZt2fTS9IjCGJG5Ksysj3+5IjMVy/Wvr0jHM9AjqwqNTpKuyrep6Z8G35cAHk15vw0pkh1jdgx2eTv15R3T0qPOtGlMriObAQ+WN8q+AUM9DJxP0L9c/uBV8+hIgc5KAMeiyRWwAp9AM0I8/MUQ9xpr7wCPHtNC8ua8TeX5/Vr737YUErhHuaRUp+Jz655ArzP2bjc0c0A3BHkImvi8jXJ4B6GbV/wCrv5xl8+//MpVRcmTBvgTuOg9hWfD+wf1Kr0yn3/SsM3r4PIkutkoVHonSg51/m7l9MPMmjB9RQ7V57vH4d/Sv572PAF9X+Z99tKwvigyM2PWy0EnMYj2zEFpDQyCOw8bbKUv7f4Jz/oy90GwIyZmH09atad+66U+Dqi1DRqbgwaAb9KBk4ntkPqEH5w4EEH2AK366sW9YVyZGZ8PZlkbgtjSOMGa+/EXaB8HtHOR6w+Lw7oKZluV5k+IEYDJOC6777+8S2wB5vZ8qlEb5abv1l/vv/+0o4zafS7I/z8/LOL4xPhFhHNaF9/XrGt7vmawL9wyuoBYcgYOJsWg2mrgf/wdYvERA29kKwbelW1M/+I6kEdl62MNDCvXqsrW3QNwoc/zOX7ZRs3QQkdUNVYPax//KKRmpeXZ1DqCvqYJhZg0fLugAR95pAoJepaBjaTR/irH/gH76tY6eZRiKnIHVWqQTm6hNhu2pgnijwA++W8NzRzWdQcajozyObvN0HiVBdw9QJJBzAXf5AIlG1IgUNz6E2J4zDhxM1fajaMfeYGnBP4vBtyRCrYBeD1LNr2lgJeJK38qMV1evgzcJ20CwBK/7Wgk702xA1vmY+3w8RTKSTL+JDx2xbA1msUifhwCP1wTQa4keGzq/ttr7N2NWnyTaxIoWwamfqTWF4v27w/4N6/98rO+1SeqLdBAX6ZfBxXzLANPigDwocPLwSYpaKgWdPFi7mdrhJYauEZGdzlZAa1DdABNkta9JxOworpoNYs+NtVwe2ChC6anVy1Mpob5CnzMPYH/1SEqFJs/s/PNrTv1oyJZVS7xmbn3tdEtp3IPutHjwXRrAvu3gf2vCxwxsCE2mnrf2xU43n89lcHHKd/Favx3/2WnwPNzBtre5WtJyQK4fE0L0+dkawkfwzvqTf65BRRm8Pff5n5w/ct7DDKbBF6l8hvwpyWhoQc8aT5gl+yr7gP8dQHuqjZ4IK/zeXMOcDtRlTBYb8qJV5tcgxHUAmhhIiQ3dxtJ/7CBmwK2fNvVAAzdxVWp1b4ctZMjsEHn4WQa3SiT0dH0Zg8bDzhCUPnyx+Rxvu5hm0DifIx/q7C9NDbEhggHGO1+Tj55M/NUYH83aUEeDWh64KHnBngEhbh7WMmSFHhfU/kD2BkBLjsnoIX1ihb2nAcZvq/c4drUbr94lOEgVOsn6fXtaOJ/SAATlEeG7AlYwauguSeF2qcisBhvXeJOFRvVxPsHxAe7o4PtVqOWEqklCYPN0fLe6p5csLM86eC9JWx+7deCwyWqV2Jiw9PM1EocBN8Gv69rf8zcKeqSjei9GfSKBnnx4KNEMtCXJuBImXlfw7aUdPcJa+sSZGaO9Y5yZVH2JCuZPWYWf93DnmlEDkqXsA+4qNnkyfDvzn2o+7niPdiVyVEbdxZ8757RnUXhmY2lw9LZVgdrAjYk4R2RnYYElwASpat+8jAu86ItEgQiibOXhv2lEQTDYDI5KFlVACbYLa4DLI7PeceBc2KINaRvQE/qvBToUfeto0xuSr49wz5rvu6Wk7AXhRBr/BIwkusT6EPYr0dNW69m8tXDZGV+i//XI+hZh/iniQjY4e52XPUKz4tM3n4lbsCp9hCneqs+b5MqnA+Zi39kvvUI+I8a8HQy55jWw2MoMLVftKSlY2bhVrR/3QVsRCHXZIhtFugDcRoHdGIL/CeSXTuXNje5BKuyACcGdGg6sqk0PqvQ3lTjhwMcjTdW7Cg0TTL07LL7cABzMA+4q0yvQuv979mvu+wUJKSpCz2BhpA+MjXBq1rbjERxaN4LdN2TdurTnAeau8tc89+ac68C0W3qR4Gjl/xzCxpQPUGv5rAH4QntrjJobeApEOPQ68x8ahzvi3axR21yq019nSZUBnECGvun7uIn/Zz9w/Pm5LCO5RAn2dpapb07N7aiJg+tGdEmEzI7dd/Wie9+Er07y4h0Qk/zX1/V/v/3g+VoWpPe/hE0Bl3QnsGGr/DemwrFPkX8nDOvPIWbB7zLuR62LazZjo3ylzByIaAASzuwQatucstOwO92WMDK60mLjpcZi+GN8OuMCCR55iQ9uQvKByH2Fh6n5GBPObfBDwT+pW4bZYNHlWjfjG/WffbAvQzLNdhwumMiuNkQE4bTQP6+gwYmT0e3xGlXsCFcOeqlzc194mLmcqnRVNyqXx4ld+aDT3PJTtG3JW1smx5+pjd7jYBXMNPzH7DY0oj2hMBzE9AyYy4ai1okJ5a9Ae7c5n17rxx9T9g/X85La8tylni0kC3EMjML0hKChLl9eVaaVDUF7YKQNJVZjMc/VdRcQTeDqxHQ5lJnlu3UeoL9ZfbR4T+8N/f4sTT3CoCFHhXq34xd7JMe9iqsAuCkA8kB528H8GEabt8Sw2vDiSR9nOAusBpt8jh2P2ZWFGAHZp0cVIQ0M73xn7OF/cbBlrdRrjqbXCoZwrvyf2d6Cxn4s0G7NY9webBleALtb+Y9SoT3PJS7NAK16PaPct07EEfaHGHTM7Ctx8auqH5Tg/4x8+qBq7zBWj+bwDs2gAmAC/NJ6zVn5fLiUSm/LKrLHDpMOdEfNg9nD/jxHg+amppLwHXAN1nmYxs2prbemuPM3e2F4Gc1aooHa8l1i7nGImWNfXCQBboGNFvryDV+4/Yrr3K+VeO3JxhgRti6uPgGvG/z07hzMf2wkhBPJjcYYnUqRjJjh3iNqY1aFfB9uSg9rXnwNzd7L12IAyP5baKdg/2PBfMJ/BbF1bh/2eEBfN7UxxU48HYMeF6j41EhDHzi3c70rpXuNFO9W3gASnfUfsMsu2JqqoK4NDVc2YipjEw/fXLl7h6MJq7K3vNra/OU624+Fc2/+sra3z2Pjm1q9oxtgFZu+zSanuXw7hGxXbg5Z+3/y7VOQtv0DjZ3kGf2ebMxMjNcCAXbuwna/sD+SRp4Xbnujnmo2obvHGYtL73sZIyU5HP7mYZaSwY+zRZL+QQlg7YrwFDmoxVs9FN+zh43Z4+d9oAfWeQMPMZinvi8PTM+7UyfahURSaz4Lp3ZLxlG4HeZYNuXHR6JY2rbzVw3DRwKuzVoa+CUPOn0Zx0lDsTQO/DDTQr6gvzXd6toKIqaDrWVifscP7nhjho7slN7wPg3ad3cpsPnisUVAVx5cbaKIcPXF8qma+XYqLLxBNoHbLLNKdMXKQjiGmK6jb74aPLQ9k/QBn7ScZCdqOeO9QRPikE/FKfA8iB+nsEngSfsNxzwLg3Uyw6T2pmWjKEwF7DnzjKDr7LK3RVlYWbgyCkD/wHmLBN4jvL1LTc9c/v4knN8E7q9Ac5/SeZlZkZyspKRUvXWhDorVwm2FMeY7148ytzenunwbupsNiUzdZKllaDeA24dnASPc5AcgIiAc63pReHXQbOpzltYydZWoEuSz+0vsbyJr9xXobRre7dJTa8ik9/bq+Dk96/v+gFO63GDU8LknbINDqYkCZddzUCXDctn/pwzvmoPfI0q01dz2D4bH+KvT+ykS9aTQIK5cq/C/XpcVVs6ZNMEcVAJfjO5fNh95WOD3f6PEwOfAKyFb2KeqcX8Bd99JhHwnU5q4LKmDgcBnwaOgx2w/TH5nL8a1DpmLqkaJYbYb3zdzJP6lb19rsd4YJ8z+Dx5rWFaIcCoiOdl3wZ4JQEwjq8cqUxE8S0RuE8DLwXciDHTphf2lYWNVZka8X6O08/3ezW0lIHKxqt6w+ebB7rdTTR542a+A+c872+vcwCr9ps72McAMU0cTK8zkdmpyB78vIVvLu/12njAO/pTFxfc/t5ILSEaT1nltDflZxZs6R7spMLAixja4byLP0HZ9xR4qel3kUa7173em+JkLjVZSGh6PLbA9/GUBtv9f/NiPyzQQFeIOWk1xGnSSdO7FWxpQbUl0zzwgOGRIh+SjRSYSZNzHIC273kqupY0q2LAT165cwZXqkYo0lge4IKCdZJP03tZRGRSPTPzE77qYXrLz3MmV/Bx5rHExm9qBRY0tGZGjFTW9qe21N6c85gZM5yrjeyIhnjp5hF/3cPuVbB90nADuoCjivGoXEsP9MbM0PdD9tuntLON9FWXU/x7dOMcsOFHnrceM/VMxQfoa+83D79d/Dn/HJ2blUca0w5ik2XOTso1o+h13ktVgFKI4Q6HWHM6zw7g/q+ipifscldsmY7ulMDvvqrz3CZOeZUO24jP+Ql8LmSWqXkyU+vxUjJis2HK6ghPjY9/a+dvLqt3yl+2MTMz5xFHIJyG/bWE3T+sfDqZfPEIHSrLcjlDl4MVPBqOdrBHIuMSn7pdeupbBn+qWstbFZq+ZxfTD3HJnNnk1rWvGoa6QK87KQ0Y+kUYghgMWmQkmYoCk6ebQTyaEzEBYdYW4MxThLhgxc6twG9B17UN8x61o4/MRhAT4ilbzT2HjCC+HPm4s0F9XliouQDf/d+z5MFSbzmNBax3giGemFgE3LyFFQFuvu0kxFWsG6cKgVv7wBpH7tb0wzFn6I0TyzTiBQ2zRYV8z8Q0gX4r6hHWTthhAnGZBfHLlzdmJiWzdZHn27kW8sLzeWiEFmKMR8613bi7u3J4kDuENSZ/FCkEexlA/O2aYcG14L+nYTpiQZ4n4Zm7T1lrc6ZgZjJNfTPyV2+WpyqI6TUdngougPfcOOqdU0F+BFP+v/mJvrl/lmEGe8MF+lEOfqOMRBLiTu63pv9fJoPlKUP0FAJxUmCsHI35oP9mR//LCdT9U0aZW+VbXPXap8E34JDtgVYHbFSgly8P1qMoLXYQZDnEjszJhHKrCDAeXWxzTlkBVmV019LeaBNvrqn6PYW9ezRT5oP4ZRvACPdX3uuSO/ZU25pmIr43YTxgv3RB6wEPiVPsJ/fUD+6wt/eSYtAomccc+7fkO8DtnW3yDRtmZ4nDZ9B8XhJw05czzfrsTsfshYfX5DyDBsvuoO+Ao9l7U79teilgzaPGJxkN21s1XP5yDY7O5WrmDR2trbnDbw8rM/m2Zjb3UejvK43MbMy9nTumnm86p1EAvCHev+6kYO+P8nNrdCBLrM2Sj+gGv+ctRTuI+TqSEYbYgQqmccw/b/e64//1KRyzJw7JHffbH+BoHgZuROwYGd2SB8uieL9WDvrE+vKavWhqc5/Nin4SzncQB+lxxQsG/pzwxM018rkztcCLcgqRA/T+oRmIDVxkSriSOMRfpU0+pas6LLjDxPvmaO/eYJ9BnyxYjeinoa/vmi84BH1h7xIamby8+QjBysPFdDjROD8Vrc4K9ZvAuoH/YxnG6IQ06GkMPHhXyeD7XgnAnl5F9YDTRKs0d7ULehwwFf2WVktOwfZV236prKVLmD3WA+lKNkfgDxHoqnPNgL8zz2+QPILePGJOEtADDzMPG+wbvk7N5Lkdca/vp0DFp4DfQfd6Zr4Do6Z+Ow7yfsJNwF+53/v6Of+APnhkFjzHkm/AceNGmz61y2RySyvQ04DlF1rEA+glIXy0ULS/50HmZbYETP++gpb9TQNZ4WEJgOfEDQVe13HeIC4YqMUXF60QNjWGGItJQvw5VsyD0MJzOZg+f95YabknFH+WzvcTbIuUHdINPK8BqEt8NRzABrNxBzFvemDH6+HfVuZ8A3elRVDzZMW/c4Ad4ExXD/Mn89vOaAsStVZjy8spQmdO26JeScaN3hdzjHvFgTsfgKdPYpwIHrK7LHabUsgw5SqCNRR0RGNZ6GcKWJW4hJxGVL7icikujwa+LTMzrqlKYX+8WoD+4aoQJp891H2tlcnblmSw1yS0FmD5z3zlnezVBmI2+AsaYHUuoHeI6BDwP9tKWawhTrC6aP/NuyFFDDgWU9a351NX2jVr/ut514EuG+Lz0VJW2SUQu5mpUfzF67dbB5iLoLTB98507S3gy6QqlCW63cQszzla+icPvtc0xO6pz17PeqsHdlXP2zNZkwf447Uc1KWm38+Dtdw5aGbJ9gbXYN3Z5rjur0RjwsV8rk09PJM3FiwraADgOfieft6uldAO8MV7U8SiZIs+PG+v+HU75aD1UNyVY3Y9OqCjetvOnnMJfMBjvV2CDvIYV6hy+ZrbMVEOqf7qUun31eRnUfi5iqrKpDkQ4T3NWUoKHB24Q5zmNy+z/t0v/zARrIndyrLPvNN5G4oQreVKgK8QiCEkPAA3gxh/Pq4cfmYuDqsupeDeKWpfM6orHmiZR2Z+TbBQH57vxL4QWz8NWyA6yb+67CRQ8PPESvolLF1dKlv2oAd+qDMRoeMzduwz7rCnRHum4242tYDSQW2pp4DqSYJ9+rB2j2ptHgm7QGxNnsAhsLTKpXS56dX89TqDBX7niQBIn4vNfdRDBXOZhO1v3sc2RxwD1r7VIy+AH4EeaI9gS+UpIqOySMB6L08YW049n7gAfs48YNh4A9poczL9YkObVvQ15/G2IWLZn5B8JvYk05A7KVWYjyqWhQya/t2llvzL4zo+31fF1Q2bWe5d6WCXZ/I8P7HFV9bhn8aNCcQX/xRmz2zAkakZAcXfAm/7l6uvntsN6ADTnwv0KKwg4Ety3v5wN7vjsO3r3uRqtxsVzrLpNTtxfC85sSqf3Q9242TDbGZ95VVALunnzIhvelqrcznENgUsx51+4WFHC1xIxx7L57tDrWUVfu9xwHHFSJeMbVvms83F8ij5tDd1EvC+jxPaJSdm/3HVlKKpHJADa+FQ2gag2++nUIEG6R/CL6+gp149/KNsUKOA987ENEi036TMXinoHO6iH7yiW+3wSzZixlcy5cHWktHFlVwy2PMH2PyR2Bo3IxkZ14MMFcktT9e2JA3ntAH/A+71quN4VGL7PNGd6VVEk4FUaYT3gGujmfddFpOpxQbv31v8PLulDqy6Q1y62qOIVInpOxG2ZoYMyiwO8T5wG+FlDXDAhpWPzN1Fkv3DXr8Z7Otp5BK0F0l8fsGivXMG6+Y2V6w1hXc0tTebJgQftuVNwp5isfeUvwcO835PnGaTOI8VNKgNnOFv1s5/eVDtbM6qAXtfvmxyr9D/6qrXfGUrcOBrbpk5IXFSso11Gr4t4AZaUQkYJUvBzTQCdTz5cZYMKKlC+ECOKNhrVn0CtxX2qCL9xp130IU7AnH4VU80NB3G3E9cZdkIfHLz14eT7wKjKdOgzQnwCJOHdDJ3ZOz9AViVYluXibMtG3gfFiR3eIfh6AJEBHinQNOYORvc1zecb+NTP7/uAu6Nhs9CPejCzTMN+CcpyJvpJ1xZ7A7ccH9cdzn8e1Bt5UZG5b20dwPm/VXS3bOKEtBh3zZj2PT7u+cafGTYbE76+w4/Y+bfeXX4eN0FXLGTmVkBNmji6C9/apC5RB8P5eJrxdBR2ugI/g76MFjw4NkNcIgStGAdNAtZdzb4bwtmf+YO8GvQEYRqwTXJaVeuguoeR7vX3FtTB/olAT9psP3fbBZJToNNayvmlbV9Y66ZRe/Bf5uaClOrginEni/MAxu0UFzS2AbcuSciRqDvQ+DQmwpwg3J0O6y7SdLXjPh5LYd36xSSN7B5H3Dm+N9ZFjdn1j+V4EkTyg0Les+cV9FBmhz7v972oB12J//Dw3Z5FyZv7bkFjsO/mG5vCcA92KOfCQm2jF7c5k4Dr606ds8tBLr4Y8FFsxG+PoI+mSVHSSrklOuYkkEfCdB0phElXBeEzbIad1kVtCEb2o67wOXF5Urox0bR3YwtWZbD44kd9K9OKll3LkRzwovdWfnIbqw2S+w4JzoWhPML8FMEsb/la+aQKP5q+HQRxYddjRC7bTNLnriAj2MplnPZg2YNPAqx3cxTesOAaZXz6gcLNi42m8zMUe0ndAr2Cw2/H2zY32Uvg9qOP9m622cFcKdeR2JEFbV0C7HTnPnTyt3BvwV9L7YZrJt/KmIG2tdKUOMkLtZJBNrQ+lcbSETIv8jatvXn3CfMugqqftT6scH2h1VR1GHK47wHzHKAI2tTo2omLeiQWO9WhVCvXL2QkeSl3k0mF/VogUIDzJDWzQZNFnPrlXsAuhKogelnnIQmP3YZqmgXE5ufZRT/CLHMjdh6lUVKQbEvtb5SpA4n0T4Twe8mvxTe7ZfaZKLu1FG/zfLnbZOG6s4DvmH+f322XjyKr/21WltTs+0DR1uavrlyO3Dk0G4OFhGsl2GicVHbe6+EPcr0hwt8Y6rCby/r0C9wQkd1zGtg3dPwLzb8Vj4CgHhcK9/MkvuXL2pVTAEvVl95f1mPriqlz7y0+H7mbktpWN7VEKxKyN9aWFYdqDs2fXQ/t4iED9AMzJNi2uSr3jWdHLhPRCa0j4MlUOd5Y6aNsMB7aXMzn2PJ7QvgxjzXGlQoytbE8UxXnHviN+uJKSpC3HO/gd+7tdLP9zUf3t3awhfVKUFE/GNyX46OucNaHszmxxPCsemxmYjFboL21UNyrejHU5g728/ZBv6YsUiuDWgo1T9WBjFagp+ntF/Arn4VIgRMhVA/Tk5RucEFYrCevVrjAv73K2dTUPkfDusfNuiiWHXJmhfJv/6isOYOj9qV8ukNtMMVdMC+QvxLcsDN4XGtg3hRzsLLnhxxiKyyl2eJJqNLngJNYWN6pfjo9jc3YcBJ7WRPWL8rFc2GRTEwLvYvf4MP2AFtXFWuQgdre2FFXB0d8McRVl/rmwLbphZJKvAYCnoY4uxeuiSlARKNpVLqM7vSHPbo+3EaTB97VNAR4ixvfWyTFrTTyw7vpx7iHkRw4vQWZfYPjtopt+Wv5LtRiY1dFW1LiosDesVnIl5TJoFF8UlFklcmH7BrP1Wg3vIOgw+YuPK9wnpGpJfAi/duNny/es+uAvFS+XqT9O8LFholwAOxvxNJT8LEQm/1ebszUyNg1UG36uxoc8Cn6e3E8M7gdVJ8e6kAzRo2z5RqH+LpvdJ70DQAz/z7nnL+qkGwmkC7f3PmfNBZXM3UVhX8fo9AnEvNTPBAfWaCOcY+cMFtxTZP+A5PFmSSHbw/5aCfeheDPgPdmQCOcMCVgHRkyhiZK4ZfdQHH6i8npr2dwrmtzaw8gebG55Nk+FKuGHguKv5qcuxpn48aVbaZo4PJ32wXS/7NalIC1m0t4b1lUkVm5sNurCzbN3bZrP/mFGc52oGGBg1nkYjboLEsTWSH7ozxvcjnHQmBH3TtuQqnimpknTTyqa0nJS521i8t6IFz7XifIiJr2X3fM9f0d9UZ5eSQiqWvRfCy+fboJg5gmW36YCgUtzy43DOGfPiD6oBDqPqrrZ5PNC7Umiw1MzXump4M7/Tjn5zHPeiVUAj1pBxioyBfB2fJyx6da5+0+Xn76lOhTX/pNJQ3AXGQcAbPTRwp4gtlD1cJPNf27gYxY18HJM8oyk+h92Vy0csx/jV3240IHiywQFNuP5X1MOc2+NR9P4GDB+a8t3G23ksTAZcWB0feMN/howVYSRE1s2UghpYKeHlmIV4VnJ06ncnOZCy3PxCHFzq2v3UXz3/9dQvAmWApRSB3oFl+c+bhJLqYfmsRG9Tr3EbmQewCpz5CLPIhvsaskxmh2ZqbGn82WWRQXcPjFYTfmGt8oRa8eE+uxOSWDImlbE5PPZ7MDGscyA322x5/zgX897XU6A7oa/+zefj/gG5NwWeOSbd/kM/ZEoO3NiFijTWb89sI8OlMfeAtYv5/TH3bdqM60+0rcTAZ7cvGIDA2chA6gO4AeQSDwMQmNubpdynrc//7Yq30SHdiDqVZc0pVs6qzwD/An/Jzv3mQnu+qjoPm8gKz15fGHFXAawB706aHteGouF79tzY/AR/cK5e7wGdfuPd+zGy83FFpVfgrDeGd93+MX5CdoraQQTtA3PfVyrNq/fsys+xT4Mx1f1/ZgEBn8Dtge5s5MyjF2Wvc/SoAS955mQ/Ji4zSqzqfVqOZD3W9HZ2Nk0O2TNe/HmhBSscpzAuFM6FGHG5DyBOnk/HfRQlr3MZW/SIqm1cYxAvg2A0H+yUFmp9ZHiFR8r6vSTnZEwPm5T3a1KA9zsBbgaNFJCBd06GgGY0excczRy3VyRPwEHRMCdhhv/Co3HyYP0SnFuCjLejS5TymLx7p1viUVIXRdv98RTw69E6l1UfpkqRySYGdhLIY7oPzbxbisextqxrxRnC1owWfAYcieD+bWpMPDHnwFLQp67e6fG27c9hu6Ghqv/WxdgllWh6xnb5xY38K0AviY60tciwtOR4c21fsj1uFWx+PzDlYd6ccpi41Hkcrf9Wu/AatS0APF+cheaoOOLPLpYy/NnmQPmANk3z1I9Yb36P2MxfLWxNNpp4Q+MYHMHHTo8IbbqamJ6TSqKfF1AKvbBukLywCxT9Mxn8+Lzt8Bcx6nYeNpRxMpQMaF7AvN32OAd+koeWIAfJOiA5VOL1jvsXWtuC7rZXutqcaWHAzYFQ6SXYePJKNcNWu3iuOC8FbQsPlJhFaK8GeEDu7Omw5ZlupBOTBwn/mvddmxXQjCEngKSu3Oanjf3XmXe6qOBWmznsZc3i/oFlb479daeAFo+m/QwHvuUjjlp8FyETQkgCSDhn/O1cAHv6Ne3yDmEkU6zfEyRbgQh3EIQP9WDUFfu+lWKeY03pVGLhXKXpY0yJJ8mFagEsPeU860IYZXOFHqvmUMwbY7k0UYIuaGlNNKOBa3HAdcp2M556APpFFxZYdthZMY57I6N/cilfeG28lHzDuupo9GG77e8m2SxP/fVbCQw1PjWdRpooEHwCNOdtsqh7dG92+Sj5l+WBfS2sugWcLCfrJ7Hnk4vo4BYSYmXQ4+PvmAC/QhBaosU8yeIAt7Q8vslfq8s+aEgzr30utCfj/n5cI0ueZIqF4s/AufNSxX8mIS8gxo4SIaZi2mK200il8Bd0rlg/ArM/S+eexsC9dMztDFif6tZHO9I3HL9OnHuWgKajlnc5CFVW+/TB+cGf+9yaHxDlacDWhlIBb3yknkF/DDcSnn1s6zgp0OTgtw50Ofmf5rejfDGvgVC3v0AZ+f9+40sbAdXNTQ2N5Uo7ExxbyDnZoG/9RudvCMzLnwuqnjpY7ROloeipZh7wTuz4Bi/s0lKdybZEa2K1yWodHf95xeAS+n5Zd+6Fe8ye1/24Orv44d+oA0b9g97fe70KAB8qOfHJOUo50Cblww0Gf5PFf49AzVuEcKmR8JZGsou2SdqSnY3IFjCtAsw3vOFSM7OTKXRxhmTuGjxu+iNP/ziuv9gki3vgQCTHFTQ/PNZrJKfQ8wAWz1xuZtWVqLghNQN+oA6BchR3PqbV/YQJPzEbrP45d6BuPQrcs0M7UJZ2HL/sUaQJ4Bzy2celgf/w328p7qui5Md7ZZp77WSwdAZ3EenKgwszpsJYScCF3nm4K+KwYHvPYb0n09gq+uyfWfkM+50cLnZT+umUOW3PTS7mD97DbftCRgL76uxwd46n0Zzm+tpfjypaca7PH8nMWkPes5Mb68sHjvxaLkauG/gbvezB1Ekenf/eoZgfH+J1DDI9oMb5aTSwHiLOXKrhOd/eH6je3ijY26MGQupnx8D0S4fknhJFgHHglL2A9fpjZfjTkKN3NrhykZWZXAld2ToH/3p/vT/l8gpy3YkSWo9VvMqvlaXi1sFAr6/ySuehOxGRqXGy1yk6wycyLss+BtFjhfzRB5p3z+dWw2cyReRgeZuZ4UWeuCE9ONcXtm0dR1N5p3DiKspdyIT+I+X7m/AU54kGNj66zPXAKOQKwpRoBu/s5ZeOXQ63rUosthVz4pIV/EaHqzqP/Te2JpwXvSOfPqmgxieR7f+PFkf9d9+SZCu3kcdsxW8/56E9y2AAXsCvmIHbmRJRdkqQOGWTMzIyajPfanL1Vylpi0qEPyKHXk0AE64mLAgHXs9dzh3Yk+DdnpORI7QATCWgNwgrAcs4ZCTBO2d7L4WfOg72Dz3cAk8p6sJ/N2praUogF6ZBw+1Pz0pEmn7i+pJGnuVCAo3io+l++n1cOeZ8h2mkh96Bde8bmOHNQZeqxKSNmrq/HEY+o9lkamFkxxPjofALG3XmB4zNgOcQeqGRNqr6HZ/o7Xw9J58/mHEPaYGqjoqklNn7nZeBXxocc+1mPphp+eWPWBbNJHt4dueqOM5ydx/YTsPVKYrJr1q/H0dFXiH0bMItVoP+BGznyMkMgEW1m/0L8blJX0/I1/0DOf5+bk5wtFvCDvF4z+9y1n8AAHkdX3pTFbdzhAUd8l0eJzQZpn1j2aoyWDHzAuu03NbU91tftjPaPgwXXNeibiKWj9NTzwCeyn3Lc+dk7NmRo7zmwANy3thqIODrTRV3+LMBdTmqwzewvW9D2k1ikO/feBw/ZgwVfRiuEZzNjK+Zr088fTKAXZ3psWOYK0BJ19+WlYgOc/t0POx8zUytj/J+cSdBoGwMPLHigUgZPqI5K0yMBGDwdZKeBF0xZHcoQYtzPXWbD53mGUyszTWfwOO7NzObtRiA9c653tTVvQCME/85uOrXjbPnIOpwxPn1XZm0Wv7P1PuogdCqUGO8Zc3b4TOkXfCU56dEHibaRNL44oIuA/1+U0TAuW4WJi2h/yzU5Yu2vZ96+5yC4wDU1p9LMLe9KeH6VM3kV5041yKwaE4/SdsG91hVvT3mcGR/F4Ghh0KZJjDkE6eq/lNUmdTRNp3Dya8deMkcfS6Z3qd16mf3P3+baQLyaOWFpBPhRcNEAB6iHVhzdLyd/bRPT/yLC3mOuXvBKDvmw4MoFfVmAzi76la1JBXxtZ2bXVc7maWZMgr70mhjfYZ0Xufs+d7gvaiSpRFfvzHonG4xmIn3GvI4OieZaJkIAh0STm6JprKLerkEp8Hw7YNDEWdfSckWtKrSUkQph/SRwP8CX5iRfzSx5c5b2r8/3BxJtdeZmlta8yToS1qupl2wX4BHHNEKftfMbZ8BlW87DLcSyPJyROsgINC7bfqYFusIaDMqxd8mgD6A5hyomgtjoSNferiL0nsdh16ucc1vtajP3hSdJ3UP+i1qWB8ZH6u5hkYw01p5k5INFywh5eRHh0qXFZJUuvx6NW+awnc155YlqiK2vx3mUZlb35hRgp+7ImwOA9uN7anybLcgtvfcNeBhUFmAIbe/10L/g3iS3G1gV5QObfb7d9rMeTC2UBF3Y3PLLn1sDmoGY3hnAimpI4lz3L9Aul8rWHV3/eUii9LK98giuEDDA1IykFu+wuwcckt9ihBwdTT+gxFzltB3t9CAC/8WEMvVk7olj0zNTVl0PahXj0llIany6L1tzjS0dYH0H/3oDXYr8rBy8V9olhaQql2hyji6pgD/1nKITcOURM3JTq88quC/lzGMpNOC9FDKcdB3aHbVb4BtLhoWEnKQqabNXaS1PpXlc0X8zW/OzToomhutesTlDbnFANOif5bfes8uW6vLHykcyKNAbNNQtoJ3ZuynVqJ9CcMg15EdF6HKOtaXiKWNx8jC9NSwyHnbkk4r+vb/hnbvEh+sa69jws6QQl/mbX7YfR2f5hOt7MLg3iEHj5ZCrUAVVKO10sL+Nf/kp1p888g6nWCZn4dmlnZi5xAcxJhlh3Ks1ejRR+64lvucIAc6pthbAZXrLokO7ngP9Oq7kebSWj7qTF1XgMGVTZfgf6OqFdskH6xLQOwnmEWbATUruoG8u8AZ0V86saQe5k1di4VWk370Vn8CLWjHoHDD4yXs1nfnehvWZqpX8EGsZsvHqcGEjamtz/vwDcRtkLAHOpSwZJHczV+4AGQJT7Mh8NvvskP8gZl+zJbU5b5Xv3kDgL8bLjeNmB++lSwJYK5QNXoK1Kg5WapTmhjK2MT0+jIXr0U0KFajvs06BM04vw8PMjLes4zsWEEyj+y3vMW7EsuFu4jBQg+/3dRLWQ47XWy3QkHMf8hw39VU/CsEa7/SIndZuujZUNgbNqEBT7B0aPR3Am4UO+MG1zk5xuzOzmBsXpxmsRBZPQx60Tj7q01nrtw9MkJszV6ScPJwLo4/hmvLKTmLitA9BSVE6nnd0IE8BF2ssm4l+OmXWFFSoeTKk97JXaZXfbclQoiga81AzNsqE2OXrxMOXGP7p5ZYjYE1uEuEx4WUxiYZPHXfs/Iy0zEO54fy3ltyc3y/AYxfRmbMcy236ZQfvb18J1MM9kNTpHfgZzLReMsGLWkA+ESpm/f/1ZDU2ypiw96Jja00zC3CflIMqGssLyGCbGKggP44nKmO45kOzoliuSXseAO9HxPPXLLhdLqb1qzZ7t6gVxkeG92ZGoRpTJ3yvZcZ6hFiPj2xMbFhXWRO0GXDLlse6wFZbngv4NHfyqQD+IWzIb3zTuJCrnamEZ1sSBxRs1DrAQbyM+t98AG4+TK5kV9A2Uw+cNHyfw6px7+B+a3x+P+RKCI19yXrtkLXdkY7wKtQoZ6rMA2UDNqY0Ls3M+L3poc9XlebdlwPaaQPx/o3DNjwH/HbumHWiOEshWlLr3x5RwS3joJdkTP+F+NZdPeqdoMimBckgPl/E2maEAzF+zUP62gLO6B88TqUIyKXuk2e6YilBqWDUHkEPBSpKODFe3KCvWd8yQvWbH3YnM1epU3sVeT9Hi3yehUyrflsy1H6wWPuplXTVZV5z+2r6493fPXs+9XJsvzNmc9Aa3Jy1S8eeS5q+ztrgRktlh4Y6aEdzlvbmomeNi7xPjrTnMrXkVDrkO7faBfR1zi3PN+eKsH4Kc8049g8VkhM8z1IYPyLtE3jXn7mNT00nXREtz8YmG7WCfhQJoQz4Xheu/57hYHeCGk/YGfiKf/z1KjUzGiNkHyy7gFwtcm3m6dofpg+ROMmTBf6YDotX2pieQ3zKQf/UI/aMfzHogc/MbWzab1uIEU4K/a4XpcAX/IODgM/yIuv8PBv0YvpSaO9REbQW8DIG73zJLBQBlkHump/w+zHwo7YK1aGhklY9Ag0GfMQmUWNNDigY0KG4aIIvh4zTuy7FkmsIP4tOVbh3+dDGtEOP3MVYuWoxPIgLWRJEIIcmXhUjm6x6Z848OJI73nsBxFNBR7WhRfPkqA05sAu4jg6YsGYWBg3x77MgJnWIjc+2DVwcNJ7xDjXneeeh3eHdNk6pDhqN72JICGBsSliL4TNGPKKUDl5BLA5Zdo4x855iWOSpgPsZOWbMzEs3e45t9+6TkuyPTeNEynBr/H9OjWt8eXqLsxaY4pxmWn/XiC9MkwVyPnBN/0fRhDTFVDbutKsdMksT+4PaHSx+A87aZmJBJ9BqmVZ32Wf/vBYz3l5FhxAfQEvl281ZkBD0uJmRHhEtYY0nJfAIH1vPRx7Dk1113mjZYqqtJt7fSicBPoCpsiEHOqb/K9k0ut+kDK5ao4Wv8u314VKGCjlKlsb6AzTdJte+8ZT5UI7x48U6HfsNtqTxZouY493MGT7oFp4zFPHBYylwnHrdP06iPUrQeFVomzMMU3PvlBQD/qv3GX2cRmquVtUTpp9Et/rMZj+P/3p1xK+EAS4DhwfN+oQ40WZvkQpZgRZKafh8QE6RwLVzwLXhv1mZU3+ijc104+CAS/j/DwmtN87bR5tccbTZNM72lY2Em14/Mkx3+LdhxVVV9vKKg6Rir23VrJBHecJKqn4aq43yUXkHy9ocHZCn4XYPnDj4nUm+4o9z1K8S+Jnk8o29NglB54s/yzm0ZXP582wg1wOW25Cbysye9vAcH6wzHMzg9tPMY/moKNYcmbrJZQc5iza9dcOFNH7mh1IkFzyEm5yrGYvtDTD0PTfQ9EfJRmx/eE8igRA+WJulKQhvKC9zPnnY0gT+PqoKH1ed8XIjuLpsw1M4y9SWc71iPx9BMwM/kq6aQcekDZps5oSPmhnP86R/5y9CyVha2ZoP3p3YwKuH+wtyIGDRHy83fZCR6kSQXEGHETZmhjtPtZVczyF/Vc7XrbanuAGtAzzq2gQYdDbpKyuzIXdvQAM6wPHffP50YotlzvUyG8+Qv0a1u9vAyxgdFhcDruW9l9WOHnPnuQBn+pSA3AqejezbO+TpvC6uz2xVU2ZJoJ/oQUJEIP6A8/FeBszB3f69t7whsc74ur+dxNKpQjo1rPRac4+Jide9zc4stIA70pLdn3jkH1LY3xgpu3bRWrsEcqI61sjMU0bHfJSIxqQ82hDHNvbl2ga0R2+tx88c53jUn1WPR9AiHO45PcUEAs/y/turwcDJrxvsfm1o0JZ0kFTqtgKct2o9FaC1NQv5Dfhgm2ud5hFKYVWZPZgZ8tiajvx9vvzK7MThYTKfwq3HdRJljpqzfr5wYLtlP2ESl6+65xbj7JVR8jj3uMsMjoSezeKvG/Dow5n6c9Ubb3hs8tOpdtVLoNYqhRJ17L/5oRSBLBqkhbKbBQsE6xktjZMcgdPYNNIJ4ACDHEQ5wmW+Gu+Z1DvayKWW8X01Ps/YBu0OehqlFUPceN6w8GuhwIxqy4ZnvX/nZUlWPwKdtc9+9+l5XvVqyZxtYbyCCZ/KKgbOGGMH8MvjIznhCM25xnNlkbBk21xGmp+Etyv1VJW8vaei1YZfpoJXedw7FZvf84nu7Hc2jfRZgVNTZ2/qCbLCX2rG5dFq7TO7e0e3dA+rn+WQ/yBeKx56qexSM9vhnvbeA7T/tWaWBdezyEi+UkdOEvgr7zFcv/2OeQH3sKGalHDNvfFLpwP/JL+6fqry3j5Uzmx8Uve56ZkV6lY5aqwdL65c0OyQ0yVjS0rJ+ntWLJIriHImAqWzMYR451cVbt91DuwM+MLiFLijZclQh3WQ7LGZq0kT44/mwiXfUqEYMXMpNT82dhsoRx1VxMc00AEJsrWB6D2Z/hvUbMoOEwUaCbjkNWU2q0Bj/v9nvizQM+j+07lPwuNrXoGH+WZuLkVqp6LelXH/oHG/UfTv67AmdsayG4+nivT2NS3wzF0diPC5ZAWOYN3/gEJmgGHp7x6FsN8eXCTVbXSOJOCHhjzHRUp9U3N7NXMFKgdvMvrlSEFGWBukZoud68b0Qy9s1UfQcS8VzQ9isRdwJFgjwE8YvCszK8+5w3OaTf/PO1di459jagJLq814J/eCJZKGXNbi/iLDtoX1tjbAsc9mNhNrY9bx6gyaurYAxnezz0d1N7MqmXu1CHwOcNsnxHaWCn0AJXCRPXnPr8QV0xhr0PyDmZXR2jWzf0qbWQL9vREKWTXcxqCvMfDSUWp8rCyvqiJYTMZXP9C98bulTuPQNXuRKOlVJKNs9X3jp5Wxuc1XXb3xMHXwenAm4+1pzh5sxb4W4E+z0XLACceatQvrJScRaNtCPdJonnLQhgd78vNiujVWUtarng42MZ6zECV/TQ/ZQwpTQwJKsG/ffnqggUhZW3gCPvOJEcawRng2JAc2aiRYCbp1uYMuYTgiPOcS7tVPIIffz2PylH1o9CQHBgHanfDSIqAXrCWNbAc453cT6CPwpjce0opzcUJTpMTd4HYPPDQx/ualgOxRJOb81oIYDc8d4IvxqBeg7ZxkKIfE1HkEoEOfwJPvhOND7djW0U5ekEOnDDgeaLtTNmz/7R9ye79hWvXALVg+yJBz7p+5HqXrP0rR/nriZo6pr9j+sO6vrQA0aMdPcpiuGeAYZ1sLOzIzg6woVX1K1Qm05edZ+5lAnGP3+j7zXeoYY8hvG+V+vVLeSlZMewhcG7vtHrRVgrv2h2l/1yAyCgG5wLFt4KJSDncbeO+nQP4MXGljequURXxlefCc+cAjEgEv2DS8fJ+bv3C0DU7C9Gp7XRVr4OlsLV/zqwINYvoWzTzDM0o60beAp8uvTwINgGNaHhG9PaRF8lOvvja9n6CRfNqb+UjkpIrMg8Vj1v77jGM58Xaph20His/MBdzXwMWVqcEQyQuvvKoCtgEMsEqHPShvteylrKm6s9fd+HwtZ7G5wTP4gCeBG0uaWYtX4OWJtPWnLLiXinev9H1zjuGaAKPk6v8QpDNiIXJCwLsKZpnTktpJH0cLx9Xwx6Hdl8tdnJ1iBO8h8Zhj+iztB7z/kUbyWIfL9ynEL86Wnrkyww4//d+8G9O7MmVs92dzQuVyjtudiORwChKR6q9H6SxlNU7P2lELi7wR1tWzZOpbMdkCTz5kHN6oAMU04Bl0QyVCLxf5djlFylOjLM9ws+kg32fZpq/UORc4zBg6KYovB0ceS7q35G++g8/Q7fUULoxGxjeDf4OEeck1mUUE+jfCLxpOe+CqXEUtIqh16y6xVTy5xv8A1seORf88Wids7d00nD/TiBxK3ZbnDrCak1Otfz2Tk7yX5oxKpiPwh4IUJ/FcUyG5KDA5I+NxPN3SgpeA76vsl11atF3T+cbb38r41wPb5L0PQOu11fXYO2l/d+vd3GK2VDS/P86jnoDDdaYnJhd79zx4+lQ01pmiAYec4GLqAUongRTgHxqAb29yB8HzJS2JeMDZZFXGn/Ayv/uXb5j7wKuSwtS8VsN+NfMT0pW8FFJmPqqTOtt9hSYKWvmzgpzCzcx2l6fG/xi7si0HeUmtFtIxPJNhKk60nTg86zyQV7GDz9L/eugouWyng9MmIkS7dIS3jLJFuvrU2HKlofZpFy6ARRx0pPFgxan15dDezNQgH6RokYyTMI+vC+4llnF7Ay1Kz/nMBWuvWNgX4Jvv/PXNxnRtHPuHh5ODXT8UI6nKEWtRIBd0QCst9Zmj1K0YvnFHEeAuBejb4OAmwEftl+LtpjLXNxjfAsB4xzvAu8W5Yw9yBbyMlnd974Ve5rW0QdVqRJRAd8DEn5pNK4jr2+/0jHDbMdTafP3rmH6BdAyXypIJc/oN5zrOhnY8gnZNxW89VMJ08l2OZALNfK0G9cOF/T53MB53pRLNqyzQM+s3Tm6T78yZEaPJLWMK1/EE3I24Kpp2lQAO2gN36r2XCr2H1L6VR15fOQuD/P+NGXkSa/sNHNOF2Ix5j+S5/zeXMxAjaNgBPzIX1o8moJGSXmj1bIQ2+zhGW6+stzXoJTNX9FXbPkqNBwkPn7TPVjFArjdzfizgWUz/KEFyeL8Ud3rNBVkOVvPGXptHy6fxzMpGKSCu8iqUqF7R76ztc/B7poEhJ0u4pidwzE8eNRazlooxfcqon2U96JQw8XMb3YlOroLNU8Mgn8dkf3S2AeNvjn1/0GibM+P1gTArx/JVrjim43Q5F2Z9lRtqzSlo0zQV+9cJcPbEQicf2ks5mlrhJFGssauwPYlhGnCf+HLcOwfXnyBHHIF3WDkn7/W1EGY9D7a6yRE0eqAzFYBe4EkEHDhWnfFQSZx0/XpUlEx5B8+XEohXfDvzL1fks5WxaZQgcGD15jxIV9B/+7RTwDOmTW4twIHat/8hYKn95G7oZquOmx7NoBqz3JxfUs3N7GwJOq+yzXmBnaQdN70AIg1IJDtyq7SZyOg/iPZdyPdWY3lmdizKxRQzPsUUtBGn/2ab8hRyPGgz/usrFjAbxM+hGr42R3eyTW0K5EctYtye2WJmWRCizflQ+awHm8NzlqVlxyqyP+B9OkKQz5PQbskT2/R2ZoOdUpAg/3ivtX8a7BQCsDNKcsBeRLm20rgNhIAs7Sgz4+OWDcb/+ld/Gw8UBBzjznnSpkVplSsAS0BS+ZovkNN8GW3Nuf5KLRXUzvLud4gzq1lKzXdV7x3N2RmD70jjG2FzerTlpzC+3IO1gnI9VaO2TgWxREh06SRmTiHOCh2aGcrMTBCztsAlltspwGYPDKR6kkMeffPeGXhFdg45gvxwPHfyRfV+U8d8Pbjhyp3yxYFzpqP6Uc4y8d38AA2YwJp+gka6NyKxzexEeLXMVMQqO1wg11mAp5np0Tb1g6znb/8NfAptS/XzCXOMD+acPuRPYEEBYxm8q/2z0eheDXZXUcmlJrvaMbUR29vBWbSy1LW0FD6DrqSW3iieGV6eyngPGlaKEvIEjf3g31oep4UNykqRHrnFEenwXoUt6MjUg/e4p8DpU/u6kH5zo0W6ECuB52u8asmdQN5ibrNCHAbAhwngNawrDfwUrZkFK4b2D47+eYv5JJw6ddne68Av8SAPysakEnMog/bH1Iw3LrdAJ3oM4UWE+JYGX7C21CdDPuRmfj+zzeus92699h7kYacB3GTd/gY8E3QbeVarfNctf5NR9aAVXs2Y2Hlozzz8899slv/VsTKRPcqidY6g58s19OqVa+qYQVET4rH6AE2ZQQz1Kvg9y7qkOnmWXP+cILfLYuoOzj+vxamx+dQUBO6VZOYsgfZ/3PKyBYWIEPDsE3aRDXwwadbyeWLbHxK1mxN8vpl/cHR7pym4mZVEMl0umPKDmQUidfggYbPK8fpo4un9WZ1CX14aJs9K+8fcVQPkgXsaXV0SA0MM29a48NIVV5InE1vxj2JeStykqIsvt37N44mVgCXKrPBDBVqU2ugns/AeB8nd+O3Vwb+zgLJxJeCM8SDBk7RbnTMZAae5KtGKvCBe4xLnfNmmhLEncBuIteRQRVud7+YONE+Ygg6V8TTnEejbLlsrh5SKw7sP0JBZpKNh8p4R70hrOlWgYag1xUL8cbOueVYMCRpBLg9a9xQnx8zdwx3fn9KZPWpLD3jcqYkTnPUcp/10o0Lfc4c8ct6yZmililMvY8kLck9Btfq3vhpNTN36AfLfhQ3pUqNkJwL0BL4cqHDiuQW5O7SHZlX+uUO6ClAEummsLD6riAzMWVZTl8TY1iEd+YYMPp8HPgNu5Ep4+9L9+z5D/D5Yas1Zsm+AcxGqda0TV/bt7mR0dcE8BrjKdts7i2WmRm7jQS/nonwo++/jDBhBA+YdLc/MFPDh76fazDVjk288vUr+dyOLd83S/YEj0DSDZwPnzJs13UBOduToY3ox/ZD2LNk2qEIcHe2JqUgfOcQGRi0j3PS0tJq6GvTHdDX1oRVN13TNXAl5rA7vrzOVl6z717MPXBMPyuRtayE4Rg7o6aHpvU/gh8dKm15Y8pIRXpp+qgRv7CayL8C/T6kgkvfzk7O7B9y+zx1d1AJtCGAVYBjPHFmmtF9Ltjj/eFSIkl9/NcejdfTndbDaj5wDT2d6KYFfwRqzDna4pky6KmxMj8fSaB3gfqIQK6Bl0SdgkluLpDfXqCADgL5qq2GyqMueTfGv53GlKLTOXZtmFjJ9urPxXpG2EsLMsQXs4T1xIOdWaeTBO+AaYnCuLNUCzw1wrO06AH0dJiHw3HvFtjkZSCgdnNZ920v4Xjmit/56NWhaiTMFZjqSCreCGK7XKZY5Zg5u+qxpthBeOhRNP9y6Qgb//fkNARzHw2blq/qmVugQG2ArgpjoZ8hhW8ADe2ZmjzNW795bN+1Mzw7KieaXzNS+Aq9lLrpxCjEdJD8ZW1rTW6WQBORsO8AV3kRkJd3fRy2IeRafpvcCu6o3eG389is2xbnYbkDDOdJGb9+5XcZ4IHrvSofGAT5xlQL0ovCep4hc80idcmdrOvF4HUtHdnhId8bHcSvxmj4qa3sTPb9Qa0k4iELzHNOitzCDdYiazWEF3qvfs9Tn7Lj6bvraOpL2bgU6R42lnUaLPtrJXA7k2VDFmOl75r97N8D7vzaYo/JgfT2OLlvPPTP7j5a8bG0iZKf016KAT8ogXFLL/jnH75nj95uypGwGO0xt4P2O8RjgFrvMsYq1zPrsqVZiAV/CIixvPNJ+jf4+JCNdyX0XNOv9HOkWdNqjEThNe2RXqB2NxiIasbPQHR2WN0YRwBUH8IemsTYeVxVopl+/jSZCso5ss197IqF6AL/xUscbqgFdsI0eGeSn2mqxZF5FemxmYQA/WH54ATQsnHkT/gGeu/1IY/SeA75UAdkINB0pm9NT0VpGj9QF/qxoY0lTX2HZQN39Ulmtz/ukyKPrU+h2Ki0v58zORNFemcUr3tvGE46RQl2bwVtrR3ERKavpybu3/aOkwIECNZcd+agGclGd/KTo65FHk5lN6PG1lbD2zTy7a+Vsi8bhBWDzD3AevwQeq+K9DTHzrN0pP8VtL0Zkn0E7c62LvPgL6/n/zpdPzD7CdUlpcVfpdqiH7YaE2XKwuVs594WOnEKsLPCMy6zfVqeIk7NYxlSjXQlay9SHpJq01ElyZvaZ48QFzR6YM6RTAGufyvc+m5OKVvIxuaY8CWVuZnjLH9YBBrh4UlTSUkgGuHBqIhnyfmuXNIFr9k9w/Zca8QI4ZQGaeFeHWyQ16BXWWqzANjP7t51KZZG851Zs0vHq5K4uUtQi0HkHFc2Q81uHo79rw/g9pcypeFs2HXLyAJnZtacy3w4q1Je6UDRfOWVjY2bdjsxWOQmTkodbnzLi0MiGLPT37Ud0M17zqgMeGPBL1TVuM+KNijyPxOkGUN2BtX2nr22Q9UkAcfKqYvUoX3PA++tadZklhJQqVDcO7/i4lstJWI6MuC0iYhvPz5KRf+urYcBme+C58eQBWd7hEGkyNs8GPvsUfrnVSDzAgYnBusIB+T53gC/WdKeifSrjW2LqEEeZ15FeKFVmViIFHgLrHmck3yLet+8z+gzyAVVR6p0pP0m3TSlg4tFBrYzm6Kz9B49sUcdsZcNmEXz6hn9ry1j6VLc/6YpEyTFPrRZ0AunPgfROHPI86L4aroCLpcdh++4NvGcFcHQ9AfduIRfxGbDoWsVfXm36LNnd9A9dzUwl5YbwnNoSFJDbGO9bZwt6r4XYUogWvltbd1hL6Jb2PAeePcoYBylvXQxY8a5N5YPlCIgP4NY9texjzlrOBQeM0Q+QpjfgT7dqmN2cTQtwZpEBsted8pu4TXLAAVmUT7n7AzojXE9cuqIHzsBQhR2473DOTc/Q/z5LCy7bZsBVU8DaC6/AU5g5w0ScyYBaicgs/Tgh8nGO1ZUE3Kk7rusOEVCvRWZ0SSAPsKZD5pLPKlwIucwTNfVIna/pgH3I9//Ov0wfx7mYNqBgbrwv13qcPjia0ryfouPKvToy9Z3PG4U1UPeTPDrSraJyLR0OwkRFebgcacGzPEhvPDZnpTpOKS5MbXXtot7M53733XDQHbmtv5to45CAhNgx9fQY9IocTjEKzZrINZa12aOjreahZXos3XPfL4run9L960AUQ94mkxwmng6anFlygDz+qFwfA29/Y5Sg+fyjhuSVr+2a03bCMU6FACx39XfuPG2mZcE7BBxKiXr48sjol3JEXQn5W7q4VxSPdGyJOcvMKe+a4Q661E8rWIG0CBd4Ru/a76WxyYdyZk7sRDJWepDfUu5AznjNxls4k1Y7lmvyyjrmpmxq6aCesp9+shWFvEvC0vhrO/aejeiIIfvRaErMLGK2oj4vtKi75N1P1NXCrko3+aEUNC79r3YjtfEhjbGoRsBQpE09xhFb2BVxD++kjQ3nhmfknsMZnoE6MvY7P8z4RvOU2Tcl9POwkk3Jk+EcWe+YD2rLrkCT7oiFdngE3A2TR6qnIwYew+IvSznqClzlVoqnc7S/XqKXiwzNPAYfrvvX7+YgxvBF6V8HcugCHOlRB6396yVp//r8vGvngpOZyc6nQ+76HY73K+gN2hhvIe5vxDB1eYgI8BG4PpkfLeBRTvOqIRAasRR48IqSokLQPTDKCb5v/DeSiJlasp5gFv2xa/F8x+EmE2ZmoLUArlpnhI+SLQfSKwlcIYccOYIe/a5Cnkg7vEnRPzMTG8MU0LXxeDHp1G1bZulvwvh81pMDWGzhtXkA39mcdrOXuvL9DJ3Sgd+8ckf09iV3Mgty58l4StYBKFItR6F12EBcsF//VLk59whDnLXwfMxM+KTs9JUUX14FHJH17W8dcyaIzgP8CXz8dw7QWxPl+ZyddnfH+MxTdF2NL086LHs8lA7g8usstoQWpm9qujcOno23Mxns9hTtN/D7c2zJI3YnogQ5Gi9HzuXYMPRksE5pHy61/eZscy6t7QS64CqRKkSHTqJQrBTaTQX/TLmZN4zt395214+aIrOqof3kcC8iXMy5/Fpz/uKOpsDzbzXH3jnCFcTZWA2bF8RABu//PY/+8F8t1eyV4sslAvg312M5eAvkhDgbwg11JSejlnnfXljQjnTNrKw3PufpzfTfy5BE58Lv5cv0FV+fMpw2gDlXbtmHatQe4dPbY3wgEQZ1llxKs3el90/igmoINasZ/mZWkmSid87DHTi+Bk0pR8AfP7M4SkN5owPkwvHvS1p/ltzUwSPknwMUAsfbgzbDuWXL0k7e55UTcRSG5z5BnroBjzzUq3TSGPJ9oJyK+vv8cn/lETf5usKRTDK2PbA+SUEnXXPHjlPgnlkB+OZgTIaJibh8HiztVQyjCrQwdZZ3X5t9XNWN0matmAUcbYZ8rIJzkN0yMR3zMQnq0MxeSSLQIx2jf59Vrw750K/KUmNVJNeqkC/Q8C6sj77ukemLyCHnHmsAQubopOHqX52DdPk3H/lQdwzWvLTYiO+gKUEzbgNpgYYCXVr2ekOYNue994aZ89XkLgGPAb9+ezFKy1ShopkUOD8JbAFWBZBvHhz543n45/UR5KI12G/OSHfVkHjmzEdB/iiLpPudP/zaZsYf54SwmfQnDw4DnoQmeE6RKpJH6aIM8NjnNs4oSBP4uWc+yApy+AP46aUZ0XufDXIbc+r8z4rX/kFH+QLO9ilQAlzUt5nx3bbamygQAuxL4Z5bpfGmzO8eH6bk4JSW8Q4BzqhT+CD8P09XttseTuxrSe22S8Ps7Y/9PI/4wlD7OkXJ3sz6yzpSmp6RU2HOSNBLGj+goa1wwAG7WuNrm7MO+6Xz5RnOhmnq5rutWxa8zWPi5FH/5DEqQXuaGQd7yf7Vz98lTcLMmeZz3Ia0gJ8FvY07+VGO0geubueCh2mwf1a2D0g2bxoHdeo1A9/ZP2hgplTOH6pfPmhBeuCgXirYDdacVY6gXwYNefutU+6b0rrfcoffWA58YAxdWEeO0iSjzh/LYKfZs1MjfnJdgk40vSjp48w82YxyrXTmngdOgIuu5eWPlb1gnXFclZQcQS8X2fDnScP+7WHypKs2dax9Y81OFf1xqwL9VMOWpON0gPV4FSiEtQzaPNh7Ff3apNF2lVoHHGGvtkkk8vmbFL3bMFWpwI9yrj3jHlkXzIY8fmRCvc/agFtKAmsFsi4J0r4l0prtdJU53H9UuzgFXWN8TX0xTk8caIqdpct/vSPwD2i0XKHJSYe5rYXcAE//YJww0z8F11fJsT0yqt86ZalAVGav7cLD8iXzLWhyQCDT+ysWW9kaV8I75TEvje4H7fXN4Ub/V/9GQEPdqjW9YTd8ZYWEtbgHEbpowHmcj8R4Yhkv4vH9vmTUuEYXnIIvj8dJX9LSxqJdfnvnOhk2NLlRTvjBnPn3nFYOaHZn0Sw2fuGA90NqgebzM9qWldHna2qfafJRCrypw+SQdfI91+wldWOBlqIq32ZVPm+IAG6qEwnPbMf5daWBX3KUlPB9n7uyqJl3lbF/ybu/TmlPGXAoeopkdA4ncw4154MNuMmMJ6WpXxr+v3lth4zZYUaJR8WUZpf7Q0R/XuVAXgS4N4uTjiLUnXdzVcXJhFEyVbb2mtHHyiIkZ9wCPAQesTVz3ECva55xfKtNX2sBsSzI99H5V7PkYbFE8G+Sg+XtuY02uTPFVfz3WfLmUVv8CrGdAL8CTTDdsPa7o7uHv/vlwd9V0JtzqT2JvtZsbT+UzXMJXKZyw6UcYe31Xgxr4l2LVUnmxc1IzKyerGKzp8RyZw7ioIUjbnmCFpNPe/tIBhyr3jvA9xPAnU0eaeAuW1a6imOqr5LjFT7TcO2TKnoH7u2ROTqivXyf6x1rZwb91Yp8WHgalk8aIIFHJEQHWkx4M8SHNp6mwEGeNZ9iKZIfXEz3w2sbVvB0mLW9m/r7fJiBnIN+zbcO5O+eav2shi+LW1/vvcrb0SUHM1OydvQtX3VZC3I3PRlkNDXq6t5EoZNe5rRi2mHx1cx5aQlSgGGtw0Kcg04JqZkRyDDoTbIHrnoUQbiRoCrPZj8x9t+ehA/qllYl4F1yuWNmdnDPFuPfALmMcQ2qj3k5rEcb3uMjjUFX9q3fBOnCHcAux07OSAnJnm7OJzNTvgPu6AIR/W9Op6l3guf8b793xB+V0KmyQqOv7DP8chq0IWj4ffOa2XlAF4I0P1r3jYq2Y6PVo+Z76yT4Hbgr/OzMQfcknIcvGQAvHFrIPzjOIEdLsRW5s32f6x2YeG4U0xGL9J4O08gDiUW4XXH0NHN8d/mwXShbqLJ7jwfowIDbsbW1zgLvlN3uBO03wN98Vfx1s8vMqNU/2Uq8o/13Q+0Jp7DW3zoF8gsyvXLczHLspelp6MmaejIIrbr/slKNP2AtyDzce3U+DzyWFxVZC3DTLEXNwiLlQ6wWoGWrXPsvKRbvbE5NQjuHpzxBTnzPhlsb3gPOkZuMWlRrFajRf53j3kkDcj8FKkvH7HW0pkdD/ZNA6Gm8pnI9XSqtL7VoT+Vl+zo48nqwEJI2PwDOH7GerplTPnNTw6vRe3/Dq4vkZnpB0jF81lSXDeQ6zpROtVwYmkoWl246kqqxvBcZiZmbMORREple+cyeWBN6nxC3Y23mjxRtROz+WSGV1AWKpBM+8Yj1+7POWg3cxXbdYQfezSdj0gY9GNSuvog4yUHbi8z4IIdT0QQkN30WOQLsCk1/bWlmmZWl+N8ebc8X6Uw0tYnpU7gxgfcQQ+9a/Qr4SsFHBNeJc8B0UrryE+L0ARkdceB4eGhvpGif8ACrFNYUBdAH/d0rB73YmBzPGi9nynMRPUFrkR/j1SkGxEvgQWWB2mog/+qWme0HZ7PuRIKPzmLmU98Y/QJuYQd45R+56ece2kc2wHVY+FGy+Zk58KzC3mniZJNbXpv2CYN3x4hFnCr4cqrOH/MROVXvQVaa3usrkj2+nzu04b3+OLj6fnSxzqz5ytn8OnfMbmL8MLO65GWbYYonhrSpCfXkQI6K7W9VKAWO2+gUoQW0HPAQHGI3Ac7iXwVXUTU8/80NzKzwcXDwne1mbM7pzv0EChce6G47cbFfU3gG0k060PPWuZi6M9sAH9x+1oEyM9ymM+RmZi2RYNOBhVOZOfwOuucFfNsi0bQC537rSliK7bd07LQ0fYCxmZWALT5KYM2tiyGqFC/N/v0qxd5NV3ivoXzUYeodX3OnBqxZ6FnEmu7GZ0ACppzE/sUCRRhTIeWyl65+n7XlgC8fOXDTU6hOR7hi0EaG630IwUdseTtTq5xqzYgzjaRPLsChRrOXc1h702v+IyIpgWNtpP5aU1cdT8UXrKHJePiB1mwj7Lz7EO9OHbVP+LtbWuglRfwDr+Gzcr4ecN24dHAGnKqDPG2nXdvyolzTGP5sJwXwHCH61pWjhNzd7mS/ZMpC+wzuF7R3R4WuQEOMqXjPypwvsjN7PL7JUYdzNF9qKj+BjTgynhjt/9hH1/d53Po5Y17a2zilWEghbSq+nLzvb02og6ONEzomK430j7JBK1t2xxlwxwjydvevrnKmbI4hXx4yF11ooU4n1GLQ+h7k3xG0F+dC/0AuobkjO6ZBV3Bc5GaGfecX0uJHHE0uZK85K8g11ehbmjnqdvtKd5DzkH41/H3mO7enQn+Uto5FtFkVw87RBWy9zAW1/tyw0zyAXw+M+7k0M/cgK9MhdGQIHMn4OlnN89wnk6lDrSzjmby/HR3p5B0fIC8RufsDvAfztyZS8RSQFWLc5VPttha/mLmyGLQKMh4GWe3IJdWGbYTucZVHeFc98ItfP2UW8Uu6Ekil0pGAg8wNvXIw58ToyHt0IiOXJ/72kZ4tOpITd9mTr6jM7elZ2jwSY+pRF18ytwG+n74aR7sUJYJYOm/Y1vjQ/WDgd4oqLWnjybX9BD7OMJv7BhFRxZjB8zxJU68CXPHNbbCFu8b2TxmXQ8VkryJMc4t0dbTkYsCQf5exdPUe3oelkIbfI8ty5CfRE9oU+w08oZIYHtTjDWghanyWAc8lDzVhjt0C1/uXl2nsb7IRZ8T0dlleKLSPT4JgyvmkVgS8Q18yDtQ8spfS1HQW/omvCVwjh3Un49xNHpWeBr62PhVb68wT4/PZ0k5+guZFlZjeXHQDOLMaP7xsIF4atDboOpc7KCq5Ar4G/1R4IuXS9HDAf9g2PogC0jTv1KW2ZJ8NaOVUmufKmdO/TkwNzEVFzpOFOtuldpP3M7Qbbbx+8cI7fw85mzegPxqqRe0SATq0OBXZS9HsxQvsmBnNnOKXiP3OcISstw8q9Hpi2Vblpg4rphiwETjg/GzM3pyrPqWF3303flb4AcTNFXK1yBHbpL2OZEFQZvsUI8h9bvugobWeqY6NNxLwXOONtEtpCTz6P28kiPmfZoAcxDKrCu9uxuRVMfVJx/5p5ry894iA25eya3/+q1fDw8FZUtn/WVJHPiWVIo+TUup+I1lp05Gv7DKjOtyG2Ma7ylEB4PSGahzlvQY9ereEAE2FQu/o6hC0rUP5339zitXlj6mBa2kBWKG/Xk3XW8Bly5q2tuwIqmyeiAJVmTv5BP31UqvtjAcvG1v/3OtNphMP1skV3t0dA26zcJngv88zrJsUFCbu/p1Xutia12bwrApNH5TZo+kjZ0MSCeDu5xib3tgrsOAjZvomqA9kZ4qIQE9qmbPQaV+7fCMKfwYsXhvxtapeV78ehXGyU2Nvndi/vZQ8dfTuHEob+MGmoqCdY0XOIXJzhq71YL0yyC2gY/3ShfuOEwt49Ax4GAE2dsDBIVCRrIDblKC3jBe/oqho3MlSbGveTdfQ8s1FV8k2G1hvjxq4csU46ALQHH2SZsOEOELfzNFtHs173hPJRgQ5zPh7yR1oeI+LbVuJ1saW9rKe7xokadorWK8S82HjGH+Cc6Dfa9nwhR0VbUps4yHx5/nrz8TlphzNesMHQY0ngX1tRPKp7MzLgC9kA3DVLrtlq+l1XlzOE8ZYEmRUD7kDmFJM/RmeIfwOodiff2eIWb41NQU/2OUVYXhqIi/gl/loett5tDyr13zHWn0CTlil/dc+dzqnRUsoAlVv7d1Sy8R4GbAAtFNuZqq2tzpSK9OhmbH5KO1/vvob6qabU8G/ianlcXHHQO/Az2SZkKUs9El0vul7Nt4+L6IT4/c+Hiw5Vs7VxcZXavcHtE3v4UClediC5pPpEfD1+No+JLNLgfS7L4Cdd3fgiKULeveSAmfFaPIIhz9bXlkP+gFcLSZmPwMRM5/B5maWDk0fWccrGclvxSyr+q0pVroUXseiL/fE/cn00JasvVZd+N6r/OG9FCdeemJYHG77YRVkmzOQo4PBUofrw5rZB1eaWQTa7HkcnWlK7fJBLOuhAuYBNwwBARfIbZEQ8hsP00osmbK+ccqVD7AG3j5LP0rwzWFVB8jPJ+lsN+kgwwx+FqMkBsx4APna1GyrK+BzR8faUKsN/5uPKH9IlDA+ftmgm8Im5v6JzXezr3a0Qq+xp1M2zCsb33OlZws4F2R2+V1FX//NShIJa6L7Wq7G+4vkLM5epwhXwJl4CjF5dJLrcVWAXfqHhAi0/nTNe/kSYaJrsQV8aUHz7lcG+bIq4H3A1/99VlhZOpFhaWZsnSTyvZSrTQUEpr7MM+j+nQCtlY3ks+kX4x12A6JmVb3xV5yWVJAE8A5wY+pyJnUd4oVy9J05i4N79BCDFqCX3hhVQf7tRcxLLqZT2oUbYvoX3fab9V7I+3YDepmm3Id1vlxyzYszn1Kuk4EFWlZ8yuqehzjGrQJulrkyN/XIoB122fp3EV1mQf785wNz7iCmRnY75bOH7emSgxYvjY/1wLNTsH8ogU7Ae5wzKx9lcbXlsCWUtwVz8BOvuIT7j2nXe6fobs4UNzU1s3hxi4dEyFF5oOPe9YeJGtuMa/8jteCeBsUaS1ay+Puoh816cJiZsyqwu3exk8y4yzw+oAm02pGvodNA9sptDbkxsyAP7KoIYaAOR2lrs3fpV879dQLO8K7faHrvo+nvDrGSATTakxdfC3wVTc8W0K6iEnZ5LkBHOGQ8R9mCXcj749fSALcjgwa9O895kPzUXF0IJ3c64mMz9I9zJFFdZLYM3566s39GKDJ+TDjeb2iPXAJ8GzjBhptZw7w9sBXvgV5reDefOZUDaMAIYjLhke4ImyHHcJqZAl/Hu/O+3JwLBDlqS0Sn/6sjC713z6OZY+uYOlDFbA9r4gmUreWAAjUABl3mTIV3m8XoeXBsixZJ3BT4BJ9LACcqjvR3Y6PUzOhKefuZrb3pz+nqsRWcJaS2JsIs/vbF+gb+us9XqaVhQ05jNTbBpJ9nCPsJeDqitLfOyAdu4e8au9w0v/NI5EIHslCrgfzxq0W+uXX30kgPjfarJpSLCgi8zfZYj/88qyczN+p/3jeXpscmC9yki5aGgmJ9bb+VVnf46oiC3NLh+ixZ8juXU3Whq/KtdaLIbgB30mEqxWV28Ah53fiUDMnE+iTLOvL+LDPjiTELM2pxL+t8KW05mZ7mmvsJ4epbMK7PkXpISx8yBvEXEJfm8y0XbdlYeGQdGYguPcjTGWfeSv4fU+fa5CavtOu/hMBMxR+DQdjYyIPQAfQNkCsMCIaxGRvz63drnuV5d9XKepJUEmOk7r5uqQ+gHSREGyUCUv3MwySvXOKDDJMoxf8WamiU9p+gt0QJzOfkSNg7OSmlnhmsB49s3bSdt0lOadye2IpBI0zHekwmbQ7AFcvIB/MsXZ1lDqY5KGEhcNLg389iareNbK+Zyx5/yz12RITbZrc9l6A5xIht7zQP4v3c2FwuuWBgmRS0o09WjBRvfcJvTu7SFrRwCzzONfBLE+sJdHB+CQUHPfU6P4zsTMKsMN/5x7xcIsqpmZRA6sq8f4/Kmyrbr6G294Rx4rJ+m9F8fksH0CGuEhdDj3mH39VufhdAZJZ9M2nzYgX46ezJC1PIIvm/2VXxAi/aeBW8YR23Du8VbezcsjjJz5xG4Dw/2KiA1wRwb2v7awZ0Pz0vUfLN4F2LiG+yLjnpmC9nQSkbVHgWyRF80GfucAT6+qWXd/mAlHbnna2xKMeW8ZG8V2Nm7+ELYP2P+mPraVza+cJr5QoJOufBC9gNQnsVB40ip74Zkkxxca9R0hHQguArke0dShy+4Qi/7OvUMIFyLjwRTTnEoUnIJICYEYGOkqANHtSZRuCOu8aND8wR6H0AeuDPSqSISbzd2VkRsN4Y1uVZuxH4DH2mRrSXorTxNgQGeJ2lDHlH80yaE+m3pxJNtv/ukw4p2DR5gIb0MtZOsKfuQrTS5lFXRXJsuEhLeBdVT4KSJedynJh+bkM7X4rEc6+jJOSge8hujgF7XnwIX4mEGUf9Bev45857FYh4CXCvYJSLUBh1+28m7kL14CsdlbAHgkSAz+ee8WsIdLqfTFmIKx+o7Y+5SWXr0cjsRHhwU/nnxb0fJ0+v6Uow6HDYN+R2REGaA5+kpiVkT+1ccP/M4X8xeMsIBypaHiD39jbG5O6MKfeHs9zOpG/f0lAZ2fuSxOXzMvTLJeSIG/HKaU/Bj2/sLKvjyr3Lx+1aF+WDYuxd5HzWvd82QsW8f2xSfNhIg3dSCth/YKtj8iRe29d4KkRHvs72DtGYn3qgn3n00uc6TNdKvOYTzQMVBIPfDX7ONTEwtMABx6kDDFHIcSp/7tbiySGwbhw4nEcmuYyfNpcoBdv9At8O7GiAz/5dZWgrEZYIOBqUhQG/97iTGL1ye3yN+yt32uUyqizvt3M+8o2K6crW4G5z4XiIBV3heTmKRJQUNm8d+Loiu61bD75h62FJmdml0mcn4Emx52vqJZOwtRpR4ilEX/eVJ43MChrQr9yWAmPfGrndyHjjXXqV/DcTbTpUw7+16tq18UAzwv/nodqd1tYDLd+D/YInap/048/jzEkLOmPlDlJpJMCvRY7tA/2KKaAP1gtfVuBxVvIlPDoiKK3256pjhc2r2Joa0ekcwaqGwqtBgxDuM1Y0Nlfqlgoq8rGdL7F5h7jpavC9ajTfWWfPy+ENgS/932eNDTc4BfsXHmgDWGdtsOLuNKexs4p+yxuW2L4Lu6ygEnTqncIelSzhCk8od1QvTLqhkZ9detyCJgF/piUwW8rdPyjjhjYe/50lUYUHxK2t4OSsuSrh+y+NC/wJPH58bn072yfzksHOTNFx0tehfq8804FmezLwoKmzgDbUZQ2vLfemt3O0bYF5DwLTt5OzWeGzX7kiJWiBkHb6S4fm2azZE5gpgDVNgYyTo7tA0LZ9gJewNuK9BK3EsQltnhDonkez2lpdPIv1gOoYnjXazk1HptNablSEbqADQy5++zo6tYjWsgdydTHVBV5qjpesSEoV0YetW2mkUDyesrxLOogxPz21IOZP5Gc2M31na/SkKwZVbYwYe8SjDQLu6fJI5+nPbK3kpYk+KSOW2eI0nheBtC/jNm1wavmFiD5aYDntBGk388w1c82SgsWCPQ8iErEeEw/WZCCDnbmS4GaPY4jDH6W0ex2/wVrfOAte/QGSI8RTIfVXyee3iuF3YBI7530qXX9vc6Ka/QEdUTvXxV+rp4zq4TO5uVkGysFO8rC/81C9V3Z+E99+Nf2MtJ0piPGm7ue+Bh/+2vOVZaDQBGnsF1Uk8nQfHC9Fg7SngAHpTojgq/T6Rw7+BdgjzTk6sN72PgUW6egzHRZFXedRm+yR8URav07tjJlVvzFheD0sL78xVBh+VwhgZ7pe+tum4nNaMWpnqoWXQrts35L/ZnOqsOHltTTTs94HH3WvEGiJJ/dAT/S2d5AOFRJhg5KJCZqzsQGmIh+619MrV0S4/x46/OtU8Z9FeyDoR9jdTgmaAXivSxy9t+fXi73zs/3mN2CbG9CzqA7/Xuu9HsEHnhkiEHsI2Kiq5LBNJBYdsMtOxMAEPXppB0k74qp9tjQxnivbq4mpIx31mPM/d1BWJuetZ2dMM1DFlSRJGrX3fCzXpsNPNn4i8CXv9fjpMdM8j6vZyE6nTZcI7fpGRLa5Cn7F5QfnydgMxN7Z5GKYfmqbQU8hEjeucJdjWdie1cBavca0UG/g9w8Q1+8MZb62/Z45DoA/v0js39WYIOIapJ5zB1ogIX3mnWX7ukMELRwtLLIzstUTtNWXraXh/XwTwnyLDjvcEwV7bo38yTy8PUEPOrxo9xnCziVuSQZavnSnjeDAYW7biTU4pEwXfPBH5sLv4uzxuuOAF2rnuSRKTk46IKfeJ18QGzK2n8jPfBLbj2s1tu/I+4/GcfEbRW1l+w2WJmlzk9xZL+wcOVjjnx5BzskRfb7/d1VucsjQqz5l3sNuSAnDn41Ed9jnoHlbkUeqPUt95vsJYr4CpCfPkmnw03NyKQLY+8jmXHu5oM8ct0/QAXspMTtHZjq5/kl42M/GYKwjxIWTvPa84qg9nfemSDvgJyYODdPw7tX1iLABewkk7A0hFcsKsbN5Y4L3z2YMwrxPV85VxvJtpGMHfFn6TDHY33/nw0taTDfVL2sz4v51LprbWVc9MvmI39kIGlP6eyYxaGA/AkZTYC95ZRLLba3aizZ1zTnj86rCYH8J1ZkN210JXorG0aOK5yRFuEqjpdCO3lVGDdz5fO3D/Qk8inJxl6O/nshvm8sAfgWDra4t2HxzB8VWZqidMnGAOOZ/iSFRR8cHK6e7JkxivVdpFTuI7MU1L8wCa38GrmQX8FW1nD+P3v/l95YsWKw+ofLP0khT1GECupc8gB9obuDtdQnoUAo+mKSgi6+KE7/uzaHq7X2xAD2QPCGO9sKB72vwJ2jqT9K1DPj7BjqLamd+naXgtI9QJiNH90TloHNomC6NN51Td3rUnKBKAJmPwaPKf/oGt8BzH2BSWRr+9ezcgMbO/FuD+egSeBR1YsOMyYDurPt7B25kdaxfuanfZ678SqqPGk0z6Xp7fmHUxx9E5PSpV0EbrijhS39ylZ3D5NahGcsi6LQkzyzfHmU8zaVjnJO9A+TbtPnYTtS92XPNDYmWlHjTKycQ1aZ9gr8DHv23YY5Wcq97YMUvEW29ZjUQU6YMdDBPu+Cd43ZvzxbknvSXPX2U4HPhua42r6YasjtBqjytgSTg4y890PoA73z8nVOMgO+fTadXObabamgeDCcp6ICnhhic4knauepg17tSTG92jlgeBoECBlQi8i6MfsqYzGrAdx1lD9HjBLSSD0R2ZwP2getmtvvz2yeQwK9tfxq99n7K0o1kwaHskl7tywfEalU7Nuew3el+SbNRf2cS9s6wXYBDv1Knf5zDf5tLPttcIq/uSrcpOLIzu/Uw5xcmrnX8ysWag4vNUw8JJ6Lc5CHEbne55YWd70geKnbg/Qrw6Rro2c5Sn2ztxZoOyTvE/IXE5pM6yVg6U1QVYE+RtvVqXwoD0+2D88Xodxon3y+2OYGOIoP4oiPZ5Ah0Z6FQs49cLg28cfyZjcl7/tN7tn2/9PCZgPvp/qdXl+3JA7aMV9g3Tt6XjjRJcomRzcPcNf32msoSHV3zYrYqd/3F9q6iTjuQsL8eHWSsdiit/YLN031QnkV6v4xtyOMSSfbX5uZHNG7HdG1t3Y57Gacv2dveGeYJxvhUA8Inlx4lf1ylSF592h+Vfe71rw8+EzSDGvL+3898IuBQF+Ks7TMyAKdu5GBQ3pX35rk9Z1651JgEdT7H9t5Jj+mz7BfYe9sV1u9aFW2Yrem9HjKr4161MEBeYgJdtaqRkqY7XHOGQ9uTiIIeAD2yqRnEYGf2hDuVjcyQGh6IFLitB3RMzVT95G0I0GC9yhvu5zoWM8dTnAsR2sp64vqvXH0KTPzViAAfgf9ID3zNMBA53oNNs9wDf4LMwgxxM0lHxoKjKtrxuAaFGmz9QbIBX0qoafO0p7RC3AX9VbGRHuH9voMm8NTwe354k6YEPm6rWtiZ2L1r+18wp7frNNe9UFWvfC0S0L/YY6DBlO19HdENs3PfYv3dhOIGDHq6CB0w6YtcIsV+zs4Cqz/7xtm+zmBPJ8d/s3NyCE6Egr0rRjppMe2Y/fv9crpgzIE7ExkCYwDj0ji18xvd0qhnyoVbjsFJD8kx8wJ5gZhUOeSnj/FP7adp+/InO+Lns+Dn4G9trb8gJ2WyVQq92J7sSrQl3av3TGo7f2UvIMKqEL+d94qV4L9L0X4ojrsLi5BYy0WsNiGq9Wo+vV9C8ZGiCVjP9GXRvLjXzkOruIfFTz9sY8/OySkzyRVsNGEGA+LY+ElZKm3/FD8XPcqrIknTrnlCPD3xiOwknyPg6Qx8ylfG6QoakNiaH2Zrqovp1bfnfzmXwtZ9vtUOfT+uYmyKoMxj2tu51sorQSvp8IytEsbvqYvD03Pr1UPpXArugv79Sp9b21MCXZgO9G4maqCPfB89wMe8aTT93i8rZnvWbfuyF2HWmQjiBui1f0/Q+1mGkpGD7lYO/jyHbaTX1if9lMNexVoufi3g1yI5Nbhx81gZ1fGl6dUD9lfCo2S9MPWsYYVfORV2lltdpOhi7Iwx4crCkKrXgQjFkBkxEYw/L0Lktt5BDK2RMTr+zJJjAhgeFfC+2tpdTg3wh16Tt0tBqQojtzb8WvVT1QDWvmw5KybKRth3RfCVQUyoQxxUo6H2brLmc1wBgwqMMxZGqPKoRyRwOfh2vjdEIFtZrobM9d9r9PdaGb27RG0rI+JUEepPCO94L148H2eOOCrXD9W+HQQnFXzeWDn6wE2bCHd7ErLd04GCT50kNyIpOfiN3v8CuelWvXNP5fKhWQ+aBNbX4xvRC5GZcpUQVXNukku0vBiAMBTc5dByNpgT2BQWhva897FtGmldVeWCP4Cf8J4sTYHvzCMLLYJCuH+WbBRMDsmzAtv6mXsg6VvTBYxKGpdDeq2Bic/x73ptIKaOqWxcjdruJx9aGB+06ln2tndr+dQusv10RvC9S4nEBBT8OMfCg++xaK7bi1EQg9FTRfOuGkof7FuAVgP1hT9B9/XA/6+z5SwXOuIuvtKxX4Sr2qpQtrdcWAnzrjxgb6Y/QWtDjP9cOfCjGieaCdFL2DOqx/zoOFfhNAuNUCsK88zHaW5MYn7mNKG2JEP0YmyXsPaQh8Tn/LaqvapIT4scNGMTb8fSVbCG6mnnX1ddElcDaPeP2waYz/b6uAKvHrTk/82VRp+bplM9xML1Iue1tHOYV3LMVvzqe4AIa5Zy1T75+POoXDHoof0sx8TVkf8ka+8J0CipUCANTK5WY/temXr8t5CPbSuZyaq+udoc9Dwm1eXjz6Z0TZ4X01saBtjOdtDFbz1RlLE2O4ei0INKJFCIHrYhtb0JPJPyPnucvMQToKFgD8Iz43slghTe0w1YfuR9gllE3XNsXFimhUkyZ0zd9Z5YbbrY3rjNXr/8/Hu+T0ZmPhEw3Vdd2Hr9v/ZsEOf7zD8zkI2j2FODN3QUHY3K+2WIrnKc9uciyFiMCwJWc3KM7eH50zNUh6WvGPlWrqY2F7zev+o45kqMn8+qKDeq536JAvBX06Ph4nhytk/eL8DV23du/j3p2PaVN0FkNk/d/1tL/omoPetYW3HhSZ7HqD0DO+WO/5C9nUuubJ+1gkf+6/ywzD9mRUDPnJmdwbIlZwGxcVXHE/pnNUeSy7lSNjuQN5sUDLge/7p1gWVlJiNZ+yQeHRuwfYHV1AjNm5XkpRC2hjnK+8URzm8eUWtHDqsVeF5u/QbiIPOmTR5/LmRoj9xNOsZaVH2Afo63Q8MSlzznoWSlS2T7kEW7qUf6zayecP67OwXGCCiYPoU4K/vtgTnLi+dHzv0kd5Nve/+ujQFetbOqo4dkyYk8t6fULe98bU/AmsbO4aDR5x3ijK3TcZnchrXtoo2TwvZnS0MMMUDTxmu8o0NZKckuHcmrPwAj/XKoVgG60WAeRY/8Z5ZY6ooOP5tCLBeTPJnRSx2J11nOyiIVaPlY6piUDNEfDq49fK3hXVd824t9kPHQdvQ5eP9fvV6QGuDp1fBz5BOwqS9bd5iCHs+6g0P7+XT09F3wRNieOKD9eynbOes/gd3bAd7/AvszqPhkZ8FCLGpsjRNTK/jRXtse8adK0PJ/n3VW8YTYYKtu53vqQEy18yBW2B9Fcss9Kut4aYW985KaMmTA3mfLoafS9vGH/WafG/5tLiL8xrn55qAPKqstOPkCvWPz8F+88Tyu+EOYvz58F1uT2Gq33bGOdMLBs+znoJTC9jxIaI8/OaaTnZsD/j5nUldUTMcmmu71c27LXp/SGPngX9KU6Q9uzyaiec2k/9tXvxkgghXRXe6FJ0PdNQMipNNPslf3o4taiIYbOwkwddVbjqZjNtpaxeBew7u0U1UyYSDeagLv9k498Qm6yst471UD3TOu3oEnXz2d/qujGbErxokfPTufCPbAGCHgcMqZUjVK3mzfjboz5TlUH5onHfh5fI5nBvFhoijYk9jmKszHZh8kmc1Vc0nKBJAg0zEJX+dRs3uBiH56zp/aw+bC6ZfshCKR34mIyNqdN5rbXpXiTY6po37mYbdWT/uWmwgyXtqTGTjhfBkei+SRw2PErK1nju3Fpb4Fml5+owMt82hW8W7zd4AvDrW7WeB7bZT0vZO1zEHn4C6mqjcjrE9CUXJvxsat8PRxjtBAxym9xI6TDjjm3mHJgEhKiZB4bvPUPdzt+eirtsLeRcNucumQ9LrXHehmBJrgG7T1e/PTQy69NuyfI0ZizyoJL6Yo4+KUDaWngQN1vKylJ75gD/bE+pOOIMZ0pOJk5vHBBz3zWi+nHiJYR34nq0qbaJtlnfiWXIeZwAvsvbSJyVe1/nuCPg3qPf6C9/r1c2fV62s5qA3tt/cKkTy1OWNDa3uhOaWdXROB3nCBy9z5dY59gPh7OiIKrEmiKlpOpfNvyYfIUb1y654m9my4WctrY8yHyudFArfknNxoZCrtKpb1yfO0lm4e6jv4xxJiQ2n7/DaycSj8K3Skv7WcF5wtNfsHP5JTvrd9PshV9hDbQwPsXoIOOSyk33agb0HdbxEZk0fKU2AonNfgc0nXL40RD7BLlRca3u/CL5F/ZAaspYcowLPXHeIOWHAk+6QSfYtPzmHDEXmnH3+cE/qLsoGCbhEL2O+HFqYimCZE6JRLjkRsMIv/PEoRHEjRnkUMWsIzHbD40ebRggIFX46dDOnffikXPuNqjxX43rvsSdJwQ1NgdCmIPQtyYJ/mbEyqZgVdtqcxxBi7ZvjobmUOezMr2s7OT7Zn6rXXZpePOSO271LsX0vgXvBtr/yonx51qTPZPnJH8Clj3uuJSsJqZ0sl94u0j7xM2DzBac1Q5qiufIDe/26MnSlOSuAQRTt8lXJO7L1Uxf0AXtKiPeDojgjwrS/f+y4xvVPubI7P2b+EZsPHaVMh+AYsQ7CuZx21V97B+4jsNFY7py17EE89M6e9k5i8l878yRm1fdfOVJYbthLgN2Dmld7ZGqSgj16f9dF0DTo6f3yORQg+0+E42YFdrUeUgBbpfWHUez1Mb/nH1k3X5ln26ivrMrATdW48/cV2N8T6n7mim9JTdj5hQEywzwcSpytZLC+99JcelWqQJufd1q2GybX9RS65rVkShnzcrmln43UgmaOvjQA+F3+fl9HWYbQ+K/B88si1iaeSDc71DMoQNDz572yMfjS7bZh+zP/X89MF/cFA8SK8YY6DKid5iH0Sn+ys+AE9yKAqzcDzD5lP8jkkHn/SATQ813MF8Qs026zctrLz1/IVP3i0dMAL4EPatXLVavslvPJg2apt/4dv7en26Pb+8bn9qvFENPiB1PYhHuZ71mtE40lVhSBNrN9KvqjG3S4s0p+11OfUeql9EnE0tSLGj1Tox88+XNvvipPXOcCBRAsGe6garJzaSfyL0AfQ9+eLJIXqN6v+2Ibgv7rKWbLaTebGmbzUnYNqr1Mbj+z5F3DdXgwUdO/mUfe9c0TNI400cKfYp+5vv+WKFxQ3q8qk0CP1EiWjw/MyzCfhRF6+Jh4zSVe7wKH436q7v24e8SsDlVYxoKl+6c5xho5rucJrcBXf/mj7S9ijBtYbbJWl62+PoDKPyKNywOcafGa2D05I9qQrr7anthhwpcbySZDaXDpCgb/8mosuXduBRAk5R1Nm/ysj3Ss8HVnU2jxK/6eeLCQHW1OifvuK3K7HNbkeXQ2cISDm6zfQ+iyTj03mYNADZpX8Z15IDHL0ExRGnHEgSaxlKpGRkcpBV85yDGYFOh20+1Cv+gZ+TOZekOeIXgn3X9qc06IdKWw/wmB9fnppI1GxoKQu+apjs3LQb6XcnmpHTwwQkhYTrx3/OzX6ZAko74JAYps3PQXn3ZwT0Nhaqq+ymBAFqzlH8yt+paV0nvJHO/p78DdVKWhWO9lGR3oQe/xBXYNIRDvwX6eTg+xc+/v/eqwtYIFTKfQN9CCrB2Den/no/x7Ms+fM8yDCyC978TujELQvkSNs8gi+OUo8EpoD4/xBwwipIl2q0bR1/OdayTbMV/NdOeDv+Dxf8PRJCxLwj215xupm606FnKPSFddSJDOJ1ac0oBHl9MqDtSlkPgXGAPtsq9gQ0NgIPs/2mUuVncHRCSrjBPbAw96BroLpkxyTc25rxkZRgb6yc99tLnsPLIi0RxkwxL6OzIbF2zLfza/+bChFOj05Gfiez40uDKoZDWtjzw+APwx3Ld8IDna06hUY4V5y8cX67QT+aMpR8k5ZSym3s7qtJlDdZVARuNED6yE274N7PvzmOcwN14cU4/eyUG4JGuMykFMOf00zO/GM3krwvbx3XB6Zd9BvXdW1b0cnOdn894vVJh5xfvY4pvhiZwh6B0cKWikR2HujfYPKl14eSafkuSAlXXHA5XasIZ5w2+XPfK5NqOZGIjtvfq7AJ+ZCjA0nJej1Q9X7Xo4TX7gkuzADdkvC1PpW3jLQjbGKQKtCHOWjfrHNG3GTTdljBP4feC1wyp4WmadmFZnvS0Hj2ky4HoyTM7Wx+YBn1nK1Vzlo6j0fjJ1hVpX9BHwQnAnDXz9zLuRMKy4ocJ+9Dn1pB0lN69ARA6skqCqA3ffth8TlfznM4n+9+obJ1HJJ8yHx/+v1sc0vYLlsVQR0b5yBpjnjv0vDwFZBr+SObrlHP0/wrgVouJc/lFL4wAeZGpZdhe1ZpzDAkhsuplMdkWO+T961jQ35HNAx+QRu8xon3fACJ00fPRjfohOapiYSZyFUTLECPaACGhsDMS+CGPW6CwC7+QcchxLQTN+gHc9yEAmJUZJztQHf5zUdHYG6dtwxZy3IHWyeniVwuIw2J3f6JtZ/habQu7mjnd2L/oHscUQdAry1bWnfvjTsHey3zWweBBa+kjrNRNA2wx87L22hgo4cqbwxNCq7xOFcYN5hkuM2FwPwbqH3QmrwWds5y7dfDDS3nS/7M78tnk7g545nTl/nG34utxGPkqHhoEE6QyHqHdPYV1W/jQnWk+C0pP1kzw9LO6c0Dds4cx7XHHS84tM7xYJoFoCublHdNwv8+TsbRUZQYOf/TWfx29t5KZlQzIu8Zgx+evswWANb6yN/5lYaW2M+AWO2EEdtbzGqYiJkVPp21lEFnJR9bD8ongLu+LEQ6QNIg5TAUBU3J1gHO4P+NVf6USPRpyhgdOA//fIv++auxsBTJrBzpb7ytb9WAhijb4+w5td0jFYhsnuGEtL0YgPMu1Rgv+c4ScFHFvB3RogBRnWiavbJU/Ptq9/XIGJkYO/Gl2i2fQl3KZ8ZYZkHvveu9hn4APNRfswp7cs76HEf4rpbosAF9eqxwZ4hHe7ZqMBP4SjdzRjYEGfc9uObWiBxmYrfPX9TnblJidKK6bs9LwR2KaU9TzQ0BLse9frveuHRI13TB2XYz8EfXPalK0fqnvetSI166g7epetcwZ8Ex7UdG6z5z1wY19b1qFd9ylJLdCBCPWS+PZdIeOWIQz7MsQrpBO8xA60Efg7nlemfwPId390gJm02xJAoB0bJ+9u9dJpNI/F7zmhcebDmzs9sTa80tr5GvPgQ+I9mpZ17D8xk57eqQYzngq/V0Bqw07Dkf2B9AjuHPuGg67kjRCXnWQzoXNr8kfXwlCYpU6yOoI1neM53bSi8EbAGFwGfzi8+fK/GZN/soydx8ZFH5Ar+whE7YB7pw7una+O2ODPmO/Paqh5ALwxzcUJKgn2xc7zYuYxnsPU34Uxc8FlIYNfUJHMtMkeswtbIvHp9PNigystuG9nzFx0ePIhPN1GAvjfK9nyvqr0ILyIpZGzOoLkzjRrLkBOP2kfpbEGHtm/UpBC5DK86/qwhcjDUnmiRSMvLzfr3d84IcUCnhEkI/DMK055BoSDwnfcLsI6MheHxUlE7D25s32mskzxWg+0sSIZkalz/Vo1tB3xvqvzPtfZKL49NmHZmAC2TlT3aE+/z1d8GNXtBqt5s9KoHids1HfwMOGG6sMivR4OEix0ygP8WJqT94SHlxs612Wt5cDLuv6fI2PvDVoveZ8OfxfbCkTaXbSCPHE0Ld3/zHOIKT8C6alO55DtH5HqRNAO/RZWj7honp8ykboXwf7M/OLznnxz4rZH9fKcr2HykZC5bLKLPJSuCM+dLe5bLkroItP3BsfNtXnejoOcX2xuTrNEKe/tp++UAdyQQT+dMzufzPlEXTr5kj6rTikcpCWIYH5th6eEZ96XE9s5yLgfnyYb2rURAyq6fcGdm4qdudElf71DJySVPW9t68CnGmMmFKJcUFNZRyp8ZBQrsew8Mu1To8GAY/lyfgN7AjojF5oiijYr4kzMMvJy8n1wOrLslpG/nI/i+tPi9X77mLPiG5+65Q4FhgGhc0Hex2Gdy+3n0SC/ch3t0GoftD7Zvz0eDp0fKAhccsEuLxrFnRETioo6mwvYEIZ6AdWkJi+ZjOvJ7uf6eA5wUNjav5AYxXdq9xzqzobEKzmHzYCIJmjB5v/Tt+2XQX81z+5PvpuW2qPaEwHp+NzH5yCNzoxDrTy5Ey4jeVf/nSfoD0B6lZ/57Pl+UDvLAHxTAKcByZLpgAK4ieYJ9CSpsn20T1K6Z4Mc9d80CGlKeENkd3e1ORwmG/fAlkFmrTgWVo21/QKZcBL4T/D7o01T+9jPnNIp8HqeLzdv9mesRb88SOFJGqGBFMLMR3xjsQ9LrexO1C7zD/3qUDGbJC/0O7JumqHGrfv4EtrpdIC7zPTlDvHXFmOxU9zsXhpddm6gep3wPis/2g2XcA/5aaaE+T24ExpZetafOlzBB6SiOcrf9VkLtNTDMuZg+mTuLowuaZKCwZ4ShzPS51zt1b/tago7zXr37bv7RxYOKt4efmQMMl9wlSSbbtzzeSlgbQYZF/PSCQ9O+3geLrcv9mZ27Fw7Y+tTwz4cMgzWXupXjX5RHN5tv8N6E2YMY8aaNeNWNMuBkWkM8hne9Ur6AljMPYAYBmobzfo4k6Dca4ymN8Ccf8DFz5lAW+Ai6KCJhe7Cz6dPosALXC/CDOZMkrfLtG2ilq9rNXo2T31x9hcRGxhgY7Z9fOn4K+vBWRxg4jcZiMG0TkVPmWrZZSj6QIx8AOzj+Yq54Iyxx6jjyL7F4luyfx+T0zCO/PzN61vn8JSDWADG+9NfxEupDxRG9RByeLSAEvgNw2T6NZpwzfIXvGtGw3akBeAf4s8L4VvJpyZ3FEyvuq1hXoKvXfE/3l2jyQffnop+M7R1Xy22SR9uXJtrkTrOWIz1V5uCcUBAT4MfUSxybk873argAS4G/r1hEEd9PoEbKR+lur5m923zOaz3MXsb4tXJK8MXoAd/xdIbvXTpqgXjvpfAeXmd6IlYp6CkF7zESEDMtYwGnUCnbbzqIBx22c+WZvcL0wWzNd6+vF+BijQ3JQ0I43x5rzyy1i+6gPVrYV3G9HlA2NggY8qsC/nid25xcU1bir3cJua+YOoFv9quPbVzHbaej9nl0gecZ6MzY8YGpN3yg8F1tTq1ya4bRmUOsFMar4weqhikRoQ4J11+ZBA0BGk7x7YujTqlL3tg4DfmeX+25HnhdVw834D2/kPjfE/xlVw/gWwr+4CYJ8mHbXmJzOrpiLQd903uFZA98INGd8TY6OY9HGv69VqB9mr0+MJe/7nyJ9qYvHkZX0JWmhjU7usr2grasdxSjLtVAlktIDkf3san7yZd7YqxWAVv5BlY+Cmfe2Hyn0iVUWZ0Jz/5zt/qEfRc9nHT4zU29V272qPDhUfXTWIdkBk38LfZ0V8P+r7rDsy7EEb7rx2WcPmvRPoQXKNBVPWiMkIHfznHpkDVbUxcYfuXo0gsC/Ix0oR4XmTxtf9hX7rdiwWcVOR7sWVF1GnGRnFW/8Ssz3ep4c0/3yj1Hfi72EHdtz4BhY2vXEBDVQ8egm7zAIZI/RZwspzW7a094HJ5BRuSQ8+kGfPU6j7rnEoEfxzavIq9j9Djvtv7RU2Pu/tSE88xNorSI1tLovXbxGzPlA3wVOBawS+tzC3yzMxh0IWxd+J5FAnyrsfk5tyb688ydX/31ndojsx7FoMvYCWnQWi2wHb0Tzww69k966K/pqm0Pl1vagYeMkT0v2uTY9sOF9x7jtsHmI18DWfMWgZZkFewZYBpxArrksfqdawY+6Wp7qwILeY3hbh2p9xzb2STNXYf/EOjeoUZ2toV+O4ccSUkLgpNBr6YF7edfIh9i+2GpXKryYdoAe34qcUDgH+ZL3ML38F+x8q3GmAvnhvhuu2O9GEBfOpbBQCtV9dP2PhZR9l8PwtX2MQCN69iZZFWv4em0U/bqUHWE5LIHUphH2DsB7I8d2wekGpCdb/I6q/ys4lml4LOBAx91pNc0gpgZ29yV+UlXKus+GQRSc4X1kha9S3usZNHumQFtxUAP2f5u+Zana++xj7nL+6RT+2Ai4wQxYcmFO730VwBaH/YNGVOpQr2SOBNgHQPoyQ5L8Dff2u3vaZxY3bseHdCkhc71qpiU0xHi/BV8SZUBM5SIhHmcVNRrs4rRN1WAbxVTRZ3yt95ci/Ymzc9sUMTjT+diZwvvMegejk7OVDF3ehJbR41MApRy544+gR6KGy9RZw4P7tBbFYFuHe3sDroDWyzAn4LupAnsH6xRtvnlDZPElc2Zdcz5IrcOaIhFYD0SZODvkDjHyTlnyYNKs6uc6V7H2/cKJRv43OnSBVU+0muKyUfNtwpiwi4VwQa4+M5cAz5oLpsi++0HC3upb/K5Yk6CafQP6d0fWx37v74h7T6XSU5c0bLi3xW4NoUd0QJnrGq3faRFsp6cjS9iSrjAyPZBaMzkSGbcdGiBzzJ0xr9zzUze6TJF/ZWt/x6Z6wOrTt8CJcBEZlR2HpdU35mrwQgDAzx2tXmkPAx6iK/dBZsocxDjgvawtwnr8SkrsK+Z8oHVntpdWu2YVx1ixdfkpJw/Ho/tfTBokd12SNHnXXdtle9bDGvOS0BG3R02JegH+NxvEXKvWsEOw/Qp9+qNDvMTWHEPnJbke3wk8XQ9i7+bTKiT7lL/5XvlYGY77/7CEUrBXxHTlic3u1fd32dZ0B3o/hE0tycj8cnlnDQRTigiAfiVSfDEzzkNzjIJdeR/l0XC7Ay+eo08AtqZuPBmZPqKKf3Ro7Cffmre3nREnuXKfW3aTI2ftsY0zx0//5mFySIvz7ezKMAHsdb2eQlZ7IPyI86FqRSY40a9cknlooSzBZumXBflAs9IXnnL+R7WUehntZvfCCehPRPP+8+FubfNT9+/QkG85Hce218jXyDip/B9aIirkpNTioRgcfKWOgenspUYrrbz4W3/gze5x7dG0BcfRs2oFHD7UYTtW7bildmcYgxMGh02WignHycv42StuHqnDsRApj5z2/+Yk0gPzb3sCc1j+K4Yk4vBO9GrvnJoQON5kf3jWffk1UPyBMzQadY/gBK+FUvypqBxKbm920Vg/wf4rGcFe4wU7b2ORNA4KJG4ce0caRmTKHebZ8bwwjy1kVLdqUOe1Du4teifQO1L1Se/M54UCj6JCSawPeD1wxNsIDhjkZQD5sqInb075b3Y23l31EWHZvhzVVHqatDZVPrgJ/8uPznt479raefuOcmcOTqxPYj5CGwgptcd4gCxwyPwvhnPHlyYL2LMg/cts3l7pZww2FECev+z4fYsgHyW+c2jzrRUzsMVhZlBL3igM4dyJM+sIBNxweDQTz9L++vwnP955W9cgdutT37mZjrmwBG5zSt1Z5LGcwf+61qZFHi1lRAjjJB/rjkHUuSOa/s3lPIG1q48bVSQiWluJOhJB9baaIgHFNNVxDI6vNjmIRzgkj7zgEVSHpGePP94rNPA6uIB7LZJ3dnYGlk2oKwCfVv3RurnFmKq/wCqYSW3PfBErtYUbAriyoDewL+Q2mSgz0isB3R42TIZ6JM5tNURMMKofQW+IxsnknvtprT1W/vIBdZ6ktW8ZUy8l+7CgXNWCr6/gvUHTnbSLr2DP5BnoaQyOmPhP4g65r0a2xX872sfBvn+YO9HYW+kvjJ8YSby4d+6n7lPzrs/Npd9R4ExaUQ5KDw/7SLQgeAVnC2X+4OduzVpiI7AT/IcL7Cmk5d6GJSEnR1GQe3/1jwyiScPYrmpue3hPPd6oN/MAI+5y02J6Z2Ddf/vs1PmTStwIkR+nJWucJlRX9z2duSwR/YC093NrRzBq0jvIPYXoEGZdn97pnkQazIh8U2AlgYbS8EXbshAVrI3VRr/9C/HKay1nRVTszaA58rSeNqreP64RDfbL+wuY/BdoiViDGyOUw88FlTSvyp3ZtR9zbC+PZmwZ9d6w7lz5RHa6VWk0nxuQEPZvNFdijHS7uPRxPM564CXxoOf7qcnjaabnZPX9Hrkhc1Z4J5C2if77Ak0sbc9OFJ5cLOP+aX1nsprmRinU+PosRkn0Kx0TA3peffvYf0EweCTB3JrQKPYeW4Noxn4iZnGtKuB2/XH9tisrZ1VHWUsOTfuYWGdzcHlj8YLIC7+5sF+XIp2o3oyAd/tWCwKFXLQfFrWYC+lMW4ez28g0HztcFf3oFMMf9b8cwPf4a0CyZOBbrE1muXHNqsh9gFDV7VIrulgZz6JtBzU6y47r8Wnk/VLD+v4fvJaLPtkV3J+ZWiyNR1RFVFb/7KzPcxr12Cw+Vjb2gRgUoE+lxIp0GqosvNkL7iHZ0sOKhZvCmcoDUvbR+x15uDVroZ4SEQl21K7glidJuLtw3IMHcxnBntcYOIoD5vGEAditeDGfFTSWVk+D6B5WTnMkxqWqjEB8AIF/2D9dzJeACWBS181CPsadCfE16lZ/3rAdJ9sVUhADNF78lSo92CVTxepl5/6SWA7YIKKsQRWlICNKNVE/652hrzm5hv27ncpxcPm69ZcrFWEDoy/7r9uG7mfdsLG7RCP9arDC+9d0DQmE/+czMOfdEhi+C5BxrEi0fLBR7KmTEU6hPe7m8OKtwHrFePA5KKjpWUdOrZfmTNBrMd7acQrtydiwxKexbQSrBDrs2u5krMc7f0FxC/QN7lRp9zOU17VQX7MoCWz5bwPFHH9Cn70tVM+m/7TIUjZ2eA8E+YBe7mD+OBVPPWasH/Z13qO7X1t8paH6oOAHgRd9XUZ/96bzvCm4G7qQrwZgyLli3tytm4Tpt6Z/XWzfgIWmYbMwVigwLn0th4jKOp+a/I1+eKSUmAzcMfJiw+Dcxh4QtDV7rOG/1l0fHtQzFcRBpKP9K209yIMA9FpAdGgr2VyFW67yXoT5nuS0H1w4HyJ0sGeZdKxfG5z0PNMi0loFDyzkb7O5+EZSz+PMv/o+tj2a2p69U28VlBG7Ewxp4JdqDv9RYpgc/LIlGIKWGta6rbXSm4epGhQuVI7d3VsgB0Ao0GXkpsatliJ4Bs0z+/cQLWnYe0kYb6SjfDaqllxdnTs2bQxx7UBhlKRZHRIP7YJKTInlduiGVD5MwNyzTzQyYVwYe8X4BD3ybcEH0WKT0/JJCqZjnX/e+YwwHeWKj4sBP3bXIalq3bbJXX/+NT9A1o4eoKmteeYDrUzc5h+b7iBeKVbgpLhCBrhHNHFztwD7runLAFlRJ5a6rHai5nslWW8Vy6x1d5cDYcnc3UI7xjY0Pa8It912D4qPmV0TfLaE2UeiUPtoA3vzV3hA8TntpMcFSULgtRMUe2iNTMYtiGNq1CX1Yj3lUPAkYvjL4vym9OI5MTi9lB2LQJeosoleWra/NKDr4T9mzlqAzEj4uAlWNfGsJNBz8wj423MB9pXCPw2owm8nwdoB8/ONUiHBWI4BZZ4zQGfn02IE+U1blPg71IEDh/QUbntB43EJo8xxH/QaEztJdewT6d7Ff9xwKcB3mCWOsvjuKaOnX9NmfEY8OkFJx9Sos/KIqb8A8pev87ZvMol9DL4GXM3V939tef9thfSF++yZy71Bpjd9qAL80HYmp8PNhwewLYP0JtH4NWNMu3bT59dT994Px1rQyBIgQf1yIE61OrD1x09Bj1QVILC/kL3VEbLRQB/OQbi0g243Rwowx/EycBvUWAM02dj64N2Hlmvbe++hBhsZ3hQJXBfutM9dydl5yyA/+r5gA8NNq/eYrCYmHFG32sH20KDM7y/K+zxU70X12YVRdrTgRlqLiOJKP4Luiz5lHHpqRWYHbclAduqEP7KIX6Czz2cI9HmnrmC5v4C/3duCv26Q3QaOy/CE+8QX1FTgH6LJzvPqVODuitJR+JlSO3NXTARp3ucN/0c1sBXpxW4Q7RX+J6lHoXKP7Z3MsLe8CJgHdKmIZ4ybsDL/p4t2z4X1wopm/OxNEXyrGX7mYbNg6DpyeEzyhW0ozh4dMUz7MsP6k2FrWOuwIYvHXmUA3Wa/rakXnbXwEDS3g12/bURDQIWlcAjL1ueNEpsjogD+jXJsZ1hjt6aaIsuPd2QWEy00NesFzd7L0rtzF25WUsUmJwZ25P0na1iA3RzP7mKl8BrlzByYc/P+QA05uGn7ev6Oqu0s+mBa1zYFi7o8StHf++saIO8x2HetQ8pNc54gm19NHEp0ubf42KmNXU368l2NRlKlLoc/Om/KwPu4bHqSvh80rWF6IUBHfTSKY+U4aIsOKzJ9Ma64LNkuM+9vyvpxUP1oNOj+SYk+rBnWWnkePVowrOtJxPAq2HSpQU9U6PfgEHO+T5RJ+/zcZbUEClAx+BPvb7q9azPECVo/vK4ko+U41Ca7FGv5EZjNcJ37Rpgy2pUGRkc28H3rvLtIIcNgrjwyWwPm56Gmdf73GTXk/vvDv4nA90He9rWUZidZdf/fS+wheCkbH61G7ksFEc1Bl8Ql046QrGS8PgItNtISYpBkwgKtoz8Cou8inUgiomehd43GLSWl4haQKgb22vtkADsyKEoAHZ65RHd7mDXOekR7PPtjUn0XWPLUeoAfPahsbDzEGbZJZ00LXBu5Kcr/r96y+4vaAlz1Uj4wEw7gcRn6SWJ7nVOusT2MrZnTK/eYkmz527mJPsjosBbi9eYTzur6ZuDltPPeZBjYPW6nZYMWl99iR6ewZsIW3VbA0ORMF3yAfyE1HPaq/eao5Lttlnef8J71qes+M11/LrsgFdQgCGW2NqeDnRVqfjWv3z88ZWAvzu2T83adzH06AwxuPG0PXtbyXPuS0bcNCRlHferlMaVw5I3+yA+OuQj6w/+EbUFlb/nvZH1camr8tSlEfP0wAfFaGyAI6ZDw0E7AmNCPPsAXZ7D/k2UY+sBWztH/tbERglH7zKv7bTc7isX297ku3OhqnQU8Iw2Rzf57XN76Q6+NoTDHlwbZEIqgujnXIZ/XvM1c1lhyrzfStDspHFtr6tg0XZ2jjPNdhYc7PmvrPu7spCiXEDQ84Jd2TUuD/U1l7DW/LeW8wN84AH4SlRMf4oiSKuVvoGv/c67n9ljK3G2b7Q3DjCpc2HUA7Z8ik4smasPYBemHjOPDHzV0dSqkIgc0KaJ5paPZlP1HLzE8uojnQKThWwg45mZE3DeHXjEnsR/pW671A6/Cwcvam/vGcxJxoawEP6MnVXM9RtwqWvrAWCvf3CHDBmioN+T92b/b8lH6gM/tpcoecWUQeDkQfZ0rUMdQ9ztmsF5AL+DZvcT0ASiiTXgNRXgXxjvMYX3AHaigTMN7FGdQcxYyyEpj97PWRmXMdmBZyrKoQFwaSvhvnpIzjvqGifn0aMx5YPjdqQD3ihHz6VQYY0Ua4RijMHucZePDCWiMiam0QyeB2d2fh6sX3FCDUqB6yuudopz92LojnP/lOKJ2B6Z//ussHKMncP1pTnZ8UicGqsKgA1Bx53AX7c6hv3iGKLWYMoKeOaVLzbPhvcKBIvOuYBIF9pmdZnbGPzWdCrKxul2zucvDn7vnG9fc6XvoJe+bR1oaaKlHpMHW7mT9w87Ex34QY250z4bHJyyYX5vutJXBSUi/Iu4M3/Kfuq5W15zp7e13adzlGzyLrB39SFD/x7Uify8b14cFRGmDgT2IDDrne8TVA6t4RxVxEvueoR3Mhw2tqcPH6a2Hvx3yze8/+dJ1jvSlFeIB14pnQfbR3dlz48Y3ohh+bxE7ScLf1j09xxAfMy2GtjOXN6BtgrK9XBlH1v/5My2d1QMOja2/sD2qmqAn7VpI2A5I5D6psbkaUwOZ9xOsDfDJlJ30RPQcRBX98lC9sL2KXr1FWmpR5/1ioMaGSJwtoCPshWrtzoiPrDsGxsEsAzo6QJ3PEJT7YFP9BJWRyqqPWNriascsKi2tQ3jX4fvCapH4VTRnw0t2lvZqZc/9KgknMcTbjAZGk6+qKHHhuNFjiLJbayNDWqesz3Pu4GufF4K+knNv03t+KMuVEA6YueeRlJuCejbe4YmD5DmrTTijUo6Kbl5zUEAHaLxGZv0CNwO3MouUWN7TKR2poNwMQc7Q7KY7twLcOoAoUn/ntnezDGJIRYFJ5s3isQHrAHOHRECm0yqPzwqnMRZZw4Qo18s2skIRedo/hQiMLafaMnogYl0Ab8Edoje4c+m6T4IKxSIOsa08nQJdkFgr/sXLgrSTy3bJ/vzXuFL0e7B6jdVTHvQMZK6ONBF+9JfyUUYpzbcEbHxlQR+kttUmsNGxaDnCuAlLykop4c8bBPh/HGBuZYmvt1FBz5sSLIq8uO0B7YaexfeqVt7yRdzJu/oqqqJy7sqkl+2ged/0Ni5l8ME8VdXtsob2NqQCDZLmPhnOUkapT7wzJtybR4Wzll3uCv48mIo77Jo7kd7AxOpMwtNwWIcNcPGIfY8vwtsLsprH5ZHiEnaIS3Ex5KidD09/1zPhfZYb2eXoDn9mH34BNfmsKfC1vSCdl3b79MqWLMqyR17JowB1kQOPAn+B3Vn8W89oex5+mG89qXNkcTBt4z952WcuK2Vr20fjLW5AjOBlsZThUCnDtuPGvx8PZhVx8lZcL+jBb83NsfY9YENHugS27t30H+MGo7Fo+xAqeyF/Tdf+aLIzitonLksh22k7DwpZvv+0Xct2hRs7CPtWld9bA+1+XsVcbNWHfU5OlyBoa5qnB7NqE96L9ZL5E+6o29yVO45NK4a1RW4pWRu8sppn7jNW4Tf0yPpqkg/7b1L3htff8wItHOm+MHNpDqowc5Htv1LBNPyBmuO43xIZs0fz6ODP60vBR8eAY+hZug90NS95u2+WdvXvR6qBFHgM5MafFLd6xvpkwWUIPiFaadBP4EGilMTvFcxHgWnoAsiBLaF08G0ElgrxziVMnUuBXmj0Q24IYjLMblpOfsUG0d45Hcf1qwFBYu9C1Og3UxZuds3uW8PjC+RHrZTBfolG/QZWLGqY/2ZyXZgnckbzwzlxwx6ItlQ958PMSTIo8U/70nH7GwCvpQaxDsd0pd9DWxMuJ2FnK0RUpzA2i0x+LuvzDlcj89tbnvVSztvmZHiAtqjdugHaLnvpqC3i7A9TeDd8cX2c2NHJymawQ/+qzmhz1SKyu7rV/wSoBmAC89kD3p7tf2v0S1nQQ48TktxANuegRngpyJJmgi54KcJH6dBRRHs50lWDH+B/rV1C7yJESoRvR4d+iniqQdbUE3/W8vpU6mpGttDXbSqZIc764jlRZ4y01P0aX3zlblmlJyIC26DkiuqY52LfVsAiCTUUYGd3aQinWd8qzJOlN6nd+0lhHfJTopX3+/bI+/Uu2ABrAtm5aqZ8KbuMh5cHdHFTk9qOtFL6VegN+81n0KBpm/Z4ZsEzZCNpgM+yyuU7CknRxInGz1sHsCiH3yNfBW18szaV/4GbtwFnWPgOVfcZE/tPWrRFNNOdiauC36twC/m/Qw/Hps0PGzykWCJTVyuFGKymrQANRmliMjsbuvaBce5zZGUmHQCNBrs7df5xpybCV848XVBU9DlaRPqufaELNcEYmz7PHo4T6N/C/fE9SxS/xKl19R2MMD4qcdANtwsl972E8NFjcR0xmIu3exa8ilP+fYs2G8vgmsdic+LOLi5c/DlYO9r+fMioweVSlZy2QNL5VwucSajK/EMWKtZm753mNGbCrc4l9uTsHN/hHbSqFyaATSKA59fmK+m06UGpnvlzhHn8Dx5zaPqxTv8uVx5jf//qHq3LkV1rn/7K7GRGu1hIQREiU3IBnIGxFEIASmlFPn070yt237+70GP0WtVtQLJnPP6kblJhedX1E9S0JI4TAhcD9g7kgw8LWOtyeUBDYIeVa8cc/afc7wKLf+qcH6Y/LPzyAPq2AHYZQq6452b6jeggtio0iZqwC9vLfLamnnfN2Am0JP8Uq/8ldLSPe+2oHHbKUfli4JfqihBquNXVnCf9kiYecfZQJjZDynXRcVmdEY+K/vm7aMsiKNOE2TAD1hnRZsL4CXQ9CsGnVSt/gFg05G9/Tezvx7AGBbY0Zi6PkQBHzgRDbBvGdif6Q245zbRjZZA63AdI7mVor1mbH7nYq056x/YmrPMQQeO0B7YwdTe44Nlz+ffuTWkqsCO2ep3dTSvlQN7N5Rg1+a9MeIMYni6hhv42bFBCtZJWRT4v+l0x3bbveiXf++IZNf+TYH1gH84rOmz6dFY06+VmQpChx+A8UMabk+gq4bcATbo2w34vvQc8RDYVZsegkp/3bh7hZiHr8d1b3Khgbnm41nzATTjv3d6pwjdSzFZOJY32qced9qXfN1fMlIMnumSx6g0564sIN9qUEUaTaZu+FELb6Y0eZ0HeaUCfYigXIBl51S3JRuSCmy2ox2Zsf3uIQnrZSOPOShiXP0F/Qla6I/TGCZEqspHPZ6F3qSWDk4xcBiTS8PmK+iMJzBXJ2J1yoveyYbtQoAJas1TYLr+ZN579shqTG7J+C8vpVRWfwP/czzFnx6s2V/W+Sl3Zqb43pI2SkqrX8kqH8yZTzlLDmZmOLHLZ160wFQkxAg4gW3X3OUV63HaUDkx6/oqhQ1+A5ei379jyjFHppeCPGbmXYRteg42nohsi4DvTG3/A/5AbOgXiCF5w/5YykpGYvELN3NSeXsE3XkDP3ptWLIq7nOTiwBrIkGL3HJYV+54734pDrVDV5memKbW1/3dQwhYI6sHnsG+7c9iup2ChOIh3TAz77uf4QPQhrp8U66fjui3A3fwoXGvDxZ8PlOILbCPShy0gBY+KMzk3zvYgztp0Bp3bGkXfHp6YjyqrRT8Nf+raGlTM6f2NQekLxfsNB51PCa1b+ZBuOfu81nBd4JN2elr+yNDZHq5J6dw4lXIx8zk+zpf73Oin3pgT9AxrxPtNywEEnWnzTlqndLle2JlrqnZLV/zi7PUZfzTpaZfq9Fm+dweXH9UFNbZ9AAFTi9f26x5bU0flA+89reDY2a5oTdvmL7HMSmUw11ky+7TzujnCxf9UwkP+LP/j01py6oBczxwnYvkh0etV7Gre7AwIsOsz7zfcNNTuwdLjdDtDDFXXuanqUvA7r8zjs3RyTzTG69i+IJX/DxRDZ/VWGfm+Wk4lTxQBQs4Ki3Qw0GCMzEN9Uj2QsDahRrX1p8HZfYPsNmUaxLKETxPj5/grZbGSUxn73dOe1DBv6c2EvC5XS1SB/wV3Knvp5GawF9f4XseVSdlPWwLeE5excFmCnyQDujh/msFf7qKy9YX8adTIX6vI8+sRU5H9ZExeyftf3mVOC+UhP22py6eKzEVtAC915setvsX+JCKWFueo+lIXnOUjzLKDL9zfyeAkzNbd9j52pw4XkS43EHgdHmIiVohdkSpk9qa8HF6v9O7SZFBTP4y5/hmxtADtFgl46tbudOhcq+/fYbNDIt04JfziNNaoFS6iChh3XioKxy2Vm4nHyoGLnKTH9D5sKc98NvqBOx7h7X4904Ps8XCnexKMQ8nlDiVMyVVtHnhGM0sur/OPTqWA5rAznelo8o8Bz+8tjbo9h0r/EgU4B0Kbt67PavIG+pO6nQgd9GBemfAAsJ+29fCLJSC34rNbGDwIc9Skx/gWTMHtTI9wuiwaMa2V1MjAmvZU+BwbrX7cyR5tZq+RS0FLnimg3qQjvg51Wae499zmJhaVkmcN8/fX1XfO7DeE3XRR6PRigP/BL5ZAK/nXPMKCy86I1TWlN0kn2ZckG85bBzJ+VL33IXrDEBNBGY2AHPC20kkpuZLiIi4YH8sG3j49lGMPQ07bOrwzwbbHGIhA/+gjtnQFjnCdr67vwTXDNvhImN/KS1T64hXGX85LNr+pZHS3LobZr2CroWAgoFPpwdfk8D02cr4v74HoDDQqUbTUjN9yOz+CVrsZPL0sLBdXHw+z4KsONo+qSYp0cDuXFrAbLFA6CcX9oG4fgtx1sKj7M17ATJArAnVhq9yOfHWksG/evOxoag882Rh8ZdH6KfLVu6x+PPBQs9Lx3Qxec61i5ByZpHTJCjzP0seom9uba/g76/gNyR8v+njY6tOpSVvNmJU5gwjZxRfWSTfORWSI2kpZs5E2hE72BN9AtojBT/YrxDLHue+HUrgk9qcvzJvMe8k+JAswC1LE/vH3EXHBvYa7eFhCd1CLFxwqMysDcJd/0jFP1vWZp5FtrbfxMFFverHwQ4dRsmhGfduCrwuC5PPuITpSF4Qa01P4Zgg8HugW3kMe5L21sFwulgwcC7EZtWCvWDV4xswmF2K5fud24PNXLDhbp2FTc7jdXO07JUajd1LPy/kKq3M5H36p4inNdIno+XPY+jxfrsrma7oylcCvqyykKMCvWNjAszXrOfoCjF2gs9G7/qUi+S+JMMfC2Ke6Yv+rG1ZAevBNeI9tpa1jvZLOep91mGrQb5FAvYCJgDdLIfaaZlEfmI0B/B0VkX7lfdTAP7gJShmjTMP7P/i11rT5AL7kPNheUr+tTH9G7neP7g1wz3NVDCvbQZyKV2IUy7KmgD9rdbWqWNtZkhUBHxaE6NAuqQ6hd5RrfpissThKfd0/VzPnL/PsifgwycL/zimhyvuzVnW80EcZudxIoAbLk2cnEioGI2xQ2LUwzXMzMboFLVT6vyelw8iSK6guUzP5X0zko4CNzZiY3LnX8Bd7/hFCW/3p8jEGmTm5P6tkbyCP13xqL5zjcqM+305bL/pQPy0nyBe2DcV+zsuWi6HzDv3vGeBCuugf/E+22S96lin4Dt4T2l7z/X1XfN4kJY8qfyPi53NxpxjVjbYPdtGwAGtOb8uhYpLS86mdiFnkhHTO7OYHjlrOdWtV4rtArEzh2c9ihDfweZf+RjaoHE3mbAcYM5/vZ3rlbSNeHpq5CMw+6ah6nTuvtaq4E/q7lc6bIHZMWKml/k4rY07JQzs52BnL3huKY5wlgdJlUbkwLSfqcFGZU8qGl+X49oeIYa+72tXc79gvP17yu8uBu0tOe6p02bVoBbaf5ln9AHPIhOmD+vK9cGeQhHzj8bugR+UBCv7C7rhegqBR4RELJ6MVuGlnaxNwMu6S9/1lbc0bjEP2zCl8m7qKVVh5rvgn8ouH6md5KkzYcKR6W//rWwuzEyMetCeAL9yovub7Ke7HKXGa7rmcfaqdGPmJq5YEF3b7MFH/D67wXWojpSXt7NQm1Nkpxx0m7InCRzVYwEcVuCSRbaZQSKBA5yqK1/AQDaz04VaeGUmXxcITPQ6Bh+9pxB3BfeBR02PiQR+Q7/ncVTc/u1dpVnwdTPzZEuBXyogtGYTz2g7AlO2oD0PTcSss/68NeO0waL9kfk2S539Qpw/C48/rVOs28puy3RA+qylB7Ykq/hz0/TqzfN+Hm68xko2oAW+OVN/lU2CZkiOyuUJG74WuNeWjKEl9JQR1BgbNeeVHxL8RmpyARkvgBMI118vWLsQbDqlsf9kVg9a+7mpX//mpxRKlLZ0jD5PlhpYtEbtlGltk7GlNEBFE81/z4EEilamV3wuBlTUZtZhZC2sQAtF00GhENYA/ZVcv86FlHnUkmaYn9wJF9aj93nKkw5TBrrbJ9G0IVH7rdz2TqiqwB/mQnivGnSkcryfhmrWCI81gT+lVOk8tD1qY1KHvVnn5eDykVqKN5b1rOLpenxtv8Gft2X/j9k+zgE5ZvnWFgP5yZm+EAv8ZT7vOPMmEbb9metKFZLUTHpYYALcu1NB46ZsuZTA8VzIU96Z+t/JIdFCamv5AR94yZxtktvqgvvtv/plIvYrG7Y/FUsuZZ/cwUf9gK6K2WXuTE4JcPLe5CIC1/zg3JzZthHTU/tvjvSKWvNu4jxwZs5RlNHD4O+qEZm63A/Rq3eeHmp+966+V459g+dv5ldiM9uRC3TFwOaYtSQbkmfaMaeJselnjjKeOWkBO2E1755bUceGH/GE7em72W1t1vfmDPHAfuMi+l/t7ZwJneRNT35qfnWkCF2I3Sn4KsOasBdVBjoep6Hns//mpDqsJyR1soVqiGugOeso8UsL+NWZOMTADvx3KID3hJlp1duvcmj5m9kqyjcMtUk+8IgxvTPzVBouv5vOh/2IXdhn1xShSx4toop5QsQ2Mn0DCdx6isInZtsbjtSzCb0yEwlXdmaB78kZPB7Wg65eyZujQkrRXq3+PkfoSYU91ab23PQvMtw0JsdUJ6G0+S4vyFP2SwV7vqwD7vDL3SFiqaoCV3nsp6b+ALjrYXJLSIFWwpBn8rGBhd4+6lUWOiLcnw6OyfxMCHHZS0am9iEBBvt6STdpK0tvmjG55AOsk5jM7BM3LchCkDxxCziM6uFcEK20CqSTFKRoQ9iPbc6SB/D8uzawrVeTi4WDTCP4Th7lFnviqHnC9Zj5yxb43b5isgSe2GTAcBXsP4hrI+j+/+pRogWDZlhOxWTXmjxPwnqWPMnEMNnUhrhsqTf3gs9sgC2vZj5JAPriB8I43NeSNJZcfvtYO+0jc/7YZ/qbU+OdmbryQbbKvFcqSvdoSR/uuT9HjV3l9xV0U1F3CTCyPwCTdGU+v7/LzgXcjZhoTtsSdOgzhR1I2cRUSK7ktZ3ronWIs+gUuEC6aoOBA/J+LjjD0SnSlSgy6xz7A47xjTP7kHN/OazKOdNwTdHnSwxfb9/rHl7zCWx0jwVoE/rlwLUfCcQmHEkCfw/ALkGXc6u2gQ9jMztSp6AngRGJzJ0SeHhjHYFfjy6sZbe/Uavc5KN/amLuMHPGT/+dtUV1XC4MSbe5bF81Iph1LSaUXNLLNs4jGYMDj5renMn+9mAFn/qbg9M2vWfe54Lvuj9S3vLKWnY87G1hekoWpErD7GnyLg82efck1L9d77vkrobEA98EOs1oYn2HPXvjpi9Dz5fU9Z+VVpOyVcGdCR2sFPTMsj+PsgQf+5Jd/zSzPpr8z0NS5IjAv9XivgJnZ41+n0nNsuRfYP9qPVoqzznv04D8pCghtUtwWbQnYnkVjubf+ubSWa4V5yeIUroO1IMxPtWv7Q/E4gNHU5S5qUUQRuWIZDVYiwjkTyXetdL3p7R4x3vMeaFHPmig1dStXfUDPmSS/fx7rsp6YA0r4eAMAs7+PKm1N/UydmpPBzFyk29zwxZ/1D3icG2mb8+tsYnItDRzYd7nX7oOZ1JxDLFhfhK0dw4WfK8tbwr0D+2+HFOjAc9iAjs7UeovCvHlTFuHhr+z7p9VCDt3MHNn96Cjys3J1Kuves871PEOGGnkb+3Qppo8Sme2TC+sKt9GpJ9pvqoXF/i7YW0IcXSu12xzsPVcRduJAJ2fL9ustO4mZ2ZO+adNBfjnmLnUSj2MdHd0iSWCfs0j5Wbs3xnHpnH2FrYb7+j2Fo7I3xNbIgGMc7TlJIG5aoc72OQcrO1ewr6QVoIkw37pfq11oTlw+4YF5p64I8LUTV+wP4qrizsZsKjf8Ei9z2EdFoLGoNmttKdjKXhVF8lBOWaWD/EogKwYmSto8pFzeZD2FB+sxfSXB4WVmjPklMc4Kx1rIZYdNpF3ksV0wI4dMuCJSugMmOBf/jx2p/AMWvnoTidTJ3YevM25nzL4LBt0MScBItT4J4uUdbQwOsrvtPBZ5RJWvu42XfdAoVIwFw0kBrt8zRdMG/fE+DfbzT6N/s2vLFmhxTnY23INVyZmwUdgC4oyuBedAoodXP9GUPIXbDeR0WRmOLmNZQdg4z1Bhun4Tq7AuGDnZ4rvcM+xqRlilj2BTRLzXuL9no2D7XN74hVomipSNvg94C70Y/reUYSuRHgF6BTQKvq7GSaWrxrTYoqaET9peP2v30qg4wr0IVn9kEa4yHpi+mStTYR/aPiPe4vcmSP52na5bvvMYbemQJkUWwK6muHQe+Y8tWqHHGq2ZLDHd2beEe60VLvZUR1YxJg8m3iaz4MdQAS84d22O7jZ4xzqA0PIo2J+z2vL6nFyKDK1onwVkf0hxszGhT/zaEFceBvgO+DY0hWX+aNxfSKjdFFRWzT5Nji+/nigb03+jXfuCM5Y8l0FmQv63DsV6bMOpDn3fGuie8n4prL+PCuwVSLaV8P9fbXivKbty/SNo6G3ORVXq1n3G+ZOaelqQQbe1iMwssAzsZJZDNsWQ5SpbDPnEPYym77lmlmn3XZT9fidD/BskDS9lTu4px7vZlw5fx7AgKQevL6yeVkNSUIv24H1KjhaoM16/g3+6QT7YgX/DjH+afLQJFzPi4LHBC6YwAZz5mBJB+xkHX73MPHS3szahnV3iFXv7ktueWPK5hl0agjcgEvr63lihJ7H1KUFNvO6vP9q/H2uuJlrp4ToSWreh8A+1vUIz01nD9HpOwZmhGfx1g5XYNUMfM8A2uqQD2pVQn+b/sMnBPbhoiPojQ1o5mtpOj0NCLH+9xxI8HBj5q0ccoh1FcQYaaGxBDkB/MjgGR9LDjpuTZ9U8zcf3oD7unPXdszMAgctcOb7DQnNfHm8OwkC/iR8MtBBIm5Dbk0PEalHGuPjuSs9NqIlRTxsNLmAJnFMb6fSJYsYbE3cNsq13pfj5/tsFIBvOuaO5xxsOdIY9C36sjEydW7Syl1TL9g4zRgapvEziJes8APgE9iZwN0CGMd53tRo3kErwzvHUicFxECI1Z8O2PK+tv6892Gmei+mZj62VqZe9UAdGVaizTJ7umBX4vPwx4FnKZitTf/p23/vo+T+FN6BC/yFB4hjOzU5MZz2xjcsJI3IPR/2r1MsozPl77o2mcftrQp1WfbarZAk6TA/TM7oeZz8g+3vwO+kGfjT0vKekuJ9Y3nFOU6sVHBg0jYu++XHTF6ggXpR534ToIch5pIKlbfUzFei/jumEMESiVdAASeZqp5QUTC3AptV4eKl3Mwql/15BI8V6k1tbWNuKZZz/aP63k0F8Aco+WbUWsGubJz5esrnq4qyW93pixj9yPRQfOdUNKvJEZWotv0Y2GAP9/HDHPt6NDNkVv19ikBHgN+ux6RMWWt6JDugPTB7bW2IhboWU5rHE3A8CRsxXwnfw/3cb2SQAhh1AO39rtcT5wI/4Tmm4E9K5qA8MzOLRx+4+bn5r8+S6Q/cpnRADh7VA9hO5A4S8Jx2Wa92GGEHGOx4pv4V9s2V9zxodA88qctzGFqp9S/HbFFD6YmOZGrQczb6bQncwcCeCHjidN3fcIf+UlhjHLY7xojpd++ykO+pycUCIK+1vIDPuzG33Uhz7sq4yEz9mi2JCD1hetG+WbRk6nGwZJoNoJsH28ai/YvBbyuKYZ/fYc+TB3fmEPy/24g/z8xtNsA9fWo9n+/8NQjfIwbtAWs3n8PkZXognDg2vYMsZqv3MwxxgZbKnOkF/ECL8CU43lUWuTXWH4s7G49ZoSO1n0rk30A76pyiNbW4Nr3BgYER6K9Xvn4ttbNNzVxaNe5dM6eHO/3j3H3Z58v8jssLHnkqV2Slw30VBcb1yuzU1WPGUAG8PcNaVWRIKjOBEPwHML+65uP1gRkWpcvLFPY8dmbgD2XVvXcVYXMDP3CtdSIzp9XN+H9nHMDVrullDNyVnEe1qWICqu9zxeaM3drueVzeTtT3Kwsl1ajupgYmY5zi8OkwU23naPvgXh/gj7t0yG6Kc0d27Q+LpCOK6Zr17/Plu5WJ9IGRfz136StH0wU02JKa/sVds4Acv8jC5EbvFxra4C9aBLExLsdkpzr8gYE/qzHxgbl+fvORrOUC/tZmgfYBm71s3G/q/5vJ5SkzHJH2S7r6jFne/rhiNw/wPg38CPStxwr0EOj65qgnCVOLalnWXeic8q1LQC/giAPboBV8MANOPZ1p753E0qsO7Svn39noIRfJkcDTIpe55NbeVQ4ujisSFPincZCZseSadzaV5f0oTqZSLJs8tPsmJBbjfihXOYHPOlAaLjn829SwsdaYj70DXKGZ/a6Vninv5z27/FmAAx0K/KkiTTO7WYArK5Pz38RaArsk2FU2D0E36ulONQJ/kN2wg6nxy8pZ/kJMPAlNfkinj9JBJsfBzGQQdeC/+wMszOEzW/WTOdcVGChJkTmL3hbAuDh3+aV25HK0wLc63nfag//u9U/dYZdZ0wew6lSJ2U0ZN70V28ZFY9OVG2UBB9Bsk1vglTl+xy/BqdTgB37KjuzNSUE6LFNdZBvYz9kJYiI8j/v5Av4F9qTskhPEnL/1gP5CTLOal6mptx61TXwcwXMTk6h6z5yd+rXF/4I/Cs6Iv/nwxqy54uGEmLP1G5Z0BNZc7e62dEKX97bD+8XMdNfm3BRi3Zwz/Gw46HBLXgXX+ypQs3K2nCIc1KGZi/DnqaKkZF3Sw38PZkby/74rNjU0tXVfmh59gA/VKppkDaoP4tgK+3ytrK2Ff8+d5vs5xLe8QNbRTR0yqA0Trekn0smVm/nzK8SUY8naSRX6SSMPvAIDsprePurF3akXrE2A026yQ15VKJuGxD/31oYhgF2dfJhaUsoJT2PQtKBRMcW3yuJjXfQv5uq+1tc1DfTAASYbmgzngd9lQUwuGmcReeelfGdr6Jx7/FGaXliDtDNbP5sQsTNKNueAR9RqwWrQoRL2XBWt6ZENft4GK7OL1PRWYVinsdxnVOfgo0XGNub/ccbSVwX+2uT/vBmgDuGjOn9/7pM+t4nOO2n6xz8F9UF9qLIcNa+KLy91VSnZ1cKsDRjsuhPSS4OAEQd+aID5zwHqqA7XzO5tNTzdU6yiRujUeNe371WoXQSS5dFNOAeNUbN+k/fenrvc2HFlzpCBlbuqmD7MnFlszu/gdxWbMLZAarugASNUVujTTbuE1gN4LNruQYuZniP2Wav3mdRDotKRveR1ZPrFk4ugaGcShc5IpaYLPQvURcXpC4v0ZmZv18z+yVdy44V8ggZ3pc39RrRHHD3N7Au4xkk2lt6nKwY/4/8AS7z9xjMtek/2CzDWlIoBfZc5cDYrPdW3r2rYbA4rAz2MLiwGTTzysmEzToFomkHrJlA3iNhXIRLPzE/FZlZChOzS1LR04UMJXJzEu37ZzKT0Bhq3bTUSBuvdYps5otcMNM6FrPx+5j6o7jaiEcT7QrYy2i5ETI9qVZESnuHPHRPb71pkr8wlXebIVQRgzrbpey9/Utq+bfkvaPvIxGnS42NK94+SSZk73NSLRmnkzbxoXqfA7NPEavrf900nfPlj5q7Hp0AfFFObzPbtvOdxvttG2NkeYO28pl86sLEX0+xf7pzU0wtHssARqWrgATUoL7cUrR3wsy6KmA6fwGBgC0lbu9g7WJk5v9lUiOy483zxVS/nELkStX3poLRiOsCar437tZGxHtjYlv/2/IhpCvbbvOYhZUrwQCe8lwXYxgaDz6u03JNekrxob/lrHlmoSGYlyOTTSTu04CoDrnUENhbx7tOpQ7VIjjciarwqtEs8/KuFIZVt5vuYfkboplz0QQdvJPrrWQLbiDipcjG/BEoI1i0B7dhVw/WVMi8DP4KO7pfbmPzrmFTlsH/kIezYy0wOtoI1lqHoTX3L8u637ElKHNPXEbgaeJNvykLdpYD9MQDTdz5nl/kbNNrpFADLDYmZXRAyPqXnkJzyDjsQi7/TgEvmeGnKr3bTfd0aW9um93zD7ktK+/d9/fynOwjEi/RxtOXAHZXnkWf99mVivZeiBrRXtoH9+HHK/zj1+rmmLg9UnHnYwiv4LQ1MFxH4znOAg2qQ+Xl3X1m/XUBbno6O9f6uB+iPMWfyVHUc17BPG9DbuN9+NBArD1ZywE6/1L3KqxWtsM4ideSY2fxURQx8wGYR4GOl4KZP7iOj7ffB4YPsIAKHpoZOv4Bj3u9S7tmoE3hWc+bwAOJVcTY9+AFIU7d8KKatE2U30pFdNX5BbPlaacQeapXffPy6VcC2x5XIyv68HVw/q4fJZPa/SheFAumZDO135aJ/vEGsJYL7kecY9FyB4vx37qKvqzFzQKNkPJJ+2WcL/L9WaLTAvl15Fy4QX2gp7AD014Z1yjo603gKEMUMQYz1XjzwDzXS0tj0m7EbqrtsWGA3LCUfw4W7CeNFElRjatPeup0ZSRv3c81H/sCxPDDdMtGpn0psTW9PzGlC2OqHKdIfEEuvJAA2tZK0ZPYIWgGfIvR+3zulA5d1xx71qJLf2pDIm3Jrf6Nj6FQhBo2rFxFatxwRrJzpIvLtR+qoXo2p+/v+gZocA/xzLlAr49bKKGjz0ffZbvsDPp+nXf+OKT/50Njn8OtxgmdydNUgut/ZFReIkycWtl2p9xa3LKtkuqOojdMg2QPr303dWSoWr+Tqg/Tto4R9Kro2PMV8gfgMzDzNdWRfm8h+95wJuPP/61MLpiWnxiFTYyU7826SWco8XwRs87caPx3gCWLOkHjHb1UMfjlGlNhoIdo/1jHe14E+Nc4SgJa75NbTzAB9z9db6ljdM2fx+ahDxtoDMPsxFShoiuuD69KqbF2IuPcYbV1gJQviYXoOyB10dCtdiUlof5wH/EFhXU1PmlM8ZecO4QYYseaSqrh/v4PtRSE3J9TugTU/Ttz/rd8CffOX/1e/9U00upwZBo2ePEBLJFzgpVrbPjc945EOGlu1sA/hUxOUO55s2N4zue/KLW+wb++Ckfd6lThIYs7QTtktOdrtlTt/PKx9S6KvG7CHW5r8I66r2tIJHvSYQ8zgfSIYA7/v2KY/0o7b6Jo7UyU7/wDaMqrM+4sVaMv1v0XkvWvo0JnyKrV5y4dskfRzbQp5VJEU58jMzlK6YvOOD2qfDfxZD1KWpmbcSqjq9AfE/xCP7U8q9jcl5HAK5F0Opu5z71RxAxqDIBqRd00xsPPXKnULO1D9ANO1xEq9SlhOBrEXh39u9fjpmu5LlWXqLzUuh+Vm6sFMP8YTwzSP1QF4KQTb26nQG7n+WomtFsZlkg2NVw7zOy4Hpruvyc2TkdydAl9wLjOTewL7Y1OaOS7F9NsHHH4HYbbdNauuqoCwo+X5rNN/yRoaf3mVoEcF5e0JNAELvY+D3VqGoFS/fa8X2NJ9leN+bUCflcMT+OOPqR+wuKs6OqCxtPdOLraOem2jFKjpxOxFWvKmOjnlLrbk6/4gXbmyaL+ChrJ45HmN1jnm+Ah75kdF7N0HZuXmrM0GLXOZT5LNU+kmd1r4Inda0RTZ0hSTS2KNIf7dU6aJCu+bk0imNIbf09Jiw1JVzt2pB3sDWskG2/n7mwMTbp9pZN+5+PPOn1+OjhdK/WUJhrgIiNOAzxbszwuz0qa77Quev8mNcU/mDJHpjewT2Gdmv/MPRpGoCh2V4r5Ih7v5MP/NA/Jd2eSZc6JpwEdTQ/nWKZg9LRZtUVqAZWpgy06XVahtM6umMj2brPm70ckd9P2Y9URy+gls1BIZTZtMtKS2ARAEqTKLX0w9u7TbIGP2cI5xbGaP5MJ7+/ldxvQO2GRmwxSUrrrA5niy1xxUXXs65/OP4XkeSgR+4FUHDOLz9HPumJl38ACaSWr0uZ4FKZp+9g8rsXD8ZdNYzqS3LSzU1Py/uanW75lF2ASfjumx1AiblT3s/7EHjvYnspsD2m/nHCVgm2yDXX6FTxzSzsyRRg/OPMxDbvqhW2CrrjL1x+zpmTMxBesKBP/OqTAz1MoTJ3cy8FDZScAYmlIrycz8F6r9NANrObrY4fHn8+heTc9Wp3GS49n0jg9n52gBkzDbzWjoiAIvoCl7zL68o8Osc+j9BZZ6xy+b9coGNvshoh3TaP/KI+AJa87MuQg2dezD9De1YT87Cq53mmpgIQl7JwXRWYnE9BF/NgHEP565eMVYdcjKYT1PsNeaod9g0DpvXZmidMGOd2g63wb/cUndKZH5/XYScA8CZWz3ZwOxbXNctaVC65WNHOK6Hx/WVrPXH9MrlvKBHCWX3zVNvFIQ3XQyxT3Er1jGMvw3c+FJOtmKTvIG4nizli/Yp99Zh5dGWB5xtFevCfixpUtjvZSwZ9Noiwkyc3D5geXbkQY4ViMopgj4Y8WB4MCVAYaY4qHziL1q/Dcflv/Wk8RTJIEtKoj7NVtepwL4gquwcabgXCQlcH1IVwlMEC5lPxHWTyEdrLXp2e0cqavpJat6uZgJWET0q+hVWVnTtXRlCaz15nngyfIBeszNHfQNHBSnHOLDbntLbR/YLwG9rGcVlLdy5aC/0zVFiUn3dST3UT1sYM2w5A6JmGHSfokyFwgf+d8125rcfZuK9r3njf5DaYROebgtYc2OpIDvijJgG52dQtP3XyUN2D4Jt98nJBHPZ1YNWuS9ZM34+Sp73acUm1mQO9BjoIHlRhb+0kSa1MIGtkXvZziLYbn+1qh17UDGNq+AMQjjR8ZxwBz097+zm3mXBroCP9lT5O/ODPxazzm1/Y0Ms2fWTxhs+UaLaa/C54p7e8q5lDxKYX9t3/m9XmrrZ8oxPVgQI03ei9YUnlCIHZyxkd9qkyth8qEpT4B3BfhYjQf0k3f8hS3vo1z9DYuvD7abM7kSR5l6Bbhu+DnoWL8H1iPvM/oT24ZplC15jBe4zo960H+bYXFBj7K0V0gU/FoygiA22sC6GfwOqXmyB9/+KJ3NcmbXjULom/ToRbrmUcfhrVq1UXIa/IBbsuRfX/1s2CY16IIUSfCf2pwlnYBZYH0xMO/Gkr9noPaQBy3J3aTNGH9U0UzzPgFF2M4Zm591NH8Ae+xM3yUl7IWB1IXICnG1jQ/O8rblvzQKFzMHmZpe3BH6Bub+OdHGS7VqVRA+TgXwFOzdWighgC7AT28Yw/Y5SHjDlNWE4J8L9cNdkpeXbYup/zcVln3unzd12eqUt7t/fmP1O+76XTNiBjq5THtp3v9k597kE/CDBF/DAdVMbz2ICcDoGnEki8yS+8ZOPmpX+qCbPT4sLeijATstht+HtUSOtH7PH955RIscyydwYQ4xPquAx+tiqkqXa8rVD7UsF56t13Th67him67qQ0V7l4STp3hbSmDLo2Oucf4gXQI/71eI/xkeywdo2AcuEipH9s4XfWBgNaDFRzWSAw3g2Vme5Fb/aJz9K3WTH7HbXlUh+cEC3216Uo7hU4BtpwW/H21mch+PDUpMj9Yf0D84jdRDhPIH+IYSk9MSvOdK329ZJ83auGeNpqzzf88pqvXL9OsRZdG6aZFM5trgWTsQs5/A+WMzJFYOnMXDBHS1qSNKSCpa8FXIavLtJEGXYTEvzehL7P7r94Xx2Dsn2u7TMGnBt/xU1OSwJS/ZbwnvYa87GridrzRG11IzsAQC1ohHZmkCWoNVFpmyy3xsbL4/i+mYhvICPliyXvP3ecv/vitn0TTlAud4gHi1m++KIqZM/XMsX2BTMY21JwrVqVEO4EsG0O+l7NoiFeHvO4Q8tPfYIRDf5qpyNWcjMBawYaZRlbtXp3Gnt15+8mjxMCN+6iTWGdhXRFLjSB7JmN7Umj1rJ3mewH+KuHTPRWtxwHrKnjb4iBHT/QbuETS61sfX3VX5VqbOF/BQ+1ON7SN9/XFBqbx7LdoY9FllI1+66gl8SE3DEoyujgD+gciPSWTmg8i01p+PU8Bl2nvAKJvb0dncTK5zutsmJzBi6SCERQsxPlwrxJ9wb7O8bGVevOfD3p2DA7+nfXQyPX9Y5tIufFSMzEbTpnyqUrpfwU4WGWFSjlNaX/6ALm88HHxtIMY4sphWzOa5HqYf8HMeAX96jiZaW211dCXoFPXm+SftQYPban8e0wXi+qakvZkZuJSFD/82XDLH1nB9MTbv46ic+aDzdEXfZ966eYcKYBDQsN7hHHkUNFirNJrPhhv75ZuOvcvD5X95X/fN0f6E9ZAFxPSBDrZlnrm02StfSVmzjWfsz8ytI8C+TYzuKuIQjz2ADl2WbHvIrAz8peyqaIFdCzqAybugqiKOHAj4MByht67EJPj0Kp0EmUXyZk0gKngM9LolBy5z2O8iTO5ssCPg7EBG9ibvUVKKP04e8BvpLS+N5orwz1ft/OYHz8qRWRWUwHXtPXcS07voncOpmdaGy66ggcFm2u8qnu615jc++gh0xiaP0qUZmgfoebA1cz/ZWsf95qx92CNbYNHt/sxapvSUUqRIKRYbONaCuKchbno1/Ze/sVZ99qLRF2ij2Zf9HZTi8h+nhXvr9NtLpnzURfIB0XNHQP9Ip7EyF3x0qNIa9MI5RKfSxcB6OpMxfhDwqyzSwL3Ti/XWg7joPZPLaiwdCJqcqg6nmOoZR/Yhs3kFTP1RB6lbxboQpn9cv33WoX1VVNnlMJm5oKa//IcYcZVaCyVjok0fYOpOlhjNTKF0zSMsa6re7zc2aki9xvHMHIEKlnsRAexBF+tT0TzKVUcQ28zUmSPhZD0jsoCmWarR15UtUR1N2uT/HdYQdB78vu4X6oDfMD3YOHkodzJr99Z6jpnf3AxP00d+5npipSUDGeAutYy9kQvtyk0tUuCljUcpXvPBZqAbXqLzn2qYNk3Rpg3YcsW2OQ5nwt3Wz81s3x45WEOsG8J/vUwpqC752r4EW6yKSzcbPP8Eehvs8cDYDJplkvBMv+thjqW13TFhelVOuQyJOfP5ODrEBf36YNrfKcebWZzQc6B7sKMT79tn9n897mAPASsVvi9YYubCoGbYjqDdvythTwz8ezqiJXdgD1P8N+2QBkJ/MVS6jcavzOE/8jKHeZyYGpn+YC3A6MlAotLGevqLO/0C/HrPKLzD56eKLYEsgBFpvymtxmPWPKQh/+AM+Tn8YTbPMy3/Eq0qjJpF9O1BInmpKXpQK7RIvDf1I7/nayqQH6Yv98FpM9mTlLjZ+xl+g61W+aovzbAHOyJ+FQBIsc1N9co5MfMZU5oCq6qYPemaPbjJf+c+B0a9YSR3wKRuKvh8AD4AXXuqo+2g4umZm55wY/I4U/TWKc45JsD4rVdr3DeDvJxjv0idreav2Sb5fKWXGbxXG1Ft8pUwgghxrUIe4HD5Po+ySKONfRJJpSLZprYChpOnNPADYLgED/OlcuX7PYBVvbbiBH5OjKo895tN05s3w9mLDMaOEVEsOWYc9odD7lmB9ufw+WJiQWXngy/fAIchwQTBXLQ+XMMJeO4vWfV3MzKgITSQy/Ydl0/nYr+YfXQOt4QyPIF/T8x4YlM/L6MtYjHZVOzLBW1pmXMG4GC/DsNnHqOUv7abVHMXWHwH8ePaMPRstE/UiqsKrr/SwN+u/56jat7P6t/3Tc4dnvGXycldz8CnZ+HdIL5+Y9u3lNvc/tf3z4HP7Ot8/pC7+XKKppvJrxaRvh1X3+d96J27EPZsUjSg9GXXeOBf3tp8pdHyUffkfhImh5+bs9JKhdPPOeZDExF4QNOQ997C1haLDl0hlpk5TwMOSEK5H5t+yzhatJn9zldegiZ8sViCHmxvtIdnYKHk7TfS/vqUsK1zyv/y6P44mgnS8dX0vly5tVg0MnXZ2w9s4jLduzXzbtxWZm5vmq979xQkP7RfqnRUznnY5sxJ4nIkGQeNUMKzkCN583xPIZJQwS2mv0wPBHZCEyeR8oCdMwlMn7pXCyPd52wu6wEYcMisU7S9k4Cb+WMPanqJ8C+XC17w3qapdfVUCBpv2ANz+vbhdf9nXxh8G0OfoE/9j3PAHmTkmPfLQ/AvOx+2XjXw7GjdN8CUUcWTTY7wSXT4UrsoE0IHoHUZtRLcaLKjzDJcY3KPHrjf2tUI7CXkuxcc6Gh+qRE6cpRIsIVDKYCrC6JPgrBcy+zc6aBGJehqby2p6dsywxqnzrk3facWnNq8IB05ZcMSs8L0hUpONfXNWbfDRpOnTv4Xv+YLtUjHTR0cxLmjSzQHBmLj9JACi1QjXdooz/rfs7Ws6uQD1nCXirsDsacl1hO+t93IFbsH97oxPVmx2KyySHYy8A+skA81+u9cx0NJOSfO3j5Fy6RQ+2pCkmIOe72TrXlPyZi0z0Nip+HEjuCDsZCLdGZcDjLDa2L9nlv000e1tn/zEGIl2DAxeV3Aiipkdr6b37nfl/OAbmWf+Niak8r0E+FoAl+75GK7bxD4htHva/r5hHW6nrmeuSVnUfieGBGtB8s+OLyqOwY+DrjF2v/OeG2i63pc2ywrmpuItX5rvYYSMzF+wUYjDAkFO69kpKtzxzMzG0CJ+4uGwC1ioaB1TM+0uxTt1LBpl4bLRPT0UCh9cY5PB2cyZ/ZuHuofBXFTrhr8EH+/PwQ+02a24kxGMsPzNbNebTGkt4Olb421rEaP89icx//xFLNP/9UnzzmsyQelvsl/MD2ROyzYQxT4R0BckWFbpcPcYYg5xPnzzqnQVW9HpbPlmdXqtCAtCzmuO+LCvVyFIFEeK1pFmpY9P6oRu6DXN5RKP+c85Ch0sesbXWKamewYmzSxQrehalAQakn0x6XgP9/vAfLefkBsvMnV56CHr0RsCRt6iN1aEqdfzVyIBuGDsrwEOBU011weLHWpOk1ZR4bKUdTMRWkKP0iNnuwwMcyb9yrE4QTx1nszQHVG7SYdyLMUeoAYP9bWHrSeWnmPjmdBXrWQ1zwA/8G2+hwnzzOTB9hvdtq3CXhXp+y43UTym4TLS+kvj3RKgJK066706v6+ppf5zQCgp9r1RJOncr+8Znd3uZmPZyEz0wfYQd1kx8Enyx+ym8vGmvysIzfg9O9TkZxKAbFImzwpdMwEaOdO/aSuDGDNgVTUxLUOcrF5nwVoEve3SmyBEyczU8YGhnKrfm7rSC6Ko6qk/iPXCQW+3IMeP+KweYho2WRd+QKOzUu79Xg/LymsUOWie7biXek8F8bbJHORmeH6fh9FKqEfzLGDPFzgO3SPUYIatg2JRmVt4w2j7SoHb5NR0Isr+aZW5mUdfHeX3qpCXbKBgP6AO7W5ZPbnq2LXF3esR2MnNI+2EJvx+3xZwhoHVdhsCDc9IZSXgvbOKUkPzvYFvNHTAueZaBnr5E5xnpCB7LlGee42T8LaIB8bD/TXvjH1jaKNjytKUvS5yR0Zsn7/zJj3Zuw9DlXWDCo3bE7jdJOuv++sPTrinXJ9zDTap7BTcioZaLnL0SYWRI+jyaOSsQK2lajUEIhsdMyZhhg2/8WIW8r2E1LIXOrPd0y5crZkTcx3PDRzvvbPlMkk63s7c9SF2ghJRz+AWXasDzcE+BeH2iFa5kQn5kwJwZqYnNsj5yg2OVlmbrypJWUcax5eLfIv92AOCPgFUYS33Ib9XoB3By2X6jYQIXZKVxJYMycDzsuBURurdFOaremQreXYLqQnpj+Crkd+MXUZ4Fe+CcW5GhEXMeiQHvz3oN+53ysr8LFytsBq/H5wv2CfayfvfM3C1ubO9A1+ccKjlGkhXyJQPg2VpiNqc3d6yiDJ014+KCsfKTBxbuYJX+6Pumt/ckNMAGQgAN/vN35INOWqU2BPbXZ0Q4c6V6sOwkdaYHkEfsr+y9nMgfd7M5MUA98f3HBTs2kSVL5AY4KdYCp66yVNnbjgpj/57SyMX0yiplBvXcnTGM/1uDc9OVDVK0ERsI4FvDtgLRA889+ZdqijpldkL03+6XdaoFMj+E9pTTt4xj7YEMamfmj8eijGBzniVxpo2Ie/mvjdU/fvifa2mY8KGl6YnAdgln3JVQnc6BxhN9F8dkS0ubHADIxS+5PIFmq3P2c2gX4mA8SdvKHZA/Tl4+CyJ9H4Ksf2xAp0a2x1VD15M/YN9ktr+mY0ZlYfJScGdtVA3KGIe6aPQMNN3+SkataEN8KWOExeVaFvipegJX1qchFKd9ophPl5ADYdJE3NmZWDQWtpi4/ynd+74cHn7VzoFXR/CoYvKpp816Hqz9HTKcV2zuxpzl1cGn2nxk8HGGZU/bSpYvC8rv+qRPvgv73ucFeO00Cs2dRVrs1uO1HTI8idxvf7w6bHVw7XVAdm5vLGqsBqmKMLMxOh7vGzop/uAXwPjtR0XLUQg7WpRnU09WaV3Xug98qDg1bgvhf77UM3wR7C7Xl3N33Vj7WzvOdXWhXsbLiWEEeTycn2BOO7Cvz6OQamp3yA+4i4kN+S9i5m7QY7yEr7xuVF9uQdCeHaR8KSjTQz18X2b+WEr2pI4RkuztnMEXGv7zrEPQtD72i1C4XY/puD6UhTr7yUXP80gZybwcw2SqQIS7sWaG6A06Se0ryfsjpof9Rgaj+9Jx64XZucDu5fwF7+1jw5mL7kDPz3O6bAfUbVOJ2A514V8Dnv1YcIvReP9dT0oAuZHgVHQOJEl8505AFayag3NMY2Y8u14fC51n7N46mlXepyi1zIsC3qnm9KNgPlTf9ybjOOWbVyYJTseQKGAQYPzwUGn4RdYJuSxp/PzMFYub89MHrTAycNPbjtxNRg/pwCZbNoqpqIs7JDhzSaZxxrAntAgB2ARvbefUX2lW7TJu6XlO+d35yxXkW1BT519B8l/3Slk9knqlxSfL3qwm/rAuMzay1T4wIeEJM1WQQjc+YsVe2op+FUipIJtOY3XNMGx/Jty7oe+CJBOyjgSGzm+LA5IgyPxNGRdNRBhYibfEbm7GGf4eDM8JxdZn3u+SGjvq/ibMMRv6aI6NzU/caJC/EEorS/k2G2Ae3/fge7OzhPt2EQb0dtNx3aZZy8uFaeGpJBRsjCXK/A5Bp00V9TK9dAfJRiKZsCfWCd7M4h6ETKraMlcQMMrAL/m9psY+YAslglucPfZxzsHNr3U4iD1GTbx8RoeluO12fmyh9+mV/lKFE6tBVfk1RG1it/bU8KSZ0yFcGzumVOY4GGBZLH/bkPnypgr7xfZDPg8lw0LtjhuzbQboZpd3SSsNZG5zTeiX+Zs9AhK4ibOxquu9yogGSlZlY9oCQfmifEix3mMuRC/VQQISVL17LTFyIwJl1ywEH7wM4McszzFPDqP20+Tm4t7s9KTK9MyLYaW2m4HrR2Rovk97xfxF/Pxi5fNEI8j/ANeMOipj8jM72oSAysCs/fB7+bUNCogWLeDtbvkMN6Nmzp3u97zzH5C7jr5KAp4fpL+M7gFPsOEcymznw/WM0CCjpS0WyJfr9JC+2cEOgqYH9p8lOtrwUYpZeBwiXV40mUlgj0AdYEtHcLn/Mvt6cADfub46p6XaaRHGUkDVsBwyTwk5lyOwkzbnzj9noKNYK44OV8IvmqlhMHjubtkIvyVqGk5aj9Nj1SUtNX00kIPEPg9uV9nlL+xqNeCtKhknFQ2EKa2aK5mQMmAl/mg23X7lSC/hep9fWEfc7hGXIV8SS1EHgmM5PL9liffEuupIo1aGE9VgDDpfCksqbwrc1TN/EyC9af82/S71+qD216mduz6ZodJhbE+Mc5/n1X6dbBp8P6+ZKN0sp45rIwOeKebcybcR7ojzRIZtAla9mrb2DAwnQSBu30b3YwjqeOWCoF/bevA9mfO7yvBvCZtHxUsb6RfBukK7uZPv4psAl2vmzTQ+T4Ai3gyt93KcxpNqC7v/FrG7HLFq6934hej6RHV6Lbf7VmYC+jKhjoLb4Bn/hgCP8w0AmgL3nj4EzECGJb6B6s9taA9k0F/in7rZsKu2NFW3Lr69HANZR8glDrfxxdteMRAQ7MXqfdlgE7vvsezOfeI80o7cbabPCoLPi9Qxp/PqohcyE2hlLIrO6SAZTjK12/rPT1Z1Pv5g8xeBOwaAn/4n7i5EdyvAO90cLa/lUW846v7bXJ/9xA+r/PHX7zRpT2YXnxx9nMCCtk1wyePGtmgxaKWbgMJ4F2Qtw3bNB/67h04Hc2+UhcRdGRrbw7AE+VY/bCoi2Yni4q2NsmXwYLUtHx7TfmOB8Tppi8iNCOQVMFhLe7E29dzjMnd31gGPytkD+JGCjAImb8wBMCigPrGuGQbMTof8P1gg2wzcEBZrWvwIxJm/beS4xsLd1/8xAfYFMHzLyH0G0v+FSC7nwJ0H6VRohZ+Ah836cDfJ/TvzCwfor2VmopHw/qcY6QFNH+WZr+ua8/j9/81XgqqOOhU4BsZk0ZG7b/+s9DhFvPwq6qoJ1Kii9mhnFKsQCNeJIWxKFOzQ1otCZuHiqCNbvc4X736xnBdb1m2Lf6Dnvco0LCmiadLPYusMeTFj7OA11ma/uOKb+9L7MC+IGSW6mBVxBQAOicczjvcxvnZMSlQMRJTX9Tt0UQo05iJKYHUpcW1xvoVas0ObOx1tWwPWa9zQjl7tGRG2yTE+nfdaPzVaDQ4ajxVL9smhVfaohfaREu8PdXbuadG885kEyOZraUdsG/HyqTuy7ubmNy9ijZ19E2x33qEtHuDEtIa4E4jiL5mn+qfH7PyGghbmjpLCem1VE6SUoGOdXh9iEjnanXfJKuOoqYOXkI3hU0Dwb/cHhtKxUl1uE1f8jhakGMMudMASmSo2GVSswJ/GmzVTuie58TgX0NaCMjDj6AwN9JXsEa58PTBRHBVS8/Ust7pY5dnAMeA/OHtekTwGFHUsRqO8mqfotq2BFlwbwTmw7gEzrg2YKI6w2Y4kIK/H5HFNdIujRKPdBnOmfLBrt+JN3J9HxG0rKPKtC+gvif2/4EHMJNj2eIo1qEs99obVXh/8fU2y63ijNdw6eEwKS2fw4xAmMjB6EP0D9ArhAQmNjExhz928p1O89bU1NTe5Jtgz5WryV1r/60+TIbGW3vTdggOWwHGi6/OY00pjfZLy+O7ZOYBBDnMOfzLpc6B60b1EigykmWxpCFyW2RybnMbb4/BxyJG4gLhEHEQmfRPhTKVirnA8Sd4OASBs+7aL4NWK/fG765V87fHf1USf+djGbk3HFykQyw3m3d211//bva+73c2YbZ2NyBC5qMgx50dQZYds2BF9pKAJiTjXbps2HtU8aTx+JEEkfHFcJPWBsf1P3zaH027uXOenOkzMAYfnpN3H6RGMfAYKvjqr3SQYh2QZJGRp2x9o9eW5xinKdSmebXJ7YFHoMmvmqIfUkJn8PUrt2l4dSSSMG4q1dd9gk0kySdqCifQQsvVyHNLnNv9zzcL6Vj/Lqjqu7MO4n3Sw7xLXf2Lmj/Y82Tg/DIVDvzkrtbDLprYY7qeGcuoMk2kuu+Ab0le/rKFTGgS056zK6NR0GL6pPowoc0wfeJ02PuXrx6bK/wfF3jJWnO/V3eNUszfC7ncAHGsUe8RxftTp3N4z1FmvAQdGAEetRp7nxUz2r3dy7aCw7f1Ps9CxPOAS9++4+j0vbOlraOuMLclYBRucE+HcUOPsv6mXiAtwQ0bn9mCZZfNudU8XPfeqCnie6TgkXbmQ3mRPr5z0NSG4iqEbpVEiHbY8PeWYMObqXcfgGvoUdXpMD5Z8mTRf+vj41LI7E/xWIWO+ulZusFhJHs06U7Outobx3EUuCK701+QxD3/uq/TmL6EEZJHbcrrG2sXMTOwvp6w+rGqgWMWOUgPtJBVefd5105+AYc2NRMRXnRZsILCu3pkg1LzyUB7U5OwHN8BtEE2OpeI/rKnYtYpLkc211eTBTGcS4ZPYBWBFZHqLA5V3HoM5fsm1BUbJjStMM/1i9bxSrTo3V7bXzFhI2PMK7TOwEWzFbsZF2bHz0SVOGf1/1XZgD3e+qkbhID33V+ewn37cQH64vbjllnEMSIY2prpmW4qs72JA6KkuNVeHg88eZaseAjD6kLrLM82vPYNRn4LnCIy+81rND/my/QVyajiCSZwQmsjTgbyRfESusB/zw+by5wo/k3R7oHPhqbC33/5512zZ0WJj66s1977f5s1JvaJW3DZ0ULUVbRclc7MZS9v6SDeZ1v+HpXwhjg+Mzt/VoyCmeRwCOI7IJ73gVUA/Zk43+PM6z1o+v4KqI2L+7GJHFFtBWy41eI0RfCqN9E2xh+z6vzbZgjnRD35lauecVKeOfGLYcMkdU6oPRXEUPcjtXaoP3jsLZevmJbv5oBftuzGxiXvV/vgh3E0ieFmKzY3i/RxSuNKEAzudWQvOldC5ghno2zpZkzv7x0IPbQd7WqnDszrV1qzx/h/Ulq+z7msj2IMBGnsPWUaUuFzDdxEl8M+iD69HnGgSo57Um4verQd1kx3c/FRETkn+ooea9DGqadePkDBGnY2sj0LFmCbL8Y4FSFFpdH6iyjjAX83GDWCdMwupzkFPDhNz+U5yFpSfj5PHpqakK0ge91m46ecqa/G6fNakO/rY9hs9LXmfmJhP82wJW+mzUYiAjeSGQ7KJl34dmaKFhXz/lIAFXraLqkO71pBjocnRQpiL9ZQQwJ29MpQj1lpJIyfULM8BhvCxpn/ompiXTqdceRNsAZT9H8k8aTzZwF7pv6qdviSqo4RckTcDXPHHJioLWl9BPBYWxgP+fWIBbB+vDS1eZh08F8wxim8O9H4yw767d27tqB9X/5vW4q8ZMJSu0dDY11l4eJm4L4yzyDOLN6NXDKHjQV+8+vB5WXXelnK3bzHt0apN9yy7v5P+Azvz0lpR1LmHPFI+BidmeJ/5dXecL0O0P2rNgcK2f+Iu/zrokFxGczZw5ohjXzNQoO3IFZBUWo3+ei3gH+DTZPaVY1xPMT6/2ju/Fszb7ycMRGeiScXhieeuUFf17cEu8fKg72uUvfcpPwqve/qji5QCwC/hU6wFLeYQa5yv95SlDX3qMD74kak/TnnYqrgQPnSpBwgcw5GmfSvINGSwA/L8rm1/W+evENKYSoQkwpojnwYycb+JUVnxvubu+pXFjTUwPaPkhdE+UiCCQLrG9RnK2lT5joSQcsr9/2MEebjG8v+eDfmsHQOrrcU/Tf/eCgl9YrYb5LFotvNioQr81dCEwZaGVm7xtjrOjXvDYswHVs60nos3K3RGD9Xrv6qZyZ8JUk9uxEFrqURQvKlWC60r2E4Azv/924f32XNpQvT7Ij74cVMzVOgT1nOXj9AviLTgK0MWruKk5QygDHex1D/DMwfwL4UZLHanfw8AeshzKTZM13iZfjJDqFPmB2+DxhXIhOvDgAOniTovJ2pe4Cel7bbsnXU4giBhyKOJeHiA3sqGTfAAKVAu9sXQOJ2iIfQI/u2lRE1m8MZdbHjBgals7Nhzh2oNFtBQ6w1/lffQqHvcSo3I55obDkyj2soZsBH08Zv3KXdkeUXACjQjUaaj1c69Fw4LPIOvuSAnSauyjAXkPl/pmh9kmAU5Vob3N896DMc1ro1zkb6GqbF2cKycTCozapbd10lBg++PfU9Ytq6J8VhrkwOkjHfuW2t2D0bykHMmQDmYEnPwUjWEWWf8CnxianEWANcBPYWxlBf146J9CC5TkuYc70Ix33Nnf4eQ4fKxW9jX2sGnEvI1MSmCXdz2s9JJWSC669hAKLd8phu+e/fSmnHriGf3SUOWHx3owE1ig2dEdeuhI4WTBpR4WcYb92tgXzMkfDqDPB/SrC71wQRMbpq+r+W87A+8rerKznz2rk92Y178pN19ptQW8ku4NjQu3gqHbxWHv43ljfImd+5elNTRE8rE80vMNFR1sEOoHSUVPe+yHE9STrVCZFMp6jNm5k4yo07aoBx/BcE9lZ3xZz0cLYWv3hHAnAHH1VPdnkO/pTWe763L64jQBu84A5ONTuHObwLrk0G1VgH7Cmz1xxo6NRldPydEhMOTZO6Wxtnx7D3NBXBd8oQTjopYu0vK6nAxct7OmkywrgoqFJz+yvZ6sPWO4fUXA5A2dTfRuDlgZu6HgprLW0VyNgyUcpFa889QCOcDgDdwUNcyyd9iIghjS9DvMOtFcEc9lPrASOdI4TJYZ+I3dENNJ/adgctAFo23++smeN6L+N9a9M+WWhLo5z23PRm9w0pqnV+U3XrBDPjN71iAxAcF1R1jvunDARoOVLwGE/5dsdxDubZ5A3IWg7Yf7qYUvGnUpMtlbZ5j/dVNQ/S5O4Zxj3kjcoFaI4s/+cqi+vdWy9ZhSTA/o6hfrnuGZOvsMI+N4TmIBv+Qnt/cyWXKVr+91YHxn2x3sJYaqVcXA7M1zA+HEe0rbseq8Ctgj/5PbMT8SBR2Kd87AtD04yazx9yF5VB9T7wIxA75qfMzb7xkwVcPKYOcSk/fYBkBjBu73e61v1E4H9fmpC/MVY8E367fKbpzCSHx75aYMTnHXJANoctKTz5IOJuZy+tNz6OtwjWZSAMy0CPjDVcTtI0X6nHaE5Sh5iNADGf/XmT9AjXw1oDdGXa1YkuSgm3oSP50n6ijpJoGCvQgzIqDuThmEjv7bAD+ZQ4uCQOQnw2kQKR0ngLD6M4wV4Y9nAXOZ85sLoqnL5Czc6xVGszOdy4m1o/XLh+d7sOZgML3eyE9eaL6jCbV4iw2gMsWZNwgzYtc2Llr1IGke/c/bfVbnUEHdzp2viAkb/HJBuqbv9aPhf3ajfCJHWEEusBwbzAkFs/lOM53og7xrhErTxW9lRmoOO1mtwrDjswR60JQtOmSCFrV8G/vLDUAucDXifI+Dz1VybIFTmvwX0xuuOfmlcE/xysjhYlPRjDuucM9PD+lsqxH/zZc62ltkTP3pnPbb2a7W2q2CKEIns/SLLe3Vq8LQ0XptWq0jkGAzAK4Cf4l9fhJfWy3pDiWe9Ia0PHGaZ6zha4nftCtbwC+KFBo6lh2aXHKtYG7Zrr2eTpPBsbT0gt1kJOffLjsSCVGO/qXrzBryNZEVwYmOw6mhZXxw762fgLICvq/lOneSp7fkaaBJh89qHfw8CmofsAg8EbpdLlQCvAk5CN3oMN8A1vxsv89hOI4EN8Jptp9f+forUHTTJU4SL0zDx+i4vl/PQ9Ipmom1pXHpiECZzkwoiiAvzxOtObBpu7L1PRndmzKPmCXs3PPN/6NzPVWVKh3xtj8pJhiPsNz4mXePqb2p7icQK0yJJX/cOwvUr6yOmhZIUAL0y1gczXM8x+SAsc1SvctBgQ8nNT9b3G9BnsomDZ7Yq2xu6y4fSh3feQPzBNJ8d2xOAIzGWxeUJWsDjsXn1k3L1kHqC4Qp0DgZN+gTtaqpxKs895WzwK+b4b6cwQcTRVyKTSQ3OUvKLWxlRAc4C554xhxiUD+hQylkpVxUHF0nxW4N2c5T3l0tsIBa8w5oRrE8EPFciQiFo1/apJFKj/5ZUzl9qBL3PqAuc13ovp7Xc2vzBMmMmOsXceqHCnCVvOazDzARfjUSnEvRgakrgw394ODNYncSBfZpvndoLr6WxnjMal66BMcJc8GVgMEYEJUvFxZdYSceB0UAcdNNCHUBL36gL+BnBnhLG+uMeshU4XGd5j7Nyt/3zByDRZnMKxamJbS/o8krCZpFh4pXOxq0gdp7t/ffXFvY87Uvee3k/xacQ+LFHF43apAqze47IETgx7O82SnHp5E475oDpLDQfp3B++UhfOU5chfkiIcrlAn9UDIvcbYHzLQ8Ytx70Tids/1TYolT8r3/omW/luWg/eNxKwWhSMtuvlDDipG4+UsXDHlVxe9C/9YrJ6+5mgrX+VkvH5UL8iMIswEuWUuKxCeGTR7qjUf/I+QNlDL8JB+WA+++g+wuY5wt10BtoCQK6E97Xj4T1O5TIh3UYAcPy6fC4ZqN45ab6jaHwicGpft8CH2sBH7j1Tbva3otVb70tQc+/zyfQ3KcGmQ3shaX2Lk/K0wfFhNQuKkFrfeluv+F4WtOiRCQ0hIfb7OhMLWfqda/n5qhZS4ORFj38XpACm10yOYHu90fW6ffz8FjI0ObHtX1T71vv4E534EyHCk0fHE2pGPlT9X6R44DkwzRWrg4oxzjjsMbDf1c1bF4a9if1Jv8M6F6awK0GHYCOT23fyXy4Ae5ZMy3yKL1gUxUU+Gj7bWtVGvhMGiEK//UAt1VtLku1yzYl9x0eUYewtgI+faij5SP9f/4AT8m3J4lbnHZiJ9///XrHlmtvc2WfKTAJgUOroTCPRJYPev9bjy3E7RTb/jCtLPukrzuzngdSknW/SfOtn44CODJ3js7nVfbOX/0X77cf9eBPea99HdO3zOs90Dj0iKgLPLK1nuqCb3/g52/nfJumUcLkLjnUTIe1a7ufmELL5Eo4uQtOzNFNVoInCc+P8tiUOX/V3czqvKOg9cxVsODCYj0ePH2nrqDEBKzBMJbSv+UIeLBjveXIRkUTI4VIJfDPKp+H2l2edk/Azx8S1jpwzRWwGclo9hWGmCI/X+dRHUUtI7seYge8rxFh1mEhIvGeezrTkZng+xMqSHratR3bgc4cRVYNCDQfyfKQfPyv7j7dHJ6zD3upr3Z6OgmNbQ0U62GNOX/+G7PtGZQORGjn4lW7vfVXvcFamFX4b1WDOWSid1hhnpyrrh42V9sXHJ6BQ3xH5XC5i673tRfAOrpsrFfSOW6AeweWk4MK1Vma//W8o4AVSWXv/13rV6zufKR32KN7exZ7DlUB+ipQkW/7ha9p2Eo14ruOZlljU9lcDtEr60b1lo+J1IzEWRf0RFKfyO3h6LXWO+TFozLKxB5igqFR4zDbB6Ofo9/eYWtgT6ZmMZRr2dk6Dy2A+x0kYHWOgT3124jbvCxP73Rh/R/bAjRZdsYJLHiFmHu5Kk6Xqti/vkvUIVmtv2cDkVf080+DFXD52yrH1uaAAD5aDaCkWjFoLRoqbnZ8mK2f6HuFLo6Ke1TCPmfjxG3uCOMQnx1RMIsBzr9NDuvnhRs2Hz6X5EePe5+vNIM/M9vdNwVFnMPeUm5rq35PENsOzfDpSDkZPpo8dzGpnI1f7QRNB0oFn/aArUPqQMQe9bd8n9/g6R95/NeDJin5BGyFxKf3m0dWe46qI9L196NrTjKml4oFb/XYezXgF+xZeu7aHzIYUpnE+iFuSge0NKe3bAxwNdAbYLvD+QQRgh7OML/UiL+a4jPGTEuzK43aAXeWPE6+IPbOFSLfJA4YcOYwG9tv+N6SevSjXoU8g75oxuSde8kMmsT2oVmATy8p1045/ge8YrE/r2oUPIiZXrVLTjVMH8qkK+gJIfr9kqJ2sv2vz/2U53zCsFdx6V0c4Zo3wIKLihK/ZLqXXzcPcCDL7SEdfB/Ek6XyxFFhcRMGZtPduzWecOOVf30eJXCodMChBr58ti7OEBg0Cv1GtlEmyYO7G0fI1mXOoqjAsMJwnq90LxwapeGSKK/tYO0cG45vaUE3ubulzNmqnFHO+fwNOuvFo+5c0Cy18yunWyONEpb/cyFzI9zchMj2eD7Dvmg6dcmFPRfGUdq3XRq1++r95hCIixziYsX/uXTF33mR/OQrmQ6O+KqMTrJRvbgNErEqUwe9n0Pyzntl/Y8D+LwvPX4usLcHKZNRi9AFnP9o3v8h4ab3A6LolyMIE2eDTs6x4mW3v9POWATiyrFexduEcEDW7i8fYKfcpc0MLiymnHbkUMnPR7kGoL9hDnDmCiMc0Apz46L16C5dLbAvkDrKfgl4OKV05L/zANgrRejbs68LzEcFP890j242Drx0CmBlymyfpV37k62fDo11wbk45ngCXkGuslAB7JFF8ITWzuSXxSTPceZSvL/WI/C23gd+sr1zDLGW4x+IpZPVWGIkm0puo/PuD6OiFPQWi0G9maSC9dXpwuYpZKD5Q/dUXO4wlugkP/2T9QQfEsCm5YMZ4JmrsV1yo1Rg3IThmnfNk0SzUUNSyQ6wIaa9YnRQgHuvfDbgAF4mAdtXvTTPG/rtl8iCXGFDee88TkXbAj5WR8fnxHp9D76jd71fyyQ+c/RjT0hPschFPG1o+PDP/cY9M/3WDO1cSu2lffLKnXurxW/fn+98NLQCjFNuojT+75Hx/gHreipR6VXPf1dgDc/MfayKA/7Hn/65M0ijSTRyFmzXeMTWOOzIF3DHH9uvU7/fnmqnccro/+Vj357EaRAHbqpX83ZcTaTy2+YUNy4RbQJxpYS5zYHPmoMH/N36C8n5Bmh9Zc/t8STMFWJ3S/rpCci0QFwDPkzezj1/srXNQBN9kd68OPaVyeWa9sup7rON4tt9ybdOY/oHHf/bZMBzRJ+AmsAcOGOSA3+XHR3SnoynAsOcKqQc/0aLNqem908c9hcjFZPzeu79jbIVXqH/yqtcSThdSL/l50GoXw9/GW5q28u937oVDvbnQpE6vqxkIGMj8bGJtpKxbHOWasp6crF9H1kopiqakxqUcMZED3HuQiL0Qaw/6ZC4r3zsZt2jWiS/Obl8p35y8+mQ0cRlh0+VIM+js92nDHTI7tcL/dDE6gTq8wm6izds7x2cz0eDA0RgDeeGEG6alfUoFgZ4EJ4KMfivM9ibGKiRkgzM9cuK3+6g3cMT/60f2quV+lRM14zrp80jAL071o64AyYP2kwfR0e/qQKeLTLW19/6vbI0JgLikMuKy8Z6ZIkdedXe+hyHj4pRZHuapr9eNcZyFUeP6mq5IbEegY4fWv9O0enqnP+D/fZwU4hxpUlhT4g94PulclVUR20L2n9SIxG2sp5J/5H2Lw/J2916ozEmgnqFmDpoWgHXyJ3kAvo4ksasXGR3IhKvRuRRu/67em69o4NB025L4NJzyTVg8qd32lHrU39X439L2fsQ7ydY12InnL/cVHXwplZjg1S+vQN3A4TS31rubT0TB7zzYbyyxhW58oRPhnBD5dyqXl9FTy9Uml9/Adgh9xr+/tHd9mmX4F9/xHwb2nO+Bkb4FZdThK8K07XycMA8DNAthIK4yflm4YJcKqd3azQdeIwRN+SoJTxWP7dkwKe8JybHAtaXUcr2QTK//g6kWWklx/DJROmeC/NXrydc3IpBXdMi2dfO5mFdzCpgCdo1T2090zrbx7f0gYPmqbPdHBx/k8biJ41BD46ge/mnl0scH0HT5l/zl0DwuyxBsMae5Wq+bcfM1xiWwzznjpo5cHZdYFt7eqvl7apD0aXSLJRrUg14yRxYj4a+Uz4lTYiPJRCNmvUQxxemws2TDxQ09uKLWEQHN1zPo+7qVXtN/3efEgNv7FKW3LM+BE5NgQsJBHt2pZJ+5SaJeIijSgSnsqelxtol7hJALDTpzva4TBGXmlLQXfDOGcTJG3z3wpyZix4J4HtY7szPay8LhA9V1HaCwR5ZBdamPWbu5X58zt1JTLbGfqyFNhAfRAkYXIX6wHt9gPVPsk6lEpNdyRORD4BhTujwuHnCOvmoInIEjR03fHr5z6dN/++hw4XnyLDc6Z/a9adsIIlw+40odJg5jgP6hzQ7eq8Q3wBfagH/N7RHj1qaTPZiqiOC+G/f1qmydV0KTRFwG7/2gmNj/vwBVlVYfd9WssDPyghOnxDLHfEOfw/4N7XewAfSLwNfsQfjfWMOrOSx/SJe6afOP3s3sAcG7lqdWO/6a2WICzhwb/K5S8MLYka9/Bw2GfenRi60QtpywKyxeWT9NshMAvqzubIVWx9vV4y99SQCnm7nAAOPpr95paIv3UbaHND/ntrZhgSRN9irvRaBC+uDntirn+/tnq4YNOy0ISzZU+BI5GtG5OvftRz3d3uef3TbOS/aJBMJcCZUNcjc610L2qu8E2/6SVFwO8sWEFX8NLvMV6Maml25pE66qME/5Kx8aT3A+MA5w6g1a3nnZvqx3JlwRKX0K9AEX4Bhz5qpWymRCwzi4xRNK2AL4IOtEd2mEKPeKhbeT5Gf1Z0wHJg88wi1fT2BBw4HZF7nbEkzYKmACedhOwLPu4giuMEaQinwWgKfU47Z5sT9KI9/z1R/6i59Cptnz/9tZOh31h/3XPzq+Q2L+zVF5tZ4RtaerWFL19xFL+2wyQvA5K+5P0fLVHuk4KZdyyKQVNCdEtQXvx4goJ93KWDqlmvZgz7PbJ6Rp2PicdiDtXuxNYSbql8uEniaMs2D2t6MIbW9u+aXNpehyDWze0wt8PddMSQRrEYYF8UyE/Qnvp1FhHnJfZfG047wGxJeAxg02/65TI+BXzuze/D+c5thC7EaX7QnSD5+gs6mP5LPr3ybH+D5J+Drpl7Da7N+bkqEOe1b6wsfpxhiKBBVJQkTa/jId9hNdyZmkf97byCQvhGpKr2z/dzteKtN5WWrzS9r2Odah83zXIhXLz9kvUTYKAYeK8KjX/7/vx6EX7buk/hZoT+ADz342G4AczyYy1MOjOY8Jjnsw5+Kk6LqklO17jdVzDfAOyiF+Pnr24z0nI9/fSu+6JgA1/v0YO08IT6z3F2ElA6yffJqA3zBmTe5+K1HiWHsvyTer2pnMt4lIo2c9bQD/Ap7D8brG8anBNziNBSnc6+fakBfmTe97m4eYhcA59BX2CNFFYL2kf7l6M4/pZyvtG9sDc93HqE+D/2KuNlaOXzDoy3wI9EKTFvbu1pJYKGRgvFVV8K3HHTDSY72vq102frXByFRkSo4Ul1dXDzZk586bq6gvWMFmqg0ZMhDGsKcHIG/dJnrH0mPKBuNrXPCfz0XbG+r54xzQRD1TAvrk59DfNM7CrFXJX8xpcAPeB+I/9sKYtSOONOGO9urrdwTvYrOQ8KaVb83TuPrwswnnNqcipVE0z0VtAe2eWTDFjFvUufo4pyknuto+clDdE05WtP1L8cs5iNmDd8iPoYLC+dKixJ4POwNhkEwbw9Utl9iDb6tJz3pCK8M9wGr7iWiG5jfOI+00rZGibdKePhQStDgwP015h5j7TP3Evzay6dw/1SGetqYE+iBvMHNAnt9ynkLn9kye4YE7/BGY/xjq+MaMSVpDNwR6Z3ujeS9gDUAHNnQrNqp7xMOTsBFSBW2IfCCiYz6lX94P4HGqx0NC35K7T4pUcLzDvZNZ1jDCGgxPJVCX4HPMIHaqemSTtteeDEmeeRXwtVH6zHOLe8DnFAhlrRIHpmDJh6aDTXtK7cHKw/HZIB55spLo6RUkU7StT2e40Rav9Y8TG3ftpEXth7Het41D1Hga7oDVm10rmBNAI/10/W/a7UGC3Dro+3bzkCf1D2ZMvevJkvVvbZ4vUn73ilFMqV9A8+kozTsHSqXXhThUyN1EMNWVoJGoHmQGIgLyMxTjrGOCLCp5AS4+GFrQCmIGjVwj8RkLUHbnKK/+0qjejTT0Z5f0YxFi38eL965J7hmJq+dzIc5CWVshlqKGfT3QRR7e9du+2ok2f/1ua1djKuYzqAnfeBFjh7UWxUHCwdOf0Avz5n5o5Hb3cH261uNaJztRQPXJoX4AuzytOXxYftGinSh4gJrYOPQAfQQJ+QUJnfliCBnn6gqSAlaw9Fsvx69qSfWd/B/dfsKnuvVzxedbB5ILPYaYo5iIsuGGfi7Ar63cI57eDb1AZjyLeP9knK1YxwwyeCuic1MOOB98d9aCSztfVQD70yRgO9T4W9+vXe56uLPSwd0CowHRyPvqdUD+ByiuQIOUg/K47H19JycamiRCNvhPMLIPbeXk4QI3dte9ZcND5eUvW8z4PbmBPGau7618Ma1mEq9qvgU/vVrC2qhOCsSEJ5Jz0XpEFsfzfXEsAZtpHjdf4JmQAV1P53/abflkoI2gt11sp4hpNPvqQvP60yZzTuB9YSoOyX5cPE4T2xt9Ss/aq67wGjrvVUkwDPnQ2Xr/tzUbUzyBlphblyfgQZ6ozj0S2R7R6hZOOSNr0lfoQkBX96cBOUyLH02EMCmECnb724XRNpBoYqDF58PKvSJSNy+K/Pn8Y4z23NFkowDC7Z9qSu73yPybf1S8x7kagRjMFKfe0F+jtofGL9DHZKwHBDPVtHzEA2smIJzTC2+veLXRx7iQKyJC+8DGOz7evjcwFr6kJEpYM9/HRHE9i61OcvyPDgu6/U3cT7XiqNQMBzV+PPOO/qtHWAn0lDai7zhKAJtPlMRAj6gF4+6l6NFORFXvUnqcApT0DyVVPty+OecbZ01Tr4z1n7l8ef/1S7dnhBrPqjcHpk7jce1uaqXn5TQqRiVxeIrYAkwpdRpIO6/cgJl0apKbm2uSloPCykNaAVPL8q0cd7hn3Nojpn0aVqQHd/hEfgCt76Rx+c2oL81Jura7JTJrVewlxQp2j9U+H/36AUtyP8vz4E5NmdK30VvqIhbk48TIq7j2HOuM2BaZVlQv8B8pA6TyQm0v3MeIObEdKf53hXuTM5GPOEd3+oQpYD/4Xn4fEiDCxVho+RLp9w8bb3t5cxyLnY2/yJfrbcI9pu13wDGs9L2x+yRrxzzDevgCDyfZV72IHLpKN/+lA5/1rh3G8ccIVZk7Gu7P+2IDzgUMLddckxf2As4Id5kjE/CS2QG+qXqQYJGy4eWy64SLWtwcswNWcRo+2/otInEQ4zYEXy+2P9CrP0o16RrPFgVfC65NO9NhH4oy+6gSQs5zK8z2B/BFD8bDRpyCiGG3mohfNjfQqyK5WESi3yeG75c6draGtCBSfQjgKPKEQ+14O65E9GZATvMb6iSaJN7CjSt7mBOLpXIrJ/on28Ph3jCsJl0iH44ameGTAR7PQAO0QJHT/IxkBkiz9Se74Rb66GklP0//f7ZrCpVQ/JGcLvW3KTW/6KBvQNR5wdiyf08ilvt0FcNOIZfWTI32cM6PUrgKJnV28Oc2VzNChDpHAE2QYw/SQVzRsqmR6EUwFGH5T03CivZtmqluYzwb7+vlKl7ZrEtVB1wLq92nVed1A8fm7sagzfAwbIuBMyVv7MxATSjZ+vvtPNvowxfAZNaCvFec/WTe60LuroA/NjXK3A6QZ+M+xsu6bOKKAZknnRhcwiCLypV9Ifz/cWpXZtfTPtM4Bzi7v0cLh8ZSrAa9Y+KjRFG34BjDSKa37PB77WHffh/tq+67Qdwq7A6Njts88++/vfn9kgKWJOxIbaP1l9+r0gWZoD398k9H8x31dNCu1Ngzxsrd/711pah7ZvpP6wm/tX3Bi+0993c9vIdHhtqfZ2lqPLOxEC7TrzDGGIdEb21bEleeFgCv7hmBf5gYWv59z5DppRYVQ1vH7VrfI4MhrhNFTKqirYuj0kOOu6hI/HBDLFn5LOW5dKse+AXmKQDaE/8n2d1ImP0g/LslUc0QmBb8/etV/L5m/DLI8WwZxAFfEtWFm5/RFyig7P9gLhZsjgI9Pu2OqCEAmoUNXDmGrA5N58LcPB7ZtJVoKCEkRlkobLKS9Fpp14cwDkVwGu8luZu2x5X2lKZObCvgrzH7zDmA8TdA+Ai7GP10XzNb2Ltr5w1i2L8CnyxPLgJaGVgahyxkzBHFotn2U/hmc8qdbM7H4PXPdEg+WPl8F40Fgvo+rdcIs5w4GrcHtJdQBRLvcYDnIyzZ8kyexbtHhxngXW4qEg8jyiwXMaV2Lr+boGviX0u9x4R/Eo60L7P+c/fJt3hjSzMk5lP6+mUpu70bIZksDjCdp+bXKZ3aYKhwhevZsmNusDrI+EA7rmgwVdmgNtEqQuqq6RfNz9HwL+lwMIp/cOqfYboy2cpZjFGEENHEpug8ZRL+d5TxYQAv5HE7S3t1ZL2c1KP//kZovIcg/Lw1JEb/S55eT3z7YMBrqj3mVcStK28PPJhfjI53Y5u45Pn7YW9G+ulx3EAcdRPbF5eaWuTTAP7bn4XoaloOJEaJxlgN6+sr4OzPdixYX2SNQj2uEiiiidhFacb0O5KFKAhIO4evX5zdLY/za+jy//uiSTwfRKK+AyahnH0Jry9k0ZzTor2HfhSegoV8DKfnwUd4Bk9m8NZYSOooQ+ya/1SIuvZuuOgbEHfDJXtC+hMRcnEqVkbF7jMS6cg0HE32/fRer0BDh/S99k0oT7YO+4DxFHatV9VuD2dpbkzTLocCZbJdpMxLQjEmRJ0+Bm4Kd99XtMC9Hjv277TC2B5CHPjHd2L88dtnO13DTGdGcohpp9OUbnYfnfZYIgYDOgN/3Hw1JP0+l275AF7Mcx4slLH/6Fjegdt4xN3/zxF2QO0rSkLeMev7VOL9gtGgsqIvvwBVCqFD/xoAz8r8rHtJES8vPvP08jy8aRKx6lqXNvDik617XEN0AC8EfQNrMtdfwWN+03e54xZr9ait3dONx6rN43ChRt1kMBhXnf0lYSx6P/dtbk8swH4z46e1CreaufTFe//HplM2nT49dZ8B/2zZ+E/BHssqmNsgD887Fkt8MR3ZnvJxy3mzoRhrQQVxnfuqffU069zbESRKkQofoBrTNbji7sz5QXZc64ieM+bGC0PSJ9V7yDbd5pJA3MxC9FvHznMcR1uv4XNeWIGCUEc4cxV5Sp8lg+3RmrREANed1Injl17HiiK/gl68caLBDRHC9hHHk23R/kanEruPxv5uZSdmuDzdoD7brqqH9CqM/+a2Smfb8A5f9TaftdcKNIvy8EDXNsJG2NeOTC+6CfVSOBsnu2x1sKc7J/nAZlqR2+U4azkSazddle50zHjc0aMyakIllLgicSBrCN/33TBgUUTPve2r3J4Pdj+jWv4lB3Z1OFf/dcD4u0F/hxX0WxSPqeZSz0Z+cEpMj3f0dT2o1ZIjVVnjjUKfIg3p3KweTihC7EoAI0sYY0uGgULCZeICk2rHsuKYVt7eYfd+xrDS1UEyTnWHxQF1SmcjzrSHL43BB64AQ51qWQCezm8q+4T5otsUtt/xv10Lc7znciaTv9khtocyvupIIk0rVsOBpR7+6ZckgP/en1XVmFyoyi7UtCj1Qh7lwvBB7xr+HxvpHFo0SyiB+bUYc4dIWjI/cwIyUfQ5qHi2guWOvr0QZPzShDQN0verOQtd6k6eL0LquUvpqgCF9XXXJJwa6vXW3u+VPHQy/nUcQ8CdG9PxJNWFMHO3jcwd8mOXvAG81nkEEutZ23N9teDZ77Ub4+E5Xq2Ne2u/82K1mF/9Xqzm46f1zpajpkDGnxAiXCSAp77avvDEd46ecevzaAiOuqSOhhpFrwxYN3nUVeAV1xK/8kFXVQRfCvR2pTFC2XpcuLkDvECcLh96UpbF94JQzHwDMYd3coxEA3DMvcCmRsaZT1wmRE/xYCfzPG/JcN5Y1Tb7MKr7qhbP+cpd/iSRxPP4FnzQaWVm95rA/GCJyWFOX3VcdTWB8Nqe6ZTydOnGPW75deSL2Mt0XRmmnNjBmkmpeJ+LVHz4IXosl/37+BKrVM92z+psOdDagTu8HvXoDwQBiMNM+A3L02kx/2jFMB1RdCBRt6f43Y+FUFFx2w5AQdmngCMMx3rxOU8PFblLPtq/LzX1ms7SkKbl12iljcOftYjGSoxLSfcyqP7uZ7w/gHr+cWj+LmgHWhawF816F2CmjF0NW+/QeON9q6ERvrSRMrngG/V+z/gSmI4Sf2trDcvYDt1tsfSS35KF+dV34Cun+6NCFL9tXXSr3/Owft/nhiA453mU1QZ+pZaj2o8ORT2UzmGm+prW9GivYgV9gSaroDjwCtMZPORCWiDciSewqlLnekJXPgAa/Jge3rAPvyqHUQae448ti/sPVSS2Hz0NxIiYu/ohc0dLvQjd5Mdcwwnw5yeJOgvUV7LjlY0mvak219PcbMpbU5geFlVDNwOWw/y9kOvCvhbuwA+RMCBkwqX/89PD7dzHesfFuKemRL4lBggHgXU3dxB35xsDyfQ+74KZ5Rjc2pG67XUlrAWXbaz3o/bUHntN+DFD/BJiBk3D/hhnHu6AP1DM3d6nQNcRbRcGdo7zRraeTxxWDew19T/+v6B1nOWm4oDXMWfG7YjGQ9viIXNk5rg9wz9//ofxhAPVuGpy1m0Ny3nLu1om3v4WiPq/+kUo754b0b4DnUKW8kL4Pzu9laxlpa/56LJ1DCFWNw4JQq6tBfzefBT1hsYPyX5rv2Bd9/X3F/r3hxOMBc0bq4ivlyVsb2H/np/TOWATzJc3kCT3IGruzpSGejdlIlsIS7y9LBklaOOZ1neIU6F1S67ViYIBBMfatcAH7La3vezUexZvk0zjnvq0iwz5D0fS/csyCv3YFeP+yd8ZqlHM4IuFqkIyNl2/IA1ovrPlY26+80XCG19JlkZTh/nEKWZg0dbs5kW/UbBOm4c/6rDNteAtjYvNo1sbW3b6eL1Xbe1gVhQ2zPyfP45saSqMMQy4Lyl8+/euG2X2p4btg45MoWy3UxE74Pytn0pr5V789LChFXo7xnEveMabg6eftPFBHEaJxRUi4j8v7ubgyu+UsBs2ieq6VUCeuQIOnTPjejKXm9qF9b4LqGgGXm96o90WJ5lYT5Ak/vMtMc8DDep7d8ZkQ08w5Bx0OMROp2wLtjw71nz5qWXK+B5FRdTLoArMGR6IWyPOBJlbhvY+jyb81kP+q15zjA7zpX289gIHDfRxjkDluU9WqooySlqltpto6NLk4bT6oyNAb150KZ8nVU+hSMu5YAOtpdbtuIs7QyrRzydjUnKfgnqUW2E26+Sg4Zd1TfwgNLqKBnNz9rBl5prCnGuhHlxhAkOmb23MeZG5fa7cjbohINXX5gFYt4+N6YFLN1nzpTA2IVnZkxja9TG6QS64ShgzYA+fJQcYr/trTsAn+z3DvcMzvqpL5G41qE5kn7OK1RegftkcvAp4Fqox7+9XKSg1TjTDzEoTE1zbRj9ASoP+KaUjfdHrw1kT4KcJyPlPhdcceDyLsTwhIuA8Qhdc2EAn/UCsYaUhgRn3j8bHCzNqAno+Nf+4jL6hOfcgr4gd+BTwF/+W4SLEoibDqx3GK9/G9BWq5bqzrzGP48mawq+SZ3Pu61/YM4ylKLtlNXCwyL0mIDO8KPjikuGp598/fMY56dw2TcDccrh4Qg5D+ehv4O2PFDgL5nEQe0oj7r6nlmv5B7HudM/IFYfUgSausC2JuLScAJ6BTugiVqJk4VaviP/bQSngZTotZfjg2vialgCNuBvFmaeDOcPIpO78oIReKKoHFPKMLmkEMuqyOCzzQsLSdL0s/W9BU5ANs2a3km4XwEBvPPX9ueIJqEL+sPz25oPl9c6BI0deLWbuqABbQ0AUs4DMWcLenT7U3/NxvorHpw55XH7niPzbESycHfx1BiE8J5TycUzc/2IhsCHDWWlS3AtMK08MpKQjmczvWrbgSsDPwZuqrGxWgQ4DZVlkQiy/ueBHi2zTsQ0WpjlM6AhHzXukYpJXhWEgz77AU0yA7+LGAseokerCLUEDjbL3sCft1fQCK+77ClDigFGH9WqCUfT8RRuNmehP2wfQvje08ExURPyTc2pU8vbpgLdJHfEqyWNJRcZcP83iMk/B0RzvYquRukd9jM6rmKwOYxprF932VnG/T4bs8e5pxvJbV6ovpJxKoC38RJU9SnfAkbcnmW/3YNWzgDDP0AfT2csNtr0S9NvowonQuw0zBFw/p77ZzHJfPhcGNN93dNXTsUjcwSCmPKdyQm4cerDWno0Yn+3fFA8t4y7mMN30MYEtou923CdZD3e8XC2OZBLJY20OcU2p91qf5ivQTKzWu9yMhBFHfqqhfmqGYRE4DWApQUZk5aEgBUmedg5Ae3wIcNtXovpKofpYj21at6GMrq4BzR9sYH0tuZdd+Z+5tuRMTGnsfrhsUirolV62IL2b15jaOukfBU5nu6nFvgRcMkHcAvYUbAWaqxuNt9bAy9QX1vCzH//l6cSOMCe3kpPwd/XE+/+c08xaDg0AR76KXADcwY+VEdmVPKvzve7LrQPvPcAHODRhMBqxTSDTo+qAaXUa4kYp1IOKquLKdfPeQBN7cL7fDfD4oOeBg4iDrJrVeU6TjakG4iX/TnfrtxRE8SG6f/XCwl0KYZxVtfUkDYV+lEO/cP2wRIG8Ii1HeA7a4TIS6M3GuZaA/DAWKqT9A+632yU9fcdp33VBVUN3IRivRyRQmLw322+Wy6nP86meJKmvT+Kvr9KWO+6/0TlKjh8JLV5lg0ChRJtViborhx1lklx4e/bZwPzZP2jdI9+gCendUhsT9O1Bj7ERnVPh2RRwxxnKHzdV852vjWoWxlO++Oa9LmNTXHrVkwBB0psvs2jEp8rWc1Cu6Q/OH4KPGEEnbbLQ7I/R3Nbr8rlDvZKF6Ij2z/kQJ1ml3rMtTeyr3vzGbZjgwDXOGWJ9XIiNbe5Sobl1rugEGU5qviIAu8UU9lw///yefHpuJqfo4PZr8uL/OdlzEw0aoFfmDTNtz862q8nvrgCNO6r7gb4ykCY+qnG6S1f1RftiZMWEwDg7VqJDDUg94/uxRdY7BVwPhZOgQg3dxYHc7pTw9FFi3Idj/WIWz/S1Pq4DKATVwOfofM0Ei8+/9uvVfaa0qL3csDMJkySvN9+wzpYSts3KFImdR8OdRIPuCWhYRKIHel4HLzBz6fyNy8AGO/gdxrTrGZmaLz2Vg6EKNc/qB1+fdelRLYGXbR5/797oux/3PLt3FHRuP8WjtoIYlTeIJL/9rbemXfZJQZw/ylH4CqMrtQxC99xD3Dhp3bVTzo0a8VCm+twVdFf7+C33ExV7twWLvENvu3SsP1yllNXrS3ODUnJeLE1ZW7j6Y20OZwu8WuJv05SzdreKMh5qY3eU0PKbAxY3Sf2LKZoVhFRbypZ8ZeL9Z2y9FGi7Jkb6zk9kxx0DHW31oPZ9lTbyX6Oq53tUUJ5znCUD7rNPDFSZE7ZaIB7mxZ+59l0qVc9t190SG6qy1DZP5aDY7sJ/J1jnzROHO6moLfMPo0gHoYqrBz+aAp6LFeMmt4c4ftnavANnodllru79B1iV2GxXo30KVyDqh1oTWmi3Pa93RF7i3LSNr/HJdXrXu9ciKKS2ZpL8QS8jU+F8IlHHkd376aeKatRDTDzV4WDkXAVpCPw1P62nkeFju5k1E4tuYMr0IpRHimkx9b6uvcZIj/1oGy/+pefeXB0CaNdMDaR4+YcexDHKOtvgAGqJxJveCc+aEROkk/yPP7nqUJ9k9633rgf5UoIWdVKwhYB9+nyHs8Hh5ya4tP77RnR354qml/r8Eu/27o864043xjERjZMgfr6t2YIMD3fDilomtwz6LC2RzqIVdpTEKfxKd9flXNDeT9PucmQzS0jIQkPtqdqWD7r1faUaQG4t69cx4UN2wPgiCChD+oA4odna8H8d8HFN0WKNhE9qk64zDM0jXFxktsV9KKoZO9ovkR5QSNbNw2cckmFSVl4A0z1/dLb+wr0Fo/wy/soa9wNqGl9PIf6VMekr3GbknxLBCfA2cLneaT3srN1FKplDnC6YSZZB/vJm7oTdxaB9w9mc4aMyGs8XelohlORjGfYF8zgrnL/epsGB+fmVQ72S2e5EOnvMt7KWs7FwU0R6Gp+hvWVv//zqvDTA83saDf5OQ+PO6DtBvCpyDt1qtA0CCdcjk5rcw6O+dq6lCcXHqdrOYrydTd6ksItn8AzRVKR9xtw0BZ2xYTIr29k8FZ3HDGBw3xACd0FebPjwCisP3b7PPf9hofYA6UGcSgYyhFWS/5v08h/PpFtfIpFopz21QdB2bNoOWToHPkf9S5d6wHtId6f9Nd2TOWk0t7ZnCJChc0Hwf/dm3Be0oJktSvS1PYS4CbRkU/rLjkR+bnRO/FFvCmxdWZaJEka/eWY9RBxJjJizmxNzM54fNevpdN+lBL/ADYAT/vnnHfGJxFRzOaw7sSGjBQw2p+50wqO6Uk76ES68KFH3VbD57MSoEU5Hc596x7XPz89l+/SZzoCADnkizz/3VU+vxGLoaPg3FWqHqf86KiFf/3zYFw3wIkxH4Wpw/BZOf9AtxBCd+Fah+rtFF7WzLo7GZpbv+rz8Imkdaz5v5zApgA+7l2evKNVKlvDI0oq64vikSX19g8lzIGhFLFi/4B4zJVUsO+BR4TJRiN9IJ32bG3rud+Cvm431ke6Ag3BHOqyEBGI+6/c1CdgUlq55KJdJYg7Pc9fwHFB0/96iTgqLe2ZlkmCKtYXBcJaIYinUh8q4JmWzwlH2TxMjwCvPg+NUxeGNRBHeDi5gGn2rOV15/vFViEODsrK/vOeOdbv3rwDP3yy0faxxWk5bGPg2fu6oLzpxFvqLidiYA0hdQBthfIIOLPjE4i/RiAlT7J/KJyggxf42XObgRZ+fddvrqLqtUrDZC27NmF8vpJhvlSeuNKwHTkHbgpYBe99rAfypDv6BbzRrbrmbnsFHt3NAvHEemlGgFcEnovB3hiVCzwKdHTV//VfruxdJeyPK+jsQmDg4QPJ+No+ar7czzJZyKiPlFGlkOnPO+FUzDj50HbNc+uIQqncCYFHmgw4BspW68egxoOTtLXQrcLiWPX8xQ8/TrG6k55MIrohy09oAfNaTBmNRckj3zBPOLBnFuHR335tNt+lHuYKtE6QgUbVtj9foWxf3bdzMVkuIrWLRRPrjrtmcwLt8tLLCivfHiRTxxc6RNfaCyLg5SPvzZU7BsMc2o69KYPYwHvESuCXddT2XKZeI801l/op+4Q0v9hG3dqZ3iW8P0OfD+ouycH981t+anR5pi5xbe/I8yDSup/fzpHtZ0oZaI405Qg0AP4GjbSmY3iXsPtBUxw1Ny4Ps8Wed6URfgMd3tVdS/ju0wMedsuc5g4RQwj+d7a8KVl7hxjRNj1KBXecFOshf24BJNo3tTM30M2ojhZSSWcBTXwoebNyZLzcab9hvw7V7r/rwaFEdBgrZ3pU4ZYeAE/q3mRc0hNg5+u9YA0A9nbJmLvtIgU5kXBOqlDbXlo8HRZRuWaBfXKqQu5xuQy5SFwhw7sY8UnF+wV40I0MCLSESM8RqciwmHKcRh0mJN0F3Hq9vPIcOC4dAlq3cUxBC/wQXvsB+0rW4ecDMM0TYkrK3hjekw/atceDi3rAM1bKzaJtj3O+tOdO09TmlGLq5FhFubC9qoGTjxPEoO3+L2cJ+IjqM7cxLRPdr0Z4Khv3XXxIRxEJTFZqKErDZdTSvwt32unIeTRe7+YDSW1vAc5A0ZgA+NDGB539dXS20tYjCkO/cthn//de77ZHF8xJWEczfE7o1SL4qsZsTXf9Hfj7by2S1XXE9oS2/RZ5cioHHTaRAn2rSrUan4K2LCHeZhJYkKHfyuNOs5IsHTI/7/9qip/UJOvRExFjNGwMuZWe8Bo3+WC9TZu4XfVK08pLHukawspMuOz9YwN7FDgDxEHlaQwDYmjwG6/GZkNDez6iCi1FQjuase7Vj34emacABw3Nhm3OhgTWL2iqbr/WK8RU3n7A2rimQzvqnbqfe+fZeDZvhTxSnm10lxC6BuX5fVty2Km1Ad1vtNDARYBPypqXa/r/+o1e1YBngW19mjrU5vIUw/JRjxfQODf/uEKMlb71BH9XgwqUkwRZJ5CWgBGCPLRD37X18InEgX5trS9RljoZ6AEkU3MBXZMu1u/6hYciWoaqEO+ZQ/YZaz018pX1pScLqjTffqtVzU2MFbDdK8Tm+Gym9eDMdx5lDh+VrfP5LgdDMhf0vYGfR9sWYtibwOpE8ts17ZKXr+OltrWbXbo5Og+IIRQ3EfrgMnOO6PNZx/8fV+/WpajvfA+/JQ7Sa7wchIAosQk5QO6AuBohIK20Iq/+qfT353z+67mYi+mZVkiqdu2d1MHMCMpuwCGxiloGtgp8bv4G3wJ+AquFlF3Bd+MAXyDWZqVIb6WVPVKqO8mBcA7eJ6zHO3+jNX27QcMGv/03g+yhBg94BsRFjW5paA9ZkbxkR35AQ5p77hx0u64u25iir4eyQJPHwEktO8wYghgMHLpoL6fiupLYl5y26wn9y4MNj47nSLbsuFhaxslnlW+dKpAmDxWw2/+mne5yl58wa839+s//7jtkihm6mh5LTZ89aVy6BKlKQihsAqzrXu0o2pszyCEP/uXAZGDTN3M3BJ/zKbgeUgfBs+GPyrL3dJw68KsefOFIxDbKxJ+n6XnDTK1U7ENMV3fsJsV5SG9KhMA/+L40806okpXtp2ekkzT8N9cM4jK7Aec2PWceeY/zCoGaYTbgnQadpsHOWt2EXw8eLo+yQEdzd63spGf5tjisZn6xDDGDHXeS7yzfZsBlCnNfJXqTYykPvPvXK/jZRHubhV/LOUgqM8/pxNt7OpIbC5WZdf7gPXqU1jYlDFe52JtZk8Any03OwB/GFmX9dZNd5lftzHHjXF945BtmowsoSl0H/lzZ6J3r6JqZhYfX/NMYHhAkPSnKBTillXe4BXkaS7a1qqIdTC7iKSKf8PzjOUQatB09satDAkCjjoPW0GZuWUCi7UfGUkfE7R3iIeib9l1f+SldBPJmWoD3HbDDXIjrl3ok33RQHeDUHTRXALr9o6L+Ne8XimN5Ohd+D9ppn4ptm4vpipFCKSKUOskH7/WD9PZ3PTRPwFkC8fr/+Pz9UVnzjglbVxAjCYAdK9R35mpTD7dRjh1Vqzmbm53cUQji0yMzPdoZOtL/3xlFjdTnKQrdEtDgRH0Pc92dovJ5RurfDGvBy825QL6KQy+HKKjEkkiBcj70DhuRbKLnSsNFkLh/pKDxGqTE2cwHiSHmjfJFw3YgcaLPIIlUOCHK/QW49PP3PixQGnT1v7kw+djeqJhvFWiuCrjNCSGW2Ul6DpOM9PyH8HQjBC5APcfnjjzFmCA+thk28/ZMzVeYbQhoDVW0P1UoQReSW8OJPFOEUgs4t83fGtavgvbKwpaAbV4b5g0sWsY8npJzrDET/EeJ/oFfW2R6tMF+bEAnETMnwuRbcdARRKMH7Ivpl72Wq0K89w64R68m5igXNnCh7fuOHmzpt85mBezu0mh6qmh6mHmcEIMp2OZSu3sHsJ7lo3o2NJlpKK1z1NqEtkMq0BE7c5c5vQvx6nYKPbfpIPYX6JF2qjc9GSBuvPNFTR9y0xdHK4E8EfMTpyhMTX9YJC9pkcQNBfwBPJQa28LMDLKma732HlDKe1OkYAMtkc7mJiN+IXbzICY/kcuHLPZ2amGSin99Kgz3mLhrJpkjntFsBV3dpaH3A7YPdq1LKuTOKNTS8locmt4YqTkj3WedmXf4m5/Wi4JnZi4TcPAXcIMPWqhb436Bhmh3wOX+nbPJy59NFU+p7PYusX2R0t4DPW/O+To88IwXGXCO6+Po/oU/k3Mw9wrrl5nHCXyL3KqRf5sePJllR6xP2JmyDWbLiRf4XiE9lsO/3hG7que3OtLZOfZNb6QR2Dhoe57lpi6jQzfa7zdG56XwljK0+9ppnCpGH9KxY+6iO+B1yJxwyV1gWz0y8614wyWBPwH8qRQn7xzpjeqBWyN1NL0jiekBIJTBccJs0hKD76N/bAJ9qtx0qQOJzbzvgw3hJ1KUOYRV3Bek3+Km367UncLqN68df5479qjheWvrv94szJ0Kk5dzovhZu6RoOAK/ar9rYRcQI39zUdVrNrnnm1okc25tXEX94cR6KwUuLC3wk2LiFWpLAZo8L/RH+Zp7ai33tJMbht668g7cw/JERxg1s2MjL8J9aOqJi1PYepWzCNDN33XMbLmGYPtkAN2fsw55B0ceKtv0YJg2fCA43f1ZKW336rL9aC6AkxxipWMDX9fv842MCES4sJ+wbgvoRwf4yOPgIvu4EiulKcRwUF7h1T5Rfa/ZNpO93am47U+IhAqhAyuQ6VmmYb83pa2eKTLzIVvAXeBKNvqRI3/7MibDciqBo9aF0uy1XaS7f5FYt/AOurIs4Dvpmsd+VUd4AIzqhOnvCdh+jmRe9v2m7nEJe3w/OF7ZUL0BLp/T/vnAccuPa3Yr1/6tiT4UI2Nucl/yueDWNmOh17PYh32xL6ClFtAitwreQxRfFh008Pvr0nD/I++RrEee8tBy6dqudb95nWJtZq1+Eoae5nwDi+uCV/7umQb0yk8l9bECvnVwEtDX/XKK1E82LCu2/z7OgWzPwzzmQn/zfurTQP3Q13YlXF1SBkw0mlLwfd5EiYW71pPx1OXhtNQFLk0nz/+nd8RL5DNNXRyUunymgtup6WsRyZO5C6w7f6AFQlWkfjUtRKxX7jSgWXDUrAqLOClpwMzZNlbmnnZUCKDgkwQEmB0eamtZWKDed9mitFRBYxzXKLUhbqWV0HsSfa1m/qeIm0Uhc66WelWUeGm0XKiLjoKiohZ8kOBZZ3Ov57QuaL0nszw7deR37k4v5kw98EhzpvHOuQ1SpyW5mzg5M/VYW9b0d0sxPqaDdRMI3ZgDNvD6s4L9g236u1JYFnOeTtO1PbHMDGh/g6NZnAueQzzL6mHG8BxP4MPHst9ulJ6yt3+d4eemPqEyPcX0FJ2i7KV49syjjbn8t6tCWtxiVh7Iiod7y8zOPbryRzKFsACsF96htH/zYu3KnM1ZpuZ38kAD/JtV+76TamJ/4YOH6+j+rMfe9N38qAtUYJfZamBrHcCbCW/JHLCty3yiIbekw5Z6xT1duVUK0y+eS+Cvmrktly5fuIUeTdSKc4gf4A/v2R+bI+i6o41XiMesdNBvn8bfPhP/6/VhJgv/CN6KusieTCPg7hv36PoJ6L0ccL1K0XQHTTCYXsO4lyHj6lDb7YTj5MHipADu8Y5f3+nIFuJi69xP3FxXVIDzFf27Ar9FwBuCHBgk+DEo7nktC3KXQbL5rTMeZCoi1HKHf3AbQmLfmrPp77rQNhWA08zOcz1dquJfL9MyH/dPJZIf6eLo3KE1d7a7kuOlskEXO7MnBjWWGl3BGjlwtB34EnDNuceMREwoCXzbAk0WYdpmJmeaDKaH+t7mvfxuwmRoxuSN86RcE1qHbMlHvwK82qvQ5qWjZ9Kp57nHm2pAArDimdttXjPgjZHpIpmuUjeemTRS6eSEh62VMml6QoV1jLKyS6w6Ao1oS02i9l8/IsZbKWMeAm+5NQK/UoH7pkvuJf27gJ/DnrWIjKbHBS6zF8AO9X+IuK/4NQtYixz8tzgHZBT90qlBA3/TcWO3Y2n7OeioiQ3zew2vtSUJ71s30/6NrNpqeLKpOvVdc5UBC+AybFO+29747r5gJ6GHVX6n/OtRO+UjH5rb0VX7M+ePg53dGmZyiEKLjviiBunwYv8AK3zfBWSmZpTH4Bu7+6Mcs4VSP5TMPmS8tFiAb8A3LBqSNKNfjoyYJel+TV/zpRqmj6Njf/BIDph5QqCvG3cW/xwzizpPm1z+2PnYP8Hn32d6x8yaMbZ0CEjy0YBexkyO1JY+rH8BnDwwvfWqHvZpbFZmZrSyKeSX+a6G65qDDgfeGEptZk+lG8NfRQGoY6m8iXBFnOXJOX/3qooqsFsSqZRo/TR5MqWwZ8Hs7Kz96Df/XfsH0JhOHdkPHC1X8L+dihMJ+t5Swx78fHrU1v0FHFaCb6dUmHkrf544xIe0n188lO/6ZQGxo69D2zN5XWcNOsBtS1KQroq8DXOAm6z729H581Brv4gOFGSPX2wlST14H9ja36T2f0wNgArV80S/NtLxsnqcvgnnPw3EHaHV+65tB7EMrHBZcOwDP0dPNvSujNlSrV+3sve+Ib5/li5wUdNnjLZA8tOXCjXED64rk6/rcr8ZgM9z3OPLnPCodXGIAhE+f+d3KIrf+TbwWckpjUjJOy24MFkS08BNIzVH4dKyrdrkKdvkJx/azSmfPRYSl7LFStfmVYLf1l2yHqw/S2m1lxPPHqLTacnVh+r5dGa2qQF6z9i9MsA54MLFOSIdcPKppsCpKfD6y9aXQ+ooR+3oip/V6J+4QMCpZYcDvaQivJ0HZImChFXcWGeapMTCkSpwbHgPNzUssb878Sn/L6bg49H2zR2XLbr/3RMBN9pn4EMY3vFk5vVo3OHQsutIAR6on4Or4NWRe7CyDQ1UJkOEm+FpU4jV51hV8Dt30NB5/vpzO9jyv/vKoATdzvs83LtmjszB1sPR4d8M4UJQZZNw/j5F1ubomg4LLapiecm0XLH2Z8mRUNafW9ZLkOYqgZ+lwKF1Chy9Aql3EvOQgx+8c3sOr7kTg3fFoTqBH8dHx2OH1/ZHUeCv3OhtiGMIhce1vZzDq6mzvFFXg50kWIjrS3St6Z15IIJHwDsDGfy15WtbgX8wFsuftP9Xb97n2szu2l7YKAti8kVXQs+dtM2cmwow5hygPRXtJDsujqt+HkFjmnsak0tBBy80fVxq9+tRhdNejaoy59o8CG8YKfj+dOVO++7hDzoKX/EIPL4nvrLszvRloBxvCNo/iOg3/5txDT8fQCfFV+u3h5a4Pk/FBBiukoxtL3K3TdORJ6And7nmKeypXRbJK1u5ZMh/3910BwcwbpBrermDzpIV/P1Wr5oxq4H3mlqwuRuLW0IAJyi7g6f5j4xPA3DoZw2YdwYOe0JyLzp0kcBrcVS+TpF0m8jwBWnVRftPVzI3+QBN/TuzNQ38TcYAz0IGfmR/pIHZM5nW8RRSjXbAKVo2Aofv9W/tMgYeX4/JAzThXMV70IFmNkwG+k+ylLatpI05v31rvcspwgzWrKXR/CSUz6eCfBDgOk2/fPNiWkH743OISuBMoM30CBzBym0lIJ6Z+ouodhTJOT8Shnd5zPPKmdYqRDQNYT3sbM3Dd//e+Uh16ZWF37KAuLJfetMXNkcyy8e/C+/KTRVtL+ng5b/92eBZcuZV+api4AJY6vRZhQu8A4e19icSmPu98AmxPQd+/MjccuGu/54N1zVjuDQC9l2TI4568KPSOQDeV7b8xoM8AI9wfnF+1Jpb5twQ9Qw0DB22CDg8qD0EcRY9eN84JZuzKvQisCfEh80tdzDDun33MJHlmC7gC+AMxMz0OJ6jKangf1ZF6iqkXpUjF7D/n8rZPmuUgD5NLRYToqKNDToUMzM3dVSmTVbOrORVCXuHxd6pohmpAlnE+dcf4LPpdZsjNfORPFmPD8CpvtPB9P9bSDMsZuZjVQ73xZx9VIVOc1fpZkQboaXp9TmnwruVhXZy3bgs0mFpeRIHvGW/56jbGxHq9r5PqYvkIHrgd2x6wlpJwJb2FJQLtdJn2dvEnO2zMfnIhNc2AehXTtImROPBsr3K4k4V9puTUMAEdJzZU5g7wDO5v+EsOcHzkWz9+74LAH9ToxTbEFRKCTjp1H2bnPLt5Ty2EWizTnaqM/fLwLVAayUX/NqehMHpmK0QT9OcyaeibZ5y/FkxiMamhqcn93IlKcRTJ0Xqfc5WEDvxgFMcQY9XKv9jCcCcNEgfucNcbmYx9c+bKK4eaJljZSUQn3iWOl9P1aM9L9iKxwTeay5ynRxM/yIZqgrbqgTeaGai/MAev/GQniI7blYfy5Ufa/3lNIXmdbTcS97G2ehLAVEN4u/dnPvmAbsJ+P/gB21ty6Ch5KVizLGwp5Ii4AmlI8Enm3D5PA93B4PGNTUo//ddtuEkwD+BT6o+pX6fI0zOZuYxmpKzTjTw0Zzak533k5RiWStXngjyF+q0ARm29CwgtDiTryi/KX21CSjqg9U+wP8tac7ngn+9CC7ZZXtRkbWC/zyBXTksaBzcAW4V5JCH3nwKGxvwIaz030dGUZ516bN2sa4LVZamxiSWcco8wmnonERpHy2Spx1gFCdSgTbOwOLfOH8u4Hl5QpS1dLWJjyHxThA3YY+d2tZ71uE7jnFB0QQ6PtlxByEaq5b16DMrWleFC+XC06bmmEbl4+hmj3RVjO3+3OTlj1UH/+bDrsSG/V0zjxc4V1xOuWP95uBTG3VnEdrU9B1w24m4wLgdM9N+OmSi7fModKXtEz4mt8ppFxm0tBnLh+pIDzHyVVt6k1vTjuze84nuT0G/LLAdH/R5VXX4RkL9ke/mWQzLsVnRRx1/vQ4OvrPdFvxtuUMM+YAYZKW6dZp+6x1ts+7tK0fcrWwFf+dO3icZ4NszY9zH7F8f6aQREKfc1GncaVJDshP6yyYCt0pcH2RNXfhsauZJ1SvwCHEF+06svPfw7z2I4HkDa8Cjp6ec+ZQPdqscnpje8xCDdyfBrPOI3r0ITL7cMXfID7eva9Z9PcHf5lPUtqDvX9gqnxnYaFWgo+lhx2n2aFz1UYKQym3A6t675JZKS8OfwuWZjv4D7FIDP2I4wGGt/1dH+s7HZmFSCZG8WJH0tbg/QGsAui5X8EvA0M0Dhzys+nlTOXZKQU00vdyn7nXTIMBV1L6qHuJqlIJuCz3gVfDvV/sE7JNZbaUC5pa9fuOhdx42DmDuT9a1VxGqDVi8PLpybFwyp+MkIZZ+ngr4nWHyms7fKTd5/vbQoC1Oe8wpw20teGbqkpXYLo2zZczE5qK9wLO9quHrjRuVYH9ubFjKrFBxPrZtE13tg93OwGPp+TefN5nY6LeAQYOMrx4XcyZd9AJbfIGWxvnvMyWb1J00YA1o7OUoEE64WCTs6V117I2Hd9CVFuhJ2KM/z3zVRcMmmtvyU0XLsUaSYp5AHGmpiNQMuuMuNP/Nr4e46JmZlpkLyGRt95mVMNZ7QBoX3IzwPj3EU8Z3RvO/7xCV1uJ3rgGTfm3mCQBeg9Z8mdmGNfcnbnRNQX7IQPbmXrLs54MAPJdUg64xfZJsmmn+ry8JFeCng/KUUICZqU2ZeuNGWDGEGj5dc2tZBEruddg+zwX6hti0MVyYx/olRasr1B7qAuEcNd65b3c09Mra9PjteFGZHsJMR2zEENHAt3h7oNrkb/BjZf87S7kza2ZnPu3ywr9Jx+bnSG+ynsvGma7EWiQbpk1toccpbE1+7fc5VGmu2x0ZJlhb8MBheqbWNIo4Sc7h5NUaNL2Zvyj4N0SzCXTb+y4bV/AyoEKGvEAxYGWbX+YI91NHitLLgzavhQU6D/iRmVXHPFkHmiqEKbXM3F6ZC6ZkbQPO2zL8r7Z6CoggwbloVkH1u2YkUQEGdEbAw/kl5ROu+vaHh3NFh7tNKILYvjG9Sn9SR5ZHh2QsTlw1zHeuJTn3pM06lTWWXVYcVaAX06wjXUnDVQQ+gXduy3z7rl9+QfzsWbe/nQNsyQD5Z+oXjAL70dwHvZnL0CaV2Facybji4a2CdwRuNZ4Lkmbsa8UCcDZov+WYrczhO4hH+BTqK+vM/LDphfPtO1YO1EldGqYbNaQPFtmMrcw7Wql1YuHmFLdHzLwktxPTKfsnt/APMLlJCvnTBOoj68rbWfcP0C4/pld32oXLefhyTgx/g6b55OHzQa1/dfRI/uaSpFZqGzyfJfjXPbVs06/3O+3NrDNlV8M8Q9za0HDxOZc50FzKBxKeQ0+c9RTKoHRYDOp12Ju5oL0sEqx6XEFMe6Xs3x29KIUncmdhEGuE0Eo00XZTDkmlwo25nyrL8e8zszEiBRZVgY9yUAfQhwy4W8vz7T3tvSznSQ58hddi6U4c4lmBb3wExLCwe3D/5UiTE+IY+H3KgBsSp92Vl/t6hBh37k1fV1MHiWcZ+0IO3o/U2qlB2/NVVeXKMfgKBmz6oW7vnSOM5W4+1EzbNS3X2sR2png1Ju/5XwLsszoLuwRsKJsVO7Cnps8Fq6zJ9FX+ObM/yy+mx9eFuhB3Vn1LrRapkAQpCi1OsaDCNvwkqUGTnynZsJBsKP9aTmA3pJ//07AOoY1IHsCJHQ6aja5+kq4++BJ6kLANchctPFo8cybOB4jx/Vya+RAkTjen3bwBLfDDAxydTb7RqBdAVwS2G9ecPNLXLPLBe+dH7VOKI4nKl+nhdLCmGLTzPR3lJCOdkEARZvJTeeOZ3EDs2N88klqw9okH20nXxsxfszAFHhLjMg1h3yi+gV8/zuzrVps+J+hfD8n/4xOAsENp7rcu2NQOAocrB/4J+3g/ARc4MduCOIYA+23uatNLFbCGbzINCoXZ+8boIKqHo/13rbs2PgOPrQUDrOndNHjX0N3XWiel6SueCeJTBrqeLWMaIpehXx3eHV3dAsdpq9hMLFSgQwFjC36BlZIcsEGC/mfwnRDDJtCXKxszVyL2gDg2iGH7gf/LW/4BZO7ABsa856kY2ljRvad2s6AjvwNjXpvCcEftVxbeZZ3vkcvWzFqZAaMq0w8I/AS4A3tgp7RBV/hneB/eWzbgnVUbf7P/9bn9bGx/xkJXYIHAlLRVWaa/yh/QyarIAZ8yIR2Tg5L3S9WI+VEh0zV471a58Y3GzE/QpTVvGEuyytU26Nu0pL7htSUH/lgBXr7fi5scVGv70bg4pS5o+8HMQ5xOdCRZ6eBnw9S9pqqrmezKgke1MDm4JCc63TCLfOP1C7jN1TrY/uNgkXvWo6zkKM9F+gJ++kPpu+/3zHj0x6GwhsDNcUklAt9+Utv3SbdfiemJHE5RFeiOWuWj6oGnX+aNCtSQx8o0i7vioO3OpoaWSQyxhagRfYPybyF2ftcDipmVvs+xzWyUnq64r50E1tKuCOARY2ptenwCZgE4TDZSYPA/8qjZBNzGNnNUhyZobkfH21DH1B4vnlz963mcmHSA58MzZqyNUyeFOP2v91GHwy/wEeCgptYlYKCRvI/Mwhl5bU2OI1bjdC+H0MwZgPgH2lp8WbjAhrNUEvwMtIXMwfeVDRoq5DloRIjVPGRCgxLZg7BAy1sv0/CPpwZcSqq+y07Zp4LfTtTUwaUP6uqCQNwkgD2lM62p5THuThfD8fjAZ6GnC/AcM6spzjRov1CaHL4JOMYIGMCF0WSOeuNG24z80kRJJTt0rSNYLeH1gBl3zqY4D7OXmdfOYp+l1ha08ZzRiIdlR14ENCfYw28PmHPXZhXHa8XbB3OAs3emTrN/YdGCEGz+zbwjRuP1eKrH/gWxNhKDl2La3ivL/p0lIcf9crD2zjnm93PBpxNLKHOmnF5mL+2TTzaiE+H9CnwNSZMTDloIfB0J6osKNEjmtu/cuRT06R00Tw8/L9SKqIrmU+P6p3RNunoFnLYTUMHTDO/yAK1QgU4Drec/csAAc14GmGdhp/2uRlmWXRumr+21GZYfUph6JnuA53vXITq4QJGIEeiRLQV+WwKHXhvmBcC19kzYu2xFOdgd8MokkmATOE4+fuehA8dLRx2DDisaCnrEJXnOWqsEXSFfW+e8286lQIdG/5ttmmANSDyQUvbc5hZx4U8vQGdxhoEfbnPq+tXBSYDYbvumAD8Tih0sfaxCfiSDupE+tFhP/NJtx4p9PVmhwtpWtrl3OMdIwHO8c7GAavFQBD2sSOM0jnbKYrIo4Dsd1QJ6RdC4vcl+2507VJ4h9p0HDzh1topRm/xLG3xS1gz8ISQfppqqHOSAxfMBGO0Cp/oEvf/m80IW5evops9zrHvQ2R+s0Fk98j3E2RZ8wc5DFf7qnSG9VRpJwQmtwolyp3wCVwoyHi6MS/sUE5uK2ZKX+5MJiCm0fWaFH4hwfmMvyikx/oL5sJ2JLZ/N0H4y0xdu2D9zjkw+2ShGPFdu+DJ1kGqQiRil6fU3lP1UgXY+NMg3c8hLiCmBtMuXjLxLI0A9sPmh4ubNbZ4pN/XRS5HRcmEFMqNUwyzfmj5ZB8z0FWKauVO2cI+D1PRFoSo+9/MFvGGt40nWLo+A/5tuL0gO2px5z1wA4uy2VskJqVH77ntgV9asj6/5R/S9rVbSCXZf0zV1yhG1dezfq9c8gBa/1kG2UcA94DmuWYECbrcDcC+Ke309CxICiUsUW6aT6eukpxW4wQ9x+DcX27dtTGmBbcBx4EMIm3mTcrw+QSeEoMnvyuUfPAZlYc62B4gHFrFKzYC/bDak9xZm80G5+w3p/oJf39ez4Ac1Kl/C8xMBem9te4b8d600A7x9HFdTo0Jepcm52v2xc1S6gIkOPF/KBJYi+LKy3zwy/FE56CRtRfP+jytj2EHrCQ4uT2nYlrhXQcrsqHR0iUE3gy8Cp2rfNSNuVkwsjdtPKq7W0c5Mj/0gA255ir68Uutj7SY6G/jxrNEoBvIkI8R/a6G4kC2J2whwAt5LfQAnejWrf+Ko3WRdavJSXHhPnQv7nXtgA8ZQJchRhPxZWaWpZ/vGIzeTe/ujAzjvcFN7BmxCx6CtvuvdnxuOpvTcfT1AD8N6tZ91n615ZHrEy4Po20X06gPs0j5FHpU2efPelIWK5Gx6YnNepqXOuQ98o91xkeBaYwviwwQ2HeTx1SrZZMOzdMTZPyh8njkrpREomw73qbUx8zeY6tu1or2Xg/ZhKzH9w982Px0hBpyER4WWoHf1i7I/D5Fvs3PQDnUnJTE1UEgeaps9RJc5J6RPIvSGOtYHIq52rpnxJ+APpMvMvSXwULqqoBxStwZb4OH0jikOC3kMePsysfzE/wK2tFXq7hcOeg10InCR64Mzvqt6+1AP0wMHoDF77wWfvZg+gWDn7gm4vaJ+ptw2yi7z0MTNMxvgfePJMWd77zzzFGI0GeQjD5OrBP+qrfsDeMScDfMgRmR6nV+BO1MB/IYX/qD67SVdf3svhKbOTdp4z+O9S4S55ww3gN33Jv9jeoz5FHg6Z837HNut7GSsnBRsrk2lM1Ex4BsZyGr2vBLLA/ReokxfeqpDPvp5xjQ1ve9A8H2wOHWBc2+aVZVkRQ+gI581S74FJZ90mEgKXKnm07vW7AnrtoDG7poQtD/EiDxqNjwCfoVSL3XQWqOpqK2lSMWiQeu8mI1pNXAP4lCMx/KVuZMNOO+a2YNnqgrA5ZQb/+jxiziKVkK/85YfuWNrCThedZzB5+0AaoZSg0j9H78EPrHNMPVL0yOZ7LagvbaBiuRPOU4J+H/HrTZtXrOnOpMnvIVn91f8uv/2t4GYxsres9/nAIzKEY/Tiw0oZQNEeBd91yv5BI35KLvSwhGKSb9EldU/SM99bJWWmb+prCQSiHhMo3va4R/AfauJ2oyv/gf4bAYY/VEhfqp48s7vBfvXS94nF/DLD8Lma862uo6ShFpeUtIvG/wF/H9+yhj5ZQH8g5k8mafH+uTYxFqkjvIo4vM5IBCvEhtz9AKbKEEDFPnaLIKh8H3eC9pmx5kE3rtfMsoWeC43te4WD1AHPAc3AX9xjluJdElE+1GuaFWmb6vNCwX8kCGt4Xty4DDyPEw6DzBLh6sFOkaoriWZlbxzAk/ZsL0T54+5L72UItykZlIYT4Dh8SJ1W02QcpXjrYpJvxFTfB79AH7fJQVZmkH52SoniLO30pZuM+C20fibhUlo7mGB+oJfvmsr7puD1cblsHkBX56U/WVVq29BHDAaxYOYktb98pvXBdztBrhxK7XcNYPlwXqLyuWTtBLgh/B9ru7zaHqCb16JuY8pJqws29Q2vjHq1DBJgP88ztH+gQGf891Wp125gbVwmqDFv/3lQ3zMbPnJI+5nTD5TjTdqWA5VlJoc2uoU2Zxo+SF4goEPPysG8T5srZxmSw766Z/+6ucDMfM3ISYRpzRnSh/YVbD/+9epkGupy6UErJIBbtNBuimsOfCfI+txAlj1XYKd5fZkckxs4KA7Ov72SwRtgG/YTbrM5f/lfvf3pento0JTZfJKSsDdXJfPnML+jO1KxPbWMHOOTzZpSJ45RFwuplwOXkSHJKM2ns6Rt+IofYgifXJHm1nnvertD0GTTXa5vzWRbPr0VYdzWF5m+8zYjXE0N2ZGJOwPBXs8RTwrTT8Ri1Qlb++naFkpImG5YuA2bK1Z+oBY85k7OpADP6U2cPOAPMiQDGlv+rO171i5OfHpAhiAIP5sZD970vV7gYBTBXql5k503G8AA4N6UKgRC67Z3OIifZlZcA3T5dGdJtIRRpD+vzxnOdQO/zyFf2wB617Z6PC+a6NcchJNvTA9+ALQn/CssNbZ7+xSnrpCMItFwCnY81Wu/UIc4JAF8oGnX7JCdVizG9jwT7MmIcTwTzN5tWQeS0d8BXyL2CDfeZVHiNkHDr4hw+cDbONxtDYPMdjPRmhz34FEoJxT/ufGKHqQYhpIiB3w7esJ8CV//XFFpO3MmkH7yw+5YjP7rj8PS1EXf02nPu98eZ+LzkkVo1Mag3YAfkpCDZITfVfiy867tgNtNuYdvnBzHxOhBAM6mt6BNNZcCHuBGPcJaxTmLu9M7Rx2/ZJY3r3kvcOi0uX9FmfD+45jhn1VuzoIXfDpPuvxLrNAb7MpPe22FPbWcF6we37P+vl+HpKwvswoBX5g7i4VIxsSy6wskjQvlKkris8xvgDWl8DdTH/NHXD4d74ooXHyiQOegwbJMtAgKlIvZXHQma1zZp7m9vQjgDfmAXFNritzEMeWyrHLb1XYurjfwPN6MSlSiKv4VdrqAsp8oT2Xqek/KP7lz1fgd0setCFwi72ZiZMHIdjj0z0ZnRYpKSJU/NZSUb9vBpMDas6ylYOt7ZhGLcPhbLqxH+FJblWRmB7BbpnPH4qqn9oi6Tl41+zfXVPrcu6VxwWSddAvwPkBF9GYacQZQpVCoHWC8Nm44SZfkc0K30lXnDSosXKNSG4zO49RUnUJV4Eq4Sl6qYFxunoS4d1m/fTm2E9egOYv0KF0p4iFNmDbck8DyVLb7yQzdd6Zm7qZJYvQUUVS5ANoXp5cU1qCPoLvitMN8FDNND5lHX5QNLk0vLoZw4GMYTci9f6uRBThy/TArF1dgSVNFVJm1tu9jk0dCQqo6Y8xKMajBfQ3v2PuH3DMswown0XXDXC85MwSIcPZquNsrTujLUNbFpLXazLjDr1tPsIr8urwz289ZWmTALRuYvq8S7DPtF8QDpTpZSmrTppkTvhOScxcvFLIXiK1w+G2r138ooMEu1ePmiOHd/IA+FzAc96Ap715FHxu4lWhbTRIaM572Zo9jF+q4b4SZ7kfXDWZ/gDKbnOIiUsl8MQ193LdXtIgWc7RFgE+CdCgZuKMqZ9FmSZ7gpInYNKaFZz/x7GfLi1Ah/bA5/r7jVlzxMQ2PhWI5i9Yv2hvp52ZTZi8QDc8zijx00AxfNlKc7YJ3G5REdnz4O/C0F9zX3dPo1lWjNNTnGTn8N/djcnnYBDTr6BFH3iwHO70ThU9HRmhe+1mzxQ4aGp6p1LMM+btsj51stFfqC13oM121Nzz6i9LBfqVQixNX7N72s3X1Jr25u9MvOtu5iMzdV4OXs7j9GFqjQxIGRuT41/38NruwZ839ZgkoF93qUhSEba7OiYZMOOLeQ8VYMA/0yN5C7bKS8m8rBLtCpouyG3uKTDR9zk2ZtnrhKTPhfYFK58ilsccYl/Wo5fRkYLL/szTW27xe2nNccPs1tQPmpqG2kli4gAvDLTdcB5gLReiyZFbgAG/s3qAi/w/+wWY7KUafTS7LUvXvXcGXglM6mj6KtcRrure+6hWWYBOLxshl4MNDkxNb1+5gH6Jm9A7ZENrnwJ/Bt6VZ5btpSHfMYjpwEXDHOl/M+JJ6PU8lHZVhB7u9g4eETwfD0kHGG+rU87lnjobpxTbscm3DnE8DwdtRN3pCfj8cXCSOR/sUzVmj2og++Mqy5qBTu+3QWOlHkf+u47jWzlb2pg9dBNbOvhTQnxPQ89ntHGPr20Gv++AGiHM5M5H2yEFrABfa+E5EtyTB6xcVQ/2LmPcZZ3/I7k0euEE/M0Bu8/Pu/nfXE4aEr/WxEptfOQaUwY+pYp2V+VbWcf8Sqlm0v3aAG/YAd58UipFQ5FWI7pChIJ4ZfLhuOnR9cmE90PirwVsR5TOHIP2uyoLT/8wSqurGPEe1ieUbnI8F+ypUDtAHN7XTD/5qJHpz3Tm4Zr2W0R7YuqlfeB6LKNJh4vy957daA3QXf3R7p9KpwsGvQ8Y9jS1IG/sFWzzZLCnuTWb2TL0aG0/6ssf02f94/iaZ4id+2qU4Yl9uefwz+PggCbsAcs0/4bvTBoHMQralYY4F1GymHgJe9DCfnyDjnJPVL33a9fE3ORscjygTzJs/QrsJB/JmMY6xU7yQTWOK60Pv7UgCKHc6HANmsUF/x2Br1uA0Sy5qtB2gQ8Vqc5eEMuB05e3BtSQyS1/f1fGpoN0mudJtCfVyRm0Z2F6LKiQeflA3NqeorLjp6MN2m0w5y2gQ5GZFTbrUmOXxKgsx+xWc9OLYepBS8pmkADSoAaYR47uv5nI63HVPR6yRdl/zcytTXOZL/WIZYqILJmZvXpfJWpPKTc9hpSpk/poYp9mnEfEIb5i1tqMyTEtCOejvJwB06q4uVV9Ys4Lfw4reufB2or736e4f1YarDfWGXCs7Le/F/r7wG77fQA9BNxigBiSCKQWiGEc2/xYoQnlI7+Z/l8YOC/o6pgN85UMLWNBa+Hf+ZxoKHv7nUckiKM/U1CHdbhY+dgWMrJ3sB4iH+U17xHEm2QHsQiV3PS/VCfA3Rb41g/XyR5stAAO8MS6pcQmocGQJsbXOvhaGFtsMQL+DPa7D0wLzHX6zVOmhv0xo00ups5dFQj4Q4uBe451ZAsR9xsxJgujqq0ClFUx6M2RPZmwN3XoVYJjqsbUpvGEiebwexqsCrCx/9e7T4Le/hRAnevXdk67//WSr7qvDejde0mbte4br3QmnfapV4FfUOZB/CGodg3/2IM2Tk6A8WPt/t0cHLwRonkBn39Woba4m5o603euo6khz9jggeXb5hy1wi/APdcHrQrBAPwN8HOf7raydMx9TGvmw9u5wCaf1m+K8Jn3CjHDH8XyUwU6A63iU/TlqUA+RbTZlL1+r2HJHNvNQxkQ00u41zPEjE/QqXEOlDrrf+8X+ZniAT67YqALS3fvCt1WNJyEgL/zHJ6tUxfQbRw4A28s5TV9u3A3vFHYxXzl77yU/hzZlBfkYu4hpTMT02f/FG0Tac5wAl+aHqYU4jlwnpukqmqAW9aUVASBzr/MNOfw7xZPlNWinPs70pcLD9prak89H8lC3PBthynWaq0j3dYrvrNQg8bc3MxcPeAvDsR1Cdz0B/wKY2f+AW0cQFzP8t08VMDxqGV/40B/YIEf/LK1a9CkVNh3hdCOdH8fSsjoFJL3Pex61tdH6dgtxJA1daUG7baK8epVZs4miD7Yv0029Lfj2l4hng7M8nwabn1zf3QK0CKt5dBYeCd09hDjZHq4982INyTwK2bzlDHvnfc15mFCcp3cuYNkNaInseAdNUbl2NIaAXcU5h45MXdvm4MN8ZuHXh3wU+MspmfMhC3ywXu+kJE7tJ8O4GNXwBluzlJEnAwl5e+zlIT0KFPO3arF7DGbUDb6ExXJAjhS5Mwr1WWbQlwvgR9bTPcrHYipYbU5J341bAUpCPDWpCOI65T7ben6P6pQAmyZq2F7Y/b01kSDhO8/uvyD7baPM5s85sxmFvQhjci9Ai2F0fRsKG/T1/ab9diqV3/FdrIDXmMD5XoAvnamE4GZIwr69ylDYvImo6rbrwy+j6PpfZ9yxLbGDAF/DoG3OupCIWZgB11PceYqBn6ir8Cfpy4FzXWKSvvomty4dAPr1ysrfagCO4BR4Tmfq3KYdsrab86FvnGGZ9ml3tHh/3z5uIK2M9heTJUKfGCa8qO5/DE3zsBnnjflNOYs50SdCXQGcwj4s7K8p3R+Z6lvGltzuvvjUiuza319imEapJi+z2HrZRwL6izvmuIXLdpPEaq+cRL/HGVL6mw8M/sNmzvU1x9LiKsFOnwD/Ehn1NSlThFoVwHePx9ff7ya9vCeX09TEabGvWXmzmC32Qi2dUBrOVgsb//ClOKjoFpUZj+A/4KG1ZQhBprSaI5T0/UPLuZY5PflfLmbmT8fzao+IbJMoNlhv6eqGv96J8bzeswstrYO4OsNeGRPI1Jk1ru+8r6hXfNoGP9uYE8zN5kqhm/ZSoCvE/i+5GlyiCRbLoDbr4ML/iPYWo6J0eCScDTWZtZP5O0Bs/eAH7EaS/sk0mcF3Bww7Jmj6Z2zFFemN7IAHjIk0sRNc75bB6So2bxUnM95B3stwqUcyce5aJ+gm918bSHuEbCZhVRrO+LQttIwGY7O9ocWSQa8MqHjb81Va+qy/u+9LMlbB/wgYcP+BXFyqZwWuC9BR9fM+0gePEK73Gq88+4OuEB84NY9Bb+oXUTMue45/+MeLLJJGd5xrQ7pwGXdMZP/EuBiuuQIv/m81axcn4rQBm1+PNpqrHT4268so/yUO8s3dp63o02Az6jkPHg/1UgywPEiF1e7dBOwvuYGWupxDhOdhovPLPAwRo7Sbu/wO581J+/ZHwcV3Tc1663Kbt2GI+BpZKRO/5LWvKvi9gr65XU2M85G1ZN++1MOum3QZGb0AdZPZma8FiKxADsvNeV26WxeJzFVpW4WJe7Pg/P81/fbnEHi8GujQK0Bz5pOrCUpYCvVPOIu+Ya9f/J+s55pezuDWj3HJK7CJaqRwnU4X+jAXyT6nanxagoEaiDhWZE86yF1gDuKnN3f30XB7kYcJ4sUoQ3rQxva2sBPMw6aJe03NnOl4GbfTeen/90PfJyYPJ7H1DlYV0uE+wfszZP1sjM19+XId2JQx2xUB+AgBQ6X//oROZZV9aauRn42cWhRLUuxm4vfu2kLrVUxmTvrB3Bz8FH1k1re1ehQGXCaO5bpV7MqtvgK8Zz3EwX+ijJhZgW0Jt6koNHeGnZsmAr5a/sSugR7RMBLbVEFjdeM2jvaCNZAAaeXjOiEV+H1Bfz6WUfWK3f9B9i1zTVaSddaaY8S0KE57Olo8kOqTpFGkJWH8/u7ylzsn+Xow3ep9mCBzgItkPPJocMMeBVuwNafmJn5pvhVFXzCvX5IpOKGS4euMpKOljzEVa7lLu0xEJFEMysJaPxl1X2LTij5r863tzfKTZAQC+gYiI/RLE4oe5WDvJQOsnmP2CkMQZ+A/zimZ5T6aEZA8de8Bzs5lubuqQCkCTPT99tPOegBiIGl48VsZBtp63ceUVqumqloImDzVs1sQTm548FbuCgfZ+DZym4/QKt+Ar5ucNA8KPz8YGUPRnFv+h2fmP1R9nNPkcxz9GUfIIqJiHSAm2llyTl3ktO/e9hARmedPdWgg3Mkx5LpqkFqQ1zEKkHsbOWP0p5EXqRP4BvrKfyyGTdzkfEk+ddaCQTWbef1ED6owza10UHgZ9X691YHagQN+i//EPiHrjqdCZog4EndWfun85C+0piAHaQvFftHvqK17Hs3HcklH2SQWqVD4qRMh+1nbuEld3ksbTzlLkbGf3A/LfmqysrMY0X6fUfflQWxzz1/pGx7zMT0AM34YrYuAa8f2ZCt9TiZvlMmd83Mm3FE/sfCKPRk0c610WexegrQv02IOWPJnog/dkXxgdoAlq/t7fDf/OWLyXHH7vWVmvw6yn9nTOZRtp7Y5ANfm0F7L0BmdrUGTXGZwUaJK12MS1dWREw5DqSr+uWDUgQhDPiNm7l5P2W5mcWOwo0a5uKN80xgX/b22kTPjYolq1Z0ynRqy1E+QKc7uGgesmNOXRDgZya3DR+baGtXIb40PH1mFikl97UM+ls9hk7DJgf3+Nr0W8nCCZB4evdz2OGeHzOePZuwFfXAbEr/rrL7WsH2wjMDzrLbzic239nI4f/cnTzafleMgU3iI7M2pgpd8jixSgsQdVhS4C8TDfgkh81Nar5w/a5dmm/p649z7sg1tVrgeZvXeUC2KNrDKUT271k/8KHM3EsxbGYbtYJPP/Bu2syQx44asZO9CAN+S/96LMw2tG+/qSWX0gYt2zfAOOWbi4J9yT4dfQy8oFT0a8nMXE2u2RHYvNDoClwzqdx20wjAV9vULYd2bWqCe0nxKEXlqLn6X9+0isbSYQgtdaSmKtybXuTlif83k6vpZSjN3PYYRSIyeTypqSe8nkCTZwNuQV+/YNNbutvi1OI7iPtrHZPPWmcv00uau/qHRvzAoq1pRbvL2RwDn80rl5fnjmP4v29NVJzj35mSrunhcXRAEw4m92vLMFefqihfGbsvjYsdsLOId0lfay3z6MutKYLvI8fcUgnt/O+aZjcWTyLrJcnMqTlvY9KhXujmXctpVVrH2djczrp91Ha2mNlXyprAV8hSidTl/ZdFdn9uylWnUquotsxZ0pSnVMfwXiEb2rYG7KgBUzBHOzMrCbDHlfkWYjwf8+jP+7vao3VdG7AF0M3kTJMTCSEuWzw/OsAvrfaWc3mvxTSlQ1uyAnBuTW4iQpU50ze5UnnMrToGVe/qTQ77A8/wY+Y0y+JrzWPkQmx+Yy8pGZrz0MvLYuJEqH3tKAb4sKpQgVaDdQjVjTg6EiEYTJGMgCMRxA+bOcuR9ezVAB4Jjd3fO0cqnzUD2xmxAXFJItAi0fadD7DgIdGNVmWz/p7t/54BsQ6ZPtdmnmEp0RQdbZ0BqrS1pUWmy+c5QlY2JoAfktBCL3TEQ8rUi3dklcVfM73V5x3Kc4gtdcTf9w6HWrQ+7eeACT02gyZcLIlCeBKRmTXzx+R0SoiBYP8kzAGHSpvv8wB/ZGLb0sFbYb8CM28b4tKFu+3SrF8rH5b83DeAVnurGfD77At0auuU7OoCb3GaUKfU9Cjv+b2xpZfboQOfCSrOnPXzXcaWoLGmpUJ4R0ac5ZxtqshzqGN/1IWuICK9lPZ/TgG+n0VLcpFcGZved4jewW6AW20prOVPGqNr7sDzMa/P7S9L9PhRDqb3JPCATol0BF+GdzYQW4U8Ma0bqWZPM7sMtPjKNDAZbs5NTS51+yBO72D6L5/Nabi+guYYM53kqmhcwCXnhPz0HIGGXcl3BXiXhnbQROmtXMkgu7/AVnvPFFSnQbqaflLAsYcTVWDvcpFR65+E3ADWtWWPMQ6tf73Twbe8c/H3CbgGa6MLiCG2AK6jLn8ecs0e6bAw0AVh2icfMp+nUuhjzpI4s5PP6jIDj9WlOcOpbZUBBw/PnGwqy35C7PQka3U1+u+5FU7VL6CHUa6slijdngArPLDL5GCHK8T8+wl4RWq3r4zLJbX9Ew/tDwVaDcd8L02f7AhtGPBdRtuyEvha2zquhe1kXRKTQgJL5u9+Di1lE4ff87iWIK1miEFtBJyq5eGEKUsiJjjwMjWnzjLVTgo8wJ9MToQoQEMzb1AdfonA3EfrQDrXlSN9Ac4Q4xH4ROQBnv+rd7gB6idi4Ndm9VkdfN1IiH77Uknn9yyFQCz0DYc6OtMm7Ree2voO6zOUv2flfgo8zxZCD7TABQtbO4/3S+60ED+ap+nNUzMt/++7NnUEmpoDrsf9w/TjpYGKuDVdUuD1wvQvsJv/zSixp4IM7cgGoiXTexGVD+lM4EXkisXU0UAeGqGeZi6iWvW1+u3fzn0ShG/bGE9CQ5ywLBUtgM2JkKsOwbdH4Few5zY75dvJ3P+XYxvnRfvRBF+Pc5fsWDTHmUa7o8UPOfhyE5CPJiw91VsOBlaaxs3mlN+9+r88IqN9ozOzx7zYP46u2pw1cJTQ/sSr79bWfakiDLEGfCMkF9MrJ+dqzLkeSzFbWGxnNU42cByH7+6vM+Up6KIF+F7GUbjUzNQ+s7cmwswCrWtJj4xJyYBzgttMeb69AV8cMCWR6loqHfTIHQV8AzMceqEsph3V04/iV2D09ydfNc9GbWbUHGobFdKZfYLUjQovZyt+59vc8jEJ+ZgAH9LmzOd2tO4e69LlFMkU62mGuDzWcQ8678uuoqkTocoFA2ws9IkM1ycd20AW0syuhZ3naenML4h1C+gzF+wlZav/zoEJapvLPCQLYS3YNexHNEFc8j+rYWNq/07AhW3gIgeIL5tmBZ7G8NKA3VUOKTloLBIjiCEtqyhwfMQRaKaXqc88R80T7NEF23zz3g3gwqMsuGDhc5HD9iI1+aRaP0BvfjYuv8oOCTpMwGn8PQd0Eozvcmde2CpLbreb2tFO5myzWisws3LlDr6nu3nPLXxlvXckw/zOM5+raHvLQ7lrIh031D8QBLxMKND182++rwh/70/FKVLC1D6C73XnkFQ03MaC75czVVeTY9MUfpePJkc4fXE0ZWC/EKOTPnXS92w45wR4KYYkMLOaKqYIB2toBrUC13Nz1l6awuSMovFU+K4MU5uuPlHmZxGJKogJePR52YP+RHwFG1+ImdO2Jjyl2YZzUpaj+jezla06Ab5iZtL7tSsLaiUH7iwpvphzejKQkT84YJMIkwxw5CDizFOjXEA/mjoAgyubrG/dCqFjHZkeflKcApUzx8tliDXY1rt+eQOxJmKonRTEbNO3AN5J1kLT2k4d4GOHrC+fFUddaaNnw7ykor45f6BntqCzJhuCiHMes9vRTSLQ0CsL2mfTKdw4/ape88fRvf6bEZ+P/FIXEEOtpMUUcGpV+/MIHLrAkRoToUY+VKF0ysvWbig28fLSdAQ1LJHNCPjBpgdwcJJGT7saWkTA98/IJ2cGsTzEEKfIu45jgfcNwP6iqsBdFZqq+xYU07SCDmBn0DU1mzfcsjZctFXTIcfUXdXIf3Fm+wr0HcTmn2ZNb9Jpuxy4SwP6XtoyyAE4sl7jbFDv+6/Y1B6QUHOIf5wB6pLYdyozJ9mRZo7XZyZ0J4Vuj2u/qP5qelvDu5YbubYD6fgEfCWBGNvWfFrxwD8BA7xTNCU85BtqWSte+eGtl1OGjwe7pcqRoBdBCw77jQwNV+EDQ+YcubHP/Pows/eO7teTC+BnceYK4Mp5+P8xdW7bzerIFn4lDiYjvvyxERgbEYQOoDtAHiEgMLGJjXn6XUq30/tije6RtRIbpJr1TR2q3l1sQb6FzwUPT7Ln3EMcPAD/dWX6QFH1IUaZ/jGAHQ+ct7vKaaNKo9MZ5hZo8652pqnueS64injxz+YUXdheU4zAf6M2lgV4taBNWcFlg+SbjBTlDnDCnjPlBqCR5CSi+KMJ/nouXAjEEh+aaxJOqxymlGjU85Un4EOREFvIIURADuZiT8LMiTcNzE+Yh985wzvKCUqK3pXA7GRsc7GXdr2C1uylx5EiZ256rsjXebY7CPslofJYWkuUr/h3bSpZfZwGv3ftzH0NnI2HxdT+rF2/yr/ewQO3VUZj09L3VhVxlgfbpTJnAXsP8jEHrtddbfbFn/ORDeivrmO9b5OThUwtBM+sTQCvfDRcMgwRZbQ2QZfr0SUfsuejtIDpw7gS43Q77/VP/XVzGqu/VqLdJRHwYa8Kc99MDp5XDl6VhOS7XuXfWay8yNbSblOq+ZMIXjYgLJnwlhISJiumfeJ+blKEj7/33vafHnblgLku1eCdeOGXlaXvykZD+fX+aKxlc6Yyp6GCSMSgv/LntDZ/d9sT1/Sg5x1lxIUYv8q1vzP97553zT0P1BcrsCDUz7CtryXlB/CaXW7rkViSGM/G4H/FGH+TUU3YNetqyZ2DaQefDLnmn1U6+qUbHDv6QiJmN9acwCwRaRAT5sakDgyr6G+8EtPrj0J+5xzyklrRjlttCbkEVNo/VqsP2pA9uT09hNYlGSdEgblLrm7wex9nHb/qmJGji32m1bF0vElFUwcMs8/FMkp78iH3x4mpNSL+ex4qmh6SNVZt4RG03OcjZ3JPJogvU4O+B15sU4EhiRLwstvQ3KXIaP9at/GzEVcVs1c6yJ/EbWPgKfDefsR6DsnQ/5Gmfqkz5aT/fJ4c+LwieMAc2CS6XCSffnAOXsfsQ+xJRUCviEXifI/ezoaDLcgj+lWjdf4iK3mjxZTyMLvm1gz5Yb4rZ7bVMOe5he2aJZYS2OMdeI6xhajwAtHFHYzFAw8S3ou/oUIVfC93VGzHkzVZjKEJNM9nduxTHb/uqPrS9cMKuAn8yCll81Rx0EbX9HOYaA5zjLv4BN4L1/u4ZaC1Zh38HE7gfXsrt5Cs2GxlBUlgOPd1OHvEOTyTwdTGPTxl0T5ov33N+Z0ImANx18rxYsPPH9gydQCBRB1szvJCzohRXvgh7hGCv4mxxZ41A7Zj00fFtmbv+sFGsqc9zJm+lWU+j5WFr42esIIoBc1/5eUiDZpHpuWpdlEMjPSsYVZk/bLUYntqXGR6xUHuBt8VkU7u/bYKDbsuC/j9MFlVSzvdK8v+7znLi5XwKZRA42b+VdbFq/5Xj2gPnlOojsQk8JxagHf/mt/qDmlgc/CZ2dW8nGrtISOhN4V8uw6WiVqJo3izSQTqk0I52dp750i2WXFY0gJL1ql77fIjdtV3guLXWawjYTPLLOsJnsvw9RFcaAoeKBLhdo+DKToHwTPvl2dFUdUUoKqDvJWub3olXnNn4cDRN2CtKkWfjkIcvDMBvyk9CnzPnc87ZtuX//oSkaTSvI1CWuZcPWXeaHofsTDzQLgu4JN3nPdusuqErJKf+WGTrMmT8JYmtH+yPs7Bp9Ec6d9z8RQ8tQq3WWauIg4YNSN6nYM9SbZQYrVfbGj5b08MgUrQiIPk5IvaE6tMPdIuuCYrWVLx2KgQ7zOunplTbmBs8lRkiwzKNQ/s+LwvvVrgqXJMrivd0pyXCF99EOYq7y9WLmaU/NaGwJPp9XQOvD14vlwBe+Q20A7VNw55LQ2WshHmDDuMbcALZaHd2dRJirCZGxbpYb5EaFEuOVS/tU3jH8nb11rKmxhJp7jpgVVCfmsvuOcfHLJvum+ZhDGj9mWthHJTkVjlWNoC/dtgS3WnNdtA7jkl9mGVu+3H6bkNUtr+JKaea6hZHcRes3t38HB7zcOdQqgHvgG/D/wc2M881Les5wtwM2gR5GkkQ2rN3+A3ThTFswriB+TcC2EkBy//Ri1VAMh/14JYtZ6cOmJOCR7/PNy8BPyF/N8+UQp6CDrFqalblq3yWQXblI3cEaHxvCpvItSCr7+oMG6Bhx+C8++Gx/R3n49PEBLxRM0aiLVx6+jTOocHT+nmSSl8VxhvLshrjQhXARb5iO91TzDoA6UFEoRNkkfwHALmjSAH1jXP04os7PA38HdX0FeI1cnU03Mh97J8iMEnzcAR06uPeNn08sf0NgAv9roDHpjnBDYuqkHxbID86CbXDHL48TkPpicG6AJtgomd3GYDzJcT62Lq2G6Yizo2xk/wxlEagl6CJwLGPwmYQ9RprUS0DxV4j8ZBLw97TSN5w/32u3G2CzAW0BKkEsgDpCvNWX1RcXwH1p3Owk5qdyrBU9yk9hl4xL52EAOa8LFlH8TXu0cDvjLIzdhFVukyt+7t4eSitxdHnXfbBHKNXVrbH27Nw8nGGXj0n6xDNjPnyd12z9hSgN/P8lBama0+IA+MwEs7Rg9mv4iQEThuJN88AN7Yt+tvv1HDVSNxIL++1hw8PAAD9FhWIbHh3X5BvgTeni804g/KcMw6YiX7wK3EkteRWnDwviGgD5lLmNn/pD2e8KpOyjX9spoF2JzQvn/CPLqUvz1yl9f5KDuHGKoKtcP2dK+Ch3UOlgNHMc57nNZ2tqGISGXqIIEvBQ+J+eqbPqoMOJfBO8ngeRJqbd8A+W0RkigvyIM8b498sI8KaZiz6HW+t636wNQueuC1cc+MVHyYO7ZPQLtJziBum90MuUy5ifaHpmOLCEF/QnSD3L6YetgQa8dyIMB9PvAeWxtre0jCmGXcl6Bxv5zy389iylnmCsVWpUFHCx0JgQ7g/YE1W/P+W8j3c8OIzmjzqJ3tzPolTaxtZOrBYqGHBOZr+TR1V/BQ9dw0jXmjfFqqQs4J5HXIsX97vvWgCI5wBGQOsaL80uEet7x74+CC9jF47k+rHOxAIpI3AUnK9R+8nyUhYrsp+7hqIjKf977EPbHyFV54uL3DO92XFLywAB3t5z/urZg8YGcbmFsT4EdX0NilcvCtWmPQGfzMi2QBHXvLkbIo9b85Q2NpQW7UCIPOw9+VPhY2TgI1AUEGDbMNT7l12O6pZb7v/Fozr7JCgu4ulHHl5wXe81UJMuIAW0tMXH6SdvAATkRNj82dbxtTszuNZyL0lIx+kXckVYBNUsxx5nJdhzbkdH1kTIJP+LQk919nD6wccn9axF4afd7FwJYKWENxqZVd2tz0qgrZgodlqYSpCxDPErwdLv4tIvB8U9C0RjyEvCJziN/GahMWcLOW/3XmOsp05oGZec2NawbsZ/bS6iI2fgCDDxYJxz8cuApA8pCD22acj6WOy9q+XE0PSM6WSFmfdmZNJfhwF+ahfQSOkaavIsVFDZwiBy3gGb4V8/67Lnoz53gc00sM5tXpPHIrH96X0rk9qjWAnE46ErZGk6Pa6a9mQRHyxZONySO3TR3NfgHP5mY8c/Ge+OC3BxZ4qQzBD/VzxGn8QfZ/NZ06yNmVcpQma2afR/QF4+uVzMPwZ44U/AvmcVhHyBP9JCQ8k+nJrHbbFBfxJS2Ah4QtQAOnRLdfclh6PLIn+BaeFeBpKGS54K9/pZM5mNDw02EBs1QvaWYjeg62x3OkHoRpl/co5gNJGfP8hJcL7/FTRcSsKS155H80hW/njBBTY5O66sKtOMscm+VdO1LXH0TUv8ZLEnOPY1VeA/Pn966SQFEV+ZMUng258hvyZney3i21mrsZvq2sw8PUDlBsAda0PKm1R53pma/8g4nb5mT7b02fLHT1K5jP8D3/6i070pU+p2SpGYYYBQ4YUCnZ50NFyVO57cxWeH9cxpmFH+CHT7VDvvgaX3Lm9YQz5yxkBWMYCq6WSuuFgqfnzlycwU//Z53t75zDg/F4AQZrMW9jUzUXRsjUgrvxvXpL0XQxPVWJM5ccxtycoakDxCvUb4BlHlXB3yQ8T6X/WUdr4RS4kQ8qTpBagCeuFeN73OuXbjDm6DwTesNHJXEIXgEhyJcYYuEdGHZipGgBmhMrAc/V2PyHgb+nu3nIGIFYw14CUaUG+/evgtc7NUhOpt4uaFBPv242jdCLo1qYT7PsYiyKdknG8qpASY+2+qr62M261lTLso6uHojW3/n+nzkb76ShPORBu6Fsezk5m2tKG48hdi1tJPGIIVY5Bq/21liySCP+0o3f2s6gtyxndpAwcjfn+TIaezVP7JMbrxhhPxXbPLOnH9DUNhHc1FG9VQ7P6mG5Jc7miS30nQ865qJf6Bewout3HLhNhjo9h39nv0e82zpp0PanVbup6cNctC7oPskH6eSrcpKIjymPiRynCFg3MH3spCZeOcieRRqrjgcZnwpBQQeEqR2oBek0vKuDudvMYczkSzcys0Ze+AiHC3hSHRGIkbJQrTl/c3LUR+bEVuYEHt/rSa7E9GKxmi624TkRE8sd+O67scDBuuDv9lLDHLMaTjwxQE7t/OG0ti+dv1XBDN4Rf9RI+40Ta8G2IfAtPD9ua/sAXEhI3fdXFl3c0mpP4GGc0vlcWY9t7hJdDgHENvDp3jg8+O4ahUSg0NTDkfA5oDevPcT25GIbWGeuBjyokeSmz2izj2/wuSfmxg/13H6VDEdyVT61/UOtJWlcvhPi8cg7cxcZVTWPb1WB8ypoL7XDjyqKaeYiGFcizv+PAcBj7DPXN2uQSbP396VDNsCLb8CLzzqarnTfW83q5/meLJijKGUoVBTymA2ZnHkS+KTI0cH0x9w14OJ4R9yS93ZKkTg5/RNy8IuxEQk0qm2ExTBLbLw38IcophsrcJfZcWTO8AqmxtzSnIrW9HQ+VntUmjEHTeuAE3pCZcosfZMuQngkc2nLBwcvU7r6Cpr06hlkiWEbqz1JKmHbmeanXKsT+CiHDHwBNlv5oK8iSOxqsKey46Z+yEqHxVa/9xaIwMHBOXN0IIHtS4v7TfcJ/Nx+ZNr/UMPFIvv4xfM+DqQv4NucgSPgNx3gz510QY/HGBh/ZqBz+9ysIff8JvelzUTy4APygR+7vJjcUuuOgrMGn2x6UpjqjBre56BMndphSRn/9zrT/lUNMfw+MWceu2yYDmdzrnsvMcR+zPbY9FRzaQB+ZgRfyf8t0iabZOQ2GVGCR5k06ODScALu5gH4YUcNhzuwusX15z3Nt6Ic+7+9ANDAqSnAJbkylQNusekx6SAKefieMo2IeF8oeFXWl/fS8ljJ5mdt4RVkZoW4T7OB9BWkI8qkB/4pyCzT09zU7eBfFTNna7evNaKSCszq/WEtv7ampjHw/Ttw2OcdPG8L74CX4+SwMC7FPvBwcdlAnDm1teX5Plhg3u2AIVYMXqqkKD+u/pPu4PdtKXhXPuheE9k3rznfK1peT6uKaip5JYA7GbpUSP9KCw/1G3P5klBCKy6Lxtk44NfFOSS7RBBMe8RLjQJpw/wbIG7z7T439T7G2NSsM/UyI2Dzv1jmrhpqN+6bcInOOj6WzPQF0i0ewMMU5I0Fy4fp/0r2vpXr5C4i/1qDUYDv6JX5luIOPUzPI9DUJ/DgwmzdVgORZA+g7LSIcP06t0xziwA7ml5/KidBfM/DzMsc0HUHJbUVz7WtLaXx29GxQee9U0JN/dvsQYWEPCyPlIHH4v4PRv6eiHnORz86d60v1wR88bY/OdMrp2Sg72+/6xPAW6WedqZGFdv7JQ+ZDZ58bzrAk5Ff8Rp32NTntfiQ7mV/es6LDGyW7LZvFWX3o9W2p+fNzr+24ClmcGf9le+2P5CXutceR0l5wp/bgpgz/4H9NHd4gNV+iOYWof4Ivlc2CM81/WfnGoGx51fIzyTv/CoTmwcw9dho+ZYVRNaWfmBEFmLif/9pfM9cjv7rjFlxHtAX5G3ScF3Vjg1crT6YluCNvOM5vLngb9KkiHvwtgjY6CcVKAfPcqqDLcJ8yoG1nmDCdsDtPsSYX4XKBv+1I723Uw54Ioe4rz3EGjLXf+7E4Sd1J9fUuKHav3FWPvJ+s+G27KWrl1qAL4VcVQMjmDvjfGx7c96JFjIx9YNV19yPzryUYnmQQn5Lsw703C7p/vOlG7/jCDpl5aZGZNd+nUNckg5lapRO4/7nflEN3ipxpm86eG9Vf3vmoekjFQPHkjjppVdDTFNOrsAL+9puH9g6PKsCJbxobSwur/MbK/CpAL66m77jgmKTR76Twpwrbz/o+N/9/6/tLhNzmGntnzlkYLd1Sst+imFaweNmqekpqXEJPzcFoDd4IHGNyCPdzW+cvrj3tqkCu82Gx70WjyftS6AmXmLIJSSKxRnGVe7VQ4n53lgLsJMX1zS+ZOK2EGdyzl9zUrnkWf5nDzI3tZwpBfICaTN1L8nqf5geUi+vB1xQAjuBp4xJLgInz+cxo/7VnG2irukfJmNgBHD927wqNCHP2WWWHZs7y8cVb45uHGXwvk2NlIqavtdbGFv8lejAqXicVvpvfWOvAvsLcpWbCsvNQDeqcOuL3fY7Wc29fJ7W7AaxEkB+JTvpHO7ACy3V8Rvk6QH8kpuguCWg89g19fixA+P6xWDOV6hcSD991O7fOvYbLVrIEDHoCnDu6vdKx66g7Vxxf6j3mQ3MPeVcFxlbgoziDPhGJ86nS6JmQ7t/nhz4N3j9UI0qNX3Ajw5/mHvEVZispm83hpz4d64yVFfgix/wvJRwsqn71pOWuZs3jbhLnrk7aRHggke6B8J4VNbEgOmANcGvACea/jDSLjdAGna9InNPJTmjlkv7805CNNU2fr3DE3OWCjxpCJwalNYcAxct5sxmyfSOI3gmAbHg2BH4lzATCwLvEOOhd819eMhdwHPbpGGNxcbAPguPswB5+Ro7kI+evMAeDqzXmUAP9PNpzqdWiOM0wk8hlkKF6I0Bz9eBqf3Pw7KIC/hbS82nHR5wChS1A2ZFBMk+L9AM+SyubbmDeJga5hEVtlRZsmXuwSLF35peDKmXw7OcmkLfkrGlCfcJ72NBR+Ql/BP429QD8VoekUfSNc+yg88tLivdQ14G7y+Mbx3g/YglxWtLpOlpHU2nRoNi6/IBXvjlUwK2Zha1yg2wblD1/V2AIcsKdFfsYPYWMyVMPcrHBqgWtH07VKPK82BLIP/MhPuT4mpQwQWItoX/roHvg2dzf0fs0Qw5c4N38/o352l84mLSlSvfGldmtG+7GnI1BlaqInngnUqP1vRkQgJHAccitePO+7OivhCR1BCANo6yOx3aTH7NUTle7nmho3SvDnl42PBgedUV+ZKRDMG7QBwfPNPng6zIhhiOSSdJbXpGjlOZCvyWDG0uez0ewWuIvbyZnh7AkZfMmnLwZteamlq/yFVagUDMECam3yGKafdXw180A2iq5U11xM19mlZGmJPI94BB1qOLMuBkiw6b68nWB3MfOAd2SSN/qZ/vDgm9UY4HG4/xR12QNnPj2bzzNJg2JUvcM5XZOZxe85AAg6SMIdPv3ty18xOOAmDuPIOESYzOOcsHxNKTiNbmBbpla1yCd5jNf5+ImDfC1MBa2mpVqIL5nYJeqH7O5Iiu0qzVjn912vvc0UNOD0sezqN0/5m6YPfMLm0YL6mKWJieeXSYKgL+qFxxclqZBX6kr3vp56vsMTd9MeadQL9rATeTeypNtBAb++h4j5L/9UJ6A94FzSJhbfsl223BG1/spuifJf+tZ3LE4e+5gDyzNDAIAc2UIx+DFVMlmsIHX/jPlSvPpY1l5foLxNSm7sy9UYRl/2mn4fI6H2XV+5jSMHiWTnnHlEOOnFxGf8/1ORU4MrX2Voq0ToUMMse7Z0Ifzf3qKtJSRlOkhMykvlyrfe+dHO+3vi8Oth2wj1dr/yffza/+RKvp9YEtxWh/udKQOQz5FoTYASzUKi01Zmz7odZ/4KmmA+X+vkLKKb/mEjxSDO8MPtNfwLsIJpA5E2NRfoD5uTVd03mD+B7y+19fzqrjRWnrQYZeYXpfAYuY+wbXKrT5Oeph/k2Wqe0Ceeuo8vcrj3hbU+404/QtbX/EZhXPYQsoVkqHuQVfkfzWI+r+reCiU/I/jkK4k1zs/aeEnAB5fjL155NweTZ7Bbnj8QQee9IgsVSBnyWN84rN+dGyH0drYwOLBMlq+v8sHaUH15w/AMbivN9uRFTeQSMXPPLXnD+QcPGqILsDPwLbwhwfp/Rkk1PVYZIjtqlgHpRjtmYuns67G3gHlCVDXJh6zqBpC2hSnIdtRcCTU82lEsmqeFue+xj4T8+mZ9drHp61TypX580a+9I+WMY3gifXwIWVKhIXPEGXR74jYe4oM3+AQxIuSwrzILEW5+Tq8rTy4xkGUz63diLQmHPsyg70C/xt879zX4zQeFdZquUBOfJwCzo/uRlwEgX/c3RbUaFPrxpbV+j4flzRtYQ8J/qtm/HS5J+Z93MrenQpaWYd18N6Bj4/iwnmv3Ihv3AxZK/9yjsH+3hmM4JxmfJV2Wmw0HPA7ymVp2zFFuj0d7NnTt0RVBb+RzaafmC6qKOW5Wtp1aM5X3SwU2AtczcMO7hjOj7UrprhHQ1NsLzuBVjJ15YlvXcxfU9LC0U8kh9H8Fmy8CfTDx28+4M5Dytl0uar7lOqpnP4/ih7L2D034a6h1UNc192yMvs9qsJsW6o6SMDHo7Zj8x93Xm8eRCXb6A9mBhvDtzBIz9s+sXcCfYqmAs16O+5Qx85lVbzOxeJR4spI2HgHFedm3ot8Dd68GQ/TMyO2WsFHp5+mY36LtXqNQ+FspglQeMFW6qkb2c6WA9m6Spl00Cj+FIxbe44Q+aSngq0dRZorTnoVBfvq2CaKhFfYV6cjI8jFiKVOZuKprBxtvvEnqbsfz25MDCMnSLIQXuUcYZh3LHOmdk/xAWMY5f3+AO04oOPGNeWfMvN+pUb3+C7vXENvg+ICH5v5eDljUdu9Oc1AeVOqKnBBH78b63ytp4LeF6H9OCJbpLqE2MccCYOIM9sKhb7eeEv0oofGZtBnLecBryH3NPlrr5nenqThV4VU341YD/rF0E7/wDcvgNvfEqEHVbjX/2on7rvPTDiO/iOe3iWC7UWAXm44giYIQAdpQjV1mzLAn80SP3qO2jI2FA5AzXuTg7f5V0DTyK/KgHj6ra83vcrif4t53xrOpe+1gF4rg9Xwi537sKr14lVOUo3K2KMXdyUT09RxB9VR54Qw1U9oA81eIhYc1Fy/4Cf749zMDnJc4Y8hBIVQK5z3q8N0z8pvDsakZUO7y+2uTZUodJBV9X1nhgnkRTNBrRuNXV7xNgmpRWfKqYW6WhB2XJSvezylXsNx6jW5VPtS/i9yxM41EoEN5Xb7/WgvquCW3hv1sT+6lVaSWj7uekTwrDZu6UpQwR0Bmxps+BgwQQ8KkdohztVSZug3GnNerSpm+gJMYNnlWVpx0HmmjPZMNUE4VmHBGhEgZ22Kq2/WgTA277FTTdp4J069DbVbosrK7tiYC7sfgJzcqfmzVoOngeex/T+fiYDsU4reRLNVv6cB/jsHQ7sowr5YrS/oeD7njeL2n6bwOe/YpkJbCsKXve5zRJ3mhqBvktuGjfHU8b5gfNWEIEWs/9BGTAJjX3WS/Dn/Hne81PZ+QMvdAxaHKbB9kPaKOa95BnDixDTKR+W11plSvbxrjZ7Fo6+mJq81KwTMlkpu+2AzR7c2WY8VH4m4J8e4pBJDtzn0wA9atO1grZP1cmj2W9XMC8y4X3DdwEt5V8VeG/lkr+zxBQ0Gljsyot+83vvLt+mwPBPSn2zzrDJwziC3+UpkhvZ+Seyxr0cJEs6PZvz3s0KPFi03ul5u6t8mycuyche3iVHJ/j/EvLPi6OM7nGmecl7L2aOPYInueSW6YmmaUV5TAo+Jyv4c1MfVthxY7WchOSBHf5d7Ru3iiaIkn+PpP9cT2uL5e7dw46n8z5+1q4vGnb4qzGeIPUQwgurSGli9Jv7nRJeQUNz3VyGNdczjPEtDT4tNcQjd1Eq2eEqx4slC0RIpK4V8zQL2k3pKo8B09E1WKuVbHKtE8i/f71agI/udT9VOPSiKiAhDu0rW1udU76HHEJzNP1Uvz0fD8DWhCfMYydrO8sv8OB7PPAhuQLfUWZzS5hd4w6XjancEC4PCZ5K7ObXeZspt/npXPgtcPN3nm/BW7Up+ExJus97Y8W/Zz9Aw0C/41MC2gZegyZP4Kmv7VXkwHxrY+oj7lTPv8SY3c/I/1LANeXYdiIo7eZ/dW693MEcPCunVsuanj0k836A7O7EBbbS0x3maQeaaGpN+0mvIH0enJOFc9DEI7cuDu9vEFPkWfd6U2q8p8U/D8Pcw1H7wcP5SCj66xcgoukHvPsA3vKL69hiPbpnXzcLPP8ud7mpI9xlz22QjS0w36cHYw9zE9mmF51aVV+703AEXTw52x3jpnbxxoa53iqbbxLL1jz8q0n4BM8NORCzcwjMEcV+Y02mTykpO56AVsxknGIiGgf+fgGacDRam7N3D5gohIi182C6gG50MsRREmqfO/pDjqWbsoWKcD6dg/nl9Uht7rOj7JFxkhPL1Lg3vbM1F8Ag5Rqbu8g9jiTCEKsJ1W3O+J3auIdwuKoCbKXQbi22VRrBPBrxR2abrlWqx/k8QH7I4P287t181/C8TRjcs47Hpl8M+HMbniepi2lXh/OSUxzCXHSAi1w5xkNFy2e62+7kMNGqaw/mDJYMzX4psitzd8Mm8Zm1Yc3sN2IlT8W8/9b6uD2r0adnhN8Usxn92o7pHqc8jBfs8k3loENlmmEI6Qiztrqbge/sfeZyYOEJn2yfn4XixIqvwFutouC/qNa55aWsJzrnLYE4et1d2gFXAo8i8DPykrDN4zwo029vw6jvwXtdUn4xvVMsGKsrvKupYqioAvmtVnKAvA1S5H83psbc1zxhrTj+zRuHtSw+naYPHhnk+9dZ/bLX4Fn1LrPRkTrbi7S2bYXQm7mTBnPGOhfapQFhNJjmfIgNu6WQNRblxDnkCHB/Lc8DmVcBWzLICMRZ8oZPpAkX3nDupfSPo8DverzZywry3EQBayqxFZmzLYEryzxSTlNMbS1UmWhUqmFbNIUUuEBvtP90zpE/lF0rU+rfgGne4F2U5UgOZ0YcjEw/gbio+R8fRsCapt8QB9/bcysmtPd8YL3vc6EOYvR/6qG9KdpbR+dzVeHDAf6wKmHW7oAV9+ZGFLnRkJfYQhVg8qgs7quvd+OfLBUhXw3l3/moZAQiGP0h6+Qbtt7vHBiWWJ93RltdhY873zOL5jNPxWFtAvRddX5GIM4g7tsMdBye305Wc6ckgDwCY+EAKz+3kGfBtzn2LQn/9iuBkw5PEaoW99MN4jnltt9LVC7lKmnuzBvSB14SZnbC24KtetcMdgJ5FcaKrYnpC7kPHOAQkgeWB7aoasQ0KNNnwllWFQVXUMAXRx1Ao1apkRaRHon4vEvkAxPqt8Tld8AchodtKfYc+CKOgJLA3+u27vAAsVGosLyfWfwF/GCLoK3ORfkEvz5AzL1l3ecGxiJnkf/a12uBic1+UslDc398js+Id8BjwTn0kBQzAvZ/SNenCcRVDU98tMB3u2hMTL0vc49GNwsdwGt0KGv2h0UwbfYgaSPU0gz6BHxf/LFoYHxiizGwORm1C1r9PHNc1JQ5QFcfolPf0uUp7tXQFNzJRuA28VibQlHGdJig0jL3cxP4vnWoeO3yCxM2+B410UGWwDavmk6JsqcdLeKb0Q14tg0VU5xZBFzeu3MGD5RD/Nf9/AEx2pWmHj1DbdYz4DWCwAdduR2P8Cx7c9+Wm75xMMfVPrvXRk+KYFPTv/vml7RAjzOaKmlBvJi+jONEkwF/5dHnVYr4Av4ngXeIRHGxzZ5QGjw2LJjMeVZNg/nGXPCRIRly8flQYes347+1CdUT3iFwJN5w93WPY85KmJ841Cce3mwKDHMCZ876GJ7Ljs9jaZEiTuQeHc45+CMOfAFxXSGflYzb4Bs6YsmvxvU/RIBPOcKz6f1ZDXMnBLrWY2PV7t86NoJxDnOI4dzK7uDRrJrGbyqMzZ6KJbgCnsJxTn1NV2BCp93hwh+5DeMEcQL5Djy7f2icB4wxSEIQVxlwfDMES+McTJ0fh/6v17MFWvtDA9vC4Aplh6Ykf3/i5xycO9UR7vssVAUMBAPN8ZJImvvqaaV7eO/+N4zpE3zzjxQAx+DFCJIfeS/Hyr7YtTPdmhVvVDi96tyuwBamTpKpBRlAzr4xrhgr5M9ZK/jbsQ86w3LHAn+lPYXapA7spUbkku7mgJizBhGBXI1EtvotcFVLR7WvIwa+xbLUCMzg8JduaMm2KR1N3xKYCx2zcb79YePlfjTdelyUZJ1Oa+A4WnBydMiPOXsjQk0SjibCJ86FHYG+MCG2tzziEljDEz1aicYQdPjKhX7lr5z09k9ekFuOyJwKlYE38BpnQVW4DeuefxPBn8zhM0Y8EYxfRR9Hcs8/iEv8ZvXBV6JYMblyioDXbQH6+1YFsV9ZatMEU1oP8nXn8ULD7T234ygZ8YTHg3NGDMYCQtHiGXbUs37O/1lz2HOZawnxldzPvfdWWm3cCI1J1HqkJyVzp7SJ4MN6vm+ci0X3/6xyMKub+jUP35r+9lDBlkAe5JK9P+gw8XPx73qyLx6xWw3krcuCzMwlwBXbiPLSgxzlYVPTimYeC0vg6fjS6OApV3AVNvYr4Fgefi4ZPC8GjXjpRrYSm4itQ/rtgYdbRF15ywZ1bBgaskLvmZsAZ26f3OWHas9nydubGIjJTyP8pb7qFauGpVS79xU44JsJtWMiW5q+HYG+vnnn/1ej4JlswqqAe0fHtkTk06owdaClBSxAysLUdYIYYKXN3cwRbO4J9UnCHiv4sTLr0bFk6CiD8lFFfkxd/kFD/VEhHCskI9CwPRv/+i/P0unh9yyLDEhIyP90zZ5JNDE18PL8te2UQyxVsKsaSZm4zVWYegdM7ipXJqlgXm1tkfHfssMCvDk6B+D9bHQA7zU0ltwku/l132HAzFTsiAMJvH/+mr/K8fOuik83Cb2iQdMbE/yn7tRXY3NWOe+2QsBke7QBrl6pUy5Z1zxkfzPvr5W0d0/W+0OucZJE/ltCMc6j8m8dgCJgc+vgQeh/KxoflM429apkvlcVBY9+gjwAuXDge+0I+Ad80Y9hCHh/TiI88EHe/mRx1HzNrvksmOs76ioNuvNxdEvvtPJXva8Nzm9PiIk+Ye0J8sApG7Yf4Fsuqp/vph5y5qIP3pvaAZ9OFWhB3KnMTJ1sF+0rNk+K+icayCEbZp2tpiejuce43BrjX0BTkn555ZSU982VO7M+rvKSi7YsV33MivgNeOUOOfSa2OA7QefAlDmgU2Nu91bD9EIi//a7nrH+u8J8XMSofRlaVrL2Cx59XXOEAaxWOqi/NfPU1IuIJv+31v3QQ6xOJTX15vM5gbg5VSsQNccmp38kvX357dleTG4aTZhbS2g8U2Jhmhbl4+iY+ovTHfgkYaBSpn42ttXlTzfYfKlAN8DrfSfWDTySGavExeGWgX4jHi6B4sos5TyBMUbKMAbNPSSdCn/vBubv10osduLEP6TLbBJOGXjcsY7am4xwSK2/Owj65DQbDj6WONtE6YPZh/NqTeLEkhOjqhCmDigN3Hrvf5ChPUE+hp+X18b0MYPcbfYK4D04aagj+LyMIR/Dc0MMemb/wKlW/toLyClrc9CnVu3biDPpZJw98BoAmyUPbAemV+MBuOOeW6b37MFm6J+NV18Dk0L2QQdlEfA27TcOIGeH0tRqOkA+GMBrPeuOPRpgiFd8sWjanHfgMcbJkfnNO3exhndnrtuGvGgeimtXws9Kx64qe3progbMEzYd5g5SKwk6+c0iktQjeIgCETEsoGF29LuXzKWux38v7f3IIzlT4KJzwJdGIDsfSw/yctuAxpyR6qWrbBHFz9y9rHiN96mIC4irb1WAMeuICzzksC4mmX1wIYZ5yfWGBodrUzRPvgJLBfNrbpxKqhhxYw0eJqPOPMKXaVNONmWv4J2ZezJygtxxT7n/laz+AXQWOBV4Tn96QvdPbHp+irkwvkxaOkvF+5VG/sKceeI0e9RUvs46elU/w7wGNXPiK/DrdwrowLX6EntkZdT/LgUC3/UOeRByN1ss4DRTR+faBPgC77nMCsj/YjuzAoW1c7mWTOX/6VlINkeX78BHvrS3zQuf12y5nAfLTgZyKMfABa36UVSak5K5dGxgEflVU/Dh/fum6ZKr1KCXRbAc3f/cS5RdsjlZDxfmDK7C+Y31Nq1tPxWDd6uK9tVjl2WmpgVgAujhDQ82+HK7qlfgTMfUm+2feT6Ls7lz3mV38GagP0jA2Pd1F5v+AbLuY9DAxdzxdbDhB2bOm3JHaTwdbWSx9e/Oo4Rn+clGfa3NWWCHnPII8aOTPHIreCSi9Dg4BXgfd2nFO/ABLunRhZg1QjbDc8gbiaQkg01U8LhWBZGQa051hPNklB8q4sfM0a+7nDv4ToiZ+pYI+zKQtxLyamnxkzT+IEBUWqb+JqFK6BtmymrgnZcDNmcgq4xt7WyIqbnrlggcJShbcKfGZGh5uR42rOhhFuu/O4+5ngSJ1B0Has/As8Mcs6j9z+wNx+CfZvBjrjD3L762Nue+VsVksec2zLj+4lxVLIiP5y5ZStpiutffau2vPLRWeH+dymcvY/h1V5qdTW/FqLewgzD4QfCLG9fEZRLi5OQq49u+TW+++gv+6Rrw9T7kL9kCu/6YeueqA6IJs/VkN14pcEL2POXBzaNDsJHaH0G1X+vYD2LzDHynA5zX4RDtlF2utd1eQN0dU4tYDHKRYsrBCqUS8eC3Lo+1WRsRLEz7HfDjPbMgE3Ce5T0WBPkSnlFztg2yQXZn8cqVcyH3ZODBtJjzizXioOUKxrZfFcPLcYW52dsnYPahHMFXBws62tzUbB3Bd8d4mGVtyYeiaKJOZuEIzaKfPfBgCFM+Eg1+3uWvWBaYK+AEX8CcaSv+CewGc8TanhLxeWVhnIGO09ztr+fQTkVHKqVhfjrZ8uqhXJparaE9ypDfMSVWNvIj18li6obmjMeJnb3WYAMVLDSJ/tvX1L08UmY9ZARkL+L5vOdveaB/60odV/zGRpzjfkK10wJLtXap9cotr1OD54kO9BA4BlNc8t02INYWAydM3P2rzbJTFGy/E78x631jbgUcHQ7xOW1A00tiN25a4CRlpIfs+VWFl+uZmrshj00p7MncDWdiXs+RjprO9CdiCzZ3GYe4qnvgFCZREv71lZ5kAFpgIwx5dFc7+mRqE9W0N3XTrmdNKvCy5hzTCDn/YernKUcf1MoZDBGrndhowyLAwpCvuQfP4TZ74lcwHpg3zxRxV7l/NeGDul8eiek1tYKP1GZ/1d8n+bbMd1sgXfmAeLtDzO7KQc21CO5HV1rm/n4CnCQLjkmYrMzU6bX/PSQHj8kh3nVvaoFoyBWbrMOv2n2Qd8kDfvZWrX4Geo3hXV3IGHeyX75UoBHoH0RQ+1YzsoMc7RABXiTYfnHQd+rgTAUyYAGusj72MxaDW1BfwNCbxmrc8+7dYvrvTOBVDNmdadKWeipZ59/o17sr3YtXFc01cS5L1fcPFoCHDQ+u4iipnG0rCn03tRia3uNihB/2SjRIVyUvr8zc4+z7taYc5v/25zz83deb2QAZkce7spNEOnFRCgiBkZi6HB/AV2sSoTewhjeC4g86bB9nFpeN015UEQMz2QIL0Hxg/wpykgpMzUZp7pfe8b7fnMfpK9fqtVZp5yv4b3DN2NRe6IMV9BG8cnzNIcLLQv63T8ptA99vpC46VmFrN6Pc1fqfnYDDpjY5Vqu+NCyAmG7cugueZ15uypVUmRXPolOvswe/50hys5ccYl2NSkLehvGf4pOzWbMe/tXXNji62ZWYXn99HNYhN73lFlOnpHZNzfjYT1aOwIeBT2is1JyzceU3DmVAeYxo8NfbNFQi/gEP21IEQxvY+MzNXTpF4L95Ege4Kpj6KkSI2+p4Bt2WRbzkLr5VznyjjsdU0LZJOOdqjTUffZS54D0G8LUQ5dyGGRu+anDdHBXa302kVrpKmQ/eR5LPGzEcHlwoIHjFaZFcIZ5JimJaIXk6usw1PSWAeWaBUFs7EB+B3iUIlYQj0xvlCfQ04UFt2P6fU/+vdvqzdoFv4fuJqO0ys+87SJoK7GGnlapHOe89vxnIo2aN3QQ85J2pKS5nFd6uWMsUPlfmVmtqwnwAYbfgJ37XD1OmAFDkreafrz2Olg/eU4VSnGz5nfX4S3aK1eEFGIB4FDgjZZDvRsUr1h7OXRtDDgn4Hj3zfWbWhzpTWwKYak+/btfyuT2dR+DvlUsabnUuFMpE++INJ49iB/j4B7w++ALNzihZBWqu5SgJMWtYIbOzAvyY3UqiSS+5dAXSSATkRozeFzKUtAXXDc88tlY5+k4Vmt7aJCw7PIGvevXxyVLKnlJkngh0SCLkgU7/3terbXXCDH3kFsQv0g/aoSEXPKECf2GzxrXiLAnlTVnLVx0ScWaJx0z98UC9NSvuqD1hYI9nU/y9wzTdbbUwJ0t7G2U9zLs933ALjUAoC0axYBCbjZ7aPORxxQ6b2kInacc+y2c7d5NN3vWgE6jMnHbOCnI4WfIkmIHA3xraMS3+apj46d4/mXojzMYY/KTLLXnMQ2LB/Hoqqubf/RWkqlpPb5Cv3SrSG+DxylTGTyz799xrDp4DnnmEnPaR796vv2uZ+vMJXrNrABVevAE8EFfhO/wNfsUie0JM99U+eOKv+YPm7/ea/7uenMP9tPbWmfvfJ9u3+drcqxX18DM7LYBbeeBygR05fl6BEwgfyDddIdeGniMi/DqrD7mgtcFzbhrGUTaSAvLXkmlz9wpHdbBxYF7M2QAsH7SFqcPZhCitdABx/mnJyG9/70TT2KZImZp+sYj4Jg+2ggaYgPEz69SvtWWkTE3NgtxoYD/q0PTo4gfQILPHZAHfylz7pi8Aq4Lfe240Ee0Xf84ZjA9RzP4WFDjYgiB/zl2N/Cgze1OOJ2REvoVWdh4sr1r3+0YsHNg4rUfQpIFMPHj3wBZ9V65OsdjSzJKXmklPDpsnPJ8UrIF4nCrQp6CC749Hvidc7iA2ZW6TB7emE+SJtAJ+xM8tqvPbay1lw10MkdWaPT/N7VZLmiz5Xn3UPWH0aeo9cHym/6605xkr9CPj+NQU5MQsmfFA4somKdFTpfrlSU2NgP/UnTPnF6fzwMdc9K95uML3up7ZdMf97VmZ+zs2j4mtT3LV4KvVLbMlE2L6PcuMo34BHQTf3cbguXPTg7FiF8P295zpPuvQj+ggb4Ttg0dTbmoM11y/9qROUutn5myLs2hsFU37bJgh07dPZeHjyS1/+4Cm+8MCns0FZr1CAnhKSiIYY8YdNDfA/1LIOzDolJveBaIVudFoyJx5L73Sxd9/zBbYQ2P6jK96TgbI907bC/AbjWPjpMDVyYnvzMpsuupvYHmzBjifRWtqjLvmDi149I8ckQdhXsotGxi7ubNgbll0WailIX/99aO3Gydu8aCXsvB/8oitJPROrDf1huZrtqKfhpIEcuujeW7tM+S4RF8WiaYiGcl32W8zOSYbyGkn0vETXpUQ+zasO9llPB7IiFOI7VdOWatCOjXF97Ior9zCFWftBjTuQ7EYy9+9vpbLcCkqW56aNXBPFqflgO7VEEPu0ktl8TARfAOa3GaFP9YWnmtLzdJFblOgmPX4xdgEvPWOM0QTzR98mB6lnTzVAA9gZxuYt9d8lUnuPJ5coEtCyYMOoIG21JlDAmVdvMZCHtPtd0L5RYTgZcx5DIghYFzEhbazEb+83pib/Q8x9aXgKKW6Z46dNyN64y46pcJaKpcfCYuPFNwPtYgvKVvzQY6N1To8DK4YfdrJGMc58gdgScy/tvwceF94Be/C+Hcd/dUW86vQ1MC+eCLfAoM18Luty/pm06D4izNlnxyiWQe6x9spH1VwHtsBtPqjCXV/7jEosH9IrLjAprYdm+8ZeDk5ZDC20mqsd/c8eK91gFFSRDKzvq7bG+F8Rzu1wZH6Jj0D/ZBfCTU9dvyQ9/GJRuwJ+Xo0NU9YAXMBtQHpt29VEXelTTzW4TIX3rMZYtEwT8N7ssjwd2ZprSD/gn99EO33uRN/QP7uOej9b3/XvSxK6rNqnDrwmqUMN5uMkoEFJDP3T3AhC9npBx7Rdw75UYrAghwBzxpvyqE0/QUj9Vfr/vYg5r5mGNglb7/kHnemxzIr2lyOHHK2vJdiJjDG+bmLPdybKgV2B1pIc8o1H5ZehfFPyQ53GO4bsfEIY3lU7PJMGCbgAe4l46/1qGMl8A+35aMU2wfrt3flgo/5mu+qI/bvuqaZY/10ZJyB/4ivZyEf5uyw6V8MefX73DUO5Ov7cf3nsf3nCp6anvm0S9x2TgO95/tXjwzwlX1wl/m7TcDnY9ecySZPDm/f9FXP+zZjESjSnszE5T+Z87DLEftHq93UkMd4H9hMyO/EIR22FpsVcVrB+IDXi7GNbsCpibm/+TfnB7sCrQWeaDeVgw/A56YWtWXuOuaIV1k+L41QO6mJk+5b0Njt1LBtXofK7HOk8A6LxJxjDb3WeDip1RPGix/XZCX71of8+fKVfmnLKUWf3tGsQQXy2eze7ydra3qcRKZ2NoPvICCXqwDCwvVDUoDMr8BbA/HrQHLTn4848ynvdJkNU1yv+sb2/N6ILamAh+tCveqY2TA+OFkbi44qNf1azuEMfhDnoDUxK5RLBUh8sDgUuKd+3uCz1VR2QDZMvQmK08TxNmcUw29sO5lvN9gGLultyuyYnYe5Eqh/nSXeU3PXpY9nZvEKNOrJNPdq8LoVs++SKwb66jY2kJR4OKD1Dvh9iJ85amztSz1NlRM84X18yzFbSM8nwbLn0cZZ3i+dLEytUPTx8g4MJQtjmQO8euNB/4D8U+WWzc2ZOAVekq6Qkxy+4sGc7ek9hnQGMwc34/RokLkXHI9yxGtltTGwBsmZqV/JE+Pb6DgBff+d36jkgNNzFKflc8agESfz++d9tpGjqas8zdTsnTv2gYSmT4Uszj0StUskc00N1ulGxPZWDzCebDs0ndydwFM2Yt41X9uMdPKRBLJ/cRRoTowjGUNu5GemXBwCO0fTmoQ6qi22yc2errk7xcmFudMbQ6BhX793AW3azw/wwJ4cfe9kNSuLAg84lbIicBvwPvA3IX7/emVWTW93DLULaB8uHXU4F+0C8wcY77Y5OQ/rZHm3vEATt2LwxFtCHR5gjpam4GFWtA4TiDTjwc0c/JUE9qEOIf870wZC3wau+2h6sr7WHGCulaZGHhmQxYVdZroVkPcgd2+fVRQfJOU31rd2HZBEWXbFe3P2cimafntJwdcA+5pxy3nRCtHLQQW9qR0GvkWP2Oa76uv95WG/y4JXiWi8zEWV0A2M58VVg1nPLL00376dxxhlAKoniE3RXzZ85MeMwWeBH5L9DTynTs5B9jzr9nlmmQfc+kwNt3Fp6muGwOCv/eUCwxwTw+MhUXtMwofboMYuNZ5Zp6zE9hdiq5+kaK5sRKO0/Xtleo/b7QDeSWfWvIBv9KT9+aB2+8j6xgXfVibO0gFzFbUjeemSl9d7ntZ2TkR2r/dkjzm4RngPZp8j74B3rXbX7LlgodZHW9s0ulyJUI/K1k9ggw/pbLvE8t6AlR4qxPq3XkV0cKphSlgO879fPs7h392lfRPGFi/iKmHbn8b+9zAHHc8RfzZsvjVufFKuxnnAMSnUD0aTn33NA3y+n1szzFVy4NHlXg/srla+mHcuw0mac0gJijeq8x91sLzmhp102Dk6ekyDDQy8lLU1fUN8WcBnbyf7n6WYnnIX/hLkR0bjDrgiaLjfY7N/lM/foMun3NzBY8rJXJ9n8Ap++8sLmO/c9BZ4vO61zaW1PZg7/GXvPesQfyuk7dxa1tyeIP8ue8aQS3t8AXbbCfAzksKsGSxXRjDOUb+p+rltosOTmVqXuy3KKYqSJ+QC2tvg1dJzYL1Y1KcwI5W1cSXFz1RgU28b8mTipmz7MHfJiO0fqpEcRBfzyrGvSS8nIbbAp7EADwIeEAP3g07tydqEeOLsYSeIF9wxtcmnuyral/a2R7f9/k9dNBSp6GClka44xTRxUFuxeZ90EmJfF4JDDHY4a4YpovvEPaPkAX4KNQLy3cCPiVOaexwFcz5XyAkYOIuUjszgWV4MYGM2Yc5JwJwtqKYSpj9jZf+e4czEYBcymjR8l6IO2wriwxdjO4JXscTg6XrfXknhF6ZXQbL3BWe9o/qDObdzJcDtbJj3jE+vOyNpDu+p2qsLG7ZTDXm4AgZTtp8A/3xLsfGSoV1MzRMGTJzsCRgE4GLn3SqHbcJELOt+Cc7wChpnnkgfewkME7OzX38DDrqt7fjFAPtc2D140vK3r5k5x8uYo/Ltat4B6Aho6uWR9487Di8rG7AHOqxz06NNlBtmedF5+K0l9hCo/alYfBW98WUP6zzojgs5SHje12cBK3wTU79ETEPdAYehOMV7PZ2RfmNd4J2cqTq5v3tnbzB/PbLnZTMsb1nvoQTyZFrgS8Isl3/NZTIwYF7Jc8aBDchJ0H8PU0vzpVHg2b5wvzwo/B7ELpfOvGlWFFbhFtf59udkH2wp2pADZ5JQxinwGRnlKVn5LALvrvbxjo1qbiIujisZaoSvqle2CuU3MLcF471/3SdKQKsb2nhqj/fgjwXE9i3f3VbwUfjoLJmpOWw4iiBTTxFYfGxcGW690/PdnGGvkpVd/4+pa1tuVVe2v8TFpOLHECMwNnIQuoDeALmCQWBiExvz9afluZx9atepvc5ccyc2dPcYQ+oeXQ3pArpI4pB8lY+r8Z+eAHtyzgKvdNYvbvMD/KQjAXr6nJdmfkcTDnn1VQ7fjwq0I9TbMIv0I2mboupRm7b+QIxXjnV3j8APzV7j585L3STlYBwrud673+7ewYEK0IoFf36wh1LLEOrzTbLJcI+LFLw0M3Jlt3L3UJlYn9xkN7YiND4W/JdYHoK8cWvQVXu7+YVcIJyRWAb2hDVgF/DcZz82YEPR27v6f7v8LlyoC2cxJVruy87uqkD9cmsd0hCfgKMDX2uWylrf6rz2ko1eUctbPX2vBrwBbNMStMve7S5JH3MVrO7A/zzesxU2O8dCtgDPfs34WAcONQghqG0c+Ivps2Mu1BV4BvJudqYlwFGVO25wyFNIAu8QyaTstEepfyD5uAK8iZRzdZPWP1FrCglvSBbINssBkx3LVdHfDmsOnAdqK8mI2N4lRzQVGvEF6hKbqNlhVoAOTJyxgGf7BbzkRIBHFw5/E8wWmNY3LviiaLJQWjt1wIe92+TPeyxr7KrO2yTsr/cbp+ZsqVMXwLw76eMttizrIKalYqMn2WjmRVu2wVPmNDY23geAHJXAlyTHomLTYnymeYe9DHIEO94M/Gk0PQKZTpZi0GZm+f7Hex2cpjq+Aob8kFzLYz52e4twOUhQaxbkKjnB924TJ7mBRskFJS3Uuwe31BcPxx9md4+jqB+1PcYAIyfDT+TCE+LqL8pWi/Gded2nsLBeAc8cgetvktDOOdQOqKsh8PrSzM2W1rwz85uJNtoi3uFunYu2gYonXRw0UdF2Xgk5jwVwVTveZNb6p3IbmjDPzmw/gp/1wsq4CuJrKYIH76au0N9zEk5T6TbuzsE31hIM2tXsqrsehNxhNp2BQy/GH0BEW/i7Y5TmIzUOhrRFiehRAnxqFJp0NBp/mYPe6P92InOzN7Vg6lqH6xNdVJBEZM70xwMDT4EcNXMzHAN2md4KiD3Q8BxEHmoTO4CYaDo5FB6PvleyX91qqOm1i3LMbAnaPCgW/PQfeJ2LUlt62FIr1QHeMOICBq9qhh6g0cPjoHFpyS0fRo2H+IeCBjqEsoH3uYK8KArHzOqY/rM4ZFR+1g7UAdHcUgsjiGuoBfpQ8+9XbER1G1ulY858gC9sfHkcMFUhRxnfWsDt3UL/N3u7xIcK6VuR47uyGsil+0P21mpvy21q2aMI4y4VI3AXtqqeMyaqA2zdGq/o1yxM3Qemd+iNRFB9c3wBbpRTdr8RGv+UVO6h7qM0xxmzGsaMtgNdRjp5LrSCZ9J4x9Z3atS8KbOzPJep2mgMOsKFGmeXwWT6z17cxuPw/vbL1q4FAlxQPdTZFjBfAnbegakRszsMNFivKI7IM0ZnlOV4K/R5hQFfId6uoo/7I1e7A2o2R7FGQo8NgfdtZoNrChn23/mGDJpPqGUHqOFx3XuIaj2nmqQQXwkNDcZojSFPkgWP1JFvif1x2VvNdQd6jRqV4apOCO9EA90wqIXKOUNsyUOZc1qL88KZfMWhRSEHId5PjNlvUusCUz2aPhOzy5UP/ik5rX8PgT1kvRcXmrDnBgWNF/j+Gets0EM+yE3s75w76Ga8MCvuiGhG4o5L6fBf+C6veaKEUuRVpreLjfcKtC1wOLto4wS4qU0Ab2mrNIv8B7bJgwjgYEy2NR/ThKN72c9bpv1T7ajfms03IWQIz/u5w/mo+UEavBB/u6veZL/WkAeHI7yHypnPlYMiiFmOHTssXYmYuF6IgyPAhibrdYjtUZqddMQhIgnUp7THG8SJmQN+q0R8YUFzwy0WhY0xp75buug1Rz8Xzrw75pwfuc8MPpGBnJh47hvaQi794h5zBs9WQhVNHMtWfDRcfS7zrbOzPx6C+vu6l1szg7F77lvgt7prtgmVV95Z972NX3yjYYKnNN9C7Z78Y8td0J7/eg0Mv/ucfkDHQ331yyOTA+ejTCzTy6N8o1+KTn3W7GodBz/k7vbGxDxkltzAs0mkpYzHcwS4VP4/HvVT2N8WXWKvFuOGbbrLMbB7iEvOlsJKRRxkwXOuxswagO6DP+1HdOysFV34qXL4ATRxn/07pwG6ViwqVDFlhCTRv3va1znbc4cx3T7oopeUrUfI9ms2fHjKzNs5euQc/0AsEbbxoQzyFduAxoyeM1lvzOzv68zuAvJb2Mr4BXE86CIDLns0XnYWNrORrx7Ou2KJnQLzBR1pVy567v1LtN+IQMVVX6/gPW9YpK29o7yKS1q2IN6Bvx3yrW2881WE9hDrSTUABwcejnu+3TvFDNzCOQ6KYPbnv7EDVE2z0P4qOxXx3r7trVHKMPZAq8YiNzxvvtLwDpXDjjK38f7NKGANz+EOdfDzKDqXh9hTIXoc2+5W6uKyd0HfGr5H8cp4AbzON/ZO57HP9bns8Azaq6wg7kC1LNxteqjTtwqiHzR4h4FTgx6/Euc6q3B9hjixQDc6hdvNxqfpGMyxCkfTz0tBs92kSFfwHgvQK398o+jnM8+1i60RA688lJviwnIdV2iMa47fmFvfj4jkoCclC0Fz88JhwB8J8GfqYsZPZlcSOfPWt8vFH3CwDmTQOYdojEDLpKQvXnXernvbeNhmydA9SH+fk0ALGqGpclaX5O/uBl+PwfjFrDmsBnyql+aNRcYbX++oMy4Z4sA1Vg6hzU3An5eOvmAa5zjvboWzvv7x3h74jtmPsIEqzpsCo9hPqXJA07mgy/dQi4xnLK+4jnZQ44Bz+FlnfIt4xCB3CcJfmCN9+Lwav0PQZeOV5hCnfXA5mrk9/tJEV3MO1QvA8OJ0tYHpHQqzEwg+pvH4LijpFPWbcuBYWd6WWdqCz/TDg6stTuufpLf/219v9jGcH9Rp9hUjTQnfFRsnox5/cWb/zY1ya1wVNuBpKzVoPQ905kPm6ots/Cbt1SHpOSsek9nV/VtwzEAfAxWSb/C+zkIHN+I0k/Hvr/r5QSOCy155yuW/PPpYVf1qhSP96rn9wcZPiWMkIPdS460/PM8o5ioHLoeQ5GYGgsec5vUj7btb6mzdkiLIuq1jemKSx1oAD0/g97nUGj9TeCa4iz/NnPCxx4xs5OuOvkwAz6WtBrNfLuVIZlHqEhe4lcEv4HwJ/3juadrbysOuPwLXeRS5tkuIhxJ0J+T1w2gJZTfFDmJWCpkdguZL5MWKuNj4NL3uv+Yke/fKPI6gBj49tMyexQPqVln/DdrJfjuY2UOuMrzh9yr0YjrEgCuaZ87sJJSUePBvnE2oRGNAsvVX8XhfAc/yaiTjGvINanf2V6OQDk0PA8TCr2jTlTlX3zkkV70EvWRfdmbHqPH9pqDhFnO2oh7lJr3XdnOWTvOrzB6rLh4p1cZzE3iGF/OAfB433IXcbevQm17nUeYMpdwQnXVnOxvwpJxpqgEnk1579YZ7uFNt6UL+iW+v7D0vy7WXoeTGGNqTQdsE6BNrm1VqecAhxrwe4uDYebfMjW0F+oEOfz4VFrXMuSAfys661eb+NW8iCgwoZfoOWuNR2M1G2TI4hhAvLfuHbVazAs6wT3M01D2CuGrupYD3MRCoK2YfJtmUQ0yBa+45il97sn5r92wngIFQjyaoPMV+gbrYxqvaiVMSgHbM1i5rk1uCtrdjr3+MF5Bk86ru13OWIwG4VfJ+bkxfrOpjCVzfAi76ZbxIyq6w6v6lK6c06ciEP9dfSYQhr/QbteYNC8ay2vgdQ2Q4Inljw3jjLhG15iXLZUMWzJPBfyv4OAF//SEdurFezxLB8+Voh3Xzewhti2fT//czf/5zCXoEvjtwaNSl1hr0VeIQ1/+VvdnqPV3Zol2RgwZm2ngGwvuCmrQxfizaIZzPgPUbwJHVgUnO+8b4Fh/2TmJBvZzLcPXi8yuDozg3e1++LXjYwItjM5vTg+4rqWN0zDQBf2pAL38Rhh34mQ0XUOfCeklayZWlz4xJTEQKcWO87WPAGPV2HMYfFRjf3JH8PUMH7WSL32oWa9HGPg7SmevvFTe+RdzPuJZDfZo2bPF9cyYE2EVYHm+OOV7oxvSffd+Aa4O2XUcQ0w/4Hawexi+h5VjyMaks/rcHnMMnq1jiVKx7lBE5Qc1fgR7dqo3K/3kzp6ZnaSP1dlVoH+8dO+JCDzxb39XG/6paPCd208vOcPv3+0F4JbMbC1vvFzUAr3PH15mDW3V358DUb5mPp8TBBWiOC1vSW6UlBVKUAWYkCaDHYRM4oC3do44PUFfveGj6zOCwJS/S8ixAmNuxI2/AK6fn7x6akxiIo4bXfcrV3Vtze8zPHnBc69gVtwxiunbuwMvHUwr1nvb8t7DwmHSorB3z7jv7GFiu8bg2Z7SgRe3CTPME67bOplZonPAlMFrxkw4YahL5T6dMHTwPlDG1woF3odwnB6QiMz8GXDJg1PRX65UKvVwYTAzRGX5bmmg57WzScM3jrJ8x6F6naIsHHzBwCA3anAQkiu/ws5tj5P/Nm5eWtcqYnrKw2e+X+rJ3TF0gwINHwHi5pC2H9x1/4QjqutnJOcC30/EN9GLEWr5K3GbEZv+Uru+0v3qVyZOI3c3MmOntBX748o4YOfMwaJ2fxB6/6GkqzPxqHaSP2uy2GQg+agY5As8vMN5N9oW4+p4MxQ0/plSaHUiO3pi5e6LlVSLVEMDzytk+IEaa2o2/amd+4fIl69ag8s/wDtZd6X48ZCRP1YJIDVgHtW4sNxxDpXmUCFlHmtz2DuRsKLfGtyLbcL/sgnsJOZ6E+Cfrxj3E1sbseAItc4XX80uCv/3mnNH4F3RDBpx3B/h/IJATEjCZdsDH3cQF/fhGu9RjEOllhx7Kmo3PdZpsyFAK8lAt+QSsv+0cXmQL35Ke2yKYEDxjcy9yyOzkdT4fYesKNXuypdts6/7dcNWwsONVBbVOiPWd94mdWPgG2JceO77JTpMD3HViTn2pxPtzXg+01Inb8Q/u5erYYUzz7q6CuUjMbrpev/zZrrXAZ8ymz72jSWbH98qa5syBHI/GE1uQxTu+gCb7hc+wgNZ6ExttzopO+4XsVc/LY6vMDjk3FSo6hGvjr3M6tt8343ENecA4jV9aj9YcdODAAX94Ad/lUVDfImJ9IeLdkYJZxSKno7Bc6vAJ6s+jND5dPWqA+5/KDbrKrgEeFu+BM27gZ/9mVmL0IGB8zKqea2r/eeo6DDU5cHfj2VmaHn7QwHpnnR9ywFHd4qXuEPDA5IItbyM3flFuJK262hUd8ORcSkU5xNp43zsWVHYvAJ0POY576shSBtaNRPr1uywFucYRcpIOvxWUXypb2UemW+4goSx4Z914gZy6KTM6ZjefpTmrG7jHxHRT4v3CeutRAX87DjIouX+SkelzJDtKtzaxm5x08+vMoSVW7VUhWYoO/0Jd2UAcxGmvSYmavnzunzGxzVagAcPEeMpzdFUimKHWPeAdNvBMFtGpHxyMPqc4q+2tRUVTAsfltdstxJr+dgcXvWd6uCR3n7tVOrMfvljwVuY+NW6bKSgiPugHYeic6bEA/W8V+t9+FMGU2anrAp8KDyj28D8tX3CtU7PrGTDTwk7y4gA9C5V77A3fic3dopdotKfW1U6Z8ZDTZv/5Z8Zic7ZgtMIZsDtJhmYy54RFN/8vr83MePR9J7ohZp635v6Dwe8qg+nFseHvzhcqNDP9cCxYLeniB4TFPmczSbjBM8BRt0lphK/Ghwee4QL1yJedNxifGXMuAVlhNi8/kr4Zec9uh/xseBWRwF2US/782WQ0TnJDyjKwLrXl6VKoDejK+zEnzfOuOapts7em0EqocAs4pg414DB8/l6wqdjb9XJA/haLeMuMd61r9nQFVhk2t4KpNh30q6+S1+J+N1oma/UGNP+Go25Jcn6mptY52znjxj9ipARqB2dXiC0FvC+xqevvGOi+ikrIe6RZOENWzy5w9plFMgWRahPuH8QGBa+zZUADYMTrH9pvF2y29HA9mXtYGb67pg8Wai0gdOph5GNsj5CD/EeIGTQiaaHWjImFRh6uJcQD1CD+tbPel+e+Nn1egDtcDJb+971O9dMXX/5UwX3ZW2O6d8eAbQBTXf/NeK+Vg3b2j4mw0N5U7XZFW+ONHBNKGzOt3Eg2XjjUXNC1kwjZxfjoVL3Xmx3UInzy+Vf/fLF31t0hQr+qBT5iK5T2UK8zqF2W8TKIV0JzO0H6E29kdPxcezhQhxLUZuKibdbKPWXsJoEXgC57lIxAzaoXUFNdZXwNKO73y2sX0tSq0NwdfDjmvA3eJOh3nRSP9aoWa8Ak0EpM7eEZfULNa4juVpC7LdUfl72rWvn00MXJEY1CLvGIw9UDsAmXurgbTbl/4vL/PJ3g757rKG55S2YivHZnzUYPpmTxB0bxCUfNGfBCVjq1sTOBxuVGLzt8KbyKEqgXE0+CeCdCZPZz5wS4/XPOADg6vGsGOfGaJ4J6BG9riK+UfRuPzitm2ztwl3PRdXbC1vjYvzvMseG5PXeVz1iPaZpvF9pNE9TtBPSNSxd/AS1py/YD6gmOaYsls1LjBZLvHuuflyb67+wuPfYxJ0wDl4mL0g3uR2YHaYeKhDb9zm48KUbNASuo4ay52Wir95WVPBJhn6BGHaQNWogh99jFUoR3l1hzyXMVZp/T65ztjQr5WxifuZ5wfLquUjYbrjuXbjJXn9fVQaATaICzCgimzPgIx1/MBhy11ECF59QuzzLgJoLXs/EoFqHsBXDpsm/yMtD3ndW99PJVDenqqAlKNjEuGUY7179ATfVTGizcHn/rjZxEkDgc4Y05H4WaGlLd6GMYx2bnXyriEwFNy3K8S2jwyBbjRc8fNY+vXBezCtmrzn8C7uNskAfeqrfMkacji3ueS9DenncIJg9b98uxlWUdSadyilttrW7EYKnZE0qRxXRjRguvpWU7gEjesbON7w+jPb5RNEIcTa95IsiNZs86TCXUcNIyG7SFU1vz3uxbVc+Yt80uEqMztwT4u1ywlqd3z+yUgIdqA10z//8M7+2nAuSlGoEORDG21knp+mFN5atXxKpCda0DkPFivGHbYEuDFcRYFhHgEWRKHYVY3lmk/bhzwAvgsT2PfMpaf1YC3kkHv9Pu7mkPHMP0/IfXuRTrBfhDgjX5LDl69YsSqF13GRiPN30hznQTuTzt3HqhVJnvesiEPQFrdmuIvPpzuptuyidWdWcLPv9MQ30VqHblIC9JuA4z63wTLN4kAd6afSdkE/95cO1svQCkx1zEluGdwMtOtEWfoLdzKSCmesBj6utjIL0j5ytsbY3n611ZZg+ntxzCER875BFbF+b5Q12yFOPJMUCm397suXh5zoSUQUwJ9SjMnBPwu9pBd05BKefKTSxOQDlvIc4bs7PyEOKD7M8z1NUv4OozRng8oOaWReNb6vqATepg9Gidby9p/3fu/sJl4wcaYw2YivQu7YBrAPOSuSSVhd3auoNOZWYf7g+2pn3SeW9Mxwnpp31KyRvk78AsDDHzPVem10dg0EYf3iGPNWjjLIkU4mx89cFeVOufnmdynRxNL8MBYiSz0EKDZDkOymWCrQ7Bekc/118QD2lyWnc8iFNmxQ18HgL5djZzAClP74DPA2fYP4ZYkJ5Ein3fcfjnHZHWUWd8v6GGdpfD51Qk2YQk5E9hB/cqUJQgNleml9a52sD7tiRKH6Y2Usvou61XO8012fgZCYF7utzNevLz9NLoZJR0ZKAt/7sLSLvx/NyNuUFm25qlum+LtxCHZkd8B88d/iRxRz8DHUCj2qXuuJh+KdPrlRht6Bb3A+hRqIkoZdo1eHmIvpfa5hvJSXPkr96Dq4OjxM445lCfLqTFv8BjihpilW3Yo4r4qbbPs0CmYkssnfiE3QYw+2Op6LO/1OzqaAoauLRfmXmYiwz0RUIMEMpPyYZDXSQvjt0y4Dlq2Joelx+84JSHW4hDBHmcXNKFIKrHrnLUloWefQybFhjJpaR8VxusWvwc+MWsFjxRO/4U7GzmBwbgnxfQdQKHDeTc9Jq72VQ2ZGq3hriDZ5TLpXbUjkaBZVwWJAAU1PYrcf1P4L133JOxapsEtLM5W7qxEHSpOb/Z+C22Yqg3s4cHbdfmvK31ORm289Gwzf+03lGPhwQq83Ewd8O6pChwzZ7AzNLnZ48vxwygzJwpmD6iQ2kV7sH4nAMnL63J7Cky3vwm3/ZHHcxUx0jSjxXw6YJsfG/nrF9+Kc/zQNkFMxt8zEL8ZvbsAVdzCNc/xFJnHDLb3M8Ah1hUiFAVjrrc6JA+ZzCgsnR3mwXBHTQvZQJN8O/L6nMNPBiegrlP75q/WRjzz+Y2NQkkrdnarQK9YrrwZPc9Z93VVoCllRNnVCfz0fhMWc/5leTA8S3VBr9RZ3YGcdHdOVQe4OF3TFVcOfKXuePPYaNfz/AH9HrCow/TxyZL0E2JaBru2LtEj/daTFPNx5sUOq2Fdkgw/chc5cBvDgQFlsEb0qG5QtLsQfOK3n5kQX1PPtfn1PHiaqOhHpLX+WHM25hSpHFtdsmGI6igMedmHmTBiD3vfccCdLmrmOUxFyGIr5hGHejqeVKWBvKgCrO7Js2NDqtXqrdW2FWBXL5XZUt8xsjrfB4T4O/0tP59cezC5UVtY4+GZo9p/TwrM56PlcW/QI0kmK1PJbBWbMO7sMY9t9FNBbYk2dQnG2T6G4Eke3ntaq54k6iueZ33RknbmP5jeCZQlxzvgR/vF+oCP4zqxzGSp8T2jbdbj8W36WFqMTBJJczeY25nAbvIkEgSxW+EJisM8Yfhf1Nb4+E44Ay+d8Sjvz6HB9d+AnnOD+J+SzT2ypz/FE7hZp05M7ah7sc46WbnsIE3+7l24fk6wPufu005Cu5FZ0vgt7dSvN9YN/bAv4G/8hk4xAMH+KFy/OK9keDB7biJe3z6d/YL1VnXvTL7WcvCVr0Y5A4w8pq5fkY33U228SUZpI1zLJiwS9D5JWXwGYMpAD5WMKteVEuKslub86vAnP+87h0o27p444vUSi/l8rGCGIY61M2sn8siV57xJyedd62d2czwpTUzZwqTlKApiv68SkyfPCP4wNa8dLnZyfo8VzW7YRO7AR0m//rMiVuYyY6kcpCLQVNmeeHt7e875/HzzIxxeSAbtZFDclPuOGb/nYObuQvA5LFkk9mpCt8VD3U3lmk3m73KP2YnGeTkI3Ve/djTQB2vJb30k86+Z3Yyl7bZt9HopI+Z6ctJIjIVoJcBo1fVUDyAJ28xjW3AqX0WFU7qjL/H4eNOkDYa/Tfr7Tt1NQEt3IMmOZjdfS/OJo0nZcuMD38pQ5mVbrw7Qq6J0E4gFy/AbeIjgn8vRrNb5CLCNUtCJeqee0KPuyT6cGU+2s9dgK5xsoyN4x8BbpAdO7ND3ntxmxvoqd2xS251hGdpaS/rcZu6cUnt5A7fxZzPlcBJeUK1Y5xOdm5s+oix4ZGHDWAHH89Vzk97Jy6Om+8bFcT0Xa5K1D0Au1sS/nliQFyv7gchC9a9L8z0TkScqj5+O/YN52I8C8QL+F1vwDVPWbR94nJifDcGv6MDcOnOM7OXlIvJ7BkVVUiKip8vcviYIXYvJFevXhGoQva12sTnOkS5AIxVHP8QjQ4ibCCm8SXtprO0/YaJd/so7ABiBeIoWFWRihVrTjwYT6mrVzK0HoQ2Ng75VHBCjKcJDVM3WeQLl7PUmnbAjYmg2MXDyI8hupROs4Oa2qpN7HBnROUGw79v0uyJEd/w82afc8RpB7+4Dexq4L/wWUsajLvnrhits5KTskQqUB1/nVXusgdwvR6KrzVHwLR09ZjCEjXXf3fOqVtooBNsSmg/b8y8oOR+llB2VxpDbZk2gAnOk5dq/MMEFEYxZpWrKXNGVn5OOQUMf3FRyMFEWk2scshfinIaIrNfIiWOAmY/PYpWipLqTHL+yMT1tnPMs0weRbdaVeaOUCd30IE+cMM4c+zPo/EvbbuLiPRisNGcV73Oo4yOB25wM6bLlZh5pbeL3Kiv591MZHJB/kBtv2aWmW1vNomNzc65be2SkZj86cw5gDybfd9iGE+CoouMugvU60fqNj+Hz/UfVgJvDLHptdfn5emxYBv/NVyqFngUcIG9g0e2qQG7/LEa0JU9+8fwjub8loXAJU3Pix37NADU6mxWLma+xL8luboRoWT2uX7x3uJ5bpU3mHXoV8DvrTsppTN9ZQFxspBr0C4r4B8WDY2fqpmN8g/HDQ4zWjtHRPYU8aEKoH71tukpuyYdcpk1eQmTtHTmLzPz+bpPyQC39i7zIBe6rEf7VKfOfklcDjo9cbwJB+uefL7fqda/OJvMWzQzW07WSl2B5qs5pxx4OO2awPQO0Y08g8ovE4skRa4PwNJfMb8DjYck0gVxMWbB9Qb8EmrF/JOanYcRt7HLXOOnqnTn1Ut8fvbgcdNyLUveYdB15KHESBJrtbDwfUUCPGIdMzXEv3xQ+sC8F58XR8abQ0CSnUsk8LqleEzAXZCgG95C3fDFJjU3RqBjmsj4oZgeB2w3l8IN7kwYHXn14F3fn3pCTDbEsAvctwd9cOJm1kSsX/dEs9nzLfMG6pn+2dnAernRZ+sv3ukN1/pQD40HOj+AeAqOkTkTNt5i8E44MTvSHNCS95KnD9Ex4+yFIE6uZSR7+I9UFFkcyZfHXZ7kqdkBk4vP6YsvJKu4fzkAh1BhgzK3AQ1NzsXgQx32Lmqj9HEgnVwIJhTYftt0oOd6M2srUJyJcGoTMZmZCZkxiM3Nh8dQ7P7VQ6TbgqMhc0leC76CJwcaYN1CdPzrY4Z8LYfUhfy5CO3/VkzO3NUta5vpwPWzz+S/nE0wJUFK0Sblo1AuviWO6T1oXvkVVM5/vR8U73bOGANGCpKt3QT+Ribm6MjWNOtGkRk/LrdxjXcOdWPAWHjmLqgV7r/xTmEspnuhQSeBRt3Bn9Zu9wDc1HUwvjhbJzLAcFu2GZsF1Pg738TFQbxb1DLeq8o3z4Mb/99huwCar5KIT8+cBFyhi/FgVguz65vsUApo9Wvm4KCGlomTXmorNrvpXnxjVnbMSfux4KWZoUyBPIZw7Hh21HilulhmXYyzfsJK3IF/jSdp7vQQ+aH2x+3ZIyq8lA6q3VvoKxXxivZmxmdr9tlviKnJA371i46lNZr9db08QW7wj4dAzSnp8TkT8Zdks407YHGuvskAt1XHf0VgPNS2S/ZYO/hzeuaf8QKkPVuArT19VlW/vR/os18qYYv/mv9yWEA67GqM9feFuHKX5PBEHP15RE0mGeC9dXYS/eGCnrzWCF94tL3hCEE2v9sMMg5qRCdBNxWPdzs157uGH+qPhTuWzbppVyzyNZPVC4EyM2XDwhQ++7vxoHNYN1+UDXo0J1+8H0XZrx3ZrW5/WNl7COoTUhp4Ecibf7t47qvabXDZjZuMeYA/oEOENnvuXjMIE+SbA585FCG2jrTRovMW2k+W6f+jrR6S0DDZrbVfkCOCuKsZv4NG/ZKBvauE6QWUqyyYzQ4d4NneVHUYVUNTPH3PqH87/q9PrwRNtdQt1J5w5MXwYbiL8Yrai762SRfvWE5y3gJuC5mWwCu4NWVPLe+MZ7WolRCS1eHqplpzxvY6F1ofCOc+j4wqjV++Pabf7qvqxxXk0Gdm+vQEio5CoqKTadbyvXQ4K1zEjQdGChwksey3nYkLyLMkJzEbVJIsKODm7G3wgV/6BPLQ+s+zYTTzti+dkroK+ALkt9PZgNGc9tpKzC7EXtuFhWzRxUlhrR+cTVllfr6AEmqrLeiWH553Dqgkr45Ap5g9CRuJ1GP6TMwcHNdzYgEYdMUrv7rEkWUykBmw9kT49mHuTP7tkuI7KVQJ1Qn/x9c9cy9x7INHaq1voBdv3NK7bEDAk1UMWnwwd2u11jfSrxcVxRDPNnDXj9cuCVtp/6Ds7SXJ1oMQ6i6H7pYM8ekgILYd+7Q3njmmp8MZ0wSwgrcMNAMXUhS3BGpf6axZna0X6vrmhG6UbfMpQoSOG7Wjhpey+O/upgKtaLxoQG9go5dZPgbKahDgmKNa9SVCCfrRMru43446FmlPHB5MY73Uc+lMrrJmq1hiJnsb+GXi0nDC5r4WB/flwJoFav1f33ISEidx7FL1kMkBMDOneRQZ8A0ENchpZm7uFEPCUnM+wNFl5+KJowZxLQtpx3lpnS0ZdvfXuWS1aVLeoRx3yuWaXBKHyP/hF3Dqfm0dwzhlYtJlr8PM0cCF4vQYft+Fxm3REk0HJJJlCxg8xjWS/3oEh86tOeRFi+LDBv1yR5vziEsm1nGi/Vaa3RD5386FH0H91nAv4BFQZCcJavEfh4zkvdLdg7n6ATVteZ6VAKYmubwDx1sIaraCpg9KYwpatoMaCLk1Tqyf2mOkUeHoE3XQJmF/Owq7Q8B77sr+v7tUqEGFzXKeZRa/cOa1NAq8iiK/chvgXzihwfrN7H4GTu1KZ/aLXvugU0+i9e9HMxOD1E/B45vxFVPhBHE5/nkS1mw94P4OMRXcnudH/bSvORqhThmNoyvAZMW/zQzkY7/wNz5AjeFQMXoOemi9qag295TnpLfpMZCaoSYkrboeKSeV3SQJfc1xXO81V6kUW7c2fcoR4GvLjc/TuY5QAHWJH4Ipqix1hppJdjYCPiilmc0vzfkOkzHjUIfEepsNwNFBV6mosJMQ+2WgrjTwrplQr/4Ne2dzT6HCLkPZ7pxJ0IDvyMIT0Ioo6yDXuhFlDuRDB9+XxYjnOuMBhmcWH8oQmLi1ZrJLbRbou9mpXZk+i2FsM+67JFRREvzdmxfGi8h4gicc4pN5S9Gt3xjFnfGiPXy+345Ds2WgqY4h6BHQFmzDR0ZTh0H9SXr+WQMvNt5D7B8PPqed0S1zph7rtIyam/E2e8UhcBP32JGUbRqcgR4GvuYprtNaS68O1xDT+m5286SPd/M5Sqjdv5J9uxklB27FvbnbFYN/Mb3SJEegB7gFeAzcGLHMYGBHXvNfMe51RofUKcQUHUNvX/J4Q/vufoy2K+By/+78WsPRYjdD5FqH6qtixOzyjKsBtGHogZ7lB3MuZrw3MYvzGvgzYB3wIiIz5+XPNpFjYAOf56i0JtN/Faddk5UMSUL9Jm3Nuf5IlNZR4TZZ0t0fhwjnQqQzOa1XdUjejK/i3kFJaX3/81xyeEHbxuz5+AWN1cH3eu2jn2tXbgFvZrVpaGGTXT3wsrRVlvTzXdraSZA6Gz/IZCM7KjDUX9mWFJnvYWVBkydOcq+DGLJUj8rswAyag/jny9TwQeqU/81WbNSAP1OWPudCKYMqZnw1bHkXHIWArXkVkdMR8LRks640aJbQfnreFRpycMG//DmPzO0qNzvXAbFCM+PyccddDfUU6uXmz+/rv54qtgLtek/Z9wxYtAjDK83Zcg460py6tNqulhgxi+xrqn7MPg/CSAy5zoDXLtgBEQQ1KV2gwjneHoc6KSNywTY3vm8v/WV8hFcSYu0YNLJi9uoYKp2FUPdFfMPdHB6ztUeX7ra37Fy2Mk/E2GXAIXguC9JCrUegVa33GWox8MxvRwb6Wj09rHiYsPP9wPErDttKeBHwvkLRbklo49QbEgP3n0pK3qrPdVf1+A3KzTYd4PMH6zvo95FDdpp7G9OjCTr+s+5GmuVNnvXrqbL4WYAiYGzdcbOfgaIXn+eMjSsZ4aU0/m5Umrg3c3WG63lEoIEK5O4sz007G+oI6DumH8TClGs8E7HeKHNOe5oy0BjiaPZS5B9LJRLQv3q/s+OSWuTVe0ALTlhhzkCgpuIWQRARQjrNBfpejjwOE8qs0gE8duZD0jbjHqIjcdY/GUJj3X1fDsEssSbPc+Sye/aTNhQZvwAvOG74pQr/9rVpxjnUldnwclst36sjaLe69zrlwGfQ/oUjHQqkoa74Ds6JOHZXF3Mcg77Ndg7fZMF6VEscVj3EIFXwefhK0NilvOmKhT97h14c4NgmSxYki9qY/VkKYgD19Qk0M1Mj4CyBh7xKLfx5oE23t/56KHKIuwFwZFNw/Sht9AN1Enh53GSu7/O2CRgD/dOT2Jypv7homo+EQl1QDKPMUtfd4uuE4ahcEjvZ4FkBL5UWPgFH81ibzOWiCi5AZy8a12K24R0nOBpBTxCjI43/vM0pewCDi0HjXNPlNdc2XStHbw7ZuwU4HKac/5QaxEBHsiyEqA4RcCMlCtt3C6ZjYk2PgpFGUm18YIjqmtb4wGQBJoUTPLjpdbPri/FFKo0nBDAx6vzNtW1BvWvVcTNDb2eIz7xbGw+gvBCpB1rU7KYXePC/QCPlwOvsSpMbeayNPv5Urr8DnhAABmUJNX7J61U1fJj5d6P1iLQl5Ez64humj6TMeDzT1rcowm7VjVE2NNekB31rdiRwaZWAY0/P0Ki4wSeLmItEatdz7cSe4Doig8TcJjT7XG+pNf//2Q4buN7rfXFqakwumzLip4qPJAWNSwd/qaJ4V9koVHlzYUxG8D3sY8jNVpWMuX4IMcBLsbofc+XQjT4krn8Bvgb6KDX+zq3sV44UCLQuf/VUfJVDvK+Nb8Fj2ps9qWXOHvC7JP683iAuLcx1iB3CAXtCReVPtqB458oHbqXhVbuslwl8P51wdIUaEpaWtRwC/GX+HFvvNsmT1zPEUHNc3Hl+GcXXpFVZSWVRLcDRLB3zALVsGPMEuFLaQw7r5nkvDs+QM8eeCy1XwMdNf98dNMxU9XNPBD4dQo5wuC5S0IWUv/xgp03ppm5hQebq8bfqmjuxrq7xtWNC+qATB8LmsEbxijvAm3P+qEP5Y/yyj90aY7splTtK4LDAbRoXVHwAvAA+T3qpdeEc8ufO3BfvRZUzobpVb0eGb1Uby4KSBbgTo2z2ACt2Sa9uWQA5wfiWL9sL5Xybbcw8KweOJovj57rfP97dxOwr6+ersqSZCQE9O/EyV9eMxq/3dSl64Kg8plKrtl54jtkMcdGAordBY3zPB6pZYTdfFDXJgYLmOb0vCdQy1hFf8DFK+3GoTu+PY18A9zfvdW1Ub66G+FILeHcb/6W/5syNQXOiVNH66d/IouLZj53lnU1sqFBOcwJdCrV/EirkmnWySJ3J7Lq8EcfesLzpMq7cyml8miPgWvEe/tszvdMSuDjR6HXORjA7WxBtTclr45eCazOTx5s95mRvcKPoDYfjHuT6nriQ13ocK2GTupP0EAYzQfiesKnlvbnLNrd+vgZMukvGbol1t0Grve7aSGUVKxZeLyX8rFTzvUIy3C/6Ubc8zjb4EwfeZ5b7gHl+XnJOUxs4XRA3kCtN0q0s4JPpIbAT+J4FxEh+NPcJPQeNqLJ0UPfytPZfz9D0Gz5nVLvnzHZrztq4iGPej2Wqt1bleHK/oLZ0v+E5jSfS4lJ03/bOMrsfUoe68Szy7cJstJV5sMrMTJbmQcGAT7vG/7d53QUwzDyc9favOUvKtA5Tt7ul2eSUbfPGnHHO2NyxMFjtbB1K0CDJxoybY7PjqFDB+w3naIKa9CaRNjkRVIBNxN5aMvcf5qwEA8b+3cMGY38ApFHLS38ZjIrNLq9r0vGAPO/fQY+h2JWD34Hu7w5cXksbvzE08jpsLhB7iwrjhufEVYz7oPseBzHGSecBi5xe9w4lYIU5L1lAE//b/aaVTZDW1GpAS2lgYR8rzIvbzhpBj6hV6QBvR2ZmrzE2zz7JR8DOGGHA3P1j0jKMiyRb/4rhvGBLfR43f35fLgBlI0Xzq0J5L/RodhD7oBW4yNMbjRqbtfpQ2HEIfP+ArVgKc49HkbnbmbJW96IF/sO4mT9fKUDrxJrHY4Am+KxvO2uNUja/+GFXdHwpabwHjZuauYKnTwVt3ugw/pLow8KRvBw2+DdbOMusCTQOkfBsz0fQsLVDTpLGgHdklw5yT2w5gpaN8fLx4K4uzR5TiNtX31fBOn1gUC2UjSelDX6Mh8TcvQk0Zmb3aAf1vv0wOZGmgvhZVF8IKLw0VwcpnnOo1v6xdiC2vo6ntdmlbZe95wMvSKvhDDh0fZ1VHqDutSRClCLg19T/wR2/Z4G6AW/6lPpjtTPbq41uC5vV3k6eOzMqTg7VacKE+31pxT8i118iuM87x+a1wY0Im70bM+RNmDrr1x1iCvyql90ackNzFUw/tYN6FsRYukgfc40ziBfQ/FZt9nyLSVJH47LTr3li4PqNI+nWyj7fVweK6REBp9WBk+TofBy2HoXP+3cuGmmd9ZpKQQpsjddMx5Cs/JKx5rOwEXDvwHghImV5MbfQjXXISzuIpIAHAn633PjnmgEH4TJWQjXmnIRQgs0MXdIZn8E/vxRZh3POocYlFpLVxje76gt4hhvAFxty0ysE/8mc9T4Va0p742nOzR08vA9yAeyIyr4hwAcKxeLhCHWuCnUuUXcRQkIcxkDs49dM1h54jfFtKjBHm7RDOO3VhTD0w7nypM3nkjZJ2ptduHyo+uBRDvA+LQyMzu8zbc7Pjcc+cIC2NrNIq8QyPaYYkubp98aB27087u5y83E7dnYH9XBMhmaXWJ4tNv6VAv6mQ7CSvTQ95l8FG3+BC/SFuZ9EfsC0/KwYvKeAj0cd22U3WUnemF0Bj2KJV1BHeuKkbuL+9ZmvKoTMvXUHfOzZU7S31sZ7yZXwt0CH/ptHN3fVXG7qrrhAHoD2Ch6kw4BjdnoIR4u7Yyc08BrzXPLmC2LdpRptD8Dhdsvfftg0o6lb8u7/zemvU7VIP7NNzo1l0Y8Osb5NrAvQfX29AQ6kG0iSmB/YO/BivE3ZmtHAuwCHpgRqCXCETlGcZ8PYHgPvdWa+Yzq47UA3ZlHjyly5x+Db2T3WCxbE7AF+eqIR0Bagy7+OLaEcchbwcCTw3gnzYmnxIOvJCbR/Cvnt7N3xSjd8Mj5XwFElpuq/unEFXSbNOVSeDo131B8OtX3Q8mgoeuBWLfKK3rOl8f5tt3Zl9j3x80NG/tMrADjiU0tJIYH76ZlGCt4JjjH/ntOezVnfzKDMXjHv8E4a34dryuM3zMhX3aKUuh+PivNNiZA5FyVpq3aiS26lg5cDPC/gDERa60gy4MWBNr6HKWFsAR16KR2PCzZC7MdxKeIZ/89L5yAGmVW9+gRdsmLGs3eDkRBjaHadmP7vve3fVF4Y36TzUXi3Oo9n099reo/h+5g5/UvK7ECEXgK1EGpV83MMTQ8ScMlgYsnmD5cfeKmdzBmnxFE66ewfOeAQgPJCrBH0EVR5FiOo+1+8A+ylHBTQh6O49KjxlnPWGXbPDqiZFXDTbck6u+CFbTxOBeKgz+XhwPFLmwvpxqx0gCtHipcWnph1BhxePw6bwgbuhYsWY5xjWViri+xtm22SmzhdL3tbjzy436VNUrwkF8U8syf9jSIVHwLPr5ntqaBwWB+/7hDToo03DGGiHGX804EDjGcFdRAjlGZWnADWFNTsHbWsFbEbqP3Pf48wUpBvgMvIvxy7hrGNxseNLxK7uTP34y464LYdgSjdvnp72gP3Z9x7Dkb6kzh84i0qMxfhQ9C5NIJcYPiEneZaIm32loL6szxMAU+7d2+/JHdu7l4c/FZS/5y50pG6g2qhbfE5+fsF7+Ddvvq+TnsXcjJUGHS4SxHqzX4wPjTM8Gzy+e6q9nsFn6E9BI3G4YRUv2YMdCqzjL5AK5GPkQi8SDqTxZ11qOx0rroJ3gDUFWZTNny/tF6R8jNw5RF05/hjvA1ku3XrSG2TIXnAu8eyHy9793wT2n9UDKegSwKxaUbmyM+ad3Ni8w7+zFcW8ZnBOLO7DD6j4dMsaq4Vl68zohzenen9vsHf3R7E92Vnpxfgv6Ey3DfAG+BMh92Cz6SXHmbNoQ5Mf05jUajxMvTS/ZJeKvo9l1xFVbDeHfuti+1xLIPCo3xcCfTn6zimFt6bJVPAbVrK9WpvBbeEq5O596KdN2C2/il65sqIWYCdg0KN4D03dwYe4M3XziabY/cOXCH+5GK+lKfrSvTjAbTfbzaoNmPk5cX9Rc2erLBxOC0Wfrp68LsvVeChnUNcbo/7lI8nvoGss4NFtLjbW2wFHF2YnV9lt5oz5zkrOZfAQzgbx5TrgAJ/MN6B2Pp2lFj/z2MhRyFm+Jz26ECHLdQgzPaWfZGhtezdzj1uZFvp841b8xU73zfQlxnw+gNusX1goGV1HHI+UtWrWLlkTx3JgKPe6s7MYyUryuz+NYMA78R419+Bz50TeNIiT1ZKjxjqOy9ddOXW2RZ6FEmwviRt8sC6YUU37iTgimDax6AzKwuf5XPmhI9JRBKl/S2x6hto9xJ43Gs+5ZIF+MQ+32cWjOyQGS/HYpVE8S5ZCKp6ZvbhmXuGUdoN6NaxzcxcLGRj2gbu3uWYD2RPuD6Vm+8Fh/GoujGpeinL3tw74pUAjfjHN/JYGowqF0AiNzY74tMDYN3+cQXNbp8TwMDM4SfgqfyI9OOAkCRQ14ijHvK5i0j/Qr1uRAB1O5jNvdGkBOCPkyxVt95lw/mVy1+gQ3VhNVmC4i8WrkfAhR/lmD4ukhLb9GDyC/DgfxzblhTq7gLYldKQ99iOE2Z65131QywkCOc3mSdOuTQT4c28t5qSBPp1jj0Bl74n5o7A2d6ZmH0a6aGG52l6NCp2vhTZ++0gtqukL24p5GBibaFm2m+0t0FzjUVtNkduyDZt/ZSeph0G3UbCwsJ2s0/a4kad5sVtUtASAYnOljS7jAdldkT9Ao6DZmwAQ8kAeu8Nu+gAcZ4KYe4U8b7IY9BzWuwdry2MR1oXb/kmdhnlAfDnjoTNF+7YUg5kqK33+Y+LBu+LPK0Hs9MFLyqp7PFcW3cz/36H3zvsl+ZOqRKi1U5lvd92ZheOBbWsJ4lcSIwd4+PTLTyKKfC2MUFKmx21HEEtRrw/Rv7Le/aHW1ruFr5n3biqWrURUJVKDs8QoQR06KXozvNRwPMP0ZKF9aVyoT44Kq+Z8cZpWspil1qK4KABjrMOsnB0cWf/Js+ZY5keafyf99HVAz1wSjscAX5LwNCZaXKH+LoJ4NDKsQm2ZWN2hGWO1yT91GPX9xI33tduArg133Hwfft3H6pu6Wlyksf7QwnA0qW+ybb2svD9dZZyMdoKOGFk8rIETKotdudhvGMhRKMl//+ZRFC2Kq2RfzD7Zyp4b1BXIwoxJVEKOhd4IfURs+KvtEvvIlAP0IRu0qqX/8YiQtC6ujmlix+rofHlog88sKHmqoUvZodoCnF3djlDInG8c+HykjmaHSJlZsx14hQLaPBHIdZXPEiOc9IJFo9VMO0ZU79UsNe9ngO8ZU+G2MSZI3KjBfSWRN82Y9NdbNLV8fR+K9zxVtt8qQL1trfPF9B4lFjNWQmSHTVqCOJzFfCzzGVRctnXZk4gwCwFTs7zP74xUG56LscH7ca76GczWziy3uy5GSN4hmcWfN+Nl6jZQ4GtNfxc9O//AtRA/G9k4H0dQplmQXMxfnf7xf8iHVDETiKx4XsVJPNrZkS2gSOo3LChu8Bz+iKbDw8L9CjDqznn+AQt5teIrXgQc2w1xnftSnr+SADXjEYGbeMUrTrAE6d1iKxa6CZl+CezC/sYcE6G5nXXZqfZ+wUHgYc/32/Jkjy9ajBqfhLbd/ZObQtUXFTEp5JhqKd6yhj/PbJk4TkvkkUdKht0tXV9qGDmQqw83M8T1JKDctY7CnEgA/zKrxDqk0U38U/SsbvQ8cac8RjOKzoNPBpvKpsDT4ldHjYj0U0pFwQsWG2JM7mZs5pBl0MeAafp0GfK8a5knMnW3ydWdwOOnRaO93dvfogA33gHrJefDlSek9P7pbTxZ6WTS6Y1qmx9rh7rKBPA17jpZ3r2WdrmbODYeynuJXA6vsfdfDN3hzSXV8qQR5CcVSc1ifTL3+YBOo0WQ9zt7RHe9ZjJfrqA/guAm95q0TnAMS9VzqFGXO/AI7/4Jr2A3hFV2DC1SVwVpHMWxnN5mrYQ8Zq7/ERc0lds1gVU/gOtXzMjFy4w4B9ozsf1JgYSliEqamveJax5CI3jLILvwH3QpbgzHpC1sIcq6sz+zgB48teBrbznGTnXt4TNi3LiXoQcuPX2Dkz+k0fjH4/6NwPuvVVQM8w/H3NC6oGc4D3PfMOd/aJFGSQ2ccdPTtFchrPA4m72Ygw80pR1E+ihyT/QmALT+2SddkpLU+A7O8Jwwbq/vspz6cT7JMIX3KlrBTlCAvnDxdSYM6tjYJtdcukxVEwJG1fhNJjzLTFoB+JGpmaPMdIh8Pi9XORbTeWjZt49GQjU3nnieYOP2n/NZf/rG+/TFXyOAodNky3GX4NcM8g8les30GwPspAm7XicifVozrr3NvD8TerStltlG79PKBagWzh/TJoGEH+hHRWgiPHgi8waX2fLD4Mp6eDfkhPoa+PfJdarxA6g1mpRObbhyD/JUDuJBv2OuvtuaQ5H2jQUEVbnHL4vRtTlaR1pJ7HiHXHi5RiprETk8xjM56wLXmdfnxVHnXTQlYVn9wB1p+69O+3ru4JYBm4CuIK7o4A62Z8v6eP9hqPE4y5wvAU0bacOB3N33eI31aq72RFVDaM+Uv8thfwETEsNnr3qIenR4xjKogYOBhq9FW1ywyFqsxaRY+gNe2vuq8jPpKXO8D3h8/NTla1HwOdLPaB9Zct9BZQUNOyqEDNPNTz/xX8QAELAL+ASf33LhQxm0JHPucPbcUPokXnAp652wvFPbamWDWoFHOmNCVIm9vkB+nRJWl+aXayALXvjuZ9Z9k2g84WDXkgp2hmNW3Hgk4icS8id1z3RsSse3AEdDJqbOWjCTqwlNWoOh2mOeZFL8cQnrieolWfcdjNdYrPtK0t7+agGwpiW4W7pHsA1zR3sibbyV2wKF/AigaruvmpvstleDiHuj63eFMycWIwU5zHJ2vRW5OqNmrlCnpj9g7/Hrnv6B2Qb9Yat8ZcuiY1DDbVaXgvmgaadtAhGrOxvt9Bbjw6mf/ZvvtLMi6yOrPFx5IcsDyyz901p0NRRYNdsBs1HZNJ7DPjn1yHSB3hul8oazafdFcLrj3zcGV1lZgdlNHapDQTYslOmzcwj/iy79euOI02hptfObObEctqiE2fbG2UqKTm5lEJvUtMnxeNBWco/9mvgfus2i769Yy+3kOvLQXiIdtYCHP4EOi4BPiRS7psubqhZ6ulj/N8zXEmmtlk0xoUYi7Iff3jIjMfxQq3tg1rpTfWj2Z1BUmu9Kzr1wzjUkJwUpXi3QDu01fC9MmcPO+PvrBvgAMorsvVb6SqZCvVDQ/06gy0hf7/gGVHgxLrgwEU7yH+jJ0PvSoIZeJpusNkzEDaYd/b1wNRwpDpM+ufMKkrc7dP7JnNGyEd5YItchPHiDaVMgJ/vLPWqh4+0BRwUjQR86qij9qRt5JGbmUJ+EvT/iLq2LUV5LPxKBKRWe9koAVFiEXKA3AFhFSUBKbUUefrZqf6tuei1ZnqmVZKd7xD2ob+ofv2t3RJJTpYyh9/mdgdRBJ+gsa915LuwzqoFXS0K4sE5CDNYd2KSCjRHmW8/XNE/Xs9FeU+BScBzboGxpDqwSLn75x87D9ZJBbW1ged0nD7Bt+ybmBzrkT/tjKYW8JUzNYgIj8fIegTbPyhDqUv7IzMZWezsFBrkJ/q6Mw9qlJyZ8zE3tk+bs7IzCPayn/eVR84SYiwN0a0upqUZu+pg351Jc2080NTRtLP1zFaDMAMY7dAt3yrAHJPTz1sGvrigLvBfr173G0njCF+G9CDc/sm4cWh+OxEXAYZr23/9qlkKHh8PhE/7xjNWC37m4c5RXNyl/LD9pYZmi1kTp3eBNGChvh6efx6cz45ggC+fa/xbk8XFmaMp0Q5642HmcLd7O8r5+1goONvJhrLEkxF4GNCoJfp4tCZFsIciXxLZSpHnBvz6STA9qp3yjJLbfqk268jqdls3UDq3153DGTRcxE/cTcUk6yJ0bU/IagSN4n5c+Gje/8tNGEFrsHwATz7aGjANljyxPtLWAqxa3EWZY0ZhudBBi73Hgn2ET147konfHq38hAFvJ9hfn9Wiv2S9XtUxJsTwlQJsU8NuOea3W7rsniJCtk/JNesTuyeiCWecD/1s66i16N4z0FUHj1T/5uEoRwG+ce68/LIL5xD4SMfwPKqNnCePIR6kcFkxkX/15mQoweMBHvYSfGwV+gXoKJ/04WPvAl9iXKYFnZjRW/Ayds7cifDbO8fBzPCHS5zfHJgF9MdZ8FsoBozyLQnBi4g6B73iJbgcwktj520WoM56PAiPPPKTiiqGC1kkE/i9ife+x4tuIhEJlbteWL92K/fqQiwfBWiJSq5f96LgdXF1lNcV4WteDx+L5UzWJ3dm6AX+zqcI+y2cNfAt8ojJQTndCBiaa/vebzFlBdiQyhmYroNzXt5zETrVmFwBq+GZtZLSf90DEMDIHPhE6f78TIvdQk/lM0ddysAfpcDReqEP8JV2luKlZPjz4Okz9cwpH3b+AZ49Q3AqjNkzhPO99wG6COft521ocULJlkTUkFc+QKw8eq1h/UQvqrSnxt4Vpq69202eqp/9xl0f2La5A18XpejSxgR2ntbZ9srIPOW2p+5csuC74WvAd/ABReJrZu82iWl7eoEYfdUUU4jvqsXZ/WhzlPhE4RkBR2yto6B1mKR2Rh7zVJgXAW0L/C779WdVdJ/grd6Ec3Mal3ppeNsBD4M35l7ZPxD43Lcj+zuzLbWf+/IOSWaTE7bdkyw7T/Z+2kTiSzhkxZ15I4vgeoyB8U5EQFxTFirVhLbeSwQ17DG1ecZbnBFnPmiJ+4Z117yfsnIEfzOqsXSM14Y0e/EXkR3JR5rtwWul4R/wyM1CUOAw7++DPW2/HwI6BfDjFPTV82bza6OfXtDFj84Efe9j8JsexGvZiqRneApy7+9CY9CHnMSU/dbQQUzTexPTG48wPWLaNy7JYU9j2zGG/XAyPWS9fX+Bdo0IvrKFJGlvDrDeJ9t/Ncd6lJzbOcNLyvBb6qwuGfwBT5rxMNlAnEyvd23iZ22Szr4XEhKPogcdyJNZjf1Tb5OVcm+y3ap3wA2XRqXX2rso1mV0MCt14ney0DcpSKWH8kJQedcOiZth3uUGX/I4AQ80veKQ2vmVJFb2c9+qkwBv8PfeCDLmC7lVfQ9rQ98l6I1WBG97FFyJ/HCkEDwb0ECY+WY8YakHmi/OwL/2C2jwN/AILvv3DmyRo369C1iVhh5yOSf/sJQjWdAvYnPieILkVoE3Ea6Mzg8WToc2oqh0fB/W+pBv1sCv5rPqxZU56zfq4vcKTT+etzKio9HPmblUrqG/XGnE0IT2DpXkuWMeTCa2J4QhoOGPm6u/X3SfF91s86d4vFvB+XuAr3V0pG+gP3xYsWcVmS4VekzdxKmlMwvbc4aLrnLQZ3Yyr5qRg46Qa+dnyFM35yibqftnbvtZpPCdWjoQl/StFmIlRRe18gp4izzQLYX8mTdDVmWRvFkcyfL1FvzXpo4eni7snejUHW2PY65eeoPUMnlmPeBxlJTZMBt50jJbRG/7cTOXfOdj56ke9sDifu+s2pOAMx3AoSRjdqKBAF1p7zLZoBHdAPZGDmrtM24paoyaQfe83o0+87A71Zs1U8Ad4vPPrMPSKU32pANfchQAPwPvxWYWJ7rYf3sUth8Suep+dRExKDRXP3Ipstqb3qWcYY1FlvarO8So3zDckfH3u+TBBf1X2JwK8OjwmyqZgGfb+SKcN+WJP8HPuaBzLsK+RXceLnNvh8NznevYFFlh7uBHQe3ZHhIfD8Ctb9knPrV9ppj45O4NCSReGJVm4u+Kc4irfgqzInsoBjbFU7cU06mWE09tz8LIHCpOBGjZJB80AY/k12wHqrPb6yLY5f3qCX70DdbN2PrFdNFJ48J+93qpCv06X7fS6+H36Ki2nvWUFD/3PLCGB4SPags44dLr3knBn5mHGA2jsbI51Ne9p9+yQoe5CI7tkD4ObocqL7zX/RXxUL03WO3Itovr5VXXdvXtfT4fzDv1tE8d6klOz/ZeXjvrUNs1A71QuwSn8QS+yiw1aJCypxWLAwl449QMk3QbVLWzflLHziET1ju+0bhL+Ug4K9SLlx14xiX9vO1TbFwWrj9BA4bAj5talg/tGnyAM8cFtV1xfnL8rGKxs06PNi9MXu/tgN/tfbEeE1F9Xi/p0s/09HFvjY5SSffi8/a601vx08dTsu5ZD3THBv+mYJ3b6MPTn3/urfStB+pB+xU62t3z8DqnoDXr8eyIBQeNrSly0VfWgy79vJFyNFP2+WfVmmwul/Ai43Aui9/3XygPjcxDhWy829rrduiOlOkvLbsDDykl2M68IR6o0SNo5q96hM8x3SyGJEijx5LK6X6Md88U8JMzusvD+bsdPmYlywtgEGgk8ztzPB93d3tWMndt+yXcK9kNuUzu1Jmsxlk1cXIlRfosP9dZ1XdZaqYvyYATNmsKDrZri9KpkMiAS8H73UBHISLchDNsOVWBb+1fGoDnnpJcghaI0I2Mf58tT6K9i2cRmoOE6LB3uD99SU+gUlyK2vHjosLebz5vvD7ZfE/VgRaKmNS5DkVGoynX4mMhjv8NzLzo3zkjVz83wIru6glr7Qgx8dwBHQ6YRYfH6hitU+JcH9mQXMHLfqab21d6ItY72HcqK+Ug9DNfVzqX/fPGyt6vmtBHoOlW9ZJMudHf8JwvXrYTw0fwegVF3SIieq4Ah5viJ6f2RLBeZSzZ6eetPxZ4z8FPSAMHKsT7hvsb8GO2t/LK5q8x2xNgIKg+BZ8cUyePwGOAjmu2nfu6nxfGBHu7vk5jNW6pRwKapbP5kTgP8bWENczd9AIR7B28YMm3gZ/JWyjDJAMNBH4KNijEg+4//HxYH+nQnWS45nz481AcrdL+z+93AXryVmDYS1gL4IeU+z34EnpwbgNoibJyEhe813sbrfdEdNcUztceNTNouDGPSQWff1fgswT8LtCXeVYEsXIJZdG6AqwuMi8JX3nLlUTnWjZei//OeYwBr/FEjHgQ061yE6gGTZvSUUrnfxCDPSQcXTicDcJEJkNxzEOC0rEDTakmJcCTmuAIWG1zBgtVAPf2U/WLva7NqaI30KwP3vcQv3iizL73MnnmkDzjjt/gaccMCcBLq7bHivHpyqTtN/oxpwhW5qcHwgRaLPTAd2U5aAZy2jkH9PfZSPy6twkyAX45FOCTkk0FcU62GH4RDVq+roBn4Ow2wFO9K/HOUya7gDaJ1EmknGvBT0FehcB4gHtc2hwuGueIYiZw0kp6rwrhyfg33wYpj3S5l3wdPD6XXlDwaEI1NycefsA5D2Jd2NxrMzVhlzUe/Saom4nNHZbrcxWLZymS1ZEJ57g1R9p3PEOG/9SMeJi0hbLvjl/v9YZaGLcZs3vp0fgo6TNFHYbnUdRFsyxsn+skKCXuKCh3wNcb6c8r0DGgj6YAOAHpbYBAj/jUE5/VIo7VQi+lUKhEnUxPHWZx9/JE14NXLk10u1Lwb40on40zReBDrwpQty5oxpZ+qR0y5RbD+ptMtxi4Yzqy8e9cwz6XyL4vU7Y25wu4M2OI+qVc57ZeNXMQBn55xUYuxq7LHWp1ywPWeQNe9lNgk1YQYylH4LeTB2hT0HRCQBxfmZvcBPxqVXRPOVLAu9Dlvd7tHYh9RE4ivPUqX7/TUB8ZS4ry9Dvf/Mv2OgKN+k48vtK821n+rk94RSJYhPAWVDL1823XC0l83d8m2PNnttCUFt13Br4YdEXYLOZWAYdoO+MN9MkxyhBZ9BsVJgTv/tIAHQ2pxwbxlL1+t/O5jtiUDQMU7Wlfx1Nf2lry8OzVPcq182cl4slVYrdqbCf0kOw5T1eS3xi4cnNkvQd6+608AQPx6eedVVv8auzU1gwQeUOM3/pc0qE5aXZYAuDydaFH/SUsnwzIyLi8V3x2034H//0PkoAOUgL/x6rcOwi0P2Ll0vt7z6xqPL3lw8xrnnlaXl/3vXa2yrcOfUdvyTfwXWl7U+XmPNu7LODcnVj4BbhkycXZsfkblXO+HAED8y0+N9jOXJsP8Bn9Ec6njOaVMvxhZ5yCyniDuF7Ec/26j1LZsN5WznzOQLeqXnMeG5VzA/g0Jbk7g6cFb8AnkroilmGJKJ8iKv3HEdRiCudL2ZjP/yx7pIv61D3SsAQNC2iATJX160cr0Qs3WI3xTAfyrEPyxRb8rod5WyHt791uz8MbLq2/G6aw5cLRoA+lNLcm4neKQa856z07YQqYTSuXMODZLXBslUtUAM8LWCe/7X9nWFe8wH41XB3QlBXtb5s8BqbA6pIaMytD7wowq/68zmUP38NNUvb4X+5xJKJSGjcVwOGCTMJ2BnHmIndv2yr++6gFsThn2l6/3nFQWJUHA+yrXBRmpwAfwynn0qyy4RZnI84q6af1SXzW3PdkhPd7ZKbSU1UaOXPOSAQ+wKn69aYcHs9W4je53YFv1DbPUtZD5zdGvGZlflMmyDH64/EIvKGD8uqkgeu6PcFnO/PDKx2x0UWIRBz6YlhzGs4Couuanzq3DufP3KVONagLX3QMuhZ8fTMz08ytrXnDgaLDxH/vsR1yqF3fr8OpI6BzVS9AK5g4zwErtyKqsCnAu35XQ4ebUMP5CXy1FZI5WrWhTux7DxWtv6oB7bhE/jFcF1WEST3iLWdBLnohfjGqby4ln1VmzBto8r3VaaAZhyoiuCp2s+KT5KCLG75eeHh+HNCHX8FvqyINMUZXdn5ANfwB/4LDkq/nzKiD5P4Xj2mwd253m5P9ikPgoVwOyb8+PeHNV17waWuGAbt2Zd+D3gN9FSf37IQ77epPIYKuQebLchpwxvPg+O7BS8FrmELHyfbI8FMUZNXIZH8Mbzsern7zAdrQB/0gZIZwrIUQWW/ef/ra5ushZRDfS3A7iu6u4o8lj/UgbY8iT3e16Vd0xBfh0plHagbNd6yFzdFGp3arImF7kMnbVong5WFvdNQIfBuDfQ4q8DUN8GDN7RxP/yHgRwG+5oB1nzREGTxHWnqlm3pne6ccKNtLGnSaDFEgI/HZhJRJk61A37nwvCKN9aUdytc7DtSMSXQsyBF8/nslp68UNLbc3IZWzqZBPeiY5qK2O5/J3Z2PnapsrVKRjCQKn7mjU3XSc/P5x829D+cYKUGGWdgeVjrUX3yLN1KQ17zsVSu6jG5J37iTq8MMYlBcGkTOnGMu+/JSmgT+Q5cDd31XJ2WI/JizHmK994lyBasMPrIi6ZSLjsL7i9QSHCAuD3KYMKxPUnL/hRuAtyX4aNh3RlYHmwPFxBdxz27mfjyO/Oo1ktqZim8QmxUPJ5EvQjSoeZRj4wmMjzn3sYgDwrgP2gKTbPnxfknqzH1mY4R3rxoEwQt4MJZdqrB58mgd6FioOuo6iOeTWujYGAI6nzss7LDu6VEhfasc9JUXXanCzuQ92uglsJ16ngq2ELwDnCFKYT9uzBGYui9PdDtr7jhNqJIGixm8zUP0t71wVw9VNF4uEgR/t8CZwY2DbW/YIw27YymTJWM7L+/BFw63DtbpTQ2TU8fqC/BtqsLZo1Fn+yQrMr5qsq737Hl122E+twXo7MiY9PnHT7G6gmYK4I88uKi03jd30cAWkdWY+oCVF+2uQd8IDMckb2x9/Ak4YotBR5mtrUU+Mj1rTL5p8Tu3/fMYT99Z/sfWpFHq+ravp73XP9DPG7L5gyJEF3BeU750ro7OM/x/wGdQ2x/treW3FXfM21Go70p++I1cXTSf30GZznYuCY92njyJF38Bll3BU+JRnHAm+vmVu0i16RYp9IY6HYG9myQzX7b3hbSz4uBxiKe/AJfHgwP8agSWg66ahRZsuB1+sID9tXNtv6qYvOqJ5iYSqPYCOBsYOGE6sCIoq5NNW0yddHjMwtYoLg342WyBzw9aGfoZa7wjp+oIfKywptzBK3YK9j++EjQq8KMP62u16aZ20Ob/egP22+YHj9NGnv7eMwe012adNpFx84IYwNxEFuRRSTsLQPzUIf7cBbskb6PpVsnwQuwsL9Ch9Zis2jHZAK7COq+BexVOOX091z4T+K2U4g1067EZKaqYsnN93YM7GeCO2zHM7ntn9nn0uOeDEdq9BbYPPnBRRlx/PIbdaN/Ft2O64rF9T9q9HTfrrHSFqdz5AXrqNw+Wx5PDlh3obHTLXIjTsOvqIgWd1NxTY3tGhj54hkvjrJ77xeTMm8TeVdfUzgcFj59Ht54vybvG05UKkdp3RHrgfrv5cyfMdNqol8Yu63Hn66LjNQudypuOimWg3/3vdjSh7fmTypkq9HGv4/ChPRNyM9l6VdoYGoMeCMUpGTMkcO0kws7gzQfkCT7tS+cW2D5YDeDk7z1AqG19Q1B5wY4VqVs6hIO+PKkh8SiePjPTezUm1t9JWqQPwYK03QJP42CbAl+ncfLV2Hlfko5l7y+5vK2OISKUrx7VqD3Y01eu/iV1TUgdCprXHOwwQw4YpkITNRHethaVXAz8iRPwE4vy4PkExYBBebWQzQFlfjVOk+LdY++KtLaa5xSE9eCvUt4FSnaF9qYXzsfZ84apcwavFWxoryONg33tCtkaO6sZPAzC+8YVExvWBvDvi41a8S39auPmAvzugjcHLsB2gsKTn/6uKncdid6EB69/iGICRvvtExjqwfe016zakCZ8K85caPDH3Xdq9Fs6ijf1uUbgWSve4y81hg+6YDhtSWF71MoxcCG2/JZ1nu7nJwcrTcPkeIySWzsQW9i/aUL0ujPfN//yozzwywHo1y4dFWmH/pmBzjzGiV9HwqThLZRbXdKIWK/2ZB48t0QCcNEvxTSx/s8CevbBC7oBHcUzufO04S7E4MHWFr/qOHJJNjrq7qS/2hw7m1sM8bIeYU+24GGl5jf7m1dMBLAnNu7JdJTdUrn0Drj6Xds5XB7o7NHOT7utGrcDLDay9jK/ccmu3ZpXL4J3Evm0CskG1DrNnOsKuOWbgX5qGT3nha0pwIxv1m8VeKd62C2lnRWFgl0pOzhJ3bvt9QYa/qviSaiMsBrbBQ2W2Xgj7GOV/r9H0LEyZ2fvUqEi7NRYHavnDX6ruAjwcjKaNiIsn7kL7M2Sc+2qgYd4oyGeuO27P3a7XGYXffq4V5v1SMQZ8APHbAyX2gWijnHM+9+8FPB6062OZtrIzmibpwC+s41F1m67NwL+HrA5YKD/9gjv2gFieulBXza2FxJ4666XkX+F32iI1ejR3Ndoqg4ODYEjK+LMBPTIqy77oN1woackYS49E68bAVtAd9sZQ7Nr5/odbI+94QznmtozelKn1KEsW8k4IQSolSK10+Yv4Flzb0+gg0/djaNkr2H92234aIrstw8Mef4B/cHvpaTbOvJlPjzuROKlHswMyi5vObBUkVTKQPy6+Fxx27d5zTho89xRieCC5kIXTPQPOx+qdPSVouldgE4lLt4y9/zyy6ayXrtXXlmUvh4pqWL9niGTZIL2HLQTtdrJ7WRTwPN5k8NH4PdI+0TgB+yrvWG5MNmdAcMwG8tntRUjiYlg+XpfGZowLl49THjb+0+ByZEu4QyeqCx58gS9usqsh+1RAutdASb3lZ0MGiYE1udBn+ukiXylPbotR72vB9DW22ZWuX2/ma7yqDvSHjzb85ZyZl45MGm19F7GVdcIVcKaHKpFIdDOl4bRe+OgdzKQVf7558nz9ZS5vb2nxbWnGXWEC795RwtBNc5m7gXgQelFx8Ezc21NhxmIq+LUEa/+NjNBQvzrz0JSvSWfB/cP6O703hojmOt/V5/gwz6vj8rBEVsg5jHdAK/6xKV2Jhrsq62nogOXwM7yp7fBnrFglTuE0j7BLEx/ZwYJob9STGAtps98Cew8awT65B20wrNGHHGPZmk8lWTQb2SwOktdSne6NMBrzZCkpQs6chveAZNHPpqi2Vx9IvU1c01cc3WBc/Diyl6BblCxeJBCgX5R/3SU3LmwhhPo+NtxG6zAH11ajuz7tmM+0mMenZ/H6IzaIsEtSCgWakKGxwJ4uQU99Whszhnq3kXUODlPXrk9C4lQ3oaA4V42Awc9Mnc6wDlDuQGxLn2Ux7s5/w9rSzl5JfhiiRu0d0FnbYkDZ8yB/X+vC1v3JbKy74KGlZe9Z+D51VACBrzy2Wx//lRiRxvxhHO1kb3awdrsuegu3MWMhaQHX2v16ZzbOnveuAy+X8nzrD2xOkb+PkPdoE/gw6JkSB2T8wJ00Ugz0MClRuL1XV4lkmMTTWc4Rw+I6V5tkzfbMw50LtJyvck5LqtwjWz2Osc7l41J3EZa2XpSZb0hU2+6SO65S+G8JcXBs31ukqqBnc4MrK07n173AOVwvmuE+6PtH7XVA3PQJ/i+MPOCQm9tT0E7E6B7g89dHaVSlOG+cRRoXX2qHeDqz7VTn0AzgPes4jPSi9jxUwCcN/mgkeOW/9Zy8srTqMFmn8YGga7zSwMRJxLYUzsrAHPqqQtw6ZlwAeQ8fYpC7xqPACbRr7pILsRBE3jICbTMhaCdd3DV4yhxpcYPN427r3b4rZPaKefPszRTlpuJVBFaiEgOuUmUcB9LjkkMmiHNZJI3sYG4B49ekBuXk+GFnvLe9BybGLTPUUUPn2wz8Feo51ysaAQcwoJTM+DXbJ1L7WJCsb6U/RylhpBKNM9GwG/nhLO4X3HQgNlYgh9TwH3Be7ooBrpzrBzy2dianBhfW6671kwpYxDltieUMztp2PUpAJrA+lUXcADcgzPS5cpNgEv0T82bQKSi2/SZLTqUI/kGX/KeItoDVqo6xl91b/YtJ7Ps6S5FzWXv3ODcw3mEeCH9/EZC0cPevx+80uanvd4vD6Sgc2l6dFjMiTr2DmWHVB+6lAU7uoAYG+mnWIRfun6U2Tmgw8M5giW272oa90aaaH3TTueBX/3KTsGXNBA7S/MkxVSqxfaJnF93y5NwbldeYPAl+Cn/+a8FXG7YLP2zZumTCJoSoS8ZwiGz8/VAExApHG5nJAN/psDRSq5ZLfF/Ncfk2mAt94DxZAgd20fp//dRQhCpbqAPu0qILRnNLWX/1QR/rgeS25546QO0klQCo9IDbt9qT3md7ZmcZgtFuRSSRzgFXZ7DmVlJGw2xOu4dcq+kfq3hRCMN8jpI6Ak7ynRIxuXCwNXb3s5qQF0K/lebKaijaYS4CsWYgCbnM49ImRbdVYL+Be4H/a9AI/68438DHE5yF4SpM0Xp/+dyXvhII4bSC/x9XnFxbEzXsQL2Rc6D7Rn5kzvH+CXdmgX8jM37CdNFgGbRiAmyHGE/KnxewN+HP/cCRUeabRDAvy9y1u2abfe6F2Wg4oTcBqc6xKmtO6jk2RVb/CY36/7gpTbnnRLUdbBHmfU8ZCQl6cUqDdfwbPoIZ8Do8Dq3IylIoe9K0LdjkfoHhGdlMqTD26tWmqVFj444STT+u4L1joHkv3mUTLWhUTqCrsZKtYXiZEvfAddjyXCccn1PhZhrIxzm9UsdkYSHvduEqhcYTuJY+pSjAbB2n/fidZbPtuYi68mVYfOuXNzl/W7OANdB5x9yYPAaNIIK6V2Fyd3WXx2ZogR3O+D/Ywb7VzrIg3NbHmWSitNP3f0G9PImQyS3c2DoIl45S3Ym35KfsqcEH5W7JM0dXeXgAZjUl2rQuQDlzDjoXtCAdDgvmYNjivjMtsaAhkOAn++N4PfUO/ucq3chKeXubWkLAT7b5MrTr9yDQUbrb/Ays60PIl6SgMbBmWPsXNlCnfTD1vr9m8kFniMEnyDhux3U8dDftT3ouKh7VKDr6hA9c24s573bPkU8+nM5RuiLbclvXmWD1F65OihtLXTR0dbgDWg/X3DHbTD8Xmk7WJarVvSL3HJfg/cQIVHCvrs/Gdaw7AFneJMNZpM94fO3ZgcaK9YYPE8/f9u8xv++C5PQjDVotSYCvBG6yz7Xkc3DqKQCpk04H3VYF2LDndlQm5Porkv7DgM0+DUdjAANkzd8nlRk8wlwLKQgqjg/f/JBbL/K/PbSG0XDsH8sALcBnzXuL9rgVcbwYO/b4awgAo5HisTWmJW5UJmICWin9R68TwRW5h/uiO6aG+2xcD5S6ZOsUNdj2Dlqi0HfvN5l32gdi6py0BX2hNQL/ZTcv0kDfht/rHLreeLQh3h8ipBfygIvpMefcB45NeCHTVLWPWaUTxcQJi6RtpeK/6WeV9uD5rM1yYEP9Lffl9rqT9vvEHR5kXKCM3l1uTgjMsIaht2P9jlGCreh5nQwVYbOj2wMDulWPaiLXOAG3Dg+os8bcDb+uX+s4HewkT7Bs9keoC//JckwF00xrWCfk2rsDCu6HLC/4O7kgMZfkSW4p4NWFRIXhkz3b8bnatby8S+nnRt4vhLx/DYII4LGwWnt0Sv41+9shHUFD/ryREdewvmnTrqAVkWmEOi81DzZQhxYXEjkqfM1V18yQqXclku+Te8smhay7Ny2oE/Vd7He/HFzRsDbnZ92pjUoBw6ROOyRigHXXzUIfW7zacePS1ukHg/pt4gz+K6f/hC9GhMiQp/rhRSge3GDwVOJ7lBv8aUq/i6g6x9cJH3K9IYNU9fK6c6lDzrfTO1WrRjXgRjWr75zKuuRL04iBP1M6yUAjp9KaTqnMkkKmqhqgV3AX81snGzfyJjgaZOPwbudU2B5NDfdno4GfAC5SUDT3PYNdzpa92QAzlmx4TdPL5aRXjXj3xXYw0cu/Uhsw5W9awLufE+dad/0CfCHeDLbN8rWC9nZSHFg+1FT0HsT+JC55sbX9n2eMOCru5yifiWH80pxlFcieGEUJ0uz2PnUTThVcpi57fglTgqcEjkLl5QZaB1qzHcazkkdrWzvVDB2+AS+H3DJeVDW0YzRK3jCpRS6gjOcceA7LSarSU90m73yAb5r2KOsELKCeNZO4+jnn4W4/hF8fVIN0zsde/C4UymiNanCdCUimskYFBemQb7Qghdmzzww6dvdMx1tv9/OxrrbLMZLYxKADnrdpXyxmERNKFbgC4w25JNGyR602L70+EId+gl+55KPia1RAQDfebXssN4a+F4S2N6+FhdLLyhJZPBRlO6R9496EJk9YxYLmx6/vPl0cFdICdDD5ozycfrWA/kUPMmpAfyJ5tn6vNrJLrZnbhUmWQPYCn/HyeeaQ0w++TDtUrn+tvMNISYgtuA3bQMfzqjXIGHrmV/75bW8+ZlVJfh83btUVixcpa7jU5DvIvJT5fBHurl9lgUt9OkDPH96J0Xm2v49LfieUtp6f/BqBVkqY8am0A5giYBz5OahfwVf+uofZfjmjw9cO2hse8bv3NwVM8V/H0Ji8BBTn2KVq1H0ZaFXVdRVgGW2P1vOx8727jjac5wWyal2Z9H85A2tt7mdDxfOGxYH3+BsX3lftgYQ9ChJ0ui6cKa+lMzQT66V6X094msalegoFM08HegeMMszKY3tuy6RpR51jvn6RiLynocq0WE5V8z0uaD73KMJeN+Cc/LSNhc2hIiHN8RP4MNPut8/1yvS+7gy3TfobnDQU9GMKtQoeQdccRXX3znEbCoT2ZySoRV8AT0U55GtwcKOjH7uBXopbP8d4Jehe827GdvCftc0q7C/CNbD/q0vufO4yPHvRdqODEAwGQqXckAzMZoTedsDn31BnKyoQ84M4z3g9c16HWLCuTrhWHtnT0XJt2LqW+Ld77tRurU5J91UMVsfCXzIxGTjp4X44bamk4WPfLiuaqdLABdwJREFPUK1e8OAMyzHScd/Zikknnadu2A2X2sNQIe2UooH/X/+xg48mwP4eWpjeiZuF4POSsU2ONv3/qWtDhKZU3kmPoruoSLxTCP13QrxpLEpuEOumR0n04tbjcWZ8+uDjGe/xpMA/eaCR3tWXvd7L6ojvJcFDdJIF/WwfmcR3tQocVIcnPIt+Et++yIs2dcOX3JnnQOyxMq1fnBKD4AXnOFTK873EhGXx/qsF3PXWD0By0/gYV3i0FfOrQta5dJwzflWvLFhvlVjAF5MfOXbBrjBB99lZxmQYzuC1sCEtWPjMpPEZb4+tnJ2iCG4DoG1QCqool+VthfSGBBbu0Bk6jD+/z4VbQRbFc5xyYTMkZ09b85c2rm65FPb2pAom0khhtpqGJN8wbOdeTx912B9wYO6TKiVPnU9aJYJovQNzpfKhsZPUfBeo6kv2W+OWUSFymm/LgnX4ENB1y9kPgpq+zbcwfOHLJopjbrI9kxkjAzguc7aVbaf3FW4yqGx6mxP+YNbor2nbHZbXBuF8x4njTRj9v9ewbHCuATvZe+P9i1LgnL4WKrPdZni5JQPtociPAc3AWD9rTLTjkYK6R6tymHnpU65lGO2gCY2Ks4AV2hxjBLS9CTmA75IQ4zi3Wu/fmpl+WIOoAtSOdJT6n44Fbf3NHovuRqZzV2zfTOlQq2gpOYzBqy+5GIC/yKmsl/7h6WftSjBAGORb+lX7uqdctYAIaSsPfPyDi7bdsBBytabrY4bO+8Bq9JZu8KZee6ouNkmK8nX6eF5u5d9hspi2jSYPmWhcyrLRY+E2ppiwvQgcXcowR9KaWsKhJPDOc6G113l9Q5aSFawCo17vquB32kIPOzMBzJSwIq5Iy5NgEcOpevjFrQexFBfjyQTtpYEUZ66tzNHmaMZpeCPrzloTfj0C9mKB0PlvYqDF/bucpZMFIBGO9PCR3FNTyVgcHmX0R//4K4Xm3NBnPVChu6WR/o9Y+odPsfOt0S1mG7c0SIbVk4Nuh70SKeiWYmou9fDLCRTHZfJ67lQbfAFvIIHfv2irD+T86YOpwBiOM/cCT6VHEsQmdlpB/vVeOVACJyhVTZOTh5O7xmfUjs3F/jm7eDxh2L9TPquqwdg3UjfMne3+t2vGPzSQBcSgSYvfvrZ2DlhiEq0abfBHrwoaG7wvtvEzsF4VPL6SE8Bbk/BnLnzOz/RTvUzxCka6wh8kc3DZ50RRXDQKHwSaV69gnPq/kF0ECsJOAd8AX5sSttCfx5cAT4/eeqC+sDBDzECttkZbNtkqJgu1efalB7hwP0ls2uPGr9luidb8w7eP/vJd2P4qTe//Q+BE6cvCn6JnxQ8n2/2i8C8CPa5IN+N6IaDp7xcCNiXnxlFb3tvOvHQ7LhQAcQ4eKKfvpX7Jk4ftVw9jqHNffzpLXFX0vY/vL18yj4HjqFDslAvQdydeylJr0CbcGc68hGkkTeltmeonVUHmn9quLlXBU4AY8A/kkcT29ldva0jhX0Tz6OkX7a2ut4mdxknZ9r/apsRvFufbtY8D1HVxILYuVYtcCac9zv8OaeYflHwm21k76eBYQyO6uEGWi045gVJ+YJz25NQMsDn6LoCnfO5d1VSiu5cAViDqn35ZWHn4tDoitro9vnTX23bgOfl9/bzllF7P2v1qDNdUnByoD2eqaDfFj/pcLscwyluTrZ/a/isbW+/orPzgiLF6Rv16C0NkUd6+noP+1nbWnJjez3NpAbetn1TmJNeavCKwHkxePeJSkrSUFPt6INyVLBH/bN2koSCpoN4Zc0p8yHG7scCdMggdnrpjjS08+tJv1/0qy4gEXjy6z5EoGlM87kGZO8mLqcbfCe1GMRjQXOOz1LY3CA8KBZIHk0zkxh0NwX9QS6g9w9pIcAjfTzSIflOsTnBbxvTgi/N+Jq/fHX1sHaEu3KFm2wYzryDSx+goR2I5yfj4gL+2Wmktr3/hjp8gJOkY33qvhpM3CYkK4j5zzS6jRzQmm71lEfdth38MO/1yt7vZUi/7rGp5tOm6n3Dek05Tzzupk97p1AWwY3a98Py8agi4FRMQVJh+666TCPs2XfIdsZLG5IInpEA/gxk1O8H4L9soO+AXUEOq0R59993XR+Ni76p7d0c9k8ZB++ZC5ThrsEjKAExSlWhJ+WBvxkN4THdAEfwKqQTQ389ka8p7zFtYzhHDgltDWnqiFNVEBDoai45cvIiePHXgfzkhq2vDDwy4AQGrW/nYmFte2zKacNCFFZDdwVNBx5OhcDPvtisew5KiYjAzin0gTuBK3CsYvUJ2uaYbvU5ZWoli2xu+fQ6y4YU006edFj301V7OD64xsmkcsnz6vABaB8DVg+4qgsTqqV8iBBhm5PPjNnXPH0cuc/tvKp0NLZe+Q1iagHcflTPG01B69j3Tr/3okVCa3f9JRbrcTNH9omdu4QarN5zB/yiIId8AP2B+QweawO8Nee2J63XfVNJJJyLonRUwjzqkiFxlEnYq5eOYBD17qsH8m0Wgy/oSF9zlbKD6+8FrIGdpWP91ZF1l3IIPRF2BcQsIKpmadjxpkgXxuhXgwLbvysG/VqB7+qpnemxBSUymDlfugBw//VdW+B4mQol/9WgZBCneFN6NAWuvjZ9ChpO2ES/SIeElTx50AiZfOgokcBB4LVLaXuLmms76KV0p1GdgI9OJIEYAn88FZLPr3qHzwrhKwcOAL25aU+pd/xXx3jmRfhTo3Fw0Al0w9xGoqx6IsrPNQZ9Cs+3uvPNzfZ/uXCUXEEfnyVOXYBARMYpkZzuyUKU6K8vDbCBuNpqpyPCSQIq/X1r537bQp3F7GqrjyJVaruW3L8wZsDLUR/4DSgQL1mPSi0pYwPh9t0lW7RbujNwrojr6DEfnORQb9avGTSeAk1I3OkLlFyWDWpr77dAy37nfbbUgDkCZ476vA0MEfgOUiqhxtrmgfbNncdmahwFvhZhEnZb0F1vcCpKOxeCcvwOWmyvRPnC+ao8dQN48EGE6o3JEMEa2HfYYSpVyKVhyk3gGShthbrnTMeCGdCpXU9OOoMY+rJzO5QL3M/+etybtmoMfPg9M6zjUiG+oki8MColcn2jPcq5I7BdD+51oNtAcWOhQEt/VSfzBki9EtEfVC+EgRbY8iVbaYdw0F874N+0cbo8H80oouRsc9GoE7q2F17J6bJf8Ou5hhYwvA2nrM3XAGvpxfYfF6CpWqNEttj3YfTeht0e8PHECnOkMrwAXxN9UpW29wWnYBALNccwRM3J+KCdHfBp7xoHm2M08cNvf+zrnPbWawrg+nAltx93Gk9lCc8C5947Yjo3g/+2R8pjqDtVeMJwLu4HdH40XAWNEH5q+CV1sMtPQZjlV0Si7pPJ6xPi+AJnfJUWv/XLtjddb+cLglWdmau+jxGsjYuegPRuLtcB601W8p2TLt0uHVTX2HydMciqrQlpmD4yRN+rJbg1p92jWdT+4JGMmKAH1ZLoEPAx7p1fvYHAk3J6bQpybXHy45HqELB1G16yE01Ajx4Z7sIq1qPt+5g7aPiZRR5rk29uaeMZh3Kx5GEnYC32SnbvtaO2sp8q3fuL7bf9ep9CwP9IRhXl5hOsz5uIyFwVKhH9JHJMub1zEGNyBl/B85+zrq7pQM/1tuvz4mMWo+5lbxLO/vpSTpkohNc481e2JKC7Q5sH/19O+9Uhvd+zmLypOHjkvY8F+LwqvB2OkYgaTm9ZId7gt3u6fzxtbpW2ufvbZE4Lg+wsKzuLRS0iA5zyCOBf3eupXHrAcLytMVVa6le+jSNAA/IC7zIxgYfs0DH/4xMP9t/7uB8WukulAI3z985dUrVFhtJlt6rDxMA5tHW+X40glsnebH/UY4S/uDgvBL4LPHQAnuVKJH3lY59qDPHJzFx/3u4K8KQS09gMdu7N2s5fBK0MuOIpVRegwbwJuKe/1MxsG5le7P1dtSU7PU6BFB+gXZIyX+wU7L930BxvmSRhHc2/czm1TCbQfE7jUZpGYmd79lmsZWH5AJ7LswE40MaUSzfMI7YPSAbxFO0Rd2pJNhX+64P7WlEsCPHwG0M4aqIGvCJgzkK3oMXf/q9trk/mnB9puObp1lTlqAYCfkwKc1ZO44Js6X7mYGGbY+aXTX4L6wElJcKbzNk9ADuI9RoMG5aNpKjs58huC974Drizr1Dy23++Msk3aHDSoBBlnulFf7tph2I4txCH+lYaU0Fc2bvWTRr3LmiCe33SigDIlAj8jzg79bA2tcR9xWxPJPyZm8kFbl+Ad29y/M0j2h/D+dzw8M4Gtdg7phKlT70AbvXoHSj8AbiNK/DGeyeJAUctz6aAkTFol898mASJlMUAKeBfChx0bQgioKBzXmQX4MJVHjW/fXusDwVPe6ND77ebdbZ3aKE9ft97GrT1nOYGH0Fr3sAPurAXe/i7/+aamYI6O08sipQjqaRcLTzEu9IlXjWgtCmwAo1k77J/6wJEYeeJqrNC0zf4/fLIkl3uru+ZY7YZXwekSI75MNtz12nx12WsfOQFYLTVOhh7okhyAv7PZrvAv0XpNnmIfp0y1+d6JID6wW+uCOxVefztRSBs37mJ9fjURr0vihTJ0ES5AN+Dd48ScC/dkhsQWlHLtaIOAh9PFHN6l0Ronw5dmS36jYCuA12ypBGKtIN++0gzb3pTg0bwLE/t6nO+KN4AJkrTzLqnjs0JOOZr0Fk0bSAepVEVcT/czAsU8wJ2LLqkiae5Hac5lYlzcM+wT8DZEb/sF7M6xi99eOsAb1laTCNzqfWlQ8oTw3gH+uW6svk8zKhvJl69+MqfHrl2XimLVXZ4XoHnbM0dfcJZZ8folvAFdsT942cj5vkCevW5fnGK2rvJzfIHC29J83nbHsGfqUhvRY8PmX1fjG2tbeLDvn3rYbci3vlue1qAP3gCflXpkvpUOqhiwYrkt7454bPAyXuz4I1GmtSwxy9vTgp7PzN5tjc4Kc72fYY8gghr+MclDe0sM3UGP7Qi2M7XCNIqgtgJ9ZtiHHhVXzj+mBVOUempBfzQgbHE9nqP5ElJFs4BePPXPfa55jYnHc55qIkGJVG59LBHoJ/i7gi61G1D3P3UASObjw4cbzJ7dpeDo4s8hPiMZrcKnSflKNDI7EE3+vlJle2JvtlecYArL23z4P1ke3O9lb3Nj/IvoO8y/lyfq5N4VL04Vhxh8OJjLv+Al1inmbzt0rg7HCUZWBxsZaTP2pkj8Ma2vnAFvnQPGhK0hYHYJXvt+q97gJydFAW9k4CmvoPO38MzOswRFfi9Ibe5pnx9BV/V21wD4HoOPJA1PClr99ZRCTEZOTPtmwc7JdeGmxh4JansuNGQvOVL4rGevN5ld6Igm0wY1UjuilMHdIhTNpazklfP9m1MgcvpmNgZ275+rrnoffCQHPxND8h8O/7ME+x9lQ7TyubN23x4wcvL0c7cGP+uACuev3nmDoI1t73szFBx4R1DP2Q9n6uBlIBfXX1Kn3Vs+4fcVDP24BWnBwnxSRVJz2DvbF8s0GDg6dBXPnacMX04eM3qiIlpRYDyzfoVh0nqhX4eIcfORGyZ6Wv0956CXwHPPdeL+Sb9f/c0zuxVER2BNw45cEFrugXOT2lnplPUP9pwjVg/fWV94qW8fxIcSC3nomHB693oqu1/8LEnscqJ0EfwUX0ekht4p4dAXQD7j5iclhTtvFRydEDZA/T8O+CF30bENJg7KRZbGa4PpdSZFBPo0UDZWUjEMz85vC/Nlsfghjy1yx3QnnFQpqCbMwcfxSAkPXH4vsThQh8qBO4Cnid3k/3Pe/RYob03wXokcc12lz2y+Z8Kzise2piG7Hm925w+EdL/z1L3Ph61UIcGzhNxxQ7Ovak+1xHBFDTFvK9iIeT2L2gVHILW/hZM7USMBxp3i+SagQ78yZdL5TzBObB+uqj6+U079ntBz/LfmUGXZhGTHH56GGwoYAXxqM3XvYFTtb2EvvMRsMmUT3UiU3UC7uHZXfX+dyXxlLq2fhttft6HYROLE74q06UQ/6DqJ0626pbJ3StvGfQPgfPVJWUhthUS21qaTkSd3wxqluFtIXZm9hJMtg+7zTtIncdFYbrUrItgv96Otn+bF9CcqafkeBC8v5ORZvrUP+tTeElj/crfwDbO4Gzj0rF3VSmcqzVpcXeAI5eWXFTgD/ag63FpyFPbeoSwixuBXVtX2/bcP7hoqU6A/5yUtmcAGc2XZBbrzViF/qaW3SvndgQTCR4guXFDRn5KvrMex3m0Bo+p3ymiWJ/AleMpqF1zznpyoQz0/wnf80UEOprP4MMDgdWBcWxnk+7gnG3kFuiuEAmLJloCrLz0/JGTiJ/MnSN1zHtcgK4+ZJw4ykzfFJ4zFdOiivCRnvrLvxjAT/AODDAxOtjKz+F2r/uf97abjE+fdEumY8Qd6jpIy53L4uT9V2N7qiwdZyYywY3rf1Wff+6SAz+wYA+6dafhHNn5SMz2i3K7rPq8ZZVr359/XGoXSdoLkYa3vHL8TWtST2KzEng6/uSaSD6n4e873yzd0oCiAPQa+qxi8pl+rr+0BP0guoQ4eAb/9Vmf8D4vsNG57QViDrCeox66u/ZoTBmdrD6rkN5qRAAbOrvmG8DsuRw6WoW/M6w/KffHUgL/bgV46Q6ez9xaCXrA9hozdP/j7TDoGwfbWX8b2RNaO1Ns52lVkSr3Lvnm4ANyO2NySFzmmQw8Q8EikZFT4MgQv/LMmQJuFVGIOD/b97EL21zv4POe4NtSwQVvI03yUeD2ZPPq+jtd9FUwmtaCbNkAHCDNdxpPrDRUlT1N+PPqH3mSZEVia0TvYtGvPFjw85arkl09CKILtQVfeLSxwWMiq1CwCvwsxIOt2fRB5/B2C991wgHEETmgn96E5/RkXPAB/7ROZGLt4hK0+Bt471MbT6/+GxCnD6RG4lrMq0f8Rl3aq+jD3aMQ+Otnfi+ToiuPfH1hxvpSNIJGD/cLfe69JBLFhFi4Bj7feQf0d9Fban5mg7iPmTztXZJ63UelHNZV9WjPt+ZYwZGQRbPY9anjICoL+N2RLqqoe/Lw6u3d+ZBz0JCevlaFOSoXLxp1m1LON8CsPB8oSyPQEtEfp1zAJfWgfbfBq9/yAnq85CdB8sHxmnB9bGJxFdzWqN4ewgA/Rf6mcdSeRDcwCN0W4kLlJ/DqzmTTdwdZkDHFoI2iLqll6cA5sflpb3TEVjeljdu83pvH4CEFH+ksioC0XFwzpPbpqC8VMyNgHpa9f662O7cepxLigpcD+BPTe9UIZ+lfj8HNjwfO7UyeDjjavFdu6Lc4wNWw/lKcv+5tjrXsPdCo37TovrIiW2hPvtgpuGoH/JgzrWhoJhYKu17XrF+P2ts5+dL4sPZwPm4Dl4lRkm4qN1uU6LKDJ9741vYZwqoGbc6Y+X7hhvyZsZW5QiYMdONq73TnHA5/Dbqk7ddvwMEQh/RLh+CU0A74byqB13PQeUHj8bk22TPfXJ2210GLTZEW4gv2YAbN+nXE4Aui+aUPN8rpANPWLh8wBi1eUvSTh9WpkX4JR+ybXg+29wvo0BPEcCaZykA7Rty92ZoHk0fpAue702M3Zs5/uOIlHgHNy7fqot3uFYePJkJDfer6NvLjCmFPsc6H2M9hDb0MKCNHGEP8nMB12lrHATQtr7zuWBZ/H2mB96xHD4gL2Rqx4VyxXNAA1qP4d3/cewR80H/fFdYLjjMG2s8D3FkSWzOUpz35rJzuveLrJIUz0EbiDTxzYHNRmJM9jnxi8L91+WhnFk1WB3eAkW7uGpLj5K5CkQpnTjQmc4les56vDujcHjByyCPwgCf8LSLzrmVyrBx0JqG+0n62eEcOi7mB5b8JbPuLGvzTv2ZJboAdLsd4Bc9m+9yX6ZbbulJXhCawsz7pYn5xg5zsbLvuCRrfkaJx7cxN2qO5PZkQsNdTgnIipiN4hIXY/m2SbJsNaK7NbZ8heklNAJ5KdPBvPYijPWHiTMYpr9hPPwzCFvo6X1W1YMQiPR23+myno4NWeQcMn9nwmA+LsO/N721vMuok4WHpTC6dRz6SgHNyYp+3iISkSsG/lHDwqe1n4NEkR+kFtMWebQM7S5b+6nkEfsfVTh31Dz1O703I7cx7J3VA6Q/JnZ26qXTgc0CAVAV3LeeAzrmVsJfEyVa6N77t8w3nL2+4/uZcvFWA+y2nmX3nIhzz8g77nE/72t46mn4Gb7CvAeuA2Ssp6JnxFLRzoqroZut/JvjMnoXTreLmDM+5B1AuG1jrcjGcRr5q+dlJXfCLct1ltseTMI8KtMB/31XmaCqaQttMiVwK03Ex5TXgVe3BGZfaYgzKe5XSaPJFNNm8iHu7DUARacz68Fm7a68y+sK2lLTm7JHYdKBW+r2rvHRrpsz97Q8Qg4/cVT3qQateW0Ypi0OITQLnJZiPuFuBb35Sh56JITYXfw/rz/71q8TCTptopdhXy8dF2R7+0ic8nM9kCZ/ULe+SkZzg5JUr4jPUpfW2+6574gscCGpUYHtxqf6xosN6xVx/xcDf5UO3t/drqtjNDH59E01THj2eoPOkzG+2nlhwr5yP4doHn5zKfs5KFJSw5q/8wwz24Z/nAU+hIwcx0QlW6H+zm0P80wM0NXoFz5KCtiaAsHbfqXZoSQpyhCVG6TBfbY1dw/28dlb/Y+ralhvlle4rcTCp8eUQIzA2IggdQHeAXCEgMLGJjXn6v+X5nP3Xrqn6ZifjA1KvXkvqXv1QFLRM4UOWPDs15a/5Xxw4qKwHZTcOiYFiwXPU7L+76R5eYy070NsREnRNNgnHWAFvgYWdKOtXVpA3bMtHQvG3GuUA+TEDTXEpv2bjF1wyWx2JsF/3esAfyRU03IfU8Yc5A0uFV4HuqhInu4CmvKRBcJegbLDtT6Av9sBDomzlh1NPXAgp2P9xzIM4VmELMj6xDpb3rYrsrqgs+U5q1rWvvGwDz5hhvwGnucL6mFnKbAOazANO4JRdPFFrKxsK3HCY1wZ9OnnRTiwiV8W2Zj5OmQ9TntttAJmvwwEx9d3GP0qLCNFUZGZW0+t7rXTEH2kAXFL7e+OX1wyWV7LYZ6G5J8I/kIf/q+mUJawHYAFG2dhaVYc/CMo8GbCFIxUYXyjgumfMMS37+UqdwDmFZ0f1vz0j+lTII+98lwu1kQzfqzUOsDWJxp3C0y5+y8Pmngt1qUd/V1rTh5ntXLlnh4ccA3ZFp55DXpNhKspboyfd9MtRdcaff6ag2+70f7VzTqUJ5B+NjRcc5Prz0eIXIbhb6zjJd3iHDfdj+tDYeJJCppWZ2+qaO+hZsoLdgHMhvP6959wnR8ubTgx4NdOeoP5eQuxk9vSqPzyARuqSQvOcoYXZ3MwTqp49+pCjAVO+ckvtmrHlQrRRvTN+PrgF7Y6f8TBwK+f7G7FaR7B4gX0JfH0JzIw1QMJQ5vPS9PNLp3iSte8kNHsifoP85wK/XHI3eUhX70/9lEF+Bf6EJ+a2X7n992G8ZBOulucMlJVoZmYvAt9IdmZu2LRAjrhlYmtqSI65NnvFf907fCvmuViQW0L9Gxd6kgXambjOHRWTYNKUx/dm9S+l+3nh0aQFCtxqJ8Omx+/12PbAQVwzfyoHLQN7MwV+U5JOmrvSGTSh3/S/fdmQb3CaW3qp2Bw3oA2yzvdqW5JGzH0OWtZ4/tN+smjvfZcrlpADFhX5ab2Lzez4HHABNdFf62g3bg6KvxnwRmh+fHqdahRS+xc3dqCl19wheS3sA2CzieEV8BGezWapekhTlofTcHJT4wfjaAjQqW0if/ecwPK4Ls+7qUgmqjBzBbBtZvjlFAQ/ku+nAOuyl6/ag5kDXyq5rMw9WD0C0x+wrLq2IxzxLJ9/0lC+GY+HZCRuhfAVr5LgLkYHKy6VyTOAKxknZtZamyPgmb25R2K3xNYiH7jMnO3Ld84i4d0GbPbNOVJptRVe46gEbYw5emtCWcF7XwDrLcr9JSkmyQX6bljb4xBnpUPO1WN7JIU/1MCBQGOyRvtDNaip4u0bYGsEevnVT/RWuygA9rE5vf/xSJ8BRv99yK9tVQ8Svu+Uy52ZitDOeCyNxwJgBH6H9Zhwf/Yom/3cWboaBRsW+X4TyWPFEc2HbQhcyYW9lAv6O1cauFkbV4xMkJNI0k8XUegDaJYH1ryiXXxPduibBaZ/QPrPnhnEj8/60Q4nzQ7t0h0C6oQu8J1cEmJOLcsCXXRubAWx3toQe6/aA8/o/dpNLtQlFuyPHPL5D0dyEFFvVwUOeT/FmY7PJUc2s/2I08A5WBrzNbvjvh2Ab2SEIZIz3QEvwbCmCdPP2UgXFSw0+Z/vt2YO2py0RImp4bDxPucc+Kz+AAYfSTve4eDPhRhs5L2ZsSKVMD5JmCvL21WFj1Qnj6Wjq7wjHzkw6oP1ecmjZKkF4HhBNqqYfr3gyNqvWW9MQYFfAGetQS/h3ktkVG6U3t9Z34qy8HnZbx54fE4l/yZI/0D+OgLtBJ6135SaR6d8LiqWge43fWvyXu+ASPXSAq31Ols+MIZMr+Axo77PbOKJoQVcIQI0hdGW7wL0GvDvjhdtZu7I8x5ei5FHZWYyAn86GV1iekzQZGZYf9cj82BtKXBpxPW/O+QXZ6v6+J6tgKNBG9Th9F1Hyj7t2n3WIwIx8J4U7QC5yodYYlVwvoMKdqsAUxlpYe6+GdC/TJjacbLW4fY7c/TMuY8rRy85bQ/M/p2DYDW2fzwJ9UhAK0L+/0rMGRDFHeSYYxXuPSKwrgb9k9PYpwF5a4L4gyJpZpND7DdWxqTx7AKtuHcbxnfAbW/JiA7AqwRG/ION/FUrcjF3XwcbHYlGY45AS4YKZ6OfG69yWEOWOBtYvxipQQ600HNtkTcebh26i+N8bD9S08MZ4Dcabi0W/b1T4G01g/xXnG+Nq45sbX/PYHnx1+NRZuNOekm//a7XzDKzb+pC3Thb3uD1ATPQGThvkoDWMTNJQKcGpVC3BPXu0fbtZDxvgF/6ufFSDJedGryWfW0LYs3AfX/vEOfSMr77iBmPv1No4xNtbing/cFZvit2vdCVrarz7brAq5mfpqw/Tr1+3pRAxxPgT4NQeNKfjtSmBqAF7h/fq2Ha5CvwkGBbmNd99d2ULjmzlbSKxfAc4yQRXicC7yunsqAWloL7G8jyewn4YTySYd/eAVOvSWhf/udJXzpquN5BP09Zv00zpi3BzNxrNDVd/MopjDkqPVroXNp/N/kOybRQYz76e5AioKEI5HXs5fZ5KV29wJP+EUPscdN7W5hetOmQhpD/orhnu7ZPwpZIp6UNj+nzTJC2WfN4nc9fTW3IA3/NthAL5OW4bTT6oc7nKnZkZiOO6y42nmQZYJcvBn7MBjuivHSYmDNpTXfp8oLYpp8Uj2yYxhJ0PdcTYzt0xux+Uzp+8cNWds1y+tqamSUPVWDjW5plxm/S0lyE3kA6w6PjMw63b1j/dZXx8NXKM55z2PqzUvFnUeGfG+hsBLER5V9bJy2mgnVkb/w7xTi97hCD0+7TA/5nKtMdTo1L9FLlI59qy6NJP98AZW6s4DvcM68ZSWr86oErPcxcCe6onRB3wCHiJDbaQMx/q9DrDdeitpm3214T8b/aA+AMjybffpi5VP/8lpWTR4BJzPSSoxhHBEM+yuqBV6C1fpp+kswl3ydBkPiaKeW6wEyCfjETDOIf0BE+7Rk8HwxPNbMS0PmvO0QezGaGCG8G/W3mU+ZiseH7eCqKGaE4BQ5g7pMrsvpHodVUi82jCU3PEPETB92UDc/Knkwft6ljSekYW/DnA/7NPtlBvrLa1/yUSxNNb3Qld+CrVr6CFre89tR7WgTzO2Avy5yYSa4jeC3gTCVEW/nsdUrft0Ma6LEJ2x/u+m9JaK0ZszbGW5P1cqpsPlXGO3xtX54YQSb21tEFPmeMxczsmAGQzko8wQCgKD5nfXbD+fUCeilQAngJw/CHg45Egn39uQHnS15eO4T631Kbe9mWGA8E0IuG7bzuv1q146PUqM3caWKG8w08xvD/Pe+vNP7BKyBoRHRFfdlY+pa+z5oH0pNDAnn786IAn/InRhE/L3iJV4XxiET5tf1IqP5O2eZVO3chRbkC3/Hlyh7VjvzUDmhDl+x5iAV7/LmrXe8CXyFHZ0kq0bok6BcGXEcGxnkn/k5Ar2TD50Jc9YaZSk8Mx8paMGDElInGI9GvTvFwP3UUcBC4/8oHfeFFAFw9vjOm38iovwmbQQvgvALeznfkBtotyXVpMcZNT3OghvhRAy/nzO4q4QWw10CfAtEI55/MMjXa8wvnI6nbzcHVH2lELkcnPudivldGM5p5lhrdOW3PdWRmljR2JWzKVuP1jQyf2gEXxLkT+yJKQN/7Pu/ja27hBGtkJiHmeY/FqV9e7xVXkXo7RWRXD8EtR/ioAuyYniwgQ6kQfx6AffuTqQM15z2BN5+Mzhw8DPqc4eH+qK0ppmLpTgIPtcPzJCR7yc52Hm6F8X3FVP/WOZBo/6BUUdAK8DkA99w2yoDfmhr4bCTz0fFCpvWGM3WujX8IaOjckh81ix/Y3d+VuN9PI7pRyFrS4NQKOUFMZs4uqYdmQx394vM/wtzBAnesRVzA63uqUF4y4L4R3pGYGXdM305ia4G+Aw4H/94OHqDx3mtb5WXBnFM/swqwXhR/7ZTZm1MP1Hac3nPN72zY2MA7fl410kc7c+Ugv5K1d2ozJxJpSWHPycCbajaDlt1fToj4EHVXoduCdwhWoXTT/Gqr9a/XCNuG73OuEZ54MPV05TMOZ15Zs6Qrsjj635kD6KANC4JL4rLN0dFeNcZ742OnojbMBn7IR+RjsbyrFXSuBbi/U9lzdjBwRxm0Sba2TrKLR/iT1noy5Q5TY5kaEmmLfjoIRl5aT0rYW7nVW6dgiYGj3OBnzmGNB+BoZ8jf14SZeQPlRVmwL0dEWJ9t6M5vq55/JYJ/p6iF9WxcGUnQQXwvBGIVW2bm6o7D8yVh86o/lNT230UI8bfy1PRrpkJfuSZV2W9X2ekJ1rbMemCZgK8nbrzV7Ja67WpmjGYWgmev3mqKvINDbs2KLWXNH6rYbyAH3SvdvrPQ/p1724DMqPh5oxw0ysETjetXUuydyooDKfBVoVjXA4mAv52lAG7Z8ZxYCnigQskqz4TxjCLlAg/cGA6iHDttBlPHA3xNqwXe/aUd1soydfP6i4M2Kk3fYMhz2hM3N/N/du2H8W2QvY7rxwwxZPpv7RL4TPXkimxKRNTGIiB5JcgOdFwnxPQA1YGI7UvgQGf4PK9zm/PBZU7GFD1p1TXDgiszYyafSW4bL1HtUhaseIjXfFSgr1ACPPBSrf5EB9jz7idw95mQAnhyoTeZ9n3VxSOoxEe+tjNE8o4/5hceFkebfMFzcZPBMjPKNyX8hI7GI3Rb8CjZpOHVys1sattfJNtDDLVOSjEqnc8ld/0NsTXgDr6AdkvLYXODvFDQ3g5Lm7dSZw7olhdGdZSRBQ/6RlECmE4Mh76V7vmijGdCvq2SSN2Bl/VV//TE6My86zqwrXqnHqUD2Gk8XoUKUqTSjJoZrfJGewQ8xKuScMGN++sVjFWHfwBd7Px3voMejKckGZYQ1v/52qTXFgG9TQI0K1ffxKAL4ExE9NZDWfs78HrA9SUH7cxrxzN95m+Hx/Ybj/Kd7H49uKyEA28Pl4gz655TbO4/FxqYueP9Utnq3fhSwHNY5ZgspTB3oe1ZBtx4Rk9sYFbTY1eG2w+TW49ubwkzL8yVmuz6W8V9UVHy0l/Al8mt6hRgP2nzAnl1PgOmajMX5wdyic1GzU5cm3nkJcSuVmI2c58uadiYWZMfOTWnoc/ZdR3wyageY6JC/qO08YYnN67Ri0ddmI0O9cj7E3CVpgtuwLFI1rc2xK6JUyfPZ5FG/MB6TLJBrqSTDuuUI3fcSdYEYjpbBCqNLzszc3dhL6fKnYomAEYMH7lh5csPdpMP/Zq40m3e5/Ik2JLmfyzqTHFS9Hehien1esAevnDIWZUbLydxvRxsfwZu0qshsyEvW0mHPOzIG9up+0n3Lg9lL9Bk5ir7bFhevPeGWfwBsR8zNm0aMXWl20KC8C6yXzTvTE3VBLiebUoOCGCjXRXaLDf3P879IYR260AxWDHEQQPA++6zrh1IoeAZtIDVsW46/Do/dIEb7UA7rALhAjSwpkH7kQRxSiFv0a5fT8BDiDPTXMfA34w3C3kngBXsMZfEnb6ApzHRA+ZHwNUde8bAI0ubgFZRHYnKO9/9fWGUVFTfqq8/ayokawQJKosTHJARck/RcPn8XM+ZW9bmgc3UJGpmOu3XzG0vdW9ZOGgvR9eP8g5/iV5/sAHNzdCaGjjQYvME2vKlv65ZP/UV1Shh81H06F2OWIB26lXHMQuXtrHJLB9bO0FqMr5UTPxZyw54nFOuyo2N3/8Hs9UHcUCzsvl6hOioQm58rSD39B4P/+d1Lyi5Qr6OU4Tc3DJztNofFvK9EtZddr6uOrQA1i/GI0s9eVp2Yc4s2CDHgyUfgAtjAprupH0EGgbVtpwyJ3hUmnzRAv3gqHnhoekfn3PdhqUpVRvIAVP0UbpTzPkUAi9P+LPnmAumW3gGmIH+2cD7PlRvB+WKn9hd9o2nhuQC+5HiqO2rx9XG7zO8n8KUzb/1GwlTDnDhH2k8nMZmk/XkrvgUAGZp0JEh4SXgl5K0gNzTxX2DpudZ26mLW9jbHzVPHnJoceK0B/WYvznzVhUpnqwMNF9vpWh69bWt5iyUhZmd0n4BXBjUsFwrF/DX4mfgM+8csL0C3psPaiYOep6p147+Buz5yBjElTW5eaA7aWFUgY40fdtVxPM0mBfITcA38Ot8/sgDdSQOPzRMisT+3PBIZbnAJHHmidnTIIGLMru9nCJk/IeTVEyHE0cX2Jtvin5epEBfpk6QOHGBdezlrhpVb/zD9XqE/FaxP6+9YZ2AiTdamnltDuRwDHscdIT/Ze65MqFZZbRz5PenkByxzaVaM0Cmp3/akg3GY+zP0nTNmq8Y8oCXNzbwOMQvBGV2TeUtH35nqXcUYioPgPcHfK5WyUWh2lPw6WHBjQ8qkk67mt7wuti7dMDfEDuyZF6qgpaxcNub/k3QAtdmQFElzJwC//A800OgNZlyAdNfvLdqIAQg74D+mYFnTx+U/30wS2XSBtXnqg/gYhNwrQfnHD/v/AcvyVkD34WnlMru6Jg+t60DvP+rHP19A7qM2MG9CuGZ0DjlCL3uK3U2Ioev6G5mA9eRv+MUs9NIbsA3MjoswNuV6adYuR0sKSNx3nOPcTmeAn0vGZ8YB80xArfpvSDf6Stw1wXbk1cJuctDzEGX/tZwHlZ2OVg4PAVtaM7ITqEXQ07XKkAVcDjg8Rv7NODixMk3R72dBirIOnjtSH+YWXB4ACwN5qQZ/TNBfyH2klujtayYranpkXd/+1MORHg75eIYdJnpK3n2oHJzHRngXFrb91oHTo6muLK1mcf53hTABRzcSeBHHOmSDslyiky9znVTM17CntoLLX8aF3ifw2MuyP+7GzU+3zGrTR0g5MmSmzrdZIFc2IH22WH3vCaOBzmRO8zSM3aIqdHMa3h5ilAK+tWmfLpXEX5AzHmUtaaGV+dhC4jCz6dhfnFs1Pw77z1QyoBf4Bvv1cIhnktu6tyn71OnJhyoneziMxflPeV7Wxb4kDMOOL8w1nOZvG/bU369qQ641LBN+Qjc2WojFbC7HObX2TKvUHtVO2CC8FlYH3/UkXyeu5TFREUfI+AUMtnpoBE8OAWqzbjxPbQJDjdOrWMMn3tPxdyWYhsCLpj66y6hMU+CZx9akHe/2Ct5P2lQozczK6+x+TtlyhJjnJm5gfXX1TMz7tNCgs6Uz75z4BugQ5FlejelA3zS4V+AvYsSwKVWmSad6nPOL2rATumqW9VvX7U9po51yCNMj66cq7B9z01voCgt2LcAydOj3pUec+B3nORytNCG0f5ytPl3adkj3yHH+PsnoY6M1wTw+fhoKZ2CRmaOBDyF/ebMr7sb4Ia2j9fAPo08oRxhNvppZrWG4QFl1N6zNvF9u8tstpwoNv1nbyX3L0JP/7wEAUeAM7VybGGFZUesLaj7CTSpLSEO9kno/fZKA69IMfDbWmwuHJEPQD8hVxxjjTomuJlJNQF+Y6NP8tB4PE03KkB/7OS+XGWQA8aB3oa8mdzM7NnEls/cKjS6JSPoQdArLw7ARpWyIpa4B/4ogAM7AAtFaRtPAeAtOKOxW3ex2zCbcx3/VDudJlE7Ux1bxlvxZPzjXX8qB+vCQuPPEN9xkdzqrvdydrdk8KtTXBIlwIvttDJ9+WwuSKcH1rXGs/bMQUfywMN0uIL237qArYeT8dMOPx1m44U7f5Za/LFOKD5WwWzqgo5UbBkTLaaiHanxhliJ/9LmgC+V4NNbNmLGd+0hFcuOcbzJu5g1tL9nDv94zsQL7BusQ0fCLfCD/SNh8r/7ElA/goOGajPGYJGGOXzOGwv5wAIvBa75mkP3aNgC+GxqyWyPaUyUtSWZrasqsBnwie9ksNu6PzugPc5Y+wsr/A3sI1gpyD+mxtTxIIeamenxEY9sowK5z3c4BD0dK1sFpZhetXPHox1HmQ1an8Zn43mQWUtUwzMDvRsYz1wGiqR2cQ7f5y3p+0UWxnsccIPuLbrTrLZxDzlhD/Exg0a/V0geSYizjNm+mUkDH/F1d9MRE7+jYvXgHalL3mHv7SBv8BrWKnN1kjnIzNkydcwRvP9V9lPBIt8CfpcBx/g2d6WgEmzjKwr/HZi/Ez4ZX9wCck0FXOzF523Qq19qxBqvjakrX7gmE+76Wxp4Ey2ClUQ8xvB9qgG0EI8d/JglBd5e9a3TrGrGhdbwOZNqbMekn9cTqNcThxw7bHP1tc2l/dvXlpp5igypHejcDjDkLgMM2mR6HB3Ma+AMJfCaKvKPp2hvE0ddRMBxUnBJ861zQnLPnpxr8XChOmq1AeyFPrGNVw5m2PiEd68Z8fO3RK0wHnWAe6WIsMg7BY+RbxJYt8pSH/VI9sCfZ8g7ELfzd2bH7zWL/YOL8pNozUz36RTqneyBs2j9UYfevramgLta1KBdmp68zvRMXclFUvhWThylRXk/OPc7rOt3HeIVePMbtv5YCshbM+5dbOpVTc2JIDlwn/eqaOA1TE9WXNZWWyUMC8j9D9gWm5ySG+DcBXTBi28Epl4T+M5ZuijJVz6pHuLL2rLE+D8CnTgFtg+628OR+qChjgH7bWy3BzML8YRwaWY8mXmz+eANomh14maw7u3e1KPkDI9C/9aLUmknwIXl5dSjGHjKA/icudunRFwh35K20bw9IX4T+tMrnZZDbpfA7wvR+fD9rUuyBo7Sexs4BDZnMfUOA5cFLl8knpnTp2z/xQGs5Gsrj4DNtMcI2NYMeNHnGmLTsnXd89D4qB3twHr1vfG+vFCHaKCCEWMxTqg/V4ONqUVATW1NH2pMbP0DP9tlBXye/827mbgIFjrMHR48XQ5/HCJmyFvxper8kLvtV2XL/DRi4MCzOTN1gBd+UPfvo6Z+ARjay0EemoBkjcPf4GdXwhBLgv1CunhvzrdKzl89WfuqYxtmzQ4f1XiiwDGAYxKWLTKIj0Js3zBtgb9eN1zzyfBW4EklteE7AO+n1MzwxlOtmfvyIal70Bph4AAvvVc8sU+R/zrf8IAvuFWfrI0DyBKa3rD+RjisS74lNCSwmjz7148yrTj48+wjPVEOmZ7duWi/jmuzEV/zmwLeS1y9NtZ8zd2pE4XegTYIKvu3r+2CQ9DtkB1r3RuOUNI+sCX3fdafN6XlmVqqtOwg1kN+4x3uk95y6jW4pWJvH0HRQd5fGY8pBb0ihziE7/mW94D3gFGgPUkubPRbH1Xg6uCqJA88p+7JogDjD07rJsDX5MpbCdEPeDQp67rCk/NTZt2f8/UoX5/8UbSZLEjOC3QFLPjKecsqgbODIyE+9Xe6a399lgBzpsomB9iziYlhPk7HnP1Za3syPtptHSLY/3aKO0XogN7xgLuUqjsRWwmfaUyGWYouWRQ1vj0ceD7aJdGU56NvPL28RP/eEwGfbfccTU7KWpkj2K9rXFFrvhDW2yVDpg/mmhe9lxl/TQsZf0njOUkEknMa9oA5SlTBH7sW1zvsZTcV7HZ0PM4teZdc7yl/1QNcrWZsFxGYWYr42rxfL8mwVNiWruKxZ2Y95cB5jw6oo76B/Ys3ol+MruzqgQS1Q77UrtwwB4WM+0i9G24bh5kgO+a0iDy2m8T5vTc/NJH8N0dzjQ9JOL8TS3qJ2ILG8gI2oly6oCOZnQLuwNpwiD9l1zuSkoL0kMd/vcnIsPxwxg/HNZYQ2/bTx24gX00oz7+5UnwCQVJYCGTREfKe3W+oc3Uw4lUyTCJztvm/vp9PS4Z4JsVk8m1CAJMbATnU5teazV8UuLxykoW7SNT6fJc7/QOYTo3f+0s7nDgPJZviE58i4IHATZYQF8ZfXGYs2H6YfjLsyD08RV6ufz3jD3Hq54eA/Zf3uDU+TYmwbwmVjoDMAnuTNvC9m9C+82ABDbf/7Q1Uon/wFbPKsmdl5s/SOKt6DE8KuZB3r6UFexzpL3PWkLDtexqSPHebCy/Ojui3d/41jyntvaOpvYC9YWr9MZJX7k5rHpg5m/yF8/eTqfsZArt0yw3t+SOxNuupi4fG/XTTSI+wvgvkG+vU28Epn98OjncA/QHPFpjrDpeKtX1G2VoNnpm3Uij7vKlcZPovpsohPTyDV027mUUOuq28E/j8gBGitv+upDPzQ+4Wc9tNXUw5hjjL3PaQ9yRvLDuvR64ramoWm1sDmi4BXsDeZ1On+o2pvpEedAzlsB7eUq6//tgxddX09Aa22o7TT4fwz3s16jwDPCd965UiuYhdfC11/4DYkJDnHcihMWjWFX4XNCc5JJDzc9A+sMamJ+ijipQnzRmow68KQvPF55MI9Fpvb1ix98qVB6KIu5LG34C3Zz6A3gu3I7M84/cySdA8lcUDHPnfTaR/cLBZgFdOZhYg5hh4jr41DrCjnZ+mu+Qh3+eh2pHX9wJdv98wG/B8TS7lsCyV1cIzIoEKyZmYc7WR70XffgDHOODo7yXvdFyywKrf/9yMHxV732aq24MO5jl+zsvBPHPmAvTwq/7wNaPQA150TsxsnMLUw0lSW+WdOn/uR8feCe1n1er7HDAL8PomRWyZGUCAEwNHbaJ28TeE2oNZ/EuGylP/7hKOabg9nnryUQVeLK3+t6a9dDzTS1WdUFuBfmGgfYaS6bfSQVX+vn2DfU3KTr4Zb+PSNT0swEMscpYrimBfvCVDYuUrsStrjmsLHwhbAtPHIYRlq3ACrvO/OY8CuGI59I+jTb5r1I7MRgj43cidBTeovCsNNMtFnNnmzvBzpbv+lr/P2Ym1AvbDvg6wIDZQibDdSMhbmdiKRkw4Ee175uCfZid/779oQPzE8tzSevoE3ukoLdgvFcTCuXIb25xBSuNN26mosbSbBo3xB2srM9O5k+dG2C2JnnM1KWeQv5m5h1umpIBcFn0C5v/Oer4B/7zV4dUxM4KNdwd5zgeIdb3zryktPTFCvmfyR1FV1pQAm5keJxr3Eil+4jGrov0m3TU3yNheqT+XxPEs2FcDPPsAqGd7dJbfvJyg1gUd+GFmftBiMj4IN7XTTu36F8CRqHHKez3Krnq/3hs2o1qYM4z2QGjm5Q52QcPq0jX9V1OKgWuZ2v48/LNJ+vYBvGNN0YvbXE3NX1X2U1tHPjX3IeUYo3wtL2mo7rTI7lKoq/E5q8x8OHb2Trq/E7a3If/+kEKXfPUHtoPPVWACeRw4MPqpe+95n3IqUMFZ+9LLQTJcF8jFb/CMvsznSHamTgIHiSN7GvkpDbZvzSqBG8Y/dNd4oOeOCZeXkgeWGrM7FhNoMHzgdrzJ1/iuhsytQ41OZh8Yv/J++fXvLTUB3MSPkksz59uc0XDACA3619x9xTmPRzlsHMlNTf+8ykJ9nwbj0wBcTaM3c88O2JJVXfagGi9Mx08P5AR06Mn4KPdYv3AD4jRmbHnQEeIk0htu6p6Yup3MDNV8+7znAy7cUcEhT8G/0eXTHzEJtjdafFqq6DewjybIrXG9YxcW2CkPrx6LdFEWZ4gR9trzMw6lRfpZmjkzgkv7vzM+44Fc4XCz4F27wTZhoJHu9ZCtvPvvbAs0q3TQrgaNi4f4O9/5O0abG0f7hxLbnYI9TGns593f31wpeHvFtAH99fTnkpml7wnCHnDklosFODSZnvcEw34Bzi4Umi5N0YYVa+xsjd9z4c042OY1e9YdZXl0tirr/ki5/4Xdqais6eVh0uacbE5RW4pAfgAXA869hbVVgq1xnrPn2ckPDZK7Ap7JVn9DaX9JxZQ9vZ1hH7Bw/lGrvoAaCUlvf+d8spJOZ8DpcojtK+n0a27gWfLmkrG7q7SZg5Zt6Nef+8F4ZPPpQfspAi144UJfGre/0NB+g9hezXxtaesDhzxZMrXP3/+4wFWTsuMrYPVCHdg7nXKBB0G++j37Muc2IR+Wd7karwcUJGvpYsBWCiyAOWdLAg8UgdeTYfvNIrUphxlBnjO+uDeBUMQLjNVjDhqhVipk2YTmXh0Ep/i8yV22SfNfLwIM+zgDDXdkxVSIwg9rN9scHWCt/dkGLvOaxVIBN//glO/J6K/YRkB8txS0VMwpQRWfgNBrUzf2Vo9T1YRLq6w5AlxngJXR6+4GqHQLubNLInI7rNkC/Pwsen1QqHmwQkf/ZliTXlH8ka0BbBYVNI7eNGvslZx4rEdf1ChY01s/xu+nXn7TndyVjD3YiM053Wu9kgb0vByAi6/4De/w1LDe1FeCltgWEqKw0hKw33docd6kETx/7UOOx20GzASH02QYgTl3yqnsiPFogLg4CT6Y2vA6ms7J+qsd7orZM4eckA/mFEW+NwMvyLM2P7tUO//D8Hpqyy9zT04QjgQI+9M4hfCUPziT8JnigxDeAtrjgV3JT4UqzJysU7AEZNc7nG1fGPUDPOsnG1pX7lSaR6Svw0WL0K5SIavk8cdJ8u0+YUvacFSdnjPx0JRbyeVgbQ8Q78avvDAz4XGYAV7/q4+q+gV4KMGyMJ6GvzXtqbQB5yDXkFBWKeeQy/EV8H5f2VPaBPMXH2K3LNruFPzzxBD9FFeihHhFbTYg4HHA3QNOcGj6+PVGQZ4GTLk2O3WEZzo1jv3S5oHxziCuX9WBnWPt2+Vgj2mIP0CbnrNeMwK6FdYE9G075wOS+Au4PJ9G0Xsocc4bFmDCu8AGfdkCbzjwaMrUY4vTYHrA5yLAn19zYeyG+nHGWyAUvffsueltc8bqsrW8mRkKtQV7bZWmd2+XMuSk+XU1Pmb51zYzNdyncMbZyPMT21IspGO8xviqesC+BDTbWonf2tTbyZxPO6jLvmbNdAufE/U8nzP4nSNbtZ0Al8JMs3LMHkdnupKhtHFA3ivgbgnkNWkBh4i0BJ4hVN8y1i8TtXBFbf1R9Y1TW95L631XHLkpAi6EPhcSbGcVmVnEtouDAD5zGyZd6zXIv+BA+82uB2yYUbLjE6x7yiCXksB+o2bOY7BE+bAc60F5TKuVAV/PeGz6Y1999K4KG8AyZMlousPzE0mHFmoHC+TQGHKoL5j3XnXtTxVq0JAYQc42/tlBNQDP7UELON4Mcd3lfWzzUc+AeSanAj9HX03k72uNXvH1Ua8xoYzfgdduQId840Ff8oHzZCcP9drOKY+LCp7lc+5tQTLRXzdU2LZyS484pl+dv+EQx2TUNi+0I7s4Vr39gSEfSQ4xX7S/fkRHW2u2k19sQHtQ1Juat4vxcWvs/aPuWtNKa1XhIhOO6GlHBk7xt4k7Cl/9NPzzkuDGy1AAXq7+WDs2xB+6U7F3QB+9Jdr/rx/26mJmX0wH+EmAnIZ9zrr+wpDf5j2/AWfYVUMDmmICbk+SbCQRcLErtf64yQgYT/8uspfxK48zDs+akkvK5UI7hAFrnnffr/iCXPKR9JtVjP5dcn7JI38xZyR0mKzm2YM7hWURA9/5NHU9wK1IT4IAfqdxeW8DfoKORHyEfQHfUX/VwoN1R8BXSUfyuZAF/vUjqoP2AnzhzfQUJKFqsdU8VDi3CsnZ1JHJIHDN2XPK7FUFMTuBNkqYDXufMwL7GrjNg4nerte/G27jNw7848RVnjlbkQlFWT9Pr7sAyrQHXEsaHXkazysbyLuEvFqvPKMdN14imA0aE6fZ5IAJlU2O2eo/4L2+0gC9Sd7fBfePPNxArHKP22RXIbSK9/lDUOykoffy33COlkxBK1xOxr8f/i3j6r2ySMQ6lFYRcfHqB3WnkAjLS7Pj55yRBDT71wn2KQmaO2Nqhjx2PDr4xrkfmd4P5sgd6Mwb5EssaXL7zV9cInNWVTGc00L+SPsMz3VzERq49igvCnAkW1FVc5JhZ3tunOVI7HajRjWDbjez/QIegp50ybdcdVbayjN1fKDMH9Vu77LxVat/dbDAcWpylG7XE4oPiYafR/pIufaYmC41xAjn2Hj5HkEbrJWevuERgO4FFAjwPhMEn0KN6drfgId8kLAdy25/YbvsAvvrArj0O3McNNdb48ZJ5rSksduCdKgHfLlR0zMDuYd1bX8ADZ1YvaUsciQOHuv37bFmCDSnZ+ZvsAPwE9ARVsr2D74iM0/RbqztzIKzzQfvxQEc3klmcngmjH8FPkJOShIzs7UrH8lwd06Rb2onNxQlN9EBH+i9uwo90z+CZE8wfzf9B2gH+iHN++VIB3U2vnRlj3bK5QnolVd9VMUGNeeunFQ/46Zv08yCmIziGT7zeGKmzknuThFwrHx+PzhyPJmZ4B25VN3TY46wPh5roSULp0tuzS3XMmcrQs8zdpsnOPz1qXg3Hqegkzegt0pGJSu5nwtmanXOLuQZPwXqnz574dhau5/A+fnu2dPfk7fj2l7IWq5VoS+VM3PYQxnvNcdcflROfDdz6/LBfmnzWVne+I+vW8DDdFU/f75xgF/vTiF8fsf+Ucx4z8aLGk0ulO/KRvtnb7Tx+HOuN26prLbKR83/Lrml30yF1Sn0MA+3kSjIS+ullcsd0B3Y+Gxn49/70ZovpR2DflQB8E6W7rKb8YJkZs5O4T95UhJK0YTB5WhNFQuuGwK/cwL9mbPJJ/AsxOBlJbNugFfZcfVfz9DPHtfb0SKH46qRfN/mJERfgLO+KLCTo/3l6E5j+fXnArpxYcH+xqJmkzy237XIXLn6a7pTUSNKpwmmmARyqWw/JC5oRtA+Kfr7wNb9d4Z1M7DbaYA4KfxvblkXaua1riQk5jMOLSCtOTcj7xT4qrQkyXfkB4dmjipoeAuP3NpWoHEusOcYaIV73ZvZ1Y0HaxlX73+W06BeeAjYaGqr4uTUQUx1n/YJ1qG2n/PATM3YruzNaVV8Nf2j1GkziGcCMR/D9+gAS45VoK5Nz6NUoIAMcZo73k/e/3nwIFgBD63Euf/2f+GQRPXqIyFay/hNlh3SzQ61TQfct5ADrO3RzLeskRIVh9ixe8twfOA816Mrz0qTKCv0XfSgVRDqcifOpUb7nJ1XGZke3um3Vh9HsccHOSQcuxj2dD5MRcnjVO4Ct37iWeDlFrsRx7tj19SE8x3w6k0JOoaL+VkPAPzmQ9p8V0XNI2P22/Exb4BLwrM2+yYuXzpF7oCjBV4KnKIz/Bme/ztzgOQYnQn6ownbd/iOgE9bzMZ2T0yPzUiAl5HhFGhZfV1tiK975ZADQcBcOSfSmd26aFYB65fr6ZVTdoxh49E05c4WtCiH+FNEmT6HfplpGKfG40QCpvKAe8047cphe5ZsumUc+B/HJd2p+FkL6Urj3eYc7dZPaRsy+ndjzvjqsX31LiWZrVrgEz62/tyVyWFObM5xYo78Mu/lqEyvJ8VHCgwQ9uUt0a0HWu1AzflhFxufn6+aqrdkxT8KMFtBDiHB4poaacjhRVr81hHlclgsBs+FcVO3sBVNwbu6n1yI7VuCEKkZ+aLjXxc41QB6+5JDPjw4DHhJTCEne7XGkMettfyaE9MfBvslM3Pga2vxqh3aVR16nZnzxkWPo/3pHu0JtO31klltCjznw/SkHmx8oGIZQB8Bj//zIGPcHlw+HF2+qfVf09f8xIWactAcE5bheaOG60aubZTlEP/o7y0Z+AujhAozOwn4lANvqPvrAlo35e/zJEUcG5w2/Qw4alnNtmkNeJR/zdek8FtetJiYmdBCz/nYrBTFi7SAuzi4yMcpACzbk94u63B+8Xmb90b3njeS+sahoOP5NmJBZtPn+aiZb6nDoxXD9++dfMBJ1VsuXX3jEXVk4Qa05CfoOi+oH7PPdDwSZwF942PuEpn300dZ/M6H3YGOibFD3lW48XLaOCxYbo2DV9B/PAm2F9JPlAaxqd/xm2Fr1x1oboHunM1jJTxXfZn7U36sNDF9PgfAUpoJXjSWjniPl8YiLy76TpFqASckB4KRsvlAI3iWrN2diuTO3f3CrFkwx9ub+1hu5j4D5wPtFZ3GcpMNXpRHiCoEGMq0Vq7e149tRgokSlubPp5duerX2Zelgv5+sGbYC+SWWCqF9/2oIm2JKH7AWtm1gxzi6ps5a4f1Yzi8e3W3d5qxLQDnY3N/ZjwMYA8XkiMvH/QPpjJsiunCA/1O8+2rpoKaHj3SoxvRxKnt2PhXjrznKzz7/+7Jm0vWE1LtgNuF8yxDNdaIP6qIT7jTZb1q4111r4LtFWsU50NbVBR4EueVguxCAvSqTbXVzrePDpfAM39Og63LzvS2yFAyOwS9fwet9pwhZOZ0UIH31Y54uCfS9LXnQ3+RvepOw3wBvfNNHRKXfXv8V3vwvI/+f57VswfYkOUjeoO9UwnQolUfLMwGTvivz/qnGbMVP+Yj7peRPD2d1Lm0+Dfk1hh40E6J0gMdJShHB9AQS8I5/B1t4P0yOoDmhj+vOynIuRYGPYUfWw/bcUpX7GQ2DiH2kxP3rxL0L2foklH2UKsfSccrZcjWTGsEv3fIQYs3g9w3ReAcH1dHBIF1tLyP42OLVf7Hzh9/Xv16TkM/reedhSN/8GDi/2o/z1Df557Y/tCAFlCOOsiv6wYHNj468y7vmgejpdW4vunvIszM2R3NfBN/Y+ZEJTlwBMs+Qp7+zrvXTJPrDSNMDtaEs1HasC4ProHDRK0LHBj0HnbLL3N/AnuZaeOL6B5cXJZD6Zw65ML+640nQF1wMzMD9i18Vsc745CHwtSR7gInFex1d9OzcF7EGLiALfnRQS4O9UCNp4Wt3nDx6RIgvAfX7+kYr4mI34iNGPDPmLE4As6wmvod2A+HJAQOHH4a76tUDG0mu34lAp+x3bx6K1IZxsbn81pq0Bfup3OEeJQFsM3B8+Ej7SEObnk/ExWeH02w7XLECxbJ+dTLCvJvaebU1UG5UQ7sHJd/APffGC1BHOXmsJeyTr5w3qYseyg9nUsRW7V139SDTKmYCHNLWIPWBc3+nSD9TUaQKzZwDqoIZeZ3vB8iEpeJ2AXtUmTmXmaM93w0cyJVVYvWFuFSQV599cOufFDGAx7WSHXMuT+SMT5LvofMAZhnbX9gHYhE+C2l2eMkIE5XQtLi/Hj6TJt5X2xr8QH0OuMTaFFmzpX+39xBinvrlVO+q57kpw7fcuN5wMm1cXFbjtNg6o1LKz6DNjfBsxFcRqqYPnLjHLXTdh3isur7DWAsZZbHleZXwDDHeCjnTmI8ev6dezu/M+IPjSP3p52mauBX5uqw7tkG8u87/DcBknmDdT7UvX08seXQ9N7B+KqSXbLIAu0rJ7AFB/3tgqpaQSv2W9BTWmaw14AzrqXx63Bfc82ud+5MyNS5cohRZm2Am8ifiuohZdupDsitjvBMzdl3x/c5fINqmKKUJvdmAD4EOfnU+QcC+ScfFpKNysx8t+iYmdmnS1nEOY/Qq46oqrsAOANz6r6/Ycf+OgKDNPeU0opd6XxeiChvuN/fTkFm7ugyrGMOei1WhuM//lgNaL3UzDtd9w/AmrfSzLot9JVTZRveaOb8vbTDCVAhD4EriPNaD9M3D+WN9UpQK7ZwNF1lIcsTQCRDpfGYPQCG7KqC84a3c27HlkI4TLnpzbHPtdMexKg+ci2T2gUZrrMbteR//Q7ziE3PVqcsc79sPLpK4PVCeBa2QO/RuOBj22HmLQms3UnHe+AymxOSR8CUWInpR3FssQH4dUeqrOdUum1aWWxTauOtDVty1S9++JZptihnnvPQa5O1uVF3OjOK/3lV7WLb+I7X7HyR+vzgw3I2joGyY6sYefmvZ6t3ypH4pQhWozsaK7gdbGSzYBvhURcqUK/zjXvGlfFvSsSARvgDEEey046siel/YVN0ivDXMx9RnCoHD8n691a7/hvvt8dUtBU3ddeF2pQUJ2m+/TlapXXqIS+Ocm2GxKl1+7pP6ViX2XKMq0bLqDSxNZAPKSSrLV4Cnv03y6pNIFfBPocYoKbP19RNqD3gLOCkb4E+YpWDv0FrPKqAVGmo307BzEGnPQT9+8LeDxJ6O9jDa8OzBT7b3nhbkoHkaZGZGRnPPl8RfcKe2jilgL0ueCJXfWhM72CoD4A5m2rUO3gGEkd/IY+DBmQYNBXKm9Hv8/H3jkMShgHv1DvwjQ/ZT89aHRbqC+xFiIM5yAYMmmUb5MBhgZM++/dkby2AEziNyKre54qGemQ9uiqIhSbCD85M3dWWVSuXxg/7v1jeNG6wweivk48qPjg2ZkULyjuzcmcydxoY1vKD7iCO9fRecX+jXBVlNK5q2CsV5GnALQvbKgStDdg3fVPaLBQ494npgJh6TP6a1XK9AMeAlTKxXnpH63NzAmVyovghxee9hixRCuMX0H4kgG95ELegsSYcbHcZm+N6JRnf4evz70XmAVebEjYbvz8L9gY2OKDY7xwEMy9nbqzkQSPf3BuskL9N32tAo1g3a2xV4mpJ7kM+NnqTTMaLMe/blo+fG8BmCVhRgTbc0EDzCk2jYtJlZk5P4e/psATSSX5nWEO+z4yTueqvt8q5OsDtLnWP3MrlXzyY0lM+/yhW2oCr7KQBhJ2zVbP+nljx24ljVDGOQB+uNFh2OCLPu7nckl1D0QdoQ0Zs/NobP6ABQTf1LlnlOzzbteITqBh4lsLeSK67yjVndb536uKCjcAVQx7kzBwkqTyzMGlY62ObWImF/IRtlpOYixNFtOnh/UBf1F/X1zlAK3scHCD3Z06b1ELH1MVxOSYWiZ7eK8/6UBlNuYwa4HqAXAODODcziUx90x+vcjwke5vj4e4xRx9zgSrQyzIJ1A/pTK8/enlIvueaGMzIOVDL0rK/MmuzAV06JJa+ENAO3DrfAJO850yvwucVax48aL+JEziN0Ee600MVwPpAQq7yP2sSSuCPsfEkTBI2jZXz4tjXDWAXaCTu1iM/0nz+LrkfwJ64l6B9WTQ5FOIqDeWZmXKoXnKmyRVwxKdIO8zBb6W1wB5EoGV0B7rObSzT9z0X2AUVOaKMdL8zuR6nHY9q7mNq2W+0OF9A12cngS95H9/zwbNBhzNTh5fY3PiAHEuHn0UUGP+0ogRcIOEWJx0BJjHn9WBm7UyPejw/YL/9JAM6sl/v9KvF2eYhQ+8LI/Jg2t+DDqKmR7gUtt0gVUoL3Zk7+cBHtCgQPg36Q614TCPfes7uDpP1tGt/nnV0wpy3TBuOzksVIF/s4Hl//d4vX7FVLiUDxSnsoNZmzhUx2jyrQhxXY3nBg4K4tR/SeBQx9KZCz8ZOD0+ImFqNlXfxLmfbQFH8pf7NKY5A84WGzwOWvNGvPy/tcD99bd8pb3OIySwxnmKU32vAlQqhhEA8UWe6VWwbGs1IkZQEoRbWL6iCwDGzEVS/XEsauwyxFTDU5ch36kK3kPNMrT1nX9vhdaaXht4ld1tzpwm5kE+Ctm/1jvBaQLyEbSULtlGh/aWczSZZ2YV2Zh4N3+XifMFsO+BOpmxQGdu1XsVbLyl6W4o/a71DJbeTJXPPr/VyhWgD+j7vYX/deIDuCSWuYplda15mfeIRO8aEtUQwb5L07yPp4o+qyzZmFnYtPhfQEu+A66Y2UzQh4Lr9uWSF/8Ns40noJ8+Tsv/OAbJhWquQf2PLbiFEKC3QUTES0wgdDra+VcApnrXBrpwBjrQKPKQiyP9oyoEbhvC/r3rINrlztklhRtPg91zg9tk/q0GfWfIVy0fQXqafJDuusTjaPGXAp7NeB6KLReWiKyv8b0D6zfN+67GlSYCAa0pzPwx6xbslz/qGeYTYCCvBgGWrVBoPgmBrn0bI9P+bsWvOWVvu4kPjwl6wp5c3+hn05CIKc+/TMhEsZ+A/ZUP1W81ANwXbPQk/F+DLg+jwPrEJVWzZQN7NayqRMLUfxXljak3NjMkXbsieb4D7x8BPpzq0Af8+LzRUMx5QlRfyChgsmMvfmlUloJwtMz8bD5APOcBSbxd4JFUF/64JyQg63kmj/Qq5q0tZ+53m81sOuup1r3e0MOCFGoE7F8aHgEYqrgLQIOPflYzkUVl6qZGKAUut/+oF4DnwBGJkUM+9gopGTI9UzG02qB8zxw60z4iDlpZifgNd8Dq3YQC6N+Cx34ngD1ODmPTqVlK1Pxnfapt0pfGJNL7FAgfVcL2wUEmIyRTvei+hZlpyK3HAbubM3cxtPq6AKis3d89voEm/S/2rKyccNR7EgnuCPIGBoibhTJUz7ao1uKiiNfGY1cGU4HwmfJVSjPFMgSflzuYGv3urhb1r+jljAw9zFsfGJ6W0vPykFVWPq4v1q2ZpHkikU9CiIAa3HymbUnhH9+B4C3H2C+hl4PqkLXv1Vq7Zclw/vcyyHnSculNAYoYMF7ZtwL0bdTLjT70HbSKIrWGP+Bnk2LRaXzXtMxCuuGRiuddDzMXgWcDPiYpajDvQD+aeWZ8t4I0f/H07JFS/15b9bnzi88c8APcRdUies/5UEN/4qAMZbB7mnsB0QWGU3RRw/f9xABULjSEeZ54G01RxSSA/XTiPh1r0HunwQe5KF3Y17G0uqx5J4yHOtQoBnzd5+GnONpAKNc84QRk3/uRcM+Dy/Fk34b3Oo4ZczF95L78hv2WVQ/LnWaFNviXyW2Fmlwdm5l7vsREJwaYY3u+t4fg7d/9eqmdfK/5Jvq6PytSUfc12xrwUU55JhB7K0nbT/X153JmeKuAqaBLCruqw/ao7mauACFKgD+Kg/xfbGnTm3cp7wMVIXk7s2T/7k4+6S5H/fUK9i1f04DsyVCiwgdcfBItNT+X4u15IJ8C5rOY5pwjyeD/vTG9tzltT6wec+9OG/I8q6ou8+GsrEc9J730LrvdPXeIGS2Wpt9zS/kl4u1OkQIX5741ogQfpjyZcXs/wXFvbIDN6ayBr9XW9pWLjwn73aETe2OOPe3Q5MOjMPaxYJ+5fC7TSm6npKMcJNwWuaMDvjbPk3DT3CxWATm8rZ96TALDMskfJmpf+glfy09yKR2L779mYPLLe2wCufGSQSzJGjE/KzvTcYLtFzI5R5ZKLmSnFV/xddqVdwSdIHlvHzOHh9POROdkDcmZ+GvYe6GPANsL+lyvjN9g7B3NukVD1k8DnB43wcXCDW11kwHPtnu3gmYTGN55s8pFM3AY+1HsQa3MMz/6b/vPGv5160LiuegfJkKhVpkRMX4q+7jiuNwU5Bu8+IT8xO4Vc1ehP4yd/ZNZ0BDwsAKsgc7azpBArX3PPu3ZKkW5BA+HMVh/UIRjigySPPxdzNtB8XS9pmNwOa8zg9XATzq/6qJWGDHhQf0sLth4twDV3co52tqRRXBIIL3iNm7RUV4/TGwmUe7QsyA2bWx5suRwg1kHn1KNMTsPmdnBw2eTbvSo+vTRqjaPOdyq8Fx62jbPluauKtGjTjPpBSfeLCtpzZcedGuI+t5aOGvVr5gjq+EM65MbCyQXemhHLm5t+C3iAf/A78Jj3+Qv4k5cH1s1wO2r3D+yQV93y5rhiBzj0Bof/x9W/bbeqK13D8C2xMWnx4SAgMDYiCG1AZ4DcQkBgYjs25ur/kudynvf7D1abI2Os2CBV9epdqs1sN2auTmz6BhNfMBOvueEbNaGko251wyPgxriMoB+Y4QV4BX8YNmfqdHd4h33ed4YzzHjYzgXNzR0xJzHOX1zU1ETI8rSkY3dm4XY2GIadzRns76OJNm6BpJkJ8ZNqbtXhfcW0ugFe74iwNpzKN27Bs0f8yuMvj/XoDdQJxJ0t4IZ2hfbfJBr+eiwcQAPUwKNr2w/rx7Y4CmuhDioPLsny1QcNjP1mSK328Q5+LCMWt+th7WDPk0FNw7P3BNiinTonl5f6ynQSqMG+NS7CgOMbbs0v/QVYafKgN48sQBbwa0Endqt4Uh2/wfQADwuevNXmnAs8WhjuIvQPjS7OccABsYAls9OGuPpHrr6ozewgGnrA2et0AH8A/oGD7pVLvPJJ2RV7X0F/Oq2bb1qL3+upW1NndgjtfszZCA8B91bQL9b8DRQV/I1wRkFDAksDfjaC33kmH5COpm8H/20Dn7Ql6PgB9KH4y5F+7NevG8TK5The72q43jPu3wFLQ8DPDbb9N+xca4hVgBOkUGANuZ6dOlzgmWzTK4rxYatZtFmL9Z8DsSEQIEAAR4Y2sm+VRtPB8tbXOQCmOqSr34M/nmGtTQ5g1QxmdgUWwM4Bp5ezEsMZYjymg/aJlaRZNHsHW8sjNbMF8lsWIrDNy3pwNTP5kNLdmVziETRYCO/x4qIj8CHn4HhOa5HfxsX3lP97VL1ygcN8yoB/EKb8VHTgc14Jih6beyE62pXJ4dmvnGB9WhuuCO31rTX5uy6/YNC0spx/GnZ5qOGvH6xsPraLGmUOnyuA+1uMz37FZcf7/C7GanNw85U5gB98Zhh+loMc2yGZqU7uatIHHqcudTsze92hUXcCfurhXncqPp0L0y93rV7nUWEWI08Mhr/YNfCQutaAlwFKID7ezEzp1q42LLL7dLTsIvI+efnPPYanB8S3qxTyZuaKN8y7gNZyGCebveVtmFYT6M9NivSeoPZ114aK6H0Vg53JAedktO6gsd+I835Ph9Br++EmAt/bO+rNzK0QI7tJgcpqxUGtT2fg0/wY5GeI2T/NyL+PfWr8DdixuQ/cSgo4CbrkVdt+z0rkEufkVWKz0LgbZcDcw5o+sOlhbfNV9Z1TI//UIMIVB+oDmHWMK3dv+/BdmGGe25ilN2nWj11TWnJ5NHcBbjKamvyUJv83OzjMnaqUBwz2KZ3uBJrrRrXSwHEWZWbLR7prY75LA73nsKY1aPRKLB0Z0ObY66IIpZMP3VqEG3PGfSWOzJtxRpWYB3j3RwW67MV7WySDmlVeLTxKrStqqKnMupZN/+9BAHO4Rd4olQ/p6Ji7/xwqJPikX/Mph5hs5s+T37wnoal3bsLdcgBu2HCcp4Ou2UhSFvKXL3dkQrs09gF/dxaA0kUhn/ESInqAfurRM7McOsD+oYU9L1AXsD4BeSAnwNZD6pCPnKVO6jA7Bf0Ke3BqQ/kNnO27drjEYPctYMXf/Vc5Xyrneq1Adx77f3cuqg39eHf5x7vNI0JEP7hNn7qF/XUDvgD8/t2WZXo79t0+tUglJ33HPX/gdThnpel5MeNnH8ERjXsbFUeQ3f97r5x+XJxUYJZzwNXo5Engk3z9ehDgBW0Eujzwh3a4gN3zoA06hpmsKGrX9vtq6h5BY108LPCpKc382eUXcKIXpt8oq+zWHRZ4ttfZl6lpTwG/7tVYWaDnhr1RaiJ3G9qeK3PWGEJsB47LzUyQXpu55yf5vZ3V9M+j5T/ADgWIr3KGfBuexxEx/+Y0SYu4ezM2jZH/F5crS8K75ksKGIO5vhQCjQy1oHO/bLCV8WCrNzLlEBd1wMLKbdd0EVO3zx3QCcyzZAh8X6vOzLozseS/GskE0CTfQFS2Gbu8+MYvj4k5a9qbLpugl26mbtfc2xHT87MnrukjoizAbMsWoJVHHHnM8LJCz2n98Q77Js1d3Im6/zYsNH26yB2DjRTWtqvd5FREnfj7Ltgd4MGfYBtLEYFuH7YBYNKu7v8trISYa4MeL5OkdfV3Ydk4L9VeOlsfdI0L/rpnLopMH7SCdjTlbMEidCpHnvJRh8RqzyLuXnl6v0pUdxm1SxP8Oxeu6VNRGXv7qYPWw8F/Gqiy/wEfkwVwpZGKWWMbPNbtBtnrxNyBQFwl1FXgI18O1drKSml6emNemjuPV575dcURwbIAHUxD06spwg7ORDyD1vckM/g22rvm+91N438PpudNw1qT3xxkwHFwOJ8gFrtNCOvrzgN22NpywP7ovopQpXTkazG9+mJd63aCNepVmjKETP1gYfiSrkCvphtz9tiU4dI49rW2JDgxuTCOfBXZJAu7CzXz2z6AD/bpLXeSsBrnB2hzARhqYr0P9joZdf/SDhnb7sjH9kdGG4ixzGl519Hx2Rf7U0bba2POWkf9S6PrmoEt4PLZMwjsuzqbtVUQn1LHjrOYp6AhR9z7QtJwAV4o2rE9H3v+yoFB7YAWGqpfteKhZbYlV9mR0XNZKH08nizwlx2LE42tRFObfGTlycNWCrFAZVmMgV9c/WcN8cfWrvm/W+N0JndirSB+Kkv52E1ed4hp7WzvbYlMb9t76g42FVfWDF12sOw6Ze/nyqlue2u34VE3F4Ee24/rDzF7EwwWtf2VlsmusE8b4D3XOrQvwP89Gm5DxfOVOtiS5deLi97yES9S6F1R+o8MhVa9/luPOtmAbU1HthRHBnvlqku6KusYdWMK+n+/6iwVKm6c5EJHxPmIKzEqt1q7EXiBPDiV6WsF/BmQYuDLi2NXjmWZOWzFeI3aeGdVKyh8y84OwNVzFy3t+LXgqauBg4FWHs4igJgYgt0amyxnT3B8rUxvnYm/1cV23ju5LVkyNLG/PzJyoEP6yqv8Bp4BeIOLYzxnDfUlM7MPxBbc8xk7rZqSTPB5L8Zln5WcqdIv4T0E8CTQSMuO2+1SxJwApzxk6HRTATkd7C9HTnzB1NS5/eUS5xBTcsGANVkIgb6uUq2yQnBz9x4qeDc6eDlonaoN/jnVStYsTJBcv8B/Zr+IcVjEu80ReHkW6dCcRUGs/qEQnxTsBfxcH9zTaw1X0E4/pleRdFEsTL+reLjRQTKQ2g/6ve2JMBwAgQa4nFtq6hL4DwN9VcPTgQ+Y/ORcTqDXS3LiA3x/sX1rouUbl4nLg92mnoZXrHRrF5/BDnxmoayG2E0p8La+GzPQRqAvbxnabVjMB3Ov1+qdo8b8jNfqJvmXZXJqslLV2Ol8UiqqIvnAPIkLm60y9PZsXCgHHv0638h48tmwd/vIu1tVYk8Ny4HF/zw24ozpzvS2+gGuEciVeNwB/wxzK6WAXeGy7lfmAU+laRlaqQPaheVrNZCTfLxbHHQHYPjP3qn+5oCbnOa0nHletmcCQQi07JhCLDii4YbtpDh+bAuIpwPwcMO5QTeHwG+vO+DruNHAtyn41fdVA5/C7UCWNvoCn7zOeCQuFTtXDt6LYz+K6Oq1JQYMgueY1IawLqx17haie/qbism1EbMDMRD8ZVhTbWYdAWcCjEqn6sZR9ZABHjGVmnIzl5to5Vh3FZIfZj21++t++ZeEoJF7dcG088ToaQhBNrFRqkbTL6TdVG7iFR9bt15JegDkOQaqoEN4l6N0wCdMz7WCanIoBolo0IGNolqNw3PGsSiJyWN/1bZf62h+gH1/S3FfuLX9xG56Ft/bUYRoMPNoeJ9QUxMtJmw1EbowjU51mHwAB4hBO4JfdSHw46weuQ2279YD7IuJNS7w/nEWe8DR17kNtb4etcafoEmHVPAdhnhM4q/N3p7DRki0N/PguAZ92H3kj+0DtDroN9Ayz1kgqZ3GM/Bcb9fq+Sw4gjiaPo6RfSK9DFonXEG/vM4qd6DPpKmhUrQbKOBsi8KbueM5rOxxAP6hPrZXYNFu9X0FOwV/X8E2EWjTcH7k7jzicHNW/ZeXhttZhAs29+yF2Jq+s066+jw1pyT/qwtoVv+tcHKIh8zOohPEXVyoeDa5ej5ju83BsXuTk1tb6EYCEjHQlukwJ1l8WsA3IxUPnqRcA06nBVI52MIAcfwhdbJUzgb883W/fHneNR+AzYrw4nCNaBN2FdFcsHG7N3UpppavsrowL5FD9Mkmpj455Ke2N2du2EwcWYHvfOzXBGJr991+b0XOddgM5p0Jy1j7wt4QbEUoe7ib+y9O1Q1iCwPO9kuGk3cEogIoewF29ct6vyDF+w1WO987+MIiaXowf0L8rNs1gedd3mDNraM5/3JPt4z6bwfnDjF199J6oJXJaPrX8BCwB6w4+7h4sthqKTa3dtxY1MI+ieF3w+4XOJCX6n8bwM8d8Nwb+MgMuMdAz1U85I8WJTMH29y7HHQ6MJ0yObGofdWnPPZPHVI5xcrLY8juR51uMjrYeNW+6FuncPhnNZI3aeoutB8Cj4hxKTHmQEns5F4L+40J0zY9XWk4g96Utelbotb0VgTAly37pStX0CCrQNyrXO0XNvijNVeFhQQW3g+wwDcFesrkJoCPL6yXCxvnqoX4Zu4PFNvmhzVfC8OFGJlMX58iCl0aWhsVoY6N1x5i4as3ZgI+QVLAH+DE+3rdmZwtN7WW0zFS3v5xORds2dXTF3Dp3NQR1jwAtR3BM/VqB3EnT1c9M5uAjfo/wAuBw/s7c+5OEQftpgx3es3kImpSFGL8G1k7iOFXLYbt0OjdQpzthnxv08pZ7tTZfoMG5mnkVYBXw2HFs+p5Ze7ngHuY8wZGYH+x6/8erOXeBux8FDYCPKiPU/q6Q7zLITnXoy6VsAWNlQRs84AnWvlgavXVyMIuImZOl2abolR3qv17ZfujAh5ZAQ5WuhsxAm3TazMbaRIh51xrJwUu+Lyn1fnL5i801GuhkQ9IeuOM+zRKfGonunK8PWjHXyZwXkRzIKeTR0bUH1xZQsy8VS7fNdPsZGYuLkVD8diaXioWF8mD9OlCGBowbd3j370DxHXrWUvhH+PhTGPkAT8GfRE+ctPrxvR0jKpVjmgPPrBWfehWJamqMl/x5O8OzvYAGPIDn08qB1RmCX4ZWmY+agh7bB1Wstuv8rWGlA5brtYuI7F0Duvggr7dZQh3oMfq43haW/h8Fn6ZmZ/5wdbAq1BXFe9u+8xX90w+wAC6xPBGoT7ez/BZLuencxZ6S94P91q/ZptC/Iy8XASp6a15p2ILsdd/np2A/p9wARoI4mgzAfZZ3kdjJ6eadcA5ZC/ZaW0YaP8ovfM1mfLeTxkPzzIkbya3LgtP95STZ+3h69yG9NwHHmDDu7iVZmvd+wmxTg852HUTWk9/UdrPVck86aoTeWxHUwdYmExj6zowhqZjOZvz/IAMHgc77DgnnAJH3D+AZznJ63ye7G31C7Hruxn5Hlvdg09sxdrviyAJKdgy8H0/t3AM5PQT7MbMNhpU+ZzR9uwhdHDnFLTPWU28kpOEOOa/sUl7R9NHkb1vBPXnV6zMNR5ZrG0c+EXrql1OIbYAjy3M/DyOb0ckYc9JDXE4gvhCWIw/6qAbi7D7wOZMYtiOh5W/EU4Y0ckbd04PM9s8ReoHqFIPHOyVq/9RrP+WZtUx4ANunS1YSHcGf7KzUNeYbWPQgd7BRnHGuykrk1QK+YtLVeSA8djlaR0MpvYppnEnQUPeDs78oRzZSfEF2jux2+Hrbw4CLzXwidlpAVSAm+B2vC/VhLVc/50bkyscmzk711v7H95tYG3HNOBZM8kc1k3jx/sj/w8PEzyhsqHDpmKXBxYctLUNMQW/8sxHEiebls8PM0cemBdvQxzXMaqlAJ3Tw7+BglDjFXzFx9WqHWC3Kdj4ozU9k0cvPkKMaGyVMIpORybRMUKg68mbGk92EyXz/u/c5uJSd14rU2cYd3Huqt8WYSQEPh1Lrk2/BlAt36au/pnLOMp7JoDn82SiFviTqFbKZ37kqY1LguA97QY4ZivmU6Ul4mF7F+Xfew1N6NUpT0TuyF1lS0uy7S2lOE2njtLRXo/Rsq/dJDiO1QZiLug9SUhEzH3CBWKYn8XyAjHsN4MYBhx1819ugtcppDxmamrQn4b9VmGyFpH0qG4tvLYQR65vIkyBuRPd2mrIwC7rwJeV6XVvChMCaXpNhHubT/nY3muLsHZUOC/nFTjzx3EAHP4ADh7JjxR4LnX467vMPBOa8xmp0bplDAe5pSAW+PJIE9MzZkjD5C2L505S9r84u9UMmXkLWkqTd1ySj+PEr2lAFuoQX3D/Q1psA88seShlY3Xlqy4A7OReo+RDDVcbtEGY0y43vSD2K1+qx/uNOUsOGOXW8dcZ1usTtPbKLTPPsaubD6MHWgv0zQ7sZxGlP2cI2DVXCwH+0LDFx/yvnwPOh6Wqen5IS3+fhjsz7zwHbXzG4RZsaX4DPeliC/hT/7WRH+83KkA3gO9LkaS1c71BjAVeQkwPRIRHj2Qle9CBrcT4e2x6WSUvPDRzCu50TMCWpccjeK8n1zTnPNcNi5DV/FcrAf5JdsCVejokv5Sf1iNgewW8mCLlcBv1udgeWq1SxsLNsU8yNe6sg2XfwX9fHOBSu9KWY7LJHeBpjncyHJlYw2LOo+vxy8MR+HosP5ryn8UM9g86aEKcFJbEjd26ObCgdB3O7aT3EpGdCgbvOFyzAjh0Pc2/LEhf/NCcx98Oq+m9h1PQHyY31RyyXlUAnNr6umcgHXl0salj49RuPeCJPzhIMAF7lRAvq0nnRdxuMFKFfFw1ZsTMRIqL7/cN7DHE6O5VR38WJQqPE+AAw7QI+ZBSpIErLrgnJj+7AN5TttTUWZGH6S9CbLk/OOwB9pzlI1r5lHzuHTNL+t9dOfY5C0LQwdtNaitseggcw+Sl9SLQWZJ+bCcB+97G89KCLVEr2RzpFzwHubTD3aYBYeCfDLhiLTRgZ+mbOeA9cJWJm3M/Kvct10zG/86ynFkbkA3sA+BMZWc0fN1/rXtb3puxOxRR4pheoYB+RsuFoHPvKQO9RJOdAq1JA7Y2Av+C/jT3LYtcQxe0lgVf7nBXPjKGvgErQY+pK6FJdxyUyeuLjsX1VV8JnLK7k/Fampo4k1vNJv5dWd4O+AzGaAabsVM5fC3SxRDfdm4b5Itk9lmx58zQt+f8lCm9AVboHHSdHPkvi+EZ4mSoBm5x5L/uU7gYwM40/uW2uuNA6yxCuwK0bkGJJqJbAeew0V8CuDJxk4cUJ48KrzqGWzMP4vSsX6Y4b8d2IwI9qn64AY9m9Hu7kT0Rmchfdvhb2fibcZTkvF3zSfetNS8q4ulxmt8OVhdTDr68tiafU4CtrsWaevDv1cFC32z0MJl8c2YhVLCzC8c+ABft69Xg4PaBHbRjJXr1MEkKYcaxSeDE1iYVwA+iwSEhutByrhVNgOsh2QSkgvf+IYOOaCCXis02sXKr4iqvRQo8AOzo432TgRQ9ABbWfRcBD/Kz4v1M2OaVV+mwvjrjFWV8kMBNqrXh7E6c2eQNXMhwucuyWtJhY3JhHwfg/KY+TJo8UT2X9dR53J3R8ftit5F3U3Z3z61ubUN9Y2ZmhUgGwBD0ZxvWZVXA+6juiv/OGpWsymHFgD/t2v2S8fSgjnoAtnyC1nsUZbrI6Z97DAz0d2mudQo69EdayBXsy4WYMhcjCUTEzVk/ziLyql/OFfdtwMdV8MEzd2PMMjWC8szFdcpBL8F3L6B3NNezZv0zh+6TRNcrA37d2t0+Nb1lXLI0lDvHCf9Q536vS3YD/vcB/Bz8VL/uAsJiRZYws7qc7iMf8AzYYxUDxNvIfqvGLVXwrCxGDh+10wQdU4JflUuwmrozHRFwqZ0H72Vy0QC/tqSivvlvChr99LzDX7v/5RFdgJuhnAklsR16Bf1ny+dMOfsXc+a1Q4Irit+Am1MMvqKid9BQC/DmJAfuNsqI5Apwr3JPLqb8A3zsAjzBZtHObpxkMX0gape87r94bV1Ab17j1uVhFrau4GBMYQf6iSS5Q0D/J4BbaN+G6mx6NdFx28F+Q2wDdhgqVHG0V2ZWHBo80auR27LmJRkEqu5NZHjuX52vTywEe2vuUFKrFYNFkZ8Dt8WihHjryLF1vox/rUUgO7AF5+Akj0Z3WIhkhOe+VWK7NIPpX/61AYyL2dClfASbjL8s4tglj/5mSkKMAmzT/kFZM0mnCuJ86KWhvAsmE1AH3zQabMD6TyGWixrJ1JS+B/pCm3cHTK5Ty74ymyeVCzb4vF8G3YJ4Xk3kdgxVgmn+yjEbgSO8kTh95cc8a8Lh+23FeQr8SwA+Fgx0aBbtLIkkSq3qllpdsndDC3h9cYz9LnXzB3y+BPwhjU5+5Lq7t0P3kwnmYfTXa/E5P55zdYO9F4rP34DDO7lqwkrT88aDqCaJ0AnwP3k/gN6HfX3j4v7A4xIDtB0KJ2GFffIOpj/BsycrxEC7uhfOu10E8Fzh9XXmUMF3+MCvT9y6mJ6rCTEz3p15aiL0wQdV4Xjeg2Zb0nC7aZlXmh7IJNQDCbd3+Lu3Yy83wPU+U2tZTQ1iPiRBbvtIxf4Hp901E8nrnshqbH1mNvhgdJ2Pw/1cOLNDebtJ4/nBxfaj6lGCERfZUztsOfzdBuLXQ4gNYMDXWo3dW2rn59zin8WwsQsrKerS5InqN/C63uRn/e1Xn5/liBe1ho+i912GQCMJAvx9vh4cfpPTPDHQx5j/M315wYaTO8TvDQZtuHchZFnos43Sc1HyHS79wNSF0IjcSHFNse175jzhdb4B73qDd6BpTGZu6RD2K1M6fShGpOH+jbPMqszvquxONfAY4P2md3SqLDK04xVlggB2+PdqxLti0i6s867ulbkbfsMCdWbew+t+GTCtwCiJYV3tg23mRO+A13S3XMgTMfM2nrp/a2b9gR7bnVudlEKEpif0XmiMgLPFgNUL7f+BRtXXwu06NZBe2uhRuUiKqXvNAXeUO7hFlK6Mf93y78umsdE3droM4tMN9BgDzPHqcLFS8GcK8boJ8CfEfEcBjpp+QfWYrqokoi0705ekrsalx7Fc9w+IRzR9VKP3qpVGxylxIMbugAvllX06M4jduLj2ZjYGcbxLazif0CfQmsPekt8tJyQt3m/1gD3geJYI7c/a3DWy5V4B9wEdO+3dk12g3R0U2Jscd69Y+YCfrXzYuenHdk/DuS7Y/FYDL6STLkzfWArxthg396q4cuB/aL8qbWZtAGeaMW3PB5eca63e9hb2yPc1ZFxmfFVZVSZdPSVXMw/1dW6DB29WoTR9FsbUCpdUzN+0/LdQV4PexVK53Y3RxGliORfPPK9rUvWtycW9kWDnmK4poI/BNge74H4Iayvy9evcaOD+jF8ail/9sVfVkw/GE9+cSWYB/0xNnaq982SIc8LUgid1YcDdn33YuU7BvjcQTRYIOWnuXECjkiGNNhbluNo70gG+Z2pRkZlhWEMMSIHLvc4BCEpvrZMcjoynwN3BDwn4y1xK1m1o2GHTg6ZmnmhFNwiB7kyTkjutC/Zz5isz/ZSc2g5vMpwPFOVOxdKlmPB65HJpbVkCTx5eZylH0GLV1AVtiNKcyTfAZa9x9YbG83qw/bmCNSssfcvLrzN22doW754UppfUNeHgc+2EbFjrDri7m3Hg9OL6VjnEBo3H2eN6a8f31/nG3ux541gO6CWTb2fJkmeHlXzm47bIAvxDILrL6JqCbnAzdv2t+51jcsuy4GuTIf3DQf9ygRno+DdTC6lGdmY9ElyTgzTVWsHulSuyAT3kZuWsm++tue/QR9AR0jm5NEhWGWmPhV82ZsDzxQk0bv6A+BzXgCOk9FP22IKt3DcSeHDdy7yx5QL80K5pV+Zuu6ED+Wke19c9kQbLKino7fRpx2BHcVJyDuwYaHXDsTkTD5WNgKcbXrIQ0Jc1FnKWSL1hCD3Zy1bK6lav6W3vhA5wA15/b2nDzD2VfvF5P0VKtyuaWpuj5jlDFbSJ6R0ObFMI/dkGKIb1FE3MxVFjg1nAjwisqR6Zc91jzQlwo6kGLpW6aFOH1wvh5n5zt2FTx8jwNw9xRznollF1OBpuRIdO7nifTew/4Llu+cgfwCVXOvG8XnnCnCQGO4bYqBk8jWispZdxcnrmopbkmgY850Fywd/XgQrbw8PyTQL8uicyfcU7boeOgLXKmf1pZtQJ2Fcx4hzis4utmVJr9tpVAl9JsizouhT0V23q2kDLH4OvczFYnpnZUAh1y10/laNXtMBrmLW9HlZs/cUvkUi5gu52rh1wj00N9kDBj2lo24XWpRqU6V9HAM8xh9i3t7qfY5DfDq6pZ96aut+fLJqBU24/jkJb3B7spte5igjYGunwNLxyez6Jy0GfWDa1+CgCNVYajWDHQsQVaIjOLyyvS6dENggXRf9lZpp26ePdBg+KBOUzrPemonqE9zzUWrNjWTmN9k3dDs0CokGLvXLM4Ll0pKLkUn9cR7yafnwJo8PWzDWoCFgjFaf/altK9VNHS6XM3AjgYUUfOsRF+oiSy5Ftr609C77uzjROPuj31apdfAUuEhzZa4b1VeASVyQmXAlbQlz/Fj3/EQK8svRvYiKCMZSwUJfpANoh7kzHNktSbOFVevkITGNQK43B6sW7I6I5P7jA+dzqtrfzO2AAvCV6zaGzUv3vkZWtB3zjRiKM0tDUC87FsecHM+cetLtHS13LHoXYWi5ZlJzBZhgJr6nkJ8AnsjkO3idoLhe0uyg0ov/5QJdKwR/HAL3uzc2sqzeTh0l72HlNNgdH3ut455EoYSJSPC8R+HviSMC6BrCrHrfzsQfbcecVx6qAOJ3CWgJIEZOH81vYPsO624O9gj0nUbG+8gEu5yaSv5ipUo5bqxIXq5qSJZ34tXW2wOjxsx7F3FdkXD/4GILe9n/qHnhymHBuap3C5LtmW4uZOWzU/8XWFTRa99mMmxX3FcRi/8XnzR3FSkZlKdGZPc2km0iIl7e2TILWQgUZZFK7iCot/dxGfsF2VgPAlpfJPQf93o6yPLjsxiwvT4GjtcOMCgeklDtPoFLuzP2r2cfgl2sa3W+gcB5gC52M4H3ALlpXvwmIqXjCQS28Ow09t4kSLrS+PHsAMduvUei2hv/0ilNLPpohh303Uz7VB3CeWzUQjNny+q4Y9m9sRhmL2OSddCOLNEkDnQHWAAe6e6aWsQh3sHZfJi9hlw7YYlpZdILYHc0D6PWYRifAdvwLcbEriivjI74cKf4gob3jzvKaXXWrET8fHOvWoGRTgIalD+Awg66PJSlz4HzSnX+Bq9/SNXk7mjknqLsDD5oPNi4ZxC3QV/PBrVZsq1hRPsopfdTxPChKbjRq78A3X3dtOzb5Zg5SBFwB/Gn+aWK2gnZCB2t7yG2cAXY984bqILmLCecq6CC4oI6EaKA0uRWO6tMIV0LgB3BwlAp9a4V6MMBJ+B0bx3/nvQ5mHnAHk1dJ3PqZc5sEB2upU6ZvnH957QixksL/dyS/FdesFfkmK8kFtGQOz1Mcp+47n4AFfVxtwE4Pi+1EwuWZo1GZmtWR/+VviB6fKs4WOgIxgphch8DrI06kjS8Qm39woG4Z7x6Ugg8O299jj664zB9mUqwIE8M9PDHqwdSp4o+Lbe6BWRDaakIHwMva3Lf/77s8JYADMaDl1HDm3IP1FzSsXMlS+6j/2cfpy9072xNwg5lM6UZEttxb2w/gBRxi4g3zZAa+NCsbENTSk2IpaNvcw7BX0got4u5euhKi9L+NAK7Avq93NnbXVoQb4C0WdjvTawo46O58jDqdioTTMTdc9QG6cOGWis2cx3Yi37B3PjDOGTTiW2ptTE6MLnqyqZH/ie3T67tI23O7sdWNT1936kg37WEFHeziwP+oXT5msf5lH0bbzabv2pXGyGYO+eSUGH35CRphk1M/qEr/WbsJPO9TFZdbPeaPg6tkYc2vNdzUQ7jWsY8L7X8Af9QQ38EKQRtGX076uIaE6SRD5Jtx/KCgFevxcmOxHmgfPhqtPtJhG2Ux+SlcPVRaTS3tlizmwPF9R00Yg0578d7xsA7gQ5Vt6pI5A1td85Vbd+c4VID7Vw+wJwbOExXj9ZdEJycXM2Ar/zgOnZAmZzpU1xbw9TlHM5ptPs2z5DtzB7OABe4aLV/3ROjg2AcltmLvJlFuLVfDY2vBMxx2BXCliJTJNdU8KczZb2BmwaiQab6jlIwE2O9z5p2bm5mpN9OnGHxsn66VuaOajrH6VkH6wt5D7uIuF5uNDJHJszX56b/mrhe05p2MFeBbB37QnY6mXy+bnexja+qynWOfyOPzTELPtblzjLbJwSK3xsKLmWOiDC+YlKuAL7zyYEE3uhALOx5ibu7IK246+W0p4MVVjTo0WqBZdSbDxM3Xf4uC9fkvz9XcjfKzEqnNA2bBd2ngERuCNPCxGbFQgg7XfmXrv1l+oDgu8Kznak1ticgqmY4gdnxUzraD2PN7DGdggjvTD4PugRfmtsnBUdl+7RIqqruZ5cmtYSli2N8efcuYUHP+y7UssxD7NEAv2/hJuY4Apyo+bjbHAL81YXfJV7LUXO/ATy5HjvfPiaHh3SHA0fLRzLjPFxKeXBJjo6E4cDdqzs+kdb+p4MvUkEG8n73K5oVg8nUnNTd9dYOYDr7Ic2Bs8OfKzCG+mVnNdHi3GxfFtaUHrtFvbateFka/t3cFvCUL51yKeQe619nbyHCMjE0z4ShfC7erTT0S5X/zzU3PbcBEMhQT93BIPGbLHINGxjrRaWn6XKtvM7c4N7mngNE8Gs4ZN3Mh842kwwbz2c6YtcqJuSJWIqNdpoQEHAYMNX3qxsuL2+TEDq0i9JLGnVk1LH0uric17daq5FeIe79imC/pmADXlwU8lz7G/htwpzfKrjcpuqT52GYQ821mzajRz3O6C2iPK7MWAnHyGTf+911BblXnhiqaO6jDK9tQezinduuYfDEV5Gel0b2Idh6sH4UN/4A1+Kg1xgULH9jhTiGsBXQ7sD0S59/bzyOScY2SUGpyS0OSKqf96wNTT8mMI/xZRN7+KNINC5hLdQfhkAP/Uy5hyVSw9zvE609pmXwXZfJxVuqeQCcysN/hZnro7NfEzCHHdGD3dkRvjakZteXH3kKvu5sD8HYXnmfeu6cH7GdCqcG89zNgj0yZ+i16qdNwA/uhZsBdmoLuAtv7rkM7r4FbwH5dnnlDESJEqKpm/ENa2E51F8A6PeBZXudsm0a0d2Fm/TnL5vAw89rwGfzvTYRft+PQQgzpHq1AC9jMwF1l7t0Id/3P2urq46QXWSbeUZzMfLc6B1+TlvKfeS4BMXmmNvjra04xxZOEfQD7C1ovHa6z6VOVstk1ffgb1x+BD+xpoE7pqjb4uc7MnKk5T/5ncl5ClQMnvpnZS824e5i+AUUkgzRUuxz4W8u817moV0zdT20T4Cd6I7QPiEPOYHuccXQ9hqC5R09TV52A94SgFc/KeeYQmLmLn8epPbMSYF0sv+3Eb9yxYQ2uV9Af5twwzVdz9/Y3hw7wGHCC81IGvky/L2e+qq51PDM3CrPIY0bXNY6egJebWtlKhvMnm3RHEYJ4KBfiLIvJbxNaCoF27sHJQU8snynquBzVYw+a63/fVTAuIxVzlgUmL6J72zv3hyr/qx0rBrngyPSCMT04OIK4klQ9SPHJN724CTG9TQdPwJ/HxvRUEXbSlngCPj5XfXXn1rWW/G+m5GhqVlpXRcwmgeS6Bht/iDG1mqjLa1SBLn7fSOAH1eNqN8gHTpDUqU4uBxd4aqk9gro0jTpUO9rKLVLjicu0V/rgfm2wtQ2bYNi8amEYV6PUflIAFjJRLXQC/+Hszgc+g76lx1HSlOF7zU8QAf+tB4fUNPYHg42VIJ+pg2WtucE94Mwmv1vDv5BHXqoDW32LUPLiGx85q+xmSsx5X10DRzP3i1JgUukENAkSx3JOQcc+72aoY90hPo7gG27qQNQQZICNgv0jLnAM8JekAj63NqsE7rusitmmPvaFvaPoIe4OS2Sq7mWUnoFDgU1gUTO7A6wNpJOEwOGTauBOq+Wlmr4g0vGkckAzjsnCh3yhZq4cR4x8bzfK5L8FODw8tr+pmS8Tvjj2tVQB88x9s7mjB01zBg5mYowD8WVDQjIWvd60kT5n8SwaTfp6MrUKfEOtzcKcnV30HRjL9kchdeeT6vewa+1Q3YHyh4e1cnLgi385MFoDLrWPlH6ZfoCHasDlEfGKBaoAfvTdmr6Z8M5NICW86jVj3QV0dSFLiEGxXx+pD9pETnWEzTz3U8qu5jwM1kctYK9XWmxffQItsqK0KdE3ZanFBSBZySNgot//1bZsHtXgQVyRv8RNzJ2vXYTdTz79O0vBPDVcQYdf/8uZfmyzalwELwnwSIm42NZs1MDhuldcFkDFDhWXYQu7zDl3CWi6OmrP1KyPuAbA7C9gz+YO6sFMDeVKrDRGp8rUSLrJb86sG+z36QhavKK6ah7bGvYW8GBZGPgPDe+vc5u4DRMKsXxg4WL6WXbA90AFdFZbEk1NjTBYTStsCnHRg9+9Kte3mFi8AgEnQUZ/tp6yIV71g90MXl2bOSPrYIOtrmlxAf386m9zxeJ7m6XDu4cdMxdAXcEPf2GNf3APGmsiEbG4pOU/w6u/C/gIWOWE9/6UU+IDl9Ny0EiUpldw62XCW/moSTEgc4d1O5hcz/5vrpnJZfRwOeu9O/+04VJVxTY9uKebGuYOMJqB70cEoaUJNfAffz5YLfDsq6mBP5MRuIkDvuGCH0bbXVNWdhrNOAecqxyIBYHfH1b1wt49rPNbEb3fQG//Amb0lBHn4DL3ed4PilDEoXsM+KYZYM+idEMe2zynXxD9bRtsKmHCKw82t4CH382ZOHCuBHDb3BGTdLRL2NcXF/2phq6sXJ4TiwwUeCyh8sztask4qp/vHCtcO+EN+DVW0fsD4vCn6MM72KLLrXfA59lqi2ualzhSLv8kwT8zj8OhY7fJiutc9MNfjjQdrnkhtgxHywW40VXpOcrZNeSBFMA7p3SSfRuphevQJVqntYbP1r6phV7l0G32jt7UNvp/48BbMyxZ45LS1I/UwEf/6jjGxXDiSgYJyNL5ChhjpaJyzcS05vF+Liz7h7r/7tQ+mT5TeRHPrrSASK3tvbBRBdwxh+8osOm54bY2C8mVo87Urj5nFXCbv/I3PhV797Kyu7dO+KhHNFSP97vklUOCDvQaiQDr+nrtTG5TlYHea13u5CsGliZ9iM8V+DbHwINzC4Em57+mXxTES9hf4PKhgji++T/spRpsSd/T/t85jXGUOyriY37PV+BXI3tgW3Ojt0xvcBloXdnomw0mt6Q6g82UVamXVqg5XzX4qLb498Wr13ADGuxGP7agJf5yzPY5xGtJdVENV3gfeSpEElXiKsS4rKCL8wawu7Ag9jmp2/TYMv1uQWduDhC39rDGLLJuAn5HCOB/pZ+l31uNWTeAXl0r63RvAv+lUx7HCWGsZ3P2M7ZsuRbucK+HuU8B2ZpwJqnLgdunZ5MHW6zVSsftJmXe2eR3y9E7FHZXqhE5hSUPgHEFxGGvcMNHymwkbQm+8Fd762QBegMe9yFhFyq7QxlKOHDocr/yoIZ3KyAqZCUHH/u6NSJ93quzWL4pO1yUg6eUI5+YOybYm8b992j1fAG+e5JuQvngcSxeddmXO3A/TidMjqP+OQ4L+MfXrY1NTwVCWgv8OMITnbq+jp75HSNgBWLRXPAV9jfcOFJXzjMOOOghInCKiMegM29c2Bsa4XPK1eu9fvcQqbHuujYALmB14TFQbr0mbhMikotuQ1Z9NbNbqAOY/h+u5BCv5HH0fsA23BbsrnE1xDs+N6M3HyDGgcaZ8549aktNyvqboxoXw/JLbbbyODkojkxtdaoGtCPmzn5NvVx4YW1tgXfokpm7llU7qZ0ABpsaBPBxa9aV9jXnKFPUj4sV7WsH4uywlFybeR7dq6eT6X/SZcjUJvDzEXVvZPLTJrIF8GnD6z9o2f1yc7/cD8AztRC0elQCOCAnP3uXeymYQFPy71Ykm9y6eICPuSpDuw0S4MrErwV6cQAPjzxoRPeNR90RJ9HAvcwZ+I4NnB3WL4sV73YK6wQafKNG5XDQ8UarkwDD+0tX6ZNl+rVX1vum4SaH4H0jRtPzFviflcA+qNcabiBCQTjtgnraPeppRrAedQ0+X9BXbqT3VvfyrSrnW74iSzLSkdIv5WDf1eA98+/xxzUDnTIzZwFswG5qzcMxJBZ2SCciz3udmeeD4Yckb3v9Xccn2/Slqe2TdeTA1yPJYG8tiJ8fgi2mRscvNPjOMA+5yyVxgT+4PEi12hC7MxWFQOpN7rfaS42LjP1XJ/I6Z2um7pcNd7cWiU+G+RsLaXI9APcI6Ibh3CICUY/TNEAO6TtNNU5xOGMOGh9sbnOM5rBZTU4MxIsJ/A+wI7dwtLeIVGK4w56+/emUx3WXlv7S6Nw22MpFCBqUV5jzS06xKCyEgT852DK9YXKnnZIrxGqPsi8v5VjT8PpTjLmVl6lzDGXH2dbkkhdNrE0/e6Nb/vq0Uz2DFoJ3nbpvUSYVmeSDMvWdMeAovf6kkW3j76u9t7zPAnRbO8q0eACPXP23/9nO7Vg8c60f7UjSNkB283G9NO6cpFGySYvt68yhq+3KJTzx1IoWHCd+7ph8RfxLx9MCvOoB4e8uhiXkq/+oGGiWUFMRciRDfGDRFyic+QdsQ6gY/O5je1Px7iYDfG2FXAnyC2VZL72cC969SR6uZhZUGpEpRajY2zKVdmf6Eq81TyJso1MaD+sx1hBzL3Ybenkb+J9Nn3ySiZjzthu2AGdYlxYjfmDX9MhRFgGcJhb66+tIe1NnnnCwvx3E5aKISEEf2+96VLOpDcrAcEhULXtn41BnTsCL0RFBTCsri2gsi4lDrO8OBWg2HF2ZHCoPrxz4A9oUAl1hf19n5gIwiHBnzmm4HIjwJq71/+oM5U5G2w/Qmr9NDLxq7eJC8Loa725WDm5K5WTuUdTH9Se1B7fms5uxxdwrnf7r6dR9kiHf1P83k6tXEQlqtrkRsJ+cDQ5oNMBI/puvCeiK2a5DDXp1cz/GSLZB91mMFzcT7x7wkupZ69aDhtb/QJ+xFXQEhkhgN2NSyIF54HuHtET8FVManboiIkuqZ1aJRFYUD/mw/WjXnUvN3aKlu7q49maucxpuaSs2S2NXXhsimo88MecZLZUZd0NPfLw7qpxX4Pe1CpLh4AA3HXavGtXfDMmZTf597/AqpfqZM6HE8qxnbuz52pj+rRrioYu+4Tl77mwH4HNSxVLXk86O7PojuNzlJfel8+4VDLRijHAWcNxofuYjf2k91mpkp67+fMb4wbtzx+uamOQ8IuLgmvM+f+CmZ4tIdnTtliYC/jIR4P+5dTC94kvfpdaWyoi87R2VmXsDCbpWxSZvzAP8XF780MVRBREt9ZS1RaxHoEmuvOgJcNO5ZhaxWqqSLO429UDiIsLAqb8gDvD1CDrOzJcidLcUDnIac/bseABesw/Y/gE4FRCLnQv61+s+ayiWLEp+CjN30twwrsBl1sHKuJmF5puf7bz0zTyhtQ5IVQ+6JzG/mB6RLfhU0fOTGJRfO10ubZwJU8vcP2cQ7fLv69iu6tXD32GOvQHeuQNcrfB4N32dNDBEV07VRj7PFMgt7cGBnrMGtjVBwAuH5aBcbWaO2gR8CTjmjqz+5+H5rHLDLbxR7nxNQ4hN0d8achotU0vZLR+uCGKhPtg7hyHtHkMPgb6JGCOocJ/5AEh8XB6g4R7q+1qZvAegUKb2Bj9rFpD/gx3LUxR9k6G70hVdQDtcJXr1q7yOgJuHXNiOivnELZQ1pb7nDIWZ4DujpZpemd4bq8H7nErDpcDAAfNGsESa7EArmbvr0xElpACVDjGgb/RpAW1c8F6ZTnEv7P0VcWWJ0VvzYVlAuz9yF5mekXY6IdaaWsBiu08jnStr+YE15WkEf6+lzCLuMEt/G9w3tYbUSs+So7ICpwG7MrW4guuEm9raV6xkA5lqtFuyIPWAN/t7F5f5+HWHV7tTc+8NnK/+uACWejiLkoyEi03+u1/pWY9nbPrBTWSuw3cPbPWzcqTJuQDOMfMKLMPMynrhfOXwtCn/rbCuJkcdYmxn6sG+WYSBIyrAr/bMB4VBD5VY/3vyXjElWPSGY288Ym0T6XYjtq7+wdp2eLifOQod4KtXwKrL/7eXTvd77JnNxuQA8e7OhmSsg90dPvunePaG0oDs+JuGNmDi/EFZBXHq/dauZhbt7owjdE2d3G76LmTg5by43FJ4XjNTuaU7m/1fXqWbPt4tOZl+/ASUSOLUvZqPGvv5qALV//OoszxrjGuLeeZ3TV874Dpvx2l+KJovpq/pwSKAXjpUgGtmDgpzOqsSzMzAWzP6qje/ntIJ+Bc7mT5UB9M/OR/fN9SezczPj3ySpg5+TqPQbphnegU+uC2dqs/PPOo6AZpZIl0a3cqBtyphzuGWLI27sAjtkYW4J2j+66XD1tbmkbSL6evR0tBSQ/dz/AD9bDLw+p1Xi+FRO8jlCP0eo82DRtuTCCrQYOjWONtZDaYyfLtTPeCnZV9NHKScu3T0zLxw0+PxdQ5wMjWTR6Z+xJhcRYTTxkbk6S+RV7VmljM1/Vm3E/DPgkcbe+9IjIvtJwUOQC2wg8k3fReNPrbrPj3jGGJq2XU0THg1oV65+MV7ncbGb/VowV4NgN1814y2puWXwwJQzS75Be3yy6l0mMBvgE2yta5nwLSAh6f7f/lsJ4tNSQfrlgtEvIaZGoTWnBOYnpLJ/zPv5k0GUgM/vBfRvMFlu5I1uamom3Jq+rXOQdP7MbD2qA5VVqxJWvXKObhfKwOdhuOdnZUt8IH0ARoNND+x9zYXwEvOmBLZAjtqreQ1m8Dbr/hbBfhXTabeAbCadg8RGA2BQMN6oMtDC5fqh4R8z0NVgV4IGmfZK3t+k9Fz7s8E/H+nAtCmLrFSR+2IuJqeQR1opx9zZfzivdwOHw1NYsp1mZXyB08taF1rSQcJ8QkFauURZuTKXQ1fjEwfOkId0O7azE453ZoBEdB0AwV/xFR7pl5PgDZPnftdMOybnM//fVeaMlUBv3Kw8NIW9KBktiwiVID+Anz1HmxkVhOQsh69jbTwN8Tt7yaaZ+rorgAuwsDWc/asYUVF/+VhBHgaJj9cy0NqwTuwzSt/47PhrS3CJMW9vIvwWmQxAm4Oq2rOvxAXlS3PtERIxcNZfV/O5jlpz68Edb8HK7RkyIvnORj14Z2SMmVLSYE/ENMPbeyWevzrFfzJQ3RqJt4fQ3VLtQafPN2B12PQDkEzgH8I0AaWXNjHVtIht+B3gT/rpSr9S21mZgzhpohOtum20KIO9ILv1+HOqQZkcpo32E7+aqXN/ZUK22evOHhvwMHcq0fMUnE1M5MiMwvM5HpD3DuBbaeg7ykOu3XvSoEf20Nq+u4jLluUiNQG/mvzRLldUMS+BdgNug2/akak6ZcBv3uWZuKp9h/FQDJi1l/wTGmZCp46xXg/U65M3+I9cOPg2adsuCZZCYrP8S5NhD5Toacs3IYE7Dp98hHl4+HrDDzp1UNywM4CvppY4D+RACyvke+xUD155MH5b0575bZ3gaRbT4CHsKrFc+YDcoGL/lCH14BfZc6lObgy06lX8b0NZZTcK+dKK0e9cjg36YT5wU72L45FAPJz16+x0G/V97Vuhu0PDSEGr35OYu3LvjvXIfFljB+SmplAqsw+ttnR9B2ZsF0/7Web0PF+q3rgqNNfTrtJjj2lH9crROpdNSjZIElBD6yVmWPh+vfWxfFxam9toCsz+4qLpQDu8gbPt9ZC93RYTpxLr9VkAcVVHUEvg5/WRf/PdLl5tJH31xdL2skHY8lbgfwdqN0Liee0sCE2RZ3gQod4WPyC/lt4rH5y59oBHy/bshMp78RhTW02SGDA6JwbXRQtfess59Y52TLamb5Mn3Vk/59edqu1iQCMkLqB7rYAD1MKArDmxr65Vzv2zGPug77fyID81rCa6TpsMpAfHDR+Ow0en1BFAKtMjgkb7UfK9S1F5Dl/nFn2a79GiQBxo4Xm085rpqQkw7C0wW6pxm6l4r9ZH2A3cW7qmZHWBWiJg9V9g03smLUFDoZ+GldnaT/cZJj8NuNiNBaIOiQaLlMzK/WlHbibjHjc/hBX/tRjFzWj7lQ0mB44buGSrLL9E8R/p9GhwboLDy/rM5cxApy2tqtCmtaRjkmsCIm8HbFl3YKG5ZqELPzaKGt+/PENoF+tgM9i+Q18IXv2BphkDbHczUV3YpEScuzIMUiydLw/9mviiRD0KvdBl8wHeMb+GKULCa99XaJTzYlVWbAeLv5sytMNtPUr3+aihHcouDR9BOt0sE/SIT9HmgQYpXYrbNMHPKwYITUz50byl1EOOikZaodzPHWbyvIS+HNfCImoje8sAtzs5dn052XMMzkj/3857covBhQdRWd6Ot1rsU1AxWdkuGI2IdBY3UTLCt4b0VrYHOz+1PYdO3I/gXd3W4ZXFqJAWvIMOswGTRRmvLMP1uWhXPX/9BXJrUwsVz7ODxrqa0FxXli2zZzkAToN8AidaxBtKejndM3XdEC/dUQcGc7k4PIxDTtGh8TcEf8WfTcSiO25jea9y3/VsL0co+0Le3ec/jM5XS7WyGuGCnQgP6URcFDLE0c0J6B4V2by+8NlL00PWuQ/QFsWOEDB3q4cMzMSODL4/HxVa0LSSWZPfr/iEqMvB+LsS6fsgUMBceL7LDytDegi4IiDjOWYAo89mrzdafeA9UxZgDsxhmtuEdOnfBXIl9LxzsqxWYaSubaBi9ihVbupJag/AU4T2GfTl+LF53uBTg/wbaudZqR6/NOO4QIcCNY1sfaPq1MJU2cH3L0nl6wcTP/epAV7UVNyKBCJMUPnI8cyZzwR4usmAjk+8XHUoG3bB7Xm04vPU/huwJWPxvZBw2tfxeGjGFMzm+VSjWhs3HT5L4fJ9G1+9+B/ZxHPbwe3G9r/aiSTHPjg0cQmcxtcXH9UZD2OMezvs/YvfOmv74zZAQ6vdxppWoFNyWi5prE6mH4OqfiyzcxcWONDFuiiLROPgh9lqJvTkNzqPgTuqTy5om/pJJpQBlxRoXQEvmef1mO/e3CHvHhvB/HrDVAKuFbyAJvat9MOtAowL63Dxp5B+6BPs/a4NzkUWBZBepNicNR//TgIZ1JAQC0wJyfQT45yrA0fCaPjAFalTS+LFz/s6nGZwWaXOlri4ns7An+GuK1DbtlLztWzdvoYdgMP+a3gX95xvGyUuF6ZNSem9m9vz79Z2V0bsQ0O684pYvX/o+rauhRVku5f4iK12semIEGUtEjyAvkGpKspSJBSSpFf/0XabZ35HmbNzDndKmRc9s6I2JHVw7wph/mprQP84TVvbv+1ZXIno86zfgpYyK9N32YY6Y489+XJtqR+W/X8M4+k4e+Oub8AjleKDkP+nkbpNl4u5htH2R2w5WXv8By4lX0atm88QC9fnqhLPBXZX5ALAa0kR8CBzz49InB3itUHscOL6Q0rtZwBs/jUQhW1ykvW2xti9K0YuwN+myX13zjCfsqVmbkJGws/2JjB9772FM+mPnZTSD6q9/kNW2a/NPy2CHiS5p+nXrWnmC9NjFssSF71oXdYwyVz1XtKdQ44+KMJ1bkZ7LUG3FUPZkZaA7LU8FnPBTkbwB2vXPmV23ot1+c7MrsxIf4Z/SnA/oVemxgiRpjEgiaR6D0E53MHH/NkAfbeL0zG5dpwvC9HGeaDBl7g37mYzKzOZ9XbrelPabofrarM7IkjsV+mAd+IHg+ZsK+paHkmvLG0wnul8bWx9QPO/ptbupc9Mb27n3T8YyuuShzxXRUr19y15howGGNrDskLIPe3cryeWT9z9GE9yk5pM3OEKsiPQw22DfZvAV4CrE/ORgsLPieQiARq0Afgd9bemsbG7e3KzFgOU1UDF8kc6dcxxOABcpC5h4uUPqzqi4rXztarV4fzDj/mK2DvKkeoO3HSM5S5OGgzsO22dP0b7bd/Z90d73aKycHkjAowJWDH6WBLaubsa4Eg58LrgAxNzB3LqnQ6mrki/bpzcOoRPShCQRopG2LvrXJ1AtjZ7HHi1FaVRLuFovSesSSA/4yZS/I03wqj13twZIkHyXHsf6WAeIDfuiXDwOGyO/3cHgCfL6XYvup6wAv1nMFzn3o8ZrrdMYaTzOzSGOH9MdIR7l8h50B8JgLi1F8draK/AxYvUkFwFUDYtQEL/O0tTvMIc8iTVcPVtbHaSgb+yzZ29dpbB9sfT/H0BZzt4+Bi3hQpxLpWA0cSJFrGyvbvkJsnFuuMOjKudGL63j5PetpkvffUa86jbVGNSCvkfxh9Hh4D9yqmXbPqF7bJU43WU76d8cjXapwgzmJCzN01Im7O/uk7GN0lR3+fWLnBzrYTgJkgttvA4f9pBbf4WABmCuUld5K0MlzQ2jL8fl1rhF46ZhsaSc6jqwX81kTc78z23YxmDovON9Lp72O0XJRrtKsA72r9ICJb8nwL+JRZJeR+vmJKe8Xx4A00Ui7gGTgXvuF2tgh238DzvWrZlIXlHWIxykNd8iHbQHzbCIrfzJ5AGXlnsL8M7MvmruEGfAW0Bu9JASOYfOC0c8OnM8QdOL+EZG6bMAY4aTX3ylIc6Z8N4+33yzb2Dr4wG/5Mj96rgrODdb5VkfE1dKitq/O0HQ38pE8OJPCv4D+00vwDLLsqKXCDnn/kQztXzpZATDuznkwQOz8hflwVVVnTJa/dH1XVmbsgiC0dyiEPL3vg/RCzUBO1QPfUdESNQ/s5ZzYJc2p6GPSlhvxYF5MouZkNIkEdbc2OeKNdkMOZgc3KAwSO+BjLe8mS193ysw/S7DTJxXasELLzAr9LOJOMAucP7QriWlEVSpQivJn7qVq0mDntBvLoLhXJU3uHGPyu1SWP2MXs28sDjioLS9XLsQm3r75KpNbMoRFySifpRcGMnV1JCPz1r1bLteZw+sLDFZWscZHB3BTyEhIoORteocL2LkN7OonpAPn7JgDHq0JyUvSPCvhSCTH4Z8YH7DrrtzmG31PrKS6FN5TuzkljjRru24Q2HrNadDJ13q7dYc15E0hdd2gHEHVn9M3TAriCzcF2CNg74irC5Wlo7mm4jJTLl3ZEwjT3T6FuwVcPgL9KGZlY3FqpxV0SZM/ZTOANvnK2RzWSQXH5KAdgu86ieSf5YZVTJrZhPbQFPJvRnKPNCN8dbmVpkbxxf7TTDxBrzF43w/v3qve6Y0TOkAchxtsO+Nz9mG+dJ57n5h4ea7AzizoI80G1B6vf4ALycKGmDDi4cjUjAz6mDj+firPDbRPnvFf9yzp12MN8onhMvqrHnFUiWWS43TFnIkZZhXb6CvztAPHVqizu076/ywGJxk24QIDe3cxo/Oun3pHNgbPMtInljLveMe/s//dIt0gGuqggT2T9HFC2JTS0V4x8lg7LJ3e2C3CkzxNwzlTsnnr2uEgfEJvj1Fpk1ZHvhqWeCDBPQ8j5QWL22odGp7K07Hfgg69+tqVm57sccUs1cRTklNJWc2P05cyeMHD6k9Hp18AH+8YWArgum3yIyT11k7Di50UN54sSih0e81CtvOKDPZn9OI2rKmHm0SP8owkPz71nyOy8QSiju9sRyTciFGBhdEntbEMt8p79m1GoebqhHXPxmuyATwN+zW4l7TeNbguIYUvtbD3MrmA7Mjqy1juGgPsASbyeC0dzKFeMqevnHAEzixbw1a3pq+o4YCDVW3fIMRBHFwr8gwGPBL40k4Ol9lnPzA4+anaq5P3Gqp2Z5zq5MofgNPbjOrzaPP6Zr/T2TkJZRNzS0Xc1kKkuGjv7nEP8Pr9XXO7p+/baFHoxOgbl2F5zNpfcMduSsDxFEC/sCXIy+PWKHmaHfOPYHgGOqUJPy3Ga69h/+fKX6a8w+kMV+/UAbnckkeJAb96ZWCaBMkdoUwMnSPWtwGweWEjgz26zSveQHdRTB6ZxidHCb00vmLm3Th2bwneNwB2M7s6Lfx0oYHs4U8xj+S01wkSc72KwbmDXiYq8kAXhJQ/+3E5aHcCunz2fauAlWyEvml3oXHUnyNOZNQeGUz13CD13WvyyWY8PAqkXJ4qwI3sakS/4O5tnjdwxtdplbRhKKt5SxsiYOUYvoPGo45l7xZUM3iR5smE92JEDnMT9vVK7dM09WOUSU4vKyYhJZYUXFrCfuRtpJejgyuXUJxdiam1OsudCJZAfxmpsLRXLhyxI0FgqOVjtB+ANCfb3qAPTu8UdwC8DnJ+fcW4deXKF3/fEbIAjBEZgy4K/tJ2zE9hmisIHYM++Rs+90tfSTjanrvREQco8mvbATcx+gI9j0JYnsdzS4XqHyBiw/rwhQQInAnE3PHtHsY0gx60nCtiaYUj6dlEXZP6xeT7F/1ujzSDXElf1uXN1ROHTRixH+TlDPvL2qlAVgRjDwmmDIeecAn4xu1mes2eOt8cDTsxMDINcCFxxk67+exraL5t3T8z00+C92Y9JUfuAs1nqmPdEJwFFPjJ7Cc0+F+yQEOyR8UJemcDmHux2cCBH0eStjqYgd4y2i37u7eH29Jnl85pZgNHoj45ZRWOSGTsVodxzRiweNBv4bNfc+RtdYGolB3P3DPYD37UcsuK3+b19M7alWgE/UDOPyvvasZ2Gy0BaJM5W/F4OfFfb50X0yas3NTZ8OBvPm5wrDb40VS5OcpHZaZ+8pf0G4q6sgMt0NcQViKPnYzwdKrbsmQbMEf922Qhc+3MO4HzMfPMMfoypbfrOfbNjT4IVv3pFTJXrpuwpqgTJGsaA0077ytGsdOWuetZimnujTZxt7pjt7keOOLd1m4KvG9sAn0IG1+EAA75pgC/jQ4OSDeCG+WCBl48/c75RBWxO0XLZW7MRzXni9XJUYd0vSIy7i+p+XwSHGESTOzyXfQoasBkCeE5mp37anOhvM+sEuY0gqtVyQtzUP90qJp85m573Xa+alIDPxZ/btXIlxQJ8A/BABZFMUX5lFM3YQbzW0mcmRgb480j5xcw0ivipLw95AL0fHtuIxcDbUXthmkyNs33Aya+lNVHR/+wMqthwX4S5y2fTeAoh9o5TRIKd16z9TbF204SyJHBex0jhVHgXwBZ+Jp41+4A7fJ+OvAM8mbOhjXJrXhunNXuIBO1+L7mt9sCXf3AUxCAfuM85XTUH7PgJiKZoqDadeO+451eq2yvt0PK3DtSaXH8UVOlTT0YSWnZqmT2kchABxKsiCfPI8modPlTcrrnQSyp+dLG+U3PnGs2yNPtNHWn0181MoQWYI4Kc8qWAC5wG/p3r/kdDiESNRV2FG2YDkTR7A/SFDBAHXaO95/u4bwnujaK6bsFKXz23M/hCJB1c1ZY3syAxupMbFvaXSuCrtCcuwff+5pytdzK6PlFq9mD1qY17ajCh2ZcakTuNJ6riyc6D3lNBAmf4y8oEhCnnR6cCMLD3bTQDwI+Ba7WbfOCPusdlExFUa3IFHmOd+tbdA6cA3ynp2I6p0S6K0c7M38O7K+VKMIn1gwK3wqaOKRZ5KvyKWfYFsMIrHvbc9FyaHVjAolXs97L4bedGp8zF0am3NrJQWNGWn/rQIo7nEbHdncSMwYcq7HhcWtIve2766fe50Tqy/e88lIL3nDBmNCnZj04g4/6jzLcb7maXtJOfOUU0c7Nb6hguO33xAgEu0ldRJEJ0vp1SHIC95U3hE4OHCLtuTgO+EZfscs4ewuzbzmez53Nho+9BXnpp6Zj5LQub7p4iKejKUzJonEfeETj9AzDHXbyDr8Q4q0ICeB7bcpAfJXy/6Ys2PWjwHAQ/tl0V6W/sJNeU8wR41FoNW4iNf+c3X3ewWc/9xsIxDcjK7TbPWRvzfLZSrVazB4FyLesCf1aF7/99Dki6YueS9/lBHA0xF/VKI9N7wzDb3M2caoowZuufSzO0e9z5r3domXo5HexFBRCri6nCNrni8c+FMX7J1/abjcmDWYslYw5/lu+Bt5Iqah8MGaxh6mHNvQIyUo6Zmbvd1Kv/mbIWbOi3fcxnrx7+vOqwb3WhrqU7RadYVg3wtZJrsI+d6QMXfCSGE/c82g5E65V0JANu5wBS7ZQ1D1nBlnrgx6pD+4b+fgC3CPIe+fDvTL1h4MOcNe/zq8Zxr4VnZtdvpgZyilRGmN2dgvIGuHVJu3DJkTqa9wjfmWaA6yqKkXQWj8fpAqz/qUd0CiWqnN7mPTbzzEXp6q+Soq8ccE/j/Gg6fRutMR7wpRYQTqLEq3s7SQvgGWgSpFA7HiAzFwDvcfKrtblADEnM5xrcWXepV3VJ1jgaMEFrMzY54B9veRi6+WA0FSD2W8sLzx+4g+/HGN5vwPPcWSLi2C0X7Qfjkh5cvgOucjmGyyZlCGdcr6npPwvbq2CKwz9/5iAcTQ5wslSu6d306eWB0Udmd6XJMY+nFz7csIHfZIFvVZGa/U8rF6l30uXmGCfWc3+XxaVa1bEez07Vz5eGpvc6as0dXiypH6lw+qiD3049NutTF6uXkjLuAhccAI+sqv/p7bmkSL6Xn1fAJM/6y7MGJV3VAX9DyrFNv1T15Fh6qtLhft+vvgvvyMpGdGjYbNUU3gtv72bODXz9CHhyUZ3OAF8eU4EsFvIfPaK6MPUqRTLGn3d2pCCfZg70GLFbyWy7oaSCOGh6D3eEZUta/Db3OZXs4JzNDFfRLxwsl3TM5Fuw26QUIdpnbG4Bl0Rl8VNPmepAOmxs34ljGR3N511X6lztskg2x5A9dy6YfSnPmm/PO2b09YfwkhbhRehwIQA9IP9tqgILaSOzb/09tYDX9Wf3FM3vgu1ePUuf4PtL5aKeRWanKff/1iftBRfJkMaY1M4EvECtDZJmnx/83fDOI3SVCEX4c44ywP1Un+1TAZy2v5tdRcZHb6fA/6b6r87x6y6FPOZdFSRZHivA6Ympc3eceV1K+wvgTxd40pcYFsAdWpxG2XMkh7qfWLMqM09/OazMUUNCIW+m9H0+5NxUrYCRQhyhzn3dP+bXnBTkXPstBTxcBWSsaBthZlsYOEitE1mupOQDltLcl4TAvQLIzy4C9Aj8HLXXJkz2aeCb82zN7OAJwZ8MW3NfZvY0QR71WTO89tHPEIvTi3SQJF12q6Ptw/SJZhZgF4ZJNqSPemg2uCBHhn47XGwDNezWI1XXlMqNMPoA+ZYAr6okfdpKmzKy1AjdMpGMjS39zJpes2b8hDIb4GQg7exOO+CR/bb4pwdlpZEu017yE03cdPjl1C56atCALcR7K7mYuv9RZBul5bUWdpcK+2r0fc29E5wDfLZKZYF+5m7ScBvnqL/UBSqrbufSATAI83w82ARiaFJ2YN0U2bktOzEiizPTl5tQs39GiMlJBx2l0XLOAx5CHD9yihnkHQm/FRiGX0n+MyelMzMbGbeX1/wJhbhRjxAzrfZ4ivSn2emkImuBd5VJ94+pKwW1m/hHRNzMzJ4Hskvz+a/GaWD0YfF33qE8FW1l9lr9bx/R3oJnt/84zGCjFY2lm+xFzw+AvR9sJDR1ZV4b+M45U0644B5hiEAOnNdwMHoiUXI42FyU1t2hAneG30DeFNKcN7PP6X/6vWvN08uTM3W7G+SlpUKSVwMGrP5XKz0d5rYBvkLtZpHjH5c9730AP5u+hwGbHXdlU6CHoKYv03vqadc92cB7ODYiiemIXjVEZrj302643CgLTYR5YR2HdxF6X8r0+RepU1tJRkPIZXBQgO7mygk906d36viQUwU8FeJWCOmh48TsOy57dc1j/Qax/0j1q/d7fuotVOL67GMAzFSpyLumgbxi2zf6KHbtTjuRzwnksy/ArCvwuY9sAJ+lakNQawHXSnP9745h0FyO5KKizOZF7wAWcQmaXjHKO0VLxLlygW8eWGjfMi1vNZco77VkPLSqUX7wfPveWFJTJg/lCp8TXT2GzF2stWSPX0YXJRb8fDF9zFmPUNVzWY0auANaRa9f9UpgY4CWtc/+1lkzS47ppVn1xWhxnpCuKE1SkwMarj4EV2/qMe+BoXzxAV24nq5VpO6U44MCXlqxnVczeJ4htZoe4kPkpSK0i5/n4upBkfwEzuU2I4qqEbCL7eNjCHZkaQFcqAc+mtaQ282+R8Dqz76iZx/KS38o334DgxR7V165QA9gYjNgzQ1n6EF673W/sYN8k7CiXBi8QwKxjCBiaq1mHuudgH8xbXT/J3PHGEk33QBuz1InWyCHTWlg9p0tV2J2S9DSK/tkNPMKwKeiJuQ+D35fgMe/dB3npmhX+r4tpdHFH9m9DqdLtqqkcX55aiS4itUH5O4k08gHvBxJU8MX6Q3Q4r3Kr+6p93QpkpRZXJyov2fO8jAbI3Otv3BkdE5fuySM/oZ2idUGe+A3TP9ZKZrS156KvPeOwLNuLDo/TqGXyaf+BvouOyUYcHdlqaURWwvOMAYMhWpkdB/5yof2WnJzl4MnwLMvDrvPxMaD/ODzEME7IveaJ9cTxCPIjV9HrtI8nFJi2WUa8a90QPeGKbukWEL8+OSaf5wiWeZWaPHeI2T8famY9p/5L7/eAFsUwClePYEP2c+WitS7AFaXQbLHXRtmkAnLjiyMt0szqBGw2juN7BXieJYHzaYGHKAgRgG+dilwL/gdj5QtRuHkemRqqsDf6jDpslUCV/jpxx6alX+IHp7VUUsuzNzRjLjpxbIBo9mm12qKml4fsyJbuJkL1YAFEJ6F0d/UPGXhYuU9xKleLpCfbiwkMg2XT+AHd/a43sGfX/fYjtkdpcJ5lKHOa3Z/CG60Tvl3+rjemAW8lyOUMVMv/rPJAWdUxZQ2bGsDxvIBH4jaDTeNK0cRLYLEKFJi64lxksKUzZmEFPSjBffUVgRe8IkHbFXOXxzLxPashrZjus3yUXJqbcsq4jm27pBTgNeA/0reEtqhNxUuzpH63zxaDs+5eaq/075dKEo2e8vsFmpfvXPflcNpE23zKtZxA05djajnBSmBz66s753MWcy80E1GyOwTfcchXprCaEOojerVwcx9g792ENvPbDW1Y02z/rqmbHYhP49Eq1fv9wUw6ydg9IrrJ04dSNBCpEJpWQD3GxBNebtvVtTnDH0QhFd4h2CfPuVGx9GF5863kQSshhnepVreG+EBry+9Y/5rKS3ikyF7vcO5EvrIwtlLmYfSPluqQH1ViLNq+Bs3+JAUJLL7ZjQ6imzhrh8RS1dgey61rkvDvEVF0xFzfsucNm8i8m102OFcQhI1Gxb+zOu9HSzbEehsQ65gDeBlwRaTl9/KkYwnBrbhJmGOJlqt2OhEl8ewedSRDUF1a/DqzSwQUNG2bQTPia0+AdN/nQrlkJW8kY5/N6H9yilBOTJX0YSanmzyxAfAh7nO4Vw8ackJu9P70cwt920ElI+D/wrq/lnVsOgmbh1A6JCPt+97tzQ600dSTLGgEngPu0D+SDHave7Z3FTMO8YT8ww+Hn+b2YA+G/G70O0DW8k1RzJVgR7qsb2l0c6BmA8RbIoPbuoeheKlozseSk92SVTa/ItZEvApNvuiOm6ZnYd//lcfG5XAdVlfXtgAPBwwQcnkkod/LB4njtnB2Jg+V5oA90BuZkPecHDVWN6FFv4Z7LNNI3nBEJMAez0OdtuqInSaQJ4b4IA54q/zciEsPZ771Qp0NRqEgFeNft7jGP1ZaGjjZphNj+yO0MQ7FfKWr8RohxW8wNOJnS0s9CHrZ0673aMRbWQ04OSwhKeAYMKI0Sh8nRfwN76r3dbUwxOw6wdbG/jfttUIG2HHe/Z6AD8BrpiMtLf3e7OVvvBz+P4sD5eIIgQ2hwLAUlMO2LUqwE+djQXY/luI7fQ/34Uh1xHSI9FE9iNfMeBqCVxQscNzDvGpr+dUFPwm0m0+/FpLJzkCPlxwx51mxaSJUQmcdsLO3OXW8v6cR/o3J6ccvoKtvuIG4BL+lbl6B4j4kArymfbExtb2jRVkSkcz2zr51DIz1u2b6aur+uX2wx36BOXhzgG+/cBFanrOx3LwbLMfU3Jt9nsLyGMv3OueQpIdAzQpZOK0Ohyc3eNYkPfSgH+z8zjAGvDkBtDnoxkgBvfI9KLuIEaSCvBkBrk4Y3LD7LY3mluccdL0rdXYBJfDxmMxD181+nTlFvhNJ4qzQ120VKsPb9GrTpS3kk028HiHCTQq5l1yrc7AJx9E80MOOQY42gct0CKKxFzUHJ7c3Znd3G2W3JUaYtAgEX9pO1vgI0fe6ef83d7VKR28ITW7+VYZCuArZV/eFO9XPOIr6c39rjc3bns9xfIDh1N1DJJCDq1fxe1OMsVrhns5gKED42CRfS375uXLeR1K8dTREPKd2jqWq4T3g9wTcHPIoc+acNr5KfCRHaMl5GFsCYE93Jm9lzg8xUYbMHuozr+k71sBGMLi4TKUhjf1sgL/fd2LZlXAB8g/nYB3cxra75zZEOe9L9PT0Fjcz2PgN2MCvykEvNzcq6D9+LcDwXCECw23b7QwWiccZ58zOwL+PSG/KPk0pauUgCudHyzaz8Wp0KWMkrMErmq4Wgo5CuzDzOebHttVuv/qQFyPuT3dqQXv+7GdmNmBFy59Sv2qtBYXbKUkbGFU/76conSDgz/AddRLE94FFngFn9vVn1fnsCqIp6FzAn85Gv5kmZnuP0tVyBb8FLCPfQHOZU7CzPEeAK+fTW0os/2IO6HhmIfMlc/zNPunGqp3Te+9avS3csA8Ywpiw3ZJHXiuAmsWpDY1XxOn7n5tGbw79xS3n4D3ytSakCjAz5gNmPqpySVN33mtcZ4PyMKUo8zROyLuK3lsBfjDa4daK/NZmNopd8xsBi8gwxQ0MByvpWRAhxNKvMptI1P3y0P2OLE/99ryHBWlaxVArBp0/JeXAG5kgMCc6yohhlca7cianAl6xY3rArnE3G+8YUGAB+/uz/kTY8ehdqsQ9/UgSxObwU4xZglLu98POprJleUOeNcyGpLMbXMyTFhG03dl+vfc3+uRhp5iCwLO+vm6S2kKXDSAq/Jhvmam1qJ/23k4l5ya2MWrEyLCcIcTu144+KjppQecfDty0+c8m7ntY/r+y9ybf9BVPnCws0Q0pcd3OB+B7pBT/2lxXyHu7Lyyk4A3UEdCswOxcUin3NpuIbbqTzpKqqL+IV30oQLZnhD3ASvjXBDCe9OrTR5ZJwfO5g03Gq8Rb81cPuDxyvQMnoS+vup6DJVO0/MbHSc7j/3llM+fqantc3xTRXKFdwL5d+vhMbEr4MJViLDirakbCuICUxzsoim00SF5EJMnHJxnbHqvBy8HbOSdxPziyxC7l2Om9bvsgTnE6iu3JqsUC3B/yVObQOz7veEjx2W/nFNhepGeeMRMy9gV46Ym8Ia5/4UhfgsWbqg77YFLewLBvx96i9jkVf+65La+P/V4i7Ywd5Tw3X6pVUyt+amF2QxXSzmJd3Clh4fEqSO1KkYKZcnE9F9mg3cHrmt24TBMf1+w+3dGGTCCzYLfXq6zF9cLT2MLeAu7dZFYxNUt7WVcuZrkne5E1Poi4pt8BG4s2hQPfwDjArlms5UKhct82wKXBg4E+KoDDAG2AlzDZq7+UMKmgPcHgX6/7nuXo1jWGt6rQKml3PZ5f5iGW/gsVKmi9HBhdliBXQDJBlzgSlM76rNbxgAfdj5wnuTD3OHk4APwLLuGpkuD2lUB5jN1eIamVy2bkEjSvbVATNXXnMnRaKqmrF9IlBR1TDbSAr48TKgUU1ENSaQoigC/t/D9E37f8r2Lzf7hTTkkBPBKJ+DZgIehZx+sNd1597O/0s96HOcCS0EVgt8IuIswat41n/JaQwzSpDj17Qe2yJiNYGVI35/6AYBtiNU4peFoz5601OyY/MgpqSrNX3PAQ82mF3eYOdt+kAHy6DCbXcBgtfZHxrDLHeDiFoL81Vyk8+cGPveBI4nABs+m3s+AGqlYfdbwxxo7yTLn10qsZZcijZjA7ycT72i7U9r/qY02Dp7qoLlTB+LqaGb7Zsw6NZSjX6QiEcB/RD4oM6OhT0ESEq7e6gFQg4WWU5SIw9o8aKwXjnz3GJrfZrQWm0vtJnPj8Kwep+RVC5DD1a5H3p+CZ7/Gubb9c0rRjXAZNWK60nG3YUJV2aCMxtQB4v6uedb9bHxwPD9HRsuA3wG1EKnbgXEVmfmJ0rk7gJ9HvPLX3OgxHZYK/Koyui9mdxTufz3qpx62LPLVF5WdXgAbgs1IOEtzT2Yf2OB97B30UYcKcAf/4H0IOFluCDIcV3oshN8dog/IA5wK9brfuJhaOeTlOaVq4vbZPg2LlY7tnvT8E/xyI8LpenCnkFFgU2ye0tgfIJeOgEc7WkyS2OEj18/+61tFcU5tdK/Dza1+nz/ESIAzta/vOjZg108NRpube04f8OTKV9QBVzhC7nzWYiC32nVs7O/Zyy9kmASnAngKa+9Htj2bucRazJs8UDsm+s1RkIWuvoR/3gJ2et2LIqONxCPy8dRmtvU+NzVf/pxXLNPe7HIBEkjLG7wTjyC/w0X7VrLrCu8jPVHcY5vv5HC/1BR9Nh3YSNhqsKV3RkPX7LY1PUIv/xIsgTivLiVrvwxuBnxYEQf87e98ypsIQ8voI5stgXLIvHRNNznzJk7JaHZ8UPu3za3WTpkyWv4QUz14Dwhnwsyn+yvWP5ppsdn3TiB0P3nP8OyH2HCz21FsD0xsgybUF8GJL4QK8yGJMds5HDJC3hPDMy9SpMaOB9Zv94eVL02X3ilNZm79WjEln6Qnr7hh17ZR5swsiJ6fwOeXytlW5u5rb1k2A+6QO4nphR2qfovzwKh4Z5cmBJtgakljDNBaWfnnNpBF6wHPiamtiFqNNpHpS+KagH38+673spBxvWrIrAnwLflV2fordYmT2u2K2fZSIVUYnRFBzf7zxebg78BN3bzw472NEbX0g1rWBj7/WOvpPWPJUwsa7GoisS7TuH9h0bnRU2Q4bFn4X9XggW/YXRUBj+u9u6QEYqL8AiwTZ5S78n2WIggt4LnfFJF7VbQHyPlvEjg970haiW2qqPyqwynJgCdUHH3A+3nVshezF+iplxyQ4dS1O/r5a4UcnwF+vrGo7UiHvL1FSmyWU9l6g9cW8OTyhU2/vUMoYJSBBuQ9ZYkEe0CQrx1hri4Mxou4qJB+1RAfjY2L8jEvePQtFv++08ev9YiIBzjEwp0uKwa/05o6IeylFG3LxmQC7vfZRCqGPIAY8EpZaFMfOuc24YB9HuBTybNePShTB6f/5ZQkkD0Wdd/ylMunRr/B2Jk147JLb5TiPaDqHuK30ZBa0m7ngq3vnjuIzP6dvs14/JxLfN7zlH2bUHS2ZEcys29IdOSnls0pswEr+JVuLoAfrZzh5blnk2qn7BLgbOgAuOab5EZ7mXAM1Koc/1wA+6SAdb5POjmanveS+gXgXw6Y/T0PrRs87yQdvGmi6cWX4xpNFWDNr3rQPvweuwqXsgmSbxn7jwZwez1sWcb996PYuBDfPjKzK0Ek8sSbG+QWCnj+s+pbW4rMJS4/GPx4CpF14ufbiTVPXaYXFjXalzzEEvIP5Iiz3YDVVCGPsuJ5V+YC03LlSnzlTGE5LLnhZ8pqx/2qIG22vumZPSHTIxM6BFiD7KcbDe+3I3r2Lx5Vb73wBuO9LXg4wxmas/8DfNcmMmwX+IyCDLsLNxqjFvrMB71hI7aOhYwyVyfc4aUafaK6327DFcLw3NlgNMCMFgH5IGG4MuBrpX7NOxgt0PMm06ovR8C6ZofKiACbLe4p8mzgAmlt8u7n9YF7dMtGeSMr+mSh5QHHBw6YpHRNCu4iabTV2XMWV99NLxtFaEMslQj0muWcwW/IUEV2eQrI3Fj47RQCbnP+7gGsxOIRrR9VQa6lo+4U8Hr22F5p+Gx9O0hNfG4Bh+BJCPkUMIuNlIUSiGlmh8VTe6J2pteu56dO/kkkB8pbeC7yxjU/i2juMeT0rCM7wKV3PLYP8AlEOPz+FV1pn9yryOsBe14gxn2fOv0JPBx4KGKlSzbABUhGWz/lU3sarv/NSdlmhlfBd2kGT8Mr1NuAuXfKJb3ZF51zH7CnvZx4cqi70CLD/Fl/zsBppdk/FO5tXR7sSWKI6pBD9ge7XER8tp7+htpDJq6veYdHzhajc/rJ4yRr3LPVcI7UMA/Sbod0xR0e+xVHk7V3J+CriNTA31UHnHWY3nM3vKhehylgDsjZVxXagFFQsbfujtHVk64uDs5rr9l8znoyUAfwc4zgv7HdULUxM5E8bt8r/dsiXbLmASrp5/zF+knSIfk6uPpdiM1aRclV6Glmbr/wv3Vccx+ieT87maMsONeOFT/x8FB+bnsR8jeIA8fM8qK8wLMQlqf6bAOY5vk7wf+qCrhbGs1niMcU4tyOWP0lpbu/+7P/asHlnP52S7u8QczZM8YH6bDLwS1f3/Xc8X4qkrRaZU8dLyRdecutBTMOKJBtfaOTJc3ugeC3Uz7zk9EcasH2+ltTtBUbSQqZdlFBCJ+n347U7OuYCTzXDnilL+GEXzV6OrIH/G7AJb8tMYTwnuW+tuyiNLrrkdnX0BbmjoH08wDvJlAW5qxLV+CvwDumAnAbcITlZrrhpGv0wEzhYrs3+4BTxL/BX151ojTTvYWp/8WjBTcMPIZPVoN4YernGfVT8HFN+c4ByrghK3/q7aRdaCuO4tohOxbhfm+3B1NzJEYPZ5VT5Uiamj2CbmJxisKXf0mjGR0lmFpoZ3oC6+GPZXhC5QLG7vB3VjReaVkWG9qJDG1MwAxKy/6G2Lj5ZwtIBYClRgK+f3dEFLoQL3A6+oAL+g3gvtcd0QfEO2DYWgNHBBvXjLFkZKGZWfXISXBzBzs0I/iZ6x+paAPIyfPxfXvFgJfYqhf62EoSoagxPXTa/1Liz0NRbvT0PlPaeHtHvXqkVxW052b45akuAW6KIA/iS6ml3RRopYCbhE7oqVcd2PQ3WdWVMexnRqtCyzEzPR+FMj0YSUZTQGToqrg0ewBm/phTrH8vTfzTtyzrlTkn3d65k/SqwPCeAXtQ/2bsrxZybbrSEcFvl4VzApzoLVvNs20WBe/rxLkPuZGwIvHg10eN1fpggwce4e+j0boye6nG0PnBbP02ApwWnTQ/cuYtB2eunvNCAz/iTpZk5A6g1R54y5oVqN07OqoBFzb2E4tu8lDiFLCdXPlg6l35Y/4quXpAjM24o/3aQi+bvwHuq7IeBfmaLGm02aTOL08Ov5xKmP0T9sJGtPvbm4BGc4eeQ57h1nZNB6UBbX7Vwm6rOEkAI3U5b33uTg8cbnuG1FNHQPU/M6rfppea2L1HXBQJunOANxARlBbptxbEOckG5dX0z93owlPkL4Qmfbn+gdiAcyLw7kj1RFkyMcrf6gC4C5Vmr1mZQ66VcVuKXr9yZVEDLychqggQFviaI7GTSkXqkhXTAXA8B+5x5iuGs1FfddC+HZH/lhZEMMjDpQW+FygntzY2JMqRBORs6lrA3UQGeEswwEF9+NPnID6330b7FI9k4S6mYH+LmTk1Gq2KhWZeu+CdAttv3RJi9CnW6QkZTd1pA7zz0tjy8Kxhocbc55/hu4PSneamQ2B35KtyvNdc2zWPvHNuzQ8VT3shMKe6X9L3LfqrseXpvFM7HHFUhb8g/id3yIV+HTWLoGCTfPpKrfYjjfg1jVGSWsozfW4Qow6QR+NKoDPgm5dtCGURV+qd0TvKq5jgbJCCm7ommjZqQHdp6ZHZEJvh75cQb6qC76XQf3V61rYSRTuTfD7T9a9mCeCJIxuBV7NyMfPhNNz87NbBn9syp8Br4d0BZsBVwMNcJyvT6CYB55q7F0w1Bzv8gHwqjgJ9yFG28H6GShvOisKMc8G6FrBT4qcMMBmXb1W05bXTOvDnXufFM7cFXh8CR9WutNJHMyS98QFq+kaFzU+jbhutBRcT+G3pYY0iafsj7//ZQty+pawt4OfcamemwKVbyC1UDRszb/4wm1xeval4RAuHV51DXMxH1B4jwNYWwjXDJLW2Dhdnt+6vGyoQrahK/mptJy1gwtXoIQMPAmyDP5g1BaSfkOoXM9dzIYN9BU7Vl+K//Q4imrDoId91/Zr22696Nf16BPxQHwHD3BtEKO0twIeLaWp7HAX/YgJ4WzibfaNtOixmpxniwnZrK3xIlxDuWJuGIaOzwlPx07dsdllagCU/wS/hfe0WyKKHY6FefWAOFTaFXBg3jAyKtfnBziB/TkPu7DxZyCHvUJGG25AHqgSeH+dUxyoEFg2+fhTS9OD+xPk0ULnRJc6H7a3qpawsiD0U7ChuHya2smiaVLjd4QB4lQX5cLALFv5xj6E67l3imX7S2tLfcKaMORh8T96bwOybvrqAD7x0DF99Dol0FPCvjVdr/36E3IML34LYfSl7Upl9FMQJvROTRn+4SJ2kVAO5QjTZPHsGu9Y/BqV9cNu32va/jrHZiVouYFefyrEt8b79Bh76mnlkEnyUC7XLBPdJAXYlQk+JLfB907efLnW07SA6mvoH2OZTH/J8Cj2IS9tP4K8XbvNH4+i30uyOc7ZxI+DcmReWQEz5MM3lil41qefueuACl8rofiOSZ8I+y0B9pxb5PjEPzv3vHCKchZsJlKqYSMipX6eYzNWQnBumb0+M0BtN3q3mkf6mg+4pJddMJ8BR7Vff8oax6UGRmksxT/C/w4r+XonzExd6zqbhiNQEcSNU65+1ic38PD8Ax7pXobfyyKvg+96Bv8elteT4sR3YqL/JwEPwT4ix8memOHMQghyXcKMHu5ZOapveIPuAeXvM2dnNwMNzFzvAUeHMf99xlFz+9VSsTeEX2PHezS6/U28/KPgyF1sCWNrMwa35ylaIN6+cEtUujsyecrYmdrq2MeTnFuwUp+BPmWN6nkj5D0/cCeQc9j6PZrclfKdQQh+IdV4hTw1GGy6j/Q0DD1DudM0Bu+KQ+Pl//Av+nYxzh91yJ3EhF/oQiz+o3frKVl8lcAwGfxdw599dirxZpIuueTgbjX43+1dPgdgP/GMLTEOGEOfuz/03ph9Yl2Yn+muXhF8X6FFxncH3DOUqV8baT8qMFifnTUEYFupGnMwCcidwT8YGsGru4JW5yWDeu4C8kLLrWvbJDnx9KS22ECfJxFNPMl0lZS9sg0vX71S0ueT9Pw1+eJMVcMO9/dvlIl2bYYqe2jj2JOq4vx1W5uVFwitRrniVogJLhbjslaMk0kJfhOsvsweDOHKf2oT/zx5wCwelV7Jfq6CqLIs/SwW4/dT5M8QFh+v00gxblpv+/6eNny1ctF8s3NlAMSeulYY4A3kNA27d3Wujw//5ay35tBDgH42lXcx+7ioDiHJ2DXFKxczlNBkru7ex+3tj9jnXkV7l0KLc5k+9pPzZb4poxv0zsZ+7gW9HphKjKW70vQyGTgH3p4Cj6UoWiCepNG/7XzyULJFpMRX7tbnAGWnAkxuw8aJCyZjHgBms0ONuwjAye2CNLgzk61gmR9H2xEaVjCzHaEgTs2ugMz2gRj88+UjHhJo9UbWLXnfLRT7IEM7sXgMkOjiAJeC3Q443tWaf/N2fdzOaJs3QQo7wzC4xAs9bwJk/wCYueDX9YOdbbamvU5SsZFT28w6Qk0UyUqUavepf+399XlO6/oaYPEE+sDwxTKHZa4aLZFd1oQO45gIYM1EdikmBNvC9TDlJLPgE+X+6NTo1+SpkwzaAfH3IxQ5yUePCR99kJB8/uFcnEx39FfDt/VSgToy4KHt9JGbXsObyNKrsWb8xu+AAk1Rmv2IBOYr6n3T8fTkV2AJ8nAAu8U8hWatCf5U6cUpnueQFoo31M+8ANjD3B3d3O3E/PIbS9O+MdLBZHcizQtpwwQ1gGU+Y/prRN5y3y+M/HnBDwqnpZ+XARXdGm7g4xclSFuhgdG8B946Zszyws/vZNZaG5FLm8wLcZqC0/SLABero1wI2+Xd3ZkQkDvGcQkwCPirqqH089Yn6JCLW1cWDZ2XAVUrLA/+VQSm2LjH7/WwNuRClhxXh1/2Gouj23CvG0pukbSrymQKvfs8cfZRCXU2tFOLD0uTzgzPIG64sK+pDLOZ3089L37eAA/wLfsxHiIXtwey4eNXHhszizo8+wJgOdpIHyq3d8pJ26AC2FJ1oYpcCYpGZdxogDhfcZsPs1uHmnkZK5Bqber9raieVsPtyaLW5dzVaEYATcANY6q/WoidIrF+x98giMxMFv7dIItPLAnHCxAyiEI5OotyU/VQ1EMWMD5h572xASHA+li78vY4zhXzAj5KbXY/SspyDdb8xR89l4QNaRTQVr15i02+DKrCfgsdG8xnjfJRHyf03HNqc691zV9+zX8OevvCQoMZu94CRboDbFxx6ZiYMn3RSCPTnVjLvdhKtZ+41CQO8Odiz1NkL9z73sKsAfUO8/RRCmd4Rs6ELsJX/mQv7TlYi0o67jVaf4DGEu+pAXCXNrIiJV5wn75BzCsjpfmUrU9exAD98NBHK0057pJ9ffcsHHKMJ4vutyucbcLYcuIJv9iiJaBtnGmzUxZIVZvZp+85jkgM3HyF/bFiPDtjyCuATBcRHo1UL2Elt5JDeTd+X+osvwY7lawZhqCOyoY7X1Stgb2v+PArD46Rgj1+P1PEk4MH1BDl2v6o36sg3sPEDEy0QlDYHTnPghaJpdHXyFd0bwJfSao9VkWwayzM9nG/HkLzuNyw6LGszhjYLf7lm+xuzZcpDiCEh5qLfLdLGn5ALzE6aksfTJ7aBO7vIA9sM0uh5t3mgTAXUaBBa8I4GuVdsu5ba1NNUlgfpK1f2pLffgUt/0sHaKMe7pEFSQQweqkgdSyrN3IB/pOmDU/jdltwA/5zqEItyTMpmbc9pD7homA13940Ov9FAwqt+V4jcxbDExPZfdSKI47zDxdk1ugvYlcfcJZRYpn8LteDnd7Dpu8EojbVswH4AU0tXhLzY2wrwn4yM3ijkLBNXC8XPntlxCGeNM8DLCrWFtJLXvMP9NKD31Fr2Ymgh+6KuCpI2E+0IdnLOnPmdBjw+UX+T/61nmfkj8yx9ZUvZuIAX+YRkAC4HHpcXfAZPhFym3lkP6Izz9/+ZyQoUgjyU/1pPwGGzUX5kvY1OIZ8NtqtcDDyYQwzgQvS/Fvw+ZyRALe3NPTY5gO88xPjnAVh3L3q8oajdqxWfy37+Vraf7B27ldGPRuvhGALd7fmldvWGRokjHb0R4NuAmBzaJweIERsxSowtDbaPi3T1Q25P1SkCjtYrwAZ/7lKcF7BGF3ygq/o/N7CwS2X6tCGGgi29sCiHvPaoCrbJXL3Au8zMrm0eJjlxlr2po+bP2T9rqcNW8lDdVIzwUxult6V47pBnG9rbb6cO4pplLafQup+icJEReL4NGFZMr/zliRiNDMkWnoUQxL+aMTGziV7deyhlZG4Euij3bOcO/6ZsSXinwmOszDyLEBBLD6ucM7ENDMbZrzhqivaTdzoDLrA5Dd4OuOe/nQvXO3aUDzl3qty2NTWKvzN0c5XbCD4rYRLyk+ExTVQ6dddawNMIcD9H2dO+EUAWgGILMbX1yFtpzXuMEDE9e4B9Y9Ib/d3k8l/vwdavKP5Qg3cHLu41SF94ZHraZ5dEs+asvZy4Np8VAja8kQjwephMp54seW/fU/brDn69piNCKXgrX7npqw1EJN9q+ntp9I9tTMeCUFWo3SlQNC92Nv3c+qWbfFdmt+JzDlGVTdws4HvwAPKzjtS7YrIjITo2GpW5qV+xLS+5tKpVmjphjNFUHFxp7mgn8JHsp76s+S2l/gE+58ABr1Frs/m7X4M5AimwZ0ng71UYsMNfPeatxKgNcuadMeWQJz2HO8nQaNxj2mYq+LOpVvKRBn9cXoQbcyb/3uFaB7zNHYi/4UJIiDHgOp6P/nvTtwIw5YEWxCOFCp/+AjG/6Xw/H5Ku/K8GdYW4JQFK2WbfjtGnBGwiVeT1VdDY3OWvXqwR3oerwN4AA9oq9Bapf2+UOF+w0btim+U0TC6NG+AtMhKhNDm45WYHmYMGzOXR7GxtgtZS1jY9iW1OwiXiRQsYjlul44UVwq+aVC4K+d3o84WM/YVzbHR64qYPPcK2RA67RwOxTg2Na3rWsUAtHmY/Z0RCbMwyBtha6wdgS8AlkFOd8+XUyaee/UlwwLG+JYNXzy1g0RB/nDQORdff0hhyF8M3ESSXrPMRvJ9cPX1gudM+vRuOA/E2PUYT4OrwniJ+x73RlZm44jJuItKXFplzSpYK+JXZI9hY9qsH5lsJyVQ4Ddj1LVH4z/5p+HtvzCVTyg0G/LOB3z/znt3BP0O5AlZFwLkCsqsH/iEtPKZMW/nICQ1b+P8JqWNe4s9fi5m359bPDlCRGdTN/vYGN0NSmDuEfLguzx3xvSwg0lgiKi98TN5I39wlxGnahRATrE0aGU3dcpEdJsBx31UBv4hmt8zantNwe2fDAhznv3sbpRHfu6hIWWs3Lv4GX/yWA34nItwARkSAvbSIgXuF5eMYt5DTk5vipV0CTSsL0y+KbrVYhrLDM2BsmlK1EWKzZNY8Zpa+ptH80p2zspHfcMcfWMgUs/OGxH82kp1vT82GsfQAAx5yG+CPu1sYA5zr4ocI/E2KSMcLVJxCGaWovbPu973+73w/uTXrRthJOf7s1ztTPkFcV9cjW/wmlhR3mFa9PFSOXFUxVcf3bdI4W/evfnK5gn2ZfhUP/lxItX/gXObPnpfibOYYP05ic6MByTEiomEJfAZ+zbX5T60BsBd4Zvi89pIO/MjE/U4EWRRbOvAn81wV5thLw8T/q8fGD/A+qxNFPQU8afqCMsALtYu9g6NDEgCQZcjs6btU1o9/jZiHd47aHbXs6mB5HuDiB+9+uyczuxXyNB252bFAWZyYme8U4kjCzN7wlffY+fPsAcXWr1VFz32VWdYBvyzINRXlyuM2qpH/ypW4AS5RD9seMPjXSfstcNShFJu1KYhDmZmpNHvHVMY4vGfOd3lvND81ygYVH5zZ7HnEqdgCfteAQaZvRftbM8ge/vySB/6iLPX6LvPP/Cbf2qWNbwTiH7YWUQmd5/1yFhQ9jC5SZmPgrhzhgrSngVwbNiWVswWMZFlAujbYBqZk+z6lzYZHkKOsLZw6LoCnjYD5X3FjrHp02TvewuLpenBajYvQyV2wX0FaiN8fOeUb7PKydBHkiPRGbN1WUZIqsZDMaILSdskYnhRCB8DxThpgVltTXrL7mtntFTj/6x77vzmbSHv1sBwbQZwayT1l0xl4qYkhs0ASAxdqgRMJ1ZVmM+wKOCeSYAsU+et/sdqr4HnCY6E+jD1j03fUqVdfSsxsSOKBTgnkBOCD1mmQlyPy35Ur2TGeIDYl3wYPpb3Rh9ITKfACn1MBDgccuZ3qoH3OO5yCVh9RG1ELb8z7MByDRPqDiZcvz0P2V8MaAT8VTZwAXwa7X+X7wVlEzuaH1GiGvBti27dquwfMxVdlJxsc2SZ3Ftkqy1PYxpT9sdiQfOwtfn9quRRTIanvqug/rsddFJVrZoGv0spBX6WGeNr5Dgt3RrdjaIScMdtSAs9QDeZuJbvL6JeZKXJpCO8J6Q/l4nfGWwJx5VLxpMpG4A2UfNZ/57pfHNYiPXAzo1ER6FYwORI9wT/3S0Jlxgsf7Aa/Z+y6An5x8r5fZTglnKf3n/t7DvHYuTtq/HMDfp4B/5en0Wheq/0eOBmJkled6Jqz3gJ7PdYoNftgnzV7MmxXolVVirYigB0z20d15CVUqJA6m0UWvk0iO1Qi80q2CDjXQvaTn+XbXd3v7jLU7LmHIfAJYIafHulUcC93NFU884ChZDTfAtac3sDuv5WzGK2qsaSJzW0M8Ub6ZiftiU9h0zduxluHsznMjdY5Q5Za0wdFpIRz+aCDuWPaPf7TB7h6wM3J3plvED8T9pjvTZEUZicnNvtqxnYSsbpnHDjKU+syeTsJxWmEHciH01Gg+5HZ53JUmxpNnxLhpLR7J7cSJw/tQw18/ghs5ZUrOVdOWuisYa2TWctdrWw5CXYTg3bTLjkAPnmrzb30oDXEaXN3rysmb0/t06H1qcNdifpHyqR1WHFQWjY5fc5fdJRdBf+/YdvXXaXpT2tVnC20gNgVyIG5fvQzezuSqtTJF7zHs3IAqzCNhUggJtisCSStg/ByZICTg3YHXCbg1lambujlkTdL4DeMMqfpf/abE/bUWuT3U88zwIORtJAP0C9Sq9GfKG0R9ReCpg/ClC0DsydFfjKaOHSQKXFUmVMk62jas5B5UpiZRHPvtjB42g2coU+HqfiJ89aS1lS9EcdGaWh6v/WtGaVtNCwbx372kyqDjWJSmdkx4GeB6Us+0d9Otvo52BnPGJrMvDpwWU+6yUNamu5dH3A5YiZ+/PuurmKmRoP/60GPEo+hfuHOYvERnYHPF7RnjwYpY7OfUuBbA1yDMVmBfabAWa9pv11KNifNqMYGkTem248m6F3x7Md99TrOn7VWTOh0Q3oUs6KlTEwb+ZyN2NKT0ZsPt0COkmlv+5uaSS4LuVHsl+m/i4z2omC/gNf9WQHLVQ2VQ9m3bt4/e4v/9bP1y8vmWUzCavh1YYHR5P+9MTVF8PdvzCB+2fiRA9xXvek51W/PHVAQ3yo7MT2nQWlLUo/qjgvt50LunjM9Jm6Y/h17Wo6iFeXov3oCA6nZHTjaG7cTyL+W6bcQpTPPqW6jrNdmp8WmAlxAVoiNj9lRFGKCTkrgp3cwS8Ai8lZTXqlw8ShtH6mY7LqfcA42BnzRh9z+6hfdqFGXeefPzCHtwUYPbPhPmLi5ZUeAqz7NDg3C5iANCIUYMHERAsf0zM47sM9ENzZ+r/rlQPqnj0RysFtmtPIgtwK+acX4oxX8Qbgvyl4BXpUJidDBzGGK4ewAb7gZbXE4d8Bg6HKwfjlHiBfAcEK+No/aQvvMmRH4yP8xda1NiiJN9y9xkY7x4yAUilI2RV2gvgFlDC0F0t2OIr/+zXTWft7Y2NiYHbvVIjPPOZU3rBUBtEsxxwh8nySgba7AQymLKKNb+8rdHE88fdM9QNTgfmW8WsyQ4x6vXTvQvy2hXe2S9DnHW+38IiZjVlzPxcf1zcR/HsxxNc4N5wpnalAOPGxFRxtXCuKDIEcGihlnZf73Xp88trcM63H/zV/baqX9A+5P9X87Zqy+qEy/hVvdjez8Jun2tNdTM6aqWWxX9NUK86yN5z6azXoqfCkyvvNlwirjY84f7+rSF35FBuJrEdmNia8M4sCxSCa791aBOZPJeFfgns+ZHTFwDkefSZWRqdCxxtliH3rAeZNXbkj4TYc74IQujuLXgzvBZxZLH7gOKdw/8w8uWwu/D2Ir0CORBO+gYTTOt2QOGfPnPCiJc4mP/AxMfLQ5V5kLHD8FXraVw/phelYDBqXsrEGHMOzrL0Gbr+DZa34mpNiS172oPeHkyCU8Hxy3ZDhXS1Be4M6mhF1fvi09MC0RLNng7nESOMTLURN7yBJLuV/5tQggjuL+oMuK4u6EIciFR77Ef3MHX3GDLmQQcfsAuw+oY7bcS9+4x3LQiFkWz+fKAT0a6XuLe5aGNdZoYl/BSlsz5s/92DqC96+zRASZExSmDAOjCNMj6M4Y93N0r+8leOyWEMNU3sskd1vv4BGGc7bNmV1aW/nahnFuc9x98mHi9CEJ5vAlUaAdJOBcA/ztuLXWnMXSEBqCdayeuVT5x+EL5sXlT35ZC4uxRYHe7CT2MXv53fB4Pkbtl7HVXA0Qd5PYbYdgJ5/xz13VyQR8Ojy3avIqD+v+4FkAl6Qf19VJXBYtwzRz5huY9gc9hz+1Ii32hBA6PnfAKMDOMjxk0c5rk/khLSUiwT0xzj3znIdx1j7trxBbgcNE9LP1U10N8gFn3dU+mVrwT1DSF6w9EAtwb8nw/uPV4/NtHMAomX4KR+5zDrxcsYcYd67oDQVb+Cg+1t5+SScT31f0TAKIm91/uL3dL9mqKiGGOfFN4H1NaT9xbrR2cV5ICt9JBNJ71Yp8uycehnVJcJ/yV+PQUnFWChX47GyYjkILtnMscKY99iG6KQPf6TPHvEtlsI9kqIZfHovlO+jqmfn00MLT3C/MpSTEmWtfPJKv+yiSP7WePZ6G9MIFOfCScgNnkcnqK/fA90TagQb/ypUNM/CrbGHw2glw05UniXu1JtBb7K+O6L/92PHs04/vuZYG5+F+80S+sDI0DoVPUt1bnJ2+ne4QG0iOvZGWgk5I72oA1oc7dr3uX/6Zy33Fu0Qm0zfwVAWcNaGPNXCY62c1kI9i6QjonLT2DWgjIgv76kO8Yn/Q+bgNL6CHlpq3S7GlH81CN9wyVSTXEvNdubSg31L2r0dLgyKiGfj2pxzmUguIxSXO1TFgX/2qdSVobn2WZTfXcQAx6ZVrAz3umgnv0ytn3rCffuXKNYnRRpKaDa4rFxnTsbsC73OzPuhzy0ruglY997dmDG0j1lXjh4B98vPENdHCpe324ubn9B0w8DWD66ZKDZpt9+CLxHl4b1iDqgc5noD34i76o9zN9SC+KsAzKoJLNdgvWpI0903OLdi5leXpY02z8bJqyvQhojbgOIsqqW4ZKCB9Nq8cR2yWLj8sf/znHgT8V5LQDF3d9vNzvitXOMNfI6Zvi8R80SHt24+13HtpaXBvs1qLvA8ugMHHfHAr2d/vtTL84GpANPldD/oVowah3P96w779NskD6rMSd7uaKH5I+MGTZclxa96wZqIpSaKxyigRXy3OTfW7PC++76dxWmVOugd+HQoCPIHovIkkaJZfoNv7Vx62qgmdVK97/sxlYh8wAU0MZzSa90bETiv/APdzVo03JdW4C2qpDwxid27TTpD2hvMjK85eHO27tWEJnNVv1HTF/opTQn72V8pSfgMelblLDkeVZtr+8QEDBdjDromNA/4ashjsUcjk4GSeGCjOKD+bmOQVb/2WyK9jmR4MYETmtrNY0k27Jd8F1pc4BPezvO5tHsJZHwp41o23vgJeCyFlmMFnbbcWdOR3cFikbZOurAbGTIJ7LlkIfBF3aR4OTvpeeeyLK5c89zMDH2249XBPBBeBv3cvM/j+S1d2dAgeuc8c4MsPNbA7jVFrXUtztvfKv3wVbuUdFu1UeEf3rCVhH8CbHU0m0PTs+5Q8d2MC4lqcd+6IrbaZ+vZOisyZt76fIvPSDiXWd9Kziapev/F45ReuWOjwa8Wc7gGcvZC9GZv4mslIdyyyrAAszH2baNXDa1u3FVNe9M9dfHsVkRL43TlXNITnuwPOPB3Ln9oDny2yxHqsWs01V8G/nRhxugEe7uiegbj/tWSgRXBXn7R6XzjdDuzyHXdmSAW+WtLPfFjT3JqrKW3GnF+uilunVfPY4MzXxb6eV6g3v5ZaSdBwELuxtytOVzzGPcnyrIdrrcrsQc/UFcJlCvCyGiG6LIDIJVvlj7WoOOnbsV+eu0DIFB2l7tqzPcPrviGuhcApX32juKsrFA5Zct7VxqeVisJjpubHcw6WmFfSmUVe0jhzw2OhvvHe18sicgeJ1+MMSezpyfDOtVjvJNhcXVKpRRbQwY3gu5XM6tfMz9n0cnnes6ipBJtKmKuPqEUyUO+tJ79y7KX2RFBv2UNGqa4JW/SW6bwn7xrvJXrsFQQc6ufPY2xzrbo7hGq3FgQwaQX85qcH4a8h7JsNmN/rIKqA3bugTftuFD3WhZrsmIDPecC1SnsFGw1BI8gW96qOaY19FqLH3RV452euDPsJHuvkKOYH8t/cw76LqXrdLZ9wb08p31sy+UaGQ/txzfFetvX7WfvsOxvMN/Nx7qY97oFtgN4OpMqRA4/AVyuj7A3weDgBjmQjWdQInIuED1lmXyoyx8w3r5pAiBXXGFjuUH9ce9A6CTBNYAIT8jO8p7kVi3m0FnDN+YbvIt1KrCXoDNC85GeHCXy+hAqyzRdZAR+TSq2CgwfYDudrSvZzt1zEFPd+30y/jlUfLJgv0c78qPBOjoSRcXavO9q5cCno8hRnRewyKx1xJm9419/gjEq8G+tpfAJMOp27vAJuDHHKx9znT45+yby9O9Eavg3Wfx8VqUBDCulATHLZuSD6HTRX0fhpr8UsgNNybUn5vMeJV+5p2x3hyLc4SyEvrpWOp6lwKo9a0NfD3HGfvPph3ZbLAWwqbCXwsYE5/2qYzFhHXSZj7EkNt3rpEtrPR2ApQwF2CCqtPsZuTUdSHrzLqu7FnScmOvUzTlIu4Rz/wnveZATMgPSvGmlZDL+AR7EdPN+kLVnHR7nNyt2sStzZCzhVVgvwwAfoxJAluxV31h9cOLjnNODO7IA3fWee1ogh3AUb3bLjwYfYWxLwaTICA3BeeViIEftT4o6GtD717EYPQXWMWcXtBLzSTMbFmfxdjXsjwKb3zWImxGVdTp/NGH/VLohgsboX8URy0KTicf1bcRNLnJHod2VTylfupjTx5MGZYa2pU4jvRwvauxGM/8tHiVUdw+dRGngGCQ/evMttPO+dtODl7xn5CLXpXXhd0Fj9nnlz0owStAilWTI9gMdVOJv7lWvLeRrUg+VMyShz4Dwt8QoP57WF4HPGo+LK+VnPEOtB716X1k3PTZ87LeBtxm2gtlKDnbz2ZzMt6IYu1HvukwKpLX7m3F6Hg7f7okLak0q3Gem8ArRNO6SyOlf+SUwT+PH7kffLcx8zZj97wC0JGsple8DybYETToTB2oidEN3ENtdQJu6eJgARDljK4/qzuwo0Irw5SwBLEJTDLMH+AuBEah01zjS1Y3rUkbwdY1NnfefilF/pGvcoQNeAXsrG3hfnkNNR1obLmtr+Zs76CJzoWgmzyxznFQ8JPkG5/MEc06MtxUopQF7geYApx9rpVvL856vwcEf35OYe9TMv9k/E3KmIv4p4XeTO3QNcr6QiMZzNm3QoZe7FbbDz1beXRv3sbE3lmVi1Bb7h0G/4jpeqzwPtBGe+nTBOuychIyq6r70DmpiHH6qkuuAd9u+9gxavaHGNuEo9QdjmGBNcmoU95n4ucB+0mbirX/cbk7YVvA4+ryUbaae/9ebXHXz93sarmQ35jHk647CvIrl/yb7bGUcyURqXD1TUJD2CrsP+s0Ot7iuwl7AS807BuefDBJxdY3R93WPvAD+AX83vraMxn7vJht4HzLQi7nwGhPvgXc9ZZL94sb4zZ65pRKpTDNpvod1JdOALAWAYqQGrc67WRJ9jD3jcxqjWU2OY5s78yiHaBjhUvqSFjvs7vCbMx5ABP4P/T8bW4i4P4BXlJICj3bWVBZMpEb0LuiXG+2UfsGTQvcV7g7Ttg7px3OHg633zsT4Cp+rbhbz0F9Bo0NblNOuEfbae2YIewfmUUd7PnexFADhd5JK+Y95EcO0UEDDl0p15P721OIcc57g7XQd8uzdYO+uwQZFur4V5w/ms2XB9zSVmiLPA+6JGgXDDWXuL/ajjboLfwwBvryJiUYaYU6wd7hBxTNa5iYMrzqFTPZkNmbzsY/2hccef1U7umLEdXIdG7YP57AJW/rKNG426sBZ3lwGfY5xJFX8DJwK/HHsXbGWEZzviDAXgFLQtbZHbkDaPq0e3OhCchExm92zsnOPmmoPeBTzcPYBLfFCVptQ3AZfylf+6CIeRGsInHaYPNeL9DwFdQp577TTOAifxjXk2P0YUOJI8as92jdPh31W1cEfgC3Au18+2B2uJpMAZ5gbnrwqy+fds5U9NezEEoVEmgyc8AI/at7G7N1u2mM0aCGF10057E2R30xAPGpdo4DAH3NfJrRY6jh3483dR6rnw0jvlYoE4soLY4mDfDu5023vZS6eAjrM+TzrcP4L7pDYN728Hh8JrAkAGeEZcHo5Cy1qRj1Ni/hpFWe12JC/NDvgeoaQb6t580hEwhbOwcdIt+P0R/HKjvQlngr78a64du2mc9lENbWAA4YXtNmCXBR+zR+sANx9mnwpb4gwAo9Z37dDQkE7jnDrh2ImdUaWaa+XJI/CPT+BomVTTTEfwlwE4Vyxfs+6Bv9ibBK7VkPAv5g7h+Woep50CzlvJULSjPYBtHQr1C1iIgfdOD0eJdzRyAhVeVCOtcgEaQNAvnB8vIM4U3sRAMx7hnAjElJcvv0kXdA7YHejutBF2wn31uXJj8DvvNLhH0I1J1bMPYMQP0+u/h8eve3E2AdjRzH2wRb9jWtqcWXtngoYc9DEEptXTNs72Krz1yzZSqjqabVOIP52fjy2caQax5XI7WfkX7xbU9gLcIB1YbPYc+/GK9XRUdFVbceOe/FRnbSHe0pPF2UntUjuBkqXBGeqh4PZNLuyVX2Z6QMyRGvRBCDwWfsKAj0iIw7LHPpZW2rr2Jr5fbFX3YEcQe40HPunbrBCurstpqt38S5XaqT0bgx+EPJ7emnjn7p3eK9wfvgG8EFi7Z8dcyp2Jq0WdpVssqVso64Eq+lSj/GDw/m1M4txL3w5Op2tXA7ujh0KYB5zZowGN0cjp0kgZC5ESHVdfrYLnFeFuyJ8ZkkcJ/A64XQgaUtc2vdExLSsx3SFmhRC7ujoyvVLXPfqljMLu4JgB/in3j19fWamp+ljDx9QSO6Procsyr1NZSfMMd8vHxMuBZ7/uHOjA6swnc4FcXEw1aLoQfPguhVvX4Ne0d4tczGBjdt96608h/nxlkpy5mDnYeKVl+Flv2y8lpyCL0hhi+Ib23ReNhAv+sv1/+a8P0AM3sMMHQwxN7CTODLQN8DXJCqPcB+O7uU6Mn/eS4rxKLv54+ZlVOGegju21PtM37TgBxM2QYc8c8MRnnQMAMPCibRb/zMWydULxvv/WLNTC2X/RxKbAR7+lMqKQ7BuwJDl9rLHO9Z1L/Sk36+98wFm/IsiUdeQYbkTfAcayG+j7ATD2VnMbVw6dc5lej1H46jWjUk60GLr3xp0YF4ToKB3akmRqQM5gOyNobLyglMN1Av+hKpkk8NQ6k4BhA5n23v2e+2FVD38WeM7gn/BZR/J37+1ue4h/KtGv+427AT9QCRsAW86Vp6UazBbneZy2EwP7D5TQOdihX4POrMo0kc6VMvCnql9HPNKg6wFfFfblkPdj1K+acoI4AnZV/PKOm/WlieVPzRL307ngLMh6ujvFpOAc+4DN38rP760zn6u++8iBvWNfW+G44MvXgcapg93tx619sJHy/3gTQR52LOGsY9cRXnBWguXU/dFf6bGMH6C3CXNTxbyrrdxpp3vwFW865L7scQ+kstlDgXY6DYac4jYQyLEV8CQX8MxHbmrdWpKNEXFQu+wOcSPB3Qs45xbw5tUXsDHgk6deRtqFz+aZjJU6hLg41Av47LC+6JKAQmiXzO1E81grPWqPjwZz9klu/82wrpNUSuw3Um4CZ22r3v57bg7gdvRzp/dR9PrIkzkCDfMm+mA0SzeILdm0MTDByFxp2Ung11d4X+zBmnKhzwff2ho0GgPNhfq/chyv3qZX84+rBsyH7/6xduBzle34mgf7vTLu9C09wEnSBqchWwo3Bb3YvVU2XQ4401OkV4a71nFOtadvYAuMW3qonCvetRV8i/szWJol84qLNAa7OPPYMrQ53L8HOPTKp2xBI4xi3C3AJ3csliQTwRX4kMQ9Fzh7j3pTl4vpPXerQPWyyBdbADalmTRukdg5F3IUg40Y/x0YV04QJ2rht/cc9yIowviYvs7wuQ/7mDB4CuRO42kjYv2OHI4n9Av0R5X54SPvbQwaNgLtszkKift2N+Ic+4DbPnNJwDz5yCAG1IB/oI10E9v04Om3YgzvRX9/cVGXb2NPlMzF+omjCiI64r0r9lKS5Nn7EscP+N2xsLkD+A983N0fkykoIruiuKfGMVwV64IDHwHsAmFIrycx74Gzg742E1N/fu6xGxU4EC4kxBPQaPKeOWLBOgc42zfKGT044MuoZwFngc+E8N9PiPVfFOcgOinmp760vDgV/D0l4MM9KQrnH7etbCe1w15nOBUl9RtJcL/ApcH4GVkLMf89Q25XaoV5FOy7LAYgHz1Rxdj5zTaVGnv4MNfaY18gvIc0NfjuCtjaF3BjLsXa5xZ0AjH9K08EvDOo4xRYj70UwAPB37cQBzaAgyMr21uxTSHmgH4RjLF4/S7xjqvsPnniqjb+pyXMQF3QRglgN2oX0LVuV/Dqy4wp8PKfXk4fzskTgxtXY4hzsSfmZIFKbE5jcqQOYmxXwbl8Fr5lYphLKXrg8BL8cbpR2wbNEt6aMtxkNqzMqMEX1+mR61X+3OnSwXm+9ptfHa7m8CjlF5zDIR9/L2DXG6zbLZKVA2cyC59Q3GsKPJDwfr0HThjlzjqi3ndQwPMpYtynZV3Vgz+P6RaexeEkDc/9asY6X7yXfsXDk7hO6mz32nZLZQnO4AoLN4wbZ436gAoxU7Gwd3jW6tlLIQnOG6zA1++M96vam/PM9uBP6RbvatGH2blygAfh3t1zO9DXHBjgTrObOTZo+vSWq3hpRqYrzLPGkz4BBwMNgc8kEcNuVuKa1xzYMZkORRlSuWBVKLlUZ6LY2Sjwk1vxWAftKJfC1ylX060tfmZ9VMgHwEbvOiYUp5kJGYa8T+1xq1mzhefgplSSaZt5lztoNXEkJhUlldyfNGinewH68eC5AyXgT6A1W8V6wCYf4lfCeQ9q+AcrEw1nxraEt6XEfUdgs3HQOEQDb6hYiT38JAE/rauh24NGe2tVum/76wZ0OM5RomqYKdjDMVMyBx8moBMLHsl9ltydAviHWdirLiUsEtc2wEQA7oGnsiu1BPwpoFmkS9W7cBqhwDnhoCEj7dvwJIIV+G2IcysK1QOrtZGw4aDi1Mf6AXbG/l03M7YLaDwT5gQvLiq0mncQgy6KkAslNszdJ/ZktA/ObZk7jVr3uB2pUvNHO7APQ37PTZLfgWd/V+rbbYeVq/veOW4vAVvSDHjCMR+Cw7O3SfVfjTWvftioJek3d2MH/D49LP0XxDYBNDSG+DjuvekKZztDvBQF+b1UnrXa6z7h898bAfGqNB3EyLRWuAvcOKq4JrnjRia533CuCtjK5uCwVy47xprYzJpAemwEzMS5pTnYJT3FV91Yhri9zYf1pu7TMfdonPMQOIH+C9pvyWKMf10hfFsKj8z1OYXzS+8Z0SsOCPCsPxI/s9Pfck6HLCIz35K06IMd4OmAe3RBg0X1v1qgD6Hs+3EbRszrvwDflBa/AoP7HLZ0J3inaqF3gOlhdv4TZMPq3kSag1L7yqIQ9fKL20jUhkZUuHd614h1xuET1k5X59x4VSmvuBsD4uDHqV/j7ET2nCnkfN8Ukcfj5js4lvRv4/9eneJU5fDbnhwQInPr7R7Gl7R1up/9sK0DuLvY0oirKHpZF363aaMU+FOKZ7818N0gVh2UJRAzcHdQUILdHOqywvtbIkR8P21/fwFe+o3351Yksmu36d8sohOY6/lU/uS/otMw/QX+PQCnYMc4/dSliXL5+w7cMpUK8wzyDfip4rZjB1cHvKRHyY2CWBLtXX0EZ/k0vH8YBTrOYW69NZFxLn7j0i/gHl4ByuF1lyId3LFsXNCgRxPD9yp+rZphLdkW7CIJaFFO3wxiYNVPaTP8ugG+h9iQZZxufyzlJXP0Z927x1Ms/fz8Byzi93z6+LVoMCDkBEX00/P43WxljjXtoL9C4FP3xtFbgbOuiAgOLvBAj+BshBn4Uw5aHwSbPDSuIRAn07q4ZoCXE8Y4wzvQzu0iF1k0Iq1NFL4X205k5599HPNpWL8rHn5C7PnEOUw6qu5Zwo7wLDTDezfBFj50EKYm1sDz0QJ3kxhAku4NzojB91hVKh2bXg61px9yIA+6yBmwHvclvrPo524ZzsB9p9IUJx6+4/0F8DSpE+FK5+k7HwJid/OMfyBkBFnYEuoc/LRWuLuOQvy3pHHTayOuYRvloH2BPzqdd0zcoAD7zp3gdd/7XvVA7rHOVT1zFMAvO9na3KeD+FI89YEJXLN+vlZj5xVwRjRKU8DJlbQYy9sZfN0/lkbmPkmxhzB35Jz3GnQ1cC3g2Wb7qtO7dsKZD5W3PkCMTnUPz9lzvo68u0Csfa8ct257t/7haP4uEGP81Y6/b9TH9QLpG1XXSMv0nHP9bs72nCXXDd7s5cMV4q88cs89v+5tTr2+s/iqWplSJZDrhzFgJUR5hjNJRk4mB+0Yftffgvy5Hbx0n3mrG8QxP7fSlaU8MIdENF7NKq5mTcBTRsBsVxaAG9i3Hf9gytAd1WjsUbKbcdO8Gbov6eYeaswavmvjXBzAvmOughF4wL7GGRKOPte8CzmaP0kn7hJHASVhSDSFrpvE/ZTDmmVwNoCtLzscc3GZW26myjHYY3Ur/PSuYnoGXNR733yCJn5IYHSVk+Z1pCfqwvd0jVI44zoxb8DDi8y93LQiyMOuvIdnKDqhIok5f/DJ9HVX2ekR7Vri3uYn19M4R3I7bSH0feYeE42n/zZjeDwm+YqpKy/K/A6u/M2GYAYNf9PIVz1nkWC2Okn3tL8OHOIScCnsvb0do/Rl86Fw0jftzRK0dwk6/cFJF2vPdbBGWyesYGf7F+wqzNRTfwF2QaSGcz8B7jMB2IyxGUhK7U2VGWZmfD0fYwm4y95Ybyr4+Z+5WNjfA+dxZX4Hejh1Gp7uGMZvwFU4Ixf+yUSCMQ4+52hw/kvIuCl0pP9WlpWgf13z3IVjUYe6WhLs82MCcxAc5wfJl4a90DFUTW8yTTr4HSHoBzswnzLFf68y2WFcpkLlS6t+AX/8/aU9o/N+LkwcCOCOAjiDYM6aNDGcgWK6WDrg5wGwKXMTQ/q9d64vvkF0JHzAnrFOqHPadrhmAvGNgz4Z215/sG2aaNDiRUy2Zkm3exdwKerGOiaucKdRDb/uxWBjvH/Gu7LKTg5zrn7trefj1pZK2pcvv51w/rm44gyT3vSxT8/pBeL+sV30TS/d295pvVPilo23dsVAIvS/gocbqa5vSuKMQhpm8feq3nYXzq3i3uVxcOIvvvkVnM5WnM6/X3E+k5t1CDr5zj+uF7Cb6Qi6AM4Ofkf2BbwZ9JWJsjHt2GjfijPErkQmDPl8zFZynA5HkbpZgkhn3op4skwCpqHfAa+lMn4Ugv7MF816XbCelK20GfOlaGy6aQXWKNjFKLcy587be+sS4kuY+2aucMa6lHspsD5COnXizoAn7onL1PhpWo8kbVXr1JZ6wGlHvvzMaQ+ZuniNmgGP1pkRF7cB7ogxs1bYB8dwVt6guElUGb6Djf09ndlGD/Ng+hl3iqq2z2eWXBXoQAJ8bsTnpXFGtk0T0MQxnMeLA/iACbEpY//Jg0T2YIt183Kq+UBAz7pLW04fSsWAoe4nTSbk63/rHmtcupuK2FCX3bv++HZ4fAlOpLoXUTfvnS6Q3HrMW+Gs3+ylK1V8vTH/4lDn14qf0yVLZuT+5wIXPAGe0L4LTqqbWLKeakLDY0yK2p/+Uk6/mlHcT3Iapa+j3HNv4F934a3fGmfe1BEEEkusKv+3J0sNWO9JMiWC7/psM9x9bT5w/4XZyaQrT4QkcD5+Vfzy67HyhOMyveCcUpKzRPqnwd01frjKlUwZ+F2udF1bsjH+9MXwtWP30yeVxXTAvZFiJEpttaujP94z53IOz3vHgkY2w+lMk2xgoPUDKaIwPcrJPco/970vnWy4FkXvLies40rSI1uAG/t2qXGmh2MvKnZf9TalGkCryekmBclqTi7tSJy8AM1Ldq4a7ose2gdwnd2pB83HbQ7f65D5BueaxUWcryihAY8pqZXdgX5FkHnPXRJxBzQx7lPtf2pTU8z3GNItvCdHI1h1kiHJxa/VEbCkUPSIfIOLCXuFvoFLf52EBiww70XPMN9K4CxHI3VVO5OTJb8CVeqVTFLc84L7li/cD1+xt5TW7ID7LqdYf2WLcYtS98yxoInDfavcXZ2k7nGb7nFuUO7YuMU5T5Js2n7Wxv/zYDzloM9xjjHVZbflvRtXA/iR8+8+1iTr4gdTBpLlwzNXDbiJ/iMCoQBXwZ4yyVLhWZePXcL61erIjXvkNDKb77mwqVPI3b3idgc4s9EJGY9leK0VPM7+fssE8Hfs4XN3PzueGjdbOO8si+lbFsHncOwgy648gA0p1W1ApmvgGzqXoeVRtew95h/JJTA8D8TWWpqsV6pMc+AROwOwC79r1Zz/3ATYqUrWTIvqla+sAG/hvZgD7xWDzaXA14M2Tkledm+gnX3Q3l9yZF5RApOIn3d6su5tKEnKqc8OwFXHDHgIsLZFJN1BiInmC/X2/uUGfCE/+PL1vFanpLsAH09qxwWf7opTYjaNI+HMn7U7ufCnc4b9GjGN4IwmiONfstf0NNxRt8vnvbYXL22fPUCrE9rTrsKeey/gFe/+CtDELzsEroQEGnjk+s30bFW5z754YDdhoM+sq4egA53r1qDblUovmGuSVlcQZ7Ueum9hZaGtlS0PlwrOEOx8mwu3qPr53Er9SXv3lf/CPGoK/Jpi+pYPl3tjQ31wyQbnGkivWrCu9uBjj3hIKjFLnAPEBzeFOEZY1H5xkq/gWS75YKgc4IejPw/uhuzUg18mhGv5MxuTm49fd2YBu10iTokNs2Ry9TYcBNdvoF+WI2Ce4WEPsYQe4XnUoB8bj+Addlct8hPwqgANFjD7+1Fsbc/OuitcGx+82YOINjfbnx2gtVDzZ+Zibb9VwMlHkbAL8LyQRuLBttNnPghH9NjnQ77yYZrNQHdZYmiTxKtMBV7t9aC5pkO7Bf60Wdcinm6Ch8j/MplMGYt/egP/wvcN4PPuc6wFWkjVCrD/x6+VdLSqCeDFwkItGGgTeSwIaH5BABdZfdpa4Jq7xQxuZ1T3BXwEfX/UYndvsZ9k1IuM7Uc7zC+dkqHOOPjaPTx+3SC+x8KSXT127wc/9zOc+/lxzbPkAnyFvFMxKdk7QZPooSjpCHpjJYA3S5svOOsc7yj5SMtWrW+t37ssma0APvLSRBxwVokp5dsQcPlamYQWB9BMMpYfGcgwnGVclOyenXFXW4x7jZfKBx8Gbgbf8SqkLtuyq9pS3tQ4xS0J93kfaPqBM0jy+eDp153e/Sh3CzxPsJtgBC0ANrC7q80v+JzpBx26FeD7riqugd4ChyhJD774ZbjEGf+d3FxdDXyEiSfPG7Iyc9lAWLM1TuV2Cdiqqnr9yrU99g57cGvmw+PbbVySaNxj40J8xFzPmcSa/wny0mwATwAZSdQo7RQO2WgvdTIbAg50qSnDKC/JtQArEE7l1bHtQb+EGjAfVP+L98ZC5D5oUBBlIYRRuxMQf+A5J7m0vnGwJzvD2SNHQ544tjGKAgcRuOf8WPlm35wzZ7/ED8X1hywtcO3OB20bgk4BhDVLNgSvWkeI+92YwTmfSPolo1C2oBPFFjS3etYFAePSsUl0neEMFId+Y31AtVB66tMQ9Mn9pNxz9Vhvii3JWpzj91j/lUqeK687ZiXWZPzkRkHb4pxj+wlcFudT7zTu/HJcDdgZMU9mbZ/meKcEZ0gAE9+PMfuSXAY6CSROEWGD6wE/XbKSPDKbnkEfgKYRmBvIqiHN1Pa14+nqNz2VEHOBy3UMtbdQNsR+lINjVqctcMORrDIfznHc+WpIU7FNYzNCTLX9Vw2+l/fpJ2CllkOQFLbTeD/MBwPPxhz2fu/XKnjlRt+L0oSoyznuVCch4ELqq2SFu+0U6LWb9NwObGaXl3IEjfGJNtz0k8Tdqo1rddZTRwxMmqWTCmuBenvPEscDH7o2hAIrXb/qHICz2pQ58wjxRFduGhagtxrfxLlK40qwXvFuwF6BvNRfxpJtI355XLJHI9OEL4gxUyU899kLaJwg5EN6ZjjPMOnuJkL93L3iYc/K6Zu6IKt7fI6pMMDT5TC9g8ZktWc+ZZ869OMb+/M4xMub9q73576o2HTAmxjESYu7mAAucmF11JTUafruSB2Gc8EfYIsvvvHMvwFy7uBZHHKvG3TSLwWnM9gC6FRyoY+1rcZOwXdxNOgyY2OXxSSsvDXYaaqLctqcBl1lYL/NYopim6ZGgP2WIcTR9cosP7WO/2qtF/OBezpYsT7LkkEMyAJO/iwK1A9wRsxp4B1Qp+xlNol7xxru3J9yTuRf3oPdD7GTjyZGfW9ci/kkAfiAc1Mj4Cevu5RIO8wXfmgLwS4yigPtAYaNmAPU9ihlD5zTo+MUnYZLoK35r8bsvlRwssAB3Zb0rkBcHcl7i/XGZ4bzVCpJbIl7hbj/UzvnGawO6acz8P75KLEHmFxPdnfTxfeDlqxuxmmsBbsBj92eOC2PhOH8svAoQ83E+qGAJ+XiujE9/LFfH40zjQf/z11wU3IB31ekL+2gANeGrHdmOkzi1M8x9iaBH3yAuv9EnWSczM9xjlAf3IrYjRrn16PCWV6EVXwhW5z1V6hgptxuaUwY3wKPHi+LwJ1uMvUr8bNrzBHx+lMuetKWASc2b3VEv3W/7nHXidjStwZgiG/pGbREWUR6zyMNHFLfOOkfFHQPU1grmsYac1qS7JpSPnOkhUqX2mNL4d1/9qdksppVgju3iC9wBydwaaboJ9gWaqUN/1gHBn1i0DXEeZ8Nvxac7Ye9xNRzsU8Kd5NgPvTAsObEW+PeZQrPO26i8O2kfubAbI9R6gDOHdnHr5kLHfJkDfEPuJFntlzAs1X60fYkl4oJ0JlRy9M59+arFt2befx6SIhHYDvZ8++jMCwU5sTX+6LcrYx3fcN9G/+9V6Gd+A4coDjZ9FaL3uMe29eAg3SQ7t75swL2Hgmh1SlZe/JjHRUiTRqpM5WkvY4taH373fZdKQh7tB4JJc5jjlc+i3HuT7Arhu7FN/aVmOJKMsvj+5xt9XumzKNZ0vda0Kw9y6Ea6fafnaWgo7sLfeasr5Mi5swAb4AvYw3GV/Xc0csAl7VqkusH2Dx8j92dE/vKIQ4c/E1ud041XG/15tvTIynp9uLknKUn4X603soDHruB3zkyQRRwFwdsLBYlfQMsSgG/wtM5v+MuUA6EFvAq5xH7MDYLxIC7SulL6+nGn+50m1bUBx026BT41ltBwhv+bD2wt2LcBUySGPjagZea1k7rm+30fuL24yTtvhYXL7MahMp6C9g6FT3F2lLMu281zmVazKt2Ltn75G+2tX8rRxYN7qKV5FInvZ+BB7YQ9/m2dwrQaCwyceUAp1jYhsa/nBOR5R7jukNXdbJGXQdcMiXSSVWbSLdV+q634pH5P/eHXSGlm8lONIMU1M/uDU8/8pEmp2EOKEkHNcxRHaVn4PjYxxOAHXq1qwnbmqwqya0AxkT9tOfO3QVMS/bO5PHNetKDvJutWE7nn3qbGf4+BH+Pj2r9yHp7Y971A2t+T5tramJrjcB+JJNhLk5zi7XBOVVrn+PdskfPB/hz0889xzj5WFeYzzIl1kJKX4FxSstecf6viMkMXPQG+n9uuaY4k7SIyFU7c9XCGRURFYxY4C4av6eH+yNpBLrZnfQJQjX1dw+IpV81cG/kE2BDgP/zQNXqBrHoGatf/sXc8AG4uuX/chIRP2dBo9YrvpVod1nrP+e/Snz2NCFgn2FFrf1snO+b3E6Yr/o4RdKCH6T4PdiZOMANdsAR/7ZRdavE/fW8PmoSbrQIhoNL62NyX/FYwuchONc/1KOxdJgl4JvAur3T0M7wLd1Wmp2MgyPbyk3hTpNUaVVs+9tRXfGOLgSNdKkcPTEIXq13f9nhwzhdKD3jyD6eVUz+Ft605d4VmMZMjskUAm8qtbdzwJdo1XcbwDt+Ip2AWPuee5mTDesz8HLcw66Y0xEh4BP4dDJxOuZOqtvzz66WND/HfhY7S7vkruTkmV/Mkp3LIe7kjssk1jU7lGhPhsfI8CaRV11OV5HoQz2GH6YkHXKfurhObV8tWM9r1G45ylQ0gP+g3V999FvmsUFs1n01/nYhvrlZgnvGXL8QQLhGmbfgP8KrAj3omIqrNs+6S+yzc7Gq6QM1kLCVU4GuqizE6O20IP8HX/liQ7dIiHf/2Xywd54zFbU8m7DC2ZZqutWJnCt58U9nOrG4egCWhcDBQAdiXoYkGeilXLka+PcDWMaDJyTIJPhf0q6kR78gzHzJUn7mPetwLsLrebUeLTIidzWnI/x/KqxlzK1uagtYOIKgX6TTkt9BM+KsLPeJg9mY2jaOnRMnvlkgBsMZnLDjJnFJC8y7hm95Ooe8GFilE/Gqt3Fy5zrxyN7AzzLgPVfj2PA0spUavoPaw317Mc775tn2csvc1hNS8mZhF+qArSbpR7N0hDvBI1vIUCTrsIIPC2cYZ364b1yzK0T+ssNU+r+DurRvPKHvNdGdAbuhztVVZfoBWLTwoX2cNus3400+zrcQkc3xnvpUhh8i/vW0hdwLVg2nnhy7S9GTEvTJDNEdzinFuf0/+xDbLb1Ui73WffXV4P3/YCDOdDFwLdyjBCQQfGsQN4r3bGWXQDx6mOT6CUrHF7FJcf9NPnb+k2N4cO6YR4qZZP9q6Srg6K8zvLXen0fGyblWJpY9PN8FuCjWVCTk2IrWOywWSI6uGk6Au5G3f3FlehMEpPgYVoA/H6APJtCIYBu/cM4ynmGUS4k5FQlc+tXbHhTYlAs8NFerIIfYpSQrC94t3MHeCtIDh/rMzrIAv11Rka4q0X8BRx+BuxTqrC/Pur+tXWFu+yj7Rx2Fg0D9CPYizuxm5OX1vTZ6CxxBEuC/Hdam1fCd85bAmS5kRXvEJ/JZlDalVh7F2OF8Ihc/N3PSC2gMAXES64CxT/StftVLbacCYsHmPzx89cKsqhI5qnVBJ2R5396Bc/VYbwA4c8sd69WgETLMsz57htullSGlDuCTZLEUOAupX1G/Aw3ePuoE/FxQC5y7F6W8tN7kAseQP3wDsG2/kO+snBSATXaKwmcNYQG2ax5Xj5/D2CzsDJwZ7411vbWge+CtF7vTRB+PCdEmZu8CNFCONYOPa1cBdokl3BTElK36qUvBve+OKjWQbe02Cvd63R90+F41YCB1Ml14D4HHYTsd2ffMWZ+z0r4XXGcsIeQUTwNzAso8Q3JhikzMYDtmwD2quZDPfgcNFvffe31inhB7B/Limle9q822ejREzsCddG676TR2OXCzR1WyL+CEFrRdV3M27d10BhzeAc/LGxUc2uHXijsG7/UjOJdY+1pqAXqW9/cffjiGx0Jcj3zsDs2iZ3PGOZ4Q16Jum42xD5/3L2D6mIs1BZvYQ9yzZsu4Bo0JPAv8Xua5oCPn6V+WXKOMh8dKzAv2nTbS/FUxfdViPbmlHrWu/bADvN8awCcxSOBeOMsD7Ogc7sDOfOBNR7VZr47FrxtdsttzbtXH941GMmz8FvOmV2PZWxMRC76Rgb8NjU+85n+zTD8yYQEbVh74ZdSCJi4AX2rgms2S38zyB2IAQTve8jPOUVq/ycd6i7NUZFktmTcvfJHbZjA3EAFOwVOcW5+AnyZFD7YyMh+0zKs2FfPeKivBnyXJ9h52FLUOHywXjhkZoS53rYv3vwrneIM8PQH4M/4b788GozrQXQYHaQMv0Vf9sf44iWuIM1rZFnTmKCEW/9zP++xx7Qs/LarBwOdL+2awTgNnZETQFWMID5IsqnccrFctztUdtNv1VOrVs/7Nk3AGHWWj2TTLbqnU2gVOU5iBXUHbP5jbIQd88SifJwbwD3kRnLsHn86VoCFnKfDe0du5+cLEsycjSkltd0um9Jsaw3+5v2T9F3zwXtkWeIezYgOJjBsmBvRVNYC2J5VPCXm9F2CnuBs3djJOcWc16GIJephmuAtTKjPoUX4Kp5uNmCodUSk9VvOhW8E5jHvHikxkvkyCotgyrCMtRSL8DGuzfXPde2lel93rHmDTQgRheJe8NTnOMAdNG+bnbAW8tD9uO/Dp7m/jYV6PvsvEBaYRwnkzyh0WQFz9yh056VJ+MWG1TLoc9CxYVopzM/rTCJzYkpf+Khuy86nAul0b4qzYo6juzRAA9md3rvovYzVrsTckoqGR9qNezEB5+0XH6kZJF8AzAE7xqvWOF6xB0wI4r7eea9GpJrYvzqbBTkdpLWg7sB/v2jeEgZWkge57r/BBA4k5xlp3LqRV1nxWI8F5lb6Og1utrnUm9AJaMGr6iwP8B87vz43jlPaFnvd+uqrj9SuvFxbJ5B4e6zzbZivca5aLPw/mQzSFuMdkNxclucB7f8JzY9rvJhG3ThH9/soH0LQ+fAXQQEUJXGQxK+NiXwnO3AlUJjrMxZ2P8fUVo+Tec+7NYh7A5b+zxX6LZBUIy/QpmYBjBFfg/xPY2sqUkyuVC2ej77WvEaM/2WjrA3Cug//nBr8fPifJOeY4n/lOapWaCuzD+e+9cPbyRpdpxcqUnGT4F3Q5L9R9kWDXRzFjP/kgRsJPpawF4NmzL0GZjSh1IfEexSFHU5pK/Zt7j/fHOGNPtI52eWS+hO1ecw9iOZi/3M8D0Pl+ccZ6aBfs0F4gnu9zp/sEfhCClk5qjzx3DmcO+wK8iMEf3llkPxpFv541lc/6Nji3MnUgnh8yYt7y4lcg49dcx+sWZ2Cg9m7gnA+PX8sB8BFijQMx6C/oAIi/WmYRvUqVeRnYCwO+I+1vx+CsBO/7y3ysgcsaiBUdcEZW1O7zrr7QffUolmqmZfeyjTv8ffnsg/+3m+CbgYo4OJrJcxorrnGmNi0UYXCO58PSu40X3NT594N+XN8Y8A2+JVjvKPYumRs3Ra73KEp2MFv9kYt0LM4/eYcQ963WNiVF0jnMA265dGCO9Ovp3y74v5NynVQ30JafKrJj7U3Ds8ZMprj3Oyy8+wPYyE3IcFdxusfvBGeSAY/CnbtbnB/wqhWBeBFiAXG9pel++bOqezJl8TQatU719rJqgMsXQwf8e3dXxTOfj3eRAVfT0XBb88U+9t56wPm6WszFaWvQrw813z2KM32ThL7uzN+0oOd//Ql6peLrB/5soeZNBnw9L2mAd9cydlZmWN2w/+4ourwpBcR75MFyVUQ7H3R7bPq14o9fAcT5T/RPwPhKgplRX7w07LfpzZscL4vZZjPw+Y32pxvEHeSnjuDYf2d23JKo9mTHF8RtnEdeecbKqnLSMOuDC0v0ucV8wWLrotyBn9tLdmYfIJ//mv/VH4J+xPuk9UXCGR5566tIQmxd3YC3XwqS3qRNvXrQQ+6nrBKx346/g+rMVsUo703iFsDNELd3ou860ORHITLAGOtlitxUkvnw2lc+ZW7FHHCfFbQkQSsyrGXpsQ+UnlPQtqRoXYu90BS4cCiBO4LhWOOlqEU/wI8uqp8+gDMEWk6hjMkkP7CWLP0L2J+f4vhWeT+5m1SApsxGVvJhGoEQrOooD/YeoRVnH2Ybu7kCfB/FQw2IjRJ7lcC/JQe+/0nPbaA59i9oVyvwwwL0+bb3moR2SnYMZ/zyUr/q9Oi/Xr5rrESH8+Q2wD0Hcd45GWrMBfv4GPag3/9pHvtOezs3ffeuystX5ZtVK9I781w/G+IvMcp+76zvuY/7pCTWD36Az7/yRKkZ1h3gSm2GAOe0U+DKbjsgx053xVZ7LafgTzLP4i6j598uaDynSaaHOPdfopwi+PkIPn/IlzCB87pn5S6oo+zRFtdRuqnXjj99iHu2pZXEmp9Eetmw3rRk2j171QEzgcPdEMOKKNQ5B25HJpEReml80+VS73BnCPq1QN4nuyPoCuzR/AZeSzRhO7mEbl58v3iUU3HtcQ/5HTvqkVqwuQJsAG0LQi0wzeecXhZl/fyB+Sw9pJ6Itcz7PwEX60ordn7yKN+U8Bp45OQbMDfiipHMuXYq/ukLuGWJpIabJXNkkW3Z4znD2k190EV0730v1DKssfEa/88MWL20vHuWND9j2BnnjsQr6swWdy7IBfeih6usd7/02cDpG4gDPzqFFnG6/FdDC3irQb/uAvwz6NL7YWH2yKWL93RZsnaVWmNfaI93BRy4KeYceYL3eCwSvnkANl9O8bU4JszWj7WfnbUL9vGa6zgAb3xiAJPhGxe0hDjtN1KutJ9qFdFdY3Vff3z7EPvfm0R+NGd4Fm7YV34YcQ9ioS9z5tKD8JinxnSH9ceNuM+8nz1AoQAizCv2PuteM5Uv9QA8oNe6Gbpr4WG/GIE4G7sqdg97z/j/4r7MTpalOWh58OfPyokD0NNTPdpvTchz3ufeoZ/AR/cicbH2caW39DUL7i/o4K0GvdYAV2gc0I5O5hvn1/3Z98SNqH2c4xWQyiG7WsVLFttp701VGwPzEOmR9S5whuAMOtPTfdcXLmhLcT1DLFz9yyn9edVUkCa54r4av1FXvxEuFcpcGufbbXmatG4nToBvbNQ5oIHHl87Du/l27HaAn8BjOs4kpXvfbMFWtyfgKMLf3du4o2awgsoQY+JrphOB13l7//ct21y5/Pjlcu/6ZgSD57um1UL/6X7QKQU3b8U29g1wROann0WSPirvmrZiGvh/PXi5T1zZB6GI7NBygvdbd564/919fa9Aq2cqoYnh4Zkq8n7c2k1R2gO1v7HOgWWA1Iq3K+52b3qgmFfaNurfHXldTn+ZFXfQ/aEsO07j+M4t/cys/MuIyWrVkcr+zFr8VB/rgJYhnLn2WC9Xre1m4Jlzs6RH0LP5c1bUY93T4aor19hmjL2q7Dou3J7GU1iM7QN7uvUgM8CMUIFWZiReFX23ykXs5ec/Ly66as9pX/M04zwUe5ynJNZhDZwM4jnGmwliSkLP1Qr06gK/BvsCfeNLL192rga+WznXGmJudEpSBX4Q4r6rzGMfgBPDkYTYo/2yjbvqU773XAd09kX319sploC1f2YxVLdsrO68h1f39F/+rAcNBVpSRDsnxx7v827WXu/w/tpX/UQzf1IN6QjuKDXCYp2Zn/nha3bfDKz2lrnmC2KucxrkvVXrv9W5vdeP6+U0skm71WzOdGcWO5/6lGTJlPOo6zTwm+LZ40Fj6uqUOvmt9Vucg1zqYW33Li018CO6VK85MAs8b/+UXON8IFeh7K1OWM7F/AB/zFUy3/gwZ2oUKwk8JPfMZ8b/rDLASOl0UzvAZ3InwHGSgZ8z+JkLj2R5irTNsPcSu7sj8soTlafY/afze8MY/owC7jmmMd5TVsLeGzX7+8e3c7LkC7jMyEXsZiAJszio2xhwy28hngY+6J+LdtOCS3krehI3xAbIQ5sx+9lPBBz+gbFVJukVtLsHuuMLtGmEd08QUwN5NhN16I5i35skvonkHvMOBmuZAfioDxxsqdyCM9wbCP52raiX+eycPWovBc31qln6DkySxkWyWo5bc2+icNHJLjhuJwLxMIV4potztxe2f/DNtRB9fOPldBbJH5wp8LQXtrA30AsC/AT7JSohgjCLuhj89t/9Srx62WFtXBI2m+u14HprtvIT+B8DjJ73nj1SLnEm5DYX3Y37xEph+ozY92KkKXPF0m7t806uEsHFbK7voGsG4Bt1s4TDYQlxrodbR90rzi/cyT2x7YgYpjONrAXcWtXc9CJJq8y1WeWlO3M2HWi3ojkzqoRYoS3oGIIlN5/NaC+NFAEr5VWV7J9vlBr8rndy2z3zFi+sBBymDYfXOrlLeTyfcF6KbxLjdXsTy9SMoWK8+9TKHU+JqYstfKYe8fW/eo0R9ECSBfko/UzMPub9cPZO9lhnrQJUB731wsq9P92BR6MdeJL0i5ITzmVnddl91orCMzegbeZN2xuJ9YDHOBj/8VwaQGwAYIhnFtszPbMB+EpoPBbn8H6APX6upK16+Yrzdv+49s/ci5JzbUPQEu4HaG/4O7LhJL4pG+Ya58L+qyWZsoFSGpNce8HGjDnYJcR0oXPtwnc504PGOZI2LLLie3Usvu9YN/E6QwWy8mS111g56cWOdKHXbHvxjTstp60Er5xkPU4xYMBeQCzJQU/l5WXGnR4MtASP+1teXLkqw4BLzKWGGfYJFNjdGUvkQa8472BO1MS4/8TWYqHMjNmiRprrAXdRkk+6hBA72AbrpHO5u2tRAQ/tYjFOQz1IBfi3a3BGx/j7q1h+B8Kb//GXsprzMcSZKC/e+8D6hSNP33lJM61kXvhsMjGNaik5+x8Oh8r+vh233c0AO6/PLK85vTJH0qNgd6PIZ+umz5rdI8SZynGzZnBjzLMdhfy5S8E6MtrvbvvFKN2vd3wxbu7YTT0Ed7CtI2hYklt5ft4Vg74CO1kyv/ubleaDe4Gbe+lZRO0tK+VblogvGtH6+dqye8sh7vLzz1zHae/bb8F/3wF7BiX1DCeaiPHPSytQ0DFRERHK8G7MlwNwmo98gTNOqq9jQr7bAXdeSQZcUtKY+fwM31eAglZmhzvV+UBf92wefk84izhz5nf4rziR307Bf3/pEWJxDJxhTBP4PefWWR/q8+52BB+QpBPAe+o6MgcJdl7jjkOIhfD5qnqYEsppd0oCly5m0uqn9sDbP9ZXFemvvRu6BrgJTRjBHKzgoRYJnXA3ZBY7M9/KIRP672nU5TGeLow87zF6iFervc+e9wa8rwKadAFocF0shh78327jrZMXj1IRqfWZCaUmVfwfU9e23aiubH+Ji8mIH5sYgbGRg9AF9AbIo7ERmDiOL3z9qXIvZ5+HPcburMQXJFXNqaqa0wI3A5xQq8U5c2hVFMtN4bDtLp5qOsh7C1wHVnOWvhky7IslrG+Lbw9weMCizn9ic+wj9CeZy/ATzopty99Z6VSs0i/UetrOZpTPmi392dtU4mdmpfYNl6SFrFFHSwfO07mB389wJgr5k7NecMCBtc98wK7Hp+4G/F3Vv5+NTw+tJ+77US5eebnwJuSkEe3fAyoketAVTOW3RmD9jVWtba/wOwVzTAZ79Fb76+vWCXTj554uyW0vlhOswWLjsY4Xy76Opyuc2Zx5gIX7ZdYAX3nFjUywK+2nn2Y2Vktzy3ybZFZALpmyWrwHdS9DwErRjlOxI3/O1fD3TP10BziG7rBPyzFvsEdXjUOviBMRV/MV6bY+qdTH0q9755W/9H4I+n0MLCnJbvSxzLVYFjIOTnSAmOosU+D9E3CXAl73LJPwqq3+yYb75/MeW/RewdtzAxicA+/aH4ArcF3tVHBohTwVMVtsvb+vfUhR5QPntXL4XX20IhvWVx65cSXer/v+EqijtLskJY2nGRNY43m/AZcrmfusEZ4lt8XGb28stg9D9Bt+r52Ytlx9uzuO88Hmf/0AM2oBhz9ZzMrGIRbnAxpO1xyy+K7E82E+dqW8Air2N17l71es2smOAtfL9iXd/MuN6bXuLxcWLc4C5xWETLgwpJLYzTK98Ia/me0ncJkvFl1OEIPiIkkfRrGDiYyHfUkZ+oEIN33ODRytkw/RnM/mS0fdyMZ20a5stvUZcNU7e+537y/kEX0XMnclnGrY86860ZcZ0w9zzGb4243wtN0L5FfLBfzthUfT9/YB3EXpLfD89Q5nfDzhaPR0hFjZPi7BxnHpf/MseNY/FPB04FWAvdJJDhMBDPLq4dxmwAGaYRkjvmvlBPi9y2AfHHckRW/IhxiFlx27o3A6iH3Lz0qSBT9cPvUxukLO8SH+VtuZfusyFAxzG9fnVl0+d8XyDPyq23Hy6qvcwO6/5o8l3/Me9gghhbO0rXcPGO6zj2+3JkQDd+HtSt9r5476az4dyNvWC2bNcy/vaUFj1CJcn1tgfkxBjFsZCfjXgViD/VNfr9kl+Pmjkvby3MM4I+wtp3ZmUebpr/3HRTTO32Bv+wXzFo9/Myo3D2KYZ8Syh717YWQ9F7F7VqPsFc5KQARrHpejdqOz6SHniPYVN86ZFG4GR6+F9UQfH+MZirynhRwF+fID8sQN9tlXBXtCJvSjEGxW8WnBVOCiPhg7Vg8dYe/s5JuSwJk2FvtMWrW4mViH+/73Tu+TH63cqd5rpK4k72JgHSntc7+ezfcuiYLWk9+AMTYG+/L6tKt5+O+OtTw5NUnPwC0WWFvdA88RvetCjrqhuisfo5tchUeT/Oo61lyJQAzsoIvlD/d6+O/dqNUlYzH2RckHXYULClg1l7mjve5ZI4czujBHtoHfy2kkFubZKz7luk8TyHWHPeRpzulhA7ymSYz8jfPOydvFuqus3RVOdq6Uc4U4BliPoT/WJXfcdevcz+1wg/cSTjZCDFpF9yyiM0uYNjPxUO/6ud6JuNFn73/qA6+Ff3cDn3+1uN943PUNIbPEEhuPZsDSdWvxvtsIQF19NpCVlMCHnYDl/r8aPOCWFPgV6h6/PfWSDxdB5+6bCT0IzgC7Rj7Abj/nfyGnTa/73lPj64OS7Cj6zmtjUtE+8yF359STOFdtjVo89MrEuct+TMzuxbF3K3dKjCAW9qBLrQaW23v84x3XJ+UxO4j+/kE91Lk2CeyV11k+Qhwfsa4IOY3w573U+iZnImA/oMTPrlBmAdh+ZNi/41nUNvw2bneC5xPX4+kBz3qNzw/O8MY8NRbkXRzhSWCv3Srd0f63rlfB6cuLAVDoMbvCN0okPCsGH70hf65bb3Hd+pMHcTc3pb3oeErVKvxETZ0itl9w3hdmsCnzw6c+mCzpgskooHDW9sW7y4bLJ6zE672ocGUBnMrJjjqQBNYcONZOVC7O1uy5cXSiv4QT3XKVn3XSLwD/VLWIvP0xc4xvH9zXA8e7SUse5gj5bDbo6z2K5zz0+qrFb48Z8njUKMRa9kYN94kl0ZmW8g4xGefNsZfd7sduLY5RAPh+oMlfxDI/0oMwJgj2nF2ZR1nj0bWJgt1OTh1qYO6T6cATmhv31Yt1iYErjVvPftFejnjnUlva5UoDH1gWwH+JVPePXHULwCKdGtKPjXeBZ37pKAFS7/Qec7tDY0lOhyyoy/DNAF4F/rYWuA9Vhqz0xc1r1Pdpxg71myR33K+9+OuLoz7tV2vAvs7Tq7rgfxeQa/hz/m5YKsD418YLkmJuZ+FcyDNOAmimXioyQXct4EnZWy2s/JL+b/2rooCfRX8LdvE7ag/sdGyGlgtfuu2DzjbauGm6P4oz9qHntnKk385Nmc7I3TV8r3ZM3WZ4f2jFvhppvrI4fXHHf/UYNb1qASnkUn+f0FCp74USU5+jbllx+clcMlTi9GiAn0nf6lotvzeuGRoSPqhHKxpNPnCUbr+yW11cRDvY9T52s3oA3hdhr5/dieL9sS+Wr35s4FhTbFat30rmtI61kH92/82IfDQk/VDS7FqxdKg1uYz6xT7pFjr6e2uS9lapew68doQ4EgLeORUre2ylOQKOOmWkPQN23FTDb03q0BwtxR5vIcPJKLuBeK2Aax4Bx25gL1EOGLdV9gpnO82i7jP33s+QN0NjUVfahCKhqnGi4FlLHbrIkJPTjHKCWLdtYybakb4wm0X/gkIFj5Zgv9NyQ49ml83rM3UpnLMlcPz7VMx/5wb7VBw7YU1OHr6v2zkthUvhPEOsJH8An/yr05uRUMDdY+FUPuDDQ+OxF3f42o9Tpr3qhv0xGSED5BQ4c99znQB6kdjfGxyrId3J0u4yAtzHW1+lG9LKF3faW6mdZcgt28Dzn+nY+wy+L42kgLNVmXiiElbo1bO0de0CNYT1jN7t0wiYnG295bYQblmN2lG8nTXqror2KmW4Na4+Fs9ZW+mx4jLv47/Xvbp4uQ0vcrYD4NpbLi5vyuqyebx75vDbD1BBrgg33sIF3JWilh7eF1A3/VKH91kKKxjsKz5OjI1htoOz0A7s87+9k3HJUiNSanoGmdQSPne5EPcwcwAvWbvKnt5H9DVf+aBx0G9dPW19CdgIXt8JILf+Ae4GXHtATfM+MBb//6US8Lz2OGsgyJdQwcD75cn41VVH6fzs0bXEUzgTxquAH0N/P1x2kMdf9wAnOHNKiwCeW7czQ+BIG7m7+B5s3R7WUAQFCd9Yzxx1uPimX34an82N977YQD5vsPfBXQcN9jtxHecC8rr3/eDxFO9LyCm9e1WJfT3D/+ZNuqLAipVwXZxlqcp+LnzsMZVH4U2AQ7FWrg+Zr5Mmsn1WvJ+LI2BhHn7ic6pkdWdHqQDzcta/Oy1k9AzidBEbVs/da2Z/W4vM28z0hx+7xd6aEs6vyi1RYq4WWXTyOenvDILYPiLr3IP41WvszebAH6+1+j7D+XxQV56lc3d4xAK9Ip8ysRSYbt/AGiKe+73HLlNXjfSrndMLU/KnEQufRp1TiOyxj1oXcvVbZtEnxX2jVi5QMwj7lNtSL1hpvwRwRcDAwN+DqhiC70JdUtjD92ogz/PWivurbv7BxDNGe5AjHcoNes4ke2kYzn7lknExSgXYa5Ur+KxcLiBOfjP59y6PhlbCLGD/iDpO71zl9yLW66a/1+LjHfi9vLQRzgf+1qSchocfT/1VnKFTZmQrVLokq1rczrn9MxcC0GQpSd0HIUvovSnl59Y/oa9FsCP6LAbN4Qwwg/rGM2Us0kmB3iW9BBylv3ii61fcqCRwMyXfinjhFsd0lTm3gGGdMk4xp02c0EofjTXuH2ff3x71yMKWwDPkcqbu3wWPLt2T73G95kLMsDfnrLg49cp4gDdo7XaveNhn3J7Q52bfOzhPduTwnIA3HXHOhvW2wxxfzFbJhA07zrgs5Qk440GtKMRwUkguD4YIyBfLspF/boabn0wynI/d1QnqBwSvffilxs7l7tQ1VgJ+Rc8X8sn79MogLuae7owTOVQt7X6o7iZi2Eda4JwGrHtMV9oXnsG+Fsli57EfxXkDOLcRy+GJfR3y0E73OstnreS5BYxSz/0VzvCHGPFeKXLqfoIYK2H/t4BWv28Qr7+kSK8U9Xb+aY/0meoAi0wfiptc9RbwOvk32z5kd1F8B9mKwL78jRsBd7GWZlfwvFeQvxYN17KFT4vaBLVNP4uVWakhegA2OnK/CwRhZ95fNOSFdRYxlh8taRXOc5ArO5Kb8dwLtSHEqxT4uRvm4++deVHEkQ9Y+Zol1UKXkA8dixqrJ9i/GvjIruq/7yYh8Bynr72d4Pu0gRZ3jx0uMZ/Tt43fn9mM881wdmb0uiJWW+GK2Wxh/3wK8etFO+VHuQJ8PwJP2wo/Qp0Vt0lOgKf1R1tcCsBZ26rvvg1h8hnfCZy5BPgPasaX5rJbUbZxFg8+hrCXJ1zvQnt03svuu3HXNzH83gNA/DYK4txcR+QjH3UmvXssB+lnfgTfJ9WS57eKw172SFBIKRmcU/SnwR6YvaIH7cJ+cdlZyfQji+VK8L/Ym1TvVmEGMRS5XPn7DP0e9cHPkOc67U+dtOv7xln7LSGlBC7Ak+77qXkHfKDtU+yFhc+uCzizcof+G8MU450bxMgLzuczF3iVZ4+ZIHnOO8Dv9DVTTKrezZ69HwPk/8O7v4uo3mP/XW+fe7aOsNZzcgpvetYvcE50X4Z433DJH4BHnOgB+2lnINqwkQH+Af6W2A/ALD7E2f+fK7E/Fs6yDHWPmp5/H3wFbz62wb6Mzm3ZBrVzu2UC4qm3zIyMHnQwH0K4b//15D4gxwtaTiRXNGVxl2qhvyj60LppjZwX56pf80R1cprpyp4zh23hfDAtSfpf/4ZHS/0D+D3KRfrIJO1o5Jw3D/jO3mUHXBW3nKNHcq3ktMAeePRKUlE0A1fFbLjJneVknOylZQrPPgs0oYE4Qn6GeAT745DJv4CTUU/7X486miU2qhsy5+kHoAvUHUn+zvvi4vNo2mKP7cZLu2YVjiKmlkvA9v/pSCv70oG5xLWb33JLNy3gIYh3H1zkTiMuCc5dtuJy3HPmGBtmgCPPu4QWuRS3xmnnCrgBZKEb+qsp4PwC1ZzHfAZuGBcreqED4CGc/Z1/PeJ981jOXKR1MfRXES1dyEnJxp0mYNm3zGOwD3UF8V5oN4I4Za+AZXcK/Xsk26iVvGUzJVn8DrjPzfSKvu2TdGxdW+2kLCTsSV12rx6YLzh7Y+MZ1Aw4ZB9LCty/kscO8i329CL//160Pf2nVzfrABgVYKMl5taJCenm/rTO4u9FzlOVAY4XajrzkWzayNy1T+a67F485dvILt96rAOskujIDSsXIM4AOVjoTz7kWK9X+Si/28HEeK8GsdaDPHlqk26A/A95M6zzHr1Kza5ZAX8d/9wUCS8N5Lr8OQ+b+6/eAxqv741LEuyHpAkJqDO57Jh2uQyHQrVuCzGsmDtdqOUCMOMK738Box2Bd9WVG/Z6PAXcg1xb/nGB3z7UMc023lJRS0TlZE7Rd49XHVaMf2Y+U9QEx/mGdeuTlHlpT2fdZ64etHLOanBH9MHQ/7RgnvVILk93rGlCnoP3t28srq7VIHUxAB6Z/1zlyCIWA26WL7/R73sGz804Rqr+5j314kuK8yliH8GZV5WPvX117yb1kPZGdb1Z/XHzwyWBPRplY5fkVnbZ03eRhq0T3Qvssy/bmZdAtS3LGaevu8rtdg5XHPunPbNjo/SNJ2eFGBr4CHDJa7PqvgBXf8P+BayehrlPC+1Ocz0A14whJApDUTcwR21lgb1201d+WD6ed0w9sZAfXzWpjz1yNhEk4oiaLESbcT1DjD83JLplKy3RGxbwilCSPnMK1gQbwi4skiEnrQf7ssri7rCD3+XOvax6yOPCQi659EaQW6Muv/1srTe9FVH3g9r8+RO/y26PuFWaR7ayqHN8bZSpkQvkPWC5mNX5nCa72G6otCoX1S3jZIRnPsK5Pm7dtEDt352iCXzRa+UtX3M3OKM2msEegOcVWi3g7IVrcwwjPSz8eqRnfUSNgXbBlNkwJ1pA7FJseN7XXlQCayhJjnoGUpxuJqK3rb8G3hJUbRx8wC6+FSN56X2dq8P7dX949zKvuja+zqm3hDiuPyvLThB3V8A7N8DXE/Rwg7PV453BTtlT1i8CvOmHM7Btnh4AzzuhWdrpbEoDREwDHojmZiVe91GiKKMA+wYAr4U1YCJYs3nPu1XbA+5Z6UsdrR9NLO8tenB5k09j9MZ5xkMG5/cnH7OgHi3q6I1tH0G+kIea2Alixr2Zw2/t/HoHd09tHC+41V5wpaXUeGcE59jFHmSIabt9CViQpz/F2IlGdqN2yQ/sSZKXNmcrrWrRL9qj/gScEtNjWu4BO8lk/eAEvW7Masez4PUM5RCdqSfrmoSSw5HgJXPaIb+ZxH4Vsctrl6xr593Vh+XA/LCCOD6IlRSs1LqGfLdTXcpt/9ivJGSE7slNKtRFlXIUEXrU/eotP1oekn1p4TwwTysGnCElxrHfwP0U9pEzwEy1ayoKCGjHCfYi1GL+e94neD+T3zLLvvYr09eefciIuQ3vqgpWv0nID+JxE00vr8xbBplVDetFPpq4ce7HjW97A7zNDM4VdeepP1HKtZDyuT5hsQoBZ1+IHpYPUaYSMZrq9Y/0p6Jxgpl7kQP7XdacLYBv5aYnrzgvMpLfal88BHJrr4MzhrNIS57ZzgL2/W6k8bNSHxqIN5pn857on3o83eqh62r4HoWTXXMXUnfUo9daWMD75yL40EfAhvFphnPx6nX0dFkFInZ9ePYxj9NN8QA+I593MIDRF4vGwmq6upKoqYnOGL7+aQZyLxy5Agydcz/ysDdVylSzuQu40Ip7qGssr3hHi/z0dR+lhTkKLusmJgkF5l4Tdm2ed+ZkgTMLvKeA6DRDPyuDeqOeDc1ISK3gOKOnrjJh7eodfHfsQU7+X6//GmJ2VHu/daLvIrKqhmeMc7ycnJxs/rPYx+yhMc738oO7GuKwfeIqU+JdYfrZxuSarVqvSDqcZw7b2MzAb9f14/LDEvj+6JOD/yvez0atX71YZ4g5FTx7YvxuBDzS8x6fOxl2EfA6z1YQR+S+zB/cprr2uz4XgKeAMTZzt1Hx0qtVdG9XutBHlgAHes0JO3tJ/SJhbst/PQqraliWwEUhV2Os6bZqQN+u/zSpj/K76Zc/herindRDPmPdIYW8+H7Tx8w3ELcgPwkWoV7FnbZet2ncEDWhPij2f0d2RJ+cV88tP1wocE7G0V/Zm74bQqcWci1qgYoku1MSnXcyxPrOqUnC3cZxIR+mqHkv5TH1IC9vay9/FMoUucicppcZxDzkzxsdSWncXw2TAfv8a2HOzbFyGiXnfWzfcvjEWZRdZb+4Gd+8mWi9qPuA5a79RP0TFfULnGfnrj00JN1AHNnAHj7BXtLtGJ6LVes0wMO1lTm39jVT/O/5ol8ykY/ct4+Nkz0yZSP0vmx829VueoH3p8A5IA7l/92z5cG+dzvVfweVpW/ZrLeU00qVlKF+ioAc0wJ2hzNbt4/3V93cMeoeMxV8Qc46qJKNBeTbp5ZHtFRMML8YqKV+p9l4Am6n17ingW8KFbFBSx1UgK3zI1ZnGfZqDDXq6iv3Qzod1tL91klftRuXevSt9gBvqid+wPssdNPAOfptMYaAudOvbHCDDfbT9AS9BnAWHtBr2Fdj2osh9zSXQePQRzOwUETwjI66R8MJw2kOsfX3Tg/+Nm5tBTlFzLsV3mfAHuSm/Ffvt4c2kUo/Z21talahL1aQP1CbEtBkdrQr4xCJ/kiV18/i6RcmJ8PlT1ssWS2ie1Pm3guztfavX2Cvfd8+UOflqREeM0qj+8/eZotsmA467k4Z/+PsYG9z4HVyZT8K3yilcpwhx/6QBBgUcHx62sXtAjUmAOP5W+d5xx7+L1cCbnamUQuXAc5aaN8AXkff0fAu1CVtxvQk+u6fxpOQCesl/Kr12uTP1cC6QHwqMgc9sRjhbuS3gPMBa3S5DUeIyaGGOPTKKfuoK5QSqA2M9cUc+x51Mg3cATAGRAi4IsS0/zQvgO9wAd/VYRJwFlY9ax0vUEfyDNgCcDy7IUcFPJ6if1l+JG/A11/3ABNbyRyelwuc/Zk/ZHxZF8n0gfdGRtl7XYazWRH36WvWTx+MYB+LheyPc23m0ZRPTWuIhwwx3Q+cUR/wwjVHfZbBAloMX3gjhpiePet0qxR1Qc6Fys/SSQF83tF786mVnkXLlRjFmXv3wQDPaBT1soGdq9GOgCHJTphNxv96bdQ9++uBa6yAE6GXE+QA+aovhyyefmh0mwsyPXi/fmTe+8Ik4taW3Y8QyzXE2BAwCuXYszkC7oUzIIHTqIjOwAPuXGE/Kotzb9lnZVdLQpBLDFvsOf23l399sipJsAcd/VLfstGiB82uXZktdacTAOq6BcwJHGFk8c2v5zCnK53SnsxcoW9Z/2it7WG9ql2SVoCfV41v8B4oL3pNVWkrnJv4nZOC+KOH7gCv7UMCqyrFLrW6f+rV3yt8phHwWCiP8GwTm/Njd8nlH4jfUdAO8qFd+/SSE32w4eryUcfRI3f/nIVrpmwOt5Czn/phrz6H7Yz5FGeohFf0sOYEsGix1JAXdpgTBPYgfbyf69KOpr/MT61scZ+ZZ6jmGHtpbCTsS8+sqlmjzi1lUXTLSzK2IkDdhBdmg9jaAQafUh1B3ixl+J9eXcFED3iZvDG1fBORhYgHGMQJxl3JMsiLbu2zgQ5uhxoMksC6xXTR9MAZ5x51Q++qF46Mcdbi1/PuLgRgWcjbe2J+hJ8DFw6vwL1xjn3dOMu0Halfl8C7B5IUI7to9OJxT47BHi8HcGx/v1aQ0/NSrnQM+KqcvrbeJaljOqg+feyj4IXZTuyxPABGfRMlmzI4p0XE1ltnwlmEYG//ONXxz3VfposmshPg+1ondMhVGj79V5/8hH5o0t4Zakk8+6bfzzuIY+i7XCvUUPifNkuhKC+4wflwyrxglsNtFgPepdF847lYw98K4KuFH0Hs+0+LKJFublGDCx6LnWKN+t4zw3sX1PCon/MSgJiz/o53Di/tCEpjDZ+R4b21xjsFpeQJ/a6p+jsD59FqIBfFQ0dawG1OBFiRbPH7AL+Ac76+IYajsGx0JvnG6Q6Nm8YV4Di6ogcuZCij37nRPh/os88ZcvCCE3Nr3L9XETlX2Mc0c9IHeqzCWTqgryM8S9TqzrPn3bW04ih3DQFuvaJd5kzPmnzl3DeZmwK5Tn94jJrg/8PYuUeEUiTeoHdY3J+5whl8Cxy8+wYe1W09Cnu8W7R4d+10BFAio4548I/lWzPrTVum9yy6RMLTfpbA/lNP7ZEvg/fNnj1CvnrdH5aZlItGCr+O7dj0lwNfoTbk9JEJGvAj1h4Roy1jEz81C2OBD3O4RxQ52NwNkBOuVclsO5Jz401h4U6iFi5kmm/g7WwFPOblaYK6VFN1TDMTGT9X7tnA/mDltJBSAvfuOsE7fMZD4+g3rHdA7kb9w92Od2Hlk65Opnvrhtfn3prpXKCPCexXJTTwtjXqu7z02dBd703gvBfkG2On5OmTqqYThXyUOwJwHDloL9ipAWLF0XyhhmPu/73u4veA+1KqCHistGFLdACY8JsPlwNwuRDy56fxNKE2fD1DgfhCiuVK8ei8f+lnjGYLMf+2L+ms4zvOXQudsIAO+mri7qDHjsKe+tEc9bhRg3iaqgG4iaA1/PyfxiF6I6luYXopXnGee0FSIw7pyRa4/1aV0645LF3EMWb4DpojKzePizWPJa8GBufFnIpjip7D0cZlFPn2xv+n98A+LqL11q7ubVINzvk/TeVXb4/WHHUlgNdjx1c87Qye/15KqoIP9A7mgLsZ5I9sTH2Itwc5Up0RXQAi6QoX63vA7QktlWSrqrdzU1ovl3COZJhV0hQ16V73859asr4Vk5sNKWRx7OkhDLV1Mot1HsAbgHVzzFUku8GaW+D1kHtMUEf/6Smr97tKWCzF4lof84VwXNR56vRoCllO30Xy//2JXFLP3VZ7kBfjLgZM8ZYN+UMnGuO9NS76WWWORO897/Ro7DQANzqrYYL4yRCvRc8YooJMDkuMzQ4fTVa55sskdJt70+vOAWKEcVpRXeEsFtSlWyaWFvjHpUAN/qOhrTuNfAy9vF9qrdxORtGVz90uGyXgeBZSC9zLTSdxFNcaMBr66WiX/QDvhByk0/yxfOH5VAjGxMqMtYP+5V0B2MWHPXcEXJQB76gh1tJcwX7u04mOJGx92jXCQW8P/8kN+uAjd9YepBguyz837bb3al47Bs/bigx70b/u57+46twnphOEFwnp2OBcYU+PBtZU++FCe+aLAiYy/3omrk3COrZKAzlHfs212ziXp35yC1i9nmWxmcWDHf/40iEZYIanHuIrzgNGDdUgIM+mFeJx7rMR/ex3ZB1wDhwvco9anlwWp29ZtPZaT2Y7POcyVTQCjFO8BxnqOYz2Zp77gqKfCvbDbduelkUiXt8L4nXuUa6zXdmN0pNV7gWnfanD/HDBPl6ho+VYjeG1IPqnUpcKOC56ZYVwvh6qrx7UJYz2AfqqpAr4XxHjHPD9DXZrXHFGmZjI626ZicumjdJvYCMKYswJ5wgqOXWZ/HOXArUn1/eCA05x9ARrp+GZhugZVEd/54aTO00I5Duy0sP7QyViFivUSfv70JFbKivxTuGlRbDGeJkV374eW7cWJBHxU4fuh736oUoS5w5dmCH9AXzeo54Ad/LzFnCTGYKZR3ZAnzouTg/Iqdi3/8bc9NjGOM8H3F2wV43eGrK+15a9ifjpkXGoBxkom7lwNlyDc07lcyDpCrnpOX+89WFvxRC/eRa02Ncvu7OOxEL4cix6tgM+xwoC3IfTmBfLfPc/P/oT6j21LjAhae2+Z+dGsqQRQcz9KVMjS3nP1llpNxnkHgacPOv7ufi4WMnDf997DGtWmkh67ncmaQkx6YMf2VhHdkNRY1j8zraHRukfykMKeSHLgGNsfVpS7PPsIb+MEHM+lrHmwCc+lsUu7vAO3VGlAZ6cLfjYbQq5diq+dnRJo11EU9T2xpkixH2586/X4YVFC96tpAPPbKBrPk6QD1ifH+1tF7l9OyzrnBOfD1PS+OTSzDhHwb5QP7suLl+tSH2R5A/4d5QlsEZH4Hm+AZ5cAQ+HbBdPq/3xpfv9DRzA9SFeHPfKxXpWyAW7QTxXmQchafyzgLNY1KNJgMtdBeozuNMN9iQ+8y47muMuurmFKzUv0wy1Kisn7fjjsoDcttbxEnKz+8pfFO+7d9HCqcdp8a9ecvJaaf28nObGW4a8Rx2z7s04pzPwmEeT6JE6S5/LSQGmtvRj6cBrzgDPtvtVD5/brAFHSI51dUtEewzXv3df6BUGIA3iEWBNx9/Hy1Co5VSP7QL7J4BP3ql36RTv1nX0T2MQdgLEf3PPSnPMHBfvXdZs7JiKpKjcaShQh2okBeyxkCn78qDxisO7b1B7dzy5FdZ6y7UP3/VDONEitxZwsPCboXsAVltLyX7MqPsMUYmcLhAnAON3tBiCiDvssItdW4xYN3ch5y3XWBfio/19htLDO9P7R1WmZe6fIMewqnVRm22J/vQfWtGjUstFG+svJuVXxpmgAyuwHq5W4pYLytRhuah7yJ1HwIfwOdueEYNaxxD8C4e+zleHvC1z7Dfzlti/c8zE36vEWeeIAOSNHCCovvAgD6Jm9xwyiFEpcjTABoHwLKPxlHLRnyGuKMAxn8UKkr9YLLJV9oDYjJ5tyW/sfdbOSLoT9spXxMK+/obndQaOk9WcfTC/dbfO/drC4sOzDXYQCytBppqYRR13uJ6pHi5Z67SB6SnErO57p/76EOu/eJ/71fhbh41hT4wSZ0Vcct6VOm97PWC/GPoW7SEnAkf14fMhv4I4hfe9Uu8Pl3867dECckF2lz4hjd87fACcXULeirpd4zmPCtZMzukLi2L9xLbAefUcoq7eQQO+2JV/PWat//T3jXRWWJIygfW9oIDfQ/+dbeH23r6HCEDsyoiFx1ytMuAdGcROxQ3m5TVbrRew3q/eb71f0eCpRQffScfvnnl6bd7HWi092CO34hhCTJcZ5Nsb+k1x737S8eLKou7CFU20s3bE6s/92Rczh6lxJ12NU62Aiyr0hPT/59dmXFZz0t2AJ5eNp89SBcBN8sCMdG7HCTDCfYv8t+VhBnv8so8J7KGpy30Z7vvlVxEz3qwMxHqcSgQG05MUYlOpcV4LsoB29WvO902O3b3w7hUbACurdFevspuMT4FAry2iIeY/tU5XPOlYcZQ/wO0d6dtAAV7cK+dGI1dwS8+5umwBbyWAK2vYM2N91I92RD0A+urTm4EjX+FnW1i3kkXPnqWp8boe+HAkBinhOdGnryrq1iV0l/euz4GJKZwpjSX60D3g+f1wD7KHkDXEcpyXAAZrohr9RUX64pWVjmWKPqjaW/6YCPLzEef800uN1p9REAAX75sjYfAeXe3dGZN0bEp2p4PcCtX9m/X1ph0DfAGxcubAZ+AcZPCep/2wnoX32w+wLUTm1TiPHAVXRVKsIx1aG2Z1KfsdPsVjeszddFWJ9ALcDfuELrVvfiSXtE7kQcXAf+OgU9gV6wWfwqGrVrk4Gwj8rXVo1L16KqxKIvTcgzyTsj3krVqZQngkkcPlLevNN2Ah4BaLB+TsrnDkdkfQ/9S+5Th/754gPnfrLJk4hfdtovRTDe4EHNOF3AB8ikz7ccpfd5V8ZjGKnkPOWsF6THi+5CAVfOYbxKxUyJTC6XeAmy1wvpJZCXiYEob+s57pxEgkj13gMWaEGOAwQuEsn647kd+qZ8/p7/18XvWnu3HSSz6auYCozobeaYvLDDGfoeYM+rI+faDRD21lr4DviybGOullRePLmQP1pqOOIN6G6C+I90sQbQV3bWwS9uSKr7NclBb9WA7yCMxBpaoS+Z0p5vEe1m5gT0+gzHaAh9P/NL77M+S3VaNSrBFF6OGqrL7AIS2EiDz2WMLJsjEtZY09e5DhX3ujgPx7h7XtzcpmwieQa+WC/8M6EXDWaOO8XzdzfmN2HbSH93Om7retWy2efRE9RILotJCJ3eZ+vzDRPYa8s8D6OvBYygd33g/B7xw95JtF5QSHvA8CvKvMR3lvRH9VPWBQTuEkyRVXAKFJiPkB8jLx5OP7Bt/5ICO2wn3cjilqwCZNvwSGdRkrx26rIS3qVfpmyOkV5yPAqsXGpXmxCr8AR975YBEzfxjS3oXUBXA54JkmZsJd7Ud5wro/4LIFcNGdgNiG3kF6MM9+MPb8LBAXbeg2gGzh86gKnsN/75W1sxWoryFn4Hwu+qWjr1ygNODO1rcC4sFbI9hiOxvA6MuCrexXPlyA01Y3+J6aRZe6ceyPGklc+3aBnq2oEy5R20/29+JoXnewOMd2q2z60I/Lm0iQb9EOYuqwP7K6ie9wLtN0L6XOyzCuXM1y4ANiWGI9k+Zu5QBX5plan/V4OuukCrBfgPXuKuuXuL8Zj5evO/MJdZwglgJ3pJB6CJZcJHeCzKjl29YJIh3DDwAfZcB1JAoazR2cR3KVkUub4bLhHmAoST8y32z1isAZk0mhlttGoQZP5Gcye63XuvKWnRCurJP+1s7sO7PTA71zGHq0KvvZ+Pasy+oMayqFN/mNbzi8163uWQa5OUGM1/bkg45yph+XZ3xsvNu5drEHmuz2tvu9I8J6CLxuCHkpB65d1DZMahGoVnWd6qevCvAdYEq/URmsWX//p2MW+ton23bWD3WMnr1f8F6n5/maTdaqe72PArcZhYfw/lXzrSXgb9nNXNivFpJFJd6dpicFRNAz86if9ZfFc62PT3/lLTyfVVaGXyglmQ/vZw3PtE6o2jpS0KNJn+/rZ/cKON3GI28bj75mORc4v6NiZiGbP2jfBvuV2UFMhBxE1pJUV7Eyn1hXhd+Dcw2fdYa89nG5tE6Q1MfuuJ27T6a6tRiyR+3kDncgMknyAXyRc07XsC6vGYSb8cOYja1HVxRyzV+3LUNHAn6pR+vuky6mPbuJEfgP6ppBZKv6rq9G9snFN2BvxNsi2En4bCpYcz+81o/l18bRt8p7zvzfAEvEv1hUhqro3Twj/93LJwxyE3OzgViI6wtYqwAy06f0jUt7yoUbBdp5dyC/4kzJhXOJeuTrpxa1OHnM0+gZ/SGP6zv6PBaA2/97rx9+/BNsvfuPiu2XjoMD8Fw4Z3/ufDYL4GKIm1eiJKuN042FiBZb73KUMfuEvTG1UtY6/g6K5DTLY3+mj+WIGoSVsOgrHQIvtnL1OxsYVdyWxUy/jBU+cI5RE9lzKQ+AHchulYbPmSsfuMQMCDChuu2778xJZ/Tf0zgrR8y9QN930X20xF63DjttnAXgwHSlEZ/2zm9fpRAUgIX5qnp9L2Q6b5xpwVYU1j7lhXABtxmNXhuADQn2IuBsP7xmD79z5px81XC+8CwC7t7CPl/seXpgvlbc1bs26v6fTvt3wFEz27u/cacjRd8DltFvGzd9A2x8kiTyUWdi39OHnCvAI4ClIyqLQXMl3j2G818D1pw15MXcq0vsu7+s0M+ZOcuvGni84foVDy+A0RdNaeZsJlsqw1smXOCj6LMEcanXVmKN1rb+swYCjFIN3We70l/tkSSMpB+ZCNA7IULd7PrjPQDcQOQR9sRKr/VhaZHPvviyhFgBeRZ9OCzEd5zFV1iL2iUnB31iWNw9vT3aSPftyCqeQGz33EUrQ4ghWKclqLFxreW0qfuu5EN2155zhr0zai+45MK88MYaMH6YccgoEFvYKpq1s0wbYIKNlMDNsDeWesBRnL2c4kag/vD3Ixv7B/A4hvGydrKr4dkC1rPKn9pxNKxd1PA3cXNEL7FfbbHn/UPuQCTvLxnEGC5i9r2Pu6nygjqD77Tv77NILMTr9Dsf3LsQcoR4+1VYvPfvajF2lfAuhe4n1hLxyACDGKdjFOIg5JsO/TT+ey8FFA7PbtKW5qsRfx9wZpOq7O+ZS3ruQuyaCdbUnWx+etiUjS8DDplGwlpiz4mBnMciNwCefDZEh0p1IUOvX9RPdQC7KvrSIjhLxywKRTvklrAHf6SlOymAOvbYbwNYu8w9TsJKq2Bj0EPYNf+07fF8AZZRyoStB/k4vl/k8P7YA77ANMrmP4tsnOIWfve/92LwLL5FiX2RNilcmmy9bl2PRLUEOM7g7nbignNtt2aWiRhl2g7vVzgzZzn3gAEsNkbNxk+/mG/XOPeQSeHUMo1MsQyqf9o+vx407Ij1Sg0xle1gn3n18Q/EdtbDOt0zjyLOClvfZMCXIuRulT/9VH53anvE1KTI0G9Cag75ATZ0dNW8PUP8VqK3keH0oz3qF7YpWts9gJf8NIN2DeASODc1c4yfue3ThyfrUf/6/iP64NmfCvv7whz2wwdZ7lbsZ6+WB9jXE/+nlZRI9BsEbAa5XWu/y4369SfS+aBT5gJ24ZCvRBBK4GYNcIlmXgcZdoOinkTP+C4hK4UeCj32kE4P7rzPDaAl40ggnIya2J0McJjsGHaAOwAwpEpwgt5nrxo906NOpWsWcozuOforFqgbVN1whlz4U4T+ARnXZ+pAyhXBBlDFQaiphO8x5oL6fHi/cZ9Kqm434F2zEl2yf37Hf/fegBNeez7U8vSoB9K1/+5FqxZyQ2Nl1wBezPBeKjJHuWLrTMkxU/902RlqHTjAa1d6C5wW+ygiyJ9zPU7rInYtZOJP1EIGjOaqaH3/xdjSXCr59Ic6UmeJOnBHOgCO9mxJucmBx85yJE4dATca6Q6wxSqXYQ54fqYr+cP8NKhtd9gCHmuj/EyJTEUCryKwfr7GWPXKldh/C2tJ34RY32oH4qkTrBlBj8Lwk6Jv+gP78qc3E6e3QprcwP6Sq1BkRF7hb4esRP8FE+ni+0w9QD84q+CTL7x7oWXoGfHSncP7eXoxUq73wBvUSiN2YQ1wuVzKXTWTT+q5G8j9H8/7/8fSLWbAcgoQ/DCh586w9bCO294lIBODfp7Yb0VODpwj2iR/r3j38N97oTfBDvJOliv3DeJGWIzya98Hm52EM+6ZQ01kxcruDLkQYteUqNJq3tOtHOwn4Iwid5b3dlhKKnVXx6kqePpZJNV1F1Uz9RYLsWpftRsLMVUB53/jCY1rRZkqu4iS7rSLl51WU8hXsges0rX9VKMHIXqwZh8Q2xT6Gj/vRWPAPynkiYuMUkB/3U0lIXqlRhJ1zsRrjgP9U9BrTZx3qgqE0wViMG/A1fCu0smVzBH/NxGLmAcYndMgP2bXVthLIbupjRe3HdHXltMD5BjgnfKG84dtSTatAORi0yePee1DwDARfPfPXFVnAfEA+PC6cAzgXoq+ZRATp4/KoU+NAi1sIoBcYd0y93O8n4LXTyce3bc7gvPqtwU/Qs4u065Avp8At/bs/89fXB8uM/WN2hXvZxYFT3/DwsfXz+bsccmb0tbFx3KhfYu1H5f1iyvHm8mRfEvA1DxKteAV5JaJ41yIHMiNRdmVDxeKdekXZmutybP+fZFDvNhxW2+dvw/qaqf183vrykIJk+156LZz6u8tG+uBOTvRiVZqj0H+b4euph7geP73WnsZzusRBvgtG9iVDkvsKXz1wHiA4yjvXU2Tp4/tUdq/jhCA10sTQL52ihUpAEf8wKO+5SN6b/WLp44qYKZWLD9hjULIkRa95BqHHBixh6YXMyVrwEnogTe9fLKKOqJfjWcedU9QX3PVDDJo+d8znNVo406CRbSXCUlaDjxltX6wuZrrY+XSMUW8c8rL6ceo9I7xvOZsU3uMwPPpxCr3OTF+M750OL9nnKeCNfa1a29FfN9gjRhy55gf1/B+Jm96dsyd/7C+S7iJT2eq7tk+ae87nmJ9F86zwHnLbTv2Nx2zGTh7SCVDf3pt/Ol1p/fWzpL/b17vYingb8C52Cc8AAY4bWHPS7EMMxfwcPF+NYOBfUZuuWtqdcwX8N0PqNGok/CrUZrwvhPSZQM8o1AOdNDjax9++4rYDHjZjHkm98kn//h29hGta2fyW4cUDJBJsyLV0y9gmKrcirN27Kj905XP9g44ODYE9niEfsAyhPfrIfes9QjYdRWeAEe+7m0q5v8NWnWbDWq0+zreehH2r7tPnU05lXlZObnQBfCUkEX2wQUwQkFj5l04xPqAOnei+9wrEuLy2HG1l2ZwRpQUf2fd0/sOMNOrZ4lF9yO8Vg0RUsuIrIWLOsXtOUd/J6+ddzzM6wF9TcJHja6S8HMVL9HHisJe/U9LNoVYbePaTzOIc1Z8vPuUVA/0eUcPrv/eS2796QSo4sySfGHGjmax+cqH+0qsbNU4Qbfn9KKOqUWfTqyd8RWbGyIBN7G0Bgxa+/ZHltMXagjyUR4VCQ8FcIFqWDLmAZYu8xeeX2xmwNXiFmTH/MpG9GTRFwGcgMXW38U6h+flVvhaVuLMhQe4uMeanRzSS7uCiCshVpCO694UmWO+25W9U0G9XQnY3BJb/G9eD3g96Tc+5Dq3W9OZPe8MIb8F3E7XdlXNWYTaIF0G+fmel3SDtR9KQmeP9x8Oaumwe67SDxP1vgLchff1gJXXCmenxV+Xz9WvrxklVOBsdOWQWPtsvZ3Trraw2pJtGi9/qCP9kdHSpeIC6yiCvbRT5TjAFxmDPHvSSe4Lzy246PzctRFXere3RrNVyCA7JNlw+X+eyPC36DE3dE7m9Y/Mjbx9nOOdIeoDV/Qo5v049ehY0MR/b+gnCHl/BpwTMddmu5UemyRbAM+29ZjumJywp9PF/JFD3OH99KoTvfEV/a5nfZU9etblweaxHJq5clvLtpqwQcRVUB2WoYj+oo7cj44CWO+uaOYUvQyenrrSnTQfpk4qOza+zrJiOdHI5RrvwZT5+sUbNvKAK/uAP9GT5xM1ZvIxzIs+xVz3rAHyIU135M91D3G4wKmwPgXuBfkQ8LGIujv3NPYsrVBnWMUkA0T2w8i0yiD+ypK96ik7pd69BnIoPJtP+N4LoXCeMtBPbIv8zqcxYOgVld22Gsgii1HzRF+0IzOG98nw+sCf0n3kYg91IWI4I2UYNSP29ZNzMbivs5xq9w/29CzanmRMmkLG91jKFHiAxZriA3JyvReL28sHIB+Mp2Uo0HNKS8CFDovaVT8XYkpaRz5QUyiT5sqO5i2Lsbfrd/a2Nj7gBanrHHARnBPANgY4UOvAa2YU/URXXaSsXuVHu6Bw3rJZEry/UpLFwEscsUq3iluv8QhvLH3bOJcfuRILnMdksXyI4fs1xyEgnT14nLu7VRdkrtkBxywhZkWGdN+tq++tn/YQW9AJw2sd9qbR00RO9Z50/T+/yz8LeQxp7WpN5xS11j3YMm+oidxyrDGS3ztYwEQzanswOz0gR/fZQJOC/AnyZx24R82BU6ZIChhlQtzM1SVW9q9XSepDHLxyiIkb13A+/71ijR/ve5W4f+9i9gm8CPBv+OslUXipAB4NvNbuaA/cxkFdrJvP/tV6RuqKRzHogtt0w9DDZGa3ajRMAA/WnjtD1Peqo0HfdtII6VQj4KDhySdPhUwdiJ8v3Bubjwv6DGO/4gmw9qEZ2ECVeYPdfGsdd9qLC8QVAnuhY4WbfgH6RMztQm7Z5s431kVj+L6bpqQL9KEFPHrRKxrA+Zjzo/mi46+W6XZv0x1gsTex6g7AT66td3IAB0xa3W8Me1Di3oXPkHBF+xrnhYlFX9sc8O7NkL/nwpPV1nOFtn/vUhlSOOkDYlcEa1W2YxqiFvvrfj4fSNZ49EYTqSAff0hv8dhBHmPCfIqjPAGnynXS3iC+MuCzi63P/Ew5dzgfEjJyauIOYlIw7iTkKy/9MSM+v8ppOfBHmbr7+P6601PSmhNwhbQulhxrFNqZxtrrPMBHVT52R4GYTNwvwBzZU9t0VS0Knyx4/897kQ72XvjZbNxphPhN9CrFvsqP5gPwe2TeKv7bf9gbLzqb0h4zx14hH34znEF0w76N0wvE2HCfTF7zn8dMLaOHRs54+F7syhQ4FBPb2WjIMbKWHTf+nxt8H6KPlIljZxvLNoC9X89QZiQ8ahuuK2/tZr0djII1xRkEH9YxSRdwxhcS/fzE2mk9e856LYQ7XYCm92wmBzlCnCJ/nK37Z65592P6rmYivxmALYVEX75fPdidiKNbdbho9HOB100Bgx/Z4VK1MXPhRANGSTnwzrPunzND2GuLdVbUYF9jHbF59jb2jsIm3cNlUKV4VCpdK9gXO67X0mevO6KPqn+/69iBvyUhxFWKdQ7kFrDGF8bXC9Rxb3uIby+tUrUcmDVp5YcOL8Mil+u7iumucZguYhtzRzPs4cmA6ebF0t8Pv34BQy7cwrjdlpYdxBRrjWVTI9OEjXjfLn28n4e1jNAfJsdZTaz3AibA3gPjo3+RPpnD8gDr5/OSRK1b3YC/f9eeQV0P4Jy/fQ6h4uyr4uyfbhyJ3NzaxT521zlwhF15uor4/qVnes6cu5ISvRHpds8NkCAyMpJ7qEeGWAByFupOBxmB5zObrvHJCM8DvVxffXoqK/WH6YORwXpU6n7SA7X74lLuZXsVUlwLX8zw+pqqKdjO8NzGzv7zpr1/wPm55/6fBc4KbL3qKlUwwGdn//xGybVxbbqPq18f1erpqY1xJv3Uw8LdD63P5/ATvY+2nvQgdAiTsAl7wzS3Xy2wFsj5Bzg7VzZH8N+ZygRTtQwTGgUTL/MZ7/yAizjmvzmP3z69/nLLS9Y1EepnkNgkGnUZbtKVaeabjfHsqVZmJVeUFt60Ri9m4JMz4JNbO5O59ugFuAfe71E1mM92lZ54JFGZKWMDeQjOXn0OAeB8Alx/VKXMjGvvZrhceEI2WWx/VKlJbrWsnbSXK7luxJLkon80ZXtrIEaxaPnsxX/ibOV+KmnmamRJ67OuFndieOdmR/3SqVhAzleNY67SskPmVAHGUIjbK1VOrh7DmMZuCu+/qqV9CDJF3AliNixndqTTTjKaResrP5pO8XTL1J0xq0/tQD8bq23+uJAiCV/3Gy7QemIEm9HLqUI9xThfAN1+a4cc+O5FKGG3wE8SRkKswZOn7xh6jvvdRy1YsEt0BvEhMo+ll/H2XhCz20lT74/s05DeLeLLi+sB77MBPF8KuRq9xr4EYAiI+QPEoQJiCWr2h3WfJvkRe2GfvoC6KLPzfliKqljC85REx9gb1F7rxFwgZwCWNauqD67IEQv318fHyUaSFSrwKt9ayru0Vf3COMsaO5YBv3QsppVMaN6u5KV217equGQMdQRs+lOIlHE485XjdvUx3cE64dzfuOcMNVEyiKoH4PUvvJFmzm3OnPez/k+3VsRuL0n2APynMM1VPg1kdIGdnsIeWwfwavdKdgJizCD5s6/rKOHsZ44+V9g3smIPMZKFIvQNQuT4v56KC/Cl06OO20U7dgP1pvvWWd4K5LWKHIWX+hR94D7enZ2yBYW4kJfdqkYNeDhHsA+1XOmBJcYzELsLpb/NUZ+xLkn753yfC5/jdQdboA8kx5kmznKeWPKvz5J8yEHnsL5EkU6oMpUUPRg8U26Ba8J6LPZ2Df+COO2bj51afhV9twHWSYFLAcrRV+wJy0vAVo776+ODtRfAvEnhhqSaxQP7XE0SAg9xv5QyP0+/T2u/gNejrlsGv/9o1WUDOyLQHs71shQe5cc+So95H5y0R0LE48VRR5nNZ1zjV68I9vDv4mDROGQLnCZpXLlDT0vAoDfIBmemyI90JuCegL3h7EgpC+Bsfuan/2mF6R4wxK5VnVd58ryLL2T3sTxXM+mBO6JWwiv2og/KgbqpzpzgrfKWk3ZOrvQA75CuaN31FUuJPGZdC6/Z8rRAnfxGONfmcMnZ4HrA8RaQy2LID37jdaX0JaQM9tOq+9XgPSF5aRHAWR5uZzZqilor5nEBXpl5rZpuJv72IL46xWx1M3cZoNyoERfUHiB4/2gc1B52sZfPrZy/7sab4PlNj5ZrFzWR+Mgc0zPsxXr1wNDKs29FJOvagbUnshecXOuIVcXH9yP3XPS/ebRCVtzpAMeE/3pFkKMeyVejlpl0jCPsv7q6mdMKvdB4v7RFQuCspgclya+PKvrG8F48gFUnRlGxW6Vf7Pj3uvEnVrlhtnE1A2ykdJkuCsBWbckC0Xds69gH4FrsK3/eufPEZHvbz+LYuoBJmOwNelXrjLBXD+euGKbv3LuXlXOP6kgX/3SgpQfZqgRMW0i/BawCNBw9kZ2/Dx1falGyN27lAvB6lrv9w8TEGk6Cur+TZrgXjaOl4ehtur7T/81WaOrqrnHNuXrWCNszatLteOiwI7BdR47auQ/NMF0a53J73S3DM1vnavHgkdnoSOeNmCR3JRcxwb6Juo1dK/Ge7pjeN47zWi/k1qE6/vEzWGvGsS+ZTPtEs8q7j//OORmLkm2AQ35TnwyAU8P9kN34MfWq0nR1fAF+zXQlaIo+aJTYda0mAkgtER+XSQ3Tr7+DAT6Qi4nR4t2vxTTB97lnqD0N31WUUyIgDz/vGEqdV3N+F64BDJKuWqW3bWyPZpZOdgw3LAamXoYMcG3augCA3G4ETHlrfP3CUZ52uhA40/zEf8OyagjsafS3V/dJOoiR0jEjZiXm1qeDG2mcbZzhlHhdir7SwLkYjS4UMO/3q9eYryxwKQLcsz0L4OK/cb6/oBflTP12oSL9oYf1DLzunGNtsgxD7AtXkUmzwfGYRwV31m5BpGLyz6IgXawGnLF698Qs32rXTMaVXXvsaD0sHk/d8+NvDbEoOMQbD2DYqnsTkLvaIRi4c7tDPgwKZU51H91ojN5F6C1fBbm6LMQwnRpri1yJa7Zan4XqKhpV140X5MAlqsxfu7vie95FU6qi/LU3cjOvHciVfi77xb5Y7qj6P6aurclRnFn+JS6mY/w42AiMjdwIXUBvgIimQWDaTduYX39KnnV/52FiY3dibSNKVZlSVeaCTy5/hzwZwPNM1JUPc+9s+iVIPl1wby/Sgfjdc/he4EPO9kTcYmG9Ao6k7+XnVqs8gP3db0znBAU+8FpD463SCPUlnT93bi2yBNzKrFgT9++tAqRrcoKZEeca0HM2i5MdWGYmm3cfbqkhryG9kxxqj9HJspXXcNU2Gn1mNuz/gPfp4/ule/DsO64DW5xFzEgw9dVuC3XQzKHapMjRs2/RaBZlAYkBUS8ktMP/tPqOMlQFcwETrQTLz62TDR5g+NiF/TFnujC+B4Sv7LWGRdJvMQ6se8mU8U+/JuHc4hC1tc2Nv8OjCVqfjvXCrQ1gTx9w1XYCThxQJpOKEymgfimxRIVNXBHE2nA7yk0PuV2ebF/y7Ps1D+vhPL6xVUrAbV/qcy6xZZfZ6ONM+z9Ql8enfo6YIBcSO3OkB5zVB0y1r3mrFQNeyM384/MuPkjHg1t8fruJVm9Hcz/vHhbm/n3hwzX93LpHh3AhthRq/In2095IJgPuDTLD0Y03UqDbBGmv6tWeaDO3tSUSeHqGYmrmQDLgCdyCGm9hzP+dH1rAx1BheT/HFb1y745D3lGOZVdI8Qxwk+yxrCLV1p/zD+GtkyAepT0RylayBEyFrbijURwCvzVngHFmXVzOEeDq/g6f7RPKgRvEP4x93EWPYR+S1xouJ5tQGtzvgG8Bk6IfZj9nzFgSbpckh8/bA24MsT49thcuWqgdH/Y5Up/N0D/OUfsmwmKtQpXIFXKAdX+eH5pztgSwRR3VN/E5/+qllG5MTw75MTqsifHjdtvkBPiCQT1ippHMhd+Zq9L4R2Ia52xtAa35wCcLhw4TosDVSzYvgvJdFh5cJtBS5k9eOTX9fUNX9TojeseDWpo8PhIxs+TxfU3c9pysxGUajWZ2GN7hwDtC5LBNzwGC+kUevJdFIrZnCTyIWXMEuP6NhalrtDKKQX2lTN2kPtyB+5ZGm/L3DLZHmYKIKnT8TTo+J6PBL8sB8pyfOjgx85cp8wLOUJAaVhXYdjK0X1DXwlTIot6Tt9rRI+kCr7b6B0XYV/vAUSMWySihJvzOVhzNu63d9FGYGcDIn8tOQdHTl8rlG+A4pufFZxSfjk5slL2Bp8A++vVE5la5+gHELvAueQDODPscCj9sC9pvNtL+WCG3v3LvWiPTlzkt8gHr6WBZaL8053+FDXxVkFuZqx8eyJitPryZyXg3txTyC0XPOu4Abj+dc+2QfsIU3msNGK/MfQf4/63pUsv0P75qpWT3DYY4Mq6GgHWhrvy5QY651xFZklBdGz1ZtctvZibC6F5CTKZZZH4QFEQ2v9FgYdUov5IeqlI4fZnzf9Obmz41wZE27+i/7xoLzYGpFg/TB1JbRuvX43xAU8X+8edyxYwx9U64n2cUZWe2fSeR9lTHLGx/PP7z+viSKH4wHeOsQ+8Zx0eRHzyZK1QHtf3q/X56zTtqV/XS+JHfmfPnUeRthCE7i4hfhbDWgqPyjADb94GdPfu+9KW2vMX0lFVicWho9M6RV0FcZBYa4Dclwsy5U0nKCPPf/TVywBybO+Rdw6mzlMdGs701mqhZyFkKNNRocNFATlBLCljr1CgDSKONzDYbFc6Pptf3JNw4BWCGUksXcGEOGMpL9vGsVv+F2aBmK9N7P/M8hZzOvFTziTHj5RDfoPYBV8aQIyTwEI+ZObVUFxvI3yPTf2/NqHyDIRRbjM/NEXi/W+fTKHV8O+dxWwOEgRh9cYc1Ad6VcrSr+4Vh+nE1Go4UQb3rsS56ORndFyKkfwSciPsWEciv0iZhJVDQiPkbR88ZiX+zMXv+U7Itgr1XQg2Vau2vBMnXGoZMbMemw+fS3Ksy7KdjPGLbDwFb/nAnZpX74RUDn+uhhbrkv51WyEMd4Pr84nDmTdIx+uqte7Rg748aJex5B3ctLO5nwcwg875y1Bfs2QS4fYYFcAzg9GLYWiLsN9T+u8qRQ30Dnuhqo4eypp3/Dnv3DHlkVRE/Jj2f6MpDqGGdCvUjs6C+QnQWVGeJ8Iqi0z3skVfMHxqENmmeWJgB1rfUe9mhRzogYABkevp/sLtztIGXrwjiABcJ1QHXwHUQ+c4Cecj6rQ14aDQeypAbrSryL4mdPDLHOx4dKZsR9b84asCfRhNa9ltGAJ812syY2kECGDi1oK45gEfMPDdtNXbIu6nx51A+6BC45ejvgB9CLm39cjffs5Es2MLmTBDed3sVAASy0H6dpTzjQdlkznZz3rDtRsCz41BasJWdk2W7ZdRuSnc6mLtOIjYW1ECHO7gEPj5Dbeohf64FxKHqIEfbADL6wMxtm3NUH7CizdBvr+OVr/6nEMFCBs+WY70qtl2BO23qvJ2b//A9MCheMmnOo0zPkE96WbJ+G1NNztQBlM/1TkUT5C5IWK68St67ieC3hBt988tLF+tWjcX69EHKyQApek562zO6MaRHOO3iz5IBl+1iyKsYMDrBjE/PvZ5yyPFsc2eB0XGIc7WiEQfesc7RqeljWD9vTJ9zHe0rNvbNEBvtp7boSY5z/vnkRGa+n208NbYPMai0zLnJ206D1CkRLdSfD7sJlTY6jLU5c+9j4zttCS6BT25T4sIe1+SzAu7dDMurVnZZsPHkYzuoDjgV5AQp4jPtVGBudyB/UZ7NViFaQRwEmLb1cA+1ntlGnzdMBImLVb8R08s3Tle8b+eK3W91P92SfhGl8b8R//NsVRZKee7LKpC32pIj0fhxRpPxHb8U/d0uVnShe5nU4fZheB7Vh4Wg/s46dYPaMEmIkex5P+QVgMOEGNpvo+1d5dx47kym9+515lAItQDPzUvjrWhNwFpImYxtCjnSZVCHWBBvqmw+0MH+7/yjXwEH9c/eLyt2GnjfBeSTUrc/Z0F2Z6FW4/cHvOIAPOwHhx+vGbpZWobbeIhDjoK1+pRRcmeDNt7X8dHlMjFavDY2PisGA3+lvfwWo7xAbnpqqZKuAOwtvwGjCon0A77PbUYcFqK3ju5hw2j8Ou/NaluZu8zrc+bUUT8QIW8qR7rpGPC/2PgOv4lRmbtr16wp66cQ+PdN9rVztLQ+WuqSWPG1du53tf+4sVBtjJf3OeQj8F4NNfyll3I/i9QCfGEfXdULVCyi8yNp8LLNOxzxNXXa9LjKjFlygLpu+hzuRT8j4BShCgDEDGb+fDIzPWYmtmOs/ckCHmfZfE7C4ibt/nd/KdPXQgFz9rrMeuOzabQm7VOpJ6Nxu+AcQHtgW8zGMx4nt4Bcl/QeM97c6tlHTlLIqQHwRcw731b71miIHmsnWI8OKthQv96XT1edkyj1jDfPv7tnO29yXchcDrXxoBaQNkJ5xLa8Jgx911x9KidZKlFfE2p0BPw+e/YBpk5lzT1gYj/jiAGjlsA3IIZ+Z82gnnIGv9tmZh5Zf1jAB6W5m+HU32P0T9+f7sm1pm1UjxxlUbtwhh804KavMiEhM9rHfibmsOrje7KbhzLygzSDf668yELvda/3KXpzJqQdwCJu6mIBOYILrX8A9x5FZ/wEPzzs6CsN+xvv5Bc8L2AfwAKcZ4XWadUbLRkSkqj1pYu/k4h08N7XtFcxYLy3Bh7itb9M74+yW5Lo+K2iyiUI8rQTp9ljy6VoccGnvDAzHAybOXCLMDkb/yf4zkPFSEJzQriOeZUnt2owuljIL/vpwsyMnUBGF+PVz2buV595GZ4jLkbI4KZOj4QDFv2RNkbArx3pxu9prjcNmz2WT+8UOHhi11fTjyIAC+B+s+Ln/e/FUoAjcTgBh5q7hAeL/Pzz0u91+UhWPLa3Evk2HpJF2VOYuKSA78uT/v7s1eL84lamN2E3j2V+uPMB1lBsdWVmwFgMscBbRvlbNeo07VqjL5UyV30bv0qD+f5bQ/jdEAf9UqSCbAp7IpWZeczxDjgUL4fLqsTWlX0Pz2+/s9w32kUl4Cufs1gX47Qr7Pi7+fyzJoPWZei9VQ7y6wjdGUVv3LHujfjtn1+b0FtrTXK+mzvITfaZolFx+ZZa6kgd3nHUdoTxIwPuCVg0r+Gd4oG8V1oP9Jmz1CPh6NF8zlnTF146Tszo22L4PTQq7g3Xr3uindHMzSLj+UXenvyqb6Gm9BvpXlb6jMtic4YgPdkxI/Z0UMAN4RkxNWc2T01QGZh+6jMlKwu4maOKz/vYJLcAcPcO6sWLp2yYfuonP6pI35s+eKR5/6iY6b3ED9Nn3gS20TVIAANrrMmQcmxnKzmrUV5r4+9L0fxf/XPoSOZyTNbC0j1bEZDOw72M9PKLsSl8/nq4n3nspjy4F525d1r8OpzPwFuACwROrf9e6V4h2G8ec+5XPsDzcn0Hzn+o/tNVquxpqCn5UkN7SNaYAn42+thvNXCp17250Tyr8sNCdewZ/y9mG98w/05GGWUax5ALdtLZXo42shqjIaanp068cjabo4kL7V8rjt4SB7V1j5ZEzMYPNzG54KlnnqtXP9uDaHIpnPQqqAR8xAM6oE9T8wT183NUP4hbw5padxECbmXKNR6WgMMuwngv9NjscZ8NUNsEj8le+5TFnhI4e55Pccj5HXrdZR+gPrWZaEfgnm1DjbYXhkqHJshLfQ01Nl1VIANyJ+YMfvjjSCcea2DegOklxGvEjX49IwNBU5D1MeytZ1zeiV0/mLN51Gv8el8EMMyO/vM1k1lE+solaTVe3PRz3kB+0ue8/S4ZOUP+g9eiEwr8DaD3/ORXDhAlo1eh0RF4W3Bm3o318VcJewWb82HX3OG/Zs2+gZ9NsK7bQAXoocIl52xCEPkpyeUOPgeJgEz/9aZ+Jow9kjDelGNvEaS/VW/mVSDuut4BHoTUnjjJ2g51FE/GE7we5ii17FcPZ9JkW5ZZpn8Pe9LprxAHGWC8lWq51ja8Q8Dn3LIDGsRnFuAb7YA75LHO1sRNrG/L9LMVAwFcat+rHuWVwxx4Eiwd/lNTjvHQv/LhA9tkZHu+0o64dAWgZ/yyB/tSDu1E+z832cn1ZJNzPUy7LNi+s2EKalR4gFnfU8Cg5u7mHHhPjCd6CWjY6CDwA4P6jyPAJsBtXriXWpCfbcDOgyroaJImGonrIwl5ExjhDDnHzIN5kPvgPUlRWEofHfufZ2u2Bb4x+SRXb5wTRiDvlIHcK+vZN4FZJ9+yPP4904OYBeyPWwGcG7BjWD/fQWDXwL3rzt/zoLCI9n9KwLUVJ6a7vUz7BTgy5JKBP7BVX9VgG00go8V4ZM52lGHbpYDrARP45f5XW4wCHgszxndSLMcysI/Swr7pFWZMxWekQxF9GD8fww/2kBPPyYDfsSNvZ7GstRM/PWuSx/atYhvgQ16pgtjOgmlNXRQkroK3zn69FxXEay22dxEdgKfFT/0u1qc32Kemn+nx72wSRTXbBsCYCEbccLorPNchNfpgxo/QmYei94ymKDCKv/BdcubOFop2C1jyV9fxE7PpE/DemtmAxcMPFzDbS+cgIz0eM6Bv3C02hP+15UCWQvPB6O3Be03FnvATcDoMOMbcKSauHPBufuosGS1GgaZ3GaJXHC6QawdGWyKdxKsQ5I3RaI15pIQYLIScjCY74MU97N0p+/xjk5UnT38OPbWKmaypTpCrvULwsAEeXPWbK2XoE/CizkSx1gN+nc9vauvglp0WNYs7ZqGcW3yAfLjwoI0k8PFEHx4pMG/gKzbw88+aplfAZ5/clZcMGS8422/C5xypz8aWUgfgkB3fS60fGU/uyfA60/sGjCLfCle9E7Zk1fO+2MzlP7Wcr9VQXDnbRurzj1sFHzcStq5ynhzVOj225jysBUz9fhbPPnic8Hojwq2t/p0d3JQdPxJavM7MieLaY31h7hh74BoT5NEHpKZbamZ00OXBButR2Xqf8OkiTZwgmZ+s7Wdq6ZFxPwZklNNAA5/CFywKhzhLCHuh5GHvFDm7A419afc99z3kQFkBygEMCbWf2Crk74XTAj9ELtQRRPtpqfoPC+J5k33O+7TjX2xvNGRNT39/PVrAi3M1COCo5v0rt51IuF1L1lLgkC+dpUwaD51eZ1l0uTPBVx7Oueji/nn+J7ZWidScDsUt+6clDDlSBzgix5JLs0bnZkhWxSYXuMBRDvYxy2GvA2/N7PZkNGoz9md55UPutiPwk7gJuQA+a2ZBEFmh1muyK3qjvzuZe/VPsQeSamlPoWAlorgnSHYp1xPu9a0Mjd+U6rIuWI7WHBKqCfClQ8ESR6DfWbOr1Igkne7MzClwvaDUz568Ix5wC7l/ODkkAi7SqqHYFLpYmG5PtYsZ5No+cWQsPueucvAbYBnP+D/iDk/JqHJiGT9vyA+Qk1/4sHLVVxUANnGDO7MCm7vIaCzGWcc36nknKPMSsMxx9VuqW8Kd5aECdn96Z35+36SG5zbOlVCTjPar6NXCh3gj+u2hHGSc8V88v+BOD09dzKjdmftOtfffkhAwmeZWBnkGYirmXBZQayGLAK8L4/RkS4vkF6vJY5fBehlvzZPDAbvoT+BXq1rjthlVryj+PLP6db6RFIA8muGwyLFearbcylxnOJ9+MhePsNfOpi+IB+hY8cPSiFkklpRNH3e18WkdCeDiy2IwdqEPd6jdb3hQZ2l5Y+EmXmnZcR1Mr7q81BrvIa8nTfS6MywWspKO7v13wxsbwESiQ5Dr0Dk1eTkEbM/Vhtv6y+g8Jh36fPZjWOTM7eed71Aj2I8i/gKc5EL92r/iEPAh4KwplrxdlJmrDpXxrGEyj79luB2ojYKiN3pW+qcGTlkh4EajOh8hb9RGPxcBxqLt0uRtcFr1/bS2XHb9QsV8EKjlmfurOWOVwEWBT5ozyIJT7CsWLIAtutJoORs/TBtF0vqzJEN/LVcfsqXB2FDLVojRVe3N3QBee7ek3BZMadGpLwV15swWnTr2TGz8muOI+IqOZ4YLGgFe4f6j2cf7opNRnc3vBez4o4U741ErAhuLHmXEIt9nZm0qZ+vWn/MMnO67+PwD+wH49u57UQ7U2v5jBRw1Gf1vbr1mb78twI5d8fjjlR3zGo0j2OdOPXjmXIuISKZ8/Hs7AXrkJsb7+VbaZIb34wNeDCE+fyjCkqH2mAFawKPsK2r82HVBgy07reTZW/I6I4LalWWOap/6Nnv+Uw34THm8JsAzM82sM5t4soffyZ+49kcJYnxHPrk1RwWThPW2Blx4TIzOrx1YiXW4yuFiJYG6smErmu53ptjQpAXWNc0CQghSPh08DbzYZVFglSHw8ycmaHeQ9yyGZFsj9V4j8sYAoxiPXJbzt8TCS5EbX+bYSgAviyAxXgKfwJWBUMvX2XIveh6fg9b0k/amd8LoCT173DuuFWqvRiMVKmvPEGDofNpVbgyVY/qhnHsng3Vz+Fy29arocDs6KXDZwkqiD+OX26d9sgGe9tKpuDV7KRrAl5CnZCHYA3JFdHLxFXKjTZDxJPCBKUjgmOirFviAO9jTzH6rQ6N2tB2N1xXe/bGysIc62a8KcJrxGsDBvxqY/s9j90RpYQv+YTfC4FoSZ+NftzYaNA75pGN8rAHHpWze1wzigsanLJslH2wb6tMROCcnmotkRJ/pYN15F6/S5vqJRz5nqVB8Y+5vjzRwdSR5hIbn3LU253/yTrq/V2zmx3uOs89tavyBqMV5ZhkjknbiFDHapQumWBi/exokluoXlwj1JoxGf7i4Zc7HwiosGm7/N28OvC+F3FFa+oeuajxaraCOOiphfIEnbPrWn72o3RPbyMppu5OjO8gjC3A5wC7bsNbBDbBaSgbj0ze9keg535KeIKcnzuF1lx2V3PehFu1ZYC1NSAqI4ztxnr0hS5PNgFuDJdHt+8mR1PjEwJ72kxw7VQi1hxb3M+rvPPpYUgoZ8fPPtRn4Ptv9cc/Rh0OswiaPP6/zQ09lswscLS2H6ZsL25YO+Un11Fdh+1nk/pXbvFRjsSa69liHvmANB7aPYzx4LWBd57jW95JiVAbAlddkQzs/wuLgAFeW8rHdwf59nR8+PYMA3zpQWx7/7qaXhESxzRihQEwu5dNfVF0qm3/C7/kp8v7BkaZJLlkVLKbu+MbLNtMxgjh53vk2QfwFeWFtRJtWQfvSMMFGHxjWxzN9FICZPW7jU8MVTd2JFiPxakdDHHs/QKd3gukwg5ipLQJZ4sODdwN8+emHWdaQ+6X4Y/wDrEQsvTJ3u+ZMqf/NvZ/perCowYa0d4xeukD9Wo7Ighq0SweVCSE3We+tgGEm4F156qpcrXri+ZQXPL3VTrJJApNb4DPY/Q4c1z+uJKghy/7rLbFffSmeyeMKOC7vl9F4zAAXGOBPiPf91UwbspDLRqsS77ZaUBQDT/wq2XasRn4qEewjwW94bB9Vx66Fs/WaAP4/V5aYLZHqZQ757bWXXbX2N8DNRcI8WnCyl506st32iq0lVICvM0v9nGls5rNPCdRTo99CnXgDOIXUSArJ2sX0Lzy14nr5UzPAs872pzC9qiPgWveFbeYV3rsvc+nWId+nkKvMHE5mT5tmAIxhKdNnguuIvBPULtT0WuvDArjqG7DETT3nEuWOPuaTHPUimNG3xN+YxRk806UwOm8jfs34TEK0us6J0TuOs2Bzb3IgqHbb0r0uauZhyFdZSuMv7Ew7wEsUR/KOw5YrtkzYRlZJ/0IN8aZsj4aMqTdmeQGsT0i4elfMeG/99i3PTZRYqYb1GJI76/wAgmMugLtwW5lztqkJJ4ot40Nmt/C9SITf5nzYe84FRICPIRc2GpVk1UcS6aRhT+1GwNttW5ozYst73WUvDZJT2eMvGvAHZ22Qod4FDtpBbsDSRU62T1wyWGsxmt7vwGkG3FXmzpe3gLnRmViLMHcahbMxPaMnIrYyGYKlCrwQI+QYffTX3ehplXHC1UKGp87nFbDeJuWkS54zB389uk9ttUeTCuMbYNofmssE8HTGh1arMW6TvO1EAHXEwpCfAHWHcpJuHMN+CbD2U2X/fleZrTg8An8D3nwH7PbUvsy42h2dBWrN3zWBSEvYPNVUGZ8rl4bJUo7xNR0SLwkk4MVtCnzMBsxLnjOsjgobyh4SsFuaK3SO2td5L07GfuVrbDRRNg3knIb1N+Prm/Y8T7PZgx36LiCHG34ow6dGyQ3wtCW7VmfhZSm4f0jMfdWIp0YsnymT//VIXx7qv56m1/k8QWhfWdMGsGME8W32rpkDaA2/xnt1LsN51wSqVA4nGMUu1Ls35vDvo/Pt1Yj/mzNihcWs/9f/hiDHhjFgWBJgqHevfgBzN5PaaJGrXlOoq+egduXuewNpa8NGnNaOhFX2NpVtPGEBj0btV9rXC4cY4gMiXMvNs1euj0eoE3PBYgdwydMnXnE/aPa/93qSGnlc2BTNYO7UU0sGltG6HiDuNnL4c02sbYAFVAvj9zsqiAO1q0N7ft7NubVjPHlgr72lbAKMbfKaWqAG2iwi1yQ3vR72K+ZdNuigcmy/Gdur6lujvxBAZknVY3b4GP9kwGf/adJArmXpQ0T91Xh+noP0kTjxraJ+a7TW4f1yc3bKRGuluQbMxr1sMFz19+4GA9f7Ab47Vi4Zk1ECnrNjEep7PSiUDJcN6aeJjr5dRvEM+GwBzLkCntwzS5UN/E5icUwZBkytnSqKnSz03tIxtSH/mh6mQIWyeHG9xJlWMpJbwxm8GVKQ0ZxXeljlky5y3h7NXKLJ75l5Tp3U1vZaZNuioXhiexKVTEJNnvbU0jm8rz08I0k4Ombij3t00VJa0yvmL6bX6hlLgv+QnJcN0m1KNWCMWBDO38n+AzBkckt6z04HPddUJmkP/IrNjO/ZTXWBS61tpxyvSxDyFGAkwOHX0tl+nwPPP6PihecBVV0cpXWbMLmcBXcKa/kEjvXeDOoHR1MHXLgsgzhQq+ypA2kw18fajtvic3bYeFkqZ/M42ujrvNffTVTfpJhPFf24E3f6qgT+wdn8yvNGbxJiLLbPIR8o83Jzhw3r6QK/Mn4QOgPekDIemH6KjLVdvaqLyr6vR7e+inA5Ggwgue8k/dI2/dJl6GPBoXHx3grglsTo+v/3XTdzNkV7dqdDcANeETQoWLnWe8CNUOtjejJ+s116VVx5wui0774fYkA843zO3DYnLBaJUbemh00m0CA1fj9Z1ob1gCf0VNLAe8XGlQHKKcY2BBwRF7Z/MGeTCdTSowvYSthvKY8L4M8prEWuAvuecJ9L1D8KnUJeV14dJbcsl/c68H6orVnmEOO9DXVrvhn/FOX8ciIsTV3q4gkDuuHm7Jgpu8hbIobJqo1H9T+dxgx4lFsM9Qp8GPBQcK0GQFwrHzLKixrioww+PAz4LItwkgVTWtg6YegCuGn7uv8Knmfko/9FO/YoRXE9G+2aMLlKhkmGWlhzIutOw2e2myaX8Ll4n+2LDWXqcQ7jmATzALzvAnXsKINlAVbSAm/9UZaCeq5tDjX9dQ+bjWqph4tzdD/WmupL1dvvz5kPm0DcGa+jdHMGHpzYRtdp2VejbM9MOpzqc6MLF+/NDDHamz4K5fo6s55+OcGZ9t7JuRgO+Dqff87BA55/8HDjEjR9ZkH8Vqw4NfsGeKZbDvMh2X2vTBw8RWPji+U3w4fRLQxTiFWWxzuRGw8TdGqQoue96p7nWR1hogMuj9BLV+QNYvj9ySMH9OBWclfrYVN28RfgDooZYCUX7evgz00AL+Ou6T0NbEm1i3NNylGZe/JTI6TL/p3TfMpITtghdrL6OF39qIH3+JqtoJbdnaM4KSyPwN+Fgi1mFskHTAR7e+s3DE0CKUAdijG7vcFedEjemrucIUFYQF2firHfFLo9AO9HAsleUBUKSo4qkk5t1a9aaRfDhyPzKWz2z/kSm0aBoxz71ETq0OTtSJzixqL2cGZxBPi5AKxjlRaXEINfVcidZJVnWG/LzHrBGg216V0C/MGeGij1AvkYv/BG2XtAE8kOO+pe79Gt6oIldeE7xGtOSvYQg2tDn7OB90p4oxrwABVtPdp+L0Y+yH5rPH4fiTUvqdFv67DRlzL85dnP83ou+B1B0SU3bNdus/u+sTHWMtu+NeFlPTMb8OEiZMhuArBfxqDkDHEg88utNppH48FStgYuro60R7uCLVhZxC/c+Kd066evcRnyVw+nx3JUVNE0nmx/c84D+CMtIsxdVX1jVFplqHeFxk5GP1amW6uKkJUERHI93XhXe8Qtbmek0wxNB9wfHmZ2puzjgeXkp+q/1wSw6StHAYejBayPCmKSdq2d7P2dtIBhCZWwAFnVym/SVRvZ/XVFTkrAHTs6xF7Fpn96XiGHmN0eayElz/5AnrdTc2aQWXJT2B9Xtv+NDRcY/FvCZXTO/jiKcjdxArcJsWbBh0vM/WQQS/jzb786+gdixIbY2wBHgowJe0AbzycVNzm7k4jseN+yM+I4HWUA6zWllnpx8xuUye+Sa5sGyQ0whzyjZIOBswntt8mg/HL/sWGwz8+hjsQo37KQ9AklY7MnX8Yzkq0x8BN2gzj55ghyjW4/oUbsCdNubU1ByoLXfEpuNO6AF5h5BePL7ZyMdw7w38KGXGjFkPfJFzU4S08mDk1P9KHkf+8pR2nR64PoP9xatNL4fxwtsjzn4M3Z2L51GGsP5f97X+WwMMXmNyLiA2EHu4m06e0RRmMI27GVdnKp9+o7ZeRUa33OAnWrbLkoszeGwhLBBHWWXCqNsjNvEfAjowuVir49Y6qe3OOFRStWezxchhR4PBsk1DA9Zq56lA7s1y7+lBDhZFX0aLVdIdp9BrWRDDwoDedF6Ay1Kie5wsBV5+Kp/zbdsJA71rVpFk6h7OrX+9o0Riea+2nFSIEff67nbE5ZzkmZqwOsY8RDo9MEdfGxjcvO1CvIP2JC9Up25hxZaO1zVKyl6Zfa45MIAq/K5pCECzWtN4AX9S9mo3wjwlnWzvL25AYhSuD7j4DtHg3sk5Prm7nasF71O2B2eC6dwjtZsEbG0bbkw/xuZqOBZ7zjtXYTVq/1PrgScbGh1u7V+MuXYb18L+2RTz/nkEWKUD21UvuDBFRQ0tbJeLoCH7md94CJs7ngn/NPtgLPdfUDclfKXcCXYo4Ba4XGy4BZwJmBP1Nne4U9D7i5/9V2ZixYaacmwew0YSQzEhsVir8Zi6UM0b0R+pTmvtHLvp93UIMBN5ln5fsYkUHvMmdrG/9jo3tS0/ZWWG3Y9DPULx4VnXZLsXlxh4Gs6HKO9EyZXZSAaso9XjA382eqMD7TaQ/EMOdmXtH0vJieQAF8oShGozld32uBjrBfofYfbpk5C+l51gT6kgUHu/ynFfjqgRlKMXNlzcOzj39UEIGzORtZlG4hb+PPZK1XSeMMP74teJcBrF2ZrqYvRJZFvxyLVUE9wGEyyBH3HsTzdGR9samMv3fvfclBvvwrgW/ZUkJtbnrrBjUrEUN7ldbW4i4+Cl4ADtInZnzFUArYBwEf4kW1237R4bAC9hpOjvWQAzNeX96Zw4e57cQDDDUYGV76kwTeyxsOEWvjkGGai3ESqSOXil+AD2tzVvvZRLBX97gFvOMabMnDiZ0DHtSC307WN2A6nT41BHt9hZxlJZ3qE2BB1R77Kmc3GcU5ccnr/iuj1sErqYyr1Tc+MKHRtEt6nPJV749Q35X2nx6uaT51yT5Y60hvUv5PH0wEy4NaJGCujKAOAgaXLe/wl/GnJs7WIc4fGwOeep1vSMdoQXDB9FMrPT6HKE4slBXutG94DWTBhnecAPZUzsnxnKSTowy3S8OWNIPaKiJi+MBauTzI+jYjsCdSpj3gMbi2E8AA/q+uiOD1I4P8jLXkSY9iaQOI7mMO++XYcLkrO7mXYVyaGQq+92UZtl9PrxbaAs8lOfA3B/JLmfTmXolZVQ7vS1h3tvpfLNArdtuXL2d8zrYtGcx5iHwrqbIzRtzq2bMr18zSz3kU2NtfgBs6wfVP9jkPeN/fG6avQpBznftdYfTdVz0azfhq9+eW/TtryY8P4Av88j+fYmYP52CbJtk2U3yaBOXfpWP8idSBjFOnLKPrk7gsulhyQAPrgZu7rSzyelMNMlPGN1b7OxX2juind2x0jNnsS8CMlcM9Em5eZ5UD4Pn3evdng53gkQQIchZ/ZGvsJbqGnGFf4VsAn2xHiGVIpObsy9Z49U1f1HtqmZxB3goen5WDC+BHRqPmCjmwTOzJLcbUEfQXi2aEp3eaa55CTj8H2Him25ypd5pzc3eQVRBztdNi40VAAkRIoEoetDvACQT2SpCKbQHYf266GGCXr8/U9wjgMMBAV6LVm9Hje/Xqq/7jerJbQDPeXQ1tbORkEzR1lYUCwuv70Zk5t6e2jNACsXYuug8XkBZVCN2anpQkmI5J9r0p92ZyH7g205//6Zi+Qx32snF6aUiWwHGiZp9upGZOSgHnWPVCuNxQ4/cUabumZCp6+VXun3eEfhakNh5aUVF2laE61xGPYc0k/F0Gv+8nCywL3u0tiyZR6PgCNe3X6zkZkX8WMs4efwBvFDe54kXlsN6AaxPAEiYflp2Cvcr7tI9Z0rUbjpBzjgKPs/l5P3mOZMxsdIbvMvqvRNpTAbzn1iB+ZFy+4tApIx9CmQMzb42HA5QMkp4c8ryrhhwCWJt7iQCOGCbG73dha30H3BqbUc/ksf0WOcSdWBjkr2s5Gh2TJUq5/4aDmfLR5Ij2xb9+cAe8XyOTZ91m1MeSXZzGzCpotHK2sXEovwtn+w3ccyrzi5l1akuGdphPX5A/305Wa6l9f4OYlLILNvBMt3qUBzzMkNP8uLbw6yxlX4ewJ3LgsHoyfTJuOk4bEfA7yYs7Ho0O51MDNKhzfi2YLQVKN4Bh0hTwp+kFSI0GGVInqNlnCnhFDMWtXIEf5MQxezbZk1d/VMws/fRLgbzOAa9NeEB3o72lwud54lrmU1B1xQYwgDnrsvl6WAH39c2AXRZ6B9IVps+jyAYJuAl/4myO5cjb2kIoEal1dH97AvdVaOewTm/noD1wG3HJvJYz+wAcaBSQcwqXDEmwSIXaB2CsLwZ8F/DQVwWxBvvcYTZzKoomwBzAd/w32I9vIihsIBePKsQ3+LvXmXlOXUmOzvYioH5WK7IzR50y6hv/Bq+MgNUCHhS9nAEr5HUXrMr23Qpwx9GRLQ29DTOebnkLmNHMdfh7BXnC+FsD3h8qJy7MfOJ/3+WYfjrIO++Eo3fcb42X8FS5uOCjnqgj75CDrX+6E/UGB/Y3ZHjjVxsBnw5M30Y24rOpZ8Vgb2oX09KG7+RTWjso4JDHiPvrRfuZsRYwoGwT13A5yz2bM+T14B6Bk5zWxFNOfCltbQF3yri1wHPMT18EaeaAe+MbuN0RjTZ8wEaT4gfDexRiNj7Uu2r9cGn3q6nLgRNmSY5y1s/CeD2LiKeAKW+nVT/gj1bicGXDck04uj515x5bX4WL8Ze2GGDsWkwPqPNpHRit2YNF12ChVD8Au3lkJXbpbF95Y0zdKTGYDjNA4Vy9wbMAhuHABcic9dyS4WLOwJcyWJCZySJj6zeAORLgL6k9YdjnFh+8r2RVl4ThfTZMZ+BOE4N4SzuSQl1/zZuHxk+t4OibU9wWg9pwa96dd9tz87lNTbdhMkA+HXleum0Cz7Ohn98batxNHeDJwJXP3NwbxYuif2/SOthGX49AjJ7Rx50P39dz/pqtmNnJTjaStdk58hNszRHg8CWLguvpMWfCzDWtBw84pyf5k6+8Vyshyg2AKxHAC6ZHnC98DO7Ge73R7SnJof5o6TDjf8WNJuFv3uDUPphz4/em+3iQwVrgMxFwga+CMSvhfouRP0Kd/ymDdD2txH96lu+1nTiHNdsHFjz/SJGvqzUGzKp72F9CdKZncXo3fuKmnv+e6VF0EiLZlLDqScAW4KGpDKdFAi4555Mwd6s1O3gy7O8y8PDJJu/NmNjM6A5/buVpRUPVbzM8Tsbb4KlJCSh8VtnWObkJ5OJfHekjH7iGfG2dxWVzcnnf7PlXOeIJarVvtBRr0duQC7uKfdxLwB4NvEvATucGBTbtp1NDD3fS90sxxp+l5lnlsrXIp/ci1zkPdVbar/uUGZU2bysK+7nD7QnqTpG3NtT7G+llLHr8Znr9AdsfqlHnssPwzuXZnGPXufomgfZMT1phpXbFcN4M/apyeZGCpJDPgir7szn9r8/8KCNyTlc/pQj3Rq+j5nIPfHgHmB7Vj+2pGjDG/fIgjvGy0qYO92XHgMvFX80Yu4nAHHMyCxRPxJ08wQOrHPTMNb6zPBbcfXk8fdtHG8JlRQXgRr/ZtxvF7E2Vo7IMbeBk7ahsksjeK7PosDaa3NPBMt6H99r4N9i+n2qcMB1YgLVvJfACYs2Xhm2vGPU3M38N2OSlBfdudNuzQGtz4SNtILgrYg2t3cyZncr0xlhyqh38Rdx2LITdSnaHWjIDD7fvFWBLDPuCMmb6D9Ys6Dc4V7dSbIMzQhPUFeMn96rLXkJTy/iJlgOKUsfoghq/UPuWOPacBDMD7DZx69suucqM/0rCbDfLCdTbywYP/A3+Ce/KjvG+7cshXaGabOC3f8K7pIXjbc7o1xfmLes31zpQVuoSkTm2gJgzVHDmkSaMT5c6j4s6mOPK2VzVMJmzIvjdkKfy+gY8KCIDORW9Z37Lkoj+0QzBFbsTFozAjgTch9SLw4oSxUbjk0HN9IzfbDHirnQxp8DRkuGyckAdNPK1GIwmtXeoh+8NxOrV+EhQW2c12+6wTSaI569E85PIATMP8g2wxRlqGsl6/cLYeRPOn8Xo56nd2w1qyzrwaO0sJ8A558wyDYX1NXW8INvHn4ApTKx+NqzfVEH8RYBLClHfOcJX7ui3km1dqO+7lLez5FCvkYqKFdHXORvJZaw6H9bRTvmw7PH+r1UC50tY22bBbHpz0prjue4vCzMdNaGnExe3Zgaz6CEn7qHGUjUAkvYKxl2CYjPO0pFhWTgtNmXevmoKaoCDUOtikX7mmdXbrGtRhfQpA95bsfkGe5hRG38C/rnxAbi/BVHpeMcsRICvpAd8E56R3wt+sCoxO2eG73RY2iZYAA+3muT9+uoJbHibAC7ZyLBw6B4ngMGJeT+wlpvK0itza1fxeKLDHGY0MH6CZu+ez9HTu/3SUNMPQo6UppDb2yOhKBaBrUskv1XIk6ZrX2fLfhbC2kYoBIy6Yb00RyUQKxdbALapHOsOuS0pGLmk1H/jqDZ3ZHfeY4gTBOt2uWdIPVQ/ASYg5l1+C+DDEFep0Sw95zLj/a/fTdEwz3geX5UFccwRr4IZMv72G1htd7Lrq+zxpujjeybIHfY2LlcdQ13PGuDfzeBpJpSgTJ4gt3MuZgQ1OpYM1oYZbD/vePQ7r2cdbXJNe7byCJ3lGDO2j394X7gJN3r0qIT4ujKbe8ya3ksqv2o+3bk1fSZ5jI52uimjlhivpUrLU4XYgw5eCXiohPV7JCH/OkGde/WYwft+iN32KxH2d8lryBdQSWCNgUuZ/XPMKCEi2Hqp27Km12/Ssn2eA6615bfY84RzmVVBbTx1NgSwMnBveFfq1CC8a/r2iwj8Pz/fPQ7p+PdGHQXvhhPmbEO5294q0c4kV/N5D3Uk21qVZS8iVKkKbVIH203NcAK47M7H+ADrtSHOdpOF00Y95rTMjVbt5i5QC9hDv+5GO8ANfm374rybCdlDDg5bG/coAWzelrpwmkG/F+6HBXw7hLpnQ3x+V1GbQb3OTCwVHaHnnNywvjiAx55334IDlwKcoobDQt30hec3VJD89PizmLlgusYRiSbdhLGNR36rIz+XHC2G11eungtIsdlIzsTuF2IpqKWxxUf/uwKeAznKgd+Z1iYig8ItAKeTHMpH7r/ON9YzcH1udK4tpetO3qqov0qOPTZqScP2lu2NPmXrF87H49lr3XNpzhJpR64qRwwwaEJZK9IBwGIA2N7kaxbLNNdfVYeYCNtXf68nItTDs97P5i5E9Otx1W9QC5J0jW0hbC07FZJR+glvOzq239LivgiJmfsGHopteM8+Y9MkGdRoC6ASKx7MaF/881xwasdGv7jXIrA/pjfgkiQ13nVDSyQC/rxqC/j5oQyV6TcvEmu71lbcPvd6gGFpIWdy3InP7aoGm9VQw6rITN7o0ngxitH0KtibRPuvmmI0+vizpuyLe+FOAY3aKRXGk+vuqmD6AZ5ZEKEpC4KborEPeOnO2beVhMvMIh8TG3mVIICB8b4JiGAsJqQHntzLdxHFAMH9F2ZLlMD46AIOdY0HlJIiIN+NaPPaRiMDnKwG7UrLexNaHiAuesgLd4oAR+5jO9nHRiPzUuZxXIfayfR0TuEzjKcrrMkXC75tHszf/+MpXgaFGHLZX7feE5HmiXOGHE7C7fnM0uVkt2+Zo6nKoV527TfN5Q8b230WJre60wfDS4UgazLA/svbKM1b1+AXqE9M8NYpuvpXM60wegErMVoRXZn3Lo3UXlrzKWV4TGn79GmR4d30awXSwV01fmzgt0JZht8t0FCztsCdWuiarrWQZs6KlAgdSquwYW2MfuXLj+MB2HGS/ODCc8smJ3M9/AEeu11KIc80J7Iy+rOIL1CjvmG9MBvRGZjtFfJfAHn7jgHLsCi5G10kErSW8QdhgeqSwXpkkX8t3fh1BusVg8xgj0kslm+IX14L2+WW4YaXDeRuwHf4BOvsUkDDMmoPjSgetau90uwG9++jDNDcZLOdhTEpmfEs4jeuzX5s31JmAzmRr17Hc5rjUnHpVlRd+Kt+iYO5d7s9Z9Tt4paIyyqH7afK27Ww1FfJgdMaLYs+cCvA7cUav5OOF5TrlQbfTpnzbwwcrB4h2/PiNRfwpgBfCpY6sn9qZi18QA/z24wOAtRriD+dcmeBvV0vuEuctEs9zH2WBLDG9O9DRvKzWnUIfPoAsRqTkdmyl1fi9MYzPJcQy6+epaP9Adxjxk3YAt6ILTMXQoI/S8OmsY6A34t4wzkyOvEoWf1jMuq3WgDGzJ/niQgz01dqtI4ODwm/mwcacjYZMdsSo/OQdr8eao4KyIOEOCU5yQ2mbYZpACx0Jdp3Mgv7yjpcS2sLfBpictBX41UK2OqdAWeokKTpEzNMDGJlR0LvRgabQy0TCWphbf0I1uh1vhE3HFPAPvDZcqADhrghO8NTDL5g3cd6DqW5Z8zTte0Y1H8mJCO9/Z4gJSo0xUJsJ4hNzAb7p7KVSDX5Llx1kYDvgeOYnodfLdOTHQBeUjszr3umiddEiQN4a6Yr1CdXGV3lW5n7F+r+XRhwiNTGQvTqLkLLyeB7aqZvYh+/U6SO2bCcZBdcy05/1067YDc+mxr0Oluuho1jtDRYHjwyG2c8sPMyVzmx9WfqartyfRdbqgfuFtdCp9TBmIcceDMZCTL3KO0JMNyxDOa1dPhOWWiWtqKJNTN4Lue8295fZ5XMgRwzyENqYe8MqJaPxjlVzmT026xrjc5SYfYbtwDjBuRAhdzVgKeZ5UU8B07XI7syukPA7zN7+k4se2XOAXJGbZdi2XPHfp3pSZPPagF5yfFCFspL6hAO3JISly9YTFEq/vGOQkxdafRoHH1SnTY+tx2lJGmCFrgkylMzSwfAvh4llBW0ntzJ8ImpRPjF9bJCIJbaHGozx8L0DrL5H/+yTb/aXJJw4RmsooyMvfu0o50eCEtX3sc06ScpxcThd/DMMf2907Vk8bXs5x/gFuHJTRaoba/9BdxenQR/+gK0CYo3J0t6ck/ujBnfS4Pn1bsIMYZav5c2rK6FVuA6wOn8AeL5HfM4rNiUlha6JsCNqLWFPdtuqOOZM5YN7/SL64Xkie++r2c2x4BbPeDfabP3MzaQBHc14DBFyjXZ1G6bJkF7bvL2nQOXyaDCAQa4FRY5NUItootv3NmeaB7/1BZgYcs2vWgXxeRrf4nk8W2TII6PrkzqnjlF/307OuTAej0k2Xw4R9xTrP1UgVrOYfEoHzNwc5RDHdgV/f2eiikoLc/EOESfNDP2CeCPuFyhJvfevUT8tYbvYsBv2VPfWO8MviSAR7mwj6KXRnfpJxH4mwMfh1znm95w6agLvEebuJMto6mrw/nrzEwfX+qpFfgFbRFgvLiytZkHM37er5oyUPaxHq35CNj7rYL1EcOCU0ufGAP8C3yuchHEysaD93GrAFufI3YtRADRYs5Q1a0xeqzAAUrUninju+IxTwmSHjzPUtpol7Jf7w+XDZurEHPEuH+u9k9vl0gMxK7dgwO84pgK+ytB6MICHDKmIJ8q3nQyq/dxDByshHd8r0Ryq3qoo1ADSgcXZYdnLr4fsMYbsspfjww5mDsk5SoXEcVs4PgaaqO+SOPB6tiUBtvuX1wtk5kfIy5q2eizcuWu2vuUuQdb2bJIO78nHOjQ0ML/E8PHKAFYK0zG3zPz3HAxHumOiDallK8niyPIVQUg0IvS5AT105VIv2Xh4p6s+0LFRIGXOInbr4zKjfFpqnPY/yJ+U5bmMi9uTR6nkKd2ddSGNJj+57ng6KKhagLMawOuhu+WBPDtqMT2HQv+VkPsMGf5hqdYS5RsjK8dVFqX5vVaanVPwg8buNuFdbEvEDpnxpPK1j5wwKlkRnuzfc0GhsXn1gWeanrFjR5sK4at4Xax0fCQrg7YHk2nFd+TqHa45qeS+lA3VZiJ+QvyOMaDqQNA/lECKAslae8Bh5WFsn3TN9DTKO5e95Xc9e8Vi7vCRoBs0I2z2sYB5Nc8Do1GaSLmlYz8TXW1B3k3yD6/LWzrPXHbRIyQg8I4hzz8DrFelMw+JgG3mlHP2dp+l87sq+iXE53YgApzRwB74UbceIOpjrHtW4BxHOCUPuT/76xHY2rucHv4bt7GzAJewGNA4vzRDOSc7NuvZpAB4J0TbIFQiPZAAjtI17+mP+2FD1tsI5+tvjmnOiobbZpehSL3Q0CF92SEPcL5vcxlDPtgz8OLxS3gwg5BylZhIlJbUkWyYXZLy2hLecBg4oAF1kYw4gv4YqM5+uLmxm+jcJ7930kVYQT1JSeBFyeBlpXTO0ozpxp5VwYftjQawMDxq04WPJe4XvkPBDdr6MedBsDj+nmS8P3EAnwTAAcSW/PndcdRZEKlkkI+7oFJujohzDsxBwluByu2Ys5hL4qBZ2KY5iQqrkl/t9Xw58pYsZyDGDbY9mJqacPa2zmYxuo5T62vlen36OC/CfvlTwTcUfu8TzzWzzujQ5EOEFsUnwGXrcD9oQ5B/LJiY3wda+YxqGMWHWYgjPjQ7IFXhMrDiM9iL1eVQ9HoVVv380YhDfy63pwc+xWHdxFg+K4ZSwTvOptHZcdr8vnH6KSRVPv7k9ViwCpLieID6bdJOcxDDTmCAdpodBs1I+QR4JbP5wCso/oeYnO5Nb0dcFM7efI6n3+ULvNECBymjycB+K6BukpDxY5r+ihWVcgQ3ysEvDsniwjmrsn56Rz534CJv4A3/ZQ970g4ISpqm9sylFofqNOmJ+fPCv+eq0D+9oqcI/lDe717nvmEbQRrkhc51pnxPArtG7fxj9A4Af4XNNpvgWt8cmsqgfX5jOsL4L3ZaN9nAabwW7tqJT/MxX4TxIALLLuJ+GvenMlgs0ly1GcD53jYnmTPE8Fio0a+qZ1YpM5WGA+fkiLA/hOHf99UnDnH1X9X42TuzDbNHgsZtjuj980Y8tTnNgDOZpeuekvy3/6oizmn4OwD4sWs9581caaemfsBVphzTaPFeSd2f8uQfFe2mb+DXLVHCPb2gTGyAmYeRQRxHBiNVeBjA9CrTuOqJw+c+5GKplddjoDPf0K+IcAbimYo7H9nYfjAR3KhRrtjLwPIcVi506r05Vp3PK0iCXhMwTrghDsQ8XsEtaV/iDBOEoqB/k8n2Ie4drbvKcTOC0dVAvX/8XYkjJ7ZGHiQix/ZsL3JsbgCTjplA/nkK7qUHdnVWu2bEHJaoM/Au/YZ8BG8m8/lEJ+BXxWANwh+asF8LJDD3rBAr/3lyz2GugfvkR4gdylaodZM7KZU+496NwNmONzPodFfMr0LeIP7toSaFUNtDcoouPHPb+PRdZYDnqHmkbQjlzJQu0SQkufYOzqX1xnsFTvaLmk8F3kbQm7RXCxJ0cUoc8lUBYFtsAzg6F2azYStyAe8uDO6ZiW/PCRrdd3F7/ixNXwmLZlOswHjdCzugI3TCjj0OdSvM4cNvPNeBsUd3iWi1E/qjuwBcz3qgR+x1ULGJT/lYAM2TB44ap86oMCf3xJutH34DPFzNbFRDm2UUgL7fSHAwRjOsdV0wR2z+Nf3tsgDu4LfWYXzBFgBpwNgT4ge7iJ2clvddB8WcLcpgZopn3oBMXARD/AjL2quCsDdQJ9jBnj2zhkmtfXnXmj+xoPJ8PqxZOilL8pUv00zyDHAHT9LMzfbScN753KVn9ljaz7vJvLpDeKXKxQ/cTLkqhyLJRIcswRiOgsAP3H/fubkwYe4TEaylOyPx/ZcpwK9cC83vpUKYsP4zGVjG8E+SaloC/jMCw8XcxYb4z354uG8oRb+P6q+rbtRXen2L3ExGe3HJkZgbEQQuoDeAHmEgMDEJjbm15+Sezn7O0977SRtsFSXOaWqWXFu4ng4ZcpaxAkRo9qzASxkzs/eufDkSeuKcM7Z2Ba5bfg3e2lHGH+JAHPt6fufTTPcjQ5nWrt7C77/uRy2Nnw/sF98pHbvNoDxFZcecbA+hfhLBHcHr34PHPe9DrbmLjyBvOoCp1gg3y51iHzY31fc2Bn9jszycLKLezXEtxQ4Cw7lenCzx9GRVTUYtWE1HKzS9A1cs35K00BfJdrfaWjPVBjuIzkpMAMcsJrZDtQhVQ253+jF/e98/mpjrgfxNZ+TweiGobM5Ewc/7Uk4z4AZ4sr1D3WnDykiVd6D73fyw5zn5kxXVbC9H+z4znpvzx3vUe10cULxD+QwKaP9kgn9XbPtS1/0G3w+r/I5YO7ZUYB5SddaNZ9y4Mm3epg+KI83RhMGm2cGwFm4uvDCf9RdG1TBxj0N6gNw9uMEFBqyByaB6XVBFbee56IhtX/xocchPwLW+YYc+0Hg25h5eietWr7DPfi+XffbtOrKm+o3d9UvCP7tAbjqTDS6kRFZvEC6Aaz31KLv2o9657O85z+USg1r0orxV3++JSiA74FMDdkbs1UGOWqT6/aCdxyTVX8A/yrqMOYlLx0sEsBRGJ5RXiB1OSwKHOZOM7zv16nfmnm/P3xIVuxAxFrRh9qhjP6vn0iSSF9zo+1io6q2Fhds4czR86zJYRDHa+ZVNXAfw6nM2TkZVQyY/Aj24yS70mjgfSWPrcYiu6SA9FLgMhh4bq1byh10b3b+qxfGz7W2MpY4B8usg6yEmN7yCHHYv0V8/QE//se/gHOMOJ/N3KGUFIARA3uDtR8JiiKzZocVZfWKDk3ooaoDND7sF8AjB1a0wW9tD5oio3vJir/342p67LGo9HkDufOHWLNgxRRg5H/j0I4Y7O1J8A8yQMxf2x9uK7+x+ntplw/AIrHRfIT86R1t/y0HjMh6Zp53fNk8D4w2MaBuZs5ltmESkLIJlkdmPc9pjnkRexCbSA3cH2LmRvXAxcTeVd1fM7vULsfAZV2yoWusKU9uJ+BAjZ4eGCGercnjuPq33zW0TD85Nu95NjYk+v2FBuidFXuvtKck4/tLHZwvYqevwM3MfO5MAWY4WssDu+U96cpVCh6RvoS9jq+lUHZutD9GHAI/mkn+27v0Bj7+BjnlAXu5/MdZ2YlrxjvAvuC7rNcC59uDEiopxXJJkd4A/4IcYtuiM/NO4zDjsaltfjdzLNRO92IXmLnlhi+fK8Z/dQKBB+Bmhz4oyxw6op8kxEcSbNaMfrqncTKzE0e1qjdp9GpC3Zl6KNOblgRIJxqzevy0E87Hf7yF2aammwijXWHdS6BxZS9fvLIiIfqC2OBSy+bM+nNrzKwyl8OnTDgZ2gJwNqURxNfur80ciIOBvuERv5HgvKpIEhzifa2ns9FtaKIMsJPu6h4wFfcX6bDV2PHrzCHn0zXTgB16vuEMmTkcG8m2j7xDODczaVwknvqcYmYnY+Ow/kkv77lYkFyRuXt68sra1RCV8A9lmzusz1B2KqdBiyX/PbeJZHF2ILaY2bgUcsMRuM5TZxOwWgX82eZFv3BnwWJ4zh/NmsCecy0RY/a7hHXKkeohDqX5sHyonu9PBdnXnDsZxIGqwESx+6suxfhfJFd2b7TcVPD+Zi6W4u3GaFsCv6tM7qOFfwUsArGctPB3xzywn/cllMZpZfjoMNuQJ02P4h3WM2RfgIM0rnLArWmEixfXy4WZDUi6OlzadKdDxhKII9NSF0aHaO8BzzOzcyDGq69E8C/s2F+NLb8rU9MAyDozugy07YHbSsYRw11rsNFU7eRbA3YB+O11BvsDzzG1g2lOTd2buXtuLiducB4uSY+vxGiNUlRklgac1O7rwPOyQVY8RGcuJt9oEZm7ba4BjyNFpHO+s2DOG9ffVJ28QKx81UdtgHPdIXfaOIovSmzuJ6aOufAYH/4sEC+u9IkLyRUwbQo4krFx2lej+sAUcpBYPMBMiDmmD1G2inMv0cqjwZyBbVS5JeXRVa+4AUjI+++O9pl/EnO+BDn+w/SdVAHw4Xz7Bfu7Hix9BPzh5oL0pteMhjhmEJsrM+Ow+Ls0RXADvmGD/wo2yJ+60HZu9Y4I+9cdxyUt4jfAeA/aT/cmhD23FmpyPB76DS/0Odd4zp2nzReAOzcqmN6Bg6WMLffGkTQFuyFWsLJAxUfr0wFf/Kht6UtnmlmAMbHj191NpRzZ03D5OLH7RX7NRqdWAuZ91HZsdOGmhhInKdrRzDXJCuJnZg6qRr4qpuS4auv4+POgA7ZPTzvNHIHiYwU41twPAV/9YDv14stLApylCm2ImYCp+9bchyUZYLK6Q6ZmIiUUmX27nXj2qFbiNJGZ4xebu2xSDdPe+G7JCCkFcFJTjxTpmQ/koGzykYy+0ZJ53VemIohX8H9TXwe+Dv5i6bgyZwoR+EcxmZ63sv7afkvAuRxNWr7PVjlC/tg1t8bWi/ynZzNJjXjtKkZdBj70T0+WIOB173P3yim0DxZqnR8Zl22Fnhj5ABxtQ92/RvsEAx/ZgC8tPPiHi55n0YPmVeB95JRUxocEkxfuTDZ1mxVHOJdmHkDgjXXUbyA2vmpFnNT4jOVda5sfK61+lFZn4Gvgp15GB8CobmywIsSkZQd5ayFjZlXDltfM6Jq3l7KPW4X4d6UnUvUTzoq2S/KZ1wPxaBG4dT+9+pdhrc35sHepHNwlA5bl13YvinifGf3iwLqbuwQGiaCydZEW8htwwqHaJUveNzcSTgEtkJ337CLCze3otM4pkALwboCF0XhAZWb99sP25doytkOHHHYN/N5o6Yzls2cY5YAfHFYo/98ZA3Bco0nHtE1DT9bUl2mhAW89Z0BNrPCnmhNPDu1OhsuteXL9bZl0r5qlmdbFtG/CzK4hv5duewPMFctQX/IA9TUiR+Jyqyy0qdFrk91+wZ2ZfaZ7yIljivwZkGCWW9PlhPSQD1fvBOsirfaoEGprxGXVz68zPQy5AFNm7mLji8kZlWXbyokpX7ObmcGhLCQhDm8ITxxsEYAWk2iYl8IeHzKd3FVRLjXjLuBydHQm0oj59l8ccnLLhrj5OzPIzOXWTYjzk/kOGrnm7O8UyQ+ebyMW+ZuTUAzyaEXeZyd5n+2GKgb+RJXdfqR82uNVAn6Ef9OTotRkxx0OsWGemW20XJRXrv7rXPQHcO0EfMqqR2xUPRwaxOd6hTDJzNnIwmtn2dUODppgRkST+TQCfR+10eMKKPIj2M+I9TIkBcTBPnne6acCB09dNGubN2HyO7vqFOC5tjBwyuYCvmeqr4F/Kz93n/esBkcI5kwU3rmFd70Txz7iHYag+bkxGhOii21itHWcSTcrsfOVJ3WBJPBhoznqyOCVK+cNd2ZY1PZI0PQAfvuRMeRSJzP1ZCFx9T7vp/Vgf14SBrkbGY6jzDziMhP4+9RfF2ZrH9Z25mJ7xghvSLgcUuERRTnEc42pWF5rWFLAPiTEWFnbINn1tuyJK63lInvecu33wN0fkLvesSampt2WHbaxtfWATwb4C/h3sF3ABu7C4LkCcKXpX6Z/TZwxMwHODZp+726qorGSlTt1xDEXwKdGlAIeD8n7H3OvUEoqfbCTlIX/ziIbdt6cBnj/SANrXdyUa5qGk2ewbMrJsUHg9+vfW9Jhq2QcYlRg/eJD8APO8QicLWRufMuNnzjbB+RnZsYB51/bFPfnhwy3ReX8exewtZu0vDjfcTvn7TesM2ssb+JC7+C5b3XfttgmkHiVq9b27RWjyPjX4uxsZbBGlcFDdrDJIz8DPtnD54alZbsntvdgLafaVhNG8bl0bKOd7wHvO4L1byTwGmzm6jDLMvNbwNYmwMljZvQAw+Vlh2vT7b0K+G2z0/t61bba+R8QZ87pTtnAsTosPHDsvdmXWehpUzO9qSL9lvXeDq/xAzg9gLrM4z06VGECXJN8ZcN0JpBnEoazzNq+em/B31ueuWb+X7mBmLaoXWzy0XfuJE4zzDvax33m+oAun7UJG24t7zLwIH7jiDpsacz8ZcCKPLQrwDZLTQOwEzTIrvHgub107N8+31zYDxL5uUSogH1tOYq/MjOXguKvZOBtFeAfsLOlHq6PzJ5CwIZTGsZuHd7tsm8jas3fnM0QfaYccNb54GY2Zu0P/VfnnMF6fb/uzTML+IyY381ZJcTDa/6YKxFA3ufSFsMVbACds37rNF3p8SjwJG8/ki670a7NucCQF+SoLOUmugfcMcmTOY/utXUanrjsvVr9+MUrVW/f5dpGGceLwZQpkyNl04B3Pi9tQhrKr5TFM8S1oFo1kZDTmuHupBw/1EBE3VvuSUyAtdWmQYndwPeCdfkAXFHUTnuG/PVb52BmqedGc0THWkX6CHEdwfsekmA7cWaTxI574Gd+DTErs1AH+AZwdQL8Wq+1NdvYBYbdLw+6tgMpWuBzeA8cfpbj+ZFzfWjG3xmgt2TEbeJynI/tUO/aoB7sXckBi1ttkezIWwo/ywCv5r1KJW0h3mkf4s83cIpFAFRRA/ADIX/kmDwSJ7Ew+nTq4M+jBO7NATOZ/PrfsxbgTLKKJs/U83ILco+YjmX3eTn18aEumg0t4jSNVJDRuK/sCVePeQCOdEmM/doacpCpwZx84DIWC5cRsEYrTE9FOB+BK4318BsPOR68orGxR8P4IYMF3pGYmUQ24D+GB/JOC+7l9lRB/H5L1rbKhu0o9KclYb/yzp9IYKe1PV1zNld1sL2b+2fZ8Rb2+9iE5FlL8t+znv996kgKGKaQmmdYt4wCJpdOYHSGOGCOg/ianVr3drrzR9zF8wlwSYKmhGi9UtQsRkcB6ymqAVeZnsy6a/ecxRku8P+Nh3fSmbOeeIHYBcAYHYCnWQ2Sm2Ynf5jt7xOrtCTT5hw8PdFWC3MWptk9Rfgtoe2xXHWUhGSfU/8uHbXLg7ivd9zc55anQR6ScH5hm4ByfxT9RE9cPWrg/uC/nCKEMwp4w9aA99QGciZudlymEC+Ojsqe9SXmDp6BvbnBLbf/3hpnc0ui8/OuFHCkm+bzT+WWVhLy33kcgCXWdIdTObLlNGwv2aAjBjGXAV9sXA241q6o2Npq1bGiShKhDtX7nweB/eJrDDZq5ou1Nt2hkVvyUnNcUHOvNYDBr0YzZXrVi7JkVbsKeFQy7Nd6LO3T1zyDvU95uIcY8ffBVonTwCbZGmyUs7UrgaqEmb4GfixHc0ccm3NtITr/m2u9ydiSNBpvaLC9CdE6vPv15QL8x6WR9A+r3pM1PvJgfz8JfsHRp/usVxLtBNj+XvFJirH1JUX3U3h2nnU9BbqyAgXK1kGmdUx2EON2pGRaRoBpp9MQ32uEXlxPYrGdGY93rGiJ4jjN7NJmgQ5lCPkTkTiz/Y+s53HOnjndUVSz0vEE2EOZ8N/zetGMvp2z68XoHQGGdxsn844QUxSVv3NG+IqPzfDHTb7mA/DwD0qBbAtsAQ95bwbw6Q74f6dXyIUXw5lVZ+bgyUMTxB8VeuYzT3CyyJ0/qzXeHx7blXzN1GhbJKPeszB+3UlFTYc/IO528C4bMy9TUOBn4KOQ00fetxxyi6wDkw/lbPAt4HlTdzGangPmxExA7M9DcEhKfox2MdiXmQlX0uCPjXckBHzx2i9fWWZv530DeeO4yvL42D5kJ8NmFxuOHgO+0RDvrszxvhMud8DRd0Z/TUXxFXd6gudLGZCbROSCwZbKkXtMT0stNibvxmmEX2dEPVlRVbs8IwEes45HtdFBesxn8HEMeQNDTjb6mF/ycXXUSkbF/lyaYOseHrNIxrOFXbIm4n6r2eft1E8QQSAP7XCWhto3uk2qz37nBSRdG5wKdcs7U6sdA8ae31h+dUw1iBTepRQS1qut8jH+Bi7RQY4x86qpNPp7/YxPPcrKleSK+oVc/Q8SJa4oJh/2IjxpfzYTTF7cgQWL0U2yKWsLxv5skkL/GJ3aqjM9Jm1ErOlO7bNTh7M2dYaYGe0yy+ZhbAHX/IJ1sf7pqiqCDSaIfODVftXYmcscfaS0fcVDF5s+xnCRWa/jxm7vgBbMfI2yLvC1Ae4EecvMjVsgXuWZubPtOQfM8QNY8FiyBPCVBr5gzkC2pg7lVo2tkDxwE4a+lRP8f3eIB6d3TqP8SnrvQQbultr/NrOzD87WzQa28uBuVcCPcnP2DJgCbCJKOVpqyzDnZw0a4CHuK8djBGwSsKNXwVY9dae0NHP41v/lZZlUtO0aZzkwgb2yJ4PQxDQ1G50b5+DKx9H6Y3r/PKLxO4X3r1fkKQa40UWQU3kP2Pkb+HvYFCSHz2+x4N+A+3ZmNqjRb3pxIurqq+y3Nhm1qYk9ZAMHO/IBnzMP8kQuw2wxsiGn3vNYsV9PkVoy1r6fIsCsO3YzWv7NAHFUt31pT0HGITeMCjcU+LY4W4LFLwygDzZ/Ezvu1c++m8BOnDnOTd32jm3ArtxmnMbE5rnoCeA0zpqd+hG9umau7gnvL6cQs8zoFgkPYqqMzHeuViUqYbenEN0a/VuP7Soz93MX79XQIsAD7nFN3JRqlITAiwuyUcMecF/vyYibGkOnWf2xHCdMrUUyhsCPttVJSzOH5MEsSZVGd+DLh9JR31U/oXL0Xza/Ai8zs9E3eJQ57jCtQuBJPUJNcL+d3uf3vCc/1ObxaUBffECAo1QiijiSDvD4Yf5RfG8dLEWz3g5Sdt0wwE+ASbvE4YMcSH9wNr92eDJzef7rnZAawXr7+3yN34WpPeboAuv5JsT5Dv6VC4au0lLfTPOFONOcOGbW67KrHE0SZGq4N3fYzzsXPOX2U4/vec76qsWqQrSBmHOE3LFJonZfP7Y57fvF1I3Va3LPIW8DhrpktgyURY6YthuwG4tp9MhW7QguK+Dz8XEtl5QBjNXkp458wFTkxXte+cvPRvxFHlta9fZMVvnINDrAmq7SJgxiAWD19u1gTxvuBnfDVaiVWSLC99xWhdGAAXxxzPVkk2G+wRpgWLPl1OEhDe8bFd5dtdu/zsxzzCcTH7zGmXfPe8jhbrQtc8rwzFzIt4yYeQ424KhdbaFbHumdmU9aWnxHembO9b7Kr60HPBuzHUQd+DzK45FylUG8Xrj7O3PBPjyu3mFVgGnUzsz/4f1iavcdbk863wFmGgDHFvFFhMw2J9CwbtRoFNaWejCwkQYBZgx7O3cB477PCHBwwSwS09B+M79Pi/6l6TTX+q/XIMjHq4L4QMyzgXubXuLeNbodkJefWtyKlhc1xs9zg0rHvTQzgnhbnKjvZs70ltttxoC7Av+CVWZ35diLDDgVAr3qUm5HFz2ePQfc34HLU+m2wEt64F+9B144poHy+aD3VRTn2NnKZli+j485PloygFhxK8feNrVbzNasEeTSuO1H7sTE5H8axZPc8RcGQKdgycBnjklBOlPxg93pvWSEmUqxfPC6xNLmDPyaO/OhYUryMbGqEaeG91PLA54Zz0wALnDx+4lxVltAK90pOyHfTyP/8L8a6esdeMnCej5TZ8awRvfS4Il/9z5X8MU0N3OmC5xLTbKs0z/JGCwQf4QYpkjwqWBrY5eW/X3q4hu2ygcf7P3Bbj26krcqwl98bV93vmUm2EJt2bNhQQebbE6B/Dnt2sHo9SWAFYDHVc+5PKM+5hQz5jT2iUJc7nkLuOKt1oGTmzp5w0s5PtfAS0u2fVRiC/krXhMWvzCbB3noW0R+B366JwO5Jv28OTHPxFdzN72a/oJKLAPtlx+uze0K+gb8lNVomvPCX2G9HqWrbdZfvdRMvoiIq+xnL02Yu76J+a96gEkyW55oYFNL73HIZylkzALb3PuYu7UYrHAn+hje08aAL82dUgHrbQEnu5ieIDa0sgmvroyAMzGjvcBpXugRU4JNB8dh/e0pLusQMLfIVmwFsN5nT+ZzfjI67bvPDQF7Z+9/LoAvGXZkjymggBWbKVYd8FGzZrA/KHn2dPHWqp81GVMHPpTxEZue6LV0mt9ZY7j3zmz032Cdo9PY5hB7zk/NILN/Jm5AbAUfsJs1WyuH3cRODiwwPci2p8IrcFG7UlotZeGHNeB+4Bxrw7yh6dv3NJTd8fHnFXszNsZzDty2WdsJ1j6vAAuKgkeniH9xy0M5M/eX2j1aCmUr98vh7ggmCafA5oaFEkT62pJ+berbOrRjUWMDz9DMsTfAh/0j5NvXWSXkdus5346jsdI4zW1ZEGZqtiEOgb2WhebmDuOJkwBXAWP0hMY2Dmy/6vVau62p532HeIlPjHyTSJe4j+9EaHje0nPW/rzuEJmwjW5ZwnafXjUkK/iwIIFkwB041/FQBfY5Z/0CPzc6djOh8udZ44T4I2H8Spx5BTvYcRf8pMORss/Ac1QBnPojW2VSF+SFbQATaDPjQbBeuWCSFdg7zhn6qQfvAHaJEsTzajTzb/ZONqK0ichaDpbDrO1B7lqej35UC7vEkbylCPmNy700IG+wh1UaBYBZX2dfs9FeLE/gr+q/PjU88B8zc5OKeRIduUu2/Kjh6oKNl4BTNmA/HXDyMnFMjtT3ZFQHHpR3VvgbWUwFWOo75IigiiCZDXYLXPylP7/DnXRqMYFNzV91CDzIIQdTO9TAu+WW98YFSitnAXCHWDPIL/W+3YENrWnEIRb9fWAnuQlz/8V4V7otr5w/joklgJPbDL6zKuSLOzhJMfUKaLTcxS0NjeaR+iZWsjnl8wMwTWbqLfNAR3UkV9M7DZw2g3iNCc3ukMOTakDPHuPSavPE3rumzqkcmH2CfS4H4OO/M3avKzWaDZbRHzrbFL5juTau0RVhO6KJ+PTgPXBiw3fXWGPmPSrOrLqPp8bZP06h6ZtHpi6CVsPWow5KgKsJEUwUMG+S8jiprPZ1J9Ubfk1MjVaBBWAOM5Ocp2EcZdYUEhtLGc4fCVc3PhpNHX2RdszYSs7AQVoR4OVfjYw2PXcooeS7NvcB5ixSbLWZGwv/+9ovD1tznLzPXrojFqHtuYkQgxjqNgEGJNXf66J5lCJm5eB9CPQXOLMyGkNXSWVVA1M393t89/d2CmV1cGOBv7a01tKpnPgHO/wd8Ogr9h7kO+BWPl1gLc819zeYk0QMgV26vMvFdq1E40hnydVOXjOH+4K1fkoTsFePYA7YNZr2FDi/cklC3clNRVzQ4dNLgsWRHLha5//85pR+u8sZD3jgRachFhX1/TpgwBN6wH5tm+8Cr4a8nEbTnRexSJyzlQZ4f/qaK9O7SMXZSQQwu85gFvmDAZcABj1KB+wWYpm0fnWWAKNsVoixLrcSTwgcyFAWlSAYuOwVrESyjs8q0BbpjY77GfjWhHK3XVUI8WPUfT4YBZf9nZp6YgflPGols+LqFHpfEKcjyHMvXvkNHHs1mja5s1AFuQRw5Azf4Vm/wXeNB79/4xb2alvump53vNBtEy60MafibEsTVq7AZRdYg7HuyRF890z5NNZRi2qmKnj7V73okg16/Hcev78r/WkZfIl3yvR3OJClfsBvE+DBBA/yIxVoQweP5wV2Ffdn7pKdGDSSzvSesDlnzNQmt3EykIvQpdGIuuP+pSN9tVNh5jPNbqYhJ1jLV9PtLR6hkHGjeVduDs6U5xRV4P+XTNg/TQH86Dlb+BPy47P2xCe9dsjYusRC76Z2NGXwN6EGXGRZFXph0euz7l+F1lp9zW/YOd+FUBeKcKwCz8wJfJ03QSzUbTLoS2m3SRrBO6+ZB7HYYj2OKq3mTMjk1KOfg4N2ed9bONiyOohp5di/fb5gJxnAOrfS5zVZzflsv2l2mFSRPuT/8GVAwOPNvW7Sqxtjsq3G8oFDL60BE2a9zCRrv1UfWEZLoiz4o6HqDe/ITXUt5Ojtq/9rKXV5wzy+QmyvknC7A64H2MfE6MmmFKKesxjOIznDI+9niw3Io1TNyS7b1JFeSaFT0+fIehkR4PPwnAeOYsAKGDhfYuoiX/tl9JNsbi2hoPyD220JXLtoiglAMwHeCJzoMbs5mgZ4hqHFj1PgAV/ZOjRAKHPbIrNRnBX8WX+Ig+kBMWNzQpzUAcclx10z2K/edgcDhqvCzcJtsOuOH0rgkWWhykwDJ1/bmNqQ33b8QF0z4+MTOCrbHK0Zm5lKx1XfkscWV0V/AR/F2NoG1Zi4FPxE7ZQG1L43NWWv+nn8+OMq2tyqcX87rnI4WK1Fv/5YzddsM/ieLCwfUsQ/wA06SrlMEW8bZ7mA374LFt/KXplzzFaF3rNPWOzIA3Iy4H9TR/dnqcLfWbQxDxvPUE8WtS4bW6YGxLHTpgdnCSjb2CyE3I3IIsPtnQ4qgvx3BkyVs5CstON502HdBMD6e3bnPO4BS+pcl5vGWiAy+8fajV9neiGz2ivk+1D2y10CrxIdDoXYRozGVA6ml2w5NLak1YoL7Ex2RdV3iqbJ5CsW6QRin3UEjP3vPOoKXFoRXMTvpharBix2Cu0Xr8xNryUb4jYZyVlaPIT8c06CvcuC6a4o4ClEwjzYb6Tu7dqx3zj4wXGNLynb7hr47EbzEbjPRtn+IvWnY2b/CaYE4On8xBbgtfx1x9EBV5CZhb5IYDS7zbyefpNHxPCrRx19biDnAhciB8Imktm8whqwQs8nHuqMdOQb8olt4gaNkJUW/lyzyczP3CvOk7wo3cTRv/cOxG0ZXcsbt5/v/aMEv5NBBbl1dkwtDXCFW6mbB/2aAW9tH3xkK3DBthxlpkawXvfsYjd2IN/tAa+nmfhzS3dKZBA5GIsfistfLYImBNzkbI2yWIxHvzoN03wKuUx2/vUE6wvYHlapfdQ2L5oII8DHHxXitsGCxOZ7wtqDdOK0QfE9G7ZfBE1HwDrgk2eHBU9NtN87etmfLTaige9gRSzyntiJK0IZp+hsZtxfMFeC6PgtR7pM8+1PKrxVhCROIl8o07dV+FW9om8zu71akZfzOM2dSeDeugP2mhumfzUxIIZfIeeFRruDh0uaWB7GfXKnhnf0agU/dczzq85oi+JUGf0a1Cx5bzSEAHu607PXD/A8cDvA/v3EcKQpFzwr+ect+Z+WznfVo5WPZOCW8nH/udIIuE9n5gUoz9QVNc7G/tdjsKWyj3FeTKbv//1Z/9J7l3zQURX5kBPQdCriOzfzTrWsBCptGX4+/qeJcb2nAC1o337xfhvSV/1TcL2Q3oa81CbE3CgX+L22vGOu8VL2idFMhbznmTshT/ZgTys/1D3fmfpY4Fz7BDA7HROvckwe+dXTy3nPLqxoY9irver6TYJaDniS069tysTyDbYwgL04dYCPRjMMmLcLsWE62JlTm5oGDXE3mK4Z8HLOTP0wH2oxR9iBNTDzuaz5dW5ze+rpGw4/Tg/gPEZ38w3e0QJrvps+GchdgK9RBLmmgviyKyFn1MNi5sDbjPuLqcHNdItLp/WMRmIdmJ5wcyc9WSeqNdj3q47oi1B1AD69ORWN3RjtFFtXuOBpbmZaB9womOTGN5toGrmQ99LKHicxTdRtLnnYxpL6FtjW7hTM7NTHMXAiRoF+1uHmUjk9vDN6xV7A+fwj78yd11xka+A0Y1s0YxwnVB4IfA+jyUopuzHI6clOH8pVv9HA/qeD5ZiaSHmGuDgk6O8d+GxqNHMBV2Hgp1hZ6mr0WF5ny/DmF8lQDnE9yiOEgDfT3GmNBkfcjPqYROhDmNpErQlgJ8h9C4Z9NRj2/TToImf6Arn5Df42NLOj+KDnalg+IE62SkuPBa9+vbnACEseyS9i5sGy+QixvDwN5CpociER/4HfJcbGwUaEuZ+hzv2hhgUBN6eqB7zgTsca4aUWSFNzBriiHXDJvGFTCJ8HHJC8zrERjtDV1L81XQnYnW8SG9YxJI5CegEs11JrMf2DHdev81tuw3OSTOtvLKbh+NjmkptcK7+SYn/LHbInLpKqwDm2/QNg1lc/0XvdN/eyR5FyIXf3ZEk5xPAhtk7PHMsDiNVm1vEHN/M+iiniA3dgD0rI2UdK/U45s66Aq53yLWYRiiv26cnh85JxtOQBckQnx1ddSlb8vXNULpXZB4qnDOKRmR3GEbmYfq+TRi1B8k0giD2D/EkE4DXn6plaeQ45A77bLgPuWJq8YvOUUP9OerTwon+IwPSGza/anqzegY+uPuBy4KNIm3mO9+PKu8btAcvIb8VswtDeIny/gK+tUpMqRXuPdsEGeMQ+twkC/G9iAC0tmxyt/g78KDA4FNZol9jkpS+qk8LM6LJumZXdq7G3k96+ql6dSegtsvvcAB94Bx/q8vHTnET9KMiTgAa+1JDcGILc2ntvwMkzyLW4GifTI7E5MfuRW9hW494BHvvKKSl3p698mC/MjhfKzZkD/kkZcxOLf1Hrc6G93ifMS7DpURZTqihi5UiqepRJzsysC/8L/iYVI9mfKHnqrQDO/jJ9icCLdrBOL/961h7QooXPfMb5hUQqVSsecafdOvBGYm2/mh5wf4EfNYX4auER/DysiikF3pAlYvlIENlXOz0YzY2Dy78kO7t5pLvKmi5G1/i/Z5HETS7Y8cy93PfpfdsbrT7Y00Wu8Zsw/UCB1KfBe6cDZFuBlprhd8A+j3zlBcTa3vQYJMGfW+JgnlBeypWXgN3y//LhAnv5v/pepkeMzCyYBeykZaaG9hRgN4mAMwZbw8WSxAZbe8zFqZ87EuoLt6SXAMw1uuKAcf7VNPU8yJz4zeBNsMcwt/EXQ9MBwu9rv1rAP4dSJ249IAC5cZXbaqnX1obY40tnC3btm7uogkIcr2kcm1kR1MHLCfJbEs6p0TUxWifPPqmBfDXcfxi9E2rtN6oAbgFR45W/gD+dxft8LG2jWY/eCPJp3mOjeXxvxP2uBusGXL7EZsaRhboc8B9h+Ec55e1gmz6VaVDh55q/z0IGeJc5Rs9DPrX7GmT291eHc3N0vFTl22vCwYZQm+bgxBDH2tzUG1CflYA/gWN9AH8+NDR7ZBobRRMfB2RlYXsxdSSVIxNM4wdZ/Yfp+6456kztG7UmCTH9Vbccw3pdlJgfeI3P5VBexE7tJPOCeic/KqaDU9dYGcOXOiKiYZtFImnu+8o6ihfga1OzqgBic1bt2gDsn9NgKkpBisRWu2ZFbTbg1znApXKNXpv9XVp/No2tk8TSS240fDnfJwKHnH/abNg+mOMho4luZpNhNncQc2ktDOeFbXYm4K1xWO/2G/HU8kOR5L1L9f5xcF6+fF1Ko1MK/PW0I5gweN9xD3a9lLm1jClVGeBpH3wE1R15NCtOgW+KUszmnnYDfOtNhRqwdBtw576mnDzv8VQ4MR754IM+r8Svdt9MKZqTHntq1RLw/yNZJQCeaYT8keYFBoxlX8BmDkZXjgwxYJ39pnH+eK9+PMJLUzM9JZqcRV8Cd8m8Z92ji6dTsK1O4e/ZV3FigHm/tpMc2jtgyUgGvEoZmjNHmbvpTePGC+SjkVrI9GgNsPfnDGI6Fp45f8JJMZVCm/lMC6/D7ZqLyZyjlangtOr4W7XyX322xI6PdYFa+MyjyR+NZhbEXVxagFIcIkQ4z0cL0SQExueqOWMLKYu4YJz/5J3U9ehrGZ4vtPt7EVH/qLiZfd2beqawtqauHNTLDg9Mo2Om+VLDZ9ZW/Loj9FPICeb5SaRmyElPDS5Y17jkLYJ9camd3VNu6txLC2Jz34T2TXB0IXZbQVx8ZLx3StFK4B2v3lsfktOOOagCPO6LPkbgxzOxJ7AP1B0dmdamV9AC73Tm1HCtDFIHR/gIeWv/tL3BAm7bWo0T35LgfAPO6zHenvEIXBMwHbzbi391qm8X5aob4Ie8GvrLqeObPIjBJgFbrZ83wM+5Crjpc27BXxzqbFu1Q/dmQCH8/4+q3/bVLu5Ogf12tCRm9uciXfyONf5WoTQzml9nKT/VwB40NLVO+sFDZGbCmfM4H0d+BPjunPfKzIJzaSgt6UI8Fu0byeerCiGfrLLnHbsd7ZZLbjSsNewB9029KhmW92YH0cz6rT1IEq0++Bo8gEcXJ44PmfD2rPMHDGgP8Hd3WOOqHuweckSFOTlXqzyLYK4EW4xeVFRq/571y4fQ+r1y7JW6n3bS8RV4TSoKbeUjft3d7CTy73Uw3+qBs4rLj4xPC+9Mr/O/PkTSabCB6ZjDWvPevidsC7HXXrmzvZnZJEL7P3wlPbES00f7dnC0OVn+htwVAe6i3PJ+a/XlcLYTLe3Kmk0+2qgAjWmw/e8O0dSQ+Y+Sxg4ONdC3wBbD2UlDuytt5UkR96ehAYw207IAzgvJqoH4fdJsoW67Hu1Pu7Lb1znbDPiHUe2/YWHjekcCWOHvBAGvDvGbOWMzOtwyJBdqtyFwCr+mJJe2KoDXfhALZzTfbljw55IGRGaOHoyKa8bOjjkzA7vYU/E7++OLr3H6T0ugXalojc5jh1EbAB4mhAWXcmgRH2Gdi6cGNfA7Uhm9XcrRGxvIDXDIDri9mYUxkWCLOJsJLqYLPLdQY5zltP2fxjhtD8rykqzzJ97HEfx9x2z0JgNt9JJn4BNfpZiiGrV54vRe9b7N8deW50LdSBBL8A3OhnhSPDEzoSpz7p2HBCdIUWWrnkbkhaOeM9QyS8cZTZY0QAcMvJTY/KteSQY2F6XB4gPu4jUw2Saciyb4vIgAOHEBYUDHFNY4yDSKIaQMgCOOzYh3gFV+wH+OiWgLNqBXjTTkn6nD7hRKo2fT+d8Z4LCMKaOpvgjKv828QBOrMtef653/Ue325lzASQS/NBxnMlxIg8o7t1qM2ZJmo5+aucyA7z6YxUk5/N7DLrgLHk307Ns9N5YOSqplE0jTZ1JwfraOlpJgN4up7aoHT8Ke5ebeTgUz4ODMK4E9wPdwc0dahMlFWbg9umhztDB/9Tq9bD5b258TxBvR+dea2djU4FI389jAg7KfVtIF9tGZ3kzNbz6qTIl4xRbayF3g1PrTAW4pMhdywDhdwUcm1d+X2rF5E6kCXOSLhL9ruAIbeAPc7VJrzht0vkE89yEmiIb6H43DO/rYambOcXZsUzIvgv38Sjo1HZxtVX4BpnP4DPl5Nn2ubFfe+I74pmaQ9vAji7iC4ZeGyZVpafrW7iczzx04PQlMnyT/ltZ9UxU6oGZ221hualffIB74kDNhb8pFRr7IXX+lEXNPtN1nPZDlUGaKk+U0TF+nsR1OiJQQk193N5g7dlHZ2GhM30qzl9beYsH8JbvmQY3Gfnh2ToAV4W9M3cmV9C0BDPLGozagIexbxC90JcvRetpRauoZiZlh7mLPzM6o2W+9aCvG9kYHPNEQ+IXdfmXazB7e33lARhxsn1q3il1d+j479SoXPPJ/Woz/6iq9RstHQj8twImFDL3qFKkh3+ms6SBYcww84H86SxDr7CS0CR0/H6roHcAMF4L2wFs2d7Iml3xM3MzWq7SnlkMMAu76ATzc1Hec5bAUgk1xMvp504PtM+mqftIy8CD38q9yVD+5g1+88isTgAV7wK+c9LInhoPO1drOJ3F+GL0AuePO4TFz4H1WQ/dWzjx24rJNOTL9sZAD/HsSbMHnYP2s0qke891wCTVqkgefps/qlb+mg723T4NNTlx3B2uepQDeiVQsNIbPkBHw4Cm3YpI76NAEKsqFOZfzvyAPzUrwqArV8ur3okimjLbXGmLoCfJHaS0700f8iocJ2L+yOWpWXyfa96UV70q2HU7D8tSMNHen0pkg1uIDduQb5+pYO5OLbXTJKPk5af8GsROSp074ilIJOSs3WlRcf8C6nnlvvc6Wz1VIAHM3NzWA16/yQwLePQFebb62+1yjskZTQbr4Ru29C/wM1aG2MNghtv2yARDdRGjmPHFE8KwXNfNGIcJJR+6aJXdJKoV65a+SjHtbjs+55ldqqTcK7/7sORCflyTQIbVlkDsqUJb8OEGUZD1HGeytovgjK0rgRNpRHLiR7f+Yc7aEEeDzzDN4+9S3Z+Is/2HR+QNyvGvulHLDnpyNxxDmVdRsZNde82EKU4EhFspr6U4Z6SdTp+fXwhbM3B0Un54YdZmYPiCH28C93o5uDPm4raiQQx20tHbm4eVfBzuw8oC78D6TMLP6BDx7F9uAh86AQ39EMd1lFNvp+9ZpxviN2PoN4gXP18BJRWljrUoR2odmCCzVBZ5An4+0kF/KkcNxbRl+bIffO0QqexFNcWmRm9HmIf18B8z/VbPpqtCnp4bWEeEyVX25iI7dgf9VB1dBzOZWxdSGhfaxhnhvcBYb5J272CUIFWZ+Ee/MDFTy4pXvOQociMnfgPNbwCsa4tMKjyxEAFxHbMOsQJdS4HtVYLChbXtCiOUIgNUKdmFBHu3QXbmAUXv1bfLu0YaoP8glZe0dMDYC7P86Mz8aXCpHnxO6d/NnfQ58vwJXFfgjAXydDao1mtgnig3+++BOY855b2Ts3bzv74kd2FXYVtmqePM//RsO9m7md2FV+G8vrlcNphcSOMJIHoAnCz54Z8GuVoX8txJ4hYhwZOJITklpZkc0zvZo5sSYsw+uNYdYfuU0Hk+ADU/DtkusyWPFX7ce4ghwF3DpX72UHuIVBbuJlIMSoxsrANuZ/hnI+14yAHjutV3v1AU7syWtxmg37Mx7n9gC9kHWkoGPMOMjKOABeF7nd6dIR6ZPJReNRd34lb+Wo9MaPcHLwbl7YMtutep3BngTcJlkBfYSK4Z/j3jGn3czO2kFm0zjteln8LXYpSKOssGD2Jas2agICznw4fZOg2Vj6rcFVa/Y6zEr9tPQ+07c8oERcAPAJNj09pmaJwuicYd+KIu/pYPezTntwdwf7fwR+JYsV84axz6bPn1mT27l6B8z8weevTF6HBl8Bh3xS8fsArn7wEYf3nUKql2LMzceuR0sgGxTSYHduYRCjpKmblmKuS1d38ysZgm8+NFqIS/ERv89NjWn5nysofyp65gP842N3Eojefj9XsLyRNjcZNfbROMLELlDtctuSmw3qmsuFGI7xMM5CfX538x2M8/jr6l/s2mHgwqAK+DeGOJ+XzvqTIftoQn1d26XGwVxE/byZRuBqfPB47TBuzbO4D2SSL4B74Ncgd5OzLPVYH/kNod4rClzjZ0uFQ4TRwZ/7ifh8ZOeErALeMXpcXhsHXOWX3Ji+smXBLgldmXyyx2+rhcliAf52PRpvCVWa856BAPbN/eGKiSAcZRo1v1D5PMPEMcfsJO5FNeH4JifAGPRwDb1i1FDUWR6BwGbvNFdu08GaWYPvO44SML98lmX1/+nqz78uXPgDnxVJeDBFThk20TcYPEkM7Ue/NNNIH+IgeTMMb2f2CqHCQHn+M6EmRXryaSf34FD3Imz3dUFf52Zm7r+I3HwkCBi9I16EsWJjPYP3kubIS0rNEW830P0UoFgdsCNVoH9944F8EybfDWDBE4UbHBxhnitRzWSPHfxTQSeX0f90og/rzmPnql/l47eSfu/OSF6qmrgyjWbZQJZD7PtBjNdNIW5H8E+4fies+kC+2hq4Gnm2JsS1oO/g324zK3EklUa3TLu+9ySpGbsdSf1w6mZfx5fy4fRNoA4GrROWqifzFGp2KGeddlGMcujwd0FbHZr+o0NuD4F3InZqLCZC1lSsGAnMzUBReb2lhzNnLJYCGZ0ttDhlVMq7h9FuC0y548LJOcncaezqVkHO5hq9scyM3XVjhg8kZJha1SCvyDfV/kqi1qbOR/BkjF9gfjtVKKNCSVIOvB7sEOBOKoL/YpRkPuBejlkc3TVXq7tpuoRPrjl/eD88YgFa0chhkbThKN4Vf2S4MeMhZb/egGB+gHH6WvdhgnwOx79NfrNgOlQDtzCnAF9AJ951S2PVS+vp3wL2CjWSutr7XhXyaaN0UoHbutB3KFVb95TvzcuCnIL3U5m7wAf0M53Ex0DdydOmm+Nzj/Ya2PV7nnDuf+uXBkerOvvDLVkVbaZf1xDIsMWl8lAfqqdGgAn3lQfS4iFkwS+qUTLwBd+TmIyMyLiyjXnpJ5Tdn+9o8ut42PbpoH9rmz/ohzVV6E8JwXXwLtfeL6kAeLSYXeFEjObLZQu3snOj5idmH4A4PG4gjgHWJWYs9ewQfIIn3NNEfAF+9OCuPBFVv2mguVGGX72UD6xqf1558AdkiF72fyiRGkdrAnyVf+sFwXMaTW9TOD9M1q0b3WP3uXXdncqWojpMsmjzFZfwJOKfgOYwvR4vnSabAXfnNgx8I7tgEMbm3k3gIVf+1WxHpUnptMaxZ20fQd8xc4LHrMBbIP1D+zEFazrXCFAlyiO4Hc/jRWbmVZfWGucM7XLCzWRQImaN3czw/rZhxosoWJm1g9+6SxJHuq4tIGHB54L+M1uAsgxgvt5NEWA187A4WQV4bC2vAzWZeHufkmLGB/s86YZIV7a3K8HFVcozk6oHY6Q1mQHvtDLhxgz6+gmr/OoMzY9n7vWrcX1lhYtrnaJV3VspcCxVbF3lI3fgXOueNVuNUwTXXGPO/UGMWY5uo2XPP7cUvBFyBWOzP/cEuCHgA+lmQFQOnivCv3Kyxpb3rFZNcuc8yXX/pWOZwds29z3zuBPkPPxW6IBf+opPgnbkoPlNFqTxiotBZi24nHFIjTU1hKVDAeAb2zA1Va6ay613axJF7/w/Dkv8MbkHcCnaWJmtHex8UVzx/WogeufwmAtx2ypxP6RIlP3ampRJwl/XwI+7p+x1CI+2GBHbWRicQLxC512jWvmcSnuv+JhlLN4bowmWYcLFSYPwNPfFdp7ymihB5Zba0RPI5aAQQHX9k41LFfWcU8E2zDnPDd33czC83NGEPO+GfWxWmNfWSojoT4C53v51+4EhAawQq9WRZph+jEaBqJv+8S5A3ZAtIF4ADk7Iu8QO0U8Yx1XKdfmzB5yTXuhzlY8+8+FNtr234Tr74Njm4qzhPee0a163S8v4EfHpmtHwtUB9/dnHVizQ2m6Ay8N2p8mxFNpszXrtUXcv4uKpNFlF8+7AasF2yo3gOCLcpT7g6MTPALOYbZXD//11In2xVOwgDyU8ulOV/N5+JEarYsOf5gzzTKfE3PXk9k8SsLYaCQGZh4nX3liZteyUH8Q++xJfQYey/nJ+B71OXCICx2In7g6y+3f2jkHsGrFg+WMO00bnj0A033lfTuxwPMAu0Tc1TynkB9D8iZX/gE4l+RWG1RjOyaOvdbW9Ci5ZnkXPFTvETV4S2NxV6KWVz2OCSOvWuKU6Knk3bO3jJ76+93MEechSQWPs1osj6eetMMnbGaiWuWF7mRmdJiEaNc8mLzSWTJp9Aut8+a4SsixXkailsMfoXptAYvZr5oKwATIIuPfhTqfHuRCi4RzUrul6e1ZE91CrNlyuett7LQe8PCFQA6pAwQ/36zHx9wd12bD3v949djaED8fGHyZuMHlsAKYG3kJvvE6B/iREVulgEwaZUsdZg42/CC022RntCMlO3VyOg1aUNZbFHJtiqRr+jYPVjtTKhke2N3MT4T4G1YRMKZQXkwNXIJQlI1thfv45V/ViRHZ9FOBI3KVwi5r2rrEaVYWAk6hn5vS1l9K+z+1sFzYf4pHCD9iswA2M3q0qdFLEyP/hvf/TncooNbmBhiuhVgAXC579p+/sKjpKTgFLaIcvQPX39Px0yVdO2NrOtRMLafB2ohgvrNu/6jdllUF2yRUR0ITk5cvvP9zz/XZUqF3bd63X/9mPm084iqZM/ty/L3Xm9+NXmjNS0eNn4981JuGJoCLuEcpWSWT+1M+F1WoaDWoELipuTe4P2vloxbnQeyXFB+zp3YkPwA+mBuq3gFbdzVNvMSJ3cSo4P535wt+lwNv6nLUhpD5Yxp6YEN306f1o2xZ5YxYsognVfSXegTMVUjDobFc/YCzGHIn4Xl43SSwB834byYG+LaHi+YGOChT79tXnN+cimkH8QBsA1HFlv9p3fdbQQfgGmyOeHg2NVcHZWaUFCpIKOZYWPdG4zLvICcFnm4A0ZJBe4brM0EwPNvcV3SkINdfjC1KL3OfZ8vXk8Z3wOebmrWpqXMuuarKQluNnsKStbdmJZlaW//U4yQfZAA28GbOg4wWOuSGhxoyu47kcHDa9gj4H7iI0Xp6aRIe053+gM/leb5lNTNzUpdShslNhOqjHKcP0amf2uGQIaWWkfaOkBOIQ6aax3dRJAu2YshRrZlLB3mBJHLAC/gKPVicGw4K8fh1D9tWGj7D3P08ffHTg1w20Pc/rpkbix0vSfOrI5G26iKxiNNGBzumYBsPvjIvf5+z6uuPfeJs86yJDlvAJnyfQD409fySls7RJq/zKAR22ALmspMOrKzf6jwEjk79L+B78O+vm0rIFXhpWYc4IIGtS972OPq7JCueITcwETzPK/ok3w6A48Cnlc713pHDp61W/4yt7W9vIPx7G/wgB5+xBGBLyC8L1uf7YeXY1D6eItXnITJ99jcWxCPt5Y31V1jjP0smtgUB2HFctZO7egT7kLUzU+ADh2ZobMHin0rYr7sAT4zTe6LRnIeflhS4B39HnOu8RqqozCynAQNOVUfefzpJR9p8RAe805MwU1U77TSWzPJdzI0+sDkPypzebcQMPgf5S/vnhr20TK8P4L6AcNFdDH8WiD9dYu/vJ/QX8Ju/AD7qMfP20vBnwGOnDnkc6RBi5ZRHEmWuL0wtD7e8oAnJrhrIjvaoqwZesBUfZIenNNi+zhyyBDBPZe6XIzXnbivZ+zbP6d4+rP3aOLNbj2hKKXxVyoFZtrTuY3PX88YKZu5bj/kAmDjffte2cowW5NFqvacmWqDGxMYptdv/+r+um7wnB9HrI6e6gNxxyV+9LWwOUzZfAPv8lBTyYqDN+bG5xwtUaMEaJDYTc8lWbjMLAc+MN7VlXTDFb/B9l3KwbBVuN5K95iHOslp5bvr+pW7PTSC/jb6nLPZ3KZaZu63VdOoA+D6vue8kYqsh38jMsk1N0iBHeJJlu4A7ArWLv+GbpxAP3WoNbg34Ucm2S1L8zno+pu+QL4PpwM2stR1zAFu/wzqbWgIB+/evlg7JRQX6G7DGgnc4ISH6IWxmFdh8s+PRs06fli5gVAvwxi5j9qI07w+WvkM+/28OwvxI4Od1KCeCzOxf8qXeTa92/K/fVu/vrFcfGDBN2Xsm/jvExdf/5loEZjamWvtLGqDs8Lgajbsh6cnPCfDlifab0zBLuvJX7F0T3hpNrl4aTcU1WQ+OfK/Bq0VR3sC27mCz74JNMt35AxkWu+SBexLSaBSSJpguTW/WA32fAg9jC3LW+xyooS2wiUPArYzm6aveJrfbsbTwhOlfwH++gwNOcIc2KZea9q049csHj0xvZePCu1xoYN0O7pQxy0tFGLhSTw/gD24yZmsNmJiDP9JxGmp3cjnEaxz+arNkmS0/ONjyCZk5zuSSCmKX7OkziNHSzFN2K+BliekJC//cRb69Aze2ReHDZwePKvrrJtTMMkwunDUrxPfvcvh/XH1tl6K80vVfIiC9xo+jEBAlNiEvkG9AXI0QkFbbF379U3Eu+z7r+XDWddZMTyukUnvvpGoXgT3fz2T9x0kRfudeQuQSsGTlgy4Z2fCQqRAJYCCvg/Zbz5TtQL9oTO09zY3JKyuHr9vOA8y3dwuuUWI0PyS09wetUIgClwhRxVYfylmuCJ/OFezt9zlbZWeRu+hSI7Kt5v4unNAV0SOlLlESl7ZG6VI7yw3v7Rx4WpXDNbQ+L0KeEBUkY4O42B46HX8B7j3W3AMNOqCsKdpk63w5PETvXs5kz82R9uIurD9NdEcMEXwQmmUupg0Lz5CT85fH//DYbd0roLI+k15PlWdeuh7Wtnj5LdvyTZRUsKrPmuk9l+TKTAk6TLz31/1V4wIa3Nas2xr2FANfN3ididfZfnIwOFGelq/c3P09p/PrHDQFvPsGrJGlAMbEL/dc6i3nJNNuA9+X/mRdP6cRaDtH/c5rs17OoEGOJTe7cm6TdKYEMnhReu2x6q2vvn7NnAFtQssu9SAuNnvLtYokl5yWab906hD2RyHOoD8DwIZNFU9ehUmeQ17mzvW//pSLQwpbU0qAN315hCeMzEkJ787Vw8WFWAPO3Ljwd3aubbpnfHGQG+vJeodYPtUAzXaeQO4kLYuT3dZT3Q6trgKXCDRbIeG5qoC/86E5yNAXyLSCa9jzZCFgv1D2dyaufvlWbOcSuH5odZqqPMVYaPuydMKLvyhHSUoAYOtRwXsIn6nJnvuIrO271Z14QoydIN+/a9rDVKz2+UB74OPALaeIB2ooj1fgy+qzBr6spcnEbHwyUNA7pa9dP6wcJO257G7uH6JrGXBY689wzOZkLl2UQrwgIfFD9wgTvHrnwz0Dbcj4cgu5cNN4CS+Z7hvQ/4eYdBT0InGpsn1SFSLiNd8BJ6cDv995AHrzCHs+v24rt/0QgXGqmDg88j9Ba9y1FAo0+OcBm7dvj6mG+7nmwPcKvNGDxcvNonLteVJ23yE1ph7wltD3yPDyuMthHQBX+A0048CKcJFjYkDfJU2wKiEzA4/21685hHICHZM8CL+84zBVst3n/VXUPVmD1pUUU+Bw06Q9epRh6Sp5vVfjlwP78FaHEFsuCkSf7MU/X7mfTNBsL/FJ8CvkC/Vhez/1bKoM0X0a6Qk00tsf4EkG4O3861lyseNMicrbuPYO69U/GRLBXZWWwMErN1H1y9/c4jay3h+LvEviKg6BrySddnRMo2Rv/QcOTFQa3rka4Ws7v3VfScYVb8I2t/VplaGXPA79aoSsI+ieycU59drXLEYFT2znZWnH1swBXoO+1APdNhywIkiQzK9uPvj3XCTFISIsRwKV4+kso8flfd7Lmfm0HmxV0e4zt/TF8wq6Qe2BD52BxwTMRUOOqdVbuwqDrhTJgxnRVpC34N07DeR60ju+srOThxT262oDemEQ8wrXvZ0L3r71lyOL5AeSrPX5zPJx86CA0YBpkYoePmBXQTszNAH2rG+zQvzJxqQlUXMDXr/aF20pBwVY+ppV9WP94uDvY9DdJfD/2fo82bnz714YGibbw6gHARie9gK0DeSpQikxTDfgdp+QB+91l80qwIuqX/Jyptc9TojCoNf5Y1t7RIiIfmqHCsht23ww8FwbtwqxsncGB/Prnf4NWHOui+QCe8zsMWCzPV+UL38CJOLwxiLhag9/E+Br6WyAO32B5jML1utM9EufOShqIoGb6IEkxvCeaZV6+Mw9s8pdX+0j//1cgkQICQPRDrqo9ui37JIdH64b0P9DOatN1rXWZaRKTXInXFcUZQ7wPL8KTEZdVKWjbmnUzsBTO9XhXW70DvhJRYLsTiM/0i755fP5eHpUcglr7T8pxHPdX9fAJY8KtZOSDmJG3yAqn83cnPexWsG78tPhkRFkZ4WboGEqamZt5xM7tYs7Pupv7U6AlZA/IXfvHPFbp5eOGOWm/eaC9q+zZUQdHfS3OgdtJfqzjNtP0JcF6/2odKaVvdPl0bUFnuJXGD8VFh4NTQacK2mk+LBn13U85WqYRh1RAXzlXeeQ5mLqXt6/xevchfI+oZBrxb8ZHsLOGSv/x2PhzuWScTd7sgENUpbAj+/30gFc/jfn4pg/r4Hs0ifol9aePbL+VzucCUf85bHakYL0wCekP9ezSmqvRFQ+9ix8bDKB16z7+6giVQI33JWDPbekFxKIVEp9gZi55D1odnc5p1LPJX/IUiaxzd950L57OY+QgzZi0DhjIgeuTSpHtFs0eaBTrbZMIcc7oDv7lGsFGiTOZbKuMXEk4BIXxJTuZdZIn3OGj8Dhbwdm+QtV1p8btN+qnn9n+WXMgyiPpkX9mkHYAIfypcJf857fQS8bwCLg6cDPZKyQzZPAPxHg4RZwGDLf0gO8qw7j9JFLlJSgoXee7tSoF00E+Sowfl207/pDzFzAqXC5qWMlVWjOJDrNqesjHuCj6HBfR9mz5qaDfG25XHRg2HpK/gCXquTwOHOEt0wu59oVj0aijyZfsqzXIxlXaR0KZvvw32fLynlsdZcu8gDigC9tjWokvNM5jexZ6Ak1M93o45VDgvR37mJuutB7+aLOrxh30k6DVidH1pe3evjylLvcUtO7eUiU6swpj39z1JWN4qdyl/faiB/akR2bcSelKqi7jCQGHRY66BCsYI1JavsQU1cB2TW9LrJ74wJOj2Z+4fiYLnjE58p8gW5Bd3FcIj4kfSnxey97chSZLLgLeyfjgw9U5dqJ4XrhBY0EwhRiQrDg7yLnmhyi/lEV6YO6f+4U/YX8Kz6s79XW6kWXlly2JhuWHzzsnWy0M2sywKLlG5cl6YAVRNxTMQfNxG+c85twvs6yw13tYS91F08ivhagz9ND2J9VpwExlhJwoYR3773mmsX4Wwf6nnt4BH25qz3l5bOdGZLe6uiXR9lZd5zEOKfuFTXCoMoBriFWZ9CzfeqIuSpOFqcRaMeUGrqvIj8T+TKpR6Dn7uM/nDb3g0RtDt+TCR3svM2duP6WDECei9+6LyQj/yMfGoj5BJ4Z3aidBYr6R91rO+/+A/bUgtnmFqEu0mjQnypshnLRDLbfNln/q1vpb8DnbY2Sgoz1zLzJyhUCOGn7GN71AN+Hflo3HXEhbu2Z2WvfK74shCn9asieW2fpyU4Hpcsf+TjtGw9/SDHNxIi8smc6OMH2TtP2s9v5yqIwP+LlVz09bSUsvJM3772A3ppZTMk+0hdhqKrdJdbetAZ8kTUSU4pbmclrSLjPagc4GmiJXNBUzSbazeYB+UmWQyJLxj19vNi5Td88oF3qfN1lb4BzmHcPAuTRy20fm+0hRLcDnh58wDfQfAqwTxCWnZkTnlmgF6W3iioP8puhSQU4RWIF3Hyyc09Ivb4W++g68uNyX/PrU0amyo3ap6PgB/7bo+rmoDvyMIH8TUbQlvYOJlNi5WQMcL8AtORTZmu59mJyWLFyNWs/aiE8EsI7H2A9Id8BN1sxgT2b/6qRls2YbFPgy3vI1bau5f0OdaQ7+P2fzElgj08qj3yjcAl8kpR8pq7uRUBnPJPn8jPjbXbg1g9gZX32bU8daOAHSfsF5MF2r2PlptZzPjKrNEKPFCu3GfgbK32FpzTtEjtL7wk6bKOCzAfd9a271a58LicRNhCT7Z13pgXtGjHIWjkT8Luce4qah8Ymgby0VsVmoWR5Y2F7LscvWyt6Aa6VEGnevsQe9/oHaMNCD8TwUIfWZ3A3p7Nm5Jk6j+90Vj9qxvva4S5gT7YP2yQf0seheNWLMsCAPh+sP237nbLWZ0MC74V8i8G3fbESuM6bi55L7lf5yGH/b84VZKecZTfAgTXlhFWuOoqg3dr5rGL8gs8iad37nvWBK4uVnT0U0pkOjSAX/T/+ecIFDQh5qnZIqGb61pUuj0oPvv+CyIsP61lCDprSkKyBi41Nt1loSdrcGFJZbwBbjz2YT/28PoFbz7Wh1vfkaed2in7yuCPc5rm0sxOuhy6x/tUzcLb4t6bCTN9psFIy/HrY+5rcnml5bQbvEPCH2rrGTnN7h3h1m3DxbFzYkwxL4OkR8G3QrZjmx2VOzKoEXnBPC43qOTmXglSQj6zXzjvPy0YAp4npCrRZn4fKkViz0g54ya/riusbd5er3Dn5tj41A66jCwUxPZHSoZc6SootWt1IDzgVZmfimR+FTawY8Osic/a4Lbdu8/ZY6JR7HezMDuB++yZC/XZuW+sRBO/1QUD3Nc4F/jsFHDhZOU4p6Myx7mCfoX5Rh9oBvWRrELstaFhmVCrDy60JyDYVXw4f9Kfs8a+vYzbjFSnUAvj1WcWlV0WwsyKt9JC0kBPyQ369Aobd8rBdp3F23oMeUBKi3VmiPAYsGjK050t4L4+r7WvPBlvDe73RgLSwFmE2r948al3Ja3YYYY9YRYlbwC5S5m5yT4WaahehrUfuqZ1dXvz1efTlMeuzYVrQl/C7kTnVHDSR6+OdizYsyNyMlW45oJXkiZ0t96zD9I2VpfXWaQZ/r43JQGeZQ9hutNeeRAzc26Ot9UzNPPzPY1IuzdYhkM0g/c74RHvIj/j0zIZrLCNxzJyrIoBRJaw17RTwJOuNc32f6fXNSPd2/ut/d1objmly6I2XBn8RiZYrav0S+uuPGJZOWohbOlxbGn8tAPc/xShOwNEv2Qj5OrIzeZYb4LZbYFzwOQ9cuw/Yt8k7R5EqQpDXzFlyiPnZ+q20zJ7DgL6rpGxvttanEfQmx/QOe+sqYsAQpti7L4cVCRccvqdItgSFwB9xdTD6yKKW2j9j7LfOfJu51/HA223tAFWFHHcItfWeAk7wB3hcea6sz7D1l7J8Pl8CbyVMjdO2kqU9rwUOsFLwPh0aqm8pzMehgNgKVJZywMQgueaAzf991ktfZUwHh4LMubymol/cM6M2B9tPHiY7wGFeOWhdM9JJ4PF5MW0kA2z+1xewyvvk8uoXY21XyumUDRAP6z+3Bhgtge9HvV//KNX07cp6mb58Y4G7pb1RZZFE+frKRIC/ZTTtypH6JNalmr8QMBVpvXLSmfzo7mtW6z9+HvFHOjhP671didWU8mVUhYvbIUw94vzeZRONppNCxOLMnY/AXT29gbVHehad7X/Rttd0xgEvVilwX9DuuAR+EQC+7DUuz9abKQ0MlsNkhcasPNDIReiWBRkOMZ04/vvWX7Z3oaC9/qgRZWx93aRzu9kHZAUx74HGfEKOc8oxfFJOE+KVC9Zxj8xks3sCB2ZfM2jfomFkkzJ1ER6fiTut94VQwrm7qdEBaIX/ah0vwBr159Y113r4A3k4STS/evl6iRluW2bIg/anO+BUDnmQwHPKdBBOE7UR84RzyJcDCXpvn1+8f72gGdK9gyC2Y+2pJ3H+IC1+sfLFe6Vo+8NweSjI5SQyVzq2Izzr957pCw9bI4RY6OF6BX571lj72oH3F+IF78uzHAzLn8t1HRnZxFNk/X6BGwzEeXkSYntn+r7/ytHJyV10PuC/i2bU+BAuXQE7Rkag13qaSLPaVqEPewlnsM+OfE5Aty63u+fFY474kLYm08OCPy/OPoI1P/65g24+Q66x89aBb/166RDQCQh4rc8ibPv5QZeIPF1fz4JfHcDwrZ13zK0vku33j0KPG/Gqp4G4c6n7ILAXAVfNkcQt2cf4t8ZsH59c+MzRarT3uWguaQhxxbORTIdRgFZ1FsBbk91MnHqmpRbpQkMe5eLv+d98+VYC/hdpQTnomFaH5PvVt9Fzy8sRG9UljfAe9Nym7v+c9fCu4YTvP+BvxlY/2mkvpYfLPSasxtMz780F8D8lzhV2nZEM8nEdtbcGMND2RjP+wCycWutTnLmP7T6wyixpIX86wIF+aCiCyn2ghqn3PdFAZOLV3iRJgXM78w44essHYuPI0074mufVYJVmAwXUAq7pZAji82b74bhn7+FxDvlDStE8GncKKfdROjceM1+gtx/lIfz1JMSwpv4e8u6BqWN2/OM3CBgiD8+kF7ZL/yzWf1z487OU2Qx8c1vB/9/j/kbYyvpHHQ/R1RGh40COqoAlu3Wsd7oHrtNtvHJcWRx5zzZ9VM41aEIRSnvnNSy8plAO8KRbxqdch1enEqRkIjvvnK9bDvm2dqgkoItf/WQuRzSHNWGC6rldV87y9O8+Wm0o6JOdcx12/+f7fYM9eM8H8Zoj8pqpYFb2To9y0B8KtzGPloBX0y3rzEfjbG7A/QjsZyaihacA83XfsspsfD2XnowVrSKI9cjOdhWQ15O+csP3Zz23qP3h6z/AD8ubHPwhtfXDkMfScerKXq8b4Kk6X3pqVE/Y1wubB4BzHQ/xdMnDdN7nV3h3zUJE1ytomV1q1Bp4fGT3uoge1+3M33f0KRvszDt1gmdggptVPausGqeo6dK7AG2aitWPrcNSrtnwMH3mjrIzdomSk1dz0DZYAWfQTiqmjMjrUXgJqo2p9lHoqv70P/U2F2frLgNlyEJhDutq/nnrCPHIbf0yFg/Qgp/2PEcKGljLUNmT+BAtu9rOX7VcCnHX3k2W/TIhDvVL97rdPpfIzqDLC7rLXf+Nlem/vgvIM6P6rl285dz/yOxcdmG2wKPgma9bEpCYIVHRaPmdSjWCRp61RxZ1p394vwRtft0Kz/Zw8qedMwP71eTu0tXO1d4RvnNvbOdaQU419fj3wb1EyhHw3Ezb0umdxs5QChcoRdNIuzZN4yTgjm/7EaomevVpCFvHp0RyYrHtm/+6E1hbbu8gcYpqR+M6Eu/6+YIK/PGqFw5e3mGfGWus35ADvL58+fl2VEmWTHJ9OWtXwXM/Nge5/NmHaOCgn2isrd/CyFz0kNKA7l7+NGK6NvFf9xCJZ/rbowr8mfttY7Qiw3SGHJzbGVsZ4JEay3/+XfE0aLkE7v5IK8hDFXeAU309qCFzPdIzwRT+PjkCDoFe+DoD/3TTeEJknFQ6J9zeTb/5xgHbmXbqSQ2eWbdi+uXjSa0vca6j9pSjzGl6fiu70CERutHBF9Y7IxvN/XBcdtWoJh40bjMSWReA2+PKztCedYfjal4V9hzwXTu3hXXJIBcBXxBl9+UBVzkzjIN0SCDfUqkHP9+67YPO4RP0OzrEp3sOXLgaUHAQlrti2wsw8x7vyPAAduI4un/cRcCBcz64ipN3X3YkhqRMZXsGbX6zfbt5p22PFz1INGTe9LObE1If/8wNmjzlti/vDmHnJq+XiHbkCmt8yQczHHp83UcZgr154wPKG0yeTF53NCbvusoMtO298ZI2n9s5BV5WiaST62VMIoIAL7eHf7M8/NIjaWN9KTq8bQrbq9x6jUcosTO0ez+pPXKsmTAq0L7s04Wy/dvO4sb/744+UM/lWQnRVl1irPcmB650GLLbPqRDKsXmMNgZ6SevwRpwgyMZXb9zo+wsPTtz6zUDo4kpaXCDpLzuK9MmdZBkWl5H4IlzOevru9+hwmpOO3WUQTnTznrAmqIc4XePzaNEL68jW//5k83t6RCRDDTxzs6BEShxRPHi78dS4tDqgspR7c59fAiBH4fOzhr9gw74t395buQEmC4oBY1WOQ+pUSshj5SEA7cDlBf/euhmxpORjXwGTbAGHSVBIw8H9rVoeowhfjKIY2xrYnlIT5m9Gw9oJUxb1vzX87OXjHxCHgmaSOVNfyUEtIVyrQ+WTraOvgN/2dWziTLgtIIvQ8C2BQuNcyhEd+jJR9a3U+k650wY1pikYrGZSZ89QTffIcedIJ+/z7EdMf/1IKbSg1GnSijA2aXMbF+im+z18eJQ4OsNaIF0vSxsfUAdhQ/hnh5qwHvBVt8KuKAav2xN16Ya6ULM5kSG3k3d0x006MdBPt56OcvYyiee6nWoITMuXFuPSGb9cejp925WkJR1yQa/Ikx80FB/p7M+Um7WmcTfto5PhMJU3erKHf3JhunT5siqMB2FzziECcSkfnM2ViL63LMEA8fE8PsfqZxihb880JqzQKXThPCZwARLwAkZ2B580v+7E0mKQ9z7qlhJHSfG1lTLwEDO8WGv4gX8TEeiC0oH8+5DJFlBPkBv5gfu38gs7EzkvIp64IZJDFr3WM/E9ns7jaNWoBd3hJ8cZecZRF83xcSwnduXL1YePtaQJ9KXn1Ecng/wM3m4+V8+/+p93jl/4PslRWamqA7VtbSzVVmb8cB8U8n9KiQfHLSpEjrivD+rHj2JRz4bnrzqrVmwuoqZHmtPvOaB1f3JVWyFUrYB/vX2dr7GNfAg0N5FGl6/M1dQWz9Dhbg2Mnn59ZJOe6nru3og5SFoOcUhArxVuQt7lqs2nVMEusytHXIqDX++1jZKb6CZyB6fAD9/76S8A9eCDOjJEQEtKr7TyHhlb3rQmaoU4mzn4/ERw7v+azOxXzpUaDexp4CT1cbNiONyoP/2H1M/wP3jysUDd8z5//MHsH28932o93lH8RaZsJrpFjTlui7SRW197ovNzPrTbPkn8IDvRoiPmsE+mU357+xZPGqMb7KjP4yRfeai3T5On1UPa97TSv72jFxmiLG7DswMnx8qN7k3dk4dA8yMVFfHorfnHjtUAv9rfBKYI2gDwCdla7d4FRMsgNvoAh+Fc0J88BfE4XdSJIQPzYI62MbKW8NK4Lk3DXk7Hw2tpZ2trR0xkguTpK2H+w00RQBcOxBRa3tbvDxuzk1gonpudxbrGuCVe27PUg3ePf84xHHOsmufB5N4wnqjOb9+lUWDQMsPIahw1TWRJjlw6LJQEV8v5wr+bTn/ndPnlWnr/eP2/86jnssP7dAPCnlj54pM9X7aeOld9X/8NIC4lY9eeKLMiwyV3Xsu52XWwvZmUBf0ONrO5FoOYpc6fx60aD8r1G4gBn8o6EjA/67hd+cQmXUT6hBiYkVD+I4hf0Dsd5QZmvfYzqHeZCg7M9sPOqohB3x6YwrNLzfb+547pGNOuADdmh2AyVfxxts9r5/6uETp888dvk+USr8SSEclMwa02essGrDI0cHqIYReHLokIQGNGUQ2jRDwO5pLg9817UHKJ19L+gG59K45uW699NGMG4i78Em6/gy457OeHBkWcy61oqGp0vXlkcZiAxx/859GgrwHeUOYU+Xoj9TonICGaZ5/ntb/9q31YM+FDLg88aYn6IUfFhGTGertI9vTY74Z8L3ceZxLbkg9ThUfprGxGGLn2g4kowXZHNbLTxIpxLg+EmAm+Vg+tu7C+mWAZv31BwgECz0GnLtxlqSWS8dOi5ABeeTHP7d8KG/KE1kenZ6VTEGTbe47d9k2km6ygsLvbRcl7NUUuGhuiO2PG4DTQpyIUxqCFhvJhjjv/q9rWwXJHd6HnfHyc+AOYLovanl5MPZ3IQIyiHFlDr2KOeduiWyfKHnNFMrD5UNzRRrbb1Kszo1zsrXcocIq4Ejhf/PpxRPW780PT0qsOGP6CbgEfNSkLPpC+9hUMt6cSdE/635JgWMEnHHPepiJwZC8E76K/J7aeSORnb/u86oo3Vwu3TQUBfATBvzpu3pes8YN37n3WJrTrGK85qL3y97vsuO13M2rQQQtYQh/grpH/52Z7okrNrDPPAY4LuPVhyzs/Y0DmghfcleUZYHXsgMFHwpWdyuf9r44FPjd8xjUaDq9/PBm6/dD7qxXM4n1N8SxU8JerjCBOLxuYKfD/ks9wGGiI+Bpx2VcjviaOmKbjvyeDu0VcgpgWn8D7nrbR4vbHjjy/3j3cRX+cZRUpLY6waSexCe0e15mGSRH3YlAj6vPegAt6SrDouucRooSD/jFAHqySBac9ec9f8zw7AviNY/muRwIb3ubr3Zeq0gswnfM67FHkKfp1pk2DP4HevcG8djWEuegsyQdTc8cDthnCtB2i6pIWuXhxPqY7Nz7befyZ96LMWUJ8Du83xeQSwerfdS6hghk3tvv63IvXU2ZRHau0I0HpUuOV06K6ZI5ZAc/v6sK5bAxPO9jgZuYP7RsP8s5c3PQX5AHWBOv0jTSi61H8p2np3QmkK7sGcCqrZDOmJe8z1ISLeD3DXauTPOUnf5WjNwru188kzGOrkrSs3BJu5cc1gLe3Jg+7Rz51M40llPBEC1qbGumpjsHLOOhP0re7lIXfeTGLHLgb+8aTnhGOwMpZIEQktESwlFmsuV1HC5AT6o8MOfGTS4Hq7tA+5fc31SdPsEeWZDnn5uM+PlgZwsV/fkA2A28BJKB2aby9Mzdx7eS2fveYWN7U+y6plEbCceQ0tM/ujdjzpfr2jElcADgUrhteuCN5u9TBf3tEPpVMyYL2KVbEdt5fZlHXbI+xPiDSxxxucSAOXuKSCDD/6tna+a/Ny0fFZMNOnR4rJ32mzkGMLVflMNEREQfdLieG2ZrCR4r7uHdf/U3PxpNLRfTT+1pnIeJp7hQpTvFh0iDRjPAdco7dcS71jGt8YrJ4nSrOyxBS3p7jrY79OWqAX2oWKXKQStY00AM0+vMlQty4iKhedh+kvXyptdLV9iZCeG1V6adWKynZlSS94BP0ijS07f+ujCz4qJo25fHfE9G2S/vlQHFzZILc5d7O9dbBpgCpzymEmFd6OzlizCrtAmXN9Hj8VBMKZ0Bp4H/MS4gpoQD7/hTzQrVgPnvmtvdjCFWlt/WB5eOmuW9Oaf9o2Udn2vz99xgfD+MwL96DM/I7dwryQu8yVhvz84zGTQLEn/5h0FsgDvd1GjvPkAHenZG/aPQ4j0X5gq4oIGj0Y6HQuRjs9jaOR+AcjIS2T7W21xC3jFJv3X9z3JIPT6WC+IatPOaZ55fK2nrtjoD8ZvdKtM8IMNdgctFoPl+DrLN5fB412OP1Xpp5x+1ua0XipZJI1aTRuoKGhG4r1qDRvWUI/Kao2IfKcaYuAJsUlh7RwLj1CPk/+HipB1F1aCTEvIzjdvvtAAt75CflF/f52w55Oyhge+mu79PPW8WwjNHMRORR6qHeNiw4X6H77AD3QAsIkU5IpXsE8gJNEutRzvTPiua2Xo8kQ70uhu6ejYFgXchkFrz8LcXZruP6KbuIV67FWpc+rrfP4gVKWfQkd7K8kdBOmL3MZUScq1z8US3ASxd+cDLQ8j3M4G9tnOuqDIr4Od6JBhfGA9voKtBl/3O49iLML3b+jPhvLyBMzp/nbmnfl4zyICwwOct9vkFqQjWsX+U9t7+EDX3ulDn1JkwH7IzcK1V4+mutnflkIEPWO94b1bV8MfOHH3PkvDzcYWZOz34rLE2KyLkY6QDOgrQjQKYWSoFaEdybNDf+dCbjMBa2F6s7YwfKvo3d67idM341QX+dlZR+2B8OYl41WvrRwGx/NsXwP2okmZRu2ILuHOuBCVymGAtFOS56wA6aRJG8WrAv75k9bDwm/Bxqrh/f2Hef77twD3PW7eVMkzcSkygQ8gnZ/rt67gQuN0q83Vj1iPo1ceY7IW3mbeedVrBrxnJfNReFZkt5C5vH/ohvAuS98uXdwXkvOoghJ0ReZem/aZjGzQGr0G3haAJgK2Wbz7/Y9+VRpRz5xo2Ats5Mv88m1w1CTw9qHtf7EM0w94ogQMuUqf1eNgvGg/4IyfA1aw/vdrtC32zHt4HlqGtczpXXDDVPxLKf2c9Vy9vzIE866B9Mnsm7a0+QOWIjD9utkZF9vBSI7S2Mxi3sy4yz/i6a24cZzPxDE5dDJwTB2lB5ho4HnESQobkA3LEU3OUV3xx/o2NGPY7QKXoKPybKabr5Y4HRFSR+oA/RyrYPNK+datgc37VW6//LA64BK2U3QhPPvRQ2lkvxzymvjA0282kUzFpX3unJ995jN8cm1p/17znfuY8Qt3jb9KrsSlaVwdfwFuStRizRybEdyUJydd/gEu1F3t/qRF87/7kA17CXi5vbDA34iDRSMwzuZkFDm+gyzPF6fscG74HXQBH5VW4XJFAfx5G2mlj/SLh+3abMw8EqtiXA2qv4Ki/56O6HFgP2gh/cpHeK29iNWvbErhAfrTz0BMCunXVDOhxsLO0nC//fe9wGEoHMqqfuwlmiNxfvjqu49v65q2ztD2Keza2o52pzE1yojOxXs9nPQJXBIwQ64sPmeIHONF3M04fDGkH4vai+y+Hc1Qdhl9fLMpC/yx4utARXzTygeAZd2mIZe1cTxAjO4gXSTBZ1BG6lMVqD3lP1TEp7fzGEk3fQky3rafuIkgMBd6bFe3V+hJvXbXK5lWaF+S9v4Ic+DtnJswHWjaChsyjaTWgFRXms5rFSQvtaaZdFjYQh61XOpDDosdZCjznoDXT47WzMz9BgwH/8m+psOepdgb8EvayuEFue9+NOqURTBTZXMeNo/sScmoLGv3iaqzOHLd9CftX9s2NdnSzZyohfVKl3Ge0ELau4b854loCz3yA/v/Inevq1bfjJUjb3rOZvDHlM3M02QPH1nM2l4YmDWgtinqfQjTkuJ8ZYHIaoTFz0U/DhbD1TrSAPBKalZ5FVnX0ChxgB/ib1iG50ji7gx6MBOhkiBs7N/DNo/a1naXpKduf+mTGzgdJlJ3tXA1XJsfVpeHLZzaanzq0XgU9Ku18A2ea4LsHB/nnYWdI1sNy0MfLk5vppIEPgr5IJb/yA6c4H3+9uFmOV1vVZygPIF/0V1vH9/LuUIaM9nyidpSTjl9+zq/DXsK+Rl+AqxjePaBI3y72EFOgEyCn+ZmQC9A06Mohj8Mz95Cf2xw4zn+fdUsjkgEX+WmOf5CdrbOzvVDxVMn19dPWV1XjlPA4Ad2An6mgm/R48ex5nXAe06uXePxagO5YZ+6ygzX6TO2EkWAVMUd8CtA2wmvffkRpAzqHgbahLqxvkeS8vyPrTAzvDPK29XEEEB+WTKE2LwGLtYOr8njx6+OS2LkGtTN9N47vaEmuaYf9nBE/94Qjo41LEXD04revbUfHCdVOdifhMsicpUrjiTeheuiYPBVTrDF6AXHRUqPbA+DiQWJCB3Phve171B13/6C6MB4NMYWfS4RrhIDYF4PjNIbemn56+6Xc6qjtpfmaibM8Vy45Ay/f8kJUVNo+huacepOdEWn2genlkNypi3bNKNwS9roc/3oUTzfWT/cKqRtzxTF1+L2KMycNTbcvpqkG1vM+F+UF6PZ+ShmeFMSCI2P6KcTJBc2gGuthO5JcxsmFjlQ2w+OjCf7a2vyehvohJAUs/Trn3t+zNFNYi8ZJHVvn8ChLpnlZnJ6yePfDXvucJ7mMrhiUpvUuEnXQP7NBwYpNva3bkwFoSRbeOFMlF+ZbwNpbLkwY7OFwOf/by/y+t/N34vYDeMPV+oZVEfpo0HRL4/fZ8gXBM+05n/LKAR7ZTy+vN3hHEB/Tqh4prZBBbKBMOEv8f3zDNwyTKC8yu/4FH1ePGvAK3sXUINiwAehYF63UvEoYI2/8shgVHqQAxADMdbCds2nnHaJKPnwdirZxphjyK9A9QUFrbgEPBjLQtOkMxCZo96LtUkP2hz5dVCFgqUsyjlb7nEEecAmxfXfvM9gGrU6V4/egYpzUtMDvAcVmQ6vBbGzfATzzSglTMSE8wItp67XADV/9cjd7v2k9QWkx5ZC+fRXgczVMJ+DmOT0u8wPXsxz12+vDl8FqODC9q+fwbOeO7ZD6sX33AsQy59fVS7tIwgB/z+VQ3vKxvMFenfWoBs6Ikx6XAyle87E/a0Y5GZB3EBDNDpJqwGuIEfQ+qwT+VFaeckH/umx9RfBvP0hMkO5aAti6a7qvBeDLx15OmYacbb3oK7wyHIMm6jAqvSTVQehVna3ngz9f//FtnT3Ff59N3A4K//YgXPb2fsjVQxP/RZkgXoXwRMPeF164EN3q0/pmHSLzkTmwf13ui+HB9WBOIvqC7ADPHd7dCnTenjtIWVSyPiSmQZov4wNbbVn/e34YQd68A0fmta1tdZJC2nOCMHRAi6HseH0CJ3zqglrP9455/ZN6WGjnCjzKrqsS+1BMlUeY7CeSRlfGveRe9Tohwx/bJ/lzCOl79sdTiBY4SPJgozjXxdTSPr3nQ4kgi+8obu9qvYTPW0IOIJN2kX/op2vjtXbmGvBa8Q3ctJcs+Sg7Ae/s74I5151CqqvdZdS4D+C35p3nQ+2SuCpevetCASeS1rOuT7Y0VD5ojlvmmrLplzSXyWkfft3oXPoiSlxQ63MapHNqsEedB3DRcKZeaXvGz5BTiwqrKRVJJzrx5hvA/CGHBWYv/tM8O1uTOjcARirWHmhhBwEybJ4AyS7D9HSI/AHyCWgtwMrYmDya4H2Rc97hD3g+ITj65kZtgJMBB7L32uTN56UorCcQ9RT78lJpeB60mCMMXNdOB00tL1Cp41tj7QfEDWiTV79ev49KWC1FKFPwRZvzaz7Oq3cw8WvR5gzQTPQ+YrCn3mcpNUpGaayPt36kjm7LEXc70GJsQFklyAfE1ZkAe2ri1K8c6/vu33Rg3Mp93ATgG2hBe26DqCMWNNDdIch8ZefP4NWuNKqtw98+35L0utQMNEUg8oarCwUsZJ74PPTtTwn7N+e0KvtHVSKzS6WinIk564GD2FkhUSJFft287lHdhQv4/dkAt68Z5POx/YF8vSjN75zHkImVrT+9StwKyVYfclCyLshZREsgAkZkbksh95kmwEXzP+cdadHPaT+V9agcZufUhLiwtY7cnG6gZ/qdnSvjUJMW5n3Odsy5uJWu6CAOz7UHfHQ4IWnn2wSZq0ATHECf2Dr9PWtuW4SjvaQtYNQsQt1pz8w6aGkmgSN7xkD8jbY+cItAT8sr7NP2pN1fvXwu++Wwj8JZD8r6zCsWPoaqOJ1TqcesIOkBOEHaX1MxYCcHDZwPOoJcuwP8ag94ddk5BgOnaRUyKyavGXOXZ+BXYodOiHbZAzj2+7m6LVrFer38yQZ0o33iUng/5HldHEaRwXPcSL/83sfagJ6yHu9OM/A5HehH6S6fwpAK3hOlDuTbTpyoe7lXDgVWSGjJEgO4sJKh/p1NYPvJgSf4ecAXamiefEgkiVrZiNIl49cNck/czMkH5Lo7C9XAgMekEA9pIJIqbL8Pgc4Jals5TkUpzL1y0es+JZW0srW4An+9zwFMHgsJOdTVXvtgDjoBn8I5x5uyW8F+0in3phI40ynr2m94T2Mmkl7MWjEk0srBeTncHV6QEOL+WQ+kZeGfJ3CwKo0F0ujvWcTi/Q5zPeqpcv0Tj5ZF3iOf90pBDEZpB5oENPK+UFb7IRlS0MB0ZKAjD0MbKOAnda9t7U9YOcIhkdiWowEd/FhAzLcQqyZ1Eyd17867NhXewdHeAysE+RZimnr61VMA+btqwqUD2SwqUfLxOh+0GtjOP+htniYCdIH1RJ6FXCIVXrxmXsVqxnHttRvA0ozx5bDzpvf5/Fofl6faaFGH/f2Xu4TLnvcPlIdqL7jaA8dJ9mLV5YUO81kYbcRjz1atnS+yc/6cD9EDN4VJmb0X5f43sfNXWFIcMNk1uH3XEks2Ax8zKtq6LZPyvtgBn1I56I7XjOMvd2trZ3vgsqMA/o7vjZm6tAccjQ3wRVrpaFoQ01LSk4C6VreoLo/biRamzN3pSvr3bNMrOxREcikePEIklegzZzpMC6qEl/o1R4C9yepfXSXJD+E1zT0SyBgrBZwr7VGaMf1J5naw5/PWN2tnK54DAVzcj4B7jrT4rdMDzt0/7UyDqtMd5PMPZc8j+6V1bvIJ8DfYHyEflRTDNJZu+70P6ERimlfexpPhI0yf17OtgaBBP1dd76XPZdAY9eIrLLS+H+n7s37K3r/D77qVJnFAM8L+bfdV3GLdEVfNyXfNyIIUqb9FyZOaHjGjnsCBsjycnBT423Y2K+spmneQlwfRMkMXypzOdPBjOuvPRr7nqF5A/4swH/FaMRzBtxkr945SO9zNzm33zAJiXopxVVivQ4bbR2V9VPrkpNyrndG5k2HjSP7CP0cD3jIQBsB91zkiLcT0MTOr97lom8/kVONkzov0niETaIlhXfpFBZq/6loG7yGpo6V7kOou7PzL6PqjnhZPiL3sr2S/eB4ivOdzcs0hh9j7ndokQ96txsrOWWTvmXcXp5LtyMRpcYiQ0DP9rIY/LpkVOgyhr7HYVbjdaUzbkll/IFu730I8k5hz4UsmaBUunDrSFXzPRTNcK9gHmBWE1QGoI1EiVYhfLx2IkwV3l4hBPktD5G2dzNk6yfc+pFdl6LYa6X7nwj4ZyFU5ZF33PrzupK0R6MGXT3FiPbEusl/GwDEqhehiH2c3yNU+NUbaGpf3mUPqJDc73+PltcKz887NEIFczETyBHw/1sfrrvZWHyyiFeDeU8rkqeXyI8f9AvBlLBndpjHpZKyqXE6IHZelksqey7x6RKr15X2Wctb2LiJoQB+ugkaWPnFb8arptH6+HZ8bhIGrEuvbl3G+DIFPLLRDQSu0P9XQrqVIZ9B7jrQeKbGZBbN1R4ABMzXVsJwyb3rX6j8ZZFbgYapEgH8RKl8z0IDvZAYj2aO1ctAnjZsb4GKydfxvAesmpYjyUFcybD9SO+MrplNTrHAVJ30dCKNe5yQtLGl7pwN6c9GH4A9xkNOnYKLPClzxaOIsFtkh1HtAucL2FUtDV5K/PNMK0LJH0BB2blBadStHShoBbz0L60PYP+ANAYIyHMO6zDs3iSrQT/991jPlBr47/GSx8dVQnlXBby9/11eNHz/zobSeJXae1YLE7WbnKpUi4CWQXzkmPIf9wQENDsN1oUeaKTMhwinknNJRlhfPyfusMj4MZGrGl8dtrlx0J+bvnXXAhVnjEGnPIdX2MPB7OSSZ9XgHzXPezquxWV974NbZ1iFu6hEkQWdsZwFqV7XcVY+DnanQJSzvr+86op9ctm2KBc+R3grgW4do6asItLCjRQa5mqNssUOCcm81igIDX1rZuawolWQElXaBtb8D109AAxSa6ztHQgG2hamrhkNnPZg27x6EE/zMDfhVW8G+zQb6TJ2FD/n4rof+rNFqDVg9Qg64VUhUuask6UjSRMBbHfHDYD15pzbS2FoqxRuhRltfA3ttBRz3p2TKA+3xnieFy5nSg9nYfqYN68VPxfi8l9q1cxwbHrqv+U6Ftue3t3JM7L33A/boQ/Sgo9yrz2PyutWH/GhEeJ8hl5533uZsZ4ipwZ4bk3f/8q0GTWd9fpgRBuL9SDpBAROODURXE6y4sne7QVuJ9WVxKFag3V5ny8/U9poVre3prVi4PAK/P2f51Ss7c8ltnSUoZzInvHGm990oSgN4/n6ZVnHjqBBta+63VWTWHKtV3tu7GXKRoW/7fVod0J/GVTYnXVncqnzAVDh/QEOj0XpKwx721fPPnBb4IiR+ecbn3d/fcxsi20/g6nYGuqggb5T5dfzPx8zOAL1q97rnsR5B6/9sXQXcFPSV7UfxgA+OkytiYs+v43Lmrr2pTgeBKg8jEU5Uh0sO+WP1mzfGqeN9u1cYYnVI4DmSLA1xwMfVIGwvr/y6Mw/7Ok6k3cfwXX+oF7qkUHE+XD9V0dyzvq2szyN1p7V20sWe+1sWJZ97Se4QyO/zw4kO0x704Te8szt3CM+44x6AU0PundiQPoC3WE2023nlfR+RBegTT0XNfTf3z4qJi9UVjOO5wmRiDlkoES4yrlZa3iEnYcqjx+/5oXIS7yAm27P9Q2UKPOqRsoBk9Tid0gh5gGkOC1QEGvFbuTSVkbqroO1y0IfE691mVk/a47leL10SLW7EzrS0sxyD8EEQRTbfvs+jVAjfadAKdGmxD81KxTbnkxPwsyHr7QzCze0wlLd0/edG8j8LxUqPzGZr5/lVMTUkdGare6t8SUArLQ6CyApyT+ngveKkb5zlW5sTEk8e6CAJMfEjJFrbuWOAGQXwhE/q6uvOoShn7TkNcEo9Eio8PTTkeiIMcJ3mIYB7M5du0gjeBwLtHk/WLzkD5fQ7B+P3zjd+9aVYb9IeNJ4sAfuZXO5LB83EST4ORngM4w+BsQGtgitHMy6mm5bZmbw8TdpF3mVu3dEt5C+TY/1gnoY1TirWlfb5fn3MVCdm7tx94rUEOEkC2LSpYu1RJ/RAp738Qclo7331UBZmb/0j0o4I5q0WZUdsX1maAXaq+MujPZqaQOy10Ct7rgTac6jmX39sdgBsgrhoa9CMnJHS9nGIuT3DPliBRj0CQ72lg3Lh3+G6mIytB9zOHNXDVKbm72znOTQ9euZz8gBOeawGfCT8DlhNztZfth6Td/+yXwPpOkidMA65KC4hB6RP5VBs+5C4g0HdGYewVgAefNNCbe0ZJHWmnS6SWyla/yBa0JakJaCXIV4uTaEvoAdd4NA8H04z6Nb3/vquA4OFaRXkd496yQO061OAVqc4iRS2Xt40puyvX5vV3MzC3aG/oNfNJ5MnB7D5Yf0LUnvPwfVPLTTN+f1MXeVxRPJ60Aww+q0rPyvAuTpQe86vUVbA3pSOT/ljLTvs5kHvWM+VUl63OScXgVaSDDg+2Nk79owSnpEXGLjcAvKevjahErKjI+jGLXCGM/DZTSPV8a31RH9106I9l65OgSv/6IjfVKR/mhC3jfsI9iwhJHzctGhsv87L7xW4dQJrd5T8ugJ8+lcTM7dXzi/Pw7gKdCE+NLP+OqueQp7+77nOgD4drPdCoexpfTMhFl3A5CPwBI8PgDmACYAt8QHrgKOE0TB8skFXaad2NpasF0jeUQ80tu2l/bF+yNKeEfbJBThvmfNfrUdyT2w0ajGDmIXn2ldB+gRNCyqq9GVBe9qRHwIqqjFJyjD1cw+vaxefM6k3r3NtPhWatVnNQAsa1doZZ8yePQDWU8jnwJvemLI/DGpTFuRcgWaXxz9e7VHA7vChXXFNo9CH9fgE/hQwk1z+5VLHFz3Ep0s+JKOfVDZODlhJ+xLywRX0n/XOpKDX8A245LYxb8/q64YNCd5j/WywAc3+GA+m3RIHrTjskdRbPfZFj/YCR+msnUPUgu6h33JUHivESQ79YuuCxov1Snj0o+HiyaVx1Qi82daTdnqr13/enp8zZANnH59uoA8WstfrOpo6O9+OjLrYs/abDzQhg3NXdr6NYxZZoa/ZANrneF1kXsvrEWc5Oi1q2DesW8m8J5/wfkHJKEpQe9Fx9s6Hm2ywGPeAtdKgcciFO2hRusvNYdBCGXNhrvE5PBMfllJ5kKnEylZ6AYddWk8UbH2Kt+7pYedsqtBUtpcLeEtCJToDBz9DnLz9bWjJl98pbtsqwKAH+PMQCGBa8AqZztS8+jy8an5KR0h/B7EvKusvYSdmSxqX/M8d1gg04N3XjtjnPY20o9eEmXXD/QfwQF8X03s2AeTWle2DmO0dkrQOmP3Fzq9+qHA6qbH09+G0beIkaZxW1sEKVQHF1hNEYoJlt1IV1yFovT1wcJoNV5cMws1cTW3f/T4AHI3xm/euSX/teJCeAQN9VQDT87h3yJeZGmlas/R5EKJXg/J3jg97d/MQEcaVrRcsAKeEPStRSrgP4AMrJIok4hjnufvHpXZWbQH8FeP9e381w2MNe7bPY1FCrFk8+Ib8ygC7RDlc15DHfev1zKPrOeuB84bC5p6rcnHe2DmtLqr2AXwHV60aT51tvWHOE8Vnsgc97GTAt99ny1zQCDRlpAvQcB2dmGj7xtZBQVzDE71mUr/8YvvrCbB0UgPEKhbAfVs7x2mXGTvXYnnM0F8f8jU898bNJalqTj0JukmL9u2rv1IsfNY5xF1EbD/logHWXyP6qPurAn5Iyk4fSZCsm+Fia+j6f2fs7SkNxQT6+JbKzYM7piSovwN/f2rOXRqhlx/dIVZHIlbZ+16PSNTVoP0gngx3G1SFxhfr5V2FV7wPmqedBZs6G488Lzfdt90hBu4EOsvuaQp8FzRCnrn2DH8JOPZ1PoyNnTcUQP6ZKtGyZjDoF5elFrygnyn+cso+c0pn2hJvGurYgAglq/x4/RCcnISdVTCcbqSgEA+v/sc+A7yzPSepU7r72BzrwT8R0MPZ8Ge2c6itv8uBJW+vxTvo7V5LgjMzgT4hinqln/97B6/59FtEBQ+vEGynW4rwTfHFQvUiVT31uVTPPMocFfkP4GCSDa/vsSu75gbcd94H9jnNu8bsbrWmnbWYd+Et7bD1brsczMmpnPa2l1OcA68v+bRjszrTWJ+Ipx0iejufrmN9eGOOPtdjeuOegjw3rbgzBdb7S7uPUPanJ+zHd95I0kDzqhARNQK+p9mIfjpVEp/zMEmJ+Gv7BFagxhxdKLSPpnv5muuhdoDBmHG6OojEV0LdDkV7KV/neu3HHrd+DnxNd+06ff551367GadDHQjIVQ/g37rNh+UIHH+bWwvaUCQamQXwKpK7/FlFeIJ9l8A6nlg47Su3WeTREvbycp1xMXKePAFLUlVsnmzWvvWthRz3jo31viA5Ddo+t3UTPXdqePdcJB8sJrsqIGtb85uCXknHzNY4z/x1929iLcUlK1Yc9P+exmYu5+x8MNNazLrTXMSQCz9pDCzbS7pfTdQ/Rla031tHUNADdpbCJ+S5zvL0LdKv2dzKWdqZfn1pWlnJx5Oi1tNBO4PuWFFGIFGrLY3ajDnom6yX31oCJ1rDHhHAKr3VOx9uG0nzvSCeMAkFjLUzxFf7sF0fWIqAS3023Ypkjh/r3kwiAv48K9o4KAV+cE6HVjDIkRJzOzOtAD14y+OVyt3lWysu8rB8nwMwKk53WoRuNSfFQcKeGpOt7CHuhutZhPzG0F+v6cXtABoV9OeOH5dOur5eUkx2AlRKngNn4aBZxtRTjpKZoZdsXj1FmOwA32bQ9O+zZU8xjUA/RCRsAcDEt46WJ4jZ1s6FoMCH+Ug+IOs87F0f6CzYN2pU0rfzw0+AkXcZ/HWaETOBpqBy/d0B90/gTisCuAj57n4wv7U9D25IDHphTXh7byQS8Nmt7FGSzdnMntcPIukq7Uxcz3hv/TFTA/spNHnmGENcyO7Ws4NPqBz4betefNC2vuxVAjyB7MWUZkP45lGhGqdeHZcr2z9E3RIBh0ai29xULGYZ9U7FHx+iC506FF0dtGnG8Qri8psEJNQ8XNh50od+8tMRuB9odMCV9MBWYxNqwBoxkf7XLwXJ9XJMY472+fJTB+rYOGTPcO/X4+oqu8zhol3be7bdHDqg65ToGsgZqyfg3FaA/k5Z0lUdpVm+xKBHO3uOB5h+r4v0XoOma9z2rb+ONSKgIv/6xLnmoKP9UohtHhl6CPHC+q2VhRrTsG2BexwFn+IMCdAEiJIItFzYP2uU2nvwWCEKecz2Cm2eaaFiOvhFLfE268279vtV22HnSYAODZveP2cDuuRhOwIPGqmjT2JWEeePfRMup7Kg/4+pa1tulGe2r8TBpOLLEBAYGzkIHUB3gFwhIDCxiY15+t3KfM6/L1JTM5PEHFqr15K6V++qQeuT0diOdz7YoQM8g8uufJRuMtfRNqfr2+YYgd5c2/YUAk9h85OLBsQlshZbpxyTK3FlRKJmk/bABYaddSw0cIjeTR0sU0SK3G1jKpYLfA7BmtCSZ5aIlXdCqZntDNrP/6oK4mNAWzbgpOJ6x+zpz/cAsPkGGHMTLMmqd+N/Lncp91eGkrJy0IawbcAK7FTFdKzHKc8tLz+ZGTB8d2ucpMy7t8sJ1jL7mvkpkJCfS4fFocN6zcrVn/iKn57VX8Rt18ZaTC0/k3Ebw/8XLNwutTN7QihkaiWwpYn4rSfzdhmVLyr4nTe7AjcITr39srfuVllMIuf8zlbj7zBFtPBfTN7+/7XfcJ0FE8AbEPo5BWRjPGwgF4LuxfDup73ZF4JrM3NLSckJMAKyLx0vSpndptFvTWBFBv1VAbZlFvKJWBDj0vBD0Cv3Rei35/78lwQeAe8/g1xwJvB8qgi0jIvSkvoMrutn7+iwKlBIBw/w8BV40hXeJ8LSuW4qG72kQwIYADpOJ4CsM5GW5+YR+QIe9FKt8sOs87/PWlXGrCWSXbtW/efF+JCpwj8Az09KJ1uAwxZV/npvGOpYSL6ILu9Nv+R5rCMetpHk7aWJEAa+a6XDUja0ZZXmX7meHpSS79r2n30BWoreOY1viwROTlm2mD48M68OctoxG7YWNzNLYD3SQnkZ50HNZNWILU3X9gHXZLyM9sABQUvMvzNA07Fdy3/+lRbINcjfT9+e2cw0LCBvLweXfDf56ypNrQxEfmVN94PzeYOcVnJL2vs1GY4R2uytlgMn4QL4Qm5w7WtrcDrjoewAp15wh3rlkPKEsMDU4E75N5ezhnW0txNbdZ+bpkhKrNufdERuaW1TafuFdM5WxltyLIBxOIAXtl8ZroGZDkEbbFiAAjW2Hh62jnI5gvUxpQUGzbLdyzB9SPbn0Sqa0PvVnZmt9k20zQgHzB59wMWZHEUS4qhtMz495OhbEHf8RGWZDpkrC9+qY+D3nF+I82p6dxcR9rYwMwScBf7tupIRlaL7m4PwjlfCMzNDIP7cGD//mvq7unh7ZMI7q0HpJpwXTFGkIplLy7qD3n4HfQ7x2APGQm6xdVX3O9Ba0xE4F8qYiknsP9II7xqHzM369jcbzvSbAMJAbCTW/jGzMt+WrFDf2YCCKuT7JiDnWjPjwfRCmTnfnueSolBEWwQaXRJHS3gekQrVV8US1gzzteFtl7n+nlmcAQ/8mylZ2/KnDrMNcOWxHOUX49mGB6Hpp6wOtr9iS22Uw9OK6eXwuDqgA1O68r3I5yx/f73nDp7M2Uip9aNed3dTV6mihKccL5xjyGF/XgSHppMxxNPEULtPGaEqUuvemTwRTy+00FiF/Y0AZ1ADBtV3fVSCbZqxFWTgJQ2IXa2ZBbiBpTgv1N0tpWh57hoeSHzg4Ocm3D0xKuFiuR5j5dIe6GgMz53iA+Zkn427O+SQm7K0/9/c6CWnreajGqoCc7byLi/633cgQUWweMLKsnWqtTzFys65clI3idIAP/l8y1Fr9oZveTi952zCTTTjagxB97TD3jLnEhpXFoqPgjsiJB/A1VgTtOdq9e0Tb/0qkDYeLNBh2ygv3u7MmUHH6xE49Htlny3JlmcP3XTSEIlWY+ZrbSAjOSLiZxaCvg8/HVjHI3WZ2Tdv8cp3wLM4YB8HruOUnd7Vq15VNK+qaAsBuoyFjZ1Scldsq0H3QAxrJ42e8ziusC4QrXhi9oAeZMwAQ3cr6MzkdzKshVBqLdeTaAvQUfQ0Svh99sfvZw3J4RjLbu8mU84gl4sJUwe4Tiwz0G9j1mn3yJKwgfh47h+KcFvJtVzqQDuywy1Bu4ty8IGM8HPcD2l43eBVp00+dxX3S3gPJXE/nXTVnpkhmRaTb+YicFteS5rdFET7qT9fDo5ahPCAy8knB9io3r5Ke8pxpLgo9JUz+OQOcBvyIMShzkH3CppAvOJv1c/7E+BO1issekSYi3en4fWuRJtU4YLzLpmJnfAc3rUI/IQK/sUD/TyvLCH/mfqNO6EEuByhgu4s4J9mxntrPOD37uT8t9/+QwYSHUPbrZg9QO5NqZ7OdX+2lStRA1ynFPfVzBZSscLAR24kmsa987e+diTfUjzIGcdyAeTcZE6zQJ4imdaiMX3NA9pXZs4bxD8eQZUgYuOQCwbZoOGK5XZiam9vxOI+WUGb9RzJcAFda6+pY3ds1c952UtqsxvgspRW2wEPAF5ObpWjCY8mQeJkLvXONd71zdfrHXe8rPtss1+1UP3UkggFmdMOsvcK7ny6WaHDjJIj5LEiLVpNI53U76/PPg6njiBGizaqKAGWB3ivkZdB7k1dBXEBVxJubNqDpjR7J8VUNRb5UZpntWV6q2c/Z/iSRlLko9nPsxmnCcTA8kKpsuA9w+/mzz4OTLTcMzO/t0c74Oofp1CfawR8qJ8B24yv8hafvuZbaXk7Rj/XNIQEJhJfOsu5ifRXHqsO1HYmKIb3bH8BlwTsaidJNaz75Lcf4o/3svsmG7HDCnQsXRTRh+mp++0TZWmggTNPPA8Bi8y7o+kNFy3g3Nl4qMaAP8ZbyqLW1ZFUHmpd3swsU9lrwihJIZ76SvfPvPzBY9DXZha1ZZv7PmPKD4LqDjjpHhdvDugB4F1Simi3ks7vTW2O8RQnMZcKtQV17Etuk4qbfm7nblNUOpWL31Xw9qghOhn8/blHBNdsQwwiHFm2ErsLDXgGPPKnchVoHx3DNb40XKd4YC7EwMhhLZ3iliiKC3PmR4BDmlnloJlJZrM1jXGUMebmVGeM+nZDydML7qMak8NvLZjLS1hHH7Vls2OsCWB7D1wG3v3uwh14NlaSywjWVA7rJ0Rm6t/HweU7Vkzf+eBlp44tla1j4D66Hma76jLzue80TJ71oh3wIaSc7QZygg18LlSDNBjv52vSnQR2akd1FWBfGiTuEXRHjvDKrOSQmXnijOSKT30m7BfOSFKNeskK1afAAvI4vFDa2sYv6FnnwKjiJs+m/eLmQueNM1FYl1MpyDsV9h10K+Ru5mbWImCd7djYZkr79t4mGxKYnkxl+iHLbCUitVLQg6kjuEpAT11y0F+5q57nDlWlcVAOc1k/5qBk3k/lgF4x3i9um8lOpczMqUCT8YK4QFwMLFIvpU5uxNZUhWQDzyIHLrIQpr9rF/JBGC5S670UC8fDBLhSPvOyZ+an5Lx3QYeG0toan+hv4MyMBzLPCnRVjt6BbstNj0NuKcpHHsI711WnqlpDEnYU5FpbUge+Z5V52SU/nO5cPJBdbYGuCv/6pED7IS9nKv/1e++J8U8xPlNH5TAPYqEFPYtL1lI2slWOkjeFqeq3C4Pfsp921dd2d+T6SlZgmKuZQ5U8UlreUrtZARMssx/83EvhcTsA/9sxxF14tn0eJqjqvY9aZy5dW4eaOlXH1DSjMy/I5SQIaeKzR7RpFsCehPWfmzyq1VdJE6v55Tb+CzOc2EF+1bV/Pu17l5T5qnYVD++ncPtSsuVB3V8vv8cpxl+QmyXEWiaF/F9vRdhfmEZBE5l+F9mWfeOZ3t2GIo/YyOO2j6pQX4ilf0zf9hPnjxTbzEkdWP9HZjcOcChTlu1I7V/SmF9PzPMbpv7pK2vbAm/p2LD9qGOfgmZ7MA3YXqiPykomQRloHQ9hp7RwNGvaT8b3+Nnv8DDnO6VWgGvkofrNnUK+rR1OBCB2bnHddAmTQ2vnNrIUl0fqvC7Albo83CaYQf6I8dXUOJ4o2+CIhPBZo2DKz3jpgY6yyrV/Yq9LQ6IrJBlnOs4DpfOO7+jor3XkcciLE+fJhyySrkHkJeNmLoM6qyJ0ZReuItCp8R7Lu+ZSahKU+vygA/A1TdZKeKCjvYoJ9dw/dLEDSNcnGxbhH0nVhuvwciowowzeN0jnmm08yF126gD2xnysWWLmDDq5s4X1c94cLHnI2Oxgq82rcMZ5XD4yM/tT3P/5bY9/vbeSBc2mcadJmZnzfUIg/xHlzCQHkmp8ypTTbIwPBnnf7lnEy9LZDgRYbxruNjUiFyHYChr3wTv9kP1SMmY8mO0X0itkfCvJ/7jNh4J/ry2+E2K2KsCoI8OgPdUIURfnndK4IB+gVbCZMQP5nWXWnAM/FrkzAy9dvJwnE4O8zSPvRsys8x63xkewHJDZ/45P0fTcj7JPcXIsx5134pArLW+hUeqZczwceQ9l80teKIkZ3JPWPyVnDypMj4ZEGWc2tfW7EmpS1usjHVDI3XDJzSzhgvCG7jw1JBYdyXPP4Z6DxAAOf0lDNXHb1GkhlwhNASfN/GfgNbxnDDEh7Avj+qPRk0WKZA9YeGQhDgUibTUCpvXpCrHs5z2R2bBMxEETd1RGhvl5dmMplnopTySNXi90mNcUuGoK2obGWFRGR5hZnyPZwboDPals6eikgfij7G6fIk8DFpdGe5Axue4f25fGmlJO1XjiSS958n2wd38z1Co7u9WszU/j+QI5wpHIR0JMEeBMng9JDLiCcz0dAIty5preMkWyfkpzoUzfnJvGfrS35TmjIWi25paD7gJ8TXLtByxMPOqop/8hxIxy/+0vAQ+KTI2c/lCFX3HrHyYBFu9TWGuVHS6VRTaQa4wna8E4P+fWsjG8kAzqkI0+O1LyUwks2WNLavjXxk0Sc6753I9qHHUk8NwZ6O8a8gLv1Udm42uDzLwIDBqhHcz8IdABwOV5UTnWw0yhA87RlYD2R+TfQY+jdES9HJM76fU9GxTgyswY49+cyuf6OgBvWXisaG7mD0cgRUGvkODzBrrsAJTmQaPkiCNusNSjYgoB0zHEuUuQ8adqLdzhK6wDeGbwfkf5ktIWExQ+2KgLpoF3sz9fEYdr5ONQM9CLP6mzgayTfB1WvKmQBqRpNqDPX8zZrIogjbnK27ufG+DIceVqjq3zTXRowF/bBXg7p7wtjwXqajEtOZr6OsaP/LF9cmzjdQiY5It68GY6tDovkAAeeTzRzwu8K59qfYAnbnokfkjcamFmQPaWmSkwmjPDqrdsqZOKROeVaubt4Xoz4EvEnCuJqc169DxDdE4hvpleoTpOHyLajnXRb+C+YryWKxm8CDtbDev/no/6mFv6DM924oPhCZ8X0MqdjJM4Y5+OOZtiZuZ1kdzN/r7k5CFD+Xt28NyPEkgJbvxLx8xToaSVc7XyELdCkz0Np4qKdm5cnfNQFUzYREbpCjrN+J5OavS17NKLjM93wDUr7VGnwu13WgDfNnE4JFU+4mcdEZKx8S1RM2ELAW1szn3gvvE+szg+IvR9GiaUjZ93WkyUws/JqIdnYeZTmlnOxofbL541mSr0fueIZxZKM2exOPdTwtFfDSdldmU8zUuuqYzbO+HtLuVtfGSgy0M90MGDHF3ajeARj5KsQfoDcpqTxmdgJ8ABrfumFl5KIJZOsDYzy/7OzbxyTYB/GO1yf9ZU2NXYryrWVHTyw9S4crRbGkbuFUpGMdix8b+B+7aaoXe4s+x5xxyIyRn06gZ4kSsChXK3feTR1TvpKUxFD3yYmzmAhRjJl6B//ZUUOAUGxveoxrdbLjzIgVgwbfwqcFL1DPI+6LJBmbObAnKLwwb0zgF7WGTOwRLQc+qDgc4m9iSqX887ZWrVgUNPkA/1Lbf9p9Yb/ubBcj8kApViUB7V/JBqUJYD2UOu3VcWd2uBvtTQXChrN4BekOO3Nll92qAkZd3vWQ1gUAIcpM3gGQoZT8MxTiZp3e9/HCAE3hNKiAM/ZuPUYeZdKKwl0GJBZYGODo0HnmbAewMu5uQUbXNuq/2RTxsRtp0YdF+b+ms+3YAfmhqBVRZ4yPr+DoubAq7+7femTN0b6345OGdHjP4GON2mCpN3XoSLCEETd6CjQvKRr8DbudagQuyy41YVoY+sS51Sm3mU04OsxNS+zLwAzcYAo1ffxKUW/zsL+N2HJs6nOUcyMzU60E9BpqdWRHe3js/2aUhesgdoJ473p8G+Ze7OEYO8HqzE29voKxt7u2Sm/h5pQvm/GifxemcxT2lHLinbPvfMbXPuTy3rdgJuJUbDG+aPjPMxH5HLedueCogt5rlYyOPB8V5AT5o5DsbP/UuZfdHYD0/cPygnyU3Or4DT8HhKGheFZcfWPObPtXwgoO0B/+BeyRnWYAj3uNTWxjF1Bcp41FhegiOT09vxNPoio0nPuA/5E9aGMycS4gM48SLRdAPetQBPcfYrGXOjPO3f2qxnn5QjKCHEVd+sz9xm2Nr1KiG+CIWcV+V28k50f4f14OSrP+Qjmasu6ZuhdeRjHkCfJoBX4sjJ3LBtJ/PtnIaLyfPLMWzdE2hMZj17EOZz04M2C5GTgZ6nRfo4hotDB3tMi9BjY3I0Xr90fHPrvv065rN95OqSBjsHYgOeYfuTuswSEeCVJY9pv0XYmqYm9PZVgOMTaKW6kPQZ80RsO/E+7zE8LYj7C+TV4GADO4lRSwcUMEcPFSg8FWKIXwU4Ih9Hqu7yt27vfFOjet+vusjGyQO+dcuEJ3ObOyemXchxMyuetSJX4MZXs+fnpahxWaculRVepFDvGWNOxu4QyxwBw3PLlWd4NZ5eU6/Mvm9fwruZr6XjwVWkHh0Tr+ohZoTiVcex7NVqppqy8a+O6L3hkEdE4oth6zWOtIDrBRxYPuj9qOq5rHp4vzoxfPsG7yI5MWU3ncqBM4AOlxZgzq9nf21nVsnRnfVtkSP1MDNrAeOx2dd54mG2ylI9tpyYPnEHXw8OH058stMotMpffDNewklV2ZPPiiluLJAOoLthXbwzJv0MOLvqeQuY1MHaWCDiF9F9OqWtS9Pj11jbZ60ja5xpJYH8TpH/XoXnSx0mAw7alvbqtyadagW6oJ1pfwc+kxyzvl1Mn+0xROIE77d2tq0KQ6fkMqhtwLOwvR0jnuPxDbhQu6sf2+ce7J5zPePBfj/G00gYoqC5Ufo+/6Th9VFF2xnw1Few7oCPvtNw4QrJtI4yj4Kmyfotz1xQOFT+NF/zzzHA+KT9FxnIjPVzAPzwgEf158MpOfCiYjoar3HQu1c1wE+PZwu0yKGx2i8eo48Tkpu90xpfp4CGGwuP0w241V0JfBSonUuXHIVo13SV0vRmwTX4eTT/KKp2Ujw9JK+bJm4rxbiHVwy5DaLHwe8iNPNqzWQ2PVEhv2G9gFb1j6Vjy2owdSeTmZtCgOeZnqVrWbRByhKRB43FHRyIPnkHjbMr9eRjtjx72zF1llvWe1gUKqkspYml9kC5zidmdzVCVl7Ir2ZYEgVaq+Yt6Ay0mP0+M6OsGSZPatNDy2Vjyem3/1z7X4KjPQNun4mZVNp/epikrJCgfexYQAzhwAcOGd5/PZ1Ab5zGhKZFcwNMyFJra/QmV1o/iJk9YW1vday+KcRITo2W1/fGlt+QwwnwY54GRLMgfNSwXp61qWLcLRmgRw5RqobfWdubkmFUWuRs+udOvW5hLR0gVzu896bGzOeh/iWzPAT5ZkMRWpWLEOB3Bc+HYbFdsY064BYuYEBIe/w8T9nQXkc5PA/ShzYP28MJ8aLsJVFBe6N99m9veZjMOeOxGaRreknqTl+bfjvjEJFakBHu6R2DlsLj+VHyxOzbHFi0cShq7uJ/GhYxpz3KFY05RTe8ykNa+FNjJ1Mzhg6sS8AL7pkeErUCsRi2oL/0WAX+vlo/b7V5X10SmhksJ6FLYm19RdE7scIN5F1ysIkFz/Spv2K4T6vU5hwrBC21BL/zHXRiMwH6zllS8eQ+wguVK0caMrOXRKrQeynX9A4wdDQOWNSyWbUCv+D8BfKJB7lWsmhyRdQ+Y946rHyWpvcuItcTSFzuQnxY8sqGxT9Ykwv6AbQI8P2AF7wzs4izTem0N8A90K/8XDnYSy3QGW4yQ9zYlUPOMmDr7/cX2Ntby9Ov8kaGZRFiO1Wj70jIJ6dhC4SxjRuRXXLg35Sp99RFZdmpiiIzi2lBwP3O1C0v7DFXfFjg+lRMkJL11/zB81kAD9kRHtq5VhYv0NPPnAP3SyBLv8Dz3TA2/0iNbeO9IVfpZJ0cf+vJI/uWDhZou954o7vpyh6lsG0aQj4fYZ2NoXuiCsMnvps8iYG3sOh+I+/br5Lj53y9VfRziAvAGas9m7VZI8iKAhXYlVndqxi7503j4qEJWkiFujKzNlI7dbOheRwc6yIAkw2XqtiM02JK8aoO2J4cNWKznziZfq//7svs/39AbjY97R9ynD7y7s3hwvJY11j/NOjOBs1/yUZi1V+vDxaWGxKjB6OtxwZTOwxr2EIb+P+WocwxcxrhXUBm3jgMdHljt8/ano9atD7ka1bFPhIFcCy77ZtefjQdYmaGXG6RvGReCOvqmNE3txx0xBhpTc1qafZegFcDJu7NWR2xkJvRdqwsArinZvi3No+ePmbXRTr2TaHWbdiiQUki0F6QLxRoEPWSi/neUHkmXO8ynsS1NdEsB31vt8Dr1ZCOijEXLbnIAPMnXgqi4Ro/II8FwOWKSiMzO+JZewC5aZ5LrpI6ut6ZTagMz4+6gDym0VUCJkKG6SDH3Mpx91Bdv5x0cgT+fjNe3/VjzlMb8nis1lzYEtbhvuwJ57apWUv2taVAEaVPrVc2Dlyj3WY1Iz7Ex3s6tk7Z4eMp4JMKfPtEUYALjg/25AInIiS0MaxTXcNaOEayMmey1dfWSdfmxkJ7SQdmA9Y4FUs08MuxouQ/TXS95wx/wLWvRoOZ/jFJ4T44cCYqkwqR7wpwRwoCsdUsxOb7NMQjxHHOHJTnFuRqW0Ku0R8kDO+wbjQbm4VG0pPW58IDv+IsfHKbHWi0CdbyQUZenjqhy9G0b9a31ZwZk/BuZ7810klOBp7nHclqe7dUHa5O0dT+6kzgIPh9fhFj6lWFH5Sjf8yR8SfCYUmlJE7z7E/JIXt41H27U8ecmRHQRNMmK9CsBDqzvnRYbwdN+Ho5Gc+8EN5ZtG2B5xHQi6zpTY5sYxJAzINulbamphYw79StWZX9r1cGP7H3R3TJlSN4pzw09Sw+vK/wpOG9W+fNwW0T1gGnL97WaiTfwB3udageqZCPqmv3JSvt04gSUkxjPgCehslIIDdz18w6mkdiI9rwz6d2iATfGdw9QyyDimPGn23fuNqj0VwRnjzqoPROBX7kFrbVuHNOKFvpsD3XhfGxhXUQmP0cvdaaL1XANekB2wd7IoA8jaV+lCBP/w3g8Bp4C7cAX65pPqPS5bixlm8xtuNhlflJTGUdSFcaD9dQdf+4kP19olioyOzDyV7EoZeH9r1ygLe9b1kJ7K927G8Roe/KefbRzwfgmZiJOcyZTJj1auYEBkpcXbjPM+kg53LQDuGETgzWbL79kJQkTCSdCpIP4BR5Tv214coToQX6hgy5A7hl/OxHlclA74DvPHHjvnds1zwbupZuvZLvun/dpGO6SRHRNG4/cmfhkCfHihN6EljC+jBzWj4o45uK+hqzqUipzHintemlFHT3gM/YlGKbHiwvqu2/GjN5iuY25yQ3+qvsP+9CaMliFFFxXk+wdo9ouuN4WiXyYV1IM5fnwOzEN356uL/bqTnviD6dU8FcFcB6jvAIvMdPQwJ6JqGmZuO/zyqouN5hbQJXnd5Z5Ang9oGAfNBEZjaAvFeP2cIO2dUO3zEH+7RrM/g9BDBpk63Jrqa+x3V7xT3wVZc5MpoxMXrd1jHk0bPpZXpilOwkK7s2Bn0SNa76yeOzqd3pTiwhMkA/QnibZuXuUTAbsPWHdQjuJXmQDmIFchCFK0/D+WVvkwxH04WYvUOGPKrJN2jrY+OET4+g9iikTB3iVQ4vGWgbc9amEDLnxT7nE8kc1eWjP1DEYa1I0+e+wWxb5LAeyzW8gy7cZUxtZMjNXuEsvuZBdDiCd2POBDZqTJ6fFTT5FvMoiUSg7inkgZQhzvSvz3qXI9QLTlbQKgUuJgd46IeZQVmxZQdcgjTh9towLy6tZZNzFEsHfavQzJ3gEodkoc50Owr9rJE+ZD3wNYG6+ter0ob3oa/lij949Ht+/Kjj3pZO+5UP+OsA98jcZAB8gd/Vnqse55JCbnXN7I9PB7vJd07lB+gWPwccrAs/F0I+z25g3dhDSlUE+etRUj3VjMOa5RtK/Q/VoUOm0QH44PGEgMebWdAB8J0Bv+MCf9AefodlmTlVxnv+LiG35RT3qZOthxV9Z5bdm3z33LdJHY/uV+BiAi+VyeHCYxKdF8qmldoTTgeZ4Bz4NTzHtPh0jnw6noazdbCRVfXXG6gg0PH6nRlNhZLLMVZH4HzfSrRCdmQD+P8816u4Q35A11p42HiVO0WnHs/KnCuu0s678gZxuGuG9qicDPjjMkvG30+j7x555jCUQM4gP1WQtKdBmzrlKC/ITjJ9MR4kmH7em/HPs5rzAJAZ6aAOQVcG7Uz051rZSVKKRAJfD/bWfM6sqwNY1OeMPyqB83yY88xK5jwie+CaO9BMTmbmUcRvS+NmkJ8+Fwy6EbttzmL57CcClEwXU1vHHJ1nbHtWjh0xAbqqR+go+gtjEyPWnANrfEkjRKoBW1WoUDW0UsRJgF1kN+FmbUDHA89JRf7qMWf7Xof4kK/JxFf05IdwbVuqXBXyqH1kzoJAR9xxpGNzlp4KBLwWCWbqLQK/wB3+TmPMTK2iNL1t8GX6NpiF4T6n91y0sVz5d9aTtqaJdyzIV8X9Z+3BuQKtUYU95LDWrZj8yhEJT8AViUu+SsAv0Cx3GZINHpJbZnOfWzwtew44db/ltrynRcIrB7gc8JLGutsHZ0rV13ZDQ3zjDN9r7T/PzdvMQSl2p0tO27J631LC9AzPQx5jf8Whh0/D1Tb1bnDP/3k6pQ8gLJ4U23cZbTPq+lhBns94W2aPLTK9lmXvXUxNLPCAiEW7p4fJnHVE5xp9c6bOMpRaxv4ePr+qo7k88nBtOg3aG6egqW7EsoETkDXj+lsINeG4fWner7cTY95+bc8UNAkTryvkyhfQjwxyRIU7/3nGkWFu9NZ/fgDG86zTiAp7AR6NVMwjZbwAHIjn4s0pV95SgQlBuxWLeVCFP2crvsH32ZzjiVOfyQK4YYg2eTSj3NkiaeEnbtyUJntpybaJ9e/8hiZQP5S3A+SItI5xZGYjAX91AFdzwDFSFrISrC2bfrGMLzLWhJUiNT0WViakGRPxAtF+AG5+oLF+z/u//MV+fR6Rr3Px6lAxMQrPWrJ2AsxdICaAcyWTYCrI+BSC3kSMT/3+sd2wSM0pNz4Fvem7uNWmfi2yDUc7/M53CPjL4XG9pI/X5/wUMyPlpVp7UFT6Dp/zzljyUbMZdNbuUYvQA262U8N0S3vPcO8r5NBSceMR6gE2L+kpxHtcoDFFb17d4QXYjoddZhGXJ1QnZT2cnxwA1kDbq95y8AqKrgd9Cp+jRPJBOPF4x3tsy2Oag57p0A649khtHtbwnDPtB/v185Y520GZnu3ut1YSXu7kwnM550UL69Q4ENlPPwf3t2YzAqIckQs82w1wAZQxNNUuIdTaxortnINt+tOmBHjNoezxkbA7vJ83T4Xnex5OuxJ0sHEtAm2BBX+zgXsdYc0gOSaEFfw5Jwv0Ev4w9eeQ13g5TB8ZaAtum94ItGfDjCvn6tT604acQbNe7iFH+3TUm2M4l1nXA7fevtMgWwA3ccaJoCOnkL+yekQf5fB5aSAXPGNDCBQDRfiGtQo8yj42wKVIuDWzVxLQ87Qe7IvQ2lf5fAdqMbGe3Bpn/jBeP/TX7680s1dp1fktQdMX7ZfH0fQFRZPIxDYn8Z+fwx5T9AG55ItZUwac9MbN+QPn1SnkrvGuSQFb837yM+NDjkwuRDRzp5aGSAIWOqk1+adQ7zHCceYkpKF+BDnlLlhi5rLGqfuMjauXDQtwloTVEWBXoEw8uyexLdQvt5JXeJ7foOV0rVFOB9VmTFopbVta+GlW4AnTpM9RaLEwu8Fzo8oJVxJNpLQ2ayWAO4rnfu/1orrdvY7UXTnSmJsPJOCgsQCtVvmRWWhNQ0jRMZ9lnFCzJ56GUsJnHgkyxuQqL4cFOL6pQ5mJtN/uOeLGxxClMU+F8aXtt886vegYgYYtiIedzDqYer2v7UsK62rvmHO5z0vl6Ag0+j8vJJ1caT4PeeD7pwLdQasZH5e2iUjWhDypQZtmrh/mwIkZqOy99WoBh37uVU7KNrVTqmjgPZh9+FyTzRGBfmOtyEGTmzrJzHj/P17Xxtouxxg/TjFwHOvsmN4THJk+fpscLPJOLZkC/3RSmuSnCFeGHwB3fe4D/Jw6dTyF5k9k+tp0pfm+FDpnA5D8lWSVjXDV6UcVLjfjVVMaT0DjezAaT9jyno7NozZ9CzpcGlhTFWj20kam1+wAHOYui/NT613h+V1VYfYnZl4xbvLrJjXnNV8zgVzjC4ZYPmxzwXZeOUitCm4BzytoWN6AlzsiLlfQvi6s3ah05e85A6PlQwVvl1NHfvbO5/Mc1qpH/H7Ktyt9bH8yO73Aqyop8HEemD5tuO6huSvWshopgQfAU6tNMcdfKvJux5B/VKsC3esDz27XtDjbskAvZlbC3vbtPWDvif7N5NJNgO+0MPsnkMe6FvRp4gPPPlRUX+pRYs4/7bKXP3iAZ2UlfsZTS0TnDaPEN/7/kMuD1JjKM75koMUqa/kBrTJLZ3k5xQAlwnvmlF3F+hVy0L7pX+9VIac96Jqs5xHoeh9+n9nfcH61XCAFxJjZsy4xxZbkbwvo2xby+AbeawRa/JIG/k/N+g1x7A73zR10USfjvzq9+97abLiFZ7m+3ejof0hL6eZrjnCYPIDjmZnwAfDZI+jfNev8RBYKOCGPM4GCUvvU1H8L5H9ltPFovPOaAR+V7X8cA+JCjoXfPT/18o/o/F4WO9A2kw353TrFksioNPOQptzhgLc8g3Uwl4MuAVcPOSVVVZDjKSI5rCtaCu/OuTL+EmnzmEseSR8w8EDEcqxM3Sist2edHoE0kOWvgH3JO6c96Lr2CPk5+Z31bm3D2uWpCoAXDsDPxbaXNqnM/vnBlaIKQYN36YMxm5lnm5t5gm5r1rcUg36oKH2cev3kh37To+EoMKwRJBT3RwF8PR90V3eJ8ay+l33qVvnVwb1GJ4q8yjZzcokP13SjPehseEY4QKGMEBKDB1pfDSrQP6ZmUsXwPMO/WX7JqTfe4fiLxv1GgQ5Kux189+sdw3sCbmX24w+l6+/x4F0gn4DmPLu0nyz4HEyFmo9BMhGbtKCEb1nRAH5rC3jgi5kbz9jWSofr89w8Vhy4nDD3/ukR5gEhJz1ojglw60bZ9psGvi3fr27pbM28DeCmrw5wuAR0wZJqTJg78TzAxzQyMz/bkFgLFRx0j2MtxoudR+jZG7jhofdCLS8BnAlrZ3MDzcJB3/lV6L2fBPAvkcTU2eo8+vy358eWDbVel7RvjEf1B8TgDLnVzOX7qCE3Qk7o+GOucgtLyDVmb/zJoxbuvln1MHcnYVPmJC+ig3UxLB97y+jzEDjfvKGcxNmQ9GrAdm6meZg5dAUuIWYvsld3bjz9jd4qWj9jeMSjks3arCJ+sxs2P+fdAG9BXWo3Th5BfPSWZ2Z6Gp+gYwj8WE8vdX/2ONVwzxw47PRSUpUd451LY/5F+iStg53Dw/nKKbmnNF1rVroY3h9oUZ8g//t/M02uTiXsIlv5nq6AgYJDHG/sU0EyYvqxXZUdYH3QWM2VvXMbeAXAmQvgBj5F5L1hCSFuuUgKnHpUpp7ZbQTgmDNdBAcm7J5Xyv96l+IU7VyJyAKxaaUFP5+AVFQjtmvItcZjlw78amoYpWNPJVOyZOSRjTuLGJwNABOdHmKF0BRhYZ4j6IxjyTVXbsJIiIOs/7svK3V0ABrRYSJdTxF6NJwYn7FpbyUst+YvJraTinTAVt+voySG654JxWcZ83saWauIUFiOyZHC9dTiDO8/mahluaeY2DUt14b+9TvwbEXfNeiYajCzp3FHguRdhphUKHkBXgIqKXEzC6+812dlzcic3YD2P1aQu0EXdictDxydvdLMlEJJKEVvZ2JnyQF4LMdezv3iDzecbcnWFkQDaGzH+FNtfyD3jTggGA/kI7VDl6LkwHq1P7LSZmZPwOI7riczS+ALeNRL45I9i+z5WMhH1meWGNu4LKaF9pAXnb/zlJys/pFSfq8Gk6P4S7mio5mdl/bzO/BuyfL5o7aWW2b02aDbUwx630YxczXlkfHBxV2OdvdT+HrJXd0zjt+xtbsAl5jJCrgQJk+td8a9jZjAoYR3gDtdylX3aYAQH0nO/vMVAb0wK5YB3wAtCWuXGr0O+g/4uyd1BvqGI3jPxu8BneLdYjxpj2y68VV/Caafn5XkozwS4LuAvbrqW5c7S8T52VYcXYAjWszZPuB61/z3fAdiz/00c+eiJlYexLPzWz+PUHBwGo9AHBgvscqyr5Vj7xuBboo/PZ1mYNGAP6JceJTI3NEZiVABPHiHw3+60eAyYFoLHGGsmCSNg1PcT6kwvdBsgedb3tm7qRuUEu4ZcEJ+V2zr41jupZlLMTzrsecdiad7Clr8GKJWmv2o3p7qoLWqIHkpja+M9bo5Bp8QiTg9BfyiXNPDw9HB8vhJtHeF/EWOMmFCfahwOkqIWBZubtUqbwrwWPLPZ72NPhbGnJR3gAf76ncGJfCgAHJ4XHpklPGJJdeDOd+NZEfsCfQt/6ps/l3ZrXsMt6HqZFlS6aQ2IgLwsta4qu0JNZGZd3h26lU999mM3zgB3vBNRBISJD0+vtnMsefMOds8nq7lb998u8s6iLuv650GbQccn2QcbSTXtnQQKm0J3JF8yzCxQZskgL2ittE9t+y4cfWzP2WmZkZgMVEF7yUV/ONElZlnfTOzqeWQmFoxlMc+8MHzvRQT5BNvA9iFalOd5WB8Csg36Xu7oklBnPlu7hvy4CidFqQm/2gY+X7WwLAO79J8/saQY2vr02vEVosId3WPQ+bM3zksGOAzuHHaMLXgfu3kbDy+Um38S9FFrWSX9cwpzfl3SMznZ4fHdlPb/INErZnR9ecPwF1V5V2SEqGrKm5fSI9wyacbpQlgzbwvO8UZU9+AKTcs2phGLW0CFOSBptT2SbMmP7hQObwD4PL8WFrzIrSf8PD6oCEBjnx+cuwf0FsvVYxLopWnXJmmzDa+pejgeDGNEy+z5cLeXwGn9Cp/56O0H8DbdxVPSkBJD56J9zvnJ2KX/Qo6moE8d/ACf0Y02D1SXT73lnkTJzcSkNHUwFIHm37L+N+c9jNof8h71nYDfMh4Zb4LZgvGpp1Z66k2tfX8ehK8PBWt2ZOHldQYr3hLhPPAhqnI+ORXLn/6VFwyZwa+e14r0/8ufr3sfv1wYAV6dLAXzKf2r/cW1nFmcWR0ObAKBwsC+rPN4PPEqZhwCmtO5PM11Y13zOfw1N+NR8BzfRWqmGzs2GHZew6s4Z0KPu97e3KBs9CGXeEdIyqtbYtX9XFw8dqMzGXu2ZH6vDYxH0W47PJeERypILPRBbT7HbP+XnXKgpimZSGf80ZlTbldjUlW94uVUT+B2G+Bq++Ujb+OiORS2Gll6uSBOwMGhcqxA2m1BA9TnjH4HXab075fGnP2JrapdHSvgMc3xpvGSja59ddrVvBIdaDbcRp62PTusTAx3kdfdZjejcdl3hGiIP8eHtcH7tJLSjVolrfbYW3uom/zo/C61FJ5beb66ak7vs+s6smmZGa2MApPnDyxd88GMgC2eyXoUXgngEH4SLvekabGtmg7FsA66piF3c8FeH2cctzSaBsT0BksmobKUthgbx3tbidBKhIu+995Jz3aK+CWoAv+5ow01uzRUFXU8TS3yocEeIQcsYM4/qrc1E1t7R45f6edP1XW9cY6LutY7k4IlIlQgWD3CzBC4IWko6sPSggXuSDzwUJ9aXkE+NBf/QZgUKTY2SZjspF92wuBk2OY+PmwuTEbBH7RxqKYjPct8B5cAlfZwVdhMMnkGxIlVepmzn9/bwkiNxmSRx4lhPfW/cTRk29MmLV70fNz3dvGf6YFbbaHfHfFETxPl4+mh/MYquIAvL2ivXVkrb13Eoq1b6cDZ8egBY7mn5kI7zXwLs7apA5tCvznUApOmsfrX38K7W2dOxnkUx4CBtFTOL9QjVwZbu9puP23/z6iYza8esTMp/s376FvQu+uOtNLF25SM5M39A6GA/3zOLHJiWPaCNDGAf/zJDwZH2jhoUaoHO4pMR7EDdABFiNdI3gWMefE7R2F2huJzhdpajbMHPiIj0fAQMAuVEXtkvfbd+KgkYz8K49KR5ja4GipiP2sgTHnehzYfFLhYWPX43SDeLN5pxL1mB3QkKauEnIEtyobV3sH7SGTpPD9E471h+kBBdz00uK87GE1wf958mu+KXjGkl29usic0p2e+YvlpgYlni6mHpvH/ovxKhfdm8VGPe6dbEM7XpB+WxJuZu7ZZj6QRx1EOVUfEBOQ03QBP/ui3E/Tl/5QbJuf8lnkhS+MppW6ffY73Nlj7miRzKcAT2SYl18O/D/8C2kBedtK7nQg9sGR91SoFfQ0Po2NBxywZcXbpXLRg4f3jYjJe2qZPKY3MlBfmZlrFtrPOgdUM/lbjwb45NaaOXWngbOZfmt1hPyX8Ig4qYsYG1Bm6kQg7lwWtrOp3UlXlWedMn6XeenoY2MlRV3wLxn03lHcQQd7Lkb8WWdu9vSOIkZVaeEzddsMsKBLIaCMJ/Gx0AMV7VcmWtCPagHtaM4UDc9aZQS62cyUd5ZcoHaPtdxjy3g/8O+sy9y6M7Oomoc5f3xy7CqaJbFMPSv64Ny/SUv7PFYj5OjY1N3xUesaMB1+vw1LyKWrshs3oWncJvB3yCsaKwcNOU0AI5KKRpKbulr4ngsGjJSD91dnno6tXQ5eqsZpysfppzETuBH6UUxOJzb3oJVulSVpyeGzCtXWQn7UPbmSOPVqMRscecEFdsVoaiXY7RiSsimSvfGMlVrfmJieZ4g6p9mNIXIkawI4N/VHga/HMFsaSxKm0ZV2+kBoEpr+jTrfDrXFH6WdPVicjNRKopyhqIlel5rqCeL7A7vJyKP2qljrVzYam+jJD69O2ScZrM2F8XQt7Sk60TcH25+WoORAWeJTR+1IqM2efoJZtpFCE17IXf2YdyzQQjm7G+NqzXqg2cz2jlFoasKYCu2dEFt4d/7znAg4XGs8a6SA3AYYVTCtMxrogIAeyKmPCUre0x4oDJu4svAjjRhgf2ZRC4XKsvfVqHDGEMRja+ZpmjXzwEPCyh6npEtvLFr++mFBC+xxvwCm+z1wkaOpX4Lc4NZrUhzjBEFOjxuHu3khz/DzZk4Y8Cw0Qp7WTZwZnj1KC35n76G6t9wm3yayn3Leka553865Mz+5TU56/V31vUNtfZZW45m5OIImG1gb97JrHrzQMh3VV2PL2dQwVIIPp1EdlUN2rOc5XfXE1+R6RG+gg69u2uFbbalZ2e2D8GnHur/6wz51eAk6D/hWa+rmyhOzgEfr/Bho06sHuL0dKoH9NNKtRPjXP8rMZaDW/A6aKM9XtDG1rjhIEtBlCPQtw3H7AdgC19hazfDnS2zqnRYR8NsRYlAVbAMc4sD4/z9TbAfj8UXC7RXbxMxbvuGQjNScSQPaViHoUQ282MqMn/+c0p1lvEiMZm8QcFL4rmffjTT+GcDxQOOh/Gu7Ad3zADxMjzGu8iBzyYos4CIr6PT2Nz9F9jmz9V0J+6ehCvIUge/DLgW91hR+S0BDqaANqTuNeLBbHv7NAf+onO03s5Z3OaT3ijVLZuH+GNl57ZCACd3lfWLmVJl9P1MrkjQIrtdJPk46BI5IEuP7Bjl1k/f6Jmh7YRw0HgqdNMAEO6SqneV5FgC51zY9Kh8i7u089Kpq7Z200FfZo6C2wk3GsZnTBFp0zvNw+8OB1/B1dzkW7ZCujZcKa2NqUTF9u1cuTnCAv1kkH2bWNxtVkYd/HMCq+eTKiAPf2orM0nbqSMhv3KkF6XDMdQ4xCNgdqwKHVWFqSFpz7jbDWn3BgzmHIC8stFzI7R43c3F6bNWh9wOoaEszV3XEf3o5G7WZO8BPpu+fT7nZt23e57RxiUejFDS/ksp4FBSw1FZ+q0dgc0JJ2S/X09d1Q4ekJe9mRncSg2a+AP61DOmd0uGSdukj0/zZy5kxhx/w+ywAm33IHeR3BgKXuNIarp2n7AtCK04eUsOX5d0hR3+nXWkf3CRqQuSkOnUY8/pUmJohe2f6jkm07fIBdAj3d+p/5+YjccxeIXd5qL8Ya4uTwKQW26oxdRP9AvlYv1AW3glqe+OTx/vpAjntkiJiLJGP9HH1jkDGIP8XpFCJ8WckkGlhfWWnIflO+bNX+nqhzvQtzKxkpEU1NJaIkjtG8N19sxEddlOntbMem9nxX3mPz1mhv2o2X06D52e5qdPQiQw3a8ZslBbp/QjrPRvmng5TC3zczaO/+eblkfpjHm33pEDRfjXezfd7GoHu719txdK7DGVuasWJraIanW3Vzy+Asy5ICI8FyK7hvlg4SVbgSMQYc5TMcE8XDPzQ+NnIaHnWOXRNn95OQZsCZmelbebatjsWll7D0Bk0raTObHrw74Ah92bFX9i62o3NQUPwGbDUzY0XeLQgTrncW1Ny4gqwBzgng2dtzl+sv/r5Q9VzT3D53ti44Ahlp1G2wM1y4M93iMuZDffLMfY/5IAzs9sjuS5Pg87qkBxAh3YpMmcDHOgRuZCwvUhOQuL6seA7U/vj0lA/7+ufbxLgDC/45hjzpO53oJ2INv0UOLx6efTqVWbPKlQ5YPuGhwnOBGjVYetVCOQJcJXKVZGZQ6lM/aWrXDpOfQ66kIXzD+/QkwPsQZ8BV95tao25EPPlGM0fkG9fSuDvaszgc/iR9W3G2XaCdw4ceuc14+Q2QXLDw/Wedjxv8uuNR8ARud5VAZlN7yM8/6+037ige5/zOEBb84nYyYJ7jLCYOz5A0ujkN6fJS2WwrjC9smaWbma8vloZLvcj4z+q39qcmb0i7tcD5HFbD8Bn7YY2N9V7AnImfFYC7/rzr6YiM/6ZFioFertVDH0djY4dJ690Xj0ekJ4UOMNcY/Z4vexd7pa22lOqXpSNbjlN19TVDLjnDTPJQC+ae/aU+3ZTq1qaXvXw9Zx3Y7ziQLFzPxdKU0qSrABNV0xLanlz6vRLFetSxG9W1etrE+OHme0m3eYmKbuQSI3Gl0SI1AZMvZejLEmcZJXOHjTiL42bWY3WT44dVSFok9H3FOTGI7Pu2arv5fBp5pjdgRsFPPCzJkwYjkz/vOeeUAbPOLGylfikIOLIsoX2M+MClaAnLRr7e+7ulmzk38BJDsCtnu+rOIXJR8m2rGLJg5rZur0dSshpUryaOjFeFuWSB8Sc3WxKpzRziZd0NLPocGFwBrjiBnLtz954a8KzzEO+gG67Kdrme9vfHIBXPHHDzP07rPIKcQX8E3GjOVK7sQ5WeEt7xI0PnXKnEI/tpnHf4H55lNHP2+lr/sAUOwdX9mVPvrBTPswMNWV87geIyS/j+ch/zyj/+6zfPrR/fte/XvjWsUg90CWVsrZIrfKHOYidhKSpNVVptPxwoV5oDzzBJT382WeuPEgB+cwub6Ax03JkdynOjmLlhQTcB0x/aliSM3yXdrOm/exKZmY0K+s0+u3BuTp5uLukxmV0mDAuTN0h3pF/GikHXvfBkO+cAvWjvl6XU2TZNUs2p/c5Ax6bsHgiym2d1MJPDrApIYLq2G8hq+zKkcTq/XVzFOrbzD8tGf8gnanJn6+4gJUYoPC3x8b0S4n7hQU7V8YYsgEDfhQ+GlObFyWBpMhiw2LOIt4xm/7OKyuLPWqaiN85fxovoFLS09g+Gmt5KNM/BNy1omgCfhCWvVzK4Wr8I96lg0DX+c4ecia1wgcOz7cUqV+fGIOPmOEfuE+XoL+Y78p+m+J4OleWDV/qXYFOlaJ90DH5OUbpSvV5qYDrneL2X11YpxxawDrR+BveY753UXwSE4I8YGp0TL3u8utV7mCDV17+9ef39RBdCzyXvOSOV6T6887t7JbbZ0uZuUPUeLYmTmltB1izBeTZCnTGORO4K10/asZ2gp8Th7W9mf4AaWZcgs5J+XlR/3zMXGzJZ2+gp4ZybYzndaRlZU12xXjIUfuyt87AS1WQBqhsAr2DnBVWK7nRDtmkaJw8SPqDU95O+fYHslG7dzKPBorVA+AUxzPtz5a0Q0s6z17O60VFXiZH+QXPysbUzA/RgkXsfjTP0ZmsrEuOPGaA462bmRpN2mbAQWBdgkbrmCeRLBU38bbcRKAzGbAb7oguHftxZNdHXvjPehv4vYBuIbPSwTJnZS3wu0cdowuNfvehQctv95WwHrTzS1hrqxjm1OxhYePbKMzsZxTiGKNUN5fG3Tm5xS8ibmfI7xgze+UaPfexD1TrvnamtuGwKoXOgM8Hx9BMm8BsvxKjPagIyJ5wbXpbgtKyR+ICFyyws7fKR21tXWnNMtfy1hRKA0ffQOwZnxcMPLaD3/2sc3CIkBz32xjbLWsECRXwFdlJX1rYp9E8HikDjZr4DPQseZhZom8u+61Rul9Sl3xx1D/o8AqY1rrM2m3yIL1h/nlLo/MN28mt4dOzZ/+W95vbMYL3Zi0J6KMjEa93AnrH9CEeVpziAlU1N3UzMmQC7Vk/75swXEFD741/EXzmvRoTXXUYmFR5O5hZgwjBM0pMfZZBy2ePz8/vzA03EczaOrhrbOWkd+p+gpYrH1ln/ES272L4nXdvdOUK2gW0cempqG3zQeVZL2OI3eDUyRKe8bfo5AU0QQax6+erZJVFnntfoQjTDRCUiwhxQNy2z373aWanHgEXVmaxGOuT4K6ypIdFauVdCLnYTP8trb2zTbN+hlgEngusLR+S8x54BnFTj2rQ+UY7OOi5RzThmP07S7PbFNM2Zhb3cqNNI3lNGRnhC+X/x9S1bTeqK9tfQmAy4sfGRmBs5EboAnoD5BECAhOb+MLXn1J6Ofs87NG90js2l1LNOaWqWWPgAX8reRdcKWBXOSbxKRZLU/xZ4GcxsMXHqceO6jTgSL/iAnDVzihH+lbC2n/hlz0Xh3tzTr34m4qk5fLBKoQHMahQAC8vuySw88q4p98oxMGxEF+ih2zr+jzv8cPG0M9cGNfOyVWpdh9AflurCXwZwaew9sWx7cxon4zWwyuY1eCsqKfTGnTAwTMlZS3jzryktpe6S1bwORfAMF+L5I07KMqj7G57mzKRhCR8HPeLXu3dZIbnEOWyPbLBh2f9u4+9aXp+z+N2Azg2UMfQEk1L6Srbmw98iKZWo+b9w54HM7j+4zFK5ma4+sKzPej4uwoxO3Ek04JiYui/WiHXBApwp5K6tfXcr7O2Gok32X04wOfftK1ZQ4Bd8N/Akb5S/GeBHCpUaJ81PubD2fbYJznwcW5Iwge0EBdJEZJPFp7tTM4rsMghc3VwjHQhB7869eq1pwe4q8pm8Hfpoq9pwRfiJX/rLvPYMIPm9hceontW6JCLP17Gwqf15NObeVcVbaBsPMn1wqyHSqE+QZvts36aS+k/FPtAoFfOOcYvbuOezIS1Kb26U1kGwrcKyzvwhrfGpP5pmwzamRbbN5kXrV8i8y2Hx5xyWPuQiWUIfw7vrrS1dgXxK5O4mQS+jDDLO5qLbWPdBV57Dk8eU9z0wLWH803LuSeITDwkgvIPT4qPCwNcB67695S/+1mPjwdPcKvpVJHsyyWQEEckHd5RNp6dNNJYRWbOuX4CtgEpCVdln7z4xqEuMKXR7DT/6oEK7fZWBwwqWjtyW65Yr5C2nv2wriop7oDzdo4MyQQGtodu6fPdLVHi5eHMBKyEI5+Am5HJ7mFUEhk16l+ve4b+WN+1NF8y4JU4qBbCgVvIzGvj3PuA3KAg572DgrXnNspVfA05RHSAebYuH3Gmt2RJcBUTpZ2PJzF/vJr7e2r78XvTg2567bMtGvCEDqDF8c/sResnxVLIrZUQ5wz1Pstnw4T1sljdmiFp68hXdbSWWqId78yYxoH1u52oJKMecSkkeku3u9WR2ZpMwmX/W/fFpZwqwCPQ3cA1HHXNeeMQwM4mnp7Ww0S7JuJ2PtQWtPlCevm5LolsDYkzH/j7cIwnVwj8Jfnju1qA/0j6XTp6FKLtFZ4KMaBXjhKwFoCDoodacMLsuy0ot55M1ltADuJwhFsCHfV1isT+NNKnWIJD9glxLv23Orw7uTvjH8+Frc5z0KNSJru9R4yyuN2TR8rU5XXWVnqC0fDDBxzfaoAtxtQM90K5awwr8F8Nz75i9G/V271LkadW+Y1tTo3IRfTYHvGfB2iRgca4SMcJWV9W8lxbL0PgtBNgYfrKh20+EqWKcqWKPz7IlzLvdJGjpM+ROsBdAuckO9D21M4+I0I4aagPx5hSEWLAV/JZQW4tXT9PgT8KLKK8bwl1mlsJ+MchpmUsXvtRXxVct3Dbe921Z7J5X47AKX/yvgl4yv2M2jMS60s+poD77yv9uT5Ui0pFNHun6AEpETLOc7a8s6Tuw07t+dtsA3IM24eSfgXx8OrlVAxykuya1ZE/5pMQGxmRv3m/LjTwlFOsJ9B+Gel9H/DtwY1JIT+rbEwi66uWyTVolasnYjXb3hXq4H3K8YUW8B6G66qO5qEef32/L7rr7z/nP0VyTTu90tYSAO6R2bOFkbQ5Jj3wa5K5eCc681mzzJWgRctFJBBrqoE8cRL90nShW5u2rccJ4qe/UY9OaWfn2f32f915f/f2z7VTudMGNEOXj+2hWRr/VJhByMdn5dqdZ8gboJmoi3aV0IPu0UrGyhWsHZpCBcQlBWjlLAecOzh8VX3O300EyWVzvZz4/dfnlki1UwK4bAcR0+Fd3Sv4/DVqYJ1mznVViZ1DnWRDYpNxWGNcwK9gixkoTbEKNKzg2vFxPvzcd1gX5G8tdSij61Ll86Tg81/7ACJarwDbwgwwWLgiPTjA2yXOUt56P/uFDuTPz/VfHRlf9pTYvWrQqvOpS1rQCy3kae9k/txorN6sXxtg+LedQUA8OzOoPds+gtc5kdUDwKuTn54sx89r149s3TvkfohB/TPf68TX8iRt3m49zYVXR6iotuWtGWFdhudL48yhnW2QFoqSBZtmG7qwVt9AA2d2xs5LLyu7D9xPLuuye+1QCvzA9osmwu0R7c0eOOFVFKTXYXbJHXtm+7jV/TqCNZVlw/yVh1aLoKjk5AjxN/J+guvGREQkUig4AN9+9ZpNtdED9yhgcTDI+KcfsMj65G7nzwM3SiFXKbEBfOoC4AXtCvLvRX2+A3OcexYHx1yorUJTUYfvy2l4xAf0x85KupwgN1fdh3fi4oXLIwF8zaN3Rzg//lG2Tu8NcOIKMf0UfTLa2YC0w0fi0V3mKMz6ZKWGBPgF/rS+HDZmqg6T2rHf2W4rtLvb+Yv1sLqJWMgK0xePOmcDWuUOhnfT3IE/47JIJGhFBAzwUYGSqJZwRUBmNawNat4m2tNH0JpxOtJLKVf3vTNXoG0cwOtzXuhvFZHh4EI2s96nAnJmz196OYF1e9Dy/JRbothIZQ04AFiZZNy8ydCXlfUAlwJzTt9SYEon9sOf4tSll0qe74pnwAkVqRzHr5w2UtgIbtpveH8ilY1fx9NvTQWLHnD1xq1x+jgs1iv8IapYPYjJIBaTAfgZKhnlbNARsXNG4N8B1ZPGaxfVtweJjVON9MEccmFFAt+QxHRsq4onX7wrH9R79d7aelHsp+EVOG34qJCOTyB9JYfPjJIv4BvuSdBRcbOH736wOKGNEWFpgDsjktsz+ibSKkPBTkUYcn2QiRg7zAMu78D/R7RX67v0qsWqUbLNBXAy4Ha2VixHu6UeVAK8gOYcc9InJB8eWdmRHt5RCWvKqSDuRK+kNK38VwOzDmmXCN0LehoSmz9pOsxu3idb6pBXHdGULsFDo9aO51Eqzp5kNEtjggCwYxH5u7P36HDwpifksj2RM2lcv9eQIfOe7hSsP1ZMXxlHGxopB5QGYsCl0rBVoGW/hdMKEq5+tUM1npfcJAq4hp155p8wSfmQIbLwJ+C3qyI744Gkx/jjxiM/zkZsfZj61AlR2aXP2jPXCmv4t/UWOFOcOR8OwwSlz+uKclym8e5V97VJ5XyB53bRTDmKn13etZBf/ngaONweNJ3ucbh32kFGip1CmqQj/uZIdKeebuWg28ozjEb+Ajnjpobpbx4ZU21mRPrMbxwz8Kh5adgdAOvmGH7crUeu+Hy3NS53FeoRsP5ZFcIcvMZXY/kgnoF3k7ia71DqKcADX6Q8u58Mxcprn3s7jxklb3uXVIALI4mTi51BReX08iS8K4bvEPMI+OyUuldPM7065uv9kX+s4D1lFZ7GjCfbUk4zMf0zj7AqHcJtvUXVk88MYos5CSGcggYUt1PI74wFbyKkZQ78o4p/ZyEF9SIeNA6f2uZ2RxW5MBc6+PdTgR81C9Bpq8/cMf7JAC8qeu/IMh/ylU+KxtVReTn1iKWYwlOYI+bBWpPA8SDnaMfOgVyB3kGvfZtn/pxdwGF3700XLUrQSBrWcnABsZtSWa64l+yOhSkUTx5MZA5wz+z0uc6AKz33nrbeclGz4ImKadPg8pbC2qwHB/FFHaw/mPjfPN8oX3BRsR4yRqvkaHnuTHlI305DS0+huRM+dxy3SDzXQ8oMs3OagIsoWUyd5En0M+/03/z6vzKefvpZQINxhifr7ws8Fb0wJTjFzdN6YtTizyI2V+COdpZl6FJ7Xm3nobPQ1s3fUnfq+YLfSD+/1UwlNWrfMtfOLtqtSibiI9x5Ova2TyGDtRlUQn1V4fqof/ELeBRf+Y3EXxSp9NSTN9Chfj789DcgeAeDtLNdIv8mIafIwYE4DX3AMa+JzZ2H+FgZtUCey5TEwLFFoDDwyi3lgJGK9Ouvqsev/fkR1qTdb8A6NBu1Lf2swKgZmlVjdk7eE5r2jxtwzOQ0EAwxcgHYueSRuHAuZuG8PyGHHngXSOBZEPPAKpdge+qCnYyo3dvcV/Gv58zPbEzgO4REUwLXQaqxAVxVfo1xlG9mCusvICGehSFbDhqW5Otv7a4F5OHD3lPW6x9JnKLSUxiueaYy4UcuOi0T24+2h/fw2he9QP4fgOuHoCl84BHfgLFpszXHyuoZWAPEpQji734UtFXGngmqJ3weoXZeAmAad9Ybkr/f0i4EDk9tHeWzWfSoYrIBHjvDPb/q56u98xDU8b9LFFj/u59aeN6vN7Zn6BRRLx0eUvNplbO2BZ6wY8/1corVd71Z5wTTArj2J3DVfSbEJ+FmpweIq64dDvCu0xD0oGdetcSD9gzgDh5KqYGrJksempEMyTe3OtElb9rBWBchAj6wAvwpTvAg04h8w9s/5kU7pgL0q/MIKvcBsdPcbV+lZo3PO+0eXDu/UT1/c1QBua5vW+A0CfGmmIhgRePzs1yM3ZcGLktKyAtcR5k9T2rFGN7SaA0cKbCz2tpyUJ+2z1ltM9BV6pPgwOagFQMYgBjpeffrgby1XlQ8DpGwJpR9O4EeneysIIifO+UWL8Qk5eObcT3JXr8xd70DzpKctubZ4MnRcg2cRnzmw3kFueauEHXLUS/wrs/SmBLW/6s+ymIq52NS5gV5Y95U0s+1K8WHQxchSae+Gld5oHMmGT6uqWveRKQG+M5jNTS2ns9Jh9VyjOZzgwOXbYkjWWj51bMerk9bH1gv5a93X7qoz9oAH4LrLBmJrf8w8MBtM9CVjB4tvJ6QC0pL0T+zQY8MGGRpQuvx86xis6uBv7Bonmk+A15l9ypsE9k/jrAGvk9i+qk5fN2XDBNPO34KDArwsbxpD64Pm1hzOjHnX/8XcHyPoTY9QmyfIvSm+kfVcF/amcZyeJCfOYwGG9vbng4fdxkiuF6yqZihgGMv37nEeoYDZ7gQaXLrJSo/7Qzlx1zxeQuYyWrQkDnrkZ2tZjUIZ+L7NAYr69GacwdygbrCetsBz7Kz4gflTsFRzk/Q/DvqWC9h8oqNM7e9VbwHnEkvgEITGxPD3d2K4WSohblJk/zl/ftFI8Egt5wp5FplefbW9tPp6YiTqUEfHu2CUnLsKdZmdkZnbmfIeOlj7+iXJjooeXYyeX/US7Ip5exVnYI1MhnJAk4iAdrfbPZ2T+inZy+7Q15ixLRcu/6WGJ1WXF1AkbhH1poceFUeTl0aUTuPj0o7Dyn6n8dd5mBTdfyWxsmVPeeE/vhl44sY+pWwe3gduZKYFGyz/suln8F1htT2qbj0uxTaJ9b/zfqgFTiUsly0++BZkRR23x34ZKo311e9zdH2+LMt7XM+bfLl46bH5Nn0dl/weifD6nIK/T5FtAWsV4eF30WYLpafHLzstkftLo3aR2nOt6ZvnimsM3gmAStSwIOzd3DUN8TMaz8KpQV9Akdb0m7ngTZfVbFQTUxm0JrwTiy7VOUeFLPEu1vViaF0HeBmSZ/1a3jX+iJ69FUv9HkqPu7VqJVwdcCcq1M72Hp4jw2iL738hOdpawgPVLax7O936iUhaLYd5DLbF8Sa0fqGrI+5FMAHNIb8nFQiYE0vCuWk91NIsAjPz5w/VNW3Pe9NXhkT5yBtbO8F2f72+e6IRMrO6T2K8nbctoR3SVaz/kaK6VuFswtRYfVAT2Pup5/rA48VxOYfj4boyPuP25HhFWBRxiPF+QBcN9zdia3jkOghhxbUdvK6L792Wnf/BHwYlWFLEpDOch3Q1kP2OEnIVY5SJNR2XtpEOXdkSNQ/j2OyywfdA0YJ2XEEGuJxlBR4vhggj/R7N/mENXlTnn6dZT8bSMjKBFklkp4w0EAsKeo4+JQskc2w8pkQZz3cIS6nuHzaGV4/e+95OkyBFi3kIc1PMtmeYtLloT8DV6h0oVYCtNlxs77wpX15ESxAroIGk4LwCZ7RfKxHceA9SbNOI2KfW6eN7NtN4+CvFOSmjlDfGPKVe6YCHQiIMcH6W9PKzmfump862WN0vuUoXUBrR6Q/vzRRBlhIGzu3O1ytBMQ/YFgCnMuXoP1ZlC2AX0YNoivzdzsnTZKhvwvc7mEtVJknDv/8tdG9HncX1hvRhDpITcvyOHMbrH78PF4cwNaBi54ess93RIf7TSzBrgl9U8UkVWGyiEHbWdwXDVS25lMki4QdBQeNTA4ksj68PugUsoP7GUmh4D3PM+A4cLP1F2h6dtq8Zi5cl8xd+3Uhnqqz/vHAk6WIRSjupdm5J/i55leXRQh4oAEV1wa2R08NOBXeH187JpcRIj++2OFaUJcQPZYecO+xitC+EgbW2muP6Ormsu0gboBj3V229A94VvdjMQUZtz7f5Gg5izRirkJ6I9vA7lc7p+Hd1tVz4DgqH9AW3vGR83lQ8JxBXz15NC/A91anMQWcRa+apaiWllejqRTJlKMkyUEXAMbQNG5J1Ztt7tKs7pIK8vC+whj0hB+mtg4WB0WO9D7zzOc/v5TESTu1gvUwwrq+lghQmeMr3cyv3LtVTrjSsnSaLniDZ+gdcRBavnXquNVfR+Dcb6xTvo6TIY+xTAsFChW0VicQ6wxRm7mE3J4DpkfVorwqxAiulYD2IGz4eOgoefVWFMBFX/7ytublnHbkU4Z0lbqw5hfql0v6yIaPpe56H2IlVM60z/jah/UzQJyEutd29nR5CtEnWeC952uPiNQ/2JlmIaUpOr+eYQ8/e6rPdQ+6mOSx9jN5vp222GhJNtxxVjn3Izt3+hRqAXoFaI7mjbQz49seuF9ecjqoYQ7z5/rKelI1XUtUT5NKqu9mEbTiv34pIdyRU9m9CNDZjM8969IL6I2vEv6bRH4roxByeeunXpIx9HE7IBAiRdtT/sC2Py3v138ry03H9MIHc2FSH5icq4wlexoCl5PotffFtD0HjennwUsWBdrd1jsfMXcrwKGK271zOwdn92Bde6RCb06bd19GHxcd6jkDzLa+ZtRJgbvSFrBxS8PJg+ec6eHdZzEx+fjrtThImeQpVpFm5Hnqz56yfiC96GsBGqhvRybFAAndpX2Slc5jV5ngnDkQZ4v+Vu7dgxwzl15wPixtqzlGdg7iHpmzHMk941PQuPfXWdseYhOfQswlcIDUPfuaG6celXuS2LdzoO0MlKYg1r+EgJa8nCJ8tLo5Ley8vtTWGNPcSbYkSvKf+Xfj7gl/L0/b/km2JWg3+urJ+gb9Zn2/twevXB2Q9a2aexGtu4w3D3hPMuXCesPFojg7bMzcOoJ8iMonGdu+GWwN+s8s4awepzsVJhaQc4+beQfPfgLO5uVL8toHWMpO2Zqqy88M9kjnvLNnaI8BOLVqRuMAD8Z59ACu2/gn4ErSBFbTwtqiAxXnBfDnwZhIgfNe2BZnrA9tT1vE5cMcY5runffXM0wB33ll6xNRdsm4+tuMgbd3TJa77QQcBx0xXWmnlSokN9sNBzwf2fkgdl4acLAc+O/mZ/9xC//iPL5ylhxLO8t7C9fVqfPeK19niBk8h7NCGp+i2SmFsZ4WikYfgMl0J8L+rrDJ+WaNlGeiA1Jt5eo7E9inGDRtT7Kso9+1ENZDhedhcgbc/a6EaKsuSUvuY4iP1/nykXDS8oEupxG4iKPj0zY50i3o8piGdm+EcrKtHOWXBfBz5/zgLuiqQofVYn3cVED7EPQoLfRmvnFBqAa8hhxXAsb2uittXcMrz99AawNraGcR+VUaZY86UgjW1ip3xJMW2bOxPawdpSSyc+cJkxJyOUvmdNk9Tj9cV0cVNmU1qEl1zcXG2DE03cEL7HweYnumXnmDfs4V5P9QSV3wpUGAvX/rSAccUhYxgtbyjg4o8CH2fTmKru7VQ4FeOI3Nkxcm5t6U1u6jBQ4HusF6jOkOcGovO1HsUbCHd/Oaa7YrJbk3nnqrPXpRxW7hDuqFSbrc9i51kLbiKc7gelU/TdlgaxMwk31/OSCR2T2ROrpeFLf7KK1HxmQBJMGgkwbuWs//ncc+1699tg3ljdW/s+aEc+6PFXCYyrG1qonb8OxWezsf1m0G2gJy2CPPhrt7WAgB7nvnYeiDPh6aH5+OMzo83x0VK2Csf5yDi3EOGgzk1KtnhB1cmgCHRNZf7Sj138x9KMDH+ac3wiQss+Nk3MezYoHtmkgJ+0Da06bpVXsywc328oL+i4EL9JX1oXD8f7N4sGhr0Np5dH3F/FtWGALXjIC33gHjeyUbBJjo0GGqajHFYmvPmzFJe/+rlGt5jMXlFJtu7+q3its5TO2QO+Yz+5yJ9bixPmY/M3YBn0m4/kvD1zO8olKeLxJWajOs/+YIT1k+U+5hqVFbKWZcscVdsw26IzYjjQUruzb8z89SUlcETYSvuYRoKfqV7u8e6PvF5iB7FgL6k2hEX/uHWSZTL9/2tnay4AX83aE7UghVWz4O74kC75B8coDZXdLnfDjGCReRPucDLrSg91IIO6/tTh3rNfuwM4Btxr5XwJVoz2+nAb2w8kxH/HVi/VL2K8D5dJGRsr2098aULoHn+TMvk32sajMdag/0sJ1XX2imWfZguH+WgF82z+cmwcC9cYPtHDv10KF6ypGKU/FbA/M3G4jLWPlM3Z9edpN3age5rwStukAsfdXP9bcS7aTkh0vHHbJzhNIYdCfHCegQnIMS4c4sOZrCXEy4dmehbD3KCBpcrh3Of2eoSTnQ6TTgndqa/FiQN/qc/7JCPEpu9vDu7qKfc1HgmRYJsrN7U4mY7dOstkFQi3YUxs6lUTRj1NZj/D2NgLWAeT9caoT4ASz8LzZWzEyf5ec6VuMEWht/qSXzIfa3GQt2oBuTumidclCQHUHf2rpQdEbEbhthm5t6h0f/fLtOQ3kjKADur3q1VVfB57Ptb5Jh+6qdu1dCGeDpd4UMFyFoz0WHMqbfoGF9DhoCMGmjpdid8vmRhvO5YpnDDH2zZ01Hu68XWf8u5ULcGGl3TdAff+/6IgM+arnp/9szrw7AGdg2u/HOILb98E8DtTW0j7TXIu3vtwpBruH+Nfs3A/6vdmarKb8oT5KDp9oM/bllLAV+FXpqhOtzED44zsL69b10/T1o5BcH2O0Xk514MqSeGCAHvjVdf8s70Jef7zdYq4And9fORalRiYBoXOuxXIjrR8C5CfCc4bCIN9ALC+uaG6wXczLTlrLsJngy0hA4teO/9r7uKWixo2yZNDQpu9CX+OPJRgg76QP3IBOBKOeyPdNBqCacDvyfbv2rxvPC43KxdYcpgzXFWuALwVDHCWB2wHj04bB++iqX5NdrEWLw84RpzszP3G5XLGoH2mAF+bqtHRL8zkqSKpVMfUHOe/vpxfSa5cfX0c6FHMRnzcRXBbnrKJJDPgafvA9vzfABvEz/no3aucTpQL9lD1jPZyKid7eSwOscfIY1JHJDvusByaZQOz0mUQ0olbqmgLz3RbverYrpszY44gvNpY1flNxqOX8KZtJqc72JOHmdLz9T1n5bb4/TFnDQs/O+aFa6qrd1safIzgFMV1LYetPwkv03i7kxqqqArykHOCCaVhJPfTrye9qZspb0Ko2RdlZ4VbS2xuW1j/38Nyv5/ca25se7o+rtTACUas9slTt5JxFcslGrvPhAueCuWtQVrhs1WzubmKCmANVv1LM0wSXHsD7iP8DRAyUHdMl6853+b+5SzrCyMzDov1mK9zvF1FFjuwBnG8hmvSdLeqvDdAU/pcCZPB05zxSJpXLEQhB/2DlF/3qNH5CHdUuN+WtrvhXwecnXbdap79/cu82A4+ug7tEG1nPMeLaoofSk+XPTkS9zj0pYR298846AO9izUbh/uj1hnZwG/9uuYeGFC3WyhXg6sN7AZGtsbSlwH9HnQr3WsvXHLvRWL5DzJtK/3wisnEzQlRrIDOt/VXZJT4f52ET9woaJgNaMIJ/lzMv8dDAFjaeLnZ9InuujgDzFjYb4J7uG4W0dCQM6onpxNj1YX5wdOnj9RY0ZAi7/lSOB6wK7KdegipT1n+cQP77iiWk8ej1yn9p5HDw+L2wbevW2fGrg5CS8XuyMt1yK8BT5n6BxWI3wa7/XTeUk947/rHGJqs27lzKCfvz4o/NCliCB5zDoYW3n0tyyMZjUIjALBT7BugFuaPuf+zwSpSpU2XgkPbFgpUalGrdZVUvwoJ16afMJcPteeUGgeLvNGSE5h1j1kiLlPgCySEGrAGauJ9BfAQtNngk8ND219foLic0RYgn/8/FsFWMmB46SlUhtqPXuxeSnT+C158CQeEtFq5S7tr2FFWCszdtRE2pUb4NZd/ihHbNTZmK5nL6azbosmfUiaFGKrMcCrgAnzspVMVynr4HjcaGPBPil9aeRhXrtH3aQ02Bt4AftMeim99sJdFTqJBvbd2L33vlWjQfnvmo6VVZjc2/ktLNzfkgEsTBiIoCvi22w1BLvIW/sRK9DwNyH3b9sQPdRMb34oSOGdSS5PkPui1LUfh0L4QH23lLI06XTFmJoHD5ODxVO51IECp5nIaQ+W2+4sm+P1oOLerRgCz02YWKP5S+Utb3GQVqOlMC9v7jNJQNdJosgqgvQlB6+gs5sIf/sG5zdpVAFQ3YGc3i3mEsdgfnWRA1SEytAw4RkC1zX++GDMnFOjHq2RksPpEvdD9tLd6b9+ytvGM2vy7EI+r2jEhInh9LwO5FXj1vcjCfr4xjmm3eXy/KWjuXtZDQiHUmrWN9kNI1p3Fx+vPciuuddO9RO4ms7t6YLTOb434fl18fsWzukq0GnMUY3VZzsS0eZdMBlbYjK8zVk77XPJSmrCLiqwKBnUFd3wXjq11UeCidDP/mytTVRDaPPxisfdv/e1gIfYzNX3uT/ri8vQHURODnEk+SPSy1CJ+e7xXpusq2APx+fP54LnkEqtL5ygOvGHCSG9ZfP33Uf2vrBT+DgTy2TQwpcVMn1J/CIZ8rTh+bO64yDsecspK2X7U3VuAllvXMnXgZYsXNrzB1dtLgWgcyWHuU4uKThFGi8e2pH5xDnLWA8ZXjnnCJiZEEyO3NF8InVRl+VaZlA5nVfP75JOk5a6yVme7rZgjdVuJ5Sd15Rnnqa/fFAd3LQbZsj8N+Mf0A+6W/1OCGIB9fWOp1Ygqvx41FF4VIOthbjx3vCZdjO30hf6ws+FxnQ4zdVJBK+q8wWvTuFCPJdW1TcdIBOIehcYbFNeVioyDfa9aWK2lvJtZ8zZc+/xnTwn81g20gAxyW6ZgKwG5UPhX+9dDgDjNMRhXyMp1ImCUEZkkKXlUgwaOiSFfhLSz9WP3qakgZwRXQlKt1WZk7zAHL9Nx0EcGrl6bC8iGgq642dYabDrKBtY16z/K5365teoQlz68cQC6dm+O0Yib2dmQt5F+KXCtZrVSNivZyXI6hGvag7s33UUWsUKBy49uXgaXi+ZrC++tWAplToywkH/BSuX/0OKxVmj1OntgcPu3nfMo1EoAe9sRpMbEGvCJUCuypr4CPV0DsVn2CtglrxUqu1eOaBhhG64tG7D3GZAbe0nisb7iaKCbODeHh9V3lw16Df9NspTJ6HpXxAXrU+o/9qYmyPyGCAT5mzLrKVHhqX4gxVAouSYTvv95G6VEHsAGaqT9BPPz15VjewTtgcN5dL8PIKfpZSK+KoHt79hfShd4zTW8PV/VSEFw15cI9A0XvtnLkGMgbkqkF8CwcwfNGx1U31ML0BriHbD1tJ5Cuzu1eFQdUAebwA/fU/b8zDcasgU5gjYP2KyFac+PWedfx5BNypQjt/gV7L53pQRYC4tDoYWS9bdAI9UfVmpbudZ/eFeOQjOvjOSei3DDg2vL8QtBOG633t935WEfmq3J+e/QW07KU2H89jvh4I00vzvD5OA7kAX3T5GK7E1s6mSZ+13XPs/Y5j/sgM3kGO6oF7jsdY7wD/jdVjZY+x6MTUDM6L9+7zjuwrx7nZ/AkxcK8xfjABV14Q4E98JULQAR72QS/syHPe0R6gkOlJF71rczuRptJd4MPaAg0RvImB/JtFwYQ6CoOth8d/30Vr7lzSzzmQ+I9HOH3As4N1hoDvmr6y896E2p+KxtfDfOBC7LIukRBbb+XYeKCHz7WL48aZ93wMNjTGQ+XSvB78PYXrrIAlHtzHKw63NRJbLZTP0PlxZHQG/IkYR9e8KB3h9C4J14gvieIIWJyXHEEXjWW3u/BtO9CxTest9/OYJjRqd40ge4I08DuVgv74LvudJ7Fa/eKXnTOGE+CvScJAxwhHtHY2E2B6yaKHX+H2r9w2Xo7oFw/FF6ys+WTaz2ZI3b1j1N5dAxdfOfSnFlLlJ6bKvGhbFvkD90D5LOLlDyAzTsdsaQPtTtne26HUfVi/+VA931HWgzZ3+n+e/K72jpurw8OHBK31TYX54sDtQIusTvAMDl5wrDtciJj4wLEvpTgv+Wgujfk9Gz2KRRuIopksxJT9ozws1K8W8VdEtheK3KgkO4baDTyTCTBqgf+Ve9TfOP5whWmeWgD+DdQ9bmkAa+Onl50OrbJ9qE2HD/p/87IJ6AzBw7bKUTCnkQ/Yj8N0BM4VzU/AyzNBalttNfBlUsgumBvWX0qvVUfgdVmBI9BziMTT/fBc98rO8BnUJ5H0Pz5v9zJ/53/5e/RnVRbpUo94Q6SdljmFWSdC4MZPCF5h+6D2SK1yiXflYqjtdfrxb8FtqrfJl/WsJp5Kgb+/wfMBDTWxvft+O0pxOMXJkke+etWmqsFf5cAqgSOTagQ8dmklQ/VWLXSRUbKjJvmueOg18uz/7AFgE0gJOOAFX9W28a2uBI2HbL9jCtrO9oXzyO7hmqMMJztX/HUOK6t+poTbXo8f7DPMFb2KzQi8zzt1ydg46m+DsKnEn9UJ1l7jZD4f3j3IFYK685V67QI8Ed6nrXkkn5zrzO6nNv1/fitF8uqHdUmhgzz0TW1KWK/3m/W5bbZGNqwFTZs8T314h3y5IwsGZbZ7iuc6I1J3nGcI8sVU/5uB7Ejebuz8Ieranq2Wiw5yK06A+8yv2EgbqY31KKj6jxvEIIW1DPdGDhJ4G+SkRxras5nyYfsk4R2eaWF6ElPMh+wCOsZL8fQlWUIqJ0EKmxTea5KOoBPDea5DZbhJXvOXsfVgLU3b5q6DRPioShdiPZqnuvuDbC+ljKch7+y5e7ro/sP2eZ45U52MVFajdsgEiSvHelUqJEYT23oqipJ/8xgNcPIiec02ZYp9XIjADhCvKl3a0dbwEXjnue1X2azdo6RGscze35LauQzwDOvifCMOYsyDvOSi5ODR80lCnnJE13jiG9ZLTkCjCNHOslOv2LjrWDmNZ9etzuHvLoN3C1qNVr06l+jjrkZgUp6ZrSsxxOwV8A+0O7wHlvl1SN9oB7wgDv3D8uHbuVlqsLV+ItPAPw7P+ZJ//s6tQKxreVlkoEMxhzjP0g4wckAPKmhGnWlfO6ELeSdMmbHr1D3y9gw8PqLc9oGuYW0S9xiZXn2uVxL0soJcT+X7LY9FmUfTRuevmQtX+HdCIAN48Fzux6hcadCyNAL+KvFgPW6A8+yBLxohr4/spx6+BP5u4C7FStoe8fAdlc4aZz+eQemitrjP3bkjqN1DLB2Bb7322d4gVlXKcUq9P3dSfPig774zZGcUkLSOp7PtFyzHIGIRCiupVL2IY+aQMe3DG8RqJ9CUnUyC7TydOlJlOqjnwdXPzCUCtFp6KsTLm2VVAX2obM2TmMp8xFPFcQI6luZum7DCrOCzvDxsP5lJRpGvEevt/r6dg04fqvhjPa/vtWwW5k6qHNaPEvLU7556PieAea+z7BLWG2dh8il/5ve1JAdNwO3Mcvexh+zIa9HfgejtQQ45uYOKUrT2TDmwOR84hQ/PrpUSf9v66mY0VxbC/W+zJ7NuGq5wmfRfvgd+JoFzeW1PttmDmD93oI837pELxxg3/fSQmHC2kEFDXjhCrqgWnZEtvehFKPgOkkJeE7Dea1czwWyPb7ukoX6kgmy5IAVwyOg393Jxhhg9KpRcGRLF3nngfCxXWe+HwKW/RHh9CPf9kXPglzi85z15ZHzeHLGZ/nkjKZ9EJKGm/a6GdgO5YHfamm/rwUC34SPN1789PlkXePVIC+1NnWIkaPpWHjGZU0M7IhXkb3yH6zU/c77Nn1Uq20FuZkNhbRG38fR259Vhf0sH1FV96FMHJxLjczqYr9QViA3qVS/KK/nYK74euXt9KhDjwv0AfKJ/TwW2ewrPfFG2nnaoud+dQN03z/mvDh/jEU+cImG9/SMVqZxjcVD5uwMxaPubP+E5F5CDV6Ahf3G5iuzn+xPwdsj1NLdzIfWPp/8HPN+PhcXZUn3OzxQ40UnYZ7y6KT5/MzNFpTx78HwdPYLeDZOIOCFKWfn8jx8Wla3VHqZXD93ZzkvOnnN+4mvre7WtY/FUsZ2F6fs1S7ImJvK41bOUazv/Ls469ZmPfx7MenR25k2BJqVeeFEh/aTdDuWb+SFZA9qczoAvdtZY8spRBwd1eZj4tjod1j/wlYkfAT/48DioiOzz3j+XvU4Auzy7D5IVyUJc7oFWLriDKMQx4P1jBRoq5wK4N/4DiuwKXF0ZWJtb+fl7ll2dMEmEfPUw3l3u4g3wWHEKITatV5YXCFjXoG0pp3FbZeOfO2UJPyAzCYQJxHROIW4aoxK9BSzs9O4oAppGyFDZEgrv5bcuRZQI8PJSu8l8iu2Z5+T8+K+5yPqeqtRLrL/9koePTjvtWbvpTTntp4w/QPOliDDbV092qe21k3btnp3USWQ6YK/k5zuVv3sOWzsDQ2A7M6l51vwxlnJKD17p7JG41D+z0HsXdIGdqzpknfm2NSNN2GaZq8vUC/pSGpm5EysNxJ3XxhlH4Y831paWKV9BPl+/9ntdns+SAfsXPc6UQ1gpIS8xe57XXOB5z3yYgx+PE1dkaqD9KdJH4EvfLNSbqitBpyCcOTMD/moabvzMwW8/utLWMgg7v7J95aiq6de2ttHO0Z4AB55pPn8Llz7rYkppmNgZGNu00Dlw92Pl7Xw1nK0H9l2PCa1Djqq4HQ6LcQ8O6GEvmY+sPcO1uqfOODouV8CnX7ExSNvrMKpLLY3JnPCxd5Nxj5JZRKYCDX2w3uIUfdxIdHZ5DO9kKx40sj0f/nc1TmUTkQnw3oPv89JP4PZRaevmLvvnOmjCBPOQ/E+b2z3/z/WgP9fnFP5kHjnKkaSAwX+1JG8pT7q8wKJyZ1ivbXSCNQ+x9DNPHfJ6IUJY9wh7PERvkAPPOn/3UudxT+V1AZ2/Amz++9rHrjzzVzOlKmzPaPGNWn+5waiaE8AxfCM9+gK9oyCnEh6GN1gj5xSZUUfwfretU8v1ubF+rsPPeedPToN4v6RLAO9dHFlIppc2B/wEPiM86n441qerwcEuf85vJ0kMszPv0LRwrG2/b1LxRwR6gGXuWpDwsTlhnKVF8KVGQkmnulS0/3nOrAsezX9Zn2Aq9SsfJtU2+eGtGdcbEolVZQI7iaU7hoALwIFYCJoUlqwOd5ApjFcu+i+Ng6oOEbd1b6fCSD7g295FN3imkoarB6zBpz1DruD3IXZ/PbhAz3U88v8KJ1xAtbK9xxca25pD0B49xH0I6gNYqGZtq+G98yIJIZ7Ph0XJOiTj3uUIcr/1x7hYvyPdnxExdAK8PQiUhM3gv+ocQK8KVsE6+Jm/E61RDTw7KwjR1vOFp8+mS3htr59TSgdxPnKAzejdq4YZN/IxUYEnQOSq3qyBs6qnBkywXoN5bM6qb28Q8a9aYimYDqyHeL55v1WQGwB/MuCQuN7aXKvsfMPoZ3/xc3bTTmxAC3TMOz9Ap7zR4d3WkHzZmYo6n60/dQVruRA8dcS/WLFzjl97KYRu//gCYooP6wg0TQK4clHS97lUIcTK6oSbu+2hEs77IjrjCw5UZkjcxjE3jTCwBnMgA7nkY3uRfbuF+xmaCAvgttdyVOoYvb96KxAZKAPsXigLMvE5T/AuVjym341URwVxBesNiSUocpxcla1FRjSB77Lel+Joe0YHfGjsnLiRPgHjPiGGIcevb8fQsR6ec72Y19nopx7EE/jsSEXwqXJ7buL3dfzjE/J92ipaO8TJFngVLmgTaSKB+4WBvgct+Djls60fqGqhZpvXNBe7WgRXWHNDI30FePSdM/3SKcef/c6BfAI+B5J/rOpxutZCXyE/0hJ+F+L/aGt9SunTrKdRGps5D6cWYtPJ4wB+0r4p+Y4YYATE/dwgiKVwNgJ0V7aoT26mVz3A0nBalbCGcy/4BA7pg46BaLg/Gvd9OUJeyDFR+ZYuEMOGWg9gyM2Qn5dTuN7TaOXaM264lmXviVsTzQc7Vws4y/PEdSo6wEXgR6990dT2VfdrpD/fEf/xqkpSBvorczHKxeQABqy4bHy4j7cmn3PbC1b+mxcFvKRcTtLOnFRxHd69I9dtPWgh4v4pkKi461+r/83IYBI0y8GdINbbH89ByJsodei8X8yxMR8QX0pSFFzJZv0GvCdgS2BUr4t0bGANv19ONseOdPVfn8BD9WtgjVSVfMopX+90TF/5MBfAAWoT2H3hFbCfCzMl6ExzP+Jg2SN1SCXkwW37VxT9U8YGeOGf+wkUM7z7ii1wD8xgisleCJ2mi0ntLN5q+29OrjTioI36rT8U0eONFLsVYWpIB38AvAWswkoPKOb2vCK/Wl8ph4A2rcY2UQ4tmy681R3oOzsHfFAOG9ohj5I+By1zjEieRr48CtKzoo3z8eVVNfsHFGR8C9w51JOQtmfSufEtrN3++rDeImLcrY587g6LaMvn+41LNGnbXzIQpWXrAN/9PMkdossO9IaW9XP93Htmd9yKqOa6qhj1f3lvr3Z5EeDK1hl0SV8PoaNi/pBxckyftsYziPPYck1U1b3zPAnylVkOXZiS2DM9TvwfH+mtnWPwsQi5PuQdaelC/nL5ODdu8uI2U+aKN+AmER9DXxhT1HEylfz9YafesW16YWjqagz6WOot6NOg4e2X9TxSfPK0q/+rab/f8uGO8sU8Gk+pU0jpqUdvTJJdNravuq8eeHgowubGF8PJkPhk29+z3vIq83Uaz3fQ9rC++E0t1M7b2x0WcuMdcFdAmeo5l3DtKeTkkAI+U0OC1z63PUvgxrh1v37VORSN0UTw9QX0pZ3BzYScL5A3uGYmrrcfy0+9RUc7tqVvDVeoGg3KZLtN++TvwVN5OXys9oimP7Mal586McS2Pcrc6yONAZdw++K9D+7aPijzlS/UZzzhCgcUuNFfiNnF+p3U0XqyfgOw3r+FzQUxxvtFbWQ0VxzhLzkKfOQ7p+lnXxvupkjEgDcGOPoIMcA5C1739a9mLJy6vdtWYnj8zN0kpm2JqzLhJWUawrsZky9iPux+1JaJiVUeFsRZge7/6d9jZMhuegx2P32mcWJkp9MahQ8qxTkVyQuXE8il6cEtH8D3gaxNA+APPH1S0RhiRZpvAXy5kvA+ebqICDg5g/cOX0WGB6oYQWpRO22fibReRGj/6/9r8N+GXz3AxFee39WwZoBbxFW0Huz8TR5Zrx/6JbneE3e1Ag6yyzfrLcO2Fov4p5FO5TCP9ZDE1dJ+1aG/pGNbptEUaOeOjlvFYeVzycgRniNrXOeFy9ZPAnShYpA7H9QDWInOlyOD+9iWtkfmS+PeJ6Hvy8KAukpv+ULgmqcbYJF3FI178NrpFOG+wbTMQYvb+vl0tPVYjpfH7VZFr3obiBXX/6oM7WEtutbbl3U757RNrK/I92mAXI2Ma98Jy9euBr5Bn+vkiHHCPGxnoc7plhjQQwHhFJdicoGvPuDa31K4XhaRLeDpa267exr/LMSjb1U8cTWUiHX4qYE7caSR7dkFnqUqYf3RUAh8c1/3eFuZ3q26ZGRy/eMllkN8Z3z9aIb2XKEewb2pBjRVAzkLcvf9930V7VtZUMAjnRw8skqxSNL+eqdC23ruMM/nv+k2eaTyP00kEeAV8ZhUz8a0oe3jqEbc84GcWY+4YAHo0scB9NCTGULVlvzGfONBzOP+Rl0U6nja6NC55yihuWN7YdZpzfiKOO3zuCV3wh9/q5EGHDhw3QVFVWhUDo+9rcem0dWtXT2T3tz+nfme7YyEkXTi94w+G/zCesRCxkB2vxt0wsLHdFUikx6xSqrIv0t4wyluMcSrXfcHwJAF9LrH+8RjEDFZD9rDNY/S0d4J02sjiABedoAcczltXnuV88xEEPJCqzzcLfX4B4khc9QI9ynwwe5pZqClNb976jkz4EjfdpZJs1W+LpIveL5ZY7l4p61fuPXTkfB7PYcLqIer3Yc4WK/yF37R0Nj9KodEPmi+ZkVDknPH2H4wQbagE7FOSCG+CJ/eVEwPCiW4HOj2yBVgG77KqFmdRvKVc3KoMXcbAdf8uU7oGAS59VgIf9dyqzr9BfrnOx8zD3TftWQtrUDzwbWeOZ83cqv9auErzonXhA6Ik4CQrck4Tr65S0fKjZMDvpQLdW3/TBrpO+TrZ8kN/P51JRn+1bA5913QlW7ZWV2y/kqf7ysJ2pAM3D849Jl2ZiWHeeKCrKp8vRztzNS47TU6e7r3v9Lu4yFQ6gGXSUrzZ6VjPKhh3R2A90BOVTL6cH7fl/Xi+1xn9iwAVpTtG3AZUyHg/DMH7Q28AZIJnUCHe3ANF8nME7gbOpkW8KX3QUuAfjQuLEhPiQnWBZnkZv1NhtWNSX/Ye+TzxefzsEc/NRReC2j0fqFbNR3D9q8qJpN62m9MEuaeoCJETCzqXgNecy956sLYejcJuBftXZxCTCYc7lOMpZcPkMoxv/DR/JX4t6+tryTwzY7sT1tyYHh3E15rVDzZ2RQtA00DHAdJmaSyfxyEgWvm6zBjtmZyZ8+bv/cLnXXof0NODGsX3a13H0XJrRTm+5ivv4/x7nXmG5TO+aE4ecv79ztwcLcJ8VY/51AUGDSe9TE42z3kZx0HTAzi74k7wKEmeyaegKaYa8BJ4B5n64t7YrhoUPvUWI2ySG9Zvh4hDl/49V9/MsRMePZLp4UkkrwxZHrg9yp3UQtrL6NbSlQRAEc0hHeUNIYWpAtiyLutMOUzdyb54x/UT/dG4m9YZ0XFk23t4FvmvmaazPCM1qGG9XmUyi2L6Rsw51BFydnOGcod0VUYYtFd9zwU98wxbfbDMTFqRvxW8bV3xDZvmO/SSTYNUmPqtgnFU1AD4yil2GgUvp7hN/DNzc95mSHbOpzuR44C0dsarflRLX/utQf5H0PW580zFZTq57qtw37FnjNKQ7rRLqmsp8CRkQvh5YWjREDOD1iEgRPtfOAuv2fZ2hNR2dOKRe8+5MI2HUUKfFCIDiMSK0IYWRg/uynkb8AoBu+mTTvIANvAcjovD9GlWoLrv3qXqYTfu5ZcT7ncLZDPIL5/a5b8ys7yZeEDMBh0abkiPbL6fHss+Ap4dScL2qWx8o/Fzrc9gwQ+A3Khf+qxUJ8zyfuPFXWTQ2XOKwVpRYTOiskr4GpoOfcbH8mLA5R6JHntJWku8IPYnn45e3nRzuWID2n+7tQDKmxvc+OoUrPWhfXwReQc59LWdrfXvAu+2AK6LV//BR4TpCH6sjNUmWeW2pkfp+FXpyR2PgdD6Yq5yRezp3bh7k6ZPQemm5QnN3uOBj/v/9uj9eGZX5pw5eSGxCVv/+a4fdAe4tBtVQr3QuDdZV24HNwkKplplWNe5+ahlOTtuAVON6zQ3l3BWnx4/3moEYK1dYWyexfeKfQt2uTCm0bQ73ZWli/ipBd2/6HDgQ5BEw40yAy9EkOKGpsdHzFo2N++Nk6s799m/mSDcz/J1bMyO+A/Z1T35mD9MkpPfaV8voqtyFgnfuppshFyjWk3pAAegilwClz8ztT4nE3WkwPkn4sAHZeCRvrtkxKKVUIDz+pvp67NWPQgWUHdY0yyU76ulAS+KycB2O3LMXCOBSE0xNa/IKROEkmmuiP3Hc7VX+HOW279sszUyujxtGfdJyZeZxwq7d9By/l7FquUSnLJWQrXfX5WTnLco/abFbbH3y/0oBaLD9xRdobp39LjS+ZMHi1aOwvnYfM7ExyVkH+txzx16E3xdsMZfXmYhMo1O23nXkLOLo2ynHoH+Gj90llZiCF17gsBtVoO+sgGbfdCdqfPNbG1mE1kTA48GfJprN31t0bkABrXg3cmUu4P4nO9O22p+eW9nfAkvBXeBaDbse1bfDb96nLwQIMVrSu63gW8PzJEUt7pADiZCzruS4ggYvYzYa3UkTgCd4VotT0fwSfgrZP2dy9dAusn+sJlux+5IpyY42btMMDRHGdLLex5m+ng+x2+WQfZME2Ag8Al1Rvofpd15lqj6Zk57Xdq2rOW4eU0kL8ktPW6uKi3gD5SDEyi9hjz11qeOA6fNRdX4aKusb5eCHRyNEFGDW9HOX8eOU7z3i+E97ECvXS2902jh6vDNisNlgLB/Zj+frL97dFjl8uHxQvAOLu/SRBovVccRk3YFjza2XlaXWYMoiJJgD9uWacUH63XhSll2IqjXPuVnbc30nsm0QF+fjjiEh2cx/XEgtHyacAKwIvUkRKSVdHcRL6ej5L+znhK++x55PSiRfvZcATx7axgLX+W/WNLXO400YMfMfAjFhTlYHuv13uIGSYHn6e9Ai4AuRmnj1NMUsBN1EjbAmmegJv7fNB3HaL/NwfBfFEH1pybOCepi4qJM0U7yKe+4g5+AvZngAtIRqiys0pBU7vHrZ310Xj5c+2A7vxqitb67j3yHy0BObjYeWosn+UivgXkof+4jaei9wfo9hWHz6pE77BxivKf2a+4yLvdjRT4i7BgpktwliPk3s0MupXmbPzh2dvMtQ4Ftg71/MiRuFtP4syopemv3unzHbj072ydZ+PB+nvOnZT+Z+rwRx1+LJIBr7Rz7xbSNdt2ODjrII/pUcf0rdl+QH6x58h3LxvCu+0LBC5+1zZvLORyCg2j4vxgwu4VY4i5/tWf8twjO8Pacq4ZNKufSEGs76qq+9bW7s5Zv7uf/vmmFlSYjfWDypjKufX5FwljiIL65z7dCgWxuQFdbb1A4ffPt5o/XMDCFy7Ddf7xKuDtpdB72VuOnlwPdkYQUoGOAdcK4POxiHhUAn8Sn/UYiNrQQILmTSX60fL/tL26KsAXYecShGLFWHtMPTU0kfrl2MxNvSoUSYVb0CCmL7vmlrJ+BfotPsb6qB1657EJIKf8hWu/VM5DSqELPU49aLcUcGXOnNlAvkzSorwdQcNXoTb2/Fj2+nYM1YtHDXpsltT58LSh3WlAA8TOhXrkrQ7bQ1kYkhsM6+r/iLqyLlV1bf2XaKTG8nEhBESJRUgDeQPiKISAlFKK/Po7U/u6zsMe45xVVUoz8zXJbMgmg/jPXI6wlQymnig1+YKFFOfRX4FrMOjpsmHJK13Vh+zaHXgEBP9JPKC3T3mqaDIzpbiI9+AL5AV0x48I9bcMTA96O8bxtAc+z1X0fLKePRniqNFXG3i75WYOdL9cMsvbq56UEOdPYu0d7Ewfvz3xAIdNH4H//657TYlL2B+XUfWTruVydFqrcZYoGzVoGvVZAcaDZ7Vr3Zu5Ft+C+qYPssdschHx1WFO0h4tHMjV7ynTT861NP27alGuB0d+wPe/43Ajom1fhcvScP5kjidMvSqsZcvsRZmeQLnJIXMWc3ZSSYdbZDeveYhLvAIgmHyhQD6U6RFfwHunxGMB32WcmT7+e075737X/zT2dGx2MyE2/zyx+wMUYPSbQ0H9uKEozrp2yMfpjiMb1qsK6CjNPsujRigohY1kxJfcnO2FYCVosmncCYMEfDYhcyq2oMou//XUbSKP4qB3ZfjH8HWHIx5VCAnqeB/Y2tywm74wcG4ety7vPZQWqiPdr1/+ofF+qUzNi53szuNf8MdTCDppw1fUNh2vmPDuB5e815dbCXRrNESHxmYm6mpq3vLgd0ZkaPrsw7Pjlfhj153/CfefNwUXRqvifhkrkfglxUvOeQ86+3dujAiNpwP3lW8DiBfMAvXWbE8GnAQ6pqiGdmnyrZv3ywGzcGN6TZWX+4p/88tVmUf4UsVflnJQIbSKYN1/H9fe4fm8SS3QWA7Qqas+eP5nVZ36kYFuq1WdGv1vDsIdO0/rhLDpQfxQQbqma1ICp4o6StLUkjPEy04GjZlF2csc3meofVg3OHXKDbX9QQ1f3on7ktqgOwKEAdu+SawemfZPPE5Nn7T3HFXQkmpN+4SVFjJ9gNKcbRkupukkcFIjfgTvVqQmhxf8O4M1n617j6PSLTuuc/COedcmFCyuAN+PbbXHg7eYeM07NGJBLsDN732bC41MaQ5A0Eg+wV8vpqdX3ZMnBp9HwEuJIolyYT1OgTqWTrqyaL6Wq5ag60HzJ6AZwP+NCU4He8Y8dGGtVY1WQE8SiYAnqvjHKSMg11zHSWz6ZzQDSVWUgq7b32pTq8CTEwfPl1KNU3P+HLcet9G+ZpNdAraBnuxrfX2Vpteh3R4qax5KcwYcEfKb82Qld2a9+xHNH7RQGH6vLUdy4eB3QUN73EU7Cv7T9D3Iir+bs/jdJ4WQIe7BNfO6pV9bZgc/3dRMEt6jay5aH3SMVdHEM7M74TtfZq4c5//6VYqK8YIONjxb9MoG8ptXbmZxSyFhPU1dw0tbjeRb9YCnos25s7Uas/5H/GIWj6TdPMth3rCgf/Dwj0uL6ZPEyU/lzI7U+AWe8J2ztKntNibgDxnHIXXQjb8AG4vEBt99SeF+QXuD1yID+HqPocx4VUashWYiWbLVB8+ftLhrP0BL62ZULrPsKRvQknF0I/rrxuh73+ZuM6uH9QGfEfbeuetvzMyecJ5gehDOnOlxRkmSc3WF65jPMb+AjgBtpGkt0IWtvkUsfMit6bMZ5Uztya/C6cpszipbmdyUxMxd/f9n2EkGnom3L3yZP0ifmlp5Dv4jBM8Y5ExW2fCbk/ko7WkPOmDGJs9SbO+VzT3QD8czmgJsed9wfa9Um37Ccg/r34c3IM5sa3ry/ZujqkLSmnwC3E+7spNL1ekIYj8g4dzX8L0q8oJzEb5MD58mnD+Ba+Z6lZgE//KKOGivtkJTwuzUFgECDGxHCF2dD+2mdJM3zuMGnos5gwdfAZgWPnOGbdyFoAMIAZS9VqHp5QuaafRPLPaH1JG3M5v2R3fqwPfsThFwprMsOMpup4h/K7YlZi5CrqeQRtgR4TufbbYI8IWZ0lw5ZCGXOco0JhQpG97RrnE81gRkgud1VWt/+8WBYO8wnVlnndmMTUwNoen3sMN29gBdAlyhr6arnRrlUDr8clzVu/98j6PrBjBOlx3i4MH9kwB/qdsPuK7C5FjTFUW1Tl8q+no0A3+eo7slR/8CvPENXnuT9v/ta5wDv8gjO29o+60CAvpJF8A/4PMxeZ8vn2M00zi0qv7LIUJ1p2gDvkU+QFeX3NEe7ZO2DptXNVxNrfKa2qhn0d3L0WR0JXBiezo4kxAUzUZvKJHo2s42Zx469DVTDtrxzcvg7Z+8SPw6slsa4gB00SkzQ+J68NsaW7hvNlT0a72Wt8aZototbdNrN7PUQ0boVLr+UFk8OCGVlmx6kvGvBd5EqGHmgMOzGNG7nshSdL+mr7mtkf+UI67MPF7TFy23p7x0SUmF3AE37k2O2a835T6uumyp+vJBOfrMo3mf9cT05jgR1KychiuPmwfR+ml6q/DIfp8vt7Xti3NvuZhNCw+zlcZ+KFD5lMh43s3vvinwnQtec2nWr6XW/q7S6n3vALLEr1/zCfc6ygS+lI7yTM1JNpraV21movTvs5savpuFM2K9N5wDFcqY7+poS0ATTcptgSY4aPQvz/TzTgUpS7Y39wN8oJIMPNP5MreC4n0qlHuwgc9Ae9Wcb86UdIAF12r4V29+oMxyjzZw5dBesoLDfTztXHigo3AAeEEB27tTDNglkG1mLeSr8psAfDNTG+DfJ7PmG2C+q5jN0gC5ki1TDmsc/jsJ8NcHW75j40ld8O0hP5xjeQT9vmS9tcAaQ7m1BKdYylTMRambRYHWAU0GPmX2wWF04LH9jLa7dx/9qlAPzpYrAX4GXdmZGVCVBj/H//UzL+GeXumQ3Q7g+0GLTadAxucOSx55ps/KC3gXkSh8nlgbmvoG0s/PM3gUvPY24JKVmZlkDmJqlZ8K/HTJbHiK2GO7Pw+m/YkL9P3O+2KhyuTFcG/6OItwY2Z+ga9fFQ/t0speOUVUDTrLKI4aNpn63wi8Ms6H+ZkKT1OrvYBXgPUCHilSMy+Ux8xs5lUD77YzG/7NUR35YJv5AnYK+j0PJAZdcsl7k8fbDinau+eOrKxTsRhBQ6+Yp/3eSjkP6pD8MNCdMiotjHrgIfUE/coAByoyEg1eX7OYf4CXeecsTbW17UBv2pW1cUWfgC9q03IFr43wWiNQBMXf1ynkfmrpgETKA2/AKkt/AF58Kkc+aMzcmuoSLEMPvux57huPIP/nzErAHMJyPr3xEHiCzCloAtNDoqTJqebTj7hsf+iwX4GBMeiQz7OQ98YlHyee8DPDOLd4exbNw6ydyviXMbmC79qADikzsfdA8+T179pLvuF63ufmm8oJTabnkhfA16FttI7pm2fDc1gA51Jlcres7UfltkllE5o5S8VX5sA9i8aZ93LNnBN7r2sz40qZGoh9JszcaZPHz//1+8IC+/B+9xVLkjQiVwzeh3ctA379PlpSGN4A7ecCFoZ5MeE0tOEzEK3GzJah6Vfjg5+cbiRET8z0KRMbu0a4lKIEvCST6QX9vi9s+mLC82bul+nx/1AjSsxsbWm1p5wywPxp87snS7kth40jTZ0586Ym/uvBZ0KYYIyRf09ddSrtdsdsNBFn2hMEGDLqm9Jfb+/Qm72GrF/MfI1PM8+LFQhwzXvgEPU0aD2lpzyzSEA0KUmnzH7BPR9wWoV2ZDALcLNMC32qQ44F87TpK5V3f18M/j51slWA33prNvClO7l+raAZijSakjP78wQNM5xBe6hCrqZ+6xyBTmDTAzzgC/S3l4LXAYyQwKPfLEBJ2iE/t7yfXPCeUWTVPfAqU9r0TwYP/u+7SJiUDWi1aiStyW8gLqcNS90maKzckU6OdAw4R0+BHkrWOgy1BV95DjrtYno9sE57jf77rJ3GUgx/l8XVY/C953Dq1WD6gel3ruMtW41PnkWDiGT9ZFWgGOFZBtmIf6iLXyXlZg/9kYp2l3U+6B9CANMW8HZLGmZO6thMRegjR4nR3l3VlV6FtAV8AvjozVjzt3cgph0irDEkdNJTipCiaFONSVdaGjFr70ldLs2weAdHR7k1283wx0nHxPTfL+qCXMiIr7DWrMbZm2ypixgyC7DfJx27KYbGnKF3bk9I2DYEn0Jyk18K+qoapyQbwb+Z/YZhGxBYm4LzYxUrr4qWLGVPuzbnPNH8ka2Zqd/zmuL6SuPMNbPU4TqPjZY2eEbTC/J3DvAbo4jlXXDvLfA7vdJcMtv/EWIrmdWGmLYzYNyzBL4lbvtTxb7EbBvXUWPBfVMSmV67cP9hG2PEF1m0ixA23Dt4W+dpS8CgfJze5w6aUjCTRVIBDu7BdYDOQDZg+JyuZqb61wZi4uO0myuqQWez9lOAfyAx19QhYeaCSdNygWcgATP2ak3uGZuyg81PIpwr5qKPpiDvGroXGZL26ISuQMhWNsSj09vl+vclQv5TjnvQKMk9HaSdX7YfPJzyw8qtJkzCGrRpYy2TKtCowHc2oJxKO/muHH6nAeiVgge54evgX5+lOxfgKwKVi5itoFkzxpVWuy1WQm5qGtrnLvn9/xA7A6e6VZe5OFq6aMbeY13C5DDtGZMcYueeOY1bjtKBdVpkmoeNu19y+31fM2iJ5mlqw5o+IYy2ad6RIC3azxS8De/JCUfMkgM4yJEv4NlhPbdJXmQu7dQR9NCnKvYPs2dqentUaG9RJ3nklulJGdrKdEJF138xD77FTiEgaL81PYZ8TtspdwHrIhJXTGvThx0wec9GVTLkm340d2L3C451enBaTtn+xc3MHIgXuNendJTJnz8Z3UH67Q+J23dfkSPt2wD8kJnL7uRaDjhGoF1QX/V/lswpF+qoRFG9EbzF5gTB6NhaqIlodGXWkrMRfJktZVkQ8Kwl4F/SqgJTxpPKnKmlsG7eNSNy2L9k1B7zsc1UiKcsv9/wAPKMtjiNzDwuiDvLC1nnD/kOrieaNjguzUxHo5su8vJnczZ52/mcyZUEysXpifsMuCcEr78pKXrvpVjAhw/cb3eVPXmStwdYy16DuG40r5QrNXj6DlbsU4b7Wz1mLvwOhZ87//W/zjbm3KhkyuGrH5pXAUreS8M5q0b5A/picw6/Nm9fmV7+mFw5M98NeOcJzGvm5G6r2kHuARQZrOFbrXnHLODHYQmU1c5pgR+Nk4DuTp/MxqczeOCG+t9iJDemcduMyWdagIYcQ6cq/jebO6f8RsV8O1PMq93W1Bzfq2iaGq06WI930E75AdRsHqsMdKUH31OcKTKu4FYN+sYc1PKCrbz42jQ9vzUuTnKBr3WBN7/vU08//3g5ahEW9kyt60KcVtfhBDg2UcDHA9Gt2Q/55a6K67EEj6JAT2XFX4syzwc9BQ4pgXjdmGd7rZ0khs/SNcTPSextbKsR9Ma7T2CJbZmw4Qq8kTp5wcHD+i/qbNaT+HIrM0NtJSaGP39rXIreqQf1IzvQfRyHeNB+Bj6ltLNnGlrPcpCAY14HXqClpi++eNqN+LeP3VJ3ejLNwXIhnVr2LwcQw+URiWBdgR5pB9EleeW0nzX8vezUT9ORErPMPVqbJ3DqK6PIPscYkN5gdfJII/RJiuaVR/II7PXWG/fcIfpoIZS6/gj+EK4T3ov+stSKnYNLdAZRWJuai04WCnw0F1vELVhbPSYZW54M4fCMALNBS6ZRuZx1smPW1NeOvRLEdznX79jAoEV2jYDV3iVu5dhHjBKq2NXNVs3OUbqcwu2r6lvgh783TPm+CTjNrW1RhaDnORdisAtT8wcS0QN97efc5IxZjzNgHofYgpj/t6fHV3XnsV6P1nLE4XXFMXh8nTk4VtfS/utmWvumfhNbz4eK5XQukv05QnNjpU8ePR8HN/mB+HNpQIgcp5NgnJj8Amb+3kIi1/qN86QxezOWzA4OWOEBPyiwXDMkiQKVdnAQIsADfJUS9OZQFsDdMerFgOCO0IGP5PfckL62MWjB79ri14ryPHPsDxbAM2EZaHf+9ikXFss9j0l2ilAnx+sDPL5nciEFYuC/zewOEvB8DkyuutCaw3t55a7/kbvkU3bMxcN8BBzdqHHvVuA9uEv2atSHhvNUAJuK4l0Lc/eks70r63kD3CDwPgfTv5LGemmi5ZoidssGm7JCfp9HZHJTmexTu6LIBU1t4/7L5QzPTd9OdXy9iaBcs1EDhsi1tLZlzngqo391HAPV+lbCe8yEKoCvOGBZnsaJ6WX7PDrTZ0ZNbfh+JWJeK6fxqqAlp1DnFZXP3FlsNti2AI9NGKyd6MsWAxka4F3poBIHgFdh+64NjCRKVxH2T9CgXXP54+WjHH5zFQtYxaCJU2dza1CzOUeWlaLU9JgPUl2aGZ12XejHOUQPLsxMwKRNYyIhTiR22KpiMihw+JmN35zygPWwYiptbClc9jiG+A6Bq3Illh/1Am8LvpsFpKpiGR8c4NpOH9J8y4FDQb+0mFr4whwZ5BQwM2pdeG7h0dpec/T3lQ+2wfB374iVh62WbIvpZes0RfnAYhtmY2Nmx7+afv7hcbaCZxL5yhbw2jssyD5bVQlaoJVhcuTD1MtoCqsBczzwT3Nyd7DIt8kloZb9na3/9r6eJz5FwItPEkjAUj7Wtt/T0fQgmX4o04vsv24H0O3g9QB7EvOsYhU0Zi+OlAKF5/65ITY3fR33sp9SLvgGtG0kxqtn1l0TLu+ztiobpVUF6IHj5CC1LsFPjiXgB3hm01/D9J8U1JnWc2fmjfsyRXpKwduxEbR+P9HGBu9WTB85aFjAEuCYuyV6vVJ4dsTaeLV+8/LdZdw/5T3HipMfYpOldObDb5+JtU3PATf5zK2ZkVO7Kqm0QqXDb+dBfVQ9j8XoFynjRlvl4NAgviaeMTuAmD4erJlVBd+ktv7XH7sCPQJ8/iGYLUuT/+Fo+zyQ3XE1s3LbEp5L1IS2W/f9I1ubl7KVBpzoAIM9FpLfPsTAUXEefj1I5P3IIEGs0D0blh3o1ukc/6vLTmQ+o5Lx73T1wWIT92hqEam6nwEBwKtd1apyiXzw3AusgSljFhmZzT9BnP5UEcmkkJ+1VifQKwkP2E1ENk0Hk3usfULJmF3+vLF3D+9nc7CZnVr97bdHmgCvwKeWW6CKCnITQksVcW721MA3mBrU4FTIj6wwfdT9n0bwR4XYs+mRAB89NgYrwu1PCnrk3Hth6ui3jvpsItDNLskzhh8iRORg6esJ+ZuskJ+q4z4fZQZK7IkdNMEqN7m34uheHbguM1fgocJwk4bls+GhBTr9BlxAm2hvtP4Gu8oC3fM/Dwt69kSTz5LLDWFcUEFMf1MP/CgBXWnVReKrcXoe3HKtqYqPFvFxVLrncJ5zcAt5dF2lmb8FmAnezgFP2jJnOxv9zGJYexDP7zopFugd+N6VCexIkTjHtQe9j0vwtVRa/Bu0dtXs7ksefz1pwU+mx7N0gIvDGbyMfUxDHfKARKBV9SlcwFWqgMZfrug5JysZ4Rre+4d3LOTYgMYDXZGeTRaZDbxiy1zSL/ckSJIZ7zwgcYox2BT5aWZiUTOLY0Wr6HQnxBM4mMC/wbq3mofskMNfW5GupGzy2adsfufbfJJ8K/PIm2SB0grQnOzmH+B5As7oTiKIcCRxOSwCfOmlhM+C9bBnOvmoQvIhonY4CQQenYfC5HtYUlQhv5YsKUWIb+kwHcCXvXOkNYlVnhX8WJvc5ni6Kt7ehcbmvfv/9R3XOe2TrNGTrl0k60KmFWqPTawi0FdXk9ND9O98PtBu/r7iuGLOwmuE3f/3Pe/9Xr9yp1IIb5NGy8HUZJ3YQtPYzL37Y/od2OcIfM1IHphdX4zNk2LbnjhmBoPpp8LsJpZSxemL9f2ztKdPMwOBAV4qzvPjqsxZ0Pu+CFz7XuTzg9nMq2J8KYuW0jCpmiiZwa8YXxGWbnKnbLs7C9sBbag5Ilk6aFTm2wuBNcK4qaGxq4Mjc+W0O8D4DYuWma8aKTt757T7546k0kahtGxKuJqO699HNoDXfm3tE2u/qxg4wOSudpmph1gVW4IKvLXheGo1pl7LrYAXDqt+lba+NlbLzp0W5xhQJLQdCbHwrz6l839EYM6QkpYG/v48yn3jmNnw//XEBR8wyBF82eDNJcd5GqCAisYrwW9UlJB8d19ZvmV5gD0hcKj67R7890c+mNxUU/82/cvHVmP6OFg4qkf+OBVmBg9ygX+Ad1MbPo83IXpJMXuAWbkK+Lcc/1p5WK7NsLXrEM2gO3KIWyaRjhvQWs0I7LjyQ86AP3W/nHbzG+fvgAVtGmCU9ngs2QIqQ10ATzXTxMn62RVRsgNNZnLPEHO8hFuc0rF5loWZJfHXy8YpoEj1ZuZjKpYuDzGRfWaDt97hwXsd15a8923gGWvq8gdzkp2g/h00oaaB/GACvpGBjqethtgNlbU1OnBV4bYAz3mhjvedWk8H/LQ5U//kyI8oPIu6T1LS6azpsam5nPJhfp8FgJIz/b5lZ+YZKUs5RzcRpibgN0fanOvttlfM2owF7akcCapp8gQ/7sBnjXmcaM7li4L/ywZQGuCRzawLkysDWqeH62ll8Z4BOucMuAaHKGGMm9lMSRV6hzO8E4PlZlYV6Fhwo8jM0bieh/nzFJHPU5w5Zs523SkzXw1iCJZsDD4R/DS3y999KPgbwdk8c/T11thzNeLKzIsksW/2ocszT44HWx0aun9wi9yoBi3n3FesVa+EvasYoDrzTO3ECGv6UGsdVFyK5nJ/AZaA9ps+ldlzClqeUWbBOnvnBB4zwZ9lr3PQnikLE4v3WGe/890ys+d4N7mC8OwegG02i5pXrSdLar8/mTNf0AjlkL5ScDeATz3E+gaPcmfmVIMmdyVcL6z3fzmcppOwGMEFQDyfTA+cfhscVgVetbdObEJy98dLXWnmOnmZmZkegE+wsD7l21ttckJfW3jHUpwC/ycXpXdcQT/aqAUujCsReo1F3rGRVUyDy9dTLVBveq9iPT0h9i1ZhC6+zEPqtj8N03vGueldf4M3BX+nj7LT4L/sj3OE25zJKHO2TjZIkkZqYZFKJGDV0YX3aU3v75pEhzx49qUc0SIDUwuSZFzzJ7Pw/hRtrzLfIsHI3FD901hyhHW1NIPJiSQvDHElLY2aWB8bw5+sND1Mpqz3QNXK7yr6WrCF3n6Zqh4tZtJ9RlMH7uUmOLJl3Lqq8I9w3b95dSTeW+WKcdOlNnfbfSXkAGt0h0eTy2E96TgN5xEkKvr7BL3dnmNi6renurc1YMD73Bw4AQhn2HrKlZfU2liAqXvQ5R+N6XvE9C0V4Gxc0LFCgm4Dr21ytVmScvt6Aw6JAZtvQquCdM16HrzPE0+XPEiiNAa+4PtXNdjvPfPXwW7Hajff1G7rEPARv3M3O5yZvsLVKvXR5RXoOYut/osy9jI5eKB5usZOQAstlI/om9tgbMJpkjYPpKswCT2z74UYTcxs8Xcf6W8ZLtrMNM17csxN72VbfbO48VIEOq5oQR8lFeiMitvyUfXAizpbT1RnfEUOSMc9XqVfjtN31pn54KY/uFpPBXiUGDzI7s+jtv93XlkLfTFnXlX0dOEdHFjXb04hisz8nTTCmYgRVyK54f/6RAOmkp0Cr3DufEf2OiLcx6AP+HHVZcn52KymVmSZ62gpWAhc1vdv3ftJRe9BrHWCtSG2zBQ/sjM9GYjGVxnNd+LoG7PKWw0YaHKxmKvNGftHszbG2wjc8U7ZrZAGT23yw3q7PzrEg4/9wKhFjGX/NLYM5xPEywn86ng2WAgMXTvTD3DKPh31zJ1moxzQBgxYadA3MXjgk/kF8ONR91/WiYerDLCZUS/TWGMxhGsOEjntl67pkuf5sn2f62nlhq/MbVzjzwHpohMne1JMBOLiBr6nFGMSEMRZpfFFUDOjGXsZ6NuzyWu2bKRcFFUM87LfHqrI5Jcn35npp4L0nobyUaP9vznFOf+ymFCHKvzvDJB3rWBmnndYvkp3SsBjMTkQJgL0QfNtdtr9sXDYFliTDzlo0z8Yg2I+ATadwL9Epm4hs7yMm3yQISnO8b/cHu8US3wGJDoLLwc/6+SOfCpr/uRjS3KErsSaP5owOSntI9Ac1VmY/t5kU5mehcx+pMGXxwZzHtDuVOCDS7WDepiupbMFL9wu+WUu3rkHgOUz6E2NI2KD1jD9Jcss33pnNsdVeL1RhwS80Feyhk9TV2xm3qbMI5ynTxUuIe32No+lzfrtp6IckxU9Dw65p8AtmTURavF/uVgsbkc14jRl80jy2eLaj1Mz54H2LnzPI+3lgRbowMPS4/1vf+xNGkCciy+XRsvuVMBapKZnS1KxcX/DYemcY9U2vXpVFPO8k++5t8vR6N4Q4tQGTtXTHXT7z8HZWJm5fmv/YAHeHVzpnEMb5bEET4MKYmaC9plXjjw8WNebCFWIOerrUdpn7X8DTjvAW30zMuDMf30quMlbPQHGAW9lGbyj2tm7Spc2eP2RxMxJ2eKWdmiR1/0mg/5ZAWed4+uDWrolq3xhN30c19StoubRcL0znJyuoGJM/kaIXez+21seakoS0NwvBc8MfPKNhOR6dOYjCRP34CxPxUozV/Gem/wojiLOVJBf/qwCdDxwC8l7uyViewMNlNX5jOGOg5TJHfjg/BzJV2bh995XDvhQEIEPZi4OxFegxJyCpt6wgEA8tZ/Y9EVyiWNme+e9BJwsbc7aA+CYJMOiz5rnpJBXiIMoA06r8nl3CluTF1WovnXOhf/2eiaXP81dcPcWfzHrfjtFmlW9OWsnRU39nIZTp3S7wHrpuZasCf46TMtMIF6Uhe64Zc7l+tsZtUVVZAv4jY8TsBAO7Vvu+sLUwr1xHmILnGaCzt3eYj3hJU+eOAK/F/6B6/jzODryerCJYCECbwQxzBLwE74PnndOHe4ANke1g6Ns2FrwLD/M2QoL1afopyUfbKu00Vv3RrTwwavaQfmbl5LeWAhvLEBRvrZdzpY0tcjjzNSPFLYHendPuDkL2Fu53frga0Xatxd4ppdsIFcG+hk4wW/CCdYGfqTxdWXD9p1TsUl3W+O3WvpfPg2qVxQDx8xi2LZ14U+mTw+P/TY3s0ECDnFgf9QdL3I2kxolFbGvTuXMbs3D54n7YbqGntSEAMevR1uCfp3evT7iNCBjxtqJMts/s+yJB5JR05+wmEo1SqcEB1UV7dAEUteDybtovwGvvithfKXpS2rmcvQr69BPyb8g7nt457OZI3ABH7aUgKX//11pHuNVjFNRsu1YrqQD/YbAS5mZwcz0KFGcyMre23QFXReZ+sr9M+vtMS/UpPT+daaNdR4TLQslqHVfTc0tAS356zHFEuWv+7vnp1cB25Vmj41xH/gjliP5oDoxtbUd75ul4tMF1swHsXqXOXaYWltXof2DxPojpzgrrbZLrcQzs0PEoFcuWga65sJ0sksL8mCDfueLrtyZPcyT3Rk8ZEn5TY0kyVHyUWpOgQ8grtuVrxD7HLOGq2e2grcL546OoAf0VIDOnsWI29SepBqWrtLhEzM+1Z2ZESLDzLL7//mU5QA+EuOhX0ArmHHFgRhBQ/XEB52p4foJ8OkNW55Q5jssk1+aSAGOvd6BJhiTnnXMqcNtxQf1mXa9h13/DusqTyM7Ui7v3nuVKt9ONZI94JdMA3jXLFnKwk8xbYUKvh4HOzmYHvmK8ZALCVpgGwOP4bJfRokyl42NydMJZPhnBd/424+w5O2ROdMsHYxE8fd9Ro+E5qdMqCQDf4CjLWchs0SUmThEgNkdXXFLAYsxRAlo7s90sBfp6ExEaqOK6yZn2w8zr/u3l7DpVb2m8JvtR4PCBRf4kxZfbw2wiIH42PRzcvG3Eo2b8mQ9iwk8ue0D1tN84AjuaC/EDH7QC6iLdS7ShQQE/BS+Y2sx/JMClz3oSD5TcX2lLtrgIFwFSvYMOPGd60gs6UjKAXtAS6KrlWv9rIPW5hxPJsdfdNh4KnawUWZqUkAzvVLn+mQxj0+RGkTw9VKBrJpQJUIn84lfF3D2m3NPzFngxswCed+XWpMX3m3tGlSzNOfRIzMzSj6bIRnAMw913L8ks2fFkoS7iVtbpK9j6fKhX6Xr99JGO+DIFDtaYKt0zH46Hq9uCajLnHCDQ/3eSxF5ZE+1C/cSMkdapcnDGptCHniRtOCLOHwea8TWnH2Bj2lHOeI9+Cxf9l7E+rtVjonNutAtL388eKeOvMwf52HzYLBIWWRnvPj77gMD2kVfD24yN/DzVLQls/tbKcjPqQCO1P6x6bBbOhzL/mpmLj0MRx5fWxt36etUMLM3lKcUF5XrP0B3dRBrDmVtADoMeBX05P/WV8htchch6JLXdgbueoHW8Ui4d02tD+jPPXBdX4PLBFS758BV0tqG+bBZskF5mOJrJiaRD1tqanWUbc5E/YI5/YqD/SqKENb7v/UF/7VFY5cv0pWPhuGK7rZdxb5ukuIydXAuefvD7YSLfI55D5EdENP3uDis+01unq/ddhAH7Nx9PWjPHynjn3lIpozxNhXeQAf0zmdLuWYeD/wd6IBNtsKnieQH1vG9LtKN6b0DfBaTFfQURZboVZb35uTwj1cN4AvA49bOYteincBjQGShORfoAFpjEWLLssH+NLXQ7/2NTLQh69prbqNKspnn1t7JI/XIGc6qTsqDhTfgjz6AU2Vjf71koEChcJYP9ycT+xvwrE6jrekrtFExiaiFnHrwLji6wnuYXdWTd2zgbPUtiiYXU+2ee9mRiM8qBKPBgb0C0wsVPpvZaw73BhrmkDINGostoMoOcH0pPNVLJu4LjhDO+0RnQ3JnArg6nCm15PUEL+y9v9FA4IDzfJbO9ORxv55j/KQu8fCQ2eK3l3p7BO9+pGvm/l4XJ/jcI4/YuiLor40BLyo3mZpYf7LXnwelbU8QulG2AS2W3Uik3v3n96zze9DlRSp+86cd07ObOdhPHTOjMdxkg76Ct3scXeDk+Otmem2mbvkou9+9rTntVKeYHSvUuBKZPk1oMnOmZMg9wGOLRtv33ld0pqC3TP7CgA7nEX2WDhKl3XuAGT0dlgxifqQRB42yv1VDc8sd+0ex1sxrfElzBsoWYDJ9SsEnAvfHpmcs6Je4AjY5R1Nc8ea9R1Sk4xW4iWs1bOPGQQ6s07Cm6gMw4NVYOpHDZJ+K9oOafdx+sbizyNQp3RRpk7/r1lqLM9UreHpTY/LZCJRXg85zcCLnwZsBa8N3Lhbl0hKD3dZM5eBVN6anu6nlLakMT9SfaQf4MSwPHk7ApXwE7SgqavjNb0FD33M2BemAToBJ90rLHS1IXmtFKjv5zjtu+ti96xD3pxCPZ7a9YPAwZuafmQMEeBHXsZ+mHfDeCqgd+8+yVx+V1hJ0cJGG013QNgc+O2TWdtcA7gOHf2ZO8s16LKrAT85FeyLOlGPn+f97RHfn/F+P8EwUnHMROrhAlUDys3L+2Kf8jw3P14ZYnUqKh3NHNuD15nQ0s7RNDqa1AVy4qMs8yMv2aPqspRyEVzGZ3kObRiwrsfFbYwta4B1x2rUc7Mr0ZD04k2YoAZ3cTkygb0WxmQVk1vZeunrNOhSJINzIoTG9Qjs1SFgb5Lf+AXTNSji+4j4JAV9L6uDr+X/5h0U6LHY5ooqz+ZsUGjfW8iSd6gFbSlakywmZfg2qK3t0BZ/7gUPA2QF/l4N8ArcgHM5JbvM7YHMG2E5573WEhTeCuN8Me08W8n2+fDvRtkjBh8J1a86+HqTzU3hkvXK0xwVecJgIiHNfBO3T9KAxebLK/WuBp3ZSC+5aK1pftvujo6KmQ8ZXRo2ZoB38fYD7yTD6lyMtgRvi2pZBbXl3DJ5GRhy0LF9qbk7u2avqPS2HX566gPfxVFyaM177zLAFHss1tfHwXLvcvDfEx3robw3193nXaiW8AncqeHtzzpHVsG1f962QBfbOHdpJLnUGscB7vmHwPMHngG9NUMNNDjbBcsg8vmJ6tOSzcryhdPdLSUEXddLkM54wuz+48FIZ4SvfbeO37q0t8O78+mjyLWoi/tmAN1GCWbJDCzwTYLDtTvbZ4xyBH3vNBXXanYrbuGHgvah/ykGTcLYk3EkNFl5L7afnyIPn6/2A1y/K8V/+vMkt3dcIpTkys6lwCNrEVhGH56UezWsL2vwvfA94QKqfDWMmo1A0oIAzDbg7Iquy1YEVJDuh3sEc3XmEn9yctzigSTpNDu6/MymrKYyu1ogx/KKDfcSvramneWXmnZt+9U64sF4XFTgrHv8Fx0+WxuWgv5hz2m0r0mdu2XsiBb47j+SaBvhA1/3tCO/3aG1sES7v/MOlGklkeqWfi/Ihae8eVz8zveqlA1EYZw4N4N8s8Pjcb+F3yxPVoJvIh0QTPXfJR+pymRb6gwbJi4XWQ3XJi8TAg4XaHVwNHPSuoZvT0tSl9C0+gvciu1mXI/+BiP2sHcAj+CzQQTijf5+pM5+ay/wQFBxZqPNabOPKAiaOUQteyE9DAs8hXE8UjTLWEhTed8bQykP7vefAAas94HlO2QT3ByvGWdZz8LWpreXAnLZlsfw5hVOqwi1oWP1Sl7tb2uCMOsQJahPiXi1YC081huCr93Yatp+AkyPW6eN8uT/BR/1vbmCvchwkXe0iUo3tjYypR4Wcj/beAb6z4VWOZk4qM/000FSQoR1LmthNP5meOCcw2yus3Q8yaFgLpvecPuAYoj1K2JlL2oTvXtzz7/4C+AZgGdyaPtDA7Y+qn8fcTh3Wc1oFybUEjKPg4SrLY4AjAfCUC9rjCb4bmX1HwNwIvPolW7GFnfYDj/pC4mZDnZlXYnn334C1Pd9L8Hl5iHeKouIck6OK+QHW5yaP4d2uvel9EYI23dcifFXjX7s0sw96OTYsfShLZTwmP+eoAW04B9wydYhfS+lsvd9eo0Af79zUGu2tetjcZK/hOS3gy/mTCi5KJn2FrqDXFktF0yAi+5AO/JH35NIM2zGz5GfOkvIULYczTYD/JXynvxcc+RkEQcYxZz1g6Tj9m2nCxTI1wKG/eT9GUdlqbmJ0yfn0omCwpZgW7MzC9MWQ9vVWQ5xg8Bsl0zvw7J/YlZ8Y/HrjAkcy+wXvzgZ83jPWPHNLg6aY31z5SAOyS9fEzSzUZcN0zUFnMFAoQtjPppMZ4GskdtsN6f6a2XYnGhEzM7USgMGA2YOZYyq79jPrkStH0MX5Njojzmvw9OVKqpyH//YBgGd94OZ94/51AYesczxFgMFIrkkPGH9jlreXbKvNDIgqAM01JBkLsE1W/tOwhRPAKyJkJ0I5kx7Dc2gfCvk/UmTA6RIT+u7pdH+ofvMA/kshZn/zVkXQOJxmr/9qmK1XoxPTpTXDGj0w27yknmTqyoMoJre2wXuzP46JB9AgCLMF4hT4VzQWvEPQ3NjMIf23l1K6/r2GNZCa8xYUvuD5YDE2Tjri51mTonSlLPvtoCJ9Sx3yPEXZi2gF2suy0gEn2ZgUDZBxHqME4oTyKBGgMT0ldI9N/ZBO397cgp/fQGd5WPAc3n/HhZo5lbQc2FoPLSEmvzQkR9CDKV19zkBb1/Z0aUJu9pkRCxPQaxwzTjgbfQZ8TUzvznxszexnhHvvvbdsPLyTCxt+vi2zfO6Pawg8gz0c2osazVxJ9vzt027JGTvmfLoxM8IGHPWmN+3hHLef8N0sLRSClXw4h3wjmEI0sgG9/5v1+dYbv/uF5rysVxreN8vMeeawvakOdICtUAaeBhCnAg+TlJb6hkioJO9fpuIeD8lSiuVQDxPgxZweVnUAL5Ye4PPB/0fSVU5V+G/+Aq0F70sz5zz+1tasBPUQya05dyqr4K+piV/O3R7iBk/VAH6k16dsQGYCWVtbfK64Bs/A94SipArbAxWWxSO7J2IGjUsSBjrvjfNV2LjmXPE8aLcS3kSH7aOy24IiFfB8e8sv28zMdKq7dgNrFBQh+q19apDEuatf+Zjc5eCVpYsno9GPlgpr0Ixnin9k5G24++9cLwecrZoelRXrbdLrlFloINEWdNHXhlqcVODpcSQDyXSWrhrXl/llek6xAocQu6AvPdkM11sK/JJDHFagK4Xw4L5nwAXg8PC9bzObvEs37+cUNI6lLLvkoak74DMN56kpsJ2afPEA3qeZb2e6nPYJ6Kq7xyJeYVePaYePTec7SvDvxkrafP1yml4+eQfvuVfHpm//9Wcr3ZY3BblnbOvmgfoRxZddWXbCotY+hVvwKBLwNQH9QBbM9Vy7eA945kvmiUpYr8wxc0DUD3ifE3fwjruhyzs9w3qXhKqjiOR7Dt3taMF1CJVl7vQNHOIfnWStOep5Bx8XEI86kqZ2v5EswSki+9SxnXzwusbRrQKUKFefmbmD5yhbTF+T48peqWW/Uhsf5GW2z7F6eyLgVd/MptwdHS/mw5KfA1TWNncyULtGT56RORdMVuLYe+wqLtfWOocK+DzbSFTeWORZoD9jok3ufjvgoEWZczc9do6lRj3bbf/1rAZ8qkQEzz1EUmh0zW324HGrGzHDc+DOmcqoivX+xMAvsWUALqWAxVPJ0U8t2AN8lg9IPPJA7cXANdX7Fwt8Dd+hqVN6Zi7g2y9jlsHaVT81aMg60iusLXIe2hDbX4Z7LtVl+6kGnlW6XRprDuiqSgl+G3zkqATpKbNLYqNrE8H6Z+RKe3zIXHUCDzhR49PX5I3zrly/FhHhATDsUBbw90jhXFibJtbPkrX8PMyHgxNa4JvgPRGUab4z50qYYsFec3TiaqhiRCBmR+L6nAMfpQivmaWQCNBP5kxvbXM/hYCvvelx2K/V4P2Ab3PN7GbTUxMXsMYG9SF7EjSD/jyF80c9LEcqIH4CyZXDbLn7szG1IOAlMkHLF3d18dsLMFyeskhC0y//nYtl5t0B7t9k6H1L1NqAtaA/FlPXd2eAPphJwB41wrVOub1/Ecc75D34cGe+S0dTHusq75PF7BOnv/P42qkC/weSAzOIgRKQ4Z23DNy2gJe6Kov70upvpJ8T4DfTP47VAx9Uga3GJbdmhfscyANbXy7wLwZ9/cQ2/iZc7nEA3idaTC9f02Owwrs5g+ds+uBtsuHtHe63Mt8maaRMLUvXuP6uGq83yUzvUAT+0I84b1Oy28qmT6rasTH49gODZ8kGG3iLrRVoKKxJK4XXgScPKtG4VaFfNZuB43snZfZ7n+2W9nDVYspyDbppRVkdqg23MBVx75I1sSoHPbn2X4DbNzyYfqNfjun7VDrTaOb/Aucw2tsGm11l++GvprLskIbSwwgwpEBvX3kDrKxY8fcGiyswZ1DnwuQQ+9VvzpjztKiZ6xe2FXDpXA9oX1q22wyex4cSsARdzqZXse2jc+wf05F8S8EH2TGHh+asqQfdOd3/+cph+iaotHEHiGbqtaJ2JwPcpTb5AA91YpG0U1ud0gD+1QaMjaYEfJ0liuwlCvJD8j82PAu/6RrPzEqiYmLncfrIgzbLCmV63b3PpEoaPV/1bgt65+/KqL8eLDvIAOcyGx3qgsM7IqXpp0R7nuRmvleRlFXfO+DPHcCFx7kzPeOWT8DOTcpakg/zWnbpcg5ITsNWcHd6v68LRZMHfjLi0Qyegbe80LeSbX9U7C9mRoMY7GfpkIrb5ZrGiWV6R/76EN7uACOf8Dwqydq16vGmZmQGjp7ygTtMtz6hLfyteteMlCKcot91iTDNC/ArXF9Kxh9p99dLHc0plaBnSHcedd8MKDbrsRI4JdYCGhjlGaxV3E/+eTePp8CXdQH6JvblieGZO7DuIu+9t3wE7g5/z25s3/xuICj54eCH6k5+HsHVnSJ0Iv/19T5lXe8QhPfpABofdCm1s0fGJlifE1fR140Peq6Yt6+GyYf31Jm5Z9mo2fs8BfiwK3n2oMDfgPndEbQv6M4ZVKiZG8DPQfIDsbapI2RqBe1yuNvgWbta6FTSJAGufXBm9rw1aPqJgK/8kObsJdBOCcEMmvGtD+FndkecacpXZOb6JXWvKWNzW1nbPY3MHDbyWffbsC6mSvU2w4F2lf77BG9hib7ZMJS5uANMtpZIoWStClmlHcqbEXC8x8+Kv+ukYH1FCP4uW8j49SSawLpKmHITCe9vgTi516iNYUWYnBKf62nG/ew1DmAq+N2c8oPpV/S7PyXkB1+zB+gRv87nAQtZEdDjZa/edRxFXnw9qbt/AvZFnG1WRdtPLJaOhN6rscjpPMoPtUpf9Fvc9DxiDvqkReKfIu+Su4lgnWpzBy/U+bql0XafCdKxVXNw7ycOJqcJ0L/aW97zQzpKK7PwSQ1klQw8SrjfEPplsx4fGVwDaHQzj8BpaHYjAwmUtc2ZBXhuSVityvRl9qmDfIrQjqKvVfbtklnkKUzNu/2/8xTC/U9J213F/twEk59ZJ0XZ8ZjF2XJYWw7rG3QbMC1vbDMXswGcLKnZK2ovJWc34oJfstEIsZVQcMuczRZ+3Zfj689TxMQqC/Suh31gN9yQHh2zYfPkBW/NnjcJ2zvtzKl5e8i1bE+FX1KRrqeofJQWhliQrzKfF9BSERlKWznqUnYtYaFeVG/qj/Fd2e3puCKXob/v9wW2rw2AqyszJyVd/Y+UJjFoyW/Q0JYCmUg6BDz7x84GM9dFZsxJTZ8GtxGtgy+zjyPPJcx+krF5cvfvDQscKAExQuUPdvSYCfz25kHV8QPvl7DstM765EM6RIiOZyeAmjpI7ucR+yxO0MnkndIkO4ftDrRHBDEg5eqDTsKt5Nyp2OynZh6YLVEa4AL4GXAofZyKfzXgRSm4LYp2OgAP1qt/VGzbgt5iIkYF6dRnzWX525MGJUJxdDyZPKFBCx7oBLT+gQngSdQ+K1q65/HqpL2cAUMv9SrN/rdtPOl7Hxu+K6+chYMns89d+2qK0gNtJs7cz2GNh02HDmZ+AGg6ZvrW8jA5UkvxozWn+aoEY/Y9FSjMO/U0/SdErHUzhE/w5/gIK4g69rsWZjHzjHKncWprO4IvlVWvMLOSb5OvCLpCAgaBV5l28LOxYTLgGtTTa0bKnr4rhhH4pGvNVVvHphbGf52ZJLnD94CTruiUOed/87Jbv7Y862dwoESa+aTYebrAp87/z8HJ6i5p+dqurCdx6ni6jsIn6dkD9PpTDN4mdX7nZ/fKahMZkivebYkMt74Y5I/S/oEN87v37FBbXpYXpGD2xHn/XMTYO5WpXXf5BB6EnkwdSq/c2kZW3ks3RVdLaOKBb49owXlFZQn64lkHKs75dEoLPjeWkudw81Is4WeO3+/Lg3hDpZB3wLtJdMkLfGramF5zYfkEHYDNzLnzkC5UJ8ZTU+BrCvojTyP8WWlkeqN2J5o85YjupcZLypOptNuYdb81XVEV/ZsXwEtr8hlwgNKpV9Ikz1EScWtbAI5X4LPNHHeWOmbfnhASAD51Ksh4vykHRUikMOcEXP/f28HZtnn09TD9fU7B1ya1FlOjjQlokHduD9XqBYh1rx2EGMSrdO7riXmZLExv4Lud2TiUwd5lsD6lM2+wKxfwCELuthGj6TNf5Y/pvps5nukduSdx9qq0P5j5DSfkZ2rQ7zNEdIpMDTd/YqdF+aBzBZ7R1EXC+1pA96+gFzJ12a6NjSeTG3J000dp+2XDZcvAP1EL78lgd3nk2TlTu8oll7pLN1iA9oq2D+J8/fNE2QpYMCQfNPCfwH0rePsf+FyHDtuWsu1GFo2Tmxl4IfHTcGNVg/rMxga04XQsu/BZBYD/8fUpBfikXtoklL0cbFKFKMmML/hXWzHvmxhQ39q4zNFJaUlcmjr3OLQA6x44+rOysH817pRxRNCJ+7fTbvsDHCaY6wOH4Qe8wR7WGOg2PYuex2TwBLGkpxzEca8nuP/32c1vjqiyvA7edQneroS1StVKOrr+9Y6O/DiFS5AV/pxyRQAPf9JeL024Rcc1cerA9PfTCOLlWlKS1uCparbZgNb9MLO2j+7kyvHdN/W+oWKbQbwF4FU/6Egw+OOArW0FePZxDjFLQb+aWTdmhmsT8BumKqwC+O4hW09h8gPYtoObjsBde7lO7GYM3ZI3i0JTyTr/noOHevtlwOwLiZNYxjrPaQJrgrwY5Z2pQ2LAqQdHfpYOz4hFwJNhp7LbUtnqs7T/rmcWWnIArgBdqlaz96RhBZADF3aeWxBLwdftFG3eZzd2bqNnBnKX9UkHvGXBNXcpbcUZtRWP97c6MmfMuDhH2gL+AbzXT9bJmBW+4KG+UarvZdH+nOLWzF68m77EJJIHETUvqmWQuui9DxA1DHkknD/NXKs6nEFTQeyLGQTVzFKTPzqSi8mta4ZJq8je0VGy3PJgPSibD8AzAlug5XdyJMc82o6gPwJ4d59nlhTAOx9k3b9zHXkNn8XcvUfczAGd0auif+EOkew173C/FcrxJgnRAno04gUo4GE+Aaa8zuLPUo/Zwhj5ZqOaDysoD0emR+sO+rdZK8ZMfuqRBPy9f+jklplL/ueF7ewldUsODmqBgzF2kysHTgLNsElB03PQZVU0f2cFyUGjldLlHxTCunHsO17BaxYTY275qOBZgG88lc79RdFfN+XTm7+GxsHHissE1gtj2mQ5S/A7PoN/t9SoFvhZCLquKFdyJGwapcBPGd4XZrcr0aCJOh+LCPknlHTSQiET7SsT9xWPfm78ASyityfCOUKujPYeF8rD1n7J4zaVmmMSaXESdlcPeARuMvUnHTHnjQEqqwDxM0Il774eqbt/nbvyYXoOYPZnAX0Rykjdcod8n4LG1C6967JfItrawNXjmc2D6uWOalgndusQrUADzIizpWSFpjXCvLZ9+MzeEQi4akQe++1d5c3Umj8oxTEd5irjSZ8W0x2e+5WDRsnGf/Uph8b58zzvtv1hDR0Rq28MGliyhOWvrQO4Wx2cZa0DzCszCztITJbGhjB8zQCDuItzGaKWAHkCTs5Ma8RDtqn79ihFEpbjdBPFhN9nAaU170SYmnoau4nRhxiW+UTxHqR4khbqM4+nAeJybmw+40iVtTmnYrg8hfZI7YRmnPTwv3km7Ccz/n2VpgfRVf4fUde23CqubX+Ji0ktPy4CAmMjB6EL6A0QFQICE5vYmK8/UznttR+6qvfuJMZIGhdpakx08CgNHzn6d/9ryHX2EL+I4AllYdAil2fF+NXky2PHMjWJX5j7Z/AdDmj0A2aJOcv+gu+2VPFg44i/AZuuOOYFtfZWS/UIOuSGhS1+c82Gz8fLEwHHaWLP55wDRkV41/bpNR1uVsXZnQ0r+EA1Vy7vKpvcqMCxMn2G3W6kEYb5RqIz+Ck5rNbRvew48IcsOo9wbMvxzwq4wjP33x7sSXJY20OXiL5zYM4dzH4ijf2RxHhVmwYcAY3u/NaEIOCxQyU48AkR+eYL5oBcofj7bHpqa4Ja8I0MkTsXJtdNFSfwnMd/tanLRJF2G/BUJTVnZDNVbHlWYfiQsV+oSF3yIVnIsBI8rrdy0g5Dvq2KjuRWkpsckXRc77jvOLUuV/CWIS+kBVq4J6DKqFg34OFXrb7HQHuY2oNceA8csafpVUmZ9VB9aFVOY7GQXwl8wDnqbNDRd/j7Jge+BE34UW6/uTn4/++mJiO21vHkLA74clh7Xd8WSXa0upc+nBSbcerq6zm+XFkEcyrfR9RkXDi7TVqLhwPwB9bsnGx5VhHyyrF5tIH+MJpDCu6VJs/W9FE157l6vtN3w+UWLEo8pJMi1P1fHREzeB4Qyh1yLHUHGtZkoHW+KAY378F3b+n224P8uQc/5M2NIB/mPigfEWAKaKFxTaldOun4x6sG/cHd7gj8VgEmvtXR7pGN//o8WtTRFXgrB4d7Rs29nrg7c5Ozupk7nnvjWLM0Quc83Jc0AK1LuwE7dp6ajM/i4qYMgUPI7qXLx4zzCHjerqLkeNr8G2hFB3jtVQNzlGKFh94LGS5fgEGH3J77dFCVihKZDvPMhFekxeBVffJWsi6s3veLgIXeBvJ+pr45XegANgSsccafywJerfovy7IC/26bvY5XrSNzpAaM+ml7dq8Hmaabegc/5DPxaR0dZtUs+QYdl1HA/9SyQYN4Z+WSldiJltP8llqdB6pkg7GzGzfbQBuanBBHcn87bfitif/VmbvnUJ2Zs4aKcYa1/y5BS1ZF6ODR1F3JrHEv1tFaL6D6bMlklEYD6G15qQr+kbFEmBxOQknZaHRTgfrAI/moR54azFChzdL3/Wt9uUeHBCdL9/DMDqNItDTcZfr3junY9OVVwVqrRvyTa8yE7qrf/FTX7LTZsunx1zkkPxLmonTZmon9KbXAq/a6BI9+Jy67yvHw8uZeKcBTbM2W9X8tmANUIj+gEahEG99qgWUTJfjozF9imsNyPDxT0AHlyJ6pqdeDf1fRsmHeHTEnb5nrL7Ulu3YEf96jW832Oaxv/trfkAg8LOfsHGpUAkeY87DUAk0GuGWy0gU3Z1/778pJeD3srxVKQGcnCfzcV/21YOqSIx0vz6wvH82gaQXjmBfgtZ190YAvBhx98ddaa1C5OjkpuyMn69PjgHXHjX+Zu/yZ9oVgFxvWV0Cdw5bG8sE3PajpsFOFpIChXmqH11zME30ulzRMfPj/fkTha27u2BeXa6vT13nlJidsNfle0pEAsJQ70IccO8sIeukrNZnavS/yibupztbMRWujZ5KZXB0b8XQjSVtIO3MA2aPlZnx0bqlrUyRl7cL8Ck1GmX7VpTBJJYf56YNXtU02fa470PAzMz0iUsAKal8cxew7+CgNul6wgT8k/2vl0QK+FnyoJpeU83srugQmT6J67GUbSmqboDTq+gxw9r/P8sFH9MpNntnmZ6ABHwp4jAo0w5oB/gH9YUvvaOsDnfDaRqhSU2djxKOU+0c5PDbT342zcjVZCQy4GXxmeeZIc8s7VxFxYC687i7NzDJn+uph9j1MZhM3/5h+OuANjpbpnapI2XcWGZmVjeSRvy/byU6v2Sa9hiYBaMN7G3aoDrEFuu0uC3VkzrICr1BQoTAG/7yeBA1Ncmfp6y0pauDlcygFjea0QnoV9PPRxH5o9rUqcHBi0Bc+6bmKVrvVFxiP5V3q+YtaSQ/zx2T4n5tIjzVoODHswcknh9TuXrlYKS5UUsEwE66/wYmsTJOjGNaUGaVLfa+inytoKNBXzSa3jvBYa2UBl4/4JELk1/GcnbZPm/MUvDeIxjHp8XPpYVyzjBJ5dNTrHXYC3o2cOM/t8EEHYlHUrCb/mTJFBMVGOQAfyqmO4W9s+IidxxULdsfFX8A7eTzHCeiQrle8+yBojtJ8f2NBuANP8QVzyc5E+cKNR8P2fuMiDu/wmBXlNRUHjznqmobGqySxMv0BTV35xrZWgGwRpDN5aueILLBOQeviC/AtqaKdp8bkfC4SwDuVN2NoAR4eK2v/b7+XTurb1H2Vru+VX8uqRhSKIkFCmD0i8lvvxAt0hc8w/bbgu3uPNObXNNKcMfwOeg60wh+njsh7K1aOaWcyUeH3wdsXnavGf9l9H8TyvgVFM/DpVx1f7NSZH1WEejHqGNaHQ8X8UQXaknHzaCy9Zc5+yEPA2THxUwc0vauezEU3U8coA9PvjLlU8A8KHko52ZWF/2oP/MzSl2qUK3D+HZbFOS94WpnMceApAmNX2TDvHAl+tHSbrz9WKkrQQ+gHB/xCTW1Sz5m5g3UCL1/ry7V05Rumn9dfnz7aMXi3116lfY6Yqf3ocYTHeusSHuAYfMQznzBnYVeQHg1Cf9pHi1xTmxjNPXMb/BHMM+DgsA0GiwYcdL18lpZnq8n0f5JfjbVPTxt/49vrnu/tetwOG2hbSwV8g985UWFzBViSMRRkg33JOS5keHFE5H0frSXKB5MnJoeTe/mtYWLvf1bTJ9qc+7do/s1okq4OiasepWOymZPXPpstwFWBDie5i4/EJrvMsnMO3NfG/Bvm1WxuAjahPDYBsgRwAoe3r2yypRYfaqd5VG7nNsMDPKRKG1Z6gq3xmQGuwpwkPbPzAL1q9UvC1YLD2W9iZfagZtD1GE/8WMX8UjuhAy74Dvorygv8bGmXkwh9tajjpS3XcpL891yRdagauvg3P3DYv1Ub2VrgspJ3XsvJKxdrhrUigQsp+J7p/7N+TVfReSUieQd9ea5N6KDpwRAn4EnIsRL4B3SNjXXSgW//llzFmZXYEt4jtYcVuLSvRbOx/uCpcO3SCb9qlsyZTEpDe0fH9F5SwBVbHuQEeB7iCxNJLnpcYEebM6YJF4N9DsgAPqsDv8bU1k15L7c2VnZmzT48K2uR6eM+29jhWUnhQf/ts912rUBGk2e1C1i3ybhmM4f3ZEkk38jWuGooH6U7ZzIAzWyZjGTtKtBOLPZBee2txiYSfOyU8vRaMfSdRvi9jsH6RY8703wnC/+V077iSKN8IBEP+TenmjTWHDRiTnNrXTK7G2UM4y10xMLF3LEsQat5dJBRBfgt4k83Yw9bDjcH1rQ4R/uIuPDuRbmlBYyJjU2fi3+Zn3jrOjzsrjJGX2eq7GrydTkiWPMdvMBEVkx9N+DdFQI05V2UueZOOyrz0dMwR0gbkYQg6TZcfQFmz6Twl8ZaxnPQ2MBNHw3618uP1gxbokDxaUve8Ne+qJHfpdr/kCEGXPX+P+vAaHehp2w4rMzUGrMF9J/1ODnALG6yCsDv43M5k036NUI3YI6Ng49oGWizInndAQdexI9zaHmK/XEB708N50UVehcM2uMEvCVdbu4hIVhbiEadBl6s5AT+b0TXypqFDP7eVQRzykIHbDLyQo1LnT4zlzyloyM5olf9xtJSGBErs2Bcn0pIc15yFSZfJyB3c08y3VCffv15Hl3wFGy3U+NtR4oO80CmTbgf0+3znkeHZx6DzouQK7U6lYCAXMzgT9MrHfnr3Bw4QYpUJwhwL8OmVwSFzx0XOxs1+PbGkjb5roPmoSx+rK2EK5YcpYOcDLxrvqEDHUETsxV02+JjeC7O5LMG780mH1FQiWr8V5tqzjIGGSdOjWSkQJPl1ixp6FWESUsEOK2ob2Eb/4A+TrkF78VNtqYgYwlqg1lLzCj/rkJ+As865V+LxyZ2P9qNRaOlb+LB4o7618O6jbuY9n+f5q6YwV1eHKzaUXEd6HsVdT58M19ZpOcWEpgmCwavKnjjgrdLQJ/MTURGOXYL0EsCOHDDUTeI95tLnA6TAfVN+PmqFQGfpM+44KB9pE7dDNyohvFQO0XRmTroZHJl6knDt2T3zCYh0/LWvt925aAJA70hneWrcoAPGJ8Ak5JmQmE1Avbb2K0KOZu7ca9aEcBTDnpL0mg1vRqflPpB2gMOhsmNW7Opm08aW35jhFHNhzuzS+O9PYLwtdrkjwwARcx99d9eZzu7oZ3JlknbcB9zAXrL+Ye9KbHZil30hh3ANwR6WcyJjLuxLOapifkT8DXIzT1GEVqmtw0fPYrhK5m8W/BKT2zZFbU7c8f2XlndIRu6qJ3+PvNI3XKuPlr0b39elxv6LoW95nYS5MPhjoculIwcc2c/Vj3/wOxyzZEfK9cP8xi0GP3NDbk1zrrSoQP+BI3ihl7KwZe874PMUrHqu6fSvCfRTJiFXucpGsYmZ0Wya/rDXUxJjgPSg09+mv4wLfgq0/OQDJ3pwQD8ry/HTb8B8vMTOKmUqlyy9UKt1JMjPwrTS8nlh8ZJItbL//hPvnJgpKlrzmF1mDOXlOMNMMyqLH1PBc5IrAIZ+w78Pvv1vxHO8hD70ub4ZM2X2k3ubMJdxT4fgPMWs+Zrzm5PGQ6gO2SZc/gM+++LU2xz316aXuqhLvHG6RnxTPbJpYX5weM5AH3zyAa0yOEA/LL66TT/5BH/EuHc1zEgsoM/1Ps+49R/y+C7n1EHfp8ENPi06ddyqzdy/+cdxL6v9GwyS0VadDc12ACSvn20Oy1GzxWh5sBHH4wtX02Bq4rjR8WYDfo2OdqKmF60Fesu1RZeYf0sTdxNBjvzzX/jcfeduf/2o57AfTsxzAkPiSDmDnfUlZjinABWN71/pkWSAaJh0A9BJhqLIf9QgepU1jwC1gEuAdeDJwXNB940sWC97OTgbULzB9HKa0BHvzQbj7yxQZqA1tZViGf+vjc1QoGpO8LW45l+3WCO8O/awinlBHTAvFEXH9IIXfKAz9QhJ0bJuRzsXSm8oprkg8XgSyn+UgH+rVd4rS9p9uMmErXv+3dWmL4kMDdHxQn34zzUOh+WN9F/OqAcVq51WQd8OYd/7LSQPzC3Ye7xnUCmT5Vm4D1d6SSG3nP4e04bcJPJ/dI2C2gTGBcLxhM0A/MebeR9MGd9gFch+agy8LcJGbJH2ne7jPvdyQ6foMUYcHvBEN+VWlst4Cj9zZNSXxnMP1O3Ah7F3M2bOGj4lwZoWbNxlDnYJgybjIjgsGuEkuBNQGci2oibl+q5w1MC+n1/SafyCfrvBt7wDs9XmV5gLIbvHd2cNjI95/2lCle3DhKKqfzKxlev55vJusywPR8BJ+0WHZ5qwCGwTpIzJcH/WTJKV8DKSRWJrSJvrdjlWRbkDhz9fg5t1MJnt5qjWsiruRsAGvqUgdwlYWpzwTw67l91ROBRAcsCdZFTN6hxBe+LH00hAwnrohX6pEIdwDv5UNF+TvnwrJ3kLF14HuaFzP1rleb+GHgnwNicT7xiPZ5A/3hpIImi5JuG5IVR8CzhMzdZhyEPc8Zg/qOpHMDTMdLljk1Ao+5Ao+0aN3y0hkvdcDVZfucgfZq7xcTcmSn8eznsntgBHWbONhia61AiVcwytZP4dXaDbfAplMB3nuccgXpHmUcBK2S421VojhvAMNCEwIiAA9F6BRxIQC/G2dd+qsBjiAgjk59YTd2O53tMNvWlxuU7E3hMmXXF1r9sli9qI5RrbitnNT7mIGhC8wgL8NgltyTjYtmyX52OaQ1zhQsclQ45k7hx8hG/0ZGsjMvhty9aGLqqyDYVkZxa3kNFK3jn/avnXVS7es0mlKeo644gAZTz6TWhnQOfk0yjlEfg0WmnTb4dcC7MRe8iQ/tMTB8i6pdcyPLkyC3THWOByb71fODbJOcdAReStjB+L73BXX+uIxTCk92zHh1zVx1hrKWI+IcavOzMcXB0093puX9reSdatjN52eCvlN/wxmp4ea0L7aivfQL+5coGPlc2+pZfNw+bzITt899eJQm6D1gLwEGJI8Hrt1G6yzQXNMYV0dn/7wtG5j6h9ERMOs67XoYdkmEDWhEhMaSmv8RW9wnojBUr8Kjgx0XmrNd84ks6DK/zFNqyzoGfG1JncKlrMhgIaOZPL33uPZPfpRCsU7YC68ymB8c7Feu1cjwC617DWqA89D6UQyIxzV61HXYVVaZe9gTeICbjGhGYDy9OgXViaptPzNJeFaFDMybfgHEeHw5PEa7iZMNwxWgHc/ijtPYxNT0tCvDjIQZnAtwZ2VS6l6cM0LF0PMlj6VXgb2lPkIj0Vx7t/1dzy/ZpM9xMb7oBMDSXQr6LfMlBi4Kfn3f1YF0J0l9KPDzp+pWKkKx7tssDcs6cjpw5KVP6uctjNR4t0EixyefwfcH1rhrUO9byNec9Ee1szOcRdGZ/zhfQHaF7NpkcY3mvN5Ri97LL3MNDIU6F7miKkpA5qQPfsae2PKUis/D7vpSmL6Io70KTb2bq9q2uV4F+5PBOX2c32EIDeKhTOu7B7yCSb4fnOQbNyTgGrf52ZrgvR901IegJ58+1oWpjovuu7fnRhupLTHiU2t/SyLaY+/u/n6aaQNqgj/P9TQzr64yjBBen63gus2lGzeSfWrPXMhrdNgvK+Vem56GNES6p6enGy7ov14ripIpNPS9GlemRQJF3FvzCnTXKHZLVX6a/D6zn3v9Rxb9zvaHZ0JLTxG5H7wk+ywFsNj21Z8n0TQb+SehkYhF3ypE/GiofgApdy+e4HX5zRL8p7wosFHALW2n/eTU5WI2pvdxAPyDsNqAhX7U9GOYveK2uGjpeF5xVo71h2q2gb0CfL+//fw7TucB9Byb+PCtKKjLyQy4Wykyv5HBv9CBqw/WnjZOZ2yn4qDmCOZRVFgYPq19ZHz3Ll7eT0wWmR50Q6NZSPsBc6kCN7dSW7UjA7ufYH8HLsUrYHaGfJuOxOvP5jdj+gmOcm6x2mPNnqTvcjn+ctsDf5v55anJXWfKqn4+yDfhrAGyhHQINlYDWISn1h9/v7yan1lTrUdAag/bksAd9pN8arh08KUlc7WOHlJzit0abPlGDBz/7VQFWsODzStinm1rdK1fkxjdykjE5i/d9Tp4LBt8e1G645WK9sI3zhneg9uaQMP2gAbhMsYLeBiwxe5aTOpGBgD+WaQ4enG6+TUXSpaN+GE0Dvsoy5z//fdabyUMAnhaZrUGjJ6BxQbeZvCuBZhH91pYh6v591kWy4omt4LEedDB9V/QiN39WvHs0w76vQ5NFkDwqThJ4fvCBh2dmd0e+/evvcK+RjphYHjCf8hw0mxDJwgf1EO+LezT3eUbc8/fFbygZpE5EHWJP2R2C8Qo4eJY2QkFuai0G01s33FGbT5mpoP/6s2HQ3+CMX2ej95TpO2hJcMurm2vf5+5f+Bn7jei5z0wODbs9TpZawEWEsFY6OuhMhd3N5Ek11m1tQ0/SmEx0SxI8XGw27u80Vl84Hq61jVnW+y+MQuDbDwrwDzwdFxNgEe8s2qegd3iv3pe5dEDnc1lKwa7nQP/us5Vcgf7wT3ji32oCvSG6e8nUClrsiUd2VdNfmDv8pzb6NfZfet7COrRTyozmC0p+eYJXjTiabTp6iDqWBf76ftxMvy71dbK8LhMd+HH9XpreCkH3zCb9jaP5KDeFq+cCw5hYbMSLycrPbTRWweue1HJMLfhvAi8wsyvg2g8+kV3JOknYDK58+QKvJmEt7FhMKIk/HxlFUcP4lQFWZZt/yTRoPGs5VQHZQCuX+USC2uZ+LW5OzUsnd7zXvTZORhzB7wvAe5ebHqtB8k4BD9oc/OjX/liyRORo/s0LUHbzbJGP0ynbMRfl4O2qfJgRzPdrNeikCpsHs7yLCNkGM+CCh/0jtdBLzx8ZaJs0/+M0wnqAD75XU3LPAd/OoeKVRgdRMLvh/Oe/8fJzmI+wjr5Er3A2kKSx1Qf4lnuKSMc29JY9/1wxOlyFsI/VaO7fvrL7bneGmjtglA0a+q3k5Bt4EDwIv7Bwf23YwZYT2mU2cKP2PzhttpwlKA18Cl4ykhGh1bCCx+C3nO0f0kUX8OiYM/vRuLhq9QzYQl6a7YqD5EwQkengWRXgGNm0XU5+mus5Kzlf8bh7Vr181kia/hKeuW9cU/8KPA+eSOYn+3M9C8R4hDSNuw9SoE5F4Ce06S2ET2fQQC//JUa1Zg6hzE4ixZMlB74Az+UCBv20PPmhGzqVAx+riB+wsB1lLT0V9pxqNFU9Mj2C5qObfGe9HIRI7+2kPFYkt3LjD6671PRpfX0vwk0PLFBavS4z9rlWwLltbO5kJrvKMpnGnOauX9ZbY2ruAKPIOY2TldidC2vHa5mcmcufmeXZtMd5Ha0aNE0nEfiGQmHCDi9fOZyAa1XU7DLg+6OV+NRCO9b7Dyz2XxS0xpktI+jQRY6fd+wy92R6LFI8gqeEd11uihFOabkDT0hzGOpU6B6P9rMOpMkwqUioX3h4rBxssmZXYXoOTsyiG3tgF8Wpm9p1MQOezbJly7Xt2QZe2JEjl785qwEu5Sjvx+d+St0uYKF02gn08W9fLhQQoQYeDSsV7DXntRy6ikV7dg7NngLH8PNuWwzecQM9xjST3CeV3eGc62tbyDFHvGC0dGvd3AFbZrWpJ3fwDxf2VWhfAj5aLCotMh1ck+3CC/XCDYKdtccxc6nGXubKa0m5IwoUnFnj5RF/g/+/a6kPHnC+nQutJcqs6usPcKvv0+f+mE2/98J8FV6AdyQ7s/WrZvsKxvrKB0KU7T9f+4dHl/OWJvCP2afAthx0UU/kHbShzp3UlfC5JUOOGs2ZS/rEg8mFUdOZ62fqJlPOTP2Wdc1NjZ7TUfA3cw5rE3D1pqIkPqN/d2FcHOsstZZMRdwHP7Nye9iBFv1I3dLCEZrqUR7yYbc7OSSpuLpVptdNIE1edl6P9iUV6EMynFOKqqZXHMAXZSPJQD+Bj/ej2lQb/P9nZaWLvsq+cfMefLCt3/DXYvJCJEcySNnimz5L9dj5HLQ4eP//+hXhczveHIW658laO/NOy+fyI23/CL4dp0OSCzEv+YRMmvZ/n3XbgL9CBusgdRKrjVQFax017nCve1nAfHwAp9iEEy6B00A/mNwV0FEqzYNudxZ6x5nuzhwtVM+RtA8rd/UVcOUM37ukaGaZ/fk6/0rTmOwA10d45qMY5kca6V1jkb6a8LEZkjDlPAWuikxPTBZ6UT0OW6tVnhYybkIJa4xHOUWHVoDWmDpROvY50wPMUXWHfzf+77UPUGQClBBVF+bsQUMrC7zll2DlvaWA30gfmoCk5+LgSmeZxRA+2kBZ3EL8/8/K+EiD5A4+9BvHKKmixk3D/YhH0OxbsgPsMDmfr1yRtbLkpQ4P92YLHVbIVI5JibcQNIOfZI72UwcX2ZD0pt95DvhV9oMDuLDA3KXtbx9ebzP3k35zdiZ0a9xZMGbdweNH0jVdS//dAX80/OI0GryUbTaZTF+m/Xcb8oT1cgO9ljQmBw2pmQoegC8xd7xCYklQweAObJnAWvzgBvudhaa9/K3FEiMo1AD0PufgZV53HpekGfez6QXPkB+VItzIhiYc+Ppo+/0ZdbSOhqec1Fvp6h+YN37ldiFoDlOfAB5W3UWhJ9DEHZnkKd8yJy9w1KCZpHE3czp4onjlOSxpZTMH5kzMR/KW625oJ7yycPmW8eHaMtA9zs0ynptGng0e9NqE8BVFNxEH9Ou4Z21kT5zhmTBFmqi7mHMdSgkRA7kQtr/I/2k20wuAZsNyYIaTGaYkAuyzknsVyqSO1CWz/XsT7W81Uz54WC5HdcusOQceOYq4fAgqfWX/vQJHZOYuWy7wrYnUUotPC/CuV+PyqsUCb4CfSvtvbaHf2n7wqPZ77sA7Kgjwnfo+2jKtQMPjKV1B7+jG3OFAEoEe3DUbH46m1h4dHnmo0qPdPdrh88pNv3a3c1mUCKbRi79OdPp7ldYO9C/o9oA8OP37AE1rcrrK2gEpTctHvnWniuMUT816cuxrZfsD0aQH9/RTF9qcV51woQ7c8SiNLNOvNM9dUpw54Lj+d7fid88Hx/KAYTyUydV/vz1gPlWnzWQp4qhiNq/4fEqLxmqLzJFx15/jbBPM+6jZujO1C6pn92pEUxORiaHDE/DLy62FN78ZyeTliRgW3swDvSmttsoN72pqzN2SJ9YH2/RnrUW3lgU/8fGxHp2lKN05EBN/q5DcMRv0i2X6uGstQpWfI/nAm8kI51+p7sx5zI2wtXppNhXerpnJQAs4Ad9UZePS56HpxZN8HW3O0ggfJOpA0396zfvyTuKL2f88ZUW3a2Fdgu6q6pgXZ6qtJk4YoTo7v+8/zDl6+/7n2gjyX+3B7QHc1rXj/kdS5krX9CLwTc3VWxOoD2FygYc1VFuX1aARQWz95Bv5STeTlUSK2vSrQdokmsfKWlmthwcVK+PxBWZM6YA+eDO1yP+9w7O5F4W3BPjYdxnixzb4+2hH/nF0FTnCGse2qQ2SZTnJrAlxht3DldPUPdNyPRcX0Ap8kJNcWFxeM+2X+Yi/m4DZJORxOaFT+u9O1rLmluZksB9Hh0uTq0wLTkicRIzddqmbmd6go4zx0sBvmx5L4Pk9HJmaJfkuxjVKx25LXZSklrIlyFGT1UOAC6vNL8Tkeyc3wa/vdXTDZ2NyBQr+wcP1yJ2kzAaJWo1vqYvBfaADHeY7+HldgkYHjtN5jCrA2hM800c9NB4bypWYrAnqH5WzHmCuTFVheibPM2ixV5+RO0fcygP9kw772dz3pVaSU04EAxMGnJqcttQ72Ry8qemx0WXw33LwWZoxkgMH/DTDcq/6FHBj9kp452TMHpwtiNjkoTZwVHHywvm4Gn5rF0wupUM3nbSitNNfjFXG431VYplycLjAqaHU5N6872/nmJc0nnE72JgEGWD5GnNL/rBijqpJXzMbwZpVM/i8qdb+az/qrRoY+Hqb5OHn1g4hcLLGLJ6fYpqHc77cqdM9CXhV5kiX5ctWFwlJBQGG1Q8ymr6THKSjnCvQxNz+9M4R5spwOPjCVIRP8Pnb66ytRbjI8+UCOiKsR55wZ02V0HOtSUo03zVjcoJnlmLqPMxJSXPT95rAGmdPJTIXMO1eFZdrOc0VRX/tdJJFHc5VHWrJQ4Qz0DL/NJuTgnbGYzX99nXnjVg5RZ19svYPDJ4KPHsEOgz0IBagrb8yzSO+YZjjc0fDzqG2vJQaz6Uty7OQBCM9CeGtOFr7bGi2jOPX3CA1+PCaZRuLLxa2mYsn+ZQCfITd/Vd/w99FrD3QhrbppX0OSFjH5K1BCLgbZdjR8Dn+XPeEsKF7O23kQfrQzSf8THskSjf7t28DPsqTFD3TfHnU+q99Fl6Xmh6BkTw0gl/SgUuF0Hs6zO/gjc7S5Gnb3ORSU8YVa0Oc5pO6AX54zIK5Ei7mzkMPmH5Obd2r7e/LO4SC7S3Q47ni+C3bPmHF3rxS6BjG/pJqCX53CRr7Lzzn54MF+JoWeJQMeQ3XUxN6hHLkw0vHoEND8O2gc1CEp3nJ+gy4h3vSWV/8dYY1kDRh8l5b/NqGBIH3PtUu6oCjaBvqHDRPzgp9kCHa8iKz6uhmN4M8HR2yHt3OTuOZAKdFfJijDLQGeL1RBKZGBzhDrO/tNL9qv8H3WI/Txi+cg7dh3JVUPcDRzGfEPbopVANH8mGpSEBY5pj+ceuDu8hkVEk8Wlfw1AkF3Mjjg8nkhvenTB0SBdR4giM8A4e88gHeYVZcz7HRfnufBXKXW94Dh/uq7XHaBsl3aXXvoOXuJhuzNrnMk6oanTjluLhV0d3TQHW5xe/c9V0ZMOcc/N1arroWsLqdtIfd+aU3vKow/nMuypEEHDRu1funOg5XUcxesx12tfv3AZpRY448Yu0t5SxXOqECfPsA/L+Vzr6oI2uttCoxmvG5wDZ+X0Tuzud2mK/lNvzLxcrjThOdrlw3bj0B3r7vixzwjgbyWVPm1PCKSndwRc+LBqUuc/CtcvT1HK6yFCu4erQZrV+6zbPUSVX2CXixPZhotIoB33OhX/fNQe+hR2MdHizSNOfw9+P50ITNnffNvQ7/3IXJah6QkwuZ5wgnOfDCEea2/Nrfsyl7tnHjyFDP1Wj6pw8b6CPQcqaWIOGgnT9YyF73bhw8LOAZSExNH4oY9yxodpLzE8znb8FWB3hhbWmXcjbLNJw9GR0cIjrM4W8w8HWMkpGZemlLZrX1uab2550G4V0Kb2L005X2P409ZQ7226/92dxDynnSy2G9tnxGDP29txx4VXD7HHpHGj6MF38AbrzVnIRi0lFt2WkVc3g+HFBhnmVnKz4vnPPw5IC3LgCjBvSqxYqPtjqk4P0zpwMNCWvNKjd4P0E9JaejW+5OW+Pip7mDaT1PdvoEB3Wg5pzPTj7oRJKs1wTmk9GSqBRoB+NXpFtqsvU+yGTqBfnrTMo5bdgqe5N79Qmeizmg1y4KdAT4hC2H9wRY9QM8/U6GhVZjcqg5/yodXWY6sbC4PBvQvCk7bHW+pJSRLBu5x+3LQ/bMawDEsXt5ZQRdVWFqdPybqQVphvJaCq4xsGo9gIYfZpf2uAINZ5c9WmTBU8n+WFXhe6DdjxK0P/hrKWI5gDdDLPDPea+mVMOYT/4beOCt1M0/7KVImr6OF/DcNN94mYOfBN3qUvvvPTU5RQ7MBdvPwGE7oD5+Mms/qsCfwYN1tfjzzG3whK6afrOgzR4AW4vGbVzA4bcq/rSknfwvfwP5hss95eLvbCgd4J3vfFAY96AJTX40lyHMja2KdaEK06vgsDtZ5E3EyS11Lit+/nFYD97VWUDjgO4VEoleX2q2zLWt4TfW157eqiJrw3ZyN/lssH4evIB5jzpQJQkFH4RONq6AW0+SLYDjXS+n+dHE848C/Sjp56609VdqPdZ2tBxYx36KkqDUOqAhT7GdgVZ95R/erDPCR9DFpm9BpagCjwMY9r6A356/2zEh9QSYzWfawhyrnMOm7GTLemU42VKhzE0uGs33pu8e8DH5ZrZ28qi5s3H9yQTo7FG+cMP0Mp3Bd1jgw+Gtz789bZpNUfCgHzTSSe3ytMqXvC24qG3QVk5mmx5TVeDbMKdSZnKsTb9c6g9qTGhqeaDLBtMz5uu///bK39hIoTzQee+Aq3078BkQh6oYD+buIfibnRoSD/S96e0ZKPCqubPk2eZvJruusZGvIvmG7dk9c+JlYhWUJjvQNSfTrbvc/jpVjMSrfgMwaKyHh5fp37tNpmfhN/i6rgmQroMkY2M3mvoiCfhMXHWtxCwqRI6ZQC5gOZNhcgM1lcDfBByYP1Ron3i+CMHNPrD3xbdXrr65dyNFWpBRIGV6KVfmHVTb50YB/ctxZ/TH/2rvTV6L0XJuuHFHMjF41xShmXO8NYjH6WDq4xPBhcJ08j/UFDo8379ye3pYb9+mR3rleFta6JmF6kYL7JQDsRt7vuD+sOMR/mkFjpTtAx9r8KLE3DFEwPnvmdV4eNyHytZxM+CAiZubgvOXI3qehVrBP7zOEK2Gfbowh2450EQJz9Hy7ktQteUiSRvAI+aAxnTAjwImEbZwbOmutKR72soVm71+JE2GBeB9Y8M47sAHnEub31qNrFybzM75dRcmasZ1w8UBsHdwGgZjEGHTN+ZA9byoHp/PYt1UpKvKlrgJMM4dpTHoO2ZqKoS+Aq8c2WAngE8fafiwKO++z4BFMlCl3DoGOuG1f3goHXRskcoI1z/AzzuYC0v+mxc4+9hRJwr6lIZ4Jlru6kLafPA4rFWvduZJhegdrPspj1RPmIpKfrkKse5o9LjiqctK48Mi/K8fvemPdbSSRbH1qsLlVkep2wTdTrElgjX9oxixyy/w1Rv+UVNplePeJtNglxs5K+uxAQZQ0PJD/Vze2XBZq60L6nF/aoukr7iMyv/tpZiMhaih2M3DcqV2B554T9sY5ZlOHRYeHM7sWGr2kI5n+sy5BHxejdIH6GcnLea+1HJLR2YBvz6USJajTd4kV2/lBFrf+DWqX9h7ElxeiIWpScz87Xu2+cDN+zBjKAf+iytz4jvxZ8OWVDrdrRpMLv++aAv5kU76R40cJLqOQRvmGZ+nErAqs0A/0a4C79hV4/6FUXYdg44G/wbv0Df7UIzZiQj34mQnV7KFG/jnUgbSBf3Vc+4zGHcp0MGFNVJKc2eHk2O1cRePRObO/gMHXPJ4fjtHes7Z3oa1879M+ELFoPU/Ko0D+J1RMX3FSBFYKzvAn696tNPGwjeYC+dmxE7V4/AcS/CfnXuOShvm6E4UmjBHd6kA3RInbhMx2/xdCtIwY4dXTbsvHX0A54cz/nuf6Ana0Dm/38C/4q+TMw/ATy6N0C2N7IvMb9c2KnfnGLTguBbp0C2pZXes/907Ai9KdpU9H0rW2IqC94xmv3T/1em5Ij48K3dYGe8QaO0NNNLbyVqidJwvoEtBg/4F7fwfb/cafIHfY5uYfb1jPpCAatDUInGlRlcWo45b81xtyUAtzyVf++8qfPUcvz0kcNDJ5Yd6LK2TqzPTT1PqgwVYcFcuiZperWpDT4LYhpmHwZeDurBvJPBd8HpYUMwEQudzDFrBSq6tIFkFbrWOdQz+xgHefeVVuphJCt5iSUHf5REH7mJmTy5WVlKxcK3KMXkz/SLwdFjLYRmUrVyBeAk8D0gFSOyAdxgwhnW8NVTaeYgu7YTDzGjL8I+jhvW1z3bItP+dF/MsKY9Yr85480Op1dyGcsbc/2hcvQEfLWSSGPC0r7QGHbMPm1FRYXKi4wRxF/xRxO4CMPvkeOeyV5eUyp0Yybuy51cdLIX37CqBHqB5v3G+j3CYrs1gasG7ggV/PdNDW9molyPOWGQz0ZfeOURnPNqTRLpsts/7OZq7OlIZ37qpjdZjaf1xS2svhFaiiv7V9sTcAgcv9p0S3SI40gr4Mtc4lCafW6yoikEJWzoAfX7Bg7rU9mB6gBLOZ9fUvtb6cK0oygnTUTZwF+bJgcT+W110ST0mJWj7V+3BjU3pVo5eWLsa1eH+px2943HzcdprAdrsPQWvkcF4tmLnwXtcgH9NXrvNEV9Lt3vWTvfMRvJWsflRF2Qov/YFvPs7nsIrdQ53Fl5efhnwK3lLvxbSsGzH2Hph7AZrB52bUN3FCHxI5QFwMq0s8Dk9cfIRfGCABoGSt9yej6SXj0ZLG9axNGcICrg0tzosxtsDtBLOo+R1HxZ8t58wjdc6TI65LS9nMbjnED6PyaoUF68GLC1NbRrgOszvJLOQmRt+Oaq57HWVhskps0muAvbIhX3Jv5ZjLZKhirELqGy3CL3qbeiZJUX9vlQYJS6LSH5y/sD44WfmYglzPzXvgD8XX4SAwO5gcjYtDlK6pKDH+WxjttxMv3rsDlceLUfQ6N+1NbPM8nA6omsakpfeQCro4HuhmYx/LB7COmHLjlqXDb7rXAsO2K9oGzIL+Nf0XZip7R8BM2Rb6IoLwCnHPvDQQzX63ETh33iPT+Y8K833NLP1LRvCV017Qlx0Om68o+DHmQ6fOe8AjJZ7E5MO1L3pwXrglOPKGrZc//VMn/aThXEzzDlwriS2Ztnkw4hx4GV9qZy1lJp8mFqBFNZMK9SrVmTHJ+BRwOdKN8bLH7HDV7n5QYX4GXTgpWGhU45kS6fEVqP+yGgJcyf5aAu8mbpAaS0aU81NdmZuDc+qT7jpd5MWyfkc6Dfp6tc73KSNL9yZr5lb3tsQ5piWU2OybkXH6ddiCzafwMsm5g6mYPoC2hgT+vlIQ35smLpm416riXxnbiJr+KzMMXncsiQsESYHD3Dz9k8DsNs1h/Vb2SRJN3Thdqcl/7umbJ6FsBwKbgEXqBCos0vumw6xHDwI+LTuvXSzZ+36ZTV2l8rtfk7gV5iLYdogj0S7u8mSbePmhVFjE1/uKdUbpj5oPR88oxzpsO5yF6cqAjVTAHMWMm/g3ciQXCs7QfkE8wBhVDorL23/nTMs1GZ6aKyOGtUPYNUPLy7PVHge2/TLV8bw8zfF5U/OdVVa6y0vUMQibu7wPGtmo9xaChWF5s7fnMYkBf5/gnc9UbNPZAGfDetRDNazzP+A896n3NZ3mJeyZUqAzinz/t99ItNvumTWfmEDQZR+Gp7ARKxxLj49Dmo8ZasonbmjW3nNY35KOf/GG3JqykGjekeTq9KAuy2HnYOnGfwePr/yH9SEjsRaX/UAp2pUWS3KhxrkiQNHZ5SY3jklaGnQiyvFdmr6IWeMJlfQwrsa/FQV4CwDzoU5w6uQ5ALpezmlXku1biOZnd+X76Yvn3RUMmeJfHGlqUk6o/AOuPF7vzUHzQWYbmGXlyTq/Dq/eWeeSB7ynakLPtnzVz2Ynn3AWdQ8//xsYvzGXALPptmZHUwP828xJsdymGf4vdf6isGb/sDY2xj5H1gnp3RLPPAiD+CrRx1xge3Dmr8vX5WrKxZ87kAj3UELrKkIbbWRsbZxScT+VD/3U7WBcmNzWDKTg8+8ZutG3JMXfz1EAJo9SO+Yp1dYx04JWkECC7JIfdAge7KRE/BIP7mQGZ6SrOEHl7O9Syg5yph8gydNKxf8fzjs0tB7Y9NsdnougPEhaBfg9eR/fVQj9GwpMXdCHzXiugmlZKbef/RIyjVunJ2pLxorsTqpnkvGFAffZfqXJsRObTl8PhnSQ2V5SAwPpxqSodHzCcdzmP1+1uG1z+YRlBR0XKwqCq16kCsP1x1m5C1H+gZz6acU3XfD52/5XKYW/Fiem725WYO+8hvg6zzqvMpCJ27ZO3AkPGf6G/SirZ7LmI/rsfpfzlKcfZk7Kqb/7J8rsZEnhbQyASQ/eAEXyy0ds5VEnw8Yy4PJ1zB3Wn9zyBzgAtDeRHh2O/Gpsv8+KOsseEcrt9KroNrHYwr64X89uejIbQFajZt+7Zt/ODpzxEOiq6l7l6O6tEgTwv0A/DlgHAdPdfDqIQMfbT8IYAgDT5h/7X+yKbWasdzgtfd4kkcVoSIFTMuj9MUprA70mAfgPzaT3ct/cMGvoNs88DVRNZARTxeH6E+LWKUnpnk2WQewzl027M9tgeDvzuecHp7cZChNOuKF7GG8y9T0w0LZE4OWft1BKIeb3TipCzgwARcw0BBLHaCtyRcNuLY21ue1NbX0Fr/XA/+pYf1IbfYTkrxCf9eadWk2JGbffseZdzlH9qae+67h6bMeEtIK+7U/nxPRTXj8dNIpfMLvXuWE1yZC93O+98/gh5TJKTaZu1b3Ixl7Zj2sjNHbiNPdmWNfAD9wGoM1D/SpGT693EWzGLjJxboANJh7Ia892JD0PqWjLttIBxzNppcc5WP3xkTit0gSGv2xWYgtivwn4OJ7AzqycdbR3KfDgb7VXOXt1/L/NThF+pRsLjOqP0xeEBl2Dzz948r493cte6gE7ihK4hzQtwo1vB8em34GLATKNbVkdLA4cOVvRvKUHMGjv1cR21VRp4ErfsDdBvC5gOMLiLPkyocZUwtrMv677yDBe6/1Brrr6+aaDKxsg0FjcgZMh3Uu48bpdgIpmVqJr8Thrgpy45s81/ZhI+DDSXGw6fib8fUF/jNsYk7BbRLmHuzSWVzw3q/PumbWslGHz42YgzxcOtCbx4aqHY+Z25hOIe+w/jYF31MJMXgnYpEvOiWVQtxTduNhfrAz5pneOjy1SafGZJLjsmSjV9bmrhb7d+cxzvouB81AqgG4HZVWSruHoIkvWPJTO2tBzV3uiIiWmVoy6wFea4C1vypd7hr7cqUwkCUjD7aFduaEdj1JDk/5BP7268nsI8pXncOqQOfA3zzm7rwDFwFzrjvhPn2UFvpmI/DniFFacIn74YmdzKbWGlWUz3Whx3q62C3wpQxQALhL2sFb2wCnoBV2hJucO9Pv+vJay+8Ns79Bq9J0MlrdG4Gffkrwjaa3KzX7vhuJueAhC1XHHVVlbvrMNgI86GEaJO/mXN94Uu54FRXk2oDWBewcSvA4gOMe8NyrBmbEAXkeXV2Cf89gji3wrmfANA7cWrZsXxI0pybzvwFOB+z1jjbz2jFJzwFJc8fuSt2NfNytZ+53RCOTX3FNt+HZiORyshOdFeh1DvsOHj8BrSxZ35n+b4MK5Tdo25xN+tBwfj4X3YmYfbTBppnp7dV3PWioS8lNtojMeeGvLO4utO+S1E0S4AxYj+SD8Tk2Wfwq4i//Vf5XP21VOnEFzcxdMJMhabIePfAakpkzXVturXnXVmqnztKDR0oIDR9VMd9Un9Dm+WdHNeZqRPJkrTCmy0c1/nHAE5g7iq88vQ+TVcCL7gPWCjX11DB3fVZ0fs7QEYOWhzF4wPO4incOYIHJzk9PrjyfnvvtHJraVeVhl9injYF27JxqQ2Hj7A/g9TFw9qMCzf6ah8DHpYj+bK24uCdYTeC1nsBRHo1I1U7+l2TkBLgTs+d+BG45wNMHreC8YutObRI0qxyPjsl9Tm7t+Omq4OCe7L8Wiw4bi4ZrDhrsVZtKw8WvrA6drPCeD4YvPFhoMq/6w9ZOpi6EYAyaJht5lm7hmlq8z8BvwNxx0kgmKUO47VPvLDw/6w9WK7ykji/P3Fk38GyPiqFX1uK11uHjzLqsLvyOOgtJtVzyEbyHIB+Vjb/wlq5kAi0sDDZ236DXntgiN8n9oYF1VG98J3r5Bevm1Izr+8li9xx8SznaPzRUkgf/ciqw6Tdj8mCJgwrgzRk81aEeYaAnfJFO4jSuFA1FpmZzpwaCs+Ji6mg2eBZt6pTPAUrlSKZf7zfMyxFUFnjHtyZaZGuySdHh5R1+z/urqblizcNK8GOuAYutx/Xk7LzT889djfI3JyePyjt4lHc5zHYdztdUfG4w13Ztj3cm746Hy64c5UdqqQD/ZmHMt9M2mCya1zx0ao3zkn0+WJx0MI9OfNwXlc2HFKGKMPwEDVpItj5ND4b09x1m3tHx+PG5fGSMhGo8rGlk9lfUlob6HXDANzmqzOQzU/ldBerVm+Bq+hbgfPmio/VoQ4+lrJMiXILU2pM0gN/TgA+AKc2wznI8PCt4N8RS7zjix2r6C+p11bmDd+24X6mT6JPljfXYffPgE/z9fM/D8F/uN3PRSmh2r11Ah3Hv5GHC602Z7JAP5Whz7yalobXR0fS55Zdm9Cpuq6rWF7sWyZIOO1vy+dZY3l3FoGVg3dfRShqeCFPfewSn9PIO4KceMtzvmnim4K+qfAJPEGs7N73OnMScn4eprb08BsftdIyz8AG+8pKb6swQVxw8STugszQZ0MKeQH/sGsswghrT6OBVw787CP/tjYDDdQZHjPYtzZdKxsbPhU8xpE8Ym2dmkR3M+StF84Pr9MlteF6XlNzpvsD/Wk2kb4Jj2lJs/FKRDWtc28maD4dHPiX/Mp1Azz3zsNlEjHzTa5dOsxTsc5NRdj+6vgV60KJR0gHnWNWYbnRSb4C9ExfwjDE6wZw8mbuIja1MXq3p7/Tgw3JPdZdztjxU+I+/foiLNhx0BTF9tyOY270i3MFbE6Cf3LrZfEsyhfQbhXcmRFecLPCoNnqW2tzR4peUmTyucAPtd6jEwyOMoBr0QNmDwXLmUVrza3/+LWXWWgskmVBrNfnv2Dp4wEtZ5nYlp5/mvuQV/nln4BikKz9EgeYGgZcbjFZad6k1z4odnNrRE3/un9JZsUBJ8JsLybqzmPzXvui1mULLZFFR6j/Aknak4O+5yaLi6N72yhJxcxVBYhsezFHjVZv+qqN92fT4+4yQ6al6rO2ZNoYDnX0F68lpQXOqYp4Uk6SeXjm3i50WxBKRtYlRfyuWdGwADQI6hosuP3PZC8YJ+JYotfG3QrBGC57UWt2J1pY0+6abBr0K+Pa+D2UvPeCLey1wIIvLWvV6Trl6eb1r6ahdw/+anKShAUxVMfPg3x48IA5mD/D6uGJc0nbCP1KAztHJLTM5gLRZRbSeJZNfMJZ+NiGeUZ7WY6JJgN7Amx5qTs5nOvzTh9ixbOocXLxhfXK1W4OHPcN7yAecYMdDpfizq8XjDusOeNL0K9fwervwnC8/Ih6uPO4yFknO2cMFvTfJr/2TBfyrdhMHfFMm7cNrfWWcg6IMPXi3C3jitTc94YVYxmZDR1AZDgdElwJF1Nl7abTSnGvAg5VXjuVVzrJhuzviYe/ivrw2mwLtvV8xVQw0S1By4pbD8qpne9ajbU5ekmpQsCYw/Ix0StpZclgBh9IHHUBbFwcnG+cScO8Oz3aoEHvmMenaoTPZajfwRWUb2iusYVI62meD/IZZC1zaAYc/Xv7rnRjdB+MP9JaUX/uU/XomHqZuN8B3xFIsX5UG5fDcB6YnIvii+2nrhmzszJ3PDxGkDh1QzwINmgzGyOpmtennybq5bUB+copeObeTCrsnod0bdWfwPcOTCp0Tmgwtmo/5mO5KF4uM8ZxyJErrtlW/dxCSqIqUBm89wt+7tGHq0f7vHTDKpdwXOGqsXHAkLeyDfn5l6eSZq4p0mt9B17mN3aW/XjiyBXwHraJyh609aGH9VlMEenj/wwLfBvb8rjRPc9qBp5jBTxzWBnU/gMbVbw22wIkcpSO1P1KXvbz58/+YOrftRnWmXd8SG5PRPowNAmMjgtAGdAaIEQICE5t4w9WvUubn/OtgjtE9uzvGQqp6XqlUL+RRr/EzuxmYxUd0PlpynwyDDXrsksAckoiEDS0vwMZ3493eON6gIMaKoYMc5vWgyb4hB/SQ+3t4zxfQoBazea78zxuz5oiw+2vO70tY2xVTDjCXQ9z557Qmt9+erPYuU5MeMAPt43CIzqbmcpYkJJqN6FGa3h/j1a5dCPA+L5swDjJgWdBqSPb6wDTvVCGtZnz1TFs8AppBab5g3p3KgjxFj75bP/PavluVFaeVs12aVVo1sDfM3ytdcZaPqgI9WDQueyTsgRstHSogV4VbBP8xCisAeMPJkfFrlK9z2AXiuAdz/Y1Gw8bcuzH9xGCtA+9Zd+kstB5JRvf/bnW+DYmlrXoobdD2AvjqkunB1PpKsd9yNpBJWlpn0wxzej7LKHsQd7cnjnyx6A8wkrnTa7zEkXJVljh2CdojKnnn1yDfGMrscnxg0Pdxyu6OCrcfqd/Fpl4K1kuU9BpizmClLL5hh1kpMm4P2pb60y3H7VeyNn/7UaARzY3KE0ZxcXRBAAXbAwm9g/Ljbw4MIx1cUft9w+luqvZb4DJr83unWXdvwKAfzYpN/fWN/nonxjjR84+Y4jPoNg/4O5OD/efZmlJd5IN9PDox50NmauVML9tvjt5vCSfXJuQlfPefFrjwuA43YNQPiH8pD+OkdDg5uWRux25T6riH3G7VDj+w0Zxr4ycJSpvk29deZYfF/AGxzqYR9pTLk2YI7o2DaSoeBdcKPotAOCyfCoHOhzxSr7GNIT/B+hK5uwuJySshYcIH4AuTlRTdW+nOmA6EJOPCG/H3vQS3+YWI5ZAPPGFhvFfwHJLpjQyTOwkXyJ0Hi/idW2p9zUT5xAXvcPiw2Koclm8f1YjE//r1/noPiHwbiYjoDGI5pruVDcOLsV0VmD5qM6osPZEQPSuLLO043xr309TYfFNT9xF1XArlYK1yuWZP2usU4nuWT9htrPKBLeCjUX00kbJOa2B87lazP1VrXsBqe+3bQF6KzyLUDz7aR+MDDrHiXgfd6XdsKbGYO78l9gzzCZGs32Vm7xlmd9+OKALtuof1tqGWvsLY/FS+/iE82EAo99igj3WgUV7I130iIqjO4XOiZBzczJ6HRHiJEvYb5IkgZ/KcuPMR3tEEGi8B7ndgbSHO4m/ITXbN4jUP7zfpk0OTb/u6118J2zyzAoNe33bEihG841dfRx/4xWYOsjKmJazHB3O1bMeHU4LuxTY/iJHQJJhl0suuiuJbJbycCQgzoBfFgE6K6bxyPh1FS1g/OCI+v5fMc5LRW+jz3zPp4+mvZqmIK5jPVe2jvrYzN+vVUjrzYjzpxQQ6kHeLEsAJuvMz52F6Kpozq33CO9RAjIefZep0l0YkGzLxHIf2A7TRTYrMomN2T9Ff/42Nsv5BnFmAMNjDnDM3DGaBj+CZSyeJgGH84Mk130kHWDM0d0e7kbt64ZR5oGc4c+xrKZpnHaIHF8DF7s6FmIXT8LA5OXJTDvIVe7+okPvGbu6mvrakcQI65ku5cdLY+FpSaTFHfqmhA72ewfPjnvdxafYRKOTmNjJ9pKVTu43DeLxLvrZlwpRHxmxztLseWGiT/1/f1BG047Ps+QKx58JMf8Wi3CS8vKVMjqnZv2FYG/0AYwLz+7qBnDjJiRxant2PDrpXgbmDOcdtOHelWAifmAeMl2bO8p0NSw55/pWX3+Q4z/XzChwYf5UUW6nQQBd2UlH9LeD3zSjjcmiAzXTR6o42Pl5pRPpskj8QS0xf1TNx/q1shfwTaJEIXDa28Sqcg3yYTw283/991iw0fpzssw2M/Ez5HEJc422A34xPIPBNWtqfD+PnABqHqGD+9Y/JWVywwVjlyoAH/Aj5F0Y3udXh8nVybFoWu4W5hwtxSjux/nxvdyUNHrCeMQceaZn3La2He3KYB9rcMWdnjU24ojKoGLwvoXk+PoAT7bxxtWbRYJcuYKijS+p435A37UarrOLJnUe7L9A/O8H+6qN8Mei8DfFXy8gBtFffhjpSjjxU0+elnsxJDkcQ5yw5qYKwraaFgnFDe9De8P3g34pF1MZ3UBsPL9ITU8swbhwJ+RaY9Bvm4quX6SgmGTWh6a/UsXZoHnLgfTKihEb6SEOV51GyQt57lgPZpeYOvQu5fTT+np5NBs5a/7A2kTxJrRIV7QbgAdRSgrDuHNAYEIcer5qlglqkMLwAufYu8+0xGw8uWz/dpJhB/ym7ssoNK2QuBNrJFeJZFFzakOB63E7V1ElTi499Dbm9ubWjDk9PeC88fpTARqWFb83E/3zA28EbRdSFGZMgzLTXfl1tEYDO56TKLPtMnccND0tXT5lNV2nXE+Ru0HrNL7+Tb8jLNxj/gIGqrccB4i4+ABfccYRAkMkF5udfn1tseWEaLmU92J5kkI+c7UCj5EKiHU/G+ArscwCm+2GOFzXCe5g7llQTycPzRqK5NN5OjaM3LY2LBEak6fkexmpDBfFocLhw/Vd/eAXejmh4vecrt0SBUW2cZe15A4z+Wx8srS3wvoI11CUNV7v2vzqVfTllkDc/naM9p7Wz1Rh4MLfIRdFdfnJ3noxwpOzPmxrt1zzcJFHmAQ+zhGpG8sXUwJr1NZ2Agpn/CbrPA81CQC/LD2bZReLv4jrYjqafTsY+rbSACAfrABfKIZHCWSEDRpXxkL0pE0ftv1xJKMOsQru4sowfFQnMnZzS+neTfAcswu3SxvcU2LHi8Z6HpZVp5OVaCxLau+a3nz0xves9Plwf0vQDKXCR98w9WuTH5Ir/z3/5CvnrLSvmb9M7NBkwqQWMGcILrIQN/P67HtW+6VGeMp2UQ/lQsM5U3zyx+z/fR9Nzo483kNMtIfgZnuFDupB/bOk3gTQeYq97Ug8OMUpMZJT9LoU1Ogrgoob/3qG/tsHnWrnc44BmYppX4stLtQL7WYvPefzWFniGtVZkBT+rsIsaOlhVgbLU3300jnrtCb3OHb7a4OxWAUoSK1krMT/yAp/wqBM+xVHLPx1m7mdo08uwsbMi9uuog5iozsBPx9xGsRC2qS09MtCkebGDVWy03/bCLS3yALgufLz2D7sWmFEaDzTH+PiUN8YerEXq1CL504Sw7q3DKvfLDgegcfPlnnP+TQQ+VYEdCWBIOuIqc7ood7qd0fB80AEWg8kPmBqucP/6pjrE2tLcVpbpI8qc+EPkC2S/5cPcRc7F1sY8tsgemDLahZltvDC1JuPCKDNnThrRiH+Y+ndp7sno9xV0CpXOFuKuAqaFeBw8Xh5PEmv4+zR2juvnRnL8hJhdgI7cQM4n2NnCmJv+to8bp3Kf9zsGLOblI5JKwDMbT5eBoIrhuRLdRSL+ARqeKsg/1FWmjvIuaPKq701YANrRRR8Q+fNkVQWw00U5wBpabUDfli3DLvDFrEBr8eERQU6jGX+3s/59kw3dTo2blTyvFvCBl+yvT7rfrifHWhv7E/6fLE0twqvOHOK2uVO6MyySRtrG+fWBV3YxflyJDRpvwhCrpeG/s2KK8IIk2Voa7xPW9smaox2MHR4gh99FT7zK2joU8krlmp5YEtbn8NLLFu5/+wtI2hOHUNDlvhwgbvut/+lCHL600+BVuvToF6BT8ODcxgnM6xi0AzImnoIan7cF9DK8VxtdCCIHMvIFWEewIuYV5a8aM6/mOw4sCxp7KRLUPPmkbtTsCYkrvEMiiY4TYEei9osD79/GU2yTKQ6FmLG5P19H8Q5Y+0EHflND6dXh+cH7bqz6jlXB8p0M2z+fR2LDGtBKw1rdM6rTZiQDxP1CIKNX5VD1qE8KnVYFPzExHyrrbnrMDSSaBxHJK/z6K3G66wlWBnCYhPdxaUzN40pmbmfwvH97Xx61HnNemL3V/3x4SfDvTuzuQz2XigTxmAQkFEWXM2vhYoK1FVgbyP+QTyB+Un02d5FBr1T8uTU3F27HVce58Ztmxs/P9F3/679xr7j+yKOzTUW2yh5fkzWwMmrq1xToL8jlSBPlkme54oQx0LS2vpEB3UvIVcDtg9HxtY8Jnuby5J7X1kdnquO05vPT3PNsVv46h4VX10H+mKN6XMLc1HQ7WwH6EtT6b30FxAFk/LHvZo1XEzkZZoC8OtLo8w75y1bRzMydEezcbXMmQp3yngop2ohnVGwHMfDXHiyBtW5BvrJLuttngzpI8UA1MDsL5oGsuxEH3TeM89vxudiq/4SfldxYv3vmQ+KktDscbRkSa3YhJlnc+vTwIMnRklfK1Fst4m+YB6/7Dk5uLaZOQNDn9QJz9U0hdAQekvXEy7aH7xdyWxhPsajrSYB2//PB3Usn9tIAtEzQRXyc31QxH3mgQ+DiDPR8B/pradjdzgf92qsEljQeAPzGjd/NCtzM/tmkMJ4B+NIyO6gHGJ/xUdTF7iEKxYT5HBu4ARhPDeob+8NqeoOw5/aQB5Yt+A4YvjuJiN8r8W/lQr32ln/7r8Fc9UADftMpDmqt17ZAV+BWiInykIzkVjJ9PjmQ6UBnguaZQf/ZNdqNic88bHSR8C7Umrtk5GFCIYc7wVMFj96sv+b/fBA2iSNv9LlNJQJ9reMPFSyZmuSzFh3K9M7Kg8xKhvj668/H56WJ4vn3/vJ++1H1BAMVDyTYGl+zidGOGm97yDUHYNW3k/3+6+v0ilFJrwbjOVyNncz9eIRcXp4c7DHTW1t0ZTnMkgdeYLzKGRBW4vCq7tktDxbP+McmNt5wDRoC1iB+Lhl11J35ej7ZSmTAxTn9u5OVMBGP2Ny9sYnfONhOItCja/cD6z8ADfRVrZ25//2TTzNWlrU52bs3GiR3FeEvYM5SRMQl1nDLTS1PQUArb7/lCtTFumcD2SWZXmdSy5WANm6j3Zu521Zx82tyzVy0KmFfQa+B5sMSeHDOgy5mFrIp5AujB4425Dtm3+pffzL9qpOpEgcTAjG+Ch6hAA3V/N+9m4Cbfr/mHkZ43QB/JQrWTLPfpjWKO1zgS7bG19ySt8ZPTC03pWyJ8iE+8AnpNFIdETB/B3VRFrxzZ6G5ICeigeXHOEoKbu7QvbSeDTzwndDDjY94YqjcQM6zSt2dMO/8xEYiNX1vR1XRqLmQSSXlOKxqMs9PWMNnRld1TBm71+K6csSPQlh31ut9M0A8D+2f2u1esZcpZ4Gcjg/MJRAPu3vjlpsmwkA63Up7+QbrLMkttgEdOWc8DitubvxqK4egJ2mXpMX7rdW7Xo7cBY0UENYhxTYb+A5vSnQJsMErV36VzlxVlueARplk+MgTJr18wOb+EIYca+7YcDFCbnbYmo2Ew+dM+aq/krGzCXtkhBn/2PjEow4ZnxzjrSSQnJiV3ZXG5t7AX5wnfP7OA3msgvJCbHkSMH51wO98sKUMgZjX3YM6w6Mc5LXU540quIVXfKJrHECMLCG3mb2UGdsSGH05VBx5oAmrGjJjit6f9df2r5dp7suT8cROWbejfuyrFdZ80Z05yA7iosB4JLc+ySD/HRtU3hqGaLby0NynlOuONsU8K8srBY1j6RxgrpO5CvRQ+weXG493/rqzf7UqR/6AFnJpIXv+28NTxjjf/vpuHh3Oje9Vis6bo9MdcdBcBO90Q/mgotI+mv2bEXKdu/NBB46M7qLK8IAm5t5uVAezD9yzeZ1/HZ/bWTAJMR4/KwcvuOBfPLg+1ZS4JT14jYUpzAPTb+vKXcW5H9v/ecnxoA05agfiqIgXapwtU+eWMG9MVuOxahei2IVH6/HSX1Nj7zCMT1k7jzVx7CvMk3vCOW+CDGKNfAJn3hvgfzY8ljzcGi+8zHhXVEGX1tP8wH2wkfD35KjoyWVPmKV2zXSV9zFWU3NTfz6qy6V8bn+o3Y2KdRnwgyO4uYtx8LKJsHZcaOXuZMvxRPcLa0Bf1r0ylfS3pni/w/jeGgoM2fMCfk6Yu+cbRmrHLXlm1ucGF+fLyZ5fMcr09AMWzDZyONug127lsNwbwa8wZqA1ug/J0CafOtPjNSbO9Z6My9pSdfrNX6F1gzV0YPsFmLGTv2cJWiU4jB3hy490v7jmPP2VU/JgMIw3KF/NLdfG+9f63YMt5pQgyG3hfVOP2wMP7k/Q1LLkcwn/zyKcJ2ZPtQp5kgfESgRo3ZAXR3u4nVw8nlx9Aia/mt77r9qeNBxWYFuLcXJPArbhAdbt2B0rx0syt3uT4+M7m+QJOHDD3Z3Ii2BN4M2WU3lLnBi4X14FaFo1lrc09DriHy6EkiCxCFFiC3H8VW9zfYK2oMa9qfbVjVHEal2uaYiNr7bO1mZN/XjTOPEh+1oy4LUv/Pzn0XEDn5OtsCZ/fXHz/t0pjeoMvTfMDo8K4p7SEI9dck3D15nvUvJIX1m0GyBG27RAogEGAE0pGzeeaLRbKJXnRHQZfH839bu5HrDp93tRg/1m7pgZv17DV6bnP8yFuxJXiL2ZBZ/9ldIG1t5fP/Pc9H4hPgIVZPvKRqaX/ix4fBAF2QnG9yRq7plobjKc03w634CtD8BsHTZ+e355x8O/ldq7O2WbBxEzK1m3yikw7+8mosZJg+R1JpWyXl3FfvtWuaCb/cZrKTe+3pw7B7edur36WjwcdaTyO9BjvGp7zVmIv0EH8hqeP7HwnsM64uvnzTA65O0P4D9PrZ+gA70RxuCVv86g41Js1uLKgcWCDeVGu6tnbe8y4EKeFIMrw39PNi55HrGVRrMPvDQ2oy3o1DlJiJwqsJ4pQm/Y9Gso0LPp1QlHHFcUdakoX3UpK1+HG7Ad8FgcYeM3676vwCpLIrJb0vMVYgA8+YKqEHWVO3+IELttFF+AJ0C3z5j48H18zUyfUtAmGwaZJvF1Ss1+sDs7Tf9X054Ao36LIHGqvlxrN7vTL+OJ8u5hh781DvkRfXCXQcfYitM2sJNsjA8k0FxZ5EgHuwDmB77fxrDmnomtcB1J3kYqN2ZlkH2f5aBfvYJJafpVM/6/nsDIJca71OZnYFNcD3osC/6dFXMl3cQl7m4hk/Hh4ym1dakYtpsQcmO/M/3ASBKSIaMk5qHuq8jUbxNgAPnH2CSchbQUgtwWqTH+vYtbjYub9MQtLbkmArQnis2dTynZAXiaBKbnXjNIv9HzhqLZglxhlQWRciwfZRHP0kH3XGz92jE1mLvXmdQD/u5bC/Aq/PhHCjsGTgHdy0H/cNDJ2qPhY8VifuMuvmEhzw0zPql6akL9LFnmMlhd7GuJqoCjRnRdG5BCgk7NNEbA/WljKpf++6whD+VoxjVlg32ylq60zJwA/p/KO4P3K0Rmw1x0mI5dvuIgd3HYIu3SYTa3V7sq33awRs3+ig+5MQfNTjECDT1Y93bgIeGvO+CmFktdMptzMm4rJvRNsO09c/CJrI1T2whzhlnmXFfsk6nmDHRQjI+2HvNxm50srXMb5nb4iHM7gziXuaqPgSeUQ/XnWunOoX386qUzmhqXtBggp0BcdkDv9PE9YcNTDQ8B+n7In8sHsBwDXYaaUA4UCAQP3ZStB9C92z1F+tlYcnN6Xl0hvIJSFSSBmpk52yx2sBKT/zujFw9ZMXQWPXYgn39h5+GB+HgmxpfX/3wmz39u2e+uCdpJvmpeWTMCHToe3a6UiNCEklKwzmbsMTYIYpjdfdFoeFYiWHFoj+2EXj4jd8w06E41KQehtIitzB68KpjTagxW0zMKdFxKx0efTJw1dOdy+/yQBRmU0Vjs0TejtWn99zVbP902RGUrfvvfmh4/RRWRr5LGr/2NQZmezeOy1Ih5HH0+QDfaTaE/hCb73JpzOvA0o4HxffBTf2d8xe7lEPPaf382Dje9AzzQxW8qhLkRYcQKsmemd5jxChd3t4K89vpeySo/IPP0mb1b8wltFPOytic5jP0R/n2fB5io6WAd7e4HNNq+tJaQraaTw5JlsJaA+eJ84MfSLdeKPUCD8nPl4ktlnQ2PHOv/u4foSVjjqS/F0ZqvlHcDYHpCJj6mdPddGj+HYmc87FzIIyms9iP72g7SwjrXaAe/32fWgpLBvtdFYkMczLiPv+XXNq5HYHXdiRrNrz2HsXYOlwQ0rAhLm4WKUoHP5Xi9Q4zfQSxP6+LzThyeZIUi+W+NknrmrnZ4MQ+tmB8nZ3FzjR1S6Htp+t6Gh3v2XIBZyPnkZhaF+Pa/z+r/t7fv/+aMkI8n0KH1QH5ac6+5OD/aQJpOy3Me6pOydFAydWUWJ+3o7etJIRapXUJBqQmZVa5+AiNcqIuqxu8ckErr0frT5kNbZKuYlIUdZOd9d0lD0KWgx0WhgZfIJUfBo0XkB9YG/DlJCS2dZtxGdJwZF8kz0aYWfo6w6fHu/PYmMJ4pj9Qf1qwAdvTVy3/ZytkjTBi/AQO6IpJ9wuN9OWy5DB631AelKbJHNXqMm37qdgz6YY55QUYGc7Uc1L42fUWFdHL0bu51nZht+kvOR9C5Xc5IAvno44/nLbvD/m6tA7XkDPOTcQwJ7VLZBCKE6deG9jUjTyriuXaAB5lnzuHsOuQHs2+WONIure2bYLbOnQ5j4/PDdwjTAUhmMXeFXvvYTzKqNOW7MXGSS+KgtBToB/Qyajlb2x4X2fN6UxoNdNQc9NiY8phg9nBN1+SU6sX0i87+q1V1a8hDQiSb1CcYYt4KjDBVVvyaG//19hAoaBnEZCu5ZxaZQc1taBF/Z1Qb36EF3nkkp/NqGLjisjOnHLXLNqU1i8TdXevC6JYO03U3sJ5fBVN+VpizTIlb/beXsoF1+NaYOwjj5sknbRtf+kwsvBw8h1rLCDo/B1b/TgLvrOAnc83ula8wvLO7RLrg4+OcGt9fUd4UVZaYkDg9t1/J4K3cGVwsXrXEy73k2Gr08EiC7cXcb2+B82CseLW+3zhohVp3AO6EM515ELdC0A/PVjwiYsmZFYenWhu7cba4hjmWj92cOJ3kLNbZxC/mTL9Ff/Vsr3qSQLldl0+xo3jpMfq5tkhpQmWq0M7cd0hpKOfEVVO9JjcWcDcfl30+ZpDjMKamvp7H320B8dDcORHw+xDhRtisjtDrbPQGf/fMHNPTDmITxHa8cg66j4CC9CCLn052B7OEl7iXMx+WK3BRoGi3MqSOJStt0Iemr7EA/Ws0BIypt0npwRbBnGCBrLYvX+/rAdpnd7LlLRHmng0Kc3N3GOildHEgi9lOBDqZ/dgq7FA9zLgVjQ2qVeTB+SkHo6X4t8qXPTDtmfRmf0llydfW9FYJUqafXNgv3nhIBrFugvkwAm9byQN0pPitKdc73oyYQ67cEHhqyrBLRFeyAUbWkSusnTf4mSdzZn5y4k5McjyusiT59iz5bs4snMI87I52+XePnlvxG9OgHx3E1NfV4WJ7ZEGsK5f8SKrKxuaICeIkdoeIZmuTbwcxzX1CZQWZ6JkGDcw34lcOj6vQ+8nYcj1Zn4963KwV6uLMaV77NmYf3oV3EtMBX43uTcWs24lXpelb5HN+tLS5LxUbj6AcqT5haEwjtSnXwAH+HiRXOg23koaW1UzyQKf40kJ+Bz2rTWwwd3Nfdyvy53UDeuyeh8YbtoG5gYAt5EdiMyd3Y7v2d+eTte1rzacqxPcSZirR8L7CLapZbO79XGAdAw/Z0uwjEMoDHsQocfWNDRKVk3z1xXoCszqmLhDe009uWWu5ojf4b8Di7CWWt8I6hvEa7tUorczkT4HM3YtThThKxNVKC/kG/H4F5rvxIHtAbNIU5lMboT3ktiBF6jWGMxn0wgMbGR1A+FxlIw4Vn495JK/5Grsny9pkQywrH9NcME/5u7eMeQ+27o6CWZdq2o2ZRs+cbTdNaGth/Ngh77BiuIjwn3N05ferVj+HfFGyOFUQg0HXGbd7D8b7G/LMUFLNIO5oqedR+apIhu2h6tGJWpsVnumSB9kG1mN/XBOPBMs9HzXEb+4IhD9AG5egly4s+Lv/tcsG4lYoxr93ekCr1I6HgLcCyHU34Mv15CQe5CLG0eBQZ76d3PMFdPCtnrq4sknGkKSUmrPZDrVDbHpziNLtVlXs7uU4mHjLXlqP+oFXj8j40PWYyVsbdRZdCTNud+1oH+pIs8T488D8Vhz/1GsGY+P91IEsYR49gFk3qeB3brzaqFpAV1f5tDvhcVilrXeMxa874HnG4iMvYL6szDqu/ATPGdDAdirxX08ZQd/XxMXG6zHEpjP6xKwcQQyG2KvgO7cRWUD/+TRc7CTq7DqIL6XzWJiYfeAwIJH5tW9DSd/FnMszUPrSMl0AEdk4nCdqJ6aPVmW8LM25fsm2KdF6g0OvIBbJgBNmyh6VKFBR7RcrFXLJLQi9rDsnoT2TtbSpjSuC/rh3lJPiVQRqVegjGbuveoL0vSqgbvxsqJxrYXcv/yJq7vS52NwNfFMOjlvKv/LivMK4E/hs0Hq26cvzlrtqB/oAgVYEvUpetQd5K66gDfmm0fLt+KuPsdFVmoXsJifeS4EEjjomA5zUQo/S1x9HB+GKxUw62xG08rNlMoNx/SH+u0NWZCeW2VeKK4gMgB3X1/7GnVh3T7Kz207ARS6wBOQrUjTuae3u9TibGote8F//c+u/+0XmLO0Toi9kaD6fs6IzPTbMOcAkI4hJwWLuVE0iikU7qDduo5eGDVkwX6joFu48IEfrBRegTYR9ylz+Va2cNMw0Zo2B+eIoEd4pF/yW2WgPPC6yPpaQX6w24gcSfj5r0CWQx6xSDyst9DfEGg188qrv5S3ExnbQFUXnB5u6BxUL5Ly5UzZ+4n5wZRGvuctu8K6+c2CdcsV9Arnht/b4vzOVb27HXS1QlQ/wzp1uLYeFmjsbamJuTdXLz/fZTuSGn6D1C/KVaHKp4P23ofWkoe2CGsG1iz9MPwfI31PtBFaiOYa5BRMQZlXAgWb+9isIGeURa7NfyymM40crIG/46O+sDZ7RpSGZE633jfPvmUBOhOcTwC+Jcsh/Po8THyDO3xWVMawlWjFbJHS3Jr58QpyIGBqebIW4bpEBdPq+HaTHHZhNrMuA618c9ZNGPAde+Mp7mL/jsiar+sr3yzelMG4r+qJ2N8iQXZoJcteELmmAA+5owixtvMdM7WlYFnGZi8wrHfs7CdF3YzzUA+PHTpJyeLz0141byQpc5iVcdVgsays62dIuLCla6PT+BM67w7N84BVixbrLQBNlxPTFZN7Ef5mgKzKND0Cym0QjWQn4G3pOs6m8SfFvxfvtqxZrkexzrWliQbrwa43uxofpaAEHiI3x0H07reWGjqUFTPeshmCtJ+kCe0uYZ5PpxEhMX+C+uVHrvp5W7h+d+AdTDJqqy2XPLEb/aok92mNBLXZvg8To2Z20yKEK46K09UMJNecCh1nPV9PHSgaLriJ8hjlwUk6cq+FxUiE5UQQ8B2ofYtiRBttCUGX6i4gT5B5K/3p9YMVjT3GI4Uj57ag/gJKslAF3UgBWsaCKqYoH85G6787Lewn00gP0UZAPME8RMEax47XwOjzONC+6pFrJE2IkzU1NjZCv2p61dslQ2g0wA+gNpikbdA7L960xe2m+6QcxmzOa7wShvlwTK3fxInz0lfqQr9hi/NKfIvg9gy4ZlW+lRXaQ1IZyjHumgxtn29cZRw6adKauvMJ7jmsBOt+JD200h3S83hjkKZhXGWjIE+jO8ghMAjGcSVfeSBHjlnn9yepmNh5unOoVPuOsVjI0Ls6Ag7KymL9A/7xqiS3mE8R99pQjTvA6uPy5sDZfSlOXih07O63xD8RG1kwHNzU+GYO5U4ZG0+tcibkov7ZL9bze20gSrGOr/q2bmH9M/6LEMfctyGtftFfFYAEPRsCwbya3t4ivLe+KeuQyf/6DP3s3dyGB57HFRkSktUUwyHuJ5iPRMoVnf9QFX6SvKjxyIcOD21jBrZ3womjsQK54xfkOu9hhKLikIi4ojWWim2fiqy+OOiEi/GiYvjWmVsxRYTbYu1w8cGPqMgQZ6YQOMrg+6h4iwNrhisJ36U0tG/GNDyzxyRvEhNc+doD3V4vwg3GP1JKSn+Pznyv7YQOC0xFiSeUEsbpAl7LvXOBqC/NPK3HfvaOz+fUwS+x3J2Xqelx//fXuVH8+gMcyiNML73ddO7z2vpbvctyOmRUX3JzDFbHbMDVkRelW1r8Lj2bNe3YDBhfws+7UKS0WJZe2hyyIyBez410V8kVAnpaW9ayt8k5M2azz6BrQDwpJWNN/XkhBM/GDovrc9nxfWdtDPdoc8khJqcJq3f3nFccgJq/YKznxyiF+mn1SanVBPWC3dEq3ZqUDY35U0byYe+6ZxY/ZYPZk9R4zlL/mYSZw3hamZxmXzdBdxbhEiU0WCpqI9o3x6B3xuiPAM7ZAMuSGRQocAfdBrDU924msI1zKQpaqZyuocuDS4QnMONaW/G7H5BU3nrllP4g4PLB4sMzmiYzkFwnnZ+1sd1STcxvhJA/NHl8H709+gA67MtM9JPzdE/pu++BZ0W4no3dTix/S5zaB9RccnS3J7PlKIN6+9FflZFYa4YvxAwDOvWD3vAJ7WlQAdw+bG/z5M/V1RcaNi+GdJatO2Qo6XWACPGGpAjiD76bmdw8vsej4+Kn7WMgVb4CjjbfYaw/2K2XxPps+7ykiO2kDY3PECY+jzEKgJ8yeq4xL3S1CN8B72UrDbiOfiyOiw8qiAwAkWsRod+ZsFuKdn8KayCcMrCVHpbUFa+BVI+2UfeJx49sMa5EO27EK4nPWkwT09a2cGlMbl6UhsuTXVjY+5Drg7sqeEWjR371LRkmGx2UD413m4eetLGSvWBeRQL3JCHghsF/z0D268SN3/rnVuDV9zG0O7HZyS/toEdOH0DN6IbeWtOqzG+M7iO22Uwfeng6JRwv1kOPSNf7hAgyKE9DMlM1uLUjEXAXvl9+IwOeXJqrCK5Ds4pOAfDeg13Jmf5i9IGANlvXozIcHrJ9/kAdi3Zoz0WCws+cygI44NwXPyWAj0H0ecbylFaCnow6+PTC7jTdCY7v6P99byabmRhivCNccdMVGjJ5HhTK+bHtJm3tpxXbCZidzVN4wTzfARUrzrhpA+zy3x9QnPnP4JitiIcZZckudMYd1zrsJ2OxEit2f/zJHcZpE5m5gAjrDuAWpJ7abu3KuTzLFIzb9u4flBuMWgoadcYF+OGgY4IpTTWWUsHLNC/Sg7i7NQcfTCHid7gIYp4roxAK+e+1v7CAfhdTFrBn1mYaHJ/Durgm3fhUkK9PyljvLphKBqR8ZgAEFt0wujY/NYLwY1AcbHn3FQSGFGeg4nOW+uf0P2sIG3et0X6zfOX/vC81zY3q2BF6UhBg1I/croTLsQpyjoE9tdqf9wS0tfVSDB2xTrrAWv5R/2EjIKYLvNiJcLoIDn7LllgPOSUbiqo9THMamBuT0FzdW9dE48SmJ1GS8S+pIIjmRI7fLR+nuIAZJDrlLlCvyuLXEjaXdkzPcc6aF8dc1nl4wh6NsVJUYydj2csz7YFPbIPQ5P+U6/t9nXe2swNck4hcK+c70wa9svtYF6qoQ0SaAeRnIJ3V4QhCswVEz0Bm01ZjnFmg1V5t+A7y2bCtf8Q9oW60EeqsGu2i4PsB38kwfmde9ADF4ZjzcNtI+tXfG32jOg39rnV8vJJT3BKkf7HRpMqJerdlNQDRKkUzN95Z6tmq6++IrlubXGMYk5yhT++1T9mgHGlpX6K+n7odAKgXm1MYvl4dbDmwTteEDdAh2IJfcsZ3d8GRqqO1A9WRqGPrOzN6WPZhzYODB2JL59tFE76B9UQbv8wnvPuP+u63W8sJ69fJqGRTl52Z42FI398bp4B3jiKw4VAh9Zc78BfkHtKs5e5fANPyRCFgRTulJx7YTsx886a4OybekfIGMcs0DYM3I6CZyO7nDJRu8l/5aG8h3yt45aio3EH9Nfeqemfo6yIlABWfaq1SOCGijixsdbIBd37gOXNV3sHZ4iEGHV3w3SsGso1PCz59/YJ09szW7p/l2Kfvd68x3hOeSjSujzJ1B182ocrxj5YM+d+5Pwbib0h3M/eEJazNuRw+TYbDbUGvu4MrciWoDuTceD7nTERoCs1H13bJuOjn6jVvEw8AG//usU2oa5fpkY/rGpIhfmwLvyz6456bWg6JNPZE3ow9aEQfEnUNSBF4CvFsHyDpZ5uYM1jK/blLKE1g1F3ju69HyPmTYOGyVm2r8fPnQ3SGed/XAHeosNivwmVmg3aMuxoNNjEsKC0jIRuNJhaJSsLsQj4EEwYZBrjDPIoXHIEYGeci/QTPFNePc7MfAvDmJAefSeZ1xLIxNck2GR0TCBeJvLOA9m3uiZcr4s7G2bxztehHiJBHby8kB/hOWg9EONL5X4ZCt5aoMV8NqJ7aydZUajzoh4dk9ohyewZp/7Zn/mH4Yhi9wCDGdZ5s8/+eZvjiM6VI5ckgc46dDrmKQdjl6i/ivB1bYhkvHnceR67nkvamdQi7Mpyl30aMO+K2OyIIdQqv1r+dMkNJ372TP32LgN6CzGVhZi0iy0uIR5GqYX2QumfRbn1SNVpujpb6rr+3hCGySFmfj7XAFXoX892l6Td1ymJe5pY5Y8KoOlrtgf/7Lmgl1btlWtMzcg3q/p4X8YuvBU8PnrQ51ioU5Q+GnNhweubs756ZXCZd9O2xL0CoS5l2qnlts7j6J4ZE2nLuJowpQ5l85236o8fOvfoPo7irZcGmKz1WZGuAVQ9I7WMJXQCvv1tHexRCrUIuyG+S6fS4s67gGG9nDOrZnBzjYAq1FpY7XhqpDy3fOyfm8sYlAHjxvkv7l83h1KSdRypnXhAeYy/G+9eHnjDok7LEvx3/G//1SuZ9WVRCrzLcOK+aS9DKoOf5oIv5F186uQR+rCAG3zF0rUNFMu505cylBpwCHv9YyLYsOM8Z/cEB8YLFFDTFhohtZmMHYJxc6zTjlcpNG5w3zIWZGc5aPcpeGW2DmOSC/fJHdZZ+5jY+t0kampvoO+hYBVjwS/tf76Fq6gXOyd4/asSteoDNhpExhzvMe3Rthw/gED9p32PRc5jZ/AguY+2MOaEKIoWjgfvwBc+GseOLkfDeQHh0S3pHMNT1954Ct+rUv6vNBbk6WDXIdFZA3gTt1mYRyV4feGcb9Yuot4WdEJUhy5SxjFWqWhHOc9/GtCa93LP7dVCQviUuSqlAn0AxFPkDusPU1DeXlaJcvxp6NT4scje8Fd0GrPPJw+5D8fMkdYA2klwx4D1NNpcM5Nb7Uw5YRtsTw7E9gf5GgbAOxyYW5aONASj51OzIuoo0QytfumYab12fxksXAM0gqZqNESytz7hDlpAMxicmRwTh1pfDlwFw0knB7w76muRUz4FRM+ftG+PFozgCSiTmVLp00aoDD5f1ky9PJmT8IxMnXXiW1Bgvik9modUB3PVS4pbXR5/BdTY0ztvha0dg1PQRKEX/x6XAXPeTwQSYNn91qiFnNZMVDcsyHrcRC3TNhhxWKNyUN7qCl/vpV1uHjqwqXWyq2H8AWwMHbGCRukXEEue3zAVzwXVmQZ8zN5HD7TS08Ul9NsO4SAbG3NH26e3VO9wvLNaYNkCke9ZKM57V0ukT5/+eXnYw8b9mD5uvhwcLGbmwZttPONV46DZeyeW611Hhuwvhcclirph/xgPLKeuykG5u6sIsc5gso6aAy3t9B5p0c4NNga7Ov7R6vf/cCBuIAs3wt+9zUNKy4Au7/Ub0CndV4EM//6639tY0TyLkU1iyJ3h9VwQ9VwCu8lhvgyTumZIVn/GnFcs4DDbG1S7jWB6V3oA3t11oGTcp7yOdfdQjPp+f+aKEY2MnPTY+HAvJKD1qh13dlB08gkfzoNqYX95lHoJ1XPp7WbFP2zS1l3o1aZErc+bvhaC+jwcpdlTWWenHUoxXdo4K8pgptk5FkakC0nvjY+uiqonIjQZOd3G5D+/e16jvgl46ZPqGmz6oaz5fG11bek30ydkeY670K5Ll05igZZ8jp78/SQa/PmiCfbRpG9jAOXm13b81+OYugtKtR/kAufGInBm47P+spcBR75DjEJz7omP6eQ6sHm+L5aMem99BBWugO/+34YLxI4N8G8gf47uWF5LBp/pb6c21WfMKim5kI1ma838y5BWivXx9AYPWJmFqeyOwvSXPaSZsRxjz43CQcqCfAuh48XQ6PFeaP8SINj9YSwrwOk5C96oieScAPeUi8bDK9XHZLzQjBljqoHj8TZpv6vjfsEhfnW7sdAgsX2iGT6Xs9Z+Zc8bjuTD8TnDu8zMZlagQf5bR7CvS5Hh0StF///vr2MD9xk/X3zsN8cuH7gd7B7g5iAt8ooU7SkicJ60rujUduZzyoUYP+638qtcagji84+LQY63LJUFBNB0uuJM6KHasDeYRYFL/O6Fm0Q5U5W2YPi4rtNQFO4raCdQ8oFpneYbbx1NXiP88RU+tfcTd4EtOfcbCPlbW9w/u7NX1j6hQjNm6rJkTDyXmk+LmAUFxec/6K82VIRXxmgqygE2Fe8Z4FQMmMC4wQ5v1ugyFT1H2cAJv9+jCJYHsw2u7k3C9Kd0+KkCPM/mzEz6b/BrHji0RzUfnkh/byVc8GWgsd2KhnLvi9clGHi8HGQiZHl8TKV7jlsQPzjPEAuN3CDnDflPj80oAugDkWJA4pT05wh2f5Plnbogm7IgVdlvo7mMdkhXf5d3bDmentWz6oQ4Z2UL4Iu1Basc6YOd/bOvW6+0m+IEcU81eK8FkyHMFnnrO1gVwSF2kwxypUTER6pOIOmp7MxHoQHJloZye13r32NzLCsS2/QIdTHAqOEtDDE7VVykbLodGuymE988G6NxznwEGPunhfMYybYh2qQnLndufUNN7QcH6cbOMJ9Al6p3SEGFxF5bfx+31pc+lYdoKYQxydAbu8sRHjHBhXRCRIhm7OKcS14WrqIXBOs0c7Xm0y7SLKscTOFZ5j9gmzhZi6fTZ6ce3IvNb6mbP5A94Z/Nlff+yNpBrwA1HjBZD6ytxbyJoR8oTThWTADyI+bcj3QMJxXhYkxtF8+fWfHCWIGSDOSdtHiLxpgbsGmX2o2fhJ7mXYCWABTovdq3/UjVj8J0UoBY42PftItsY77mhci3ifCOmCokzFhFdY/TnkgpwGmxsXsw/xOag4eisLDlp0vlW6yyE2fnDh7TNHnUur2ciik0fr8dr7Wvkk0xJyVwl8KaYDxCfj+Tzf81CNEG/mjOuuGnGHh22cmz4lDPhI6Bw4y/T8dVKxcYAtRBPa14qrM6zHjli6y0ZTZwZZnb98Oa/3rOcZZ3LPNb41DMZBgPa3gZEjdifAAOXUVawwjjCfz9bcAefIpz7xG5ZYONxsgMv2auU48fGuKuRHKQLzd2gVQgyxtnHGX3sOS59yfGojFWbAdUwsPJ/QyNwOtBTwUWiZO6v7OtCUacgWFD9AT8mG6yJxYgHaFpWm/3+ANORfPwHiIf7O9D1jrMe7k4V4Zv2fpyTV8H4KVZQMVLsrTS3RLolAI4bd1HCVVEP5qICbs2knqdPlZBycHOYlaH2fw3MJrb/4c3sUwz8LW8DKthRyKtemmN9qP3BqRF4MYOqGNjhS1W/PTvF5587cp+Kwtmi3S2F9mV7Nld153NQLCbuSgTfSIJZNIGENL6uyO5podGoQzNECO5WFbN53+5xyWvfqWI1/d28hfoJkiEwP5QU3EazjfndJKXx3mK+KIwuoLYTYCuMYQ8wHTgKdQvVwa2hza5zNmgYyAB6OufGqF/8sMpa3I1AmD682sEaQFa97UtcLC+JzFcWbpicRj0o3CTeQW5cd8H0m2ScwEglENO9S07/f6YwHR5WsQNWD5HL49Mo+Phzdd9MTqiBT7KRhDH/ON5XAP7mNfxr/z0s9MN4eyvJMn4k1RbscOzoAbW68Am8Z255yLU/lePVYdHZrc0a1vj9lKL+aNS6S/b8bcFYGOTFioQQeiQ88kpUKJW6DLjw693vtdC8NC7lUngzDV0WyyilGJcTD357v7PrbOxZ0nE2d7bcIrUs5Gq9CPJbj2UpEcsFcfXPI3RBLjN97SgX+SBzjFdNpU7MnkNyAzn75+NySAuI2iu16RXbV61xZEuaqnBJzthdmtmTxB/n6tzLQIlTYl6PVCd4HxtP87bR2saDqG8ZjAxr7Vtn6VA/xNSkOph/rhoxexC3+4l671B2sU+Vkg64kSkB7BLfKL72jPXtpqOFdP75AbbEMGJ+unx7E06+Eqdv/PBmeNCRO7mceFTHm1parqOsydzergR/TUGXJ8NdHmuQ2z0t7B7z7+AKuvQlNRM2238bvVeaLDXmDpUj9cIqeFejbdtyW8B09ZvYY3feNGiHWr6pqViJrf7gcHXP+y5mYsrWaQKOt6NUbMy2tBSa9/K79wwM0Isz0OaEu/5aOdlnQ+S3DJaYdzKFPt/azDbM08PCclS7/ya1mrZ1Fw989k2AOUqpz2fMlCWLGmGf6Hedq9F77NofkuZRs/e1LN+K1M+ddptdBeXT5obG6uyyaJwssL98vENa7H+48gtLaem0xrCyc3cQ92y2F91cQc5b/n4ce5MF2vwXOQufKeZ1JwbpHOyBGUBe9chu3A8WGcsH5xHJgLAuEbzD7qW80S7JRgc2qlZsapnsiYgv3nSc5ueR6l7X954O5sYB57LbBI25s/OCQT42H2+tcz/g3U4iQEH+NbhTN9O5k/e5a96CVBcpV+BDU6n6Izy4JjB3oOtmEWjfj8qFY/Ab6YeXOlnJTY0fVb515PdpaCi7L6fDAvX57zXk1fdrARhVxTA8IZicOsI6De8G6PQbCbhE/ViG+Uq5GGnYDFdphkZpYgS8N6lLI9yOx8a1yD7Ded7Kd3q3SkmeBeC+ZegCLv+rZHk1BQv5cRMnJiYHalAXEF90dzH4R4VxAvI14iPuWLZoFi1UJTUF7pPk0X0TRvbFJ7bMi/qFr/F2yOWwC28tHz0uoubODY8WW15wvIYZc2mG45D3zKrZ8UDQzYN8C8lgP675vQnNPowPdHxfZuDX7DDbkE5QI1Ymge8OgpyCSWGz/z07zf14yYp8zAt/xHX6/aFBfL23+Btrs3vgKODYWpoar1ARlBURWGhuWgFhEVnhng+kRIJl3FX0AOh/jytk8gNXWJoodCXGgpXjMv64P0NFZygNHDHfQWIMLfPHaj1qTiVeEkVGFxBID9o23Z7Ue1sQBql+1l1vdJS2yZ+UssgYtlFma50G5Yebsr1eooh1qfZ5i+P487PI87M5VsM1Ijzox8piZysf/7UexgURtcH5yoR6Qe/vWj0MiOsqYPZdMH/OQXcqew3vt/JzZKV/lIy8I5O5dCfn4TsTi5mNyAfArgdU8wUs7F3rP2NbskxwE+vN3WARXZl/6VDnegbuyTKzGlcz2a939UEpACwYuqDmahvax1cBv7N+9Ar6Fcb1IJ57qqTvVDpmVvzsmw9aHmHrP+PxkVgfr9pFlzl/d8nfGPErEVh7d2NxB+KjXdzcH3ZU4Sper1GTFcybw0AbeAvHW7GvPqc/sxk7u1ajfxJDdTw7+AUbKjzDuGYfPAk1eCo+Ua9y3vHv5pzzz4WG8zc+V+D2vPIEG+mm+FgvmpyU4PhBnflLj8TLqPQkRsEl3YYgn2ZBdaL4UbcD92sas6s3+I3Yhf11IoEsaSJNznNPa/PUHgNhyScKDmxblDWjq1kykrIIYfq7ZS1CS9hBnXNP/DvivV3EmZlfqzFNivqX8cyOCw6bud49yaO5sGm75sDG99cNSbO6JjZE5M/7fZ1nAXVfQiQ9mPe4w73/SwHRCXjRwhQ2a0G6oZPCeDDftzH1WaXfG97cqYUUDv87cWjZseHzBvGRCd0ZrPgWbpwbBm2PEz+3yVefgAKM+If+dpZi/qnwJm4FtiBMfuZW5ZNX7hs9F3h82+YRnyLk96YlbD8uAWRekQRykZr+i+IT8jVLIC8BB+qcd7IUH55WMBDjw//pi5WzZQwx8awCEmgHGwH/fVJSANMcPajOrhJxRUm74ieSj0UQPFz4DdEjzaFaeMd3BOsE4DbY7aR2ekGt9NgBbQURmEMeVZq967N9aHCHsM8wLWFdbUJ3NRoQwy4LDIw23A3zvXY7UXvToR4TKhXf+3ULePK0wHvnV42tp9HNHh42HTR/6/b8NFdkNw3OqXiPs69e9bKueAo+PMG/d7NKI+aFsDVQOtDypj8Sai2TUXRvxb1i3DMbYleZeCHv4xueO+ChOIWZQZ3bxRG7065/XPP9dKhfmmfV5w8J7a/x3928efv27pKwr4TvHqZB3SrVkI/pOHPhQhKfams06YTxcviE/ZpQtDgu3KxNqMf3o1dAl8F0cZs5NTV/Z0Xbgvdm1s7mrYj7INXlpvU0rsM8s6Sc8uGNHfuVBbIOWC2CUWab5AXT2AfJSZuaailTUom5l479nOWyeaTGY+0EhD7wUeG3JLQzsJKPMkVyJeD6t/C1fk9ce0YNEs3sC/sxDew/apqsomhSKK2XHZ2IBZ4waywj+rbWNMOQHqee3ll3dquBvJUVFg/ib6D9daXXfR2vbicmcrx5AB8YjzLkUtP+LN1A74u/c+QcxTAoyqSwX9iJDHWfW1q5GNSsrTipfLw2Pn6JX38QP3JSqk3Ixzlh3gJy0q7+ut5LDzyt4hZ2l4xArIGbB2GDQZtvXvZtduQJv2oo1PTLnno4APVoX86B6AvOby3o43Gv2wO2AV+Hv7senubeDjo3NNYx9iJ9b4GZsCYjNNT+b7megUxAQg9TwTA9Tz/x3LyD4Z+eoA6XX+dm4nInbLc0K3MBm0z+0q12StMPG1Pj8iD4+q9H0m48lt+QVONWcT/wodPZydzdUlP8/ps6tuVUeWcN/iYNJxZeLgMDYiCB0AN0BcgWDwMR2bMyv363MOLNr6qtaUzkZJPX7vFKruz+K1GMoX9NAj1zvHEXVXz3zQiOXl/PlSBN25HNV9ETQvrNJv7NotHTSIrSg7FI4ugedzuikn1LosqBkaRxJTG12zG4T436KrQ34DH1X9lzS6P23xiFwwovZNnINHwIp4FBtpxHOi1hz8MNPovONuZdR9NpJw/mTjeDPuIQ1b3Lk+Aq+5MAGHbAguTA+Z40ld6DFt5aZ/iLdoy5JocJZNuz6up8Cuo1P9XMrUlf9AGthLuwHHW/Xvd0ROpD5WOITRdUiLXUigjwrzp/Eko8MmDwXS1Az1dVs9o+lujKTi8+MZqN9Kq4XEhO0t+zXufkhK9Nnq7un6bOyt9gGlxyB359ZAE/BQZP63dpq4gPDexVjd+ZyRw12Ct7OqWAOMXvnyaF7U8NsH2DmiwB/Hxz2ZDG7056fOH3tY1/XvVs9lUazmBjE1K+N6UdWA8NT8btmfGzdamqpsD5ta8XmgK5skVTlTdw5istHE97eDs7OpUNnHRye1aFNqwFT8KMRF48F3EH60mUVk7gtbpt0aOHZCM4H3OW2vuejvhPNh3wIHeAJv5j8hEbz4ajTTW55No/5Drt4pkNu7jdUtbCX6j95uKaaF8EoXNRw07T82z+0uK2vVakT6cA64enKVvBWpjeh1VUcwRx1cNpEXxYFvwzv+iRokqoQ1jqXwFaqKqg/wO/fyJ5880BdjkLRysZePiD4OpKFo159l3gqgJ5Cc8fMm4uJgK7c6tqcQ5dqBi2OKALBLRUrSh1IrQlheMfMuT6D+Td+PYmrPjhPCPDKJi99ghk6U6HcQof2wQo95fytL9BQ4oIS0jRgawNPrwLd8cD/VvHcVyN+5EAEWdyBp0g80csJuzwSoxwqsbsAtzyziGd7t7scnJsjQu/axnI6rMo6hl2Og/S+d5LXPptFVnbnJmdn7VKFOooDOTbhkqa8s1rw8HTFqRxym4XLo3JmkwNYtFwyUZJbGiUTDrdhPWgPhDxQtqLclp7xTQSoALQuAyb862GdASfktPsEfXZq1l0LruYG3kUmWq+1vLNE8sHA4DDNK4jJfqWlL0q+gEe199ZgsdIvU4s8+cnUbMIp5vNi9km4Y11au3szX3tpSk39GDR4wODDG7Fx4GftokTP1A7vOCRl7cwS5u/024NtHS5paN+KSZu6pFW74pFZ3onbHVdRksmAL3TVe65RUfe4grXsSVu+9MvsfWUQP3sRgy6ZPnVcBhjNFPxRfrA27t6CufOx9YkOH5UVPgjj6f65HRV4Ru7uFmHqE7jKwRasdcf7FMi/AYt+kqhdj2UyYjG//NdPQ6VNA+2CRi2Sd7np7dKMW6O/AvxvBAw1qj53GoFK5eQrL/GdIFXDJ0BpebbrmNhHpg8cPG4zepXi+QNr+VnZ/q7h+OfwV2P8ZmouwO9i9wzmj3JNz3B5htmWmLPyfEQ/TaxvytkiGXZOzmwiGXkDLwiM9HVpy+SJB1j3znVzWPWmWNUHuFuLhVsH4ixMf9+SoffKJY6JWGwaJc/KVndmSoNZeG57dqlDTbjj4cbhvRoGS05zDN9nauDZqf3fnIkYZ7XLN3xQe+WiPcyjPDPdXR30oI4Hbt/+yNif//pM+XlNLfTIKQJWVhoYpQYnuYP5EYoymY/DFqmg2vA4mbE4P4/6dy/lk5fD09TVZJqceKmvzBo808GgRq2tYpRwlCRFqb6L6dWj8HYterSvzbnW6RbCuh5q5vVU2G8wz+4HazH5vZvsA+LvlFzTnnssBPXiCjzD7NbRDKyNdsBbnzAfDLO5eEwOzQra53aW6dlnagC88tlgjv+waP6mJqeX8UOlNWMTj5tRXlK2RNj9covidpDah7nt5yImMxemZ7F0hOESirsjAk0cIcbZeCd15ebT15ohMkP8ntOxe9XgoibvTlldpiIvblllelDSlhLw+ksA82WtxsFKB5wCC17gvXnAPkNhgc5bxNxdvJsehFlIwqzYjqnmGrxmQia5thHJBcqfmSCvvUoYQ2YrhN/AG2DiLGsdd6an376mpnaIrimbTTz85LAOmpDcGtHdYBxoK9RH2utLHeCBoM7DrukTjuKG6kF83E6/PQ9dbNbey8N+5EzZeFJ7JjATEbf3rk/A430bTq4RME3QFSmC2OMgvAdarrT/CV93ZIxnGckaRzdYe7o42N0eeCUQLDQ1Q9ea8xp0MG6j7lV//lzYcs/L5F7bA/CIrms7OdS9DvjAUTrwoIgWp6X6hl3ybMBTgCcvgCt4AezXBrI7ClNfOb8fbOCi03YFTyDrAYcQk/cQI0ZVvP+v1ocAnxRUwCQLcGM3tnoGnkg9XAL1Mz2DNhqd+cmY2oDW3+u+G2s0bMDPPlh0ftBA9dh6OAy17t6R0px7Nz3aHYWdpGPlcQeNr72vyp4t8Ax2GiQVeb4v8P2CR7pLafrEkVe14bKAvkh4b7tq3AG3KtFOyYNa3rWhwOcQy9riuvAJ39sS1g5CnYR33wRkqVdz9/LVI+P6KMBb52NitRHfpIF/qsT2ylzfI1NCWs1sM9a8uH3iMPSawN8x0V1puP2AebaB+GQ6a2fSTWIegDePZ3awbhawtzlHns2aV0JPrzN6mH8548Q9uP6iRr1TFDyoTXacddpwu2DJoaA4lhpfgD3jppd3FdlvytJVJRbaDsvFtPvKB8+HGf0E9l9yx77yUJe0BKga9OGPRXv0QTSGtYWjnM0c/NvJ1No+hkmlRqVNHWCGkLmfu+bCC4sAXGfJHsD/fjMQPx+vMGcQRCb/Li35kQV4Vw3kLEcUZujrCevjde/mdBRyT3tlZxT0FTSBA76oqbKPsfpunG5DevyTF9uerX7KrSVUcbKDsaBqTZ/HGJu9xEhGy/5gevlZyaNlapHi9iYFcit2g//vvTTloy39W2Nt70A4NyJ0lOuuygL5I8LW5HjFDMxGPnaTDFUnNEoLa7kTh7/lXKeEK9PTPeMWjHuQ7AEUNsoFduuRrBHWDUe4sZb/9Qzi+CGt+aqK7Ub0uwdl6qc2NVl48tPqfCFa29nH1TFxMZ/IDUemzkHoKrqzOEW9cjXw6A58v19Qbu5/kvtx9HZt0H0z3qUpJa9zh9nshRbhF2i7/SYHbYGO7ariHdbOLRQM1rmtRNO3bsqk6Ul1hrirwYsV8DMrxD/Sss4Fvf1hpr/O+PXIB+6DPn7kZh+oB8dov+6oXm112roZcBWLq6UpiVCjd1Kn97Xqk0NVbG1c4h/xsZ3SHokjV3Y1LGMjbA8Pni0FcL7JuT5tzwWMa2o0pGw9SY0ftTcNNd7jVRMDNMvkljlqx4Z5Lix0wJZtMyp5zfMV1sEn07ok43w+BuQC4xcqhvN0IJ94VNd8ReyIYIyZ9nPQYvhculmTkLqamjtQXHMhuXyd6zmpC/44CL29pSSBOHFwW6dyUQhsMDZ6eMI4vtEQ7QvOdzLEb+DVSsU74ERs1Y42vS210P9A0xPdoM4WAfgw+uXI4X1jaoLl5fmllXfZoxX4GWJMArpn+ql5oxhg7tvqAHOog/h6IKDlrZ34x0lNOZVdEfhnVYKXHPGNGu4cccSAIXLnfMmi5H6ctE14d0/tM+jXKwcGPAuQDo//bfbOrIElf88hWvtrxQ65Yq1jandYhfYpLYmsI/1WczxQ8/4cpVPw58AoXTrOP02gDrlF3o6hR2G+biqGrQa1Ky13r3noK4dZlcMxcf899k5l+oWepNn91wNoUFKoEbGqxHJvJbD+brPgZI+dW8YC0DctD6l7hnirdRZ8bbCpefLc1kcq43pkrlzJTgDrv3IqIP6PjavXOtwAsFVeHfyD9YjfKPPCw8o9bvp1f1xhLQwrqEfSDPMgB4yI67s4qC55j0KIeT8UPNzBmsf2+b4SpuMiIMBU/NpG7LUHq+Xg3Y70yz44xsPfTH/TqBo8U6+qYKW+MWAMNe5MTlPacJLyiT0pI93e6UbsdCkYwlTq5Myd7sHXyqLDbT32aqUhjNfkX4rpj23umCX0yLYzeJGhmcgTdFweUVLtHXsG3ziAf0zzXpv8goGNxKs1z4mNSspgdG3f1HfnTSBPOOAjEbuVBsxrittPGyFdjZbdiu6Vv3FQI/BRYO4hbp+Kqhg0/A3m9ANbkps8qKycaxKdLYpwTiN5T/VselaZPucFxMYR3MsjHZKKThr0O7dA44rWWW58WNxmMPtR+KUpbxlrvYLhpGDwvS78T/OrEBLvrYdthE3wxAd+MeeEoUIQWYUdqV5GuQXabaObqeNAQ4iR3L9ThE4y8g6qDB2KWgvmbp2Pf30er1lk30zuM4aIk/H0KUaCMaw14K4nhzmZCk+CjnDp8pietqBn+qDoP/Dv3VA9bxx8jAVsZG5/xGmPGS4HeI88T00NxolYyp5f6+sndbq8mZBFpvmGTXv4QDqptU0aR//AZ7IOttK0xw4tO7e2KrcV2PSlvABXeunztuTu7nKE+V1N8wHc07q3Wy8V501bSjsHr5lP+LVvsxzZ8g3cMGMrobmTwNiRE14Hr3ErF9i5buBr4B1/MOpGYKqShKnbTsTBmvzsbY5yC5Q/ThYFA1Tb6rdOv0L8DXyz4BPJqzV/aSUDnXiQYXtNI/vKSlTwCJ0K4Dba+w/w46aGwYWyLiV2VzKTF8L1dxqqMxDgU5TVJre2H7j3P+tBlSlCHzTUda6T79RiwE1LSgb2+lvJUWOKVxTlz+3cxF0Onzeuxi+7ZdZFmPtDvN20o15ycz7lDDYvEaGWpmmI3XTUQ2PdTO0C4wVLctp+HIPU5HND7PbKmuHvXPztfcE68g5itMEfyD2x/9k4XH6UszyPA4dJCJzBfZeVoCcuBx/pJ4WtomJISjlJry67a9VL4CaPqGgGUuueJFIjcD4hI+IpeGzw5q/n4lnYkYLdeGqBDjC8iJKXhH3BmpWoHXGdRZUnI0LTAEFMlD5QNnw/etTTP6sQ2xDWoJ1r8CyMM1jrIXgYH7PHA1j/DZfomzh/d8Dvorjtj1TdRIQC5XzdVXHrwaNMjYvuLUKCaFNHXoN3QRaHf+c0uaootOoe+MnWj0bcYlOPnlm8l3rOaNy6POoCCl4pDfBdAUe8/DLwV1+dbpiYd6YTWbtyX4v2KeLkTl1etODriYtkA/rPnqALw9cCKgDrFLQF4vDBSmG+ygTWnnMUyhW6M/tLRscneM6K9/ivbyCs41ROySct8aOw0gswfAYe5bMW3r2Ols/KCV38fLeyMnV/ax/89uzAudTc1EUPZJx7iiGTB1WYjFsZgWen6ln0lelZu2sd8vIpp4yiroi/NqZ24cEmVhG+39vAz2Wsisqyd4xJH9YkeN3zRepuBf+50o/tSfWpB2vaEgKPRbRZD8/tKAPmZMG/teHztyg16JtO2BS+tJJU402LXgJBbTV8SqcQKTD5dmfqAAMP9ZLzXvRfl99/28k3X3ceUPacT+rarBriCflk0RZiyvmJbZ0XgXLN6ZqpP/+fHIzXnX3Tv3LJf/vpOfPueNrGezu16pF8FM7mSWN4IwM+tKH8bMfk47CGFymSquk7GD2SGcI+0vCSIW3Jnuxqh1cpxKxiTd7U0F5IjEgzvfplXz3gtATbuZeaOxoQY449eXJ93tDYX1vQ1hSBpw9zR1JVqAHofny3ao2fFKWWol2/dxUEo+SbrWgQoTQ1Q0sZvT8oTLUsTu265K990Ws1+cERDTYL9TmLrncyJF5FdVRH2PSbfbTW2Wp7PxJBuAq2zU3/5IOLMR23a+50wHvou+JdzEz/lJLfgXkOrDd59wp89lxkgf/KZ+sJKJLoK6t1dEECcq8slBcmR82xubkHUHA/B+Y0Z0ng4ZZvUs4rxBlWW3P0e2eZdz2MTVa73U/zu9dGlowBw1jolk/hhvOv1xnihnHFGk1glYCrCruwNX1KY3/OBKlJrz/wKMELSH1EXZJOKm84zFlTi9/UZiyV247VE4O2HeNuI4PcAx2rgPN+jmyGOXO2jvH5VfvoUo84kc7VBZ7ihMH3RCqAmHkwddQhTsTgISBW3bKU67pA8+337IjP5tzmp+Lql4WOJedHMdswVueaqVhw6bdiGSD+nNiUv5htFEH6yCBOsLW9tAOh+SjJcUBeIxYuKMZZ3D5JeLXleINxVR3WuwezMQKewWkIOh6TytytzkcvUIJYR4S9wuY/fCCXZkpgFvK/mjOgAx3w/8b0OSaImF5eP/C5bzCH+4rPmtN8aTQaMvhMUpOMhDf4Pt9J19Yxddax4B8KNLMw5y/g1XjPPYFQRk1PLJs5x7B71e3xgbUCbG59aFQUVOXV2H2AD74C7/rFQOYswjUfUfRbg3q0P4powUd2s2G+XNiKn63NWWZ6Y4+ph23T5Wzp4G/9sL77yPVuLeL5tR/VAY+TeuI5cNIPrOEwXXGvrGop4g74zXbTslpZmIC2eK4KvYsatt+55bF0BL/fD1Yz+bC2kuRoajsONsRJvwPPpVNxvTOx26TO9fUOvb0besA114MNvmbl91p0somUUNY8HYf8ImJ9lkwWwEQljv1ChtamgHVPT9cL08oDRr4Db1Hwkxh8eUosUrSD3qsS2Ce6fbbh8uJDT2j8OEZdVMQQx/uvDWje7rcfALzZxvTRjpQLMflMP96tvbUE1Tg/96v6LvovU1vKOmr9TcuzC/NB5/BmVcQuB/vLKcbrJnXZBTvnVzx8VuWw8F4P6veu2D/wQnKzX3mVRbuFRsSWw9da23oConSorbO9rd+Kvr2b+rjmbATYoDpSsyc5m9xYYMoZ/v6XBUw/mNp98uP2ymmvwduwguvNf3KB26Vykz2o0CwFjC3X8cG6WjTCTu7i+RhaK3dbG/7uJg09lFN0AU/yw0A3i/BsgyfwmdiaM02Z2504OMOlCeXrzLfLB3LOe5UIXa0k7K7Mwns6Lj6HaZyz6z0f0k1rWSvVCLc0B6aavw8uGfJhtx7s8EF1boGLeGKuDgUlCKxzr3jygyPctRbEq2h5zfkYGOkOfqiTlo4a7u+AbObG9JjkyPS7+qhX8KiIxCTSSxttD0WJPoBDrpwnXeEmfhO+u8CbNqztohjJVGn0oYR+skGamiheE/3VF0W5/eXB12jNtifM1Foj5YDP2BHQQCwIlZG+46HapJY3A9quMpSPYuyirOyctOxw23c1G1VaDclba6NPCvGEaelKiqKUnVeh/VdNQliLuemVCH4Tz/sVPFPPH3RKN6mpB/28VTnIUCU2S9vjGjy0BFIJSfRlKTan+YiuR4Q800e3YjIDTakaNv/WJjTn5mm5c+love7r7WSPy0KjbyXe78XQUfBxSxt6Ee/JCmtnb/KWGOIrHs1dl+HBBS7E2JmOIhsyEMOdD0b1R6PlTzM+7hBX7NRN3ooRZpM77yo9/3GUCOcsLbZchJ3TDtuBhThimvc59TG8wZoiv67WLhQB/jF1vfnzutlb2wPwzRsrQDtNztzHbcBUC1m8W0XxflehDawCMRlcLrDYq565PljqUp9uFo2TNR2+3Lz3tWDKo/HXhbOlPo5fCx47hq38UQdJyFd1TmO0kS4psIOLSuMKT8qctTwwzFFYVx+1Thzwb9r0WMmi7YvnT/CcHyqy1mrkeeEowux5yEtdmb5lJl8hH5Ku5nIDv2eEterXiGyoBezvSojT6Gn0REVkVI6sM9RVanx3VKnqIuZhwTteIP/FGymOVZKz7T6fCKizqopRHSgHzzGChxRcq8EO25DglKNvbkGs5ChRGtV1QHYsGC61VrYIgJkcVLf9Pw88MKxz4uSOBl30ntL9es2NLAPNgjWYchuPuZU/q5E5BHjV1IamLgqKOPFAP5fCBdKN50vjDot0DKfMvXJ00qydS8LlfPzYFq0507ZNHeauEzH/JrGeslK//lbEQRvw0J3zsftUIcTMMkEpMz0At0tukbDuVdhaHcWx2e/ofupA/afnLyI5XskGl+1d9szcPc0V8M/BbU1f+YrQJK+HxGX0L6ciakoUNJpnJoO+COX14MxF3aduQTsNrBOL003CXPk+WBu7dmH8LZywWFZHfQbPpoFd2QY8+aldeW1qFSnWmf6Kdhb89nnMWbR7nVf2GCWx6bHZRhu3ZeY52juzbg9myYQIO2Hlv01VSl4Aa3ItRSPQreHni6nlRk63n9buYI3MnYgeSxOZOz/vwNqya9BMse5+e9v+76zN3MMmByyShekkaVH3NLVM2nF4HotbDGsvg5hFeLjsBTP34O2PRmy/C65CPKhDHSnw5gw8LvBRafKk/Sxnya6Z0MbU42tBK16MTWwY45jLloLXYwtw5nzH5l7fIM+mtyKZuovQipN+5wo2u8cwEXzEP01k+jt63+CTT2lPYPVLjyI8Y528CdNDy8k9hr6eacxfWmlXo73Jh23fCMmPFJHDmt95aM/c7k5CqG9q4wGPm2dBgaJML9he0XbwZGoRyVf/LhjmdPDcghPZwPjBu6+LUhfNkHwyZu9S5L/GC4mhXdvRSwXt3o4j3rQBWnB0qyGOwVxRi5qSjNn/njWweGX6O9gzBr4OYC16avRQxhYXvJFMOSnpRE7mDgtwzhstYax6Zu/tV42Fq2XuMJqeNo2dbIAr3pgrfxj4i9zNIYYq1jozrcf0Xo3JxNcOM9OnOFQw3/Nn4XYe7cG7l/on5bl7DLpTLTZuQ1HSBuBveBeZfJXXuQMPzV4DsDfCUsX5A4e2C7FjzEI7bsGZt3YS1KdtJVCyI8XNThGaG0ooKVXGGC+Vg1cV+z0x92Tts5VFPK+et5w4s9y74LXp18tX/uCPbQjPs4GffyPP28/h+W7D+wsylDgq3gFf4DE1+849zg6rGvnpdgKu/2Qmf7K4XQ8uONfJ3xV24hThXDSsOxzBQ5NBn3MGPmTVr5wKc5ZwYuM8tM9tnPbJ55EnwAtd2gQJNu+dhcBaI/AURYy5uQX6pEFn9uBbyuOYwHzlPeic3fBuyTjwBZd3OiT31PRPtEEx6V+e3rNxbgCaXXxYk88a8bsE8qojO2bwc3KYa/K7JzWbZ2BHJklj+qqa/tTi+qxXjo4czaDqp6zY0jpKTkbvpOXV7WgPQpAEYs5rTy9WNpLUmmNqsUuz+mNBQ6extuZO2w8etwjYcIGf+aQrTlSkLRxeLRLwToW3Wz7MLOdoAfbpQSf6lCUFH5iTMimLEPTFVkjof6+/tbJRe6BdVvGxTeSIzS5mUASmZn/nZMj0rrcFG5I0t27AvCaPdrhXg93VFt4R4cnauRWV3W1EjC8KwZqhZFcw79o6/ENEuOfhX450ogJYuxpNIJIVKeUHcbpDHZo7GC0wMHwW0GhZkjclks+m94e8DzcUvAxZu1NTzrs05BdBVdS6s4B4f2mA6SEO5v/t94bbvxr+t37vzKQwu9oOWmreDWLya6F3G4gFlEfbvhqXAQNP4aATWTx/HieZYoSzIkh2LNoCn80WGC8LfKxfMJSYvODasmFdD6aOhd266lX3OyK8O4O3RaBT2f5p7iLBGmPEwdF2KcTsU6ebeDm/pcB7tMRpTQkw2uzQgH8ycftvn5ityXlxj73/DTwSN6PJq1SmMO1kasD++UomuaRqwTEuagRowWZcWNVFMnZR9rwjTvJTxPhm+tvg6GHu1Glcgq6M6UU54G1s39zfZ63LHpwBf/aqkvzLTW0Jq9xnh+cN/+8dys/K4T/Mmg3PXDDt3BT926g+CYGvzxDD64LpDYvNrYZbRzg39+uBx5KNRMADpmvHhANT2w9btwM+XYGxUNIA+xCULsAcr/PKZ/ZxXdgoOQ1ntxgGi4GfSwMiTc1s1id1ZWrLjDuHx9L0vHhWbvcGY/fAZWLySBgNkG4DafTOSUXiHWwEnpp8Vja+MgQew9KvOpyFDHAFerwcY/SdlZg1TuvB1ymM+Q5boB0rRHTQt2NMPniUXzj45nr8cmrL2yiUVJjiK3yNU2TqDsgzL9GVicERaFghFv+Q9a+WTqLcrpYC3vuAP1q2LeoJVcohHynrfHO/i7ClwpFawN98t+O7RUM7Ok7tHX4/LWjrHXscgEaZ/Mf/1KCJPPZ7dhkkvDA5IeVfP9+wDiTELj6YWp6CySuegCHD7ru1EuDm1k3pf2vlcJPjj54Hx/uh7pfdxBI4Bm94uXu0/PwoQhgd00c4SjJgnig/be2a+05reX95DhJ93Y/I/zn2zG0CeDcasXo628TGidQwWgMO8+GWAo96x+hWUCu06LC9w9hkclDDMUD3dPAKES3P5uN65zEy95vyCnQQxvkix8drLZteD2VlVU+Bfnv95u0HsFFfXVikJeivBbGhZr9548mh0fhQjEsA8awytSGL1feywBfg8yyYN4MoB9BY9dOaulquAp0AFg7/zujN3YYceMPkSAJ/cwb+pFPR1pER2hclpzBOmnEOOsVXGvxbco2d31rAPcg/5z14wDcaYrddSdq45h4Lokezn7ZWFxXNJ+Lq1/p6ndNR8CIcxvmzGE1vO9/0nDf1Pd+AkQ/HQBctB06wVFkBUfNS71IHuF/7JtcmgblQi/Gx1m7+bMuzqVP+rdjZYhqbWsKvvC8HOBrlKzCd7XskVr6ZY8oKN7mzveagIDlTe+bMbtqb3j0QvUZ0prHu24CHygE/Ee8WhcxeKmjjyovG2jhqzJ2Wmtqz2qk4Dv7uE432Wzp0vdHkNMw98FJ+NYX3xiYUmOqi3ETX4VJADH4DArAaKjsxIQfY0CNsvmQRe9TP903V74AP04cSj/ve0gPEpmTvmr2v26vGXSK0POTAScfTDQPzwjqBZ11JlbvoE/jC1AhzyDSslZ16HKFTO3Qa9OKK3Z1zHGVNgmQjws2dluqZrnoVFMXS1Ibg5IMNlUsn9tqP+t6vppb41gH9kcfT9gc4asIQB47D1ewNdanpcToiYmovAYt9ikjaBdA1dbxDrhWwIHvQYaGKqR9TKw+H24yP/CL17imdzbp3lr+7nGL0gAlIxiadwnsE77H9hngXmN5+ct09VcDuKfdPdFzOagJdDbqlDfAFvK3Vmv0bU+O6/1o5jDfEf0nD7ZXAGMs4wWy0weVuXxxVNszUfETfWM9vBTf1yh6PttSClKApVOZpSQZh8uFXVQK/aBzoM7FQxYIv+Ju6qK3HA3SkppMvCqfjrVhICz694uieO7c0jexXbWc7heeUYWIBS/mK47F1BvA04HHENgMfy8FPiiNT5FhCnAV2h3l8acKtVVnkA7iXMMvk1m3PsC4/jSZJHdrYqRYuICaH1sPUaHg9l9Tolvb/Hhz98wp7TsHf31LqH7h1AzJCn+nUdfVgaz4pVDjbQwG+1jCEKPkdeKErnMGpS/RowR+17HavxJI0NvbZhCXM3988wD/vgLqB8ATVjsaS4bfW1C+YvpYMcXNfbtw/t11OucVKvj84G4drMkpgZcwTXYAbqIGZVYBg3eqlciQYbx/m0fzBjCcOZEEjtPvfO9wmxJFp6/IEGINB/FmxTbQQpt7GxskEskDHlmM0d7hHseC7e2F6tg36Ujj2yIC/pZ434FddMUnQgn/PNrJvR/CeWXGj0vZPf/MwnjM58u8i1CXo3Mmcrx0sj7No/vlPTc/0iR3iFJH3nVLV1aENEa31cC9DpYnLRtw1WsaNaB9p1D14DPOj1+PB1AcfkwwX73+1WcCo3Y+i9WCdI/qbH6Oe4uMdNClfDyt7Hkvw4Db3QIMTBnNe9Wqg9mDugRdFsHvUSJq88Jm4id06OFfj9s7W1EqdxwV8YFyvf2e+kekVmFrtqlYZ14POD+48gR73pg9gEy4nOsmbOr0v8PettpQ5/bhVpse3iLajnL6c6nS7kZLflOZPGWjwhHNAg3CD3Rm4Ro7HAL/yiHoRnR08ItDgrgNXsTG1JIFxJbAQzPGkYAydCq4DWvqMRvghIWZk0RyTUW8Kyq9k/N3HW8y+QBP7AbM4kisBXpwT0NAJ9Py1lhfw5OaM7l6H29XcoZZ9CDRzfUoLg1AsohChywe0AHt7jUMyAjFeim2FS17UpoZLhEzveLuGOVFb6kM5cp9xYDwLxrhMQe/yl1823QaAMfBGBASYjFi5xXXL2gWHEH/ovw2NeVSArwNX7bKAAcu39yz0umrceQRVS2UziKe3ETgE8YmkGfOerT2s0lFvx9I8p37dDYR1p2YF7Fy5+nRwuv3x9G7nzm/fJAvGbYH/yqq4ETElDz7N4JXM7+1KUMyosNVbPVZrPkkPWPuOn9s3OXpvmOobzJcNeNRL+nzNw9sT4lVW6eFRTD75zdUBjy/hP+bqHCCxygV2shC43MqdjCd1quWtBk2pho3dCHLjhsenf8BFvPxlw9KHeAnPYOGlQXw2tXFefllF4HnAc+Vi2xHR2c20c3In4ZXjfTONsnywgB2XGQOH1cAfx7LLajcB//R1Bw84SoifBTwvePYKVlwC/OXjWFWN6Tc8JeeGh3/7bHvwWJxL2+wHY5qc29GyqZ1IEVaLim5drpMIWChrQ3znDJual16rvx7V0H0AfySgPydu82/w4phEt03jJgG25KO1E9GGekjLP7bJa5rMueW5rNgG+Zp8t6uE+e6TfFymqkSoDoEmuKk3xM15q2RT91kgaXqAyaZEXjOqmVucFFRCrLlNknYEPF0HnOWZHgzSTv7qR2UhzuCdzXzVI45sD2vUHdbQFj1JTO8ADn6gslQmiy0HTlllkATmjg+3yTkXXmdOg9O+A+6cT81ouYzn7sFJKOjZLrVRVHP+6jOyw9QvZA/eak3OaXh2W0eaePXJHb0UHBVsaNfK1DAotuBL58+CqpD24OtCYnyebfwV0cByjrVpbZwfnHmop8TmzvaU94oXDn4xwOlgbUPgWC9n3JPh+4Yh/CY+gKn79N44c0Es/QCv4lYl/6CUu6THJxxpkrtYk+f1Qsckhti+KPe8YLY1+yxMDuBBtLrVUb7JxfVVw+SCw3aF97zCeyibEWka8nsKZhl0es/GBfTOttLi/SJ7nDPKJfj7iK5fF+DBUADBpuDwgH+DaoDxnpDJQrowMdMj7Zgsz085+S9mI02Pv3E819iBuBqAKxXphml+kGx2Wc+r3HncVazzAiW3AvlFWwLrD4nPnO5GrMdK1u5nbyk7ZcrcGR5Ej9zC7FU6XUx6IlL06nl3s7FlcoO4L0R3IWYtWrfTUUtYizKowUnXCB1qNHcUoQDrLsHc3zfW1sIwxgzpGw3fPWCLkAfqhoF8gDtoBopOhIZ5A8z8PwZIuQ49iJ/7akLwO+TSOB7hYcJMPRbGFHCRMns34I+wdYzsPWGc0MHk/XGehvCs7GYfEVvgWcFRt1bOuwmeMzSVa/dOt1SDep0TiZR5vgztU2P9r440dbSpiqePfPZpjDxTR5ADC8N7kWzUZ9M/UUadhNh6oYijJuaHOup23LmVwH7a1M5NBakFOj/5aL/8V9X25jze9PtUH2mU29z0hXK60wF4zNTULqauZ6zbKT64BEm/sW576iyaluAxwJftHdvUsoOYrt+OfboWoWXqtXL4+TV1CcSf5e9OMSuxnwn11vZ8fxwedxbnpn/PpjU1svtuw0/vm1ynl4zqrHCWk4wZ8OOXi6PNkrOuSvUO/CvycZ8Av+OZ6n+LLKsVmMXU0b83VL/uf2lqqQji4NDo89r0gyfh2TJBhAhv5k7oCoGpIJO6FlZSmlrtBHxpanIeKEkghq3Y2tzzvstAbw9ptFtgLU/HsNuB92HH4WZ6W77OYdN2Nf7X26gVjyIYPBouu8qSmru7FbskzuIZH7UfwjvygEXux4/3e8NUcozPXq47C/z0jmjp02hzFyNJGEKUO8muWNUMXMXrXgZ/DCA2G2wpDe8rE/C0R1NlROT3/UreMrG8HSwEsSIZMwRrJfy9s0EYs0DvOIRjcqlX9CDhXLFVf7Lfcxj+QQRokdjdsxg9myD5+ZsbVAPzkI2pU1fB+gSv7VExp/kqMetBTwIfg2e1mWOfWTRcIK5kh5XgLPYfxOJ9zbaXFNboMSKJiPkI8UarQS98uEI85Z8yvL1qi+XS6VY5WJcadcvenQdTV4KF1p3EeD5SU6tPM2zNDqzRnA72kzlXS3Dwz6a2CtelEnJWWmP6NLVNuzuO2gU8jPFIXPLZKZB6nWXD5wFX4UpgAVRjSk6Nc7aZi2I+4fEolPE1BNg8zidggoBcskC7GMaliUyN3h1QJ1lpv7sce+Y18ddCJ8NS+jsLECqEZoJ3r/1DIYrbgq3trqDmc5g7yvjajskoqanxUd3rYd7BHOuKEvygRVg9JnfQd3ywu5C5RNfgYCprt7aUC5Nvko5IKt6VPLJ1E/+z25i/9tnurakTCe+pHYksBPzOgWfNKj/rgfhpuDG5fRWmX3dqLc6xHx4MnMre1lZezh1x0CfgRF2ECn5P6x0jNILuPGSp4oYB24BfqtbXPsDNEaO2gJee4Ek3VGzB69ufLYwZH5KEDjKmVJUtxEMCHlaC/xATP+GP27MyOeEBupMJmXrf697lCygaa4V8YIc9m7gy93DM7uJrfYGnz03mQkIG9G3upDRAOsX4fjG5FnRNBMTBVbLbGzcVsAdp7mxd1Zhc8dp6rd3tKpocamcJa/HlEljfGePfLSXmrjzhlloM4/z3b+3byQ9oNKwFUwFhEh9h1kkBOMPyBTSDglf4qEas+emW817+cIHeCnd3r7h0uIMEpcg+Du9LqruTDOUEEbXE4fsTVuNq7vcRil4sanoRPNOJaPDDUaXlKQ2Xe2MOy3ryVlMMa9HU5pBPYur8riaXvyvENEtmz58pY0/O59PeBRYEfmYjuxycHfgo+QD92uWlvDTD/Hc2KsLQBV+ihfbHNrKemHlWbic/QiQPVdxKgRJfUl6lKPmG8WEy9EC/koqN/AcjaU6gJ2XeF0s417LMYAZWbMmU2Lm1Mx8K5++Oz9xSuVBrWImtKBn4gzhe19jVPQvIGXTN9BndUNC2olSSss4TCGeV1WXUVSQrrh4WaKoc4Gs078hoX0xuOQVPDPqdmVrz6fD1pym51QXsY8saZ+PtHf15DB9rY3pCgJ9Lx9uFrOAVw8rKGery1d+1Y3Wh9pzDa6aVyzsOnhc84jeJPJ2F2geGxDWTJl+vZ8ASRV+9PNF3G+Ez8CwBVulhnm4EBYZl6nGcfL9m5ELCZD24oQPvhbdcSXPPpQ23P2r1KY5Q1wTakUEnlNV9whv161g94Fml2T8VYydhrbzuV3op7/zWRR5/bqsMYSoGAvG+u8B7io+9PrfIBx42611azWDuWw53ysgdg59nduftV5TvXXwlbIly1xemDxtfZcbd0BUhMGUpX/WIzB3tM3dmlK9qTAU+tEjCHPQfBfiE1rl1NcPVkfId1fPajKA/wKgZ+gJN5D/FNGyaiD0riGnpyDvKkCzCxM3Czt873hvw1JJa3esdLspObMlhXSEGaxodDs7mYu6L7d3kJ2PbEsYMF2v+ZJEuUj5riGE1+AdMmPrm2ncZxTNo9llO3Y9hLBGpH1oilpay4KE3N2xY/vSrNLVpkkoKu2LRfznK1BZzUwue+YNEwGiI96BXRfOxvR4HLUx+P5lkAGvrUI2aZww/qGN6AMkr011p7gM0FoxriT+k9er/dbWVlnT/3F4LJ18hTs445qkIHzAnvd867Kw3F5tkLNn2afY8Wl3ZZHjf7K3kglFCZJSE2N6tdY/2CnV2EYJ/KRHoPbZrYEAs/s44+H/iXXiH9xUBR7jNkD6VnV+yj23Q/vr8RKpx88DWwz1Oym/7nblDcilQ7qQDSY/juwOe1KerujehvW8G25yR7A9utZraxgpmyyuvkgFfiNGuTf5wCvMHvMcGWOhOwtDkLoFmg1+YwsvR3Btj5IcWN2tvz2fiaJs8b09WthaJvi6S/3vAfL5y63FvbLQ5lgjnluyYkK+9lPJ42oaVIx+NaJ/Zx22F9/zTjB74AryBtdpTNwHOBibm81BZ26FZTZ1MO8mnbmw5c4F3fD7q1JylKposTTSX4BFZy4gw/YP5/3pJjGoi4PC34AbPbuoCu08YdDiZsvjfUrjdZxoQ//cOyqRiczJQOFsCMRMCYrjhU/dRi/BZO8A6pb4r04ov2jwK3mXHMXWOJXlWmr/y2Q6pdTN1FUQb3fje2TwqV/XAecNvTpKd9ISBr+rRG+0leN/dI4uxnQaddUT+VZT/nilwclbOHxlLSMpzeC67Bv77Af3YmFq3Jn/3v39rML0tU4q5GPH5SGHcNZ6ITe7giwgLvTcyECx6s7eFQa+3oEsdxtrcg+1+7y7BZ0GNg3fgj2Vt6jyVsja0+XvuI1Jze+d1XnlJ4w7zUPot9zGmneC8O+BB70C/Qacl2AA/wMPG5CMQiPOfRdBC3P89x49JlDiqxJhEbAEmHYEzYZzenXYlezl6Xep+GQ1+5VSsNP6yJfC1HMHPMXWGdx8DN1jgiTMSy5AINcghdNno+eCtAJaImeu05bJsexS3eh6KXn6LGFHlmp6Cld1QeWtD0L7Rq1OxvO4vly2bu1YnB1NX1ezpNOy2YRasi+FxMTnOGPxr3Wt8HLYJ1ipOo3CBZ9lTdLaPAX5WrAtEoE0N26u5aywHcmMU7fEQLinYg4p9vfYq90rcOvjsU+7gpLCHDYnyR43OTuuaWqqdpxBzMpEsdFBW3ft1WiqvLTtzP/DRjtZvD7D/5KHglK2gq1PSEYjx7dQ9q6G68PjvnIik4RaD1rnKslkR7iwWhhYbbYAbf1Dcly1HCXi0HcTA9WBzc+60pBAf+UCqYrR/8omPB1un1el2kcPG5HpObSgrMiXAqvmF2H/zUMDI3HNTP09rWwX6LYt4UUTbp+pzF0jpp/7YTkyjKHe6Zx3eCiK2aeEgXj+3p4Zp+PmENSPEFYpTHnanlg6/GiPXdKkH72dvJ6/1dUoFePLJ9Lqz+ZEpltumjisQF9tuyJpuBJqDY4hFvcKcN3XGw2Vfu3qUgw1zeH4D9n07Tppiatbdbj3G0lIDcFmP+MFBRRO/amLczvDMsDbCZ+XsgFNzl2o/PpY8pT1egc9sNpC7Eu+2Ygq4e/PEpW83VuIcQ++S2l8PqZNLC34L1t7SarUHdhH0eaNm37PSqMqHv3xs3Fq3QYFGEI4ZjquVCM8nml+4w/cKGKSO4d3Hft3oecIM9GowNf39T9COJ5nOHnjZEo+qNvmwRyGf4OsdgnjGEf6sXWWbuoP/XV8PU+dA6q8l43NOmXSAteEzvbsyTN5arUPQ2KGNyCGLwTPC/FAWsjLEJaPdKEtScXcmptZeY1kLRogAU+dpcXujSH4Q0+fC9dFrX5RFeC30l8vEjItJ7cg0745xgmXkIcHIJu35RPtk07rMg2ff19zUoum6I+JPoPIDEyrAk+mXxKui5z8VS3bM2d4MO6dIXxiaX3spl4KTlUfqG0cyBH688wFNsKZhzm0xxJy+BZ4BdgA8/OdlgcIkxC4DzydLHKcBaCmwU2tyENAM37v0DbzR2tlYbQ9xkeOuYPPrudxiyB/M1teC3fYsnDkwJMfDu6uAQ6TwzhjecBHdTP+VFXTqwtntzFjikzK8H37zM94ffBwcEb0vuXh/UN0Jpr+8g/3vnq7DXerXHbqrB+NzJ8P2W/XtJeM4oraacK+e7TivqbC9PWhsO/GVWZ7PC3PnE76uh7synbJhAkDMPTTRtmSD7Tbi9gZ6sIjhhpjNIYZ/mX4Mr7ucUV6qA/DXcjy9m3PWkPXAW5ygNOw4Q18PM6caB51Nv9+K6RT+1pXxmQGfZcfp32IqTxSOtwM+7MHXLf/lsFk6rSXZ5gke6bXnkLeDLGpk+mnL4BgRSZzOx+yGMVvWYprBa5s1zDZ1gMy+pQD+uYAP6w+W1MQGCIm7snAWCjFfiGEBPjZ1trCWE3j80KuV8F59YdyKq582Vjr/rVvrTzVLJljDMNoI/Od2zW3/KUqy4bZ+FpG9SUOV5hYasmi506n7rj/e7/A3LYrSy3FEjphkQc39bGCUgjGrsuzXHXDf9DSuStB4++tSAQpmVPnUnBlbXViDLrQUnYxvaoutnbJ8xeL2qeDTNBb2cwq6LPS9Fd49FdeNqeuKLbVp7fwB35PDnJ2xPb9yAvGx/+cddWKbflLm7ksDfi8TzAKOjwRqHXPPm0daiijpwINtKmdOaJzU2Opuqky8tDw7WQhsYpE3PFyXtDf95ciJjKGtxlvPguR1djOALxDAx9+gF6DhOt271Sbl4PWY7CTyIU7POxbA3BqrOzE1AAMSHpEyrEBk3O3gOZ2G+gdzH4Fbt7qy9Y6FDxevQNThXGfs8fJ6FxVxB9bop+kLeAzVPYPxEB/bC564K4fOJuAFWtOHQZOJxMTUermA7900K3LpxN9yt3pArCmJM5i8pk8ZJztlavABm0HsGURkv2qL/Z57Vs9bVYD7Bx9Ycwvmhu3vjhGWEA+SelwiHCoOjOMfueracOnwmgTsNw7eghRWW74mqxTLGbtSpv3wbAbwNSHZEVO/zfrL7wXeVDbl+SMrO83D+YKBndn6z2NhvqFUu0eUuuAVp8pKBGW3oIluKdPkE5ek4FHimr3ZtIS/FZE8Z90Hp0lBQ2L28S8ySNZG+6/1xepVjixOny1whezJphmrlbJqo0JuWKGmox1K97eGEIH46rQcu1Vx3dSR91OPOqjob/3klI7ANXy+FaOeGrZZiwg/U3gvUqO/u7cFSxa1JhEw5w8N/jm5Zff79WtRI88P62Byh3QR8xoi7lrZGOJRsstHFBBTfzvkpt5fIfnOkSLRFLxHG6gfHJO6Lc3ZlA38Zf3lcFbD4yECdBXjdiDjFhUcPDL4J+YOF4G0xV1c/eobIz7wDyZxu+HhLW7H89JyfZcleoBOG26VFBRD6C+7dWynRcjBzs7Dp9srV+TCQ42aSD25NQNjJtci4gsw0IHDfMuQGsA3TFyYnovJBkcAfI4XF2X3CXF3Bxq1UaVawavlR92BV+OnBn1ZsPYfhXWD+K878E6v9TUpB+dUzL5ylWG3ADyGnXN0SDnKUrsLjF5xrT/Bo63VYFugtTCXbxP4D6Ssech566Qw3gT4nlv4Si0UkZLYLNYVthbQqL+eyOZOJWZiWVgILMrhc67dXkL8FVOnmS1JHc2nLOo+a5R4xLq6R3PXEsFnsYlda2D73l9qTbrcTX7zPWjoWWIiS0G/NumUAgdVy0u/FMSbauikuTObxjg7cv8zHbXVRl2RD/rAJyJMLzriEKvQSpgceSKkKCZS5VQRSQc7dfSnotUdax/mE37wQA+8J1kW8BPw+MtX+jWTqC11kvaJloB0je4qIO5NOw7rMZr3MKfBc3ZzI3Rp6lYUAn22JV8bR1O+ak4YKlrw/nWIP0jo6YKZ3h6yasf0Uo+z8bJ/NXWB8R9qTBI+JLSJdAS8AetFfUiB3doGinM6Cd4lw72pyzp4wBjsGC5jFhNTl0kfgLxotHjAUIcGMatxbuCBdVhpv8eDd5PiL5e4l1MCBJrcW2bvmYX+331JdpcTf3CNFhnhE3CPx6Z000RLIgX4aIf3e6sbK0vnHJzxwR4ccPwHGgNHR+kTtGE2d8sFcMKfd9Dw+RD+OAbmrv3ugYU9mV5e9WDvQCMD8I3wM3aQCssqrCSEWP4hy91zb5ML8IHT9hUwpkcLF/lkRD2zuiw1ud02yUyukfr4yxVZ5cd12bu7Ox30VIHXa5ykpMAzja1+jmG65iuRFcT5issA/N21YWginPAmnmcenzcH28e/tY2d7dRG6JxGYObseWmKrdxbZysN8d9eSsvAH1Lwh0hGtclFNOs/JPD9/zzT96d2zk+GOpT+9pnfUtYDkw3eB/DvTa04ycvZqa335Rj7J8y4VzB0z8D3ZmzrFW7rNf/bPxz5hEk+8IKNnc+d2031SO9XfK6RKiphX7kwcVsX4H/MWQ1oZoeUOfdjtx+M9DdGwDjgz1NLu9JGg7l/xgdp6i6Z+1ZFZf/1//rgiFfHMulqB62S+xArlAuxbybONqT668EZ35m6qqxUnQwlIqwLYY3N+dRlzJydRnYEa1/IUb41EYfPjZE5yxSCf9Nhy8QoX/c4HrWtweryw1GjaxonHI8LvFdvbMcu4zaKD5Z9aFd+4gM/V2z7XZSaHE+3oZh8Rp2tbWqP1yKZ6wg8b/nP5vBcdOQkBY8FXDcDo/5Xv66bIkhG0oceaCzNQO842zmCh88sAj1zz88j4xcqFrMnytRg30ToVYp1b5jZy28dacf0WeoiFlTPYvzaSPCLh1V2deDHe5eZ/ZRXftTuOIQei+Df4FipIL/9wkRo+lLqU4Y6oqZ5lEYHRzLJSHYFQihnu8X072EQ65WV348B8GC4vGXF1aEDPh/WRGe8+zm4/2zTx/Vv/xDiCP64FUdzD3FlLrMG8JdbjSkKeLhNqp4nzbjcC43iig/PIuQJFuQu9HyTpneH7lg1eFfMEAImPmDb/wTf8UYmc24EHtvVr73l4giUAu/cfK6fwmhD2GkzR+hATA82Nx9MT8fb1MZJQlG7yUq2IVSD54I/os09al4WvPJwmEDEqi5yULnsu6Qad+Y+EMr5657U1Us/gPmGr5VErQ0e9A7Mvqus0MS3nsdkL4rbtRW3+xENC8T9RxotD25zsnfbO/ATUtynxwjmEqz1xpashTH4P6KubblRXYn+EheTGj8OAYGxkYPQBfQGyBUMAhOb2JivP63Mdk7t2rUv4wQs9WUtqXt1NUCm7VVSQu6tADe/eivYyME5F4rd9uMUIQocUqR9aZN8LktHgU1kG8gFNg3bL+omYx0uRRNOLB/mkMbaIxq3qcUDahN4R48frHZTA583Nb8q+qdz/MI2mVB34BcfwJXNrIFpb/t34KBtbl+eeacQR8w9Ddsb7RXZ26qgrh6l21h7a1uCf+2bKIN1lS11gE8OW5kWYEdsin5i//h5Pxb+6w7xvTEzawb7AfGwgvccOZXxj1awYVg6hVgP6GlY9MHVNo/mfeaQrB7sf/rMUQr7oz+MZg4N1NAI+VF3xOjfJ6VbXvN4+mLd7ncujORG06i9yfOfO3gK8Krlyuze2q/tKJ3polb1daJ/XaNzTgYvoNb0gUX4qNlEIf6vbMRHc5Zm7ipPgkAwbZ6lVm1d+A/w8TkdSfWyeTPniCAIaQXY3vhvbsjrvhKHfx5GPwZiHxEhPrIC20003+oIX6sIv9UjBiyQVDXExSaUcr/KGLN+yXv489EPgdWtOfDP33o2cbkDHt3XLrrSEHguwlcyEHPGd1BBY5v41ThTzJB6HCwyC4qsg5NuFHDIfE2sGvhV2vk5cN80H/UO/HoQXfIuHYXzMCEi/vuqTdXKsU2vA5c2aRnwJdp7sBYz4Dp7KcEPDzbYeaGOnCci7+0L02gFnnGRwxTVnaRUJODzBHDGxYY47Verf1MR2Egoj4DRzMzxlx0uwF2vMuTfdG1xPSaGh68/Wl0C3YD1thXb2qTn14aTirrhvQQ83az9k9m+l4f2EXjDAXg1ombGIeBFEvtHiMvHJoS40U80jdQL2zAZ2rBXyK06/iYHu5cju6Zue6hHYF5jsocM0YphKdMV8lnXAL/eeaJIPo7MpjhS8zHYPQHnPdJeL9WqU1OzgsdJSLQD3+MR0b+zdZZSA/cXDw/yWM9XMtcBF2Z2K+AbU2uZcvCh3GWP1EkiiYzSDQo5nwp4ntEg2dShesudReSO3uc97xVwO1PfkiIZH563Jx3RS1N3I/N5L0b0hiHmpeetd6L6dkI+vJ+ZIQY8JeDmbHU9Bm0HefmLACoUXTun/RzKEWI67DzsUw7/HwsEnHZVDi0As9voQHTvkrF9zWsbqpBf8HMLnMB2GFVgk/MEfGsPCOomxASEjhcV+FPO1FmJaaKD6QfECPwakR4hFilUD3/uamBr9T47DJFzagMZiC6bbASOtL76YW9eHoSblLZHxZN7RX0LQ/4DzNUfATNJ1BbpijSOAEs4bVx1SEjqi2Ogb0ZnS62A3Vz0VpmePqOVDvyFRL1FY4iniMPSqGHv/Pm1jQYwYGk1DxWTEfap5F1i5j2Y++j0FNqQE5Ikd9impkmvGC+keADmtt1Upy7R+pGbM+GgdyVvn2Y+6UnYgjktASx5zl0/hb0kL7yRh3gC/vXFqKYsaFE+qruMfWnqyOSqCXHURQz6nInpg0ZTLO3LtSzaK7EQ2LjqTx1ksAFTfp6vTCSyRpeNCOf+FIRLxdGUCfK6C0CMg08F/MYBg4mwLZitBaxVzyCrUEtHOZrunPsyDeQD90msnMuGMnygEMtzK7VSwPDSwcxo7QJ/P0jmOZCL04pKT/Rk2lvei6eAb7dfpUsuWf+vxpZw05OX5NKF/KlJUFkLamxCiTV9ZZ1PeCAtwdTIbGaLCPCUwJxq7dU2wabWq6Q7h43JrXTbe+XonckX/z3LosPPDOUv2ekBePOdQ+6SIwko9RHts4UXzSOnhKeIWxDzghR8j1ml1wzTOe23Ee7lM3N9ScbQalwzI1naimoPR1jSghTYSV45xSXIzxrL7jnEgdpomceYYK3ue1cVJOwXaeaddertxACs6Waph8k7Cch5IgO8MKVgD3fA3KbOzBZjkhhNogZNE+6MXln7BZzkFXs/RL61zB3mwU04e5/7g5W5TMz/tAg6LaXJfwO7Av88nLq2OjLLnBs8hFaa2FKkVF0qU78vtgdVJFM6sDvggCLtszsbdcfH5DW7qqO2v5SDvgGH/+Ji/mZuAvao7jSAnEyBZwGWUEVonUZcpLG8gg9tIFJVgNlc9b7VMkK3kvodg8+fBtvkzU6EW/ZvvuXyMOfBr2el1s3GpkffVYxZqsjYn2VvSfsY9Z60JpcAVxEowVXMHcMVADe56WDbh5V/yfzPldEkFkKGFTe9edPbEXgK6ZKK9/M9ZdsdZemrLkXSGF9U1K6ngl1zhk1d1wq806k6/V6uvl2tyVCP/F4685ssJK66z3t1nm2sCQLuw4HLcAzxDGyxJ5DTuLisEKMx5NjphBSp4+ZVw9k2mu9Mr6MIwUiG7HGM9C0b9HfNvN7Ux7MOsCybejVAVhn1Hnia6a1mP7PGC5+bus/GwgdwWwb8Jq0D/woYYT5BPqF6OoCtvZ6VVGz6hi9sCWHmE2+Ham1dChzhGEE+6ICXv99c+VNH+IPZIbb6H/S5fSPazEX/65aaU8FxzsxZYyz5CaK/BHxObXgeYCUsXn3ZN9P3ssGWN54QeeCg9QTwK1i/mAfJCv6R761mzTl55wxNeMzsevA2TRTe1aotFQPuckvATZ/uKfi0D+5UAjfIAIPkeNA57rcfgFNfcWMnYsgR/bwKJgkR/QbwbQoc+8l7+8lHdJE/d4KkrEOgWRyQLLwnH0kMOXvBHD+PQm5YGHoS8gVwjK5yzb2uFwozu1yHD4hH/79DRP5VUVIBjgpTSmgVZC5nclbRp3PSk6khaoErAoPpLelmdxlaToN8QG8Xl4opYBRlQni2tIBfQAwB3CEriMeAAW/Elagalhe2YTTiH6a2jwwL5f32mEabe40mzs13E+ipCvbMejPfCLm0yICPqEtt4zi3fc5CLbLznENc3NcWcJ7QaFc2C7fmJ44N1msPMvBf5wC3U6hl5koGOWmUw7ZTtt6bOvaqQHf53A4pRYKy8PnfOZ/pBzxk3Mxf0BCzEzMSYciG9Eqi9i6L8Frz3YMEfyEnbHclI0Xa/WK2bya8fbqa+fOw+gPfg+/ivJcY+JVU4fZQdercUAAgtjQayJs8xk9BG4cO8tAgeHeKl1T78JkEYjI+lmLhPMKTGshdAb6m79tX/grKXl2ZM7Ui7p10TMB321XFk8Y9PrMh6Uz9YMqV28RTxNht5Yh8iaG91O6kJVKCrYndhLirKfivsD9YB+vCJwK+ZEOeMbb5uoe1K47nI5NOOVge+GRQUvRoHPSFWXil8YT3jrpXBQ6MzjJxwDeHCeN8i0vgRIDVy71LJsjbN1joR9Nho1XQGWzG4T1UpCA28vwXiyJ/YsDHRMFXNbR3wewP7oCDDElMkQROB9+zR2tmSZ8W2E+ZrngI3JhDJmXmDid55H0iqwEBdEscJeQlNbUFdtvJgi3YUq/6+aMsAKe7UpRiKhvINTxMRkqRznSysDDxGgdyhcHC1gzZGdv1qq9UtPOJJsWpSJKq/1c/lespgp+XkMfb/ZpapdPbJPDd/Zq8zohSuvof2TDf5ODBeyE7X9W5EpP1M4PcJS3gQrsZQ5u7wLMLfsOx0QFlD9i3s9ToKyv0UgM4PnX+lVnzRdAf/Gv6ZFHW3x7MWl5nRGMK2Eg5c0WiLfgIFnz1NfhnCaySgZ9AbETAtdpHFc4j2Gif9+qd5XMoBo6w0cPtAT++zz7g/lkBnoI4EXGuLLy2T+ygezqQ1x0ibI/6LsFu4JnAi5KUgL2mBb+zgQg59FfBpqQp0CWzdwsFfAWY16d9uFCxBcwIdhPN91r8sUmh4HfMX2a2D+SeB+zBe9bPrhL64zfOu0QwJgcIdmbWpcwtHJJoetYrSalFKOV6UwoPVcCMcjcJUp5EyiGEjBJipG5PndRp1wanKAHc5u8b8cfNWWYwKofPiMp66R7cLOD5m0bcFshJHvBE1qywdlqWpLf9Uzg/WD8bDVzAYPIO73OAddZqbT+qVV3Br9JjeFmAUz2kMPo43PDQhAZkzAvlcAtwA2DyF47KBnvTgI/S9fPeFHIwvVemxpXBc0SkH2Iwyur8oqyNW/eyAn7p/vSYiBlXRnPdlQWJbs7BkRWh6Zq6mhl9m9TF32qQhI/9CwPcMJcL7GFkzt9qRCRHyfcxULrW5DuPLwYDfOTRZc3d6ZGCR5s7RxaVd4JCM5M0BA5+rx2NMyo/sucs+eAZXrOUY3YH2/k6rOqVl7/wynPTU4qDzEqD9Eo5dwATonSwriLaolM+uw1K7ywmrGYX0we6gfW5mV6GFHhdY85PVhxnAi0iTG1qo6u5+znx3lPvYBshGV95uRnbHexNQRDOwW7eVJA+9w7YhSOZ0aYioYd58Pd+6jhwGcA2kP+Y1dxTu/SqNbQbCBbE7LHY3UnBJeQIP7cBVpozroBc9+vnb71oCq7eaDJmFPBgwBzmkkGcb3ewzS88YIixSU842pVWBrawNedVm5pLjwjvcerN/YkaIK6sMiQxfD8PMOl7Rc1MWrs6idQ2PZr/fS8HCz0DDzB3hl45Kgz+U5EiWZpQn80ssMbo54r2m4rFpVq1gDO0mT2SR/ODA89L40SIDu9Zb0fZ+hf4q3QE2zpZv2jw/0vu3F5c7wboeK4FcBTRO3XhH3g8ZYDrdT18WsRK/HJEpu5skgJ4Ci8flbBDJkz/CL+lw+eai5ZU4daclTOji/CjDEeT9z3ERYL65Rjgl95Xbvr4gBMAX+9t8KFu78qFOqbur4Xvj671CpgyJkUdZle1IsEHvSgz8xZiv9H6TmP1PMaAUILUPfV/rFP+5wk8ZKEujk5juxr51hdfPri6oHEynihb6ajORk+/7tInt8vlSPWNR1JLpnE9bNYTx6Wgnx74ZJtqvckj7LKujWvRlntLj6excaSZoOO0ZTmSkogklEX78q+55G1FbNWWgjjYWjx4xxXiuluxLcL9YuaH88yx3wBhGh3skTEeZ4M610bPbJjvgPUZ2DDYytaG3/1RFfxwitlSx7poBpJwu33VpUTNAD8rti3OZ2qq2YELjI1QCxYLouF2yoUKqiC5q2i6gL1oMzsI4l/c9MvZ9FuUpp/XSjwaJbl4n3nj+gVgxiIdgMtHKJJd+as/X1q2THVpH8NJNs7O4UJfgBuJakS0QfqZ8fCRWiRpwrbPHducZwe8+HtVg13m+fZGoubKenmQLiK5Jl8Q/xjkgDPhfKZuUgEGes2i3cjO92tHQW7HX3lEAnO/n/6c+0L8d9RaO6Grou1ZxhCrRmntncWhfbIoBNzfzLGOkluKpM3txNT5tfBON2xmdpq5NUYnE2LYa79qU5vmaD+nbXiK5U5E1qNxgUMWybUx9U2w3lzYBxLgtin0uez/PKvz9qNcTa+8pCmsB/CHs7QuHod1EQi1+coeRp8Ud5jm8a9OuyiZfDTB32upJ3NHy+qgTeqQnMvz9ihdXZ4Yp5mzpEQsqbL9Y2ZNU6b1+Rhw+EtHwA1kirSo7GluOEZG0wlQ113xndF3qrj1ePW1lYqbmu6kwOc/HgkSkjIbEQd4xwj53cXP3P25qxkgfuRVj0yt3CYP/loZfExGpvdoKjIbeCFTb5IRH3yZs54sNLI7U7PMrNuLmwOXJ1XVqzgfbIswgqWbfEH+3QD2u3LRjpDPL7TfPnkRLvC3LfveqfI/djpi8IWLw1ZOmk7rn3rk2BdlR74PdrMyZ+MKtgCPnV98WZACu2noOWW3A57FcVaosAacSRzADj1/5ivsu9F1iVEPHCktAScCLqT/9lTZNJqALC1RLrxIGh0y0SL5jxM9AHsy9Zxf3OEJ+ATLcELKlhlxFlqJVnBGKIF8lHHAfIU/S8vzwdY3XHhfpPN3OeSzDHAiYBNOrGkB7jGnZiZioTExkBQ4LKxVnhdkz5zHq6adAEojucVT+B4QUsEXER8yV10J1/rU9xaJNhbE1LXqt19V6F0h1k0NfGfi4o4xz+fWdGFdY4k+KagIHYzMnER7zhw0EUsS8Bv88mXY26gGxlpbsIDRbcO03DchfI7x+34FHAoJmHbhUkftIefIq4bPq7LQd0Z1R5iXVGNzh9jyVo3gN1pe2aAAm/oLcGcNOeKnHv91bqPENKaOGoEfpKmtW0Z9BH5zrICrAdq8GV2zYzh/i759mnntAuKE0fWvWHIweptcqAPwsAXwh5UOqMS9t/BOXoGjzqq4OMB7X1pVNnNCu+5apw7nd8bm0GjJVC6+cheHOeUhCbfHPGh5ZqG3PXz3zP1r1bby68joa00r1TppOKGN4JkMs2emfaPX/AZY5J0jiWtAtK/zXixIKSJvJv3PbNKrEva3FHLHzlty0sprxPQhdZtkrn+n+bZQbOG57jcM+U7FkG6Mdgz9mYtlk5CXFeXHdNhtzCw1GS5hWjTOKx6eKClpELpg+9Mpv13LFTnAuZMT5zeJSk+et5sj8nUtlAu++W9ebETcdPVhPfxOvv9ZD+vnmnaqVx0DXsWuxwL8K2jfqmAH+LP51f1Wocqo6UGC9T4G+usUQcyx5DNFapPm239zzxDS4D9jbrVm9nqRrXKQXbZpuDycIg3cg7lMt5KEk8Uje9dEqs0KUjY9soHLHX9tHvI4jyAmrJlzeN6cJv9jHUXoyf5iq94Degm5OJBHafAD0/6PHt2qxtzmZi5icYwJJiG5wHt2Kvw0czePP3Nlzn82J4i6eH3pz9/cg5tt8Pr3frDSe8n9MA8l2IvHYC9CHCZ36ajiJC5W03s8j5Aw8xLJaOoh2uIUt4e97T9YnJwBmUfE0R858t0UeCrgigMe+bX5vw4M5PNtKwoCuVYBX9t5J8hJtJ/Gpoe95G2SiuQpOF/l2k4ZTy55DzhfX+64wEbXl2GKphTyKuP4jbj6jiPA0Tp04CdudABer3/nBbRCzE/elbZckzdzXlA7j2tJSbB3J5+Z+yAzg1L7PmCOSFnbohQaAee7Qw4pAX8HgNU+qCsvBCW4ZPyQxqlTAV7FTntMbWKlzuUVowR+bsejIL3smLV/3p7wXnM5/NnUo3/BTuOcxDydhmaRgf9mekhEkHCjSQ529tMT2YQLa34wePIB7wR711s8nIsq5IC9tvwY4VeNNPCY0IL8mUJe9vZr69Figs9n9yOV/LAyr6T9nQNG4Rx4e9w8hOAFF2ST9bur4khkxXTIIAbnDO9O3Df+FqcjSSqRuhLwP/Ca3xozZj021UreSkv7lf7pTQ9qB4fA50IS9HdptMR6vWHAeczs4Uz8geihHxDDh6xDk7L57RShRcW4L3l4JRZgPjE7Ta+r2po3UpPXWUp2gveVZv1HWG5LuqJfYsl6L7cgBvU6LtnyBfGZcuBobPA6M7eQ2xfId6auCe/ytbUo8LWGmTt6uReDTFMzD1cn5THfZpAbf8/0Dnb2JBHfN31SAVa1swK5Qpj6WZvlYgu52Vpygb4E0xWO5L0scK5+7r/RW+7I68Fi16qfw5rjj1MI3EtLDph/JoO3AAcWgEVesdeDfAAYd16l0err8SWjwAY7/wKYsIUYRyGX6HoNLVWkruDN08yvzHoZYGs6Y7e8ml41DDk6ZcsG1uBZumZeLGTP0fQieI8js188pUhXAv6i7crZLXtbeanmBRnb4YT8w5HLEPAdbyJ9rtwL+Bn8booFxHt4b3k9cp8Bo3wwFwiCA37Xb83sGprbkP1QElcDem/cF+6ddR55u1O8M7a7kLBx8LDVqduDj7Ukt/EH5p92ikoz4zMkTotqyp4n4dkCtSUOPz3lkoixLUljDthyCVTE7Z845eC90d5Wz+2rl/MAWLjIHe8gQ+YZKwVsagumrlW4eQqwBTbqXepmtgQeXa0t7FcS4Of8XhZ/Lcr+uNKVkKtbKxdyDxjT9JlUjYP2QJfj1OVXrPmrj4OYOmYzs5QyzE6Fmbi0uHm3s6QFdm+l60mUD6kVkxZbKythwGNXY3d5n7RgB23jkpvpJ2xGfM7c5pGHl3spzCwszz2JqZL5/MqVX1mv9pllrykiXdm3G+AYFeG4P4XLHTsTz52Fc3hyqfu1DiCm2G10Mr/bVR800knde2/lc7ZLW21ogG/AoJbKlR+kkE/8Djlr2O5+7TAq18rpjVZ8h5HiBKGUBSg9RdLnFAP3Lr3G+nzWa3Ih7rQoq3wCvt7IkLfZmAQNxO7sOV+BPxj9SpH3kMNgfwXz9qTQF8BxL9ugwBF9YrQhuP4Am3/LHD3mPceQq6raxgFmm4WDzwJLZcB9gJFcVqM1kmvTf8BvRregtNpF8mRTDRC0KAHeQj5UhPnBWiRwlV/cm1nbY+2ijmk1NnwKMqGvgEf73G7DvTWnJU9uZb/byFhX0rKXZuRUofaRUyTrWA2Qz+Qp5sDNlgmPqqe93JDC1Oqrn/6wnONf3Z6m33kV392JZRcNmuiJye/cVlQFP/3WXxAjKLcSwAQTykddGAwBsa8qeW+lttxURZKnQ/tMBQfepoI8xO8Qy6yDs9lUsKckal/P+mgCFKecPRtBboBzAc/xAL4TrVz0pI4916aGgErRcAT8hwSpxm+nKHWOBbkAT4nTtW1luO3SmDiczWkTN5aysZk5l0De3XDevOZW3JVWzvF9yw1uMzW1R8YX+Pc9g5hKOEIqWoYm4BUGLC+H8lq/34D1+KiimekPc+nwWGuG7xBjPoxGudHyrwfSQawZxfsN4lH64pUS+N+jEszoytxZyFEKv6tCPDW9BcARezygkMTkaQoCs+7vJhc2eNL2cTJ3jO/bHnLGPUXNpgL7PP3ofX1eD8+tz97/WJDLW/l/fHjPbBWc2Jalw2wpiO9mtvdJhGsdaXSi8qeu5yggjnXy2/R7noC/VqsErqTsPCY5CZcIfPKKXb2c+mkvBAlU4VvmPESxZIF9fHG9To0XqwRPPFLdyzF90kBGp9joVPqAoiGpd6mrgnQDGPirtNQhHdVwRDKQ7M+DRuodu5N3DMx9mHqqUQLebq9V17jHot0ou19La3nVRx1KMXG5frrlmngyRIiI7VJp/Z6bmth+4bRQLXCljRQY4jju0wh5TUQuLNqKbFCSW/w9pbhoghDwOc5EjGOj98OtGTgBe1Dmvc5ShtrCkF+NRiM60BFdUmBvgDvvAKWtjHJcnecEntuxjrOmtyF/6U298o8UsF/Np0PDmwf8DsC7fzy2IgL48lIP3n+ahFJk7v9re4DbvZnZsswmHsT7QLlKgm3m2MbrCSkGlK8tbV2QAvKYi0seT4QiP6HW1gZ/NfXvPnBN2lhJlDILMszkp/0kaOSF5lzN9A6+6gFS23cbW8Z0Td2y18VpnAjEjRx8sKqBV+W2mTMFeFVf7Ergb2LvnjL223TF3ydGbnhVAp6PYH++lX0x9z7fsvvrAUSVUk/AZfhv763USc5i+abs0DPapSfAXBAfpKBG44hIbrdO7qqDiiDm5PPhJEz/SdKCT73zKLnzftLwWZEK28zx2cM6lFgsc+ls4J1ayB3shUWvMuB32ntnARaJAfP80yf3LeBcm/2qAS+lD1OHVxX+rkG6y8N53Tv6+4hwQJneQ6wtcWz0ZI0mB/dVuMRY2Gds4mQPeEv85uWAWdN7PqKSOTePU5LlEOf3lizSCL8Tt10BS1sSGe23VkJud0xNDoTd2PQqAb+096vJ5mhIBeSkFa+Z1oXRQudBkhBLgZ//3qfEZvYpo8keR/OT8Z2Z94eozu5i2A6nkIyYJ5aK/XdmGX0iCavfJtzCwI8Bj+jME4B/s0KLxtZZbXk3ipjDzYB6sbmXq3+Wo/+6/zI6TKnq+XdOtQ2/iJ7EcgaM9AF5PfmnOQJ4JPJIOljP1Aaq4pIjE4ubhkqSYZ75MHlNVz5VTOBnG8fMThEQpc1sUvhO74S1/79rizLP2Eva/bUgV0rA2CljxKoCFOGinWvgozX9fAKWtk1fILenFvfa5OSLiraz0QYhPWCm4WbO5DrGW5MfgLUR6xQ0T4HIq35jj4F35ed5VM85PcaS0k7f4J/7+ufO3tSX+zkO59n0oOeD3ihLzSXER053G2pxwIbkCnHmC2y0rHuMwScsyZKxGRZaDtsr8Jn+N/YyGQLesY68NfUOGcR1Hz4TVYCNpavemWgn4IYd79GVM33MmFrgn0aHbnOkqOOwJ6dOVSczUzbGWq47V8RI712IA04D35r/3nGAP9i16YXRqqiZF53CbD1S//vgeHdpkWsTJXvgEz746Ca1kyvryVhxHlLgbClXN8LQBDjvYn6edFwzM4cV1tb0j6V263Eb/X82d7ixqwKLit0etaMmMep9bs7RA54o0/nj8MORTcCZgScW/jcVesIIXUvgUjn3JR4zjwXcTwN8qMLpXp//PDDgf9Yro69rKedXI6jNxLyTIeSSFfdEy7E0Pdc9F8A1pjz2CeDPPOvtL8Y0aSLsN8/tu0SXJeWciaGNaWfmr/zcJUb5mnwB2pmPVJWQQ1d4LQ84xksLzmJCRxXHghZ4rhnBZPVH2idHCd83s2YikckZ2V0OmZf2njy93zywU8AYOqZRO8L+BrWZix1DDLWWXdlL32iGpkGLeJ/sIRe/+jh2x4gcJTwvp2Su+HQz/Ysn+E6U6gliksGwd4hZ08Eyc7TIgxvNoL4tldWa/r0H2Bam498r5MnzkW03VHNypP0TfAN2Dzi0c3vdSZlz+FQIm51iHwEMF3hYIsgfKxOfXjX6G+AjXzWbvnAgz6fI1qceAachJXH0RFacNgGeyXi5HwBBUE34abxc94A5j0H2bFy5svW3Fuuaj34lHbnyXi6sSG40JjtqtWLvTDdqzlSMdhUv79htn7BuPX9uL7jgKUGAQ7gCXjsd0w65gHfcPJYOC+2PbGyscjX1zd53OvzOKa4oT44Qj9LDqhf4LM8E7lU4o6pHH9WgUGrObEOvg3XtTv3yBfnNO7HdXYyAnxxPi7Gx4fdKU/dc9Z/3fFgujWOXLDCTLRO3dF/6NjfgtPp9b2lTi3VjVuaKAIU/swZinJZdYmbEQXyzSeriHfhdlPbyClwly3ozc/jx3Nu8qoN2Y3jfYe3deuAPiLFW6fJdZiU7wG+/3yvV6E12/r4GBgA2+F/dFwol4IUf3BQrSOX+lyoy+8gkhIxEy4GtIv6ZQdPund45jX4vz1u/ttpL6hBXDPNSv2/3mfCmqiOv/ZoyG1mAy56ZkFEjlgzT9qta+zvVGB8LHgDPhNgXrpXb3tMoeZbm3L1IoszOHntbnvMVSLOzXCpneuchsdkIvheqw95qI7AZC3jnC8+/g1/vm96rACPbaoQcp7kA2+V05F+5M1VEAOq1vLEudFytSXsqjA4As82dROaqkTqZLXpyaAayk+jT4dQvK5GEeYFoo6cz2N6LwyYin7OTYE8+6EPtEJk7irJ8Bjvyy1IjFzhbQHn6xMi3D+5locLoJHpfEO8AZXCHit4GXjmIApeUt6Z28au0OcmD9k7E0mUFfmlVPWHvwR50JkZpU1NXovEtPW/flNO+HZz5W0RSC4Ftbi2FWtkDfBsyogyPIf4Af/o2cZsicjkFWItwKQ5O8gYc1dTk9xI4gYx493sGy1CoIusuRwW4yfvG/bJh7PNB+60NNg/vvzFq308hwicfQ4+5uwWe9qw1cMl8NjXKwcEib0YL1Mx8NNq8vCc9HW4P5YD9rq85j3N2WFPvYKdreQZeAPnrGGfXiicl5LADKVBKnO0C9gHxmr/BOj8lk1+NuNhNaG2wbhaOdH6i+JJpiH+Ot0gXRSrkj4PpD7Plrl7Dlx1+cRdZPOZf5ejHtZl3K7TbONNbHuAPQIQ/Oux1aFt1DJ8rjCb6n8cx2rZ51AL+QcAMSShX/4MLfi/70GlsVQAv3UitaWVjM0fvpWNWVNbW4xBYjA5mZtl75vSwJ0juHetJu4RXfTtlffJOenTjGvAxxGaIO/efmh7eavhNF8MnKlhHZfvwDElKnXRCy1sNkZVb8nVPBLy3XFhIhprZgWKAO6LwQdxJUtEAp2Iu7MtVDp6dDvKskHRMDUMVqh3YnS2LcuGuz2tg6xnQDLz6eV2U1yqcNz/akpzcqnF69fkCf94BxjOzOvVUcfIG+f4gxgT96G/3C1GofECeT5owOWacJxQl1RHxlenSxQx8Rmg/474PWIjkz22nVuxyW+OmUAes+Yd5zxc3T4veKiEe7p/bb7wmu9PQotL07bDtR2kn8Ot3Lu18kVF0y4G7/1dP79QuX7HdP7NBQ07TS23119O4s2i4/WhiLBvUzmCHkXR+dcycOgpXztrCjAvCDPCr+9dqgCNVYjtVzLqngT4ADohYzz8I0iEbTe0WKVLmdU2RLKbGLBvafaaVOXc4p/zTpnG/UWO2nCLZkw69zqMiiEcU/OGtFvhZA2+DWDsRJt854DtzhkkAg+X6Rw90cwz8WK6oS2lbpo7sTR0z7K8NWJQSDrhbI4NfBknxA3eAnUcOe/SrtTgJjt9rp32AHb2zcKE198185Aux8Fdj6qSdxVdrtuZdu5c2/zry3vT6SOZsryTS76fg834U4PNUWtmAacWlVRd8ahivjmI6sF7/zq049QnYa+PgPpmrArnEaRzw4Sm3k0SwREpGJllMQFLCK4vQsRmSvmToG2L2zOL0elhLJ+31Lu0+LRJywRwJISYxcRnW3RsAv/zWbwACfMvzrcG4d/j5O7MWv+rL5SRIlBaJrTp8zyzOc5RQwHLgPzwiiHlVPr8RvjNaCnlqMeC/Os9cvWdDcj+FoZ0GvulZBK75+TrvJbLftjxEDzDnjhQ6IoDdmbhYJi+bQ9vqfTuUK7DKcOepuA1ErMAk9f4Y6g9pzREP50N1vq3lQDaneJoBv96wTaKGSuB0aCABf907/OsltLAH32fDemR6RRFxLIux1CVrS6g1x5xNGvj8ATvq1jBpZv7lKmAOoXzXCHKs0RRVQqfSYPrzzTtYGCv+6WILYtsvN79dKaCqw8rHqg+fldtvcIwT1uG97MJrJnRSxa1QYmezlVwOzz8bSdsH4AvHzIyHPPPAFNZTIJt3aJdaEH/j1vTOzcpF2OQmbMlf/0pDCXsWAj/21xOs8MnofA6be+54wEm2H/WgfdybuTVbp+o5fGLujiHEvi698vhyFUMGzLV3jxTrI/20TyMwxbj18tjU75SbY7j5vUPM4/J6oojmdts31hYwmm7LFexXp/BnKfCStiSDHRxjZpWOB7wRBacgux4LPdTjxT71HJs4X3U7m5gZv2iaaIj26rlNqnDpTqF67dcXcIa5EUjLfzrrE+ThAXhmb/QES50+D6vfKaqG2tEHaSVUjeEKuOtYstJoaldctD1+ny058BywDWbRlAGmGoCxZxj8wWg2vM6WscPuxyB8UGdCp1iZWumdiPr1JICIOAvk2OlRhVvwTR2ngM0g/2ElpiMJdIxjH5eaRKcYbMj50SpihKLjz6weOynNXIvUevVWzFfg/ZvM1hUePiEXTIXg5A5424Pc1XNL37iJpyv/Jix9sPDi5m6SpdZ0l0AvgAelRk+ghNhbWraZeQNPJn1efJo7xInB+zS9/epdAgzYb/aO3vEBQY7m+4ZtTR9AIvi0YP3XbRB+J1SOzYpcrtvoxPRitAjgvbqKa1gD7ps6TBwlbcaApPA2kc5iVXRn459z0+nFU2LgT3MTTV/pYLmy4+ZM08uYuQcP7byYdnhUqbRudtYlMo+Wu6nvUUWzgZzz3TDsYYGNfseTs/lcjuWzcvBDARcU+vNOIsgJMXmdEdHGJo/KnP8jf4DI5uI1XfMIbINiyCGyPKwJYEpip7q/82BnYaR64FEfJMBu3s9nCrsv+8s9F2QAfvaVjqF90n56DNsj/dHn+q2rNLVUK7bw26n7vDPEnNQuN6mrdW7pp7nOzW1JKyF/dEZM73sVqYo4qBTMgn3GV9y3a1nIr9qdIM8pD9vTPtUyEgXqOP3p/XjVfksptnktVHKkyVn96MossYxLu0aNlw/lgw7zpmFTAnzmXoX4SC01Aj8NmnB5h5zJyp5tWITL4/s2VNYSAPZaIVfeq4GXYJPmfuF179DnUbY2687MFjW9/ld4b/h/CHB0aVXRAvywf3AHxcRtH2zQqyrQlfPPp4z5RSLfYTG5AJZpibD3jVC3nLVZXvCd6ndL1qE978iLm7e89y6NNY8QOyaBwEEE8OHndncUc5h1vscdZecO6imfilRPGxVOFHhpcIrJs+zVv3ptJBeFknMVGq04oymZPun7NlIuhxj1+yySF8SHvEjAb2jTa5EBboUYMRKOJNjyB/CRhVqT5s5yazgRkiJRG40uPV1YL1PuGowG6zkCxgZkWtslYDr2rCAKV0iuwONe/qV5v1QktBNlmTphBXhonuhgrZhLxmFta6rbY4TshuInjXGeDkt7DLkjRvxUXK2VswiF2kFEXkEDDZyDIIH+Po0+tginhffbF95YTH8IQ38hTrUb1sm8ibTD2GYBnneU8fRoqCLmDqYebGBAgOkhxsDzp8xZOgwckAWf7h74pwTbBX5HiFCr4XSsI1/KSmQT/vaNtgSSZcm4n+rWM9n9yJbbfsVxitBHxgFbB/xCWBKY/jxY15GuLaNmnyhnsO4LHrll+v0E44s6bzfgkzHn5u5bBym6rAfrd57UkLu8ZXF7S1dt5oXkKdVDbmYKOLhUhR/WoQSO2jzzDoecq+gUARfXlwVy8Qz+9ig5v/1oaDDsNtbyRo3Wv6svuYM3J4SLNPjVJaaimHwcbn3pNhvA9SvvsQdAY02H2cvDm1M58HNiiTIqjxVLiIrsgoZyICi7wpofcuF9Azd36dhCzsVH0sH7iQWRGE2N0cbj8lUD8yXZcs7g9wFHN33FDzM7gdiTX0X6giMdAE+ohJgptXDEe/7G3L+edNA36fgeYvWFRa3OQ1Kwos0AF1vAqW9c2PNP/qP6re5f54fzB3MSiNFeSxk5lJBQJGoZ4EgJsYkfozYSvecDHjBaEf4xWjrga+8l27lSq5RH3nvFdFF2yNTPASdswf/5JV+xmaWHa5svOWCd/zDAAzvzP01Wy3ZxOB3p2FiZmcfIUXFkRiMG39PYh7Wdg1zoL3P2RsTtaeRfOOQQHCQJcNhF8rYjXeKlPPXM+VfK5FNpWYqBv+LhLTPnFsO0iMhactffQL6RRuORj4qkATqT8zZubAxxNqGwdsCRjBY2+ELvVRC7DqmZv2Qru2blhoGf5GaGnZO5lZhKiEkrrM8Lb+z3tvw4xrLFzg5iZrhkzuPf7Pd869SD92HqWeo1sVKWnMEOx3KcspNIHGbNi4IVxUXjAVa5AcZwAB+dabdzaqQ/IC/ZmQjvZTG97gJ2Tdx+KcfUWT+8kutDHu8AIxrdIWx0ZMPTsHiYoQv87OUEnB1wYH9Y0T2n7ZB1+J8e24j8/87KOMQUt+qn7Od+oCDHJk5edlg1561t9IoPz7mrkf+Rv/+5mjjSwN8p+7yrYjJz388q4pAb5YZQ4lccfWVUUzoC73O5lM8/j9LaZsrZihOVZuaUEOjzyt2khE19+TJuOhlxJh+UgY2x2aKodE5sgiyrPGr7WWn7Cx40YDfCDmv7ngLOPXJS5G7LTmJKgIvdmiF1jG5PakH8YQlrOBaw15Z0e+C/4a82yylqj+n79sv0MMgO/+v9W6WnisTJ+afpVXWoTZa907rHyH6XvHSOyF+B8wJ/eFxzS11FCIbSowvk4kMl5i8e4QcrdAXPZIDTXmdfXzXwDr7yzUmEHg0yu17xU/btF8TRQ1OEZi59z6PszpjaNZa6ND3+gni4UtNvHrSH2uig2uQjE0sIz7jmXJ8bZwHMNSFlybJ0X/0OEHuBq1IH4ilbriVN+qpngAO5mYc613oKeFd6paO+83Cbp4jssXPbGK17Ze3uirVXItCeaOCSEVprsVlZmOzJit5p0fbiPO8EIq/aHheYTZgO27Axs41C8oGjnX2MADN3PD/mf+6E+5BPLiuNbh7k/LUU0iFs29csabllbYD7RoBJ9rmTTMBR2xzpHQ3Um7InXQ4b+zQ8fu/oSdR+CZoArpC56rOFmjrXoi3AxrN69MsaJaUQyRXyYkFs/UwBdZU5cJ3YnMNZq8H/2Gi6xMpofz7Yc77UYbsw1tJUoPeDg1/1UT7EmRxw9yYdjHKXf8hW4FY2GQ/u54YGfpgjn3FaLnmnEsZsVjvTIEPyhLiOGWNgT6lHwhBwuG+l8I1N/R1gqTu3VZkX+o1q+erLfiOonWAdwW7ad/CrR+0SQrSelWht5pI3eO/9UWCUD/aFD/NSWcvB5HWlIUcKEjSOfkD82xwcrcFuUtjXN1r0D/ieawMx1OCe1/mGjLKFr8DhY3lOOx1m1D9STkaMsLnn36UU9YDZ2UkD9onam4oeTl0gW4rpvre2Z8DxUkTbL4XwpbaTIo99v3GVTzV7Ng5/UNq+cBTgGu8b1kNmDJYE4DBfk+XItjk3M5Uo4k3sZziULNOfj7zwnynkYhonH6dC4pNOgS9pU4u+qqC3BGAX2Nsvaunc1AdjKuHz6HVW+Z/u5vbZiO3y08MdGp1N0pZje84L/Mg1QsysVTE5MtDfaYxugPtS4CgTxP+f2QS8CO8CNU+wgi/FbMK0jBvgPbBA3yUnLzyPK9a+QYzbZTq5q/f5AFgt4AFAd8Ye8N9J2pVOOaIU8NADsM0l6/UketNT+VgaZ0ZpSKSpHar43ztgCeD5OpIuQvWKcFMk3yT4jYfXKk7XciT/+nJ5csdBS3Fv9PuWsrL9Qfb6TWg05WaWBmVPzH3TW1ASsNPSnnZVoCFeoFIx4N6rP6o1u+LVnwCb2Hhtd9JGrxgVskIdT5p7VYQh0t0eudjC3gHAZdwx+r2qkCO1Q7CFP1aO2pZylGc0A6zWr8Sxf+YE0tjvxc85WHJMB2QZ7d10bL84Cx8nnb2+181wOxGofQq8Cxf8RpHPjQhVY01HweSlpNJXA8f7522TMwX8dgvYJbymYRsrG7/jUAnwd1MbZjQJvzHVsEdqzoEDA64baPd/fQDW2zcchBZzpoqu5N3o6oFtprz/s6m4GkiUuntHAVrZGuVY4OrzBvDbI9X4mBodXfaw8HPWIp/vecjuyk6+asBB5qwW1v3A6e9dAMlH7jOGVjJyyBvN1ejxwftcjCZJzbaUQLwsXTn+NwfLxI7s1OFj2XNOdDIfA4i9FsR2rS9VATzHRUbv38GxtI6F7gBzv+pSxsqxzbnoXgr7qzrP/7SChLeUBdnXon0Czp9y4CGsICHrt3fSy7d8AP9FvMAWT6QbunhIEsYvT+Ahx6xnLi38Ox79lKN+A7zpFQ/DagTbCz8tppM469S1tnVZ0fJaR8BFbcVN3RmLgSNotnA0fQCXJymSHjwpwVEI/CcFPORVKk5MX3eQ9p7ghbao6/cpm360Nl/fi/ZtznmSA1851wWZgddFABYKJvSVC8XoOCWCAUcBu66KlgM/wzi6WEpMQWZZlopNvy9wC9o6Mmy8Op8R8MsLcYHTdPKNFcmrJvDr9L79rnU7SPjCMkDf9WjqXi6w1hCrrSSXa7hQpFlt+2v9/meB5/Y44B7W7Qeh2Dk48zFzIU+/A2cQJdhG45L44mYjGSoztyH+na+XpQwjwTydFcoS8JnUejhHhmfgcDuwAfuYb2/K0sAF8LJ3Szdde2tvcX00NTFmZoWD/TS0gWUnHS3UoEJSphQPgIcLCc8uRfKqqbClnbwra/vNY/+NMHvcP2dY/8lOLeBjTPdSJCmLlhiw9geJ9ZMK/gH4wsyPTvCwFVXBOxa2M3OUW1pk10SezPh0gbhzrk3vjp28csqGWdubfN/uOLM2x+LTOXJtsVgCvg9NN5wHuUtCTvqqB8CDLPMyPRXMnCUC7jwNaqls9sh6dTzy6YzX3aNmFsQNbP+bM92Af/u/NZyAyd9kvy2a3sxn98Ja+x4ZPh9shBxk8Rvpd8aP1zRogXtIM2OBgv0As9OiNlgjxle58lwM9lP1G4+h3YOt4QNiK5P99MzWX67XNmx65jZvIRe2p4EnTcCxmcFIIzsCLL0CDtjRtXzAWlS5i3YywjbkHJcNMwMDhvw5TyfUEhFg4FVzzAPsN125UfbfVQkzE3nzW2dO4oQ0DoF8kz7ZsIQlAyrVZ4bz9Kll+ngB+2jtcCEltSdL9IDh0eSfkL5BbLmmT6MxhobU2i1pOGmZz/NJeDiPPJsAL2cue+mzbY4BWOzP/K7+ftJTmdo4p0XSQda55OEMv9NoLRoOJvfZqAWxkzE158idCmtTL3y+bRRkBKM1vHcgN4zyju12IVzd0mj6ojZ+nTn0kH8S3MHihtOVQiwHHzXzTS+nCLhOxIEHoOHgyIOISCY7f2WR3ACmCgj4A3H1RzMoyN9JC9gVOIt2ACNAHoL1dn56HbqGy5deJcSw+QJ/9kYhyqr102hCvjX9zdQBTSVwN079r2o190tyUEGi6/Gvk4rlGw/ZXQR+l9r6AlkgN3rTyk2qbNgeJAo33PRJuczFzH5hAJcCV294a5k7YcZ3C/BQwNF4EF17oGK5wO+L6k77RstfmTMfo2Tqcg5Yf8V68koNKL7gQ/2jzcHNmZQwV3JMk+Vf3pavvgCROX8AZ7b3PJAfjSNdKrYZjmyL9PM37ueCR2RStkbSkgHkb4LHv8+KzQW2Vdr04VW6Kj9APDh16Cy4/6ODRAetuQ0YjpcuY94Lzx9pkMwUtUjGF6eyiQCsxXHRLo3LIxHO5k7eapzLNf+ZjbcVwKNX4Btrep6HOmghloZOjqQD8X2Sgl8rgVDO0BuJFrAYnfB8ftViFTkjiBTJLMMtqlwNfJi5iiI7HbVba/BL6wG2ir9PRZtT2ALVyQ8W7bwm2i4VxP6Mt9Xe6a1G43cyAHUW24sQgKtcleTAITBq/9PvvVlZgfe5uSXmgIE4uQLXtktXnUloAx/ogV+3/cFWR6CTjBmdEe2TI3BlZiVFg3QlwsmrnMmnwF1TlzwkIj0DjFI75B3yveFEr/N5zAGH41W1hLdP1rdhBgBNjGjfGP2M0B550a+sn6IUUAIDjpoNdlSFD1i3BmInSXGnc27rKxkuVz5qWyJ2BVt+J+Fyw10LPPi3BmZPz3/uB1f22YCik+DPpvfabOWLGmarMhpEQsewVrdUzF4T7ox+Y3ASbSCEfecIbUrKy4bdIGemkMX8DfDaDQtth8a90Si4Cd2/zvSeKpT3BrjHCfIXoKQI/PS7/tF5/5nBYHCKvbc8r2YK7Es9ml4nYI9JyrlttKuZSGCTZCp6M+OGb2qjs+v+dapV3csiBR42vXIKUz3xmbWzmlCTKlp2wP0fEOOsEzIzqNuDGHpHWR5JBYl4T8C5/SPuEXBhIiFeoSrqHYOpU67dEnAvs6YQeJVv9HjSEL8dw1dP8XyG/Ad5ErB3gGa5+nFD8VsN+Q6wu+lBfUD+e2PhT3x5NgW/mzNYwKc3wPczRBozry6XdnoH7PcOOFhkPT5UsX8/Bf6e2hADQs9/nX2dqD8xzbvcaplEaCmH+QJeMGSrnnJqagRtUmmcGV7MBx0zwPIQKy18Nmdh7Zl0gB7BnlSMy9rlD8Bth4ZtiYJXBcJS5mP2wr0uxJkLxOwJMPs1WxuHIZVUfXpVrp/Anl0kxIDq54w+qYTB8YBdUsP9Bj7klvSbaFmlDdx4UPu6n+9iWB4HS4ZZpyeIkbDey0sfO5fRJ+TT7KrYJ+AwyFdUDbmbpEcUQoxEmMAeEcsGDid31YhiM1PoiMhCgUNRU9e1gp+N0yZ1Fh/iyBvRPJMu5JgBfXALvYn+9rL573KQkDP+eKXLy9wq73LE5lwIslxv8xg41bqz6PDnnnZyAcy/513jYZ4C4DS85HI/GP0M5H9XzuwCRgqrrnnIgc/SaSAvtwnY0Ou+0qIRDwRPRvjzPV7NrMC5qPI/99No5ph93mGtNKbNwgskOKDPHPA8ZxIiO+Ax3hZS6yO2cZvb8l0USY/HqRUou1dgP6ceQmOEX3GDAQZ8y8PH/fg+M8BRsBuqqofZqwdeMLCFzFkukEe+YS09RnFUWZvnkUMOL/4Ch5QV+KVDA5ydAnIV7zdPOqXRnRiaWHplATg9+j0X3ZimMByiKGNLkXE91tYn+P3mjrvEpqauwppvvOCmDqWgwE1K28zsVm+Z2G7okHzkIWepmO6VANwWTm7ltKb+lXKmPGK4bCS7/9dUWDY1/dAh+TgNmDQrwWmEce5m8P7mDha3kJOeEBvtOvBn1beb0sFn4rabCvZZhmZW9/RVr/6tFltXmTzJrBVTXEEkotngvWraAwLPrbg/n5hOKeCiqgdfKfx9HpNS6HSl4Xxs7CSvLLlXXG4Aa9np2rgU8ljOsGRDS3PXL2tL5dj0qYwYNQP5oh2aMMSknP7W6l8a67GcjEYzx1eIv1fgi+tpmEX9o+UH+LMwd9zSBb8bsq55lr2ZX0Z6BdiGI71yy+5Y5HmCMhuj3pa8fcudzSr6xFMFosDrXrbBwdfdNM7MGepQO9sj+HUnWPuAeGGZGjE2+mYGu4Q4VVCRRDxmz9qVXmp03a3eOpryCqPnbwEjc0x9m11RmgyiSJ/gO8ne9l8akjbhU1w6sDbvfzzlkIFQQljHp0onl38a8DfID6HbAIapI4gdAZ+rmJi7ly/ShVeje2h6MhVK7wczE7RLhlOndJPffuYZnqL5V783Db1rFSdTGm2PeaxEyfuHqaEqIfbmMXrLNYacPuva0oaZJ6kdLjLOvJyZqWe7azWkm4a1Fiv0Uo0pvK18wB60OEquGUcf1Glf+lFfZR8+T53eAIf5aEQym/7Yg4MdsLsHdrxEcDQCPvxm1MxhID/1GARykJl5cIrxF7EWiLFkoGBReARUhSQBXvpobO6fQu9IaPI7G64GpiWH7VgV6pgNGnGONgcH/BK4L+XTFfiDyDp0qIEDGz1k2Us70xgR5IfHaA5JkEBOtT8Yl/1JLBBf4X1Hfy4Hy5wxdqJvXzXS/2PqzLZbxbW2fUs0JiM+XAQExkYOQg3oDBAj2AhMbGJjrv6fSm3n+w9q1N6rshwDs3leNJsN56qoA943ofdRW5yIuNOg/32wYzPfFX4naMcC8+q/ea+Qp4kNnGxjW2/UWQvQLuYMc6NoMkF2Sdt8fgOdfuIuMEj/vjSh/dqtY85jnjQGDw71HpjEwj2AUsF1xrnZcdOnTrq2UWixVZbmTBB01tiY/RUuSuDf90bA/R9211q8P2sHkRrJD7g3I+uTNHPBxk7vrziPa4qkjEmYgTrPgIJqQawqwquZrZ1RZc5aUBsiavrm6zXzeEiOqTWbuo4DxPEj6BECMTRPR3mmof1GCnXmDkl51Nh1b95h/fV/PdsgfAATWMACjhg6Uy/ugN4YVTQT4MqltjpCEXaboV/yGO+rcwdaNhnJaM7h+JVZ3SOzvlw83FaweWM7M/C9md2iQWPcuSVfjN0BO9qqRyezE1ZwAlEJhWAnN8VBA4CuYNS/ZKufMzPr2taPXGeQebKNyfmsvywNwpJa5nyYPCrQiP/tLdk66ZBUJWiwRnSvud/LsQAOQtou+81zvyZLdZYRAT5rtZk3p+zffRyRXVVc33MXcoB4OHtXydo1dfvbTvQesMI2P7J5xmK7SuCxtr+5eEyOQvCfbJhePQhm+puNzz5YMTCOJRHYVFL36Mi57LIC9UeuBePdURbNg/V6Z+bEAwv+kGGOK2HvgSm+cxs/8mE54R4/mMuvBOm4iTqnivguc+T/zr9ua40myLHLU/EQ7rXigulrOeiAx7rIjB7RZF+5BLVcQWJuVl7o77roZiLQhbDpg5v3tKBTSTgfsLM1910AQ/0wa0uI6W3gf+/nDy3jKeYoLOHZZ1x6+YiCqsc7xrZvLP6P/WsOnOpMt7zYPduQH8GOfufKV+FSiZhnwCEImOYuhAIeNu+egUVd3y7FRPN8+3pnvvD+a22Fbfpin/kTcszInmzcLZh1VImHnQ8IGKbbSDHPSgD/UwWCtRMt8zoSdTmPzD6Z7V1pXHGxFClqLOLoseFmHwPhoLX+6lJwNLlg1PAcpg076w/Btnsa/wPNgSAnf12bggyl2dMC+hBH+JMyUqrT9n4Md1a9yqUUy620Mg/iGG+pZDkCUj4nkJnwZ9nbMw/t17tKUlpoMLVTJWidVCQ2iXfwORL0ybKAXuOgqsycGrhH5JGucqRWdxH8YmPKL/W5vILGyWn//lD91722tj2wxAeLiI85xLpBWRhNr/rDOHe4z0GLNCPyDo59bga7lP3mXg+LkBEDHsV7QtWkit42c6HlkNoq3J5zTa5pOEdVka358ICf+3elkb3W1qJZ0I2t/lpBt5zTgbzmR23Kfmv243lqMLowyWjs30ivL6RHCQYW4S4R+GMOGVueeE2skuq8OeseQ85Pafqk4XTLnvMPqOwNsCTHKHEJeGglmrUOSVcF6nUOi/Li69mcthDpJbA9eds7pQ3x8t6if2sefF3z8Le+BeJfuR7cLk2dB+gNXNEVX3IXC9ApuO3fN8zWlLn/npnFFnZOwtoyugZdOe1etT1hpkHv9u9rY+vZzO3AZ97Dd/8BhmBt3I31CPp/sIUwe6bNvAbQW3W0c/LB7FdMJtDo3w0nBOL2Uj/nZxV8eUfD3JbeM6B09bdHdc7r3gOe83as9+C7+o/j7+5ZnaTCPkjQEZAVSWlmEDKimzP6BGvxak6w7LuD1EmXW6AJQeUd823FA5nDc57KHpFGN5uceT3o4dd8m+ex6M6lpedKzFFOpVU9TWwHhF/RQm2Eqri/Y1cGoEmIDPi51krLoLex+HqysPuuerahBT7Qj5t9cDbm/aAnBXey07Y09S5g/y8+vJnZ+KKYbEn5nvSdeafg/b5zO//2t671IB0B2u5YyLsI8B608hnsjOFhCaoV2dKeUtCv097sLT9/Abdor46BEwPIg0Un9/bfmZQuQeMcHDOTQU11n1o03LhUkO9s/GcBBy1mbnMlTI3kVODB1EctNBdeBuHT2J2pG+VApbcaWEdoXZKxu5a6edDzzhWQV/IQv95jF8Qmu2oAvRd2R/CHnyqQhxbhQzbYNj/vnhClJ+D8j5STA2N4BHvbmz6x1EKMU0zqUI1gBykd4RqdKRBI7rjwdhXwQZ0DI1jq5ctPZvfwrJPAzB5mQ/IDd/paiu2pCSSthf1o+CQht17qNekJaGFudqoU3OzUKMuRrfAcOxU0jtnV0PQyacz80LOS3E7c1MEFxPzXbtNHBhols/SOiP5KUXekiFk8kt8H9+LhQX4c42yB7zHD/f88Bqrbr8zFRbakq/IzlqCKJ2ZHBKkj/VAhaCaeIOCbvOWy5GdeUlv+zVosR/yTjmxpo+mo2PZbUbkHzeORwmhT0EdmhyBoimPgv5Hh8ix54/Ee4tagl7wHThrJR2XLKWddLml2NT21avTNHJ7v6gx8YqnXdRWVoz9yxr/r8HGlsUqBYTZH2oEGuF1l8LUenPSKn1u4pvQu9cUrbe2KCN9VvLuSWNIq1BCDIefYaGbA1URsZ2x5+yZaUuKgGNvkxRvnxuyG0o2TnrujCMsrW9GPOfsBXbqTa/dm3r3lv/Mx9Y2Z860Ve/sVu3trwWpEfRX8exKneZhnWop3U7vPDccqkd2PoN8xRX9xnkT6M4XvX/egT5iZmTHvm2HrS6u7HxGZjqhx2kFF4D+GvXdpCDFzRbtjJGd27h8YNFOKgAVYImTYP/Oof7Yj8NRpC4FtWbD7mo99s9LisrR6Z5leeAV+Tgd5p6xzgD+X/fP9Xpn9oLrLQBX4oPAeCuInFchhVEYtxGxCuQCWG0Fb4SZOKuD5Mi3UTDSaOMIdG7tXb/sFbLtQPdegQTYcdR/lSE7w9/oMrj2z5kvF+k0LQCvM2Qny/Xb8cvfu7zwBm/Yangv4tbO7tgVz8zF5pqdtRfsvt0Kdxy32MLshXnVEeNhOtU3umeNBEIYL6JMjicDfBunJswrbAW0gf4iySM6Cqp+MmZkqph8+fDau2T+L8txKcgHsCvnG7D1jqSOnjC1ECllkbhf/1fZEy9XUYppeY9DGH2rkcc25W/e28RHeWFszEyYAHfNUlh6Fni4QFwdjEwdHJ4rB9TPjv90Ngy3zM0IZlfdm9WPgypKJ+W9fgGI2ykTjsJEk3OJmNkdUFp0tCv9udq7LAN/hs8I8wqcm3OZ85DYbyA30upn1NVQOv6agQyv4faYPRKDGI+u/DWckERoNEBle12Vl1s6D574jBfo48ink1s3KwW7TM9o3a3Ir+RQprnaQm45V4DPQM6mMPD+1E7Ofw6UUZVJPT4g/biVu3t6ZcUrlMY8ud8m6rhz/uPd5ZOFDhNgV4RQQpzuwfvqoz/D3Cj/MbC4gzkZ5jw650xVp4K8EvKRkUjdhuYFYd8Ba2XIFbYtUn458EKdtBrZt9msxEvt9Nv71wrwB861mpljOlopwvsMOuoIN3M1ubWBQc56eN47OS1OnEpEsHdWuzbeyed681OWJEt431SSmwtSbJuHezHIZUYXNKfjz/ZfDXmyTxt0RYu1OjJcV982dOXbE2c0iYEd5zE/Y6bJ8nGaM4A+0ituwue7X/nmwpx3YwY2d/5nZTUHzMb8drGzDNUTLwM8EazzIbRFoz9e5wyAK+QMsei9XVDRcfrRBv6ms2dzvKw3Sa8qAw7jJzaA7wRjUCNFZqEPGOlBdtgRFapVnvyJ2MgkhNbXwx97srg7IyfSoKv6399bssTLzr1N4Dmv6nB0hzGk5+gZO+Fah9PMhXQXEkYMlU/U7E6GxwRbu6YodyP9HiI1OaXkOYd6tjZQlQ3xJx4SK/rapBjxQl7/6zX/7sn/3mzs7F69834jlKp3lG5g2of0UcLp7MCHTI5f3vdNNwHFxNuITsxKeOzIjDH+nEfdr/W+tubq2gmQQ6x0yctMn+NEOzesswGmAUzJXPclpBlpP9mCD3zhORiWSM3WWEOSSQ2Je1Eyb2eaBmWObjcBBUfJh9rQDJxbcljfR6+pg+xK05WzO+CBPnupwWejw/uINmo3hlbHpu0Vqn5/1mFpmthDolEGtpJ/NLo6fjKqArfqUnyHXFtOpiUnRxujExW2pNT8KxB6M6kVE27c0Uhj3u7WhnLaFqTXGr7pKkzOAnjGncbjyGH1wlByV26GGY1AZdkgF3rPTnFU2WFXMU4gf95QbkadKOZpJcVOOA3xmOiH5QNY6WpY29KY2YE/QVzuIGq/9y44S26U5w+f0889h7fYHNzW1okPVb4+CItA4HhED/xYMjTTo1zyeTqC5TzXl31V8sSHmOKDH3JaFFhUX+GFii3H3qGnmNufdNbX08KcdxuwuqDzVK7uD3ihe9aGmpwY7ywZiH4hzz/mdSzeWTybKK/ifl571N+SzE1mTOB2mirgJh/vGIebT3JYIYnpXcUVN3n/lL76Scm95vOzlwegKM/+OhbMWGvgr8D+r1Z/TgJzVMK9E42urf+PkM3eTY0n7FRjGohbJKUs2pbX8wDMicph5G+BTDv6Yun97sm61Y+9Aa1UV6E0CuQi0agHfKVG895iZHUt1yW01c1fHwJ7A1F93iEEOh5yqmJc3bIur4d1hNg4YTTaY60sevt9J4PegRfKcpy87fIheQnZIJNjYnA7bHnI2Tk+zvbdwXNsA1BaGZ7X9kWeI76sf0j6B3DF9yF7D15aeAN0PjNrn47+lBm2uYo4Zs79FrDvT7cmjv/6UGylw9OvLwD6gKXd82LkN5KhKoLwJzP6WBKnnHCl2eYB+jgknjPYy52eVYw2c2HO7DpRNTttb7v5bMs0z0OQCtHeRam7mHrzOzXE2qGu1duBjxC+pcszukoriH/lhZvDqKzcqnBGa//a9pcBSNiByIlI33KgYOKpfwHrQQcRTl8bJLQXNrs6dziNlM9Pb5Wxf70XXavxnV24y418+B/3Lus/U7qwm5nGOTG8Lz3KNLD7MkCW2dlmoQmk9AYOcVIBR+jHfGjsJ0wCbWQm6Hs1OuI3TWF2kHDPHb3rZRpVHy60yPR9xt6ZBuqaxMnVZQ+bq+WB/2Xn4BfFA+TJGfga5iMadzMUicsTW9pwt8GfAWpw2dvbMe43SPl1LTs6gQbEK+KoK/Kq3qQDHTsDMkTmvIODZjdEFtnm/+8+8tarKYT7lyOw42yLpQr6yzO4JlNU2Gto+CSBm3qWz/dlbKsWQXckgKeiHJXPwSh3QXOH2pc2P2YrNbIoLoeqTa3XC6z8L7vfE1wy4g9PcgZhr6kDNXA5rm2bi9sh0l5NhG1c2tqsC7E+jY7USmQ2TFMPc03D+NPVWrOi+mZ5ebGOnkeVyBw0cNKKkxOeO/cbc3SZlO8j5y6oE0XlvW5Af+d7Gazbqj5Lrj6bfOtLFlMZmA7peiKUsgpI+O6M+/djusJBxReV3E4Yvm98RhDA7yxNf9aUJG8e8fzczgUre/ZSu/MwcyCPOxcnO/oWyC7DmtKkH+5ICI9cOQYRNQWrjNyW+7mkMsV50QdpvdcWwy1DXqdB7nVceuXNb+IoZPE/eiukbGKajVggaYJnEaHZgdHYbJ0ljdpXG+NmgEhiQA5VL0cK9hLx1lX1mSfjZzIZn6egA7OcjO/eWRHC/2B9jF6VD3Lyf7jL6Wpq+e6jo8WQhjxnE6cqye7DHso7sKOW98Vew44stNK7MPGvg5Q8RKDMn9LO0/Z90CB8ylHkeec/a0hqDb1Th3wyuW8m6RbpylWz5aUYf1YVcSp24oH8ewOhl6uq8FfiWn9V3G3RR6sw/zEl+2Cg/sfbh/nNgXj0y62GrVbrlsLxhqifsEO8YdmEb/F2X8W+JQ2/XaH/JBM9EQCKGUJSJy1MxZeZc/4BuKEshN/B9NoxPjpnBmp7eH5XVb4SYf+oz9pjNHBluwQ63sxw7kru4PFJyTAf+0pVOyW72McAY8myWh/yoaGnltPNpuLy12rfLHriLgeQGTZGCtqTWBrS7CsWIrlTomDrSzK9YG1PD4Jh5+gjXQWgDB4mMEs/sGH0xNhXEVQK+oz19ENQtoLswiVFmdn3VsT8Dw4FOxrosfIuM+Gj2+LQo0S2YsmLmDJ94GDhFimk62KYmQZ4hV7zlwNfAfV2pUf+q3yDCJk0xLURIwwsU8heQi/Iqu/vM8xnhfpsLc9YbebaIlkrGiUVHP8pFdwD+TyTHHxnnoAOAU4Yprpm9qVG3L/XFSR19BR3yOrvZpaCXKxeb2ecVjrwjFdMebKVomfeWB8gTgQ+6GecAS5VkyZxDToGc/JmOZKXI1GMb3a5+gHnMDoT7f3W08wf4sNWeJWo5edXpOTzu3ToOF3PeS20VVKApZYRvREA2CUGaBeWaORw+I33C9a7c5QiY5g4EdAQW2qgoteXp3TqGF/ii5CZiYkN8YXLgPgvk/SjKV+w9tWJLze4EGftWvjZXydEPC7qfhsqpBj3axHo0/YksvqxHymfC5rfqjJ/loN02AN0STUBsMsHCk6n79SDmDJ/jkQt7r8TOwo79so073JOsAh1FqTrW4dcD66lk+XbCofYr52YxC1f5cHMqjTppdvMguXLRW/yciApBrI3M7L+Eg+a6g42APp5oOXiWOCNTW4JwLF/nejHEuV7ozsxN+cyjTsrw4Sl3yonQ4Ft6U49TLwZ0VYw9ZC+frdlNMWzzKtzqbJVe3t/WxuHPgzVxEQA3OPjGz1iwXso6IqSN3l/xMGSsfJq9TmwEn6GmV87vsCAiZZ5VcmXOWqqcTwON5nMq7EVCXs0YnnIbLgr8t7H1kYThg/Y2A38yvddPcS7dxu5dEeNVxejlyxPRicjNaUtfWjV7tyXrLRptlzQmkM+TkxzNriJC6PB4tlrmTOg9+BsuRXY1/YM0Qh9CJ3cckRFic1hT+WQDKjBCDJ/VW+Mkr/z10ZjdVoN9aIPkCLHuw/S+S4Gtmv+zU7bt03P6VIF6KpO3xTYDXZP9NxcQFbXNQQ8ou2RmjirEMe4XjdmppiVoYi3ASB4i/ptxF2aFmQmPcXYGfUszRyDcgQqtSKg/cJitQuBn1vM9szgyO0sFaHER7Yy2gWf89czD+WI2DbcxKUtr49Q9DwXI3ZItqI1KSwGrv84dTO95SyHnhYlb9eqSiimRSI2l2ZOMVAS5KDHnWCq6bdSwdCRCpxTygorMLnMFuiNdIN4j+BxPWQvwKwcfSKxGqz1wuyuY/fLlQAj0nTLQNn132TvbA3ynvA55lbHf2sFb2i/h3u7NvEeJnctDFfA8ewK8ENo5RwcaTj4fEoip2VLZqUX45AJ/+BX3r5CpKh5uX30Bwd6aPkC/3nnh3/C6WzMmZ3FONHYxfJxXNeG2qnky/3JV0Z3YaM754K4/twMPUjMbd1Ox+XefbBp6KI3xNXPknDmdnxfonvYvvTznR6bvKkhMT+lbCfYvHf6WnXECXN438RcwDc6FWHBjAbc6mddAzq8sDTmUMxlPN8qyBb7/auZhtH23aUJ+bsx7mVBeOGQfuM+vGs6gHvXCenuEZwpsALzc31ziTqAtCQEG89IgeRi2Ba4lppAXGG6piuyuIHczhruccb8ExsiohAwHXM0kT+3+2uQ3m1A/hLxXvniesK2mK0mBAe/MRldio4rZ0wn8/qMOO4/YEPssLJoxXfLVX4DLVmH2PsHzyMMe9OC8rxjY5gAaVEybNAKAHc3MD3SqEZ/N2exLV0rL29Qc4iqzR8qTN/C/QUXaVb13TcEH0oL0EPPB/tGS9dsFBzxvzn6sou5mtGSZgw4QiSgphog8PznE7yafM9priMP6afZQvd7pNaG+U9DLAuyqHLor5CEEdudQZsfcAc6LcJcWU6Gs7pQJ4EC7Q5Jm3mFN8ME2PbMQu93uwmJNeGx6ahoLW72HA9lxuwsygV79DgO19Vt9mnc8yq5YzHdy5jGF3AtEZMlBO0eq/LogbySQjJoeTkRMvznoSXNWyjNgDs0h+rUDWmrQ7uKsHfAFAtfoscFOm3h6cRTkIfIpBFnTM3wXqlKzBxCy9CdfOZfRXBj+2zvvTm3/vn8GRdKBbW8/wU5G3HdmBhHkOl02/MthGh+YNecZ8NXhuf2ufmeovd5V3p6ggwv28X6lcbkxM+jaj+2t0mTOQYLycwZx0POP4TbJCpJhZDRneZegj48UmBxkEmh2JAL83Th60wq0yzhCDe142ttvNdcMhO5rV8uKBzz8vhcWywnytq5dMjerf5P9dAX9/0lEs+EWQnWIBDCvA1qPs4LI6jlP1E0yFuIHX8kPgXjagl3B9TjSzHIHLS1tNR3c6eXL2cGVwIFkzIQu23N4BUV8OLghxMZtgFdkep+/G1BsoO9uZJgJZwmrhHyAL6AU7KPU3Y6N6EhHBHb0cOtg55h9k6W1XMu129WCvGaLgY/Pm4rvHqXjXWqLHEt7WlKkghRyA1l1Rayky4NuA/q1AD2+MhEux4JUFTf928mHjOwYYgHoouQOMTXOTYxx0nt9JvvS8g6K/83iNn3w5tzwmbv9lY36k+kkqp3d9eBsrsTtDgw4uRz4p6SY14FfYrN7o+gX6k5vpfO+gL0HLJpHov1e0W5Xwb2pA8Mqj0UWnFJXvfjQxuCr0sxvAbbh9teV2r97weF3eVU1NA/OrPVo6kNDboPutoDZLIiHNF39vSpILp3ZzFb8AH3sYcEHyDs3Hv/b7F3I5w45pdbyqqlIgY3eDP/nMY5b+s9rzew1xzYzUUMaZ1dCyafZOWZ2VNMIfPb3/ZTK02jJeIh80LJThdRub5HlGKvsGOqkFQnEjWwjbewz62/X2I0UZG362xUYMTxYnWs6OssVH9v+d77Fb+9gw2TXACeIfvrvfYjN4Qq9kIdsw0Lk/u4oH6akZfbV7B8trS3PWPrg9jSXY/fqXdpX+fxdFvpeO2qGvH84QNxtRvShInUBDW+noBWVCG3QxYRY0q5dPrVwXZXpfWQkNnsnIf4eW6S+mZsUpdg+qwLiaTHtRNhZ5tzllb8aCsxzxnBf4T7B926iGQN3DYpPZlf5Dw3Vhgr5xM/bkgd+Qt1sgfi9loN5j7yg2oXY5GKzw77KrIfVDirJbAK6uAPdRC55JPX/+XIDjLbkZb843ALejQlKw3kAblwYmo7wWzd1tHTsrMJSEN2YWe2jXwA30IOb9KnzsGvz7ol5Zb7yXW7evVNlYdb5Zq9Xil4znW7mHGulxTTiGJgSAdQFZg4dAtpBlIGONv2swOcLB38AVvzd1V46/ESZOlE0nShkV2AWiyJS5WL2a4v7jS0nyE8BDROPir++bJE6k5kX0QN7PbjQCBhuwposqvAns58cuLeo7AR0ZXpNuZlpqC6l1YWyX2zIdad01a4AjQi6/YIDnObACCYHNKzbHZwplOI17+v2qrU6Qfx0UqRpE/eLKKRFwveVW7I7sq0tKTqBfjGTbYAJyb4xccxmSwq6V8TJuWEmNnbn9uwf4XkA286+NFO1z+lK2PLapb6pmeWqM8Q8N/FqhkvwXadeNaKgRnIrAbbERA7Y7CANgYMtySXoUN8CzbMptXxjVJmzM2fvLKe6975NDw23UpdYD2CKxMvEq97m5nJn4TTU5uxcZM7sZ4wtbYwD0MJFS0GBhLtrK3AADP7koG5k/7AhJ8HzSTct5A0SojdKu4yt/oXGl83Bss9gx5Jy0lOmPzK2vOL8IXeAlW0e14W/lFpbtdmrRJNPHk0xtn2Z9fOcmjm3AUJtP/f8+b7JIe9jzj9aBKroOZt7XFauOhyFmdvkJXWhfBqrDh6/JL31OuMAfeolaZiQXKCgCZNMFHqlrgb7QJ6ZpQr50+zSRKwn39iWmxLEj3KATyJT5eutbcx/UqbGNEKh6c0zdiqj3V1ESYaH/olD/OLDTgbJ+QgUV9nomwm0Z4M+EO7rPOZlGm0vJNoK+DzNIMYTzhfIZztWpM+KmhmZl6UtVEej1MtAv2WCnMDv4xYln/XHbRGxWpR1e9W0eyrkpB3lCXwf9OhEGle6kKNBX/JNi351A60LfiKjb/Z1BM3vOwW+AR7LBeeQtxHjsdlTiij8DlOrk+eOd6cOusPPj6ZH76X1uGN3mYVjPHRDyvSe9vPxWPBvdVZe6YB2G/mUA1PWFP3kzrY/hrsH2KRXBcRvuLzCfa+AUVfgHStbkyxjimJbefmQORju097iweu66ny7aVnm7V2U5oPZI4L9jJfXHBjpsKKQAPccUb9hGjkkUqNaNbBhuGJLGf9YcksfU+E5kJc2tGBuI4CJOHprafIkbrkpbf2qW4aYa3aCkL4FTsijpOCujEy9vxLyjceTNrv/cNGZXYaTNPVRwde9Nbt4Yv72X7+R+s4Lfawd2xGaJKWd7DBL3ZKCjTL5Iy38yikb5fCggbt6cJtN1WvKPm7eEWwNW/Iz67vs4Gxz9rF1xHi5g9Y9gto2+6MexM2AJ/kOfK/g/ZLyIdsI4B5glARbybWk3Aa7PO2t7nUWMMvwfbO37BT0TNqe0bGmpE9ddcKGb86JXUL8wz1a6drZ4B9ZGjMPNPDAXJ8365dXWvZA8q1/cJVNLHIApF4J+H1Nk2+IeaAd8Yt7H0oA5wc4w4Hv4xjd+Mf2at4BQS6vTG+HZNMpfW5dPGzWetiux6LZSEQ+a+AKAbFTgj7CH/NPG5EnHkpXRIq1kS0hll9Ts/NvmF718wto1g/JNOg7kjO303n/MAxl5U5HwC9PEuIjMbt/+nIBjnUEx2vDtt9gX4jaky+HxAINClykF4g/Idc6LTUHNlaYhZmJ46+6r2/peEfQ3c/W7KMWc8zFfKididdhMsMz94ErHuJ3x44sIX9EWfHPBkmzlhruNEokdzZAJP4A3JOwIvloh1nygIegRa+Eefs6Uq935kEq0IGMvMBmTsWQXFiQjEeWuJnDfyC2cm6DDh9kiQcPM6czs/XH37l0gUoZ+rdpTB3WxzZs4stDcP3Gis7MPRNs3F2BzXLMmtf51w9DCYfv/QZx1kkD/ruXOg20WSmWQS5ZcdxlJg6zNVlpn66NJTepI88c0g5EysDMlZNcX0m4s7CNOoIyyChS792vpyqkUznbF/deJcN2Nn7dCZegwXBZjfJS6f6RMU0gFkEkJGltX1xg27OKFk+C3wHjYsyx2X9jGzZgBYJ7i0Ulbgt3/y2Kqiuw+Qh5Y02H11zH29IOllMKPkuNF4EQacVy4KPPcOGv2J4qJpboGGnzfspm5myFkoCcfdFS4O1eViIAb3UIsOF0zk/zpewVrs7ITl3eVeH2m/f6VbNEsZZn0AxCBDzl7pSXbhKpoDM14KJyOfDNsgG795oYdabWDHhmBe2agXY38wRtiMkfNA7v+aCOhs721jyWIrPhflZE4COL7Nd7gO/9ikydZVwF+F5yZXYC9LWdXmtmVxBDaS6AHi3mULhu3tsWh9wpIj23sbzlg75DHLqxoZPpCv7v7jyI+TFG6EbYZPZimh3Hf70Vx4i5bJCP2vJSiNtICmCqYU4Z5D3TPyEG+yLiED4D/lllpM5SMFN37YaeCD0LAu21EngH+auUUejVH1uheAL5YkpAV4Cv/s0yxRJhPw/QjY0q5zRzVZw9D7a0ySAL4MEV7u1VxnKDV53J1WzgRezIsQVxaleNXQKsTypmf+Zh5lBL4sZVZa3DTQ35jyPtUMpfZ4hRjvyn6Jej6NGdsBCsObuCNkbgzwS0xBVYCj7zyyl77IMfOqUT2s1z7uE+fDTi9kgH0HrnrgK/++GBKkWgNT/LkKHyyoJ/Gx69ZmLcXNCgpRI3G7iEV5yTzOlwzrajhJyf2fxu+BSH0ufFlB8shXi0tdQqS+7iBfKnk7GH25wxNjOXmmGCiIg3jE2InGZZMr5XI3k9r4gH+iJBb3KuzHkDLu2OtGFpAXftlTPdDrZCVewLU0cEOoPCMwV72W1wUS6t2SlmQy7j0609sw02s2J4d8eneQUe5dKGXMv5i7EvmbUgHOkfBpkN0ySseedmWh0hz96PArQi+AQ9dzfek7h2Sbx3yDftea/s7pQN+JY65ElWziubmIqHgK3dmwjRKDTEBdCNwPmv91GfuUWSrNgB//IBtMpHjtQHGROZD1+PNNLf0irhs7q+WX1dUx+YiXQi4rv6jL6xtYWcamYI6DAV2doOwOZnhNui+6RBcsCMA9ctyat+Iw+aR2OFZs/zhkUbr0W+m522Ic6354rNYRrLO7CWJwZsUedroSEG7QLcI5JKsXfQUaQiMQ8qM3PLwhf5fHf5wL/bmFngd3aryd9cR+C/APxL5s+bOV8mVQ/32nl3c9HtUtDmoDdYOSwH0N5Ftf4z5w8nYs6+w8QWvZoO1s1hWh7bwBecTRBnbqbOtsr76QM0Etjz/812rpwZfC50mz5JaJ8QxYBuhs2GUQj0Lo/gHn9DbqQl52Y+jpXRxBG099JRHsDnnpC7QeGQb1EQS2mSNeduJ3p+Vc4S8fiflwJsvZittKc0D4mV9gSZvQV5uFwz28zkJHljk7Vedw531K7VPlzfvMkKxAklA6YdP4rSAr9+cNO3VHQXmb9fCe8CqYkNxLkj5r3bMP3NdBJcXXkBebTQbwdncdXgGe3hgvY4Zj0J25496bCVlY3JMURPWaSg5X7fuY2Q53zOcAZ5LJcB8vZ2B/983QXEIib0Bw74WfG/eoC54bovxdSVgxeqAIcqtB4p6gr5sS1VXFo4nNdmRUlLU8jp/EysLhJmVnSfpHLgD9V34CvMrc7kbmaF5HD/yvHfUxTqhwjQ8c72dcahwbc3FFiGhuTN9EfXEXqWjnzDQfc7N/34MXvCiOFeZ7mjHvmq+ozy9AheWTuSgv3HrakDCt8fOdO7+vS+MXucDs8tPGKeS8ZfMzESEYJWOH89zR420B0eN/tE4wn0cg85tF8bkeRVtJi5phMRHs9tZsmhX6gDrNQbTYcn0NSbesAlsXbmHMnkgAc3u68ZWlOKX+cOZj9zws7JobJMjXeS8I8ZNOay50xO7bB8M9qtNPjy6shECDN3XK4QHz9A93rw3z9MP2pedGCv9pEJD0FM+xBUyyZKpraYzPuB17svUZo4DfEV8jvLBUQvrsyMJ7eGCPs7E7dAC9zPMdNkwuxxJ66epdm/yQgGLnOb8Z8lAvVT2X5p5s9ljvL2oKohf5woxFb4hi/u/fx9X9DbmlodpaBG4Vm7pn6b5u/3nPNvYDcHO9mGCpQS1GxyuOcHC3/k0WVtouwBrJPVp3lIabhgp3Oq5/xDrc2VOu+PKuKMsq8X9xLGUE/oP7c+k4ta+bmKsOnNPP7XOy0jsLF7PeJdhbQU59RtrIlIPdkQp9/Sggc5T3wGv1uZntPB5i1VedN7ugnCp+I8MDb9uofAPOlhTdxUw9VqyJejAj+cRuroJQfuLtnlURc7U4s/CtZ9tNEMrI47ztQhF8vjKMzeK+yluvssmZmtPSUgy/b1YBcHe4rAp159UlT2E8qd3aaxzY4DVeZhvzDGL7TwA25tv6vhYlXhpPMBPSDDddIlUVXIG+jchzQzaKNJ4r6HbIKK2um8tr9c1Rm0DFuO5UjS7Nz9nZtn1syJNcfV6E9VgIbcnQT4jGzY4mCtLpBfS3oGHRBLyVcOcZatpdU/mWN/41CfMiEPHE2Qc9CZuNI7FsprIi9Koy9LDdqqhfWaU+EcRReTFSKAPc3UJSy3FMmpspogc0HDZmTd2cBtUyumA3aTC2hyc803WmTXKt9WkBsrYAemnrd7GpBvFb4vxygDTgm96iyzUstXTvnmFHTmc7bxYGZTKGBwgvLCjxXDgdk/JnrywKMGTeQhufo3znUKetOvQ1C5oR6pnVjceXgQ3/TBzYDRkvsxSiISbsNSLBbT6rXr2UlXiUWR7Mw+qdRJPkUIdyLmD7CNGHzVhTh152aW36DR3gWqKaZIRZows6fV7cyZr5lHAVq0uWJzDhJ6qHJUSQd+NzVfx+Bv7hwmcbPhoffDIK+WI3LAd94aR9M8nw+Zg8u9Ey7gO251msHoJWgcfVWQ19Qarik8F9BjC35u41wnSd7b+8qyvZrjpHTAngL8gaPlpb8+G2ETEk9lg0KwcT+G+BeIAuJqQYoqSO7KutyJLt0KdGIKzJOG6iLG5MgsLyJiNrsVD6wHphxweFh1LIRn+oaREnZfCfIJXPXqow8qF6eNq13FlifckxWe8o0XaMcGtCNR55pzeDN/JR0SzeLLtXS6KxVbUyf1nVMzOyYB7YmDFiU+cE+UakLAz/uWeQlzpg8y6Ff+Ckz/Vz68P+lzewKGCtoRfYJ9odLM8+w18DNJ+aoQCfClRd09sxJE2BYRG7RZrMAXtQU+7fMeH2oLQ2roctDMqCo4qXTngpZ7xSgzqzFt1n4152982B65mz6I45UN1czMYa2QH1LW+eXa3FuOKjYswuzOhGu9U2B9Orw7pUus3PQuwr3M4+6uxJcH7CbrUAeV9aqpuD2yIYPcpVNp6UfGTe+xNLPGzOw1ARy8y3mzVAWmfExwytNHyZZOQk6powcwq49YyNODNT0wMnMg0a45bU+SdfYvC1Fyy0f84ihLujg0u/p+/R2oRfZknw/bqkHazHg80QIHKTAoh1zKesOt+gSxaq5N/YFOOo6QW5u5t3wy+13ANu1nKnCSIvJfDZqeXj10Zs+PjwvJU518Zxy7bcST2kIDxK4Y/h1jYT2zIXxSm5xBTyxigNg8Nk8REauOJ/OOt8/O2lFIxzhIQPMl5+aclCKyVtbzqo7lq35eqmG3YfaXi8//bOCvFD7X3jscWIfD70sYaEoP90koTAwPVMZMnWMI2ikwu36tpYnTzVFgLDWfzBw1iAVjBryuRnkHfyybkL3s8MIpcELgX9mqPkB7nsjYX4Gz8cGRBLPpWg1fEAtwAAy5OUY2cKw9Qr5/tKHmbJRX9WHOQBGuzZzbsRtZr9IWKZmdQcEM9qDO+nUm9XNwEy4gdlCLWNjtId6qXp3mzMzAYKFt8qbLP97dBv27inB7PzgE+BVnEFc63jcexL4TFZNbD+ozpbqsV/WWxhf4c2CFD+B29KoxmzV1dZpamZUWCuLpJMHPSRPZk+mlB68K2xA+eJQ/DS8h9988/Hy/m102WVHeG/CNdEBre/ZTwWSVuVKCsnoDfZJx5+tRhf2mHb8er5olfPav1er/7Fd0OqxStGaXl+1n1fq11qfbPXtuA7OLuY28nLIFdJ+8tcN2OFLQz5QENfMY1ekD2JuKUB/bWBUZ5OYqkjmJpCRwT17nXw0L7zgmB0X5qY4bi7Elg7y4ciTNbrog4yjAlje1UeOma+OB3bltsAN9lHBV6KLpp8rMPgbb2UEssEigJfx5zz5mDbYWpSz503ptAejLppOybLsVmJeWDuFZvJWQgIE3ed2HwCHKzPp2//ddgIW3GGLwmPbYZRZipOiyZk3Smi33tLdcyVR4sBBunOWWMjt9ve/lTlKmZ52XvbwBa1J4vsi8f0zPPExpuebiYtG+g3yLv9uit5WFzHWPZgYLpXiAfJXSoFlJIX/guq8UchnE1h/uhKsIFVdR+hd7KwsXgt0eTOsj2N/9WPQefGPIIdPbwdpaYAteqU0u1rvSSe/A9U577i55odbchd942vaklzPw05QWnc0jL6iD5n5E04CdaTi4+jWz2mFxsjT/00+H57sjzp2nmMKghyVouMPB2nncQpeM6m/B8IjBl9IVd7WznBvBU1lw0VLQQw7fQ/wFcl1Mvc6Qn4Ev13/P9Ixeu6sWsL9ORewuC1mZdzZm/gTEo5/83H1Ki5vab58BvaXChhjE3zKtb6RAFbG2h+xMPkvqU2bZKag/lI3aEbE8KYgPrZmsZ7MnsOmrdu4BvBeA5l/4OWGNE1q0IN8sWjxT64DFdCm1ivKVmxlCZ9MLceR+X7Fpg0cJoLIUoGtAv/yendr17+7TBH7WT39np7tTVvXy1btE00BtDhYoy8jump6U5DeuqScRajI1fVRor6Kh1zJOgCdiZRObRNlSoelYB6Tk/XTEEeaSJ6aOZ1YhqeiAzLqBb6W5lwrv1YfogK5d297atAXf1P3ye64Az0M0QfKRr8Bxobevom1HwKbFSOK0974FJR4dJmPrmDM+V65GgpEod0tgw2WG3Pugrjya3j1svb/8y6KcTLVjeuHQGxOQO8xeoAI9iHj3yMgjysiIQ+yD/XnUsr/rFX6PBf+w7n4019zPdgOxmYgpaPvpQMM5oCFepZ1kciTDwf6bcXcDTezxINtALn3bW6a/kqwl+EfjIIFpZjFeblj0tYFrBbkL/+3M9xTySEmTFHRdpEYUMlOnW2CSDelKBz2mSE3KAXuL+djAX/qrg2XkwK3ezJXscUjsqujycpgINrU+UWqJEMtjJKM2whYHTZRaE/ALR7jXT3JOtNBfNuj/uQJ7lNZ/NdEy7CgvyImDJlORLF/1Nr86A/lpHeuN2RvEVwJxm5+AW98akbkqgHwUdCdiqY/KnioR7kC3EBv03S07J5tWNGuO0IMPwAER+Uzjf8sx0Oe078Bet9P/5193Hm4D7sw9E8hvohl8Be3JABoWdALt+U6McjL7I0WEUGajoBk8Alzip9ZmA9pns3dSG/KUXTrZit3JBX5xcsZvzM2eiiYOfr72tt+A3dnarCnkQIg3I7dxZPf1ynG5Jg88aJ5DXjDnzJWLxhIAprLUN/wsAh2fKVfv6CCjxuFjOuAU/AGy0iyPoeUwhKxqABVY/O3L9oE97SafE7j/hntcc4qWOYlVO5iTAfn87Iu9RQoxbAOMwIcKH5lpDBS+lxzVmaIuZVQK8/6xfm6P+UiOZmdJOf7zmn4+4o/tK27IOvA3pdAut/SmMe+ihLcj1uZh/n9m3Sy5dggPZGQurxozI4jNeXNGd9BS5tz8Ua07iM0qFsUEcdD/FqbLjc1pOszoSMmnLF49xfPQCCkblz/UQDA8awdi6bEZ8UJAx0E2u6dWEmPOL6U90czld+BF4MJu4XpaUgbxr09+Gj2FzcgfhjshPllgsxfIQRWwvQca7hWjzHs+0Hag81dudhbnGVtEHshdack92EukdPOEJG8pB+WVy712QIkS203t8Hs+eAkfzY7l25VHpUudy5pa3UfpJBsh1Eme9Vvq+i+dcgBG/8j45U45xk3fdXTUt8a863A293aYN9ic4/HpcBTgm6N2M/4PfH3uhVg+SaT9hs0XafuWLJILfJdvYOYVtOABNJ7VjInDgtd+8/mtHb4ewJq+2UegXHU+cu43qHu2Iwd74x4DrhSDXXBrsx7WJP7d0xlzWkXdBju920CGNnuEgUUrBs8xj02Pii6q8cv02rrpWb36K4EJE1KOSS/HxOxH7jHcBTNrFr7X2axqZ0FqajjfhOlQ1P4gKX9jyA/EeHHzCE95OC3Y/QfsjYDVPFmPfODhAvbd34HBKzx4r7jhmPlvewtNDbAW+EgheHcT4eSoEL1BjhmZNWcS2K3UfgZsitNI0zZ8vx+e24cM2JX276aGpmgsNOYCGNAuIS7fHGB1p+W4w/H0yil34MefPSio1C1N7cVbVjQuxAEXmPEMvLRpnMuzBntO3eSZ691dAVcBUzyPER+Zw3X1nAvV91fwTzOznR7szCbuRBq2NTPBUYNeOuX24Gu5lrxxIO4AX4UPZf97HHm4aZkdwjWluNBTGi2R6B+rOWNto9uDrvqsfntG0AqxGnKojmtgETFMqLI8YJPu2tjcq21pQy5/1R78gE/uZEwcyDkhYzZKI5mU/B/oUl0wSwnQnX6up0tVkK52tZ32EpJxcqldfFUo3GDXT2S+ZTicj9TtkqyfCbWBHVbSH54357B2r7O2Lh3J88W1v3szn++gHoApNT7kCO8p6AnQdp/SmUZ+Vh8p+HFFy3sL2uuwGl83s6DNbFuZgdYzusQ52AnCuen/SBZp/cVepx79oB6lzs6llTuagm698bA7CNMjEk57DPejPpvZhGwB3kdqSK9HloTAWQT+3ufvBHGausrCH5mr4X5KX0VmL5TamJ42PP7t15uPYfKEHMvM/Pl62GwwTw75gMwszEWM/r0WcydHM8uYg2bZlinthoNTrsfCP1LTf+RA3EPdmK36oxKbpR4njBmiwOhjNfp9Hv6d+Vbg/+AzvYVD825XpjVFLC/4BfgYH1YyE9E7DetMnc4P7iGzrTLkYuOQCM/EIqQCK8nRxQMdZaX9uyeiZsMj3XFTlx6TXb3+vXMoy4Ln1JJDbmuOIR7ISH0y0IjA16kQycD77gK+fQU7uZhagsr00ojuAUwjeW89ILexYzF1lY0h9n/Z3JoL5uhbHvuCR++QL//mzxcS/reMgI8j4KYzPpE+ieoVRUfkX/a2qrjFZTb+W6i129BCLZAbn3XIF9O/uYd48ft+3Oy8PEPeGmVQOzJMTQcrbZaW6T49J6/8RYBY5MFZxhJifBXyQ+ZsE2BXDfEdPPXLvM/JM0pyhfit4b3JpPcjLz0caKsG+5H57bp/br9T0EsHp8vr4bc26K3Voctd/FbZf/NtQrnu1r1t9hnr8uA8rmY+DsS7N4jDb+2ovNzaIjbqSjmlxWL2qILMk8LbKMhroKe4mS3Q8n/3Kvwy79HDKvi6tr3U+7W7cCf1ICe+ckp5cLsINEAg7exa9voIMf6nPm3vJn6nLjlha+Me6c6SQjpV9OWBLjixc7lAvHmU591iah+bgvCm8HsaJZyD6j+i7Akx4NTGoP80f/XCRJXgmlnJnsU+qoTNK45NL2YKfhLVjvqureZZi9JTnC9YTxF1k3nv6iVF6YZGuw1mya08f22qXuU5sy/ZGj6awD8Axx8k0mkeoZeu9ErTnzL6Be9lVUKMb4UtmKN8wkwu4qbKSVdj90n7KZc2xD0+ufBspyqaBbHwlZleWVcfzV7vup+t0nl4lZmf3ncu+OSBjX81ME9a9Ct8/zOwxJxRfxE9SoD7L5WVbiCmyByRLnXKp+RkgejiCk3AauY95Prf+hfgjJ3Q8gc06RG099PMjwQG8BTwpmTc+MTrvWhWj5drxnQEvydUDPucLR85aGywqUAEvJPRDFowkdL+cqnrHyGGLQRNdnqWBYlQ2FD1nbMuZBq+jYZYbHpDUWMfQ4KVeCy1/ttDVyhrKY8CNFMkzf7UuAkT0EALgZwi+ZqtR8R/FOp2tP/N299m7/Z/e5HfF+KW4FvNs7G0m474J9NJBf55zUCbcJuzUpB9i/7Pv0z/J+m5yIZl5sMMOlEnoGf8zDb7BZurmb1ITa9nofbk3B2zNTFcgyternzYzmmRmpkVps/znIZ4APZ8VjHE4GE7EktWIPpe7/RiOaDPynoHfUIW4PljKkJb9tvrMd652NW4zm+gW5OuQTJphvJ+MBX3lMQkVm6LSmA3fSahZWNX+hAXgkpnq5ml0YblxszDT/P3F2PvIe+YuTdvWf91B//8ObgTrgP8vXe2P6lDEryqCdyiIKEGnW7qfZZjPZb3JkrdqgDtnr97qb54bdB7KcX3dPC6kuED0yoFDezv3SR/cVR7xgR+F2g7LNJRpdQtV9HLH742wGPJsxHpwiNQRKHyhZmpMMwzj6e3NkwS7ExniI/9keKwPuuJgC0q5NvlANxgESkhp4iBv2qWNplzcY+F2dbJ7pxDTgl2m4zdXGp2LIrMombvB+Nv6ccWxJe0gcU1cxEH+3BBqR6q07uZ/XQkTG/y4MsDP7/QIEFVj02NQa+o/+r/+qY9IumgzdzkZzVKdDBbG9D0aWaCANNaR8oc0Iy/9boy9MZ0DeEn1Adn3tpQ/ZkzdCJ66inow3aYBonYE4ee1wKPMRdjofHrTEoS9wLX0O2z4fEUwzJipKJMTx13lm+1QkyASN72OjKzp6WlCB56pxp1dHDmQz12QXb2c1EkoAkgt/DMUpZn4xWDRsSj6f2D+/6apeOSyNwjzI5IPXLny/6dm1PoRzZOZ9AdtzrqBoFUVaNJ8sFeMbAhcX/P/wMzpbUU/JMF6iO3kUX6aV+h3YYVCnistCsu7fo5v5jNa2lpN2IWTDTPKkQOfc6B0L15L7D53QnTW3ZFJcagUUksTW3bJmXyyILOzq0lTa1lVBboGdAU6vl+N/0y1Jl16oCOZps7o/+WP/8CLlCg3XNnd2XRdg+6PAJmgTzIfxqBbiko6Grc3VO+cyj9WtLY/6YugHuPgozxOHdAa4Y8qml6xYH6NPusjxHJOcrMrP6VW95rDsw9ZR1cK2gMpr+JefNJ8Q/YyjHjOMgoP9YRxKRx92TFv6U5JxP4QcTENqYjAXn2u08nARY88iJcuOEvfVkrd9ISEdNzuVfCc17Py8zFkZEGIgs91surGuwAh7cnqGqI7wqxUIU0RKyN1FEOXQr58xO7uw0veouM4QNrecksb8+GrlJM7XOuv0ttfs+ywZCrSuq/NKyVCgWsiax6SAr4nB2PdouZU7F33m1gvohH3KU6szJHnpXdVZnWBzpYoCnsQLo6Z7Gigl+A1bgQp/lNRp2d9YkrTA2n7h7S8V4adqXs8aQ9fyOMFG10eaTmXgiAa7t80hWVppqwsYHY4LnVp3dH6dJRsT7Ks//2O4eO4Qfvtw8VQmAX25yESOagHU1vnbT4ldh/dV9u26O72acs4+Qhzl0GGufb1HGbszbGHvfqLIdm7ExsQsqxVgxauD0npv/JP6LQPcZ8BB/7xJG+09g/Ud5RYDEGuSprqX4Av7ziBgN7y/JoscBw5mz1Z7ObQHKdmjlg9dADw6r/zvec+aMaLI8UyQ+DXL6HqNb0XJJRz/DjHuinh5ljKrTaNDaJ4feVmVte6Wl+1c5tIDb4OeV9rXVPKTqZvcKVpee8xz0WGNgd71WI89Iy9djJCXJyquDBQ665mzlk9HSzpanfi24eK7CHLXuU0WNR+v9R9W7LrepM1/AtsTGp+HDaIDA2IghtQGeAXCEgMLGJjbn6v5X1OO/3H6yquWp6GiP1Zgype7SaGVVRDr//ZRvAEfKT1QJ+VXYpsASsIWux7c2cDk7jtBpiXdkSg61ytkrSuC3PndujMXMmOQ+awP4Anv6t+sShln2pBazLGB8TrjCmeKGofNVUAA7VwdnH4hzGfsp3DnCHndLJIthcVm47poAHqqIE5Dw/AY8gabWidhbejPh5Bnum7rTS/+YeQP7iXyVFhaC4SoblWoppZO70wmzgB97j94zVsY+/urnP2x18YEwRphJsqKafG2k3m8pGkONnnI/lUgudYw2ApMMXVXD/ZPdW3cEvtHfR2d/dKexZ5WLNe/Q4B+3/MNvtykR7h/2+N5QMsA17gtCx/pofaWFm0+LpHCHAT+RCHOuBB4+WQora8lKjiXbWyobv1xRplAOmPAf6CRx5hf34BoxwEv3leS6ml21YBGEMuRpiOAZvJDEzPfmBJrJXO6MZDTFtb7Q+ase2SzaVBPGUOST6nYFB47bqF4hLeEyGbSogh+RjAvEsnoggsupIJtnfzIXvo2vqmeMb581CotjOWYwYm3rgWDN4sKx6ZO4pfzAivtH/gRzc17a5P7d3SUC6vIf95UYLVwPvIClg7ZRE/57UyZaKqRF4/wsfxpD/o2awHTN/Gw92UIp2SQqIWwG/m34LwHCQk3CGw+ZJhjkVDIc4fDx5sP0umWd6B+2SS6y4ejJm7+H7csVuDu1U32htqehPKzjLfR1DHjpKyz6Roo3ygRyPTv8ozZ32bz8XYSWfMMTkDyawOVPpVXHZlNb7WjLLkWJ5mLxs6unSfJsljrTwGn8oiAg8nB8S8Mnr3IYM8quG3MdD71i55UZFaAM2FQGfxRA3M+CBR4gCNuSZI9hOyUI5qU7GuenlKcityecOENgDnmFmOxQy+gTM05hzXTcNZQF594UPI5FvD7wDvDeoQ9PtdJ6/PzLYA7DDUYmWE0cFtdHlGqSmEcT/tb+Wut3A96Qqf79mgE+l0/ZS8Jh8vW+Sr/ermckNvsXTPfDi4W++Q5dG+EOO8sjdnWjWT9fcVWeuKiCefgP+Jeq5PQDPO+Xj51oDauYDs1mnO8zsoOmbJ2DOvgKelQ3enbDpUHeNJbiphZTzcf3cAGx7vZdmAeCYAqOMatMPCzkPrbA+BPv4xv04goT9yM13FjyshmVVawu2F7t0/fRMVWSDVClCb8mHOCj7x3pybm7GG6cEzFsHU5sDzn49S7rxvRrVYvSqE8ACEDsh3uMfM2sl5yqWZjZEuBwhl8w5bU3dMUm63YahzysFbmz6SM5jYjM38MBmoyraTZh+OtJXKeDHSxps2V/+GqavvEDmN6IzYPOyhzj43PZZl1mVFd9NHZGZX2s0M0rL3gOa8nOf3888LrJRRWmRPc9Mu5U9HZjjuSoCrAfc6/fuqffeeP9/fFn1n8BLIA5Z5Btyy0dpt/IMOQRySQaI/l5ZGOwsTqgPNmyRGbBiwMHSKqpiamvnLHCM9e7Aer2nvLnnDi+BH2wSZ3PHEX4AFnhhgF9NOrAPoEkZ8MvlwsJpwnZ/V6vqZXBbgQP+mJmdzMIu4XGG3d42PLp+Am8qpo4h7XHTY8I8H2zUM3eokFvf5LqjzE82qvurnTvWYFmyN7M+LpvaxlZWNFatg+U8AhZc/+sblXz3U4ePO2BqnPotqTrAwmDrEGtueYDwOZ9dyJVrGsV7IuDZX/NIIa5mq8pLsbzwfAXcb2O0mUTwWGlndHynsjF1kgIVNTNnqWoHceOJQxlgx2CC6Rvv56xZD67k/37vY2gxgV3FEHflLet0D5x7wiH6+Z2xE/xxcz9lvV0h+Z0X6llS/S058MVOYRISTWzTwxR/ga0PDHJs5ZdXIZhbhRORpnvBzD9fFeQeOQDOCBPAPrmYnyJYbmloVzWfwPun1/yvKg29n9QHvqfbCXh0AhzlG7D8JITHTN1YE8nSzLI49/ZXLcjtaF8ePOwhFi4HIfAO8pHPLXmtGP+CHAF2KTc0yBzg1oiNkyfX1zzfm8uf81djlc45RDns11T2kDsGFQH+BN6GIZe+O4A9rBrJB9gorHXs1WM8Y65ywVUIPEZy03cZxjIRCDB0bEF8+CFa38/M/qZB/IejsA+ZfmB3QeN99avHhu9K3BzAgAXEokF0cVghVNaUXeV/WvUXeGbEhgVogJwam091+KvHVqaB0XjBVR5+unWxe6iIy7p4za6av1nQmt4zwBufgBkOXtJv77m7kzRSDrf5kfWzrrQ5X+THxpmeDTMcmuyxdTG9+xsJfpYV5l6r1XQ0fTa3Z53PJWBgTuG9yCpf+yWlbWrU4+X03OanlSQyQIJx04ejdWlmoSDgxEiNSaRXyOnA67hbIcj1+23H/cBhAdjKuNtXkD+SfgNruFQi8HrAuAfASh+VuL3qHLyGouFoyRtgzzh30D0f2gHih0OH7SSt+YrZloEfxXnvjefo8MBhPCga37CbPZNgMrrqY0oJF4XenXXmns0860IDdvV2gIntJLBetVhzon/7FX5qnxf/zYAn8LvA5xzjX5fN0ZGZmefLHcjtVgu5z2ACM2iGAJafsqpTH/B7aGVJL/V3JsZp4NIHRfG+HC92baNXnL8m7pTmkCvOwczkiL+AAa/A6U6A1zrwubsM1IZbidH4OgJrt5tAx7WLZ2zhAnLxpmTqC/CN5AH+yUMicz9YKod81Dpb2e9c8fn1Xl+NPbW1Jhtc4IfqIVZTeSB2vJZddiVBPJp5jLiD56/4S4pyA5hqwwMy5JyvgHUWbmGPDxNNg/nUOMw9G3+0tQcx5KPxG09Q+X/685TBv9k+qZnvYiVW7h7uhCLIz8sG8gcRQeKlXLeScbNe+zyQQkGuomGbJcEN3sv0XwMP4/IOWMXi7AY++G5B/PFyW3UQ7/AfdxiBf9uN0W9IscOfBn8fLVNzTwrJlrdS6H3J9EZZE24C9EHZ/JGg+DvTPK2i+K4C9igBQ+YOkYA7HcrlKQGqKMfEqYD3kAi96uenI3BG8O9j2S+u9NEojd5UKEsceF8VQ1KE9kdpwbtHbQnOcK0CYu49WM4utqlNoW57zG0O8Vt+ADbwBZPA3fpnzdsl5XjB/E8vJazcXdfwicEzihxyk9E0p1ZgZxaOIb5IMpBdPcwj5AK/5MT0iGLC+k0NPsKcKSQjXo4OepAxuTKEVjY2ThPODmD2qdaTpE78qoN9q8181gjF+Rjb1Yhm4EelHPCQ+3hshneIqV4COPECuPtCtOHhiBNhR0JPgPsB/4ytqcUuIf4+IIa8iaB94i94Fi1XgYBC9/JVq581++1PYi23s45PVMeHepxcJg7gOzokrHGOLonx2LuCNpCXVZwGqFcIfodQb+eOeSRMLMB8LvbbshJ4c/YhjvRzBT4G2OdwVeGrVv/m1bATpbVdz1/bDwKYFTjO7SxaoYrynlB49uBdCeCrHMUb0uNnJraXZvy3kSGOTZ8aRsCJQuDqIekkPbiA7SDT247w4y86bK6yYK9e6XtdMKMzvKqOmBOMD2FqAiCuHt0J0RE7R2d2qY/eIJ4nKbs9ykI9AOdFvJiSzAG+h8iRdugmge8LyIznTu9Pq75Qexpr2Eew89caDoJtXar/PWqa3Ot+22PncwP2fsSApbGzeAng6Fx4Q2lJP+PTNQmMZnwCvo6EsskmLSAuP+fv2syXtI0O2q9+xw8ZtJkFHZk5S6/Ya+oJyRB/AZ/YQSzrzh0vILo82B5yw1hu+MjBr/FHXQC/dVpTY24w/pE5Zo4VWU+W4ff4zs09bNRfAVMtUpjawziuw3lW/Z/+vC8AE5wjQBfBXObAqyFWyLKfCCC0GPhPdFrVgyIUp/n8Vgl5BM5/yi3t1r32szVw4O+MtqaNkVoS28wyRTas2yqAG+em9ovFr7jxYIPpKVBHjCbIi+hImdcxwQ+lzR+KIi4BOdQUX8AmsnIA3OXDdzHu5oGpkYkfjcYJQ7uZBBfIb4cnd2QFMb5TRgeHl4BHd6+40REz87dvAL+yOwmDtYqkmcnaQc7cNDmsY2jrk7VxRcgHiIXh0fF+a2jYHjCl/ufI/btbioN9WnGUicauOb+r4dMrAc3lg8dzvnv1m3P4xAZ3yHTTfvBguuJI40rvgjws7+f+0yU+e2QWgV1smegUAT55pxwdKztus36KKZJtDfGM25D7UO+QVWEzm7txSMAizMj4p320yxiG//gNQLYAXv+BKfowHOM8Bi792lZGMwfwSgh8zK7W3dX0JZYWuVCxzVnYGL3w8SyM5vzkZ0y3tPtn+t5+mv3cKvZpQz74m4WUBNsNBlyYRIifu4MjC6WlFe/qCNsqWJ75SgwjdfA4fTT9jKoIf5GV57k1VU3gJcrFDunRIynYBnj/pba1mf94rUKP498ZAP/Xhwj8SOYFnppASoHISa2lgy10ZQWshqvMTI1D2cWkBJvjGl2ScQrZby9QbFGIpRhpzgad0k4u5h6oCZHpgwRuNVUS4lOyote9+U1EzfXkNi5+brmZCWH4K2CbELAyBv+IgGN1TfDbg77Ktf1umAZcQO4yRE8uAsiLcwV2LjIXC+nMtzTiOXCJAuJv23BVgc+/sCjs/7aCnB4ry8amnw32D/5fV8rafqiV74Fy+0drPsJWhBB384RNLu14L02tY0cOVYc14DjAiGzJw8eTBF6W7m+LGuQGuLupb/nTPzxZgNGG6YTD6Y2Osd9Q/GSBNxxhxSD3TWauBUEX4P9yrPe3K+DLwdREA4Y6AKbMTqvMcD/djhb5UD0ZlL44KQdej2CNxWOth78ZoLTsIDfoZmP0KaXROVjV4eS2l9qX5ozjCX4z1cP7ozG6CR0CJLp7o/ttpMLDmgClbvhuf3rOhfx6X2nfeKrQNyEOzzzSVd4R8E3vhdncymIW+EAiI7VUWraA2Z8QD+50BJxSIMBrc56aGQNG07xfZu6oZyXmibm7CLttIrQ8UU5IEk0fRrMmZ14ANuUCfjzmfe9x6+8cOwZ7ERWN34S5nxnbEnisBob8VnUScK3pE9AdcE/JLNtJhjaoAJ+b+0q+Ki4ESSB+2lRcHobPAm8KjA5MM2irXONjE06B0YR69cJw1Cz1cDDn00v+tQX8qT9ID7wNeEFS6Gfdof73bPJrG4F/lr9aQwhBEGkhx+ArcNZQDEZnA5+kyzMVLlHlmpmqh01Gdxl40Gu26TNZ+ZcMtifcLw8xPO58VMAXeNR0SDd+PNW094BntikNPFy0hAl1PA+8q3u+A97h18BljLYmKdScB4kF+HcvGLrkAbmRFXCLJq94iGubgd9vV+4SM6PMBT8GXIt6bFlP+PNTucinLqA9KivJAOfu55MC3mn0PBPwcbA5NxVqX1pxkoubJQP7qpyNA++KMmH6Vf/qey/KlnndkR8WxkUGMRjWhEJO0szkI2awF/pO/IMLXGUvBr2mQXIVw+F5cshQARdU4+dVfm3787DZAIY1mq/xWU+pwSjM5R746es+hQE6KhrWdmYOoal/4mPw4IGtaTDbkFNvZYd7NWRe+XXz1EpyiK+nhrNH8/W+MM0BYxnN251Ig2VVfXOtxviJO7ly2v7UwGmZrV96KatZD8L0jTAcczNP3N2dalsG8mn6okr75Hg/dbfTZnYuXrFdPrebKkzu4CNG3/abh4hVqHePKx4l/1yJhW8nF+K94/Unp1nB9/70YAGb56TP3JRKfnInTwh2PQeQwwGHNbo1T70BhufA4SJTH6hCbea8Z43+fMpIQ6zUZs54REP5IYrp52x6ZsNPc7/1wQcvY0y+cO/3OeK9iPBcF58r79trwwHnrG0EuT+DWJUm+XaBWGvOnUXJljChPfBAcwdzeVIHHeGzbQ44EWx7o4Qnat16XLN7OQCOc7mfOH/zK4/Y9KL6n1YK/EIhWdWC/FSWKsQQc6oJA4x4IuPUlW57lV3cMUTu/L9ZiY//NE7mW+0HVh20P4r3d+7LQ23drjiYCeS+i3TUK0ZRSXffeQjYOJ9TyM8byXSgzF32HjBF6GkJfo3z7aEJtt9yJB+Ck2cKsT7ju7WJEoPbqmrEFtgYxEPMFDOa8boyfUZneE/KX9p9c2/0mok2e6Yr2S+aFbsqGTVNXMxLCkjbwaa3aA/PurAgRnnEnmdktLNQLthieKLp6/fyAAHTlYChdZR8Af5z7DUP7A81NC9OBDbN7xXwscomP+YsOB8x5D1yTbg0uJlzrYQYY+BWfGfmMplZC5B7dqYG7Pw1a2b0jLnaUza9ZVzHZv4yZXJIus977eCSjPErLyPay0tu4Sv3dz+NNa9nQJjZiIDHfnqwbz+AcZxqAB7r8286YKcedYUFFzVqnWbcfZ8cy2u+tvQ8kDceyKLpZSr2MwM+SoDD2bCm/otXNqY3kuIesPUJEOScf80D7M8bpu3b+ev9bvRXcEh2yuXPUoBPF3ECWNRLo4OFC7STg+IlkzP8wjvkUrfpGrccvBNmbWLuq7B7eZ19bRqXo7xoo6TDpQKuDDQ8xM50zUYZgAUdJDCdUqvjb+3LqD94Ed9IYTQ9dame89vJRXODPq8Qfz+kNd9rGwHtBM7Zw95YHPAOfs13GIED73/vvyy1Bw4TK//fyixvpg7+wcwz54gWcOBrMuiWoM8N0EpJun4FHhQeLWAswW3BIj5yh5A63JrZXhHkSJtCRM8cEpkzpte5DeTeG+Q4D977lqz9IgIeiCj2aNhvzPw1YAUpDwm8X7I52cED9j6QK8GQd8E+4gQwX2h0ZyA/Gi1zu7KkrHwZsHBLT2v7VfvotV/p2eepWuNCAdbNCn0E/7rUQqLKkYfciQnvIY6F6CIiJLgbi+w5g/+SSOp+TRzDiWyn9ts1Ca1H4gSA+4NV0FgAVj5mHckI/b/5DrLY2SJURtNuOO/nDPZ7Tn7P1VDIiuB3lgsdJpmMfMntndEV3Te+zjKwoLPfZtV+G6i1zWS4/UmFLE3djdSfa+L3d6mzJRV/WtyAoduM2jEjjumfsnXKNk/+tWVlPpcKMHyudZx08pRGxHAKwGT6jQS2mWUVE0YCkm9t8L+vxnl/8q61iYvtnPM9D7cpdRHYYfCqdZyqAPsmtlK925CAdzRkGxF6z8SXGRlaJHqEjjZbwIfuNZt80S+AjwwryRYzzw5beiRF2wJ/Xc7i9gDORP7T55v22GoRCZbX+fxBhfEGOKQDOHWv+mnCw+VRQowErHIkXzPsly5KZh/JSFLFTZ+P7RG3tRv34KQUfydj80y+bpAfsd3029JoXGMdf0FuvQM6d2S+df7iPMR32D/AIVKqoHlypCkb+Mg0npPee5i+cVnwK7DxTfbcapVvzVyJvSiwV2v5Va7kxDihwIXBPpFHIV6cw42p8WVGt6xx/+ZxhKb3W5jzYq5swE0B7PkpG8iX8APXzP9jYltSH20gq6/1urvjfvsNeIazgMfK5EOECRtlDLGLCboLAa9G5dhuIJd/sDCwmg4XrzPzZpRdHS4u7qWU/uciot1XHiwB5p8PEbUIsGhodNrPTFcps93MwSwN9WrudInedawvn1mnLeBdTx4dVg5/J4tyVRGPiVYLRvJVz1Zwc/dtTZKGDydnqG8i8pH4rTyHlstGtDGYUrL3DWDUtxxoGw94ng3T0BjtLK4cXnyCzxB9DlvIQeieMP0Ge3wHrFDm/XL/fzTGTzSEXR36p0DxKsWniRsuBXzIzVwShnvO25EXqgBs9A1xaDF3d1xwv+J4l/flxkgwVwXPE364Hx27IGiS1UhMPckBcp85P35pYmwSS294yC+Ct3fY02dixw++Mvc8xm0T9FeC1BH4xYbR3cQdvRPiAv4Th8rGQxURt4l2R24RzMb4Dj5iRPbecsDVjKFnZqF7Ze9e9YfAhPUX2IaubF3Vjn2rmRozazJzbR4Q83MZsgV++5SNuxni9pgErS8489KAE9y3k+lr+62B52isB+VVI0qrYbarTolsjAuJyOt8/rcnhIfBUofMAjs1tcc/vAD8t2YbYer6A1Qxx75UrrrndvBsLLYATyflQKpGLMdmsDbnMH5U2mgdzn0zTnfutqn0IbgMi88H+7VfgP53IcSv5bdunE/S1LXUoV2eCz2pQl5pvv2pbExzHVilte3kACzGVwg+fMoHUgguP9Lg8WAI0GmomSqmm3I8Sjq24lXujGboK/bySEKe1hjyo3XuvSixdx8yjIejlV2lnTwx65+1/88pV24D9kVnoU/K6YHfGL1ML02p0TzWBe7nDdY750wlgrUtpa+Tavh0mJhfWFTX0edaBfGe9gjeG22wTzTwiAX/1rRte9hfgiFOAla+kN9eDo7ICLGccnR6vnvE6Pz1E+S3zAPfDCA+PyH/aW7rr8rFYWW1zxeeTwMZ1F+zU/UHD7g2gAQGkVoKBc+pQgt4fOOd+1gmTC5N2PbVHnytnw0G0KnR/R2TTUr15jxYdwhPP4mWZjZqRSxegS+mwuev9zKaLGm1xj4Fvzl3gP/AHqR7uKdR754cWOOB6NouHdV9bmRv5mLKKC10XLlSl+ALJGh3MgQ/4q2GOHBLIgwxNXFUyI81vL7sXjUws5sWfIZ3mJVNzPkCBx+Ab5ZfDTAiTEtYfzzjfO7PqK1MT0zdMTMT+wm475Z06sP0eeUB17mLb2BPRemqqumnjtL4LsapLLV+1ekd2EBcZjQtUZuo3itNz6OybMCw+M4DFeWQk2GdAEuQWHAc1WGb1tHOnO2WgPNwE2JbGH9HGuIjXsxsc8K8yZwDVOHc1mL74g5D4sY/meXBKtjfLFjSiuqh7NsUd3Gbab0qZ1poaKf5oEtY//W83z6TkGdGV7jqYyd5bj9w8LvXVxxyTS0IUl/vwKnKTQLc47T+caJMRNmzfN4A32X3zJG07mSbI/0B+zIn1pYDf0InRwZNEWMe8Stjmw0elo9mjE/nItmYnhTTDwCxx6msz3salvdKlBB7bYTHDPBfO/+913Mb8hHyhrgtyrLuOUJU7bdAWZAH+dZrtHLSkGzO48Uh4y6qnYcFew5sZLtLAJuUGv2c7MOSA5YAjI2wOU8BnMSG+MaQPhm92Bdmg9/xaBC3KM8e5p6O+zhVLuCtNdg0Qwa2yNmZKyqEdzyHgDs7YLr/9enYia/6c98bzae20TGr3PbrZG3fTN+y8U1qNQ+1yte56ArPz6Vl5k183ksdQ25GWn3NSQIhF2zZqyjaMcvOSYCfMrCAr0KoLdSDuEbndvYqBvto7gqcaT5ZD+Ds276E+NsEyiEd+cl79dJnQ6be3vSeYXHw6l6aefJfFbMZs1tc9yanATb2S7AH1J0FOmZMW0TMYabRjgC2oxCHM9EbLVpaa6Oph5402sWNZdnAA2xuvzD2zTLzmKiZGWljo+8v645f6nF3O+tyraK2A7xol4PlUCcOyiF+K7lOzTlNBetUmRo4EViYT1XZezbwYP57Nm10xdh0yISZV9j83fmmweJnYtGKtxHp4r4JD6aX9sotCXFiAr98f3CItYRxyH94x4O5IoFKIYd4Z//fI/ER5gi4Zgj/do03gNLMfecoODKzt9Ns1K+eLHPePyaDmUWr+rzb7QUiQ7k216xrF9Orf/aVY+r8MyofVYh/mk4hsh6uaaQGc7dNQtwrFv+Az7iwPw857i7ATry8B4zgoNxoWL/uzSFW3rLhcJfjxfs9/yvQlITAS9f+CqAP7JLjKkAB7+20RrrEA+G54x0AF4cmTjAd/2DaX1OGTkm0G2tNiOCmB9Cc0TDraO++XzWBuR9cabB1gIdnkiqfuNOhec5C9cFDPuec+a2b0R2uhglXFv45F4pB7jRVpQ8V4rRxjc4p8kTwWE6O7YH//NZvnEWrYd9byIUvfLg0w7ZPBA6lMyeAnXGpJ7DL9susqYI/c5eXgKUPqkexELGkSF6NrpnRwz/al4WOh2fZmXlV3FJCR8po0tM4kT5xWNfuFGD6V29FYqmoiti9KlSlRgn2pB3GFkvoqYT4/q347lB9bbNSBKY/0lNFW0G+3Zzc6UmGyfTrAfE9PCD2/5Dw/ZFZ6iMPyI+psUpWZeeI/c2ULMV8K+32h2rt58jM5PIeCZdH2O9EDEBiwceBJ7+RaFcAmQ5pcLgK2Dy86koWBhOjkY2XJ/hbmAsbM0dtcLTD+RCPtalftP60CEaSv0Osnjd0/bR5OH0wv3fYqr0z5WUTfXqlQ2jDOU15+5OyTxuw8ZU58pKi3UrDFjgUfiaDXIW5N7aNZrOM8jXOsaOsE+SySrC/XJkH6mL6dWrLg/iKLs3AnSSfPeyjtHa5mUVrZuf52GmLc0/cagQMCtEa7MuikHfEyD/yLt4xAeiKyqe0dzbX8p6vwcrZ5Xrm8sWXZ7VisNHLRrro0FjlvbbQTIzu9NesgYP1xMztBo6rWLJJhN0lzHpwATioCBbiEgEYceW9/BYUcnQhRVOwO2H2Qbp8xmtyFeJvdrCZ5/xd2vEp13EqhR6OrnwD7r2h1nZ/hrjZMNkBNv/mmrRH533FDnoo3/TPx5XqIDitu2/guxgHi5UxFCn6uQFO5UkxZYAkN7jrXzqcV+XGgNd5DPjuQa1pqexsI52lrcbJzGP7qHozA+9XhynJ1tahxdQmQ/tUIbkYHpuE9k/iE4+ZO5ICfMZq98ClO9GrfQXMg7HpVdtzA67rEQ1YimKddTtT17dkz5sLa2JlBUpYkFnYz+7nDt1UJDEPb/ZZAJ6nLVEDxoBzAzVOOzpMXeWrA+yrWzqoTwIPchd54uf7q1bk1Kyf16MLXAWxhQqcAT+UfIg/pMYWXeWzooRWThs0Vvtg8Lsk5K3TquFz/+mmSgdnecQBWzOIU0pI1LjZoDrwH8AHiUchZr7wBvcJTRmsmdEhhhhCIvhNEU8qDj69MkDyEOGjywpYNDJ1eGxA5s7qC6/qCX7uQB7+MVqrNVIPueIqGeM+W5tHxRKrHDQyM5v/7gIE+Tg52zdT2yP8g2vqZpvx8Eis3pKd7PLV4PvN08yOMefYgDsW0zMC/MnoQ36fO8BxwGlS4LtVocfcnk45M5MVt4SOLTNx4BWjAI8Jww+SFTl1r4zW9r7mJIU/72snsOrn+xX3D8+8p4xISYv4CbEaMIe+Z8Azkr65n/ulOjpTT1ZitOG/+BibvguvFrPIXPR6rzduT1WymhoXIKM28jj4vqkPg++eayfWgAFDJdCHstvvXOs38HXTo/F7v50G26kqppj1skg63VaAS7IudrkbM8jh9Gz4cri87BC4Gb6m++0tBfsljr1URXwU/ZRUPikgpmwaW8fwjEqM6C593mKrTc+9XMqBAye1n3mE+8bOnMTMzhtRJ3xU5RZ/pr52U18O1LK/XjzlaCGj6z2SVZbMQRnE74DtZybXHeB+7sB+VKK3rpnQXhNK+2TvqAx1APlrU6HEVsP0OxuORTIznV0Jwt9cHFzltPTkNk9ibV/azpvSzHi0iZF2fDDArCcXLCKc9ww4VWlqeNz4DXBYYO4Mj04MvLONcYg/8v3c53brNDaJTc8++FNwcizgIru5FqbDRC8E1ge4+0vb+ZqP5UoLYifOtIpA5iIw9U2LPuvGo/S/Xuhfjst+Z1OBL78750IGwC9OgLumuoe4L6YdK9RRMOxQxFfJ1Iy1OffhEA/n1102gvh0PNqkT0JcZlZcUi0vTci9DPI08JGEisnJfXSqQq9UfWsDdgN80d7qIrFZPx9/5wgO26ViPK7NPJcQ8Hah8X8zTizIh3/zpGLzecKQS4y2CEM3sGWv6QLnHOmjKMhdWjLOelsovUsE36E0IpvcIbmMtNFhLxMhJYv4dz0s38SeXA4YGvB4S4a2NZgAONarzzdIxmDhRmfP0uaO/0qo/MGQwxrdr9nYPKiL3V+d4Z5D1owPwFdE7myFqcU1Wu4Z2JSZicLDpVPhw1GaOU1ozxWVbw2Pac7jV505hr/36mGridM+z+z9Xocac4YnUlwgvrU+2EGe8ezK3V2UUeU2IzmklH+lfFcCzyuTUYPdxKmZdZsU0swVN7XgNmCe9Twsp8Sdpte9eeUQwDM2NVoQIn93aa8uTdGesBVfAD57kv/bnGlyx+xxrceDYzT4If5A3GgT/NwSMcb22W8n4JlI8t33meGWBNsCs9v9zNrhBLvzv/f6T19U/4N8/HlPwukLcK1Fo382jvoN3c92KWyPBmhO+uxaRXg6o8xq9u/wWc8zOiG1qTdCyCmf75tq8FrmsiseJ0u5ugS74mRULw67SNRGkHtzo/sNa+jUwfw4Bx6kej41bnzCo16BawdUT6vRDzhro/suc276mS37au62Tb2G0LrMR32FmHzMHPxFrMmt+s8rHvSrJytTCOLyoMHqPdPX7bExsTO9ewNf5A1LHkKTj/MwR3xY0qOjikosOewR4JNpxdYWEGs7sSFxzPkRC4NnFaFC6BjlLI7hWfB+6qWLFQBHfCZGxwtyXQI4ohHZE3B5VLHlg/X2TboQ7wpA7pSkLLxcKzYlgIP2LJguJWA5cKsbAdvOR7w7re1SW/YE2OGNRuqZ9zajevfCUVZDkd3YsW00h1W0m5UfWNJOVhEdIJ5OYEe7EXexQ80c2kHvIBbis689yKckDczdOfKlw9wa4szJbntmZuxSFHLTbaHllZtv/1+9DUato4Rl+oKOwOWlmW+j9nN2hH3IfT1k4+Rz8AnAvKV0wD6+Zsil3PT8AOf9ZydoV6ZgsPTrHbBKc+cjHxrAiSVrZYo+n8ySr7s2uxLzvWEz5JN5z5ld4CE2Pm/mGTp1YWZ1yzkB7ImDz2v9nCXeb4c81Ies+LeBWOnCekK+5/JcxPuM7wCbfD4hRwBXa55nrTrlTi/to2cdeIB9Zw353Ur6uc2Fd8D+jsBv0MD5n9yZWxYdNnLsPa71Mw0X3Jg8wx7uySaidLnD7BhwF8rBPlvRMQds72a0dkkvgePi1xyfK/D6H8gPhTRz153bggecAz7v2dd2J4ftKTE1T0ajPNysZz4dIL+NWSc9FcXA+sBXLV5ia/lOGPrVngAMUiYaX2oaWBXESuK89JZvbvJ8d0sarMBZK6M5Ijrt4d7bVYGE7MDjc4TSk8vf8AA4NWi/Tw7JziMgRffTkmxrNF034GcmD72VgDIEC+415xBryAo49KceXzowM+U6FpjLDGyjy4TX1/n2x+jmq2B7LxnErxEDYvlcGuuyyS1TP8fH3EIPM5NKUfIEXqmVblfAuRsVZB6heIMDjeE1F6WlZkH74kRh4nhzzdXABKmS4BN4iDxxq9zIcMqbvgdeaWZLapq7O79k03TubyvE02NexEODpgMV8gI+Op//07/5hpwLfkHmhBrNb9iP/v113tsylD2r4nInKwrrNT4eHdKqfuHS0TtOdxcVADYaOT5zUwdgbQBnneB9c+JsKxK0OCtaMwO9BW6/0ILfzgOGnAQ4XaM4s8jC7L+7gDY3Oqls2bMBC+nu+kpMotFshaz1obg5U20rGiGLDI3HHb0yZ46SYDszdNhATktJMB0rf7c5OV7JhM0Se/qWa3w6I3wyyTUV5LWGt5q3LbbBxKP4dg5iLkXgNWCTlR8HKVJGr+ZYO+oLsFzAevyWaS7At+8JYEQqwC8ZB1tqRWZ/epwmzxL4NdWKY3MuYhHfcOZX/mps9JPbMcl/e/9xd3Ivjya6bOqgNfdMZUp7l3y9m/4hNyn4oRyzp9GbF4OaASceqe7v59DuZD7nuWO3IoydsmtvlTNPJ4cPfP/SIrhtsK+FDBsrz7cfTQd4OQI+OMR7TvUX6XqnHmJTLX6n4gJ4fpeS522TIiSPzsY6rRD3aQB4lEzMaI8ikqphA+utV4jWSW4tOKPopYEcnSN5pV83+J7P+//mhkDMb29lgQTgMDDBXSkR8FqNRmXvAnO/nQ/zXPs7c/52bZzW9B86CdgMrM1U+fhSOu1XXVxWKbYpp6/+lLmtHU5IOKesV3GTz/octAdAs28pTdxmf1tkJMfM3d0qO44Ezay6z9wSsB3v5xsN8YGO2XpaCfjyzT3+6v82C3dRyX1ZZHoKjUb5C9uYOxcGNsp7/UjY9pr6/HpmikE+HriPkBDLT26ZGVXxhRktB64tPPQPjlRfdUSIgscE8t3RMnWMyAZM0TIbMDhCCWVmtujyeq8r8F/DiVPl8jhHJDF4Etb6CljqcaZtSS2Is8HNKYfSU+HWzAl+lsNhTYX8Pq39XXYYYR9HwKkpDybYvpubOUjWFn7mBe4xxIJXjMKaU8XZs+ySNV/ZSrvdLuv19389Ot63QPw7D+O3c68RL9AP8IueR7s0L/6Z82QJe3oRxXRXYoF3wn3tx26KegdspVLFLsd++/UXo4S9E30rcUiGXNwegPtYZc6LR1wy1JYN4DjZNS7mmqRot8u79sQLPYug9LCD7rSXZoYKgnxlUa2v0uq9rCM7wG8Mcy5oIV8znjzFAeeBe2OOFsKDJ7YnK6fa4QKLxI3DZOVFHdo7aeF7Yy1TYj43AIlAu29uyXsyAi71SdCM+iT6ZcyBb5RC7ZmFCPX1WNvoxfWw5PBOFja2Hpm+qNTHM9iG0fw156wOpcyraMsrioqGy+7oyI/S+dWL72jYYuo8HnVRusfndsYU1pVyXgl7f7LwVZrZML3kr/P5SmyLo63vApn7goNbdf8sU4MEHGFNaGtBPJ4BK74BtsoBOwal0asM1LExZ1brwaUdPkhYC6WnH27mSbpTAbz2IrgS9fDp0sF+cfM3as6RwFbSkHeAtTbNsM25OXtwP+8Qx/d1qOwzRRsxBAsdy+e52wG3tjtKDytxd2lF48XMfyEdDgB7M9Ezr7T5DriWnzlb7+Q0fz10omttiFN9DZitCb0b7vSJRBCjCxVhAdx+eIc16teyiPOyIIAVTR+CPSWuxCnbPGCtANdlFjZ3BEO2YMCL3I7TzCGxGjwLsMBrv+7Khfw6bO6wXh3k2aJB2JVIbdJCwspjnmkcgq8ZLfh9JtTMC8DvftzL8HEF31kAc6cCbPgcwm/pyrvws7sc//3OLAE+nIvhT1N3qG0yKbdFTbGbGIox7+I2R+ac99PJkbRqsazJCHEdnl+OhAEn+jnn7xs27vaNQ06EAWfqpyjjaMoN33XlKesJh/ihG4aKUvz1Sj/zsAVsgoGHLtMZcmbpyH1pA9ZeD0bX80twRJpAxo1v5mkTP2dthgvdlUIb3eE+F7Fb7WdIi/yembpBqzdz8QB+TSc6JsAV+1d91DVx25YXivJQkiZsK8zbQ91hm9rmHvb9IUNZAp/tjmtLKuvdPQMv4nraEDSlqfB+mN2S2pq+xfhp1eMOLIxZwJHKkipWivJKOXrhw2eOdqMMb44ae7vSrZad6szM1ZzGFyXwh+zIKe/+OaWzPR1d+Q02YSuuhzS/3aWIV27O7W1MG7/fYDfYmPkt+aiC2sEdddUgwXZf51HmDqI0OtX+YSO+3q/s+X6vQtzJobTPwEmVVs+EKaM/4qihdxPDCR39I4WdsEALHrWmb/MhALc2gdEHAizmLPgEaBj3S3im+qX7/QTsYeoBiyrcUsK2h2rUMe6UmcU5ccjhUv/eAa01U7vz0F+PdmyRALhOMJ9ydnioEfYS7W68x3vutJtcXNxzMb0pF7Ek3C6VNb/ushfJlitg5w9R7NbKbtNcyz7pDnbW4zjRZq6O/FJW+0YFzs8Qz5QfX7kFniumVkbqu7a5B3nmSh3sNFb8AxmJAG5ksPa4GZaWrX9z2x3IZ6ezUOb89qEQMnXc8Zmh76rLrkbXFu/nt7xoD1WxG4kgs7IyG3gzo6Jd6wA/a3v3XfaJBTxlpcNlU9poB77SUshDCmng1PoV58MKclw1NJaytgtF8SEVPD5a8s3MWAJs4p/sHT53n48zs98Au1jM5rjy20x18gT8vwN8GBh9XIh/EGO2s2DLgyAynYf4SN24qIV61c7lDAEXEuSnHG7XbDAarDhLXFUJjU55iB90sO415BDABgXgCZuGU2z6IGtTYwb2cnpuB4J2qB68TTVcwPo+n4kmXbO2ORa9mVf8qu2Jxdd2PAc6ocPjmlI5skg+hZaVQPKt9tmm4oE5e4tYgAljyZ3kc8ZCnJxWc49fenLVCe7fvbOWS9lrnrvoSwQtWCTYfbdrWTH9L27cbOARZhbiytAuo8x+mjpp4IKBKHBJOeA4G3fViJi0tpYMWliHeN/Yu+LMtmbeqQTcI8ngnYzGvkLqyLt2bdzYB/7/cR5xQoPtK6es50LZNAL8HWFOVl7SVc0EfjMP0e+dciqsp7kL5uFtMbYCPs6IHU8VgpzXZUbH5lCPvZNYs58MwTXT6nBy7IkPMzo56pYGny8tgqQugAtR088lb4T1zi9XLuJLbXiC5j9ppC+ZPd2SSOMcoh2NZA+8pK/5BDloKpJiZ3S5F+WTZ+0C66fS3H0TwdQFcMEGcvsrf4GNkivgmK88mNw6aKyqUIAhE08WCPblskn8HU58GZ/W3ZQJfst7FLL+5p0hJzZFaR2dZK1E86A+cHjUOmeBNo0u73W0m0kfn2r21ysdZR0+werFTQ84h7ZD3c+wQwTWWybnwF4APvmU6U3i8n3KbGY0lLH76REUPGB/g6xQxGj1nBGpqC1vsBYFGVuNBWAYNk/AoZO/nLJKW4Yz5xolcpgk8PpeDOaOWjnEmnzAsHM+tGPJIKZyFAC3zfM+Xoxdywg4gqsPCt5LCPAVmlxFVD6w/p2JsidI38jAXnx5rANl9IROUrArDtufKlwu1OiMdBgME6e/c7TceIHo3iXj5FDYt3IAruBriJWH5fy1JZCRkv/VRsZpED8U4PHUl7np12pQ+ad136zYzO7YnaytA951PffA3wIUNYUMBNXM5NX/zQU3NY6Yu+21HBRhwzaiKzc6dF/AW3YmvzOOj9gqXRpNXdNDfOMXi6LpxYme//WXxEaTrSTgu8podDmHRRaxC3nO5KEqD+KNqYsFfP9xNjV16LDUIf5mVnxXgw3xOS6A346AbwrBvDn52s600xsc2N7Ral85hZpzwxx8ORPYU2M8gd1t5ODtmDk7QWhzFslS88u17MgAefF5stq5pgfvnM9DPixl/fXuSVTaqd9y3u1K7pBJiG2MwaPPnHwc1/J1HjXi0D5mNq8Sx5yDZ07jTjO2bjZFejm6zVX2bdQAtm0YkSqYXeA9qRweNnCSwzlEEfXb4hwGd7oH2MuTe8NjxIod4Cr0lrO4ZE788uUrxOMw6+0n+N9Sd4crL1rEQgJMwIvkuosqjb84kk/aTyvwDOBzkpfwudzCrNSfjzoi/clZHPK1pYkdj5l9sInDZ8Px8hFF/w/X+6qG7eFouCngdPmcD+dOwVrhMkXky/BHGXKw8WlOOtLnBXBo+PeM6g/lAH5xsJlT89VE/MCYDVx9vlTW9ikKkuXAPo5OLKQjX+9ll66ZfdFeMNgZHQHP9NOTCG363fk54DHEPZIB/gfbk4kzaUJ3fgJrAOggMPymifCtNlpqXeAq08fG+J25RNOBGN2Ra87U36wxac7BXYJgz7raJbfEBY4byPE82CcVxj9mxi/W06hQGwIXe/BQCcjz4OPcqrlM62Gajq7RBjHxXXLcoUKCnzB9uFfDzS3HPz09YFfcBV/yj2v8lDb3k5F40rIdDHEspZ/XShDM/X/eGfBDxuIMUNgdU3QDTDjXIbPPw5RIC3hTcXFIcPNYoN6MJnXqf66mJ1/Ql27PnJXuwczvvTIIc5CXvLJ/bLDVcom46U9ecBDrHPYmD4jkY/bEzhLVrg7BD4w259vZcF/47jP8h1nLaO9dT893F/hpVvYywdby0oKzq5HIhukWRzIFTrTW/u6a83jK2e0KsbdPhO7pCjHZl9zM+Uv6/9VMuL+1cy1BqK17cjsP7WLOeLjLNmkEHFRPQc4vwKNfsyRu99qZMsjNO/zcfhGBFiW2AfjvJhES4j7Z1ysX9aqXfEjuwL0i8N2Fd4d7HqDy976E6ovsvV5F01EwklAH0IrWJfXVW9bHkP/++kZJzdkjt+PsrJWZJwQ4HaXAs3i+lk+IoUm27qzGiWmC4pPSMq5ChamYYsjnFkc8pIDZsM8Z+HlGwYaSYEmbwAsTjYDl6LgcD68z84FSOVeuvOC+f0AeuJecRMLUpwayzG1UMr1LUuZB/m/uQHRMr+ClpI0HHJfxoc2yjv9AvvnOi8Q7jzxKBmTlIVjcgCRDEtZted0hfjB+WMyogsZigB/4RYb2M/cDY08pCSdHBssd8gDOAdvy0P5W/TYtOwwxkMHfbTsZkl7utwfSP+6QT0StkanHs4TR1ghnq9TydcdRnoUXMIphnZY13W/fAO95EjiEHFHPxwC4QPxsBumRsLxnHHBAvnWw6V2O1EZ0al/x5pGsu5PharCHjyT0VubGQvCdkwaYQRx6nRENwKXgfecRuLR19iHqdMEGcuaH1PrjaMW7JNQbYmnZdOSrYThK1nbBPcTxnkw42Pq0x2EFuDIxsx5CVJGVPesonjHb6nKw7Gb8q8V6JMC3cbRbagFxvJe/9fFVb/wNMDVtKfCWnPVeBiT22ARbLxEHO9HTG+2bRQ6oJ2YOkz1dCI0zc7aehlLUvHeBM4zc2TxqHcv/40T9gwR6JPZU4CHb5EF7AP77Dbg7N/VbzcjDk7OFXxQzQeO0EVMJcQj4UtudHC/GYjFaYGlj9U/gHRtqTcdMbBETemlQnJqZmC98SMK2427cQyz0z4OpI1cH2eEycbWUfblUYxsRoSAGQzw0c9I7Pid+PGErPihXmzkHj8Qipn6gL7Waxdf8n05NqCS35N7s0f+eJRpnupUu8PuBkHNPCO2tB8SQEPvBptlvdR72VpnPnTQaAKMqxQB4zoltsJkTxE7AsOUVbP1p7n9UES+/936GX0WXe+Or0zmYXpxIEovskk66kH8L3pEK4hMW0ec903qfDZmH+09L9tuAR7hgTHonW60na7PKEVfMsg9V9+9aivk7s+O2MfPeRwIYafdRD5sVD4hm9l9PVnZy9OHkqpENtjZ4jo0k4NZtzY2CwkpiOgQ28EqjQb1JrO0PCb0geb4v2Ck3JezdyZmDs1klH5Y/LE390IZybuoJNHCHSH29/83LBuz8xoelF8G25OEW5futm8PfwxrY5/HfnbDLWtuYmN/Lx7iiY1uBvS3K6Fpzckz2W++4BhDj8c/J7W3w470yZ+vA48R+WwLu/YuHrFdjAnymorgtNWmBH5sZKN/V2nrK5Vrp3b0Kk0e5yoN6zgzDarNx91X76tn4n7/njf+/ulg2+1JjTwSGVwVmJvqfpi5gk4BaEJtHnsOuURxcHvD8Ug4a4UhLwDRLUqAbd/VkML4IFg8zNFPg64BfzYxJP6EqxsMNvgtiiP9vLR3ArzYvzb0Bz/90zL55gAfltxduQXwW9nS0yw3E7vX3DLWTPmGxyHodQg50YddNj2+Z6U+XD71Tay6MfhHEollaM8Wj3mUDyY5OafTANw3kGjF4L63FFbDTDDYBa7J7QjxbKVNu1l9WwDlvStg0LTIza2JUIu5pcbjWg8TAWZKqyyxlozkJ5rzuYqsW+Pu3LtNGRyY2Tj7oMA3tQx0sLzz/nYQzAk7UAg/9gHVbG/AXHk5t2amvRusvJrxv8NcI+2xpeEvNOVg+APcc1VQB52kCdAV8fstG7QOGJkl/WzAjvuxtrwKrN10hr3siHCh57ptHBRgwDTHwJtuRA3wv4Kiyv1gl+FIazhrivytXZbEhXlKGKohXDrzFtYp0V9oaIvMWePy/+9FGqRpLNykOHkOfC8THnz//WlujcwHYVV8b57DWo/wBTokaoawkILumIK50DoCdFGAZ/SM6fDuzCVWwNc2wNboqvaJqaGh/bxwJPO5zOYd8TYbtHvv6WQXsNStzrcxcma73MG9T2aHU3IUmZq7s2A5YeD/1YEf5/h18LAYfIAkP2JVFiSvDzDuZeZORdKoIg9+QNfED4NvKNr0bNTPa5kYwsXnZvNGeFObMvrJVUer2Wft4TcaYU//gig4wEdjwa4aGmQOH3WmfBMBjxPR2hj3Kv252aWqDg5mAb5rZeNfU30U5QyHk4bzs29ddm52iFuKp930udJ4WEGctDTnPustxGik3Zx4EbG+yBVsGhfQJcjW8z8ylMDpL8045dqpsnRN3gog9WY2LOMSFOXdadjbnFdZfPXYCn/nCjl4At3UyiG81V1OC8JTrKRaDSnLI+xXV+zOSWa7lZLStwN6WBGLxGe0yWPdL3SvgVSjIXXytHW9pAhyb+ccJizsx/t0FLL9cyGh9CDP35/KAfFGCT36JAi8NLZ9NP52SaMqNTi4JYgp5NGGr3oNvXZiDMNjrwmi51IHWwOV3wA/NWC2nHHobUA87B+SlWW0B5vxWYtk3feJiuptTBBxnvNxzxB6prz3AUZQUcpCCe6cVA55XLjW8a7zYyZg9qv3NlqGOMxoYLaoceNCdWXrm0eF+ZoELvpK+7DBh6E765TsBPqA69vy9s+/0x2lVOdm/gx9gC3AcTcNpYT6ekmEOWEH8elgAL5QPXDR3Scm9GRbIbaRtAK/mo+mDIjwZjc4YeWFR4xuaI7VJwIZYvn1W4E9lx3dNuO2rQgO3QbZy4+JsZtxFgWNycdPfHFZI4Ppbi/Toztlt4Q76AvxJ835GgFFWIprHf3Xo+FVvw3JzLmBm0Tv2xASi5yDO8l7/kFFq1bcPgdRBGe2ukJvP3SnENDNLgq3tzvTOnwti56tKEod/ARcc/9Plbwmxeyt35idGf/O/QjzosnnOJNFyqMJYngtenouJloP3kww8oQU2M2jNfOaOhxbw5hnVrrpVgOfMPCPgtzEL+I8YpgPgbeAxfFN26Kh6RRhFU8b/6swDYXCwO7UyIBuOpijJIUZqfWIcx2yYcc3UoQpklQf213nY2LKIfwzvbGwO9stt09fEtMmjt3ticdn0yoacA3uirgIRh9L41TOSwLoHv7V242+9M8+cljRcktp5bBTiS8qlndDPJ3d0BPuWVExpZrWXHO2Q6YmrmF3w/4+qt9tyFGeaRm+JH1OrfdgYBMZGLoR+QGeAvAqDwJRN2Zir36ma1/18+2DWrJmuLhuhjIyQMjPiNsiLr2ceYFkOWtfoy1MdtrgzbdIIv/n8ThTlUq7JgJGpc0RlykDrjPDdjSowXkuhHsoVP4Hnwbs3/efXB2hN4y3zyIF3Uk1mEfMdIBtgL//1zwEuAjq63AC/+0nXf7xXN4DrmSBBNQI3CyfQ/NsVnv3bzDbK9N+HdLydYFNoai6xmVUf7z3BIctHiXOCzM05Ftkgh8bp3azLXGk3N9D6hfpv9t9wcPH/dKVFMgmfBzyXiZF/G686Sf0D6IdSIhk1wtx1o5452wryCHzK9KN0ey+5fzsVfMVF+jR+ODxKwrJoL2xkj3TtbzI2Dq12SMLwnZdPhANXAN2Vi+314LT5WTSLCL0qt5IHxExeOhloHvRp4iRnPBGdxvmIXsz6WmTYQw7fcuBYa2MtXjpqu+kXjEcO6/vrH/rKXf2+1/NpT0rQvB0fJxs72Bbazyu+B5Xs+ZWZc+C2R4kSB7L6q7JSj0ZX0w8a414vxE1Q7WzXytoWoGEnzPW3OSNRRQvaonkRKh2p/XdNYH+OzdwRPTIb+7mYA8HuDnArIi2IlWhr5rB7LGoWyGCWQNMLcpTNB/uWWvOdFSiShTn/I73oyNygdgLNlykHKAdoZWZZrurtd91ymHN9YKNOCEcbMswp52QPWHNLIcc0AQJQX3qIpyld5a7qkpMM1RPyR9zEoGsdAp9JplT7p1PQrOacxeBraW0ZrDfDrz8bM8/ijVHw3VEz6E3GYN/l8wA5Iq2pfPKwvRyALqY0u5m+fob8VYBmAe6UsUhKwfa342o8D4kHeuMlAl+fQ3xjXJrz+7vUVxsPm4fi07seALTA8lHFaG6A5/36tYctrXU7SJoMNGgeImg7yF2FLNiKo6ujwvYb8DemIfqs4tY9M4VKtswK/pwhwyHQz+EFmtpOXNhffk6//s2dqwZVUuAkwDcCU/vTIGD9Pehl4BoEnhlipwBu/pDRl6l3+2YuDkDnfUjRO8oB3RLLDzLonkXeDZKCKxHhpDc9gq1PYH9w95//1w00hZMVrQ/84FJ1qZPB3uZWAtKW02z0SwLvVlrAZRifmIVTHjBbssTOXNiPXO/+63lExlOZ8wHesUN2pfX1apzFPsPqNOHbJ+sOz+BljVaC6cYlti5Vz4+gxeKjnfycaDuCbu1N/U3uoLSK7BH4YExgn9ModZSL07JPb8AObeDFkLP0jVlmrk57ZGYOILNbk4PfGHUulF8Vf73MZi9Okypl25Wv+puuoPfdCTh98pPH2vSnPOoCUciji4z3m7pPEDOz1OA9k3B7y4eJn0P7INkcAhfIjPe2ECa38jePeuWv2a4s2wLeeQHelma9fayQ/s6DbMEQe+fYv1OWHCCjvypnO9XWvBxs4AK9R3FBgIu0jmIJ7PvUA156kXFoNWa2dZf8iHGy8nj/xiiXxHhg4uqIaO+m4mtjNCnr1A6wFHBfg+5sP0zd1MECHSn6DTXzcTp1PfHGzimuqtG/KRfBO4L4tBDK+oSXGrK0uHvnLjUzgd+68gX53D7F+Ca7NqGifJg57XmBYxFL08v0cx6/nMzMMgknt2H2U0TTUBpvSQp5v8MR4PimiuV6cHVbOhvv3O9foA8EYHhWraYP7f+p3ygmXNq+6esdjA48ReXt6MjfesLGuS4q4nvS67UKpx23UUctHOI1cZldrmmhSjZOF+VMCFvbJA0bl7so4m5yJ9x/noRXmSkT7zOikvN7avw6Xf3JRy0gbgUJ7RPwvZWDHmPD9JRhu5xHwCBmPRrGNxTyKwEqAfm0ZX07p5Y85uHGFsPezNDAVQj6YdAC4g103XtW1f3WdKbmtP0utd+JoHnVvUYN0i0NeJcNcw77sODAiVlEGInMOWYigEuLSoDuYMtiziwpaAIZ7p+/fnq/MxSR4D2WsidPWJP33tgZjyhi7Z8STWXWkW8ayB2o4Adx2rU2cz/jFjRDewcNz+sgfJk8LCK5VAOoHxdt8liRU9AvgktPDclOxIQJhnmuUddYxo/mX31vXFqtLU39/K8XQ9KSHjiJ8YMp0uWs9UDp3xcdphaPe7uOFnMf1J7EH7fWUwt5/uckFLw3Djg7GWOlKBPbyMzgMO+pRlenHP/5Ll0yMUN+LZ91L33Qc2aOgYRnelZ8ipnFgIPI3MykyUOV44g/m3x28sD/EREy5yveKQqBrzLQXAT0dQj8DXC7kAzHKMhHYO3O9o0brDE+ZMaf1Vp8yDt7apEi7fZODbJDgt46a3aDPRalYpY8RE/sJhj0W9U4kzzYwNuiJabczAuSRrNmtcagg/6ukOcLvOJHyfj7vBfeJ+QTtlykkF3tJh4OnzeII8Ci3x4dD2KvAwwH7mRmpWSrHFFyhj1WujhO0dcrtaenqfUysw5BIyU0BNwfp64JOej75zP73/z5AhCtBY5xyS3IHYNdNZG+1IDFqSAVB91zCkBXiMUCTCbKAvVdyJegyaZxzf25/O3FoDYhvPha4F3/ENA68PbsUyE1sGMHF//ubn5yV3rAFwcBTJgActeinaXJQuEfr9ptr2kI+6DgGXvNjDr4E7R6hwd+p+ESnGLAhe6vxxH2GdfA/djvnFvgr1cz51yMrSTWv7sbUe+As/PEBb76IUC7HZz5APkVdLO1KBvyEJ9CRbVWQWp8t53Muj8YS5IMdh4NAHPZdK0FYBpPTjzaWPlg/GEXKxv/eqkFe2PU7/6U5+/dmFiOzcDLxrqa+kvBXdPPKAXwBZNXJwU5uCz8KzEefI59p0JT4zdJYz/MQQPUwvZrR9kE9nvubOMzmp5k2AKq6ttZq3csp3WkJaDCk0Twty0MGkbzamSgncxcViJAU9lKcEBZ9gANHZ7H1mUBM/59Gxxuv5nDcx5/3fKIOFXQg/Y1Nf1fSyNk36zcAR729uW8SUEGwdQd9sRgfNlTwOFacy1GwJLYN94u5ZkCzkXzCNgYw75IuLUdaL9Zjs7Tk6ZGsoP3Z+7kQ41MLbnxBm4ikjXRfkk1f5/3ZiL+u2HcJ4ShEOKf5hzIyUD6lGXPUlyffIA4DTVXI9qBBkZn5A/Gmxgy1Ce1vNPRub4U8C16MXPPNjcZWo+D0fDCPp21z2Cfv2PZ7E8K+do2dUS59ecBGNhJjhnw8JzmfyyMeCliFBpPJTKWxpvZrCnnDolS1gaUtRsctAMuro/jyjOI7w/gKvfU+no2nHyDZn6fOSxSqH1eqCPgf16KbQfvIc8RyklUbuSKHcjTPYdnP4DGZ2hvsRDWb2x/5EByVeg96GIb4j5NmZzqVZ8aYS1lrxYVQi5Cbcb/N+POyxzJ8uDvg/UbT4TwO6zN+utbyrZBqSWtIcfWSHFuSVtQ3kmmEeZtIrSEp5vizNRA9MoDXX0hxZeZ7/9qAv2CvX4q3ezViH9zpNcMfktGk6eKnhY2PpSgQblbelirT0l52iDyykde/NYWR7ZMmXcHLX1snBm0m/UszXyg8LpiV7WHlQTZ2OLaeMNzPgM2X4Ru3xh1B1z+rMerOeuS5j5cQExwoX9YQH7qaDuBjnZyhEMREochdYN4hPxrp6JfHrUd3nKkDqYXOR1BV7j4A9vTCYdsLYu9I0KpjWfC+8wBeLzfWOFNsu1RgVbjo7RxIftSJBU2Hj5OucGgVY82qkAzZWrwgKOriceNfRaoxUwnUjxXabCun0NqNxDVhkvY6LS73zKnefea/eCdmZ1q26prV8YJOwF/VrvtPd9tvaonw9HllQBUV6G1cKuxDlbC0hdgJfDdyuVxylUpwmylA/DjHDjgmuxZ0P7Qwmd0/TJ3dq//v075vxpA4YFul23F9S3vtA0x+XEKVZh1fIYYfpQcT8T208xRsDeUED26NWN7T/Otjbn/qAI8QJz6zWAtVb/9KLmSB6t9x3JiesFA0yV1zFwS9i4tFC5XDHHYlqozfe0qKDnkKDGbWToDrM8+Hfbe0Sm90tXZiUJeDPFUcuBqFE0VTQ7l2q7UetppPHk00O87qcPBmh1atAHwnmNlIyqt+8bcr4N+mTPK1srhmxRwpw6SEa/Iqi3vLte/G+O329jMBd6/ltb0ovF0OPOrVdryhC/bpY59yt3+xVz95jZCuqSqI3WDZ3d4kBo8dHEI/NNwf65/MGgP2eGACxSemXyqkeS81yXwf6ziBCsngVw0LYTqEJ5/Inxv+n+fJNwsgtkj5Li3rgwVkhfQT56KllsKmYb22hPIzMG2KYsSkdnTN9WTuaP7qC53qyqmj9Nui00d+H/9dQtVkcxkJ9dmLN3DquGdN/aJkfiEGicT+D0Lbme4Sb2qSfHU+Z31weW9isiP6JIC9OOQdsiqtASu3c5cw/qHE877xMyziUkYOhALLcSYqOwpYfb+yXvg/6Ma2EB2KSsBr/6dpZgbbkp5uWQd+iFjO4Med048+UgDecqjaVNZ2of8aJ0DZbHCL+thumZm5mRHtBgS4220YJraUngfdJRH6pIfbu64bDRBXF9yfX2fbzjlqkgaJgEbkA+8yamt33v2LA+Ulxembot8/J9HCceDR9K1f0D84KrLXLW2beqkLg0g1zM0GZ8RGfFV7rafXO+NDqAlb993Uj3kjozZEH8s6WSXbFjoxWdQ35TpK3OmIb3MHFZ9wS7Hp8DHkNut0k1upYONxilpbLzc+E8TQUIeNjZ2FhebutOVbOAX76ro33zRONU+aKy/638+Lz7gq7TEqH0utnPZa8vMKWwi9QN7+Kb6tofntUS0zaqRX3mcHBrAJArrycOJkwLtiZV45yA0M53btG+xGP03B7AbCt93Ny/NuH+QyJ7TTntH27+eUQuaUvfAxSBvTFfIh4HpDhIRHgAfLqrwYbXb7sxNLtBVPaYeLpJVCS+v17bHNgKCia4cONcboxrRMuD9kkPU416+FGQPHAHO9PzEmExKc64GmpwxQJgIP2DPXCtgpmm/3EpQfOfg1x8xopCPKEePZsweNWfA0XFrvGvp+J7nME+poyZmY4iMtiRMhjUjrXS8Z45gj3T8RRDqjS895M1dA38Oz2Hnxncm5mXK5kfKZYvj8HF8zcsp4Ppo6xVy+wC7xczH9lLE33f0343DCY2/nDwG/u/+fUjrj1NpcktHhc66NF5hgzRzfeO/z4M7gc5PX3lcrpklvcqdKA1B89rAHyB3Zr3NiK3HtN+GkKd7GTCDEe868yfw49PhdXewc32eaO/U4fZmel6ay3wEHe+wsAWNv82a3169PxvI0A/Yi2s1tDOhrZZFwnMne+TD7EkK/MSC3LwiDxA/qc0d1vr2er7fDmvpVp12AGuTZpVBucIOtjwGPHmE2MK55nnW35+0lxCv9pHBM1aAY/C9Y6XbtNZJj2nrCdD7547Zeb/t4PvNzJkrwo1fhPxffwrN3MpFPvA/SkETcRcDhilf9WTNRlCsg15gr1enSLUS8iz5r7/xO4Pc8zvgl5ralclJ+69XCZsD8ukCuqdLB71vurYwe/G9N3JBBHAh3BSaZsP2AjmjqFd/wbYCjkYuFZNmhjdwH3tNI/uDO4idCnRpuDR3jq+qC18U+FIeztJow2r0OXcbF3TvjYVfxlfwfRfwicXere0r8JdmLVnolKI9gh5xGUXzOZqfaWS58PszPiRxJsxciGmfmdW1PP88hC4bEsv4daWgAVLRxnToX9VgvCL0pmEeql/bN85T0IIs6zG8l/ZZI2ID5sw4UCN1gIPYKeTe0pII8lmkYtCuhPXA663tsWRy3wRqAI7lAs6PJW2PZk5nJYiGfSsF+lrPPNFNh9973lfr10ZZf349saRWe8ApJEJtmZlMZ+NdOrYlp8mMIQ+fEQPt7X8ApXDMrNJ6bL/T14xBe32XoBcUxDEV9nC00Aw68Ttd2yGl/F9dJRN3+2BtvDxaTg3A4GHtIaYwAdXhinw+pjF+KtqyfCXj2Zyxxu0VeA4mgfEAnXYZm00/90yc9gF5fH/e/TEzG055/OWRaMJ8bN9zv/NqUJQV5HGK25MK+DUVuDxRZeNwMTXHr7rHO4qIdbRKr4lJ3Az3DVmlDWtDzsbnHWJIGf+73ts1lLwg9q1T9MfNg+zFCh2b2Vbv+qjGmjd53z6kbe6qeMI0/hRiOyrjIWyVL9C8UYMUYqu+EcD8zPryKjNrYs3WBiWJGLYT5D9SWxszE+xSvrZ2OWQ35bZB2pOLma311pWpyG4lTT6wkAfMzYw6/JEOmKSI5KyX8NnoSHi/EPsXS3/v+Aklc921hDvTjoC+yQsf1baaSDi31Yq+G8F3sOeeVag/M56+OUB84v4n7AsJek4yARvIzB8VoDuGaZZRG0sNOSpEuGZa5KFaynzeNE6yp6/ZqWEt+e+sYnQnhbk/e4K+NlieHH/1NeRK4zX7795hWLA5M04jbR1duTHaHbvlq16T4ozgOXXqyLh0U8FhjfbAscnHwUkWYC/LScj9wTF/fxkBHygT6PDf3AtYBwtLEaZO3v/zkrg3pq/LlmYO/iNlANRh9sK9Z+ZTAWdrkxq1ntR/l0Z/3Vjcbs677Y+yNCKR6SdfyjNjS2njFfKroCuXjCPgQq1P2ZTzIDlkxf5dezAfX38WEYC+NZ7Xl7tN8j+3KlzWg0NywKJKMRwTW5n+6tfBWo40TtDRStbjCtxmKG8ZnxylfUSc8lGxdjhFwLMuf+D/S8BKwIj1X6+ZUw3zPRfJFRfK5KGZ2uxxdBDokzb87bf4rf8w/nmWhR3enamOcxvwcm0F/Pck3clXDnrxEX2ycYryAkdVIW+Z1UCON3WZ5M2x13IIjb9BWbO79VszEMr/6vJ/NWn723Nf88krna2Zm/pBbb6au77/Zok9nyJK9ClQRIXqzmztEUffjtbeYD5Jx945xf88Cl+ZCzq+kHmDzGxdu6WRvOT9lOVD8s1DdBHG+9v67Tc4qHg68oj0HHITC/Epc6YcB/3KxjaVRhM5Zoayyli0cEZ9n19mxqz5f72cwItBQ5qZzg+GZCvD5MkH+w70aGHwvv47L/q7UGu/kXFrN335VEVop1b2TO2WQ/wJ4MAxjUDrhFcHsvKDRZtNRo0vb/gS+fadv9oKZD3s1ajmfAHc/q5EsypXlrn791kP+AQcLKSIPc5jUpxARKRs+8OjCaW9t5YjcJGep3no3VKbxOUwoZo9PTmQ74OFPGltP5poeuN8VTIzc5scGuO7TXv3HKr0HMnvFE0bLHpQraknQguexwNsbnPA8BE4DM0s+2o8skBT/YjdfGniv+uJadg9wFsHz1GUtMRq9/DZ71osT1GUsvjvQ3XKg/2xabj/Otg+Ay27z8ONw6PZP7Hlu0KYMo7pKQSsE5BjhAV8XeXVqmIhptjMb4D3/NEEmZd2EMuFtFMb/chCvT1NXo09rYCBp7K3LxX1w2osnSpuv+Vo8gTOTrD2wI28WiCWU3Qq7S9zL2Gfo6RSSC0npDYC+BTjU14Df2OWzvIQzWbWG0A5BUz8dw7A8m2Q2djnvcequH+dB20fXMgu9lTmxuPZLm+n2P+UPUpJoJ+NZWY9LAWzr0s9JI9ThI1jvXGBvHOLEIXaNA9QbvRwKQB/6df7s3Li+iQXyKVIvThLX4L+Xc7aF7AXIVdkz3M/uXmo+9JabtKcu1mJVerwJcerJQu01Hz/rHXrV2IKTgg9JfuyOKweDeUncErIs/6/GrOa4n3jArOIEzODyqW6fEmLnCAXgjbzBaxJwcMkAT1/pZZ3NHdEVFxdMvoWNfVJwptzO8nPTO2F4EvaYeC9zBaBPmUjPlViftcRBeZ89TxsQxZ/LZlj5vnrh4gRasL2WA7tlUT92sSJud+6Zj0fsn7anXlrgwYb1cirqr87qjdegEgzwMJz0e4YJFwRSo+CpgEt8q5nWw2C/FdDtnfPo4acm5r+5axC5OPc96YPcXce+rXskz1g9MBH+SHMnMpQh1W+vWT93NXw5FV8XU/h9XnWe/tUkHs98OE8thvl2G/O5pp5qLifYb81z1NUWlX3teFrC/licrIhmaSVBNQBLRCjnDNZslF+15G1wD6LsQP53PS6d2gSwgK+wPvaSe6Yq8L0lgNXuTOXvGc6feZhO8G63E0PYw68QQgUg+6casRXNpg5SEuem7ozS51ELHPTs2zmyWTDcuUclL2ZARPjwznCeRouZq7wQwXo8Tv7vjAeA8n7DLZrooWeAQ/TIPUqoACmnr3W/FgF/g50rPFPwhR06W9PuSN7Evugd7KFhdOJaP9EB++HGE/VAXW1Q77FMJ+qVRYpI/D7+YSjaXifRzViMt6Jn6Ab0zNVdyGYlw48ZiHHFcckE3qHOfkGrlSQ3faRw77j/WYj6d7m9GtNnSdkUogw/uWkoOIFCh3F7rDnf3urb1x8vfd8D7rmQELI+RbEquYZYM8NePsx772QF4lLiqnAwvaqqDHzu9DRCW3T7wLYIFmHbNJ/PVUcuk2XDHXQLKnVOtQmUeMg+Bt8ZsDf32dfaYdiJppnWZA8tyWtbTk1Dv7OHZLieL+AngYtN9FSm3rtbAOZ/5gXbWRmK5W9rghgEBHqB/Ivy6wEiJ7xvddBU6BrxRQph+V9x2Hw/SSjLSfBb/+/aAoeCS1/apffcODHKvC56RapLbWphHoBfwetVtoH4GxNp6aSE6bYslAXtEmEPhsq09L0k7FlzrqWkTh5z3PQSgO/RnhlPfpmI/7F6TMlHHSwC9pnPoXbPQk4lkx9sqDlynhFuJg2of1QznIwc6PIqGcRa5cBHvJfrzll5kG8ID5grb/ePcWghxu3Ygzwed6Vo/71Uaqcu1N3UgNfrLCWNxwlHzQiCNYmzgv1rPsv+ySmu3J5bmrYhVZXHKoAOPaDgw5JAQPMnRDhMhbs7YU0k5wTItnECEV7AbxZhfhpPGBBHxVi9DvB2ug999Y8Qx3w+dcfdmyNM9dHEzc2aISWIz2obu+KQmfVOOHfuXFBMpqJBP/3Wbx2W8bcBnRQ8zK988SaW2BSoIBwn7vqkyD5g4HPVG7rGH9siP2UjvIiA1AxYfuhgsTcMRbM0ZvSlR212yPRwE4pz0W4/ak6nL7rUljcbGgHCT60FhYlfcWypdJkJweFaOgBBpRm3usV2yZX8aykZOBrZh+d+Qp7cFWCeHnnQ37Bl9Num1QO6E/Ys7jfxrBvfn0u/u+57BNv40YswJva3MxDrnp5IrTFCjgAozIGnpozpD7Ksf0hfXKrAJgE4h1o3aTumVXZRlNioOfqWLvSePHwlHkrXXUleu9VAzF6ayIxGA/ztoU8RogL4j66emVHpobhrOT+Vfb7BQvvu2LTx9FpZ+5wLUxNXSH7c6cWEZdWyv68sKOP+DJfZTS5qms82QNHWUkgRvLuy+7zoVmrLlwrl/Qy4u5ZJycSfT3x2J54xF5YzFbuEp3m8+4UThDH054g/KIBW6vBntll3qjY3KvOlPatphbeZR1wOxF6kuGlKfZvvczK/I8F8ZkBT0SnEPitZX+r1xxKWyNq4ydBf81Z/DM1blEUTbjrbyeBTD9lJwTwdVetlJEudb821Clv5/jqyjhzc9ODUkyiHsJ/fJ5Y2k319VEFwM/H0pJje2nGCRlvinQEnWMtv72bdXE1szOCzFIP4ztV2v5POiDWCAJc1b+kLi9SiucUpU8JuvjE7ABetKlf+1fDyQO2wM9UhuMbv20cYMD3BNeXGRPug57G3xXgRDrIsnT0xACnjLd73SPb9Mmk2jdzmBzSE+MLfzma+Zz9dmo4CRVgZF207z7fqRG2y0GfVM62zxzYa92vZ7Z5D4DbbFFRUpSMtOVlNjWhNzXuHVA5j5Lrnyogc97hA+1VVbp/PdA3FiiNOKf6M9VT0IReS9Z3fe/9RSOOMkH6poc10P0jff15HZ0pE0UyqXDzBKzUKiqfhxXfU4hVwkqLFL7MmPFQVr4I/DkFPgh8sq9HPok+dFgRGp+0HUfYyjSh71jOB02UaItSeHfSswcWyvS6RYpjlg5fDl3lci74ogBTxW9PKidVOKOsx5zycK0D5eDXdg+8NFWdL01/YGaTMO+XQAxbP++zN85PfJjkwW2/SzNL0AnNHNoP48N1WJsV8njVOFub0qRMHeBpFiyTJS2JQJ8B1uSRfGI2pblrPtbMwkifeNhajTP5R3fSPOS7fMBvPCxT43/qAC+OcJ9R/9vkcI5kb+bypE4GazGteLDhO+MRj/yDuATXwA9g1z6JQGMVJjl8n6Bms2Ri+0kHbHGhp6xAkEv31qnA7952KxvkB9cS+LwdAb/NseWZmY0/0oEUAswa8mYpYh5zXS54+PqtuzuFCT5ak62cvQ0PtFQd2mS2tuuofJRClcCJ0tR6utXaWtyy3vvwA571Bj+7gzwijuuXVUXl5jxkj1NIZMrUeHxtBQv+uufB+H7Ljbz81ha2OeORGiYzP4zgok2ytTXnrQ/p4OkchQ5etUOj2ao7/40bQxPgZ2NzG2KzpNb8fb78udWMnOpx+iEBcCKkRMba66/X7Kozbvacbqs83G/4oG/G/5LH0wL61sxwCjPbP3IGL9RR+9+ZKVq++83/z4cbtKH+b05/KjCslbmP1TfAJE0CafrUzByET9BIErjqnncaYxcnTYwXdtnC2hOALchebmNL7ecQP72K9So1js8gkf/VY7sKYniq5OvPQ/SIZsP8rJkmZ86veTgVsGMTaelL1WVr4/C5MneDIX8pKh0+bNN65R8ntvU58FvcaU9FkzTzZquOeKY+kVr/9nzWjIA169dSU2nmqkvIFUUzoA38u2ous8utFngwOkFuZ2pFDLjvJEM7IAOqZIfhfXPZiLk72KqDvAbvfWaUPR8n+vWQbCko+nfHERB4BibsXcP1sRmUzpjSuNCfXMwY97wibFuS3X3Bhenrbd2mB03YqTkdySGjCt5fcsLxNNUuegBfL2CJQUdz1jCOVGxmfYTvfTjAny0yQvum34KGlz+l4x2Y/eu3/H+zPpJv0+tIObmZ+0kaYh9+9yhEeyMFupdsfjWUOGZ2kyym1tTB//qJrXJ3isxdzrvHZ/5OEfKYg65NzH3j4SeCxKEaM+m2Sb6b53yYHErJIyt8gR3vVQ4S8rK3OUXAwUfgxX1inePeMrymQtwGnfgynZEksqfa2R4yNr/PN8qyQ0elS4cFCJ2BE1ahOmTGJyAGphRZdoP0Vdn+Dh5slpE9C/gZXICaNzvFTWBteaqQDgEVvbKYrhXXj8aMWjPz+QBnG+q/1xCTMPHVsIQZ8GseNbfUWYZcgC7r2aY2tYi2+smt+ypHDT+rvmWhMkb5K2XbO+WZhYvGKe3pyEPjA9r8zsJnsfyWVmiZ+cWc6ffeuKf9xgIuOinUuLLoHUmZm/beBFi7NKbeiYewplxXgfFbaAP8mvnBsUMaEibX5qWAxQLuB9gGStLtl7JLN/AZFxVuM96xtb7888nCucCfZkY4DoCX0N954x85RP8psg+mr/BoLdj8f2X3t5SWdhNtixw4fzb6Qz0SD3TT/hza+Sn886oKREhvo0oAn4t5oMLnRnXJu5cTQezG8I7MrKkH5GUK/PYEe8zOnOVYc3Meom7Ae4IaODe9zJe8k1GFUFlTdpPoa8mEXVam78bt3SYE/QeZobT0tXS2kjnEqy35nt8LOgDdU66qvEjy1MZtJiRo1ilpOt/NQw+JDhIr8CLY10MNi5npdgd49IQ9/aGi7KFoCnEL8qTfDufIG9SgwjzObmZGwrnHB2Dbb+yFVdIzGVFLeHIUjByb/7zW3AbygbkXP/fWbx8bdTyI8qmTgQ4B/+5YoDkFFqZ45kGcXTIzRz+U/dHWR1Ofnob613OSW8v7ftmqabo5hbo72tNn6iD4/dkiIA/JIbRBl7rNkDmAJYeqkFMeaZvwFps6sqrfmppA4OXPB0UYvhuwi4FnNNoAHwJeS7MHiVoX2/88Wy/lGLoQez+wv6Wk5HLKt991qIp8AB7F0b2KJeWrDmsbGKCz/UgpB73kEzPjuWTLr++gFB7wZL5vIFar/A7f3T7mVmt6Oh9K2O8zvQ3gsibR9KDhFrQxAy2SrBmz0wySFHHDjWLtvlrVB+hZ09n3mYOmO4+pDWv6Uw06AO5hpZD3CbOeOMQTi54O5W1BRgVahYAK1e/3JcWYGTzbV4ClwPu+MUOax8iiri9yPd24nb1YGD5ojO+Ctj/w3h1Z+Ds8TOZ8icIe6sXAnNT24yponjlCt2owGO9d6w7ZjUje9dizRO2Txnoy86SPNrocLMumiACvmWjWA3fsnxaN/kD+BG7ukrYBvpVyiAGBKor+2gfHe+DezOOdZ+IsQT0qr4S92iBp5ytJOJvedxwp6fyr0FywVZ64VhN1SCqRXzZdK2vu27C/ATvwrkLNBnTW89wxq9YcQ7wbL1lBo6uZ+eSI7ssDXigo9U+ybxnvp6q0wxeL/fd5VHiKFOxh2dW7uydH4CwUfyjtX870yz13f5/A5RETOKBWy1RHdsB1xjzQh+MavsTlbnphfeb+vREG8Tz2i9htf6i4LyIwM2/nPrXV+/7rZTK7BK1W28p49C7UClfQ5JNkLSB9O+TA/altPK7RBxNIA27sCVNJE2656AlAK+YNMnfYM6l7gujlz3qKSvh9CWp028v/9fmejDdzNSzHBiVGB4UYKeAwE8WOOZ+2f+9pm1Ce4DMev+fawoJ9w+0qxBzw7Mkt0Cedco6OvGasfHDARVbghTj423jbcHF/f1Yio/7GHBtLi5e1mesDOb2B9FHFE04tj5f5tixFMpQ9ChjHE7zbg4Tvm1obO3WII4WZr4sW1mtTU37jlPxkDuGVBZrelmllpmT93x0HCdFYxy2FPG+DDgvOATqano+8/7Jy0Lq5jSxTIQBIMB2c9ppbahJMfdY6BKyAPWH2KSPoHCvTN5/mWh4hP7fViIuct7dTgN69gR530Ad8Hwd4UQTa/zON7DsvEGg1/OIDevIRnVKW4EYspImnLrVswznMuwvZqPbEIXcR3h9mRkraaUdoyHerfzd1KlUPzyyW95n5VNloqdD0BM48V4EEXZS9jrbc8Ohq1ex6Y6BzagdnHPK07LiAfQh7TKLaMnM0+wdHKIM8LDnyX5WwMblsP8rBK1PbvD9Ma2G/vbmvJ8Gso/WEGJkux995eDNr+tLMe3GObv84WslQ2+2QWiDI2OSTkIPuVxveo1IGcmwuf2zTXwr53MZUfVeXP27jgv7uWiDJoKCo/64JDGSMBsW1CyT9WOnMasKvRTqbxwF+/hQw+7QDXgd6FvBvOItpMJ/PRg5YrSUL2580hOzo8O8G1OHBTRwielv1fIdB/BB78rjw3jzqhwc4rUFrCsj5jUCu8asmYnuD3GFqzV/EeLQNf55lv/HyfGsBRi41U/HBImNjebSkwOXicgM5AvI9P0Fe6FIB+WHUU1NkTlVMb/0lUwEr229Hxq+bg8PNXrAqc+5oTjOpOh1ds544U1zhk9iCToe1cezHedC7dJhlzRYbdImrotmu9NdSOlNMI/sGOWkpGWgLMb+5KDmF7FW75crE/kbWv06jyQKaxXiijsbLrXTh2cyzcG28qSbOcQB4keICVY0g0sypp0gmEBOQ0+D/sWQB3vNUTJu7HLth9vvOl5s5w3UQLqCV7HScIjX6Ar4noYJUVWzyo/cB6hW46tcmZ0t6sExt9t3491GWbwcWq10KfBt0UgaawaKgl85IfxLRIjpOa16Qdx1sW8X7B0amX8jaSO7v00GaXtXyFKv8uGpzB/mAvz/UhYI83bhNRCxOk4iOf5+gdkozIwp4v23mKVWX+1PQ/nYO77aMuQd4F9T2vxl38iyMzkks1Wm36vkmj9uPcwj8Df56afMnxAeIyb19Nv0uw95Vwd49rvvnWdj9GSXHTO8tbM4MrO1eAg/ICpxmK55k8WXj0NwhTh/v841zmJTY1Nsz+QH75/Lrq22R4MTRzLsvO+tnVq38hCNvlUNjZRbE7m7rKjex1dgbb1SncuaxWv2Umfkf8AnGT46HXg4R9yDD13u+6Aqa3a+EWurIw5LqAvaDC7yrP4dtAhqnOu22Hi58Sw1bG/CvPazljcQ6Ys4UnEJu50EJ8W9yHSrJ2t7guVgJHIwyXOW2yhtLv+d9yWzEi4ohf5p5R6A+anuazx1BJh/khUTN0FrGawz2hl0BJ4Q1uQqOItr9XTItI97hEg/4WRe6LAcb0Autpdu/SJDAPr3bQvyr4XR4iI6M+3fA0c8aNRaL5ivebTFdswfVya4u8Cz4dEyHu8NG/F1qiPuC29LGoyzwTsStlXG2aVbyohasqZZ5jZId15xUDI8UdNX7Tqp0kzvwU1bHftsMGPaK8XbdPmEP/NbLlEWLqpiAZp0u8DNXEerXCbABeFbHYzOfVbug857MgZyLSHFc/VauSp4DvDEenWbK6j9dGfjAg78eKegl1idebskwu2wB7/5YwIddzPA+D8hJxuENOz3ggQ7qEMVpry+gaU+cJ+b+LaRWIk+ApQ1VV1jr/ugoWwbcYah91y0X2J0256h1REHWlBN21l9W/boDLnFNVp/Cd95Q5hGIW9PLeyJiltJRoNJ4AdzPO7EtbSLbrgZEa9gnje2bGZxLjfo1s/4Y7HpzG0+6/IP2aqURP6axtrgL725IXvLXN/prPQucZGIb8LH1CSLms4wmz5ll/G6mfR6FDrPwSyDUmrrNkkkJWAHfuT2cNQFd8vX8l1O4DmUoCzODR63+jnGdSsBeeN4n5+maM3zPHFMzimgltkttzXPmKplbSKtwSWWBRDbgVx3ruBmaR96XwPz9WfLppwnkrIbNe2/o/3roAQ+GrSet+4u7ugBsd0FfnhoBnJmpHmucl508Mm36ZpOU9MnYhI11Bq0CeJ9mAj2YM38zhsNsTUZaNC922YLGJgTi8O25sMG919K+XHjPgfOhwMwCIDHk3FXNGPnHc6E/Gov4AklGB/xDHRnlVOGmlyPEr9HRe+BLPmdJr2gSs0FJ0JLEeLw1XHrw8++exzgXyNQwObXLAYPR2AyWjftt/39+lvjce6Hi0njFknL1GR/5JuvNbGL8A1ykr8NlwSNoIaNdrO1HReUxR/tVUEnO+bwoxt8ear7hwicEsR+iDFNshkebfX2pId4lIg8SZDflmJrAL7sW5IfbbdkMT8CG9Jbu5rxx/jjAy+K88yEOSCJt1HMbAadrCz7iS1a075kYz4MzWZB3P9M4AbwtX2zYMpJvMzpsO8WRd2b2Nw/ZAv9dVA5yT8gPgSNK6uhOxsBehu0R99iqrSU49zY2nmsSvkkzJlHa4bBi2/eed+s1CY9r45HRx5l4Gn50TVc/Bk6KyIr9JuYtRfpifHPliAzGYAHrlkaA7XHzO1/lHOMhD7cli+wwdwlonORCB/iOzH6x8R8XdSBm92mEXrlG32kcWnXfPFjfRpBLYjKGT26baR/eUYypqddwBHAQ0NVOziRrkLak+GPlQfoA3drBOzW1kidznwZrMDcMuFOcvfnGWhcl5CU8HWx/xewPxCnEtbVo0oFeMR4yhT5llh2lnDtpZGpigdsXifFcCZjT3nNNZCO2K3PJLNe9U/167yQL7ZNvEcn8THn/PqvMmR65JedGqxhbS9swnAP3M348kOeWp1HCxE6OTUiOdWjfQa8vck1ktbZHbt2tNPLacgC6pL8c1TVmRmWuHNtnFIMenhbgwe8ZrXPGgPcZf1v4DpB7s/OYHMsudc99swDOVFLIT2n8nqO7dXCbVyP0KACxMv13rePJOYXJA/ThWkd/bPherhzSG47KNV2xJ0XyUfbvOqLZUSPeAA+3MZd3MbYOeW33oMG7VEshOhzk/fOW9aaXuLWBX09M+zczP+LX37JvPxpzns5Ve778eVGRPvL8jw35FdU9wjzCNzbod3zBvv1aUvvrdorSG3DS4UTVBfSGfR64I2Kk09f2o6a9p15zloG+V2wDHL9/0OK6ObpX+B5e1rhIpoigfMUGK/ciBClM0Y8YAYMK8q4VOR2c9HGw9RU09wZDPs0Y8NAxXCt4ttKRVdrLK+ivLI+uN9rxfSM8zoIkNd6uZ7FcMi5PJPB3ede+RJT4zEIPMbSuLLipm+tZ4P+rTVVaQu7+ck/hNjisX5uM9Q/4rhcz4+XE8DMb7MuJQkyO7UBs/VIO8PtQ0pL7T9AAz/NAylroNGfTlIbzwizlMdpmKVKk0dOVsH/n82FDzdnadOJBZgFGlMTyllJsn7CvZQnatCqIqPUU1YPpuFzGBrJtTiUrRfsqC3MewWHvooq5yIcYcFm4/T6HOqwDklUU55Dr3/ewkSrSWwWaWI7yWWtuMRs9jVdgJfCHCDQ5F0lVhTypQTdkhb+vA/k6ax+wXx6oTW441lnVlQ8cLa0qIMdBPqsd852SH9D3V8bu7334qfotKgv/CLzGI/rLVhBj3MwTLlqWd+hCe3sUZs4ySxKICXi3OIE8dQSuFHFHgxZKnHoloNW4rUIiTqESmQPvGjjDechuKfp3tgyfqx0zJT5zDHfWJ8gfXs2voPVUfiq+YM+FjvGRrF2SptE2ZoEWWb5NIc4/iZntyNCednu3Kr7WE/ADLtTtYG25GspNPU4f5659n7M9QA29IOf06ao+gY+dzD4FThimFgJOqpfjij/xCPhI0VUM8wV+t38emyeO5A5UxBH+Mf1EOcQHOUf2CfLsR+bMB9zzlKNklPb09il+Ur5fckSAA9hjViS/MxRqSnLgE8ZzfWogvylLBbhX37luA+xM7YmR+7lfCI99WcXYpg53zpe7SwFA06Dlab9cUoR94M6uiH3+rhUx5ww4kH4eAebT1stDokHrAT+eIsDsUnG/Vca7aiTVmfrPzFFH4zPHgJcYX7+DS75Lqw0YJRp0wk06pID3O2CbY+UYx3f9ro8aMkvejCeBsjWlYbhRlrcqzcuS8SOzvMvBUgh0+otxtANdcATuPBL4M/nLp3wf9tWjWjXJrC3kmeQAuusq0ORUnT7lYe/W/N8c6T7X+FBx9JOvnOUuM/Vm5qzutw4MW1umImTxVfUVhXyKsmca2nYd+DjnqE25kqm9f9bhFLOec9G3eSp4cPz1ciVmpk+SD/KN8xi0gwvPEjL44rQny9l42Wqep07iHe2JVGELctVHsL8oxNQgndbOrTY6FSo7vOYZeFL8313ABI/bP5WQsubk8xRoq4mT/3fuwammqgU9OamOAN+TG8ARO7WbWxXOJjdDLto+Qet98mhBEKNmTsI+DcPl3MF+dQg6h97HGTCsNLVyAbnJyMyLIEfQ75npFeMI/bt3OIvng67ErwaV0Jh0B7vtiGkFDU2cSdoU06BYsm/cNgWMoubONBe6OLigcCO8QCZ7lp3yylHxlOLH0cW6XDmGJQ7PgbrL9X9zYGDfRaW5oxY6p8D3TF9GKYjxPLXPlNxxzxbQi/dq/euyHs+4QGbWyQy4eUidxgWdgyrLzGMvl3QArkD/OqUL+3hgrhy/FuqG75rbV9lv1ircAMbg9gRcsLH4/v/ubvbwdgYxpKaHFeeD93MeNRVIZ81lboXYfpPXHFMLFMVlnoWw41MoQSAZb+XyRUPkqCLcgLZ/n2OXqWkAt/lP2rNH7Wx3uenRYgmuovba9FcPMHitkPZUqLM02BsflrZcddcE/pQG2MyRnJRpK+unSvYLZ8b/0ZoE6LjEzPBW0f19lgJcGX0CR/pgK/AIJE3f9rUKCYPvx+F3STpqAbqrz6z29xwa1tOpqbwDztzzXklzRizX7MZiUABsSfGqkjPSq9jNPbH9obH/+dFnqaMpQbzIL7NDmP7MITfCXgZ2+eUdnXYl1n41Gjc3512v+43Zpp9i2QF+utRNV9lrP6XJg7ukL4HjpGga8aCewNskt2zQGv9q5z7Ty9Y9DxNg/TYALAjPXWPlLNzA5wVZpwcRoB/S8wLwC/LuduDFhFXgJ6VDHhUFlSdsXY+ZWw5JWF6213SUZTOyBXdfG1gXwHPyrmn36RqaeqkC9PvLVAOlNHvBOkygnayy97yczTfAth/g7F4Tykca/11Ool2AZz/PofEhbCnWhCokHw0wtXrQobnbV51vMcB0nP/z/7qJy/YDh3+sbORmDpkNuI7oAPxOZAumpt63TZlYSuWqC8RdWY/JPWPYzDpamOOZ3ALaPb3BfhHGRxy7OheDx2TxZSlOfGLd/9VIc7cFXk4+q86vCFMcO1erHNoMOKWdWckVQ8wcLPgWEQI9+OuZNHMXeBbb+pjhKQNdjOmXC3zgmwY8rG2slf1bYz1j1j9xuHnfjRYntniZ9kXaTxnlX2vNp5Y7CN6FxNhNwkxPgoTbfVWwVxp8LafwaxXhTECnJdzMs7O8D+BRTtqj33qPVKAX04lP2AY4LokA497zUl5EIy2CvwuPUvM7Qi5sM3M6xKGZ14UX0AQJ6beXptcEuPuG9ChKC9JV1my4KLy3Ly+3eFQN6Usy4GAu2QMeQ2yUC+iGrrb5+xw7Pg8JcOS/7onJRAZJRyBWzkazIr1UkRoY9XeAkQce46WO5OG8mzHon3seNA8SLuVxBSkKa0pW8pmJxtTWQ86FvRy2M9EqrPv9ew2TxiYfsveO6WUGrsFsErcDLSA2gSvlCN1lBJigjdYiqLE5YtYMeRGnR5AipY2+sxUHhlsYfyLgKMGZJ09Oua+c8gHfYi/4vxmSm4rjI2FbCqv2BC0UgE4kjMKaOAnwf+PXpwI24Ne5Z0/lck8OoGV62+S8DzM76MTbQATtKx2v5vzq5yS2pxP3L2zFfcoIPYt3z8h94WIy84BOObxDBd+J7baC2/uHCLNN5XgbOhDvaD2tfFDfmY3dKtwea2syvpopaPBCIX8PfD5hdrLCmm8qBtQnTDAPYL203hON33cBwpyRA9c7GC88yPe2maRVUb/AI38BFps5PP/VClt2eg6Tj6bTtBGJqRbF1dBbis1H4OQJcJuHYPJOO6VBWz/xwE3H1nTm+J+/g+mhapj3k/fAm2z1U4coyUR7U8OCJexpClywFgq0driYajajkSjEf8VK9+go0PVqJAEGra3zU9xGTdHOavAu2Mx85NOsQKe+z/QAS0sefz2quHyosXxUZna+5X1nxjvLkiW29g7ucFUy2ylZO9WOZXONJ8g9mJu6xcufR7r788gLXVGxcaSZd07Z41Sk69FqXhBH79pUL2V/HgKhGGIjEkHySgfPxbHMWNACLywfovAt0JCXc2Q8UeC7xLwTfepwM6efTdfM0q7Q+ipH47vMU2yFFgVeXa+oNffRqbV960r663Mi0J2bOdOW/AE81HSw3NLVh7LIXgdnehBbtaaGMhuSCAOLPVqlxdb9E3S9XfeWkxWqkJYHqta6Ea4+pdEHfeLiCBPIEW/euwAmX847+I753aupryFmGYaYA/29kGjZmXqA+r96gCcznk0seeYOmfCoTpmYn9IJXyTaSg5KUoyI8z4pADOBa5nZsx4pC/LWlY+UylczAG5aC0QSutassSqX71QHGt74f/XGa3HaqzA5Gq/ac9S8iJjN3EPQ0f4DNNejFn+ciqkWPlND7oc8n+xBL5McNHvdyf/NWgwnxGJUnHlvfDtnHgMGB+nD1O+olXSC9UtJ9UW5f9fj2naHlRtPBARcfczD2RZjCWuFngyBpra1xyA/nJCPGvfqHl0VV/+bY4YP7lQ1K9GAlh/nftrTAGMQM2UVZ5BT2gr0XAD885DZ7W89LQ38EHgecG2MTT0jC8ku6/CPdBSRgNGgxZwT5+5Z2MO5w3Mj9v+b3Rfj7rjySYi98RgEHU/makS6GUP4MwUY9OVAPr2fdtun8XFsOjLXQev84kWkfOLIz7pXEe5BO6xslZetrNbkQ9F0Q0JtvAbfc5bGav0yPVBxM+JDOXDJIfZl7G9APxDgeJAzzQQKuTSFzNTI7bPQR1YgJ2XmfpK3Fehb2A8z7dEJ8tJygrWHPNLxvl9q0FQyLv/VtOc62Z8Q8VgM+Uf/3ah+SWmsPwkHPgi8/hwCzgx8Kq0vr7ESc4/0UuHkZSJ0KdsD10XftXW1Veyb/raURuiahtMd2BCjI1lp4b/rHDpltaIZeYBFQs8RgfhHRMaJQ0efK/61YQH6MHVGZt6n6QGtLOP7ow6w11zId3blTIK5gMXD1IP2LqpVJjjwBQOmLSN0qPS/vtEDaMcPGvPsDFwent9hA4rrEYfAZ3AVJxC/8gbYFhCRJLCD8rJXr9LwiIG8QCPt8kG3wJM5c68P+utlZCZ9cwn/fmRjY84bi7dernTopJH9c85nduaTqX+Kz327E/1mqePUkTailTWBNmC3rCAFcOgHs9oc9lFcBW1Vio1dA7dgKAQGdLfT3fbURMkd9EwJ2rmS8dvb9L45cX0BrndVjipBW37QgHnNqr2z1ptTfH3xDvRKB9Q2aD+y1x+r7ttjrlFej+1HCjq0CtSEXWkzWx3KXnan4MszfmdyKJ/AN0piT+8zWNBre/dUXFcKXAGwomMhDkyNs/Faw8x70kA/ZchWJjyRrqWlrNmc09zgz6LUDhfiKK9B+Gn8uvPe+5YB+ZaWOjTAUg+rcQWZ3hzb1OSBPoc1GRXLOXvW9hSk0TbksP+lwEXDp6IebAG579mwaU2Z3dUd/52pUnK1KW0Z4VFyrNFYBX5ZOtx4r0tiwb4ZQ8Cu+X0GezxYgLEO34AeLhlNgNFKkjPAKcgLxOJeDXonp9Ij8F1r05vKJ3Of4QOf6kSggQjwNe/8IxFbTlAbiX6epWOB3lH7JkQlHv03Pywb0Aap+3eBeJ4wm0cagf4A3dOsCjiRpNL+na07VK9tyoAq5ZHsJUrgn1akiE/wD604yoFb7c+D3BydzCNDC7jP9+eO46b/fz3UslduPNbY1fiQmHPsmXdmbiN+pgM8U4GjxpW37AVxbyekAR4JmNLnkWmKnO/ARQ6C4yu8My+z0CcL9UCKNjsPS57ZSAAHeK8haCDgxWy+8yBJQZc45jy9slPARn6pY20rMy+vnyOgfwUb5h013psD/4acksrdFoBMC8DHZ4X6l7kbAc6yZEUizMxU9f8RdW3breLK9pe4mIzlx2AQGBs5CF1Ab4A8QkBgYhMb8/WnlN7OeVij917pdrAozZpTqpql22cV8lcPgl/afqjW5ALx9KyL8I6deXd0mAPPVNagY0lodDLaNaF6/NadDxebhbcFdJaPi2k9RS1w77kyngTNmsy4tx70954j+eEuLkFb/91JQd4sFWvTJuSmvvkH1u0qek3hO+TE2u55LOODa/QbH5Tgb2XR9krrOdXKnEntSZh8nbi6YlHeTxRymsb0zHkhAimbSN3p8JrNfQOw9CPQbj1e5Yca9zYO3lcR86FygRdZtqnt3ZRdv+Gd/k5XPzDVcCrAIcTZnfamlnUPXHg75yMvASNvZ8hB5uwUC8I48IODy1932S7kgii35QcriEvHFIQ8qFMkF9ory8w9Lm11Y4X/rCP9k0KeAN4uQLZHvEMVH8lHE/hzPeAfJsiVCszO4ZRIByViQEnJPMg5f55ppl+tz/uFMIcDJ4V9GfuJFIRQ03vitKzqECXCBpzQLen8L6Wlm9ptVTnzBnBvd9bJQvN5wL81CZql7uQB1+3TiMD6q036/Jv9Afyh9PLVtwBHLRp6u+NzFhlDi3Lsj6Mz3/GITyLynpgTLnqVq6h3JMIrXvXbObSe59gfzWnRwbpt6gA9GqoI6Hm/dlAJeKBJpF8cAD4joaVr3mvvUtDmJ0rean15SuBxMsYnZWJizFY2XKy6Y17tKJYxBXhj5vwmA+tDC2vfOTy3hsP/qK/bFbTuU0XSqYfldnQ2/+vxuVl4988+68Y72KHDdQr7efmdsyBX7mGNde0Yv0iel+v7M3NVdx7Jk7rTAjzTxqBCcWe0oxwbF//kZta7k+x/vRFcBTyqHVin+xcXxc7mDlzfqa2HDfH85FySUxB6qmMPrnlfR9PRxLpEvlQ2YkfLfuY2ucH3CKUL7GlQpu/nmztJj3tTk8arik8443rGYTJUDL/ODy0Rt0sDOHCOtQ+67CvXCnEH51SQAwntXKF2PTiAdzaeUxs9gd+5LGor2hHg0htAGN5lHWAw5II0hHetVcqG5IhBhwEXmUphv3DDyn9rwoHnCf2sNT+RWA15mF5NrQJfjU8oZ7CnzdnzT20jlzjAUinKjZc2UKmv3LKZet5cAjtTibnPmbLyVcIzYpGP75aMklf/8mz6gIGLI6MzIEdeaSCzBnhz5dweBg/ZaGa2Al81Z84CfWW6N7XrH2mvd6DVQ8C9BxNoB1rXA05eiT45ctefiJ2ADiSAk/6rn8hr2LIBLvIB+Doxk6PYIqTVbHIeWqY+hNLWakJvTruWkq9ZUGcaMeRc0N3SzLVQDHL41/ZKx6koOclEXK6Vw6wSuEPu4LcKdMLr3CZlXlCa+0CWPeDZotqdTvAhTIXkaeqPiOCAazMXon2oVfU4KO+HVdlHu19Z59/o7p+VdeQIIhmwl2DRJSPE74NziG0X0NR6+R/enlWErthJN4fnbcOpNr0WgC8Jkc5s6ha/si4x98s98F5eD8oycx8r44It2g0BBSU7fZWOxlXfP86hzXL3cwN68Jnmxh9R5mdgOa/7yjRgjjQe+PkWuLK2MWgG2O9ZLjx0WPWeh6Q8FYmZ5d7m/VaXpuetQ+mZmnOT6VlaKK3dBAGPPfDVf4geubXlVY3N4LPRFf7udYdYpM7l0YQS+EZmkzE5pOhiw++4p0W7yr797W8AXT8rKiHvbNMm4t8NMAPQM5Z5b/X47pjZWiZ3wh43dcamdpIy97eH9VDBPnudEWXDDPTf+DhPH/Xot8z07XbJnHJl+o/Xki2aiomkcXtsAP/PUdtCzn4z9/Wge23sJgnm/jFFk5ROQlmsxrxHXhUulLst7CP56pVmtGhWwyRz3gN33iZpxD8oxMmpmL7SNTWzANsTn1aMpOkdHY8OsrCbufWwHZtwWs9jkqUCWQJxAdn2rVn5RyU+HzKeMLdbTwz6pYkKHCeuiHhV88tvrRXwOdACSVQXgG39/F1BRBOUWZBHSuAJFQkvi4z+uebe9mAb/xn5wC6fK/gMNZCPE5UbZqHLCWGSWbrKh+R15vAG+a5SHb7SaDLrm/7eTVNs52Zuc/B5zcP/vDMBl0hjtx/A2eBniwXf+FmOsF+pjzHFz5zun7Wwl0rAe9PhXenUUZZnzlWvr5ivC/1VAT8gvcfSItHwfvfE1RO3tj/V6G+kSO3S5ST/nRFfXs2cTDMrzfgVwtazm6HZNIHenWlmqSBheaF82rM169AR9IGN9eV1BhsrTsqU4QLnWysTG48EyVWGSVyFmUNs/0oCuWSWB3ikj8C9DwShqNZTmGp0V0zqJkgd0aHl3CXiXLRImf4krWA3tp6ylSe5et1JAZZv7HPPCXURxI0PvCMRqfASZb87JFqAY6YeYXNX2uhSC/1Fi9Jp9B7i/J/VcP4s+4udQj6QscSZSJ74uY35ur+eilY3Wi6p471ifuZOZpl5hqARd+Vze6GR/WVqirilQUsYzxeIwXDCTWQ8VyBGRW+XT+DyZl7vYHqukgyepRIh5JR++yTW7V5ytAGOGGUaWAx6zby7wfpPdwE4W1pbTH7nHDzMGQ58hmylkJUKtzOPyg0WwCdMRviaJXYndo684tzbgI/qN/fnxufMsYfzmDrU8Z6ARZxarZkJ+XcXYGKCF8plEHdm3gc8+xt2Mhdb+gS6TtAOXRs7ic+gQ6RYJInQ4zz8885f84NqwgjlHzjyrpICC1hVarRC47Ykt5ISA8bifP6r4TxYjWd6uEDvfDEaPlg4+6cYok+3+8ZUQ7HtrXbk/rC2jAxcq2E5VcOndeL455RvMww6Ergs8FScNaBvsc2vOcXZwXnYzag2lL98lm5P0K4XYuG3JiIxB61f9yjJirYTX7PZ1wey+jHw0jvvABUGTyhrmaqRf0hzrtLPDLj0o17JiTLvbnoz6Bhea+vfA3hAaeoxmuLVezu3afjPyyOyOf+uj7yUYn7KcKu5m+yozf2cy99zCCYgF9g4FwLe7ehb3PlnPCAE8Ne24TJQSM6VmSdb8J3x7TbeVVi3BeiK1+/C1FVrMyY7yFkoX5kFfMnLGQJWCBp86J0qDoHvTfCsyRuHXMe63lNOu6td3DfAyXG0HUAfw8/JB+vxjfJ+OQ+fy9Fp3V+fW/bnK9KDHmmJY6e/81oQ32GHgNaeHnXBJyDuBEf2jY2tzKzNo3G2LqM+p4NXpD3elf2/jWKTUxvdEMiemX4A/Wl4qQXYkBkvh3JIXrrSZy6a6sBfabiF3NPeqxBT0B93yI9VqnmeD5v16JJD3etJhcCvLWlBbN45x6bH+QfieqS/95feo0E64I4ynkQJdqY7vAOkQuvFD397EOqQ3+tw+92s/3mj5zS8N2ILv+e2AcyLlDNVeX95mLtGyRYM23mqI1SdCuxX/VJg4zNEs3ul91dAwK/c2RaVq06ia4ua/vXCXESPMdbAwew2BW4Q5r3NBCUei6Y3wOFHHgO+U10q2/dBQ25A71POM0cCNh1tPwV90cJujVTYmNlWRzHI9Nxbd9MzBpzcpRC3fz0jrqmf1qzpdMVBEwF3985sO5wHsmfd+4N2uOfI1IygXRroDHiZR230Bnrnv75el+9EQUwN6QVwzDZ+jHXQP4WwD9UoIYDnl/7idSyvqZkd17X28Xlby679rmz+rawM9vnjjsP5xJ/wu2k71aMsUjHfFcTlwSptauFr3W874IdvNDb1hKbF4fN+Rtkd6+Tt3GngUfrljXmH3+XR/lfDD5WDdyxSKS3aDaaZubd9K7/+XVOagE4mSQ2fKUDXqC4py7W8mh5RtrvZ5drej2sCeXnjsaG8kvzfHbTsHbNlX3d/HndcBI1TBek9F+1ddgk6ocuz6jcbUaAHidRHpVGBTc/oYJv7/wMejKetTIj4Bxg7WcYf9revrUtSTPXHqchWbNlpTvU31RcIJPull2k+Jh+Qc/oTBHEzbJ+AwNYZ8CZl5Al4HinA/KN7AX7xeTez00FTeJAfYX2JR1Z8Ba15lDZwxpED523fIO8iZREJeWkRQt1Z8ec581vjnA9I1kClmDUtFWgB06dTMy/kVgL/XwXnroU42zhmn554sig0FdKRC0PJnZretVFfpLUsp0I+gM+aPq5r5ZDv3JJfzMEvvfxkHHK4mRtEWw7cjmCW0JxpQRyNcuBDVWjfgfMs2ZrIhr9bGLUbwDHgWFNcF4C1blKemT1CrMOayp+DbSqBejezbP+8A23Sb/96A0v+7qWjuf+ZAhKqKO/DFRjjWIm5qznK64EHafD+NDXAmKqf/3nQZDTgZTVi0HLyzlfcHZ1/dy7mmxThSvLtm+ofjjmPAI746oXZkxhUfVdej+5k00gnjbmTspXxHnimQ+maHmjgZH46WGtqTSdT66e+/kH88B2LLy7r+TOD9T8F7GrOC+sx9FLj6Ytk0HRoBzjxvzi8ucp4U8IOT397WmWnugZ4Gv+qKf+G+HSrWGUsgPcPEs/4A6R975j5yanYxnjYOKUzDWfDQ0MsG7F4adEDD9M/kuIbjtA34/rVd5OcmWXqDLyzlgHo+UFB/ssDZepokQjxsba2bSbs6BTJPEXAS53tApqlOwUKuDAezyAA1IoFcGrQZ9w9F4C+vT7WArXnQa7SIa+zSirCzZIW+IMaL7yitc7RAhojdOnIJ0UTX+jJeHzecwtzJR5LyibCi+nWAA4CKveY8ZUObcgs2JfWXFGL0LInLfz2j1pjCvrudd6Lcjbx3JmLM1JH5gA/i+WuGvRBIW4xgX8EcHfQQiK3lbnff2JmWakbPlOL3Kq+2XA22+chWWgxJcRpj8DXVgnRAfll06Bk12j14od+Yy1hSlWGI83OInxUDDPQ4ijXwGEdwk1Oqu3+XvXbyMxVlr/+dvaUrslbxbZr2s8/lcVd4Or0xEvH+F5IPt3PonG4k5hzhZf37JHZgF+sX+io3NrUaQK2wt6+Zxy4IKh8EfhhvaruPNij8XuCWLzw0ffP4X6paehy4UEeh7iz2jLVnxvQLRl8xysutAbut5zEnxeBPuc3L9UK1VQaL6jpHJBjLpIvahOZdjxprIQzmtkssmPghU9Yh6Iy/hHuHrAc/eq1U2hf62GzZO5+KYfPB2B8ChyuBB6tQcf/9TuY7y1t4+/9WCkiB+BZiAzqSwJWEItbVUEehxX2So8hFyd30SdFY6FNptF4dH3gRlwq2/Ce3gZezThFG+B2hzNPOvy1LRqKX7lSs07Ggk87iJHIzMSFbAo8APvN6geAZ4BLyaFB5CgKTkC/Jg0oTBWqAJ4X4gHTumhD+NkqISYy0EdS964y874D/4f1++WMwr8++ip+95hOeBVtr8whFuTz8BTZWvRLcopbzMN2d0b6mmvjo+r95viUqXsq5OlotWtVtBSeh5KosUzdWOoQhq0tYJwNa5Z4jSCvmN8LIdvKudwrsVCF2oL8l1tNr/AqQpn/+lU6M4L9vwMeuHCNj0e3tA/WiwslS14Qy/SNitC7liu/nrky9eVZ3vFnjvDL64MQ3W6Ehh3ZK9jjy0l+bb8w5K+S8Q3g3Z0DlyQa3okGPWvJKKVyFMBPz3qCiFKmzq86o0lAPv0SzLpXwK9La+OwDlXVCvzEkS8Na2c2hvxHssrCwHVReTJeiI6WgIcXc6ecswV4ILkq/unWFifEIT95Rx4S6X0zMtNP+FHHCDEG2gn4zFmQBx3/8y2WOnuexF8PXUy7NpUDiHbO79nIr7KYbNDGWVP4p0qTzdHC8YlLDzs8yaNpf/6taUCCxjIzvoK4aK5ST6am6qm4H4oxM/MMIJ/wU0Nbt2Yv7L1daQ/YjNoT77ONeQ4Sa7ca3++nmKAq8ip4zv/8Xu298YJwy16bObxvFcqWytRJ5tuffDRzyRIKWu8DhzapLeDD0TKchUqBS79qifPzgFgakS9QDVG+JklufdpmJjsRibm/dzifQJvhBy0Ar4wu4b4oRYsAXxjo3bUae9CsoE2BGxGXOedIx4z/evHYjbCso6NfdZWPKpbTwfWNJ8dUCTTKMDlBrsqIZRdpiN9KNkeZs7eJiwOOLuvR1hNfUZiH6RPeqV92ZCDwrsjY7s9D9syd5HiOjFfo9hvbvpnL+sKoVq1kYNHW3GcD150PZ1P/FklYN91mlI/naPrOh212ND6VIXM5JS4RugI+oAGHPvL4YlHQ5k2MHcmSHejorrEmG/LnncbIAl764jb7s2gfMpxuNSI/J+pP+UAGOfo3PEpg1+buprRS1HsHt/0w+zU33o0avp/LnieaesTypnJolnOIriS0+zNAT+M8LIJah9JPF9P2FYehem4dyKXiXPzFlQPx/Pj1YojbE+TWPewTntvmvJCMwD0cU8fLRnzLQDdSrTbAp6IUBA3TaOWr/2XqWOB3wJbzP4Anv85tYG+rH+BhV8nfIUftH+lo6jD0dw05KutanvXTIIJWkz655P1ciHzbp19bK/va+plod7lDPoBrJalbwj72ID1hVwgM+Jgg4C3Hc++93tcz44iUq3YqtrfzTh5xn3woq32jun+a2quq75cTA45ry5WHOjibunp+WYDPIg779tzxTPJPJ3dwDFp6AW21YWGzqUMUlcV+MTXurzMic94AWr/kvQ1JyfQi6asKEc0dj5vbP8jp9GB/PlOKD5mt4jSyQwWcH7ir0UJO5SaAFSqvC2mLTr9VI+HAXy/SQWFl40Bw9boLWLi1tMRFc2WjW97BzzoftDVgyKr1b85akwCvfs/1hFWMfEFRnFFsQZ5bVdE7BPaIAtwGLjTSceplH27MnDLQ3oyxxQPN+fIzP0D+wWnQ+ixMej7YhAY+6Ij0kXO0YTwxz278KiT5mm/psA0q0VIqlpUH6KieN+AB7b2xMk/2015EcwqadGDBp1UOe/fcm1ngf32jH6a6QPSbFTieZi5mNddf+eBh3pcPassT8CtCRpWCrngAXkUVJ8b745Kizysb5Fy68gZc4+fMpqPpOZHA700vWjUaD1A9w657+c49cnMm2emoAf1iPLzo+Plgtvyp2M2BdR2yvrxmrBV5qO+sB6yA/SCGiTcW8DLYdtUqn1XBZerqUyZusF+U8TobMNf73DazaV7zbm5e3c8RY6bmEniANd1YAZzFZbbKjfdlafTcwqhvpev7ItjMCJI4Bf1TrUqWvW1xNsXpoGO+qjmP/RE4Fz8L/S1jbbFIW6n1qqmYaWnZEdcS1a6/F4HszkUIfKs94pD0+YimtJOtYhZ8//RJ2QJaDUgSg/fPgAcWvsicf4+avq+ggczETmrOL4g5r1/lMXPlE+/+6mCdqmO/9W75sPw0o7LYqIETIB+wTpfDv+thBSxxAXnZcjtTQkB/tE1EbqYvmf/2iGhy/poB1/lU/+od+chRMskVnWhPnirSr3PsW+VMYwbM5+gsCRNtktnSyhxMaeQx4Pe4HDCpbb4T7LayoPSI42lpvF4KMpv5RY2erLRDN2VZNvDk56mYzF3hco6lK4J3O9Pkpb/eQE/lNPYHMbIVYsrmo9KAW+MJ+IY5x286yPrWvEhXplWPgE3LklkzKEDgEl3CIa88RaAmwINHGuCZDQ1o65YRlqTAk/F5aF5xmOeO5cJnP/JIO3WvAg4EjvSXhQgzfzDRqUukCgCPotArC2bhFYdVPP3eV1bCY2Y2bglaP3fsqrKnX/2aB21GDLeh0uNus/w/B9C7w4qMJ+Qd1tgTAX6amjHY360s2i8xEk8J7J1RDzoZRTlXw9HmMzW3og7KqyhBpZYnaRmdOeVmFgXpbQI8kfCe8BPDr/OoA4uzBfgTcGh0BQ0fUDPviZNTbfVrqluchyiROulLqzReCqXQysxT3clo7mEdl6wnkYwy4zdW0njKsvxmq3Cpaqb8kikpevLCqIqK9tq4ZGpCEgmhx1TruXSQICNvUwf2CIPfD+t/HoGHDvOY93jM+YSafnZSl/MaeCk1PaJR+9VYoKM4FiUPnRMF3llI5+iqP19H489gao1TwJczz67A2Rce6UABlyGgg2k0kVMsI+wkuOxQSte2Y5Dvs0G5Mm73uTA94njJmVeZOvNTYGq0vItyyxU2yC4N7T9/m1yzB3PlPXM2K+ihiQ5ES1NDX3BWB3v3RBVo/8/NKW7uZvbpuft88khmWUHezHwMHjZrJWDf9PpDUPXNgINxhlu+mzVwBBf07Wt/fTRBeAUs/4B3NJSGw2qcsBVWn7ZM7v5tzgOBz+MbtYIS74BgDXzfMNv0lnkyQhV1FRIR/oBMHEGM/ZiacMBSt9FtavovzFnVi0eJjnknsdyA++XA/bLjSuSJ7lcVbY8sUvfS2R4b5s1qxD0VKDF1xXn4zy07fD9AtEAeq8ho5nICPxnNnf12wXbblr2ZH5YgwODX+yohP77hgNzycdqlfXLL+3LDdrdHOaagsc081MR4rxJTX10JspfxJICH65rhuygQIOj786x5S0YN3LwNjpb39jujhvpxQxEnunyds+Wmdw/Wd2JFf+WFemMaa963KI1UIYv3K+mXsHKnRUI+rih75CHk6aF/SMj3gPsd6ZIh75edoNolrM0FkxNztBbxFJMYgUb889Uf1Bi6mdgav68IOK84M45ZOG244xUl1RTWz8zrjCr43fCctCmAk4h5wUw/zQw8TiWDDFTlxbtHAYtrsZByQAu8x4wxjCr2V7Nk19Y84aGdCOQpyCEnEiSCObOt2ORLZu6WFj+FPZyvKufD5HCbJxnHVxqqO7YeT+7YoLAva/k1fxBReuZM5sTVU/7WFenf2akv7AV8AY6kp9NuZufAeNTpS2XtH5XYO8Lw7GHBNcoezEoeVf7PxjQpIa8G51D7VUjyOtreOOiglPH9EZ4EF+iigtCtKDbnV5WIX/4b8w8FXoq75g54jSHuMxZNo1zlBnbvm4yWBYfbgypwdApBF8eGbOgC9+U9Ax4FeHaXTCa8l6C3rYXHPjW+0FmhhjxKirzwM8gcrzrza6Y1KMrMojQzZ/L/5SxLHdJhceqO6//08nLIbRnyfn5SyIV4QLHxF2PhFrSKPNb681E5wONCneAYPwlK/BJ0tCg+Hym7vXLKRxVJUlpyqeCx8lCB/pmKs9h+l6sEvqB2VdwOaeTtjP8rHzFpAE8zF38DZ+wM51bD56Mp1D4DvpqNQKvHKYX8j0tbfeVUFqCVXr7fkAdlB9gmiel9dPkDNLBbU0AthkjtZCuzE0pt49ueWbxArGHIS8USwN5ygQ9yUPQTddI7M94+K9csRON/exmwYU3ynL1i47bWQWNw9Kv+9XNabuWaTMTMiBbJktlTVIcLO4VypxwpM0pwpjkjFJ+wrXXthvYJ1v4sQMuMoI17ciXdHjA5AV2tpjTC+xL052t/wZ44njtkZaO6ENQv+WCDvsLc3IEJ1l5OkSozR7Fz2Aap8XmM0FTFel/v5hK0DLw78/6MF+jeOdj+pbHsUkS3DbHxRfA2w84U/PENiIU6nN5K+m6lWtHa4qXseHu0CbyP8AHqZMdWSQTFzzOXz6ZjVxXZb8D/FmKR3Xl4LLA/SR6SDTa1PYCAoJfkiZvacFXV7t/7+mmMz2GoGXD8AmLdF0JmdejNuDfeAaB3RpLko5+dAiSOq464Az8feWn8/RT6vLNQDkcL1nTETtrbaWmjD26ROLXklVvTgUXk1eNTljboOdizyvhHCTVVjrqCtovyUFLioID0wAmewDdjVGJGIuaoycxtLQuSKsd+A/7AxJic8uGfZ2opRXF5CuMTGCMNeeVEVvQ679WwPqBffV8NJM6Ex1OhD6SfWq4BrzqfVNEi8NfWBn3pS0smrPB1bs0j6bFDC0KAZweAEQXwz28leHWi8qNmyzN7zt+4X1ij/dcdh8uY50DuSc3sBTr6sRrLFT9n/dvnHG7LdDTnNuouBvVQiH9U+rJRfegQjSkLW9Ab9je8K1P3bHxt36Thq4Ha1UFoTv/cCuL41XcDucA5uP6XpL4vQrJnrh9J1Ds8bCEn39zyt8dyY87dADcb72gBb9htvYwtQlHIJ277SIfLXYRekOrmLgAzU6f1jRcB69rHibG/uwCu25FrHZo6k1NUutRNloO7vyrdfqkg2Rxc7qju03gpgXYj3jm/3c+9XdCw9OpiqtTaZgz5CS84Zw73sGXvAJ973m9vOZNYde+vvtGrZG1WRe18EvyQd6a3z/gB9N7R2QCfkAOm6Nggfkzz+VKhd5d2+oMKYMXisQIfvZWgF6pBAWIkLA+nQzZOxo/Oy4etfRabhbv+644enj95iGizpkaXa1nJ/p8HHCXAXXs7C+Yppq/SmkZsye+DjRjwLu/XI7j3orpPAXO1LAueV+PehtzvUt6vNJ9HidqSceD+/e11Bnsg1nZHTP+TyWvjZXM0/TO8PdSxD1xk/5QxM/XSHxwUOo6ZC3t1x43HAfIPvJOQX9oHK7BNRn9Ssf+RWeokAavhPZfYwgj2zasnaw8xKSA24wZ0eD2Qh6mzEn2rQYtdWa/NbK8DofoCO+aYMpkpqnPgUijXyCMDYDAioJ3VmEYoZAL9+ranoXLTAX3JIfn1MHydOTSFL2vA61rMsBflG2b/llPUTnkP2pL18Mw+rot351zgO+T+S87mOV/lNUXhsxkJpXw6Ee7/lINl/E7fOJs3qftp5z1gZ9eWdYBePXQOLy5r9V8f5T61p6HioI2+5vC3n1lgwCMN+artIDfHIlyiekhMLaUAHrVpQuCXBQe+YNO0Iw+y7q+mV+YUo3vmJhPwVZxq/9VT/JPm21MVXR5He9KgjfvfmeGg06sR4tz9/PXzMv6nuSV7wKUC9oX32+cU9xshiJkvdeSh5LSfLqWVPeuA+6DJ9we7NVz7WLL2T+txBspJJ2XlzGZWszZnOiSCmBHYaaypgPzq8HiC9bQxtpnpOfoBbHycIwS4hyYlyEAL/1o51ia10xW4U8aD9w1gikhhfxAX6b8aToEO8LwT0EI7N3Wbgz7yaP+EPRXXTH6QTvrNsKWwVhMbE3IS+2s2mjmUcsq/Zj8zM3Yhi+c08WuHxILLXY5kToDH0BCH2UBePOp4NvMlIEeeI/lzFhClkPdyaxqAI30A93oqmj7PhZmrYGYXEC5QeZcjYJJGkywgezCZ5qwlJeQK7mzhe+sUPu9ZMwZ8U+7OmrzuAnwOG67hOqgs/gb6wWoG4qW2tM96GlPgc9RZMqzLR8pJmNvToYmWD1FoyiPT+8gRrDNhg+2IONscnCU19Yb5yCUBTMzZFMue/N1JHVZtPIsT0NILBj0OugK0fhulPWjWwbJSflnxShzjfZPZ7CEG/QWa5Q2ywe4sIPmFoDOEOSPe8qxISgX8txLJrQ6xT/qtVVrL+jojIgif2LDNgG/wPCivymFWyhIqBxt4vtplxSdgWrLBHSfA54t63bsY8JmiNsWQR5XdbkhkZjuhJC8kYIp+Y3bLIBeZacyPpn/1SkM+g6dvBp7llHTU+C2B3ksHcgPs+DFzUOB9rdjGA+tQR2wZi6+5ODyBqxUywQj23dgeIVeuZH33zrQBLaxm0KQVDmRr7rFZ/Fd/uDvBc6dFa/yzh8aZywYwpRG4wAh9A+bPaeix2kXBwUVc8vJu5iryUcObVZOIzeeiBCIqh7UQqTazjLwLtdkKsQTvGPAKcuerrhI0TwdrEzcdAm7jx9WgP1jR+oThIEfolFHMQKugxgkdET02qfNwQJc+mSAH6tgH44VXOSHE3aeVceCs1pIDh6EcoVACv5fW9m9GfMk2Fuy3iFPjjWj8nEhZUd2SYWt6rTngHT06SYddf8EjaNpVT4ptwzPVtoqNH5v+ajr18dsfa/zdOnUQFGLS1VFaoL3U/ktX7lnUrAZzBeTFM8cyW4F3RjzmIXPPo3KlKzHkYU/Z/aa0tr2iPfxd8iwL4P3M+zqPjZ0Cx+Ed+oG9bubVPVgEfMFqe2xqLdfXXRtwgCgETszMXeDb8TljWZj+kMvVvBMe9RZwCww82sIhoiSy9Sn858iI25JlGxarg/HkUu7k/PaPMUlqq1xNfWP+n78R4AR7fS9zD/WgfQjfWR5O4WYFLJClILfSsUuiEQU68EXD9r+ZC8YPf9iaffqsCoMjzDqFdsaCJK+Qlkafl9b8TXY3r8q3tDaztLv2dZf9ZGy/gfeIaLQlOVMbWBvgbynkY/TR8PdrqdVcOjKtbFzitXdS2rKsR1E5kLe0Z0+F/F0V4Z90SHIR8u9cWDa8kw3jfE6Be+Zj+dKwYbm2Kei0EH42MTPjwVLPtOczGcmH8cMC1D/QsW0Bmy5SbEVVMKscpjwDHp8X+uM8yjS1PLd09CXvQFOABKs0eSOQE+pwnpj7+eIbWW15c4PQLae+k4sZ8osm3E7aNJIfDcWcA98ljC+lmIxGHWjHp9/ZUtaMagt2uuAuQUhUwKkrruB/772qSK4127aS/XvgcXrVBC5k4A/gY2uj9YZZ3oL71MFse62LNqhCHICMptzZP2szH0rYAYf8wlZ/ZhpbpsawZKa+0Tcz0m+Zsz1J258b8Qm8c7qTaDJ8+HVHL1WB8qbTb6kFe8kiPBcIYhx0+to6zPisOewqbYSItTcK1MktOwOeFVYhWg7Pf/dq2JbU6H7H+1GA75JtZ0mB3zrtxXToNNGfD4z76489qBvk4u+MMaty8UfNsblTBD2e7LhoW9D1LjVzj3t7Ed3nf32/K4bPLjelM/8A9/d/5yMCIJ+ElI3LOQ/QcnSkm7t/s4O/BcoWEk+AJ2RX88sGDxqWhRy5pdMacS7zfw5wwSRjkHcRMXcOBSDxnVPghwy9pcNMgf/agqopH9Ag+k/7YMurKuCzYo3P2g9fe9nUcMJnPmqUmMO7x1ljL4U/jS6dg2PfcQ949J8HoDnfp1KkbskA1wd0BZ5Z1THEe4gS0NfXbIWcLGwk2PaeDXqULqgkYGSv2Mi+biuhPspN/8agLxBfGHJzxEMPVQKhZpC9spqNQvobtFieI/VxirHxXXkKyAPAR5ZT2GyAf/6Yuna2m3MGOeG3rlno32f9/5olbqsigfib97xLJNbymPXtAnE/E5Q8iZAlxLYEbDye2OTCvltAezwEx84Z8mNtE19F1oq/bqBppwG0XMHFZTmJmUAeKjPXf/lw2jjwuZmt+ssTvuYIcq7xdE/Pob0a39vS9t9Y+OniWG1OsQZM+AecBfAoSh7E2T+ANwQ5wxPsYS7MPYqZ6dXb3zVgCQ9CL7eIfHGACrQt6N4T/K4nDqWZlfLrNUvFlJyi6cHtvZnJcAEuK6VWBx6okhYXR3b+Wuvp2oQqJxzyBJp6yGeM29jjJm8U2qa2SipevrhokOsEmd7ylG0HGkpkZsNJyFcslhh0PDoLwPggM/PaRdqDrjPzFxzyVCKZMLOuwA86CswC1iI8OjfTH/vF6Pv9XCjgI7CeQ/v6XhboSNEUrXtwyCFz+bMKlA1848RivyXdp1NyHNRs+mZIzxXaW7RTtEYTh7y2VG5SELF/1P1vP4hPnE/3HO6tUpu5G4nOVsD18e/MYchXfTKzms8x3wHeO+eAPDCHuOJtb2pdjf8rLcolc7SZieMRjqYKWCHsE5JGSV4O+FCFnGPgDzXlQUX9WxPenoB9uLGSgXftq3dpbRieCYc9JeywsSVPBbPECHprzJbUuVxp//kbI5CtvIq33sGdQAtOH/WwMf8trL39cSpgbSIc47i/5s9/zplNaWbrJ3ESF1ONX/WHp1CnNIb3wuyVBubcSlZHB4NOgXwRowrei38KQN8PoVPHZAE9vtIO7Rot36rg0yEUdknBVxWpybi+qFHafC1d4zHM7IkxQOu/Gk6auilPHzgkoamdA+wAPoTDWrAH5/rSPGfIXd6tCbTpXzhk/XwA7fUNWsRlAbMoM/4rmX0S9u34vG2aCPhJ93k/d0lM7fcHD/avOPyp7MQBfLDOA96LUCXMaWfg7x62PteD2/YVaOZSt1kaSLM78jQqbXNme7AS4y02HyxyqAJ0PWsdE01IKdoDYWTARTtADN1UoV61xLgRN+ChakgpCStuvCBSp+zU2zlM5sPae2xAoHOTQ9M1DkPoR7IH6EmOT+jdSleeQgx+8/7h5pEdNH3/BD1ZsT55lKaexmZXJf5qD3xeAI/o9cKC0GkAk06x8lg8OSTAp/OIJ7W7Wc3Ije/4YnrqZNwe2YrGX+9dtxWgcy7w38WVQ/x8+HxkNHucxW3NB3nizsaWgXppPYQpceuQmClcRzOuyfjHG9/vyiYJHzAGLDT3H0ED6MR6Ts18Wvb8ZysbfVTD9KFW1FYaL1Srh/FoK8W88iK8i6BlyvZz0w346pMSvXc19wV48ChwNdaEtseFBl49HcT4bjFz1hf93jWhOkwE69VSDfYP5ANTI1EBPl0gN26AZxoP1bu09msay03DuMNWfFSW/pvnyxyVQ8g5Tag/jMd3uiYH4J9MGu7EM8ji/pr2JIa8/6X65gk5XGLAKakvnoJdWhbw96NCsJe56S9IwzaiIhnTkHsQ2SOlf14fhMWYikhZmZ2EguHvKiau4KVT63f3YCdWabw89H6B9eVH2/fZyntVYFP7t2OAz2f2b2NmBeBVnXCn55TCHo2mD0GbB0P+I3deNZy3hxJ65hE5gMwXxt+4YvogdTKIKJEskhvS917jopgG0uK2njFFwE1tjxa6q8Opqvk0m7kCcnz3IEf7NcMtaNhbGvFFhNgBvvD6XjfQZLYcSc7ZxjG9ihK4IO11ntnKqxCfqz75yuwJ4fi3bvNZx0qrAaIZgUYVLa1dPzF3YTJUkkOOL63Nyl0NmIk8TP2Vj+8vPh8BI/ipeXIv9W8N/Qj7AfQv/6o79qzNGYDQR+nYwszdaJiklJZ340uTDYqQrrxC/knImDwht8ZyJWMttl+4ILay7J1EuD3r8qVhHdBLXtoR0HHbihXJb28S5JAJ+IkLuXaUQ7LS8HY9rO13XhhPZBsTFK7nQB6p7UNuwW88xJC3M7cJlAO/EzjL5HPW7nBEHjJAr/l6jxNvTRsK8GdVUTavEskjh7hXKATNkVyB933D57/BvkDSuTnUlU/YUx/sOcd5oLoT7U3/zwDa/ufMmZ27PnCDdgUtsfLwn32wvNf5vKdiM0h+ImmA/YxqfrCwmUDf83DZcxt5wHFA/ZA7aM4nQZ8r6AyZO151BlovxPKBXXbPA93RcFuSFblllxi9tAFFv8EjB/2N/7wxS+btD478riy7FyOx85GIPCqfpaW+Dqt2YB2mcugf2eqH3JKX3LFJY8m8sf2v3L0sueY+6AVzbuSZfg88LFiN+kp0slRC6axf/np8uGOZ84u8LJIcYuYOe3YPuUPS+HMlTAM3+Nyo4eHU/N1wkmsa+z8MdD+P7L1gs5vGaCI2kYBlPxihgfGpE7s5IR3xgQsEkJ9ed6M+xEVIXAa6HpQX1U9JEyEK4E6cRKn4fKQ98A17eiPhZSP5++ZgTVQMpQvPJ1TAQBvMQ+OA7ormi5mj0+hsqfPtLy/OtEZE/9Xc6mr4fKoI9MS4d1PrYv/OSnISK+2XAfadVm6/NNbUnqOWnvItKztSZf0UpGa2YIeCdGx/6hD+XcGrlJpO06Tko5kx2VvmfluCrvmrnQv3V+yQJc3/eWWhnyzctk1crrDulzMzvi7tFw8nN2M8o6smKvz3qAMSixC1pbAfVccr40cBfOWWu+8eybdF00szB6AA7PJq+qrHvnknGhqvuUlwfTJYyuPLFTPICWz7XfUW6K3lmPJkBll2o85ySvPtWNt4ODo6E/F+AYwEtrE3fiwfWZ8MpndBxBM+2u+b0+7flYXWay8bf9QS9PQjtXnOeHujmpSGw1XRdpG2oqVLbinlpgb/gxaw3vT92QTvjgzIU8BXayzbJeFi7ijuUuiqGtRbClhDaWh0nqPYXx/9CJx4Axz+JMQE+yGZakd7DQvNPacGvKnyHl+kAzulkx3sG8l7DDmuWTLNH1IzJzX9rWPbiV5BvMIecBZgO/KuYv/AIC+mkf3yCt4AVz9i3h7UmFwBLxnpIY+IiZTO0gqRmBt4w9uNtxzk0Muar0SUAsVE8G8lzDzFdAUtfc+ZiVvVVuEE2VsDRsFzcX7JHPQ6Z5uBv3fkdx5wZpUOuja95o2btJk1/5wH9GROaParOU9rKxe4LfDb3/0XpHeJkijnEuWAX+lg/2oG4KZutqILd7wFsOVe/X+flGWGNjJLX8senxrBQTujmDuLwxx8pWub0FBTykgBekGSLrmcBd4bv3Psgtal6E7t6Z72oCNZuABePOnX7VEBr6k1+SFx+iSh/JsLAzh/Mn0DZt7y7zxE05P6O7+X3NORrRBbfc3Jf7PjhfEsmfKTWGI+zFHez3dmZkNzFAC/mMVu+32KgTb2kFWGpa/6xoXnf3mmaarRgPNtYM5HzuZOagTZHICmGfWkCtkBpbpzIZ/4a7Yq+u4Am7ZTx5Oyb8uU4l/PY+DSo3xuc8BWD7i5meWM1PPm0YDAPrBf93roFE/ZuUMfphfT5MbUeDQNeuHD9sYK461vck7jqf5xN16yzE7eai09CTFt7pRrV6XVCjrLmSgvspX0+JY6jfH6u2SaBOd+/8rLa0b3Vo50drC4k3VtC/yfCiSHJtZLM+AbcD4zM5Iy7Y+ColEN/x6UqhPrtemCsCA//a6D7O2wHH0zax3y+DKC1gLtiUIc4hcXdUXPIRbVEWLzmwjg0sbvgqkZ94A5ImmlqbvR4ZNp/oOdy1oP84Zygsy8jZKrpBlmr3T+mX0NnHFyz31qYTOraJU7FeE3Ef7NawNM/ueekbrJkF3ZaHzcp3tuKSSY/c2ofyF2W0m2wNsugRsCDoR2Qhjw990cV2J+o31rej5n+IwYGNOh7iF3dvKo+jnJn/OXmaPy0g6gV4vU3YOGU25ZqGtqyQkL44I4r7kt20bIO/A3O+svHuv7VY0AnV14rwPdy0juDuaeHvZaZqMVnsVSZhZoPj9UuLnywLdp8RfzwJ/YxmD/efBCyBk/9fp5P7r+ZGofZMCu1LmBzpu8aretRI9l6X6ueaxjbt3uVSgFrLeTAzPDvTL7PEwFjxg8Rca5lzOZE/evdm5T72ZE4r1bjm3crLglaFryNVlB25XwpwJNclMCAT8FbO6MFxV7YgeJ/LklhmXy3r6Tno+V9XvndmGr6b+72Xmh3RQ0mOyT1xksEYDJVeA/ROe3kJc+KrYQcw5ZRS3PxXYqi72dUfJTa/ymntuiHpktIsih5jwkANTr8AU7W0RouTarz0x/mrS8Xg6llY5TdQr+6r7ezP49hdupGi5m7vQj71VVMy7T0DtkFK+cym/Yj1PpbE+QB73MAS6PQFsG7d/8cuCdfsbI23GVJ2JPwOMTzL+2RGnOaNC+Yv6Ss6Rjjn3iMeyzVXXG61hEngf5Cv7bFvic7UruM6b3Jt4BJ7AN7+8ozOwtquwzZKWD8+8OueJCheeb/vLya/4BrfqDI34nI3p56dxrZs6A2guJsaiG2YWECVqbWKkz2cYxF/j+r1d3qt+NR7LpNDCzfkJqpmPBXpKFRqzbX6sICDFFsezkPWX8enA2V9l7J4i3V73NFT4PclC/KPrpMZt8gyb36uET9IXe0KhNz0VbZcJzZQz8C4CvHjxZ2myT63Y4QRyBlvZOEYZM+ulKU2vlkCR3yIy71s0RdyGHvM4cSjzKPe1wBzjgKYbNfao8xfj7YEmfDuRUmjnuOlnhj9fA3i4tglW4hbX3JtD/ohaTqYkGfFOxiH3IUSrKht8+xrHqgSVy9v81Zj2iNdPGP6tkDmiWUX1QyuHfRzvBvDxlE3yONrMInlwrkbPyrgAX80ieMNIWGy+2mfVn7rgzZwIsnDHkpF0TzhcczqwRr9rvGfKkjNNIizrONpXNzf92mECr+JqrKpJZamYZWN5BAUevnCQ+A9SxDrWQyzYEuBvw2qPp/zVz3ogmMXVmDrryQPrZzBfFWTG97kb3jTuVsgdOyNoHH+w11wl8b3WsnRn+DvbRKCtlGR8ZfwRdtk9Z8sztduSFFtKSAjiuIwY7BGU7mT5Hyv4Zbwn925c9NBCz5IW9thqAP4EWT1f9RmmbkQJyoDuFJNYMB0mfIzXVHN+Av3jEmbozVaKOgPeBkKrcidfhp1X2zAGueszcvZVx4HkCAwdLZqknWE/y4mw/am0/GkuVNDSYi23gFhvYp53xJYN/3s5UD7jgbwJyi+lfgb0YA3f8yvkU5r0+lmIpmkI79SC/GJoOmdBBHXFzji4JSz4qM4ntf3r5YGcbajxLQCtX/ZQ0yLdATZykUBbwoQXW/9KMfA/6fQTek3KxtLCeE+6nrFpRIFm5ATyZ4O9O2PhvsMb0yD5I2EI8qUiF+KXNxdFSLactfFllagEeTWTrelgW1ungYLcedrQtKckaR5p+vUNKUQ94uBeC7IErPDBoRSkaOw+nY01NTwqypLVI0Bjm/GWE/f+/Nbw9693Nxm4bKJR0qiMTcP7fe2/sQHxYs1ch/xtwZHNwvJAO3pvqk7382uagX091MV2wmQduyzcVaAvyt3susKzC0qHx75nECXjOq89XMyQX3ntZ5uicMtMLPtnk17O63aV9u8r/+gMffC0900uPWXsEzfnDn7dFWRerHttjRss7cEnNwrZjoJsbx94Ap+I8ujjYurxqYL5pdLPPoUybAifwHh/As3PDV03duXKTTemELu0k5BjESpH8ztjibutCHN2ZlQAGqWPqELsJvR0XqXuKSV8FsiAcf7NIGX+qV6581KtxhrQ2oOdXAvqD9Ox6cPkF3q11/toecra98Qj0/9j6lRWuZ10+jCME4MJT8MQDfP2CuDyq8LZUTMWNs1kgj/wAV7Nxn7nYSV41FcbjU6cBaIfQ24PuZLJILDL8c3kIGDfgB+RXO19bmzvaAgVozugIK/wwh71TRfZ6LngB622rfoH37bepNn3B8pFTRHPODxX9u5PiOeiackShtGENnYlUo8pxjG85xNMpXA6E8bHpWgtibj2aO5Z83lQ9/06HchG/97DLw8zFhZydUQeD/uMFH8xMCHh/NmGp9bj//a4hoUcL8MwmX2nHcxLhm7T0UVpbBp/pCTGDHm3uOFSrmXVUsq3xLu5P4re2TnKncesVFTRuv0snNTFiE0u9NVx+VZ0E7vWXlzPp6kSFE+gMlMAfY4m+49r3awHvPyIS/nmv2GPBwK9pYO479FtKwwVyKcTI5Wnmd+a77ceJXR44RBOLPC2K9puAVjZzLo7Wnz/AXTGUHV0eHI0mcEkptf9BgferlayMTRng5Zjls8lHP8CBvuo1W/DXzQO8K3GPduy53auIXNNOt2WvFsV0LEf5de71vQ4hhw3y9b005LwS+MVM9PRk4fRGC6VlzBZR9Etm+7RxgewDR8rhu7AALTnT7pljIiPIvTF71MZPRISmtilL1/0Tw3cF3WcTrkHzgvob8Svmdym7bGhBAPeUC9p7TV22YcYfSwDnDR+OiuHzxTyVbL5WbjJhU2NgJYSskuMRVcRVEc+3peHpIpwnZWoVxtQ6c//t8NxKyN2vXBlnFJ5doyob2YMizbJez5VjA7YiQjToWZtz6r4vok8BOzAptXQZzZ41uzmAf35d+GkGnFxZv/WZu4apK+b8i3/NHXD6AJ71dZe9graw8n7Zp+GUiAL955mvTV37AtoZC9pjxHezb2rjuJk552wF7CngGAtvomUjO91llo5rgXLYy6BE0cKteSEdqECtn8C7X/fLjPDE3BXjKiBcwrowR8Heatds7N28UPA9bYcarx8L57APE6HVXH3Bew5k0vT8BDEzpBztiEY4t5BQMey9aLsrmW3OHb5S3b76fNdqxZ0aOG8gDx2czGqM/yb1NxCer76oD8D5m4nfE/JHHG5DEobwc+6ZexTRa+AOuuMRSjjjtwa1PhlBJ/HySZ7zvg6Tv3q2xpltiiTwc5zBcxhf71tZtPTM5oU7RqvtrxT0ZeVADn/OztFOPdrbH6kIvXIlw3HNNrwr7dLSVR3aED/oloYtl4H/xvrpwfu/GbtdNTwcCbzdzIlQgelNx85ZkCG19VxSOXMX/0AcrCQmJLNsq3JDOxsk/C4VZCO+lr1G1E5sBU8P/OnCAw0rgh0+EtOruCvt5vGniXrjDTofmsAvKsQ5CPEZI+WZeQ6qtzyGEMeBv4IWgH2/TGeNv+BnlAv7KPrpzns8cgu/QUz0vJdlSttBDfvlxGSoAukS0b76ArqU84Wj6XIW26jknwsZzXnvpEVPAmZN6LiiCfiX8d10jKYVVH+wYb5jYfMzU3seZ880fHgN94uDw5eTOUsopmuFNEoHz1M6e32vyHjGVzlwtkCn5rwrHyZC2fajoaSqTG9DpIps9IkIJWg5/ANxa5wWW6Xba2q0vAAt4KYe1/yjdv0C9suSxq1r5kyfNTlR59Xjc3OA9+K8n4BvqKgZW9OHHFFH/x7wGZVCYH8xtvi8mHzJETJe2WdGdsDHRjK0KOszy8xYzBzPy5i+w/eJq5DbLFZe5mp2Bt38V48dTysNbRNn36BDPsSvh11jzv5Z/QTdwSxzLieB5TlH5wG5n4egJhPcMcihmLEoWdMBZ/Uqg0pMd9x7uNLlteqB94YSVCF5naUUEHekLpI7N3N/LHlrmJxogErlIC+3U6tymAMcfmf6l3HP91X/eFQQWyz28xThQPWh8aNdiJmBDPmER/pDPmcbIuaIqTL3Ry9uY0s72TXWkqYjWmoXWTVNQO3hSgTcUqZXs0hSU5NFvsy53e2Rh9mGWe1cUS5LngAGaOeEOOjYVuZxMh4sL81Ddq/yGZszkbJTr/r5DYs/vdycQ44Tp4WvgXdY5/F9c3AVb1zpNI7xp09ADyobOzZwbD6I/p+nHKVxoaNSt7Hpn1eDvsD7uZr76Ixd7rTgz3NXXlWc/fl+U8b3pNcW6ZR1XCEWAvSEPXmSzHqeODqwYO8Qzo/K9a3GUc8zRS42/Z2Qr0jw+VvnUvVeKLvU+CH+1s5hN4M8lrg4tEMWNy++kcLvb1WveB7qqRzsU8WmD4inb0zxbHySKhf7gN5XFkKmsuyexZcNLi73o2Pu2MsVPts90/B+cICTRZ6ZIVQCL55FnPwfUVe23aiubX+JxmTEj4VBYGzkINSA3gB5BIPAxCE25uvvUvZ1zkOdZu+qig1Ls5GW5oqAv34qp3y++lLSQb6dh22fC9vkTrHURR1oWfD/kilYzTXoFdAupKGtNPMewD9+sS4DTP42faU7WPfeCaFBCB5JgfrcmmPOlMvY5gbcBk/rb295gv9/rcD7YZc8mEbfmUNc+I6gvX0H3rtIae8RzQDbkr3YbZOD07aV055EZN3z0JPgwbBEiBqfYmai0QhN54BHIlQeM0MxAP9eGiBzvh80nD1qLeAhkJkL00pnS5po3mPQcw1vg6Ptg3ZOXepOabaafEXUggavCPd1NaBLg/6bZXr+nWWKjjXohdScPwZkLK3s7wxRgHZuIo7ylc+N03Zn/XkvV5ORun+AJz4qYfvgUQQB7oQ1gc1sKxmSHfjqFrz3laIkT0MCvI5+RIdJbvfrOfTSjHkj6DCaIvXC3n2zorlaAcMKbtHQ5Iyie1poDJzBMmaBdkentFNVPv7z6DCvqVgoc94d+P4cuKmiTntINTF4dRHcx5XpLXJICByT0g7N+f/22Tz4WUkpruAz8IEidQH9dEhdfecsocoyeXw8AX4KAINlGtrXplexzE3+oidhDX7kpgepaDslcFaOuGAmx39MrqAvSe6gh7mn/XqG4BeCc/+5nPItVADo0Wi50ef8A94gr0J7AV+5U1a4MYkSVZgsGWBxJmZhsk1Sbu5Uo83RJmk9TmsaK/DHydH4boGUABwu8l79zVBLA58BlPGzGfsbPVbS7ZdStEXZe3MqetAgyakOyYKtmTW2SsCzAsaiC3jpY95v15picz/1kIOvIvGUpNHjzig5lRaasd2OZPfKgjPzQpfZ9HdQLUU1kKXsmxvr/KoS+pJbRj+j+7nLHufwfc2tzUYWGHwaf9J+jlSv16pQR3hHx9/MTQH4a8Had7DZJwKPoVbW69d+7w/w0w9wPtRomwAfTpXdu7AWp1SjTTPIu7QmM+d3p8DHgpb57Q/DBbJNHyVB7bGJm40c/U3ThQ4G/QR61MxfWX/nUYeywtafT7GpbvvDik2dJibLGTQFPE9tQ61OaQ/YbM0hcD8mQo80TMTx+W7/7pmHGzMB70LC6xPbyfM3vw3WajosBfxclw5mvvfDFsHf3hfoR/0GGISAygcWt5vzbn6ThRTNbxaB6iT3s1PYPxor0ee+3MD7JqDFKsV5DnoqqTkCEkLjmbdRjsCvWNOB6wa4Y2uyj8CDta97Un41TtkZtbi0Wyx72ZYDAW3Vtimwzn93obPfszy84guOPjfUeQfOwY8DaIw6mjvAItMDKDJXCuxsADcAmsIF4bhtG5YMwIGvfpsH5dkigINOkdH50wg6+Ek7nZm9Ydab/AG+ORXYrTuFqw7feJikKfOcM8IloUpKMZusbzM/DjyIzitOTk0nV2a3pNZJlP8vT+8KOmZhzOuMN8lBl7MIPOgKbwKwNAXvko6N2X9jWDxcyd6tg5W5nOPyRHUP3P17hxz03RFz/XOiBDRof29iUMzRtsvGlpz/x18bFnLEI7WTYnvKTHY3b56mj7JBeMd6DHqJS/CmRWPjjHbKaWyUlsPDw6D75aomrPF34yZ7hqZjNaju6CYgVEszW6Xg+feNWui1P7+TDt6nw94zWH5wSzPn8YeLWauo/cmK60ZEc54XCT64oAt7UpJV3ZX201JYLnh28JPkXhe4PTiA2ZrYKWAvp+UjDVAvKO7TUF9eNQ+6ZmbmmjBoIIp4jqPSPoEvANxpGTL76KWLXX7I0b97bSfzeSBOHk2Cdp/2iZr9xdT0utuAmejcW/B8VWd6ZnmcglK2W7b+3W236ChBZ+gM1tAp68GnaTI1QzJIStbMSvzUvVoY6b502Voy76cU5OMUEXLW/54s2lvE2drn3g5q0JBZl9xLO30eVnarbMCyUc2n/C/D/6rC7Q/fgaYG3oK1u5Y9BxyQjApzJlE+SIAldz4fpN97phf+xBKWCbPvsmwA1x3g8X1eSAQeJCCUaNnrm7y8ryIyZxzI9PW99swtNhDT67mHz7/IATCUYVmz9J7Rzwct0FA507cSk6h5K7irwozilLMF9EgCNoJgeO4c+B/VQdKDr7OVyd6IyDV7zt95BHU2ZK/zlD0V/JpqtTlTpYHL5wZ0M2hER4WT5gyNUPNPtsq9gC9VDpKU4JNFXy4ssn+gZhbwiIBzn48S/nzmJE+ms5sqcAceEjRyUh3Wv57bb1if4BPRhurfGY4hoXgHfA5M4S9Z4Sfl6CeAYXcyzE/Rtw/4HLsahVYliF8FLfhhBd6YzIArP0Tg334pYiU38NVlTduUFNx5+ZTziMBnJvdqsCkd9zZzwOtEy5dEiqhVvXE7EXg3L+aM7azl42Bz40PivEA3GmKU2wlmwswJkH56mS+gxXZ1pCraX4HP2h78zatv2arDKWwiFFervGDh7WUMDtRF/IT+bUSoPYKULcLlJwNtZnJKToGEFb79OgfEA04IlXg8zD39hidmL/MgOvRRrf+cesT0HCcH+M6v73Uz5+Zi9D9+syKE/WgEknXHbjVwnxpau6Kl0wxzLwFDFbyX/3qcGk91jdUU8v7f2alaQJdSErYPZpEUvPBNgr4iq+8I9jdfD7xaauXcnOt+urnV+qRgrgR7fbA1AQ74En1qKwHLPfROovMLHvdm3zKqraXPXV42DLia67cm0iL/T4dJ0LdLxVtzz50Qnbz6zA9A20czOwOeMz9xPzyuKWBGm6dO9gAP8Q11v4PnUYmQW4zh8WT2Y/vNk/HpS4nGEXxvSfvTo6Gc4TNdSYhsGmS/c1tq4NSS/WW0FrCuHuaEEbh7rRyvBb0F6iW9m3Si3CEj4LQLHqAUhV+C/41o3zugS+6NJT3QSyYHOqQO+MlOfqQuqZgTgs+wB6jnMLf4mMfh30wTxWVKOvkjAgk+ZBs2oQYv1O6Ab8vzAPjrEisbFg+w9smHuYLn7YE+7MBrhqCfUB6rfVOUd6Kv95K3dzWQCQ8SwToaUi29evzL0jlWFnCqaGPQP8HRCj3cT0fRfXrnCFelybN15K5cw6V0smc9ADb0SZ91cuDDZHpxd5L+uzdjvwiU3VU+D6BXU+nCk3G8UfUmuf4vO8KcAWrQ4znVIeCuuf0nryXUCGC/IGL7zQt0b8BrAMcumf53F4Ga+YoOmdvYxOJ5vfKpsfVXPfBKrVpjAX/u+b0BLNYVm5Gy0pe2qcyorXzY3yq0fzauvjaUjzTWNzb6t7SfEj6qQAXkpxwSO1v9GNv4QiIE+nBrp1x9ceAfNXiHg7VcaNe+VZGOpW36Cb4fTZA54n+ZhBL0eWL6d82se8A8vxJzZGZjQR0tOf/Nydg1ol1zM2fFRh9yzZyzme42Iq/uCEg5LDG8dWab7KFE0stc1uPVojZyDIuDR3plSD5N7gpoONB8yMyidmEh2RJNMYmSDXY+Fz6QQXCVg7+LfnvY+k/g3H+ghf0oBQwHHXgpmSyPrn9nu3c7Y3OXCgR6w+QBPxYe/fXOddQifsbxG0V6PTp8d46smxg/bzxO8rMuvWrI1pyit5zK+Dz6HA9eJiLOiMnydzaruaMGOqwCDTqb82gh0D6PPHgmv3fIbyV4rpcnwnz6hprbHx2T+5xMWW/7QtjgVWGdjv/uZm+sjvCzWZMLeO8Sfu+xMvfTTLZs/9/8onP86R3dCfSNnwkhv6il3gTU/tGSTq1fMwrnnYpIzGwEOkoteYDCo4X3VTR/A949zSyk82X7kUbolMeo56PZ731fZGQDJze/e+oqnNusU2XGQRcNKCKFf8s6HgDi5ioIneryl3GXiNH06/IvBj7c3K9jvNykz1kfLHhfwmTLbzEDzccpeAIxj1AzkgbmXixOTcZZvqYLhiUtNXe5Yz9N/y0dE8BiFcG6bVmBXrxMBd1vckEiqE+XF+GSuckb8BKsHn6Emu5455cSfA7wVQQ1AhoctzX3P3g4H5uweWLk+2TUBNb25SzIhiJiZojJUmwF1ClvuG/9/SzgE9KrXeMSn1r442CRt3wFLcg8TbpsQwfbU0E71bq9Vzb2U45SESUl6z1m9vbpiJeaa8Mf3+CtIwa6iQ4PB7zLwoBjTXbs6/yLd2p/iicPdFEA69yvHH2D7z8ALqbngLvNgD7AsyzAIaDSwccViqRhUsBnS9LCP5zDpM0KtId1hrnT22WRPsC/Xs2cJoxaVNv6dRaQc6FAC02pQqV7tJJdxvg1LzgnZu7PkAIO4kwiGZ6L6STj6UqHLUntyU5dvAd8PAGmvwnqb8w8XwC6rOx8LxveFzMHpxEL+Dn9l1lNQVdXxb+7dPEd6txOHctqhq3NGV9VoWOTpVJb0q9BWzZQa9Sd1iZcbOxYpn/3UqHUPYftF9V6Vk77MLOE0lBSxrmVdf4B8PN1niJBtwYC6Q/A+4v53OVl5mnYkio03KuPNVej8UiZmWGIMPgnnKcB4KvrT42L36rVf4Pv9JN3+HQe8FRps5fLrf/n32Om/zDq5ySkXQ7eAzugMYZ3BzgwqVEbVODQKmtaT0Hiy6hfmMWeFeVvNYjPWuOYdW0OXoaRYsK5md3NMHDG9WHOpPCgLc7mK7y3Zx3g1zyONzPD5GC311K8e/gy49/sH2HPdMDPurc3osAlc5A5ywnrVXKotwu32x44sZeRyW8r19zkt9mgheLmJvvpuwqTXWrm7w361phbAC8POzx+7+zjeOLGj1YOeVDQi5SREfgjOw+fFr4YHZmMR0un4E1A1ZlKQtHBbh71btueRRvkQxtkYg4ztg2UhYEzkUuRn6RC/fV95bHZN/tc07WVgGc7OuqyHrZWtfYmnxy8xOLIQlEpPm8ykHZ+mXPwJ7eDw8EVbj+UO4XMmpOjRTLA7r7pEGhsVIHmPDRMVaAbXnvLRHaAoZS35ZjY4A99GcvvjL27qUiGujOe24/47t0DrXktnRm8QOmmq6J5yK9NAUQ7yhPonntN/3kMmb3/9+Xcz5uz6B+4N3eS8Ot8ucgE4MOqn+DL1iZAG8aMBuGj6LVPuR+LSCNp60H126ESfDw47HlC5dNoGmInUjDEiVgAy1DImWTAA/cqNJyXHJXZ83fVSx/KGshHRluTe7lgd/+kUejxIn0ef5NVEnM/SKoQ+Diyr9T9t1a6bYHv9gyeJWichHTJLu/5HUfXBdD9kAeEcGdv8vYv53Bj13/5899rOnAvsycO/jJv4nADGtwxc3UyJ3RMdoA5G8qFDYydfOSgm8+77bdyiCADnwGnwJf6ZWaDfofybXri40LLkvsZc8PnqbiaPenXM3xIlt1ZNF2ACzF4pRseyidBqDw6bZ65qVP2bZI7yclkXTNmgXe+emTkA3W8jlKfiaABHmX3c4Aiqv0V0KZXBf9Ow62Tcv9EaPLax17h2X0RnpzOl3lDfvvRCJI9qmj3z8NhCL5GOyIENGL862jmBD3fb2UhnbRTPaz5MgVO+O3ZdKYbtdqw7j9vR6ud0yGxUmu+nS/vL07BYgTl3kFNhdMFlG98Mrk1un8cn9uscgyme6HS/rMpwv+fuTub/rbvwwrYJ8rNKTRZk2gDeqjK++UNdM5difCe9fyWCeBL7V/+tM2gja7pGCfmDMLngn/k4XZvzvxPDDwyasHZb7u8YF7pPG6SgSbJvzfUmfNU+xPgW3+C2sn71mUDTkEvPHNHHcChvhGKxlKgl54/EpvkNUpoPk6TmUduzpVJoR655pucEpAGusCFP8th85Qxv4DO9RTn3rlLOPzLka/4IvoFPBx+VhYWlcnFhnolvR2nozpRNr+0jU84j2qHA3Nvf7g28zSnnaAqOqwMTDinmbDtfDenuMNhZimT22xX4PVLYbLx0ZK7PmKglVhvPC+C8lkY6xTKWWiVPTqB73tx5bWygM8Lf5MOUE8mV25YuiZaFhXaX6YPBXcmmyJ0VA86lSUmNyYmjvSaUKZlb0vQMeAl7TLT5Eic5QL6eGZ9cjghrVk/gcb509h2Q9W1itpnpaeOaH7g8HawyXTgU5z2ySIAnxh4JBlKXcXoQdiSnyJNpGPHoMtt2i82rLkCg99uwseGRSrM3H9LOnxbIuAFvK+XFn2A9+zrAYmySPp8xKdafD+Io62zsGPC9bNxrg6m+IjFQptuf1fgpSuX3Cpq7pMQD1ue2/TJW8XlyNZkKZl6Zrx5qBHdcKwECf9ybqeS+iFgfCgvoHMckmM2LWRN7ipUH9hmUA/KSUMtaMy81ELdqQgfeFA25+a+yjSD/vkqe7zJne1k7pUend7MtD0C/5/UkNCU/vVV7s35fhrJPgVPBO/HqdnESo5+ctBNOXjgxsJP+N+T6XsDvDpWQ2ufY3Cj4czziDuAd4vRp6ZvpXQmQpzvRbH2CZxrm3v2Z1jzL9yQAV7TMSmA2vGpaHspkg/uJBkNpy8BWrqKmCULyRuzF+iQbxK9OyXT+Tky2SM2aEkMNawPxCVdAxoic7SZ/7EcXPmFHfBF/fyaN7rIy7fdhPaFUmT6FfPK1i4J9cfvXTK3X0WHzY4g4GB5U8Nj09iKAjXZpYNmeJ8567eldCX4Z3LI+oTkkQ6l+fdr8jy63GbWa6bJ91qFW3MeVQI+gw/jX4rZazmQFUcT1MX8OABmQO29pbYfn6KllcP0pmIymN79o/XunMPtBwv2t6af/QbWG3hQUvVsAxz4JZGZp/r54mVJd++buldC9N9OE9k/J4qXKtrOwMNgpVouHR1wloBb4CKjibljfCsdD4OPDcH/MZ5vvTOfNtT1tYiua22TYz36TD7nKuvnB2jdV83fTpw8Qde+iVCbvVxNi6mHdTBm1hZ0LOg5jo+l1gHoT1CK7fUcojhnn09WgGsaPAJrckq7xlIWOdL4uhB4T9Sx1pKqXAywWlHzusu5lMDgZUEOJtcTtF9RFfgAmmiXd5+2EkCigHdmXvLZzBobZq/u+Ru2EcnZUtHI8k7hLKQIN0YrVLs5OyOCD5a3A6EUHCz9Vgn82vva5GG5AR1hkyGzWY9lGrc4F6g4F/xahegiCtO/1wCbEPC7rZl3eRH51vAXO3ccdLy/4sHMl5FFLdSJr7w4icemor6Lrc0iu+R1X69M+d4+mQjeiA8S9OXRgvd6eX+CfltxJy+MtiazR9cusTnF9zpUoD8SBuueQu24tVg+pPZ96vzOhz010e85Wwpe6kvEgHcOf93/qgynVtECvs07nqKt1wTtNxHbG4mzexWbuWSkq2NM8h6Ze9slDkGhjrAKuI+PoN1AEzMpUFwNW4+uHDxB+jQztyj6XOnvvZu/O8WD1AAt8T/rFGt5yt+BTzfmnMamQkm8m9/q9R/onBR0SfvTjCYfHf7eyPtKu6SQAfOgrsoDODvg8cDsiQNOhCQATTC0CJ7fs2Hzax7iLK1+gVp+pv33HTzISKyZ8kg9Fd3budC3o5mZGdpDFZiczuxOtRyONi5AT5Q5+rc0Bnc6xMCvfNS9/Dihq8tCfKkFmUpLf+OxfGFvlq7og2uSp4gUBKn7ufhcBUKCBOZM0j/kwrNFTC7p0+QxoDF3lhh03lNF5KFibfOit0UIWhCeLy1wCrwMfKB7EaKH2fMG3nnp+S+58mOtsydn2yf4zZJoPyAd+iFWabRyKDoNv08OkhEbc/BzoGmUI0W2YnxwtjtY61BY7Qb4DdYLGhtKDrQHBLXm0cxUAu3x8l9fJdc38L9YhlNEGWB9R3weyVFwfKs0nhqx3QGdw/9uF7PuT4J/5b3e5/o3HzauVxTLNWnPI6e5WGw2Ng8atxS0QUqZ/GjC68sT7eoxeYP3t56HJUr7xTv39rVayQqa91Lyf1YK9Vt2LXgsjuoQdE+IUAo6AXTHjgi9VqDB86jZQB1HrCePM5eCRr1V2+0h4+qniWT8wg3lAHCA582H5HGweJg5KmbRNmEFvyhbT4ShBHCo5CEuubUAP+sujycBf5cgbDqIwdyb0zQr2qy0iKAhII3+vDVmry2STIbbl3dgROtbVTRL3m8XMk49fm4jHCCLC7I3nkTFKqmD0pOU2KYXPS16k5leNgHgRIwsNiINngqe/2TXYwornoRVBM+REdfc9yLx39koS4M2w7qFv4mn4NO1sifBL1CfkbrRKAFvqcs08iqC2vDEQBvG6f3M+SWzSM6L/7KYwb6ZeyeLKEDLU9AgLnjRAp5Y4J9y+vnXbyOdq5lgegM+eABGpUeb3NXwueZdMgKOR2eTn+S2VtX99mP3OWiFNJapGrwMW+0GnucPYdgvnc9NM+A9Dc3sxd9Zjh6LyjXdbV8aWxytxvS1hCJaGOXgAwd5xGxLKldeUlgnOSpXWKdj5aC0FJOktvwB3NM1rOl60J2Zb8o4BzfRBmQladOpL8AxUATgCUPrQWL2tx91Cj9t3IErHR731OX70mG2EJl3DtuoKUgE+vGZujIsV3Pumngpb0nd9YuEmqtdfkhNDsYOdGbHH+CHb6fIuxHUe+BzFmVNXr77fnmiZ6mvHmjq3cHGDEdkl1n8KG1J8sIPsgGebr/cpJ06eadnEc3XM5XfTMx+5fIeaz5WIwLfn4icl0stwvUs1Ah6Oz9aU8uAiw7u687+t8X7xwL4SVm/AKMQ+G/SyR58qQ2+125XFoJHoyXUIPdZkWyOa+pW/bfpZ41Sa78QLTGjiQ8a0fSdL3JYvmmo52xoPDqyB3GTl3doc508eb+Fn6meXCBLxuinERuXBtxLGf85x6RPKRrAK5sZdwP8+eeZK37udCY6/3ketYPH6ZGNJgfx265stZN9uWmYOTNfcsrV6w54YPa8zj0x+22PBp4iHXhfdvBNLRyBn+RZvyQNU8nRwgGsxY96N08KTQzH/E0N9ltleSzTCDAOvKbrn0CXlRzqlFnperQ+NyZr5bW3LIU0vVpX4AdYT+3u6MAacmSYs8cidDIfLeAd8K3Vur9L5/e+8kEybcnLtk/N3NrI3L1u3YN7NXogo0VSHNxPWNfkwJ3Ns0J/57D6YCmjW1PwNA+G5E4YbWq3JkO3PFhbWfUKcEFFymSRg044uu1GRdYdag4wdLM5d58Lj0jGBjL83jNcETZ3bhQvzXy+h9z9jyvB02dmD04N5k4kzs38oSZAsrHkeLD1734jYDLU5PsDnkentLmzWrqKNnccm95G8Gn98qj7xmlAc+WCoHxsFrMfkVK1N3vyr15903sBn3+qQM9Wwd7N4L9Pu+0HFVfTIzCqVa8if18a8M5KyN/sFQ6YK4etLC18BZfrZPbkqAE7VcdNJv0H1ONY2oCZnIOe6V/72N9mRt15UNjoptoiMXBKB9igK3OW7JInYB1KLX4zcyuBm2yo74Fy8Kw69UB77ZrRn2sX2eY+VsqxV4stp6ZXjSKocflM2SvPYU5Tpu06QF3l/noLq46Mv0mqs+HLXnIJ+ok5eKU9b5tw61VuQusBz/DEP3jx6RIzp3CwHLn6e9CXM3DfzeQSg886nEVyI7vv137vNxe64DrpDo58y10+Af/tQFfylIPy71tRmrmQQh2AC6rM1aIc0VsOeE164EwzIxzWZ762t0xMvGRENEW2gE5ISdBaYvy3iDB5+eUTdxPQZf5IhJn7pk8Zs0H7I/D/esYDAp/jHZqek9xtuXImK+PpDdT7F2ZqTPnnI0coSAfLYlQLFc4nwhU1M2zICrrHYl7O/7J0rjSCuh22O9y/b0BfkgwqAHgWxPreyXqo8VV7+UCiM1V3qOpb5eAA1mzSONscNLuZzxxnrHywAXDR5EhFEvzeIhlHZkY8gnf2uifFa+YJEk0VaLy5RqoCbb6CTjmUjq0Z/EweeTOmshWDXdWi5Y3wRmpZTr6ymwROkwV+1IgvrMMdsVPTx3Wt3damrI24/rRhvbz6vh4nsT3yQT8y3Z7A16XMLTdqVJsU+EpGk6zZ9w27alI2uh/d6QewIvj/Myjgd4XzMV3Lzq/gu4f5qB8Cyb1A00eNyqcMpG7if3/9vacA+8pCvox9grv2I2N8zEfelh1ndMUrt+BzuOGmEWphQi/kN2CPSAw1oUym58XMam4cqK0bjmUA/skBLHpLO35L2fZLgPd47bPxUO4aW14rh8+g3YKzSE3P0YzDJMX6HzyVzKrH/Qbe0+bEritbdXkW/V3pvUdBN/AocWGdsDR6PHmAHXM/NdM8Vjb4PDNf9X+zddJT0J7quF9Zz+/g40IZPqxzAdgSXz11eXcBT5+AvZ7s0KEcZHdcQ5doZma/UBly92gpAToSOA3r2uEWCZJDWqgn+M8N+KU9rIfXvTb41ApQYNpJjuG79Dag5w0waiLPrc7sZpVFdqMj2YOGB9TkH5i3SeV8e4QnxOwJqdFEul/NvSPNEOCw0LTutF/3ULthup7AG700QD20drZ+gu8iTzYkNjU5FCN3wFvvMEWI2a3JuBrBdS7U9OSa+zX5XJ5ACDXdp4OpvuQxOYGGtICTCQ20mUkzcactGq017ee/OXTcdIIL9ayRwZ1/Tra2EV7lSTq/MyEQ72RJwuSQWxjTSH1VzmQyD38wm22mSVwXqcP1xLi1xaW1HU6hmTui3vL/5rzH2bB9ZX7CelP7fDe3bJQ98O2Yht7URNtDveKWde097zEpB75TsUykmUEKnhfriZOwDc8BuVGqPoCHwSeaXuG9W3cJgp/RMo1tNSbWKZTJ6xkyZ3s5rJiWTtupoAX/HVqmB/rgqkPlTtXBmR5Yw+eJpmvqpiZXfZARdzjoqDpOPel4FxU1wJ3SpjwBTnh3SaE70PcmzzwQKOlfXk9ZCyl78HLAkazzl3z37jRB6gEWfrBQfcE6L87w+BsNmnSc3nj034zdyv4Hz7LNCGidFJBPBBjqTJa5mM1Z9pQVZg4S6MbxLwfmIwefA79HK96CezTZHRJ0NTLnOCW8sx7Dz0+R5KTonxUjEp5RlEfqwRgJzuGy1gN5ZkV2P1q6MPewFCfwOZJCjMRkp2Sl+5dlOp+Y7qiT3eSKHDaWnuiBL8PWVT1G1JpQGm1BWeis7mCtP+H9uqBMo5mUI+jHtY3LkZiMaqe25ZFaaC252p1YYoMXvYrIsms+vTRbmnG8AJ8+mKvNbM9cAOvX7v6ZmQwwMR1S8PGNmKvcklWmwwfozLgStmQMP6CeixRwHPygVoLbpaUyMsjYzLMXhbnjymwVbpe/98XsNHNMxqtt9hwNtlA2KNT0100VoCCPtlg64aPR6lgynErrumk6H9ZOa+ZLLmXRPzDHdwLerrG2P7mLlpLpONf4mlveztyN/Dsnin3w0t4J+GBpODIZfEXT23nutDIt/jksmgLB5raGz1Q78EmQLjHy71WQSCZUm0bmvlSzoSiR2di6KcXtCXxpbm2e6vnuHsHLv84CYB0vqWW52WU7cwd9NZzYme2brIov1cmkZA3oYW+gsZnk55nd1wgLu6uBz8DjShFOk3TJjznLrkPQIs7yzW1Fz/BUS5PPu+IXL7uU4WPTf27SLn2QwZyHTyVopUvT6wpW9wEw4M46daR2e6tidT0X/pxa9i5dCTpYehJiY8vBTprQ3rMAxc1u7qiLS8DU8Iz8zPSj/v/Pis96Ajc0nc5BY2G28Mb0soYkSZknuenBLBQmpucNfh74ouq4wjPnZlZEMhFHw2ddqBr0MadypWI5EkslsMY+zB1xxhL4nO0rp33XhBIdXVnyTpn9W1Tb2ORYXM4U6j6fNxjJN1xM13Nn+i7QIILQA11q5sWscvCOjTAZifMhD+cZfDrouv/Okc4Fz8+sDavgNbP1+3e+cj22mXRBeXb9Q2of1sEn+CpQ0sP3puz0XY7TLSv49RxtSyyS6Pic36rx+gAdWh6f76Aek4XYuiWxb/ZxTpyZ/HlesWHes5W97pvPvCg3OPQy+E7lqfAHYLN9GoaOCNsvKXovdR63E/93q6wEeGsOzB3jUngr+M4IPOqGdupxCny3irZmjswqQfOWfDL3hX6asD3Cc3x5B7uyJvBLCDQ4f5LOh8JQMayjA6zxwylqNqDhwnrUobIwmE/QaL30FE+YtJMS/syPEuBiWOocVulB3YBNJ97R+l44rEluJa4a/rK4Y8z0DdYYr6LlzgIgC55MTE/J0Zm5yQImnLxhsQQNGAIy4BtoIEcWOqbW9VkH6lbZZlYwmVlBcGPjN+WQoYoUzfrmAdi5g5/7eobglXhaCWnmDRxAKzm4R+AVgVPjySTr30WEzYxXVts8h3W2M9OYmoF/MP3bj7Niox8K3+LjlFaO7cI7mBX4zDq0v6VonZrrV+/Bd6oBFyLvqwlBh0U8EwWywf96Z/BBBNYZcOSeWbOVF3zIzb2wAZ84UnHt+odckwibO0ijTKWYyxJUvgSfAprkCDhfKP25UeJvXvbX0Vr8rGg2yrLDjIe3pivNectFhdkT/3nE5CNnHLwZeJiOZOCPfohgS97P3OxHyki51CIz6LVNeXm3yKjgZ8qBa/lTj/LliT4YJT2sc/hPvJEauKH754IXnvKotKp8rk67d7ekum2eM5X/5Xp75v7uqcBlujag67Y/p+Bzc3RBOwJOlA67H+2r+eXh57uVsdd9ve8N1PAP+MqoGiy3Nrn4VvuQrm/msY6UJr6ZR5T3SZI/v1fBmJ2Hj3tlmV6N9mE0Aha6qjko3v7hZl34VKvU6fBwK8CXytw9c/+ydJg0uVEmF7DYm5mVtI6RbWZxE8fMZPE6wttJRMvMnG/QqMjJEeeZoynlflqbPYAQzRXioLMAP80cMKQvv/1V8E4qe0p58Lc//8Pj6QNbW7dxE+PrcFboTanB/1I147W8gRa644E9qzF1QCfcoS562uskjVNYQ5Iazmocm1QRToEXfmjXrpXdPjKOYhb7a1n4yWufLbMlFRQF4CezEt4H6TliYp4Ym2/5YOMS6leMaJE68YHH5oon18wlx1SbWfStrAtEZRGuxFUrfB9axQDasT+ToSUiBP0ZLi893zcxdkkIKmwAOoW3X/ZSAn5+VEOznos2z8x1MWFyeKDmVhyZGb3w9/Q1R6uZdZSZ/LHYdF2bTNz5CjizAQ2wL42vYdORF+T/e1O/76xIiqxIut9+GnfqS2cJgL+OolcPxdpL3oEnBz/F+GTmvaW/GaCW+qaO94atzQ2w+gf0i1e6flQWCRJcX02WhjSz0kRr1RS/9io3ta3NDKEpdZKrOTMVAbqLYZtitp0U1BIfcAt68yE6cpc8ecPaf9JYW/kgM1kkhK5yBKaef/NRRnk0sxtLeIwYUCcTJFOD9+oJRMCPh7z/zXUirFd9bZFDYydVuvpWs/t+1CFoqHDvVRH/qR3kYWu5Ywc8d3wFjed/pBaPYSlsUktmeeyL2mkzPiSEiW2Wuf6eBCR47ZlTV95OKOFQt1Gm0RWwl2X9dGcU+EUsmzx8B26cFhy2vB60han/zRxpsqAGFSTz0Tb35Pw9Br/dUHQBrDuIYO9SPT1YOHlczK9e/ahCGvz91vSEldw19xqmh+JXD7DjBF5gOYspg3WRnLXfpb8zTYi5f/xhMq3PoKPguwUVSwoGelqJxwa8XdZY6Z0GZH9cE0ty/ppfacOasU48Keka3k6xpAfnt7+lbMTGwUKC9y3vwCc/3CbzKVqOGW2vGPzWqeD6jKRjuCwPfL+2EngJ/IBDXFQh9lk+h7yfipzZr965CPTf9RTZ+7MunWYkZu7yhY/6aeYkY97cz/1WHCz7S47IIrstaHrbBwwFXHl/ALY8mIXLM4X6K9olddnSiNIjZg5vMZ1MDBXh/qvmH03E29qejsoy+5PTtyig1u3mzhwE7+V9gZ9tsFz89luY+9hcxRXye/jnEruJXRXpkxjO54CLoJ3NrHUZkscJOEON4OxBpb32Rc3cTNHzsRbfXkWB22N8KkVyryKQfj3ylEsA//0dCVo/txKkzMw/rjciVpGK8AfUZ1SBiMtc3Upd3upQ23yQuRwe4BF60N5/c7LeWIT7XKAjEd73GfRWOtgP0IsYd7isLC8zZ1uAl1c2SEfEOD063ijdZgP6lpvMM2lkIHAJCT/dzGSp9rqrO/8Ang5nwGkpJa+9yiOlBHCpnZlIFxmHdxaX91OIHOA6R8Vkamw+sd372pi/a7i6wD9dzbl1ipOOXLYgObnZV/5uVnhyto7Po9xzt78BBhm94Jyi5P66MwL88OTAxYChZui9VTnp/eC0EUHgfyj5anrLrWz+hREyz9U6gqc5R5iV1twB3vnEzNEcdZ9Z2K8cfAMPtYAGSIF9JeiUATTxC3vLbFX7dExE02/Lc0cw+W8eGxfw/aQl9+nzfXOKQA+AHzz+5o18gockoZkHerT/LSaPnoQ2+KbHRsWfG2olO9CgPfj9i8q3Ggd/92FND9cqLzPJOmWlnbzW7OoQc5UcIW6yk+gKQhhxeOcW6L/J3OHK5OXdPg/eD+hfzakEP28j0IF3wFkzM3dfm/mcHXMqh+zK9Y+XT83w/UgFStnapidz/5+28397X2AKVnY7UR1n1jyloSyESHzg9hz3yaOyuJXZ7VvK9NJEZBbs4dHfM6hvWwCGcje8EUpCxf5mtqZHt6WgLWwJHs7MGqh6zCXjUW4uDLiho37ztK5P0S+4jnRYgScAC/LBwwTnTuMC3rXYwVczswKDXyXR3qPm3uTgdbAO3k759rUPcGxi/lE5vcML5Of9hBh4FK4BB8x8c/tzoc50koEOmcmzKBIbR6RoVhVV7NvLTN9RL/sT1ME5aj3OfVoKeUotj9RuagNm0mx49cDMj2wk4JXsIw+nHWebFT5vgpk8Qu1N9YjzbERX4MuoZOhbRuFCuiRizvRRrWhsoq19ZupDBciDNXwBP0Cz0eSFtUcu5FhRBPydfL8wCrhrIda7zV29q8CL0mG7grf84EgGmG1A96E9pe0bQ4TR/3qgJ9yVt4YBruv2iQciaeil8Lt5yltxEvII6/KLadySaDHzzl7nsDH45E3JyC3T7UTizzvUXVJF5U0EwKkj/NkoQeew9URoIxH2d4bQjY3XOw7R6bimz3L8t+Rrup4Y2oBvcADP1krMwO3NPY8mac6/X9qGcdNzPU+gd1f4GXdYf2YvZZPy5GASr1TRnkg8DcCFtHF00DhbqOfSkjY/5oXqiE5O2FWaFPJeWrZfj1N5Ru1J7rYfKvp2q85/1catsT9XpRnga+sdLG9Iw83y2/O6m3NsJZ4CjyxHUHYDH1IX+KAI7w33H4BVAnw0+OfyiTsdpcLTedRKjqY17flOIPJ2iqbA3Pn63xkHKkve2sxk/4XTLQ0+b2fBQwk+v15DwCVigVZ3mt22O5mcwX5ZqpAnlU4w+PKIje1QO/wnG9RI+y0/WBms4elHBdiBPwc8Lv+yCJpBbU6hZdd9CM8YR1iTHw5/ZyrwR92X5uzZ4+O/GxVkg/vZZExVTY9YHjO3oZLm4M1EoC2Tq0WjZm2G9qOKszsXiwfvPGJF+9rTI7w3+zicEqu18i7dUJP5y5lFg/BZh8rjYbNQk5MV+3ZOZQrctctEC16UL2aXgnfwz53WT9dkJ4etXa3ywfv5eB7xhg5Gly6vfYAHXnUPqBFz4B6TAVsLr8pMJoiL2zpWFfDzLbXQtYnYRun0Bp74CvXuEqrDU7E3M6GOmKsjiThO4xa82nXNjUw386pBh9fR9rU//5Ahhrq2v3hfLiZ7JR0yR4ZTC7rfk6ZGL9sv5Ww5jabEzJnhjsfywZx/S/AA7EnDbU+Qask4nUxeERnsRXbqKx9Jm7v8oxz7l182s+nGyswNFlDFHQqrwOSGfHrAF3fVJeDd+ufB/XSrAKMcOKvi/yxusg6oP9ZcCniGBbFlVAtsM07KarhCdfCBmUyqEV/A97z2ow5QTJZ0/z2An9x8vNppoMB7P540QlVDwdsOm00V+NY5sk0GzZyt+lD3yGeMrdQmZmpskDucV0F6/+XGMXk0QX/Dl28zu9cxma+vfWwW/OZn942TJOcePIDjwfvxzDw2s6e61iI5ETPDHngS+KA7C9ILVC6/ff+jfqvMrL/fs0kpcP5tzhhnwPNeaLU/w3c9D/zFy7Icpn2up4/STma5grF0khPgDXCFVzCh3TN7d/P+6qYWvC+mxlO4BY2enEQvzf4VJiFy4cmY84ITGaY7eKxD7sCfGWxScx9w1n+df4UM1krpTmsV8OIUeQHRCMS//KDh8qhtTGXc/pAC8Mvmb6kzU+WCdym0AI9WVTEy63flQG55gEbwE2YmJc+drZn1OKbD/E0c/TpDvNbBfj2hCZ4x3kMtV+AtTnkB/oLZQYowqZh65JYaRR867PdenzyxUN0AKc3c5Lnu54eKmX0KGytHfnxwiH8G7pOwJup+Cmv3L+vjB1vMlg58F9CwtQN6kU2HZiVUhuWNAScStw1zrlDDVQLa9MbM3Fvqx1Xffpu9LNLpR4rMvMq9m/3mV6MdpnrFqDV9Wz+l9XeXE6XmHDYipt8qzXvw2KF3E5HyAW17WqgvFoDezN83MlxAF5qZZTyoO+yQ2MdHZ3MXMRFNp1w18o/aUrES5tc2UsIeweMzifyX15sqhC+1ixgbpw/lYPAIpvtUneqRXJTGJrH9ox79ArSKSwWiFdsecpo8wBi6NJSPOjYzbxVo2aTPGGgomwfnAgUnWLEC+fPpb4b1t1NaS3+0MQb/YdNhgRXClww0TSNU1qw8Al2bA646uZhCVkj4fZub6vp76oRPMiSnxppdk1tW6jbCpi/48r6Y3E5c+CDO5AWe16v3m+EoBT5vO47+WcDZS8MWO7N729wVkus/CzysU8foSyAzt4d/Y6d5wnNdOUURdzn4vv0i3dI5rI1NoU5g7ZosoQvgrJ2Chyl7/dLzNzUkA3MZaFzAEAu+xKpC5aIni2zgYR6Wgh9I/r6oCOovn7+wIyeRb6s09PKm93IFuJzpHjgh4aCxslOgTH7R/+e2Txzn7y9ejjJXnki4fNRoulY9suu1Nb5KgtYDPJYO7/gPpp+ODPg+p7ykz/ebFI1TgvY/h/wqAt/c2eoB28HLSmIwK+VTSsbWPZm2fKf5m+UHfuNL5tsrkPcH6OyLAPwz94Hg87o5lwdqTxZxgAMc63Zc1YWvvXsOWvA+yDla20MdelDX8Il58naO5OU8bJ6q72+1JnPdmZxefX2dtSk9tU1km3vOXaZ9Bn/n/eCaP9s+xQg1HqgwD9WuBt5I4/1dra3LL9sDDvgl75M3HJAfydVTxP5bBuv/FGPvDC/XZN1zlPQccP+1lmtnclWnfBWjb8C5AfSBwCFoPwt9ncJwVZZy8mh+1mzjKStccNCGtfNp5atPGmbvKuvTkkVv5Y49YzP3LZA78Oo3ymYtXRkrjl/aJmhcabKHJ+IqCe/24+BMoIuSrAqJdXDkhYitl/aqZLp9I6F+nERyBC+oD05/O1jtxMP3G6BmxMFcEkv7OU/2ZhZYCaifDhh46N+rNuZ0lBPtOaxH8EZxm9RicxMjMuc3Lnbm4Mxky4et0Yz7k+m1vMyXs55SeI8hAVUoePoAPC1AZxBO/62MkT1BU8b7lh6cxmKO99JRPw2bcj4SVoNubcwck4icjtYMz/TTOe226xlwQVK/y10FvvB3n/YKnypVAQnNnGzjH2S/8UiA2HmwvxuxNblom3PX6ryXrAleGVyzJ4b5TXQI6rBdhEZHGu5XvIb24bnFoF1/gM8zbJm6IDceo6KCGjlFjyV/bkcqNDHzBkH/m/uqHLT9j+IN+HUfuGC7bzr/SKPl1SP91axGWxDCIjmAJ3oDveRwB0F9NfdmlGUabe+iZ0/i8hF855MJNFGbeSeBJV/xG2jUa2Xu7nXZ3czlVVYC+JwsXGdr6iIOWvm1j90B/n+dO2adCn7Eq7JBp1TZKqsGteCKkwEHeD6PBMF62gFO6DNLPjLAcODCb1Vcn8zVw8HBm7rTztHWX8cVy/ry7mKxuZ8CXh5d+To3X47O1Ka0cQms0eNzO5TADxVK78qB/7+S6Txeod62pwY+JWCchW2/gl+3GvxyNfTg07nJEkNit8VElPeMtcPBsiVwT8ZC75Q63gs3llKUFgPcyaPNTQ6AK4WZu+XhnLeHTE8oj7id6fRBhbWeRTufgM/KofUJ/7yJvs2OzjaHz7OmVhvIEN6vUM/c9h082Ca7CET4/Jebyt1paGztsEDlB+cBXEIqEQP3FMmgEI/PgUqb4tNg/dI44N0QbiUl1wz0grkbWA0J1C/JT3z6LruW0v4bPjMB8U2CczTdcrd5efOcrPIpmJrU6Acy2oDPtNbGQeXvPiuDtcN9xkPmsQj034gLbk+zGBZTtyvUb8lB4xD0bwUPLs+/s0n6Jx1TV9BkV3ECWtl+1eEPddprKhIh2JyChhcpRQVg2KMR05B1n6D9m9vJZAcwHFSxco8uh1pNHpmFn6ZHtXGI1zBN1ShFzqBeQhmmI7/XqM0zbuZR4tcZ/XfFzGw8PFV2uCiWWNSSez40Dmi2APfKzFxmpANPNpKUcX4AX805cGPu4rIJ7cHMfCjz+dmEzY3EipDdbHoDeY7kF3x3cKbtz+tewDlI5hr8D7fxFdvyWj+3Ttb5I9MaPAeiyvG83OZ7bpErBQ9SrS0XPCn5MGluIbsqcIXBp57HNiHMAi039bhAWg34g5rZav/LIxqauAUc+Wef4fPkw2L2f4vM0seM62ce6u+KokvaL73qW7e0QPNa2f3olgsF7V2z+XKwsaQIcaibPdT5Ai8X9I4qDg665oy5cnidw86OEv2DhxylegId2obcbVPwTj8qTBfMslV1/K1G+Ng49gdoXyF7s3+ewOd6PEmMoV6Sig2JL8K5OKxkqEV7wmG75OZ+T1Qup+jVAzP/9r+Xru64SCTtsDmDnKvIYNDVBg8YCdCeB8c2mZJd3ZtcajmBFjqYjCDQ82PVoS/gbRdqasdDD/DG7xXFmseTzcdPj0ebV83f0yDdHFa0kKJc1YBA1bWgACTo1t+50ZdGX002QM67/pZ23M36BFhhac287IzhXLK9rRiI2Dj1iDPHciQmc/oOGLYQ7vfn3n7hPHAR+qqE9KhlX0jf9imQIgtC+P78RzobO7XkqIYlywcEvnlpM4Hb6rlNUwd3fFS84v3d6ArVbwNR+BO7vK8S8Wcd//PAm+Js+H5hLzb3btJIHtXaO4D1ZRryG+D1nYJuap6zNDlh2dqCj0Iri9GgnE/4nqFtZgeCZppYn8yH5/uDU9Xmlv4SgRoaga6gNagqEGiy9sWVQvWzk9r8ce7LZxVebUCGALQazYaNm4vvp9DJgXeg2Syjg5LbeSCHM8cVrN19KdKnjJYqAz+dOf9lQasCVJVVLgq8OTU9MC7/m5NFOv4h2HTLXL3JnPnCxfeNIv6d96Ur0XTHTgiKdBbMBh0i8L02nSsC/j0j94Mt3w6WRqWNJh63odEFlMupgj+j2OLAs8lIh177G6BZMLwiJPMw8Uy+VK33phccgb7E1fDYVELhBrSyudNJNWmB4XitdUAseLadHwlKMqLZ7RzIhLjTIw/JTPqHxSy8U3boAma/9tkCbukIaqOq+80C3ux5YvJu5kiAW0YEtFPD0bOk+gDeZ1eNHHBZSR7B+4rNbCSfnyPwb2yLMrt0zPeGerEFBTwEH0wZqSisg9f+BrzHmVrtMw3n1GQagJPKyG6bUWZtjq76Fpd3m4ZaE0seKicRZ0AgHkm/Wk2uWGhSjXd5tHXI2h7KFd4004HpuTia/W7ncWPhKwN5vpgciira37Eu76cIXc9Bb1f9nIk4YY2ZkRITWln8m4b4q+bkCZhm5ldGVcFx6dhJWkxzE4AedvXaPN8tCa5KdgSZ3YUzJ3b5v5r/Jv2vl39T4IFAr69Hd0J8t3WJ8QkB25yQnOCXW0NNks7vGUodwrbHqmtuSrw/RNz6Jt86E5MWVCNzviEQKmqTTUC1o/L57+wG8N1k6X/J57dn7kc3+ffmFKk71LQjnX6BFduDruYCfd54OB3A42wU/wRdp39q+LvKDoN2T1e8m8NqKG/lylZ4Jxdwp6ixS4v2rzxzg/MANbGZWUvmczx5ucNnIqSsXX06C7LHRfo4s9n0/DlNJ4/ZgNKMJbCWcJI55Z0Ke2A9f+TDO2CUuWME3qEARdb5M3jFjYj/7qgK8NihCMLN0dIeFVc374hsIj1jWx0rNh8zx/ObQKfKQSF807RctVsNvDpY01ghfsydfj0P4Ft73ZII+7lYAmbtN02IFtb9c0rnD+cv1MWD0L6juP+fBwqbBTD0KXoPNIsnwAt9QK3dMegU6lwfkpE11eQD9PcghkRyWxGcA9ZF+qYcm2KrlWfU7lS/vKUhccx85//HDY9Y048SS0RMhotNqApQSdYkymzeisheUza9Mag90KJjg8INd6UuiwT0GhKggY/NiHJicjHDKcCgSRTwGGiXsRmbpTJndHH58in5SfRLQ9Pl3HsOaJ8v/vy2smGO1cq/0qItxYAv4MM1FhLw5vNJAX+o9Q0arzTzuyiNkiq32xTW/nwS06nebVFjIQsj07NgU/Cdr5qndYSW2tkvGVUnNbzfeCAN95jZjjuTyZaPPMSIz9wJrYbK5BS13/BPLnhIdjjisIJwwLRqoTZBz4ZLWcA6YbyH9b5nMd8p7b+9ekVSk5UMWGRm96Zs2x0tMjKu2zxqN5Uj96CJTGY5/W+GpNSgtB8S+eDMrxvwfRjHSUU0aIIQuyzQRLIZtDF/ClRuYM2hc0deOqpUI/4QY2/6ICLl8jvvQ5NndDisUJ9sOjadegOd6zBEUnN/B9bOVfDQZHDeM4fsTL5DOmpdjnKnOLtX4VKUzMw/wDxn307lklcf0U8eefArdWT4vpHgPeWY2uCfRuWmDqzHAGrqR5nM2QCD3lNVrT9t8HcOjfsbG/WHmW+Zam0+77OxFjNbIOUj2kn4vnwlD9CEf3fNlJNoNoAy1O2TI1WV1jyIaPZFof00xN90bRloCtOBAh4d05wtuhShw0YpQf+7oIdupaM3qbn3El9Xitq30vIcZW3s85gAxrxmjs9HWCMBD9AlD6+OREY7lB7lHLGCxOw53zA3uVr2vnTJAVugkxzv5xTAOhT8oMJ3R47+rUKfT8CKL2xPVSrmAn5/9H9MfdlyqzzT7i0xmNTyYYgRGBs5CA2gM0BUMAhMbGJjrn638r3Ovw9WVWplAEPrGVqtboitWYhtz87bV87hkHQE/P0MhDn1ihN5sDbPgsejtMzM3IfpunmoI51R/bXA18fTjjjgrzwIn9DUxJLQk4kr76onYckTB57hreG18Z1jac4gAeO98jbmfG+lJ3Kw9VW6PgXtu+EsffK85cCbtOjkDBp7Ej23KEdzJmJEhzkRA9vUlrU01D8Apl0ZrN+UF88q3FgiVKkEpZ86AdzTX+7LkcwCv+BxwGzJqYSYMuc+0Mo76XBa2DLQx8zg2ko+Gz2tRzt9noQ+VmjaV2Eb1Q5OakvdE4GepqcZxEXP3b2pCxF4mArgjVdu+UktNILqbpm5bwp6DjjgYLffGWgZeG9TgupnMRAbdKgN61ibfb0yUBP46c7skdY7DNezXWUth8b0CAln8DuEqcBaTqARqhy/5uvNEIcu4CAug2nI7K+H6Y+UReoC2mRfj/pQ2X5Px/2DDNYVD6ZGPDb9VZYaqK3RPvCsbWaMMMxAWXMujhbzSKcxzQv74Brv/rfH0R+e2/l/OXdyrszcjmFm8MxcwMOHAv2iWLtLQW4wg4fWUpg+4uDzrSSc3sALffMuhvuQsdgVCwk8onpkzluBpvu61+FmA2v35YkyylvdhDIFzWvq5O4qDAyv/jRsik+7HrSIHoCv36qBD40mP0kvF6o1Bp/wWbpol9nIzMdey5BDJPm4dLxzOiy3YpivKpi6SvzNDTyTHBEi1B7e7cPsafPBAz9sd4CrWlm1qawHT8nfQH/96qwk7wFb3lfgrMKc7ThY6lJGX26Z6wMR055E74+SIdDu5BviP63W1x7HDfTgNmQ5aHeKC/yxPYkRpYCZ99Tkizq+P4XLXK/tABq2oKH8neMnzCyoCNZQiPasQzdhTqbS1M5Mbb1OH1T7KXxWrwrafTX8zeUkoBs+KU+tg2vmwPsp5WY2BfbLHjTB+uWBzj6buRXNAL4/kJkU8UwG77tcCYF1ALoRDYC94N/AZazSVfn7nXdKpsBnwN8e8NH/9TPvbdNv6g28WkjNBpZFdspRceLEVhMqXY2oNb6WaDDJvX3mvX7QEIWn8MujkfZNH07T/Qk4L2Ggacru3QYnAP5AQsxMjypvX3HYFau8COQ7oJskMTm6rhVCfN0zhnbAueZkQKpCkyReDoxqloq5pKvPk2Gh4M93J3axmUMWZskTtbBT5xpwvv/NG3Ckl9L1/2aocYiCUzS5VGxF+oRn2ns5xH2OmXc0NeMQXzNzUMFsdSgY3G8/o4zVd9Fp431L4F4v6ecrZcsE78bMhXqWeW83/ZTJ8xZ0sXrFxnK0Fi2C9jN14t3RbueE4QW8jicYzk+c5xhNH1QQi/SexfvlVPL2QHp+oiFgez/HxAbv32+DMmdmVog257XZa8YKaGfAn9e+w8J5TOvh4lSMHCjzGPwLDg5wq4tW6oJGiXwmgLcaEe+aId6UegLtUz9BlxPFwReKYJW2uhXgImtzvjlHczFOn9hBP9nY+mxVL67U8Bxsyf3LAdZkwkE79DoX0TSB51gL29f10C9C86UK+FS7MU3y2jGaMtlp+v/1WfWqgRR8BW+v0ZCFX3Yl+L7k+rcf8Kv+sP7VL/GhCrDRjveEJ5sM+Z98UDFoxR/AuLDs+BN8Y3xwZl5lc0iYBh5TmiFO6/HybES9AU03VCtoWsB1wIxvOQawvrl3cF57o6a3tbpRew/PisQHt3VKthTkfANuwjTVgVPzy6bq0EQ0+jmFsm20yemlCwc/SYMtvCu7gxiwVKCM1vsBn3M1Z51PgrydTD+YUb7OFP/IkcO7Uhq81pWEyRNwjmdOK4i9f0jgKxHYP5XJTw/sCp7jI1thLfRxCD67pCOiBfVH0EKgOR8WHdSzsBMvdZZHOvD+uOIYg8f/q1sOUA/r4w10iwOe/15xTIq+v6arme4CqGKTG3b9tOinmEXJvRz319OOAR/3TxzpLjvPRJk8NFKB0Pq7ySUwvypxQJaGx06Wza/+veBNvIMCFVOc54WBhm/G6adc2z0ep5XsdFZRDDwMeDNMeRaCptb+jjLsAq+62ejHcvUhdnmQcZ5mA7+w3N8zHsPnB4cUxM8s0n/zbtgudpm73xQ5olVfbNTwdSXgz3GwFRAXD5nrEK/IKm01Nj33CxffGQNfuOJ9E86IImAJqh6wdq1kx8fDKrusv2xSW7kF17iy/uYusUrjw3EFB2j7u4P7tYIe2lRrfQX+tn/3i/S7l9k+qnKSkGF7qneIUI0/GXjdg4uKE4rpwWgL7ZNmTJaDS3htmktbgH0AbWUfvD5XWq/1xvQXL9jNMnoPdPYF/tmq40givqv7GJcrJrjDBPxPWQB90ty/UhrnDVfgFVFQCWxmjc6VmGdmTT4OvW/ATvB9iJXAaf+9L9BFCO5j76T0fWHUX5T1tYhhmShN75XLUeq+P4zGZef5KbNtVvXbNAkuj6aLGVxD1vmUMKpuoJ8s3vG2conAwu7BX5zAh7Q8RK/9ZdBnv5+5KOxpTDR4rl7GPEdXnm1B4ekgpf4J+NEHnokSZ79S8C9yJbAWHivdBU6FeG7mSFSr1NXwZQlQajiXn6Z/vdDvbrn7i42FRDosHPAUwQa8Pz+wjy2r4fM3w5ddc33Pxr0L+t01vRUqwIgsLGwKuqSKiv/m1ikv0djFDrGB7zzMtUVYe6GUf4Juc7Oev+rMYyCLXRUSiAv/kNjGM2LAXELBvy7NTu4rix8Law/XWErO5bPa7d0mwjkNCrf6rStZCtNjFvx6UdqwBjk2NUip2RM5gJfnI3vVYnXUJjHhe/vwnCOi8SJRnKaa75Uzw7sObIbe7SRKF9MjwpyjUs4/JwV8h7+dHazLkgL3VIFMWDR1EGMhRojIfstr/bVW3d4pBP+b11Y9b/fDquyj29vHtfXEeeuC/7knDlubrn6esi3oBqVlx7U0mk7IUg2bB3amt+Nz/swETk0NZWl4cwd6Jvt3p2MKf1M/4Xd+4HdefnlfdPVS6/regH4F3MTwr2vO/x5UsLVwZEy73iJri8HX+klPICrUW2XZx6LHZzGSSxMmbjkCR4ZcAjbD+7Nv1e7LYTy5JoPWB4e89m76sgMXnAMfdugAfNEJ03OAfnlNJy3Am6fpX8Lc+FZY00OCrubhPwcw76x2e/gM88AEc5tQ9zhESWY9loJPYz1yCprys85bC/j27eVTqOtnctc7RqOkvbqb+l2wDKEafS2D9HG0ZVkL+cO039c07onjtSSXRIT9FWAhlaH+lg4EiEZr1f/WdT6A96fSjiULzFlE+/UMC/zcfpYaPK/L9zzyUdnbbzTXrmKLnYEWrfn04ELD9dVYBVv3hHwz1+xBR+CfYTsRZjPQd1OqpwT03ZowfcosT5zY/ORWsAg+vc5xPFin9NGSvhzqTW1qRC1+xUF7YQL42Yk/QZ+X3PL2uH+szTBdqNBMhQqwmG/A811KHgfc1QyLCZVuGyWRL0EXYvBZAXgZ7xT9zQBNSlo86wjNdQCWkbcurMtPapFJDQv4AknNXBfSb7/VTrXc8R4N/JDMf+eVaO76Hu+K69FSPgvIlQ9mjvBEqx38r9V+mL60nPJXLuWuePyAZ+fiSJXmHA1o6Tcs1BvfvXs0T6841JvaJvvE1P9aiyuYvafgBZWlT2qXuISBh6NoVgx3wAHf2FlaZc0zDdpJmfnr/9dTdykG8PQjYOKuBa/rOabPXN3VbupYT1jftDA9L4PH9ehsFsMByeDpKr94zY5di8GeM9Dg4BwLgdqFrjKvQGPgwNthG/sp0yWHZ/nSog1r/cKONzR/31R5bWZmnOBeHpkFIsJZduDvUu7YCeiqINVmptgsymEL/KBGAK3czHIu2PyZ2NPKdvLO9WWphuVRjTIsdzhtouS1dzNnbD5XAfJ4j78THZ8awC/JPFcFuAcde2rO2zNoF5D3salD+cCof6S9tcJ7/D7RwmJcflbDtMng+ZxMb/+udjKrNbOcUS2mXu30ay8gwbAumC1N/6i9iMCrINmWw3/1G+BLKu63MrvdYW1cUx5PoLP6E7NxmZNb2ntUhZ7poXxJusQuaFwkA6G1eCy0/7pXmlNl//WRLsqVgy6S18qxL7XFd3AfZgYyl9HXhoz+xeRkyjG2qXtxm+HyIK4+Fba0zKxGHEmtBLDVKEUTbqPD2nt8uFxZeHEBI451HzzrkLx6wd2lZlbKLlcOuCMB6U/Af6ILPODy5ymfUtFJWrpm5m08EDPHJAL3ZnlMBggXlhcDDrspSzwm+AFbZg6I56tstsGv5xlCqenX++IUc86arL5/YtgSnfqpLTNblXRZqDoayTfQZlkWxUET7Nek006i66UZtkc8TDqBddHsgF8Co7X2NjO5H773VN7GslOJtPEJdN1rLWPM93dgd9AaulNr7B6t7U+hNQFPjwgPLBrO9om3C6zTJWFqKPr2U+SB6ZuXYV4/gdM/DnY74Rx7CVeMgI4Gj9iC1/8ArsqNh/7TG2yOKcLfpQgs2RG7Nr0aOnYVg50Zn2/OWtQ5FtzMCRdznrqaNgM/N2GLKrMB28fPMiDJKSQQldaThLyjbPqQAxlNzx7C5QvnD4UVlyWb34iWfuroQIFrh+eSnlC9pNblfuKBc7TjhXbcxqKNKmu5FKPvSKGupfvbp2NO+43pL92Bfj2eqPwBTbBWO38Bb/i7T/JaX7CuQS8sUd0hXprzi2afaOeDhnp3ZT4B/+HPsjccsrSFuDnMsb3MwTfpPCzO9FxHoGNXcj6u+gA8jcxsFsDhvgngnVGtj478L+Zvpv9yegqXE/iafRYonuh2TZ+mX9bynfFgNb3dJXgTBjqODBxlCN9SC7zOwBPQwp9UoBSHZlaG2f+ChYd4ocbEnIW0xWj265JXbGRmP59FoH2f2yB1wOwGywW0oDCzSczMzRP3pQr/PZjYwjPpbRr+ziT4PdcOWPPg/WRqHmZxngfAd2pmqQEv2wnwTcKWB+v1633hpt+udT97SRjv0i5x6TB9QCxvQHf87zwNs56gV0ALfF1B29+xJW/c4W8yAobKTS+sdKlyqeXA4J75QvhkzkOfTly3SZBAvP7NrQBfcrGo9YB1K4tmsDE2tW20h7/ZLof1ayPdd3MOpz+66qQi6Zx28Xc5Xtxs5aCjtnCN2EnWr2uJTBynz+T5zy3O27RG6XpwUJjQv35fIzv/8wBle8BNrX7nBemNyFujIw/SlYPqQXexLWNMxya3Spm+S4uY8yBOkYF/s7YJ+LIideNURSg+RWrioWpFZM47+WGy8//OjQI/ukkPXN+3QRXpRwo4nAgb/m8ueT8n6Qpv3eVvwtTbdNg+ZfNFRIFXdvGb6MxZQvAxuodYYc/MSh7S8CXTNgmXD8XmS9Evr70AUjvLRQJml2G88I6tSfjYFGIipp6h6Oe2AD6iA7KojvPkPAOWy1PF0Afu2ovptXl0eZn0XsFC7ycJvjbZ+PWk5qz6yns24lMtlle/lAW0YcJW34J7LzKrMHvL//MuHE/gp6ToialRtkHHWup3j1L1eECpAPKRgWVz5wsw38+x3jvg4bmZoYmRZEkOvgyYq3Aerz6ca5XdHqKHz2Tm54x7uH8tKviMieV9l47KS41A87YDtadj5soJ92Y/aHsmbvoELApO1MxjRrSJWgFa6EcJbtX23sqYqb2ybRH+zaI1M91aGuINo73bINWbM0hmrlnmBhsayp53vpn9djDnokC3TMzhWnDf9PzkTWBmT/cQx/EFc9Cdo/KyADRYnpg5qwMNUZTk8rUX4J7ydD1F8ZOGD+uUJ7YM8AV84lszTt8qxE419namZZGsJKb8fVV0vxZrsB7cFnCJhBhiC9a+Q/OpM4hOkC6zcO81WmYnJI8Zm/5m3hXD1oZ4T818ikoU91J4P834/iw130lHPVLQTCWKPxsz+8XmT1PTgDuy+c3N7OKyZhuv7vZPutMztfimYR5SQezKcGOnK/i0jr/yAE4TccvgLHbsbzJ+3ZsxTsj6tRTn27UKt1kSIU7YAipOjnD9BHARVSE+AvbrmhOucuaoAW1OrD2xnCTM0jvw2QS+7iuu30TvvTDqs+7at2KUReHs7UqzhTneU/UeohH4qtByZYe7g4v2BcVrQvFUD9s3aXrj635Va3vgIWDcro3A21zlLnVwB56aIY8EF/tE22tlta/e6dho5MSaA0Xx/gRr62CbfIZ6AqZyPPCUiNmudvGpcvihRPxUrlgDNozpito6REJRHzzOtB4sO0pAt1Q8Pmei3cnBi5nWcSK8Vw6WlkHMU0fB9eWAHc6rTvqg93G26im11Td9zqQKbx53kVe4cZ71HqOByo82L065ZsThtyNwDI3g67G9k11sS9ZvVDg9aLB4xYD+q4O9XcH7FDIEf382+3noTEc8V/TrqQTiB2v7fRLApZRk4Ie/Jccb8twekr4GTJbFaVc/TnnsiND0X40PWCdXksdjOqoYcDQADbPQUL/qbdomT67pGudsx/OakUcdEVw587W02xPwzQWeQa8cMgLuHyvKrqAzosyaT7/9o3YcsM1LjEIG/XVIR5njXq5y0I+CE9OX7lCw/UsDZNRC9GAljqSxW7KFsjG+sODmlGK/8CC1AX89ikhUUd9gSJsJeB+DtIvczE32diWszURLB3SpdbDhc5+3TjFOlEdapDkO6/6vV5XGO7TK0Xcrx8wUmv93FqknR/DPP9na7kshx6z/2hQ6WMuBf8uB943pi2Ytvor8OQunozK5sYDwkzkVsL5bMkps0MpP1icP0N6vHKyuB+9RdzHjoDvZTp+wbrPECq6lE/MKva+g6ZyCkVDk5EO66Age6FlS7eHA7gQqHonp58faCBBk4Za9k9ZCMfgZUyMJ69ZTQ/zSNuAptukp4hg4FjR7ukl4YR1dfGPid7+3r1d8A+1jcj0fLNcf5hxYFfK0pu3Mn7crptg5BZdVDTIurMX0cSO/Ggal96bn7Gjhv/nmoHKOaT7ZoKHyWuBNM6K3VPtF7bYjxLiPLdPDHnTDDt/lyPemj33qTkXT4z3tlxSua4sIru0ET0m5ps68hwgEbrqssAauph/B61qZs3Ah7Fsd6vL4vDnivAWcM70m/LTatSYPfuQ5unGBJtCWB0XbM7zPWIz8WVMJ19WJGOM069CJcb7B8DuYtjTr2aNB8BzZ9tXzE2INYfm8mekSD8CZTenMWgrAs07boCPfjo7RPvqThPWd7wKPWy34GZ6WYbs5Ce5I0Dv16p8bzeGePf9/+51TIIY4FSIeswD9V5t6sxNQ6mVoemP1FrFi/3/zXTFgwwN8hLUUOSm4DY4L9GIdoal2sJaUAE+1PzXrXdBua7LTKY9qjyCETJ/OArDNzDY4Op5XI/7Ks5l9yq5Y2zcWXe5sFxP1nDdF128OFrGbIXYhlm0WzC14hB/K0dXsbzAGPDi2Dgltyq2bdwKvgwPjpfhPtUMb+LlN2i8z1+SNgPd+1aamuY5UropiaDeVZd/YgGRl/LXZX7PjvKT+EYfzT9bJ+X8z62VaOKBNQLsUvXcjuZoZffcSa+Mpmnh1QFrQi0sJkQ/aaMj67V+NGTyzZ8Jb8FgSFeLy4G57LbrCSfNW1v1Ck0Hu8KDu8JwDGRXwTnHKBfYKQSIZbDZluBxAj3wn5tyHA360X0Qj1N1oaQV6u+Ty1fdAJICtDbs8CtFeyYrs0kXfnCvguelZ7xBvhuAKjGi01MpHfKsD2ZWj3DDhwRq0LxD7b4p5Y2JmEeXvdt3/e+AxDuF+RIUunuz/5mVDPHgbtsL1zltB+sBKHW82e93N6MNzXaZE82Ph6JmHMjBzFkrkt6nLM+bMczOgmLjkQ4TenIktykJT7zTlv70ExsBpcr6pAlu8Yh7UjBThw61oa2YR7gl4c9LbWDnAk0H8AXpIVkx9mFwuj742ImijZtd2ojdYRjyGYg/8+rnq2jvE7qbiKi1y8EmD6vjaCtBUrzz2rQnjkdPUOzrtxfQirfrUOzhezp3lIXIVZGz70XDdY2BatuoH8EDBR1g/RjcYLtvJTjBlej7eMtff0FXxSqMh5X54CttnquNXrw8r6fjtlN1gnUwYW1urzJEWYmprLk+N2O5U7n82u/oqh2lDcnnA6P1Zab0HreZg65+ndP1MTM55IGsB3qnp2wPET1x177DO4qcMZfHaNxeod0V2c5JQmlpbrwENlwyFrUCbVnp/J1RFiWVZh7V+8jB+g98/A2+ejta/NRmRTHLtsR3ZkXxK650EPiNT4hSr3Mm8XHlUAD6/4pDxCdHndlIR3zfn2S+zf3fg2eFXW/43dzgLN2uCQO+OKC/c9wXT2qWi3ZQjfNXXjurtpUbMKSyUk2HRWPyDz9BaeOfndIdeuWWZRaa3Vqtrd7IYmizQeZzYBLzMwyp17bCR3RPXB42zdcqd/qbnbXLiU8t3705iqQ1Z8SZZEWoEOmE0uaTT6cHdO02/bJpIXspOvd7XnsHXBSXpKZgeYnispY5nHOkrpXJHey+AfztQm5+loyFegmvGyb6ycAI+3GG/85k0ol3biwgd4CGB7jBzrsCTOgg4TWtYa6862BDWskw7HTVUeqDf4ZrxxsxOV8M/0BH+Q4a26a+bSBOTPSkOtuJEo3O1Ux3omk8zr5AHBFPK75LFQ9qjO6wVJNc2SxnfUZu/alNvqeAf5Yc5pyJBy2lNqJ9CTIrCBY/gAG+77U+x6sjMtSjWmCs0mVlLAxHF9eh+XYu8faNOfJXZvxX3s39wp0Nmxz+1c7Ehdu/Zjr9yeuCHba5C1Nc2twhNH0nkXypGzqmLDwQ0PvCb6TPbmrl7qanZcQDzARvrfr+Wgt+VmE0/Ljd1YiKoL5TlLRywqaDvjhzaz3ogr33zpzI9cX97vKBrms1nHiwU9BhgeSyy3v5gQ/sBXuFcM3sRCO9qpMrUWVKIsyNmChwauWDmJRArD9MfoAnagDL7UoEH++XWwPqbOU5E6xxdFYhIe5Wwj5Xpt+QsDPjckWa+92j4Zv5Oxxg+t39J4J4T5+LiHk0mN5n2s6PO/yw8+iKzLqBJTC52vrGwsCvHS4+r/+qZ9pm4WDQhmhNbBziQhNnTRlloqa3JZqZWaY0nJbZrEmEnGfFnpn1Md74FGhj0i3YoiuOat5QOSynC6SpR62aBp5X+esod12zwXj2rOz5sQ2lqrZw94MkWdO1k+mu4jfZTjhBRdvzB2CIKgTaccTMfB/SQPjLNnwWbBzNTiIz+VAiTP/dbIRZPCbIpRPzGBPrOcv16X9j0KmkCG956HNFhkskYG1+5GhxWvP3dlyst5lTnf47a+Z+q2//ujSV2ewQPYGcWYhAzFPSqWw2xBXh/Plhm5t2/exbKVPXL3x4iaFDvtxYL/j9x4+LgcEvterfk73dztvYUTRnoth5TbZlaLSlQKTo9YeBmCXFfwJoA77WptL9S7g/AF4EaJdw3YGlg+gTJV5/As+kYas6MqYEBr0wIZ/+stC/uZl5UsXJw+yhWawI+Wf1Ih7gHB7QA5W4i2nttXSyVT4/E8Oyqf4ALl3qA2GTbrmAyMbO85LC8fOVUdRjWEHME1R8mj133+gN+Oi7NjEiRWJItYbpy9yRMX/r4lHRyrMzcxTGwwBc9zFyHwlIXHILvDEAf5XplNrLAj4gy92mD/vpwhqA7Z/i+Z/poJjl6gtd7ZpZ3qkwfHUvTyuaHlOuVD6lFeRwxV30z1/S6QHmGdEnC9ieJ3h9NJ2lt6xDiNk34JDDoSQnawMxAeWk2vnLwL6bfpCoLrm61mAps+h8gfJSa9Bl8KtCaTqETk/dLkjXwzBSLhJr+/oAzwWYFH9+n+d4S4RYlYfvImM7IWNvUhphy0auHCa2tuDP7rIeVn8ioRoivGwHtQ1e+UbrlePyywIdavNMbYc4wu/obNKNXs81D2TjK+hljJw4E/52htoA++IH4Am2cWpy3RfV/M5HXuks2FcRMM6Rmr1M3nS6qSLEqtFcZagz6lwrdXzHnSwl4clz1BeJ2ET2/nkKiK0f/VOALS/a4Y0cniQNab4hBg7Qb0Ng0+b8zxbhG+iPJW1hL4Nae2xF8WntigNtBm9PO703f/YQWZj7VAHoxqJDRkzOnI4J1Fgvs+k/FECwEy5z3uzQf88Xs+YlwATchx5KlLzzMyKpSWD8z8FiZUrxrwBliiuZTaJfAGS7o4Lesiz+ZtVk4VTfM/Y/K1cToDoYu18pkgKx/9sHZ3wv3awE92Cc9njKtWdKhsYrwqzYVZ269gn/CRHx5KpikCtsVfndRInFUDpoh9+0qRJQNcWxytM2Y2onVr8Qhnxg4jtnxWPTTmQpQdf0UYNOXMfJhrVpXDnyD7faVSzmKsQCOjN8w5Q/VfW0ykdybYInr9X/+6yRiS2bb74O15SIgjjzPC/BCiHvsFqafkmCWDLZXtv7Om3IY8j9Bm7z99sJ3ORM7Zb/8Mrw/DDrWlgEaqt4blfYP4LF+6mzLygCwH+6/ZuBvPswZQzTUOfHhc6+gSeajrcJ6Vd9YxAXw9U/m4JLbvqllKutAkyRYDoU1/c02pdY2wJFqyzB1lSO1CvZu6ZDNiW197qZWFsH6Ruhb7IoVi61zAEaAtR0Bxh7qqCVpx7uikxi4bU2cB/AD6D1E7nwkM3YRBR1zeNUsyWFrcMp61ZLW4eyeEGlN3odHmKdUDdTMjh8kcBQOKzZbmZglDuKhzOYVtJqPXbkeHJUdHXWSIV4kw7kwPeQc9MP112tf71GM/2kTdnPriDxqseV8pxDR8U257T5xZW9yVbUGV9cB8vWqpMF2rqzF5NTHpG/ZiWGSsIvLLD2Z3EVFAzulPuDz1pZu/OLKQASJJ61YgE4uTDan2uEL8GeiVjPbwdtjG50B6n/3pKg1T6lWsgzsHeccw2cKspCfSdBK4JnPwuYR77eXKmDXUvOcj8bPqJevnNlgg+fGcQ3a2sxQF1rvcIS/M4YP1CZX0GCt0hPoX0yTne+Rfl4YVT9m/63u8CfpzDyC/b3ifDZzPpROXCa2o+lbCU/HbvrLay1Hpwh3gKUcf/y7Yqe484h8Vpo8SL88QN/95q1xsO0BmxYJChj83oaLJc0CbvZGO4L8C/DaqsCQVxZbwR/YiasAm1VERjRIq309wx3r/y1Y9OAF8JCFOgKHMbCdOS9sPSUFBRzwCXwEbkZ+xD289kFbJiJNnulg5kdSNP2etabqdMq2I3hF90R1nFhbLHSySkZeWnSSZs+FsyeNyClh5AT+0qX2tCvZzaEDupW5vBVu/JPQ+NnAWq9d3rGgnZnNlwpMuRi2HHCfV2zyZMfs1AEsEKiDGMlLc840bF/rK6nDwi13RKQrKY8ORN1Ahuq5nXG4vVCGTtmwTYmD7YZiwCTm1q7PeGRyTfEt6WqXBCbHjuhh1W2SFxvJ5oR+bA+AKne5A2URyfOLUw729Fadt2thf91rjW9g+D2ZTxqwCDOxgXU8WWQN7jjXN9mRb7jfDfvYJqmFvaNbW5ULb9nlTw76rTA6dKf/dy/d++P0sX2DSHjlD+MKMbfUhJm8We3igQZxDD4LeEiKRrffIpo+aeBtEluJCqEFuIKDFrTUIBeWY48P7VDmeC4/tqyh3Mwmi0q7peVaL5lLRDb8ncn6SfqNI3P/Dvoc+C6+CM5DEXhdFVqbJDI5rylO8mApOpN7XXZN1z8FQ2+yk58iRKClvInayC3FMqsP03fZfiY5Bg6TK/j4byn2Lw+7YYiLOkQPwD1duS1gdmyDTpGgP9eEyU3lpI7k7UfDWq/qyUE59Ub2qZdZph7fzGywr7UbPzKXg+9INqrXR8Djz2bwgiqaYF3Pf1xp/CxwbpquX0uW8xvu/7mKKpv3+kTQ13IK5UXaXy7utCN47KV5K1iHPuqQhwzWDzz3SAxxUSL2rC14bsCPpU7NPtFc9+2RhN7jlbdJrPQKcfEkg/Uoz7OZAXQDTOhTZmMVLAkGL6w0eI7/zV2CGP6yKmbOoLezGKxnMdhP4P2VwLqjmgQCTadi5F2tv+6lNQ9m7vnL64GG/l8uUzzuR1efQPse6ce/R0G/ntxaNmXnT5QGS32eg4a2bTOw35xhmbeZNPWB9N30TmKgBaxk9cOjA9p+IJka+BvoqSfo49ee7wO0M8aW2ouodoHzQXsBP9umPxYPqpzdhTY9qXCZaJmyUf4UbP9k4/RRWKZ/V7JSDV5ix78TyhfwTFGNWmnqACoKK2E13mrevfZ8CcOPhm1bMyMOvOrT9As0uvxox4DTqY1XNTWRAo1CTnKID+Wo81O+d8FrzSc2nZOunQStF0kR4JZnkcG+JRYvy0GdTL4ZYueV37BgXcqCeZ7a6UuVATYCdoAuaBMbgy5EBxp6Zq7KYOa9Ha1tWlGzC/wOq03Z1VjYdTg5mC0TswBnO3zEA3jLoQ1pKN/wWrs02Pzl9MpgO2D2b4GYuSou32pG8NHmqVwBC0MEmKZjJsDXUt5nzkLh/X424Bvq8/aMB55kUb2h3fvT9N8z+cYTKlzwTxPtZztlXow79ueXwXcAFjyuqp8t3PlJ6k6sCUAXOOQJ+HIz9UqqB30W7K+18wBTrkiWA7asEklnnigshNoidwn4i3fpBuI3S0aEKkdxGqqsHpaX7n2Wq34CQlo1xwu2TE9+4oJnefAI3Yrc/wRuczD1z815O5GR7+pBJyeukibYWEmnZzmgPSyPo7KWJHVmN+vxrgqSJ+v5rJyLZ/rD/cWhFd9K1KY0IEexQ2+FUKZ+xyq05iSYQrKTH3j1sxSwqXJjRDvdFZocjzb5Tp/zKobHRo7oqHrrkXL/zML2nJ23PzKYFz5gmWj+6o3pgcb84ULPmdvqbJXwzFrwb9MDcNviNvbwx3wD7E4b0Ec1BHgpcJzp+lGv4OccmwrGeYLA22i8gMeLIXJtstvD9zB4YnUGj/B6Xy74Bvjpi9v0swDfYzDjhsdkwSt5k7TNavbPVmMbgMYGLTcNgOMyFduHMOgELlp8zEWDwJmC9ivc/Qa4UxQj8QQlVgVYnzivWX63Z6mlOT9UCqDYJCeeRDo1Uwga7gdNb99N7RnE24+K2rPQppJiGSvRtgcXH6RL3KNl/xBHb7gl51Pua+ZiRCwOHtuf4R5dcy745R1OYXpVVg1ePAZf0t6bj39ealngx3gKWi0zHqraAf9y5B5deP6gZ8tQZsW4B6eOUjl82dlOFyr8twLXflDOMzzYR0FjDnqbJgP+6wNzcGJcvLz3uF9AVW1qa/lIcyJAmw7cvB9uZljji5krnTECeqY9YYv/ajrlKkwifw/68WlmFRuVwEOSgxZiJNpvTN3wf9dCpeuHdFh4yQnC4d6ttZbgSYXgqsV5b4kOJVmQLnhYjrRvvxNreSShNvXxGxn5J8OVZfbP1LF849952luvYfiTRaayzt+rcf/S2NcTNXs/ZKws6YOWXxPgvipoh8T1QSPWm6aX+2xUH5XlfZwiwDFm6kHkrughzvN4SZ63VYGGSZ7mvP3DlmH/LLR0QC/iipMZdPDrPCxT/dfG9HSHOHhjQWqZfh7UbpPSwona7V1uTaNgelfqvZkTCvgkkxPyfeUsHhakBd/xUOaMdQfvD3AgM2cfAgKffU6wo3YVn17nOPyk/wLcgffr2AUEY9YM6AwxvFQ7kxf/cvCgZ7LijybyVzO3WASBJzT/aZiSKufnjE+9ci9LvRbXWkxW8jR9JmNkuJ/n2gEM+njpXsDLG1nTB3HfHwenMNlc0zd+At+LEk3OJIwTFaWW4b2iQ9cC1gzo/SvNg0fCQXcP81qZOUi2fEtCXBwsvpc9JqdcBaYuvYnYiyvL2sIlAc9MV+yXuj1zc64FEV7Z0wniF5dib5c93xMLAW7GDx4mK+tnYDT9k8La52MA2i1YuDPRGrF76kwkteMAfO8RdIBjZlD+7S+jNqmi/m58dWlfrs0Yz4U73YiFRxHpMXFsDz7rG3P1kg3zrvyYE8Bn8BfgQtEEmgyJzJI/Kf3aUEeVBSPgQHWQ7QjjiOfY+r9ZEkW/4Pq3lnV7bzrMAYueTfh4AIeusrefPFRdxeO30syDFYUto94uVjObKp5r07PBnd7Aj/+UzvzW0GKTBMW1MOtCp2sTFteMyVcfmJ5Y+mxmy6t+cqWF30yNn1o1TURgKYektauFEsRiAfJT8W8BHayB6xPwwiPJ21sZ8LAYlF8j8Ce8Bcb0gePbTTJ4XhYgUwf+V+dwCm73hn5Z4K/hWaAS+NdhUctkT04HZ/uGGbGaXbrAO/KVFV9Kiz+lDTzG+Wem1VL2uFRm9rs1EXi2oOVVDLEVlFSDsOfnMuQvrrROId9XueozEY+Yow3E0jV1UEzENsYMWbyf4GtmVSPKU9vk/ICjdu03BT/KrOXEe+8qonSDc/mTMBv4UX4m539r4ZCjctFVjn/zvzj4shMT8pn02wieS34AH1I622vhxCmYb/BI/FjlX5vjc6YV00XJtkKy1AGeTJQTm9oRT4n5Dl7Y485mJbSGrzdPM9fmaKf3gtYvTnGBZ2FtK9ODU1arakGzMtCjVhUlG/D1P/UOvGUkbcynTTqYeqybkyFZqh1egE+eytnOMgKNa/I0fXpvWA33Suxyxz/MLgVly6tmqW/GwjKzw0oalycOHsueooKia8mnEnA9JgGeMG/H49pqmvuSWRjVNj5nub/yEK1FrwqIK0JsNP6eubC2b5WwQbcFVsr0+WhPf31u2Xn2a+ofQNcEprd6tqst8DhXsw9En1uXD1OUReRJg/lZ5dgt7Ri+g3LS1ZbkhYdN50Lm5WnvpYXtj9WAxmwMXMokrhh4C41e2uaOI/+QdGb+EeAn+FbQsS3c+VWc571kbclyHxPb1IHXD8H1hoTkavqu1AEWoIsA+/19qvdutmovHcEvdXvw1eAbHa6bHcQd/ZvVkggObz8ytcTxGzy7BwvjouKtTvqJJjt8Lh0zq9vU7hMPsPNANXuCbnfKHU5Yb7PU2rbcbdtKgF7ZoRXej6m/gpjmTukq8zOvmgqnDrYR8KQPehJTplqIh1O5+r7o+SHJp1vW3yzmLEGSq4EyAs4d+N/SB1g7HeU+6H6zL7xsql4e60gDWsSl1L3Zd1jL53ZX/N/MO1dovDu6wL2axyfmFScqr6WFzoWFHwJhWYWTkF38KYbe5QL9KMEW3rcxHetnOigJmuBD2RjB85Ri9MFjyhtooWcttuAncJj0/JWfB/+oaNNbK9aAic/bIgQKcNdfD6u/pKO/y6L4DZ6hp8K5bQL752DJ5/G5dRLgVLy2n3TgjthJDVxvncwehxubWt0zvNu3pkutDETxay8g5emzAVTk+dej4NMJ25NndDOl+pOP77Y54wNYcGi4iqoQnhOSUgTIkzo12SO/sKapYpcHNucmzXntvB3keLkSjR6ka+9ctOmfBnjOgVx9eFdkxBp7Sku3sOFa7lQoxCAG5JOg4JoOrUdEe2Y5M56qE1QxEUyRXPExXdEJnN0Ps2P4rLBWTe1HH+dGd9ZD++eJlGPqdra3JNiuidHbEWBCaD2KAdaZRVjV9WZm6g9o2dn0C8UOOlUOQmWEASOxg7mkR6f2gPvfqPP14I7pdYeOKTd1LO3vTNhXDlat4J9csw/JHHm+PRkD24T8IHG8H9PjlXempqgFnLx5iSs7lU+SisCWuexqTljTqcMpZ4AfNgfNAJoHf56CmatBytImh2SnXtrmV+eWDJ4xLDQZSXi38qxA1xFLbeD5Dtmgy0ok1yaUZv7GpXKKJ6XoeApB83QYKRudWGDdSeAh87mTlQ8kVz5o/VYg7ZegV/7OE4XkJ2Nm718fudV6mT3tG27ynDygZs4n4m5iqbzK94+Tee9i2xYrTnmw7JKIAECqtIoQIyJ1idaHrPc+OfWnYjDnvDUoZ/TqpXMrTE83xE0f3iSz2vAU3qwmnHSmfQ8HsK4onquVPMs+7uAefNDkCVn9q9mHJgL0SOd/lm6yEZTva8ueytA2+YcNGfYPLL6uFfrr9/Vg8OSrsDW9mE3tl2aOtaFMm7MahOQY9PLc88hP2Y5tKjNTF8F7H2SCf+f44O8qr5/MnRYZtfC3cFIz9EMR2TcdOYMei8Bz//Uxg+tYzPXbmtkh4ENeiDlUrLC5mX8Ugp7XDKJxKZPztjCavmFbmbnBotZ0I5i3rwbvSgRwTPTlSrcHvzU5dE0cOYDX65FoKHvtSd1ZqALysQ0yQDJYXxQLbBcO8HSIhJmPy7XSR1gXZURG0Nad7ACpbeCTfhpT1y/SJ/xurrEQ7QocugCYlxVolnLYmm5LJHH/ZkmEoBu5tP5Z9aoACaYpiybTX2qUzrLngGCgX39SPV2Irfa8SzeJPYG+UalEoLmdmFb9zUvZvBHCuoNfm/jqH5M89aiIk9LsezuvnPnNq7N5D9jF0uFx55Y+NsIrAKdw6ioP7sNPe/JJEDqBd0KCm/meXJbOUhK4M9WDnnQ0KlmMabg9cBuRTGNCBNmYeYWmBoTl6LW+TjXjl9LmPrPAzw+xRc15AM0LbJFLxuaIB+pwdGJddDGsabmIUW/YsMyl1m+1xc8c/IPoZQKYdDt9zJ7kvjR/M+n7hVu1J8P2b+4SZzyWtpqBu8vKIk62wyfQ6p+gYVbF98vpY1tICzxsTh5HK8Ylr59KyLDqt795jyw0/YhaJ3X3XtXrbzyAR2Fkwh9bG3fESejfOY63osMfyYg+TsE/C3xDTzQZyny61OzhFTS2xEBCIS6bbN3b6XB7NGzCR+e2UOByiNkEPB/g9lykzuLXATmm9v56Yukq1/Su+q3pk/DqzfItAlLC+zgWIPRTsawqwPHR4W9lP//UfduBP4iTFffU1aCh0KdyNpu0M+fX8VgG87EayFrDfbKxv0rwclJPG8y/HqewFXRHFkHrV/3hhoam98tk1Tzxqvx9qfvpZvZAU2cL71GfyA7dqTWjE2hEahVLQ2O77tCjgVhNPraM9tNGaRQwBHqaojvE61A7ErQ7d8kOZ6Y34CvfW/N3W0IcgR59FoNnmdmUuCeFMPPvnG1eUvlZu+0d8Hfh9Au8oJnvlWzM3JyGtm/UWqZM6LWG2GcjOpnz7DJoBehtlpl6oeB1rm3eUWZ/4x28U95eijz+KF3+zCIpQOPvs/xitOKt7LQgdn8FTrGAC1AJawP0EgOddIV1clchjrF1eRzBM0raX6vocsfD9u3g6Adoj1e+F7jRnEEAkTtc7hRNb8kqc+CgMO1nk5Na8W/NaMwbJG+AmTbEnSUp8sBzHEi/3MBzLdJloE9A1URYZMHNBl9tJ0MMGD+XGY//+sAAzwJGt/DuybWJ+P0kahc8fiKRnss1uNM18EzdD1x9wx2vyFx+gXi14frHk1BYRf43FQsxOFU5wQLPnTfgh7jDc7mTcz3I/6/vHDd9erwm2zqgU31i+rsGqTkfRRPX9ME0ez3eHu/aCPgTuBJpbGp0M7NXWN/F4BHwraQYtpvfvZ7x3S2D22LyXxj4Xa48f2GUoqrnK3BDuIAOJGtjZhPT1DI9uYC7AIf4SZjaOS4znN2ucD0z78ijzvSd/cZNfMUMlpjp7+Js4ZnyHkfxD+C/zZBeuf3+16ediOSOw38PWENzOuquDvQesMMDmLEx5RfVtyYX+eS9/QbeCyVahXV0Ac5JNgnXZQ0eqhSFlaD6buoYakfnid1uUnO+worZwfrLES2ZC14xSMBX2G8nuMbRar+bHbIbjgD73h8K+Qz887dg6rf25+Aq4CpeMK4+JJcPM580s+JFia1l6oap3m/qPHmk+eQWz21ORv7KVd5VIIHDYP24vllLC2jNlfQYE9Cipqce6LI91nurMLMdWPKo+MQxjz9JricK+pxEU1qjwlGae+A5jhlwtjnvVkX+goV8mFntLw8LXMtNj746jzO1I7cK3gvcJ6tWaddC22Yvjw7srjppziSXwP8PHuytqrfDGt6JCtvPytqiWtg3TIH3xT8rdcz5eW3ys1mqixdGjaBD59Q1PWlN90dOG6Rd6bQPGmpYmeS7traaodYRbPtd9ZenHB5uNipz+DQq9MUSNE5Mhwm86k/AzpwM0wh++NoM8pOKPSAp/suZY9o6R/BYIgQ9HBVr2m91smvXhKUbletf3WrOgf+Xy4rx+v6E+3tgG4FfCTYnyrNS3B7wGT9PCJxJhFLqzEfCMRHBxc4EedVHafBfZ/BuXrW2gOse+A47J0hzkwNNbWS8yVwH8Q4w/coZbs1caxLGa6kVhXXNyei/kcA+F0JmKtJnEaFj2U+xYp6ZoeySgLx6Ol0q62uTBHsbNN4ddwg0mQ/6vHcw+DXF4owGcQq6YsS7wpxzufEItFEIGDAmV/BqfkGLJ+jZoTAzotneq/W0Fp12yaoGMaoZUOOFG2UyYMJ2PCu0Kumw/YDPfuDWv2fN8ZWuMehzvsG23Jm9JWbJtuSwum19TpkN3+fyxLb4sLZYOhMtwa1LsFvKsguzh8j7vXewp1dO73ri4A8+ts9EKAc8DuipxPTN6+uPuS8dD5kZHfVOtU2E7uY8bLq+20drm5W2ygoKetnsnY/xmUB8w/r6LE1NFMIt1+Qux5gX/V+NdFjYiZmfMJmeMsTWEFOcZFwlONuewHvBc/UlyaUmkQoLU/8aqjnbcYjVBR9cU60VD+Bt3WSQB6G/wCMRuG/Zy50Cd34Bj1S/rpWAT0KgG77LXQ84RYpCYJNPOMre9KrRV0XNzju7g2fYHRwPfB0+Fc85bRiRWHDn90wRYO9vvfyO/JQOBn6IQ2nrGDz0yNjXKw/gqoikRRdsjmucK2vrYtCEoKo34CfmytY/ZPA8xb+cg41t0ERr2slDudbAY/wKepuZ+VONLn5rCJvzvAeMo8ztvf/6Uic0/8sfzty4XiQ/5Xm+MAZezX6do3ksp2yei977aTqcwNc/nKuwCfkjAb1gzg+duOkvPd1+z3qOCXB2+suH8LnBE5K5YRubRe1Ls2meT4zl/r3eyQe2JOjfRbModaTNl8Maf9cOj9Xod81IllR4Jfj4vMinxJw3IA7oz2j65EGbVsJj/1/fs0ci9FLl/pH/39nbqFoVYDhwomt6HpCUhdMo3elNucpnkfHHPAVMtBW72KrfrP99DtYMPG+G+Kce5bka25zq+Gl6v4Ai8eFv3rLI5BH6O9av2VW3K7bmJ2h6iNzaEn383/kH/AncF2bgFcAdFdT+AlzzTse1d6sBPwi8I7NnkFpogbh6yAhiJ58GcwYT1nlLXHQ00wkLZ8owxOwrD1BYOgQf/qz7JQc+LxNncz04vMPC9KjAvpmH+4uHv9qmftJd4NKO3yhVD9ylVxG1Fqz3PWjZRxnA59T61oRoQwfQAKB/S/o683jzwD+/lc7XtRTw/0zqSiuhrLbLNPgdixR0kLeDOZOuTW5df8idyZco8IcoY6bHV5c8TkK2jWBOAxaE7sDb5+9emUu7iSZ5En/1og+ZxxfJwEsiFJQD0fBXzDnOM8TejcD/lznWcG9F0rdFFZAd6OKHXNFbZnq1cFWS3p6JDf5HbF2F9m5mK1LoKaijuGfhZiGO9zqfsjQanyWS4DFUV7NtBjF9LkO9g6/TzPWBQzkHPc1B2/DCBX0e8Atl7NkMS5mF5Ae0ZdZo1RMkJVwX7tn/zJjtJgGiwOsBztHfWekTRVnC9k9Tp0g16nAAWCXmCFzqJw7M3v7kF30Lz0d3kmnG2dalfavp2Ju+eT624meS9y5x26noUqvIi1WEqgCP15YOSk1fmZf/KnfMwb0KTY8S4NNvNpo6o+0n7YK16siV2f5K3K97ZfJ6O1nwj38r3aG+cLEFeCST3gOv87v/Zs7ATCV999Jhe+cu9lSXrFX+N28U4lU7jTlP48pYRWhfrIELuu8nCbc+QT5X9n41vUzqzu9/e+xz1Klha2ZVfmduG1Q5fuKRf6ZC4przq+nX0wRTVu4IIsKcp/7riyWqUG1qpFzQvx/S1avqSFYGUuJIj4Ut75kmRenijoXbtRqnc00lgucOPogMvFNOwewW1r+J1Vyg902So49yMNXrHLzcdMTnf3/1Gyo0M9cDhzqmBu9rA3oGGK91OGrDYpVpI+xD0YGGdxBORDunZu/Nlud6sD0x2O2JYkR7O806aXK5oMFvD5ZzwC4/5tQP0h7NL08E/HrLetPjjL8V9t7MUJeAvz14ag0YjNRgXQFvHsV5JpXpn8JiAhicH9z9PWVkfwqB01z5UFrJhJkeQ/NYMpQeXJNDsp6ZPb3yokSE8lOw+aNa/ZKuoPBG8M9R4PEo9pq8dWg0GU/pNuKxObikox1J8PPfSii7cnNO3uW/mq7IyVUKO2MrH7L+8gD8mPkqF4ih17Voo9sP5kxCulhnGnRYJOH39BF0AilH3RaO/VHYk12DB5A7/FONvCRdAP5rZmb6dsa2ZSWIj510TUd1TXNc0HDxlVjeCLMBe/9q2jk49qK05ZG5l2th8nk7/QMelIJ7cnAGPDTMNs/5tXDa1kzIqMYC1lrbgQc5MjafaIDBP+iFW/MF/IkQA5/JE3Sna2YZyFvJ/nKVjA0KvPAW/GRMmsH2mzxO6hV5B0fGVXhZ4V2g3xnXTm8ptrzRbJvSfFqx01/BO9ks2Nj/4XwpcpI3oQKclwezX4xHdZbAS/9d62Dm3BHb9LvWJQumH4IQxmYGMdW2BF9xYvAZwv/6ja780vTwfdOP5mO7KUX95PA8sMuBg97vmC3gxbbMfH3agY9fZS/y4OUdbG7OFeSwFj62NtPv98pGZ9rtHeXAvUb8dy50E9qGzzohpu9mnHYJ6x9Ctz9VxzNBi+sJoRLW3qOJ/APjvzkqgyE5eL+zOUv4el+J7dv1gBzitBeGUJeO08zH/0fVuzU3yjNdw3+JjUmND4eAwNiIILQBnQFyhYDAxCY25td/rVy353m/g6mamk2MUWv1WlL3agK6C12Y273xjTl12XUEdUU15Buz9YND3jlH8g77zgYNvYgJmbNOATi7Mu5fQcddf/30xD5qXPzyWgyk/evl5sFe/SoM+uu/DzGoubG8kyo5g7x7AT1HuJj7mnVvjZt7heNBtlKommaIJ5STYS4rfnD4lnDY3zoXnObah0DBCbHsf30BRWjHSiRFPuiSISywMaEME53asMYjOgGP6gobdHG0RsaDqHDWkvfoJuNE55S81ZsvGAVda88e8OrOcCm2ASOJjb9wAlwIv2I+ghxigwZikOMyaZEMOGENXHUFfsubwYu4yW+OdySIlylLNzP7vEU6TNkKOVFtwE0SrlElBWBliPKGIjeL5A7i5Jb2ssgd9PLUldyaZ/hZ3jmsPHjj96OzAmYo4DjqSuLPtUEqV6N0UjMjppRjGyrQhMzUboWGM9JtuJrelex9oarYvwE/xwy4XDrmgK3GN3b/isN7hvgsi/0XYO7Y9qb/UlkUEQS6UFJTU07//udp1/uVcpa5CPQI/JDIIdE0Dq8yUpSNyGjNOygY3FK8SqEP3NSyAV+mgrx6zT7akbOi9OnRzu2G4ZvxfgStJyAOtwa4h3L1LUMM4kVHhGtzT/3BJlUBVthFoBwzR+ZoA5OyugE4Dj7r2a57AvkBf/G+q0iAX356TzYmKY5NTapyRayuJ5dkNPJ6YjgsJztivJWc5NRa3q/fD7yDzZw7ZSWH+JUB8CXjM+0QUHdmdhTowUhobTBx4ePnU7J/PoGPRqzf3Jm7Bl4l2f7uCq0iQv2pEsk133RsvOfyUu4g5iBndbra/JQPfEt7bHy60tRl91ZI3/hZyyB90nh45Jb3XVkEsf+/JqraUmWZ2A8cclTR+zWzK48CmqSGq7gkbsc5A/0l8OiNLe3e0hi9McfUa/xZgWcVuYs+YG88+WDwVl7TgP/g4c9Ojvv46KjvEyDSq45IxAe3juyZcdiPA+T+TV0hQ+d8/ONWE0aYyrQtbvdzIDPA/6CGNSxGcgVelRJn5cSpnBRytbmzAk6Ys/c/uyxQb+fY9Nf6ZsbN6+xrJyb/AXrCPTmVjUPT3y+J4YOmrsjMG5R2F59jLAVTlzbSI7HgMyjEDVOFcWZoe+ZKaxHE0aAv1tCcddJo7lvur41l35kt05d2OG3yHbiRaFH7BL1/rd3ulMa+FgGsVaC3ls0nqbsSnqlX4fpDJtJjZp/IAMjyXEDro5RMg8es5SFCXbeAcRn3CejGsB4G4DHqVSP9Ac9mY7bERdgtFHXPJvB/Z2227u+8mlxElZsFQCVGlOEoGfA4/7SBjhrbn88cmEffXXNLJ3I6rMA/3yjFGbZBf1F543HHTs8//+d74HjftSb977xy0CSM4l3LzcwgPWfFnyvEx//mlOknsdYLc/bAd/aOiJMIYqJSjEBOUWa2hNWWiWPmpwJOkZbJ2tz9NNGrNvV2B42Zw+o+QQ+eeC/HdFzL3OkQcfZX0auUcX0CrXmtNPAAhhKm1XtKkyAtCa77T+O3wIw/wG+unjRwIY0hZ/3U2+dWW+odNPqrtidm43r59e0WShJ22EE82OdSljnlXYt84wkpK43vLSNjDpnazLVunM6G7wUa1z/S0INY61BqnOwov+L+t2LfUrE+ccY7VspXnYNX9J8PPiobEvfP+b9e23sdwBqMKyvcZAVsKIE7cuCGkC+x3YT5qgZdFA6obxsx2MdHcxbSTv5NuTw689lmv73WSakgL8no33pVdJAnIZTp6ZshN/mEoyd1MGhl5ash9CoLH5UGHThi2tLPBwYOwDf9bjhs7ai8LX2TW4La9OHqwdTKdLj446aRZfpld+evP69ZtDb8XX+OP72Toyw57G/V2D4g74SgR3P4VZ4HBpiQuqLYp8qe13MMuOfyjkOc4mG3suFwxTEQDnOubdkj8C/nZB2e1OoYaHDX8KnX/mJOdYfP3gH/XSCmnylF99SSohrtlJVEi9j/kVvr4UDdIL7X9PlnbXs+V473wUxPg/EmnXjEInmsxt3WUL4VzudT9T6slB+3G37dOyw8TFw1zjUO8A1iIYUw7bALnJ9irw5RiO3khjcEevlg1Qg+Mca8sBZYC+KTAXItYFvB5Kkt8aGNeFFoPdTc+J+xHfCdpGXq1Zd9OTP5Du8lxQz0AWjO9GtfNrRagUHc4fNqwiDvxKDvrT3CBoO+gFNP6o0bL7YeS3OO1roX0Ier4fTO0bFWUEQMA2bAHvjGk3zhxjULPy3Mujtg6SEr5xHHPqdOx1X818zl5pDvesiZ1yZWG+QYKfh8zNntkZo7xkB/N9vfO3H4AXTKTAbmEdClKlKYMA9ybhfiUb44dgzx3dNYPWtzFytCK2WelQ/kcUa4g63bkYD4okRbSw8Qy91GvpYA8PMD3oc5h5tqa+7S8PLkvX4Xg+23xf6YxSRhLmS2qHNkkPw/vUtLSabuP/+70D7WljcK4NC/vvrMYJa/oxYpKNtbGQPkZWoys96B2h2M97Yquzc5krh+X74xG64y6GzQjz+Nqzlo7O86ml+5siiEZ2opdtiROXVAG9uAf2MCS7tcuAVc0tGP8/h7/gTcp7rWkRoKpKoimi+pa+a/7qsMpU8eaD8LbdAzi8iNv3MsVx6Z+kv9Ot8YiT2XqdUJyPwd56HJKz48F00HNDac3+sJp0rLn8Zauem7AFZt/Cy+c2pmt3UfImjhe3ta8a6jxmuY5S7EUq0Q95TdPqueveqjPhRwmIwlQRGSXSYsJxPIakMvb6M/xreZwud5jZAX+N6IswFyu6mJS36Yg0LQhaHofR/4+KGyIKe4h5UbDz/4+adNZ6AfOmCTL+3wU/foS/K/W0rDzcyJFBG508m3qZhlWn7CMyfvLJY/hTbztHNPWV4PusC8oysp+bEyvbMmdgbbA7b3RgbltNp4vhtfUwa8u3vdO7Am2m188KqmZA/OtFfYGhewJ1o7ebY2d1uqmdE3LZLCzJjO7Tk42nzKHZnKMLmDHv/hE3Igl5pa86yFGDRejE2ZOqRHhPTdP79l2ace4AXO2D5oQ/mbQ0TkCTElDuydjYQ4wcL7ZgKnIoL34KBvbmurCbFlzrlAI93OgszMJQF3O8ZDHAEXjQvEA7wRBjr39b1mST9tyW4OCVq3dslJRmb2KrrX0RoUTCctfC6J9j+c8iNz8U/BHk8eke/aJgPkanifqQc4A1wqoZR5AWjpDGKLtBEeC04+SP/vPuVdAp+G+Oob1w/E+94DHDb+jwcSfm5nIb3KWY/Ahb/k13JrHeNtpkhhG5eK7llAPoDP5akObT5gDe8RHq8rgHNnPOSnmpKPBv2bYX0C7Xon1h4XESa/vQXAi7GD0rZP13PkHQUjWsKeUVNnA28ZFbO2I/z703O/0NGujQcJHld9cvVFvt92rUuw4klmepTOoGeq5/51vrGp5/6nAH5p/K8hTp2q14dm0wdppyvwOdTA96y+9m5qd1E9LD11/a6JkKy+liE39RDRQojz6wfgFcZTAyVC9iqB2I+x9Xji6MUPl1WZWVFMOVlQOVzAcwGGsU1bNEQQw3+fLVKICuXhsLWqASG6JTuI0Z1i6pTz7gn7ylPc33KxohNwd+B0Pjx/nzFs5tMSGuDX+Txw+Ye5de7h2UvcmwnZSZ4FB6elPII9spkcQiCXgm48AH7tYH/01P7c4a16NAG7Uxvx/Gv/TqfBwmK5VRSXLJzNbFyrYsmNDpy/7jjg/yZ5qT8ka59kg+8wdN/EPqz12JFGY5KLJawt7NeunNrRCxpnqeqQw+fCy0KfVjpInwVdmHIZ1VyaOi7rHJAfbHczc+Znur16b5eOI9SdxxxU5RKTqX3Ww+rTsRMyBL1s+sCY/hE9f6fhYmZiPiqd7s7MTnML3YG/z5iTVOjkrTCzOcP5ow2QqQWYQbNfjC+kZParZ98HDSBhDydiwk9zx8Nd9QHa3RUBn4qJpwTNkBdtXjvGr5F/5b0+tRDzsifa9EMCb741SPYQA47aIP6Zx5iFr8A5jdb49aN/YRQpO1N7SFJETsRN4iz+PePToEVzOpKahZZ3tIA3OfYiS8jXWtbApS9cWHfcV9uvtgwfV4L4A7jfzznUWEbdlTI5c8oeeFAvnM9psUQ5qFLQfDkP/Cx38bNwhwcGXAT8+51xB3rjau5WIIeEtT0f2DQjSvNd+mXm4Kk4HbxJ0PzKovnXJ0FQ9MOd26OwhiueyKt2jhe2X6RWclQhAl57gNiVoBdM7zLe5YwbD1SpzB6egAc6yKpKc24JWqvvsACGdLLIBwWdp8xcWiTTJqhgPdUHQ6B3R9DgzPsfn79tfDJ3QGo+I4lq59Nm9sHD8ey0oX0RoUeKUN6UDdDMIObChWCtpnSCnCLkkDo7DzDWnBt8AIby1Lo5NVeMTvy7sNQC/PJwdNYXZzN3Eyn8+QcbVQw5nxTmLtXaG9xBoJO6VoOGML2ZfZKauVLSWedG6K9qHB4Ccj+z4HNs/JBCP5tS3xWVKBdJiqPuTl35hEB54eHSbJ9rO6FB2b7MTP8sswtSAquz57qi/rFyZplPfEnD+QjcwQM+E6toWIvRcoizrCdLf0n4gTL+Czi1e1ZiLqrB1O578L50LW3/9b2e1PZZzvZcOl1ytIELuColXHbNxDs8PNyTmz4A6x4p223tOB8L1n0A8XFZgA4ScJX/zhlactiD+Rn49blUDjV+bT3qRTy/nb/2Lw6wcds/gA4ATJJvqaV0E8iNAIanUfLNg8MG+43xeMY0WuZG+5CHge8DH+Fxaxtf95Mzv4H2987D/JRTbv3Wm2ulz4ECLSsXWOsXHtaVs7sWoCKBAN7pYBuN+AY4WLQxMrUG3+k0O2dEJB+snQr3NKPYB/6D0xAQQ/Of3JkD2FPvEJN3sh1czvaUMR41I7kyqu7c+ufReknZYu5iZuzMZvZmUTvLsbHNuYKSWSm/sMOuBjGw4+1UDJlGLDMOTM0cflND9wD9Bs948MyZItu6IDP9wGF7TzdMzxE5ZAF/nbM9Wwb72SXAkQeP9PKUOoOZbZoUdmgVAvJkuHZiXCdq5gVZCzmLDhMn3ZEQcKZUBXyvqtgQ4WKPTF2Z0L6XRfs4taVdjdzJwlef7+Iwlnr4uXfar8USPU5rgcMM8RU4Yq+m5Mmfe95MkrbicgUcmUggBx5pyO1dBpI6zSJJj6COc9ffEdY6OTX1OYpVpRqBYz759PnSyzbgUg7rOILmKptIx/mYBK2VhMxOkAQeTyIVFc7yBro1oRrVgClPbnVdxrTfjuh0BjVnjJLyEQACdVcQxR4uO30OkXMGrdyI9p8XQbulAMzzjvOLXdvYO4eJFCNonWjncqdbIO8da45q7uKkRSRN2f6r5aD7i+UHm35ytyuYs6+KER0qtjAa8KRxkKmN+qkc4PST+lcD0zodvB9tcRdd8OBpyItvgEvvqWV809UE2szosNzcbQjk12QyOt3c7VZu/X678zjJxORnRheL6dOhA7qoMrHwJt+Bd9XNkLy03o2y7lI5yQMDZhPTV8rlqiyeit7QxBm05jo1Dikqth+zaLlItxvTgJMm1p3xWuCjd29d3y4on2m49mdznqe7kyx+vbm/VDy8Yt549QM280UKbxW/54D6ToZkqqwu5qb/qf/vfEpZNitC0FPBXzcdVuBUB4h3AnGpb3JK4nYKr6r/3ERAst/7+sH0CSif/vteN7ce9qAT/e+TC5jUK+MTZLHIO5xNb9+If06bejRfBp9vThYDx0Tqd56U0RmwX97SrX22z8XNiuU9dy8rR+StpeQEa+c1ujOzkF7fC7irf8nH/IFFa4HumHGoZmZ3Ize+XJx/tYN3aqME8rdy4LttGfcr0FqHekjM3CzYj1ozcyc17p9H4Jrw/9+lA1qunC9C66d07H9ei/COOhrNRSZ0Bxr2YkqSQDsuRKzd0e1SGpnRKXgwPY/wuT9sSEYcLuace2g5fpj93HJkk1IuoOtP6TRsPEwiPiVeE3RvWfjPDzZrBtzn4805j2qgLi5Olh0bz/6s9CtsmzOopDtTf2Go8mSAStCyF8jxbwLN1e9dRwi6IlAfysU+cCvjW2Fxh3xD/gIt5w2wV1/+vaan71lonFYOurVxdScOOuY921rIYFl5uSqdPP5XBwF7yY+I8T8f1xEDaJyeizC6i3BTGR+a/kLWGm8zPdsSuC2z9s7Jnl9n5rDefkqDdiPFkkM2MfMIndOWPoHjWWlf7WAPXwrNn2Z+q6T+M+8JMj0sUlzsgpEi1/g9M7MVejlDHnuDvXpXIyozxn3et1Y7vPyWgetECBmPhRoYdhPoKR/xNeWJXdNkqy00Fjanx02KtEwOGKEv5mh6hn93dOcr8FYJuHOtQ+CZASFqyu+VbeIG/Xq+gAYhoGdf51EzH5IbKNw75MwV+KXFB7VmMfwcZ5mVhUQRzX0hugPkrCXtWxt4bX/ckEsYJop5Q0WlS8cb/Nwkq3VqNVFSEldGR2v3wOOiaURecwMjVSL7ZA9rs6npaGMO+OIUPUqlYDtYQ4FBW7NI16bGqp5miSN1wxbR2EbAPQ62mV/FrK4orDVQTIKOCdcW8VM17gHzgd+w9XWWYmqM9XnyaV1CdrTJyJh22TDvKks6fKiuOLJv2OWgZz6vR7vrYA9L0BgJ6FSI2cczi4gFe2Ripd7kdFmlk5TGq8icL2biz10gHbzuAtpRmv7oN7kNW/oOWAYKmEX7UurcAx1+UI681W5XnSc8tAjWdLTgZ6ROCnwWctxdRLnHrc9VmTpRW91a3ZXtFoIeknM+HowG/ZeX8aBXKUgJzOheWbhnASY0xit9X57nYYAY4Toz/vZx5XI33RXB3ysR+9XMFzL3/7AfHGbB3nW8WoVK58U+AKynzEIJGToqHfR6h2+CYUz0/M4QAhxKroLJsOWyqAX5qbj6neONSzPX1filzK4cKy8tgV9t/gC64wL8PsY62QSbb3LcA1/RX8bhuQWNcdrMPHTSv86xKy5pVtzubcSclgGuxsM1DTqI1c8nnbqe9fzRGJ9mloMezh/wd2u9ybEOsTD+qK0rhblP4ePFuJcNmPpIsdlJHVtiLY+MJi/9deR94rXR0tcBN3UOeTHNXe50vdKdzUM+s2H/n3fOBhhVVo90bB+/3uiIBGIgxhPDwe9LbmYbtIE/5wI+gRkPO/gf+rDJ4IVRSycm5DQCdZB/s5PtI84eO8DaAxHzF+TjuBG/nAH0skdypzU1Mz+SXdzUTXaCm54gwNxi6U9OdRXhcpOaGBy6U3HZ8OYnR/fwqkvR8A5STLGp09udx2Q4burd3NfDGq0112kzrpy4n1faS8AuPNXAM01dV67zHey1H+CX1zbUoCmly0bIbpauIP5n4BJxrfmacfz6rIhr4LZPWP9JSuCbmo06ZiKJROmf4LtcMlpd5ajg+8iOuboQHBdmZhxw8isGXK8tr6g0foLWXEls7gV4nYYdUz0uji6Pmw0vr7Mv4+XRWtYGvHPLaUKN7wUfZEH1vFPRpycm4+OvXOOHWWjT8otOOeionB+cJlbf0k0EZzMpHLMPkkRa6B3esU1jX5xHC/JE98L5G+yVWy4unujlUJVc52W+Uz0wHDo4tdOCNsEB0YnfWLLAA+zfUY6gDivgiQM8c9yE9gra/J5a3aGa0idlCrTJH4vzTzMnBHjvv7kVkbLW5VzcbBmxK8T+DlitBu5hvKkOJ0fbUnDdANYqYeYuKslKFCnXv0u3fVbT/C00KukIyxLzjIOuBd0Z8edtA41iqZHTdvRetXOi3fSPGuWPCpQNOqSqI4Kwha+txRHozagqjcfWMoAOnM/AwaRuV+ALFmE3lwxoB5rVyW3gOhZ/FrYMiqG7c6r8VOOROvZXZe3/zUOsB/0A/lc2g0QFYAewg6QNeZKXaKM2lmkPuB9/rjzGj8Y8LYPIF15ehN0Iz/gwPSg0UN9taGo45qiYAJnf/zhHpxtqSr6AC73yl6NCe0eB34NOoDRMFtNbroJ8g9ybmzlCuVhAbZBJCK8vAuNNPxd0QjoTa8ldflWWcmsQzgUg4n/ewfiRD7wGLpkebRm3zH7N5EqBWw/EzFPn/FgzM+vb9JvwvB73BxknkKtULoeVVHa1a8rc5dovqrKTDefvtavjiuGcwN5V6OBlgbzUjPgkVscsvuwo6CPK/77Oo34aB0/ARd/hu2YnK/dStyOpczMOnBvw4U1ajysf1+osLMB5YmVmzqxWX7JXfe5Y28mSO/G+P2VhB3yD71rUubD2OWSFwvQVpY48vepFc0dWEA0fZk4oCzkGnnGtuC7OU/vI2XI/bWgoGM8BhyDPKpJbSwQcvyx6eVAhaHmxwHeWTmWtK+31BXTjiVl2mHNpZgtNzfBvvt4N4u1QfO1P5yh5k0Z3OXzCGgFGazMHw9xRdlnZriTE98aeqYxR0ITLFX7vMz1TzJIMePKxjdSYi3wrYlSbGROs7H6AY5pzrBc/3NLt77OhwC7YEgEeRFR4C2jESzrqaz7MvnSVS83dtvFlQflaBAkz9Qu02GcnN/Flrz+Md6EMhydoXMucMyqKvwsXVt3MsYzIK+a1ROobdNWgeLo14T4wvbzAocz8x0UMaDhHoUOFWmm4v6py5mk5/Nbp0mj1cNzlPEAZoMwOeE0lnf1Dihl0vF2fBX4UDvlInX++xKBJzXxI28LT4FbAIdLQCxngH+idoUDVyjlf6s1HBe2qDCnSxsMOOOpV6GQ1/Z104GXOQAONUraxv6i+s6Ql05am1pl536DFXudsZiK2qQszo5rsNJB1NV0gn/hWFgwu7FXQrv5al6amO78b/wj13IMW4x9y8mE99U5oHjVfv3n5KkZyI++3a/q1n3OtfxotZepYr5zyxTdkZoMshWObc68nEcuu0nNwjtVXrjssSkXzUdtCrGnukhi45lTbfDMYQRnepVZrmbP4YiNZi+QIsehITt4bZj8ajSo8Wq/9dUntJCd97gLxcbMSYdj3HzXskCzWWQt5H/RSCZybV2LW1bDnppa2Gr1vEj2u7aCyhiKaO8uujYmTlirBge4h1o+YKZzDdyB8+DfruQ3nImdyzUviw+c908GGT+JY0vBhejsLsfotBy1sVw8RJsC7E043dWHRCmxI3Vt2uNPQ26opcRTQNIjF6+9cemH8z4jdOsurj8Nisc8bN3ykzLvlFq/aHlumX1oYL1Rbr4UArRqtjJfoIiCLU8vO/otBFasS9rCzr+TE3aZPwux92dUu+ZE6eVNTe89iLgDDX1w0BS5p6jNsEXIPdNtGUWrqxYOaS+CE3Yk5oAWni1uzZTgPXaFQN8lAd0ebj8a7XbwvP3UEvIAenucgAR5GahZIN7XmrnW7q/F6fJ3pHbfQAT7z4GaeaNiugKUDaKQI9NUV+Ny3yaOnLX9SG7iT2TsUndJi358FWVlMPrKSOKLXO/gs50zTjbh+WA2el0I+KgZvq91XPcAyQE5/AFfzVJlvqdg90+jgkSes4yR1WhruikPM5FczLg5n6fPoYqvt1WC0df5cqiZmuyK87OB57hXzptb9Czll/hLRbSPaf6unf/6HFuS1a6MvbuuAtnWWWpbyOyvTNQvwIKfEPofeeITdqeLUw0EH66kEpofrebrc6aB+QLtcFVdLVqqDEp5VBOiHM+M19Hk3ZwjncH1/6RQsDqZz5g24cQL/x0ldYFvDcOXuXFXCeDQkFuaaNKP8Mr5a8K5nNZi7be5XwpYVm9HR6uZi69La2R8BSynmPgLuTNoB2xXtXnWVxr++xBwBI9GQ2/c2xLuTFXu7GDC8f5IqR8/pZnqA0xUPXtFyvzAe5gXTNSDN2vb+u3K70Jwbpf3B42xfFs6fDdb9qkLj56b+Lw7Z3uzBJXf2B255xpGg/PVimOYDaJ2yHjy/EXPdsD3k3otLuAYkAfbB1h/lzKzaUMGH/f24ccHtv8Z7Isf9sMkezcCHXDEurxrObzl2ohj4G3bIiU6+BG15UTr54SH+EIGez5EdStNXKOZLUR52qfHQLSvQcmbe6vw794yKecOumUGPUzOjNHcwBs79Afu0hth/4TxwcVXAsxJW/gX+iB4n2Gupg+2jA8xa6w14RaoiyPV28o3H6g5/P8jReqShMrMYpzQgPvz+G/ijxTgaAdu1jDoP1tc2M6sl9/MXx4aclEvgH5gy18y14+H8c+7N72VGnMudgfbJS7mBLoqL8eCdgXenGqWg72tqy7V+LqZixniTHZrnvucBBi2ARRPjgcIaGt+8l9Y7umqBfZcXfTJVlN8KOzX7JKhGBFxkn9IwfDAzqyrQfirsuuH63iB+h9j4nWkI/CSS1h8zV+Z3jmsWeV/wDC5hkp4sJM7AF144z8u5JpaSGHQ3A614Hh5mZjUwzn2ELRLyoHqqqH384nxvPAMVP4+eQ539txSDw3t/Nj36oLXvhCcWK/GlEPZPzewoH5VHQvTi2InUeiAx2mrGtnQAvcE80ys6NOa+hHWychGHP++AF4RFqGO5hU9seW9F395TlwHuPX7nd1C3uqeR/X2eulKwPagGVVGKu/p9/+JRC+jJKTV1fQi5WaB3NJTf50BdACNoYfs5YI9Vmw6SaP+UFA8ZRRNwlp7xi6n34+nISSXQR855caafT9gfm7lzMr7yhf3Xq+x/nrqW8ew5T0n0O5vUuVwlTbASJMc8+Un71Gn6z3teVg6s6ZRb6Bd74B0eQN9+1zG3pKld1+yaTnIwU8HSCc9nxDsWccgr+U6y3QvnvxX1e0Kre4GGKwvQd+Ug4497r7eEgh61UwZ/93XzUlCpuUOOuegsMtgecNTqXF5s4zUmBpVynmzGl0LBXqy+lrHahifuD24aq1ftAS168qSTchqaPiA+XOIkPw0bnpyrUEwhYEr3kU/5lQOXgM+K5KC/QAff+ObHJ5tHsF8p37iU74tFRXIHjbgD1LbUAHvPeETz/KUrQe8usXJkn7PQ4lbyxLFGbfj5BF38nkaegD350SC9tvZ8opEksJ5YjosvBEmy9/2tDchIGKcibq/E1h2LVQe8/a2amEPcytTc/j/3DgevBnFYj+xBxuSiIokh98M7Um9NTyoJ8VHp5IhDstF43kg53wF/TrAmsQykBq10M6dzv3NktC75aJvZjNd6XE+F4z1wxF8xf2fWp5NPysxdL7JovUmqf+DnXM8a1snZm+PNtZ7Sa2GxKwmNZ9YK8YRHbM1fdZk80823geO907D14M1RErc7+K6gbxEqAJvr//O4O7Gts7OId2TAO+CZYxsrU9dqKdt/O9rAd9nc02jRZ6Ri9tsjvlrG9+zcwzoOSVgHf53fWYXWHKUCwj+AdfrafxkPZPy+z3GAXn4Offq1fBuPGNiH9wyhRyN216yUoXJxLsyMjfclLaiv6XP/0UbJF95wVJkeh7Kzjd/0ybG/2fv+Xo/SqQdygL1tZaFCx+3zynTuQez/qxUpdJJVm8xqFz9ZLzW8G1SYnis7v5Je3tk0C8Ddd3Men48yA9wxZyao6tXCgnSX9+2zsELAoiSTjo0o4BnupcVLvZjZXzzUL58l04M3Aff7kdbexwzRs/G0GXYr1blbMZPHVWru9vLy7+M8oe+WrRfg43e6oXfg4aPBPhKqOzV9CsXN1I0I4xcAO5sUZlb0uH+ds30BXuEzZ4+CqQ/ILx+VJg7jBxue7d3gejrmNuyhn2ZQBfANqSJ2PQf8Ik29aExGFuljZZGchusjoxLiHZt6hg8VYjPPZhPh5z+fCsiLngiSlbifDxxjc154Yj3pzxR9pFvi5Rz0uj7sZCzv5zK0QTPn2P77kOywo6LdNQP/OMPT1wyXKbo4LQ8dGdmaceM1eHBSoX5etfoqBt0bQypi/DuL9u+5m9htmD5FnIgWUlZKuQ1asm+dzswe7mqIe2lGP9KEn0OdkCHZZSF7pmINxKiNF1mUWgfgbn+fBeArDpLwpSuBE4tchDsRdJHS/lfDbt7JJbYMyEcF3wM4/NvJ7p7A5MpqPGxE7Fw2cYynT+DL6R1kxXc1dZXa8Ai8swStG6eOfVXP2xOX+TUduu11/5Vu/FuNhl+TGFNsqcD4T+Ye7dOt7fVPZXVeJviODHtLieUGGu0qB1sLUwcGmI4n+VO7bD2j9go4Am88vAqEI3i2iA3JDwb+868XBhmfUgm5+3MVASoahN5pkJyw4JO0vEBw5APiLWIiGdbAn01Pa5TUNDI9kJ+bGFYC+qZMg+Rmzh7TqJMtTwLqgGabBq+Bp39hVD7uIG8g2Ik8M3Nqc2pqZ5mVRkQUm//LPSGGC8hfuOKtTYd90ISGYwBX5rMHGuJpPGJB6wbAebyWSU2RzCrAyKr0Y+kcrH/cxuaemtjurPWuHm870LeOApxrtvaaiZ2dBXIQQ3ckI/AolHu5PlwL7sdEY0nC+dqUePd73+DKJw+kb7p2043dRemv8NxHwNiXNj8Az/xq0fzObWU8xtYsJn0zJT9EdGaWrV2E5AJ6TTBHczPPrZoOTxomHQ1UVpfAH+jBlTHk9Z49YLV3WSSPv7P+IpkBJkoOoPC/zwpPW+oBz6QUJR2z+VcG8YGp/GYj+sBUDzlbfOBVmGl0bXueKVASvEyOVQmUqpwXXnbrr9d9CRm6/7wWodTy68+alvNDbRz4wb96tlvqzD+gH019Uy5dFZ6DwW5CpCFWP0jQ/VAmQdehqo7k4Ww8tyhBwBVCWiY/9WA/GxuJNuALhy2HNbmLIXzCv+dNuFAK/DAf9q8enzVFGjiiziWSJQtRlw7oBNiLW2H4xe4J2ohWA+mwkHnt6m/ONTwPPkD+YTnTNzMrEQ/7X0+7oyu/0xLWPUA0HQ6rHG2ID/Tygz1RXe0IxENOidc4OM3CfDU4y8U+A9zM8olPfEguLeyzGvKY5CQhIjRzkvtiAs6w4Ri0EGDJ8IT9dgLGEuej992O2EkZsYBbvjiALa1OAncQxHDQaNUiWurz1x63MS/NvEh4nwflwN4Ylh64BFXi4hYhv58ZvhAXJedofqaDojRCqZmz1zj20trdIS2TXTMRDRr4FfM7BtwAU45YDBjKdFjZXHKhQ277PQYNJbduwBt6Ypd3NbD2gqMA9mqRWws/85nmY5cUAzkRoUkL63myVlJHOqEbv4oAeIhlv85SHjLghyJcOjwmCRsPV2M6B98zghyKiOYfTGircVav2HhaTYDnBqO0fi9sYEHUP5wnguuJAMbsERZ7IUNT66psFu4rzKpnM6yvWS09DxfQjztb8vSq3Jm11pwUo901ts5TsVzpqF0WQQ4DPl+HiuCpy8ig4fO4C7xXK5og4HqOdOYdcNgnF7lzfO4XxvZZBbokDYZXTUUHe/wKP+cLOIIHOZw14tPC0f7afO3vLeRQZWqYysQ9fy2a9Amq47kEnLFba28LrWQm5FMElQccZUwd3qmpg1jRu7bYD2nI32Twr275q3bYKtj6cdwOLvBDm/T+rQ7yJ/Cy0vRJAm8pOXDIrEzMvfkzhxx5dGZzr1Tw0n8TpcZ5CZjvdD+wplPFbmsKyo1vyUcmSEEd/vL7Gpq+e0Jk2rXDIzzsDJZeAXMnxed30DUhdngF+7w2Pu7U8NbQO8GeHBTiW8vVW+oaTqcx8KW7tPJ7Ya035oS7ouy81j5cW5e/cmWSA+Y0rtbMTdws0rOcCHDXw7NwE8ALbe4UkjQyM6A8o5WJ8eACRjHV/NPLaA77hA+vmluyddU56qhg81LHEDfDYs4mXzFP+Aac0rE7Eu3TIoSYELbxCLiSKXnw4bZSV14yYc6m7ZVpfAJO9YC8cgM+aRUo4czWP0WPIuBTT+BhC+haTDdiC9M76Kx9g5KXhjX1NzkplqkdSX2ypW3WDwPucpG6RnPXfRJWHE1ntoAEwbuGYXhP++Ucoxvj6plaq320kkXx7sv0vlAXOL+zlETPTzrMY7p9vuKwxPa8CYE1Bfw4M/u7MPPMJwT48TB1EZpF0k6d8JmOJAROcDV9v6fnzQYe+Ha0vKL57Q1OcM68I+TVhDBYF+7PalxFoS/byfnnm/rr+XiyvFIhMxFbu9I1M3P3HfCYO0WqNPGLHXJPIfdJ4WnJVsbcjmG324DLG5+5BDDbaQI/MT36ylr7ItpHzJbv7a+HaPLKXynd/FFpmUDs3SBvVzT2fRp1lqkj5eX83tgKn0PQXY6Ed8LN/Vqi4ImM1zKL5997QeMHVpk576H1wDrRbY8+FJKmz+B2FupfT7HxiJYcNANTTzmZ/WGTIka0Bj1TlDglMc9Ae/dnRN6BR1E2YB/3ZDyL9UkG/gDEi87FHjgvMv1Dh/OYA//DURvPtkAJPFv+8gr26CCNp/hXC3zH1M4Qi0A8YfLrqbX9Nb7bC2gLztCnJ3r8BD5/xw57NvHBOdp/HSnWB3MR51P3I4x32XB7nCwdZmyBvQl7KX7FoelBUKR2UJQzFR9tQtqyKxiT3zy8eDL0RsZIAJz9moL+OXOEa+Di6bAHhT2jtE+iii1DFq4HVcpvxfZPgXwJ/A7yrJ1UoAhpr//HbW52FpJQAGZitvfP48VuLGynkUEZ9A4YtztZtpDWWqUsvVaufMt4lxdjMjCk3orB/gbNNWGEchnJm+rRvaV/r4R3No4+74rN1zT8d8dxMphzRl1VID3SEL8x9ulw0DW1oeyh1rWzZKDLE+ObxLVeKg6xx4C7cHMA1t7JOFvAW+lxSy6QGzocEKsV/MkGZWUBB27+jx92oF+3tPjjQt42NY530KwQ+8mWf5keVUR4iWUbJoBjf++8WI5GL9Sh/pbicifxfCQTeoAWjJTjCZD4Dg/turEOD+A6Lo/WkgH3/MejWOdyVwf1gA6tq+/5RiCv7+618IZmXHeQQ3w1qgF//fGKXo7nYbWp61et8e1h+146Ky+Qf6FWkhXs8sQ8OeWDh3ikKjHuacb163wjErTLAKOBF0ps5uhkEYnPNHRZAThE0Xq0zT2a/S4jwFbgOsUEuSfWP7mrUgw6CPhoyEYPdPpCiuhhpS7JWAj6p1dv1YC6M/vn0/6NbTO7D/vnqLUIcJsWSTNf2GsQX8mI0ybcW3z0IhlKr3bWC2eAoWZmoOjuoB0cWeKxKP1K6XBtAt41G+xSDTRiTKq2TM094OtO6nS0mMdj0GThn7vomXcuUVk4BgNICD/DT+PKOVqt8X9/ctAjTYAiPsLvxHpRAts8UBHgbt4M+0Mz6WMRem+VO5vZPm+VSEzv5uvsC9cD3wEmhsBp/jcfYB3VuNtayNOS/zXzDgsz46myFIX1A9w+bKYPysyMbKI/O4gLRlxSNLa/CLF/sBI4aFk95DT32NoPwIBe/lFe1Q/Ob50y6n7ayT9yKk29XsU2WG80fwFWe8BVvs6R5lnQeWYO6nGTPxipHjjkRXHVNZZMT1sXczvJjy660pBfz2jwcpugo528/AGCJs4dYtnw3fkC63vhmw98L4dYS3dtjI6VRqSwZmHqChpbiiYiVYaIC7z0DeLjCzAC/jzxG5bsmGV8FOYIeMg1i7pHM+DiaD1e3CZot+4gAv+aW/NI7ERDzkdq68JzmNR8k7LVxltyvtFxBp04b5UVPvJhtYpwzdtBRsB9Lunzz45vzMzSruEdaDXKN2Z/3nGcZHRDr5km3xA7uwo4SW3pXH0tKY/srUUQgXEynDaZVhRWt/901Nd+aM0cLK5G49cFeC1a8QCNN+fnPrUYu2y09A+E6kLGKqnE7LQaRaz817u0yOfCMj4noJVnwCvQj8opHHSQscHYOSi2v9eK4VvrdpixA7CtwS5K0PF6fpxc7QOWB2ryN/51A565LoCOH8Sd9fl9kZCDulzIl152M9Zu8PxJW/KTCOSNO/sodchQmbzihrtzgCzeq0WNiLcW6H0NvN78Mv2uzyUsbEQw807MkVEb6UW5PjN+sMXgxfUIet5Gr7Ovu7Sxb/oCsOV9KIjXwpU30BCnNEBpIWQEe5fwGA0QI6PxJ2yoOads3dYh70KsjE7aNyWccggfGZo/YL3fmfN4KPdgAbIBbqMXbrybuxEmUos7NqYhqCuKNoxm/yxAR0beDTjaDBq8B374wRB+iFLi82B7KZqB78+6mf46DZtnwfXHyTHumx3mIfFxuI+kS0ALHl48ym4neNb/ZpIAr1b2WSw8d9RUh+ulZu2u+tr3wH2BQ/y+s7gRCvLqsDVssCBvAdd97FiEBBc74xu3Ge/G3MVY2ckdR/hDDv9mm1aml0yiygbNXgH2AGasNx7/3R2BO+PR1A54k7L1KAS75zzZqYnEShxAO9iRmrRFUOcfNx/yOKnrAP/6TGMUbrVLgtSaH83/3ad8CfbnUWj+Uw18UwghapMdZGa7tisL9JBVW9W1sTQqeBcVXJna4ffCRaHxfqVG4zqmL43gX78OU5MYAscfMUsdKZmZtTq+5krfdqpUKzH9jRZoTOB8yubAkfNrbWr2Q28GXshS1IUkIEcaJ6dq6nyMuie8z4lY+wdoVcHsZKU6+aHFH+vk2Ke2VJssWw948JWyf+eiDmQSULTYbXRuY2eB/EFAdCSgefbf53Eeqx71TRmuJxdh0JFlgQY7Bc5TROuciuSjCLsZcuN//bCuzin3NbxrpwgPXgVrWbDldY5tK/Q7H/uhxv0H8OMV4iMSouPcuv3WFaZTeq1d+d0OSYQpcls2x82mo9/6bLazm14FdAR+PEjaWPu4GhaLOhr2H//KS8LIGL5yCjNzjosRA7fTD9b7nPRkOPfyh03JETAUci+pQePxxnnslGZOale7dPOHArZIywEDkH+sLftW27+za3/7yQTzAOf8gLv+B+ztV+0BBSVGG9Z1xPUfqehmVs6ByYzwRnvKvI5G6j3jSjagdTNKvtu+egrgV5zB3hr2MXDbHxIljzNLvkGHF+dxEY3R0YO1iWj12+jffKKKg/aTsB/5uBZ8WB5s0KDztA3Ye223ZEk14K3xOYY8WpXdIEtS5oDGBej8ItI79n7bVaPprya28WmW48Wipu63lDUHDqHG9NUXsEmKf1rmGY8Lq43274zhDAs7KyC+ql49qJPbbc9dM7O44l2VbmYWx+AdHcujjsdSZmoCk8nUJIu4tSrL7oGfk7yUPYuSDjjdS8OmBEkKeQhEl5kliUiGtJm3fSNcX0mobqBBWT7at2qEfMPwg/Q6UgyyfEmKAnBPukl6pqbHPImyEJ2YreBlqVPFzBz4VcL7Kv9xUXF7cJQEzAV9FZn5oD68Df5NELo1rg8MZx/BHvXgsykB7DZz5GoL1s8eri373LUM+Fnw9w7P88OLfQd7bM21LoCPuA3qcGEnr/qou3rfL2koA0AU0N75drSWiPShLR18yG1UnTaVqr57wju9ngDdpfFQd2VOEHMxm0sxLGM6/LmfA/xlYqd5/3PPeOU1velXITkzXTz/q6kAbQaxOzuAXzHkB5tNrZuVnw7o5icT8oHH1IN30QM2f7QW/uYCfadITYBF9/880iyLiNUumJLAPW85029UJAPlv/0QNXG76N9dAPAPybrZnBHlG+w1KkM8zV+gJ4jUXX+ykqE2PaiWHTAH1tf4Zgo98Z7k7XP5nZlRTGRIeWuz2JwZ8Gcb2TfgOe88+gP6zH7dtdnY5QcZ3sx8NsMTPDJAvhyWjY67tdXkG/TkNRcd6EfjBb6DPK4sHvC5YPqLgDaSLg9ayJOiT3rIALQdZ8F08uSDBL2RmBl5r7rlNxF+mnlb5f/ODDY6qb6Z+MCG3+dyj/DsxoMA+JLxUDM+0vH/+m48RZMvbu3M/vOAYz7xc88hN9rk/XZP+0/P9Lrn/b8zh39nx2eIxXoLnXqcP4DnWEKrkoxrzW1ZARYx3KP/eb9ZG+S0mcSoq10f1ppTgaoV9tdvPXYR+IcikMZ/Nml++1vJaw7CoSjh/VrymTrJ3FAzi2qdzBxUOpm6VkyaGBEqOsBWztPRdhsXeXUgeUG7o7LUm4hNn4K9ih4NXP/HVeHZCPw6KQRaXJAXZ1sZYF0bLVc8egJrkoup+4DnW5rgL/zMBJDAOxVmZtSoQHFVV8JMzTI+pXaXAN4i43mYW3opNnTnpSL5lFiUm6mNZhZ1FzfTv1p9XVucAMez2bB/z7fEykT6O9OlKfY0nwhllOcNk4Uaug8uDtvJUXHR/3WqjWRN5P0cbfX4rSkCjk4d/ANc0ZU6fMphX9eiG1jgo9c5wMnGI3DID+48bDlcbBHOT9BqHgdeqkIvp8X+G49Iyx5W7v2PxZ7LjpSyOAc6LZz5erKsx79ztt9zbwR42tWw3wjEJquYPbxqD0jEMfCMyMwGyS1+gVyUkBG9c6H8Nug4Cfg7DpcsCz8dEXRrvgGwMjPjxs6aEWeUPbw21rt86iblGPyHX1O6NoztZNyVbYmGF9/gcWcDlzhJh4ym7us8JnU1zHVlrdfK5cBL9+O55zkLq9+7nSbSD3hfaVXyEAdAY3WX5XqwgBcfWojW2trvuGif5H3/DXx+TCf+8nb2Id44aOyCsuTeWHg+iySTpS/gnVjVVK2UqSdEIOxtrFNrOf5vtvC9MjPcmFdI2w8pI+90vBmfpYIHchQ9vuDIfk8D2LFD8vY6S0kDshSjlqDX7qrEwEfbq+rRx2/fc5ms2HjnjAvkQuuejvKSD0ln5qQbD7Xz+MfJOfLrkdc16CXjTdyMyaFyDtbZ1DRNM3A09MLee+uGdvVcBhzIjtvdRxF5XjFYayOA20w8hf/rGK8SZuaUceAlMTYzlYkcrCffiKN4UlTFAnG3OpWFSQ25gVhzVAkVgxb4gjz08iWOzXlv3rdOEXSXlKOqHZVWoDNAO56aUC8V4xnoiysfvYuK+JVq8mycROSQHwsHcp8zPGi07GqxM/5L7wWfLypUrAjIygC3Cei4V65sB49VHLvY6UxdBCab/5UG/qOO7G8hNJUuSnLIf2aWXRvl14xJjzDNjm64Ap8/stJH9ab7CuKusYCDO/sYdNN8tElcbX531rj7h70DCo7OHrRAbmWBclh88dg75D+nup/MHBRz98axPj2XiNLPK+SlSgopcue20Zi4wDfegf/axqeYR6ktgEtIylwydT1n3u4s7Ncdx1JM/AsHWgj0+YScpIuxG4+WFlLrw1n7ErufHjDmd/b8c8+tPeDY710pAY36e6fIndkuNHJN7AF/WiFUGB9nh4nDw9zd8RDdXnm5GjQuRml865Oi2D8V6B0xrJMslnc8Mvtohc+mnOHnIE+aGYYR6s9adRLNKx32Duv5Rz3x3HRw4TG8ppDnmQO5OVZP4AC8FevrDLbD1mwpisuTtR6BH145lT+VTby8BxTpE/jO8icLZ5Fz3RUW92WoEaxvQof22SB9Ir91juSnHT/vckBLA4Q+tdFPMxpXAWyzzX9xbNjHc0XZ/odGHfBx0JFulzTlxQZGiFvgGqCvPpoRNH7sc8inS9EnA+w9yBm8U1qWaiRh9r6/ZoHxPbi4dArXmh62aiLfhPoZBWh/xQYth3uGPjfQekfjDwoayFJcutRaNH/uUW0tHJtzmx795z0V/HrngHZAUT7cXODbPS4/d4qtXlb88SpX17Ts3JMjH8AfHmnAd//0F0+OZ+NzzLRHhXkuttVfoP9CYvx5v1ivtRj3DDj6lW/MBd5qvG2NxvhOhz3iNjN3QhL0PiVBkqQxr4GfEsBv01+FakpePrdMDvjraLXGS8CD99+nQ/d93FK3ndQV1hYRZx3bHnRRzznkuUfBHpYo8XJmKzoPq1sPydaGKiaWN3FLzRwZjyFSGF2gXMVbS7+4qAu67GJyhLQSUlDs05Gw3Jz9OKqonDVqxs8rY0mQlwcPtCfoexUoS/ag1a4KOJTxovjPd9qnFHLrOQBOLHTKYwly7fN+stDr3kFLts9or2fgdW+y+HOlJbuzcVmowKDb2nvGEK0FIpyq9zbcX4Gro0Lnj9ZpN+6aOc+gvyjO+Pv+o0Dd2L4vpubpfi41z4rlWsPPfOmUYus8PjKvidBKjAsP1fTfucx//oWmr+pHhMbvEY11DBuolxVh3kfBkMPdTpjeIcCOAHPje4SvrOR+PaDpaPMZMPZVf+jXxUJT2AnncHCaYABUIm4RAScC3XzcKhee2eEIV82UP9twfdYuBj2uvvD299po1AFPwMAZKR0/rXRKWDGFVzZiTIeVCViPI6ik12fxjV/bkd/wuB+Ak63H7e+ausBdbRRiMV/bgYMumv/nq4pujBKSOnqlvT8ra92y/2Y6Wb9z06zkUXF+E6M9NKOpLZ3vfPpXS5xgra6w2qDT8JfpYTS8lrskPTp/nN+5JcViPABdyDGRRF2E0XyRg43SeP46bvkzAyz9n1a/FsLzidM+GtF9UT3/UIjnk/vPq+qjoOoN627Niv2mfvvc8QwrA6o+v6Z9uqV6Xiuxf/zuQTNz5LmYGeeADYOLrRyIFs+MF7iY/A8aeTZo0a3d0DN1CRMhGs0Z8Ks+Smr8TS3bg+9yTWN1oWx4KIt0hVimasBv8N0kibWdhXZEnb1LeGXT+K/b9CSFtaoKhx8hT4AyQztRyh3suZKJBPKUujObbzVXr8+q4XmWiuIF3nspRXLL+Qw61Df3e3Nj6aQQKjxZHAlK/KOVPiia/Zp5gWIoIPbhUVtJQpykBs7Cz6ZW3dVIcPRex3Jn7uyks3/1FJOWIZIPfCXFzcoQ6BtrRtIFhlES0lidJ8LqKsPZ/a3vZaRQbnI/mzkYVhfxElf1JD8AL9/o1rr/1WarSk3yvR66A2T7HeT7152UC7hywdanY+6eqdjXwN/f2j5ZCkGqo4PrlO1pNSV57oIm/NpfyDZ4oFlAd+Lv5utm//awuYqR0SvM/V5DfeM/YM6n1l/fOoT+jwMIHhIuR8raZz7Msyh1RZBeeEk+ePD3ebRsZPy4pCWDgvoXQMUHENCj4MT40L2LIH/UaE7hO/TGl7RlxpvTD0BPjarUDv/av+ptgsIFdjvyEDjegE0HU6lv8E62o5sYH8hbPWEGGo1ytpZmJjHksZvpI6iGhapNfcN7+fn/qHrX5UZ5pW34lNiY1PjnEBAYGxGENqB/gKhgIzBxiI05+q+Ve3m+561aU6smd8Yb0X1tJHU3ZdaDi36pnTksBs/vTN3N1u5kkCzc+jc7eDb6swghoOy/a0VRRKPh1rg8yjfwXoC32O6/sZA2xAQB3X4SbLeDnA9AI7+D5+pbxAVxQR2c97HgoIbHxQMN6tALv0AO2QClrzhE4P9TtqlZcez97mVFMq0do/2XgrElzIFbW7vdzPyK/2o1e5kOyZyOyXh0mNWN7b1jqv/V/AEDDUtC5spvOugLR2wTgBMvLWqwtXV7hAfEc+dq6njhk9oPNaWmR4IEnFlAK65psWy/XhWpkW74UAPPHJ/f4PPWn276+zTzfjuE01zPYQX5UeuDV5t6jzB53U19gL50wFukuZsgWf71FIP1CJI7eLi4EHJLA5nTAeM6WkCrKTfX6p4zQBXOf7Cb+DVNH4wmwGgSATaB75yvuSUfzEkSIXqS2v/uzpl9vzMTegINuvGpv3fC+0jDnd3a+I7dfhTv+xBw98PcqW23z2c1JgPEwQ6w5w0LdYVcRWIy/cbUtRb2FWJFphG8z7Bci0HPHP68NAAJE9PD/pGP+9jM1CPgjSqB/JzLj9aWfhpC7Fn6O2eg5uwEeLG/F0LzfOsPqatMResgrXUFzTCpQZr5cl8VRxtgm65GIiE2X3FIQX9GKg6twlrfugseqksLsdeCh13fqwv/rs57TwQcyXB/6Yarc3J42YJnVQg/q0vy3nC8tu/7nxR0Mb5gu4ivNi2re/H+54bPe4ij9YXzEpf9uSuTI9u0xluScOfP/+N/f89CLYykDZg8QY6HGHhjebaRgv+uAxEkUWFzVIie5puMME/M7FUQvx4Gn6Jrsb68+TN3kgC0kTmpruqST0dzN+O3l598Y+NhlwVyrm1FauDmjvuPbvAmGoD+gddK7fYupl6K8brD4EWL0k9pCRxBe6wGQlpXgsL6V6MqKxbeSAxoZ4GWCBdUONrFA84qUBCUK7dm2swsu1OxyJzZT7Yl8JoyrIakOLq9qXkbsfHaFviTYf8tuTyQoN+4mHOprx51/vVpfzQDKjqxYMLWL4iNR0v1CDjB2uDv2lF+aWwFXJ78wM+rdjrslG00QL7R82+/jt++xkL7TnpRv/daqJUDF/8F/csrGj0c/P/fCbyn8X/nOmnoISbsW+osZq7Omv3et5FrGqGvNCJuG4DGel/8gqK4en7v6qgHTen9AN+5Rbgf+CUF71A9zYyw7vztViWRarraoPVf3twDxeqAX34DMVNhV00dcOzJ9q9dRGzsYK+yVJhP808W+O9E8AVeKxYhqYhGFsTAKtm6An6dsePl9agf4NsPXZT4ubVI8E47fmH/5sMyh/Qssre6nN9zu3/m48JUtB/5xEXB+EKG+cpsXfKBfOWl9s2dQcEAiKfez6LH1iDkd2I/As+4ddCP9B18Pjo8CEO8LcH3bf5rn20CXLsLxBnENWHx5wqr9WwFGVvQevB6GrvghQftgFapAR+rYuqP1eQ/G2FPzCIgceb3ZlAuqFGifs97bExCO89tnPDh9+7Y63z5yKkPnkIhYqGisCT4DtW3z0XW9O8qxz6nCHnc6rc6VBObyIJDG77xp6tMP1pLX9iwhE3s//BIHnkM3xVVu1TjTOnr1kx441S/1tCunL3430y7Ab9/e3WMconCR0eTLzn8WavRi1Pb1JVK8P09L5DMinHfp5Yd4vflTQmPtTE8z3L+am3+3o6IdefljTPTzxD97kW/7jqamg5w81sRrWk9oap20a6NllSKJQb/9gFa5xs0YsrG2VMXdObguTqU/GDgj25SP41L1sYBvQXZJePP33mT3eWwMidf0xG9Vc4/vTEVwWFXhNLUyu8K3svKTtb6vD/wElQS0u/GWwN+u+nIVva+17WeHxnK3fq8eJ2wewF6kvNkAr3ck7LdkVC6wK+wpo8V9OGucF99YL633ELYdJkDv5JjBjyP1E6O7EbE/NM6+1MTDjuutS81xIbtL90Q2sCJhUKpW2zJsZjgM7H2IafKrYbQAk+TivCxdkL3CvVPbH2/7sA4oNVpGvUpjYdd68K6FPsvJQZHaJJUbJ6ZMHsg+iKGfpcJT0K8+r8znwrTj1DGZo51Y606dR6PwvncEYcBx1UexFWRT9WmKH7d713NLD86/IF13E9kQODt5FYLC3x8v0utz5sQuSc1eHcXnxVtb3jK3az4NvXHLKWt1w7JVxebTiZcVw55NvFgKxeZs1zIt3zHQCO89CGm+ue0kZgE2sfM24oAbWTDNgG8l67vYv5p51PoNMNg1Y48HoEXZaxSafeaURlkrL1xFm4qTKYutF0cKbsqOa4tJAnnpzrav2oeASP7OhczBi0HfpqbHgkVxN9JIR2AbjC5eeADD6XDvXqURzmE3smy30nEC7Ov04UPy3gJgeRVTionmx4wRwc55DcR2WcFPPC6R5QG+h0wnqWX8Km25MaH7+fR5QkNEogZf0tpn+Qcp8B99yzMb7XjCfDzAp7fWo97B7QKo0IXoLcOXKiHYOzRODbvpjnOKf4i/DVzYfnORX8tWPgAHfLrGSlKLFL6pBCzR3VoiYB54EmtplQyi3h22uS5noaboMajSGlmjvEyIUqY/rBmTwFH4El3oNePlf3p5DZ67fe+McETHCsOOga8XfJFnvuvjs2o1n3aBeQmBvuHx8l7KvAX+M8vHPesHfsVfv/jaHlxN+FTxfp7ble3Ss+2CO0f0CzmbOxaubJqOHnpDZeNO0e+f5tZTDfyvn/+4sj/0RsswpKNNq0HlR1t/5ZvoQ2cE0jQ79xi5oy7JIDM1cV3Gsa8BjQq8NOqNolg7e//5ywbEaYjFi0H0HmkAI8Hr308WasPuDp3bB+wGAfw7HbABWbiOnhOHShrxnUpT5WN3/gk4bmZO3j8Dvjhccfy1O8cW86ZwBs57193e8BH9ZeWXz3OPx/mDgiZzPwvtTQh+O8o6WXsJ2nQJ+D5E0bNXGT4bKavkZDXXNhF62B6fC4xHk1P+F4C5d4pba0G/GPt+u/gP1+1S5aZL8yi/F4EmqWCrAXCY8FQWTuJpBOmbTgfiSMJcHHaIhIq8PEQdxYNU6eLcJVC3KpxWWstFzHxoXGSFPLZ6y6/M65Nv6TXOSzkbXJmJTrkpcI5Q6BVkq2xFrsdB1BSiQ/P20ov/Zm7iWjt2cyV+Goun7eTrValq3sbmTq3hIBXMXPp3utRPeuQXNMpt4+b+q1vea0hueh77qrA3IlgUfJRUP6WIv8jizxm+hflLLf4poXRUSzsvzrQuA0C/qCkTmm6teAjWj6/m9kcEj6LZOpYmFkWrsJFCLwd4/i1f1htfpAGSVWMa9WE5vxsNrNOAyLQCbjrypB/By3Xp0G4qmguSNTrmvtXGtrv1biIlHFEkZTUMprSuzMLexTpryZQPkeJ3YTk9b2uIibnLkJhN6qvlNnApbNFIsiFQR85+ty1AQJO9DMe4/lkXzfQS9vx+cfMQhvBn1RdzHds3CPpgmgZVUz5nGH7+uSgAQ0+pujf/jysZwK+FMuO6lsamnprErWXhIKO8wm7OqAvQPsebunYO9gx3pWT2gak3EjdOv29GZcN9NZXGicbaGLQ62qWETmoIdH5hczAof/qU6hGIR970wuemTtOygGtImaHMG8WUfKuNog3FG7HDT7Uc4/x+ft2dPQd1naE5ctPDk7B9xdkID9FjGzgglBx0GGgU4vJB3Xjv94LtYP0mjL0MqpKJXAuYl4K0LAtx+CR9A489y1lph/ACrrbzGIL1//Xx6A8N3esLftZieVGQuMX+0e9KVxzUgEmvM6yo4LPoI3mvhiMEki9LtZBx/C9i2WeRaqudDIWXD5T6/tWmLvjjPzIUs5Hq921I3isQXE1cZ2OeldpWIVAbSLcGWx6Fogc4bu89GHRgL4qHPJGIOZyM6/V8ZzC6UFtqySLvj1++XvPLVWZPnj1iPJ20poEvGiMt4IoYnqwcis50EClFfBaE5s6u5XWwKP55FtdpF9n2RbTn7umlJvUyG1pEqpIY4lMH5k+7Ch8Vwq8MFSODHyrKLHAF7MfTzws0v/5GHOXVb+1E19Thheu0cp0P6TW7r9zddt/3Vl6NgHewGfGJNr3RPS8FR6vo2QE/WC3jvydsUzFPOFYZ8Tc1QINc3T2dYNUf3KY0RnP/+499B5oAh80KPiaxG2HHrieA5b/u6s/4q3aKe2/cYoyxvlvz2ml/7r4Urkd6Js6JmYmKKyHOU8088DU0JXwHjG7N4Nt5juZ2ZnD0Z7TlvVbN8q1GR4em3rghdk3HviVy9RGkWR70E5eWpfoB3Qd8PT8LagfmVorVuznLkTY9HIqnIUR3ps7NIzSxMynA87hN+VoH/B0Y4yY+68JRIqdM56Af/4wNYsvv0z0wSvYWucWTgpH1YL2pJha0EyLW3PMU+AqFn473bCyJob8HTGpt/4NT5WXxj4jwIWUcbcd7Yca+5qMwD+bX0B+e5zZoDH0Kw6Bj8JHbifvGPkr6EzQiFdLRN5MQh0J3u7oiHZsMomxLKr0IxomZaNxYGa4gK7qCUvMzCgX3jMGPg4btz+CrtYs6MvT84/pef26l+Klm5lVv+cKeCJ35p+jIy9C7Nf28nkHzI7A111zPYOnmp3W6uOTO0fVNtxrlt9PrgrNnUFpIzPHQ5hzRuCeklitOYdk9cQdMfy7t3z/r6/wax/zsOUleLBxnxdjf0jjvxbwu6xBB4BP9kDXX6U7f2dgAdJSfdXDYcMxomZPH/A6LJgEjYTLOkwtIvaycEDjOI9/fVPBDzyp412ptT9I3e6qkedp+QkeCRER+xm2tCADP6UhB/1FZjmFG3N5LcfDvQsNZqCdOSNnjv04OfuPJsZXeF43UQD+jeq9G4bX/mEAHhMRlAwtJ4u0r5AxuODRzs4dm+Vjb/qgP6iDJrbJt5Zd70drnzWhBm5bdTMsC2CAqLQ5X0yeVQn6PP6811o7zXSFz9u70pavOo6NRvO7cjHEJ68Ke76044oVkg+i8dZoc0cZs3rjebth03N0qwa+O7rSAR+tIb5/e6Wb+UQchevvuYRYMS6TI+T6OYv0lQG/vt5LBNL+xe3t80mcGSkrND7TzDP8IQ6eMOhPEvKtff+zEff6hNfnv3fYYa3VRKxufKx47KkI1+9U6HMDOAMcCs9bEco+nzTOX7GRYu6fVUzwyZXg24FHRLtm0erJKHnLXXOmqLzKWr4Y+AY2DE+IE9BX+sZ1kopYcj6lOxYjk/upKGefan/LEORGAJoUfr+6yNfzSriZxaoT4ODlgw+5BTw0p5r7/LycgC9JzVFKbFN7Zu5L+E4G34qHoYMjjzCGZEGTb8aBJ877Gvz0IEfkKNBswEM+5A4v+L97lQf4zCdp8xm8w6lxVFDoJGCD5MTSzwJ0QXFBbwVVRRFC/iICfo9UtcEpxi+pWLNcrH4hIFaGJGFT+mQXEGmW5KI0Nerkq45eOmo5g/5H+SDfYW0ejJl9O3i1cna5xl8ygM8WSMDjJYTv7OFAc+km8XFLgO9Mn6lPM1fJyy+hnVEtRHCAn+G0Pf8xdShWxRZcOej8z39NEPUu/qod5RHTtzTWl9b67fmsRQR62a3uEJO3Bn3eW42/MzG/ZeH+gkPrmcWzhYdZ5P/P/YD2kZVzbWZttVFqAVe/akbORQQQufmIC41O1rcNmHYVI3ZYgO91nN5Zac6pTG9nvagBmX6NOtefNg31dxZWFkfyWVszI87V4fFw56Py1AVjyZNIxPBcIv3SNkfAIk4GDQx0uNGBmRolaurmadCPbSDPlbPejm76AL8QimH9oRGxwKd+AI4kFZPSeAvlKmL6ecJ7Sli3m7T1bPo9YYSqemIvn/LTWo8VvCXoi8Ri3H92gzeYORTg7W/5pd/U8H0TSIOqni8Unjf4Jutk4SvmPeDnHObOGoAjdqRQt5R/rsBDY23PMw73OTCvDVnx8imiRbps2bcDEWHaO5d8XDV44Scekm+qCe9KBevGj5j1dhP4y++dvRg42mW3ZmJuK9CzpcRm41IQYR9rkUgFOqIFhUit3Gbo7wujnmpYvSz2Rx5Ixlxf5K7/Icd1Sdn6ocbVPm3pznAAvfAFj+qFK+v/cMXHm3IyCvlmavqE3uQI2MT7Z0ZJSsZ5lzrz617KNze7wqUkDbwPcP+DaWJ6i4JfPljYBT/LbIOFFbbWtQt8n4/yJrlvVyXgTygdyKEcNM0HZg8LcPYds3XNqTp0Qp1yd36KC3r1gfHJhlO5fbpN7OdmDjMd2ZNOvl+A/wJ8OoCOO1DePqlAGeRVBHgvwff3raXAn/igl/CJCTUTzU/EBUs8IAR6sZJc++CdQh7/O095wwGy1dBf6wDAKvKetfP9ZJa812WSgh77IRs/1DZ6Bx3IpLOcuhI0AMUDt/sDs/bnTCymP61Vx+oOWmItQLe0pb6SYokovHVtJ/5Li/LnnwdwHnCKopT7D0Z1VAhlEZBBrW3q89SdsDlSkQJ/rG9NyHk+rKQJzd18dCUR+QEuf88ifAA9VXI+R2ncro3LJ8DTLC2vr/uHH6Bla8y8hNi/tRm0jUwdjByOW2vm3QtT/9KN1f3oVk8ZLbsulB+dnu/wDCmLIKLZ6mOmgor7Jl4KbM5VQCd0Abh8289ZqF81xeBpeHVy+iePZwZa8w2e0bkSiv9fzGnEnx3ogRlyvgSdCBrAP1KEz+Bbt98+Ylr/gKeYj89lB95VgKqqK8A88LdJ4/67D7CmTj/kOjW935xaIKHCg91o4N9yDkzNQxET8PO5V9gQc7T/rqfPGy7nCp7DVVyA2wZ+5g57NHF4A7+G1DiXPMJOF/GvmmLMXPXCXhfbaMdDtNUodDlVoHnllTvAIYADdUTepEs4c6/WyeanVqw/SuwcbPMi3cJn6x4exjscXT+mQi5mThbk21CYXqExebDo8UzDz5eeP4EvGNuSvIOGsrlbPaqpHxsmwXL3bxzNGXhM2kRSFsIL25I9sjB5aygvRLQ+zbwA8MoVDdAbeNqNW+sbpepDxeiJt3xn+tiTQL32ozwqVGL68Ch9vUtQS9ydwQfvyzraUwI6jsfVk1NS19HqV5Z6r8H/EQfFzfTXMvPiFe3TgldOFhx2GZ/NvuodO71IQ3T/7WvtrK89vQubZtPbZsDFYmJhB37f1AVseON2NdofRXx4FFZ+x7EiGc09iWTFN3LL/5s5k5t7ScCtb0e3jytb/9BxTuUgy66UH22sh4r+mzcK+b+DGFW6pj7oc46yyL5JV9agh4E74DsxM382uWImNzGaen0+AYeCT9BBY+Wriud7Y/clCa8uxPy9Y7/z0n2iEecUzxXwyGsvBbxyDFz0oGIJarEIeH53YiFSuKHNLwSZ3sYN07IokwJ4dOK2PFUD+WitfUgs3rdikV14dcATerWDBxolEb0QmV6knQn81Y7snxatbIxAY5VcIE/ZhNHBu1Qbwq3pHUx9sDHJlyoVo3Ef8tD24Fm/V4PcGjvJBZsl/AlSS8na3E+Ftcs1p6BtVj6ALo30yfS9eJ07NGj2mOj9ZjO58Bc4xg5rx+uZjUoG2rSw9nOl5xO3cN9G65sMiZ29LydcHhxqam5cBZEV7lJtGuwMBred1kEfytXxadNnM2PydX/DnNUen/u3FOX3LPABRzzGgr93fsFbW/YzBvjDLmDduGBS8gWep801g7jrrx1on5ObgDZPSPHc4/T85w54egeuPSt3vqcUYpzJV2z8xuj/PNEPveA+d8jUxaYHvJnbgC8CPLEctUfCB+CVZvAdv/GWZOK8P+SCC/W+nIEHVgk5Ac8qpLp/yGF3J2O+pvRzA/f18pV2Z+7pXnCuXHmp2efWDNJNbdwrmrti/N6JwaNHi3+bvrtM87GN50mN8tANsk+db9MDl5ozTl72Z+DcO48PLnVVngpPCHjtmiUvb16B1w5rbeZW/XHagKdmjkqGdM7Kq4e1f2tBg5r+PThcwd8QqwhAJ0y5RUJJZYzBs/xdW/fvJlhP+aQtfJE78JhuIfZzvvV9Lfjrbg/8Lt814vFsneQhY/jZONt0XI85mxeB0IIdee+4dNJQ3rpAXsx+JGcqA6y8t+xhZ4H2wGUXxbB+d5S4DOWmB4PohF29ZvO9sLfTSfZbqzDax07gmp6/4fnwN1iPWk2fOxGqk7mXIcbkCBrV3CMB/QTeC5GZAv7QMXyaej7wnpk50243Ymoi6254PFnEXNCBL71h7vmMFKm3SvtTo9GZoOu9MDrHnjnEE3Dfvk63YXeyvC/wfJ4Y+Bcz80aFbdMI28LMxeH96bc2gpsz8HzXCXlWps+Uk29ZnHz883pxZXXDH0eFaygmnYJPGbBY7qoMwQfqMg3klzK98oD/cMgsJnKbb/5BUlN/aT0ZI0UlFjOr4CKZ/lK6embREjEroUQrWoh/fUV0jXpauyE4dv9Yc/LIyzmphfLZBT8bK/HBf62mV2MK8qjhiaA2iSHm3pSVmxk1D1NrwhF6L4rlq5h4Ri7kAfFutY522nF+5Gz/2mc7YzcZxCQtyK1bHSPKh90T8kkyqweNX1m1Vh/grWLmykeBMCZh0mcB8vmkpHKHG+TEVxuuFXfIjVhLTy/SEyH6UqG85kwlLPw3RzUggf/4PUM4LxBbDDz5fKhY/1SI+Dzsz1VJLoXl3VPwt9U2eMrCJ27rXAFnwPe5c7a/0A1rCjEjhz+7ytFZsSVuVvIjd0HzCfvlYXVDh10RmJkD8thNPGTAjYALo7SSt0yovinRqaV8ZIFv+iWHKfKXtNSFMDMk/3d+bPb0jrZCzOY9cecTeJfQ4EjBD0/QPS+N7R9dZBWQDwVPLODDgpZyAayhhKX3ykokeFwPcp+JacagbtKGqyil/o45+ivf+IepfSqs/k0OeEdd0/t5cQqtRjXloM34WD33rz7tYeqCD70kduqyFTMMjLE/ZJx4FQV8KeVRlHhkLo8LRN6MvlYlSYiZFReBVyuTrb2Y3uq9S0fAO+5PoCttOXy60swbieYel+y1RzR2l4PpQ8oAcw8FTx+1TY7wXx9SY9D0/b3Q+B1ffMD8ZMk3ZjXhfj2avSKBvkXYrynCkRy4Q6dE8MF7gubgaelnENe71EZVGpOXZhs5xCoozx0b+w8pvi0zAymnwwN8NGsYsQAbChGEK/j5Cg/fTzlYG7XWi7JNv5ye0ch6KNO/wswCdmfTG/MG+jZri72Dn8toao5fsaEE+GtbicZBCfigBx9UbM5pm03q2ukD8Emj8SCgY3PwmQg4O8fDPjjZ/9uXm5CptQrN3Bts5hSCz6u4fm/K9A7aDjQbd177hyen2gA/S+AJR4B2lJFXAx7F8L5bM/kPMZq5b+wB3tjsXVtU4wcv9iyleiwQImrTuyz0QMv1t8rZgadKWFd8O/n4uz/86MbvV985c49gzZhdMp3AmvcJ4DOT52Wrhvkg35evOiQ+Ex7l4XoWNJkIVWk+oKCYVFIN2gcfZnrqIcogIjeCG37YkRL8a8m2lJG3NkQv/4W7GJ1renCxqfNwQa2y39l8N6Z9AWt5B/8/g1d/a5xFcAvx3MxQpr0G/ae7i7pXoPGlPexEkNBK/LGIk5i/b5yRsJrQjDf/8dIbR+dzJcOSgO8uKuvTJbGsqJlzOAKfM/ue8v6Ymt4yNk5q0zOLzb6p5ZU2Duhg+4VYb6CbTsXU+9w9WOmw34GKdYgALB1tUyOPX2uIdeoqyu0WsBDi+aee5vcmhlyzFG2DhFdleFPB5707fz9ElO/4aG/paL+pUC38t1emfvJLZcNz25Q9h2pMrILPpnfzWvDc7vS/uyL/w5j+jQp9AM9uegj+KPBtMvTKdNIRaLW8tmUsrX4rbGCoGBMxyBNz1qAJgXNMJ4pS7yB3zR6oqLbkYO75klLHNVVWU758yrdNXaw7QZYiHnb183ttNl7kAlwE4GAOficv+yv4L/Ans2Nqy2uW3niogD/IqMZPOxdm4k++A83myzC5AMYhLIgNPG7LESVF9G8m11ZcOGQAiBnHLrmeFxryixptBFzmq3KGfJsXNh3u3aTealdTNR1WZUPuIfSoHTMbPYmAo6PC4pdmXCd83vsEGV1oQ5wRq4uWF87P8LrXRv+1Kx66ym2ffJJXFSQMsEBLt7dyeF5sSvDRgTx1h2cj8Fsaad7Yyk/H9FZPOgNPW4HPKQDHvtmg39JAZ+Y+G8QMxeJfrTTmcep2xe9Mv7sY+xuFuOqYIp2Yk6Pt4274b34aYUlo6qWJlXiV65+6GDNY9xv4bFGVkkvdmzNsU99ltNBJaBKIYjmn5b/eRwQ40clKmcM6hswJb12o/n/M4f9hDvD8jKmpSfh8mHth4r/zrfvJ2R9OW/JVmfmWU2rW+dqd9zczFz6Lr1tzCVc+/ut9tMuCvxtzTH/DOcHAq4pjxt/3qZiuG+QKOYHez4AXAM8TM6/zZP+FjO+X1k1vmZkFKeC9GIJcUztp4WMhSEjMXKCBLNzyTJ+dl0/ZAL++WptAjn4/1SVZpLM+C9OnYQwfssQEWwvkQTKmY/8OPHcCD/KmqEIV8BW30ZNqFVejd8Mh/wFuiZnYo5zPYJjMjDT2lAF6aZtDEeBRIsWPjgRskFdZ9oFA4SNFPCDR7oajNeHgqyQnb1jLqhLzCRfwXaOdRa1+EGFyVu+g600tcQAcoFuX0mRp4vSp4uTH1Nu+/HJrZr4OkLPlAby098Es79wNoJVN/YuLgzogSeuYmuX+ZurDQHNeRWTP5IKKVJj9ZWzXI6KAFVlq4SdlOiDup10xTepQe5B3r/wqQP8xyZOgtjSq3f6YRfD/1h8PND06bWoR56WCeHPzARBj1HntqJE4+w2fF1Kf96S2kxB02b2wFpZFpGAX/6sL8DUVVydF809jPV6x4QiUO43DHu0EuRDooh416J9qBzrdzSBPQQPaOATtDvF/snPwaZj/1khS/YEvECFT8kzN3S2I5aP1udJxz9MIH8FH7My8IFOb/MLeJgrNrEBKnE9LBqGnSrAx0cE72j3NaF/XG3EK0OaMLRt8Iwqxdgd9e6Vm/7X0EaF6oNZ+YhpwdrzahZCAQ8NNsYVBfC8nu3rlcthd0JO//7krIUFPKft37kT07TFrTnGJqtrGlDkWfA5AQe7natR2xghWF/i+07A2xf6IRZKCx7mD3i3b58JAZ/DCAjUfJs+Tsxxe3iENgR8EDzDkWEUZeEJ/h8XenAHZ3JyBQYzjKYnSSH5VIjlkMXo0E7vBGpHqAqsovI1tvZYWMf2Zd0fLE8CFJfiii4jmS+XYL6/ntcPenFUvrZZmHztrwAODp/nBLPkpymo7OTO8J7Io874yxEtK5VsXyUNjnK6W33zgq7jw0vSIbqb+CXH2U+h0J9/3ibhITC7/zrI1D0ncaD8FnrcareuCrYBZ6p5BjhSXXpOwr/iF/+DS1IEDzoQLeEPkdMI7pRZIlfJzZ/KhHgljA8TGhDWnv7ULh/S3q+2/XtxFpZVH4TWwmz8gNtwWcqPRZIc5v/7ePR6wxTd1AR1v5sYOJNpbqemfb/oT6WrNBP+B37fSDdy0uas3/bXg8wS/sWa8WMn/za6CmBSAeRuD+Oi072TCq9MRLeDdviqKLPCnz3YMIZbNz8nQjeaWV/ImqMxBO4Gu6k+mR04+mnrfyksv/tpEJMXvS1rHZq6ifmmb315UEOMrrH1h7p8B7gvw0xr+9wa6LwRevgvmfUiH2Moe1tbstVElTJ9JMa5MaN/uhr1Mwz34s9QuYl3K0L6AHksLKmluKfnyy1zsAfc+bchk4z0AOwYbNG2hpv4rtbXp60fy5/6Hl/6ZWMOaG42K9K5wdV2LWRONT+wiAaOGO9UzEqUWgmIXl/4j1+kD9ParFmZhlG+NrQc2yYdEyVhHKk63apdFfdU6ZmaU/JbgkesLMvMxD03JrXZ83E5u8iVHCav6Z6suw507Zl6JftSAy2oMvVaQtAnJAQfJ6w5nDE/9CRyeMAvEX6CybvJX5ubgFz/N/ubh6CagPZK8KiFOtNYnx/T0ngm3HnfBtZtF/HK05yk1PBBdbdCkvGBLwKJhy10VdYF69RXBqbVYosw34Ipv4pi5jchut9Y1cyjAh7zRYaU4zp+N7gM+ITPjbpThzvj1KdckLsy823BOOwar6fS6sgADIW/YxnvT95pP+LWXUoFWsZRLlm70zLmb1VprXo88M33TwF/d2ObjlquSDsNTTfNXNywfcthvzVY91OQ/CUrvQsxlN64Z4LLXRvKHBcmVsvyOka/bcf53v5cPSwh8+kNMj/tN+sUl92iEl4J5PyKUVsX4WxvnDmjduACfDfENmmvYwEuaGY0eoUkG3tTlAQLuY+Cu5A/Vpj/RH7vhc1xt+ON1dgP+r2+pPnNbLilgEfj2UG4kN/X0Ge9Z+tu7hzjVBQ2NngGPpC5A84MuO0Ec3iHHjxD36cmycXXp53qQSzuRQzMAOjiQ+zZ68bJPB0S62J/pBX2D33+2pRxM5XHqSlNXSSF/YzYudfq+d7qA//D478ocO6v14LZB6mIKGjdcZ9BYN6n/OlmsYxKAd5zmHYY4wBt/1baPIkg9PPGvlvprEZnzp/YpQ3Vt2dwDriNzXk04cnOGTr/18VHvtlv1lOV1Vw2fEPsK5wK8mPP9PFp6OMEfKeyCM01r8XnL3b8vbZN0w3wxvbjbC48zpN8houFzHRzK/a96SMrcDu/phmTjVk8W6wV0/u1k5XZlebv6krggKw4Vzdci7ClwSFFTtGu23ALP93s/SiL/5R127fC4Ycu6g7c/GozKRAiYpgGrVYYnqak+2MUE8rz0Q/pcjnVEBuzkN4xAP4EOluFaNJs/gKcFDJs/BFUF+PRAOcvWRMsdfOy/PrdmD6SiMmk3nLFR9sr246Prj/X4fVdR/qCOhnUDTt5QlrPQk2bu8zSfUsFsM6+1Gb6fheuzbrTHhhJQd2hV7/s7YLpm4fKklvU6azNTn78yjr169BJp8wxb8tZuqm/d2cPRPHDBK3M3gunKEeJza6MrcJjMwMc6fPR+mJBvoHFj0P9bbfs01WbWhIK4+ARPuL/I4FXvsBxYZPr+mB62ssKbumZc79iEZRdrp+HYYsVSpaP8UBG28EDyDqFnYc85HYiXCpXn1s6uXV+zET9wDFp2WCj4gGdtev9oBdjV/+uZhkGHFeAlyZj0jPUyo6nbRD3DsfKPFq5pOYsuDh3wHJapk2U29rIY3nO0H1l0eBzdOQNsXkE/WBS0C0Xot+8F6Jivwhl+Oet/78VM77aKmbmlye9dNu76VqWlYCi3jltyzgrTwy20FCMEvFH/uw/nkBWPpFeXCmJeijQmgIezBzH3A1zUA1Zk3YiJtJHZq3jd30jzyf/CZoZYiFAWJj4zzZ9cbIZSWt3ELdCjugk0AcecY9AdJ5fZEvILtHqZCdCOUQ9aN99Jis6/5+R2DjnR3yT6u4HPe6qS//Mp2PKY2vqcRBw0p4xSu791oAMrtj934arBT4lWYJFG37tKeLmg6ENMM+mix5ZGdtwIU++OBjIADoymZzYpWfQwveVwbpEFC/TSNsC1vayRHriLe1OfTSw7rTgn9H3xFHydLEgQNTrJHiwMawqKucDmmTqfdx711+59v55s/6cbuSO1BkzE3tEBTCtJiW3wSeLxei/ZlX+tlCffxWW4iUnHSvSPVCR9HSjggz8OxBvk5T4B//PVif13Sofb0TaMzG7Aw2MX2dsRdPhpI++n51JlaLBEPFiw5l+82Gdt+a+HyRPESdlNcmUBQjS63jjkUlbsr6kzf1GH3VPRbo31/eSs9+glOVQuop0GrQp4SKJ8x+KrpdBfpzPjigbsQR73/KITjuRSl6AH3/evs9EvtqGUsnVHRfID/PGeX/SZTnxstZI19y2Jhht4N4FLHncoXUGv52lUPcChbG2Q5I0jV9OfM42Rc7RQeXQgCpFesjKR6UVVjbW8Zjw5GcO+COcSNJrH9XzLAv0hAlWBTrtgqy+Bz8zp0K7hoDUv5MhLAriqxhr8E7Zs0OXVM7f2foHAaJefTiP00fRYKRB5bzfTW+a197VcJCxdE8g3yK2QUr3yCVTUxJ/Z+1KBdgctgzYaPW6gcTLgtXNXcsFc/JM6smgi0CilWlKI/WoKXVMbA7/n4ghjPOKP3ELXxuEvn7JKMyttlKup8YPXchQLrRq0VAV8b+5/A59TWJ8TcPOzGuwen8EvjQs+WShkHDlZpHzw+rgT9qWLr6uKfQb6CT6f/cDWvsClfNX5OinEUlFqXA/7HxbZZh98UOD9AGfMvYmkDtvVzCdrnN+YBG4FzpkSwNZ0E+yPm7HFFlFipwKNVKuFj/rZxORItt5rN86qjX//45SyutWlXzOI6YzyidM+Scs5LuxEdkJzDh4QYiST4Dta3XuCDlt13h9Bm15bO/dytubyDLwy7BFoyAXyjbGofxbjAfjEjopSvnpHgO+0P8jQlzJWPxVPPYH8kxjIqZ16W178PN8+gUdNr9vk0l2qXWNZj6wk58KS3zScv09OwiX4fdCBvYoS2drmvgnJixjbDXB1xvYvPIxrwFtskZ806E+UzbqOdS2H8NaAv25RsjOY1cQS9MNySymKFQV25b7xgmtaatNT7LvVHNdT8iGjgy2nzxUP66MNgQnDg1VdXnPNFiytwarHNTLzyIgmoHN7iYd0y6gCTFue6qJm+v7Hzu3WFVP6YNsAWu5wa0ekIQaYCnRvnlE3Am7b+iypzlsBPKT76rT17+CdX/sbqBPkA2u/EujTk7oHrGlX0LZnavZfhrWvSvlNdLVrDT5clNNs6FZtqD86B9NDqwRtemuQH2fv+5g6e1JtytTHXDqeWpyljgiX1/35WkZJL0o/AI1Clblv6sI6jDsbsCIXsd644/3IEq+gI8pW9JjSAdTt1YL4foLuzAvbj0Cz+Tn4e6bBx43DBr4Lnp3ktWVmEcpXH84H8CzwqeW28fxIy76qzPkOrKbSPWA/YLWTPiifIxbI8xHyprBwVCNUwfP8aobKSq3P1fRVbEsz04CYM4seuLNXqPVMLbyZo/LysHUU/pc/rjxD/pszLgvy+LtFoNps0NnhYU3t5FIJeQaemgqBC9CloXTsksUzeETQ1a5kuZmxI/6AzoVgC5IeMPjMgtb0NH755TsOPm/wOcpWyzdO5QdwwKMV6LsWGJNosED/zq09X/HITF+NDxLpu7Q1ykdS8Qtaq2EP/y7cAH90O+UO15UrgKfBIwYV897SEr366bF0TB/qfSkyMUOuIvAp+mJmXQjWWmlA5trmJ9AWV4jpawHeGbiGF1by3V3QOytn2jroxgabgBf4bkN5YC6pRcBcNciLZKnXTf0r5quaSvA+qdOMSVjBv1SDunYCbycrARTmNp/6DznaE8Q/l5F0FO0fDf2E7+5damcfA4/6HdtzwOoe9Mb70fYPR3OL6PnHIXHvmKZqL08kOe/NXT7Iy/XooKl2Dve25B+Ftb/zAYFeVPnR7qN89HRhD6ZW44Ob/dMI2+Cvz03k7QgClhbhs3HJWwp5erIh30GXN2zvyWL/qneIaOy7WHDcbv2mINYVvz6ymBegGZnZOy829cQj+I+tn+UFPQAL4fnwp3ouP3zycxrztXESc8f+W4kr6CvltZPemkvq8dj01lKvs7YVbwcTm/fj1j9Ad12ODvkodJIW5z34I7lrJ2QTLd/ZBpqZtzfItTfJ2A3w5Qtr9UxdteTgQaVLKHyPI2ikk4zYHQP+s9E7MYRfXm9L0awVSz5Sy9zL0aaOW/Pzck0ZaKShp62b3LJoj+pYlUr71slZr6Axn0WsRylQijUGrZsQiPUbt0gimK5FpCeIsy9szidCcvl3j8giH+3GLDUddsVF/WQBroVQYKbwj5lDy7T2zUyVvMTvwLdJarfAoaRipsfEJDfgTktEJMw3lYDfPNYiXak72/V5GZuAs/8zM6g3syx5mQwKdB12OE3hufLz92b66/z2R0az2WcbKwreTf/2xPgmKAEPgj4UrCEb95JY8v3kVC7E1oJLXP3uf/F214GuU9P89opD5YAP1wQ1NLyZsy9lhbt6QOa7vGdsDZSL09+ekhCP9WjvBLwWxP4bfMca8u/C2Vy14/pmeowx5/uhhPUAGfFfPwhNwGP6rzPfjJsZdQPEeEiW5vznDt+vb20Ff0+myuq/uVC3JrQfxaX3AON2mcGYDXi09K+y1AvEvAd8oHmpTQ22wQJydJIDaJA3WNOCley1V/kD3sySo7dL40+bTH3QXvBXreeovfRWa4Mui0P7aPMzcBPkKY7y54JbeEYYcZu4fy3QJIyaWXuWBN7f78y9mC4yZww8l4Ic0u3fnUAH1uGRPveaTwPE0eJIKsMilrOAda0mf2AxukoBrpfjlW++6QU4Qz6KJk76rsQ9cVbDFfDz77VFc8kH5jQ6tRQHZQYarOXyNUudtkKyDn2uoDW/RAyrZ9noZPEU+DVutmHrSogHZ3erHHwmcWL6R4OPfjgpQwm7SKuZJKelz9OhP4KPLMzea+X82Sj4KPC8v32j//denDlJnsXgcQbLoZqfWt6buYBje2GbmV0C/9ZpUXpvYw0Yy7c05pm69BfwrLK7JGGKNG/E4dZs6b0bdlvGU3MGpkGH3039toyH1/48P5ou0g5yCGBo+r4PO5FUEh1uFZdvzabz3ElsPBFNt9zpytBJQRXxQVrcCe+g2SvIP4iT64ZdUy7056GGncvF/giYuyk3ecLvv+6z3YpYxfWAn9XIvTbox9TZgfbRAvTpT33hYU6TKx70s6Y+zrdkK4J0VRaf6hEBbyRRo/tETC189yto7H4jfPAk8AB3rw6hFWC6/9KiuUQ9aFbrAesrwCu44Bl2gGsO4BnuxmUELRy1AzZ3Ub4bU3sokvcCfg84h0AOTrlNIqOJARs9FoWP/KJEHcu+ENxqHZxVDv83s1Xwyq714NBNbqavajf5b1js30wvZXPnNRPcqWhi+n1YTYxFs6kv4MqVTuiZXnQFOg7WhKSylJW6hFsBMADcGtQo9FqKenC/r9j4qMc9Nz3SsJnNgsgXD/ghZ3YIGMzYJgE/iAtclnYxf5fg02Q4gy+GPL34WW4jR2n8TQPg6cjMJtQf4Buf9fjnSS9Sg65YsftvP8oWZWJqd3/xpmCyqsbeZQJ/A/fffvcgxH6pt+ShxsMKvvSMz6ZflOk3AloLqTOoih234TlZicXMXZEIdBk6bMWWrNLcCxledx2X8mR6yVy4mW2fN6MXdMJzGie3T5s5CyXnjCY924gry8Rml/BZROtOBahvL/49Z/0PYXN/hO+NdXJvKfmq4/mH8f4b9KpXwzoDhr/0/MApcOpFcc68NC/2H8DDX6DV7ZPb3tIw3QnRs2rAV+W0gCuyrgZ1L0CndkIKGhGiGHD5JHdk8/uaJ7wbVZ1SQDCBeTp+Ancsr+e1O7mmtoOvXbHQBiK+u2DwJQebloYb/5q7hA/4/a26kNrUFWXCI4KqpQ3wAWL1qwslZiK9Y9rn1FFFupl6PqN2+YVsB0sE/quGzlH2dTU/kw6JUt4/FejpIvpzayd+Bu7awBds1DLOXOuC8weN1uev57T9d8z7LB/3Fo998Fl+3A6kl5fKKZzc42bmBiWcB8nllV8VIz0HTwmf+S2dZI0nnzfvSwn6F3zicDM1qSnNd9hKKq71uT3vv/E4j1nYP5jL0dGdw8pOdk2crs1o9oxWltLKlsHfhyrlQyHy6nP7bOHnGPCIBH8hF72xcNmDXFDUwXrKCJVp+R+nt+PiSfQX/PQa1ZSYHgJP0LaAWaguAI8zLp/t+3LqKHJS8KFtOTgqJjy99C89P6cuCrm5W1+CNo4gziN57CAPGqp8zKu1pn1FreQg+TyngElS81iGi9tE+sRRCvypAh7hO3BfxAD/jqApAKuupJyPoMHMDMKXFhVtkFjwfgOP0u34XDLgTQz6tSo2njccf6fvwDuOfJgYAW0Gj2wu26gHfOd5apFUCVl1owX50N7BQw+MgpejgJvxjOowEfL5/eoJb6uxelTDt51FGImApODPe6L15eiiSoT22dQ6psA1KSiekxsC3q4heIs3PM0FKeENbV3J8eGZmpLThr7l4NVZKL9OTj+AD0kBp/0XztNRneS4ngT1P1TIVjJUG8QFzUQiCtA0hPeAaObcrK/F5a+Xmb5ETnLtEAIPxG08ojO9gC4Hpwi8t7QxPwM3pcDZjwpyGmL1dQ5bUzt1WsAwfF4cHnzusgC872+Xj8T0WF2UreN8IgzwryYT6Zsy8RrKbXPmQREGjk5Kc3YJeEZrG9+rcUlMTwGIE8TY546G/HVXZM7Q501FqDhZfY0dT8tAOm20nlrUu9jGpQzAy9s8SzdlddrcSe63ygEvGC4MMP8jLfGFjvY7Hvl3A8pUxT2hQ/Lg+mruq2GJXh52gZiGnC19uxpXruA1jEarxYJIPF9Sa+c0VD/SKAXnKL9MjXMWp05lqyoDD1c4fMU2+enYfKmnqw08B7mGJxnolYT9T3rhNdbkddfxuwnVtbZ7iw+DJS66L2yVYFCYKlqLFKmBXf7a3YRxRoEHKJ4lxGIb8Ckd9g/gREYD/q5oQuvzPu9AEHBHjaBZMWe2MH1XIU9e+wAL+A7eRfYgkG+n05xWG8nNPPOUyu8mkoRNlSc3IiEGrRoRO2PKUyFkVoBRHeVuo1sb9N2P1JVTiSWpNHsA13tN3Fsy7M/MUa/9jRSef1W7uQMaJ+2QXKVOwu7yW1d2OoI+rnQfpxSVAqm6ttStCLEjBm8Af2g6Mv7Xb9n6vlemxibkhzZGVaeVFOGcNVG7peG/88oR/MuZWxj4zkc46A+AE3HOMWGOLotJkdxaCs7wiQ3LUZQ+YFjvAY9/YRHeZZggwhK3m1AFuoCQgNzZiN4rp91EtCwNaCHpyJd3cNWE4efwDHm/pW6yZuzqElu9YWvx0y1fK2rq3fhQjUg001/gXe+RRctKz98eH/k1e9/nwMkfFXjSjPs/JBjuIgb8iHZedTFzhKpXHcdDmD72U74dncVqRSLbTSMy7k1fxtPJVgXw7llF9o4ZP8T7Szvalzra6yImZqYrq7liHU8q8GCU2gnN7aRveeq2ZaKzMnxmgDH/9Hwk67RYPrizH7oLYI5L7q3pIzqC7nS8Q+4ABjkoq6iPGqRzPn67eEpNb4pCXPr3Bn06PPx2U7a/dqEt2IaSxlnPjIMmHpKw5Z+vuoBVod4vYmz6UNV1xNeT1XqptR5AA57B64LXx28iOmyNllv2/g0azrqBhv9JSxkebeCRaO0ZJzOfkgc1+j7y0tbhG53M/Qd2a8t/85cfubWX5o50PfETi1DGzTSFS/WQbIkK/fdBy9kcHH8VZborzDwQCxXMOYB+1RMRPZElD2uHExH136T0wxapr5MlffW+iCJKjsW4e51/Xerzn50qfT+f/Lym/J66uiQ8cbjwTM9umwnpNCO7N+PnWg/Ax1yjhnMkwc/DcyRZuN8drU8LtFRAA9KLgbzJkQvQjpRS/taVr34O34BxPgX9kRHn6nLQKhysTrW1W+F4P7mr32oH48ZawQOiGT8XG74bBpX+VJv/ZHE/g6/zm7F1wYdm5ty+sRLccsLNVrE0axLIFy8brdybPnKgjdNm5OBXlxQ+z1o5XsajBfBxHRrwHNxgEP38PReHHPyoOblBLPRF9LC5Paeg/SzgK7cCnw64MaRuaPrkko76/3DD5E6jr5sYlTR3DBklH215uJ3sT8/06DN1nYW43pgmpv4va8e9Nr6dhcAw5qwsIDsRerC2kjfFvgR9fW/oJ+QQxKeZUX/pX2fZh+59X4FmcCA/PhqNjxx4D3h2qy/5jToIuC+hJwc0jOUBh0hQjXPRDLbTBO1DiBVJx1pB2fZt+bv/+CMuyYAhBoFzOC7NfiR+1d4eWvjOfNzHzW+PyU8HO3/W6sI9+J2f/KIjqnsqKeDGdPCqUmvIY9MbvSy4ws1o97XGpA3tTQ6PVY6fN+LYZp4MbQNTA6ifLWtfcVjK5/4OuLMA3qy53edy+9zk5I/piKYswDNoe1exeWzHpMhKXuVU09+z9olPwC8bYNvJzII/2tgSiNyxlT6KSzK2IdFNrN/SmLw0dl4I4FJLf5ANuH5kD8qQpsO3VUTXGyn/btRNb4BZWxv2d/AnS2MtcUbR1Nryuyv2A4sl7YIkKOwkoOCpFLMx2VAKOqkAnNsy8Xid+eJaszXjw/P03AP67c9tIEFTkN97pvICWE4BS4PUa6b2gQN0VA4aa44C8LY9d7CtwIeCb7sqG5k7JD8S+aA95kIKMymkukPcv86/7m3ZGl/4TBH8XZCq2vS5Kv6Ye6a2DOUC2fzkk+n7SvrUnY9Uc5wzM496dwf2/uLxDJ6GA3ZVDtGt17iSgp+yWz4PROx/OPy719noyfT5itHEN5VSW+k2lFzGfzf13Of51kPcmfljfsFMFXSYAC4klIGWrJzrvYBnS11yygJ/ZWb/yOxfO97cMqAiDbGtc6ebyKufec5tBVy9eKmQX5WLRVWC17roZ7qlW2Nh/+j6j5P1vQNdk+fOfmHjHuIN6ZZ5WRdqi7uKp1zXgAFmktCW6/zWjKtoET7Cpxu4s3vtb3jK5haf8FpxXoIuo9ICMqL6G/xb1l2SHXzPHeDgW2F6AFLmATKfK9o+lAhvoKh2KeeYRWrOreuuLcm32rRXWISdrGpTscyVmF++sudsfauLvWPOW9PfWc3gD5gU9cX0FNJTXapzF8lTBVxP+GxqWF3GtIR4D/NhdsWAZsCOpIv9g9o4bRwuM9CW7TS/4VD/f+19W3Ojutbtr9mvu7iYVPzYxAiMjRyELqA3QK4QEITYxMb8+m/K3U5nnX3qvJ3vaVet1Fr2Sjcg5hxzDGleSmx9+/KFi2Y5oJjQ0AZd9jaDLYHNBRd4Vr13bMNZXiHmv9bZhLlAoBjXPTy/TnoeFNkkZDhD3Jx42slP0fpfWTDucKSvWMyvqe3Ple0/uGhKuPYZLW5HGgc8l7M5dwObX1IX7Qr316UMVqDfICZaxIP4cdjbwXJE8VMi0uudn3F8AZt65x1oWFt+sij2itv0BWvVCMRl6f569Kkokx60XD+a+cRPMirMLHoBOuBqtGExMHMm+1WHZjb6WmJOHHJbU8CCPaxtaxQjcHCH96CrltorBE+Fqfm4TR1ddF+08b4Mpkdfxwvp9Fg6ckycscFR7FMGOmEwZ0wK7ZYGuApoIockzLI/McS5zOQxOCuw3XWRdcwRKHGoZfJyvavqCSZR4uK2A1xNryYX5EAfNVnnEws76xjhPgs8M5PsYs6+pEgWiP2vZc8dEUmPBewCmBpl/JdVDb7pwNWY/jBFzncJ6EHApKAK+Ueh69sR4nRidQvusaWQBF34vX84cv3LzGt9xRsVH3LtYuftmrxDvBxIALzRzhb9BSR2SdjZSwJ+S0T8hXkN1vV2kveZs1Or+rOTOp5divmQ2Pp24E3M0C9LiO2MA/vRM807MB0dQhmAXuiFjl9B51PMyEjdGPAT9/T9eWEu7ok1f5m+dDwENWjVoJfjpWRGG+CtdOsVcEsB8a65z2juMQa9Z9Ohycy84wdGQYy2aTg1xGkuxfu0EhqwYEGz6qTI8nhSuYYY6y1m3nPdc17k8QtgnbEx0NC6UcH8QYYPpxwCM2fUKW/PJ8yYl2zUQbrNlofNgx8SM/Oi0lvTm0Ykt/VNMssSG96WDuCCK8H+2QUH86wYhnjw5nIXW6UexypUgJtbF/xP09B7gfituet3Wd40okdGz27rTb3ivXxgb5E4hq/wA6fbebfou3+W/dyzCGKxi56A4+Oayr5wAq9CvqmW2AMWYO5oztpiLiP/BKTJrixtlS9rhzGI6FwnCZs+knB0SJs+uA3NbAI6/Nnk/l5BrxRJvw7NbA8aoX3VezZDquUQn+917CFKCis+UcD5I0ddYqscI/AV0P91yKnaAF60JJed3NZt7dQbXwPOPs6JRpLHiTI9mobgxvtGZzoGH+HbAw1W9aB4tnCTD3TlLWCklqaHmL5PR2fxJbX4GaP6Ihcti06bszRd0NgvmbwCZu35bX3vbfaX2wCzXOIZcHRv8juTnOgibwbu/rpWNsqwbp7kQFbVy9RWPE64jT9Tq7CyTQxqaYrY4rdZa87D9Ie0VMZFHJlnZi9TWloQFbgqH+8LdM0H8OhEdBNwW21mmDrAxS+4m9lxI0VlqwG4U4dzabOWWypAF/W+vhpsSLhMqpCdlEitmgH+6xjsBoe1S0YGFKsO8GvRrR/5G8kB+IRizZa5pr8FBkbJ22KREWU1cMY5LwbgLi15OtJmxR30foj8RTB+FahJEqAxh4D3dWhTOaj3issVtdhKBmCv/fyZsOcr5d+9+15AY/HaJgg08AfmSqtN7FR5cWH5CDKt+SKBuh1oHJY2cqjpczTEe9HqngI3PiAd8mB85W48UWvqeWSi1ZqDbWoK+oNG8Sqz1o/c1KliXpQhfpaaFwceb5RLnqp8ax3yuDT3cECFC+u+JQs8j5kjTGNzfvNUiybKXCIY6OkkWAfSMfUzyc3M6qYL7uoM9LqZ4aHjxz7b6WBURMu7MsddGeITFWfQXtilDDy5TxzDY1Lm+YLFpnGHmU/0dAQ8LnuIm+44Fe7HwkEncstb9tb66fe+zNnlm18eYBZwbvzAeZe6eqngmUWovL1D3ssBYu7CV9T9ZWZbLzUbeWbOStg0887eVYGNs14NWQA0oAXeFUpdWOeF5xB7hsQDntBUqHmtgfumPb7VQf2YibyUG07ADy0RIivNiZXQxKqYmUEZfzLAqDJ7vgK/Ak0OkWYg18TMdqKKp5ZH69b04PCneiE2+H9UubpPW/6iAE8htl6qgMcVbx555jmsoStCNifMezHn3nJpGmx312PUCA73wdnKA24b7RyyP7ayrVscKUd/qbC+ga2ewD6vu0U6EN8OCvRFIvCeBbNVcHWuQV9jeBOPuAwctDjm3Qk4drK7x159A523Y+6bhd+nG3t/hrXHoI/XgBVNjNnzfNzwbrf4k9DNjt1zNJoX4H4H4P0C7O6zWtT12DILa+zJv32xID6dL9n79LV3Jsr68YmaXgXiw0m7j1UVBiccnOeDqD0aFRADZHTgJMgcm5dsSuTL1BRstcLdOLAN+AvaetXL+kqsqSj62S8YEvBevue2F4AxpCOgt5Tpy+8SVs8iVw3fMJPX+sVzNqeDhHjIliz4OAHHfQKuiTEiN5Njxlr5dTCzRgNlH6L4BrTMlmF8hjhumzUDLHvsVeqkbeZK16dq07igtw8cvc1s0Hs2mBwmNWCEnSNFgKU8Mn25awF6spObQ64ywAlcZ2vg+6AXA9Oj3y5ION2EOVOj+HrIkQP66dE7/cxyPorQzGOrr8BVG0A9twosx3B6JZ6vahgpzQkBFjCLiMw1RWZ9pmqT2qJVRZ1zXIUQB5Cy9gsyMZNzt3Aq5+OUhZ7Ji3icZe8xDRYVyhls8Iw3nX0Uza4Gfn9s0X3WG7zvT77EH8c8dXieWnhDbmZuG+iez5qtP6nt74mZlus0MdUQhyz+fgR/wWzqS7Zy6r55nC8XpOc2WWKShbjhvfoCXcjh+Q+U+xYJiJnfTkgw7vdmXnFrelVjDNznKevWgIupy4LtTDcSm1pQFfCNCLsT8KkTDrXDtbplffHQy0sGMR+HjThwtZKOjSXo88xZfwnaJMdIkwSZM26sxebNUn18LilJTL8YiGkR6WZZbtQGdCU75m8XMqCMWeMFbGOVtpiVbkyP32t4doBbvKpe2opzVIaxVuFISGi/MtApRHDMw+Sa3KYmcT6uBbO3xPZP1Jkao4mYE1xogEsiSFtZzRfnfDyGYygC/FVylVSd4ge0ffCNtkaKHUScZvbIWDCVZr0Ab3bg9wL41UqZ+Xxh0x+pXqV2Q3cLYGY4vlIrdgprzXFv8zueRuQdYjTEqyZkWvEjU0Ul+O4QkscanonpP8a8XiC5Oubcylx+Y7d7/oasuzfrmMuV5D78vM07pzipoXD/5GyusLX+s1f5thLhyMX780UEaiYaBcrVnDIE4hc9+vZoCngN3Lyr8zinburKrvDAxgbcex1glEURPoFOySukv9IO4ZSbSDObGYZBSSHaMe+KA76QANEarDGliAM+hrKVoAPXVybiB0ZpFawzPoCO56Z/rM0SC2KlM1OTW0C68wn311tqlK3zYZNW8hqYxyH35zqwzL7upeyaSUXmXKU4VQt5KsEvD4xwSgmuegTagz1q22+gad9lyFNikffENX1SU2d3O5sZTfnekWlt8juoXxxDe081v9adLFM2vVd5YsPzjnUeLBBbVkXnTUeNzswlBe1A04r1l2oTt9T1o2bfAa3/Bf77ec9ddpqsDnEAGLs7bJILvNdmt6Ckckx/psArepTTcMYEOAntpzAd2CmJ/DLrvAYPMWj5RqZCLzhoChymXtajD6XRI888TKy4K/JxBI4EmEleq7xJTDdF4N0XylNHOh5KQcuxbi6k0zgENKc5GwM8CEFPlriFa7lvbgIcon6ZZmU3e+CpNmCdU/Uc8PzRv/fsSLMvyjqIdrxPF2UxBDjgYNCU6KOy7AK395nm+wNw7GOvJobkYrgBE+vwSLkn7XqpAlN3bzq0BG7Zp64ScqGu3wLf+CDoe4b1uXAB51o+y2C+glXdEmZ6IJC43MhTzdIliSTgayOkM5FDiPbZoN/roAGNqHdi6DzWIVMn13OEk2TBGXH9AxapixffAcWxwsHzg2+cDszUjTaIaJ7UQtIaLIFskKwsElK9PZVhYxj9B1hxhPN0Veg3k+uN6HKvCVrVbgzvCh+AY/TqZT0WCyp39vjF38+zuUczV+mxvwGxKjj2H5cUcAs7Spv5YIWlTJ6mVGwelRvbBDhtYt1nIF52VnoBXtgBKb9VrXIPgV3I0OsS62wDx5pr4BlMb69mpnU9gL+i5rFv88kGNhcCfEHE3ZESXrRbT/V4gd/Nkt70Z/u4UqRSyn85FfiOtNC9JiJl6MADGRHQ/7UGjS0mXm6a3TFCJj//tWxTh+Rvt8KyHr58KzjxWLidM3h2YAxWhfA5NefnbeCozdbCXaOBN2ZF33zV7Ply7GF9LPVl6iqV1oJE/qsKi6vQ3QX3I5YCQdxXp9RC22OeeAzi/IMf8kVfCxFPe2fr7W7Gnkx9wbyUnfboYuqz4kZEKVxD3cB3T3X/7GLgURS0Z039EnztJqnCWJBCDOkVdEhQbnCBFz0lvZlRQx58fpu4oyuduIRnAF99dqRl+3UHuB/iHmfnE0U18KjzyZy3U3Fdgc/a1QIstXu7cGZdEzbezJ4E6MAXBfhHh49bkb/NfOEiC66rsn8812TTPu5laDtZNyVmVhTow5PpMSSj+IO5igPmuHUgE2XHt6SLt7WubzWXjaIkOOboXDCPHgI9gkacjoPqC+oP5W3aiJxIAfqRb7aPc/OroniGOAPcaLUcA0/Q3F+I2NoVRR/mbLi4nWfed7dMrAW8q7bWzUIWWaTdegbNgECD9pnDD+C7RW13NuAC4LA31bYksm9aPCSPWLkjAoWCkx5iZYeBI5dhvSKRaisN+jrk77iLA7DTZm+66PX8zLh8AT10TjnfJKG68u7DA+7vSOBnSeCdTf5w2pOODjyk1spOHPuRS/yqIo1MfsH9XMTlfOdYNm/jz9IiK5PrfjRcVKxfMnd8kl13S3udHEPCOPA+5vCvcmNq0EleQ1zmcH+s9X+fOyAOsUfesBs89lLsA2/0n3OWAbemrle+sw7vjsFslwID+rEV/LsHrdSzDQY+D9zM9IsUwJpMzjf4GvAA4JAQhiOfZ7afpBy94IjPFG0dGpJHnt4sEQY8bZzkfZ2CTv9KFq2L1uzHzpbpOQAYZ+Y3Cmp66CIzx1bnCeicQrCLskgqBNrtHOQmfXwATmxjmrrAKw/mLKHukcXd71ws0BsQrQXE8b6ZRO+VxyFx4RmvFVPnRPvAF0xtl37COeKgR/zCzBvLzr/3ll0ZipYn8OfHytEcePNwCKWZpbQ5gjaiLdfZ5nEOO5VCg+cM6Fxp0PEB+pSB9vdWk2RRzJgAVSds4KmoSDjfJzn36iUGPOkcw7WluNpCv90IlyXgbpEZ3sQw+Ex3AW48JO/PHh+ax7neLPPAMXnldbjeg9ZtuO2TjMULBeZdDhB/u/kLI/4uexzRQTXAVbYQv8+Zqyfgg3tGQVsy0oL9PDE3JkeTmya8D5xNW/Cb95Spx/sSpTbn8drKIr+XebdUjD/hfkZ12F1NrS7u7v3mPiG+huB7m8xpwHe5pzYkxrm6EK7H0pYjxGia2Rp4n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-                shift length = avoid margin
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-        <text x="20" y="350" fill="#000000" font-family="Helvetica" font-size="12px">The direction of avoidanc...</text>
-      </switch>
-    </g>
-    <path d="M 168.28 369.25 L 266.04 332.42" fill="none" stroke="#4d4d4d" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 270.95 330.56 L 265.64 336.31 L 266.04 332.42 L 263.17 329.76 Z" fill="#4d4d4d" stroke="#4d4d4d" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="511.5" y="7" width="183.72" height="20" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
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-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
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-                Merge all shifts
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-            </div>
-          </div>
-        </foreignObject>
-        <text x="603" y="21" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="14px" text-anchor="middle">Merge all shifts</text>
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-    </g>
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-    <path d="M 552.74 1027 L 552.74 82.13" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 653.98 1027 L 653.98 82.13" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <rect x="516.47" y="789.94" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-90,545.99,804.7)" pointer-events="all"/>
-    <rect x="519" y="697.98" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-100,548.53,712.75)" pointer-events="all"/>
-    <rect x="492" y="503.95" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-60,521.53,518.71)" pointer-events="all"/>
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-          <div
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-                For multiple avoidance shifts in the same direction, take the largest one.
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-            </div>
-          </div>
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-        <text x="377" y="650" fill="#000000" font-family="Helvetica" font-size="12px">For multiple avoidance sh...</text>
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-    <g transform="translate(-0.5 -0.5)">
-      <switch>
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-          <div
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-          >
-            <div data-drawio-colors="color: #000000; " style="box-sizing: border-box; font-size: 0px; text-align: left;">
-              <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                For multiple avoidance shifts in the different direction, take the sum of both.
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="377" y="391" fill="#000000" font-family="Helvetica" font-size="12px">For multiple avoidance...</text>
-      </switch>
-    </g>
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-      fill="none"
-      stroke="#007fff"
-      stroke-width="4"
-      stroke-miterlimit="10"
-      pointer-events="stroke"
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-    <ellipse cx="623.89" cy="833.47" rx="5" ry="5" fill="#66b2ff" stroke="#004c99" pointer-events="all"/>
-    <ellipse cx="621.89" cy="776.47" rx="5" ry="5" fill="#66b2ff" stroke="#004c99" pointer-events="all"/>
-    <ellipse cx="628.89" cy="743.47" rx="5" ry="5" fill="#66b2ff" stroke="#004c99" pointer-events="all"/>
-    <path d="M 522 897 L 592.59 853.07" fill="none" stroke="#4d4d4d" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 597.05 850.3 L 592.96 856.97 L 592.59 853.07 L 589.26 851.03 Z" fill="#4d4d4d" stroke="#4d4d4d" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="378.28" y="877" width="150" height="51" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe flex-start; justify-content: unsafe flex-start; width: 148px; height: 1px; padding-top: 884px; margin-left: 380px;"
-          >
-            <div data-drawio-colors="color: #000000; " style="box-sizing: border-box; font-size: 0px; text-align: left;">
-              <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                Pick up the shift points where the gradient of the shift changes.
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="380" y="896" fill="#000000" font-family="Helvetica" font-size="12px">Pick up the shift points...</text>
-      </switch>
-    </g>
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-    <rect x="862" y="7" width="183.72" height="20" fill="none" stroke="none" pointer-events="all"/>
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-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
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-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div style="display: inline-block; font-size: 14px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                Trim shift points
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="954" y="21" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="14px" text-anchor="middle">Trim shift points</text>
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-    <rect x="687" y="572.47" width="146.78" height="76.53" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
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-          >
-            <div data-drawio-colors="color: #000000; " style="box-sizing: border-box; font-size: 0px; text-align: left;">
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-                Start avoiding as soon as getting back to the center line. Remove these points to avoid obstacles at the same shift.
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="689" y="591" fill="#000000" font-family="Helvetica" font-size="12px">Start avoiding as soon a...</text>
-      </switch>
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-    <rect x="732.22" y="357" width="136.78" height="56" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe flex-start; justify-content: unsafe flex-start; width: 135px; height: 1px; padding-top: 364px; margin-left: 734px;"
-          >
-            <div data-drawio-colors="color: #000000; " style="box-sizing: border-box; font-size: 0px; text-align: left;">
-              <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                Points that do not have a large effect on the overall shift will be deleted.
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-            </div>
-          </div>
-        </foreignObject>
-        <text x="734" y="376" fill="#000000" font-family="Helvetica" font-size="12px">Points that do not have...</text>
-      </switch>
-    </g>
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-    <path d="M 1273.36 1027 L 1273.36 82.13" fill="none" stroke="#cccccc" stroke-miterlimit="10" stroke-dasharray="3 3" pointer-events="stroke"/>
-    <path d="M 1222.74 1027 L 1222.74 82.13" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 1323.98 1027 L 1323.98 82.13" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <rect x="1186.47" y="789.94" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-90,1215.99,804.7)" pointer-events="all"/>
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-    <rect x="1162" y="503.95" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-60,1191.53,518.71)" pointer-events="all"/>
-    <rect x="1198.28" y="441.52" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-90,1227.81,456.28)" pointer-events="all"/>
-    <rect x="1273.36" y="301.47" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-90,1302.89,316.24)" pointer-events="all"/>
-    <rect x="1243.83" y="197" width="59.05" height="29.53" rx="4.43" ry="4.43" fill="#f5f5f5" stroke="#666666" transform="rotate(-90,1273.36,211.77)" pointer-events="all"/>
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-    <path d="M 1273 133 Q 1273 133 1273 66" fill="none" stroke="#00cc00" stroke-width="4" stroke-miterlimit="10" pointer-events="stroke"/>
-    <rect x="1182" y="7" width="183.72" height="20" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 182px; height: 1px; padding-top: 17px; margin-left: 1183px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div style="display: inline-block; font-size: 14px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                Generate path
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-        <text x="1274" y="21" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="14px" text-anchor="middle">Generate path</text>
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-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
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-            style="display: flex; align-items: unsafe flex-start; justify-content: unsafe flex-start; width: 108px; height: 1px; padding-top: 284px; margin-left: 1090px;"
-          >
-            <div data-drawio-colors="color: #000000; " style="box-sizing: border-box; font-size: 0px; text-align: left;">
-              <div style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                Each shift points are connected by a Clothoid-like curve.
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-          </div>
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-        <text x="1090" y="296" fill="#000000" font-family="Helvetica" font-size="12px">Each shift points...</text>
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diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/path_generation/lateral.png b/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/path_generation/lateral.png
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diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/path_generation/margin.png b/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/path_generation/margin.png
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Binary files a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/path_generation/margin.png and /dev/null differ
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_vehicle_selection.svg b/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_vehicle_selection.svg
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-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 198px; height: 1px; padding-top: 242px; margin-left: 65px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-weight: bold; white-space: normal; overflow-wrap: normal;"
-              >
-                Ego
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="164" y="248" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-weight="bold">Ego</text>
-      </switch>
-    </g>
-    <rect x="9" y="42" width="1960" height="80" fill="#b3b3b3" stroke="rgb(0, 0, 0)" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 1958px; height: 1px; padding-top: 82px; margin-left: 10px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-weight: bold; white-space: normal; overflow-wrap: normal;"
-              >
-                road shoulder
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="989" y="88" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-weight="bold">road shoulder</text>
-      </switch>
-    </g>
-    <rect x="9" y="12" width="1960" height="590" fill="none" stroke="#33ff33" stroke-width="5" pointer-events="all"/>
-    <rect x="1184" y="72" width="200" height="120" fill="#ffffff" stroke="#000000" pointer-events="all"/>
-    <rect x="414" y="212" width="110" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 108px; height: 1px; padding-top: 227px; margin-left: 415px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                center line
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="469" y="233" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle">center line</text>
-      </switch>
-    </g>
-    <path d="M 785 210.24 L 785 233.76" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 785 204.24 L 789 212.24 L 785 210.24 L 781 212.24 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 785 239.76 L 781 231.76 L 785 233.76 L 789 231.76 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="754" y="162" width="60" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 58px; height: 1px; padding-top: 177px; margin-left: 755px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                threshold_distance_object_is_on_center
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="784" y="183" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">thresh...</text>
-      </switch>
-    </g>
-    <path d="M 1619 173.76 L 1619 50.24" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 1619 179.76 L 1615 171.76 L 1619 173.76 L 1623 171.76 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 1619 44.24 L 1623 52.24 L 1619 50.24 L 1615 52.24 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="1519" y="182" width="200" height="120" fill="#ffffff" stroke="#000000" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 198px; height: 1px; padding-top: 242px; margin-left: 1520px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-weight: bold; white-space: normal; overflow-wrap: normal;"
-              >
-                Object
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1619" y="248" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-weight="bold">Object</text>
-      </switch>
-    </g>
-    <rect x="1184" y="92" width="125" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 123px; height: 1px; padding-top: 107px; margin-left: 1185px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                object
-                <br/>
-                center
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1247" y="113" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle">object...</text>
-      </switch>
-    </g>
-    <path d="M 1284 233.76 L 1284 135" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 1284 239.76 L 1280 231.76 L 1284 233.76 L 1288 231.76 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <ellipse cx="1284" cy="132" rx="3" ry="3" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" pointer-events="all"/>
-    <rect x="1654" y="67" width="110" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 108px; height: 1px; padding-top: 82px; margin-left: 1655px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                shiftable_length
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1709" y="88" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">shiftable_l...</text>
-      </switch>
-    </g>
-    <rect x="1229" y="252" width="110" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 108px; height: 1px; padding-top: 267px; margin-left: 1230px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                shift_length
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1284" y="273" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">shift_length</text>
-      </switch>
-    </g>
-    <rect x="19" y="132" width="110" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 108px; height: 1px; padding-top: 147px; margin-left: 20px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; white-space: normal; overflow-wrap: normal;">
-                ego lane
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="74" y="153" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle">ego lane</text>
-      </switch>
-    </g>
-    <path d="M 1871.46 113.76 L 1871.04 20.24" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 1871.49 119.76 L 1867.45 111.78 L 1871.46 113.76 L 1875.45 111.75 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 1871.01 14.24 L 1875.05 22.22 L 1871.04 20.24 L 1867.05 22.25 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="1759" y="132" width="110" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 108px; height: 1px; padding-top: 147px; margin-left: 1760px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                detection_area_left_expand_dist
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1814" y="153" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">detection_a...</text>
-      </switch>
-    </g>
-    <path d="M 107.24 454 L 1960.76 454.5" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 101.24 454 L 109.24 450 L 107.24 454 L 109.23 458 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 1966.76 454.5 L 1958.76 458.5 L 1960.76 454.5 L 1958.77 450.5 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 99.16 492.26 L 99.16 302.28" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" stroke-dasharray="2 6" pointer-events="stroke"/>
-    <rect x="1049" y="412" width="60" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 58px; height: 1px; padding-top: 427px; margin-left: 1050px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                object_check_forward_distance
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1079" y="433" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">object...</text>
-      </switch>
-    </g>
-    <rect x="159" y="532" width="60" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 58px; height: 1px; padding-top: 547px; margin-left: 160px;"
-          >
-            <div data-drawio-colors="color: rgb(0, 0, 0); " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; pointer-events: all; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                object_check_backward_distance
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="189" y="553" fill="rgb(0, 0, 0)" font-family="Helvetica" font-size="20px" text-anchor="middle" font-style="italic">object...</text>
-      </switch>
-    </g>
-    <path d="M 49 463 L 89.36 532.76" fill="none" stroke="#333333" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 17.24 454.55 L 90.76 454.95" fill="none" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="stroke"/>
-    <path d="M 11.24 454.51 L 19.26 450.56 L 17.24 454.55 L 19.21 458.56 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <path d="M 96.76 454.99 L 88.74 458.94 L 90.76 454.95 L 88.79 450.94 Z" fill="rgb(0, 0, 0)" stroke="rgb(0, 0, 0)" stroke-width="2" stroke-miterlimit="10" pointer-events="all"/>
-    <rect x="1879" y="552" width="60" height="30" fill="none" stroke="none" pointer-events="all"/>
-    <g transform="translate(-0.5 -0.5)">
-      <switch>
-        <foreignObject pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility" style="overflow: visible; text-align: left;">
-          <div
-            xmlns="http://www.w3.org/1999/xhtml"
-            style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 58px; height: 1px; padding-top: 567px; margin-left: 1880px;"
-          >
-            <div data-drawio-colors="color: #006600; " style="box-sizing: border-box; font-size: 0px; text-align: center;">
-              <div
-                style="display: inline-block; font-size: 20px; font-family: Helvetica; color: rgb(0, 102, 0); line-height: 1.2; pointer-events: all; font-weight: bold; font-style: italic; white-space: normal; overflow-wrap: normal;"
-              >
-                detection area
-              </div>
-            </div>
-          </div>
-        </foreignObject>
-        <text x="1909" y="573" fill="#006600" font-family="Helvetica" font-size="20px" text-anchor="middle" font-weight="bold" font-style="italic">detect...</text>
-      </switch>
-    </g>
-  </g>
-  <switch>
-    <g requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"/>
-    <a transform="translate(0,-5)" xlink:href="https://www.diagrams.net/doc/faq/svg-export-text-problems" target="_blank">
-      <text text-anchor="middle" font-size="10px" x="50%" y="100%">Text is not SVG - cannot display</text>
-    </a>
-  </switch>
-</svg>
diff --git a/planning/autoware_external_velocity_limit_selector/include/autoware_external_velocity_limit_selector/external_velocity_limit_selector_node.hpp b/planning/autoware_external_velocity_limit_selector/include/autoware/external_velocity_limit_selector/external_velocity_limit_selector_node.hpp
similarity index 91%
rename from planning/autoware_external_velocity_limit_selector/include/autoware_external_velocity_limit_selector/external_velocity_limit_selector_node.hpp
rename to planning/autoware_external_velocity_limit_selector/include/autoware/external_velocity_limit_selector/external_velocity_limit_selector_node.hpp
index e4043f1aeb986..ab27f3727e847 100644
--- a/planning/autoware_external_velocity_limit_selector/include/autoware_external_velocity_limit_selector/external_velocity_limit_selector_node.hpp
+++ b/planning/autoware_external_velocity_limit_selector/include/autoware/external_velocity_limit_selector/external_velocity_limit_selector_node.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
-#define AUTOWARE_EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
+#ifndef AUTOWARE__EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
+#define AUTOWARE__EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -82,4 +82,4 @@ class ExternalVelocityLimitSelectorNode : public rclcpp::Node
 };
 }  // namespace autoware::external_velocity_limit_selector
 
-#endif  // AUTOWARE_EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
+#endif  // AUTOWARE__EXTERNAL_VELOCITY_LIMIT_SELECTOR__EXTERNAL_VELOCITY_LIMIT_SELECTOR_NODE_HPP_
diff --git a/planning/autoware_external_velocity_limit_selector/src/external_velocity_limit_selector_node.cpp b/planning/autoware_external_velocity_limit_selector/src/external_velocity_limit_selector_node.cpp
index 008b58df303b1..f2038a11362b5 100644
--- a/planning/autoware_external_velocity_limit_selector/src/external_velocity_limit_selector_node.cpp
+++ b/planning/autoware_external_velocity_limit_selector/src/external_velocity_limit_selector_node.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_external_velocity_limit_selector/external_velocity_limit_selector_node.hpp"
+#include "autoware/external_velocity_limit_selector/external_velocity_limit_selector_node.hpp"
 
 #include <deque>
 #include <memory>
diff --git a/planning/autoware_freespace_planner/include/autoware_freespace_planner/freespace_planner_node.hpp b/planning/autoware_freespace_planner/include/autoware/freespace_planner/freespace_planner_node.hpp
similarity index 91%
rename from planning/autoware_freespace_planner/include/autoware_freespace_planner/freespace_planner_node.hpp
rename to planning/autoware_freespace_planner/include/autoware/freespace_planner/freespace_planner_node.hpp
index 0606d1d2bb369..70167f0833586 100644
--- a/planning/autoware_freespace_planner/include/autoware_freespace_planner/freespace_planner_node.hpp
+++ b/planning/autoware_freespace_planner/include/autoware/freespace_planner/freespace_planner_node.hpp
@@ -28,13 +28,13 @@
  * limitations under the License.
  */
 
-#ifndef AUTOWARE_FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
-#define AUTOWARE_FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
+#define AUTOWARE__FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
 
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
 
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -52,7 +52,7 @@
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 
 #include <tf2_ros/buffer.h>
 #include <tf2_ros/transform_listener.h>
@@ -163,8 +163,8 @@ class FreespacePlannerNode : public rclcpp::Node
 
   TransformStamped getTransform(const std::string & from, const std::string & to);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 };
 }  // namespace autoware::freespace_planner
 
-#endif  // AUTOWARE_FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNER__FREESPACE_PLANNER_NODE_HPP_
diff --git a/planning/autoware_freespace_planner/package.xml b/planning/autoware_freespace_planner/package.xml
index a5ed76d7d27b6..ebc8d9df654f7 100644
--- a/planning/autoware_freespace_planner/package.xml
+++ b/planning/autoware_freespace_planner/package.xml
@@ -16,19 +16,19 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_freespace_planning_algorithms</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_freespace_planner/src/autoware_freespace_planner/freespace_planner_node.cpp b/planning/autoware_freespace_planner/src/autoware_freespace_planner/freespace_planner_node.cpp
index 797c140aa9dd9..55068263f5d5b 100644
--- a/planning/autoware_freespace_planner/src/autoware_freespace_planner/freespace_planner_node.cpp
+++ b/planning/autoware_freespace_planner/src/autoware_freespace_planner/freespace_planner_node.cpp
@@ -28,12 +28,12 @@
  * limitations under the License.
  */
 
-#include "autoware_freespace_planner/freespace_planner_node.hpp"
+#include "autoware/freespace_planner/freespace_planner_node.hpp"
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <algorithm>
 #include <deque>
@@ -142,8 +142,8 @@ Trajectory getPartialTrajectory(
 
 double calcDistance2d(const Trajectory & trajectory, const Pose & pose)
 {
-  const auto idx = motion_utils::findNearestIndex(trajectory.points, pose.position);
-  return tier4_autoware_utils::calcDistance2d(trajectory.points.at(idx), pose);
+  const auto idx = autoware::motion_utils::findNearestIndex(trajectory.points, pose.position);
+  return autoware::universe_utils::calcDistance2d(trajectory.points.at(idx), pose);
 }
 
 Pose transformPose(const Pose & pose, const TransformStamped & transform)
@@ -287,7 +287,7 @@ FreespacePlannerNode::FreespacePlannerNode(const rclcpp::NodeOptions & node_opti
       this, get_clock(), period_ns, std::bind(&FreespacePlannerNode::onTimer, this));
   }
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 PlannerCommonParam FreespacePlannerNode::getPlannerCommonParam()
@@ -365,8 +365,8 @@ bool FreespacePlannerNode::isPlanRequired()
   if (node_param_.replan_when_obstacle_found) {
     algo_->setMap(*occupancy_grid_);
 
-    const size_t nearest_index_partial =
-      motion_utils::findNearestIndex(partial_trajectory_.points, current_pose_.pose.position);
+    const size_t nearest_index_partial = autoware::motion_utils::findNearestIndex(
+      partial_trajectory_.points, current_pose_.pose.position);
     const size_t end_index_partial = partial_trajectory_.points.size() - 1;
 
     const auto forward_trajectory =
@@ -395,7 +395,7 @@ bool FreespacePlannerNode::isPlanRequired()
 void FreespacePlannerNode::updateTargetIndex()
 {
   const auto is_near_target =
-    tier4_autoware_utils::calcDistance2d(trajectory_.points.at(target_index_), current_pose_) <
+    autoware::universe_utils::calcDistance2d(trajectory_.points.at(target_index_), current_pose_) <
     node_param_.th_arrived_distance_m;
 
   const auto is_stopped = isStopped(odom_buffer_, node_param_.th_stopped_velocity_mps);
diff --git a/planning/autoware_freespace_planner/test/test_freespace_planner_node_interface.cpp b/planning/autoware_freespace_planner/test/test_freespace_planner_node_interface.cpp
index 319786dc722dd..7b4c8e3856b38 100644
--- a/planning/autoware_freespace_planner/test/test_freespace_planner_node_interface.cpp
+++ b/planning/autoware_freespace_planner/test/test_freespace_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planner/freespace_planner_node.hpp"
+#include "autoware/freespace_planner/freespace_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/abstract_algorithm.hpp b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/abstract_algorithm.hpp
similarity index 95%
rename from planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/abstract_algorithm.hpp
rename to planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/abstract_algorithm.hpp
index 394900c9a704c..bca08f0d11c58 100644
--- a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/abstract_algorithm.hpp
+++ b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/abstract_algorithm.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
-#define AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
+#define AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <geometry_msgs/msg/pose_array.hpp>
 #include <nav_msgs/msg/occupancy_grid.hpp>
@@ -189,4 +189,4 @@ class AbstractPlanningAlgorithm
 
 }  // namespace autoware::freespace_planning_algorithms
 
-#endif  // AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ABSTRACT_ALGORITHM_HPP_
diff --git a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/astar_search.hpp b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/astar_search.hpp
similarity index 93%
rename from planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/astar_search.hpp
rename to planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/astar_search.hpp
index 99cf3fc743a82..a746ceea6f838 100644
--- a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/astar_search.hpp
+++ b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/astar_search.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
-#define AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
+#define AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
-#include "autoware_freespace_planning_algorithms/reeds_shepp.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/reeds_shepp.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -171,4 +171,4 @@ class AstarSearch : public AbstractPlanningAlgorithm
 };
 }  // namespace autoware::freespace_planning_algorithms
 
-#endif  // AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__ASTAR_SEARCH_HPP_
diff --git a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/reeds_shepp.hpp b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/reeds_shepp.hpp
similarity index 96%
rename from planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/reeds_shepp.hpp
rename to planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/reeds_shepp.hpp
index ece30175fad86..26125f08cd667 100644
--- a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/reeds_shepp.hpp
+++ b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/reeds_shepp.hpp
@@ -78,8 +78,8 @@
 // ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 // POSSIBILITY OF SUCH DAMAGE.
 
-#ifndef AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
-#define AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
+#define AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
 
 #include <cassert>
 #include <functional>
@@ -139,4 +139,4 @@ class ReedsSheppStateSpace
 };
 }  // namespace autoware::freespace_planning_algorithms
 
-#endif  // AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__REEDS_SHEPP_HPP_
diff --git a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar.hpp b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar.hpp
similarity index 88%
rename from planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar.hpp
rename to planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar.hpp
index 6a203d84a47c9..17e7f1f1ebf56 100644
--- a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar.hpp
+++ b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
-#define AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
+#define AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
-#include "autoware_freespace_planning_algorithms/rrtstar_core.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/rrtstar_core.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -71,4 +71,4 @@ class RRTStar : public AbstractPlanningAlgorithm
 
 }  // namespace autoware::freespace_planning_algorithms
 
-#endif  // AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_HPP_
diff --git a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar_core.hpp b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar_core.hpp
similarity index 95%
rename from planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar_core.hpp
rename to planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar_core.hpp
index 633da7a86a8c6..54568a1004af7 100644
--- a/planning/autoware_freespace_planning_algorithms/include/autoware_freespace_planning_algorithms/rrtstar_core.hpp
+++ b/planning/autoware_freespace_planning_algorithms/include/autoware/freespace_planning_algorithms/rrtstar_core.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
-#define AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
+#ifndef AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
+#define AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
 
-#include "autoware_freespace_planning_algorithms/reeds_shepp.hpp"
+#include "autoware/freespace_planning_algorithms/reeds_shepp.hpp"
 
 #include <tf2/utils.h>
 
@@ -158,4 +158,4 @@ class RRTStar
 
 }  // namespace autoware::freespace_planning_algorithms::rrtstar_core
 
-#endif  // AUTOWARE_FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
+#endif  // AUTOWARE__FREESPACE_PLANNING_ALGORITHMS__RRTSTAR_CORE_HPP_
diff --git a/planning/autoware_freespace_planning_algorithms/package.xml b/planning/autoware_freespace_planning_algorithms/package.xml
index 61173f0a877e4..05e906c998096 100644
--- a/planning/autoware_freespace_planning_algorithms/package.xml
+++ b/planning/autoware_freespace_planning_algorithms/package.xml
@@ -16,6 +16,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>python_cmake_module</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>nav_msgs</depend>
@@ -25,7 +26,6 @@
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_freespace_planning_algorithms/scripts/bind/astar_search_pybind.cpp b/planning/autoware_freespace_planning_algorithms/scripts/bind/astar_search_pybind.cpp
index b872ee993c5e8..0a76067bc77f8 100644
--- a/planning/autoware_freespace_planning_algorithms/scripts/bind/astar_search_pybind.cpp
+++ b/planning/autoware_freespace_planning_algorithms/scripts/bind/astar_search_pybind.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
-#include "autoware_freespace_planning_algorithms/astar_search.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/astar_search.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 #include <rclcpp/serialization.hpp>
diff --git a/planning/autoware_freespace_planning_algorithms/src/abstract_algorithm.cpp b/planning/autoware_freespace_planning_algorithms/src/abstract_algorithm.cpp
index d946ea87cff81..c434635ff1401 100644
--- a/planning/autoware_freespace_planning_algorithms/src/abstract_algorithm.cpp
+++ b/planning/autoware_freespace_planning_algorithms/src/abstract_algorithm.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 
 #include <vector>
 
 namespace autoware::freespace_planning_algorithms
 {
-using tier4_autoware_utils::createQuaternionFromYaw;
-using tier4_autoware_utils::normalizeRadian;
+using autoware::universe_utils::createQuaternionFromYaw;
+using autoware::universe_utils::normalizeRadian;
 
 geometry_msgs::msg::Pose transformPose(
   const geometry_msgs::msg::Pose & pose, const geometry_msgs::msg::TransformStamped & transform)
@@ -91,13 +91,13 @@ geometry_msgs::msg::Pose local2global(
 double PlannerWaypoints::compute_length() const
 {
   if (waypoints.empty()) {
-    std::runtime_error("cannot compute cost because waypoint has size 0");
+    throw std::runtime_error("cannot compute cost because waypoint has size 0");
   }
   double total_cost = 0.0;
   for (size_t i = 0; i < waypoints.size() - 1; ++i) {
     const auto pose_a = waypoints.at(i);
     const auto pose_b = waypoints.at(i + 1);
-    total_cost += tier4_autoware_utils::calcDistance2d(pose_a.pose, pose_b.pose);
+    total_cost += autoware::universe_utils::calcDistance2d(pose_a.pose, pose_b.pose);
   }
   return total_cost;
 }
diff --git a/planning/autoware_freespace_planning_algorithms/src/astar_search.cpp b/planning/autoware_freespace_planning_algorithms/src/astar_search.cpp
index 1a7b23251111c..6b04ca87bfb7d 100644
--- a/planning/autoware_freespace_planning_algorithms/src/astar_search.cpp
+++ b/planning/autoware_freespace_planning_algorithms/src/astar_search.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/astar_search.hpp"
+#include "autoware/freespace_planning_algorithms/astar_search.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <tf2/utils.h>
 
@@ -42,7 +42,7 @@ double calcReedsSheppDistance(
 
 void setYaw(geometry_msgs::msg::Quaternion * orientation, const double yaw)
 {
-  *orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  *orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
 }
 
 geometry_msgs::msg::Pose calcRelativePose(
@@ -86,8 +86,9 @@ AstarSearch::TransitionTable createTransitionTable(
   for (int i = 0; i < turning_radius_size; ++i) {
     double R = R_min + i * dR;
     double step = R * dtheta;
-    const NodeUpdate forward_left{
-      R * sin(dtheta), R * (1 - cos(dtheta)), dtheta, step, true, false};
+    const double shift_x = R * sin(dtheta);
+    const double shift_y = R * (1 - cos(dtheta));
+    const NodeUpdate forward_left{shift_x, shift_y, dtheta, step, true, false};
     const NodeUpdate forward_right = forward_left.flipped();
     forward_node_candidates.push_back(forward_left);
     forward_node_candidates.push_back(forward_right);
@@ -209,7 +210,7 @@ double AstarSearch::estimateCost(const geometry_msgs::msg::Pose & pose) const
     total_cost +=
       calcReedsSheppDistance(pose, goal_pose_, radius) * astar_param_.distance_heuristic_weight;
   } else {
-    total_cost += tier4_autoware_utils::calcDistance2d(pose, goal_pose_) *
+    total_cost += autoware::universe_utils::calcDistance2d(pose, goal_pose_) *
                   astar_param_.distance_heuristic_weight;
   }
   return total_cost;
@@ -332,7 +333,7 @@ bool AstarSearch::isGoal(const AstarNode & node) const
   const double lateral_goal_range = planner_common_param_.lateral_goal_range / 2.0;
   const double longitudinal_goal_range = planner_common_param_.longitudinal_goal_range / 2.0;
   const double goal_angle =
-    tier4_autoware_utils::deg2rad(planner_common_param_.angle_goal_range / 2.0);
+    autoware::universe_utils::deg2rad(planner_common_param_.angle_goal_range / 2.0);
 
   const auto relative_pose = calcRelativePose(goal_pose_, node2pose(node));
 
@@ -348,7 +349,7 @@ bool AstarSearch::isGoal(const AstarNode & node) const
   }
 
   const auto angle_diff =
-    tier4_autoware_utils::normalizeRadian(tf2::getYaw(relative_pose.orientation));
+    autoware::universe_utils::normalizeRadian(tf2::getYaw(relative_pose.orientation));
   if (std::abs(angle_diff) > goal_angle) {
     return false;
   }
@@ -363,7 +364,7 @@ geometry_msgs::msg::Pose AstarSearch::node2pose(const AstarNode & node) const
   pose_local.position.x = node.x;
   pose_local.position.y = node.y;
   pose_local.position.z = goal_pose_.position.z;
-  pose_local.orientation = tier4_autoware_utils::createQuaternionFromYaw(node.theta);
+  pose_local.orientation = autoware::universe_utils::createQuaternionFromYaw(node.theta);
 
   return pose_local;
 }
diff --git a/planning/autoware_freespace_planning_algorithms/src/reeds_shepp.cpp b/planning/autoware_freespace_planning_algorithms/src/reeds_shepp.cpp
index e8e846dde5681..82d8a5abcee8c 100644
--- a/planning/autoware_freespace_planning_algorithms/src/reeds_shepp.cpp
+++ b/planning/autoware_freespace_planning_algorithms/src/reeds_shepp.cpp
@@ -78,7 +78,7 @@
 // ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 // POSSIBILITY OF SUCH DAMAGE.
 
-#include "autoware_freespace_planning_algorithms/reeds_shepp.hpp"
+#include "autoware/freespace_planning_algorithms/reeds_shepp.hpp"
 
 #include <algorithm>
 #include <cmath>
diff --git a/planning/autoware_freespace_planning_algorithms/src/rrtstar.cpp b/planning/autoware_freespace_planning_algorithms/src/rrtstar.cpp
index 587771c35d4df..6b0018c517d4a 100644
--- a/planning/autoware_freespace_planning_algorithms/src/rrtstar.cpp
+++ b/planning/autoware_freespace_planning_algorithms/src/rrtstar.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/rrtstar.hpp"
+#include "autoware/freespace_planning_algorithms/rrtstar.hpp"
 
 namespace autoware::freespace_planning_algorithms
 {
diff --git a/planning/autoware_freespace_planning_algorithms/src/rrtstar_core.cpp b/planning/autoware_freespace_planning_algorithms/src/rrtstar_core.cpp
index 8f6405bab80cf..7403afd37e295 100644
--- a/planning/autoware_freespace_planning_algorithms/src/rrtstar_core.cpp
+++ b/planning/autoware_freespace_planning_algorithms/src/rrtstar_core.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/rrtstar_core.hpp"
+#include "autoware/freespace_planning_algorithms/rrtstar_core.hpp"
 
 #include <nlohmann/json.hpp>
 
diff --git a/planning/autoware_freespace_planning_algorithms/test/src/test_freespace_planning_algorithms.cpp b/planning/autoware_freespace_planning_algorithms/test/src/test_freespace_planning_algorithms.cpp
index 5cfb004a3b1c3..79898ed57327b 100644
--- a/planning/autoware_freespace_planning_algorithms/test/src/test_freespace_planning_algorithms.cpp
+++ b/planning/autoware_freespace_planning_algorithms/test/src/test_freespace_planning_algorithms.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/abstract_algorithm.hpp"
-#include "autoware_freespace_planning_algorithms/astar_search.hpp"
-#include "autoware_freespace_planning_algorithms/rrtstar.hpp"
+#include "autoware/freespace_planning_algorithms/abstract_algorithm.hpp"
+#include "autoware/freespace_planning_algorithms/astar_search.hpp"
+#include "autoware/freespace_planning_algorithms/rrtstar.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 #include <rcpputils/filesystem_helper.hpp>
diff --git a/planning/autoware_freespace_planning_algorithms/test/src/test_rrtstar_core_informed.cpp b/planning/autoware_freespace_planning_algorithms/test/src/test_rrtstar_core_informed.cpp
index e08afdb236192..40181884d36c7 100644
--- a/planning/autoware_freespace_planning_algorithms/test/src/test_rrtstar_core_informed.cpp
+++ b/planning/autoware_freespace_planning_algorithms/test/src/test_rrtstar_core_informed.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_freespace_planning_algorithms/rrtstar_core.hpp"
+#include "autoware/freespace_planning_algorithms/rrtstar_core.hpp"
 
 #include <gtest/gtest.h>
 
diff --git a/planning/autoware_mission_planner/include/mission_planner/mission_planner_plugin.hpp b/planning/autoware_mission_planner/include/autoware/mission_planner/mission_planner_plugin.hpp
similarity index 89%
rename from planning/autoware_mission_planner/include/mission_planner/mission_planner_plugin.hpp
rename to planning/autoware_mission_planner/include/autoware/mission_planner/mission_planner_plugin.hpp
index 5933d8879a5f6..837ea15a55486 100644
--- a/planning/autoware_mission_planner/include/mission_planner/mission_planner_plugin.hpp
+++ b/planning/autoware_mission_planner/include/autoware/mission_planner/mission_planner_plugin.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
-#define MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
+#ifndef AUTOWARE__MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
+#define AUTOWARE__MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -47,4 +47,4 @@ class PlannerPlugin
 
 }  // namespace autoware::mission_planner
 
-#endif  // MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
+#endif  // AUTOWARE__MISSION_PLANNER__MISSION_PLANNER_PLUGIN_HPP_
diff --git a/planning/autoware_mission_planner/package.xml b/planning/autoware_mission_planner/package.xml
index 0a0491e75dd95..deaf9b8e942a2 100644
--- a/planning/autoware_mission_planner/package.xml
+++ b/planning/autoware_mission_planner/package.xml
@@ -19,18 +19,18 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.cpp b/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.cpp
index a1ef66f5757f5..69c52b9c2eafb 100644
--- a/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.cpp
+++ b/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.cpp
@@ -16,16 +16,16 @@
 
 #include "utility_functions.hpp"
 
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <lanelet2_core/LaneletMap.h>
 #include <lanelet2_core/geometry/Lanelet.h>
@@ -39,20 +39,6 @@
 namespace
 {
 using RouteSections = std::vector<autoware_planning_msgs::msg::LaneletSegment>;
-RouteSections combine_consecutive_route_sections(
-  const RouteSections & route_sections1, const RouteSections & route_sections2)
-{
-  RouteSections route_sections;
-  route_sections.reserve(route_sections1.size() + route_sections2.size());
-  if (!route_sections1.empty()) {
-    // remove end route section because it is overlapping with first one in next route_section
-    route_sections.insert(route_sections.end(), route_sections1.begin(), route_sections1.end() - 1);
-  }
-  if (!route_sections2.empty()) {
-    route_sections.insert(route_sections.end(), route_sections2.begin(), route_sections2.end());
-  }
-  return route_sections;
-}
 
 bool is_in_lane(const lanelet::ConstLanelet & lanelet, const lanelet::ConstPoint3d & point)
 {
@@ -122,8 +108,8 @@ geometry_msgs::msg::Pose get_closest_centerline_pose(
 
   const double lane_yaw = lanelet::utils::getLaneletAngle(closest_lanelet, point.position);
 
-  const auto nearest_idx =
-    motion_utils::findNearestIndex(convertCenterlineToPoints(closest_lanelet), point.position);
+  const auto nearest_idx = autoware::motion_utils::findNearestIndex(
+    convertCenterlineToPoints(closest_lanelet), point.position);
   const auto nearest_point = closest_lanelet.centerline()[nearest_idx];
 
   // shift nearest point on its local y axis so that vehicle's right and left edges
@@ -204,13 +190,13 @@ PlannerPlugin::MarkerArray DefaultPlanner::visualize(const LaneletRoute & route)
   }
 
   const std_msgs::msg::ColorRGBA cl_route =
-    tier4_autoware_utils::createMarkerColor(0.8, 0.99, 0.8, 0.15);
+    autoware::universe_utils::createMarkerColor(0.8, 0.99, 0.8, 0.15);
   const std_msgs::msg::ColorRGBA cl_ll_borders =
-    tier4_autoware_utils::createMarkerColor(1.0, 1.0, 1.0, 0.999);
+    autoware::universe_utils::createMarkerColor(1.0, 1.0, 1.0, 0.999);
   const std_msgs::msg::ColorRGBA cl_end =
-    tier4_autoware_utils::createMarkerColor(0.2, 0.2, 0.4, 0.05);
+    autoware::universe_utils::createMarkerColor(0.2, 0.2, 0.4, 0.05);
   const std_msgs::msg::ColorRGBA cl_goal =
-    tier4_autoware_utils::createMarkerColor(0.2, 0.4, 0.4, 0.05);
+    autoware::universe_utils::createMarkerColor(0.2, 0.4, 0.4, 0.05);
 
   visualization_msgs::msg::MarkerArray route_marker_array;
   insert_marker_array(
@@ -230,27 +216,27 @@ PlannerPlugin::MarkerArray DefaultPlanner::visualize(const LaneletRoute & route)
 }
 
 visualization_msgs::msg::MarkerArray DefaultPlanner::visualize_debug_footprint(
-  tier4_autoware_utils::LinearRing2d goal_footprint) const
+  autoware::universe_utils::LinearRing2d goal_footprint) const
 {
   visualization_msgs::msg::MarkerArray msg;
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", rclcpp::Clock().now(), "goal_footprint", 0, visualization_msgs::msg::Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(0.05, 0.0, 0.0),
-    tier4_autoware_utils::createMarkerColor(0.99, 0.99, 0.2, 1.0));
+    autoware::universe_utils::createMarkerScale(0.05, 0.0, 0.0),
+    autoware::universe_utils::createMarkerColor(0.99, 0.99, 0.2, 1.0));
   marker.lifetime = rclcpp::Duration::from_seconds(2.5);
 
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[0][0], goal_footprint[0][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[0][0], goal_footprint[0][1], 0.0));
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[1][0], goal_footprint[1][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[1][0], goal_footprint[1][1], 0.0));
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[2][0], goal_footprint[2][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[2][0], goal_footprint[2][1], 0.0));
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[3][0], goal_footprint[3][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[3][0], goal_footprint[3][1], 0.0));
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[4][0], goal_footprint[4][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[4][0], goal_footprint[4][1], 0.0));
   marker.points.push_back(
-    tier4_autoware_utils::createPoint(goal_footprint[5][0], goal_footprint[5][1], 0.0));
+    autoware::universe_utils::createPoint(goal_footprint[5][0], goal_footprint[5][1], 0.0));
   marker.points.push_back(marker.points.front());
 
   msg.markers.push_back(marker);
@@ -261,7 +247,7 @@ visualization_msgs::msg::MarkerArray DefaultPlanner::visualize_debug_footprint(
 bool DefaultPlanner::check_goal_footprint_inside_lanes(
   const lanelet::ConstLanelet & current_lanelet,
   const lanelet::ConstLanelet & combined_prev_lanelet,
-  const tier4_autoware_utils::Polygon2d & goal_footprint, double & next_lane_length,
+  const autoware::universe_utils::Polygon2d & goal_footprint, double & next_lane_length,
   const double search_margin)
 {
   // check if goal footprint is in current lane
@@ -316,8 +302,8 @@ bool DefaultPlanner::is_goal_valid(
         shoulder_lanelets, goal, &closest_shoulder_lanelet)) {
     const auto lane_yaw = lanelet::utils::getLaneletAngle(closest_shoulder_lanelet, goal.position);
     const auto goal_yaw = tf2::getYaw(goal.orientation);
-    const auto angle_diff = tier4_autoware_utils::normalizeRadian(lane_yaw - goal_yaw);
-    const double th_angle = tier4_autoware_utils::deg2rad(param_.goal_angle_threshold_deg);
+    const auto angle_diff = autoware::universe_utils::normalizeRadian(lane_yaw - goal_yaw);
+    const double th_angle = autoware::universe_utils::deg2rad(param_.goal_angle_threshold_deg);
     if (std::abs(angle_diff) < th_angle) {
       return true;
     }
@@ -346,8 +332,8 @@ bool DefaultPlanner::is_goal_valid(
   }
 
   const auto local_vehicle_footprint = vehicle_info_.createFootprint();
-  tier4_autoware_utils::LinearRing2d goal_footprint =
-    transformVector(local_vehicle_footprint, tier4_autoware_utils::pose2transform(goal));
+  autoware::universe_utils::LinearRing2d goal_footprint =
+    transformVector(local_vehicle_footprint, autoware::universe_utils::pose2transform(goal));
   pub_goal_footprint_marker_->publish(visualize_debug_footprint(goal_footprint));
   const auto polygon_footprint = convert_linear_ring_to_polygon(goal_footprint);
 
@@ -371,9 +357,9 @@ bool DefaultPlanner::is_goal_valid(
   if (is_in_lane(closest_lanelet, goal_lanelet_pt)) {
     const auto lane_yaw = lanelet::utils::getLaneletAngle(closest_lanelet, goal.position);
     const auto goal_yaw = tf2::getYaw(goal.orientation);
-    const auto angle_diff = tier4_autoware_utils::normalizeRadian(lane_yaw - goal_yaw);
+    const auto angle_diff = autoware::universe_utils::normalizeRadian(lane_yaw - goal_yaw);
 
-    const double th_angle = tier4_autoware_utils::deg2rad(param_.goal_angle_threshold_deg);
+    const double th_angle = autoware::universe_utils::deg2rad(param_.goal_angle_threshold_deg);
     if (std::abs(angle_diff) < th_angle) {
       return true;
     }
@@ -422,15 +408,14 @@ PlannerPlugin::LaneletRoute DefaultPlanner::plan(const RoutePoints & points)
       RCLCPP_WARN(logger, "Failed to plan route.");
       return route_msg;
     }
+
     for (const auto & lane : path_lanelets) {
+      if (!all_route_lanelets.empty() && lane.id() == all_route_lanelets.back().id()) continue;
       all_route_lanelets.push_back(lane);
     }
-    // create local route sections
-    route_handler_.setRouteLanelets(path_lanelets);
-    const auto local_route_sections = route_handler_.createMapSegments(path_lanelets);
-    route_sections = combine_consecutive_route_sections(route_sections, local_route_sections);
   }
   route_handler_.setRouteLanelets(all_route_lanelets);
+  route_sections = route_handler_.createMapSegments(all_route_lanelets);
 
   auto goal_pose = points.back();
   if (param_.enable_correct_goal_pose) {
diff --git a/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.hpp b/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.hpp
index cf69475e89869..60c2a53b82123 100644
--- a/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.hpp
+++ b/planning/autoware_mission_planner/src/lanelet2_plugins/default_planner.hpp
@@ -15,9 +15,9 @@
 #ifndef LANELET2_PLUGINS__DEFAULT_PLANNER_HPP_
 #define LANELET2_PLUGINS__DEFAULT_PLANNER_HPP_
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/mission_planner/mission_planner_plugin.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <mission_planner/mission_planner_plugin.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
@@ -51,7 +51,8 @@ class DefaultPlanner : public mission_planner::PlannerPlugin
   void updateRoute(const PlannerPlugin::LaneletRoute & route) override;
   void clearRoute() override;
   MarkerArray visualize(const LaneletRoute & route) const override;
-  MarkerArray visualize_debug_footprint(tier4_autoware_utils::LinearRing2d goal_footprint_) const;
+  MarkerArray visualize_debug_footprint(
+    autoware::universe_utils::LinearRing2d goal_footprint_) const;
   autoware::vehicle_info_utils::VehicleInfo vehicle_info_;
 
 private:
@@ -85,7 +86,7 @@ class DefaultPlanner : public mission_planner::PlannerPlugin
   bool check_goal_footprint_inside_lanes(
     const lanelet::ConstLanelet & current_lanelet,
     const lanelet::ConstLanelet & combined_prev_lanelet,
-    const tier4_autoware_utils::Polygon2d & goal_footprint, double & next_lane_length,
+    const autoware::universe_utils::Polygon2d & goal_footprint, double & next_lane_length,
     const double search_margin = 2.0);
 
   /**
diff --git a/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.cpp b/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.cpp
index 1f3b2077cc5eb..5046b81c72b96 100644
--- a/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.cpp
+++ b/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.cpp
@@ -21,10 +21,10 @@
 #include <unordered_set>
 #include <utility>
 
-tier4_autoware_utils::Polygon2d convert_linear_ring_to_polygon(
-  tier4_autoware_utils::LinearRing2d footprint)
+autoware::universe_utils::Polygon2d convert_linear_ring_to_polygon(
+  autoware::universe_utils::LinearRing2d footprint)
 {
-  tier4_autoware_utils::Polygon2d footprint_polygon;
+  autoware::universe_utils::Polygon2d footprint_polygon;
   boost::geometry::append(footprint_polygon.outer(), footprint[0]);
   boost::geometry::append(footprint_polygon.outer(), footprint[1]);
   boost::geometry::append(footprint_polygon.outer(), footprint[2]);
@@ -120,7 +120,7 @@ geometry_msgs::msg::Pose convertBasicPoint3dToPose(
   pose.position.y = point.y();
   pose.position.z = point.z();
 
-  pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(lane_yaw);
+  pose.orientation = autoware::universe_utils::createQuaternionFromYaw(lane_yaw);
 
   return pose;
 }
diff --git a/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.hpp b/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.hpp
index c3bed03ac6512..c8812e2c76dd6 100644
--- a/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.hpp
+++ b/planning/autoware_mission_planner/src/lanelet2_plugins/utility_functions.hpp
@@ -15,10 +15,10 @@
 #ifndef LANELET2_PLUGINS__UTILITY_FUNCTIONS_HPP_
 #define LANELET2_PLUGINS__UTILITY_FUNCTIONS_HPP_
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 #include <std_msgs/msg/color_rgba.hpp>
@@ -42,8 +42,8 @@ bool exists(const std::vector<T> & vectors, const T & item)
   return false;
 }
 
-tier4_autoware_utils::Polygon2d convert_linear_ring_to_polygon(
-  tier4_autoware_utils::LinearRing2d footprint);
+autoware::universe_utils::Polygon2d convert_linear_ring_to_polygon(
+  autoware::universe_utils::LinearRing2d footprint);
 void insert_marker_array(
   visualization_msgs::msg::MarkerArray * a1, const visualization_msgs::msg::MarkerArray & a2);
 
diff --git a/planning/autoware_mission_planner/src/mission_planner/arrival_checker.cpp b/planning/autoware_mission_planner/src/mission_planner/arrival_checker.cpp
index 54285bd1491f9..da14712dd6c64 100644
--- a/planning/autoware_mission_planner/src/mission_planner/arrival_checker.cpp
+++ b/planning/autoware_mission_planner/src/mission_planner/arrival_checker.cpp
@@ -14,9 +14,9 @@
 
 #include "arrival_checker.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <tf2/utils.h>
 
@@ -26,7 +26,7 @@ namespace autoware::mission_planner
 ArrivalChecker::ArrivalChecker(rclcpp::Node * node) : vehicle_stop_checker_(node)
 {
   const double angle_deg = node->declare_parameter<double>("arrival_check_angle_deg");
-  angle_ = tier4_autoware_utils::deg2rad(angle_deg);
+  angle_ = autoware::universe_utils::deg2rad(angle_deg);
   distance_ = node->declare_parameter<double>("arrival_check_distance");
   duration_ = node->declare_parameter<double>("arrival_check_duration");
 }
@@ -67,14 +67,14 @@ bool ArrivalChecker::is_arrived(const PoseStamped & pose) const
   }
 
   // Check distance.
-  if (distance_ < tier4_autoware_utils::calcDistance2d(pose.pose, goal.pose)) {
+  if (distance_ < autoware::universe_utils::calcDistance2d(pose.pose, goal.pose)) {
     return false;
   }
 
   // Check angle.
   const double yaw_pose = tf2::getYaw(pose.pose.orientation);
   const double yaw_goal = tf2::getYaw(goal.pose.orientation);
-  const double yaw_diff = tier4_autoware_utils::normalizeRadian(yaw_pose - yaw_goal);
+  const double yaw_diff = autoware::universe_utils::normalizeRadian(yaw_pose - yaw_goal);
   if (angle_ < std::fabs(yaw_diff)) {
     return false;
   }
diff --git a/planning/autoware_mission_planner/src/mission_planner/arrival_checker.hpp b/planning/autoware_mission_planner/src/mission_planner/arrival_checker.hpp
index 55790702d5ef1..708b3de40bdab 100644
--- a/planning/autoware_mission_planner/src/mission_planner/arrival_checker.hpp
+++ b/planning/autoware_mission_planner/src/mission_planner/arrival_checker.hpp
@@ -15,7 +15,7 @@
 #ifndef MISSION_PLANNER__ARRIVAL_CHECKER_HPP_
 #define MISSION_PLANNER__ARRIVAL_CHECKER_HPP_
 
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_planning_msgs/msg/pose_with_uuid_stamped.hpp>
@@ -42,7 +42,7 @@ class ArrivalChecker
   double duration_;
   std::optional<PoseWithUuidStamped> goal_with_uuid_;
   rclcpp::Subscription<PoseWithUuidStamped>::SharedPtr sub_goal_;
-  motion_utils::VehicleStopChecker vehicle_stop_checker_;
+  autoware::motion_utils::VehicleStopChecker vehicle_stop_checker_;
 };
 
 }  // namespace autoware::mission_planner
diff --git a/planning/autoware_mission_planner/src/mission_planner/mission_planner.cpp b/planning/autoware_mission_planner/src/mission_planner/mission_planner.cpp
index 52f6e4ca191f5..e484b9915aa87 100644
--- a/planning/autoware_mission_planner/src/mission_planner/mission_planner.cpp
+++ b/planning/autoware_mission_planner/src/mission_planner/mission_planner.cpp
@@ -52,18 +52,11 @@ MissionPlanner::MissionPlanner(const rclcpp::NodeOptions & options)
     plugin_loader_.createSharedInstance("autoware::mission_planner::lanelet2::DefaultPlanner");
   planner_->initialize(this);
 
-  const auto reroute_availability = std::make_shared<RerouteAvailability>();
-  reroute_availability->availability = false;
-  reroute_availability_ = reroute_availability;
-
   const auto durable_qos = rclcpp::QoS(1).transient_local();
   sub_odometry_ = create_subscription<Odometry>(
     "~/input/odometry", rclcpp::QoS(1), std::bind(&MissionPlanner::on_odometry, this, _1));
   sub_vector_map_ = create_subscription<LaneletMapBin>(
     "~/input/vector_map", durable_qos, std::bind(&MissionPlanner::on_map, this, _1));
-  sub_reroute_availability_ = create_subscription<RerouteAvailability>(
-    "~/input/reroute_availability", rclcpp::QoS(1),
-    std::bind(&MissionPlanner::on_reroute_availability, this, _1));
   pub_marker_ = create_publisher<MarkerArray>("~/debug/route_marker", durable_qos);
 
   // NOTE: The route interface should be mutually exclusive by callback group.
@@ -85,7 +78,7 @@ MissionPlanner::MissionPlanner(const rclcpp::NodeOptions & options)
   const auto period = rclcpp::Rate(10).period();
   data_check_timer_ = create_wall_timer(period, [this] { check_initialization(); });
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 void MissionPlanner::publish_pose_log(const Pose & pose, const std::string & pose_type)
@@ -137,11 +130,6 @@ void MissionPlanner::on_odometry(const Odometry::ConstSharedPtr msg)
   }
 }
 
-void MissionPlanner::on_reroute_availability(const RerouteAvailability::ConstSharedPtr msg)
-{
-  reroute_availability_ = msg;
-}
-
 void MissionPlanner::on_map(const LaneletMapBin::ConstSharedPtr msg)
 {
   map_ptr_ = msg;
@@ -234,7 +222,8 @@ void MissionPlanner::on_set_lanelet_route(
     throw service_utils::ServiceException(
       ResponseCode::ERROR_PLANNER_UNREADY, "The vehicle pose is not received.");
   }
-  if (is_reroute && !reroute_availability_->availability) {
+  const auto reroute_availability = sub_reroute_availability_.takeData();
+  if (is_reroute && (!reroute_availability || !reroute_availability->availability)) {
     throw service_utils::ServiceException(
       ResponseCode::ERROR_INVALID_STATE, "Cannot reroute as the planner is not in lane following.");
   }
@@ -282,7 +271,8 @@ void MissionPlanner::on_set_waypoint_route(
     throw service_utils::ServiceException(
       ResponseCode::ERROR_PLANNER_UNREADY, "The vehicle pose is not received.");
   }
-  if (is_reroute && !reroute_availability_->availability) {
+  const auto reroute_availability = sub_reroute_availability_.takeData();
+  if (is_reroute && (!reroute_availability || !reroute_availability->availability)) {
     throw service_utils::ServiceException(
       ResponseCode::ERROR_INVALID_STATE, "Cannot reroute as the planner is not in lane following.");
   }
diff --git a/planning/autoware_mission_planner/src/mission_planner/mission_planner.hpp b/planning/autoware_mission_planner/src/mission_planner/mission_planner.hpp
index 9f3dc7d98c41c..1a04a91c14ba3 100644
--- a/planning/autoware_mission_planner/src/mission_planner/mission_planner.hpp
+++ b/planning/autoware_mission_planner/src/mission_planner/mission_planner.hpp
@@ -16,12 +16,13 @@
 #define MISSION_PLANNER__MISSION_PLANNER_HPP_
 
 #include "arrival_checker.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
-#include <mission_planner/mission_planner_plugin.hpp>
+#include <autoware/mission_planner/mission_planner_plugin.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
 #include <pluginlib/class_loader.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
 
 #include <autoware_adapi_v1_msgs/srv/set_route.hpp>
 #include <autoware_adapi_v1_msgs/srv/set_route_points.hpp>
@@ -84,13 +85,13 @@ class MissionPlanner : public rclcpp::Node
 
   rclcpp::Subscription<PoseWithUuidStamped>::SharedPtr sub_modified_goal_;
   rclcpp::Subscription<Odometry>::SharedPtr sub_odometry_;
+  autoware::universe_utils::InterProcessPollingSubscriber<RerouteAvailability>
+    sub_reroute_availability_{this, "~/input/reroute_availability"};
+
   rclcpp::Subscription<LaneletMapBin>::SharedPtr sub_vector_map_;
-  rclcpp::Subscription<RerouteAvailability>::SharedPtr sub_reroute_availability_;
   rclcpp::Publisher<MarkerArray>::SharedPtr pub_marker_;
-
   Odometry::ConstSharedPtr odometry_;
   LaneletMapBin::ConstSharedPtr map_ptr_;
-  RerouteAvailability::ConstSharedPtr reroute_availability_;
   RouteState state_;
   LaneletRoute::ConstSharedPtr current_route_;
   lanelet::LaneletMapPtr lanelet_map_ptr_{nullptr};
@@ -131,7 +132,7 @@ class MissionPlanner : public rclcpp::Node
   double minimum_reroute_length_;
   bool check_reroute_safety(const LaneletRoute & original_route, const LaneletRoute & target_route);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 };
 
 }  // namespace autoware::mission_planner
diff --git a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/coloring.hpp b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/coloring.hpp
similarity index 74%
rename from planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/coloring.hpp
rename to planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/coloring.hpp
index 77e0e5db2f157..e228b34cb9f5d 100644
--- a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/coloring.hpp
+++ b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/coloring.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
-#define AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
-#include "autoware_objects_of_interest_marker_interface/marker_data.hpp"
+#ifndef AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
+#define AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
+#include "autoware/objects_of_interest_marker_interface/marker_data.hpp"
 
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <std_msgs/msg/color_rgba.hpp>
 
@@ -28,4 +28,4 @@ std_msgs::msg::ColorRGBA getRed(const float alpha);
 std_msgs::msg::ColorRGBA getGray(const float alpha);
 }  // namespace autoware::objects_of_interest_marker_interface::coloring
 
-#endif  // AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
+#endif  // AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__COLORING_HPP_
diff --git a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_data.hpp b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_data.hpp
similarity index 82%
rename from planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_data.hpp
rename to planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_data.hpp
index 1ce530343172e..53a5cb091d1ea 100644
--- a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_data.hpp
+++ b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_data.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
-#define AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
+#ifndef AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
+#define AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <geometry_msgs/msg/pose.hpp>
@@ -31,4 +31,4 @@ struct ObjectMarkerData
 enum class ColorName { GRAY, GREEN, AMBER, RED };
 }  // namespace autoware::objects_of_interest_marker_interface
 
-#endif  // AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
+#endif  // AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_DATA_HPP_
diff --git a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_utils.hpp b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_utils.hpp
similarity index 81%
rename from planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_utils.hpp
rename to planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_utils.hpp
index 5c41e7d33e8b2..ace32e91287a4 100644
--- a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/marker_utils.hpp
+++ b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/marker_utils.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
-#define AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
-#include "autoware_objects_of_interest_marker_interface/coloring.hpp"
-#include "autoware_objects_of_interest_marker_interface/marker_data.hpp"
+#ifndef AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
+#define AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
+#include "autoware/objects_of_interest_marker_interface/coloring.hpp"
+#include "autoware/objects_of_interest_marker_interface/marker_data.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
-#include <tier4_autoware_utils/math/trigonometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
+#include <autoware/universe_utils/math/trigonometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <geometry_msgs/msg/pose.hpp>
@@ -83,4 +83,4 @@ visualization_msgs::msg::MarkerArray createTargetMarker(
   const double height_offset, const double arrow_length = 1.0, const double line_width = 0.1);
 }  // namespace autoware::objects_of_interest_marker_interface::marker_utils
 
-#endif  // AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
+#endif  // AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__MARKER_UTILS_HPP_
diff --git a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp
similarity index 85%
rename from planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp
rename to planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp
index dfb62198e1607..619df5f719df9 100644
--- a/planning/autoware_objects_of_interest_marker_interface/include/autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp
+++ b/planning/autoware_objects_of_interest_marker_interface/include/autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
-#define AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
-#include "autoware_objects_of_interest_marker_interface/coloring.hpp"
-#include "autoware_objects_of_interest_marker_interface/marker_data.hpp"
-#include "autoware_objects_of_interest_marker_interface/marker_utils.hpp"
+#ifndef AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
+#define AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
+#include "autoware/objects_of_interest_marker_interface/coloring.hpp"
+#include "autoware/objects_of_interest_marker_interface/marker_data.hpp"
+#include "autoware/objects_of_interest_marker_interface/marker_utils.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -100,4 +100,4 @@ class ObjectsOfInterestMarkerInterface
 
 }  // namespace autoware::objects_of_interest_marker_interface
 
-#endif  // AUTOWARE_OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
+#endif  // AUTOWARE__OBJECTS_OF_INTEREST_MARKER_INTERFACE__OBJECTS_OF_INTEREST_MARKER_INTERFACE_HPP_
diff --git a/planning/autoware_objects_of_interest_marker_interface/package.xml b/planning/autoware_objects_of_interest_marker_interface/package.xml
index a7701d159e824..8b62865ddace5 100644
--- a/planning/autoware_objects_of_interest_marker_interface/package.xml
+++ b/planning/autoware_objects_of_interest_marker_interface/package.xml
@@ -15,10 +15,10 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>rclcpp</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_objects_of_interest_marker_interface/src/coloring.cpp b/planning/autoware_objects_of_interest_marker_interface/src/coloring.cpp
index 6bea6b577a61e..038006517f45a 100644
--- a/planning/autoware_objects_of_interest_marker_interface/src/coloring.cpp
+++ b/planning/autoware_objects_of_interest_marker_interface/src/coloring.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_objects_of_interest_marker_interface/coloring.hpp"
+#include "autoware/objects_of_interest_marker_interface/coloring.hpp"
 
 namespace
 {
@@ -22,7 +22,7 @@ std_msgs::msg::ColorRGBA convertFromColorCode(const uint64_t code, const float a
   const float g = static_cast<int>((code << 48) >> 56) / 255.0;
   const float b = static_cast<int>((code << 56) >> 56) / 255.0;
 
-  return tier4_autoware_utils::createMarkerColor(r, g, b, alpha);
+  return autoware::universe_utils::createMarkerColor(r, g, b, alpha);
 }
 }  // namespace
 
diff --git a/planning/autoware_objects_of_interest_marker_interface/src/marker_utils.cpp b/planning/autoware_objects_of_interest_marker_interface/src/marker_utils.cpp
index 8c9478ab97a99..42d92bd0c91da 100644
--- a/planning/autoware_objects_of_interest_marker_interface/src/marker_utils.cpp
+++ b/planning/autoware_objects_of_interest_marker_interface/src/marker_utils.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_objects_of_interest_marker_interface/marker_utils.hpp"
+#include "autoware/objects_of_interest_marker_interface/marker_utils.hpp"
 
 namespace autoware::objects_of_interest_marker_interface::marker_utils
 {
@@ -20,8 +20,8 @@ using geometry_msgs::msg::Point;
 
 using std_msgs::msg::ColorRGBA;
 
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerScale;
 
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
@@ -66,9 +66,9 @@ Marker createCircleMarker(
   for (size_t i = 0; i < num_points; ++i) {
     Point point;
     const double ratio = static_cast<double>(i) / static_cast<double>(num_points);
-    const double theta = 2 * tier4_autoware_utils::pi * ratio;
-    point.x = data.pose.position.x + radius * tier4_autoware_utils::cos(theta);
-    point.y = data.pose.position.y + radius * tier4_autoware_utils::sin(theta);
+    const double theta = 2 * autoware::universe_utils::pi * ratio;
+    point.x = data.pose.position.x + radius * autoware::universe_utils::cos(theta);
+    point.y = data.pose.position.y + radius * autoware::universe_utils::sin(theta);
     point.z = data.pose.position.z + height + height_offset;
     marker.points.push_back(point);
   }
diff --git a/planning/autoware_objects_of_interest_marker_interface/src/objects_of_interest_marker_interface.cpp b/planning/autoware_objects_of_interest_marker_interface/src/objects_of_interest_marker_interface.cpp
index 42fea55a46cf2..253d2ec05c246 100644
--- a/planning/autoware_objects_of_interest_marker_interface/src/objects_of_interest_marker_interface.cpp
+++ b/planning/autoware_objects_of_interest_marker_interface/src/objects_of_interest_marker_interface.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp"
+#include "autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
-#include <tier4_autoware_utils/math/trigonometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
+#include <autoware/universe_utils/math/trigonometry.hpp>
 
 namespace autoware::objects_of_interest_marker_interface
 {
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/common_structs.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/common_structs.hpp
similarity index 79%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/common_structs.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/common_structs.hpp
index 9b5c277589e67..e4ae670ef6b97 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/common_structs.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/common_structs.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
 
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/ros/uuid_helper.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/interpolation.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/ros/uuid_helper.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -63,7 +63,7 @@ struct Obstacle
     twist(object.kinematics.initial_twist_with_covariance.twist),
     twist_reliable(true),
     classification(object.classification.at(0)),
-    uuid(tier4_autoware_utils::toHexString(object.object_id)),
+    uuid(autoware::universe_utils::toHexString(object.object_id)),
     shape(object.shape),
     ego_to_obstacle_distance(ego_to_obstacle_distance),
     lat_dist_from_obstacle_to_traj(lat_dist_from_obstacle_to_traj)
@@ -74,7 +74,7 @@ struct Obstacle
     }
   }
 
-  Polygon2d toPolygon() const { return tier4_autoware_utils::toPolygon2d(pose, shape); }
+  Polygon2d toPolygon() const { return autoware::universe_utils::toPolygon2d(pose, shape); }
 
   rclcpp::Time stamp;  // This is not the current stamp, but when the object was observed.
   geometry_msgs::msg::Pose pose;  // interpolated with the current stamp
@@ -198,33 +198,33 @@ struct LongitudinalInfo
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    tier4_autoware_utils::updateParam<double>(parameters, "normal.max_accel", max_accel);
-    tier4_autoware_utils::updateParam<double>(parameters, "normal.min_accel", min_accel);
-    tier4_autoware_utils::updateParam<double>(parameters, "normal.max_jerk", max_jerk);
-    tier4_autoware_utils::updateParam<double>(parameters, "normal.min_jerk", min_jerk);
-    tier4_autoware_utils::updateParam<double>(parameters, "limit.max_accel", limit_max_accel);
-    tier4_autoware_utils::updateParam<double>(parameters, "limit.min_accel", limit_min_accel);
-    tier4_autoware_utils::updateParam<double>(parameters, "limit.max_jerk", limit_max_jerk);
-    tier4_autoware_utils::updateParam<double>(parameters, "limit.min_jerk", limit_min_jerk);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(parameters, "normal.max_accel", max_accel);
+    autoware::universe_utils::updateParam<double>(parameters, "normal.min_accel", min_accel);
+    autoware::universe_utils::updateParam<double>(parameters, "normal.max_jerk", max_jerk);
+    autoware::universe_utils::updateParam<double>(parameters, "normal.min_jerk", min_jerk);
+    autoware::universe_utils::updateParam<double>(parameters, "limit.max_accel", limit_max_accel);
+    autoware::universe_utils::updateParam<double>(parameters, "limit.min_accel", limit_min_accel);
+    autoware::universe_utils::updateParam<double>(parameters, "limit.max_jerk", limit_max_jerk);
+    autoware::universe_utils::updateParam<double>(parameters, "limit.min_jerk", limit_min_jerk);
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.slow_down_min_accel", slow_down_min_accel);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.slow_down_min_jerk", slow_down_min_jerk);
 
-    tier4_autoware_utils::updateParam<double>(parameters, "common.idling_time", idling_time);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(parameters, "common.idling_time", idling_time);
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.min_ego_accel_for_rss", min_ego_accel_for_rss);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.min_object_accel_for_rss", min_object_accel_for_rss);
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.safe_distance_margin", safe_distance_margin);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.terminal_safe_distance_margin", terminal_safe_distance_margin);
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.hold_stop_velocity_threshold", hold_stop_velocity_threshold);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "common.hold_stop_distance_threshold", hold_stop_distance_threshold);
   }
 
@@ -265,7 +265,7 @@ struct DebugData
   MarkerArray stop_wall_marker;
   MarkerArray cruise_wall_marker;
   MarkerArray slow_down_wall_marker;
-  std::vector<tier4_autoware_utils::Polygon2d> detection_polygons;
+  std::vector<autoware::universe_utils::Polygon2d> detection_polygons;
 };
 
 struct EgoNearestParam
@@ -280,21 +280,22 @@ struct EgoNearestParam
   TrajectoryPoint calcInterpolatedPoint(
     const std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & pose) const
   {
-    return motion_utils::calcInterpolatedPoint(
-      motion_utils::convertToTrajectory(traj_points), pose, dist_threshold, yaw_threshold);
+    return autoware::motion_utils::calcInterpolatedPoint(
+      autoware::motion_utils::convertToTrajectory(traj_points), pose, dist_threshold,
+      yaw_threshold);
   }
 
   size_t findIndex(
     const std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & pose) const
   {
-    return motion_utils::findFirstNearestIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
       traj_points, pose, dist_threshold, yaw_threshold);
   }
 
   size_t findSegmentIndex(
     const std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & pose) const
   {
-    return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
       traj_points, pose, dist_threshold, yaw_threshold);
   }
 
@@ -302,4 +303,4 @@ struct EgoNearestParam
   double yaw_threshold;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__COMMON_STRUCTS_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/node.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/node.hpp
similarity index 90%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/node.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/node.hpp
index dcea7e1dc257b..dd9a6c3880672 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/node.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/node.hpp
@@ -12,20 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__NODE_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__NODE_HPP_
-
-#include "autoware_obstacle_cruise_planner/common_structs.hpp"
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp"
-#include "autoware_obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp"
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__NODE_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__NODE_HPP_
+
+#include "autoware/obstacle_cruise_planner/common_structs.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp"
+#include "autoware/obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "signal_processing/lowpass_filter_1d.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -145,11 +145,11 @@ class ObstacleCruisePlannerNode : public rclcpp::Node
 
   // subscriber
   rclcpp::Subscription<Trajectory>::SharedPtr traj_sub_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> ego_odom_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> ego_odom_sub_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<PredictedObjects> objects_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<PredictedObjects> objects_sub_{
     this, "~/input/objects"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped> acc_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped> acc_sub_{
     this, "~/input/acceleration"};
 
   // Vehicle Parameters
@@ -161,7 +161,7 @@ class ObstacleCruisePlannerNode : public rclcpp::Node
   PlanningAlgorithm planning_algorithm_;
 
   // stop watch
-  mutable tier4_autoware_utils::StopWatch<
+  mutable autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
   mutable std::shared_ptr<DebugData> debug_data_ptr_{nullptr};
@@ -274,10 +274,10 @@ class ObstacleCruisePlannerNode : public rclcpp::Node
 
   std::vector<StopObstacle> prev_closest_stop_obstacles_{};
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::motion_planning
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__NODE_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__NODE_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp
similarity index 88%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp
index db807608caca4..f08ff8fef369c 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
 
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp"
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp"
-#include "autoware_obstacle_cruise_planner/planner_interface.hpp"
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp"
+#include "autoware/obstacle_cruise_planner/planner_interface.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
@@ -118,5 +118,5 @@ class OptimizationBasedPlanner : public PlannerInterface
   double stop_dist_to_prohibit_engage_;
 };
 // clang-format off
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__OPTIMIZATION_BASED_PLANNER_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp
similarity index 78%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp
index d033e4e35aef0..4224f35fbc6e1 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp
@@ -11,8 +11,8 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
 
 #include <limits>
 #include <vector>
@@ -30,4 +30,4 @@ class SBoundary
 
 using SBoundaries = std::vector<SBoundary>;
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__S_BOUNDARY_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp
similarity index 84%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp
index 49cf96ce81e0b..a2ac86ee6c86b 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp
@@ -11,10 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
 
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/s_boundary.hpp"
 #include "osqp_interface/osqp_interface.hpp"
 
 #include <vector>
@@ -72,4 +72,4 @@ class VelocityOptimizer
   autoware::common::osqp::OSQPInterface qp_solver_;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__OPTIMIZATION_BASED_PLANNER__VELOCITY_OPTIMIZER_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp
similarity index 90%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp
index 98679b5cbb515..f2269aeaa2967 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -94,4 +94,4 @@ class CruisePlanningDebugInfo
   std::array<double, static_cast<int>(TYPE::SIZE)> info_;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__CRUISE_PLANNING_DEBUG_INFO_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp
similarity index 91%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp
index 5fac88e909764..c048c3278e2ec 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
 
-#include "autoware_obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp"
-#include "autoware_obstacle_cruise_planner/pid_based_planner/pid_controller.hpp"
-#include "autoware_obstacle_cruise_planner/planner_interface.hpp"
+#include "autoware/obstacle_cruise_planner/pid_based_planner/cruise_planning_debug_info.hpp"
+#include "autoware/obstacle_cruise_planner/pid_based_planner/pid_controller.hpp"
+#include "autoware/obstacle_cruise_planner/planner_interface.hpp"
 #include "signal_processing/lowpass_filter_1d.hpp"
 
 #include "visualization_msgs/msg/marker_array.hpp"
@@ -137,4 +137,4 @@ class PIDBasedPlanner : public PlannerInterface
   std::function<double(double)> error_func_;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_BASED_PLANNER_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_controller.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_controller.hpp
similarity index 85%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_controller.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_controller.hpp
index f8f7a483df2a1..c5d93b30fa6e0 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/pid_based_planner/pid_controller.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/pid_based_planner/pid_controller.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
 
 #include <optional>
 
@@ -59,4 +59,4 @@ class PIDController
   std::optional<double> prev_error_;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__PID_BASED_PLANNER__PID_CONTROLLER_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/planner_interface.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/planner_interface.hpp
similarity index 92%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/planner_interface.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/planner_interface.hpp
index 2685b3d061ff1..0641d076bb3ff 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/planner_interface.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/planner_interface.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
 
-#include "autoware_obstacle_cruise_planner/common_structs.hpp"
-#include "autoware_obstacle_cruise_planner/stop_planning_debug_info.hpp"
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
-#include "autoware_obstacle_cruise_planner/utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/obstacle_cruise_planner/common_structs.hpp"
+#include "autoware/obstacle_cruise_planner/stop_planning_debug_info.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/obstacle_cruise_planner/utils.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -125,7 +125,7 @@ class PlannerInterface
   bool suppress_sudden_obstacle_stop_;
 
   // stop watch
-  tier4_autoware_utils::StopWatch<
+  autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
 
@@ -172,7 +172,7 @@ class PlannerInterface
     const geometry_msgs::msg::Pose & ego_pose) const
   {
     const auto & p = ego_nearest_param_;
-    return motion_utils::findFirstNearestIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
       traj_points, ego_pose, p.dist_threshold, p.yaw_threshold);
   }
 
@@ -181,7 +181,7 @@ class PlannerInterface
     const geometry_msgs::msg::Pose & ego_pose) const
   {
     const auto & p = ego_nearest_param_;
-    return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
       traj_points, ego_pose, p.dist_threshold, p.yaw_threshold);
   }
 
@@ -303,29 +303,29 @@ class PlannerInterface
           if (obstacle_to_param_struct_map.count(label + "." + movement_postfix) < 1) continue;
           auto & param_by_obstacle_label =
             obstacle_to_param_struct_map.at(label + "." + movement_postfix);
-          tier4_autoware_utils::updateParam<double>(
+          autoware::universe_utils::updateParam<double>(
             parameters, "slow_down." + label + "." + movement_postfix + ".max_lat_margin",
             param_by_obstacle_label.max_lat_margin);
-          tier4_autoware_utils::updateParam<double>(
+          autoware::universe_utils::updateParam<double>(
             parameters, "slow_down." + label + "." + movement_postfix + ".min_lat_margin",
             param_by_obstacle_label.min_lat_margin);
-          tier4_autoware_utils::updateParam<double>(
+          autoware::universe_utils::updateParam<double>(
             parameters, "slow_down." + label + "." + movement_postfix + ".max_ego_velocity",
             param_by_obstacle_label.max_ego_velocity);
-          tier4_autoware_utils::updateParam<double>(
+          autoware::universe_utils::updateParam<double>(
             parameters, "slow_down." + label + "." + movement_postfix + ".min_ego_velocity",
             param_by_obstacle_label.min_ego_velocity);
         }
       }
 
       // common parameters
-      tier4_autoware_utils::updateParam<double>(
+      autoware::universe_utils::updateParam<double>(
         parameters, "slow_down.time_margin_on_target_velocity", time_margin_on_target_velocity);
-      tier4_autoware_utils::updateParam<double>(
+      autoware::universe_utils::updateParam<double>(
         parameters, "slow_down.lpf_gain_slow_down_vel", lpf_gain_slow_down_vel);
-      tier4_autoware_utils::updateParam<double>(
+      autoware::universe_utils::updateParam<double>(
         parameters, "slow_down.lpf_gain_lat_dist", lpf_gain_lat_dist);
-      tier4_autoware_utils::updateParam<double>(
+      autoware::universe_utils::updateParam<double>(
         parameters, "slow_down.lpf_gain_dist_to_slow_down", lpf_gain_dist_to_slow_down);
     }
 
@@ -385,15 +385,15 @@ class PlannerInterface
         if (type_str == "default") {
           continue;
         }
-        tier4_autoware_utils::updateParam<double>(
+        autoware::universe_utils::updateParam<double>(
           parameters, param_prefix + type_str + ".limit_min_acc", param.limit_min_acc);
-        tier4_autoware_utils::updateParam<double>(
+        autoware::universe_utils::updateParam<double>(
           parameters, param_prefix + type_str + ".sudden_object_acc_threshold",
           param.sudden_object_acc_threshold);
-        tier4_autoware_utils::updateParam<double>(
+        autoware::universe_utils::updateParam<double>(
           parameters, param_prefix + type_str + ".sudden_object_dist_threshold",
           param.sudden_object_dist_threshold);
-        tier4_autoware_utils::updateParam<bool>(
+        autoware::universe_utils::updateParam<bool>(
           parameters, param_prefix + type_str + ".abandon_to_stop", param.abandon_to_stop);
 
         param.sudden_object_acc_threshold =
@@ -425,4 +425,4 @@ class PlannerInterface
     std::nullopt};
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__PLANNER_INTERFACE_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/polygon_utils.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/polygon_utils.hpp
similarity index 80%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/polygon_utils.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/polygon_utils.hpp
index 621e4decbbf1e..fa6ee17d117be 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/polygon_utils.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/polygon_utils.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
 
-#include "autoware_obstacle_cruise_planner/common_structs.hpp"
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/obstacle_cruise_planner/common_structs.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
 
 #include <boost/geometry.hpp>
 
@@ -30,8 +30,8 @@
 namespace polygon_utils
 {
 namespace bg = boost::geometry;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
 Polygon2d createOneStepPolygon(
   const std::vector<geometry_msgs::msg::Pose> & last_poses,
@@ -52,4 +52,4 @@ std::vector<PointWithStamp> getCollisionPoints(
 
 }  // namespace polygon_utils
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__POLYGON_UTILS_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/stop_planning_debug_info.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/stop_planning_debug_info.hpp
similarity index 91%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/stop_planning_debug_info.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/stop_planning_debug_info.hpp
index 7167ddbdf6ad1..ef4f5d0eba808 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/stop_planning_debug_info.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/stop_planning_debug_info.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -85,4 +85,4 @@ class StopPlanningDebugInfo
   std::array<double, static_cast<int>(TYPE::SIZE)> info_;
 };
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__STOP_PLANNING_DEBUG_INFO_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/type_alias.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/type_alias.hpp
similarity index 91%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/type_alias.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/type_alias.hpp
index 7b435acb5f13e..5721efd051f63 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/type_alias.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/type_alias.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
 
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 
@@ -60,7 +60,7 @@ using tier4_planning_msgs::msg::VelocityLimitClearCommand;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
 namespace bg = boost::geometry;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__TYPE_ALIAS_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/utils.hpp b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/utils.hpp
similarity index 85%
rename from planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/utils.hpp
rename to planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/utils.hpp
index 3b8093aea76a1..8af9a63f3a1fa 100644
--- a/planning/autoware_obstacle_cruise_planner/include/autoware_obstacle_cruise_planner/utils.hpp
+++ b/planning/autoware_obstacle_cruise_planner/include/autoware/obstacle_cruise_planner/utils.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
-#define AUTOWARE_OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
+#ifndef AUTOWARE__OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
+#define AUTOWARE__OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
 
-#include "autoware_obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/obstacle_cruise_planner/type_alias.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "common_structs.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -62,7 +62,7 @@ size_t getIndexWithLongitudinalOffset(
   if (longitudinal_offset > 0) {
     for (size_t i = *start_idx; i < points.size() - 1; ++i) {
       const double segment_length =
-        tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i + 1));
+        autoware::universe_utils::calcDistance2d(points.at(i), points.at(i + 1));
       sum_length += segment_length;
       if (sum_length >= longitudinal_offset) {
         const double back_length = sum_length - longitudinal_offset;
@@ -79,7 +79,7 @@ size_t getIndexWithLongitudinalOffset(
 
   for (size_t i = *start_idx; 0 < i; --i) {
     const double segment_length =
-      tier4_autoware_utils::calcDistance2d(points.at(i - 1), points.at(i));
+      autoware::universe_utils::calcDistance2d(points.at(i - 1), points.at(i));
     sum_length += segment_length;
     if (sum_length >= -longitudinal_offset) {
       const double back_length = sum_length + longitudinal_offset;
@@ -95,4 +95,4 @@ size_t getIndexWithLongitudinalOffset(
 }
 }  // namespace obstacle_cruise_utils
 
-#endif  // AUTOWARE_OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
+#endif  // AUTOWARE__OBSTACLE_CRUISE_PLANNER__UTILS_HPP_
diff --git a/planning/autoware_obstacle_cruise_planner/package.xml b/planning/autoware_obstacle_cruise_planner/package.xml
index 2d3a96abfd81d..6055327a906e1 100644
--- a/planning/autoware_obstacle_cruise_planner/package.xml
+++ b/planning/autoware_obstacle_cruise_planner/package.xml
@@ -18,14 +18,15 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_adapi_v1_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>object_recognition_utils</depend>
   <depend>osqp_interface</depend>
@@ -35,7 +36,6 @@
   <depend>std_msgs</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_obstacle_cruise_planner/src/node.cpp b/planning/autoware_obstacle_cruise_planner/src/node.cpp
index 18ea1243d9101..f6e7c2bb43b38 100644
--- a/planning/autoware_obstacle_cruise_planner/src/node.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/node.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/node.hpp"
-
-#include "autoware_obstacle_cruise_planner/polygon_utils.hpp"
-#include "autoware_obstacle_cruise_planner/utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/obstacle_cruise_planner/node.hpp"
+
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/obstacle_cruise_planner/polygon_utils.hpp"
+#include "autoware/obstacle_cruise_planner/utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
 #include <boost/format.hpp>
 
@@ -58,9 +58,9 @@ std::optional<double> calcDistanceToFrontVehicle(
   const std::vector<TrajectoryPoint> & traj_points, const size_t ego_idx,
   const geometry_msgs::msg::Point & obstacle_pos)
 {
-  const size_t obstacle_idx = motion_utils::findNearestIndex(traj_points, obstacle_pos);
+  const size_t obstacle_idx = autoware::motion_utils::findNearestIndex(traj_points, obstacle_pos);
   const auto ego_to_obstacle_distance =
-    motion_utils::calcSignedArcLength(traj_points, ego_idx, obstacle_idx);
+    autoware::motion_utils::calcSignedArcLength(traj_points, ego_idx, obstacle_idx);
   if (ego_to_obstacle_distance < 0.0) return std::nullopt;
   return ego_to_obstacle_distance;
 }
@@ -82,19 +82,21 @@ PredictedPath resampleHighestConfidencePredictedPath(
 double calcDiffAngleAgainstTrajectory(
   const std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & target_pose)
 {
-  const size_t nearest_idx = motion_utils::findNearestIndex(traj_points, target_pose.position);
+  const size_t nearest_idx =
+    autoware::motion_utils::findNearestIndex(traj_points, target_pose.position);
   const double traj_yaw = tf2::getYaw(traj_points.at(nearest_idx).pose.orientation);
 
   const double target_yaw = tf2::getYaw(target_pose.orientation);
 
-  const double diff_yaw = tier4_autoware_utils::normalizeRadian(target_yaw - traj_yaw);
+  const double diff_yaw = autoware::universe_utils::normalizeRadian(target_yaw - traj_yaw);
   return diff_yaw;
 }
 
 std::pair<double, double> projectObstacleVelocityToTrajectory(
   const std::vector<TrajectoryPoint> & traj_points, const Obstacle & obstacle)
 {
-  const size_t object_idx = motion_utils::findNearestIndex(traj_points, obstacle.pose.position);
+  const size_t object_idx =
+    autoware::motion_utils::findNearestIndex(traj_points, obstacle.pose.position);
   const double traj_yaw = tf2::getYaw(traj_points.at(object_idx).pose.orientation);
 
   const double obstacle_yaw = tf2::getYaw(obstacle.pose.orientation);
@@ -130,7 +132,7 @@ TrajectoryPoint getExtendTrajectoryPoint(
   const double extend_distance, const TrajectoryPoint & goal_point, const bool is_driving_forward)
 {
   TrajectoryPoint extend_trajectory_point;
-  extend_trajectory_point.pose = tier4_autoware_utils::calcOffsetPose(
+  extend_trajectory_point.pose = autoware::universe_utils::calcOffsetPose(
     goal_point.pose, extend_distance * (is_driving_forward ? 1.0 : -1.0), 0.0, 0.0);
   extend_trajectory_point.longitudinal_velocity_mps = goal_point.longitudinal_velocity_mps;
   extend_trajectory_point.lateral_velocity_mps = goal_point.lateral_velocity_mps;
@@ -143,7 +145,8 @@ std::vector<TrajectoryPoint> extendTrajectoryPoints(
   const double step_length)
 {
   auto output_points = input_points;
-  const auto is_driving_forward_opt = motion_utils::isDrivingForwardWithTwist(input_points);
+  const auto is_driving_forward_opt =
+    autoware::motion_utils::isDrivingForwardWithTwist(input_points);
   const bool is_driving_forward = is_driving_forward_opt ? *is_driving_forward_opt : true;
 
   if (extend_distance < std::numeric_limits<double>::epsilon()) {
@@ -186,12 +189,12 @@ std::vector<int> getTargetObjectType(rclcpp::Node & node, const std::string & pa
 std::vector<TrajectoryPoint> resampleTrajectoryPoints(
   const std::vector<TrajectoryPoint> & traj_points, const double interval)
 {
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(traj, interval);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(traj, interval);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
-geometry_msgs::msg::Point toGeomPoint(const tier4_autoware_utils::Point2d & point)
+geometry_msgs::msg::Point toGeomPoint(const autoware::universe_utils::Point2d & point)
 {
   geometry_msgs::msg::Point geom_point;
   geom_point.x = point.x();
@@ -278,75 +281,75 @@ void ObstacleCruisePlannerNode::BehaviorDeterminationParam::onParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
   // behavior determination
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.decimate_trajectory_step_length",
     decimate_trajectory_step_length);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.crossing_obstacle.obstacle_velocity_threshold",
     crossing_obstacle_velocity_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.crossing_obstacle.obstacle_traj_angle_threshold",
     crossing_obstacle_traj_angle_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.stop.crossing_obstacle.collision_time_margin",
     collision_time_margin);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.outside_obstacle.obstacle_velocity_threshold",
     outside_obstacle_min_velocity_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters,
     "behavior_determination.cruise.outside_obstacle.ego_obstacle_overlap_time_threshold",
     ego_obstacle_overlap_time_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters,
     "behavior_determination.cruise.outside_obstacle.max_prediction_time_for_collision_check",
     max_prediction_time_for_collision_check);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.stop_obstacle_hold_time_threshold",
     stop_obstacle_hold_time_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.prediction_resampling_time_interval",
     prediction_resampling_time_interval);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.prediction_resampling_time_horizon",
     prediction_resampling_time_horizon);
 
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.stop.max_lat_margin", max_lat_margin_for_stop);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.stop.max_lat_margin_against_unknown",
     max_lat_margin_for_stop_against_unknown);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.max_lat_margin", max_lat_margin_for_cruise);
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "behavior_determination.cruise.yield.enable_yield", enable_yield);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.yield.lat_distance_threshold",
     yield_lat_distance_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.yield.max_lat_dist_between_obstacles",
     max_lat_dist_between_obstacles);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.yield.stopped_obstacle_velocity_threshold",
     stopped_obstacle_velocity_threshold);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.cruise.yield.max_obstacles_collision_time",
     max_obstacles_collision_time);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.slow_down.max_lat_margin", max_lat_margin_for_slow_down);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.slow_down.lat_hysteresis_margin",
     lat_hysteresis_margin_for_slow_down);
-  tier4_autoware_utils::updateParam<int>(
+  autoware::universe_utils::updateParam<int>(
     parameters, "behavior_determination.slow_down.successive_num_to_entry_slow_down_condition",
     successive_num_to_entry_slow_down_condition);
-  tier4_autoware_utils::updateParam<int>(
+  autoware::universe_utils::updateParam<int>(
     parameters, "behavior_determination.slow_down.successive_num_to_exit_slow_down_condition",
     successive_num_to_exit_slow_down_condition);
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "behavior_determination.consider_current_pose.enable_to_consider_current_pose",
     enable_to_consider_current_pose);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "behavior_determination.consider_current_pose.time_to_convergence",
     time_to_convergence);
 }
@@ -406,7 +409,7 @@ ObstacleCruisePlannerNode::ObstacleCruisePlannerNode(const rclcpp::NodeOptions &
       planner_ptr_ = std::make_unique<PIDBasedPlanner>(
         *this, longitudinal_info, vehicle_info_, ego_nearest_param_, debug_data_ptr_);
     } else {
-      std::logic_error("Designated algorithm is not supported.");
+      throw std::logic_error("Designated algorithm is not supported.");
     }
 
     min_behavior_stop_margin_ = declare_parameter<double>("common.min_behavior_stop_margin");
@@ -437,8 +440,9 @@ ObstacleCruisePlannerNode::ObstacleCruisePlannerNode(const rclcpp::NodeOptions &
   set_param_res_ = this->add_on_set_parameters_callback(
     std::bind(&ObstacleCruisePlannerNode::onParam, this, std::placeholders::_1));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 ObstacleCruisePlannerNode::PlanningAlgorithm ObstacleCruisePlannerNode::getPlanningAlgorithmType(
@@ -457,17 +461,17 @@ rcl_interfaces::msg::SetParametersResult ObstacleCruisePlannerNode::onParam(
 {
   planner_ptr_->onParam(parameters);
 
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "common.enable_debug_info", enable_debug_info_);
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "common.enable_calculation_time_info", enable_calculation_time_info_);
 
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "common.stop_on_curve.enable_approaching", enable_approaching_on_curve_);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "common.stop_on_curve.additional_safe_distance_margin",
     additional_safe_distance_margin_on_curve_);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "common.stop_on_curve.min_safe_distance_margin",
     min_safe_distance_margin_on_curve_);
 
@@ -476,7 +480,7 @@ rcl_interfaces::msg::SetParametersResult ObstacleCruisePlannerNode::onParam(
     enable_approaching_on_curve_, additional_safe_distance_margin_on_curve_,
     min_safe_distance_margin_on_curve_, suppress_sudden_obstacle_stop_);
 
-  tier4_autoware_utils::updateParam<bool>(
+  autoware::universe_utils::updateParam<bool>(
     parameters, "common.enable_slow_down_planning", enable_slow_down_planning_);
 
   behavior_determination_param_.onParam(parameters);
@@ -500,7 +504,7 @@ void ObstacleCruisePlannerNode::onTrajectory(const Trajectory::ConstSharedPtr ms
   const auto & objects = *objects_ptr;
   const auto & acc = *acc_ptr;
 
-  const auto traj_points = motion_utils::convertToTrajectoryPointArray(*msg);
+  const auto traj_points = autoware::motion_utils::convertToTrajectoryPointArray(*msg);
   // check if subscribed variables are ready
   if (traj_points.empty()) {
     return;
@@ -509,7 +513,7 @@ void ObstacleCruisePlannerNode::onTrajectory(const Trajectory::ConstSharedPtr ms
   stop_watch_.tic(__func__);
   *debug_data_ptr_ = DebugData();
 
-  const auto is_driving_forward = motion_utils::isDrivingForwardWithTwist(traj_points);
+  const auto is_driving_forward = autoware::motion_utils::isDrivingForwardWithTwist(traj_points);
   is_driving_forward_ = is_driving_forward ? is_driving_forward.value() : is_driving_forward_;
 
   // 1. Convert predicted objects to obstacles which are
@@ -541,7 +545,8 @@ void ObstacleCruisePlannerNode::onTrajectory(const Trajectory::ConstSharedPtr ms
   publishVelocityLimit(slow_down_vel_limit, "slow_down");
 
   // 7. Publish trajectory
-  const auto output_traj = motion_utils::convertToTrajectory(slow_down_traj_points, msg->header);
+  const auto output_traj =
+    autoware::motion_utils::convertToTrajectory(slow_down_traj_points, msg->header);
   trajectory_pub_->publish(output_traj);
 
   // 8. Publish debug data
@@ -568,10 +573,10 @@ std::vector<Polygon2d> ObstacleCruisePlannerNode::createOneStepPolygons(
   const double vehicle_width = vehicle_info.vehicle_width_m;
 
   const size_t nearest_idx =
-    motion_utils::findNearestSegmentIndex(traj_points, current_ego_pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(traj_points, current_ego_pose.position);
   const auto nearest_pose = traj_points.at(nearest_idx).pose;
   const auto current_ego_pose_error =
-    tier4_autoware_utils::inverseTransformPose(current_ego_pose, nearest_pose);
+    autoware::universe_utils::inverseTransformPose(current_ego_pose, nearest_pose);
   const double current_ego_lat_error = current_ego_pose_error.position.y;
   const double current_ego_yaw_error = tf2::getYaw(current_ego_pose_error.orientation);
   double time_elapsed{0.0};
@@ -587,11 +592,11 @@ std::vector<Polygon2d> ObstacleCruisePlannerNode::createOneStepPolygons(
       const double rem_ratio = (p.time_to_convergence - time_elapsed) / p.time_to_convergence;
       geometry_msgs::msg::Pose indexed_pose_err;
       indexed_pose_err.set__orientation(
-        tier4_autoware_utils::createQuaternionFromYaw(current_ego_yaw_error * rem_ratio));
+        autoware::universe_utils::createQuaternionFromYaw(current_ego_yaw_error * rem_ratio));
       indexed_pose_err.set__position(
-        tier4_autoware_utils::createPoint(0.0, current_ego_lat_error * rem_ratio, 0.0));
+        autoware::universe_utils::createPoint(0.0, current_ego_lat_error * rem_ratio, 0.0));
       current_poses.push_back(
-        tier4_autoware_utils::transformPose(indexed_pose_err, traj_points.at(i).pose));
+        autoware::universe_utils::transformPose(indexed_pose_err, traj_points.at(i).pose));
       if (traj_points.at(i).longitudinal_velocity_mps != 0.0) {
         time_elapsed +=
           p.decimate_trajectory_step_length / std::abs(traj_points.at(i).longitudinal_velocity_mps);
@@ -605,23 +610,23 @@ std::vector<Polygon2d> ObstacleCruisePlannerNode::createOneStepPolygons(
       if (i == 0 && traj_points.at(i).longitudinal_velocity_mps > 1e-3) {
         boost::geometry::append(
           idx_poly,
-          tier4_autoware_utils::toFootprint(pose, front_length, rear_length, vehicle_width)
+          autoware::universe_utils::toFootprint(pose, front_length, rear_length, vehicle_width)
             .outer());
         boost::geometry::append(
-          idx_poly,
-          tier4_autoware_utils::fromMsg(tier4_autoware_utils::calcOffsetPose(
-                                          pose, front_length, vehicle_width * 0.5 + lat_margin, 0.0)
-                                          .position)
-            .to_2d());
+          idx_poly, autoware::universe_utils::fromMsg(
+                      autoware::universe_utils::calcOffsetPose(
+                        pose, front_length, vehicle_width * 0.5 + lat_margin, 0.0)
+                        .position)
+                      .to_2d());
         boost::geometry::append(
-          idx_poly, tier4_autoware_utils::fromMsg(
-                      tier4_autoware_utils::calcOffsetPose(
+          idx_poly, autoware::universe_utils::fromMsg(
+                      autoware::universe_utils::calcOffsetPose(
                         pose, front_length, -vehicle_width * 0.5 - lat_margin, 0.0)
                         .position)
                       .to_2d());
       } else {
         boost::geometry::append(
-          idx_poly, tier4_autoware_utils::toFootprint(
+          idx_poly, autoware::universe_utils::toFootprint(
                       pose, front_length, rear_length, vehicle_width + lat_margin * 2.0)
                       .outer());
       }
@@ -650,7 +655,7 @@ std::vector<Obstacle> ObstacleCruisePlannerNode::convertToObstacles(
   std::vector<Obstacle> target_obstacles;
   for (const auto & predicted_object : objects.objects) {
     const auto & object_id =
-      tier4_autoware_utils::toHexString(predicted_object.object_id).substr(0, 4);
+      autoware::universe_utils::toHexString(predicted_object.object_id).substr(0, 4);
     const auto & current_obstacle_pose =
       obstacle_cruise_utils::getCurrentObjectPose(predicted_object, obj_stamp, now(), true);
 
@@ -678,7 +683,7 @@ std::vector<Obstacle> ObstacleCruisePlannerNode::convertToObstacles(
 
     // 3. Check if rough lateral distance is smaller than the threshold
     const double lat_dist_from_obstacle_to_traj =
-      motion_utils::calcLateralOffset(traj_points, current_obstacle_pose.pose.position);
+      autoware::motion_utils::calcLateralOffset(traj_points, current_obstacle_pose.pose.position);
 
     const double min_lat_dist_to_traj_poly = [&]() {
       const double obstacle_max_length = calcObstacleMaxLength(predicted_object.shape);
@@ -743,10 +748,11 @@ bool ObstacleCruisePlannerNode::isFrontCollideObstacle(
   const std::vector<TrajectoryPoint> & traj_points, const Obstacle & obstacle,
   const size_t first_collision_idx) const
 {
-  const auto obstacle_idx = motion_utils::findNearestIndex(traj_points, obstacle.pose.position);
+  const auto obstacle_idx =
+    autoware::motion_utils::findNearestIndex(traj_points, obstacle.pose.position);
 
   const double obstacle_to_col_points_distance =
-    motion_utils::calcSignedArcLength(traj_points, obstacle_idx, first_collision_idx);
+    autoware::motion_utils::calcSignedArcLength(traj_points, obstacle_idx, first_collision_idx);
   const double obstacle_max_length = calcObstacleMaxLength(obstacle.shape);
 
   // If the obstacle is far in front of the collision point, the obstacle is behind the ego.
@@ -938,7 +944,7 @@ std::optional<CruiseObstacle> ObstacleCruisePlannerNode::createYieldCruiseObstac
   }
 
   const auto collision_points = [&]() -> std::optional<std::vector<PointWithStamp>> {
-    const auto obstacle_idx = motion_utils::findNearestIndex(traj_points, obstacle.pose);
+    const auto obstacle_idx = autoware::motion_utils::findNearestIndex(traj_points, obstacle.pose);
     if (!obstacle_idx) return std::nullopt;
     const auto collision_traj_point = traj_points.at(obstacle_idx.value());
     const auto object_time = now() + traj_points.at(obstacle_idx.value()).time_from_start;
@@ -1203,8 +1209,8 @@ std::optional<StopObstacle> ObstacleCruisePlannerNode::createStopObstacle(
   // NOTE: Dynamic obstacles for stop are crossing ego's trajectory with high speed,
   //       and the collision between ego and obstacles are within the margin threshold.
   const bool is_obstacle_crossing = isObstacleCrossing(traj_points, obstacle);
-  const double has_high_speed = p.crossing_obstacle_velocity_threshold <
-                                std::hypot(obstacle.twist.linear.x, obstacle.twist.linear.y);
+  const bool has_high_speed = p.crossing_obstacle_velocity_threshold <
+                              std::hypot(obstacle.twist.linear.x, obstacle.twist.linear.y);
   if (is_obstacle_crossing && has_high_speed) {
     // Get highest confidence predicted path
     const auto resampled_predicted_path = resampleHighestConfidencePredictedPath(
@@ -1352,7 +1358,7 @@ std::optional<SlowDownObstacle> ObstacleCruisePlannerNode::createSlowDownObstacl
   for (const auto & collision_poly : front_collision_polygons) {
     for (const auto & collision_point : collision_poly.outer()) {
       const auto collision_geom_point = toGeomPoint(collision_point);
-      const double dist = motion_utils::calcLongitudinalOffsetToSegment(
+      const double dist = autoware::motion_utils::calcLongitudinalOffsetToSegment(
         traj_points, front_seg_idx, collision_geom_point);
       if (dist < front_min_dist) {
         front_min_dist = dist;
@@ -1367,7 +1373,7 @@ std::optional<SlowDownObstacle> ObstacleCruisePlannerNode::createSlowDownObstacl
   for (const auto & collision_poly : back_collision_polygons) {
     for (const auto & collision_point : collision_poly.outer()) {
       const auto collision_geom_point = toGeomPoint(collision_point);
-      const double dist = motion_utils::calcLongitudinalOffsetToSegment(
+      const double dist = autoware::motion_utils::calcLongitudinalOffsetToSegment(
         traj_points, back_seg_idx, collision_geom_point);
       if (back_max_dist < dist) {
         back_max_dist = dist;
@@ -1390,7 +1396,8 @@ void ObstacleCruisePlannerNode::checkConsistency(
     const auto predicted_object_itr = std::find_if(
       predicted_objects.objects.begin(), predicted_objects.objects.end(),
       [&prev_closest_stop_obstacle](const PredictedObject & po) {
-        return tier4_autoware_utils::toHexString(po.object_id) == prev_closest_stop_obstacle.uuid;
+        return autoware::universe_utils::toHexString(po.object_id) ==
+               prev_closest_stop_obstacle.uuid;
       });
     // If previous closest obstacle disappear from the perception result, do nothing anymore.
     if (predicted_object_itr == predicted_objects.objects.end()) {
@@ -1449,7 +1456,7 @@ double ObstacleCruisePlannerNode::calcCollisionTimeMargin(
                                     ? std::abs(vehicle_info_.max_longitudinal_offset_m)
                                     : std::abs(vehicle_info_.min_longitudinal_offset_m);
     const double dist_from_ego_to_obstacle =
-      std::abs(motion_utils::calcSignedArcLength(
+      std::abs(autoware::motion_utils::calcSignedArcLength(
         traj_points, ego_pose.position, collision_points.front().point)) -
       abs_ego_offset;
     return dist_from_ego_to_obstacle / std::max(1e-6, std::abs(ego_vel));
@@ -1524,10 +1531,10 @@ void ObstacleCruisePlannerNode::publishDebugMarker() const
     }
   }
   for (size_t i = 0; i < stop_collision_points.size(); ++i) {
-    auto collision_point_marker = tier4_autoware_utils::createDefaultMarker(
+    auto collision_point_marker = autoware::universe_utils::createDefaultMarker(
       "map", now(), "cruise_collision_points", i, Marker::SPHERE,
-      tier4_autoware_utils::createMarkerScale(0.25, 0.25, 0.25),
-      tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.25, 0.25, 0.25),
+      autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
     collision_point_marker.pose.position = stop_collision_points.at(i);
     debug_marker.markers.push_back(collision_point_marker);
   }
@@ -1540,10 +1547,10 @@ void ObstacleCruisePlannerNode::publishDebugMarker() const
     debug_marker.markers.push_back(obstacle_marker);
 
     // collision point
-    auto collision_point_marker = tier4_autoware_utils::createDefaultMarker(
+    auto collision_point_marker = autoware::universe_utils::createDefaultMarker(
       "map", now(), "stop_collision_points", 0, Marker::SPHERE,
-      tier4_autoware_utils::createMarkerScale(0.25, 0.25, 0.25),
-      tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.25, 0.25, 0.25),
+      autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
     collision_point_marker.pose.position = debug_data_ptr_->obstacles_to_stop.at(i).collision_point;
     debug_marker.markers.push_back(collision_point_marker);
   }
@@ -1557,16 +1564,16 @@ void ObstacleCruisePlannerNode::publishDebugMarker() const
     debug_marker.markers.push_back(obstacle_marker);
 
     // collision points
-    auto front_collision_point_marker = tier4_autoware_utils::createDefaultMarker(
+    auto front_collision_point_marker = autoware::universe_utils::createDefaultMarker(
       "map", now(), "slow_down_collision_points", i * 2 + 0, Marker::SPHERE,
-      tier4_autoware_utils::createMarkerScale(0.25, 0.25, 0.25),
-      tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.25, 0.25, 0.25),
+      autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
     front_collision_point_marker.pose.position =
       debug_data_ptr_->obstacles_to_slow_down.at(i).front_collision_point;
-    auto back_collision_point_marker = tier4_autoware_utils::createDefaultMarker(
+    auto back_collision_point_marker = autoware::universe_utils::createDefaultMarker(
       "map", now(), "slow_down_collision_points", i * 2 + 1, Marker::SPHERE,
-      tier4_autoware_utils::createMarkerScale(0.25, 0.25, 0.25),
-      tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.25, 0.25, 0.25),
+      autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 0.999));
     back_collision_point_marker.pose.position =
       debug_data_ptr_->obstacles_to_slow_down.at(i).back_collision_point;
 
@@ -1583,10 +1590,10 @@ void ObstacleCruisePlannerNode::publishDebugMarker() const
   }
 
   {  // footprint polygons
-    auto marker = tier4_autoware_utils::createDefaultMarker(
+    auto marker = autoware::universe_utils::createDefaultMarker(
       "map", now(), "detection_polygons", 0, Marker::LINE_LIST,
-      tier4_autoware_utils::createMarkerScale(0.01, 0.0, 0.0),
-      tier4_autoware_utils::createMarkerColor(0.0, 1.0, 0.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.01, 0.0, 0.0),
+      autoware::universe_utils::createMarkerColor(0.0, 1.0, 0.0, 0.999));
 
     for (const auto & detection_polygon : debug_data_ptr_->detection_polygons) {
       for (size_t dp_idx = 0; dp_idx < detection_polygon.outer().size(); ++dp_idx) {
@@ -1595,16 +1602,16 @@ void ObstacleCruisePlannerNode::publishDebugMarker() const
           detection_polygon.outer().at((dp_idx + 1) % detection_polygon.outer().size());
 
         marker.points.push_back(
-          tier4_autoware_utils::createPoint(current_point.x(), current_point.y(), 0.0));
+          autoware::universe_utils::createPoint(current_point.x(), current_point.y(), 0.0));
         marker.points.push_back(
-          tier4_autoware_utils::createPoint(next_point.x(), next_point.y(), 0.0));
+          autoware::universe_utils::createPoint(next_point.x(), next_point.y(), 0.0));
       }
     }
     debug_marker.markers.push_back(marker);
   }
 
   // slow down debug wall marker
-  tier4_autoware_utils::appendMarkerArray(
+  autoware::universe_utils::appendMarkerArray(
     debug_data_ptr_->slow_down_debug_wall_marker, &debug_marker);
 
   debug_marker_pub_->publish(debug_marker);
diff --git a/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/optimization_based_planner.cpp b/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/optimization_based_planner.cpp
index c7172435a6f24..d256a64984667 100644
--- a/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/optimization_based_planner.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/optimization_based_planner.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp"
-
-#include "autoware_obstacle_cruise_planner/utils.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/optimization_based_planner.hpp"
+
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/interpolation.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/obstacle_cruise_planner/utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/zero_order_hold.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
@@ -174,7 +174,7 @@ std::vector<TrajectoryPoint> OptimizationBasedPlanner::generateCruiseTrajectory(
 
   // Publish Debug trajectories
   const double traj_front_to_vehicle_offset =
-    motion_utils::calcSignedArcLength(stop_traj_points, 0, closest_idx);
+    autoware::motion_utils::calcSignedArcLength(stop_traj_points, 0, closest_idx);
   publishDebugTrajectory(
     planner_data, traj_front_to_vehicle_offset, time_vec, *s_boundaries, optimized_result);
 
@@ -217,7 +217,7 @@ std::vector<TrajectoryPoint> OptimizationBasedPlanner::generateCruiseTrajectory(
     }
   }
   const auto traj_stop_dist =
-    motion_utils::calcDistanceToForwardStopPoint(stop_traj_points, closest_idx);
+    autoware::motion_utils::calcDistanceToForwardStopPoint(stop_traj_points, closest_idx);
   if (traj_stop_dist) {
     closest_stop_dist = std::min(*traj_stop_dist + traj_front_to_vehicle_offset, closest_stop_dist);
   }
@@ -226,8 +226,8 @@ std::vector<TrajectoryPoint> OptimizationBasedPlanner::generateCruiseTrajectory(
   size_t break_id = stop_traj_points.size();
   std::vector<double> resampled_opt_position;
   for (size_t i = closest_idx; i < stop_traj_points.size(); ++i) {
-    const double query_s =
-      std::max(motion_utils::calcSignedArcLength(stop_traj_points, 0, i), opt_position.front());
+    const double query_s = std::max(
+      autoware::motion_utils::calcSignedArcLength(stop_traj_points, 0, i), opt_position.front());
     if (query_s > opt_position.back()) {
       break_id = i;
       break;
@@ -253,7 +253,7 @@ std::vector<TrajectoryPoint> OptimizationBasedPlanner::generateCruiseTrajectory(
   output.back().longitudinal_velocity_mps = 0.0;  // terminal velocity is zero
 
   // Insert Closest Stop Point
-  motion_utils::insertStopPoint(0, closest_stop_dist, output);
+  autoware::motion_utils::insertStopPoint(0, closest_stop_dist, output);
 
   prev_output_ = output;
   return output;
@@ -309,7 +309,7 @@ std::tuple<double, double> OptimizationBasedPlanner::calcInitialMotion(
 
   TrajectoryPoint prev_output_closest_point;
   if (smoothed_trajectory_ptr_) {
-    prev_output_closest_point = motion_utils::calcInterpolatedPoint(
+    prev_output_closest_point = autoware::motion_utils::calcInterpolatedPoint(
       *smoothed_trajectory_ptr_, ego_pose, ego_nearest_param_.dist_threshold,
       ego_nearest_param_.yaw_threshold);
   } else {
@@ -336,7 +336,7 @@ std::tuple<double, double> OptimizationBasedPlanner::calcInitialMotion(
   const double engage_vel_thr = engage_velocity_ * engage_exit_ratio_;
   if (vehicle_speed < engage_vel_thr) {
     if (target_vel >= engage_velocity_) {
-      const auto stop_dist = motion_utils::calcDistanceToForwardStopPoint(
+      const auto stop_dist = autoware::motion_utils::calcDistanceToForwardStopPoint(
         input_traj_points, ego_pose, ego_nearest_param_.dist_threshold,
         ego_nearest_param_.yaw_threshold);
       if ((stop_dist && *stop_dist > stop_dist_to_prohibit_engage_) || !stop_dist) {
@@ -372,7 +372,7 @@ bool OptimizationBasedPlanner::checkHasReachedGoal(
   const PlannerData & planner_data, const std::vector<TrajectoryPoint> & stop_traj_points)
 {
   // If goal is close and current velocity is low, we don't optimize trajectory
-  const auto closest_stop_dist = motion_utils::calcDistanceToForwardStopPoint(
+  const auto closest_stop_dist = autoware::motion_utils::calcDistanceToForwardStopPoint(
     stop_traj_points, planner_data.ego_pose, ego_nearest_param_.dist_threshold,
     ego_nearest_param_.yaw_threshold);
   if (closest_stop_dist && *closest_stop_dist < 0.5 && planner_data.ego_vel < 0.6) {
@@ -428,7 +428,7 @@ std::optional<SBoundaries> OptimizationBasedPlanner::getSBoundaries(
     const double rss_dist = calcRSSDistance(planner_data.ego_vel, obj_vel);
 
     const auto & safe_distance_margin = longitudinal_info_.safe_distance_margin;
-    const double ego_obj_length = motion_utils::calcSignedArcLength(
+    const double ego_obj_length = autoware::motion_utils::calcSignedArcLength(
       stop_traj_points, planner_data.ego_pose.position, obj.collision_points.front().point);
     const double slow_down_point_length = ego_obj_length - (rss_dist + safe_distance_margin);
 
@@ -442,15 +442,15 @@ std::optional<SBoundaries> OptimizationBasedPlanner::getSBoundaries(
   if (min_slow_down_idx) {
     const auto & current_time = planner_data.current_time;
 
-    const auto marker_pose = motion_utils::calcLongitudinalOffsetPose(
+    const auto marker_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
       stop_traj_points, planner_data.ego_pose.position, min_slow_down_point_length);
 
     if (marker_pose) {
       MarkerArray wall_msg;
 
-      const auto markers = motion_utils::createSlowDownVirtualWallMarker(
+      const auto markers = autoware::motion_utils::createSlowDownVirtualWallMarker(
         marker_pose.value(), "obstacle to follow", current_time, 0);
-      tier4_autoware_utils::appendMarkerArray(markers, &wall_msg);
+      autoware::universe_utils::appendMarkerArray(markers, &wall_msg);
 
       // publish rviz marker
       debug_wall_marker_pub_->publish(wall_msg);
@@ -583,7 +583,7 @@ bool OptimizationBasedPlanner::checkOnTrajectory(
   }
 
   const double lateral_offset =
-    std::fabs(motion_utils::calcLateralOffset(stop_traj_points, point.point));
+    std::fabs(autoware::motion_utils::calcLateralOffset(stop_traj_points, point.point));
 
   if (lateral_offset < vehicle_info_.max_lateral_offset_m + 0.1) {
     return true;
@@ -597,10 +597,10 @@ std::optional<double> OptimizationBasedPlanner::calcTrajectoryLengthFromCurrentP
 {
   const size_t ego_segment_idx = ego_nearest_param_.findSegmentIndex(traj_points, ego_pose);
 
-  const double traj_length = motion_utils::calcSignedArcLength(
+  const double traj_length = autoware::motion_utils::calcSignedArcLength(
     traj_points, ego_pose.position, ego_segment_idx, traj_points.size() - 1);
 
-  const auto dist_to_closest_stop_point = motion_utils::calcDistanceToForwardStopPoint(
+  const auto dist_to_closest_stop_point = autoware::motion_utils::calcDistanceToForwardStopPoint(
     traj_points, ego_pose, ego_nearest_param_.dist_threshold, ego_nearest_param_.yaw_threshold);
   if (dist_to_closest_stop_point) {
     return std::min(traj_length, dist_to_closest_stop_point.value());
@@ -627,7 +627,7 @@ geometry_msgs::msg::Pose OptimizationBasedPlanner::transformBaseLink2Center(
 
   geometry_msgs::msg::Pose center_pose;
   center_pose.position =
-    tier4_autoware_utils::createPoint(map2center.x(), map2center.y(), map2center.z());
+    autoware::universe_utils::createPoint(map2center.x(), map2center.y(), map2center.z());
   center_pose.orientation = pose_base_link.orientation;
 
   return center_pose;
diff --git a/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/velocity_optimizer.cpp b/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/velocity_optimizer.cpp
index 695db439e566c..8e31411bfb4af 100644
--- a/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/velocity_optimizer.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/optimization_based_planner/velocity_optimizer.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp"
+#include "autoware/obstacle_cruise_planner/optimization_based_planner/velocity_optimizer.hpp"
 
 #include <Eigen/Core>
 
diff --git a/planning/autoware_obstacle_cruise_planner/src/pid_based_planner/pid_based_planner.cpp b/planning/autoware_obstacle_cruise_planner/src/pid_based_planner/pid_based_planner.cpp
index 5156c61038122..345265b1d20b0 100644
--- a/planning/autoware_obstacle_cruise_planner/src/pid_based_planner/pid_based_planner.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/pid_based_planner/pid_based_planner.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp"
+#include "autoware/obstacle_cruise_planner/pid_based_planner/pid_based_planner.hpp"
 
-#include "autoware_obstacle_cruise_planner/utils.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/obstacle_cruise_planner/utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "interpolation/spline_interpolation.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
 #include "tier4_planning_msgs/msg/velocity_limit.hpp"
 
@@ -313,12 +313,13 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::planCruise(
       const size_t wall_idx = obstacle_cruise_utils::getIndexWithLongitudinalOffset(
         stop_traj_points, dist_to_rss_wall, ego_idx);
 
-      auto markers = motion_utils::createSlowDownVirtualWallMarker(
+      auto markers = autoware::motion_utils::createSlowDownVirtualWallMarker(
         stop_traj_points.at(wall_idx).pose, "obstacle cruise", planner_data.current_time, 0);
       // NOTE: use a different color from slow down one to visualize cruise and slow down
       // separately.
-      markers.markers.front().color = tier4_autoware_utils::createMarkerColor(1.0, 0.6, 0.1, 0.5);
-      tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->cruise_wall_marker);
+      markers.markers.front().color =
+        autoware::universe_utils::createMarkerColor(1.0, 0.6, 0.1, 0.5);
+      autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->cruise_wall_marker);
 
       // cruise obstacle
       debug_data_ptr_->obstacles_to_cruise.push_back(cruise_obstacle_info->obstacle);
@@ -344,8 +345,8 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::planCruise(
 
   // delete marker
   const auto markers =
-    motion_utils::createDeletedSlowDownVirtualWallMarker(planner_data.current_time, 0);
-  tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->cruise_wall_marker);
+    autoware::motion_utils::createDeletedSlowDownVirtualWallMarker(planner_data.current_time, 0);
+  autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->cruise_wall_marker);
 
   return stop_traj_points;
 }
@@ -479,7 +480,7 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::doCruiseWithTrajectory(
   // set target longitudinal motion
   const auto prev_traj_closest_point = [&]() -> TrajectoryPoint {
     // if (smoothed_trajectory_ptr_) {
-    //   return motion_utils::calcInterpolatedPoint(
+    //   return autoware::motion_utils::calcInterpolatedPoint(
     //     *smoothed_trajectory_ptr_, planner_data.ego_pose, nearest_dist_deviation_threshold_,
     //     nearest_yaw_deviation_threshold_);
     // }
@@ -491,7 +492,7 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::doCruiseWithTrajectory(
   auto cruise_traj_points = getAccelerationLimitedTrajectory(
     stop_traj_points, planner_data.ego_pose, v0, a0, target_acc, target_jerk_ratio);
 
-  const auto zero_vel_idx_opt = motion_utils::searchZeroVelocityIndex(cruise_traj_points);
+  const auto zero_vel_idx_opt = autoware::motion_utils::searchZeroVelocityIndex(cruise_traj_points);
   if (!zero_vel_idx_opt) {
     return cruise_traj_points;
   }
@@ -528,7 +529,7 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::getAccelerationLimitedTrajectory(
   };
 
   // calculate sv graph
-  const double s_traj = motion_utils::calcArcLength(traj_points);
+  const double s_traj = autoware::motion_utils::calcArcLength(traj_points);
   // const double t_max = 10.0;
   const double s_max = 50.0;
   const double max_sampling_num = 100.0;
@@ -598,7 +599,7 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::getAccelerationLimitedTrajectory(
   double sum_dist = 0.0;
   for (size_t i = ego_seg_idx; i < acc_limited_traj_points.size(); ++i) {
     if (i != ego_seg_idx) {
-      sum_dist += tier4_autoware_utils::calcDistance2d(
+      sum_dist += autoware::universe_utils::calcDistance2d(
         acc_limited_traj_points.at(i - 1), acc_limited_traj_points.at(i));
     }
 
@@ -621,7 +622,7 @@ std::vector<TrajectoryPoint> PIDBasedPlanner::getAccelerationLimitedTrajectory(
 
 void PIDBasedPlanner::updateCruiseParam(const std::vector<rclcpp::Parameter> & parameters)
 {
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "cruise.pid_based_planner.min_accel_during_cruise", min_accel_during_cruise_);
 
   {  // velocity limit based planner
@@ -631,26 +632,26 @@ void PIDBasedPlanner::updateCruiseParam(const std::vector<rclcpp::Parameter> & p
     double ki = p.pid_vel_controller->getKi();
     double kd = p.pid_vel_controller->getKd();
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_limit_based_planner.kp", kp);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_limit_based_planner.ki", ki);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_limit_based_planner.kd", kd);
     p.pid_vel_controller->updateParam(kp, ki, kd);
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_limit_based_planner.output_ratio_during_accel",
       p.output_ratio_during_accel);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.vel_to_acc_weight", p.vel_to_acc_weight);
 
-    tier4_autoware_utils::updateParam<bool>(
+    autoware::universe_utils::updateParam<bool>(
       parameters,
       "cruise.pid_based_planner.velocity_limit_based_planner.enable_jerk_limit_to_output_acc",
       p.enable_jerk_limit_to_output_acc);
 
-    tier4_autoware_utils::updateParam<bool>(
+    autoware::universe_utils::updateParam<bool>(
       parameters,
       "cruise.pid_based_planner.velocity_limit_based_planner.disable_target_acceleration",
       p.disable_target_acceleration);
@@ -664,11 +665,11 @@ void PIDBasedPlanner::updateCruiseParam(const std::vector<rclcpp::Parameter> & p
     double ki_acc = p.pid_acc_controller->getKi();
     double kd_acc = p.pid_acc_controller->getKd();
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.kp_acc", kp_acc);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.ki_acc", ki_acc);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.kd_acc", kd_acc);
     p.pid_acc_controller->updateParam(kp_acc, ki_acc, kd_acc);
 
@@ -677,32 +678,32 @@ void PIDBasedPlanner::updateCruiseParam(const std::vector<rclcpp::Parameter> & p
     double ki_jerk = p.pid_jerk_controller->getKi();
     double kd_jerk = p.pid_jerk_controller->getKd();
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.kp_jerk", kp_jerk);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.ki_jerk", ki_jerk);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters, "cruise.pid_based_planner.velocity_insertion_based_planner.kd_jerk", kd_jerk);
     p.pid_jerk_controller->updateParam(kp_jerk, ki_jerk, kd_jerk);
 
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters,
       "cruise.pid_based_planner.velocity_insertion_based_planner.output_acc_ratio_during_accel",
       p.output_acc_ratio_during_accel);
-    tier4_autoware_utils::updateParam<double>(
+    autoware::universe_utils::updateParam<double>(
       parameters,
       "cruise.pid_based_planner.velocity_insertion_based_planner.output_jerk_ratio_during_accel",
       p.output_jerk_ratio_during_accel);
 
-    tier4_autoware_utils::updateParam<bool>(
+    autoware::universe_utils::updateParam<bool>(
       parameters,
       "cruise.pid_based_planner.velocity_insertion_based_planner.enable_jerk_limit_to_output_acc",
       p.enable_jerk_limit_to_output_acc);
   }
 
   // min_cruise_target_vel
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "cruise.pid_based_planner.min_cruise_target_vel", min_cruise_target_vel_);
-  tier4_autoware_utils::updateParam<double>(
+  autoware::universe_utils::updateParam<double>(
     parameters, "cruise.pid_based_planner.time_to_evaluate_rss", time_to_evaluate_rss_);
 }
diff --git a/planning/autoware_obstacle_cruise_planner/src/planner_interface.cpp b/planning/autoware_obstacle_cruise_planner/src/planner_interface.cpp
index f3b5af842acdb..18e0fc7f5bb03 100644
--- a/planning/autoware_obstacle_cruise_planner/src/planner_interface.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/planner_interface.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/planner_interface.hpp"
-
-#include "motion_utils/distance/distance.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/obstacle_cruise_planner/planner_interface.hpp"
+
+#include "autoware/motion_utils/distance/distance.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "signal_processing/lowpass_filter_1d.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 #include <boost/geometry/algorithms/distance.hpp>
 #include <boost/geometry/strategies/strategies.hpp>
@@ -50,7 +50,7 @@ tier4_planning_msgs::msg::StopReasonArray makeStopReasonArray(
   stop_factor.stop_pose = stop_pose;
   geometry_msgs::msg::Point stop_factor_point = stop_obstacle.collision_point;
   stop_factor_point.z = stop_pose.position.z;
-  stop_factor.dist_to_stop_pose = motion_utils::calcSignedArcLength(
+  stop_factor.dist_to_stop_pose = autoware::motion_utils::calcSignedArcLength(
     planner_data.traj_points, planner_data.ego_pose.position, stop_pose.position);
   stop_factor.stop_factor_points.emplace_back(stop_factor_point);
 
@@ -143,7 +143,7 @@ double findReachTime(
     return j * t * t * t / 6.0 + a * t * t / 2.0 + v * t - d;
   };
   if (f(min, j, a, v, d) > 0 || f(max, j, a, v, d) < 0) {
-    std::logic_error("[obstacle_cruise_planner](findReachTime): search range is invalid");
+    throw std::logic_error("[obstacle_cruise_planner](findReachTime): search range is invalid");
   }
   const double eps = 1e-5;
   const int warn_iter = 100;
@@ -175,7 +175,7 @@ double calcDecelerationVelocityFromDistanceToTarget(
   const double current_velocity, const double distance_to_target)
 {
   if (max_slowdown_jerk > 0 || max_slowdown_accel > 0) {
-    std::logic_error("max_slowdown_jerk and max_slowdown_accel should be negative");
+    throw std::logic_error("max_slowdown_jerk and max_slowdown_accel should be negative");
   }
   // case0: distance to target is behind ego
   if (distance_to_target <= 0) return current_velocity;
@@ -218,14 +218,14 @@ double calcDecelerationVelocityFromDistanceToTarget(
 std::vector<TrajectoryPoint> resampleTrajectoryPoints(
   const std::vector<TrajectoryPoint> & traj_points, const double interval)
 {
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(traj, interval);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(traj, interval);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
-tier4_autoware_utils::Point2d convertPoint(const geometry_msgs::msg::Point & p)
+autoware::universe_utils::Point2d convertPoint(const geometry_msgs::msg::Point & p)
 {
-  return tier4_autoware_utils::Point2d{p.x, p.y};
+  return autoware::universe_utils::Point2d{p.x, p.y};
 }
 }  // namespace
 
@@ -248,8 +248,8 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
 
     // delete marker
     const auto markers =
-      motion_utils::createDeletedStopVirtualWallMarker(planner_data.current_time, 0);
-    tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
+      autoware::motion_utils::createDeletedStopVirtualWallMarker(planner_data.current_time, 0);
+    autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
 
     prev_stop_distance_info_ = std::nullopt;
     return planner_data.traj_points;
@@ -269,14 +269,14 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
     const auto ego_segment_idx =
       ego_nearest_param_.findSegmentIndex(planner_data.traj_points, planner_data.ego_pose);
     const double dist_to_collide_on_ref_traj =
-      motion_utils::calcSignedArcLength(planner_data.traj_points, 0, ego_segment_idx) +
+      autoware::motion_utils::calcSignedArcLength(planner_data.traj_points, 0, ego_segment_idx) +
       stop_obstacle.dist_to_collide_on_decimated_traj;
 
     const double desired_margin = [&]() {
       const double margin_from_obstacle =
         calculateMarginFromObstacleOnCurve(planner_data, stop_obstacle);
       // Use terminal margin (terminal_safe_distance_margin) for obstacle stop
-      const auto ref_traj_length = motion_utils::calcSignedArcLength(
+      const auto ref_traj_length = autoware::motion_utils::calcSignedArcLength(
         planner_data.traj_points, 0, planner_data.traj_points.size() - 1);
       if (dist_to_collide_on_ref_traj > ref_traj_length) {
         return longitudinal_info_.terminal_safe_distance_margin;
@@ -284,11 +284,12 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
 
       // If behavior stop point is ahead of the closest_obstacle_stop point within a certain
       // margin we set closest_obstacle_stop_distance to closest_behavior_stop_distance
-      const auto closest_behavior_stop_idx =
-        motion_utils::searchZeroVelocityIndex(planner_data.traj_points, ego_segment_idx + 1);
+      const auto closest_behavior_stop_idx = autoware::motion_utils::searchZeroVelocityIndex(
+        planner_data.traj_points, ego_segment_idx + 1);
       if (closest_behavior_stop_idx) {
-        const double closest_behavior_stop_dist_on_ref_traj = motion_utils::calcSignedArcLength(
-          planner_data.traj_points, 0, *closest_behavior_stop_idx);
+        const double closest_behavior_stop_dist_on_ref_traj =
+          autoware::motion_utils::calcSignedArcLength(
+            planner_data.traj_points, 0, *closest_behavior_stop_idx);
         const double stop_dist_diff = closest_behavior_stop_dist_on_ref_traj -
                                       (dist_to_collide_on_ref_traj - margin_from_obstacle);
         if (0.0 < stop_dist_diff && stop_dist_diff < margin_from_obstacle) {
@@ -328,7 +329,7 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
       }
 
       const double acceptable_stop_pos =
-        motion_utils::calcSignedArcLength(
+        autoware::motion_utils::calcSignedArcLength(
           planner_data.traj_points, 0, planner_data.ego_pose.position) +
         calcMinimumDistanceToStop(
           planner_data.ego_vel, longitudinal_info_.limit_max_accel, acceptable_stop_acc.value());
@@ -355,8 +356,8 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
   if (!determined_zero_vel_dist) {
     // delete marker
     const auto markers =
-      motion_utils::createDeletedStopVirtualWallMarker(planner_data.current_time, 0);
-    tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
+      autoware::motion_utils::createDeletedStopVirtualWallMarker(planner_data.current_time, 0);
+    autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
 
     prev_stop_distance_info_ = std::nullopt;
     return planner_data.traj_points;
@@ -369,9 +370,9 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
     // NOTE: We assume that the current trajectory's front point is ahead of the previous
     // trajectory's front point.
     const size_t traj_front_point_prev_seg_idx =
-      motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
         prev_stop_distance_info_->first, planner_data.traj_points.front().pose);
-    const double diff_dist_front_points = motion_utils::calcSignedArcLength(
+    const double diff_dist_front_points = autoware::motion_utils::calcSignedArcLength(
       prev_stop_distance_info_->first, 0, planner_data.traj_points.front().pose.position,
       traj_front_point_prev_seg_idx);
 
@@ -386,13 +387,13 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
   // Insert stop point
   auto output_traj_points = planner_data.traj_points;
   const auto zero_vel_idx =
-    motion_utils::insertStopPoint(0, *determined_zero_vel_dist, output_traj_points);
+    autoware::motion_utils::insertStopPoint(0, *determined_zero_vel_dist, output_traj_points);
   if (zero_vel_idx) {
     // virtual wall marker for stop obstacle
-    const auto markers = motion_utils::createStopVirtualWallMarker(
+    const auto markers = autoware::motion_utils::createStopVirtualWallMarker(
       output_traj_points.at(*zero_vel_idx).pose, "obstacle stop", planner_data.current_time, 0,
       abs_ego_offset, "", planner_data.is_driving_forward);
-    tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
+    autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->stop_wall_marker);
     debug_data_ptr_->obstacles_to_stop.push_back(*determined_stop_obstacle);
 
     // Publish Stop Reason
@@ -405,7 +406,7 @@ std::vector<TrajectoryPoint> PlannerInterface::generateStopTrajectory(
     // Publish if ego vehicle will over run against the stop point with a limit acceleration
 
     const bool will_over_run = determined_zero_vel_dist.value() >
-                               motion_utils::calcSignedArcLength(
+                               autoware::motion_utils::calcSignedArcLength(
                                  planner_data.traj_points, 0, planner_data.ego_pose.position) +
                                  determined_stop_obstacle->dist_to_collide_on_decimated_traj +
                                  determined_desired_margin.value() + 0.1;
@@ -447,8 +448,8 @@ double PlannerInterface::calculateMarginFromObstacleOnCurve(
                                   : std::abs(vehicle_info_.min_longitudinal_offset_m);
 
   // calculate short trajectory points towards obstacle
-  const size_t obj_segment_idx =
-    motion_utils::findNearestSegmentIndex(planner_data.traj_points, stop_obstacle.collision_point);
+  const size_t obj_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
+    planner_data.traj_points, stop_obstacle.collision_point);
   std::vector<TrajectoryPoint> short_traj_points{planner_data.traj_points.at(obj_segment_idx + 1)};
   double sum_short_traj_length{0.0};
   for (int i = obj_segment_idx; 0 <= i; --i) {
@@ -459,7 +460,7 @@ double PlannerInterface::calculateMarginFromObstacleOnCurve(
       longitudinal_info_.safe_distance_margin + abs_ego_offset < sum_short_traj_length) {
       break;
     }
-    sum_short_traj_length += tier4_autoware_utils::calcDistance2d(
+    sum_short_traj_length += autoware::universe_utils::calcDistance2d(
       planner_data.traj_points.at(i), planner_data.traj_points.at(i + 1));
   }
   std::reverse(short_traj_points.begin(), short_traj_points.end());
@@ -470,15 +471,15 @@ double PlannerInterface::calculateMarginFromObstacleOnCurve(
   // calculate collision index between straight line from ego pose and object
   const auto calculate_distance_from_straight_ego_path =
     [&](const auto & ego_pose, const auto & object_polygon) {
-      const auto forward_ego_pose = tier4_autoware_utils::calcOffsetPose(
+      const auto forward_ego_pose = autoware::universe_utils::calcOffsetPose(
         ego_pose, longitudinal_info_.safe_distance_margin + 3.0, 0.0, 0.0);
-      const auto ego_straight_segment = tier4_autoware_utils::Segment2d{
+      const auto ego_straight_segment = autoware::universe_utils::Segment2d{
         convertPoint(ego_pose.position), convertPoint(forward_ego_pose.position)};
       return boost::geometry::distance(ego_straight_segment, object_polygon);
     };
   const auto resampled_short_traj_points = resampleTrajectoryPoints(short_traj_points, 0.5);
   const auto object_polygon =
-    tier4_autoware_utils::toPolygon2d(stop_obstacle.pose, stop_obstacle.shape);
+    autoware::universe_utils::toPolygon2d(stop_obstacle.pose, stop_obstacle.shape);
   const auto collision_idx = [&]() -> std::optional<size_t> {
     for (size_t i = 0; i < resampled_short_traj_points.size(); ++i) {
       const double dist_to_obj = calculate_distance_from_straight_ego_path(
@@ -498,7 +499,7 @@ double PlannerInterface::calculateMarginFromObstacleOnCurve(
 
   // calculate margin from obstacle
   const double partial_segment_length = [&]() {
-    const double collision_segment_length = tier4_autoware_utils::calcDistance2d(
+    const double collision_segment_length = autoware::universe_utils::calcDistance2d(
       resampled_short_traj_points.at(*collision_idx - 1),
       resampled_short_traj_points.at(*collision_idx));
     const double prev_dist = calculate_distance_from_straight_ego_path(
@@ -511,7 +512,7 @@ double PlannerInterface::calculateMarginFromObstacleOnCurve(
 
   const double short_margin_from_obstacle =
     partial_segment_length +
-    motion_utils::calcSignedArcLength(
+    autoware::motion_utils::calcSignedArcLength(
       resampled_short_traj_points, *collision_idx, stop_obstacle.collision_point) -
     abs_ego_offset + additional_safe_distance_margin_on_curve_;
 
@@ -531,9 +532,9 @@ double PlannerInterface::calcDistanceToCollisionPoint(
     ego_nearest_param_.findSegmentIndex(planner_data.traj_points, planner_data.ego_pose);
 
   const size_t collision_segment_idx =
-    motion_utils::findNearestSegmentIndex(planner_data.traj_points, collision_point);
+    autoware::motion_utils::findNearestSegmentIndex(planner_data.traj_points, collision_point);
 
-  const auto dist_to_collision_point = motion_utils::calcSignedArcLength(
+  const auto dist_to_collision_point = autoware::motion_utils::calcSignedArcLength(
     planner_data.traj_points, planner_data.ego_pose.position, ego_segment_idx, collision_point,
     collision_segment_idx);
 
@@ -552,7 +553,7 @@ std::vector<TrajectoryPoint> PlannerInterface::generateSlowDownTrajectory(
   const double dist_to_ego = [&]() {
     const size_t ego_seg_idx =
       ego_nearest_param_.findSegmentIndex(slow_down_traj_points, planner_data.ego_pose);
-    return motion_utils::calcSignedArcLength(
+    return autoware::motion_utils::calcSignedArcLength(
       slow_down_traj_points, 0, planner_data.ego_pose.position, ego_seg_idx);
   }();
   const double abs_ego_offset = planner_data.is_driving_forward
@@ -561,7 +562,8 @@ std::vector<TrajectoryPoint> PlannerInterface::generateSlowDownTrajectory(
 
   // define function to insert slow down velocity to trajectory
   const auto insert_point_in_trajectory = [&](const double lon_dist) -> std::optional<size_t> {
-    const auto inserted_idx = motion_utils::insertTargetPoint(0, lon_dist, slow_down_traj_points);
+    const auto inserted_idx =
+      autoware::motion_utils::insertTargetPoint(0, lon_dist, slow_down_traj_points);
     if (inserted_idx) {
       if (inserted_idx.value() + 1 <= slow_down_traj_points.size() - 1) {
         // zero-order hold for velocity interpolation
@@ -596,8 +598,9 @@ std::vector<TrajectoryPoint> PlannerInterface::generateSlowDownTrajectory(
         obstacle.uuid.c_str());
       continue;
     }
-    const auto [dist_to_slow_down_start, dist_to_slow_down_end, feasible_slow_down_vel] =
-      *dist_vec_to_slow_down;
+    const auto dist_to_slow_down_start = std::get<0>(*dist_vec_to_slow_down);
+    const auto dist_to_slow_down_end = std::get<1>(*dist_vec_to_slow_down);
+    const auto feasible_slow_down_vel = std::get<2>(*dist_vec_to_slow_down);
 
     // calculate slow down end distance, and insert slow down velocity
     // NOTE: slow_down_start_idx will not be wrong since inserted back point is after inserted
@@ -646,25 +649,25 @@ std::vector<TrajectoryPoint> PlannerInterface::generateSlowDownTrajectory(
         return *slow_down_end_idx;
       }();
 
-      const auto markers = motion_utils::createSlowDownVirtualWallMarker(
+      const auto markers = autoware::motion_utils::createSlowDownVirtualWallMarker(
         slow_down_traj_points.at(slow_down_wall_idx).pose, "obstacle slow down",
         planner_data.current_time, i, abs_ego_offset, "", planner_data.is_driving_forward);
-      tier4_autoware_utils::appendMarkerArray(markers, &debug_data_ptr_->slow_down_wall_marker);
+      autoware::universe_utils::appendMarkerArray(markers, &debug_data_ptr_->slow_down_wall_marker);
     }
 
     // add debug virtual wall
     if (slow_down_start_idx) {
-      const auto markers = motion_utils::createSlowDownVirtualWallMarker(
+      const auto markers = autoware::motion_utils::createSlowDownVirtualWallMarker(
         slow_down_traj_points.at(*slow_down_start_idx).pose, "obstacle slow down start",
         planner_data.current_time, i * 2, abs_ego_offset, "", planner_data.is_driving_forward);
-      tier4_autoware_utils::appendMarkerArray(
+      autoware::universe_utils::appendMarkerArray(
         markers, &debug_data_ptr_->slow_down_debug_wall_marker);
     }
     if (slow_down_end_idx) {
-      const auto markers = motion_utils::createSlowDownVirtualWallMarker(
+      const auto markers = autoware::motion_utils::createSlowDownVirtualWallMarker(
         slow_down_traj_points.at(*slow_down_end_idx).pose, "obstacle slow down end",
         planner_data.current_time, i * 2 + 1, abs_ego_offset, "", planner_data.is_driving_forward);
-      tier4_autoware_utils::appendMarkerArray(
+      autoware::universe_utils::appendMarkerArray(
         markers, &debug_data_ptr_->slow_down_debug_wall_marker);
     }
 
@@ -726,9 +729,9 @@ PlannerInterface::calculateDistanceToSlowDownWithConstraints(
 
   // calculate distance to collision points
   const double dist_to_front_collision =
-    motion_utils::calcSignedArcLength(traj_points, 0, obstacle.front_collision_point);
+    autoware::motion_utils::calcSignedArcLength(traj_points, 0, obstacle.front_collision_point);
   const double dist_to_back_collision =
-    motion_utils::calcSignedArcLength(traj_points, 0, obstacle.back_collision_point);
+    autoware::motion_utils::calcSignedArcLength(traj_points, 0, obstacle.back_collision_point);
 
   // calculate offset distance to first collision considering relative velocity
   const double relative_vel = planner_data.ego_vel - obstacle.velocity;
@@ -771,9 +774,9 @@ PlannerInterface::calculateDistanceToSlowDownWithConstraints(
   const auto apply_lowpass_filter = [&](const double dist_to_slow_down, const auto prev_point) {
     if (prev_output && prev_point) {
       const size_t seg_idx =
-        motion_utils::findNearestSegmentIndex(traj_points, prev_point->position);
+        autoware::motion_utils::findNearestSegmentIndex(traj_points, prev_point->position);
       const double prev_dist_to_slow_down =
-        motion_utils::calcSignedArcLength(traj_points, 0, prev_point->position, seg_idx);
+        autoware::motion_utils::calcSignedArcLength(traj_points, 0, prev_point->position, seg_idx);
       return signal_processing::lowpassFilter(
         dist_to_slow_down, prev_dist_to_slow_down, slow_down_param_.lpf_gain_dist_to_slow_down);
     }
diff --git a/planning/autoware_obstacle_cruise_planner/src/polygon_utils.cpp b/planning/autoware_obstacle_cruise_planner/src/polygon_utils.cpp
index e5f53d1b88c0b..8c3abe58f5d59 100644
--- a/planning/autoware_obstacle_cruise_planner/src/polygon_utils.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/polygon_utils.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/polygon_utils.hpp"
+#include "autoware/obstacle_cruise_planner/polygon_utils.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 namespace
 {
@@ -35,8 +35,8 @@ PointWithStamp calcNearestCollisionPoint(
 
   std::vector<double> dist_vec;
   for (const auto & collision_point : collision_points) {
-    const double dist =
-      motion_utils::calcLongitudinalOffsetToSegment(segment_points, 0, collision_point.point);
+    const double dist = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+      segment_points, 0, collision_point.point);
     dist_vec.push_back(dist);
   }
 
@@ -51,10 +51,10 @@ std::optional<std::pair<size_t, std::vector<PointWithStamp>>> getCollisionIndex(
   const geometry_msgs::msg::Pose & object_pose, const rclcpp::Time & object_time,
   const Shape & object_shape, const double max_dist = std::numeric_limits<double>::max())
 {
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object_pose, object_shape);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(object_pose, object_shape);
   for (size_t i = 0; i < traj_polygons.size(); ++i) {
     const double approximated_dist =
-      tier4_autoware_utils::calcDistance2d(traj_points.at(i).pose, object_pose);
+      autoware::universe_utils::calcDistance2d(traj_points.at(i).pose, object_pose);
     if (approximated_dist > max_dist) {
       continue;
     }
@@ -105,14 +105,14 @@ std::optional<std::pair<geometry_msgs::msg::Point, double>> getCollisionPoint(
 
   const double x_diff_to_bumper = is_driving_forward ? vehicle_info.max_longitudinal_offset_m
                                                      : vehicle_info.min_longitudinal_offset_m;
-  const auto bumper_pose = tier4_autoware_utils::calcOffsetPose(
+  const auto bumper_pose = autoware::universe_utils::calcOffsetPose(
     traj_points.at(collision_info->first).pose, x_diff_to_bumper, 0.0, 0.0);
 
   std::optional<double> max_collision_length = std::nullopt;
   std::optional<geometry_msgs::msg::Point> max_collision_point = std::nullopt;
   for (const auto & poly_vertex : collision_info->second) {
     const double dist_from_bumper =
-      std::abs(tier4_autoware_utils::inverseTransformPoint(poly_vertex.point, bumper_pose).x);
+      std::abs(autoware::universe_utils::inverseTransformPoint(poly_vertex.point, bumper_pose).x);
 
     if (!max_collision_length.has_value() || dist_from_bumper > *max_collision_length) {
       max_collision_length = dist_from_bumper;
@@ -120,8 +120,9 @@ std::optional<std::pair<geometry_msgs::msg::Point, double>> getCollisionPoint(
     }
   }
   return std::make_pair(
-    *max_collision_point, motion_utils::calcSignedArcLength(traj_points, 0, collision_info->first) -
-                            *max_collision_length);
+    *max_collision_point,
+    autoware::motion_utils::calcSignedArcLength(traj_points, 0, collision_info->first) -
+      *max_collision_length);
 }
 
 // NOTE: max_lat_dist is used for efficient calculation to suppress boost::geometry's polygon
diff --git a/planning/autoware_obstacle_cruise_planner/src/utils.cpp b/planning/autoware_obstacle_cruise_planner/src/utils.cpp
index cb36f35b8e837..8162d8036d9dc 100644
--- a/planning/autoware_obstacle_cruise_planner/src/utils.cpp
+++ b/planning/autoware_obstacle_cruise_planner/src/utils.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/utils.hpp"
+#include "autoware/obstacle_cruise_planner/utils.hpp"
 
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 namespace obstacle_cruise_utils
 {
@@ -59,10 +59,10 @@ visualization_msgs::msg::Marker getObjectMarker(
 {
   const auto current_time = rclcpp::Clock().now();
 
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", current_time, ns, idx, visualization_msgs::msg::Marker::SPHERE,
-    tier4_autoware_utils::createMarkerScale(2.0, 2.0, 2.0),
-    tier4_autoware_utils::createMarkerColor(r, g, b, 0.8));
+    autoware::universe_utils::createMarkerScale(2.0, 2.0, 2.0),
+    autoware::universe_utils::createMarkerColor(r, g, b, 0.8));
 
   marker.pose = obj_pose;
 
diff --git a/planning/autoware_obstacle_cruise_planner/test/test_obstacle_cruise_planner_node_interface.cpp b/planning/autoware_obstacle_cruise_planner/test/test_obstacle_cruise_planner_node_interface.cpp
index b28afba8b4895..ef5f695756b7e 100644
--- a/planning/autoware_obstacle_cruise_planner/test/test_obstacle_cruise_planner_node_interface.cpp
+++ b/planning/autoware_obstacle_cruise_planner/test/test_obstacle_cruise_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_obstacle_cruise_planner/node.hpp"
+#include "autoware/obstacle_cruise_planner/node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/common_structs.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/common_structs.hpp
similarity index 89%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/common_structs.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/common_structs.hpp
index d2de8d201d9fa..7f2688ffaad95 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/common_structs.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/common_structs.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
 
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
 #include <memory>
 #include <optional>
@@ -89,7 +89,7 @@ struct TimeKeeper
 
   double accumulated_time{0.0};
 
-  tier4_autoware_utils::StopWatch<
+  autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
 };
@@ -122,7 +122,7 @@ struct TrajectoryParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
 
     // common
     updateParam<double>(
@@ -145,7 +145,7 @@ struct EgoNearestParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
     updateParam<double>(parameters, "ego_nearest_dist_threshold", dist_threshold);
     updateParam<double>(parameters, "ego_nearest_yaw_threshold", yaw_threshold);
   }
@@ -155,4 +155,4 @@ struct EgoNearestParam
 };
 }  // namespace autoware::path_optimizer
 
-#endif  // AUTOWARE_PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__COMMON_STRUCTS_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/debug_marker.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/debug_marker.hpp
similarity index 73%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/debug_marker.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/debug_marker.hpp
index cea58a11a530a..487320330f953 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/debug_marker.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/debug_marker.hpp
@@ -11,15 +11,15 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_PATH_OPTIMIZER__DEBUG_MARKER_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__DEBUG_MARKER_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__DEBUG_MARKER_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__DEBUG_MARKER_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "rclcpp/clock.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
 
 #include <memory>
 #include <string>
@@ -32,4 +32,4 @@ MarkerArray getDebugMarker(
   const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & optimized_points,
   const autoware::vehicle_info_utils::VehicleInfo & vehicle_info, const bool publish_extra_marker);
 }  // namespace autoware::path_optimizer
-#endif  // AUTOWARE_PATH_OPTIMIZER__DEBUG_MARKER_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__DEBUG_MARKER_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/mpt_optimizer.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/mpt_optimizer.hpp
similarity index 94%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/mpt_optimizer.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/mpt_optimizer.hpp
index 98d7e131f4bdc..4303e5c7e05b4 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/mpt_optimizer.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/mpt_optimizer.hpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/state_equation_generator.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/state_equation_generator.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "gtest/gtest.h"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
 #include "osqp_interface/osqp_interface.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/Sparse>
@@ -93,9 +93,9 @@ struct ReferencePoint
 
   geometry_msgs::msg::Pose offsetDeviation(const double lat_dev, const double yaw_dev) const
   {
-    auto pose_with_deviation = tier4_autoware_utils::calcOffsetPose(pose, 0.0, lat_dev, 0.0);
+    auto pose_with_deviation = autoware::universe_utils::calcOffsetPose(pose, 0.0, lat_dev, 0.0);
     pose_with_deviation.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(getYaw() + yaw_dev);
+      autoware::universe_utils::createQuaternionFromYaw(getYaw() + yaw_dev);
     return pose_with_deviation;
   }
 };
@@ -310,4 +310,4 @@ class MPTOptimizer
   std::optional<double> calcNormalizedAvoidanceCost(const ReferencePoint & ref_point) const;
 };
 }  // namespace autoware::path_optimizer
-#endif  // AUTOWARE_PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__MPT_OPTIMIZER_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/node.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/node.hpp
similarity index 83%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/node.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/node.hpp
index c1f644d31aa9a..359c20f2a4d29 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/node.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/node.hpp
@@ -12,20 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__NODE_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__NODE_HPP_
-
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
-#include "autoware_path_optimizer/replan_checker.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#ifndef AUTOWARE__PATH_OPTIMIZER__NODE_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__NODE_HPP_
+
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
+#include "autoware/path_optimizer/replan_checker.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
 
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -52,7 +52,7 @@ class PathOptimizer : public rclcpp::Node
   public:
     bool isDrivingForward(const std::vector<PathPoint> & path_points)
     {
-      const auto is_driving_forward = motion_utils::isDrivingForward(path_points);
+      const auto is_driving_forward = autoware::motion_utils::isDrivingForward(path_points);
       is_driving_forward_ = is_driving_forward ? is_driving_forward.value() : is_driving_forward_;
       return is_driving_forward_;
     }
@@ -90,7 +90,7 @@ class PathOptimizer : public rclcpp::Node
 
   // interface subscriber
   rclcpp::Subscription<Path>::SharedPtr path_sub_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> ego_odom_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> ego_odom_sub_{
     this, "~/input/odometry"};
 
   // debug publisher
@@ -137,10 +137,10 @@ class PathOptimizer : public rclcpp::Node
 private:
   double vehicle_stop_margin_outside_drivable_area_;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::path_optimizer
 
-#endif  // AUTOWARE_PATH_OPTIMIZER__NODE_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__NODE_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/replan_checker.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/replan_checker.hpp
similarity index 87%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/replan_checker.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/replan_checker.hpp
index 26d9599f07091..57dfb4c5e4dff 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/replan_checker.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/replan_checker.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -68,4 +68,4 @@ class ReplanChecker
 };
 }  // namespace autoware::path_optimizer
 
-#endif  // AUTOWARE_PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__REPLAN_CHECKER_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/state_equation_generator.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/state_equation_generator.hpp
similarity index 82%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/state_equation_generator.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/state_equation_generator.hpp
index 0c41da0ee5f62..b8162f5ef2d32 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/state_equation_generator.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/state_equation_generator.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
-#include "autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
+#include "autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp"
 
 #include <memory>
 #include <vector>
@@ -59,4 +59,4 @@ class StateEquationGenerator
   mutable std::shared_ptr<TimeKeeper> time_keeper_ptr_;
 };
 }  // namespace autoware::path_optimizer
-#endif  // AUTOWARE_PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__STATE_EQUATION_GENERATOR_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/type_alias.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/type_alias.hpp
similarity index 91%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/type_alias.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/type_alias.hpp
index 63a5840789a6b..5b16d4d5ba5c6 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/type_alias.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/type_alias.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__TYPE_ALIAS_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__TYPE_ALIAS_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__TYPE_ALIAS_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__TYPE_ALIAS_HPP_
 
 #include "autoware_planning_msgs/msg/path.hpp"
 #include "autoware_planning_msgs/msg/path_point.hpp"
@@ -47,4 +47,4 @@ using tier4_debug_msgs::msg::Float64Stamped;
 using tier4_debug_msgs::msg::StringStamped;
 }  // namespace autoware::path_optimizer
 
-#endif  // AUTOWARE_PATH_OPTIMIZER__TYPE_ALIAS_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__TYPE_ALIAS_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/geometry_utils.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/geometry_utils.hpp
similarity index 78%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/geometry_utils.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/geometry_utils.hpp
index aa44a515a08ec..edc91bd40d4dc 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/geometry_utils.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/geometry_utils.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include <Eigen/Core>
 
@@ -36,14 +36,14 @@
 #include <string>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <>
 geometry_msgs::msg::Point getPoint(const autoware::path_optimizer::ReferencePoint & p);
 
 template <>
 geometry_msgs::msg::Pose getPose(const autoware::path_optimizer::ReferencePoint & p);
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
 namespace autoware::path_optimizer
 {
@@ -52,8 +52,8 @@ namespace geometry_utils
 template <typename T1, typename T2>
 bool isSamePoint(const T1 & t1, const T2 & t2)
 {
-  const auto p1 = tier4_autoware_utils::getPoint(t1);
-  const auto p2 = tier4_autoware_utils::getPoint(t2);
+  const auto p1 = autoware::universe_utils::getPoint(t1);
+  const auto p2 = autoware::universe_utils::getPoint(t2);
 
   constexpr double epsilon = 1e-6;
   if (epsilon < std::abs(p1.x - p2.x) || epsilon < std::abs(p1.y - p2.y)) {
@@ -69,4 +69,4 @@ bool isOutsideDrivableAreaFromRectangleFootprint(
   const bool use_footprint_polygon_for_outside_drivable_area_check);
 }  // namespace geometry_utils
 }  // namespace autoware::path_optimizer
-#endif  // AUTOWARE_PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__UTILS__GEOMETRY_UTILS_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/trajectory_utils.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/trajectory_utils.hpp
similarity index 81%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/trajectory_utils.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/trajectory_utils.hpp
index f3f528df2ec42..a54d60835aadf 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/utils/trajectory_utils.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/utils/trajectory_utils.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
 
-#include "autoware_path_optimizer/common_structs.hpp"
-#include "autoware_path_optimizer/type_alias.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/common_structs.hpp"
+#include "autoware/path_optimizer/type_alias.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include <Eigen/Core>
 
@@ -35,7 +35,7 @@
 #include <string>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <>
 geometry_msgs::msg::Point getPoint(const autoware::path_optimizer::ReferencePoint & p);
@@ -45,7 +45,7 @@ geometry_msgs::msg::Pose getPose(const autoware::path_optimizer::ReferencePoint
 
 template <>
 double getLongitudinalVelocity(const autoware::path_optimizer::ReferencePoint & p);
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
 namespace autoware::path_optimizer
 {
@@ -61,14 +61,14 @@ std::optional<size_t> getPointIndexAfter(
   }
 
   double sum_length =
-    -motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
+    -autoware::motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
 
   std::optional<size_t> output_idx{std::nullopt};
 
   // search forward
   if (sum_length < min_offset) {
     for (size_t i = target_seg_idx + 1; i < points.size(); ++i) {
-      sum_length += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+      sum_length += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
       if (min_offset < sum_length) {
         output_idx = i - 1;
       }
@@ -82,7 +82,7 @@ std::optional<size_t> getPointIndexAfter(
   // search backward
   for (size_t i = target_seg_idx; 0 < i;
        --i) {  // NOTE: use size_t since i is always positive value
-    sum_length -= tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    sum_length -= autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (sum_length < min_offset) {
       output_idx = i - 1;
     }
@@ -98,7 +98,7 @@ template <typename T>
 TrajectoryPoint convertToTrajectoryPoint(const T & point)
 {
   TrajectoryPoint traj_point;
-  traj_point.pose = tier4_autoware_utils::getPose(point);
+  traj_point.pose = autoware::universe_utils::getPose(point);
   traj_point.longitudinal_velocity_mps = point.longitudinal_velocity_mps;
   traj_point.lateral_velocity_mps = point.lateral_velocity_mps;
   traj_point.heading_rate_rps = point.heading_rate_rps;
@@ -109,8 +109,9 @@ template <>
 inline TrajectoryPoint convertToTrajectoryPoint(const ReferencePoint & ref_point)
 {
   TrajectoryPoint traj_point;
-  traj_point.pose = tier4_autoware_utils::getPose(ref_point);
-  traj_point.longitudinal_velocity_mps = tier4_autoware_utils::getLongitudinalVelocity(ref_point);
+  traj_point.pose = autoware::universe_utils::getPose(ref_point);
+  traj_point.longitudinal_velocity_mps =
+    autoware::universe_utils::getLongitudinalVelocity(ref_point);
   return traj_point;
 }
 
@@ -143,7 +144,7 @@ size_t findEgoIndex(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & ego_pose,
   const EgoNearestParam & ego_nearest_param)
 {
-  return motion_utils::findFirstNearestIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     points, ego_pose, ego_nearest_param.dist_threshold, ego_nearest_param.yaw_threshold);
 }
 
@@ -152,7 +153,7 @@ size_t findEgoSegmentIndex(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & ego_pose,
   const EgoNearestParam & ego_nearest_param)
 {
-  return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     points, ego_pose, ego_nearest_param.dist_threshold, ego_nearest_param.yaw_threshold);
 }
 
@@ -172,13 +173,13 @@ std::optional<size_t> updateFrontPointForFix(
 {
   // calculate front point to insert in points as a fixed point
   const size_t front_seg_idx_for_fix = trajectory_utils::findEgoSegmentIndex(
-    points_for_fix, tier4_autoware_utils::getPose(points.front()), ego_nearest_param);
+    points_for_fix, autoware::universe_utils::getPose(points.front()), ego_nearest_param);
   const size_t front_point_idx_for_fix = front_seg_idx_for_fix;
   const auto & front_fix_point = points_for_fix.at(front_point_idx_for_fix);
 
   // check if the points_for_fix is longer in front than points
   const double lon_offset_to_prev_front =
-    motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
+    autoware::motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
   if (0 < lon_offset_to_prev_front) {
     RCLCPP_DEBUG(
       rclcpp::get_logger("autoware_path_optimizer.trajectory_utils"),
@@ -186,7 +187,7 @@ std::optional<size_t> updateFrontPointForFix(
     return std::nullopt;
   }
 
-  const double dist = tier4_autoware_utils::calcDistance2d(points.front(), front_fix_point);
+  const double dist = autoware::universe_utils::calcDistance2d(points.front(), front_fix_point);
 
   // check if deviation is not too large
   constexpr double max_lat_error = 3.0;
@@ -215,4 +216,4 @@ void insertStopPoint(
   const size_t stop_seg_idx);
 }  // namespace trajectory_utils
 }  // namespace autoware::path_optimizer
-#endif  // AUTOWARE_PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__UTILS__TRAJECTORY_UTILS_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp
similarity index 75%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp
index ec46a96e3d12b..e59b332ecf69c 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
 
-#include "autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp"
 
 #include <Eigen/Core>
 #include <Eigen/LU>
@@ -32,4 +32,4 @@ class KinematicsBicycleModel : public VehicleModelInterface
     Eigen::MatrixXd & Ad, Eigen::MatrixXd & Bd, Eigen::MatrixXd & Wd, const double curvature,
     const double ds) const override;
 };
-#endif  // AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_BICYCLE_KINEMATICS_HPP_
diff --git a/planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp b/planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp
similarity index 83%
rename from planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp
rename to planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp
index 85180bd33b34c..1374ccae9203c 100644
--- a/planning/autoware_path_optimizer/include/autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp
+++ b/planning/autoware_path_optimizer/include/autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
-#define AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#ifndef AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#define AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
 
 #include <Eigen/Core>
 #include <Eigen/Sparse>
@@ -44,4 +44,4 @@ class VehicleModelInterface
     const double ds) const = 0;
 };
 
-#endif  // AUTOWARE_PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
+#endif  // AUTOWARE__PATH_OPTIMIZER__VEHICLE_MODEL__VEHICLE_MODEL_INTERFACE_HPP_
diff --git a/planning/autoware_path_optimizer/package.xml b/planning/autoware_path_optimizer/package.xml
index c158815999398..0830d534c7cb0 100644
--- a/planning/autoware_path_optimizer/package.xml
+++ b/planning/autoware_path_optimizer/package.xml
@@ -14,19 +14,19 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_path_optimizer/src/debug_marker.cpp b/planning/autoware_path_optimizer/src/debug_marker.cpp
index c97d5c5adec46..397c334eca5b7 100644
--- a/planning/autoware_path_optimizer/src/debug_marker.cpp
+++ b/planning/autoware_path_optimizer/src/debug_marker.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/debug_marker.hpp"
+#include "autoware/path_optimizer/debug_marker.hpp"
 
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
 
 #include "visualization_msgs/msg/marker_array.hpp"
 
 namespace autoware::path_optimizer
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 
 namespace
 {
@@ -53,16 +53,16 @@ MarkerArray getFootprintsMarkerArray(
     const double base_to_rear = vehicle_info.rear_overhang_m;
 
     marker.points.push_back(
-      tier4_autoware_utils::calcOffsetPose(traj_point.pose, base_to_front, base_to_left, 0.0)
+      autoware::universe_utils::calcOffsetPose(traj_point.pose, base_to_front, base_to_left, 0.0)
         .position);
     marker.points.push_back(
-      tier4_autoware_utils::calcOffsetPose(traj_point.pose, base_to_front, -base_to_right, 0.0)
+      autoware::universe_utils::calcOffsetPose(traj_point.pose, base_to_front, -base_to_right, 0.0)
         .position);
     marker.points.push_back(
-      tier4_autoware_utils::calcOffsetPose(traj_point.pose, -base_to_rear, -base_to_right, 0.0)
+      autoware::universe_utils::calcOffsetPose(traj_point.pose, -base_to_rear, -base_to_right, 0.0)
         .position);
     marker.points.push_back(
-      tier4_autoware_utils::calcOffsetPose(traj_point.pose, -base_to_rear, base_to_left, 0.0)
+      autoware::universe_utils::calcOffsetPose(traj_point.pose, -base_to_rear, base_to_left, 0.0)
         .position);
     marker.points.push_back(marker.points.front());
 
@@ -110,7 +110,7 @@ MarkerArray getBoundsWidthMarkerArray(
           (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.right_overhang_m;
         const double lb_y =
           ref_points.at(i).bounds_on_constraints.at(bound_idx).lower_bound - base_to_right;
-        const auto lb = tier4_autoware_utils::calcOffsetPose(pose, 0.0, lb_y, 0.0).position;
+        const auto lb = autoware::universe_utils::calcOffsetPose(pose, 0.0, lb_y, 0.0).position;
 
         lb_marker.points.push_back(pose.position);
         lb_marker.points.push_back(lb);
@@ -132,7 +132,7 @@ MarkerArray getBoundsWidthMarkerArray(
           (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.left_overhang_m;
         const double ub_y =
           ref_points.at(i).bounds_on_constraints.at(bound_idx).upper_bound + base_to_left;
-        const auto ub = tier4_autoware_utils::calcOffsetPose(pose, 0.0, ub_y, 0.0).position;
+        const auto ub = autoware::universe_utils::calcOffsetPose(pose, 0.0, ub_y, 0.0).position;
 
         ub_marker.points.push_back(pose.position);
         ub_marker.points.push_back(ub);
@@ -167,11 +167,11 @@ MarkerArray getBoundsLineMarkerArray(
     const double base_to_right = (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.right_overhang_m;
     const double base_to_left = (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.left_overhang_m;
     const double ub_y = ref_points.at(i).bounds.upper_bound + base_to_left;
-    const auto ub = tier4_autoware_utils::calcOffsetPose(pose, 0.0, ub_y, 0.0).position;
+    const auto ub = autoware::universe_utils::calcOffsetPose(pose, 0.0, ub_y, 0.0).position;
     ub_marker.points.push_back(ub);
 
     const double lb_y = ref_points.at(i).bounds.lower_bound - base_to_right;
-    const auto lb = tier4_autoware_utils::calcOffsetPose(pose, 0.0, lb_y, 0.0).position;
+    const auto lb = autoware::universe_utils::calcOffsetPose(pose, 0.0, lb_y, 0.0).position;
     lb_marker.points.push_back(lb);
   }
   marker_array.markers.push_back(ub_marker);
@@ -205,22 +205,22 @@ MarkerArray getVehicleCircleLinesMarkerArray(
 
     // apply lateral and yaw deviation
     auto pose_with_deviation =
-      tier4_autoware_utils::calcOffsetPose(ref_point.pose, 0.0, lat_dev, 0.0);
+      autoware::universe_utils::calcOffsetPose(ref_point.pose, 0.0, lat_dev, 0.0);
     pose_with_deviation.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(ref_point.getYaw() + yaw_dev);
+      autoware::universe_utils::createQuaternionFromYaw(ref_point.getYaw() + yaw_dev);
 
     for (const double d : vehicle_circle_longitudinal_offsets) {
       // apply longitudinal offset
-      auto base_pose = tier4_autoware_utils::calcOffsetPose(pose_with_deviation, d, 0.0, 0.0);
+      auto base_pose = autoware::universe_utils::calcOffsetPose(pose_with_deviation, d, 0.0, 0.0);
       base_pose.orientation =
-        tier4_autoware_utils::createQuaternionFromYaw(ref_point.getYaw() + ref_point.alpha);
+        autoware::universe_utils::createQuaternionFromYaw(ref_point.getYaw() + ref_point.alpha);
       const double base_to_right =
         (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.right_overhang_m;
       const double base_to_left = (vehicle_info.wheel_tread_m / 2.0) + vehicle_info.left_overhang_m;
       const auto ub =
-        tier4_autoware_utils::calcOffsetPose(base_pose, 0.0, base_to_left, 0.0).position;
+        autoware::universe_utils::calcOffsetPose(base_pose, 0.0, base_to_left, 0.0).position;
       const auto lb =
-        tier4_autoware_utils::calcOffsetPose(base_pose, 0.0, -base_to_right, 0.0).position;
+        autoware::universe_utils::calcOffsetPose(base_pose, 0.0, -base_to_right, 0.0).position;
 
       marker.points.push_back(ub);
       marker.points.push_back(lb);
@@ -247,7 +247,7 @@ MarkerArray getCurrentVehicleCirclesMarkerArray(
       "map", rclcpp::Clock().now(), ns, id, Marker::LINE_STRIP, createMarkerScale(0.05, 0.0, 0.0),
       createMarkerColor(r, g, b, 0.8));
     marker.lifetime = rclcpp::Duration::from_seconds(1.5);
-    marker.pose = tier4_autoware_utils::calcOffsetPose(ego_pose, offset, 0.0, 0.0);
+    marker.pose = autoware::universe_utils::calcOffsetPose(ego_pose, offset, 0.0, 0.0);
 
     constexpr size_t circle_dividing_num = 16;
     for (size_t e_idx = 0; e_idx < circle_dividing_num + 1; ++e_idx) {
@@ -289,7 +289,7 @@ MarkerArray getVehicleCirclesMarkerArray(
         "map", rclcpp::Clock().now(), ns, id, Marker::LINE_STRIP, createMarkerScale(0.05, 0.0, 0.0),
         createMarkerColor(r, g, b, 0.8));
       marker.lifetime = rclcpp::Duration::from_seconds(1.5);
-      marker.pose = tier4_autoware_utils::calcOffsetPose(mpt_traj_point.pose, offset, 0.0, 0.0);
+      marker.pose = autoware::universe_utils::calcOffsetPose(mpt_traj_point.pose, offset, 0.0, 0.0);
 
       constexpr size_t circle_dividing_num = 16;
       for (size_t e_idx = 0; e_idx < circle_dividing_num + 1; ++e_idx) {
@@ -356,13 +356,15 @@ visualization_msgs::msg::MarkerArray getFootprintByDrivableAreaMarkerArray(
   const double base_to_rear = vehicle_info.rear_overhang_m;
 
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(stop_pose, base_to_front, base_to_left, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(stop_pose, base_to_front, base_to_left, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(stop_pose, base_to_front, -base_to_right, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(stop_pose, base_to_front, -base_to_right, 0.0)
+      .position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(stop_pose, -base_to_rear, -base_to_right, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(stop_pose, -base_to_rear, -base_to_right, 0.0)
+      .position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(stop_pose, -base_to_rear, base_to_left, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(stop_pose, -base_to_rear, base_to_left, 0.0).position);
   marker.points.push_back(marker.points.front());
 
   msg.markers.push_back(marker);
diff --git a/planning/autoware_path_optimizer/src/mpt_optimizer.cpp b/planning/autoware_path_optimizer/src/mpt_optimizer.cpp
index 0652085d85c48..b5fd266006a48 100644
--- a/planning/autoware_path_optimizer/src/mpt_optimizer.cpp
+++ b/planning/autoware_path_optimizer/src/mpt_optimizer.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
-
-#include "autoware_path_optimizer/utils/geometry_utils.hpp"
-#include "autoware_path_optimizer/utils/trajectory_utils.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
+
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/utils/geometry_utils.hpp"
+#include "autoware/path_optimizer/utils/trajectory_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/normalization.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "tf2/utils.h"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/normalization.hpp"
 
 #include <algorithm>
 #include <chrono>
@@ -125,8 +125,8 @@ std::vector<double> toStdVector(const Eigen::VectorXd & eigen_vec)
 bool isLeft(const geometry_msgs::msg::Pose & pose, const geometry_msgs::msg::Point & target_pos)
 {
   const double base_theta = tf2::getYaw(pose.orientation);
-  const double target_theta = tier4_autoware_utils::calcAzimuthAngle(pose.position, target_pos);
-  const double diff_theta = tier4_autoware_utils::normalizeRadian(target_theta - base_theta);
+  const double target_theta = autoware::universe_utils::calcAzimuthAngle(pose.position, target_pos);
+  const double diff_theta = autoware::universe_utils::normalizeRadian(target_theta - base_theta);
   return diff_theta > 0;
 }
 
@@ -141,18 +141,18 @@ double calcLateralDistToBounds(
   const double max_lat_offset = is_left_bound ? max_lat_offset_for_left : -max_lat_offset_for_left;
   const double min_lat_offset = is_left_bound ? min_lat_offset_for_left : -min_lat_offset_for_left;
   const auto max_lat_offset_point =
-    tier4_autoware_utils::calcOffsetPose(pose, 0.0, max_lat_offset, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, 0.0, max_lat_offset, 0.0).position;
   const auto min_lat_offset_point =
-    tier4_autoware_utils::calcOffsetPose(pose, 0.0, min_lat_offset, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, 0.0, min_lat_offset, 0.0).position;
 
   double closest_dist_to_bound = max_lat_offset;
   for (size_t i = 0; i < bound.size() - 1; ++i) {
-    const auto intersect_point = tier4_autoware_utils::intersect(
+    const auto intersect_point = autoware::universe_utils::intersect(
       min_lat_offset_point, max_lat_offset_point, bound.at(i), bound.at(i + 1));
     if (intersect_point) {
       const bool is_point_left = isLeft(pose, *intersect_point);
       const double dist_to_bound =
-        tier4_autoware_utils::calcDistance2d(pose.position, *intersect_point) *
+        autoware::universe_utils::calcDistance2d(pose.position, *intersect_point) *
         (is_point_left ? 1.0 : -1.0);
 
       // the bound which is closest to the centerline will be chosen
@@ -283,7 +283,7 @@ MPTOptimizer::MPTParam::MPTParam(
 
 void MPTOptimizer::MPTParam::onParam(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   {  // option
     updateParam<bool>(parameters, "mpt.option.steer_limit_constraint", steer_limit_constraint);
@@ -564,7 +564,7 @@ std::vector<ReferencePoint> MPTOptimizer::calcReferencePoints(
   constexpr double tmp_margin = 10.0;
   size_t ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(ref_points, p.ego_pose, ego_nearest_param_);
-  ref_points = motion_utils::cropPoints(
+  ref_points = autoware::motion_utils::cropPoints(
     ref_points, p.ego_pose.position, ego_seg_idx, forward_traj_length + tmp_margin,
     backward_traj_length + tmp_margin);
 
@@ -579,7 +579,7 @@ std::vector<ReferencePoint> MPTOptimizer::calcReferencePoints(
 
   // 4. crop backward
   // NOTE: Start point may change. Spline calculation is required.
-  ref_points = motion_utils::cropPoints(
+  ref_points = autoware::motion_utils::cropPoints(
     ref_points, p.ego_pose.position, ego_seg_idx, forward_traj_length + tmp_margin,
     backward_traj_length);
   ref_points_spline = SplineInterpolationPoints2d(ref_points);
@@ -605,7 +605,7 @@ std::vector<ReferencePoint> MPTOptimizer::calcReferencePoints(
   updateExtraPoints(ref_points);
 
   // 9. crop forward
-  // ref_points = motion_utils::cropForwardPoints(
+  // ref_points = autoware::motion_utils::cropForwardPoints(
   //   ref_points, p.ego_pose.position, ego_seg_idx, forward_traj_length);
   if (static_cast<size_t>(mpt_param_.num_points) < ref_points.size()) {
     ref_points.resize(mpt_param_.num_points);
@@ -623,7 +623,7 @@ void MPTOptimizer::updateOrientation(
   const auto yaw_vec = ref_points_spline.getSplineInterpolatedYaws();
   for (size_t i = 0; i < ref_points.size(); ++i) {
     ref_points.at(i).pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(yaw_vec.at(i));
+      autoware::universe_utils::createQuaternionFromYaw(yaw_vec.at(i));
   }
 }
 
@@ -691,7 +691,7 @@ void MPTOptimizer::updateDeltaArcLength(std::vector<ReferencePoint> & ref_points
     ref_points.at(i).delta_arc_length =
       (i == ref_points.size() - 1)
         ? 0.0
-        : tier4_autoware_utils::calcDistance2d(ref_points.at(i + 1), ref_points.at(i));
+        : autoware::universe_utils::calcDistance2d(ref_points.at(i + 1), ref_points.at(i));
   }
 }
 
@@ -704,14 +704,14 @@ void MPTOptimizer::updateExtraPoints(std::vector<ReferencePoint> & ref_points) c
     const auto front_wheel_pos =
       trajectory_utils::getNearestPosition(ref_points, i, vehicle_info_.wheel_base_m);
 
-    const bool are_too_close_points =
-      tier4_autoware_utils::calcDistance2d(front_wheel_pos, ref_points.at(i).pose.position) < 1e-03;
-    const auto front_wheel_yaw =
-      are_too_close_points
-        ? ref_points.at(i).getYaw()
-        : tier4_autoware_utils::calcAzimuthAngle(ref_points.at(i).pose.position, front_wheel_pos);
+    const bool are_too_close_points = autoware::universe_utils::calcDistance2d(
+                                        front_wheel_pos, ref_points.at(i).pose.position) < 1e-03;
+    const auto front_wheel_yaw = are_too_close_points
+                                   ? ref_points.at(i).getYaw()
+                                   : autoware::universe_utils::calcAzimuthAngle(
+                                       ref_points.at(i).pose.position, front_wheel_pos);
     ref_points.at(i).alpha =
-      tier4_autoware_utils::normalizeRadian(front_wheel_yaw - ref_points.at(i).getYaw());
+      autoware::universe_utils::normalizeRadian(front_wheel_yaw - ref_points.at(i).getYaw());
   }
 
   {  // avoidance
@@ -771,10 +771,10 @@ void MPTOptimizer::updateExtraPoints(std::vector<ReferencePoint> & ref_points) c
     if (prev_ref_points_ptr_ && !prev_ref_points_ptr_->empty()) {
       for (int i = 0; i < static_cast<int>(ref_points.size()); ++i) {
         const size_t prev_idx = trajectory_utils::findEgoIndex(
-          *prev_ref_points_ptr_, tier4_autoware_utils::getPose(ref_points.at(i)),
+          *prev_ref_points_ptr_, autoware::universe_utils::getPose(ref_points.at(i)),
           ego_nearest_param_);
 
-        const double dist_to_prev = tier4_autoware_utils::calcDistance2d(
+        const double dist_to_prev = autoware::universe_utils::calcDistance2d(
           ref_points.at(i), prev_ref_points_ptr_->at(prev_idx));
         if (max_dist_threshold < dist_to_prev) {
           continue;
@@ -954,7 +954,6 @@ void MPTOptimizer::keepMinimumBoundsWidth(std::vector<ReferencePoint> & ref_poin
       // much.
       b.lower_bound =
         std::min(b.lower_bound, original_b.upper_bound - min_dynamic_drivable_width_vec.at(p_idx));
-      continue;
     }
     // extend longitudinal if it overlaps out_of_upper_bound_sections
     if (upper_bound_start_idx) {
@@ -1004,7 +1003,6 @@ void MPTOptimizer::keepMinimumBoundsWidth(std::vector<ReferencePoint> & ref_poin
       // much.
       b.upper_bound =
         std::max(b.upper_bound, original_b.lower_bound + min_dynamic_drivable_width_vec.at(p_idx));
-      continue;
     }
     // extend longitudinal if it overlaps out_of_lower_bound_sections
     if (lower_bound_start_idx) {
@@ -1081,7 +1079,8 @@ void MPTOptimizer::avoidSuddenSteering(
     return;
   }
   const size_t prev_ego_idx = trajectory_utils::findEgoIndex(
-    *prev_ref_points_ptr_, tier4_autoware_utils::getPose(ref_points.front()), ego_nearest_param_);
+    *prev_ref_points_ptr_, autoware::universe_utils::getPose(ref_points.front()),
+    ego_nearest_param_);
 
   const double max_bound_fixing_length = ego_vel * mpt_param_.max_bound_fixing_time;
   const int max_bound_fixing_idx =
@@ -1128,11 +1127,11 @@ void MPTOptimizer::updateVehicleBounds(
         collision_check_pose.position.y - ref_point.pose.position.y,
         collision_check_pose.position.x - ref_point.pose.position.x);
       const double offset_y =
-        -tier4_autoware_utils::calcDistance2d(ref_point, collision_check_pose) *
+        -autoware::universe_utils::calcDistance2d(ref_point, collision_check_pose) *
         std::sin(tmp_yaw - collision_check_yaw);
 
       const auto vehicle_bounds_pose =
-        tier4_autoware_utils::calcOffsetPose(collision_check_pose, 0.0, offset_y, 0.0);
+        autoware::universe_utils::calcOffsetPose(collision_check_pose, 0.0, offset_y, 0.0);
 
       // interpolate bounds
       const auto bounds = [&]() {
@@ -1586,7 +1585,7 @@ Eigen::VectorXd MPTOptimizer::calcInitialSolutionForManualWarmStart(
 
   Eigen::VectorXd u0 = Eigen::VectorXd::Zero(D_un);
 
-  const size_t nearest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const size_t nearest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     prev_ref_points, ref_points.front().pose, ego_nearest_param_.dist_threshold,
     ego_nearest_param_.yaw_threshold);
 
@@ -1712,17 +1711,17 @@ void MPTOptimizer::publishDebugTrajectories(
   time_keeper_ptr_->tic(__func__);
 
   // reference points
-  const auto ref_traj = motion_utils::convertToTrajectory(
+  const auto ref_traj = autoware::motion_utils::convertToTrajectory(
     trajectory_utils::convertToTrajectoryPoints(ref_points), header);
   debug_ref_traj_pub_->publish(ref_traj);
 
   // fixed reference points
   const auto fixed_traj_points = extractFixedPoints(ref_points);
-  const auto fixed_traj = motion_utils::convertToTrajectory(fixed_traj_points, header);
+  const auto fixed_traj = autoware::motion_utils::convertToTrajectory(fixed_traj_points, header);
   debug_fixed_traj_pub_->publish(fixed_traj);
 
   // mpt points
-  const auto mpt_traj = motion_utils::convertToTrajectory(mpt_traj_points, header);
+  const auto mpt_traj = autoware::motion_utils::convertToTrajectory(mpt_traj_points, header);
   debug_mpt_traj_pub_->publish(mpt_traj);
 
   time_keeper_ptr_->toc(__func__, "        ");
diff --git a/planning/autoware_path_optimizer/src/node.cpp b/planning/autoware_path_optimizer/src/node.cpp
index d9df26938a9f8..3899867a9dcce 100644
--- a/planning/autoware_path_optimizer/src/node.cpp
+++ b/planning/autoware_path_optimizer/src/node.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/node.hpp"
+#include "autoware/path_optimizer/node.hpp"
 
-#include "autoware_path_optimizer/debug_marker.hpp"
-#include "autoware_path_optimizer/utils/geometry_utils.hpp"
-#include "autoware_path_optimizer/utils/trajectory_utils.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/path_optimizer/debug_marker.hpp"
+#include "autoware/path_optimizer/utils/geometry_utils.hpp"
+#include "autoware/path_optimizer/utils/trajectory_utils.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
 #include "rclcpp/time.hpp"
 
 #include <chrono>
@@ -56,7 +56,7 @@ Float64Stamped createFloat64Stamped(const rclcpp::Time & now, const float & data
 
 void setZeroVelocityAfterStopPoint(std::vector<TrajectoryPoint> & traj_points)
 {
-  const auto opt_zero_vel_idx = motion_utils::searchZeroVelocityIndex(traj_points);
+  const auto opt_zero_vel_idx = autoware::motion_utils::searchZeroVelocityIndex(traj_points);
   if (opt_zero_vel_idx) {
     for (size_t i = opt_zero_vel_idx.value(); i < traj_points.size(); ++i) {
       traj_points.at(i).longitudinal_velocity_mps = 0.0;
@@ -75,7 +75,7 @@ std::vector<double> calcSegmentLengthVector(const std::vector<TrajectoryPoint> &
   std::vector<double> segment_length_vector;
   for (size_t i = 0; i < points.size() - 1; ++i) {
     const double segment_length =
-      tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i + 1));
+      autoware::universe_utils::calcDistance2d(points.at(i), points.at(i + 1));
     segment_length_vector.push_back(segment_length);
   }
   return segment_length_vector;
@@ -150,14 +150,15 @@ PathOptimizer::PathOptimizer(const rclcpp::NodeOptions & node_options)
   set_param_res_ = this->add_on_set_parameters_callback(
     std::bind(&PathOptimizer::onParam, this, std::placeholders::_1));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 rcl_interfaces::msg::SetParametersResult PathOptimizer::onParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   // parameters for option
   updateParam<bool>(
@@ -244,7 +245,8 @@ void PathOptimizer::onPath(const Path::ConstSharedPtr path_ptr)
       "Backward path is NOT supported. Just converting path to trajectory");
 
     const auto traj_points = trajectory_utils::convertToTrajectoryPoints(path_ptr->points);
-    const auto output_traj_msg = motion_utils::convertToTrajectory(traj_points, path_ptr->header);
+    const auto output_traj_msg =
+      autoware::motion_utils::convertToTrajectory(traj_points, path_ptr->header);
     traj_pub_->publish(output_traj_msg);
     published_time_publisher_->publish_if_subscribed(traj_pub_, output_traj_msg.header.stamp);
     return;
@@ -277,7 +279,7 @@ void PathOptimizer::onPath(const Path::ConstSharedPtr path_ptr)
     createFloat64Stamped(now(), time_keeper_ptr_->getAccumulatedTime()));
 
   const auto output_traj_msg =
-    motion_utils::convertToTrajectory(full_traj_points, path_ptr->header);
+    autoware::motion_utils::convertToTrajectory(full_traj_points, path_ptr->header);
   traj_pub_->publish(output_traj_msg);
   published_time_publisher_->publish_if_subscribed(traj_pub_, output_traj_msg.header.stamp);
 }
@@ -398,7 +400,7 @@ void PathOptimizer::applyInputVelocity(
 
     const size_t ego_seg_idx =
       trajectory_utils::findEgoSegmentIndex(input_traj_points, ego_pose, ego_nearest_param_);
-    const auto cropped_points = motion_utils::cropForwardPoints(
+    const auto cropped_points = autoware::motion_utils::cropForwardPoints(
       input_traj_points, ego_pose.position, ego_seg_idx,
       optimized_traj_length + margin_traj_length);
 
@@ -450,14 +452,15 @@ void PathOptimizer::applyInputVelocity(
   }
 
   // insert stop point explicitly
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(forward_cropped_input_traj_points);
+  const auto stop_idx =
+    autoware::motion_utils::searchZeroVelocityIndex(forward_cropped_input_traj_points);
   if (stop_idx) {
     const auto & input_stop_pose = forward_cropped_input_traj_points.at(stop_idx.value()).pose;
-    // NOTE: motion_utils::findNearestSegmentIndex is used instead of
+    // NOTE: autoware::motion_utils::findNearestSegmentIndex is used instead of
     // trajectory_utils::findEgoSegmentIndex
     //       for the case where input_traj_points is much longer than output_traj_points, and the
     //       former has a stop point but the latter will not have.
-    const auto stop_seg_idx = motion_utils::findNearestSegmentIndex(
+    const auto stop_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
       output_traj_points, input_stop_pose, ego_nearest_param_.dist_threshold,
       ego_nearest_param_.yaw_threshold);
 
@@ -468,10 +471,10 @@ void PathOptimizer::applyInputVelocity(
       }
       if (*stop_seg_idx == output_traj_points.size() - 2) {
         const double signed_projected_length_to_segment =
-          motion_utils::calcLongitudinalOffsetToSegment(
+          autoware::motion_utils::calcLongitudinalOffsetToSegment(
             output_traj_points, *stop_seg_idx, input_stop_pose.position);
-        const double segment_length =
-          motion_utils::calcSignedArcLength(output_traj_points, *stop_seg_idx, *stop_seg_idx + 1);
+        const double segment_length = autoware::motion_utils::calcSignedArcLength(
+          output_traj_points, *stop_seg_idx, *stop_seg_idx + 1);
         if (segment_length < signed_projected_length_to_segment) {
           // NOTE: input_stop_pose is outside output_traj_points.
           return false;
@@ -530,10 +533,10 @@ void PathOptimizer::insertZeroVelocityOutsideDrivableArea(
     debug_data_ptr_->stop_pose_by_drivable_area = optimized_traj_points.at(*first_outside_idx).pose;
     const auto stop_idx = [&]() {
       const auto dist =
-        motion_utils::calcSignedArcLength(optimized_traj_points, 0, *first_outside_idx);
+        autoware::motion_utils::calcSignedArcLength(optimized_traj_points, 0, *first_outside_idx);
       const auto dist_with_margin = dist - vehicle_stop_margin_outside_drivable_area_;
       const auto first_outside_idx_with_margin =
-        motion_utils::insertTargetPoint(0, dist_with_margin, optimized_traj_points);
+        autoware::motion_utils::insertTargetPoint(0, dist_with_margin, optimized_traj_points);
       if (first_outside_idx_with_margin) {
         return *first_outside_idx_with_margin;
       }
@@ -558,11 +561,11 @@ void PathOptimizer::publishVirtualWall(const geometry_msgs::msg::Pose & stop_pos
 {
   time_keeper_ptr_->tic(__func__);
 
-  auto virtual_wall_marker = motion_utils::createStopVirtualWallMarker(
+  auto virtual_wall_marker = autoware::motion_utils::createStopVirtualWallMarker(
     stop_pose, "outside drivable area", now(), 0, vehicle_info_.max_longitudinal_offset_m);
   if (!enable_outside_drivable_area_stop_) {
     virtual_wall_marker.markers.front().color =
-      tier4_autoware_utils::createMarkerColor(0.0, 1.0, 0.0, 0.5);
+      autoware::universe_utils::createMarkerColor(0.0, 1.0, 0.0, 0.5);
   }
 
   virtual_wall_pub_->publish(virtual_wall_marker);
@@ -661,7 +664,7 @@ void PathOptimizer::publishDebugData(const Header & header) const
 
   // publish trajectories
   const auto debug_extended_traj =
-    motion_utils::convertToTrajectory(debug_data_ptr_->extended_traj_points, header);
+    autoware::motion_utils::convertToTrajectory(debug_data_ptr_->extended_traj_points, header);
   debug_extended_traj_pub_->publish(debug_extended_traj);
 
   time_keeper_ptr_->toc(__func__, "  ");
diff --git a/planning/autoware_path_optimizer/src/replan_checker.cpp b/planning/autoware_path_optimizer/src/replan_checker.cpp
index 6745872f50b02..11e31bfd2d459 100644
--- a/planning/autoware_path_optimizer/src/replan_checker.cpp
+++ b/planning/autoware_path_optimizer/src/replan_checker.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/replan_checker.hpp"
+#include "autoware/path_optimizer/replan_checker.hpp"
 
-#include "autoware_path_optimizer/utils/trajectory_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/utils/trajectory_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <vector>
 
@@ -39,7 +39,7 @@ ReplanChecker::ReplanChecker(rclcpp::Node * node, const EgoNearestParam & ego_ne
 
 void ReplanChecker::onParam(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   updateParam<double>(
     parameters, "replan.max_path_shape_around_ego_lat_dist", max_path_shape_around_ego_lat_dist_);
@@ -78,7 +78,7 @@ bool ReplanChecker::isResetRequired(const PlannerData & planner_data) const
 
     // ego pose is lost or new ego pose is designated in simulation
     const double delta_dist =
-      tier4_autoware_utils::calcDistance2d(p.ego_pose, prev_ego_pose_ptr_->position);
+      autoware::universe_utils::calcDistance2d(p.ego_pose, prev_ego_pose_ptr_->position);
     if (max_ego_moving_dist_ < delta_dist) {
       RCLCPP_DEBUG(
         logger_,
@@ -144,14 +144,14 @@ bool ReplanChecker::isPathAroundEgoChanged(
   // calculate ego's lateral offset to previous trajectory points
   const auto prev_ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(prev_traj_points, p.ego_pose, ego_nearest_param_);
-  const double prev_ego_lat_offset =
-    motion_utils::calcLateralOffset(prev_traj_points, p.ego_pose.position, prev_ego_seg_idx);
+  const double prev_ego_lat_offset = autoware::motion_utils::calcLateralOffset(
+    prev_traj_points, p.ego_pose.position, prev_ego_seg_idx);
 
   // calculate ego's lateral offset to current trajectory points
   const auto ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(p.traj_points, p.ego_pose, ego_nearest_param_);
   const double ego_lat_offset =
-    motion_utils::calcLateralOffset(p.traj_points, p.ego_pose.position, ego_seg_idx);
+    autoware::motion_utils::calcLateralOffset(p.traj_points, p.ego_pose.position, ego_seg_idx);
 
   const double diff_ego_lat_offset = prev_ego_lat_offset - ego_lat_offset;
   if (std::abs(diff_ego_lat_offset) < max_path_shape_around_ego_lat_dist_) {
@@ -174,17 +174,17 @@ bool ReplanChecker::isPathForwardChanged(
   constexpr double lon_dist_interval = 10.0;
   for (double lon_dist = lon_dist_interval; lon_dist <= max_path_shape_forward_lon_dist_;
        lon_dist += lon_dist_interval) {
-    const auto prev_forward_point =
-      motion_utils::calcLongitudinalOffsetPoint(prev_traj_points, prev_ego_seg_idx, lon_dist);
+    const auto prev_forward_point = autoware::motion_utils::calcLongitudinalOffsetPoint(
+      prev_traj_points, prev_ego_seg_idx, lon_dist);
     if (!prev_forward_point) {
       continue;
     }
 
     // calculate lateral offset of current trajectory points to prev forward point
     const auto forward_seg_idx =
-      motion_utils::findNearestSegmentIndex(p.traj_points, *prev_forward_point);
-    const double forward_lat_offset =
-      motion_utils::calcLateralOffset(p.traj_points, *prev_forward_point, forward_seg_idx);
+      autoware::motion_utils::findNearestSegmentIndex(p.traj_points, *prev_forward_point);
+    const double forward_lat_offset = autoware::motion_utils::calcLateralOffset(
+      p.traj_points, *prev_forward_point, forward_seg_idx);
     if (max_path_shape_forward_lat_dist_ < std::abs(forward_lat_offset)) {
       return true;
     }
@@ -205,7 +205,7 @@ bool ReplanChecker::isPathGoalChanged(
   }
 
   const double goal_moving_dist =
-    tier4_autoware_utils::calcDistance2d(p.traj_points.back(), prev_traj_points.back());
+    autoware::universe_utils::calcDistance2d(p.traj_points.back(), prev_traj_points.back());
   if (goal_moving_dist < max_goal_moving_dist_) {
     return false;
   }
diff --git a/planning/autoware_path_optimizer/src/state_equation_generator.cpp b/planning/autoware_path_optimizer/src/state_equation_generator.cpp
index ec6a9e575be95..5aa2ab4ffbfa8 100644
--- a/planning/autoware_path_optimizer/src/state_equation_generator.cpp
+++ b/planning/autoware_path_optimizer/src/state_equation_generator.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/state_equation_generator.hpp"
+#include "autoware/path_optimizer/state_equation_generator.hpp"
 
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
 
 namespace autoware::path_optimizer
 {
diff --git a/planning/autoware_path_optimizer/src/utils/geometry_utils.cpp b/planning/autoware_path_optimizer/src/utils/geometry_utils.cpp
index 99eb85d27e054..bed9bbfa500c6 100644
--- a/planning/autoware_path_optimizer/src/utils/geometry_utils.cpp
+++ b/planning/autoware_path_optimizer/src/utils/geometry_utils.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/utils/geometry_utils.hpp"
+#include "autoware/path_optimizer/utils/geometry_utils.hpp"
 
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
 #include "tf2/utils.h"
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -39,17 +39,17 @@
 namespace autoware::path_optimizer
 {
 namespace bg = boost::geometry;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
 namespace
 {
 geometry_msgs::msg::Point getStartPoint(
   const std::vector<geometry_msgs::msg::Point> & bound, const geometry_msgs::msg::Point & point)
 {
-  const size_t segment_idx = motion_utils::findNearestSegmentIndex(bound, point);
+  const size_t segment_idx = autoware::motion_utils::findNearestSegmentIndex(bound, point);
   const auto & curr_seg_point = bound.at(segment_idx);
   const auto & next_seg_point = bound.at(segment_idx);
   const Eigen::Vector2d first_to_target{point.x - curr_seg_point.x, point.y - curr_seg_point.y};
@@ -61,7 +61,8 @@ geometry_msgs::msg::Point getStartPoint(
     return bound.front();
   }
 
-  const auto first_point = motion_utils::calcLongitudinalOffsetPoint(bound, segment_idx, length);
+  const auto first_point =
+    autoware::motion_utils::calcLongitudinalOffsetPoint(bound, segment_idx, length);
   if (first_point) {
     return *first_point;
   }
@@ -84,7 +85,8 @@ bool isFrontDrivableArea(
 
   // ignore point behind of the front line
   const std::vector<geometry_msgs::msg::Point> front_bound = {left_start_point, right_start_point};
-  const double lat_dist_to_front_bound = motion_utils::calcLateralOffset(front_bound, point);
+  const double lat_dist_to_front_bound =
+    autoware::motion_utils::calcLateralOffset(front_bound, point);
   if (lat_dist_to_front_bound < min_dist) {
     return true;
   }
@@ -134,13 +136,13 @@ bool isOutsideDrivableAreaFromRectangleFootprint(
 
   // calculate footprint corner points
   const auto top_left_pos =
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, base_to_left, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, base_to_left, 0.0).position;
   const auto top_right_pos =
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, -base_to_right, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, -base_to_right, 0.0).position;
   const auto bottom_right_pos =
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, -base_to_right, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, -base_to_right, 0.0).position;
   const auto bottom_left_pos =
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, base_to_left, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, base_to_left, 0.0).position;
 
   if (use_footprint_polygon_for_outside_drivable_area_check) {
     // calculate footprint polygon
diff --git a/planning/autoware_path_optimizer/src/utils/trajectory_utils.cpp b/planning/autoware_path_optimizer/src/utils/trajectory_utils.cpp
index 75e2b75b232e0..433d1d0995088 100644
--- a/planning/autoware_path_optimizer/src/utils/trajectory_utils.cpp
+++ b/planning/autoware_path_optimizer/src/utils/trajectory_utils.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/utils/trajectory_utils.hpp"
+#include "autoware/path_optimizer/utils/trajectory_utils.hpp"
 
-#include "autoware_path_optimizer/mpt_optimizer.hpp"
-#include "autoware_path_optimizer/utils/geometry_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_optimizer/mpt_optimizer.hpp"
+#include "autoware/path_optimizer/utils/geometry_utils.hpp"
 #include "tf2/utils.h"
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
@@ -33,7 +33,7 @@
 #include <stack>
 #include <vector>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 template <>
 geometry_msgs::msg::Point getPoint(const autoware::path_optimizer::ReferencePoint & p)
@@ -52,7 +52,7 @@ double getLongitudinalVelocity(const autoware::path_optimizer::ReferencePoint &
 {
   return p.longitudinal_velocity_mps;
 }
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
 namespace autoware::path_optimizer
 {
@@ -108,12 +108,12 @@ void compensateLastPose(
 
   const geometry_msgs::msg::Pose last_traj_pose = traj_points.back().pose;
 
-  const double dist =
-    tier4_autoware_utils::calcDistance2d(last_path_point.pose.position, last_traj_pose.position);
+  const double dist = autoware::universe_utils::calcDistance2d(
+    last_path_point.pose.position, last_traj_pose.position);
   const double norm_diff_yaw = [&]() {
     const double diff_yaw =
       tf2::getYaw(last_path_point.pose.orientation) - tf2::getYaw(last_traj_pose.orientation);
-    return tier4_autoware_utils::normalizeRadian(diff_yaw);
+    return autoware::universe_utils::normalizeRadian(diff_yaw);
   }();
   if (dist > delta_dist_threshold || std::fabs(norm_diff_yaw) > delta_yaw_threshold) {
     traj_points.push_back(convertToTrajectoryPoint(last_path_point));
@@ -140,10 +140,10 @@ std::vector<TrajectoryPoint> resampleTrajectoryPoints(
 {
   constexpr bool enable_resampling_stop_point = true;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 // NOTE: stop point will not be resampled
@@ -152,10 +152,10 @@ std::vector<TrajectoryPoint> resampleTrajectoryPointsWithoutStopPoint(
 {
   constexpr bool enable_resampling_stop_point = false;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 std::vector<ReferencePoint> resampleReferencePoints(
@@ -175,7 +175,7 @@ std::vector<ReferencePoint> resampleReferencePoints(
       base_keys.push_back(0.0);
     } else {
       const double delta_arc_length =
-        tier4_autoware_utils::calcDistance2d(ref_points.at(i), ref_points.at(i - 1));
+        autoware::universe_utils::calcDistance2d(ref_points.at(i), ref_points.at(i - 1));
       base_keys.push_back(base_keys.back() + delta_arc_length);
     }
 
@@ -187,7 +187,7 @@ std::vector<ReferencePoint> resampleReferencePoints(
     if (i == 0) {
       query_keys.push_back(0.0);
     } else {
-      const double delta_arc_length = tier4_autoware_utils::calcDistance2d(
+      const double delta_arc_length = autoware::universe_utils::calcDistance2d(
         resampled_ref_points.at(i), resampled_ref_points.at(i - 1));
       const double key = query_keys.back() + delta_arc_length;
       if (base_keys.back() < key) {
@@ -220,7 +220,7 @@ void insertStopPoint(
   std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & input_stop_pose,
   const size_t stop_seg_idx)
 {
-  const double offset_to_segment = motion_utils::calcLongitudinalOffsetToSegment(
+  const double offset_to_segment = autoware::motion_utils::calcLongitudinalOffsetToSegment(
     traj_points, stop_seg_idx, input_stop_pose.position);
 
   const auto traj_spline = SplineInterpolationPoints2d(traj_points);
diff --git a/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp b/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
index 89e9e0e2c9b74..58ea31545ef0f 100644
--- a/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
+++ b/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_bicycle_kinematics.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
+#include "autoware/path_optimizer/vehicle_model/vehicle_model_bicycle_kinematics.hpp"
 
 #include <iostream>
 #include <limits>
diff --git a/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_interface.cpp b/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_interface.cpp
index 57e4671a4e0cc..55e0a61dac430 100644
--- a/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_interface.cpp
+++ b/planning/autoware_path_optimizer/src/vehicle_model/vehicle_model_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/vehicle_model/vehicle_model_interface.hpp"
+#include "autoware/path_optimizer/vehicle_model/vehicle_model_interface.hpp"
 
 VehicleModelInterface::VehicleModelInterface(
   const int dim_x, const int dim_u, const int dim_y, const double wheelbase,
diff --git a/planning/autoware_path_optimizer/test/test_path_optimizer_node_interface.cpp b/planning/autoware_path_optimizer/test/test_path_optimizer_node_interface.cpp
index 8be7806c7e48a..9d24702cf75ea 100644
--- a/planning/autoware_path_optimizer/test/test_path_optimizer_node_interface.cpp
+++ b/planning/autoware_path_optimizer/test/test_path_optimizer_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_optimizer/node.hpp"
+#include "autoware/path_optimizer/node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/common_structs.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/common_structs.hpp
similarity index 88%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/common_structs.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/common_structs.hpp
index 18f5ef82fd6d4..0b7e28ee1cbb5 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/common_structs.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/common_structs.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__COMMON_STRUCTS_HPP_
-#define AUTOWARE_PATH_SMOOTHER__COMMON_STRUCTS_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__COMMON_STRUCTS_HPP_
+#define AUTOWARE__PATH_SMOOTHER__COMMON_STRUCTS_HPP_
 
-#include "autoware_path_smoother/type_alias.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
 #include <memory>
 #include <optional>
@@ -83,7 +83,7 @@ struct TimeKeeper
 
   double accumulated_time{0.0};
 
-  tier4_autoware_utils::StopWatch<
+  autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
 };
@@ -100,7 +100,7 @@ struct CommonParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
 
     // common
     updateParam<double>(
@@ -123,7 +123,7 @@ struct EgoNearestParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
     updateParam<double>(parameters, "ego_nearest_dist_threshold", dist_threshold);
     updateParam<double>(parameters, "ego_nearest_yaw_threshold", yaw_threshold);
   }
@@ -133,4 +133,4 @@ struct EgoNearestParam
 };
 }  // namespace autoware::path_smoother
 
-#endif  // AUTOWARE_PATH_SMOOTHER__COMMON_STRUCTS_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__COMMON_STRUCTS_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band.hpp
similarity index 93%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band.hpp
index 65b9db9098561..1d0441c66c481 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_HPP_
-#define AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_HPP_
+#define AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_HPP_
 
-#include "autoware_path_smoother/common_structs.hpp"
-#include "autoware_path_smoother/type_alias.hpp"
+#include "autoware/path_smoother/common_structs.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
 #include "osqp_interface/osqp_interface.hpp"
 
 #include <Eigen/Core>
@@ -130,4 +130,4 @@ class EBPathSmoother
 };
 }  // namespace autoware::path_smoother
 
-#endif  // AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band_smoother.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band_smoother.hpp
similarity index 76%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band_smoother.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band_smoother.hpp
index 16a4b2bb39db7..2de74a4f14f4f 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/elastic_band_smoother.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/elastic_band_smoother.hpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
-#define AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
-
-#include "autoware_path_smoother/common_structs.hpp"
-#include "autoware_path_smoother/elastic_band.hpp"
-#include "autoware_path_smoother/replan_checker.hpp"
-#include "autoware_path_smoother/type_alias.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#ifndef AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
+#define AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
+
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_smoother/common_structs.hpp"
+#include "autoware/path_smoother/elastic_band.hpp"
+#include "autoware/path_smoother/replan_checker.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
 
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -49,7 +49,7 @@ class ElasticBandSmoother : public rclcpp::Node
   public:
     bool isDrivingForward(const std::vector<PathPoint> & path_points)
     {
-      const auto is_driving_forward = motion_utils::isDrivingForward(path_points);
+      const auto is_driving_forward = autoware::motion_utils::isDrivingForward(path_points);
       is_driving_forward_ = is_driving_forward ? is_driving_forward.value() : is_driving_forward_;
       return is_driving_forward_;
     }
@@ -82,7 +82,8 @@ class ElasticBandSmoother : public rclcpp::Node
 
   // interface subscriber
   rclcpp::Subscription<Path>::SharedPtr path_sub_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> odom_sub_{this, "~/input/odometry"};
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> odom_sub_{
+    this, "~/input/odometry"};
 
   // debug publisher
   rclcpp::Publisher<Trajectory>::SharedPtr debug_extended_traj_pub_;
@@ -112,10 +113,10 @@ class ElasticBandSmoother : public rclcpp::Node
     const std::vector<TrajectoryPoint> & traj_points,
     const std::vector<TrajectoryPoint> & optimized_points) const;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::path_smoother
 
-#endif  // AUTOWARE_PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__ELASTIC_BAND_SMOOTHER_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/replan_checker.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/replan_checker.hpp
similarity index 89%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/replan_checker.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/replan_checker.hpp
index 35b0e0102068b..8c33121b1b36b 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/replan_checker.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/replan_checker.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__REPLAN_CHECKER_HPP_
-#define AUTOWARE_PATH_SMOOTHER__REPLAN_CHECKER_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__REPLAN_CHECKER_HPP_
+#define AUTOWARE__PATH_SMOOTHER__REPLAN_CHECKER_HPP_
 
-#include "autoware_path_smoother/common_structs.hpp"
-#include "autoware_path_smoother/type_alias.hpp"
+#include "autoware/path_smoother/common_structs.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -68,4 +68,4 @@ class ReplanChecker
 };
 }  // namespace autoware::path_smoother
 
-#endif  // AUTOWARE_PATH_SMOOTHER__REPLAN_CHECKER_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__REPLAN_CHECKER_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/type_alias.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/type_alias.hpp
similarity index 90%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/type_alias.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/type_alias.hpp
index dc565d69d3c4d..5ec4b21955892 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/type_alias.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/type_alias.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__TYPE_ALIAS_HPP_
-#define AUTOWARE_PATH_SMOOTHER__TYPE_ALIAS_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__TYPE_ALIAS_HPP_
+#define AUTOWARE__PATH_SMOOTHER__TYPE_ALIAS_HPP_
 
 #include "autoware_planning_msgs/msg/path.hpp"
 #include "autoware_planning_msgs/msg/path_point.hpp"
@@ -41,4 +41,4 @@ using tier4_debug_msgs::msg::Float64Stamped;
 using tier4_debug_msgs::msg::StringStamped;
 }  // namespace autoware::path_smoother
 
-#endif  // AUTOWARE_PATH_SMOOTHER__TYPE_ALIAS_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__TYPE_ALIAS_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/utils/geometry_utils.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/utils/geometry_utils.hpp
similarity index 72%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/utils/geometry_utils.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/utils/geometry_utils.hpp
index 6cdf34f319442..603ae8a91f944 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/utils/geometry_utils.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/utils/geometry_utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
-#define AUTOWARE_PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
+#define AUTOWARE__PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 namespace autoware::path_smoother
 {
@@ -24,12 +24,12 @@ namespace geometry_utils
 template <typename T1, typename T2>
 bool isSamePoint(const T1 & t1, const T2 & t2)
 {
-  const auto p1 = tier4_autoware_utils::getPoint(t1);
-  const auto p2 = tier4_autoware_utils::getPoint(t2);
+  const auto p1 = autoware::universe_utils::getPoint(t1);
+  const auto p2 = autoware::universe_utils::getPoint(t2);
 
   constexpr double epsilon = 1e-6;
   return (std::abs(p1.x - p2.x) <= epsilon && std::abs(p1.y - p2.y) <= epsilon);
 }
 }  // namespace geometry_utils
 }  // namespace autoware::path_smoother
-#endif  // AUTOWARE_PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__UTILS__GEOMETRY_UTILS_HPP_
diff --git a/planning/autoware_path_smoother/include/autoware_path_smoother/utils/trajectory_utils.hpp b/planning/autoware_path_smoother/include/autoware/path_smoother/utils/trajectory_utils.hpp
similarity index 82%
rename from planning/autoware_path_smoother/include/autoware_path_smoother/utils/trajectory_utils.hpp
rename to planning/autoware_path_smoother/include/autoware/path_smoother/utils/trajectory_utils.hpp
index ea717fae20ef4..77a9dbae81a0c 100644
--- a/planning/autoware_path_smoother/include/autoware_path_smoother/utils/trajectory_utils.hpp
+++ b/planning/autoware_path_smoother/include/autoware/path_smoother/utils/trajectory_utils.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
-#define AUTOWARE_PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
+#ifndef AUTOWARE__PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
+#define AUTOWARE__PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
 
-#include "autoware_path_smoother/common_structs.hpp"
-#include "autoware_path_smoother/type_alias.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_smoother/common_structs.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include <Eigen/Core>
 
@@ -49,14 +49,14 @@ std::optional<size_t> getPointIndexAfter(
   }
 
   double sum_length =
-    -motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
+    -autoware::motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
 
   std::optional<size_t> output_idx{std::nullopt};
 
   // search forward
   if (sum_length < min_offset) {
     for (size_t i = target_seg_idx + 1; i < points.size(); ++i) {
-      sum_length += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+      sum_length += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
       if (min_offset < sum_length) {
         output_idx = i - 1;
       }
@@ -70,7 +70,7 @@ std::optional<size_t> getPointIndexAfter(
   // search backward
   for (size_t i = target_seg_idx; 0 < i;
        --i) {  // NOTE: use size_t since i is always positive value
-    sum_length -= tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    sum_length -= autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (sum_length < min_offset) {
       output_idx = i - 1;
     }
@@ -86,7 +86,7 @@ template <typename T>
 TrajectoryPoint convertToTrajectoryPoint(const T & point)
 {
   TrajectoryPoint traj_point;
-  traj_point.pose = tier4_autoware_utils::getPose(point);
+  traj_point.pose = autoware::universe_utils::getPose(point);
   traj_point.longitudinal_velocity_mps = point.longitudinal_velocity_mps;
   traj_point.lateral_velocity_mps = point.lateral_velocity_mps;
   traj_point.heading_rate_rps = point.heading_rate_rps;
@@ -109,7 +109,7 @@ size_t findEgoSegmentIndex(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & ego_pose,
   const EgoNearestParam & ego_nearest_param)
 {
-  return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     points, ego_pose, ego_nearest_param.dist_threshold, ego_nearest_param.yaw_threshold);
 }
 
@@ -128,13 +128,13 @@ std::optional<size_t> updateFrontPointForFix(
 {
   // calculate front point to insert in points as a fixed point
   const size_t front_seg_idx_for_fix = trajectory_utils::findEgoSegmentIndex(
-    points_for_fix, tier4_autoware_utils::getPose(points.front()), ego_nearest_param);
+    points_for_fix, autoware::universe_utils::getPose(points.front()), ego_nearest_param);
   const size_t front_point_idx_for_fix = front_seg_idx_for_fix;
   const auto & front_fix_point = points_for_fix.at(front_point_idx_for_fix);
 
   // check if the points_for_fix is longer in front than points
   const double lon_offset_to_prev_front =
-    motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
+    autoware::motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
   if (0 < lon_offset_to_prev_front) {
     RCLCPP_DEBUG(
       rclcpp::get_logger("autoware_path_smoother.trajectory_utils"),
@@ -142,7 +142,7 @@ std::optional<size_t> updateFrontPointForFix(
     return std::nullopt;
   }
 
-  const double dist = tier4_autoware_utils::calcDistance2d(points.front(), front_fix_point);
+  const double dist = autoware::universe_utils::calcDistance2d(points.front(), front_fix_point);
 
   // check if deviation is not too large
   constexpr double max_lat_error = 3.0;
@@ -171,4 +171,4 @@ void insertStopPoint(
   const size_t stop_seg_idx);
 }  // namespace trajectory_utils
 }  // namespace autoware::path_smoother
-#endif  // AUTOWARE_PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
+#endif  // AUTOWARE__PATH_SMOOTHER__UTILS__TRAJECTORY_UTILS_HPP_
diff --git a/planning/autoware_path_smoother/package.xml b/planning/autoware_path_smoother/package.xml
index 445f8a0e6e736..6cecef433fc3e 100644
--- a/planning/autoware_path_smoother/package.xml
+++ b/planning/autoware_path_smoother/package.xml
@@ -14,18 +14,18 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_path_smoother/src/elastic_band.cpp b/planning/autoware_path_smoother/src/elastic_band.cpp
index a443cfd37caec..4222e0fe98438 100644
--- a/planning/autoware_path_smoother/src/elastic_band.cpp
+++ b/planning/autoware_path_smoother/src/elastic_band.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_smoother/elastic_band.hpp"
+#include "autoware/path_smoother/elastic_band.hpp"
 
-#include "autoware_path_smoother/type_alias.hpp"
-#include "autoware_path_smoother/utils/geometry_utils.hpp"
-#include "autoware_path_smoother/utils/trajectory_utils.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_smoother/type_alias.hpp"
+#include "autoware/path_smoother/utils/geometry_utils.hpp"
+#include "autoware/path_smoother/utils/trajectory_utils.hpp"
 #include "tf2/utils.h"
 
 #include <Eigen/Core>
@@ -125,7 +125,7 @@ EBPathSmoother::EBParam::EBParam(rclcpp::Node * node)
 
 void EBPathSmoother::EBParam::onParam(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   {  // option
     updateParam<bool>(parameters, "elastic_band.option.enable_warm_start", enable_warm_start);
@@ -212,7 +212,7 @@ std::vector<TrajectoryPoint> EBPathSmoother::smoothTrajectory(
 
   const size_t ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(traj_points, ego_pose, ego_nearest_param_);
-  const auto cropped_traj_points = motion_utils::cropPoints(
+  const auto cropped_traj_points = autoware::motion_utils::cropPoints(
     traj_points, ego_pose.position, ego_seg_idx, forward_traj_length, backward_traj_length);
 
   // check if goal is contained in cropped_traj_points
@@ -263,7 +263,7 @@ std::vector<TrajectoryPoint> EBPathSmoother::smoothTrajectory(
 
   // 8. publish eb trajectory
   const auto eb_traj =
-    motion_utils::convertToTrajectory(*eb_traj_points, createHeader(clock_.now()));
+    autoware::motion_utils::convertToTrajectory(*eb_traj_points, createHeader(clock_.now()));
   debug_eb_traj_pub_->publish(eb_traj);
 
   time_keeper_ptr_->toc(__func__, "      ");
@@ -389,8 +389,8 @@ void EBPathSmoother::updateConstraint(
   }
 
   // publish fixed trajectory
-  const auto eb_fixed_traj =
-    motion_utils::convertToTrajectory(debug_fixed_traj_points, createHeader(clock_.now()));
+  const auto eb_fixed_traj = autoware::motion_utils::convertToTrajectory(
+    debug_fixed_traj_points, createHeader(clock_.now()));
   debug_eb_fixed_traj_pub_->publish(eb_fixed_traj);
 
   time_keeper_ptr_->toc(__func__, "        ");
@@ -443,12 +443,12 @@ std::optional<std::vector<TrajectoryPoint>> EBPathSmoother::convertOptimizedPoin
 
     auto eb_traj_point = traj_points.at(i);
     eb_traj_point.pose =
-      tier4_autoware_utils::calcOffsetPose(eb_traj_point.pose, 0.0, lat_offset, 0.0);
+      autoware::universe_utils::calcOffsetPose(eb_traj_point.pose, 0.0, lat_offset, 0.0);
     eb_traj_points.push_back(eb_traj_point);
   }
 
   // update orientation
-  motion_utils::insertOrientation(eb_traj_points, true);
+  autoware::motion_utils::insertOrientation(eb_traj_points, true);
 
   time_keeper_ptr_->toc(__func__, "        ");
   return eb_traj_points;
diff --git a/planning/autoware_path_smoother/src/elastic_band_smoother.cpp b/planning/autoware_path_smoother/src/elastic_band_smoother.cpp
index 2f507c8bae311..b92798f92728c 100644
--- a/planning/autoware_path_smoother/src/elastic_band_smoother.cpp
+++ b/planning/autoware_path_smoother/src/elastic_band_smoother.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_smoother/elastic_band_smoother.hpp"
+#include "autoware/path_smoother/elastic_band_smoother.hpp"
 
-#include "autoware_path_smoother/utils/geometry_utils.hpp"
-#include "autoware_path_smoother/utils/trajectory_utils.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/path_smoother/utils/geometry_utils.hpp"
+#include "autoware/path_smoother/utils/trajectory_utils.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
 #include "rclcpp/time.hpp"
 
 #include <chrono>
@@ -54,7 +54,7 @@ Float64Stamped createFloat64Stamped(const rclcpp::Time & now, const float & data
 
 void setZeroVelocityAfterStopPoint(std::vector<TrajectoryPoint> & traj_points)
 {
-  const auto opt_zero_vel_idx = motion_utils::searchZeroVelocityIndex(traj_points);
+  const auto opt_zero_vel_idx = autoware::motion_utils::searchZeroVelocityIndex(traj_points);
   if (opt_zero_vel_idx) {
     for (size_t i = opt_zero_vel_idx.value(); i < traj_points.size(); ++i) {
       traj_points.at(i).longitudinal_velocity_mps = 0.0;
@@ -105,14 +105,15 @@ ElasticBandSmoother::ElasticBandSmoother(const rclcpp::NodeOptions & node_option
   set_param_res_ = this->add_on_set_parameters_callback(
     std::bind(&ElasticBandSmoother::onParam, this, std::placeholders::_1));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 rcl_interfaces::msg::SetParametersResult ElasticBandSmoother::onParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   // parameters for ego nearest search
   ego_nearest_param_.onParam(parameters);
@@ -168,7 +169,8 @@ void ElasticBandSmoother::onPath(const Path::ConstSharedPtr path_ptr)
       "Backward path is NOT supported. Just converting path to trajectory");
 
     const auto traj_points = trajectory_utils::convertToTrajectoryPoints(path_ptr->points);
-    const auto output_traj_msg = motion_utils::convertToTrajectory(traj_points, path_ptr->header);
+    const auto output_traj_msg =
+      autoware::motion_utils::convertToTrajectory(traj_points, path_ptr->header);
     traj_pub_->publish(output_traj_msg);
     path_pub_->publish(*path_ptr);
     published_time_publisher_->publish_if_subscribed(path_pub_, path_ptr->header.stamp);
@@ -222,7 +224,7 @@ void ElasticBandSmoother::onPath(const Path::ConstSharedPtr path_ptr)
     createFloat64Stamped(now(), time_keeper_ptr_->getAccumulatedTime()));
 
   const auto output_traj_msg =
-    motion_utils::convertToTrajectory(full_traj_points, path_ptr->header);
+    autoware::motion_utils::convertToTrajectory(full_traj_points, path_ptr->header);
   traj_pub_->publish(output_traj_msg);
   const auto output_path_msg = trajectory_utils::create_path(*path_ptr, full_traj_points);
   path_pub_->publish(output_path_msg);
@@ -259,12 +261,12 @@ void ElasticBandSmoother::applyInputVelocity(
   time_keeper_ptr_->tic(__func__);
 
   // crop forward for faster calculation
-  const double output_traj_length = motion_utils::calcArcLength(output_traj_points);
+  const double output_traj_length = autoware::motion_utils::calcArcLength(output_traj_points);
   constexpr double margin_traj_length = 10.0;
   const auto forward_cropped_input_traj_points = [&]() {
     const size_t ego_seg_idx =
       trajectory_utils::findEgoSegmentIndex(input_traj_points, ego_pose, ego_nearest_param_);
-    return motion_utils::cropForwardPoints(
+    return autoware::motion_utils::cropForwardPoints(
       input_traj_points, ego_pose.position, ego_seg_idx, output_traj_length + margin_traj_length);
   }();
 
@@ -286,14 +288,15 @@ void ElasticBandSmoother::applyInputVelocity(
   }
 
   // insert stop point explicitly
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(forward_cropped_input_traj_points);
+  const auto stop_idx =
+    autoware::motion_utils::searchZeroVelocityIndex(forward_cropped_input_traj_points);
   if (stop_idx) {
     const auto & input_stop_pose = forward_cropped_input_traj_points.at(stop_idx.value()).pose;
-    // NOTE: motion_utils::findNearestSegmentIndex is used instead of
+    // NOTE: autoware::motion_utils::findNearestSegmentIndex is used instead of
     // trajectory_utils::findEgoSegmentIndex
     //       for the case where input_traj_points is much longer than output_traj_points, and the
     //       former has a stop point but the latter will not have.
-    const auto stop_seg_idx = motion_utils::findNearestSegmentIndex(
+    const auto stop_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
       output_traj_points, input_stop_pose, ego_nearest_param_.dist_threshold,
       ego_nearest_param_.yaw_threshold);
 
@@ -304,10 +307,10 @@ void ElasticBandSmoother::applyInputVelocity(
       }
       if (*stop_seg_idx == output_traj_points.size() - 2) {
         const double signed_projected_length_to_segment =
-          motion_utils::calcLongitudinalOffsetToSegment(
+          autoware::motion_utils::calcLongitudinalOffsetToSegment(
             output_traj_points, *stop_seg_idx, input_stop_pose.position);
-        const double segment_length =
-          motion_utils::calcSignedArcLength(output_traj_points, *stop_seg_idx, *stop_seg_idx + 1);
+        const double segment_length = autoware::motion_utils::calcSignedArcLength(
+          output_traj_points, *stop_seg_idx, *stop_seg_idx + 1);
         if (segment_length < signed_projected_length_to_segment) {
           // NOTE: input_stop_pose is outside output_traj_points.
           return false;
diff --git a/planning/autoware_path_smoother/src/replan_checker.cpp b/planning/autoware_path_smoother/src/replan_checker.cpp
index 4e5911ea5b42e..5d2e7a05e4b17 100644
--- a/planning/autoware_path_smoother/src/replan_checker.cpp
+++ b/planning/autoware_path_smoother/src/replan_checker.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_smoother/replan_checker.hpp"
+#include "autoware/path_smoother/replan_checker.hpp"
 
-#include "autoware_path_smoother/utils/trajectory_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/path_smoother/utils/trajectory_utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <vector>
 
@@ -40,7 +40,7 @@ ReplanChecker::ReplanChecker(rclcpp::Node * node, const EgoNearestParam & ego_ne
 
 void ReplanChecker::onParam(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   updateParam<bool>(parameters, "replan.enable", enable_);
   updateParam<double>(
@@ -80,7 +80,7 @@ bool ReplanChecker::isResetRequired(const PlannerData & planner_data) const
 
     // ego pose is lost or new ego pose is designated in simulation
     const double delta_dist =
-      tier4_autoware_utils::calcDistance2d(p.ego_pose, prev_ego_pose_ptr_->position);
+      autoware::universe_utils::calcDistance2d(p.ego_pose, prev_ego_pose_ptr_->position);
     if (max_ego_moving_dist_ < delta_dist) {
       RCLCPP_DEBUG(
         logger_,
@@ -140,14 +140,14 @@ bool ReplanChecker::isPathAroundEgoChanged(
   // calculate ego's lateral offset to previous trajectory points
   const auto prev_ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(prev_traj_points, p.ego_pose, ego_nearest_param_);
-  const double prev_ego_lat_offset =
-    motion_utils::calcLateralOffset(prev_traj_points, p.ego_pose.position, prev_ego_seg_idx);
+  const double prev_ego_lat_offset = autoware::motion_utils::calcLateralOffset(
+    prev_traj_points, p.ego_pose.position, prev_ego_seg_idx);
 
   // calculate ego's lateral offset to current trajectory points
   const auto ego_seg_idx =
     trajectory_utils::findEgoSegmentIndex(p.traj_points, p.ego_pose, ego_nearest_param_);
   const double ego_lat_offset =
-    motion_utils::calcLateralOffset(p.traj_points, p.ego_pose.position, ego_seg_idx);
+    autoware::motion_utils::calcLateralOffset(p.traj_points, p.ego_pose.position, ego_seg_idx);
 
   const double diff_ego_lat_offset = prev_ego_lat_offset - ego_lat_offset;
   if (std::abs(diff_ego_lat_offset) < max_path_shape_around_ego_lat_dist_) {
@@ -170,17 +170,17 @@ bool ReplanChecker::isPathForwardChanged(
   constexpr double lon_dist_interval = 10.0;
   for (double lon_dist = lon_dist_interval; lon_dist <= max_path_shape_forward_lon_dist_;
        lon_dist += lon_dist_interval) {
-    const auto prev_forward_point =
-      motion_utils::calcLongitudinalOffsetPoint(prev_traj_points, prev_ego_seg_idx, lon_dist);
+    const auto prev_forward_point = autoware::motion_utils::calcLongitudinalOffsetPoint(
+      prev_traj_points, prev_ego_seg_idx, lon_dist);
     if (!prev_forward_point) {
       continue;
     }
 
     // calculate lateral offset of current trajectory points to prev forward point
     const auto forward_seg_idx =
-      motion_utils::findNearestSegmentIndex(p.traj_points, *prev_forward_point);
-    const double forward_lat_offset =
-      motion_utils::calcLateralOffset(p.traj_points, *prev_forward_point, forward_seg_idx);
+      autoware::motion_utils::findNearestSegmentIndex(p.traj_points, *prev_forward_point);
+    const double forward_lat_offset = autoware::motion_utils::calcLateralOffset(
+      p.traj_points, *prev_forward_point, forward_seg_idx);
     if (max_path_shape_forward_lat_dist_ < std::abs(forward_lat_offset)) {
       return true;
     }
@@ -201,7 +201,7 @@ bool ReplanChecker::isPathGoalChanged(
   }
 
   const double goal_moving_dist =
-    tier4_autoware_utils::calcDistance2d(p.traj_points.back(), prev_traj_points.back());
+    autoware::universe_utils::calcDistance2d(p.traj_points.back(), prev_traj_points.back());
   if (goal_moving_dist < max_goal_moving_dist_) {
     return false;
   }
diff --git a/planning/autoware_path_smoother/src/utils/trajectory_utils.cpp b/planning/autoware_path_smoother/src/utils/trajectory_utils.cpp
index 5fea20c9a405f..4a36359ded4f3 100644
--- a/planning/autoware_path_smoother/src/utils/trajectory_utils.cpp
+++ b/planning/autoware_path_smoother/src/utils/trajectory_utils.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_smoother/utils/trajectory_utils.hpp"
+#include "autoware/path_smoother/utils/trajectory_utils.hpp"
 
-#include "autoware_path_smoother/utils/geometry_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/path_smoother/utils/geometry_utils.hpp"
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -54,10 +54,10 @@ std::vector<TrajectoryPoint> resampleTrajectoryPoints(
 {
   constexpr bool enable_resampling_stop_point = true;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 // NOTE: stop point will not be resampled
@@ -66,17 +66,17 @@ std::vector<TrajectoryPoint> resampleTrajectoryPointsWithoutStopPoint(
 {
   constexpr bool enable_resampling_stop_point = false;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 void insertStopPoint(
   std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & input_stop_pose,
   const size_t stop_seg_idx)
 {
-  const double offset_to_segment = motion_utils::calcLongitudinalOffsetToSegment(
+  const double offset_to_segment = autoware::motion_utils::calcLongitudinalOffsetToSegment(
     traj_points, stop_seg_idx, input_stop_pose.position);
 
   const auto traj_spline = SplineInterpolationPoints2d(traj_points);
diff --git a/planning/autoware_path_smoother/test/test_autoware_path_smoother_node_interface.cpp b/planning/autoware_path_smoother/test/test_autoware_path_smoother_node_interface.cpp
index ed24c50325330..7c92763f94521 100644
--- a/planning/autoware_path_smoother/test/test_autoware_path_smoother_node_interface.cpp
+++ b/planning/autoware_path_smoother/test/test_autoware_path_smoother_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_path_smoother/elastic_band_smoother.hpp"
+#include "autoware/path_smoother/elastic_band_smoother.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_planning_test_manager/include/autoware_planning_test_manager/autoware_planning_test_manager_utils.hpp b/planning/autoware_planning_test_manager/include/autoware_planning_test_manager/autoware_planning_test_manager_utils.hpp
index 0e86740bd5b9a..9a93b647dac02 100644
--- a/planning/autoware_planning_test_manager/include/autoware_planning_test_manager/autoware_planning_test_manager_utils.hpp
+++ b/planning/autoware_planning_test_manager/include/autoware_planning_test_manager/autoware_planning_test_manager_utils.hpp
@@ -14,7 +14,7 @@
 
 #ifndef AUTOWARE_PLANNING_TEST_MANAGER__AUTOWARE_PLANNING_TEST_MANAGER_UTILS_HPP_
 #define AUTOWARE_PLANNING_TEST_MANAGER__AUTOWARE_PLANNING_TEST_MANAGER_UTILS_HPP_
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <autoware_test_utils/autoware_test_utils.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
@@ -57,8 +57,8 @@ Pose createPoseFromLaneID(const lanelet::Id & lane_id)
   // calculate middle pose
   geometry_msgs::msg::Pose middle_pose;
   middle_pose.position = middle_pos;
-  const double yaw = tier4_autoware_utils::calcAzimuthAngle(middle_pos, next_middle_pos);
-  middle_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  const double yaw = autoware::universe_utils::calcAzimuthAngle(middle_pos, next_middle_pos);
+  middle_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
 
   return middle_pose;
 }
diff --git a/planning/autoware_planning_test_manager/package.xml b/planning/autoware_planning_test_manager/package.xml
index 6ccebfc2f56fe..416528257fe3b 100644
--- a/planning/autoware_planning_test_manager/package.xml
+++ b/planning/autoware_planning_test_manager/package.xml
@@ -15,22 +15,22 @@
 
   <depend>autoware_control_msgs</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_test_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>component_interface_specs</depend>
   <depend>component_interface_utils</depend>
   <depend>lanelet2_extension</depend>
   <depend>lanelet2_io</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>tf2_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tier4_api_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>tier4_v2x_msgs</depend>
   <depend>unique_identifier_msgs</depend>
diff --git a/planning/autoware_planning_test_manager/src/autoware_planning_test_manager.cpp b/planning/autoware_planning_test_manager/src/autoware_planning_test_manager.cpp
index 715dc6277f419..1526e061ca4d1 100644
--- a/planning/autoware_planning_test_manager/src/autoware_planning_test_manager.cpp
+++ b/planning/autoware_planning_test_manager/src/autoware_planning_test_manager.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager_utils.hpp>
 #include <autoware_test_utils/autoware_test_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 namespace autoware::planning_test_manager
 {
@@ -296,7 +296,7 @@ void PlanningInterfaceTestManager::publishNominalPath(
 {
   autoware::test_utils::publishToTargetNode(
     test_node_, target_node, topic_name, normal_path_pub_,
-    motion_utils::convertToPath<tier4_planning_msgs::msg::PathWithLaneId>(
+    autoware::motion_utils::convertToPath<tier4_planning_msgs::msg::PathWithLaneId>(
       autoware::test_utils::loadPathWithLaneIdInYaml()),
     5);
 }
diff --git a/planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/converter_base.hpp b/planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/converter_base.hpp
similarity index 88%
rename from planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/converter_base.hpp
rename to planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/converter_base.hpp
index e3b0fe5069e92..78de864f6ba41 100644
--- a/planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/converter_base.hpp
+++ b/planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/converter_base.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
-#define AUTOWARE_PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
+#ifndef AUTOWARE__PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
+#define AUTOWARE__PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
 
 #include "rclcpp/rclcpp.hpp"
 
@@ -48,4 +48,4 @@ class ConverterBase : public rclcpp::Node
 
 }  // namespace autoware::planning_topic_converter
 
-#endif  // AUTOWARE_PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
+#endif  // AUTOWARE__PLANNING_TOPIC_CONVERTER__CONVERTER_BASE_HPP_
diff --git a/planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/path_to_trajectory.hpp b/planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/path_to_trajectory.hpp
similarity index 82%
rename from planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/path_to_trajectory.hpp
rename to planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/path_to_trajectory.hpp
index 7ca50d6c4e50c..5feec380e239d 100644
--- a/planning/autoware_planning_topic_converter/include/autoware_planning_topic_converter/path_to_trajectory.hpp
+++ b/planning/autoware_planning_topic_converter/include/autoware/planning_topic_converter/path_to_trajectory.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
-#define AUTOWARE_PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
+#ifndef AUTOWARE__PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
+#define AUTOWARE__PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
 
-#include "autoware_planning_topic_converter/converter_base.hpp"
+#include "autoware/planning_topic_converter/converter_base.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include <autoware_planning_msgs/msg/path.hpp>
@@ -42,4 +42,4 @@ class PathToTrajectory : public ConverterBase<Path, Trajectory>
 
 }  // namespace autoware::planning_topic_converter
 
-#endif  // AUTOWARE_PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
+#endif  // AUTOWARE__PLANNING_TOPIC_CONVERTER__PATH_TO_TRAJECTORY_HPP_
diff --git a/planning/autoware_planning_topic_converter/package.xml b/planning/autoware_planning_topic_converter/package.xml
index be44523fa9852..43009b2921e16 100644
--- a/planning/autoware_planning_topic_converter/package.xml
+++ b/planning/autoware_planning_topic_converter/package.xml
@@ -14,11 +14,11 @@
 
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/planning/autoware_planning_topic_converter/src/path_to_trajectory.cpp b/planning/autoware_planning_topic_converter/src/path_to_trajectory.cpp
index d7aceb1abd106..ff2f3084fc9ba 100644
--- a/planning/autoware_planning_topic_converter/src/path_to_trajectory.cpp
+++ b/planning/autoware_planning_topic_converter/src/path_to_trajectory.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_topic_converter/path_to_trajectory.hpp"
+#include "autoware/planning_topic_converter/path_to_trajectory.hpp"
 
-#include <motion_utils/trajectory/conversion.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 namespace autoware::planning_topic_converter
 {
@@ -24,7 +24,7 @@ namespace
 TrajectoryPoint convertToTrajectoryPoint(const PathPoint & point)
 {
   TrajectoryPoint traj_point;
-  traj_point.pose = tier4_autoware_utils::getPose(point);
+  traj_point.pose = autoware::universe_utils::getPose(point);
   traj_point.longitudinal_velocity_mps = point.longitudinal_velocity_mps;
   traj_point.lateral_velocity_mps = point.lateral_velocity_mps;
   traj_point.heading_rate_rps = point.heading_rate_rps;
@@ -50,7 +50,7 @@ PathToTrajectory::PathToTrajectory(const rclcpp::NodeOptions & options)
 void PathToTrajectory::process(const Path::ConstSharedPtr msg)
 {
   const auto trajectory_points = convertToTrajectoryPoints(msg->points);
-  const auto output = motion_utils::convertToTrajectory(trajectory_points, msg->header);
+  const auto output = autoware::motion_utils::convertToTrajectory(trajectory_points, msg->header);
   pub_->publish(output);
 }
 
diff --git a/planning/autoware_planning_validator/CMakeLists.txt b/planning/autoware_planning_validator/CMakeLists.txt
index da780cfdebdcf..d896fa323a619 100644
--- a/planning/autoware_planning_validator/CMakeLists.txt
+++ b/planning/autoware_planning_validator/CMakeLists.txt
@@ -11,7 +11,7 @@ ament_auto_add_library(autoware_planning_validator_helpers SHARED
 
 # planning validator
 ament_auto_add_library(autoware_planning_validator_component SHARED
-  include/autoware_planning_validator/planning_validator.hpp
+  include/autoware/planning_validator/planning_validator.hpp
   src/planning_validator.cpp
 )
 target_link_libraries(autoware_planning_validator_component autoware_planning_validator_helpers)
diff --git a/planning/autoware_planning_validator/include/autoware_planning_validator/debug_marker.hpp b/planning/autoware_planning_validator/include/autoware/planning_validator/debug_marker.hpp
similarity index 91%
rename from planning/autoware_planning_validator/include/autoware_planning_validator/debug_marker.hpp
rename to planning/autoware_planning_validator/include/autoware/planning_validator/debug_marker.hpp
index 955ba5bbf64ab..5e8fd31734121 100644
--- a/planning/autoware_planning_validator/include/autoware_planning_validator/debug_marker.hpp
+++ b/planning/autoware_planning_validator/include/autoware/planning_validator/debug_marker.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
-#define AUTOWARE_PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
+#ifndef AUTOWARE__PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
+#define AUTOWARE__PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -57,4 +57,4 @@ class PlanningValidatorDebugMarkerPublisher
   }
 };
 
-#endif  // AUTOWARE_PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
+#endif  // AUTOWARE__PLANNING_VALIDATOR__DEBUG_MARKER_HPP_
diff --git a/planning/autoware_planning_validator/include/autoware_planning_validator/planning_validator.hpp b/planning/autoware_planning_validator/include/autoware/planning_validator/planning_validator.hpp
similarity index 85%
rename from planning/autoware_planning_validator/include/autoware_planning_validator/planning_validator.hpp
rename to planning/autoware_planning_validator/include/autoware/planning_validator/planning_validator.hpp
index b2a9c8f2e94a4..e996855b9b4da 100644
--- a/planning/autoware_planning_validator/include/autoware_planning_validator/planning_validator.hpp
+++ b/planning/autoware_planning_validator/include/autoware/planning_validator/planning_validator.hpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
-#define AUTOWARE_PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
+#ifndef AUTOWARE__PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
+#define AUTOWARE__PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
 
-#include "autoware_planning_validator/debug_marker.hpp"
+#include "autoware/planning_validator/debug_marker.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "autoware_planning_validator/msg/planning_validator_status.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory.hpp>
 #include <diagnostic_msgs/msg/diagnostic_array.hpp>
@@ -36,13 +36,13 @@
 
 namespace autoware::planning_validator
 {
+using autoware::universe_utils::StopWatch;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
 using autoware_planning_validator::msg::PlanningValidatorStatus;
 using diagnostic_updater::DiagnosticStatusWrapper;
 using diagnostic_updater::Updater;
 using nav_msgs::msg::Odometry;
-using tier4_autoware_utils::StopWatch;
 using tier4_debug_msgs::msg::Float64Stamped;
 
 struct ValidationParams
@@ -103,7 +103,7 @@ class PlanningValidator : public rclcpp::Node
 
   void setStatus(DiagnosticStatusWrapper & stat, const bool & is_ok, const std::string & msg);
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> sub_kinematics_{
     this, "~/input/kinematics"};
   rclcpp::Subscription<Trajectory>::SharedPtr sub_traj_;
   rclcpp::Publisher<Trajectory>::SharedPtr pub_traj_;
@@ -137,12 +137,12 @@ class PlanningValidator : public rclcpp::Node
 
   std::shared_ptr<PlanningValidatorDebugMarkerPublisher> debug_pose_publisher_;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   StopWatch<std::chrono::milliseconds> stop_watch_;
 };
 }  // namespace autoware::planning_validator
 
-#endif  // AUTOWARE_PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
+#endif  // AUTOWARE__PLANNING_VALIDATOR__PLANNING_VALIDATOR_HPP_
diff --git a/planning/autoware_planning_validator/include/autoware_planning_validator/utils.hpp b/planning/autoware_planning_validator/include/autoware/planning_validator/utils.hpp
similarity index 93%
rename from planning/autoware_planning_validator/include/autoware_planning_validator/utils.hpp
rename to planning/autoware_planning_validator/include/autoware/planning_validator/utils.hpp
index 1c943f5a60e08..04cfed07a1671 100644
--- a/planning/autoware_planning_validator/include/autoware_planning_validator/utils.hpp
+++ b/planning/autoware_planning_validator/include/autoware/planning_validator/utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_PLANNING_VALIDATOR__UTILS_HPP_
-#define AUTOWARE_PLANNING_VALIDATOR__UTILS_HPP_
+#ifndef AUTOWARE__PLANNING_VALIDATOR__UTILS_HPP_
+#define AUTOWARE__PLANNING_VALIDATOR__UTILS_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -67,4 +67,4 @@ void shiftPose(geometry_msgs::msg::Pose & pose, double longitudinal);
 
 }  // namespace autoware::planning_validator
 
-#endif  // AUTOWARE_PLANNING_VALIDATOR__UTILS_HPP_
+#endif  // AUTOWARE__PLANNING_VALIDATOR__UTILS_HPP_
diff --git a/planning/autoware_planning_validator/package.xml b/planning/autoware_planning_validator/package.xml
index 541396b52b02b..f19caabaeb3ff 100644
--- a/planning/autoware_planning_validator/package.xml
+++ b/planning/autoware_planning_validator/package.xml
@@ -15,16 +15,16 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <build_depend>rosidl_default_generators</build_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_planning_validator/src/debug_marker.cpp b/planning/autoware_planning_validator/src/debug_marker.cpp
index 413611a72b5ab..7de23de8eda01 100644
--- a/planning/autoware_planning_validator/src/debug_marker.cpp
+++ b/planning/autoware_planning_validator/src/debug_marker.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/debug_marker.hpp"
+#include "autoware/planning_validator/debug_marker.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <memory>
 #include <string>
@@ -48,7 +48,7 @@ void PlanningValidatorDebugMarkerPublisher::pushPoseMarker(
 void PlanningValidatorDebugMarkerPublisher::pushPoseMarker(
   const geometry_msgs::msg::Pose & pose, const std::string & ns, int id)
 {
-  using tier4_autoware_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerColor;
 
   // append arrow marker
   std_msgs::msg::ColorRGBA color;
@@ -64,9 +64,9 @@ void PlanningValidatorDebugMarkerPublisher::pushPoseMarker(
   {
     color = createMarkerColor(0.0, 0.0, 1.0, 0.999);
   }
-  Marker marker = tier4_autoware_utils::createDefaultMarker(
+  Marker marker = autoware::universe_utils::createDefaultMarker(
     "map", node_->get_clock()->now(), ns, getMarkerId(ns), Marker::ARROW,
-    tier4_autoware_utils::createMarkerScale(0.2, 0.1, 0.3), color);
+    autoware::universe_utils::createMarkerScale(0.2, 0.1, 0.3), color);
   marker.lifetime = rclcpp::Duration::from_seconds(0.2);
   marker.pose = pose;
 
@@ -76,10 +76,10 @@ void PlanningValidatorDebugMarkerPublisher::pushPoseMarker(
 void PlanningValidatorDebugMarkerPublisher::pushWarningMsg(
   const geometry_msgs::msg::Pose & pose, const std::string & msg)
 {
-  visualization_msgs::msg::Marker marker = tier4_autoware_utils::createDefaultMarker(
+  visualization_msgs::msg::Marker marker = autoware::universe_utils::createDefaultMarker(
     "map", node_->get_clock()->now(), "warning_msg", 0, Marker::TEXT_VIEW_FACING,
-    tier4_autoware_utils::createMarkerScale(0.0, 0.0, 1.0),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.1, 0.1, 0.999));
+    autoware::universe_utils::createMarkerScale(0.0, 0.0, 1.0),
+    autoware::universe_utils::createMarkerColor(1.0, 0.1, 0.1, 0.999));
   marker.lifetime = rclcpp::Duration::from_seconds(0.2);
   marker.pose = pose;
   marker.text = msg;
@@ -89,9 +89,9 @@ void PlanningValidatorDebugMarkerPublisher::pushWarningMsg(
 void PlanningValidatorDebugMarkerPublisher::pushVirtualWall(const geometry_msgs::msg::Pose & pose)
 {
   const auto now = node_->get_clock()->now();
-  const auto stop_wall_marker =
-    motion_utils::createStopVirtualWallMarker(pose, "autoware_planning_validator", now, 0);
-  tier4_autoware_utils::appendMarkerArray(stop_wall_marker, &marker_array_virtual_wall_, now);
+  const auto stop_wall_marker = autoware::motion_utils::createStopVirtualWallMarker(
+    pose, "autoware_planning_validator", now, 0);
+  autoware::universe_utils::appendMarkerArray(stop_wall_marker, &marker_array_virtual_wall_, now);
 }
 
 void PlanningValidatorDebugMarkerPublisher::publish()
diff --git a/planning/autoware_planning_validator/src/planning_validator.cpp b/planning/autoware_planning_validator/src/planning_validator.cpp
index 9f54547eb62e1..29e8932c87842 100644
--- a/planning/autoware_planning_validator/src/planning_validator.cpp
+++ b/planning/autoware_planning_validator/src/planning_validator.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/planning_validator.hpp"
+#include "autoware/planning_validator/planning_validator.hpp"
 
-#include "autoware_planning_validator/utils.hpp"
+#include "autoware/planning_validator/utils.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <memory>
 #include <string>
@@ -44,8 +44,9 @@ PlanningValidator::PlanningValidator(const rclcpp::NodeOptions & options)
 
   setupParameters();
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void PlanningValidator::setupParameters()
@@ -449,7 +450,7 @@ bool PlanningValidator::checkValidSteeringRate(const Trajectory & trajectory)
 bool PlanningValidator::checkValidVelocityDeviation(const Trajectory & trajectory)
 {
   // TODO(horibe): set appropriate thresholds for index search
-  const auto idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     trajectory.points, current_kinematics_->pose.pose);
 
   validation_status_.velocity_deviation = std::abs(
@@ -465,11 +466,11 @@ bool PlanningValidator::checkValidVelocityDeviation(const Trajectory & trajector
 bool PlanningValidator::checkValidDistanceDeviation(const Trajectory & trajectory)
 {
   // TODO(horibe): set appropriate thresholds for index search
-  const auto idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     trajectory.points, current_kinematics_->pose.pose);
 
-  validation_status_.distance_deviation =
-    tier4_autoware_utils::calcDistance2d(trajectory.points.at(idx), current_kinematics_->pose.pose);
+  validation_status_.distance_deviation = autoware::universe_utils::calcDistance2d(
+    trajectory.points.at(idx), current_kinematics_->pose.pose);
 
   if (validation_status_.distance_deviation > validation_params_.distance_deviation_threshold) {
     return false;
@@ -486,7 +487,7 @@ bool PlanningValidator::checkValidLongitudinalDistanceDeviation(const Trajectory
 
   const auto ego_pose = current_kinematics_->pose.pose;
   const size_t idx =
-    motion_utils::findFirstNearestIndexWithSoftConstraints(trajectory.points, ego_pose);
+    autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(trajectory.points, ego_pose);
 
   if (0 < idx && idx < trajectory.points.size() - 1) {
     return true;  // ego-nearest point exists between trajectory points.
@@ -494,13 +495,13 @@ bool PlanningValidator::checkValidLongitudinalDistanceDeviation(const Trajectory
 
   // Check if the valid longitudinal deviation for given segment index
   const auto HasValidLongitudinalDeviation = [&](const size_t seg_idx, const bool is_last) {
-    auto long_offset =
-      motion_utils::calcLongitudinalOffsetToSegment(trajectory.points, seg_idx, ego_pose.position);
+    auto long_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+      trajectory.points, seg_idx, ego_pose.position);
 
     // for last, need to remove distance for the last segment.
     if (is_last) {
       const auto size = trajectory.points.size();
-      long_offset -= tier4_autoware_utils::calcDistance2d(
+      long_offset -= autoware::universe_utils::calcDistance2d(
         trajectory.points.at(size - 1), trajectory.points.at(size - 2));
     }
 
@@ -531,7 +532,7 @@ bool PlanningValidator::checkValidForwardTrajectoryLength(const Trajectory & tra
     return true;  // Ego is almost stopped.
   }
 
-  const auto forward_length = motion_utils::calcSignedArcLength(
+  const auto forward_length = autoware::motion_utils::calcSignedArcLength(
     trajectory.points, current_kinematics_->pose.pose.position, trajectory.points.size() - 1);
 
   const auto acc = validation_params_.forward_trajectory_length_acceleration;
diff --git a/planning/autoware_planning_validator/src/utils.cpp b/planning/autoware_planning_validator/src/utils.cpp
index 4710d3ae84ea3..ae580a7a7c6f1 100644
--- a/planning/autoware_planning_validator/src/utils.cpp
+++ b/planning/autoware_planning_validator/src/utils.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/utils.hpp"
+#include "autoware/planning_validator/utils.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <memory>
 #include <string>
@@ -24,9 +24,9 @@
 
 namespace autoware::planning_validator
 {
-using tier4_autoware_utils::calcCurvature;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::getPoint;
+using autoware::universe_utils::calcCurvature;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::getPoint;
 
 namespace
 {
@@ -138,7 +138,7 @@ void calcCurvature(
     const auto p2 = getPoint(trajectory.points.at(i));
     const auto p3 = getPoint(trajectory.points.at(next_idx));
     try {
-      curvature_arr.at(i) = tier4_autoware_utils::calcCurvature(p1, p2, p3);
+      curvature_arr.at(i) = autoware::universe_utils::calcCurvature(p1, p2, p3);
     } catch (...) {
       curvature_arr.at(i) = 0.0;  // maybe distance is too close
     }
@@ -236,11 +236,12 @@ std::pair<double, size_t> calcMaxRelativeAngles(const Trajectory & trajectory)
     const auto & p2 = trajectory.points.at(i + 1).pose.position;
     const auto & p3 = trajectory.points.at(i + 2).pose.position;
 
-    const auto angle_a = tier4_autoware_utils::calcAzimuthAngle(p1, p2);
-    const auto angle_b = tier4_autoware_utils::calcAzimuthAngle(p2, p3);
+    const auto angle_a = autoware::universe_utils::calcAzimuthAngle(p1, p2);
+    const auto angle_b = autoware::universe_utils::calcAzimuthAngle(p2, p3);
 
     // convert relative angle to [-pi ~ pi]
-    const auto relative_angle = std::abs(tier4_autoware_utils::normalizeRadian(angle_b - angle_a));
+    const auto relative_angle =
+      std::abs(autoware::universe_utils::normalizeRadian(angle_b - angle_a));
 
     takeBigger(max_relative_angles, max_index, std::abs(relative_angle), i);
   }
diff --git a/planning/autoware_planning_validator/test/src/test_planning_validator_functions.cpp b/planning/autoware_planning_validator/test/src/test_planning_validator_functions.cpp
index 41ae41a80bdc5..9282392197665 100644
--- a/planning/autoware_planning_validator/test/src/test_planning_validator_functions.cpp
+++ b/planning/autoware_planning_validator/test/src/test_planning_validator_functions.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/debug_marker.hpp"
-#include "autoware_planning_validator/planning_validator.hpp"
+#include "autoware/planning_validator/debug_marker.hpp"
+#include "autoware/planning_validator/planning_validator.hpp"
 #include "test_parameter.hpp"
 #include "test_planning_validator_helper.hpp"
 
diff --git a/planning/autoware_planning_validator/test/src/test_planning_validator_helper.cpp b/planning/autoware_planning_validator/test/src/test_planning_validator_helper.cpp
index de7d8293286d7..bdf4ca96d9fdd 100644
--- a/planning/autoware_planning_validator/test/src/test_planning_validator_helper.cpp
+++ b/planning/autoware_planning_validator/test/src/test_planning_validator_helper.cpp
@@ -14,14 +14,14 @@
 
 #include "test_planning_validator_helper.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "test_parameter.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <math.h>
 
+using autoware::universe_utils::createQuaternionFromYaw;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::createQuaternionFromYaw;
 
 Trajectory generateTrajectoryWithConstantAcceleration(
   const double interval_distance, const double speed, const double yaw, const size_t size,
diff --git a/planning/autoware_planning_validator/test/src/test_planning_validator_node_interface.cpp b/planning/autoware_planning_validator/test/src/test_planning_validator_node_interface.cpp
index 33ef0a1817af8..6476086c67730 100644
--- a/planning/autoware_planning_validator/test/src/test_planning_validator_node_interface.cpp
+++ b/planning/autoware_planning_validator/test/src/test_planning_validator_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/planning_validator.hpp"
+#include "autoware/planning_validator/planning_validator.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_planning_validator/test/src/test_planning_validator_pubsub.cpp b/planning/autoware_planning_validator/test/src/test_planning_validator_pubsub.cpp
index 8cf56525edbc5..a83fa1fd965fe 100644
--- a/planning/autoware_planning_validator/test/src/test_planning_validator_pubsub.cpp
+++ b/planning/autoware_planning_validator/test/src/test_planning_validator_pubsub.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_planning_validator/planning_validator.hpp"
+#include "autoware/planning_validator/planning_validator.hpp"
 #include "test_parameter.hpp"
 #include "test_planning_validator_helper.hpp"
 
diff --git a/planning/autoware_remaining_distance_time_calculator/package.xml b/planning/autoware_remaining_distance_time_calculator/package.xml
index 0e5ae5aa63c3e..4e8fc23ffe391 100644
--- a/planning/autoware_remaining_distance_time_calculator/package.xml
+++ b/planning/autoware_remaining_distance_time_calculator/package.xml
@@ -12,17 +12,17 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_internal_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_test_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.cpp b/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.cpp
index 327bd0ff3b582..da1292fa862c6 100644
--- a/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.cpp
+++ b/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.cpp
@@ -14,12 +14,12 @@
 
 #include "remaining_distance_time_calculator_node.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <rclcpp/timer.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <tier4_planning_msgs/msg/velocity_limit.hpp>
 
@@ -143,8 +143,8 @@ void RemainingDistanceTimeCalculatorNode::calculate_remaining_distance()
 
   for (auto & llt : remaining_shortest_path) {
     if (remaining_shortest_path.size() == 1) {
-      remaining_distance_ +=
-        tier4_autoware_utils::calcDistance2d(current_vehicle_pose_.position, goal_pose_.position);
+      remaining_distance_ += autoware::universe_utils::calcDistance2d(
+        current_vehicle_pose_.position, goal_pose_.position);
       break;
     }
 
diff --git a/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.hpp b/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.hpp
index 19c5581d26b9d..d6c900af4dfed 100644
--- a/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.hpp
+++ b/planning/autoware_remaining_distance_time_calculator/src/remaining_distance_time_calculator_node.hpp
@@ -15,7 +15,7 @@
 #ifndef REMAINING_DISTANCE_TIME_CALCULATOR_NODE_HPP_
 #define REMAINING_DISTANCE_TIME_CALCULATOR_NODE_HPP_
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_internal_msgs/msg/mission_remaining_distance_time.hpp>
diff --git a/planning/autoware_route_handler/include/autoware_route_handler/route_handler.hpp b/planning/autoware_route_handler/include/autoware/route_handler/route_handler.hpp
similarity index 94%
rename from planning/autoware_route_handler/include/autoware_route_handler/route_handler.hpp
rename to planning/autoware_route_handler/include/autoware/route_handler/route_handler.hpp
index 5d7c78e0c1976..3b80314bae5a8 100644
--- a/planning/autoware_route_handler/include/autoware_route_handler/route_handler.hpp
+++ b/planning/autoware_route_handler/include/autoware/route_handler/route_handler.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_ROUTE_HANDLER__ROUTE_HANDLER_HPP_
-#define AUTOWARE_ROUTE_HANDLER__ROUTE_HANDLER_HPP_
+#ifndef AUTOWARE__ROUTE_HANDLER__ROUTE_HANDLER_HPP_
+#define AUTOWARE__ROUTE_HANDLER__ROUTE_HANDLER_HPP_
 
 #include <rclcpp/logger.hpp>
 
@@ -116,6 +116,8 @@ class RouteHandler
   // for lanelet
   bool getPreviousLaneletsWithinRoute(
     const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelets * prev_lanelets) const;
+  bool getNextLaneletsWithinRoute(
+    const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelets * next_lanelets) const;
   bool getNextLaneletWithinRoute(
     const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelet * next_lanelet) const;
   bool isDeadEndLanelet(const lanelet::ConstLanelet & lanelet) const;
@@ -260,6 +262,22 @@ class RouteHandler
   bool getClosestLaneletWithConstrainsWithinRoute(
     const Pose & search_pose, lanelet::ConstLanelet * closest_lanelet, const double dist_threshold,
     const double yaw_threshold) const;
+
+  /**
+   * Finds the closest route lanelet to the search pose satisfying the distance and yaw constraints
+   * with respect to a reference lanelet, the search set will include previous route lanelets,
+   * next route lanelets, and neighbors of reference lanelet. Returns false if failed to find
+   * lanelet.
+   * @param search_pose pose to find closest lanelet to
+   * @param reference_lanelet reference lanelet to decide the search set
+   * @param dist_threshold distance constraint closest lanelet must be within
+   * @param yaw_threshold yaw constraint closest lanelet direction must be within
+   */
+  bool getClosestRouteLaneletFromLanelet(
+    const Pose & search_pose, const lanelet::ConstLanelet & reference_lanelet,
+    lanelet::ConstLanelet * closest_lanelet, const double dist_threshold,
+    const double yaw_threshold) const;
+
   lanelet::ConstLanelet getLaneletsFromId(const lanelet::Id id) const;
   lanelet::ConstLanelets getLaneletsFromIds(const lanelet::Ids & ids) const;
   lanelet::ConstLanelets getLaneletSequence(
@@ -419,4 +437,4 @@ class RoutingCostDrivable : public lanelet::routing::RoutingCostDistance
   }
 };  // class RoutingCostDrivable
 }  // namespace autoware::route_handler
-#endif  // AUTOWARE_ROUTE_HANDLER__ROUTE_HANDLER_HPP_
+#endif  // AUTOWARE__ROUTE_HANDLER__ROUTE_HANDLER_HPP_
diff --git a/planning/autoware_route_handler/package.xml b/planning/autoware_route_handler/package.xml
index 61a8a43b31461..f7d10a519ed4e 100644
--- a/planning/autoware_route_handler/package.xml
+++ b/planning/autoware_route_handler/package.xml
@@ -10,6 +10,7 @@
   <maintainer email="takayuki.murooka@tier4.jp">Takayuki Murooka</maintainer>
   <maintainer email="mamoru.sobue@tier4.jp">Mamoru Sobue</maintainer>
   <maintainer email="go.sakayori@tier4.jp">Go Sakayori</maintainer>
+  <maintainer email="alqudah.mohammad@tier4.jp">Alqudah Mohammad</maintainer>
 
   <license>Apache License 2.0</license>
 
@@ -25,12 +26,12 @@
   <depend>autoware_map_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_test_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>yaml-cpp</depend>
 
   <export>
diff --git a/planning/autoware_route_handler/src/route_handler.cpp b/planning/autoware_route_handler/src/route_handler.cpp
index 213cca3bd5d80..d534ecc4c84a8 100644
--- a/planning/autoware_route_handler/src/route_handler.cpp
+++ b/planning/autoware_route_handler/src/route_handler.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_route_handler/route_handler.hpp"
+#include "autoware/route_handler/route_handler.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <autoware_utils/math/normalization.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/route_checker.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <autoware_planning_msgs/msg/lanelet_primitive.hpp>
 #include <autoware_planning_msgs/msg/path.hpp>
@@ -110,7 +110,7 @@ PathWithLaneId removeOverlappingPoints(const PathWithLaneId & input_path)
 
     constexpr double min_dist = 0.001;
     if (
-      tier4_autoware_utils::calcDistance3d(filtered_path.points.back().point, pt.point) <
+      autoware::universe_utils::calcDistance3d(filtered_path.points.back().point, pt.point) <
       min_dist) {
       filtered_path.points.back().lane_ids.push_back(pt.lane_ids.front());
       filtered_path.points.back().point.longitudinal_velocity_mps = std::min(
@@ -616,28 +616,41 @@ lanelet::ConstLanelets RouteHandler::getLaneletSequenceUpTo(
   lanelet::ConstLanelet current_lanelet = lanelet;
   double length = 0;
   lanelet::ConstLanelets previous_lanelets;
+
+  auto checkForLoop =
+    [&lanelet](const lanelet::ConstLanelets & lanelets_to_check, const bool is_route_lanelets) {
+      if (is_route_lanelets) {
+        return std::none_of(
+          lanelets_to_check.begin(), lanelets_to_check.end(),
+          [lanelet](auto & prev_llt) { return lanelet.id() != prev_llt.id(); });
+      }
+      return std::any_of(
+        lanelets_to_check.begin(), lanelets_to_check.end(),
+        [lanelet](auto & prev_llt) { return lanelet.id() == prev_llt.id(); });
+    };
+
+  auto isNewLanelet = [&lanelet,
+                       &lanelet_sequence_backward](const lanelet::ConstLanelet & lanelet_to_check) {
+    if (lanelet.id() == lanelet_to_check.id()) return false;
+    return std::none_of(
+      lanelet_sequence_backward.begin(), lanelet_sequence_backward.end(),
+      [&lanelet_to_check](auto & backward) { return (backward.id() == lanelet_to_check.id()); });
+  };
+
   while (rclcpp::ok() && length < min_length) {
     previous_lanelets.clear();
+    bool is_route_lanelets = true;
     if (!getPreviousLaneletsWithinRoute(current_lanelet, &previous_lanelets)) {
       if (only_route_lanes) break;
-      const auto previous_lanelets = getPreviousLanelets(current_lanelet);
+      previous_lanelets = getPreviousLanelets(current_lanelet);
       if (previous_lanelets.empty()) break;
+      is_route_lanelets = false;
     }
-    // loop check
-    if (std::any_of(previous_lanelets.begin(), previous_lanelets.end(), [lanelet](auto & prev_llt) {
-          return lanelet.id() == prev_llt.id();
-        })) {
-      break;
-    }
+
+    if (checkForLoop(previous_lanelets, is_route_lanelets)) break;
 
     for (const auto & prev_lanelet : previous_lanelets) {
-      if (std::any_of(
-            lanelet_sequence_backward.begin(), lanelet_sequence_backward.end(),
-            [prev_lanelet, lanelet](auto & backward) {
-              return (backward.id() == prev_lanelet.id());
-            })) {
-        continue;
-      }
+      if (!isNewLanelet(prev_lanelet) || exists(goal_lanelets_, prev_lanelet)) continue;
       lanelet_sequence_backward.push_back(prev_lanelet);
       length +=
         static_cast<double>(boost::geometry::length(prev_lanelet.centerline().basicLineString()));
@@ -922,8 +935,32 @@ bool RouteHandler::getClosestLaneletWithConstrainsWithinRoute(
     route_lanelets_, search_pose, closest_lanelet, dist_threshold, yaw_threshold);
 }
 
-bool RouteHandler::getNextLaneletWithinRoute(
-  const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelet * next_lanelet) const
+bool RouteHandler::getClosestRouteLaneletFromLanelet(
+  const Pose & search_pose, const lanelet::ConstLanelet & reference_lanelet,
+  lanelet::ConstLanelet * closest_lanelet, const double dist_threshold,
+  const double yaw_threshold) const
+{
+  lanelet::ConstLanelets previous_lanelets, next_lanelets, lanelet_sequence;
+  if (getPreviousLaneletsWithinRoute(reference_lanelet, &previous_lanelets)) {
+    lanelet_sequence = previous_lanelets;
+  }
+
+  lanelet_sequence.push_back(reference_lanelet);
+
+  if (getNextLaneletsWithinRoute(reference_lanelet, &next_lanelets)) {
+    lanelet_sequence.insert(lanelet_sequence.end(), next_lanelets.begin(), next_lanelets.end());
+  }
+
+  if (lanelet::utils::query::getClosestLaneletWithConstrains(
+        lanelet_sequence, search_pose, closest_lanelet, dist_threshold, yaw_threshold)) {
+    return true;
+  }
+
+  return false;
+}
+
+bool RouteHandler::getNextLaneletsWithinRoute(
+  const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelets * next_lanelets) const
 {
   if (exists(goal_lanelets_, lanelet)) {
     return false;
@@ -932,12 +969,23 @@ bool RouteHandler::getNextLaneletWithinRoute(
   const auto start_lane_id = route_ptr_->segments.front().preferred_primitive.id;
 
   const auto following_lanelets = routing_graph_ptr_->following(lanelet);
+  next_lanelets->clear();
   for (const auto & llt : following_lanelets) {
     if (start_lane_id != llt.id() && exists(route_lanelets_, llt)) {
-      *next_lanelet = llt;
-      return true;
+      next_lanelets->push_back(llt);
     }
   }
+  return !(next_lanelets->empty());
+}
+
+bool RouteHandler::getNextLaneletWithinRoute(
+  const lanelet::ConstLanelet & lanelet, lanelet::ConstLanelet * next_lanelet) const
+{
+  lanelet::ConstLanelets next_lanelets{};
+  if (getNextLaneletsWithinRoute(lanelet, &next_lanelets)) {
+    *next_lanelet = next_lanelets.front();
+    return true;
+  }
   return false;
 }
 
@@ -1677,14 +1725,14 @@ PathWithLaneId RouteHandler::getCenterLinePath(
     double angle{0.0};
     const auto & pts = reference_path.points;
     if (i + 1 < reference_path.points.size()) {
-      angle = tier4_autoware_utils::calcAzimuthAngle(
+      angle = autoware::universe_utils::calcAzimuthAngle(
         pts.at(i).point.pose.position, pts.at(i + 1).point.pose.position);
     } else if (i != 0) {
-      angle = tier4_autoware_utils::calcAzimuthAngle(
+      angle = autoware::universe_utils::calcAzimuthAngle(
         pts.at(i - 1).point.pose.position, pts.at(i).point.pose.position);
     }
     reference_path.points.at(i).point.pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(angle);
+      autoware::universe_utils::createQuaternionFromYaw(angle);
   }
 
   return reference_path;
@@ -2142,6 +2190,9 @@ lanelet::ConstLanelets RouteHandler::getMainLanelets(
   const lanelet::ConstLanelets & path_lanelets) const
 {
   auto lanelet_sequence = getLaneletSequence(path_lanelets.back());
+
+  RCLCPP_INFO_STREAM(logger_, "getMainLanelets: lanelet_sequence = " << lanelet_sequence);
+
   lanelet::ConstLanelets main_lanelets;
   while (!lanelet_sequence.empty()) {
     main_lanelets.insert(main_lanelets.begin(), lanelet_sequence.begin(), lanelet_sequence.end());
diff --git a/planning/autoware_route_handler/test/test_route_handler.cpp b/planning/autoware_route_handler/test/test_route_handler.cpp
index 5ee8aa8034abd..35a2fe3ef45da 100644
--- a/planning/autoware_route_handler/test/test_route_handler.cpp
+++ b/planning/autoware_route_handler/test/test_route_handler.cpp
@@ -14,6 +14,8 @@
 
 #include "test_route_handler.hpp"
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
+
 #include <rclcpp/rclcpp.hpp>
 
 #include <gtest/gtest.h>
@@ -45,62 +47,122 @@ TEST_F(TestRouteHandler, getGoalLaneId)
   ASSERT_EQ(goal_lane.id(), 5088);
 }
 
+TEST_F(TestRouteHandler, getLaneletSequenceWhenOverlappingRoute)
+{
+  set_route_handler("/test_map/overlap_map.osm");
+  ASSERT_FALSE(route_handler_->isHandlerReady());
+
+  geometry_msgs::msg::Pose start_pose, goal_pose;
+  start_pose.position = autoware::universe_utils::createPoint(3728.870361, 73739.281250, 0);
+  start_pose.orientation = autoware::universe_utils::createQuaternion(0, 0, -0.513117, 0.858319);
+  goal_pose.position = autoware::universe_utils::createPoint(3729.961182, 73727.328125, 0);
+  goal_pose.orientation = autoware::universe_utils::createQuaternion(0, 0, 0.234831, 0.972036);
+
+  lanelet::ConstLanelets path_lanelets;
+  ASSERT_TRUE(
+    route_handler_->planPathLaneletsBetweenCheckpoints(start_pose, goal_pose, &path_lanelets));
+  ASSERT_EQ(path_lanelets.size(), 12);
+  ASSERT_EQ(path_lanelets.front().id(), 168);
+  ASSERT_EQ(path_lanelets.back().id(), 345);
+
+  route_handler_->setRouteLanelets(path_lanelets);
+  ASSERT_TRUE(route_handler_->isHandlerReady());
+
+  rclcpp::init(0, nullptr);
+  ASSERT_TRUE(rclcpp::ok());
+
+  auto lanelet_sequence = route_handler_->getLaneletSequence(path_lanelets.back());
+  ASSERT_EQ(lanelet_sequence.size(), 12);
+  ASSERT_EQ(lanelet_sequence.front().id(), 168);
+  ASSERT_EQ(lanelet_sequence.back().id(), 345);
+}
+
+TEST_F(TestRouteHandler, getClosestRouteLaneletFromLaneletWhenOverlappingRoute)
+{
+  set_route_handler("/test_map/overlap_map.osm");
+  set_test_route("/test_route/overlap_test_route.yaml");
+  ASSERT_TRUE(route_handler_->isHandlerReady());
+
+  geometry_msgs::msg::Pose reference_pose, search_pose;
+
+  lanelet::ConstLanelet reference_lanelet;
+  reference_pose.position = autoware::universe_utils::createPoint(3730.88, 73735.3, 0);
+  reference_pose.orientation =
+    autoware::universe_utils::createQuaternion(0, 0, -0.504626, 0.863338);
+  const auto found_reference_lanelet =
+    route_handler_->getClosestLaneletWithinRoute(reference_pose, &reference_lanelet);
+  ASSERT_TRUE(found_reference_lanelet);
+  ASSERT_EQ(reference_lanelet.id(), 168);
+
+  lanelet::ConstLanelet closest_lanelet;
+  search_pose.position = autoware::universe_utils::createPoint(3736.89, 73730.8, 0);
+  search_pose.orientation = autoware::universe_utils::createQuaternion(0, 0, 0.223244, 0.974763);
+  bool found_lanelet = route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lanelet);
+  ASSERT_TRUE(found_lanelet);
+  ASSERT_EQ(closest_lanelet.id(), 345);
+
+  found_lanelet = route_handler_->getClosestRouteLaneletFromLanelet(
+    search_pose, reference_lanelet, &closest_lanelet, 3.0, 1.046);
+  ASSERT_TRUE(found_lanelet);
+  ASSERT_EQ(closest_lanelet.id(), 277);
+}
+
 // TEST_F(TestRouteHandler, getClosestLaneletWithinRouteWhenPointsInRoute)
 // {
 //   lanelet::ConstLanelet closest_lane;
 
 //   Pose search_pose;
 
-//   search_pose.position = tier4_autoware_utils::createPoint(-1.0, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(-1.0, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained7 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained7);
 //   ASSERT_EQ(closest_lane.id(), 4775);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(-0.5, 1.75, 0);
+//   search_pose.position = autoware::universe_utils::createPoint(-0.5, 1.75, 0);
 //   const auto closest_lane_obtained =
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained);
 //   ASSERT_EQ(closest_lane.id(), 4775);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(-.01, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(-.01, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained3 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained3);
 //   ASSERT_EQ(closest_lane.id(), 4775);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(0.0, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(0.0, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained1 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained1);
 //   ASSERT_EQ(closest_lane.id(), 4775);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(0.01, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(0.01, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained2 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained2);
 //   ASSERT_EQ(closest_lane.id(), 4424);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(0.5, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(0.5, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained4 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
 //   ASSERT_TRUE(closest_lane_obtained4);
 //   ASSERT_EQ(closest_lane.id(), 4424);
 
-//   search_pose.position = tier4_autoware_utils::createPoint(1.0, 1.75, 0);
-//   search_pose.orientation = tier4_autoware_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
+//   search_pose.position = autoware::universe_utils::createPoint(1.0, 1.75, 0);
+//   search_pose.orientation = autoware::universe_utils::createQuaternion(0.0, 0.0, 0.0, 1.0);
 //   const auto closest_lane_obtained5 =
 //     route_handler_->getClosestLaneletWithinRoute(search_pose, &closest_lane);
 
diff --git a/planning/autoware_route_handler/test/test_route_handler.hpp b/planning/autoware_route_handler/test/test_route_handler.hpp
index 292cbaa6ba7d9..86f7461fc7538 100644
--- a/planning/autoware_route_handler/test/test_route_handler.hpp
+++ b/planning/autoware_route_handler/test/test_route_handler.hpp
@@ -20,7 +20,7 @@
 #include "autoware_test_utils/mock_data_parser.hpp"
 #include "gtest/gtest.h"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <lanelet2_extension/io/autoware_osm_parser.hpp>
 #include <lanelet2_extension/projection/mgrs_projector.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
@@ -44,14 +44,9 @@ class TestRouteHandler : public ::testing::Test
 public:
   TestRouteHandler()
   {
-    const auto autoware_test_utils_dir =
-      ament_index_cpp::get_package_share_directory("autoware_test_utils");
-    const auto lanelet2_path = autoware_test_utils_dir + "/test_map/2km_test.osm";
-    constexpr double center_line_resolution = 5.0;
-    const auto map_bin_msg =
-      autoware::test_utils::make_map_bin_msg(lanelet2_path, center_line_resolution);
-    route_handler_ = std::make_shared<RouteHandler>(map_bin_msg);
-    set_lane_change_test_route();
+    autoware_test_utils_dir = ament_index_cpp::get_package_share_directory("autoware_test_utils");
+    set_route_handler("/test_map/2km_test.osm");
+    set_test_route("/test_route/lane_change_test_route.yaml");
   }
 
   TestRouteHandler(const TestRouteHandler &) = delete;
@@ -60,15 +55,26 @@ class TestRouteHandler : public ::testing::Test
   TestRouteHandler & operator=(TestRouteHandler &&) = delete;
   ~TestRouteHandler() override = default;
 
-  void set_lane_change_test_route()
+  void set_route_handler(const std::string & relative_path)
+  {
+    route_handler_.reset();
+    const auto lanelet2_path = autoware_test_utils_dir + relative_path;
+    const auto map_bin_msg =
+      autoware::test_utils::make_map_bin_msg(lanelet2_path, center_line_resolution);
+    route_handler_ = std::make_shared<RouteHandler>(map_bin_msg);
+  }
+
+  void set_test_route(const std::string & route_path)
   {
     const auto route_handler_dir =
       ament_index_cpp::get_package_share_directory("autoware_route_handler");
-    const auto rh_test_route = route_handler_dir + "/test_route/lane_change_test_route.yaml";
+    const auto rh_test_route = route_handler_dir + route_path;
     route_handler_->setRoute(autoware::test_utils::parse_lanelet_route_file(rh_test_route));
   }
 
   std::shared_ptr<RouteHandler> route_handler_;
+  std::string autoware_test_utils_dir;
+  static constexpr double center_line_resolution = 5.0;
 };
 }  // namespace autoware::route_handler::test
 
diff --git a/planning/autoware_route_handler/test_route/overlap_test_route.yaml b/planning/autoware_route_handler/test_route/overlap_test_route.yaml
new file mode 100644
index 0000000000000..595d22f4204eb
--- /dev/null
+++ b/planning/autoware_route_handler/test_route/overlap_test_route.yaml
@@ -0,0 +1,117 @@
+header:
+  stamp:
+    sec: 1715936953
+    nanosec: 67206425
+  frame_id: map
+start_pose:
+  position:
+    x: 3728.8
+    y: 73739.2
+    z: 0.0
+  orientation:
+    x: 0.0
+    y: 0.0
+    z: -0.513117
+    w: 0.858319
+goal_pose:
+  position:
+    x: 3729.961182
+    y: 73727.328125
+    z: 0.0
+  orientation:
+    x: 0.0
+    y: 0.0
+    z: 0.234831
+    w: 0.972036
+segments:
+  - preferred_primitive:
+      id: 168
+      primitive_type: ""
+    primitives:
+      - id: 168
+        primitive_type: lane
+  - preferred_primitive:
+      id: 277
+      primitive_type: ""
+    primitives:
+      - id: 277
+        primitive_type: lane
+  - preferred_primitive:
+      id: 282
+      primitive_type: ""
+    primitives:
+      - id: 282
+        primitive_type: lane
+  - preferred_primitive:
+      id: 287
+      primitive_type: ""
+    primitives:
+      - id: 287
+        primitive_type: lane
+  - preferred_primitive:
+      id: 292
+      primitive_type: ""
+    primitives:
+      - id: 292
+        primitive_type: lane
+  - preferred_primitive:
+      id: 297
+      primitive_type: ""
+    primitives:
+      - id: 297
+        primitive_type: lane
+  - preferred_primitive:
+      id: 302
+      primitive_type: ""
+    primitives:
+      - id: 302
+        primitive_type: lane
+  - preferred_primitive:
+      id: 307
+      primitive_type: ""
+    primitives:
+      - id: 307
+        primitive_type: lane
+  - preferred_primitive:
+      id: 312
+      primitive_type: ""
+    primitives:
+      - id: 312
+        primitive_type: lane
+  - preferred_primitive:
+      id: 317
+      primitive_type: ""
+    primitives:
+      - id: 317
+        primitive_type: lane
+  - preferred_primitive:
+      id: 322
+      primitive_type: ""
+    primitives:
+      - id: 322
+        primitive_type: lane
+  - preferred_primitive:
+      id: 345
+      primitive_type: ""
+    primitives:
+      - id: 345
+        primitive_type: lane
+uuid:
+  uuid:
+    - 231
+    - 254
+    - 143
+    - 227
+    - 194
+    - 8
+    - 220
+    - 88
+    - 30
+    - 194
+    - 172
+    - 147
+    - 127
+    - 143
+    - 176
+    - 133
+allow_modification: false
diff --git a/planning/autoware_rtc_interface/include/autoware_rtc_interface/rtc_interface.hpp b/planning/autoware_rtc_interface/include/autoware/rtc_interface/rtc_interface.hpp
similarity index 96%
rename from planning/autoware_rtc_interface/include/autoware_rtc_interface/rtc_interface.hpp
rename to planning/autoware_rtc_interface/include/autoware/rtc_interface/rtc_interface.hpp
index 8b435a6f8ed51..62f9a55c75455 100644
--- a/planning/autoware_rtc_interface/include/autoware_rtc_interface/rtc_interface.hpp
+++ b/planning/autoware_rtc_interface/include/autoware/rtc_interface/rtc_interface.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_RTC_INTERFACE__RTC_INTERFACE_HPP_
-#define AUTOWARE_RTC_INTERFACE__RTC_INTERFACE_HPP_
+#ifndef AUTOWARE__RTC_INTERFACE__RTC_INTERFACE_HPP_
+#define AUTOWARE__RTC_INTERFACE__RTC_INTERFACE_HPP_
 
 #include "rclcpp/rclcpp.hpp"
 
@@ -103,4 +103,4 @@ class RTCInterface
 
 }  // namespace autoware::rtc_interface
 
-#endif  // AUTOWARE_RTC_INTERFACE__RTC_INTERFACE_HPP_
+#endif  // AUTOWARE__RTC_INTERFACE__RTC_INTERFACE_HPP_
diff --git a/planning/autoware_rtc_interface/src/rtc_interface.cpp b/planning/autoware_rtc_interface/src/rtc_interface.cpp
index 3389d08b9015e..985e38b64f2bd 100644
--- a/planning/autoware_rtc_interface/src/rtc_interface.cpp
+++ b/planning/autoware_rtc_interface/src/rtc_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_rtc_interface/rtc_interface.hpp"
+#include "autoware/rtc_interface/rtc_interface.hpp"
 
 #include <chrono>
 
diff --git a/planning/autoware_scenario_selector/include/autoware_scenario_selector/node.hpp b/planning/autoware_scenario_selector/include/autoware/scenario_selector/node.hpp
similarity index 85%
rename from planning/autoware_scenario_selector/include/autoware_scenario_selector/node.hpp
rename to planning/autoware_scenario_selector/include/autoware/scenario_selector/node.hpp
index 88bbc57815d3d..557c0c871583d 100644
--- a/planning/autoware_scenario_selector/include/autoware_scenario_selector/node.hpp
+++ b/planning/autoware_scenario_selector/include/autoware/scenario_selector/node.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_SCENARIO_SELECTOR__NODE_HPP_
-#define AUTOWARE_SCENARIO_SELECTOR__NODE_HPP_
+#ifndef AUTOWARE__SCENARIO_SELECTOR__NODE_HPP_
+#define AUTOWARE__SCENARIO_SELECTOR__NODE_HPP_
 
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_planning_msgs/msg/lanelet_route.hpp>
@@ -34,8 +34,8 @@
 #else
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
-#include <autoware_route_handler/route_handler.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 
 #include <tf2_ros/buffer.h>
 #include <tf2_ros/transform_listener.h>
@@ -73,12 +73,12 @@ class ScenarioSelectorNode : public rclcpp::Node
 
   rclcpp::Subscription<autoware_map_msgs::msg::LaneletMapBin>::SharedPtr sub_lanelet_map_;
   rclcpp::Subscription<autoware_planning_msgs::msg::LaneletRoute>::SharedPtr sub_route_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry, 100>::SharedPtr
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry, 100>::SharedPtr
     sub_odom_;
   rclcpp::Subscription<autoware_planning_msgs::msg::Trajectory>::SharedPtr
     sub_lane_driving_trajectory_;
   rclcpp::Subscription<autoware_planning_msgs::msg::Trajectory>::SharedPtr sub_parking_trajectory_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<std_msgs::msg::Bool>::SharedPtr
+  autoware::universe_utils::InterProcessPollingSubscriber<std_msgs::msg::Bool>::SharedPtr
     sub_parking_state_;
   rclcpp::Publisher<autoware_planning_msgs::msg::Trajectory>::SharedPtr pub_trajectory_;
   rclcpp::Publisher<tier4_planning_msgs::msg::Scenario>::SharedPtr pub_scenario_;
@@ -93,7 +93,7 @@ class ScenarioSelectorNode : public rclcpp::Node
   std::deque<geometry_msgs::msg::TwistStamped::ConstSharedPtr> twist_buffer_;
 
   std::shared_ptr<autoware::route_handler::RouteHandler> route_handler_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   // Parameters
   double update_rate_;
@@ -104,4 +104,4 @@ class ScenarioSelectorNode : public rclcpp::Node
   bool is_parking_completed_;
 };
 }  // namespace autoware::scenario_selector
-#endif  // AUTOWARE_SCENARIO_SELECTOR__NODE_HPP_
+#endif  // AUTOWARE__SCENARIO_SELECTOR__NODE_HPP_
diff --git a/planning/autoware_scenario_selector/package.xml b/planning/autoware_scenario_selector/package.xml
index 03a0e92b5a33f..4a3c0c5c99eaf 100644
--- a/planning/autoware_scenario_selector/package.xml
+++ b/planning/autoware_scenario_selector/package.xml
@@ -20,6 +20,7 @@
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>lanelet2_extension</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
@@ -27,7 +28,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
 
   <exec_depend>ros2cli</exec_depend>
diff --git a/planning/autoware_scenario_selector/src/node.cpp b/planning/autoware_scenario_selector/src/node.cpp
index dc34cfb1b523a..4dcf1b6adb111 100644
--- a/planning/autoware_scenario_selector/src/node.cpp
+++ b/planning/autoware_scenario_selector/src/node.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_scenario_selector/node.hpp"
+#include "autoware/scenario_selector/node.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
@@ -381,7 +381,8 @@ ScenarioSelectorNode::ScenarioSelectorNode(const rclcpp::NodeOptions & node_opti
 
   timer_ = rclcpp::create_timer(
     this, get_clock(), period_ns, std::bind(&ScenarioSelectorNode::onTimer, this));
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 }  // namespace autoware::scenario_selector
 
diff --git a/planning/autoware_scenario_selector/test/test_autoware_scenario_selector_node_interface.cpp b/planning/autoware_scenario_selector/test/test_autoware_scenario_selector_node_interface.cpp
index 1b90992dae715..27ac4c564c5e7 100644
--- a/planning/autoware_scenario_selector/test/test_autoware_scenario_selector_node_interface.cpp
+++ b/planning/autoware_scenario_selector/test/test_autoware_scenario_selector_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_scenario_selector/node.hpp"
+#include "autoware/scenario_selector/node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_static_centerline_generator/package.xml b/planning/autoware_static_centerline_generator/package.xml
index e6b812ff9b388..1362f04e720e3 100644
--- a/planning/autoware_static_centerline_generator/package.xml
+++ b/planning/autoware_static_centerline_generator/package.xml
@@ -18,11 +18,13 @@
   <depend>autoware_behavior_path_planner_common</depend>
   <depend>autoware_map_msgs</depend>
   <depend>autoware_mission_planner</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_path_optimizer</depend>
   <depend>autoware_path_smoother</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geography_utils</depend>
   <depend>geometry_msgs</depend>
@@ -31,11 +33,9 @@
   <depend>lanelet2_extension</depend>
   <depend>map_loader</depend>
   <depend>map_projection_loader</depend>
-  <depend>motion_utils</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_map_msgs</depend>
 
   <exec_depend>python3-flask-cors</exec_depend>
diff --git a/planning/autoware_static_centerline_generator/src/centerline_source/bag_ego_trajectory_based_centerline.cpp b/planning/autoware_static_centerline_generator/src/centerline_source/bag_ego_trajectory_based_centerline.cpp
index 447773d7a6535..cbfcac5789812 100644
--- a/planning/autoware_static_centerline_generator/src/centerline_source/bag_ego_trajectory_based_centerline.cpp
+++ b/planning/autoware_static_centerline_generator/src/centerline_source/bag_ego_trajectory_based_centerline.cpp
@@ -73,10 +73,10 @@ std::vector<TrajectoryPoint> generate_centerline_with_bag(rclcpp::Node & node)
           centerline_traj_points.at(i - 1).pose.orientation;
       }
     } else {
-      const double yaw_angle = tier4_autoware_utils::calcAzimuthAngle(
+      const double yaw_angle = autoware::universe_utils::calcAzimuthAngle(
         centerline_traj_points.at(i).pose.position, centerline_traj_points.at(i + 1).pose.position);
       centerline_traj_points.at(i).pose.orientation =
-        tier4_autoware_utils::createQuaternionFromYaw(yaw_angle);
+        autoware::universe_utils::createQuaternionFromYaw(yaw_angle);
     }
   }
 
diff --git a/planning/autoware_static_centerline_generator/src/centerline_source/optimization_trajectory_based_centerline.cpp b/planning/autoware_static_centerline_generator/src/centerline_source/optimization_trajectory_based_centerline.cpp
index 7dd3a20848aca..1f72dea1cd35f 100644
--- a/planning/autoware_static_centerline_generator/src/centerline_source/optimization_trajectory_based_centerline.cpp
+++ b/planning/autoware_static_centerline_generator/src/centerline_source/optimization_trajectory_based_centerline.cpp
@@ -14,12 +14,12 @@
 
 #include "centerline_source/optimization_trajectory_based_centerline.hpp"
 
-#include "autoware_path_optimizer/node.hpp"
-#include "autoware_path_smoother/elastic_band_smoother.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/path_optimizer/node.hpp"
+#include "autoware/path_smoother/elastic_band_smoother.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
 #include "static_centerline_generator_node.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
 #include "utils.hpp"
 
 #include <algorithm>
@@ -82,20 +82,21 @@ OptimizationTrajectoryBasedCenterline::generate_centerline_with_optimization(
 
   // get ego nearest search parameters and resample interval in behavior_path_planner
   const double ego_nearest_dist_threshold =
-    tier4_autoware_utils::getOrDeclareParameter<double>(node, "ego_nearest_dist_threshold");
+    autoware::universe_utils::getOrDeclareParameter<double>(node, "ego_nearest_dist_threshold");
   const double ego_nearest_yaw_threshold =
-    tier4_autoware_utils::getOrDeclareParameter<double>(node, "ego_nearest_yaw_threshold");
+    autoware::universe_utils::getOrDeclareParameter<double>(node, "ego_nearest_yaw_threshold");
   const double behavior_path_interval =
-    tier4_autoware_utils::getOrDeclareParameter<double>(node, "output_path_interval");
+    autoware::universe_utils::getOrDeclareParameter<double>(node, "output_path_interval");
   const double behavior_vel_interval =
-    tier4_autoware_utils::getOrDeclareParameter<double>(node, "behavior_output_path_interval");
+    autoware::universe_utils::getOrDeclareParameter<double>(node, "behavior_output_path_interval");
 
   // extract path with lane id from lanelets
   const auto raw_path_with_lane_id = [&]() {
     const auto non_resampled_path_with_lane_id = utils::get_path_with_lane_id(
       route_handler, route_lanelets, start_center_pose, ego_nearest_dist_threshold,
       ego_nearest_yaw_threshold);
-    return motion_utils::resamplePath(non_resampled_path_with_lane_id, behavior_path_interval);
+    return autoware::motion_utils::resamplePath(
+      non_resampled_path_with_lane_id, behavior_path_interval);
   }();
   pub_raw_path_with_lane_id_->publish(raw_path_with_lane_id);
   RCLCPP_INFO(node.get_logger(), "Calculated raw path with lane id and published.");
@@ -103,7 +104,7 @@ OptimizationTrajectoryBasedCenterline::generate_centerline_with_optimization(
   // convert path with lane id to path
   const auto raw_path = [&]() {
     const auto non_resampled_path = convert_to_path(raw_path_with_lane_id);
-    return motion_utils::resamplePath(non_resampled_path, behavior_vel_interval);
+    return autoware::motion_utils::resamplePath(non_resampled_path, behavior_vel_interval);
   }();
   pub_raw_path_->publish(raw_path);
   RCLCPP_INFO(node.get_logger(), "Converted to path and published.");
@@ -123,7 +124,7 @@ std::vector<TrajectoryPoint> OptimizationTrajectoryBasedCenterline::optimize_tra
   // convert to trajectory points
   const auto raw_traj_points = [&]() {
     const auto raw_traj = convert_to_trajectory(raw_path);
-    return motion_utils::convertToTrajectoryPointArray(raw_traj);
+    return autoware::motion_utils::convertToTrajectoryPointArray(raw_traj);
   }();
 
   // create an instance of elastic band and model predictive trajectory.
@@ -165,7 +166,7 @@ std::vector<TrajectoryPoint> OptimizationTrajectoryBasedCenterline::optimize_tra
 
     // connect the previously and currently optimized trajectory points
     for (size_t j = 0; j < whole_optimized_traj_points.size(); ++j) {
-      const double dist = tier4_autoware_utils::calcDistance2d(
+      const double dist = autoware::universe_utils::calcDistance2d(
         whole_optimized_traj_points.at(j), optimized_traj_points.front());
       if (dist < 0.5) {
         const std::vector<TrajectoryPoint> extracted_whole_optimized_traj_points{
diff --git a/planning/autoware_static_centerline_generator/src/static_centerline_generator_node.cpp b/planning/autoware_static_centerline_generator/src/static_centerline_generator_node.cpp
index b907ec2529fcc..c5ecc48ee209d 100644
--- a/planning/autoware_static_centerline_generator/src/static_centerline_generator_node.cpp
+++ b/planning/autoware_static_centerline_generator/src/static_centerline_generator_node.cpp
@@ -14,6 +14,10 @@
 
 #include "static_centerline_generator_node.hpp"
 
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
 #include "autoware_static_centerline_generator/msg/points_with_lane_id.hpp"
 #include "centerline_source/bag_ego_trajectory_based_centerline.hpp"
 #include "lanelet2_extension/utility/message_conversion.hpp"
@@ -22,17 +26,13 @@
 #include "map_loader/lanelet2_map_loader_node.hpp"
 #include "map_projection_loader/load_info_from_lanelet2_map.hpp"
 #include "map_projection_loader/map_projection_loader.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
 #include "type_alias.hpp"
 #include "utils.hpp"
 
+#include <autoware/mission_planner/mission_planner_plugin.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <geography_utils/lanelet2_projector.hpp>
-#include <mission_planner/mission_planner_plugin.hpp>
 #include <pluginlib/class_loader.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include "std_msgs/msg/bool.hpp"
 #include "std_msgs/msg/float32.hpp"
@@ -88,10 +88,14 @@ LinearRing2d create_vehicle_footprint(
   const double y_right = -(i.wheel_tread_m / 2.0 + i.right_overhang_m + margin);
 
   std::vector<geometry_msgs::msg::Point> geom_points;
-  geom_points.push_back(tier4_autoware_utils::calcOffsetPose(pose, x_front, y_left, 0.0).position);
-  geom_points.push_back(tier4_autoware_utils::calcOffsetPose(pose, x_front, y_right, 0.0).position);
-  geom_points.push_back(tier4_autoware_utils::calcOffsetPose(pose, x_rear, y_right, 0.0).position);
-  geom_points.push_back(tier4_autoware_utils::calcOffsetPose(pose, x_rear, y_left, 0.0).position);
+  geom_points.push_back(
+    autoware::universe_utils::calcOffsetPose(pose, x_front, y_left, 0.0).position);
+  geom_points.push_back(
+    autoware::universe_utils::calcOffsetPose(pose, x_front, y_right, 0.0).position);
+  geom_points.push_back(
+    autoware::universe_utils::calcOffsetPose(pose, x_rear, y_right, 0.0).position);
+  geom_points.push_back(
+    autoware::universe_utils::calcOffsetPose(pose, x_rear, y_left, 0.0).position);
 
   LinearRing2d footprint;
   for (const auto & geom_point : geom_points) {
@@ -113,7 +117,7 @@ geometry_msgs::msg::Pose get_text_pose(
   const double x_front = i.front_overhang_m + i.wheel_base_m;
   const double y_left = i.wheel_tread_m / 2.0 + i.left_overhang_m + 1.0;
 
-  return tier4_autoware_utils::calcOffsetPose(pose, x_front, y_left, 0.0);
+  return autoware::universe_utils::calcOffsetPose(pose, x_front, y_left, 0.0);
 }
 
 std::array<double, 3> convert_hex_string_to_decimal(const std::string & hex_str_color)
@@ -162,9 +166,10 @@ std::vector<TrajectoryPoint> resample_trajectory_points(
   const std::vector<TrajectoryPoint> & input_traj_points, const double resample_interval)
 {
   // resample and calculate trajectory points' orientation
-  const auto input_traj = motion_utils::convertToTrajectory(input_traj_points);
-  auto resampled_input_traj = motion_utils::resampleTrajectory(input_traj, resample_interval);
-  return motion_utils::convertToTrajectoryPointArray(resampled_input_traj);
+  const auto input_traj = autoware::motion_utils::convertToTrajectory(input_traj_points);
+  auto resampled_input_traj =
+    autoware::motion_utils::resampleTrajectory(input_traj, resample_interval);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_input_traj);
 }
 }  // namespace
 
@@ -198,7 +203,7 @@ StaticCenterlineGeneratorNode::StaticCenterlineGeneratorNode(
   sub_save_map_ = create_subscription<std_msgs::msg::Bool>(
     "/centerline_updater_helper/save_map", rclcpp::QoS{1}, [this](const std_msgs::msg::Bool & msg) {
       const auto lanelet2_output_file_path =
-        tier4_autoware_utils::getOrDeclareParameter<std::string>(
+        autoware::universe_utils::getOrDeclareParameter<std::string>(
           *this, "lanelet2_output_file_path");
       if (!centerline_with_route_ || msg.data) {
         const auto & c = *centerline_with_route_;
@@ -269,7 +274,7 @@ void StaticCenterlineGeneratorNode::update_centerline_range(
     centerline.begin() + traj_range_indices_.second + 1);
 
   pub_centerline_->publish(
-    motion_utils::convertToTrajectory(selected_centerline, create_header(this->now())));
+    autoware::motion_utils::convertToTrajectory(selected_centerline, create_header(this->now())));
 }
 
 void StaticCenterlineGeneratorNode::run()
@@ -321,10 +326,10 @@ CenterlineWithRoute StaticCenterlineGeneratorNode::generate_centerline_with_rout
   centerline_with_route.centerline =
     resample_trajectory_points(centerline_with_route.centerline, output_trajectory_interval);
 
-  pub_whole_centerline_->publish(motion_utils::convertToTrajectory(
+  pub_whole_centerline_->publish(autoware::motion_utils::convertToTrajectory(
     centerline_with_route.centerline, create_header(this->now())));
 
-  pub_centerline_->publish(motion_utils::convertToTrajectory(
+  pub_centerline_->publish(autoware::motion_utils::convertToTrajectory(
     centerline_with_route.centerline, create_header(this->now())));
 
   return centerline_with_route;
@@ -374,6 +379,7 @@ void StaticCenterlineGeneratorNode::load_map(const std::string & lanelet2_input_
       Lanelet2MapLoaderNode::load_map(lanelet2_input_file_path, *map_projector_info_);
 
     // overwrite more dense centerline
+    // NOTE: overwriteLaneletsCenterlineWithWaypoints is used only in real time calculation.
     lanelet::utils::overwriteLaneletsCenterline(map_ptr, 5.0, false);
 
     // create map bin msg
@@ -571,10 +577,11 @@ void StaticCenterlineGeneratorNode::evaluate(
   const std::vector<TrajectoryPoint> & optimized_traj_points)
 {
   const auto route_lanelets = utils::get_lanelets_from_ids(*route_handler_ptr_, route_lane_ids);
-  const auto dist_thresh_vec = tier4_autoware_utils::getOrDeclareParameter<std::vector<double>>(
+  const auto dist_thresh_vec = autoware::universe_utils::getOrDeclareParameter<std::vector<double>>(
     *this, "marker_color_dist_thresh");
   const auto marker_color_vec =
-    tier4_autoware_utils::getOrDeclareParameter<std::vector<std::string>>(*this, "marker_color");
+    autoware::universe_utils::getOrDeclareParameter<std::vector<std::string>>(
+      *this, "marker_color");
   const auto get_marker_color = [&](const double dist) -> boost::optional<std::array<double, 3>> {
     for (size_t i = 0; i < dist_thresh_vec.size(); ++i) {
       const double dist_thresh = dist_thresh_vec.at(i);
@@ -621,13 +628,13 @@ void StaticCenterlineGeneratorNode::evaluate(
       // add footprint marker
       const auto footprint_marker =
         utils::create_footprint_marker(footprint_poly, marker_color, now(), i);
-      tier4_autoware_utils::appendMarkerArray(footprint_marker, &marker_array);
+      autoware::universe_utils::appendMarkerArray(footprint_marker, &marker_array);
 
       // add text of distance to bounds marker
       const auto text_pose = get_text_pose(traj_point.pose, vehicle_info_);
       const auto text_marker =
         utils::create_distance_text_marker(text_pose, min_dist_to_bound, marker_color, now(), i);
-      tier4_autoware_utils::appendMarkerArray(text_marker, &marker_array);
+      autoware::universe_utils::appendMarkerArray(text_marker, &marker_array);
     }
   }
 
diff --git a/planning/autoware_static_centerline_generator/src/type_alias.hpp b/planning/autoware_static_centerline_generator/src/type_alias.hpp
index 1eb5aa516f3b9..c5157acc2b525 100644
--- a/planning/autoware_static_centerline_generator/src/type_alias.hpp
+++ b/planning/autoware_static_centerline_generator/src/type_alias.hpp
@@ -14,8 +14,8 @@
 #ifndef TYPE_ALIAS_HPP_
 #define TYPE_ALIAS_HPP_
 
-#include "autoware_route_handler/route_handler.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/route_handler/route_handler.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include "autoware_map_msgs/msg/lanelet_map_bin.hpp"
 #include "autoware_perception_msgs/msg/predicted_objects.hpp"
@@ -29,6 +29,9 @@
 namespace autoware::static_centerline_generator
 {
 using autoware::route_handler::RouteHandler;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
 using autoware_map_msgs::msg::LaneletMapBin;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_planning_msgs::msg::LaneletRoute;
@@ -36,9 +39,6 @@ using autoware_planning_msgs::msg::Path;
 using autoware_planning_msgs::msg::PathPoint;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using visualization_msgs::msg::MarkerArray;
 }  // namespace autoware::static_centerline_generator
diff --git a/planning/autoware_static_centerline_generator/src/utils.cpp b/planning/autoware_static_centerline_generator/src/utils.cpp
index 46044a83f3764..de362e3af5d7f 100644
--- a/planning/autoware_static_centerline_generator/src/utils.cpp
+++ b/planning/autoware_static_centerline_generator/src/utils.cpp
@@ -14,10 +14,10 @@
 
 #include "utils.hpp"
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 
 #include <lanelet2_core/LaneletMap.h>
 #include <lanelet2_core/geometry/Lanelet.h>
@@ -94,8 +94,8 @@ geometry_msgs::msg::Pose get_center_pose(
   // calculate middle pose
   geometry_msgs::msg::Pose middle_pose;
   middle_pose.position = middle_pos;
-  const double yaw = tier4_autoware_utils::calcAzimuthAngle(middle_pos, next_middle_pos);
-  middle_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  const double yaw = autoware::universe_utils::calcAzimuthAngle(middle_pos, next_middle_pos);
+  middle_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
 
   return middle_pose;
 }
@@ -189,11 +189,11 @@ MarkerArray create_footprint_marker(
   const double g = marker_color.at(1);
   const double b = marker_color.at(2);
 
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", rclcpp::Clock().now(), "unsafe_footprints", idx,
     visualization_msgs::msg::Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(0.1, 0.0, 0.0),
-    tier4_autoware_utils::createMarkerColor(r, g, b, 0.999));
+    autoware::universe_utils::createMarkerScale(0.1, 0.0, 0.0),
+    autoware::universe_utils::createMarkerColor(r, g, b, 0.999));
   marker.header.stamp = now;
   marker.lifetime = rclcpp::Duration(0, 0);
 
@@ -221,11 +221,11 @@ MarkerArray create_distance_text_marker(
   const double g = marker_color.at(1);
   const double b = marker_color.at(2);
 
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", rclcpp::Clock().now(), "unsafe_footprints_distance", idx,
     visualization_msgs::msg::Marker::TEXT_VIEW_FACING,
-    tier4_autoware_utils::createMarkerScale(0.5, 0.5, 0.5),
-    tier4_autoware_utils::createMarkerColor(r, g, b, 0.999));
+    autoware::universe_utils::createMarkerScale(0.5, 0.5, 0.5),
+    autoware::universe_utils::createMarkerColor(r, g, b, 0.999));
   marker.pose = pose;
   marker.header.stamp = now;
   marker.lifetime = rclcpp::Duration(0, 0);
diff --git a/planning/autoware_static_centerline_generator/src/utils.hpp b/planning/autoware_static_centerline_generator/src/utils.hpp
index 8b7347f84701a..70a7e61e19b18 100644
--- a/planning/autoware_static_centerline_generator/src/utils.hpp
+++ b/planning/autoware_static_centerline_generator/src/utils.hpp
@@ -15,7 +15,7 @@
 #ifndef UTILS_HPP_
 #define UTILS_HPP_
 
-#include "autoware_route_handler/route_handler.hpp"
+#include "autoware/route_handler/route_handler.hpp"
 #include "type_alias.hpp"
 
 #include <rclcpp/time.hpp>
diff --git a/planning/autoware_surround_obstacle_checker/package.xml b/planning/autoware_surround_obstacle_checker/package.xml
index 530f850a3c34a..fb5ea169b9c88 100644
--- a/planning/autoware_surround_obstacle_checker/package.xml
+++ b/planning/autoware_surround_obstacle_checker/package.xml
@@ -15,13 +15,14 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_adapi_v1_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>libpcl-all-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pcl_conversions</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -31,7 +32,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_surround_obstacle_checker/src/debug_marker.cpp b/planning/autoware_surround_obstacle_checker/src/debug_marker.cpp
index b676673128269..7897a868ee172 100644
--- a/planning/autoware_surround_obstacle_checker/src/debug_marker.cpp
+++ b/planning/autoware_surround_obstacle_checker/src/debug_marker.cpp
@@ -12,17 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_surround_obstacle_checker/debug_marker.hpp"
+#include "debug_marker.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
 #else
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
+#include <limits>
 #include <memory>
 
 namespace autoware::surround_obstacle_checker
@@ -51,12 +52,12 @@ Polygon2d createSelfPolygon(
 }
 }  // namespace
 
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 
 SurroundObstacleCheckerDebugNode::SurroundObstacleCheckerDebugNode(
   const autoware::vehicle_info_utils::VehicleInfo & vehicle_info, const double base_link2front,
diff --git a/planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/debug_marker.hpp b/planning/autoware_surround_obstacle_checker/src/debug_marker.hpp
similarity index 95%
rename from planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/debug_marker.hpp
rename to planning/autoware_surround_obstacle_checker/src/debug_marker.hpp
index c7ec2e5b564e6..058bf964e7dc4 100644
--- a/planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/debug_marker.hpp
+++ b/planning/autoware_surround_obstacle_checker/src/debug_marker.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_SURROUND_OBSTACLE_CHECKER__DEBUG_MARKER_HPP_
-#define AUTOWARE_SURROUND_OBSTACLE_CHECKER__DEBUG_MARKER_HPP_
+#ifndef DEBUG_MARKER_HPP_
+#define DEBUG_MARKER_HPP_
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -99,4 +99,4 @@ class SurroundObstacleCheckerDebugNode
   rclcpp::Clock::SharedPtr clock_;
 };
 }  // namespace autoware::surround_obstacle_checker
-#endif  // AUTOWARE_SURROUND_OBSTACLE_CHECKER__DEBUG_MARKER_HPP_
+#endif  // DEBUG_MARKER_HPP_
diff --git a/planning/autoware_surround_obstacle_checker/src/node.cpp b/planning/autoware_surround_obstacle_checker/src/node.cpp
index 8d6279eeefb22..9c899c2226497 100644
--- a/planning/autoware_surround_obstacle_checker/src/node.cpp
+++ b/planning/autoware_surround_obstacle_checker/src/node.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_surround_obstacle_checker/node.hpp"
+#include "node.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
 
 #include <boost/assert.hpp>
 #include <boost/assign/list_of.hpp>
@@ -51,9 +51,9 @@ namespace autoware::surround_obstacle_checker
 namespace bg = boost::geometry;
 using Point2d = bg::model::d2::point_xy<double>;
 using Polygon2d = bg::model::polygon<Point2d>;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::pose2transform;
 using autoware_perception_msgs::msg::ObjectClassification;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::pose2transform;
 
 namespace
 {
@@ -193,7 +193,7 @@ SurroundObstacleCheckerNode::SurroundObstacleCheckerNode(const rclcpp::NodeOptio
     p.publish_debug_footprints = this->declare_parameter<bool>("publish_debug_footprints");
     p.debug_footprint_label = this->declare_parameter<std::string>("debug_footprint_label");
 
-    logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+    logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
   }
 
   vehicle_info_ = autoware::vehicle_info_utils::VehicleInfoUtils(*this).getVehicleInfo();
@@ -251,12 +251,12 @@ rcl_interfaces::msg::SetParametersResult SurroundObstacleCheckerNode::onParam(
   use_dynamic_object_ = false;
   for (const auto & label_pair : label_map_) {
     bool & check_current_label = node_param_.enable_check_map.at(label_pair.second);
-    tier4_autoware_utils::updateParam<bool>(
+    autoware::universe_utils::updateParam<bool>(
       parameters, label_pair.first + ".enable_check", check_current_label);
     use_dynamic_object_ = use_dynamic_object_ || check_current_label;
   }
 
-  tier4_autoware_utils::updateParam<std::string>(
+  autoware::universe_utils::updateParam<std::string>(
     parameters, "debug_footprint_label", node_param_.debug_footprint_label);
   const auto check_distances = getCheckDistances(node_param_.debug_footprint_label);
   debug_ptr_->updateFootprintMargin(
@@ -411,7 +411,7 @@ std::optional<Obstacle> SurroundObstacleCheckerNode::getNearestObstacleByPointCl
     tf2::transformToEigen(transform_stamped.value().transform).cast<float>();
   pcl::PointCloud<pcl::PointXYZ> transformed_pointcloud;
   pcl::fromROSMsg(*pointcloud_ptr_, transformed_pointcloud);
-  tier4_autoware_utils::transformPointCloud(
+  autoware::universe_utils::transformPointCloud(
     transformed_pointcloud, transformed_pointcloud, isometry);
 
   const double front_margin = node_param_.pointcloud_surround_check_front_distance;
diff --git a/planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/node.hpp b/planning/autoware_surround_obstacle_checker/src/node.hpp
similarity index 84%
rename from planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/node.hpp
rename to planning/autoware_surround_obstacle_checker/src/node.hpp
index 4eb094e6617a4..e0bcf771948ca 100644
--- a/planning/autoware_surround_obstacle_checker/include/autoware_surround_obstacle_checker/node.hpp
+++ b/planning/autoware_surround_obstacle_checker/src/node.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_SURROUND_OBSTACLE_CHECKER__NODE_HPP_
-#define AUTOWARE_SURROUND_OBSTACLE_CHECKER__NODE_HPP_
+#ifndef NODE_HPP_
+#define NODE_HPP_
 
-#include "autoware_surround_obstacle_checker/debug_marker.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "debug_marker.hpp"
 
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -46,10 +46,10 @@
 namespace autoware::surround_obstacle_checker
 {
 
+using autoware::motion_utils::VehicleStopChecker;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::Shape;
-using motion_utils::VehicleStopChecker;
 using tier4_planning_msgs::msg::VelocityLimit;
 using tier4_planning_msgs::msg::VelocityLimitClearCommand;
 
@@ -111,11 +111,11 @@ class SurroundObstacleCheckerNode : public rclcpp::Node
   rclcpp::TimerBase::SharedPtr timer_;
 
   // publisher and subscriber
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odometry_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odometry_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
-    sub_pointcloud_{this, "~/input/pointcloud"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<PredictedObjects> sub_dynamic_objects_{
+  autoware::universe_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
+    sub_pointcloud_{this, "~/input/pointcloud", autoware::universe_utils::SingleDepthSensorQoS()};
+  autoware::universe_utils::InterProcessPollingSubscriber<PredictedObjects> sub_dynamic_objects_{
     this, "~/input/objects"};
   rclcpp::Publisher<diagnostic_msgs::msg::DiagnosticStatus>::SharedPtr pub_stop_reason_;
   rclcpp::Publisher<VelocityLimitClearCommand>::SharedPtr pub_clear_velocity_limit_;
@@ -143,7 +143,7 @@ class SurroundObstacleCheckerNode : public rclcpp::Node
   State state_ = State::PASS;
   std::shared_ptr<const rclcpp::Time> last_obstacle_found_time_;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
   bool use_dynamic_object_;
 
@@ -151,4 +151,4 @@ class SurroundObstacleCheckerNode : public rclcpp::Node
 };
 }  // namespace autoware::surround_obstacle_checker
 
-#endif  // AUTOWARE_SURROUND_OBSTACLE_CHECKER__NODE_HPP_
+#endif  // NODE_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/node.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/node.hpp
similarity index 84%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/node.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/node.hpp
index 160ee183d8a0a..0dd18615be5ef 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/node.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/node.hpp
@@ -12,30 +12,30 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__NODE_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__NODE_HPP_
-
-#include "autoware_velocity_smoother/resample.hpp"
-#include "autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__NODE_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__NODE_HPP_
+
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/self_pose_listener.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
+#include "autoware/velocity_smoother/resample.hpp"
+#include "autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 #include "osqp_interface/osqp_interface.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
 #include "tf2_ros/transform_listener.h"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
-#include "tier4_autoware_utils/ros/self_pose_listener.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 
 #include "autoware_adapi_v1_msgs/msg/operation_mode_state.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -88,13 +88,13 @@ class VelocitySmootherNode : public rclcpp::Node
   rclcpp::Publisher<MarkerArray>::SharedPtr pub_virtual_wall_;
   rclcpp::Publisher<StopSpeedExceeded>::SharedPtr pub_over_stop_velocity_;
   rclcpp::Subscription<Trajectory>::SharedPtr sub_current_trajectory_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> sub_current_odometry_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> sub_current_odometry_{
     this, "/localization/kinematic_state"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped>
+  autoware::universe_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped>
     sub_current_acceleration_{this, "~/input/acceleration"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<VelocityLimit> sub_external_velocity_limit_{
-    this, "~/input/external_velocity_limit_mps"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<OperationModeState> sub_operation_mode_{
+  autoware::universe_utils::InterProcessPollingSubscriber<VelocityLimit>
+    sub_external_velocity_limit_{this, "~/input/external_velocity_limit_mps"};
+  autoware::universe_utils::InterProcessPollingSubscriber<OperationModeState> sub_operation_mode_{
     this, "~/input/operation_mode_state"};
 
   Odometry::ConstSharedPtr current_odometry_ptr_;  // current odometry
@@ -245,7 +245,7 @@ class VelocitySmootherNode : public rclcpp::Node
   void initCommonParam();
 
   // debug
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
   std::shared_ptr<rclcpp::Time> prev_time_;
   double prev_acc_;
   rclcpp::Publisher<Float32Stamped>::SharedPtr pub_dist_to_stopline_;
@@ -273,9 +273,9 @@ class VelocitySmootherNode : public rclcpp::Node
   void flipVelocity(TrajectoryPoints & points) const;
   void publishStopWatchTime();
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__NODE_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__NODE_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/resample.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/resample.hpp
similarity index 93%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/resample.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/resample.hpp
index 24a20ca8a588f..40081e1c7974f 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/resample.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/resample.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__RESAMPLE_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__RESAMPLE_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__RESAMPLE_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__RESAMPLE_HPP_
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
 #include <geometry_msgs/msg/pose.hpp>
@@ -50,4 +50,4 @@ TrajectoryPoints resampleTrajectory(
 }  // namespace resampling
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__RESAMPLE_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__RESAMPLE_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp
similarity index 87%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp
index a5baa59f5d034..42d5a520c9e44 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
 
-#include "autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp"
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
 
@@ -116,5 +116,5 @@ class AnalyticalJerkConstrainedSmoother : public SmootherBase
 }  // namespace autoware::velocity_smoother
 
 // clang-format off
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp
similarity index 83%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp
index 0c18e102f6f66..541ba62e95d74 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -54,5 +54,5 @@ double integ_a(double a0, double j0, double t);
 }  // namespace autoware::velocity_smoother
 
 // clang-format off
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__ANALYTICAL_JERK_CONSTRAINED_SMOOTHER__VELOCITY_PLANNING_UTILS_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp
similarity index 85%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp
index 4e93fcd339140..14d0d8ab7ff84 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
 
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
 #include "osqp_interface/osqp_interface.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
 
@@ -71,4 +71,4 @@ class JerkFilteredSmoother : public SmootherBase
 };
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__JERK_FILTERED_SMOOTHER_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp
similarity index 80%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp
index 44fa263e71fb9..1e2918d8e313b 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
 
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
 #include "osqp_interface/osqp_interface.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
 
@@ -58,4 +58,4 @@ class L2PseudoJerkSmoother : public SmootherBase
 };
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__L2_PSEUDO_JERK_SMOOTHER_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp
similarity index 80%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp
index f638e03658e05..b88cd26eb4467 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
 
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
 #include "osqp_interface/osqp_interface.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
 
@@ -58,4 +58,4 @@ class LinfPseudoJerkSmoother : public SmootherBase
 };
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__LINF_PSEUDO_JERK_SMOOTHER_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/smoother_base.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/smoother_base.hpp
similarity index 93%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/smoother_base.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/smoother_base.hpp
index 0c17ef5bdbb9d..be7baf694d361 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/smoother/smoother_base.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/smoother/smoother_base.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
 
-#include "autoware_velocity_smoother/resample.hpp"
+#include "autoware/velocity_smoother/resample.hpp"
 #include "rclcpp/rclcpp.hpp"
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
@@ -88,4 +88,4 @@ class SmootherBase
 };
 }  // namespace autoware::velocity_smoother
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__SMOOTHER__SMOOTHER_BASE_HPP_
diff --git a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/trajectory_utils.hpp b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/trajectory_utils.hpp
similarity index 94%
rename from planning/autoware_velocity_smoother/include/autoware_velocity_smoother/trajectory_utils.hpp
rename to planning/autoware_velocity_smoother/include/autoware/velocity_smoother/trajectory_utils.hpp
index f7999d1c8b04c..29033b69d7a66 100644
--- a/planning/autoware_velocity_smoother/include/autoware_velocity_smoother/trajectory_utils.hpp
+++ b/planning/autoware_velocity_smoother/include/autoware/velocity_smoother/trajectory_utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
-#define AUTOWARE_VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
+#ifndef AUTOWARE__VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
+#define AUTOWARE__VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
 
 #include "autoware_planning_msgs/msg/trajectory_point.hpp"
 #include "geometry_msgs/msg/pose.hpp"
@@ -79,4 +79,4 @@ double calcStopDistance(const TrajectoryPoints & trajectory, const size_t closes
 
 }  // namespace autoware::velocity_smoother::trajectory_utils
 
-#endif  // AUTOWARE_VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
+#endif  // AUTOWARE__VELOCITY_SMOOTHER__TRAJECTORY_UTILS_HPP_
diff --git a/planning/autoware_velocity_smoother/package.xml b/planning/autoware_velocity_smoother/package.xml
index 2bfc32ec90a5f..997f7b16e5652 100644
--- a/planning/autoware_velocity_smoother/package.xml
+++ b/planning/autoware_velocity_smoother/package.xml
@@ -20,18 +20,18 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>osqp_interface</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_planning_msgs</depend>
 
diff --git a/planning/autoware_velocity_smoother/src/node.cpp b/planning/autoware_velocity_smoother/src/node.cpp
index be1f77fc951b1..aefbd9ef20f84 100644
--- a/planning/autoware_velocity_smoother/src/node.cpp
+++ b/planning/autoware_velocity_smoother/src/node.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/node.hpp"
+#include "autoware/velocity_smoother/node.hpp"
 
-#include "autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
-#include "autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
@@ -90,8 +90,9 @@ VelocitySmootherNode::VelocitySmootherNode(const rclcpp::NodeOptions & node_opti
 
   clock_ = get_clock();
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void VelocitySmootherNode::setupSmoother(const double wheelbase)
@@ -299,7 +300,7 @@ void VelocitySmootherNode::initCommonParam()
 
 void VelocitySmootherNode::publishTrajectory(const TrajectoryPoints & trajectory) const
 {
-  Trajectory publishing_trajectory = motion_utils::convertToTrajectory(trajectory);
+  Trajectory publishing_trajectory = autoware::motion_utils::convertToTrajectory(trajectory);
   publishing_trajectory.header = base_traj_raw_ptr_->header;
   pub_trajectory_->publish(publishing_trajectory);
   published_time_publisher_->publish_if_subscribed(
@@ -433,10 +434,10 @@ void VelocitySmootherNode::onCurrentTrajectory(const Trajectory::ConstSharedPtr
   }
 
   // calculate trajectory velocity
-  auto input_points = motion_utils::convertToTrajectoryPointArray(*base_traj_raw_ptr_);
+  auto input_points = autoware::motion_utils::convertToTrajectoryPointArray(*base_traj_raw_ptr_);
 
   // guard for invalid trajectory
-  input_points = motion_utils::removeOverlapPoints(input_points);
+  input_points = autoware::motion_utils::removeOverlapPoints(input_points);
   if (input_points.size() < 2) {
     RCLCPP_ERROR(get_logger(), "No enough points in trajectory after overlap points removal");
     return;
@@ -686,7 +687,7 @@ void VelocitySmootherNode::insertBehindVelocity(
       // TODO(planning/control team) deal with overlapped lanes with the same direction
       const size_t seg_idx = [&]() {
         // with distance and yaw thresholds
-        const auto opt_nearest_seg_idx = motion_utils::findNearestSegmentIndex(
+        const auto opt_nearest_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
           prev_output_, output.at(i).pose, node_param_.ego_nearest_dist_threshold,
           node_param_.ego_nearest_yaw_threshold);
         if (opt_nearest_seg_idx) {
@@ -694,13 +695,14 @@ void VelocitySmootherNode::insertBehindVelocity(
         }
 
         // with distance threshold
-        const auto opt_second_nearest_seg_idx = motion_utils::findNearestSegmentIndex(
+        const auto opt_second_nearest_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
           prev_output_, output.at(i).pose, node_param_.ego_nearest_dist_threshold);
         if (opt_second_nearest_seg_idx) {
           return opt_second_nearest_seg_idx.value();
         }
 
-        return motion_utils::findNearestSegmentIndex(prev_output_, output.at(i).pose.position);
+        return autoware::motion_utils::findNearestSegmentIndex(
+          prev_output_, output.at(i).pose.position);
       }();
       const auto prev_output_point =
         trajectory_utils::calcInterpolatedTrajectoryPoint(prev_output_, output.at(i).pose, seg_idx);
@@ -720,9 +722,9 @@ void VelocitySmootherNode::publishStopDistance(const TrajectoryPoints & trajecto
   // stop distance calculation
   const double stop_dist_lim{50.0};
   double stop_dist{stop_dist_lim};
-  const auto stop_idx{motion_utils::searchZeroVelocityIndex(trajectory)};
+  const auto stop_idx{autoware::motion_utils::searchZeroVelocityIndex(trajectory)};
   if (stop_idx) {
-    stop_dist = motion_utils::calcSignedArcLength(trajectory, closest, *stop_idx);
+    stop_dist = autoware::motion_utils::calcSignedArcLength(trajectory, closest, *stop_idx);
   } else {
     stop_dist = closest > 0 ? stop_dist : -stop_dist;
   }
@@ -818,14 +820,14 @@ std::pair<Motion, VelocitySmootherNode::InitializeType> VelocitySmootherNode::ca
 void VelocitySmootherNode::overwriteStopPoint(
   const TrajectoryPoints & input, TrajectoryPoints & output) const
 {
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(input);
+  const auto stop_idx = autoware::motion_utils::searchZeroVelocityIndex(input);
   if (!stop_idx) {
     return;
   }
 
   // Get Closest Point from Output
   // TODO(planning/control team) deal with overlapped lanes with the same directions
-  const auto nearest_output_point_idx = motion_utils::findNearestIndex(
+  const auto nearest_output_point_idx = autoware::motion_utils::findNearestIndex(
     output, input.at(*stop_idx).pose, node_param_.ego_nearest_dist_threshold,
     node_param_.ego_nearest_yaw_threshold);
 
@@ -873,11 +875,12 @@ void VelocitySmootherNode::applyExternalVelocityLimit(TrajectoryPoints & traj) c
 
   // insert the point at the distance of external velocity limit
   const auto & current_pose = current_odometry_ptr_->pose.pose;
-  const size_t closest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    traj, current_pose, node_param_.ego_nearest_dist_threshold,
-    node_param_.ego_nearest_yaw_threshold);
+  const size_t closest_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      traj, current_pose, node_param_.ego_nearest_dist_threshold,
+      node_param_.ego_nearest_yaw_threshold);
   const auto inserted_index =
-    motion_utils::insertTargetPoint(closest_seg_idx, external_velocity_limit_.dist, traj);
+    autoware::motion_utils::insertTargetPoint(closest_seg_idx, external_velocity_limit_.dist, traj);
   if (!inserted_index) {
     traj.back().longitudinal_velocity_mps = std::min(
       traj.back().longitudinal_velocity_mps, static_cast<float>(external_velocity_limit_.velocity));
@@ -890,7 +893,7 @@ void VelocitySmootherNode::applyExternalVelocityLimit(TrajectoryPoints & traj) c
 
   // create virtual wall
   if (std::abs(external_velocity_limit_.velocity) < 1e-3) {
-    const auto virtual_wall_marker = motion_utils::createStopVirtualWallMarker(
+    const auto virtual_wall_marker = autoware::motion_utils::createStopVirtualWallMarker(
       traj.at(*inserted_index).pose, external_velocity_limit_.sender, this->now(), 0,
       base_link2front_);
     pub_virtual_wall_->publish(virtual_wall_marker);
@@ -902,13 +905,13 @@ void VelocitySmootherNode::applyExternalVelocityLimit(TrajectoryPoints & traj) c
 
 void VelocitySmootherNode::applyStopApproachingVelocity(TrajectoryPoints & traj) const
 {
-  const auto stop_idx = motion_utils::searchZeroVelocityIndex(traj);
+  const auto stop_idx = autoware::motion_utils::searchZeroVelocityIndex(traj);
   if (!stop_idx) {
     return;  // no stop point.
   }
   double distance_sum = 0.0;
   for (size_t i = *stop_idx - 1; i < traj.size(); --i) {  // search backward
-    distance_sum += tier4_autoware_utils::calcDistance2d(traj.at(i), traj.at(i + 1));
+    distance_sum += autoware::universe_utils::calcDistance2d(traj.at(i), traj.at(i + 1));
     if (distance_sum > node_param_.stopping_distance) {
       break;
     }
@@ -1019,7 +1022,7 @@ double VelocitySmootherNode::calcTravelDistance() const
 
   if (prev_closest_point_) {
     const double travel_dist =
-      tier4_autoware_utils::calcDistance2d(*prev_closest_point_, closest_point);
+      autoware::universe_utils::calcDistance2d(*prev_closest_point_, closest_point);
     return travel_dist;
   }
 
@@ -1036,14 +1039,14 @@ bool VelocitySmootherNode::isEngageStatus(const double target_vel) const
 Trajectory VelocitySmootherNode::toTrajectoryMsg(
   const TrajectoryPoints & points, const std_msgs::msg::Header * header) const
 {
-  auto trajectory = motion_utils::convertToTrajectory(points);
+  auto trajectory = autoware::motion_utils::convertToTrajectory(points);
   trajectory.header = header ? *header : base_traj_raw_ptr_->header;
   return trajectory;
 }
 
 size_t VelocitySmootherNode::findNearestIndexFromEgo(const TrajectoryPoints & points) const
 {
-  return motion_utils::findFirstNearestIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     points, current_odometry_ptr_->pose.pose, node_param_.ego_nearest_dist_threshold,
     node_param_.ego_nearest_yaw_threshold);
 }
@@ -1073,9 +1076,10 @@ void VelocitySmootherNode::publishStopWatchTime()
 TrajectoryPoint VelocitySmootherNode::calcProjectedTrajectoryPoint(
   const TrajectoryPoints & trajectory, const Pose & pose) const
 {
-  const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    trajectory, pose, node_param_.ego_nearest_dist_threshold,
-    node_param_.ego_nearest_yaw_threshold);
+  const size_t current_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      trajectory, pose, node_param_.ego_nearest_dist_threshold,
+      node_param_.ego_nearest_yaw_threshold);
   return trajectory_utils::calcInterpolatedTrajectoryPoint(trajectory, pose, current_seg_idx);
 }
 
diff --git a/planning/autoware_velocity_smoother/src/resample.cpp b/planning/autoware_velocity_smoother/src/resample.cpp
index af3b222a71ef9..f69ad5a592272 100644
--- a/planning/autoware_velocity_smoother/src/resample.cpp
+++ b/planning/autoware_velocity_smoother/src/resample.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/resample.hpp"
+#include "autoware/velocity_smoother/resample.hpp"
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <algorithm>
 #include <vector>
@@ -32,17 +32,18 @@ TrajectoryPoints resampleTrajectory(
   const double nearest_yaw_threshold, const ResampleParam & param, const bool use_zoh_for_v)
 {
   // Arc length from the initial point to the closest point
-  const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    input, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
-  const double negative_front_arclength_value = motion_utils::calcSignedArcLength(
+  const size_t current_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      input, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
+  const double negative_front_arclength_value = autoware::motion_utils::calcSignedArcLength(
     input, current_pose.position, current_seg_idx, input.at(0).pose.position, 0);
   const auto front_arclength_value = std::fabs(negative_front_arclength_value);
 
   const auto dist_to_closest_stop_point =
-    motion_utils::calcDistanceToForwardStopPoint(input, current_pose);
+    autoware::motion_utils::calcDistanceToForwardStopPoint(input, current_pose);
 
   // Get the resample size from the closest point
-  const double trajectory_length = motion_utils::calcArcLength(input);
+  const double trajectory_length = autoware::motion_utils::calcArcLength(input);
   const double Nt = param.resample_time / std::max(param.dense_resample_dt, 0.001);
   const double ds_nominal =
     std::max(v_current * param.dense_resample_dt, param.dense_min_interval_distance);
@@ -127,14 +128,14 @@ TrajectoryPoints resampleTrajectory(
     return input;
   }
 
-  const auto output_traj = motion_utils::resampleTrajectory(
-    motion_utils::convertToTrajectory(input), out_arclength, false, true, use_zoh_for_v);
-  auto output = motion_utils::convertToTrajectoryPointArray(output_traj);
+  const auto output_traj = autoware::motion_utils::resampleTrajectory(
+    autoware::motion_utils::convertToTrajectory(input), out_arclength, false, true, use_zoh_for_v);
+  auto output = autoware::motion_utils::convertToTrajectoryPointArray(output_traj);
 
   // add end point directly to consider the endpoint velocity.
   if (is_endpoint_included) {
     constexpr double ep_dist = 1.0E-3;
-    if (tier4_autoware_utils::calcDistance2d(output.back(), input.back()) < ep_dist) {
+    if (autoware::universe_utils::calcDistance2d(output.back(), input.back()) < ep_dist) {
       output.back() = input.back();
     } else {
       output.push_back(input.back());
@@ -150,9 +151,9 @@ TrajectoryPoints resampleTrajectory(
   const ResampleParam & param, const double nominal_ds, const bool use_zoh_for_v)
 {
   // input arclength
-  const double trajectory_length = motion_utils::calcArcLength(input);
+  const double trajectory_length = autoware::motion_utils::calcArcLength(input);
   const auto dist_to_closest_stop_point =
-    motion_utils::calcDistanceToForwardStopPoint(input, current_pose);
+    autoware::motion_utils::calcDistanceToForwardStopPoint(input, current_pose);
 
   // distance to stop point
   double stop_arclength_value = param.max_trajectory_length;
@@ -170,9 +171,10 @@ TrajectoryPoints resampleTrajectory(
 
   // Step1. Resample front trajectory
   // Arc length from the initial point to the closest point
-  const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    input, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
-  const double negative_front_arclength_value = motion_utils::calcSignedArcLength(
+  const size_t current_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      input, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
+  const double negative_front_arclength_value = autoware::motion_utils::calcSignedArcLength(
     input, current_pose.position, current_seg_idx, input.at(0).pose.position,
     static_cast<size_t>(0));
   const auto front_arclength_value = std::fabs(negative_front_arclength_value);
@@ -246,14 +248,14 @@ TrajectoryPoints resampleTrajectory(
     return input;
   }
 
-  const auto output_traj = motion_utils::resampleTrajectory(
-    motion_utils::convertToTrajectory(input), out_arclength, false, true, use_zoh_for_v);
-  auto output = motion_utils::convertToTrajectoryPointArray(output_traj);
+  const auto output_traj = autoware::motion_utils::resampleTrajectory(
+    autoware::motion_utils::convertToTrajectory(input), out_arclength, false, true, use_zoh_for_v);
+  auto output = autoware::motion_utils::convertToTrajectoryPointArray(output_traj);
 
   // add end point directly to consider the endpoint velocity.
   if (is_endpoint_included) {
     constexpr double ep_dist = 1.0E-3;
-    if (tier4_autoware_utils::calcDistance2d(output.back(), input.back()) < ep_dist) {
+    if (autoware::universe_utils::calcDistance2d(output.back(), input.back()) < ep_dist) {
       output.back() = input.back();
     } else {
       output.push_back(input.back());
diff --git a/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.cpp b/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.cpp
index dc5f4f19ce771..7f263fdea5e36 100644
--- a/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp"
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <algorithm>
 #include <string>
@@ -252,7 +252,7 @@ TrajectoryPoints AnalyticalJerkConstrainedSmoother::resampleTrajectory(
     const auto tp1 = input.at(i + 1);
 
     const double dist_thr = 0.001;  // 1mm
-    const double dist_tp0_tp1 = tier4_autoware_utils::calcDistance2d(tp0, tp1);
+    const double dist_tp0_tp1 = autoware::universe_utils::calcDistance2d(tp0, tp1);
     if (std::fabs(dist_tp0_tp1) < dist_thr) {
       output.push_back(input.at(i));
       continue;
@@ -298,9 +298,9 @@ TrajectoryPoints AnalyticalJerkConstrainedSmoother::applyLateralAccelerationFilt
     for (double s = 0; s < in_arclength.back(); s += points_interval) {
       out_arclength.push_back(s);
     }
-    const auto output_traj =
-      motion_utils::resampleTrajectory(motion_utils::convertToTrajectory(input), out_arclength);
-    output = motion_utils::convertToTrajectoryPointArray(output_traj);
+    const auto output_traj = autoware::motion_utils::resampleTrajectory(
+      autoware::motion_utils::convertToTrajectory(input), out_arclength);
+    output = autoware::motion_utils::convertToTrajectoryPointArray(output_traj);
     output.back() = input.back();  // keep the final speed.
   } else {
     output = input;
@@ -355,7 +355,7 @@ TrajectoryPoints AnalyticalJerkConstrainedSmoother::applyLateralAccelerationFilt
     }
 
     if (
-      tier4_autoware_utils::calcDistance2d(output.at(end_index), output.at(index)) <
+      autoware::universe_utils::calcDistance2d(output.at(end_index), output.at(index)) <
       dist_threshold) {
       end_index = index;
       min_latacc_velocity = std::min(
@@ -441,7 +441,7 @@ bool AnalyticalJerkConstrainedSmoother::applyForwardJerkFilter(
   for (size_t i = start_index + 1; i < base_trajectory.size(); ++i) {
     const double prev_vel = output_trajectory.at(i - 1).longitudinal_velocity_mps;
     const double ds =
-      tier4_autoware_utils::calcDistance2d(base_trajectory.at(i - 1), base_trajectory.at(i));
+      autoware::universe_utils::calcDistance2d(base_trajectory.at(i - 1), base_trajectory.at(i));
     const double dt = ds / std::max(prev_vel, 1.0);
 
     const double prev_acc = output_trajectory.at(i - 1).acceleration_mps2;
@@ -487,8 +487,8 @@ bool AnalyticalJerkConstrainedSmoother::applyBackwardDecelFilter(
       }
     }
     for (size_t i = decel_target_index; i > start_index; --i) {
-      dist +=
-        tier4_autoware_utils::calcDistance2d(output_trajectory.at(i - 1), output_trajectory.at(i));
+      dist += autoware::universe_utils::calcDistance2d(
+        output_trajectory.at(i - 1), output_trajectory.at(i));
       dist_to_target.at(i - 1) = dist;
     }
 
diff --git a/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.cpp b/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.cpp
index e3edcfbbec681..739ba6e7cef38 100644
--- a/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp"
+#include "autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/velocity_planning_utils.hpp"
 
 #include "interpolation/linear_interpolation.hpp"
 
@@ -225,8 +225,8 @@ bool calcStopVelocityWithConstantJerkAccLimit(
   std::vector<double> distances;
   distances.push_back(distance);
   for (size_t i = start_index; i < output_trajectory.size() - 1; ++i) {
-    distance +=
-      tier4_autoware_utils::calcDistance2d(output_trajectory.at(i), output_trajectory.at(i + 1));
+    distance += autoware::universe_utils::calcDistance2d(
+      output_trajectory.at(i), output_trajectory.at(i + 1));
     if (distance > xs.back()) {
       break;
     }
diff --git a/planning/autoware_velocity_smoother/src/smoother/jerk_filtered_smoother.cpp b/planning/autoware_velocity_smoother/src/smoother/jerk_filtered_smoother.cpp
index d759930eb4320..cab8e49a3b45d 100644
--- a/planning/autoware_velocity_smoother/src/smoother/jerk_filtered_smoother.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/jerk_filtered_smoother.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/jerk_filtered_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/jerk_filtered_smoother.hpp"
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <Eigen/Core>
 
@@ -131,7 +131,7 @@ bool JerkFilteredSmoother::apply(
 
   // to avoid getting 0 as a stop point, search zero velocity index from 1.
   // the size of the resampled trajectory must not be less than 2.
-  const auto zero_vel_id = motion_utils::searchZeroVelocityIndex(
+  const auto zero_vel_id = autoware::motion_utils::searchZeroVelocityIndex(
     opt_resampled_trajectory, 1, opt_resampled_trajectory.size());
 
   if (!zero_vel_id) {
@@ -385,7 +385,7 @@ TrajectoryPoints JerkFilteredSmoother::forwardJerkFilter(
   output.front().longitudinal_velocity_mps = current_vel;
   output.front().acceleration_mps2 = current_acc;
   for (size_t i = 1; i < input.size(); ++i) {
-    const double ds = tier4_autoware_utils::calcDistance2d(input.at(i), input.at(i - 1));
+    const double ds = autoware::universe_utils::calcDistance2d(input.at(i), input.at(i - 1));
     const double max_dt = std::pow(6.0 * ds / j_max, 1.0 / 3.0);  // assuming v0 = a0 = 0.
     const double dt = std::min(ds / std::max(current_vel, 1.0e-6), max_dt);
 
@@ -439,8 +439,8 @@ TrajectoryPoints JerkFilteredSmoother::mergeFilteredTrajectory(
       merged.at(i).longitudinal_velocity_mps = current_vel;
       merged.at(i).acceleration_mps2 = current_acc;
 
-      const double ds =
-        tier4_autoware_utils::calcDistance2d(forward_filtered.at(i + 1), forward_filtered.at(i));
+      const double ds = autoware::universe_utils::calcDistance2d(
+        forward_filtered.at(i + 1), forward_filtered.at(i));
       const double max_dt =
         std::pow(6.0 * ds / std::fabs(j_min), 1.0 / 3.0);  // assuming v0 = a0 = 0.
       const double dt = std::min(ds / std::max(current_vel, 1.0e-6), max_dt);
diff --git a/planning/autoware_velocity_smoother/src/smoother/l2_pseudo_jerk_smoother.cpp b/planning/autoware_velocity_smoother/src/smoother/l2_pseudo_jerk_smoother.cpp
index fff1166567aee..b489c994b0495 100644
--- a/planning/autoware_velocity_smoother/src/smoother/l2_pseudo_jerk_smoother.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/l2_pseudo_jerk_smoother.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/l2_pseudo_jerk_smoother.hpp"
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <Eigen/Core>
 
diff --git a/planning/autoware_velocity_smoother/src/smoother/linf_pseudo_jerk_smoother.cpp b/planning/autoware_velocity_smoother/src/smoother/linf_pseudo_jerk_smoother.cpp
index b00936f3092ad..cb8451dba8302 100644
--- a/planning/autoware_velocity_smoother/src/smoother/linf_pseudo_jerk_smoother.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/linf_pseudo_jerk_smoother.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
+#include "autoware/velocity_smoother/smoother/linf_pseudo_jerk_smoother.hpp"
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <Eigen/Core>
 
diff --git a/planning/autoware_velocity_smoother/src/smoother/smoother_base.cpp b/planning/autoware_velocity_smoother/src/smoother/smoother_base.cpp
index e1d72889203cc..700cf45b7eb9d 100644
--- a/planning/autoware_velocity_smoother/src/smoother/smoother_base.cpp
+++ b/planning/autoware_velocity_smoother/src/smoother/smoother_base.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/smoother/smoother_base.hpp"
+#include "autoware/velocity_smoother/smoother/smoother_base.hpp"
 
-#include "autoware_velocity_smoother/resample.hpp"
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
+#include "autoware/velocity_smoother/resample.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <algorithm>
 #include <cmath>
@@ -34,10 +34,10 @@ namespace
 TrajectoryPoints applyPreProcess(
   const TrajectoryPoints & input, const double interval, const bool use_resampling)
 {
-  using motion_utils::calcArcLength;
-  using motion_utils::convertToTrajectory;
-  using motion_utils::convertToTrajectoryPointArray;
-  using motion_utils::resampleTrajectory;
+  using autoware::motion_utils::calcArcLength;
+  using autoware::motion_utils::convertToTrajectory;
+  using autoware::motion_utils::convertToTrajectoryPointArray;
+  using autoware::motion_utils::resampleTrajectory;
 
   if (!use_resampling) {
     return input;
@@ -141,13 +141,13 @@ TrajectoryPoints SmootherBase::applyLateralAccelerationFilter(
   // since the resampling takes a long time, omit the resampling when it is not requested
   if (use_resampling) {
     std::vector<double> out_arclength;
-    const auto traj_length = motion_utils::calcArcLength(input);
+    const auto traj_length = autoware::motion_utils::calcArcLength(input);
     for (double s = 0; s < traj_length; s += points_interval) {
       out_arclength.push_back(s);
     }
-    const auto output_traj =
-      motion_utils::resampleTrajectory(motion_utils::convertToTrajectory(input), out_arclength);
-    output = motion_utils::convertToTrajectoryPointArray(output_traj);
+    const auto output_traj = autoware::motion_utils::resampleTrajectory(
+      autoware::motion_utils::convertToTrajectory(input), out_arclength);
+    output = autoware::motion_utils::convertToTrajectoryPointArray(output_traj);
     output.back() = input.back();  // keep the final speed.
   } else {
     output = input;
@@ -249,14 +249,15 @@ TrajectoryPoints SmootherBase::applySteeringRateLimit(
     }
 
     const auto steer_rate = steer_rate_arr.at(i);
-    if (steer_rate < tier4_autoware_utils::deg2rad(base_param_.max_steering_angle_rate)) {
+    if (steer_rate < autoware::universe_utils::deg2rad(base_param_.max_steering_angle_rate)) {
       continue;
     }
 
     const auto mean_vel =
       (output.at(i).longitudinal_velocity_mps + output.at(i + 1).longitudinal_velocity_mps) / 2.0;
     const auto target_mean_vel =
-      mean_vel * (tier4_autoware_utils::deg2rad(base_param_.max_steering_angle_rate) / steer_rate);
+      mean_vel *
+      (autoware::universe_utils::deg2rad(base_param_.max_steering_angle_rate) / steer_rate);
 
     for (size_t k = 0; k < 2; k++) {
       auto & velocity = output.at(i + k).longitudinal_velocity_mps;
diff --git a/planning/autoware_velocity_smoother/src/trajectory_utils.cpp b/planning/autoware_velocity_smoother/src/trajectory_utils.cpp
index 6ebf246748666..ea0453370e03a 100644
--- a/planning/autoware_velocity_smoother/src/trajectory_utils.cpp
+++ b/planning/autoware_velocity_smoother/src/trajectory_utils.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "interpolation/linear_interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -34,7 +34,7 @@ inline void convertEulerAngleToMonotonic(std::vector<double> & a)
 {
   for (unsigned int i = 1; i < a.size(); ++i) {
     const double da = a[i] - a[i - 1];
-    a[i] = a[i - 1] + tier4_autoware_utils::normalizeRadian(da);
+    a[i] = a[i - 1] + autoware::universe_utils::normalizeRadian(da);
   }
 }
 
@@ -87,7 +87,7 @@ TrajectoryPoint calcInterpolatedTrajectoryPoint(
   {
     const auto & seg_pt = trajectory.at(seg_idx);
     const auto & next_pt = trajectory.at(seg_idx + 1);
-    traj_p.pose = tier4_autoware_utils::calcInterpolatedPose(seg_pt.pose, next_pt.pose, prop);
+    traj_p.pose = autoware::universe_utils::calcInterpolatedPose(seg_pt.pose, next_pt.pose, prop);
     traj_p.longitudinal_velocity_mps = interpolation::lerp(
       seg_pt.longitudinal_velocity_mps, next_pt.longitudinal_velocity_mps, prop);
     traj_p.acceleration_mps2 =
@@ -110,7 +110,7 @@ TrajectoryPoints extractPathAroundIndex(
   {
     double dist_sum = 0.0;
     for (size_t i = index; i < trajectory.size() - 1; ++i) {
-      dist_sum += tier4_autoware_utils::calcDistance2d(trajectory.at(i), trajectory.at(i + 1));
+      dist_sum += autoware::universe_utils::calcDistance2d(trajectory.at(i), trajectory.at(i + 1));
       if (dist_sum > ahead_length) {
         ahead_index = i + 1;
         break;
@@ -123,7 +123,7 @@ TrajectoryPoints extractPathAroundIndex(
   {
     double dist_sum{0.0};
     for (size_t i = index; i != 0; --i) {
-      dist_sum += tier4_autoware_utils::calcDistance2d(trajectory.at(i), trajectory[i - 1]);
+      dist_sum += autoware::universe_utils::calcDistance2d(trajectory.at(i), trajectory[i - 1]);
       if (dist_sum > behind_length) {
         behind_index = i - 1;
         break;
@@ -152,7 +152,7 @@ std::vector<double> calcArclengthArray(const TrajectoryPoints & trajectory)
   for (unsigned int i = 1; i < trajectory.size(); ++i) {
     const TrajectoryPoint tp = trajectory.at(i);
     const TrajectoryPoint tp_prev = trajectory.at(i - 1);
-    dist += tier4_autoware_utils::calcDistance2d(tp.pose, tp_prev.pose);
+    dist += autoware::universe_utils::calcDistance2d(tp.pose, tp_prev.pose);
     arclength.at(i) = dist;
   }
   return arclength;
@@ -164,7 +164,7 @@ std::vector<double> calcTrajectoryIntervalDistance(const TrajectoryPoints & traj
   for (unsigned int i = 1; i < trajectory.size(); ++i) {
     const TrajectoryPoint tp = trajectory.at(i);
     const TrajectoryPoint tp_prev = trajectory.at(i - 1);
-    const double dist = tier4_autoware_utils::calcDistance2d(tp.pose, tp_prev.pose);
+    const double dist = autoware::universe_utils::calcDistance2d(tp.pose, tp_prev.pose);
     intervals.push_back(dist);
   }
   return intervals;
@@ -173,8 +173,8 @@ std::vector<double> calcTrajectoryIntervalDistance(const TrajectoryPoints & traj
 std::vector<double> calcTrajectoryCurvatureFrom3Points(
   const TrajectoryPoints & trajectory, size_t idx_dist)
 {
-  using tier4_autoware_utils::calcCurvature;
-  using tier4_autoware_utils::getPoint;
+  using autoware::universe_utils::calcCurvature;
+  using autoware::universe_utils::getPoint;
 
   if (trajectory.size() < 3) {
     const std::vector<double> k_arr(trajectory.size(), 0.0);
@@ -300,7 +300,6 @@ bool calcStopDistWithJerkConstraints(
   }
 
   double x, v, a, j;
-  std::tuple<double, double, double, double> state;
 
   switch (type) {
     case AccelerationType::TRAPEZOID: {
@@ -596,7 +595,7 @@ std::vector<double> calcVelocityProfileWithConstantJerkAndAccelerationLimit(
 
 double calcStopDistance(const TrajectoryPoints & trajectory, const size_t closest)
 {
-  const auto idx = motion_utils::searchZeroVelocityIndex(trajectory);
+  const auto idx = autoware::motion_utils::searchZeroVelocityIndex(trajectory);
 
   if (!idx) {
     return std::numeric_limits<double>::max();  // stop point is located far away
@@ -604,7 +603,7 @@ double calcStopDistance(const TrajectoryPoints & trajectory, const size_t closes
 
   // TODO(Horibe): use arc length distance
   const double stop_dist =
-    tier4_autoware_utils::calcDistance2d(trajectory.at(*idx), trajectory.at(closest));
+    autoware::universe_utils::calcDistance2d(trajectory.at(*idx), trajectory.at(closest));
 
   return stop_dist;
 }
diff --git a/planning/autoware_velocity_smoother/test/test_smoother_functions.cpp b/planning/autoware_velocity_smoother/test/test_smoother_functions.cpp
index f1b7dbb197ea2..5daf332fb0cf0 100644
--- a/planning/autoware_velocity_smoother/test/test_smoother_functions.cpp
+++ b/planning/autoware_velocity_smoother/test/test_smoother_functions.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/trajectory_utils.hpp"
+#include "autoware/velocity_smoother/trajectory_utils.hpp"
 
 #include <gtest/gtest.h>
 
diff --git a/planning/autoware_velocity_smoother/test/test_velocity_smoother_node_interface.cpp b/planning/autoware_velocity_smoother/test/test_velocity_smoother_node_interface.cpp
index d4374e21686e7..d384c319ee361 100644
--- a/planning/autoware_velocity_smoother/test/test_velocity_smoother_node_interface.cpp
+++ b/planning/autoware_velocity_smoother/test/test_velocity_smoother_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_velocity_smoother/node.hpp"
+#include "autoware/velocity_smoother/node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/README.md
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/config/avoidance_by_lane_change.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/config/avoidance_by_lane_change.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/config/avoidance_by_lane_change.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/config/avoidance_by_lane_change.param.yaml
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lane_change.svg b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lane_change.svg
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lane_change.svg
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lane_change.svg
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_1.svg b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_1.svg
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_1.svg
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_1.svg
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_2.svg b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_2.svg
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_2.svg
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/images/avoidance_by_lc_trigger_2.svg
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/package.xml
index 8bb9e96c881c1..e9a4ba5094310 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/package.xml
@@ -22,12 +22,12 @@
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
   <depend>autoware_behavior_path_static_obstacle_avoidance_module</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_rtc_interface</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/plugins.xml
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp
similarity index 95%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp
index cd515fbfce5da..2784a6b98de1a 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/data_structs.hpp
@@ -14,7 +14,7 @@
 #ifndef DATA_STRUCTS_HPP_
 #define DATA_STRUCTS_HPP_
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
 
 namespace autoware::behavior_path_planner
 {
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp
similarity index 95%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp
index c2e31dd6136f0..4c9f139365a06 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.cpp
@@ -14,8 +14,8 @@
 
 #include "interface.hpp"
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
 
 #include <memory>
 #include <string>
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp
similarity index 96%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp
index 77bcf3ec6e1aa..c7fbba34b1adb 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/interface.hpp
@@ -15,7 +15,7 @@
 #ifndef INTERFACE_HPP_
 #define INTERFACE_HPP_
 
-#include "autoware_behavior_path_lane_change_module/interface.hpp"
+#include "autoware/behavior_path_lane_change_module/interface.hpp"
 #include "data_structs.hpp"
 #include "scene.hpp"
 
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp
index 867187ce5055a..02b90186d9b2f 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.cpp
@@ -14,10 +14,10 @@
 
 #include "manager.hpp"
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "data_structs.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -32,8 +32,8 @@ using autoware::behavior_path_planner::ObjectParameter;
 
 void AvoidanceByLaneChangeModuleManager::init(rclcpp::Node * node)
 {
+  using autoware::universe_utils::getOrDeclareParameter;
   using autoware_perception_msgs::msg::ObjectClassification;
-  using tier4_autoware_utils::getOrDeclareParameter;
 
   // init manager interface
   initInterface(node, {"left", "right"});
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp
similarity index 96%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp
index 2a282c42d1760..95609a430ac80 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/manager.hpp
@@ -15,7 +15,7 @@
 #ifndef MANAGER_HPP_
 #define MANAGER_HPP_
 
-#include "autoware_behavior_path_lane_change_module/manager.hpp"
+#include "autoware/behavior_path_lane_change_module/manager.hpp"
 #include "data_structs.hpp"
 #include "interface.hpp"
 
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp
similarity index 94%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp
index ac3904c060f3a..a19cbda6ccad7 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.cpp
@@ -14,14 +14,14 @@
 
 #include "scene.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
-
-#include <autoware_behavior_path_lane_change_module/utils/utils.hpp>
-#include <autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp>
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
+
+#include <autoware/behavior_path_lane_change_module/utils/utils.hpp>
+#include <autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/logging.hpp>
 
@@ -195,10 +195,10 @@ void AvoidanceByLaneChange::fillAvoidanceTargetObjects(
 std::optional<ObjectData> AvoidanceByLaneChange::createObjectData(
   const AvoidancePlanningData & data, const PredictedObject & object) const
 {
+  using autoware::motion_utils::findNearestIndex;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::calcLateralDeviation;
   using boost::geometry::return_centroid;
-  using motion_utils::findNearestIndex;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::calcLateralDeviation;
 
   const auto p = std::dynamic_pointer_cast<AvoidanceParameters>(avoidance_parameters_);
 
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp
similarity index 95%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp
index bce49f8299083..d6bf6bc29df97 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/src/scene.hpp
@@ -15,8 +15,8 @@
 #ifndef SCENE_HPP_
 #define SCENE_HPP_
 
-#include "autoware_behavior_path_lane_change_module/scene.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp"
+#include "autoware/behavior_path_lane_change_module/scene.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp"
 #include "data_structs.hpp"
 
 #include <memory>
diff --git a/planning/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
index a34c2ed22004c..cdefc7f82125a 100644
--- a/planning/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_avoidance_by_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/README.md
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/config/dynamic_obstacle_avoidance.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/config/dynamic_obstacle_avoidance.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/config/dynamic_obstacle_avoidance.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/config/dynamic_obstacle_avoidance.param.yaml
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-13-01.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-13-01.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-13-01.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-13-01.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-32-03.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-32-03.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-32-03.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/2024-04-18_15-32-03.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/drivable_area_extraction_width.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/drivable_area_extraction_width.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/drivable_area_extraction_width.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/drivable_area_extraction_width.drawio.svg
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-151945.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-151945.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-151945.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-151945.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-152835.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-152835.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-152835.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230807-152835.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-095936.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-095936.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-095936.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-095936.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-152853.png b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-152853.png
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-152853.png
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/image-20230808-152853.png
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/opposite_directional_object.svg b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/opposite_directional_object.svg
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/opposite_directional_object.svg
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/opposite_directional_object.svg
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/same_directional_object.svg b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/same_directional_object.svg
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/same_directional_object.svg
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/image/same_directional_object.svg
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/manager.hpp
similarity index 80%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/manager.hpp
index f42956c60bbce..9c85a463067de 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/manager.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_dynamic_obstacle_avoidance_module/scene.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_dynamic_obstacle_avoidance_module/scene.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -55,4 +55,4 @@ class DynamicObstacleAvoidanceModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/scene.hpp
similarity index 94%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/scene.hpp
index 07cea08d491f9..6ea15a9309c3c 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware_behavior_path_dynamic_obstacle_avoidance_module/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/include/autoware/behavior_path_dynamic_obstacle_avoidance_module/scene.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_path.hpp>
@@ -57,8 +57,8 @@ std::vector<T> getAllKeys(const std::unordered_map<T, S> & map)
 
 namespace autoware::behavior_path_planner
 {
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedPath;
-using tier4_autoware_utils::Polygon2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 struct MinMaxValue
@@ -176,7 +176,7 @@ class DynamicObstacleAvoidanceModule : public SceneModuleInterface
       const PredictedObject & predicted_object, const double arg_vel, const double arg_lat_vel,
       const bool arg_is_object_on_ego_path,
       const std::optional<rclcpp::Time> & arg_latest_time_inside_ego_path)
-    : uuid(tier4_autoware_utils::toHexString(predicted_object.object_id)),
+    : uuid(autoware::universe_utils::toHexString(predicted_object.object_id)),
       label(predicted_object.classification.front().label),
       pose(predicted_object.kinematics.initial_pose_with_covariance.pose),
       shape(predicted_object.shape),
@@ -374,8 +374,8 @@ class DynamicObstacleAvoidanceModule : public SceneModuleInterface
   };
   struct EgoPathReservePoly
   {
-    const tier4_autoware_utils::Polygon2d left_avoid;
-    const tier4_autoware_utils::Polygon2d right_avoid;
+    const autoware::universe_utils::Polygon2d left_avoid;
+    const autoware::universe_utils::Polygon2d right_avoid;
   };
 
   bool canTransitSuccessState() override;
@@ -431,11 +431,11 @@ class DynamicObstacleAvoidanceModule : public SceneModuleInterface
     const DynamicAvoidanceObject & object) const;
   std::pair<lanelet::ConstLanelets, lanelet::ConstLanelets> getAdjacentLanes(
     const double forward_distance, const double backward_distance) const;
-  std::optional<tier4_autoware_utils::Polygon2d> calcEgoPathBasedDynamicObstaclePolygon(
+  std::optional<autoware::universe_utils::Polygon2d> calcEgoPathBasedDynamicObstaclePolygon(
     const DynamicAvoidanceObject & object) const;
-  std::optional<tier4_autoware_utils::Polygon2d> calcObjectPathBasedDynamicObstaclePolygon(
+  std::optional<autoware::universe_utils::Polygon2d> calcObjectPathBasedDynamicObstaclePolygon(
     const DynamicAvoidanceObject & object) const;
-  std::optional<tier4_autoware_utils::Polygon2d> calcPredictedPathBasedDynamicObstaclePolygon(
+  std::optional<autoware::universe_utils::Polygon2d> calcPredictedPathBasedDynamicObstaclePolygon(
     const DynamicAvoidanceObject & object, const EgoPathReservePoly & ego_path_poly) const;
   EgoPathReservePoly calcEgoPathReservePoly(const PathWithLaneId & ego_path) const;
 
@@ -455,10 +455,10 @@ class DynamicObstacleAvoidanceModule : public SceneModuleInterface
 
   TargetObjectsManager target_objects_manager_;
 
-  mutable tier4_autoware_utils::StopWatch<
+  mutable autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_DYNAMIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml
index a22e34f20a922..6dd430ce35f44 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/package.xml
@@ -18,18 +18,18 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_core</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>object_recognition_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>signal_processing</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/plugins.xml
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp
similarity index 98%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp
index cc87e9f1c3c81..eccf2b2a1bfde 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/manager.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_dynamic_obstacle_avoidance_module/manager.hpp"
+#include "autoware/behavior_path_dynamic_obstacle_avoidance_module/manager.hpp"
 
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -152,7 +152,7 @@ void DynamicObstacleAvoidanceModuleManager::init(rclcpp::Node * node)
 void DynamicObstacleAvoidanceModuleManager::updateModuleParams(
   [[maybe_unused]] const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
   auto & p = parameters_;
 
   {  // common
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp
similarity index 89%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp
index 0cf9b0fc7bd8b..8b411340e4ddc 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_dynamic_obstacle_avoidance_module/scene.hpp"
+#include "autoware/behavior_path_dynamic_obstacle_avoidance_module/scene.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
 #include "signal_processing/lowpass_filter_1d.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
 
 #include <lanelet2_extension/utility/utilities.hpp>
 
@@ -41,7 +41,7 @@ namespace autoware::behavior_path_planner
 {
 namespace
 {
-geometry_msgs::msg::Point toGeometryPoint(const tier4_autoware_utils::Point2d & point)
+geometry_msgs::msg::Point toGeometryPoint(const autoware::universe_utils::Point2d & point)
 {
   geometry_msgs::msg::Point geom_obj_point;
   geom_obj_point.x = point.x();
@@ -65,24 +65,25 @@ MinMaxValue combineMinMaxValues(const MinMaxValue & r1, const MinMaxValue & r2)
 
 void appendObjectMarker(MarkerArray & marker_array, const geometry_msgs::msg::Pose & obj_pose)
 {
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", rclcpp::Clock{RCL_ROS_TIME}.now(), "dynamic_objects_to_avoid",
     marker_array.markers.size(), visualization_msgs::msg::Marker::CUBE,
-    tier4_autoware_utils::createMarkerScale(3.0, 1.0, 1.0),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.5, 0.6, 0.8));
+    autoware::universe_utils::createMarkerScale(3.0, 1.0, 1.0),
+    autoware::universe_utils::createMarkerColor(1.0, 0.5, 0.6, 0.8));
   marker.pose = obj_pose;
 
   marker_array.markers.push_back(marker);
 }
 
 void appendExtractedPolygonMarker(
-  MarkerArray & marker_array, const tier4_autoware_utils::Polygon2d & obj_poly, const double obj_z)
+  MarkerArray & marker_array, const autoware::universe_utils::Polygon2d & obj_poly,
+  const double obj_z)
 {
-  auto marker = tier4_autoware_utils::createDefaultMarker(
+  auto marker = autoware::universe_utils::createDefaultMarker(
     "map", rclcpp::Clock{RCL_ROS_TIME}.now(), "extracted_polygons", marker_array.markers.size(),
     visualization_msgs::msg::Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(0.1, 0.0, 0.0),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.5, 0.6, 0.8));
+    autoware::universe_utils::createMarkerScale(0.1, 0.0, 0.0),
+    autoware::universe_utils::createMarkerColor(1.0, 0.5, 0.6, 0.8));
 
   // NOTE: obj_poly.outer() has already duplicated points to close the polygon.
   for (size_t i = 0; i < obj_poly.outer().size(); ++i) {
@@ -116,7 +117,7 @@ std::pair<double, double> projectObstacleVelocityToTrajectory(
 {
   const auto & obj_pose = object.kinematics.initial_pose_with_covariance.pose;
   const double obj_yaw = tf2::getYaw(obj_pose.orientation);
-  const size_t obj_idx = motion_utils::findNearestIndex(path_points, obj_pose.position);
+  const size_t obj_idx = autoware::motion_utils::findNearestIndex(path_points, obj_pose.position);
   const double path_yaw = tf2::getYaw(path_points.at(obj_idx).point.pose.orientation);
 
   const Eigen::Rotation2Dd R_ego_to_obstacle(obj_yaw - path_yaw);
@@ -171,27 +172,28 @@ double calcDiffAngleAgainstPath(
   const std::vector<PathPointWithLaneId> & path_points,
   const geometry_msgs::msg::Pose & target_pose)
 {
-  const size_t nearest_idx = motion_utils::findNearestIndex(path_points, target_pose.position);
+  const size_t nearest_idx =
+    autoware::motion_utils::findNearestIndex(path_points, target_pose.position);
   const double traj_yaw = tf2::getYaw(path_points.at(nearest_idx).point.pose.orientation);
 
   const double target_yaw = tf2::getYaw(target_pose.orientation);
 
-  const double diff_yaw = tier4_autoware_utils::normalizeRadian(target_yaw - traj_yaw);
+  const double diff_yaw = autoware::universe_utils::normalizeRadian(target_yaw - traj_yaw);
   return diff_yaw;
 }
 
 [[maybe_unused]] double calcDiffAngleBetweenPaths(
   const std::vector<PathPointWithLaneId> & path_points, const PredictedPath & predicted_path)
 {
-  const size_t nearest_idx =
-    motion_utils::findNearestSegmentIndex(path_points, predicted_path.path.front().position);
+  const size_t nearest_idx = autoware::motion_utils::findNearestSegmentIndex(
+    path_points, predicted_path.path.front().position);
   const double ego_yaw = tf2::getYaw(path_points.at(nearest_idx).point.pose.orientation);
 
   constexpr size_t max_predicted_path_size = 5;
   double signed_max_angle{0.0};
   for (size_t i = 0; i < std::min(max_predicted_path_size, predicted_path.path.size()); ++i) {
     const double obj_yaw = tf2::getYaw(predicted_path.path.at(i).orientation);
-    const double diff_yaw = tier4_autoware_utils::normalizeRadian(obj_yaw - ego_yaw);
+    const double diff_yaw = autoware::universe_utils::normalizeRadian(obj_yaw - ego_yaw);
     if (std::abs(signed_max_angle) < std::abs(diff_yaw)) {
       signed_max_angle = diff_yaw;
     }
@@ -203,32 +205,34 @@ double calcDistanceToPath(
   const std::vector<PathPointWithLaneId> & path_points,
   const geometry_msgs::msg::Point & target_pos)
 {
-  const size_t target_idx = motion_utils::findNearestIndex(path_points, target_pos);
+  const size_t target_idx = autoware::motion_utils::findNearestIndex(path_points, target_pos);
   if (target_idx == 0 || target_idx == path_points.size() - 1) {
     const double target_yaw = tf2::getYaw(path_points.at(target_idx).point.pose.orientation);
-    const double angle_to_target_pos = tier4_autoware_utils::calcAzimuthAngle(
+    const double angle_to_target_pos = autoware::universe_utils::calcAzimuthAngle(
       path_points.at(target_idx).point.pose.position, target_pos);
-    const double diff_yaw = tier4_autoware_utils::normalizeRadian(angle_to_target_pos - target_yaw);
+    const double diff_yaw =
+      autoware::universe_utils::normalizeRadian(angle_to_target_pos - target_yaw);
 
     if (
       (target_idx == 0 && (diff_yaw < -M_PI_2 || M_PI_2 < diff_yaw)) ||
       (target_idx == path_points.size() - 1 && (-M_PI_2 < diff_yaw && diff_yaw < M_PI_2))) {
-      return tier4_autoware_utils::calcDistance2d(path_points.at(target_idx), target_pos);
+      return autoware::universe_utils::calcDistance2d(path_points.at(target_idx), target_pos);
     }
   }
 
-  return std::abs(motion_utils::calcLateralOffset(path_points, target_pos));
+  return std::abs(autoware::motion_utils::calcLateralOffset(path_points, target_pos));
 }
 
 bool isLeft(
   const std::vector<PathPointWithLaneId> & path_points,
   const geometry_msgs::msg::Point & target_pos)
 {
-  const size_t target_idx = motion_utils::findNearestIndex(path_points, target_pos);
+  const size_t target_idx = autoware::motion_utils::findNearestIndex(path_points, target_pos);
   const double target_yaw = tf2::getYaw(path_points.at(target_idx).point.pose.orientation);
-  const double angle_to_target_pos = tier4_autoware_utils::calcAzimuthAngle(
+  const double angle_to_target_pos = autoware::universe_utils::calcAzimuthAngle(
     path_points.at(target_idx).point.pose.position, target_pos);
-  const double diff_yaw = tier4_autoware_utils::normalizeRadian(angle_to_target_pos - target_yaw);
+  const double diff_yaw =
+    autoware::universe_utils::normalizeRadian(angle_to_target_pos - target_yaw);
 
   if (0 < diff_yaw) {
     return true;
@@ -279,7 +283,7 @@ std::optional<std::pair<size_t, geometry_msgs::msg::Point>> intersectLines(
        ++source_seg_idx) {
     for (int target_seg_idx = 0; target_seg_idx < static_cast<int>(target_line.size()) - 1;
          ++target_seg_idx) {
-      const auto intersect_point = tier4_autoware_utils::intersect(
+      const auto intersect_point = autoware::universe_utils::intersect(
         source_line.at(source_seg_idx).position, source_line.at(source_seg_idx + 1).position,
         target_line.at(target_seg_idx), target_line.at(target_seg_idx + 1));
       if (intersect_point) {
@@ -325,7 +329,7 @@ bool DynamicObstacleAvoidanceModule::isExecutionRequested() const
   }
 
   // check if the ego is driving forward
-  const auto is_driving_forward = motion_utils::isDrivingForward(input_path.points);
+  const auto is_driving_forward = autoware::motion_utils::isDrivingForward(input_path.points);
   if (!is_driving_forward || !(*is_driving_forward)) {
     return false;
   }
@@ -494,7 +498,7 @@ void DynamicObstacleAvoidanceModule::registerRegulatedObjects(
   const auto & predicted_objects = planner_data_->dynamic_object->objects;
 
   for (const auto & predicted_object : predicted_objects) {
-    const auto obj_uuid = tier4_autoware_utils::toHexString(predicted_object.object_id);
+    const auto obj_uuid = autoware::universe_utils::toHexString(predicted_object.object_id);
     const auto & obj_pose = predicted_object.kinematics.initial_pose_with_covariance.pose;
     const double obj_vel_norm = std::hypot(
       predicted_object.kinematics.initial_twist_with_covariance.twist.linear.x,
@@ -582,7 +586,7 @@ void DynamicObstacleAvoidanceModule::registerUnregulatedObjects(
   const auto & predicted_objects = planner_data_->dynamic_object->objects;
 
   for (const auto & predicted_object : predicted_objects) {
-    const auto obj_uuid = tier4_autoware_utils::toHexString(predicted_object.object_id);
+    const auto obj_uuid = autoware::universe_utils::toHexString(predicted_object.object_id);
     const auto & obj_pose = predicted_object.kinematics.initial_pose_with_covariance.pose;
     const double obj_vel_norm = std::hypot(
       predicted_object.kinematics.initial_twist_with_covariance.twist.linear.x,
@@ -622,7 +626,7 @@ void DynamicObstacleAvoidanceModule::registerUnregulatedObjects(
     //  1.f. calculate the object is on ego's path or not
 
     const double dist_obj_center_to_path =
-      std::abs(motion_utils::calcLateralOffset(input_path.points, obj_pose.position));
+      std::abs(autoware::motion_utils::calcLateralOffset(input_path.points, obj_pose.position));
     const bool is_object_on_ego_path =
       dist_obj_center_to_path <
       planner_data_->parameters.vehicle_width / 2.0 + parameters_->min_obj_lat_offset_to_ego_path;
@@ -762,7 +766,7 @@ void DynamicObstacleAvoidanceModule::determineWhetherToAvoidAgainstRegulatedObje
     // 2.g. check if the ego is not ahead of the object.
     const double signed_dist_ego_to_obj = [&]() {
       const size_t ego_seg_idx = planner_data_->findEgoSegmentIndex(input_path.points);
-      const double lon_offset_ego_to_obj = motion_utils::calcSignedArcLength(
+      const double lon_offset_ego_to_obj = autoware::motion_utils::calcSignedArcLength(
         input_path.points, getEgoPose().position, ego_seg_idx, lat_lon_offset.nearest_idx);
       if (0 < lon_offset_ego_to_obj) {
         return std::max(
@@ -784,7 +788,7 @@ void DynamicObstacleAvoidanceModule::determineWhetherToAvoidAgainstRegulatedObje
 
     // 2.h. calculate longitudinal and lateral offset to avoid to generate object polygon by
     // "ego_path_base"
-    const auto obj_points = tier4_autoware_utils::toPolygon2d(object.pose, object.shape);
+    const auto obj_points = autoware::universe_utils::toPolygon2d(object.pose, object.shape);
     const auto lon_offset_to_avoid = calcMinMaxLongitudinalOffsetToAvoid(
       ref_path_points_for_obj_poly, object.pose, obj_points, object.vel, obj_path, object.shape,
       time_while_collision);
@@ -827,7 +831,7 @@ void DynamicObstacleAvoidanceModule::determineWhetherToAvoidAgainstUnregulatedOb
       getLateralLongitudinalOffset(input_path.points, object.pose, object.shape);
     const double signed_dist_ego_to_obj = [&]() {
       const size_t ego_seg_idx = planner_data_->findEgoSegmentIndex(input_path.points);
-      const double lon_offset_ego_to_obj = motion_utils::calcSignedArcLength(
+      const double lon_offset_ego_to_obj = autoware::motion_utils::calcSignedArcLength(
         input_path.points, getEgoPose().position, ego_seg_idx, lat_lon_offset.nearest_idx);
       if (0 < lon_offset_ego_to_obj) {
         return std::max(
@@ -887,19 +891,19 @@ LatFeasiblePaths DynamicObstacleAvoidanceModule::generateLateralFeasiblePaths(
     const double y = feasible_lat_offset;
 
     const auto feasible_left_bound_point =
-      tier4_autoware_utils::calcOffsetPose(ego_pose, x, -y, 0.0).position;
+      autoware::universe_utils::calcOffsetPose(ego_pose, x, -y, 0.0).position;
     ego_lat_feasible_paths.left_path.push_back(feasible_left_bound_point);
 
     const auto feasible_right_bound_point =
-      tier4_autoware_utils::calcOffsetPose(ego_pose, x, y, 0.0).position;
+      autoware::universe_utils::calcOffsetPose(ego_pose, x, y, 0.0).position;
     ego_lat_feasible_paths.right_path.push_back(feasible_right_bound_point);
   }
 
-  tier4_autoware_utils::appendMarkerArray(
+  autoware::universe_utils::appendMarkerArray(
     marker_utils::createPointsMarkerArray(
       ego_lat_feasible_paths.left_path, "ego_lat_feasible_left_path", 0, 0.6, 0.9, 0.9),
     &debug_marker_);
-  tier4_autoware_utils::appendMarkerArray(
+  autoware::universe_utils::appendMarkerArray(
     marker_utils::createPointsMarkerArray(
       ego_lat_feasible_paths.right_path, "ego_lat_feasible_right_path", 0, 0.6, 0.9, 0.9),
     &debug_marker_);
@@ -914,7 +918,7 @@ LatFeasiblePaths DynamicObstacleAvoidanceModule::generateLateralFeasiblePaths(
     // check if the ego is close enough to the current ref path, meaning that lane change ends.
     const auto ego_pos = getEgoPose().position;
     const double dist_to_ref_path =
-      std::abs(motion_utils::calcLateralOffset(ego_ref_path_points, ego_pos));
+      std::abs(autoware::motion_utils::calcLateralOffset(ego_ref_path_points, ego_pos));
 
     constexpr double epsilon_dist_to_ref_path = 0.5;
     if (dist_to_ref_path < epsilon_dist_to_ref_path) {
@@ -923,7 +927,7 @@ LatFeasiblePaths DynamicObstacleAvoidanceModule::generateLateralFeasiblePaths(
   } else {
     // check if the ego is during lane change.
     if (prev_input_ref_path_points_ && !prev_input_ref_path_points_->empty()) {
-      const double dist_ref_paths = std::abs(motion_utils::calcLateralOffset(
+      const double dist_ref_paths = std::abs(autoware::motion_utils::calcLateralOffset(
         ego_ref_path_points, prev_input_ref_path_points_->front().point.pose.position));
       constexpr double epsilon_ref_paths_diff = 1.0;
       if (epsilon_ref_paths_diff < dist_ref_paths) {
@@ -943,7 +947,7 @@ DynamicObstacleAvoidanceModule::calcCollisionSection(
   std::optional<size_t> collision_start_idx{std::nullopt};
   double lon_dist = 0.0;
   for (size_t i = ego_idx; i < ego_path.size() - 1; ++i) {
-    lon_dist += tier4_autoware_utils::calcDistance2d(ego_path.at(i), ego_path.at(i + 1));
+    lon_dist += autoware::universe_utils::calcDistance2d(ego_path.at(i), ego_path.at(i + 1));
     const double elapsed_time = lon_dist / ego_vel;
 
     const auto future_ego_pose = ego_path.at(i);
@@ -952,7 +956,7 @@ DynamicObstacleAvoidanceModule::calcCollisionSection(
 
     if (future_obj_pose) {
       const double dist_ego_to_obj =
-        tier4_autoware_utils::calcDistance2d(future_ego_pose, *future_obj_pose);
+        autoware::universe_utils::calcDistance2d(future_ego_pose, *future_obj_pose);
       if (dist_ego_to_obj < 1.0) {
         if (!collision_start_idx) {
           collision_start_idx = i;
@@ -978,7 +982,7 @@ TimeWhileCollision DynamicObstacleAvoidanceModule::calcTimeWhileCollision(
   // Set maximum time-to-collision 0 if the object longitudinally overlaps ego.
   // NOTE: This is to avoid objects running right beside ego even if time-to-collision is negative.
   const size_t ego_seg_idx = planner_data_->findEgoSegmentIndex(ego_path);
-  const double lon_offset_ego_to_obj_idx = motion_utils::calcSignedArcLength(
+  const double lon_offset_ego_to_obj_idx = autoware::motion_utils::calcSignedArcLength(
     ego_path, getEgoPose().position, ego_seg_idx, lat_lon_offset.nearest_idx);
   const double relative_velocity = getEgoSpeed() - obj_tangent_vel;
 
@@ -1050,7 +1054,7 @@ bool DynamicObstacleAvoidanceModule::willObjectCutIn(
   const bool will_object_cut_in = [&]() {
     for (const auto & predicted_path_point : predicted_path.path) {
       const double paths_lat_diff =
-        motion_utils::calcLateralOffset(ego_path, predicted_path_point.position);
+        autoware::motion_utils::calcLateralOffset(ego_path, predicted_path_point.position);
       if (std::abs(paths_lat_diff) < planner_data_->parameters.vehicle_width / 2.0) {
         return true;
       }
@@ -1066,7 +1070,7 @@ bool DynamicObstacleAvoidanceModule::willObjectCutIn(
   const size_t ego_seg_idx = planner_data_->findEgoSegmentIndex(ego_path);
   const double relative_velocity = getEgoSpeed() - obj_tangent_vel;
   const double lon_offset_ego_to_obj =
-    motion_utils::calcSignedArcLength(
+    autoware::motion_utils::calcSignedArcLength(
       ego_path, getEgoPose().position, ego_seg_idx, lat_lon_offset.nearest_idx) +
     lat_lon_offset.min_lon_offset;
   if (
@@ -1129,8 +1133,8 @@ DynamicObstacleAvoidanceModule::DecisionWithReason DynamicObstacleAvoidanceModul
   }
 
   // Check if object is in the lane before ego's lane change.
-  const double dist_to_ref_path_before_lane_change =
-    std::abs(motion_utils::calcLateralOffset(*ref_path_before_lane_change_, obj_pose.position));
+  const double dist_to_ref_path_before_lane_change = std::abs(
+    autoware::motion_utils::calcLateralOffset(*ref_path_before_lane_change_, obj_pose.position));
   const double epsilon_dist_checking_in_lane = calcObstacleWidth(obj_shape);
   if (epsilon_dist_checking_in_lane < dist_to_ref_path_before_lane_change) {
     return false;
@@ -1185,8 +1189,9 @@ DynamicObstacleAvoidanceModule::getLateralLongitudinalOffset(
   const std::vector<PathPointWithLaneId> & ego_path, const geometry_msgs::msg::Pose & obj_pose,
   const autoware_perception_msgs::msg::Shape & obj_shape) const
 {
-  const size_t obj_seg_idx = motion_utils::findNearestSegmentIndex(ego_path, obj_pose.position);
-  const auto obj_points = tier4_autoware_utils::toPolygon2d(obj_pose, obj_shape);
+  const size_t obj_seg_idx =
+    autoware::motion_utils::findNearestSegmentIndex(ego_path, obj_pose.position);
+  const auto obj_points = autoware::universe_utils::toPolygon2d(obj_pose, obj_shape);
 
   // TODO(murooka) calculation is not so accurate.
   std::vector<double> obj_lat_offset_vec;
@@ -1194,16 +1199,16 @@ DynamicObstacleAvoidanceModule::getLateralLongitudinalOffset(
   for (size_t i = 0; i < obj_points.outer().size(); ++i) {
     const auto geom_obj_point = toGeometryPoint(obj_points.outer().at(i));
     const size_t obj_point_seg_idx =
-      motion_utils::findNearestSegmentIndex(ego_path, geom_obj_point);
+      autoware::motion_utils::findNearestSegmentIndex(ego_path, geom_obj_point);
 
     // calculate lateral offset
     const double obj_point_lat_offset =
-      motion_utils::calcLateralOffset(ego_path, geom_obj_point, obj_point_seg_idx);
+      autoware::motion_utils::calcLateralOffset(ego_path, geom_obj_point, obj_point_seg_idx);
     obj_lat_offset_vec.push_back(obj_point_lat_offset);
 
     // calculate longitudinal offset
-    const double lon_offset =
-      motion_utils::calcLongitudinalOffsetToSegment(ego_path, obj_seg_idx, geom_obj_point);
+    const double lon_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+      ego_path, obj_seg_idx, geom_obj_point);
     obj_lon_offset_vec.push_back(lon_offset);
   }
 
@@ -1221,15 +1226,15 @@ MinMaxValue DynamicObstacleAvoidanceModule::calcMinMaxLongitudinalOffsetToAvoid(
   const PredictedPath & obj_path, const autoware_perception_msgs::msg::Shape & obj_shape,
   const TimeWhileCollision & time_while_collision) const
 {
-  const size_t obj_seg_idx =
-    motion_utils::findNearestSegmentIndex(ref_path_points_for_obj_poly, obj_pose.position);
+  const size_t obj_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
+    ref_path_points_for_obj_poly, obj_pose.position);
 
   // calculate min/max longitudinal offset from object to path
   const auto obj_lon_offset = [&]() {
     std::vector<double> obj_lon_offset_vec;
     for (size_t i = 0; i < obj_points.outer().size(); ++i) {
       const auto geom_obj_point = toGeometryPoint(obj_points.outer().at(i));
-      const double lon_offset = motion_utils::calcLongitudinalOffsetToSegment(
+      const double lon_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
         ref_path_points_for_obj_poly, obj_seg_idx, geom_obj_point);
       obj_lon_offset_vec.push_back(lon_offset);
     }
@@ -1294,7 +1299,7 @@ double DynamicObstacleAvoidanceModule::calcValidLengthToAvoid(
 {
   const auto & input_path_points = getPreviousModuleOutput().path.points;
   const size_t obj_seg_idx =
-    motion_utils::findNearestSegmentIndex(input_path_points, obj_pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(input_path_points, obj_pose.position);
 
   constexpr double dist_threshold_additional_margin = 0.5;
   const double dist_threshold_paths =
@@ -1312,7 +1317,7 @@ double DynamicObstacleAvoidanceModule::calcValidLengthToAvoid(
     std::reverse(cropped_ego_path_points.begin(), cropped_ego_path_points.end());
   }
   if (cropped_ego_path_points.size() < 2) {
-    return motion_utils::calcArcLength(obj_path.path);
+    return autoware::motion_utils::calcArcLength(obj_path.path);
   }
 
   // calculate where the object's path will be forked from (= far from) the ego's path.
@@ -1366,17 +1371,18 @@ double DynamicObstacleAvoidanceModule::calcValidLengthToAvoid(
     const auto prev_min_dist = calc_min_dist(prev_valid_obj_path_end_idx);
     const auto next_min_dist = calc_min_dist(next_valid_obj_path_end_idx);
     if (prev_min_dist && next_min_dist) {
-      const double segment_length = tier4_autoware_utils::calcDistance2d(
+      const double segment_length = autoware::universe_utils::calcDistance2d(
         obj_path.path.at(prev_valid_obj_path_end_idx),
         obj_path.path.at(next_valid_obj_path_end_idx));
       const double partial_segment_length = segment_length *
                                             (dist_threshold_paths - *prev_min_dist) /
                                             (*next_min_dist - *prev_min_dist);
-      return motion_utils::calcSignedArcLength(obj_path.path, 0, prev_valid_obj_path_end_idx) +
+      return autoware::motion_utils::calcSignedArcLength(
+               obj_path.path, 0, prev_valid_obj_path_end_idx) +
              partial_segment_length;
     }
   }
-  return motion_utils::calcSignedArcLength(obj_path.path, 0, valid_obj_path_end_idx);
+  return autoware::motion_utils::calcSignedArcLength(obj_path.path, 0, valid_obj_path_end_idx);
 }
 
 // min value denotes near side, max value denotes far side
@@ -1394,8 +1400,8 @@ DynamicObstacleAvoidanceModule::calcMinMaxLateralOffsetToAvoidRegulatedObject(
       return true;
     }
     const size_t obj_point_idx =
-      motion_utils::findNearestIndex(ref_path_points_for_obj_poly, obj_pos);
-    const double paths_lat_diff = std::abs(motion_utils::calcLateralOffset(
+      autoware::motion_utils::findNearestIndex(ref_path_points_for_obj_poly, obj_pos);
+    const double paths_lat_diff = std::abs(autoware::motion_utils::calcLateralOffset(
       prev_object->ref_path_points_for_obj_poly,
       ref_path_points_for_obj_poly.at(obj_point_idx).point.pose.position));
 
@@ -1413,9 +1419,9 @@ DynamicObstacleAvoidanceModule::calcMinMaxLateralOffsetToAvoidRegulatedObject(
     std::vector<double> obj_lat_abs_offset_vec;
     for (size_t i = 0; i < obj_points.outer().size(); ++i) {
       const auto geom_obj_point = toGeometryPoint(obj_points.outer().at(i));
-      const size_t obj_point_seg_idx =
-        motion_utils::findNearestSegmentIndex(ref_path_points_for_obj_poly, geom_obj_point);
-      const double obj_point_lat_offset = motion_utils::calcLateralOffset(
+      const size_t obj_point_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
+        ref_path_points_for_obj_poly, geom_obj_point);
+      const double obj_point_lat_offset = autoware::motion_utils::calcLateralOffset(
         ref_path_points_for_obj_poly, geom_obj_point, obj_point_seg_idx);
       obj_lat_abs_offset_vec.push_back(obj_point_lat_offset);
     }
@@ -1488,8 +1494,8 @@ DynamicObstacleAvoidanceModule::calcMinMaxLateralOffsetToAvoidUnregulatedObject(
       return true;
     }
     const size_t obj_point_idx =
-      motion_utils::findNearestIndex(ref_path_points_for_obj_poly, object.pose.position);
-    const double paths_lat_diff = std::abs(motion_utils::calcLateralOffset(
+      autoware::motion_utils::findNearestIndex(ref_path_points_for_obj_poly, object.pose.position);
+    const double paths_lat_diff = std::abs(autoware::motion_utils::calcLateralOffset(
       prev_object->ref_path_points_for_obj_poly,
       ref_path_points_for_obj_poly.at(obj_point_idx).point.pose.position));
 
@@ -1503,13 +1509,14 @@ DynamicObstacleAvoidanceModule::calcMinMaxLateralOffsetToAvoidUnregulatedObject(
   }();
 
   const auto obj_occupancy_region = [&]() {
-    const auto obj_points = tier4_autoware_utils::toPolygon2d(object.pose, object.shape);
+    const auto obj_points = autoware::universe_utils::toPolygon2d(object.pose, object.shape);
     std::vector<double> lat_pos_vec;
     for (size_t i = 0; i < obj_points.outer().size(); ++i) {
       const auto geom_obj_point = toGeometryPoint(obj_points.outer().at(i));
-      const double obj_point_lat_offset = motion_utils::calcLateralOffset(
+      const double obj_point_lat_offset = autoware::motion_utils::calcLateralOffset(
         ref_path_points_for_obj_poly, geom_obj_point,
-        motion_utils::findNearestSegmentIndex(ref_path_points_for_obj_poly, geom_obj_point));
+        autoware::motion_utils::findNearestSegmentIndex(
+          ref_path_points_for_obj_poly, geom_obj_point));
       lat_pos_vec.push_back(obj_point_lat_offset);
     }
     const auto current_pos_area = getMinMaxValues(lat_pos_vec);
@@ -1559,7 +1566,7 @@ DynamicObstacleAvoidanceModule::calcMinMaxLateralOffsetToAvoidUnregulatedObject(
 }
 
 // NOTE: object does not have const only to update min_bound_lat_offset.
-std::optional<tier4_autoware_utils::Polygon2d>
+std::optional<autoware::universe_utils::Polygon2d>
 DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
   const DynamicAvoidanceObject & object) const
 {
@@ -1569,16 +1576,16 @@ DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
 
   auto ref_path_points_for_obj_poly = object.ref_path_points_for_obj_poly;
 
-  const size_t obj_seg_idx =
-    motion_utils::findNearestSegmentIndex(ref_path_points_for_obj_poly, object.pose.position);
-  // const auto obj_points = tier4_autoware_utils::toPolygon2d(object.pose, object.shape);
+  const size_t obj_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
+    ref_path_points_for_obj_poly, object.pose.position);
+  // const auto obj_points = autoware::universe_utils::toPolygon2d(object.pose, object.shape);
 
-  const auto lon_bound_start_idx_opt = motion_utils::insertTargetPoint(
+  const auto lon_bound_start_idx_opt = autoware::motion_utils::insertTargetPoint(
     obj_seg_idx, object.lon_offset_to_avoid->min_value, ref_path_points_for_obj_poly);
   const size_t updated_obj_seg_idx =
     (lon_bound_start_idx_opt && lon_bound_start_idx_opt.value() <= obj_seg_idx) ? obj_seg_idx + 1
                                                                                 : obj_seg_idx;
-  const auto lon_bound_end_idx_opt = motion_utils::insertTargetPoint(
+  const auto lon_bound_end_idx_opt = autoware::motion_utils::insertTargetPoint(
     updated_obj_seg_idx, object.lon_offset_to_avoid->max_value, ref_path_points_for_obj_poly);
 
   if (!lon_bound_start_idx_opt && !lon_bound_end_idx_opt) {
@@ -1595,7 +1602,7 @@ DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
   std::vector<geometry_msgs::msg::Pose> obj_inner_bound_poses;
   for (size_t i = lon_bound_start_idx; i <= lon_bound_end_idx; ++i) {
     // NOTE: object.lat_offset_to_avoid->min_value is not the minimum value but the inner value.
-    obj_inner_bound_poses.push_back(tier4_autoware_utils::calcOffsetPose(
+    obj_inner_bound_poses.push_back(autoware::universe_utils::calcOffsetPose(
       ref_path_points_for_obj_poly.at(i).point.pose, 0.0, object.lat_offset_to_avoid->min_value,
       0.0));
   }
@@ -1611,18 +1618,18 @@ DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
     // Check if the object polygon intersects with the ego_lat_feasible_path.
     if (intersect_result) {
       const auto & [bound_seg_idx, intersect_point] = *intersect_result;
-      const double lon_offset = tier4_autoware_utils::calcDistance2d(
+      const double lon_offset = autoware::universe_utils::calcDistance2d(
         obj_inner_bound_poses.at(bound_seg_idx), intersect_point);
 
       const auto obj_inner_bound_start_idx_opt =
-        motion_utils::insertTargetPoint(bound_seg_idx, lon_offset, obj_inner_bound_poses);
+        autoware::motion_utils::insertTargetPoint(bound_seg_idx, lon_offset, obj_inner_bound_poses);
       if (obj_inner_bound_start_idx_opt) {
         return *obj_inner_bound_start_idx_opt;
       }
     }
 
     // Check if the object polygon is fully outside the ego_lat_feasible_path.
-    const double obj_poly_lat_offset = motion_utils::calcLateralOffset(
+    const double obj_poly_lat_offset = autoware::motion_utils::calcLateralOffset(
       ego_lat_feasible_path, obj_inner_bound_poses.front().position);
     if (
       (!object.is_collision_left && 0 < obj_poly_lat_offset) ||
@@ -1643,17 +1650,17 @@ DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
   std::vector<geometry_msgs::msg::Point> feasible_obj_outer_bound_points;
   for (const auto & feasible_obj_inner_bound_pose : feasible_obj_inner_bound_poses) {
     feasible_obj_outer_bound_points.push_back(
-      tier4_autoware_utils::calcOffsetPose(
+      autoware::universe_utils::calcOffsetPose(
         feasible_obj_inner_bound_pose, 0.0,
         object.lat_offset_to_avoid->max_value - object.lat_offset_to_avoid->min_value, 0.0)
         .position);
   }
 
   // create obj_polygon from inner/outer bound points
-  tier4_autoware_utils::Polygon2d obj_poly;
+  autoware::universe_utils::Polygon2d obj_poly;
   const auto add_points_to_obj_poly = [&](const auto & bound_points) {
     for (const auto & bound_point : bound_points) {
-      obj_poly.outer().push_back(tier4_autoware_utils::Point2d(bound_point.x, bound_point.y));
+      obj_poly.outer().push_back(autoware::universe_utils::Point2d(bound_point.x, bound_point.y));
     }
   };
   add_points_to_obj_poly(feasible_obj_inner_bound_points);
@@ -1665,7 +1672,7 @@ DynamicObstacleAvoidanceModule::calcEgoPathBasedDynamicObstaclePolygon(
 }
 
 // should be replace by the function calcPredictedPathBasedDynamicObstaclePolygon() (takagi)
-std::optional<tier4_autoware_utils::Polygon2d>
+std::optional<autoware::universe_utils::Polygon2d>
 DynamicObstacleAvoidanceModule::calcObjectPathBasedDynamicObstaclePolygon(
   const DynamicAvoidanceObject & object) const
 {
@@ -1676,7 +1683,7 @@ DynamicObstacleAvoidanceModule::calcObjectPathBasedDynamicObstaclePolygon(
   // calculate left and right bound
   std::vector<geometry_msgs::msg::Point> obj_left_bound_points;
   std::vector<geometry_msgs::msg::Point> obj_right_bound_points;
-  const double obj_path_length = motion_utils::calcArcLength(obj_path.path);
+  const double obj_path_length = autoware::motion_utils::calcArcLength(obj_path.path);
   for (size_t i = 0; i < obj_path.path.size(); ++i) {
     const double lon_offset = [&]() {
       if (i == 0)
@@ -1694,26 +1701,26 @@ DynamicObstacleAvoidanceModule::calcObjectPathBasedDynamicObstaclePolygon(
 
     const auto & obj_pose = obj_path.path.at(i);
     obj_left_bound_points.push_back(
-      tier4_autoware_utils::calcOffsetPose(
+      autoware::universe_utils::calcOffsetPose(
         obj_pose, lon_offset,
         object.shape.dimensions.y / 2.0 + parameters_->lat_offset_from_obstacle, 0.0)
         .position);
     obj_right_bound_points.push_back(
-      tier4_autoware_utils::calcOffsetPose(
+      autoware::universe_utils::calcOffsetPose(
         obj_pose, lon_offset,
         -object.shape.dimensions.y / 2.0 - parameters_->lat_offset_from_obstacle, 0.0)
         .position);
   }
 
   // create obj_polygon from inner/outer bound points
-  tier4_autoware_utils::Polygon2d obj_poly;
+  autoware::universe_utils::Polygon2d obj_poly;
   for (const auto & bound_point : obj_right_bound_points) {
-    const auto obj_poly_point = tier4_autoware_utils::Point2d(bound_point.x, bound_point.y);
+    const auto obj_poly_point = autoware::universe_utils::Point2d(bound_point.x, bound_point.y);
     obj_poly.outer().push_back(obj_poly_point);
   }
   std::reverse(obj_left_bound_points.begin(), obj_left_bound_points.end());
   for (const auto & bound_point : obj_left_bound_points) {
-    const auto obj_poly_point = tier4_autoware_utils::Point2d(bound_point.x, bound_point.y);
+    const auto obj_poly_point = autoware::universe_utils::Point2d(bound_point.x, bound_point.y);
     obj_poly.outer().push_back(obj_poly_point);
   }
 
@@ -1724,7 +1731,7 @@ DynamicObstacleAvoidanceModule::calcObjectPathBasedDynamicObstaclePolygon(
 // Calculate polygons according to predicted_path with certain confidence,
 // except for the area required for ego safety.
 // input: an object, the minimum area required for ego safety, and some global params
-std::optional<tier4_autoware_utils::Polygon2d>
+std::optional<autoware::universe_utils::Polygon2d>
 DynamicObstacleAvoidanceModule::calcPredictedPathBasedDynamicObstaclePolygon(
   const DynamicAvoidanceObject & object, const EgoPathReservePoly & ego_path_poly) const
 {
@@ -1740,10 +1747,10 @@ DynamicObstacleAvoidanceModule::calcPredictedPathBasedDynamicObstaclePolygon(
     }
   }
 
-  tier4_autoware_utils::Polygon2d obj_points_as_poly;
+  autoware::universe_utils::Polygon2d obj_points_as_poly;
   for (const auto pose : obj_poses) {
     boost::geometry::append(
-      obj_points_as_poly, tier4_autoware_utils::toFootprint(
+      obj_points_as_poly, autoware::universe_utils::toFootprint(
                             pose, object.shape.dimensions.x * 0.5, object.shape.dimensions.x * 0.5,
                             object.shape.dimensions.y * 0.5)
                             .outer());
@@ -1752,7 +1759,7 @@ DynamicObstacleAvoidanceModule::calcPredictedPathBasedDynamicObstaclePolygon(
   Polygon2d obj_poly;
   boost::geometry::convex_hull(obj_points_as_poly, obj_poly);
 
-  tier4_autoware_utils::MultiPolygon2d expanded_poly;
+  autoware::universe_utils::MultiPolygon2d expanded_poly;
   namespace strategy = boost::geometry::strategy::buffer;
   boost::geometry::buffer(
     obj_poly, expanded_poly,
@@ -1761,7 +1768,7 @@ DynamicObstacleAvoidanceModule::calcPredictedPathBasedDynamicObstaclePolygon(
     strategy::point_circle());
   if (expanded_poly.empty()) return {};
 
-  tier4_autoware_utils::MultiPolygon2d output_poly;
+  autoware::universe_utils::MultiPolygon2d output_poly;
   boost::geometry::difference(
     expanded_poly[0],
     object.is_collision_left ? ego_path_poly.right_avoid : ego_path_poly.left_avoid, output_poly);
@@ -1797,26 +1804,27 @@ DynamicObstacleAvoidanceModule::calcEgoPathReservePoly(const PathWithLaneId & eg
 
   assert(!ego_path.points.empty());
 
-  tier4_autoware_utils::LineString2d ego_path_lines;
+  autoware::universe_utils::LineString2d ego_path_lines;
   for (const auto & path_point : ego_path.points) {
-    ego_path_lines.push_back(tier4_autoware_utils::fromMsg(path_point.point.pose.position).to_2d());
+    ego_path_lines.push_back(
+      autoware::universe_utils::fromMsg(path_point.point.pose.position).to_2d());
   }
 
   auto calcReservePoly = [&ego_path_lines](
                            const strategy::distance_asymmetric<double> path_expand_strategy,
                            const strategy::distance_asymmetric<double> steer_expand_strategy,
                            const std::vector<geometry_msgs::msg::Point> & outer_body_path)
-    -> tier4_autoware_utils::Polygon2d {
+    -> autoware::universe_utils::Polygon2d {
     // reserve area based on the reference path
-    tier4_autoware_utils::MultiPolygon2d path_poly;
+    autoware::universe_utils::MultiPolygon2d path_poly;
     boost::geometry::buffer(
       ego_path_lines, path_poly, path_expand_strategy, strategy::side_straight(),
       strategy::join_round(), strategy::end_flat(), strategy::point_circle());
 
     // reserve area steer to the avoidance path
-    tier4_autoware_utils::LineString2d steer_lines;
+    autoware::universe_utils::LineString2d steer_lines;
     for (const auto & point : outer_body_path) {
-      const auto bg_point = tier4_autoware_utils::fromMsg(point).to_2d();
+      const auto bg_point = autoware::universe_utils::fromMsg(point).to_2d();
       if (boost::geometry::within(bg_point, path_poly)) {
         if (steer_lines.size() != 0) {
           ;
@@ -1826,12 +1834,12 @@ DynamicObstacleAvoidanceModule::calcEgoPathReservePoly(const PathWithLaneId & eg
       }
       // boost::geometry::append(steer_lines, bg_point);
     }
-    tier4_autoware_utils::MultiPolygon2d steer_poly;
+    autoware::universe_utils::MultiPolygon2d steer_poly;
     boost::geometry::buffer(
       steer_lines, steer_poly, steer_expand_strategy, strategy::side_straight(),
       strategy::join_round(), strategy::end_flat(), strategy::point_circle());
 
-    tier4_autoware_utils::MultiPolygon2d output_poly;
+    autoware::universe_utils::MultiPolygon2d output_poly;
     boost::geometry::union_(path_poly, steer_poly, output_poly);
     if (output_poly.size() != 1) {
       assert(false);
@@ -1845,11 +1853,11 @@ DynamicObstacleAvoidanceModule::calcEgoPathReservePoly(const PathWithLaneId & eg
   const double vehicle_half_width = planner_data_->parameters.vehicle_width * 0.5;
   const double reserve_width_obj_side = vehicle_half_width - parameters_->max_lat_offset_to_avoid;
 
-  const tier4_autoware_utils::Polygon2d left_avoid_poly = calcReservePoly(
+  const autoware::universe_utils::Polygon2d left_avoid_poly = calcReservePoly(
     strategy::distance_asymmetric<double>(vehicle_half_width, reserve_width_obj_side),
     strategy::distance_asymmetric<double>(vehicle_half_width, 0.0),
     motion_saturated_outer_paths.right_path);
-  const tier4_autoware_utils::Polygon2d right_avoid_poly = calcReservePoly(
+  const autoware::universe_utils::Polygon2d right_avoid_poly = calcReservePoly(
     strategy::distance_asymmetric<double>(reserve_width_obj_side, vehicle_half_width),
     strategy::distance_asymmetric<double>(0.0, vehicle_half_width),
     motion_saturated_outer_paths.left_path);
diff --git a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
index 611a796507f44..fc0fac5ff7b9d 100644
--- a/planning/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_external_request_lane_change_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_path_external_request_lane_change_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/package.xml
index b794789bd19e0..41db5ade58a74 100644
--- a/planning/autoware_behavior_path_external_request_lane_change_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/package.xml
@@ -21,11 +21,11 @@
   <depend>autoware_behavior_path_lane_change_module</depend>
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_rtc_interface</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_external_request_lane_change_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/plugins.xml
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp
similarity index 96%
rename from planning/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp
index 904fbc1f0c4ae..c04914ed1c72b 100644
--- a/planning/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.cpp
@@ -14,7 +14,7 @@
 
 #include "manager.hpp"
 
-#include "autoware_behavior_path_lane_change_module/interface.hpp"
+#include "autoware/behavior_path_lane_change_module/interface.hpp"
 #include "scene.hpp"
 
 namespace autoware::behavior_path_planner
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp
similarity index 93%
rename from planning/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp
index 7cfce807cd663..5ec8b632adb92 100644
--- a/planning/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/manager.hpp
@@ -15,8 +15,8 @@
 #ifndef MANAGER_HPP_
 #define MANAGER_HPP_
 
-#include "autoware_behavior_path_lane_change_module/manager.hpp"
-#include "autoware_route_handler/route_handler.hpp"
+#include "autoware/behavior_path_lane_change_module/manager.hpp"
+#include "autoware/route_handler/route_handler.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/scene.cpp
similarity index 100%
rename from planning/autoware_behavior_path_external_request_lane_change_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/scene.cpp
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp
similarity index 95%
rename from planning/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp
index bc26688865798..4725635048788 100644
--- a/planning/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/src/scene.hpp
@@ -15,7 +15,7 @@
 #ifndef SCENE_HPP_
 #define SCENE_HPP_
 
-#include "autoware_behavior_path_lane_change_module/scene.hpp"
+#include "autoware/behavior_path_lane_change_module/scene.hpp"
 
 #include <memory>
 
diff --git a/planning/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
index 12db2d1115efc..4a5fb562eb140 100644
--- a/planning/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_external_request_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
@@ -13,7 +13,7 @@
 // limitations under the License.
 
 #include "ament_index_cpp/get_package_share_directory.hpp"
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 #include "autoware_planning_test_manager/autoware_planning_test_manager.hpp"
 #include "autoware_test_utils/autoware_test_utils.hpp"
 
diff --git a/planning/autoware_behavior_path_goal_planner_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_goal_planner_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/README.md
diff --git a/planning/autoware_behavior_path_goal_planner_module/config/goal_planner.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/config/goal_planner.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/config/goal_planner.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/config/goal_planner.param.yaml
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/arc_backward_parking.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/arc_backward_parking.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/arc_backward_parking.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/arc_backward_parking.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/arc_forward_parking.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/arc_forward_parking.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/arc_forward_parking.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/arc_forward_parking.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-collision_check_margin.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-collision_check_margin.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-collision_check_margin.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-collision_check_margin.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-deciding_path.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-deciding_path.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-deciding_path.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-deciding_path.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_candidates.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_candidates.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_candidates.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_candidates.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_distance.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_distance.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_distance.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-goal_distance.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-is_safe.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-is_safe.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-is_safe.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-is_safe.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-longitudinal_margin.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-longitudinal_margin.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-longitudinal_margin.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-longitudinal_margin.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-object_to_avoid.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-object_to_avoid.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-object_to_avoid.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-object_to_avoid.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-refined_goal.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-refined_goal.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-refined_goal.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-refined_goal.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-safety_check.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-safety_check.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-safety_check.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-safety_check.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_planner-threads.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-threads.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_planner-threads.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_planner-threads.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_priority_object_to_avoid_rviz.png b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_object_to_avoid_rviz.png
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_priority_object_to_avoid_rviz.png
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_object_to_avoid_rviz.png
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_priority_rviz.png b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_rviz.png
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_priority_rviz.png
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_rviz.png
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/goal_priority_with_goal.png b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_with_goal.png
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/goal_priority_with_goal.png
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/goal_priority_with_goal.png
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/path_goal_refinement.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/path_goal_refinement.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/path_goal_refinement.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/path_goal_refinement.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/pull_over_freespace_parking_flowchart.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/pull_over_freespace_parking_flowchart.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/pull_over_freespace_parking_flowchart.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/pull_over_freespace_parking_flowchart.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/images/shift_parking.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/shift_parking.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/images/shift_parking.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/images/shift_parking.drawio.svg
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/default_fixed_goal_planner.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/default_fixed_goal_planner.hpp
similarity index 81%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/default_fixed_goal_planner.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/default_fixed_goal_planner.hpp
index 44604084ef480..3b57ab67b265d 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/default_fixed_goal_planner.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/default_fixed_goal_planner.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/fixed_goal_planner_base.hpp"
+#include "autoware/behavior_path_goal_planner_module/fixed_goal_planner_base.hpp"
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -42,4 +42,4 @@ class DefaultFixedGoalPlanner : public FixedGoalPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__DEFAULT_FIXED_GOAL_PLANNER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/fixed_goal_planner_base.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/fixed_goal_planner_base.hpp
similarity index 79%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/fixed_goal_planner_base.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/fixed_goal_planner_base.hpp
index 2a14bfaf72118..f670e3b05fa77 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/fixed_goal_planner_base.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/fixed_goal_planner_base.hpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
 #include <memory>
 
+using autoware::universe_utils::LinearRing2d;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::LinearRing2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 namespace autoware::behavior_path_planner
@@ -50,4 +50,4 @@ class FixedGoalPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FIXED_GOAL_PLANNER_BASE_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/freespace_pull_over.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/freespace_pull_over.hpp
similarity index 75%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/freespace_pull_over.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/freespace_pull_over.hpp
index f5e5df05474cd..bb968fe10cba2 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/freespace_pull_over.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/freespace_pull_over.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp"
+#include "autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp"
 
-#include <autoware_freespace_planning_algorithms/abstract_algorithm.hpp>
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/freespace_planning_algorithms/abstract_algorithm.hpp>
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -51,4 +51,4 @@ class FreespacePullOver : public PullOverPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__FREESPACE_PULL_OVER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/geometric_pull_over.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/geometric_pull_over.hpp
similarity index 84%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/geometric_pull_over.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/geometric_pull_over.hpp
index 3d72c3089bd77..589379167b80c 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/geometric_pull_over.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/geometric_pull_over.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -65,4 +65,4 @@ class GeometricPullOver : public PullOverPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GEOMETRIC_PULL_OVER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_module.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_module.hpp
similarity index 94%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_module.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_module.hpp
index 4ecb11ec25776..e34cd202011d0 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_module.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_module.hpp
@@ -12,27 +12,27 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
-
-#include "autoware_behavior_path_goal_planner_module/default_fixed_goal_planner.hpp"
-#include "autoware_behavior_path_goal_planner_module/freespace_pull_over.hpp"
-#include "autoware_behavior_path_goal_planner_module/geometric_pull_over.hpp"
-#include "autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp"
-#include "autoware_behavior_path_goal_planner_module/goal_searcher.hpp"
-#include "autoware_behavior_path_goal_planner_module/shift_pull_over.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
-#include <motion_utils/distance/distance.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
+
+#include "autoware/behavior_path_goal_planner_module/default_fixed_goal_planner.hpp"
+#include "autoware/behavior_path_goal_planner_module/freespace_pull_over.hpp"
+#include "autoware/behavior_path_goal_planner_module/geometric_pull_over.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_searcher.hpp"
+#include "autoware/behavior_path_goal_planner_module/shift_pull_over.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_vehicle_msgs/msg/hazard_lights_command.hpp>
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
@@ -69,7 +69,7 @@ using autoware::behavior_path_planner::utils::path_safety_checker::ObjectsFilter
 using autoware::behavior_path_planner::utils::path_safety_checker::PoseWithVelocityStamped;
 using autoware::behavior_path_planner::utils::path_safety_checker::SafetyCheckParams;
 using autoware::behavior_path_planner::utils::path_safety_checker::TargetObjectsOnLane;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::Polygon2d;
 
 #define DEFINE_SETTER_WITH_MUTEX(TYPE, NAME)                  \
 public:                                                       \
@@ -387,7 +387,7 @@ class GoalPlannerModule : public SceneModuleInterface
     std::shared_ptr<EgoPredictedPathParams> ego_predicted_path_params;
     std::shared_ptr<ObjectsFilteringParams> objects_filtering_params;
     std::shared_ptr<SafetyCheckParams> safety_check_params;
-    tier4_autoware_utils::LinearRing2d vehicle_footprint;
+    autoware::universe_utils::LinearRing2d vehicle_footprint;
 
     PlannerData planner_data;
     ModuleStatus current_status;
@@ -409,7 +409,7 @@ class GoalPlannerModule : public SceneModuleInterface
       const PlannerData & planner_data, const ModuleStatus & current_status,
       const BehaviorModuleOutput & previous_module_output,
       const std::shared_ptr<GoalSearcherBase> goal_searcher_,
-      const tier4_autoware_utils::LinearRing2d & vehicle_footprint);
+      const autoware::universe_utils::LinearRing2d & vehicle_footprint);
 
   private:
     void initializeOccupancyGridMap(
@@ -484,7 +484,7 @@ class GoalPlannerModule : public SceneModuleInterface
   std::deque<nav_msgs::msg::Odometry::ConstSharedPtr> odometry_buffer_stopped_;
   std::deque<nav_msgs::msg::Odometry::ConstSharedPtr> odometry_buffer_stuck_;
 
-  tier4_autoware_utils::LinearRing2d vehicle_footprint_;
+  autoware::universe_utils::LinearRing2d vehicle_footprint_;
 
   std::recursive_mutex mutex_;
   // TODO(Mamoru Sobue): isSafePath() modifies ThreadSafeData::check_collision, avoid this mutable
@@ -668,4 +668,4 @@ class GoalPlannerModule : public SceneModuleInterface
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_MODULE_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp
similarity index 88%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp
index 7ecd7063d623e..bdb267ce223d3 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp
@@ -13,15 +13,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
-#include <autoware_freespace_planning_algorithms/abstract_algorithm.hpp>
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/freespace_planning_algorithms/abstract_algorithm.hpp>
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
 
 #include <string>
 #include <vector>
@@ -128,4 +128,4 @@ struct GoalPlannerParameters
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_PLANNER_PARAMETERS_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher.hpp
similarity index 88%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher.hpp
index 5897207a3b357..5d056add4665e 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher.hpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/goal_searcher_base.hpp"
-#include "autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_searcher_base.hpp"
+#include "autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
 
 #include <memory>
 #include <vector>
 
 namespace autoware::behavior_path_planner
 {
-using tier4_autoware_utils::LinearRing2d;
+using autoware::universe_utils::LinearRing2d;
 using BasicPolygons2d = std::vector<lanelet::BasicPolygon2d>;
 
 class GoalSearcher : public GoalSearcherBase
@@ -72,4 +72,4 @@ class GoalSearcher : public GoalSearcherBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher_base.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher_base.hpp
similarity index 84%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher_base.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher_base.hpp
index 984374ae166c5..baead4c229efd 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/goal_searcher_base.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/goal_searcher_base.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp"
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 
@@ -26,8 +26,8 @@
 
 namespace autoware::behavior_path_planner
 {
+using autoware::universe_utils::MultiPolygon2d;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::MultiPolygon2d;
 
 struct GoalCandidate
 {
@@ -78,4 +78,4 @@ class GoalSearcherBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__GOAL_SEARCHER_BASE_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/manager.hpp
similarity index 83%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/manager.hpp
index 291fbab7cafc3..32d816d9a37e8 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/manager.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/goal_planner_module.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_planner_module.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -55,4 +55,4 @@ class GoalPlannerModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp
similarity index 85%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp
index 7a27b2f43b4b3..d2ba416c7fa90 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/goal_planner_parameters.hpp"
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_planner_parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
@@ -25,8 +25,8 @@
 #include <utility>
 #include <vector>
 
+using autoware::universe_utils::LinearRing2d;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::LinearRing2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 namespace autoware::behavior_path_planner
@@ -67,7 +67,7 @@ struct PullOverPath
           partial_paths.at(i).points.end());
       }
     }
-    path.points = motion_utils::removeOverlapPoints(path.points);
+    path.points = autoware::motion_utils::removeOverlapPoints(path.points);
 
     return path;
   }
@@ -75,7 +75,8 @@ struct PullOverPath
   PathWithLaneId getParkingPath() const
   {
     const PathWithLaneId full_path = getFullPath();
-    const size_t start_idx = motion_utils::findNearestIndex(full_path.points, start_pose.position);
+    const size_t start_idx =
+      autoware::motion_utils::findNearestIndex(full_path.points, start_pose.position);
 
     PathWithLaneId parking_path{};
     std::copy(
@@ -141,4 +142,4 @@ class PullOverPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__PULL_OVER_PLANNER_BASE_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/shift_pull_over.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/shift_pull_over.hpp
similarity index 86%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/shift_pull_over.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/shift_pull_over.hpp
index 2296875e1d8d6..15b8d7ac81fae 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/shift_pull_over.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/shift_pull_over.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/pull_over_planner_base.hpp"
+#include "autoware/behavior_path_goal_planner_module/pull_over_planner_base.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -59,4 +59,4 @@ class ShiftPullOver : public PullOverPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__SHIFT_PULL_OVER_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/util.hpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/util.hpp
similarity index 88%
rename from planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/util.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/util.hpp
index 78e23b979094c..98a513d519b43 100644
--- a/planning/autoware_behavior_path_goal_planner_module/include/autoware_behavior_path_goal_planner_module/util.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/include/autoware/behavior_path_goal_planner_module/util.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
 
-#include "autoware_behavior_path_goal_planner_module/goal_searcher_base.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_searcher_base.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include "visualization_msgs/msg/detail/marker_array__struct.hpp"
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -42,7 +42,7 @@ using geometry_msgs::msg::Twist;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
-using Polygon2d = tier4_autoware_utils::Polygon2d;
+using Polygon2d = autoware::universe_utils::Polygon2d;
 
 lanelet::ConstLanelets getPullOverLanes(
   const RouteHandler & route_handler, const bool left_side, const double backward_distance,
@@ -94,8 +94,8 @@ std::vector<Polygon2d> createPathFootPrints(
 
 // debug
 MarkerArray createPullOverAreaMarkerArray(
-  const tier4_autoware_utils::MultiPolygon2d area_polygons, const std_msgs::msg::Header & header,
-  const std_msgs::msg::ColorRGBA & color, const double z);
+  const autoware::universe_utils::MultiPolygon2d area_polygons,
+  const std_msgs::msg::Header & header, const std_msgs::msg::ColorRGBA & color, const double z);
 MarkerArray createPosesMarkerArray(
   const std::vector<Pose> & poses, std::string && ns, const std_msgs::msg::ColorRGBA & color);
 MarkerArray createTextsMarkerArray(
@@ -110,4 +110,4 @@ MarkerArray createNumObjectsToAvoidTextsMarkerArray(
   const std_msgs::msg::ColorRGBA & color);
 }  // namespace autoware::behavior_path_planner::goal_planner_utils
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_GOAL_PLANNER_MODULE__UTIL_HPP_
diff --git a/planning/autoware_behavior_path_goal_planner_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_path_goal_planner_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/package.xml
index 952173564888a..2f107c5644f2e 100644
--- a/planning/autoware_behavior_path_goal_planner_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/package.xml
@@ -22,11 +22,11 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_rtc_interface</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_goal_planner_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_goal_planner_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/plugins.xml
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp
similarity index 92%
rename from planning/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp
index 48fc8d519161c..10e0137978bd6 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/default_fixed_goal_planner.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/default_fixed_goal_planner.hpp"
+#include "autoware/behavior_path_goal_planner_module/default_fixed_goal_planner.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
@@ -25,7 +25,7 @@
 
 namespace autoware::behavior_path_planner
 {
-using Point2d = tier4_autoware_utils::Point2d;
+using Point2d = autoware::universe_utils::Point2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 BehaviorModuleOutput DefaultFixedGoalPlanner::plan(
   const std::shared_ptr<const PlannerData> & planner_data) const
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp
similarity index 88%
rename from planning/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp
index 15f17668e5e2b..ee35790ee2ab1 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/freespace_pull_over.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/freespace_pull_over.hpp"
+#include "autoware/behavior_path_goal_planner_module/freespace_pull_over.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
 #include <memory>
 #include <vector>
@@ -57,7 +57,7 @@ std::optional<PullOverPath> FreespacePullOver::plan(const Pose & goal_pose)
   constexpr double straight_distance = 1.0;
   const Pose end_pose =
     use_back_ ? goal_pose
-              : tier4_autoware_utils::calcOffsetPose(goal_pose, -straight_distance, 0.0, 0.0);
+              : autoware::universe_utils::calcOffsetPose(goal_pose, -straight_distance, 0.0, 0.0);
   if (!planner_->makePlan(current_pose, end_pose)) {
     return {};
   }
@@ -85,7 +85,7 @@ std::optional<PullOverPath> FreespacePullOver::plan(const Pose & goal_pose)
     size_t index = std::distance(last_path.points.begin(), it);
     if (index == 0) continue;
     const double distance =
-      tier4_autoware_utils::calcDistance2d(end_pose.position, it->point.pose.position);
+      autoware::universe_utils::calcDistance2d(end_pose.position, it->point.pose.position);
     if (distance < th_goal_distance) {
       last_path.points.erase(it, last_path.points.end());
       break;
@@ -123,7 +123,7 @@ std::optional<PullOverPath> FreespacePullOver::plan(const Pose & goal_pose)
 
   // Check if driving forward for each path, return empty if not
   for (auto & path : partial_paths) {
-    if (!motion_utils::isDrivingForward(path.points)) {
+    if (!autoware::motion_utils::isDrivingForward(path.points)) {
       return {};
     }
   }
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp
similarity index 94%
rename from planning/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp
index 1ff47142dadb1..50cb090ca04d8 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/geometric_pull_over.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/geometric_pull_over.hpp"
+#include "autoware/behavior_path_goal_planner_module/geometric_pull_over.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
 
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp
similarity index 95%
rename from planning/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp
index 9532def19029d..2ac0b9493e67a 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_planner_module.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/goal_planner_module.hpp"
-
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_planner_module.hpp"
+
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
@@ -40,15 +40,15 @@
 #include <vector>
 
 using autoware::behavior_path_planner::utils::parking_departure::calcFeasibleDecelDistance;
-using motion_utils::calcLongitudinalOffsetPose;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
-using motion_utils::insertDecelPoint;
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
+using autoware::motion_utils::insertDecelPoint;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::inverseTransformPose;
 using nav_msgs::msg::OccupancyGrid;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::inverseTransformPose;
 
 namespace autoware::behavior_path_planner
 {
@@ -133,12 +133,35 @@ bool GoalPlannerModule::hasPreviousModulePathShapeChanged(
     return true;
   }
 
-  const auto current_path = previous_module_output.path;
-
-  // the terminal distance is far
-  return calcDistance2d(
-           last_previous_module_output->path.points.back().point,
-           current_path.points.back().point) > 0.3;
+  // Calculate the lateral distance between each point of the current path and the nearest point of
+  // the last path
+  constexpr double LATERAL_DEVIATION_THRESH = 0.3;
+  for (const auto & p : previous_module_output.path.points) {
+    const size_t nearest_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
+      last_previous_module_output->path.points, p.point.pose.position);
+    const auto seg_front = last_previous_module_output->path.points.at(nearest_seg_idx);
+    const auto seg_back = last_previous_module_output->path.points.at(nearest_seg_idx + 1);
+    // Check if the target point is within the segment
+    const Eigen::Vector3d segment_vec{
+      seg_back.point.pose.position.x - seg_front.point.pose.position.x,
+      seg_back.point.pose.position.y - seg_front.point.pose.position.y, 0.0};
+    const Eigen::Vector3d target_vec{
+      p.point.pose.position.x - seg_front.point.pose.position.x,
+      p.point.pose.position.y - seg_front.point.pose.position.y, 0.0};
+    const double dot_product = segment_vec.x() * target_vec.x() + segment_vec.y() * target_vec.y();
+    const double segment_length_squared =
+      segment_vec.x() * segment_vec.x() + segment_vec.y() * segment_vec.y();
+    if (dot_product < 0 || dot_product > segment_length_squared) {
+      // p.point.pose.position is not within the segment, skip lateral distance check
+      continue;
+    }
+    const double lateral_distance = std::abs(autoware::motion_utils::calcLateralOffset(
+      last_previous_module_output->path.points, p.point.pose.position, nearest_seg_idx));
+    if (lateral_distance > LATERAL_DEVIATION_THRESH) {
+      return true;
+    }
+  }
+  return false;
 }
 
 bool GoalPlannerModule::hasDeviatedFromLastPreviousModulePath(
@@ -148,7 +171,7 @@ bool GoalPlannerModule::hasDeviatedFromLastPreviousModulePath(
   if (!last_previous_module_output) {
     return true;
   }
-  return std::abs(motion_utils::calcLateralOffset(
+  return std::abs(autoware::motion_utils::calcLateralOffset(
            last_previous_module_output->path.points,
            planner_data->self_odometry->pose.pose.position)) > 0.3;
 }
@@ -157,9 +180,10 @@ bool GoalPlannerModule::hasDeviatedFromCurrentPreviousModulePath(
   const std::shared_ptr<const PlannerData> planner_data,
   const BehaviorModuleOutput & previous_module_output) const
 {
-  return std::abs(motion_utils::calcLateralOffset(
+  constexpr double LATERAL_DEVIATION_THRESH = 0.3;
+  return std::abs(autoware::motion_utils::calcLateralOffset(
            previous_module_output.path.points, planner_data->self_odometry->pose.pose.position)) >
-         0.3;
+         LATERAL_DEVIATION_THRESH;
 }
 
 // generate pull over candidate paths
@@ -746,7 +770,7 @@ bool GoalPlannerModule::canReturnToLaneParking()
   const Point & current_point = planner_data_->self_odometry->pose.pose.position;
   constexpr double th_distance = 0.5;
   const bool is_close_to_path =
-    std::abs(motion_utils::calcLateralOffset(path.points, current_point)) < th_distance;
+    std::abs(autoware::motion_utils::calcLateralOffset(path.points, current_point)) < th_distance;
   if (!is_close_to_path) {
     return false;
   }
@@ -1242,10 +1266,10 @@ DecidingPathStatusWithStamp GoalPlannerModule::checkDecidingPathStatus(
   // if ego is sufficiently close to the start of the nearest candidate path, the path is decided
   const auto & current_pose = planner_data->self_odometry->pose.pose;
   const size_t ego_segment_idx =
-    motion_utils::findNearestSegmentIndex(current_path.points, current_pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(current_path.points, current_pose.position);
 
-  const size_t start_pose_segment_idx =
-    motion_utils::findNearestSegmentIndex(current_path.points, pull_over_path->start_pose.position);
+  const size_t start_pose_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
+    current_path.points, pull_over_path->start_pose.position);
   const double dist_to_parking_start_pose = calcSignedArcLength(
     current_path.points, current_pose.position, ego_segment_idx,
     pull_over_path->start_pose.position, start_pose_segment_idx);
@@ -1476,19 +1500,19 @@ std::pair<double, double> GoalPlannerModule::calcDistanceToPathChange() const
 
   const auto full_path = thread_safe_data_.get_pull_over_path()->getFullPath();
 
-  const auto ego_segment_idx = motion_utils::findNearestSegmentIndex(
+  const auto ego_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
     full_path.points, planner_data_->self_odometry->pose.pose, std::numeric_limits<double>::max(),
     M_PI_2);
   if (!ego_segment_idx) {
     return {std::numeric_limits<double>::max(), std::numeric_limits<double>::max()};
   }
 
-  const size_t start_pose_segment_idx = motion_utils::findNearestSegmentIndex(
+  const size_t start_pose_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
     full_path.points, thread_safe_data_.get_pull_over_path()->start_pose.position);
   const double dist_to_parking_start_pose = calcSignedArcLength(
     full_path.points, planner_data_->self_odometry->pose.pose.position, *ego_segment_idx,
     thread_safe_data_.get_pull_over_path()->start_pose.position, start_pose_segment_idx);
-  const size_t goal_pose_segment_idx = motion_utils::findNearestSegmentIndex(
+  const size_t goal_pose_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
     full_path.points, thread_safe_data_.get_modified_goal_pose()->goal_pose.position);
   const double dist_to_parking_finish_pose = calcSignedArcLength(
     full_path.points, planner_data_->self_odometry->pose.pose.position, *ego_segment_idx,
@@ -1622,7 +1646,7 @@ PathWithLaneId GoalPlannerModule::generateFeasibleStopPath(const PathWithLaneId
   auto stop_path = path;
   const auto & current_pose = planner_data_->self_odometry->pose.pose;
   const auto stop_idx =
-    motion_utils::insertStopPoint(current_pose, *min_stop_distance, stop_path.points);
+    autoware::motion_utils::insertStopPoint(current_pose, *min_stop_distance, stop_path.points);
   if (stop_idx) {
     debug_stop_pose_with_info_.set(stop_path.points.at(*stop_idx).point.pose, "feasible stop");
   }
@@ -1740,7 +1764,7 @@ bool GoalPlannerModule::hasFinishedCurrentPath()
   const auto current_path_end =
     thread_safe_data_.get_pull_over_path()->getCurrentPath().points.back();
   const auto & self_pose = planner_data_->self_odometry->pose.pose;
-  return tier4_autoware_utils::calcDistance2d(current_path_end, self_pose) <
+  return autoware::universe_utils::calcDistance2d(current_path_end, self_pose) <
          parameters_->th_arrived_distance;
 }
 
@@ -1764,8 +1788,10 @@ TurnSignalInfo GoalPlannerModule::calcTurnSignalInfo()
   const auto & start_pose = thread_safe_data_.get_pull_over_path()->start_pose;
   const auto & end_pose = thread_safe_data_.get_pull_over_path()->end_pose;
 
-  const auto shift_start_idx = motion_utils::findNearestIndex(path.points, start_pose.position);
-  const auto shift_end_idx = motion_utils::findNearestIndex(path.points, end_pose.position);
+  const auto shift_start_idx =
+    autoware::motion_utils::findNearestIndex(path.points, start_pose.position);
+  const auto shift_end_idx =
+    autoware::motion_utils::findNearestIndex(path.points, end_pose.position);
 
   const auto is_ignore_signal = [this](const lanelet::Id & id) {
     if (!ignore_signal_.has_value()) {
@@ -1808,8 +1834,9 @@ TurnSignalInfo GoalPlannerModule::calcTurnSignalInfo()
     constexpr double distance_threshold = 1.0;
     const auto stop_point =
       thread_safe_data_.get_pull_over_path()->partial_paths.front().points.back();
-    const double distance_from_ego_to_stop_point = std::abs(motion_utils::calcSignedArcLength(
-      path.points, stop_point.point.pose.position, current_pose.position));
+    const double distance_from_ego_to_stop_point =
+      std::abs(autoware::motion_utils::calcSignedArcLength(
+        path.points, stop_point.point.pose.position, current_pose.position));
     return distance_from_ego_to_stop_point < distance_threshold;
   });
 
@@ -1853,7 +1880,7 @@ bool GoalPlannerModule::checkObjectsCollision(
 
   std::vector<Polygon2d> obj_polygons;
   for (const auto & object : target_objects.objects) {
-    obj_polygons.push_back(tier4_autoware_utils::toPolygon2d(object));
+    obj_polygons.push_back(autoware::universe_utils::toPolygon2d(object));
   }
 
   /* Expand ego collision check polygon
@@ -1862,7 +1889,7 @@ bool GoalPlannerModule::checkObjectsCollision(
    *   - `extra_lateral_margin` adds the lateral margin on curves.
    */
   std::vector<Polygon2d> ego_polygons_expanded{};
-  const auto curvatures = motion_utils::calcCurvature(path.points);
+  const auto curvatures = autoware::motion_utils::calcCurvature(path.points);
   for (size_t i = 0; i < path.points.size(); ++i) {
     const auto p = path.points.at(i);
 
@@ -1877,7 +1904,7 @@ bool GoalPlannerModule::checkObjectsCollision(
       extra_stopping_margin,
       std::abs(curvatures.at(i) * std::pow(p.point.longitudinal_velocity_mps, 2)));
 
-    const auto ego_polygon = tier4_autoware_utils::toFootprint(
+    const auto ego_polygon = autoware::universe_utils::toFootprint(
       p.point.pose,
       planner_data->parameters.base_link2front + collision_check_margin + extra_stopping_margin,
       planner_data->parameters.base_link2rear + collision_check_margin,
@@ -2175,7 +2202,7 @@ static std::vector<utils::path_safety_checker::ExtendedPredictedObject> filterOb
   for (const auto & target_lane : target_lanes) {
     const auto lane_poly = target_lane.polygon2d().basicPolygon();
     for (const auto & filtered_object : filtered_objects.objects) {
-      const auto object_bbox = tier4_autoware_utils::toPolygon2d(filtered_object);
+      const auto object_bbox = autoware::universe_utils::toPolygon2d(filtered_object);
       if (boost::geometry::within(object_bbox, lane_poly)) {
         within_filtered_objects.push_back(filtered_object);
       }
@@ -2258,7 +2285,7 @@ std::pair<bool, bool> GoalPlannerModule::isSafePath(
       lanelet::utils::conversion::toGeomMsgPt(fist_road_lane.centerline().front());
     const double lane_yaw = lanelet::utils::getLaneletAngle(fist_road_lane, first_road_point);
     first_road_pose.position = first_road_point;
-    first_road_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(lane_yaw);
+    first_road_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(lane_yaw);
     // if current ego pose is before pull over lanes segment, use first road lanelet center pose
     if (
       calcSignedArcLength(pull_over_path.points, first_road_pose.position, current_pose.position) <
@@ -2335,6 +2362,10 @@ void GoalPlannerModule::setDebugData()
 {
   debug_marker_.markers.clear();
 
+  using autoware::motion_utils::createStopVirtualWallMarker;
+  using autoware::universe_utils::createDefaultMarker;
+  using autoware::universe_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerScale;
   using marker_utils::createObjectsMarkerArray;
   using marker_utils::createPathMarkerArray;
   using marker_utils::createPoseMarkerArray;
@@ -2342,10 +2373,6 @@ void GoalPlannerModule::setDebugData()
   using marker_utils::showPolygon;
   using marker_utils::showPredictedPath;
   using marker_utils::showSafetyCheckInfo;
-  using motion_utils::createStopVirtualWallMarker;
-  using tier4_autoware_utils::createDefaultMarker;
-  using tier4_autoware_utils::createMarkerColor;
-  using tier4_autoware_utils::createMarkerScale;
 
   const auto header = planner_data_->route_handler->getRouteHeader();
 
@@ -2353,7 +2380,7 @@ void GoalPlannerModule::setDebugData()
     for (auto & marker : added.markers) {
       marker.lifetime = rclcpp::Duration::from_seconds(1.5);
     }
-    tier4_autoware_utils::appendMarkerArray(added, &debug_marker_);
+    autoware::universe_utils::appendMarkerArray(added, &debug_marker_);
   };
   if (utils::isAllowedGoalModification(planner_data_->route_handler)) {
     // Visualize pull over areas
@@ -2401,10 +2428,10 @@ void GoalPlannerModule::setDebugData()
         createPathMarkerArray(partial_path, "partial_path_" + std::to_string(i), 0, 0.9, 0.5, 0.9));
     }
 
-    auto marker = tier4_autoware_utils::createDefaultMarker(
+    auto marker = autoware::universe_utils::createDefaultMarker(
       "map", rclcpp::Clock{RCL_ROS_TIME}.now(), "detection_polygons", 0, Marker::LINE_LIST,
-      tier4_autoware_utils::createMarkerScale(0.01, 0.0, 0.0),
-      tier4_autoware_utils::createMarkerColor(0.0, 0.0, 1.0, 0.999));
+      autoware::universe_utils::createMarkerScale(0.01, 0.0, 0.0),
+      autoware::universe_utils::createMarkerColor(0.0, 0.0, 1.0, 0.999));
     const double ego_z = planner_data_->self_odometry->pose.pose.position.z;
     for (const auto & ego_polygon : debug_data_.ego_polygons_expanded) {
       for (size_t ep_idx = 0; ep_idx < ego_polygon.outer().size(); ++ep_idx) {
@@ -2412,19 +2439,19 @@ void GoalPlannerModule::setDebugData()
         const auto & next_point = ego_polygon.outer().at((ep_idx + 1) % ego_polygon.outer().size());
 
         marker.points.push_back(
-          tier4_autoware_utils::createPoint(current_point.x(), current_point.y(), ego_z));
+          autoware::universe_utils::createPoint(current_point.x(), current_point.y(), ego_z));
         marker.points.push_back(
-          tier4_autoware_utils::createPoint(next_point.x(), next_point.y(), ego_z));
+          autoware::universe_utils::createPoint(next_point.x(), next_point.y(), ego_z));
       }
     }
     debug_marker_.markers.push_back(marker);
 
     if (parameters_->safety_check_params.enable_safety_check) {
-      tier4_autoware_utils::appendMarkerArray(
+      autoware::universe_utils::appendMarkerArray(
         goal_planner_utils::createLaneletPolygonMarkerArray(
           debug_data_.expanded_pull_over_lane_between_ego.polygon3d(), header,
           "expanded_pull_over_lane_between_ego",
-          tier4_autoware_utils::createMarkerColor(1.0, 0.7, 0.0, 0.999)),
+          autoware::universe_utils::createMarkerColor(1.0, 0.7, 0.0, 0.999)),
         &debug_marker_);
     }
 
@@ -2551,7 +2578,7 @@ void GoalPlannerModule::printParkingPositionError() const
     real_shoulder_to_map_shoulder + parameters_->margin_from_boundary - dy;
   RCLCPP_INFO(
     getLogger(), "current pose to goal, dx:%f dy:%f dyaw:%f from_real_shoulder:%f", dx, dy,
-    tier4_autoware_utils::rad2deg(
+    autoware::universe_utils::rad2deg(
       tf2::getYaw(current_pose.orientation) -
       tf2::getYaw(thread_safe_data_.get_modified_goal_pose()->goal_pose.orientation)),
     distance_from_real_shoulder);
@@ -2607,7 +2634,7 @@ void GoalPlannerModule::GoalPlannerData::update(
   const PlannerData & planner_data_, const ModuleStatus & current_status_,
   const BehaviorModuleOutput & previous_module_output_,
   const std::shared_ptr<GoalSearcherBase> goal_searcher_,
-  const tier4_autoware_utils::LinearRing2d & vehicle_footprint_)
+  const autoware::universe_utils::LinearRing2d & vehicle_footprint_)
 {
   parameters = parameters_;
   ego_predicted_path_params = ego_predicted_path_params_;
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp
similarity index 95%
rename from planning/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp
index c268431b63836..04ee5278912ac 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/goal_searcher.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/goal_searcher.hpp"
+#include "autoware/behavior_path_goal_planner_module/goal_searcher.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 #include "lanelet2_extension/regulatory_elements/no_parking_area.hpp"
 #include "lanelet2_extension/regulatory_elements/no_stopping_area.hpp"
 #include "lanelet2_extension/utility/utilities.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
 
 #include <boost/geometry/algorithms/union.hpp>
 
@@ -33,9 +33,9 @@
 namespace autoware::behavior_path_planner
 {
 using autoware::lane_departure_checker::LaneDepartureChecker;
+using autoware::universe_utils::calcOffsetPose;
 using lanelet::autoware::NoParkingArea;
 using lanelet::autoware::NoStoppingArea;
-using tier4_autoware_utils::calcOffsetPose;
 
 // Sort with smaller longitudinal distances taking precedence over smaller lateral distances.
 struct SortByLongitudinalDistance
@@ -136,7 +136,7 @@ GoalCandidates GoalSearcher::search(
     // todo(kosuke55): fix orientation for inverseTransformPoint temporarily
     Pose center_pose = p.point.pose;
     center_pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(tf2::getYaw(center_pose.orientation));
+      autoware::universe_utils::createQuaternionFromYaw(tf2::getYaw(center_pose.orientation));
 
     // ignore goal_pose near lane start
     const double distance_from_lane_start =
@@ -156,7 +156,7 @@ GoalCandidates GoalSearcher::search(
     // original means non lateral offset poses
     const Pose original_search_pose = calcOffsetPose(center_pose, 0, offset_from_center_line, 0);
     const double longitudinal_distance_from_original_goal =
-      std::abs(motion_utils::calcSignedArcLength(
+      std::abs(autoware::motion_utils::calcSignedArcLength(
         center_line_path.points, reference_goal_pose_.position, original_search_pose.position));
     original_search_poses.push_back(original_search_pose);  // for createAreaPolygon
     Pose search_pose{};
@@ -167,7 +167,7 @@ GoalCandidates GoalSearcher::search(
       search_pose = calcOffsetPose(original_search_pose, 0, sign * dy, 0);
 
       const auto transformed_vehicle_footprint =
-        transformVector(vehicle_footprint_, tier4_autoware_utils::pose2transform(search_pose));
+        transformVector(vehicle_footprint_, autoware::universe_utils::pose2transform(search_pose));
 
       if (isInAreas(transformed_vehicle_footprint, getNoParkingAreaPolygons(pull_over_lanes))) {
         // break here to exclude goals located laterally in no_parking_areas
@@ -245,8 +245,8 @@ void GoalSearcher::countObjectsToAvoid(
   for (const auto & object : objects.objects) {
     for (const auto & p : current_center_line_path.points) {
       const auto transformed_vehicle_footprint =
-        transformVector(vehicle_footprint_, tier4_autoware_utils::pose2transform(p.point.pose));
-      const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object);
+        transformVector(vehicle_footprint_, autoware::universe_utils::pose2transform(p.point.pose));
+      const auto obj_polygon = autoware::universe_utils::toPolygon2d(object);
       const double distance = boost::geometry::distance(obj_polygon, transformed_vehicle_footprint);
       if (distance > parameters_.object_recognition_collision_check_hard_margins.back()) {
         continue;
@@ -431,9 +431,9 @@ bool GoalSearcher::checkCollisionWithLongitudinalDistance(
 void GoalSearcher::createAreaPolygons(
   std::vector<Pose> original_search_poses, const std::shared_ptr<const PlannerData> & planner_data)
 {
-  using tier4_autoware_utils::MultiPolygon2d;
-  using tier4_autoware_utils::Point2d;
-  using tier4_autoware_utils::Polygon2d;
+  using autoware::universe_utils::MultiPolygon2d;
+  using autoware::universe_utils::Point2d;
+  using autoware::universe_utils::Polygon2d;
 
   const double vehicle_width = planner_data->parameters.vehicle_width;
   const double base_link2front = planner_data->parameters.base_link2front;
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/manager.cpp
similarity index 99%
rename from planning/autoware_behavior_path_goal_planner_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/manager.cpp
index be5845d2dd37d..901fe351fc68b 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/manager.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/manager.hpp"
+#include "autoware/behavior_path_goal_planner_module/manager.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -428,7 +428,7 @@ void GoalPlannerModuleManager::updateModuleParams(
   // object_recognition_collision_check_hard_margins, maximum_deceleration, shift_sampling_num or
   // parking_policy, there seems to be a problem when we use a temp value to check these values.
 
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   auto & p = parameters_;
 
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp
similarity index 93%
rename from planning/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp
index 5c1e874b949ab..beb27c67833ea 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/shift_pull_over.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/shift_pull_over.hpp"
+#include "autoware/behavior_path_goal_planner_module/shift_pull_over.hpp"
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
 
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
@@ -101,8 +101,8 @@ std::optional<PathWithLaneId> ShiftPullOver::cropPrevModulePath(
   const PathWithLaneId & prev_module_path, const Pose & shift_end_pose) const
 {
   // clip previous module path to shift end pose nearest segment index
-  const size_t shift_end_idx =
-    motion_utils::findNearestSegmentIndex(prev_module_path.points, shift_end_pose.position);
+  const size_t shift_end_idx = autoware::motion_utils::findNearestSegmentIndex(
+    prev_module_path.points, shift_end_pose.position);
   std::vector<PathPointWithLaneId> clipped_points{
     prev_module_path.points.begin(), prev_module_path.points.begin() + shift_end_idx};
   if (clipped_points.empty()) {
@@ -111,10 +111,10 @@ std::optional<PathWithLaneId> ShiftPullOver::cropPrevModulePath(
 
   // add projected shift end pose to clipped points
   PathPointWithLaneId projected_point = clipped_points.back();
-  const double offset = motion_utils::calcSignedArcLength(
+  const double offset = autoware::motion_utils::calcSignedArcLength(
     prev_module_path.points, shift_end_idx, shift_end_pose.position);
   projected_point.point.pose =
-    tier4_autoware_utils::calcOffsetPose(clipped_points.back().point.pose, offset, 0, 0);
+    autoware::universe_utils::calcOffsetPose(clipped_points.back().point.pose, offset, 0, 0);
   clipped_points.push_back(projected_point);
   auto clipped_prev_module_path = prev_module_path;
   clipped_prev_module_path.points = clipped_points;
@@ -131,7 +131,7 @@ std::optional<PullOverPath> ShiftPullOver::generatePullOverPath(
 
   // shift end pose is longitudinal offset from goal pose to improve parking angle accuracy
   const Pose shift_end_pose =
-    tier4_autoware_utils::calcOffsetPose(goal_pose, -after_shift_straight_distance, 0, 0);
+    autoware::universe_utils::calcOffsetPose(goal_pose, -after_shift_straight_distance, 0, 0);
 
   // calculate lateral shift of previous module path terminal pose from road lane reference path
   const auto road_lane_reference_path_to_shift_end = utils::resamplePathWithSpline(
@@ -162,7 +162,7 @@ std::optional<PullOverPath> ShiftPullOver::generatePullOverPath(
   const Pose & shift_end_pose_prev_module_path =
     processed_prev_module_path->points.back().point.pose;
   const double shift_end_road_to_target_distance =
-    tier4_autoware_utils::inverseTransformPoint(
+    autoware::universe_utils::inverseTransformPoint(
       shift_end_pose.position, shift_end_pose_prev_module_path)
       .y;
 
@@ -171,7 +171,7 @@ std::optional<PullOverPath> ShiftPullOver::generatePullOverPath(
     shift_end_road_to_target_distance, lateral_jerk, pull_over_velocity);
   const double before_shifted_pull_over_distance = calcBeforeShiftedArcLength(
     processed_prev_module_path.value(), pull_over_distance, shift_end_road_to_target_distance);
-  const auto shift_start_pose = motion_utils::calcLongitudinalOffsetPose(
+  const auto shift_start_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
     processed_prev_module_path->points, shift_end_pose_prev_module_path.position,
     -before_shifted_pull_over_distance);
 
@@ -188,8 +188,8 @@ std::optional<PullOverPath> ShiftPullOver::generatePullOverPath(
   if (!path_shifter.generate(&shifted_path, offset_back)) {
     return {};
   }
-  shifted_path.path.points = motion_utils::removeOverlapPoints(shifted_path.path.points);
-  motion_utils::insertOrientation(shifted_path.path.points, true);
+  shifted_path.path.points = autoware::motion_utils::removeOverlapPoints(shifted_path.path.points);
+  autoware::motion_utils::insertOrientation(shifted_path.path.points, true);
 
   // set same orientation, because the reference center line orientation is not same to the
   shifted_path.path.points.back().point.pose.orientation = shift_end_pose.orientation;
@@ -309,7 +309,7 @@ double ShiftPullOver::calcBeforeShiftedArcLength(
   double before_arc_length{0.0};
   double after_arc_length{0.0};
   for (const auto & [k, segment_length] :
-       motion_utils::calcCurvatureAndArcLength(reversed_path.points)) {
+       autoware::motion_utils::calcCurvatureAndArcLength(reversed_path.points)) {
     // after shifted segment length
     const double after_segment_length =
       k > 0 ? segment_length * (1 + k * dr) : segment_length / (1 - k * dr);
diff --git a/planning/autoware_behavior_path_goal_planner_module/src/util.cpp b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/util.cpp
similarity index 86%
rename from planning/autoware_behavior_path_goal_planner_module/src/util.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/util.cpp
index aa3b61899978c..99bef9c243508 100644
--- a/planning/autoware_behavior_path_goal_planner_module/src/util.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_goal_planner_module/src/util.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_goal_planner_module/util.hpp"
+#include "autoware/behavior_path_goal_planner_module/util.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <boost/geometry/algorithms/dispatch/distance.hpp>
 
@@ -38,11 +38,11 @@
 namespace autoware::behavior_path_planner::goal_planner_utils
 {
 
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 
 lanelet::ConstLanelets getPullOverLanes(
   const RouteHandler & route_handler, const bool left_side, const double backward_distance,
@@ -116,9 +116,9 @@ lanelet::ConstLanelets generateBetweenEgoAndExpandedPullOverLanes(
   const double ego_length_to_front = wheel_base + front_overhang;
   const double ego_width_to_front =
     !left_side ? (-wheel_tread / 2.0 - side_overhang) : (wheel_tread / 2.0 + side_overhang);
-  tier4_autoware_utils::Point2d front_edge_local{ego_length_to_front, ego_width_to_front};
-  const auto front_edge_glob = tier4_autoware_utils::transformPoint(
-    front_edge_local, tier4_autoware_utils::pose2transform(ego_pose));
+  autoware::universe_utils::Point2d front_edge_local{ego_length_to_front, ego_width_to_front};
+  const auto front_edge_glob = autoware::universe_utils::transformPoint(
+    front_edge_local, autoware::universe_utils::pose2transform(ego_pose));
   geometry_msgs::msg::Pose ego_front_pose;
   ego_front_pose.position =
     createPoint(front_edge_glob.x(), front_edge_glob.y(), ego_pose.position.z);
@@ -180,8 +180,8 @@ PredictedObjects filterObjectsByLateralDistance(
 }
 
 MarkerArray createPullOverAreaMarkerArray(
-  const tier4_autoware_utils::MultiPolygon2d area_polygons, const std_msgs::msg::Header & header,
-  const std_msgs::msg::ColorRGBA & color, const double z)
+  const autoware::universe_utils::MultiPolygon2d area_polygons,
+  const std_msgs::msg::Header & header, const std_msgs::msg::ColorRGBA & color, const double z)
 {
   MarkerArray marker_array{};
   for (size_t i = 0; i < area_polygons.size(); ++i) {
@@ -205,7 +205,7 @@ MarkerArray createPosesMarkerArray(
   MarkerArray msg{};
   int32_t i = 0;
   for (const auto & pose : poses) {
-    Marker marker = tier4_autoware_utils::createDefaultMarker(
+    Marker marker = autoware::universe_utils::createDefaultMarker(
       "map", rclcpp::Clock{RCL_ROS_TIME}.now(), ns, i, Marker::ARROW,
       createMarkerScale(0.5, 0.25, 0.25), color);
     marker.pose = pose;
@@ -305,11 +305,11 @@ double calcLateralDeviationBetweenPaths(
 {
   double lateral_deviation = 0.0;
   for (const auto & target_point : target_path.points) {
-    const size_t nearest_index =
-      motion_utils::findNearestIndex(reference_path.points, target_point.point.pose.position);
+    const size_t nearest_index = autoware::motion_utils::findNearestIndex(
+      reference_path.points, target_point.point.pose.position);
     lateral_deviation = std::max(
       lateral_deviation,
-      std::abs(tier4_autoware_utils::calcLateralDeviation(
+      std::abs(autoware::universe_utils::calcLateralDeviation(
         reference_path.points[nearest_index].point.pose, target_point.point.pose.position)));
   }
   return lateral_deviation;
@@ -325,7 +325,8 @@ bool isReferencePath(
 
 std::optional<PathWithLaneId> cropPath(const PathWithLaneId & path, const Pose & end_pose)
 {
-  const size_t end_idx = motion_utils::findNearestSegmentIndex(path.points, end_pose.position);
+  const size_t end_idx =
+    autoware::motion_utils::findNearestSegmentIndex(path.points, end_pose.position);
   std::vector<PathPointWithLaneId> clipped_points{
     path.points.begin(), path.points.begin() + end_idx};
   if (clipped_points.empty()) {
@@ -334,9 +335,10 @@ std::optional<PathWithLaneId> cropPath(const PathWithLaneId & path, const Pose &
 
   // add projected end pose to clipped points
   PathPointWithLaneId projected_point = clipped_points.back();
-  const double offset = motion_utils::calcSignedArcLength(path.points, end_idx, end_pose.position);
+  const double offset =
+    autoware::motion_utils::calcSignedArcLength(path.points, end_idx, end_pose.position);
   projected_point.point.pose =
-    tier4_autoware_utils::calcOffsetPose(clipped_points.back().point.pose, offset, 0, 0);
+    autoware::universe_utils::calcOffsetPose(clipped_points.back().point.pose, offset, 0, 0);
   clipped_points.push_back(projected_point);
   auto clipped_path = path;
   clipped_path.points = clipped_points;
@@ -351,7 +353,8 @@ PathWithLaneId cropForwardPoints(
 
   double sum_length = 0;
   for (size_t i = target_seg_idx + 1; i < points.size(); ++i) {
-    const double seg_length = tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    const double seg_length =
+      autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (forward_length < sum_length + seg_length) {
       const auto cropped_points =
         std::vector<PathPointWithLaneId>{points.begin() + target_seg_idx, points.begin() + i};
@@ -390,33 +393,33 @@ PathWithLaneId extendPath(
   const auto & target_terminal_pose = target_path.points.back().point.pose;
 
   // generate clipped road lane reference path from previous module path terminal pose to shift end
-  const size_t target_path_terminal_idx =
-    motion_utils::findNearestSegmentIndex(reference_path.points, target_terminal_pose.position);
+  const size_t target_path_terminal_idx = autoware::motion_utils::findNearestSegmentIndex(
+    reference_path.points, target_terminal_pose.position);
 
   PathWithLaneId clipped_path =
     cropForwardPoints(reference_path, target_path_terminal_idx, extend_length);
 
   // shift clipped path to previous module path terminal pose
   const double lateral_shift_from_reference_path =
-    motion_utils::calcLateralOffset(reference_path.points, target_terminal_pose.position);
+    autoware::motion_utils::calcLateralOffset(reference_path.points, target_terminal_pose.position);
   for (auto & p : clipped_path.points) {
-    p.point.pose =
-      tier4_autoware_utils::calcOffsetPose(p.point.pose, 0, lateral_shift_from_reference_path, 0);
+    p.point.pose = autoware::universe_utils::calcOffsetPose(
+      p.point.pose, 0, lateral_shift_from_reference_path, 0);
   }
 
   auto extended_path = target_path;
   const auto start_point =
     std::find_if(clipped_path.points.begin(), clipped_path.points.end(), [&](const auto & p) {
       const bool is_forward =
-        tier4_autoware_utils::inverseTransformPoint(p.point.pose.position, target_terminal_pose).x >
-        0.0;
-      const bool is_close = tier4_autoware_utils::calcDistance2d(
+        autoware::universe_utils::inverseTransformPoint(p.point.pose.position, target_terminal_pose)
+          .x > 0.0;
+      const bool is_close = autoware::universe_utils::calcDistance2d(
                               p.point.pose.position, target_terminal_pose.position) < 0.1;
       return is_forward && !is_close;
     });
   std::copy(start_point, clipped_path.points.end(), std::back_inserter(extended_path.points));
 
-  extended_path.points = motion_utils::removeOverlapPoints(extended_path.points);
+  extended_path.points = autoware::motion_utils::removeOverlapPoints(extended_path.points);
 
   return extended_path;
 }
@@ -426,9 +429,9 @@ PathWithLaneId extendPath(
   const Pose & extend_pose)
 {
   const auto & target_terminal_pose = target_path.points.back().point.pose;
-  const size_t target_path_terminal_idx =
-    motion_utils::findNearestSegmentIndex(reference_path.points, target_terminal_pose.position);
-  const double extend_distance = motion_utils::calcSignedArcLength(
+  const size_t target_path_terminal_idx = autoware::motion_utils::findNearestSegmentIndex(
+    reference_path.points, target_terminal_pose.position);
+  const double extend_distance = autoware::motion_utils::calcSignedArcLength(
     reference_path.points, target_path_terminal_idx, extend_pose.position);
 
   return extendPath(target_path, reference_path, extend_distance);
@@ -442,7 +445,7 @@ std::vector<Polygon2d> createPathFootPrints(
   for (const auto & point : path.points) {
     const auto & pose = point.point.pose;
     footprints.push_back(
-      tier4_autoware_utils::toFootprint(pose, base_to_front, base_to_rear, width));
+      autoware::universe_utils::toFootprint(pose, base_to_front, base_to_rear, width));
   }
   return footprints;
 }
diff --git a/planning/autoware_behavior_path_lane_change_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_lane_change_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/README.md
diff --git a/planning/autoware_behavior_path_lane_change_module/config/lane_change.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/config/lane_change.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/config/lane_change.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/config/lane_change.param.yaml
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-abort.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-abort.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-abort.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-abort.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-cancel.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-cancel.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-cancel.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-cancel.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-candidate_path_samples.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-candidate_path_samples.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-candidate_path_samples.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-candidate_path_samples.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-cant_cancel_no_abort.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-cant_cancel_no_abort.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-cant_cancel_no_abort.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-cant_cancel_no_abort.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-1.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-1.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-1.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-1.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-2.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-2.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-2.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-2.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-3.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-3.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-debug-3.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-debug-3.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-enable_collision_check_at_prepare_phase.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-enable_collision_check_at_prepare_phase.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-enable_collision_check_at_prepare_phase.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-enable_collision_check_at_prepare_phase.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-intersection_case.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-intersection_case.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-intersection_case.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-intersection_case.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_change_phases.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_change_phases.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_change_phases.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_change_phases.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-with.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-with.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-with.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-with.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-without.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-without.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-without.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-lane_expansion-without.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal_no_block.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal_no_block.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal_no_block.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_at_terminal_no_block.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_far_from_target_lane.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_far_from_target_lane.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_far_from_target_lane.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_far_from_target_lane.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal_no_blocking_object.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal_no_blocking_object.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal_no_blocking_object.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-stop_not_at_terminal_no_blocking_object.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change-when_cannot_change_lanes.png b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-when_cannot_change_lanes.png
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change-when_cannot_change_lanes.png
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change-when_cannot_change_lanes.png
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_change.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_change.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_change.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/images/lane_objects.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_objects.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/images/lane_objects.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/images/lane_objects.drawio.svg
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/interface.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/interface.hpp
similarity index 77%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/interface.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/interface.hpp
index 5ad4660dcf39c..9c014b77a7e82 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/interface.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/interface.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
 
-#include "autoware_behavior_path_lane_change_module/scene.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/base_class.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_lane_change_module/scene.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/base_class.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -59,8 +59,6 @@ class LaneChangeInterface : public SceneModuleInterface
   LaneChangeInterface & operator=(LaneChangeInterface &&) = delete;
   ~LaneChangeInterface() override = default;
 
-  void processOnEntry() override;
-
   void processOnExit() override;
 
   bool isExecutionRequested() const override;
@@ -93,25 +91,6 @@ class LaneChangeInterface : public SceneModuleInterface
 
   MarkerArray getModuleVirtualWall() override;
 
-  // TODO(someone): remove this, and use base class function
-  [[deprecated]] BehaviorModuleOutput run() override
-  {
-    updateData();
-
-    if (!isWaitingApproval()) {
-      return plan();
-    }
-
-    // module is waiting approval. Check it.
-    if (isActivated()) {
-      RCLCPP_DEBUG(getLogger(), "Was waiting approval, and now approved. Do plan().");
-      return plan();
-    } else {
-      RCLCPP_DEBUG(getLogger(), "keep waiting approval... Do planCandidate().");
-      return planWaitingApproval();
-    }
-  }
-
 protected:
   std::shared_ptr<LaneChangeParameters> parameters_;
 
@@ -156,4 +135,4 @@ class LaneChangeInterface : public SceneModuleInterface
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__INTERFACE_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/manager.hpp
similarity index 83%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/manager.hpp
index e614a9a084a14..6e6d267dc445f 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/manager.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_route_handler/route_handler.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/route_handler/route_handler.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -73,4 +73,4 @@ class LaneChangeLeftModuleManager : public LaneChangeModuleManager
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/scene.hpp
similarity index 96%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/scene.hpp
index 5391f75adfd46..69e9e90a236b9 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/scene.hpp
@@ -11,11 +11,11 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
 
-#include "autoware_behavior_path_lane_change_module/utils/base_class.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/base_class.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
 
 #include <memory>
 #include <utility>
@@ -206,4 +206,4 @@ class NormalLaneChange : public LaneChangeBase
   double stop_time_{0.0};
 };
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__SCENE_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/base_class.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/base_class.hpp
similarity index 91%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/base_class.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/base_class.hpp
index f1b7e6308313d..229f46f89377f 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/base_class.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/base_class.hpp
@@ -11,17 +11,17 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
-
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/debug_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
+
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/debug_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
 #include <magic_enum.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -37,11 +37,11 @@
 namespace autoware::behavior_path_planner
 {
 using autoware::route_handler::Direction;
+using autoware::universe_utils::StopWatch;
 using data::lane_change::PathSafetyStatus;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
-using tier4_autoware_utils::StopWatch;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 class LaneChangeBase
@@ -239,4 +239,4 @@ class LaneChangeBase
   mutable rclcpp::Clock clock_{RCL_ROS_TIME};
 };
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__BASE_CLASS_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/data_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/data_structs.hpp
similarity index 94%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/data_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/data_structs.hpp
index 0307799ff7bdc..0facd8c077505 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/data_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/data_structs.hpp
@@ -11,11 +11,11 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <interpolation/linear_interpolation.hpp>
 
@@ -226,4 +226,4 @@ struct LanesPolygon
 };
 }  // namespace autoware::behavior_path_planner::data::lane_change
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DATA_STRUCTS_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/debug_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/debug_structs.hpp
similarity index 85%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/debug_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/debug_structs.hpp
index 14b900b2fa826..3b8159dc3ad47 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/debug_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/debug_structs.hpp
@@ -11,13 +11,13 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
 
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
 
-#include <autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp>
+#include <autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp>
 
 #include <geometry_msgs/msg/detail/polygon__struct.hpp>
 
@@ -73,4 +73,4 @@ struct Debug
 };
 }  // namespace autoware::behavior_path_planner::data::lane_change
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__DEBUG_STRUCTS_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/markers.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/markers.hpp
similarity index 83%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/markers.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/markers.hpp
index 87724bb25a7b5..c40db47adf280 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/markers.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/markers.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
 
-#include "autoware_behavior_path_lane_change_module/utils/debug_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/debug_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
 #include <geometry_msgs/msg/detail/polygon__struct.hpp>
 #include <geometry_msgs/msg/detail/pose__struct.hpp>
@@ -48,4 +48,4 @@ MarkerArray createDebugMarkerArray(
   const Debug & debug_data, const geometry_msgs::msg::Pose & ego_pose);
 
 }  // namespace marker_utils::lane_change_markers
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__MARKERS_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/path.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/path.hpp
similarity index 78%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/path.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/path.hpp
index 28f4925eebdd1..77c603e3bd975 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/path.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/path.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
 
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -50,4 +50,4 @@ struct LaneChangeStatus
 };
 
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__PATH_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/utils.hpp
similarity index 95%
rename from planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/utils.hpp
index 1fd716dc74c7c..4071c39568987 100644
--- a/planning/autoware_behavior_path_lane_change_module/include/autoware_behavior_path_lane_change_module/utils/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/include/autoware/behavior_path_lane_change_module/utils/utils.hpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
-
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
-#include "autoware_behavior_path_planner_common/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#ifndef AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
+
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_planner_common/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 #include "rclcpp/logger.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <geometry_msgs/msg/pose_stamped.hpp>
@@ -44,6 +44,7 @@ using autoware::behavior_path_planner::utils::path_safety_checker::
 using autoware::behavior_path_planner::utils::path_safety_checker::PoseWithVelocityStamped;
 using autoware::behavior_path_planner::utils::path_safety_checker::PredictedPathWithPolygon;
 using autoware::route_handler::Direction;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::PredictedPath;
@@ -53,7 +54,6 @@ using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
 using path_safety_checker::CollisionCheckDebugMap;
-using tier4_autoware_utils::Polygon2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 double calcLaneChangeResampleInterval(
@@ -309,4 +309,4 @@ geometry_msgs::msg::Polygon createExecutionArea(
   double additional_lon_offset, double additional_lat_offset);
 }  // namespace autoware::behavior_path_planner::utils::lane_change::debug
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_LANE_CHANGE_MODULE__UTILS__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_lane_change_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/package.xml
similarity index 90%
rename from planning/autoware_behavior_path_lane_change_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/package.xml
index dca36f99e3faa..74d11dbcb1e13 100644
--- a/planning/autoware_behavior_path_lane_change_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/package.xml
@@ -12,6 +12,7 @@
   <maintainer email="tomoya.kimura@tier4.jp">Tomoya Kimura</maintainer>
   <maintainer email="shumpei.wakabayashi@tier4.jp">Shumpei Wakabayashi</maintainer>
   <maintainer email="tomohito.ando@tier4.jp">Tomohito Ando</maintainer>
+  <maintainer email="alqudah.mohammad@tier4.jp">Alqudah Mohammad</maintainer>
 
   <license>Apache License 2.0</license>
 
@@ -21,11 +22,11 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_rtc_interface</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_lane_change_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_lane_change_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/plugins.xml
diff --git a/planning/autoware_behavior_path_lane_change_module/src/interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/interface.cpp
similarity index 93%
rename from planning/autoware_behavior_path_lane_change_module/src/interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/interface.cpp
index 888594e0c41e5..0a5b31f9e32d2 100644
--- a/planning/autoware_behavior_path_lane_change_module/src/interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/interface.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_lane_change_module/interface.hpp"
+#include "autoware/behavior_path_lane_change_module/interface.hpp"
 
-#include "autoware_behavior_path_lane_change_module/utils/markers.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/markers.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
 
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -29,7 +29,7 @@
 
 namespace autoware::behavior_path_planner
 {
-using tier4_autoware_utils::appendMarkerArray;
+using autoware::universe_utils::appendMarkerArray;
 using utils::lane_change::assignToCandidate;
 
 LaneChangeInterface::LaneChangeInterface(
@@ -47,11 +47,6 @@ LaneChangeInterface::LaneChangeInterface(
   logger_ = utils::lane_change::getLogger(module_type_->getModuleTypeStr());
 }
 
-void LaneChangeInterface::processOnEntry()
-{
-  waitApproval();
-}
-
 void LaneChangeInterface::processOnExit()
 {
   module_type_->resetParameters();
@@ -79,7 +74,7 @@ void LaneChangeInterface::updateData()
   module_type_->setPreviousModuleOutput(getPreviousModuleOutput());
   module_type_->updateSpecialData();
 
-  if (isWaitingApproval()) {
+  if (isWaitingApproval() || module_type_->isAbortState()) {
     module_type_->updateLaneChangeStatus();
   }
 
@@ -116,14 +111,12 @@ BehaviorModuleOutput LaneChangeInterface::plan()
 
   updateSteeringFactorPtr(output);
   if (module_type_->isAbortState()) {
-    waitApproval();
     const auto candidate = planCandidate();
     path_candidate_ = std::make_shared<PathWithLaneId>(candidate.path_candidate);
     updateRTCStatus(
       std::numeric_limits<double>::lowest(), std::numeric_limits<double>::lowest(), true,
       State::ABORTING);
   } else {
-    clearWaitingApproval();
     const auto path =
       assignToCandidate(module_type_->getLaneChangePath(), module_type_->getEgoPosition());
     updateRTCStatus(
@@ -153,7 +146,7 @@ BehaviorModuleOutput LaneChangeInterface::planWaitingApproval()
 
   if (!module_type_->isValidPath()) {
     updateRTCStatus(
-      std::numeric_limits<double>::lowest(), std::numeric_limits<double>::lowest(), true,
+      std::numeric_limits<double>::lowest(), std::numeric_limits<double>::lowest(), false,
       State::FAILED);
     path_candidate_ = std::make_shared<PathWithLaneId>();
     return out;
@@ -209,11 +202,6 @@ bool LaneChangeInterface::canTransitSuccessState()
     }
   }
 
-  if (module_type_->isAbortState() && module_type_->hasFinishedAbort()) {
-    log_debug_throttled("Abort process has completed.");
-    return true;
-  }
-
   if (module_type_->hasFinishedLaneChange()) {
     module_type_->resetParameters();
     log_debug_throttled("Lane change process has completed.");
@@ -243,6 +231,16 @@ bool LaneChangeInterface::canTransitFailureState()
     return false;
   }
 
+  if (!module_type_->isValidPath()) {
+    log_debug_throttled("Transit to failure state due not to find valid path");
+    return true;
+  }
+
+  if (module_type_->isAbortState() && module_type_->hasFinishedAbort()) {
+    log_debug_throttled("Abort process has completed.");
+    return true;
+  }
+
   if (module_type_->isCancelEnabled() && module_type_->isEgoOnPreparePhase()) {
     if (module_type_->isStoppedAtRedTrafficLight()) {
       log_debug_throttled("Stopping at traffic light while in prepare phase. Cancel lane change");
@@ -354,9 +352,9 @@ void LaneChangeInterface::updateSteeringFactorPtr(const BehaviorModuleOutput & o
 
   const auto current_position = module_type_->getEgoPosition();
   const auto status = module_type_->getLaneChangeStatus();
-  const auto start_distance = motion_utils::calcSignedArcLength(
+  const auto start_distance = autoware::motion_utils::calcSignedArcLength(
     output.path.points, current_position, status.lane_change_path.info.shift_line.start.position);
-  const auto finish_distance = motion_utils::calcSignedArcLength(
+  const auto finish_distance = autoware::motion_utils::calcSignedArcLength(
     output.path.points, current_position, status.lane_change_path.info.shift_line.end.position);
 
   steering_factor_interface_ptr_->updateSteeringFactor(
diff --git a/planning/autoware_behavior_path_lane_change_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/manager.cpp
similarity index 98%
rename from planning/autoware_behavior_path_lane_change_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/manager.cpp
index 8a359df98f04f..61ff54e8f99f3 100644
--- a/planning/autoware_behavior_path_lane_change_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/manager.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_lane_change_module/manager.hpp"
+#include "autoware/behavior_path_lane_change_module/manager.hpp"
 
-#include "autoware_behavior_path_lane_change_module/interface.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/behavior_path_lane_change_module/interface.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -36,7 +36,7 @@ void LaneChangeModuleManager::init(rclcpp::Node * node)
 
 void LaneChangeModuleManager::initParams(rclcpp::Node * node)
 {
-  using tier4_autoware_utils::getOrDeclareParameter;
+  using autoware::universe_utils::getOrDeclareParameter;
 
   LaneChangeParameters p{};
 
@@ -281,7 +281,7 @@ std::unique_ptr<SceneModuleInterface> LaneChangeModuleManager::createNewSceneMod
 
 void LaneChangeModuleManager::updateModuleParams(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   auto p = parameters_;
 
diff --git a/planning/autoware_behavior_path_lane_change_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/scene.cpp
similarity index 97%
rename from planning/autoware_behavior_path_lane_change_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/scene.cpp
index 44132f490c018..505bb3ef93340 100644
--- a/planning/autoware_behavior_path_lane_change_module/src/scene.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/scene.cpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_lane_change_module/scene.hpp"
+#include "autoware/behavior_path_lane_change_module/scene.hpp"
 
-#include "autoware_behavior_path_lane_change_module/utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
 
 #include <lanelet2_core/geometry/Point.h>
 #include <lanelet2_core/geometry/Polygon.h>
@@ -37,7 +37,7 @@
 
 namespace autoware::behavior_path_planner
 {
-using motion_utils::calcSignedArcLength;
+using autoware::motion_utils::calcSignedArcLength;
 using utils::lane_change::calcMinimumLaneChangeLength;
 using utils::lane_change::createLanesPolygon;
 using utils::path_safety_checker::isPolygonOverlapLanelet;
@@ -182,13 +182,13 @@ TurnSignalInfo NormalLaneChange::get_current_turn_signal_info()
 
   const double buffer =
     next_lane_change_buffer + min_length_for_turn_signal_activation + base_to_front;
-  const double path_length = motion_utils::calcArcLength(path.points);
+  const double path_length = autoware::motion_utils::calcArcLength(path.points);
   const size_t current_nearest_seg_idx =
-    motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
       path.points, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
   const double dist_to_terminal = utils::getDistanceToEndOfLane(current_pose, current_lanes);
-  const auto start_pose =
-    motion_utils::calcLongitudinalOffsetPose(path.points, 0, std::max(path_length - buffer, 0.0));
+  const auto start_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
+    path.points, 0, std::max(path_length - buffer, 0.0));
   if (dist_to_terminal - base_to_front < buffer && start_pose) {
     // modify turn signal
     current_turn_signal_info.desired_start_point = *start_pose;
@@ -389,10 +389,10 @@ void NormalLaneChange::insertStopPoint(
 
       // calculate distance from path front to the stationary object polygon on the ego lane.
       const auto polygon =
-        tier4_autoware_utils::toPolygon2d(object.initial_pose.pose, object.shape).outer();
+        autoware::universe_utils::toPolygon2d(object.initial_pose.pose, object.shape).outer();
       for (const auto & polygon_p : polygon) {
-        const auto p_fp = tier4_autoware_utils::toMsg(polygon_p.to_3d());
-        const auto lateral_fp = motion_utils::calcLateralOffset(path.points, p_fp);
+        const auto p_fp = autoware::universe_utils::toMsg(polygon_p.to_3d());
+        const auto lateral_fp = autoware::motion_utils::calcLateralOffset(path.points, p_fp);
 
         // ignore if the point is around the ego path
         if (std::abs(lateral_fp) > planner_data_->parameters.vehicle_width) {
@@ -442,7 +442,7 @@ void NormalLaneChange::insertStopPoint(
 
         // target_objects includes objects out of target lanes, so filter them out
         if (!boost::geometry::intersects(
-              tier4_autoware_utils::toPolygon2d(o.initial_pose.pose, o.shape).outer(),
+              autoware::universe_utils::toPolygon2d(o.initial_pose.pose, o.shape).outer(),
               lanelet::utils::combineLaneletsShape(status_.target_lanes)
                 .polygon2d()
                 .basicPolygon())) {
@@ -690,7 +690,7 @@ bool NormalLaneChange::isAbleToReturnCurrentLane() const
     return false;
   }
 
-  const auto nearest_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  const auto nearest_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     status_.lane_change_path.path.points, getEgoPose(),
     planner_data_->parameters.ego_nearest_dist_threshold,
     planner_data_->parameters.ego_nearest_yaw_threshold);
@@ -729,7 +729,7 @@ bool NormalLaneChange::isAbleToStopSafely() const
     return false;
   }
 
-  const auto nearest_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  const auto nearest_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     status_.lane_change_path.path.points, getEgoPose(),
     planner_data_->parameters.ego_nearest_dist_threshold,
     planner_data_->parameters.ego_nearest_yaw_threshold);
@@ -798,7 +798,7 @@ std::pair<double, double> NormalLaneChange::calcCurrentMinMaxAcceleration() cons
   const auto vehicle_min_acc = std::max(p.min_acc, lane_change_parameters_->min_longitudinal_acc);
   const auto vehicle_max_acc = std::min(p.max_acc, lane_change_parameters_->max_longitudinal_acc);
 
-  const auto ego_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  const auto ego_seg_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     prev_module_output_.path.points, getEgoPose(), p.ego_nearest_dist_threshold,
     p.ego_nearest_yaw_threshold);
   const auto max_path_velocity =
@@ -914,8 +914,9 @@ PathWithLaneId NormalLaneChange::getPrepareSegment(
   }
 
   auto prepare_segment = prev_module_output_.path;
-  const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    prepare_segment.points, getEgoPose(), 3.0, 1.0);
+  const size_t current_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      prepare_segment.points, getEgoPose(), 3.0, 1.0);
   utils::clipPathLength(prepare_segment, current_seg_idx, prepare_length, backward_path_length);
 
   return prepare_segment;
@@ -991,11 +992,11 @@ LaneChangeLanesFilteredObjects NormalLaneChange::filterObjects(
   }
 
   const auto is_ahead_of_ego = [&path, &current_pose](const auto & object) {
-    const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object).outer();
+    const auto obj_polygon = autoware::universe_utils::toPolygon2d(object).outer();
 
     double max_dist_ego_to_obj = std::numeric_limits<double>::lowest();
     for (const auto & polygon_p : obj_polygon) {
-      const auto obj_p = tier4_autoware_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
+      const auto obj_p = autoware::universe_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
       const auto dist_ego_to_obj = calcSignedArcLength(path.points, current_pose.position, obj_p);
       max_dist_ego_to_obj = std::max(dist_ego_to_obj, max_dist_ego_to_obj);
     }
@@ -1083,11 +1084,11 @@ void NormalLaneChange::filterAheadTerminalObjects(
 
   // ignore object that are ahead of terminal lane change start
   utils::path_safety_checker::filterObjects(objects, [&](const PredictedObject & object) {
-    const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object).outer();
+    const auto obj_polygon = autoware::universe_utils::toPolygon2d(object).outer();
     // ignore object that are ahead of terminal lane change start
     auto distance_to_terminal_from_object = std::numeric_limits<double>::max();
     for (const auto & polygon_p : obj_polygon) {
-      const auto obj_p = tier4_autoware_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
+      const auto obj_p = autoware::universe_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
       Pose polygon_pose;
       polygon_pose.position = obj_p;
       polygon_pose.orientation = object.kinematics.initial_pose_with_covariance.pose.orientation;
@@ -1667,7 +1668,7 @@ std::optional<LaneChangePath> NormalLaneChange::calcTerminalLaneChangePath(
       utils::getDistanceToEndOfLane(route_handler.getGoalPose(), current_lanes);
   }
 
-  const auto lane_changing_start_pose = motion_utils::calcLongitudinalOffsetPose(
+  const auto lane_changing_start_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
     prev_module_output_.path.points, current_lane_terminal_point,
     -(lane_change_buffer + next_lane_change_buffer + distance_to_terminal_from_goal));
 
@@ -1752,7 +1753,7 @@ std::optional<LaneChangePath> NormalLaneChange::calcTerminalLaneChangePath(
     target_lane_reference_path, shift_length);
 
   auto reference_segment = prev_module_output_.path;
-  const double length_to_lane_changing_start = motion_utils::calcSignedArcLength(
+  const double length_to_lane_changing_start = autoware::motion_utils::calcSignedArcLength(
     reference_segment.points, reference_segment.points.front().point.pose.position,
     lane_changing_start_pose->position);
   utils::clipPathLength(reference_segment, 0, length_to_lane_changing_start, 0.0);
@@ -1894,12 +1895,12 @@ bool NormalLaneChange::calcAbortPath()
       lanelet::utils::getLaneletLength2d(reference_lanelets) - minimum_lane_change_length, 0.0);
 
     const auto ref = route_handler->getCenterLinePath(reference_lanelets, s_start, s_end);
-    return motion_utils::findFirstNearestIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
       lane_changing_path.points, ref.points.back().point.pose, ego_nearest_dist_threshold,
       ego_nearest_yaw_threshold);
   });
 
-  const auto ego_pose_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto ego_pose_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     lane_changing_path.points, current_pose, ego_nearest_dist_threshold, ego_nearest_yaw_threshold);
 
   const auto get_abort_idx_and_distance = [&](const double param_time) {
@@ -1981,10 +1982,10 @@ bool NormalLaneChange::calcAbortPath()
     //   reference_lane_segment = terminal_path->path;
     // }
     const auto return_pose = shifted_path.path.points.at(abort_return_idx).point.pose;
-    const auto seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    const auto seg_idx = autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
       reference_lane_segment.points, return_pose, common_param.ego_nearest_dist_threshold,
       common_param.ego_nearest_yaw_threshold);
-    reference_lane_segment.points = motion_utils::cropPoints(
+    reference_lane_segment.points = autoware::motion_utils::cropPoints(
       reference_lane_segment.points, return_pose.position, seg_idx,
       common_param.forward_path_length, 0.0);
   }
@@ -2079,7 +2080,7 @@ PathSafetyStatus NormalLaneChange::isLaneChangePathSafe(
       utils::path_safety_checker::updateCollisionCheckDebugMap(
         debug_data, current_debug_data, is_safe);
       const auto & obj_pose = obj.initial_pose.pose;
-      const auto obj_polygon = tier4_autoware_utils::toPolygon2d(obj_pose, obj.shape);
+      const auto obj_polygon = autoware::universe_utils::toPolygon2d(obj_pose, obj.shape);
       path_safety_status.is_object_coming_from_rear |=
         !utils::path_safety_checker::isTargetObjectFront(
           path, current_pose, common_parameters.vehicle_info, obj_polygon);
diff --git a/planning/autoware_behavior_path_lane_change_module/src/utils/markers.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/markers.cpp
similarity index 94%
rename from planning/autoware_behavior_path_lane_change_module/src/utils/markers.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/markers.cpp
index 2306eef90e61d..9a553cf97af5c 100644
--- a/planning/autoware_behavior_path_lane_change_module/src/utils/markers.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/markers.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/marker_utils/colors.hpp"
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/colors.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
-#include <autoware_behavior_path_lane_change_module/utils/markers.hpp>
+#include <autoware/behavior_path_lane_change_module/utils/markers.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <geometry_msgs/msg/detail/pose__struct.hpp>
@@ -34,9 +34,9 @@
 
 namespace marker_utils::lane_change_markers
 {
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerScale;
 using geometry_msgs::msg::Point;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerScale;
 
 MarkerArray showAllValidLaneChangePath(const std::vector<LaneChangePath> & lanes, std::string && ns)
 {
@@ -172,7 +172,7 @@ MarkerArray createDebugMarkerArray(
 
   MarkerArray debug_marker;
   const auto add = [&debug_marker](const MarkerArray & added) {
-    tier4_autoware_utils::appendMarkerArray(added, &debug_marker);
+    autoware::universe_utils::appendMarkerArray(added, &debug_marker);
   };
 
   if (!debug_data.execution_area.points.empty()) {
diff --git a/planning/autoware_behavior_path_lane_change_module/src/utils/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/utils.cpp
similarity index 91%
rename from planning/autoware_behavior_path_lane_change_module/src/utils/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/utils.cpp
index b07d2100f210a..d989a1e6d301d 100644
--- a/planning/autoware_behavior_path_lane_change_module/src/utils/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/utils/utils.cpp
@@ -12,28 +12,28 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_lane_change_module/utils/utils.hpp"
-
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
-#include "autoware_behavior_path_lane_change_module/utils/path.hpp"
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/utils.hpp"
+
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/path.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
 
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
 
 #include <geometry_msgs/msg/detail/pose__struct.hpp>
 
@@ -58,12 +58,12 @@
 namespace autoware::behavior_path_planner::utils::lane_change
 {
 using autoware::route_handler::RouteHandler;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::ObjectClassification;
 using autoware_perception_msgs::msg::PredictedObjects;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 using lanelet::ArcCoordinates;
@@ -368,8 +368,8 @@ std::optional<LaneChangePath> constructCandidatePath(
   LaneChangePath candidate_path;
   candidate_path.info = lane_change_info;
 
-  const auto lane_change_end_idx =
-    motion_utils::findNearestIndex(shifted_path.path.points, candidate_path.info.lane_changing_end);
+  const auto lane_change_end_idx = autoware::motion_utils::findNearestIndex(
+    shifted_path.path.points, candidate_path.info.lane_changing_end);
 
   if (!lane_change_end_idx) {
     RCLCPP_DEBUG(get_logger(), "Lane change end idx not found on target path.");
@@ -385,7 +385,7 @@ std::optional<LaneChangePath> constructCandidatePath(
       continue;
     }
     const auto nearest_idx =
-      motion_utils::findNearestIndex(target_segment.points, point.point.pose);
+      autoware::motion_utils::findNearestIndex(target_segment.points, point.point.pose);
     point.lane_ids = target_segment.points.at(*nearest_idx).lane_ids;
   }
 
@@ -404,13 +404,13 @@ std::optional<LaneChangePath> constructCandidatePath(
       std::prev(prepare_segment.points.end() - 1)->point.pose;
     const auto & lane_change_start_from_shifted =
       std::next(shifted_path.path.points.begin())->point.pose;
-    const auto yaw_diff2 = std::abs(tier4_autoware_utils::normalizeRadian(
+    const auto yaw_diff2 = std::abs(autoware::universe_utils::normalizeRadian(
       tf2::getYaw(prepare_segment_second_last_point.orientation) -
       tf2::getYaw(lane_change_start_from_shifted.orientation)));
-    if (yaw_diff2 > tier4_autoware_utils::deg2rad(5.0)) {
+    if (yaw_diff2 > autoware::universe_utils::deg2rad(5.0)) {
       RCLCPP_DEBUG(
         get_logger(), "Excessive yaw difference %.3f which exceeds the 5 degrees threshold.",
-        tier4_autoware_utils::rad2deg(yaw_diff2));
+        autoware::universe_utils::rad2deg(yaw_diff2));
       return std::nullopt;
     }
   }
@@ -473,10 +473,10 @@ ShiftLine getLaneChangingShiftLine(
   shift_line.end_shift_length = shift_length;
   shift_line.start = lane_changing_start_pose;
   shift_line.end = lane_changing_end_pose;
-  shift_line.start_idx =
-    motion_utils::findNearestIndex(reference_path.points, lane_changing_start_pose.position);
-  shift_line.end_idx =
-    motion_utils::findNearestIndex(reference_path.points, lane_changing_end_pose.position);
+  shift_line.start_idx = autoware::motion_utils::findNearestIndex(
+    reference_path.points, lane_changing_start_pose.position);
+  shift_line.end_idx = autoware::motion_utils::findNearestIndex(
+    reference_path.points, lane_changing_end_pose.position);
 
   return shift_line;
 }
@@ -768,9 +768,9 @@ CandidateOutput assignToCandidate(
   CandidateOutput candidate_output;
   candidate_output.path_candidate = lane_change_path.path;
   candidate_output.lateral_shift = utils::lane_change::getLateralShift(lane_change_path);
-  candidate_output.start_distance_to_path_change = motion_utils::calcSignedArcLength(
+  candidate_output.start_distance_to_path_change = autoware::motion_utils::calcSignedArcLength(
     lane_change_path.path.points, ego_position, lane_change_path.info.shift_line.start.position);
-  candidate_output.finish_distance_to_path_change = motion_utils::calcSignedArcLength(
+  candidate_output.finish_distance_to_path_change = autoware::motion_utils::calcSignedArcLength(
     lane_change_path.path.points, ego_position, lane_change_path.info.shift_line.end.position);
 
   return candidate_output;
@@ -806,9 +806,10 @@ std::vector<PoseWithVelocityStamped> convertToPredictedPath(
   const auto & minimum_lane_changing_velocity =
     lane_change_parameters.minimum_lane_changing_velocity;
 
-  const auto nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, vehicle_pose, common_parameters.ego_nearest_dist_threshold,
-    common_parameters.ego_nearest_yaw_threshold);
+  const auto nearest_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, vehicle_pose, common_parameters.ego_nearest_dist_threshold,
+      common_parameters.ego_nearest_yaw_threshold);
 
   std::vector<PoseWithVelocityStamped> predicted_path;
   const auto vehicle_pose_frenet =
@@ -820,8 +821,8 @@ std::vector<PoseWithVelocityStamped> convertToPredictedPath(
     const double velocity =
       std::max(initial_velocity + prepare_acc * t, minimum_lane_changing_velocity);
     const double length = initial_velocity * t + 0.5 * prepare_acc * t * t;
-    const auto pose =
-      motion_utils::calcInterpolatedPose(path.points, vehicle_pose_frenet.length + length);
+    const auto pose = autoware::motion_utils::calcInterpolatedPose(
+      path.points, vehicle_pose_frenet.length + length);
     predicted_path.emplace_back(t, pose, velocity);
   }
 
@@ -835,8 +836,8 @@ std::vector<PoseWithVelocityStamped> convertToPredictedPath(
     const double velocity = lane_changing_velocity + lane_changing_acc * delta_t;
     const double length =
       lane_changing_velocity * delta_t + 0.5 * lane_changing_acc * delta_t * delta_t + offset;
-    const auto pose =
-      motion_utils::calcInterpolatedPose(path.points, vehicle_pose_frenet.length + length);
+    const auto pose = autoware::motion_utils::calcInterpolatedPose(
+      path.points, vehicle_pose_frenet.length + length);
     predicted_path.emplace_back(t, pose, velocity);
   }
 
@@ -869,7 +870,7 @@ bool isParkedObject(
 
   const auto & object_pose = object.initial_pose.pose;
   const auto object_closest_index =
-    motion_utils::findNearestIndex(path.points, object_pose.position);
+    autoware::motion_utils::findNearestIndex(path.points, object_pose.position);
   const auto object_closest_pose = path.points.at(object_closest_index).point.pose;
 
   lanelet::ConstLanelet closest_lanelet;
@@ -877,7 +878,8 @@ bool isParkedObject(
     return false;
   }
 
-  const double lat_dist = motion_utils::calcLateralOffset(path.points, object_pose.position);
+  const double lat_dist =
+    autoware::motion_utils::calcLateralOffset(path.points, object_pose.position);
   lanelet::BasicLineString2d bound;
   double center_to_bound_buffer = 0.0;
   if (lat_dist > 0.0) {
@@ -935,7 +937,7 @@ bool isParkedObject(
 
   const auto & obj_pose = object.initial_pose.pose;
   const auto & obj_shape = object.shape;
-  const auto obj_poly = tier4_autoware_utils::toPolygon2d(obj_pose, obj_shape);
+  const auto obj_poly = autoware::universe_utils::toPolygon2d(obj_pose, obj_shape);
   const auto obj_point = obj_pose.position;
 
   double max_dist_to_bound = std::numeric_limits<double>::lowest();
@@ -994,7 +996,7 @@ bool passParkedObject(
   const auto & leading_obj = objects.at(*leading_obj_idx);
   auto debug = utils::path_safety_checker::createObjectDebug(leading_obj);
   const auto leading_obj_poly =
-    tier4_autoware_utils::toPolygon2d(leading_obj.initial_pose.pose, leading_obj.shape);
+    autoware::universe_utils::toPolygon2d(leading_obj.initial_pose.pose, leading_obj.shape);
   if (leading_obj_poly.outer().empty()) {
     return false;
   }
@@ -1002,14 +1004,14 @@ bool passParkedObject(
   const auto & current_path_end = current_lane_path.points.back().point.pose.position;
   double min_dist_to_end_of_current_lane = std::numeric_limits<double>::max();
   for (const auto & point : leading_obj_poly.outer()) {
-    const auto obj_p = tier4_autoware_utils::createPoint(point.x(), point.y(), 0.0);
-    const double dist =
-      motion_utils::calcSignedArcLength(current_lane_path.points, obj_p, current_path_end);
+    const auto obj_p = autoware::universe_utils::createPoint(point.x(), point.y(), 0.0);
+    const double dist = autoware::motion_utils::calcSignedArcLength(
+      current_lane_path.points, obj_p, current_path_end);
     min_dist_to_end_of_current_lane = std::min(dist, min_dist_to_end_of_current_lane);
     if (is_goal_in_route) {
       const auto goal_pose = route_handler.getGoalPose();
-      const double dist_to_goal =
-        motion_utils::calcSignedArcLength(current_lane_path.points, obj_p, goal_pose.position);
+      const double dist_to_goal = autoware::motion_utils::calcSignedArcLength(
+        current_lane_path.points, obj_p, goal_pose.position);
       min_dist_to_end_of_current_lane = std::min(min_dist_to_end_of_current_lane, dist_to_goal);
     }
   }
@@ -1059,15 +1061,15 @@ std::optional<size_t> getLeadingStaticObjectIdx(
       continue;
     }
 
-    const double dist_back_to_obj = motion_utils::calcSignedArcLength(
+    const double dist_back_to_obj = autoware::motion_utils::calcSignedArcLength(
       path.points, path_end.point.pose.position, obj_pose.position);
     if (dist_back_to_obj > 0.0) {
       // object is not on the lane change path
       continue;
     }
 
-    const double dist_lc_start_to_obj =
-      motion_utils::calcSignedArcLength(path.points, lane_change_start.position, obj_pose.position);
+    const double dist_lc_start_to_obj = autoware::motion_utils::calcSignedArcLength(
+      path.points, lane_change_start.position, obj_pose.position);
     if (dist_lc_start_to_obj < 0.0) {
       // object is on the lane changing path or behind it. It will be detected in safety check
       continue;
@@ -1122,7 +1124,7 @@ ExtendedPredictedObject transform(
       }
       const auto obj_pose = object_recognition_utils::calcInterpolatedPose(path, t);
       if (obj_pose) {
-        const auto obj_polygon = tier4_autoware_utils::toPolygon2d(*obj_pose, object.shape);
+        const auto obj_polygon = autoware::universe_utils::toPolygon2d(*obj_pose, object.shape);
         extended_object.predicted_paths.at(i).path.emplace_back(
           t, *obj_pose, obj_vel_norm, obj_polygon);
       }
@@ -1165,7 +1167,7 @@ Polygon2d getEgoCurrentFootprint(
   const auto base_to_rear = ego_info.rear_overhang_m;
   const auto width = ego_info.vehicle_width_m;
 
-  return tier4_autoware_utils::toFootprint(ego_pose, base_to_front, base_to_rear, width);
+  return autoware::universe_utils::toFootprint(ego_pose, base_to_front, base_to_rear, width);
 }
 
 bool isWithinIntersection(
@@ -1252,10 +1254,14 @@ geometry_msgs::msg::Polygon createExecutionArea(
   const double backward_lon_offset = -base_to_rear;
   const double lat_offset = width / 2.0 + additional_lat_offset;
 
-  const auto p1 = tier4_autoware_utils::calcOffsetPose(pose, forward_lon_offset, lat_offset, 0.0);
-  const auto p2 = tier4_autoware_utils::calcOffsetPose(pose, forward_lon_offset, -lat_offset, 0.0);
-  const auto p3 = tier4_autoware_utils::calcOffsetPose(pose, backward_lon_offset, -lat_offset, 0.0);
-  const auto p4 = tier4_autoware_utils::calcOffsetPose(pose, backward_lon_offset, lat_offset, 0.0);
+  const auto p1 =
+    autoware::universe_utils::calcOffsetPose(pose, forward_lon_offset, lat_offset, 0.0);
+  const auto p2 =
+    autoware::universe_utils::calcOffsetPose(pose, forward_lon_offset, -lat_offset, 0.0);
+  const auto p3 =
+    autoware::universe_utils::calcOffsetPose(pose, backward_lon_offset, -lat_offset, 0.0);
+  const auto p4 =
+    autoware::universe_utils::calcOffsetPose(pose, backward_lon_offset, lat_offset, 0.0);
   geometry_msgs::msg::Polygon polygon;
 
   polygon.points.push_back(create_point32(p1));
diff --git a/planning/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
index 3d6987e66e07f..504de657eabda 100644
--- a/planning/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_behavior_path_planner_node_interface.cpp
@@ -13,7 +13,7 @@
 // limitations under the License.
 
 #include "ament_index_cpp/get_package_share_directory.hpp"
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 #include "autoware_planning_test_manager/autoware_planning_test_manager.hpp"
 #include "autoware_test_utils/autoware_test_utils.hpp"
 
diff --git a/planning/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp
similarity index 79%
rename from planning/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp
index 37040e0a8c275..68547a491324d 100644
--- a/planning/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_lane_change_module/test/test_lane_change_utils.cpp
@@ -11,10 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#include "autoware_behavior_path_lane_change_module/utils/data_structs.hpp"
+#include "autoware/behavior_path_lane_change_module/utils/data_structs.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
@@ -24,16 +24,16 @@ constexpr double epsilon = 1e-6;
 TEST(BehaviorPathPlanningLaneChangeUtilsTest, projectCurrentPoseToTarget)
 {
   geometry_msgs::msg::Pose ego_pose;
-  const auto ego_yaw = tier4_autoware_utils::deg2rad(0.0);
-  ego_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(ego_yaw);
-  ego_pose.position = tier4_autoware_utils::createPoint(0, 0, 0);
+  const auto ego_yaw = autoware::universe_utils::deg2rad(0.0);
+  ego_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(ego_yaw);
+  ego_pose.position = autoware::universe_utils::createPoint(0, 0, 0);
 
   geometry_msgs::msg::Pose obj_pose;
-  const auto obj_yaw = tier4_autoware_utils::deg2rad(0.0);
-  obj_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(obj_yaw);
-  obj_pose.position = tier4_autoware_utils::createPoint(-4, 3, 0);
+  const auto obj_yaw = autoware::universe_utils::deg2rad(0.0);
+  obj_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(obj_yaw);
+  obj_pose.position = autoware::universe_utils::createPoint(-4, 3, 0);
 
-  const auto result = tier4_autoware_utils::inverseTransformPose(obj_pose, ego_pose);
+  const auto result = autoware::universe_utils::inverseTransformPose(obj_pose, ego_pose);
 
   EXPECT_NEAR(result.position.x, -4, epsilon);
   EXPECT_NEAR(result.position.y, 3, epsilon);
diff --git a/planning/autoware_behavior_path_planner/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_planner/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_planner/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_planner/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_planner/README.md b/planning/behavior_path_planner/autoware_behavior_path_planner/README.md
similarity index 100%
rename from planning/autoware_behavior_path_planner/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_planner/README.md
diff --git a/planning/autoware_behavior_path_planner/config/behavior_path_planner.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_planner/config/behavior_path_planner.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_planner/config/behavior_path_planner.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_planner/config/behavior_path_planner.param.yaml
diff --git a/planning/autoware_behavior_path_planner/config/drivable_area_expansion.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_planner/config/drivable_area_expansion.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_planner/config/drivable_area_expansion.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_planner/config/drivable_area_expansion.param.yaml
diff --git a/planning/autoware_behavior_path_planner/config/scene_module_manager.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_planner/config/scene_module_manager.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_planner/config/scene_module_manager.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_planner/config/scene_module_manager.param.yaml
diff --git a/planning/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design.md b/planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design.md
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rename from planning/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design.md
rename to planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_interface_design.md
diff --git a/planning/autoware_behavior_path_planner/docs/behavior_path_planner_limitations.md b/planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_limitations.md
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rename from planning/autoware_behavior_path_planner/docs/behavior_path_planner_limitations.md
rename to planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_limitations.md
diff --git a/planning/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design.md b/planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design.md
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rename from planning/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design.md
rename to planning/behavior_path_planner/autoware_behavior_path_planner/docs/behavior_path_planner_manager_design.md
diff --git a/planning/autoware_behavior_path_planner/image/checking_module_transition.png b/planning/behavior_path_planner/autoware_behavior_path_planner/image/checking_module_transition.png
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rename from planning/autoware_behavior_path_planner/image/static_drivable_area_before_expansion.png
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/static_drivable_area_before_expansion.png
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_avoidance.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_avoidance.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_avoidance.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_avoidance.svg
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_avoidance_by_lane_change.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_avoidance_by_lane_change.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_avoidance_by_lane_change.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_avoidance_by_lane_change.svg
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_goal_planner.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_goal_planner.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_goal_planner.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_goal_planner.svg
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_lane_change.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_lane_change.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_lane_change.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_lane_change.svg
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_lane_following.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_lane_following.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_lane_following.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_lane_following.svg
diff --git a/planning/autoware_behavior_path_planner/image/supported_module_start_planner.svg b/planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_start_planner.svg
similarity index 100%
rename from planning/autoware_behavior_path_planner/image/supported_module_start_planner.svg
rename to planning/behavior_path_planner/autoware_behavior_path_planner/image/supported_module_start_planner.svg
diff --git a/planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/behavior_path_planner_node.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/behavior_path_planner_node.hpp
similarity index 74%
rename from planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/behavior_path_planner_node.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/behavior_path_planner_node.hpp
index 71e322cd4625d..3c62cc241b323 100644
--- a/planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/behavior_path_planner_node.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/behavior_path_planner_node.hpp
@@ -12,16 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
 
-#include "autoware_behavior_path_planner/planner_manager.hpp"
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "planner_manager.hpp"
 
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/operation_mode_state.hpp>
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
@@ -86,17 +87,34 @@ class BehaviorPathPlannerNode : public rclcpp::Node
   std::vector<std::string> getRunningModules();
 
 private:
-  rclcpp::Subscription<LaneletRoute>::SharedPtr route_subscriber_;
-  rclcpp::Subscription<LaneletMapBin>::SharedPtr vector_map_subscriber_;
-  rclcpp::Subscription<Odometry>::SharedPtr velocity_subscriber_;
-  rclcpp::Subscription<AccelWithCovarianceStamped>::SharedPtr acceleration_subscriber_;
-  rclcpp::Subscription<Scenario>::SharedPtr scenario_subscriber_;
-  rclcpp::Subscription<PredictedObjects>::SharedPtr perception_subscriber_;
-  rclcpp::Subscription<OccupancyGrid>::SharedPtr occupancy_grid_subscriber_;
-  rclcpp::Subscription<OccupancyGrid>::SharedPtr costmap_subscriber_;
-  rclcpp::Subscription<TrafficLightGroupArray>::SharedPtr traffic_signals_subscriber_;
-  rclcpp::Subscription<LateralOffset>::SharedPtr lateral_offset_subscriber_;
-  rclcpp::Subscription<OperationModeState>::SharedPtr operation_mode_subscriber_;
+  // subscriber
+  autoware::universe_utils::InterProcessPollingSubscriber<LaneletRoute> route_subscriber_{
+    this, "~/input/route", rclcpp::QoS{1}.transient_local()};
+  autoware::universe_utils::InterProcessPollingSubscriber<LaneletMapBin> vector_map_subscriber_{
+    this, "~/input/vector_map", rclcpp::QoS{1}.transient_local()};
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> velocity_subscriber_{
+    this, "~/input/odometry"};
+  autoware::universe_utils::InterProcessPollingSubscriber<AccelWithCovarianceStamped>
+    acceleration_subscriber_{this, "~/input/accel"};
+  autoware::universe_utils::InterProcessPollingSubscriber<Scenario> scenario_subscriber_{
+    this, "~/input/scenario"};
+  autoware::universe_utils::InterProcessPollingSubscriber<PredictedObjects> perception_subscriber_{
+    this, "~/input/perception"};
+  autoware::universe_utils::InterProcessPollingSubscriber<OccupancyGrid> occupancy_grid_subscriber_{
+    this, "~/input/occupancy_grid_map"};
+  autoware::universe_utils::InterProcessPollingSubscriber<OccupancyGrid> costmap_subscriber_{
+    this, "~/input/costmap"};
+  autoware::universe_utils::InterProcessPollingSubscriber<TrafficLightGroupArray>
+    traffic_signals_subscriber_{this, "~/input/traffic_signals"};
+  autoware::universe_utils::InterProcessPollingSubscriber<LateralOffset> lateral_offset_subscriber_{
+    this, "~/input/lateral_offset"};
+  autoware::universe_utils::InterProcessPollingSubscriber<OperationModeState>
+    operation_mode_subscriber_{
+      this, "/system/operation_mode/state", rclcpp::QoS{1}.transient_local()};
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_planning_msgs::msg::VelocityLimit>
+    external_limit_max_velocity_subscriber_{this, "/planning/scenario_planning/max_velocity"};
+
+  // publisher
   rclcpp::Publisher<PathWithLaneId>::SharedPtr path_publisher_;
   rclcpp::Publisher<TurnIndicatorsCommand>::SharedPtr turn_signal_publisher_;
   rclcpp::Publisher<HazardLightsCommand>::SharedPtr hazard_signal_publisher_;
@@ -104,31 +122,27 @@ class BehaviorPathPlannerNode : public rclcpp::Node
   rclcpp::Publisher<PoseWithUuidStamped>::SharedPtr modified_goal_publisher_;
   rclcpp::Publisher<StopReasonArray>::SharedPtr stop_reason_publisher_;
   rclcpp::Publisher<RerouteAvailability>::SharedPtr reroute_availability_publisher_;
-  rclcpp::Subscription<tier4_planning_msgs::msg::VelocityLimit>::SharedPtr
-    external_limit_max_velocity_subscriber_;
   rclcpp::TimerBase::SharedPtr timer_;
 
   std::map<std::string, rclcpp::Publisher<Path>::SharedPtr> path_candidate_publishers_;
   std::map<std::string, rclcpp::Publisher<Path>::SharedPtr> path_reference_publishers_;
 
   std::shared_ptr<PlannerData> planner_data_;
-
-  std::shared_ptr<PlannerManager> planner_manager_;
-
-  std::unique_ptr<SteeringFactorInterface> steering_factor_interface_ptr_;
-  Scenario::SharedPtr current_scenario_{nullptr};
-
+  Scenario::ConstSharedPtr current_scenario_{nullptr};
   LaneletMapBin::ConstSharedPtr map_ptr_{nullptr};
   LaneletRoute::ConstSharedPtr route_ptr_{nullptr};
   bool has_received_map_{false};
   bool has_received_route_{false};
 
+  std::shared_ptr<PlannerManager> planner_manager_;
+
+  std::unique_ptr<SteeringFactorInterface> steering_factor_interface_ptr_;
+
   std::mutex mutex_pd_;       // mutex for planner_data_
   std::mutex mutex_manager_;  // mutex for bt_manager_ or planner_manager_
-  std::mutex mutex_map_;      // mutex for has_received_map_ and map_ptr_
-  std::mutex mutex_route_;    // mutex for has_received_route_ and route_ptr_
 
   // setup
+  void takeData();
   bool isDataReady();
 
   // parameters
@@ -222,10 +236,10 @@ class BehaviorPathPlannerNode : public rclcpp::Node
     const std::shared_ptr<PathWithLaneId> & path_candidate_ptr, const bool is_ready,
     const std::shared_ptr<PlannerData> & planner_data);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER__BEHAVIOR_PATH_PLANNER_NODE_HPP_
diff --git a/planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/planner_manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/planner_manager.hpp
similarity index 93%
rename from planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/planner_manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/planner_manager.hpp
index 3e2afc2da6a95..a76284b70b7d8 100644
--- a/planning/autoware_behavior_path_planner/include/autoware_behavior_path_planner/planner_manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/include/autoware/behavior_path_planner/planner_manager.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
-#include "tier4_autoware_utils/ros/debug_publisher.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/universe_utils/ros/debug_publisher.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
 #include <pluginlib/class_loader.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -39,12 +39,12 @@
 namespace autoware::behavior_path_planner
 {
 
-using tier4_autoware_utils::StopWatch;
+using autoware::universe_utils::StopWatch;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using tier4_planning_msgs::msg::StopReasonArray;
 using SceneModulePtr = std::shared_ptr<SceneModuleInterface>;
 using SceneModuleManagerPtr = std::shared_ptr<SceneModuleManagerInterface>;
-using DebugPublisher = tier4_autoware_utils::DebugPublisher;
+using DebugPublisher = autoware::universe_utils::DebugPublisher;
 using DebugDoubleMsg = tier4_debug_msgs::msg::Float64Stamped;
 using DebugStringMsg = tier4_debug_msgs::msg::StringStamped;
 
@@ -299,6 +299,12 @@ class PlannerManager
     return result;
   }
 
+  /**
+   * @brief find and set the closest lanelet within the route to current route lanelet
+   * @param planner data.
+   */
+  void updateCurrentRouteLanelet(const std::shared_ptr<PlannerData> & data);
+
   void generateCombinedDrivableArea(
     BehaviorModuleOutput & output, const std::shared_ptr<PlannerData> & data) const;
 
@@ -307,12 +313,12 @@ class PlannerManager
    * @param planner data.
    * @return reference path.
    */
-  BehaviorModuleOutput getReferencePath(const std::shared_ptr<PlannerData> & data);
+  BehaviorModuleOutput getReferencePath(const std::shared_ptr<PlannerData> & data) const;
 
   /**
    * @brief publish the root reference path and current route lanelet
    */
-  void publishDebugRootReferencePath(const BehaviorModuleOutput & reference_path);
+  void publishDebugRootReferencePath(const BehaviorModuleOutput & reference_path) const;
 
   /**
    * @brief stop and unregister the module from manager.
@@ -471,4 +477,4 @@ class PlannerManager
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER__PLANNER_MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_planner/launch/behavior_path_planner.launch.xml b/planning/behavior_path_planner/autoware_behavior_path_planner/launch/behavior_path_planner.launch.xml
similarity index 100%
rename from planning/autoware_behavior_path_planner/launch/behavior_path_planner.launch.xml
rename to planning/behavior_path_planner/autoware_behavior_path_planner/launch/behavior_path_planner.launch.xml
diff --git a/planning/autoware_behavior_path_planner/package.xml b/planning/behavior_path_planner/autoware_behavior_path_planner/package.xml
similarity index 97%
rename from planning/autoware_behavior_path_planner/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_planner/package.xml
index 2efc32531432b..a4eeba6051b61 100644
--- a/planning/autoware_behavior_path_planner/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/package.xml
@@ -41,10 +41,12 @@
   <depend>autoware_freespace_planning_algorithms</depend>
   <depend>autoware_frenet_planner</depend>
   <depend>autoware_lane_departure_checker</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_path_sampler</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>behaviortree_cpp_v3</depend>
@@ -54,7 +56,6 @@
   <depend>libboost-dev</depend>
   <depend>libopencv-dev</depend>
   <depend>magic_enum</depend>
-  <depend>motion_utils</depend>
   <depend>object_recognition_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
@@ -65,7 +66,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp
similarity index 80%
rename from planning/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp
index d9478ab4c1e93..0e586211bc9ee 100644
--- a/planning/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/src/behavior_path_planner_node.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 
+#include <autoware/universe_utils/ros/update_param.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
 
 #include <tier4_planning_msgs/msg/path_change_module_id.hpp>
 
@@ -28,20 +28,6 @@
 #include <string>
 #include <vector>
 
-namespace
-{
-rclcpp::SubscriptionOptions createSubscriptionOptions(rclcpp::Node * node_ptr)
-{
-  rclcpp::CallbackGroup::SharedPtr callback_group =
-    node_ptr->create_callback_group(rclcpp::CallbackGroupType::MutuallyExclusive);
-
-  auto sub_opt = rclcpp::SubscriptionOptions();
-  sub_opt.callback_group = callback_group;
-
-  return sub_opt;
-}
-}  // namespace
-
 namespace autoware::behavior_path_planner
 {
 using autoware::vehicle_info_utils::VehicleInfoUtils;
@@ -78,54 +64,6 @@ BehaviorPathPlannerNode::BehaviorPathPlannerNode(const rclcpp::NodeOptions & nod
 
   bound_publisher_ = create_publisher<MarkerArray>("~/debug/bound", 1);
 
-  const auto qos_transient_local = rclcpp::QoS{1}.transient_local();
-  // subscriber
-  velocity_subscriber_ = create_subscription<Odometry>(
-    "~/input/odometry", 1, std::bind(&BehaviorPathPlannerNode::onOdometry, this, _1),
-    createSubscriptionOptions(this));
-  acceleration_subscriber_ = create_subscription<AccelWithCovarianceStamped>(
-    "~/input/accel", 1, std::bind(&BehaviorPathPlannerNode::onAcceleration, this, _1),
-    createSubscriptionOptions(this));
-  perception_subscriber_ = create_subscription<PredictedObjects>(
-    "~/input/perception", 1, std::bind(&BehaviorPathPlannerNode::onPerception, this, _1),
-    createSubscriptionOptions(this));
-  occupancy_grid_subscriber_ = create_subscription<OccupancyGrid>(
-    "~/input/occupancy_grid_map", 1, std::bind(&BehaviorPathPlannerNode::onOccupancyGrid, this, _1),
-    createSubscriptionOptions(this));
-  costmap_subscriber_ = create_subscription<OccupancyGrid>(
-    "~/input/costmap", 1, std::bind(&BehaviorPathPlannerNode::onCostMap, this, _1),
-    createSubscriptionOptions(this));
-  traffic_signals_subscriber_ =
-    this->create_subscription<autoware_perception_msgs::msg::TrafficLightGroupArray>(
-      "~/input/traffic_signals", 1, std::bind(&BehaviorPathPlannerNode::onTrafficSignals, this, _1),
-      createSubscriptionOptions(this));
-  lateral_offset_subscriber_ = this->create_subscription<LateralOffset>(
-    "~/input/lateral_offset", 1, std::bind(&BehaviorPathPlannerNode::onLateralOffset, this, _1),
-    createSubscriptionOptions(this));
-  operation_mode_subscriber_ = create_subscription<OperationModeState>(
-    "/system/operation_mode/state", qos_transient_local,
-    std::bind(&BehaviorPathPlannerNode::onOperationMode, this, _1),
-    createSubscriptionOptions(this));
-  scenario_subscriber_ = create_subscription<Scenario>(
-    "~/input/scenario", 1,
-    [this](const Scenario::ConstSharedPtr msg) {
-      current_scenario_ = std::make_shared<Scenario>(*msg);
-    },
-    createSubscriptionOptions(this));
-  external_limit_max_velocity_subscriber_ =
-    create_subscription<tier4_planning_msgs::msg::VelocityLimit>(
-      "/planning/scenario_planning/max_velocity", 1,
-      std::bind(&BehaviorPathPlannerNode::on_external_velocity_limiter, this, _1),
-      createSubscriptionOptions(this));
-
-  // route_handler
-  vector_map_subscriber_ = create_subscription<LaneletMapBin>(
-    "~/input/vector_map", qos_transient_local, std::bind(&BehaviorPathPlannerNode::onMap, this, _1),
-    createSubscriptionOptions(this));
-  route_subscriber_ = create_subscription<LaneletRoute>(
-    "~/input/route", qos_transient_local, std::bind(&BehaviorPathPlannerNode::onRoute, this, _1),
-    createSubscriptionOptions(this));
-
   {
     const std::string path_candidate_name_space = "/planning/path_candidate/";
     const std::string path_reference_name_space = "/planning/path_reference/";
@@ -176,8 +114,9 @@ BehaviorPathPlannerNode::BehaviorPathPlannerNode(const rclcpp::NodeOptions & nod
       this, get_clock(), period_ns, std::bind(&BehaviorPathPlannerNode::run, this));
   }
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 std::vector<std::string> BehaviorPathPlannerNode::getWaitingApprovalModules()
@@ -274,6 +213,100 @@ BehaviorPathPlannerParameters BehaviorPathPlannerNode::getCommonParam()
   return p;
 }
 
+void BehaviorPathPlannerNode::takeData()
+{
+  // route
+  {
+    const auto msg = route_subscriber_.takeNewData();
+    if (msg) {
+      if (msg->segments.empty()) {
+        RCLCPP_ERROR(get_logger(), "input route is empty. ignored");
+      } else {
+        route_ptr_ = msg;
+        has_received_route_ = true;
+      }
+    }
+  }
+  // map
+  {
+    const auto msg = vector_map_subscriber_.takeNewData();
+    if (msg) {
+      map_ptr_ = msg;
+      has_received_map_ = true;
+    }
+  }
+  // velocity
+  {
+    const auto msg = velocity_subscriber_.takeData();
+    if (msg) {
+      planner_data_->self_odometry = msg;
+    }
+  }
+  // acceleration
+  {
+    const auto msg = acceleration_subscriber_.takeData();
+    if (msg) {
+      planner_data_->self_acceleration = msg;
+    }
+  }
+  // scenario
+  {
+    const auto msg = scenario_subscriber_.takeData();
+    if (msg) {
+      current_scenario_ = msg;
+    }
+  }
+  // perception
+  {
+    const auto msg = perception_subscriber_.takeData();
+    if (msg) {
+      planner_data_->dynamic_object = msg;
+    }
+  }
+  // occupancy_grid
+  {
+    const auto msg = occupancy_grid_subscriber_.takeData();
+    if (msg) {
+      planner_data_->occupancy_grid = msg;
+    }
+  }
+  // costmap
+  {
+    const auto msg = costmap_subscriber_.takeData();
+    if (msg) {
+      planner_data_->costmap = msg;
+    }
+  }
+  // traffic_signal
+  {
+    const auto msg = traffic_signals_subscriber_.takeData();
+    if (msg) {
+      onTrafficSignals(msg);
+    }
+  }
+  // lateral_offset
+  {
+    const auto msg = lateral_offset_subscriber_.takeData();
+    if (msg) {
+      onLateralOffset(msg);
+    }
+  }
+  // operation_mode
+  {
+    const auto msg = operation_mode_subscriber_.takeData();
+    if (msg) {
+      planner_data_->operation_mode = msg;
+    }
+  }
+  // external_velocity_limiter
+  {
+    const auto msg = external_limit_max_velocity_subscriber_.takeData();
+    if (msg) {
+      planner_data_->external_limit_max_velocity = msg;
+    }
+  }
+}
+
 // wait until mandatory data is ready
 bool BehaviorPathPlannerNode::isDataReady()
 {
@@ -287,21 +320,17 @@ bool BehaviorPathPlannerNode::isDataReady()
   }
 
   {
-    std::lock_guard<std::mutex> lk_route(mutex_route_);
     if (!route_ptr_) {
       return missing("route");
     }
   }
 
   {
-    std::lock_guard<std::mutex> lk_map(mutex_map_);
     if (!map_ptr_) {
       return missing("map");
     }
   }
 
-  const std::lock_guard<std::mutex> lock(mutex_pd_);  // for planner_data_
-
   if (!planner_data_->dynamic_object) {
     return missing("dynamic_object");
   }
@@ -327,6 +356,8 @@ bool BehaviorPathPlannerNode::isDataReady()
 
 void BehaviorPathPlannerNode::run()
 {
+  takeData();
+
   if (!isDataReady()) {
     return;
   }
@@ -341,7 +372,6 @@ void BehaviorPathPlannerNode::run()
   // check for map update
   LaneletMapBin::ConstSharedPtr map_ptr{nullptr};
   {
-    std::lock_guard<std::mutex> lk_map(mutex_map_);  // for has_received_map_ and map_ptr_
     if (has_received_map_) {
       // Note: duplicating the shared_ptr prevents the data from being deleted by another thread!
       map_ptr = map_ptr_;
@@ -352,7 +382,6 @@ void BehaviorPathPlannerNode::run()
   // check for route update
   LaneletRoute::ConstSharedPtr route_ptr{nullptr};
   {
-    std::lock_guard<std::mutex> lk_route(mutex_route_);  // for has_received_route_ and route_ptr_
     if (has_received_route_) {
       // Note: duplicating the shared_ptr prevents the data from being deleted by another thread!
       route_ptr = route_ptr_;
@@ -389,7 +418,9 @@ void BehaviorPathPlannerNode::run()
   const auto controlled_by_autoware_autonomously =
     planner_data_->operation_mode->mode == OperationModeState::AUTONOMOUS &&
     planner_data_->operation_mode->is_autoware_control_enabled;
-  if (!controlled_by_autoware_autonomously && !planner_manager_->hasApprovedModules())
+  if (
+    !controlled_by_autoware_autonomously &&
+    !planner_manager_->hasNonAlwaysExecutableApprovedModules())
     planner_manager_->resetCurrentRouteLanelet(planner_data_);
 
   // run behavior planner
@@ -414,7 +445,7 @@ void BehaviorPathPlannerNode::run()
   const auto current_pose = planner_data_->self_odometry->pose.pose;
   if (!path->points.empty()) {
     const size_t current_seg_idx = planner_data_->findEgoSegmentIndex(path->points);
-    path->points = motion_utils::cropPoints(
+    path->points = autoware::motion_utils::cropPoints(
       path->points, current_pose.position, current_seg_idx,
       planner_data_->parameters.forward_path_length,
       planner_data_->parameters.backward_path_length +
@@ -441,7 +472,7 @@ void BehaviorPathPlannerNode::run()
   if (
     output.modified_goal &&
     /* has changed modified goal */ (
-      !planner_data_->prev_modified_goal || tier4_autoware_utils::calcDistance2d(
+      !planner_data_->prev_modified_goal || autoware::universe_utils::calcDistance2d(
                                               planner_data_->prev_modified_goal->pose.position,
                                               output.modified_goal->pose.position) > 0.01)) {
     PoseWithUuidStamped modified_goal = *(output.modified_goal);
@@ -535,27 +566,29 @@ void BehaviorPathPlannerNode::publish_turn_signal_debug_data(const TurnSignalDeb
   constexpr double scale_x = 1.0;
   constexpr double scale_y = 1.0;
   constexpr double scale_z = 1.0;
-  const auto scale = tier4_autoware_utils::createMarkerScale(scale_x, scale_y, scale_z);
-  const auto desired_section_color = tier4_autoware_utils::createMarkerColor(0.0, 1.0, 0.0, 0.999);
-  const auto required_section_color = tier4_autoware_utils::createMarkerColor(1.0, 0.0, 1.0, 0.999);
+  const auto scale = autoware::universe_utils::createMarkerScale(scale_x, scale_y, scale_z);
+  const auto desired_section_color =
+    autoware::universe_utils::createMarkerColor(0.0, 1.0, 0.0, 0.999);
+  const auto required_section_color =
+    autoware::universe_utils::createMarkerColor(1.0, 0.0, 1.0, 0.999);
 
   // intersection turn signal info
   {
     const auto & turn_signal_info = debug_data.intersection_turn_signal_info;
 
-    auto desired_start_marker = tier4_autoware_utils::createDefaultMarker(
+    auto desired_start_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "intersection_turn_signal_desired_start", 0L, Marker::SPHERE, scale,
       desired_section_color);
-    auto desired_end_marker = tier4_autoware_utils::createDefaultMarker(
+    auto desired_end_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "intersection_turn_signal_desired_end", 0L, Marker::SPHERE, scale,
       desired_section_color);
     desired_start_marker.pose = turn_signal_info.desired_start_point;
     desired_end_marker.pose = turn_signal_info.desired_end_point;
 
-    auto required_start_marker = tier4_autoware_utils::createDefaultMarker(
+    auto required_start_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "intersection_turn_signal_required_start", 0L, Marker::SPHERE, scale,
       required_section_color);
-    auto required_end_marker = tier4_autoware_utils::createDefaultMarker(
+    auto required_end_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "intersection_turn_signal_required_end", 0L, Marker::SPHERE, scale,
       required_section_color);
     required_start_marker.pose = turn_signal_info.required_start_point;
@@ -571,19 +604,19 @@ void BehaviorPathPlannerNode::publish_turn_signal_debug_data(const TurnSignalDeb
   {
     const auto & turn_signal_info = debug_data.behavior_turn_signal_info;
 
-    auto desired_start_marker = tier4_autoware_utils::createDefaultMarker(
+    auto desired_start_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "behavior_turn_signal_desired_start", 0L, Marker::CUBE, scale,
       desired_section_color);
-    auto desired_end_marker = tier4_autoware_utils::createDefaultMarker(
+    auto desired_end_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "behavior_turn_signal_desired_end", 0L, Marker::CUBE, scale,
       desired_section_color);
     desired_start_marker.pose = turn_signal_info.desired_start_point;
     desired_end_marker.pose = turn_signal_info.desired_end_point;
 
-    auto required_start_marker = tier4_autoware_utils::createDefaultMarker(
+    auto required_start_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "behavior_turn_signal_required_start", 0L, Marker::CUBE, scale,
       required_section_color);
-    auto required_end_marker = tier4_autoware_utils::createDefaultMarker(
+    auto required_end_marker = autoware::universe_utils::createDefaultMarker(
       "map", current_time, "behavior_turn_signal_required_end", 0L, Marker::CUBE, scale,
       required_section_color);
     required_start_marker.pose = turn_signal_info.required_start_point;
@@ -609,18 +642,18 @@ void BehaviorPathPlannerNode::publish_bounds(const PathWithLaneId & path)
   constexpr double color_a = 0.999;
 
   const auto current_time = path.header.stamp;
-  auto left_marker = tier4_autoware_utils::createDefaultMarker(
+  auto left_marker = autoware::universe_utils::createDefaultMarker(
     "map", current_time, "left_bound", 0L, Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(scale_x, scale_y, scale_z),
-    tier4_autoware_utils::createMarkerColor(color_r, color_g, color_b, color_a));
+    autoware::universe_utils::createMarkerScale(scale_x, scale_y, scale_z),
+    autoware::universe_utils::createMarkerColor(color_r, color_g, color_b, color_a));
   for (const auto lb : path.left_bound) {
     left_marker.points.push_back(lb);
   }
 
-  auto right_marker = tier4_autoware_utils::createDefaultMarker(
+  auto right_marker = autoware::universe_utils::createDefaultMarker(
     "map", current_time, "right_bound", 0L, Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(scale_x, scale_y, scale_z),
-    tier4_autoware_utils::createMarkerColor(color_r, color_g, color_b, color_a));
+    autoware::universe_utils::createMarkerScale(scale_x, scale_y, scale_z),
+    autoware::universe_utils::createMarkerColor(color_r, color_g, color_b, color_a));
   for (const auto rb : path.right_bound) {
     right_marker.points.push_back(rb);
   }
@@ -711,8 +744,8 @@ Path BehaviorPathPlannerNode::convertToPath(
     return output;
   }
 
-  output =
-    motion_utils::convertToPath<tier4_planning_msgs::msg::PathWithLaneId>(*path_candidate_ptr);
+  output = autoware::motion_utils::convertToPath<tier4_planning_msgs::msg::PathWithLaneId>(
+    *path_candidate_ptr);
   // header is replaced by the input one, so it is substituted again
   output.header = planner_data->route_handler->getRouteHeader();
   output.header.stamp = this->now();
@@ -765,35 +798,8 @@ bool BehaviorPathPlannerNode::keepInputPoints(
   return false;
 }
 
-void BehaviorPathPlannerNode::onOdometry(const Odometry::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->self_odometry = msg;
-}
-void BehaviorPathPlannerNode::onAcceleration(const AccelWithCovarianceStamped::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->self_acceleration = msg;
-}
-void BehaviorPathPlannerNode::onPerception(const PredictedObjects::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->dynamic_object = msg;
-}
-void BehaviorPathPlannerNode::onOccupancyGrid(const OccupancyGrid::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->occupancy_grid = msg;
-}
-void BehaviorPathPlannerNode::onCostMap(const OccupancyGrid::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->costmap = msg;
-}
 void BehaviorPathPlannerNode::onTrafficSignals(const TrafficLightGroupArray::ConstSharedPtr msg)
 {
-  std::lock_guard<std::mutex> lock(mutex_pd_);
-
   planner_data_->traffic_light_id_map.clear();
   for (const auto & signal : msg->traffic_light_groups) {
     TrafficSignalStamped traffic_signal;
@@ -802,45 +808,9 @@ void BehaviorPathPlannerNode::onTrafficSignals(const TrafficLightGroupArray::Con
     planner_data_->traffic_light_id_map[signal.traffic_light_group_id] = traffic_signal;
   }
 }
-void BehaviorPathPlannerNode::onMap(const LaneletMapBin::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_map_);
-  map_ptr_ = msg;
-  has_received_map_ = true;
-}
-void BehaviorPathPlannerNode::onRoute(const LaneletRoute::ConstSharedPtr msg)
-{
-  if (msg->segments.empty()) {
-    RCLCPP_ERROR(get_logger(), "input route is empty. ignored");
-    return;
-  }
 
-  const std::lock_guard<std::mutex> lock(mutex_route_);
-  route_ptr_ = msg;
-  has_received_route_ = true;
-}
-void BehaviorPathPlannerNode::onOperationMode(const OperationModeState::ConstSharedPtr msg)
-{
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->operation_mode = msg;
-}
-
-void BehaviorPathPlannerNode::on_external_velocity_limiter(
-  const tier4_planning_msgs::msg::VelocityLimit::ConstSharedPtr msg)
-{
-  // Note: Using this parameter during path planning might cause unexpected deceleration or jerk.
-  // Therefore, do not use it for anything other than safety checks.
-  if (!msg) {
-    return;
-  }
-
-  const std::lock_guard<std::mutex> lock(mutex_pd_);
-  planner_data_->external_limit_max_velocity = msg;
-}
 void BehaviorPathPlannerNode::onLateralOffset(const LateralOffset::ConstSharedPtr msg)
 {
-  std::lock_guard<std::mutex> lock(mutex_pd_);
-
   if (!planner_data_->lateral_offset) {
     planner_data_->lateral_offset = msg;
     return;
@@ -860,7 +830,7 @@ void BehaviorPathPlannerNode::onLateralOffset(const LateralOffset::ConstSharedPt
 SetParametersResult BehaviorPathPlannerNode::onSetParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   rcl_interfaces::msg::SetParametersResult result;
 
diff --git a/planning/autoware_behavior_path_planner/src/planner_manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner/src/planner_manager.cpp
similarity index 96%
rename from planning/autoware_behavior_path_planner/src/planner_manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/src/planner_manager.cpp
index 3f440615bdc2c..e66eec2a1e0a4 100644
--- a/planning/autoware_behavior_path_planner/src/planner_manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/src/planner_manager.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/planner_manager.hpp"
+#include "autoware/behavior_path_planner/planner_manager.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "tier4_autoware_utils/ros/debug_publisher.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/ros/debug_publisher.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 
 #include <lanelet2_extension/utility/query.hpp>
 #include <magic_enum.hpp>
@@ -113,8 +113,11 @@ BehaviorModuleOutput PlannerManager::run(const std::shared_ptr<PlannerData> & da
     const bool is_any_module_running =
       is_any_approved_module_running || is_any_candidate_module_running_or_idle;
 
+    updateCurrentRouteLanelet(data);
+
     const bool is_out_of_route = utils::isEgoOutOfRoute(
-      data->self_odometry->pose.pose, data->prev_modified_goal, data->route_handler);
+      data->self_odometry->pose.pose, current_route_lanelet_.value(), data->prev_modified_goal,
+      data->route_handler);
 
     if (!is_any_module_running && is_out_of_route) {
       BehaviorModuleOutput output = utils::createGoalAroundPath(data);
@@ -216,7 +219,7 @@ void PlannerManager::generateCombinedDrivableArea(
   const auto & di = output.drivable_area_info;
   constexpr double epsilon = 1e-3;
 
-  const auto is_driving_forward_opt = motion_utils::isDrivingForward(output.path.points);
+  const auto is_driving_forward_opt = autoware::motion_utils::isDrivingForward(output.path.points);
   const bool is_driving_forward = is_driving_forward_opt ? *is_driving_forward_opt : true;
 
   if (epsilon < std::abs(di.drivable_margin)) {
@@ -416,7 +419,7 @@ BehaviorModuleOutput PlannerManager::runKeepLastModules(
   return output;
 }
 
-BehaviorModuleOutput PlannerManager::getReferencePath(const std::shared_ptr<PlannerData> & data)
+void PlannerManager::updateCurrentRouteLanelet(const std::shared_ptr<PlannerData> & data)
 {
   const auto & route_handler = data->route_handler;
   const auto & pose = data->self_odometry->pose.pose;
@@ -426,10 +429,18 @@ BehaviorModuleOutput PlannerManager::getReferencePath(const std::shared_ptr<Plan
   const auto backward_length =
     std::max(p.backward_path_length, p.backward_path_length + extra_margin);
 
+  lanelet::ConstLanelet closest_lane{};
+
+  if (route_handler->getClosestRouteLaneletFromLanelet(
+        pose, current_route_lanelet_.value(), &closest_lane, p.ego_nearest_dist_threshold,
+        p.ego_nearest_yaw_threshold)) {
+    current_route_lanelet_ = closest_lane;
+    return;
+  }
+
   const auto lanelet_sequence = route_handler->getLaneletSequence(
     current_route_lanelet_.value(), pose, backward_length, p.forward_path_length);
 
-  lanelet::ConstLanelet closest_lane{};
   const auto could_calculate_closest_lanelet =
     lanelet::utils::query::getClosestLaneletWithConstrains(
       lanelet_sequence, pose, &closest_lane, p.ego_nearest_dist_threshold,
@@ -440,20 +451,25 @@ BehaviorModuleOutput PlannerManager::getReferencePath(const std::shared_ptr<Plan
     current_route_lanelet_ = closest_lane;
   else
     resetCurrentRouteLanelet(data);
+}
 
+BehaviorModuleOutput PlannerManager::getReferencePath(
+  const std::shared_ptr<PlannerData> & data) const
+{
   const auto reference_path = utils::getReferencePath(*current_route_lanelet_, data);
   publishDebugRootReferencePath(reference_path);
   return reference_path;
 }
 
-void PlannerManager::publishDebugRootReferencePath(const BehaviorModuleOutput & reference_path)
+void PlannerManager::publishDebugRootReferencePath(
+  const BehaviorModuleOutput & reference_path) const
 {
   using visualization_msgs::msg::Marker;
   MarkerArray array;
-  Marker m = tier4_autoware_utils::createDefaultMarker(
+  Marker m = autoware::universe_utils::createDefaultMarker(
     "map", clock_.now(), "root_reference_path", 0UL, Marker::LINE_STRIP,
-    tier4_autoware_utils::createMarkerScale(1.0, 1.0, 1.0),
-    tier4_autoware_utils::createMarkerColor(1.0, 0.0, 0.0, 1.0));
+    autoware::universe_utils::createMarkerScale(1.0, 1.0, 1.0),
+    autoware::universe_utils::createMarkerColor(1.0, 0.0, 0.0, 1.0));
   for (const auto & p : reference_path.path.points) m.points.push_back(p.point.pose.position);
   array.markers.push_back(m);
   m.points.clear();
diff --git a/planning/autoware_behavior_path_planner/test/input.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner/test/input.cpp
similarity index 100%
rename from planning/autoware_behavior_path_planner/test/input.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/test/input.cpp
diff --git a/planning/autoware_behavior_path_planner/test/input.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner/test/input.hpp
similarity index 100%
rename from planning/autoware_behavior_path_planner/test/input.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/test/input.hpp
diff --git a/planning/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp
index e70187754599a..b7d992d9254dc 100644
--- a/planning/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/test/test_autoware_behavior_path_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_planner/test/test_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner/test/test_utils.cpp
similarity index 93%
rename from planning/autoware_behavior_path_planner/test/test_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner/test/test_utils.cpp
index cda78df2e8273..da8657c82c58e 100644
--- a/planning/autoware_behavior_path_planner/test/test_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner/test/test_utils.cpp
@@ -11,14 +11,14 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
 #include "input.hpp"
 #include "lanelet2_core/Attribute.h"
 #include "lanelet2_core/geometry/LineString.h"
 #include "lanelet2_core/geometry/Point.h"
 #include "lanelet2_core/primitives/Lanelet.h"
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
 
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
@@ -34,8 +34,9 @@ TEST(BehaviorPathPlanningUtilitiesBehaviorTest, vehiclePoseToFrenetOnStraightLin
     autoware::behavior_path_planner::generateStraightSamplePathWithLaneId(0.0f, 1.0f, 10u);
   Pose vehicle_pose = autoware::behavior_path_planner::generateEgoSamplePose(10.7f, -1.7f, 0.0);
 
-  const size_t vehicle_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, vehicle_pose, 3.0, 1.0);
+  const size_t vehicle_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, vehicle_pose, 3.0, 1.0);
   const auto vehicle_pose_frenet = autoware::behavior_path_planner::utils::convertToFrenetPoint(
     path.points, vehicle_pose.position, vehicle_seg_idx);
 
@@ -49,8 +50,9 @@ TEST(BehaviorPathPlanningUtilitiesBehaviorTest, vehiclePoseToFrenetOnDiagonalLin
     autoware::behavior_path_planner::generateDiagonalSamplePathWithLaneId(0.0f, 1.0f, 10u);
   Pose vehicle_pose = autoware::behavior_path_planner::generateEgoSamplePose(0.1f, 0.1f, 0.0);
 
-  const size_t vehicle_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, vehicle_pose, 3.0, 1.0);
+  const size_t vehicle_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, vehicle_pose, 3.0, 1.0);
   const auto vehicle_pose_frenet = autoware::behavior_path_planner::utils::convertToFrenetPoint(
     path.points, vehicle_pose.position, vehicle_seg_idx);
 
diff --git a/planning/autoware_behavior_path_planner_common/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_planner_common/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_planner_common/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_drivable_area_design.md b/planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_drivable_area_design.md
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diff --git a/planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_path_generation_design.md b/planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_path_generation_design.md
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diff --git a/planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_safety_check.md b/planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_safety_check.md
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diff --git a/planning/autoware_behavior_path_planner_common/docs/behavior_path_planner_turn_signal_design.md b/planning/behavior_path_planner/autoware_behavior_path_planner_common/docs/behavior_path_planner_turn_signal_design.md
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diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/data_manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/data_manager.hpp
similarity index 93%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/data_manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/data_manager.hpp
index 214813e68fb72..0ec7841f77cfe 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/data_manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/data_manager.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/parameters.hpp"
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/behavior_path_planner_common/parameters.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <lanelet2_extension/regulatory_elements/Forward.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <rclcpp/rclcpp/clock.hpp>
@@ -102,7 +102,7 @@ struct DrivableAreaInfo
   struct Obstacle
   {
     geometry_msgs::msg::Pose pose;
-    tier4_autoware_utils::Polygon2d poly;
+    autoware::universe_utils::Polygon2d poly;
     bool is_left{true};
   };
   std::vector<DrivableLanes> drivable_lanes{};
@@ -254,7 +254,7 @@ struct PlannerData
   template <class T>
   size_t findEgoIndex(const std::vector<T> & points) const
   {
-    return motion_utils::findFirstNearestIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
       points, self_odometry->pose.pose, parameters.ego_nearest_dist_threshold,
       parameters.ego_nearest_yaw_threshold);
   }
@@ -262,7 +262,7 @@ struct PlannerData
   template <class T>
   size_t findEgoSegmentIndex(const std::vector<T> & points) const
   {
-    return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+    return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
       points, self_odometry->pose.pose, parameters.ego_nearest_dist_threshold,
       parameters.ego_nearest_yaw_threshold);
   }
@@ -270,4 +270,4 @@ struct PlannerData
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__DATA_MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_interface.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_interface.hpp
similarity index 92%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_interface.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_interface.hpp
index a9af21a34cab3..d11c3181526d2 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_interface.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_interface.hpp
@@ -12,27 +12,27 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
-
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-
-#include <autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp>
-#include <autoware_behavior_path_planner_common/turn_signal_decider.hpp>
-#include <autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp>
-#include <autoware_route_handler/route_handler.hpp>
-#include <autoware_rtc_interface/rtc_interface.hpp>
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
+
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+
+#include <autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp>
+#include <autoware/behavior_path_planner_common/turn_signal_decider.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/rtc_interface/rtc_interface.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <magic_enum.hpp>
-#include <motion_utils/marker/marker_helper.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/planning_behavior.hpp>
 #include <autoware_adapi_v1_msgs/msg/steering_factor_array.hpp>
@@ -59,11 +59,11 @@ namespace autoware::behavior_path_planner
 using autoware::objects_of_interest_marker_interface::ColorName;
 using autoware::objects_of_interest_marker_interface::ObjectsOfInterestMarkerInterface;
 using autoware::rtc_interface::RTCInterface;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::generateUUID;
 using autoware_adapi_v1_msgs::msg::PlanningBehavior;
 using autoware_adapi_v1_msgs::msg::SteeringFactor;
 using steering_factor_interface::SteeringFactorInterface;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::generateUUID;
 using tier4_planning_msgs::msg::AvoidanceDebugMsgArray;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using tier4_planning_msgs::msg::StopFactor;
@@ -146,7 +146,7 @@ class SceneModuleInterface
     updateData();
     const auto output = isWaitingApproval() ? planWaitingApproval() : plan();
     try {
-      motion_utils::validateNonEmpty(output.path.points);
+      autoware::motion_utils::validateNonEmpty(output.path.points);
     } catch (const std::exception & ex) {
       throw std::invalid_argument("[" + name_ + "]" + ex.what());
     }
@@ -566,8 +566,8 @@ class SceneModuleInterface
 
     StopFactor stop_factor;
     stop_factor.stop_pose = stop_pose_.value();
-    stop_factor.dist_to_stop_pose =
-      motion_utils::calcSignedArcLength(path.points, getEgoPosition(), stop_pose_.value().position);
+    stop_factor.dist_to_stop_pose = autoware::motion_utils::calcSignedArcLength(
+      path.points, getEgoPosition(), stop_pose_.value().position);
     stop_reason_.stop_factors.push_back(stop_factor);
   }
 
@@ -645,4 +645,4 @@ class SceneModuleInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_INTERFACE_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp
similarity index 93%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp
index bc4505710a6cc..5b9c0389e29c5 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp
@@ -13,11 +13,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
 
 #include <rclcpp/node.hpp>
 #include <rclcpp/parameter.hpp>
@@ -36,10 +36,10 @@
 namespace autoware::behavior_path_planner
 {
 
-using motion_utils::createDeadLineVirtualWallMarker;
-using motion_utils::createSlowDownVirtualWallMarker;
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::toHexString;
+using autoware::motion_utils::createDeadLineVirtualWallMarker;
+using autoware::motion_utils::createSlowDownVirtualWallMarker;
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::toHexString;
 using unique_identifier_msgs::msg::UUID;
 using SceneModulePtr = std::shared_ptr<SceneModuleInterface>;
 using SceneModuleObserver = std::weak_ptr<SceneModuleInterface>;
@@ -111,7 +111,7 @@ class SceneModuleManagerInterface
 
   void publishVirtualWall() const
   {
-    using tier4_autoware_utils::appendMarkerArray;
+    using autoware::universe_utils::appendMarkerArray;
 
     MarkerArray markers{};
 
@@ -155,7 +155,7 @@ class SceneModuleManagerInterface
 
   void publishMarker() const
   {
-    using tier4_autoware_utils::appendMarkerArray;
+    using autoware::universe_utils::appendMarkerArray;
 
     MarkerArray info_markers{};
     MarkerArray debug_markers{};
@@ -271,7 +271,7 @@ class SceneModuleManagerInterface
 protected:
   void initInterface(rclcpp::Node * node, const std::vector<std::string> & rtc_types)
   {
-    using tier4_autoware_utils::getOrDeclareParameter;
+    using autoware::universe_utils::getOrDeclareParameter;
 
     // init manager configuration
     {
@@ -348,4 +348,4 @@ class SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_MANAGER_INTERFACE_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp
similarity index 84%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp
index 384c74243fcb2..e2d5d276070ee 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
 
 #include "tier4_planning_msgs/msg/detail/avoidance_debug_msg_array__struct.hpp"
 
@@ -44,4 +44,4 @@ class SceneModuleVisitor
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__SCENE_MODULE_VISITOR_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp
similarity index 85%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp
index 31f169471cc9e..385eb2a8ad0ae 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -52,4 +52,4 @@ class SteeringFactorInterface
 
 }  // namespace steering_factor_interface
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__INTERFACE__STEERING_FACTOR_INTERFACE_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/colors.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/colors.hpp
similarity index 57%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/colors.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/colors.hpp
index ebc48f9c16cc8..f2318e9d5c1ad 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/colors.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/colors.hpp
@@ -11,10 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
 
-#include "tier4_autoware_utils/ros/marker_helper.hpp"
+#include "autoware/universe_utils/ros/marker_helper.hpp"
 
 #include "std_msgs/msg/detail/color_rgba__struct.hpp"
 
@@ -26,62 +26,62 @@ using std_msgs::msg::ColorRGBA;
 
 inline ColorRGBA red(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 0., 0., a);
+  return autoware::universe_utils::createMarkerColor(1., 0., 0., a);
 }
 
 inline ColorRGBA green(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(0., 1., 0., a);
+  return autoware::universe_utils::createMarkerColor(0., 1., 0., a);
 }
 
 inline ColorRGBA blue(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(0., 0., 1., a);
+  return autoware::universe_utils::createMarkerColor(0., 0., 1., a);
 }
 
 inline ColorRGBA yellow(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 1., 0., a);
+  return autoware::universe_utils::createMarkerColor(1., 1., 0., a);
 }
 
 inline ColorRGBA aqua(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(0., 1., 1., a);
+  return autoware::universe_utils::createMarkerColor(0., 1., 1., a);
 }
 
 inline ColorRGBA magenta(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 0., 1., a);
+  return autoware::universe_utils::createMarkerColor(1., 0., 1., a);
 }
 
 inline ColorRGBA medium_orchid(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(0.729, 0.333, 0.827, a);
+  return autoware::universe_utils::createMarkerColor(0.729, 0.333, 0.827, a);
 }
 
 inline ColorRGBA light_pink(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 0.713, 0.756, a);
+  return autoware::universe_utils::createMarkerColor(1., 0.713, 0.756, a);
 }
 
 inline ColorRGBA light_yellow(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 1., 0.878, a);
+  return autoware::universe_utils::createMarkerColor(1., 1., 0.878, a);
 }
 
 inline ColorRGBA light_steel_blue(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(0.690, 0.768, 0.870, a);
+  return autoware::universe_utils::createMarkerColor(0.690, 0.768, 0.870, a);
 }
 
 inline ColorRGBA white(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(1., 1., 1., a);
+  return autoware::universe_utils::createMarkerColor(1., 1., 1., a);
 }
 
 inline ColorRGBA grey(float a = 0.99)
 {
-  return tier4_autoware_utils::createMarkerColor(.5, .5, .5, a);
+  return autoware::universe_utils::createMarkerColor(.5, .5, .5, a);
 }
 
 inline std::vector<ColorRGBA> colors_list(float a = 0.99)
@@ -91,4 +91,4 @@ inline std::vector<ColorRGBA> colors_list(float a = 0.99)
 }
 }  // namespace marker_utils::colors
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__COLORS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/utils.hpp
similarity index 91%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/utils.hpp
index 871820489dc9c..819800281fcc5 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/marker_utils/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/marker_utils/utils.hpp
@@ -11,12 +11,12 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
 
@@ -40,6 +40,7 @@ using autoware::behavior_path_planner::utils::path_safety_checker::CollisionChec
 using autoware::behavior_path_planner::utils::path_safety_checker::CollisionCheckDebugPair;
 using autoware::behavior_path_planner::utils::path_safety_checker::ExtendedPredictedObject;
 using autoware::behavior_path_planner::utils::path_safety_checker::ExtendedPredictedObjects;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::PredictedPath;
 using geometry_msgs::msg::Point;
@@ -48,7 +49,6 @@ using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
 using geometry_msgs::msg::Vector3;
 using std_msgs::msg::ColorRGBA;
-using tier4_autoware_utils::Polygon2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
@@ -122,4 +122,4 @@ MarkerArray showFilteredObjects(
   const ColorRGBA & color, int32_t id);
 }  // namespace marker_utils
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__MARKER_UTILS__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/parameters.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/parameters.hpp
similarity index 92%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/parameters.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/parameters.hpp
index 2f14e227d05ef..bbc249f5a0daf 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/parameters.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/parameters.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
@@ -79,4 +79,4 @@ struct BehaviorPathPlannerParameters
   double base_link2rear;
 };
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__PARAMETERS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/turn_signal_decider.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/turn_signal_decider.hpp
similarity index 94%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/turn_signal_decider.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/turn_signal_decider.hpp
index 65ead4019eb1e..94ed8af3c82b4 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/turn_signal_decider.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/turn_signal_decider.hpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 
-#include <autoware_behavior_path_planner_common/parameters.hpp>
-#include <autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp>
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/behavior_path_planner_common/parameters.hpp>
+#include <autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <autoware_vehicle_msgs/msg/hazard_lights_command.hpp>
 #include <autoware_vehicle_msgs/msg/turn_indicators_command.hpp>
@@ -239,9 +239,9 @@ class TurnSignalDecider
     const ShiftedPath & path, const ShiftLine & shift_line, const lanelet::ConstLanelets & lanes,
     const autoware::vehicle_info_utils::VehicleInfo & vehicle_info) const
   {
+    using autoware::universe_utils::pose2transform;
+    using autoware::universe_utils::transformVector;
     using boost::geometry::intersects;
-    using tier4_autoware_utils::pose2transform;
-    using tier4_autoware_utils::transformVector;
 
     const auto footprint = vehicle_info.createFootprint();
     const auto start_itr = std::next(path.path.points.begin(), shift_line.start_idx);
@@ -298,4 +298,4 @@ class TurnSignalDecider
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__TURN_SIGNAL_DECIDER_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp
similarity index 91%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp
index fe7fbef64489f..2f758d1c1bd71 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 
 #include <lanelet2_core/Forward.h>
 
@@ -134,5 +134,5 @@ std::vector<double> calculate_smoothed_curvatures(
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
 
 // clang-format off
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__DRIVABLE_AREA_EXPANSION_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp
similarity index 80%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp
index f4b7e00ea45ad..c0f953578a213 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <geometry_msgs/msg/pose.hpp>
@@ -46,4 +46,4 @@ MultiPolygon2d create_object_footprints(
   const autoware_perception_msgs::msg::PredictedObjects & objects,
   const DrivableAreaExpansionParameters & params);
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__FOOTPRINTS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp
similarity index 80%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp
index bb66528ba0d3a..0a752a605ebf3 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 
 #include <lanelet2_core/LaneletMap.h>
 
@@ -41,4 +41,4 @@ SegmentRtree extract_uncrossable_segments(
 bool has_types(const lanelet::ConstLineString3d & ls, const std::vector<std::string> & types);
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__MAP_UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp
index 0355a14ddafde..651b7a0643bca 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
 
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <rclcpp/node.hpp>
@@ -126,4 +126,4 @@ struct DrivableAreaExpansionParameters
 };
 
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PARAMETERS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp
index 80b6d178b2627..9296fd22d374b 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 
 #include <interpolation/linear_interpolation.hpp>
 
@@ -181,5 +181,5 @@ inline LineString2d sub_linestring(
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
 
 // clang-format off
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_  // NOLINT
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__PATH_PROJECTION_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp
similarity index 91%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp
index 261c5c986a116..f393ec18f8a32 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
 
-#include <autoware_behavior_path_planner_common/utils/utils.hpp>
+#include <autoware/behavior_path_planner_common/utils/utils.hpp>
 
 #include <memory>
 #include <string>
@@ -103,5 +103,5 @@ std::vector<DrivableLanes> combineDrivableLanes(
 }  // namespace autoware::behavior_path_planner::utils
 
 // clang-format off
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__STATIC_DRIVABLE_AREA_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp
similarity index 74%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp
index 7021d31e58aac..afe88ac04f302 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/path_point.hpp>
@@ -36,13 +36,13 @@ using geometry_msgs::msg::Pose;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::MultiLineString2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::MultiPolygon2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
-using tier4_autoware_utils::Segment2d;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::MultiLineString2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::MultiPolygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware::universe_utils::Segment2d;
 
 using SegmentRtree = boost::geometry::index::rtree<Segment2d, boost::geometry::index::rstar<16>>;
 
@@ -71,4 +71,4 @@ struct Expansion
   std::vector<double> min_lane_widths;
 };
 }  // namespace autoware::behavior_path_planner::drivable_area_expansion
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__DRIVABLE_AREA_EXPANSION__TYPES_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp
index 91ede1013198d..fa04ff04c8e44 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <geometry_msgs/msg/pose_array.hpp>
 #include <nav_msgs/msg/occupancy_grid.hpp>
@@ -145,4 +145,4 @@ class OccupancyGridBasedCollisionDetector
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR__OCCUPANCY_GRID_BASED_COLLISION_DETECTOR_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp
similarity index 80%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp
index c2b306a4e91db..32e6f71f7157a 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 
@@ -42,4 +42,4 @@ struct StartGoalPlannerData
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__COMMON_MODULE_DATA_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp
index 739e61481ef2e..518d1108f0ee1 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/parameters.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <geometry_msgs/msg/point.hpp>
@@ -60,7 +60,7 @@ struct ParallelParkingParameters
   // pull_out
   double pull_out_velocity{0.0};
   double pull_out_lane_departure_margin{0.0};
-  double pull_out_path_interval{0.0};
+  double pull_out_arc_path_interval{0.0};
   double pull_out_max_steer_angle{0.0};
 };
 
@@ -151,5 +151,5 @@ class GeometricParallelParking
 }  // namespace autoware::behavior_path_planner
 
 // clang-format off
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__GEOMETRIC_PARALLEL_PARKING_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp
similarity index 88%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp
index 781270666f85d..e5066932df88e 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
 #include <memory>
 #include <utility>
@@ -83,4 +83,4 @@ std::pair<double, bool> calcEndArcLength(
 
 }  // namespace autoware::behavior_path_planner::utils::parking_departure
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PARKING_DEPARTURE__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp
index 4cd9361e10576..4fd6fce325f49 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_  // NOLINT
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_  // NOLINT
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -70,7 +70,7 @@ bool isCentroidWithinLanelet(const PredictedObject & object, const lanelet::Cons
 bool isPolygonOverlapLanelet(const PredictedObject & object, const lanelet::ConstLanelet & lanelet);
 
 bool isPolygonOverlapLanelet(
-  const PredictedObject & object, const tier4_autoware_utils::Polygon2d & lanelet_polygon);
+  const PredictedObject & object, const autoware::universe_utils::Polygon2d & lanelet_polygon);
 
 bool isPolygonOverlapLanelet(
   const PredictedObject & object, const lanelet::BasicPolygon2d & lanelet_polygon);
@@ -320,4 +320,6 @@ void filterObjects(std::vector<PredictedObject> & objects, Func filter)
 }
 }  // namespace autoware::behavior_path_planner::utils::path_safety_checker
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_
+// clang-format off
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__OBJECTS_FILTERING_HPP_  // NOLINT
+// clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp
index e0e01a3a9fbd6..313f9df471938 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <geometry_msgs/msg/pose.hpp>
@@ -31,10 +31,10 @@
 namespace autoware::behavior_path_planner::utils::path_safety_checker
 {
 
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObject;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
-using tier4_autoware_utils::Polygon2d;
 
 struct PoseWithVelocity
 {
@@ -239,5 +239,5 @@ using CollisionCheckDebugMap =
 }  // namespace autoware::behavior_path_planner::utils::path_safety_checker
 
 // clang-format off
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__PATH_SAFETY_CHECKER_PARAMETERS_HPP_  // NOLINT
 // clang-format on
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp
similarity index 91%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp
index 19eebff1b37ed..3f1094dfd70b6 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_path.hpp>
@@ -32,15 +32,15 @@ namespace autoware::behavior_path_planner::utils::path_safety_checker
 {
 
 using autoware::behavior_path_planner::utils::path_safety_checker::CollisionCheckDebug;
+using autoware::universe_utils::calcYawDeviation;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedPath;
 using autoware_perception_msgs::msg::Shape;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
-using tier4_autoware_utils::calcYawDeviation;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 
 bool isTargetObjectOncoming(
   const geometry_msgs::msg::Pose & vehicle_pose, const geometry_msgs::msg::Pose & object_pose,
@@ -157,4 +157,4 @@ void updateCollisionCheckDebugMap(
   CollisionCheckDebugMap & debug_map, CollisionCheckDebugPair & object_debug, bool is_safe);
 }  // namespace autoware::behavior_path_planner::utils::path_safety_checker
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SAFETY_CHECKER__SAFETY_CHECK_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp
index 33265d8cef832..8164ef659b7b1 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
 
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <rclcpp/clock.hpp>
 #include <rclcpp/logging.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <geometry_msgs/msg/point.hpp>
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
@@ -29,9 +29,9 @@
 #include <vector>
 namespace autoware::behavior_path_planner
 {
+using autoware::universe_utils::generateUUID;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::generateUUID;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using unique_identifier_msgs::msg::UUID;
@@ -248,4 +248,4 @@ class PathShifter
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_SHIFTER__PATH_SHIFTER_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_utils.hpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_utils.hpp
index c1983f92f54dd..3b06c7e03cae1 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/path_utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/path_utils.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
-#include <autoware_behavior_path_planner_common/data_manager.hpp>
-#include <autoware_behavior_path_planner_common/parameters.hpp>
-#include <autoware_freespace_planning_algorithms/abstract_algorithm.hpp>
+#include <autoware/behavior_path_planner_common/data_manager.hpp>
+#include <autoware/behavior_path_planner_common/parameters.hpp>
+#include <autoware/freespace_planning_algorithms/abstract_algorithm.hpp>
 
 #include <autoware_planning_msgs/msg/path.hpp>
 #include <autoware_vehicle_msgs/msg/turn_indicators_command.hpp>
@@ -113,4 +113,4 @@ BehaviorModuleOutput createGoalAroundPath(const std::shared_ptr<const PlannerDat
 
 }  // namespace autoware::behavior_path_planner::utils
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__PATH_UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp
similarity index 94%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp
index 133899d6a478c..ef8465988ad73 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp
@@ -11,10 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
 
-#include <autoware_behavior_path_planner_common/data_manager.hpp>
+#include <autoware/behavior_path_planner_common/data_manager.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
@@ -109,4 +109,4 @@ bool isTrafficSignalStop(
   const lanelet::ConstLanelets & lanelets, const std::shared_ptr<const PlannerData> & planner_data);
 }  // namespace autoware::behavior_path_planner::utils::traffic_light
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__TRAFFIC_LIGHT_UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/utils.hpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/utils.hpp
index e4b8020404b50..5c1eee92c2a5d 100644
--- a/planning/autoware_behavior_path_planner_common/include/autoware_behavior_path_planner_common/utils/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/utils/utils.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/object_classification.hpp>
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -47,11 +47,11 @@ using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::PredictedPath;
 
 using autoware::route_handler::RouteHandler;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::Polygon2d;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Vector3;
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::Polygon2d;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
@@ -93,9 +93,11 @@ FrenetPoint convertToFrenetPoint(
   FrenetPoint frenet_point;
 
   const double longitudinal_length =
-    motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, search_point_geom);
-  frenet_point.length = motion_utils::calcSignedArcLength(points, 0, seg_idx) + longitudinal_length;
-  frenet_point.distance = motion_utils::calcLateralOffset(points, search_point_geom, seg_idx);
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, search_point_geom);
+  frenet_point.length =
+    autoware::motion_utils::calcSignedArcLength(points, 0, seg_idx) + longitudinal_length;
+  frenet_point.distance =
+    autoware::motion_utils::calcLateralOffset(points, search_point_geom, seg_idx);
 
   return frenet_point;
 }
@@ -145,7 +147,7 @@ bool checkCollisionWithExtraStoppingMargin(
  * @return Has collision or not
  */
 bool checkCollisionBetweenPathFootprintsAndObjects(
-  const tier4_autoware_utils::LinearRing2d & vehicle_footprint, const PathWithLaneId & ego_path,
+  const autoware::universe_utils::LinearRing2d & vehicle_footprint, const PathWithLaneId & ego_path,
   const PredictedObjects & dynamic_objects, const double margin);
 
 /**
@@ -153,7 +155,7 @@ bool checkCollisionBetweenPathFootprintsAndObjects(
  * @return Has collision or not
  */
 bool checkCollisionBetweenFootprintAndObjects(
-  const tier4_autoware_utils::LinearRing2d & vehicle_footprint, const Pose & ego_pose,
+  const autoware::universe_utils::LinearRing2d & vehicle_footprint, const Pose & ego_pose,
   const PredictedObjects & dynamic_objects, const double margin);
 
 /**
@@ -231,7 +233,8 @@ bool isInLaneletWithYawThreshold(
   const double radius = 0.0);
 
 bool isEgoOutOfRoute(
-  const Pose & self_pose, const std::optional<PoseWithUuidStamped> & modified_goal,
+  const Pose & self_pose, const lanelet::ConstLanelet & closest_road_lane,
+  const std::optional<PoseWithUuidStamped> & modified_goal,
   const std::shared_ptr<RouteHandler> & route_handler);
 
 bool isEgoWithinOriginalLane(
@@ -341,13 +344,13 @@ size_t findNearestSegmentIndex(
   const double yaw_threshold)
 {
   const auto nearest_idx =
-    motion_utils::findNearestSegmentIndex(points, pose, dist_threshold, yaw_threshold);
+    autoware::motion_utils::findNearestSegmentIndex(points, pose, dist_threshold, yaw_threshold);
   if (nearest_idx) {
     return nearest_idx.value();
   }
 
-  return motion_utils::findNearestSegmentIndex(points, pose.position);
+  return autoware::motion_utils::findNearestSegmentIndex(points, pose.position);
 }
 }  // namespace autoware::behavior_path_planner::utils
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_PLANNER_COMMON__UTILS__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_planner_common/package.xml b/planning/behavior_path_planner/autoware_behavior_path_planner_common/package.xml
similarity index 97%
rename from planning/autoware_behavior_path_planner_common/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/package.xml
index 6b20027610951..46ee55c07fe09 100644
--- a/planning/autoware_behavior_path_planner_common/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/package.xml
@@ -45,21 +45,21 @@
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_freespace_planning_algorithms</depend>
   <depend>autoware_lane_departure_checker</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_objects_of_interest_marker_interface</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_rtc_interface</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
   <depend>magic_enum</depend>
-  <depend>motion_utils</depend>
   <depend>object_recognition_utils</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>traffic_light_utils</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp
similarity index 86%
rename from planning/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp
index f83c73b6a0281..454d8753b0e62 100644
--- a/planning/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/scene_module_visitor.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
 
 namespace autoware::behavior_path_planner
 {
diff --git a/planning/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp
similarity index 97%
rename from planning/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp
index a231f00d75fdc..daebfa31be311 100644
--- a/planning/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/interface/steering_factor_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/interface/steering_factor_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/steering_factor_interface.hpp"
 
 namespace steering_factor_interface
 {
diff --git a/planning/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp
similarity index 93%
rename from planning/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp
index ce2d412e590b2..8c9b4ef35d5af 100644
--- a/planning/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/marker_utils/utils.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
 
-#include "autoware_behavior_path_planner_common/marker_utils/colors.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/colors.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include <lanelet2_core/primitives/CompoundPolygon.h>
 #include <lanelet2_core/primitives/Lanelet.h>
@@ -31,13 +31,13 @@
 namespace marker_utils
 {
 using autoware::behavior_path_planner::utils::calcPathArcLengthArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using std_msgs::msg::ColorRGBA;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 void addFootprintMarker(
@@ -49,13 +49,13 @@ void addFootprintMarker(
   const double base_to_rear = vehicle_info.rear_overhang_m;
 
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, -half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, -half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, base_to_front, half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, base_to_front, half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, half_width, 0.0).position);
   marker.points.push_back(
-    tier4_autoware_utils::calcOffsetPose(pose, -base_to_rear, -half_width, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(pose, -base_to_rear, -half_width, 0.0).position);
   marker.points.push_back(marker.points.front());
 }
 
@@ -214,7 +214,7 @@ MarkerArray createShiftLengthMarkerArray(
   Marker marker = createDefaultMarker(
     "map", rclcpp::Clock{RCL_ROS_TIME}.now(), ns, 0L, Marker::LINE_STRIP,
     createMarkerScale(0.1, 0.0, 0.0), createMarkerColor(r, g, b, 0.9));
-  marker.pose.orientation = tier4_autoware_utils::createMarkerOrientation(0, 0, 0, 1.0);
+  marker.pose.orientation = autoware::universe_utils::createMarkerOrientation(0, 0, 0, 1.0);
   marker.points.reserve(shift_distance.size());
 
   for (size_t i = 0; i < shift_distance.size(); ++i) {
@@ -271,7 +271,7 @@ MarkerArray createLaneletsAreaMarkerArray(
 
       "map", current_time, ns, static_cast<int32_t>(lanelet.id()), Marker::LINE_STRIP,
       createMarkerScale(0.1, 0.0, 0.0), createMarkerColor(r, g, b, 0.999));
-    marker.pose.orientation = tier4_autoware_utils::createMarkerOrientation(0, 0, 0, 1.0);
+    marker.pose.orientation = autoware::universe_utils::createMarkerOrientation(0, 0, 0, 1.0);
 
     if (!lanelet.polygon3d().empty()) {
       marker.points.reserve(lanelet.polygon3d().size() + 1);
@@ -299,7 +299,7 @@ MarkerArray createPolygonMarkerArray(
     "map", rclcpp::Clock{RCL_ROS_TIME}.now(), ns, static_cast<int32_t>(lane_id), Marker::LINE_STRIP,
     createMarkerScale(w, 0.0, 0.0), createMarkerColor(r, g, b, 0.8));
 
-  marker.pose.orientation = tier4_autoware_utils::createMarkerOrientation(0, 0, 0, 1.0);
+  marker.pose.orientation = autoware::universe_utils::createMarkerOrientation(0, 0, 0, 1.0);
 
   if (!polygon.points.empty()) {
     marker.points.reserve(polygon.points.size() + 1);
diff --git a/planning/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp
index f3a6e91818617..73f81ce59844c 100644
--- a/planning/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/turn_signal_decider.cpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/motion_utils/constants.hpp>
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/constants.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <limits>
 #include <queue>
@@ -33,15 +33,16 @@
 
 namespace autoware::behavior_path_planner
 {
-using motion_utils::calcSignedArcLength;
+using autoware::motion_utils::calcSignedArcLength;
 
 double calc_distance(
   const PathWithLaneId & path, const Pose & current_pose, const size_t current_seg_idx,
   const Pose & input_point, const double nearest_dist_threshold, const double nearest_yaw_threshold)
 {
-  const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
-  return motion_utils::calcSignedArcLength(
+  const size_t nearest_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
+  return autoware::motion_utils::calcSignedArcLength(
     path.points, current_pose.position, current_seg_idx, input_point.position, nearest_seg_idx);
 }
 
@@ -82,8 +83,9 @@ TurnIndicatorsCommand TurnSignalDecider::getTurnSignal(
   }
 
   // Closest ego segment
-  const size_t ego_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    extended_path.points, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
+  const size_t ego_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      extended_path.points, current_pose, nearest_dist_threshold, nearest_yaw_threshold);
 
   // Get closest intersection turn signal if exists
   const auto intersection_turn_signal_info = getIntersectionTurnSignalInfo(
@@ -230,28 +232,26 @@ std::optional<TurnSignalInfo> TurnSignalDecider::getIntersectionTurnSignalInfo(
     }
 
     const size_t front_nearest_seg_idx =
-      motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
         path.points, lane_front_pose, nearest_dist_threshold, nearest_yaw_threshold);
     const size_t back_nearest_seg_idx =
-      motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
         path.points, lane_back_pose, nearest_dist_threshold, nearest_yaw_threshold);
 
     // Distance from ego vehicle front pose to front point of the lane
-    const double dist_to_front_point = motion_utils::calcSignedArcLength(
+    const double dist_to_front_point = autoware::motion_utils::calcSignedArcLength(
                                          path.points, current_pose.position, current_seg_idx,
                                          lane_front_pose.position, front_nearest_seg_idx) -
                                        base_link2front_;
 
     // Distance from ego vehicle base link to the terminal point of the lane
-    const double dist_to_back_point = motion_utils::calcSignedArcLength(
+    const double dist_to_back_point = autoware::motion_utils::calcSignedArcLength(
       path.points, current_pose.position, current_seg_idx, lane_back_pose.position,
       back_nearest_seg_idx);
 
     if (dist_to_back_point < 0.0) {
       // Vehicle is already passed this lane
-      if (desired_start_point_map_.find(lane_id) != desired_start_point_map_.end()) {
-        desired_start_point_map_.erase(lane_id);
-      }
+      desired_start_point_map_.erase(lane_id);
       continue;
     } else if (search_distance <= dist_to_front_point) {
       continue;
@@ -280,9 +280,10 @@ std::optional<TurnSignalInfo> TurnSignalDecider::getIntersectionTurnSignalInfo(
 
     const auto & turn_signal_info = signal_queue.front();
     const auto & required_end_point = turn_signal_info.required_end_point;
-    const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, required_end_point, nearest_dist_threshold, nearest_yaw_threshold);
-    const double dist_to_end_point = motion_utils::calcSignedArcLength(
+    const size_t nearest_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, required_end_point, nearest_dist_threshold, nearest_yaw_threshold);
+    const double dist_to_end_point = autoware::motion_utils::calcSignedArcLength(
       path.points, current_pose.position, current_seg_idx, required_end_point.position,
       nearest_seg_idx);
 
@@ -406,9 +407,10 @@ TurnSignalInfo TurnSignalDecider::overwrite_turn_signal(
   }
 
   const auto get_distance = [&](const Pose & input_point) {
-    const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
-    return motion_utils::calcSignedArcLength(
+    const size_t nearest_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
+    return autoware::motion_utils::calcSignedArcLength(
              path.points, current_pose.position, current_seg_idx, input_point.position,
              nearest_seg_idx) -
            base_link2front_;
@@ -432,9 +434,10 @@ TurnSignalInfo TurnSignalDecider::use_prior_turn_signal(
   const double nearest_dist_threshold, const double nearest_yaw_threshold)
 {
   const auto get_distance = [&](const Pose & input_point) {
-    const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
-    return motion_utils::calcSignedArcLength(
+    const size_t nearest_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
+    return autoware::motion_utils::calcSignedArcLength(
       path.points, current_pose.position, current_seg_idx, input_point.position, nearest_seg_idx);
   };
 
@@ -555,9 +558,9 @@ geometry_msgs::msg::Pose TurnSignalDecider::get_required_end_point(
   for (size_t i = 0; i < centerline.size(); ++i) {
     converted_centerline.at(i).position = lanelet::utils::conversion::toGeomMsgPt(centerline[i]);
   }
-  motion_utils::insertOrientation(converted_centerline, true);
+  autoware::motion_utils::insertOrientation(converted_centerline, true);
 
-  const double length = motion_utils::calcArcLength(converted_centerline);
+  const double length = autoware::motion_utils::calcArcLength(converted_centerline);
 
   // Create resampling intervals
   const double resampling_interval = 1.0;
@@ -567,20 +570,21 @@ geometry_msgs::msg::Pose TurnSignalDecider::get_required_end_point(
   }
 
   // Insert terminal point
-  if (length - resampling_arclength.back() < motion_utils::overlap_threshold) {
+  if (length - resampling_arclength.back() < autoware::motion_utils::overlap_threshold) {
     resampling_arclength.back() = length;
   } else {
     resampling_arclength.push_back(length);
   }
 
   const auto resampled_centerline =
-    motion_utils::resamplePoseVector(converted_centerline, resampling_arclength);
+    autoware::motion_utils::resamplePoseVector(converted_centerline, resampling_arclength);
 
   const double terminal_yaw = tf2::getYaw(resampled_centerline.back().orientation);
   for (size_t i = 0; i < resampled_centerline.size(); ++i) {
     const double yaw = tf2::getYaw(resampled_centerline.at(i).orientation);
-    const double yaw_diff = tier4_autoware_utils::normalizeRadian(yaw - terminal_yaw);
-    if (std::fabs(yaw_diff) < tier4_autoware_utils::deg2rad(intersection_angle_threshold_deg_)) {
+    const double yaw_diff = autoware::universe_utils::normalizeRadian(yaw - terminal_yaw);
+    if (
+      std::fabs(yaw_diff) < autoware::universe_utils::deg2rad(intersection_angle_threshold_deg_)) {
       return resampled_centerline.at(i);
     }
   }
@@ -594,9 +598,10 @@ void TurnSignalDecider::set_intersection_info(
   const double nearest_yaw_threshold)
 {
   const auto get_distance = [&](const Pose & input_point) {
-    const size_t nearest_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
-    return motion_utils::calcSignedArcLength(
+    const size_t nearest_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, input_point, nearest_dist_threshold, nearest_yaw_threshold);
+    return autoware::motion_utils::calcSignedArcLength(
       path.points, current_pose.position, current_seg_idx, input_point.position, nearest_seg_idx);
   };
 
@@ -636,9 +641,9 @@ void TurnSignalDecider::initialize_intersection_info()
 geometry_msgs::msg::Quaternion TurnSignalDecider::calc_orientation(
   const Point & src_point, const Point & dst_point)
 {
-  const double pitch = tier4_autoware_utils::calcElevationAngle(src_point, dst_point);
-  const double yaw = tier4_autoware_utils::calcAzimuthAngle(src_point, dst_point);
-  return tier4_autoware_utils::createQuaternionFromRPY(0.0, pitch, yaw);
+  const double pitch = autoware::universe_utils::calcElevationAngle(src_point, dst_point);
+  const double yaw = autoware::universe_utils::calcAzimuthAngle(src_point, dst_point);
+  return autoware::universe_utils::createQuaternionFromRPY(0.0, pitch, yaw);
 }
 
 std::pair<TurnSignalInfo, bool> TurnSignalDecider::getBehaviorTurnSignalInfo(
@@ -649,7 +654,7 @@ std::pair<TurnSignalInfo, bool> TurnSignalDecider::getBehaviorTurnSignalInfo(
   const double current_shift_length, const bool is_driving_forward, const bool egos_lane_is_shifted,
   const bool override_ego_stopped_check, const bool is_pull_out) const
 {
-  using tier4_autoware_utils::getPose;
+  using autoware::universe_utils::getPose;
 
   const auto & p = parameters;
   const auto & rh = route_handler;
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp
similarity index 89%
rename from planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp
index dd880ecb009c6..6e028cec2ed1b 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/drivable_area_expansion.cpp
@@ -12,19 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <interpolation/linear_interpolation.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <boost/geometry/strategies/strategies.hpp>
 
@@ -48,10 +48,11 @@ void reuse_previous_poses(
 {
   std::vector<Pose> cropped_poses;
   std::vector<double> cropped_curvatures;
-  const auto ego_is_behind = prev_poses.size() > 1 && motion_utils::calcLongitudinalOffsetToSegment(
-                                                        prev_poses, 0, ego_point) < 0.0;
-  const auto ego_is_far = !prev_poses.empty() &&
-                          tier4_autoware_utils::calcDistance2d(ego_point, prev_poses.front()) < 0.0;
+  const auto ego_is_behind =
+    prev_poses.size() > 1 &&
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(prev_poses, 0, ego_point) < 0.0;
+  const auto ego_is_far = !prev_poses.empty() && autoware::universe_utils::calcDistance2d(
+                                                   ego_point, prev_poses.front()) < 0.0;
   // make sure the reused points are not behind the current original drivable area
   LineString2d left_bound;
   LineString2d right_bound;
@@ -64,9 +65,9 @@ void reuse_previous_poses(
 
   if (!ego_is_behind && !ego_is_far && prev_poses.size() > 1 && !prev_poses_across_bounds) {
     const auto first_idx =
-      motion_utils::findNearestSegmentIndex(prev_poses, path.points.front().point.pose);
-    const auto deviation =
-      motion_utils::calcLateralOffset(prev_poses, path.points.front().point.pose.position);
+      autoware::motion_utils::findNearestSegmentIndex(prev_poses, path.points.front().point.pose);
+    const auto deviation = autoware::motion_utils::calcLateralOffset(
+      prev_poses, path.points.front().point.pose.position);
     if (first_idx && deviation < params.max_reuse_deviation) {
       LineString2d path_ls;
       for (const auto & p : path.points) path_ls.push_back(convert_point(p.point.pose.position));
@@ -86,27 +87,29 @@ void reuse_previous_poses(
   }
   if (cropped_poses.empty()) {
     const auto resampled_path_points =
-      motion_utils::resamplePath(path, params.resample_interval, true, true, false).points;
+      autoware::motion_utils::resamplePath(path, params.resample_interval, true, true, false)
+        .points;
     const auto cropped_path =
       params.max_path_arc_length <= 0.0
         ? resampled_path_points
-        : motion_utils::cropForwardPoints(
+        : autoware::motion_utils::cropForwardPoints(
             resampled_path_points, resampled_path_points.front().point.pose.position, 0,
             params.max_path_arc_length);
     for (const auto & p : cropped_path) cropped_poses.push_back(p.point.pose);
   } else {
-    const auto initial_arc_length = motion_utils::calcArcLength(cropped_poses);
-    const auto max_path_arc_length = motion_utils::calcArcLength(path.points);
-    const auto first_arc_length = motion_utils::calcSignedArcLength(
+    const auto initial_arc_length = autoware::motion_utils::calcArcLength(cropped_poses);
+    const auto max_path_arc_length = autoware::motion_utils::calcArcLength(path.points);
+    const auto first_arc_length = autoware::motion_utils::calcSignedArcLength(
       path.points, path.points.front().point.pose.position, cropped_poses.back().position);
     for (auto arc_length = first_arc_length + params.resample_interval;
          (params.max_path_arc_length <= 0.0 ||
           initial_arc_length + (arc_length - first_arc_length) <= params.max_path_arc_length) &&
          arc_length <= max_path_arc_length;
          arc_length += params.resample_interval)
-      cropped_poses.push_back(motion_utils::calcInterpolatedPose(path.points, arc_length));
+      cropped_poses.push_back(
+        autoware::motion_utils::calcInterpolatedPose(path.points, arc_length));
   }
-  prev_poses = motion_utils::removeOverlapPoints(cropped_poses);
+  prev_poses = autoware::motion_utils::removeOverlapPoints(cropped_poses);
   prev_curvatures = cropped_curvatures;
 }
 
@@ -161,7 +164,7 @@ void apply_arc_length_range_smoothing(
     auto arc_length = boost::geometry::distance(
       bound_projections[path_idx].point, convert_point(bound[bound_idx + 1]));
     const auto update_arc_length_and_bound_expansions = [&](auto idx) {
-      arc_length += tier4_autoware_utils::calcDistance2d(bound[idx - 1], bound[idx]);
+      arc_length += autoware::universe_utils::calcDistance2d(bound[idx - 1], bound[idx]);
       bound_expansions[idx] = std::max(bound_expansions[idx], original_expansions[bound_idx]);
     };
     for (auto up_bound_idx = bound_idx + 2; up_bound_idx < bound.size(); ++up_bound_idx) {
@@ -200,7 +203,7 @@ void apply_bound_change_rate_limit(
   if (distances.empty()) return;
   const auto apply_max_vel = [&](auto & exp, const auto from, const auto to) {
     if (exp[from] > exp[to]) {
-      const auto arc_length = tier4_autoware_utils::calcDistance2d(bound[from], bound[to]);
+      const auto arc_length = autoware::universe_utils::calcDistance2d(bound[from], bound[to]);
       const auto smoothed_dist = exp[from] - arc_length * max_rate;
       exp[to] = std::max(exp[to], smoothed_dist);
     }
@@ -284,12 +287,12 @@ void expand_bound(
   for (auto idx = 1LU; idx < bound.size(); ++idx) {
     bool is_intersecting = false;
     for (auto succ_idx = idx + 1; succ_idx < bound.size(); ++succ_idx) {
-      const auto intersection = tier4_autoware_utils::intersect(
+      const auto intersection = autoware::universe_utils::intersect(
         bound[idx - 1], bound[idx], bound[succ_idx - 1], bound[succ_idx]);
       if (
         intersection &&
-        tier4_autoware_utils::calcDistance2d(*intersection, bound[idx - 1]) < 1e-3 &&
-        tier4_autoware_utils::calcDistance2d(*intersection, bound[idx]) < 1e-3) {
+        autoware::universe_utils::calcDistance2d(*intersection, bound[idx - 1]) < 1e-3 &&
+        autoware::universe_utils::calcDistance2d(*intersection, bound[idx]) < 1e-3) {
         idx = succ_idx;
         is_intersecting = true;
       }
@@ -302,7 +305,7 @@ void expand_bound(
 std::vector<double> calculate_smoothed_curvatures(
   const std::vector<Pose> & poses, const size_t smoothing_window_size)
 {
-  const auto curvatures = motion_utils::calcCurvature(poses);
+  const auto curvatures = autoware::motion_utils::calcCurvature(poses);
   std::vector<double> smoothed_curvatures(curvatures.size());
   for (auto i = 0UL; i < curvatures.size(); ++i) {
     auto sum = 0.0;
@@ -363,7 +366,7 @@ void expand_drivable_area(
 {
   // skip if no bounds or not enough points to calculate path curvature
   if (path.points.size() < 3 || path.left_bound.empty() || path.right_bound.empty()) return;
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
   stop_watch.tic("overall");
   stop_watch.tic("preprocessing");
   const auto & params = planner_data->drivable_area_expansion_parameters;
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp
similarity index 87%
rename from planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp
index 5357df6ac1ed0..a25a33c1668fa 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/footprints.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/footprints.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/parameters.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <boost/geometry/strategies/transform/matrix_transformers.hpp>
 
@@ -37,7 +37,8 @@ Polygon2d create_footprint(const geometry_msgs::msg::Pose & pose, const Polygon2
 {
   const auto angle = tf2::getYaw(pose.orientation);
   return translate_polygon(
-    tier4_autoware_utils::rotatePolygon(base_footprint, angle), pose.position.x, pose.position.y);
+    autoware::universe_utils::rotatePolygon(base_footprint, angle), pose.position.x,
+    pose.position.y);
 }
 
 MultiPolygon2d create_object_footprints(
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp
similarity index 97%
rename from planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp
index 0dd4d901a5e72..280060334cfd4 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/map_utils.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/map_utils.hpp"
 
 #include <boost/geometry/strategies/strategies.hpp>
 
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp
similarity index 94%
rename from planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp
index 70304d4be7975..f304fff9ce450 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/drivable_area_expansion/static_drivable_area.cpp
@@ -11,17 +11,17 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <boost/geometry/algorithms/is_valid.hpp>
 
@@ -55,8 +55,8 @@ std::vector<T> removeSharpPoints(const std::vector<T> & points)
     const auto product =
       std::inner_product(vec_1to2.begin(), vec_1to2.end(), vec_3to2.begin(), 0.0);
 
-    const auto dist_1to2 = tier4_autoware_utils::calcDistance3d(p1, p2);
-    const auto dist_3to2 = tier4_autoware_utils::calcDistance3d(p3, p2);
+    const auto dist_1to2 = autoware::universe_utils::calcDistance3d(p1, p2);
+    const auto dist_3to2 = autoware::universe_utils::calcDistance3d(p3, p2);
 
     constexpr double epsilon = 1e-3;
 
@@ -82,15 +82,15 @@ template <class T>
 size_t findNearestSegmentIndexFromLateralDistance(
   const std::vector<T> & points, const geometry_msgs::msg::Point & target_point)
 {
-  using tier4_autoware_utils::calcAzimuthAngle;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::normalizeRadian;
+  using autoware::universe_utils::calcAzimuthAngle;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::normalizeRadian;
 
   std::optional<size_t> closest_idx{std::nullopt};
   double min_lateral_dist = std::numeric_limits<double>::max();
   for (size_t seg_idx = 0; seg_idx < points.size() - 1; ++seg_idx) {
     const double lon_dist =
-      motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, target_point);
+      autoware::motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, target_point);
     const double segment_length = calcDistance2d(points.at(seg_idx), points.at(seg_idx + 1));
     const double lat_dist = [&]() {
       if (lon_dist < 0.0) {
@@ -99,7 +99,7 @@ size_t findNearestSegmentIndexFromLateralDistance(
       if (segment_length < lon_dist) {
         return calcDistance2d(points.at(seg_idx + 1), target_point);
       }
-      return std::abs(motion_utils::calcLateralOffset(points, target_point, seg_idx));
+      return std::abs(autoware::motion_utils::calcLateralOffset(points, target_point, seg_idx));
     }();
     if (lat_dist < min_lateral_dist) {
       closest_idx = seg_idx;
@@ -111,7 +111,7 @@ size_t findNearestSegmentIndexFromLateralDistance(
     return *closest_idx;
   }
 
-  return motion_utils::findNearestSegmentIndex(points, target_point);
+  return autoware::motion_utils::findNearestSegmentIndex(points, target_point);
 }
 
 template <class T>
@@ -119,9 +119,9 @@ size_t findNearestSegmentIndexFromLateralDistance(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & target_point,
   const double yaw_threshold)
 {
-  using tier4_autoware_utils::calcAzimuthAngle;
-  using tier4_autoware_utils::calcDistance2d;
-  using tier4_autoware_utils::normalizeRadian;
+  using autoware::universe_utils::calcAzimuthAngle;
+  using autoware::universe_utils::calcDistance2d;
+  using autoware::universe_utils::normalizeRadian;
 
   std::optional<size_t> closest_idx{std::nullopt};
   double min_lateral_dist = std::numeric_limits<double>::max();
@@ -132,8 +132,8 @@ size_t findNearestSegmentIndexFromLateralDistance(
     if (yaw_threshold < std::abs(yaw)) {
       continue;
     }
-    const double lon_dist =
-      motion_utils::calcLongitudinalOffsetToSegment(points, seg_idx, target_point.position);
+    const double lon_dist = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+      points, seg_idx, target_point.position);
     const double segment_length = calcDistance2d(points.at(seg_idx), points.at(seg_idx + 1));
     const double lat_dist = [&]() {
       if (lon_dist < 0.0) {
@@ -142,7 +142,8 @@ size_t findNearestSegmentIndexFromLateralDistance(
       if (segment_length < lon_dist) {
         return calcDistance2d(points.at(seg_idx + 1), target_point.position);
       }
-      return std::abs(motion_utils::calcLateralOffset(points, target_point.position, seg_idx));
+      return std::abs(
+        autoware::motion_utils::calcLateralOffset(points, target_point.position, seg_idx));
     }();
     if (lat_dist < min_lateral_dist) {
       closest_idx = seg_idx;
@@ -154,7 +155,7 @@ size_t findNearestSegmentIndexFromLateralDistance(
     return *closest_idx;
   }
 
-  return motion_utils::findNearestSegmentIndex(points, target_point.position);
+  return autoware::motion_utils::findNearestSegmentIndex(points, target_point.position);
 }
 
 bool checkHasSameLane(
@@ -176,10 +177,10 @@ geometry_msgs::msg::Point calcLongitudinalOffsetStartPoint(
   const std::vector<geometry_msgs::msg::Point> & points, const geometry_msgs::msg::Pose & pose,
   const size_t nearest_segment_idx, const double offset)
 {
-  const double offset_length =
-    motion_utils::calcLongitudinalOffsetToSegment(points, nearest_segment_idx, pose.position);
-  const auto offset_point =
-    motion_utils::calcLongitudinalOffsetPoint(points, nearest_segment_idx, offset_length + offset);
+  const double offset_length = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+    points, nearest_segment_idx, pose.position);
+  const auto offset_point = autoware::motion_utils::calcLongitudinalOffsetPoint(
+    points, nearest_segment_idx, offset_length + offset);
 
   return offset_point ? offset_point.value() : points.at(nearest_segment_idx);
 }
@@ -188,10 +189,10 @@ geometry_msgs::msg::Point calcLongitudinalOffsetGoalPoint(
   const std::vector<geometry_msgs::msg::Point> & points, const geometry_msgs::msg::Pose & pose,
   const size_t nearest_segment_idx, const double offset)
 {
-  const double offset_length =
-    motion_utils::calcLongitudinalOffsetToSegment(points, nearest_segment_idx, pose.position);
-  const auto offset_point =
-    motion_utils::calcLongitudinalOffsetPoint(points, nearest_segment_idx, offset_length + offset);
+  const double offset_length = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+    points, nearest_segment_idx, pose.position);
+  const auto offset_point = autoware::motion_utils::calcLongitudinalOffsetPoint(
+    points, nearest_segment_idx, offset_length + offset);
 
   return offset_point ? offset_point.value() : points.at(nearest_segment_idx + 1);
 }
@@ -245,7 +246,7 @@ std::optional<std::pair<size_t, geometry_msgs::msg::Point>> intersectBound(
     static_cast<int>(bound.size()) - 1, static_cast<int>(std::max(seg_idx1, seg_idx2)) + 1 + 5));
   for (int i = start_idx; i < static_cast<int>(end_idx); ++i) {
     const auto intersect_point =
-      tier4_autoware_utils::intersect(p1, p2, bound.at(i), bound.at(i + 1));
+      autoware::universe_utils::intersect(p1, p2, bound.at(i), bound.at(i + 1));
     if (intersect_point) {
       std::pair<size_t, geometry_msgs::msg::Point> result;
       result.first = static_cast<size_t>(i);
@@ -261,7 +262,7 @@ double calcSquaredDistanceFromPointToSegment(
   const geometry_msgs::msg::Point & segment_end_point,
   const geometry_msgs::msg::Point & target_point)
 {
-  using tier4_autoware_utils::calcSquaredDistance2d;
+  using autoware::universe_utils::calcSquaredDistance2d;
 
   const auto & a = segment_start_point;
   const auto & b = segment_end_point;
@@ -293,10 +294,10 @@ PolygonPoint transformBoundFrenetCoordinate(
   const size_t min_dist_seg_idx = std::distance(
     dist_to_bound_segment_vec.begin(),
     std::min_element(dist_to_bound_segment_vec.begin(), dist_to_bound_segment_vec.end()));
-  const double lon_dist_to_segment =
-    motion_utils::calcLongitudinalOffsetToSegment(bound_points, min_dist_seg_idx, target_point);
+  const double lon_dist_to_segment = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+    bound_points, min_dist_seg_idx, target_point);
   const double lat_dist_to_segment =
-    motion_utils::calcLateralOffset(bound_points, target_point, min_dist_seg_idx);
+    autoware::motion_utils::calcLateralOffset(bound_points, target_point, min_dist_seg_idx);
   return PolygonPoint{target_point, min_dist_seg_idx, lon_dist_to_segment, lat_dist_to_segment};
 }
 
@@ -342,7 +343,7 @@ std::vector<PolygonPoint> generatePolygonInsideBounds(
     if (!intersection) {
       continue;
     }
-    const double lon_dist = motion_utils::calcLongitudinalOffsetToSegment(
+    const double lon_dist = autoware::motion_utils::calcLongitudinalOffsetToSegment(
       bound, intersection->first, intersection->second);
     const auto intersect_point =
       PolygonPoint{intersection->second, intersection->first, lon_dist, 0.0};
@@ -356,7 +357,6 @@ std::vector<PolygonPoint> generatePolygonInsideBounds(
     // Here is if (!is_prev_outside && is_curr_outside).
     inside_poly.push_back(prev_poly);
     inside_poly.push_back(intersect_point);
-    continue;
   }
   if (has_intersection) {
     return inside_poly;
@@ -437,7 +437,7 @@ std::vector<PolygonPoint> concatenateTwoPolygons(
     double min_dist_to_intersection = std::numeric_limits<double>::max();
     PolygonPoint closest_intersect_point;
     for (size_t i = 0; i < get_in_poly().size() - 1; ++i) {
-      const auto intersection = tier4_autoware_utils::intersect(
+      const auto intersection = autoware::universe_utils::intersect(
         get_out_poly().at(curr_idx).point, get_out_poly().at(next_idx).point,
         get_in_poly().at(i).point, get_in_poly().at(i + 1).point);
       if (!intersection) {
@@ -454,7 +454,7 @@ std::vector<PolygonPoint> concatenateTwoPolygons(
 
       const auto intersect_point = PolygonPoint{*intersection, 0, 0.0, 0.0};
       const double dist_to_intersection =
-        tier4_autoware_utils::calcDistance2d(get_out_poly().at(curr_idx).point, *intersection);
+        autoware::universe_utils::calcDistance2d(get_out_poly().at(curr_idx).point, *intersection);
       if (dist_to_intersection < min_dist_to_intersection) {
         closest_idx = i;
         min_dist_to_intersection = dist_to_intersection;
@@ -568,7 +568,7 @@ std::vector<PolygonPoint> getPolygonPointsInsideBounds(
   // add start and end points projected to bound if necessary
   if (inside_polygon.at(start_idx).lat_dist_to_bound != 0.0) {  // not on bound
     auto start_point = inside_polygon.at(start_idx);
-    const auto start_point_on_bound = motion_utils::calcLongitudinalOffsetPoint(
+    const auto start_point_on_bound = autoware::motion_utils::calcLongitudinalOffsetPoint(
       bound, start_point.bound_seg_idx, start_point.lon_dist_to_segment);
     if (start_point_on_bound) {
       start_point.point = start_point_on_bound.value();
@@ -577,7 +577,7 @@ std::vector<PolygonPoint> getPolygonPointsInsideBounds(
   }
   if (inside_polygon.at(end_idx).lat_dist_to_bound != 0.0) {  // not on bound
     auto end_point = inside_polygon.at(end_idx);
-    const auto end_point_on_bound = motion_utils::calcLongitudinalOffsetPoint(
+    const auto end_point_on_bound = autoware::motion_utils::calcLongitudinalOffsetPoint(
       bound, end_point.bound_seg_idx, end_point.lon_dist_to_segment);
     if (end_point_on_bound) {
       end_point.point = end_point_on_bound.value();
@@ -605,7 +605,7 @@ std::vector<Point> updateBoundary(
     const auto & start_poly = polygon.front();
     const auto & end_poly = polygon.back();
 
-    const double front_offset = motion_utils::calcLongitudinalOffsetToSegment(
+    const double front_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
       updated_bound, start_poly.bound_seg_idx, start_poly.point);
 
     const size_t removed_start_idx =
@@ -640,7 +640,7 @@ std::vector<Point> updateBoundary(
 
 namespace autoware::behavior_path_planner::utils
 {
-using tier4_autoware_utils::Point2d;
+using autoware::universe_utils::Point2d;
 
 std::optional<size_t> getOverlappedLaneletId(const std::vector<DrivableLanes> & lanes)
 {
@@ -852,7 +852,7 @@ void generateDrivableArea(
   PathWithLaneId & path, const double vehicle_length, const double offset,
   const bool is_driving_forward)
 {
-  using tier4_autoware_utils::calcOffsetPose;
+  using autoware::universe_utils::calcOffsetPose;
 
   // remove path points which is close to the previous point
   PathWithLaneId resampled_path{};
@@ -864,7 +864,7 @@ void generateDrivableArea(
       const auto & prev_point = resampled_path.points.back().point.pose.position;
       const auto & curr_point = path.points.at(i).point.pose.position;
       const double signed_arc_length =
-        motion_utils::calcSignedArcLength(path.points, prev_point, curr_point);
+        autoware::motion_utils::calcSignedArcLength(path.points, prev_point, curr_point);
       if (signed_arc_length > resample_interval) {
         resampled_path.points.push_back(path.points.at(i));
       }
@@ -873,7 +873,7 @@ void generateDrivableArea(
   // add last point of path if enough far from the one of resampled path
   constexpr double th_last_point_distance = 0.3;
   if (
-    tier4_autoware_utils::calcDistance2d(
+    autoware::universe_utils::calcDistance2d(
       resampled_path.points.back().point.pose.position, path.points.back().point.pose.position) >
     th_last_point_distance) {
     resampled_path.points.push_back(path.points.back());
@@ -946,7 +946,7 @@ void generateDrivableArea(
       p_line.push_back(p2);
       bool intersection_found = false;
       for (size_t j = i + 2; j < bound.size() - 1; j++) {
-        const double distance = tier4_autoware_utils::calcDistance2d(bound.at(i), bound.at(j));
+        const double distance = autoware::universe_utils::calcDistance2d(bound.at(i), bound.at(j));
         if (distance > intersection_check_distance) {
           break;
         }
@@ -1040,12 +1040,12 @@ void extractObstaclesFromDrivableArea(
     const auto & obj_pos = obstacle.pose.position;
 
     // get edge points of the object
-    const size_t nearest_path_idx =
-      motion_utils::findNearestIndex(path.points, obj_pos);  // to get z for object polygon
+    const size_t nearest_path_idx = autoware::motion_utils::findNearestIndex(
+      path.points, obj_pos);  // to get z for object polygon
     std::vector<Point> edge_points;
     for (int i = 0; i < static_cast<int>(obstacle.poly.outer().size()) - 1;
          ++i) {  // NOTE: There is a duplicated points
-      edge_points.push_back(tier4_autoware_utils::createPoint(
+      edge_points.push_back(autoware::universe_utils::createPoint(
         obstacle.poly.outer().at(i).x(), obstacle.poly.outer().at(i).y(),
         path.points.at(nearest_path_idx).point.pose.position.z));
     }
@@ -1302,12 +1302,12 @@ std::pair<std::vector<lanelet::ConstPoint3d>, bool> getBoundWithFreeSpaceAreas(
   const std::vector<lanelet::ConstPoint3d> & other_side_bound,
   const std::shared_ptr<const PlannerData> planner_data, const bool is_left)
 {
+  using autoware::universe_utils::getPose;
+  using autoware::universe_utils::pose2transform;
+  using autoware::universe_utils::transformVector;
   using lanelet::utils::to2D;
   using lanelet::utils::conversion::toGeomMsgPt;
   using lanelet::utils::conversion::toLaneletPoint;
-  using tier4_autoware_utils::getPose;
-  using tier4_autoware_utils::pose2transform;
-  using tier4_autoware_utils::transformVector;
 
   const auto & route_handler = planner_data->route_handler;
   const auto & ego_pose = planner_data->self_odometry->pose.pose;
@@ -1382,12 +1382,12 @@ std::pair<std::vector<lanelet::ConstPoint3d>, bool> getBoundWithFreeSpaceAreas(
       return bound;
     }
 
-    const auto p_offset = tier4_autoware_utils::calcOffsetPose(
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
       ego_pose, (trim_behind_bound ? -100.0 : 100.0), (is_left ? 0.1 : -0.1), 0.0);
 
     std::vector<lanelet::ConstPoint3d> ret;
     for (size_t i = 1; i < bound.size(); ++i) {
-      const auto intersect = tier4_autoware_utils::intersect(
+      const auto intersect = autoware::universe_utils::intersect(
         ego_pose.position, p_offset.position, toGeomMsgPt(bound.at(i - 1)),
         toGeomMsgPt(bound.at(i)));
 
@@ -1492,7 +1492,7 @@ std::vector<geometry_msgs::msg::Point> postProcess(
         const auto cp = lanelet::utils::conversion::toGeomMsgPt(bound_p);
         if (bound.empty()) {
           bound.push_back(cp);
-        } else if (tier4_autoware_utils::calcDistance2d(cp, bound.back()) > overlap_threshold) {
+        } else if (autoware::universe_utils::calcDistance2d(cp, bound.back()) > overlap_threshold) {
           bound.push_back(cp);
         }
       }
@@ -1557,7 +1557,7 @@ std::vector<geometry_msgs::msg::Point> postProcess(
 
   const auto start_idx = [&]() {
     const size_t current_seg_idx = planner_data->findEgoSegmentIndex(path.points);
-    const auto cropped_path_points = motion_utils::cropPoints(
+    const auto cropped_path_points = autoware::motion_utils::cropPoints(
       path.points, current_pose.position, current_seg_idx,
       planner_data->parameters.forward_path_length,
       planner_data->parameters.backward_path_length + planner_data->parameters.input_path_interval);
@@ -1596,7 +1596,8 @@ std::vector<geometry_msgs::msg::Point> postProcess(
   // Insert middle points
   for (size_t i = start_idx + 1; i <= goal_idx; ++i) {
     const auto & next_point = tmp_bound.at(i);
-    const double dist = tier4_autoware_utils::calcDistance2d(processed_bound.back(), next_point);
+    const double dist =
+      autoware::universe_utils::calcDistance2d(processed_bound.back(), next_point);
     if (dist > overlap_threshold) {
       processed_bound.push_back(next_point);
     }
@@ -1604,7 +1605,8 @@ std::vector<geometry_msgs::msg::Point> postProcess(
 
   // Insert a goal point
   if (
-    tier4_autoware_utils::calcDistance2d(processed_bound.back(), goal_point) > overlap_threshold) {
+    autoware::universe_utils::calcDistance2d(processed_bound.back(), goal_point) >
+    overlap_threshold) {
     processed_bound.push_back(goal_point);
   }
 
@@ -1618,7 +1620,7 @@ std::vector<geometry_msgs::msg::Point> calcBound(
   const bool enable_expanding_hatched_road_markings, const bool enable_expanding_intersection_areas,
   const bool enable_expanding_freespace_areas, const bool is_left, const bool is_driving_forward)
 {
-  using motion_utils::removeOverlapPoints;
+  using autoware::motion_utils::removeOverlapPoints;
 
   const auto & route_handler = planner_data->route_handler;
 
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp
index d9cadb1678cb3..e4f1919b08dbc 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
+#include "autoware/behavior_path_planner_common/utils/occupancy_grid_based_collision_detector/occupancy_grid_based_collision_detector.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 
 #include <vector>
 
 namespace autoware::behavior_path_planner
 {
-using tier4_autoware_utils::createQuaternionFromYaw;
-using tier4_autoware_utils::normalizeRadian;
-using tier4_autoware_utils::transformPose;
+using autoware::universe_utils::createQuaternionFromYaw;
+using autoware::universe_utils::normalizeRadian;
+using autoware::universe_utils::transformPose;
 
 int discretizeAngle(const double theta, const int theta_size)
 {
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp
similarity index 94%
rename from planning/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp
index f4c5b1ce36872..113b87f4c0032 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/geometric_parallel_parking.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/math/unit_conversion.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/math/unit_conversion.hpp"
 
 #include <interpolation/spline_interpolation.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
@@ -31,14 +31,14 @@
 #include <utility>
 #include <vector>
 
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::inverseTransformPoint;
+using autoware::universe_utils::normalizeRadian;
+using autoware::universe_utils::transformPose;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using lanelet::utils::getArcCoordinates;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::inverseTransformPoint;
-using tier4_autoware_utils::normalizeRadian;
-using tier4_autoware_utils::transformPose;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 namespace autoware::behavior_path_planner
@@ -70,7 +70,7 @@ PathWithLaneId GeometricParallelParking::getFullPath() const
   }
 
   PathWithLaneId filtered_path = path;
-  filtered_path.points = motion_utils::removeOverlapPoints(filtered_path.points);
+  filtered_path.points = autoware::motion_utils::removeOverlapPoints(filtered_path.points);
   return filtered_path;
 }
 
@@ -132,10 +132,10 @@ std::vector<PathWithLaneId> GeometricParallelParking::generatePullOverPaths(
   // check the continuity of straight path and arc path
   const Pose & road_path_last_pose = straight_path.points.back().point.pose;
   const Pose & arc_path_first_pose = arc_paths.front().points.front().point.pose;
-  const double yaw_diff = std::abs(tier4_autoware_utils::normalizeRadian(
+  const double yaw_diff = std::abs(autoware::universe_utils::normalizeRadian(
     tf2::getYaw(road_path_last_pose.orientation) - tf2::getYaw(arc_path_first_pose.orientation)));
   const double distance = calcDistance2d(road_path_last_pose, arc_path_first_pose);
-  if (yaw_diff > tier4_autoware_utils::deg2rad(5.0) || distance > 0.1) {
+  if (yaw_diff > autoware::universe_utils::deg2rad(5.0) || distance > 0.1) {
     return std::vector<PathWithLaneId>{};
   }
 
@@ -244,7 +244,7 @@ bool GeometricParallelParking::planPullOut(
     auto arc_paths = planOneTrial(
       *end_pose, start_pose, R_E_min_, road_lanes, shoulder_lanes, is_forward, left_side_start,
       start_pose_offset, parameters_.pull_out_lane_departure_margin,
-      parameters_.pull_out_path_interval, lane_departure_checker);
+      parameters_.pull_out_arc_path_interval, lane_departure_checker);
     if (arc_paths.empty()) {
       // not found path
       continue;
@@ -282,10 +282,10 @@ bool GeometricParallelParking::planPullOut(
     // check the continuity of straight path and arc path
     const Pose & road_path_first_pose = road_center_line_path.points.front().point.pose;
     const Pose & arc_path_last_pose = arc_paths.back().points.back().point.pose;
-    const double yaw_diff = std::abs(tier4_autoware_utils::normalizeRadian(
+    const double yaw_diff = std::abs(autoware::universe_utils::normalizeRadian(
       tf2::getYaw(road_path_first_pose.orientation) - tf2::getYaw(arc_path_last_pose.orientation)));
     const double distance = calcDistance2d(road_path_first_pose, arc_path_last_pose);
-    if (yaw_diff > tier4_autoware_utils::deg2rad(5.0) || distance > 0.1) {
+    if (yaw_diff > autoware::universe_utils::deg2rad(5.0) || distance > 0.1) {
       continue;
     }
 
@@ -299,7 +299,7 @@ bool GeometricParallelParking::planPullOut(
       paths.back().points.end(),
       road_center_line_path.points.begin() + 1,  // to avoid overlapped point
       road_center_line_path.points.end());
-    paths.back().points = motion_utils::removeOverlapPoints(paths.back().points);
+    paths.back().points = autoware::motion_utils::removeOverlapPoints(paths.back().points);
 
     // if the end point is the goal, set the velocity to 0
     if (path_terminal_is_goal) {
@@ -399,7 +399,7 @@ std::vector<PathWithLaneId> GeometricParallelParking::planOneTrial(
   // combine road and shoulder lanes
   // cut the road lanes up to start_pose to prevent unintended processing for overlapped lane
   lanelet::ConstLanelets lanes{};
-  tier4_autoware_utils::Point2d start_point2d(start_pose.position.x, start_pose.position.y);
+  autoware::universe_utils::Point2d start_point2d(start_pose.position.x, start_pose.position.y);
   for (const auto & lane : road_lanes) {
     if (boost::geometry::within(start_point2d, lane.polygon2d().basicPolygon())) {
       lanes.push_back(lane);
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp
similarity index 93%
rename from planning/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp
index 642ad10b341dd..69b0deb8c4c5d 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/parking_departure/utils.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/motion_utils/distance/distance.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/distance/distance.hpp>
 
 namespace autoware::behavior_path_planner::utils::parking_departure
 {
 
-using motion_utils::calcDecelDistWithJerkAndAccConstraints;
+using autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints;
 
 std::optional<double> calcFeasibleDecelDistance(
   std::shared_ptr<const PlannerData> planner_data, const double acc_lim, const double jerk_lim,
@@ -58,7 +58,7 @@ void modifyVelocityByDirection(
   auto pair_itr = std::begin(terminal_vel_acc_pairs);
 
   for (; path_itr != std::end(paths); ++path_itr, ++pair_itr) {
-    const auto is_driving_forward = motion_utils::isDrivingForward(path_itr->points);
+    const auto is_driving_forward = autoware::motion_utils::isDrivingForward(path_itr->points);
 
     // If the number of points in the path is less than 2, don't insert stop velocity and
     // set pairs_terminal_velocity_and_accel to 0
@@ -144,7 +144,7 @@ std::optional<PathWithLaneId> generateFeasibleStopPath(
   }
 
   // set stop point
-  const auto stop_idx = motion_utils::insertStopPoint(
+  const auto stop_idx = autoware::motion_utils::insertStopPoint(
     planner_data->self_odometry->pose.pose, *min_stop_distance, current_path.points);
 
   if (!stop_idx) {
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp
similarity index 95%
rename from planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp
index 6454800dff1f6..469be03eb905c 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/objects_filtering.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
 
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 
 #include <boost/geometry/algorithms/distance.hpp>
 
@@ -39,7 +39,7 @@ bool position_filter(
   const geometry_msgs::msg::Point & current_pose, const double forward_distance,
   const double backward_distance)
 {
-  const auto dist_ego_to_obj = motion_utils::calcSignedArcLength(
+  const auto dist_ego_to_obj = autoware::motion_utils::calcSignedArcLength(
     path_points, current_pose, object.kinematics.initial_pose_with_covariance.pose.position);
 
   return (backward_distance < dist_ego_to_obj && dist_ego_to_obj < forward_distance);
@@ -71,16 +71,16 @@ bool isPolygonOverlapLanelet(const PredictedObject & object, const lanelet::Cons
 }
 
 bool isPolygonOverlapLanelet(
-  const PredictedObject & object, const tier4_autoware_utils::Polygon2d & lanelet_polygon)
+  const PredictedObject & object, const autoware::universe_utils::Polygon2d & lanelet_polygon)
 {
-  const auto object_polygon = tier4_autoware_utils::toPolygon2d(object);
+  const auto object_polygon = autoware::universe_utils::toPolygon2d(object);
   return !boost::geometry::disjoint(lanelet_polygon, object_polygon);
 }
 
 bool isPolygonOverlapLanelet(
   const PredictedObject & object, const lanelet::BasicPolygon2d & lanelet_polygon)
 {
-  const auto object_polygon = tier4_autoware_utils::toPolygon2d(object);
+  const auto object_polygon = autoware::universe_utils::toPolygon2d(object);
   return !boost::geometry::disjoint(lanelet_polygon, object_polygon);
 }
 
@@ -273,8 +273,8 @@ std::vector<PoseWithVelocityStamped> createPredictedPath(
       length = current_velocity * t_with_delay + 0.5 * acceleration * t_with_delay * t_with_delay;
     }
 
-    const auto pose =
-      motion_utils::calcInterpolatedPose(path_points, vehicle_pose_frenet.length + length);
+    const auto pose = autoware::motion_utils::calcInterpolatedPose(
+      path_points, vehicle_pose_frenet.length + length);
     predicted_path.emplace_back(t, pose, velocity);
   }
 
@@ -315,7 +315,7 @@ ExtendedPredictedObject transform(
     for (double t = 0.0; t < safety_check_time_horizon + 1e-3; t += safety_check_time_resolution) {
       const auto obj_pose = object_recognition_utils::calcInterpolatedPose(path, t);
       if (obj_pose) {
-        const auto obj_polygon = tier4_autoware_utils::toPolygon2d(*obj_pose, object.shape);
+        const auto obj_polygon = autoware::universe_utils::toPolygon2d(*obj_pose, object.shape);
         extended_object.predicted_paths[i].path.emplace_back(
           t, *obj_pose, obj_velocity, obj_polygon);
       }
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp
similarity index 85%
rename from planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp
index 8a9415285037d..7bb8c13aa65fb 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_safety_checker/safety_check.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/ros/uuid_helper.hpp"
 #include "interpolation/linear_interpolation.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/ros/uuid_helper.hpp"
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersects.hpp>
@@ -55,13 +55,13 @@ bool isTargetObjectFront(
 {
   const double base_to_front = vehicle_info.max_longitudinal_offset_m;
   const auto ego_offset_pose =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, base_to_front, 0.0, 0.0);
+    autoware::universe_utils::calcOffsetPose(ego_pose, base_to_front, 0.0, 0.0);
 
   // check all edges in the polygon
   const auto obj_polygon_outer = obj_polygon.outer();
   for (const auto & obj_edge : obj_polygon_outer) {
-    const auto obj_point = tier4_autoware_utils::createPoint(obj_edge.x(), obj_edge.y(), 0.0);
-    if (tier4_autoware_utils::calcLongitudinalDeviation(ego_offset_pose, obj_point) > 0.0) {
+    const auto obj_point = autoware::universe_utils::createPoint(obj_edge.x(), obj_edge.y(), 0.0);
+    if (autoware::universe_utils::calcLongitudinalDeviation(ego_offset_pose, obj_point) > 0.0) {
       return true;
     }
   }
@@ -75,13 +75,13 @@ bool isTargetObjectFront(
 {
   const double base_to_front = vehicle_info.max_longitudinal_offset_m;
   const auto ego_point =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, base_to_front, 0.0, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(ego_pose, base_to_front, 0.0, 0.0).position;
 
   // check all edges in the polygon
   const auto obj_polygon_outer = obj_polygon.outer();
   for (const auto & obj_edge : obj_polygon_outer) {
-    const auto obj_point = tier4_autoware_utils::createPoint(obj_edge.x(), obj_edge.y(), 0.0);
-    if (motion_utils::isTargetPointFront(path.points, ego_point, obj_point)) {
+    const auto obj_point = autoware::universe_utils::createPoint(obj_edge.x(), obj_edge.y(), 0.0);
+    if (autoware::motion_utils::isTargetPointFront(path.points, ego_point, obj_point)) {
       return true;
     }
   }
@@ -111,13 +111,13 @@ Polygon2d createExtendedPolygon(
   }
 
   const auto p1 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, forward_lon_offset, lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(base_link_pose, forward_lon_offset, lat_offset, 0.0);
   const auto p2 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, forward_lon_offset, -lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(base_link_pose, forward_lon_offset, -lat_offset, 0.0);
   const auto p3 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, backward_lon_offset, -lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(base_link_pose, backward_lon_offset, -lat_offset, 0.0);
   const auto p4 =
-    tier4_autoware_utils::calcOffsetPose(base_link_pose, backward_lon_offset, lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(base_link_pose, backward_lon_offset, lat_offset, 0.0);
 
   Polygon2d polygon;
   appendPointToPolygon(polygon, p1.position);
@@ -125,16 +125,16 @@ Polygon2d createExtendedPolygon(
   appendPointToPolygon(polygon, p3.position);
   appendPointToPolygon(polygon, p4.position);
   appendPointToPolygon(polygon, p1.position);
-  return tier4_autoware_utils::isClockwise(polygon)
+  return autoware::universe_utils::isClockwise(polygon)
            ? polygon
-           : tier4_autoware_utils::inverseClockwise(polygon);
+           : autoware::universe_utils::inverseClockwise(polygon);
 }
 
 Polygon2d createExtendedPolygon(
   const Pose & obj_pose, const Shape & shape, const double lon_length, const double lat_margin,
   const bool is_stopped_obj, CollisionCheckDebug & debug)
 {
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(obj_pose, shape);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(obj_pose, shape);
   if (obj_polygon.outer().empty()) {
     return obj_polygon;
   }
@@ -145,8 +145,8 @@ Polygon2d createExtendedPolygon(
   double min_y = std::numeric_limits<double>::max();
   const auto obj_polygon_outer = obj_polygon.outer();
   for (const auto & polygon_p : obj_polygon_outer) {
-    const auto obj_p = tier4_autoware_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
-    const auto transformed_p = tier4_autoware_utils::inverseTransformPoint(obj_p, obj_pose);
+    const auto obj_p = autoware::universe_utils::createPoint(polygon_p.x(), polygon_p.y(), 0.0);
+    const auto transformed_p = autoware::universe_utils::inverseTransformPoint(obj_p, obj_pose);
 
     max_x = std::max(transformed_p.x, max_x);
     min_x = std::min(transformed_p.x, min_x);
@@ -168,13 +168,13 @@ Polygon2d createExtendedPolygon(
   }
 
   const auto p1 =
-    tier4_autoware_utils::calcOffsetPose(obj_pose, forward_lon_offset, left_lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(obj_pose, forward_lon_offset, left_lat_offset, 0.0);
   const auto p2 =
-    tier4_autoware_utils::calcOffsetPose(obj_pose, forward_lon_offset, right_lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(obj_pose, forward_lon_offset, right_lat_offset, 0.0);
   const auto p3 =
-    tier4_autoware_utils::calcOffsetPose(obj_pose, backward_lon_offset, right_lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(obj_pose, backward_lon_offset, right_lat_offset, 0.0);
   const auto p4 =
-    tier4_autoware_utils::calcOffsetPose(obj_pose, backward_lon_offset, left_lat_offset, 0.0);
+    autoware::universe_utils::calcOffsetPose(obj_pose, backward_lon_offset, left_lat_offset, 0.0);
 
   Polygon2d polygon;
   appendPointToPolygon(polygon, p1.position);
@@ -182,9 +182,9 @@ Polygon2d createExtendedPolygon(
   appendPointToPolygon(polygon, p3.position);
   appendPointToPolygon(polygon, p4.position);
   appendPointToPolygon(polygon, p1.position);
-  return tier4_autoware_utils::isClockwise(polygon)
+  return autoware::universe_utils::isClockwise(polygon)
            ? polygon
-           : tier4_autoware_utils::inverseClockwise(polygon);
+           : autoware::universe_utils::inverseClockwise(polygon);
 }
 
 Polygon2d createExtendedPolygonAlongPath(
@@ -208,7 +208,7 @@ Polygon2d createExtendedPolygonAlongPath(
     debug.lat_offset = lat_offset;
   }
 
-  const auto lon_offset_pose = motion_utils::calcLongitudinalOffsetPose(
+  const auto lon_offset_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
     planned_path.points, base_link_pose.position, lon_length);
   if (!lon_offset_pose.has_value()) {
     return createExtendedPolygon(
@@ -216,57 +216,57 @@ Polygon2d createExtendedPolygonAlongPath(
   }
 
   const size_t start_idx =
-    motion_utils::findNearestSegmentIndex(planned_path.points, base_link_pose.position);
-  const size_t end_idx =
-    motion_utils::findNearestSegmentIndex(planned_path.points, lon_offset_pose.value().position);
+    autoware::motion_utils::findNearestSegmentIndex(planned_path.points, base_link_pose.position);
+  const size_t end_idx = autoware::motion_utils::findNearestSegmentIndex(
+    planned_path.points, lon_offset_pose.value().position);
 
   Polygon2d polygon;
 
   {
-    const auto p_offset =
-      tier4_autoware_utils::calcOffsetPose(base_link_pose, backward_lon_offset, lat_offset, 0.0);
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
+      base_link_pose, backward_lon_offset, lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   for (size_t i = start_idx + 1; i < end_idx + 1; ++i) {
-    const auto p = tier4_autoware_utils::getPose(planned_path.points.at(i));
-    const auto p_offset = tier4_autoware_utils::calcOffsetPose(p, 0.0, lat_offset, 0.0);
+    const auto p = autoware::universe_utils::getPose(planned_path.points.at(i));
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(p, 0.0, lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   {
-    const auto p_offset =
-      tier4_autoware_utils::calcOffsetPose(lon_offset_pose.value(), base_to_front, lat_offset, 0.0);
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
+      lon_offset_pose.value(), base_to_front, lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   {
-    const auto p_offset = tier4_autoware_utils::calcOffsetPose(
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
       lon_offset_pose.value(), base_to_front, -lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   for (size_t i = end_idx; i > start_idx; --i) {
-    const auto p = tier4_autoware_utils::getPose(planned_path.points.at(i));
-    const auto p_offset = tier4_autoware_utils::calcOffsetPose(p, 0.0, -lat_offset, 0.0);
+    const auto p = autoware::universe_utils::getPose(planned_path.points.at(i));
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(p, 0.0, -lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   {
-    const auto p_offset =
-      tier4_autoware_utils::calcOffsetPose(base_link_pose, backward_lon_offset, -lat_offset, 0.0);
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
+      base_link_pose, backward_lon_offset, -lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
   {
-    const auto p_offset =
-      tier4_autoware_utils::calcOffsetPose(base_link_pose, backward_lon_offset, lat_offset, 0.0);
+    const auto p_offset = autoware::universe_utils::calcOffsetPose(
+      base_link_pose, backward_lon_offset, lat_offset, 0.0);
     appendPointToPolygon(polygon, p_offset.position);
   }
 
-  return tier4_autoware_utils::isClockwise(polygon)
+  return autoware::universe_utils::isClockwise(polygon)
            ? polygon
-           : tier4_autoware_utils::inverseClockwise(polygon);
+           : autoware::universe_utils::inverseClockwise(polygon);
 }
 
 std::vector<Polygon2d> createExtendedPolygonsFromPoseWithVelocityStamped(
@@ -283,7 +283,7 @@ std::vector<Polygon2d> createExtendedPolygonsFromPoseWithVelocityStamped(
     const double width = vehicle_info.vehicle_width_m + lat_margin * 2;
 
     const auto polygon =
-      tier4_autoware_utils::toFootprint(pose, base_to_front, base_to_rear, width);
+      autoware::universe_utils::toFootprint(pose, base_to_front, base_to_rear, width);
     polygons.push_back(polygon);
   }
 
@@ -350,7 +350,7 @@ std::optional<PoseWithVelocityStamped> calcInterpolatedPoseWithVelocity(
       const double time_step = pt.time - prev_pt.time;
       const double ratio = std::clamp(offset / time_step, 0.0, 1.0);
       const auto interpolated_pose =
-        tier4_autoware_utils::calcInterpolatedPose(prev_pt.pose, pt.pose, ratio, false);
+        autoware::universe_utils::calcInterpolatedPose(prev_pt.pose, pt.pose, ratio, false);
       const double interpolated_velocity =
         interpolation::lerp(prev_pt.velocity, pt.velocity, ratio);
       return PoseWithVelocityStamped{relative_time, interpolated_pose, interpolated_velocity};
@@ -378,7 +378,7 @@ std::optional<PoseWithVelocityAndPolygonStamped> getInterpolatedPoseWithVelocity
   const auto & velocity = interpolation_result->velocity;
 
   const auto ego_polygon =
-    tier4_autoware_utils::toFootprint(pose, base_to_front, base_to_rear, width);
+    autoware::universe_utils::toFootprint(pose, base_to_front, base_to_rear, width);
 
   return PoseWithVelocityAndPolygonStamped{current_time, pose, velocity, ego_polygon};
 }
@@ -406,7 +406,7 @@ std::optional<PoseWithVelocityAndPolygonStamped> getInterpolatedPoseWithVelocity
   const auto & pose = interpolation_result->pose;
   const auto & velocity = interpolation_result->velocity;
 
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(pose, shape);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(pose, shape);
 
   return PoseWithVelocityAndPolygonStamped{current_time, pose, velocity, obj_polygon};
 }
@@ -691,10 +691,11 @@ CollisionCheckDebugPair createObjectDebug(const ExtendedPredictedObject & obj)
 {
   CollisionCheckDebug debug;
   debug.current_obj_pose = obj.initial_pose.pose;
-  debug.extended_obj_polygon = tier4_autoware_utils::toPolygon2d(obj.initial_pose.pose, obj.shape);
+  debug.extended_obj_polygon =
+    autoware::universe_utils::toPolygon2d(obj.initial_pose.pose, obj.shape);
   debug.obj_shape = obj.shape;
   debug.current_twist = obj.initial_twist.twist;
-  return {tier4_autoware_utils::toBoostUUID(obj.uuid), debug};
+  return {autoware::universe_utils::toBoostUUID(obj.uuid), debug};
 }
 
 void updateCollisionCheckDebugMap(
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp
similarity index 98%
rename from planning/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp
index 0b21d500b164b..9572e5a92605f 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_shifter/path_shifter.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
 
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
 #include <interpolation/spline_interpolation.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
 
 #include <string>
 #include <utility>
@@ -51,10 +51,10 @@ std::string toStr(const std::vector<double> & v)
 namespace autoware::behavior_path_planner
 {
 
-using motion_utils::findNearestIndex;
-using motion_utils::insertOrientation;
-using motion_utils::removeFirstInvalidOrientationPoints;
-using motion_utils::removeOverlapPoints;
+using autoware::motion_utils::findNearestIndex;
+using autoware::motion_utils::insertOrientation;
+using autoware::motion_utils::removeFirstInvalidOrientationPoints;
+using autoware::motion_utils::removeOverlapPoints;
 
 void PathShifter::setPath(const PathWithLaneId & path)
 {
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/path_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_utils.cpp
similarity index 92%
rename from planning/autoware_behavior_path_planner_common/src/utils/path_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_utils.cpp
index e4dd9a401253f..46ca155d04daa 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/path_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/path_utils.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <interpolation/spline_interpolation.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <tf2/utils.h>
 
@@ -49,8 +49,8 @@ std::vector<double> calcPathArcLengthArray(
   out.push_back(sum);
 
   for (size_t i = bounded_start + 1; i < bounded_end; ++i) {
-    sum +=
-      tier4_autoware_utils::calcDistance2d(path.points.at(i).point, path.points.at(i - 1).point);
+    sum += autoware::universe_utils::calcDistance2d(
+      path.points.at(i).point, path.points.at(i - 1).point);
     out.push_back(sum);
   }
   return out;
@@ -98,8 +98,8 @@ PathWithLaneId resamplePathWithSpline(
   // Get lane ids that are not duplicated
   std::vector<double> s_in;
   std::unordered_set<int64_t> unique_lane_ids;
-  const auto s_vec =
-    motion_utils::calcSignedArcLengthPartialSum(transformed_path, 0, transformed_path.size());
+  const auto s_vec = autoware::motion_utils::calcSignedArcLengthPartialSum(
+    transformed_path, 0, transformed_path.size());
   for (size_t i = 0; i < path.points.size(); ++i) {
     const double s = s_vec.at(i);
     for (const auto & lane_id : path.points.at(i).lane_ids) {
@@ -129,7 +129,8 @@ PathWithLaneId resamplePathWithSpline(
   }
 
   // Insert Stop Point
-  const auto closest_stop_dist = motion_utils::calcDistanceToForwardStopPoint(transformed_path);
+  const auto closest_stop_dist =
+    autoware::motion_utils::calcDistanceToForwardStopPoint(transformed_path);
   if (closest_stop_dist) {
     const auto close_indices = find_almost_same_values(s_out, *closest_stop_dist);
     if (close_indices) {
@@ -152,7 +153,7 @@ PathWithLaneId resamplePathWithSpline(
 
   std::sort(s_out.begin(), s_out.end());
 
-  return motion_utils::resamplePath(path, s_out);
+  return autoware::motion_utils::resamplePath(path, s_out);
 }
 
 size_t getIdxByArclength(
@@ -162,7 +163,7 @@ size_t getIdxByArclength(
     throw std::runtime_error("[getIdxByArclength] path points must be > 0");
   }
 
-  using tier4_autoware_utils::calcDistance2d;
+  using autoware::universe_utils::calcDistance2d;
   double sum_length = 0.0;
   if (signed_arc >= 0.0) {
     for (size_t i = target_idx; i < path.points.size() - 1; ++i) {
@@ -184,7 +185,7 @@ size_t getIdxByArclength(
   return 0;
 }
 
-// TODO(murooka) This function should be replaced with motion_utils::cropPoints
+// TODO(murooka) This function should be replaced with autoware::motion_utils::cropPoints
 void clipPathLength(
   PathWithLaneId & path, const size_t target_idx, const double forward, const double backward)
 {
@@ -201,7 +202,7 @@ void clipPathLength(
   path.points = clipped_points;
 }
 
-// TODO(murooka) This function should be replaced with motion_utils::cropPoints
+// TODO(murooka) This function should be replaced with autoware::motion_utils::cropPoints
 void clipPathLength(
   PathWithLaneId & path, const size_t target_idx, const BehaviorPathPlannerParameters & params)
 {
@@ -411,7 +412,7 @@ std::vector<PathWithLaneId> dividePath(
 void correctDividedPathVelocity(std::vector<PathWithLaneId> & divided_paths)
 {
   for (auto & path : divided_paths) {
-    const auto is_driving_forward = motion_utils::isDrivingForward(path.points);
+    const auto is_driving_forward = autoware::motion_utils::isDrivingForward(path.points);
     // If the number of points in the path is less than 2, don't correct the velocity
     if (!is_driving_forward) {
       continue;
@@ -471,7 +472,7 @@ std::vector<Pose> interpolatePose(
   std::vector<Pose> interpolated_poses{};  // output
 
   const std::vector<double> base_s{
-    0, tier4_autoware_utils::calcDistance2d(start_pose.position, end_pose.position)};
+    0, autoware::universe_utils::calcDistance2d(start_pose.position, end_pose.position)};
   const std::vector<double> base_x{start_pose.position.x, end_pose.position.x};
   const std::vector<double> base_y{start_pose.position.y, end_pose.position.y};
   std::vector<double> new_s;
@@ -489,7 +490,7 @@ std::vector<Pose> interpolatePose(
     std::sin(tf2::getYaw(end_pose.orientation)), new_s);
   for (size_t i = 0; i < interpolated_x.size(); ++i) {
     Pose pose{};
-    pose = tier4_autoware_utils::calcInterpolatedPose(
+    pose = autoware::universe_utils::calcInterpolatedPose(
       end_pose, start_pose, (base_s.back() - new_s.at(i)) / base_s.back());
     pose.position.x = interpolated_x.at(i);
     pose.position.y = interpolated_y.at(i);
@@ -507,13 +508,15 @@ Pose getUnshiftedEgoPose(const Pose & ego_pose, const ShiftedPath & prev_path)
   }
 
   // un-shifted for current ideal pose
-  const auto closest_idx = motion_utils::findNearestIndex(prev_path.path.points, ego_pose.position);
+  const auto closest_idx =
+    autoware::motion_utils::findNearestIndex(prev_path.path.points, ego_pose.position);
 
   // NOTE: Considering avoidance by motion, we set unshifted_pose as previous path instead of
   // ego_pose.
-  auto unshifted_pose = motion_utils::calcInterpolatedPoint(prev_path.path, ego_pose).point.pose;
+  auto unshifted_pose =
+    autoware::motion_utils::calcInterpolatedPoint(prev_path.path, ego_pose).point.pose;
 
-  unshifted_pose = tier4_autoware_utils::calcOffsetPose(
+  unshifted_pose = autoware::universe_utils::calcOffsetPose(
     unshifted_pose, 0.0, -prev_path.shift_length.at(closest_idx), 0.0);
   unshifted_pose.orientation = ego_pose.orientation;
 
@@ -571,7 +574,7 @@ PathWithLaneId combinePath(const PathWithLaneId & path1, const PathWithLaneId &
   path.points.insert(path.points.end(), next(path2.points.begin()), path2.points.end());
 
   PathWithLaneId filtered_path = path;
-  filtered_path.points = motion_utils::removeOverlapPoints(filtered_path.points);
+  filtered_path.points = autoware::motion_utils::removeOverlapPoints(filtered_path.points);
   return filtered_path;
 }
 
@@ -612,10 +615,11 @@ BehaviorModuleOutput getReferencePath(
   // clip backward length
   // NOTE: In order to keep backward_path_length at least, resampling interval is added to the
   // backward.
-  const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    reference_path.points, no_shift_pose, p.ego_nearest_dist_threshold,
-    p.ego_nearest_yaw_threshold);
-  reference_path.points = motion_utils::cropPoints(
+  const size_t current_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      reference_path.points, no_shift_pose, p.ego_nearest_dist_threshold,
+      p.ego_nearest_yaw_threshold);
+  reference_path.points = autoware::motion_utils::cropPoints(
     reference_path.points, no_shift_pose.position, current_seg_idx, p.forward_path_length,
     p.backward_path_length + p.input_path_interval);
 
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp
similarity index 94%
rename from planning/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp
index babcbefecbdeb..40802558c0b38 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/traffic_light_utils.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <traffic_light_utils/traffic_light_utils.hpp>
 
 namespace autoware::behavior_path_planner::utils::traffic_light
 {
-using motion_utils::calcSignedArcLength;
+using autoware::motion_utils::calcSignedArcLength;
 
 double getDistanceToNextTrafficLight(
   const Pose & current_pose, const lanelet::ConstLanelets & lanelets)
@@ -98,7 +98,8 @@ std::optional<double> calcDistanceToRedTrafficLight(
       const auto y = 0.5 * (stop_line.front().y() + stop_line.back().y());
       const auto z = 0.5 * (stop_line.front().z() + stop_line.back().z());
 
-      return calcSignedArcLength(path.points, ego_pos, tier4_autoware_utils::createPoint(x, y, z));
+      return calcSignedArcLength(
+        path.points, ego_pos, autoware::universe_utils::createPoint(x, y, z));
     }
   }
 
diff --git a/planning/autoware_behavior_path_planner_common/src/utils/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/utils.cpp
similarity index 90%
rename from planning/autoware_behavior_path_planner_common/src/utils/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/utils.cpp
index 4610f7584ea29..55a6c6ff39d30 100644
--- a/planning/autoware_behavior_path_planner_common/src/utils/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/utils.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
 #include "object_recognition_utils/predicted_path_utils.hpp"
 
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <boost/geometry/algorithms/is_valid.hpp>
 
@@ -43,10 +43,11 @@ double calcInterpolatedZ(
   const tier4_planning_msgs::msg::PathWithLaneId & input,
   const geometry_msgs::msg::Point target_pos, const size_t seg_idx)
 {
-  const double closest_to_target_dist = motion_utils::calcSignedArcLength(
+  const double closest_to_target_dist = autoware::motion_utils::calcSignedArcLength(
     input.points, input.points.at(seg_idx).point.pose.position,
     target_pos);  // TODO(murooka) implement calcSignedArcLength(points, idx, point)
-  const double seg_dist = motion_utils::calcSignedArcLength(input.points, seg_idx, seg_idx + 1);
+  const double seg_dist =
+    autoware::motion_utils::calcSignedArcLength(input.points, seg_idx, seg_idx + 1);
 
   const double closest_z = input.points.at(seg_idx).point.pose.position.z;
   const double next_z = input.points.at(seg_idx + 1).point.pose.position.z;
@@ -60,7 +61,8 @@ double calcInterpolatedZ(
 double calcInterpolatedVelocity(
   const tier4_planning_msgs::msg::PathWithLaneId & input, const size_t seg_idx)
 {
-  const double seg_dist = motion_utils::calcSignedArcLength(input.points, seg_idx, seg_idx + 1);
+  const double seg_dist =
+    autoware::motion_utils::calcSignedArcLength(input.points, seg_idx, seg_idx + 1);
 
   const double closest_vel = input.points.at(seg_idx).point.longitudinal_velocity_mps;
   const double next_vel = input.points.at(seg_idx + 1).point.longitudinal_velocity_mps;
@@ -71,11 +73,11 @@ double calcInterpolatedVelocity(
 
 namespace autoware::behavior_path_planner::utils
 {
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
 using autoware_perception_msgs::msg::ObjectClassification;
 using autoware_perception_msgs::msg::Shape;
 using geometry_msgs::msg::PoseWithCovarianceStamped;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
 
 std::optional<lanelet::Polygon3d> getPolygonByPoint(
   const std::shared_ptr<RouteHandler> & route_handler, const lanelet::ConstPoint3d & point,
@@ -111,7 +113,7 @@ double getDistanceBetweenPredictedPaths(
     if (!ego_pose) {
       continue;
     }
-    double distance = tier4_autoware_utils::calcDistance3d(*object_pose, *ego_pose);
+    double distance = autoware::universe_utils::calcDistance3d(*object_pose, *ego_pose);
     if (distance < min_distance) {
       min_distance = distance;
     }
@@ -128,7 +130,7 @@ double getDistanceBetweenPredictedPathAndObject(
   double min_distance = std::numeric_limits<double>::max();
   rclcpp::Time ros_start_time = clock.now() + rclcpp::Duration::from_seconds(start_time);
   rclcpp::Time ros_end_time = clock.now() + rclcpp::Duration::from_seconds(end_time);
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(object);
   for (double t = start_time; t < end_time; t += resolution) {
     const auto ego_pose = object_recognition_utils::calcInterpolatedPose(ego_path, t);
     if (!ego_pose) {
@@ -145,7 +147,7 @@ double getDistanceBetweenPredictedPathAndObject(
 }
 
 bool checkCollisionBetweenPathFootprintsAndObjects(
-  const tier4_autoware_utils::LinearRing2d & local_vehicle_footprint,
+  const autoware::universe_utils::LinearRing2d & local_vehicle_footprint,
   const PathWithLaneId & ego_path, const PredictedObjects & dynamic_objects, const double margin)
 {
   for (const auto & p : ego_path.points) {
@@ -158,14 +160,14 @@ bool checkCollisionBetweenPathFootprintsAndObjects(
 }
 
 bool checkCollisionBetweenFootprintAndObjects(
-  const tier4_autoware_utils::LinearRing2d & local_vehicle_footprint, const Pose & ego_pose,
+  const autoware::universe_utils::LinearRing2d & local_vehicle_footprint, const Pose & ego_pose,
   const PredictedObjects & dynamic_objects, const double margin)
 {
   const auto vehicle_footprint =
-    transformVector(local_vehicle_footprint, tier4_autoware_utils::pose2transform(ego_pose));
+    transformVector(local_vehicle_footprint, autoware::universe_utils::pose2transform(ego_pose));
 
   for (const auto & object : dynamic_objects.objects) {
-    const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object);
+    const auto obj_polygon = autoware::universe_utils::toPolygon2d(object);
     const double distance = boost::geometry::distance(obj_polygon, vehicle_footprint);
     if (distance < margin) return true;
   }
@@ -176,18 +178,18 @@ double calcLateralDistanceFromEgoToObject(
   const Pose & ego_pose, const double vehicle_width, const PredictedObject & dynamic_object)
 {
   double min_distance = std::numeric_limits<double>::max();
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(dynamic_object);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(dynamic_object);
   const auto vehicle_left_pose =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, 0, vehicle_width / 2, 0);
+    autoware::universe_utils::calcOffsetPose(ego_pose, 0, vehicle_width / 2, 0);
   const auto vehicle_right_pose =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, 0, -vehicle_width / 2, 0);
+    autoware::universe_utils::calcOffsetPose(ego_pose, 0, -vehicle_width / 2, 0);
 
   for (const auto & p : obj_polygon.outer()) {
-    const auto point = tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0);
+    const auto point = autoware::universe_utils::createPoint(p.x(), p.y(), 0.0);
     const double signed_distance_from_left =
-      tier4_autoware_utils::calcLateralDeviation(vehicle_left_pose, point);
+      autoware::universe_utils::calcLateralDeviation(vehicle_left_pose, point);
     const double signed_distance_from_right =
-      tier4_autoware_utils::calcLateralDeviation(vehicle_right_pose, point);
+      autoware::universe_utils::calcLateralDeviation(vehicle_right_pose, point);
 
     if (signed_distance_from_left < 0.0 && signed_distance_from_right > 0.0) {
       // point is between left and right
@@ -206,21 +208,21 @@ double calcLongitudinalDistanceFromEgoToObject(
   const PredictedObject & dynamic_object)
 {
   double min_distance = std::numeric_limits<double>::max();
-  const auto obj_polygon = tier4_autoware_utils::toPolygon2d(dynamic_object);
+  const auto obj_polygon = autoware::universe_utils::toPolygon2d(dynamic_object);
   const auto vehicle_front_pose =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, base_link2front, 0, 0);
+    autoware::universe_utils::calcOffsetPose(ego_pose, base_link2front, 0, 0);
   const auto vehicle_rear_pose =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, base_link2rear, 0, 0);
+    autoware::universe_utils::calcOffsetPose(ego_pose, base_link2rear, 0, 0);
 
   for (const auto & p : obj_polygon.outer()) {
-    const auto point = tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0);
+    const auto point = autoware::universe_utils::createPoint(p.x(), p.y(), 0.0);
 
     // forward is positive
     const double signed_distance_from_front =
-      tier4_autoware_utils::calcLongitudinalDeviation(vehicle_front_pose, point);
+      autoware::universe_utils::calcLongitudinalDeviation(vehicle_front_pose, point);
     // backward is positive
     const double signed_distance_from_rear =
-      -tier4_autoware_utils::calcLongitudinalDeviation(vehicle_rear_pose, point);
+      -autoware::universe_utils::calcLongitudinalDeviation(vehicle_rear_pose, point);
 
     if (signed_distance_from_front < 0.0 && signed_distance_from_rear < 0.0) {
       // point is between front and rear
@@ -252,7 +254,7 @@ std::vector<double> calcObjectsDistanceToPath(
 {
   std::vector<double> distance_array;
   for (const auto & obj : objects.objects) {
-    const auto obj_polygon = tier4_autoware_utils::toPolygon2d(obj);
+    const auto obj_polygon = autoware::universe_utils::toPolygon2d(obj);
     LineString2d ego_path_line;
     ego_path_line.reserve(ego_path.points.size());
     for (const auto & p : ego_path.points) {
@@ -288,7 +290,7 @@ std::optional<size_t> findIndexOutOfGoalSearchRange(
       const auto & lane_ids = points.at(i).lane_ids;
 
       const double dist_to_goal =
-        tier4_autoware_utils::calcDistance2d(points.at(i).point.pose, goal);
+        autoware::universe_utils::calcDistance2d(points.at(i).point.pose, goal);
       const bool is_goal_lane_id_in_point =
         std::find(lane_ids.begin(), lane_ids.end(), goal_lane_id) != lane_ids.end();
       if (dist_to_goal < max_dist && dist_to_goal < min_dist && is_goal_lane_id_in_point) {
@@ -305,7 +307,7 @@ std::optional<size_t> findIndexOutOfGoalSearchRange(
   // find index out of goal search range
   size_t min_dist_out_of_range_index = min_dist_index;
   for (int i = min_dist_index; 0 <= i; --i) {
-    const double dist = tier4_autoware_utils::calcDistance2d(points.at(i).point, goal);
+    const double dist = autoware::universe_utils::calcDistance2d(points.at(i).point, goal);
     min_dist_out_of_range_index = i;
     if (max_dist < dist) {
       break;
@@ -341,7 +343,7 @@ bool setGoal(
     PathPointWithLaneId pre_refined_goal{};
     constexpr double goal_to_pre_goal_distance = -1.0;
     pre_refined_goal.point.pose =
-      tier4_autoware_utils::calcOffsetPose(goal, goal_to_pre_goal_distance, 0.0, 0.0);
+      autoware::universe_utils::calcOffsetPose(goal, goal_to_pre_goal_distance, 0.0, 0.0);
     const size_t closest_seg_idx_for_pre_goal =
       findNearestSegmentIndex(input.points, pre_refined_goal.point.pose, 3.0, M_PI_4);
     pre_refined_goal.point.pose.position.z =
@@ -439,7 +441,7 @@ PathWithLaneId refinePathForGoal(
 {
   PathWithLaneId filtered_path = input;
   PathWithLaneId path_with_goal;
-  filtered_path.points = motion_utils::removeOverlapPoints(filtered_path.points);
+  filtered_path.points = autoware::motion_utils::removeOverlapPoints(filtered_path.points);
 
   // always set zero velocity at the end of path for safety
   if (!filtered_path.points.empty()) {
@@ -482,14 +484,15 @@ bool isInLaneletWithYawThreshold(
   const double pose_yaw = tf2::getYaw(current_pose.orientation);
   const double lanelet_angle = lanelet::utils::getLaneletAngle(lanelet, current_pose.position);
   const double angle_diff =
-    std::abs(tier4_autoware_utils::normalizeRadian(lanelet_angle - pose_yaw));
+    std::abs(autoware::universe_utils::normalizeRadian(lanelet_angle - pose_yaw));
 
   return (angle_diff < std::abs(yaw_threshold)) &&
          lanelet::utils::isInLanelet(current_pose, lanelet, radius);
 }
 
 bool isEgoOutOfRoute(
-  const Pose & self_pose, const std::optional<PoseWithUuidStamped> & modified_goal,
+  const Pose & self_pose, const lanelet::ConstLanelet & closest_road_lane,
+  const std::optional<PoseWithUuidStamped> & modified_goal,
   const std::shared_ptr<RouteHandler> & route_handler)
 {
   const Pose & goal_pose = (modified_goal && modified_goal->uuid == route_handler->getRouteUuid())
@@ -508,13 +511,17 @@ bool isEgoOutOfRoute(
   }
 
   // If ego vehicle is over goal on goal lane, return true
-  const double yaw_threshold = tier4_autoware_utils::deg2rad(90);
-  if (isInLaneletWithYawThreshold(self_pose, goal_lane, yaw_threshold)) {
+  const double yaw_threshold = autoware::universe_utils::deg2rad(90);
+  if (
+    closest_road_lane.id() == goal_lane.id() &&
+    isInLaneletWithYawThreshold(self_pose, goal_lane, yaw_threshold)) {
     constexpr double buffer = 1.0;
     const auto ego_arc_coord = lanelet::utils::getArcCoordinates({goal_lane}, self_pose);
     const auto goal_arc_coord =
       lanelet::utils::getArcCoordinates({goal_lane}, route_handler->getGoalPose());
     if (ego_arc_coord.length > goal_arc_coord.length + buffer) {
+      RCLCPP_WARN_STREAM(
+        rclcpp::get_logger("behavior_path_planner").get_child("util"), "ego pose is beyond goal");
       return true;
     } else {
       return false;
@@ -526,14 +533,6 @@ bool isEgoOutOfRoute(
   const bool is_in_shoulder_lane = !route_handler->getShoulderLaneletsAtPose(self_pose).empty();
   // Check if ego vehicle is in road lane
   const bool is_in_road_lane = std::invoke([&]() {
-    lanelet::ConstLanelet closest_road_lane;
-    if (!route_handler->getClosestLaneletWithinRoute(self_pose, &closest_road_lane)) {
-      RCLCPP_WARN_STREAM(
-        rclcpp::get_logger("behavior_path_planner").get_child("util"),
-        "cannot find closest road lanelet");
-      return false;
-    }
-
     if (lanelet::utils::isInLanelet(self_pose, closest_road_lane)) {
       return true;
     }
@@ -548,6 +547,7 @@ bool isEgoOutOfRoute(
 
     return false;
   });
+
   if (!is_in_shoulder_lane && !is_in_road_lane) {
     return true;
   }
@@ -564,8 +564,8 @@ bool isEgoWithinOriginalLane(
   const auto base_link2front = common_param.base_link2front;
   const auto base_link2rear = common_param.base_link2rear;
   const auto vehicle_width = common_param.vehicle_width;
-  const auto vehicle_poly =
-    tier4_autoware_utils::toFootprint(current_pose, base_link2front, base_link2rear, vehicle_width);
+  const auto vehicle_poly = autoware::universe_utils::toFootprint(
+    current_pose, base_link2front, base_link2rear, vehicle_width);
 
   // Check if the ego vehicle is entirely within the lane with a given outer margin.
   for (const auto & p : vehicle_poly.outer()) {
@@ -782,7 +782,7 @@ PathPointWithLaneId insertStopPoint(const double length, PathWithLaneId & path)
   const size_t original_size = path.points.size();
 
   // insert stop point
-  const auto insert_idx = motion_utils::insertStopPoint(length, path.points);
+  const auto insert_idx = autoware::motion_utils::insertStopPoint(length, path.points);
   if (!insert_idx) {
     return PathPointWithLaneId();
   }
@@ -851,16 +851,16 @@ std::optional<double> getSignedDistanceFromBoundary(
     rear_left.y = vehicle_width / 2;
     front_left.x = base_link2front;
     front_left.y = vehicle_width / 2;
-    rear_corner_point = tier4_autoware_utils::transformPoint(rear_left, vehicle_pose);
-    front_corner_point = tier4_autoware_utils::transformPoint(front_left, vehicle_pose);
+    rear_corner_point = autoware::universe_utils::transformPoint(rear_left, vehicle_pose);
+    front_corner_point = autoware::universe_utils::transformPoint(front_left, vehicle_pose);
   } else {
     Point front_right, rear_right;
     rear_right.x = -base_link2rear;
     rear_right.y = -vehicle_width / 2;
     front_right.x = base_link2front;
     front_right.y = -vehicle_width / 2;
-    rear_corner_point = tier4_autoware_utils::transformPoint(rear_right, vehicle_pose);
-    front_corner_point = tier4_autoware_utils::transformPoint(front_right, vehicle_pose);
+    rear_corner_point = autoware::universe_utils::transformPoint(rear_right, vehicle_pose);
+    front_corner_point = autoware::universe_utils::transformPoint(front_right, vehicle_pose);
   }
 
   const auto combined_lane = lanelet::utils::combineLaneletsShape(lanelets);
@@ -884,16 +884,18 @@ std::optional<double> getSignedDistanceFromBoundary(
       const Point p1 = lanelet::utils::conversion::toGeomMsgPt(bound_line_2d[i]);
       const Point p2 = lanelet::utils::conversion::toGeomMsgPt(bound_line_2d[i + 1]);
 
-      const Point inverse_p1 = tier4_autoware_utils::inverseTransformPoint(p1, vehicle_corner_pose);
-      const Point inverse_p2 = tier4_autoware_utils::inverseTransformPoint(p2, vehicle_corner_pose);
+      const Point inverse_p1 =
+        autoware::universe_utils::inverseTransformPoint(p1, vehicle_corner_pose);
+      const Point inverse_p2 =
+        autoware::universe_utils::inverseTransformPoint(p2, vehicle_corner_pose);
       const double dx_p1 = inverse_p1.x;
       const double dx_p2 = inverse_p2.x;
       const double dy_p1 = inverse_p1.y;
       const double dy_p2 = inverse_p2.y;
 
       // Calculate the Euclidean distances between vehicle's corner and the current and next points.
-      const double distance1 = tier4_autoware_utils::calcDistance2d(p1, vehicle_corner_point);
-      const double distance2 = tier4_autoware_utils::calcDistance2d(p2, vehicle_corner_point);
+      const double distance1 = autoware::universe_utils::calcDistance2d(p1, vehicle_corner_point);
+      const double distance2 = autoware::universe_utils::calcDistance2d(p2, vehicle_corner_point);
 
       // If one of the bound points is behind and the other is in front of the vehicle corner point
       // and any of these points is closer than the current minimum distance,
@@ -946,9 +948,9 @@ std::optional<double> getSignedDistanceFromBoundary(
     bound_pose.orientation = vehicle_pose.orientation;
 
     const Point inverse_rear_point =
-      tier4_autoware_utils::inverseTransformPoint(rear_corner_point, bound_pose);
+      autoware::universe_utils::inverseTransformPoint(rear_corner_point, bound_pose);
     const Point inverse_front_point =
-      tier4_autoware_utils::inverseTransformPoint(front_corner_point, bound_pose);
+      autoware::universe_utils::inverseTransformPoint(front_corner_point, bound_pose);
     const double dx_rear = inverse_rear_point.x;
     const double dx_front = inverse_front_point.x;
     const double dy_rear = inverse_rear_point.y;
@@ -1006,9 +1008,9 @@ Polygon2d toPolygon2d(const lanelet::ConstLanelet & lanelet)
   }
   polygon.outer().push_back(polygon.outer().front());
 
-  return tier4_autoware_utils::isClockwise(polygon)
+  return autoware::universe_utils::isClockwise(polygon)
            ? polygon
-           : tier4_autoware_utils::inverseClockwise(polygon);
+           : autoware::universe_utils::inverseClockwise(polygon);
 }
 
 Polygon2d toPolygon2d(const lanelet::BasicPolygon2d & polygon)
@@ -1019,7 +1021,9 @@ Polygon2d toPolygon2d(const lanelet::BasicPolygon2d & polygon)
   }
   ret.outer().push_back(ret.outer().front());
 
-  return tier4_autoware_utils::isClockwise(ret) ? ret : tier4_autoware_utils::inverseClockwise(ret);
+  return autoware::universe_utils::isClockwise(ret)
+           ? ret
+           : autoware::universe_utils::inverseClockwise(ret);
 }
 
 std::vector<Polygon2d> getTargetLaneletPolygons(
@@ -1147,13 +1151,14 @@ PathWithLaneId getCenterLinePath(
 
   const auto raw_path_with_lane_id =
     route_handler.getCenterLinePath(lanelet_sequence, s_backward, s_forward, true);
-  auto resampled_path_with_lane_id = motion_utils::resamplePath(
+  auto resampled_path_with_lane_id = autoware::motion_utils::resamplePath(
     raw_path_with_lane_id, parameter.input_path_interval, parameter.enable_akima_spline_first);
 
   // convert centerline, which we consider as CoG center,  to rear wheel center
   if (parameter.enable_cog_on_centerline) {
     const double rear_to_cog = parameter.vehicle_length / 2 - parameter.rear_overhang;
-    return motion_utils::convertToRearWheelCenter(resampled_path_with_lane_id, rear_to_cog);
+    return autoware::motion_utils::convertToRearWheelCenter(
+      resampled_path_with_lane_id, rear_to_cog);
   }
 
   return resampled_path_with_lane_id;
@@ -1192,7 +1197,7 @@ PathWithLaneId setDecelerationVelocity(
 
   for (auto & point : reference_path.points) {
     const auto arclength_to_target = std::max(
-      0.0, motion_utils::calcSignedArcLength(
+      0.0, autoware::motion_utils::calcSignedArcLength(
              reference_path.points, point.point.pose.position, target_pose.position) +
              buffer);
     if (arclength_to_target > deceleration_interval) continue;
@@ -1205,7 +1210,8 @@ PathWithLaneId setDecelerationVelocity(
   }
 
   const auto stop_point_length =
-    motion_utils::calcSignedArcLength(reference_path.points, 0, target_pose.position) + buffer;
+    autoware::motion_utils::calcSignedArcLength(reference_path.points, 0, target_pose.position) +
+    buffer;
   constexpr double eps{0.01};
   if (std::abs(target_velocity) < eps && stop_point_length > 0.0) {
     const auto stop_point = utils::insertStopPoint(stop_point_length, reference_path);
@@ -1308,26 +1314,26 @@ lanelet::ConstLanelets extendNextLane(
 {
   if (lanes.empty()) return lanes;
 
-  auto extended_lanes = lanes;
+  const auto next_lanes = route_handler->getNextLanelets(lanes.back());
+  if (next_lanes.empty()) return lanes;
 
   // Add next lane
-  const auto next_lanes = route_handler->getNextLanelets(extended_lanes.back());
-  if (!next_lanes.empty()) {
-    std::optional<lanelet::ConstLanelet> target_next_lane;
-    if (!only_in_route) {
-      target_next_lane = next_lanes.front();
-    }
-    // use the next lane in route if it exists
-    for (const auto & next_lane : next_lanes) {
-      if (route_handler->isRouteLanelet(next_lane)) {
-        target_next_lane = next_lane;
-      }
-    }
-    if (target_next_lane) {
-      extended_lanes.push_back(*target_next_lane);
+  auto extended_lanes = lanes;
+  std::optional<lanelet::ConstLanelet> target_next_lane;
+  for (const auto & next_lane : next_lanes) {
+    // skip overlapping lanes
+    if (next_lane.id() == lanes.front().id()) continue;
+
+    // if route lane, set target and break
+    if (route_handler->isRouteLanelet(next_lane)) {
+      target_next_lane = next_lane;
+      break;
     }
+    if (!only_in_route && !target_next_lane) target_next_lane = next_lane;
+  }
+  if (target_next_lane) {
+    extended_lanes.push_back(*target_next_lane);
   }
-
   return extended_lanes;
 }
 
@@ -1337,24 +1343,25 @@ lanelet::ConstLanelets extendPrevLane(
 {
   if (lanes.empty()) return lanes;
 
-  auto extended_lanes = lanes;
+  const auto prev_lanes = route_handler->getPreviousLanelets(lanes.front());
+  if (prev_lanes.empty()) return lanes;
 
   // Add previous lane
-  const auto prev_lanes = route_handler->getPreviousLanelets(extended_lanes.front());
-  if (!prev_lanes.empty()) {
-    std::optional<lanelet::ConstLanelet> target_prev_lane;
-    if (!only_in_route) {
-      target_prev_lane = prev_lanes.front();
-    }
-    // use the previous lane in route if it exists
-    for (const auto & prev_lane : prev_lanes) {
-      if (route_handler->isRouteLanelet(prev_lane)) {
-        target_prev_lane = prev_lane;
-      }
-    }
-    if (target_prev_lane) {
-      extended_lanes.insert(extended_lanes.begin(), *target_prev_lane);
+  auto extended_lanes = lanes;
+  std::optional<lanelet::ConstLanelet> target_prev_lane;
+  for (const auto & prev_lane : prev_lanes) {
+    // skip overlapping lanes
+    if (prev_lane.id() == lanes.back().id()) continue;
+
+    // if route lane, set target and break
+    if (route_handler->isRouteLanelet(prev_lane)) {
+      target_prev_lane = prev_lane;
+      break;
     }
+    if (!only_in_route && !target_prev_lane) target_prev_lane = prev_lane;
+  }
+  if (target_prev_lane) {
+    extended_lanes.insert(extended_lanes.begin(), *target_prev_lane);
   }
   return extended_lanes;
 }
diff --git a/planning/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp
similarity index 97%
rename from planning/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp
index 39363a97ad8c0..bf69647304833 100644
--- a/planning/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_drivable_area_expansion.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/path_projection.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/types.hpp"
 #include "lanelet2_extension/utility/message_conversion.hpp"
 
 #include <gtest/gtest.h>
diff --git a/planning/autoware_behavior_path_planner_common/test/test_safety_check.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_safety_check.cpp
similarity index 86%
rename from planning/autoware_behavior_path_planner_common/test/test_safety_check.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_safety_check.cpp
index 2a3bbff492dfb..85a80eac8f215 100644
--- a/planning/autoware_behavior_path_planner_common/test/test_safety_check.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_safety_check.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
 
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 
@@ -28,12 +28,12 @@
 constexpr double epsilon = 1e-6;
 
 using autoware::behavior_path_planner::utils::path_safety_checker::CollisionCheckDebug;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::Shape;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::Twist;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 
 TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedEgoPolygon)
 {
@@ -47,8 +47,8 @@ TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedEgoPolygon)
 
   {
     Pose ego_pose;
-    ego_pose.position = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
-    ego_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(0.0);
+    ego_pose.position = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
+    ego_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(0.0);
 
     const double lon_length = 10.0;
     const double lat_margin = 2.0;
@@ -75,8 +75,8 @@ TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedEgoPolygon)
 
   {
     Pose ego_pose;
-    ego_pose.position = tier4_autoware_utils::createPoint(3.0, 4.0, 0.0);
-    ego_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(0.0);
+    ego_pose.position = autoware::universe_utils::createPoint(3.0, 4.0, 0.0);
+    ego_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(0.0);
 
     const double lon_length = 10.0;
     const double lat_margin = 2.0;
@@ -103,9 +103,9 @@ TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedEgoPolygon)
 
   {
     Pose ego_pose;
-    ego_pose.position = tier4_autoware_utils::createPoint(0.0, 0.0, 0.0);
+    ego_pose.position = autoware::universe_utils::createPoint(0.0, 0.0, 0.0);
     ego_pose.orientation =
-      tier4_autoware_utils::createQuaternionFromYaw(tier4_autoware_utils::deg2rad(60));
+      autoware::universe_utils::createQuaternionFromYaw(autoware::universe_utils::deg2rad(60));
 
     const double lon_length = 10.0;
     const double lat_margin = 2.0;
@@ -134,13 +134,13 @@ TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedEgoPolygon)
 TEST(BehaviorPathPlanningSafetyUtilsTest, createExtendedObjPolygon)
 {
   using autoware::behavior_path_planner::utils::path_safety_checker::createExtendedPolygon;
-  using tier4_autoware_utils::createPoint;
-  using tier4_autoware_utils::createQuaternionFromYaw;
+  using autoware::universe_utils::createPoint;
+  using autoware::universe_utils::createQuaternionFromYaw;
 
   {
     Pose obj_pose;
     obj_pose.position = createPoint(0.0, 0.0, 0.0);
-    obj_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(0.0);
+    obj_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(0.0);
 
     Shape shape;
     shape.type = autoware_perception_msgs::msg::Shape::POLYGON;
diff --git a/planning/autoware_behavior_path_planner_common/test/test_turn_signal.cpp b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_turn_signal.cpp
similarity index 80%
rename from planning/autoware_behavior_path_planner_common/test/test_turn_signal.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_turn_signal.cpp
index 74c78e7024b72..b6149e3b5f99c 100644
--- a/planning/autoware_behavior_path_planner_common/test/test_turn_signal.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_planner_common/test/test_turn_signal.cpp
@@ -11,10 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#include "autoware_behavior_path_planner_common/turn_signal_decider.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/behavior_path_planner_common/turn_signal_decider.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
 #include <geometry_msgs/msg/twist.hpp>
@@ -26,13 +26,13 @@ using autoware::behavior_path_planner::PathWithLaneId;
 using autoware::behavior_path_planner::Pose;
 using autoware::behavior_path_planner::TurnSignalDecider;
 using autoware::behavior_path_planner::TurnSignalInfo;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromYaw;
 using autoware_planning_msgs::msg::PathPoint;
 using autoware_vehicle_msgs::msg::HazardLightsCommand;
 using autoware_vehicle_msgs::msg::TurnIndicatorsCommand;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::Twist;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromYaw;
 using tier4_planning_msgs::msg::PathPointWithLaneId;
 
 constexpr double nearest_dist_threshold = 5.0;
@@ -105,8 +105,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose on the behavior desired start
   {
     Pose current_pose = generateEgoSamplePose(5.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -116,8 +117,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is right before the intersection required start
   {
     Pose current_pose = generateEgoSamplePose(34.99f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -127,8 +129,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is within the intersection required section
   {
     Pose current_pose = generateEgoSamplePose(40.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -138,8 +141,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is within the intersection and behavior required section
   {
     Pose current_pose = generateEgoSamplePose(45.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -149,8 +153,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is on the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(48.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -160,8 +165,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is right after the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(48.1f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -171,8 +177,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is on the behavior required end
   {
     Pose current_pose = generateEgoSamplePose(50.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -182,8 +189,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is right after the behavior required end
   {
     Pose current_pose = generateEgoSamplePose(50.1f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -193,8 +201,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is right on the intersection desired end
   {
     Pose current_pose = generateEgoSamplePose(65.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -204,8 +213,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition1)
   // current pose is right right after the intersection desired end
   {
     Pose current_pose = generateEgoSamplePose(65.1f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -244,8 +254,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose on the behavior desired start
   {
     Pose current_pose = generateEgoSamplePose(5.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -255,8 +266,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is right before the intersection required start
   {
     Pose current_pose = generateEgoSamplePose(34.99f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -266,8 +278,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is on the behavior required start
   {
     Pose current_pose = generateEgoSamplePose(40.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -277,8 +290,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is on the behavior required end
   {
     Pose current_pose = generateEgoSamplePose(45.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -288,8 +302,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is on the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(50.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -299,8 +314,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is right after the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(50.1f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -310,8 +326,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition2)
   // current pose is on the intersection desired end
   {
     Pose current_pose = generateEgoSamplePose(65.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -338,7 +355,6 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
 
   TurnSignalInfo behavior_signal_info;
   behavior_signal_info.turn_signal.command = TurnIndicatorsCommand::ENABLE_RIGHT;
-  behavior_signal_info.turn_signal.command = TurnIndicatorsCommand::ENABLE_RIGHT;
   behavior_signal_info.desired_start_point.position = createPoint(5.0, 0.0, 0.0);
   behavior_signal_info.desired_start_point.orientation = createQuaternionFromYaw(0.0);
   behavior_signal_info.desired_end_point.position = createPoint(70.0, 0.0, 0.0);
@@ -351,8 +367,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose on the behavior desired start
   {
     Pose current_pose = generateEgoSamplePose(5.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -362,8 +379,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right before the behavior required start
   {
     Pose current_pose = generateEgoSamplePose(29.9f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -373,8 +391,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right on the behavior required start
   {
     Pose current_pose = generateEgoSamplePose(30.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -384,8 +403,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right before the intersection required start
   {
     Pose current_pose = generateEgoSamplePose(33.9f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -395,8 +415,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right on the intersection required start
   {
     Pose current_pose = generateEgoSamplePose(35.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -406,8 +427,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right before the behavior required end
   {
     Pose current_pose = generateEgoSamplePose(44.9f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -417,8 +439,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right on the behavior required end
   {
     Pose current_pose = generateEgoSamplePose(45.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -428,8 +451,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right before the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(49.9f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -439,8 +463,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right on the intersection required end
   {
     Pose current_pose = generateEgoSamplePose(50.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
@@ -450,8 +475,9 @@ TEST(BehaviorPathPlanningTurnSignal, Condition3)
   // current pose is right on the intersection desired end
   {
     Pose current_pose = generateEgoSamplePose(65.0f, 0.0f, 0.0);
-    const size_t current_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-      path.points, current_pose, 3.0, 1.0);
+    const size_t current_seg_idx =
+      autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+        path.points, current_pose, 3.0, 1.0);
     const auto result_signal = turn_signal_decider.resolve_turn_signal(
       path, current_pose, current_seg_idx, intersection_signal_info, behavior_signal_info,
       nearest_dist_threshold, nearest_yaw_threshold);
diff --git a/planning/autoware_behavior_path_sampling_planner_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_sampling_planner_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_sampling_planner_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_sampling_planner_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/README.md
diff --git a/planning/autoware_behavior_path_sampling_planner_module/config/sampling_planner.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/config/sampling_planner.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_sampling_planner_module/config/sampling_planner.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/config/sampling_planner.param.yaml
diff --git a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/manager.hpp
similarity index 78%
rename from planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/manager.hpp
index 180d1af6190d2..28c310ae20ec2 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/manager.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_behavior_path_sampling_planner_module/sampling_planner_module.hpp"
-#include "autoware_behavior_path_sampling_planner_module/sampling_planner_parameters.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_sampling_planner_module/sampling_planner_module.hpp"
+#include "autoware/behavior_path_sampling_planner_module/sampling_planner_parameters.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -50,4 +50,4 @@ class SamplingPlannerModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_module.hpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_module.hpp
similarity index 88%
rename from planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_module.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_module.hpp
index 9f518d102257b..2b6f52998cb23 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_module.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_module.hpp
@@ -12,17 +12,23 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
-
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_sampling_planner_module/sampling_planner_parameters.hpp"
-#include "autoware_behavior_path_sampling_planner_module/util.hpp"
+#ifndef AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
+
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/drivable_area_expansion.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_sampling_planner_module/sampling_planner_parameters.hpp"
+#include "autoware/behavior_path_sampling_planner_module/util.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/universe_utils/math/constants.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "autoware_bezier_sampler/bezier_sampling.hpp"
 #include "autoware_frenet_planner/frenet_planner.hpp"
 #include "autoware_sampler_common/constraints/footprint.hpp"
@@ -33,13 +39,7 @@
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "lanelet2_extension/utility/query.hpp"
 #include "lanelet2_extension/utility/utilities.hpp"
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
-#include "tier4_autoware_utils/math/constants.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
 #include "tier4_planning_msgs/msg/lateral_offset.hpp"
 #include "tier4_planning_msgs/msg/path_with_lane_id.hpp"
@@ -75,8 +75,8 @@ struct SamplingPlannerDebugData
 {
   std::vector<autoware::sampler_common::Path> sampled_candidates{};
   size_t previous_sampled_candidates_nb = 0UL;
-  std::vector<tier4_autoware_utils::Polygon2d> obstacles{};
-  std::vector<tier4_autoware_utils::MultiPoint2d> footprints{};
+  std::vector<autoware::universe_utils::Polygon2d> obstacles{};
+  std::vector<autoware::universe_utils::MultiPoint2d> footprints{};
 };
 class SamplingPlannerModule : public SceneModuleInterface
 {
@@ -204,10 +204,10 @@ class SamplingPlannerModule : public SceneModuleInterface
     if (length_to_goal < epsilon) return isReferencePathSafe();
 
     const auto nearest_index =
-      motion_utils::findNearestIndex(prev_module_reference_path->points, ego_pose);
+      autoware::motion_utils::findNearestIndex(prev_module_reference_path->points, ego_pose);
     if (!nearest_index) return false;
     auto toYaw = [](const geometry_msgs::msg::Quaternion & quat) -> double {
-      const auto rpy = tier4_autoware_utils::getRPY(quat);
+      const auto rpy = autoware::universe_utils::getRPY(quat);
       return rpy.z;
     };
     const auto quat = prev_module_reference_path->points[*nearest_index].point.pose.orientation;
@@ -263,4 +263,4 @@ class SamplingPlannerModule : public SceneModuleInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_MODULE_HPP_
diff --git a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_parameters.hpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_parameters.hpp
similarity index 81%
rename from planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_parameters.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_parameters.hpp
index 6344af7163577..f778eef981a92 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/sampling_planner_parameters.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/sampling_planner_parameters.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
 
 #include "autoware_bezier_sampler/bezier_sampling.hpp"
 #include "autoware_sampler_common/structures.hpp"
@@ -21,11 +21,11 @@
 #include <vector>
 namespace autoware::behavior_path_planner
 {
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::MultiPolygon2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::MultiPolygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
 struct SamplingPlannerParameters
 {  // constraints.hard
@@ -88,4 +88,4 @@ struct SamplingPlannerInternalParameters
   Preprocessing preprocessing{};
 };
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__SAMPLING_PLANNER_PARAMETERS_HPP_
diff --git a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/util.hpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/util.hpp
similarity index 84%
rename from planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/util.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/util.hpp
index 1f910812f5360..4408645b26095 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/include/autoware_behavior_path_sampling_planner_module/util.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/include/autoware/behavior_path_sampling_planner_module/util.hpp
@@ -12,15 +12,21 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
 #include "autoware_sampler_common/structures.hpp"
 #include "autoware_sampler_common/transform/spline_transform.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+
+#include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
 #include <boost/geometry/index/rtree.hpp>
 
+#include <lanelet2_core/geometry/Lanelet.h>
+#include <lanelet2_core/primitives/LaneletSequence.h>
+
 #include <any>
 #include <functional>
 #include <numeric>
@@ -29,6 +35,8 @@
 namespace autoware::behavior_path_planner
 {
 using geometry_msgs::msg::Pose;
+using tier4_planning_msgs::msg::PathWithLaneId;
+using PlanResult = PathWithLaneId::SharedPtr;
 
 struct SoftConstraintsInputs
 {
@@ -93,7 +101,7 @@ inline autoware::sampler_common::State getInitialState(
 {
   autoware::sampler_common::State initial_state;
   Point2d initial_state_pose{pose.position.x, pose.position.y};
-  const auto rpy = tier4_autoware_utils::getRPY(pose.orientation);
+  const auto rpy = autoware::universe_utils::getRPY(pose.orientation);
   initial_state.pose = initial_state_pose;
   initial_state.frenet = reference_spline.frenet({pose.position.x, pose.position.y});
   initial_state.heading = rpy.z;
@@ -102,4 +110,4 @@ inline autoware::sampler_common::State getInitialState(
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SAMPLING_PLANNER_MODULE__UTIL_HPP_
diff --git a/planning/autoware_behavior_path_sampling_planner_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_path_sampling_planner_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/package.xml
index 7934c2fb0ae91..aab393f4bdb5a 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/package.xml
@@ -16,17 +16,18 @@
   <depend>autoware_behavior_path_planner_common</depend>
   <depend>autoware_bezier_sampler</depend>
   <depend>autoware_frenet_planner</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_path_sampler</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -36,7 +37,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_sampling_planner_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_sampling_planner_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/plugins.xml
diff --git a/planning/autoware_behavior_path_sampling_planner_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_path_sampling_planner_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/manager.cpp
index 89be13bc9dabd..af8a538f894cc 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/manager.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_sampling_planner_module/manager.hpp"
+#include "autoware/behavior_path_sampling_planner_module/manager.hpp"
 
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -77,7 +77,7 @@ void SamplingPlannerModuleManager::init(rclcpp::Node * node)
 void SamplingPlannerModuleManager::updateModuleParams(
   [[maybe_unused]] const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   auto & p = parameters_;
 
diff --git a/planning/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp
similarity index 97%
rename from planning/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp
index 9a7eb970e521a..526a761e6957a 100644
--- a/planning/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_sampling_planner_module/src/sampling_planner_module.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_sampling_planner_module/sampling_planner_module.hpp"
+#include "autoware/behavior_path_sampling_planner_module/sampling_planner_module.hpp"
 
 namespace autoware::behavior_path_planner
 {
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findNearestIndex;
+using autoware::motion_utils::findNearestSegmentIndex;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::getPoint;
+using autoware::universe_utils::Point2d;
 using geometry_msgs::msg::Point;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findNearestIndex;
-using motion_utils::findNearestSegmentIndex;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::getPoint;
-using tier4_autoware_utils::Point2d;
 
 namespace bg = boost::geometry;
 namespace bgi = boost::geometry::index;
@@ -103,7 +103,7 @@ SamplingPlannerModule::SamplingPlannerModule(
   //     [[maybe_unused]] const SoftConstraintsInputs & input_data) -> double {
   //     if (path.points.empty()) return 0.0;
   //     const auto & goal_pose_yaw =
-  //     tier4_autoware_utils::getRPY(input_data.goal_pose.orientation).z; const auto &
+  //     autoware::universe_utils::getRPY(input_data.goal_pose.orientation).z; const auto &
   //     last_point_yaw = path.yaws.back(); const double angle_difference = std::abs(last_point_yaw
   //     - goal_pose_yaw); return angle_difference / (3.141519 / 4.0);
   //   });
@@ -190,7 +190,7 @@ bool SamplingPlannerModule::isExecutionRequested() const
     return false;
   }
 
-  if (!motion_utils::isDrivingForward(getPreviousModuleOutput().reference_path.points)) {
+  if (!autoware::motion_utils::isDrivingForward(getPreviousModuleOutput().reference_path.points)) {
     RCLCPP_WARN(getLogger(), "Backward path is NOT supported. Just converting path to trajectory");
     return false;
   }
@@ -343,7 +343,7 @@ PathWithLaneId SamplingPlannerModule::convertFrenetPathToPathWithLaneID(
       point.lane_ids = path.points.at(i - 1).lane_ids;
     }
     if (reference_path_ptr) {
-      const auto idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+      const auto idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
         reference_path_ptr->points, point.point.pose);
       const auto & closest_point = reference_path_ptr->points[idx];
       point.point.longitudinal_velocity_mps = closest_point.point.longitudinal_velocity_mps;
@@ -365,9 +365,9 @@ void SamplingPlannerModule::prepareConstraints(
   size_t i = 0;
   for (const auto & o : predicted_objects->objects) {
     if (o.kinematics.initial_twist_with_covariance.twist.linear.x < 0.5) {
-      const auto polygon = tier4_autoware_utils::toPolygon2d(o);
+      const auto polygon = autoware::universe_utils::toPolygon2d(o);
       constraints.obstacle_polygons.push_back(polygon);
-      const auto box = boost::geometry::return_envelope<tier4_autoware_utils::Box2d>(polygon);
+      const auto box = boost::geometry::return_envelope<autoware::universe_utils::Box2d>(polygon);
       constraints.rtree.insert(std::make_pair(box, i));
     }
     i++;
diff --git a/planning/autoware_behavior_path_side_shift_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_side_shift_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_side_shift_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_side_shift_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/README.md
diff --git a/planning/autoware_behavior_path_side_shift_module/config/side_shift.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/config/side_shift.param.yaml
similarity index 100%
rename from planning/autoware_behavior_path_side_shift_module/config/side_shift.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/config/side_shift.param.yaml
diff --git a/planning/autoware_behavior_path_side_shift_module/images/side_shift_status.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/images/side_shift_status.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_side_shift_module/images/side_shift_status.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/images/side_shift_status.drawio.svg
diff --git a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/data_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/data_structs.hpp
similarity index 84%
rename from planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/data_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/data_structs.hpp
index 9140132de1335..92565197abf70 100644
--- a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/data_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/data_structs.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <tier4_planning_msgs/msg/lateral_offset.hpp>
 
@@ -51,4 +51,4 @@ struct SideShiftDebugData
 };
 
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__DATA_STRUCTS_HPP_
diff --git a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/manager.hpp
similarity index 81%
rename from planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/manager.hpp
index 339d1e2679e31..b495e6619a1c7 100644
--- a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/manager.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_behavior_path_side_shift_module/scene.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_side_shift_module/scene.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -50,4 +50,4 @@ class SideShiftModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/scene.hpp
similarity index 91%
rename from planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/scene.hpp
index d2ef96056a9ce..543b17aca9352 100644
--- a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/scene.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_side_shift_module/data_structs.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_side_shift_module/data_structs.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -131,4 +131,4 @@ class SideShiftModule : public SceneModuleInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__SCENE_HPP_
diff --git a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/utils.hpp
similarity index 88%
rename from planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/utils.hpp
index bda216b812467..a36eaabcf928c 100644
--- a/planning/autoware_behavior_path_side_shift_module/include/autoware_behavior_path_side_shift_module/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/include/autoware/behavior_path_side_shift_module/utils.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
 
 #include <geometry_msgs/msg/point.hpp>
 #include <geometry_msgs/msg/pose.hpp>
@@ -41,4 +41,4 @@ Point transformToGrid(
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_SIDE_SHIFT_MODULE__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_side_shift_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_path_side_shift_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/package.xml
index f3ac76d2bb1bb..96b305a63a454 100644
--- a/planning/autoware_behavior_path_side_shift_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/package.xml
@@ -20,12 +20,12 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_behavior_path_side_shift_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_side_shift_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/plugins.xml
diff --git a/planning/autoware_behavior_path_side_shift_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/manager.cpp
similarity index 93%
rename from planning/autoware_behavior_path_side_shift_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/manager.cpp
index e1ac25726d6d0..2e8d7e98c11cf 100644
--- a/planning/autoware_behavior_path_side_shift_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/manager.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_side_shift_module/manager.hpp"
+#include "autoware/behavior_path_side_shift_module/manager.hpp"
 
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -48,7 +48,7 @@ void SideShiftModuleManager::init(rclcpp::Node * node)
 void SideShiftModuleManager::updateModuleParams(
   [[maybe_unused]] const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   [[maybe_unused]] auto p = parameters_;
 
diff --git a/planning/autoware_behavior_path_side_shift_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/scene.cpp
similarity index 94%
rename from planning/autoware_behavior_path_side_shift_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/scene.cpp
index 2ddd0de4cddfc..bcb972bf5dc8b 100644
--- a/planning/autoware_behavior_path_side_shift_module/src/scene.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/scene.cpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_side_shift_module/scene.hpp"
+#include "autoware/behavior_path_side_shift_module/scene.hpp"
 
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_side_shift_module/utils.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_side_shift_module/utils.hpp"
 
 #include <lanelet2_extension/utility/utilities.hpp>
 
@@ -28,12 +28,12 @@
 
 namespace autoware::behavior_path_planner
 {
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findNearestIndex;
+using autoware::motion_utils::findNearestSegmentIndex;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::getPoint;
 using geometry_msgs::msg::Point;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findNearestIndex;
-using motion_utils::findNearestSegmentIndex;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::getPoint;
 
 SideShiftModule::SideShiftModule(
   const std::string & name, rclcpp::Node & node,
@@ -195,7 +195,8 @@ void SideShiftModule::updateData()
   const auto longest_dist_to_shift_line = [&]() {
     double max_dist = 0.0;
     for (const auto & pnt : path_shifter_.getShiftLines()) {
-      max_dist = std::max(max_dist, tier4_autoware_utils::calcDistance2d(getEgoPose(), pnt.start));
+      max_dist =
+        std::max(max_dist, autoware::universe_utils::calcDistance2d(getEgoPose(), pnt.start));
     }
     return max_dist;
   }();
@@ -372,7 +373,8 @@ double SideShiftModule::getClosestShiftLength() const
   }
 
   const auto ego_point = planner_data_->self_odometry->pose.pose.position;
-  const auto closest = motion_utils::findNearestIndex(prev_output_.path.points, ego_point);
+  const auto closest =
+    autoware::motion_utils::findNearestIndex(prev_output_.path.points, ego_point);
   return prev_output_.shift_length.at(closest);
 }
 
@@ -395,7 +397,7 @@ BehaviorModuleOutput SideShiftModule::adjustDrivableArea(const ShiftedPath & pat
   auto output_path = path.path;
   const size_t current_seg_idx = planner_data_->findEgoSegmentIndex(output_path.points);
   const auto & current_pose = planner_data_->self_odometry->pose.pose;
-  output_path.points = motion_utils::cropPoints(
+  output_path.points = autoware::motion_utils::cropPoints(
     output_path.points, current_pose.position, current_seg_idx, p.forward_path_length,
     p.backward_path_length + p.input_path_interval);
 
@@ -467,7 +469,7 @@ void SideShiftModule::setDebugMarkersVisualization() const
   debug_marker_.markers.clear();
 
   const auto add = [this](const MarkerArray & added) {
-    tier4_autoware_utils::appendMarkerArray(added, &debug_marker_);
+    autoware::universe_utils::appendMarkerArray(added, &debug_marker_);
   };
 
   const auto add_shift_line_marker = [this, add](
diff --git a/planning/autoware_behavior_path_side_shift_module/src/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/utils.cpp
similarity index 95%
rename from planning/autoware_behavior_path_side_shift_module/src/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/utils.cpp
index 783874720b17d..60fc5f74a3e1a 100644
--- a/planning/autoware_behavior_path_side_shift_module/src/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/src/utils.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_side_shift_module/utils.hpp"
+#include "autoware/behavior_path_side_shift_module/utils.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp
index fecafe1a8680b..1d70f1388d80b 100644
--- a/planning/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_side_shift_module/test/test_behavior_path_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_start_planner_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_start_planner_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/README.md
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/README.md
diff --git a/planning/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml
similarity index 99%
rename from planning/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml
index 5882480a596af..ce7ead87b54c7 100644
--- a/planning/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/config/start_planner.param.yaml
@@ -35,6 +35,7 @@
       # geometric pull out
       enable_geometric_pull_out: true
       geometric_collision_check_distance_from_end: 0.0
+      arc_path_interval: 1.0
       divide_pull_out_path: true
       geometric_pull_out_velocity: 1.0
       lane_departure_margin: 0.2
diff --git a/planning/autoware_behavior_path_start_planner_module/images/collision_check_range_shift_pull_out.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/collision_check_range_shift_pull_out.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/collision_check_range_shift_pull_out.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/collision_check_range_shift_pull_out.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/freespace_pull_out.png b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/freespace_pull_out.png
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/freespace_pull_out.png
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/freespace_pull_out.png
diff --git a/planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path_with_back.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path_with_back.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path_with_back.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/geometric_pull_out_path_with_back.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/priority_order.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/priority_order.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/priority_order.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/priority_order.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/pull_out_after_back.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/pull_out_after_back.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/pull_out_after_back.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/pull_out_after_back.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/pull_out_collision_check.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/pull_out_collision_check.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/pull_out_collision_check.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/pull_out_collision_check.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/shift_pull_out.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/shift_pull_out.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_from_road_lane.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_from_road_lane.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_from_road_lane.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_from_road_lane.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_with_back.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_with_back.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_with_back.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/shift_pull_out_path_with_back.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/images/start_planner_example.png b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/start_planner_example.png
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/start_planner_example.png
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/start_planner_example.png
diff --git a/planning/autoware_behavior_path_start_planner_module/images/start_pose_candidate.drawio.svg b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/start_pose_candidate.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/images/start_pose_candidate.drawio.svg
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/images/start_pose_candidate.drawio.svg
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/data_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/data_structs.hpp
similarity index 91%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/data_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/data_structs.hpp
index 9d6a716ecc22c..6eea3e3576732 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/data_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/data_structs.hpp
@@ -13,15 +13,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
 
-#include <autoware_freespace_planning_algorithms/abstract_algorithm.hpp>
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/freespace_planning_algorithms/abstract_algorithm.hpp>
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
 #include <magic_enum.hpp>
 
 #include <string>
@@ -168,4 +168,4 @@ struct StartPlannerParameters
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DATA_STRUCTS_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/debug.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/debug.hpp
similarity index 81%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/debug.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/debug.hpp
index 58b9f2d1aa428..81358f37132f5 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/debug.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/debug.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
 
-#include "autoware_behavior_path_start_planner_module/data_structs.hpp"
+#include "autoware/behavior_path_start_planner_module/data_structs.hpp"
 
 #include <string>
 #include <vector>
@@ -36,4 +36,4 @@ void updateSafetyCheckDebugData(
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__DEBUG_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/freespace_pull_out.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/freespace_pull_out.hpp
similarity index 75%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/freespace_pull_out.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/freespace_pull_out.hpp
index 61165ef1956db..145ca5175762e 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/freespace_pull_out.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/freespace_pull_out.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
 
-#include "autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp"
 
-#include <autoware_freespace_planning_algorithms/abstract_algorithm.hpp>
-#include <autoware_freespace_planning_algorithms/astar_search.hpp>
-#include <autoware_freespace_planning_algorithms/rrtstar.hpp>
+#include <autoware/freespace_planning_algorithms/abstract_algorithm.hpp>
+#include <autoware/freespace_planning_algorithms/astar_search.hpp>
+#include <autoware/freespace_planning_algorithms/rrtstar.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -50,4 +50,4 @@ class FreespacePullOut : public PullOutPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__FREESPACE_PULL_OUT_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/geometric_pull_out.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/geometric_pull_out.hpp
similarity index 75%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/geometric_pull_out.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/geometric_pull_out.hpp
index 5ec2d8823a1db..c63dd392a5463 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/geometric_pull_out.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/geometric_pull_out.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_path.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_path.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -46,4 +46,4 @@ class GeometricPullOut : public PullOutPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__GEOMETRIC_PULL_OUT_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/manager.hpp
similarity index 82%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/manager.hpp
index e2634c7feb34a..5d3d224673124 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/manager.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_behavior_path_start_planner_module/start_planner_module.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_start_planner_module/start_planner_module.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -53,4 +53,4 @@ class StartPlannerModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_path.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_path.hpp
similarity index 79%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_path.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_path.hpp
index d0a764b7b3f1a..764499ea6dbcf 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_path.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_path.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -34,4 +34,4 @@ struct PullOutPath
   Pose end_pose{};
 };
 }  // namespace autoware::behavior_path_planner
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PATH_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp
similarity index 85%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp
index 77049ab1d9179..7b30745057743 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_start_planner_module/data_structs.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_path.hpp"
-#include "autoware_behavior_path_start_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_start_planner_module/data_structs.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_path.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
 
 #include <geometry_msgs/msg/pose_stamped.hpp>
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
@@ -30,8 +30,8 @@
 
 namespace autoware::behavior_path_planner
 {
+using autoware::universe_utils::LinearRing2d;
 using geometry_msgs::msg::Pose;
-using tier4_autoware_utils::LinearRing2d;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 class PullOutPlannerBase
@@ -97,4 +97,4 @@ class PullOutPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__PULL_OUT_PLANNER_BASE_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/shift_pull_out.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/shift_pull_out.hpp
similarity index 84%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/shift_pull_out.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/shift_pull_out.hpp
index df9f461cb9220..92cad1c2eb8b8 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/shift_pull_out.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/shift_pull_out.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
 
-#include "autoware_behavior_path_start_planner_module/pull_out_path.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_planner_base.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_path.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_planner_base.hpp"
 
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -63,4 +63,4 @@ class ShiftPullOut : public PullOutPlannerBase
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__SHIFT_PULL_OUT_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/start_planner_module.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/start_planner_module.hpp
similarity index 92%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/start_planner_module.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/start_planner_module.hpp
index 1d09502fe1a64..7554098414442 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/start_planner_module.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/start_planner_module.hpp
@@ -12,22 +12,22 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
-
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
-#include "autoware_behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_start_planner_module/data_structs.hpp"
-#include "autoware_behavior_path_start_planner_module/freespace_pull_out.hpp"
-#include "autoware_behavior_path_start_planner_module/geometric_pull_out.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_path.hpp"
-#include "autoware_behavior_path_start_planner_module/shift_pull_out.hpp"
-
-#include <autoware_lane_departure_checker/lane_departure_checker.hpp>
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
+
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/common_module_data.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/geometric_parallel_parking.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_start_planner_module/data_structs.hpp"
+#include "autoware/behavior_path_start_planner_module/freespace_pull_out.hpp"
+#include "autoware/behavior_path_start_planner_module/geometric_pull_out.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_path.hpp"
+#include "autoware/behavior_path_start_planner_module/shift_pull_out.hpp"
+
+#include <autoware/lane_departure_checker/lane_departure_checker.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
@@ -337,4 +337,4 @@ class StartPlannerModule : public SceneModuleInterface
 };
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__START_PLANNER_MODULE_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/util.hpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/util.hpp
similarity index 78%
rename from planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/util.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/util.hpp
index 0cbb0fd504c4b..09485e68852a3 100644
--- a/planning/autoware_behavior_path_start_planner_module/include/autoware_behavior_path_start_planner_module/util.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/include/autoware/behavior_path_start_planner_module/util.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
-#include "autoware_behavior_path_start_planner_module/pull_out_path.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_start_planner_module/pull_out_path.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_perception_msgs/msg/predicted_path.hpp>
@@ -55,4 +55,4 @@ std::optional<PathWithLaneId> extractCollisionCheckSection(
   const PullOutPath & path, const double collision_check_distance_from_end);
 }  // namespace autoware::behavior_path_planner::start_planner_utils
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_START_PLANNER_MODULE__UTIL_HPP_
diff --git a/planning/autoware_behavior_path_start_planner_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_path_start_planner_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/package.xml
index 5b2ad9f8dc9c1..77f83993f2ccc 100644
--- a/planning/autoware_behavior_path_start_planner_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/package.xml
@@ -22,11 +22,11 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_rtc_interface</depend>
-  <depend>motion_utils</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_start_planner_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_start_planner_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/plugins.xml
diff --git a/planning/autoware_behavior_path_start_planner_module/src/debug.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/debug.cpp
similarity index 94%
rename from planning/autoware_behavior_path_start_planner_module/src/debug.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/debug.cpp
index 1c07d175a3d09..1b25d8eac8846 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/debug.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/debug.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/debug.hpp"
+#include "autoware/behavior_path_start_planner_module/debug.hpp"
 
 namespace autoware::behavior_path_planner
 {
diff --git a/planning/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp
similarity index 92%
rename from planning/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp
index 901c9f6ff2263..137a2c53321fc 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/freespace_pull_out.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/freespace_pull_out.hpp"
+#include "autoware/behavior_path_start_planner_module/freespace_pull_out.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_start_planner_module/util.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
 
 #include <lanelet2_extension/utility/utilities.hpp>
 
@@ -81,7 +81,7 @@ std::optional<PullOutPath> FreespacePullOut::plan(
     const size_t index = std::distance(last_path.points.begin(), it);
     if (index == 0) continue;
     const double distance =
-      tier4_autoware_utils::calcDistance2d(end_pose.position, it->point.pose.position);
+      autoware::universe_utils::calcDistance2d(end_pose.position, it->point.pose.position);
     if (distance < th_end_distance) {
       last_path.points.erase(it, last_path.points.end());
       break;
diff --git a/planning/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp
similarity index 86%
rename from planning/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp
index b19abfc717ec0..f3239d41bc1b9 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/geometric_pull_out.cpp
@@ -12,20 +12,20 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/geometric_pull_out.hpp"
+#include "autoware/behavior_path_start_planner_module/geometric_pull_out.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_start_planner_module/util.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 
 #include <lanelet2_extension/utility/utilities.hpp>
 
+using autoware::motion_utils::findNearestIndex;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
 using lanelet::utils::getArcCoordinates;
-using motion_utils::findNearestIndex;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
 namespace autoware::behavior_path_planner
 {
 using start_planner_utils::getPullOutLanes;
@@ -92,14 +92,14 @@ std::optional<PullOutPath> GeometricPullOut::plan(
     // insert stop velocity to first arc path end
     output.partial_paths.front().points.back().point.longitudinal_velocity_mps = 0.0;
     const double arc_length_on_first_arc_path =
-      motion_utils::calcArcLength(output.partial_paths.front().points);
+      autoware::motion_utils::calcArcLength(output.partial_paths.front().points);
     const double time_to_center = arc_length_on_first_arc_path / (2 * velocity);
     const double average_velocity = arc_length_on_first_arc_path / (time_to_center * 2);
     const double average_acceleration = average_velocity / (time_to_center * 2);
     output.pairs_terminal_velocity_and_accel.push_back(
       std::make_pair(average_velocity, average_acceleration));
     const double arc_length_on_second_arc_path =
-      motion_utils::calcArcLength(planner_.getArcPaths().at(1).points);
+      autoware::motion_utils::calcArcLength(planner_.getArcPaths().at(1).points);
     output.pairs_terminal_velocity_and_accel.push_back(
       std::make_pair(velocity, velocity * velocity / (2 * arc_length_on_second_arc_path)));
   } else {
@@ -109,7 +109,7 @@ std::optional<PullOutPath> GeometricPullOut::plan(
 
     // Calculate the acceleration required to reach the forward parking velocity at the center of
     // the path, assuming constant acceleration and deceleration.
-    const double arc_length_on_path = motion_utils::calcArcLength(combined_path.points);
+    const double arc_length_on_path = autoware::motion_utils::calcArcLength(combined_path.points);
     output.pairs_terminal_velocity_and_accel.push_back(
       std::make_pair(velocity, velocity * velocity / 2 * arc_length_on_path));
   }
diff --git a/planning/autoware_behavior_path_start_planner_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/manager.cpp
similarity index 98%
rename from planning/autoware_behavior_path_start_planner_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/manager.cpp
index 5bc22a01c1e09..9451bb3870648 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/manager.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/manager.hpp"
+#include "autoware/behavior_path_start_planner_module/manager.hpp"
 
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -91,6 +91,8 @@ void StartPlannerModuleManager::init(rclcpp::Node * node)
   p.divide_pull_out_path = node->declare_parameter<bool>(ns + "divide_pull_out_path");
   p.parallel_parking_parameters.pull_out_velocity =
     node->declare_parameter<double>(ns + "geometric_pull_out_velocity");
+  p.parallel_parking_parameters.pull_out_arc_path_interval =
+    node->declare_parameter<double>(ns + "arc_path_interval");
   p.parallel_parking_parameters.pull_out_lane_departure_margin =
     node->declare_parameter<double>(ns + "lane_departure_margin");
   p.lane_departure_check_expansion_margin =
@@ -349,7 +351,7 @@ void StartPlannerModuleManager::init(rclcpp::Node * node)
 void StartPlannerModuleManager::updateModuleParams(
   [[maybe_unused]] const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   auto & p = parameters_;
 
@@ -416,6 +418,9 @@ void StartPlannerModuleManager::updateModuleParams(
       parameters, ns + "maximum_longitudinal_deviation", p->maximum_longitudinal_deviation);
     updateParam<bool>(parameters, ns + "enable_geometric_pull_out", p->enable_geometric_pull_out);
     updateParam<bool>(parameters, ns + "divide_pull_out_path", p->divide_pull_out_path);
+    updateParam<double>(
+      parameters, ns + "arc_path_interval",
+      p->parallel_parking_parameters.pull_out_arc_path_interval);
     updateParam<double>(
       parameters, ns + "lane_departure_margin",
       p->parallel_parking_parameters.pull_out_lane_departure_margin);
diff --git a/planning/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp
similarity index 90%
rename from planning/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp
index 4e554adc9b931..971c9a48e8b40 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/shift_pull_out.cpp
@@ -12,25 +12,25 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/shift_pull_out.hpp"
+#include "autoware/behavior_path_start_planner_module/shift_pull_out.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_start_planner_module/util.hpp"
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 
 #include <lanelet2_extension/utility/utilities.hpp>
 
 #include <memory>
 #include <vector>
 
+using autoware::motion_utils::findNearestIndex;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
 using lanelet::utils::getArcCoordinates;
-using motion_utils::findNearestIndex;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
 namespace autoware::behavior_path_planner
 {
 using start_planner_utils::getPullOutLanes;
@@ -107,9 +107,10 @@ std::optional<PullOutPath> ShiftPullOut::plan(
     // this ensures that the backward_path stays within the drivable area when starting from a
     // narrow place.
 
-    const size_t start_segment_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
-      shift_path.points, start_pose, common_parameters.ego_nearest_dist_threshold,
-      common_parameters.ego_nearest_yaw_threshold);
+    const size_t start_segment_idx =
+      autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
+        shift_path.points, start_pose, common_parameters.ego_nearest_dist_threshold,
+        common_parameters.ego_nearest_yaw_threshold);
 
     const auto cropped_path = lane_departure_checker_->cropPointsOutsideOfLanes(
       lanelet_map_ptr, shift_path, start_segment_idx);
@@ -124,15 +125,18 @@ std::optional<PullOutPath> ShiftPullOut::plan(
       if (cropped_path.points.size() < 2) return false;
       const double max_long_offset = parameters_.maximum_longitudinal_deviation;
       const size_t start_segment_idx_after_crop =
-        motion_utils::findFirstNearestIndexWithSoftConstraints(cropped_path.points, start_pose);
+        autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
+          cropped_path.points, start_pose);
 
       // if the start segment id after crop is not 0, then the cropping is not excessive
       if (start_segment_idx_after_crop != 0) return true;
 
-      const auto long_offset_to_closest_point = motion_utils::calcLongitudinalOffsetToSegment(
-        cropped_path.points, start_segment_idx_after_crop, start_pose.position);
-      const auto long_offset_to_next_point = motion_utils::calcLongitudinalOffsetToSegment(
-        cropped_path.points, start_segment_idx_after_crop + 1, start_pose.position);
+      const auto long_offset_to_closest_point =
+        autoware::motion_utils::calcLongitudinalOffsetToSegment(
+          cropped_path.points, start_segment_idx_after_crop, start_pose.position);
+      const auto long_offset_to_next_point =
+        autoware::motion_utils::calcLongitudinalOffsetToSegment(
+          cropped_path.points, start_segment_idx_after_crop + 1, start_pose.position);
       return std::abs(long_offset_to_closest_point - long_offset_to_next_point) < max_long_offset;
     };
 
@@ -171,7 +175,7 @@ bool ShiftPullOut::refineShiftedPathToStartPose(
   size_t iteration = 0;
   while (iteration < MAX_ITERATION) {
     const double lateral_offset =
-      motion_utils::calcLateralOffset(shifted_path.path.points, start_pose.position);
+      autoware::motion_utils::calcLateralOffset(shifted_path.path.points, start_pose.position);
 
     PathShifter path_shifter;
     path_shifter.setPath(shifted_path.path);
@@ -193,7 +197,7 @@ bool ShiftPullOut::refineShiftedPathToStartPose(
 
     if (is_within_tolerance(
           lateral_offset,
-          motion_utils::calcLateralOffset(shifted_path.path.points, start_pose.position),
+          autoware::motion_utils::calcLateralOffset(shifted_path.path.points, start_pose.position),
           TOLERANCE)) {
       return true;
     }
@@ -419,7 +423,8 @@ double ShiftPullOut::calcBeforeShiftedArcLength(
   double before_arc_length{0.0};
   double after_arc_length{0.0};
 
-  for (const auto & [k, segment_length] : motion_utils::calcCurvatureAndArcLength(path.points)) {
+  for (const auto & [k, segment_length] :
+       autoware::motion_utils::calcCurvatureAndArcLength(path.points)) {
     // after shifted segment length
     const double after_segment_length =
       k < 0 ? segment_length * (1 - k * dr) : segment_length / (1 + k * dr);
diff --git a/planning/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp
similarity index 95%
rename from planning/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp
index cdf556b8363e0..9400f3ff40286 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/start_planner_module.hpp"
+#include "autoware/behavior_path_start_planner_module/start_planner_module.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/parking_departure/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_start_planner_module/debug.hpp"
-#include "autoware_behavior_path_start_planner_module/util.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/behavior_path_planner_common/utils/parking_departure/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_start_planner_module/debug.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
@@ -41,9 +41,9 @@
 
 using autoware::behavior_path_planner::utils::parking_departure::initializeCollisionCheckDebugMap;
 using autoware::behavior_path_planner::utils::path_safety_checker::ExtendedPredictedObject;
-using motion_utils::calcLateralOffset;
-using motion_utils::calcLongitudinalOffsetPose;
-using tier4_autoware_utils::calcOffsetPose;
+using autoware::motion_utils::calcLateralOffset;
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::universe_utils::calcOffsetPose;
 
 // set as macro so that calling function name will be printed.
 // debug print is heavy. turn on only when debugging.
@@ -274,7 +274,7 @@ bool StartPlannerModule::hasFinishedBackwardDriving() const
   // check ego car is close enough to pull out start pose and stopped
   const auto current_pose = planner_data_->self_odometry->pose.pose;
   const auto distance =
-    tier4_autoware_utils::calcDistance2d(current_pose, status_.pull_out_start_pose);
+    autoware::universe_utils::calcDistance2d(current_pose, status_.pull_out_start_pose);
 
   const bool is_near = distance < parameters_->th_arrived_distance;
   const double ego_vel = utils::l2Norm(planner_data_->self_odometry->twist.twist.linear);
@@ -383,7 +383,7 @@ bool StartPlannerModule::isPreventingRearVehicleFromPassingThrough() const
       boundary_line.begin(), boundary_line.end(), [&boundary_path](const auto & boundary_point) {
         const double x = boundary_point.x();
         const double y = boundary_point.y();
-        boundary_path.push_back(tier4_autoware_utils::createPoint(x, y, 0.0));
+        boundary_path.push_back(autoware::universe_utils::createPoint(x, y, 0.0));
       });
 
     return std::fabs(calcLateralOffset(boundary_path, search_pose.position));
@@ -393,12 +393,12 @@ bool StartPlannerModule::isPreventingRearVehicleFromPassingThrough() const
   const auto centerline_path =
     route_handler->getCenterLinePath(target_lanes, 0.0, std::numeric_limits<double>::max());
   const auto start_pose_nearest_segment_index =
-    motion_utils::findNearestSegmentIndex(centerline_path.points, start_pose);
+    autoware::motion_utils::findNearestSegmentIndex(centerline_path.points, start_pose);
   if (!start_pose_nearest_segment_index) return false;
 
-  const auto start_pose_point_msg = tier4_autoware_utils::createPoint(
+  const auto start_pose_point_msg = autoware::universe_utils::createPoint(
     start_pose.position.x, start_pose.position.y, start_pose.position.z);
-  const auto starting_pose_lateral_offset = motion_utils::calcLateralOffset(
+  const auto starting_pose_lateral_offset = autoware::motion_utils::calcLateralOffset(
     centerline_path.points, start_pose_point_msg, start_pose_nearest_segment_index.value());
   if (std::isnan(starting_pose_lateral_offset)) return false;
 
@@ -412,8 +412,8 @@ bool StartPlannerModule::isPreventingRearVehicleFromPassingThrough() const
       geometry_msgs::msg::Pose & ego_overhang_point_as_pose,
       const bool ego_is_merging_from_the_left) -> std::optional<std::pair<double, double>> {
     const auto local_vehicle_footprint = vehicle_info_.createFootprint();
-    const auto vehicle_footprint =
-      transformVector(local_vehicle_footprint, tier4_autoware_utils::pose2transform(current_pose));
+    const auto vehicle_footprint = transformVector(
+      local_vehicle_footprint, autoware::universe_utils::pose2transform(current_pose));
     double smallest_lateral_gap_between_ego_and_border = std::numeric_limits<double>::max();
     double corresponding_lateral_gap_with_other_lane_bound = std::numeric_limits<double>::max();
 
@@ -505,7 +505,7 @@ bool StartPlannerModule::isPreventingRearVehicleFromPassingThrough() const
     std::for_each(
       target_objects_on_lane.on_current_lane.begin(), target_objects_on_lane.on_current_lane.end(),
       [&](const auto & o) {
-        const auto arc_length = motion_utils::calcSignedArcLength(
+        const auto arc_length = autoware::motion_utils::calcSignedArcLength(
           centerline_path.points, current_pose.position, o.initial_pose.pose.position);
         if (arc_length > 0.0) return;
         if (std::abs(arc_length) >= std::abs(arc_length_to_closet_object)) return;
@@ -524,7 +524,7 @@ bool StartPlannerModule::isPreventingRearVehicleFromPassingThrough() const
 bool StartPlannerModule::isCloseToOriginalStartPose() const
 {
   const Pose start_pose = planner_data_->route_handler->getOriginalStartPose();
-  return tier4_autoware_utils::calcDistance2d(
+  return autoware::universe_utils::calcDistance2d(
            start_pose.position, planner_data_->self_odometry->pose.pose.position) >
          parameters_->th_arrived_distance;
 }
@@ -532,7 +532,7 @@ bool StartPlannerModule::isCloseToOriginalStartPose() const
 bool StartPlannerModule::hasArrivedAtGoal() const
 {
   const Pose goal_pose = planner_data_->route_handler->getGoalPose();
-  return tier4_autoware_utils::calcDistance2d(
+  return autoware::universe_utils::calcDistance2d(
            goal_pose.position, planner_data_->self_odometry->pose.pose.position) <
          parameters_->th_arrived_distance;
 }
@@ -684,10 +684,10 @@ BehaviorModuleOutput StartPlannerModule::plan()
   const auto steering_factor_direction = getSteeringFactorDirection(output);
 
   if (status_.driving_forward) {
-    const double start_distance = motion_utils::calcSignedArcLength(
+    const double start_distance = autoware::motion_utils::calcSignedArcLength(
       path.points, planner_data_->self_odometry->pose.pose.position,
       status_.pull_out_path.start_pose.position);
-    const double finish_distance = motion_utils::calcSignedArcLength(
+    const double finish_distance = autoware::motion_utils::calcSignedArcLength(
       path.points, planner_data_->self_odometry->pose.pose.position,
       status_.pull_out_path.end_pose.position);
     updateRTCStatus(start_distance, finish_distance);
@@ -698,7 +698,7 @@ BehaviorModuleOutput StartPlannerModule::plan()
     setDebugData();
     return output;
   }
-  const double distance = motion_utils::calcSignedArcLength(
+  const double distance = autoware::motion_utils::calcSignedArcLength(
     path.points, planner_data_->self_odometry->pose.pose.position,
     status_.pull_out_path.start_pose.position);
   updateRTCStatus(0.0, distance);
@@ -788,10 +788,10 @@ BehaviorModuleOutput StartPlannerModule::planWaitingApproval()
   const auto steering_factor_direction = getSteeringFactorDirection(output);
 
   if (status_.driving_forward) {
-    const double start_distance = motion_utils::calcSignedArcLength(
+    const double start_distance = autoware::motion_utils::calcSignedArcLength(
       stop_path.points, planner_data_->self_odometry->pose.pose.position,
       status_.pull_out_path.start_pose.position);
-    const double finish_distance = motion_utils::calcSignedArcLength(
+    const double finish_distance = autoware::motion_utils::calcSignedArcLength(
       stop_path.points, planner_data_->self_odometry->pose.pose.position,
       status_.pull_out_path.end_pose.position);
     updateRTCStatus(start_distance, finish_distance);
@@ -803,7 +803,7 @@ BehaviorModuleOutput StartPlannerModule::planWaitingApproval()
 
     return output;
   }
-  const double distance = motion_utils::calcSignedArcLength(
+  const double distance = autoware::motion_utils::calcSignedArcLength(
     stop_path.points, planner_data_->self_odometry->pose.pose.position,
     status_.pull_out_path.start_pose.position);
   updateRTCStatus(0.0, distance);
@@ -888,20 +888,16 @@ PriorityOrder StartPlannerModule::determinePriorityOrder(
         order_priority.emplace_back(i, planner);
       }
     }
-    return order_priority;
-  }
-
-  if (search_priority == "short_back_distance") {
+  } else if (search_priority == "short_back_distance") {
     for (size_t i = 0; i < start_pose_candidates_num; i++) {
       for (const auto & planner : start_planners_) {
         order_priority.emplace_back(i, planner);
       }
     }
-    return order_priority;
+  } else {
+    RCLCPP_ERROR(getLogger(), "Invalid search_priority: %s", search_priority.c_str());
+    throw std::domain_error("[start_planner] invalid search_priority");
   }
-
-  RCLCPP_ERROR(getLogger(), "Invalid search_priority: %s", search_priority.c_str());
-  throw std::domain_error("[start_planner] invalid search_priority");
   return order_priority;
 }
 
@@ -913,7 +909,7 @@ bool StartPlannerModule::findPullOutPath(
   // if start_pose_candidate is far from refined_start_pose, backward driving is necessary
   constexpr double epsilon = 0.01;
   const double backwards_distance =
-    tier4_autoware_utils::calcDistance2d(start_pose_candidate, refined_start_pose);
+    autoware::universe_utils::calcDistance2d(start_pose_candidate, refined_start_pose);
   const bool backward_is_unnecessary = backwards_distance < epsilon;
 
   planner->setCollisionCheckMargin(collision_check_margin);
@@ -1240,7 +1236,7 @@ PredictedObjects StartPlannerModule::filterStopObjectsInPullOutLanes(
 bool StartPlannerModule::hasReachedFreespaceEnd() const
 {
   const auto & current_pose = planner_data_->self_odometry->pose.pose;
-  return tier4_autoware_utils::calcDistance2d(current_pose, status_.pull_out_path.end_pose) <
+  return autoware::universe_utils::calcDistance2d(current_pose, status_.pull_out_path.end_pose) <
          parameters_->th_arrived_distance;
 }
 
@@ -1282,8 +1278,8 @@ bool StartPlannerModule::hasFinishedCurrentPath()
   const auto current_path = getCurrentPath();
   const auto current_path_end = current_path.points.back();
   const auto self_pose = planner_data_->self_odometry->pose.pose;
-  const bool is_near_target = tier4_autoware_utils::calcDistance2d(current_path_end, self_pose) <
-                              parameters_->th_arrived_distance;
+  const bool is_near_target = autoware::universe_utils::calcDistance2d(
+                                current_path_end, self_pose) < parameters_->th_arrived_distance;
 
   return is_near_target && isStopped();
 }
@@ -1294,10 +1290,10 @@ TurnSignalInfo StartPlannerModule::calcTurnSignalInfo()
   if (path.points.empty()) return getPreviousModuleOutput().turn_signal_info;
 
   const Pose & current_pose = planner_data_->self_odometry->pose.pose;
-  const auto shift_start_idx =
-    motion_utils::findNearestIndex(path.points, status_.pull_out_path.start_pose.position);
+  const auto shift_start_idx = autoware::motion_utils::findNearestIndex(
+    path.points, status_.pull_out_path.start_pose.position);
   const auto shift_end_idx =
-    motion_utils::findNearestIndex(path.points, status_.pull_out_path.end_pose.position);
+    autoware::motion_utils::findNearestIndex(path.points, status_.pull_out_path.end_pose.position);
   const lanelet::ConstLanelets current_lanes = utils::getCurrentLanes(planner_data_);
 
   const auto is_ignore_signal = [this](const lanelet::Id & id) {
@@ -1336,8 +1332,9 @@ TurnSignalInfo StartPlannerModule::calcTurnSignalInfo()
     }
     constexpr double distance_threshold = 1.0;
     const auto stop_point = status_.pull_out_path.partial_paths.front().points.back();
-    const double distance_from_ego_to_stop_point = std::abs(motion_utils::calcSignedArcLength(
-      path.points, stop_point.point.pose.position, current_pose.position));
+    const double distance_from_ego_to_stop_point =
+      std::abs(autoware::motion_utils::calcSignedArcLength(
+        path.points, stop_point.point.pose.position, current_pose.position));
     return distance_from_ego_to_stop_point < distance_threshold;
   });
 
@@ -1449,7 +1446,7 @@ bool StartPlannerModule::isGoalBehindOfEgoInSameRouteSegment() const
   // Return true when the goal is located behind of ego.
   const auto ego_lane_path = rh->getCenterLinePath(
     lanelet::ConstLanelets{ego_lanelet}, 0.0, std::numeric_limits<double>::max());
-  const auto dist_ego_to_goal = motion_utils::calcSignedArcLength(
+  const auto dist_ego_to_goal = autoware::motion_utils::calcSignedArcLength(
     ego_lane_path.points, getEgoPosition(), rh->getGoalPose().position);
 
   const bool is_goal_behind_of_ego = (dist_ego_to_goal < 0.0);
@@ -1562,6 +1559,9 @@ void StartPlannerModule::setDrivableAreaInfo(BehaviorModuleOutput & output) cons
 
 void StartPlannerModule::setDebugData()
 {
+  using autoware::universe_utils::createDefaultMarker;
+  using autoware::universe_utils::createMarkerColor;
+  using autoware::universe_utils::createMarkerScale;
   using lanelet::visualization::laneletsAsTriangleMarkerArray;
   using marker_utils::addFootprintMarker;
   using marker_utils::createFootprintMarkerArray;
@@ -1572,9 +1572,6 @@ void StartPlannerModule::setDebugData()
   using marker_utils::showPolygon;
   using marker_utils::showPredictedPath;
   using marker_utils::showSafetyCheckInfo;
-  using tier4_autoware_utils::createDefaultMarker;
-  using tier4_autoware_utils::createMarkerColor;
-  using tier4_autoware_utils::createMarkerScale;
   using visualization_msgs::msg::Marker;
 
   const auto red_color = createMarkerColor(1.0, 0.0, 0.0, 0.999);
@@ -1588,7 +1585,7 @@ void StartPlannerModule::setDebugData()
     for (auto & marker : added.markers) {
       marker.lifetime = life_time;
     }
-    tier4_autoware_utils::appendMarkerArray(added, &target_marker_array);
+    autoware::universe_utils::appendMarkerArray(added, &target_marker_array);
   };
 
   debug_marker_.markers.clear();
@@ -1618,7 +1615,7 @@ void StartPlannerModule::setDebugData()
       {PlannerType::GEOMETRIC, parameters_->geometric_collision_check_distance_from_end}};
 
     double collision_check_distance_from_end = collision_check_distances[status_.planner_type];
-    const auto collision_check_end_pose = motion_utils::calcLongitudinalOffsetPose(
+    const auto collision_check_end_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
       getFullPath().points, status_.pull_out_path.end_pose.position,
       collision_check_distance_from_end);
     if (collision_check_end_pose) {
@@ -1672,10 +1669,10 @@ void StartPlannerModule::setDebugData()
     PathWithLaneId path_shift_start_to_end{};
     const auto shift_path = status_.pull_out_path.partial_paths.front();
     {
-      const size_t pull_out_start_idx = motion_utils::findNearestIndex(
+      const size_t pull_out_start_idx = autoware::motion_utils::findNearestIndex(
         shift_path.points, status_.pull_out_path.start_pose.position);
-      const size_t pull_out_end_idx =
-        motion_utils::findNearestIndex(shift_path.points, status_.pull_out_path.end_pose.position);
+      const size_t pull_out_end_idx = autoware::motion_utils::findNearestIndex(
+        shift_path.points, status_.pull_out_path.end_pose.position);
 
       path_shift_start_to_end.points.insert(
         path_shift_start_to_end.points.begin(), shift_path.points.begin() + pull_out_start_idx,
diff --git a/planning/autoware_behavior_path_start_planner_module/src/util.cpp b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/util.cpp
similarity index 86%
rename from planning/autoware_behavior_path_start_planner_module/src/util.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/util.cpp
index e8197fcf095cc..3fe9524e34a17 100644
--- a/planning/autoware_behavior_path_start_planner_module/src/util.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/util.cpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_start_planner_module/util.hpp"
+#include "autoware/behavior_path_start_planner_module/util.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <boost/geometry/algorithms/dispatch/distance.hpp>
 
@@ -65,7 +65,7 @@ PathWithLaneId getBackwardPath(
     const double lateral_distance_to_shoulder_center = current_pose_arc_coords.distance;
     for (size_t i = 0; i < backward_path.points.size(); ++i) {
       auto & p = backward_path.points.at(i).point.pose;
-      p = tier4_autoware_utils::calcOffsetPose(p, 0, lateral_distance_to_shoulder_center, 0);
+      p = autoware::universe_utils::calcOffsetPose(p, 0, lateral_distance_to_shoulder_center, 0);
     }
   }
 
@@ -115,16 +115,16 @@ std::optional<PathWithLaneId> extractCollisionCheckSection(
   if (full_path.points.empty()) return std::nullopt;
   // Find the start index for collision check section based on the shift start pose
   const auto shift_start_idx =
-    motion_utils::findNearestIndex(full_path.points, path.start_pose.position);
+    autoware::motion_utils::findNearestIndex(full_path.points, path.start_pose.position);
 
   // Find the end index for collision check section based on the end pose and collision check
   // distance
   const auto collision_check_end_idx = [&]() -> size_t {
-    const auto end_pose_offset = motion_utils::calcLongitudinalOffsetPose(
+    const auto end_pose_offset = autoware::motion_utils::calcLongitudinalOffsetPose(
       full_path.points, path.end_pose.position, collision_check_distance_from_end);
 
     return end_pose_offset
-             ? motion_utils::findNearestIndex(full_path.points, end_pose_offset->position)
+             ? autoware::motion_utils::findNearestIndex(full_path.points, end_pose_offset->position)
              : full_path.points.size() - 1;  // Use the last point if offset pose is not calculable
   }();
 
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/CMakeLists.txt b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/CMakeLists.txt
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/README.md b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/README.md
similarity index 88%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/README.md
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/README.md
index bc70c1fdd5c6a..33abc8eaf40ed 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/README.md
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/README.md
@@ -8,7 +8,7 @@ This is a rule-based avoidance module, which is running based on perception outp
 
 ![fig](./images/purpose/avoidance.png)
 
-This module has [RTC interface](../autoware_rtc_interface/README.md), and user can select operation mode from MANUAL/AUTO depending on the vehicle sensor performance. If user selects MANUAL mode, this module outputs avoidance path as candidate and waits operator approval. In the case where the sensor/perception performance is not enough and false positive maybe occurs, we recommend to use this module with MANUAL mode in order to prevent unnecessary avoidance maneuver.
+This module has [RTC interface](../../autoware_rtc_interface/README.md), and user can select operation mode from MANUAL/AUTO depending on the vehicle sensor performance. If user selects MANUAL mode, this module outputs avoidance path as candidate and waits operator approval. In the case where the sensor/perception performance is not enough and false positive maybe occurs, we recommend to use this module with MANUAL mode in order to prevent unnecessary avoidance maneuver.
 
 On the other hand, if user selects AUTO mode, this module modifies current following path without operator approval. If the sensor/perception performance is good enough, user can use this module with AUTO mode.
 
@@ -83,7 +83,7 @@ partition fillEgoStatus() {
 note right
   This module has following status:
   - RUNNING: target object is still remaining. Or, the ego hasn't returned original lane.
-  - CANCEL: taget obejct has gone. And, the ego hasn't initiated avoidance maneuver.
+  - CANCEL: target object has gone. And, the ego hasn't initiated avoidance maneuver.
   - SUCCEEDED: the ego finishes avoiding all objects and returns original lane.
 end note
 
@@ -122,7 +122,7 @@ if (Is there object that is potentially avoidable?) then (yes)
 :return true;
 note right
   Sometimes, we meet the situation where there is enough space to avoid
-  but ego speed is to high to avoid target obejct under lateral jerk constraints.
+  but ego speed is to high to avoid target object under lateral jerk constraints.
   This module keeps running in this case in order to decelerate ego speed.
 end note
 stop
@@ -747,6 +747,59 @@ The longitudinal positions depends on envelope polygon, ego vehicle specificatio
 
 ![fig](./images/path_generation/margin.png)
 
+### Lateral margin
+
+As mentioned above, user can adjust lateral margin by changing following two types parameter. The `soft_margin` is a soft constraint parameter for lateral margin. The `hard_margin` and `hard_margin_for_parked_vehicle` are hard constraint parameter.
+
+```yaml
+        car:
+          ...
+          lateral_margin:
+            soft_margin: 0.3                            # [m]
+            hard_margin: 0.2                            # [m]
+            hard_margin_for_parked_vehicle: 0.7         # [m]
+```
+
+Basically, this module tries to generate avoidance path in order to keep lateral distance, which is sum of `soft_margin` and `hard_margin`/`hard_margin_for_parked_vehicle`, from avoidance target object.
+
+![fig](./images/path_generation/soft_hard.png)
+
+But if there isn't enough space to keep `soft_margin` distance, this module shortens soft constraint lateral margin. The parameter `soft_margin` is a maximum value of soft constraint, and actual soft margin can be a value between 0.0 and `soft_margin`. On the other hand, this module definitely keeps `hard_margin` or `hard_margin_for_parked_vehicle` depending on the situation. Thus, the minimum value of total lateral margin is `hard_margin`/`hard_margin_for_parked_vehicle`, and the maximum value is the sum of `hard_margin`/`hard_margin_for_parked_vehicle` and `soft_margin`.
+
+Following figure shows the situation where this module shortens lateral soft constraint in order not to drive opposite direction lane when user set a parameter `use_opposite_lane` to `false`.
+
+![fig](./images/path_generation/adjust_margin.png)
+
+This module avoids not only parked vehicle but also non-parked vehicle which stops temporarily for some reason (e.g. waiting for traffic light to change red to green.). Additionally, this module has two types hard margin parameters, `hard_margin` and `hard_margin_for_parked_vehicle` and judges if it's a parked vehicle or not for each vehicles because it takes the risk of vehicle doors opening suddenly and people getting out from parked vehicle into consideration.
+
+Basically, user had better make `hard_margin_for_parked_vehicle` larger than `hard_margin` to prevent collision with doors or people who suddenly get out from vehicle.
+
+On the other hand, this module has only one parameter `soft_margin` for soft lateral margin constraint.
+
+![fig](./images/path_generation/hard_margin.png)
+
+As the hard margin parameters the distance which the user definitely want to keep, they are used in the logic to check whether the ego can pass side of the target object without avoidance maneuver as well.
+
+If the lateral distance is less than `hard_margin`/`hard_margin_for_parked_vehicle` when assuming that the ego follows current lane without avoidance maneuver, this module thinks the ego can not pass the side of the object safely and the ego must avoid it. In this case, this module inserts stop point until the avoidance maneuver is allowed to execute so that the ego can avoid the object after approval. (e.g. The ego keeps stopping in front of such a object until operator approves avoidance maneuver if user uses this module in MANUAL mode.)
+
+![fig](./images/path_generation/must_avoid.png)
+
+On the other hand, if the lateral distance is larger than `hard_margin`/`hard_margin_for_parked_vehicle`, this module doesn't insert stop point even when it's waiting approval because it thinks it's possible to pass the side of the object safely.
+
+![fig](./images/path_generation/pass_through.png)
+
+### When there is not enough space
+
+This module inserts stop point only when the ego can potentially avoid the object. So, if it is not able to keep distance more than `hard_margin`/`hard_margin_for_parked_vehicle`, this module does nothing. Following figure shows the situation where this module is not able to keep enough lateral distance when user set a parameter `use_opposite_lane` to `false`.
+
+![fig](./images/path_generation/do_nothing.png)
+
+!!! info
+
+    In this situation, obstacle stop feature in [obstacle_cruise_planner](../../autoware_obstacle_cruise_planner/README.md) is responsible for ego vehicle safety.
+
+![fig](./images/path_generation/insufficient_drivable_space.png)
+
 ### Shift length calculation
 
 The lateral shift length is sum of `overhang_distance`, lateral margin, whose value is set in config file, and the half of ego vehicle width defined in `vehicle_info.param.yaml`. On the other hand, the module limits the shift length depending on the space which the module can use for avoidance maneuver and the parameters `soft_drivable_bound_margin` `hard_drivable_bound_margin`. Basically, the shift length is limited so that the ego doesn't get closer than `soft_drivable_bound_margin` to drivable boundary. But it allows to relax the threshold `soft_drivable_bound_margin` to `hard_drivable_bound_margin` when the road is narrow.
@@ -804,6 +857,34 @@ The `prepare_length` is calculated as the product of ego speed and `max_prepare_
 
 ![fig](./images/path_generation/shift_line.png)
 
+## Planning at RED traffic light
+
+This module takes traffic light information into account so that the ego can behave properly. Sometimes, the ego straddles lane boundary but we want to prevent the ego from stopping in front of red traffic signal in such a situation. This is because the ego will block adjacent lane and it's inconvenient for other vehicles.
+
+![fig](./images/traffic_light/traffic_light.png)
+
+So, this module controls shift length and shift start/end point in order to prevent above situation.
+
+### Control shift length
+
+At first, if the ego hasn't initiated avoidance maneuver yet, this module limits maximum shift length and uses **ONLY** current lane during red traffic signal. This prevents the ego from blocking other vehicles even if this module executes avoidance maneuver and the ego is caught by red traffic signal.
+
+![fig](./images/traffic_light/limit_shift_length.png)
+
+### Control avoidance shift start point
+
+Additionally, if the target object is farther than stop line for traffic light, this module set avoidance shift start point on the stop line in order to prevent the ego from stopping by red traffic signal in middle of avoidance maneuver.
+
+![fig](./images/traffic_light/shift_from_current_pos.png)
+![fig](./images/traffic_light/shift_from_stop_line.png)
+
+### Control return shift end point
+
+If the ego has already initiated avoidance maneuver, this module tries to set return shift end point on the stop line.
+
+![fig](./images/traffic_light/return_after_stop_line.png)
+![fig](./images/traffic_light/return_before_stop_line.png)
+
 ## Safety check
 
 This feature can be enable by setting following parameter to `true`.
@@ -915,15 +996,6 @@ use_freespace_areas: true
 
 ## Future extensions / Unimplemented parts
 
-- **Planning on the intersection**
-  - If it is known that the ego vehicle is going to stop in the middle of avoidance execution (for example, at a red traffic light), sometimes the avoidance should not be executed until the vehicle is ready to move. This is because it is impossible to predict how the environment will change during the stop. This is especially important at intersections.
-
-![fig](./images/intersection_problem.drawio.svg)
-
-- **Safety Check**
-
-  - In the current implementation, it is only the jerk limit that permits the avoidance execution. It is needed to consider the collision with other vehicles when change the path shape.
-
 - **Consideration of the speed of the avoidance target**
 
   - In the current implementation, only stopped vehicle is targeted as an avoidance target. It is needed to support the overtaking function for low-speed vehicles, such as a bicycle. (It is actually possible to overtake the low-speed objects by changing the parameter, but the logic is not supported and thus the safety cannot be guaranteed.)
@@ -1146,4 +1218,4 @@ The shift points are modified by a filtering process in order to get the expecte
 
 The avoidance specific parameter configuration file can be located at `src/autoware/launcher/planning_launch/config/scenario_planning/lane_driving/behavior_planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/static_obstacle_avoidance.param.yaml`.
 
-{{ json_to_markdown("planning/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json") }}
+{{ json_to_markdown("planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json") }}
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml
similarity index 92%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml
index 884812d0db716..324be9a73439e 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/config/static_obstacle_avoidance.param.yaml
@@ -5,10 +5,6 @@
       resample_interval_for_planning: 0.3               # [m] FOR DEVELOPER
       resample_interval_for_output: 4.0                 # [m] FOR DEVELOPER
 
-      # avoidance module common setting
-      enable_bound_clipping: false
-      disable_path_update: false
-
       # drivable area setting
       use_adjacent_lane: true
       use_opposite_lane: true
@@ -284,6 +280,19 @@
           max_acceleration: 0.5                         # [m/ss]
           min_velocity_to_limit_max_acceleration: 2.78  # [m/ss]
 
+      # path generation method. select "shift_line_base" or "optimization_base" or "both".
+      # "shift_line_base"  : Create avoidance path based on shift line.
+      #                      User can control avoidance maneuver execution via RTC.
+      #                      However, this method doesn't support complex avoidance scenario (e.g. S-shape maneuver).
+      # "optimization_base": This module selects avoidance target object
+      #                      and bpp module clips drivable area based on avoidance target object polygon shape.
+      #                      But this module doesn't modify the path shape.
+      #                      On the other hand, autoware_path_optimizer module optimizes path shape instead of this module
+      #                      so that the path can be within drivable area. This method is able to deal with complex avoidance scenario.
+      #                      However, user can't control avoidance manuever execution.
+      # "both"             : Use both method.
+      path_generation_method: "shift_line_base"
+
       shift_line_pipeline:
         trim:
           quantize_size: 0.1
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diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_not_edge.png b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_not_edge.png
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_not_edge.png
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_not_edge.png
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_stop_factor.png b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_stop_factor.png
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_stop_factor.png
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/never_avoid_stop_factor.png
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/none.png b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/none.png
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/none.png
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/none.png
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/parked_vehicle.svg b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/parked_vehicle.svg
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/parked_vehicle.svg
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/images/target_filter/parked_vehicle.svg
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diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp
similarity index 96%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp
index abbdbfdc2f1e6..f05230f4ec19d 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
 
 #include <rclcpp/time.hpp>
 
@@ -120,9 +120,6 @@ struct AvoidanceParameters
   // enable yield maneuver.
   bool enable_yield_maneuver_during_shifting{false};
 
-  // disable path update
-  bool disable_path_update{false};
-
   // use hatched road markings for avoidance
   bool use_hatched_road_markings{false};
 
@@ -313,6 +310,9 @@ struct AvoidanceParameters
   // policy
   std::string policy_lateral_margin{"best_effort"};
 
+  // path generation method.
+  std::string path_generation_method{"shift_line_base"};
+
   // target velocity matrix
   std::vector<double> velocity_map;
 
@@ -334,9 +334,6 @@ struct AvoidanceParameters
   // rss parameters
   utils::path_safety_checker::RSSparams rss_params{};
 
-  // clip left and right bounds for objects
-  bool enable_bound_clipping{false};
-
   // debug
   bool enable_other_objects_marker{false};
   bool enable_other_objects_info{false};
@@ -438,6 +435,9 @@ struct ObjectData  // avoidance target
   // is ambiguous stopped vehicle.
   bool is_ambiguous{false};
 
+  // is clip targe.
+  bool is_clip_target{false};
+
   // object direction.
   Direction direction{Direction::NONE};
 
@@ -673,4 +673,4 @@ struct DebugData
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DATA_STRUCTS_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/debug.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/debug.hpp
similarity index 86%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/debug.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/debug.hpp
index 043da5cbaf8cc..316501fbbd37f 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/debug.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/debug.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
 
 #include <memory>
 #include <string>
@@ -60,4 +60,4 @@ std::string toStrInfo(const autoware::behavior_path_planner::ShiftLine & sl);
 
 std::string toStrInfo(const autoware::behavior_path_planner::AvoidLine & ap);
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__DEBUG_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp
similarity index 93%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp
index 5d1dc168f6efe..8c46affbc64e3 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
 
 #include <algorithm>
 #include <limits>
@@ -177,14 +177,14 @@ class AvoidanceHelper
   double getShift(const Point & p) const
   {
     validate();
-    const auto idx = motion_utils::findNearestIndex(prev_reference_path_.points, p);
+    const auto idx = autoware::motion_utils::findNearestIndex(prev_reference_path_.points, p);
     return prev_spline_shift_path_.shift_length.at(idx);
   }
 
   double getLinearShift(const Point & p) const
   {
     validate();
-    const auto idx = motion_utils::findNearestIndex(prev_reference_path_.points, p);
+    const auto idx = autoware::motion_utils::findNearestIndex(prev_reference_path_.points, p);
     return prev_linear_shift_path_.shift_length.at(idx);
   }
 
@@ -278,7 +278,7 @@ class AvoidanceHelper
     }
 
     const auto start_idx = data_->findEgoIndex(path.points);
-    const auto distance = motion_utils::calcSignedArcLength(
+    const auto distance = autoware::motion_utils::calcSignedArcLength(
       path.points, start_idx, max_v_point_.value().first.position);
     return std::make_pair(distance, max_v_point_.value().second);
   }
@@ -290,7 +290,7 @@ class AvoidanceHelper
     const auto & a_now = data_->self_acceleration->accel.accel.linear.x;
     const auto & a_lim = use_hard_constraints ? p->max_deceleration : p->nominal_deceleration;
     const auto & j_lim = use_hard_constraints ? p->max_jerk : p->nominal_jerk;
-    const auto ret = motion_utils::calcDecelDistWithJerkAndAccConstraints(
+    const auto ret = autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
       getEgoSpeed(), target_velocity, a_now, a_lim, j_lim, -1.0 * j_lim);
 
     if (!!ret) {
@@ -449,15 +449,15 @@ class AvoidanceHelper
     const auto x_max_accel =
       v_neg_jerk * t_max_accel + p->max_acceleration * std::pow(t_max_accel, 2.0) / 2.0;
 
-    const auto point = motion_utils::calcLongitudinalOffsetPose(
+    const auto point = autoware::motion_utils::calcLongitudinalOffsetPose(
       path.points, getEgoPosition(), x_neg_jerk + x_max_accel);
     if (point.has_value()) {
       max_v_point_ = std::make_pair(point.value(), v_max);
       return;
     }
 
-    const auto x_end =
-      motion_utils::calcSignedArcLength(path.points, getEgoPosition(), path.points.size() - 1);
+    const auto x_end = autoware::motion_utils::calcSignedArcLength(
+      path.points, getEgoPosition(), path.points.size() - 1);
     const auto t_end =
       (std::sqrt(v0 * v0 + 2.0 * p->max_acceleration * x_end) - v0) / p->max_acceleration;
     const auto v_end = v0 + p->max_acceleration * t_end;
@@ -520,4 +520,4 @@ class AvoidanceHelper
 };
 }  // namespace autoware::behavior_path_planner::helper::static_obstacle_avoidance
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__HELPER_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/manager.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/manager.hpp
similarity index 77%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/manager.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/manager.hpp
index f3acf0c5f3abc..895390f91cc16 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/manager.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/manager.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/scene.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_manager_interface.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/scene.hpp"
 
 #include <rclcpp/node.hpp>
 #include <rclcpp/parameter.hpp>
@@ -52,4 +52,4 @@ class StaticObstacleAvoidanceModuleManager : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__MANAGER_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp
similarity index 96%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp
index 351c686f761d7..b761939589968 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp
@@ -11,12 +11,12 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
 
-#include "tier4_autoware_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
 
-#include <autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp>
+#include <autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp>
 #include <rclcpp/node.hpp>
 
 #include <autoware_perception_msgs/msg/detail/object_classification__struct.hpp>
@@ -26,8 +26,8 @@
 
 namespace autoware::behavior_path_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using autoware_perception_msgs::msg::ObjectClassification;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 AvoidanceParameters getParameter(rclcpp::Node * node)
 {
@@ -39,8 +39,8 @@ AvoidanceParameters getParameter(rclcpp::Node * node)
       getOrDeclareParameter<double>(*node, ns + "resample_interval_for_planning");
     p.resample_interval_for_output =
       getOrDeclareParameter<double>(*node, ns + "resample_interval_for_output");
-    p.enable_bound_clipping = getOrDeclareParameter<bool>(*node, ns + "enable_bound_clipping");
-    p.disable_path_update = getOrDeclareParameter<bool>(*node, ns + "disable_path_update");
+    p.path_generation_method =
+      getOrDeclareParameter<std::string>(*node, ns + "path_generation_method");
   }
 
   // drivable area
@@ -403,4 +403,4 @@ AvoidanceParameters getParameter(rclcpp::Node * node)
 }
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__PARAMETER_HELPER_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/scene.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/scene.hpp
similarity index 93%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/scene.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/scene.hpp
index ccd00078bdec1..635edb7c84f40 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/scene.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/scene.hpp
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
 
-#include "autoware_behavior_path_planner_common/interface/scene_module_interface.hpp"
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_interface.hpp"
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
 
 #include <rclcpp/logging.hpp>
 #include <rclcpp/node.hpp>
@@ -115,8 +115,8 @@ class StaticObstacleAvoidanceModule : public SceneModuleInterface
     const auto ego_idx = planner_data_->findEgoIndex(path.points);
 
     for (const auto & left_shift : left_shift_array_) {
-      const double start_distance =
-        motion_utils::calcSignedArcLength(path.points, ego_idx, left_shift.start_pose.position);
+      const double start_distance = autoware::motion_utils::calcSignedArcLength(
+        path.points, ego_idx, left_shift.start_pose.position);
       const double finish_distance = start_distance + left_shift.relative_longitudinal;
       rtc_interface_ptr_map_.at("left")->updateCooperateStatus(
         left_shift.uuid, true, State::RUNNING, start_distance, finish_distance, clock_->now());
@@ -128,8 +128,8 @@ class StaticObstacleAvoidanceModule : public SceneModuleInterface
     }
 
     for (const auto & right_shift : right_shift_array_) {
-      const double start_distance =
-        motion_utils::calcSignedArcLength(path.points, ego_idx, right_shift.start_pose.position);
+      const double start_distance = autoware::motion_utils::calcSignedArcLength(
+        path.points, ego_idx, right_shift.start_pose.position);
       const double finish_distance = start_distance + right_shift.relative_longitudinal;
       rtc_interface_ptr_map_.at("right")->updateCooperateStatus(
         right_shift.uuid, true, State::RUNNING, start_distance, finish_distance, clock_->now());
@@ -436,6 +436,8 @@ class StaticObstacleAvoidanceModule : public SceneModuleInterface
 
   UUID candidate_uuid_;
 
+  ObjectDataArray clip_objects_;
+
   // TODO(Satoshi OTA) create detected object manager.
   ObjectDataArray registered_objects_;
 
@@ -458,4 +460,4 @@ class StaticObstacleAvoidanceModule : public SceneModuleInterface
 
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SCENE_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp
similarity index 93%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp
index 8ca24db8042e7..671f9d6333a0c 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
 
-#include "autoware_behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/helper.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_shifter/path_shifter.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp"
 
 #include <memory>
 
@@ -244,4 +244,4 @@ class ShiftLineGenerator
 
 }  // namespace autoware::behavior_path_planner::utils::static_obstacle_avoidance
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__SHIFT_LINE_GENERATOR_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp
similarity index 55%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp
index 8e4cab52a7419..cfbd3f89308ac 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/type_alias.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/type_alias.hpp
@@ -12,16 +12,16 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
 
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_vehicle_msgs/msg/turn_indicators_command.hpp>
@@ -53,22 +53,22 @@ using tier4_planning_msgs::msg::AvoidanceDebugMsgArray;
 using tier4_rtc_msgs::msg::State;
 
 // tier4 utils functions
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcLateralDeviation;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::calcYawDeviation;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::createQuaternionFromRPY;
-using tier4_autoware_utils::getPoint;
-using tier4_autoware_utils::getPose;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
-using tier4_autoware_utils::pose2transform;
-using tier4_autoware_utils::toHexString;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcLateralDeviation;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::calcYawDeviation;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::createQuaternionFromRPY;
+using autoware::universe_utils::getPoint;
+using autoware::universe_utils::getPose;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware::universe_utils::pose2transform;
+using autoware::universe_utils::toHexString;
 }  // namespace autoware::behavior_path_planner
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__TYPE_ALIAS_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp
similarity index 93%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp
index dc061457f7045..1f68ef7d49c47 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
 
-#include "autoware_behavior_path_planner_common/data_manager.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_planner_common/data_manager.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/path_safety_checker_parameters.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
 
 #include <memory>
 #include <utility>
@@ -121,6 +121,8 @@ void updateRegisteredObject(
   ObjectDataArray & registered_objects, const ObjectDataArray & now_objects,
   const std::shared_ptr<AvoidanceParameters> & parameters);
 
+void updateClipObject(ObjectDataArray & clip_objects, AvoidancePlanningData & data);
+
 void compensateDetectionLost(
   const ObjectDataArray & registered_objects, ObjectDataArray & now_objects,
   ObjectDataArray & other_objects);
@@ -177,4 +179,4 @@ double calcDistanceToAvoidStartLine(
 
 }  // namespace autoware::behavior_path_planner::utils::static_obstacle_avoidance
 
-#endif  // AUTOWARE_BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_PATH_STATIC_OBSTACLE_AVOIDANCE_MODULE__UTILS_HPP_
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/package.xml b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/package.xml
similarity index 96%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/package.xml
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/package.xml
index a6da4d5550562..ea6d405f80f41 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/package.xml
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/package.xml
@@ -23,15 +23,16 @@
 
   <depend>autoware_behavior_path_planner</depend>
   <depend>autoware_behavior_path_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_objects_of_interest_marker_interface</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_rtc_interface</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>magic_enum</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>sensor_msgs</depend>
@@ -40,7 +41,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/plugins.xml b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/plugins.xml
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/plugins.xml
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json
similarity index 99%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json
index cb150514ac372..3e6f0ef1f61a3 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/schema/static_obstacle_avoidance.schema.json
@@ -16,15 +16,10 @@
           "description": "Path resample interval for output path. Too short interval increases computational cost for latter modules.",
           "default": "4.0"
         },
-        "enable_bound_clipping": {
-          "type": "boolean",
-          "description": "Enable clipping left and right bound of drivable area when obstacles are in the drivable area.",
-          "default": "false"
-        },
-        "disable_path_update": {
-          "type": "boolean",
-          "description": "Disable path update.",
-          "default": "false"
+        "path_generation_method": {
+          "enum": ["shift_line_base", "optimization_base", "both"],
+          "description": "Path generation method.",
+          "default": "shift_line_base"
         },
         "use_adjacent_lane": {
           "type": "boolean",
@@ -1445,7 +1440,7 @@
       "required": [
         "resample_interval_for_planning",
         "resample_interval_for_output",
-        "enable_bound_clipping",
+        "path_generation_method",
         "use_adjacent_lane",
         "use_opposite_lane",
         "use_hatched_road_markings",
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp
similarity index 97%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp
index a495213626e22..bf5e3ac1714cf 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/debug.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/debug.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/debug.hpp"
 
-#include "autoware_behavior_path_planner_common/marker_utils/utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/marker_utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
 #include <lanelet2_extension/visualization/visualization.hpp>
 #include <magic_enum.hpp>
@@ -147,6 +147,7 @@ MarkerArray createObjectInfoMarkerArray(
       string_stream << std::fixed << std::setprecision(2) << std::boolalpha;
       string_stream << "ratio:" << object.shiftable_ratio << " [-]\n"
                     << "lateral:" << object.to_centerline << " [m]\n"
+                    << "clip:" << object.is_clip_target << " [-]\n"
                     << "necessity:" << object.avoid_required << " [-]\n"
                     << "stoppable:" << object.is_stoppable << " [-]\n"
                     << "stop_factor:" << object.to_stop_factor_distance << " [m]\n"
@@ -573,55 +574,45 @@ MarkerArray createDebugMarkerArray(
     addObjects(data.other_objects, ObjectInfo::AMBIGUOUS_STOPPED_VEHICLE);
   }
 
-  // shift line pre-process
   if (parameters->enable_shift_line_marker) {
+    // shift line pre-process
     addAvoidLine(debug.step1_registered_shift_line, "step1_registered_shift_line", 0.2, 0.2, 1.0);
     addAvoidLine(debug.step1_current_shift_line, "step1_current_shift_line", 0.2, 0.4, 0.8, 0.3);
     addAvoidLine(debug.step1_merged_shift_line, "step1_merged_shift_line", 0.2, 0.6, 0.6, 0.3);
     addAvoidLine(debug.step1_filled_shift_line, "step1_filled_shift_line", 0.2, 0.8, 0.4, 0.3);
     addAvoidLine(debug.step1_return_shift_line, "step1_return_shift_line", 0.2, 1.0, 0.2, 0.3);
-  }
 
-  // merge process
-  if (parameters->enable_shift_line_marker) {
+    // merge process
     addAvoidLine(debug.step2_merged_shift_line, "step2_merged_shift_line", 0.2, 1.0, 0.0, 0.3);
-  }
 
-  // trimming process
-  if (parameters->enable_shift_line_marker) {
+    // trimming process
     addAvoidLine(debug.step3_grad_filtered_1st, "step3_grad_filtered_1st", 0.2, 0.8, 0.0, 0.3);
     addAvoidLine(debug.step3_grad_filtered_2nd, "step3_grad_filtered_2nd", 0.4, 0.6, 0.0, 0.3);
     addAvoidLine(debug.step3_grad_filtered_3rd, "step3_grad_filtered_3rd", 0.6, 0.4, 0.0, 0.3);
-  }
 
-  // registering process
-  if (parameters->enable_shift_line_marker) {
+    // registering process
     addShiftLine(shifter.getShiftLines(), "step4_old_shift_line", 1.0, 1.0, 0.0, 0.3);
     addAvoidLine(data.new_shift_line, "step4_new_shift_line", 1.0, 0.0, 0.0, 0.3);
-  }
-
-  // safety check
-  if (parameters->enable_safety_check_marker) {
-    add(showSafetyCheckInfo(debug.collision_check, "object_debug_info"));
-    add(showPredictedPath(debug.collision_check, "ego_predicted_path"));
-    add(showPolygon(debug.collision_check, "ego_and_target_polygon_relation"));
-  }
 
-  // shift length
-  if (parameters->enable_shift_line_marker) {
+    // shift length
     addShiftLength(debug.pos_shift, "merged_length_pos", 0.0, 0.7, 0.5);
     addShiftLength(debug.neg_shift, "merged_length_neg", 0.0, 0.5, 0.7);
     addShiftLength(debug.total_shift, "merged_length_total", 0.99, 0.4, 0.2);
-  }
 
-  // shift grad
-  if (parameters->enable_shift_line_marker) {
+    // shift grad
     addShiftGrad(debug.pos_shift_grad, debug.pos_shift, "merged_grad_pos", 0.0, 0.7, 0.5);
     addShiftGrad(debug.neg_shift_grad, debug.neg_shift, "merged_grad_neg", 0.0, 0.5, 0.7);
     addShiftGrad(debug.total_forward_grad, debug.total_shift, "grad_forward", 0.99, 0.4, 0.2);
     addShiftGrad(debug.total_backward_grad, debug.total_shift, "grad_backward", 0.4, 0.2, 0.9);
   }
 
+  // safety check
+  if (parameters->enable_safety_check_marker) {
+    add(showSafetyCheckInfo(debug.collision_check, "object_debug_info"));
+    add(showPredictedPath(debug.collision_check, "ego_predicted_path"));
+    add(showPolygon(debug.collision_check, "ego_and_target_polygon_relation"));
+  }
+
   // detection area
   if (parameters->enable_detection_area_marker) {
     size_t i = 0;
@@ -691,7 +682,7 @@ std::string toStrInfo(const autoware::behavior_path_planner::AvoidLineArray & ap
 }
 std::string toStrInfo(const autoware::behavior_path_planner::AvoidLine & ap)
 {
-  using tier4_autoware_utils::toHexString;
+  using autoware::universe_utils::toHexString;
 
   std::stringstream pids;
   for (const auto pid : ap.parent_ids) {
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp
index b59af0fbbf0e5..2d02f33e19870 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/manager.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/manager.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/manager.hpp"
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp"
-#include "tier4_autoware_utils/ros/parameter.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/parameter_helper.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -28,8 +28,8 @@ namespace autoware::behavior_path_planner
 {
 void StaticObstacleAvoidanceModuleManager::init(rclcpp::Node * node)
 {
+  using autoware::universe_utils::getOrDeclareParameter;
   using autoware_perception_msgs::msg::ObjectClassification;
-  using tier4_autoware_utils::getOrDeclareParameter;
 
   // init manager interface
   initInterface(node, {"left", "right"});
@@ -42,8 +42,8 @@ void StaticObstacleAvoidanceModuleManager::init(rclcpp::Node * node)
 void StaticObstacleAvoidanceModuleManager::updateModuleParams(
   const std::vector<rclcpp::Parameter> & parameters)
 {
+  using autoware::universe_utils::updateParam;
   using autoware_perception_msgs::msg::ObjectClassification;
-  using tier4_autoware_utils::updateParam;
 
   auto p = parameters_;
 
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp
similarity index 96%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp
index b69508c9fdcef..b0fd1b5c1b8ab 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/scene.cpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/scene.hpp"
-
-#include "autoware_behavior_path_planner_common/interface/scene_module_visitor.hpp"
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/debug.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/scene.hpp"
+
+#include "autoware/behavior_path_planner_common/interface/scene_module_visitor.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/safety_check.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/debug.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
@@ -278,7 +278,7 @@ void StaticObstacleAvoidanceModule::fillFundamentalData(
   // arclength from ego pose (used in many functions)
   data.arclength_from_ego = utils::calcPathArcLengthArray(
     data.reference_path, 0, data.reference_path.points.size(),
-    motion_utils::calcSignedArcLength(data.reference_path.points, getEgoPosition(), 0));
+    autoware::motion_utils::calcSignedArcLength(data.reference_path.points, getEgoPosition(), 0));
 
   data.to_return_point = utils::static_obstacle_avoidance::calcDistanceToReturnDeadLine(
     data.current_lanelets, data.reference_path_rough, planner_data_, parameters_);
@@ -294,6 +294,7 @@ void StaticObstacleAvoidanceModule::fillFundamentalData(
     registered_objects_, data.target_objects, parameters_);
   utils::static_obstacle_avoidance::compensateDetectionLost(
     registered_objects_, data.target_objects, data.other_objects);
+  utils::static_obstacle_avoidance::updateClipObject(clip_objects_, data);
 
   // sort object order by longitudinal distance
   std::sort(data.target_objects.begin(), data.target_objects.end(), [](auto a, auto b) {
@@ -378,7 +379,7 @@ ObjectData StaticObstacleAvoidanceModule::createObjectData(
   const auto & path_points = data.reference_path.points;
   const auto & object_pose = object.kinematics.initial_pose_with_covariance.pose;
   const auto object_closest_index =
-    motion_utils::findNearestIndex(path_points, object_pose.position);
+    autoware::motion_utils::findNearestIndex(path_points, object_pose.position);
   const auto object_closest_pose = path_points.at(object_closest_index).point.pose;
   const auto object_type = utils::getHighestProbLabel(object.classification);
   const auto object_parameter = parameters_->object_parameters.at(object_type);
@@ -424,7 +425,7 @@ bool StaticObstacleAvoidanceModule::canYieldManeuver(const AvoidancePlanningData
   const auto registered_lines = path_shifter_.getShiftLines();
   if (!registered_lines.empty()) {
     const size_t idx = planner_data_->findEgoIndex(path_shifter_.getReferencePath().points);
-    const auto prepare_distance = motion_utils::calcSignedArcLength(
+    const auto prepare_distance = autoware::motion_utils::calcSignedArcLength(
       path_shifter_.getReferencePath().points, idx, registered_lines.front().start_idx);
     if (!helper_->isEnoughPrepareDistance(prepare_distance)) {
       RCLCPP_DEBUG(
@@ -642,7 +643,7 @@ void StaticObstacleAvoidanceModule::fillDebugData(
   const auto prepare_distance = helper_->getNominalPrepareDistance();
   const auto total_avoid_distance = prepare_distance + avoidance_distance + constant_distance;
 
-  dead_pose_ = motion_utils::calcLongitudinalOffsetPose(
+  dead_pose_ = autoware::motion_utils::calcLongitudinalOffsetPose(
     data.reference_path.points, getEgoPosition(), o_front.longitudinal - total_avoid_distance);
 
   if (!dead_pose_) {
@@ -653,7 +654,7 @@ void StaticObstacleAvoidanceModule::fillDebugData(
 void StaticObstacleAvoidanceModule::updateEgoBehavior(
   const AvoidancePlanningData & data, ShiftedPath & path)
 {
-  if (parameters_->disable_path_update) {
+  if (parameters_->path_generation_method == "optimization_base") {
     return;
   }
 
@@ -755,7 +756,7 @@ bool StaticObstacleAvoidanceModule::isSafePath(
     auto current_debug_data = utils::path_safety_checker::createObjectDebug(object);
 
     const auto obj_polygon =
-      tier4_autoware_utils::toPolygon2d(object.initial_pose.pose, object.shape);
+      autoware::universe_utils::toPolygon2d(object.initial_pose.pose, object.shape);
 
     const auto is_object_front =
       utils::path_safety_checker::isTargetObjectFront(getEgoPose(), obj_polygon, p.vehicle_info);
@@ -812,7 +813,7 @@ PathWithLaneId StaticObstacleAvoidanceModule::extendBackwardLength(
       return a.start_idx < b.start_idx;
     });
     return std::max(
-      max_dist, motion_utils::calcSignedArcLength(
+      max_dist, autoware::motion_utils::calcSignedArcLength(
                   previous_path.points, lines.front().start.position, getEgoPosition()));
   }();
 
@@ -821,7 +822,7 @@ PathWithLaneId StaticObstacleAvoidanceModule::extendBackwardLength(
     planner_data_->parameters.backward_path_length, longest_dist_to_shift_point + extra_margin);
 
   const size_t orig_ego_idx = planner_data_->findEgoIndex(original_path.points);
-  const auto prev_ego_idx = motion_utils::findNearestSegmentIndex(
+  const auto prev_ego_idx = autoware::motion_utils::findNearestSegmentIndex(
     previous_path.points, getPose(original_path.points.at(orig_ego_idx)),
     std::numeric_limits<double>::max(), planner_data_->parameters.ego_nearest_yaw_threshold);
   if (!prev_ego_idx) {
@@ -832,7 +833,7 @@ PathWithLaneId StaticObstacleAvoidanceModule::extendBackwardLength(
   for (size_t i = 0; i < prev_ego_idx; ++i) {
     if (
       backward_length >
-      motion_utils::calcSignedArcLength(previous_path.points, clip_idx, *prev_ego_idx)) {
+      autoware::motion_utils::calcSignedArcLength(previous_path.points, clip_idx, *prev_ego_idx)) {
       break;
     }
     clip_idx = i;
@@ -925,7 +926,7 @@ BehaviorModuleOutput StaticObstacleAvoidanceModule::plan()
     constexpr double threshold = 1.0;
     const auto current_seg_idx = planner_data_->findEgoSegmentIndex(path.points);
     const auto lateral_deviation =
-      motion_utils::calcLateralOffset(path.points, getEgoPosition(), current_seg_idx);
+      autoware::motion_utils::calcLateralOffset(path.points, getEgoPosition(), current_seg_idx);
     return std::abs(lateral_deviation) > threshold;
   };
 
@@ -998,19 +999,14 @@ BehaviorModuleOutput StaticObstacleAvoidanceModule::plan()
     // expand freespace areas
     current_drivable_area_info.enable_expanding_freespace_areas = parameters_->use_freespace_areas;
     // generate obstacle polygons
-    if (parameters_->enable_bound_clipping) {
-      ObjectDataArray clip_objects;
-      // If avoidance is executed by both behavior and motion, only non-avoidable object will be
-      // extracted from the drivable area.
-      std::for_each(
-        data.target_objects.begin(), data.target_objects.end(), [&](const auto & object) {
-          if (!object.is_avoidable) clip_objects.push_back(object);
-        });
+    current_drivable_area_info.obstacles.clear();
+
+    if (
+      parameters_->path_generation_method == "optimization_base" ||
+      parameters_->path_generation_method == "both") {
       current_drivable_area_info.obstacles =
         utils::static_obstacle_avoidance::generateObstaclePolygonsForDrivableArea(
-          clip_objects, parameters_, planner_data_->parameters.vehicle_width / 2.0);
-    } else {
-      current_drivable_area_info.obstacles.clear();
+          clip_objects_, parameters_, planner_data_->parameters.vehicle_width / 2.0);
     }
 
     output.drivable_area_info = utils::combineDrivableAreaInfo(
@@ -1077,7 +1073,7 @@ BehaviorModuleOutput StaticObstacleAvoidanceModule::planWaitingApproval()
 
 void StaticObstacleAvoidanceModule::updatePathShifter(const AvoidLineArray & shift_lines)
 {
-  if (parameters_->disable_path_update) {
+  if (parameters_->path_generation_method == "optimization_base") {
     return;
   }
 
@@ -1471,7 +1467,7 @@ void StaticObstacleAvoidanceModule::insertReturnDeadLine(
   // Consider the difference in path length between the shifted path and original path (the path
   // that is shifted inward has a shorter distance to the end of the path than the other one.)
   const auto & to_reference_path_end = data.arclength_from_ego.back();
-  const auto to_shifted_path_end = motion_utils::calcSignedArcLength(
+  const auto to_shifted_path_end = autoware::motion_utils::calcSignedArcLength(
     shifted_path.path.points, getEgoPosition(), shifted_path.path.points.size() - 1);
   const auto buffer = std::max(0.0, to_shifted_path_end - to_reference_path_end);
 
@@ -1509,7 +1505,7 @@ void StaticObstacleAvoidanceModule::insertReturnDeadLine(
   const auto start_idx = planner_data_->findEgoIndex(shifted_path.path.points);
   for (size_t i = start_idx; i < shifted_path.path.points.size(); ++i) {
     const auto distance_from_ego =
-      motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
+      autoware::motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
 
     // slow down speed is inserted only in front of the object.
     const auto shift_longitudinal_distance = to_stop_line - distance_from_ego;
@@ -1602,8 +1598,8 @@ void StaticObstacleAvoidanceModule::insertStopPoint(
     return shifted_path.path.points.size() - 1;
   }();
 
-  const auto stop_distance =
-    motion_utils::calcSignedArcLength(shifted_path.path.points, getEgoPosition(), stop_idx);
+  const auto stop_distance = autoware::motion_utils::calcSignedArcLength(
+    shifted_path.path.points, getEgoPosition(), stop_idx);
 
   // If we don't need to consider deceleration constraints, insert a deceleration point
   // and return immediately
@@ -1715,7 +1711,7 @@ void StaticObstacleAvoidanceModule::insertPrepareVelocity(ShiftedPath & shifted_
   const auto start_idx = planner_data_->findEgoIndex(shifted_path.path.points);
   for (size_t i = start_idx; i < shifted_path.path.points.size(); ++i) {
     const auto distance_from_ego =
-      motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
+      autoware::motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
 
     // slow down speed is inserted only in front of the object.
     const auto shift_longitudinal_distance = distance_to_object - distance_from_ego;
@@ -1732,7 +1728,7 @@ void StaticObstacleAvoidanceModule::insertPrepareVelocity(ShiftedPath & shifted_
     shifted_path.path.points.at(i).point.longitudinal_velocity_mps = std::min(v_original, v_insert);
   }
 
-  slow_pose_ = motion_utils::calcLongitudinalOffsetPose(
+  slow_pose_ = autoware::motion_utils::calcLongitudinalOffsetPose(
     shifted_path.path.points, start_idx, distance_to_object);
 }
 
@@ -1759,7 +1755,7 @@ void StaticObstacleAvoidanceModule::insertAvoidanceVelocity(ShiftedPath & shifte
   const auto start_idx = planner_data_->findEgoIndex(shifted_path.path.points);
   for (size_t i = start_idx; i < shifted_path.path.points.size(); ++i) {
     const auto distance_from_ego =
-      motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
+      autoware::motion_utils::calcSignedArcLength(shifted_path.path.points, start_idx, i);
 
     // slow down speed is inserted only in front of the object.
     const auto accel_distance = distance_to_accel_end_point - distance_from_ego;
@@ -1779,7 +1775,7 @@ void StaticObstacleAvoidanceModule::insertAvoidanceVelocity(ShiftedPath & shifte
     shifted_path.path.points.at(i).point.longitudinal_velocity_mps = std::min(v_original, v_target);
   }
 
-  slow_pose_ = motion_utils::calcLongitudinalOffsetPose(
+  slow_pose_ = autoware::motion_utils::calcLongitudinalOffsetPose(
     shifted_path.path.points, start_idx, distance_to_accel_end_point);
 }
 
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp
similarity index 98%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp
index cdb89daad8adc..a171ae9161041 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/shift_line_generator.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/shift_line_generator.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
 
 namespace autoware::behavior_path_planner::utils::static_obstacle_avoidance
 {
@@ -355,8 +355,8 @@ AvoidOutlines ShiftLineGenerator::generateAvoidOutline(
         return false;
       }
       const auto goal_pose = data_->route_handler->getGoalPose();
-      const double goal_longitudinal_distance =
-        motion_utils::calcSignedArcLength(data.reference_path.points, 0, goal_pose.position);
+      const double goal_longitudinal_distance = autoware::motion_utils::calcSignedArcLength(
+        data.reference_path.points, 0, goal_pose.position);
       const bool is_return_shift_to_goal =
         std::abs(al_return.end_longitudinal - goal_longitudinal_distance) <
         parameters_->object_check_return_pose_distance;
@@ -365,7 +365,7 @@ AvoidOutlines ShiftLineGenerator::generateAvoidOutline(
       }
       const auto & object_pos = o.object.kinematics.initial_pose_with_covariance.pose.position;
       const bool has_object_near_goal =
-        tier4_autoware_utils::calcDistance2d(goal_pose.position, object_pos) <
+        autoware::universe_utils::calcDistance2d(goal_pose.position, object_pos) <
         parameters_->object_check_goal_distance;
       return has_object_near_goal;
     }();
@@ -1026,7 +1026,7 @@ AvoidLineArray ShiftLineGenerator::addReturnShiftLine(
   if (utils::isAllowedGoalModification(data_->route_handler)) {
     const auto has_object_near_goal =
       std::any_of(data.target_objects.begin(), data.target_objects.end(), [&](const auto & o) {
-        return tier4_autoware_utils::calcDistance2d(
+        return autoware::universe_utils::calcDistance2d(
                  data_->route_handler->getGoalPose().position,
                  o.object.kinematics.initial_pose_with_covariance.pose.position) <
                parameters_->object_check_goal_distance;
@@ -1097,7 +1097,7 @@ AvoidLineArray ShiftLineGenerator::addReturnShiftLine(
   if (utils::isAllowedGoalModification(data_->route_handler)) {
     const bool has_last_shift_near_goal =
       std::any_of(data.target_objects.begin(), data.target_objects.end(), [&](const auto & o) {
-        return tier4_autoware_utils::calcDistance2d(
+        return autoware::universe_utils::calcDistance2d(
                  last_sl.end.position,
                  o.object.kinematics.initial_pose_with_covariance.pose.position) <
                parameters_->object_check_goal_distance;
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp
similarity index 94%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp
index d04a0e0281cd2..70de9e9499917 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner_common/utils/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/utils.hpp"
 
-#include "autoware_behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
-#include "autoware_behavior_path_planner_common/utils/path_utils.hpp"
-#include "autoware_behavior_path_planner_common/utils/traffic_light_utils.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/drivable_area_expansion/static_drivable_area.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_safety_checker/objects_filtering.hpp"
+#include "autoware/behavior_path_planner_common/utils/path_utils.hpp"
+#include "autoware/behavior_path_planner_common/utils/traffic_light_utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 
@@ -55,7 +55,8 @@ geometry_msgs::msg::Point32 createPoint32(const double x, const double y, const
   return p;
 }
 
-geometry_msgs::msg::Polygon toMsg(const tier4_autoware_utils::Polygon2d & polygon, const double z)
+geometry_msgs::msg::Polygon toMsg(
+  const autoware::universe_utils::Polygon2d & polygon, const double z)
 {
   geometry_msgs::msg::Polygon ret;
   for (const auto & p : polygon.outer()) {
@@ -67,14 +68,14 @@ geometry_msgs::msg::Polygon toMsg(const tier4_autoware_utils::Polygon2d & polygo
 template <class T>
 size_t findFirstNearestIndex(const T & points, const geometry_msgs::msg::Point & point)
 {
-  motion_utils::validateNonEmpty(points);
+  autoware::motion_utils::validateNonEmpty(points);
 
   double min_dist = std::numeric_limits<double>::max();
   size_t min_idx = 0;
   bool decreasing = false;
 
   for (size_t i = 0; i < points.size(); ++i) {
-    const auto dist = tier4_autoware_utils::calcSquaredDistance2d(points.at(i), point);
+    const auto dist = autoware::universe_utils::calcSquaredDistance2d(points.at(i), point);
     if (dist < min_dist) {
       decreasing = true;
       min_dist = dist;
@@ -103,7 +104,7 @@ size_t findFirstNearestSegmentIndex(const T & points, const geometry_msgs::msg::
   }
 
   const double signed_length =
-    motion_utils::calcLongitudinalOffsetToSegment(points, nearest_idx, point);
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, nearest_idx, point);
 
   if (signed_length <= 0) {
     return nearest_idx - 1;
@@ -118,7 +119,7 @@ double calcSignedArcLengthToFirstNearestPoint(
   const geometry_msgs::msg::Point & dst_point)
 {
   try {
-    motion_utils::validateNonEmpty(points);
+    autoware::motion_utils::validateNonEmpty(points);
   } catch (const std::exception & e) {
     std::cerr << e.what() << std::endl;
     return 0.0;
@@ -128,11 +129,11 @@ double calcSignedArcLengthToFirstNearestPoint(
   const size_t dst_seg_idx = findFirstNearestSegmentIndex(points, dst_point);
 
   const double signed_length_on_traj =
-    motion_utils::calcSignedArcLength(points, src_seg_idx, dst_seg_idx);
+    autoware::motion_utils::calcSignedArcLength(points, src_seg_idx, dst_seg_idx);
   const double signed_length_src_offset =
-    motion_utils::calcLongitudinalOffsetToSegment(points, src_seg_idx, src_point);
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, src_seg_idx, src_point);
   const double signed_length_dst_offset =
-    motion_utils::calcLongitudinalOffsetToSegment(points, dst_seg_idx, dst_point);
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, dst_seg_idx, dst_point);
 
   return signed_length_on_traj - signed_length_src_offset + signed_length_dst_offset;
 }
@@ -328,7 +329,7 @@ bool isWithinIntersection(
     return false;
   }
 
-  const auto object_polygon = tier4_autoware_utils::toPolygon2d(object.object);
+  const auto object_polygon = autoware::universe_utils::toPolygon2d(object.object);
 
   const auto polygon =
     route_handler->getLaneletMapPtr()->polygonLayer.get(std::atoi(area_id.c_str()));
@@ -645,7 +646,7 @@ bool isNeverAvoidanceTarget(
         return true;
       }
 
-      const auto object_polygon = tier4_autoware_utils::toPolygon2d(object.object);
+      const auto object_polygon = autoware::universe_utils::toPolygon2d(object.object);
       const auto is_disjoint_right_lane =
         boost::geometry::disjoint(object_polygon, right_lane.value().polygon2d().basicPolygon());
       if (is_disjoint_right_lane) {
@@ -668,7 +669,7 @@ bool isNeverAvoidanceTarget(
         return true;
       }
 
-      const auto object_polygon = tier4_autoware_utils::toPolygon2d(object.object);
+      const auto object_polygon = autoware::universe_utils::toPolygon2d(object.object);
       const auto is_disjoint_left_lane =
         boost::geometry::disjoint(object_polygon, left_lane.value().polygon2d().basicPolygon());
       if (is_disjoint_left_lane) {
@@ -758,7 +759,7 @@ bool isSatisfiedWithCommonCondition(
   const auto ego_idx = planner_data->findEgoIndex(data.reference_path_rough.points);
   const auto to_goal_distance =
     rh->isInGoalRouteSection(data.current_lanelets.back())
-      ? motion_utils::calcSignedArcLength(
+      ? autoware::motion_utils::calcSignedArcLength(
           data.reference_path_rough.points, ego_idx, data.reference_path_rough.points.size() - 1)
       : std::numeric_limits<double>::max();
 
@@ -940,12 +941,12 @@ double getRoadShoulderDistance(
   ObjectData & object, const AvoidancePlanningData & data,
   const std::shared_ptr<const PlannerData> & planner_data)
 {
+  using autoware::universe_utils::Point2d;
   using lanelet::utils::to2D;
-  using tier4_autoware_utils::Point2d;
 
   const auto & object_pose = object.object.kinematics.initial_pose_with_covariance.pose;
   const auto object_closest_index =
-    motion_utils::findNearestIndex(data.reference_path.points, object_pose.position);
+    autoware::motion_utils::findNearestIndex(data.reference_path.points, object_pose.position);
   const auto object_closest_pose = data.reference_path.points.at(object_closest_index).point.pose;
 
   const auto rh = planner_data->route_handler;
@@ -968,7 +969,7 @@ double getRoadShoulderDistance(
         const auto p2 =
           calcOffsetPose(p_tmp, 0.0, (isOnRight(object) ? 100.0 : -100.0), 0.0).position;
         const auto opt_intersect =
-          tier4_autoware_utils::intersect(p1.second, p2, bound.at(i - 1), bound.at(i));
+          autoware::universe_utils::intersect(p1.second, p2, bound.at(i - 1), bound.at(i));
 
         if (opt_intersect.has_value()) {
           intersects.emplace_back(
@@ -986,7 +987,7 @@ double getRoadShoulderDistance(
           calcOffsetPose(p_tmp, 0.0, (isOnRight(object) ? -0.5 : 0.5) * envelope_polygon_width, 0.0)
             .position;
         const auto opt_intersect =
-          tier4_autoware_utils::intersect(p1.second, p2, bound.at(i - 1), bound.at(i));
+          autoware::universe_utils::intersect(p1.second, p2, bound.at(i - 1), bound.at(i));
 
         if (opt_intersect.has_value()) {
           intersects.emplace_back(
@@ -1035,8 +1036,8 @@ bool isWithinLanes(
 {
   const auto & rh = planner_data->route_handler;
   const auto & ego_pose = planner_data->self_odometry->pose.pose;
-  const auto transform = tier4_autoware_utils::pose2transform(ego_pose);
-  const auto footprint = tier4_autoware_utils::transformVector(
+  const auto transform = autoware::universe_utils::pose2transform(ego_pose);
+  const auto footprint = autoware::universe_utils::transformVector(
     planner_data->parameters.vehicle_info.createFootprint(), transform);
 
   lanelet::ConstLanelet closest_lanelet{};
@@ -1192,9 +1193,10 @@ void fillLongitudinalAndLengthByClosestEnvelopeFootprint(
   double min_distance = std::numeric_limits<double>::max();
   double max_distance = std::numeric_limits<double>::lowest();
   for (const auto & p : obj.envelope_poly.outer()) {
-    const auto point = tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0);
+    const auto point = autoware::universe_utils::createPoint(p.x(), p.y(), 0.0);
     // TODO(someone): search around first position where the ego should avoid the object.
-    const double arc_length = motion_utils::calcSignedArcLength(path.points, ego_pos, point);
+    const double arc_length =
+      autoware::motion_utils::calcSignedArcLength(path.points, ego_pos, point);
     min_distance = std::min(min_distance, arc_length);
     max_distance = std::max(max_distance, arc_length);
   }
@@ -1209,9 +1211,9 @@ std::vector<std::pair<double, Point>> calcEnvelopeOverhangDistance(
   std::vector<std::pair<double, Point>> overhang_points{};
 
   for (const auto & p : object_data.envelope_poly.outer()) {
-    const auto point = tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0);
+    const auto point = autoware::universe_utils::createPoint(p.x(), p.y(), 0.0);
     // TODO(someone): search around first position where the ego should avoid the object.
-    const auto idx = motion_utils::findNearestIndex(path.points, point);
+    const auto idx = autoware::motion_utils::findNearestIndex(path.points, point);
     const auto lateral = calcLateralDeviation(getPose(path.points.at(idx)), point);
     overhang_points.emplace_back(lateral, point);
   }
@@ -1245,9 +1247,9 @@ Polygon2d createEnvelopePolygon(
   const Polygon2d & object_polygon, const Pose & closest_pose, const double envelope_buffer)
 {
   namespace bg = boost::geometry;
-  using tier4_autoware_utils::expandPolygon;
-  using tier4_autoware_utils::Point2d;
-  using tier4_autoware_utils::Polygon2d;
+  using autoware::universe_utils::expandPolygon;
+  using autoware::universe_utils::Point2d;
+  using autoware::universe_utils::Polygon2d;
   using Box = bg::model::box<Point2d>;
 
   const auto toPolygon2d = [](const geometry_msgs::msg::Polygon & polygon) {
@@ -1291,7 +1293,7 @@ Polygon2d createEnvelopePolygon(
 Polygon2d createEnvelopePolygon(
   const ObjectData & object_data, const Pose & closest_pose, const double envelope_buffer)
 {
-  const auto object_polygon = tier4_autoware_utils::toPolygon2d(object_data.object);
+  const auto object_polygon = autoware::universe_utils::toPolygon2d(object_data.object);
   return createEnvelopePolygon(object_polygon, closest_pose, envelope_buffer);
 }
 
@@ -1323,7 +1325,7 @@ std::vector<DrivableAreaInfo::Obstacle> generateObstaclePolygonsForDrivableArea(
     const double diff_poly_buffer =
       object.avoid_margin.value() - object_parameter.envelope_buffer_margin - vehicle_width / 2.0;
     const auto obj_poly =
-      tier4_autoware_utils::expandPolygon(object.envelope_poly, diff_poly_buffer);
+      autoware::universe_utils::expandPolygon(object.envelope_poly, diff_poly_buffer);
     obstacles_for_drivable_area.push_back(
       {object.object.kinematics.initial_pose_with_covariance.pose, obj_poly, !isOnRight(object)});
   }
@@ -1382,16 +1384,18 @@ void insertDecelPoint(
   const Point & p_src, const double offset, const double velocity, PathWithLaneId & path,
   std::optional<Pose> & p_out)
 {
-  const auto decel_point = motion_utils::calcLongitudinalOffsetPoint(path.points, p_src, offset);
+  const auto decel_point =
+    autoware::motion_utils::calcLongitudinalOffsetPoint(path.points, p_src, offset);
 
   if (!decel_point) {
     // TODO(Satoshi OTA)  Think later the process in the case of no decel point found.
     return;
   }
 
-  const auto seg_idx = motion_utils::findNearestSegmentIndex(path.points, decel_point.value());
+  const auto seg_idx =
+    autoware::motion_utils::findNearestSegmentIndex(path.points, decel_point.value());
   const auto insert_idx =
-    motion_utils::insertTargetPoint(seg_idx, decel_point.value(), path.points);
+    autoware::motion_utils::insertTargetPoint(seg_idx, decel_point.value(), path.points);
 
   if (!insert_idx) {
     // TODO(Satoshi OTA)  Think later the process in the case of no decel point found.
@@ -1453,7 +1457,7 @@ void fillObjectEnvelopePolygon(
 
   const auto multi_step_envelope_poly = createEnvelopePolygon(unions.front(), closest_pose, 0.0);
 
-  const auto object_polygon = tier4_autoware_utils::toPolygon2d(object_data.object);
+  const auto object_polygon = autoware::universe_utils::toPolygon2d(object_data.object);
   const auto object_polygon_area = boost::geometry::area(object_polygon);
   const auto envelope_polygon_area = boost::geometry::area(multi_step_envelope_poly);
 
@@ -1686,6 +1690,59 @@ void compensateDetectionLost(
   }
 }
 
+void updateClipObject(ObjectDataArray & clip_objects, AvoidancePlanningData & data)
+{
+  std::for_each(data.target_objects.begin(), data.target_objects.end(), [](auto & o) {
+    if (o.is_avoidable) {
+      o.is_clip_target = true;
+    }
+  });
+
+  const auto itr =
+    std::remove_if(clip_objects.begin(), clip_objects.end(), [&data](const auto & clip_object) {
+      const auto id = clip_object.object.object_id;
+
+      // update target objects
+      {
+        const auto same_id_obj = std::find_if(
+          data.target_objects.begin(), data.target_objects.end(),
+          [&id](const auto & o) { return o.object.object_id == id; });
+        if (same_id_obj != data.target_objects.end()) {
+          same_id_obj->is_clip_target = true;
+          return false;
+        }
+      }
+
+      // update other objects
+      {
+        const auto same_id_obj = std::find_if(
+          data.other_objects.begin(), data.other_objects.end(),
+          [&id](const auto & o) { return o.object.object_id == id; });
+        if (same_id_obj != data.other_objects.end()) {
+          same_id_obj->is_clip_target = true;
+          return false;
+        }
+      }
+
+      return true;
+    });
+
+  clip_objects.erase(itr, clip_objects.end());
+
+  for (const auto & object : data.target_objects) {
+    const auto id = object.object.object_id;
+    const auto same_id_obj = std::find_if(
+      clip_objects.begin(), clip_objects.end(),
+      [&id](const auto & o) { return o.object.object_id == id; });
+
+    if (same_id_obj != clip_objects.end()) {
+      continue;
+    }
+
+    clip_objects.push_back(object);
+  }
+}
+
 void updateRoadShoulderDistance(
   AvoidancePlanningData & data, const std::shared_ptr<const PlannerData> & planner_data,
   const std::shared_ptr<AvoidanceParameters> & parameters)
@@ -1813,9 +1870,9 @@ void fillAdditionalInfoFromPoint(const AvoidancePlanningData & data, AvoidLineAr
 
   // calc longitudinal
   for (auto & sl : lines) {
-    sl.start_idx = motion_utils::findNearestIndex(path.points, sl.start.position);
+    sl.start_idx = autoware::motion_utils::findNearestIndex(path.points, sl.start.position);
     sl.start_longitudinal = arc.at(sl.start_idx);
-    sl.end_idx = motion_utils::findNearestIndex(path.points, sl.end.position);
+    sl.end_idx = autoware::motion_utils::findNearestIndex(path.points, sl.end.position);
     sl.end_longitudinal = arc.at(sl.end_idx);
   }
 }
@@ -1864,7 +1921,7 @@ AvoidLineArray combineRawShiftLinesWithUniqueCheck(
 {
   // TODO(Horibe) parametrize
   const auto isSimilar = [](const AvoidLine & a, const AvoidLine & b) {
-    using tier4_autoware_utils::calcDistance2d;
+    using autoware::universe_utils::calcDistance2d;
     if (calcDistance2d(a.start, b.start) > 1.0) {
       return false;
     }
@@ -2113,7 +2170,7 @@ std::pair<PredictedObjects, PredictedObjects> separateObjectsByPath(
   double next_longitudinal_distance = parameters->resample_interval_for_output;
   for (size_t i = 0; i < points_size; ++i) {
     const auto distance_from_ego =
-      motion_utils::calcSignedArcLength(reference_path.points, ego_idx, i);
+      autoware::motion_utils::calcSignedArcLength(reference_path.points, ego_idx, i);
     if (distance_from_ego > object_check_forward_distance) {
       break;
     }
@@ -2151,7 +2208,7 @@ std::pair<PredictedObjects, PredictedObjects> separateObjectsByPath(
 
   const auto objects = planner_data->dynamic_object->objects;
   std::for_each(objects.begin(), objects.end(), [&](const auto & object) {
-    const auto obj_polygon = tier4_autoware_utils::toPolygon2d(object);
+    const auto obj_polygon = autoware::universe_utils::toPolygon2d(object);
     if (!within_detection_area(obj_polygon)) {
       other_objects.objects.push_back(object);
     } else {
@@ -2361,7 +2418,7 @@ double calcDistanceToReturnDeadLine(
     if (planner_data->route_handler->isInGoalRouteSection(lanelets.back())) {
       const auto & ego_pos = planner_data->self_odometry->pose.pose.position;
       const auto to_goal_distance =
-        motion_utils::calcSignedArcLength(path.points, ego_pos, path.points.size() - 1);
+        autoware::motion_utils::calcSignedArcLength(path.points, ego_pos, path.points.size() - 1);
       distance_to_return_dead_line = std::min(
         distance_to_return_dead_line, to_goal_distance - parameters->dead_line_buffer_for_goal);
     }
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
index 7aa5b67b23d34..8cf5696a89372 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_behavior_path_planner_node_interface.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_planner/behavior_path_planner_node.hpp"
+#include "autoware/behavior_path_planner/behavior_path_planner_node.hpp"
 
 #include <ament_index_cpp/get_package_share_directory.hpp>
 #include <autoware_planning_test_manager/autoware_planning_test_manager.hpp>
diff --git a/planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp
similarity index 94%
rename from planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp
rename to planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp
index 110a5d39a8100..bafe50b12edc3 100644
--- a/planning/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp
+++ b/planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/test/test_utils.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
-#include "autoware_behavior_path_static_obstacle_avoidance_module/utils.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/data_structs.hpp"
+#include "autoware/behavior_path_static_obstacle_avoidance_module/utils.hpp"
 
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/plugins.xml b/planning/behavior_velocity_dynamic_obstacle_stop_module/plugins.xml
deleted file mode 100644
index ba2d2ba61ad50..0000000000000
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/plugins.xml
+++ /dev/null
@@ -1,3 +0,0 @@
-<library path="behavior_velocity_dynamic_obstacle_stop_module">
-  <class type="autoware::behavior_velocity_planner::DynamicObstacleStopModulePlugin" base_class_type="autoware::behavior_velocity_planner::PluginInterface"/>
-</library>
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.cpp b/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.cpp
deleted file mode 100644
index f594432c9e452..0000000000000
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.cpp
+++ /dev/null
@@ -1,76 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "manager.hpp"
-
-#include "scene_dynamic_obstacle_stop.hpp"
-
-#include <tier4_autoware_utils/ros/parameter.hpp>
-
-#include <algorithm>
-
-namespace autoware::behavior_velocity_planner
-{
-using tier4_autoware_utils::getOrDeclareParameter;
-
-DynamicObstacleStopModuleManager::DynamicObstacleStopModuleManager(rclcpp::Node & node)
-: SceneModuleManagerInterface(node, getModuleName()), module_id_(0UL)
-{
-  const std::string ns(getModuleName());
-  auto & pp = planner_param_;
-
-  pp.extra_object_width = getOrDeclareParameter<double>(node, ns + ".extra_object_width");
-  pp.minimum_object_velocity = getOrDeclareParameter<double>(node, ns + ".minimum_object_velocity");
-  pp.stop_distance_buffer = getOrDeclareParameter<double>(node, ns + ".stop_distance_buffer");
-  pp.time_horizon = getOrDeclareParameter<double>(node, ns + ".time_horizon");
-  pp.hysteresis = getOrDeclareParameter<double>(node, ns + ".hysteresis");
-  pp.add_duration_buffer = getOrDeclareParameter<double>(node, ns + ".add_stop_duration_buffer");
-  pp.remove_duration_buffer =
-    getOrDeclareParameter<double>(node, ns + ".remove_stop_duration_buffer");
-  pp.minimum_object_distance_from_ego_path =
-    getOrDeclareParameter<double>(node, ns + ".minimum_object_distance_from_ego_path");
-  pp.ignore_unavoidable_collisions =
-    getOrDeclareParameter<bool>(node, ns + ".ignore_unavoidable_collisions");
-
-  const auto vehicle_info = autoware::vehicle_info_utils::VehicleInfoUtils(node).getVehicleInfo();
-  pp.ego_lateral_offset =
-    std::max(std::abs(vehicle_info.min_lateral_offset_m), vehicle_info.max_lateral_offset_m);
-  pp.ego_longitudinal_offset = vehicle_info.max_longitudinal_offset_m;
-}
-
-void DynamicObstacleStopModuleManager::launchNewModules(
-  const tier4_planning_msgs::msg::PathWithLaneId & path)
-{
-  if (path.points.empty()) return;
-  // general
-  if (!isModuleRegistered(module_id_)) {
-    registerModule(std::make_shared<dynamic_obstacle_stop::DynamicObstacleStopModule>(
-      module_id_, planner_param_, logger_.get_child("dynamic_obstacle_stop_module"), clock_));
-  }
-}
-
-std::function<bool(const std::shared_ptr<SceneModuleInterface> &)>
-DynamicObstacleStopModuleManager::getModuleExpiredFunction(
-  const tier4_planning_msgs::msg::PathWithLaneId & path)
-{
-  return [path]([[maybe_unused]] const std::shared_ptr<SceneModuleInterface> & scene_module) {
-    return false;
-  };
-}
-}  // namespace autoware::behavior_velocity_planner
-
-#include <pluginlib/class_list_macros.hpp>
-PLUGINLIB_EXPORT_CLASS(
-  autoware::behavior_velocity_planner::DynamicObstacleStopModulePlugin,
-  autoware::behavior_velocity_planner::PluginInterface)
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.hpp b/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.hpp
deleted file mode 100644
index d5c403e26792c..0000000000000
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/manager.hpp
+++ /dev/null
@@ -1,58 +0,0 @@
-// Copyright 2023 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#ifndef MANAGER_HPP_
-#define MANAGER_HPP_
-
-#include "scene_dynamic_obstacle_stop.hpp"
-
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <rclcpp/rclcpp.hpp>
-
-#include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
-
-#include <memory>
-#include <string>
-#include <vector>
-
-namespace autoware::behavior_velocity_planner
-{
-class DynamicObstacleStopModuleManager : public SceneModuleManagerInterface
-{
-public:
-  explicit DynamicObstacleStopModuleManager(rclcpp::Node & node);
-
-  const char * getModuleName() override { return "dynamic_obstacle_stop"; }
-
-private:
-  using PlannerParam = dynamic_obstacle_stop::PlannerParam;
-
-  PlannerParam planner_param_;
-  int64_t module_id_;
-
-  void launchNewModules(const tier4_planning_msgs::msg::PathWithLaneId & path) override;
-
-  std::function<bool(const std::shared_ptr<SceneModuleInterface> &)> getModuleExpiredFunction(
-    const tier4_planning_msgs::msg::PathWithLaneId & path) override;
-};
-
-class DynamicObstacleStopModulePlugin : public PluginWrapper<DynamicObstacleStopModuleManager>
-{
-};
-
-}  // namespace autoware::behavior_velocity_planner
-
-#endif  // MANAGER_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.cpp b/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.cpp
deleted file mode 100644
index 9c5eced187aa8..0000000000000
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.cpp
+++ /dev/null
@@ -1,166 +0,0 @@
-// Copyright 2023-2024 TIER IV, Inc. All rights reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "scene_dynamic_obstacle_stop.hpp"
-
-#include "collision.hpp"
-#include "debug.hpp"
-#include "footprint.hpp"
-#include "object_filtering.hpp"
-#include "object_stop_decision.hpp"
-#include "types.hpp"
-
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
-
-#include <memory>
-#include <string>
-#include <utility>
-#include <vector>
-
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
-{
-
-using visualization_msgs::msg::Marker;
-using visualization_msgs::msg::MarkerArray;
-
-DynamicObstacleStopModule::DynamicObstacleStopModule(
-  const int64_t module_id, PlannerParam planner_param, const rclcpp::Logger & logger,
-  const rclcpp::Clock::SharedPtr clock)
-: SceneModuleInterface(module_id, logger, clock), params_(std::move(planner_param))
-{
-  velocity_factor_.init(PlanningBehavior::ROUTE_OBSTACLE);
-}
-
-bool DynamicObstacleStopModule::modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason)
-{
-  debug_data_.reset_data();
-  *stop_reason = planning_utils::initializeStopReason(StopReason::OBSTACLE_STOP);
-  if (!path || path->points.size() < 2) return true;
-
-  tier4_autoware_utils::StopWatch<std::chrono::microseconds> stopwatch;
-  stopwatch.tic();
-  stopwatch.tic("preprocessing");
-  EgoData ego_data;
-  ego_data.pose = planner_data_->current_odometry->pose;
-  ego_data.path.points = path->points;
-  motion_utils::removeOverlapPoints(ego_data.path.points);
-  ego_data.first_path_idx =
-    motion_utils::findNearestSegmentIndex(ego_data.path.points, ego_data.pose.position);
-  ego_data.longitudinal_offset_to_first_path_idx = motion_utils::calcLongitudinalOffsetToSegment(
-    ego_data.path.points, ego_data.first_path_idx, ego_data.pose.position);
-  const auto min_stop_distance =
-    motion_utils::calcDecelDistWithJerkAndAccConstraints(
-      planner_data_->current_velocity->twist.linear.x, 0.0,
-      planner_data_->current_acceleration->accel.accel.linear.x,
-      planner_data_->max_stop_acceleration_threshold, -planner_data_->max_stop_jerk_threshold,
-      planner_data_->max_stop_jerk_threshold)
-      .value_or(0.0);
-  ego_data.earliest_stop_pose = motion_utils::calcLongitudinalOffsetPose(
-    ego_data.path.points, ego_data.pose.position, min_stop_distance);
-
-  make_ego_footprint_rtree(ego_data, params_);
-  double hysteresis =
-    std::find_if(
-      object_map_.begin(), object_map_.end(),
-      [](const auto & pair) { return pair.second.should_be_avoided(); }) == object_map_.end()
-      ? 0.0
-      : params_.hysteresis;
-  const auto dynamic_obstacles =
-    filter_predicted_objects(*planner_data_->predicted_objects, ego_data, params_, hysteresis);
-
-  const auto preprocessing_duration_us = stopwatch.toc("preprocessing");
-
-  stopwatch.tic("footprints");
-  const auto obstacle_forward_footprints =
-    make_forward_footprints(dynamic_obstacles, params_, hysteresis);
-  const auto footprints_duration_us = stopwatch.toc("footprints");
-  stopwatch.tic("collisions");
-  auto collisions = find_collisions(ego_data, dynamic_obstacles, obstacle_forward_footprints);
-  update_object_map(object_map_, collisions, clock_->now(), ego_data.path.points, params_);
-  std::optional<geometry_msgs::msg::Point> earliest_collision =
-    find_earliest_collision(object_map_, ego_data);
-  const auto collisions_duration_us = stopwatch.toc("collisions");
-  if (earliest_collision) {
-    const auto arc_length_diff = motion_utils::calcSignedArcLength(
-      ego_data.path.points, *earliest_collision, ego_data.pose.position);
-    const auto can_stop_before_limit = arc_length_diff < min_stop_distance -
-                                                           params_.ego_longitudinal_offset -
-                                                           params_.stop_distance_buffer;
-    const auto stop_pose = can_stop_before_limit
-                             ? motion_utils::calcLongitudinalOffsetPose(
-                                 ego_data.path.points, *earliest_collision,
-                                 -params_.stop_distance_buffer - params_.ego_longitudinal_offset)
-                             : ego_data.earliest_stop_pose;
-    debug_data_.stop_pose = stop_pose;
-    if (stop_pose) {
-      motion_utils::insertStopPoint(*stop_pose, 0.0, path->points);
-      const auto stop_pose_reached =
-        planner_data_->current_velocity->twist.linear.x < 1e-3 &&
-        tier4_autoware_utils::calcDistance2d(ego_data.pose, *stop_pose) < 1e-3;
-      velocity_factor_.set(
-        path->points, ego_data.pose, *stop_pose,
-        stop_pose_reached ? VelocityFactor::STOPPED : VelocityFactor::APPROACHING,
-        "dynamic_obstacle_stop");
-    }
-  }
-
-  const auto total_time_us = stopwatch.toc();
-  RCLCPP_DEBUG(
-    logger_,
-    "Total time = %2.2fus\n\tpreprocessing = %2.2fus\n\tfootprints = "
-    "%2.2fus\n\tcollisions = %2.2fus\n",
-    total_time_us, preprocessing_duration_us, footprints_duration_us, collisions_duration_us);
-  debug_data_.ego_footprints = ego_data.path_footprints;
-  debug_data_.obstacle_footprints = obstacle_forward_footprints;
-  debug_data_.z = ego_data.pose.position.z;
-  return true;
-}
-
-MarkerArray DynamicObstacleStopModule::createDebugMarkerArray()
-{
-  const auto z = debug_data_.z;
-  MarkerArray array;
-  std::string ns = "collisions";
-  const auto collision_markers = debug::make_collision_markers(object_map_, ns, z, clock_->now());
-  debug::add_markers(array, debug_data_.prev_collisions_nb, collision_markers, ns);
-  ns = "dynamic_obstacles_footprints";
-  const auto obstacle_footprint_markers =
-    debug::make_polygon_markers(debug_data_.obstacle_footprints, ns, z);
-  debug::add_markers(array, debug_data_.prev_dynamic_obstacles_nb, obstacle_footprint_markers, ns);
-  ns = "ego_footprints";
-  const auto ego_footprint_markers = debug::make_polygon_markers(debug_data_.ego_footprints, ns, z);
-  debug::add_markers(array, debug_data_.prev_ego_footprints_nb, ego_footprint_markers, ns);
-  return array;
-}
-
-motion_utils::VirtualWalls DynamicObstacleStopModule::createVirtualWalls()
-{
-  motion_utils::VirtualWalls virtual_walls{};
-  if (debug_data_.stop_pose) {
-    motion_utils::VirtualWall virtual_wall;
-    virtual_wall.text = "dynamic_obstacle_stop";
-    virtual_wall.longitudinal_offset = params_.ego_longitudinal_offset;
-    virtual_wall.style = motion_utils::VirtualWallType::stop;
-    virtual_wall.pose = *debug_data_.stop_pose;
-    virtual_walls.push_back(virtual_wall);
-  }
-  return virtual_walls;
-}
-
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.hpp b/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.hpp
deleted file mode 100644
index 8018412ba2b4b..0000000000000
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/scene_dynamic_obstacle_stop.hpp
+++ /dev/null
@@ -1,62 +0,0 @@
-// Copyright 2023-2024 TIER IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#ifndef SCENE_DYNAMIC_OBSTACLE_STOP_HPP_
-#define SCENE_DYNAMIC_OBSTACLE_STOP_HPP_
-
-#include "object_stop_decision.hpp"
-#include "types.hpp"
-
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <rclcpp/rclcpp.hpp>
-
-#include <tier4_planning_msgs/msg/path_point_with_lane_id.hpp>
-#include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
-
-#include <memory>
-#include <optional>
-#include <string>
-#include <vector>
-
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
-{
-class DynamicObstacleStopModule : public SceneModuleInterface
-{
-public:
-  DynamicObstacleStopModule(
-    const int64_t module_id, PlannerParam planner_param, const rclcpp::Logger & logger,
-    const rclcpp::Clock::SharedPtr clock);
-
-  /// @brief insert stop or slow down points to prevent dangerously entering another lane
-  /// @param [inout] path the path to update
-  /// @param [inout] stop_reason reason for stopping
-  bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
-
-  visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
-
-private:
-  PlannerParam params_;
-  ObjectStopDecisionMap object_map_;
-
-protected:
-  int64_t module_id_{};
-
-  // Debug
-  mutable DebugData debug_data_;
-};
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
-
-#endif  // SCENE_DYNAMIC_OBSTACLE_STOP_HPP_
diff --git a/planning/behavior_velocity_occlusion_spot_module/plugins.xml b/planning/behavior_velocity_occlusion_spot_module/plugins.xml
deleted file mode 100644
index 53a2c460c2e44..0000000000000
--- a/planning/behavior_velocity_occlusion_spot_module/plugins.xml
+++ /dev/null
@@ -1,3 +0,0 @@
-<library path="autoware_behavior_velocity_occlusion_spot_module">
-  <class type="autoware::behavior_velocity_planner::OcclusionSpotModulePlugin" base_class_type="autoware::behavior_velocity_planner::PluginInterface"/>
-</library>
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/README.md
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/config/blind_spot.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/config/blind_spot.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/config/blind_spot.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/config/blind_spot.param.yaml
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.drawio.svg
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/docs/blind-spot.svg
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_velocity_blind_spot_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/package.xml
index 8a740727445ca..dd4858dabe293 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/package.xml
@@ -17,16 +17,16 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_blind_spot_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/debug.cpp
similarity index 82%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/debug.cpp
index c357df481bca8..714280daad38e 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/debug.cpp
@@ -14,10 +14,10 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 
@@ -27,10 +27,10 @@
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
 
 namespace
 {
@@ -73,12 +73,12 @@ visualization_msgs::msg::MarkerArray createLaneletPolygonsMarkerArray(
 
 }  // namespace
 
-motion_utils::VirtualWalls BlindSpotModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls BlindSpotModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWalls virtual_walls;
 
   if (debug_data_.virtual_wall_pose) {
-    motion_utils::VirtualWall wall;
+    autoware::motion_utils::VirtualWall wall;
     wall.text = "blind_spot";
     wall.pose = debug_data_.virtual_wall_pose.value();
     wall.ns = std::to_string(module_id_) + "_";
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp
similarity index 93%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp
index 6b963d86c9bbf..da4582dd1643f 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/decisions.cpp
@@ -14,7 +14,7 @@
 
 #include "scene.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 namespace autoware::behavior_velocity_planner
 {
@@ -88,8 +88,8 @@ void BlindSpotModule::setRTCStatusByDecision(
 {
   setSafe(false);
   const auto & current_pose = planner_data_->current_odometry->pose;
-  setDistance(
-    motion_utils::calcSignedArcLength(path.points, current_pose.position, decision.stop_line_idx));
+  setDistance(autoware::motion_utils::calcSignedArcLength(
+    path.points, current_pose.position, decision.stop_line_idx));
   return;
 }
 
@@ -124,8 +124,8 @@ void BlindSpotModule::setRTCStatusByDecision(
 {
   setSafe(true);
   const auto & current_pose = planner_data_->current_odometry->pose;
-  setDistance(
-    motion_utils::calcSignedArcLength(path.points, current_pose.position, decision.stop_line_idx));
+  setDistance(autoware::motion_utils::calcSignedArcLength(
+    path.points, current_pose.position, decision.stop_line_idx));
   return;
 }
 
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.cpp
similarity index 96%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.cpp
index 7f2f7ebd89baa..39c82573de0a4 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.cpp
@@ -14,8 +14,8 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include <lanelet2_core/primitives/BasicRegulatoryElements.h>
 
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.hpp
similarity index 88%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.hpp
index 756aec415c4ec..edc4ea502b396 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.cpp
index eed767fb891f9..f7e859a9085c7 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.cpp
@@ -14,13 +14,13 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/regulatory_elements/road_marking.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <boost/geometry/algorithms/area.hpp>
 #include <boost/geometry/algorithms/distance.hpp>
@@ -91,7 +91,7 @@ BlindSpotDecision BlindSpotModule::modifyPathVelocityDetail(
 
   /* calc closest index */
   const auto & current_pose = planner_data_->current_odometry->pose;
-  const auto closest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto closest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     input_path.points, current_pose, planner_data_->ego_nearest_dist_threshold,
     planner_data_->ego_nearest_yaw_threshold);
   const auto stop_line_idx =
@@ -256,7 +256,7 @@ std::optional<lanelet::ConstLanelet> BlindSpotModule::getSiblingStraightLanelet(
 
 static std::optional<size_t> getFirstPointIntersectsLineByFootprint(
   const lanelet::ConstLineString2d & line, const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length)
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length)
 {
   const auto & path_ip = interpolated_path_info.path;
   const auto [lane_start, lane_end] = interpolated_path_info.lane_id_interval.value();
@@ -266,8 +266,8 @@ static std::optional<size_t> getFirstPointIntersectsLineByFootprint(
   const auto line2d = line.basicLineString();
   for (auto i = start; i <= lane_end; ++i) {
     const auto & base_pose = path_ip.points.at(i).point.pose;
-    const auto path_footprint = tier4_autoware_utils::transformVector(
-      footprint, tier4_autoware_utils::pose2transform(base_pose));
+    const auto path_footprint = autoware::universe_utils::transformVector(
+      footprint, autoware::universe_utils::pose2transform(base_pose));
     if (bg::intersects(path_footprint, line2d)) {
       return std::make_optional<size_t>(i);
     }
@@ -282,7 +282,7 @@ static std::optional<size_t> getDuplicatedPointIdx(
     const auto & p = path.points.at(i).point.pose.position;
 
     constexpr double min_dist = 0.001;
-    if (tier4_autoware_utils::calcDistance2d(p, point) < min_dist) {
+    if (autoware::universe_utils::calcDistance2d(p, point) < min_dist) {
       return i;
     }
   }
@@ -299,7 +299,7 @@ static std::optional<size_t> insertPointIndex(
     return duplicate_idx_opt.value();
   }
 
-  const size_t closest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const size_t closest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     inout_path->points, in_pose, ego_nearest_dist_threshold, ego_nearest_yaw_threshold);
   // vector.insert(i) inserts element on the left side of v[i]
   // the velocity need to be zero order hold(from prior point)
@@ -361,12 +361,12 @@ std::optional<std::pair<size_t, size_t>> BlindSpotModule::generateStopLine(
     const geometry_msgs::msg::Point mid_point =
       geometry_msgs::build<geometry_msgs::msg::Point>().x(mid_pt.x()).y(mid_pt.y()).z(mid_pt.z());
     stop_idx_default_ip = stop_idx_critical_ip =
-      motion_utils::findNearestSegmentIndex(path_ip.points, mid_point);
+      autoware::motion_utils::findNearestSegmentIndex(path_ip.points, mid_point);
     /*
     // NOTE: it is not ambiguous when the curve starts on the left/right lanelet, so this module
     inserts stopline at the beginning of the lanelet for baselink
     stop_idx_default_ip = stop_idx_critical_ip = static_cast<size_t>(std::max<int>(0,
-    static_cast<int>(motion_utils::findNearestSegmentIndex(path_ip.points, mid_point)) -
+    static_cast<int>(autoware::motion_utils::findNearestSegmentIndex(path_ip.points, mid_point)) -
     baselink2front_dist));
     */
   }
@@ -419,12 +419,13 @@ std::optional<OverPassJudge> BlindSpotModule::isOverPassJudge(
   const double pass_judge_line_dist = planning_utils::calcJudgeLineDistWithAccLimit(
     planner_data_->current_velocity->twist.linear.x, planner_data_->max_stop_acceleration_threshold,
     planner_data_->delay_response_time);
-  const auto ego_segment_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    input_path.points, current_pose, planner_data_->ego_nearest_dist_threshold,
-    planner_data_->ego_nearest_yaw_threshold);
+  const auto ego_segment_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      input_path.points, current_pose, planner_data_->ego_nearest_dist_threshold,
+      planner_data_->ego_nearest_yaw_threshold);
   const size_t stop_point_segment_idx =
-    motion_utils::findNearestSegmentIndex(input_path.points, stop_point_pose.position);
-  const auto distance_until_stop = motion_utils::calcSignedArcLength(
+    autoware::motion_utils::findNearestSegmentIndex(input_path.points, stop_point_pose.position);
+  const auto distance_until_stop = autoware::motion_utils::calcSignedArcLength(
     input_path.points, current_pose.position, ego_segment_idx, stop_point_pose.position,
     stop_point_segment_idx);
 
diff --git a/planning/autoware_behavior_velocity_blind_spot_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.hpp
similarity index 96%
rename from planning/autoware_behavior_velocity_blind_spot_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.hpp
index 721576a9fac8a..7faf78cb2d979 100644
--- a/planning/autoware_behavior_velocity_blind_spot_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_blind_spot_module/src/scene.hpp
@@ -15,9 +15,9 @@
 #ifndef SCENE_HPP_
 #define SCENE_HPP_
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/state_machine.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/state_machine.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -117,7 +117,7 @@ class BlindSpotModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  std::vector<motion_utils::VirtualWall> createVirtualWalls() override;
+  std::vector<autoware::motion_utils::VirtualWall> createVirtualWalls() override;
 
 private:
   // (semi) const variables
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/README.md
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/config/crosswalk.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/config/crosswalk.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/config/crosswalk.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/config/crosswalk.param.yaml
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_attention_range.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_attention_range.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_attention_range.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_attention_range.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_module.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_module.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_module.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/crosswalk_module.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/debug_markers.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/debug_markers.png
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/debug_markers.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/debug_markers.png
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/example.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/example.png
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/example.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/example.png
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/explicit_stop_line.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/explicit_stop_line.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/explicit_stop_line.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/explicit_stop_line.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/far_object_threshold.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/far_object_threshold.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/far_object_threshold.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/far_object_threshold.drawio.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/stuck_vehicle_detection.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/stuck_vehicle_detection.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/stuck_vehicle_detection.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/stuck_vehicle_detection.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/time_to_collision_plot.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/time_to_collision_plot.png
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/time_to_collision_plot.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/time_to_collision_plot.png
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/ttc-ttv.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/ttc-ttv.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/ttc-ttv.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/ttc-ttv.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/ttc_vs_ttv.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/ttc_vs_ttv.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/ttc_vs_ttv.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/ttc_vs_ttv.drawio.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/virtual_collision_point.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/virtual_collision_point.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/virtual_collision_point.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/virtual_collision_point.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/virtual_stop_line.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/virtual_stop_line.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/virtual_stop_line.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/virtual_stop_line.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/with_occlusion.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/with_occlusion.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/with_occlusion.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/with_occlusion.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/with_traffic_light.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/with_traffic_light.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/with_traffic_light.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/with_traffic_light.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/docs/without_traffic_light.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/without_traffic_light.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/docs/without_traffic_light.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/docs/without_traffic_light.svg
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/include/autoware_behavior_velocity_crosswalk_module/util.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/include/autoware/behavior_velocity_crosswalk_module/util.hpp
similarity index 93%
rename from planning/autoware_behavior_velocity_crosswalk_module/include/autoware_behavior_velocity_crosswalk_module/util.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/include/autoware/behavior_velocity_crosswalk_module/util.hpp
index ef7a8217fc6e6..bcf31eadcc35f 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/include/autoware_behavior_velocity_crosswalk_module/util.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/include/autoware/behavior_velocity_crosswalk_module/util.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
 
 #include <boost/assert.hpp>
 #include <boost/assign/list_of.hpp>
@@ -33,7 +33,7 @@
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
 #include <Eigen/Geometry>
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 #include <tier4_planning_msgs/msg/stop_factor.hpp>
@@ -110,4 +110,4 @@ std::optional<lanelet::ConstLineString3d> getStopLineFromMap(
   const std::string & attribute_name);
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_CROSSWALK_MODULE__UTIL_HPP_
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_velocity_crosswalk_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/package.xml
index c3cf1339bbe6a..85a19411405a7 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/package.xml
@@ -22,26 +22,26 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_grid_map_utils</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>grid_map_core</depend>
   <depend>grid_map_ros</depend>
-  <depend>grid_map_utils</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pcl_conversions</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>sensor_msgs</depend>
   <depend>tier4_api_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/scripts/time_to_collision_plotter.py b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/scripts/time_to_collision_plotter.py
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/scripts/time_to_collision_plotter.py
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/scripts/time_to_collision_plotter.py
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/debug.cpp
similarity index 88%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/debug.cpp
index 1418d46081fcd..d96256d2753ce 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/debug.cpp
@@ -14,24 +14,24 @@
 
 #include "scene_crosswalk.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <vector>
 
 namespace autoware::behavior_velocity_planner
 {
 
-using motion_utils::createSlowDownVirtualWallMarker;
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::createSlowDownVirtualWallMarker;
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 namespace
@@ -177,19 +177,19 @@ visualization_msgs::msg::MarkerArray createCrosswalkMarkers(
 }
 }  // namespace
 
-motion_utils::VirtualWalls CrosswalkModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls CrosswalkModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "crosswalk";
   wall.ns = std::to_string(module_id_) + "_";
 
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : debug_data_.stop_poses) {
     wall.pose = calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
-  wall.style = motion_utils::VirtualWallType::slowdown;
+  wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   wall.text += debug_data_.virtual_wall_suffix;
   for (const auto & p : debug_data_.slow_poses) {
     wall.pose = calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.cpp
index 428ec2510c7f4..82cddc2c28f1e 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.cpp
@@ -14,8 +14,8 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <algorithm>
 #include <limits>
@@ -27,8 +27,8 @@
 namespace autoware::behavior_velocity_planner
 {
 
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::Crosswalk;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 CrosswalkModuleManager::CrosswalkModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterfaceWithRTC(
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.hpp
similarity index 90%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.hpp
index 520dab49b347f..8ce2adea56a4c 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene_crosswalk.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <lanelet2_extension/regulatory_elements/crosswalk.hpp>
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp
index 9b66802c1e5ed..55aa4daed9f87 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.cpp
@@ -14,10 +14,10 @@
 
 #include "occluded_crosswalk.hpp"
 
-#include "autoware_behavior_velocity_crosswalk_module/util.hpp"
+#include "autoware/behavior_velocity_crosswalk_module/util.hpp"
 
+#include <autoware_grid_map_utils/polygon_iterator.hpp>
 #include <grid_map_ros/GridMapRosConverter.hpp>
-#include <grid_map_utils/polygon_iterator.hpp>
 
 #include <algorithm>
 #include <vector>
@@ -118,7 +118,7 @@ void clear_occlusions_behind_objects(
       object.kinematics.initial_pose_with_covariance.pose.position.y};
     if (lanelet::geometry::distance2d(grid_map_position, object_position) < range) {
       lanelet::BasicPoints2d edge_points;
-      const auto object_polygon = tier4_autoware_utils::toPolygon2d(object);
+      const auto object_polygon = autoware::universe_utils::toPolygon2d(object);
       for (const auto & edge_point : object_polygon.outer()) edge_points.push_back(edge_point);
       std::sort(edge_points.begin(), edge_points.end(), angle_cmp);
       // points.push_back(interpolate_point({object_position, edge_point}, 10.0 * range));
@@ -129,7 +129,8 @@ void clear_occlusions_behind_objects(
       polygon_to_clear.addVertex(
         interpolate_point({grid_map_position, edge_points.back()}, 10.0 * range));
       polygon_to_clear.addVertex(edge_points.back());
-      for (grid_map_utils::PolygonIterator it(grid_map, polygon_to_clear); !it.isPastEnd(); ++it)
+      for (autoware::grid_map_utils::PolygonIterator it(grid_map, polygon_to_clear);
+           !it.isPastEnd(); ++it)
         grid_map.at("layer", *it) = 0;
     }
   }
@@ -156,7 +157,7 @@ bool is_crosswalk_occluded(
          crosswalk_lanelet, {path_intersection.x, path_intersection.y}, detection_range)) {
     grid_map::Polygon poly;
     for (const auto & p : detection_area) poly.addVertex(grid_map::Position(p.x(), p.y()));
-    for (grid_map_utils::PolygonIterator iter(grid_map, poly); !iter.isPastEnd(); ++iter)
+    for (autoware::grid_map_utils::PolygonIterator iter(grid_map, poly); !iter.isPastEnd(); ++iter)
       if (is_occluded(grid_map, min_nb_of_cells, *iter, params)) return true;
   }
   return false;
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/occluded_crosswalk.hpp
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp
index 0db87508975a0..786828d72dcb3 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.cpp
@@ -16,15 +16,15 @@
 
 #include "occluded_crosswalk.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <lanelet2_core/geometry/LineString.h>
 #include <lanelet2_routing/RoutingGraph.h>
@@ -41,22 +41,22 @@
 namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
-using motion_utils::calcArcLength;
-using motion_utils::calcDecelDistWithJerkAndAccConstraints;
-using motion_utils::calcLateralOffset;
-using motion_utils::calcLongitudinalOffsetPoint;
-using motion_utils::calcLongitudinalOffsetPose;
-using motion_utils::calcSignedArcLength;
-using motion_utils::calcSignedArcLengthPartialSum;
-using motion_utils::findNearestSegmentIndex;
-using motion_utils::insertTargetPoint;
-using motion_utils::resamplePath;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::getPose;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
-using tier4_autoware_utils::pose2transform;
-using tier4_autoware_utils::toHexString;
+using autoware::motion_utils::calcArcLength;
+using autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints;
+using autoware::motion_utils::calcLateralOffset;
+using autoware::motion_utils::calcLongitudinalOffsetPoint;
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::calcSignedArcLengthPartialSum;
+using autoware::motion_utils::findNearestSegmentIndex;
+using autoware::motion_utils::insertTargetPoint;
+using autoware::motion_utils::resamplePath;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::getPose;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware::universe_utils::pose2transform;
+using autoware::universe_utils::toHexString;
 
 namespace
 {
@@ -85,7 +85,7 @@ void offsetPolygon2d(
 {
   for (const auto & polygon_point : polygon.points) {
     const auto offset_pos =
-      tier4_autoware_utils::calcOffsetPose(origin_point, polygon_point.x, polygon_point.y, 0.0)
+      autoware::universe_utils::calcOffsetPose(origin_point, polygon_point.x, polygon_point.y, 0.0)
         .position;
     offset_polygon.outer().push_back(Point2d(offset_pos.x, offset_pos.y));
   }
@@ -99,7 +99,7 @@ Polygon2d createMultiStepPolygon(
   Polygon2d multi_step_polygon{};
   for (size_t i = start_idx; i <= end_idx; ++i) {
     offsetPolygon2d(
-      tier4_autoware_utils::getPose(obj_path_points.at(i)), polygon, multi_step_polygon);
+      autoware::universe_utils::getPose(obj_path_points.at(i)), polygon, multi_step_polygon);
   }
 
   Polygon2d hull_multi_step_polygon{};
@@ -385,9 +385,10 @@ std::optional<StopFactor> CrosswalkModule::checkStopForCrosswalkUsers(
     const double base_link2front = planner_data_->vehicle_info_.max_longitudinal_offset_m;
     const double dist_ego2crosswalk =
       calcSignedArcLength(ego_path.points, ego_pos, path_intersects.front());
-    const auto braking_distance_opt = motion_utils::calcDecelDistWithJerkAndAccConstraints(
-      ego_vel, 0.0, ego_acc, p.min_acc_for_no_stop_decision, p.max_jerk_for_no_stop_decision,
-      p.min_jerk_for_no_stop_decision);
+    const auto braking_distance_opt =
+      autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
+        ego_vel, 0.0, ego_acc, p.min_acc_for_no_stop_decision, p.max_jerk_for_no_stop_decision,
+        p.min_jerk_for_no_stop_decision);
     const double braking_distance = braking_distance_opt ? *braking_distance_opt : 0.0;
     if (
       dist_ego2crosswalk - base_link2front - braking_distance <
@@ -414,7 +415,7 @@ std::optional<StopFactor> CrosswalkModule::checkStopForCrosswalkUsers(
       if (
         isVehicleType(object.classification) && ego_crosswalk_passage_direction &&
         collision_point.crosswalk_passage_direction) {
-        const double direction_diff = tier4_autoware_utils::normalizeRadian(
+        const double direction_diff = autoware::universe_utils::normalizeRadian(
           collision_point.crosswalk_passage_direction.value() -
           ego_crosswalk_passage_direction.value());
         if (std::fabs(direction_diff) < planner_param_.vehicle_object_cross_angle_threshold) {
@@ -648,13 +649,14 @@ std::optional<double> CrosswalkModule::findEgoPassageDirectionAlongPath(
   auto findIntersectPoint = [&](const lanelet::ConstLineString3d line)
     -> std::optional<std::pair<size_t, geometry_msgs::msg::Point>> {
     const auto line_start =
-      tier4_autoware_utils::createPoint(line.front().x(), line.front().y(), line.front().z());
+      autoware::universe_utils::createPoint(line.front().x(), line.front().y(), line.front().z());
     const auto line_end =
-      tier4_autoware_utils::createPoint(line.back().x(), line.back().y(), line.back().z());
+      autoware::universe_utils::createPoint(line.back().x(), line.back().y(), line.back().z());
     for (unsigned i = 0; i < path.points.size() - 1; ++i) {
       const auto & start = path.points.at(i).point.pose.position;
       const auto & end = path.points.at(i + 1).point.pose.position;
-      if (const auto intersect = tier4_autoware_utils::intersect(line_start, line_end, start, end);
+      if (const auto intersect =
+            autoware::universe_utils::intersect(line_start, line_end, start, end);
           intersect.has_value()) {
         return std::make_optional(std::make_pair(i, intersect.value()));
       }
@@ -676,18 +678,19 @@ std::optional<double> CrosswalkModule::findEgoPassageDirectionAlongPath(
 std::optional<double> CrosswalkModule::findObjectPassageDirectionAlongVehicleLane(
   const autoware_perception_msgs::msg::PredictedPath & path) const
 {
-  using tier4_autoware_utils::Segment2d;
+  using autoware::universe_utils::Segment2d;
 
   auto findIntersectPoint = [&](const lanelet::ConstLineString3d line)
     -> std::optional<std::pair<size_t, geometry_msgs::msg::Point>> {
     const auto line_start =
-      tier4_autoware_utils::createPoint(line.front().x(), line.front().y(), line.front().z());
+      autoware::universe_utils::createPoint(line.front().x(), line.front().y(), line.front().z());
     const auto line_end =
-      tier4_autoware_utils::createPoint(line.back().x(), line.back().y(), line.back().z());
+      autoware::universe_utils::createPoint(line.back().x(), line.back().y(), line.back().z());
     for (unsigned i = 0; i < path.path.size() - 1; ++i) {
       const auto & start = path.path.at(i).position;
       const auto & end = path.path.at(i + 1).position;
-      if (const auto intersect = tier4_autoware_utils::intersect(line_start, line_end, start, end);
+      if (const auto intersect =
+            autoware::universe_utils::intersect(line_start, line_end, start, end);
           intersect.has_value()) {
         return std::make_optional(std::make_pair(i, intersect.value()));
       }
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp
similarity index 96%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp
index fe353b24273e6..491e0dadd4d80 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/scene_crosswalk.hpp
@@ -15,13 +15,13 @@
 #ifndef SCENE_CROSSWALK_HPP_
 #define SCENE_CROSSWALK_HPP_
 
-#include "autoware_behavior_velocity_crosswalk_module/util.hpp"
+#include "autoware/behavior_velocity_crosswalk_module/util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <lanelet2_extension/regulatory_elements/crosswalk.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
@@ -49,14 +49,14 @@
 namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
+using autoware::universe_utils::Polygon2d;
+using autoware::universe_utils::StopWatch;
 using autoware_perception_msgs::msg::ObjectClassification;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::TrafficLightElement;
 using lanelet::autoware::Crosswalk;
 using tier4_api_msgs::msg::CrosswalkStatus;
-using tier4_autoware_utils::Polygon2d;
-using tier4_autoware_utils::StopWatch;
 using tier4_planning_msgs::msg::PathWithLaneId;
 
 namespace
@@ -263,8 +263,8 @@ class CrosswalkModule : public SceneModuleInterface
 
       const bool is_object_away_from_path =
         !attention_area.outer().empty() &&
-        boost::geometry::distance(tier4_autoware_utils::fromMsg(position).to_2d(), attention_area) >
-          0.5;
+        boost::geometry::distance(
+          autoware::universe_utils::fromMsg(position).to_2d(), attention_area) > 0.5;
 
       // add new object
       if (objects.count(uuid) == 0) {
@@ -327,7 +327,7 @@ class CrosswalkModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   // main functions
diff --git a/planning/autoware_behavior_velocity_crosswalk_module/src/util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/util.cpp
similarity index 91%
rename from planning/autoware_behavior_velocity_crosswalk_module/src/util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/util.cpp
index 1e40429e3a704..93b9780445479 100644
--- a/planning/autoware_behavior_velocity_crosswalk_module/src/util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_crosswalk_module/src/util.cpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "autoware_behavior_velocity_crosswalk_module/util.hpp"
+#include "autoware/behavior_velocity_crosswalk_module/util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 
@@ -48,10 +48,10 @@
 namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
-using motion_utils::calcSignedArcLength;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::Line2d;
-using tier4_autoware_utils::Point2d;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::Line2d;
+using autoware::universe_utils::Point2d;
 
 std::vector<std::pair<int64_t, lanelet::ConstLanelet>> getCrosswalksOnPath(
   const geometry_msgs::msg::Pose & current_pose,
@@ -152,7 +152,7 @@ std::vector<geometry_msgs::msg::Point> getPolygonIntersects(
 
   std::sort(intersects.begin(), intersects.end(), compare);
 
-  // convert tier4_autoware_utils::Point2d to geometry::msg::Point
+  // convert autoware::universe_utils::Point2d to geometry::msg::Point
   std::vector<geometry_msgs::msg::Point> geometry_points;
   for (const auto & p : intersects) {
     geometry_points.push_back(createPoint(p.x(), p.y(), ego_pos.z));
@@ -201,7 +201,7 @@ std::vector<geometry_msgs::msg::Point> getLinestringIntersects(
 
   std::sort(intersects.begin(), intersects.end(), compare);
 
-  // convert tier4_autoware_utils::Point2d to geometry::msg::Point
+  // convert autoware::universe_utils::Point2d to geometry::msg::Point
   std::vector<geometry_msgs::msg::Point> geometry_points;
   for (const auto & p : intersects) {
     geometry_points.push_back(createPoint(p.x(), p.y(), ego_pos.z));
diff --git a/planning/behavior_velocity_detection_area_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/CMakeLists.txt
similarity index 84%
rename from planning/behavior_velocity_detection_area_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/CMakeLists.txt
index e6990d2d28642..57eb826927663 100644
--- a/planning/behavior_velocity_detection_area_module/CMakeLists.txt
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.14)
-project(behavior_velocity_detection_area_module)
+project(autoware_behavior_velocity_detection_area_module)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
diff --git a/planning/behavior_velocity_detection_area_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/README.md
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/README.md
diff --git a/planning/behavior_velocity_detection_area_module/config/detection_area.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/config/detection_area.param.yaml
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/config/detection_area.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/config/detection_area.param.yaml
diff --git a/planning/behavior_velocity_detection_area_module/docs/detection_area.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/detection_area.svg
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/docs/detection_area.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/detection_area.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/keep_stopping.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/keep_stopping.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/keep_stopping.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/keep_stopping.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/restart.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/restart.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/restart.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/restart.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/restart_prevention.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/restart_prevention.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/restart_prevention.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/docs/restart_prevention.svg
diff --git a/planning/behavior_velocity_detection_area_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/package.xml
similarity index 84%
rename from planning/behavior_velocity_detection_area_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/package.xml
index 363251b9b5ef8..5a15c78c9dee2 100644
--- a/planning/behavior_velocity_detection_area_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>behavior_velocity_detection_area_module</name>
+  <name>autoware_behavior_velocity_detection_area_module</name>
   <version>0.1.0</version>
-  <description>The behavior_velocity_detection_area_module package</description>
+  <description>The autoware_behavior_velocity_detection_area_module package</description>
 
   <maintainer email="kyoichi.sugahara@tier4.jp">Kyoichi Sugahara</maintainer>
   <maintainer email="tomoya.kimura@tier4.jp">Tomoya Kimura</maintainer>
@@ -18,19 +18,19 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/behavior_velocity_detection_area_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/plugins.xml
similarity index 71%
rename from planning/behavior_velocity_detection_area_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/plugins.xml
index 9356c863ec26e..b499ad3f293e8 100644
--- a/planning/behavior_velocity_detection_area_module/plugins.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/plugins.xml
@@ -1,3 +1,3 @@
-<library path="behavior_velocity_detection_area_module">
+<library path="autoware_behavior_velocity_detection_area_module">
   <class type="autoware::behavior_velocity_planner::DetectionAreaModulePlugin" base_class_type="autoware::behavior_velocity_planner::PluginInterface"/>
 </library>
diff --git a/planning/behavior_velocity_detection_area_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/debug.cpp
similarity index 84%
rename from planning/behavior_velocity_detection_area_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/debug.cpp
index 1ce982cd8df52..87df2a620f717 100644
--- a/planning/behavior_velocity_detection_area_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/debug.cpp
@@ -14,11 +14,11 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
@@ -31,11 +31,11 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 using std_msgs::msg::ColorRGBA;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
 
 namespace
 {
@@ -171,21 +171,21 @@ visualization_msgs::msg::MarkerArray DetectionAreaModule::createDebugMarkerArray
   return wall_marker;
 }
 
-motion_utils::VirtualWalls DetectionAreaModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls DetectionAreaModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "detection_area";
 
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : debug_data_.stop_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
 
-  wall.style = motion_utils::VirtualWallType::deadline;
+  wall.style = autoware::motion_utils::VirtualWallType::deadline;
   for (const auto & p : debug_data_.dead_line_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
   return virtual_walls;
diff --git a/planning/behavior_velocity_detection_area_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.cpp
similarity index 95%
rename from planning/behavior_velocity_detection_area_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.cpp
index 336a1710ed593..4887fd7423817 100644
--- a/planning/behavior_velocity_detection_area_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.cpp
@@ -14,9 +14,9 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <tf2/utils.h>
 
@@ -30,8 +30,8 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::DetectionArea;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 DetectionAreaModuleManager::DetectionAreaModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterfaceWithRTC(
diff --git a/planning/behavior_velocity_detection_area_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.hpp
similarity index 89%
rename from planning/behavior_velocity_detection_area_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.hpp
index 64a76171814b9..7aa60cbbaa18b 100644
--- a/planning/behavior_velocity_detection_area_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/behavior_velocity_detection_area_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.cpp
similarity index 96%
rename from planning/behavior_velocity_detection_area_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.cpp
index acd4c3650d34a..7abd88d59f398 100644
--- a/planning/behavior_velocity_detection_area_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.cpp
@@ -14,9 +14,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_eigen/tf2_eigen.h>
 #else
@@ -33,8 +33,8 @@
 namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
-using motion_utils::calcLongitudinalOffsetPose;
-using motion_utils::calcSignedArcLength;
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::motion_utils::calcSignedArcLength;
 
 DetectionAreaModule::DetectionAreaModule(
   const int64_t module_id, const int64_t lane_id,
@@ -288,7 +288,7 @@ std::vector<geometry_msgs::msg::Point> DetectionAreaModule::getObstaclePoints()
                                   (circle.first.y() - p.y) * (circle.first.y() - p.y);
       if (squared_dist <= circle.second) {
         if (bg::within(Point2d{p.x, p.y}, poly.basicPolygon())) {
-          obstacle_points.push_back(tier4_autoware_utils::createPoint(p.x, p.y, p.z));
+          obstacle_points.push_back(autoware::universe_utils::createPoint(p.x, p.y, p.z));
           // get all obstacle point becomes high computation cost so skip if any point is found
           break;
         }
diff --git a/planning/behavior_velocity_detection_area_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.hpp
similarity index 93%
rename from planning/behavior_velocity_detection_area_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.hpp
index f577cd92dea6e..5b15cc92f57b1 100644
--- a/planning/behavior_velocity_detection_area_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_detection_area_module/src/scene.hpp
@@ -23,8 +23,8 @@
 
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
 #include <lanelet2_extension/regulatory_elements/detection_area.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -73,7 +73,7 @@ class DetectionAreaModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   LineString2d getStopLineGeometry2d() const;
diff --git a/planning/autoware_behavior_velocity_intersection_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_intersection_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/README.md
diff --git a/planning/autoware_behavior_velocity_intersection_module/config/intersection.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/config/intersection.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/config/intersection.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/config/intersection.param.yaml
diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/data-structure.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/data-structure.drawio.svg
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rename from planning/autoware_behavior_velocity_intersection_module/docs/data-structure.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/data-structure.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/intersection-attention.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/intersection-attention.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/intersection-stoplines.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/intersection-stoplines.drawio.svg
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rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/intersection-stoplines.drawio.svg
diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/intersection-topology.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/intersection-topology.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/merge_from_private.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/merge_from_private.png
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rename from planning/autoware_behavior_velocity_intersection_module/docs/merge_from_private.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/merge_from_private.png
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/pass-judge-line.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/pass-judge-line.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/stuck-vehicle.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/stuck-vehicle.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/ugly-intersection.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/ugly-intersection.drawio.svg
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diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/upstream-velocity.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/upstream-velocity.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/docs/upstream-velocity.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/upstream-velocity.drawio.svg
diff --git a/planning/autoware_behavior_velocity_intersection_module/docs/yield-stuck.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/yield-stuck.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/docs/yield-stuck.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/docs/yield-stuck.drawio.svg
diff --git a/planning/autoware_behavior_velocity_intersection_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_velocity_intersection_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/package.xml
index 4e79139ba2fe7..e240722e66a5b 100644
--- a/planning/autoware_behavior_velocity_intersection_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/package.xml
@@ -19,10 +19,12 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_rtc_interface</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>fmt</depend>
   <depend>geometry_msgs</depend>
@@ -30,12 +32,10 @@
   <depend>lanelet2_extension</depend>
   <depend>libopencv-dev</depend>
   <depend>magic_enum</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_velocity_intersection_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_intersection_module/scripts/ttc.py b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/scripts/ttc.py
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/scripts/ttc.py
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/scripts/ttc.py
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/debug.cpp
similarity index 92%
rename from planning/autoware_behavior_velocity_intersection_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/debug.cpp
index ab09ca2e6e746..a53b6e7cd7f92 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/debug.cpp
@@ -15,10 +15,10 @@
 #include "scene_intersection.hpp"
 #include "scene_merge_from_private_road.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <tf2/utils.h>
 
@@ -33,10 +33,10 @@
 
 namespace
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
 
 visualization_msgs::msg::MarkerArray createLaneletPolygonsMarkerArray(
   const std::vector<lanelet::CompoundPolygon3d> & polygons, const std::string & ns,
@@ -226,10 +226,10 @@ constexpr std::tuple<float, float, float> light_blue()
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
 
 visualization_msgs::msg::MarkerArray IntersectionModule::createDebugMarkerArray()
 {
@@ -424,27 +424,27 @@ visualization_msgs::msg::MarkerArray IntersectionModule::createDebugMarkerArray(
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls IntersectionModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls IntersectionModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
 
   if (debug_data_.collision_stop_wall_pose) {
-    wall.style = motion_utils::VirtualWallType::stop;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.text = "intersection";
     wall.ns = "intersection" + std::to_string(module_id_) + "_";
     wall.pose = debug_data_.collision_stop_wall_pose.value();
     virtual_walls.push_back(wall);
   }
   if (debug_data_.occlusion_first_stop_wall_pose) {
-    wall.style = motion_utils::VirtualWallType::stop;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.text = "intersection";
     wall.ns = "intersection_occlusion_first_stop" + std::to_string(module_id_) + "_";
     wall.pose = debug_data_.occlusion_first_stop_wall_pose.value();
     virtual_walls.push_back(wall);
   }
   if (debug_data_.occlusion_stop_wall_pose) {
-    wall.style = motion_utils::VirtualWallType::stop;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.text = "intersection_occlusion";
     if (debug_data_.static_occlusion_with_traffic_light_timeout) {
       std::stringstream timeout;
@@ -457,7 +457,7 @@ motion_utils::VirtualWalls IntersectionModule::createVirtualWalls()
     virtual_walls.push_back(wall);
   }
   if (debug_data_.absence_traffic_light_creep_wall) {
-    wall.style = motion_utils::VirtualWallType::slowdown;
+    wall.style = autoware::motion_utils::VirtualWallType::slowdown;
     wall.text = "intersection_occlusion";
     wall.ns = "intersection_occlusion" + std::to_string(module_id_) + "_";
     wall.pose = debug_data_.absence_traffic_light_creep_wall.value();
@@ -483,13 +483,13 @@ visualization_msgs::msg::MarkerArray MergeFromPrivateRoadModule::createDebugMark
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls MergeFromPrivateRoadModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls MergeFromPrivateRoadModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWalls virtual_walls;
   const auto state = state_machine_.getState();
   if (state == StateMachine::State::STOP) {
-    motion_utils::VirtualWall wall;
-    wall.style = motion_utils::VirtualWallType::stop;
+    autoware::motion_utils::VirtualWall wall;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.pose = debug_data_.virtual_wall_pose;
     wall.text = "merge_from_private_road";
     virtual_walls.push_back(wall);
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/decision_result.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/decision_result.cpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/decision_result.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/decision_result.cpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/decision_result.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/decision_result.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/decision_result.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/decision_result.hpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/interpolated_path_info.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/interpolated_path_info.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/interpolated_path_info.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/interpolated_path_info.hpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp
index be7e9e25cc8bc..648fc611ac6b1 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.cpp
@@ -26,7 +26,7 @@ namespace autoware::behavior_velocity_planner
 
 void IntersectionLanelets::update(
   const bool is_prioritized, const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length,
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length,
   lanelet::routing::RoutingGraphPtr routing_graph_ptr)
 {
   is_prioritized_ = is_prioritized;
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp
similarity index 97%
rename from planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp
index a7ca5eb3b0bc1..f8110475e2782 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_lanelets.hpp
@@ -17,7 +17,7 @@
 
 #include "interpolated_path_info.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <lanelet2_core/primitives/CompoundPolygon.h>
 #include <lanelet2_core/primitives/Lanelet.h>
@@ -41,7 +41,7 @@ struct IntersectionLanelets
    */
   void update(
     const bool is_prioritized, const InterpolatedPathInfo & interpolated_path_info,
-    const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length,
+    const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length,
     lanelet::routing::RoutingGraphPtr routing_graph_ptr);
 
   const lanelet::ConstLanelets & attention() const
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/intersection_stoplines.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_stoplines.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/intersection_stoplines.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/intersection_stoplines.hpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.cpp
similarity index 99%
rename from planning/autoware_behavior_velocity_intersection_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.cpp
index 8f540603791cb..3fa2dc3efb5b1 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.cpp
@@ -14,10 +14,10 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <lanelet2_core/primitives/BasicRegulatoryElements.h>
 
@@ -30,7 +30,7 @@
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::getOrDeclareParameter;
+using autoware::universe_utils::getOrDeclareParameter;
 
 IntersectionModuleManager::IntersectionModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterfaceWithRTC(
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.hpp
similarity index 94%
rename from planning/autoware_behavior_velocity_intersection_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.hpp
index ecf6bb810f313..8189cbe7bc5d7 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/manager.hpp
@@ -18,9 +18,9 @@
 #include "scene_intersection.hpp"
 #include "scene_merge_from_private_road.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <std_msgs/msg/string.hpp>
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/object_manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/object_manager.cpp
similarity index 92%
rename from planning/autoware_behavior_velocity_intersection_module/src/object_manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/object_manager.cpp
index 7473cefa94cac..650363c602b90 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/object_manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/object_manager.cpp
@@ -14,9 +14,9 @@
 
 #include "object_manager.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
 
 #include <boost/geometry/algorithms/convex_hull.hpp>
 #include <boost/geometry/algorithms/correct.hpp>
@@ -38,15 +38,15 @@ std::string to_string(const unique_identifier_msgs::msg::UUID & uuid)
   return ss.str();
 }
 
-tier4_autoware_utils::Polygon2d createOneStepPolygon(
+autoware::universe_utils::Polygon2d createOneStepPolygon(
   const geometry_msgs::msg::Pose & prev_pose, const geometry_msgs::msg::Pose & next_pose,
   const autoware_perception_msgs::msg::Shape & shape)
 {
   namespace bg = boost::geometry;
-  const auto prev_poly = tier4_autoware_utils::toPolygon2d(prev_pose, shape);
-  const auto next_poly = tier4_autoware_utils::toPolygon2d(next_pose, shape);
+  const auto prev_poly = autoware::universe_utils::toPolygon2d(prev_pose, shape);
+  const auto next_poly = autoware::universe_utils::toPolygon2d(next_pose, shape);
 
-  tier4_autoware_utils::Polygon2d one_step_poly;
+  autoware::universe_utils::Polygon2d one_step_poly;
   for (const auto & point : prev_poly.outer()) {
     one_step_poly.outer().push_back(point);
   }
@@ -56,7 +56,7 @@ tier4_autoware_utils::Polygon2d createOneStepPolygon(
 
   bg::correct(one_step_poly);
 
-  tier4_autoware_utils::Polygon2d convex_one_step_poly;
+  autoware::universe_utils::Polygon2d convex_one_step_poly;
   bg::convex_hull(one_step_poly, convex_one_step_poly);
 
   return convex_one_step_poly;
@@ -164,13 +164,13 @@ bool ObjectInfo::can_stop_before_ego_lane(
   const auto stopline = stopline_opt.value();
   const auto stopline_p1 = stopline.front();
   const auto stopline_p2 = stopline.back();
-  const tier4_autoware_utils::Point2d stopline_mid{
+  const autoware::universe_utils::Point2d stopline_mid{
     (stopline_p1.x() + stopline_p2.x()) / 2.0, (stopline_p1.y() + stopline_p2.y()) / 2.0};
   const auto attention_lane_end = attention_lanelet.centerline().back();
-  const tier4_autoware_utils::LineString2d attention_lane_later_part(
-    {tier4_autoware_utils::Point2d{stopline_mid.x(), stopline_mid.y()},
-     tier4_autoware_utils::Point2d{attention_lane_end.x(), attention_lane_end.y()}});
-  std::vector<tier4_autoware_utils::Point2d> ego_collision_points;
+  const autoware::universe_utils::LineString2d attention_lane_later_part(
+    {autoware::universe_utils::Point2d{stopline_mid.x(), stopline_mid.y()},
+     autoware::universe_utils::Point2d{attention_lane_end.x(), attention_lane_end.y()}});
+  std::vector<autoware::universe_utils::Point2d> ego_collision_points;
   bg::intersection(
     attention_lane_later_part, ego_lane.centerline2d().basicLineString(), ego_collision_points);
   if (ego_collision_points.empty()) {
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/object_manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/object_manager.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/object_manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/object_manager.hpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/result.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/result.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_intersection_module/src/result.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/result.hpp
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp
similarity index 96%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp
index beed0aab8e382..274bbe5627b22 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.cpp
@@ -16,15 +16,15 @@
 
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/factor/velocity_factor_interface.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <lanelet2_extension/regulatory_elements/autoware_traffic_light.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/factor/velocity_factor_interface.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <boost/geometry/algorithms/within.hpp>
 
@@ -42,7 +42,7 @@ namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
 
-using motion_utils::VelocityFactorInterface;
+using autoware::motion_utils::VelocityFactorInterface;
 
 IntersectionModule::IntersectionModule(
   const int64_t module_id, const int64_t lane_id,
@@ -56,7 +56,7 @@ IntersectionModule::IntersectionModule(
   associative_ids_(associative_ids),
   turn_direction_(turn_direction),
   has_traffic_light_(has_traffic_light),
-  occlusion_uuid_(tier4_autoware_utils::generateUUID())
+  occlusion_uuid_(autoware::universe_utils::generateUUID())
 {
   velocity_factor_.init(PlanningBehavior::INTERSECTION);
 
@@ -342,7 +342,7 @@ DecisionResult IntersectionModule::modifyPathVelocityDetail(
   // Occluded
   // utility functions
   auto fromEgoDist = [&](const size_t index) {
-    return motion_utils::calcSignedArcLength(path->points, closest_idx, index);
+    return autoware::motion_utils::calcSignedArcLength(path->points, closest_idx, index);
   };
   auto stoppedForDuration =
     [&](const size_t pos, const double duration, StateMachine & state_machine) {
@@ -527,12 +527,13 @@ void prepareRTCByDecisionResult(
   const auto closest_idx = result.closest_idx;
   const auto stopline_idx = result.stuck_stopline_idx;
   *default_safety = false;
-  *default_distance = motion_utils::calcSignedArcLength(path.points, closest_idx, stopline_idx);
+  *default_distance =
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, stopline_idx);
   *occlusion_safety = true;
   if (result.occlusion_stopline_idx) {
     const auto occlusion_stopline_idx = result.occlusion_stopline_idx.value();
     *occlusion_distance =
-      motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+      autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   }
   return;
 }
@@ -547,7 +548,8 @@ void prepareRTCByDecisionResult(
   const auto closest_idx = result.closest_idx;
   const auto stopline_idx = result.stuck_stopline_idx;
   *default_safety = false;
-  *default_distance = motion_utils::calcSignedArcLength(path.points, closest_idx, stopline_idx);
+  *default_distance =
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, stopline_idx);
   *occlusion_safety = true;
   return;
 }
@@ -563,11 +565,11 @@ void prepareRTCByDecisionResult(
   const auto collision_stopline_idx = result.collision_stopline_idx;
   *default_safety = false;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   const auto occlusion_stopline = result.occlusion_stopline_idx;
   *occlusion_safety = true;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline);
   return;
 }
 
@@ -583,10 +585,10 @@ void prepareRTCByDecisionResult(
   const auto occlusion_stopline_idx = result.occlusion_stopline_idx;
   *default_safety = false;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, first_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, first_stopline_idx);
   *occlusion_safety = result.is_actually_occlusion_cleared;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   return;
 }
 
@@ -602,10 +604,10 @@ void prepareRTCByDecisionResult(
   const auto occlusion_stopline_idx = result.occlusion_stopline_idx;
   *default_safety = true;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   *occlusion_safety = result.is_actually_occlusion_cleared;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   return;
 }
 
@@ -620,7 +622,7 @@ void prepareRTCByDecisionResult(
   const auto collision_stopline_idx = result.closest_idx;
   *default_safety = !result.collision_detected;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   *occlusion_safety = result.is_actually_occlusion_cleared;
   *occlusion_distance = 0;
   return;
@@ -638,10 +640,10 @@ void prepareRTCByDecisionResult(
   const auto occlusion_stopline_idx = result.occlusion_stopline_idx;
   *default_safety = false;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   *occlusion_safety = result.is_actually_occlusion_cleared;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   return;
 }
 
@@ -656,10 +658,10 @@ void prepareRTCByDecisionResult(
   const auto occlusion_stopline_idx = result.occlusion_stopline_idx;
   *default_safety = true;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   *occlusion_safety = true;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   return;
 }
 
@@ -675,10 +677,10 @@ void prepareRTCByDecisionResult(
   const auto occlusion_stopline_idx = result.occlusion_stopline_idx;
   *default_safety = !result.collision_detected;
   *default_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_stopline_idx);
   *occlusion_safety = true;
   *occlusion_distance =
-    motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
+    autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, occlusion_stopline_idx);
   return;
 }
 
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp
similarity index 99%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp
index e25f41a18028a..ea2e1a7ae16d7 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection.hpp
@@ -22,9 +22,9 @@
 #include "object_manager.hpp"
 #include "result.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/state_machine.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/state_machine.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_debug_msgs/msg/float64_multi_array_stamped.hpp>
@@ -325,7 +325,7 @@ class IntersectionModule : public SceneModuleInterface
   /** @}*/
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
   const std::set<lanelet::Id> & getAssociativeIds() const { return associative_ids_; }
 
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp
index fb06ed9d811c8..906d39a9b127f 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_collision.cpp
@@ -15,13 +15,13 @@
 #include "scene_intersection.hpp"
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
-#include <autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp>  // for smoothPath
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
+#include <autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp>  // for smoothPath
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <magic_enum.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersects.hpp>
@@ -111,7 +111,7 @@ void IntersectionModule::updateObjectInfoManagerArea()
         return false;
       }
       return bg::within(
-        tier4_autoware_utils::Point2d{obj_pos.x, obj_pos.y}, intersection_area.value());
+        autoware::universe_utils::Point2d{obj_pos.x, obj_pos.y}, intersection_area.value());
     }();
     std::optional<lanelet::ConstLanelet> attention_lanelet{std::nullopt};
     std::optional<lanelet::ConstLineString3d> stopline{std::nullopt};
@@ -265,7 +265,9 @@ void IntersectionModule::updateObjectInfoManagerCollision(
         continue;
       }
       const auto & object_passage_interval = object_passage_interval_opt.value();
-      const auto [object_enter_time, object_exit_time] = object_passage_interval.interval_time;
+      const auto object_enter_exit_time = object_passage_interval.interval_time;
+      const auto object_enter_time = std::get<0>(object_enter_exit_time);
+      const auto object_exit_time = std::get<1>(object_enter_exit_time);
       const auto ego_start_itr = std::lower_bound(
         time_distance_array.begin(), time_distance_array.end(),
         object_enter_time - collision_start_margin_time,
@@ -311,7 +313,7 @@ void IntersectionModule::updateObjectInfoManagerCollision(
       for (auto i = begin; i <= end; ++i) {
         if (bg::intersects(
               polygon,
-              tier4_autoware_utils::toPolygon2d(object_path.at(i), predicted_object.shape))) {
+              autoware::universe_utils::toPolygon2d(object_path.at(i), predicted_object.shape))) {
           collision_detected = true;
           break;
         }
@@ -490,13 +492,13 @@ std::string IntersectionModule::generateDetectionBlameDiagnosis(
           "judge line({2} seconds before from now) given the estimated current velocity {3}[m/s]. "
           "ego was at x = {4}, y = {5} when it passed the 1st pass judge line so it is the fault "
           "of detection side that failed to detect around {6}[m] range at that time.\n",
-          past_position.x,                                                                 // 0
-          past_position.y,                                                                 // 1
-          time_diff,                                                                       // 2
-          object_info->observed_velocity(),                                                // 3
-          passed_1st_judge_line_pose.position.x,                                           // 4
-          passed_1st_judge_line_pose.position.y,                                           // 5
-          tier4_autoware_utils::calcDistance2d(passed_1st_judge_line_pose, past_position)  // 6
+          past_position.x,                                                                     // 0
+          past_position.y,                                                                     // 1
+          time_diff,                                                                           // 2
+          object_info->observed_velocity(),                                                    // 3
+          passed_1st_judge_line_pose.position.x,                                               // 4
+          passed_1st_judge_line_pose.position.y,                                               // 5
+          autoware::universe_utils::calcDistance2d(passed_1st_judge_line_pose, past_position)  // 6
         );
       }
     }
@@ -528,13 +530,13 @@ std::string IntersectionModule::generateDetectionBlameDiagnosis(
           "judge line({2} seconds before from now) given the estimated current velocity {3}[m/s]. "
           "ego was at x = {4}, y = {5} when it passed the 2nd pass judge line so it is the fault "
           "of detection side that failed to detect around {6}[m] range at that time.\n",
-          past_position.x,                                                                 // 0
-          past_position.y,                                                                 // 1
-          time_diff,                                                                       // 2
-          object_info->observed_velocity(),                                                // 3
-          passed_2nd_judge_line_pose.position.x,                                           // 4
-          passed_2nd_judge_line_pose.position.y,                                           // 5
-          tier4_autoware_utils::calcDistance2d(passed_2nd_judge_line_pose, past_position)  // 6
+          past_position.x,                                                                     // 0
+          past_position.y,                                                                     // 1
+          time_diff,                                                                           // 2
+          object_info->observed_velocity(),                                                    // 3
+          passed_2nd_judge_line_pose.position.x,                                               // 4
+          passed_2nd_judge_line_pose.position.y,                                               // 5
+          autoware::universe_utils::calcDistance2d(passed_2nd_judge_line_pose, past_position)  // 6
         );
       }
     }
@@ -614,10 +616,10 @@ std::string IntersectionModule::generateEgoRiskEvasiveDiagnosis(
     const auto [begin, end] = unsafe_interval.interval_position;
     const auto &p1 = unsafe_interval.path.at(begin).position,
                p2 = unsafe_interval.path.at(end).position;
-    const auto collision_pos =
-      tier4_autoware_utils::createPoint((p1.x + p2.x) / 2, (p1.y + p2.y) / 2, (p1.z + p2.z) / 2);
+    const auto collision_pos = autoware::universe_utils::createPoint(
+      (p1.x + p2.x) / 2, (p1.y + p2.y) / 2, (p1.z + p2.z) / 2);
     const auto object_dist_to_margin_point =
-      tier4_autoware_utils::calcDistance2d(
+      autoware::universe_utils::calcDistance2d(
         object_info->predicted_object().kinematics.initial_pose_with_covariance.pose.position,
         collision_pos) -
       planner_param_.collision_detection.avoid_collision_by_acceleration
@@ -630,7 +632,7 @@ std::string IntersectionModule::generateEgoRiskEvasiveDiagnosis(
       object_dist_to_margin_point / std::max(min_vel, object_info->observed_velocity());
     // ego side
     const double ego_dist_to_collision_pos =
-      motion_utils::calcSignedArcLength(path.points, closest_idx, collision_pos);
+      autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, collision_pos);
     const auto ego_eta_to_collision_pos_it = std::lower_bound(
       ego_time_distance_array.begin(), ego_time_distance_array.end(), ego_dist_to_collision_pos,
       [](const auto & a, const double b) { return a.second < b; });
@@ -779,7 +781,8 @@ std::optional<size_t> IntersectionModule::checkAngleForTargetLanelets(
     }
     const double ll_angle = lanelet::utils::getLaneletAngle(ll, pose.position);
     const double pose_angle = tf2::getYaw(pose.orientation);
-    const double angle_diff = tier4_autoware_utils::normalizeRadian(ll_angle - pose_angle, -M_PI);
+    const double angle_diff =
+      autoware::universe_utils::normalizeRadian(ll_angle - pose_angle, -M_PI);
     if (consider_wrong_direction_vehicle) {
       if (std::fabs(angle_diff) > 1.57 || std::fabs(angle_diff) < detection_area_angle_thr) {
         return std::make_optional<size_t>(i);
@@ -896,15 +899,16 @@ IntersectionModule::TimeDistanceArray IntersectionModule::calcIntersectionPassin
 
   // NOTE: `reference_path` is resampled in `reference_smoothed_path`, so
   // `last_intersection_stopline_candidate_idx` makes no sense
-  const auto smoothed_path_closest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
-    smoothed_reference_path.points, path.points.at(closest_idx).point.pose,
-    planner_data_->ego_nearest_dist_threshold, planner_data_->ego_nearest_yaw_threshold);
+  const auto smoothed_path_closest_idx =
+    autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
+      smoothed_reference_path.points, path.points.at(closest_idx).point.pose,
+      planner_data_->ego_nearest_dist_threshold, planner_data_->ego_nearest_yaw_threshold);
 
   const std::optional<size_t> upstream_stopline_idx_opt = [&]() -> std::optional<size_t> {
     if (upstream_stopline) {
       const auto upstream_stopline_point =
         reference_path.points.at(upstream_stopline.value()).point.pose;
-      return motion_utils::findFirstNearestIndexWithSoftConstraints(
+      return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
         smoothed_reference_path.points, upstream_stopline_point,
         planner_data_->ego_nearest_dist_threshold, planner_data_->ego_nearest_yaw_threshold);
     } else {
@@ -916,7 +920,7 @@ IntersectionModule::TimeDistanceArray IntersectionModule::calcIntersectionPassin
     const auto & p1 = smoothed_reference_path.points.at(i);
     const auto & p2 = smoothed_reference_path.points.at(i + 1);
 
-    const double dist = tier4_autoware_utils::calcDistance2d(p1, p2);
+    const double dist = autoware::universe_utils::calcDistance2d(p1, p2);
     dist_sum += dist;
 
     // use average velocity between p1 and p2
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp
similarity index 96%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp
index c43f8617897b9..24e9a3b4a1793 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_occlusion.cpp
@@ -15,8 +15,8 @@
 #include "scene_intersection.hpp"
 #include "util.hpp"
 
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
 #include <opencv2/imgproc.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>  // for toPolygon2d
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersection.hpp>
@@ -151,7 +151,7 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
 
   auto findCommonCvPolygons =
     [&](const auto & area2d, std::vector<std::vector<cv::Point>> & cv_polygons) -> void {
-    tier4_autoware_utils::Polygon2d area2d_poly;
+    autoware::universe_utils::Polygon2d area2d_poly;
     for (const auto & p : area2d) {
       area2d_poly.outer().emplace_back(p.x(), p.y());
     }
@@ -240,7 +240,7 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
   std::vector<std::vector<cv::Point>> blocking_polygons;
   for (const auto & blocking_attention_object_info : blocking_attention_objects) {
     const Polygon2d obj_poly =
-      tier4_autoware_utils::toPolygon2d(blocking_attention_object_info->predicted_object());
+      autoware::universe_utils::toPolygon2d(blocking_attention_object_info->predicted_object());
     findCommonCvPolygons(obj_poly.outer(), blocking_polygons);
   }
   for (const auto & blocking_polygon : blocking_polygons) {
@@ -321,7 +321,8 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
     for (auto i = lane_start_idx + 1; i <= lane_end_idx; i++) {
       const auto path_linestring_point = path_ip.points.at(i).point.pose.position;
       if (
-        tier4_autoware_utils::calcDistance2d(prev_path_linestring_point, path_linestring_point) <
+        autoware::universe_utils::calcDistance2d(
+          prev_path_linestring_point, path_linestring_point) <
         1.0 /* rough tick for computational cost */) {
         continue;
       }
@@ -405,9 +406,9 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
             division_index,
             std::distance(division.begin(), point_it),
             acc_dist,
-            tier4_autoware_utils::createPoint(point_it->x(), point_it->y(), origin.z),
-            tier4_autoware_utils::createPoint(projection_it->x(), projection_it->y(), origin.z),
-            tier4_autoware_utils::createPoint(
+            autoware::universe_utils::createPoint(point_it->x(), point_it->y(), origin.z),
+            autoware::universe_utils::createPoint(projection_it->x(), projection_it->y(), origin.z),
+            autoware::universe_utils::createPoint(
               projection_it->x(), projection_it->y(),
               origin.z) /* initialize with projection point at first*/};
           found_min_dist_for_this_division = true;
@@ -416,7 +417,7 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
           // division previously in this iteration, and the iterated cells are still OCCLUDED since
           // then
           nearest_occlusion_point.visible_end =
-            tier4_autoware_utils::createPoint(point_it->x(), point_it->y(), origin.z);
+            autoware::universe_utils::createPoint(point_it->x(), point_it->y(), origin.z);
         }
       }
       is_prev_occluded = (pixel == OCCLUDED);
@@ -440,7 +441,7 @@ IntersectionModule::OcclusionType IntersectionModule::detectOcclusion(
   bg::correct(ego_occlusion_triangle);
   for (const auto & attention_object_info : object_info_manager_.allObjects()) {
     const auto obj_poly =
-      tier4_autoware_utils::toPolygon2d(attention_object_info->predicted_object());
+      autoware::universe_utils::toPolygon2d(attention_object_info->predicted_object());
     if (bg::intersects(obj_poly, ego_occlusion_triangle)) {
       debug_data_.static_occlusion = false;
       return DynamicallyOccluded{min_dist};
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp
index 223e8eca84fe8..1390104d98175 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_prepare_data.cpp
@@ -15,13 +15,13 @@
 #include "scene_intersection.hpp"
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for to_bg2d
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>  // for planning_utils::
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for to_bg2d
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>  // for planning_utils::
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <interpolation/spline_interpolation_points_2d.hpp>
 #include <lanelet2_extension/regulatory_elements/road_marking.hpp>  // for lanelet::autoware::RoadMarking
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <boost/geometry/algorithms/intersection.hpp>
 #include <boost/geometry/algorithms/within.hpp>
@@ -31,7 +31,7 @@
 #include <lanelet2_core/geometry/Polygon.h>
 #include <lanelet2_core/primitives/Point.h>
 
-namespace tier4_autoware_utils
+namespace autoware::universe_utils
 {
 
 template <>
@@ -44,7 +44,7 @@ inline geometry_msgs::msg::Point getPoint(const lanelet::ConstPoint3d & p)
   return point;
 }
 
-}  // namespace tier4_autoware_utils
+}  // namespace autoware::universe_utils
 
 namespace
 {
@@ -74,7 +74,7 @@ lanelet::ConstLanelet generatePathLanelet(
   for (size_t i = start_idx; i <= end_idx; ++i) {
     const auto & p = path.points.at(i).point.pose;
     const auto & p_prev = path.points.at(prev_idx).point.pose;
-    if (i != start_idx && tier4_autoware_utils::calcDistance2d(p_prev, p) < interval) {
+    if (i != start_idx && autoware::universe_utils::calcDistance2d(p_prev, p) < interval) {
       continue;
     }
     prev_idx = i;
@@ -198,7 +198,7 @@ Result<IntersectionModule::BasicData, InternalError> IntersectionModule::prepare
 
   const auto & path_ip = interpolated_path_info.path;
   const auto & path_ip_intersection_end = interpolated_path_info.lane_id_interval.value().second;
-  internal_debug_data_.distance = motion_utils::calcSignedArcLength(
+  internal_debug_data_.distance = autoware::motion_utils::calcSignedArcLength(
     path->points, current_pose.position,
     path_ip.points.at(path_ip_intersection_end).point.pose.position);
 
@@ -275,9 +275,9 @@ Result<IntersectionModule::BasicData, InternalError> IntersectionModule::prepare
     if (is_green_solid_on && !initial_green_light_observed_time_) {
       const auto assigned_lane_begin_point = assigned_lanelet.centerline().front();
       const bool approached_assigned_lane =
-        motion_utils::calcSignedArcLength(
+        autoware::motion_utils::calcSignedArcLength(
           path->points, closest_idx,
-          tier4_autoware_utils::createPoint(
+          autoware::universe_utils::createPoint(
             assigned_lane_begin_point.x(), assigned_lane_begin_point.y(),
             assigned_lane_begin_point.z())) <
         planner_param_.collision_detection.yield_on_green_traffic_light
@@ -338,7 +338,7 @@ std::optional<size_t> IntersectionModule::getStopLineIndexFromMap(
   stop_point_from_map.position.y = 0.5 * (p_start.y() + p_end.y());
   stop_point_from_map.position.z = 0.5 * (p_start.z() + p_end.z());
 
-  return motion_utils::findFirstNearestIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     path.points, stop_point_from_map, planner_data_->ego_nearest_dist_threshold,
     planner_data_->ego_nearest_yaw_threshold);
 }
@@ -381,8 +381,8 @@ std::optional<IntersectionStopLines> IntersectionModule::generateIntersectionSto
   std::optional<size_t> first_footprint_attention_centerline_ip_opt = std::nullopt;
   for (auto i = std::get<0>(lane_interval_ip); i < std::get<1>(lane_interval_ip); ++i) {
     const auto & base_pose = path_ip.points.at(i).point.pose;
-    const auto path_footprint = tier4_autoware_utils::transformVector(
-      local_footprint, tier4_autoware_utils::pose2transform(base_pose));
+    const auto path_footprint = autoware::universe_utils::transformVector(
+      local_footprint, autoware::universe_utils::pose2transform(base_pose));
     if (bg::intersects(path_footprint, first_attention_lane_centerline.basicLineString())) {
       // NOTE: maybe consideration of braking dist is necessary
       first_footprint_attention_centerline_ip_opt = i;
@@ -413,7 +413,7 @@ std::optional<IntersectionStopLines> IntersectionModule::generateIntersectionSto
 
   // (2) ego front stop line position on interpolated path
   const geometry_msgs::msg::Pose & current_pose = planner_data_->current_odometry->pose;
-  const auto closest_idx_ip = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const auto closest_idx_ip = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     path_ip.points, current_pose, planner_data_->ego_nearest_dist_threshold,
     planner_data_->ego_nearest_yaw_threshold);
 
@@ -423,8 +423,8 @@ std::optional<IntersectionStopLines> IntersectionModule::generateIntersectionSto
   // NOTE: if footprints[0] is already inside the attention area, invalid
   {
     const auto & base_pose0 = path_ip.points.at(default_stopline_ip).point.pose;
-    const auto path_footprint0 = tier4_autoware_utils::transformVector(
-      local_footprint, tier4_autoware_utils::pose2transform(base_pose0));
+    const auto path_footprint0 = autoware::universe_utils::transformVector(
+      local_footprint, autoware::universe_utils::pose2transform(base_pose0));
     if (bg::intersects(
           path_footprint0, lanelet::utils::to2D(first_attention_area).basicPolygon())) {
       occlusion_peeking_line_valid = false;
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp
index eecb02d07c386..14baf6faa581a 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_intersection_stuck.cpp
@@ -15,9 +15,9 @@
 #include "scene_intersection.hpp"
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>  // for toGeomPoly
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersection.hpp>
@@ -124,7 +124,7 @@ std::optional<StuckStop> IntersectionModule::isStuckStatus(
 {
   const auto closest_idx = intersection_stoplines.closest_idx;
   auto fromEgoDist = [&](const size_t index) {
-    return motion_utils::calcSignedArcLength(path.points, closest_idx, index);
+    return autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, index);
   };
 
   const auto & intersection_lanelets = intersection_lanelets_.value();  // this is OK
@@ -290,7 +290,7 @@ bool IntersectionModule::checkStuckVehicleInIntersection(const PathLanelets & pa
     }
 
     // check if the footprint is in the stuck detect area
-    const auto obj_footprint = tier4_autoware_utils::toPolygon2d(object);
+    const auto obj_footprint = autoware::universe_utils::toPolygon2d(object);
     // NOTE: in order not to stop too much
     const bool is_in_stuck_area = bg::within(
       to_bg2d(object.kinematics.initial_pose_with_covariance.pose.position),
@@ -310,7 +310,7 @@ std::optional<YieldStuckStop> IntersectionModule::isYieldStuckStatus(
 {
   const auto closest_idx = intersection_stoplines.closest_idx;
   auto fromEgoDist = [&](const size_t index) {
-    return motion_utils::calcSignedArcLength(path.points, closest_idx, index);
+    return autoware::motion_utils::calcSignedArcLength(path.points, closest_idx, index);
   };
   const auto & intersection_lanelets = intersection_lanelets_.value();
   const auto default_stopline_idx = intersection_stoplines.default_stopline.value();
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp
index 1aaed779e1b79..ddfd3b7d4cacd 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.cpp
@@ -16,11 +16,11 @@
 
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/regulatory_elements/road_marking.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <lanelet2_core/geometry/Polygon.h>
 #include <lanelet2_core/primitives/BasicRegulatoryElements.h>
@@ -53,7 +53,7 @@ MergeFromPrivateRoadModule::MergeFromPrivateRoadModule(
 static std::optional<lanelet::ConstLanelet> getFirstConflictingLanelet(
   const lanelet::ConstLanelets & conflicting_lanelets,
   const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length)
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length)
 {
   const auto & path_ip = interpolated_path_info.path;
   const auto [lane_start, end] = interpolated_path_info.lane_id_interval.value();
@@ -63,8 +63,8 @@ static std::optional<lanelet::ConstLanelet> getFirstConflictingLanelet(
 
   for (size_t i = start; i <= end; ++i) {
     const auto & pose = path_ip.points.at(i).point.pose;
-    const auto path_footprint =
-      tier4_autoware_utils::transformVector(footprint, tier4_autoware_utils::pose2transform(pose));
+    const auto path_footprint = autoware::universe_utils::transformVector(
+      footprint, autoware::universe_utils::pose2transform(pose));
     for (const auto & conflicting_lanelet : conflicting_lanelets) {
       const auto polygon_2d = conflicting_lanelet.polygon2d().basicPolygon();
       const bool intersects = bg::intersects(polygon_2d, path_footprint);
@@ -159,7 +159,7 @@ bool MergeFromPrivateRoadModule::modifyPathVelocity(PathWithLaneId * path, StopR
     velocity_factor_.set(
       path->points, planner_data_->current_odometry->pose, stop_pose, VelocityFactor::UNKNOWN);
 
-    const double signed_arc_dist_to_stop_point = motion_utils::calcSignedArcLength(
+    const double signed_arc_dist_to_stop_point = autoware::motion_utils::calcSignedArcLength(
       path->points, current_pose.position, path->points.at(stopline_idx).point.pose.position);
 
     if (
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp
similarity index 93%
rename from planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp
index 19e9ea44869ea..a69297adea881 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/scene_merge_from_private_road.hpp
@@ -15,8 +15,8 @@
 #ifndef SCENE_MERGE_FROM_PRIVATE_ROAD_HPP_
 #define SCENE_MERGE_FROM_PRIVATE_ROAD_HPP_
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/state_machine.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/state_machine.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -70,7 +70,7 @@ class MergeFromPrivateRoadModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
   const std::set<lanelet::Id> & getAssociativeIds() const { return associative_ids_; }
   lanelet::ConstLanelets getAttentionLanelets() const;
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.cpp
similarity index 93%
rename from planning/autoware_behavior_velocity_intersection_module/src/util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.cpp
index 09f16bcada3c1..893ec646dba73 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.cpp
@@ -16,11 +16,11 @@
 
 #include "interpolated_path_info.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersects.hpp>
@@ -51,7 +51,7 @@ static std::optional<size_t> getDuplicatedPointIdx(
     const auto & p = path.points.at(i).point.pose.position;
 
     constexpr double min_dist = 0.001;
-    if (tier4_autoware_utils::calcDistance2d(p, point) < min_dist) {
+    if (autoware::universe_utils::calcDistance2d(p, point) < min_dist) {
       return i;
     }
   }
@@ -68,7 +68,7 @@ std::optional<size_t> insertPointIndex(
     return duplicate_idx_opt.value();
   }
 
-  const size_t closest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
+  const size_t closest_idx = autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     inout_path->points, in_pose, ego_nearest_dist_threshold, ego_nearest_yaw_threshold);
   // vector.insert(i) inserts element on the left side of v[i]
   // the velocity need to be zero order hold(from prior point)
@@ -130,7 +130,7 @@ std::optional<std::pair<size_t, size_t>> findLaneIdsInterval(
 
 std::optional<size_t> getFirstPointInsidePolygonByFootprint(
   const lanelet::CompoundPolygon3d & polygon, const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length)
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length)
 {
   const auto & path_ip = interpolated_path_info.path;
   const auto [lane_start, lane_end] = interpolated_path_info.lane_id_interval.value();
@@ -140,8 +140,8 @@ std::optional<size_t> getFirstPointInsidePolygonByFootprint(
   const auto area_2d = lanelet::utils::to2D(polygon).basicPolygon();
   for (auto i = start; i <= lane_end; ++i) {
     const auto & base_pose = path_ip.points.at(i).point.pose;
-    const auto path_footprint = tier4_autoware_utils::transformVector(
-      footprint, tier4_autoware_utils::pose2transform(base_pose));
+    const auto path_footprint = autoware::universe_utils::transformVector(
+      footprint, autoware::universe_utils::pose2transform(base_pose));
     if (bg::intersects(path_footprint, area_2d)) {
       return std::make_optional<size_t>(i);
     }
@@ -154,7 +154,7 @@ std::optional<std::pair<
 getFirstPointInsidePolygonsByFootprint(
   const std::vector<lanelet::CompoundPolygon3d> & polygons,
   const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length)
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length)
 {
   const auto & path_ip = interpolated_path_info.path;
   const auto [lane_start, lane_end] = interpolated_path_info.lane_id_interval.value();
@@ -164,8 +164,8 @@ getFirstPointInsidePolygonsByFootprint(
 
   for (size_t i = start; i <= lane_end; ++i) {
     const auto & pose = path_ip.points.at(i).point.pose;
-    const auto path_footprint =
-      tier4_autoware_utils::transformVector(footprint, tier4_autoware_utils::pose2transform(pose));
+    const auto path_footprint = autoware::universe_utils::transformVector(
+      footprint, autoware::universe_utils::pose2transform(pose));
     for (size_t j = 0; j < polygons.size(); ++j) {
       const auto area_2d = lanelet::utils::to2D(polygons.at(j)).basicPolygon();
       const bool is_in_polygon = bg::intersects(area_2d, path_footprint);
@@ -332,7 +332,7 @@ bool isBeforeTargetIndex(
   return static_cast<bool>(target_idx > closest_idx);
 }
 
-std::optional<tier4_autoware_utils::Polygon2d> getIntersectionArea(
+std::optional<autoware::universe_utils::Polygon2d> getIntersectionArea(
   lanelet::ConstLanelet assigned_lane, lanelet::LaneletMapConstPtr lanelet_map_ptr)
 {
   const std::string area_id_str = assigned_lane.attributeOr("intersection_area", "else");
diff --git a/planning/autoware_behavior_velocity_intersection_module/src/util.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.hpp
similarity index 94%
rename from planning/autoware_behavior_velocity_intersection_module/src/util.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.hpp
index ef826380afa69..f89d6b0ea67ae 100644
--- a/planning/autoware_behavior_velocity_intersection_module/src/util.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_intersection_module/src/util.hpp
@@ -17,8 +17,8 @@
 
 #include "interpolated_path_info.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <rclcpp/logger.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object_kinematics.hpp>
 
@@ -87,7 +87,7 @@ bool isBeforeTargetIndex(
   const tier4_planning_msgs::msg::PathWithLaneId & path, const size_t closest_idx,
   const geometry_msgs::msg::Pose & current_pose, const size_t target_idx);
 
-std::optional<tier4_autoware_utils::Polygon2d> getIntersectionArea(
+std::optional<autoware::universe_utils::Polygon2d> getIntersectionArea(
   lanelet::ConstLanelet assigned_lane, lanelet::LaneletMapConstPtr lanelet_map_ptr);
 
 /**
@@ -125,7 +125,7 @@ mergeLaneletsByTopologicalSort(
  */
 std::optional<size_t> getFirstPointInsidePolygonByFootprint(
   const lanelet::CompoundPolygon3d & polygon, const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length);
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length);
 
 /**
  * @brief find the index of the first point where vehicle footprint intersects with the given
@@ -136,7 +136,7 @@ std::optional<std::pair<
 getFirstPointInsidePolygonsByFootprint(
   const std::vector<lanelet::CompoundPolygon3d> & polygons,
   const InterpolatedPathInfo & interpolated_path_info,
-  const tier4_autoware_utils::LinearRing2d & footprint, const double vehicle_length);
+  const autoware::universe_utils::LinearRing2d & footprint, const double vehicle_length);
 
 std::vector<lanelet::CompoundPolygon3d> getPolygon3dFromLanelets(
   const lanelet::ConstLanelets & ll_vec);
diff --git a/planning/behavior_velocity_no_drivable_lane_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/CMakeLists.txt
similarity index 85%
rename from planning/behavior_velocity_no_drivable_lane_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/CMakeLists.txt
index 265b5b637e7ce..cee9e8ca039c9 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/CMakeLists.txt
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.14)
-project(behavior_velocity_no_drivable_lane_module)
+project(autoware_behavior_velocity_no_drivable_lane_module)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
diff --git a/planning/behavior_velocity_no_drivable_lane_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/README.md
similarity index 100%
rename from planning/behavior_velocity_no_drivable_lane_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/README.md
diff --git a/planning/behavior_velocity_no_drivable_lane_module/config/no_drivable_lane.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/config/no_drivable_lane.param.yaml
similarity index 100%
rename from planning/behavior_velocity_no_drivable_lane_module/config/no_drivable_lane.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/config/no_drivable_lane.param.yaml
diff --git a/planning/behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_design.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_design.svg
similarity index 100%
rename from planning/behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_design.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_design.svg
diff --git a/planning/behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_scenarios.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_scenarios.svg
similarity index 100%
rename from planning/behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_scenarios.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/docs/no_drivable_lane_scenarios.svg
diff --git a/planning/behavior_velocity_no_drivable_lane_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/package.xml
similarity index 86%
rename from planning/behavior_velocity_no_drivable_lane_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/package.xml
index f728167f09f23..81e3e54539bb3 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/package.xml
@@ -1,9 +1,9 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>behavior_velocity_no_drivable_lane_module</name>
+  <name>autoware_behavior_velocity_no_drivable_lane_module</name>
   <version>0.1.0</version>
-  <description>The behavior_velocity_no_drivable_lane_module package</description>
+  <description>The autoware_behavior_velocity_no_drivable_lane_module package</description>
 
   <maintainer email="ahmed.ebrahim@leodrive.ai">Ahmed Ebrahim</maintainer>
   <maintainer email="tomoya.kimura@tier4.jp">Tomoya Kimura</maintainer>
@@ -20,18 +20,18 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>sensor_msgs</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/behavior_velocity_no_drivable_lane_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/plugins.xml
similarity index 70%
rename from planning/behavior_velocity_no_drivable_lane_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/plugins.xml
index e3e9efb254fba..26635e8e24bc1 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/plugins.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/plugins.xml
@@ -1,3 +1,3 @@
-<library path="behavior_velocity_no_drivable_lane_module">
+<library path="autoware_behavior_velocity_no_drivable_lane_module">
   <class type="autoware::behavior_velocity_planner::NoDrivableLaneModulePlugin" base_class_type="autoware::behavior_velocity_planner::PluginInterface"/>
 </library>
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/debug.cpp
similarity index 80%
rename from planning/behavior_velocity_no_drivable_lane_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/debug.cpp
index 0908fe712dbf5..c0c04a0949ce8 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/debug.cpp
@@ -14,20 +14,20 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <vector>
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 namespace
@@ -71,18 +71,18 @@ visualization_msgs::msg::MarkerArray createNoDrivableLaneMarkers(
 }
 }  // namespace
 
-motion_utils::VirtualWalls NoDrivableLaneModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls NoDrivableLaneModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWalls virtual_walls;
 
   const auto now = this->clock_->now();
 
   if (
     (state_ == State::APPROACHING) || (state_ == State::INSIDE_NO_DRIVABLE_LANE) ||
     (state_ == State::STOPPED)) {
-    motion_utils::VirtualWall wall;
+    autoware::motion_utils::VirtualWall wall;
     wall.text = "no_drivable_lane";
-    wall.style = motion_utils::VirtualWallType::stop;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.ns = std::to_string(module_id_) + "_";
     wall.pose = debug_data_.stop_pose;
     virtual_walls.push_back(wall);
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.cpp
similarity index 93%
rename from planning/behavior_velocity_no_drivable_lane_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.cpp
index 8c3fc5ef0f3ce..9c6f2f50925c6 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.cpp
@@ -14,14 +14,14 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <string>
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::getOrDeclareParameter;
+using autoware::universe_utils::getOrDeclareParameter;
 
 NoDrivableLaneModuleManager::NoDrivableLaneModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.hpp
similarity index 89%
rename from planning/behavior_velocity_no_drivable_lane_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.hpp
index 4afa498a5679b..545af1576c6a8 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.cpp
similarity index 87%
rename from planning/behavior_velocity_no_drivable_lane_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.cpp
index ddc5d08d60cb8..42d896fec8ab3 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.cpp
@@ -14,16 +14,16 @@
 
 #include "scene.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::createPoint;
+using autoware::universe_utils::createPoint;
 
 NoDrivableLaneModule::NoDrivableLaneModule(
   const int64_t module_id, const int64_t lane_id, const PlannerParam & planner_param,
@@ -58,7 +58,7 @@ bool NoDrivableLaneModule::modifyPathVelocity(PathWithLaneId * path, StopReason
   if (path_no_drivable_lane_polygon_intersection.first_intersection_point) {
     first_intersection_point =
       path_no_drivable_lane_polygon_intersection.first_intersection_point.value();
-    distance_ego_first_intersection = motion_utils::calcSignedArcLength(
+    distance_ego_first_intersection = autoware::motion_utils::calcSignedArcLength(
       path->points, planner_data_->current_odometry->pose.position, first_intersection_point);
     distance_ego_first_intersection -= planner_data_->vehicle_info_.max_longitudinal_offset_m;
   }
@@ -135,7 +135,7 @@ void NoDrivableLaneModule::handle_approaching_state(PathWithLaneId * path, StopR
   const double longitudinal_offset =
     -1.0 * (planner_param_.stop_margin + planner_data_->vehicle_info_.max_longitudinal_offset_m);
 
-  const auto op_target_point = motion_utils::calcLongitudinalOffsetPoint(
+  const auto op_target_point = autoware::motion_utils::calcLongitudinalOffsetPoint(
     path->points, first_intersection_point, longitudinal_offset);
 
   geometry_msgs::msg::Point target_point;
@@ -144,17 +144,18 @@ void NoDrivableLaneModule::handle_approaching_state(PathWithLaneId * path, StopR
     target_point = op_target_point.value();
   }
 
-  const auto target_segment_idx = motion_utils::findNearestSegmentIndex(path->points, target_point);
+  const auto target_segment_idx =
+    autoware::motion_utils::findNearestSegmentIndex(path->points, target_point);
 
   const auto & op_target_point_idx =
-    motion_utils::insertTargetPoint(target_segment_idx, target_point, path->points, 5e-2);
+    autoware::motion_utils::insertTargetPoint(target_segment_idx, target_point, path->points, 5e-2);
   size_t target_point_idx;
   if (op_target_point_idx) {
     target_point_idx = op_target_point_idx.value();
   }
 
   geometry_msgs::msg::Point stop_point =
-    tier4_autoware_utils::getPoint(path->points.at(target_point_idx).point);
+    autoware::universe_utils::getPoint(path->points.at(target_point_idx).point);
 
   const auto & op_stop_pose =
     planning_utils::insertStopPoint(stop_point, target_segment_idx, *path);
@@ -169,7 +170,7 @@ void NoDrivableLaneModule::handle_approaching_state(PathWithLaneId * path, StopR
     velocity_factor_.set(
       path->points, planner_data_->current_odometry->pose, stop_pose, VelocityFactor::APPROACHING);
 
-    const auto virtual_wall_pose = motion_utils::calcLongitudinalOffsetPose(
+    const auto virtual_wall_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
       path->points, stop_pose.position, debug_data_.base_link2front);
 
     debug_data_.stop_pose = virtual_wall_pose.value();
@@ -177,9 +178,9 @@ void NoDrivableLaneModule::handle_approaching_state(PathWithLaneId * path, StopR
 
   const size_t current_seg_idx = findEgoSegmentIndex(path->points);
   const auto intersection_segment_idx =
-    motion_utils::findNearestSegmentIndex(path->points, first_intersection_point);
+    autoware::motion_utils::findNearestSegmentIndex(path->points, first_intersection_point);
   const double signed_arc_dist_to_intersection_point =
-    motion_utils::calcSignedArcLength(
+    autoware::motion_utils::calcSignedArcLength(
       path->points, planner_data_->current_odometry->pose.position, current_seg_idx,
       first_intersection_point, intersection_segment_idx) -
     planner_data_->vehicle_info_.max_longitudinal_offset_m;
@@ -215,14 +216,14 @@ void NoDrivableLaneModule::handle_inside_no_drivable_lane_state(
   // Get stop point and stop factor
   {
     tier4_planning_msgs::msg::StopFactor stop_factor;
-    const auto & stop_pose = tier4_autoware_utils::getPose(path->points.at(0));
+    const auto & stop_pose = autoware::universe_utils::getPose(path->points.at(0));
     stop_factor.stop_pose = stop_pose;
     stop_factor.stop_factor_points.push_back(current_point);
     planning_utils::appendStopReason(stop_factor, stop_reason);
     velocity_factor_.set(
       path->points, planner_data_->current_odometry->pose, stop_pose, VelocityFactor::APPROACHING);
 
-    const auto & virtual_wall_pose = motion_utils::calcLongitudinalOffsetPose(
+    const auto & virtual_wall_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
       path->points, stop_pose.position, debug_data_.base_link2front);
 
     debug_data_.stop_pose = virtual_wall_pose.value();
@@ -239,7 +240,7 @@ void NoDrivableLaneModule::handle_inside_no_drivable_lane_state(
 
 void NoDrivableLaneModule::handle_stopped_state(PathWithLaneId * path, StopReason * stop_reason)
 {
-  const auto & stopped_pose = motion_utils::calcLongitudinalOffsetPose(
+  const auto & stopped_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
     path->points, planner_data_->current_odometry->pose.position, 0.0);
 
   if (!stopped_pose) {
@@ -264,7 +265,7 @@ void NoDrivableLaneModule::handle_stopped_state(PathWithLaneId * path, StopReaso
     velocity_factor_.set(
       path->points, planner_data_->current_odometry->pose, stop_pose, VelocityFactor::STOPPED);
 
-    const auto virtual_wall_pose = motion_utils::calcLongitudinalOffsetPose(
+    const auto virtual_wall_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
       path->points, stop_pose.position, debug_data_.base_link2front);
 
     debug_data_.stop_pose = virtual_wall_pose.value();
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.hpp
similarity index 95%
rename from planning/behavior_velocity_no_drivable_lane_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.hpp
index 6910e972a8685..1e8e93834f89e 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/scene.hpp
@@ -17,7 +17,7 @@
 
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <memory>
@@ -60,7 +60,7 @@ class NoDrivableLaneModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   const int64_t lane_id_;
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/util.cpp
similarity index 91%
rename from planning/behavior_velocity_no_drivable_lane_module/src/util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/util.cpp
index c9a6ce1ac1510..1339fee207416 100644
--- a/planning/behavior_velocity_no_drivable_lane_module/src/util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/util.cpp
@@ -14,11 +14,11 @@
 
 #include "util.hpp"
 
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
 
 #include <lanelet2_core/geometry/Polygon.h>
 
@@ -32,8 +32,8 @@ using Point = bg::model::d2::point_xy<double>;
 using Polygon = bg::model::polygon<Point>;
 using Line = bg::model::linestring<Point>;
 
-using motion_utils::calcSignedArcLength;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::universe_utils::createPoint;
 
 PathWithNoDrivableLanePolygonIntersection getPathIntersectionWithNoDrivableLanePolygon(
   const PathWithLaneId & ego_path, const lanelet::BasicPolygon2d & polygon,
diff --git a/planning/behavior_velocity_no_drivable_lane_module/src/util.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/util.hpp
similarity index 100%
rename from planning/behavior_velocity_no_drivable_lane_module/src/util.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_drivable_lane_module/src/util.hpp
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/README.md
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/config/no_stopping_area.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/config/no_stopping_area.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/config/no_stopping_area.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/config/no_stopping_area.param.yaml
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/docs/no-stopping-area.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/docs/no-stopping-area.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/docs/no-stopping-area.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/docs/no-stopping-area.svg
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/package.xml
index 1a2d435fb6a4a..eab1a13d7ebf1 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/package.xml
@@ -18,22 +18,22 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp
similarity index 86%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp
index e90273d4ac5e4..09f1908b107d5 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/debug.cpp
@@ -14,11 +14,11 @@
 
 #include "scene_no_stopping_area.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
 #else
@@ -34,10 +34,10 @@ namespace
 {
 const double marker_lifetime = 0.2;
 using DebugData = NoStoppingAreaModule::DebugData;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 
 lanelet::BasicPoint3d getCentroidPoint(const lanelet::BasicPolygon3d & poly)
 {
@@ -162,15 +162,15 @@ visualization_msgs::msg::MarkerArray NoStoppingAreaModule::createDebugMarkerArra
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls NoStoppingAreaModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls NoStoppingAreaModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.ns = std::to_string(module_id_) + "_";
   wall.text = "no_stopping_area";
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : debug_data_.stop_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
   return virtual_walls;
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp
index 31682fe0419d2..4ee711297b494 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.cpp
@@ -14,9 +14,9 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <tf2/utils.h>
 
@@ -30,8 +30,8 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::NoStoppingArea;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 NoStoppingAreaModuleManager::NoStoppingAreaModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterfaceWithRTC(
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp
index 696115d4bda6d..1abd36d585d51 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene_no_stopping_area.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp
index a89161de431ae..d007416dccb47 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.cpp
@@ -14,13 +14,13 @@
 
 #include "scene_no_stopping_area.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <interpolation/spline_interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <lanelet2_core/geometry/Polygon.h>
 #include <lanelet2_core/utility/Optional.h>
@@ -87,7 +87,7 @@ boost::optional<LineString2d> NoStoppingAreaModule::getStopLineGeometry2d(
         std::vector<Point2d> collision_points;
         bg::intersection(area_poly, line, collision_points);
         if (!collision_points.empty()) {
-          const double yaw = tier4_autoware_utils::calcAzimuthAngle(p0, p1);
+          const double yaw = autoware::universe_utils::calcAzimuthAngle(p0, p1);
           const double w = planner_data_->vehicle_info_.vehicle_width_m;
           const double l = stop_line_margin;
           stop_line.emplace_back(
@@ -132,7 +132,7 @@ bool NoStoppingAreaModule::modifyPathVelocity(PathWithLaneId * path, StopReason
     return true;
   }
   const auto & stop_pose = stop_point->second;
-  setDistance(motion_utils::calcSignedArcLength(
+  setDistance(autoware::motion_utils::calcSignedArcLength(
     original_path.points, current_pose->pose.position, stop_pose.position));
   if (planning_utils::isOverLine(
         original_path, current_pose->pose, stop_pose, planner_param_.dead_line_margin)) {
@@ -229,7 +229,7 @@ bool NoStoppingAreaModule::checkStuckVehiclesInNoStoppingArea(
       continue;  // not stop vehicle
     }
     // check if the footprint is in the stuck detect area
-    const Polygon2d obj_footprint = tier4_autoware_utils::toPolygon2d(object);
+    const Polygon2d obj_footprint = autoware::universe_utils::toPolygon2d(object);
     const bool is_in_stuck_area = !bg::disjoint(obj_footprint, poly);
     if (is_in_stuck_area) {
       RCLCPP_DEBUG(logger_, "stuck vehicle found.");
@@ -251,6 +251,10 @@ bool NoStoppingAreaModule::checkStopLinesInNoStoppingArea(
   const tier4_planning_msgs::msg::PathWithLaneId & path, const Polygon2d & poly)
 {
   const double stop_vel = std::numeric_limits<float>::min();
+
+  // if the detected stop point is near goal, it's ignored.
+  static constexpr double close_to_goal_distance = 1.0;
+
   // stuck points by stop line
   for (size_t i = 0; i < path.points.size() - 1; ++i) {
     const auto p0 = path.points.at(i).point.pose.position;
@@ -260,6 +264,14 @@ bool NoStoppingAreaModule::checkStopLinesInNoStoppingArea(
     if (v0 > stop_vel && v1 > stop_vel) {
       continue;
     }
+    // judge if stop point p0 is near goal, by its distance to the path end.
+    const double dist_to_path_end =
+      autoware::motion_utils::calcSignedArcLength(path.points, i, path.points.size() - 1);
+    if (dist_to_path_end < close_to_goal_distance) {
+      // exit with false, cause position is near goal.
+      return false;
+    }
+
     const LineString2d line{{p0.x, p0.y}, {p1.x, p1.y}};
     std::vector<Point2d> collision_points;
     bg::intersection(poly, line, collision_points);
@@ -290,10 +302,10 @@ Polygon2d NoStoppingAreaModule::generateEgoNoStoppingAreaLanePolygon(
   auto & pp = interpolated_path.points;
   /* calc closest index */
   const auto closest_idx_opt =
-    motion_utils::findNearestIndex(interpolated_path.points, ego_pose, 3.0, M_PI_4);
+    autoware::motion_utils::findNearestIndex(interpolated_path.points, ego_pose, 3.0, M_PI_4);
   if (!closest_idx_opt) {
     RCLCPP_WARN_SKIPFIRST_THROTTLE(
-      logger_, *clock_, 1000 /* ms */, "motion_utils::findNearestIndex fail");
+      logger_, *clock_, 1000 /* ms */, "autoware::motion_utils::findNearestIndex fail");
     return ego_area;
   }
   const size_t closest_idx = closest_idx_opt.value();
@@ -306,7 +318,7 @@ Polygon2d NoStoppingAreaModule::generateEgoNoStoppingAreaLanePolygon(
   }
   const auto no_stopping_area = no_stopping_area_reg_elem_.noStoppingAreas().front();
   for (size_t i = closest_idx + num_ignore_nearest; i < pp.size() - 1; ++i) {
-    dist_from_start_sum += tier4_autoware_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
+    dist_from_start_sum += autoware::universe_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
     const auto & p = pp.at(i).point.pose.position;
     if (bg::within(Point2d{p.x, p.y}, lanelet::utils::to2D(no_stopping_area).basicPolygon())) {
       is_in_area = true;
@@ -317,7 +329,9 @@ Polygon2d NoStoppingAreaModule::generateEgoNoStoppingAreaLanePolygon(
     }
     ++ego_area_start_idx;
   }
-
+  if (ego_area_start_idx > num_ignore_nearest) {
+    ego_area_start_idx--;
+  }
   if (!is_in_area) {
     return ego_area;
   }
@@ -325,15 +339,10 @@ Polygon2d NoStoppingAreaModule::generateEgoNoStoppingAreaLanePolygon(
   // decide end idx with extract distance
   size_t ego_area_end_idx = ego_area_start_idx;
   for (size_t i = ego_area_start_idx; i < pp.size() - 1; ++i) {
-    dist_from_start_sum += tier4_autoware_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
+    dist_from_start_sum += autoware::universe_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
     const auto & p = pp.at(i).point.pose.position;
     if (!bg::within(Point2d{p.x, p.y}, lanelet::utils::to2D(no_stopping_area).basicPolygon())) {
-      dist_from_area_sum += tier4_autoware_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
-
-      // do not take extra distance and exit as soon as p is outside no stopping area
-      // just a temporary fix
-      ego_area_end_idx = i - 1;
-      break;
+      dist_from_area_sum += autoware::universe_utils::calcDistance2d(pp.at(i), pp.at(i - 1));
     }
     if (dist_from_start_sum > extra_dist || dist_from_area_sum > margin) {
       break;
diff --git a/planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp
similarity index 96%
rename from planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp
index e7e66775f368e..ae297d96c5afd 100644
--- a/planning/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_no_stopping_area_module/src/scene_no_stopping_area.hpp
@@ -18,9 +18,9 @@
 #define EIGEN_MPL2_ONLY
 
 #include <Eigen/Core>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/state_machine.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/state_machine.hpp>
 #include <lanelet2_extension/regulatory_elements/no_stopping_area.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -86,7 +86,7 @@ class NoStoppingAreaModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   const int64_t lane_id_;
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/README.md
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/config/occlusion_spot.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/config/occlusion_spot.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/config/occlusion_spot.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/config/occlusion_spot.param.yaml
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/behavior_after_safe_margin.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/behavior_after_safe_margin.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/behavior_after_safe_margin.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/behavior_after_safe_margin.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/collision_free.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/collision_free.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/collision_free.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/collision_free.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/da.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/da.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/da.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/da.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/maximum_slowdown_velocity.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/maximum_slowdown_velocity.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/maximum_slowdown_velocity.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/maximum_slowdown_velocity.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/object_info_partition.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/object_info_partition.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/object_info_partition.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/object_info_partition.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/occlusion_spot.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/raycast_shadow.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/raycast_shadow.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/raycast_shadow.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/raycast_shadow.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/safe_motion.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/safe_motion.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/safe_motion.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/safe_motion.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/docs/velocity_planning.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/velocity_planning.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/docs/velocity_planning.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/docs/velocity_planning.drawio.svg
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/package.xml
similarity index 92%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/package.xml
index e229a69032c27..34fd712d2229c 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/package.xml
@@ -17,24 +17,24 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_grid_map_utils</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>grid_map_ros</depend>
-  <depend>grid_map_utils</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
   <depend>libopencv-dev</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp
index 40e5b8f91e6b9..a32cb4018cda9 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/debug.cpp
@@ -15,10 +15,10 @@
 #include "occlusion_spot_utils.hpp"
 #include "scene_occlusion_spot.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <cmath>
 #include <string>
@@ -30,13 +30,13 @@ namespace
 {
 using builtin_interfaces::msg::Time;
 using BasicPolygons = std::vector<lanelet::BasicPolygon2d>;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerPosition;
+using autoware::universe_utils::createMarkerScale;
 using occlusion_spot_utils::PossibleCollisionInfo;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerPosition;
-using tier4_autoware_utils::createMarkerScale;
 using visualization_msgs::msg::Marker;
 using visualization_msgs::msg::MarkerArray;
 
@@ -214,12 +214,12 @@ MarkerArray OcclusionSpotModule::createDebugMarkerArray()
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls OcclusionSpotModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls OcclusionSpotModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "occlusion_spot";
-  wall.style = motion_utils::VirtualWallType::slowdown;
+  wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   for (size_t id = 0; id < debug_data_.debug_poses.size(); id++) {
     wall.pose =
       calcOffsetPose(debug_data_.debug_poses.at(id), debug_data_.baselink_to_front, 0.0, 0.0);
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp
similarity index 96%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp
index 6ab88baf77b20..783970c701262 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.cpp
@@ -52,8 +52,8 @@ void findOcclusionSpots(
   for (const auto & point : polygon.outer()) {
     grid_polygon.addVertex({point.x(), point.y()});
   }
-  for (grid_map_utils::PolygonIterator iterator(grid, grid_polygon); !iterator.isPastEnd();
-       ++iterator) {
+  for (autoware::grid_map_utils::PolygonIterator iterator(grid, grid_polygon);
+       !iterator.isPastEnd(); ++iterator) {
     const grid_map::Index & index = *iterator;
     if (grid_data(index.x(), index.y()) == grid_utils::occlusion_cost_value::UNKNOWN) {
       grid_map::Position occlusion_spot_position;
@@ -77,8 +77,8 @@ bool isCollisionFree(
     for (const auto & point : polygon.outer()) {
       grid_polygon.addVertex({point.x(), point.y()});
     }
-    for (grid_map_utils::PolygonIterator iterator(grid, grid_polygon); !iterator.isPastEnd();
-         ++iterator) {
+    for (autoware::grid_map_utils::PolygonIterator iterator(grid, grid_polygon);
+         !iterator.isPastEnd(); ++iterator) {
       const grid_map::Index & index = *iterator;
       if (grid_data(index.x(), index.y()) == grid_utils::occlusion_cost_value::OCCUPIED) {
         return false;
@@ -95,7 +95,7 @@ std::optional<Polygon2d> generateOcclusionPolygon(
   const Polygon2d & occupancy_poly, const Point2d & origin, const Point2d & min_theta_pos,
   const Point2d & max_theta_pos, const double ray_max_length = 100.0)
 {
-  using tier4_autoware_utils::normalizeRadian;
+  using autoware::universe_utils::normalizeRadian;
   const double origin_x = origin.x();
   const double origin_y = origin.y();
   const double min_theta =
@@ -134,7 +134,7 @@ std::optional<Polygon2d> generateOcclusionPolygon(
 
 Polygon2d generateOccupancyPolygon(const nav_msgs::msg::MapMetaData & info, const double r = 100)
 {
-  using tier4_autoware_utils::calcOffsetPose;
+  using autoware::universe_utils::calcOffsetPose;
   // generate occupancy polygon from grid origin
   Polygon2d poly;  // create counter clockwise poly
   poly.outer().emplace_back(to_bg2d(calcOffsetPose(info.origin, 0, 0, 0).position));
@@ -155,7 +155,7 @@ std::pair<size_t, size_t> calcEdgePoint(const Polygon2d & foot_print, const Poin
   for (size_t i = 0; i < foot_print.outer().size(); i++) {
     const auto & f = foot_print.outer().at(i);
     PolarCoordinates polar = toPolarCoordinates(origin, f);
-    const double theta_norm = tier4_autoware_utils::normalizeRadian(polar.theta, 0.0);
+    const double theta_norm = autoware::universe_utils::normalizeRadian(polar.theta, 0.0);
     if (theta_norm < min_theta) {
       min_theta = theta_norm;
       min_idx = i;
@@ -183,7 +183,7 @@ std::optional<Polygon2d> generateOccupiedPolygon(
 
 Point transformFromMap2Grid(const TransformStamped & geom_tf_map2grid, const Point2d & p)
 {
-  Point geom_pt = tier4_autoware_utils::createPoint(p.x(), p.y(), 0);
+  Point geom_pt = autoware::universe_utils::createPoint(p.x(), p.y(), 0);
   Point transformed_geom_pt;
   // from map coordinate to occupancy grid coordinate
   tf2::doTransform(geom_pt, transformed_geom_pt, geom_tf_map2grid);
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp
index 8dc59d07173dc..d716f17751dc0 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/grid_utils.hpp
@@ -15,15 +15,15 @@
 #ifndef GRID_UTILS_HPP_
 #define GRID_UTILS_HPP_
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
+#include <autoware_grid_map_utils/polygon_iterator.hpp>
 #include <grid_map_core/GridMap.hpp>
 #include <grid_map_core/iterators/LineIterator.hpp>
 #include <grid_map_ros/GridMapRosConverter.hpp>
-#include <grid_map_utils/polygon_iterator.hpp>
 #include <opencv2/opencv.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
 
 #include <autoware_perception_msgs/msg/object_classification.hpp>
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -55,15 +55,15 @@ using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::PoseStamped;
 namespace grid_utils
 {
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
 using geometry_msgs::msg::Point;
 using geometry_msgs::msg::TransformStamped;
 using nav_msgs::msg::MapMetaData;
 using nav_msgs::msg::OccupancyGrid;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 
 namespace occlusion_cost_value
 {
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp
index c1d345cbc9aac..5e686cf648c50 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.cpp
@@ -16,8 +16,8 @@
 
 #include "scene_occlusion_spot.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <lanelet2_core/primitives/BasicRegulatoryElements.h>
 
@@ -27,9 +27,9 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using occlusion_spot_utils::DETECTION_METHOD;
 using occlusion_spot_utils::PASS_JUDGE;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 OcclusionSpotModuleManager::OcclusionSpotModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp
index 123d0ef32afc1..32b1818214952 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/manager.hpp
@@ -18,9 +18,9 @@
 #include "occlusion_spot_utils.hpp"
 #include "scene_occlusion_spot.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp
index ed195023ce67a..911842ddd57ed 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.cpp
@@ -16,13 +16,13 @@
 
 #include "risk_predictive_braking.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 #include <interpolation/spline_interpolation.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/normalization.hpp>
 
 #include <deque>
 #include <functional>
@@ -41,7 +41,7 @@ namespace occlusion_spot_utils
 Polygon2d toFootprintPolygon(const PredictedObject & object, const double scale = 1.0)
 {
   const Pose & obj_pose = object.kinematics.initial_pose_with_covariance.pose;
-  Polygon2d obj_footprint = tier4_autoware_utils::toPolygon2d(object);
+  Polygon2d obj_footprint = autoware::universe_utils::toPolygon2d(object);
   // upscale foot print for noise
   obj_footprint = upScalePolygon(obj_pose.position, obj_footprint, scale);
   return obj_footprint;
@@ -126,7 +126,7 @@ void calcSlowDownPointsForPossibleCollision(
     const double dist_to_col =
       possible_collisions.at(collision_index).arc_lane_dist_at_collision.length;
     dist_along_next_path_point +=
-      tier4_autoware_utils::calcDistance2d(p_prev.pose.position, p_next.pose.position);
+      autoware::universe_utils::calcDistance2d(p_prev.pose.position, p_next.pose.position);
     // process if nearest possible collision is between current and next path point
     if (dist_along_path_point < dist_to_col) {
       for (; collision_index < possible_collisions.size(); collision_index++) {
@@ -173,7 +173,8 @@ void clipPathByLength(
   double length_sum = 0;
   clipped.points.emplace_back(path.points.front());
   for (int i = 1; i < static_cast<int>(path.points.size()); i++) {
-    length_sum += tier4_autoware_utils::calcDistance2d(path.points.at(i - 1), path.points.at(i));
+    length_sum +=
+      autoware::universe_utils::calcDistance2d(path.points.at(i - 1), path.points.at(i));
     if (length_sum > max_length) return;
     clipped.points.emplace_back(path.points.at(i));
   }
@@ -248,7 +249,7 @@ void categorizeVehicles(
 lanelet::ArcCoordinates getOcclusionPoint(
   const PredictedObject & obj, const lanelet::ConstLineString2d & ll_string)
 {
-  const auto poly = tier4_autoware_utils::toPolygon2d(obj);
+  const auto poly = autoware::universe_utils::toPolygon2d(obj);
   std::deque<lanelet::ArcCoordinates> arcs;
   for (const auto & p : poly.outer()) {
     lanelet::BasicPoint2d obj_p = {p.x(), p.y()};
@@ -374,7 +375,7 @@ std::vector<PredictedObject> filterVehiclesByDetectionArea(
   // stuck points by predicted objects
   for (const auto & object : objs) {
     // check if the footprint is in the stuck detect area
-    const auto obj_footprint = tier4_autoware_utils::toPolygon2d(object);
+    const auto obj_footprint = autoware::universe_utils::toPolygon2d(object);
     for (const auto & p : polys) {
       if (!bg::disjoint(obj_footprint, p)) {
         filtered_obj.emplace_back(object);
@@ -402,8 +403,8 @@ bool generatePossibleCollisionsFromGridMap(
       param.detection_area.min_occlusion_spot_size);
     if (param.is_show_occlusion) {
       for (const auto & op : occlusion_spot_positions) {
-        Point p =
-          tier4_autoware_utils::createPoint(op[0], op[1], path.points.at(0).point.pose.position.z);
+        Point p = autoware::universe_utils::createPoint(
+          op[0], op[1], path.points.at(0).point.pose.position.z);
         debug_data.occlusion_points.emplace_back(p);
       }
     }
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp
similarity index 98%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp
index 542c869919339..189a5be5abe95 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/occlusion_spot_utils.hpp
@@ -17,11 +17,11 @@
 
 #include "grid_utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 #include <lanelet2_extension/visualization/visualization.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <autoware_perception_msgs/msg/object_classification.hpp>
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp
index 9fe06273ea617..59434fd2f4cef 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.cpp
@@ -16,7 +16,7 @@
 
 #include "occlusion_spot_utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include <algorithm>
 #include <vector>
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/risk_predictive_braking.hpp
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp
index e5c5eaec346ff..b55869be8c902 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.cpp
@@ -17,10 +17,10 @@
 #include "occlusion_spot_utils.hpp"
 #include "risk_predictive_braking.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
 
@@ -110,12 +110,12 @@ bool OcclusionSpotModule::modifyPathVelocity(
   //! never change this interpolation interval(will affect module accuracy)
   splineInterpolate(clipped_path, 1.0, path_interpolated, logger_);
   const geometry_msgs::msg::Point start_point = path_interpolated.points.at(0).point.pose.position;
-  const auto ego_segment_idx = motion_utils::findNearestSegmentIndex(
+  const auto ego_segment_idx = autoware::motion_utils::findNearestSegmentIndex(
     path_interpolated.points, ego_pose, param_.dist_thr, param_.angle_thr);
   if (!ego_segment_idx) return true;
   const size_t start_point_segment_idx =
-    motion_utils::findNearestSegmentIndex(path_interpolated.points, start_point);
-  const auto offset = motion_utils::calcSignedArcLength(
+    autoware::motion_utils::findNearestSegmentIndex(path_interpolated.points, start_point);
+  const auto offset = autoware::motion_utils::calcSignedArcLength(
     path_interpolated.points, ego_pose.position, *ego_segment_idx, start_point,
     start_point_segment_idx);
   const double offset_from_start_to_ego = -offset;
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp
similarity index 86%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp
index 00126a2ebc39a..b83051fb6b6ec 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/src/scene_occlusion_spot.hpp
@@ -17,10 +17,10 @@
 
 #include "occlusion_spot_utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -56,12 +56,12 @@ class OcclusionSpotModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   // Parameter
   PlannerParam param_;
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch_;
   std::vector<lanelet::BasicPolygon2d> partition_lanelets_;
 
 protected:
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp
index a21e0333082a9..6bc9423b6dc96 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_grid_utils.cpp
@@ -15,8 +15,8 @@
 #include "grid_utils.hpp"
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <gtest/gtest.h>
 
@@ -85,7 +85,7 @@ TEST(compareTime, polygon_vs_line_iterator)
     }
   }
   const grid_map::Matrix & grid_data = grid["layer"];
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
   stop_watch.tic("processing_time");
   size_t count = 0;
   [[maybe_unused]] double time = 0;
@@ -102,8 +102,8 @@ TEST(compareTime, polygon_vs_line_iterator)
         for (const auto & point : polygon.outer()) {
           grid_polygon.addVertex({point.x(), point.y()});
         }
-        for (grid_map_utils::PolygonIterator iterator(grid, grid_polygon); !iterator.isPastEnd();
-             ++iterator) {
+        for (autoware::grid_map_utils::PolygonIterator iterator(grid, grid_polygon);
+             !iterator.isPastEnd(); ++iterator) {
           const grid_map::Index & index = *iterator;
           if (grid_data(index.x(), index.y()) == OCCUPIED) {
             std::cout << "occupied" << std::endl;
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp
index 60ef5d62a5b7b..0322bda0a88c9 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_occlusion_spot_utils.cpp
@@ -16,8 +16,8 @@
 #include "occlusion_spot_utils.hpp"
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include "geometry_msgs/msg/point.hpp"
 #include "geometry_msgs/msg/vector3.hpp"
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_risk_predictive_braking.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_risk_predictive_braking.cpp
similarity index 100%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/test/src/test_risk_predictive_braking.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/test_risk_predictive_braking.cpp
diff --git a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp
similarity index 98%
rename from planning/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp
index 4b8a7ae3b2f3f..39a887ab16476 100644
--- a/planning/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_occlusion_spot_module/test/src/utils.hpp
@@ -86,7 +86,7 @@ inline void generatePossibleCollisions(
     // intersection
     geometry_msgs::msg::Pose intersection_pose{};
     intersection_pose.position.x = x0 + x_step * i + lon;
-    intersection_pose.position.x = y0 + y_step * i;
+    intersection_pose.position.y = y0 + y_step * i;
 
     // collision path point
     autoware_planning_msgs::msg::PathPoint collision_with_margin{};
diff --git a/planning/autoware_behavior_velocity_planner/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_planner/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/README.md
similarity index 96%
rename from planning/autoware_behavior_velocity_planner/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/README.md
index 5b6ec1f6fa0e5..f688318ed051e 100644
--- a/planning/autoware_behavior_velocity_planner/README.md
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/README.md
@@ -10,17 +10,16 @@ It loads modules as plugins. Please refer to the links listed below for detail o
 - [Blind Spot](../autoware_behavior_velocity_blind_spot_module/README.md)
 - [Crosswalk](../autoware_behavior_velocity_crosswalk_module/README.md)
 - [Walkway](../autoware_behavior_velocity_walkway_module/README.md)
-- [Detection Area](../behavior_velocity_detection_area_module/README.md)
+- [Detection Area](../autoware_behavior_velocity_detection_area_module/README.md)
 - [Intersection](../autoware_behavior_velocity_intersection_module/README.md)
-- [MergeFromPrivate](../behavior_velocity_intersection_module/README.md#merge-from-private)
+- [MergeFromPrivate](../autoware_behavior_velocity_intersection_module/README.md#merge-from-private)
 - [Stop Line](../autoware_behavior_velocity_stop_line_module/README.md)
 - [Virtual Traffic Light](../autoware_behavior_velocity_virtual_traffic_light_module/README.md)
 - [Traffic Light](../autoware_behavior_velocity_traffic_light_module/README.md)
 - [Occlusion Spot](../autoware_behavior_velocity_occlusion_spot_module/README.md)
-- [No Stopping Area](../behavior_velocity_no_stopping_area_module/README.md)
+- [No Stopping Area](../autoware_behavior_velocity_no_stopping_area_module/README.md)
 - [Run Out](../autoware_behavior_velocity_run_out_module/README.md)
 - [Speed Bump](../behavior_velocity_speed_bump_module/README.md)
-- [Out of Lane](../behavior_velocity_out_of_lane_module/README.md)
 
 When each module plans velocity, it considers based on `base_link`(center of rear-wheel axis) pose.
 So for example, in order to stop at a stop line with the vehicles' front on the stop line, it calculates `base_link` position from the distance between `base_link` to front and modifies path velocity from the `base_link` position.
diff --git a/planning/autoware_behavior_velocity_planner/config/behavior_velocity_planner.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/config/behavior_velocity_planner.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/config/behavior_velocity_planner.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/config/behavior_velocity_planner.param.yaml
diff --git a/planning/autoware_behavior_velocity_planner/docs/BehaviorVelocityPlanner-Architecture.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/docs/BehaviorVelocityPlanner-Architecture.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/docs/BehaviorVelocityPlanner-Architecture.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/docs/BehaviorVelocityPlanner-Architecture.drawio.svg
diff --git a/planning/autoware_behavior_velocity_planner/docs/set_stop_velocity.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/docs/set_stop_velocity.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/docs/set_stop_velocity.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/docs/set_stop_velocity.drawio.svg
diff --git a/planning/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml
similarity index 96%
rename from planning/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml
index f52d9637c2134..3c4f4c3fdd64c 100644
--- a/planning/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/launch/behavior_velocity_planner.launch.xml
@@ -25,7 +25,6 @@
   <arg name="behavior_velocity_planner_run_out_module_param_path"/>
   <arg name="behavior_velocity_planner_speed_bump_module_param_path"/>
   <arg name="behavior_velocity_planner_no_drivable_lane_module_param_path"/>
-  <arg name="behavior_velocity_planner_dynamic_obstacle_stop_module_param_path"/>
   <!-- <arg name="behavior_velocity_planner_template_module_param_path"/> -->
   <arg name="behavior_velocity_planner_param_file" default="$(find-pkg-share behavior_velocity_planner)/config/behavior_velocity_planner.param.yaml"/>
 
@@ -68,7 +67,6 @@
     <param from="$(var behavior_velocity_planner_run_out_module_param_path)"/>
     <param from="$(var behavior_velocity_planner_speed_bump_module_param_path)"/>
     <param from="$(var behavior_velocity_planner_no_drivable_lane_module_param_path)"/>
-    <param from="$(var behavior_velocity_planner_dynamic_obstacle_stop_module_param_path)"/>
     <!-- <param from="$(var behavior_velocity_planner_template_param_path)"/> -->
 
     <param from="$(var behavior_velocity_planner_param_file)"/>
diff --git a/planning/autoware_behavior_velocity_planner/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/package.xml
similarity index 94%
rename from planning/autoware_behavior_velocity_planner/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/package.xml
index dde7ab91d70b2..24d11eb9d08d5 100644
--- a/planning/autoware_behavior_velocity_planner/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/package.xml
@@ -36,16 +36,17 @@
 
   <depend>autoware_behavior_velocity_planner_common</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_velocity_smoother</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pcl_conversions</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
@@ -56,7 +57,6 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tier4_api_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>tier4_v2x_msgs</depend>
   <depend>visualization_msgs</depend>
@@ -68,7 +68,9 @@
   <test_depend>autoware_behavior_velocity_blind_spot_module</test_depend>
   <test_depend>autoware_behavior_velocity_blind_spot_module</test_depend>
   <test_depend>autoware_behavior_velocity_crosswalk_module</test_depend>
+  <test_depend>autoware_behavior_velocity_detection_area_module</test_depend>
   <test_depend>autoware_behavior_velocity_intersection_module</test_depend>
+  <test_depend>autoware_behavior_velocity_no_drivable_lane_module</test_depend>
   <test_depend>autoware_behavior_velocity_no_stopping_area_module</test_depend>
   <test_depend>autoware_behavior_velocity_occlusion_spot_module</test_depend>
   <test_depend>autoware_behavior_velocity_run_out_module</test_depend>
@@ -77,8 +79,6 @@
   <test_depend>autoware_behavior_velocity_virtual_traffic_light_module</test_depend>
   <test_depend>autoware_behavior_velocity_walkway_module</test_depend>
   <test_depend>autoware_lint_common</test_depend>
-  <test_depend>behavior_velocity_detection_area_module</test_depend>
-  <test_depend>behavior_velocity_no_drivable_lane_module</test_depend>
   <test_depend>behavior_velocity_speed_bump_module</test_depend>
   <!--<test_depend>autoware_behavior_velocity_template_module</test_depend>-->
 
diff --git a/planning/autoware_behavior_velocity_planner/schema/behavior_velocity_planner.schema.json b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/schema/behavior_velocity_planner.schema.json
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/schema/behavior_velocity_planner.schema.json
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/schema/behavior_velocity_planner.schema.json
diff --git a/planning/autoware_behavior_velocity_planner/src/node.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_planner/src/node.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.cpp
index 40457ce4b30f3..cbacbe625238e 100644
--- a/planning/autoware_behavior_velocity_planner/src/node.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.cpp
@@ -14,13 +14,13 @@
 
 #include "node.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/wait_for_param.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
+#include <autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/ros/wait_for_param.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_status.hpp>
 #include <visualization_msgs/msg/marker_array.hpp>
@@ -130,8 +130,9 @@ BehaviorVelocityPlannerNode::BehaviorVelocityPlannerNode(const rclcpp::NodeOptio
     planner_manager_.launchScenePlugin(*this, name);
   }
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void BehaviorVelocityPlannerNode::onLoadPlugin(
@@ -193,7 +194,7 @@ void BehaviorVelocityPlannerNode::processNoGroundPointCloud(
   Eigen::Affine3f affine = tf2::transformToEigen(transform.transform).cast<float>();
   pcl::PointCloud<pcl::PointXYZ>::Ptr pc_transformed(new pcl::PointCloud<pcl::PointXYZ>);
   if (!pc.empty()) {
-    tier4_autoware_utils::transformPointCloud(pc, *pc_transformed, affine);
+    autoware::universe_utils::transformPointCloud(pc, *pc_transformed, affine);
   }
 
   planner_data_.no_ground_pointcloud = pc_transformed;
@@ -378,7 +379,7 @@ autoware_planning_msgs::msg::Path BehaviorVelocityPlannerNode::generatePath(
   autoware_planning_msgs::msg::Path output_path_msg;
 
   // TODO(someone): support backward path
-  const auto is_driving_forward = motion_utils::isDrivingForward(input_path_msg->points);
+  const auto is_driving_forward = autoware::motion_utils::isDrivingForward(input_path_msg->points);
   is_driving_forward_ = is_driving_forward ? is_driving_forward.value() : is_driving_forward_;
   if (!is_driving_forward_) {
     RCLCPP_WARN_THROTTLE(
diff --git a/planning/autoware_behavior_velocity_planner/src/node.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.hpp
similarity index 82%
rename from planning/autoware_behavior_velocity_planner/src/node.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.hpp
index 73dfdb15e2d8d..fab047029e29c 100644
--- a/planning/autoware_behavior_velocity_planner/src/node.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/node.hpp
@@ -15,15 +15,15 @@
 #ifndef NODE_HPP_
 #define NODE_HPP_
 
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 #include "planner_manager.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
 
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <autoware_behavior_velocity_planner/srv/load_plugin.hpp>
 #include <autoware_behavior_velocity_planner/srv/unload_plugin.hpp>
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -69,29 +69,30 @@ class BehaviorVelocityPlannerNode : public rclcpp::Node
   rclcpp::Subscription<VelocityLimit>::SharedPtr sub_external_velocity_limit_;
 
   // polling subscribers
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     autoware_perception_msgs::msg::PredictedObjects>
     sub_predicted_objects_{this, "~/input/dynamic_objects"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
-    sub_no_ground_pointcloud_{this, "~/input/no_ground_pointcloud"};
+  autoware::universe_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
+    sub_no_ground_pointcloud_{
+      this, "~/input/no_ground_pointcloud", autoware::universe_utils::SingleDepthSensorQoS()};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
     sub_vehicle_odometry_{this, "~/input/vehicle_odometry"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     geometry_msgs::msg::AccelWithCovarianceStamped>
     sub_acceleration_{this, "~/input/accel"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     autoware_perception_msgs::msg::TrafficLightGroupArray>
     sub_traffic_signals_{this, "~/input/traffic_signals"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     tier4_v2x_msgs::msg::VirtualTrafficLightStateArray>
     sub_virtual_traffic_light_states_{this, "~/input/virtual_traffic_light_states"};
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::OccupancyGrid>
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::OccupancyGrid>
     sub_occupancy_grid_{this, "~/input/occupancy_grid"};
 
   void onTrigger(const tier4_planning_msgs::msg::PathWithLaneId::ConstSharedPtr input_path_msg);
@@ -142,9 +143,9 @@ class BehaviorVelocityPlannerNode : public rclcpp::Node
     const tier4_planning_msgs::msg::PathWithLaneId::ConstSharedPtr input_path_msg,
     const PlannerData & planner_data);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   static constexpr int logger_throttle_interval = 3000;
 };
diff --git a/planning/autoware_behavior_velocity_planner/src/planner_manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/planner_manager.cpp
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/src/planner_manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/planner_manager.cpp
diff --git a/planning/autoware_behavior_velocity_planner/src/planner_manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/planner_manager.hpp
similarity index 94%
rename from planning/autoware_behavior_velocity_planner/src/planner_manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/planner_manager.hpp
index 73193a002918d..abeab16dd71cb 100644
--- a/planning/autoware_behavior_velocity_planner/src/planner_manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/src/planner_manager.hpp
@@ -15,8 +15,8 @@
 #ifndef PLANNER_MANAGER_HPP_
 #define PLANNER_MANAGER_HPP_
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
 #include <pluginlib/class_loader.hpp>
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/autoware_behavior_velocity_planner/srv/LoadPlugin.srv b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/srv/LoadPlugin.srv
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/srv/LoadPlugin.srv
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/srv/LoadPlugin.srv
diff --git a/planning/autoware_behavior_velocity_planner/srv/UnloadPlugin.srv b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/srv/UnloadPlugin.srv
similarity index 100%
rename from planning/autoware_behavior_velocity_planner/srv/UnloadPlugin.srv
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/srv/UnloadPlugin.srv
diff --git a/planning/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp
index 113edb6fcf7b4..29cd7a215907f 100644
--- a/planning/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner/test/src/test_node_interface.cpp
@@ -98,7 +98,7 @@ std::shared_ptr<BehaviorVelocityPlannerNode> generateNode()
                    get_behavior_velocity_module_config("blind_spot"),
                    get_behavior_velocity_module_config("crosswalk"),
                    get_behavior_velocity_module_config("walkway"),
-                   get_behavior_velocity_module_config_no_prefix("detection_area"),
+                   get_behavior_velocity_module_config("detection_area"),
                    get_behavior_velocity_module_config("intersection"),
                    get_behavior_velocity_module_config("no_stopping_area"),
                    get_behavior_velocity_module_config("occlusion_spot"),
@@ -107,7 +107,7 @@ std::shared_ptr<BehaviorVelocityPlannerNode> generateNode()
                    get_behavior_velocity_module_config("stop_line"),
                    get_behavior_velocity_module_config("traffic_light"),
                    get_behavior_velocity_module_config("virtual_traffic_light"),
-                   get_behavior_velocity_module_config_no_prefix("no_drivable_lane")});
+                   get_behavior_velocity_module_config("no_drivable_lane")});
 
   // TODO(Takagi, Isamu): set launch_modules
   // TODO(Kyoichi Sugahara) set to true launch_virtual_traffic_light
diff --git a/planning/autoware_behavior_velocity_planner_common/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_planner_common/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_planner_common/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_planner_common/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/README.md
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/planner_data.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/planner_data.hpp
similarity index 93%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/planner_data.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/planner_data.hpp
index 068a10b7e16f3..6e7f8b679d32a 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/planner_data.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/planner_data.hpp
@@ -12,14 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
 
-#include "autoware_route_handler/route_handler.hpp"
+#include "autoware/route_handler/route_handler.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/velocity_smoother/smoother/smoother_base.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <autoware_velocity_smoother/smoother/smoother_base.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -150,4 +150,4 @@ struct PlannerData
 };
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_interface.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_interface.hpp
similarity index 81%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_interface.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_interface.hpp
index 86579f06790b2..b163cd31e3030 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_interface.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_interface.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
 
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
@@ -40,4 +40,4 @@ class PluginInterface
 
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_INTERFACE_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_wrapper.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_wrapper.hpp
similarity index 84%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_wrapper.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_wrapper.hpp
index e82211937e55b..0e32ff958c0a5 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/plugin_wrapper.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/plugin_wrapper.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
 
 #include <memory>
 #include <optional>
@@ -50,4 +50,4 @@ class PluginWrapper : public PluginInterface
 
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__PLUGIN_WRAPPER_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/scene_module_interface.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/scene_module_interface.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/scene_module_interface.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/scene_module_interface.hpp
index bc929991199ac..b09f00ce367dc 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/scene_module_interface.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/scene_module_interface.hpp
@@ -12,17 +12,17 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
-
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
-#include <autoware_objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp>
-#include <autoware_rtc_interface/rtc_interface.hpp>
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
+
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/motion_utils/factor/velocity_factor_interface.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/objects_of_interest_marker_interface/objects_of_interest_marker_interface.hpp>
+#include <autoware/rtc_interface/rtc_interface.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <builtin_interfaces/msg/time.hpp>
-#include <motion_utils/factor/velocity_factor_interface.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/velocity_factor.hpp>
 #include <autoware_adapi_v1_msgs/msg/velocity_factor_array.hpp>
@@ -48,14 +48,14 @@
 namespace autoware::behavior_velocity_planner
 {
 
+using autoware::motion_utils::PlanningBehavior;
+using autoware::motion_utils::VelocityFactor;
 using autoware::objects_of_interest_marker_interface::ColorName;
 using autoware::objects_of_interest_marker_interface::ObjectsOfInterestMarkerInterface;
 using autoware::rtc_interface::RTCInterface;
+using autoware::universe_utils::DebugPublisher;
+using autoware::universe_utils::getOrDeclareParameter;
 using builtin_interfaces::msg::Time;
-using motion_utils::PlanningBehavior;
-using motion_utils::VelocityFactor;
-using tier4_autoware_utils::DebugPublisher;
-using tier4_autoware_utils::getOrDeclareParameter;
 using tier4_debug_msgs::msg::Float64Stamped;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using tier4_planning_msgs::msg::StopFactor;
@@ -87,7 +87,7 @@ class SceneModuleInterface
   virtual bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) = 0;
 
   virtual visualization_msgs::msg::MarkerArray createDebugMarkerArray() = 0;
-  virtual std::vector<motion_utils::VirtualWall> createVirtualWalls() = 0;
+  virtual std::vector<autoware::motion_utils::VirtualWall> createVirtualWalls() = 0;
 
   int64_t getModuleId() const { return module_id_; }
   void setPlannerData(const std::shared_ptr<const PlannerData> & planner_data)
@@ -130,7 +130,7 @@ class SceneModuleInterface
   std::shared_ptr<const PlannerData> planner_data_;
   std::optional<tier4_v2x_msgs::msg::InfrastructureCommand> infrastructure_command_;
   std::optional<int> first_stop_path_point_index_;
-  motion_utils::VelocityFactorInterface velocity_factor_;
+  autoware::motion_utils::VelocityFactorInterface velocity_factor_;
   std::vector<ObjectOfInterest> objects_of_interest_;
 
   void setSafe(const bool safe)
@@ -197,7 +197,7 @@ class SceneModuleManagerInterface
   std::set<int64_t> registered_module_id_set_;
 
   std::shared_ptr<const PlannerData> planner_data_;
-  motion_utils::VirtualWallMarkerCreator virtual_wall_marker_creator_;
+  autoware::motion_utils::VirtualWallMarkerCreator virtual_wall_marker_creator_;
 
   std::optional<int> first_stop_path_point_index_;
   rclcpp::Node & node_;
@@ -278,4 +278,4 @@ class SceneModuleManagerInterfaceWithRTC : public SceneModuleManagerInterface
 
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__SCENE_MODULE_INTERFACE_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp
similarity index 82%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp
index 5ea1ae9fffcc1..77b7d25f9f46e 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
@@ -31,7 +31,7 @@ namespace autoware::behavior_velocity_planner
 {
 namespace
 {
-geometry_msgs::msg::Point convertToGeomPoint(const tier4_autoware_utils::Point2d & p)
+geometry_msgs::msg::Point convertToGeomPoint(const autoware::universe_utils::Point2d & p)
 {
   geometry_msgs::msg::Point geom_p;
   geom_p.x = p.x();
@@ -46,7 +46,7 @@ namespace arc_lane_utils
 {
 using PathIndexWithPose = std::pair<size_t, geometry_msgs::msg::Pose>;  // front index, pose
 using PathIndexWithPoint2d =
-  std::pair<size_t, tier4_autoware_utils::Point2d>;                       // front index, point2d
+  std::pair<size_t, autoware::universe_utils::Point2d>;                   // front index, point2d
 using PathIndexWithPoint = std::pair<size_t, geometry_msgs::msg::Point>;  // front index, point2d
 using PathIndexWithOffset = std::pair<size_t, double>;                    // front index, offset
 
@@ -76,9 +76,9 @@ std::optional<PathIndexWithPoint> findCollisionSegment(
     }
 
     const auto & p1 =
-      tier4_autoware_utils::getPoint(path.points.at(i));  // Point before collision point
+      autoware::universe_utils::getPoint(path.points.at(i));  // Point before collision point
     const auto & p2 =
-      tier4_autoware_utils::getPoint(path.points.at(i + 1));  // Point after collision point
+      autoware::universe_utils::getPoint(path.points.at(i + 1));  // Point after collision point
 
     const auto collision_point = checkCollision(p1, p2, stop_line_p1, stop_line_p2);
 
@@ -106,7 +106,8 @@ std::optional<PathIndexWithOffset> findForwardOffsetSegment(
 {
   double sum_length = 0.0;
   for (size_t i = base_idx; i < path.points.size() - 1; ++i) {
-    sum_length += tier4_autoware_utils::calcDistance2d(path.points.at(i), path.points.at(i + 1));
+    sum_length +=
+      autoware::universe_utils::calcDistance2d(path.points.at(i), path.points.at(i + 1));
 
     // If it's over offset point, return front index and remain offset length
     if (sum_length >= offset_length) {
@@ -125,7 +126,8 @@ std::optional<PathIndexWithOffset> findBackwardOffsetSegment(
   double sum_length = 0.0;
   const auto start = static_cast<std::int32_t>(base_idx) - 1;
   for (std::int32_t i = start; i >= 0; --i) {
-    sum_length += tier4_autoware_utils::calcDistance2d(path.points.at(i), path.points.at(i + 1));
+    sum_length +=
+      autoware::universe_utils::calcDistance2d(path.points.at(i), path.points.at(i + 1));
 
     // If it's over offset point, return front index and remain offset length
     if (sum_length >= offset_length) {
@@ -149,13 +151,13 @@ std::optional<PathIndexWithOffset> findOffsetSegment(
     return findForwardOffsetSegment(
       path, collision_idx,
       offset_length +
-        tier4_autoware_utils::calcDistance2d(path.points.at(collision_idx), collision_point));
+        autoware::universe_utils::calcDistance2d(path.points.at(collision_idx), collision_point));
   }
 
   return findBackwardOffsetSegment(
     path, collision_idx + 1,
     -offset_length +
-      tier4_autoware_utils::calcDistance2d(path.points.at(collision_idx + 1), collision_point));
+      autoware::universe_utils::calcDistance2d(path.points.at(collision_idx + 1), collision_point));
 }
 
 std::optional<PathIndexWithOffset> findOffsetSegment(
@@ -185,8 +187,8 @@ geometry_msgs::msg::Pose calcTargetPose(const T & path, const PathIndexWithOffse
   target_pose.position.x = target_point_2d.x();
   target_pose.position.y = target_point_2d.y();
   target_pose.position.z = interpolated_z;
-  const double yaw = tier4_autoware_utils::calcAzimuthAngle(p_front, p_back);
-  target_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  const double yaw = autoware::universe_utils::calcAzimuthAngle(p_front, p_back);
+  target_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
   return target_pose;
 }
 
@@ -197,4 +199,4 @@ std::optional<PathIndexWithPose> createTargetPoint(
 }  // namespace arc_lane_utils
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__ARC_LANE_UTIL_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp
similarity index 83%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp
index 22bba2b90dcc2..696d4a41b7673 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_planning_msgs/msg/path_point.hpp>
 #include <autoware_planning_msgs/msg/trajectory_point.hpp>
@@ -50,9 +50,9 @@ namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
 
-using Point2d = tier4_autoware_utils::Point2d;
-using LineString2d = tier4_autoware_utils::LineString2d;
-using Polygon2d = tier4_autoware_utils::Polygon2d;
+using Point2d = autoware::universe_utils::Point2d;
+using LineString2d = autoware::universe_utils::LineString2d;
+using Polygon2d = autoware::universe_utils::Polygon2d;
 
 template <class T>
 Point2d to_bg2d(const T & p)
@@ -79,4 +79,4 @@ geometry_msgs::msg::Polygon toGeomPoly(const Polygon2d & polygon);
 
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__BOOST_GEOMETRY_HELPER_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/debug.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/debug.hpp
similarity index 90%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/debug.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/debug.hpp
index c6e5d45ec4eb6..3a1c8fdeb7a0d 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/debug.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/debug.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
 
 #include <rclcpp/time.hpp>
 
@@ -48,4 +48,4 @@ visualization_msgs::msg::MarkerArray createPointsMarkerArray(
   const double r, const double g, const double b);
 }  // namespace debug
 }  // namespace autoware::behavior_velocity_planner
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__DEBUG_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp
similarity index 84%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp
index e9bccc42e1dc4..1e45e5655f12f 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -35,4 +35,4 @@ autoware_planning_msgs::msg::Path filterStopPathPoint(
   const autoware_planning_msgs::msg::Path & path);
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__PATH_UTILIZATION_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/state_machine.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/state_machine.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/state_machine.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/state_machine.hpp
index 12dd4db930745..4d88f2bfecce8 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/state_machine.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/state_machine.hpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -93,4 +93,4 @@ class StateMachine
 };
 
 }  // namespace autoware::behavior_velocity_planner
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__STATE_MACHINE_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp
similarity index 82%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp
index c5040f055c243..4dc355f0e6b1d 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
 
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory.hpp>
 #include <autoware_planning_msgs/msg/trajectory_point.hpp>
@@ -42,4 +42,4 @@ bool smoothPath(
 
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__TRAJECTORY_UTILS_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/util.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/util.hpp
similarity index 92%
rename from planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/util.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/util.hpp
index 2fe728847b8f2..5f1c17ea1b815 100644
--- a/planning/autoware_behavior_velocity_planner_common/include/autoware_behavior_velocity_planner_common/utilization/util.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/utilization/util.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
-#define AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
+#ifndef AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
+#define AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_perception_msgs/msg/traffic_light_group.hpp>
@@ -57,9 +57,9 @@ struct TrafficSignalStamped
 };
 
 using Pose = geometry_msgs::msg::Pose;
-using Point2d = tier4_autoware_utils::Point2d;
-using LineString2d = tier4_autoware_utils::LineString2d;
-using Polygon2d = tier4_autoware_utils::Polygon2d;
+using Point2d = autoware::universe_utils::Point2d;
+using LineString2d = autoware::universe_utils::LineString2d;
+using Polygon2d = autoware::universe_utils::Polygon2d;
 using BasicPolygons2d = std::vector<lanelet::BasicPolygon2d>;
 using Polygons2d = std::vector<Polygon2d>;
 using autoware_perception_msgs::msg::PredictedObjects;
@@ -228,19 +228,10 @@ std::set<lanelet::Id> getAssociativeIntersectionLanelets(
   lanelet::ConstLanelet lane, const lanelet::LaneletMapPtr lanelet_map,
   const lanelet::routing::RoutingGraphPtr routing_graph);
 
-template <template <class> class Container>
 lanelet::ConstLanelets getConstLaneletsFromIds(
-  lanelet::LaneletMapConstPtr map, const Container<lanelet::Id> & ids)
-{
-  lanelet::ConstLanelets ret{};
-  for (const auto & id : ids) {
-    const auto ll = map->laneletLayer.get(id);
-    ret.push_back(ll);
-  }
-  return ret;
-}
+  lanelet::LaneletMapConstPtr map, const std::set<lanelet::Id> & ids);
 
 }  // namespace planning_utils
 }  // namespace autoware::behavior_velocity_planner
 
-#endif  // AUTOWARE_BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
+#endif  // AUTOWARE__BEHAVIOR_VELOCITY_PLANNER_COMMON__UTILIZATION__UTIL_HPP_
diff --git a/planning/autoware_behavior_velocity_planner_common/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/package.xml
similarity index 96%
rename from planning/autoware_behavior_velocity_planner_common/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/package.xml
index 69b153ad5d9a9..ad4b43516c5dc 100644
--- a/planning/autoware_behavior_velocity_planner_common/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/package.xml
@@ -21,11 +21,13 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_objects_of_interest_marker_interface</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>autoware_rtc_interface</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_velocity_smoother</depend>
   <depend>diagnostic_msgs</depend>
@@ -33,7 +35,6 @@
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pcl_conversions</depend>
   <depend>rclcpp</depend>
@@ -44,7 +45,6 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tier4_api_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>tier4_v2x_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp
index 94cef496f4f75..a0f30cd3e33cb 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/scene_module_interface.cpp
@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <algorithm>
 #include <limits>
@@ -24,7 +24,7 @@
 namespace autoware::behavior_velocity_planner
 {
 
-using tier4_autoware_utils::StopWatch;
+using autoware::universe_utils::StopWatch;
 
 SceneModuleInterface::SceneModuleInterface(
   const int64_t module_id, rclcpp::Logger logger, rclcpp::Clock::SharedPtr clock)
@@ -41,7 +41,7 @@ size_t SceneModuleInterface::findEgoSegmentIndex(
   const std::vector<tier4_planning_msgs::msg::PathPointWithLaneId> & points) const
 {
   const auto & p = planner_data_;
-  return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     points, p->current_odometry->pose, p->ego_nearest_dist_threshold);
 }
 
@@ -77,7 +77,7 @@ size_t SceneModuleManagerInterface::findEgoSegmentIndex(
   const std::vector<tier4_planning_msgs::msg::PathPointWithLaneId> & points) const
 {
   const auto & p = planner_data_;
-  return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     points, p->current_odometry->pose, p->ego_nearest_dist_threshold, p->ego_nearest_yaw_threshold);
 }
 
@@ -236,7 +236,7 @@ UUID SceneModuleManagerInterfaceWithRTC::getUUID(const int64_t & module_id) cons
 
 void SceneModuleManagerInterfaceWithRTC::generateUUID(const int64_t & module_id)
 {
-  map_uuid_.insert({module_id, tier4_autoware_utils::generateUUID()});
+  map_uuid_.insert({module_id, autoware::universe_utils::generateUUID()});
 }
 
 void SceneModuleManagerInterfaceWithRTC::removeUUID(const int64_t & module_id)
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp
index d7e88f5f33901..3e029174b288d 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/arc_lane_util.cpp
@@ -12,8 +12,8 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp
index 50f7cd269a904..33cf428e80808 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/boost_geometry_helper.cpp
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
 
 #include <boost/geometry/algorithms/correct.hpp>
 
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp
index a8e6828a048ae..dfd201bac707c 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/debug.cpp
@@ -12,18 +12,18 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/utilization/debug.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/debug.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 namespace autoware::behavior_velocity_planner
 {
 namespace debug
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
 
 visualization_msgs::msg::MarkerArray createPolygonMarkerArray(
   const geometry_msgs::msg::Polygon & polygon, const std::string & ns, const int64_t module_id,
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp
similarity index 91%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp
index eb17242c06b1e..62050d24e273d 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/path_utilization.cpp
@@ -12,9 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <motion_utils/resample/resample.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/motion_utils/resample/resample.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <algorithm>
@@ -34,7 +34,7 @@ bool splineInterpolate(
     return false;
   }
 
-  output = motion_utils::resamplePath(input, interval, false, true, true, false);
+  output = autoware::motion_utils::resamplePath(input, interval, false, true, true, false);
 
   return true;
 }
@@ -68,7 +68,7 @@ autoware_planning_msgs::msg::Path interpolatePath(
     return path;
   }
 
-  double path_len = std::min(length, motion_utils::calcArcLength(path.points));
+  double path_len = std::min(length, autoware::motion_utils::calcArcLength(path.points));
   {
     double s = 0.0;
     for (size_t idx = 0; idx < path.points.size(); ++idx) {
@@ -79,7 +79,7 @@ autoware_planning_msgs::msg::Path interpolatePath(
       v.push_back(path_point.longitudinal_velocity_mps);
       if (idx != 0) {
         const auto path_point_prev = path.points.at(idx - 1);
-        s += tier4_autoware_utils::calcDistance2d(path_point_prev.pose, path_point.pose);
+        s += autoware::universe_utils::calcDistance2d(path_point_prev.pose, path_point.pose);
       }
       if (s > path_len) {
         break;
@@ -122,7 +122,7 @@ autoware_planning_msgs::msg::Path interpolatePath(
     return path;
   }
 
-  return motion_utils::resamplePath(path, s_out);
+  return autoware::motion_utils::resamplePath(path, s_out);
 }
 
 autoware_planning_msgs::msg::Path filterLitterPathPoint(
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp
similarity index 81%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp
index 1dc448bea5b86..5900bd3531266 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/trajectory_utils.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-// #include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include "motion_utils/trajectory/conversion.hpp"
+// #include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
-#include <autoware_velocity_smoother/trajectory_utils.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/velocity_smoother/trajectory_utils.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <geometry_msgs/msg/quaternion.hpp>
@@ -55,7 +55,8 @@ bool smoothPath(
   const auto & smoother = planner_data->velocity_smoother_;
 
   auto trajectory =
-    motion_utils::convertToTrajectoryPoints<tier4_planning_msgs::msg::PathWithLaneId>(in_path);
+    autoware::motion_utils::convertToTrajectoryPoints<tier4_planning_msgs::msg::PathWithLaneId>(
+      in_path);
   const auto traj_lateral_acc_filtered = smoother->applyLateralAccelerationFilter(trajectory);
 
   const auto traj_steering_rate_limited =
@@ -65,9 +66,10 @@ bool smoothPath(
   auto traj_resampled = smoother->resampleTrajectory(
     traj_steering_rate_limited, v0, current_pose, planner_data->ego_nearest_dist_threshold,
     planner_data->ego_nearest_yaw_threshold);
-  const size_t traj_resampled_closest = motion_utils::findFirstNearestIndexWithSoftConstraints(
-    traj_resampled, current_pose, planner_data->ego_nearest_dist_threshold,
-    planner_data->ego_nearest_yaw_threshold);
+  const size_t traj_resampled_closest =
+    autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
+      traj_resampled, current_pose, planner_data->ego_nearest_dist_threshold,
+      planner_data->ego_nearest_yaw_threshold);
   std::vector<TrajectoryPoints> debug_trajectories;
   // Clip trajectory from closest point
   TrajectoryPoints clipped;
@@ -85,7 +87,7 @@ bool smoothPath(
     autoware::velocity_smoother::trajectory_utils::applyMaximumVelocityLimit(
       traj_resampled_closest, traj_smoothed.size(), external_v_limit->max_velocity, traj_smoothed);
   }
-  out_path = motion_utils::convertToPathWithLaneId<TrajectoryPoints>(traj_smoothed);
+  out_path = autoware::motion_utils::convertToPathWithLaneId<TrajectoryPoints>(traj_smoothed);
   return true;
 }
 
diff --git a/planning/autoware_behavior_velocity_planner_common/src/utilization/util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/util.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_planner_common/src/utilization/util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/util.cpp
index 4578676aeeee7..c08a4878dd4a7 100644
--- a/planning/autoware_behavior_velocity_planner_common/src/utilization/util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/src/utilization/util.cpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 
 #include <autoware_planning_msgs/msg/path_point.hpp>
 
@@ -45,8 +45,10 @@ size_t calcPointIndexFromSegmentIndex(
   const size_t prev_point_idx = seg_idx;
   const size_t next_point_idx = seg_idx + 1;
 
-  const double prev_dist = tier4_autoware_utils::calcDistance2d(point, points.at(prev_point_idx));
-  const double next_dist = tier4_autoware_utils::calcDistance2d(point, points.at(next_point_idx));
+  const double prev_dist =
+    autoware::universe_utils::calcDistance2d(point, points.at(prev_point_idx));
+  const double next_dist =
+    autoware::universe_utils::calcDistance2d(point, points.at(next_point_idx));
 
   if (prev_dist < next_dist) {
     return prev_point_idx;
@@ -60,7 +62,7 @@ PathPoint getLerpPathPointWithLaneId(const PathPoint p0, const PathPoint p1, con
 {
   auto lerp = [](const double a, const double b, const double t) { return a + t * (b - a); };
   PathPoint p;
-  p.pose = tier4_autoware_utils::calcInterpolatedPose(p0, p1, ratio);
+  p.pose = autoware::universe_utils::calcInterpolatedPose(p0, p1, ratio);
   const double v = lerp(p0.longitudinal_velocity_mps, p1.longitudinal_velocity_mps, ratio);
   p.longitudinal_velocity_mps = v;
   return p;
@@ -82,7 +84,7 @@ geometry_msgs::msg::Pose transformRelCoordinate2D(
   res.position.y = ((-1.0) * std::sin(yaw) * trans_p.x) + (std::cos(yaw) * trans_p.y);
   res.position.z = target.position.z - origin.position.z;
   res.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(tf2::getYaw(target.orientation) - yaw);
+    autoware::universe_utils::createQuaternionFromYaw(tf2::getYaw(target.orientation) - yaw);
 
   return res;
 }
@@ -93,16 +95,16 @@ namespace autoware::behavior_velocity_planner
 {
 namespace planning_utils
 {
+using autoware::motion_utils::calcLongitudinalOffsetToSegment;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::validateNonEmpty;
+using autoware::universe_utils::calcAzimuthAngle;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::calcSquaredDistance2d;
+using autoware::universe_utils::createQuaternionFromYaw;
+using autoware::universe_utils::getPoint;
 using autoware_planning_msgs::msg::PathPoint;
-using motion_utils::calcLongitudinalOffsetToSegment;
-using motion_utils::calcSignedArcLength;
-using motion_utils::validateNonEmpty;
-using tier4_autoware_utils::calcAzimuthAngle;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::calcSquaredDistance2d;
-using tier4_autoware_utils::createQuaternionFromYaw;
-using tier4_autoware_utils::getPoint;
 
 size_t calcSegmentIndexFromPointIndex(
   const std::vector<tier4_planning_msgs::msg::PathPointWithLaneId> & points,
@@ -118,7 +120,8 @@ size_t calcSegmentIndexFromPointIndex(
     return 0;
   }
 
-  const double offset_to_seg = motion_utils::calcLongitudinalOffsetToSegment(points, idx, point);
+  const double offset_to_seg =
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(points, idx, point);
   if (0 < offset_to_seg) {
     return idx;
   }
@@ -315,7 +318,7 @@ geometry_msgs::msg::Pose getAheadPose(
   for (size_t i = start_idx; i < path.points.size() - 1; ++i) {
     const geometry_msgs::msg::Pose p0 = path.points.at(i).point.pose;
     const geometry_msgs::msg::Pose p1 = path.points.at(i + 1).point.pose;
-    curr_dist += tier4_autoware_utils::calcDistance2d(p0, p1);
+    curr_dist += autoware::universe_utils::calcDistance2d(p0, p1);
     if (curr_dist > ahead_dist) {
       const double dl = std::max(curr_dist - prev_dist, 0.0001 /* avoid 0 divide */);
       const double w_p0 = (curr_dist - ahead_dist) / dl;
@@ -415,7 +418,7 @@ double findReachTime(
     return j * t * t * t / 6.0 + a * t * t / 2.0 + v * t - d;
   };
   if (f(min, j, a, v, d) > 0 || f(max, j, a, v, d) < 0) {
-    std::logic_error("[behavior_velocity](findReachTime): search range is invalid");
+    throw std::logic_error("[behavior_velocity](findReachTime): search range is invalid");
   }
   const double eps = 1e-5;
   const int warn_iter = 100;
@@ -447,7 +450,7 @@ double calcDecelerationVelocityFromDistanceToTarget(
   const double current_velocity, const double distance_to_target)
 {
   if (max_slowdown_jerk > 0 || max_slowdown_accel > 0) {
-    std::logic_error("max_slowdown_jerk and max_slowdown_accel should be negative");
+    throw std::logic_error("max_slowdown_jerk and max_slowdown_accel should be negative");
   }
   // case0: distance to target is behind ego
   if (distance_to_target <= 0) return current_velocity;
@@ -610,7 +613,8 @@ bool isOverLine(
   const tier4_planning_msgs::msg::PathWithLaneId & path, const geometry_msgs::msg::Pose & self_pose,
   const geometry_msgs::msg::Pose & line_pose, const double offset)
 {
-  return motion_utils::calcSignedArcLength(path.points, self_pose.position, line_pose.position) +
+  return autoware::motion_utils::calcSignedArcLength(
+           path.points, self_pose.position, line_pose.position) +
            offset <
          0.0;
 }
@@ -622,9 +626,10 @@ std::optional<geometry_msgs::msg::Pose> insertDecelPoint(
   // TODO(tanaka): consider proper overlap threshold for inserting decel point
   const double overlap_threshold = 5e-2;
   // TODO(murooka): remove this function for u-turn and crossing-path
-  const size_t base_idx = motion_utils::findNearestSegmentIndex(output.points, stop_point);
-  const auto insert_idx =
-    motion_utils::insertTargetPoint(base_idx, stop_point, output.points, overlap_threshold);
+  const size_t base_idx =
+    autoware::motion_utils::findNearestSegmentIndex(output.points, stop_point);
+  const auto insert_idx = autoware::motion_utils::insertTargetPoint(
+    base_idx, stop_point, output.points, overlap_threshold);
 
   if (!insert_idx) {
     return {};
@@ -635,33 +640,36 @@ std::optional<geometry_msgs::msg::Pose> insertDecelPoint(
     output.points.at(i).point.longitudinal_velocity_mps =
       std::min(original_velocity, target_velocity);
   }
-  return tier4_autoware_utils::getPose(output.points.at(insert_idx.value()));
+  return autoware::universe_utils::getPose(output.points.at(insert_idx.value()));
 }
 
 // TODO(murooka): remove this function for u-turn and crossing-path
 std::optional<geometry_msgs::msg::Pose> insertStopPoint(
   const geometry_msgs::msg::Point & stop_point, PathWithLaneId & output)
 {
-  const size_t base_idx = motion_utils::findNearestSegmentIndex(output.points, stop_point);
-  const auto insert_idx = motion_utils::insertStopPoint(base_idx, stop_point, output.points);
+  const size_t base_idx =
+    autoware::motion_utils::findNearestSegmentIndex(output.points, stop_point);
+  const auto insert_idx =
+    autoware::motion_utils::insertStopPoint(base_idx, stop_point, output.points);
 
   if (!insert_idx) {
     return {};
   }
 
-  return tier4_autoware_utils::getPose(output.points.at(insert_idx.value()));
+  return autoware::universe_utils::getPose(output.points.at(insert_idx.value()));
 }
 
 std::optional<geometry_msgs::msg::Pose> insertStopPoint(
   const geometry_msgs::msg::Point & stop_point, const size_t stop_seg_idx, PathWithLaneId & output)
 {
-  const auto insert_idx = motion_utils::insertStopPoint(stop_seg_idx, stop_point, output.points);
+  const auto insert_idx =
+    autoware::motion_utils::insertStopPoint(stop_seg_idx, stop_point, output.points);
 
   if (!insert_idx) {
     return {};
   }
 
-  return tier4_autoware_utils::getPose(output.points.at(insert_idx.value()));
+  return autoware::universe_utils::getPose(output.points.at(insert_idx.value()));
 }
 
 std::set<lanelet::Id> getAssociativeIntersectionLanelets(
@@ -693,5 +701,16 @@ std::set<lanelet::Id> getAssociativeIntersectionLanelets(
   return associative_intersection_lanelets;
 }
 
+lanelet::ConstLanelets getConstLaneletsFromIds(
+  lanelet::LaneletMapConstPtr map, const std::set<lanelet::Id> & ids)
+{
+  lanelet::ConstLanelets ret{};
+  for (const auto & id : ids) {
+    const auto ll = map->laneletLayer.get(id);
+    ret.push_back(ll);
+  }
+  return ret;
+}
+
 }  // namespace planning_utils
 }  // namespace autoware::behavior_velocity_planner
diff --git a/planning/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp
index b835aa0034ec4..ddedec80dc0f3 100644
--- a/planning/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_arc_lane_util.cpp
@@ -14,8 +14,8 @@
 
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include <gtest/gtest.h>
 
diff --git a/planning/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp
index fe6a1e00496b1..37ab955b9cabc 100644
--- a/planning/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_state_machine.cpp
@@ -14,7 +14,7 @@
 
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/state_machine.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/state_machine.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <gtest/gtest.h>
diff --git a/planning/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp
index 5e6c92b662820..ca5c57fd522c9 100644
--- a/planning/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/test_utilization.cpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include <gtest/gtest.h>
 
@@ -84,10 +84,10 @@ TEST(smoothDeceleration, calculateMaxSlowDownVelocity)
 TEST(specialInterpolation, specialInterpolation)
 {
   using autoware::behavior_velocity_planner::interpolatePath;
+  using autoware::motion_utils::calcSignedArcLength;
+  using autoware::motion_utils::searchZeroVelocityIndex;
   using autoware_planning_msgs::msg::Path;
   using autoware_planning_msgs::msg::PathPoint;
-  using motion_utils::calcSignedArcLength;
-  using motion_utils::searchZeroVelocityIndex;
 
   const auto genPath = [](const auto p, const auto v) {
     if (p.size() != v.size()) throw std::invalid_argument("different size is not expected");
diff --git a/planning/autoware_behavior_velocity_planner_common/test/src/utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/utils.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_planner_common/test/src/utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/test/src/utils.hpp
diff --git a/planning/autoware_behavior_velocity_run_out_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_run_out_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/README.md
similarity index 98%
rename from planning/autoware_behavior_velocity_run_out_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/README.md
index acc1260723f2f..d45f5b8c848e7 100644
--- a/planning/autoware_behavior_velocity_run_out_module/README.md
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/README.md
@@ -48,7 +48,7 @@ stop
 ##### Calculate the expected target velocity for ego vehicle
 
 Calculate the expected target velocity for the ego vehicle path to calculate time to collision with obstacles more precisely.
-The expected target velocity is calculated with [motion velocity smoother module](https://github.com/autowarefoundation/autoware.universe/tree/main/planning/motion_velocity_smoother) by using current velocity, current acceleration and velocity limits directed by the map and external API.
+The expected target velocity is calculated with [autoware velocity smoother module](https://github.com/autowarefoundation/autoware.universe/tree/main/planning/autoware_velocity_smoother) by using current velocity, current acceleration and velocity limits directed by the map and external API.
 
 ![brief](./docs/calculate_expected_target_velocity.svg)
 
diff --git a/planning/autoware_behavior_velocity_run_out_module/config/run_out.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/config/run_out.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/config/run_out.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/config/run_out.param.yaml
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/calculate_expected_target_velocity.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/calculate_expected_target_velocity.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/calculate_expected_target_velocity.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/calculate_expected_target_velocity.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/collision_detection_for_shape.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/collision_detection_for_shape.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/collision_detection_for_shape.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/collision_detection_for_shape.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/collision_points.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/collision_points.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/collision_points.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/collision_points.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/create_dynamic_obstacle.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/create_dynamic_obstacle.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/create_dynamic_obstacle.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/create_dynamic_obstacle.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/create_polygon_on_path_point.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/create_polygon_on_path_point.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/create_polygon_on_path_point.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/create_polygon_on_path_point.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/ego_cut_line.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/ego_cut_line.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/ego_cut_line.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/ego_cut_line.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/exclude_obstacles_by_partition.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/exclude_obstacles_by_partition.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/exclude_obstacles_by_partition.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/exclude_obstacles_by_partition.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/insert_velocity.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/insert_velocity.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/insert_velocity.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/insert_velocity.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/insert_velocity_to_approach.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/insert_velocity_to_approach.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/insert_velocity_to_approach.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/insert_velocity_to_approach.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/docs/run_out_overview.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/run_out_overview.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/docs/run_out_overview.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/docs/run_out_overview.svg
diff --git a/planning/autoware_behavior_velocity_run_out_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_velocity_run_out_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/package.xml
index 433c1470c4bbe..ce6cf92fc6450 100644
--- a/planning/autoware_behavior_velocity_run_out_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/package.xml
@@ -21,15 +21,16 @@
 
   <depend>autoware_behavior_velocity_crosswalk_module</depend>
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>libboost-dev</depend>
   <depend>message_filters</depend>
-  <depend>motion_utils</depend>
   <depend>object_recognition_utils</depend>
   <depend>pcl_conversions</depend>
   <depend>pluginlib</depend>
@@ -38,7 +39,6 @@
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_behavior_velocity_run_out_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_run_out_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.cpp
index 129d5299385fd..330a3443b4e5d 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.cpp
@@ -16,17 +16,17 @@
 
 #include "scene.hpp"
 
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 
 namespace autoware::behavior_velocity_planner
 {
@@ -35,7 +35,7 @@ namespace
 RunOutDebug::TextWithPosition createDebugText(
   const std::string text, const geometry_msgs::msg::Pose pose, const float lateral_offset)
 {
-  const auto offset_pose = tier4_autoware_utils::calcOffsetPose(pose, 0, lateral_offset, 0);
+  const auto offset_pose = autoware::universe_utils::calcOffsetPose(pose, 0, lateral_offset, 0);
 
   RunOutDebug::TextWithPosition text_with_position;
   text_with_position.text = text;
@@ -136,7 +136,7 @@ void RunOutDebug::pushDetectionAreaPolygons(const Polygon2d & debug_polygon)
 {
   std::vector<geometry_msgs::msg::Point> ros_points;
   for (const auto & p : debug_polygon.outer()) {
-    ros_points.push_back(tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0));
+    ros_points.push_back(autoware::universe_utils::createPoint(p.x(), p.y(), 0.0));
   }
 
   detection_area_polygons_.push_back(ros_points);
@@ -146,7 +146,7 @@ void RunOutDebug::pushMandatoryDetectionAreaPolygons(const Polygon2d & debug_pol
 {
   std::vector<geometry_msgs::msg::Point> ros_points;
   for (const auto & p : debug_polygon.outer()) {
-    ros_points.push_back(tier4_autoware_utils::createPoint(p.x(), p.y(), 0.0));
+    ros_points.push_back(autoware::universe_utils::createPoint(p.x(), p.y(), 0.0));
   }
 
   mandatory_detection_area_polygons_.push_back(ros_points);
@@ -186,12 +186,12 @@ visualization_msgs::msg::MarkerArray RunOutDebug::createVisualizationMarkerArray
   return visualization_marker_array;
 }
 
-motion_utils::VirtualWalls RunOutDebug::createVirtualWalls()
+autoware::motion_utils::VirtualWalls RunOutDebug::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "run_out";
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : stop_pose_) {
     wall.pose = p;
     virtual_walls.push_back(wall);
@@ -363,7 +363,7 @@ visualization_msgs::msg::MarkerArray RunOutModule::createDebugMarkerArray()
   return debug_ptr_->createVisualizationMarkerArray();
 }
 
-motion_utils::VirtualWalls RunOutModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls RunOutModule::createVirtualWalls()
 {
   return debug_ptr_->createVirtualWalls();
 }
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/debug.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.hpp
similarity index 97%
rename from planning/autoware_behavior_velocity_run_out_module/src/debug.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.hpp
index c38dd63fadba9..b9ea77fc91e8c 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/debug.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/debug.hpp
@@ -16,7 +16,7 @@
 
 #include "utils.hpp"
 
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
 
 #include <tier4_debug_msgs/msg/float32_multi_array_stamped.hpp>
 #include <tier4_debug_msgs/msg/int32_stamped.hpp>
@@ -123,7 +123,7 @@ class RunOutDebug
   void publishEmptyPointCloud();
   visualization_msgs::msg::MarkerArray createVisualizationMarkerArray();
   void setHeight(const double height);
-  motion_utils::VirtualWalls createVirtualWalls();
+  autoware::motion_utils::VirtualWalls createVirtualWalls();
 
 private:
   visualization_msgs::msg::MarkerArray createVisualizationMarkerArrayFromDebugData(
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp
similarity index 89%
rename from planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp
index 5e8b0382a07c0..f75da2b5cc5de 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.cpp
@@ -14,12 +14,12 @@
 
 #include "dynamic_obstacle.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/geometry/pose_deviation.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/pose_deviation.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
 
 #include <boost/geometry/algorithms/covered_by.hpp>
 #include <boost/geometry/algorithms/envelope.hpp>
@@ -38,16 +38,16 @@ namespace
 geometry_msgs::msg::Quaternion createQuaternionFacingToTrajectory(
   const PathPointsWithLaneId & path_points, const geometry_msgs::msg::Point & point)
 {
-  const auto nearest_idx = motion_utils::findNearestIndex(path_points, point);
+  const auto nearest_idx = autoware::motion_utils::findNearestIndex(path_points, point);
   const auto & nearest_pose = path_points.at(nearest_idx).point.pose;
 
   const auto longitudinal_offset =
-    tier4_autoware_utils::calcLongitudinalDeviation(nearest_pose, point);
+    autoware::universe_utils::calcLongitudinalDeviation(nearest_pose, point);
   const auto vertical_point =
-    tier4_autoware_utils::calcOffsetPose(nearest_pose, longitudinal_offset, 0, 0).position;
-  const auto azimuth_angle = tier4_autoware_utils::calcAzimuthAngle(point, vertical_point);
+    autoware::universe_utils::calcOffsetPose(nearest_pose, longitudinal_offset, 0, 0).position;
+  const auto azimuth_angle = autoware::universe_utils::calcAzimuthAngle(point, vertical_point);
 
-  return tier4_autoware_utils::createQuaternionFromYaw(azimuth_angle);
+  return autoware::universe_utils::createQuaternionFromYaw(azimuth_angle);
 }
 
 // create predicted path assuming that obstacles move with constant velocity
@@ -60,7 +60,7 @@ std::vector<geometry_msgs::msg::Pose> createPredictedPath(
   for (size_t i = 0; i < path_size; i++) {
     const float travel_dist = max_velocity_mps * time_step * i;
     const auto predicted_pose =
-      tier4_autoware_utils::calcOffsetPose(initial_pose, travel_dist, 0, 0);
+      autoware::universe_utils::calcOffsetPose(initial_pose, travel_dist, 0, 0);
     path_points.emplace_back(predicted_pose);
   }
 
@@ -115,7 +115,7 @@ bool isAheadOf(
   const geometry_msgs::msg::Point & target_point, const geometry_msgs::msg::Pose & base_pose)
 {
   const auto longitudinal_deviation =
-    tier4_autoware_utils::calcLongitudinalDeviation(base_pose, target_point);
+    autoware::universe_utils::calcLongitudinalDeviation(base_pose, target_point);
   const bool is_ahead = longitudinal_deviation > 0;
   return is_ahead;
 }
@@ -136,7 +136,7 @@ pcl::PointCloud<pcl::PointXYZ> extractObstaclePointsWithinPolygon(
   pcl::PointCloud<pcl::PointXYZ> output_points;
   output_points.header = input_points.header;
   for (const auto & poly : polys) {
-    const auto bounding_box = bg::return_envelope<tier4_autoware_utils::Box2d>(poly);
+    const auto bounding_box = bg::return_envelope<autoware::universe_utils::Box2d>(poly);
     for (const auto & p : input_points) {
       Point2d point(p.x, p.y);
 
@@ -165,8 +165,9 @@ std::vector<pcl::PointCloud<pcl::PointXYZ>> groupPointsWithNearestSegmentIndex(
   points_with_index.resize(path_points.size());
 
   for (const auto & p : input_points.points) {
-    const auto ros_point = tier4_autoware_utils::createPoint(p.x, p.y, p.z);
-    const size_t nearest_seg_idx = motion_utils::findNearestSegmentIndex(path_points, ros_point);
+    const auto ros_point = autoware::universe_utils::createPoint(p.x, p.y, p.z);
+    const size_t nearest_seg_idx =
+      autoware::motion_utils::findNearestSegmentIndex(path_points, ros_point);
 
     // if the point is ahead of end of the path, index should be path.size() - 1
     if (
@@ -188,10 +189,10 @@ pcl::PointXYZ calculateLateralNearestPoint(
 {
   const auto lateral_nearest_point = std::min_element(
     input_points.points.begin(), input_points.points.end(), [&](const auto & p1, const auto & p2) {
-      const auto lateral_deviation_p1 = std::abs(tier4_autoware_utils::calcLateralDeviation(
-        base_pose, tier4_autoware_utils::createPoint(p1.x, p1.y, 0)));
-      const auto lateral_deviation_p2 = std::abs(tier4_autoware_utils::calcLateralDeviation(
-        base_pose, tier4_autoware_utils::createPoint(p2.x, p2.y, 0)));
+      const auto lateral_deviation_p1 = std::abs(autoware::universe_utils::calcLateralDeviation(
+        base_pose, autoware::universe_utils::createPoint(p1.x, p1.y, 0)));
+      const auto lateral_deviation_p2 = std::abs(autoware::universe_utils::calcLateralDeviation(
+        base_pose, autoware::universe_utils::createPoint(p2.x, p2.y, 0)));
 
       return lateral_deviation_p1 < lateral_deviation_p2;
     });
@@ -266,7 +267,7 @@ pcl::PointCloud<pcl::PointXYZ> transformPointCloud(
   pcl::PointCloud<pcl::PointXYZ> pointcloud_pcl;
   pcl::fromROSMsg(input_pointcloud, pointcloud_pcl);
   pcl::PointCloud<pcl::PointXYZ> pointcloud_pcl_transformed;
-  tier4_autoware_utils::transformPointCloud(
+  autoware::universe_utils::transformPointCloud(
     pointcloud_pcl, pointcloud_pcl_transformed, transform_matrix);
 
   return pointcloud_pcl_transformed;
@@ -365,8 +366,8 @@ std::vector<DynamicObstacle> DynamicObstacleCreatorForObject::createDynamicObsta
     dynamic_obstacle.pose = predicted_object.kinematics.initial_pose_with_covariance.pose;
 
     if (param_.assume_fixed_velocity) {
-      dynamic_obstacle.min_velocity_mps = tier4_autoware_utils::kmph2mps(param_.min_vel_kmph);
-      dynamic_obstacle.max_velocity_mps = tier4_autoware_utils::kmph2mps(param_.max_vel_kmph);
+      dynamic_obstacle.min_velocity_mps = autoware::universe_utils::kmph2mps(param_.min_vel_kmph);
+      dynamic_obstacle.max_velocity_mps = autoware::universe_utils::kmph2mps(param_.max_vel_kmph);
     } else {
       calculateMinAndMaxVelFromCovariance(
         predicted_object.kinematics.initial_twist_with_covariance, param_.std_dev_multiplier,
@@ -408,8 +409,8 @@ std::vector<DynamicObstacle> DynamicObstacleCreatorForObjectWithoutPath::createD
     dynamic_obstacle.pose.orientation = createQuaternionFacingToTrajectory(
       dynamic_obstacle_data_.path.points, dynamic_obstacle.pose.position);
 
-    dynamic_obstacle.min_velocity_mps = tier4_autoware_utils::kmph2mps(param_.min_vel_kmph);
-    dynamic_obstacle.max_velocity_mps = tier4_autoware_utils::kmph2mps(param_.max_vel_kmph);
+    dynamic_obstacle.min_velocity_mps = autoware::universe_utils::kmph2mps(param_.min_vel_kmph);
+    dynamic_obstacle.max_velocity_mps = autoware::universe_utils::kmph2mps(param_.max_vel_kmph);
     dynamic_obstacle.classifications = predicted_object.classification;
     dynamic_obstacle.shape = predicted_object.shape;
 
@@ -467,12 +468,13 @@ std::vector<DynamicObstacle> DynamicObstacleCreatorForPoints::createDynamicObsta
     DynamicObstacle dynamic_obstacle;
 
     // create pose facing the direction of the lane
-    dynamic_obstacle.pose.position = tier4_autoware_utils::createPoint(point.x, point.y, point.z);
+    dynamic_obstacle.pose.position =
+      autoware::universe_utils::createPoint(point.x, point.y, point.z);
     dynamic_obstacle.pose.orientation = createQuaternionFacingToTrajectory(
       dynamic_obstacle_data_.path.points, dynamic_obstacle.pose.position);
 
-    dynamic_obstacle.min_velocity_mps = tier4_autoware_utils::kmph2mps(param_.min_vel_kmph);
-    dynamic_obstacle.max_velocity_mps = tier4_autoware_utils::kmph2mps(param_.max_vel_kmph);
+    dynamic_obstacle.min_velocity_mps = autoware::universe_utils::kmph2mps(param_.min_vel_kmph);
+    dynamic_obstacle.max_velocity_mps = autoware::universe_utils::kmph2mps(param_.max_vel_kmph);
 
     // create classification of points as pedestrian
     ObjectClassification classification;
@@ -493,7 +495,7 @@ std::vector<DynamicObstacle> DynamicObstacleCreatorForPoints::createDynamicObsta
       param_.max_prediction_time);
     predicted_path.confidence = 1.0;
     dynamic_obstacle.predicted_paths.emplace_back(predicted_path);
-    dynamic_obstacle.uuid = tier4_autoware_utils::generateUUID();
+    dynamic_obstacle.uuid = autoware::universe_utils::generateUUID();
     dynamic_obstacles.emplace_back(dynamic_obstacle);
   }
 
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp
similarity index 96%
rename from planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp
index 8fb79fb9d8eaa..c1d59794a30fe 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/dynamic_obstacle.hpp
@@ -18,9 +18,9 @@
 #include "debug.hpp"
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/path_utilization.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/path_utilization.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_run_out_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.cpp
index 4da58522165d6..f2261aa8f4640 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.cpp
@@ -14,7 +14,7 @@
 
 #include "manager.hpp"
 
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <string>
 #include <utility>
@@ -22,7 +22,7 @@
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::getOrDeclareParameter;
+using autoware::universe_utils::getOrDeclareParameter;
 RunOutModuleManager::RunOutModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
 {
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_run_out_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.hpp
index 8cdb17e21d74b..131ba32f32100 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 
 #include <memory>
 
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/path_utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/path_utils.cpp
similarity index 89%
rename from planning/autoware_behavior_velocity_run_out_module/src/path_utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/path_utils.cpp
index 346a10646e6bc..2196cdec36886 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/path_utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/path_utils.cpp
@@ -14,7 +14,7 @@
 
 #include "path_utils.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 namespace autoware::behavior_velocity_planner::run_out_utils
 {
 geometry_msgs::msg::Point findLongitudinalNearestPoint(
@@ -26,7 +26,7 @@ geometry_msgs::msg::Point findLongitudinalNearestPoint(
   geometry_msgs::msg::Point min_dist_point{};
 
   for (const auto & p : target_points) {
-    const float dist = motion_utils::calcSignedArcLength(points, src_point, p);
+    const float dist = autoware::motion_utils::calcSignedArcLength(points, src_point, p);
     if (dist < min_dist) {
       min_dist = dist;
       min_dist_point = p;
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/path_utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/path_utils.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/src/path_utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/path_utils.hpp
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_run_out_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.cpp
index e04814eba48f0..4cede13e56469 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.cpp
@@ -14,15 +14,15 @@
 
 #include "scene.hpp"
 
-#include "autoware_behavior_velocity_crosswalk_module/util.hpp"
+#include "autoware/behavior_velocity_crosswalk_module/util.hpp"
 #include "path_utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/trajectory_utils.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include <boost/geometry/algorithms/intersection.hpp>
 #include <boost/geometry/algorithms/within.hpp>
@@ -177,7 +177,7 @@ bool RunOutModule::modifyPathVelocity(
       insertStopPoint(last_stop_point_, *path);
       // debug
       debug_ptr_->setAccelReason(RunOutDebug::AccelReason::STOP);
-      debug_ptr_->pushStopPose(tier4_autoware_utils::calcOffsetPose(
+      debug_ptr_->pushStopPose(autoware::universe_utils::calcOffsetPose(
         *last_stop_point_, planner_param_.vehicle_param.base_to_front, 0, 0));
     }
   }
@@ -222,7 +222,7 @@ std::optional<DynamicObstacle> RunOutModule::detectCollision(
     const auto & p2 = path.points.at(idx).point;
     const float prev_vel =
       std::max(p1.longitudinal_velocity_mps, planner_param_.run_out.min_vel_ego_kmph / 3.6f);
-    const float ds = tier4_autoware_utils::calcDistance2d(p1, p2);
+    const float ds = autoware::universe_utils::calcDistance2d(p1, p2);
 
     // calculate travel time from nearest point to p2
     travel_time += ds / prev_vel;
@@ -272,10 +272,10 @@ std::optional<DynamicObstacle> RunOutModule::findNearestCollisionObstacle(
   std::sort(
     dynamic_obstacles.begin(), dynamic_obstacles.end(),
     [&path, &base_pose](const auto & lhs, const auto & rhs) -> bool {
-      const auto dist_lhs =
-        motion_utils::calcSignedArcLength(path.points, base_pose.position, lhs.pose.position);
-      const auto dist_rhs =
-        motion_utils::calcSignedArcLength(path.points, base_pose.position, rhs.pose.position);
+      const auto dist_lhs = autoware::motion_utils::calcSignedArcLength(
+        path.points, base_pose.position, lhs.pose.position);
+      const auto dist_rhs = autoware::motion_utils::calcSignedArcLength(
+        path.points, base_pose.position, rhs.pose.position);
 
       return dist_lhs < dist_rhs;
     });
@@ -316,10 +316,10 @@ std::optional<DynamicObstacle> RunOutModule::findNearestCollisionObstacle(
 float RunOutModule::calcCollisionPositionOfVehicleSide(
   const geometry_msgs::msg::Point & point, const geometry_msgs::msg::Pose & base_pose) const
 {
-  const auto vehicle_front_pose = tier4_autoware_utils::calcOffsetPose(
+  const auto vehicle_front_pose = autoware::universe_utils::calcOffsetPose(
     base_pose, planner_param_.vehicle_param.base_to_front, 0, 0);
   const auto longitudinal_offset_from_front =
-    std::abs(tier4_autoware_utils::calcLongitudinalDeviation(vehicle_front_pose, point));
+    std::abs(autoware::universe_utils::calcLongitudinalDeviation(vehicle_front_pose, point));
 
   return longitudinal_offset_from_front;
 }
@@ -341,7 +341,7 @@ std::vector<geometry_msgs::msg::Point> RunOutModule::createVehiclePolygon(
   const double base_to_left =
     (planner_param_.vehicle_param.wheel_tread / 2.0) + planner_param_.vehicle_param.left_overhang;
 
-  using tier4_autoware_utils::calcOffsetPose;
+  using autoware::universe_utils::calcOffsetPose;
   const auto p1 = calcOffsetPose(base_pose, base_to_front, base_to_left, 0.0);
   const auto p2 = calcOffsetPose(base_pose, base_to_front, -base_to_right, 0.0);
   const auto p3 = calcOffsetPose(base_pose, -base_to_rear, -base_to_right, 0.0);
@@ -359,8 +359,8 @@ std::vector<geometry_msgs::msg::Point> RunOutModule::createVehiclePolygon(
 std::vector<DynamicObstacle> RunOutModule::excludeObstaclesOnEgoPath(
   const std::vector<DynamicObstacle> & dynamic_obstacles, const PathWithLaneId & path)
 {
-  using motion_utils::findNearestIndex;
-  using tier4_autoware_utils::calcOffsetPose;
+  using autoware::motion_utils::findNearestIndex;
+  using autoware::universe_utils::calcOffsetPose;
   if (!planner_param_.run_out.exclude_obstacles_already_in_path || path.points.empty()) {
     return dynamic_obstacles;
   }
@@ -379,18 +379,18 @@ std::vector<DynamicObstacle> RunOutModule::excludeObstaclesOnEgoPath(
     }
     const auto object_position = o.pose.position;
     const auto closest_ego_pose = path.points.at(*idx).point.pose;
-    const auto vehicle_left_pose =
-      tier4_autoware_utils::calcOffsetPose(closest_ego_pose, 0, vehicle_with_with_margin_halved, 0);
-    const auto vehicle_right_pose = tier4_autoware_utils::calcOffsetPose(
+    const auto vehicle_left_pose = autoware::universe_utils::calcOffsetPose(
+      closest_ego_pose, 0, vehicle_with_with_margin_halved, 0);
+    const auto vehicle_right_pose = autoware::universe_utils::calcOffsetPose(
       closest_ego_pose, 0, -vehicle_with_with_margin_halved, 0);
     const double signed_distance_from_left =
-      tier4_autoware_utils::calcLateralDeviation(vehicle_left_pose, object_position);
+      autoware::universe_utils::calcLateralDeviation(vehicle_left_pose, object_position);
     const double signed_distance_from_right =
-      tier4_autoware_utils::calcLateralDeviation(vehicle_right_pose, object_position);
+      autoware::universe_utils::calcLateralDeviation(vehicle_right_pose, object_position);
 
     // If object is outside of the ego path, include it in list of possible target objects
     // It is also deleted from the path of objects inside ego path
-    const auto obstacle_uuid_hex = tier4_autoware_utils::toHexString(o.uuid);
+    const auto obstacle_uuid_hex = autoware::universe_utils::toHexString(o.uuid);
     if (signed_distance_from_left > 0.0 || signed_distance_from_right < 0.0) {
       obstacles_outside_of_path.push_back(o);
       obstacle_in_ego_path_times_.erase(obstacle_uuid_hex);
@@ -482,7 +482,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcPredictedObstaclePose(
     const auto & p1 = predicted_path.at(i - 1);
     const auto & p2 = predicted_path.at(i);
 
-    const float ds = tier4_autoware_utils::calcDistance2d(p1, p2);
+    const float ds = autoware::universe_utils::calcDistance2d(p1, p2);
     const float dt = ds / velocity_mps;
 
     // apply linear interpolation between the predicted path points
@@ -555,7 +555,7 @@ bool RunOutModule::checkCollisionWithCylinder(
     run_out_utils::createBoostPolyFromMsg(bounding_box_for_points);
 
   // check collision with 2d polygon
-  std::vector<tier4_autoware_utils::Point2d> collision_points_bg;
+  std::vector<autoware::universe_utils::Point2d> collision_points_bg;
   bg::intersection(vehicle_polygon, bg_bounding_box_for_points, collision_points_bg);
 
   // no collision detected
@@ -568,7 +568,7 @@ bool RunOutModule::checkCollisionWithCylinder(
   debug_ptr_->pushCollisionObstaclePolygons(bounding_box_for_points);
   for (const auto & p : collision_points_bg) {
     const auto p_msg =
-      tier4_autoware_utils::createPoint(p.x(), p.y(), pose_with_range.pose_min.position.z);
+      autoware::universe_utils::createPoint(p.x(), p.y(), pose_with_range.pose_min.position.z);
     collision_points.emplace_back(p_msg);
   }
 
@@ -581,30 +581,30 @@ std::vector<geometry_msgs::msg::Point> RunOutModule::createBoundingBoxForRangedP
   const PoseWithRange & pose_with_range, const float x_offset, const float y_offset) const
 {
   const auto dist_p1_p2 =
-    tier4_autoware_utils::calcDistance2d(pose_with_range.pose_min, pose_with_range.pose_max);
+    autoware::universe_utils::calcDistance2d(pose_with_range.pose_min, pose_with_range.pose_max);
 
   geometry_msgs::msg::Pose p_min_to_p_max;
   if (dist_p1_p2 < std::numeric_limits<double>::epsilon()) {
     // can't calculate the angle if two points are the same
     p_min_to_p_max = pose_with_range.pose_min;
   } else {
-    const auto azimuth_angle = tier4_autoware_utils::calcAzimuthAngle(
+    const auto azimuth_angle = autoware::universe_utils::calcAzimuthAngle(
       pose_with_range.pose_min.position, pose_with_range.pose_max.position);
     p_min_to_p_max.position = pose_with_range.pose_min.position;
-    p_min_to_p_max.orientation = tier4_autoware_utils::createQuaternionFromYaw(azimuth_angle);
+    p_min_to_p_max.orientation = autoware::universe_utils::createQuaternionFromYaw(azimuth_angle);
   }
 
   std::vector<geometry_msgs::msg::Point> poly;
   poly.emplace_back(
-    tier4_autoware_utils::calcOffsetPose(p_min_to_p_max, dist_p1_p2 + x_offset, y_offset, 0.0)
+    autoware::universe_utils::calcOffsetPose(p_min_to_p_max, dist_p1_p2 + x_offset, y_offset, 0.0)
       .position);
   poly.emplace_back(
-    tier4_autoware_utils::calcOffsetPose(p_min_to_p_max, dist_p1_p2 + x_offset, -y_offset, 0.0)
+    autoware::universe_utils::calcOffsetPose(p_min_to_p_max, dist_p1_p2 + x_offset, -y_offset, 0.0)
       .position);
   poly.emplace_back(
-    tier4_autoware_utils::calcOffsetPose(p_min_to_p_max, -x_offset, -y_offset, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(p_min_to_p_max, -x_offset, -y_offset, 0.0).position);
   poly.emplace_back(
-    tier4_autoware_utils::calcOffsetPose(p_min_to_p_max, -x_offset, y_offset, 0.0).position);
+    autoware::universe_utils::calcOffsetPose(p_min_to_p_max, -x_offset, y_offset, 0.0).position);
 
   return poly;
 }
@@ -620,7 +620,7 @@ bool RunOutModule::checkCollisionWithBoundingBox(
   const auto bg_bounding_box = run_out_utils::createBoostPolyFromMsg(bounding_box);
 
   // check collision with 2d polygon
-  std::vector<tier4_autoware_utils::Point2d> collision_points_bg;
+  std::vector<autoware::universe_utils::Point2d> collision_points_bg;
   bg::intersection(vehicle_polygon, bg_bounding_box, collision_points_bg);
 
   // no collision detected
@@ -633,7 +633,7 @@ bool RunOutModule::checkCollisionWithBoundingBox(
   debug_ptr_->pushCollisionObstaclePolygons(bounding_box);
   for (const auto & p : collision_points_bg) {
     const auto p_msg =
-      tier4_autoware_utils::createPoint(p.x(), p.y(), pose_with_range.pose_min.position.z);
+      autoware::universe_utils::createPoint(p.x(), p.y(), pose_with_range.pose_min.position.z);
     collision_points.emplace_back(p_msg);
   }
 
@@ -658,7 +658,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
   }
 
   // calculate distance to collision with the obstacle
-  const float dist_to_collision_point = motion_utils::calcSignedArcLength(
+  const float dist_to_collision_point = autoware::motion_utils::calcSignedArcLength(
     path.points, current_pose.position, dynamic_obstacle->nearest_collision_point);
   const float dist_to_collision =
     dist_to_collision_point - planner_param_.vehicle_param.base_to_front;
@@ -669,7 +669,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
     // calculate the stop point for base link
     const float base_to_collision_point =
       planner_param_.run_out.stop_margin + planner_param_.vehicle_param.base_to_front;
-    const auto stop_point = motion_utils::calcLongitudinalOffsetPose(
+    const auto stop_point = autoware::motion_utils::calcLongitudinalOffsetPose(
       path.points, dynamic_obstacle->nearest_collision_point, -base_to_collision_point, false);
     if (!stop_point) {
       RCLCPP_WARN_STREAM(logger_, "failed to calculate stop point.");
@@ -678,7 +678,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
 
     // debug
     debug_ptr_->setAccelReason(RunOutDebug::AccelReason::STOP);
-    debug_ptr_->pushStopPose(tier4_autoware_utils::calcOffsetPose(
+    debug_ptr_->pushStopPose(autoware::universe_utils::calcOffsetPose(
       *stop_point, planner_param_.vehicle_param.base_to_front, 0, 0));
 
     return stop_point;
@@ -691,7 +691,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
   const float planning_dec = jerk_dec < planner_param_.common.normal_min_jerk
                                ? planner_param_.common.limit_min_acc
                                : planner_param_.common.normal_min_acc;
-  auto stop_dist = motion_utils::calcDecelDistWithJerkAndAccConstraints(
+  auto stop_dist = autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
     current_vel, target_vel, current_acc, planning_dec, jerk_acc, jerk_dec);
   if (!stop_dist) {
     RCLCPP_WARN_STREAM(logger_, "failed to calculate stop distance.");
@@ -727,7 +727,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
   // calculate the stop point for base link
   const float base_to_collision_point =
     planner_param_.run_out.stop_margin + planner_param_.vehicle_param.base_to_front;
-  const auto stop_point = motion_utils::calcLongitudinalOffsetPose(
+  const auto stop_point = autoware::motion_utils::calcLongitudinalOffsetPose(
     path.points, dynamic_obstacle->nearest_collision_point, -base_to_collision_point, false);
   if (!stop_point) {
     RCLCPP_WARN_STREAM(logger_, "failed to calculate stop point.");
@@ -736,7 +736,7 @@ std::optional<geometry_msgs::msg::Pose> RunOutModule::calcStopPoint(
 
   // debug
   debug_ptr_->setAccelReason(RunOutDebug::AccelReason::STOP);
-  debug_ptr_->pushStopPose(tier4_autoware_utils::calcOffsetPose(
+  debug_ptr_->pushStopPose(autoware::universe_utils::calcOffsetPose(
     *stop_point, planner_param_.vehicle_param.base_to_front, 0, 0));
 
   return stop_point;
@@ -754,7 +754,7 @@ bool RunOutModule::insertStopPoint(
 
   // find nearest point index behind the stop point
   const auto nearest_seg_idx =
-    motion_utils::findNearestSegmentIndex(path.points, stop_point->position);
+    autoware::motion_utils::findNearestSegmentIndex(path.points, stop_point->position);
   auto insert_idx = nearest_seg_idx + 1;
 
   // if stop point is ahead of the end of the path, don't insert
@@ -788,7 +788,7 @@ void RunOutModule::insertVelocityForState(
   state_input.current_velocity = current_vel;
   state_input.current_obstacle = dynamic_obstacle;
   state_input.dist_to_collision =
-    motion_utils::calcSignedArcLength(
+    autoware::motion_utils::calcSignedArcLength(
       smoothed_path.points, current_pose.position, dynamic_obstacle->nearest_collision_point) -
     planner_param.vehicle_param.base_to_front;
 
@@ -857,14 +857,14 @@ void RunOutModule::insertApproachingVelocity(
 {
   // insert slow down velocity from nearest segment point
   const auto nearest_seg_idx =
-    motion_utils::findNearestSegmentIndex(output_path.points, current_pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(output_path.points, current_pose.position);
   run_out_utils::insertPathVelocityFromIndexLimited(
     nearest_seg_idx, approaching_vel, output_path.points);
 
   // calculate stop point to insert 0 velocity
   const float base_to_collision_point =
     approach_margin + planner_param_.vehicle_param.base_to_front;
-  const auto stop_point = motion_utils::calcLongitudinalOffsetPose(
+  const auto stop_point = autoware::motion_utils::calcLongitudinalOffsetPose(
     output_path.points, dynamic_obstacle.nearest_collision_point, -base_to_collision_point, false);
   if (!stop_point) {
     RCLCPP_WARN_STREAM(logger_, "failed to calculate stop point.");
@@ -872,11 +872,11 @@ void RunOutModule::insertApproachingVelocity(
   }
 
   // debug
-  debug_ptr_->pushStopPose(tier4_autoware_utils::calcOffsetPose(
+  debug_ptr_->pushStopPose(autoware::universe_utils::calcOffsetPose(
     *stop_point, planner_param_.vehicle_param.base_to_front, 0, 0));
 
   const auto nearest_seg_idx_stop =
-    motion_utils::findNearestSegmentIndex(output_path.points, stop_point->position);
+    autoware::motion_utils::findNearestSegmentIndex(output_path.points, stop_point->position);
   auto insert_idx_stop = nearest_seg_idx_stop + 1;
 
   // to PathPointWithLaneId
@@ -899,7 +899,7 @@ void RunOutModule::applyMaxJerkLimit(
 
   const auto stop_point = path.points.at(stop_point_idx.value()).point.pose.position;
   const auto dist_to_stop_point =
-    motion_utils::calcSignedArcLength(path.points, current_pose.position, stop_point);
+    autoware::motion_utils::calcSignedArcLength(path.points, current_pose.position, stop_point);
 
   // calculate desired velocity with limited jerk
   const auto jerk_limited_vel = planning_utils::calcDecelerationVelocityFromDistanceToTarget(
@@ -982,15 +982,15 @@ void RunOutModule::publishDebugValue(
   const geometry_msgs::msg::Pose & current_pose) const
 {
   if (dynamic_obstacle) {
-    const auto lateral_dist =
-      std::abs(motion_utils::calcLateralOffset(path.points, dynamic_obstacle->pose.position)) -
-      planner_param_.vehicle_param.width / 2.0;
+    const auto lateral_dist = std::abs(autoware::motion_utils::calcLateralOffset(
+                                path.points, dynamic_obstacle->pose.position)) -
+                              planner_param_.vehicle_param.width / 2.0;
     const auto longitudinal_dist_to_obstacle =
-      motion_utils::calcSignedArcLength(
+      autoware::motion_utils::calcSignedArcLength(
         path.points, current_pose.position, dynamic_obstacle->pose.position) -
       planner_param_.vehicle_param.base_to_front;
 
-    const float dist_to_collision_point = motion_utils::calcSignedArcLength(
+    const float dist_to_collision_point = autoware::motion_utils::calcSignedArcLength(
       path.points, current_pose.position, dynamic_obstacle->nearest_collision_point);
     const auto dist_to_collision =
       dist_to_collision_point - planner_param_.vehicle_param.base_to_front;
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.hpp
similarity index 98%
rename from planning/autoware_behavior_velocity_run_out_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.hpp
index e3fd30a4e36ce..1922cba9257ab 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/scene.hpp
@@ -21,7 +21,7 @@
 #include "state_machine.hpp"
 #include "utils.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 
 #include <memory>
 #include <optional>
@@ -52,7 +52,7 @@ class RunOutModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
   void setPlannerParam(const PlannerParam & planner_param);
 
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/state_machine.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/state_machine.cpp
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/src/state_machine.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/state_machine.cpp
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/state_machine.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/state_machine.hpp
similarity index 100%
rename from planning/autoware_behavior_velocity_run_out_module/src/state_machine.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/state_machine.hpp
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/utils.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.cpp
similarity index 88%
rename from planning/autoware_behavior_velocity_run_out_module/src/utils.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.cpp
index ed745cbb92679..537d647883ad4 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/utils.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.cpp
@@ -14,8 +14,8 @@
 
 #include "utils.hpp"
 
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/trajectory/path_with_lane_id.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/trajectory/path_with_lane_id.hpp>
 
 #include <boost/geometry/algorithms/correct.hpp>
 #include <boost/geometry/algorithms/intersects.hpp>
@@ -31,8 +31,8 @@
 #else
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 namespace autoware::behavior_velocity_planner
 {
 namespace run_out_utils
@@ -101,13 +101,15 @@ std::vector<geometry_msgs::msg::Point> findLateralSameSidePoints(
   const std::vector<geometry_msgs::msg::Point> & points, const geometry_msgs::msg::Pose & base_pose,
   const geometry_msgs::msg::Point & target_point)
 {
-  const auto signed_deviation = tier4_autoware_utils::calcLateralDeviation(base_pose, target_point);
+  const auto signed_deviation =
+    autoware::universe_utils::calcLateralDeviation(base_pose, target_point);
   RCLCPP_DEBUG_STREAM(
     rclcpp::get_logger("findLateralSameSidePoints"), "signed dev of target: " << signed_deviation);
 
   std::vector<geometry_msgs::msg::Point> same_side_points;
   for (const auto & p : points) {
-    const auto signed_deviation_of_point = tier4_autoware_utils::calcLateralDeviation(base_pose, p);
+    const auto signed_deviation_of_point =
+      autoware::universe_utils::calcLateralDeviation(base_pose, p);
     RCLCPP_DEBUG_STREAM(
       rclcpp::get_logger("findLateralSameSidePoints"),
       "signed dev of point: " << signed_deviation_of_point);
@@ -125,7 +127,7 @@ std::vector<geometry_msgs::msg::Point> findLateralSameSidePoints(
 
 bool isSamePoint(const geometry_msgs::msg::Point & p1, const geometry_msgs::msg::Point & p2)
 {
-  if (tier4_autoware_utils::calcDistance2d(p1, p2) < std::numeric_limits<float>::epsilon()) {
+  if (autoware::universe_utils::calcDistance2d(p1, p2) < std::numeric_limits<float>::epsilon()) {
     return true;
   }
 
@@ -182,15 +184,15 @@ bool pathIntersectsEgoCutLine(
 {
   if (path.size() < 2) return false;
   const auto p1 =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, 0.0, half_line_length, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(ego_pose, 0.0, half_line_length, 0.0).position;
   const auto p2 =
-    tier4_autoware_utils::calcOffsetPose(ego_pose, 0.0, -half_line_length, 0.0).position;
+    autoware::universe_utils::calcOffsetPose(ego_pose, 0.0, -half_line_length, 0.0).position;
   ego_cut_line = {p1, p2};
 
   for (size_t i = 1; i < path.size(); ++i) {
     const auto & p3 = path.at(i).position;
     const auto & p4 = path.at(i - 1).position;
-    const auto intersection = tier4_autoware_utils::intersect(p1, p2, p3, p4);
+    const auto intersection = autoware::universe_utils::intersect(p1, p2, p3, p4);
     if (intersection.has_value()) {
       return true;
     }
@@ -216,7 +218,7 @@ std::vector<DynamicObstacle> excludeObstaclesOutSideOfLine(
   std::vector<DynamicObstacle> extracted_dynamic_obstacle;
   for (const auto & obstacle : dynamic_obstacles) {
     const auto obstacle_nearest_idx =
-      motion_utils::findNearestIndex(path_points, obstacle.pose.position);
+      autoware::motion_utils::findNearestIndex(path_points, obstacle.pose.position);
     const auto & obstacle_nearest_path_point =
       path_points.at(obstacle_nearest_idx).point.pose.position;
 
@@ -253,7 +255,7 @@ PathPointsWithLaneId decimatePathPoints(
   for (size_t i = 1; i < input_path_points.size(); i++) {
     const auto p1 = input_path_points.at(i - 1);
     const auto p2 = input_path_points.at(i);
-    const auto dist = tier4_autoware_utils::calcDistance2d(p1, p2);
+    const auto dist = autoware::universe_utils::calcDistance2d(p1, p2);
     dist_sum += dist;
 
     if (dist_sum > step) {
@@ -270,7 +272,8 @@ PathWithLaneId trimPathFromSelfPose(
   const PathWithLaneId & input, const geometry_msgs::msg::Pose & self_pose,
   const double trim_distance)
 {
-  const size_t nearest_idx = motion_utils::findNearestIndex(input.points, self_pose.position);
+  const size_t nearest_idx =
+    autoware::motion_utils::findNearestIndex(input.points, self_pose.position);
 
   PathWithLaneId output{};
   output.header = input.header;
@@ -281,7 +284,8 @@ PathWithLaneId trimPathFromSelfPose(
     output.points.push_back(input.points.at(i));
 
     if (i != nearest_idx) {
-      dist_sum += tier4_autoware_utils::calcDistance2d(input.points.at(i - 1), input.points.at(i));
+      dist_sum +=
+        autoware::universe_utils::calcDistance2d(input.points.at(i - 1), input.points.at(i));
     }
 
     if (dist_sum > trim_distance) {
@@ -325,7 +329,7 @@ PathPointWithLaneId createExtendPathPoint(
 {
   PathPointWithLaneId extend_path_point = goal_point;
   extend_path_point.point.pose =
-    tier4_autoware_utils::calcOffsetPose(goal_point.point.pose, extend_distance, 0.0, 0.0);
+    autoware::universe_utils::calcOffsetPose(goal_point.point.pose, extend_distance, 0.0, 0.0);
   return extend_path_point;
 }
 
@@ -377,7 +381,7 @@ Polygons2d createDetectionAreaPolygon(
   const float jerk_acc = std::abs(jerk_dec);
   const float planning_dec =
     jerk_dec < pp.common.normal_min_jerk ? pp.common.limit_min_acc : pp.common.normal_min_acc;
-  auto stop_dist = motion_utils::calcDecelDistWithJerkAndAccConstraints(
+  auto stop_dist = autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
     initial_vel, target_vel, initial_acc, planning_dec, jerk_acc, jerk_dec);
 
   if (!stop_dist) {
@@ -397,9 +401,10 @@ Polygons2d createDetectionAreaPolygon(
   da_range.left_overhang = pp.vehicle_param.left_overhang;
   da_range.max_lateral_distance = obstacle_vel_mps * pp.dynamic_obstacle.max_prediction_time;
   Polygons2d detection_area_poly;
-  const size_t ego_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, pd.current_odometry->pose, pd.ego_nearest_dist_threshold,
-    pd.ego_nearest_yaw_threshold);
+  const size_t ego_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, pd.current_odometry->pose, pd.ego_nearest_dist_threshold,
+      pd.ego_nearest_yaw_threshold);
   planning_utils::createDetectionAreaPolygons(
     detection_area_poly, path, pd.current_odometry->pose, ego_seg_idx, da_range,
     pp.dynamic_obstacle.max_vel_kmph / 3.6);
@@ -421,7 +426,7 @@ Polygons2d createMandatoryDetectionAreaPolygon(
   const float jerk_acc = std::abs(jerk_dec);
   const float planning_dec =
     jerk_dec < pp.common.normal_min_jerk ? pp.common.limit_min_acc : pp.common.normal_min_acc;
-  auto stop_dist = motion_utils::calcDecelDistWithJerkAndAccConstraints(
+  auto stop_dist = autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
     initial_vel, target_vel, initial_acc, planning_dec, jerk_acc, jerk_dec);
 
   if (!stop_dist) {
@@ -439,9 +444,10 @@ Polygons2d createMandatoryDetectionAreaPolygon(
   da_range.left_overhang = pp.vehicle_param.left_overhang;
   da_range.max_lateral_distance = obstacle_vel_mps * pp.dynamic_obstacle.max_prediction_time;
   Polygons2d detection_area_poly;
-  const size_t ego_seg_idx = motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
-    path.points, pd.current_odometry->pose, pd.ego_nearest_dist_threshold,
-    pd.ego_nearest_yaw_threshold);
+  const size_t ego_seg_idx =
+    autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+      path.points, pd.current_odometry->pose, pd.ego_nearest_dist_threshold,
+      pd.ego_nearest_yaw_threshold);
   planning_utils::createDetectionAreaPolygons(
     detection_area_poly, path, pd.current_odometry->pose, ego_seg_idx, da_range,
     pp.dynamic_obstacle.max_vel_kmph / 3.6);
diff --git a/planning/autoware_behavior_velocity_run_out_module/src/utils.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.hpp
similarity index 95%
rename from planning/autoware_behavior_velocity_run_out_module/src/utils.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.hpp
index 90f8238d0d543..5f5b7206551ef 100644
--- a/planning/autoware_behavior_velocity_run_out_module/src/utils.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_run_out_module/src/utils.hpp
@@ -15,10 +15,10 @@
 #ifndef UTILS_HPP_
 #define UTILS_HPP_
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
-#include <autoware_behavior_velocity_planner_common/planner_data.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/planner_data.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
@@ -34,15 +34,15 @@ namespace autoware::behavior_velocity_planner
 namespace run_out_utils
 {
 namespace bg = boost::geometry;
+using autoware::universe_utils::Box2d;
+using autoware::universe_utils::LineString2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_perception_msgs::msg::ObjectClassification;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_perception_msgs::msg::Shape;
 using autoware_planning_msgs::msg::PathPoint;
-using tier4_autoware_utils::Box2d;
-using tier4_autoware_utils::LineString2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 using tier4_debug_msgs::msg::Float32Stamped;
 using tier4_planning_msgs::msg::PathWithLaneId;
 using PathPointsWithLaneId = std::vector<tier4_planning_msgs::msg::PathPointWithLaneId>;
diff --git a/planning/autoware_behavior_velocity_stop_line_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_stop_line_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/README.md
diff --git a/planning/autoware_behavior_velocity_stop_line_module/config/stop_line.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/config/stop_line.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/config/stop_line.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/config/stop_line.param.yaml
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/calculate_stop_pose.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/calculate_stop_pose.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/calculate_stop_pose.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/calculate_stop_pose.drawio.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/find_collision_segment.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/find_collision_segment.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/find_collision_segment.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/find_collision_segment.drawio.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/find_offset_segment.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/find_offset_segment.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/find_offset_segment.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/find_offset_segment.drawio.svg
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/keep_stopping.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/keep_stopping.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/keep_stopping.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/keep_stopping.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/node_and_segment.drawio.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/node_and_segment.drawio.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/node_and_segment.drawio.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/node_and_segment.drawio.svg
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/restart.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/restart.svg
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart_prevention.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/restart_prevention.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart_prevention.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/restart_prevention.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/docs/stop_line.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/stop_line.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/docs/stop_line.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/docs/stop_line.svg
diff --git a/planning/autoware_behavior_velocity_stop_line_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/package.xml
similarity index 97%
rename from planning/autoware_behavior_velocity_stop_line_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/package.xml
index f463f89318ba8..5a4b897167520 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/package.xml
@@ -19,12 +19,12 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2_geometry_msgs</depend>
diff --git a/planning/autoware_behavior_velocity_stop_line_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_stop_line_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_stop_line_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/debug.cpp
similarity index 83%
rename from planning/autoware_behavior_velocity_stop_line_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/debug.cpp
index bfcd5a5828556..29295f41cdf04 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/debug.cpp
@@ -14,10 +14,10 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
 #else
@@ -26,9 +26,9 @@
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
 
 namespace
 {
@@ -96,16 +96,16 @@ visualization_msgs::msg::MarkerArray StopLineModule::createDebugMarkerArray()
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls StopLineModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls StopLineModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWalls virtual_walls;
 
   if (debug_data_.stop_pose && (state_ == State::APPROACH || state_ == State::STOPPED)) {
-    motion_utils::VirtualWall wall;
+    autoware::motion_utils::VirtualWall wall;
     wall.text = "stopline";
-    wall.style = motion_utils::VirtualWallType::stop;
+    wall.style = autoware::motion_utils::VirtualWallType::stop;
     wall.ns = std::to_string(module_id_) + "_";
-    wall.pose = tier4_autoware_utils::calcOffsetPose(
+    wall.pose = autoware::universe_utils::calcOffsetPose(
       *debug_data_.stop_pose, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
diff --git a/planning/autoware_behavior_velocity_stop_line_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_stop_line_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.cpp
index 80f48fa65efaf..97dcb88698868 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.cpp
@@ -14,7 +14,7 @@
 
 #include "manager.hpp"
 
-#include "tier4_autoware_utils/ros/parameter.hpp"
+#include "autoware/universe_utils/ros/parameter.hpp"
 
 #include <memory>
 #include <set>
@@ -23,8 +23,8 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::TrafficSign;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 StopLineModuleManager::StopLineModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/autoware_behavior_velocity_stop_line_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_stop_line_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.hpp
index eca5132a75c5f..2a008ce1700ab 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_stop_line_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_stop_line_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.cpp
index 1bf777338e43c..6075706a672d0 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.cpp
@@ -14,9 +14,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <algorithm>
 #include <vector>
@@ -73,7 +73,7 @@ bool StopLineModule::modifyPathVelocity(PathWithLaneId * path, StopReason * stop
   const size_t stop_line_seg_idx = planning_utils::calcSegmentIndexFromPointIndex(
     path->points, stop_pose.position, stop_point_idx);
   const size_t current_seg_idx = findEgoSegmentIndex(path->points);
-  const double signed_arc_dist_to_stop_point = motion_utils::calcSignedArcLength(
+  const double signed_arc_dist_to_stop_point = autoware::motion_utils::calcSignedArcLength(
     path->points, planner_data_->current_odometry->pose.position, current_seg_idx,
     stop_pose.position, stop_line_seg_idx);
   switch (state_) {
@@ -116,7 +116,7 @@ bool StopLineModule::modifyPathVelocity(PathWithLaneId * path, StopReason * stop
 
     case State::STOPPED: {
       // Change state after vehicle departure
-      const auto stopped_pose = motion_utils::calcLongitudinalOffsetPose(
+      const auto stopped_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
         path->points, planner_data_->current_odometry->pose.position, 0.0);
 
       if (!stopped_pose) {
diff --git a/planning/autoware_behavior_velocity_stop_line_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_stop_line_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.hpp
index 0ae0a885f036f..b6b81f224c7be 100644
--- a/planning/autoware_behavior_velocity_stop_line_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_stop_line_module/src/scene.hpp
@@ -24,9 +24,9 @@
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
 #include <Eigen/Geometry>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -86,7 +86,7 @@ class StopLineModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   std::shared_ptr<const rclcpp::Time> stopped_time_;
diff --git a/planning/autoware_behavior_velocity_template_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_template_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_template_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/README.md
similarity index 97%
rename from planning/autoware_behavior_velocity_template_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/README.md
index 130da3f919482..5300bb3b4b5c1 100644
--- a/planning/autoware_behavior_velocity_template_module/README.md
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/README.md
@@ -26,7 +26,7 @@ The `TemplateModule` class serves as a foundation for creating a scene module wi
 
 #### `createVirtualWalls` Method
 
-- The `createVirtualWalls` method creates virtual walls for the scene and returns them as `motion_utils::VirtualWalls`. In the provided code, it returns an empty `VirtualWalls` object.
+- The `createVirtualWalls` method creates virtual walls for the scene and returns them as `autoware::motion_utils::VirtualWalls`. In the provided code, it returns an empty `VirtualWalls` object.
 - You should implement the logic to create virtual walls based on your module's requirements.
 
 ## `Manager`
diff --git a/planning/autoware_behavior_velocity_template_module/config/template.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/config/template.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_template_module/config/template.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/config/template.param.yaml
diff --git a/planning/autoware_behavior_velocity_template_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/package.xml
similarity index 93%
rename from planning/autoware_behavior_velocity_template_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/package.xml
index dc7e57d421d1f..d4a7f35faef5d 100644
--- a/planning/autoware_behavior_velocity_template_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/package.xml
@@ -14,18 +14,18 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>sensor_msgs</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_behavior_velocity_template_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_template_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_template_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.cpp
similarity index 94%
rename from planning/autoware_behavior_velocity_template_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.cpp
index 8aaf6be9bbfe9..21c70ee41b8bf 100644
--- a/planning/autoware_behavior_velocity_template_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.cpp
@@ -14,8 +14,8 @@
 
 #include "manager.hpp"
 
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <tf2/utils.h>
 
@@ -28,7 +28,7 @@
 
 namespace autoware::behavior_velocity_planner
 {
-using tier4_autoware_utils::getOrDeclareParameter;
+using autoware::universe_utils::getOrDeclareParameter;
 
 TemplateModuleManager::TemplateModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/autoware_behavior_velocity_template_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.hpp
similarity index 93%
rename from planning/autoware_behavior_velocity_template_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.hpp
index b92913b2a95ce..a7a0d83be6368 100644
--- a/planning/autoware_behavior_velocity_template_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_template_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.cpp
similarity index 84%
rename from planning/autoware_behavior_velocity_template_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.cpp
index 644e59e6b3011..0394b0c9e381f 100644
--- a/planning/autoware_behavior_velocity_template_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.cpp
@@ -14,8 +14,8 @@
 
 #include "scene.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-// #include "tier4_autoware_utils/tier4_autoware_utils.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+// #include "autoware/universe_utils/autoware_universe_utils.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -36,9 +36,9 @@ visualization_msgs::msg::MarkerArray TemplateModule::createDebugMarkerArray()
   return ma;
 };
 
-motion_utils::VirtualWalls TemplateModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls TemplateModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls vw;
+  autoware::motion_utils::VirtualWalls vw;
   return vw;
 }
 
diff --git a/planning/autoware_behavior_velocity_template_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.hpp
similarity index 87%
rename from planning/autoware_behavior_velocity_template_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.hpp
index 0fc4e7dd9ae91..9789ee37aa669 100644
--- a/planning/autoware_behavior_velocity_template_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_template_module/src/scene.hpp
@@ -15,7 +15,7 @@
 #ifndef SCENE_HPP_
 #define SCENE_HPP_
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <utility>
@@ -57,11 +57,12 @@ class TemplateModule : public SceneModuleInterface
    * @brief Create virtual walls for the scene.
    *
    * This method is responsible for generating virtual walls for the scene and returning them as a
-   * `motion_utils::VirtualWalls` object.
+   * `autoware::motion_utils::VirtualWalls` object.
    *
-   * @return A `motion_utils::VirtualWalls` object representing virtual walls in the scene.
+   * @return A `autoware::motion_utils::VirtualWalls` object representing virtual walls in the
+   * scene.
    */
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 };
 
 }  // namespace autoware::behavior_velocity_planner
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/README.md
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/config/traffic_light.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/config/traffic_light.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/config/traffic_light.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/config/traffic_light.param.yaml
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/docs/crosswalk.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/crosswalk.png
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/docs/crosswalk.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/crosswalk.png
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/docs/traffic_light.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/traffic_light.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/docs/traffic_light.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/traffic_light.svg
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/docs/traffic_light_dilemma.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/traffic_light_dilemma.svg
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/docs/traffic_light_dilemma.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/docs/traffic_light_dilemma.svg
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/package.xml
similarity index 95%
rename from planning/autoware_behavior_velocity_traffic_light_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/package.xml
index 4d011050a8675..e385be9f9b2c4 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/package.xml
@@ -20,19 +20,19 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>traffic_light_utils</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_traffic_light_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/debug.cpp
similarity index 63%
rename from planning/autoware_behavior_velocity_traffic_light_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/debug.cpp
index 7ceded9c91934..d6d0505635079 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/debug.cpp
@@ -14,10 +14,10 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
 #else
@@ -32,22 +32,22 @@ visualization_msgs::msg::MarkerArray TrafficLightModule::createDebugMarkerArray(
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls TrafficLightModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls TrafficLightModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "traffic_light";
   wall.ns = std::to_string(module_id_) + "_";
 
-  wall.style = motion_utils::VirtualWallType::deadline;
+  wall.style = autoware::motion_utils::VirtualWallType::deadline;
   for (const auto & p : debug_data_.dead_line_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
 
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : debug_data_.stop_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
 
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.cpp
similarity index 97%
rename from planning/autoware_behavior_velocity_traffic_light_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.cpp
index ef5f8b2b36016..8f60f291131bd 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.cpp
@@ -14,8 +14,8 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <tf2/utils.h>
 
@@ -26,8 +26,8 @@
 #include <utility>
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::TrafficLight;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 TrafficLightModuleManager::TrafficLightModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterfaceWithRTC(
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.hpp
similarity index 91%
rename from planning/autoware_behavior_velocity_traffic_light_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.hpp
index c40056a0ba10c..eb8ef53ddb604 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.cpp
similarity index 98%
rename from planning/autoware_behavior_velocity_traffic_light_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.cpp
index 3ec597f1de249..7770a480f8401 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.cpp
@@ -14,8 +14,8 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <traffic_light_utils/traffic_light_utils.hpp>
 
 #include <boost/geometry/algorithms/distance.hpp>
@@ -210,7 +210,7 @@ bool TrafficLightModule::modifyPathVelocity(PathWithLaneId * path, StopReason *
   geometry_msgs::msg::Point stop_line_point_msg;
   stop_line_point_msg.x = stop_line_point.x();
   stop_line_point_msg.y = stop_line_point.y();
-  const double signed_arc_length_to_stop_point = motion_utils::calcSignedArcLength(
+  const double signed_arc_length_to_stop_point = autoware::motion_utils::calcSignedArcLength(
     input_path.points, self_pose->pose.position, stop_line_point_msg);
   setDistance(signed_arc_length_to_stop_point);
 
diff --git a/planning/autoware_behavior_velocity_traffic_light_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.hpp
similarity index 95%
rename from planning/autoware_behavior_velocity_traffic_light_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.hpp
index 220145a2c7163..387d6c1f23acf 100644
--- a/planning/autoware_behavior_velocity_traffic_light_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_traffic_light_module/src/scene.hpp
@@ -23,8 +23,8 @@
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
 #include <Eigen/Geometry>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/boost_geometry_helper.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -74,7 +74,7 @@ class TrafficLightModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
   inline TrafficSignal getTrafficSignal() const { return looking_tl_state_; }
 
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/README.md
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/config/virtual_traffic_light.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/config/virtual_traffic_light.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/config/virtual_traffic_light.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/config/virtual_traffic_light.param.yaml
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/V2X_support_traffic_light.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/V2X_support_traffic_light.png
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/V2X_support_traffic_light.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/V2X_support_traffic_light.png
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/intersection-coordination.png b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/intersection-coordination.png
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/docs/intersection-coordination.png
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/intersection-coordination.png
diff --git a/planning/behavior_velocity_detection_area_module/docs/keep_stopping.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/keep_stopping.svg
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/docs/keep_stopping.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/keep_stopping.svg
diff --git a/planning/behavior_velocity_detection_area_module/docs/restart.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart.svg
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/docs/restart.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart.svg
diff --git a/planning/behavior_velocity_detection_area_module/docs/restart_prevention.svg b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart_prevention.svg
similarity index 100%
rename from planning/behavior_velocity_detection_area_module/docs/restart_prevention.svg
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/docs/restart_prevention.svg
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/package.xml
index 7bec0b7fa9c01..690eff973a084 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/package.xml
@@ -18,16 +18,16 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
-  <depend>motion_utils</depend>
   <depend>nlohmann-json-dev</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>tier4_v2x_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp
similarity index 76%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp
index 2f389d5d1104f..1ad24cb48409d 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/debug.cpp
@@ -14,31 +14,31 @@
 
 #include "scene.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/math/constants.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerOrientation;
-using tier4_autoware_utils::createMarkerPosition;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::toMsg;
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/math/constants.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerOrientation;
+using autoware::universe_utils::createMarkerPosition;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::toMsg;
 using namespace std::literals::string_literals;
 
 namespace autoware::behavior_velocity_planner
 {
 namespace
 {
-[[maybe_unused]] tier4_autoware_utils::LinearRing3d createCircle(
-  const tier4_autoware_utils::Point3d & p, const double radius, const size_t num_points = 50)
+[[maybe_unused]] autoware::universe_utils::LinearRing3d createCircle(
+  const autoware::universe_utils::Point3d & p, const double radius, const size_t num_points = 50)
 {
-  tier4_autoware_utils::LinearRing3d ring;  // clockwise and closed
+  autoware::universe_utils::LinearRing3d ring;  // clockwise and closed
 
   for (size_t i = 0; i < num_points; ++i) {
-    const double theta = i * (2 * tier4_autoware_utils::pi / num_points);
+    const double theta = i * (2 * autoware::universe_utils::pi / num_points);
     const double x = p.x() + radius * std::sin(theta);
     const double y = p.y() + radius * std::cos(theta);
     ring.emplace_back(x, y, p.z());
@@ -51,13 +51,13 @@ namespace
 }
 }  // namespace
 
-motion_utils::VirtualWalls VirtualTrafficLightModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls VirtualTrafficLightModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "virtual_traffic_light";
   wall.ns = std::to_string(module_id_) + "_";
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   const auto & d = module_data_;
   // virtual_wall_stop_line
   std::vector<geometry_msgs::msg::Pose> wall_poses;
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp
similarity index 88%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp
index 69b91d11937a0..56f02529ddb3b 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.cpp
@@ -14,12 +14,12 @@
 
 #include "manager.hpp"
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <boost/geometry/algorithms/intersects.hpp>
 
@@ -33,8 +33,8 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::VirtualTrafficLight;
-using tier4_autoware_utils::getOrDeclareParameter;
 namespace planning_utils = autoware::behavior_velocity_planner::planning_utils;
 
 VirtualTrafficLightModuleManager::VirtualTrafficLightModuleManager(rclcpp::Node & node)
@@ -49,7 +49,7 @@ VirtualTrafficLightModuleManager::VirtualTrafficLightModuleManager(rclcpp::Node
     p.dead_line_margin = getOrDeclareParameter<double>(node, ns + ".dead_line_margin");
     p.hold_stop_margin_distance =
       getOrDeclareParameter<double>(node, ns + ".hold_stop_margin_distance");
-    p.max_yaw_deviation_rad = tier4_autoware_utils::deg2rad(
+    p.max_yaw_deviation_rad = autoware::universe_utils::deg2rad(
       getOrDeclareParameter<double>(node, ns + ".max_yaw_deviation_deg"));
     p.check_timeout_after_stop_line =
       getOrDeclareParameter<bool>(node, ns + ".check_timeout_after_stop_line");
@@ -59,10 +59,10 @@ VirtualTrafficLightModuleManager::VirtualTrafficLightModuleManager(rclcpp::Node
 void VirtualTrafficLightModuleManager::launchNewModules(
   const tier4_planning_msgs::msg::PathWithLaneId & path)
 {
-  tier4_autoware_utils::LineString2d ego_path_linestring;
+  autoware::universe_utils::LineString2d ego_path_linestring;
   for (const auto & path_point : path.points) {
     ego_path_linestring.push_back(
-      tier4_autoware_utils::fromMsg(path_point.point.pose.position).to_2d());
+      autoware::universe_utils::fromMsg(path_point.point.pose.position).to_2d());
   }
 
   for (const auto & m : planning_utils::getRegElemMapOnPath<VirtualTrafficLight>(
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp
index 6b0436a4290ac..ba5a4b23a6fe0 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp
similarity index 90%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp
index a87d8867adf7e..d27cc23223630 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.cpp
@@ -14,9 +14,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/arc_lane_util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <tier4_v2x_msgs/msg/key_value.hpp>
 
@@ -27,7 +27,7 @@ namespace autoware::behavior_velocity_planner
 {
 namespace
 {
-using tier4_autoware_utils::calcDistance2d;
+using autoware::universe_utils::calcDistance2d;
 
 struct SegmentIndexWithPoint
 {
@@ -46,16 +46,17 @@ tier4_v2x_msgs::msg::KeyValue createKeyValue(const std::string & key, const std:
   return tier4_v2x_msgs::build<tier4_v2x_msgs::msg::KeyValue>().key(key).value(value);
 }
 
-tier4_autoware_utils::LineString3d toAutowarePoints(const lanelet::ConstLineString3d & line_string)
+autoware::universe_utils::LineString3d toAutowarePoints(
+  const lanelet::ConstLineString3d & line_string)
 {
-  tier4_autoware_utils::LineString3d output;
+  autoware::universe_utils::LineString3d output;
   for (const auto & p : line_string) {
     output.emplace_back(p.x(), p.y(), p.z());
   }
   return output;
 }
 
-std::optional<tier4_autoware_utils::LineString3d> toAutowarePoints(
+std::optional<autoware::universe_utils::LineString3d> toAutowarePoints(
   const lanelet::Optional<lanelet::ConstLineString3d> & line_string)
 {
   if (!line_string) {
@@ -64,27 +65,28 @@ std::optional<tier4_autoware_utils::LineString3d> toAutowarePoints(
   return toAutowarePoints(*line_string);
 }
 
-std::vector<tier4_autoware_utils::LineString3d> toAutowarePoints(
+std::vector<autoware::universe_utils::LineString3d> toAutowarePoints(
   const lanelet::ConstLineStrings3d & line_strings)
 {
-  std::vector<tier4_autoware_utils::LineString3d> output;
+  std::vector<autoware::universe_utils::LineString3d> output;
   for (const auto & line_string : line_strings) {
     output.emplace_back(toAutowarePoints(line_string));
   }
   return output;
 }
 
-[[maybe_unused]] tier4_autoware_utils::LineString2d to_2d(
-  const tier4_autoware_utils::LineString3d & line_string)
+[[maybe_unused]] autoware::universe_utils::LineString2d to_2d(
+  const autoware::universe_utils::LineString3d & line_string)
 {
-  tier4_autoware_utils::LineString2d output;
+  autoware::universe_utils::LineString2d output;
   for (const auto & p : line_string) {
     output.emplace_back(p.x(), p.y());
   }
   return output;
 }
 
-tier4_autoware_utils::Point3d calcCenter(const tier4_autoware_utils::LineString3d & line_string)
+autoware::universe_utils::Point3d calcCenter(
+  const autoware::universe_utils::LineString3d & line_string)
 {
   const auto p1 = line_string.front();
   const auto p2 = line_string.back();
@@ -95,10 +97,10 @@ tier4_autoware_utils::Point3d calcCenter(const tier4_autoware_utils::LineString3
 geometry_msgs::msg::Pose calcHeadPose(
   const geometry_msgs::msg::Pose & base_link_pose, const double base_link_to_front)
 {
-  return tier4_autoware_utils::calcOffsetPose(base_link_pose, base_link_to_front, 0.0, 0.0);
+  return autoware::universe_utils::calcOffsetPose(base_link_pose, base_link_to_front, 0.0, 0.0);
 }
 
-geometry_msgs::msg::Point convertToGeomPoint(const tier4_autoware_utils::Point3d & p)
+geometry_msgs::msg::Point convertToGeomPoint(const autoware::universe_utils::Point3d & p)
 {
   geometry_msgs::msg::Point geom_p;
   geom_p.x = p.x();
@@ -109,7 +111,7 @@ geometry_msgs::msg::Point convertToGeomPoint(const tier4_autoware_utils::Point3d
 
 template <class T>
 std::optional<SegmentIndexWithPoint> findLastCollisionBeforeEndLine(
-  const T & points, const tier4_autoware_utils::LineString3d & target_line,
+  const T & points, const autoware::universe_utils::LineString3d & target_line,
   const size_t end_line_idx)
 {
   const auto target_line_p1 = convertToGeomPoint(target_line.at(0));
@@ -117,8 +119,8 @@ std::optional<SegmentIndexWithPoint> findLastCollisionBeforeEndLine(
 
   for (size_t i = end_line_idx; 0 < i;
        --i) {  // NOTE: size_t can be used since it will not be negative.
-    const auto & p1 = tier4_autoware_utils::getPoint(points.at(i));
-    const auto & p2 = tier4_autoware_utils::getPoint(points.at(i - 1));
+    const auto & p1 = autoware::universe_utils::getPoint(points.at(i));
+    const auto & p2 = autoware::universe_utils::getPoint(points.at(i - 1));
     const auto collision_point =
       arc_lane_utils::checkCollision(p1, p2, target_line_p1, target_line_p2);
 
@@ -132,7 +134,7 @@ std::optional<SegmentIndexWithPoint> findLastCollisionBeforeEndLine(
 
 template <class T>
 std::optional<SegmentIndexWithPoint> findLastCollisionBeforeEndLine(
-  const T & points, const std::vector<tier4_autoware_utils::LineString3d> & lines,
+  const T & points, const std::vector<autoware::universe_utils::LineString3d> & lines,
   const size_t end_line_idx)
 {
   for (const auto & line : lines) {
@@ -156,8 +158,8 @@ std::optional<size_t> insertStopVelocityAtCollision(
   const SegmentIndexWithPoint & collision, const double offset,
   tier4_planning_msgs::msg::PathWithLaneId * path)
 {
-  const auto collision_offset =
-    motion_utils::calcLongitudinalOffsetToSegment(path->points, collision.index, collision.point);
+  const auto collision_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
+    path->points, collision.index, collision.point);
 
   const auto offset_segment =
     arc_lane_utils::findOffsetSegment(*path, collision.index, offset + collision_offset);
@@ -408,7 +410,7 @@ bool VirtualTrafficLightModule::isBeforeStartLine(const size_t end_line_idx)
 
   const auto & ego_pose = planner_data_->current_odometry->pose;
   const size_t ego_seg_idx = findEgoSegmentIndex(module_data_.path.points);
-  const auto signed_arc_length = motion_utils::calcSignedArcLength(
+  const auto signed_arc_length = autoware::motion_utils::calcSignedArcLength(
                                    module_data_.path.points, ego_pose.position, ego_seg_idx,
                                    collision->point, collision_seg_idx) -
                                  planner_data_->vehicle_info_.max_longitudinal_offset_m;
@@ -431,7 +433,7 @@ bool VirtualTrafficLightModule::isBeforeStopLine(const size_t end_line_idx)
 
   const auto & ego_pose = planner_data_->current_odometry->pose;
   const size_t ego_seg_idx = findEgoSegmentIndex(module_data_.path.points);
-  const auto signed_arc_length = motion_utils::calcSignedArcLength(
+  const auto signed_arc_length = autoware::motion_utils::calcSignedArcLength(
                                    module_data_.path.points, ego_pose.position, ego_seg_idx,
                                    collision->point, collision_seg_idx) -
                                  planner_data_->vehicle_info_.max_longitudinal_offset_m;
@@ -459,7 +461,7 @@ bool VirtualTrafficLightModule::isAfterAnyEndLine(const size_t end_line_idx)
 
   const auto & ego_pose = planner_data_->current_odometry->pose;
   const size_t ego_seg_idx = findEgoSegmentIndex(module_data_.path.points);
-  const auto signed_arc_length = motion_utils::calcSignedArcLength(
+  const auto signed_arc_length = autoware::motion_utils::calcSignedArcLength(
                                    module_data_.path.points, ego_pose.position, ego_seg_idx,
                                    collision->point, collision_seg_idx) -
                                  planner_data_->vehicle_info_.max_longitudinal_offset_m;
@@ -480,7 +482,7 @@ bool VirtualTrafficLightModule::isNearAnyEndLine(const size_t end_line_idx)
 
   const auto & ego_pose = planner_data_->current_odometry->pose;
   const size_t ego_seg_idx = findEgoSegmentIndex(module_data_.path.points);
-  const auto signed_arc_length = motion_utils::calcSignedArcLength(
+  const auto signed_arc_length = autoware::motion_utils::calcSignedArcLength(
                                    module_data_.path.points, ego_pose.position, ego_seg_idx,
                                    collision->point, collision_seg_idx) -
                                  planner_data_->vehicle_info_.max_longitudinal_offset_m;
@@ -542,7 +544,7 @@ void VirtualTrafficLightModule::insertStopVelocityAtStopLine(
       path->points, collision->point, collision->index);
 
     const auto stop_distance =
-      motion_utils::calcSignedArcLength(
+      autoware::motion_utils::calcSignedArcLength(
         path->points, ego_pose.position, ego_seg_idx, collision.value().point, collision_seg_idx) +
       offset;
     const auto is_stopped = planner_data_->isVehicleStopped();
@@ -550,7 +552,7 @@ void VirtualTrafficLightModule::insertStopVelocityAtStopLine(
     if (stop_distance < planner_param_.hold_stop_margin_distance && is_stopped) {
       SegmentIndexWithPoint new_collision;
       const auto ego_pos_on_path =
-        motion_utils::calcLongitudinalOffsetPoint(path->points, ego_pose.position, 0.0);
+        autoware::motion_utils::calcLongitudinalOffsetPoint(path->points, ego_pose.position, 0.0);
 
       if (ego_pos_on_path) {
         new_collision.point = ego_pos_on_path.value();
diff --git a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp
index d413a8721c09e..2e208f344ef4e 100644
--- a/planning/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_virtual_traffic_light_module/src/scene.hpp
@@ -15,14 +15,14 @@
 #ifndef SCENE_HPP_
 #define SCENE_HPP_
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info.hpp>
 #include <lanelet2_extension/regulatory_elements/virtual_traffic_light.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <nlohmann/json.hpp>
 #include <rclcpp/clock.hpp>
 #include <rclcpp/logger.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <lanelet2_core/LaneletMap.h>
 #include <lanelet2_routing/RoutingGraph.h>
@@ -48,10 +48,10 @@ class VirtualTrafficLightModule : public SceneModuleInterface
     std::string instrument_type{};
     std::string instrument_id{};
     std::vector<tier4_v2x_msgs::msg::KeyValue> custom_tags{};
-    tier4_autoware_utils::Point3d instrument_center{};
-    std::optional<tier4_autoware_utils::LineString3d> stop_line{};
-    tier4_autoware_utils::LineString3d start_line{};
-    std::vector<tier4_autoware_utils::LineString3d> end_lines{};
+    autoware::universe_utils::Point3d instrument_center{};
+    std::optional<autoware::universe_utils::LineString3d> stop_line{};
+    autoware::universe_utils::LineString3d start_line{};
+    std::vector<autoware::universe_utils::LineString3d> end_lines{};
   };
 
   struct ModuleData
@@ -82,7 +82,7 @@ class VirtualTrafficLightModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   const int64_t lane_id_;
diff --git a/planning/autoware_behavior_velocity_walkway_module/CMakeLists.txt b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/CMakeLists.txt
similarity index 100%
rename from planning/autoware_behavior_velocity_walkway_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/CMakeLists.txt
diff --git a/planning/autoware_behavior_velocity_walkway_module/README.md b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/README.md
similarity index 100%
rename from planning/autoware_behavior_velocity_walkway_module/README.md
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/README.md
diff --git a/planning/autoware_behavior_velocity_walkway_module/config/walkway.param.yaml b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/config/walkway.param.yaml
similarity index 100%
rename from planning/autoware_behavior_velocity_walkway_module/config/walkway.param.yaml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/config/walkway.param.yaml
diff --git a/planning/autoware_behavior_velocity_walkway_module/package.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/package.xml
similarity index 94%
rename from planning/autoware_behavior_velocity_walkway_module/package.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/package.xml
index 544cb9fb1b84f..f02ec254d64f8 100644
--- a/planning/autoware_behavior_velocity_walkway_module/package.xml
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/package.xml
@@ -19,16 +19,16 @@
 
   <depend>autoware_behavior_velocity_crosswalk_module</depend>
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/autoware_behavior_velocity_walkway_module/plugins.xml b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/plugins.xml
similarity index 100%
rename from planning/autoware_behavior_velocity_walkway_module/plugins.xml
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/plugins.xml
diff --git a/planning/autoware_behavior_velocity_walkway_module/src/debug.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/debug.cpp
similarity index 74%
rename from planning/autoware_behavior_velocity_walkway_module/src/debug.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/debug.cpp
index 80badf59434da..59a4419087f18 100644
--- a/planning/autoware_behavior_velocity_walkway_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/debug.cpp
@@ -14,25 +14,25 @@
 
 #include "scene_walkway.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/marker/marker_helper.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <vector>
 
 namespace autoware::behavior_velocity_planner
 {
 
-using motion_utils::createSlowDownVirtualWallMarker;
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::createSlowDownVirtualWallMarker;
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 namespace
@@ -74,14 +74,14 @@ visualization_msgs::msg::MarkerArray createWalkwayMarkers(
 }
 }  // namespace
 
-motion_utils::VirtualWalls WalkwayModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls WalkwayModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "walkway";
   wall.ns = std::to_string(module_id_) + "_";
 
-  wall.style = motion_utils::VirtualWallType::stop;
+  wall.style = autoware::motion_utils::VirtualWallType::stop;
   for (const auto & p : debug_data_.stop_poses) {
     wall.pose = calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
diff --git a/planning/autoware_behavior_velocity_walkway_module/src/manager.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.cpp
similarity index 95%
rename from planning/autoware_behavior_velocity_walkway_module/src/manager.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.cpp
index cf3efe3700a05..57763f88910e2 100644
--- a/planning/autoware_behavior_velocity_walkway_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.cpp
@@ -14,8 +14,8 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 
 #include <limits>
 #include <memory>
@@ -26,8 +26,8 @@
 namespace autoware::behavior_velocity_planner
 {
 
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::Crosswalk;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 WalkwayModuleManager::WalkwayModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/autoware_behavior_velocity_walkway_module/src/manager.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.hpp
similarity index 89%
rename from planning/autoware_behavior_velocity_walkway_module/src/manager.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.hpp
index 592181dd3ac75..2e1913ace8661 100644
--- a/planning/autoware_behavior_velocity_walkway_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene_walkway.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <lanelet2_extension/regulatory_elements/crosswalk.hpp>
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp
similarity index 93%
rename from planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp
index 73ae5a52e0183..5a64daa0f95fc 100644
--- a/planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.cpp
@@ -14,19 +14,19 @@
 
 #include "scene_walkway.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <cmath>
 
 namespace autoware::behavior_velocity_planner
 {
 namespace bg = boost::geometry;
-using motion_utils::calcLongitudinalOffsetPose;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findNearestSegmentIndex;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::getPose;
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findNearestSegmentIndex;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::getPose;
 
 WalkwayModule::WalkwayModule(
   const int64_t module_id, const lanelet::LaneletMapPtr & lanelet_map_ptr,
diff --git a/planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp
similarity index 92%
rename from planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp
rename to planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp
index 675523c6658e3..44ca7f0404c54 100644
--- a/planning/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp
+++ b/planning/behavior_velocity_planner/autoware_behavior_velocity_walkway_module/src/scene_walkway.hpp
@@ -15,10 +15,10 @@
 #ifndef SCENE_WALKWAY_HPP_
 #define SCENE_WALKWAY_HPP_
 
-#include "autoware_behavior_velocity_crosswalk_module/util.hpp"
+#include "autoware/behavior_velocity_crosswalk_module/util.hpp"
 #include "scene_walkway.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -49,7 +49,7 @@ class WalkwayModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   const int64_t module_id_;
diff --git a/planning/behavior_velocity_speed_bump_module/CMakeLists.txt b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/CMakeLists.txt
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/CMakeLists.txt
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/CMakeLists.txt
diff --git a/planning/behavior_velocity_speed_bump_module/README.md b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/README.md
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/README.md
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/README.md
diff --git a/planning/behavior_velocity_speed_bump_module/config/speed_bump.param.yaml b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/config/speed_bump.param.yaml
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/config/speed_bump.param.yaml
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/config/speed_bump.param.yaml
diff --git a/planning/behavior_velocity_speed_bump_module/docs/speed_bump_design.svg b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_design.svg
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/docs/speed_bump_design.svg
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_design.svg
diff --git a/planning/behavior_velocity_speed_bump_module/docs/speed_bump_scenarios.svg b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_scenarios.svg
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/docs/speed_bump_scenarios.svg
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_scenarios.svg
diff --git a/planning/behavior_velocity_speed_bump_module/docs/speed_bump_vel_calc.png b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_vel_calc.png
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/docs/speed_bump_vel_calc.png
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/docs/speed_bump_vel_calc.png
diff --git a/planning/behavior_velocity_speed_bump_module/package.xml b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/package.xml
similarity index 94%
rename from planning/behavior_velocity_speed_bump_module/package.xml
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/package.xml
index 491e8704bef41..805ab2f39a7ef 100644
--- a/planning/behavior_velocity_speed_bump_module/package.xml
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/package.xml
@@ -16,18 +16,18 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>sensor_msgs</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>visualization_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/planning/behavior_velocity_speed_bump_module/plugins.xml b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/plugins.xml
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/plugins.xml
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/plugins.xml
diff --git a/planning/behavior_velocity_speed_bump_module/src/debug.cpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/debug.cpp
similarity index 78%
rename from planning/behavior_velocity_speed_bump_module/src/debug.cpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/debug.cpp
index acbe3e05debaa..91f44f50e4b53 100644
--- a/planning/behavior_velocity_speed_bump_module/src/debug.cpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/debug.cpp
@@ -14,24 +14,24 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 #include <lanelet2_extension/regulatory_elements/speed_bump.hpp>
-#include <motion_utils/marker/marker_helper.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
 
 #include <vector>
 
 namespace autoware::behavior_velocity_planner
 {
-using motion_utils::createSlowDownVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::createSlowDownVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 using visualization_msgs::msg::Marker;
 
 namespace
@@ -96,15 +96,15 @@ visualization_msgs::msg::MarkerArray createSpeedBumpMarkers(
 }
 }  // namespace
 
-motion_utils::VirtualWalls SpeedBumpModule::createVirtualWalls()
+autoware::motion_utils::VirtualWalls SpeedBumpModule::createVirtualWalls()
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "speed_bump";
   wall.ns = std::to_string(module_id_) + "_";
-  wall.style = motion_utils::VirtualWallType::slowdown;
+  wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   for (const auto & p : debug_data_.slow_start_poses) {
-    wall.pose = tier4_autoware_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
+    wall.pose = autoware::universe_utils::calcOffsetPose(p, debug_data_.base_link2front, 0.0, 0.0);
     virtual_walls.push_back(wall);
   }
   return virtual_walls;
diff --git a/planning/behavior_velocity_speed_bump_module/src/manager.cpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.cpp
similarity index 95%
rename from planning/behavior_velocity_speed_bump_module/src/manager.cpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.cpp
index 42f10586d8fec..9c6546a4748b1 100644
--- a/planning/behavior_velocity_speed_bump_module/src/manager.cpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.cpp
@@ -14,10 +14,10 @@
 
 #include "manager.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
 #include <lanelet2_extension/regulatory_elements/speed_bump.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
 
 #include <tf2/utils.h>
 
@@ -30,8 +30,8 @@
 
 namespace autoware::behavior_velocity_planner
 {
+using autoware::universe_utils::getOrDeclareParameter;
 using lanelet::autoware::SpeedBump;
-using tier4_autoware_utils::getOrDeclareParameter;
 
 SpeedBumpModuleManager::SpeedBumpModuleManager(rclcpp::Node & node)
 : SceneModuleManagerInterface(node, getModuleName())
diff --git a/planning/behavior_velocity_speed_bump_module/src/manager.hpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.hpp
similarity index 89%
rename from planning/behavior_velocity_speed_bump_module/src/manager.hpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.hpp
index 41b9a593dde95..950bb8471cc22 100644
--- a/planning/behavior_velocity_speed_bump_module/src/manager.hpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/manager.hpp
@@ -17,9 +17,9 @@
 
 #include "scene.hpp"
 
-#include <autoware_behavior_velocity_planner_common/plugin_interface.hpp>
-#include <autoware_behavior_velocity_planner_common/plugin_wrapper.hpp>
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/plugin_wrapper.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
diff --git a/planning/behavior_velocity_speed_bump_module/src/scene.cpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.cpp
similarity index 97%
rename from planning/behavior_velocity_speed_bump_module/src/scene.cpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.cpp
index 0ca4e0731b155..f0064a52891db 100644
--- a/planning/behavior_velocity_speed_bump_module/src/scene.cpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.cpp
@@ -14,16 +14,16 @@
 
 #include "scene.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "util.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
 namespace autoware::behavior_velocity_planner
 {
-using motion_utils::calcSignedArcLength;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::universe_utils::createPoint;
 
 using geometry_msgs::msg::Point32;
 
diff --git a/planning/behavior_velocity_speed_bump_module/src/scene.hpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.hpp
similarity index 94%
rename from planning/behavior_velocity_speed_bump_module/src/scene.hpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.hpp
index ffbcf5fdf9325..75a7776d08cad 100644
--- a/planning/behavior_velocity_speed_bump_module/src/scene.hpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/scene.hpp
@@ -17,7 +17,7 @@
 
 #include "util.hpp"
 
-#include <autoware_behavior_velocity_planner_common/scene_module_interface.hpp>
+#include <autoware/behavior_velocity_planner_common/scene_module_interface.hpp>
 #include <lanelet2_extension/regulatory_elements/speed_bump.hpp>
 #include <rclcpp/rclcpp.hpp>
 
@@ -59,7 +59,7 @@ class SpeedBumpModule : public SceneModuleInterface
   bool modifyPathVelocity(PathWithLaneId * path, StopReason * stop_reason) override;
 
   visualization_msgs::msg::MarkerArray createDebugMarkerArray() override;
-  motion_utils::VirtualWalls createVirtualWalls() override;
+  autoware::motion_utils::VirtualWalls createVirtualWalls() override;
 
 private:
   int64_t module_id_;
diff --git a/planning/behavior_velocity_speed_bump_module/src/util.cpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/util.cpp
similarity index 91%
rename from planning/behavior_velocity_speed_bump_module/src/util.cpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/util.cpp
index ca4e7e379d1ea..66f57001b3c73 100644
--- a/planning/behavior_velocity_speed_bump_module/src/util.cpp
+++ b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/util.cpp
@@ -14,11 +14,11 @@
 
 #include "util.hpp"
 
-#include "motion_utils/trajectory/path_with_lane_id.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/path_with_lane_id.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
-#include <autoware_behavior_velocity_planner_common/utilization/util.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/behavior_velocity_planner_common/utilization/util.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <boost/geometry.hpp>
 #include <boost/geometry/geometries/linestring.hpp>
@@ -40,11 +40,11 @@ using Point = bg::model::d2::point_xy<double>;
 using Polygon = bg::model::polygon<Point>;
 using Line = bg::model::linestring<Point>;
 
-using motion_utils::calcLongitudinalOffsetPoint;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findNearestSegmentIndex;
-using motion_utils::insertTargetPoint;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::calcLongitudinalOffsetPoint;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findNearestSegmentIndex;
+using autoware::motion_utils::insertTargetPoint;
+using autoware::universe_utils::createPoint;
 
 PathPolygonIntersectionStatus getPathPolygonIntersectionStatus(
   const PathWithLaneId & ego_path, const lanelet::BasicPolygon2d & polygon,
diff --git a/planning/behavior_velocity_speed_bump_module/src/util.hpp b/planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/util.hpp
similarity index 100%
rename from planning/behavior_velocity_speed_bump_module/src/util.hpp
rename to planning/behavior_velocity_planner/behavior_velocity_speed_bump_module/src/util.hpp
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/CMakeLists.txt b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/CMakeLists.txt
similarity index 56%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/CMakeLists.txt
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/CMakeLists.txt
index 481ac245cb432..30d147de3d786 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/CMakeLists.txt
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/CMakeLists.txt
@@ -1,9 +1,9 @@
 cmake_minimum_required(VERSION 3.14)
-project(behavior_velocity_dynamic_obstacle_stop_module)
+project(autoware_motion_velocity_dynamic_obstacle_stop_module)
 
 find_package(autoware_cmake REQUIRED)
 autoware_package()
-pluginlib_export_plugin_description_file(autoware_behavior_velocity_planner plugins.xml)
+pluginlib_export_plugin_description_file(autoware_motion_velocity_planner_node plugins.xml)
 
 ament_auto_add_library(${PROJECT_NAME} SHARED
   DIRECTORY src
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/README.md b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/README.md
similarity index 56%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/README.md
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/README.md
index ee44ac08afe96..805e5f27d4129 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/README.md
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/README.md
@@ -10,11 +10,11 @@ The _immediate_ path of an object is the area that the object would traverse dur
 
 ### Activation Timing
 
-This module is activated if the launch parameter `launch_dynamic_obstacle_stop_module` is set to true in the behavior planning launch file.
+This module is activated if the launch parameter `launch_dynamic_obstacle_stop_module` is set to true in the motion planning launch file.
 
 ### Inner-workings / Algorithms
 
-The module insert a stop point where the ego path collides with the immediate path of an object.
+The module insert a stop point where the ego trajectory collides with the immediate path of an object.
 The overall module flow can be summarized with the following 4 steps.
 
 1. Filter dynamic objects.
@@ -25,7 +25,7 @@ The overall module flow can be summarized with the following 4 steps.
 In addition to these 4 steps, 2 mechanisms are in place to make the stop point of this module more stable: an hysteresis and a decision duration buffer.
 
 The `hysteresis` parameter is used when a stop point was already being inserted in the previous iteration
-and it increases the range where dynamic objects are considered close enough to the ego path to be used by the module.
+and it increases the range where dynamic objects are considered close enough to the ego trajectory to be used by the module.
 
 #### Filter dynamic objects
 
@@ -37,12 +37,12 @@ An object is considered by the module only if it meets all of the following cond
 - it is moving at a velocity higher than defined by the `minimum_object_velocity` parameter;
 - it is not too close to the current position of the ego vehicle;
 - it is not unavoidable (only if parameter `ignore_unavoidable_collisions` is set to `true`);
-- it is close to the ego path.
+- it is close to the ego trajectory.
 
 An object is considered unavoidable if it is heading towards the ego vehicle such that even if ego stops, a collision would still occur (assuming the object keeps driving in a straight line).
 
 For the last condition,
-the object is considered close enough if its lateral distance from the ego path is less than the threshold parameter `minimum_object_distance_from_ego_path` plus half the width of ego and of the object (including the `extra_object_width` parameter).
+the object is considered close enough if its lateral distance from the ego trajectory is less than the threshold parameter `minimum_object_distance_from_ego_trajectory` plus half the width of ego and of the object (including the `extra_object_width` parameter).
 In addition, the value of the `hysteresis` parameter is added to the minimum distance if a stop point was inserted in the previous iteration.
 
 #### Calculate immediate path rectangles
@@ -57,17 +57,17 @@ and its length is the current speed of the object multiplied by the `time_horizo
 
 ![Earliest collision example](docs/DynamicObstacleStop-Collision.drawio.svg)
 
-We build the ego path footprints as the set of ego footprint polygons projected on each path point.
-We then calculate the intersections between these ego path footprints and the previously calculated immediate path rectangles.
-An intersection is ignored if the object is not driving toward ego, i.e., the absolute angle between the object and the path point is larger than $\frac{3 \pi}{4}$.
+We build the ego trajectory footprints as the set of ego footprint polygons projected on each trajectory point.
+We then calculate the intersections between these ego trajectory footprints and the previously calculated immediate path rectangles.
+An intersection is ignored if the object is not driving toward ego, i.e., the absolute angle between the object and the trajectory point is larger than $\frac{3 \pi}{4}$.
 
-The collision point with the lowest arc length when projected on the ego path will be used to calculate the final stop point.
+The collision point with the lowest arc length when projected on the ego trajectory will be used to calculate the final stop point.
 
 #### Insert stop point
 
 ![Stop point example](docs/DynamicObstacleStop-StopPoint.drawio.svg)
 
-Before inserting a stop point, we calculate the range of path arc lengths where it can be inserted.
+Before inserting a stop point, we calculate the range of trajectory arc lengths where it can be inserted.
 The minimum is calculated to satisfy the acceleration and jerk constraints of the vehicle.
 If a stop point was inserted in the previous iteration of the module, its arc length is used as the maximum.
 Finally,
@@ -84,14 +84,14 @@ Timers and collision points are tracked for each dynamic object independently.
 
 ### Module Parameters
 
-| Parameter                               | Type   | Description                                                                                                        |
-| --------------------------------------- | ------ | ------------------------------------------------------------------------------------------------------------------ |
-| `extra_object_width`                    | double | [m] extra width around detected objects                                                                            |
-| `minimum_object_velocity`               | double | [m/s] objects with a velocity bellow this value are ignored                                                        |
-| `stop_distance_buffer`                  | double | [m] extra distance to add between the stop point and the collision point                                           |
-| `time_horizon`                          | double | [s] time horizon used for collision checks                                                                         |
-| `hysteresis`                            | double | [m] once a collision has been detected, this hysteresis is used on the collision detection                         |
-| `add_stop_duration_buffer`              | double | [s] duration where a collision must be continuously detected before a stop decision is added                       |
-| `remove_stop_duration_buffer`           | double | [s] duration between no collision being detected and the stop decision being remove                                |
-| `minimum_object_distance_from_ego_path` | double | [m] minimum distance between the footprints of ego and an object to consider for collision                         |
-| `ignore_unavoidable_collisions`         | bool   | [-] if true, ignore collisions that cannot be avoided by stopping (assuming the obstacle continues going straight) |
+| Parameter                                     | Type   | Description                                                                                                        |
+| --------------------------------------------- | ------ | ------------------------------------------------------------------------------------------------------------------ |
+| `extra_object_width`                          | double | [m] extra width around detected objects                                                                            |
+| `minimum_object_velocity`                     | double | [m/s] objects with a velocity bellow this value are ignored                                                        |
+| `stop_distance_buffer`                        | double | [m] extra distance to add between the stop point and the collision point                                           |
+| `time_horizon`                                | double | [s] time horizon used for collision checks                                                                         |
+| `hysteresis`                                  | double | [m] once a collision has been detected, this hysteresis is used on the collision detection                         |
+| `add_stop_duration_buffer`                    | double | [s] duration where a collision must be continuously detected before a stop decision is added                       |
+| `remove_stop_duration_buffer`                 | double | [s] duration between no collision being detected and the stop decision being remove                                |
+| `minimum_object_distance_from_ego_trajectory` | double | [m] minimum distance between the footprints of ego and an object to consider for collision                         |
+| `ignore_unavoidable_collisions`               | bool   | [-] if true, ignore collisions that cannot be avoided by stopping (assuming the obstacle continues going straight) |
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml
similarity index 87%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml
index ac95cd75c8571..10d749e57a9c7 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/config/dynamic_obstacle_stop.param.yaml
@@ -8,5 +8,5 @@
       hysteresis: 1.0  # [m] once a collision has been detected, this hysteresis is used on the collision detection
       add_stop_duration_buffer : 0.5  # [s] duration where a collision must be continuously detected before a stop decision is added
       remove_stop_duration_buffer : 1.0  # [s] duration between no collision being detected and the stop decision being remove
-      minimum_object_distance_from_ego_path: 1.0  # [m] minimum distance between the footprints of ego and an object to consider for collision
+      minimum_object_distance_from_ego_trajectory: 1.0  # [m] minimum distance between the footprints of ego and an object to consider for collision
       ignore_unavoidable_collisions : true  # if true, ignore collisions that cannot be avoided by stopping (assuming the obstacle continues going straight)
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Collision.drawio.svg b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Collision.drawio.svg
similarity index 100%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Collision.drawio.svg
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Collision.drawio.svg
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Filtering.drawio.svg b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Filtering.drawio.svg
similarity index 100%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Filtering.drawio.svg
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-Filtering.drawio.svg
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-ImmediatePaths.drawio.svg b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-ImmediatePaths.drawio.svg
similarity index 100%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-ImmediatePaths.drawio.svg
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-ImmediatePaths.drawio.svg
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-StopPoint.drawio.svg b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-StopPoint.drawio.svg
similarity index 100%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-StopPoint.drawio.svg
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/DynamicObstacleStop-StopPoint.drawio.svg
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/docs/dynamic_obstacle_stop_rviz.png b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/dynamic_obstacle_stop_rviz.png
similarity index 100%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/docs/dynamic_obstacle_stop_rviz.png
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/docs/dynamic_obstacle_stop_rviz.png
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/package.xml b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/package.xml
similarity index 84%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/package.xml
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/package.xml
index bdf842b4fa55f..070843cacb2b5 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/package.xml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/package.xml
@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
-  <name>behavior_velocity_dynamic_obstacle_stop_module</name>
+  <name>autoware_motion_velocity_dynamic_obstacle_stop_module</name>
   <version>0.1.0</version>
   <description>dynamic_obstacle_stop module to stop ego when in the immediate path of a dynamic object</description>
 
@@ -12,18 +12,18 @@
 
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
-  <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
+  <depend>autoware_motion_velocity_planner_common</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/plugins.xml b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/plugins.xml
new file mode 100644
index 0000000000000..e82dc688f1f34
--- /dev/null
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/plugins.xml
@@ -0,0 +1,3 @@
+<library path="autoware_motion_velocity_dynamic_obstacle_stop_module">
+  <class type="autoware::motion_velocity_planner::DynamicObstacleStopModule" base_class_type="autoware::motion_velocity_planner::PluginModuleInterface"/>
+</library>
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.cpp
similarity index 71%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.cpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.cpp
index 10843fd3aef2b..349108c138650 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.cpp
@@ -14,9 +14,9 @@
 
 #include "collision.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -24,12 +24,12 @@
 #include <optional>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 
 std::optional<geometry_msgs::msg::Point> find_closest_collision_point(
   const EgoData & ego_data, const geometry_msgs::msg::Pose & object_pose,
-  const tier4_autoware_utils::Polygon2d & object_footprint)
+  const autoware::universe_utils::Polygon2d & object_footprint)
 {
   std::optional<geometry_msgs::msg::Point> closest_collision_point;
   auto closest_dist = std::numeric_limits<double>::max();
@@ -37,19 +37,19 @@ std::optional<geometry_msgs::msg::Point> find_closest_collision_point(
   ego_data.rtree.query(
     boost::geometry::index::intersects(object_footprint), std::back_inserter(rough_collisions));
   for (const auto & rough_collision : rough_collisions) {
-    const auto path_idx = rough_collision.second;
-    const auto & ego_footprint = ego_data.path_footprints[path_idx];
-    const auto & ego_pose = ego_data.path.points[path_idx].point.pose;
-    const auto angle_diff = tier4_autoware_utils::normalizeRadian(
+    const auto traj_idx = rough_collision.second;
+    const auto & ego_footprint = ego_data.trajectory_footprints[traj_idx];
+    const auto & ego_pose = ego_data.trajectory[traj_idx].pose;
+    const auto angle_diff = autoware::universe_utils::normalizeRadian(
       tf2::getYaw(ego_pose.orientation) - tf2::getYaw(object_pose.orientation));
     if (std::abs(angle_diff) > (M_PI_2 + M_PI_4)) {  // TODO(Maxime): make this angle a parameter
-      tier4_autoware_utils::MultiPoint2d collision_points;
+      autoware::universe_utils::MultiPoint2d collision_points;
       boost::geometry::intersection(
         object_footprint.outer(), ego_footprint.outer(), collision_points);
       for (const auto & coll_p : collision_points) {
         auto p = geometry_msgs::msg::Point().set__x(coll_p.x()).set__y(coll_p.y());
-        const auto dist_to_ego =
-          motion_utils::calcSignedArcLength(ego_data.path.points, ego_data.pose.position, p);
+        const auto dist_to_ego = autoware::motion_utils::calcSignedArcLength(
+          ego_data.trajectory, ego_data.pose.position, p);
         if (dist_to_ego < closest_dist) {
           closest_dist = dist_to_ego;
           closest_collision_point = p;
@@ -63,7 +63,7 @@ std::optional<geometry_msgs::msg::Point> find_closest_collision_point(
 std::vector<Collision> find_collisions(
   const EgoData & ego_data,
   const std::vector<autoware_perception_msgs::msg::PredictedObject> & objects,
-  const tier4_autoware_utils::MultiPolygon2d & object_forward_footprints)
+  const autoware::universe_utils::MultiPolygon2d & object_forward_footprints)
 {
   std::vector<Collision> collisions;
   for (auto object_idx = 0UL; object_idx < objects.size(); ++object_idx) {
@@ -72,7 +72,7 @@ std::vector<Collision> find_collisions(
     const auto collision = find_closest_collision_point(ego_data, object_pose, object_footprint);
     if (collision) {
       Collision c;
-      c.object_uuid = tier4_autoware_utils::toHexString(objects[object_idx].object_id);
+      c.object_uuid = autoware::universe_utils::toHexString(objects[object_idx].object_id);
       c.point = *collision;
       collisions.push_back(c);
     }
@@ -80,4 +80,4 @@ std::vector<Collision> find_collisions(
   return collisions;
 }
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.hpp
similarity index 70%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.hpp
index 8431221a27d6b..00e87c69d53fa 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/collision.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/collision.hpp
@@ -20,27 +20,28 @@
 #include <optional>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 /// @brief find the collision point closest to ego along an object footprint
-/// @param [in] ego_data ego data including its path and footprints used for finding a collision
+/// @param [in] ego_data ego data including its trajectory and footprints used for finding a
+/// collision
 /// @param [in] object_pose pose of the dynamic object
 /// @param [in] object_footprint footprint of the object used for finding a collision
 /// @return the collision point closest to ego (if any)
 std::optional<geometry_msgs::msg::Point> find_closest_collision_point(
   const EgoData & ego_data, const geometry_msgs::msg::Pose & object_pose,
-  const tier4_autoware_utils::Polygon2d & object_footprint);
+  const autoware::universe_utils::Polygon2d & object_footprint);
 
-/// @brief find the earliest collision along the ego path
-/// @param [in] ego_data ego data including its path and footprint
+/// @brief find the earliest collision along the ego trajectory
+/// @param [in] ego_data ego data including its trajectory and footprint
 /// @param [in] objects obstacles
 /// @param [in] obstacle_forward_footprints obstacle footprints to check for collisions
-/// @return the point of earliest collision along the ego path
+/// @return the point of earliest collision along the ego trajectory
 std::vector<Collision> find_collisions(
   const EgoData & ego_data,
   const std::vector<autoware_perception_msgs::msg::PredictedObject> & objects,
-  const tier4_autoware_utils::MultiPolygon2d & obstacle_forward_footprints);
+  const autoware::universe_utils::MultiPolygon2d & obstacle_forward_footprints);
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 
 #endif  // COLLISION_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.cpp
similarity index 85%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.cpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.cpp
index 5a457d651cd9e..3209a3be028ea 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.cpp
@@ -16,14 +16,14 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <visualization_msgs/msg/marker.hpp>
 
 #include <string>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop::debug
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop::debug
 {
 
 std::vector<visualization_msgs::msg::Marker> make_delete_markers(
@@ -59,8 +59,8 @@ std::vector<visualization_msgs::msg::Marker> make_collision_markers(
   marker.ns = ns;
   marker.id = 0;
   marker.action = visualization_msgs::msg::Marker::ADD;
-  marker.scale = tier4_autoware_utils::createMarkerScale(0.2, 0.2, 0.5);
-  marker.color = tier4_autoware_utils::createMarkerColor(0.6, 0.0, 0.6, 1.0);
+  marker.scale = autoware::universe_utils::createMarkerScale(0.2, 0.2, 0.5);
+  marker.color = autoware::universe_utils::createMarkerColor(0.6, 0.0, 0.6, 1.0);
   for (const auto & [object_uuid, decision] : object_map) {
     marker.type = visualization_msgs::msg::Marker::TEXT_VIEW_FACING;
     marker.text = object_uuid.substr(0, 5) + "\n";
@@ -85,7 +85,8 @@ std::vector<visualization_msgs::msg::Marker> make_collision_markers(
 }
 
 std::vector<visualization_msgs::msg::Marker> make_polygon_markers(
-  const tier4_autoware_utils::MultiPolygon2d & footprints, const std::string & ns, const double z)
+  const autoware::universe_utils::MultiPolygon2d & footprints, const std::string & ns,
+  const double z)
 {
   std::vector<visualization_msgs::msg::Marker> markers;
   visualization_msgs::msg::Marker marker;
@@ -95,8 +96,8 @@ std::vector<visualization_msgs::msg::Marker> make_polygon_markers(
   marker.id = 0;
   marker.type = visualization_msgs::msg::Marker::LINE_STRIP;
   marker.action = visualization_msgs::msg::Marker::ADD;
-  marker.scale = tier4_autoware_utils::createMarkerScale(0.1, 0.1, 0.1);
-  marker.color = tier4_autoware_utils::createMarkerColor(0.1, 1.0, 0.1, 0.8);
+  marker.scale = autoware::universe_utils::createMarkerScale(0.1, 0.1, 0.1);
+  marker.color = autoware::universe_utils::createMarkerColor(0.1, 1.0, 0.1, 0.8);
   for (const auto & footprint : footprints) {
     marker.points.clear();
     for (const auto & p : footprint.outer()) {
@@ -110,4 +111,4 @@ std::vector<visualization_msgs::msg::Marker> make_polygon_markers(
   }
   return markers;
 }
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop::debug
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop::debug
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.hpp
similarity index 82%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.hpp
index c567948927089..2018e3e9c53a0 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/debug.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/debug.hpp
@@ -18,8 +18,8 @@
 #include "object_stop_decision.hpp"
 #include "types.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <rclcpp/time.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <visualization_msgs/msg/marker.hpp>
@@ -28,7 +28,7 @@
 #include <string>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop::debug
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop::debug
 {
 std::vector<visualization_msgs::msg::Marker> make_delete_markers(
   const size_t from, const size_t to, const std::string & ns);
@@ -39,7 +39,8 @@ std::vector<visualization_msgs::msg::Marker> make_collision_markers(
   const ObjectStopDecisionMap & object_map, const std::string & ns, const double z,
   const rclcpp::Time & now);
 std::vector<visualization_msgs::msg::Marker> make_polygon_markers(
-  const tier4_autoware_utils::MultiPolygon2d & footprints, const std::string & ns, const double z);
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop::debug
+  const autoware::universe_utils::MultiPolygon2d & footprints, const std::string & ns,
+  const double z);
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop::debug
 
 #endif  // DEBUG_HPP_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.cpp
new file mode 100644
index 0000000000000..fde54a7041672
--- /dev/null
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.cpp
@@ -0,0 +1,224 @@
+// Copyright 2023-2024 TIER IV, Inc. All rights reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "dynamic_obstacle_stop_module.hpp"
+
+#include "collision.hpp"
+#include "debug.hpp"
+#include "footprint.hpp"
+#include "object_filtering.hpp"
+#include "object_stop_decision.hpp"
+#include "types.hpp"
+
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
+
+#include <algorithm>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+namespace autoware::motion_velocity_planner
+{
+
+void DynamicObstacleStopModule::init(rclcpp::Node & node, const std::string & module_name)
+{
+  module_name_ = module_name;
+  logger_ = node.get_logger().get_child(ns_);
+  clock_ = node.get_clock();
+  velocity_factor_interface_.init(autoware::motion_utils::PlanningBehavior::ROUTE_OBSTACLE);
+
+  debug_publisher_ =
+    node.create_publisher<visualization_msgs::msg::MarkerArray>("~/" + ns_ + "/debug_markers", 1);
+  virtual_wall_publisher_ =
+    node.create_publisher<visualization_msgs::msg::MarkerArray>("~/" + ns_ + "/virtual_walls", 1);
+
+  using autoware::universe_utils::getOrDeclareParameter;
+  auto & p = params_;
+  p.extra_object_width = getOrDeclareParameter<double>(node, ns_ + ".extra_object_width");
+  p.minimum_object_velocity = getOrDeclareParameter<double>(node, ns_ + ".minimum_object_velocity");
+  p.stop_distance_buffer = getOrDeclareParameter<double>(node, ns_ + ".stop_distance_buffer");
+  p.time_horizon = getOrDeclareParameter<double>(node, ns_ + ".time_horizon");
+  p.hysteresis = getOrDeclareParameter<double>(node, ns_ + ".hysteresis");
+  p.add_duration_buffer = getOrDeclareParameter<double>(node, ns_ + ".add_stop_duration_buffer");
+  p.remove_duration_buffer =
+    getOrDeclareParameter<double>(node, ns_ + ".remove_stop_duration_buffer");
+  p.minimum_object_distance_from_ego_trajectory =
+    getOrDeclareParameter<double>(node, ns_ + ".minimum_object_distance_from_ego_trajectory");
+  p.ignore_unavoidable_collisions =
+    getOrDeclareParameter<bool>(node, ns_ + ".ignore_unavoidable_collisions");
+
+  const auto vehicle_info = autoware::vehicle_info_utils::VehicleInfoUtils(node).getVehicleInfo();
+  p.ego_lateral_offset =
+    std::max(std::abs(vehicle_info.min_lateral_offset_m), vehicle_info.max_lateral_offset_m);
+  p.ego_longitudinal_offset = vehicle_info.max_longitudinal_offset_m;
+}
+
+void DynamicObstacleStopModule::update_parameters(const std::vector<rclcpp::Parameter> & parameters)
+{
+  using autoware::universe_utils::updateParam;
+  auto & p = params_;
+  updateParam(parameters, ns_ + ".extra_object_width", p.extra_object_width);
+  updateParam(parameters, ns_ + ".minimum_object_velocity", p.minimum_object_velocity);
+  updateParam(parameters, ns_ + ".stop_distance_buffer", p.stop_distance_buffer);
+  updateParam(parameters, ns_ + ".time_horizon", p.time_horizon);
+  updateParam(parameters, ns_ + ".hysteresis", p.hysteresis);
+  updateParam(parameters, ns_ + ".add_stop_duration_buffer", p.add_duration_buffer);
+  updateParam(parameters, ns_ + ".remove_stop_duration_buffer", p.remove_duration_buffer);
+  updateParam(
+    parameters, ns_ + ".minimum_object_distance_from_ego_trajectory",
+    p.minimum_object_distance_from_ego_trajectory);
+  updateParam(parameters, ns_ + ".ignore_unavoidable_collisions", p.ignore_unavoidable_collisions);
+}
+
+VelocityPlanningResult DynamicObstacleStopModule::plan(
+  const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & ego_trajectory_points,
+  const std::shared_ptr<const PlannerData> planner_data)
+{
+  VelocityPlanningResult result;
+  debug_data_.reset_data();
+  if (ego_trajectory_points.size() < 2) return result;
+
+  autoware::universe_utils::StopWatch<std::chrono::microseconds> stopwatch;
+  stopwatch.tic();
+  stopwatch.tic("preprocessing");
+  dynamic_obstacle_stop::EgoData ego_data;
+  ego_data.pose = planner_data->current_odometry.pose.pose;
+  ego_data.trajectory = ego_trajectory_points;
+  autoware::motion_utils::removeOverlapPoints(ego_data.trajectory);
+  ego_data.first_trajectory_idx =
+    autoware::motion_utils::findNearestSegmentIndex(ego_data.trajectory, ego_data.pose.position);
+  ego_data.longitudinal_offset_to_first_trajectory_idx =
+    autoware::motion_utils::calcLongitudinalOffsetToSegment(
+      ego_data.trajectory, ego_data.first_trajectory_idx, ego_data.pose.position);
+  const auto min_stop_distance = autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints(
+                                   planner_data->current_odometry.twist.twist.linear.x, 0.0,
+                                   planner_data->current_acceleration.accel.accel.linear.x,
+                                   planner_data->velocity_smoother_->getMinDecel(),
+                                   planner_data->velocity_smoother_->getMaxJerk(),
+                                   planner_data->velocity_smoother_->getMinJerk())
+                                   .value_or(0.0);
+  ego_data.earliest_stop_pose = autoware::motion_utils::calcLongitudinalOffsetPose(
+    ego_data.trajectory, ego_data.pose.position, min_stop_distance);
+
+  dynamic_obstacle_stop::make_ego_footprint_rtree(ego_data, params_);
+  double hysteresis =
+    std::find_if(
+      object_map_.begin(), object_map_.end(),
+      [](const auto & pair) { return pair.second.should_be_avoided(); }) == object_map_.end()
+      ? 0.0
+      : params_.hysteresis;
+  const auto dynamic_obstacles = dynamic_obstacle_stop::filter_predicted_objects(
+    planner_data->predicted_objects, ego_data, params_, hysteresis);
+
+  const auto preprocessing_duration_us = stopwatch.toc("preprocessing");
+
+  stopwatch.tic("footprints");
+  const auto obstacle_forward_footprints =
+    dynamic_obstacle_stop::make_forward_footprints(dynamic_obstacles, params_, hysteresis);
+  const auto footprints_duration_us = stopwatch.toc("footprints");
+  stopwatch.tic("collisions");
+  auto collisions = dynamic_obstacle_stop::find_collisions(
+    ego_data, dynamic_obstacles, obstacle_forward_footprints);
+  update_object_map(object_map_, collisions, clock_->now(), ego_data.trajectory, params_);
+  std::optional<geometry_msgs::msg::Point> earliest_collision =
+    dynamic_obstacle_stop::find_earliest_collision(object_map_, ego_data);
+  const auto collisions_duration_us = stopwatch.toc("collisions");
+  if (earliest_collision) {
+    const auto arc_length_diff = autoware::motion_utils::calcSignedArcLength(
+      ego_data.trajectory, *earliest_collision, ego_data.pose.position);
+    const auto can_stop_before_limit = arc_length_diff < min_stop_distance -
+                                                           params_.ego_longitudinal_offset -
+                                                           params_.stop_distance_buffer;
+    const auto stop_pose = can_stop_before_limit
+                             ? autoware::motion_utils::calcLongitudinalOffsetPose(
+                                 ego_data.trajectory, *earliest_collision,
+                                 -params_.stop_distance_buffer - params_.ego_longitudinal_offset)
+                             : ego_data.earliest_stop_pose;
+    debug_data_.stop_pose = stop_pose;
+    if (stop_pose) {
+      result.stop_points.push_back(stop_pose->position);
+      const auto stop_pose_reached =
+        planner_data->current_odometry.twist.twist.linear.x < 1e-3 &&
+        autoware::universe_utils::calcDistance2d(ego_data.pose, *stop_pose) < 1e-3;
+      velocity_factor_interface_.set(
+        ego_trajectory_points, ego_data.pose, *stop_pose,
+        stop_pose_reached ? autoware::motion_utils::VelocityFactor::STOPPED
+                          : autoware::motion_utils::VelocityFactor::APPROACHING,
+        "dynamic_obstacle_stop");
+      result.velocity_factor = velocity_factor_interface_.get();
+      create_virtual_walls();
+    }
+  }
+
+  debug_publisher_->publish(create_debug_marker_array());
+  virtual_wall_publisher_->publish(virtual_wall_marker_creator.create_markers());
+
+  const auto total_time_us = stopwatch.toc();
+  RCLCPP_DEBUG(
+    logger_,
+    "Total time = %2.2fus\n\tpreprocessing = %2.2fus\n\tfootprints = "
+    "%2.2fus\n\tcollisions = %2.2fus\n",
+    total_time_us, preprocessing_duration_us, footprints_duration_us, collisions_duration_us);
+  debug_data_.ego_footprints = ego_data.trajectory_footprints;
+  debug_data_.obstacle_footprints = obstacle_forward_footprints;
+  debug_data_.z = ego_data.pose.position.z;
+  return result;
+}
+
+visualization_msgs::msg::MarkerArray DynamicObstacleStopModule::create_debug_marker_array()
+{
+  const auto z = debug_data_.z;
+  visualization_msgs::msg::MarkerArray array;
+  std::string ns = "collisions";
+  const auto collision_markers =
+    dynamic_obstacle_stop::debug::make_collision_markers(object_map_, ns, z, clock_->now());
+  dynamic_obstacle_stop::debug::add_markers(
+    array, debug_data_.prev_collisions_nb, collision_markers, ns);
+  ns = "dynamic_obstacles_footprints";
+  const auto obstacle_footprint_markers =
+    dynamic_obstacle_stop::debug::make_polygon_markers(debug_data_.obstacle_footprints, ns, z);
+  dynamic_obstacle_stop::debug::add_markers(
+    array, debug_data_.prev_dynamic_obstacles_nb, obstacle_footprint_markers, ns);
+  ns = "ego_footprints";
+  const auto ego_footprint_markers =
+    dynamic_obstacle_stop::debug::make_polygon_markers(debug_data_.ego_footprints, ns, z);
+  dynamic_obstacle_stop::debug::add_markers(
+    array, debug_data_.prev_ego_footprints_nb, ego_footprint_markers, ns);
+  return array;
+}
+
+void DynamicObstacleStopModule::create_virtual_walls()
+{
+  if (debug_data_.stop_pose) {
+    autoware::motion_utils::VirtualWall virtual_wall;
+    virtual_wall.text = "dynamic_obstacle_stop";
+    virtual_wall.longitudinal_offset = params_.ego_longitudinal_offset;
+    virtual_wall.style = autoware::motion_utils::VirtualWallType::stop;
+    virtual_wall.pose = *debug_data_.stop_pose;
+    virtual_wall_marker_creator.add_virtual_wall(virtual_wall);
+  }
+}
+
+}  // namespace autoware::motion_velocity_planner
+
+#include <pluginlib/class_list_macros.hpp>
+PLUGINLIB_EXPORT_CLASS(
+  autoware::motion_velocity_planner::DynamicObstacleStopModule,
+  autoware::motion_velocity_planner::PluginModuleInterface)
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.hpp
new file mode 100644
index 0000000000000..1843d26a22a29
--- /dev/null
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/dynamic_obstacle_stop_module.hpp
@@ -0,0 +1,58 @@
+// Copyright 2023-2024 TIER IV, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#ifndef DYNAMIC_OBSTACLE_STOP_MODULE_HPP_
+#define DYNAMIC_OBSTACLE_STOP_MODULE_HPP_
+
+#include "object_stop_decision.hpp"
+#include "types.hpp"
+
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_velocity_planner_common/plugin_module_interface.hpp>
+#include <autoware/motion_velocity_planner_common/velocity_planning_result.hpp>
+#include <rclcpp/rclcpp.hpp>
+
+#include <memory>
+#include <string>
+#include <vector>
+
+namespace autoware::motion_velocity_planner
+{
+class DynamicObstacleStopModule : public PluginModuleInterface
+{
+public:
+  void init(rclcpp::Node & node, const std::string & module_name) override;
+  void update_parameters(const std::vector<rclcpp::Parameter> & parameters) override;
+  VelocityPlanningResult plan(
+    const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & ego_trajectory_points,
+    const std::shared_ptr<const PlannerData> planner_data) override;
+  std::string get_module_name() const override { return module_name_; }
+
+private:
+  visualization_msgs::msg::MarkerArray create_debug_marker_array();
+  void create_virtual_walls();
+
+  inline static const std::string ns_ = "dynamic_obstacle_stop";
+  std::string module_name_;
+  rclcpp::Clock::SharedPtr clock_{};
+
+  dynamic_obstacle_stop::PlannerParam params_;
+  dynamic_obstacle_stop::ObjectStopDecisionMap object_map_;
+
+  // Debug
+  mutable dynamic_obstacle_stop::DebugData debug_data_;
+};
+}  // namespace autoware::motion_velocity_planner
+
+#endif  // DYNAMIC_OBSTACLE_STOP_MODULE_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.cpp
similarity index 65%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.cpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.cpp
index 5f005348c4cea..9695146a2ad38 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.cpp
@@ -14,7 +14,7 @@
 
 #include "footprint.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 
@@ -26,13 +26,13 @@
 #include <utility>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
-tier4_autoware_utils::MultiPolygon2d make_forward_footprints(
+autoware::universe_utils::MultiPolygon2d make_forward_footprints(
   const std::vector<autoware_perception_msgs::msg::PredictedObject> & obstacles,
   const PlannerParam & params, const double hysteresis)
 {
-  tier4_autoware_utils::MultiPolygon2d forward_footprints;
+  autoware::universe_utils::MultiPolygon2d forward_footprints;
   for (const auto & obstacle : obstacles)
     forward_footprints.push_back(project_to_pose(
       make_forward_footprint(obstacle, params, hysteresis),
@@ -40,7 +40,7 @@ tier4_autoware_utils::MultiPolygon2d make_forward_footprints(
   return forward_footprints;
 }
 
-tier4_autoware_utils::Polygon2d make_forward_footprint(
+autoware::universe_utils::Polygon2d make_forward_footprint(
   const autoware_perception_msgs::msg::PredictedObject & obstacle, const PlannerParam & params,
   const double hysteresis)
 {
@@ -49,7 +49,7 @@ tier4_autoware_utils::Polygon2d make_forward_footprint(
     shape.x / 2.0 +
     obstacle.kinematics.initial_twist_with_covariance.twist.linear.x * params.time_horizon;
   const auto lateral_offset = (shape.y + params.extra_object_width) / 2.0 + hysteresis;
-  return tier4_autoware_utils::Polygon2d{
+  return autoware::universe_utils::Polygon2d{
     {{longitudinal_offset, -lateral_offset},
      {longitudinal_offset, lateral_offset},
      {shape.x / 2.0, lateral_offset},
@@ -58,12 +58,12 @@ tier4_autoware_utils::Polygon2d make_forward_footprint(
     {}};
 }
 
-tier4_autoware_utils::Polygon2d project_to_pose(
-  const tier4_autoware_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose)
+autoware::universe_utils::Polygon2d project_to_pose(
+  const autoware::universe_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose)
 {
   const auto angle = tf2::getYaw(pose.orientation);
-  const auto rotated_footprint = tier4_autoware_utils::rotatePolygon(base_footprint, angle);
-  tier4_autoware_utils::Polygon2d footprint;
+  const auto rotated_footprint = autoware::universe_utils::rotatePolygon(base_footprint, angle);
+  autoware::universe_utils::Polygon2d footprint;
   for (const auto & p : rotated_footprint.outer())
     footprint.outer().emplace_back(p.x() + pose.position.x, p.y() + pose.position.y);
   return footprint;
@@ -71,14 +71,14 @@ tier4_autoware_utils::Polygon2d project_to_pose(
 
 void make_ego_footprint_rtree(EgoData & ego_data, const PlannerParam & params)
 {
-  for (const auto & p : ego_data.path.points)
-    ego_data.path_footprints.push_back(tier4_autoware_utils::toFootprint(
-      p.point.pose, params.ego_longitudinal_offset, 0.0, params.ego_lateral_offset * 2.0));
-  for (auto i = 0UL; i < ego_data.path_footprints.size(); ++i) {
-    const auto box =
-      boost::geometry::return_envelope<tier4_autoware_utils::Box2d>(ego_data.path_footprints[i]);
+  for (const auto & p : ego_data.trajectory)
+    ego_data.trajectory_footprints.push_back(autoware::universe_utils::toFootprint(
+      p.pose, params.ego_longitudinal_offset, 0.0, params.ego_lateral_offset * 2.0));
+  for (auto i = 0UL; i < ego_data.trajectory_footprints.size(); ++i) {
+    const auto box = boost::geometry::return_envelope<autoware::universe_utils::Box2d>(
+      ego_data.trajectory_footprints[i]);
     ego_data.rtree.insert(std::make_pair(box, i));
   }
 }
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.hpp
similarity index 77%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.hpp
index c75d7bb9cc49e..01a112f85f4d9 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/footprint.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/footprint.hpp
@@ -17,11 +17,11 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 /// @brief create the footprint of the given obstacles and their projection over a fixed time
 /// horizon
@@ -29,7 +29,7 @@ namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
 /// @param [in] params parameters used to create the footprint
 /// @param [in] hysteresis [m] extra lateral distance to add to the footprints
 /// @return forward footprint of the obstacle
-tier4_autoware_utils::MultiPolygon2d make_forward_footprints(
+autoware::universe_utils::MultiPolygon2d make_forward_footprints(
   const std::vector<autoware_perception_msgs::msg::PredictedObject> & obstacles,
   const PlannerParam & params, const double hysteresis);
 /// @brief create the footprint of the given obstacle and its projection over a fixed time horizon
@@ -37,19 +37,20 @@ tier4_autoware_utils::MultiPolygon2d make_forward_footprints(
 /// @param [in] params parameters used to create the footprint
 /// @param [in] hysteresis [m] extra lateral distance to add to the footprint
 /// @return forward footprint of the obstacle
-tier4_autoware_utils::Polygon2d make_forward_footprint(
+autoware::universe_utils::Polygon2d make_forward_footprint(
   const autoware_perception_msgs::msg::PredictedObject & obstacle, const PlannerParam & params,
   const double hysteresis);
 /// @brief project a footprint to the given pose
 /// @param [in] base_footprint footprint to project
 /// @param [in] pose projection pose
 /// @return footprint projected to the given pose
-tier4_autoware_utils::Polygon2d project_to_pose(
-  const tier4_autoware_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose);
-/// @brief create the rtree indexing the ego footprint along the path
-/// @param [inout] ego_data ego data with its path and the rtree to populate
+autoware::universe_utils::Polygon2d project_to_pose(
+  const autoware::universe_utils::Polygon2d & base_footprint,
+  const geometry_msgs::msg::Pose & pose);
+/// @brief create the rtree indexing the ego footprint along the trajectory
+/// @param [inout] ego_data ego data with its trajectory and the rtree to populate
 /// @param [in] params parameters
 void make_ego_footprint_rtree(EgoData & ego_data, const PlannerParam & params);
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 
 #endif  // FOOTPRINT_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp
similarity index 82%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp
index b851e1a8fb35b..0b78aa9707f53 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.cpp
@@ -16,17 +16,17 @@
 
 #include "types.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <algorithm>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 
 /// @brief filter the given predicted objects
 /// @param objects predicted objects
-/// @param ego_data ego data, including its path and pose
+/// @param ego_data ego data, including its trajectory and pose
 /// @param params parameters
 /// @param hysteresis [m] extra distance threshold used for filtering
 /// @return filtered predicted objects
@@ -46,23 +46,23 @@ std::vector<autoware_perception_msgs::msg::PredictedObject> filter_predicted_obj
            }) != o.classification.end();
   };
   const auto is_in_range = [&](const auto & o) {
-    const auto distance = std::abs(motion_utils::calcLateralOffset(
-      ego_data.path.points, o.kinematics.initial_pose_with_covariance.pose.position));
-    return distance <= params.minimum_object_distance_from_ego_path + params.ego_lateral_offset +
-                         o.shape.dimensions.y / 2.0 + hysteresis;
+    const auto distance = std::abs(autoware::motion_utils::calcLateralOffset(
+      ego_data.trajectory, o.kinematics.initial_pose_with_covariance.pose.position));
+    return distance <= params.minimum_object_distance_from_ego_trajectory +
+                         params.ego_lateral_offset + o.shape.dimensions.y / 2.0 + hysteresis;
   };
   const auto is_not_too_close = [&](const auto & o) {
-    const auto obj_arc_length = motion_utils::calcSignedArcLength(
-      ego_data.path.points, ego_data.pose.position,
+    const auto obj_arc_length = autoware::motion_utils::calcSignedArcLength(
+      ego_data.trajectory, ego_data.pose.position,
       o.kinematics.initial_pose_with_covariance.pose.position);
-    return obj_arc_length > ego_data.longitudinal_offset_to_first_path_idx +
+    return obj_arc_length > ego_data.longitudinal_offset_to_first_trajectory_idx +
                               params.ego_longitudinal_offset + o.shape.dimensions.x / 2.0;
   };
   const auto is_unavoidable = [&](const auto & o) {
     const auto & o_pose = o.kinematics.initial_pose_with_covariance.pose;
     const auto o_yaw = tf2::getYaw(o_pose.orientation);
     const auto ego_yaw = tf2::getYaw(ego_data.pose.orientation);
-    const auto yaw_diff = std::abs(tier4_autoware_utils::normalizeRadian(o_yaw - ego_yaw));
+    const auto yaw_diff = std::abs(autoware::universe_utils::normalizeRadian(o_yaw - ego_yaw));
     const auto opposite_heading = yaw_diff > M_PI_2 + M_PI_4;
     const auto collision_distance_threshold =
       params.ego_lateral_offset + o.shape.dimensions.y / 2.0 + params.hysteresis;
@@ -91,4 +91,4 @@ std::vector<autoware_perception_msgs::msg::PredictedObject> filter_predicted_obj
   }
   return filtered_objects;
 }
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp
similarity index 85%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp
index 71da351d2f10b..b366b5fc37a5e 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_filtering.hpp
@@ -21,12 +21,12 @@
 
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 
 /// @brief filter the given predicted objects
 /// @param objects predicted objects
-/// @param ego_data ego data, including its path and pose
+/// @param ego_data ego data, including its trajectory and pose
 /// @param params parameters
 /// @param hysteresis [m] extra distance threshold used for filtering
 /// @return filtered predicted objects
@@ -34,6 +34,6 @@ std::vector<autoware_perception_msgs::msg::PredictedObject> filter_predicted_obj
   const autoware_perception_msgs::msg::PredictedObjects & objects, const EgoData & ego_data,
   const PlannerParam & params, const double hysteresis);
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 
 #endif  // OBJECT_FILTERING_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp
similarity index 77%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp
index 0f6fdbfadbf86..3f544c792d8e6 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.cpp
@@ -14,25 +14,23 @@
 
 #include "object_stop_decision.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <limits>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 void update_object_map(
   ObjectStopDecisionMap & object_map, const std::vector<Collision> & collisions,
-  const rclcpp::Time & now,
-  const std::vector<tier4_planning_msgs::msg::PathPointWithLaneId> & path_points,
-  const PlannerParam & params)
+  const rclcpp::Time & now, const TrajectoryPoints & trajectory, const PlannerParam & params)
 {
   for (auto & [object, decision] : object_map) decision.collision_detected = false;
   for (const auto & collision : collisions) {
     if (auto search = object_map.find(collision.object_uuid); search != object_map.end()) {
       search->second.collision_detected = true;
       const auto is_closer_collision_point =
-        motion_utils::calcSignedArcLength(
-          path_points, search->second.collision_point, collision.point) < 0.0;
+        autoware::motion_utils::calcSignedArcLength(
+          trajectory, search->second.collision_point, collision.point) < 0.0;
       if (is_closer_collision_point) search->second.collision_point = collision.point;
     } else {
       object_map[collision.object_uuid].collision_point = collision.point;
@@ -55,8 +53,8 @@ std::optional<geometry_msgs::msg::Point> find_earliest_collision(
   double earliest_collision_arc_length = std::numeric_limits<double>::max();
   for (auto & [object_uuid, decision] : object_map) {
     if (decision.should_be_avoided()) {
-      const auto arc_length = motion_utils::calcSignedArcLength(
-        ego_data.path.points, ego_data.pose.position, decision.collision_point);
+      const auto arc_length = autoware::motion_utils::calcSignedArcLength(
+        ego_data.trajectory, ego_data.pose.position, decision.collision_point);
       if (arc_length < earliest_collision_arc_length) {
         earliest_collision_arc_length = arc_length;
         earliest_collision = decision.collision_point;
@@ -66,4 +64,4 @@ std::optional<geometry_msgs::msg::Point> find_earliest_collision(
   return earliest_collision;
 }
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp
similarity index 87%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp
index cc13614e80782..4b4373c82592a 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/object_stop_decision.hpp
@@ -24,7 +24,7 @@
 #include <unordered_map>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
 /// @brief representation of a decision to stop for a dynamic object
 struct ObjectStopDecision
@@ -56,21 +56,19 @@ using ObjectStopDecisionMap = std::unordered_map<std::string, ObjectStopDecision
 /// @param [inout] object_map object map to update
 /// @param [in] collisions detected collisions (used to update the objects' collision points)
 /// @param [in] now current time (used to update the objects' timers)
-/// @param [in] path_points ego path points (used to determine the closest collision points)
+/// @param [in] trajectory ego trajectory points (used to determine the closest collision points)
 /// @param [in] params planner parameters
 void update_object_map(
   ObjectStopDecisionMap & object_map, const std::vector<Collision> & collisions,
-  const rclcpp::Time & now,
-  const std::vector<tier4_planning_msgs::msg::PathPointWithLaneId> & path_points,
-  const PlannerParam & params);
+  const rclcpp::Time & now, const TrajectoryPoints & trajectory, const PlannerParam & params);
 
-/// @brief find the earliest collision requiring a stop along the ego path
+/// @brief find the earliest collision requiring a stop along the ego trajectory
 /// @param object_map map with the objects to avoid and their corresponding collision points
 /// @param ego_data ego data
 /// @return the earliest collision point (if any)
 std::optional<geometry_msgs::msg::Point> find_earliest_collision(
   const ObjectStopDecisionMap & object_map, const EgoData & ego_data);
 
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 
 #endif  // OBJECT_STOP_DECISION_HPP_
diff --git a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/types.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/types.hpp
similarity index 70%
rename from planning/behavior_velocity_dynamic_obstacle_stop_module/src/types.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/types.hpp
index 32ef89413b2f8..294b789a679aa 100644
--- a/planning/behavior_velocity_dynamic_obstacle_stop_module/src/types.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_dynamic_obstacle_stop_module/src/types.hpp
@@ -15,12 +15,12 @@
 #ifndef TYPES_HPP_
 #define TYPES_HPP_
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <rclcpp/time.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
+#include <autoware_planning_msgs/msg/trajectory_point.hpp>
 #include <geometry_msgs/msg/pose.hpp>
-#include <tier4_planning_msgs/msg/path_with_lane_id.hpp>
 
 #include <boost/geometry/index/rtree.hpp>
 
@@ -29,9 +29,10 @@
 #include <utility>
 #include <vector>
 
-namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 {
-using BoxIndexPair = std::pair<tier4_autoware_utils::Box2d, size_t>;
+using TrajectoryPoints = std::vector<autoware_planning_msgs::msg::TrajectoryPoint>;
+using BoxIndexPair = std::pair<autoware::universe_utils::Box2d, size_t>;
 using Rtree = boost::geometry::index::rtree<BoxIndexPair, boost::geometry::index::rstar<16, 4>>;
 
 /// @brief parameters for the "out of lane" module
@@ -46,17 +47,17 @@ struct PlannerParam
   double remove_duration_buffer;
   double ego_longitudinal_offset;
   double ego_lateral_offset;
-  double minimum_object_distance_from_ego_path;
+  double minimum_object_distance_from_ego_trajectory;
   bool ignore_unavoidable_collisions;
 };
 
 struct EgoData
 {
-  tier4_planning_msgs::msg::PathWithLaneId path{};
-  size_t first_path_idx{};
-  double longitudinal_offset_to_first_path_idx;  // [m]
+  TrajectoryPoints trajectory{};
+  size_t first_trajectory_idx{};
+  double longitudinal_offset_to_first_trajectory_idx;  // [m]
   geometry_msgs::msg::Pose pose;
-  tier4_autoware_utils::MultiPolygon2d path_footprints;
+  autoware::universe_utils::MultiPolygon2d trajectory_footprints;
   Rtree rtree;
   std::optional<geometry_msgs::msg::Pose> earliest_stop_pose;
 };
@@ -64,9 +65,9 @@ struct EgoData
 /// @brief debug data
 struct DebugData
 {
-  tier4_autoware_utils::MultiPolygon2d obstacle_footprints{};
+  autoware::universe_utils::MultiPolygon2d obstacle_footprints{};
   size_t prev_dynamic_obstacles_nb{};
-  tier4_autoware_utils::MultiPolygon2d ego_footprints{};
+  autoware::universe_utils::MultiPolygon2d ego_footprints{};
   size_t prev_ego_footprints_nb{};
   std::optional<geometry_msgs::msg::Pose> stop_pose{};
   size_t prev_collisions_nb{};
@@ -84,6 +85,6 @@ struct Collision
   geometry_msgs::msg::Point point;
   std::string object_uuid;
 };
-}  // namespace autoware::behavior_velocity_planner::dynamic_obstacle_stop
+}  // namespace autoware::motion_velocity_planner::dynamic_obstacle_stop
 
 #endif  // TYPES_HPP_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/README.md b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/README.md
index f299df5564fe2..ef9fd770c6289 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/README.md
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/README.md
@@ -111,7 +111,7 @@ Obstacles from the lanelet map are not impacted by the masks.
 
 #### Occupancy Grid
 
-Masking is performed by iterating through the cells inside each polygon mask using the [`grid_map_utils::PolygonIterator`](https://github.com/autowarefoundation/autoware.universe/tree/main/common/grid_map_utils) function.
+Masking is performed by iterating through the cells inside each polygon mask using the [`autoware::grid_map_utils::PolygonIterator`](https://github.com/autowarefoundation/autoware.universe/tree/main/common/autoware_grid_map_utils) function.
 A threshold is then applied to only keep cells with an occupancy value above parameter `obstacles.occupancy_grid_threshold`.
 Finally, the image is converted to an image and obstacle linestrings are extracted using the opencv function
 [`findContour`](https://docs.opencv.org/3.4/d3/dc0/group__imgproc__shape.html#ga17ed9f5d79ae97bd4c7cf18403e1689a).
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/package.xml b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/package.xml
index ae2dad9eb365b..c42c7efb81577 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/package.xml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/package.xml
@@ -11,19 +11,20 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
+  <depend>autoware_grid_map_utils</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_motion_velocity_planner_common</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>eigen</depend>
   <depend>grid_map_msgs</depend>
   <depend>grid_map_ros</depend>
-  <depend>grid_map_utils</depend>
   <depend>lanelet2_core</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pcl_ros</depend>
   <depend>pluginlib</depend>
@@ -31,7 +32,6 @@
   <depend>sensor_msgs</depend>
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.cpp
index f67ca131ee91c..945b94782023b 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.cpp
@@ -17,7 +17,7 @@
 #include "distance.hpp"
 #include "forward_projection.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <boost/geometry.hpp>
 #include <boost/geometry/algorithms/correct.hpp>
@@ -120,7 +120,7 @@ std::vector<autoware::motion_velocity_planner::SlowdownInterval> calculate_slowd
   TrajectoryPoints & trajectory, const CollisionChecker & collision_checker,
   const std::vector<multi_linestring_t> & projections, const std::vector<polygon_t> & footprints,
   ProjectionParameters & projection_params, const VelocityParameters & velocity_params,
-  motion_utils::VirtualWalls & virtual_walls)
+  autoware::motion_utils::VirtualWalls & virtual_walls)
 {
   std::vector<autoware::motion_velocity_planner::SlowdownInterval> slowdown_intervals;
   double time = 0.0;
@@ -129,7 +129,7 @@ std::vector<autoware::motion_velocity_planner::SlowdownInterval> calculate_slowd
     if (i > 0) {
       const auto & prev_point = trajectory[i - 1];
       time += static_cast<double>(
-        tier4_autoware_utils::calcDistance2d(prev_point, trajectory_point) /
+        autoware::universe_utils::calcDistance2d(prev_point, trajectory_point) /
         prev_point.longitudinal_velocity_mps);
     }
     // First linestring is used to calculate distance
@@ -150,7 +150,7 @@ std::vector<autoware::motion_velocity_planner::SlowdownInterval> calculate_slowd
             static_cast<double>(*dist_to_collision - projection_params.extra_length),
             static_cast<double>(projection_params.duration), velocity_params.min_velocity)));
 
-      motion_utils::VirtualWall wall;
+      autoware::motion_utils::VirtualWall wall;
       wall.pose = trajectory_point.pose;
       virtual_walls.push_back(wall);
     }
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.hpp
index 811251d901e79..aeeaabeb9b510 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter.hpp
@@ -19,7 +19,7 @@
 #include "parameters.hpp"
 #include "types.hpp"
 
-#include <autoware_motion_velocity_planner_common/velocity_planning_result.hpp>
+#include <autoware/motion_velocity_planner_common/velocity_planning_result.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <nav_msgs/msg/occupancy_grid.hpp>
@@ -122,7 +122,7 @@ std::vector<autoware::motion_velocity_planner::SlowdownInterval> calculate_slowd
   TrajectoryPoints & trajectory, const CollisionChecker & collision_checker,
   const std::vector<multi_linestring_t> & projections, const std::vector<polygon_t> & footprints,
   ProjectionParameters & projection_params, const VelocityParameters & velocity_params,
-  motion_utils::VirtualWalls & virtual_walls);
+  autoware::motion_utils::VirtualWalls & virtual_walls);
 
 /// @brief copy the velocity profile of a downsampled trajectory to the original trajectory
 /// @param[in] downsampled_trajectory downsampled trajectory
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.cpp
index f845cf040dd64..2b78a2f1495bf 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.cpp
@@ -21,14 +21,14 @@
 #include "parameters.hpp"
 #include "trajectory_preprocessing.hpp"
 
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <rclcpp/duration.hpp>
 #include <rclcpp/logging.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <boost/geometry.hpp>
 
@@ -46,7 +46,7 @@ void ObstacleVelocityLimiterModule::init(rclcpp::Node & node, const std::string
   projection_params_ = obstacle_velocity_limiter::ProjectionParameters(node);
   obstacle_params_ = obstacle_velocity_limiter::ObstacleParameters(node);
   velocity_params_ = obstacle_velocity_limiter::VelocityParameters(node);
-  velocity_factor_interface_.init(motion_utils::PlanningBehavior::ROUTE_OBSTACLE);
+  velocity_factor_interface_.init(autoware::motion_utils::PlanningBehavior::ROUTE_OBSTACLE);
 
   debug_publisher_ =
     node.create_publisher<visualization_msgs::msg::MarkerArray>("~/" + ns_ + "/debug_markers", 1);
@@ -132,12 +132,12 @@ VelocityPlanningResult ObstacleVelocityLimiterModule::plan(
   const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & ego_trajectory_points,
   const std::shared_ptr<const PlannerData> planner_data)
 {
-  tier4_autoware_utils::StopWatch<std::chrono::microseconds> stopwatch;
+  autoware::universe_utils::StopWatch<std::chrono::microseconds> stopwatch;
   stopwatch.tic();
   VelocityPlanningResult result;
   stopwatch.tic("preprocessing");
-  const auto ego_idx =
-    motion_utils::findNearestIndex(ego_trajectory_points, planner_data->current_odometry.pose.pose);
+  const auto ego_idx = autoware::motion_utils::findNearestIndex(
+    ego_trajectory_points, planner_data->current_odometry.pose.pose);
   if (!ego_idx) {
     RCLCPP_WARN_THROTTLE(
       logger_, *clock_, rcutils_duration_value_t(1000),
@@ -183,7 +183,7 @@ VelocityPlanningResult ObstacleVelocityLimiterModule::plan(
       obstacle_params_);
   }
   const auto obstacles_us = stopwatch.toc("obstacles");
-  motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWalls virtual_walls;
   stopwatch.tic("slowdowns");
   result.slowdown_intervals = obstacle_velocity_limiter::calculate_slowdown_intervals(
     downsampled_traj_points,
@@ -195,7 +195,7 @@ VelocityPlanningResult ObstacleVelocityLimiterModule::plan(
   for (auto & wall : virtual_walls) {
     wall.longitudinal_offset = vehicle_front_offset_;
     wall.text = ns_;
-    wall.style = motion_utils::VirtualWallType::slowdown;
+    wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   }
   virtual_wall_marker_creator.add_virtual_walls(virtual_walls);
   virtual_wall_publisher_->publish(virtual_wall_marker_creator.create_markers(clock_->now()));
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.hpp
index 0b20caeb20035..e06ca4fffae28 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacle_velocity_limiter_module.hpp
@@ -19,12 +19,12 @@
 #include "parameters.hpp"
 #include "types.hpp"
 
-#include <autoware_motion_velocity_planner_common/plugin_module_interface.hpp>
-#include <autoware_motion_velocity_planner_common/velocity_planning_result.hpp>
+#include <autoware/motion_velocity_planner_common/plugin_module_interface.hpp>
+#include <autoware/motion_velocity_planner_common/velocity_planning_result.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/ros/self_pose_listener.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/ros/self_pose_listener.hpp>
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacles.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacles.hpp
index 5276761ca3ee0..7e4704ba6818c 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacles.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/obstacles.hpp
@@ -18,7 +18,7 @@
 #include "parameters.hpp"
 #include "types.hpp"
 
-#include <tier4_autoware_utils/ros/transform_listener.hpp>
+#include <autoware/universe_utils/ros/transform_listener.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <geometry_msgs/msg/pose.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/occupancy_grid_utils.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/occupancy_grid_utils.cpp
index 6ced7a011ecbe..424734801eb8f 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/occupancy_grid_utils.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/occupancy_grid_utils.cpp
@@ -14,11 +14,11 @@
 
 #include "occupancy_grid_utils.hpp"
 
+#include <autoware_grid_map_utils/polygon_iterator.hpp>
 #include <grid_map_core/Polygon.hpp>
 #include <grid_map_core/iterators/GridMapIterator.hpp>
 #include <grid_map_cv/GridMapCvConverter.hpp>
 #include <grid_map_ros/GridMapRosConverter.hpp>
-#include <grid_map_utils/polygon_iterator.hpp>
 #include <opencv2/imgproc.hpp>
 #include <opencv2/opencv.hpp>
 
@@ -38,13 +38,14 @@ void maskPolygons(grid_map::GridMap & grid_map, const ObstacleMasks & obstacle_m
     const auto layer_copy = grid_map["layer"];
     layer.setConstant(0.0);
     grid_map::Position position;
-    for (grid_map_utils::PolygonIterator iterator(grid_map, convert(obstacle_masks.positive_mask));
+    for (autoware::grid_map_utils::PolygonIterator iterator(
+           grid_map, convert(obstacle_masks.positive_mask));
          !iterator.isPastEnd(); ++iterator)
       layer((*iterator)(0), (*iterator)(1)) = layer_copy((*iterator)(0), (*iterator)(1));
   }
 
   for (const auto & negative_mask : obstacle_masks.negative_masks)
-    for (grid_map_utils::PolygonIterator iterator(grid_map, convert(negative_mask));
+    for (autoware::grid_map_utils::PolygonIterator iterator(grid_map, convert(negative_mask));
          !iterator.isPastEnd(); ++iterator)
       layer((*iterator)(0), (*iterator)(1)) = 0.0;
 }
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/pointcloud_utils.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/pointcloud_utils.hpp
index 3360d7e201231..eda2e2624ca4a 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/pointcloud_utils.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/pointcloud_utils.hpp
@@ -15,8 +15,8 @@
 #ifndef POINTCLOUD_UTILS_HPP_
 #define POINTCLOUD_UTILS_HPP_
 
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "obstacles.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 #include "types.hpp"
 
 #include <geometry_msgs/msg/transform.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/trajectory_preprocessing.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/trajectory_preprocessing.cpp
index 73cede754b748..7498568be99fb 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/trajectory_preprocessing.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/trajectory_preprocessing.cpp
@@ -14,7 +14,7 @@
 
 #include "trajectory_preprocessing.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 
@@ -31,7 +31,7 @@ size_t calculateStartIndex(
   auto dist = 0.0;
   auto idx = ego_idx;
   while (idx + 1 < trajectory.size() && dist < start_distance) {
-    dist += tier4_autoware_utils::calcDistance2d(trajectory[idx], trajectory[idx + 1]);
+    dist += autoware::universe_utils::calcDistance2d(trajectory[idx], trajectory[idx + 1]);
     ++idx;
   }
   return idx;
@@ -46,7 +46,7 @@ size_t calculateEndIndex(
   auto idx = start_idx;
   while (idx + 1 < trajectory.size() && length < max_length && duration < max_duration) {
     const auto length_d =
-      tier4_autoware_utils::calcDistance2d(trajectory[idx], trajectory[idx + 1]);
+      autoware::universe_utils::calcDistance2d(trajectory[idx], trajectory[idx + 1]);
     length += length_d;
     if (trajectory[idx].longitudinal_velocity_mps > 0.0)
       duration += length_d / trajectory[idx].longitudinal_velocity_mps;
@@ -74,7 +74,7 @@ void calculateSteeringAngles(TrajectoryPoints & trajectory, const double wheel_b
   for (auto i = 1ul; i < trajectory.size(); ++i) {
     const auto & prev_point = trajectory[i - 1];
     auto & point = trajectory[i];
-    const auto dt = tier4_autoware_utils::calcDistance2d(prev_point, point) /
+    const auto dt = autoware::universe_utils::calcDistance2d(prev_point, point) /
                     prev_point.longitudinal_velocity_mps;
     t += dt;
     const auto heading = tf2::getYaw(point.pose.orientation);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/types.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/types.hpp
index c24b1aff66eec..bd707402ce169 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/types.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/src/types.hpp
@@ -15,7 +15,7 @@
 #ifndef TYPES_HPP_
 #define TYPES_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -35,13 +35,13 @@ using nav_msgs::msg::OccupancyGrid;
 using PointCloud = pcl::PointCloud<pcl::PointXYZ>;
 
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
-using point_t = tier4_autoware_utils::Point2d;
-using multipoint_t = tier4_autoware_utils::MultiPoint2d;
-using polygon_t = tier4_autoware_utils::Polygon2d;
-using multi_polygon_t = tier4_autoware_utils::MultiPolygon2d;
-using segment_t = tier4_autoware_utils::Segment2d;
-using linestring_t = tier4_autoware_utils::LineString2d;
-using multi_linestring_t = tier4_autoware_utils::MultiLineString2d;
+using point_t = autoware::universe_utils::Point2d;
+using multipoint_t = autoware::universe_utils::MultiPoint2d;
+using polygon_t = autoware::universe_utils::Polygon2d;
+using multi_polygon_t = autoware::universe_utils::MultiPolygon2d;
+using segment_t = autoware::universe_utils::Segment2d;
+using linestring_t = autoware::universe_utils::LineString2d;
+using multi_linestring_t = autoware::universe_utils::MultiLineString2d;
 
 struct ObstacleMasks
 {
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_collision_distance.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_collision_distance.cpp
index 325f17d36a37d..ac07c62f62cf7 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_collision_distance.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_collision_distance.cpp
@@ -15,7 +15,7 @@
 #include "../src/distance.hpp"
 #include "../src/obstacles.hpp"
 #include "../src/types.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <autoware_perception_msgs/msg/predicted_object.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -400,7 +400,7 @@ TEST(TestCollisionDistance, createObjPolygons)
   object1.kinematics.initial_pose_with_covariance.pose.position.x = 0.0;
   object1.kinematics.initial_pose_with_covariance.pose.position.y = 0.0;
   object1.kinematics.initial_pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(0.0);
+    autoware::universe_utils::createQuaternionFromYaw(0.0);
   object1.kinematics.initial_twist_with_covariance.twist.linear.x = 0.0;
   object1.shape.dimensions.x = 1.0;
   object1.shape.dimensions.y = 1.0;
@@ -427,7 +427,7 @@ TEST(TestCollisionDistance, createObjPolygons)
   object2.kinematics.initial_pose_with_covariance.pose.position.x = 10.0;
   object2.kinematics.initial_pose_with_covariance.pose.position.y = 10.0;
   object2.kinematics.initial_pose_with_covariance.pose.orientation =
-    tier4_autoware_utils::createQuaternionFromYaw(M_PI_2);
+    autoware::universe_utils::createQuaternionFromYaw(M_PI_2);
   object2.kinematics.initial_twist_with_covariance.twist.linear.x = 2.0;
   object2.shape.dimensions.x = 2.0;
   object2.shape.dimensions.y = 1.0;
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_forward_projection.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_forward_projection.cpp
index 96dd5932806b2..0b8aad36580e6 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_forward_projection.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_obstacle_velocity_limiter_module/test/test_forward_projection.cpp
@@ -14,7 +14,7 @@
 
 #include "../src/forward_projection.hpp"
 #include "../src/types.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <geometry_msgs/msg/point.hpp>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/package.xml b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/package.xml
index 8dab409b48ad5..c5f7b79fb0b0f 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/package.xml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/package.xml
@@ -14,19 +14,19 @@
 
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_motion_velocity_planner_common</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>tf2</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>traffic_light_utils</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.cpp
index 157d545dcac0d..0c793c9f5798e 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.cpp
@@ -16,8 +16,8 @@
 
 #include "footprint.hpp"
 
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <boost/geometry/algorithms/overlaps.hpp>
 
@@ -30,7 +30,7 @@ bool can_decelerate(
   const EgoData & ego_data, const TrajectoryPoint & point, const double target_vel)
 {
   // TODO(Maxime): use the library function
-  const auto dist_ahead_of_ego = motion_utils::calcSignedArcLength(
+  const auto dist_ahead_of_ego = autoware::motion_utils::calcSignedArcLength(
     ego_data.trajectory_points, ego_data.pose.position, point.pose.position);
   const auto acc_to_target_vel =
     (ego_data.velocity * ego_data.velocity - target_vel * target_vel) / (2 * dist_ahead_of_ego);
@@ -39,17 +39,18 @@ bool can_decelerate(
 
 std::optional<TrajectoryPoint> calculate_last_in_lane_pose(
   const EgoData & ego_data, const Slowdown & decision,
-  const tier4_autoware_utils::Polygon2d & footprint,
+  const autoware::universe_utils::Polygon2d & footprint,
   const std::optional<SlowdownToInsert> & prev_slowdown_point, const PlannerParam & params)
 {
-  const auto from_arc_length =
-    motion_utils::calcSignedArcLength(ego_data.trajectory_points, 0, ego_data.first_trajectory_idx);
-  const auto to_arc_length = motion_utils::calcSignedArcLength(
+  const auto from_arc_length = autoware::motion_utils::calcSignedArcLength(
+    ego_data.trajectory_points, 0, ego_data.first_trajectory_idx);
+  const auto to_arc_length = autoware::motion_utils::calcSignedArcLength(
     ego_data.trajectory_points, 0, decision.target_trajectory_idx);
   TrajectoryPoint interpolated_point;
   for (auto l = to_arc_length - params.precision; l > from_arc_length; l -= params.precision) {
     // TODO(Maxime): binary search
-    interpolated_point.pose = motion_utils::calcInterpolatedPose(ego_data.trajectory_points, l);
+    interpolated_point.pose =
+      autoware::motion_utils::calcInterpolatedPose(ego_data.trajectory_points, l);
     const auto respect_decel_limit =
       !params.skip_if_over_max_decel || prev_slowdown_point ||
       can_decelerate(ego_data, interpolated_point, decision.velocity);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.hpp
index 19ed066548d0f..ee4897de86c5b 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/calculate_slowdown_points.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <optional>
 #include <vector>
@@ -42,7 +42,7 @@ bool can_decelerate(
 /// @return the last pose that is not out of lane (if found)
 std::optional<TrajectoryPoint> calculate_last_in_lane_pose(
   const EgoData & ego_data, const Slowdown & decision,
-  const tier4_autoware_utils::Polygon2d & footprint,
+  const autoware::universe_utils::Polygon2d & footprint,
   const std::optional<SlowdownToInsert> & prev_slowdown_point, const PlannerParam & params);
 
 /// @brief calculate the slowdown point to insert in the trajectory
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.cpp
index efb957ea85691..d9a85e266f790 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.cpp
@@ -16,7 +16,7 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #include <visualization_msgs/msg/marker.hpp>
 
@@ -36,10 +36,10 @@ visualization_msgs::msg::Marker get_base_marker()
   base_marker.id = 0;
   base_marker.type = visualization_msgs::msg::Marker::LINE_STRIP;
   base_marker.action = visualization_msgs::msg::Marker::ADD;
-  base_marker.pose.position = tier4_autoware_utils::createMarkerPosition(0.0, 0.0, 0);
-  base_marker.pose.orientation = tier4_autoware_utils::createMarkerOrientation(0, 0, 0, 1.0);
-  base_marker.scale = tier4_autoware_utils::createMarkerScale(0.1, 0.1, 0.1);
-  base_marker.color = tier4_autoware_utils::createMarkerColor(1.0, 0.1, 0.1, 0.5);
+  base_marker.pose.position = autoware::universe_utils::createMarkerPosition(0.0, 0.0, 0);
+  base_marker.pose.orientation = autoware::universe_utils::createMarkerOrientation(0, 0, 0, 1.0);
+  base_marker.scale = autoware::universe_utils::createMarkerScale(0.1, 0.1, 0.1);
+  base_marker.color = autoware::universe_utils::createMarkerColor(1.0, 0.1, 0.1, 0.5);
   return base_marker;
 }
 void add_footprint_markers(
@@ -52,7 +52,7 @@ void add_footprint_markers(
     debug_marker.points.clear();
     for (const auto & p : f)
       debug_marker.points.push_back(
-        tier4_autoware_utils::createMarkerPosition(p.x(), p.y(), z + 0.5));
+        autoware::universe_utils::createMarkerPosition(p.x(), p.y(), z + 0.5));
     debug_marker.points.push_back(debug_marker.points.front());
     debug_marker_array.markers.push_back(debug_marker);
     debug_marker.id++;
@@ -71,19 +71,19 @@ void add_current_overlap_marker(
   debug_marker.ns = "current_overlap";
   debug_marker.points.clear();
   for (const auto & p : current_footprint)
-    debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(p.x(), p.y(), z));
+    debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(p.x(), p.y(), z));
   if (!debug_marker.points.empty()) debug_marker.points.push_back(debug_marker.points.front());
   if (current_overlapped_lanelets.empty())
-    debug_marker.color = tier4_autoware_utils::createMarkerColor(0.1, 1.0, 0.1, 0.5);
+    debug_marker.color = autoware::universe_utils::createMarkerColor(0.1, 1.0, 0.1, 0.5);
   else
-    debug_marker.color = tier4_autoware_utils::createMarkerColor(1.0, 0.1, 0.1, 0.5);
+    debug_marker.color = autoware::universe_utils::createMarkerColor(1.0, 0.1, 0.1, 0.5);
   debug_marker_array.markers.push_back(debug_marker);
   debug_marker.id++;
   for (const auto & ll : current_overlapped_lanelets) {
     debug_marker.points.clear();
     for (const auto & p : ll.polygon3d())
       debug_marker.points.push_back(
-        tier4_autoware_utils::createMarkerPosition(p.x(), p.y(), p.z() + 0.5));
+        autoware::universe_utils::createMarkerPosition(p.x(), p.y(), p.z() + 0.5));
     debug_marker.points.push_back(debug_marker.points.front());
     debug_marker_array.markers.push_back(debug_marker);
     debug_marker.id++;
@@ -106,7 +106,7 @@ void add_lanelet_markers(
     // add a small z offset to draw above the lanelet map
     for (const auto & p : ll.polygon3d())
       debug_marker.points.push_back(
-        tier4_autoware_utils::createMarkerPosition(p.x(), p.y(), p.z() + 0.1));
+        autoware::universe_utils::createMarkerPosition(p.x(), p.y(), p.z() + 0.1));
     debug_marker.points.push_back(debug_marker.points.front());
     debug_marker_array.markers.push_back(debug_marker);
     debug_marker.id++;
@@ -123,20 +123,20 @@ void add_range_markers(
 {
   auto debug_marker = get_base_marker();
   debug_marker.ns = "ranges";
-  debug_marker.color = tier4_autoware_utils::createMarkerColor(0.2, 0.9, 0.1, 0.5);
+  debug_marker.color = autoware::universe_utils::createMarkerColor(0.2, 0.9, 0.1, 0.5);
   for (const auto & range : ranges) {
     debug_marker.points.clear();
     debug_marker.points.push_back(
       trajectory_points[first_ego_idx + range.entering_trajectory_idx].pose.position);
-    debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(
+    debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(
       range.entering_point.x(), range.entering_point.y(), z));
     for (const auto & overlap : range.debug.overlaps) {
-      debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(
+      debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(
         overlap.min_overlap_point.x(), overlap.min_overlap_point.y(), z));
-      debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(
+      debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(
         overlap.max_overlap_point.x(), overlap.max_overlap_point.y(), z));
     }
-    debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(
+    debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(
       range.exiting_point.x(), range.exiting_point.y(), z));
     debug_marker.points.push_back(
       trajectory_points[first_ego_idx + range.exiting_trajectory_idx].pose.position);
@@ -156,12 +156,12 @@ void add_decision_markers(
   debug_marker.action = debug_marker.ADD;
   debug_marker.id = 0;
   debug_marker.ns = "decisions";
-  debug_marker.color = tier4_autoware_utils::createMarkerColor(0.9, 0.1, 0.1, 1.0);
+  debug_marker.color = autoware::universe_utils::createMarkerColor(0.9, 0.1, 0.1, 1.0);
   debug_marker.points.clear();
   for (const auto & range : ranges) {
     debug_marker.type = debug_marker.LINE_STRIP;
     if (range.debug.decision) {
-      debug_marker.points.push_back(tier4_autoware_utils::createMarkerPosition(
+      debug_marker.points.push_back(autoware::universe_utils::createMarkerPosition(
         range.entering_point.x(), range.entering_point.y(), z));
       debug_marker.points.push_back(
         range.debug.object->kinematics.initial_pose_with_covariance.pose.position);
@@ -210,14 +210,16 @@ visualization_msgs::msg::MarkerArray create_debug_marker_array(const DebugData &
     debug_data.prev_current_overlapped_lanelets);
   debug::add_lanelet_markers(
     debug_marker_array, debug_data.trajectory_lanelets, "trajectory_lanelets",
-    tier4_autoware_utils::createMarkerColor(0.1, 0.1, 1.0, 0.5),
+    autoware::universe_utils::createMarkerColor(0.1, 0.1, 1.0, 0.5),
     debug_data.prev_trajectory_lanelets);
   debug::add_lanelet_markers(
     debug_marker_array, debug_data.ignored_lanelets, "ignored_lanelets",
-    tier4_autoware_utils::createMarkerColor(0.7, 0.7, 0.2, 0.5), debug_data.prev_ignored_lanelets);
+    autoware::universe_utils::createMarkerColor(0.7, 0.7, 0.2, 0.5),
+    debug_data.prev_ignored_lanelets);
   debug::add_lanelet_markers(
     debug_marker_array, debug_data.other_lanelets, "other_lanelets",
-    tier4_autoware_utils::createMarkerColor(0.4, 0.4, 0.7, 0.5), debug_data.prev_other_lanelets);
+    autoware::universe_utils::createMarkerColor(0.4, 0.4, 0.7, 0.5),
+    debug_data.prev_other_lanelets);
   debug::add_range_markers(
     debug_marker_array, debug_data.ranges, debug_data.trajectory_points,
     debug_data.first_trajectory_idx, z, debug_data.prev_ranges);
@@ -225,14 +227,14 @@ visualization_msgs::msg::MarkerArray create_debug_marker_array(const DebugData &
   return debug_marker_array;
 }
 
-motion_utils::VirtualWalls create_virtual_walls(
+autoware::motion_utils::VirtualWalls create_virtual_walls(
   const DebugData & debug_data, const PlannerParam & params)
 {
-  motion_utils::VirtualWalls virtual_walls;
-  motion_utils::VirtualWall wall;
+  autoware::motion_utils::VirtualWalls virtual_walls;
+  autoware::motion_utils::VirtualWall wall;
   wall.text = "out_of_lane";
   wall.longitudinal_offset = params.front_offset;
-  wall.style = motion_utils::VirtualWallType::slowdown;
+  wall.style = autoware::motion_utils::VirtualWallType::slowdown;
   for (const auto & slowdown : debug_data.slowdowns) {
     wall.pose = slowdown.point.pose;
     virtual_walls.push_back(wall);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.hpp
index 4a5be9dfb07ac..ea225442443c8 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/debug.hpp
@@ -17,14 +17,14 @@
 
 #include "types.hpp"
 
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
 
 #include <visualization_msgs/msg/marker_array.hpp>
 
 namespace autoware::motion_velocity_planner::out_of_lane::debug
 {
 visualization_msgs::msg::MarkerArray create_debug_marker_array(const DebugData & debug_data);
-motion_utils::VirtualWalls create_virtual_walls(
+autoware::motion_utils::VirtualWalls create_virtual_walls(
   const DebugData & debug_data, const PlannerParam & params);
 }  // namespace autoware::motion_velocity_planner::out_of_lane::debug
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.cpp
index 81610f750e753..fc487a2626b88 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.cpp
@@ -14,10 +14,10 @@
 
 #include "decisions.hpp"
 
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
+#include <autoware/universe_utils/ros/uuid_helper.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
-#include <tier4_autoware_utils/ros/uuid_helper.hpp>
 
 #include <boost/geometry/algorithms/within.hpp>
 
@@ -33,7 +33,7 @@ namespace autoware::motion_velocity_planner::out_of_lane
 {
 double distance_along_trajectory(const EgoData & ego_data, const size_t target_idx)
 {
-  return motion_utils::calcSignedArcLength(
+  return autoware::motion_utils::calcSignedArcLength(
     ego_data.trajectory_points, ego_data.pose.position, ego_data.first_trajectory_idx + target_idx);
 }
 
@@ -80,18 +80,19 @@ std::optional<std::pair<double, double>> object_time_to_range(
   auto worst_exit_time = std::optional<double>();
 
   for (const auto & predicted_path : object.kinematics.predicted_paths) {
-    const auto unique_path_points = motion_utils::removeOverlapPoints(predicted_path.path);
+    const auto unique_path_points =
+      autoware::motion_utils::removeOverlapPoints(predicted_path.path);
     if (unique_path_points.size() < 2) continue;
     const auto time_step = rclcpp::Duration(predicted_path.time_step).seconds();
     const auto enter_point =
       geometry_msgs::msg::Point().set__x(range.entering_point.x()).set__y(range.entering_point.y());
     const auto enter_segment_idx =
-      motion_utils::findNearestSegmentIndex(unique_path_points, enter_point);
-    const auto enter_offset = motion_utils::calcLongitudinalOffsetToSegment(
+      autoware::motion_utils::findNearestSegmentIndex(unique_path_points, enter_point);
+    const auto enter_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
       unique_path_points, enter_segment_idx, enter_point);
-    const auto enter_lat_dist =
-      std::abs(motion_utils::calcLateralOffset(unique_path_points, enter_point, enter_segment_idx));
-    const auto enter_segment_length = tier4_autoware_utils::calcDistance2d(
+    const auto enter_lat_dist = std::abs(autoware::motion_utils::calcLateralOffset(
+      unique_path_points, enter_point, enter_segment_idx));
+    const auto enter_segment_length = autoware::universe_utils::calcDistance2d(
       unique_path_points[enter_segment_idx], unique_path_points[enter_segment_idx + 1]);
     const auto enter_offset_ratio = enter_offset / enter_segment_length;
     const auto enter_time =
@@ -100,12 +101,12 @@ std::optional<std::pair<double, double>> object_time_to_range(
     const auto exit_point =
       geometry_msgs::msg::Point().set__x(range.exiting_point.x()).set__y(range.exiting_point.y());
     const auto exit_segment_idx =
-      motion_utils::findNearestSegmentIndex(unique_path_points, exit_point);
-    const auto exit_offset = motion_utils::calcLongitudinalOffsetToSegment(
+      autoware::motion_utils::findNearestSegmentIndex(unique_path_points, exit_point);
+    const auto exit_offset = autoware::motion_utils::calcLongitudinalOffsetToSegment(
       unique_path_points, exit_segment_idx, exit_point);
-    const auto exit_lat_dist =
-      std::abs(motion_utils::calcLateralOffset(unique_path_points, exit_point, exit_segment_idx));
-    const auto exit_segment_length = tier4_autoware_utils::calcDistance2d(
+    const auto exit_lat_dist = std::abs(
+      autoware::motion_utils::calcLateralOffset(unique_path_points, exit_point, exit_segment_idx));
+    const auto exit_segment_length = autoware::universe_utils::calcDistance2d(
       unique_path_points[exit_segment_idx], unique_path_points[exit_segment_idx + 1]);
     const auto exit_offset_ratio = exit_offset / static_cast<double>(exit_segment_length);
     const auto exit_time =
@@ -314,7 +315,7 @@ bool should_not_enter(
   for (const auto & object : inputs.objects.objects) {
     RCLCPP_DEBUG(
       logger, "\t\t[%s] going at %2.2fm/s",
-      tier4_autoware_utils::toHexString(object.object_id).c_str(),
+      autoware::universe_utils::toHexString(object.object_id).c_str(),
       object.kinematics.initial_twist_with_covariance.twist.linear.x);
     if (object.kinematics.initial_twist_with_covariance.twist.linear.x < params.objects_min_vel) {
       RCLCPP_DEBUG(logger, " SKIP (velocity bellow threshold %2.2fm/s)\n", params.objects_min_vel);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.hpp
index 09aa91b6b5565..455cee272f7be 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/decisions.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 #include <rclcpp/logger.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.cpp
index 77292a41b9cf1..ecc10df43c792 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.cpp
@@ -14,7 +14,7 @@
 
 #include "filter_predicted_objects.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <traffic_light_utils/traffic_light_utils.hpp>
 
 #include <boost/geometry/algorithms/intersects.hpp>
@@ -50,7 +50,7 @@ void cut_predicted_path_beyond_line(
     auto cut_idx = stop_line_idx;
     double arc_length = 0;
     while (cut_idx > 0 && arc_length < object_front_overhang) {
-      arc_length += tier4_autoware_utils::calcDistance2d(
+      arc_length += autoware::universe_utils::calcDistance2d(
         predicted_path.path[cut_idx], predicted_path.path[cut_idx - 1]);
       --cut_idx;
     }
@@ -114,10 +114,10 @@ autoware_perception_msgs::msg::PredictedObjects filter_predicted_objects(
     auto filtered_object = object;
     const auto is_invalid_predicted_path = [&](const auto & predicted_path) {
       const auto is_low_confidence = predicted_path.confidence < params.objects_min_confidence;
-      const auto no_overlap_path = motion_utils::removeOverlapPoints(predicted_path.path);
+      const auto no_overlap_path = autoware::motion_utils::removeOverlapPoints(predicted_path.path);
       if (no_overlap_path.size() <= 1) return true;
-      const auto lat_offset_to_current_ego =
-        std::abs(motion_utils::calcLateralOffset(no_overlap_path, ego_data.pose.position));
+      const auto lat_offset_to_current_ego = std::abs(
+        autoware::motion_utils::calcLateralOffset(no_overlap_path, ego_data.pose.position));
       const auto is_crossing_ego =
         lat_offset_to_current_ego <=
         object.shape.dimensions.y / 2.0 + std::max(
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.hpp
index 3083d85df42ab..49f18bfe372db 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/filter_predicted_objects.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <autoware_motion_velocity_planner_common/planner_data.hpp>
+#include <autoware/motion_velocity_planner_common/planner_data.hpp>
 
 #include <memory>
 #include <optional>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.cpp
index 824a847b17414..f5d68c4fa9bba 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.cpp
@@ -14,7 +14,7 @@
 
 #include "footprint.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 
@@ -26,10 +26,10 @@
 
 namespace autoware::motion_velocity_planner::out_of_lane
 {
-tier4_autoware_utils::Polygon2d make_base_footprint(
+autoware::universe_utils::Polygon2d make_base_footprint(
   const PlannerParam & p, const bool ignore_offset)
 {
-  tier4_autoware_utils::Polygon2d base_footprint;
+  autoware::universe_utils::Polygon2d base_footprint;
   const auto front_offset = ignore_offset ? 0.0 : p.extra_front_offset;
   const auto rear_offset = ignore_offset ? 0.0 : p.extra_rear_offset;
   const auto right_offset = ignore_offset ? 0.0 : p.extra_right_offset;
@@ -43,10 +43,10 @@ tier4_autoware_utils::Polygon2d make_base_footprint(
 }
 
 lanelet::BasicPolygon2d project_to_pose(
-  const tier4_autoware_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose)
+  const autoware::universe_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose)
 {
   const auto angle = tf2::getYaw(pose.orientation);
-  const auto rotated_footprint = tier4_autoware_utils::rotatePolygon(base_footprint, angle);
+  const auto rotated_footprint = autoware::universe_utils::rotatePolygon(base_footprint, angle);
   lanelet::BasicPolygon2d footprint;
   for (const auto & p : rotated_footprint.outer())
     footprint.emplace_back(p.x() + pose.position.x, p.y() + pose.position.y);
@@ -66,14 +66,14 @@ std::vector<lanelet::BasicPolygon2d> calculate_trajectory_footprints(
        i < ego_data.trajectory_points.size() && length < range; ++i) {
     const auto & trajectory_pose = ego_data.trajectory_points[i].pose;
     const auto angle = tf2::getYaw(trajectory_pose.orientation);
-    const auto rotated_footprint = tier4_autoware_utils::rotatePolygon(base_footprint, angle);
+    const auto rotated_footprint = autoware::universe_utils::rotatePolygon(base_footprint, angle);
     lanelet::BasicPolygon2d footprint;
     for (const auto & p : rotated_footprint.outer())
       footprint.emplace_back(
         p.x() + trajectory_pose.position.x, p.y() + trajectory_pose.position.y);
     trajectory_footprints.push_back(footprint);
     if (i + 1 < ego_data.trajectory_points.size())
-      length += tier4_autoware_utils::calcDistance2d(
+      length += autoware::universe_utils::calcDistance2d(
         trajectory_pose, ego_data.trajectory_points[i + 1].pose);
   }
   return trajectory_footprints;
@@ -84,7 +84,7 @@ lanelet::BasicPolygon2d calculate_current_ego_footprint(
 {
   const auto base_footprint = make_base_footprint(params, ignore_offset);
   const auto angle = tf2::getYaw(ego_data.pose.orientation);
-  const auto rotated_footprint = tier4_autoware_utils::rotatePolygon(base_footprint, angle);
+  const auto rotated_footprint = autoware::universe_utils::rotatePolygon(base_footprint, angle);
   lanelet::BasicPolygon2d footprint;
   for (const auto & p : rotated_footprint.outer())
     footprint.emplace_back(p.x() + ego_data.pose.position.x, p.y() + ego_data.pose.position.y);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.hpp
index 7b80dd9618bb7..ebe7ab0fa9d7f 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/footprint.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <vector>
 
@@ -30,14 +30,15 @@ namespace out_of_lane
 /// @param [in] ignore_offset optional parameter, if true, ignore the "extra offsets" to build the
 /// footprint
 /// @return base ego footprint
-tier4_autoware_utils::Polygon2d make_base_footprint(
+autoware::universe_utils::Polygon2d make_base_footprint(
   const PlannerParam & p, const bool ignore_offset = false);
 /// @brief project a footprint to the given pose
 /// @param [in] base_footprint footprint to project
 /// @param [in] pose projection pose
 /// @return footprint projected to the given pose
 lanelet::BasicPolygon2d project_to_pose(
-  const tier4_autoware_utils::Polygon2d & base_footprint, const geometry_msgs::msg::Pose & pose);
+  const autoware::universe_utils::Polygon2d & base_footprint,
+  const geometry_msgs::msg::Pose & pose);
 /// @brief calculate the trajectory footprints
 /// @details the resulting polygon follows the format used by the lanelet library: clockwise order
 /// and implicit closing edge
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.cpp
index 23dbf77f08151..bfa38e544227f 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.cpp
@@ -14,7 +14,7 @@
 
 #include "lanelets_selection.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <lanelet2_core/geometry/LaneletMap.h>
 #include <lanelet2_routing/RoutingGraph.h>
@@ -91,7 +91,7 @@ lanelet::ConstLanelets calculate_ignored_lanelets(
   lanelet::ConstLanelets ignored_lanelets;
   // ignore lanelets directly behind ego
   const auto behind =
-    tier4_autoware_utils::calcOffsetPose(ego_data.pose, params.rear_offset, 0.0, 0.0);
+    autoware::universe_utils::calcOffsetPose(ego_data.pose, params.rear_offset, 0.0, 0.0);
   const lanelet::BasicPoint2d behind_point(behind.position.x, behind.position.y);
   const auto behind_lanelets = lanelet::geometry::findWithin2d(
     route_handler->getLaneletMapPtr()->laneletLayer, behind_point, 0.0);
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.hpp
index e9ccadcdde800..8618d808d7d40 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/lanelets_selection.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 
 #include <lanelet2_core/LaneletMap.h>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.cpp
index 11640f9ad2c8e..f6d81f6f036d0 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.cpp
@@ -23,11 +23,11 @@
 #include "overlapping_range.hpp"
 #include "types.hpp"
 
-#include <motion_utils/trajectory/interpolation.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/ros/parameter.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/motion_utils/trajectory/interpolation.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/parameter.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <boost/geometry/algorithms/intersects.hpp>
 
@@ -50,7 +50,7 @@ void OutOfLaneModule::init(rclcpp::Node & node, const std::string & module_name)
   logger_ = node.get_logger();
   clock_ = node.get_clock();
   init_parameters(node);
-  velocity_factor_interface_.init(motion_utils::PlanningBehavior::ROUTE_OBSTACLE);
+  velocity_factor_interface_.init(autoware::motion_utils::PlanningBehavior::ROUTE_OBSTACLE);
 
   debug_publisher_ =
     node.create_publisher<visualization_msgs::msg::MarkerArray>("~/" + ns_ + "/debug_markers", 1);
@@ -59,7 +59,7 @@ void OutOfLaneModule::init(rclcpp::Node & node, const std::string & module_name)
 }
 void OutOfLaneModule::init_parameters(rclcpp::Node & node)
 {
-  using tier4_autoware_utils::getOrDeclareParameter;
+  using autoware::universe_utils::getOrDeclareParameter;
   auto & pp = params_;
 
   pp.mode = getOrDeclareParameter<std::string>(node, ns_ + ".mode");
@@ -109,7 +109,7 @@ void OutOfLaneModule::init_parameters(rclcpp::Node & node)
 
 void OutOfLaneModule::update_parameters(const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
   auto & pp = params_;
   updateParam(parameters, ns_ + ".mode", pp.mode);
   updateParam(parameters, ns_ + ".skip_if_already_overlapping", pp.skip_if_already_overlapping);
@@ -151,13 +151,13 @@ VelocityPlanningResult OutOfLaneModule::plan(
   const std::shared_ptr<const PlannerData> planner_data)
 {
   VelocityPlanningResult result;
-  tier4_autoware_utils::StopWatch<std::chrono::microseconds> stopwatch;
+  autoware::universe_utils::StopWatch<std::chrono::microseconds> stopwatch;
   stopwatch.tic();
   out_of_lane::EgoData ego_data;
   ego_data.pose = planner_data->current_odometry.pose.pose;
   ego_data.trajectory_points = ego_trajectory_points;
   ego_data.first_trajectory_idx =
-    motion_utils::findNearestSegmentIndex(ego_trajectory_points, ego_data.pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(ego_trajectory_points, ego_data.pose.position);
   ego_data.velocity = planner_data->current_odometry.twist.twist.linear.x;
   ego_data.max_decel = planner_data->velocity_smoother_->getMinDecel();
   stopwatch.tic("calculate_trajectory_footprints");
@@ -234,9 +234,9 @@ VelocityPlanningResult OutOfLaneModule::plan(
     if (
       point_to_insert && prev_inserted_point_ &&
       prev_inserted_point_->slowdown.velocity <= point_to_insert->slowdown.velocity) {
-      const auto arc_length = motion_utils::calcSignedArcLength(
+      const auto arc_length = autoware::motion_utils::calcSignedArcLength(
         ego_trajectory_points, 0LU, point_to_insert->point.pose.position);
-      const auto prev_arc_length = motion_utils::calcSignedArcLength(
+      const auto prev_arc_length = autoware::motion_utils::calcSignedArcLength(
         ego_trajectory_points, 0LU, prev_inserted_point_->point.pose.position);
       return prev_arc_length < arc_length;
     }
@@ -244,10 +244,10 @@ VelocityPlanningResult OutOfLaneModule::plan(
   }();
   if (should_use_prev_inserted_point) {
     // if the trajectory changed the prev point is no longer on the trajectory so we project it
-    const auto insert_arc_length = motion_utils::calcSignedArcLength(
+    const auto insert_arc_length = autoware::motion_utils::calcSignedArcLength(
       ego_trajectory_points, 0LU, prev_inserted_point_->point.pose.position);
     prev_inserted_point_->point.pose =
-      motion_utils::calcInterpolatedPose(ego_trajectory_points, insert_arc_length);
+      autoware::motion_utils::calcInterpolatedPose(ego_trajectory_points, insert_arc_length);
     point_to_insert = prev_inserted_point_;
   }
   if (point_to_insert) {
@@ -261,12 +261,12 @@ VelocityPlanningResult OutOfLaneModule::plan(
         point_to_insert->point.pose.position, point_to_insert->point.pose.position,
         point_to_insert->slowdown.velocity);
 
-    const auto is_approaching = motion_utils::calcSignedArcLength(
+    const auto is_approaching = autoware::motion_utils::calcSignedArcLength(
                                   ego_trajectory_points, ego_data.pose.position,
                                   point_to_insert->point.pose.position) > 0.1 &&
                                 ego_data.velocity > 0.1;
-    const auto status = is_approaching ? motion_utils::VelocityFactor::APPROACHING
-                                       : motion_utils::VelocityFactor::STOPPED;
+    const auto status = is_approaching ? autoware::motion_utils::VelocityFactor::APPROACHING
+                                       : autoware::motion_utils::VelocityFactor::STOPPED;
     velocity_factor_interface_.set(
       ego_trajectory_points, ego_data.pose, point_to_insert->point.pose, status, "out_of_lane");
     result.velocity_factor = velocity_factor_interface_.get();
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.hpp
index 94f1c41fe97a6..310a73c04d643 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.hpp
@@ -17,9 +17,9 @@
 
 #include "types.hpp"
 
-#include <autoware_motion_velocity_planner_common/plugin_module_interface.hpp>
-#include <autoware_motion_velocity_planner_common/velocity_planning_result.hpp>
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_velocity_planner_common/plugin_module_interface.hpp>
+#include <autoware/motion_velocity_planner_common/velocity_planning_result.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.cpp
index f89c620b75fb6..a1a722bb07f14 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.cpp
@@ -14,8 +14,8 @@
 
 #include "overlapping_range.hpp"
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
 #include <lanelet2_extension/utility/utilities.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
 
 #include <geometry_msgs/msg/pose.hpp>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.hpp
index 07c8663ea21bc..bc5872db16e03 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/overlapping_range.hpp
@@ -17,7 +17,7 @@
 
 #include "types.hpp"
 
-#include <tier4_autoware_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
 
 #include <lanelet2_core/LaneletMap.h>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/types.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/types.hpp
index 113c5f2580c2f..7a71bb6a7a28a 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/types.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/types.hpp
@@ -15,7 +15,7 @@
 #ifndef TYPES_HPP_
 #define TYPES_HPP_
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/planner_data.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/planner_data.hpp
similarity index 90%
rename from planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/planner_data.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/planner_data.hpp
index 494deae1d060c..5dbb872d99ca9 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/planner_data.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/planner_data.hpp
@@ -12,12 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
-#define AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#ifndef AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#define AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
 
-#include <autoware_route_handler/route_handler.hpp>
+#include <autoware/route_handler/route_handler.hpp>
+#include <autoware/velocity_smoother/smoother/smoother_base.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <autoware_velocity_smoother/smoother/smoother_base.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -67,8 +67,8 @@ struct PlannerData
   std::shared_ptr<route_handler::RouteHandler> route_handler;
 
   // nearest search
-  double ego_nearest_dist_threshold;
-  double ego_nearest_yaw_threshold;
+  double ego_nearest_dist_threshold{};
+  double ego_nearest_yaw_threshold{};
 
   // other internal data
   // traffic_light_id_map_raw is the raw observation, while traffic_light_id_map_keep_last keeps the
@@ -101,4 +101,4 @@ struct PlannerData
 };
 }  // namespace autoware::motion_velocity_planner
 
-#endif  // AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
+#endif  // AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLANNER_DATA_HPP_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/plugin_module_interface.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/plugin_module_interface.hpp
similarity index 77%
rename from planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/plugin_module_interface.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/plugin_module_interface.hpp
index dd2b89e3261d6..535510453b8ba 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/plugin_module_interface.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/plugin_module_interface.hpp
@@ -12,13 +12,13 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
-#define AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
+#ifndef AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
+#define AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
 
 #include "planner_data.hpp"
 #include "velocity_planning_result.hpp"
 
-#include <motion_utils/factor/velocity_factor_interface.hpp>
+#include <autoware/motion_utils/factor/velocity_factor_interface.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory_point.hpp>
@@ -40,13 +40,13 @@ class PluginModuleInterface
     const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & ego_trajectory_points,
     const std::shared_ptr<const PlannerData> planner_data) = 0;
   virtual std::string get_module_name() const = 0;
-  motion_utils::VelocityFactorInterface velocity_factor_interface_;
+  autoware::motion_utils::VelocityFactorInterface velocity_factor_interface_;
   rclcpp::Logger logger_ = rclcpp::get_logger("");
   rclcpp::Publisher<visualization_msgs::msg::MarkerArray>::SharedPtr debug_publisher_;
   rclcpp::Publisher<visualization_msgs::msg::MarkerArray>::SharedPtr virtual_wall_publisher_;
-  motion_utils::VirtualWallMarkerCreator virtual_wall_marker_creator{};
+  autoware::motion_utils::VirtualWallMarkerCreator virtual_wall_marker_creator{};
 };
 
 }  // namespace autoware::motion_velocity_planner
 
-#endif  // AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
+#endif  // AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__PLUGIN_MODULE_INTERFACE_HPP_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/velocity_planning_result.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/velocity_planning_result.hpp
similarity index 81%
rename from planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/velocity_planning_result.hpp
rename to planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/velocity_planning_result.hpp
index 9b011b74503f2..1288884a37979 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware_motion_velocity_planner_common/velocity_planning_result.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/include/autoware/motion_velocity_planner_common/velocity_planning_result.hpp
@@ -12,10 +12,10 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#ifndef AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
-#define AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
+#ifndef AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
+#define AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
 
-#include <motion_utils/marker/virtual_wall_marker_creator.hpp>
+#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/velocity_factor.hpp>
 #include <geometry_msgs/msg/point.hpp>
@@ -47,4 +47,4 @@ struct VelocityPlanningResult
 };
 }  // namespace autoware::motion_velocity_planner
 
-#endif  // AUTOWARE_MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
+#endif  // AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__VELOCITY_PLANNING_RESULT_HPP_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/package.xml b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/package.xml
index 7c1d370ae0ced..d2a3e305180d5 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/package.xml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_common/package.xml
@@ -16,17 +16,17 @@
   <buildtool_depend>eigen3_cmake_module</buildtool_depend>
 
   <depend>autoware_behavior_velocity_planner_common</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_route_handler</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_velocity_smoother</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/package.xml b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/package.xml
index 5de50947c4c28..c00e0dd856200 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/package.xml
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/package.xml
@@ -18,16 +18,17 @@
   <build_depend>rosidl_default_generators</build_depend>
 
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_motion_velocity_planner_common</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_velocity_smoother</depend>
   <depend>diagnostic_msgs</depend>
   <depend>eigen</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_extension</depend>
   <depend>libboost-dev</depend>
-  <depend>motion_utils</depend>
   <depend>pcl_conversions</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
@@ -37,7 +38,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
 
@@ -46,6 +46,7 @@
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
+  <test_depend>autoware_motion_velocity_dynamic_obstacle_stop_module</test_depend>
   <test_depend>autoware_motion_velocity_obstacle_velocity_limiter_module</test_depend>
   <test_depend>autoware_motion_velocity_out_of_lane_module</test_depend>
   <test_depend>autoware_planning_test_manager</test_depend>
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.cpp
index c53de15d67ebb..714b6fd948a32 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.cpp
@@ -14,14 +14,14 @@
 
 #include "node.hpp"
 
-#include <autoware_velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp>
-#include <autoware_velocity_smoother/trajectory_utils.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/ros/wait_for_param.hpp>
+#include <autoware/universe_utils/transform/transforms.hpp>
+#include <autoware/velocity_smoother/smoother/analytical_jerk_constrained_smoother/analytical_jerk_constrained_smoother.hpp>
+#include <autoware/velocity_smoother/trajectory_utils.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <tf2_eigen/tf2_eigen.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
-#include <tier4_autoware_utils/ros/wait_for_param.hpp>
-#include <tier4_autoware_utils/transform/transforms.hpp>
 
 #include <autoware_planning_msgs/msg/trajectory_point.hpp>
 #include <diagnostic_msgs/msg/diagnostic_status.hpp>
@@ -102,8 +102,9 @@ MotionVelocityPlannerNode::MotionVelocityPlannerNode(const rclcpp::NodeOptions &
   set_param_callback_ = this->add_on_set_parameters_callback(
     std::bind(&MotionVelocityPlannerNode::on_set_param, this, std::placeholders::_1));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void MotionVelocityPlannerNode::on_load_plugin(
@@ -192,7 +193,7 @@ MotionVelocityPlannerNode::process_no_ground_pointcloud(
 
   Eigen::Affine3f affine = tf2::transformToEigen(transform.transform).cast<float>();
   pcl::PointCloud<pcl::PointXYZ>::Ptr pc_transformed(new pcl::PointCloud<pcl::PointXYZ>);
-  if (!pc.empty()) tier4_autoware_utils::transformPointCloud(pc, *pc_transformed, affine);
+  if (!pc.empty()) autoware::universe_utils::transformPointCloud(pc, *pc_transformed, affine);
   return *pc_transformed;
 }
 
@@ -282,8 +283,10 @@ void MotionVelocityPlannerNode::insert_stop(
   autoware_planning_msgs::msg::Trajectory & trajectory,
   const geometry_msgs::msg::Point & stop_point) const
 {
-  const auto seg_idx = motion_utils::findNearestSegmentIndex(trajectory.points, stop_point);
-  const auto insert_idx = motion_utils::insertTargetPoint(seg_idx, stop_point, trajectory.points);
+  const auto seg_idx =
+    autoware::motion_utils::findNearestSegmentIndex(trajectory.points, stop_point);
+  const auto insert_idx =
+    autoware::motion_utils::insertTargetPoint(seg_idx, stop_point, trajectory.points);
   if (insert_idx) {
     for (auto idx = *insert_idx; idx < trajectory.points.size(); ++idx)
       trajectory.points[idx].longitudinal_velocity_mps = 0.0;
@@ -297,13 +300,13 @@ void MotionVelocityPlannerNode::insert_slowdown(
   const autoware::motion_velocity_planner::SlowdownInterval & slowdown_interval) const
 {
   const auto from_seg_idx =
-    motion_utils::findNearestSegmentIndex(trajectory.points, slowdown_interval.from);
-  const auto from_insert_idx =
-    motion_utils::insertTargetPoint(from_seg_idx, slowdown_interval.from, trajectory.points);
+    autoware::motion_utils::findNearestSegmentIndex(trajectory.points, slowdown_interval.from);
+  const auto from_insert_idx = autoware::motion_utils::insertTargetPoint(
+    from_seg_idx, slowdown_interval.from, trajectory.points);
   const auto to_seg_idx =
-    motion_utils::findNearestSegmentIndex(trajectory.points, slowdown_interval.to);
+    autoware::motion_utils::findNearestSegmentIndex(trajectory.points, slowdown_interval.to);
   const auto to_insert_idx =
-    motion_utils::insertTargetPoint(to_seg_idx, slowdown_interval.to, trajectory.points);
+    autoware::motion_utils::insertTargetPoint(to_seg_idx, slowdown_interval.to, trajectory.points);
   if (from_insert_idx && to_insert_idx) {
     for (auto idx = *from_insert_idx; idx <= *to_insert_idx; ++idx)
       trajectory.points[idx].longitudinal_velocity_mps = 0.0;
@@ -332,9 +335,10 @@ autoware::motion_velocity_planner::TrajectoryPoints MotionVelocityPlannerNode::s
   auto traj_resampled = smoother->resampleTrajectory(
     traj_steering_rate_limited, v0, current_pose, planner_data.ego_nearest_dist_threshold,
     planner_data.ego_nearest_yaw_threshold);
-  const size_t traj_resampled_closest = motion_utils::findFirstNearestIndexWithSoftConstraints(
-    traj_resampled, current_pose, planner_data.ego_nearest_dist_threshold,
-    planner_data.ego_nearest_yaw_threshold);
+  const size_t traj_resampled_closest =
+    autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
+      traj_resampled, current_pose, planner_data.ego_nearest_dist_threshold,
+      planner_data.ego_nearest_yaw_threshold);
   std::vector<autoware::motion_velocity_planner::TrajectoryPoints> debug_trajectories;
   // Clip trajectory from closest point
   autoware::motion_velocity_planner::TrajectoryPoints clipped;
@@ -385,7 +389,7 @@ autoware_planning_msgs::msg::Trajectory MotionVelocityPlannerNode::generate_traj
 rcl_interfaces::msg::SetParametersResult MotionVelocityPlannerNode::on_set_param(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   {
     std::unique_lock<std::mutex> lk(mutex_);  // for planner_manager_
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.hpp
index 799f80db25ad2..7b771d0b04442 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/node.hpp
@@ -17,13 +17,13 @@
 
 #include "planner_manager.hpp"
 
-#include <autoware_motion_velocity_planner_common/planner_data.hpp>
+#include <autoware/motion_velocity_planner_common/planner_data.hpp>
+#include <autoware/universe_utils/ros/logger_level_configure.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <autoware_motion_velocity_planner_node/srv/load_plugin.hpp>
 #include <autoware_motion_velocity_planner_node/srv/unload_plugin.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/ros/logger_level_configure.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
@@ -62,22 +62,23 @@ class MotionVelocityPlannerNode : public rclcpp::Node
 
   // subscriber
   rclcpp::Subscription<autoware_planning_msgs::msg::Trajectory>::SharedPtr sub_trajectory_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     autoware_perception_msgs::msg::PredictedObjects>
     sub_predicted_objects_{this, "~/input/dynamic_objects"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
-    sub_no_ground_pointcloud_{this, "~/input/no_ground_pointcloud"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
+  autoware::universe_utils::InterProcessPollingSubscriber<sensor_msgs::msg::PointCloud2>
+    sub_no_ground_pointcloud_{
+      this, "~/input/no_ground_pointcloud", autoware::universe_utils::SingleDepthSensorQoS()};
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry>
     sub_vehicle_odometry_{this, "~/input/vehicle_odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     geometry_msgs::msg::AccelWithCovarianceStamped>
     sub_acceleration_{this, "~/input/accel"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::OccupancyGrid>
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::OccupancyGrid>
     sub_occupancy_grid_{this, "~/input/occupancy_grid"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     autoware_perception_msgs::msg::TrafficLightGroupArray>
     sub_traffic_signals_{this, "~/input/traffic_signals"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     tier4_v2x_msgs::msg::VirtualTrafficLightStateArray>
     sub_virtual_traffic_light_states_{this, "~/input/virtual_traffic_light_states"};
   rclcpp::Subscription<autoware_map_msgs::msg::LaneletMapBin>::SharedPtr sub_lanelet_map_;
@@ -137,9 +138,9 @@ class MotionVelocityPlannerNode : public rclcpp::Node
   autoware_planning_msgs::msg::Trajectory generate_trajectory(
     autoware::motion_velocity_planner::TrajectoryPoints input_trajectory_points);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace autoware::motion_velocity_planner
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/planner_manager.hpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/planner_manager.hpp
index 70af1041ec222..20165d359f669 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/planner_manager.hpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/src/planner_manager.hpp
@@ -15,8 +15,8 @@
 #ifndef PLANNER_MANAGER_HPP_
 #define PLANNER_MANAGER_HPP_
 
-#include <autoware_motion_velocity_planner_common/plugin_module_interface.hpp>
-#include <autoware_motion_velocity_planner_common/velocity_planning_result.hpp>
+#include <autoware/motion_velocity_planner_common/plugin_module_interface.hpp>
+#include <autoware/motion_velocity_planner_common/velocity_planning_result.hpp>
 #include <pluginlib/class_loader.hpp>
 #include <rclcpp/rclcpp.hpp>
 
diff --git a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/test/src/test_node_interface.cpp b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/test/src/test_node_interface.cpp
index 3c7b7d1df9bf5..c35749ef33710 100644
--- a/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/test/src/test_node_interface.cpp
+++ b/planning/motion_velocity_planner/autoware_motion_velocity_planner_node/test/src/test_node_interface.cpp
@@ -61,6 +61,7 @@ std::shared_ptr<MotionVelocityPlannerNode> generateNode()
   std::vector<std::string> module_names;
   module_names.emplace_back("autoware::motion_velocity_planner::OutOfLaneModule");
   module_names.emplace_back("autoware::motion_velocity_planner::ObstacleVelocityLimiterModule");
+  module_names.emplace_back("autoware::motion_velocity_planner::DynamicObstacleStopModule");
 
   std::vector<rclcpp::Parameter> params;
   params.emplace_back("launch_modules", module_names);
@@ -75,7 +76,8 @@ std::shared_ptr<MotionVelocityPlannerNode> generateNode()
                    velocity_smoother_dir + "/config/Analytical.param.yaml",
                    motion_velocity_planner_dir + "/config/motion_velocity_planner.param.yaml",
                    get_motion_velocity_module_config("out_of_lane"),
-                   get_motion_velocity_module_config("obstacle_velocity_limiter")});
+                   get_motion_velocity_module_config("obstacle_velocity_limiter"),
+                   get_motion_velocity_module_config("dynamic_obstacle_stop")});
 
   return std::make_shared<MotionVelocityPlannerNode>(node_options);
 }
diff --git a/planning/obstacle_stop_planner/include/obstacle_stop_planner/debug_marker.hpp b/planning/obstacle_stop_planner/include/obstacle_stop_planner/debug_marker.hpp
index ef035b94054aa..2585c8a1141de 100644
--- a/planning/obstacle_stop_planner/include/obstacle_stop_planner/debug_marker.hpp
+++ b/planning/obstacle_stop_planner/include/obstacle_stop_planner/debug_marker.hpp
@@ -33,7 +33,7 @@
 #define EIGEN_MPL2_ONLY
 #include <Eigen/Core>
 #include <Eigen/Geometry>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 namespace motion_planning
 {
 
@@ -108,10 +108,10 @@ class ObstacleStopPlannerDebugNode
   explicit ObstacleStopPlannerDebugNode(rclcpp::Node * node, const double base_link2front);
   ~ObstacleStopPlannerDebugNode() {}
   bool pushPolygon(
-    const tier4_autoware_utils::Polygon2d & polygon, const double z, const PolygonType & type);
+    const autoware::universe_utils::Polygon2d & polygon, const double z, const PolygonType & type);
   bool pushPolygon(const std::vector<Eigen::Vector3d> & polygon, const PolygonType & type);
   bool pushPolyhedron(
-    const tier4_autoware_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
+    const autoware::universe_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
     const PolygonType & type);
   bool pushPolyhedron(const std::vector<Eigen::Vector3d> & polyhedron, const PolygonType & type);
   bool pushPose(const Pose & pose, const PoseType & type);
diff --git a/planning/obstacle_stop_planner/include/obstacle_stop_planner/node.hpp b/planning/obstacle_stop_planner/include/obstacle_stop_planner/node.hpp
index d7fc83dbdf7ed..6d4f341de6071 100644
--- a/planning/obstacle_stop_planner/include/obstacle_stop_planner/node.hpp
+++ b/planning/obstacle_stop_planner/include/obstacle_stop_planner/node.hpp
@@ -15,19 +15,19 @@
 #ifndef OBSTACLE_STOP_PLANNER__NODE_HPP_
 #define OBSTACLE_STOP_PLANNER__NODE_HPP_
 
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "obstacle_stop_planner/adaptive_cruise_control.hpp"
 #include "obstacle_stop_planner/debug_marker.hpp"
 #include "obstacle_stop_planner/planner_data.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <motion_utils/trajectory/conversion.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
 #include <pcl_ros/transforms.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -77,13 +77,13 @@ using nav_msgs::msg::Odometry;
 using sensor_msgs::msg::PointCloud2;
 using std_msgs::msg::Header;
 
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
+using autoware::universe_utils::StopWatch;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_perception_msgs::msg::PredictedObjects;
 using autoware_planning_msgs::msg::Trajectory;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
-using tier4_autoware_utils::StopWatch;
 using tier4_debug_msgs::msg::BoolStamped;
 using tier4_debug_msgs::msg::Float32MultiArrayStamped;
 using tier4_debug_msgs::msg::Float32Stamped;
@@ -315,9 +315,9 @@ class ObstacleStopPlannerNode : public rclcpp::Node
     return ret;
   }
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 };
 }  // namespace motion_planning
 
diff --git a/planning/obstacle_stop_planner/include/obstacle_stop_planner/planner_utils.hpp b/planning/obstacle_stop_planner/include/obstacle_stop_planner/planner_utils.hpp
index 7b30ac61af46f..c195ff0cc55f3 100644
--- a/planning/obstacle_stop_planner/include/obstacle_stop_planner/planner_utils.hpp
+++ b/planning/obstacle_stop_planner/include/obstacle_stop_planner/planner_utils.hpp
@@ -18,8 +18,8 @@
 
 #include "obstacle_stop_planner/planner_data.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_perception_msgs/msg/predicted_objects.hpp>
 #include <autoware_planning_msgs/msg/trajectory.hpp>
@@ -45,10 +45,10 @@ using geometry_msgs::msg::Pose;
 using geometry_msgs::msg::PoseArray;
 using std_msgs::msg::Header;
 
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 using autoware::vehicle_info_utils::VehicleInfo;
 using autoware_planning_msgs::msg::TrajectoryPoint;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
 
 using TrajectoryPoints = std::vector<TrajectoryPoint>;
 using PointCloud = pcl::PointCloud<pcl::PointXYZ>;
diff --git a/planning/obstacle_stop_planner/package.xml b/planning/obstacle_stop_planner/package.xml
index 39195f2840b81..5aca5efb36384 100644
--- a/planning/obstacle_stop_planner/package.xml
+++ b/planning/obstacle_stop_planner/package.xml
@@ -21,12 +21,13 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_adapi_v1_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_planning_test_manager</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>diagnostic_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>pcl_conversions</depend>
   <depend>pcl_ros</depend>
@@ -39,7 +40,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/obstacle_stop_planner/src/adaptive_cruise_control.cpp b/planning/obstacle_stop_planner/src/adaptive_cruise_control.cpp
index 2931da5830a60..e9058f234e98f 100644
--- a/planning/obstacle_stop_planner/src/adaptive_cruise_control.cpp
+++ b/planning/obstacle_stop_planner/src/adaptive_cruise_control.cpp
@@ -14,7 +14,7 @@
 
 #include "obstacle_stop_planner/adaptive_cruise_control.hpp"
 
-#include "motion_utils/trajectory/trajectory.hpp"
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 
 #include <boost/algorithm/clamp.hpp>
 #include <boost/assert.hpp>
@@ -30,7 +30,7 @@
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
 #endif
 
-#include <tier4_autoware_utils/math/normalization.hpp>
+#include <autoware/universe_utils/math/normalization.hpp>
 
 #include <algorithm>
 #include <limits>
@@ -366,7 +366,8 @@ void AdaptiveCruiseController::calcDistanceToNearestPointOnPath(
   /* get total distance to collision point */
   double dist_to_point = 0;
   // get distance from self to next nearest point
-  dist_to_point += motion_utils::calcSignedArcLength(trajectory, self_pose.position, size_t(1));
+  dist_to_point +=
+    autoware::motion_utils::calcSignedArcLength(trajectory, self_pose.position, size_t(1));
 
   // add distance from next self-nearest-point(=idx:0) to prev point of nearest_point_idx
   for (int i = 1; i < nearest_point_idx - 1; i++) {
@@ -458,7 +459,7 @@ void AdaptiveCruiseController::calculateProjectedVelocityFromObject(
                 object.kinematics.initial_twist_with_covariance.twist.linear.x);
 
   *velocity =
-    obj_vel_norm * std::cos(tier4_autoware_utils::normalizeRadian(obj_vel_yaw - traj_yaw));
+    obj_vel_norm * std::cos(autoware::universe_utils::normalizeRadian(obj_vel_yaw - traj_yaw));
   debug_values_.data.at(DBGVAL::ESTIMATED_VEL_OBJ) = *velocity;
 }
 
@@ -684,8 +685,8 @@ void AdaptiveCruiseController::insertMaxVelocityToPath(
   double dist_to_first_point = 0.0;
 
   if (output_trajectory->size() > 1) {
-    dist_to_first_point =
-      motion_utils::calcSignedArcLength(*output_trajectory, self_pose.position, size_t(1));
+    dist_to_first_point = autoware::motion_utils::calcSignedArcLength(
+      *output_trajectory, self_pose.position, size_t(1));
   }
 
   double margin_to_insert = dist_to_collision_point * param_.margin_rate_to_change_vel;
diff --git a/planning/obstacle_stop_planner/src/debug_marker.cpp b/planning/obstacle_stop_planner/src/debug_marker.cpp
index 031c7d79bf4c5..bbb8dadbcee9d 100644
--- a/planning/obstacle_stop_planner/src/debug_marker.cpp
+++ b/planning/obstacle_stop_planner/src/debug_marker.cpp
@@ -14,9 +14,9 @@
 
 #include "obstacle_stop_planner/debug_marker.hpp"
 
-#include <motion_utils/marker/marker_helper.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/ros/marker_helper.hpp>
+#include <autoware/motion_utils/marker/marker_helper.hpp>
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/ros/marker_helper.hpp>
 
 #ifdef ROS_DISTRO_GALACTIC
 #include <tf2_geometry_msgs/tf2_geometry_msgs.h>
@@ -27,16 +27,16 @@
 #include <memory>
 #include <vector>
 
-using motion_utils::createDeletedSlowDownVirtualWallMarker;
-using motion_utils::createDeletedStopVirtualWallMarker;
-using motion_utils::createSlowDownVirtualWallMarker;
-using motion_utils::createStopVirtualWallMarker;
-using tier4_autoware_utils::appendMarkerArray;
-using tier4_autoware_utils::calcOffsetPose;
-using tier4_autoware_utils::createDefaultMarker;
-using tier4_autoware_utils::createMarkerColor;
-using tier4_autoware_utils::createMarkerScale;
-using tier4_autoware_utils::createPoint;
+using autoware::motion_utils::createDeletedSlowDownVirtualWallMarker;
+using autoware::motion_utils::createDeletedStopVirtualWallMarker;
+using autoware::motion_utils::createSlowDownVirtualWallMarker;
+using autoware::motion_utils::createStopVirtualWallMarker;
+using autoware::universe_utils::appendMarkerArray;
+using autoware::universe_utils::calcOffsetPose;
+using autoware::universe_utils::createDefaultMarker;
+using autoware::universe_utils::createMarkerColor;
+using autoware::universe_utils::createMarkerScale;
+using autoware::universe_utils::createPoint;
 
 namespace motion_planning
 {
@@ -54,7 +54,7 @@ ObstacleStopPlannerDebugNode::ObstacleStopPlannerDebugNode(
 }
 
 bool ObstacleStopPlannerDebugNode::pushPolygon(
-  const tier4_autoware_utils::Polygon2d & polygon, const double z, const PolygonType & type)
+  const autoware::universe_utils::Polygon2d & polygon, const double z, const PolygonType & type)
 {
   std::vector<Eigen::Vector3d> eigen_polygon;
   for (const auto & point : polygon.outer()) {
@@ -100,7 +100,7 @@ bool ObstacleStopPlannerDebugNode::pushPolygon(
 }
 
 bool ObstacleStopPlannerDebugNode::pushPolyhedron(
-  const tier4_autoware_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
+  const autoware::universe_utils::Polygon2d & polyhedron, const double z_min, const double z_max,
   const PolygonType & type)
 {
   std::vector<Eigen::Vector3d> eigen_polyhedron;
diff --git a/planning/obstacle_stop_planner/src/node.cpp b/planning/obstacle_stop_planner/src/node.cpp
index 3a269d738e02d..f3814a2a06a52 100644
--- a/planning/obstacle_stop_planner/src/node.cpp
+++ b/planning/obstacle_stop_planner/src/node.cpp
@@ -40,17 +40,17 @@
 
 namespace motion_planning
 {
+using autoware::motion_utils::calcLongitudinalOffsetPose;
+using autoware::motion_utils::calcLongitudinalOffsetToSegment;
+using autoware::motion_utils::calcSignedArcLength;
+using autoware::motion_utils::findFirstNearestIndexWithSoftConstraints;
+using autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::createPoint;
+using autoware::universe_utils::getPoint;
+using autoware::universe_utils::getPose;
+using autoware::universe_utils::getRPY;
 using autoware_perception_msgs::msg::PredictedObject;
-using motion_utils::calcLongitudinalOffsetPose;
-using motion_utils::calcLongitudinalOffsetToSegment;
-using motion_utils::calcSignedArcLength;
-using motion_utils::findFirstNearestIndexWithSoftConstraints;
-using motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::createPoint;
-using tier4_autoware_utils::getPoint;
-using tier4_autoware_utils::getPose;
-using tier4_autoware_utils::getRPY;
 
 ObstacleStopPlannerNode::ObstacleStopPlannerNode(const rclcpp::NodeOptions & node_options)
 : Node("obstacle_stop_planner", node_options)
@@ -245,8 +245,9 @@ ObstacleStopPlannerNode::ObstacleStopPlannerNode(const rclcpp::NodeOptions & nod
     std::bind(&ObstacleStopPlannerNode::onExpandStopRange, this, std::placeholders::_1),
     createSubscriptionOptions(this));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
 }
 
 void ObstacleStopPlannerNode::onPointCloud(const PointCloud2::ConstSharedPtr input_msg)
@@ -325,7 +326,8 @@ void ObstacleStopPlannerNode::onTrigger(const Trajectory::ConstSharedPtr input_m
   const auto current_acc = current_acceleration_ptr->accel.accel.linear.x;
 
   // TODO(someone): support backward path
-  const auto is_driving_forward = motion_utils::isDrivingForwardWithTwist(input_msg->points);
+  const auto is_driving_forward =
+    autoware::motion_utils::isDrivingForwardWithTwist(input_msg->points);
   is_driving_forward_ = is_driving_forward ? is_driving_forward.value() : is_driving_forward_;
   if (!is_driving_forward_) {
     RCLCPP_WARN_THROTTLE(
@@ -341,11 +343,11 @@ void ObstacleStopPlannerNode::onTrigger(const Trajectory::ConstSharedPtr input_m
 
   Trajectory output_trajectory = *input_msg;
   TrajectoryPoints output_trajectory_points =
-    motion_utils::convertToTrajectoryPointArray(*input_msg);
+    autoware::motion_utils::convertToTrajectoryPointArray(*input_msg);
 
   // trim trajectory from self pose
   TrajectoryPoints base_trajectory = trimTrajectoryWithIndexFromSelfPose(
-    motion_utils::convertToTrajectoryPointArray(*input_msg), planner_data.current_pose,
+    autoware::motion_utils::convertToTrajectoryPointArray(*input_msg), planner_data.current_pose,
     planner_data.trajectory_trim_index);
 
   // extend trajectory to consider obstacles after the goal
@@ -377,7 +379,7 @@ void ObstacleStopPlannerNode::onTrigger(const Trajectory::ConstSharedPtr input_m
     resetExternalVelocityLimit(current_acc, current_vel);
   }
 
-  auto trajectory = motion_utils::convertToTrajectory(output_trajectory_points);
+  auto trajectory = autoware::motion_utils::convertToTrajectory(output_trajectory_points);
   publishDebugData(planner_data, current_acc, current_vel);
 
   trajectory.header = input_msg->header;
@@ -1555,10 +1557,10 @@ void ObstacleStopPlannerNode::filterObstacles(
 
     // Check is it near to trajectory
     const double max_length = calcObstacleMaxLength(object.shape);
-    const size_t seg_idx = motion_utils::findNearestSegmentIndex(
+    const size_t seg_idx = autoware::motion_utils::findNearestSegmentIndex(
       traj, object.kinematics.initial_pose_with_covariance.pose.position);
-    const auto p_front = tier4_autoware_utils::getPoint(traj.at(seg_idx));
-    const auto p_back = tier4_autoware_utils::getPoint(traj.at(seg_idx + 1));
+    const auto p_front = autoware::universe_utils::getPoint(traj.at(seg_idx));
+    const auto p_back = autoware::universe_utils::getPoint(traj.at(seg_idx + 1));
     const auto & p_target = object.kinematics.initial_pose_with_covariance.pose.position;
     const Eigen::Vector3d segment_vec{p_back.x - p_front.x, p_back.y - p_front.y, 0.0};
     const Eigen::Vector3d target_vec{p_target.x - p_front.x, p_target.y - p_front.y, 0.0};
diff --git a/planning/obstacle_stop_planner/src/planner_utils.cpp b/planning/obstacle_stop_planner/src/planner_utils.cpp
index 3e2ecca8ec4d7..fd8922c500318 100644
--- a/planning/obstacle_stop_planner/src/planner_utils.cpp
+++ b/planning/obstacle_stop_planner/src/planner_utils.cpp
@@ -14,10 +14,10 @@
 
 #include "obstacle_stop_planner/planner_utils.hpp"
 
-#include <motion_utils/distance/distance.hpp>
-#include <motion_utils/trajectory/conversion.hpp>
-#include <motion_utils/trajectory/trajectory.hpp>
-#include <tier4_autoware_utils/geometry/boost_polygon_utils.hpp>
+#include <autoware/motion_utils/distance/distance.hpp>
+#include <autoware/motion_utils/trajectory/conversion.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
+#include <autoware/universe_utils/geometry/boost_polygon_utils.hpp>
 
 #include <diagnostic_msgs/msg/key_value.hpp>
 
@@ -32,13 +32,13 @@
 namespace motion_planning
 {
 
+using autoware::motion_utils::calcDecelDistWithJerkAndAccConstraints;
+using autoware::motion_utils::findFirstNearestIndexWithSoftConstraints;
+using autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
+using autoware::universe_utils::calcDistance2d;
+using autoware::universe_utils::getRPY;
 using autoware_perception_msgs::msg::PredictedObject;
 using autoware_perception_msgs::msg::PredictedObjects;
-using motion_utils::calcDecelDistWithJerkAndAccConstraints;
-using motion_utils::findFirstNearestIndexWithSoftConstraints;
-using motion_utils::findFirstNearestSegmentIndexWithSoftConstraints;
-using tier4_autoware_utils::calcDistance2d;
-using tier4_autoware_utils::getRPY;
 
 std::optional<std::pair<double, double>> calcFeasibleMarginAndVelocity(
   const SlowDownParam & slow_down_param, const double dist_baselink_to_obstacle,
@@ -325,40 +325,42 @@ void createOneStepPolygon(
   const double rear_overhang = vehicle_info.rear_overhang_m;
 
   {  // base step
-    appendPointToPolygon(
-      polygon, tier4_autoware_utils::calcOffsetPose(base_step_pose, longitudinal_offset, width, 0.0)
-                 .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, longitudinal_offset, -width, 0.0)
+      autoware::universe_utils::calcOffsetPose(base_step_pose, longitudinal_offset, width, 0.0)
         .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, -rear_overhang, -width, 0.0).position);
+      autoware::universe_utils::calcOffsetPose(base_step_pose, longitudinal_offset, -width, 0.0)
+        .position);
     appendPointToPolygon(
-      polygon,
-      tier4_autoware_utils::calcOffsetPose(base_step_pose, -rear_overhang, width, 0.0).position);
+      polygon, autoware::universe_utils::calcOffsetPose(base_step_pose, -rear_overhang, -width, 0.0)
+                 .position);
+    appendPointToPolygon(
+      polygon, autoware::universe_utils::calcOffsetPose(base_step_pose, -rear_overhang, width, 0.0)
+                 .position);
   }
 
   {  // next step
-    appendPointToPolygon(
-      polygon, tier4_autoware_utils::calcOffsetPose(next_step_pose, longitudinal_offset, width, 0.0)
-                 .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, longitudinal_offset, -width, 0.0)
+      autoware::universe_utils::calcOffsetPose(next_step_pose, longitudinal_offset, width, 0.0)
         .position);
     appendPointToPolygon(
       polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, -rear_overhang, -width, 0.0).position);
+      autoware::universe_utils::calcOffsetPose(next_step_pose, longitudinal_offset, -width, 0.0)
+        .position);
     appendPointToPolygon(
-      polygon,
-      tier4_autoware_utils::calcOffsetPose(next_step_pose, -rear_overhang, width, 0.0).position);
+      polygon, autoware::universe_utils::calcOffsetPose(next_step_pose, -rear_overhang, -width, 0.0)
+                 .position);
+    appendPointToPolygon(
+      polygon, autoware::universe_utils::calcOffsetPose(next_step_pose, -rear_overhang, width, 0.0)
+                 .position);
   }
 
-  polygon = tier4_autoware_utils::isClockwise(polygon)
+  polygon = autoware::universe_utils::isClockwise(polygon)
               ? polygon
-              : tier4_autoware_utils::inverseClockwise(polygon);
+              : autoware::universe_utils::inverseClockwise(polygon);
 
   boost::geometry::convex_hull(polygon, hull_polygon);
 }
@@ -550,7 +552,7 @@ double getNearestPointAndDistanceForPredictedObject(
   bool is_init = false;
 
   for (const auto & p : points.poses) {
-    double norm = tier4_autoware_utils::calcDistance2d(p, base_pose);
+    double norm = autoware::universe_utils::calcDistance2d(p, base_pose);
     if (norm < min_norm || !is_init) {
       min_norm = norm;
       *nearest_collision_point = p.position;
@@ -625,9 +627,9 @@ Polygon2d convertBoundingBoxObjectToGeometryPolygon(
   object_polygon.outer().emplace_back(p4_obj.x(), p4_obj.y());
 
   object_polygon.outer().push_back(object_polygon.outer().front());
-  object_polygon = tier4_autoware_utils::isClockwise(object_polygon)
+  object_polygon = autoware::universe_utils::isClockwise(object_polygon)
                      ? object_polygon
-                     : tier4_autoware_utils::inverseClockwise(object_polygon);
+                     : autoware::universe_utils::inverseClockwise(object_polygon);
   return object_polygon;
 }
 
@@ -648,9 +650,9 @@ Polygon2d convertCylindricalObjectToGeometryPolygon(
   }
 
   object_polygon.outer().push_back(object_polygon.outer().front());
-  object_polygon = tier4_autoware_utils::isClockwise(object_polygon)
+  object_polygon = autoware::universe_utils::isClockwise(object_polygon)
                      ? object_polygon
-                     : tier4_autoware_utils::inverseClockwise(object_polygon);
+                     : autoware::universe_utils::inverseClockwise(object_polygon);
   return object_polygon;
 }
 
@@ -668,9 +670,9 @@ Polygon2d convertPolygonObjectToGeometryPolygon(
     object_polygon.outer().emplace_back(tf_obj.x(), tf_obj.y());
   }
   object_polygon.outer().push_back(object_polygon.outer().front());
-  object_polygon = tier4_autoware_utils::isClockwise(object_polygon)
+  object_polygon = autoware::universe_utils::isClockwise(object_polygon)
                      ? object_polygon
-                     : tier4_autoware_utils::inverseClockwise(object_polygon);
+                     : autoware::universe_utils::inverseClockwise(object_polygon);
   return object_polygon;
 }
 
@@ -690,7 +692,7 @@ std::optional<PredictedObject> getObstacleFromUuid(
 
 bool isFrontObstacle(const Pose & ego_pose, const geometry_msgs::msg::Point & obstacle_pos)
 {
-  const auto yaw = tier4_autoware_utils::getRPY(ego_pose).z;
+  const auto yaw = autoware::universe_utils::getRPY(ego_pose).z;
   const Eigen::Vector2d base_pose_vec(std::cos(yaw), std::sin(yaw));
   const Eigen::Vector2d obstacle_vec(
     obstacle_pos.x - ego_pose.position.x, obstacle_pos.y - ego_pose.position.y);
diff --git a/planning/sampling_based_planner/autoware_frenet_planner/include/autoware_frenet_planner/frenet_planner.hpp b/planning/sampling_based_planner/autoware_frenet_planner/include/autoware_frenet_planner/frenet_planner.hpp
index 88eb2f3244e40..0dd4c74ddbb06 100644
--- a/planning/sampling_based_planner/autoware_frenet_planner/include/autoware_frenet_planner/frenet_planner.hpp
+++ b/planning/sampling_based_planner/autoware_frenet_planner/include/autoware_frenet_planner/frenet_planner.hpp
@@ -15,10 +15,10 @@
 #ifndef AUTOWARE_FRENET_PLANNER__FRENET_PLANNER_HPP_
 #define AUTOWARE_FRENET_PLANNER__FRENET_PLANNER_HPP_
 
+#include "autoware/universe_utils/geometry/geometry.hpp"
 #include "autoware_frenet_planner/structures.hpp"
 #include "autoware_sampler_common/structures.hpp"
 #include "autoware_sampler_common/transform/spline_transform.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
 
 #include <optional>
 #include <vector>
diff --git a/planning/sampling_based_planner/autoware_frenet_planner/src/frenet_planner/frenet_planner.cpp b/planning/sampling_based_planner/autoware_frenet_planner/src/frenet_planner/frenet_planner.cpp
index ba3156c6b085d..1f05fc93138a2 100644
--- a/planning/sampling_based_planner/autoware_frenet_planner/src/frenet_planner/frenet_planner.cpp
+++ b/planning/sampling_based_planner/autoware_frenet_planner/src/frenet_planner/frenet_planner.cpp
@@ -176,7 +176,7 @@ void calculateCartesian(
       pose.position.x = it->x();
       pose.position.y = it->y();
       pose.position.z = 0.0;
-      pose.orientation = tier4_autoware_utils::createQuaternionFromRPY(0.0, 0.0, yaw);
+      pose.orientation = autoware::universe_utils::createQuaternionFromRPY(0.0, 0.0, yaw);
       path.poses.push_back(pose);
     }
     path.yaws.push_back(path.yaws.back());
diff --git a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/common_structs.hpp b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/common_structs.hpp
index 5a8183d8e5926..101d135dcf8bf 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/common_structs.hpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/common_structs.hpp
@@ -15,13 +15,13 @@
 #ifndef AUTOWARE_PATH_SAMPLER__COMMON_STRUCTS_HPP_
 #define AUTOWARE_PATH_SAMPLER__COMMON_STRUCTS_HPP_
 
+#include "autoware/universe_utils/ros/update_param.hpp"
+#include "autoware/universe_utils/system/stop_watch.hpp"
 #include "autoware_path_sampler/type_alias.hpp"
 #include "autoware_sampler_common/structures.hpp"
 #include "rclcpp/rclcpp.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
-#include "tier4_autoware_utils/system/stop_watch.hpp"
 
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 
 #include <memory>
 #include <optional>
@@ -80,7 +80,7 @@ struct TimeKeeper
   std::string accumulated_msg = "\n";
   std::stringstream latest_stream;
 
-  tier4_autoware_utils::StopWatch<
+  autoware::universe_utils::StopWatch<
     std::chrono::milliseconds, std::chrono::microseconds, std::chrono::steady_clock>
     stop_watch_;
 };
@@ -89,8 +89,8 @@ struct DebugData
 {
   std::vector<autoware::sampler_common::Path> sampled_candidates{};
   size_t previous_sampled_candidates_nb = 0UL;
-  std::vector<tier4_autoware_utils::Polygon2d> obstacles{};
-  std::vector<tier4_autoware_utils::MultiPoint2d> footprints{};
+  std::vector<autoware::universe_utils::Polygon2d> obstacles{};
+  std::vector<autoware::universe_utils::MultiPoint2d> footprints{};
 };
 
 struct TrajectoryParam
@@ -103,7 +103,7 @@ struct TrajectoryParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
 
     // common
     updateParam<double>(parameters, "common.output_delta_arc_length", output_delta_arc_length);
@@ -123,7 +123,7 @@ struct EgoNearestParam
 
   void onParam(const std::vector<rclcpp::Parameter> & parameters)
   {
-    using tier4_autoware_utils::updateParam;
+    using autoware::universe_utils::updateParam;
     updateParam<double>(parameters, "ego_nearest_dist_threshold", dist_threshold);
     updateParam<double>(parameters, "ego_nearest_yaw_threshold", yaw_threshold);
   }
diff --git a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/node.hpp b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/node.hpp
index 780c71b1ab9cd..ac0686d177dfb 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/node.hpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/node.hpp
@@ -22,8 +22,8 @@
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
 #include "rclcpp/rclcpp.hpp"
 
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 #include <autoware_sampler_common/structures.hpp>
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
 
 #include <algorithm>
 #include <memory>
@@ -62,8 +62,9 @@ class PathSampler : public rclcpp::Node
 
   // interface subscriber
   rclcpp::Subscription<Path>::SharedPtr path_sub_;
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> odom_sub_{this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<PredictedObjects> objects_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> odom_sub_{
+    this, "~/input/odometry"};
+  autoware::universe_utils::InterProcessPollingSubscriber<PredictedObjects> objects_sub_{
     this, "~/input/objects"};
 
   // debug publisher
diff --git a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/geometry_utils.hpp b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/geometry_utils.hpp
index b6c63eeffed18..a27dd1576c90d 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/geometry_utils.hpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/geometry_utils.hpp
@@ -15,6 +15,7 @@
 #ifndef AUTOWARE_PATH_SAMPLER__UTILS__GEOMETRY_UTILS_HPP_
 #define AUTOWARE_PATH_SAMPLER__UTILS__GEOMETRY_UTILS_HPP_
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "autoware_path_sampler/common_structs.hpp"
 #include "autoware_path_sampler/type_alias.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
@@ -22,7 +23,6 @@
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -42,8 +42,8 @@ namespace geometry_utils
 template <typename T1, typename T2>
 bool isSamePoint(const T1 & t1, const T2 & t2)
 {
-  const auto p1 = tier4_autoware_utils::getPoint(t1);
-  const auto p2 = tier4_autoware_utils::getPoint(t2);
+  const auto p1 = autoware::universe_utils::getPoint(t1);
+  const auto p2 = autoware::universe_utils::getPoint(t2);
 
   constexpr double epsilon = 1e-6;
   if (epsilon < std::abs(p1.x - p2.x) || epsilon < std::abs(p1.y - p2.y)) {
diff --git a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/trajectory_utils.hpp b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/trajectory_utils.hpp
index 4f346ae910f44..edcb8c2b22061 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/trajectory_utils.hpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/include/autoware_path_sampler/utils/trajectory_utils.hpp
@@ -15,6 +15,7 @@
 #ifndef AUTOWARE_PATH_SAMPLER__UTILS__TRAJECTORY_UTILS_HPP_
 #define AUTOWARE_PATH_SAMPLER__UTILS__TRAJECTORY_UTILS_HPP_
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
 #include "autoware_path_sampler/common_structs.hpp"
 #include "autoware_path_sampler/type_alias.hpp"
 #include "autoware_sampler_common/structures.hpp"
@@ -22,7 +23,6 @@
 #include "interpolation/linear_interpolation.hpp"
 #include "interpolation/spline_interpolation.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
 #include "autoware_planning_msgs/msg/trajectory.hpp"
@@ -47,12 +47,12 @@ std::optional<size_t> getPointIndexAfter(
   }
 
   double sum_length =
-    -motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
+    -autoware::motion_utils::calcLongitudinalOffsetToSegment(points, target_seg_idx, target_pos);
 
   // search forward
   if (sum_length < offset) {
     for (size_t i = target_seg_idx + 1; i < points.size(); ++i) {
-      sum_length += tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+      sum_length += autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
       if (offset < sum_length) {
         return i - 1;
       }
@@ -64,7 +64,7 @@ std::optional<size_t> getPointIndexAfter(
   // search backward
   for (size_t i = target_seg_idx; 0 < i;
        --i) {  // NOTE: use size_t since i is always positive value
-    sum_length -= tier4_autoware_utils::calcDistance2d(points.at(i), points.at(i - 1));
+    sum_length -= autoware::universe_utils::calcDistance2d(points.at(i), points.at(i - 1));
     if (sum_length < offset) {
       return i - 1;
     }
@@ -77,7 +77,7 @@ template <typename T>
 TrajectoryPoint convertToTrajectoryPoint(const T & point)
 {
   TrajectoryPoint traj_point;
-  traj_point.pose = tier4_autoware_utils::getPose(point);
+  traj_point.pose = autoware::universe_utils::getPose(point);
   traj_point.longitudinal_velocity_mps = point.longitudinal_velocity_mps;
   traj_point.lateral_velocity_mps = point.lateral_velocity_mps;
   traj_point.heading_rate_rps = point.heading_rate_rps;
@@ -126,7 +126,7 @@ size_t findEgoIndex(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & ego_pose,
   const EgoNearestParam & ego_nearest_param)
 {
-  return motion_utils::findFirstNearestIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestIndexWithSoftConstraints(
     points, ego_pose, ego_nearest_param.dist_threshold, ego_nearest_param.yaw_threshold);
 }
 
@@ -135,7 +135,7 @@ size_t findEgoSegmentIndex(
   const std::vector<T> & points, const geometry_msgs::msg::Pose & ego_pose,
   const EgoNearestParam & ego_nearest_param)
 {
-  return motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
+  return autoware::motion_utils::findFirstNearestSegmentIndexWithSoftConstraints(
     points, ego_pose, ego_nearest_param.dist_threshold, ego_nearest_param.yaw_threshold);
 }
 
@@ -152,13 +152,13 @@ std::optional<size_t> updateFrontPointForFix(
 {
   // calculate front point to insert in points as a fixed point
   const size_t front_seg_idx_for_fix = trajectory_utils::findEgoSegmentIndex(
-    points_for_fix, tier4_autoware_utils::getPose(points.front()), ego_nearest_param);
+    points_for_fix, autoware::universe_utils::getPose(points.front()), ego_nearest_param);
   const size_t front_point_idx_for_fix = front_seg_idx_for_fix;
   const auto & front_fix_point = points_for_fix.at(front_point_idx_for_fix);
 
   // check if the points_for_fix is longer in front than points
   const double lon_offset_to_prev_front =
-    motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
+    autoware::motion_utils::calcSignedArcLength(points, 0, front_fix_point.pose.position);
   if (0 < lon_offset_to_prev_front) {
     RCLCPP_WARN(
       rclcpp::get_logger("autoware_path_sampler.trajectory_utils"),
@@ -166,7 +166,7 @@ std::optional<size_t> updateFrontPointForFix(
     return std::nullopt;
   }
 
-  const double dist = tier4_autoware_utils::calcDistance2d(points.front(), front_fix_point);
+  const double dist = autoware::universe_utils::calcDistance2d(points.front(), front_fix_point);
 
   // check if deviation is not too large
   constexpr double max_lat_error = 3.0;
diff --git a/planning/sampling_based_planner/autoware_path_sampler/package.xml b/planning/sampling_based_planner/autoware_path_sampler/package.xml
index a48e6c0b836bc..26f85631d569f 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/package.xml
+++ b/planning/sampling_based_planner/autoware_path_sampler/package.xml
@@ -15,18 +15,18 @@
 
   <depend>autoware_bezier_sampler</depend>
   <depend>autoware_frenet_planner</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>interpolation</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_planning_msgs</depend>
   <depend>visualization_msgs</depend>
diff --git a/planning/sampling_based_planner/autoware_path_sampler/src/node.cpp b/planning/sampling_based_planner/autoware_path_sampler/src/node.cpp
index a7ca2035e1474..15d7e883a31d2 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/src/node.cpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/src/node.cpp
@@ -14,6 +14,8 @@
 
 #include "autoware_path_sampler/node.hpp"
 
+#include "autoware/motion_utils/marker/marker_helper.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 #include "autoware_path_sampler/path_generation.hpp"
 #include "autoware_path_sampler/prepare_inputs.hpp"
 #include "autoware_path_sampler/utils/geometry_utils.hpp"
@@ -21,8 +23,6 @@
 #include "autoware_sampler_common/constraints/hard_constraint.hpp"
 #include "autoware_sampler_common/constraints/soft_constraint.hpp"
 #include "interpolation/spline_interpolation_points_2d.hpp"
-#include "motion_utils/marker/marker_helper.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
 #include "rclcpp/time.hpp"
 
 #include <boost/geometry/algorithms/distance.hpp>
@@ -144,7 +144,7 @@ PathSampler::PathSampler(const rclcpp::NodeOptions & node_options)
 rcl_interfaces::msg::SetParametersResult PathSampler::onParam(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
 
   updateParam(parameters, "constraints.hard.max_curvature", params_.constraints.hard.max_curvature);
   updateParam(parameters, "constraints.hard.min_curvature", params_.constraints.hard.min_curvature);
@@ -239,7 +239,7 @@ void PathSampler::onPath(const Path::SharedPtr path_ptr)
 
   // 0. return if path is backward
   // TODO(Maxime): support backward path
-  if (!motion_utils::isDrivingForward(path_ptr->points)) {
+  if (!autoware::motion_utils::isDrivingForward(path_ptr->points)) {
     RCLCPP_WARN_THROTTLE(
       get_logger(), *get_clock(), 5000,
       "Backward path is NOT supported. Just converting path to trajectory");
@@ -251,12 +251,13 @@ void PathSampler::onPath(const Path::SharedPtr path_ptr)
   // 3. extend trajectory to connect the optimized trajectory and the following path smoothly
   if (!generated_traj_points.empty()) {
     const auto output_traj_msg =
-      motion_utils::convertToTrajectory(generated_traj_points, path_ptr->header);
+      autoware::motion_utils::convertToTrajectory(generated_traj_points, path_ptr->header);
     traj_pub_->publish(output_traj_msg);
   } else {
     auto stopping_traj = trajectory_utils::convertToTrajectoryPoints(planner_data.traj_points);
     for (auto & p : stopping_traj) p.longitudinal_velocity_mps = 0.0;
-    const auto output_traj_msg = motion_utils::convertToTrajectory(stopping_traj, path_ptr->header);
+    const auto output_traj_msg =
+      autoware::motion_utils::convertToTrajectory(stopping_traj, path_ptr->header);
     traj_pub_->publish(output_traj_msg);
   }
 
@@ -317,14 +318,14 @@ void PathSampler::copyZ(
   to_traj.front().pose.position.z = from_traj.front().pose.position.z;
   if (from_traj.size() < 2 || to_traj.size() < 2) return;
   auto from = from_traj.begin() + 1;
-  auto s_from = tier4_autoware_utils::calcDistance2d(from->pose, std::next(from)->pose);
+  auto s_from = autoware::universe_utils::calcDistance2d(from->pose, std::next(from)->pose);
   auto s_to = 0.0;
   auto s_from_prev = 0.0;
   for (auto to = to_traj.begin() + 1; to + 1 != to_traj.end(); ++to) {
-    s_to += tier4_autoware_utils::calcDistance2d(std::prev(to)->pose, to->pose);
+    s_to += autoware::universe_utils::calcDistance2d(std::prev(to)->pose, to->pose);
     for (; s_from < s_to && from + 1 != from_traj.end(); ++from) {
       s_from_prev = s_from;
-      s_from += tier4_autoware_utils::calcDistance2d(from->pose, std::next(from)->pose);
+      s_from += autoware::universe_utils::calcDistance2d(from->pose, std::next(from)->pose);
     }
     const auto ratio = (s_to - s_from_prev) / (s_from - s_from_prev);
     to->pose.position.z = std::prev(from)->pose.position.z +
@@ -340,8 +341,8 @@ void PathSampler::copyVelocity(
   if (to_traj.empty() || from_traj.empty()) return;
 
   const auto closest_fn = [&](const auto & p1, const auto & p2) {
-    return tier4_autoware_utils::calcDistance2d(p1.pose, ego_pose) <=
-           tier4_autoware_utils::calcDistance2d(p2.pose, ego_pose);
+    return autoware::universe_utils::calcDistance2d(p1.pose, ego_pose) <=
+           autoware::universe_utils::calcDistance2d(p2.pose, ego_pose);
   };
   const auto first_from = std::min_element(from_traj.begin(), from_traj.end() - 1, closest_fn);
   const auto first_to = std::min_element(to_traj.begin(), to_traj.end() - 1, closest_fn);
@@ -351,14 +352,14 @@ void PathSampler::copyVelocity(
     to->longitudinal_velocity_mps = first_from->longitudinal_velocity_mps;
 
   auto from = first_from;
-  auto s_from = tier4_autoware_utils::calcDistance2d(from->pose, std::next(from)->pose);
+  auto s_from = autoware::universe_utils::calcDistance2d(from->pose, std::next(from)->pose);
   auto s_to = 0.0;
   auto s_from_prev = 0.0;
   for (; to + 1 != to_traj.end(); ++to) {
-    s_to += tier4_autoware_utils::calcDistance2d(to->pose, std::next(to)->pose);
+    s_to += autoware::universe_utils::calcDistance2d(to->pose, std::next(to)->pose);
     for (; s_from < s_to && from + 1 != from_traj.end(); ++from) {
       s_from_prev = s_from;
-      s_from += tier4_autoware_utils::calcDistance2d(from->pose, std::next(from)->pose);
+      s_from += autoware::universe_utils::calcDistance2d(from->pose, std::next(from)->pose);
     }
     if (
       from->longitudinal_velocity_mps == 0.0 || std::prev(from)->longitudinal_velocity_mps == 0.0) {
@@ -423,8 +424,8 @@ std::vector<autoware::sampler_common::Path> PathSampler::generateCandidatesFromP
       size_t reuse_idx = 0;
       for (reuse_idx = 0; reuse_idx + 1 < prev_path_->lengths.size() &&
                           prev_path_->lengths[reuse_idx] < reuse_length;
-           ++reuse_idx)
-        ;
+           ++reuse_idx) {
+      }
       if (reuse_idx == 0UL) continue;
       const auto reused_path = *prev_path_->subset(0UL, reuse_idx);
       reuse_state.curvature = reused_path.curvatures.back();
@@ -522,7 +523,6 @@ autoware::sampler_common::Path PathSampler::generatePath(const PlannerData & pla
 
 std::vector<TrajectoryPoint> PathSampler::generateTrajectoryPoints(const PlannerData & planner_data)
 {
-  std::vector<TrajectoryPoint> trajectory;
   time_keeper_ptr_->tic(__func__);
   const auto path = generatePath(planner_data);
   return trajectory_utils::convertToTrajectoryPoints(path);
@@ -532,7 +532,7 @@ void PathSampler::publishVirtualWall(const geometry_msgs::msg::Pose & stop_pose)
 {
   time_keeper_ptr_->tic(__func__);
 
-  const auto virtual_wall_marker = motion_utils::createStopVirtualWallMarker(
+  const auto virtual_wall_marker = autoware::motion_utils::createStopVirtualWallMarker(
     stop_pose, "outside drivable area", now(), 0, vehicle_info_.max_longitudinal_offset_m);
 
   virtual_wall_pub_->publish(virtual_wall_marker);
diff --git a/planning/sampling_based_planner/autoware_path_sampler/src/prepare_inputs.cpp b/planning/sampling_based_planner/autoware_path_sampler/src/prepare_inputs.cpp
index 64a09087666ff..06e8ab9042207 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/src/prepare_inputs.cpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/src/prepare_inputs.cpp
@@ -14,11 +14,11 @@
 
 #include "autoware_path_sampler/prepare_inputs.hpp"
 
+#include "autoware/universe_utils/geometry/boost_polygon_utils.hpp"
 #include "autoware_frenet_planner/structures.hpp"
 #include "autoware_path_sampler/utils/geometry_utils.hpp"
 #include "autoware_sampler_common/structures.hpp"
 #include "autoware_sampler_common/transform/spline_transform.hpp"
-#include "tier4_autoware_utils/geometry/boost_polygon_utils.hpp"
 
 #include <eigen3/unsupported/Eigen/Splines>
 
@@ -40,7 +40,7 @@ void prepareConstraints(
   constraints.obstacle_polygons = autoware::sampler_common::MultiPolygon2d();
   for (const auto & o : predicted_objects.objects)
     if (o.kinematics.initial_twist_with_covariance.twist.linear.x < 0.5)  // TODO(Maxime): param
-      constraints.obstacle_polygons.push_back(tier4_autoware_utils::toPolygon2d(o));
+      constraints.obstacle_polygons.push_back(autoware::universe_utils::toPolygon2d(o));
   constraints.dynamic_obstacles = {};  // TODO(Maxime): not implemented
 
   // TODO(Maxime): directly use lines instead of polygon
diff --git a/planning/sampling_based_planner/autoware_path_sampler/src/utils/trajectory_utils.cpp b/planning/sampling_based_planner/autoware_path_sampler/src/utils/trajectory_utils.cpp
index d161d60bc724d..c8ca80b95d284 100644
--- a/planning/sampling_based_planner/autoware_path_sampler/src/utils/trajectory_utils.cpp
+++ b/planning/sampling_based_planner/autoware_path_sampler/src/utils/trajectory_utils.cpp
@@ -14,9 +14,9 @@
 
 #include "autoware_path_sampler/utils/trajectory_utils.hpp"
 
+#include "autoware/motion_utils/resample/resample.hpp"
+#include "autoware/motion_utils/trajectory/conversion.hpp"
 #include "autoware_path_sampler/utils/geometry_utils.hpp"
-#include "motion_utils/resample/resample.hpp"
-#include "motion_utils/trajectory/conversion.hpp"
 #include "tf2/utils.h"
 
 #include "autoware_planning_msgs/msg/path_point.hpp"
@@ -46,12 +46,12 @@ void compensateLastPose(
 
   const geometry_msgs::msg::Pose last_traj_pose = traj_points.back().pose;
 
-  const double dist =
-    tier4_autoware_utils::calcDistance2d(last_path_point.pose.position, last_traj_pose.position);
+  const double dist = autoware::universe_utils::calcDistance2d(
+    last_path_point.pose.position, last_traj_pose.position);
   const double norm_diff_yaw = [&]() {
     const double diff_yaw =
       tf2::getYaw(last_path_point.pose.orientation) - tf2::getYaw(last_traj_pose.orientation);
-    return tier4_autoware_utils::normalizeRadian(diff_yaw);
+    return autoware::universe_utils::normalizeRadian(diff_yaw);
   }();
   if (dist > delta_dist_threshold || std::fabs(norm_diff_yaw) > delta_yaw_threshold) {
     traj_points.push_back(convertToTrajectoryPoint(last_path_point));
@@ -63,10 +63,10 @@ std::vector<TrajectoryPoint> resampleTrajectoryPoints(
 {
   constexpr bool enable_resampling_stop_point = true;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 // NOTE: stop point will not be resampled
@@ -75,17 +75,17 @@ std::vector<TrajectoryPoint> resampleTrajectoryPointsWithoutStopPoint(
 {
   constexpr bool enable_resampling_stop_point = false;
 
-  const auto traj = motion_utils::convertToTrajectory(traj_points);
-  const auto resampled_traj = motion_utils::resampleTrajectory(
+  const auto traj = autoware::motion_utils::convertToTrajectory(traj_points);
+  const auto resampled_traj = autoware::motion_utils::resampleTrajectory(
     traj, interval, false, true, true, enable_resampling_stop_point);
-  return motion_utils::convertToTrajectoryPointArray(resampled_traj);
+  return autoware::motion_utils::convertToTrajectoryPointArray(resampled_traj);
 }
 
 void insertStopPoint(
   std::vector<TrajectoryPoint> & traj_points, const geometry_msgs::msg::Pose & input_stop_pose,
   const size_t stop_seg_idx)
 {
-  const double offset_to_segment = motion_utils::calcLongitudinalOffsetToSegment(
+  const double offset_to_segment = autoware::motion_utils::calcLongitudinalOffsetToSegment(
     traj_points, stop_seg_idx, input_stop_pose.position);
 
   const auto traj_spline = SplineInterpolationPoints2d(traj_points);
diff --git a/planning/sampling_based_planner/autoware_sampler_common/include/autoware_sampler_common/structures.hpp b/planning/sampling_based_planner/autoware_sampler_common/include/autoware_sampler_common/structures.hpp
index a3ba25b6594e9..29b3f5a8fc145 100644
--- a/planning/sampling_based_planner/autoware_sampler_common/include/autoware_sampler_common/structures.hpp
+++ b/planning/sampling_based_planner/autoware_sampler_common/include/autoware_sampler_common/structures.hpp
@@ -15,7 +15,7 @@
 #ifndef AUTOWARE_SAMPLER_COMMON__STRUCTURES_HPP_
 #define AUTOWARE_SAMPLER_COMMON__STRUCTURES_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 #include <eigen3/Eigen/Core>
 #include <interpolation/linear_interpolation.hpp>
@@ -38,13 +38,13 @@
 
 namespace autoware::sampler_common
 {
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::MultiPolygon2d;
-using tier4_autoware_utils::Point2d;
-using tier4_autoware_utils::Polygon2d;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::MultiPolygon2d;
+using autoware::universe_utils::Point2d;
+using autoware::universe_utils::Polygon2d;
 
-typedef std::pair<tier4_autoware_utils::Box2d, size_t> BoxIndexPair;
+typedef std::pair<autoware::universe_utils::Box2d, size_t> BoxIndexPair;
 typedef boost::geometry::index::rtree<BoxIndexPair, boost::geometry::index::rstar<16, 4>> Rtree;
 
 /// @brief data about constraint check results of a given path
diff --git a/sensing/image_diagnostics/package.xml b/sensing/image_diagnostics/package.xml
index ceb1283b115a5..00d2751b86aa1 100644
--- a/sensing/image_diagnostics/package.xml
+++ b/sensing/image_diagnostics/package.xml
@@ -12,13 +12,13 @@
 
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>cv_bridge</depend>
   <depend>diagnostic_updater</depend>
   <depend>image_transport</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>sensor_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/sensing/imu_corrector/package.xml b/sensing/imu_corrector/package.xml
index 3dff79bbf9f7f..cbc28e2ff0eeb 100644
--- a/sensing/imu_corrector/package.xml
+++ b/sensing/imu_corrector/package.xml
@@ -13,6 +13,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -20,7 +21,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_gmock</test_depend>
   <test_depend>ament_cmake_gtest</test_depend>
diff --git a/sensing/imu_corrector/src/gyro_bias_estimation_module.cpp b/sensing/imu_corrector/src/gyro_bias_estimation_module.cpp
index 9b5719de69524..7bd6b38490495 100644
--- a/sensing/imu_corrector/src/gyro_bias_estimation_module.cpp
+++ b/sensing/imu_corrector/src/gyro_bias_estimation_module.cpp
@@ -14,7 +14,7 @@
 
 #include "gyro_bias_estimation_module.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -52,15 +52,15 @@ geometry_msgs::msg::Vector3 calculate_error_rpy(
   const geometry_msgs::msg::Vector3 & gyro_bias)
 {
   const geometry_msgs::msg::Vector3 rpy_0 =
-    tier4_autoware_utils::getRPY(pose_list.front().pose.orientation);
+    autoware::universe_utils::getRPY(pose_list.front().pose.orientation);
   const geometry_msgs::msg::Vector3 rpy_1 =
-    tier4_autoware_utils::getRPY(pose_list.back().pose.orientation);
+    autoware::universe_utils::getRPY(pose_list.back().pose.orientation);
   const geometry_msgs::msg::Vector3 d_rpy = integrate_orientation(gyro_list, gyro_bias);
 
   geometry_msgs::msg::Vector3 error_rpy;
-  error_rpy.x = tier4_autoware_utils::normalizeRadian(-rpy_1.x + rpy_0.x + d_rpy.x);
-  error_rpy.y = tier4_autoware_utils::normalizeRadian(-rpy_1.y + rpy_0.y + d_rpy.y);
-  error_rpy.z = tier4_autoware_utils::normalizeRadian(-rpy_1.z + rpy_0.z + d_rpy.z);
+  error_rpy.x = autoware::universe_utils::normalizeRadian(-rpy_1.x + rpy_0.x + d_rpy.x);
+  error_rpy.y = autoware::universe_utils::normalizeRadian(-rpy_1.y + rpy_0.y + d_rpy.y);
+  error_rpy.z = autoware::universe_utils::normalizeRadian(-rpy_1.z + rpy_0.z + d_rpy.z);
   return error_rpy;
 }
 
diff --git a/sensing/imu_corrector/src/gyro_bias_estimator.cpp b/sensing/imu_corrector/src/gyro_bias_estimator.cpp
index d79626f66801b..278d2dfc28e59 100644
--- a/sensing/imu_corrector/src/gyro_bias_estimator.cpp
+++ b/sensing/imu_corrector/src/gyro_bias_estimator.cpp
@@ -14,7 +14,7 @@
 
 #include "gyro_bias_estimator.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <geometry_msgs/msg/transform_stamped.hpp>
 #include <tf2_geometry_msgs/tf2_geometry_msgs.hpp>
@@ -59,7 +59,7 @@ GyroBiasEstimator::GyroBiasEstimator(const rclcpp::NodeOptions & options)
     this->get_node_base_interface()->get_context());
   this->get_node_timers_interface()->add_timer(timer_, nullptr);
 
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
 
   // initialize diagnostics_info_
   {
@@ -150,10 +150,10 @@ void GyroBiasEstimator::timer_callback()
 
   // Check if the vehicle is moving straight
   const geometry_msgs::msg::Vector3 rpy_0 =
-    tier4_autoware_utils::getRPY(pose_buf.front().pose.orientation);
+    autoware::universe_utils::getRPY(pose_buf.front().pose.orientation);
   const geometry_msgs::msg::Vector3 rpy_1 =
-    tier4_autoware_utils::getRPY(pose_buf.back().pose.orientation);
-  const double yaw_diff = std::abs(tier4_autoware_utils::normalizeRadian(rpy_1.z - rpy_0.z));
+    autoware::universe_utils::getRPY(pose_buf.back().pose.orientation);
+  const double yaw_diff = std::abs(autoware::universe_utils::normalizeRadian(rpy_1.z - rpy_0.z));
   const double time_diff = (t1_rclcpp_time - t0_rclcpp_time).seconds();
   const double yaw_vel = yaw_diff / time_diff;
   const bool is_straight = (yaw_vel < straight_motion_ang_vel_upper_limit_);
diff --git a/sensing/imu_corrector/src/gyro_bias_estimator.hpp b/sensing/imu_corrector/src/gyro_bias_estimator.hpp
index 671c18de78f86..1313f2cb06507 100644
--- a/sensing/imu_corrector/src/gyro_bias_estimator.hpp
+++ b/sensing/imu_corrector/src/gyro_bias_estimator.hpp
@@ -14,8 +14,8 @@
 #ifndef GYRO_BIAS_ESTIMATOR_HPP_
 #define GYRO_BIAS_ESTIMATOR_HPP_
 
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "gyro_bias_estimation_module.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -76,7 +76,7 @@ class GyroBiasEstimator : public rclcpp::Node
 
   std::optional<Vector3> gyro_bias_;
 
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   std::string imu_frame_;
 
diff --git a/sensing/imu_corrector/src/imu_corrector_core.cpp b/sensing/imu_corrector/src/imu_corrector_core.cpp
index c8e7698cb4e37..f96bab16443fe 100644
--- a/sensing/imu_corrector/src/imu_corrector_core.cpp
+++ b/sensing/imu_corrector/src/imu_corrector_core.cpp
@@ -25,7 +25,7 @@
 
 std::array<double, 9> transformCovariance(const std::array<double, 9> & cov)
 {
-  using COV_IDX = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
 
   double max_cov = 0.0;
   max_cov = std::max(max_cov, cov[COV_IDX::X_X]);
@@ -57,7 +57,7 @@ ImuCorrector::ImuCorrector(const rclcpp::NodeOptions & options)
 : rclcpp::Node("imu_corrector", options),
   output_frame_(declare_parameter<std::string>("base_link", "base_link"))
 {
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
 
   angular_velocity_offset_x_imu_link_ = declare_parameter<double>("angular_velocity_offset_x", 0.0);
   angular_velocity_offset_y_imu_link_ = declare_parameter<double>("angular_velocity_offset_y", 0.0);
diff --git a/sensing/imu_corrector/src/imu_corrector_core.hpp b/sensing/imu_corrector/src/imu_corrector_core.hpp
index 4d5377274ae78..0dacab4651477 100644
--- a/sensing/imu_corrector/src/imu_corrector_core.hpp
+++ b/sensing/imu_corrector/src/imu_corrector_core.hpp
@@ -14,8 +14,8 @@
 #ifndef IMU_CORRECTOR_CORE_HPP_
 #define IMU_CORRECTOR_CORE_HPP_
 
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -31,7 +31,7 @@ namespace imu_corrector
 {
 class ImuCorrector : public rclcpp::Node
 {
-  using COV_IDX = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
 
 public:
   explicit ImuCorrector(const rclcpp::NodeOptions & options);
@@ -53,7 +53,7 @@ class ImuCorrector : public rclcpp::Node
 
   double accel_stddev_imu_link_;
 
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   std::string output_frame_;
 };
diff --git a/sensing/livox/livox_tag_filter/src/livox_tag_filter_node/livox_tag_filter_node.cpp b/sensing/livox/livox_tag_filter/src/livox_tag_filter_node/livox_tag_filter_node.cpp
index f3216fdcd9b6a..9a131db7d3c8e 100644
--- a/sensing/livox/livox_tag_filter/src/livox_tag_filter_node/livox_tag_filter_node.cpp
+++ b/sensing/livox/livox_tag_filter/src/livox_tag_filter_node/livox_tag_filter_node.cpp
@@ -20,7 +20,7 @@
 #include <utility>
 #include <vector>
 
-struct LivoxPoint
+struct EIGEN_ALIGN16 LivoxPoint
 {
   float x;
   float y;
@@ -28,7 +28,7 @@ struct LivoxPoint
   float intensity;
   std::uint8_t tag;
   std::uint8_t line;
-} EIGEN_ALIGN16;
+};
 
 POINT_CLOUD_REGISTER_POINT_STRUCT(
   LivoxPoint, (float, x, x)(float, y, y)(float, z, z)(float, intensity, intensity)(
diff --git a/sensing/pointcloud_preprocessor/CMakeLists.txt b/sensing/pointcloud_preprocessor/CMakeLists.txt
index ecb84c8a7f3b3..df62f538e9964 100644
--- a/sensing/pointcloud_preprocessor/CMakeLists.txt
+++ b/sensing/pointcloud_preprocessor/CMakeLists.txt
@@ -37,7 +37,7 @@ ament_target_dependencies(pointcloud_preprocessor_filter_base
   rclcpp
   sensor_msgs
   tf2_ros
-  tier4_autoware_utils
+  autoware_universe_utils
   pcl_ros
 )
 
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_and_time_sync_nodelet.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_and_time_sync_nodelet.hpp
index 84b056bec37b7..86c4ed5943540 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_and_time_sync_nodelet.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_and_time_sync_nodelet.hpp
@@ -63,10 +63,10 @@
 // ROS includes
 #include "autoware_point_types/types.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <point_cloud_msg_wrapper/point_cloud_msg_wrapper.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_status.hpp>
 #include <geometry_msgs/msg/twist_stamped.hpp>
@@ -185,8 +185,8 @@ class PointCloudConcatenateDataSynchronizerComponent : public rclcpp::Node
     const std::string & original_topic_name, const std::string & postfix);
 
   /** \brief processing time publisher. **/
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace pointcloud_preprocessor
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_pointclouds.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_pointclouds.hpp
index 4e183a9816c2e..ead66d98b8be7 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_pointclouds.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/concatenate_data/concatenate_pointclouds.hpp
@@ -63,10 +63,10 @@
 // ROS includes
 #include "autoware_point_types/types.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <point_cloud_msg_wrapper/point_cloud_msg_wrapper.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <autoware_vehicle_msgs/msg/velocity_report.hpp>
 #include <diagnostic_msgs/msg/diagnostic_status.hpp>
@@ -172,8 +172,8 @@ class PointCloudConcatenationComponent : public rclcpp::Node
   void checkConcatStatus(diagnostic_updater::DiagnosticStatusWrapper & stat);
 
   /** \brief processing time publisher. **/
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace pointcloud_preprocessor
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/distortion_corrector/distortion_corrector.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/distortion_corrector/distortion_corrector.hpp
index 618957a2ac783..80abba9b5d1a5 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/distortion_corrector/distortion_corrector.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/distortion_corrector/distortion_corrector.hpp
@@ -36,8 +36,8 @@
 #include <tf2_ros/transform_listener.h>
 
 // Include tier4 autoware utils
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <deque>
 #include <memory>
@@ -69,8 +69,8 @@ class DistortionCorrectorComponent : public rclcpp::Node
   rclcpp::Subscription<geometry_msgs::msg::TwistWithCovarianceStamped>::SharedPtr twist_sub_;
   rclcpp::Publisher<PointCloud2>::SharedPtr undistorted_points_pub_;
 
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 
   tf2_ros::Buffer tf2_buffer_{get_clock()};
   tf2_ros::TransformListener tf2_listener_{tf2_buffer_};
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/filter.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/filter.hpp
index 1f23c975a88af..ce003f58dcc49 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/filter.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/filter.hpp
@@ -80,9 +80,9 @@
 #include <tf2_ros/transform_listener.h>
 
 // Include tier4 autoware utils
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/ros/published_time_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/ros/published_time_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 namespace pointcloud_preprocessor
 {
@@ -177,9 +177,9 @@ class Filter : public rclcpp::Node
   std::mutex mutex_;
 
   /** \brief processing time publisher. **/
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
-  std::unique_ptr<tier4_autoware_utils::PublishedTimePublisher> published_time_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::PublishedTimePublisher> published_time_publisher_;
 
   /** \brief Virtual abstract filter method. To be implemented by every child.
    * \param input the input point cloud dataset.
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/time_synchronizer/time_synchronizer_nodelet.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/time_synchronizer/time_synchronizer_nodelet.hpp
index 9330b1e998b5b..4153cee7695f8 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/time_synchronizer/time_synchronizer_nodelet.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/time_synchronizer/time_synchronizer_nodelet.hpp
@@ -63,10 +63,10 @@
 // ROS includes
 #include "autoware_point_types/types.hpp"
 
+#include <autoware/universe_utils/ros/debug_publisher.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <point_cloud_msg_wrapper/point_cloud_msg_wrapper.hpp>
-#include <tier4_autoware_utils/ros/debug_publisher.hpp>
-#include <tier4_autoware_utils/system/stop_watch.hpp>
 
 #include <diagnostic_msgs/msg/diagnostic_status.hpp>
 #include <geometry_msgs/msg/twist_stamped.hpp>
@@ -182,8 +182,8 @@ class PointCloudDataSynchronizerComponent : public rclcpp::Node
     const std::string & original_topic_name, const std::string & postfix);
 
   /** \brief processing time publisher. **/
-  std::unique_ptr<tier4_autoware_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
-  std::unique_ptr<tier4_autoware_utils::DebugPublisher> debug_publisher_;
+  std::unique_ptr<autoware::universe_utils::StopWatch<std::chrono::milliseconds>> stop_watch_ptr_;
+  std::unique_ptr<autoware::universe_utils::DebugPublisher> debug_publisher_;
 };
 
 }  // namespace pointcloud_preprocessor
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/lanelet2_map_filter_nodelet.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/lanelet2_map_filter_nodelet.hpp
index 42078922d39b9..7b27d35509a98 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/lanelet2_map_filter_nodelet.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/lanelet2_map_filter_nodelet.hpp
@@ -15,10 +15,10 @@
 #ifndef POINTCLOUD_PREPROCESSOR__VECTOR_MAP_FILTER__LANELET2_MAP_FILTER_NODELET_HPP_
 #define POINTCLOUD_PREPROCESSOR__VECTOR_MAP_FILTER__LANELET2_MAP_FILTER_NODELET_HPP_
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
 #include <rclcpp/rclcpp.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <autoware_map_msgs/msg/lanelet_map_bin.hpp>
 #include <sensor_msgs/msg/point_cloud2.hpp>
@@ -40,9 +40,9 @@
 #include <string>
 #include <vector>
 
-using tier4_autoware_utils::LinearRing2d;
-using tier4_autoware_utils::MultiPoint2d;
-using tier4_autoware_utils::Point2d;
+using autoware::universe_utils::LinearRing2d;
+using autoware::universe_utils::MultiPoint2d;
+using autoware::universe_utils::Point2d;
 
 namespace pointcloud_preprocessor
 {
diff --git a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/vector_map_inside_area_filter.hpp b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/vector_map_inside_area_filter.hpp
index 760ffbe1eb1dd..d376a47ae8ab0 100644
--- a/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/vector_map_inside_area_filter.hpp
+++ b/sensing/pointcloud_preprocessor/include/pointcloud_preprocessor/vector_map_filter/vector_map_inside_area_filter.hpp
@@ -18,15 +18,15 @@
 #include "pointcloud_preprocessor/filter.hpp"
 #include "pointcloud_preprocessor/utility/utilities.hpp"
 
+#include <autoware/universe_utils/geometry/boost_geometry.hpp>
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
-#include <tier4_autoware_utils/geometry/boost_geometry.hpp>
 
 #include <lanelet2_core/geometry/Polygon.h>
 
 #include <string>
 
-using tier4_autoware_utils::MultiPoint2d;
+using autoware::universe_utils::MultiPoint2d;
 
 namespace pointcloud_preprocessor
 {
diff --git a/sensing/pointcloud_preprocessor/package.xml b/sensing/pointcloud_preprocessor/package.xml
index 619bf3180591d..a669e94ee8aae 100644
--- a/sensing/pointcloud_preprocessor/package.xml
+++ b/sensing/pointcloud_preprocessor/package.xml
@@ -25,6 +25,7 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_point_types</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>cgal</depend>
   <depend>cv_bridge</depend>
   <depend>diagnostic_updater</depend>
@@ -46,7 +47,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_pcl_extensions</depend>
 
diff --git a/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_and_time_sync_nodelet.cpp b/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_and_time_sync_nodelet.cpp
index 402ceb65f6594..e998a79b27f77 100644
--- a/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_and_time_sync_nodelet.cpp
+++ b/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_and_time_sync_nodelet.cpp
@@ -75,8 +75,8 @@ PointCloudConcatenateDataSynchronizerComponent::PointCloudConcatenateDataSynchro
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "concatenate_data_synchronizer");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_pointclouds.cpp b/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_pointclouds.cpp
index 46c9e681c3de2..3586b7c999776 100644
--- a/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_pointclouds.cpp
+++ b/sensing/pointcloud_preprocessor/src/concatenate_data/concatenate_pointclouds.cpp
@@ -37,8 +37,8 @@ PointCloudConcatenationComponent::PointCloudConcatenationComponent(
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "concatenate_pointclouds_debug");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/sensing/pointcloud_preprocessor/src/crop_box_filter/crop_box_filter_nodelet.cpp b/sensing/pointcloud_preprocessor/src/crop_box_filter/crop_box_filter_nodelet.cpp
index cfbeffee9982c..620e9e42a6864 100644
--- a/sensing/pointcloud_preprocessor/src/crop_box_filter/crop_box_filter_nodelet.cpp
+++ b/sensing/pointcloud_preprocessor/src/crop_box_filter/crop_box_filter_nodelet.cpp
@@ -62,8 +62,8 @@ CropBoxFilterComponent::CropBoxFilterComponent(const rclcpp::NodeOptions & optio
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, this->get_name());
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/sensing/pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp b/sensing/pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp
index b90a64dc47c91..e7aa1f24409e6 100644
--- a/sensing/pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp
+++ b/sensing/pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp
@@ -14,7 +14,7 @@
 
 #include "pointcloud_preprocessor/distortion_corrector/distortion_corrector.hpp"
 
-#include "tier4_autoware_utils/math/trigonometry.hpp"
+#include "autoware/universe_utils/math/trigonometry.hpp"
 
 #include <deque>
 #include <string>
@@ -28,8 +28,8 @@ DistortionCorrectorComponent::DistortionCorrectorComponent(const rclcpp::NodeOpt
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "distortion_corrector");
     stop_watch_ptr_->tic("cyclic_time");
@@ -290,11 +290,11 @@ bool DistortionCorrectorComponent::undistortPointCloud(
 
     theta += w * time_offset;
     baselink_quat.setValue(
-      0, 0, tier4_autoware_utils::sin(theta * 0.5f),
-      tier4_autoware_utils::cos(theta * 0.5f));  // baselink_quat.setRPY(0.0, 0.0, theta);
+      0, 0, autoware::universe_utils::sin(theta * 0.5f),
+      autoware::universe_utils::cos(theta * 0.5f));  // baselink_quat.setRPY(0.0, 0.0, theta);
     const float dis = v * time_offset;
-    x += dis * tier4_autoware_utils::cos(theta);
-    y += dis * tier4_autoware_utils::sin(theta);
+    x += dis * autoware::universe_utils::cos(theta);
+    y += dis * autoware::universe_utils::sin(theta);
 
     baselink_tf_odom.setOrigin(tf2::Vector3(x, y, 0.0));
     baselink_tf_odom.setRotation(baselink_quat);
diff --git a/sensing/pointcloud_preprocessor/src/downsample_filter/pickup_based_voxel_grid_downsample_filter.cpp b/sensing/pointcloud_preprocessor/src/downsample_filter/pickup_based_voxel_grid_downsample_filter.cpp
index 6393a935562ac..83c9058fd5fa5 100644
--- a/sensing/pointcloud_preprocessor/src/downsample_filter/pickup_based_voxel_grid_downsample_filter.cpp
+++ b/sensing/pointcloud_preprocessor/src/downsample_filter/pickup_based_voxel_grid_downsample_filter.cpp
@@ -57,8 +57,8 @@ PickupBasedVoxelGridDownsampleFilterComponent::PickupBasedVoxelGridDownsampleFil
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, this->get_name());
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/sensing/pointcloud_preprocessor/src/filter.cpp b/sensing/pointcloud_preprocessor/src/filter.cpp
index 5584fd65c9acb..c9bb6dfc0fc66 100644
--- a/sensing/pointcloud_preprocessor/src/filter.cpp
+++ b/sensing/pointcloud_preprocessor/src/filter.cpp
@@ -102,7 +102,8 @@ pointcloud_preprocessor::Filter::Filter(
   set_param_res_filter_ = this->add_on_set_parameters_callback(
     std::bind(&Filter::filterParamCallback, this, std::placeholders::_1));
 
-  published_time_publisher_ = std::make_unique<tier4_autoware_utils::PublishedTimePublisher>(this);
+  published_time_publisher_ =
+    std::make_unique<autoware::universe_utils::PublishedTimePublisher>(this);
   RCLCPP_DEBUG(this->get_logger(), "[Filter Constructor] successfully created.");
 }
 
diff --git a/sensing/pointcloud_preprocessor/src/outlier_filter/ring_outlier_filter_nodelet.cpp b/sensing/pointcloud_preprocessor/src/outlier_filter/ring_outlier_filter_nodelet.cpp
index ada7d2616ed38..e05f44240b53a 100644
--- a/sensing/pointcloud_preprocessor/src/outlier_filter/ring_outlier_filter_nodelet.cpp
+++ b/sensing/pointcloud_preprocessor/src/outlier_filter/ring_outlier_filter_nodelet.cpp
@@ -29,8 +29,8 @@ RingOutlierFilterComponent::RingOutlierFilterComponent(const rclcpp::NodeOptions
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "ring_outlier_filter");
     outlier_pointcloud_publisher_ =
diff --git a/sensing/pointcloud_preprocessor/src/passthrough_filter/passthrough_uint16.cpp b/sensing/pointcloud_preprocessor/src/passthrough_filter/passthrough_uint16.cpp
index 3a40408bcd8de..d68ba32282351 100644
--- a/sensing/pointcloud_preprocessor/src/passthrough_filter/passthrough_uint16.cpp
+++ b/sensing/pointcloud_preprocessor/src/passthrough_filter/passthrough_uint16.cpp
@@ -242,7 +242,7 @@ void pcl::PassThroughUInt16<pcl::PCLPointCloud2>::applyFilter(PCLPointCloud2 & o
         nr_p++;
       }
       output.width = nr_p;
-    }       // !keep_organized_
+    }  // !keep_organized_
   } else {  // No distance filtering, process all data.
             // No need to check for is_organized here as we did it above
     for (int cp = 0; cp < nr_points; ++cp, xyz_offset += input_->point_step) {
diff --git a/sensing/pointcloud_preprocessor/src/time_synchronizer/time_synchronizer_nodelet.cpp b/sensing/pointcloud_preprocessor/src/time_synchronizer/time_synchronizer_nodelet.cpp
index 12b034043894e..099e5757ffc0a 100644
--- a/sensing/pointcloud_preprocessor/src/time_synchronizer/time_synchronizer_nodelet.cpp
+++ b/sensing/pointcloud_preprocessor/src/time_synchronizer/time_synchronizer_nodelet.cpp
@@ -46,8 +46,8 @@ PointCloudDataSynchronizerComponent::PointCloudDataSynchronizerComponent(
 {
   // initialize debug tool
   {
-    using tier4_autoware_utils::DebugPublisher;
-    using tier4_autoware_utils::StopWatch;
+    using autoware::universe_utils::DebugPublisher;
+    using autoware::universe_utils::StopWatch;
     stop_watch_ptr_ = std::make_unique<StopWatch<std::chrono::milliseconds>>();
     debug_publisher_ = std::make_unique<DebugPublisher>(this, "time_synchronizer");
     stop_watch_ptr_->tic("cyclic_time");
diff --git a/sensing/pointcloud_preprocessor/src/vector_map_filter/vector_map_inside_area_filter.cpp b/sensing/pointcloud_preprocessor/src/vector_map_filter/vector_map_inside_area_filter.cpp
index 6b4e90a697cd6..def7652848642 100644
--- a/sensing/pointcloud_preprocessor/src/vector_map_filter/vector_map_inside_area_filter.cpp
+++ b/sensing/pointcloud_preprocessor/src/vector_map_filter/vector_map_inside_area_filter.cpp
@@ -16,7 +16,7 @@
 
 namespace
 {
-tier4_autoware_utils::Box2d calcBoundingBox(
+autoware::universe_utils::Box2d calcBoundingBox(
   const pcl::PointCloud<pcl::PointXYZ>::ConstPtr & input_cloud)
 {
   MultiPoint2d candidate_points;
@@ -24,11 +24,11 @@ tier4_autoware_utils::Box2d calcBoundingBox(
     candidate_points.emplace_back(p.x, p.y);
   }
 
-  return boost::geometry::return_envelope<tier4_autoware_utils::Box2d>(candidate_points);
+  return boost::geometry::return_envelope<autoware::universe_utils::Box2d>(candidate_points);
 }
 
 lanelet::ConstPolygons3d calcIntersectedPolygons(
-  const tier4_autoware_utils::Box2d & bounding_box, const lanelet::ConstPolygons3d & polygons)
+  const autoware::universe_utils::Box2d & bounding_box, const lanelet::ConstPolygons3d & polygons)
 {
   lanelet::ConstPolygons3d intersected_polygons;
   for (const auto & polygon : polygons) {
diff --git a/sensing/radar_static_pointcloud_filter/include/radar_static_pointcloud_filter/radar_static_pointcloud_filter_node.hpp b/sensing/radar_static_pointcloud_filter/include/radar_static_pointcloud_filter/radar_static_pointcloud_filter_node.hpp
index f1ab9344d58f3..72a78f35251f7 100644
--- a/sensing/radar_static_pointcloud_filter/include/radar_static_pointcloud_filter/radar_static_pointcloud_filter_node.hpp
+++ b/sensing/radar_static_pointcloud_filter/include/radar_static_pointcloud_filter/radar_static_pointcloud_filter_node.hpp
@@ -15,7 +15,7 @@
 #ifndef RADAR_STATIC_POINTCLOUD_FILTER__RADAR_STATIC_POINTCLOUD_FILTER_NODE_HPP_
 #define RADAR_STATIC_POINTCLOUD_FILTER__RADAR_STATIC_POINTCLOUD_FILTER_NODE_HPP_
 
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -51,7 +51,7 @@ class RadarStaticPointcloudFilterNode : public rclcpp::Node
   // Subscriber
   message_filters::Subscriber<RadarScan> sub_radar_{};
   message_filters::Subscriber<Odometry> sub_odometry_{};
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
 
   using SyncPolicy = message_filters::sync_policies::ApproximateTime<RadarScan, Odometry>;
   using Sync = message_filters::Synchronizer<SyncPolicy>;
diff --git a/sensing/radar_static_pointcloud_filter/package.xml b/sensing/radar_static_pointcloud_filter/package.xml
index 05453ee9cb9e0..b1063562b1708 100644
--- a/sensing/radar_static_pointcloud_filter/package.xml
+++ b/sensing/radar_static_pointcloud_filter/package.xml
@@ -14,6 +14,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>message_filters</depend>
   <depend>nav_msgs</depend>
   <depend>radar_msgs</depend>
@@ -22,7 +23,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_clang_format</test_depend>
   <test_depend>ament_lint_auto</test_depend>
diff --git a/sensing/radar_static_pointcloud_filter/src/radar_static_pointcloud_filter_node/radar_static_pointcloud_filter_node.cpp b/sensing/radar_static_pointcloud_filter/src/radar_static_pointcloud_filter_node/radar_static_pointcloud_filter_node.cpp
index 0eda1eae627e7..985f30c8e34b5 100644
--- a/sensing/radar_static_pointcloud_filter/src/radar_static_pointcloud_filter_node/radar_static_pointcloud_filter_node.cpp
+++ b/sensing/radar_static_pointcloud_filter/src/radar_static_pointcloud_filter_node/radar_static_pointcloud_filter_node.cpp
@@ -96,7 +96,7 @@ RadarStaticPointcloudFilterNode::RadarStaticPointcloudFilterNode(
   node_param_.doppler_velocity_sd = declare_parameter<double>("doppler_velocity_sd");
 
   // Subscriber
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
 
   sub_radar_.subscribe(this, "~/input/radar", rclcpp::QoS{1}.get_rmw_qos_profile());
   sub_odometry_.subscribe(this, "~/input/odometry", rclcpp::QoS{1}.get_rmw_qos_profile());
diff --git a/sensing/tier4_pcl_extensions/include/tier4_pcl_extensions/voxel_grid_nearest_centroid_impl.hpp b/sensing/tier4_pcl_extensions/include/tier4_pcl_extensions/voxel_grid_nearest_centroid_impl.hpp
index a42b43b448080..db36befb69237 100644
--- a/sensing/tier4_pcl_extensions/include/tier4_pcl_extensions/voxel_grid_nearest_centroid_impl.hpp
+++ b/sensing/tier4_pcl_extensions/include/tier4_pcl_extensions/voxel_grid_nearest_centroid_impl.hpp
@@ -221,7 +221,7 @@ void pcl::VoxelGridNearestCentroid<PointT>::applyFilter(PointCloud & output)
             &rgb, reinterpret_cast<const char *>(&input_->points[cp]) + rgba_index, sizeof(int));
           centroid[centroid_size - 3] = static_cast<float>((rgb >> 16) & 0x0000ff);
           centroid[centroid_size - 2] = static_cast<float>((rgb >> 8) & 0x0000ff);
-          centroid[centroid_size - 1] = static_cast<float>((rgb)&0x0000ff);
+          centroid[centroid_size - 1] = static_cast<float>((rgb) & 0x0000ff);
         }
         pcl::for_each_type<FieldList>(
           NdCopyPointEigenFunctor<PointT>(input_->points[cp], centroid));
@@ -272,7 +272,7 @@ void pcl::VoxelGridNearestCentroid<PointT>::applyFilter(PointCloud & output)
             &rgb, reinterpret_cast<const char *>(&input_->points[cp]) + rgba_index, sizeof(int));
           centroid[centroid_size - 3] = static_cast<float>((rgb >> 16) & 0x0000ff);
           centroid[centroid_size - 2] = static_cast<float>((rgb >> 8) & 0x0000ff);
-          centroid[centroid_size - 1] = static_cast<float>((rgb)&0x0000ff);
+          centroid[centroid_size - 1] = static_cast<float>((rgb) & 0x0000ff);
         }
         pcl::for_each_type<FieldList>(
           NdCopyPointEigenFunctor<PointT>(input_->points[cp], centroid));
diff --git a/simulator/dummy_perception_publisher/package.xml b/simulator/dummy_perception_publisher/package.xml
index 4704024214d9e..caeb01c6823e5 100644
--- a/simulator/dummy_perception_publisher/package.xml
+++ b/simulator/dummy_perception_publisher/package.xml
@@ -19,6 +19,7 @@
   <test_depend>autoware_lint_common</test_depend>
 
   <depend>autoware_perception_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>geometry_msgs</depend>
   <depend>libpcl-all-dev</depend>
   <depend>pcl_conversions</depend>
@@ -28,7 +29,6 @@
   <depend>tf2</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_perception_msgs</depend>
   <depend>unique_identifier_msgs</depend>
 
diff --git a/simulator/dummy_perception_publisher/src/node.cpp b/simulator/dummy_perception_publisher/src/node.cpp
index 9c58961978161..b479d7c36bb42 100644
--- a/simulator/dummy_perception_publisher/src/node.cpp
+++ b/simulator/dummy_perception_publisher/src/node.cpp
@@ -14,7 +14,7 @@
 
 #include "dummy_perception_publisher/node.hpp"
 
-#include "tier4_autoware_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
 
 #include <pcl/filters/voxel_grid_occlusion_estimation.h>
 #include <tf2/LinearMath/Quaternion.h>
@@ -93,7 +93,7 @@ ObjectInfo::ObjectInfo(
   }
 
   const auto current_pose =
-    tier4_autoware_utils::calcOffsetPose(initial_pose, move_distance, 0.0, 0.0);
+    autoware::universe_utils::calcOffsetPose(initial_pose, move_distance, 0.0, 0.0);
 
   // calculate tf from map to moved_object
   geometry_msgs::msg::Transform ros_map2moved_object;
diff --git a/simulator/fault_injection/package.xml b/simulator/fault_injection/package.xml
index e169a338b4e52..57d1fa3401f41 100644
--- a/simulator/fault_injection/package.xml
+++ b/simulator/fault_injection/package.xml
@@ -10,13 +10,13 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_aggregator</depend>
   <depend>diagnostic_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>pluginlib</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_simulation_msgs</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
diff --git a/simulator/fault_injection/src/fault_injection_node/fault_injection_node.cpp b/simulator/fault_injection/src/fault_injection_node/fault_injection_node.cpp
index 7b8f87400beab..467054dcda8fe 100644
--- a/simulator/fault_injection/src/fault_injection_node/fault_injection_node.cpp
+++ b/simulator/fault_injection/src/fault_injection_node/fault_injection_node.cpp
@@ -14,7 +14,7 @@
 
 #include "fault_injection/fault_injection_node.hpp"
 
-#include <tier4_autoware_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
 
 #include <memory>
 #include <string>
diff --git a/simulator/learning_based_vehicle_model/src/model_connections_helpers.cpp b/simulator/learning_based_vehicle_model/src/model_connections_helpers.cpp
index 09f7359af45bf..bbd8bf7ffb546 100644
--- a/simulator/learning_based_vehicle_model/src/model_connections_helpers.cpp
+++ b/simulator/learning_based_vehicle_model/src/model_connections_helpers.cpp
@@ -32,7 +32,7 @@ std::vector<int> createConnectionsMap(
   std::vector<int> connection_map;
   // index in "connection_map" is index in "connection_names_2" and value in "connection_map" is
   // index in "connection_names_1"
-  for (auto name_2 : connection_names_2) {
+  for (const auto & name_2 : connection_names_2) {
     int mapped_idx = -1;  // -1 means that we cannot create a connection between some signals
     for (std::size_t NAME_1_IDX = 0; NAME_1_IDX < connection_names_1.size(); NAME_1_IDX++) {
       if (strcmp(name_2, connection_names_1[NAME_1_IDX]) == 0) {  // 0 means strings are the same
diff --git a/simulator/simple_planning_simulator/package.xml b/simulator/simple_planning_simulator/package.xml
index b820c5c6c3df0..b95a9f2cefdeb 100644
--- a/simulator/simple_planning_simulator/package.xml
+++ b/simulator/simple_planning_simulator/package.xml
@@ -17,14 +17,15 @@
 
   <depend>autoware_control_msgs</depend>
   <depend>autoware_map_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>geometry_msgs</depend>
   <depend>lanelet2_core</depend>
   <depend>lanelet2_extension</depend>
   <depend>learning_based_vehicle_model</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
@@ -33,7 +34,6 @@
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
   <depend>tier4_api_utils</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_external_api_msgs</depend>
   <depend>tier4_vehicle_msgs</depend>
   <build_depend>autoware_cmake</build_depend>
diff --git a/simulator/simple_planning_simulator/src/simple_planning_simulator/simple_planning_simulator_core.cpp b/simulator/simple_planning_simulator/src/simple_planning_simulator/simple_planning_simulator_core.cpp
index c66a0c6f1f922..71c89fcf4df42 100644
--- a/simulator/simple_planning_simulator/src/simple_planning_simulator/simple_planning_simulator_core.cpp
+++ b/simulator/simple_planning_simulator/src/simple_planning_simulator/simple_planning_simulator_core.cpp
@@ -14,13 +14,13 @@
 
 #include "simple_planning_simulator/simple_planning_simulator_core.hpp"
 
+#include "autoware/motion_utils/trajectory/trajectory.hpp"
+#include "autoware/universe_utils/geometry/geometry.hpp"
+#include "autoware/universe_utils/ros/msg_covariance.hpp"
+#include "autoware/universe_utils/ros/update_param.hpp"
 #include "autoware_vehicle_info_utils/vehicle_info_utils.hpp"
-#include "motion_utils/trajectory/trajectory.hpp"
 #include "rclcpp_components/register_node_macro.hpp"
 #include "simple_planning_simulator/vehicle_model/sim_model.hpp"
-#include "tier4_autoware_utils/geometry/geometry.hpp"
-#include "tier4_autoware_utils/ros/msg_covariance.hpp"
-#include "tier4_autoware_utils/ros/update_param.hpp"
 
 #include <lanelet2_extension/utility/message_conversion.hpp>
 #include <lanelet2_extension/utility/query.hpp>
@@ -59,7 +59,7 @@ nav_msgs::msg::Odometry to_odometry(
   nav_msgs::msg::Odometry odometry;
   odometry.pose.pose.position.x = vehicle_model_ptr->getX();
   odometry.pose.pose.position.y = vehicle_model_ptr->getY();
-  odometry.pose.pose.orientation = tier4_autoware_utils::createQuaternionFromRPY(
+  odometry.pose.pose.orientation = autoware::universe_utils::createQuaternionFromRPY(
     0.0, ego_pitch_angle, vehicle_model_ptr->getYaw());
   odometry.twist.twist.linear.x = vehicle_model_ptr->getVx();
   odometry.twist.twist.angular.z = vehicle_model_ptr->getWz();
@@ -304,8 +304,8 @@ rcl_interfaces::msg::SetParametersResult SimplePlanningSimulator::on_parameter(
   result.reason = "success";
 
   try {
-    tier4_autoware_utils::updateParam(parameters, "x_stddev", x_stddev_);
-    tier4_autoware_utils::updateParam(parameters, "y_stddev", y_stddev_);
+    autoware::universe_utils::updateParam(parameters, "x_stddev", x_stddev_);
+    autoware::universe_utils::updateParam(parameters, "y_stddev", y_stddev_);
   } catch (const rclcpp::exceptions::InvalidParameterTypeException & e) {
     result.successful = false;
     result.reason = e.what();
@@ -323,7 +323,7 @@ double SimplePlanningSimulator::calculate_ego_pitch() const
   geometry_msgs::msg::Pose ego_pose;
   ego_pose.position.x = ego_x;
   ego_pose.position.y = ego_y;
-  ego_pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(ego_yaw);
+  ego_pose.orientation = autoware::universe_utils::createQuaternionFromYaw(ego_yaw);
 
   // calculate prev/next point of lanelet centerline nearest to ego pose.
   lanelet::Lanelet ego_lanelet;
@@ -333,7 +333,7 @@ double SimplePlanningSimulator::calculate_ego_pitch() const
   }
   const auto centerline_points = convert_centerline_to_points(ego_lanelet);
   const size_t ego_seg_idx =
-    motion_utils::findNearestSegmentIndex(centerline_points, ego_pose.position);
+    autoware::motion_utils::findNearestSegmentIndex(centerline_points, ego_pose.position);
 
   const auto & prev_point = centerline_points.at(ego_seg_idx);
   const auto & next_point = centerline_points.at(ego_seg_idx + 1);
@@ -398,7 +398,7 @@ void SimplePlanningSimulator::on_timer()
 
   // add estimate covariance
   {
-    using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+    using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
     current_odometry_.pose.covariance[COV_IDX::X_X] = x_stddev_;
     current_odometry_.pose.covariance[COV_IDX::Y_Y] = y_stddev_;
   }
@@ -553,7 +553,7 @@ void SimplePlanningSimulator::add_measurement_noise(
   odom.twist.twist.linear.x += velocity_noise;
   double yaw = tf2::getYaw(odom.pose.pose.orientation);
   yaw += static_cast<float>((*n.rpy_dist_)(*n.rand_engine_));
-  odom.pose.pose.orientation = tier4_autoware_utils::createQuaternionFromYaw(yaw);
+  odom.pose.pose.orientation = autoware::universe_utils::createQuaternionFromYaw(yaw);
 
   vel.longitudinal_velocity += static_cast<double>(velocity_noise);
 
@@ -686,7 +686,7 @@ void SimplePlanningSimulator::publish_acceleration()
   msg.accel.accel.linear.x = vehicle_model_ptr_->getAx();
   msg.accel.accel.linear.y = vehicle_model_ptr_->getWz() * vehicle_model_ptr_->getVx();
 
-  using COV_IDX = tier4_autoware_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyzrpy_covariance_index::XYZRPY_COV_IDX;
   constexpr auto COV = 0.001;
   msg.accel.covariance.at(COV_IDX::X_X) = COV;          // linear x
   msg.accel.covariance.at(COV_IDX::Y_Y) = COV;          // linear y
@@ -699,7 +699,7 @@ void SimplePlanningSimulator::publish_acceleration()
 
 void SimplePlanningSimulator::publish_imu()
 {
-  using COV_IDX = tier4_autoware_utils::xyz_covariance_index::XYZ_COV_IDX;
+  using COV_IDX = autoware::universe_utils::xyz_covariance_index::XYZ_COV_IDX;
 
   sensor_msgs::msg::Imu imu;
   imu.header.frame_id = "base_link";
diff --git a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_acc_geared.cpp b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_acc_geared.cpp
index 26b252805db47..aada6687baef8 100644
--- a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_acc_geared.cpp
+++ b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_acc_geared.cpp
@@ -177,9 +177,7 @@ void SimModelDelaySteerAccGeared::updateStateWithGear(
     if (state(IDX::VX) > 0.0) {
       setStopState();
     }
-  } else if (gear == GearCommand::PARK) {
-    setStopState();
-  } else {
+  } else {  // including 'gear == GearCommand::PARK'
     setStopState();
   }
 }
diff --git a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_map_acc_geared.cpp b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_map_acc_geared.cpp
index fe847cba946a1..b987f74db0436 100644
--- a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_map_acc_geared.cpp
+++ b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_delay_steer_map_acc_geared.cpp
@@ -159,13 +159,7 @@ void SimModelDelaySteerMapAccGeared::updateStateWithGear(
       state(IDX::YAW) = prev_state(IDX::YAW);
       state(IDX::ACCX) = (state(IDX::VX) - prev_state(IDX::VX)) / std::max(dt, 1.0e-5);
     }
-  } else if (gear == GearCommand::PARK) {
-    state(IDX::VX) = 0.0;
-    state(IDX::X) = prev_state(IDX::X);
-    state(IDX::Y) = prev_state(IDX::Y);
-    state(IDX::YAW) = prev_state(IDX::YAW);
-    state(IDX::ACCX) = (state(IDX::VX) - prev_state(IDX::VX)) / std::max(dt, 1.0e-5);
-  } else {
+  } else {  // including 'gear == GearCommand::PARK'
     state(IDX::VX) = 0.0;
     state(IDX::X) = prev_state(IDX::X);
     state(IDX::Y) = prev_state(IDX::Y);
diff --git a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_ideal_steer_acc_geared.cpp b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_ideal_steer_acc_geared.cpp
index c2297f1fd1d73..46538778bd1b1 100644
--- a/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_ideal_steer_acc_geared.cpp
+++ b/simulator/simple_planning_simulator/src/simple_planning_simulator/vehicle_model/sim_model_ideal_steer_acc_geared.cpp
@@ -109,9 +109,7 @@ void SimModelIdealSteerAccGeared::updateStateWithGear(
     if (state(IDX::VX) > 0.0) {
       setStopState();
     }
-  } else if (gear == GearCommand::PARK) {
-    setStopState();
-  } else {
+  } else {  // including 'gear == GearCommand::PARK'
     setStopState();
   }
   // calculate acc from velocity diff
diff --git a/system/default_ad_api/package.xml b/system/default_ad_api/package.xml
index 315fdea27a3f3..95ced648f1326 100644
--- a/system/default_ad_api/package.xml
+++ b/system/default_ad_api/package.xml
@@ -15,6 +15,7 @@
   <depend>autoware_ad_api_specs</depend>
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_adapi_version_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_system_msgs</depend>
   <depend>autoware_vehicle_info_utils</depend>
@@ -24,7 +25,6 @@
   <depend>diagnostic_graph_utils</depend>
   <depend>geographic_msgs</depend>
   <depend>geography_utils</depend>
-  <depend>motion_utils</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
diff --git a/system/default_ad_api/src/motion.hpp b/system/default_ad_api/src/motion.hpp
index 00c911da6bd2d..053e9b2427a10 100644
--- a/system/default_ad_api/src/motion.hpp
+++ b/system/default_ad_api/src/motion.hpp
@@ -15,11 +15,11 @@
 #ifndef MOTION_HPP_
 #define MOTION_HPP_
 
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <autoware_ad_api_specs/motion.hpp>
 #include <component_interface_specs/control.hpp>
 #include <component_interface_utils/rclcpp.hpp>
 #include <component_interface_utils/status.hpp>
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 // This file should be included after messages.
@@ -34,7 +34,7 @@ class MotionNode : public rclcpp::Node
   explicit MotionNode(const rclcpp::NodeOptions & options);
 
 private:
-  motion_utils::VehicleStopChecker vehicle_stop_checker_;
+  autoware::motion_utils::VehicleStopChecker vehicle_stop_checker_;
   rclcpp::TimerBase::SharedPtr timer_;
   rclcpp::CallbackGroup::SharedPtr group_cli_;
   Srv<autoware_ad_api::motion::AcceptStart> srv_accept_;
diff --git a/system/default_ad_api/src/planning.cpp b/system/default_ad_api/src/planning.cpp
index c40bfac40a135..374316e19e6b1 100644
--- a/system/default_ad_api/src/planning.cpp
+++ b/system/default_ad_api/src/planning.cpp
@@ -14,7 +14,7 @@
 
 #include "planning.hpp"
 
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/planning_behavior.hpp>
 
@@ -136,7 +136,8 @@ void PlanningNode::on_timer()
         const auto & curr_point = kinematic_state_->pose.pose.position;
         const auto & stop_point = factor.pose.position;
         const auto & points = trajectory_->points;
-        factor.distance = motion_utils::calcSignedArcLength(points, curr_point, stop_point);
+        factor.distance =
+          autoware::motion_utils::calcSignedArcLength(points, curr_point, stop_point);
       }
     }
   }
diff --git a/system/default_ad_api/src/planning.hpp b/system/default_ad_api/src/planning.hpp
index b533390dcc6fb..929eb517afa2e 100644
--- a/system/default_ad_api/src/planning.hpp
+++ b/system/default_ad_api/src/planning.hpp
@@ -15,10 +15,10 @@
 #ifndef PLANNING_HPP_
 #define PLANNING_HPP_
 
+#include <autoware/motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <autoware_ad_api_specs/planning.hpp>
 #include <component_interface_specs/localization.hpp>
 #include <component_interface_specs/planning.hpp>
-#include <motion_utils/vehicle/vehicle_state_checker.hpp>
 #include <rclcpp/rclcpp.hpp>
 
 #include <memory>
@@ -48,7 +48,7 @@ class PlanningNode : public rclcpp::Node
   std::vector<SteeringFactorArray::ConstSharedPtr> steering_factors_;
   rclcpp::TimerBase::SharedPtr timer_;
 
-  using VehicleStopChecker = motion_utils::VehicleStopCheckerBase;
+  using VehicleStopChecker = autoware::motion_utils::VehicleStopCheckerBase;
   using Trajectory = planning_interface::Trajectory::Message;
   using KinematicState = localization_interface::KinematicState::Message;
   void on_trajectory(const Trajectory::ConstSharedPtr msg);
diff --git a/system/default_ad_api/src/vehicle.cpp b/system/default_ad_api/src/vehicle.cpp
index e25933e6ca2ad..47932f969c172 100644
--- a/system/default_ad_api/src/vehicle.cpp
+++ b/system/default_ad_api/src/vehicle.cpp
@@ -167,7 +167,7 @@ void VehicleNode::publish_status()
 {
   if (
     !steering_status_msgs_ || !gear_status_msgs_ || !turn_indicator_status_msgs_ ||
-    !hazard_light_status_msgs_ || !energy_status_msgs_)
+    !hazard_light_status_msgs_)
     return;
 
   autoware_ad_api::vehicle::VehicleStatus::Message vehicle_status;
@@ -178,7 +178,6 @@ void VehicleNode::publish_status()
     mapping(turn_indicator_type_, turn_indicator_status_msgs_->report, ApiTurnIndicator::UNKNOWN);
   vehicle_status.hazard_lights.status =
     mapping(hazard_light_type_, hazard_light_status_msgs_->report, ApiHazardLight::UNKNOWN);
-  vehicle_status.energy_percentage = energy_status_msgs_->energy_level;
   pub_status_->publish(vehicle_status);
 }
 
diff --git a/system/dummy_diag_publisher/package.xml b/system/dummy_diag_publisher/package.xml
index 64441ad338f2f..befe02ecb330e 100644
--- a/system/dummy_diag_publisher/package.xml
+++ b/system/dummy_diag_publisher/package.xml
@@ -11,11 +11,11 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_updater</depend>
   <depend>fmt</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <exec_depend>rqt_reconfigure</exec_depend>
   <exec_depend>rqt_robot_monitor</exec_depend>
diff --git a/system/dummy_diag_publisher/src/dummy_diag_publisher_core.cpp b/system/dummy_diag_publisher/src/dummy_diag_publisher_core.cpp
index 9abf325e62833..e46c6e4341284 100644
--- a/system/dummy_diag_publisher/src/dummy_diag_publisher_core.cpp
+++ b/system/dummy_diag_publisher/src/dummy_diag_publisher_core.cpp
@@ -17,10 +17,10 @@
 #include <rcl_interfaces/msg/detail/set_parameters_result__struct.hpp>
 
 #define FMT_HEADER_ONLY
+#include <autoware/universe_utils/ros/update_param.hpp>
 #include <diagnostic_updater/diagnostic_updater.hpp>
 #include <rcl_interfaces/msg/set_parameters_result.hpp>
 #include <rclcpp/create_timer.hpp>
-#include <tier4_autoware_utils/ros/update_param.hpp>
 
 #include <fmt/format.h>
 
@@ -66,8 +66,8 @@ rcl_interfaces::msg::SetParametersResult DummyDiagPublisher::paramCallback(
       auto prev_status_str = status_str;
       auto is_active = true;
       try {
-        tier4_autoware_utils::updateParam(parameters, status_prefix_str, status_str);
-        tier4_autoware_utils::updateParam(parameters, is_active_prefix_str, is_active);
+        autoware::universe_utils::updateParam(parameters, status_prefix_str, status_str);
+        autoware::universe_utils::updateParam(parameters, is_active_prefix_str, is_active);
       } catch (const rclcpp::exceptions::InvalidParameterTypeException & e) {
         result.successful = false;
         result.reason = e.what();
diff --git a/system/emergency_handler/include/emergency_handler/emergency_handler_core.hpp b/system/emergency_handler/include/emergency_handler/emergency_handler_core.hpp
index cd66cde64c9a5..b77797b2a4205 100644
--- a/system/emergency_handler/include/emergency_handler/emergency_handler_core.hpp
+++ b/system/emergency_handler/include/emergency_handler/emergency_handler_core.hpp
@@ -20,7 +20,7 @@
 #include <string>
 
 // Autoware
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/mrm_state.hpp>
 #include <autoware_control_msgs/msg/control.hpp>
@@ -63,13 +63,14 @@ class EmergencyHandler : public rclcpp::Node
     sub_hazard_status_stamped_;
   rclcpp::Subscription<autoware_control_msgs::msg::Control>::SharedPtr sub_prev_control_command_;
   // Subscribers without callback
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_vehicle_msgs::msg::ControlModeReport>
+  autoware::universe_utils::InterProcessPollingSubscriber<
+    autoware_vehicle_msgs::msg::ControlModeReport>
     sub_control_mode_{this, "~/input/control_mode"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
     sub_mrm_comfortable_stop_status_{this, "~/input/mrm/comfortable_stop/status"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
     sub_mrm_emergency_stop_status_{this, "~/input/mrm/emergency_stop/status"};
 
   autoware_system_msgs::msg::HazardStatusStamped::ConstSharedPtr hazard_status_stamped_;
diff --git a/system/emergency_handler/package.xml b/system/emergency_handler/package.xml
index f26080fd8ef56..099e8a77d191e 100644
--- a/system/emergency_handler/package.xml
+++ b/system/emergency_handler/package.xml
@@ -15,13 +15,13 @@
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_system_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/system/mrm_emergency_stop_operator/package.xml b/system/mrm_emergency_stop_operator/package.xml
index 74ee8c7183741..44c80485d5b1b 100644
--- a/system/mrm_emergency_stop_operator/package.xml
+++ b/system/mrm_emergency_stop_operator/package.xml
@@ -13,11 +13,11 @@
 
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_system_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/system/mrm_emergency_stop_operator/src/mrm_emergency_stop_operator/mrm_emergency_stop_operator_core.cpp b/system/mrm_emergency_stop_operator/src/mrm_emergency_stop_operator/mrm_emergency_stop_operator_core.cpp
index 589a2fd14d990..5c1ca5e04de0e 100644
--- a/system/mrm_emergency_stop_operator/src/mrm_emergency_stop_operator/mrm_emergency_stop_operator_core.cpp
+++ b/system/mrm_emergency_stop_operator/src/mrm_emergency_stop_operator/mrm_emergency_stop_operator_core.cpp
@@ -14,7 +14,7 @@
 
 #include "mrm_emergency_stop_operator/mrm_emergency_stop_operator_core.hpp"
 
-#include <tier4_autoware_utils/ros/update_param.hpp>
+#include <autoware/universe_utils/ros/update_param.hpp>
 
 namespace mrm_emergency_stop_operator
 {
@@ -59,7 +59,7 @@ MrmEmergencyStopOperator::MrmEmergencyStopOperator(const rclcpp::NodeOptions & n
 rcl_interfaces::msg::SetParametersResult MrmEmergencyStopOperator::onParameter(
   const std::vector<rclcpp::Parameter> & parameters)
 {
-  using tier4_autoware_utils::updateParam;
+  using autoware::universe_utils::updateParam;
   updateParam<double>(parameters, "target_acceleration", params_.target_acceleration);
   updateParam<double>(parameters, "target_jerk", params_.target_jerk);
 
diff --git a/system/mrm_handler/include/mrm_handler/mrm_handler_core.hpp b/system/mrm_handler/include/mrm_handler/mrm_handler_core.hpp
index 33d8af5004c47..c908ca1a62ee2 100644
--- a/system/mrm_handler/include/mrm_handler/mrm_handler_core.hpp
+++ b/system/mrm_handler/include/mrm_handler/mrm_handler_core.hpp
@@ -22,7 +22,7 @@
 #include <variant>
 
 // Autoware
-#include <tier4_autoware_utils/ros/polling_subscriber.hpp>
+#include <autoware/universe_utils/ros/polling_subscriber.hpp>
 
 #include <autoware_adapi_v1_msgs/msg/mrm_state.hpp>
 #include <autoware_adapi_v1_msgs/msg/operation_mode_state.hpp>
@@ -72,17 +72,18 @@ class MrmHandler : public rclcpp::Node
   rclcpp::Subscription<tier4_system_msgs::msg::OperationModeAvailability>::SharedPtr
     sub_operation_mode_availability_;
   // Subscribers without callback
-  tier4_autoware_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
+  autoware::universe_utils::InterProcessPollingSubscriber<nav_msgs::msg::Odometry> sub_odom_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<autoware_vehicle_msgs::msg::ControlModeReport>
+  autoware::universe_utils::InterProcessPollingSubscriber<
+    autoware_vehicle_msgs::msg::ControlModeReport>
     sub_control_mode_{this, "~/input/control_mode"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
     sub_mrm_pull_over_status_{this, "~/input/mrm/pull_over/status"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
     sub_mrm_comfortable_stop_status_{this, "~/input/mrm/comfortable_stop/status"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
+  autoware::universe_utils::InterProcessPollingSubscriber<tier4_system_msgs::msg::MrmBehaviorStatus>
     sub_mrm_emergency_stop_status_{this, "~/input/mrm/emergency_stop/status"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<
+  autoware::universe_utils::InterProcessPollingSubscriber<
     autoware_adapi_v1_msgs::msg::OperationModeState>
     sub_operation_mode_state_{this, "~/input/api/operation_mode/state"};
 
diff --git a/system/mrm_handler/package.xml b/system/mrm_handler/package.xml
index 5774cce3215a9..a2c3397296db3 100644
--- a/system/mrm_handler/package.xml
+++ b/system/mrm_handler/package.xml
@@ -15,13 +15,13 @@
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>nav_msgs</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_system_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/system/mrm_handler/src/mrm_handler/mrm_handler_core.cpp b/system/mrm_handler/src/mrm_handler/mrm_handler_core.cpp
index 326fbb392fd35..b50bdc4f6a766 100644
--- a/system/mrm_handler/src/mrm_handler/mrm_handler_core.cpp
+++ b/system/mrm_handler/src/mrm_handler/mrm_handler_core.cpp
@@ -91,7 +91,7 @@ void MrmHandler::onOperationModeAvailability(
   if (!is_emergency_holding_) {
     if (msg->autonomous) {
       stamp_autonomous_become_unavailable_.reset();
-    } else if (!msg->autonomous) {
+    } else {
       if (!stamp_autonomous_become_unavailable_.has_value()) {
         stamp_autonomous_become_unavailable_.emplace(this->now());
       } else {
diff --git a/system/system_diagnostic_monitor/config/control.yaml b/system/system_diagnostic_monitor/config/control.yaml
index 57bf1b86c2bfc..5551ed4575929 100644
--- a/system/system_diagnostic_monitor/config/control.yaml
+++ b/system/system_diagnostic_monitor/config/control.yaml
@@ -13,14 +13,14 @@ units:
   - path: /autoware/control/local
     type: and
     list:
-      - { type: link, link: /autoware/control/topic_rate_check/selector }
-      - { type: link, link: /autoware/control/topic_rate_check/local }
+      - { type: link, link: /autoware/control/topic_rate_check/external_cmd_selector }
+      - { type: link, link: /autoware/control/topic_rate_check/external_cmd_converter }
 
   - path: /autoware/control/remote
     type: and
     list:
-      - { type: link, link: /autoware/control/topic_rate_check/selector }
-      - { type: link, link: /autoware/control/topic_rate_check/remote }
+      - { type: link, link: /autoware/control/topic_rate_check/external_cmd_selector }
+      - { type: link, link: /autoware/control/topic_rate_check/external_cmd_converter }
 
   - path: /autoware/control/topic_rate_check/trajectory_follower
     type: diag
@@ -57,17 +57,12 @@ units:
     node: controller_node_exe
     name: control_state
 
-  - path: /autoware/control/topic_rate_check/selector
+  - path: /autoware/control/topic_rate_check/external_cmd_selector
     type: diag
     node: external_cmd_selector
     name: heartbeat
 
-  - path: /autoware/control/topic_rate_check/local
-    type: diag
-    node: joy_controller
-    name: joy_controller_connection
-
-  - path: /autoware/control/topic_rate_check/remote
+  - path: /autoware/control/topic_rate_check/external_cmd_converter
     type: diag
     node: external_cmd_converter
     name: remote_control_topic_status
diff --git a/system/system_error_monitor/include/system_error_monitor/system_error_monitor_core.hpp b/system/system_error_monitor/include/system_error_monitor/system_error_monitor_core.hpp
index 22f1f4e9012c7..dbb1db027b149 100644
--- a/system/system_error_monitor/include/system_error_monitor/system_error_monitor_core.hpp
+++ b/system/system_error_monitor/include/system_error_monitor/system_error_monitor_core.hpp
@@ -15,7 +15,7 @@
 #ifndef SYSTEM_ERROR_MONITOR__SYSTEM_ERROR_MONITOR_CORE_HPP_
 #define SYSTEM_ERROR_MONITOR__SYSTEM_ERROR_MONITOR_CORE_HPP_
 
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
 
 #include <rclcpp/create_timer.hpp>
 #include <rclcpp/rclcpp.hpp>
@@ -147,7 +147,7 @@ class AutowareErrorMonitor : public rclcpp::Node
 
   void loggingErrors(const autoware_system_msgs::msg::HazardStatus & diag_array);
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 };
 
 #endif  // SYSTEM_ERROR_MONITOR__SYSTEM_ERROR_MONITOR_CORE_HPP_
diff --git a/system/system_error_monitor/package.xml b/system/system_error_monitor/package.xml
index 0c8e2fc0241aa..2dda4e462b98b 100644
--- a/system/system_error_monitor/package.xml
+++ b/system/system_error_monitor/package.xml
@@ -11,13 +11,13 @@
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_msgs</depend>
   <depend>fmt</depend>
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_srvs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_control_msgs</depend>
 
   <exec_depend>diagnostic_aggregator</exec_depend>
diff --git a/system/system_error_monitor/src/system_error_monitor_core.cpp b/system/system_error_monitor/src/system_error_monitor_core.cpp
index ad67521298643..1daa4624ec934 100644
--- a/system/system_error_monitor/src/system_error_monitor_core.cpp
+++ b/system/system_error_monitor/src/system_error_monitor_core.cpp
@@ -265,7 +265,7 @@ AutowareErrorMonitor::AutowareErrorMonitor(const rclcpp::NodeOptions & options)
   timer_ = rclcpp::create_timer(
     this, get_clock(), period_ns, std::bind(&AutowareErrorMonitor::onTimer, this));
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 void AutowareErrorMonitor::loadRequiredModules(const std::string & key)
diff --git a/system/system_monitor/include/system_monitor/cpu_monitor/raspi_cpu_monitor.hpp b/system/system_monitor/include/system_monitor/cpu_monitor/raspi_cpu_monitor.hpp
index b0456cf34963e..b1dbc358bc858 100644
--- a/system/system_monitor/include/system_monitor/cpu_monitor/raspi_cpu_monitor.hpp
+++ b/system/system_monitor/include/system_monitor/cpu_monitor/raspi_cpu_monitor.hpp
@@ -35,16 +35,16 @@
 
 #define raspiThermalThrottlingMask (raspiCurrentlyThrottled | raspiSoftTemperatureLimitActive)
 
-#define throttledToString(X)                                                            \
-  (((X)&raspiUnderVoltageDetected)              ? "Under-voltage detected"              \
-   : ((X)&raspiArmFrequencyCapped)              ? "Arm frequency capped"                \
-   : ((X)&raspiCurrentlyThrottled)              ? "Currently throttled"                 \
-   : ((X)&raspiSoftTemperatureLimitActive)      ? "Soft temperature limit active"       \
-   : ((X)&raspiUnderVoltageHasOccurred)         ? "Under-voltage has occurred"          \
-   : ((X)&raspiArmFrequencyCappedHasOccurred)   ? "Arm frequency capped has occurred"   \
-   : ((X)&raspiThrottlingHasOccurred)           ? "Throttling has occurred"             \
-   : ((X)&raspiSoftTemperatureLimitHasOccurred) ? "Soft temperature limit has occurred" \
-                                                : "UNKNOWN")
+#define throttledToString(X)                                                              \
+  (((X) & raspiUnderVoltageDetected)              ? "Under-voltage detected"              \
+   : ((X) & raspiArmFrequencyCapped)              ? "Arm frequency capped"                \
+   : ((X) & raspiCurrentlyThrottled)              ? "Currently throttled"                 \
+   : ((X) & raspiSoftTemperatureLimitActive)      ? "Soft temperature limit active"       \
+   : ((X) & raspiUnderVoltageHasOccurred)         ? "Under-voltage has occurred"          \
+   : ((X) & raspiArmFrequencyCappedHasOccurred)   ? "Arm frequency capped has occurred"   \
+   : ((X) & raspiThrottlingHasOccurred)           ? "Throttling has occurred"             \
+   : ((X) & raspiSoftTemperatureLimitHasOccurred) ? "Soft temperature limit has occurred" \
+                                                  : "UNKNOWN")
 
 class CPUMonitor : public CPUMonitorBase
 {
diff --git a/system/system_monitor/include/system_monitor/gpu_monitor/nvml_gpu_monitor.hpp b/system/system_monitor/include/system_monitor/gpu_monitor/nvml_gpu_monitor.hpp
index 3a1df49027d4a..c21b5dc3b1878 100644
--- a/system/system_monitor/include/system_monitor/gpu_monitor/nvml_gpu_monitor.hpp
+++ b/system/system_monitor/include/system_monitor/gpu_monitor/nvml_gpu_monitor.hpp
@@ -29,17 +29,17 @@
 #include <string>
 #include <vector>
 
-#define reasonToString(X)                                                                  \
-  (((X)&nvmlClocksThrottleReasonGpuIdle)                     ? "GpuIdle"                   \
-   : ((X)&nvmlClocksThrottleReasonApplicationsClocksSetting) ? "ApplicationsClocksSetting" \
-   : ((X)&nvmlClocksThrottleReasonSwPowerCap)                ? "SwPowerCap"                \
-   : ((X)&nvmlClocksThrottleReasonHwSlowdown)                ? "HwSlowdown"                \
-   : ((X)&nvmlClocksThrottleReasonSyncBoost)                 ? "SyncBoost"                 \
-   : ((X)&nvmlClocksThrottleReasonSwThermalSlowdown)         ? "SwThermalSlowdown"         \
-   : ((X)&nvmlClocksThrottleReasonHwThermalSlowdown)         ? "HwThermalSlowdown"         \
-   : ((X)&nvmlClocksThrottleReasonHwPowerBrakeSlowdown)      ? "HwPowerBrakeSlowdown"      \
-   : ((X)&nvmlClocksThrottleReasonDisplayClockSetting)       ? "DisplayClockSetting"       \
-                                                             : "UNKNOWN")
+#define reasonToString(X)                                                                    \
+  (((X) & nvmlClocksThrottleReasonGpuIdle)                     ? "GpuIdle"                   \
+   : ((X) & nvmlClocksThrottleReasonApplicationsClocksSetting) ? "ApplicationsClocksSetting" \
+   : ((X) & nvmlClocksThrottleReasonSwPowerCap)                ? "SwPowerCap"                \
+   : ((X) & nvmlClocksThrottleReasonHwSlowdown)                ? "HwSlowdown"                \
+   : ((X) & nvmlClocksThrottleReasonSyncBoost)                 ? "SyncBoost"                 \
+   : ((X) & nvmlClocksThrottleReasonSwThermalSlowdown)         ? "SwThermalSlowdown"         \
+   : ((X) & nvmlClocksThrottleReasonHwThermalSlowdown)         ? "HwThermalSlowdown"         \
+   : ((X) & nvmlClocksThrottleReasonHwPowerBrakeSlowdown)      ? "HwPowerBrakeSlowdown"      \
+   : ((X) & nvmlClocksThrottleReasonDisplayClockSetting)       ? "DisplayClockSetting"       \
+                                                               : "UNKNOWN")
 
 /**
  * @brief GPU information
diff --git a/system/system_monitor/package.xml b/system/system_monitor/package.xml
index bbb01b5437fbe..880c885721fbc 100644
--- a/system/system_monitor/package.xml
+++ b/system/system_monitor/package.xml
@@ -11,6 +11,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>diagnostic_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>fmt</depend>
@@ -22,7 +23,6 @@
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_external_api_msgs</depend>
 
   <exec_depend>chrony</exec_depend>
diff --git a/system/system_monitor/src/gpu_monitor/nvml_gpu_monitor.cpp b/system/system_monitor/src/gpu_monitor/nvml_gpu_monitor.cpp
index 034dc75083af0..d5aecfed04805 100644
--- a/system/system_monitor/src/gpu_monitor/nvml_gpu_monitor.cpp
+++ b/system/system_monitor/src/gpu_monitor/nvml_gpu_monitor.cpp
@@ -219,7 +219,7 @@ void GPUMonitor::addProcessUsage(
     return;
   }
   // Check util_count
-  if (util_count <= 0) {
+  if (util_count == 0) {
     RCLCPP_WARN(this->get_logger(), "Illegal util_count: %d", util_count);
     return;
   }
diff --git a/system/system_monitor/src/net_monitor/net_monitor.cpp b/system/system_monitor/src/net_monitor/net_monitor.cpp
index 0b5bc4c1ee7ec..db2e23a44215a 100644
--- a/system/system_monitor/src/net_monitor/net_monitor.cpp
+++ b/system/system_monitor/src/net_monitor/net_monitor.cpp
@@ -156,8 +156,6 @@ void NetMonitor::check_usage(diagnostic_updater::DiagnosticStatusWrapper & statu
 
   int level = DiagStatus::OK;
   int index = 0;
-  std::string error_str;
-  std::vector<std::string> interface_names;
 
   for (const auto & network : network_list_) {
     // Skip if network is not supported
@@ -282,7 +280,6 @@ void NetMonitor::check_reassembles_failed(diagnostic_updater::DiagnosticStatusWr
   int whole_level = DiagStatus::OK;
   std::string error_message;
   uint64_t total_reassembles_failed = 0;
-  uint64_t unit_reassembles_failed = 0;
 
   if (get_reassembles_failed(total_reassembles_failed)) {
     reassembles_failed_queue_.push_back(total_reassembles_failed - last_reassembles_failed_);
@@ -290,6 +287,7 @@ void NetMonitor::check_reassembles_failed(diagnostic_updater::DiagnosticStatusWr
       reassembles_failed_queue_.pop_front();
     }
 
+    uint64_t unit_reassembles_failed = 0;
     for (auto reassembles_failed : reassembles_failed_queue_) {
       unit_reassembles_failed += reassembles_failed;
     }
@@ -452,9 +450,9 @@ void NetMonitor::update_network_capacity(NetworkInfomation & network, int socket
 
   // NOLINTNEXTLINE [cppcoreguidelines-pro-type-union-access]
   strncpy(request.ifr_name, network.interface_name.c_str(), IFNAMSIZ - 1);
+  ether_request.cmd = ETHTOOL_GSET;
   request.ifr_data = (caddr_t)&ether_request;  // NOLINT [cppcoreguidelines-pro-type-cstyle-cast]
 
-  ether_request.cmd = ETHTOOL_GSET;
   if (ioctl(socket, SIOCETHTOOL, &request) >= 0) {
     network.speed = ether_request.speed;
     return;
diff --git a/system/system_monitor/src/ntp_monitor/ntp_monitor.cpp b/system/system_monitor/src/ntp_monitor/ntp_monitor.cpp
index 0b91b28b2b5f9..4e697fa18ec50 100644
--- a/system/system_monitor/src/ntp_monitor/ntp_monitor.cpp
+++ b/system/system_monitor/src/ntp_monitor/ntp_monitor.cpp
@@ -19,7 +19,7 @@
 
 #include "system_monitor/ntp_monitor/ntp_monitor.hpp"
 
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <boost/filesystem.hpp>
 #include <boost/process.hpp>
@@ -126,7 +126,7 @@ void NTPMonitor::checkOffset(diagnostic_updater::DiagnosticStatusWrapper & stat)
 void NTPMonitor::onTimer()
 {
   // Start to measure elapsed time
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
   stop_watch.tic("execution_time");
 
   std::string error_str;
diff --git a/system/system_monitor/src/process_monitor/process_monitor.cpp b/system/system_monitor/src/process_monitor/process_monitor.cpp
index 1173431b0f7c2..2ab3e053225eb 100644
--- a/system/system_monitor/src/process_monitor/process_monitor.cpp
+++ b/system/system_monitor/src/process_monitor/process_monitor.cpp
@@ -21,7 +21,7 @@
 
 #include "system_monitor/system_monitor_utility.hpp"
 
-#include <tier4_autoware_utils/system/stop_watch.hpp>
+#include <autoware/universe_utils/system/stop_watch.hpp>
 
 #include <fmt/format.h>
 
@@ -517,7 +517,7 @@ void ProcessMonitor::onTimer()
   bool is_top_error = false;
 
   // Start to measure elapsed time
-  tier4_autoware_utils::StopWatch<std::chrono::milliseconds> stop_watch;
+  autoware::universe_utils::StopWatch<std::chrono::milliseconds> stop_watch;
   stop_watch.tic("execution_time");
 
   int out_fd[2];
diff --git a/system/topic_state_monitor/src/topic_state_monitor_core.cpp b/system/topic_state_monitor/src/topic_state_monitor_core.cpp
index 68fa3764d8ecd..ff58a0c6fd584 100644
--- a/system/topic_state_monitor/src/topic_state_monitor_core.cpp
+++ b/system/topic_state_monitor/src/topic_state_monitor_core.cpp
@@ -154,8 +154,8 @@ void TopicStateMonitorNode::checkTopicStatus(diagnostic_updater::DiagnosticStatu
   const auto print_warn = [&](const std::string & msg) {
     RCLCPP_WARN_THROTTLE(get_logger(), *get_clock(), 3000, "%s", msg.c_str());
   };
-  const auto print_debug = [&](const std::string & msg) {
-    RCLCPP_DEBUG_THROTTLE(get_logger(), *get_clock(), 3000, "%s", msg.c_str());
+  const auto print_info = [&](const std::string & msg) {
+    RCLCPP_INFO_THROTTLE(get_logger(), *get_clock(), 3000, "%s", msg.c_str());
   };
 
   // Judge level
@@ -166,19 +166,21 @@ void TopicStateMonitorNode::checkTopicStatus(diagnostic_updater::DiagnosticStatu
   } else if (topic_status == TopicStatus::NotReceived) {
     level = DiagnosticStatus::ERROR;
     stat.add("status", "NotReceived");
-    print_debug(node_param_.topic + " has not received.");
+    print_info(node_param_.topic + " has not received. Set ERROR in diagnostics.");
   } else if (topic_status == TopicStatus::WarnRate) {
     level = DiagnosticStatus::WARN;
     stat.add("status", "WarnRate");
-    print_warn(node_param_.topic + " topic rate has dropped to the warning level.");
+    print_warn(
+      node_param_.topic + " topic rate has dropped to the warning level. Set WARN in diagnostics.");
   } else if (topic_status == TopicStatus::ErrorRate) {
     level = DiagnosticStatus::ERROR;
     stat.add("status", "ErrorRate");
-    print_warn(node_param_.topic + " topic rate has dropped to the error level.");
+    print_warn(
+      node_param_.topic + " topic rate has dropped to the error level. Set ERROR in diagnostics.");
   } else if (topic_status == TopicStatus::Timeout) {
     level = DiagnosticStatus::ERROR;
     stat.add("status", "Timeout");
-    print_warn(node_param_.topic + " topic is timeout.");
+    print_warn(node_param_.topic + " topic is timeout. Set ERROR in diagnostics.");
   }
 
   // Add key-value
diff --git a/system/velodyne_monitor/CMakeLists.txt b/system/velodyne_monitor/CMakeLists.txt
index c7511bf572f4a..a09e1fe1bf012 100644
--- a/system/velodyne_monitor/CMakeLists.txt
+++ b/system/velodyne_monitor/CMakeLists.txt
@@ -5,14 +5,17 @@ find_package(autoware_cmake REQUIRED)
 find_package(fmt)
 autoware_package()
 
-### Target executable
-ament_auto_add_executable(velodyne_monitor
-  src/velodyne_monitor_node.cpp
+ament_auto_add_library(${PROJECT_NAME} SHARED
   src/velodyne_monitor.cpp
 )
 
 ## Specify libraries to link a library or executable target against
-target_link_libraries(velodyne_monitor cpprest crypto fmt)
+target_link_libraries(${PROJECT_NAME} cpprest crypto fmt)
+
+rclcpp_components_register_node(${PROJECT_NAME}
+  PLUGIN "VelodyneMonitor"
+  EXECUTABLE ${PROJECT_NAME}_node
+)
 
 ament_auto_package(INSTALL_TO_SHARE
   launch
diff --git a/system/velodyne_monitor/include/velodyne_monitor/velodyne_monitor.hpp b/system/velodyne_monitor/include/velodyne_monitor/velodyne_monitor.hpp
index 99f63217f5f3e..841199a845bbf 100644
--- a/system/velodyne_monitor/include/velodyne_monitor/velodyne_monitor.hpp
+++ b/system/velodyne_monitor/include/velodyne_monitor/velodyne_monitor.hpp
@@ -41,7 +41,7 @@ class VelodyneMonitor : public rclcpp::Node
   /**
    * @brief constructor
    */
-  VelodyneMonitor();
+  explicit VelodyneMonitor(const rclcpp::NodeOptions & options);
 
 protected:
   using DiagStatus = diagnostic_msgs::msg::DiagnosticStatus;
diff --git a/system/velodyne_monitor/launch/velodyne_monitor.launch.xml b/system/velodyne_monitor/launch/velodyne_monitor.launch.xml
index eca08165034f2..0dbbc39a9f9e4 100644
--- a/system/velodyne_monitor/launch/velodyne_monitor.launch.xml
+++ b/system/velodyne_monitor/launch/velodyne_monitor.launch.xml
@@ -2,7 +2,7 @@
   <arg name="velodyne_monitor_param_file" default="$(find-pkg-share velodyne_monitor)/config/VLP-16.param.yaml"/>
   <arg name="ip_address" default="192.168.1.201"/>
 
-  <node pkg="velodyne_monitor" exec="velodyne_monitor" name="velodyne_monitor" output="log" respawn="true">
+  <node pkg="velodyne_monitor" exec="velodyne_monitor_node" name="velodyne_monitor" output="log" respawn="true">
     <param from="$(var velodyne_monitor_param_file)"/>
     <param name="ip_address" value="$(var ip_address)"/>
   </node>
diff --git a/system/velodyne_monitor/package.xml b/system/velodyne_monitor/package.xml
index 384456673d320..a6432345c9ef6 100644
--- a/system/velodyne_monitor/package.xml
+++ b/system/velodyne_monitor/package.xml
@@ -16,6 +16,7 @@
   <depend>fmt</depend>
   <depend>libcpprest-dev</depend>
   <depend>rclcpp</depend>
+  <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
 
   <test_depend>ament_lint_auto</test_depend>
diff --git a/system/velodyne_monitor/src/velodyne_monitor.cpp b/system/velodyne_monitor/src/velodyne_monitor.cpp
index 99eebe7ec397e..f9ab3ea14b4c0 100644
--- a/system/velodyne_monitor/src/velodyne_monitor.cpp
+++ b/system/velodyne_monitor/src/velodyne_monitor.cpp
@@ -30,7 +30,8 @@
 #define FMT_HEADER_ONLY
 #include <fmt/format.h>
 
-VelodyneMonitor::VelodyneMonitor() : Node("velodyne_monitor"), updater_(this)
+VelodyneMonitor::VelodyneMonitor(const rclcpp::NodeOptions & options)
+: Node("velodyne_monitor", options), updater_(this)
 {
   timeout_ = declare_parameter<double>("timeout");
   ip_address_ = declare_parameter<std::string>("ip_address");
@@ -229,3 +230,6 @@ float VelodyneMonitor::convertTemperature(int raw)
 {
   return std::sqrt(2.1962e6 + (1.8639 - static_cast<float>(raw) * 5.0 / 4096) / 3.88e-6) - 1481.96;
 }
+
+#include <rclcpp_components/register_node_macro.hpp>
+RCLCPP_COMPONENTS_REGISTER_NODE(VelodyneMonitor)
diff --git a/system/velodyne_monitor/src/velodyne_monitor_node.cpp b/system/velodyne_monitor/src/velodyne_monitor_node.cpp
deleted file mode 100644
index 235940ad33160..0000000000000
--- a/system/velodyne_monitor/src/velodyne_monitor_node.cpp
+++ /dev/null
@@ -1,34 +0,0 @@
-// Copyright 2020 Tier IV, Inc.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-/**
- * @file velodyne_monitor_node.cpp
- * @brief Velodyne monitor node class
- */
-
-#include "velodyne_monitor/velodyne_monitor.hpp"
-
-#include <rclcpp/rclcpp.hpp>
-
-#include <memory>
-
-int main(int argc, char ** argv)
-{
-  rclcpp::init(argc, argv);
-  auto node = std::make_shared<VelodyneMonitor>();
-  rclcpp::spin(node);
-  rclcpp::shutdown();
-
-  return 0;
-}
diff --git a/tools/reaction_analyzer/include/subscriber.hpp b/tools/reaction_analyzer/include/subscriber.hpp
index 21d370a68b556..ff251251373e2 100644
--- a/tools/reaction_analyzer/include/subscriber.hpp
+++ b/tools/reaction_analyzer/include/subscriber.hpp
@@ -14,7 +14,7 @@
 
 #ifndef SUBSCRIBER_HPP_
 #define SUBSCRIBER_HPP_
-#include <motion_utils/trajectory/trajectory.hpp>
+#include <autoware/motion_utils/trajectory/trajectory.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <tf2_eigen/tf2_eigen/tf2_eigen.hpp>
 #include <utils.hpp>
diff --git a/tools/reaction_analyzer/include/utils.hpp b/tools/reaction_analyzer/include/utils.hpp
index 4a31da363deff..17e3786eff7fe 100644
--- a/tools/reaction_analyzer/include/utils.hpp
+++ b/tools/reaction_analyzer/include/utils.hpp
@@ -15,12 +15,12 @@
 #ifndef UTILS_HPP_
 #define UTILS_HPP_
 
+#include <autoware/universe_utils/geometry/geometry.hpp>
+#include <autoware/universe_utils/math/unit_conversion.hpp>
 #include <pcl/impl/point_types.hpp>
 #include <pcl_ros/transforms.hpp>
 #include <rclcpp/rclcpp.hpp>
 #include <rosbag2_storage/bag_metadata.hpp>
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-#include <tier4_autoware_utils/math/unit_conversion.hpp>
 
 #include <autoware_control_msgs/msg/control.hpp>
 #include <autoware_internal_msgs/msg/published_time.hpp>
diff --git a/tools/reaction_analyzer/package.xml b/tools/reaction_analyzer/package.xml
index a5199aa78c9f8..04de3986e3a71 100644
--- a/tools/reaction_analyzer/package.xml
+++ b/tools/reaction_analyzer/package.xml
@@ -17,14 +17,15 @@
   <depend>autoware_adapi_v1_msgs</depend>
   <depend>autoware_control_msgs</depend>
   <depend>autoware_internal_msgs</depend>
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_perception_msgs</depend>
   <depend>autoware_planning_msgs</depend>
   <depend>autoware_system_msgs</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>eigen</depend>
   <depend>libpcl-all-dev</depend>
   <depend>message_filters</depend>
-  <depend>motion_utils</depend>
   <depend>pcl_conversions</depend>
   <depend>pcl_ros</depend>
   <depend>rclcpp</depend>
@@ -35,7 +36,6 @@
   <depend>tf2_eigen</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_cmake_ros</test_depend>
   <test_depend>ament_index_python</test_depend>
diff --git a/tools/reaction_analyzer/src/reaction_analyzer_node.cpp b/tools/reaction_analyzer/src/reaction_analyzer_node.cpp
index 53313f28eb4d9..e890a5208bf22 100644
--- a/tools/reaction_analyzer/src/reaction_analyzer_node.cpp
+++ b/tools/reaction_analyzer/src/reaction_analyzer_node.cpp
@@ -205,7 +205,7 @@ void ReactionAnalyzerNode::spawn_obstacle(const geometry_msgs::msg::Point & ego_
     }
   } else {
     if (
-      tier4_autoware_utils::calcDistance3d(ego_pose, entity_pose_.position) <
+      autoware::universe_utils::calcDistance3d(ego_pose, entity_pose_.position) <
       node_params_.spawn_distance_threshold) {
       if (!spawn_object_cmd_) {
         spawn_object_cmd_ = true;
@@ -394,8 +394,8 @@ bool ReactionAnalyzerNode::check_ego_init_correctly(
   }
 
   constexpr double deviation_threshold = 0.1;
-  const auto deviation =
-    tier4_autoware_utils::calcPoseDeviation(ground_truth_pose_ptr->pose, odometry_ptr->pose.pose);
+  const auto deviation = autoware::universe_utils::calcPoseDeviation(
+    ground_truth_pose_ptr->pose, odometry_ptr->pose.pose);
   const bool is_position_initialized_correctly = deviation.longitudinal < deviation_threshold &&
                                                  deviation.lateral < deviation_threshold &&
                                                  deviation.yaw < deviation_threshold;
diff --git a/tools/reaction_analyzer/src/subscriber.cpp b/tools/reaction_analyzer/src/subscriber.cpp
index 9064f42377d10..02d7a3872953a 100644
--- a/tools/reaction_analyzer/src/subscriber.cpp
+++ b/tools/reaction_analyzer/src/subscriber.cpp
@@ -260,13 +260,13 @@ void SubscriberBase::on_trajectory(
     return;
   }
 
-  const auto nearest_seg_idx = motion_utils::findNearestSegmentIndex(
+  const auto nearest_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
     msg_ptr->points, current_odometry_ptr->pose.pose.position);
 
   const auto nearest_objects_seg_idx =
-    motion_utils::findNearestIndex(msg_ptr->points, entity_pose_.position);
+    autoware::motion_utils::findNearestIndex(msg_ptr->points, entity_pose_.position);
 
-  const auto zero_vel_idx = motion_utils::searchZeroVelocityIndex(
+  const auto zero_vel_idx = autoware::motion_utils::searchZeroVelocityIndex(
     msg_ptr->points, nearest_seg_idx, nearest_objects_seg_idx);
 
   if (zero_vel_idx) {
@@ -299,7 +299,7 @@ void SubscriberBase::on_trajectory(
     return;
   }
 
-  const auto nearest_seg_idx = motion_utils::findNearestSegmentIndex(
+  const auto nearest_seg_idx = autoware::motion_utils::findNearestSegmentIndex(
     msg_ptr->points, current_odometry_ptr->pose.pose.position);
 
   // find the target index which we will search for zero velocity
@@ -310,7 +310,7 @@ void SubscriberBase::on_trajectory(
   }
   const auto target_idx = tmp_target_idx;
   const auto zero_vel_idx =
-    motion_utils::searchZeroVelocityIndex(msg_ptr->points, nearest_seg_idx, target_idx);
+    autoware::motion_utils::searchZeroVelocityIndex(msg_ptr->points, nearest_seg_idx, target_idx);
 
   if (zero_vel_idx) {
     RCLCPP_INFO(node_->get_logger(), "%s reacted with published time", node_name.c_str());
diff --git a/tools/reaction_analyzer/src/utils.cpp b/tools/reaction_analyzer/src/utils.cpp
index 9f9198af7dc48..3ecadb96ee34d 100644
--- a/tools/reaction_analyzer/src/utils.cpp
+++ b/tools/reaction_analyzer/src/utils.cpp
@@ -136,8 +136,8 @@ visualization_msgs::msg::Marker create_polyhedron_marker(const EntityParams & pa
 
   tf2::Quaternion quaternion;
   quaternion.setRPY(
-    tier4_autoware_utils::deg2rad(params.roll), tier4_autoware_utils::deg2rad(params.pitch),
-    tier4_autoware_utils::deg2rad(params.yaw));
+    autoware::universe_utils::deg2rad(params.roll), autoware::universe_utils::deg2rad(params.pitch),
+    autoware::universe_utils::deg2rad(params.yaw));
   marker.pose.orientation = tf2::toMsg(quaternion);
 
   marker.scale.x = 0.1;  // Line width
@@ -224,7 +224,7 @@ size_t get_index_after_distance(
   size_t target_id = curr_id;
   double current_distance = 0.0;
   for (size_t traj_id = curr_id + 1; traj_id < traj.points.size(); ++traj_id) {
-    current_distance = tier4_autoware_utils::calcDistance3d(traj.points.at(traj_id), curr_p);
+    current_distance = autoware::universe_utils::calcDistance3d(traj.points.at(traj_id), curr_p);
     if (current_distance >= distance) {
       break;
     }
@@ -286,9 +286,9 @@ geometry_msgs::msg::Pose create_entity_pose(const EntityParams & entity_params)
 
   tf2::Quaternion entity_q_orientation;
   entity_q_orientation.setRPY(
-    tier4_autoware_utils::deg2rad(entity_params.roll),
-    tier4_autoware_utils::deg2rad(entity_params.pitch),
-    tier4_autoware_utils::deg2rad(entity_params.yaw));
+    autoware::universe_utils::deg2rad(entity_params.roll),
+    autoware::universe_utils::deg2rad(entity_params.pitch),
+    autoware::universe_utils::deg2rad(entity_params.yaw));
   entity_pose.orientation = tf2::toMsg(entity_q_orientation);
   return entity_pose;
 }
@@ -302,9 +302,9 @@ geometry_msgs::msg::Pose pose_params_to_pose(const PoseParams & pose_params)
 
   tf2::Quaternion pose_q_orientation;
   pose_q_orientation.setRPY(
-    tier4_autoware_utils::deg2rad(pose_params.roll),
-    tier4_autoware_utils::deg2rad(pose_params.pitch),
-    tier4_autoware_utils::deg2rad(pose_params.yaw));
+    autoware::universe_utils::deg2rad(pose_params.roll),
+    autoware::universe_utils::deg2rad(pose_params.pitch),
+    autoware::universe_utils::deg2rad(pose_params.yaw));
   pose.orientation = tf2::toMsg(pose_q_orientation);
   return pose;
 }
@@ -316,9 +316,9 @@ PointCloud2::SharedPtr create_entity_pointcloud_ptr(
   tf2::Quaternion entity_q_orientation;
 
   entity_q_orientation.setRPY(
-    tier4_autoware_utils::deg2rad(entity_params.roll),
-    tier4_autoware_utils::deg2rad(entity_params.pitch),
-    tier4_autoware_utils::deg2rad(entity_params.yaw));
+    autoware::universe_utils::deg2rad(entity_params.roll),
+    autoware::universe_utils::deg2rad(entity_params.pitch),
+    autoware::universe_utils::deg2rad(entity_params.yaw));
   tf2::Transform tf(entity_q_orientation);
   const auto origin = tf2::Vector3(entity_params.x, entity_params.y, entity_params.z);
   tf.setOrigin(origin);
@@ -395,7 +395,7 @@ bool search_pointcloud_near_pose(
   return std::any_of(
     pcl_pointcloud.points.begin(), pcl_pointcloud.points.end(),
     [pose, search_radius](const auto & point) {
-      return tier4_autoware_utils::calcDistance3d(pose.position, point) <= search_radius;
+      return autoware::universe_utils::calcDistance3d(pose.position, point) <= search_radius;
     });
 }
 
@@ -406,7 +406,7 @@ bool search_predicted_objects_near_pose(
   return std::any_of(
     predicted_objects.objects.begin(), predicted_objects.objects.end(),
     [pose, search_radius](const PredictedObject & object) {
-      return tier4_autoware_utils::calcDistance3d(
+      return autoware::universe_utils::calcDistance3d(
                pose.position, object.kinematics.initial_pose_with_covariance.pose.position) <=
              search_radius;
     });
@@ -420,7 +420,7 @@ bool search_detected_objects_near_pose(
   return std::any_of(
     detected_objects.objects.begin(), detected_objects.objects.end(),
     [pose, search_radius](const DetectedObject & object) {
-      return tier4_autoware_utils::calcDistance3d(
+      return autoware::universe_utils::calcDistance3d(
                pose.position, object.kinematics.pose_with_covariance.pose.position) <=
              search_radius;
     });
@@ -433,7 +433,7 @@ bool search_tracked_objects_near_pose(
   return std::any_of(
     tracked_objects.objects.begin(), tracked_objects.objects.end(),
     [pose, search_radius](const TrackedObject & object) {
-      return tier4_autoware_utils::calcDistance3d(
+      return autoware::universe_utils::calcDistance3d(
                pose.position, object.kinematics.pose_with_covariance.pose.position) <=
              search_radius;
     });
diff --git a/vehicle/autoware_accel_brake_map_calibrator/include/autoware_accel_brake_map_calibrator/accel_brake_map_calibrator_node.hpp b/vehicle/autoware_accel_brake_map_calibrator/include/autoware_accel_brake_map_calibrator/accel_brake_map_calibrator_node.hpp
index 7d32fdc357510..39d81c26961bb 100644
--- a/vehicle/autoware_accel_brake_map_calibrator/include/autoware_accel_brake_map_calibrator/accel_brake_map_calibrator_node.hpp
+++ b/vehicle/autoware_accel_brake_map_calibrator/include/autoware_accel_brake_map_calibrator/accel_brake_map_calibrator_node.hpp
@@ -17,14 +17,14 @@
 #ifndef AUTOWARE_ACCEL_BRAKE_MAP_CALIBRATOR__ACCEL_BRAKE_MAP_CALIBRATOR_NODE_HPP_
 #define AUTOWARE_ACCEL_BRAKE_MAP_CALIBRATOR__ACCEL_BRAKE_MAP_CALIBRATOR_NODE_HPP_
 
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/transform_listener.hpp"
 #include "autoware_raw_vehicle_cmd_converter/accel_map.hpp"
 #include "autoware_raw_vehicle_cmd_converter/brake_map.hpp"
 #include "diagnostic_updater/diagnostic_updater.hpp"
 #include "rclcpp/rclcpp.hpp"
 #include "tf2/utils.h"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
-#include "tier4_autoware_utils/ros/transform_listener.hpp"
 
 #include <Eigen/Dense>
 
@@ -88,7 +88,7 @@ using DataStampedPtr = std::shared_ptr<DataStamped>;
 class AccelBrakeMapCalibrator : public rclcpp::Node
 {
 private:
-  std::shared_ptr<tier4_autoware_utils::TransformListener> transform_listener_;
+  std::shared_ptr<autoware::universe_utils::TransformListener> transform_listener_;
   std::string csv_default_map_dir_;
   rclcpp::Publisher<OccupancyGrid>::SharedPtr original_map_occ_pub_;
   rclcpp::Publisher<OccupancyGrid>::SharedPtr update_map_occ_pub_;
@@ -107,13 +107,13 @@ class AccelBrakeMapCalibrator : public rclcpp::Node
   rclcpp::Publisher<Float32Stamped>::SharedPtr map_error_ratio_pub_;
   rclcpp::Publisher<CalibrationStatus>::SharedPtr calibration_status_pub_;
 
-  tier4_autoware_utils::InterProcessPollingSubscriber<SteeringReport> steer_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<SteeringReport> steer_sub_{
     this, "~/input/steer"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<ActuationStatusStamped> actuation_status_sub_{
-    this, "~/input/actuation_status"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<ActuationCommandStamped> actuation_cmd_sub_{
-    this, "~/input/actuation_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<VelocityReport> velocity_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<ActuationStatusStamped>
+    actuation_status_sub_{this, "~/input/actuation_status"};
+  autoware::universe_utils::InterProcessPollingSubscriber<ActuationCommandStamped>
+    actuation_cmd_sub_{this, "~/input/actuation_cmd"};
+  autoware::universe_utils::InterProcessPollingSubscriber<VelocityReport> velocity_sub_{
     this, "~/input/velocity"};
 
   // Service
@@ -374,7 +374,7 @@ class AccelBrakeMapCalibrator : public rclcpp::Node
     COMMAND = 1,
   };
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 
 public:
   explicit AccelBrakeMapCalibrator(const rclcpp::NodeOptions & node_options);
diff --git a/vehicle/autoware_accel_brake_map_calibrator/package.xml b/vehicle/autoware_accel_brake_map_calibrator/package.xml
index 335ec2bba2ac3..4b246a2234a66 100644
--- a/vehicle/autoware_accel_brake_map_calibrator/package.xml
+++ b/vehicle/autoware_accel_brake_map_calibrator/package.xml
@@ -14,17 +14,17 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_motion_utils</depend>
   <depend>autoware_raw_vehicle_cmd_converter</depend>
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_updater</depend>
   <depend>geometry_msgs</depend>
-  <depend>motion_utils</depend>
   <depend>rclcpp</depend>
   <depend>std_msgs</depend>
   <depend>std_srvs</depend>
   <depend>tf2_geometry_msgs</depend>
   <depend>tf2_ros</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <depend>tier4_external_api_msgs</depend>
   <depend>tier4_vehicle_msgs</depend>
diff --git a/vehicle/autoware_accel_brake_map_calibrator/src/accel_brake_map_calibrator_node.cpp b/vehicle/autoware_accel_brake_map_calibrator/src/accel_brake_map_calibrator_node.cpp
index ee0b7531d46cb..6a88d5c61a2d8 100644
--- a/vehicle/autoware_accel_brake_map_calibrator/src/accel_brake_map_calibrator_node.cpp
+++ b/vehicle/autoware_accel_brake_map_calibrator/src/accel_brake_map_calibrator_node.cpp
@@ -32,7 +32,7 @@ namespace autoware::accel_brake_map_calibrator
 AccelBrakeMapCalibrator::AccelBrakeMapCalibrator(const rclcpp::NodeOptions & node_options)
 : Node("accel_brake_map_calibrator", node_options)
 {
-  transform_listener_ = std::make_shared<tier4_autoware_utils::TransformListener>(this);
+  transform_listener_ = std::make_shared<autoware::universe_utils::TransformListener>(this);
   // get parameter
   update_hz_ = declare_parameter<double>("update_hz", 10.0);
   covariance_ = declare_parameter<double>("initial_covariance", 0.05);
@@ -217,7 +217,7 @@ AccelBrakeMapCalibrator::AccelBrakeMapCalibrator(const rclcpp::NodeOptions & nod
   init_timer(1.0 / update_hz_);
   init_output_csv_timer(30.0);
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 void AccelBrakeMapCalibrator::init_output_csv_timer(double period_s)
diff --git a/vehicle/autoware_external_cmd_converter/include/autoware_external_cmd_converter/node.hpp b/vehicle/autoware_external_cmd_converter/include/autoware_external_cmd_converter/node.hpp
index 97ee325ecdcca..c219c162d6b37 100644
--- a/vehicle/autoware_external_cmd_converter/include/autoware_external_cmd_converter/node.hpp
+++ b/vehicle/autoware_external_cmd_converter/include/autoware_external_cmd_converter/node.hpp
@@ -15,7 +15,7 @@
 #ifndef AUTOWARE_EXTERNAL_CMD_CONVERTER__NODE_HPP_
 #define AUTOWARE_EXTERNAL_CMD_CONVERTER__NODE_HPP_
 
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 
 #include <autoware_raw_vehicle_cmd_converter/accel_map.hpp>
 #include <autoware_raw_vehicle_cmd_converter/brake_map.hpp>
@@ -60,10 +60,11 @@ class ExternalCmdConverterNode : public rclcpp::Node
     emergency_stop_heartbeat_sub_;
 
   // Polling Subscriber
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> velocity_sub_{this, "in/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<GearCommand> shift_cmd_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> velocity_sub_{
+    this, "in/odometry"};
+  autoware::universe_utils::InterProcessPollingSubscriber<GearCommand> shift_cmd_sub_{
     this, "in/shift_cmd"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<GateMode> gate_mode_sub_{
+  autoware::universe_utils::InterProcessPollingSubscriber<GateMode> gate_mode_sub_{
     this, "in/current_gate_mode"};
 
   void on_external_cmd(const ExternalControlCommand::ConstSharedPtr cmd_ptr);
diff --git a/vehicle/autoware_raw_vehicle_cmd_converter/include/autoware_raw_vehicle_cmd_converter/node.hpp b/vehicle/autoware_raw_vehicle_cmd_converter/include/autoware_raw_vehicle_cmd_converter/node.hpp
index 26b3dde029ebc..181b7926337dc 100644
--- a/vehicle/autoware_raw_vehicle_cmd_converter/include/autoware_raw_vehicle_cmd_converter/node.hpp
+++ b/vehicle/autoware_raw_vehicle_cmd_converter/include/autoware_raw_vehicle_cmd_converter/node.hpp
@@ -15,12 +15,12 @@
 #ifndef AUTOWARE_RAW_VEHICLE_CMD_CONVERTER__NODE_HPP_
 #define AUTOWARE_RAW_VEHICLE_CMD_CONVERTER__NODE_HPP_
 
+#include "autoware/universe_utils/ros/logger_level_configure.hpp"
+#include "autoware/universe_utils/ros/polling_subscriber.hpp"
 #include "autoware_raw_vehicle_cmd_converter/accel_map.hpp"
 #include "autoware_raw_vehicle_cmd_converter/brake_map.hpp"
 #include "autoware_raw_vehicle_cmd_converter/pid.hpp"
 #include "autoware_raw_vehicle_cmd_converter/steer_map.hpp"
-#include "tier4_autoware_utils/ros/logger_level_configure.hpp"
-#include "tier4_autoware_utils/ros/polling_subscriber.hpp"
 
 #include <rclcpp/rclcpp.hpp>
 
@@ -78,9 +78,9 @@ class RawVehicleCommandConverterNode : public rclcpp::Node
   //!< @brief subscriber for vehicle command
   rclcpp::Subscription<Control>::SharedPtr sub_control_cmd_;
   // polling subscribers
-  tier4_autoware_utils::InterProcessPollingSubscriber<Odometry> sub_odometry_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Odometry> sub_odometry_{
     this, "~/input/odometry"};
-  tier4_autoware_utils::InterProcessPollingSubscriber<Steering> sub_steering_{
+  autoware::universe_utils::InterProcessPollingSubscriber<Steering> sub_steering_{
     this, "~/input/steering"};
 
   rclcpp::TimerBase::SharedPtr timer_;
@@ -117,7 +117,7 @@ class RawVehicleCommandConverterNode : public rclcpp::Node
   rclcpp::Publisher<Float32MultiArrayStamped>::SharedPtr debug_pub_steer_pid_;
   DebugValues debug_steer_;
 
-  std::unique_ptr<tier4_autoware_utils::LoggerLevelConfigure> logger_configure_;
+  std::unique_ptr<autoware::universe_utils::LoggerLevelConfigure> logger_configure_;
 };
 }  // namespace autoware::raw_vehicle_cmd_converter
 
diff --git a/vehicle/autoware_raw_vehicle_cmd_converter/src/node.cpp b/vehicle/autoware_raw_vehicle_cmd_converter/src/node.cpp
index 0051dea0a5103..c4d7ea11bbcf3 100644
--- a/vehicle/autoware_raw_vehicle_cmd_converter/src/node.cpp
+++ b/vehicle/autoware_raw_vehicle_cmd_converter/src/node.cpp
@@ -81,7 +81,7 @@ RawVehicleCommandConverterNode::RawVehicleCommandConverterNode(
   debug_pub_steer_pid_ = create_publisher<Float32MultiArrayStamped>(
     "/vehicle/raw_vehicle_cmd_converter/debug/steer_pid", 1);
 
-  logger_configure_ = std::make_unique<tier4_autoware_utils::LoggerLevelConfigure>(this);
+  logger_configure_ = std::make_unique<autoware::universe_utils::LoggerLevelConfigure>(this);
 }
 
 void RawVehicleCommandConverterNode::publishActuationCmd()
diff --git a/vehicle/autoware_steer_offset_estimator/package.xml b/vehicle/autoware_steer_offset_estimator/package.xml
index 08db4f5903abe..5e4638f605713 100644
--- a/vehicle/autoware_steer_offset_estimator/package.xml
+++ b/vehicle/autoware_steer_offset_estimator/package.xml
@@ -9,6 +9,7 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>autoware_vehicle_info_utils</depend>
   <depend>autoware_vehicle_msgs</depend>
   <depend>diagnostic_updater</depend>
@@ -16,7 +17,6 @@
   <depend>rclcpp</depend>
   <depend>rclcpp_components</depend>
   <depend>std_msgs</depend>
-  <depend>tier4_autoware_utils</depend>
   <depend>tier4_debug_msgs</depend>
   <exec_depend>global_parameter_loader</exec_depend>
   <exec_depend>pose2twist</exec_depend>
diff --git a/vehicle/autoware_vehicle_info_utils/include/autoware_vehicle_info_utils/vehicle_info.hpp b/vehicle/autoware_vehicle_info_utils/include/autoware_vehicle_info_utils/vehicle_info.hpp
index c94ea01224da2..e951f11e49ab7 100644
--- a/vehicle/autoware_vehicle_info_utils/include/autoware_vehicle_info_utils/vehicle_info.hpp
+++ b/vehicle/autoware_vehicle_info_utils/include/autoware_vehicle_info_utils/vehicle_info.hpp
@@ -15,7 +15,7 @@
 #ifndef AUTOWARE_VEHICLE_INFO_UTILS__VEHICLE_INFO_HPP_
 #define AUTOWARE_VEHICLE_INFO_UTILS__VEHICLE_INFO_HPP_
 
-#include "tier4_autoware_utils/geometry/boost_geometry.hpp"
+#include "autoware/universe_utils/geometry/boost_geometry.hpp"
 
 namespace autoware::vehicle_info_utils
 {
@@ -47,8 +47,8 @@ struct VehicleInfo
   double min_height_offset_m;
   double max_height_offset_m;
 
-  tier4_autoware_utils::LinearRing2d createFootprint(const double margin = 0.0) const;
-  tier4_autoware_utils::LinearRing2d createFootprint(
+  autoware::universe_utils::LinearRing2d createFootprint(const double margin = 0.0) const;
+  autoware::universe_utils::LinearRing2d createFootprint(
     const double lat_margin, const double lon_margin) const;
 };
 
diff --git a/vehicle/autoware_vehicle_info_utils/package.xml b/vehicle/autoware_vehicle_info_utils/package.xml
index bd8ec0cb601a0..c5d09bd039691 100644
--- a/vehicle/autoware_vehicle_info_utils/package.xml
+++ b/vehicle/autoware_vehicle_info_utils/package.xml
@@ -16,8 +16,8 @@
   <buildtool_depend>ament_cmake_auto</buildtool_depend>
   <buildtool_depend>autoware_cmake</buildtool_depend>
 
+  <depend>autoware_universe_utils</depend>
   <depend>rclcpp</depend>
-  <depend>tier4_autoware_utils</depend>
 
   <test_depend>ament_lint_auto</test_depend>
   <test_depend>autoware_lint_common</test_depend>
diff --git a/vehicle/autoware_vehicle_info_utils/src/vehicle_info.cpp b/vehicle/autoware_vehicle_info_utils/src/vehicle_info.cpp
index c7f587d20b2f4..db223663f1145 100644
--- a/vehicle/autoware_vehicle_info_utils/src/vehicle_info.cpp
+++ b/vehicle/autoware_vehicle_info_utils/src/vehicle_info.cpp
@@ -16,16 +16,16 @@
 
 namespace autoware::vehicle_info_utils
 {
-tier4_autoware_utils::LinearRing2d VehicleInfo::createFootprint(const double margin) const
+autoware::universe_utils::LinearRing2d VehicleInfo::createFootprint(const double margin) const
 {
   return createFootprint(margin, margin);
 }
 
-tier4_autoware_utils::LinearRing2d VehicleInfo::createFootprint(
+autoware::universe_utils::LinearRing2d VehicleInfo::createFootprint(
   const double lat_margin, const double lon_margin) const
 {
-  using tier4_autoware_utils::LinearRing2d;
-  using tier4_autoware_utils::Point2d;
+  using autoware::universe_utils::LinearRing2d;
+  using autoware::universe_utils::Point2d;
 
   const double x_front = front_overhang_m + wheel_base_m + lon_margin;
   const double x_center = wheel_base_m / 2.0;